diff --git a/GISi.sh b/GISi.sh new file mode 100644 index 00000000..6f63d4ae --- /dev/null +++ b/GISi.sh @@ -0,0 +1,9 @@ +#!/bin/sh +# +#SBATCH --account=apam +#SBATCH --job-name=GISi +#SBATCH -c 1 +#SBATCH --time 4:00:00 +#SBATCH --mem-per-cpu=1gb + +python main_opt_loop_new.py 163 163 5.0 2040 1529 \ No newline at end of file diff --git a/Gaussian Processes and Active Learning 200722a 2d version.ipynb b/Gaussian Processes and Active Learning 200722a 2d version.ipynb new file mode 100644 index 00000000..c0e892a7 --- /dev/null +++ b/Gaussian Processes and Active Learning 200722a 2d version.ipynb @@ -0,0 +1,3436 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "Wa6ZQnk939RP" + }, + "source": [ + "# Introduction to Guassian Processes and Active Learning\n", + "A. Gilad Kusne aaron.kusne@nist.gov \\\n", + "Austin McDannald, austin.mcdannald@nist.gov" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NDd8sa7rXh0t" + }, + "source": [ + "Install the required packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 47948, + "status": "ok", + "timestamp": 1617137243122, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "xkA-iGkQ2hw7", + "outputId": "ca494f3d-e993-4f88-ea84-21e22917f048" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR: Invalid requirement: '#'\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: GPyOpt in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (1.2.6)\n", + "Requirement already satisfied: numpy>=1.7 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.16.5)\n", + "Requirement already satisfied: scipy>=0.16 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.3.1)\n", + "Requirement already satisfied: GPy>=1.8 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.9.9)\n", + "Requirement already satisfied: paramz>=0.9.0 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (0.9.5)\n", + "Requirement already satisfied: six in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (1.12.0)\n", + "Requirement already satisfied: decorator>=4.0.10 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from paramz>=0.9.0->GPy>=1.8->GPyOpt) (4.4.0)\n" + ] + } + ], + "source": [ + "!pip install GPy # GPFlow, GPyTorch\n", + "!pip install GPyOpt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "executionInfo": { + "elapsed": 1320, + "status": "ok", + "timestamp": 1617137341028, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "sUPt9qaP339F" + }, + "outputs": [], + "source": [ + "# Support for math\n", + "import numpy as np\n", + "\n", + "# Plotting tools\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "# GPy: Gaussian processes library\n", + "import GPy\n", + "import GPyOpt\n", + "\n", + "import math\n", + "\n", + "from numpy.random import seed\n", + "seed(12345)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lvHJ4i7b6G9l" + }, + "source": [ + "This function allows us to plot Gaussian processes." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "executionInfo": { + "elapsed": 462, + "status": "ok", + "timestamp": 1617137361146, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aby9EEjf34xb" + }, + "outputs": [], + "source": [ + "def plot_gp(X, m, C, training_points=None):\n", + " \"\"\" Plotting utility to plot a GP fit with 95% confidence interval \"\"\"\n", + " # Plot 95% confidence interval \n", + " plt.fill_between(X[:,0],\n", + " m[:,0] - 1.96*np.sqrt(np.diag(C)),\n", + " m[:,0] + 1.96*np.sqrt(np.diag(C)),\n", + " alpha=0.5)\n", + " # Plot GP mean and initial training points\n", + " plt.plot(X, m, \"-\")\n", + " \n", + " plt.xlabel(\"x\"), plt.ylabel(\"f\")\n", + " \n", + " # Plot training points if included\n", + " if training_points is not None:\n", + " X_, Y_ = training_points\n", + " plt.plot(X_, Y_, \"kx\", mew=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IjuRaWnL6Vh9" + }, + "source": [ + "### The Kernel is key:\n", + "Gaussian Process: P(X) ~ N($\\mu$,K)\n", + "* $\\mu(x^*)=K_{*x}(K_{xx}+\\sigma^2I)^{-1}y$\n", + "* $\\sigma^2(x^*)=K_{**}-K_{*x}(K_{xx}+\\sigma^2I)^{-1}K_{*x}^T$\n", + "\n", + "Let's see how using different kernels impacts the possible curves.\n", + "\n", + "Applications for each?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LCsVZdn-sap8" + }, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 23575, + "status": "ok", + "timestamp": 1617137428168, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "7B1UW-BY6UVu", + "outputId": "3e72ed57-abd8-46a2-df61-6dd9046855e0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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ARVZfAj1IkOxL4IO+2I8DCGlBgLxo/QqUf8NFfxEBhWjHA6X3QKEEK7p6bUffEIper2kLcuUoyG5y4a+k71eBZivqDVDbQl/1113GYC7ow3spk+QtQ0jrV6B9BsbCvtYyBIe+VoZQqn+ggKUHPZA9hu+BSQdOYpNDQgghhERI6Fsg2gIE8bh7C8RIRt020NgCEQA6gv3c1O0Mw/MwSBDbjecwt0I0gwIlUY58iOwa2ymq+tHzKXObtirnMrIX24rncG2HqOqatjS7ls9aPQ8X6SXlVbxIsxvIScVWuCAPx1R9de1j2jX/1td6HFgW+rpd9aZyLoDEnn4SyVfjIvvcVHHGM3z0087NhXYOu6ny5uI6r1+KfOqiPYct7VlL+rks6Qv4bFvxQl+3pY9Hdo2FsPUzCfSjfgUdSsBDsysq90qKL5EtEY91KIEBdbHuGi+VontJW0pPAc1WKQ4YlDrigEGHabcj7kPQ0ZHQjwIGdST8/wEDBT2QzQewySEhhBBC7Kh/3Klvu53jymJdkzH+SCwrf6qpC3J1sd/lsqucp72BL2tyyrnDd/05DH8dc+q2XHO4/XXN7zqXjrnNN/xuH+06+jms45UBWOVcK3LXHPqq1tB3ZRU44gxazMEMVOS05YplOM89dYTPHNXopNlSxouylbCj6ajfHFXYctlVitu9nqNsH6/YtX8Di1rHPXTc54rDZbddlMv6PVI1vZrtQDsRNjm84J8X4PqXr8e0RdNw0Z4XYZ3OdZrtGiGEEEIajt6TANAzBgCgmkwCU6Zyrb7Nz59JYKJlD+TIJHCh9iVQr2Nb8RxZhCUHsR0jYyDHGzc1W0HdErGakgBdv4CyAiNboRacC/1mIuBelOe1EyBR5bMKRV8dz2lLilhfQkCEWSh5/ArepEvI2FYJCJNxfG3pvgAizCgoy+ixKh5Wrlw2pYifA4G8CCzLkoQox7OEHgtjAR5mB2ifbUlCli3j5j3VVknoAYxoHEA5/N1Rjl91W2WDm2rAoEGvxhu95Wq9YUZBTtjkkBBCCCGAnmoKxMGAqGdAjqaFtp4EIWnbILqaFpqYzQsr/rq3QXRh70uQDBKkYe8/oPclMDFLETQ7xuG78FYX/eaWiHmQUkSN8+JtDXPi29MgawVZ5cK86PWNmu5eFWGqvUs/y66IjzwfiZamH86vHj4Yumb5QD79ZAPDqIQBDntBc0Oosin9CpLzi6BEITxH5raJpr6zyaFWimDcC0sRqmlyGNpV57f1LqgjLD0gAMAmh4QQQmpm9uIVzXaBFEi93iSZqf1F4fNmvzq79fK3PnbbLjO5Tp9D3TIS2sxuvT6HdrNbtx+MdrPbw2GgoAbY5JAQQkhepJS49olp2PPiv+EfU+c32x1SI2lbH+ba3cDYAhGIMwniTIDs3Q1iv9RshuQuB1nbIHZJUz98269kM2T0PYj9UrZHDDMJMt6aubIFfMsO1G0Tq8kUqHXrw1gvl1qgHBzVvllMfRVfZ/K8ebfoVuO69Y17jjlRrX7wZj1sCOir68wWCN/ce/vryDZw6prySmPDtJ0cwowE320TLbrWLRVdOyWE5NkNwWm7pGcW1BFpZJPVcrQK7FFQI2GTwx8+/kOMe2ocpi2ahu/u8F2U6txZkxBCSPuxaPlqnHrni/jzf2bjgI9viK2H92u2S6QGJPRyAyjXIerOBXqPguDcsrtBRUbfoSAMEES2lPp/FXOHg8p5stzAhs8OBwmdyL+4hCC2JTSZpK4irwQBsrY/tO1w4FtyYO5okKvfgbLwzxM4SNvtIFvZ+LcaXR9RUfvbaasN4eFH+FHmmV/9+HPqxdX4Fl2Lv1LYp0v9vMIveWgysGud0yDRryDsFwBp+XwFIKVfvwLbsyLotVAKei2Ug34FovJBmXOGP8qVvgUy1g8FzL4E4Te8EJV7EEDZEo/Q5g8nk/FODmYvgqhHQalys0OENUR2So1Zl3W3HgUMFBSA2uTwupeuw7SF03DhnheyySEhhJCIV2YuwomTJuO9D5bjrC98DMftPhKizm84CCHEh7YrPagX7fY51C2Vvz5mnQv5WmmB0oOwR0F3goGCggibHI4aMAo///fPcfSDR2PC3hMwrO+wZrtGCCGkiUgp8btn38VZ97yCQeushTu+vSs+semgZrtFCkItNwivo3tV7m5QkY/LDcJx2+4G4XWso+uHc5tv9aN7xk4Jun7yj94u7S2+fZcDG5EOdP08jQ9VO6k6yhy+JQfmjgY+hJkCUjn3pqoMgSoWIc1fP9lR37hXkRHgpaN8XNGL7Tx+Rco+8jl2QNDmULIFsuYTyg4Ghr75TRt+q4iSiLYSzMxOACplAOXkLggIddV5okC3shsC4M4OCOwn7mnzO3ZKCBIHbP5GWQWKfcAhT3LB/PgCYZNDQgghKstXdeHHd07B6Xe9hF02G4QHvrcHgwTdiMobpFKiF0GtuxtoPQnCfgCKjkq4DWLsh767gfmGy+xLoO6U4FpQm30J1H4HSdnq+hLoOyDoWyImZC1yvmUHsXy2rNrbwDulOMe2iVHvgzwlAjKxJmw+AtX3JfAgrKn3miOQy9NnIJdOFfLSU8far0Ck9B4I5QQS/QfSfLH3NxBafwGtZ4G2a4KI+xVYPhdzNwSt94C2s4HjnqvfgbbrgSkvgI4OaLshuHoX1BX9938tR+osQowQQvxNCPGqEOIVIcT3g/FBQohHhBBvBP8OrPWJGCioA2xySAghZNrcpTjsqqfxh+dn4Pv7bImbjt0Z6/ft3Wy3CCGEdBdaLWiURb2iXOXmfxASiJrM1npksAbAj6SUHwWwK4CThBAfAzAGwKNSyi0BPBpc1wRLD+oEmxwSQkjP5YEps3D6XVPQ2SFw07E74zMf2aDZLpE6IKHsbGBrSOhRbqBuf2hrXqiWG4SoTQfTyg0iebOZoVFuoGJrYGiWG6hoZQQ1NjB0ymvlCulZCaGM9JT3kQuRSrZAVtZA3qaHccNDL/H8C8Tmr6PidHhfX+LMdi+5vCUJWfKRv4oL6fJhynxKA0GXXTOt3+VvVmPD8B4UHaWxoeqDrewhamyopu2L+EQtQ5BBiYEoK74LZJchAEGjQtjvhShlCJobtjIErblhSFkZt03QnkgpZwGYFZwvEUK8CmA4gEMAfDYQ+w2AxwCcXstcDBTUkQF9BuCaz12D8/95PpscEkJID2DVmjIufPBV3Pj0W9hhkwG48ms7YqMBazfbLVJH1K0Pw+voXsruBmaAAAgX9HpPAjNAENp17W6gYutRYPY3CG2EfsS9BJRdFozFrq0vgRokMO369iWw7mZgK29Q5GSKXIi504FbLpb3KmUw7LsFw+BCpskAzxTpVuiwLqSfH+qqOEsO+Rbx3rsqoPI1cHor1IV7il3Vnqe8n5xl4a7sgGDKJgICNrvq3Eq/AtvODqF/iV0QLH0JpLLXgSzJYBcEaN/kUlh2QxCKPaVvgbUvQaAHACirgRgkAwDB7g96jwJH74I6UmAzw8FCiGeV64lSyommkBBiJIAdAPwTwNAgiAAp5SwhxJBanWCgoM50dnTi7N3OxpYDt2STQ0II6cbMXLgcJ906Gc+/sxDH7j4SYw/4KNbqxSwyQgghBIAedCiSFmjcIaXI7C+Qg3lSyp3SBIQQfQHcBeAUKeXieuyixEBBAwibHG7ab1Oc+vipGP3AaFy+1+XYfsj2zXaNEEJIATz++lyccvvzWN0lceXXdsRB2zIY3BOQiMsIupS3/SFp5QZdyisus9ygoltKvP3PKjeoXCslBka5QeiTakvPSNDLDVT07AR3eUGusgKjpCCreWGaLfWez04HatlBqpxH48PKpIjm9pHzwlO2blsbFoFv+UAoW5Sc+ia9iMwEn0yHSCZjBwStlCDDrkDUOFCUk8/kKmOISgQUm1LoZQjOsge1fEDbhUAqk6SUIUQ/DGYWgGNHA88yhEhclXHthhDd64a1BwCEEJ2oBAkmSSn/EAzPFkIMC7IJhgGYU+s8fNXRQNjkkBBCuhddZYlfPfI6vnHjvzC0Xx/ce/LuDBK0MUKIHwshpBBisKdGvLOBUvvv2t0g3DnADBKEOxWE5QauIIFrd4NIBvqOBNG5ZaeEcPEd2lODBLFv8S4H4Q4K5gI8ucuBfZFu2wEhsy+BQ0bd6SBrN4WsnQ7Ue1klB+pOCGn42qrsq5hqyk/GF2f7/Kaa8rKV2dE/j63gSLMVzZVlz0PGy5ZQn1G4n0O143iDHN2LdipA8llLImkrlNfmEfouBBZbmn4pPtdKNGw7Gjh2PHDuhhD5bsjYdjdQ75UEKjsi1H/Zq/7+r+VIQ1RSB64H8KqU8pfKrXsBHBOcHwPgnlqfh4GCBhM2Odx+yPYY99Q4XD75cpRl94pyEUJIT2D+0pX4xo3/wuWPvoHDd9gYd5+4OzbfoG+z3SJVIoQYAWBfAO802xdCCCHtRbhdbhFHBrsDOArA3kKIF4LjQAAXAdhXCPEGKv8vu6jWZ2LpQRNgk0NCCGlvnnt7AU6a9DwWLFuFi7+0Db6y0wjUoz6QNJRfATgNOd7CVP4wFImmhSGucgM9CyBZblA5F5GNUK7acgPTnlluoKI2MLTtoKD6n7bLQS0NDG0yWaUHeXY6ANJLBHxKF2SGjVgwW6YQOy1YfiCFR1mEkqletYz60Xg0IKxVJrMxoVBS99V0/dC0iPWd5REejQ2lAGw7F2jzaSUCjvm0ZxKJHRWi8gGzDCGqoZDKM6WXIUQ+mmUI0a4Jwr1Tgoopk1Vh0I1ejUspn4I7H2afIudioKBJhE0ORw0YhUuevYRNDgkhpA2QUuL6p6bjogf/i+ED18YfTvgUPj68f7PdIjUihDgYwHtSyhezAj5CiOMBHA8AQzbqFQUJ1F4EIerOAebWhyHmFoi2AAHg3t1A29FAPXdsp6iWG6h+Rr64Fv7qoj/y0Qwg6H0JrD0MIDKDA1nbIao7HbgW9D47Hfj0H1C3RHQLZQUeYrk0G1n49UroPgHLaPGZ0WMgu2dA7TKZ/Q7SZDyCC1LJ1PftV5A3IJCYI2XbRNWWNo/WS0B5quCbUwteqLshBAETs2dBbCsUk3GZgaungUogEwcglHsNT9gutJlhS8BAQRMRQuDrH/s6RvYfiVMfPxVHPHAELtvrMjY5JISQFmTxitU47c4peOiV97Hfx4biki9vh/5rdzbbLeKJEOIvADa03DoDwDgA+/nYCbaomggAW23bpwXf4xJCCGk0EnHQtbvQvZ6mTQmbHK7TuQ6++fA32eSQEEJajP/MXIyDJzyFR16djTMO/CiuOeoTDBK0GVLKz0kpP24eAKYB2AzAi0KItwBsDGCyEMIWVDBs2psWxg0J9aaDatPC8ChrunFTRCAuN4izAEpa9kCYQaCdGzschDZVOypqk8UwCyA5RzxuNtpKNCm0ZAnU2sAwbqrobhAoPWTCnQ5s930aFUopMnsLZmcoZDVD9CgxqDE81ZBdElIewyvpIesjEukyXg0IM+b3ayjo8COSsdz00M9qbFhpGmj3MdE80WwGaD6f0tgw1heJZojS2VBQn0PzvQSlwaHqo/BrYGhrfggkZKz6tiaHJBfMKGgRwiaHP3z8hxj31DhMWzQN393huyg1oEMnIYQQN7979l2c9ceXMWCdTtx+/K745MhBzXaJFIiU8iUAQ8LrIFiwk5Ryno9+GCSwbStolhuo99LKDWJdvdxA7RVQTblBrCus5Qb6cxk9BpS51b4EkYw1gOC6J6J/fXoXJO4p5Q3OoEAwXk3ZgV9JgnulKZ0rTFWoyns+1DsQIOo4h5KpbsOn1CBNP813NTU/ISPiYVdZgKpq1vinbpcY6DvLEyz9CnThwK7SM8Bu12/bxPSSBhHom1sa+pYhKGUOoS1AL0NQ+xWEZJUhKPrKo2f3LigYsxyr3WGgoIVgk0NCCGkdVqzuwk/ueRm/e3YGdh+1Pi4fvQMG9+3dbLdICyHhblgIwBokUFNTzSCBuZhvdJBAtyu0sRJkonmh7c2/6140txEAKAlp6W1gtysVuRAhpNZ8UBp21c8kLRvBvCeE3p8g/Fdb6gQXVrtCApaAQ+ivOnfCcHie0A2GJJKBCJt+4lw6AxjOBXhOu1pfAWEsjJUggDafiHnGCV8AACAASURBVMdgyrt0Ed8z51THIz+C8YRMaN4WCBCGTB67QjMBiXgBrH3JLfrhW3wh7XNHuh2Bbtm8F2QCSGmxKwK7MppD++yDgIEMAgYV/ThQEfulBwwkBFBGJWAQfqOaTQ5Vf6VUPl8R+CUrAYHAVviFiQIHHYFNMxgQ/7BGAYPKM6h2UXckkhlb7U73eppuQNjk8PRPno7HZjyGox88GrOWzmq2W4QQ0qOYPu9DHHrl0/jdszPwvb1H4ebjdmGQoIcgpRzpm02g4nqTpC3SjSCB7dzE1hCwYjeez7a7QUXX/XbL7W8ycJC0m99fPSCRfW6Stsi3nZtBgvx2HXNoQk6z7gW5w1/NljNTIWVOl7527v4cnG/pa7Er3XaFw5ZrPKHr4a/TVoquj7/V2XV9Ue3nzvlMu6435do3cE67ZlaBgq6vXKh+OP2VTn9dtoT+g+i067rn/NyJF3UNFAghtlL2d3xBCLFYCHGKIfNZIcQiReYn9fSpHQibHF65z5V4b+l7OOKBI/DCnBea7RYhhPQIHnp5Fg6e8BTeX7wCNx77Sfxwv63QUXL/gV0N5RUrMP/6GyBXry7ULmk0YY8BvRdBeKj9CNReBGEmQdSTINKN6+zjvgZC2/IwHIvOLZkE6haI6q4JZRn7q7/dV+3GPQl0u2EfA8s2iEjqJO/l612Q1pcgsxdB8CbftkaIdfPdA8KXpK4eB+51THZjg7R7wrkQFykL25Yj7VeoSL+fms2doZdXN9Jx6YkUuwLOZ9Hq+R2+WnXV+Wx9BqIeAKZe5W26265wP6vSs0B7TkMneibA6CUQzqkExYJrrWeB9oxKj4HAVkXP1nvAnM9x2HoX1Bn1938tR6tQ19IDKeVrALYHACFEB4D3ANxtEX1SSvmFevrSjoRNDk969CR88+Fv4pzdz8EXNufHRAgh9WB1VxkXPfhfXP/UdGw3YgCuOnJHDB+wduHzLHv+ecwaOw6r3noLa22xOdb77GcLn4M0Bgm93CAMDoS4tj4Mr4G4F0E0bik3UEsConuWt/1hgEC1U5FPLzeI7RoL8siuETgIAwyWEoV4PsfWh2qAwlihpPUlMOczdaR0zJdRcqD+a7vnxPly0706raWJYRSEEO65k0qeckB67b8vFt9qsht+JDZ91z31Y7ToRWULabqWcbMEwNSRtnuu+VQdmy+O+Sq2gu9ZGGUFJaUEwaIH6F8es6RAfXQhUQkWAEBZeugo5QElKL0ElCcMyxDC0gdt68T4A5BQtzrUywi0nxBzPrVEQcXSu6BeSIClBzWwD4CpUsq3Gzhn27P5gM1x20G3Ybsh22Hsk2MxfvJ4lGXDNwYlhJBuzaxFyzF64jO4/qnp+ManRuLOb+9WeJCgvGIFZv/8Erx95NdRXrUSm9x4A4ME3Yh6vQVqpbdLPqSVD9RkN2MhXS2ZAYFWo04ZBPXKTGibjIeQevnbbnbrRP2+z9rsg2gTGtnMcDSA2xz3dhNCvAhgJoAfSylfMQWEEMcDOB4ANtlkk7o52YqoTQ6vfelaTFs0DRfscQGbHBJCSAE8+cZcfP/2F7BydRcmHLEDvrjdRoXPsfzFFzFz7DismjYNA77yFQw57VR09O1b+Dyk8ahbHwJ67X9YblA517MJ1JIAewNE/S2+2bjQlp1ga1wY+6G/rbc1LlTHzcaFqk218aCKei8x7sgWyBq3NTCUDp34vj2wUM1OB+GWiPZ53EGG1DKENKpZ7zRKp5ppwrfZeedLyZxwZSmkZi9kZCAovfX8deB+cx8Pmjr6m2/n237lvj3rQMC6C0JgLJ5WRN+Mqq2srIPoXklUehZk6gRZBGm7IaCSiRD6JYO3/aIMpSwgfirtc0zb9SBrR4RApt5I5Xdmd6EhgQIhxFoADgYw1nJ7MoBNpZRLhRAHAvgjgC1NISnlRAATAWCnnXbqcWGjsMnhqAGjcMmzl+DoB4/GhL0nYFjfYc12jRBC2pJyWWLCX9/EZY++ji2H9MVVR34Co4YUu3gvr1yJeVdcgfnX34BeQ4dixHXXoe8euxc6B2keMli8++5qEI1DLxEwAwKAfacDV9ChqHKDsuavY0HvCiwYC/rU4EBKoCH819aXAEguzrODBvaSBFevAdsc2eMpQYO0EgUX1QYZasCrRCCtFKCK+YDqAwiavzkX9KYtL51qbAXjZgAgrOsXkIkFfjRHOJZRkqAt1oMf/8rCW7WlRENstizBBBk8j7MMQflZ9y5DSJQuBOfKIl7dQlGzJYS+hSIMXDsiNJgySw+q4gAAk6WUs80bUsrFUsqlwfmfAHQKIQY3yK+2gk0OCSGkGBZ8uArfuOnf+NVfXsdh2w/HH0/avfAgwfKXXsL0L30J86+9DgO+dDg2v/ceBgkIIS1Ju5UI0N8603b+tpvD7UGjAgVHwFF2IITYUIhKeEkIsXPg0/wG+dWWhE0O1+61Nr758Ddx/7T7m+0SIYS0DZPf+QAHjX8Sz0ydjwsO2waXfmU7rLNWcQl25VWrMOdXl+Gt0UegvGQpRky8BsPOPRcd661X2BykNQibV4VNC207G0TX0Hc3UHdJCNF2M1AyC8qKPTVDwdzdQN0pINqNwZFNYNv1QN3dQBsPmxMmmg+WNDuVsZQdDpQmh2r2gHloeo4Ghrasg3DnAVc/g7SdDpKywl52ICuHO4MgR/ZCYKsQXE0Ui5zDhWv7hSpe6TofwzHunCNl3GpLpHxMOW1VmvbpepGcZV44bEjlnn0OYzCULyVlQ3nNljq3siuA6r82bxG7IVh1lOyEcEeEQD60JR27GeTeEaGOSAnt938tR6tQ99IDIcQ6APYF8G1l7DsAIKW8GsD/AjhBCLEGwHIAo6VkWCiLsMnhDx77AcY+ORbTFk7DyTucjJJonW8uQghpJaSUuPHpt3DBn17FsAF98IcTP4WPD+9f6BzLX3kFs8aMxco33kD/ww7D0LFj0NGvX6FzkNYhrEn17UUQjSsBgkR5gRIgCG2EdrWdDrTSBcVGSrlBOJ9PuUEYBDCfSd0GUZ83udDXggEZvQtU8vQliEsSkjZs8q6dDtLKB9JKDvKM516JulbM7Y6AM03fd9xVupB3PK1swdYzwDUepuwnbNnsi3DI3a/ApyQhXGQLiXgXhNBHtQxBKVNI7JpgPlNQhqCVNKjPm3M3hOgRwj4CAsozqzpqsCDsXaB/4bXeBcaOCNZdD3x6FxSK/fdcO1P3QIGUchmA9Y2xq5XzKwBcUW8/uiMD+gzAxH0nsskhIYRksGTFapx+1xT86aX38bmPDsWlX94O/dfpLMy+XLUK866+BvOuuQa9Bg3Cxlf/mjsaEEIIqSvtVtJQr90JuOtBfWjkrgekDphNDo956BhM2HsCNlx3w2a7RgghLcF/31+ME26ZjHcWLMPYA/4Hx396c4gCUxBXvPoqZo4dh5X//S/6H3Iwho4bh47+xWYqkNYlzCbwaVoY6VgyByoywppJYNpVdzcwswnM3Q2S8+nzqrsbaOPGW329TEHPJIjkLSUIic8rZdz25t5eYuDILgjfUFqyBWzjaTsdWMnTmDBvE8Oc2QnttkCsipS3/bVmJACwNnA0+yOm+ZKWRZDIOlCzAjQb4RvvlMaGxpzRbU1exDsKqPKlIKsgkI/1DXkta0FE33jqM2q+uHZDUP1QfJRCxFkFCBb20Ydn+hL8HJdkkFUQPU3wX6OZYcaOCAC0Jof1QgItVTZQBAwUdAPCJocj+4/EqY+fitH3j8ble1+O7TbYrtmuEUJIU/n9czNw5h9fQr8+nbj1W7tgl83Xz1byRK5ejXkTJ2Ler69Gx8AB2PiqK7He3nsXZp+0PmFNqloWYO48EC/o7QGB8DqU0QICit1k6UJYFqDuslD/cgMVV/8A019VziuYkGLXFQRI9k/IW0Zg2HWN5+hNkC5vH665n4DTbmNTom2LcOfCv15284ynlggkyw9sdm3lDdFC22uxb5/PJh/azUr/h7SXIVQG3GUI6k4JRZQhVK4F0FEJEui7E8SRCqk46LWFopSV8axdDxqwPSKg//7vDnSvp+nhqE0Oj3voODY5JIT0WFas7sKYu6bgx3e+iB1GDMT939uj0CDBitdex/SvfhXzJlyBfvvvj83vvZdBAkIIISSFupUIsPSgLjCjoJvBJoeEkJ7O2/M/xAm3TMZ/Zi3GSXttgR987iPo1VHM70C5Zg3mX3cd5l55FTr69cPwCePRb999C7FN2hER72yQ0bSwcq1kDhhNDAFoJQzRtWEvnMPMJIjGrfMlswnylhuoY2WrXUszQ4ucbjcetzUwjMZzNjDUx+zjtrKDPG//XXat65W8TQw9fWgFrG/4C9D3teutn/W23lKCoL0Nd2QBZGUHWGsZqmxsaC11yJOFoJQhOMsFggc3mxua86eVIUDRTdoNMgFKEgh9EQLC8kGpTQ6lkhGgNjnUGhwCiSaHjcyjkZZMqHaHgYJuCJscEkJ6Kg+/8j5+fOeLKAmBG76xE/b+n6GF2V7x+uuYNXYcVrzyCvodeACGnnUWeg0cWJh90n6ENak+vQjC64qMsaB37Jigli5U9ONygy5jka7aj+ewLPQtQQKfcgNVxrWzgYqvnHTMnbcvgTaW0nvANb825hr3LTvI258gy55Tzk+sFfAOKPiWC+QtK/DpXZC2mM+hb1u0+wUtwkVv3K8gqw9C2s4FNn21DMFZLqBESaopQ9B9d9mt9CyIXCsnn13vd6AEELTeBY6AAdCEXQ+6X+kBAwXdlLDJ4RYDtsAvnv0FmxwSQro1q7vKuOTh1zDxiWnYbuP+uOJrO2LEoGKCo3LNGsy/4UbMmzABpb59Mfyyy9Bv/88XYpsQQgghpBVhoKAbI4TAUR87CiP7jcRpT5zGJoeEkG7J+4tW4Lu3Tca/3/oAR++2Kc446KPo3aujENsrp07FzLHjsGLKFKy3337Y8OyfoNf6xfU6IO1PmE1Qa9NCwL6zgbmrQUXO/eZfLTcwMwlU3SLLDWxyKjY5IPmG3TZuzy7QnynUsaX9Sou+akOVs5KQc4jVUMbgnRnQxEyDmjMCqpULZauQc5YVWMZtz2etGnC84Tf1zdT/PKULWiq+JYsg8t281ny0ZwFkZkAEb/HzZCpoJpUyBP254+yAcGqtIWHw66ZSLpB00t3k0J5ZEGk2eNcDW9PXdqZ7PQ2xsufGe+KWA29hk0NCSLfj6Tfn4QsTnsQrMxfj8tHb42eHfLyQIIHs6sL866/H9MMOx+p33sHwX16K4ZdfxiAB0QhrUsNeBGGpQXjYrl07G4SlBuFhCxJ0SRHtbBAf5hzxuD5HqBv6KqxBgvB+fC2iMgK1fCArSFA2/FTH1cV7GSJRpqDqS2NO24LcFkiwjWeVHcjwsMj5736Qce0inFybw1e3UYnVVSBQdd63FPZHS1R62ORcc9rkhOU6S84iG/mR5UvOObTnE/GYinT6Iqwy2no2MYdwzylEXKZgeV4pUClDKAntOVN9ESI6UDKuIzlTt+KHLAXPEvpl2I3GS2jAqldov4trOVoFBgp6CFsM2AK3HXQbtt1gW4x9cizGTx6PsixnKxJCSAtSLktMePQNHHX9PzFgnbVw78m745Dthxdie+W06Xj7a0diziW/QN/PfBqb338f+h14IIRonf95E0IIIYTUE5Ye9CDY5JAQ0h344MNV+MHvXsBjr83FodtvhPMP2wbr9q79f2eyqwsLbv4t5l52GUSfPtjokkvQ7wsHMUBAUlktK997allBSJ6mhRV5M91f39nA3L1AnTfSsc6RbExYZLmBOp+zuaGtrMDIJHA2LDSvYbFlyTYwZSrX9vsJVastc8D+u8Ev+8Dz94oxZy07DNSiWygC1ZdHmLq+tsKPO6NcwLqDAvSvlrWkweZXqJu3saEw0vLTbClO2ssYUpoRKo0NE3OYzQ0jv8JT5edWTfhX/VDLEET4Oep6ykcQjClNDsvQGzxadQM/E6UIumeN+L94dyw9YKCgh8Emh4SQdub5dz7Aybc+j7lLVuK8Qz+OI3fZpJCF/Kq33sLMcWdg+eTJ6LvXXtjwnJ+ic8iQAjwm3RmJZIDA3OXAtxeBel2R1fsR5Nn6MJLJCADY7ObZ3cBVbpCmo34OKmaPATNoYOtLYLOt6mbJ+Czo/WQSQ3Z8yhKKLCOoZ2DAsvCuljwL72p6H7gW56kBB329mcsvawBCsWVb0GuLcE03fdtEd3DANp+IvllVGXXbxGhBb9t5QFmrO2Vi1ysyJWWkLI2PzhWMCBb3ia0O3b0LMrdRbFDAv5XKBoqge4U9iBdhk8Mr9r4CM5bMwOj7R+PFuS822y1CCHEipcRv/v4WvnLNPyAE8PsTdsPXd9205iCBLJex4OabMe3Qw7DyzTex0cUXYeOrrmSQgHiif//ZtkIEkhkEsUxyUV2R1/88c+3NbcswSMrY50uf32c+v5892+LfxHvbQA8dWcV8Pmtdr2BAtf0JiqJVMgZSKDQO4mPLQ8Za72+T87FbzfN52PJe6Go6LhlhlTF/hWj6jvlzy6T4qNtSx4X13PzcnL4wK7BqGCjowZhNDh+Y9kCzXSKEkARLV67Bd297Hmff+wo+veUGuP+7e2DbjQfUbHfVO+/gnaOPwewLLsQ6u+yMze+7D/0POYSlBiQXahND9RoIygrCcYi49EB5e642LVTLDdTGhaHdkLBpoepDOEckk5EpoNrV53dkDqSUG7hkrBkCho7fW/z0+6GMLUig++AZJPBpKphYXabbqJlGz1cNRt6+7wK8Gmy20hakrjEvHwWsQYLEwtZjvszr0K5toWwuqrOurTqWIIGIgwSVxoDxPVXHfF7bwjxVJmxwmJhfGPOF5yJ+9lL8OURNDsN5FX2t2WLY5NAYrxdSqs1iaztaBZYe9HC2GLAFbj3oVvzwsR9izJNjMHXhVJy8w8koidb5JiWE9Fxee38JTpj0HN6a9yFO238rfOfTW6BUqu1/9rJcxge33oY5l14K0dGBYRdcgP6HHcoAAcmNtfTAsqNBdK0EB9QxsxeBKpvViyCcR9UN9WxZAqZdU6aacoO0f4HgD2iLTto2iK6SgyL6Ethl0q+LsmtfGZo2kiLdFoHMIIe1dCBnKYF3eUNWWQH0r6DLrlZGYLmObCkp9+ok9pICfdtEn5KGvGUIkNBLEQwdc4tDZSovmagUoRzL5O5dAETbHcblCELTjXwpqd7Vn64WWuQXAQMFBAP7DGSTQ0JIy/GHyTMw7u6X0Ld3JyZ9a1fstkXtWxOumjEDs8adgWX/+hfW3XNPDDv3Z+jckD1aSPWYzQpdjQqBOEBg2/Ywtqcv9it69kV+RV8kAgTJORwZCMZb/iKyCNR/fbII3EEDxNcF9iXQrhMCCRW/BoZZb/etGQlV2IVl0VwQbWM3XMwH/5r2vQMC0MciOw67ufoa5LCb11+tuV/u4IApE0YsZEJGa3ToqeNlN7y2NDqMPgdnI8X4ZyQMGoQBAwgEvRz0gIMwfneQfDBQQACwySEhpHVYsboL59z3H9z2r3ewy2aDMOGIHTCkX5+abMpyGQvvuAOzL/kFhBAYdt656P+lLzGLgBRGvd4k1as5lm+PgVaxSyrUa+eCdrNbt1KLdrNLAEBr+NgsJNz9XdoVBgpIRNjkcGS/kTjtidMw+v7RuHzvy7HdBts12zVCSA/hnfnLcMKk5/DKzMU44bNb4Ef7fgS9OmpbgK1+7z3MPPNMLPvHM1j3U5/CsPPORedGGxXkMenJSCkSWx767GhQkdd3NQjvF9mLwGW36HKDeA7lbZ5DRyVrG0T1OXx6DrhkVOq104Hfloi1kVh0e2YhtAR53r6nyOSeM+8cHpkD1moB1a52o7oSAWd5gnfmQfYcqWUIoU5KGYK1dAHq52O+3ddlzB0RVN1Q31bGoGVWGJkF5s4IsqE/EKLblR50r6chhcAmh4SQZvDIf2bjoAlP4t0Fy3Dd0Tvh9P3/p6YggZQSH9zxO0z74sFY8eIUbHjOORhx/XUMEpBCKUNEvQjCUoPwCBsVRgdK0aE2K4yPSlPE8AjHoiOaSyj6ya0P1VICW5AglFEbG5qHpm8pN0jIKCUEaUEC6ZI3Fvfqc9h6A2Qv1GOZcA4tqGB+IRP2knNYGwrmWodk6xf+YlQKe0DBIlboFCK+VwSJOQQSH2fqy1wPeXOOtOcCgi+dYtfrc7DdN/WN59TsinBMGNcOHwUy56hcC6gNCcOmhkDlPLpW5wt1gmaCSR9Vn5IyUjlQEnGzw6w5NJnAYAlRw8OoCaKhz90P8sOMAmKFTQ4JIY1iTVcZl/z5NVzz+DRsM7w/rjpyR4wYVFuPlNWzZmHWGWfiw7//HevsuiuGnXce1tp4eEEeE0JI96LtSg/qBD+HCvwc8iPR/UqvGCggTtjkkBBSb+YsXoGTb3se/5q+AEfusgnO+sLH0Kezo2p7UkosuusuzL7oYshyGRue/RMM+OpXIUoMcpLikYC25SGQ3NEgOnc0LfQpNajoV9+0UJtPyTZI6Btv9qspN1Cxbo9oyS6Ir5HA1FNlzCyBvA0MpRR6SrmPftZCp5rGhqn2LFkItdLkxZoUNZYYCF02SodPKzFAunyetH6f8gRTXm/Wp9xKKysw5jPlJURcm++Yo9oyBE0nFFPLEBLzBT+fRqmAfylBMGaUI5j69jliHXNnBNHgb/aubpasz0ABSYVNDgkh9eLvU+fhe7e9gA9XrsFlX90eh+5Q2xv/1e+/j1ln/QQfPvkk1vnkJzHsgvOx1ogRBXlLiA2RCBDY+hAAiMoMonuObQ/V+z69CCrz2Bbx9u0RQ7nMvgQ55X3KDdTrpAxiXSQDAGaAwMSnd4FKWk+BvDsdVLUlYpr93MGEnPK1Yq4AU7AuyvPKp82XtsC2yWTIa/N7LOi9+hWkBDByz2fIS1FZsQspM/XdwQFTRvlZMHceUHdDUOZDJCKiHyDrfEJE9uzbICq+qzsjQP2sDf80fT1oEO2KQKqie4U9SF0ImxxesfcVmLFkBkbfPxpT5k5ptluEkDalXJa48m9v4uvX/RP91+6Fe0/evaYggZQSC+/+I6Z98WAse/ZZDD3zTGzym5sYJCCEENK9abNU/u5deuDu+ZL3aBUYKCDeqE0Oj33oWDY5JITkZuGyVfjWzc/ikodfw0HbboR7T94DWw5dr2p7q2fPwYzvnIBZY8ei90c+gs3/eDcGff1IlhqQhiBRySTQmhZaGhbGTQvjxoR6w0J740KfpoV6Q0JF31KSYPtDNNGcMGEzXd5sXpjdqDCZyh++wQ/nTisnSMsUyGpymKeBoVnWEN53YjYmzGp06NM8USHXAit3k8UmknNNlLaGSiRmiHzyab5YbSnXmY0NbfdUfUNW0xe6viYvQnmRrZ82t1Btqb44GhWWoDc51GwJZwNC3ZYuIw0ZKRA3OUTSRjiXqa99JkGTw+ioM+rv/1qOVoGlByQXbHJICKmWF99diBMnTcacJStw7iFb4+u7bgpRZRdiKSUW33sv3j//AshVqzB07BgMPOooBghIw4kX2PbtDuPzUmqZQcVGPJZVauDbiyA5l72MwG5XWPVDqik3UOXMcgMV31ICV+8ClURfgpTrxFhi9ZlDN3HTfcsun2eV2yJEeeUW/8KhIoIYWbaEcU+Vt+ka8lLk6x/gsiWFntrvVQqQ5ochb/YsqOjrZQia2z5zC8XdlP4D1i0UkaEb+OxVrqDasmylGN43SxFUH6Xxe4Xkg4ECkhs2OSSE5EFKiVueeRvn3v8qNlivN+78zqew/YgBVdtbM3cuZp39Uyz961+x9g47YNgF56P3ZpsV6DEhhBBCiqZblx5IPVDcHWCggFQFmxwSQnz4cOUajP3DS7j3xZnYa6sN8MuvbI+B665VlS0pJRY/8CfMPvdclFeswJDTT8ego4+C6Kh+lwRCakFCJDIJXG/6s3Y0UG2o97MzBNKbFibl9bFqMg9kiq5rdwNVzpVJkNXk0GbLdS87U8C8lxD3umezpdOgrIAMH9MWaC2zeDPf3Jv34LifkV2gvXm33AMsb+193/C7GhuaPlWThWDzw5JVYN4zd0Pwamaoumc0VoxdTHnz79nk0DlnSlZAwpbHzgihnUYv21upv0ARMFBAqiZscjiy30ic+sSpGH3/aIzfezy23WDbZrtGCGkB3pi9BCdMmoxpc5fi1M9vhRM+swVKper+J7pm3jy8f845WPLIX9Bnu22x0YUXovfmmxfsMSH5MQMEZnAgJOwhEF0bZQambtpC3r8kIV+AIE1XGvPY5GopN0jbKjFtG0S1p4Bt3rS+BKllCLY/+L113XqZafc5+ho0hIxFeObi3neBbrlf7b3IbsaC3FpS4FFuYPVdXZDDWAi7ggvCTNO3zKH4by1DcNyzlSH42k0vV0gu6LXAglL9J8rpuu45Q2PuwEIk69gZIbQjm/JD031gMSepmT033hOTDpzEJoeEkIh7XngPB1/xNBYuW4VbvrULTtprVNVBgsUPPohpX/gilj7+BIb8+EcYeeutDBIQQgghpGWo7HpQKuRoFZhRQAqBTQ4JIQCwck0Xzr3/P7jlmXew88hBmPC1HTC0X5+qbK1ZsADv/+xcLHnoIfTZZhtsdOEF6D1qVMEeE1I9Uibf8qc1LLRlEai6qo66i4Apl1VqEJ7nbVroOk/LJnC/6TflEF/nKDcw39z7liVIx7g5Zi0r8Jyj6pKDjDk0K62WYVAlaVkANTU5TMsCMOYHPLIULL6klRu4Sgoi8UA+K9PBNUcRZQixq9JuV3El0vWaP/gZytHkUCgfjK3EQPMlrRxB9c+z0WEj6GrwfPWGgQJSGGxySEjP5t0Fy3DipMl46b1F+PZnNsep+22FXh3VBQsXP/xnvH/OOSgvWYINfvhDrH/csRC9+L8s0nqYAYKsPgRA9o4G6niWnO+CPy2goM/nWOyn9COwjbkW9HnKDfLKRWNw3E8ss3LHjgAAIABJREFU+t12tMV7xgLWO3jguxBOq3POUwPd4Hrp1GCAL1lBA9vCO8sXz8V9mi+2+dJKClL7D5jlA7Y5bHMrfiYCG7Z7ibkryfhp8yVcM+fXpwrGRfQDkwhAGL0LrCUGcJQxpMg6fUnpX1BvJNijgJBU2OSQkJ7Jo6/Oxg9/9yLKUmLiUZ/AfltX9zO/5oMPMPvcc7H4Tw+iz9ZbY9hNN6LPRz5SsLeEEEIIISQNBgpI4bDJISE9hzVdZVz6yOv49WNTsfVG/fDrIz+BTdavLotoyV/+glln/xRdixdjg+9/D+t/61sQnZ0Fe0xIcUiIRCZBVsPCUMavfMBXLiO7IKVxYdbOBqF+VpPCcNw3kyCpi8T9LJtpuxy43vLnbmDoYTOJn1yerIV2KjPIxHzj7iAra0CzB2RnCCA90yBXhkAwR2ZJQTickZ2QmnWQUgZgzU5QXU9kJ4hA3EjRN+ZzZRG4/crIDlAzC6w+Ck3XNnc8nl22ACQbHdYfPQOsO9C9noa0FHtuvCduOeAW9OnVh00OCemGzFmyAkde90/8+rGpOGLnTXDXCZ+qKkjQtXAh3jv1NMw4+bvoNWQINvv9nRh8wgkMEpC2IEzXjxpRQURHl4wPvVlVchGesJMplzxUfyKdDD1TJ9xhQH2O9N4D8ZGn3EDdBUHduUAafqj2suRkeHgECRJ9AVz3Uhf6io8yRVa9J4V3SUBVafytElDwdF77KHyztj3ltI9aZOiFX8YMHZe/iS+poivNcVVHnUPVcfgRjWf5G5y7/RXauBRJ27bnTcgJfbwiJyo9CCyyshQHDUzdipxw62ufW4qc+uwloR91Rvu9WcPRKjBQQOrKqIGjcNtBt2GbDbbBmCfHYPzk8SjLcrYiIaSleWbafBw0/im8OGMhLv3ydrjw8G3Qp7Mjt50lf/0rpn7xi1j84IMYfPLJ2Ox3d6DPVlvVwWNCisdcCuVpVmjKu2RMOW3c8Wbfpx+Bee27/aHLlkpWJkHD8A0S5NT37zXgKddGVPUlbJ11T0StAYpq9FMDBnXGN2Cg4fG8fuOGYVWu5Bh36acGZ4T1XqN/7XQnWHpA6s7APgNx7b7X4rx/nodrX7oW0xdNx/l7nM8mh4S0IeWyxDVPTMMlD/8XI9dfF7d8cxdsteF6ue10LVqE2RdciEX33IPeW22FTSZORJ+PfrQOHhNSX6KdCIK/YPMHCOJ0VTWLIKsBoTWDQNHJ2tlA1VHfzmcFCbICB0WVG6h2feQSa3KPIEFq4KLqIIHwlLPPVdWqpkEBiYYGCQS8nksKz3IBQ8fqX9qceYIEFj8ygwQO313PJ0VgJkMOQk9mUd11BQk0uVT95DO5FviRf6FczgBBuk/2AIEpV2+k1H//dwcYKCANobOjEz/d7acYNWAUmxwS0qYsWrYaP7rzBfzl1Tk4aNthuPhL26Jv7/z/G1n6+OOYddZPsGb+fAw+8QQM/s53INZaqw4eE1JvRCJA4BsciM91ed/dCVxz5NUpYuvDeBzxONL0oZz7BR58AgRp2yA6582TaVBzhkGOuTL02zFbIXQ/b0mFtggOCT+KGoIJVrsZOmn62vOp/qk60Be8PrsxuOwmFu6wy1ltaXrxVbiFYtqcSX3jEazBi5S+AkrQoJbtFCvj6u8GfXeERtDdehQwUEAaBpscEtK+vDRjEU6Y9BxmL16Bcw7eGkfvtimEmU6YQdfixZh90cVY9Ic/oPeWW2Ljq67C2h/fuk4eE9IY8mx1GJ/7Zhr4BQcyZRJv6LP1fYMEPmUGjcgi8F24u5oXuvoS+JdLOOavYkEvatR3UqStHAv1LP1qAwghqQv08NzHH88FutWuK4Bgs6vcUhNQcgUmhNtH18LdL1NB2ULRZksZz2y4mNDXF/E2H2VJCRaIHPqO+Rq7QWL3o+5hDyHEW0KIl4QQLwghnrXcF0KI8UKIN4UQU4QQO9bbJ9Jc2OSQkPZBSolJ/3wbX/r131EuS/zu27vhmE+NzB0kWPrkk5j2xYOx6I9/xPrf/jZG3vV7BgkIIYQQ0i2QyG4463u0Co3KKNhLSjnPce8AAFsGxy4Afh38S7oxYZPDHzz2A4x5cgymLpyKk3c4GSXRvVJ2CGlnlq1agzPufhl3P/8ePvORDXDZV7fHwHXzlQh0LV2KORdfjIV3/h5rjdoCI6+YgLW32aZOHhPSWKTMt9WhdTwjI8A6VkN5gsywYU//z84OCO0VWW6g3s+bSeDbvNArk6DWkgOP+epVRF3tW/p8kwT/FjGXT/p9FWSm0hslAnlKFKq2q6iob8+9SgfMkgZnhoD+xl3z3TGfFAIi/EZNmSMt28A1rpYShD8MiSyElFKE2K5fdoFwPn19aKUdC4qgFUoPDgFws5RSAnhGCDFACDFMSjmr2Y6R+sImh4S0Lm/OWYITbpmMN+cuxY/2/QhO2msUSjm3Flr69NOYdeZZWDN7Ntb/v29h8Mkno9S7d508JqQ5pPcVqC44oJ7XWmYAGItxJO3W2osgj7wZJMgbTKglSOAqO0jFK0hgGW9AEMBZ4tDEN5L6Qlbqg/XAY7HsJWOxlzWf90I9beGvqFRVOpAWRMgYd86HSrAgvJFZipBjbqk8g9div8aggRQWBeJNIwIFEsCfhRASwDVSyonG/eEA3lWuZwRjWqBACHE8gOMBYJNNNqmft6ShhE0Ot+i/BS597lJ846FvYPze49nkkJAmcu+LMzHmrilYu7MDvz1uF+yx5eBc+l1LP8ScSy7BwjvuwFqbbYaRt07C2ttvXydvCSGEtCwtlEbtBReUFer1OXTjz1cifdvYdqQRgYLdpZQzhRBDADwihPivlPIJ5b7tE018GwUBhokAsNNOO3Xjb7OehxACR299NDbrvxlOfeJUHPHAEbh8r8vZ5JCQBrNyTRfOf+BV3PyPt7HTpgNxxdd2xIb9++Sy8eEzz2DWuDOwetYsDDruOGzwve+i1CefDULaBQlh2Wmg9iwC9byIMoM0O0VnE6SVD/jatcnXI5Og9gaGNeDIAHA2Mgxl2vUv4Dxv343xRpD55j/jrXzWW/XMTAdFJW/pQKhS9eebmakggueS9udN88kYd8vWP7ugEXS3XQ/q/jRSypnBv3MA3A1gZ0NkBoARyvXGAGbW2y/SeoRNDnt39GaTQ0IazIwPluErV/8DN//jbfzfnpvhtuN3zRUkKH/4Id7/2c/wzjeOhejsxKaTJmHoaacySEC6NeEbpEqfgvBQmlJBOWTOo0o9qRyu+TUZr3FEh2rTJh/KAYjumedqwy4f+boGCWRsR53TZ7yy/LCMO4IAVW2JSPTKDtuKT/0yCEVGGfeR0Ww7zquV8fILjm8tz2eCckjl8Bn30xXRUe1csuQjK6LDabsUH3nskHzUNVAghFhXCLFeeA5gPwAvG2L3Ajg62P1gVwCL2J+g5xI2Odxmg20w5skxGD95PMqynK1ICKmav/13Dg4a/xSmzf0QV3/9EzjjoI+hs8P/fw8f/utfmHbIofjgttsx6JhjsNkf78Y6O+5QR48JIYQQ0nYZJu3mbx7yBoNTjlah3qUHQwHcHWyj1QvArVLKh4QQ3wEAKeXVAP4E4EAAbwJYBuDYOvtEWhw2OSSkMXSVJX71yOu44m9v4mPD+uGqI3fEyMHreuuXly3DnF/+Ch/ccgs6N9kEm/72Zqyz00519JiQ1sN/1wOPcyNBtp6lBo1uWlitvLSM1b3cwGNcf4UM0u4I6On0RZch5En/V0xl6nr4lXfcr0zEb2eE2psvBhdS2uWB3CUJ9UKCux7kQko5DcB2lvGrlXMJ4KR6+kHaDzY5JKS+zF2yEt+//Xn8fep8jP7kCPz04K3Rp7PDW3/Zs89i5rgzsPqddzDwqKMw5AenoLQOg3mkhxG+AcoZHEjcqyG4UG0fglqCA2l6RQcIEnMXFSSoF1FkIzs4kas3gTnenahiEW7drjDvgtxlp9pnqHGBrMkopnwCELkW65Zx9TFM3H0HlO/frJ0Rah5XfzcovQeqCBoQf1phe0RCrIRNDkf2H4nTnjiNTQ4JKYh/TV+Ak2+djMUrVuOS/90WX95pRLZSQHn5csy97DIsuPm36Bw+HJvc/Busu7PZeoYQQgghpGfRSmUDRdC9WjOSbsmnN/40mxwSUgBSSlzz+FQcce0zWLd3L9x94u65ggTLJj+P6YcehgW/uRkDjzgCm9/zRwYJSI8mTDX1rTktqtFh3oaF6txAbdkEriaH0piz8GwCR3NBVzPEzO5l9WhgaMkmqBs+GQhNJHJDyPg1tvrRZXx5ivIh9iOeO7VRoKIb4ThP9d+YI1PfJWPaNHVtzyXi55LCb9zLLtyfaRGNDv3HBZxNClUdW8PDOiKB3L/Le3qPAkIKIWxy+IPHfoAxT47B1IVTcfIOJ6MkGOsixIdFy1fjx3e+iEf+MxsHbrMhLv7StlivT6eXbnnFCsy9fDwW3HQTOocNwyY33Yh1d921zh4T0h6Yf9illhvUocQgVc5r3O6fr04tpQYJfcd47nIDg7r0JfAkd9lBgTjLGeqFqNM8qt3gPPz4Ep9d+LHm9EOKKksEXDKG7y45rznUR7PoqsN5fMwaT9g1pnDNnbadolb6kGErT0mCtHzBNR0uF6qCgQLSNrDJISHV8fJ7i3DipMmYuXA5fvKFj+HY3UdCCNf//nWWv/ACZo4dh1XTp2PA6K9iyI9PRUdf/4aHhBBCCCE9gVbKBigCBgpIW8Emh4T4I6XE7f9+F2ff+wrWX3ct3PHt3fCJTQd66ZZXrsS8CRMw/4Yb0WvoUIy4/jr03X33OntMSHuhppqG1CuLIM1W3iyCyj273WqyAtSxvJkH0ZjFlnojVyaBQ9aaNeCZlZDucHLuqhsntlsjwyKzCBRb2tvnIm1ZshOK0HfKeMp5zaGaNLIXqvJRN6EP57Sb0AeszQ61uQrMLrDtaqA1PUzcLR6J1iobKAIGCkjbwSaHhGSzbNUanPnHl/GHye9hzy0H4/LRO2DQumt56S5/6SXMHDMWq6ZOxYAv/y+GnH46Ovr2rbPHhLQniUBBSllAo4MD9vtJu746pqxvICL3zgbGTe8gQZ4AgemAibM43CXjaavWhUSrBgzyUGtAoAh9wJqi77JVcxlCDaUAtpVxNJylbz6Hcu61jaGpYzfrEYwQwZA0VZK+ZMxrG7d92Vw7JRB/WLFB2hazyeGfpv2p2S4R0hJMnbsUh135d9z9/Hs45XNb4qZjd/YKEpRXrcKcX12Gt0YfgfLSpRhx7bUYdu65DBIQQgghhGSgNZet4WgVmFFA2pqwyeEpfzsFpz95OqYumoqTtj+JTQ5Jj+X+KTNx+u+noHdnB24+bmfsueUGXnrLX34Fs8aOxco33kD/ww/H0DGno6Nfvzp7S0h7E6aaut76m9e+WQRA/Mbft5Qg7X6RDQuL0MkqM7DpOW1bPwf1wm+umhsYurIZUqi52WCTXpJW9xZfWr9WWfOEqlU1KXS9bXfJZmUFOHTM88LLEELMDAT1tqsUwCMDwjaNSz93o0PjOWzlCFk6ifuWuWy+6DoNWHzLxvUoEELcAOALAOZIKT8ejA0CcAeAkQDeAvAVKeUHtczD1RRpewb2GYjr9rsOh295OCZOmYgfP/5jLFu9rNluEdJQVq0p46f3voKTb30eW224Hh743h5eQQK5ahXmjh+Pt776VXQtWoQR11yNjS44n0ECQjypZntD2/aFka3wsMjZts9y3Ve3LlRtp+lU7sU6+jaEWX6k60RyymeXtuuAuQWiXSdZ7hDJytim6YOu47ENotV59TxlcVBN2YEUsazmk6dOi1CVO5aPPUsu89Fd3zJpXzaHXGIe1V+XTyKnnDLu9Nf49pC2eWzPYTtsfkAflz46liPxHJq+x5aKFt9tPknLYdPpRtwEYH9jbAyAR6WUWwJ4NLiuCWYUkG6B2eRwxpIZbHJIegzvLVyOkyZNxgvvLsQ399gMYw74H3R2ZMeBV7z6KmaOGYuVr72G/occgqHjxqKjf/8GeExIayGEuATAFwGsAjAVwLFSyoXN9YoQQki7ING4jAIp5RNCiJHG8CEAPhuc/wbAYwBOr2UeBgpIt4FNDklP5LHX5uCUO17Ami6JXx+5Iw7YZlimjly9GvOumYh5V1+NjoEDsPFVV2G9vfdqgLeEtCyPABgrpVwjhLgYwFj4/IElPXY9MN7+R+OW15k22WpLDMw5am086DOfT9PChN205oTKHIWUG6Td821smPF2X8toSKGqsoNqShoKlPUzGPybZVeRC78MaY0Enan8LrkUtPlUfw3bLjmrv6qucp7wyUdO/ZZNK4cw5VR1i7+azyl+mC7k2jUhxUdX+UDlnlDu2UsSbLr+pQeNocBAwWAhxLPK9UQp5cQMnaFSylkAIKWcJYQYUqsTLD0g3Q42OSQ9ga6yxC///BqOvenf2LBfH9z33T28ggQr/vtfTP/KVzHviivQ74ADsMV99zFIQHo8Uso/SynXBJfPANjYSw9ILS9IlA5YmlU5ZROp/flKDMpwlDco6fzxYSkRkHYfVV3Tr0TJAOI/1m1zpO1sYM4R33TLZZYb2Oazpvb7BhDifGbNjxQ5ITMWs74LjaIX+Fk0Om3bd748cmmyltT4kCLKEHzl0soNrKn4NjnlqKZcIOGLclRTFpB4Vpsd7Z69JEH9HHpA6cE8KeVOypEVJKgLzCgg3RI2OSTdmXlLV+L7tz+Pp9+cjy9/YmOce+jH0aezI1VHrl6N+dddh7lX/Rod/fph4ysmYL3Pfa5BHhPSVhyHSkMoK0KI4wEcDwC9h65nXdCrpDU6NOWTb/rt93wzB3x0a93u0Gon5V5aE8GsOdRFefJeiq53FkFGgKCavgRpZMkVEQxodEDBnF6ob6GN19ZpspZ7kYlQ3SKblZ2Q+bY/tKvIWW0Ecr7ZBV5v9aOHcD9vwo7ps2IjMez49s7MVLD5YrORNgfcOH0BnJkGCV3L906jMwrC5rZNZLYQYliQTTAMwJxaDTJQQLotYZPDc585FxOnTMT0RdNx3u7nYZ3OdZrtGiFV8+xbC3DSrZOxcNlq/PxL2+IrnxyRqbPi9dcxa+w4rHjlFfQ78EAMPetM9Bo4sAHeEtI6CCH+AsDWuOYMKeU9gcwZANYAmOSyE7zZmQgA/bYa2uRlWOtRtw+kzV4HkgqFlzaEtJtdUlfq9n2WE1fT1AZxL4BjAFwU/HtPrQYZKCDdms6OTpzzqXOwxYAt8Mvnfskmh6RtkVLiuien46KH/osRA9fGjSfujI9tlL4zgVyzBvOvvwHzrrgCpfXWw/DLL0e/z+/XII8JaS2klKkpNEKIY1DZbmofKf02uAvfIKX1HsjcBjEtG6HBWQRZelm60iFn3kzrRWDXTfHJO1ughmyCjEwCV38EU76mkoMiyhXqRUFv+PPYtb4BV78XUrITvPsj5MgcyJOdkJkd4bJredPvu42i6ZatL4F2PytDoMrsAqu/SMol/IGeXRDfl1a9pG73QghxGyqNCwcLIWYAOBuVAMHvhBDfBPAOgC/XOg8DBaTbI4TAMVsfg836b8Ymh6QtWbxiNU6980U8/Mps7L/1hvj5l7dFvz6dqTor33wTM8eOw4qXXsJ6+++PDX9yFnoNGtQgjwlpL4QQ+6PSvPAzUspc++uGvQdCfMsHbPdNmXYLDiTuZ9pK03WXPuQNAngHCGykrDBSw0k1LfyrvNcNyAosZAYAqvx8Irt5Fu7Q5VPLC2xlAb4L/RS7uUsa1GGHT6FAZK/AoIFUfMsKGiSez7hXsSeim8L4gWx06QFgb1JbD6SURzhu7VPkPCzYJj0GNjkk7cgrMxfhixOewqOvzsGZB30Uv/76jqlBAtnVhfnXXYfph38Jq999F8N/9UtsfNmvGCQgJJ0rAKwH4BEhxAtCiKub7RAhhDSLdisZMYMEzUDK7Oa2vkerwIwC0qNgk0PSTtzx73dw1j2vYNA6a+H243fFTiPTF/srp03DrLHjsPzFF7Hevp/DhmefjV6DBzfIW0LaFynlqGp1y8hoZpi7gaFu26Vn069XFkHCVlJc30Ug05b7XmXQr9QgoV9LuYF53/qQ/n5ps2StYQpcGLRKrXZ6SYHM98xZ5Qkp2QfhdD66iTf81WQO2OauxZal3ECz63nPtKV+/9qyC3LZUm5nZhek/7j6Nz1M3HOXJbjmItkwUEB6HGxySFqd5au6cNY9L+P3z83AHqMG47LR22Nw395OednVhQW/uRlzL7sMpbXXxka/+AX6HXQghMjxhxghJDfhGyTfnQtsMmnlBaa+PehgXvuXJ5j6VQcHLEJpwQGrTJZ8ZnAhzXZSPFeQIG8ZQVpfgsygQQ75Jr55zFyEW+R9egbUw1Ye+Tz9A3zkEyUN6n0fWw75RIDBc3FutaXKA9XZ8pA3vwT2UgLHfQNbzC+564Hyc9igUEGTmxkWDgMFpEeiNjm89NlL2eSQtAzT5i7FiZMm47XZS/C9fbbE9/fZEh0l9/94Vk6fjlnjzsDy559H3332wbCfno1eG2zQQI8JIYQQ0gxaJoOkybTG59BaZQNFwEAB6bHYmhyO32s8ttlgm2a7Rnoof3ppFk77/RR0dgjc+I1P4rNbDXHKynIZH/z2t5jzy19B9O6NjX5+Mfp98YvMIiCkwUhZTemBcj+jvCBLPy0LwGYjtYGgQ1+m3U/NaEiYSt3RwKqX4W/eTINayg2yfLPJp/qSd1GRdzHUEosnB8LyClkhrWlg0pblXtrbeqs/SXmfMgSnPGKZ1GexvKHPI299Ls/MAw0juyASKyi7wLil+Z645zNfiqzNpq00gWTDwmzS49GaHD58LB6c/mCzXSI9jFVryjjnvldw4qTJ2HJoXzzwvT1TgwSr3n4bbx99NGZfeBHW3W03bH7ffeh/8MEMEhDScOLtEcPDbEolJRJHGSI6AOTWV+VN/RCXDZu8TV+qh3lfvQndZnydvBfri/hQ5FUfU+075tcw7odfL+d92yLeo3zCJS9kzrecNn9z6Oeerx7U+r8gSwzJFUux3rNd5/EpbX6bLR9/3d/yqf465VU/1G9nU96UzZIx5C0/YpqMNA7bfAmbLnnTVt75BCor2jSbeb8XqkT9XVfL0Sowo4AQ6E0OT3viNLy58E02OSQNYebC5Tjp1sl4/p2FOHb3kRh7wEexVi/7950sl/HBpFsx59JLITo7MezCC9H/0EMYICCEEEJIz6XZQbLABZYeENJNYZND0mgef30uTrn9eaxaU8aVX9sRB207zCm76t13MWvcGVj2739j3U/viWHnnovOoUMb6C0hxEay9EC/b9tXO295galTq77tGjBesKek+Lttpt+vDLo/K585MksREjIZz5G33MCmZ8h7NTCsdUHRDgsSAT3rI3C5pswHi03vEgWbvM2+oa/pqB+79JB3+Az4pe9nlhdY9NVvDdccqTIqUv8oReJE99G85SKtrCCrjMAmkzVnC8QR2hIGCghRYJND0gi6yhLjH30D4//6Bj4yZD1c9fUdscUGfa2yslzGB7ffjjm/uBSiVMKw889D/8MPZxYBIS2ABNBVNhbtGT0HgPSdB1x6RQQH1DHr2rUBwQGbjm2utF0LqupFYJOxlRuYQzWUA/jO4Re8yDlvu2BulVjFwjt7jqS9cOqadFSZtIVzymI9M8ghdPlUm/UOGkD/efAKGmQFWJD8Utqmz5KRlu+Jhv+VJGH/3dbGMFBAiAGbHJJ6Mn/pSpxyxwt48o15OHzH4Tj/0G2w9lodVtlVM97DrDPPxLJnnsG6u++OYeedi85h7qwDQgghhJCWpV4L6RZZoNsyyNoZFmAT4oBNDknRPPf2Ahw0/in8c/oCXHT4Nrj0y9tZgwRSSnxw+x2YfvDBWDFlCjb82TkYcd21DBIQ0mpIvTFhGcmmVGZzQnuDwuzmVnmbHDoPJEsMfBsVxs0P48OUiQfUTmJ2HXMuazOvrGyCRMc1wFpukDObIOGrSyer7KBFSTQ/tDxLu2B13XZtfltkPa6Pjq1JXg4d48dEvy8c16hNRxZkV/3xjX7EhCFjHM4Giik6Nj0fu5pMqXKQfDCjgJAURg0chVsPuhU/+NsPcNoTp2Hqwqk4cfsT2eSQ5EJKiRuefgsX/ulVbDRgbfzhhE/h48P7W2VXz5yJWWeehQ///ness9uu2Oi889A5fHiDPSaE+JJVEuC1RWCBtrJ6D1hlqigxsNvJ1qmmjMDHX2eicb3KDbICBB46XiUGHv56zV0E4dRZZQGqjJeOLQc+qaOKVuWLj10bPjqGjDm3UwexXN6U/Wp1VH8ivaLsKkPColMXf415tfkbiIT7d3u7wkABIRkM6jMoanJ4zZRrMG3RNDY5JN4sWbEap/1+Ch58+X3s97GhuOTL26H/2p0JOSklFt11F2b/P3vnHSZFkf7xb+1smk2zaXbJsIAgCmLA7Bl/Zw6ndyrgeaKeOZzhDAQDQdS7MwBGzCJgziiGM3tmgiiYCJKWDcDmODv1+2N3Z2d6qrur00zP7Pt5nnmYna566+2eQNdb7/ut2+8A5xx9br0F+WeeSVoEBEEQBEEQrofRrgcE0RshkUPCDGvK63DpwmXYuKMJU48fhb//oUw48W/ftg3lN92Mxk8/RdZ++6Hv7NuQPmBAHDwmCMIIHPqr/rLZAzBpK2rlX3Is12URSPpki2ghIJdJILRlYkVf5vq7sWRBuUruAoRZAxZX+4V2lZhYlReNJVxRF/ho6Dy67Lsmu6D7ZcX1VN7+mM0CUPZTE2B02Uc3IaFAAUFIQiKHhBFe+HYTpr36A3zeNCy+4ADsV1YY1YZzjtqXX0HFHXeABwIonTYNBRMngKVQaQtBJAbMdGDAri0NAcnggLSfMrZMputL+CXXRj7QIKNFIG9Lp9xAYjxD6NhKFD0EEeKJsHJW2t1Yx5iNZQhS19TGEoxQc5OT+Kjxul4c5ML4AAAgAElEQVS3GjQQ9oH4rYj6hKuMp1mWoGLfTODASF+7SbZdD+hulCAMQiKHhBYt7R24/sWVuO7F77HP4AIsufIPwiBBe0UFNl18McqnTkXGyBEY+tqrKPzrWRQkIAiCIAiCSECkBGUlHm6BMgoIwgQkckiI2FDdiEsWLsOa8jpcceRwXPV/I+BJUa5ecdS9/jq23TYbvK0NpVOmoIACBASRsMiu+psVOTQlTihqpNJWNiMi5lkEqm0lljhVswR03gPJfoAFAUGpLARJW7L244EoTd6sbyZX/q2IDkb1k/RLOF6YfbWMANWMBC3fnMougPitMpX1oEJUWULUEw0/9M2r9iWMQYECgjBJt8jhjC9nkMghgaU/lOO6F76Hx8PwxLn74oiRJVFt2isrse2WW9Hw4Yfw7r03+s2+DelDhsTeWYIgbEOmpKCznXY/tdelygpUGsuWF4gDDZKlCW4JDqi9bvY8VPpJlRuo9bcSEHDRKqOdSO2AoNIvvHnnHxB/zkyUIaiOoURm4qw1ZlhfTf0ClTFUJ/5GxlBeagsBgajSAbUxlP0E19jO8oRY0L1FbTJBgQKCsECaJw0zDpqB4fnDSeSwl9LeEcSdb/+ERz9bj7ED83H/xL0woCAyWMQ5R92bb2LbrNvAW1pQcsMNKPzb2WAeT5y8JgjCDjiXyxTofN1GvQGVhpYCA4D+irvRse0MDqi1M5AFIH0+skEC2bENBQTkmtmuT6DUBzCA1IQakNccEPmj0lcqCKDmo1p2gaK/Ve2C0GGrWQCy7UQTf52+mj5aCAhIZSaooPZ9lRFFFLgSE5Jt1wPKdSUIi3SLHN531H3YWL8RE5dMxKqqVfF2i4gB22pbMGH+l3j0s/U458DBeP6iA6KCBIHqamy+4gpsve56ZAwZgrJXXkHRuZMoSEAQhBTJtkLlOig/uRP6nDlKIgtP2gldh8SCAgUEYRPdIofpnnQSOewFfPZrNU6Y+ynWlNdh3oS9MP2U0chI7Zn8c85R99ZbWHfiSWj85FOUXHcdBi9aiIyhZXH0miAIu+lMNw1/GBOr4sqHmqiVoqGazWh/uv1U2OQs+oHofkInoWJT2VarnbAtC3totQt7PeLvyHPpGV+wOim0F90X6Jzc2J5NIDthUvFJaM9tkzDJ2IPsKarZFPaXS5oRftxE/VU+Wuo+Kuyq+igaX/G66tgm20W9puWnSjutsSNsKPrLthM+un1UPNTaq47lIKLfXzMPt+BY6QFjbCCApwH0ARAEMJ9zPkfR5nAArwFY3/XSy5zzGU75RBBOQyKHyU8wyDHvg99w739/wS4lOXjgrH0wvCQnok1g+3Zsmz4D9e++i8w99kC/22cjY9iwOHlMEISTWCkpELaXLF3oeV3WrrH+snoHRv01XWKg9rrF81Kzo7ry6VSAIIYlB0IbRkoPGOSDEqK2sv3V9Aq6/zRZ6qBahhBqYKK/lg9apQha4wteN1OSENHexDiq/dVQe9ssljGoDidZohALki0DzEmNggCAaznnyxhjuQC+Y4y9xzlfrWj3Kef8RAf9IIiYQiKHycuOxjZc9dwKfPJLFU7dqz9uO3U0stIjf0brlr6DbdOnI9jQAP8116DovHPBUkkOhiAIgnAxTk1wnFodTTS7RNLD4a6tDe3AsbtXznk5gPKu5/WMsTUA+gNQBgoIIukgkcPkY9nGnbhs4TJsb2jD7FPHYMJ+A8HCwtWBnTtRMXMm6t56G5m7745+d9yOjF12iaPHBEHEApldCkTt9DqIt0o0YtfASrvlrACVtqqTLotZBKHXldkc1vp345psggSbdEiL/hntL8p2EKz2q/eH+DMrai/KIlBZhVdd3ReNb6S/yVV/vR0QNIUVw9srX9fKEFCOp4asv1D/Ohj9NrgphT9RiUk+NGNsCIC9AHwlOHwgY2wlY+xtxtjuGjYuZIx9yxj7tqqqyiFPCcI+ukUO5x05D7/X/U4ihwkK5xxPfL4eZz78BVI9DC9dchAm7j8oIkhQ9957WHfiSah77334r/oHhjy7mIIEBNEL4GC6GgOh2vyohp0PdR0DUe2qitaBhN5ARO2r0o/ul0W2JdsL20YgKDbWaq/6urjg2I5SA1UtAgN+CMcTXg+t18UF1YYDGG5A8JZrva5aSy58c6JtGKrT1xxP8JrG64Y0FjT8MKtjoGqD6bfVba98TftnR05vQNA3ZMOm9lo6B06h8jNv+OEWHA8UMMZyALwE4CrOeZ3i8DIAgznnYwHMA/Cqmh3O+XzO+TjO+Ti/3++cwwRhM4cNPAzPHE8ih4lIfUs7Ll+0HNPfWI3DRpTgzcv/gDEDfKHjgZ07seXaf2LLFVcitbQEZS++gOKLLwZLS4uj1wRBEARB9ArcNKvs7WgGfo093IKjhbOMsTR0BgkWcs5fVh4PDxxwzt9ijD3AGCvmnFc76RdBxJpdCnYhkcME46dtdbj0mWX4fUcTbjxuV1x06NCILIL6Dz5A+c23oKOmBsVXXI7iCy+kAAFB9Da6bgyVrwmbatz8SQsShg6IXzeyqu6cOGE3BttrTXhsOF81O5bLDHTb22Sf6ESyDAHoaSZTXiBsGz6MnaUIZu2I2os+LoJLFLIl2V61rEDndUN2HPI91Ef8MmEAJ3c9YAAeA7CGc363Sps+ACo455wxth86Mxy2O+UTQcQTEjlMHF76bjOmvroKuZlpWPT3/bH/0KLQsY7aWlTMno3a115Hxq67YtAj85E5alQcvSUIIq4oJycuCwjoj2FP+07smkQbv4a26BDoTe6MXBObywRM+RsHNCfnIn9VXlfVG9DCqC1Be93gAhR9nAgahNkyPIE345PAltHJutOTeLVLqGUnLl8PF34nreBkRsHBAM4GsIoxtqLrtSkABgEA5/whAH8BcAljLACgGcB4zkl6gkheSOTQ3bS0d2D6Gz9i8debcMDQQsydsBdKcjNDx+s//BDbbr4FgR07UHzppSi++CKw9PQ4ekwQBEEQBEG4ATeVDdiBk7sefAadgBHn/D4A9znlA0G4kW6RwyF5Q3D9J9dj4pKJmHPEHIzxj4m3a72a37c34tKFy/Dj1jpcdsQwXP1/I5Dq6SwN6airQ8Xtd6D2lVeQMWIEBjz0ILy7q2qvEgTRi4ja9cDUqr7BzAHAVImDWj9z2QOAWI1Op4vBlX8z18DwbgYmbGn3Mfi6xjhWdhFw0pZaur+dttRX9yWWqi1mCmhmBKidu13ZBWZs2VUiYKaPkbmxnbag/fFLril7fKACaYKIEyRy6B7e+XEbTpz3GTbvbMbjk8bhumN2DQUJGj79FOtOOhm1r7+OoosvwpAXX6AgAUEQIWR2JujZ+UD8EO9w0D2AyiM0vuROBWH9jO5u0ImKhLhWHzW/VeXSo6+prq3QcbEtAKqC+Zoy4yq2dKXJtcZRw87AhpsJ+9gYQXh5VLepCBtLxZbaW2u4j+KrIHNMc3w1JGxp+hbeV+1rrPLzZLqPqJ+aLfWfRu3z0Xno/Mw4gtpvudGHW3BUzJAgCG2UIofratfhkrGXkMhhjGjvCOLf7/yM+Z+swx4DfLh/4t4YWNipGdFRX4+KO+9E7YsvIX34MAy5bx68YyjrgyAIgiAIgoiEA1R6QBCEvRRmFuKRox/BzC9n4qGVD2FtzVrcdsht8KZ64+1aUlNR14LLFy3DNxt24uwDBmPaiaOQkeoBADR8/jnKp92EQEUFii64AMWXX4aUjIw4e0wQhNsQ3hiaEeILN6jaV22500QfzX46N7pmV7nNlBaYtAlorMabtKfZ1+ZrYsoHl2GnGGG3PUBNlFAtn727swEfw00I+hnakUDnmGb6vxrKj4yGvSiban0N2NQtEZCoChH1MaqDqmuTsAUKFBCEC0j3pJPIYQz5/Ldq/OPZ5Whq68Cc8XvilD37AwA6GhpR+a9/oeb555E+dCiGLF4E79ixcfaWIAjXwiFMm9dsr3XY1MReYhVLc1xzY+oet3PnAh17gIU0fSvXzkppgJkgh1PEehVUIyBganIf6qsyS9WYxEtpEaj4Y1gvwIovaojeOtlghFpfM0EAJwIIEmhdppgHEQT/HyQ6lN9MEC6hW+Rw3pHz8Hvd75i4ZCJWVa2Kt1tJRTDIcd8Hv+Lsx75CflY6Xrvs4FCQoPGLL7D+5JNR88ILKDz/PJS9/BIFCQiCIAiCIAgpkk2jgAIFBOEySOTQGXY2tuG8p77Bf979BSeN7YfXLjsYu5TmItjYiPLp07Hx3PPA0tMxeOFClF53HVIyM/WNEgTR64m6wdN4aAkdhrIC1PpDvX+PM+p91VW/9PrpHNdQIZO6CRaNF3FcXYVMU8/Ogl1tkUMdu9A7pq2q5pSAoWNZCloJKVqLq+ECd7baVftAyNnVFDrU8NlUX8FXUWTPkvihhF1d0UCtY8y6XcNCijI+6flDSEGlBwThQkjk0F5WbKrBZQuXoaq+FbP+NBpn7T8IjDE0fvU1yqdORfuWLSicNAn+q/5BAQKCIIyhTB+WuRs1W0YgNdnTGd/qRNSKBoPu+CYn0DK2dezLnbvZY/qfCd3zi9cqY7frTgYaTJQhaGoWKA+oaReo2O7uom5bu790OYOyv+hjIltGoIVGOYCUbb3+Gsc1SxUs/FS5ds7vomwAO6BAAUG4FBI5tA7nHE9/8TtmLVmNktxMvHjJgdhjQD6CTU2ouOtu7Fy4EGmDB2HwMwuQtc8+8XaXIAiCIAiCSEiYXKA4gaBAAUG4mG6Rw2G+Ybj7u7uxpWEL5h4xF6XZpfF2zfU0tAYw+eVVeGPlVhy1awnuOmMs8rPS0fTNN9g6ZSraN21Cwd/ORsnVVyPFS8EXgiDMILgxlFhRspp1ILWe5mDmQKiJg2PYkkGgM4ajWQQy43fhVLmBru0YoLvyD+hnLWhkHUgJAKqJHIaPLRhfdxcBnf4iG0b7G93lQDiGGmYzAST6ax6H9sdaVxhRp3/IjkQbQhsKFBCEy2GMYdLoSSjzleH6T67HhCUTMPfIuRhdPDrerrmWXyrqcfEz32FDdSOuP3YkLj50GNDagm2zZ2PngmeQNmAABj39FLL32y/erhK9kLbmAGqrmlFb1YwBuxYgMzst3i4RVrC59KAHC3m5htrENyDQjS2p93Zde6fLHGBjIMQNSJQnmNou0c4xtEoRlGNojGOorEBgx1KKv6iNmeCEHiYCCBFjabWJYRAgLl+fRPnOSkKBAoJIELpFDq/44ApMWjoJMw+eiePKjou3W67jleWbMeXlH5CdkYqFfz8ABw4rQtOyZSifPAVtv/+OgrPOQsm11yAlKyverhJJTEtjO2orm1Fb3dT5b1Vz179NaK5vD7U75ao9MWDXwjh6SliCCwIDdgQBjNiyYQJtWVvA4HgxyRYwYkd6PJk2vShAYDcSE3VL+gCiA04FDUR2BLYMZy0o7ZjQH1AdRw+JAIDWx19GlwCSbWS++jHPKBD9f5DgUKCAIBIIEjlUp6W9AzPeXI1FX23EfmWFuG/CXihOByruuBM7nnoKaf36YdCTTyL7gP3j7SqRBHDO0Vzf3pUZEB4MaEJtVTNamwIR7XMKMuAr8aJsrB8+v7fzUeJFfikFrIgkI8lulAmX0luDKQQRQyhQQBAJBokcRrNpRxMuWfgdfthSh4sPG4Z/Hj0C7au+x/obJ6Ntwwbkjz8TJf+8Dp6c7Hi7SiQQPMjRWNvWGQgIywjoLhtob+kItWUMyC3KhM/vxS7jSuEr6QoG+LOQV5yJ1HRPHM+EcJSoCUuMswUA6+UDRseUDAbYunpuZ/aAoXFl2sThetg1np1o7WAASb0CSVuypQih5nZlF6iMKZ3ub5ctvTIHC5kGqmNqYTELQEaXwChUemAdChQQRAJCIoc9vLe6Atc+vwIA8OjfxuHIYfmovudubH/8CaT2KcWgxx9D9kEHxdlLwq0EgxwNO1pQW90clRVQV9WMQHsw1DbFw5BX3BkA6Dc8vysYkAWf34vcokx4Uimzp3dipvTASDv5O2dbgwEGx5aeWNg48bb/Wku2A+wNDhgd207ikAEirVcgszWjTLkCTAQNlJ3UxlQZW6qkwIItoT0zGgcqbaW0CIxgg+SKpCkpHQTnSK6MKgoUEESC0ttFDgMdQfzn3V/w0MdrMbp/Hh48ax8Ub/4N6087H21r1yL/9NNRcsP18OTkxNtVIs50dARRv70lOiugshl125sRDPTconjSUkKlAQN3K0R+V1aAr8SLnIIMpHgoGEAQBEEYI967TxCEGShQQBAJzmEDD8OC4xfgyg+uxKSlkzDr4Fk4tuzYeLvlKJV1Lbh88XJ8vX4Hztp/EKYdPRz1Dz+EDY8+itSSEgx85BHk/OGQeLtJxJBAewfqqluiMgJqqppRv70FPNhzl5aa4YHP70VRv2wM3bM4lBXgK/Ei25cBlpJcKwKEwygnAEYnBJIrurZnCxgc35GVcSOr2fEqK4honxhZBI5MSvVKAcLbQb+trWUIyrF1xpfKLlAe1F1iVw6iPqbaEKq2DNqMsiuZRaDb1sDliPJBt7FEG9lsBwPD2k6SBYQoUEAQScCIghEhkcPrPrkOa2vXJq3I4Rdrt+OKxcvR2BrAPWeOxbGpNSgffwZaf/0Nvj+fhtIbb4QnNzfebhIO0N7agbquEoEahW5Aw87WiP+g072pyC/xonRwLkbsWwqf34u8rkyBrLx0MEbBAMImogIFxj5b0gEA0Vi67W2e2Drshyn7jrU15rPj11AS16xcS07uDZchQM6umaBBqKtw8i4hJqA2voYftgQQBLYNlQ7I2jW4J2GsyxcELsQet3z/bIICBes+Bl65CMjtC+T1A3L7hD3v2/W8L5CR16lWRRAuJdlFDoNBjgc/Xou73v0ZQ4qzsXDS3ih4aQE2zH8EqUVFGDj/YeQcemi83SQs0toc6MwEqOwRDezOEGiqbYtom5mT1qkXsEt+RFZAvj8LGdmpFAwgCIIgDOFYoCXJJpBE74ACBd58YNhRQP1WYPtaYMNnQEtNdLu07M6AQXjwILcrsBAKKvQBPGmxPweC6CJZRQ5rmtpwzfMr8cFPlThpbD9MH+VBzaXnYvsvv8D3pz+hdPKN8Ph88XaTkIBzjtbGQGdGQJd4YF1Vj25Ac317RPssXzp8fi8G7V4U0g7IL8lCnt+LDC/9F0bEGY6oZTNDGQLhdgy1d3i1G3DWp1isvifDNTWAazIJTCBdChBqFN7Z3vbSGQZaB4RG1AaUN6E5tIFsAz37hsoWlGMYaG/kK2d7GYMTCP4/SHToLqvvWOBP90e+1tYE1Jd3PbYBdVs7n9dt7fx705ed/3a0KYwxILtYnJGQ268n0OAtoOwEwjGSTeTw+801uOSZZaisb8HME0bgmBVLUfHX+UgtKMCABx9A7hFHxNtFQgHnHM317aFMgPCsgNqqZrQ2BXoaMyCnIAM+fxbK9vTDV+yN2E0gLYO2FSTcTVRgwNQE0vg9gemJYYz8i8nk3mwfIHbXPAYTeHN+xeA+VFZbIAxD2gXdY4Q6G2wv2Ud660OtBkZ2UIjoJ+eT5vA2lwwIxzHyceIG28PgrghxDJqZChS7GAoUiEjPAoqGdT7U4Bxo2t4VQCjvzEioK+8JMNRuATZ/09lGSWpmV4mDIiMhPGMhty+QluncORJJT6KLHHLO8cxXGzHzjdXw52bgxT/6kXv3Ddi+Zg3yTj4JfaZMgSc/P95u9lp4kKOxtrVnS8GuDIGargyB9taOUFuWwpBbmAFfSRZ2GZLXVSLQGQjIK85EahoFAwiCIAgi6UmyiXSyQ4ECs7Cu7IHsYqDPGPV2gdbO7IPwjITwoEL5CuDnt4FAc3Rfb2FkACGkodCvJ0shqwhIST7BOsIeRhSMwMLjF+LqjzpFDtfVrsPFYy92vchhY2sAU15ZhddWbMVRwwtwa8N3aLh8PgL5+Rhw/33IPeqoeLvYKwgGORp2tHQGA6ojswJqq5rR0R4MtU3xMOR1ZQP0H5Ef2lLQ5/citygTHtpWkEhWLIoZhuP6LAFL45kfzlrfGGZrADGdCMV85VRyRwPLfWCiHCF8rJARZ/oYEiCUOqhlVKuPMVOa7hgtMZAcJ2o8o19HE/1IzNA+KFDgNKkZQMHgzocanHfqIoRnJHRnKXSXPmxbBTRUIuoTmJIWJsAYrqGgKH1Iz3b0NAn3UuQtwqNHP4oZX8zAgysfxNqatZh1yCzXihz+WlGPSxYuw7qqBtw6OhOHvnwXGlavRt4JJ6B02lSkFhTE28WkoqMjiPrubQXDdANqq5pRV92MYEfPb44nLSWkEzBot8JQVoDP70VOYSZSaFtBojeiuFu2PHmL8aTYvrGtDR3LEoJwEiUooCThNAmMlgiENzcTNFCOKTu2QS2BiCZGygGMNDBbtgBYCiYAFgIKirHNfE2ZiRKFuEMaBYTtMNapW+AtAEp3U2/X0d4ZLAhlJyiCChWrgd8+ANrqo/tm+LoCCX0i9RLCNRRySoAUSgFORtI96Zh58EwMzx+Ou7+7G5sbNrtS5PC1FVtw40urkJsGvJj7M7x3PolAbi76z52DvKOPjrd7CUugvQN1VS0hwcDuLQVrq5pRv6MVPNjzv3lahge+Ei+K+mdj6J7+UFaAz5+FbF86GAUDCIIgCIIgkh4KFCQSnjTA17/zoUVrfXRGQnjpQ/XHnf/yjsh+LAXIKVVkJIRrKHSVPtBWkQmJm0UOWwMdmPnmajzz5UYcn9uMq75djI41q5F73LHoc9NNSC0sjLeLrqe9tUOQFdD5vKGmNSKyn5GVCp/fi9IyH0bs5w1lBfhKsuDNTaNtBQnCAFErbnat9MYzO8AuGy65FratvrtgFd+Wc7H62TIhUmhXf8PCgqKxIwya7KfEZGVByLyVsgWtAcym+uuYVcO0wKHAB7Mf03jewSRcpo8OFChIRjJyAX8u4B+h3ibYATRWCcQYt4VtFfkp0FIb3Vdtq8gIMUbaKtKtuE3kcNOOJly2aBl+2LgD/+lYhd2ffQ7IyUH/e+9B3rGJI74YC1qbAz06AWFZAbWVzWiqi9yFxZubBp/fi/4jCiKyAnwlXmRm03eTIGyBw1aNAqF9t9my1Sf7rpU9E2gbbDiEKwIEdmKhFCEc2wMHIcM22ZG0ZboUQPeAwQHNfEQslhhEDG9DuUHcvsai/w8SHAoU9FZSPF1lCH2AfnuptwvfKjJCQ6ErS0Fzq0i/OCOBtoqMO24ROfzvmgpc8/xK9Kndhpd/fRUZv65B7tFHo88tNyO1qCimvrgBzjlaGtsjdALCMwRaGtoj2mf70uErycLg0UURWwr6/F6ke+nnnSAIgiAIgjAH3UkS2hjZKjJqV4euv2W3iozKUqCtIp0kniKHgY4g7n7vFzz04a+4uPJrnPTd6/B4vSi96z/IO/74pE5955yjqa5NmBVQW9WMtuZAT2MG5BZkwlfixdC9/PD5vcjvygrIK/YiLYM0RQgivrDoJTS7V5ScWqFywq4DK9a2p/ImwIpfQqQvm9zNQNOWDfZEH0FT19NihoC0LYN2LZUCSB0w4YDVr72NGQlAPEsPBP8fJDgUKCCsE75VZN891NvpbRW5dTlQ9xZtFRlDukUOh+UPwz3f3RMTkcPK+hZcuXg5Nn3/M5745RWUbPwFOUcdhb633oJUv9+xcWMJD3I01LR2BQDCthTs2mYw0NqjD8JSGHKLMpHv96JPWV7PTgIlXuQVeeFJo880QbgapzQKZMay3b5zN7mOT34TYXKtgfPXx6H31qpegcieEgeCB6Hh7A4iRA3ukF1J26br/O0OMCiJ2MrCHpMh0/aaS6DB7YcCBUTsoK0iXQljDOeOPhdlvjLc8MkNjoocfrVuO65Y+B0O++ED3LT6baRmedHn3/9C3oknJlwWQbAjiPodraitakJdVTNqwrIC6qqa0REIhtqmpDL4ijtLAgaM7NQMyOsqEcgtyoTHQ8EAgiAIgiAIwj1QoIBwF7RVZNw4fODhjokcBoMc8z9dh2de+hw3rXwewyvWIufww9FnxnSklZTYMoYTdASCqN/eghplVkBVE+qrWxAM21YwNS0FeX4v8ku8nZoBXVkBPr8XOQWZSKFtBQkiOYllRoFw/Nj8tsQ8HT7JVua6iel1jFUatJ1lCFr2w3FgYVt1eKs7PBjFrp0YLIzjxEcnckcEJ78IcbzfSrLfLQoUEIkJbRXpCE6IHNY2tePa55cha8kreGDN20jPzECfO26H75RTXJFFEGjrQG11c6SAYGUT6qqbUb+9BTzsRz8t0wOf34viAbkYtndJp2ZAl4hgli/dFedDEESMcXLXAxPEvb493uO7gPi/B3H6DNqoNWBoLBE2jm+bLoC0AYv9YxVoMDh+7OJWcfwCxvu7bzMUKCCSG9oq0jB2ihyu2lyLmx56B2d99BRGV69D9qGHou/MGUgrdU4DQURbSyBUEqDUDWjY2RrRNiM7FT5/FkrLfBixX5+I3QS8uWkUDCAIogeOqLvfuE8S9XC7fy7E/e+pC/9fimXQQG98LRzwzc63w3ENBbNo+RXnj6Pbv66JBAUKCIK2iozCqsgh5xyLvtyAb+Y8ilt+eBMZ6Wnoe9tt8J12qmMT7dam9sidBLoyBGqqmtFcF/meeHPT4PNnof/IgrASgc5gQGZ24gR1CIIgCMLV0KyN6C0IAseJDgUKCEKWuG4V2R1YiN1WkSKRw3lHzsPuxbtr9mtqC+D2xz/Ebs/MwUXVa5F+wIEYdPttSOvb15I/nHO0NLSHMgK6xQPrusoGWhrbI9pn52fA5/diyJguvYCuQIDP70W6l376CIKwh6gVP5oYuQ7XZwTIkoiTEDWX3fKexCrN36z5GL/l0t+VBPwoxoKk+a3pgu6WCcJOTG8VqchU2LKs899AS3Rfb2FYRoJgVwebt4oMFzk8Z+k5mHXILBw7RCxy+GtFPRZOuxd/+uIlpKemoHTGDBSc/nVxGt4AACAASURBVBfpLALOOZpq27rKApqidAPaWsK0JBiQW5gJn9+LYXv7OwMBXeKBeX4v0tJ7lxglQRBxIsluDJ0i2W6gbSURAwBWkTnlRPjMxPOtc3nZRLxIglNwDY4HChhjxwKYA8AD4FHO+R2K4xkAngawD4DtAM7knG9w2i+CiCuGt4rsFmMM11AoN7BVZL/I0geDW0VGiBx+fB3W1USLHL71/nLUzbwVZ1b8grY9x2HXu+9EWr9+0acV5Gioae3RCQgFAzr/DrT1bCvIUhjyijLhK/Giz9C+ETsJ5BV54UmjbQUJgrAPvXsWgiAIglAlEYJbBnA0UMAY8wC4H8AfAWwG8A1j7HXO+eqwZucD2Mk5H84YGw/gTgBnOukXQSQELtsqUk3kkPE0PHfLfRj9+pPox4CsG6ZixNkT0LCzFbU/bu8JBlR37ybQgo5ATzAgJZXBV+yFryQLA3YtDJUH+Eq8yCnMhMdDwQCCIJxH8p5FvX+S3SASYSTDMmsi4vRlT/TvLH0so+G94+saq6C20xkF+wH4jXO+DgAYY88COAVA+H+6pwC4tev5iwDuY4wxznmif30JIjbEcKvI9Lx+mJnTB8MK9sGc9f9F06rNOOr9IvRt4Phl7Lnwjt0fP6zjqL/yEwSDPV/h1LQU+Eq8KOiTjSFjikNZAb6SLGTnZyAlpRf8qhME4XZk7lmiYEH6/SKIhIS+uslB+IyxF7ynVoPaRnA6UNAfwKawvzcD2F+tDec8wBirBVAEoNph3wiid2Fiq8j2neWoK69BbVULand0oHZDGmqbcuBp2xcXdPwVYCmo6AtUAEhjzfBs/QX+rEYMHxyAr9ADX0k2fP0KkFVaCtatq5BAW0USBNGrkLlnIQiCIAghMcosMxXUNoPTgQJRXEd5CWXagDF2IYALAWDQoEHWPSMIAgDQ1hzoEQys6tYN4Kit8qGxJnKHhczsNOQWpSLlt1UYUvEtWjJa8fbB27CmaCumFQ7Hce3oKX3Ytg3Y0gYsD7eQeFtFEgTRazB8P+IpKJBPX6afNIIgCPtx02+rfXUPxYyxb8P+ns85n9/1PGZBbacDBZsBDAz7ewCArSptNjPGUgH4AOxQGuq6OPMBYNy4cVSWQBAGaGlsj95JoLLz7+b6yG0FvXnpyPd7MXDXgq4Sgc7dBHKLMlH9xmuovuN2IBDAymPPwpmzr8HhwTpc/dHVuL5yGdaPvQSXjL2kc5eDJNoqkiCIXoHMPUvE/UjGwIFcM1AQfs9Idy7JgZsmJYR9kMhIUpLAegXVnPNxKsekgtp24HSg4BsAuzDGygBsATAewERFm9cBnAPgCwB/AfAB6RMQhDE452iuFwUDmlBb3YzWxkBE+5yCDPj8XpTtUQxfSVZoS0Gf34v0zOifhfbKSvx06TVI/fpzrCsqg2fyzZh04gEAAC86RQ6nfzEdD658EOtq12HmwTPhTfUm3VaRBEEkNTL3LARBEAQRDUesAsJSQW07cDRQ0KU5cDmAd9Cpyvg45/xHxtgMAN9yzl8H8BiABYyx39CZSTDeSZ8IIlHhnKOptg21VU2oUWQF1FY1o72lR4SQMSCnMBM+vxfD9ymN2EnAV+xFarpHeszaN97AxltnItjSglf2/wtOv+0ajBpQENEu3ZOOWQfPwvD84bjnu3uwuX4z5hwxB6XZpfqDxHuryO5Ag+RWkQRBJCdq9yx6/UQLkaFVLFr2iCZxV/g6cfo9TfTr4xS04i8kgVfMk5PYfExjFtR2OqMAnPO3ALyleO3msOctAE532g+CSASCQY6GnS1hQYCurICqZtRVNSPQHratYApDbnEmfP4s9B2eHwoG5JdkIbcoE55Ua6vogaoqbLrpFrR89CF+LRyMb8+5DJMvOhZ5mWIxQsYYzh19Lsp8ZbjhkxswYckEzDtyHnYv3t2SH13GDWwVWSHe1SG0VeR/gbaG6L6hrSLDMxIUGgpdW0USBJGciO5Z9DtFv5Qs9+6OTELiOd9LhDdG7/okwjkYIUkCADRhdyFxeE9i8XE2G9Q2g+OBAoIgIunoCKJ+e08woC5cRLC6GcFAz6+MJzUlVBIwcFRhT1aAPwu5hRlI8difUs85R91bb2HLrTMQaGrCgtEnYtcrL8LsPwzr1B7Q4fCBh2PB8QtwxX+vwDlLz8GsQ2bh2CHH2u6nEE8a4BvQ+dBCd6vIX1S2ivR0bRUZnpEQHlzoei0jl8QYCYIgCIIgCNsxFdQ2AQUKCMIBOtqDqNsenRVQU9WM+u0t4MGeYEBqegp8/iwU9M3GkD2Ku4IBnboBOfkZYCmxm3AGtm/HtukzUP/uu/ilcBCeOulKTLvkOOwzuNCQnREFI7DohEW4+qOrcd3H12FdzboekUM3YGKryJ4yh67shO1rgQ2fAi210X3TssUZCeFBBdoqkiCSg0RcEJX8KY71Yq/jq7JWz8cN/4WpnYMbfNPC5ZkDlBFgApdfs7i8p+7+mBuGAgUEYZL2to7ObIDKZtSEthXszA5o2Nka8WORnumBryQLJYNzscu4ktBOAj6/F1l56a6YQNctXYry6TPQXlePJ3c/AZXHnoZHJ+yDopwMU/aKvBoih4lAiqdrgt8H6LeXeru2pmgBxnBhxo1fdAYXOtoUHWmrSIJIdBhX0SiIvSvRaP1sxMJBEz9bds4l41o2Ee8Jihv+y4hzYKDXT/xdcP5xfw/i8Rl0xY+/fVCggCA0aGsOdGYCVDahrjoyQ6CxNnLil5mTBp/fi37degFdWQG+Ei8ys9NcEQwQEdixA9tmzET90qXY6B+M2Yefj1NP/QPuPHIXeCxmM1gSOUwU0rOAomGdDzVoq0iCIAiCIAgigaBAAdHraWlsj9g9IPx5c317RNusvHT4SrwYuFthRFaAz+9FRlbipZHXvfsutt06HYHaOiwefTzeHvNH3D1hHxw6wm/bGN0ih0PyhuDGT2/ExCUTMffIufaIHCYKjNFWkQSRrAiWzVgMl5VUV+2cckE2fhznNH+ji4m2rn5qjR2LNYN4ZhfEaBU37qvVThLjc4vZtYz1Cn+Mr6NahlkiQ4ECIunhnKO5vj2kExCuGVBb1YzWpkBE+5yCDPhKvCgb64/YVjCv2Iv0zOT4ygR27kTFrNtQt2QJdvQfiqljz0XhmFF4feLe6JfvTGnAEYOOiJ/IYaJAW0USROIhvDF0+A417G7U7htT3UlDrAIAZsaxcNllrqMtE6pYawx0j+fkR9Lh2VHCBwUc9N/xa+Pke+u47w7bF5HwH9ZIkmPWQ/R6eJCjsba1MxugujkqQ6C9tUe9njEgtygTPr8Xu4wrDcsKyEJecSZS05N7+7v6//4X5bfcio6dNXhv/1Mwp/QgnPOH4bjxuF2RbnFLRT1cL3KYCNBWkQRBEARBEITDUKCASBiCQY6GHS3CrIDaqmZ0tAdDbVM8DHnF3h7NgK4tBX1+L3KLMuFxeELsRjpqarBt9mzUvf4G2suG46Z9z8PavH647y974LgxfWPmR8KLHCYKtFUkQcSEmIkZhn+N7Fi1UlkptLKAKOWWUftGTtWIbZvFFi2/JSLbdpdDOPFT7NCKc0IszNrsoyPnbPf749T74si5O2BTDyo9IAjn6OgIor66OxjQ1CMeWNWMuupmBDt6voGetJRQacDA3QqR35UV4CvxIqcgAyme3hcMUKP+ww+x7eZbENi5E78eNx7Xpu+JYX0L8PpZe2OoPyfm/vQKkcNEIa5bRXb/TVtFEgmM4MbQrvvTiImD3Sn/VmYlNgUZbA0sGD0dm3UElOdue5mCnfZcNgl3bVDAJr9sPT87J/52+WXr+dlpK/azdtIoIAiLBNo7UFfV0lUiEKkbUL+jFTzY8y1LzfDA5/eiqF82hu5ZHMoK8JV4ke3LALOoyp/sdNTVoWL27ah99VV4hu+Cx469DC/W5+Av+wzAzFNGwxvHMgsSOUwgYrVVpCgjITxTgbaKJNyGk9sjMus3nZYDDapCiQa/hxYDC5YDCnYFEQzYEX4urPx8Jdn2h64JDrglGGDHDNOOc3GDDbtm2275jCUwFCggHKG9tUOQFdD5vKGmNeI/vHRvKvJLvCgdkocR+2WFsgTy/F5k5aVT/bpJGj75BOXTbkJg+3a0TTgHl6bshermIP7159E4Y9+B8XYvxBGDjsDTxz2NKz64ApOWTsLMQ2aSyGGiIrNVZDAINO+grSIJgiDMQLdEBOFeKKOAIDppbQ70ZASERAQ7/26qjVwxzMxJ69QLGJEfkRWQ789CRnYqBQNspKO+HhV33IHal15G+vDhWHnBFExb04H+Bel4+fy9sXs/X7xdjGJk4UgsPmFxSORwfc16XDz2YvpcJCMpKbRVJJFc2Fx6EFqZNHvDGTa45VIAu/QEZJZbNZy1rA1gV7aB0o7FxApTq9B2lA9Y1StI5GwCk2PHNWPA8thx6gvE9bxj/jmj7RGJ3gTnHK2NAdQIsgJqq5rR0tAe0T7Llw6f34tBuxeFsgLyS7KQ5/ciw0sftVjQ8NnnKJ82DYHKSuScdz5u9x+Mt37cgWN2L8W/Tx+LvEz31oGHixw+sPIBrK1dSyKHvRnaKpJIFOy8MTRZbmCqxEBwE225FECmv5lggskggp7ZzgZqhnX6qfU1WZ5geFLjtlIECWI+cbMwnilf4zUpNuWr2bFMnmM8AjTJNmuPAzR76+VwztFU19aTFRC2pWBtVTPamgM9jRmQU5ABnz8LQ/fyw1fsjdhNIC2DtkqLFx0NDai881+oeeEFpA8diuC8R3D2slZs+nUnpp0wCucfUpYQq/MkckgYgraKJAiCIHoz7r+1610kWWyCAgW9AB7kaKhpDQkG1lV3BgJqukQEA609256xFIbcwgz4SrJQWpbXVSLQGQjIK85EahrdDLuNxv/9D1unTUNgWwWK/n4+Pj7wVEx7+xfkZ6Xh2QsPwL5DCuPtoiFI5JCwHTNbRYrEGGmrSEKALWKGZsoNTJYYmCptUHxsZcYzlXVgc7aB1mFTmQZmsgwkv/KWswvMZiTE6CcpJtkEJsaIWeaA6RX8WPWJzTmZ/hzE8ppbgQIFhBsJdgTRsLM1lBVQE5YVUFfVjI5AMNQ2xcOQ15UN0L9bM6Cks1QgtygTHtpWMCHoaGhE5X/+jZpnn0P6kCHo89TTmL0hFS+88RMOGV6Me8fvieKcjHi7aRoSOSRijpGtIqPEGLseRreK3GcSUDjUsVMi4oNhbQDDAxjsZCKoYLicwUAwISZBBIMBBFNaB0b7GAwaGJpUxWLib2Ky5niAIBaTVaPnHYvJvZH2MfDfjdeU4vLWoUBBAtERCKJ+ewtqwrYUrOv+t7oZwY6eL50nLaVLI8CLwbsXhrICfH4vcgozkULbCiY0jV9+hfKpU9G+dSsKzz0XjX89HxNe+BE/V9TjyqN2wT+O2gWeJHiPu0UOr/rwKhI5JNxB+FaRWkRtFbk1svShe6vIXU+iQAFBEARBJAHJJotAgQKXEWjrQF11i0IroPN5/fYW8LAPYFqGB74SL4r6Z2Ponv5QVoDPn4VsXzpYEkwUiUiCjY2ovOtu7Fy0CGmDB2HwwmfwUVpfXD//W6R5GJ6YtC8OH1kSbzdtpchbhMeOeSwkcriudh1mHjwTmam0BR7hYmS3iiQSH4uCdoCJVX6jgoUmBA4NZwQYyAYwJUBoVHTQYKaB5QwDB9pbKkdwAY75bNCuIT+cWul2MmMAcHSF3rHrZ/R30ulrQkRBgYI40NYSCOkEdOsGdGcINOxsjWibkZUKn9+L0jIfRuzXJ5QV4CvJgjc3jVZWexFN33yDrVOmon3zZhSe8zf4Lr8S//rodzz++TLsOTAf95+1N/rnJ+cOAUqRw031mzD3yLkoyUquoAjRy6DtGRMfle2wDN2emlTJV8NSyYDkZN/JIIKafUPlClrXVGlIMnCg6YPSD4eCBtLBCxfcGsY7SCA9frwDA05Nfp0IBDh0raSnMrEoASEioECBQ7Q2tUfvJND1d1NdW0Rbb24afH4v+o8oiMgK8JV4kZnt3u3siNgQbGpC5T33YueCBUgbOBCDn34KtSNGY+KCZVi2sQaTDhqCKcePQnpqck86lCKHE96cQCKHBEEQBEEQhDtIsiQGChSYhHOOlsZ2YVZAbWUzWhrbI9pn+9LhK8nC4NFFEVsK+vxepHvpbSDENH33HbZOmYL23zei4K9/Rck1V+OzzY24au5naG3vwH0T98KJe/SLt5sxhUQOCYJwFYIbQ6mFX9myAAfKGKSzDoxkJzC58aNWLyVLCgztXmBEdJBLpkooDtueXWB3VoHNY8viSCZBvLIIDKXc291Owke7r4vsuAbGdiRbwKlsDauoZJglMjRD1YBzjqa6tp6sgO6gQFdgoK0lbIssBuQWZMJX4sXQvf2dQoJdWQF5xV6kZdC2goQ8wZYWVN07Bzueegpp/fph0FNPIXPffTH3g18x57+/YkRJLh74694Y5s+Jt6txgUQOCYJwDaJJqX33+HILVDYGEwyVLui1lSwriBpXZM+A5IBUMEIYYJB32PaggeTk3tSOCHYQjxmQxDnaGhxwYgKq19bGCbKtAQEjJVEybe0MQEj7lmSz9jjQ6wMFPMjRUNMamREQVjIQaOsRm2IpDLlFmcj3e9GnrE/PTgIlXuQVeeFJS+7UbyI2NC1fjvLJU9C2YQPyJ4xH6T//iZ08FRc/8TU+/bUap+3dH7f9aQy86b07+EQihwRBEARBEIRrSLLYRK8PFKxdXoV3Hvkh9HdKKoOvuLMkYMDITs2AvK4SgdyiTHg8FAwgnCHY0oKqufOw48knkdqnFIOeeBzZBx6I737ficsXfYntjW24/bQxGL/vQFo576Jb5HBY/jDc+929JHJIEERMYRCo5ds8gFQqv43lC4ZKB/RW6g3sVKC764AB0UKpHQxkyxMkShMMZRfovRd2liHEWNjQ1iwHO1bP7coisDPTwCafdM/fxkwF2zIGYp0tEI9bZQoUJBd9hubhsIkjQyKCOQWZSKFtBYkY07xyJbZOnoK2deuQf8YZKLn+OqRkZ+Pxz9Zj9ltr0C/fi5cvOQij+/vi7arrYIzhvNHnoSyvDDd8egOJHBIEEVsUN4bS+gQyk3sJ/QCpMgKDuw5ouqVXOiATHJCY9Ns52ZeayMuUCBgIGlgbR6JNsmJ1khzLCasdE2i7yissnnfMggFSn2d73kOWbIIBcaDXL4/nFGRi9KH9MXDXQuQVeSlIQMSUYFsbKu+6GxsmTESwuRkDH30UfWdMR1NqBi5btAwz3lyNI3YtwRtXHEJBAh2OGHQEFhy3AJ4UDyYtnYSlG5bG2yWCIAiCIAiiF9CdYWbHwy30+owCgogXzatWYevkyWj7bS18f/kzSm+4AZ7cXKwpr8OlC5dh444mTDl+V1zwh6FUaiAJiRwSBBFTBDd1Mvd4RoTrVQ1IZCRYyjawmGlguHRAxw+7RAtjlV0gJTpoZHcCAbEYI6Zo+BiTUgOrWQSxKCtIhMwBq1kDdmULUOmBZShQQBAxJtjWhuoHHsD2Rx5FanExBs5/GDmHHgoAeOHbTZj26g/wedOw+IIDsF9ZYZy9TTxI5JAgiJhipvRA66BMSYFEfzMTb8C+AILU7gYypQMaE13D5QlWyxu0ggZW9Au0tAQkJvrS2yY6hOWxreoRWEnvdzo44OS5SU2oTdqWGUN3fGvXRjMYQKUHMYECBQQRQ5p//BHlN05G66+/wnfqqSidfCM8eXloae/ALa/9iOe+3YQDhxZh7oS94M/NiLe7CQuJHBIEQRAEQRAxw2VlA3ZAgQKCiAG8rQ3VDz2M6ocfRmphIQY89CByDz8cALChuhGXLFyGNeV1uPyI4bj6jyPgIa0MywhFDo+ai92LSOSQIAgbMXFjKJMprtVRc7VeLxNAJz1fN8Xf5kwD6V0U7Cgr0MkOsCREKCl0qGvbTNaBVWK8O0IEZssNbBAJNL1abmFsJ89Jt6zA7Aq9lcwBzTII6++h1awD20myQEGvFzMkCKdp+eknrD/jTFQ/8AB8J56AoW++EQoSLP1hG06a9xnKa5vxxKR98c9jRlKQwGYiRA7fnoR3NrwTb5cIgkgiokSotB7daBzXFLfSsWu6rxW7audk8voZsqsxnq4wmIafUqJimsfU/x+3Zlf9kCW7FjBddsDgzIRax27ouKiN5jGdD4VGX856HnbZZSz6IbSptM9UHqLxosbV+uHS7ssYj3pojsnU+0XYUOsruD4kV2UcyiggCIfg7e2onj8f1Q8+BE9+PgY8cD9yjzwSANDeEcSdb/+ERz9bj7EDfLj/rL0xoCArzh4nLyMLR2LRCYtw9YdX458f/xPratfh4j1I5JAgCBtQ3N+bzhbQQas83pIegVZf0TGNhXPD+gNqQ4f11RQslBzPlD2rfbn2xTedXaB1zApcxWaMc6kdq9lXO+bACr+lIIdWV9VzsPmahBBF4LR7mFnht5IVYFmDwW7iMKSTUKCAIByg5edfsHXyjWhdvQZ5J56I0qlTkFpQAADYVtuCyxctw7e/78Q5Bw7GlBNGISPVE2ePk59ib3GPyOGKB7CuhkQOCYLovcRT/I5wIfR5SEwcmwwn2Yw3RpBGAUEQqvBAANsffRRV9z8AT14e+s+bi7w//jF0/LNfq/GPZ5ejub0DcyfshZPH9oujt70PEjkkCMJWjKbZS5hT7aSRmSy0pZMtYFiLQM0PsxkGir5qSNuUXO23ml1gOAtAYkcEU7shqBDvHRCkMOOfmVVn3ewEg+No2LQ7i8CU3oCZ8wVgRmPANZkDGjZp1wPrUKCAIGyi9ddfsfXGyWj58UfkHX8cSm+6KZRFEAxy3Pfhb7jn/V8w3J+DB/+6N4aX5MbZ494JiRwSBGEnURNZU0bEtjTt6UzcDZUbmC1R0LClZk96oq+C6kTfqaCBsjZcq093P7UyBKWBsJcMT+5NBBFiak+Ejn3Va2BnkMDMhF6jj2GfNWwZngybKiswHghRnXCbLUOw8RpoBQPiUl2aZLEJEjMkCIvwQADV8x/B+tP+jPatW9H/3nvR/+67Q0GCHY1tOPfJb3D3e7/glLH98NrlB1OQwAWQyCFBEARBdOH2LAQiOUjmz5ma1qOZh0ugjAKCsEDr2rXYOnkKWr7/HrlHH40+t9yM1KKi0PHlG3fisoXLUN3QhttOHY2J+w0iAT0XQSKHBEFYxkkxQ60SAaPGVLIGNLMFup+qpf+LsgkM2IprdoFspoCGLdXSAa3VeRWRQ01bgrFNYaMtO8sb4ppJYGIMu7IITAnxGc6UsLFEwNYyBLX2xjIHtK4hlR5Yx5FAAWPs3wBOAtAGYC2AcznnNYJ2GwDUA+gAEOCcj3PCH4KwG97RgR1PPomqOXORkpWF/nffhdzjjgtNMDnneOp/G3DbW2tQmpeJly45CGMG+OLsNSFCKXK4vmY9Zhw8g0QOCYKQwkjpgV55u/SYanZMlAgYCgJ0PzU6qbZxbDVM+2REi0AlACBsb3JSbmhsnaCHq7QKzNT2G7RlW5BA0N7x4ICtGgw2TfRtKEOIa0AgDp//ZItNOJVR8B6AyZzzAGPsTgCTAdyg0vYIznm1Q34QhO20rluP8ilT0LxiBXL+7yj0vfVWpBYXh443tAZww0vfY8n35fi/USW46/Q94ctKi6PHhB4ikcM5R84hkUOCIAiC6E24KbgST+g6mIMCBfpwzt8N+/NLAH9xYhyCiCW8owM7nl6AqnvvBcvMRL9//xt5J54Qkab+87Z6XLLwO2yobsSNx+2KC/8wFCkp9GubCJDIIUEQppAsPdBa7ZcuLzAoYGimRMBQqYOgvVRWgFFxQYNlCYbsmPXFahmCxm4IBIyt1DuYSQAI3lOnswgMnY9z2QPm2otfF4p4GswesLUkgpAiFmKG5wF4W+UYB/AuY+w7xtiFWkYYYxcyxr5ljH1bVVVlu5MEoUXbhg34/ey/ofLOO5F90EEY+sbr8J10YkSQ4OVlm3HK/Z+hviWARRccgIsPG0ZBggSERA4JgpCFGRCnYioPI+2NimEJbUDcVut1oQ2V9sJ2yrYSrxu2o4LqXEH0uopdI35oto0ajwlz2oU21HzWet0NMKim8gvT+dVOXsWO9KRa7QPFILTd7Z/tQQKDfqi+LvzwidsyxkMPYVsmbhtqr2zbHZhk0Y+ocww7V6VtUf/Oh7Jdly8iPzTaq7jtKGq/80YfbsF0RgFj7H0AfQSHpnLOX+tqMxVAAMBCFTMHc863MsZKALzHGPuJc/6JqCHnfD6A+QAwbtw4F11CIpnhwSB2PvMMKu++Byw9Hf3uvAN5J58cESBoae/A9Dd+xOKvN+GAoYWYO2EvlORSfXsiQyKHBEEQBEEQhCGSbIZqOlDAOf8/reOMsXMAnAjgKM658LJxzrd2/VvJGHsFwH4AhIECgog1bRs3onzKVDR9+y2yDzsUfWfMQFppaUSb37c34tKFy/Dj1jpcevgwXPPHEUj10K6jyUCxtxiPHvMopv+PRA4JglAnKtPc4I2iaqmCoKGhsgCVgYSlAqL+kuUGWqn9Uv7GoCTBlNChSMiNywsNCksRVOyqlSGojieJ1f4xx6lyAwN2VbMcZMeCIItAzYbRkgnJOifLKfoWywqcKilQtavmlpuW5hMUp3Y9OBad4oWHcc6bVNpkA0jhnNd3PT8awAwn/CEII/BgEDsXL0blf+4C83jQd/Zs+E79U9Rq8rs/bsO1L6xECmN47JxxOGpUqYpFIlHJ8GTgtkNuw7D8YZizbA6JHBIEEY3yHlutzln2nlVtQi/brnt8vfGM9DcQDNDrHzVptzNoIDEpFk7gRf11xje9y4FaO5VtE6X7G0HyWql2txh8kO5vdCJtoUzAaoBAujY/VsEBy5NyFXdEAS2rgQHJdkYDAjEPFKiVGCUwTi193gcgF53lBCsYYw8BAGOsH2Psra42pQA+Y4ytBPA1DTL+8gAAIABJREFUgCWc86UO+UMQUrRt3oyNk85FxcxZyBo3DkPffAP5p50aESRo7wji9rfW4MIF36GsOBtvXnEIBQmSGMYYzh9zPu494l6srV2LCUsm4MftP8bbLYIgCIIgiIQimVf5VSQUTD3cglO7HgxXeX0rgOO7nq8DMNaJ8QnCKDwYRM1zz6Hi3/8BYwx9Z82E789/jsoiqKhrwRWLluPrDTtw9gGDMe3EUchI9cTJayKWHDnoSCw4bgGu+OAKTHp7EmYdMgvHDDkm3m4RBBFndFf+u9sp7v541BO1jgbGMZLub6SsQNlWI2tAt7/N2QVmd0dQLQ0Q9RW8LluGYKRcQdpPEXZkGtiNdOaAgcmjbBmC5Mq56nW1ko4vW2YQzywC2fORXK23O3tAo6lgbGMZDYQ8jgQKCCKRaN+yBVunTUPTF18i+6AD0XfWLKT16xfV7n+/VePKZ5ejsbUDc8bviVP27B8Hb4l4QiKHBEFEIZlZHDXXtlKioBYQELQDJIIMKhN6QxoDgmBCLIIGuvoDVgIGorFlyxDMlivIbptod6AhBhjywWx5ghPlBhbS8uUDBPYFB+wuLxBO4mNQViBbUqDmS0o8sheSLGGCAgVEr4VzjpoXXkDlHXcCAPpMn478M06PmvQFgxwPfrwWd737M4b6c7D4gr2xS2luPFwmXACJHBIEQRAEQRBKkq2yggIFRK+kvbwc5dNuQuPnnyPrgAPQd9YspA+IzhDY2diGa55fgQ9/rsLJY/vh9tPGIDuDvja9HRI5JAgCgCHxKrXFZGWjqHaSGQaAufIEIxkCyjEsr/zbkV2g1U9jDCXSJQKyZQhGyhWixoy+2Am3g4EssjOrqMwBA7Zkyg0kswFkU/Ol/LWyi0FUdoCFLAJJgUJlXyO7K+hlEBgRJFT6oZY5kMx6CLGCZjxEr4JzjtqXXkLFHXeCB4MovfkmFIwfD5YSreu5YlMNLlu4DFX1rZj5p9H46/6DKMWcCNEtcljmK8ONn96ICUsmYN6R87Bb0W7xdo0giBgiq1EQ1U/wmqgkQNjORHlC1MTZYHBBSo/AoaCBZlmATrDByM4IhsoYZMsLVMYws2NDFBJ+xQ2zPsik6pstS4Dg/bFTi8BsmYGgXayDA6Y1ByT9ki0tkPFDGRhwza4HQNKVHtCG70SvoX3bNmy68CKUT7sJmaNGYehrr6Jw4sSoIAHnHE9/sQGnP/Q/AMALFx+Isw8YTEECQki3yKGHeXDO2+fg3Q3vxtslgiAIgiAIItZwmx4ugTIKiKSHc47aV19DxezZ4IEASqdNQ8HECcIsgsbWAG58eRXeWLkVR+5agrvPGIv8rPQ4eE0kEt0ih1d9eBWu/fhaXFp7KYkcEkRvQW5BUureT7c8gUW348qGKqUD0qUPMqv9GtkFuin/JrILNFf6jZYFiFbhBUit/MuOJ1VuIPBLIWyYyOUHuiv5gIUsBH1bUuUGJsX+RH2jz8WeLALVtjZkEYj62blrgcxuBTJlBTKZCCJbhHEoUEAkNe0Vldh2881o+PhjePfZB/1m34b0wYOFbX+pqMclz3yH9dWNuO6YkbjksGFISaFfGUKOYm8xHjvmMRI5JIhehuyOAmZKFGQm91HbLgobwb4Juk7QwJBOgEz6vkqbUDu9IIlkCYYaUoEGgY96fVw36Ze8HjFFqgxBfyJrJkghpUUgXRKh76Op3QziGBwws2uBk2UFMrYch4s/JokMBQqIpIRzjro33sC2WbeBt7WhdPKNKDj7bGEWAQC8unwLJr+8CtkZqXjm7/vjoGHFMfaYSAZI5JAgeiExXLmXmtyLxrbDrlNBA43shFA/lUCD2Um80B+NCbKZ7AIjQQ9tu5EGbc10ULSxBTMTdamAgKiNth0zWQSARJBAxl8zGQSmAwjKF2wIDgjGsiM4IBpbJjhgZ5DBUZIsUEAaBUTSEaiqwubLr8DW629AxrBhKHvlZRSec44wSNDS3oGpr6zCVc+twJgBPrx15SEUJCAs0S1yeO8R92Jt7VpMWDIBq7evjrdbBEEQBBFzHMuacGgS6Fi6ukN2yd9OYp49oALj9jzcAgUKiKSBc47aN5dg3YknofHTT1Fyww0Y/MwCZJSVCdtv2tGEvzz0Pyz8aiMuPmwYFv19f5TkUZo4YQ8kckgQvQAOsKDiBk/xEN4Emmhjyi6iH1FiWTzyNeHNqpE2FuyKxLyEfaBxXNBGJBCm20eAsI+OHTfd9BtG4TxnLiuX0ECYxWA0dV+iT88XK2J0nXG4ZqZA9/FQm4gvcI+vEf4qvmBRNsL6dPcTtYkeJ7JNxO9J2DH1R+S4KYxHPeywI+qTgugHYQwqPSCSgkB1NbZNn476995H5tg90O/225ExdKhq+/dXV+Ca51cAAB752zj8cbfSWLlK9CKUIoeX1V6Gi/a4iEQOCSKZ0JlHiG5NLbexkLIfyrjXu2c2W5IgGFO6JEE2ld/kuZvRElAS4Ud4P9mfdcEYUn4ohA0Thahzi2qg87ewjc6XTtcpwUt2lxuYKCOQS/9X99GJEoOoyyIcQ+lH9BBaZQF2lRUoAwHhdmKWcZB4X1FNKFBAJDx1b7+NbdNnINjUhJJ/XovCc88F83iEbQMdQfzn3V/w0MdrMbp/Hh6YuA8GFWXF2GOiNxEucnj/ivuxrmYdiRwSBEEQvYJEyUBwmrjUy/ci3JItkGxvMwUKiIQlsGMHts2YifqlS5E5Zgz63T4bGcOHq7avrGvB5YuX4+v1OzBx/0G4+cTdkJkmDigQhJ2QyCFBJCcMXSumOm2UKNtrthGtmEv6FmovWGEXLWCrGrY7u0Cxmq7bPuxvmdV3zTYqPhvNENBcKdc6RwNjGBpfIhsi7tgxi9JZldcVMJQpN4jqr/W3sRV65XHDWQShF7VW6HXG1/HRahaBzJaGRrMIlO21sgdk+hNyUKCASEjq3nkX26ZPR0d9PfxXX42i888DS1X/OH+xdjuuWLwcja0B3H3GWJy294AYeksQCIkclvnKcOOnN2LCkgmYd+Q87Fa0W7xdIwjCClxl0q2BblkBwiaXOv1l0v31xrM1aKBXCmC0dEBgX6Z0QWpyHva35Ym3hr/hPqkFF5wIJljubxHD2QQyZQhGxtOZHBoqNxD6ol+eEFX/r3ZMcdzMVoeMqR/TG184nIHxjAYH9HY+EPUPDw4YLU+ISekBR9KVHpCYIZFQBHbuxJZrrsWWf/wDaX37ouylF1F80YWqQYJgkOOBj37DWY9+iTxvKl67/GAKEhBxhUQOCYIgCKKX4eZMDwGJtgLvll0P9ERopR8ugQIFRMJQ//77WHfSyah77z34/3Elhjy7GJkjRqi2r2lqwwVPf4t/Lf0Zx4/pi9cvPwQjSnNj6DFBiOkWORxZOBLXfnwtHlr5ELiushhBEG6EcR5xg8cUD5kbQq32Ece6kR1P0F5zPEAksC7vOxA9NtR9N9Q+/G9F26ixeeTxCNSujdKWyniqY6u11/pp1zv3qPYun20acS/qQ6bXXnGx9fqLVuu7s0eY1WwC0RsX9pQJdi1A9PEIv7SyCcLOPWoXAhZ9PsJdDBiE/aNOVXmMye08IG6vvnMBAMO7Fhje9UBwnDAGlR4QrqejpgbbbpuNujfeQMaoURj02KPIHDlSs8/3m2tw6cJlqKhrwYxTdsfZBwwmpXnCVZDIIUEkAd2T9bBJA1fMCkT/82jdrmqVFejaUqbliwzzyL+12quWJAjKG/TG1i0XULElLG1QtO0+D7XSAafLEITtjZQYaKExtlFbhse2E61JmjDvXctW5J8R5yORcq/pl4VyA610f6s7Giht6OoQ6PilDA5o2TJSYmCkr97OBVrlCcK+cS49YNAJ9CUgFCggXE39Bx+i/Jab0bGzBsWXX95ZZpCWptqec45nvtqImW+shj83Ay9cfBD2HJgfQ48JQp5ukcOh+UMxd9lcbKrfhLlHzoU/yx9v1wiCIAiCIBICV5UeJBEUKCBcSUdtLSpm347a115DxsiRGDR/PjJHjdLs09gawNRXVuHVFVtx+Eg/7jljTxRkp8fIY4IwB2MMfx/zdwz1DcWNn96I8UvGk8ghQSQQjCsXuCPvFJUZBp1two9r2Fb8LcoQkF7FV/bVW5VXrvCH+yHoK8pU0NsdQWZnBGFmgcnMgaisBgu2lGiu1utkJGjZjW4rOBmzthzE1qwFjUmg5jiiLAytVXvdcgN1+4ZW9LXKDBR+GRIsNJBFoGwTjywC0ZaGhjMQwkoy1I6pjUXoQxoFhOto+PhjrDvpZNS++SaKL70EZS88rxsk+K2yHqfc/zleX7kV/zx6BB4/Z18KEhAJhVLk8L3f34u3SwTRq2CMDWSMfcgYW8MY+5Ex9g+pjl3lw6EyYsWDcR56hPdR1SAQ2JDRFtA7rtlXyx+lT0BkSbWaLeWY4e1F/ir6qvkvHNOI3bA2asc0NQ5kEdkVja9yzC0LpI6gN7k3OPnvOaZ+0YS6BLJ2ReUGipp/NVvSWgSKD620DoHQbtgkXnFYTT8g3Cej+gNKH7X6AghpDijHFPVV0xwQaQ9EHY/QN4iNRkH4772Vh1ugQAHhGjrq6rB1ylRsuuhieHx5GPLcc/BfeSVYuvaE/7UVW3DyfZ+jpqkNC87fH5cfuQtSUlwQTicIg4SLHF7z0TUkckgQsSUA4FrO+SgABwC4jDFGqT0EQRA24dTKvitKD9SCvGYeLoFKDwhX0PDpZyi/6SYEKitRdNFFKL7sUqToBAhaAx2Y9eYaLPjyd+w7pADzJuyNPj4SgiMSGxI5JIj4wDkvB1De9byeMbYGQH8Aq7X6RZceKOxGHIu+AwwvTdAsNYgYVJFGrzjW7ZfacdmShIise1FZgNLXsGNGyw2iShXMCA2GP4egPZc/Fo7Qd422quUKGmNYKU+IGtOIXafRm8CZzBAwImCoucNB1LGIUXTsqtvRPqbii6Cv2VKDiCEMjAGoiwZaKU9QBgjU+irHkBUwFJcx8Kh2hDEoUEDElY6GBlTeeSdqXngR6cOGYchzz8I7Zoxuv007mnDZomX4fnMtLjx0KK47ZiTSPJQgQyQHJHJIEPGFMTYEwF4AvhIcuxDAhQCQnl3Qma4fdlx5O6p1rPM4DzsefuevMaGXHUMraCChJSCq2Vcdo/t1UdREMdEP2VEZQxhMUPNFNAkXBARE40VhIegQjuzEPcIvw3YUFyKe2BWEMF0aYKCd2SCBZIBA77hakEBai0AjICE6dbWJvpEdBdT6xTo4IBqvewxdjYIYfVfc8pW0C5pZEXGj4fPPse6kk1Hz0ssouuDvKHv5JakgwQc/VeDEeZ9hfVUjHj57H0w5fhQFCYiko1vk8J4j7sHa2rUYv2Q8Vm/XXNgkCMIGGGM5AF4CcBXnvE55nHM+n3M+jnM+LjUzO/YOEgRBEO6E2/SwAGPs9C6dnSBjbJzi2GTG2G+MsZ8ZY8fo2aLZFRFzOhoaUX7Lrdh0/t+RkpmJIYsWouTaa5GSkaHZL9ARxL+W/oTznvwW/fO9ePPKQ3DM7n1i5DVBxIejBh2FBcctQApLIZFDgnAYxlgaOoMECznnL+t24IgSB2SKh9qxcBs9x8PErBQ3jGo2o21otIM5v5R2ItqG20HPI+KY0l6YLxHjic5VcSxqoVfki/K5xnhR560zXlQ7mZt6Izf/sV6RjOV4CtE97bbqjumWHXQfChcAFL7RCt86rcNsNkGEYF7YuUaJEYb5Ii1aKPBDLZtARnQQUBcdjLYR7ZeayGG4gKDynEQihCIhQjUBw9DYiBYpFAkdih69hB8AnAbgk/AXuzR3xgPYHcCxAB5gjHm0DFGggIgpjV9+ifUnn4ya559H4XnnoeyVl+Hdc0/dfpX1LfjrY1/hgY/WYsJ+A/HypQdhcBGt5BC9g5GFI7H4hMUkckgQDsIYYwAeA7CGc363dEetyblk0EB8XBEwkA0GCCb0onaqk321oIHgudaEPiqLW8dHYTtYCwJEPReNJ+qvMZ7efFM4jgitsSX81cRIYELWpOQEnzPJtoaCBpJ+aOkSqI2t5UfEZF8cBOgZT21Cr7QZPSkXtVMPOoRN+pWnEhEQ0A5A6O9mIO4jnMw7GBwIt60MDhgJEMQqUCD6XTfzsALnfA3n/GfBoVMAPMs5b+WcrwfwG4D9tGyRRgERE4KNjai86y7sXLQY6YMHY/DCZ5C1995Sfb9atx2XL16O+pZ2/Of0sfjLPgMc9pYg3AeJHBKE4xwM4GwAqxhjK7pem8I5fyuOPhEEQRCJgn2xiGLG2Ldhf8/nnM+3aLM/gC/D/t7c9ZoqFCggHKfx669RPmUq2rdsQeE558B/1T+Q4vXq9uOc4+FP1uHf7/yMwYVZWHD+fti1T14MPCYId0IihwThHJzzzyC/xgl0NWY88t5QaUDtWMT9pIboYITYYffyHtfuI3K0u51SKDDCJ1lxQRXfo2yHrwSHPzEhcqgqWqh3jnrChGrnK0Lhr2FhQ412UeMo/NVD1/d4ILs0KllKoGrbrIBhVD+1rAB1n+zMJBCOo3KcCV7Ts29VsDBKdBAm+qgcU5YWKFFtG5adoETPpsup5pyPUzvIGHsfgKj+eirn/DW1boLXNC8MBQoIxwg2NaHynnuxc8ECpA0ahMELnkbWONXPfAS1Te249oWVeH9NBU4Y0xd3/HkMcjPTHPaYINxPt8hhma8Mkz+djPFLxmPekfOwWxFt904QcYFzsLD7L+Vdl1pwQDZoENknLGig2CEhvI/ID+W4wu0OVfprBRNEE21Ru4i5vai/4jyU/qkGARDZTq1/1HMlJoMAmj7pYSRIIewveOMkiDi/WGFmPNmSg/AuZoIOnSNEjWlk4q4aJJCckJvZ2cDqjgayuxmo7WRgaAeErud2BgfCn2vtiKB23Ha44a+i+aE4/z8T3TYDGBj29wAAW7U6kEYB4QhN336LdX86FTsXLEDB2Wdj6KuvSAcJfthSixPv+xQf/1KJW07aDfdN3IuCBAShgEQOCcIdMA6A89AjqtY07GH09W774j4C4UOu8KsbpV0OsKD6mML+Ya8L+wn8FvaH4vXwcQXnLXpdZFe2v6zegEx/WVRtGbRhpb+rsBqkMJJNEN5OqEsQ/oGQ668nWhjyUWXCHd5OT4uAMR4tEhpmS82uljZAdP8euyLtgkh9AMV5qvRR6gcItQkU2gZa/WW0B6L0DFTaOYrW76KRhzO8DmA8YyyDMVYGYBcAX2t1oEABYSvB5mZU3H47fj/7b0AwiEFPPYU+U6cgJStLty/nHIu+2ojTHvwfOjo4nrvoQJx7cBmYpiINQfReukUORxSOwDUfXYOHVz5MIocEQcjh1H+tCWbXVan6RNKiVb7Qm+w6NVlPwNICx2CMncoY2wzgQABLGGPvAADn/EcAzwNYDWApgMs45x1atqj0gLCNpmXLUT55Mtp+/x0FEyei5NprkJIttzNBU1sA0175AS8v34JDR/hx75l7ojA73WGPCSLxKfYW4/FjHset/7sV9624D2tr12LGQSRySBAxoXt1PuIlxSqiSlmCmZIE9dIAHvY6C+/S87oylZ73NBKm0Ov4AihS2I3YDU8pD3+iUg4hpZ1gsgzBUPmAno/KNiaw01YEdtqyE7U0fRO+qqb8R7wua0vcPxblBjKlBlp2rZQaWNUhkHk92q64ndRzxe+tTB+nYFDPUIolnPNXALyicuw2ALfJ2qJAAWGZYEsLqubOw44nnkBa374Y9OQTyD7gAOn+v1U24NKF3+HXygZc88cRuPyI4UhJceP/ZgThTjI8GZh9yGwMyx+GucvmYnP9Zsw5Yg6JHBJEDGBBgIflZyr/9woPHDgRNIieRPOu15ncpF9tPMnJedTr4ZNcGbvhzcMn6oox1DQVVCfVMoEFCVsRr8uiEnDQC1rYTiyCA+FBn1hkfQgm1+YTT3Um6kYDBAJEk3MrAQIzugJGAwRWggNax5wIDkQFIOIYKAAAJFlWJ5UeEJZoXrEC6089DTsefxz5Z5yBstdfNxQkeGPlVpxy32eobmjD0+fthyuP2oWCBARhgm6Rw3uOuAe/1fyG8UvGY/X21fF2iyAIondCtzLO4tD1/f/2zjz+qqrc/5/1/YKgIqDgCIKoOOYY18yhzCHnoVnKzFuJaTjgrZ+hpVIpaWUCmkWm6VVRy7yaOFxNuTlkieCM8wSCAoKIIONevz/OWXuvtfZaezhn7zN8v593r/PynLXXetZzNkpnPft5Pk95qfylmCWkVBgoIDURrFyJ+b/+Nd78+jcQrFiBLf94NTYfdyE6+2QrNVi5Zi0uuOM5nD5lJnbYvC+mnrEf9h/Op5+E1AtFDglpMLKSVaBeLlE/9fKJHuprihvXxA4R90n33/U+NiejH05BriS7ahzucfs+ur6La9yFc+8Mtrx7+OaUhP/PTbjnNBP9qbxyz1bkK2vf1L31P7hoPG+5QdLeunhfUeUGrswAXaTPEEA0XghfLmE/VzaBSxjR/l6+vQ0BQehCiLUJFdp2YiKGOdaXjf73Yz2vVoGlByQ3Hz/7LOaOHYtVr76G/l/5MjY55xx09umTef2cxcvx/Ztm4unZH+C7+w3DOYfvgJ6djFkRUhRK5PDMh87E2dPOxujdR2PUrqMoDEpICQhplQsE0Xu9JCGuMaAfDIopSfCPS21cJM7ViZUMqMkJ6frqO2Zpo5irDCFPiYA2XmT6fZY9wjm6/5YNoLb706VIKScA0ksOAPMQXq/GQV58e6dqEpRQblBmqUFeDYKiSgxsW0WWKJSCHkTsIjBQQDITrFqFhVf+Fu9ffTV6DByILf8wGX323z+XjYdemo8xtzyFtWslfnfCnjjsE5uX5C0h3RuKHBJCCCGtQVklDWXRsJp+0tKUFigQQlwI4GQAC6pD50op73bMOwzABACdAK6WUv6iLJ9I7Xz83POYN3YsVr7yCvp98YvY9EfnoLNv38zr1wYSlz/wMiY9+Cp22GwDXHXCJzFsYLYyBUJIbegihxNmTKDIISFFI1EpI/BlBGTILqg8NVZPGoVXHDDvk3T/uDSFDuvNAsjpbyYftS3C8Vp8yfI98mQnkPbEV9dShIBhnkyCBPu1ZhM0S7Sw1myCejIB6lur/WVcIg3apmGUnVHwGynlr3wXhRCdAK4EcAiAOQCeEELcKaWkAleLIFetwsLf/Q4Lfz8ZPQYMwJa//x36fPazuWws/GglzpgyE4+99j6+NmJLjDt2Z/Tu2VmSx4QQHSVyOKzfMIx9eCxGTh2JSQdOwo4Ddmy2a4R0CSqlB/oP/nxBA7MEIG7HsGHMrWdcauMidb5O2l7OsSLKEAoIkqSWCBQYjEgLNDAYUR/5WyGmH9ZLDRI0uNyglYIDvveNDA40rutBY7ZpFM0uDN8LwKtSytellKsA3Azg2Cb7RKqsmDULb3zlq1j426vQ76ijsPXf7swdJHjizUU4cuLDePKtxbj0y7viki/vyiABIU1AiRwKIfCteylySAghhJDGwpKG9qLsQMFoIcQzQohrhBAbOq4PAjBb+zynOhZDCDFKCDFdCDF9wYIFrimkIOTq1VhwxZV44ytfxZpF72Pwb3+LLS75BTr79ctuQ0pM/sdrOH7y41i3ZyduP21ffHXEliV6TQhJQ4kcDt9wOM6edjZ+//TvIbtYz19CGokAAIn8nQ08XRJcdrw2ahxH1efwO+h/BxjjcI6nzYntk+CT7Z9zD5i27Peu/ZLG7Tm5vmMjqOH+th0FCRmWga7qb3ZE0J7Aa38IdncDITx2NPvhe3jGE7IJsnY2cNnKk02QpdOB3kmgpm4GcHcyqG9toL3Y9aBe6io9EEI8AGAzx6XzAFwF4Geo/BX2MwC/BvBt24RjrfP2SCknA5gMACNGjGihW9i1WPHSS5j7o7FYOWsW+h59NDY771x09u+fy8aSj1fjh39+Gv/7wns4/BOb4ZIv74q+vXuW5DEhJA8UOSSkQKoHecjoYJNWSlAZj0grSUi1kTNN3l0iEH1KLUWoU6PANw7p38+pWZDRbtJ+uQ+dOez6/kxKQ0aOGXs3Gt+hvixfMu3nnpO57aFnvzyaBPW0P0yaW7QWQVqng6I6GqgDft417jnuEoPmdD3oWkfUugIFUsqDs8wTQvwBwF2OS3MA6I+ZBwOYW49PpDbk6tV4/+qrseC3V6Gzb18MvmISNjg40x+vwXPvLMFpN87A3A8+xk+O2gnf3ncrtmQjpMWgyCEhhBBCCEmizK4Hm0sp51U/fgHAc45pTwAYLoQYBuAdAMcD+HpZPhE3K15+GfPGnosVzz+PvkccgU1/8mP02NBVKeJHSolbnpiN8+98Hhuttw5uOWVvfHLoRiV5TAipl1DksO8wjH2EIoeE1Ez1CVK6+GBt2QWmIKBKC9C6I3j3SxhPzEKQ1XHhzhyAG+G05dvDPe7dzyVumLQmadz2O48vOexmIcveddOAbIbSMhc8T/xrev5UlIChbTan3azZBFlFCxVZswmKFC0sLiPAfF9GFkHDuh50rYSCUjUKLhVCPCuEeAbA5wCMAQAhxBZCiLsBQEq5BsBoAPcBmAXgVinl8yX6RDTkmjVY+PvJePNLX8bqefMwaMIEDLrs17mDBB+vWosf/PkZ/Oivz+JTwzbC1DP2Y5CAkDbhoKEH4frDrw9FDh9464Fmu0RIWxHWlObSFJD++cqu+l2bd702P0S3m+iXPi796x3jTlspa5JsxfxVn+Gel8mu+izj17L4kkgWuzVg1CzXewix7mVdaPX7RdqSoobAg+6L4Vf2L1yrLoHXH8uu4aLQdQ3iGgd5ggQuLQG9fj+TdoE17tMC0DURsgYJatEhCNfn1B9wze/ZsRY9O9aiU0h0Nqz8oIBXi1BaRoGU8pue8bkAjtA+3w3g7rL8IG5Wvvoq5o49FyuefRYbHHooNrvgfPTYKP/h/vUFH+G0G2fgpfeW4syDhuOMg4agF45aAAAgAElEQVSjs4OlBoS0EztstAOmHDkFZz50JsZMG4PRu4/GqF1HsWyIEEIIIaSbUlqggLQmcu1aLLr2WiyYOAkd662HQb+5DH0PP7wmW1OfmYdzbnsGPTsFrvvPvfCZ7VjfTEi7QpFDQmpEexBZ+ag9nfOVGBjLZfh4UMj0UoTU9WnigNDKBNQFj0BfmsihM2Vet+X4zrWUIRhfoJYyBDUsHd87ZY2Oc709noS2xms3I7WsaTpG3n1tj02NJ/w17JtVwFB4fM0kYGjP841btmopN6hVtFAfd42liRbWWmqQuj6hdCBviUGnaEynA4VA/RlErQYDBd2Ila+/gXljx+Ljp5/GBoccjM0uuAA9Bg7MbWfVmgDj75mFax99E3sM6Y8rv74ntui/bgkeE0IaCUUOCcmJlhZun2srY9mCBjXpFxgH8pT1jgN5UhBBnxetl9XxSLsgZiNDECBrkMLuhuBco/turXF+QZdPvsNijgBEbF3eNa71eahhTS6f6qFW+xkP9P69Ek5sNQUOMgQIXEEg5/q4rUYFCbJqEdTa0SBNhyDfGlOHIGtwQP8ejdImAICwJKwLUaZGAWkR5Nq1eP+aa/HGF76AVW++iS1+9SsMmjixpiDB3A8+xtcm/xPXPvomvr3vMNwy6tMMEhDShVAih5cfcDle/eBVjJw6ErPen9VstwghhBBCSANhoKCLs/KNN/DWCd/E/Esvxfr77out7/ob+h11ZE21x//38gIcOfFhvPLeR/jtN/bE+UfvhHV68F8hQroiFDkkJCOBBIJIVFAXpBLayxYgDEmZZ9itIoIM+wCJPumiWeEYfDa1vZNEDq3vZVxzfF99P58fqWugPci1fXDs7RxP8deLz/ckHD4mznX5lLimReoRanAjs+tZsw0MYcJsAoQ+AcNwWoZsAiFkTLzQtcb+KZ4mcghE4oXqmhLxS5rnEiC0MwZs0UL9mjHP99L80EUJ865JEiw0/YjmKaHCTut7xGxk/o+odvS/N+t5tQo85XVRZBBg0XXX4Y3jvoCVr72GLS69BIOvvAI9Ns6fQrw2kLjs/pdx0rX/xqZ9e+PO0fviiF02L8FrQkgroUQOh/cfjjHTxmDyM5Mhu1haHSF1ow5+VsAgLWiQdZ4iNi+IXs4Da0Jgwpxn7m3Pc+4tZRQwsPaG6wXrB3CW/RzjSddi58WUvV3zUg/+WQ/uWQMNGqUEGtqBzAf9+MHaNS/1BiXoCpjz3Idq9dndJSEejMh78Lf3c5Ub6EGCTPO0Q7IeNHAdwu013o4E+ntk62SQ1qEgTzeD5OBAZKsT5qt0fH8H5n21CNQo6IKseustzD3vPHw8/Un0OeAAbDZuHHpuuklNtt7/aCXOvPkpPPLqQnxpz8H4+XGfwLrrdBbsMSGkVRm47kBcc9g1uOCxCzBp5iS89sFrGLfPOIocElJFP4BKgUrAQF3TugDpv/0y6RKo2nYpwyet3nnVMlxb8DCq65fJGgmWHoDXFzU3PCPJimaBmuyZF24EeAUXU0UOq/YTBRB1x9N0EOCwk1OvwLVfuIfDnv3dM+1XB/b3LR3Xwdv1PTMe0NP3y3YteytD65LnwJ62R+zrphz8s8yzr9tBgizaA7G2hp4Agb02rxZBVqFCW4PAnleLDoG+ptO6RvLDQEEXQgYBFt94E+ZfdhlEjx7YfPx49Dvu2JpbnE1/cxFG3zQTi5avwiVf2gVfHbEl26UR0g3p1dkL4/cbj237b4sJMyZg9tLZFDkkxKKsA1mrZJI3nXa7v/xzq8D7Wypl/SxvRJp+V6Sr3TYGCroIq2bPxrxzz8PyJ57A+vvvj81/9lP03GyzmmxJKfHHR97AL+55EYM2XBe3n7YPdt6iX8EeE0LaCSVyOKzvMIx9ZCxGTh2JSQdOwo4Ddmy2a4Q0F6UHUD25GL8TrewC/5P7eHaB+8G1epQvYt0WgEpmQZhV4NujujbXU319D9hro6tS610Ye3quGXBnJ7iftseeivuuyejQJPU9U7IADF/S9rBwrtVtJO2flYS1ifu3Ggk+pvnva1XosJRpf1eGQVLbxXrbINo2XIfwWrsb1NL6MG4nIQsgIQshS6vEotod2lkEPjudCddKR8L4O78rQI2CNkcGARZPmYLXjz0OK2bNwuYX/RxbTv59zUGCD1esxqk3zMDPp87CQTtugr+dvh+DBISQEIocEqIhEdMEEMaY9sqgX1Cxadpx1s0nCSNm1C4w9zT9ENo6tdb5nbW1lXnSvac+rya71lrfHsqu/sG+Zu9hz3Xs4bSVsNblk3N/z/Wka97rLn/t60nXyjrf+OwaugKe61muxfL8o7EkzQD3WvehO2bL4bsvSFBZF12zD/Z5tAvyBAl8GgW6YKFL5DBRlwAp+gP2y1FqoOsH+O3GhQqz6hDErlkvkg8GCtqYVXPewdvf/g7eHfdTrLf77tj6zjvQ/0tfqrk84IW5H+KYSY/g/lnv4cdH7ojfnfBJ9O3ds2CvCSHtDkUOCSEkmbYrRWk3u4S0InaAuNZXi8DSgzZESokPbrkV8y+9FACw2bhx6P/Vr9SlH3DrE7PxkzueQ//1euLmUXvjP7baqCh3CSFdEIocElI9A2kPGSsftad8toBgitChq1TAVdJgpul7hAoFkkUOrZKJcK2ecm9/13Cty4/qnlW7ZZQhxD67rim7ju2SSgpiPlrXQh8d2LYMbB/ta0i53uSDdlpgIvF6kb4nPg1OOVkl+JH00zmPgKH92b7me/rv2istk0C3l7fcIKn1ofOf3pKAdNFCVwlBut3AWWaQVbDQuCYkOtBYMcOulrTAQEGbsXruXMz78U+w7LHHsN6n98YWP/85eg4aVLO9j1etxfl3PIc/PzkH+247ABOO3wMD+/Qq0GNCSFdFiRxu028bTJw5EXOWzsGEAydg4LoDm+0aIQ3DOBjDfdivjAvzOOMIGjiDAZ4DfaHaBdXThxEcyHiIj53Tw4O4DO9J7m4IiM93BSqQ4JcvgBA7nOvBBVdAII8t13xkvJaXxH20m9pKpPmTx99UXQP/Id65NqXswPfZacqw5Q8SJJUlhGM5yw1ctpQN+3qStoC+rl4tApc/SR0NbA0C226SDoEZZGiwRkEXhIGCNkFKiSW33Yb3xv8CUkpsduEF6P+1r9WVRfDGwmU49YYn8eK7S3HGgdvizIO3Q2dHUf8PRgjpDgghcPKuJ2Prfltj7CNjcfxdx1PkkBBCSFuS2EqxG9GBcu5DWXZbhi5WhkmNgjZg9bvvYvaoUzDvxz9B7513xtZ33oENjz++riDBPc/Ow9GTHsG7H67Atf/5Hzj789szSEAIqRmKHJJuS1B5CSlNMT8JSxzQI2YIVLILHGKH9nqFsd6ek1Xk0LAlo8wF2z/1Wbelj2nfw/5exj3R94O1VlsvtM/GfI8vOi6/0oQNvVh+pM0Xlm/2Z9f8XLTL+SNNpNAiqXRBF/cz7CftncMX27av84DPlk/AUK23uyVEooVxkUU7U0AJ97ls6fs5RQ8d5Qb2/EQBQ7ivOec655uCgh1CFyLUbZmChaFooWu9yCZY2IEgegmJTgTGq2z0v7PrebUKDBS0MFJKfHDbX/H60cdg+fTp2PTHP8aQP12LdQYPrtnm6rUBfnbXCzj1xhnYZpM+mHrG/vjc9psU6DUhpLtCkUPS7ZDaYdgKGLiCBvZB3j6QG+UIrsO6az3gOUT7AxNpHRGcgYbU/Wxb0aXEbgjW+th3R3xupvX6fDjOi1mCE/rchP0Sr/nWJ8zPe1ho6aBDzsCBc35qREeb6jiEp3Y6sAIE6lCeasuaE3USiK7bqe+usoQOa71Lk0DZsg/9ziAAoper3MB16A/nIOGavd46/KsggTFfC3j4AgR2RwN9vbujgRY8cAQHosBCYPnG3yN5YelBi7L6vfmYd/5PsOz//oF1R3wSW1x8MdYZMqQum/OWfIzRN83Ek28txkn7bIVzj9gR6/RgrIgQUhwUOSSEEEKICz0Q0OVICwi2IQwUtBhSSnx4551496KLIVetwqbnnosNT/gGREd9B/qHX1mAM29+CitXr8UVX98DR+26RUEeE0KICUUOSfdBamJ6lTcyiB4Big6pzRSW5l31KWJKZwS/cKB7fSaRw7SOCAD0bgpZxAzDObo4oWbY2w3B2Fx7b30p2/+8643P+nzfNc/60I+MHRDsz849krDmp+3fEOrdO1fGQJb1GebolxzX0rIQ8ggYAvFSAldZQ1InBFdWQlbxQtdce05SJoFrbmwMbkHCekULs3Q0sAULjWuwMhIaGJgQiP6e6yowUNBCrJ4/H+9ecCE+eughrLvnntji4ouwzlZb1WUzCCQmPfgqLv/7yxi+SR9cdcInsc3GfYpxmBBCPFDkkHQbwh+GquuBFhwIRFjkaXQBQHTYSOuM4GqjaB6cZXiqiB/O0/fwdUSwOy4kBgegBRC02+E+3Hu6IZg3xRuAMG5E1gN9FC+JvrtjvrfrgmdN4qG/gKBDTTRiD5sSUrrTtQnqDC4AMb+z6CHYugSJugZIDgDY13VNgnDMExAQnsN7zKajfMC1Lkvrw6TOBlnaI9ptD2vtaNABX6tEe37QePHELpYwwbzzFkBKiSV/uwuvH30Mlj32GDY55xwM/e/r6w4SLFq2Cif96Qn85oGX8YXdB+F/vr8vgwSEkIZy0NCDcN1h1wEARQ4JIYQQUjiNECrsjjCjoMmsWbgQ744bh6X3P4B1d9sNm48fj15bD6vb7pNvLcbom2bg/WWrMP6Lu+D4/9iyri4JhBBSKzsO2BE3H3UzznzwTIyZNgan73E6Tt7lZP6dRLoE8af2etaAdJYiSO3Rtl0qkFaKEI5ru9kZA845VkmBkSGglyHYGQLaGgCpZQj65zxZAL4yAjtTIbX0Qbeh7IrYsJlZkOCXb07dJQU2Wfcocs8ySSkvKCPDIU14sDJWy5p8du0sAJ/AoSubwJ6TNObqbmBfy1Nu4JwTKxFQa+KihUlzXKUGdpmBy6653pWBYJUe6OvR2NIDgKUHpCCklFh6zz1496c/Q7B8OTb54Q+w0UknQXR21m332kffxMV3z8Lm/Xvjr6fug08M6leQ14QQUhsUOSRdEgkjPb8yZJ5WY6UIQEy7wDwsR3nyscNzNWjg0y7IXi7gOfgXUIaQWJYQrokHTNJS9NPKAjId3F0H7RLs1lTGQFKDC+45KZ8z2k0rO3CaTTi4Z53j6nAQa5Xo0DKwywGKKDdw/hO23fhhPWlOpzWnHi0Cu8zAnBvEfOmsdkloGBK5K2JaHQYKmsCaRYvw7rifYul996H3rrtii/EXo9c229Rtd+mK1Tjntmdw97Pv4pCdNsWvvrIb+q3bswCPCSGkfihySAghhBDSHjBQ0GA+vPc+vPvTnyJYuhQbn302Bnz7PyF61P/H8OK7H+LUG2bg7UXLMfbwHTDqM1szrZcQ0nJQ5JB0NaK0fTOzAFDZAWYpAoBYOUKSyKGrlMAncphaxuCxX2gZQo4SAQFZySpImKOMuYURzYwLpzAiPJkC1hZ1CyYm2clbxuCim2QgOH+6xsbMx7bZygVceyXbKc6uu8OBnU2QlDmgxlqx3CBNtFBfW49ood3RoDLXzCQwSg9EYOxTPhLoYqUHFDNsEGsWL8Y7Z5+Nd846Cz033xxb3fYXDBx1ciFBgr88OQfHXfkolq1cgykn741TPrsNgwSEkJaGIoekyyArPw5FUD1kVz9DyspBUvusUlOFlOELgfU5nANjvXH2kKiUIahShHBuNMXY2zFHty+kdb0aMIi+k3Zd/86WT67P0RrfHBnV9brmqHH7c9Y5sXui3QOPLXt/UYNPrjWuTPpayeZjk38LutL5s5QXNHA/IazDvmNNzISQTt0BvQuCa44aT9zfOUdmChLoB377s1qTOqcaANCvdVRT+I2xmK3A29lADxJ0Qhp6BMpup/bqQBCWGqhXp/1ZBGFXA6VF0BnaC8IgQYc1Vjb636X1vFoFBgoawIf334/XjzoaH97/ADY+60xsdfMU9N5uu7rtrli9Fj+67Rn84M9PY48tN8TUM/bHXsM2KsBjQggpHyVyOLz/cIyZNgaTn5kM2cWi8YQQQggh7QhLD0pkzeLFeO+ii/HhXXeh1047Ysg1f0Tv7bcvxPZb7y/DqTfMwAvzPsToz22LMYdsh84OZhEQQtoLJXJ4/qPnY9LMSXh9yesYt8849Ors1WzXCMmECFT6fPVJolZWIDvs9H8VCDPLEZydEaoih+rpkq+UwO6KoIfajDKD6mNLIV3p++oRu3Cn+Gsih2llCNnEDLU5yleplSHAUUaQy1aNwobIMS9tvyw/yTL4Fd6HIn7iufYrkiLtxlImat8r7Ym9a8z3uUgBw6ROCa7OCPpae14R5QZqrl1KkG7LX25QpGih3dGgslZdD8I9DL8arS7YxR52MFBQEksffBDzLrgAaxd/gIGnj8bAUaMgehYjLHjvc+/ih39+Gh0dAtecNAIH7rBpIXYJIaQZ9OrshV/s/wts239bTJw5EbM/nE2RQ9I+SFk9x2qn1yoiEKF2AYDUzghSCKgyXJd2gbcNopqmaRfEDurWWhl9MFs82gEFNUfTLjCDATKyWcuB3vDDDJIYc9I0ByxbISkH7/ifWsoeaQEIF1kCFVkp+7CfkXoCF7G1uWxlO9DHcB7ok/0Q4Tx7D4d5zxz7wJ+1DaJTe8DQNJDxAIQraBA7+HuCBlYAwNWdwBVEANytD+21riBBXi0Cu6OB4YOlhWDvqdssDRn9PdlVYKCgYNYuWYL3Lr4YS+64E7223x5DJk9G7x2LEelavTbApfe+iD88/AZ2G9wPV35jTwzecL1CbBNCSDOhyCFpSyQqB/uOap29EMbhHpCxDANAO1QD1YN29XCu/RCWgYi1UfQe0HWfMrZQFBJVf8Pty80ugL4HQgOuPaIBbcyMrfjnOb9vxrU593AecNV49Z92cMGXIVBX5kCtQYeibfjIWHSddnA30P11zfOszSpYGHPFc6B3zcmiS2Cvdx381Rw7QGCvtXUHgPqzCGJrEekVKOzWh2ptLYKF0Rp7XnLbw6QMgsrn+Hch2aFGQYEsnTYNrx91NJbcNRUDTzsNw/58a2FBgneXrMDIyY/jDw+/gRM/PRS3fu/TDBIQQrocFDkkbUu7iQiX5G+z9fNy0w5p+I2gyUGC/HZLMttmB0rXwb9wuyWl73cU+JS/EUKFmTDEa+t4tQjMKCiAtR9+iPfG/wJLbr8dvYYPx+DfXYV1d965MPuPvroQZ0yZiY9Xr8WE43fHsbsPKsw2IYS0Gkrk8MwHz8SYaWNw+h6n4+RdTmY3F9JyCFQyCWQggDBbIELCfJytsgtyaReop/cyKkUw93C3K0xqoejNSMhYhqAbjWUq6L6oJTmzCFxtE10p/5nLG9LWqs+IU3NGgCsLwUfWp/l55mXcO3Z/6iWrrTyH2oyZBllKBLzjGcoJXGvTtAvskgPf+izZBbHOB74shBrLDSrv45oErvaISeUG9lN9fQ89k6AWLQJl0y41cJce6NkNDQoktM4ZvxAYKKiTjx5+GPN+/BOsWbgQA753Cgaedho61lmnENtBIHHlQ6/isgdexrYb98FVJ+yJbTfZoBDbhBDSylDkkLQNSqNAlRgYmgQqWBBOrownaRcYB+RkoUPALBcwSxoQCR12mGUE3pIB5bRl1y5D0PUKYgfv1AAE4LgljkN/9btqwQrX+nr0CvT9naUGWda7xn0H9TzzXOOWjbrKFRLsFoqs/uGXEEBwPv13BgHcNr2ChSnzfEKDrpICwK9L4Ns/qQ2ibsN38E+bp+zWW27gFCb0lSEYdoNELQJ9f1uLQO3hLz1w6x10tkrGQZvBQEGNrF26FO9dcgmW/OU2rLPtNtjqiklYd5ddCrO/eNkqjLn1KUx7aQGO230LXPzFXbDeOvzjIoR0HyhySAhpW9qtpKHNSg/KKhFg3lqFdig3MOy2SCBAtFDZQBHw5FkDHz36aCWL4L33MODkkzFw9PfR0au4p1wz316M7984Aws/WoWfH/cJfONTQ5hySwjpliiRw2H9huHcR87FyKkjMenASdhhox2a7RohFaT5FFLPAEBHTNoweucTObQeZ6d2RLDKBbwtFDvMMgK7ZMDcLW7XVYagCxu6SgTyZxFoPoU2pJFBYX4xt93E8ghr3C4/sM0b3yND1oIrlT/Pk39fKUC9JQKFlxgURWafPAewjOUFPqHBvGUMRQoY6p99bRDt7gfeTgdwzyur3CDWwcA37sgkABB/8l+CaGEnAqfdUmGgoPuy9qNlmH/ppfjg1luxztZbY6spN2Hd3XYrzL6UEtc99iYuunsWNu3bG7edug92GdyvMPuEENKuHDz0YAzqMwinP3g6TrznRFy838U4eOjBzXaLdHckwq4HCuMsqmkXVNL3q4d+vSJeCC2V36VdUD2gaz909Y4I3haKdtcCqwxBP1PnLUPQv79dhhAdtj3BBWM/X3DAcQh3BRcSxr2HcyuYkBbMgG88a7mAdIyhgIN7WXbz4nuyX68PvvWu7+z1wT1eT6eDpHGfXkAWXQL9s69UwdvpwDr8Z7eb3AJRb38YXXOXGzjHhYy1PqzMj3c28LU+dOkd2PsZ+gYIDDsujQOSHXY9yMiyf/4TbxxzDD7485+x0Xe+jWF/va3QIMFHK9dg9JSZuPBvL+AzwzfG1NP3Z5CAEEI0lMjh8P7DMWbaGEx+ZjJkF4veE0IIIVkprUSgpIN1WaKCLdH+UAWOi3i1CMwoSCFYtgzzf/1rLL5pCtbZaisMvfFGrLfnHoXu8dK7S3HqjU/izYXLcM5hO+CUz2yNjo5GhoMJIaQ9oMghaTXsrgfGNWQROdTGdZFDIcwn+YaAYSRyKDriHQIqb91P9FUZgi1uCGQvQ3B1WTDKEMI9PVkI+n7GfO0GGfO17wh/FkCuUgf7y2toX8sc9z2td9mpJfPANd6F8GU6eKtrM5YFFDnf1+nA14XA5btwCAvmETBMGk/KGvB1OrDLEir/jJcbRHaKKTewswlcmQRqb7urAeDKHIj2yyJaaIghNuD0rbrgdCUYKEhg2b/+jXnnnYfV77yDjU46CRufdSY6evcudI+/zpiDc29/Fn169cRNJ++NvbceUKh9QgjpalDkkLQUCV0PAO1Q7NEuiKkYaC0UK+tVKYB5Gg21C7QyBN1eahmCpVkQrslRhmB3WTCCBVmCC9AO5Cm6AkbZRo4SAW9JgjXfG6jQ98ioPZBbZ8ATsMgVgGgncpYKOMM2OYMO/nF/eYEvCODrQpA1yJBHl0Cf7+um4OyA4NUuyFZuAERBgqLLDWzdAF2LQNlWvrhLD9ytFV0lDB3hta51gG8UpQQKhBC3ANi++rE/gA+klLs75r0JYCmAtQDWSClHlOFPXoLlyzH/15dh8Y03oufQIRh6w39jvU9+stA9Vqxei3F/ewFT/v02PjVsI0wauQc26VtsEIIQQroqFDkkhBDS3Skr5b6sg3VZWgEto0HAjIJ0pJRfU++FEL8GsCRh+ueklAvL8KMWlk+fjrljz8Xq2bOx4YnfxCZjxqBj3XUL3ePt95fj1BufxPNzP8SpB2yD/zpkO/TopFwEIYTkxRY5HL/feBw09KBmu0W6DRJpXQ8UPpFDK58A6ulppQwBVimAlsofPjGXWjaD+eQ9sQzBEjesfpv6yhAAU9zQ+HKOLATAv7d2PVcpgWPcW5KgrYllC+huZ7Vlf5G0PRIyElzjiXhLGrRUkLLwlg4UuGfusgJ/poCv3CSPSGHFlnvrogUMnSUFSOiA4B03D9NllRu4nvbrnQ3U3rpoYTRfwt/pIJ9oYQeC0K+ytBFiMFCQHVHp6fdVAAeWuU8RBB9/jAWXX45F1/83eg4ejCHXX4f199qr8H3uf+E9nH3rUxAA/vitEThox00L34MQQroTOw7YEVOOnIKzHjoLZ007C2fscQa+u8t32VaWlI9E7IehLyBgzzFKFcJDvNb2EPEWikYZgqFLILX9ELNllCHAOvjXUYagrhk2tYCBKkPIfHDXD/r6zTKuZdMrMGz6ygCsNXXbcq3LU1aQgrd0oRZ8gYVGkVOXILzsOrSnBBHylB2kdTrwlQUkBRlq0SVwdlBI0D6IBRQ8QYCkQANQf7mBHSSwyw3U3llaH9qdDfQyBtue2qMDZsAjCi60SMZBm1H2Y+z9AbwnpXzFc10C+F8hxJNCiFFJhoQQo4QQ04UQ0xcsWFCok8tnzMAbx30Bi667HhuOHImt/+f2woMEa9YGGH/PLJx8/XRsNWB9TD1jfwYJCCGkIDZeb2Ncc9g1OGLYEZg4cyLGPjIWK9eubLZbhBBCCKlSVpeGlig9kGDXA4UQ4gEAmzkunSelvKP6fiSAKQlm9pVSzhVCbALgfiHEi1LKf7gmSiknA5gMACNGjCjs37IP770P74wZg55bbIEhf/oT1t/7U0WZDpn/4QqMvmkm/v3mIpyw9xD8+Mid0LtnZ+H7EEJId4Yih6QpBHBmDQCOzAHrGtR1R4lCWIagsg0CU+BQGj+4VeZAhjIEKxM9cxkConVJWQfOJ+tS/17SfMSboVwgfi36Xj5hwzTfsz751yowMpcUGP7nLStodqZB4kYNWpO2LqdgYeWa/79R13VfpwN9H5+4oMuPLAKG3iyChHHnNU+2gJ6RYJYzBFrpQDxroIhyA7s0wC9UqJceZO9s4BItrGQhxG2VCbseVJFSHpx0XQjRA8AXAXhVAKWUc6v/nC+EuB3AXgCcgYKyWH+/fTHgu9/FgFNOQWef9Qu3/9hrC3HGlKewbOUaXP613XHcHoMK34MQQkgFihySRpPUHhGwAwLqgxkYcOkaVMIERhK+0RHB7CIQnVgzlyEktE60x43SBZEcTDCu6XoFiK47uyZYa/2Bhvi10MecZQGpgYOEcd9+iSn9SUGAMkoBagg61JXwFCgAACAASURBVEUNeyVXiPkPXWnaBHlbKCat8XU60NcktUPMqkugX08LADjbI3qCAL5yg/AQnVDSUG+5QawLQQ2tD5VdO+gQ7eHWItBtsetBbZRZenAwgBellHNcF4UQ6wshNlDvAXwewHMl+uOks08fbPJfZxceJAgCiSsfehUnXP0v9Fu3B+4cvS+DBIQQ0iAOHnowrjvsOkgpceI9J+Lvb/292S4RQgghpCsjZTGvFqHMQMHxsMoOhBBbCCHurn7cFMAjQoinAfwbwFQp5b0l+tMwPli+Ct+57gn88r6XcOSuW+DO0fth+KYbNNstQgjpViiRw+H9h+OsaWfhD8/8AbKF/g+YdAEkKin3Uka1pZ4ffsYca55Q12FeF7L6yFv9a6vma+uNB2XafGM/INpDVh+6aj9IRTiGSlZBYP13IvU58WtIuxbA/B6av8bePrvO+56Q5ivh3s/+rl67brNJ5dUibV3KWi9Ja1PsthKJpRGJNw81lSEAlWwFV8aCyhBwLVVrksoOfE/8k9aqPV0ChmrcZVdlCvi6HISvWEZAEGYTqPX29c5q+YB+Ta3phHRmE0RrAsPfTgRhNkGnCLzZBC676rPKANC/l7Kr7KlSg2iPIBQtVKUGui3D39LLDwoKErTQ75TSuh5IKU9yjM0FcET1/esAditr/2bx9OwPcNqNMzB/6Qr87NidccLeQ6m8TQghTWLj9TbGHw/9I85/7HxMnDkRry15DeP2GYdenb2a7RrpElQP1R1WiYHCo0tgzEtpoWhoFuh6AHWWIbg0A+wyBNGh2418TCod8F7TyhByaR+kXItumNuuWg/1FXJcC+0KbU6etcr3GssNUtcmrANSDufNIC39u4aygMq1FLOJa6V3TtI1Ne4rH/B1NgDy6RJk7XJgXgsS7LpT8dW4ChIUWW6g7GcpN3C1PlT3IXof72zg0iLQ/W0JscM2pNT2iN0JKSVuePwt/PSuF7DJBr3xl+/tg9227N9stwghpNvTu0dvXLL/Jdi2/7aYNHMSZi+djQmfo8ghcSOE6AQwHcA7Usqjmu0PIYSQNsCVVdXmMFBQAMtWrsGP/vos/vb0XHxu+41x2Vd3x4brr9NstwghhFQRQmDUrqOwdb+tKXJI0jgTwCwAfTPNVin+6om9fimzyKE2J3y6b4okRuKGofXKeCDMbgha1oHaxdUNISZuqO0dmq+WIIgOn+igls0Q+/JJ16J74NvbK15o7I8oa0Jbb2RGONYbc3JmJxjfIS1TwGdf7d9IYUPbflm267Wbtj6lhCFNxDAtMyFvp4Nsa/0ZAgpfOYO+pzOLAPq1+FNzUwAxMDIJOrQn+rp4ob13Ld0NALd4obvTgb6/mU2gd0uwMwmitW7Rwg5NALFRXQ9aqbVhEZSpUdAteOW9pTjmikcw9Zm5+OGh2+OP3/oPBgkIIaRFocghSUIIMRjAkQCuzrxI1ZSq2n6fLoFdf5o2x3HN0DKQ6lXRLBDhHC3DO7SlaRR4NAuUxoC5HmHAwK8lIMN1hi39vsrIln2W8e5t7JGiLVD9Pt6afc23JO2CVC0BZJiT9EAxwx5pmgNp5fyN0Cyou6Qh0/qkA336l0xslaheKSUJvm4Hoa5AQtmBOtQnrq9BlyA2J8P6Du3AHs7RdAF0TYLK+kgnwFffr2sJ6PoBACL9AEuTwA4SGLoG0A/7kSZBTItAvTRNApcWgQoShPMcOg0kHQYK6uB/Zr6DY654FEs+Xo0bvvspfP9z26Kjo9UKwgghhOhQ5JAkcDmA/4eE50JCiFFCiOlCiOmr1izXAgWBGTAIosN+eEBPEDqMzQGqQYAgds0Q8ZPaeA0ih5GN6MAeWw+E38k49DsCAkq4ULdlUJ0TChy67rFrD+P76Hu47aQFFmx/k+ZkCg7Yc6R5Pe1sm2VOqRS9t5724brsERo0JyElgyAlIKAO6hnmKDuBIwqSVcDQF1jQswl8wYlkYUIZf1XnKH91jQFfAEEJF0ZBAleQQdcbkEaAQD/Qp4kW6poEviCBYdMQKIxEC6NDvyZsCH2PwMh40O3oAQI1VjZC+/u8nlerwEBBDaxYvRbn3f4szrrlKewyqB+mnrE/9tmGta6EENIuKJHDw4cdjokzJ2LsI2Oxcu3KZrtFmogQ4igA86WUTybNk1JOllKOkFKOWKdzPd1AWY6VY7ekX4ClCeiVZLfd/C2NdrsPZf1nUVK0pqyn2bq/Rfpuix0WhUsksRC7rZLzz64H3ZvZi5bjtBtn4Nl3luCUz26NH35+e/ToZLyFEELaDYocEot9ARwjhDgCQG8AfYUQN0gpT/AvkWHXAyeWdoGr04FObI4Q4Y9G+1pUQy+0p7bZuyEoW6JDxur7K5b8GgP6w2JX9wR1Ub9m+KLsBIDU749LrwCm5kBy1wOp7kK69oD1nex50eY1zsliQ59b55zwz6SVAhRZfMlURpAhHSOjjSSXfKUCtp20Q79ux9d9QP2zFl0CfY6dSRCfoz9xd+sY6N0IdE0C25c83Q3s99HneHcD/Um/3d3A1iKIfI40CXxaBLotW3uBZIMn3Bw88MJ7OHLiw3jz/WX4w4kjMPbwHRkkIISQNkaJHF52wGV4ZfErGDl1JF5c9GKz3SJNQEo5Vko5WEq5FYDjATyYHCRQC4OYNoHx8pUhRBunlyEkXMtdhlCdp9vS9QoUsTIE9QpkzJZeauBNoXfZshAuO4nz0lP200oH8thSgYbUjPk0O8pWhnlFliQk2sq7R6GOIcNNRbXUQItS2VOqJQRZ2iX6ygRkNdKi20oTMEwLMKS1QwRy6hJo2gPeeSo1X1tjz9H1A9xCiaZ+gF5uoFNvuYG6R0nlBnaQQNck0IME4f1R5QbqOzp0FgpH/f1YxKtF4Ck3A2vWBrjk3hfx3eunY8iA9TD19P1xyE6bNtstQgghBXHI0EMockgIKYyWerKfBfpbMVtSyn1ZdsuirEN1WaUdDetqkEhCwLiBpQdCiF8KIV4UQjwjhLhdCNFfuzZWCPGqEOIlIcShabYYKEhh/tIV+MbV/8JV017DyL2G4C/f2wdDBqyXvpAQQkhbQZFDopBSTpNSHpU+EdUfdoGz60Ess0DPAlCCgh6Rw6TMg7q6IVjzdFvezgH2E35d2FDDl4Xgmhc+xc8obJiUYaDPC79Twlxjfhp5n/yn2cy6r5pb5LwmIEWOoEmB80IRw9TsguSsAd1eWtmBnl2QXjLg73rgm+MuLYiuRXN9mQZapwLtyb9O2DkgnGd2NwhtaQKBru4GZgeFeHcDXbTQ293AFi0M10rYnQ1sOyqbwJjXADHDFuF+AJ+QUu4K4GUAYwFACLETKtlyOwM4DMBvhRCdSYaoUZDA46+/j9OnzMTSFatx2Vd3wxf3HNxslwghhJSIEjk8/7HzMXHmRLy25DWM22ccenX2arZrpFUJNQqqP0ID7RmM/TgmiMYNjYFw3DwImLoEMJ40hesDEa4Typ5C6RsEAjKcI2J6AirIIAMBUZ0XqQo4DnrKjUBCdLh1DCp2o+leLQM1N6Negb6/0FxJ0hIwdAmS5uewa8g+JO1v2007uMoM38mym+mALUVxpQK1kHnvbPPCfy0y2BVCZrpFoY6BkInlC+paFk0DvdNBYvBAKznIpl0Q6QW4yhVcugQqQOCyqXcOcGkS6H5W7EdBBl3jwLTr1ySIdUrQNAeiNYGRKWB3Nwh91Hwyyh2MeQ36d78FHi5IKf9X+/g4gC9X3x8L4GYp5UoAbwghXgWwF4B/+mwxUOAgCCR+/4/X8cv7XsRWA9fHDd/5FLbfbINmu0UIIaQBUOSQEEK6J2WVCLRbN4WyUvnLeqrfMtkCxQUKBgohpmufJ0spJ9dg59sAbqm+H4RK4EAxpzrmhYECiyXLV+PsW5/C31+cjyN33RyXfGlX9OnF20QIId0JJXI4rN8wnPfIeRg5dSQmHTgJO2y0Q7NdI62GSt0Pswe0H6xBh7vI0+qGEJrSsgMUZuaAtqd23dkNQVf+l/FuCFJ/HK07UXVfdFR6FYR7KEE2CPOpeFV4S3SIbJkD0rJlf1EbKY15SU/lzQyGamZEwqNh/el90U/7Dc29TE/8s9k1fGkFXYE8PuScm/XQHmUCZJubdX5HOC9/p4O0EgV7XpqAYfheyw6Iz9U7AcQzD+y5UQcDGT7R15/8K3TBQV93g3Cull3QaWUneDsleLobdGrjap5aF2YdaKKF+pxoXvL9bWEWSilH+C4KIR4AsJnj0nlSyjuqc84DsAbAjWqZY37ijeEJWOOZOR/gtBtn4L0PV2DcMTvjxE8PhSirfzEhhJCW55Chh2BQn0E4/cHTceI9J2L8/uNx0JCDmu0WaRlkdGjXygoigqgUIaEMQZ1YhJTeFoo1lSGoK7GWhHrrw+h4L2C3SnSUIUBfi/hPTyN9Pz0gYBzuq/dEGqUZiOEuaXD44liXWn7g2CPL/NgeOYIDWYIUNZMzANEIcv+0riFokPX76sGALHvoegbZ5ps6BEkHVlfpQWLAwQogdKas8bVB9AkXKl0CX7mBbbuyJrkFYgBhdDeoXHOXG9hBgrRyA31O9H2jAETpSDSsY4GU8uCk60KIbwE4CsBBMhJbmgNgS23aYABzk+xQzBCAlBI3PP4WvnzVPxEEEree8ml8a5+tGCQghBCCnQbshJuPvBnb9t8WZz10Fq5+9mqKHBJCCGk6pZU0tFmpROmtDzMhARkU86oDIcRhAM4BcIyUcrl26U4AxwshegkhhgEYDuDfSba6fUbBspVrcN7tz+J/npqLz263MS7/2u7YcP11mu0WIYSQFmLj9TbGNYdeg/MfOx8TZkzAax+8hgv3uZAih90diXhNqv4bzxY5TClDANzZAe5ruh9aFoGvDMEWBwzXmGUIYcq+vYea4SsdqAobOp+MSzMLIa08IZyovlNaFoPTR7U+KqFIExzMk52gT8ksaogaShK0dXnXNIxafKr1IJrnnonov4vsGQmVf2YRKlTz1F5ZsgD0NbaAYer8FAFDc01cwNAuN3DtEXYn8JQbuPZIKzcI5+u2Cig3CPd2ZBJE373BYoatwRUAegG4v/rQ+3Ep5feklM8LIW4F8AIqJQnfl1KuTTLU7QMF015agDufnosffH47nHbAtujoaMW/gQkhhDQbW+Tw7aVvU+SQAEEAdHgSNG3tgtQyBBE/9HfEf+DaAQH98J9ahgBZ7YKg2QsPr1YZQnUPXa8gqXTA7oKQVD6g1rqCDnoHBCdGECH+Pk9JQZqP9r55gwnGZnnW2Gtr+HnacB2DmgIG+dcJgfAPMq/4oN7RIOtT80rngmhN1pIDNb+m0oOCdAl8HQkq3yteImCXG9iYJQbJ5QbmXvEgQdHlBrYeQaWdYvp9L5QWyDaUUm6bcO0iABdltdXtAwVH7ro5ttv0Mxi+KbsaEEIISYYih4QQQkhtlFUi0BIZAw3UKGgU1CgAGCQghBCSi0OGHoI/HfYnBDLAifeciL+//fdmu0SahZSVrAIp3a+g+pJa/WqQMFezK1RHhQCxuUK/rsY17LXh/Gq5hAiq4oG+J2ASxh76elF9JT09q1xHOD/yOxpPIvLPsT4DkY+m71nXmr6n+5u4Pie67zVRz9p6ETV+aQBhykYNGQYih+ChuVZqr3xrO7S1KgsgSw2+mqdnG9iZB9nWVp/Mq701sUGfv9H8INyvU39vrVcChiqDwP3etGWsrfqrxAvV/qrcQK1X45XvGISZApWsgCDqbqD2NuaY90+t0cc7IVsjmNBmMFBACCGE1ABFDklFvEod8oMoYBBetoIA4efACiA4AgvV9c6AgBUwcAYTdLRrerBABQzMQ7xjvbJRDRgkBgB0/523TFqH+MhO1gOye30NB+w6AwKhP5atWqg7OKDZaQnqLHkQoraggVojhAyX5wkgqIOlaomoyg6yHOJ132sJAoQ+GAff6BCuj6d9B3Uw1teHAQJNR8C3vzqUq6CAsmW+D5xlBuFa3Y5WbqCCBOGB3lFuoIIEeqAh3NuYYwcHdB+j+9CwQIEvYJz31SIwUEAIIYTUiBI5PHyrwzFhxgSc+8i5WLl2ZbPdIoQQQkij6WKBgm6vUUAIIYTUQ+8evXHJZy7BNv23wRVPXUGRw+6EeoKuP3ZJEzcEcnRDiB6nCilNAUMNX6eESKjPfCwrpCZOWBU3BADZoXcXkKEFARmzEdlCON/VBaFyLZ9ooJDRg3UlbJipU0KaLUTfW2T0xUC77VnFE7P4VasNg+hLtgxFCSmG2QX12gDC7AB9LK+dWjodKOxOBz4Bw1Q71bKDNAHDJFu2gKHyT2US2LZ8T+SN7gLCFB2MuhZE5QZq71q6G0Rzonulixbq31nPIqBWfW0wo4AQQgipEyEETtntFFx2wGV4ZfErGDl1JF5c9GKz3SINQLo0B1QZgk+7IE8ZQkopQZYyhNi4B28ZgvTrFSRS/V5Z9AoSyx7iN92zPv4+D6klDTUibJ8KemBYVLlCqSgnCwsaVGzWqisQtxfZ0TUH6rHlLDvIqF+gUPX7+tqoFCEKEqTpEgDIpEtgaAloaf4+v2xdgsRyAy1I4CpXqLXcQA8SmBoFeulFJUjQmNKDhAyBNs0oYKCAEEIIKQiKHBJCCCHdEAkzSFzPq0VgoIAQQggpEIocdjMCGWUVOLMCPJkFWbshaPPCJ/k6jqwCl/ihPW53QUh8ihXOM7spuIQNa37KbTzFtwQPq90Pwn1qRZrZEGU85df9LOVpf6tnECSguhMUrbgYZgEILUOgTptKxNDONLDf57ablHHgETDMajeLgGEkJiiNLAC/XbeAoSEg6Ohu4BIv1NH9ytPdIC5eaP452NkEUUYCD721wHtGCCGEFAxFDrsJ2mFeysBdhqAHDAoqQzBKCTw+pZYh6J/Dw7LZNjFXyr12yLfLAlT5QTytP+ceVbwBhbT3dWIHFow9UJI8gLVfl0GgxJtW3cIqUSiivMAm6ozg73SQtVuBdw8tgBBvhxil2+vlCnq5QRbsLgdZ2iD6yg28eyAw/Kq33MDX2UAvN1ABgk5ReZVOFys9oJghIYQQUgIUOewmKPHCtRIQArIjgAiqz2E6hPmjT6WU2mKHSSKHUkbifdo8n4Cht2hb80MAwFpUBAo7DFlDqMfVIhCQVbuiKgMI7ZPaW1TnKLFDIZEuYicjP5RdXQjRNS7WVi7IDhR3uFSHb2E+pNeFCmsWLZQ1zHftbdnIdH9rIa+/me2KMMKh/6sc3xxhRoB6n2hWinCu/j4PusaBCiAAUTaBPV4PgRRx8UItY0AFAsL3jvFOhx/KbuV9h1OvIBL30wQPbdFBj3ihLj5oixb66DT2i4sXqgBAOAfZRQsjv2T43hQyhGYnCg50Nkrls4UO+UXAjAJCCCGkJHSRw5cXvYyRU0fipUUvNdstUgb1qqo12K6vi0H9dksxW96T5zaz2373VwtQFbiHMOwWdzjrMA6dBdoVjbBbXG27fvi2xQfrQc84KNKuTvmihT5klBFW76tFYKCAEEIIKZlDhh6C6w6/DoEM8M17vkmRw66EXVZglyG4SgnylCGkzPOVGMR0CTKQqQwhRa/AVxZgdEAoCF+pQ7b3Dfwx7ti/VB2DLoKpPWB3PCgvNudCZQAYJQYw9QqSyg4K8wNm2UE9ugR2uUGkQ5DN3yy6BJGOQXnlBpU/H0+5AQQ6IahRUCO8Z4QQQkgDoMhhV0RCqkO/LloYRAGDEF8LRVcQQBc5TNIssEUOc7RNdK6pE5e4YU16Ba7xqqChLmxYCDntGId7VwBC2Qy0awVSmk6BtP5ZmN2SMleqfqpAQihkiOpHS59AP+gnEZSYop5HwDBZlyAKElTs1qZLkO5v7W0QwyCBpUkAmOUGeUULfUGCit2o3EAFCaKggUBn2ZEliTBIXO+rVWCggBBCCGkQtsjhtNnTmu0SIW1B+6Xcl2O2/e5DOZGNss58WbsM5LZb0n0ostygEXa7XrmBRRcrPaCYISGEENJAlMjhocMOxQFbHtBsd0g9VJ94yyCAUAKFStwQAAJAdlR+GAuhPZuxBQ5tccPqWqe4oXdeVfwuUCps5o9Nn/ihvaYeYcNmPH5S5y8JCVH1XkL7vonvJdQ3NkQLE9Y0ShONlIfKKlCZBmrMJ2Jov1fBBL1FYkyosMkH13oFDNWB3hYwNNaH41KbH2jzbWFCc32YEWBkG0jDd13M0P09o0yCit1IuFBlElTe8z/cWmCggBBCCGkwQggcNOSgZrtBiiCQQAcqJQhAJWCgdzeovo11Q/BhBBGgHb6DSrAAiB/Is3RDqCIc11xrKgdnLWxQDSbIDv1AHh2jBaTZBSGcFT/EqydmoiO504E+bgQBwnsKHtyLQr/h3Rh/Z4baKKLTQTSuHfphrtUP5R3GwT3qKKB3F9C1COLvTTvO9VoXgzzdDSrfKSo3UJ+zoHxULRDD9+q6Vm5Q+SzCAAG7HtQGAwWEEEIIIYSQbk9pJQ2llR60l92sQYH8dksxmw+lPdOFYKCAEEIIIaQGJFAVHIzKAjKVIdhlBHoGQiOl3El7Id1lEEJmLJvQsz+s+aVpHxCSAb3EICxdMMoQTPHCqGwhudwgGue/4LXAQAEhhBBCSC1ICRlIiA6zLCBfGYJmz6VXoJUVFKlX4LpWhF6BWi867Pr/eFkBAgnR4dIViOsNOMsSgmr5QdIcIPF9qLFglEpY9yrlvfoc+ivMDGT/wT2DLX1+M886QgsmqE4D1XE4xqUwP6vWhrE10Of43kdro9aIka1QcwDae+HWG/CNK30CQ7PA8V61RFTrnRoFcJQbOK8F3vFOY1wvBXCUIVTLDurVJYitRVCILoH6HoYOQUZdgqzlBpU94uUG4ftGBWBZekAIIYQQQgghpJmogELhdtusO0GrtPGTLD0ghBBCCCEAABlABh2VrAKg2DIEnYKFDZO6INjjeYQN9S4IhQkbMmu4KfC+N4fuImBYb7lBZY5ILDeIxlsllNBe1HXXhBBfEUI8L4QIhBAjrGtjhRCvCiFeEkIc6lk/TAjxLyHEK0KIW4QQ69TjDyGEEEJII5GBrAYLZPg+7IVdbZ0ogyASugrfV17Smh++1DxjTJ8XRHvZ86RpT0hZCSAEiM3zXbPHhRpryk2uZrFL5Yt6Xyk/EEHKnIT3CN9L7X00XtIDUNKCqFIEVWqgv++Aap8YlRLEXtU56deCMADgGm80qtxADxIov1S5gQoSVEoDgjC4oIIE0ZxoXK33BQmMPatBAVVuEH02WyDqmgS+IEFH9VUpQ1D/i8oQysPzd3Etrxah3vDKcwC+COAf+qAQYicAxwPYGcBhAH4rhOh0rL8EwG+klMMBLAbwnTr9IYQQQgghhBDSYpTV9aAlxAolomBuva8Woa7SAynlLKDSD9riWAA3SylXAnhDCPEqgL0A/FNNEJVFBwL4enXoOgAXAriqHp8IIYQQQhrBUixe+EBw61sllfPWwkAAC5vtRIvDe5QO71E6vEfptOI9GtpsB9qJsjQKBgF4XPs8pzqmMwDAB1LKNQlzQoQQowCMAoAhQ4YU5ykhhBBCSA1IKTdutg86QojpUsoR6TO7L7xH6fAepcN7lE63vEeydaLGRZAaKBBCPABgM8el86SUd/iWOcbsPIosc6ILUk4GMBkARowY0To5GYQQQgghhBBCui0SVc2aLkRqoEBKeXANducA2FL7PBjAXGvOQgD9hRA9qlkFrjmEEEIIIYQQQghpIGX1irgTwPFCiF5CiGEAhgP4tz5BSikBPATgy9WhbwHwZSgQQgghhJBkJjfbgTaA9ygd3qN0eI/S6V73SO9GU++rRai3PeIXhBBzAHwawFQhxH0AIKV8HsCtAF4AcC+A70sp11bX3C2E2KJq4hwAZ1fFDgcA+GM9/hBCCCGEdFeqZZokAd6jdHiP0uE9Sqc73iPVJrfeV6tQb9eD2wHc7rl2EYCLHONHaO9fR6UbAiGEEEIIIYQQQlqAsroeEEIIIYQQQggh3YMWKhsoAlGRCmgvhBALALzVbD+aQCv2I21XeC+Lg/eyOHgvi6O73suhrdayjzQHIcQPAPwSwMZSyu7434IXIcQvARwNYBWA1wD8p5Tyg+Z61RoIIQ4DMAFAJ4CrpZS/aLJLLYUQYksA16PSES4AMFlKOaG5XrUmQohOANMBvCOlPKrZ/pSNEOJeVH57FMFCKeVhBdmqmbYMFHRXumU/0pLgvSwO3svi4L0sDt5L0p2pHmauBrADgE8yUGAihPg8gAellGuEEJcAgJTynCa71XSqB7uXARyCSgezJwCMlFK+0FTHWgghxOYANpdSzhBCbADgSQDH8R7FEUKcDWAEgL7dIVDQFSmr6wEhhBBCCGkOvwHw/1Bp7U0spJT/W23NDQCPo9Kim1R0w16VUr4upVwF4GYAxzbZp5ZCSjlPSjmj+n4pgFkABjXXq9ZDCDEYwJGoBCxJm8JAASGEEEJIF0EIcQwqqb5PN9uXNuHbAO5pthMtwiAAs7XPc8BDsBchxFYA9gDwr+Z60pJcjkqwsmsV7XczKGbYXnS7NiMlwntZHLyXxcF7WRy8l6TLIoR4AJUaaZvzAJwL4PON9aj1SLpHUso7qnPOA7AGwI2N9K2FEY4xZqU4EEL0AXAbgLOklB82259WQghxFID5UsonhRAHNNsfUjvUKCCEEEII6QIIIXYB8HcAy6tDgwHMBbCXlPLdpjnWggghvgXgewAOklIuT5vfHRBCfBrAhVLKQ6ufxwKAlHJ8Ux1rMYQQPQHcBeA+KeVlzfan1RBCjAfwTVSCcL0B9AXwVynlCU11jOSGgQJCCCGEkC6IEOJNACMoZmhSVfa/DMBnpZQLmu1PqyCE6IGKmOFBAN5BRczw61LK55vqWAshhBAArgOwSEp5VrP9aXWqGQU/oJhhe0KNAkIIIYQQ0p24AsAGAO4XQjwlhPhdsx1qBaoCj6MB3IeKSN+tW2LSTgAAAdFJREFUDBLE2BeVp+UHVv/deUoIcUSznSKkDJhR0KawP3L9sI9yfbDXcnGwL3OxdLfezYQQQgghRcOMgjakeqg4BMDbzfalzbkfwCeklLuikmo3tsn+tA3Vg9iVAA4HsBOAkUKInZrrVVuzBsB/SSl3BLA3gO/zftbFmag8DSOEEEIIITXAQEF7wv7IBcA+ynXBXssFwr7MxcHezYQQQggh9cNAQZvB/silwT7K+WCv5ZJgX+a6Ye9mQgghhJA66dFsB0gc9kcuDvZRLg32Wi4B9mWuD/ZuJoQQQggpBgYKWhAp5cGu8Wp/5GEAnq50Z8FgADOEEOyP7MF3LxXVPspHodJHmQfd7MwBsKX2WfXqJjVS7ct8G4AbpZR/bbY/bcq+AI6pKlD3BtBXCHEDezcTQgghhOSDXQ/aGPZHrg/2Ua4d9louFvZlLh72biaEEEIIqR1qFJDuDPso1wh7LRcO+zITQgghhJCWgRkFhBBCCCGEEEIICWFGASGEEEIIIYQQQkIYKCCEEEIIIYQQQkgIAwWEEEIIIYQQQggJYaCAEEIIIYQQQgghIQwUEEIIIYQQQgghJISBAkIIIYQQQgghhIQwUEAIIYQQQgghhJCQ/w8+W2YEAyEFxAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This specific block of code is from GPSS 2018 Lab 1: http://gpss.cc/gpss18/labs\n", + "ks = [ # List of example kernels\n", + " GPy.kern.RBF(1, lengthscale=1.),\n", + " GPy.kern.RBF(1, lengthscale=0.5),\n", + " GPy.kern.RBF(1, lengthscale=0.25, variance=2.),\n", + " GPy.kern.Exponential(1),\n", + " GPy.kern.Matern32(1),\n", + " GPy.kern.Matern52(1),\n", + " GPy.kern.StdPeriodic(1, period=2.),\n", + " GPy.kern.Cosine(1),\n", + " GPy.kern.Brownian(1),\n", + " GPy.kern.Linear(1),\n", + " GPy.kern.Bias(1),\n", + " GPy.kern.White(1),\n", + " GPy.kern.StdPeriodic(1)*GPy.kern.RBF(1),\n", + " GPy.kern.Linear(1) + GPy.kern.Exponential(1)\n", + "]\n", + "# The name of our kernels (for the legend)\n", + "kernel_name = [\"RBF ls=1\", \"RBF ls=0.5\", \"RBF ls=0.25, var=2\", \"Exponential\", \"Matern 3/2\", \n", + " \"Matern 5/2\", \"Periodic\", \"Cosine\", \"Brownian: $k(t, t^\\prime) = a * min(t, t^\\prime)$\", \"Linear\", \"Bias\", \"White\", \"Periodic x RBF\", \"Linear + Exponential\"]\n", + "\n", + "# Our sample space - note the [:, None] notation is a \"shorthand\" way to take\n", + "# a dimensionless array and make it n x 1\n", + "X = np.linspace(-5., 5., 250)[:, None]\n", + "\n", + "print(\"The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\")\n", + "\n", + "# Loop through our kernels\n", + "for i,k in enumerate(ks):\n", + " # The mean function is set to 0\n", + " mu = np.zeros((250)) # we have 250 sample inputs\n", + " # Get the covariance matrix\n", + " if i is not 11:\n", + " C = k.K(X,X)\n", + " else: # We have to sample White noise kernel differently\n", + " C = k.K(X)\n", + " \n", + " # Sample 5 times from a multivariate Gaussian distribution with mean 0 and covariance k(X,X)\n", + " Z = np.random.multivariate_normal(mu, C, 5)\n", + " \n", + " # Setup figure environment\n", + " plt.figure(figsize=(18, 7))\n", + " \n", + " # Show samples on left hand side\n", + " plt.subplot(121)\n", + " for j in range(5 if i < 11 else 2): # Loop through samples\n", + " plt.plot(X[:],Z[j,:])\n", + " plt.title(kernel_name[i])\n", + " \n", + " # Visualise covariance matrix on right hand side\n", + " plt.subplot(122)\n", + " plt.pcolor(X.T, X, C)\n", + " # Annotate plot\n", + " plt.gca().invert_yaxis(), plt.gca().axis(\"image\")\n", + " plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IcCmu72l7kRK" + }, + "source": [ + "And to get our hands a bit dirtier, why don't we try coding up the GP prior with an RBF kernel from scratch\n", + "1. Hints start by creating a radial basis kernel function\n", + "2. `np.meshgrid` and `np.random.multivariate_normal(mean, kernel, number_of_samples)` will help" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "executionInfo": { + "elapsed": 424, + "status": "ok", + "timestamp": 1617137595178, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "WqwYVtue7euU" + }, + "outputs": [], + "source": [ + "def rbf_kernel(x, gamma):\n", + " m, n = np.meshgrid(x, x)\n", + " return np.exp(-gamma * (m - n) ** 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "executionInfo": { + "elapsed": 530, + "status": "ok", + "timestamp": 1617137624706, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Mjm_jthg7fw5" + }, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "K_rbf = rbf_kernel(x, gamma=1)\n", + "mean_rbf = [0]*K_rbf.shape[0]\n", + "data = np.random.multivariate_normal(mean_rbf, K_rbf, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 374 + }, + "executionInfo": { + "elapsed": 741, + "status": "ok", + "timestamp": 1617137626352, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "i2j1xwY37iEj", + "outputId": "40c27235-3141-4ae8-de9a-03ecf48b6d3c" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8, 6))\n", + "for i in range(data.shape[0]):\n", + " plt.plot(x, data[i, ])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dO1j82S56eh5" + }, + "source": [ + " 1. Generate the function that we will use for our exercises.\n", + " $$f(x) = sin(2x)+0.2x$$ $$y = f(x)+\\epsilon$$\n", + " 2. Generate some example data for the function" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 641 + }, + "executionInfo": { + "elapsed": 919, + "status": "ok", + "timestamp": 1617137649904, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "rekKo4NQ6lOK", + "outputId": "84962863-263f-49f5-c168-ea6b57711fbf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4887710706.031441\n", + "0\n", + "5021096825.494227\n", + "0\n", + "4560105708.0046625\n", + "0\n", + "3862328769.033446\n", + "0\n", + "3038922824.622094\n", + "0\n", + "3066707426.728513\n", + "0\n", + "3215149059.1714725\n", + "0\n", + "3366964864.5915136\n", + "0\n", + "3520068864.591514\n", + "0\n", + "3673172864.5915136\n", + "0\n", + "4832008508.496187\n", + "0\n", + "5009515406.140753\n", + "0\n", + "4528252446.44757\n", + "0\n", + "3781646936.0229383\n", + "0\n", + "2185988561.126784\n", + "0\n", + "2177137173.965812\n", + "0\n", + "2262395083.7880454\n", + "0\n", + "2412068647.7551045\n", + "0\n", + "2565172647.7551045\n", + "0\n", + "2718276647.7551045\n", + "0\n", + "5014313338.0192585\n", + "0\n", + "4942321693.297025\n", + "0\n", + "4411601256.301308\n", + "0\n", + "3664605893.52011\n", + "0\n", + "2055658977.4951804\n", + "0\n", + "1849443463.9718208\n", + "0\n", + "1936279864.8276784\n", + "0\n", + "2093789946.6527367\n", + "0\n", + "2246893946.6527367\n", + "0\n", + "2399997946.6527367\n", + "0\n", + "5024116703.924419\n", + "0\n", + "4952309879.937811\n", + "0\n", + "4554379991.108184\n", + "0\n", + "3679308865.2336187\n", + "0\n", + "2071940922.9389703\n", + "0\n", + "1861587733.8787637\n", + "0\n", + "1846823408.3428597\n", + "0\n", + "2053634256.1448483\n", + "0\n", + "2206738256.1448483\n", + "0\n", + "2359842256.1448483\n", + "0\n", + "5182514952.455671\n", + "0\n", 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p2ZSmkMYcuYrHLb3gCFKk6wyUSiX79+/f0/3vNdyk+4BwZkIDYLf0dhY7pRckL1spX+rt7U13d7fLn2E7mEwmxsfHmZ6eJjIykn379pGQkODw9ZKqQMrFSqoCuG9inpeXR0VFxaZUgbQvrVaLSqWis7OTzs5O7t27x9DQEHNzc8B9l7KMjAwuXbpEREQEL7/8svAQ+M///E+uXr1Ke3s7VquVjIwMlpaWvhDT9AclcQ8Pj01k3NTURG5urkhTLC0tMT4+jsFgQKFQbEpT7ETGT1p6wRkolcpN6avHDW7S3SVcbWjYq0jXarWyvLzM0NAQXl5epKamiiWrwWBwSNIrKytYrVa7Ath2sCVbKa8q7dv2WMbHx2lpaaGpqYn29nY734S0tDQuXLggUgVwPy0QHx9vty+DwUBvby/t7e0imrVtDc7OzubZZ58lKSmJyMhI0YihVCp55513aGhooL29HZPJRGxsLG+99RZnz54lJiZG7HOj+mAjnoQ2YNiajOH+38u2ecURGQcEBAiTe7PZvOMKx1U8LNJ11uLTHel+CSEVqgwGA/7+/i4rEVyBbaRrtVpZWFgQS/yMjIxNRLJdZPyDH/yA+vp6u9d6e3uLQo6UYpBuQqvVSmBgIEFBQYKoPT09WV1d5ebNm0xMTNDa2sri4iJwX1WQl5fH+fPnyc/PJysry05VALC4uIjVahXRsBQR9/T0iIr04cOHRSScm5tLXFyc3fk1mUw0Njby2WefcePGDQwGA8HBwZw+fZq8vDwOHjyIr68v8/PzXL16lbq6OlQqFf/xH/+x499pr0l3r1t2t4OHhwf79u3blM90RMZSjSEgIABvb29xDTwoHlbKwtlId21tzU26XxbYNjRIUxESExOdfv9uI12TycTs7CwjIyMEBgaSnZ29icwkbEe6b7zxBmfOnMFgMNgVx0ZHRwkJCWF9fZ3l5WXUarXwbDUYDExPT4vXSq3At2/fJiwsjCNHjlBYWEh+fj6xsbFb3mxWq5XJyUk6Ojqor6+ns7OTyclJ4A/R8MWLF8nNzSU3N3fLqRdWq5Wuri6uXr3K9evXWV1dJTAwkMLCQi5dukReXh4KhQK1Ws3t27dFBdtisXD48GFKSkqoq6sjMDDQrrPM1gDncXcZ2y2JOyJjo9HIvXv3UCgULCwsMDo6itFoxMPDY8s0hbP4otMLa2tr7kLakwxHDQ2enp7b+gxsBVdJV/JFGB8fJyIigvz8fHx8fLZ9z3bNC2fOnNny5zU1NYSHhzM/P09MTAzR0dHbOnHV1dVx5MiRTT+XIlXpZm5raxPRrBQN+/v7k5KSwrPPPkteXh4ZGRkOu9eWlpbo7Oyko6ODqqoqZmZm8Pb25tixY1RWVlJWVkZHRwfZ2dnU1tZy7do1amtrMRgMHDx4kG984xucOXNG5PcmJyfRaDQEBgaiVqvt3MikWW7r6+t71syw1+mFvc6/enp64uXlRWhoqJ0HhtFoFJHxdmQspSk2wmQyfeE5XUeeHo8L3KS7BXaa0PAwlQiSl+34+Dienp4cPnx428LVbiH5L2g0Gnx8fCgvL9/xpt6KRFQqFR0dHTQ1NdHR0WFXODt48CAlJSXk5eWRm5tLcHAwq6urQmUgQcoNSyTd0dEhomEvLy8KCgr49re/zfHjx/H398disdDR0cFvf/tbfvzjH6NWq9m/fz9f+9rXOHPmjNAlr6ys8MEHH3D9+nX6+vo4fvw4P/rRj+xkaFKb7/z8PCqVisHBQXQ63aZmhoCAAJdUAo876Urb3EiQnp6e7N+/f9MS3REZe3p62pHxwyJdZ7fpzuk+YZBkX2azedsJDQ9Dc7vRy7aoqIjFxUWXFQ87QUopLCwsEBsbi7+/P9HR0U4TxNLSEr/73e9oa2ujtbXVruMsNTWV559/ntzcXPLy8jbZLUrFPKPRSH9/Px0dHSKalQpn+/btIzc3l+eee47c3FxSU1Px8vLCarUyMDDA559/zvXr11lYWMDLy4sTJ05w9uxZCgsL8fDwQKfTcf36da5fv05LSwsWi4XExETeeustTp06tenzSG2+RqMRs9kspmI4amaQClMbJVsb8SSQrtlsdnqb25GxWq1Go9EwNzeHTqejubl5ExlLY5d2e5zORroPQye813CTLq5PaJByra7AEelKXraSJKukpERcNK52pAHcuHGDjz76yK74JakV1Go16+vrREZGEh4ejkqlYnR0VEzstR0mKbX+Li4uCmOa1tZWId3y8/MjNzeXM2fOiDE+jrrtVCoVXV1dNDY20t7ezsjIiF3H2dGjR8nJySE3N5fY2Fi78z49Pc3nn3/OtWvXGBsbQ6FQUFpayve+9z18fHw4evQoJpOJlpYWrl+/Tm1tLXq9nvDwcF5++WVOnz4t1BIzMzP867/+K+fOndtRRuaomcG2MOUo4gsICMBkMj32aoi9IHJPT0+Cg4PFkl6pVFJSUmJnBTo3N4dGo8FkMm06T/7+/k4paZwh3Ycxl+5h4I+adK1WK3q9XiT/nfWx3YtI12g0Mj4+zszMDIcOHaK0tHTThbWbNMbCwoKYKWbbVeYqeW+ElFfev38/L774IsnJyeJ4paq47aj1vr4+EcUODQ2JaDguLo7nn39ekOxWhbPV1VVu3LjBtWvXhO44JyeH//7f/zsnTpwQ42Xef/99/uZv/oZbt26hVCoJDAzkzJkznD59mszMTORyOUqlkitXrnDz5k16e3uB+3rhkydP2u3TWVJzVJiyJZnZ2VlWVlYwmUysrKzYRcX+/v67Wn4/KZpaCdIDfGN+deN5ksjYy8trU2Rsez8487eRSPdxN8D5oyRdW43t2NgYnp6emzxet8NuIl2pyCXlUqXC1UYv243vcZV0L168yJEjR1hfX2d4eFg4i4WFhWE0Gje19ra1tREXF7elF67BYBBSsKioKGQyGbW1taSnpwOwvLzMwMAA8/PzzM/P09XVRXd3tzCn8fb2JikpiQsXLpCXl0dKSgoajYbU1NRNx61UKmloaODatWs0NzdjNpuJj4/n29/+NmfOnBHDLCcmJvjggw+4ceMG09PTeHl5UVZWxunTp8UqQa/XU11dzc2bN2lpacFsNhMbG8s3v/lNnnrqqU1pj73ARpKZmZnBaDQSEREh2qCnpqbQaDRYLBZ8fHzsIj4/P79tSfVh5XT3eps7Ed5WZCylnKQ0xczMDBqNRuiI9Xo909PTW5KxLfR6vUNlz+OEPyrS3aqhwdPT84H0s85CGlXe3NzM4cOHnSpcKRQKl/djsVjo6elhdXV1k7OYp6fnpotSqVSSmZm5ozJCgsFg4NatW1RVVTE8PMzIyAhqtRqA0NBQUTSTUgUGg8HuZpK8GNbX14X/Qm9vL2NjYwCEh4dz8eJFzp49KyR5S0tLvPvuu9y4cYN79+4hk8nIy8vjyJEjXLp0iYCAAMxmM52dndy8eZOamhp0Oh0HDhzgueee49SpUyLFMDc3x+XLl7l79y4//vGP7SRje50OUCgUIlUTEhJi9zu9Xi/IeGlpSQz8tB2yGRAQIFzpnoRI90EGZ3p5eRESErLpPBkMBlpbWzGbzZvIeON5Wl1dfazdxST8UZDudhMaPDw8XC5WuXJh2XrZKhQKysrKnL55XEkv6PV64Sy2f/9+0tPTnTpOZ1qNpSaG5uZmuxlnCQkJVFZWkpubS1ZWloiGbSFFdCMjIwwODtLc3MzIyIiQkfn4+BAXF8fTTz9NRkYGmZmZBAUFIZfL+f3vf8/Nmzdpa2vDYrGQnJzM22+/zYkTJwgNDaWxsZG5uTn+7d/+jaqqKmEvWVFRwYkTJ8jOzkahUKBSqbh69SpVVVUixZCZmflQhfTbkaRMJhNm77a5Zdu5btKQTa1WKwyTJLc6Z6dX7IS9ftDsNYlLQZGnp6foLoQ/kLF0nqampviXf/kXPv74Y8xmMz/84Q/JzMzk7NmzThsfxcXFERgYKPx6m5ub7X5/69Ytnn32WfHwfuGFF/jRj360q8/1pSZdZyY0eHh4uJwqcAZarZbh4WFUKpWIOOvq6lyKVrYjROmGtFqtwkA7OTmZwMBAwsPDnb6ZpCgK/mAWLrXjtre3Mzo6Ctw/T3FxcZw4cYKvfe1r5ObmirzmRsOb9fV1ent76erqorOzk7t376LRaIA/TPzNzs4mJyeH+Ph4MdpFpVJRU1NDVVUVHR0dGI1GgoODOXPmDMeOHSMlJYWAgABWV1f5j//4Dz755BMWFhbw8PCgqKiIkydPUlJSgre3NwaDgcbGRqqqqmhpacFkMhEdHc2lS5eoqKggPDwcq9WKTqfD19f3sWgDtrV5tIUkI1xeXt5kmL6xKOWq+c3jTLqwdRFNJpNtWkH85Cc/4fz58/zTP/0Tp0+fpru7m8XFRZfc5m7evLltgbWiooIrV67s7oPY4EtHuq5OaNhr0t3oZZuZmWm3b1duxu0i3b/92791OJbGtqVXUiNIKoaN/9doNISEhKDT6ejo6BD52KCgIDIzMykoKCA5OZlTp04RFhZGbW3tpuYIpVJJa2urINn+/n5xTuPj4zl9+jQ5OTkkJiai1+vJzMwU77VYLHR1dXH9+nWqqqpQqVQEBQXxzDPPcPr0adLS0tDpdMzOzvK73/2OhoYG8SCIjo7m9ddfp6KigqioKBQKBT09PVRVVVFbW4tWqyU4OJjz58/z1FNPER8fj0wmY35+nvfee487d+5w6NAh/vzP/9ypv4cr2EsSl1q2AwMD7XwrbG0hl5eX7Vp8nWlk2Gs8LNJ1dptra2tER0dTWVlJZWXlnh7HXuJLQ7o7NTQ4wm5JVzLklravUqkYGhrCYDA49LKVIldnL6KtIl0pgs7IyCAjIwMfHx+7wtfY2Bj79u0TDvvS72yLaFqtVvxcrVZjtVrx8fGhtLSUvLw8kpKSMBqNKBQKkpKS7PJkUmRt28iw0Q/3woULZGdnk52dbVfl12g0gjBHR0e5fv06N27cYG5uDm9vb44cOcLp06cpKirCw8MDg8FAXV0dN2/epKmpCZPJRExMDG+88QbHjh1jcnKSmJgYhoeH+e1vf0tXVxdra2t4eXmRl5fH8ePHKS4uxsvLC7VazfXr16murqavrw+A9PR0iouLxef6oiPd7bBVusKRLaTRaBQaY8mvQ5Jr2Sop9lpi9UX7LjxIY4RMJuPcuXPIZDK+853v8O1vf3vTa+rq6sjNzeXgwYP8/Oc/twseXMETT7q2DQ3t7e3k5OS4NDdpt6QrKRi0Wi1DQ0NChL9dC6IUuTp7YdpGuhqNhuHhYTQaDYmJiZsiaAnt7e0kJyc7PaGip6eHqKgogoODWVtbY3BwELPZTEpKiiDvgYEB4f7V1NSEUqkE7rf15uTkUFlZSWZmJqmpqQ4Lcqurq7S0tFBXV8cvfvELhoeHkcvlFBYW8s1vfpOjR4/i6+srIl+pIKbRaAgODuarX/0qp06dIjExUfjrNjc3c/nyZbGt3Nxcjh49SkZGhpir9d5779Hd3c3w8DBms5mIiAheeOEFTpw4QUREBFarlaGhoT2ftfUwSNfZ7Xl6em4ra1Or1aKo2djYKAxvbJUUuyHPx8F3YbekW1NTw8GDB5mfn+fs2bOkpaVx/Phx8fuCggLGxsYICAjgk08+4bnnnmNgYGBX+3piSXerhob19XUsFovTfyTYPelaLBba2trw8PAgMTHRKZMNV3W30vDIzs5OdDodCQkJhIaGOjXM0llIY2VGRkbEePSpqSnef/99Ojo66OrqEvnYsLAwEhISOHXqFHl5eSQkJIibzGAwiMjJarUyOztLV1eXkJGNj48D9893RkYG/+W//BdOnDghHlIjIyPcvHmTW7dusbi4iK+vL0eOHOHkyZPk5uaiUCjQ6XRUVVVx69Yturq6sFgsJCUl8a1vfYuKigr2798vOtdu375NXV0darWaffv2iWMOCQlBq9XS1dXFu+++y71791heXub06dMcO3Zsz8jyYUTOD6pesJVrSTn0oqIi1tfXRZpiYmICrVYrGmZs0xQ7ydq+aNJVKpVERUXtaj9S7jc8PJznn3+exsZGO9K1XU2cP3+e733veywuLu7Kq/mJI93tJjR4enoKcw5n4QoRWq1WlpaWGB4eRq/Xk8RGuz8AACAASURBVJ6evmlk917tS61WMzQ0JPZz4MCBPVEj2ELqSJuYmGBtbY3+/n56e3vFQyghIYFz584JCVhkZCSNjY2i5VaC2WxmaGiIzs5Ouru76erqErnhgIAAMjMzOXfunJhCLHnrLiwscPnyZW7evMno6CgKhUJMBy4tLcXHx0esYG7fvk1DQwPr6+uEh4fz4osvEhwczDPPPAPA7Owsly9fprq6mrm5Oby8vCguLqaiooLs7Gw8PDzQaDQ0NTVx584d+vv7AUhOTub06dNERUWxsLDA8vIyCoXCznNhNy2sD8Paca+3J0X3Pj4++Pj42DWqSLI2Se4njYGCP8jabN3aZDLZY2F2s5tIV9JOBwYGotFo+OyzzzYpE2ZnZ4mIiEAmk9HY2IjFYtmysccZPHGkazabMRqNW3aP7SZqdbbTZaOX7ejoqNPaVgnOkK5Etuvr6yQmJnL9+nXq6urw8vISzlBSQWxjoczLy0s0Khw4cMDu59J7NBoNDQ0N1NbWMjg4yOzsLHD/gZWens6rr75KTk4OOTk5W0bv0opCIteOjg66u7vttLo5OTlkZWWRnZ1NXFyc+Dvp9Xo6OjqEFOzu3btYrVbS0tL47ne/y/Hjx0W32dDQELdu3eLOnTsolUoCAgJ46qmneOqpp0hLS0Mul1NVVcXVq1eprq5mYGAAmUxGZmYmL7zwAiUlJWJ+W2dnJzU1NbS1tWE0GomKiuKll17iyJEjhIWFYbVaaW5uZmBggG984xuYzWY7PwHbrilbMt5uGb7X1o6uruCc2d52BGkra9toECTJ2lQqFbOzs8IgCO5H00tLS3s2YNOV6Hm3pDs3N8fzzz8P3Cf51157jaeffpq///u/B+Dtt9/m3Xff5e/+7u/w8PDA19eXf//3f9/1Z3viSFead78VpEh3r2C1Wpmbm2NkZISgoCA7L9vdEPx2pCsV4oxGIwkJCeIpury8THd3tyiKSQWwB4W/vz+5ubkcP36c3Nxcjh075tCdX6VScffuXTo7O6mtrWVyclKc59jYWE6ePElmZiaZmZlERkZuuhiNRiNNTU18/vnnYojkoUOHeP311zlx4oRY2s3NzfHZZ59RVVXF1NQUHh4eFBcXi5Htnp6eQgpWXV1Na2srFouFmJgYXnvtNY4dO8aBAwewWq2MjIxw584d6uvrUalUBAYGcuLECY4dOyZUDIuLi3z88cfU1dUxNzeHh4cHlZWVREREbDJ3kWRxEhlvXIbbkvHDkKA9jEh3N9uzlanZdvaZzWaRN19dXd1kELTV5ApnYDKZnO4y2y3pJiQk0NHRsennb7/9tvj397//fb7//e+7vO2t8MSR7nbYK/mXxWJhdnaW0dFRgoODt/Sy3St7R8lO0GQyCdWDLc6fP89PfvITu59JnXW2qgXpSxrj4+fnh9FoxGAwsLa2xtTUFDqdjqioKEpKSkQ+dmRkBB8fHzvCXVhYEDPKOjs7GR4eFh1W0dHRPPvss+Tn55Odnc3+/ftZWVlhZGSEtbU1LBaLuLGk3Gp1dbXIrZaWlvLyyy+LacFS48KtW7eEqiAjI4Nnn32W8vJyAgICsFgs9PX1UV1dTX19vZCCFRQUcOHCBWGSs7i4yIcffkhNTQ0zMzN4enqSn58vDHU8PDzQarXcuXOH2tpa7t27B0BqaipHjhwhJSXF4fRhW23oxmW4Tqfb5LQl5UlVKtWurCE3Yq8j573Ov0pNBfv377c7h1KxeeNMN0nWZqumcOTP60oh7XH30gU36QL2edDp6WnGxsYIDQ2lsLDQYfT3oJHu2toaQ0NDmM3mHVUPG2HbqbNRpSCTyfD39ycyMhKNRsPQ0BABAQFUVFQ4zEFNTEzQ3NwsSHZmZga4n7vLzMzkm9/8Jjk5OaSnp9Pb20t6ejq+vr4olUpaWlqQy+WEhoaKhoj+/n7Gx8eFzV5ubi4VFRUUFBQwPj5OXFwc9fX12zYuwH3j8StXrnDnzh0WFhbw9vampKSE48ePk5WVRUtLC+Hh4VRVVdnlaVNTU3nmmWcoKSnB398fs9lMd3c3tbW1tLe3C0+E559/nrKyMkJDQ+nq6uLWrVu88847/OhHP3L6RpfJZPj5+W2Kxvr6+kR6ZmVlhYmJiS3JJiAgwGkHrcch0t0OWxG5o5lutv68G1M4tlGxKzWaJ8FLF55A0t3uab/b9IJCoWB0dJSZmRnCw8OFtnOn9+wm0lWr1bS2tmK1WklMTNzxInG1714ul6PT6YTiQRprLp03k8nEvXv36OzspKuri/b2dlQqFXC/WywnJ4cXX3yRnJwckpKSNl3wcrkctVpNY2MjQ0NDrKyscO/ePbtoOCkpieeee46MjAxSU1OxWCysra1RU1NDU1MTP/vZz9Dr9QQFBXHy5ElOnTpFSkoKcrmc1dVVfve733Hnzh2Gh4eRyWTk5ORw8eJFiouL8fHxwWQy0dHRwaeffsrf/d3fYTQaiYyM5MUXX+To0aMiTzs+Ps7HH39MQ0MDa2tr+Pv7U1FRQXl5OfHx8VitVrq7u/nXf/1Xent7USgUlJSUoNfrdxxk6Qz8/f0dko1arWZubk48eCXZlm3kZ/s3fxjphS9y/PpW/rwbjW+mpqZYXFxEqVTi5+e3yYVs4/kwGo1OD7D8IvHEke52cNVHQfKylWwBbb1sndmXNKLGGUh5LoCsrKxNZCtVUKXimESSUhTuzA2n1WqZnZ3FaDSSkZHBgQMH0Ol0tLS0iCi2p6dHTHY4dOgQ+fn5ouPMkZm51WplamqK5uZmbt++zeTkpJgK7OPjQ0ZGBq+//joZGRmkpaXZpWImJiaoqqri9u3bLCws4OnpSXl5OWVlZRw+fBidTsfKygr//M//TF9fn/D3PXz4sIh8JSnYxjytj48PJ06c4OjRoyQkJIhpEZ9++im1tbVMT0+jUCjIzc3lyJEjQsWg0+mEPG1hYYF9+/Zx8uRJcnJyOHz4MOPj46SlpTn9t90KjnK6jshGSkeo1WqWl5fRaDRYrVZBNhqNRhQZ9yLN4IqBuSvbfBAi38r4pqOjQ7jSSWQszSiU8ulra2sMDAwI7byrSpOdfBesVis/+MEP+OSTT/Dz8+M3v/kNBQUFu/6cTxzp7kWkK3nZzs7OcujQIcLDwzl48KBLfyxn7R1XV1cZHBxELpcTGRmJQqHYMrr967/+a65duyb+L6kVpOWrpD6Q1Ai2ygWZTIZer7db6ra3t3P37l0GBgYwm83IZDKSkpL4yle+Qk5ODtnZ2YSGhjI1NYXRaLQzFJGKInfv3hVa25WVFeB+9JaVlSUm/krRsNR2LTUu3LlzRziRyeVy8vLyePXVV/H19aWsrAyLxUJ3dzfV1dU0NDSg1+s5cOAAZ8+eJTs7m4CAADQaDc3NzQwPD9Pb28vi4iIeHh7k5+dz7NgxDAYDZWVl6PV66urqqKuro7e3V6wivvGNb1BUVCRcyHp7e2loaBC+DgkJCXz9618nPz+fnp4e6urq+PWvf43VauUnP/mJy+oUW7hCjo5kW7ZKgYWFBSYnJxkdHd3kueBqcUra9uNGultBIlGFQoGPj4+dLlbKp/f399Pf38/c3JwwlPrud7/Lt771Laf3s53vwqeffsrAwAADAwM0NDTw3e9+l4aGhl1/pieOdOEPLbgbsVOedaOXbVlZGQqFwk6b6ix2MjJfWVlhaGgIhUJBSkoKQUFBzM/Ps7a2tuXrKysrSU1NtSuKSdN4/fz8RPVc+pIiRI1GIxoTTCaTaPmVJGCvvfYaOTk5ZGZmbrlklsvlrK+vC3KVmhkkTWZISAiHDx/mxRdfpKysDJVKRWxs7KZls06no66ujtu3b9PZ2SkaF/70T/+UY8eOsX//fsxmM9euXeOdd96hpqaG5eVlfH19KS8vp6KigvT0dORyOVqtlsbGRmpqakRxLSEhgSNHjhAXFyc+69jYGA0NDfT19WEwGAgNDeWrX/0q5eXlQj89OTnJ1atXaWxsZG1tDT8/P8rLyzly5AgxMTH09/fzf/7P/xHphcLCQo4fP/5AhAt7Q2q25Lq4uMjhw4fFA8TRWPWN+mJH+dCH1bK719vcya3Nz89PTC5pamqioaFBdN7tFT788EPeeOMNZDIZZWVlrK6uMjMzs+tGjCeSdB3BEemur68zOjrK4uIisbGxm7xsd1sU2+o9y8vLDA0N4eHhQWpqqt24l+3ywCUlJZSUlGz6eUdHB4mJiXaEqdPphINZQkICYWFhIsqZnZ1FrVaTkJDg8GJVq9X09PTQ1dVFa2srQ0ND4rPExsZy4sQJwsLCCAsLo6CgwG773d3dwipzdHSU7u5u7t69S3Nzs13jwlNPPcWhQ4fEOfn444+5ffs24+PjYsn/xhtvUFhYiJeXl8jT1tTU0NraapenPXLkiCiuTU1Niah2dXUVHx8f0tPTxXnw9vZmdnaWmpoa7t69y8zMDHK5nKysLMrKysjKysJisdDY2Mg777zD/Pw8QUFBHD16lLy8PGJiYmhqaqKxsZEXX3xxx+vAER6mZGw7z4WtjMC9vb036YuflEgXnNPSK5VKUbiUVoGubH8734WpqSm7laDUtekmXTanFySP2dXVVeLi4kRH1EbshnQ3RrpLS0tCrpWWlrZpthbsbhKELVHr9XqGhoZYW1sjMTFRTL3duI+Nle6VlRW7SHZ4eFgUUiS7xoqKClJTU1laWmJpaYn4+Hg7za3RaGRgYICbN28yPT3N4OCgXXvwiRMnOH78uPDxlVp2q6urRRNEUlISp0+f5pVXXiEoKEjkaWtqaqirq7PT09rmaZVKJdeuXaOuro6xsTHkcjnZ2dkUFRXx4osv4uXlhcFgoKOjQxjaWCwWwsPDKSsrIyEhgeDgYMxmM++++y7t7e3o9XpiYmK4dOkS+fn59PX10djYyD/90z+xvr5OQkKCS3KljfgidLob55VJxyEZG9kaphsMBry8vLBYLIKMH9Sj92EQubN4EOXCTr4LW62qH+Q8PZGku1N6YaOX7U6G3ruNdI1GoyBbb29vMjIytq1672a2mlwuR6/XMzU1hVKpJCEhYUuylSCTyZibm2N4eFiQ7NTUFICICl9//XWys7NJT08XZtmenp709/cTFxdHSkoKer1e5IW7u7vF3DW436deUVFBVlYWmZmZhIeHYzQaMRqNdHR0cPv2bbvI94UXXuDYsWNERUXR3NyMwWDgo48+oqamhunpaTw9PcnLy+PYsWNCT2swGGhqaqK2tlZE17GxsbzyyiuUlJSwb98+GhsbRYqhpaUFvV5PcHAwZ8+epbS0lKioKOHFYDsjTXoAh4eHs7a2xj/8wz+IXKmULz548OADGag8Ls0Rtvli25zl+Pi4KESpVCpmZmbsPHo3jp53ZX97BVdc0NbW1pzyP9kKO/kuREdHMzExIf4/OTnpkk/vRjyRpOsIWq1WmJkkJCQ4dOLaCKmi7SysVitKpZKVlRU8PT13JFsJ26UXJicnhWeA9GW1WhkbG2N8fJzU1FQxDNL2M1ksFkZGRgTBdnZ2iqJXYGAgWVlZfOUrXyE7O9tumCTcL1LMzMwwPz/PwYMHkclkfPrpp3R3dzM4OChu9ISEBM6fP09mZibe3t7ExsaKG1hq2b1x4wY1NTUolUr8/f05fvw4x44dIzU1VUS+t2/f5tNPPxUPgZSUFL71rW8JPa3FYmFgYIC6ujqam5vR6XQEBwdTWVlJeXm5SFcsLCxw5coVqqqqUKvVeHt7k5+fT2lpqZCeqdVqqqqqqK+vF/O1JFMbf39/WltbqaqqYm5uDj8/PzIzM4mNjcXLy4va2lrxIH3rrbe2lCc5c418US5jzm7Pz89v07y4jc0MY2NjokawMUWxl23Jjo7R2fO+urq6K9J1xnfh61//Or/61a945ZVXaGhoYN++fbtOLcATSrobLz7bFlpPT09KSkpcukCdjXStViuLi4sMDw/j6+uLj48POTk5Tu9nY3pBo9EI/wBp6q0z27BVMeh0OlH0CgsLIysri8jISCorKzl8+PCWF63ZbBY2jQsLCwwNDTE/Pw/cX6KmpqZy4cIFMjMzSU9PtxP+37t3T3hR3L59m1u3bjE5OYmHhwcFBQVUVFSQn5+Pp6enyNPeuXNH5GmlacK2edrZ2Vk+++wz6urqWFpawtvbm8LCQsrLy4XPglarFUoHyYpR8lDIy8vD29sbk8kkRr339PRgsViIjo7mlVdeobCwEK1WS21tLQ0NDWi1Wg4dOsTFixfJy8ujt7eXnp4eUZQ7dOgQ6enpjI2NiQfyRsXAdh1mj6PLmC0cEZqjZgbbFuitBmxKBb69TDE8CrMbZ3wXzp8/zyeffEJSUhJ+fn784z/+o8v7scUTSboSVldXhShfytvV1ta6fLHvRLoSyQwPDwvJlL+/P7W1tS7vx2g00t7eLoxa9Ho9hw8f5q233iIpKYmJiQlWVlYICQnBz8+P6elpYT6yUdlgMBiESiEnJ4eIiAhUKhUjIyPExcXZHf/09DSdnZ00NTXR19cnPHF9fX2JiYnh6aefJisri+TkZIfLSZVKRVNTE52dnaKFNj09nbffflsYzMB9g/Kamhpqa2tRqVTCrObo0aMsLy9TUlKCWq3mxo0b1NXViSaIjIwMXnjhBfLz8/H29hadZJLMy2QyERkZyXPPPUdJSQmDg4MUFRUxPj5OY2Mjra2taLVagoKCOHHiBMXFxURFRTE2NiZMzq1WK1lZWRw7doy4uDhGRkb4t3/7N/r6+oQnb3l5OVFRUfT19WE0GikuLsZisYgIcGOHmUTCUiQojR96HNILe7U9R4MjpQGbKpUKg8FAS0sLgNAXS+dkN/liV0h3dXX1ofkuyGQy/vZv/9blbTvCE0m6a2tr9Pb2IpfLN3nZStGkK1VUR6RrS7YBAQHk5OTsesSzZOby0UcfsbKygp+fH6dPn6ayspLExERGR0dZWlqipKTEbsDj2NiY8DxwBnK5HJPJxNDQkFAWdHd3s7q6CvzBeFzKx4aFhTE+Pr5lxL68vExPT4/4sp3Y++qrr3L8+HEiIiKYm5ujsbGRvr4++vv7WVpaQqFQiDxtXl6eeOC0trbS1NRER0eHML65cOECpaWlwud1cnKS+vp6mpqaBGlXVFRQWlrK4cOHkclkrK6ucvfuXa5du8bc3Byenp5kZ2dTUlJCSkoKVquVzs5O3n33XSYmJvD19aWiooIjR44QGBhIR0cHV65cYW5uDn9/fwoLC8nNzeXQoUO0tbVx+fJllEol0dHR5OTkIJfLBbHaQlIMqNVqpqenhWJAr9czNjZGYGCg3VTfB8Hj5r1g60S2f/9+lpeXKSwstHtA2c50k8xvbNMU22njXfVdSEpKeqDP86jwRJKuTCbbJMeSIBHog5Cu1Wplfn6e4eFhgoKCyM3NxdfX1+XjXF9fp6amhqtXr4rW3/j4eN5++22OHj2KXC5nZGSElpYWUcByNOJnO0jKgu7u7k1dZyEhIURHR3Pu3DmOHz9OXFyc3T6kZaL0mbu7uwXJSh4MPj4+pKamihbblJQUoqKimJiY4Ne//jUDAwOMjY2JpoQTJ06QmJiI2WxmfX2da9euiQYHnU5HUFAQp0+fpry8nJiYGEGin332GQ0NDUxPT+Ph4UF2djalpaVkZWWhUChYX1+nubmZxsZGBgYGxArnlVdeIS8vD19fX9RqNTdv3qSuro61tTXCwsJ4/vnnKSwsZH19nYaGBhobG9FqtUKSlp2dTX9/P+3t7fz2t7/FYDAQGxsrtNPbjYxxpBhobGwUeULJBOdBi1R7ib2OnG3PkaMHlMlkEl13W40Rsm2BdnXKypPiuwBPKOkGBQU5TAdIsjFXerAl0rW1cty3b5+4kZ3F9773PYxGI76+vnh7e3Pv3j00Gg0RERFcunSJc+fOMTIyQlFRkZ1u2JGUDRBksxHz8/N8/vnnYqkvvSY6OprMzEzhjJaQkEB8fPymm1uKKNvb22loaOBXv/qVnfF4eno6lZWVZGRkEB8fL26owcFBWltbhfeCyWQiKiqKF198kdLSUiIjIwFYXFwUelrJNjEtLY3IyEgxcmdpaYm7d+/S29vL0NCQeCi9+uqrFBYWiuLa0NAQjY2NdHR0sL6+zoEDB6isrMTb25tTp04B97WUkmeuyWQiJSWFCxcukJKSwvT0NB9++CF3797FYrGIB0hcXBzj4+O899579Pf32+l5IyIi6O/v55//+Z8JCwvj/PnzTl8HktdzWFjYJvtDiXS2KlJJX7sdl+MK9lpT68z2PDw8No0RsvVbUKvVdvliycZ1fn5emKU7uk8eRGnyqPFEku7DkH9JHVX79+/f0srR0XHYRgyJiYmoVCpR3CovL6eyspLc3FzkcjkGg4He3l6ampqIjY0VLYs7HZtt8W1oaIj333+f27dvA/en7Ur52IyMDLRaLd3d3URHR5OQkCAePlIzQ09PD93d3fT29oruuICAAPLy8khPTyczM5OYmBi747JarQwPD/P5559TW1uLTqfD39+fU6dOUVFRQXJyMmazmbW1NaqrqzfZJp4/f57CwkJ8fX1pbGxk//791NXV0dbWxvr6OkFBQeTn5xMXF8eBAwcICAhgZGREGPOsrKwIhUJJSQnx8fHI5XKqq6uFPE2yciwqKuLYsWPC9ez//t//y9jYGN7e3pSWllJWVsa+ffu4e/cu//t//2+hXsjJyRFDBzs6Onj//ffFjbzbSvXG69RRU4NUpFKr1cKn12q12k1okFYje5VieBiR7m5IfCu/BUAod6Sc8fz8/JYFTWnsvG1zxOMO2Q5auL0dF7pHsFgsDj0W+vv7CQkJceiLagur1crMzAyjo6Po9XqOHDniUvtnU1MTubm5Oy4RjUYjo6OjzM/PYzQaOX78uNMXvDRCRqvV8t5779HW1oavry9PP/00zz77rHDUWlxcFDaOa2trFBcXi7yuVJWXVA4RERFimnBKSgqzs7NbdsMtLi5SXV1NVVUVMzMzKBQKUlNTKSkp4ezZs0J33NXVRXV1tZjMEBkZyZEjRygtLRXSsrm5Oerr66murkaj0eDj40NBQQGlpaUkJSUJhUJzczMNDQ1MTk4KhUJ8fDwpKSns378fHx8fJicn6ezspK+vD6vVSkxMDIWFheTn5yOTyWhubqa+vp7V1VVCQkIoLy+noKAAk8lEc3Mzzc3NaDQawsPDKS0tJTs7m76+PoaHhxkcHMRgMHD48GGKi4tJTExkdnYWhUIhonhnrw1p0vBuYLVa0Wq1IjKenJzEx8fHLi+621FCAG1tbWRlZe3ZaPbV1VXm5+dJSUnZk+3BfS2xp6en3UPPYrGIFmi1Ws3i4iLf/e53MRqNnDhxgtLSUoqLi10692azmaKiIg4dOsSVK1fsfveb3/yG//E//oeQK37/+9/nz/7sz5zZrMOn45cu0pWkStvBlmxDQkIoKCigtbV1z8fvGI1GxsbGmJub4/Dhw5SXl1NfX++Sa35DQwMffvgh09PTBAcH8+abb3L+/HmRL1taWmJwcBAfHx88PDzo6uqivr6eX/ziF6KZISYmhoqKCiEBsxXJS1pduH9BT0xM0NPTQ3NzM93d3VitVg4ePMhrr73G6dOnWV1dxWw2Mzk5yZ07d0TuNCAggGPHjolluzTwsqqqioaGBkZGRpDJZBw8eJCLFy+Kh5VkRNPY2Mjdu3eFQuHrX/86RUVF7Nu3T+h379y5Q19fH+vr6yJ1kp+fT3R0NAaDgWvXrtHe3o7BYCA+Pp6vfOUrpKWlMT8/z9WrV+nq6sJsNpOcnExZWRlxcXFMTk7y4YcfMjAwgFwuJyMjg+LiYsLCwrh37x7//u//zuzsLElJSTz77LMuXR8PAskXWZrQsLS0RHFxsV1edH5+HrVajclk2rLVd7sH++MS6e60zY3pPblcTmBgoKjnJCUl0dbWxqlTp3jzzTcZGBhw+YH3i1/8gvT0dIe+KBcvXuRXv/rV7j/IBjyRpLsdtksvWCwWZmZmGBsbIyQkZFuT8gfZl8lkYnR0lLm5OWJiYuy8HiSi3q4qq9PpuHr1Kv/5n//JwsIC4eHh/OAHP+DkyZMiMllZWWFwcJD19XXGxsaoqqpiYWFB5BKlfGx6errDZZfZbGZkZISmpiaqqqro6+sTrb0hISGUlpby9NNPk5aWJtzDbt++TUtLC/Pz83aOXxkZGeIcd3Z2Ul9fL0j04MGDvPDCCxQXFzMwMEBxcTFTU1M0NjbS3NyMWq3G39+fI0eOUFJSIiwmV1dXuXHjht3+srKyKCoqIjk5maamJry9vbly5Qrj4+PI5XIOHTpERkYG0dHRLC0t8f/+3/8TEZPUQBEcHExPTw+/+c1vmJubE3Pv8vLyiIiIoLOzkw8//BC1Wk1wcDCnT58mMzNz19fJXsJRXtQ2RSG1+sJ96ZZtVCy50j0JpOuKesFoNApvZlcwOTnJ7373O/7yL/+Sv/7rv97NYbqMLx3penp6buous1gsdhMhioqKNqUEXLkQJVPujZGu5Hw1Ozu7iWwlbEe6JpOJd999lw8++AC1Wk1mZiZ/8id/wv79+8nLywPuV2kltUB/fz+tra2YzWZyc3N58803yc/Pp729nSNHjmzavtFoZGhoiN7eXnp7e+nv7xcqh6ioKIqLizlw4IBQbERGRgoFRk1NjYh8Y2Ji+JM/+RNKS0sJCAgQOd+amhpaWlpQq9UEBgZy/PhxysrKBImura3R09PDjRs3hNdtZmYmJSUlpKeni/bftrY2mpubGRwcFMW1l156iZycHHx9fTEajbS0tHDz5k0xDufUqVOUlpbi6elJU1MTH330EUqlEl9fX1JTU4mNjcXf35+mpibu3buHVqslNDSUZ555hszMTPr6+ujq6uLDDz8UVpdnzpwhPj6emZkZPvvsM+Li4r4Q8t2pHdbRKCFb6Zbt3DIPDw/0ej3T09M7upE5iy+SlYFZRQAAIABJREFUdF1pF96I//bf/hs/+9nPhJH/Vnjvvfe4ffs2KSkp/K//9b/szG92gyeSdJ0tpNmSbVhY2LYTIaT8pDOk+8tf/pK+vj6+973viXHw4+PjzMzMEB0dLSwjbSEVQRylJGZnZ/mf//N/0tfXR1lZGRcuXCAtLQ2tVkt/fz8qlYqOjg46Ojro6upibm6OwMBAvvrVr3Lu3Lkte8HX19cZGBigp6eH3t5eBgYGRC48JiaG48ePk5GRgUqlErnL2NhYIiMj6evr46OPPqKpqYn19XXCwsJ47rnnSElJwc/Pj4SEBJaXl/nkk0+ora1lZmYGDw8PcnNzKSsrIz09XfhTtLe3Cx2v5KHw0ksvUVBQIBQKo6OjYmTQ+vq6iDALCwtFOmR2dpZbt26JJoh9+/bx0ksvkZ2djVqtpra2ltbWVtbX14mOjubMmTOkp6ezsrJCQ0MD1dXVmM1mwsPDSUtLY9++fSiVSi5fvizcyNLS0igsLOTAgQMMDg5y+fJlFhYW8PHxITY2dsdr42HgQYZIOtIWNzc3izSbpC328fGxi4r9/PycToU9LNJ1ZZuuFhmvXLlCeHg4hYWF3Lp1a8vXfO1rX+PVV1/F29ubv//7v+fNN9/kxo0bLu1nI55I0gXHpjeSZGxiYoLx8XGnx+9IZO1MYeHEiRN8/vnnfPDBBzz//PP09fVx6NChTWSrVCq5ceMGv/3tb1lYWODll1+mrKxsE+lWVVWJnNFf/MVf2JltaLVaenp6eP/99+nr68NkMolR6eXl5Zs+l9QYUVdXR2trKyaTCZlMRlxcHOfOnSM9PZ3U1FSCgoJEDre/vx+FQkFMTIyIaqUGjvLyco4dOyY0xOPj47S0tPDBBx8Iw/Dk5GS+8Y1vkJOTIyJfKW3R1taGTqdj//79nDp1Cl9fX86cOQPcz0dL0fHy8jJeXl7k5ORQVFQkFAoajUZ8lunpaeRyOenp6ZSXl4tR89KxwP2hlmVlZRw6dIiRkREuX77MyMiI0P0WFxcTHBxMf3+/SFtIfhJSU0pdXR3z8/NCWWH7cNLpdLvSbD8I9tp3wdPTEw8PD7uGG6m7TGr1ldQCkmetraRtq3tJmoe3l9gpDSdBkt25ipqaGj766CM++eQT9Ho9a2trXLp0iXfeeUe8xnbl8NZbb/EXf/EXLu9nI55Y0t0KFouFhYUFZmZm8PLycmn8jrOTIAAyMzMpKiqisbGR+Ph4Xn/9dUG2VquV3t5ePv74Y7tJEAClpaV2ka5Op+Mf/uEfuHbtGmlpafzwhz8U5tsajUZIwxYXF/Hz8+PcuXOcO3duU8RltVq5d+8e1dXV1NXVicm7Z8+eJTc3l9TUVLtOOovFwuTkJGNjYwQEBDA0NER1dbVw2srJyeH1118nPz9f2P/19vYKIxqDwUBYWBhf+9rXKC8vJzw8HLPZzNzcHHfu3KGpqYnFxUW8vLzIzc2luLhYaJFra2tpbGykpaVFtP8mJiZy7tw5srOzRXFNSp309/djNpuJioriK1/5Crm5ufj4+IhJD0qlEh8fH8rLy0Urcnd3N59++imLi4sEBARw/PhxoWzo7Oykvb0dtVpNSEgIZ86cISMjg97eXmZmZoRgPzIykvj4ePz8/JidneXy5cuoVCri4uLIy8vbsy4zZ7DXvgtbwba7zFb5YzabnTLAMRqNm4akPiicTS8olcpNMjxn8NOf/pSf/vSnANy6dYuf//zndoQL2JmVf/TRR6Snp7u8n414YknXNtKVqumTk5McOHCAffv2kZyc7NL2dtL3qtVqWlpauH37Nl1dXWg0GmQymVhW6XQ6rl+/zscff8zQ0JDdey9cuMCrr75KUFAQfX19mM1mBgcH+dnPfsb09DSvvPIKr732mthOb28vH3zwAXfv3iUuLo6ioiLefPPNTeqK2dlZqqurqa6uFg5lxcXFhIaGcvHixS1THBMTE9TX17OyssL8/LxwE4uPj+fSpUtCxwr3L7ja2lrq6upYWVnB19eXvLw8kpOTOXnypHAPq62tpaamhuHhYQCSk5OprKwkJycHHx8fLBYLg4ODIn1gNpsJDQ3l6aefpqCgQHRzzczM0NraSkdHBxqNBn9/f8rKyigoKCAyMhKtVktLS4toD/b39+f8+fPk5uaKvn8pso6IiOCrX/0qGRkZKJVKYRFpMpk4fPiweHjNzs6Kjjm5XE5KSgp5eXkEBwczNDREZ2enmHAhtQlLkaBWq7XrMrMdnbOX+CJ9ahUKhZ1aQMJGA5ylpSUR8Nieiwfx6HX2YbPX3Wg/+tGPKCoq4utf/zq//OUv+eijj/Dw8CAkJITf/OY3D7z9J1KnCwj/1omJCaampoiMjCQ2NhaZTEZTUxNlZWUube/evXsEBweLp7wkzm5qaqKpqYne3l5hh1dYWEhJSQmHDh1iYWGBtrY2rl27JirGEiorK3njjTdE9Ar3dcSNjY28++677Nu3jz//8z8nJydHGK6PjIzw+9//nqmpKV5++WVeeuklGhsbRWFMpVJRW1tLdXU1AwMDyGQyMjMzOX78OMXFxfj5+VH3/9l77+C47zr//7FFq7paSauy6r1ZxSpucovjODZONyRHCCFAQsuRgzs4Bpg57jiGP25uYLgDrgBDjlBCDAkkTpxiJ45jW5ZsWcWSrN7brqSVtL2X3x/+fd7sqllyTDHzfc147EmkXe3uR6/P6/18PUtTEzt37hQXrMFg4L333uPKlSvMzc2J46q0GIqNjeW+++4DEEm/Fy9eZHR0FLlcTkVFBbt376ampgar1crs7CwAly5dEtxctVpNWVkZWVlZAg+UFnc9PT1YLBaioqLIyMjg6NGj4rOy2WxcvXqVtrY2wYctKyujrq6O4uJiFAoF8/PzYaY3BQUF7Nq1i6WlJXJycmhpaRGuYsXFxYIBMTU1JSZqhUJBeXk5dXV1JCUlMTQ0REdHh8BrMzMzqa6uRqvV0tvbKyKLEhMTqaqqoqioCIvFwrVr10ToJ4SrzKQ/Pp8Pp9NJVlaWaD7rqaluVJI/dGVl5U19//IKBAK0tbWxbdu2W/J4AL29vWRmZqJUKsX7YLfbcTqdm/ZckGqj1K/W1lZ+/vOf8+yzz96Kl3Kr6q+LpwuI9IKMjAx27twpjiHBYPCGXgWrlXSxDA8P09LSwpUrVzAajcB1McGhQ4c4ePAgW7Zswe/3c+HCBX7wgx8Id6rQ52xoaODJJ58kPz8/7Dl6enr47//+b0ZHR2loaOALX/gCUVFR9PX1sbi4iNls5vnnn0ehUPCNb3yD2trasO89efIk7e3t+P1+cnJy+OhHP8qePXvCcCe4vkCZnJykvb2d5uZm4V+bk5PDPffcQ1lZGSUlJQKblIQNFy9eFEY0WVlZAoMOnXzPnj1La2srdrudyMhI8vLy2LdvHzU1NcLopb29ncbGRqanp4XAYcuWLeTm5uJ0OomIiKCtrY2enh4GBgYIBAJkZmZy//33C1Mhyaf30qVLDA0NoVAoqK6uZteuXSQnJzM0NERrayvvvPOOoINJvN6+vj5++ctfMj8/L4Iwa2pqUCgU4n202WwkJCRw4MABSktL6e3tpa+vj/HxcXw+H1lZWRw4cICMjAxmZmZ45513xLIwIyNDvOerqcwCgQAtLS1oNBrhMyDhozczFf+5HcY2UhL+KgWjriV/DvVcUKlUK+TPN/Nz3azD2J+6ZDLZ54DP3bZNNz4+nl27dq3AfDZ7lAkEApw4cYILFy4wODiIz+cTNKMdO3awa9cutm7dKp5ncHCQr3/965hMJtLS0sjPzxcNc8uWLXz605+mqqoq7DlmZmb42c9+RmNjIxqNhieeeIJjx46JkMycnByampo4ceIExcXFfOUrXwmbuNva2rhw4QIJCQncc889wpYwtILBIBMTE7S0tHDu3DlhZJ6RkcGHPvQhYVYT+vVjY2MCGnC5XMTHx3Pw4EF2795NTk4O8AfP3+bmZoH5ZmRkUFtbS0NDA3n/f1DktWvXhI+t3+9Hp9Nx3333UVtbK6J5xsfHOX36NO+++64QOBQWFlJSUkJ2djZxcXHYbDYx1ZrNZuLi4rjzzjupr69HqVTS2dnJSy+9JPLRDh48yNatWwU/uKOjA7vdjlarFYtDu91Oa2srvb29eL1e0VBzcnKYnZ3l3XffFa+tqKiI6upq4uPjGRkZ4cSJE5hMJnHCKSkpET4d66V3yOVykpOTw4Qooc3HaDSK5hMZGRnWjJc3n1ttE/mnDqVc7cYUyi222+1MTEwIjrhkC+nz+XC5XIJbvFaZzeYww6G/1AoGg/8L/O9t23TVavWmo29WK7lczqlTp/B4POzfv5+qqipx3MzNzV3R1HNycqirq+Pw4cPodDo+97nPkZqaype+9CV2794ddnFYLBZeeOEFTp48iVKp5KMf/Sjbtm0TvrS5ubmUlpbyve99j56eHo4ePconP/lJMf14PB5+/OMfc/78eXbt2sXTTz8dhusGAgFGRkbEZD43N4dMJkOn03HHHXdw9913r1i6mc1mmpqaRFSOUqkkOzub++67j8rKSkGd6+7upqmpic7OTiFwuPvuu4mNjUWtVrNjxw5mZ2d55ZVXwgQODQ0NbNu2TSRRWK1WYWI+OzsrVF91dXXCis9kMtHZ2Ulvby/z8/PAdftISXQhk8lobm4WhjcZGRkcOHBA2PmdP3+enp4efD4feXl5fOADHyAnJ0eYo0t4bXFxMTU1NWi1WkZGRnjllVeYn58X7IXq6mrBbOjt7RXxP/v27SMvLw+TyURLSwuTk5Ps27dvTbvNtSbJGzWf5cIGqRGvxdS52fpLCKVcj1vsdDoxmUwEg0H6+/txu90oFIoVvsXS76bFYrmpRdqfq25bTFfix65WyzHNG5XNZmNiYgKDwUBOTg65ubkbOvbZbDbOnz/P4cOHwy44j8fDq6++yvHjx3E6nRw+fJhHH30Um83G+Pg48fHxVFVV8d577/GLX/wCt9vN5z//efbt2yceY3Fxke9+97sMDQ3R0NDAF7/4RdHQp6enOXPmDFeuXGFxcVHgoFlZWWRlZREdHU1VVZVgLPh8Pjo6Orh48SJdXV0EAgEKCgrYs2cP27dvp7Ozk507d6LX62lubhZx5XFxcWzfvp3S0lLsdjtJSUnExsZy4cIFgaVLAodt27ZRWFiISqXC6/XS19dHe3s7g4ODBAIBsrOzqa2txefzCXx6bGyMjo4OMYFqtVpqamqoqqoiMjKS4eFh2tvbmZqaAhD82uzsbCwWC5cuXWJpaQmlUkl5eTn19fUkJCQwPDxMR0eHoINVVlYKZkRvby/d3d3Y7XY0Gg1VVVWUlJRw7do1YU4u+fxWVFSg0+mYmZmhr69PZMkVFRWtYISEls/no7Ozk7q6ug1df6uV5DEgTcUWi0WkhbzfI7l0Hd5KoUdLSwv19fW3rJk7nU4GBweFz7PP5wvDim02G36/n2effZalpSXy8/N55plnVkRS3ajW811wu9088cQTtLa2otVqOX78+IoT5jq16mguk8k+cdtOuuuVxES4ETc3VDyhVqtJS0vblBGyUqkkNTVVNNxAIMC5c+d47rnnmJubY9u2bXziE59AJpMxMDBARkYGZWVldHR08LWvfY2RkRFKS0v5/Oc/H6ZyGRoa4jvf+Q4Oh4Mvf/nLYTeXjo4OfvjDHxIIBKiqquLYsWNoNBpcLhdFRUUkJyfT1dWF0+mkp6eH9vZ2Ojs7cTgcJCQk8IEPfIDdu3cLGozNZqO/v593332XyclJkbQrcV0lWldkZKRQpUmY74c+9CHq6upEVMvo6CgdHR10dnYK39y9e/eKGHe4zkl+99136ezsxGw2ExkZSVVVFTU1NWRlZREMBunr66OlpYWZmRkiIyPZsWOHkGx3dnby1ltvYTabUSqV5Obmkp+fj1qtpqenR6QUJyQkcMcdd1BWVobL5aKzs5P+/n68Xi/p6ens3buX7Oxs5ubmeO+998RrLywspKKiQjidvf7661gsFmJiYqirq6OwsBCXy8XAwIA4GSyvWwEHhHoMqFQqYmJiKCwsFMm+drud8fHxVeW+N4oSkpKgb3X9sfx54frvWkJCQhh2GwwGSUpK4rvf/S4Wi4VvfetbIrVkoz/Ler4LP/3pT0lMTGRoaIgXXniBr371qxw/fvymX5NMJqsH/vG2bbobUaWt1XRDm60knpCc/jdTy9N9X375ZX76059SUFDAF77wBZKTk5mYmECn07Fz506MRiM/+clPaGtrIzk5mS996Uvs3bs37LWcP3+eH/3oRyQkJPDtb39b4L3BYJB3332X5557jpycHP7u7/4Ok8mE0WhEp9Oh0+mwWCycO3eO8+fPMzk5ic/nIzY2lpqaGnbs2EFFRYVI1uju7ubixYuCwpWVlcUjjzwitsUDAwN0d3djNBq5evWqSHBoaGhAq9UKjbvZbObdd98V8IZSqRTwQWFhIXK5HLfbTXt7O1evXhXvcUFBAXfddRdlZWVCui2l+losFpHqW11dLSb1q1ev4nA4SElJ4QMf+AA2m43S0lKRRuHz+QRdMDk5GZfLxZtvvonBYACuW29WV1eTlJTE2NgYJ0+eFJlsEntBo9EwMDDA4OAgbrebpKQkdu/eTXZ2NktLS+JmIJfLSU9PD2OmSPXHDKW8kdw3NEpouU+vFLD556SgbbQ2wtGVyWQit+zxxx8PExVtpG7ku/DKK6/wzW9+E4CHH36YZ5555v1+ts8ASbdt012vJFXa8go1vElOTg5Tqvl8vpvy4Q39nrvvvpv4+HhKS0uZmJjA5XKxY8cOvF4vzz//PK+++ioKhYK77rqLT3/602FmOzabjePHj3Pq1Cm2bNnCP/zDPwicSi6Xc/z4cV5//XWqq6u59957GRwcJDc3l7KyMpqbm2lvb2d0dJRgMIhGo2H37t3s2rWLoqIiMdXMzs7S1NREc3OzWFIdOHAAtVrNgQMHRCbZwMAA09PTTE9PC8rYzp072bJlC263m56eHhFsKQVV5ubm8uCDDwpurrSou3r1Kj09PQI+KCsr4+677yYpKYlgMIjBYKCzs5Ouri68Xq/g0BYVFbGwsCCi0/1+PwUFBdTX15OVlcXs7CwdHR1cuXIFmUwWhteOjY3R2dkpbgKZmZkkJCQgl8u5evWqUJup1WrxHl27do3BwUGmp6cFvFBWVkZKSgozMzO89957QjVXXl5OYWHhmtPinzqUci2573KfXmlRJf3cCwsLN5yK/1z1pwilvJHvwvT0tDiBSkZDCwsLYcvRzVQwGPwk3MaUsfVqtfgdycpRq9WuanhzM+bnoRdqMBjEZrMRExODw+Fg+/btKBQK3nnnHX71q19hsVg4ePAgDz74ICaTSTTcQCDAu+++y69//WtsNhtHjx7l8ccfFxec1+vl1KlTDAwMsH37dmpra4mJiaG0tBS9Xs+3v/1tzGazaHq1tbVYrVZSU1PRarW4XC6am5tpampieHg4jHcrHY8vX77MmTNn6OnpEU0nPT2dhx56iG3btgli/MzMjJDkejweNBoNd955J9u2bUOr1eLxeMSiTmIfLIcP2tvbUSgUXL58mc7OTubn5wWHdseOHaSmpjI2NsZLL73E+Pi4cBarra0VgoWXXnqJ2dlZFAoFdXV1AgPu7+/n7bffxmq1olar2b17NyUlJcI8fmBgAK/XS2JiIgUFBURERDA7O8vAwAA2mw2ZTEZOTo6AF8bGxmhraxNCjdraWnJzc3E4HPT29jIzM8Odd965Atv9SwmlXM0cPBAIMD09jclkYmlpKcwEZ7WAzT9XbcZ34WbYCxvxXVht33UrPtfbtuluxFN3I81WqptpuoCI+BkZGSEhIUFgj36/n6997WsMDQ1RXl7ON77xDYqKinA4HCIWp7+/n//7v/9jdHSUsrIyPvnJT4YB9Tabjf/4j/9gYGCAHTt2cPToUfLy8lAqlQwNDfGf//mfqFQq/uVf/kVQvKTHHRkZ4bXXXhMNUqfTcezYMXbu3Cl4t0ajUfjMOp1OYmJihPm45AzmcDhobGykpaVFLM4yMjI4cuSIkPa63W7a2tpoa2tbEz7w+/0MDg4KIUkgECA9PZ0jR44Ih7He3l5ef/11FhcXiY2NZe/evSIUsqenh9deew2r1YpGo+GOO+7AbrdTWVkpkjA8Hg9paWns3LmTvLw8FhcXaWpqYmxsDECIQZKSkpicnKS3t1dMr8nJyWRmZuLz+YTiLRAIEBcXR1VVFXl5eVgsFgGjKBSKNSPu/1Ka7moll8uJiIhAo9GEXTMej0csqEIjc5ZjxavRt261NwRs3HcBEHDUZmojvgtZWVlMTk6SlZWFz+fDbDaH3cButm7bprteSSqm4eHhDfvmyuXyTdFypLQGh8OB0WhcEfGjUCjYu3cvDz30UBiVTKFQYDab+eEPf8j58+dJSkriC1/4wgq62fj4ON///vcxGo3cddddPPDAA+ID7+zs5H/+539ITEzkS1/6kjjuWCwWGhsbOXfunOCx7tixg4aGBvLz84V9ZVdXF2fOnBGy3YyMDB588EG2b9+OUqkUpuEtLS1hnrgPPvgglZWVDA4OUlJSIsxvurq68Hg8JCUlcfDgQYGNwvUst87OTqHwUqlU1NXVUVNTQ0pKCna7XUh/nU4nqampHD16VDAmrly5IuCJjIwM9u3bR35+voAeurq6gOuxRVVVVaSmpjI1NcVbb70lUoLLy8vZsmWLYEQ0NjZit9tRq9Vs376d/Px8uru7sVgs6PV6AoEAGRkZZGVlIZfLMRgMnDlzBq/Xi1wuJzU1lezsbKKiotDr9StEMH/JTXetx1OpVKhUqrDmJdG3pFTf6enpVadilUr1R3EY22iogMPh2LQJ0UZ8Fx544AGee+45GhoaePHFFzl48OD/m3SXlzR1jo+PExUV9b5NytcqKa0hJiZGGGCv9vMsTxrwer28/vrrvPTSSwSDQY4dO8ZDDz0UdnHZ7XZ+9atfceHCBaKjo/nyl7+MXC4XF3VTUxPPPvss2dnZ/P3f/73AfXt7e3n22Wex2WxkZ2dz4MABDhw4IF7/0tISTU1NXLx4EavVKiLgd+/ejV6vJzc3F4vFIji/JpOJ6OhoEX8ixZWYTCYGBwdpbGxkfn4elUpFZWUlOp2OiIgI1Gq18M3t7e0V3Nzi4mJhwVhRUYHJZOLNN98UXhSFhYUCrw3l10rLEqlJT0xM8NprrwkrxoqKCqqqqoiOjhYN1WKxEBsby7Zt24SYob+/n6GhIbxeLykpKdTX15ORkcHCwgKXLl0Sj5eXl0dxcTHR0dGMj48zMjKC0+kUYZ0pKSkYjUbGxsYEFjg3N4dGoxFNSBJH3Kr6czVxyVciNjY2bGG4PEhScl/r6uq6Zb4Lm/XSvVXvd6jvwlNPPcXHPvYxioqKSEpK4oUXXrglz3Hb8nTh+pEoGAyGpfgmJCQQHx+Pw+HYtOnNxYsXVzX/lkpKa1CpVBQVFREbG0tzc7PAb9eroaEhfvCDH2AwGCgoKOCLX/xiWOZWMBjk1KlT/O53v8PhcHDHHXfw6KOPEhcXR29vLykpKTQ1NfHyyy9TVlbGM888Q3R0NIFAgLfeeotXX30VnU7HU089hdfrRalUkp6eTk9PDxcvXhQ2jNnZ2dx5551CFhsIBDh9+jRjY2PCqEfyL9iyZUsYNNDa2io8cSWRSFJSEgaDQbAnurq6GB8fJxAIoFaryczMpLCwkOTkZGEivrCwwNTUlMBr6+rq0Gg0jIyM0N7ezuzsLJGRkVRUVIjF3MDAAF1dXZjNZmJjY6msrMThcLB161b6+/tFjI9Wq6WiooK8vDzMZjO9vb0C8sjOzqasrIykpCSmp6cZGBgQoZcSdzomJoaRkRHhpqXVaiksLBSROaOjoywuLgpRSW5uLgqFQrAHpKlQElbciiYkDRGrMSVupm7149ntdkZHRykoKAjzoHC5XOuKGtargYEBUlNTb7ggCwaD7N+/n46OjlvyWm5h/fV5L0A4nqrRaMQRf3Fxcc28o4085vJfDCmtQRIhhDouSbSxGzXd+Ph4oqKi+PrXv47D4QhruL29vTz33HNMT0+Tl5e3wrfBbrfz6quv0t/fz86dO4VqzW6387Of/Yzu7m62b9/OY489RlRUFP39/TQ1NdHb2yvSE2pqarj77rvFxGq322lpaaGpqUlgqHfddRc7duwQR8yFhQVaW1tpa2sTrl4NDQ0oFApqa2sZGhrCZDLhdDp55ZVXsFqtREdHU19fT1VVFWlpafh8PgwGA11dXYyMjAiIoaSkhPLyctRqtQjQlPDa/fv3U1ZWhs/nE+nFbreb5ORkDh48SEFBARaLhbNnz/Liiy8K8UVFRQWpqanC7NxgMKBUKikpKaG0tJTIyEjGxsa4fPkyDoeDuLg46urqyM3NpbOzk+HhYQwGA8FgkPT0dIqKitBoNMzMzHDx4kVsNhtRUVGUlpaSnZ2N2+1mdHQUk8kUhpVbLBamp6fJzc3FZrNhtVrR6/W4XK6bWlj9pXsvSF66q/kuhIoaQg3To6Oj170hbXTS3azR+V9C3dZN9+rVq8LsJPSIvhZl7Ea1PErHarUyODhIMBikpKRkVamhRBu7kRAjNTWVf/u3f0Mmk3Hx4kXgetLvr371K9ra2oiOjubJJ5/kjjvuEL8QXq+Xt99+mxMnTuD3+/noRz8qLBXHx8f5yU9+gslk4tFHH2X//v3IZDLGxsb4+c9/js1mIzMzk/r6eg4cOCAawuTkJBcvXqSjowOfz0d+fj5bt25l27ZtpKam4vP5BB1MCpMsLi7m/vvvp7S0FKvVKvxw5+bmxJKqqKiIQ4cOCWcwr9cr3LpCJ83CwkJ27dqFw+Hg6tWrjIyM4Pf7UavVbNmyRSx3zp8/z+joqEiaqK6uJi0tjdnZWc6cOSPSgouLi8PYBm+88UbYjaaoqEhYaY6MjOCvwR2YAAAgAElEQVT1eklOTqampgadTsfi4iItLS3Mzc0JeKGgoACVSsXk5CQdHR243W6xUNPpdFitVq5du8bCwoLg64Y2MonitVoTWn40t9vtIm49Li4OtVq9gsb1l55ntl7jW0vUIGHFVqsVg8Gwwo1seeTWWnW7SYDhNm+6W7duXfW/3ywTQfo+l8sl8L/i4uJ1jzjLBRLrVegv0W9+8xveeecdnE4nBw4c4JFHHgmboLu6uvj1r3/N7OwsJSUl3HvvvVRWVhIMBrlw4QLHjx9HrVbz5S9/mfz8fILBIOfPn+f3v/890dHR3HXXXezfv5+EhAS8Xq+YaicnJ1GpVGzbtk0o0wYGBnA6nbz77rtcunQJq9UqDL6lo78UhzM2NsbU1BRerxeNRsOBAweoqakhPj4ej8fD3NwcXV1d4rgvcWErKyvRaDQ0NjYKw3QJr926dSspKSlh/Fq5XE5SUhJpaWkCDpD4xVFRUdTU1OB0OqmtrWV4eFjkvSUkJLBr1y4xZV69epWJiQmCwSCZmZmUlJSQmJiIXq/n/PnzmM1msUCSqGfj4+NCDqzVaqmsrESr1WI0GmlvbxeS3Pz8fDIzM/H7/ZhMJrHQXA+DjYiIIDExcdWFldVqXVXcIEXW36rm++du4lIaxWpTscSgcDqdAsoKjRFabh5/q710/xR1Wzfd5ZaKUm0khn2tkoxTJPD8RrWZxAm3283w8DBOp5Pp6WlSU1P5xCc+QWFhofia2dlZjh8/ztWrV0lLSxPLMoVCgd1u58UXX6S5uZny8nKefPJJ4uLicLvdvPDCC7S1tZGRkcE999xDVFSUSMptaWnB4XCQmprKQw89RH19vTgZSEbl0sRZXFzMsWPHBB3MarVy8uRJASVIacN33323iNSRFGft7e1CkCBNoDk5OSK48vTp0xgMBlQqFbW1tQJDHRoaEs5o0dHRbN++nfLycmQyGX19fVy9ehWXy0V0dDQZGRkilt1oNPLKK68IXnFZWRlpaWnMz89z8eJFweUtKCiguLiYqKgoJiYmaGtrw+l0EhsbS3V1NdnZ2WLqlgx3dDodeXl5xMXFYTAYuHTpEk6nk6ioKEpKSkhPT8fpdDIyMoLRaBQm1xILZjPYbejCKrQkcYPFYmF+fp6ZmRmAMEcytVq9adP0Wz3p3qrHC006npmZob6+HkDECNlsNmZnZ3E6ncjlctrb2xkeHsbn823a3tHlcrF//37cbjc+n4+HH36Yf/3Xfw37mp/97Gd85StfEZDcM888w6c+9an3/zrf9yP8GWutC3szjRCum2sMDw9jNpspKCgQBtsbqY1M1V6vl9HRUYxGI/n5+SwtLfHZz36WqKgoMXG4XC5OnjzJqVOnUCgUPPLIIxw6dAilUim8cc+dO4fdbueee+7h3nvvRS6Xo9fr+fGPf8zi4iL79u3j2LFjLC4uMjQ0xEsvvcTS0hKVlZXs3r2bgoICQRuTFmxSflh5eTl33XWXmDwMBgPvvPMOo6OjIunh8OHDVFdXc/XqVQoKCpiZmQkzrJEw1/LycqKiovB4PHR2dnL16lVxDCwuLmbnzp0icufatWs4nU6SkpI4cOAAhYWFAnqQrDbT09OpqKggMzMTo9FIb2+vWPolJyejVquRy+UMDQ2JhqpSqaioqKCgoEBkto2NjeH1eklKSqKyspK0tDSWlpZob2/HaDQil8vDDI+mpqbo7OwUJu2VlZUkJydjNpvp6enBbDajUCjIysoiPT09DF64FWwDSdwwNzdHRkaGyLWTpsGFhQXGxsaEPeRyI5z1vBf+kuEKqaSff60YIblczsjICFNTU0J09Pzzz2/IyCcyMpIzZ86IqKG9e/dy9OjRFeEHH/7wh0V+4a2q27rprlUbveCltAaz2UxhYaFYcmzmF2atdF8Ij2TPzc1l165dyOVyJiYmUKlUYiq6dOkSv/3tbzGZTOzevZsPfehD4q49NTXFL37xCyYnJykoKODRRx8lOzubQCDA22+/zRtvvIFSqeSzn/0sW7ZsAa5P62+88QaxsbE8/fTTQnDhcrlobW0V8TuSAU5KSgrx8fGkpKQwOjoqzG8UCoVgF2RnZ4t4nqmpKX76058yPz9PREQEW7ZsYevWrWi1WjEdt7a2cu3aNTweD+np6ezZs4f8/HwhopCaeXZ2NlVVVaKhnj9/PkxgsWXLFhITE5menub06dMYjUbxnC6Xi9raWsbHxxkcHBQCj9zcXFQqFUtLS5w/fx6n00kwGCQ5OZmSkhLBuGhubsZisaBSqYiPj6eyspKIiAgmJyfR6/X4/X6SkpLIzc1Fo9EIHwq73Y5KpSIvLw+dTrdi4fPHXHyFGuFIFQwGhRGOZBQuRQmFNuK4uDjBw77VTfdGO41bXZIacXJyEq1Wy7/+678KJtNGSiaTCdm0lELzp5JC39ZN92bfJI/Hw8jICIuLixQUFIijrNVqfd/+C4BI2Z2amlo1JTh0YRcMBnnzzTfRaDQ8/fTTwuXM6XTy6quv8t577xEVFcWRI0d44IEHxLLs5MmTDAwMkJ2dzZNPPklSUhI+n4/XXnuNxsZGdDodn/nMZ1Cr1bjdbt5++20RKpmbm8sHPvABEZM+OjrK0NAQL7/8svCX3bdvHzt37iQ2NlZkq3V0dNDf3y+CG48ePUp5eblQ4Elx71LTlPi1qamp6PV6Tp06xcTEhMgiq6qqQqPRMDk5yRtvvCGsEysqKsTjjoyM0NjYKPx66+vrKSgowOv1cuHCBd544w18Ph8pKSnU1dWRlpbG4uIiw8PDYnrV6XQkJibidrvp7e3F6XQSCARE48zNzaWvr4+xsTGhFkxLSyMnJ4fo6GhmZ2cZGhrC7XYTHR1NcXExKSkpKxqXz+fD7XZjtVpFxI7b7cbtdgtl3c3UjRRfMpmMqKgooqKiVpimhx7Lh4eH8fv9uN1upqenBbf4/fBppef5czEIQjFdmUy2qdfh9/upr69naGiIz3/+8+zcuXPF17z00kucO3eOkpISvve974W5Ad5s3dZN90a1/JgXeszPy8ujtLQ07P/fzAIudJEW6l4mOYutRnsJnY7lcrnAbaXJt6WlhZdeegmr1crevXvZs2cPTqdTTILt7e1YrVb27NnDBz/4QZRKJWazmV/84heMj48LExe1Ws38/DzPP/888/PzbN26ld27dwuMSgpzlGCLuLg4jhw5Qn19vcDFOzo6uHz5snDjqq6uRiaTcfjwYQAx1XZ3dwvvibq6OsEokAQLRqORqKgowe+VLPPOnDkjHMx27NhBcXExPp9POH15PB7hs5uVlYXFYqG9vZ3JyUmCwSBZWVmUlJSQkJCAXq/nwoULmEwmVCoVpaWlYsqXThxer5eEhATS09OJiIhgYWFBOJTBdWqfTqdDrVZjNBoxGAz4fD7i4+MpLCwkISEBh8PB4uIiLpcLt9st/l5+7Xi9XsEBfj/T5c2mASsUCoGRhj7WlStXiIuLe99UNqluddPdjKzYZDKJ63mzpVAo6OjowGQycezYMbq7u8Ny6O6//34+8pGPEBkZyf/+7//y8Y9/nDNnztzUc4XWX23TDZ0mfT4fY2NjzM7Ohh3zl5dSqdw01UypVOJ2uzEYDIyMjKDVasPcy9b72aSS7tR6vZ4XXniBgYEBcnNz+du//Vtyc3OFMurNN99kdHSUtLQ0PvGJT4ipeHh4mF/+8pd4PB4ef/xxCgsLRSDkiy++iEKh4JOf/KRY2Enhky0tLbhcLjQaDXv37uXOO+9ELpfj8Xi4fPkyly9fxmq1otPpuPfeeykrK0OlUtHY2Mjw8DBdXV3C2Sw3N5e9e/eSn5+P3++nr69PpCYnJCSwb98+iouL6enpYXh4mNHRURHlXl9fT05ODhaLhdbWVsbGxggEAmRlZVFeXo5Wq2Vubo4LFy4I34PCwkKcTid1dXVMTU3R1taGw+EIW45JRtgzMzMEAgHS0tLIy8tDo9EwNzfHxMQENptN+NWWlJTgcrmYnZ0VVDi5XC4oT5Jbl9vtFp+dSqUiKiqKxMREsby02+2Cjncr6lbCAVIzS01NDXvM1ahsod4Lq1HZpPpjUNA247vwfs3Ypay8N998M6zphtpnfvrTn+arX/3q+3oeqW7rpnsj0xuXy8Xc3Bx6vZ7s7GwaGhrWvXiVSuWG+YHwB2exyclJ0tLSqKur25BefC0cuK+vj6mpKR577DH27NkjBAzSBj8YDHLPPfdw1113iQn77NmznDp1Cq1Wy+c+9znS0tKw2Wx0dnbS19dHZmYmjz32mKCOnT59mra2Nvx+P2lpadx///0kJCSIY7DkTet0OsnJyeHee+8lLy9PwC9Xrlyhvb0dj8dDbGws27dvFzLciYkJmpubxYSanp7Ovn37hBdtU1MTIyMjoklXVFSQkpLC7Ows7733Hnq9XjTU0tJS4uLiBKwhUcUqKyspKCggEAhw8eJF3nnnHeEcJiU9mEwmYeEol8vJzMwkLy+PyMhI9Hq9iOKJiYmhrKwMnU5HR0cHer2epaUlZDIZaWlpZGZmolAomJ6exmAwhDFloqOjBbYqGY1LJSklb1SBQEBQw9ZrWn8M/9vlj3czVDapGd9qgcJmm27oJL/RkvYRCQkJOJ1O3n777RVNVa/XC7P/EydOUF5evunnWa1u66a7VkmptG1tbeTk5KzAVNeqzcALEkNACiCUllgbqbWarhSjLpfL6e7uRq/Xc/XqVaanp8nIyODJJ58UG9zJyUl++9vfotfr2bp1Kw8//DBRUVE4HA5+85vfMDw8TH19Pffffz8RERGYTCZeeOEFZmdnyczMZP/+/RQXFyOTyUTiw8jICB6Ph6KiIhoaGkQG2OLiIs3NzfT39wu/3iNHjgg2RG9vL52dnSwtLREIBNBoNBQUFJCamorZbKa7u1tQydLS0qiqqiI9PZ3x8XFaW1tZWloiKiqK6upqioqKkMvljI6OMjg4KAIzt23bRk5ODna7nZ6eHqampggEAuh0OoqKikhMTGRubo5Lly5hMpmIiIigsLCQnJwcZDKZiBeSjM6lhZrZbBZmPG63m6ysLDIyMoDr9L25uTn8fj/x8fGkp6eLkM3QZjQxMSGghLi4ONE0pMWO2+3G4/Gs+Nvj8QDXF4ahi7Hl9ecyHb8RlU2KuVpYWMBms4lpONQI52ZqM5PzzfJ09Xo9H//4x/H7/QQCAf7mb/6G++67L8x74fvf/z4nTpwQdMCf/exnm36e1eq29l6QQv2kCgQCTE1Nic17YWFhGM3kRmU2m5mcnAw7Yqz2NVKzLS4uJhAIMD4+viIBeL0aHBxEo9GEEcPhDzxeo9HI1NQUly9fJi4uTvBu6+rq8Hg8vPnmm1y4cAG1Ws2xY8fEzzszM8Pzzz+P2WymurqaRx55RDyfJJc9ePAgu3btQiaTYTKZRPKu3++nvLychoYGocmXmm1fXx9KpZKtW7dSU1PDtWvXaGhooLe3l7a2NkwmEwqFguLi4rAkXckrIXSKCgaD+Hw+jEajaKjl5eXk5eUJUYqUkpuamkpJSQmpqanC90Iy0JHgg/r6emHfKblN5eXlkZmZicfjEdl3gUCAlJQUcnJyBF47NTUlZMmA+AwNBgNGo1HEwaSnp69oPKEl3eQl/wWLxSJwyeWnMYVCQWRkJCqVSvx9I67tlStXqKuru2WNt6WlRSSE3Irq6OigrKwsDKKw2WxhN6KNUNmkWlpawmg0bsg75dFHH+W//uu/NpNd9qeqv07vBamWx+/s2LGDsbGxTSeorsfvtdlsDA0N4fP5KC4uFkcaSUu+mVquYvP5fIyOjjI3N0dBQQGZmZm88cYb7N69m/vuuw+5XM61a9fo7+8X3Ntdu3Zxzz33CNOby5cv88YbbxATE8NTTz3F7OwsgUCAN998k5aWFhISEnjsscdISUnB5/Nx5swZ2trahJQ2NzdXkNGXN9tt27axbds2YmJi8Pv9zM/P89xzzwk8VPJakMlkDA0N8fbbb2Oz2dBoNOzZs4eCggJcLhd9fX0iqFKtVqPVaoVXxtjYmDjaZ2dnCyWgXq+nsbGRpaUl4dkg2VQ2Nzdz7tw5vF4v8fHx1NTUkJaWhsViEcnCEnshJyeHyMhIDAYDAwMDuN1uYmJiBBOho6ODiYkJzGYzMpmMlJQUdDqdSMGQmAmrTazLrxmZTBbWTAOBAF6vF6fTid1ux+FwCOPziIiIG16nN7tIu9W1Fv9Y8l6IiopCrVbj9XrxeDzExMSsS2WLjo5mYWGBqqqqsJvOZlMjbof49dC6rZuuZFI+Ojq6YoH1fpkIUjmdToaGhoRr2XKV2s08j5RTFggEmJiYYGpqipycnDDM+Z/+6Z/EdGUymWhqamJ8fJyUlBSefvppCgoKgOumNL///e8ZHR2lqKiIRx55RDhl/fjHP2Z2dpaysjKOHTuGSqXCarXyu9/9jpmZGWpra9m9ezder5f5+fmwZhsREcH27dupr68nJiaGQCBAR0cHLS0tQt67Z88eKioqCAQCXLt2je7ubtxuNykpKezYsYPs7GxMJhPNzc1MTEwAkJiYSFlZGbm5uaIBSukRqamp4iYisSG8Xq9IN87Ozsbj8TA8PCwSLpKTk8nPzycxMZHFxUXa2trCQislio9er0ev169gIlgsFkGDs9lsZGRkkJaWJvySbTYbbrd7hfIxIiJCMBOWT65StL2EBy6vtbBSqVFvZipcXj6fT7xnG6lAILChxuXz+ejr6yM7O3sFhroc/ujp6cFisVBTU4NarV6Vyma32zEajahUKpHTF9q0JXjmRq/fZrOtiCn6S6/buulKyQar+ebejOlNaAOVjvpms1mk7K52Aawnjlir5HI5CwsLglq2a9euFXd2qeG2tbVx4sQJHA4Hhw4d4uDBg2J6ampq4vTp0ygUCo4dO0Z9fb0Ip2xtbcXpdHLo0CFhkD45Ocnvf/97PB4Px44do6ysDIDR0VHa29vR6/Urmm0wGKS3t5empiYcDgdarZbc3FzuvPNO3G43V65coa+vD5/PJ8IdU1JSmJ+f5+zZs+j1epRKJaWlpZSWljI9PY3NZuPUqVPClay6upr8/HwCgYBQjnk8HtRqNRkZGchkMgEhuN1uZDIZycnJeL1etm7dyvz8vHAOi4yMpLi4mPT0dLxeLxMTE8zNzREIBNBqtWRmZhIXF8fi4qJQw0lClcrKSpGjt7S0BEBcXByJiYkrGut6k+eNmsVqWKkElUkmMNJUqFAocLlcTE9Pi2a8Ht45MzODyWQiOzt71Ua6fKqenZ1lcnKS/Pz8daG4QCCA2+3m2rVrVFRUrGi8oa+3uLhYyMJra2tX4NUKhYL4+Pgwo5pgMCjkvtPT03g8HoxGY5g1pFqtDqOy3Wov3T9V3fZNt6ioaNXjmUTl2kxJ8MLAwICQ7ErCifW+Z6NNNxgMMj8/z8jICFFRUTeklsF1X1GtVsvOnTs5cuQIcH3z+rvf/Y6JiQlKS0t58MEHiYiIEEfk3t5eAoEAjz/+uJDBtrW1cfr0aTQaDR/5yEdISUnB7/dz7tw5kVu2vNmOjIxw4cIFIeE9evQoBQUFXLhwgXPnzonkicLCQuGjMD09zalTp1hcXBT5aKWlpQDCmMbn85GQkMCOHTvIysrC4XDQ09PD5OSkWI4VFhaSlJSE0WhkdHQUi8WCQqEgPT0dtVqN0+nEYrFw4cIFgsEgKpVKTLZut5vBwUEWFhaQyWSkpqaSmZlJZGSkeP89Hg/R0dEUFBSQlJRER0cHU1NT2Gw2sRxNSUm5qWWQdD263W5x1Jb+eL1eoeBa7Y9Wqw2jKvl8Pq5cuSJOdTabbVUqlzR0pKenCyzb4XCIm5ZUknxWqrS0NMxmM6OjowBrNl6VSkVVVRVdXV1rNl6pJK621HglQ6T1SiaTCbmv3W4XZjih1pChrmyzs7M0NzcDf2AZbEaJeiPfBbfbzRNPPEFraytarZbjx4/fMtz4tm6669VmJ11Jsmu329fl8i6vjX7QS0tLDAwMEBsbK7LSNvILLYkfmpub8fv9NDY28s477xAREcEjjzxCeXk5IyMjYmIZGRkhKytLWBT6fD5OnTol/BIeeOABoqOjcTgcvPrqq0xPT7NlyxaSk5PZtm0bcD0F9dy5cywsLIiEidLSUtxuN42NjfT29qJUKqmoqKCiokL41J4/f16kNtTX15Obm4vH4+HatWuMjY0JC8f8/HwKCgowm81cuXIFg8EglmOFhYXExMQwMzMjlGihHrY+n4+pqSmx6EpISBALyaWlJa5cuSKggLi4OHQ6HXFxcSwsLAgmglqtJi8vj/j4eKxWK8PDwygUCpxOJzqdDq1WuyFMUcJqlzdVp9OJw+EQ0zL8IZssMjISuVyO1+vFbrdjNpvDHlOpVIoGLE3VUqJxqEvdWvBEqNzXaDTidDqFl4T0vaGTsqQOHBgYEFaea6XdLm+8W7ZsWZM5EB0dTW1tbVjj3Si1KxTTXc0aUgrXNBgMvPrqq3zqU59iZmaGf/zHf+Txxx+/4eNvxHfhpz/9qRDwvPDCC3z1q1/l+PHjG/r5b1S3fdOVyWRrTrobwVolya4UQBcbGyuoUreirFYrAwMDIlpGagAbNVmXGrPVauVHP/oR09PTVFRUcPToURYXF7ly5QqAwFoPHTpEQ0MDzc3NYfjt7t272bdvH3K5nNnZWQFZHD16lOzsbIaHh5mbm+PcuXPCCWzv3r1UVVURCARob2+ns7NTSG73799PTEwMg4OD9PX14XA4SExMZO/evcJWUWq2cD3kT6PRCKeyixcvCmpXUVEReXl5ghM7Pj4e5mGbnp6Ow+FgYGCA2dlZ4Dq53263U1VVJVJtpRuZ5ERmsViYnZ0VeLJMJiM+Pl5wMw0GA263G5VKhd/vF0kZoSVxaaWGGtpgl19fcrlciAeioqJISEgQDVShUKy5hJIeN5RKJjEg4DrU1NfXF9aMk5KSVjAqpKWV1WoVeLjNZqOnpweNRkNiYiIKhWLFMCExcQYGBkREUui0vfx6rKqqoru7m56ennWpktHR0WLi7ejoYOvWrRuid91okSbdoB9++GF+//vf8/rrr4v3ciO1Ed+FV155hW9+85sAPPzwwzzzzDO3zMjotm+6a9WN7B2XS3YlXHVmZuaWvLkOh0Po9Zd78m7Gg1cqr9eL2Wzmwx/+MAkJCVy7do2UlBQMBgPd3d0iMl2a+hYWFnj22Wfxer188IMfFEf8np4eTp8+TUxMDI8++qgQUwwODnL+/HnBVqivr0ehUNDX1yfw4by8PLZv3y7SF4xGI36/n9TUVBoaGkhPT2dxcZGLFy+K5GCJticdDe12O3Nzc8TExAijG6/Xy9jYmFiOJSYmsmXLFpKSkrBarXR1dQnD8MzMTLKzs4mIiKC1tVUINUKZCE6nE71ez+LiYhgTIRgMMjc3x9zcHMFgkEAgIG7YXq+XhYUFYcAuNcLl15BCoUClUhEbG0tEREQYNCBNkCMjI8TFxW2owSgUChQKxQpRTTAYxO/34/F46O/vFxS4ULvHrKyssO+LjIwkMjIyrGHabDbGxsYwm83i/Xe5XHR3d6+AJ6SJV3JwW6/xVlZWisa7Ht1Nojq2t7fjcDg23HQ3wtNdbue4GYHGjXwXpqenxRJWspxcWFhY8xSwmbrtm+5azXEtSW9oxM9qkl3Jo3ezChupUYcu4IqLi9FqtatyNVfzAV6vEhMTeeKJJ0S+VXJyMidPnsRut3PgwAH27t2LQqHA4/Fw5swZuru7SUlJ4cEHHyQlJYVAIMD58+dpbW0lKyuL++67j5iYGMxmM6+++iomk4ni4mIOHDiASqUSjdVsNqPT6bj77rvRarUMDw8zODiIw+EgOTmZ1NRUAoGAaM4Oh0NE5GRlZTE+Pi5CHD0ej1COZWRkYLVa6e/vFz6xoR62c3NztLe3Y7PZiIiIIDc3N0y0ILmAqdVqioqKSEhIEKeKUPw3LS0NmUyG0WhkYWEBv99PbGwsqampxMXFYbFYMBqNxMfHCzhA4tiGKq+ioqI2nHp7K27aMpkMpVIp9gyhnG7J6W1sbIz09PR1j+1xcXGUlZUxPj6OzWYjLS1NQGg2m20FPBEbGytSk+HGjbezsxOXy7Wun21kZCQ7duzY8MJro/Hr78fA/Ea+C6udnm+VC9lt33TXquXwgkQBGhoaQqPRrJkULH3fZpquQqHA7XYzOTkpuLbrLeA2y3hYWloSJiuVlZWcPXuW9vZ2UlJS+MhHPiKoSTMzM5w4cYKlpSWysrJ49NFHiYiIwOl0cvLkSSYmJqipqeGOO+4gGAzS2NhIV1cXgUCA/Px8jhw5Igy7Z2dnSUhI4PDhw2RmZjI9Pc3JkycxmUxotVr27t1LSkoKU1NT9Pb2isj3wsJCoqOjmZ+fR6/XC0msRqOhurqajIwMlpaWaGlpEVSx3Nxc8vPziYyMZGZmhp6eHpxOJ9HR0ZSWlqLT6XC5XExNTYkpVWqyJSUlAspwOp1ERESQnZ0tFoVzc3MsLi6KnyE1NZWoqCgsFovwf4iIiMDtdoscNbjOv5aO6RIWHBqpI0l/l3/G0gTt8/mwWCwCy42IiLipLftqDTw6Opr8/HympqaYmZkRNL31BpCCggImJydZWlpCqVSumvIrwRPStD88PMzIyIiYhiX2gNQQVSoVxcXFXLt2TUANazXBzbz2jfJ0zWbzTUmAQ2st34WsrCwBOfp8Psxm84ZCDTZSf7VNV3Lsgj9IdqOjo9m6dasgpq9WUtPdaHS7hPm1tLSQm5t7Q38H2LjJus1mY2BgALi+EZbwM4PBwJ49ezhw4IDwR21sbKSxsRG1Ws1jjz0mIsWnpqZ44403cDgcHD58mIqKCkZGRmhqahIN9MCBA4yNjXHhwgV6enqIiYlh3759FBUVsbCwwNtvv83s7CxqtZr9+/eTk5PD7Owsp0+fxmQyoVar2b59u8CGx8fHhYetTvRVFYMAACAASURBVKdDp9MJteC1a9eEzDM9PZ28vDxiY2OFklASOhQXF5Oamipy6oxGo/BEUKlUGAwGkpKS6O/vx+PxEBkZSU5OjrBwnJycxGKxIJPJSExMJCUlRcihJTlwVFQUmZmZqNVqrly5EmZxuJpnrbS8MpvNAgqRjvRKpRKZTCbYAdLGffnnrlKpRBOW4Anpe9e6vtYyZ5K4zgsLC7hcLuEVsVpJohO3243D4WBubm6FIjIUnsjNzaW/v1/wYGUyGQaDAZvNht/vF+wJidIlhYiu13g3WssZFmvVzU66G/FdeOCBB3juuedoaGjgxRdf5ODBg/9v0pVqvTfC7/fT2tqKXC5ny5YtGyJRb3QBFwwGmZmZEVlfkvx1I3WjSVeSw9rtdpHpdfnyZQKBABERETz11FPil2txcZETJ06g1+upqKjg8OHDREVFCZvD1tZWEhIS+PCHP4xcLuf1119namoKv9/Prl27qK2tZWpqir6+PrxeL1VVVdTW1uJyuWhsbGRsbIzIyEi2b99OcXExFouF9957j9nZWZEOnJWVxejoKG+//TYulwuZTEZOTg4lJSWCRjY8PCyoQHl5eajVapaWlujt7cXhcADX8b+MjAyhmrt69aoQOmRnZ6NWqxkZGRFNzmw2ExcXR35+PvHx8djt9jDal1arJTExEblcjslkwmw2C7qVJO0NvX5C/y2p0LxeLz6fT+C70tJl+bXk9/sFBivdBDQaDTExMWK/IC3jJNpXaC1vxNK/12tAMpmM9PR0oqKiMBgMjI6OrsB5l3+9RqPB4/Gg1+sF3r3WNVpSUkJ/fz96vZ6ioiJhoRgMBoXk2Wg0YrVaxWTa3d0tBCY3I+4I/VlvVDdrdrMR34WnnnqKj33sYyK264UXXriZl7Fq3fZNd7WSJLuSefRmPpgbNV2Jazs0NCQw4YGBgU1JjtfKdpPkwPPz8xQWFlJRUSEuPqlRhzpSdXZ2inifBx98UEzCRqORzs5ObDYblZWV1NfX09/fz9jYGIuLi6SlpXHw4EHi4uK4cOEC/f39REZG8sADD5CQkMDVq1fp7+9HJpNRWVlJRUWF4IuOjY2JjLPCwkJmZmZ46623cLlcKBQKioqKKCoqEgkMIyMjwmOhtraW9PR0rFarsNqUyWRkZGSQlZWF3+/HYDCIaRiuT/jSEmN+fl5MnAkJCULoIPlhSHhyRkYGycnJBAIB5ufnMZlMBINBsdySmpLX6xVQgEqlwmg0iiWaz+cL+0wljDUiIoLo6OiwJrl8UpXYAoFAAIPBgN1uB66zENRqNRqNRpjDS41Y+iOdEEKvxxtBXZJ4Y3p6mrGxMRHts1oFg0Hx3DMzM+LmtFpJopb+/n6GhobEQlgmkwl4QqlUCljJZrPR29uLXq/HYrGE3aBWgyfeb5lMpk15q0hVXV1Ne3v7iv/+rW99S/w7KiqK3/72t+/r51urbvumG3qxL5fsulyuTUsE12u6i4uLDA4OEhsbG2bjuFmMdvldPDRpIjs7e1WO8GrP4Xa7yczM5L777kOtVhMIBGhra6OxsRG5XM6hQ4eA64Ykksprz549bN26VaQ1OJ1Otm7dKmSZ58+fx263U1hYSE1NDUqlkt7eXgFzlJWVUV5ejtVq5cyZM2LRVV5eLqTJ4+PjjI6OijyyqqoqkS3W3t7OwsICSqWSvLw8srOzUSqV6PV6pqenhSeCpKiSZMKh70d0dDSRkZEsLi4yMTERBi8kJSXhdrvR6/XCRyEhIYHk5GQxHYc2V6mkpZpSqUSpVIrGKk2d60EAq32+8fHxYfCElG1mtVqF4GM5TpyYmCimW4k9IYV12u32dU13pBPE9PQ009PTuFyuVXFeaUmcmZkpkp1lMtmaeKXUeCXfjOVMnFBHsLi4OGpqapiYmBChpaHpFavBE9Jrl/DxzSwhLRaL8JS+neq2b7qwtmRXOtZtZim2WtNdjWu7/Hs2SwGD61OHZH6elpa2ZtIErD4dS0Y0MpkMs9nMm2++yfT0NIWFhajVatF0+vv7UavVPPTQQ8TGxnL27FmGhoZEzHp8fDzNzc1cuXIFlUol1Fvt7e0iOSE3N1eY2ly6dElgrMXFxZSWluL3+xkaGmJiYkLQyAoLC0lMTMRoNHLlyhURd15UVERWVhbBYJDp6WlmZmaE5aL0Sy01bun9TUtLIz09HYVCwczMDIuLi4LyJX1ei4uLLC4u4vF4hKpMYo+YTCZMJpOI6ZGEBwsLC2L5JpnbSMuw0PL5fMjlctEQNisDXivbLBQnnpqawu12C2cuaTI0m80Cw5YmzdUqIiKCnJwcgfMGg0FSU1NXKNIkrm5eXh6jo6NMTk4K7Hu1UiqVlJWVicZbUlIiTo/LbRglS02p1kqvWI6Pu91uIiIiiI2NFVHs0dHR677Pt6PZDfwVNF2Hw0Fra+uqkl2JNrbRpZj0PdIv8Xpc29DabPowXP8lvnTpkvCKvdHPuNqkK73WwcFB3nrrLeB6I5aaw9LSEmNjY+Tn53Po0CGMRiOvv/66CHSsqqpifn5eUM/Kysqora1laWmJS5cuYbfbiY+PJykpCb/fz8WLF4UMMz09XbhDDQ4OMj4+TiAQICMjg8LCQuLi4oRUU1KVlZWVkZGRgcfjYXR0FIPBIAIjJcx2ampKTNWSaYy0iJubm8NoNAqXMp1OR2xsLFarlbm5OSH79vv9WK1WXC5XmAglLi6OpKQkFAoFw8PDWK1WSktL1zyKS43X7/eLZuz3+/H5fOLvQCAg8FxpSpauIQmPXatJymQyYmJiiImJWcEikJgTS0tL2Gw2kpOTWVxcFFv0uLi4VRuSXC4XycSLi4vI5fKwI3ggEBA3drlcTn5+PiMjI0xMTIhTwWoVCjUMDAyIxnszqRFrvW6PxyNunJJV53rwxPuhjP0567ZvujExMTQ0NKx6Yd+s05hklL0e1za0NgMvSNxUj8dDfX39ukfG0FoLB4brx23J9zU9PZ2kpCROnDiB3W5n165d1NfXMzY2xjvvvEN8fDyHDx9GrVbT2trK4OAgarWaI0eOkJSURGdnp4BQ9u/fT1paGv39/QwODuL3+9FoNOh0OrxeL5cvXxYYZFJSkvBLMBgMdHZ24nQ6iY2NFYkOTqeTgYEB5ubmkMlk6HQ6sfiRqGKSj0JmZiYpKSl4vV6mp6cF7SsxMZG0tDSioqIwm80MDw+LKSk9PZ3ExES8Xi+Li4tYrVbg+i+5y+ViYWGBkZERwXuV0imWl4TzSthu6N+r3fhC+bQul4vo6GisVitWqzUMC5YasvTvtaY4iUWQnJxMYmIiBoOBgoIC5ufncTqdzM7OCotMCSeWmpIEg6SlpREIBEQ4p4TbLm+SoY13fHxcLNtWq4iIiDCooaSkBJ/Pty4baDMluayp1WoRwSM5klmtVgFPeDwe/v3f/x2n00lHRwc6nW6Fx8RaNTk5yRNPPCGk55/5zGf44he/GPY1Z8+e5cEHHxRxSx/84Af553/+51vyGuE2NzGHlUbmoTUwMCDoQhspn8/HtWvXWFhYoLy8HJ1Ot6EPcnp6Gq/Xu64hhpTX5Xa7KSkpoaenh507d26Yv7jWazGZTAwMDIiUWr1ez+nTpwkEAuzdu5fKykr6+/s5d+4cKSkpHDp0SFg4Op1OysvL2bp1K0tLS1y+fBmbzUZRURHV1dUYDAa6urrCJLmpqakYDAb6+vpwOp1otVqysrLwer3Mzs5is9kIBoNERESQmpoqBA1TU1NCVSYtzhQKBXq9XmSYSbisVqvF4XBgMBgERKLVaklLS0OpVAqTa4n2lZycTHx8PC6Xi6WlJex2u5jaEhISBFVsYGAAjUZDUlKS8LV1u91iGRQREbGqrFzi2oY2TOlvqYFJPgwjIyMCE5egD2nqXd6wlz9uTEzMiqlxuaG33W4XRu6pqaliqpfkv6E4cVxcnPDwTUtLIykpieHhYRISElYsz/x+PyMjI0J5uB4Tx+v10tfXJ66LlJSUNZdxmy0JSpEUlKuVZCX6pS99iYaGBvr7+ykoKOCHP/zhDR9fsvisq6vDarVSX1/Pyy+/HCZnPnv2LN/5znd47bXX3s9L+es1MV+vKW7Gf0HytU1OThb44UZLst9brSSS+dLSUhjeLE3HG226y6dpyYtASnxQq9V0d3dz9uxZkpOTRfZXZ2cnzc3NZGRkcPDgQYaGhmhrayM+Pp4jR46QmJgYNt3eeeedgtUgperW1taSm5srcs4kbu6OHTtITk5Gr9eLwMakpCRycnJQKBQYjUZ6enrEwio6OpqUlBTUajV6vV7AC5GRkeTn56PRaAQvVyLp63Q6sRBaWFhgcXFRqMoyMzOJjY3F4XAwNTUlGBRarVZgn3a7naGhIYLBIDk5OQDis5KOuPAHDw+v14vr/2vvSsPbLK/skazVm7xG3u14t2PHiZewNKEBBtKmaaZshS6EoUALJJAODU0ztAzQTphC2dMGKC0paSGlQAuFsA00NNDEdvbNjuV9kTfZliVZu/TOD3NfPsmSLHmJE0fnefTEsT5Jn+RP973vueeea7XC6XRyjpGySH/trtTl2N7ejuzsbBQXF0MkEnHO2e1285uQmqB/KTAaDAYkJSV5UE3e/DB5g/T19aG3txfJycl8YaPjiS81GAwwGo3cb4MMcMhFTvi8ERERPOMlSsrfCCGpVIri4mI0NDTAaDR6UATTRTA1GLFYjPLyctjtdjz66KMhqSFoNwiMa7FLSkq46dOZwjkfdIGpm94Itbbkv2CxWHgBJ1j4eh2Xy4XOzk5otVrk+Bj3LpSABQOiF8jEW6/Xo7Cw0CPDSE9PR1lZGZYvX87H5Wg0GmRnZ2PlypXo6uric+OWL1+OoaEhvP/++zy7LSsrQ1NTE3c0W7hwIcrKyvjAyr6+Pj6GPSMjg3O/RqMRsbGxKCsrQ3x8PIaGhnjrr0wmQ25uLtRqNYxGI7RaLQ+2tD2Oj4/3GAculUqRnp6OpKQkPqliZGQEjDHExMQgOTmZb+FJvSCRSJCcnAyVSgWn04mhoSGe8ZKhN3WfUVbrK2MlCNUGg4ODaGlp4Vtp2gLHxsZyb4To6GhUV1d7/D1pQRU+tzAQE09MwV6v12NgYABxcXGcdvLVHEH0S39/PwYHB7lKhMYDefOlLpcLXV1dsFgsXMZGI62EHXZRUVHIzc3l05pzc3P9qn8o8DY1Nc2YBIzONdjnm0q7vhDt7e04fPjwBN8FANi3bx8qKiqQlpaGX/3qV9OeOCzEvAi6/kAtsN7wpbWdzsQJYRYqDORpaWl+h2JORWbW39+PtrY25OTk8GxKiPj4eHz5y1+Gy+Xi1f+4uDikpKTg1KlTOHbsGDenOXr0KM9uV65cCafTiT179vBRMpWVlVyy1d7ezi0AFy5cCKvViiNHjkCn0/EJvWq1GiMjIzh48CDGxsagUChQUFCAlJQU3iFGOluxWMwnN5AxDRWriHOk7TI1W6hUKt5VRltQ0tempKQgJiYGNpuN854UrBITE3nXVyhfUF9qA+IXx8bGMDw8zBtKiEsdHh5GbGysR2ebr+elvz+BFBVSqRTDw8PQ6/VwOByIjo7mhUtST9BzUEefTqeDXq8PKPuKiIhAVlYWurq6wBhDcnIyb0AhaqKrq4vriampobW1NSDVQN+ZuZgEHOooLm+YTCZcc801ePLJJye8v8rKSnR0dCA6Ohq7d+/GN77xDWg0mmm9nhDzIuiGkun609oGesxkIJUEBfL4+PhJDcqDDbokK2tvb0dMTIzfIC7Mng4dOoS2tjaUlZWhuroaWq0We/fu5eNlPvzwQ5hMJj47jExi7HY7Fi5ciEWLFsFoNGLv3r0wm83IzMxEYWEhxGIxNBoNdxDLz89HVlYWzGYzjh8/Dr1eD6VSieLiYixYsICrP4aGhvh5ZmVlQa1WY2hoCKdOnYLT6eQeALGxsTCbzejv7+eLJRWnaNtPmaFCocCCBQsQGRkJq9XKbRqJW83Kygp6ZI0Q3hSAkJMVFjK9/RccDgc/97GxMUilUp4NUxY5WSBWKBRITU3l03VHR0dhMBhQWFgI4AvrQvqXZF5utxsjIyMQi8UBvQ8yMjJw+vRp6HQ6zvv6Grs+NjYGvV6PkZERtLa2wuFw8FE63rraqagXAoEW0slA3/epdLw5HA5cc801+M53voOrr756wv3CILx69Wrceeed0Ol0M+IwBsyToOsPQnvHybS2hKkEXbPZzKcULFmyJKgvezBBd3h4GE1NTXyml8Ph8BtwKVMUiUQoLS2FUqlESUkJzGYz6urqIJPJ8NWvfhV6vR6dnZ3IzMzkGl6LxcIF8yqVCidOnIBWq4VSqcSFF16IuLg4dHZ2oq2tDW63GxkZGXwihUajQX9/PyQSCfLz85GamoqxsTGcPn2aD5oExv1vMzMzMTQ0xDvOhLIvsiCkETULFixAQkICGGMYGRnhLbzCz5sM04k/NZlMfsfUCBFsYAXGgxUV2lwuF3p7e3nxTtgqTNy0XC5HcnIy9/4g9QUNMKWgFRsb61f2ZbFYuJkLKTUo+/OmJ9xuN+Lj4+FyufjiFhMTA5FI5LPBhjJomsvnrTwQZvhqtRotLS3cRN1ut3M9MbmSjY2NYWhoCHFxcVAqldP2J3A6nUF9f2jke6hgjOGWW25BSUkJ7rnnHp/H9PX1cXc6ar+fqUIhMM+DrkQigcViwbFjxybV2hJCuWiomEWDABcvXhz0YwMFXTK6EYlEKC8vR1RUFAYGBiYU64RFGjp34jBLS0tht9vx0UcfweFwYNWqVRCLxairq+MXtcFg4NXq0tJS6HQ6NDQ0wGazQaFQQKlUoq2tDUajEU6nE4mJiSgqKoJCoeCFR8YYMjMzkZWVBYfDgaamJoyMjHCf2MjISCxcuBB6vR6nTp2C2+3msjOylvQl+6Ix7aSzjYmJQUJCAqRSKfeTJZ3s0NAQL9a1trbygEaaTl/aWiGEgTUiIoJLu6iJgIqhJpMJRUVFE77sQmcx71tERMQEmoLMf0jSRoGYTNzj4uKwaNEiOBwODAwMQKvVcnc0f/REamoqent7+eJPk5uF75Ey07S0NGi1WnR1dQXcEchkMuTl5aG5uZk33RBPTKqhQ4cO8eYkWry9eeJQHMZCsXUM1utEiM8++ww7d+5EeXk5lixZAgDYunUrN7q//fbb8dprr2H79u28M3HXrl0zZnYDzJOg6+sDsdlsaGtrw8jICJYsWTKp1jYU0EVmMBh4IK+vrw/pOfy19ZJon4xuCEKdrr9g641jx47BaDTisssu47QCmdqMjIzAarXi4osvRlJSEjQaDVpaWqBQKLBs2TIkJCRAo9Ggq6sLMpkMycnJsNvtOHLkCM+qVSoV8vLyoFAo0NXVxb0U5HI5XC4XcnNz+cLkrbElty9q4aXJEjabjesxicuNj4+HRCKB0Wjko+UjIiIwOjoKhUKBkpIS3qRAxjSMMQ+XL+J4SZHgHVh9gfj5jo4OZGdnTyiGEkiNEhERMaHJRSgbo5vVakVCQgLy8/N5azJJzWQyGYaHh7lfRVRUFKdPEhMTfWZ3YrGYG7zTKKPU1FQ+xZkoGZPJBKvVyhsotFot3/X409oKA6/JZOIBmv7OEomE61kB+OWJfemJfWG2bR2XL18+KR+8YcMGbNiwIeTnDhbzIugKITSNIaPmmeJinE4nN2oReub6ahudDMKg63K5fD6vr+OFW2B/wZawZMkSpKenQyKR4KOPPsLo6CgqKyuRmJiI48ePo7CwEAqFAp9++infmpeUlGBsbAz79+/nfC65i1EFPyoqCgkJCbDb7Tx7BcCzwtTUVDDG0NnZCcYY19jKZDJumk08YVZWFqKjo/nEW7PZDLFY7NHyajAYYDAYeOPE6OgozGYznwFHc8YoY1UqlR7dYYwx3qyg0+n4axDfSsFNGHxpNDt1DAarMvEGtaMLH0/NG9RKTVIzGq7odrthNpthNBoxPDzM7RXJ9IeySLlc7vH3Fwbevr4+pKen84y3ra0NQ0NDKC8vh0wmg9vt5sd2d3cjPT2d87TCgh0w3qxRVFQUVDCUSCR+eWLqHGxtbeV6Ym+eONigG8g0/WzHvAi6dKHSljcrKwsXXnghRCIROjo6pvx8dNHRdpBMjb09c6eSQVMHU3d3Nzo6OpCenu53GCZxtSMjI9BqtTxITPa6FouFT2UYHR3lLbqfffYZr/rTzzU1NUhKSkJLSwva29v5mJW4uDi0trZCq9VCoVCgtLQUiYmJGBkZQWdnJ9xuNx90SZTE4OAgAPDAplQqufcBya7S0tJ8amyTkpK4Q9fo6ChvtlAqlbBYLOjo6EBOTg4SEhL4dpacwwJtY31N2aVATFMViAoQKiwUCgWnDvzNOQsV1AgxNDQEmUyGkpISqFQqD18Ham4gTanb7UZ/fz9sNhsMBgPXRcvlcg8Jm1Kp5MFUq9UiJiYGbW1tSE1NRU1NjcdnJJPJuDZXq9XyMUi+Cnbe34lQMJnvhF6v574TpHRRqVSIiYnxyxOfqy3AwDwJusPDwzh+/LjHrLPpgIppUqkUAwMDaGlpQXJyckBDmlBBHVepqalYtmxZQOE9uTIJM06z2exRIY+NjeVSH5vNhubmZlitVhQUFKC5uZkHVvIvWLx4MXp6eiAWi7FixQrYbDbU1tbCZDIhLS0NRUVFGBsbw4EDB2C1WvmEYYvFglOnTsFoNPLtJU0mGBgYgNPp5C3JdrsdOp0OAwMDAMALlG63GwaDAUNDQ1xju2DBAsTGxsLpdGJ4eJhvS6Ojo/k4+JSUFCxcuJB/+SeTZwX6PMmAXCKRIDY2llMmwuPI+lEIkmsRNUG3yXYdBNrVDA0N8S4zs9nMp2EEUjio1WrO7RcXFyMyMpIHYaJeyN6SMveRkREe1H2BGlPa2trQ3d2NhQsX8oXGu2BH50+LEn1OU4EvPTFjDPX19YiPj+cTO3zxxFQLCAfdOURUVNSkEq1QIJFIMDQ0hM7OTr/SsqmCvBdcLhdSUlL8tjt687akORVma3a7nXceDQwMwGw284JRamoq/2IuXbqUj6I5efIkoqKikJmZiY8//hipqano6elBa2srpFIp57/pS6hQKFBRUYHo6GhO29AW3m63IzMzE3q9HlqtlovrKYsbHBzk5jTJyclQKBRchzo2Nsa30UTRUBsrWSPKZDK0trZCqVQiKysLjDFIJBI+SNFfgBIGVu+brxZfxhgfrZOcnOwxvdfpdMJkMsFsNnOVAlk+Cl9fyOt63+g4GheVmprKjYnoPVGxkgx5fIFaf/v6+jAwMAC1Ws27/Kg9nDGGrq4udHR0cKvI3t5eaDQaREZGckqFpj4A41I1chyjbjRKAvw1dlDzj1wu97DIpILdVDJi+pyE7weYyBP/z//8D06ePAm1Wg25XI6lS5dixYoVky56wfguMMawceNG7N69G5GRkdixYwcqKytDfi+BMC+CrkKh8DmEEphIFUwG0kc6HI6A0rJQX8dqtUKj0cBisaCoqIh7pXoj2CIZML49TExMREJCAnp7e9HR0YGMjAxER0dzI3fKiMmbwGAwoKamBn19fXzy7unTp6FWq1FSUgKr1coHTKampiIvLw9GoxFHjx6F3W7nz52amgqr1Yre3l7IZDLk5OTwuWUajYY3DQhnkvX398PhcEAmkyEhIQExMTHcL4EKYDTkEBjXS1IBlMxQaGGlApUwoFIw8M5OKSBSMKWb2+3muwZ/5jcSiYR7OBCEHCVpiIX+DcJrQCKRQC6XczXKkiVLPBZwkUjEC0t6vR46nY6rNHyBMl4KvCkpKR5z3RobG/lED4lEwrfrCQkJUKlUnM4h2kYoYaO5YBR4vXd19L5MJhMaGxuxYMECLF682KPlWRiU6e8kXHimEoy9eeI//elP2Lp1K1QqFaKjo/H3v/8dK1asCOp5HnvsMQ/fhSuuuMKjBfjdd9+FRqOBRqNBbW0t7rjjDtTW1oZ8zgHPY0af7SwEUQWTZcHCETkqlQrZ2dkhGaD781IQFvby8/O5jwB1YRFCCbZCjIyMQKPRQKVSeRR8hJkCZcSNjY2Qy+Xo7OzkLbrDw8MAgMLCQvT09KCzsxNSqRTl5eVQqVTo7OxEX18ff16FQgGVSoWBgQFuXrNgwQJYrVaus6XZY+QF29vby+fO0Zgcm82G/v5+Xk2Pi4tDTEwMf16ay0WFsrGxMR6ofRmKU2ClyRp0o8q+EKRK6Ozs9NvdFwj+OEoqfun1em6kk5iYyK8pYYD0hlKpREREBC+wxcfH+91dRUREQK1Wo7e3F/39/VCr1dxQqKioyINKIGVIV1cXjEYjMjMz+WhxWjxoQSQJG9VHiLai7w55JtNEEqFDnndGTP/6oieAL67vqWbFJpMJl156Ka688sqgHxOM78Kbb76JdevWQSQS4cILL4Rer0dvb29IXiyTYV4E3WBMb/wFXYfDgba2Nuh0Oj4ip7m5eUpdaUIvBWHxzdc0CArS3n34wQZbs9nMWxMXLVoU0CKSMuIvfelLvIlg7969yM7Ohl6vh0QiQV1dHe/0otE5NF6bssTs7Gz09vbCaDQiKSmJqxR6enr4LLO0tDTExcXBbDajvb2dqxSE3WNUEIqIiEB8fDxiYmL4dF6qaNNkATIjJwtJ4lotFgv/HT1GqVROKtAnVYJKpUJNTc2McfQi0RcjbFJSUqDX63H69GlIpVKoVCpIpVIuM6TOQMowiZcmaR55yiYmJvoN0hKJBCkpKdBqteju7kZERASnLLxBi2BPTw+6u7u5w5u/xYOy+OHhYXR0dHBTeKvVigULFqC0tDQg3eatfiAE4omFn2MwO1ODwTAtTtef70JPTw9flIDxqcA9PT3hoBsKpFKpT+qBVvOenh6udqA/9FT9F0gfSu3AgYpvQgkYBdtgVnyyDySv31Cd88ViMTo7O3l1/l//+heSk5MxMjKCnJwcREZGore3l/f8OxwOyGeLfwAAIABJREFUxMfHQyaToaurC0qlEvn5+ZDL5dDpdNDpdADGM+ukpCQ4nU5otVpOa6SlpXm06trtdkRERHAjbtr+SiQSREZGclcvkUgEi8XCW3+p4u+d5QoLSb29vbBYLJyKoExNqVTC6XTyxbS4uBgymQwOh4O3DtPn730LdhEk2O12XsSkbNDlcsFgMECtViM3NxcikYhz8cJzFvKtjDEeeH0lDHa73cPjmKRx/kDDOLVaLbRaLdLT031ebyKRyEM5QYY+DocDGRkZsFgsaGxshNVq9ficaaEM9FkFMgAi+o2M0SfLiKczNSKQ74Kvz3AmGyOAeRJ0Q7F3ZIyht7cXbW1tSElJ8RkUpzIJgsT6p06dglKpDFh8o+KJwWDgNosqlQqxsbF+C0SUOff09CA7OxuFhYVTvhhIH2u1WrmPLTDOoXZ2dvLpvNnZ2VAqlejq6uK/0+v13AkMGC9ipqWlcSvH0dFRXpCKi4vjvC/xnomJiYiOjobD4eATaYUWigB4sAXGs3QKtr5AbbfCQpLNZsPY2Bjsdjv38JXJZNzomo6hLzIFLJKGCeEvGHtPhBBSFrm5uR5jcmhkjdFo5GNokpKSJlBAQhWC3W7nagVSalBQI/6eXoeomv7+fqSkpPhdvCmQkodxenp6wGIkeX7k5eVNGNfufc5UyBV24PnSP3tDJBJhYGAAbW1t/HWCyYj7+/unlOlO5rtAVAyhu7vbwzpzJnDOm5gTaFSLN1paWhAdHc1NVmg1zcvL80s5aLVa2Gw2j06bQKCRQRKJBGVlZX57wn3xtnTh0s1qtUKhUPAsjbbera2tWLBgAbKzs2fMYKSlpQWtra3IysrCwMAApFIpGGOIjY1FYWEh+vv7MTAwALlcjuzsbD7hwWAw8IIRZcQUEGQyGZKSkngjhMVi4cWoqKgo3hhAX6ioqCjExsZy3SYFW7lczpscfH2O3j61wpsQQnmY0+mE2WzmgYJUEkJTGnp+KsgJb76UD2KxmGf3IpEIeXl5fhcI6gqz2Ww8Swy0cFosFm5pOTIyAoPBwFu009PTERcXxykYs9mMgYEBTuUECnRkIUlB2PscKJuVy+UoKCgIqTHE4XBw/TMpDqhYKLxFRETAZrOhoaEBUqkUhYWFAV+H/q5WqxWPP/44XnrpJZw6dSqkVmDGGG666SYkJCTgySef9HnMO++8g23btmH37t2ora3F3Xffjbq6uqBfQwC/f9h5E3TtdrvPrQFxUsQ5FhYWTjpeZGBggG/fA0FoUE7bN18ZQShFMsrCDAYDBgcHuR1ibGws4uLieFY8E/K4AwcO8AKXyWTietuYmBi0t7fDarUiKSkJ6enpMJvN6Onp4UMnqUBEk3WVSiU3QCGFAgVH4jotFgv3PoiMjERcXBwvQNGiSQ0WJKcKJrAC8MhAiWc2mUx8SKcvOBwOHoANBoNHpibUPgs1qcJg7HK5YLVaOeVBXr2BAiktLqSnjY2NDRggKVt3uVzQarXIz8/3oCdIz0yLBnHc3gMpvUEFOzLVoXPr6uqCVqtFUVHRjA19pInAdM608DidTqjVam7NOVlwP3LkCDZu3Ii1a9fiJz/5Schdgp9++ilWrFiB8vJy/pl7+y4wxrBhwwa89957iIyMxIsvvojq6uqpvO3zM+haLBYudaqoqAi6V3t4eBj9/f0oKSnxeb+QD87JyUFaWhra29shl8snuPgLt0nB8oNWqxUtLS2wWq0oLCzkbbLCjNhut3PdJWVqoQbijo4O6HQ6vuV1Op08642IiEB2djZiYmLQ19eH4eFhXgmXSCRciE/Fn8jISF65d7vdiI6ORmRkJO/3J5qHVBNEpdB2noItZf+kiRUi0DafaIOenh50dXVh4cKF3CkqFFCmRsF4bGxsQstwZGQkdDodWltbkZmZibS0NM4Pk8nPZK9LwyfFYjFUKpXf3cvIyAg6Ojq4fpgmjwhBQY0MjGQyGSwWC1wuFz9vX34HQ0NDUCqV/G/X2NiI+Ph4LFy4cEbtGoWwWCxoaGiAQqFAWloaV3yQgZHQJD4mJgYKhQI2mw2PPPII9uzZg+eeey4kY6k5xPwPusLuIbvdjtbWVoyMjHALPvIkDQYGgwEdHR0oLy/3+D3xXNQdlZOTwy9OmqZKlU/KikIJttStNDg4iLy8PJ9fMOG5WCwWj0DscDj4dp2+bL6yAWFwysjIQGtrKzebkUgkUKlUyMnJgd1u5zZ+5J9AnUKMMT6pgbbBpFRISEjggn9qgqBef+JbCdQoQd6udL7U6RZsQWt0dBSnT5/mQcM7wNB1Hsrfg0CLhcFgwMjICJ+ym5SUxHcf0dHRXGcsFos9MuRAz0sz4OLi4jyOp0KZ3W5HcXExgPEArFAoEB8fH/D8yQpToVB4tDu73V8MsqTrQywWc2Oo4uLiKdklBgPGGK9JFBYW+jRcF17TRqMRtbW1ePjhh2G321FYWIjbb78dK1eunNHxQLOI+TsjTQiamNDb24ucz0fkjIyMoL+/P6Tn8aVeGBkZQVNTE2JiYnyOTCch+lT0tlTcIw+GZcuWTfqFFbZRpqSk8OchzpJGzNA8MQrETqcTra2tSEhIQE1NDS+QkQkMNUxQR5lUKkVOTg6USiXXcioUCj60k1o1qZVXoVDAYrFgaGgIbvf4eKGUlBROPdjtdohEIi7vSkxM5LQDAF5IAuCxzfdXlBSqBRYtWsTnf5GSRHjzhcHBQW4DSQHf++9FC8CJEyfgdruRlZXFt+82mw2dnZ0wmUy8azApKQlGoxGRkZEBt8BEL5BZOe3EvAtldD6kgiCHLX/XVVxcHNxuN4xGI+Li4pCRkQEAvAOQro/Tp0/zSSFqtZp7OcxUZyfBbDajoaEB0dHRqKmp8ZtFC6/p+Ph4vPzyy0hNTcWDDz4Iq9WKQ4cO8cX/XMa8yXS7urqg0WiQlpbGByMC41/itra2kLYkdrsdR48eRU1NDcbGxtDU1AQAKCgo8Nsw0d/fj+HhYeTl5XnIXCbD8PAwmpuboVKpkJubO2U3K38g3aVOp0N3dzfXLAs5y97eXl6wIYjFYh4UifNljPGx4CaTiXfUUbZnt9uh1+vhcrlgs9mgUqkQFxfHNbUAeLAFxrNTi8XCqQXqGAO+kILRbXh4mBdk4uPjkZiYCJvNxicSy+Vyfv4fffQR3+YTn0yBleRoFJR2797N37NQska3mJgYuN1uNDY2oqenZ0LBltqSY2JikJOTgwULFnC6RiwWc8MhoXG5d9ChYiplnZGRkcjPz/d5LRAnGh0dHbCIxBjj1FFCQoLHsQ6HA83NzbBYLCguLvZwYSPqirTPlBEHarsOdA6dnZ3o7e1FcXFx0GqDgwcP4oc//CGuu+46bNq0aUZnsJ1BzH96YWhoCHK5fMKFShxSKP3Tbrcb+/bt4wMTCwoK/M6foszWbDbj9OnTsFqtXPxON18X7NjYGDQaDUQiEQoKCiYt7k0V1BFH04gTEhI8OpHoJqzOU3cX6ScJZKRCbZ2xsbG8+j06Ogqbzcb58KioKMjlct5YQfSBQqHgnG17ezuX55AOV3gjvlEmk6G+vn7CjiUiIoIHcaVSyQNsV1cX7HY7zGYzpzeEoMYLoTcsTYCgx3gbxpPpCp0PycyomEZj12lxd7vdnFclbwcKbAB40KQCWF9fH+e0acikLzDGuLUlBXF/YIzxnUhycjI3w29paUFOTg7frfh6HNUQKBBTFuyrqcMXTCYTGhoaQuKIrVYrHn74Yezbtw/PPffcjA6DnAPM/6BLffi+fn/o0CEsW7YsqOchXrWlpQXl5eUBL0x/RTKbzca3jEKZj0qlQmRkJPdInUpzQ7AQ6kYzMzMDajKB8S1tT08P35YLQe21wPgiJmw2IZkYtd9GRUXxoGWz2SYUxEQiEZeDCX0UyIBc2GkmfIxCoeAUg1BbTByx92OALzS+QumZ2+3m89aoyCcELSxU0KNFkwplNJjS+1qjmWNFRUVcakgcJTnWUZCirkCDwQCdTofh4WFIJBJkZmZyGRk1PPj725IJfVxcXMAFW2gJSTK5wsLCkCkEUtUIi4zejShU+Ors7MTg4CCKi4uDlnTV19fjnnvuwfXXX4977rnnXM1uhZj/QZdGsXiDMYZ9+/bh4osvDvh4ClI0xVer1eJLX/qS32NDKZIR10pFMnKoioyM5E0RwUhmggX5McTFxXk4Rk2GU6dO8Q4wkl6RMbl3gwnpdKlrjf4VgiYpeHeREdcr5HIJUqmU84qUUVOQopHqvh6jVCr5uB232829WcmQxpdFY1RUFBQKBX8tCpJEtTgcDp/BVaFQ8F0VvR5pgPPz85GXl+fxWdlsNm5hSdmsw+GARqOBzWZDcXEx5HI5N9ChRhO9Xu9hSCNUIDDGuDVmQkJCwEacnp4eDA8PIzU11aMhYyYgdLojBzlStPiS3XnDYrFg69atqK+vx3PPPedXMXQO4vwNugDwr3/9K2DQ1el00Gg0iI+PR15eHqRSqc/HTLVINjg4OKG5QVj0Gh0d5baGtO2kL1ko0h2LxQKNRgO32x2UHtkbVqvVY8SKd6CSSCSQSqWcHvDOiikIUeGJuF2HwzFB0kcZLwU8oS7XbrfDarVOyEKJZ/YO5E6nM2CWTI+hAptwEfEXXCkbp6GQNC5JmCUTT00gHrmsrAxZWVke99EiIJVKodfruZOXt6yN+FVydBNqiekaIQVCTEwM1z37ahcm17Ho6OiATRvThdvt5mqhkpISvoB4y+7onGm6yNGjR7Fp0yZ8+9vfxsaNG+dDdivE/FcvTKUlliYER0REoKKiYkKQokx2KsEWGC96aDQaKBQKLF261EPxIDRIEU4HIK5Vq9VO4P/Iys6XkxkZY+fn5095cqlCoeAOYEKIRCIeRCnQUGutXC7nFAsFWe9gSQUwqVTKPzdhgPW1XafslTHGt9q0sFqtVoyOjk54DBn7CAtyFChtNhv3xBWCsnHyXxDOTiOzdVJ4EEgSRrPbaNEgisTXzkIul3ssVv5GANFnRVMzYmNjkZ6ezu/3ViCMjY0hKSmJG8iTd4NWq8XAwACKi4unNEssWIyOjqKxsRFqtRpVVVX82kxISPCog5AvscFgwM6dO/Hqq69ieHgYV155JSIjI7kT2/mAeRN0JwMFUOALG0fyUfX1x5ZIJHzkeajBlp7fZrOhsLAwaO2jMBugL5pQ+E72fHRcbGwsH+SYmZk5YRzLVJCamspN3AkUuIDxYEgZr8vlmpDxUsCjrIWySKIpSFZHIJqFim7AeIZmNpv5gEtv32GyfqQRPbQwUhZrNBonLBxEJ1CWTJm10+nkWajFYuE/+3qcTCbjnXZOp5OPSvcO5AaDAUuXLuWNMm63Gx0dHUEHQSpS0g5IyO8KR/nQ8zscDuh0OojFYvT19aG/v5+PMRoeHubBeCalYC6Xi7umeds8+gK1gjc0NOCDDz7AXXfdhdtuuw2nTp3CoUOHZuy8zgXMG3qBsfGR0L5QV1fH1QvkbUvmGv6KZIcOHUJWVhZUKtUEcxN/CKW5YTpwOp3o7e1Fe3s7bx4gzSdlxJNZHAbC2NgYent7+WIjXLAo2HoHT++sjbJY72yUqBWajEtKCeI5va9H4njJH5cyZAqWZNojhFwu55wrLULCLJlUBULIZDIPfpfeAwVXmsohhFgs5nI3ynZFovEx53l5eUhISOD6bqKWRCIRzGYzH8EUaEvtcrn40M1AXWvA+EI/NDQEp9OJxMREPn9OqEBwOBy848vbKzcUjIyM4PTp00hPT0dGRkZQ15nZbMZDDz2EY8eO4fnnnw+pWekcxfzndAMF3YMHDyIuLo5nhBkZGX4zQtom63Q69Pb28h55Knj5ksoImxsyMjL82ubNBMgCz+l0orCwkGcYxP3RjVp0hYE4FK3l2NgYBgYG+LYbgAfFwhjz4G4piAoDIPkRCMecU3ZMlopC0BgcYfASBlhf1ABln74yXqvVOuGaIG5WoVBwzS49JlgumUxu6FibzeZTOaNWqyEWi/nYJAJpp6ldOtC14nQ6eXHKnxKAjJzouvZXWPPu+BJqcoVSMH8evmSPaTabUVJSwiV3gUCF7HvvvRc333wz1q9fP2stxmcZzs+gS0Ws48ePQ61Wo7i4OKAMxx9vS+J1koEJncDEYjH6+/uRkJAQklIgVAiz6Pz8/KDGyns3GHg7mPkzziGu21u2JFRrUPASFshI1SD0QiBqwjtLFMrQKHDTsXa73a+pjTAwU7AnSsD7WiZKQCKRwO1286xRqVTyoDxZlizMrCfLkonftdlsvGVXaNspDGgkvZvMaczhcGB0dBRRUVETgpzdbkdTUxP3CDabzdwSMtjFVajJpWBMEkdhQZeahLKysrhF5mQYGxvDgw8+iFOnTuH5559Hfn5+UOc0TzD/gy7gae84OjqKpqYmvuJnZGT41MROVZFAsizSYArbbWl89ExUY8nvob29nW/npppFe3/BvI1zyMiF5rhFRkbyhgTSJZOEy3sGFgUoCoTeGS8FJArGZLnoK8BKpVIe9Oj1hNmu9zVLWmGS4gnPkVQN3q9BBTRhluz9GH9FN6I7aOERNlZ4c8kVFRVckUCa7aioKGRnZ/Nrxl9mCYDTAsKGCcYY+vv70dbW5tEqTBn7dBd+uk6MRiNvo3c6nR5Od4G8nxlj+PTTT7F582bceuutuOOOO2Y1u3W5XKiurkZ6ejrefvttj/tsNhvWrVuHgwcPIjExEX/+85+Rk5Mza+ciwPxXLwDgfFlTUxMcDgeKiooQGxvLByUKMVVFApnpGAwGFBYW8kBOW0aaN0XSLdqy+VMeBAItHDExMaiqqpp2IUToeSC08xsbG0N7ezs6Ojp4sGtvb+eBmDTJFOy8x45T4KHPkoKTd5Cl4CSEkK/1PtZXJqpUKnkxj/5elB0TVyoEY8ynN6/wNXxlydTM4i1nI2rEVzMGmbHL5XKPKSRxcXETPm8qELa3t0/ILCmg0QIg5OeFXrfeCgiic6YLuk5MJhOGh4dRUFAAtVrtYVre09Pj0X1JTmXkldDU1ITXX3/dQ7M8W3jqqadQUlICg8Ew4b7f/e53iI+PR3NzM3bt2oXNmzfjz3/+86yfUyDMq0z3xIkT0Ol0fAAkob29nU8OCNRJFghut5t7jQZqofR+DE0XpouVbALpRt1PQpD6gdyVQhmQGSqo0JOYmMjbNb3bhBUKBfcgEIICJIFoB3rvvroEKasUdogRz+t9rFC+5U1X0M37uYVZMp0D3YRjYAjECxNXS++LOF7yffU+L8qsqdgVGRnJJ45QMwThggsu4DsuynppPBH9ztcOJCUlhf/taWinVqv169I1U6ARPYwxFBUVBczEicLq6urCj370I7S2tiIpKQlr167FV7/6VaxcuXLWzhMYn+xw00034b777sPjjz8+IdNdtWoVHnjgAVx00UVwOp1ISUnB4ODgrBS4vXB+ZLpqtZqbPAtB8i/vTrJgsk5hc4NarcayZcuC3ioJAyyBrPZGR0fR2trqUaiLjo7mnT3E287WxWG1WtHU1AS3243y8nKPQo+3dI20ocTfCqceC819vE3GibcVNjH44oIB8BHmwoKY0CjcV0AWHg984XdA0wq8EwrKkukchLsdCrBCUMYnzKyFLcvkWSEWi3nxjVqWY2Nj+WNMJhOnMSgYe2u2vXcglAm73W4MDg7ixIkTvD2YTIUCFb2miv7+frS2tiI3NzcoNy+5XA6FQoGdO3ciNjYW9fX1UCgUOHTokN9pLjOJH/7wh3jkkUe4pt0bwkGT9D0bGhoKqiYyW5hXQZcs7bxB88hoqmkozQ1NTU2IjIyc0NwwVUgkEsTHx3vwy2QP2NTUxINUd3c3t/ubqrTHF8j+cmBgIOiCHFXv6bMVbtOF2axwcgMAD+qG5GG04AnbfAF40Aq+ClW+Wom9u8votUhl4J29CikFXzQEKS28DW0cDgdMJpPPrjV6LXptYVAmmdnQ0BAuuOACXuwlOsUfKPMFwL0eqqurPczs9Xo9Ojs7PdQH05GB2Ww2NDY28qnCwdAUjDF88skn2LJlC+644w5s376df96rV68O+RxCxdtvv40FCxagqqoKe/bs8XuO3jgDWW5AzCt6wbvHnjIZmsRAGZCweu/L5V+4vS8oKJg1Y2fgi8AeFRXF57b52m6SxnKqhTphxp6amorMzMyQC3LCAphwkjHdJww6Qg6YQJ+zdybrXXQT8qjAFxSEd4GOjif6ICoqyiNYUlD2Pg9vg3QhneDLp0H4GPLNpW0/8cneVActLBTIySqRMeZXnytUYhDFAyDg34pkYFSo85aBTRaIhYVab1ouEIxGI37605+is7MTzz//PLKzs4N63Exiy5Yt2LlzJyQSCf++XH311fjjH//Ijzkb6YV5FXQpSwpUJBMaQdOMKdJARkdHY3R0FHq9flabG4DxzILMt4PpWhMW6oR2jMEU6kwmE5qamiCXy/n49JkCBUS6UUZL50z/CvW9wmtOqH6g/wufTwjhiB5gvKhE3rW+JjhTAPcu+gXikanRRJiFE5VA2mTva4JoFOF9Qu6Zdlj5+fk8EAs/Pwq0dP70epmZmZN2evlCsIHY7XajoaEhpAGUjDHs2bMH//Vf/4UNGzbglltumTVNeijYs2cPfvWrX03gdH/961/j+PHjePbZZ7Fr1y688cYbePXVV8/EKZ0fQZe2mqEWyWw2G9ra2tDX1+fhACbUWM6UGYfL5UJnZyf6+/uRm5uL5OTkKQf2yQp1kZGR6Ovrg9FoRGFh4az2tttsNjQ1NcHlcvHJrv6yU4LL5fJYDL2vRe/5Z8JCmrBpA/iiiCfctgsDrD/LSmGgFGbflD17gwIyAM4Du91u/jtf3ycK/GKxGGq1mltFEg1Bx5D3cUZGhs8pvdOBsDGCfBusVitiYmKQlJQUFDVhMBjw05/+FD09PXjuuecmmPrMFKxWKy655BK+EF177bV48MEHPY7ZsWMH7r33Xt4uf8UVV6ChoQFvv/027r//flRXV2Pt2rWwWq248cYbcfjwYSQkJGDXrl3Izc2dlfP2wvkRdO+9915ER0ejuroaVVVVkwrPgS8mN8THxyMnJ4ePIae+erpIyQFMaMUYygrP2LihdFtbG1JSUpCVlTUrGYLT6YTBYEB3dzeGhoa4nWCgjrrpgFQdvb29yMvL87k9FW73hWN0fB0nDK7etIPwNSmL9X6MMKv2fm5hcPV18/UY7+OF//cFX4/xLhjSeURHR3Paoru7GyKRCEVFRTM+LkcIi8WCU6dOcecxyqpp0RbqtonCUqlU+Pjjj3Hfffdh48aNuPnmm2c1u6VdHbmsLV++HE899RQuvPBCfsyOHTtw4MABbNu2bdbOY5o4P9QLt956K/bv34933nkHP//5z2G321FWVoaqqirU1NRg0aJFfAtFGsmIiAiUl5d7dPtQpktj1YEvskoKaEJ+mAKavymw1OHly21spjE2NoaWlhaoVCosX76cWzESpaLVaj0606ZTqBseHoZGo0FycvKks68ouPgLkr6ClL//Ew9Lv6fP3DvbDBRQhccJj/V+fKDHBVo4gnmM3W7nmW5SUhIiIiJgt9tnJegy9sV4deHoHJKuCefsUUY8PDyMH//4x2hoaIDD4cBNN92EzMzMWedDRSKRB2fucDjmvPg1k5hXma43rFYrjhw5gv3796O+vh4nT57kOk65XI5HH30UxcXFU161KaukgEbOWELTmc7OTpjNZhQWFgbtoj8VEEdss9lQVFQUkAv0LtSRU1awHXXk/+ByuVBUVBRUD/5koGBKPwuDl7cUzVeA9H4uX/eFEhCDfT4AEygQX48hqkRo1CMc2U4qiKioqBkf3TQ2NoaGhgY+hy8YySNjDB9++CHuv/9+/PCHP8SXvvQlHD58GA0NDRO2+rMBl8uFqqoqNDc3Y/369fjlL3/pcf+OHTuwZcsWJCcno7CwEE888QSXhp0lOD/ohcnw+uuv44EHHsDq1auhUChw4MABblJTU1ODqqoqVFdXTzriOhBsNhv0ej26urpgMBgglUon9N/PpFmz2+1GZ2cn+vr6psURB1Ooi4yMRHd3N/r6+oKWm00V9L76+/t5558v7a2Q57Xb7byYSnyt0HDH3+fidrv5CKXk5GRuhOP9Ot4/B6v19ve+qNVa+JlbLJagZuyF+lqh+Orq9Xps2bIFw8PDePbZZz38fM809Ho9rrrqKjzzzDMoKyvjvx8aGkJ0dDTkcjmeffZZvPrqq/j444/n7Dx9IBx0gXGhdEJCgkdm5na70d7ejtraWtTW1uLAgQMwGo0oKSnhQbiiosLvOBQhGPNspCDeVjghQhjMKBCH2h5M0Ol0aG5u9phIMZMQFuoGBwcxMjICqVSK5ORkfu6+OuqmC+qSS05ORk5OzpQ+G+EuhFQq3gugQqGAwWBAY2PjtF4rWNBrUfefv9ci3wN/RkXBNEUYjUY0NDRM+lpCMMbw/vvv44EHHsCmTZvw3e9+96xQJjz44IOIiorCpk2bfN7vcrmQkJDADY3OEoSDbihwOBw4fvw4D8THjh2DRCJBZWUlKisrUV1djYKCAo8gR7IsmUyG/Pz8gEHa7XbzLxVNCIiIiAjaD5f8JSIiIlBQUBDUgjBVUOcaY4yrEqijjiwkJ7O+DBZ2ux0ajQZ2u51ngTMJYdFIr9fzXn21Wo3ExERufznTIMPv0dFRlJSUhNzWzRib4Bhns9l8anHdbjfa2towNDSEkpKSoDXmIyMj+MlPfgKDwYDt27dzg/S5wODgIKRSKeLi4mCxWHDllVdi8+bNWLNmDT+mt7eX11v++te/4pe//CX2798/V6fsC+GgOx0wNt4vf+DAAdTW1qKuro5nmKWlpWhubkZVVRXWr18/ZVkWTTwQBjO5XM6DGZmpt7e3cxOS2ZokDHjSFpNRCYGsL4Mp1DE2Pjyxq6vLwzVrNkAqktbWVmRnZyPS2erHAAAZjElEQVQ+Pt4jq/QXzKaK4eFhNDU1hWT4Hez78G6gIf9glUqFzMxMxMXFTaq9ZYzh3XffxYMPPojNmzfj29/+9qxkt8HIwMgR7F//+heGh4eRmZkJiUSCb37zm7j//vs9pGBbtmzBW2+9BYlEgoSEBGzfvh3FxcUzft7TQDjozjQYY9i6dSteeOEFVFVVQafTYWhoCAUFBVyyVllZ6VfREAzoS0Xbe4vFgqioKKSkpPBgNhuWeWSKrVarkZ2dPaXOtWALdUajEY2NjbzIM5vDCcmhSyaToaCgwGcw9dazUjcgnXuwvLzD4eBud8XFxbO6G3G5XHwwZG5uroehPXXqCb1xKRAPDw9j8+bNsFgs+PWvf80zx9lAMDKw3/zmNzh27BhvZPjrX/86545g00A46M4G3nnnHVx66aV8G+xyudDQ0IDa2lrU19fj0KFDcLlcWLx4Maqrq1FdXY2SkpKQAovRaMTp06cRHR2N3Nxcj6zSaDSCMeZR7IqKippypuJNJcyEKoHgXagbHR3l/gJpaWlQq9VT5rYngzBrn4pDl78io6/JzYz59rqdLej1ejQ2NiItLc2nnMv73I1GIx599FEYDAY0Nzfjtttuw6ZNm2a11d0bZrMZy5cvx/bt23HBBRfw389hy+5sIBx05wKUNR08eBB1dXWora3lWR1ph8l82TvY2O12tLS0cLmZvy8FDa6krT3xw0JaYjKOlQYn9vf3o6CgYMrThIOBMChlZmYiJibGIyAIO+r8eWOEgtHRUZw+fTqkglIwIG8EYTcgmfBQu3VcXNysFaJcLheam5thMplQUlISNP89NDSETZs2wW63Y+XKldBoNDh8+DA++OCDKbUch3rOgWRgZWVleO+995CRkQEAyMvLQ21t7Zw6gk0D4aB7toAxBp1Ox4t0dXV16OnpQU5ODqqrq7FkyRLs378f2dnZWLVqVUijVwi0vaSAYLFY/HKs06USQoHZbEZjYyMUCgX3IfCG0PpyOoU6muc1NjaG4uLiWQ0ojDF0d3eju7uby6toAQzGPzlUEE9M8/iCeT7GGN566y1s3boV9913H66//vo5yyD9ycAWLVqE999/3yPo1tXVzWoSMIsIB92zGW63G83NzdixYwd+//vfIyMjA263GyUlJZyWKCsrm3JlnarfFMhGR0e5plUqlSIvLw+JiYmzNlKF5rvpdDoUFRXxbqhgEUqhzrtQNtMeBt4wmUwenLT3Z+gtXaNFRBiIg53c7HQ60dTUBJvNhpKSkqB5Yp1Ohx/96EcQiUTYtm0bFixYMKX3OpPwJQM7X+iFedUGfK5CLBajoKAADocD+/btw8KFC2G323HkyBHU1tbi+eefx4kTJ3gbMQXi3NzcoDJTMtZWKBRITk5GR0cHb6YQiUQYGhpCe3s7AEzgh6d7wZOWODU1FTU1NVPKpGUyGZKSkvg2U1ioo3Zuh8MBhUIBs9kMhUKBJUuWzCgn7Q2hNKu4uNhvtyFV14U8st1u59l8X19fUA0ROp0OGo0mpIWEMYa//e1v+N///V/87Gc/w3XXXTdnAcxbBvZ///d/2Lx5s8cxa9euxR/+8AdcdNFFeO2113DZZZedqwE3IMKZ7jkCxhj0ej3q6+t5oa61tRXp6emorKzkHXWB7CiJSvBnuONyuTy29mNjYx5b+1DGuFNRDgAKCwtntXpPhbKenh4sWLCA23cyxnixayoz6vxBr9fj9OnTHg0w04VwJ0LSNRoTPzo6ioiICJSWlga92xkYGMCPfvQjSKVSPPPMM0H75IaKrq4urFu3Dn19fRCLxfj+97+PjRs3ehyzZ88erFmzhttoxsbGYv369RNkYHPoCDYbCNML8xHk8LV//37U1dWhvr4eer0eRUVFvFBXUVGBnp4eNDU1ITMzM+QA6GtrTzpWCsbe/rDkOjbbrcKAZ6EsJydngrWjUIM73UKdkCcOpXg1FZB2ua2tDTExMdyQPTIy0sPpzluHyxjDG2+8gUceeQQPPPAArr766lnNFnt7e9Hb24vKykoYjUZUVVXhb3/7G0pLS/kx/rxu5znC9MJ8hFgsRnZ2NrKzs3H99dcDGA8MJ0+exP79+/HHP/4R69atAwBcfvnluPjiiyGRSFBUVBQ0f+tvaz86OoqhoSG0trZy20upVAqdTge1Wh3QdWwmQAHQZDJh0aJFPgtlYrEYKpXKo2FFWKgjdUgwhbrBwUE0NzcjKysLRUVFsxrI7HY7GhsbIRKJcMEFF3jw1dRSPjAwgJaWFv7Z79mzB2lpaXj11VcRExODf/zjH2ek6p+amsr1vTExMSgpKUFPT49H0A3DE+FMdx7jxhtvRHl5OW655Rbe1lxfX8+n/1ZVVaGqqgrLli0LarqxP9B8LRK/WyyWoMYiTRUUcLKyspCWljbt5w1UqIuKikJ/fz/3up1NW07GQh+dQ9n8Qw89hL179/KOtOrqavzmN785o5xoe3s7LrnkEpw4ccKD496zZw+uueYaZGRkIC0tDb/61a+waNGiM3Zec4T5SS+899572LhxI1wuF2699Vb85Cc/8bjf211+w4YNuPXWW+fiVOcENKnWG/Tlrqur47aX1O5LtMTSpUt9um15P49Wq0VnZycWLlzoIW8LNBZJaDgTCqxWKxobGyGRSFBYWDhrZt+Uzbe3t6O/v58H2mCtL6cCem9SqZR7XASDvr4+3HPPPYiJicGTTz6JxMREPuNPKMeabZhMJnz5y1/Gfffdh6uvvtrjPoPBwOfK7d69Gxs3boRGozlj5zZHmH9Bl8bCfPjhh9ya8ZVXXvHY1pwD7vJnDVwuF5qamjg/fPjwYdjtdpSXl/NAXFpayoOBTqdDe3s7YmJikJeXF1QAstvtHrI1m80W1FgkIU88280bwBd6YqVSiYKCAm6+PtUZdYEgXLgKCwuDfm9utxuvvvoqnnjiCfziF7/A2rVr56zS73A4sGbNGqxatQr33HPPpMfn5OTgwIED52rTQ7CYf5xuXV0d8vPzeXXzhhtuwJtvvhnmkqaIiIgIlJSUoKSkBDfffDOA8ezr8OHD2L9/P5555hmcPHkSSqUSUqkUYrEYTzzxBAoKCoIONDKZDMnJyXzbTB175C0h5CgpCDPG0NTUhISEhFnniYXtwsLpCsAX0wyio6O5A5ewUNfV1RVyoc5isaChoQGRkZGoqakJOnPu6+vDxo0bkZCQgE8++STktuaZBGMMt9xyC0pKSvwG3L6+Pr4Lqqurg9vtPlcbHmYE52zQ7enp8XCKz8jIQG1t7YTjXn/9dfzzn/88W93lz2ooFApcdNFFuOiiiwAAn376KW6//XZcdtlliIuL4yO4s7KyuMlPVVVV0CbwgcYijYyM4OTJk1wt4XQ6MTAwEHAs0nQg9J9dtmxZUAuJv0IdZcItLS3cx1dYqJPL5ejp6UFPTw+KioqCdotzu93YtWsXnn76aWzduhVf+9rX5lzH+tlnn2Hnzp0oLy/HkiVLAABbt25FZ2cnAOD222/Ha6+9hu3bt/N5fbt27Zrz855LnLP0wl/+8he8//77eOGFFwAAO3fuRF1dHZ555hl+TKju8t/73vfw9ttvY8GCBThx4sSE+xlj2LhxI3bv3o3IyEjs2LEDlZWVM//mzlL09vZCIpF4FHioSUBoAm8ymVBaWspN4BcvXhwSf+tdKCN+WDgWSSaT8YAXjKm3P5BDl16vn5LXbTAQFupGRkZgMBggk8mQkpKCuLi4oOwje3t7sXHjRiQnJ+Pxxx+fVVvPYLS35/t3IQjMP0533759eOCBB/D+++8DAB5++GEAwJYtW3weH4y7/D//+U9ER0dj3bp1PoPu7t278cwzz2D37t2ora3Fxo0bfWbX5zvsdruHCfzx48chlUqxdOlSzg/n5+dPyCapmBQRETHpVFwy9SaOmPjhUMYikYeBP4eumQRjjJsKkQpCuJA4nc4J/HZERATcbjdefvllbNu2DQ8//DBWr14961liMNrb8HdhUsw/TrempgYajQZtbW1IT0/Hrl278PLLL3scI3SXf+utt1BSUhLwOS+55BLeDusLb775JtatWweRSIQLL7wQer3e4zXCGIdMJuNUw5133gnGGAwGAzeBf+CBB9DS0gK1Ws19h+vr65GRkYFrrrkmKL5PLpdP4IeFGtbm5ma/Y5EcDgc0Gg1sNhsqKipmtV0YGK/sNzQ0ID4+3qMVWqlUQq1W8/OnQl1/fz/eeustPPHEE5BIJIiPj8fTTz+Niy+++Ixsy4PR3oa/C1PHORt0JRIJtm3bhlWrVsHlcuF73/seFi1a5NFW+PTTT3u4y+/YsWNar+mLR+7p6QlfaJNAJBJBpVLh8ssvx+WXXw7gi46rV155Bffccw9SUlLgdDqxd+9ezg8vXbo0aP5WJBIhKioKUVFRHvwwFbo6OzthMpngcrngcDiQkpJyRtqTyehnstE5wkJdSkoK6urqEBkZiZtvvhlSqRQvvfQS6urq8OMf/3jWztcX2tvbcfjwYQ/fWyD8XZgOztmgCwCrV6/G6tWrPX730EMP8Z8ffvhhTjvMBHxRMf4CwmT88J49e/Dv//7vWLhwIQDg6quvxv333z9j53q2QyQSISMjAwaDAR988AEWLVoEl8uFU6dOoba2Fq+99hruu+8+MMY8TOCLi4uDrvILC13JyclobGyEWCyGWq2G2WxGc3Ozz7FIM6H/FQ68rK6uDlrh0d3djbvvvhuZmZn45JNPpjz+aSZgMplwzTXX4Mknn5xg6BPKdyEMT5zTQfdMIyMjA11dXfz/3d3dfgf4/cd//Ac2bNjA23B9YcWKFedbP/oE/PznP+c/R0REoLy8HOXl5bj11ls5ZUAm8I8++ihOnz6N+Ph4Tl/U1NQE9JQlr9uenh6/Gl9yLNPr9ejs7ITdbkdUVJQHPxysVM3tdvPROaWlpUEX5txuN1566SU899xzePTRR3HFFVfMaRBzOBy45ppr8J3vfGdCswMQ2nchDE+Eg24IWLt2LbZt24YbbrgBtbW1UKlUfrdTk/HDYUwOogwuueQSXHLJJQC+GHNPRbo//OEP0Gq1WLhwIc+GKysrERsbi5MnT2JsbIxzqf4CJ9leks8sBXuyXtRoNEGNRaLROampqaiurg46aHZ1deGuu+5Cbm4u9u7d69cm8kwhGO1tKN8FX/jZz36GpKQkroq47777oFarcffdd8/Iezibcc6qF2YD3/rWt7Bnzx5u2vLggw/C4XAAGNcbMsawYcMGvPfee4iMjMSLL76I6upqv8/X3t6ONWvW+KUXzsN+9FkBmcAL3da0Wi2kUiluu+02rFixAmVlZdOiDQKNRYqOjsbIyAgsFgtKS0uDdh9zu93YsWMHfvvb3+Kxxx7D5ZdfPmvZbSh0l8lkQktLC8rLy/nC4q29DfW74I329nZcffXVOHToENxuNwoKCs7lKRG+MP8kY+cCAgXdUPvRw9rJ4OB0OrFy5Up89atfxZe//GUcOnQI9fX13AS+srKSZ8TTnZnmcDjQ09ODjo4OHtCDHT3f2dmJDRs2oLCwEI888sis6IOFmEwOORf2i1dccQUeeeQR9Pf344UXXsBrr712xl77DGD+ScbOdQi3kKtXr8add94JnU7ntx9dIpHgscce89BOXnHFFR4ynnfffRcajQYajQa1tbW44447zjvtpEQiwTvvvMMLUMuXLwfwhQk8DQh94403uNyQgnBVVRUSExODHp3T3NwMi8WCZcuWQalUeoxFookWwhHo/f39KC4uxp///Ge8+OKLeOyxx87YdISzke669dZbsWPHDvT19eF73/veXJ/OGUM46M4RQu1HD2sng4evir9IJEJ8fDxWrVqFVatWAfjCa2H//v3Yu3cvHn/8cYyOjqK4uNjDBN5bxyscnVNcXMyDpnAskrf+dnR0FM8++yz27dsHq9WKr3/96+js7ITD4Zg1t7RQsW/fPlRUVJwxuuuqq67C/fffD4fDMUFjP58RDrqzBCE/nJGRMYEfnk4/elg7OTMQi8XIyclBTk4ObrjhBgDjlAGZwP/pT3/CvffeC7FYjKVLl6K4uBgffvgh1q1bh1WrVgWl8RWJRFAqlXj55ZfR2NiIP/zhD6ipqcHRo0dx4MCBGbWHnA4qKyvR0dHB6a5vfOMbs26/KJPJcOmllyIuLm5WjYzOOjDGAt3COMtgNBpZZWUle/311yfct3r1arZ3717+/8suu4wdOHDgTJ7evIPb7WYGg4H94he/YCkpKezKK69kixYtYpdeeinbtGkT27VrF2tpaWEmk4mNjY1NuJ04cYJdeuml7O6772Ymk2lO30tbWxtbtGhRUMdmZ2ezwcHBWT0fl8vFKioqWFNT06y+zhzBb1w9O5bZMILCTGsngx0qeL43cVD78LFjx5CcnAzGGHp7e7kJ/PPPP4+BgQFuAl9dXY2Kigq88sor2LlzJ5566imsWLHirG4eONP2i6dOncKaNWtw1VVXoaCgYNZe56xEoIg8F8tDGL7hdrvZjTfeyDZu3Oj3mLfffpt95StfYW63m+3bt4/V1NQEfE6tVssOHjzIGGPMYDCwgoICdvLkSY9j/vGPf7Cvfe1r038D8xxOp5OdPHmS/f73v2c/+MEPWHZ2NrvuuuvY2NjYXJ8aY4yxG264gaWkpDCJRMLS09PZCy+8wLZv3862b9/OGGPsmWeeYaWlpWzx4sXsggsuYJ999tkcn/E5D79xNRx0zxHs3buXAWDl5eWsoqKCVVRUsHfeecfji+N2u9mdd97JcnNzWVlZGauvrw/pNdauXcs++OADj9+Fg+7U4Ha7Z/01br75ZpacnOyXMnC73eyuu+5ieXl5rLy8nC+wYZwRhINuGIHR1tbGMjMz2ejoqMfv//GPf7CEhAS2ePFi9pWvfIWdOHFijs4wDG988skn7ODBg36D7jvvvOOx81m2bNkZPsPzGn7j6tSV4WHMGwQyNqGq9tGjR3HXXXfhG9/4ht/nsVqtWLZsGSoqKrBo0SL893//94RjbDYbrr/+euTn5+OCCy4467Sj5xIuueSSgKN6/EkIw5hbhIPueY7JinPkQwuMN3E4HA7odDqfzyWXy/Hxxx/j6NGjOHLkCN577z3s37/f45jf/e53iI+PR3NzM/7zP/8Tmzdvnvk3FQYA/xLCMOYW4aB7HoMFOVSQfd4qPllVmyr9wHgwdzgcEyr2b775Jm666SYAwLXXXouPPvrIp01gGNOHr8/1bFZQnC8IS8bOY8zGUEGXy4Wqqio0Nzdj/fr1ARs4JBIJVCoVhoaG5vs47jlB2H7x7EQ46J7HWL58+aRZ5oYNG7Bhw4agnzMiIgJHjhyBXq/HVVddhRMnTqCsrIzfH86+zhyma78YxuwgTC+EMSuIi4vDypUr8d5773n8Xph9OZ1OjI6OBiwGBVOc27FjB5KTk7FkyRIsWbKET4ie7/jWt76Fiy66CKdPn0ZGRgZ+97vf4dlnn8Wzzz4LYJyDz83NRX5+Pm677Tb85je/meMzDgNAWDJ2rqOuro6Vl5czi8XCTCYTKy0tZcePH5+TcxkYGGAjIyOMMcbMZjNbvnw5+/vf/+5xzLZt29gPfvADxhhjr7zyCrvuuusCPqfb7WZGo5ExxpjdbmfLli1j+/bt8zjmxRdfZOvXr5+ptzGnePfdd1lhYSHLy8tjDz/88IT7X3zxRZaUlMS12r/97W/n4CzDCALhNuD5ipqaGqxduxY//elPYbFY8N3vftdjO38m0dvbi5tuugkulwtutxvf/OY3sWbNGo9hobfccgtuvPFG5OfnIyEhAbt27Qr4nMEU5+YLXC4X1q9fjw8//BAZGRn8byt0kgOA66+/Htu2bZujswxjuggH3XmA+++/HzU1NVAoFHj66afn7DwWL16Mw4cPT/i9cFioQqHAX/7yl5Ced7LiHAC8/vrr+Oc//4nCwkI88cQTHlKpcwV1dXXIz89Hbm4uAOCGG27Am2++OSHohnFuI8zpzgMMDw/DZDLBaDTCarXO9enMOKg4193djbq6ugmTD77+9a+jvb0dx44dw7/9279xSdpkcLlcWLp0KdasWTPhvrlo4ghWV/v6669j8eLFuPbaaz3UCWGcGwgH3XmA73//+/j5z3+O73znO/O62cBfcS4xMRFyuRwAcNttt+HgwYNBPd9TTz2FkpISn/fNRRMHC0LZMdUFJoyzCIEI3/Dt7L8BWAfgjc9/jgBQC+CyuT6vGXx/yQDiPv9ZCWAvgDVex6QKfr4KwP4gnjcDwEcALgPwto/73wdw0ec/SwDo8PlMwVl8rxcBeF/w/y0AtgQ4PgLA6Fz/jcK30G5hTvccB2PsJQAvff6zC8BEwvPcRiqAP4hEogiM78xeZYy9LRKJHgJwgDH2FoC7RSLRWgBOAMMA/iOI530SwI8BxPi5Px1AFwAwxpwikWgUQCLGg+9soR5AgUgkWgigB8ANAL4tPEAkEqUyxshAYS2Ahlk8nzBmAeGgG8ZZDcbYMQBLffz+fsHPWzCeFQYFkUi0BsAAY+ygSCRa6e8wX6cT7GtMBZ8H9w0Yz7IjAPyeMXZyBhaYMM4iTDaCPYww5h1EItHDAG7EeOBSAIjFOEXzXcEx7wN4gDG2TyQSSQD0AUhm4S9MGNNEuJAWxnkHxtgWxlgGYywH41v4j4UB93O8BYCqVNd+fkw44IYxbYTphTDC+Bxe2/jfAdgpEomaMb6Nv2FOTy6MeYMwvRBGGGGEcQbx/6E2zSd7ZNToAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f_old(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = 5.0 - objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "def f(x, y):\n", + " returnmatrix = np.zeros(x.shape)\n", + " for i in range(x.shape[0]):\n", + " for j in range(x.shape[1]):\n", + " returnmatrix[i,j] = objective2(np.concatenate((np.ones(4)*x[i,j],np.ones(4)*y[i,j])))/1e9\n", + " return returnmatrix\n", + "\n", + "# sampling space\n", + "N = 10\n", + "\n", + "x = np.linspace(0.5, 4, N)\n", + "y = np.linspace(0.5, 4, N)\n", + "\n", + "X, Y = np.meshgrid(x, y)\n", + "Z = f(X, Y)\n", + "fig = plt.figure()\n", + "ax = plt.axes(projection='3d')\n", + "ax.contour3D(X, Y, Z, 50, cmap='binary')\n", + "ax.set_xlabel('x')\n", + "ax.set_ylabel('y')\n", + "ax.set_zlabel('z');\n", + "\n", + "\n", + "#x = \n", + "#X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "#Y_grid = f(X_grid)\n", + "# print(X_grid.shape)\n", + "# print(Y_grid.shape)\n", + "\n", + "# # Show function\n", + "# FIGSIZE = (8, 5)\n", + "# plt.figure(figsize=FIGSIZE)\n", + "# plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# # Show function with noise\n", + "# plt.figure(figsize=FIGSIZE)\n", + "# plt.plot(X_grid, Y_grid,'k--')\n", + "# plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\n", + "ax = plt.axes(projection='3d')\n", + "ax.contour3D(X, Y, Z/1e9,50, cmap='viridis',)\n", + "ax.scatter3D(X, Y, Z/1e9 + np.random.normal(0., .1, X.shape))\n", + "ax.set_xlabel('x')\n", + "ax.set_ylabel('y')\n", + "ax.set_zlabel('z');\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "X_samples = np.random.uniform(0.5,4,(10,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[3.36541656 1.08466771]\n", + " [3.54163585 2.37629653]\n", + " [2.24224801 2.25782966]\n", + " [1.11677425 3.71434854]\n", + " [0.76977944 1.93927648]\n", + " [3.26969457 3.92280296]\n", + " [1.60195784 2.53393019]\n", + " [1.38259647 1.41755033]\n", + " [3.6581158 3.43335832]\n", + " [3.69472139 2.73142665]]\n" + ] + } + ], + "source": [ + "print(X_samples)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HNDsoBBe6p2L" + }, + "source": [ + "Lets sample 5 data points and fit a GP to the data." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 479 + }, + "executionInfo": { + "elapsed": 723, + "status": "ok", + "timestamp": 1617137678615, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "tBd7Gkt26tS2", + "outputId": "87479380-6eb8-47fc-aa0c-189e0b10e60c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2353686321.7203183\n", + "0\n", + "1961508557.2790656\n", + "0\n", + "1921966780.073187\n", + "0\n", + "2375991152.3553042\n", + "0\n", + "1976404821.3648868\n", + "0\n", + "1962994505.0645378\n", + "0\n", + "2839844670.1759753\n", + "0\n", + "2523211908.05838\n", + "0\n", + "2509929239.0474505\n" + ] + }, + { + "ename": "IndexError", + "evalue": "index 1 is out of bounds for axis 1 with size 1", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\GPy\\kern\\src\\kern.py\u001b[0m in \u001b[0;36m_slice_X\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m 114\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 115\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_all_dims_active\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'float'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 116\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mIndexError\u001b[0m: index 1 is out of bounds for axis 1 with size 1", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 23\u001b[0m \u001b[1;31m# Identify the mean and covariance of the GP fit over the grid\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[0mX_grid\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m4.0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 25\u001b[1;33m \u001b[0mmean\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mCov\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_grid\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_cov\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 26\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 27\u001b[0m \u001b[1;31m# Plot the generating curve and the GP\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\GPy\\core\\gp.py\u001b[0m in \u001b[0;36mpredict\u001b[1;34m(self, Xnew, full_cov, Y_metadata, kern, likelihood, include_likelihood)\u001b[0m\n\u001b[0;32m 333\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 334\u001b[0m \u001b[1;31m# Predict the latent function values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 335\u001b[1;33m \u001b[0mmean\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_raw_predict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mXnew\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_cov\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfull_cov\u001b[0m\u001b[1;33m,\u001b[0m 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[not (isinstance(b, Observable)) for b in inputs]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 172\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moperation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 173\u001b[0m \u001b[1;31m# 3&4: check whether this cache_id has been cached, then has it changed?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 174\u001b[0m \u001b[0mnot_seen\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mnot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcache_id\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minputs_changed\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\GPy\\kern\\src\\kern.py\u001b[0m in \u001b[0;36m_slice_X\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_all_dims_active\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'float'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 116\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 117\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_all_dims_active\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 118\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 119\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_project_dim\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mIndexError\u001b[0m: index 1 is out of bounds for axis 1 with size 1" + ] + } + ], + "source": [ + "# we sample the function and look at GP prediction\n", + "# Sample from the function\n", + "# Number of samples \n", + "num_measurements = 3\n", + "\n", + "# Random sample locations\n", + "pair_samples = np.random.uniform(0.5, 4.0, (num_measurements, 2))\n", + "\n", + "x = pair_samples[:,0]\n", + "y = pair_samples[:,1]\n", + "\n", + "X, Y = np.meshgrid(x, y)\n", + "# Get the function value with noise\n", + "Z_samples = f(X,Y)\n", + "\n", + "# Set up the kernel and the GP model\n", + "k = GPy.kern.RBF(2, lengthscale=1)\n", + "m = GPy.models.GPRegression(pair_samples, Z_samples, k)\n", + "\n", + "# optimize hyperparameters\n", + "m.optimize('bfgs', max_iters=100)\n", + " \n", + "# Identify the mean and covariance of the GP fit over the grid\n", + "X_grid = np.linspace(0.5, 4.0, 10)[:,None]\n", + "mean, Cov = m.predict(X_grid, full_cov=True)\n", + "\n", + "# Plot the generating curve and the GP\n", + "plt.figure(figsize = (8,4))\n", + "#plt.plot(X_grid, Z_grid,'k--')\n", + "plot_gp(X_grid, mean, Cov, training_points=(pair_samples,Z_samples))\n", + "print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HWZyehrI64QK" + }, + "source": [ + "We can now sample the GP given our measured data points:" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 334 + }, + "executionInfo": { + "elapsed": 784, + "status": "ok", + "timestamp": 1617137710270, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "r0Gcp6PN66jx", + "outputId": "6e43b3fc-cda3-4e98-cfe8-6b59a8438388" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mean, Cov = m.predict_noiseless(X_grid, full_cov=True)\n", + "Z = np.random.multivariate_normal(mean.ravel(), Cov, 5).T\n", + "plt.figure(figsize = FIGSIZE)\n", + "plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + "plt.plot(X_grid,Z);" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7sNoGwsHYZ-g" + }, + "source": [ + "Some things to remember:\n", + "* GP will tend toward the mean as it gets further from the given data.\n", + " * Often the mean is assumed to be zero, is this best for your challenge?\n", + "* Hyperparameter optimization\n", + " * GP uses hyperparameters, e.g. the squared exponential kernel:\n", + " $k(x,x')=A exp(-(x-x')^2/2L^2)$\n", + " *$->$ Amplitude A and lengthscale L\n", + " * Optimize: m.optimize('bfgs', max_iters=100)\n", + " * Check your results: print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BYCK4d8LalYy" + }, + "source": [ + "### Active Learning Bayesian Optimization:\n", + "Need:\n", + "* $f(x)$ Model to represent data as it comes in.\n", + "* $\\alpha(x)$ aquisition function to quantify desirablity of performing each experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bFrl-0It6-IQ" + }, + "source": [ + "### Bayesian Optimization, Approach 1: Exploiting Prior Knowledge \n", + "1. Fit a GP to the data\n", + "2. Identify the GP mean\n", + "3. Find the maximum of the GP mean" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "executionInfo": { + "elapsed": 384, + "status": "ok", + "timestamp": 1617138208922, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "ANZq4F_5aUmZ" + }, + "outputs": [], + "source": [ + "# We're going to use the GP in the same way multiple times, so let's create a function\n", + "def GP_analysis(X, Y, X_grid):\n", + " # Use GP regression to fit the data\n", + " k = GPy.kern.RBF(1)\n", + " m = GPy.models.GPRegression(X, Y, k)\n", + " m.optimize('bfgs', max_iters=100)\n", + " \n", + " # Predict the mean and covariance of the GP fit over the grid\n", + " mean, Cov = m.predict(X_grid, full_cov=True)\n", + " variance = np.diag(Cov)\n", + " return mean, Cov, variance, m\n", + "\n", + "\n", + "# We will also plot the Bayesian Optimization results multiple times, so let's create a function too:\n", + "def plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample, true_max_x, true_max_y):\n", + " plt.figure(figsize = FIGSIZE)\n", + " plt.subplot(2,1,1)\n", + " plt.plot(X_grid, Y_grid,'k--')\n", + " plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[-1.5, 1.5],'m')\n", + " plt.plot(true_max_x, true_max_y, 'ro')\n", + "\n", + " plt.subplot(2,1,2)\n", + " plt.plot(X_grid, alpha_full,'r')\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[0, np.max(alpha_full)],'m')\n", + " plt.title('Aquisition function')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "rgIce_KHjOxW" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4167, + "status": "ok", + "timestamp": 1615737826671, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "BNT9RhkY6__9", + "outputId": "63c90e7b-bc5c-4a04-921c-833791d4e34c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4885935006.859061\n", + "0\n", + "4876775002.822994\n", + "0\n", + "2222486488.429311\n", + "0\n", + "2117457606.1533473\n", + "0\n", + "2493440486.881452\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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jtfdITd41yKZgi8lEeoqJ9BQrZPS/j9Yaf+RGo6GxibAtle6QYue2rezduYeuwgpUaiZ+ffDnZVaK1CRzn6BuPLaZs7CmptNYs4u7rzkTk9mM191FQflE5p589rFdjEh4EsBFTIXCmp1NXWzZ20ldm2dE9an5g2H2tndT5/RQ2+bp6ae0mBRFGcl8Znw2RZkpFKYnD2kfZF+hYIA3//wQb/3foygU4XCIFEc6D7/+MTMLx/P+9Gnc9NsH+dL55w7L+ROdUqon+BVmJPe7TziscUVq0NHA7o7UnLv6DNU71u4bpRRJFjNJDjM5jrKe13M6k/hgwxq2LPslfq8HTGZyKmZw7T1P4Q6GaWxsImBKwo8FlzdAXWMrAZONkFaQPJmCrz7Mviduwu/pAMCU7KDsirtZXR/As3Et3a17yc3KpLCwgJKSMjLT7JhkSNuoJgFcxESHJ8Ane9vZuq/zqPsxh4vWmmaXj+pWD7WtHuo7uglrY6hWcUYyUybmUJqZQkF6cszG9tZs28i/nv09i8+5kB/87F7SVIBgZxNnLh4PwNmv/SMm5RjNTCZljOM+QveCL3hwUlff5Lvo825//03mB5o4ZxET5yzC7+2mZtvH7K3chqvDSXG2HYA3f/VNKjeuIa+kAmUy0VRXxYnnXc4F37wdlzdIc3MKT5tNROfPM5lMhJSJOmc3rmA6ZGbSpGFrPVBfjw6HcSQbzfXK5yLJFCYnK4OsjDQjcfEIzfZi5JM+cDFstNZUt3rYWNdOdat7RNS2fcEQta0edre6qWn19NxM5KUlUZ6dSnl2KsUZyTGfVlMFu5lamk9ZdiptdTs4+TPHx/T8YnACoXDPinTRLPvuQGi/IW99f/YGwgdNZlK1eR27N39EzfaNdLW1cMoXr2buqedgMpnoamvt6fN2ZBgJea4OZ0+fuD0zm06Xh71791Df0ECLsw1f2EzJzONx+YLU7K4iZEnpmWWvL5OCFIvCkWzFkWwl1dbbJ2+3Gc34EugHTvrARULzB8Nsre9kY107Tnf/w2ViqdMboKrZze4WN3vaPIS1kVA0LieVihw75dmpMZ9gQykoTE+mIteOt7Gai85fyhNPPMGs2RdAiQTvRGM1m8hIMZGRMrCkwej0tz2z6fmDeKafi/uCpUY2fKTGH81+3/je6zTW7Oo3iW3je69z0gVXkplmJ3PaVGZOm3rQ+dpLzDTWVtJQ9yEN9fU0O53Y88pZcM7luHxBVr/zKq3mFGyZ+ZjsWWBNOegYJgWptoMD+4HPU20S6GNFArgYMi5fkI9r2/lkb3tcx2zryPCuymY3lc0umrp8AGSlWplflsX4XDtFGckx7x+0RW4axufaGZ9rJ9Vmoa2tjUWfuxSr1cpxxx0X0/KI+FFKRaaGPXJNLRzWfPWk21hQnsmpZ1+AxZ5JZ3eAokef5+3XXuaEz19xxGNk5hWSmVfI1OMW9/t+ck0mjbWVNG5ZSVNdFS0N+5i/9DKWXPUfuLwBXnriQVLySglnFeFJy8ZtcxBQNnz9dB0oRSSoRwJ6khlHT5C3YI/MipdiM2OSQD8oEsDFoDndftZVO9ne0BW3Oci11rS6/exscrGzsYu2yOIIhenJLJ6Uw8Q8Y9KUWKv6aCUfvfki+6p3MWH8OO775S+ZWWwE6lAoxJVXXkltbS3Lly+npKTkCEcTY5HJpEhLtvLj7317/zdmFnLD0vl0+0M4PX5aI/ONt7iMaUyPJgnvuDMu2O/nUCiI39tNij0FryfEuCQPjZtfp7quim5XJwBLr/4WZ1zxTZpbWnnt/54grWgCKTnFWNNz0Uk2vEGj9au+w9vv+HmlMKa47VOD3y/QS43+iCSAi2PW1Onlw91OKptdcevfbvP42dHQxc5GF06PHwWUZKUwtyyTibkOHMmx/ycedjuZWV7AnAmFvFareLu+hgXz5rBq1SoWLVrEddddx2OPPcYdd9zBa6+9xiOPPMJnP/vZmJdTjA4pNjMlthRKMnubvaOtUA2d3p6Jhlq6Br6IiNlsIcWeBhjLwl723V/0HNfV7qSproqM3AIsJhPK086+dW/S1riXaE6VUoqrfvhr5p/2edqa6tm69j0yiieQkleGtqX26SIIRRbsCdBwiEAfbbrv6Zc/YIhd9PUky+gfRnkgCeDiqNV3dPNhlZPdLe4j7zwMXN4gnzZ1saOhq6d5vCQzhdPK8piY54jLghHpKVYm5zsoS7dw0ecvJzk5mVWrVnHddddx3XXXAdDR0cE999xDMBgEjC/DG2+8ka997WsxL68Y3ZRS5DiSyHEkMbPYSFzzBUPUt3vZ297N3rZuGjqPftU+pRRpWTn7zWdfWDGZ255+G7/PS8veaprqqmisq6J44jQAqrd8xIsP3t6zf0paBgVlE7jklp9TOGMync5mvB4/OUXloMz7z4QXnRwnMiNeuyfAnrbu/aYmjrKaVU9gT4sG+GTjefT10Vabj1sWulKqDHgaKMRYVOgxrfWDh/sdyUKPr/qOblZXtlLT6jnyzkPMHwxT2exiW0MndU5j2cr8tCSmFqYxJT8tLjVte5KZyQVpTC1IozgzBa011157LU899RT/+Mc/OO+88454jCMtfiHEcInOe1DT6qbO6emZqGiohcNhOloaaKytpKmuqifAX/n9X5GZV8g7zz/OK4//CrPFSm5xOfllE8gvm8AZl95Ist1BOBzGdMAaAYFQ+IDZ70L7zYQXfTzw/sQUWQMgOgteWmQdgLRooE+2DDrbfqxkoQeB72qtP1JKpQHrlVL/0lpvjWOZRD8aO72srmyNeY1ba82etm621neyq8lFMKxJT7Zw/PhsphWmxaVP22YxMTnfwbTCdMqyU/b7j/7www/z1FNPceeddw4oeAMSvEXc2CymnoRKMPqrq1uM0Rp1zqFbotdkMpGVb6zcNm3hyQe9P3vxWaRl5tAYDe61lWxbu5KlX74ZgJcf/QUbV7zWE9jzyyZQUDaBKcctJvMw3wFaazz+3sAenVs/+ryx00el103ogEqs2aR6AnpaZEXAtMgCM+nJRpA/mkWHhlPcArjWuh6ojzzvUkptA0oACeAjRKvLx/uVrVQ2uWJ63s7uAFvrO9lW30mnN4jNbGJaYRrTitIpzkiOedAzmxTjclKZXpTOhFx7v2PEV61axS233ML555/P7bff3s9RhBjZ0pOtzCnNZE5pJsFQmLq2bnY1uahqdg3r5Et5JePIKxm332uhUBCz2QhP42fMx+t20VhbyUfvvoLX3UV6Tj53PvceAP94/Fe0NzeQXzaegkiAzysdj9WW1JMQV3CIc/cN8l09M/P1zq9f43Tj9h187XabuSegp6VY91sC2BsIxWxa4xHRB66UqgDmAx/GtyQCjDvx1ZWtbK/vGnDSy2CFwpqqZheb93VS6zSa6MuyUjhxopFBfqwrZw1GfnoSM4rSmVqYRqrt8P9VysvLufDCC3n00UcPau4TItFYzL21c63z2dtuBPNdTS66vMFhP380eAPMO/Vc5p1qTB2staarrYWutpae973uLqq3bmDDu6/0vFY+dQ63/PavAKz425PYklN7grs9I6unEqCU6g3y6f2XJRTWPYG90xukq7t3jv3GLh+7ml37NdV/UNnC299dMkR/icOL+0xsSikHsAK4W2v9t37evxG4EaC8vPy4mpqaGJdw7PAGQqzZ7WRjXTvBGA0Ha/P42bLXWNCkOxDCkWRhRnE6M4vSjQUjYizVZmZaUTozitLJS0uK+fmFGMm01uzr8LKz0Rj54fINfzAfKL+3m+a91TTV7cZssTLnpLMA+MllJ9HlbO7ZLzUtkxM/fymf/+p3ANi2diW5xeVkF5bud+MwUFpr3L5Qz+p4Z80o4KLjyo78iwM0YpcTVUpZgVeAN7TW/32k/SWJbXiEwpqP69pZs9sZk6U8Q2FNVYuLTXs7qHN2oxRMyLUzqziD8pzUmE/uYFKKitxUZhanMz7XcVTznu/YsYM77riDBx54gOLi4mEspRAjSzRHZXtDFzubuuI6edPhhMNh2pv2GX3stVU07amibMpsPnPOxXjdLm79kjEvg9liJbdkHPllEzhh6YXMOGEJ4VAIv6+b5FTHgM83JtYDV0YbxlOAU2t9y0B+RwL40NvZ2MV7O1voiMFyni5fkM17O9i8twO336htzy7JYEZxOo44DP3KSLEyszidGcXpx7Ruttaac889lw8++IBPP/2UgoJD9bQJMboFQ2GqW91sre+iusUdtwmdjlYoGKBu55be7PjaSprrdnPqRV/lxHMvobG2kl9efy4ZuQVGAl3pePLLJjDjhCXkFPVfyx4rWeiLgS8Dm5RSH0deu1Vr/WocyzRmNHV5WbGjmT1t3cN6Hq01+9q9bNzTTmWkr2hcTiqnl2RQkWuPeW3bbFJMyLMzuySD8uzUQSXE/fOf/+T111/n17/+tQRvMaZZzCYm5acxKT+Nbn+I7Q1Gt1hTpy/eRTsss8VKxfR5VEyf1+/7yXYHn//qd3uC+/q3l+H1uMguKCGnqIxdGz9k2WO/7MmMzy+bgOf4a0nOSItJ+ePeB340pAY+eB5/kA92tbJ5X8ewzp4WDIXZ0djFx3XttLj8JFlMzChOZ05JxmGHfgyXjBQrs0szmFGUPiQTvfh8PmbNmoXFYmHjxo3YbLG/JiFGuqYuL1v2dbK9vism3XPDTWtNl7OZpFQHSSmpVH6ylreee4SmuiramvYBUN/UQmFezhGONHAjtQYuYigc1mzc087qqtZh7atyeYN8sredTXs78AbC5NhtnDEtn6mFaTHPJDcpxfg8O3NKMhiXM7ja9oF++9vfsmvXLt544w0J3kIcQn5aMvlTkzl5Ui6VzW427e1gT5tnRCwtfCyUUqTn5Pf8HF3jHcDX7aFlXy2ZmZkxK48E8DFgT5uHd3c009I1fM1ZjZ1eNtS1s7Oxi7CGiXl25pZmUpqVEvNx244kCzNL0pldknFMfdsD8ZWvfAWHw8HnPve5YTm+EKOJxWxiamEaUwvTaHP72bS3wxh5Mozjy2MtKSWVksj0sbEiAXwU8/iDrPy0mW31XcNy/LDW7G5x81FtG/vavdjMJuaUZjKvLHPA6yIPpdLIIiaT8hzDtlRoIBAgHA6Tm5vL17/+9WE5hxCjWZbdxilT8vjsxBx2NrnYWNdOfYc33sVKSBLARyGtNZ/s6eD9ypZhaS4PhMJsq+9kQ2077d0B0pItnDw5l5nF6TFfEchmMTG9KI05pZnkOoZ/3PZPf/pTXn31VVauXInDMfChJUKI/VnMJqYXpTO9KJ2mTi8b93Swo6FzyKZwHQskgI8yTV1e3t7WRMMw3NF6/EE27ungkz3teANhCtKTOGdi4bDWeA8l225jTqkxBC1WNw0rVqzgnnvu4dprr5XgLcQQyk9P5qwZyZw8OZfNezvYuKeDzhgMbU10EsBHiUAozOrKVjbUtg/59KftHj8batvZUt9JKKwZn2vnuPIsijNjOy+5UjA+1868ssxBDwE7Wk6nk6uuuopJkybx4IOHXTRv1Nh5y04AJv/P5DiXRIwVyVYzCyuyWVCeRVWLiw217cM+1DWRSQAfBapb3Ly9vWnI71ibOr2sq2ljV5MLk1JMK0pjQXkW2fbYZl0nWU3MLM5gXmkmGamx71sPh8PccMMNNDY2snr16jFT+3Z9HNtFbISIMplUz7jypk4vH9W28WmjK2EmiIkVCeAJrNsfYvmOJrY3DF2SWnR6xHU1bdQ6PdjMJhaMy2JeWWbMZ0vLcdiYV5bJtMJ0bJb4LRASCAT49NNPufvuuznuuOPiVg4hxqL89GTOnlXESZODfFzbzid720fstK2xJgE8QW1v6GT5juYhG4ahtaaqxc3aaieNnT5SbWYWT8xhdmlGTBPTos3k88uyKM9Jjdl5DxQOh3nyySe56KKLSE9PZ/ny5WRnZ8etPEKMdY4kCydNzuX48dls3tfBhtr2Md9PLgE8wXR5A7yzvYmqZveQHC8U1nza2MW6mjacbj8ZKVZOm5rHjKL0fte9Hi5JVhMzitKZV5YZl5naAK644gr8fj92u53Kykref/99Ojo6+Pa3v01OztDNrCSEOHY2i4kF5VnMK81kZ5OLtdVOmodxjouRTM7u1UEAACAASURBVAJ4Atm8t4MVnzbjDw6++SgYCrO1vpP1NW10eoPkOGycPbOQyfmxzSjPttuYW5bJjKL+m8m11ixbtoyysjIWLFgw5OffunUrM2bMAGDv3r20tLTg8XhQSvHoo49yww03DPk5hRCDZzKpnslhqlvcrKtpo87piXexYkoCeALo9AZ4e1sj1S2D/8fpD4bZvLeDj2rbcPtDFKYnc+qUPMbn2mOW1a2UsaDJ/LKsI05x+uc//5mrr74agC984Qv89Kc/Ze7cuYDRzL169Wr+/ve/k5mZyS233ILdbh9wOX7/+99z88038+yzz3LppZeyYsWKwV2YECIuKnLtVOTaaejwsqbaSVWzK2Gnaz0aEsBHuKGqdfsCITbu6WBDXRveQJjSrBSWzsyO6VSnNktvM3nWETLZtdYopbjkkkvo6uqitbWVX//618ybN48vf/nLPPXUU1RVVXHSSSdhtVoJBAI8+uij3H///Vx88cWHvSatNbfddhv33HMP5513Hueff/5QX6oQIg4KM5K5YG4xLS4f66qd7GhwDfmw2pFEAvgI1eUN8NYQ1Lq7/SE+rmvn47p2/KEw43PtLKrIoigjZYhKemSZqVbmlmUOeKa2119/ndtvv50333yTrKwsvvnNbwLwrW99iwceeAClFEopJk2axLJlyzj11FP55JNP+Na3vsU111zDSSedRHFxcb/HDoVCfP3rX+fxxx/nhhtu4OGHH8Zikf8GQowmuY4kzp5VxIkTAqytdrI1MofFaBPX5USVUk8A5wFNWutZR9p/rCwnunVfJ8s/bRrUUAm3L8hHtW1s2ttBIKSZlOdg0fgs8tOSh7Ckh6YUlGenMq8s86ia5//yl79wxRVXMHv2bJYtW0Z5efmAzxkKhdiwYQMLFy5Ea81bb73FmWeeud+5ly9fzmmnncaPf/xjfv7zn8d8oZVEsmHJBgDmL58f55IIMTid3gDrq9vYvLeD4DAH8m8smUiydehG7ozk5USfBH4HPB3ncowIHn+Qt7Y1Udl07BNouLxB1te0sWlfB+GwZkpBGosqssiJwTzh0Ds3+byyo5/w5cUXX+TKK69k8eLFvPrqq0c9YYrZbGbhQuPf+euvv865557LRRddxB/+8IeeJf6WLFnC+vXrhyUhTggxMqUnWzltWj7Hj89mXU0bm/a0j4o51+MawLXWK5VSFfEsw0ixq8nF29sa8RzjuO7O7gDratrYuq8TjWZaYToLK7LIitGQrKxIM/mxzk3+5ptvctlll3HCCSfwz3/+c9CznS1dupT77ruPW2+9lfXr1zN58mR+8IMfcPrpp0vwFmKMsidZOHVKHgvHZbG+po1PEjyQHzKAK6X+V2v9ZaXUf2qt4zb5s1LqRuBG4KiaUxOFLxhi+Y5mtu7rPKbfb/f4WVfTxrZ64/dnFKezaFw26TFYzjM66crc0swjZpMfybx587jqqqt48MEHSUtLG3TZTCYT3/ve9zjppJO47LLLeOutt3qy2YUQY5s9ycIpU/JYWJHFuurEDeSH7ANXSm0FzgGWAUuA/b6dtdbOISmAUQN/ZSz2gdc5Pby5tfGYZhNq8/hZW+1ke0MXJqWYVZzOceOySEse/sCdYjMzszidOaWDX/f7jTfeYMmSJSQlDV8Tf0dHB/v27WP69OnDdo7RSPrAxVjh9gWHrGl9pPSBPwK8DkwA1rN/ANeR18UxCIbCfFDZyke1bUc9VrHV5WNtdRufNnZhNinmlmZy3LismMxTXpiRzJzSDKYWpA16ljatNXfddRd33HEHv/jFL/jhD384RKU8WEZGBhkZGcN2fCFEYos2rR83Lou11U427xn+ZLehcMhvfa31b4DfKKV+r7X+RgzLNKo1d/l4fUsDLUc59V+Ly8ea3U52NrmwmhULyrOYX56JfZgDt9WsmFqYzpzSDArShyaD3efzcf311/dM0vLtb397SI4rhBCD4UiycNrUfI4bl8WaqpE//OyI3/7DGbyVUs9hNM/nKqX2AD/RWv9xuM4XT1prPqpt44NdrUd1Z9fU5WXNbieVzW5sZhMLx2WxoDyLFNvwLjCS67AxuzSTaYVpQ9oc1NHRwfnnn897773HXXfdxa233ipDuYQQI0p6spUzZxSwqCKb1VWtbG/oHJEzu8U7C/3yeJ4/Vjq9Ad7Y3HBUC9M3dBqBe3eLG5vFxPHjs5lfljmkwfRAFpNickEas0szKMkcnoledu/ezc6dO3nuuee47LLLhuUcQggxFDJSrZw9q5BFFVmsrmplV9PImqI13uPAR73tDZ28s33gk7Lsa+9mzW4nNU4PSRYTn5mQzbzSTJKGMXDnOmzMKslgelH6sN0gRKdGnTdvHpWVlaSmxm+pUCGEOBo5jiTOm1NMU6eX9ytbhmRdiqEgAXyYeAMh3t3exPaGriPuq7Vmb3s3H+52sqetmxSrsRb3nNLMflfoGgo2i4mpBWnMLEkf9mlVtdbcfPPNFBYWctttt0nwFkIkpPz0ZL40v5Q9bR7e39XCvnZvXMsjAXwY1Dk9vLGlgS5v8LD7aa2pdXpYs9vJvg4vqTYzJ0/OZXZJBtZhWItbKSjOTGFmcTqT89OG7ebgQHfddRcPP/ww3//+96W/WwiR8EqzUrl0UTlVzS7er2w96qTkoSIBfAgFQ2Her2xlwxGGh2mt2d3iZk21k8ZOH44kC0um5DGzOH3Qw7P6k55iZXpRGjOLMshIHf5x4lEbNmzg7rvv5sUXX+Saa67h3nvvjdm5hRBiuE3IczA+1872hi5WV7bScQxzegyGBPAh0tTp5Y0tDbS4/IfcJ6w1u5pcrK120uLyk55s4fRp+UwvSsNiGtrAnWQ1MSnPwfSi9JguGRoOhzGZTLjdbk477TQA7rjjDm677TapfQshRh2lFNOL0plSkMamvR2YTbH7npMAPkjhsGZNtZM1u52HHC8YCmt2NHSxrsZJmydAVqqVz80oYGpBGqYh/LDNJsW4nFSmF6UzIdc+LLX5vrq7u/nVr37FCy+8QHt7O+3t7ZjNZtra2rDb7bz88svMmzdPJlERQox6ZpNiXllmTM8pAXwQnG4/b25poL6j/0SGYCjMlvpO1te00eUNkuuwcc6sQiblOzANUW1UKaM/ZlphGpPyHcM6zOxA9913H3feeSenn346xx13HJmZmWRlZfW8f+qpp8asLEIIMdZIAD8G4bBmfW0b/67sf1IWXzDEpj0dbKhrx+MPUZSRzGlT86kY5IIfUdFktCkFaUzOdwz7bGx97d69m7a2NhYsWMAtt9zCKaec0tNULoQQInYkgB+lFpePN7c00th5cK3b4w/ycV07G/d04A+GKc9OZVFFFiWZg++DNilFSVYKk/IdTMp3HPPc55WVlVRWVvb0UWdmZhIIBLBYLEcs47Jly7j66quZMWMGH3zwARkZGRK8hRAiTiSAD1AwFGZNtZN11W0H9XV3dgf4qLaNLfs6CYY1k/IcLKzIGvTc4Vazoiw7lUn5DibkOgY9feorr7zCF7/4RUIhY83xtWvXsnDhQv7whz/wq1/9issvv5wrrriCWbP2XxguGAz2LDqyYMECnnnmmUGVQwghxOBJAB+AXU1drPi05aBlP1tcPtbXtLGjsQsFTCs0lvTMttuO+VyOJAvjc+2Mz7NTnp06ZOPBV61axcUXX8z8+fN54IEHcDgcTJkyBYCJEycydepU7rvvPn7xi19QXl7OiSeeyHPPPUdHRwcXXngh77zzDtdffz2//e1vSU4emkVNhBBCHDsJ4IfR6vKxfEcztc7eafO01uxp62Z9bRs1rR6sZiPzcH5Z5jGtxW1SisKMJCpy7IzPtZOXljQsw62ee+45ysvLefXVV8nLy9vvvaVLl7J06VIaGxt54YUXWLVqFYFAAKUUdrsdk8nEH//4R7761a8OebmEEEIcG6VH0szsR7Bw4UK9bt26YT9PU5eXtbvb2NnU1TMhS2vjXjbsqKHelIfTBylWM/PKMplTmoG3o4WdH31AzfaPmXvy2Uyef+Jhj5+eYqU8O5VxOamUZ6fGJHM8HA7jdDrJzc096t+NzmMuxpYNSzYAMH/5/DiXRIixSym1Xmu9sL/34loDV0qdDTwImIHHtdYxnarr3//+N3/6059YtGgRKSkp/G3ZK+ROnENLl5eTLriStW++xPuv/hV/wUzMU07BklmI2dvB6fMmMzXfzvO//iHv7NxCU11VzzGPX3rhQedJsZkpzUqhLMsI2FmDaGIfiPb2dlavXs3777/PBx98wBNPPEFFRcUxBW9AgrcQQoxAcQvgSikz8BBwFrAHWKuUWqa13hqrMlx55ZVUVVXx2GOP9SnYX0BrOjo7WfHS/xLsaiW7ZBGFjhRmZHYzsSCHgpIMOp3N7N7yEQVlE/jMORczef5nKRo/BZPJRLLVzJplT3LOOeew5DMLyHMMT7P4gdatW8f111/Pxo0bATCbzcyfP5+GhgYqKiqG/fxCCCFiJ25N6EqpE4E7tdZLIz//CEBr/YtD/c5QN6H/4om/cf+P/xNnwx5SHOl4PS50OAwmEyrJju7uwl4wjq/c/Scmlpcc8jjJVjMlWSmURjaTz8XMmTPp7Ozk3HPPJSsri8zMTL785S8zd+5cdu3axVNPPYXf72fOnDlcfvnlmAYxlWp0+tKWlhYuvPBCzjrrLBYvXsyiRYtwOBzHfFwxtkkTuhDxN1Kb0EuAuj4/7wFOiGUBJs5ZxH8++Dz33Xge7g5n5FUF4TC6u4vUjGy+/5vnSMvK2e/3kqwmSrNSKctKoTQrlVyHbf8adloyGzdu5Nvf/jaffPJJzzSjixcvZu7cuezevZu7774bi8VCIBDgkUce4ZFHHmHmzJk9h6irq+Phhx9m9erVpKen8/DDD1NaWsoHH3zAypUrsdvtOBwOdu7cycqVK1mxYgW5ubmsWLEiBn85IYQQ8RbPAN5fm/JBzQFKqRuBGwHKy8uHtAAuX5ANdW14A6H9SxUpRbROrBQUpCczIddOeU4qBWnJR5zDvLCwkOeee26/16KtHWeeeSbhcJhwOMyTTz7J9773PU455RRqa2tpbGzkRz/6ES+++CJaaxYtWkRnZydms5Ho9u6773Lbbbftd9wrrrgCj8dDWlraMf8thBBCJJYx24T++HtV3PXCv9n3zI8ItNaS7MjE5+lCh0OYTGaSHWl4OtuZMHkab739NuPLiofkvP1paWlhw4YNnHXWWezbt4958+Zx9dVXc/PNNx/Ud621xuv14na7cblcmM1mysrKhq1sYuySJnQh4u9wTejDu1zV4a0FJiulxiulbMBlwLJYnXxCnp2cpo8ItNZSMG4Sp19yHTocwmK1EQ6H+N53/4sZM2ZQtXM7ry57aVjLkpuby1lnnQVAcXExe/fu5f777+838UwpRUpKCrm5uVRUVEjwFkKIMSpuTeha66BS6mbgDYxhZE9orbfE6vynTyvgB9/9T/6Sa2fuyWdTUVbEgklFXHL+UlauWMFNN93EN79+A3/961+56aabYlUsAKzWo58QRgghxNgypidyeX5dHZ3dAT4zIYcZRelDuja3EIlOmtCFiL+RmoUed4sqsinLSsEyRPONCyGEELEypgP4+Fx7vIsghBBCHBOpegohhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYDiEsCVUhcrpbYopcJKqX6XSRNCCCHEocWrBr4Z+H/AyjidXwghhEhocVlOVGu9DUApFY/TCyGEEAlP+sCFEEKIBDRsNXCl1FtAYT9v/Vhr/fJRHOdG4EaA8vLyISqdEEIIkdiGLYBrrc8couM8BjwGsHDhQj0UxxRCCCESnTShCyGEEAkoXsPIvqSU2gOcCPxTKfVGPMohhBBCJKp4ZaG/BLwUj3MLIYQQo4E0oQshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYDiMoxMCDHyOeY54l0EIcRhSAAXQvRr8v9MjncRhBCHIU3oQgghRAKSAC6EEEIkIAngQgghRAKSAC6EEEIkIKV14iyxrZRqBmqG8JC5QMsQHm+kkuscXeQ6Rxe5ztFlqK9znNY6r783EiqADzWl1Dqt9cJ4l2O4yXWOLnKdo4tc5+gSy+uUJnQhhBAiAUkAF0IIIRLQWA/gj8W7ADEi1zm6yHWOLnKdo0vMrnNM94ELIYQQiWqs18CFEEKIhDQmArhS6myl1A6l1C6l1A/7ef8rSqlmpdTHke36eJRzMJRSTyilmpRSmw/xvlJK/SbyN/hEKbUg1mUcCgO4ziVKqY4+n+UdsS7jUFBKlSml3lVKbVNKbVFK/Wc/+yT8ZzrA60z4z1QplayUWqOU2hi5zp/2s0+SUuovkc/zQ6VURexLOjgDvM6E/76NUkqZlVIblFKv9PPe8H+eWutRvQFmoBKYANiAjcCMA/b5CvC7eJd1kNd5CrAA2HyI988FXgMU8Bngw3iXeZiucwnwSrzLOQTXWQQsiDxPA+qB94/0mQKPALcf5ri3Ao8PU5nvwhj/2jCI6/y0n/+fh/1Mj3TNI2GLfEaOyHNr5LP6zAH7fBN4JPL8MuAv8S73MF1nwn/f9rmW7wDP9vfvMxaf51iogR8P7NJaV2mt/cD/AV+Ic5mGnNZ6JeA8zC5fAJ7Whn8DmUqpotiUbugM4DrjTim1XCnVppRKOtZjaK3rtdYfRZ53AWuAOw/Y7aDPFPip1vrnkXIsUUrtOeC492ith7zGo5QqA76LEXwLB/p7/VznNqDkMOf5ilJq1QHH+Hr0mkeqyGfkivxojWwHJiB9AXgq8vwF4AyllIpREYfEAK9zVFBKlQKfBx4/xC7D/nmOhQBeAtT1+XkP/X9BXBhphnwh8mU02gz07zAanBhpwntNKTUzlieONJOdjPGldcEQHnM+Rm2mr5H0mY4DWrXWTcd6gMNcJ0Q+U4waT+qxniOeIs2tHwNNwL+01of8PLXWQaADyIltKQdvANcJo+P79n+A7wPhQ7w/7J/nWAjg/d3xHHhH+A+gQms9B3iL3rum0WQgf4fR4COMqQfnAr8F/h7j818N/Bt4Erim7xtKqRyl1DKlVGekn/Dn0dqkUqpCKaWVUpY++y9XSt0EvAi8DLwaeV0ppR4AzgJej3wRzor82k+UUncppewYzevFSilXZCtWSt2plPpzn3NcEOmrbI+cb3qf96qVUv8VOX5HpD8v+cALVkqdCfyrz7me7K/2HznemZHndyqlnldKPa2U6lJKbYuU9xatdWekb/xvypg++W8YNZjLgGnA/Mh52iPHelIpdVef89wQ6Xd0Rv7exX3e00qpryuldkZaSR6KVS1Xax3SWs8DSoHj+3xmPcXr79eGv2RDawDXmfDft0qp84AmrfX6w+3Wz2tD+nmOhQC+B+h7h1cK7Ou7g9a6VWvti/z4B+C4GJUtlo74dxgNtNad0SY8rfWrgFUplRvDIlwNPBPZliqlCvq89xDgxej3/WpkOxwFfCNyrL5fFJ/DyAV4FrgBuBRoxfhMPQBaazdwDrBPa+2IbPt93kqpKcBzwC1AHsYNwj+UUrY+u10CnA2MB+Zg9F/uR2v91gHnOmifQ7gAo0srF0gCUrTWf1NKmYFXMNY9qACKgf/VWm8DbgR8GAEg88ADKqVOB34RKXdR5Bj/d8Bu5wGLgLmR/ZYOsLxDQmvdDizH+Lv21fN/NHIjl8EI7y46nENd5yj5vl0MXKCUqsb493V63xvjiGH/PMdCAF8LTFZKjY98MV0GLOu7wwF9wRdg9MONNsuAqyO1t88AHVrr+ngXaqgppQqjNSql1PEY/8ZbY3TukzCakp+P3JlXAldE3jMDFwJ3aK3dWuvNHKbmEbmGqUC91vq/D3g7gJHwtQnjhmF75LwdQPdRFPlS4J9a639prQPA/UAK8Nk++/xGa71Pa+3EqDnNO4rjH8kqjFr3HyLPozc7x2ME7e9FbkQygfcj742PPB7qM70SeEJr/VEkSPwIo/m9os8+92qt27XWtcC7DO019UsplaeUyow8TwHOxPjc+lpGb6vNRcA7OpIBlSgGcp2j4ftWa/0jrXWp1roCI6a8o7W+6oDdhv3ztBx5l8SmtQ4qpW4G3sDISH9Ca71FKfUzYJ3WehnwH0qpC4Agxh3SV+JW4GOklHoOI1s3N9J0+ROMBBK01o9g1K7OBXZh1NKujU9JB2cA13kR8A2lVBAjmF0Wwy/Ba4A3tdbRlYiejbz2AEYN18L+fdaHW1lvMUZAC0T6E7OBLqXU1yPv/y5y7BkYgbsu8vPNR1He4r5l0FqHlVJ17N+P3tDnuSfyO0OlAeM6v4zxJZ8cudbXIue6HiPDvO9n6gB2HOYzLcboRgFAa+1SSrViXFN1n/NGeSLHHG5FwFORGzkTxk3eKwd8D/0R+F+l1C6M76HLYlCuoTaQ60z479tDifXnOeoDOPQ0pb56wGt39Hn+I4w79YSltb78CO9r4KYYFWfYDOA6f4cR3GIqUtu4BDArpaIBIgkj238usBnjC6uM3hpJeZ9DuCOPqUCn1nqVUmoHcL/W+nGl1FeA6yM3KVG/UUrlA88D72mt1x3QnXukG5d9wOw+16Ai5ds7kGs+Ajd9ks0iX+gHLYmotV4VOXUFsBtYiNG8fR2R7N6+n6lS6hqMboND2YfRGhE9rx0jcWgorumYaa0/wUjQO/D1vt9DXuDiWJZrqA3wOhP++7YvrfVyjK6CmH+eY6EJXYhY+CIQwqgRz4ts04H3gKu11iGMZKw7lVKpSqkZ9Ely01o3YwSZq5SRxftVYGJ/J1JKLVJKnaCUsmIESm/k3AdqBHKUUhmHKPPzwOeVUmdEjvVdjP7lD47y2vvzKUaN+vORY9+GcUMzEGswxr3fq5SyK2NykMWR9xqB0gP66ft6FrhWKTVPGcP47sGY86D6mK9EiBFKArgQQ+Ma4E9a61qtdUN0w6g5XhlJYrkZo7m2ASNL/U8HHOMG4HsY/bszOXQgTcfoN27DaAJvxei/3o/WejtGklqVMrLMiw94fwdwFUa2fgtwPnC+NuZLGBStdQfGRBaPY9yYuDGSegbyu6FIWSYBtZHfuzTy9jvAFqBBKdXSz+++DdyOkblfj3ETlIhN0UIckSxmIkSc9GkWPyneZRFCJB6pgQshhBAJSAK4EEIIkYCkCV0IIYRIQFIDF0IIIRKQBHAhxCFFhqx9EhnKZVfGvOkHzm0thIiDhGpCz83N1RUVFfEuhhBCCBET69evb9FaHzQJEiTYTGwVFRWsW7cu3sUQQgghYkIpdcgpl6UJXQghhEhAEsCFEEKIBCQBXAghhEhACdUHLoQ4Ct3d0NgIzc3Q1GRsTid0dEB7u7G5XODxGPt6PODzQTAIgQA7Gy8GNJOzngWljM1kAputd0tOhtTU3s3hgPR0yMjo3bKzISend8vKMo4jhBgUCeBCJKrOTqiqgspKY6uqgj17oK7OeHQ6+/89pXqDa1qaEXhTUiAvD5KSwGoFiwXXO7MBBafVQ3S0SigEgQD4/cbm9RrlaGgAt9u4IejsNG4IDsViMc6Vn29sxcX7byUlUF4OBQUS6IU4DAngQox0bjds2gQbN8LWrca2bRvsPWCJ65wcI/CNGweLF0NpKRQW9gbKvDyjNpyWNrDAuGSD8fjkMSzmFQj01vSdTmhtNR5bWoyWgMbG3sft26G+3qj592W1GsF83DioqNh/mzjReE8CvBjDJIALMZJ4vfDRR/Dhh7B2LWzYAJ9+CuGw8b7dDtOnwxlnwLRpMHmyEcwmTDBq1COF1Qq5ucY2EOGwEdz37u1tRYhuNTXw9tvGe33nrbDZYPx449onT4ZJk4zHyZONIG82D8ulCTFSSAAXIp5aW+G992DFCnj/ffj4Y6P2ClBWBgsWwKWXwvz5MHeuUcMejbVOk6m3pWD+/P738fuhthaqq3u7DKLdBytXGi0VUTabcWMzdaqxTZtm3PhMnQqZmTG5JCGGmwRwIWLJ4zGC9ZtvGrXKTZuM15OT4YQT4LvfNR5POAGKiuJb1pHGZjNq2ZMmwZln7v+e1kZz/M6dxrZjh9FysWMH/POfvTdFYHQrzJhhBPQZM3q3/PzYXo8QgyQBXIjhtmsXLFsGr71m1LZ9PiNgL14MP/85nHoqHH+8kUAmjo1SRmAuLISTT97/vWAQdu82+tq3bevdnn4aurp698vNNQL5zJkwa5axzZxp5BYIMQJJABdiqIXDRh/2yy8bgXvbNuP1mTPhpptg6VIjyKSkxLecY4XF0ts3fv75va9rbfSrRxMDt2wxtmeeMTLpo4qKegP67NnGNmOGkb0vRBxJABdiKGhtBO3nn4e//tVIxLJYYMkS+MY3jMAhC/GMLEoZmfqlpfC5z/W+Hg3smzcbAX3TJuP5739vJBlGf3fSpN6APns2zJljJNRJ8pyIEQngQgzG9u3wv/9r1Npqaox+2qVL4Z57jKAtCVOJp29gP/vs3tdDISNxbtOm/beXXurNjk9NNVpa5szpDeqzZw88G1+IoyABXIij1dZmBOynnzaGeplMRg3uZz+DL3xhZA3nEkPHbO5tiv9//6/3dY/HaILftAk++cTYXn4Z/vjH3n2Kioxg3nebNs244RPiGEkAF2IgtDaGKv3hD/DCC0Yi2rx58Otfw+WXS8b4WJaaCgsXGltUNCs+OgFPNLg/+KAxHA6MLpbp0w8O7EVFRiuAEEcgAVyIw+nogKeegocfNoYkpafDddfBDTcYAVyI/vTNij/rrN7XAwFjmFs0qG/caAwrfOaZ3n2ys/dvgp8zx2iWt9tjfx1iRJMALkR/tm2D3/3OaCZ3uYxx2U8+CRdfLNnH4thZrb3jzi+/vPd1p9NIlIs2wX/y0GT/fwAAEuVJREFUCTzxRO/kNEoZE9P0DeqzZ0vS3BgnAVyIKK3h3Xfh/vuNMds2G1x2GXzrW/s3jwox1LKz4ZRTjC0qHDbGr0cDerQZ/u9/702aS0kxaud9s+FnzTIWgpFm+FFPArgQwaAx9Ov++415yPPzjYS0r31NZucS8WMyGbXuiRPhS1/qfb1v0lw0qP/zn/CnP/Xuk5vbG8yjgX3mTGMhGzFqSAAXY5fPZzSR33uvMTxo6lQjSe2qq4yZ0oQYifpLmgNjdbfomPVocO/bDA/GXATRSWmi29Sp8u89QUkAF2NPdzc8/jjcd58x4cqiRfDf/22M2x6NC4WIsSE/31il7owzel8Lh435CaKBPbq98Ubv/PDR4XEHTiE7ebKRKS9GLPl0xNjh8xmB+557YN8+o7/xj380soSlv1CMRiaTseTq+PFwwQW9r0ez4aMBPdoU/9JLvUvX2mxG7Twa0KMBfvx4SZwbISSAi9EvEDAyyH/+c2N96ZNPhmefNRYREWIs6psNf8klva93dxuzC0YD+5YtsHo1PPdc7z7Jycb49b5BfeZMGDdOWrBiTAK4GL20NiZdufVWY0WwE04watxnnik1biH6k5JirMd+4JrsLlfvgi/RwP7uu/DnP/fuY7f3H9jLyuT/2zCRAC5Gp+XL4Qc/gDVrjC+RZcvgvPPki0SIY+FwGEveHn/8/q+3tx8c2N94w5j8KCot7eCgPmuWMcmN/H8cFAngYnTZsQP+67/glVeMxSj+9Cf48pelz06I4ZCZCZ/9rLH15XT2Ls8aDezLlu0/P3xW1v4BPbrJ+usDJgFcjA5OpzF2+6GHjGE2v/ylMQGLrLktROxlZxu5JiefvP/rTU0HB/b/+z+jJh9VWLh/QI+uv+5wxPYaEoAEcJHYgkF45BG44w5j3vIbbjACuUzAIsTIk59vbKed1vua1saokE2begP75s3w6KNGUl3U+PH7zzg3ezZMmTKmh7qN3SsXie//t3fvwVXWdx7H318RxQooI4wokqUOjPUySDWASmtVrq1WvNAWQRCLpupYYLR11BYd9Q9sayvqriIudmWpWEVKkXIRWh3AQki4KcJ2h23dEmWqXFYaEGnId//4nTQxJnAgJ+d3nud8XjPP5Fweku8vv/B8z/O7rlgBd94Zpr8MHAiPPx7+U4tIcphBt27haLj/et1Ssg33Xt+0Kaw6d/BgOOf448PdecM14s8/v2g+wCuBS/J88AHcc0/YwamkBF59NSw1qQExIunRcCnZa66pf33//jDVrW7u+jvvwNKlYVXFOqeeGhJ5795h18Dzzw9z2tu2zX85WpESuCTHwYNhW88f/SgsyvLjH8N992l3MJFi0q5dSMqNt/PdseOzu7lt3AhPPRWuFRAWpjnvvPp/W5fYO3bMfxlyRAlckmHdurC5SGUlDBkSBqv17Bk7KhEpFJ07wxVXhKNOTU2YmbJxI2zYEI7XXgtrxNfp2TPMe7/ggvqvXbrkP/6jEC2Bm1l3YCbQFagFprv7E7HikQK1dy9MngxPPBH+U82eDd/5jprLReTwjj22fg76qFHhNXfYvh3Wr68/KivDjoR1uneHCy8Myby0NDwuwH71mHfgNcDd7r7OzDoAa81sqbtvjhiTFJKlS6GsDN57D267DaZMCfNORUSOlhmcfno4rryy/vXdu+sT+tq14Zg3r/797t3rd4Hr2zd87dQp//E3EC2Bu/t2YHvm8d/NbAvQDVACL3a7dsHdd4f1y886K4w2/8pXYkclImnWqdPnm+D37KlP6JWVUFERNnyp07NnWJ2uf//wtU+fvG7NWhB94GbWA/gyUB43Eolu3rxwt71zZ1jDfPJk7VUsInF07Bg2PWq48dHu3SGhV1SEpZrffDNsjgRhlPvgwWGqWx5ET+Bm1h54FZjk7nuaeL8MKAMoKSnJc3SSN7t2wYQJYWpYnz6wePHnR5mKiMTWqVPYEGnQoPrX3n8/JPPy8rwuLBM1gZtZW0Ly/pW7z23qHHefDkwHKC0t9TyGJ/kyf34YYb5jBzz0UJgalrL5miKSYt26hbUorr02rz825ih0A2YAW9z9F7HikIj27IGJE0Nfd+/esGiR7rpFRLIUc/f1AcAY4Aoz25A5vhExHsmn5ctD0p45M/R1V1QoeYuIHIGYo9BXAprMW2zqVlD7+c/hzDPDCPPGWxGKiMhhRR/EJkVk8+awmMLGjaHP+7HHtEWgiMhRitmELsXCHZ55Jqxm9P77YSnDadOUvEVEWkB34NK6duyA8ePDSPOhQ8OAta5dY0clIpJ4ugOX1vPmm2G3n8WLw17dCxcqeYuI5IgSuOReTQ088EBYkrB9e1i9GiZNCvv7iohITqgJXXJr27YwUG3lShg3LuzHq75uEZGcUwKX3Fm4EMaMgQMHYNYsGD06dkQiIqmlNk1puX/8A+69N2zN1707rFun5C0i0sp0By4tU1UFI0fCW2+FvbunToUTTogdlYhI6imBy9FbtgxuuAE++STsIjZqVOyIRESKhprQ5cjV1sIjj8CQIXDqqWGjeyVvEZG80h24HJmdO+HGG8Pc7tGj4dln4cQTY0clIlJ0lMAle2vXwvXXw/btYWnU730PTPvRiIjEoCZ0yc6MGTBgQGg+X7kSbrtNyVtEJCIlcDm0/fvD6PJbboGvfjVMEevbN3ZUIiJFTwlcmrdtG1x6KTz3HNx3X+j37tw5dlQiIoL6wKU5y5fDt74VpojNnQvXXhs7IhERaUB34PJZ7vDkkzBwIHTqBOXlSt4iIgVICVzqffJJ2IBk4sSwLOqaNXD22bGjEhGRJiiBS1DX3z1zJjz0UGg279gxdlQiItIM9YFLmBZ2/fXhDvy3v4Wrr44dkYiIHIbuwIvdtGlw+eVw0kmhv1vJW0QkEZTAi9WBA3D77eEYNEj93SIiCaMEXow++ggGDw533/fcAwsWwMknx45KRESOgPrAi83GjTB8OPztbzBrVtiQREREEkd34MVk7ly45BKoqYEVK5S8RUQSTAm8GLjDww+Hkea9e0NFBZSWxo5KRERaQE3oabdvX1ic5ZVXYOzYsH93u3axoxIRkRZSAk+zqqrQ371+PfzsZ3D33doCVEQkJZTA06q8HK65BvbuhddeC0ujiohIakTtAzez583sQzPbFDOO1Jk1C772NfjCF2D1aiVvEZEUij2I7T+AYZFjSI/a2rBv95gxcPHFYXGWc86JHZWIiLSCqAnc3ZcDu2LGkBrV1XDddfDoo1BWBkuWwCmnxI5KRERaifrA0+Cvfw1rmL/zDjzxBHz/+xqsJiKScgWfwM2sDCgDKCkpiRxNAVq1KgxW+/RTWLgQhg6NHZGIiORB7D7ww3L36e5e6u6lXbp0iR1OYZk1Cy67DDp0CIPVlLxFRIpGwSdwaUJtLdx/fxisdsklYcrYl74UOyoREcmj2NPIZgOrgLPMrMrMxseMJxGqq2HECJgyBW69FV5/XYPVRESKUNQ+cHe/IebPT5xt28JgtbffhqlTYcIEDVYTESlSBT+ITTLKy8OyqPv2hf27v/712BGJiEhE6gNPgtmz61dWW7VKyVtERJTAC1ptLTz4IIwaBf36hZXVzj03dlQiIlIA1IReqPbtg5tugjlz4OabYdo0OO642FGJiEiBUAIvRNoGVEREDkMJvNCsWRNWVquu1jagIiLSLPWBF5KXXgqD1dq1C4PVlLxFRKQZSuCFoLYWJk+GG26Avn3DlDENVhMRkUNQE3ps1dUwdiz85jcwfjw8/bQGq4mIyGEpgcfUcBvQxx+HiRM1WE1ERLKiBB7LW2/BddfB/v3wu9/BsGGxIxIRkQRRH3gMv/wlXH45dOwYtgFV8hYRkSOkBJ5PNTVw113w3e+G0eZr1sDZZ8eOSkREEkgJPF9274arrgp93RMmwKJF0KlT7KhERCSh1AeeD1u2hJXV3nsPnnsObrkldkQiIpJwSuCtbcGCsBnJCSfAG2/AgAGxIxIRkRRQE3prcYcpU8I0sV69oLJSyVtERHJGd+CtYe/eMFDt5Zdh5EiYMSPs5S0iIpIjSuC59pe/hM1INm2Cn/4UfvADLc4iIiI5pwSeS7//PXz722Ft84ULYejQ2BGJiEhKqQ88F9zhscdgyBA47TSoqFDyFhGRVqUE3lJ794ZdxH74w7A06qpV0LNn7KhERCTllMBbYutWuOgieOUVePTRMGitQ4fYUYmISBFQH/jRWrAAxoyBY44Jq6oNGRI7IhERKSK6Az9SBw/CAw/AN78JPXqE+d1K3iIikme6Az8SO3fC6NGwZAmMGwdPPx1WWBMREckzJfBsVVbCiBGwfTs8+yzceqvmd4uISDRqQj8cd3jmmbAMam0trFgBZWVK3iIiEpUS+KFUV4eBanfcAQMHwvr10K9f7KhERETiJnAzG2ZmfzKzrWZ2b8xYPmfzZujfH158ER55JIw6P+WU2FGJiIgAEfvAzawN8G/AYKAKqDCz+e6+OVZM/zRzJtx+O5x4Irz+OgwaFDsiERGRz4h5B94P2Oruf3b3A8BLwPCI8YRV1W6+GW66KTSVb9ig5C0iIgUpZgLvBmxr8Lwq81oc774bkvYLL4R53suWwemnRwtHRETkUGJOI2tqGLd/7iSzMqAMoKSkJPdRuMP06TBpEnTsqCZzkYz2fdrHDkFEDiFmAq8Cujd4fgbwQeOT3H06MB2gtLT0cwm+RXbvDlPC5syBwYND33fXrjn9ESJJ1Wtqr9ghiMghxGxCrwB6mdkXzew4YCQwP28//Y9/hD59YN48+MlPYPFiJW8REUmMaHfg7l5jZncCS4A2wPPu/m7eAli5Etq0CV/798/bjxUREckFc89tq3RrKi0t9crKytx8s9raMOpc23+KiEiBMrO17l7a1HvFuxLbMccoeYuISGIVbwIXERFJMCVwERGRBFICFxERSaBEDWIzs4+A/83ht+wM7Mjh9ytUKme6qJzponKmS67L+S/u3qWpNxKVwHPNzCqbG92XJipnuqic6aJypks+y6kmdBERkQRSAhcREUmgYk/g02MHkCcqZ7qonOmicqZL3spZ1H3gIiIiSVXsd+AiIiKJVBQJ3MyGmdmfzGyrmd3bxPvjzOwjM9uQOW6JEWdLmNnzZvahmW1q5n0zsyczv4O3zeyCfMeYC1mU8zIz+7hBXT6Q7xhzwcy6m9kbZrbFzN41s4lNnJP4Os2ynImvUzNrZ2ZrzGxjppwPNXHO8Wb260x9lptZj/xH2jJZljPx19s6ZtbGzNab2YIm3mv9+nT3VB+Enc7+BzgTOA7YCJzT6JxxwL/GjrWF5bwUuADY1Mz73wAWAQZcBJTHjrmVynkZsCB2nDko52nABZnHHYD/buLvNvF1mmU5E1+nmTpqn3ncFigHLmp0zh3AtMzjkcCvY8fdSuVM/PW2QVnuAl5s6u8zH/VZDHfg/YCt7v5ndz8AvAQMjxxTzrn7cmDXIU4ZDsz0YDVwspmdlp/ocieLcqaCu29393WZx38HtgDdGp2W+DrNspyJl6mj6szTtpmj8QCk4cALmcdzgIFmZnkKMSeyLGcqmNkZwJXAvzdzSqvXZzEk8G7AtgbPq2j6AnF9phlyjpl1z09oeZXt7yENLs404S0ys3NjB9NSmaa3LxPuZhpKVZ0eopyQgjrNNLduAD4Elrp7s/Xp7jXAx8Ap+Y2y5bIoJ6TjejsVuAeobeb9Vq/PYkjgTX3iafyJ8DWgh7v3BpZR/6kpTbL5PaTBOsLSg+cDTwHzIsfTImbWHngVmOTuexq/3cQ/SWSdHqacqahTdz/o7n2AM4B+ZnZeo1NSUZ9ZlDPx11szuwr40N3XHuq0Jl7LaX0WQwKvAhp+wjsD+KDhCe6+090/zTx9DrgwT7Hl02F/D2ng7nvqmvDcfSHQ1sw6Rw7rqJhZW0JS+5W7z23ilFTU6eHKmaY6BXD3/wPeBIY1euuf9WlmxwInkeDuoubKmZLr7QDgajN7j9Ate4WZzWp0TqvXZzEk8Aqgl5l90cyOIwwmmN/whEb9hlcT+uHSZj4wNjNy+SLgY3ffHjuoXDOzrnX9TGbWj/A3vjNuVEcuU4YZwBZ3/0UzpyW+TrMpZxrq1My6mNnJmccnAIOA/2p02nzgpszjEcAfPDMCKimyKWcarrfufp+7n+HuPQg55Q/ufmOj01q9Po/N5TcrRO5eY2Z3AksII9Kfd/d3zexhoNLd5wMTzOxqoIbwCWlctICPkpnNJozW7WxmVcCDhAEkuPs0YCFh1PJWYB9wc5xIWyaLco4AbjezGuATYGTSLoIZA4AxwDuZ/kSA+4ESSFWdZlPONNTpacALZtaG8AHkZXdf0Og6NAP4TzPbSrgOjYwX7lHLppyJv942J9/1qZXYREREEqgYmtBFRERSRwlcREQkgZTARUREEkgJXEREJIGUwEVERBJICVxERCSBlMBFREQSSAlcREQkgf4fGeN6n/W923IAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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y/MM/BcBktlA0cTpfuvnnTJo4kXgsislsoT0c4V8v/Y2Nm7bgmHMitXoSgXAa2JyQDOCd0RgP/Op/+OLXr2PGjOlUbllLzc4tFJRPpbB8GumerOH/A2HkLHS3XEDkkK8zmxQu24ET6hw8yY7dYsZhTU7IYzUm55Hhcv0nAVwcM7TW1Aci7N5nBO2W9q5hOea+YCcVLUbtvb4tgtZGM2Sxx8ncEjelXhc56X0H7N6qtm/gvu9+mWhX5IBm0pyiMk7//JWkWxVfuuxyJhZkk++2SyLSKHNYzRS4zRS4DwzusXiC1o4umtu7aG7v7Nn6qrFPmrOE6x/8K20tTVRt30Dltg1Ubd9ApteY5/2fjz/Ae/94BrPFSmtDDbNPOJXzj5+GzeHi3uuvJhEKYE/3ENeaWEeAaONe/rEzyOuNezC3d9KwsYLOf/yDzrrtuOxWCsqn8rUfP4zVZse/rwG704UzPXNU/l7xRO9A3389s+xZTVjN3ZvqeW4xKSxmhSW5nKyp95KzSqEUByxHqxQoks/ZP/dfd+tzQicTKumVUJmAuN6/FG40nkhOKqSN5XLjCaIJTTRmLKEbjRur9EXjmiuWl4/a/00J4GJciyc0Va0hdjW1s7e5fVDNoAfrjMWpaglR0RKioqWDULLfNC/DzpIJXsqyXBS6nQOaunPXhvd5+OavEe2K4M0r4qZf/4Uit5Nbvv459uzcxomTsvjWt7415LKL4Wcxm8jLdJCXeWBgb++M9WoWj9DY1tkzvDAzO485HzudOR87/YD3lEydzb6aCgItTXz26v9m1rJTACOJbV/17gOT2L53GY1VuygLrCdr2rk0BKx4PnZJT4AyR/wkWqvYvi9CoRteeOgu1r/+Iu6c/J5aevGUWSw+9ZwR/fsMVFfMGG3Q3pnqkgzOaPZKSx+4GHei8QSVLR3sbGxnb0vHsAzxagtH2dPcwd7mDmp8IRIa7BYTE7JclOekMSHbhcs2uPvhtpYmfnbVebg9Xs6+4CKuveZqZk4sBaCpqYmnn36aq6++esjXIFIv3BWnKbh/gp+GQKTnBvBI+jOMrCuWoCkYoT7QvYV7kuSsKoG900eiaTdtu1bTuGEVBcUTuO5+YzKdlT/+DtHOMPkTplJYPpWC8mmHHSsv+nbVKZOHtf9fktjEuBeLJ6hoCbGjMcje5o4hD/PSWtPS0cXupnZ27+tgX7I64HVZmZiTxqScdArdjkH31ykFBZkOij12bvraJaz94D1Wr17NrFmzhlRuMfYEwlEakkMJ6/xhmoNdJIbpe1lrjT8cNSYZCoSp90doDRldRyYFOS4LpTkZFLkdvP/EL6ja+B5NNXtJJJebnX38J7jy9gcBeO2ZR/DkFVJYPo2cojLMFuuwlHG8Gc0ALk3oYsxKJJvHtzUE2b2vfViCdmOwk11N7exqau8Z4lXodrB8Sg6TctPwumz9Pl48HqO5thJneiaZWbk4rGbKvA4m5WVQnp2G02ams7OTebNn8h+XfUmC9zGqe/z19AJj2tauWILGtgg1vjC1/jANgTDR+OACulKqZ1a+WUVG33c4Gqc+OWNgnT/MuiofazQw+xKKll7G4kwb6fEgunkv3sx0o0yRMC/85mckEkZrgdlqJa9kIiedfxnHn3kxiXic1sZasgpKMJkkkXK0SAAXY06dP8y2hjZ2Nrb3u/nxULonadnRFGRXUzvBSAyTghKvi8VlXiblpg14YotEIsGTP7+Zda//nVhXJ9+84TauvOF7bHx3FT+47mYeeughnIXGDbXdbuf+++8f0jWI8cVmMVGa5aI0ywUYeRyNbRGqW0NU+8LU+4c2YsJpNTMpN51JuUZwjsUTNLZ1Uus3WgC2N3UQjStgEu5OK1VbGin2OLnxyfcJN1XRWLmThsqd1O/dgcVq3NA211dx1xVnYLM7yZ8wmYIJUykon8qcj51ObvGRl4gVgyMBXIwJgVCULfVtbGtoG/IYba01ze1dbG8MsrMxSFsyaJdluTh+YjaTctOG1AS2+oWVfPDPv/CFS7/MGZ86nZNPPpkSr4uNaBoaGli2bBlXXXUV27Zt4+6772bhwoVDuh4xvplNiiKPkyKPk2UYAbc+EOmZaKgpGBlS4pTFbKLYawxvBKNla1/7/oC+Z187W+rbAEi3OykuXEb5zFM40evE4zSa0dMyvXzuOz+isXIX9RU72b7mTT7451/IKZpAbvEE9m5ew/MP390T2I0kuqmke7JljoIhkAAujlqdsTg7G9vZUtdGrT885OP5Q0bQ3t4QxBeKohSUeV0sm5jN5Nw07EMI2oVuB1Pz0wnV7eb7D97NhRdeyB9//7sDvpzOPPNMtm7dyg9+8APuv/9+zGYzsdjAhtgIYTEfWEMPd8Wpag2xt7mDyl6jIgbLZFLJuQUcLCrz9uSD1Cab9KtaQmxvCALGlKzFHiclXhfTP34ey5zWnn/zHW3+ngS4eDyO2WJl41sv8+6LT/Wc6zv3PkPptLlUbttAzc5NFJZPI3/CFNIyPUO6hmNFypLYlFKlwEqgAEgAD2mt//dw75EktvFPa02NL8zmujZ2NQUH3ffXLdQVY0djO9sbgjS0GZNOFHucTM/PYEpe+pCmEs3PdDC9IJ0peRm4kzWRzs5OfvKTn3Dttdfi9XoP+d61a9cSDAb5+Mc/fsjXCDFQWmuagp3sTY6YaGwbWu38UOfwhaLU+ELU+sPU+MI9Nw1pNmPColKvi+JkDb33TazWmnZ/C/UVO2mo2MmyMy7C7nTx90d/wStPPNjzusysXAomTOU/brsXuzONttZ92BxOHK704b2YEXBMZKErpQqBQq31WqVUBrAGOF9rveVQ75EAPn51dMbYUt/GptrAkJvIY/EEe5o72NYQpLKlg4SGnHQbMwoymZafToZj8Nmz2ek2pudnML0gA0+vhDatNaFQiLS0tCGVXYjh1NEZY29zB7v3tVPdGhryDXFfujPda1qNOf57B/R0u8WYgTA5C6H7oIB+wDH21dNQsZOGyl00VOyktamWb/50JUop/vj/vseaV5/Dm19MYflU8idMoXjyTBZ94uxhv56hOiay0LXW9UB98nlQKbUVKAYOGcDF+KK1prIlxMbaAHv2dQxp6Ex3MtqW+ja2NwbpiiVIs5tZWOZlRkEGOemDH8uabrcwvSCDGYUZfU6xCbBy5Upuu+02Xn/9dcrKygZ9LiGGU5rdwpxiN3OK3XTFjPkRdjW1s2cYhlp2653pPrfEbQTjUJRqX4haX5jq1v1N7ul2C6Veo8m9xOskM9lypZTCm1eEN6+ImUs/2iq17MyLySudlAzuO9i+5i1ySyb2BPAnfnYT4fa2nvHrheVTySme0JNkN14dFX3gSqlyYCHwXmpLIkZDR2eMzXVGbbt7qNZQjrW1oY0tdW34QlEsJsXkvHRmFmRQmuXCNMgEGZvFxOTcdGYWZlCW5Tpsok1TUxPXXHMNixYtori4eLCXIsSIsllMTM3PYGp+BvGEprKlgx2N7expbh+29ewhGYzTbHjTbMwr8fQ0uXcv6FPREmJrMqC7nVajdp4M6umHGPExZd5Spsxb2vNzPBbtWfAHwGy20FS1m83v/gudMK5lxnEns+LHDwPwxl//gDs7n4LyKeQUlmEyj49piFM+kYtSKh14Hfix1vrZPvavAFYAlJWVLa6srBzlEorhUuMLsaEmwK6mduJDGAbT/eWzua6NvS0daG0kkc0qzGRqfvqg5yFWyugfn1WUydS8jEOuzXywa6+9lnvvvZfNmzczY8aMQZ1biFTZH8yD7N43fDXzQ+lOiqvxhalJBvXO5Dk9Liulydp5idc54NkNo12dNFXvpaFyJ870TGYt/Tixri5uPG9hz+Q0Fpud/LLJnHjOF40x7IkE/qY6PHlFwzKG/ZjoAwdQSlmBF4CXtNb/c6TXSx/42BONJ9ha38b6mgDNwaFNbhwIR9lUG2BLfRuhrjgum5mZhZnMLszEmzb4prJMp5VZhZnMKszE7RpY//jevXuZPn06l19+OQ899NCgyyDE0SAaT7A3mT9S0dwxpBvt/kpoTXOwkxqfsexunT9CV9wI6NlpNkq8TkqzXBR7nIMOjJ3hDhqrdvf0sddX7GD+SWdw/JkX09pQw48uOw2700X+hKkUTJhCYfk0Zh1/CrnF5QM+1zHRB66MNsnfAlv7E7zF2BIIRfmwxs/musCQmufiCc3ufe1sqg1Q7QujgPKcNOYUZVKenTboqUzNJsXk3HTmFGcesYn8cB599FHMZjO33nrroN4vxNHEajYxLT+DafkZRKJxdjQG2VrfRp3/0MuGDpVJqZ7FYBZN8JJIGJn03U3um+uMCgBAboa9pw+9yOPod2ub3ZlG2fR5lE2f99F9rnQu+vYPk4F9O1ve/Tfvv/Rn3Dl55BaXU7V9A3/99V09/esF5UaQ714xMJVSmYW+HHgD2IgxjAzgZq313w/1HqmBH/2qW0Osq/azZ1/7kIavdNe2N9e1EY7GyXBYmFPkZlZhJumOwd93ZqfbmJ08zlCGkHXTWrN582bmzJkz5GMJcbTyh7rYUm/kmgx0edChiiUSNAY6e5rb6wMR4lqjFORnOHqa24s8Tqzm4ZnGNehrweZwYHemsWfjav726P/QULGTcHtbz2u+fc+fKJ+1kJpdW6jesckI8BOm8p2z5h8bTegDJQH86BRPaLY3BFlb5WPfEJrJEwnN3pYONtYEqGwNoRRMykljTrGbCUOoJVtMiqn5GcwtcVPscQ66fAcLBAK43e5hO54QRzutNdWtYTbXGbksQ5nSdbC6Z6LrrqE3tkVIaGNxlvxMR08feqHbgWWYAjoY197W2kTD3p3UV+zk+DMvxpGWzku/v5eXfv+rntftrqhi0oTSYTuvBHAxIiLROOur/ayv8Q9pne3urPSNtQHaO2Ok2y3MLspkTpF7SLXtrDRjWMuswsxhvSMGeO211zj33HN56aWXOOGEE4b12EKMBZFonG0NQTbWDj2/ZSi6YgnqA2Gqk0lxTW2daIxusoJMo4Ze6nWR77ZjGYGFVhKJBL7GWhoqd9FYtZun7rsT5yCXFu6LBHAxrAKhKGurfGypbxt0xqrWmvpAhPU1fnY1tZPQxlzkc4vdTMoZet/2vBJ3z1STwy2RSHDCCSdQV1fHjh07cDqHr1YvxFjUEIiwsTbAjuQcDKnUGYtT54/0NLk3JW8uzCZFoTvZ5O4ZuYB+TCSxibGnsS3C6gofO5uCg+7fjsUTbGsMsqEmwL5gJzaLiXklHuaVuAe0VOfBMhzGhBVzi90DXj1soH7961/z/vvv89hjj0nwFgIocDsocDs4eVoOW+uDbKzx09zelZKy2C1mJuakMTHHmBWxMxrvmfK1xhfm3T2tQCuWZEAvHuGAPpKkBi6OqLKlgw8qfFS3hgZ9jLZIlA01ATbXBojEEmSn25hf4mFGQcaQEk/KslzML3UzKSd90LX2gaisrGTOnDmccMIJvPTSS7KSkhCHUOsPs77aP+R5H4Zb5ICAHuq50eiuoRuLszgpyBxcH7rUwEXKaa3Z2dTOBxWtNLUNrn9La02tP8yH1X727OsAYHJuOvNLjWSywQY/m8XErMJM5pW4yR7CFKmD8fzzz6OU4uGHH5bgLcRhFHucFHucdHTG2FgbYGONkeOSag6rmcm56UxOrofeHdBrfWFq/GHe29vKe3vBrBT5bjslHmNhlkK3Y9iy3IeL1MDFAeIJzdb6NlZXtOIb5KIisXiCHY3tfFjtZ197Jw6LyWjeLnGTOYSFRLLSbMwv9TCzMGPQs60Nh4aGBgoKClJ2fiHGonhCs6upnXVVPuoDIzeufKgi0Th1/nBPLX1f0EiKMynIyzCa3Is9zkOOQ5cauBh10XiCTbUB1lT6Bj3Os6MzxobknXY4Gic7zcZpM/KYUZAx6OEcSkF5dhoLSj1MyB78ULKhqq2tpb6+niVLlkjwHkY7/3MnAFPvmZrikoiRZjYpphcYK/k1BCJ8WO1jR+PR1bwORg19Um46k5I19M5YnPpApGc99HVVPtZU+gDITbdT5HEkA7pzxPNvDiYB/BjXFUuwvsbP2kpfzxKAA7Uv2Mm6ah87GtqJa83EHCPglnqH2ExelMmCEs+QpkkdDjvRXfEAACAASURBVIlEgq9//eusWrWK6upqGfs9jNo/bE91EUQKFLgdnOEu5MQpUdZXB9hYGyASHfxQ1JFkt5gpz06jPNtIiovGEzQEItT5jSb33jPFeZxWfKEubj9vdCZ2kgB+jIpE43xY7WddlX9Q/3G01lS0hFhX5aPaF8ZiUswuzmRBqWdI2eQel5UFpR5mFWWmtJm8W2NjI5dddhkvv/wy99xzjwRvIYZRhsPK8qk5LJ2YxZb6NtZV+fAPsututFjNJkqzXJRmuViG0TWwL9hp9KP7w6M6Jl4C+DEmEo2ztsrHh9X+Qc1RHosn2NoQZF2VD18oSrrdwomTs5lT7B5Sv09ZlosFZR4m5aQdNclhr7zyCl/+8pfx+/08+OCDrFixItVFEmJcsllMLCj1ML/Eza6mdtZUHt395L2ZTapnGN3iCV6uOmXyqJ1bAvgxIhKNs7bSx7pq/6AmWgh1xdhQE2BDsn87L8POp2fnMzUvA/Mgh29ZTIoZhZksLPOQM8rZ5L01NTXx29/+FgCXy8VJJ53EokWLeOedd/B6vbz88svMnTs3ZeUT4lihlOpZs7zWH2Z1RSt7mzuGtK7CeCYBfJwbauD2dXSxtsrH1oYg8YTRv72ozDOkYWBpdjPzSzzMK/H0a0GRSCSCzWYblrV6D1ZXV8dpp53Gtm3ben539913s2jRIm6++Wa++93v4nKNzIxuQohDK/Y4KV5QTEt7J6srfWxPfgeJ/SSAj1PdTeXrqgYeuLXW1PkjrKnysbe5A7NJMbMgg4VlXrKGkFCWl2lnYamX6QX9r7W/8cYbXHDBBRQVFXH33Xfz6U9/+iOvqaqqwuFwkJeXN+Ayffe736WmpobXX3+dZcuW0dHRgd1utAaYzWYJ3kKkWHa6nU/PLuCEydmsrfSxqTZANC6BHCSAjzudsTjrqvysrfINuI87oY21t9dW+mloi+Cwmlg6MYv5JW5cg5ycXymYlJvOojIPJd6BBcPf//73XHnllZSXl9PR0cGDDz7YE8AbGhp46qmneOKJJ3j33Xdxu91UVlYOOMns/vvv5/rrr2fx4sUAPcFbCHF0yXRYOWV6HssmZrOu2sf66qM3c320SAAfJ7qHg62u8A34H3UsnmBLfRtrq/wEwlHcTiunTM9lVmHmoGcesllMzC7KZGGpF7dr4JO3VFVV8dWvfpXly5fz5z//GZfLRVubsRbvxo0bmTdvHgDz5s3jzjvvpLy8vCd4V1dXU1p66OX8du3axY9//GMeeOABvF5vT/AWQhz9nDYzH5ucw+IJXjbWBFhb5RvSaohjmQTwMS4WT7C+JsDqitYBj+MOR+NsqPazPpmYlp9p58QpBUzOTcc0yP7tTKcxDGxO8dCGgZWVlfHqq6+ydOlSbDaj2T43NxeAHTt28F//9V9ccsklzJ49+4D3vfTSS5x99tncfPPN3HLLLZjNB5ahoqKCU089lVAoxE033cS0adMGXUYhROrYLWaWlGcxv9Qz5EmoxqqUBnCl1CPA2UCT1np0Rr6PE/GEZlNtgPf3tg54fuFAOMq6Kh+b69qIJTTl2S6WTMiiyOMYdGJakcfBojKvEfwHmZWuteab3/wmy5cv59JLL2X58uV9vu7CCy/kwgsv7HPfkiVLuOSSS7j99ttZvXo1jz/+eE/NvKamhlNPPZVgMMi///1vCd5CjANWs4mFZV7mlXjYUtfGBxWtBMJH91jy4ZLqGvhjwL3AyhSXY8xIJDRb6tt4b28rbQP8R9oUjLCm0sfOxnaUgukFGSwu8w56QRCTUkzNT2dRmZcCt2NQx+jt1ltv5cEHHyQnJ2fQx8jOzub3v/89J554Itdccw3Lli3jr3/9K263m9NOO43m5mZeffVVFixYMOTyCiGOHmaTYm6Jm9lFmWxtaOODvYNfz2GsSGkA11qvUkqVp7IMY0X36mDv7G6htaP/6+xqran2hVlT6aOqNYTNbGJhmYcFpR4yBrmwiMNqZm6xm/ml7kEf42APPPAAd9xxB1deeSW33377kI/3jW98g1mzZnHRRRfx1ltvcdxxx9HV1cWLL77IcccdNwwlFkIcjUwmxewiNzMLMtneGOT9va0D+s4cS1JdAz8ipdQKYAUY/aLHoj372nl7dwv7BjBFXyKh2bXPmNGoKdiJy2bmxMnZzC12Yx/kjGlZaTYWlHqYWZiJzTJ8Y7KfffZZrr76as4++2wefPDBYZuJ7eSTT2b79u14vV4Atm/f3tOfLoQY30wmxczCTGYUZLCtYXwG8qM+gGutHwIeAmM50RQXZ1RVt4Z4e3czdf7+TykYTWaUr0tmlHtc1iGvCFaW5WLRBC/lI7Qa2KZNmzj++ON58sknsViG959kd/AGJHgLcQxSan8g394Y5L094yeQH/UB/FjUEIjw9u5mKltC/X5PJBpnfY2f9dVGRnlBpoPlU3KYnDu4ucWtZsX0gpGd5tTv9+PxeLjlllu44YYbZAy2EGLEKKWYUZDJtLzuGnnLmO8jlwB+FGlu7+Sd3S3saur/EottkSjrqvxsrjNmJxpqRnmGw8K8Eg9zi939muZ0sO69915uu+023n77baZNmybBWwgxKkwmxawio0a+taGN9/aM3az1VA8jewI4BchRStUAt2qtf5vKMqVCIBTlnT3NbGsI9nvS/ub2TtZU+tjRGARgWn4Giyd4B11bLnQ7WFjmZWre4IeB9YfWmjvuuINbb72V884775jNaxBCpFbvZLfNdW28t7dlzI0jP2QAV0r9Xmv9ZaXUtVrr/x2Jk2utvzASxx0rgpEo7+9tZXNdW78m6e+eo3x1ZSsVLSGsZsW8Eg8LyzxkDiIb3GxSTMtPZ0Hp8AwD64977rmHW2+9lcsvv5yHH3542Pu8hRBiIEzJ4WezijIHPbdGqhzu23OxUmoCcIVSaiVwQLVMa906oiUbx8Jdcd6vaGVDtZ9YPwJ3Qmv27OtgTaWPhrYITquZ4ydlMb/EM6g1uNPsZuYWe5hX4ibNPnoB9PXXX+f666/nwgsv5Le//e2IrC4mhBCDYTYp5pd6mFWUyYbktNQDnd1ytB3u2/tB4B/AJGANBwZwnfy9GICBLu0ZiyfY1hBkTZUPfyhKpsPCKdNymVU0uDnKC90O5pd6mJY/+DW8h2Lp0qXcfPPN3HjjjRK8hRBHJavZxOIJWcwt9rCuyseaQSwMNVoOGcC11r8EfqmUekBrfdUolmnc6YolWFflY22Vv18LjUSicTbWBviw2k+oK05ehp0z5xQwZRDTlBrN5BksKPWMWjP5wVpbWzGbzbjdbu64446UlEEIIQbCZjGxbFI280s9rKn08WE/K16j6YjtpxK8By8aT7Chxs8HFT7C/WiKCUairKv296x3W5blYvEEL6Ve54AzyruzyecUZw56KdDhEIlEuPDCCwkEAnzwwQcfWVxECCGOZg6rmROn5LCg1MMHFa1srAn0q+tzNEgG0QiIxRNsqDVWCOvPMnf7gp2srTIyyjXJjPIyL7kZA88oL8tyMb/UzaSckc0mP5JYLMbKlSu57bbbqK6uZuXKlRK8hRBjVprdwinT81g0wcu7u1vYWh8k0d9hQyNEAvgwisUTbKwNsLrCd8QsRq01Nb4wa6p8VPbOKC/1kOkcWEa53WpiZmEm80s8ZKWlbraxRCKByWSipqaGT37yk2zbto2lS5fy2GOPceqpp6asXEIIMVwyHVY+NbuA48qzeHt3Czub+j/8d7hJAB8G0WTgXtOPwB1PaHY1tbO2ypij3Gk1c8LkbOYVuwecUZ6XaWdesYcZhRmDSmobqnA4zA9/+EOeeOIJWlpaWL58Of/4xz8oKipi3rx53HnnnZx//vkjMv2qEEKkkjfNxlnzCmlq8/LW7mYqmvs/c+ZwkQA+BF0xo497bZXviE3lXbEEm+sCrKv2E4zE8A5yjnKrWTE1P4P5JalLSgN48803ueKKK9i5cyfnnXcekyZNYs4cY0l3k8nEk08+mbKyCSHEaMnLdHDBwhJqfCHe2tU8queWAD4IkWicdVV+1tf4j5ic1h6J8WGNn421AbpiCYrcDk6ZlsvEnIHNUZ6dbmNOsZtZhZmDGvs93Kqrq4nH47z66qvSPC6EOOaVeF18/rjRnVlSAvgABCNR1lYZWeJHGk5wQGKahil56SwqG9iMZxaTYkpeOnNL3JR4XUMtfo9YzGjmt1gstLe3Y7FYcDiOXK7du3ezfv16PvvZz3LJJZdw/vnn43Q6h61cQggh+k8CeD80tUWSwbj9sFOeaq2paAmxtspHjS9sJKYVe1hQ5sE9gMS07HQbs4uM2vZwLihSVVXF6aefzs6dO3n66ae56KKLeOedd/jc5z7HF7/4Ra644goWLVrUZ8vAG2+8wQUXXIDNZuOMM87A5XJJ8BZCiBSSAH4IWmv2NHewttIIxocTjSfYVh/kw2o/raEu0u0WTpySzdwiN/Z+NndbzYopeRnMKc4c1tp2t/b2ds455xwaGxu57bbbmDlzJgCzZ8/mrLPO4pFHHuH+++9n/vz5XHDBBXz/+9/vCdArV67ka1/7GuXl5fztb3/D5Rr+8gkhhBgYpVM8jm0glixZolevXj2i5wh3xdlcF2BDTeCIS8y1d8bYkOzfjkQT5GXYWVjqYeoApirNzbAzp9jNjIKMEevbjsfjfPazn+WFF17gb3/7G2ecccZHXuP3+3niiSd49NFH2bVrF83NzZhMJq699lp++ctfcuqpp/LMM8/g9XpHpIzi2LTulHUALHxtYYpLIsTRSSm1Rmu9pK99UgNPqvGF2FzXxo6G4BFn2Wlsi/BhtZ8djUESGibnprGw1Et+hgWL5chN5TaLien5Gcwpdo9KJnlFRQVvv/0299xzT5/BG8Dj8XDVVVdx1VVXEYlEeuYqt9ls3HDDDdxxxx1YrQNf8UwIIcTIOKYDeHtnjC11bWypC+AL9V3bTiQS1OzcxLY1b7O3JYRlxidoN6VjNSvmFrsp1K1Ur3ueZx97ncqt6/ncf97O0k9f2Oexij1OZhVlMi0/A5tldMZtJxIJJk+ezNatW8nOzu7Xe3ontN19990jVTQhhBBDkNIArpQ6A/hfwAz8Rmt912ie/+qb7mDVSy/gyS1AKUVT9R5Kps2hePJMlp97KU/fcwtrVr2EY/ZpZCw6C8usPKzxMCdPzWGS28yPvvAx4jEj8JdMmc0Jn/kci087F4BEPI7JbMZlMzOzMJM5xe5RmSVt3759vP7667z22mu89tprnHPOOdx5553k5OSM+LmFEEKMnpQFcKWUGbgP+CRQA3yglHpOa71ltMrw77/+ieo9OzCZLThc6YSCfur2bEfrBC0+P6vf+jfRdj/pmbmUFRezaGIOE3PSMClF0NfM8nMvpXDiNGYsOYnM7Lye43YEWnnohq9w/Y0/4KtXfnnUlu685ZZbuPPOO4nH46SlpbF8+XI8Hg/hcFgSz4QQYpxJZQ18KbBLa70HQCn1J+A8YNQC+H8/8Cf+e8XnaKzchVKgTGZ0Ig7KxKpnH0WHg6QXlPPlL3yeCSVFB7w3w5vDed+46YDfZTqtzC7KJEs5+Ht+Nteu+Aq/+dXPyMrKIisriwceeID8/Hz+8pe/8MwzzxCNRpk/fz7XX389dvvAFy45mNPp5LLLLmPFihUsXrxY+qyFEGIcS2UALwaqe/1cAywbzQK4s3L45k9X8tMVZ9MRaE3+VoFOoMNB0txZfO9/HyfDe+i+Y7NJMTk3nTnFmZRluZJjqLN57bXX+MlPfsK6detobW1l586dPatxVVdX895772EymXj66ad58sknWblyJQsWLOg5bmVlJT//+c9ZtWoVJ598Mr/85S8BuOuuuwiHw2RkZJCens6WLVs49dRTOf/887nxxhtl3nEhhDhGpDKA9xVpPpL+rZRaAawAKCsbvmnqtNbs3tfOq1sbCUd7TYeq9pficKHQ67Iyt8TNzMK+19u22Wzceuutfb7329/+Nt/+9rcBeP7551mxYgW33HILzz33HFu2bOGuu+7i8ccfRynFqaeeSmZmZs97H374Yfbs2XPA8TwejywaIoQQx5hUBvAaoLTXzyVA3cEv0lo/BDwExjjw4Tr5T17cxgMvrqXpTzeTCAVwZniIdATRiTgmkxlHWgbtgVbu//5lfPOnK8nwZvfUtueVuCnxOoclYJ5zzjls3ryZrq4uAP70pz/x5z//mWuuuYbrrruO0tLSA16/e/duEokEoVCIYDCIyWQiPz9/yOUQQggxtoz+GpT7fQBMVUpNVErZgEuA50br5OfOL2J6aBNdzVXkT5jCJy6+Ep2IY7baSCTinHLxleRPmEJj5S62v/MyJ07J4crlEzlrXiGlPU3lwyMrK4uCggIArrvuOiorK/nFL37xkeDdzWQykZ6eTmFhoQRvIYQ4RqWsBq61jimlvgW8hDGM7BGt9ebROv+cYjcrrvombpeN+SedQYY3G4crjcnzlrJ7w/ucdN6lXPTFL1H5wb+45fvfwTRKmeQej2dUziOEEGJsS+k4cK3134G/p7IMy8+99IDnNouJM086jgWlHrxpNjhtwWHeLYQQQqTGMT0TW29up5UFZR5mF2Vit6R+vW0hhBDicI75AF7kcbCozMvk3PRRayYXQgghhuqYDuCfnlWA2yWTnQghhBh7UpmFnnISvIUQQoxVx3QAF0IIIcYqCeBCCCHEGCQBXAghhBiDJIALIYQQY5AEcCGEEGIMkgAuhBBCjEESwIUQQogxSAK4EEIIMQZJABdCCCHGIAngQgghxBgkAVwIIYQYgySACyGEEGNQSgK4UupipdRmpVRCKbUkFWUQQgghxrJU1cA3AZ8FVqXo/EIIIcSYlpL1wLXWWwGUUqk4vRBCCDHmSR+4EEIIMQaNWA1cKfUKUNDHrh9orf86gOOsAFYAlJWVDVPphBBCiLFtxAK41vr0YTrOQ8BDAEuWLNHDcUwhhBBirJMmdCGEEGIMStUwsguUUjXACcDflFIvpaIcQgghxFiVqiz0vwB/ScW5hRBCiPFAmtCFEEKIMUgCuBBCCDEGSQAXQgghxiAJ4EIIIcQYJAFcCCGEGIMkgAshhBBjkARwIYQQYgxKyThwIYQASF+QnuoiCDFmSQAXQqTM1HumproIQoxZ0oQuhBBCjEESwIUQQogxSAK4EEIIMQZJABdCCCHGIKW1TnUZ+k0ptQ+oHMZD5gDNw3i8o5Vc5/gi1zm+yHWOL8N9nRO01rl97RhTAXy4KaVWa62XpLocI02uc3yR6xxf5DrHl9G8TmlCF0IIIcYgCeBCCCHEGHSsB/CHUl2AUSLXOb7IdY4vcp3jy6hd5zHdBy6EEEKMVcd6DVwIIYQYk46JAK6UOkMptV0ptUspdWMf+y9XSu1TSn2Y3L6ainIOhVLqEaVUk1Jq0yH2K6XUL5N/gw1KqUWjXcbh0I/rPEUpFej1Wd4y2mUcDkqpUqXUv5VSW5VSm5VS1/bxmjH/mfbzOsf8Z6qUciil3ldKrU9e5w/7eI1dKfVk8vN8TylVPvolHZp+XueY/77tppQyK6XWKaVe6GPfyH+eWutxvQFmYDcwCbAB64FZB73mcuDeVJd1iNd5MrAI2HSI/Z8BXgQUcDzwXqrLPELXeQrwQqrLOQzXWQgsSj7PAOqBt470mQIPAv99mOPeDPxmhMr8I4zxrw1DuM4dffz/POxneqRrPhq25GeUnnxuTX5Wxx/0mm8CDyafXwI8mepyj9B1jvnv217Xch3weF//Pkfj8zwWauBLgV1a6z1a6y7gT8B5KS7TsNNarwJaD/OS84CV2vAu4FFKFY5O6YZPP64z5ZRSrymlfEop+2CPobWu11qvTT4PAu8Dtx30so98psAPtdZ3JMtxilKq5qDj3qm1HvYaj1KqFPguRvAt6O/7+rjOrUDxYc5zuVLqzYOO8Y3uaz5aJT+j9uSP1uR2cALSecDvks+fAU5TSqlRKuKw6Od1jgtKqRLgLOA3h3jJiH+ex0IALwaqe/1cQ99fEBcmmyGfSX4ZjTf9/TuMByckm/BeVErNHs0TJ5vJTsL40jp3GI+5EKM209vR9JlOAFq01k2DPcBhrhOSnylGjcc12HOkUrK59UOgCfin1vqQn6fWOgYEgOzRLeXQ9eM6YXx8394DfB9IHGL/iH+ex0IA7+uO5+A7wueBcq31POAV9t81jSf9+TuMB2sxph6cD/wK+L9RPv9lwLvAY8BXeu9QSmUrpZ5TSrUl+wnv6K5NKqXKlVJaKWXp9frXlFJXA38G/gr8Pfl7pZT6BfBJ4B/JL8I5ybfdqpT6kVIqDaN5vUgp1Z7cipRStyml/tDrHOcm+yr9yfPN7LWvQil1ffL4gWR/nuPgC1ZKnQ78s9e5Huur9p883unJ57cppZ5SSq1USgWVUluT5f1PrXVbsm/8WWVMn/wsRg3mEmAGsDB5Hn/yWI8ppX7U6zxfS/Y7tib/3kW99mml1DeUUjuTrST3jVYtV2sd11ovAEqApb0+s57i9fW2kS/Z8OrHdY7571ul1NlAk9Z6zeFe1sfvhvXzPBYCeA3Q+w6vBKjr/QKtdYvWujP548PA4lEq22g64t9hPNBat3U34Wmt/w5YlVI5o1iEy4A/JrdPK6Xye+27D4hg9PtekdwORwFXJY/V+4viUxi5AI8DXwM+D7RgfKYhAK11B3AmUKe1Tk9uB3zeSqlpwBPAfwK5GDcIzyulbL1e9jngDGAiMA+j//IAWutXDjrXR15zCOdidGnlAHbAqbV+VillBl7AWPegHCgCfq+13gqsADoxAoDn4AMqpU4FfpIsd2HyGH866GVnA8cB85Ov+3Q/yzsstNZ+4DWMv2tvPf9Hkzdybo7y7qLDOdR1jpPv2xOBc5VSFRj/vk7tfWOcNOKf57EQwD8ApiqlJia/mC4Bnuv9goP6gs/F6Icbb54DLkvW3o4HAlrr+lQXargppQq6a1RKqaUY/8ZbRuncyzGakp9K3pnvBr6Y3GcGLgRu0Vp3aK03cZiaR/IapgP1Wuv/OWh3FCPhayPGDcO25HkDQHgARf488Det9T+11lHgZ4AT+Fiv1/xSa12ntW7FqDktGMDxj+RNjFr3w8nn3Tc7SzGC9veSNyIe4K3kvonJx0N9ppcCj2it1yaDxE0Yze/lvV5zl9bar7WuAv7N8F5Tn5RSuUopT/K5Ezgd43Pr7Tn2t9pcBPxLJzOgxor+XOd4+L7VWt+ktS7RWpdjxJR/aa2/dNDLRvzztBz5JWOb1jqmlPoW8BJGRvojWuvNSqnbgdVa6+eAbyulzgViGHdIl6eswIOklHoCI1s3J9l0eStGAgla6wcxalefAXZh1NL+IzUlHZp+XOdFwFVKqRhGMLtkFL8EvwK8rLXuXono8eTvfoFRw7VwYJ/14VbWOxEjoEWT/YlZQFAp9Y3k/nuTx56FEbirkz9/awDlLepdBq11QilVzYH96A29noeS7xkuDRjX+WWML3lH8lpfTJ7rqxgZ5r0/03Rg+2E+0yKMbhQAtNbtSqkWjGuq6HXebqHkMUdaIfC75I2cCeMm74WDvod+C/xeKbUL43voklEo13Drz3WO+e/bQxntz3PcB3DoaUr9+0G/u6XX85sw7tTHLK31F46wXwNXj1JxRkw/rvNejOA2qpK1jc8BZqVUd4CwY2T7zwc2YXxhlbK/RlLW6xAdyUcX0Ka1flMptR34mdb6N0qpy4GvJm9Suv1SKZUHPAW8obVefVB37pFuXOqAub2uQSXLV9ufaz6CDnolmyW/0D+yJKLW+s3kqcuBvcASjObtK0lm9/b+TJVSX8HoNjiUOozWiO7zpmEkDg3HNQ2a1noDRoLewb/v/T0UAS4ezXINt35e55j/vu1Na/0aRlfBqH+ex0ITuhCj4XwgjlEjXpDcZgJvAJdpreMYyVi3KaVcSqlZ9Epy01rvwwgyX1JGFu8VwOS+TqSUOk4ptUwpZcUIlJHkuQ/WCGQrpdyHKPNTwFlKqdOSx/ouRv/y2wO89r7swKhRn5U89n9h3ND0x/sY497vUkqlKWNykBOT+xqBkoP66Xt7HPgPpdQCZQzjuxNjzoOKQV+JEEcpCeBCDI+vAI9qrau01g3dG0bN8dJkEsu3MJprGzCy1B896BhfA76H0b87m0MH0kyMfmMfRhN4C0b/9QG01tswktT2KCPLvOig/duBL2Fk6zcD5wDnaGO+hCHRWgcwJrL4DcaNSQdGUk9/3htPlmUKUJV83+eTu/8FbAYalFLNfbz3VeC/MTL36zFugsZiU7QQRySLmQiRIr2axZenuixCiLFHauBCCCHEGCQBXAghhBiDUtaErowZnVZhJLZYgGe01rempDBCCCHEGJPKAK6AtOQ4TSvGRA7XamNRBiGEEEIcRsqa0I+lVWuEGKuSQ9Y2JIdypSlj3vSD57YWQqRASrPQk5M7rMEYLnKf1vqGw70+JydHl5eXj0bRhBBCiJRbs2ZNs9b6I5MgQYpnYkuO91yQnDv3L0qpOck5onsopVZgLGBAWVkZq1evTkFJhRBCiNGnlDrklMtHRRb6YVbnQWv9kNZ6idZ6SW5unzchQgghxDEnZQG8n6vzCCGEEKIPqWxC73PVmhSWRwghhBgzUhbAD7VqjRDiKBcKQUODsTU1QUsLtLYam88H7e37t44O6OyErq79W6/E2Z2+L4IyMbXwz2CzGZvTCWlp+ze3Gzwe8HqNx+xsyM+HvDxjS0uDA1dhE+KYcEwsJyqEGACfD3btMrY9e6CqytgqK6GmBoLBvt9nsRhBNiMD0tONLSMDcnLAbjeCs9UKpv09d+0vzjcC+vxdEI0aAT4cBr/fOFdHBwQCxs+HGjHjckFJCRQXG4+lpVBebmwTJ0JZmXFuIcYZCeBCHKsaGmDjRti82di2bIHt240adW+5uUYQnDkTPvlJKCyEggJjy8szasRZWUbAHmhN+JR1lENS4gAAGO1JREFUxuOTTx7+dYmEcePg8xnla2rav9XXQ22tEfBXrTKex2L732sywYQJMG3a/m3mTJg1y7gGqb2LMUoCuBDHgpoaeO89WLMG1q0ztsbG/fuzs2H2bLjwQpg6FaZMMR4nTjRquKlmMhlN6W63UbM+nFgM6upg716oqIDdu2HnTmN7++0DWxC8XiOQz50L8+cb29y5xs2IEEc5CeBCjDddXUagfuMNePddI3DX1Rn7LBYjYJ1xBixcCPPmGYE7N3f81EQtFqPFoKwMPv7xA/dpbbQ8bNmyf9u0CR5/HB580HiNUjB9OixebGxLlsCiRUZfuxBHEQngQox1XV1GoP7Xv4wm5HffNfqRwahJf+ITsGyZsc2bBw5HasubSkoZXQCFhXDaaft/r7XRx79+PXz4IaxdC6+9Bn/8o7HfbDZq5suWwfHHw8c+ZrRQjJebHjEmSQAXYqzRGrZuhRdfhFdeMYJ2KGQ0My9YAF//Opx0EixfbvRRiyNTan/i23nn7f/9/2/vzuO1ntM/jr8ulTWmB0I5EcmopGVOqSwTylJSMxoqGonKZMkyYzdGxmBMJok2iqwRaZmQUpY6bbQooRAt0tEYibR+fn9cdz85TjrVfe7Pvbyfj8f9cE7nVtf3fO9zX+ezXdeKFTBzJkyf7r8YPfMMDBjgX6tY0b/HJ57o3+969Xz0L5IierWJZIK1a2HCBBg71h+fJaorHnMMdO7so8mmTf2YlSTPIYfA2Wf7A3wz3YIFvpb+9tsweTKMGOFf23dfT+RNm/qjfn0fuYuUEiVwkXS1ahWMGQMjR8Krr/ooe599oFkzuPlmOOssPzIlqbPbbr5noFYt6NLF/+yLL3wWZNIkf4wd639eoYIvXzRr5g9NuUuSKYGLpJOvvvIR3XPPwcSJsGmTn2+++GKf2j35ZD9TLemjUiU4/3x/gE+7T5zoMybjx/84Qq9aFU4/Hc44w2dMfvWraCFLdlACF4lt9Wp48UVfX50wwZN29epwww3wu9/5TmiN3DLHIYdA+/b+CMGL4Ywb57MozzwDAwf6WvkJJ0CLFv6oVUv3WHZY1H7gOyo/Pz+onahkhQ0b4JVXfJfzyJHwww9QrRqcd54/6tTJiTf0WYlCLvUm5UhV5Q0boKDANyCOHQtz5/qfH3YYtGoF55zjR980yyIJZvZOCCG/2K8pgYuk0Pz5MHgwPPEEFBZ6mdF27eDCC6Fhw5xI2lvLuQRe1NKlnszHjIHXXvPNiuXL+zn9Nm2gZUttTMxxv5TANYUuUtrWrPGp00ce8eNIZcv6SKtTJ3+jLlcudoQSS16eb4br0uXHkwajR/tj+HB/rZxyii+ltGnj6+0iCdH6gYtkvTlzoHt3qFwZunb1XeT//rdXRXvhBZ8yVfKWLfbay4+rDRjgI/OCArjuOj8y2L27b2Y88UR/DW05Rig5TQlcJJnWr/fRdpMmXlRlyBAfPU2Z4uudV1/tBUBEfsluu3nFt3vu8QYz8+fDHXf4bM611/qO9uOPh169vFOc5CQlcJFk+PJL6NnTu1516ODr2/ff752xHn8cGjfOufVtSaKaNeG227zM68KFcPfd3rTlz3/211zjxtC7t7/eJGcogYvsinnzvBLaYYfB7bf7qHvsWB81XXONt9kUSaajjoIbb/SGNYsWeTJft85fb1WqeBW4fv28poBkNSVwkR0Vgu8YPuMMb3Dx7LNw6aXwwQe+o/iss3wKVKS0Vavmyfzdd/3197e/+WxQ9+6+4a1lSz+quGZN7EilFOhdRqSkNm2C55/39pKnn+5r2nfdBUuWwEMPeQtKkVh+/Wv461+9Rers2b4B7r33/IjiQQf50s7YsX4WXbKCErjI9qxf70fAatTwIitr1vjnixd7TfIDDogdociPzLwQ0D33+Gv0rbfgoou8ElzLlr6b/aqr/EhjBtUBkZ9TAhfZlh9+gIcf9jXHLl1gv/18BP7++3DJJaqWJelvt9386Fm/ft50ZeRIr/Q2cKDvYq9Z09fQlyyJHansBCVwkaLWroUHHvD1xcsv941Br7wCM2ZA27ZqESmZaffdvYDQ8897w5VBg/xI4803+072006DoUPhu+9iRyolpAQussW6ddC3ryfuq6+Go4/2ylhvv+0b1nQMTLJFhQq+8fLNN+Hjj/0ExeLFPtV+yCHe/e6NN7z/uaQtJXCRDRt8SrF6dbjySp8ynzjRH6eeqsQt2e3IIz2BL1rkCf38871SYNOm/rPQs6cqv6UpJXDJXZs3e9W0GjWgWzff3PPaaz7yaNo0dnQiqWUGJ53kGzRXrPCGO0cc4cn9iCOgeXP/eVm7NnakkqAELrknBD+vXb++H63ZZx9vHjFlCjRrphG3yN57+/GzCRPg009/HKF36OC1/bt3h5kztYs9MiVwyS0zZ/q0eIsW8O23XuRi1ixvIqHELfJzVat6Av/4Y0/oLVt6jf8GDbzyYJ8+sGpV7ChzkhK45IZPP/XRQ4MG3hjiwQdhwQL/M1VNE9m+3XbzX36ffNKPpPXr5zvbe/TwUXm7djB+vDa+pZDeuSS7/e9/3vDhmGPgpZfg1lt9KvCKK/zNR0R2XIUKcNllfrRy9mzfQzJunK+TV6sGf/+7t0SVUhUtgZtZFTObaGYLzGy+mfWIFYtkoY0bvbzpUUd5V7ALLvAuTnfe6QVZRCQ56tTxafTly+Hpp31X+223+dnys8/24jEbN8aOMivFHIFvBK4LIdQAGgGXm1nNiPFItnj1VTjuOB9l167tXZsGD/Zd5iJSOvbcE9q393XyRYvghhu8yUqbNt6t75Zb4JNPYkeZVaIl8BDCFyGEdxMffwssAPQOKztv0SJo1QrOPNPPdo8YAa+/DvXqxY5MJLdUqwb/+Ad8/rmPwH/zG6/NXq2an/QYNswLJ8kuSYs1cDOrCtQDpsWNRDLSt996S8VatWDSJLj3Xu/T3aaNdpaLxFS2rJdvHT3ai8H07Om/aLdrB3l53jHtgw9iR5mxoidwMysPvABcHUJYXczXu5rZTDObWVhYmPoAJX2F4IUljjnGk3b79vDRR3D99Wo0IpJu8vJ8bfzjj723wG9/62vnNWrAySf77nYVidkhURO4mZXDk/dTIYQXi3tOCGFgCCE/hJBfsWLF1AYo6Wv+fD/S0qEDVKoEBQXw2GP+sYikrzJlvLfA8OG+U/2ee/xYWseOvk+lRw+fQZPtirkL3YBHgQUhhPtjxSEZZs0aPxZWty7MmQP9+8O0adCoUezIRGRHHXywb3b78EPf/HbGGf4zXbs2NGniv5R//33sKNNWzBH4CUBH4FQzm514tIgYj6SzEODFF326rVcv6NTJp8u7dVN7T5FMt6VIzDPPwLJl/jP+3/96V7TKlb2t75w5saNMOzF3ob8dQrAQwnEhhLqJx9hY8Uga+/RTP0967rmw//5es3zQIDjwwNiRiUiyHXggXHutV0p84w3/2X/0UZ91a9jQm62sWRM7yrQQfRObyDZt2OCb02rV8jaH99/vZ7obN44dmYiUNrMfN7ctXw69e/t0epcuvtflssv8/SCHKYFLepo61c+O3nijr4stWADXXOPHUkQkt+y/v29ue+89mDwZ2raFoUMhP9+7CvbvD6t/dogp6ymBS3pZvdorqDVp4mtgI0b4Iy8vdmQiEpuZvzcMGeKj8r59vXnKn/7ko/LOnf1ESo60OVUCl/QxZoxPlz/8sCfx99/3YiwiIkVVqOCb22bNgunT/Ujpc895gq9d26fcs7zNqRK4xLdypRdhadXKfygLCrzAg5qOiMj2mHmb4EGD/Dz5wIGw996+5Fa5sif211/PyjanSuASTwi+QaVGDT8i1rOnb0o5/vjYkYlIJtp3X9/kNn26tznt2hVefhlOOw2OPhruvtuTfJZQApc4li714yEdO3op1NmzvcyienSLSDLUqQMPPuhr5U8+CVWqwM03+39bt4ZRozK+zakSuKRWCD7VtaXxyAMP+BGxGjViRyYi2WivveCCC2DiRC/+9Je/+Ai9dWtvc3rTTbBwYewod4oSuKTOZ5/B6af7tFZ+vh8JueoqVVITkdSoXt2n0T//HF56yY+q/vOfPr3+29/60bQMKt2qBC6lLwQ/p3nssX6+u39/GD8ejjwydmQikovKlfMR+OjRsGSJ9y5ftgwuusiPo3Xr5qP0ND+OpgQupWvxYmje3M9pNmrkXYa6dVOfbhFJD5Ur/ziNPmmSH1194gnfTFu7ttdl//LL2FEWSwlcSseWte7atb1b2IABMG4cHH547MhERH7OzKfRH38cVqzw42jly3v3w7w8T+wjR3qJ5zShBC7Jt2wZtGjha90NGvhad9euGnWLSGbYbz8/jjZ1qheUuuYa/7hNG0/m110Hc+fGjlIJXJJoy7nuY4/1neV9+/pad9WqsSMTEdk5NWr4RrclS/zo2Ukn+fG0OnW8DnufPlBYGCU0JXBJjsJCbzDQsSPUrOm9ey+/3Pv8iohkunLlvFrk8OFeDObBB31WsUcPX0dv08b7Nqxfn7KQ9O4qu27kSB91jxnj7T/ffBOOOip2VCIipeOAA7xfwzvv+BLh1Vf7FPvvfw/16qVs97p6M8rOW73aX7hDhkDduj5dXrt27KhERFLn2GPhvvv8fPm4cd5AJUX7fZTAZee8+aafmfz8cy9PePvtKoMqIrmrbFnfvJtCmkKXHbNuHdxwAzRt6hXU3noL7rpLyVtEJMU0ApeSmzcPLrzQN6h17eoFDsqXjx2ViEhO0ghctm/zZujd2+uXf/GFH6UYMEDJW0QkIo3A5ZdtqQ88YYIfoXjkETjooNhRiYjkPI3AZduGD/dd5QUFXlZw5EglbxGRNKEELj/37bdw8cXwhz/4ee7Zs72soEqhioikDSVw+amCAj/TPXQo3HYbTJ7sPXRFRCStKIGL27gR7rjD6/xu3uznvHv29PKBIiKSdrSJTeCTT/x4WEGB1zLv29e78YiISNpSAs9lW7qHbWk68vTT0L597KhERKQENIWeq775Bi64AP74R2+LN2eOkreISAaJmsDNbLCZrTSzeTHjyDlTpvhGteeegzvvhEmT4PDDY0clIiI7IPYI/DHgzMgx5I6tN6qZwdtvw623ek1zERHJKFHXwEMIb5pZ1Zgx5IzFi32j2uTJ/t+HHtJGNRGRDKZNbLng2WehWzf/+KmnoEOHuPGIiMguiz2Fvl1m1tXMZprZzMLCwtjhZJYtFdXat4eaNb2impK3iEhWSPsEHkIYGELIDyHkV6xYMXY4mWPGDKhf3yuq3Xqr9+0+4ojYUYmISJKkfQKXHbR5M9x7LzRpAuvWwcSJvtO8rFZLRESySexjZM8ABcCvzWypmV0SM56Mt3w5nH463HgjtGnjZ7tPPjl2VCIiUgpi70JX5ZBkGTUKOneGtWth0CC45BJ1DxMRyWKaQs90a9d6KdTWraFKFXjnHbj0UiVvEZEspwSeyebNg4YN4eGH4dprYepUOOaY2FGJiEgKKIFnohC8EEt+PqxcCS+/DL16wR57xI5MRERSRFuTM81XX/la9+jRcNZZ8NhjcNBBsaMSEZEU0wg8k0yYAMcdB6++Cg88AP/5j5K3iEiOUgLPBOvXww03QPPmUKECTJ8OV12ljWoiIjlMU+jp7qOPvPzpO+/AZZf5Wvfee8eOSkREIlMCT1chwJAhPtLeYw8YMcKLs4iIiKAp9PT09ddw/vlejKVhQ5g7V8lbRER+Qgk83bzxBtSp4yPue+6B116DQw+NHZWIiKQZJfB0sWED3HILnHIK7LknFBT4xrUyZWJHJiIiaUhr4Olg4UK44AJvAdq5sx8RK18+dlQiIpLGNAKPKQQYPBjq1YNFi2D4cHj0USVvERHZLiXwWFatgvPO++lGtXPPjR2ViIhkCCXwGMaP94pqI0fCvff6RrW8vNhRiYhIBlECT6V16+C667yi2n77efew66/XRjUREdlh2sSWKvPm+Ua1uXOhe3e47z5VVBMRkZ2mEXhp27wZevf21p8rVngXsYceUvIWEZFdohF4aVq6FDp18i5irVrBI4+oe5iIiCSFRuClZdgw36hWUAADB/qGNSVvERFJEiXwZPv6a1/rbtcOqleHWbOgSxe1/hQRkaRSAk+mCRN81D1sGPTsCZMnw9FHx45KRESykBJ4Mnz/PfToAc2a+ea0ggK47TYoqy0GIiJSOpTAd9WMGVC/PvTpA1de6VPmDRrEjkpERLKcEvjO2rABbr8dGjeG777z6mp9+uh4mIiIpITmeHfGe+/BRRf5aLtjR0/cFSrEjkpERHKIRuA7YtMmr12enw/LlsGIETB0qJK3iIiknEbgJfXhh16UZepU7xrWrx9UrBg7KhERyVEagW/Ppk3QqxfUretJ/Omn4fnnlbxFRCQqjcB/yUcfwcUXw5QpcM450L8/VKoUOyoREZG4I3AzO9PMPjSzRWZ2Y8xYfmLLqLtOHViwAJ54Al56SclbRETSRrQRuJmVAR4CmgNLgRlmNiqE8H6smAB4/33o3BmmTfMGJP37Q+XKUUMSEREpKuYIvCGwKITwSQhhPfAs0DpaNBs3wt13Q716sHAhPPWUNyBR8hYRkTQUcw38UGDJVp8vBY6PEsmsWXDJJf7ftm2hb184+OAooYiIiJREzBF4ce25ws+eZNbVzGaa2czCwsLkRrB2Ldx0k5c+Xb7cd5c//7ySt0iKlK9bnvJ1y8cOQyQjxRyBLwWqbPV5HrC86JNCCAOBgQD5+fk/S/A77a23fNS9cKHvNP/Xv2D//ZP214vI9lXvXT12CCIZK2YCnwFUN7MjgGVAO6BDyv716dO9nvm4cdC8ecr+WRERkWSIlsBDCBvN7ArgVaAMMDiEMD9lAfToAZddBvvsk7J/UkREJFmiFnIJIYwFxkb5x8uWVb9uERHJWCqlKiIikoGUwEVERDKQEriIiEgGshCSdzKrtJlZIfBZEv/KA4Gvkvj3pStdZ3bRdWYXXWd2SfZ1Hh5CKLb9ZUYl8GQzs5khhPzYcZQ2XWd20XVmF11ndknldWoKXUREJAMpgYuIiGSgXE/gA2MHkCK6zuyi68wuus7skrLrzOk1cBERkUyV6yNwERGRjJQTCdzMzjSzD81skZndWMzXO5lZoZnNTjwujRHnrjCzwWa20szmbePrZmZ9Et+DuWZWP9UxJkMJrrOpmX2z1b38a6pjTAYzq2JmE81sgZnNN7MexTwn4+9pCa8z4++pme1pZtPNbE7iOu8o5jl7mNmwxP2cZmZVUx/prinhdWb8++0WZlbGzGaZ2Zhivlb69zOEkNUPvFHKx8CRwO7AHKBmked0AvrGjnUXr/NkoD4wbxtfbwG8jPdhbwRMix1zKV1nU2BM7DiTcJ2VgPqJj/cFPirmdZvx97SE15nx9zRxj8onPi4HTAMaFXlOd6B/4uN2wLDYcZfSdWb8++1W13It8HRxr89U3M9cGIE3BBaFED4JIawHngVaR44p6UIIbwL//YWntAaGBjcVqGBmlVITXfKU4DqzQgjhixDCu4mPvwUWAIcWeVrG39MSXmfGS9yjNYlPyyUeRTcgtQYeT3w8HDjNzCxFISZFCa8zK5hZHtASeGQbTyn1+5kLCfxQYMlWny+l+DeIcxPTkMPNrEpqQkupkn4fskHjxBTey2ZWK3Ywuyox9VYPH81sLavu6S9cJ2TBPU1Mt84GVgKvhRC2eT9DCBuBb4ADUhvlrivBdUJ2vN/2Bq4HNm/j66V+P3MhgRf3G0/R3whHA1VDCMcB4/nxt6ZsUpLvQzZ4Fy89WAd4EHgpcjy7xMzKAy8AV4cQVhf9cjH/S0be0+1cZ1bc0xDCphBCXSAPaGhmxxZ5SlbczxJcZ8a/35rZ2cDKEMI7v/S0Yv4sqfczFxL4UmDr3/DygOVbPyGEsCqEsC7x6SDgNymKLZW2+33IBiGE1Vum8IL3my9nZgdGDmunmFk5PKk9FUJ4sZinZMU93d51ZtM9BQgh/A+YBJxZ5Ev/fz/NrCzwKzJ4uWhb15kl77cnAOeY2WJ8WfZUM3uyyHNK/X7mQgKfAVQ3syPMbHd8M8GorZ9QZN3wHHwdLtuMAv6Y2LncCPgmhPBF7KCSzcwO2bLOZGYN8df4qrhR7bjENTwKLAgh3L+Np2X8PS3JdWbDPTWzimZWIfHxXkAz4IMiTxsFXJT4uC3wekjsgMoUJbnObHi/DSHcFELICyFUxXPK6yGEC4s8rdTvZ9lk/mXpKISw0cyuAF7Fd6QPDiHMN7OewMwQwijgKjM7B9iI/4bUKVrAO8nMnsF36x5oZkuB2/ENJIQQ+gNj8V3Li4DvgYvjRLprSnCdbYE/mdlGYC3QLtPeBBNOADoC7yXWEwFuBg6DrLqnJbnObLinlYDHzawM/gvIcyGEMUXehx4FnjCzRfj7ULt44e60klxnxr/fbkuq76cqsYmIiGSgXJhCFxERyTpK4CIiIhlICVxERCQDKYGLiIhkICVwERGRDKQELiIikoGUwEVERDKQEriIiEgG+j/sCOSnIwCJCAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# BO by maximizing mean\n", + "num_measurements = 5\n", + "Number_of_iterations = 20\n", + "\n", + "# The value (y) and position (x) of the true max\n", + "true_max_y = np.max(Y_grid)\n", + "true_max_x = X_grid[np.argmax(Y_grid)]\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value with noise\n", + "Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + "# We will use this matrix to store the GP mean at every iteration.\n", + "Y_estimates = np.full((len(X_grid),Number_of_iterations),np.nan)\n", + "\n", + "for i in range(0, Number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with a magneta line where we want to sample next.\n", + " # The red dot shows where the maximum is.\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8zpARKEZ7GL7" + }, + "source": [ + "To quantify how well this method works at finding the maximum, we will compute the minimum regret.\n", + "
This method **assumes that we know the correct answer**." + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 758, + "status": "ok", + "timestamp": 1615737962603, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "1sFztSho7HF4", + "outputId": "9644e8d6-d4d4-4910-a338-b45fbc997dba" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Uc+ttM8ubSoeSOikd6rkauJfR/8LfFouB0yVdQ+mk84ZGOr8wxK23zSxvKgXDLsCHgJOATwC/Aq6OiNVpFizpaqALmCtpPfBNoAkgIhYCS4CPAGspXQ472aufasqHkswsbyqdY9gK/Br4taSZlAJimaRzIuLC8RYcESeN83kAp02w3rrj1ttmljcV72NIAuG/UwqFduBHQOHveC7n1ttmljeVTj5fDuwD3Ax8OyJGvYO56IbCYOPrbr1tZvlQaY/hFOBV4B3AF6U3DpOI0pGgHTOurSGUt8WYN860ZmaNoNI5hjR9lApvKBhefs0noM0sH/zLfxu59baZ5Y2DYRu5w6qZ5Y2DYRv5mQxmljcOhm3k1ttmljcOhm3k1ttmljcOhipw620zyxMHQxW4X5KZ5YmDoQocDGaWJw6GKnAwmFmeOBiqwMFgZnniYKiC8tbbZmaNzsFQBeWtt83MGp2DoQrKW2+bmTU6B0MVuF+SmeWJg6EKHAxmlicOhipw620zyxMHQxX4YT1mlicOhirwoSQzyxMHQxW0NE13620zyw0HQxW49baZ5UmmwSDpKEmPSFor6axRPv+0pF5J9yev/5VlPVly620zy4sZWS1Y0nTgx8CHgPXAckmLI+LhEZNeGxGnZ1XHVHG/JDPLiyz3GA4C1kbEoxHRB1wDHJPh+mrKwWBmeZFlMOwGrCsbXp+MG+l/SFol6XpJ80ZbkKQFknok9fT29mZR6zZzMJhZXmQZDBpl3Mj2o78E2iNiX+DfgMtHW1BELIqIjojoaGtrq3KZ1eFgMLO8yDIY1gPlewC7A0+XTxARL0TElmTwYuDADOvJlFtvm1leZBkMy4G9JL1NUjNwIrC4fAJJu5YNfgxYk2E9mXLrbTPLi8yuSoqIAUmnA7cA04FLI2K1pHOAnohYDHxR0seAAeBF4NNZ1ZO18tbbQ+/NzBpRZsEAEBFLgCUjxn2j7P3ZwNlZ1jBVyttijHoG3cysQfjO5ypxvyQzywsHQ5W49baZ5YWDoUq8x2BmeeFgqBIHg5nlhYOhSlqaptM0XX5Yj5k1PAdDlUiitaXZewxm1vAcDFXk1ttmlgcOhipyvyQzywMHQxU5GMwsDxwMVeRgMLM8cDBUkYPBzPLAwVBFbr1tZnngYKgit942szxwMFRReettM7NG5WCoIrfFMLM8cDBUkYPBzPLAwVBFbr1tZnngYKgi7zGYWR44GKqotaWJLU+t4Z8W/j13/ebuWpdjZjYpmT7zuWju77mPZ6/5Oku29nPzlRex/+cvYO8D3sv8nVuYv/Ns5u88m3nJa8dZpb2L7u5uli1bRldXF52dnanWU6/z1GtdZjYxDoYquv3221EMEDEIg1tp6l3DS6/uxwPrXn7T4aWdZjex3YZHufeiM9g60M+Mpmb+8rxL2eNd+1dcxxNrfsvFZ3+Wgf6+uppnquvaOtDPzOZmli5d6nAwqzIHQxV1dXUxs7mZvr4+mpub+cEZn3zjl9aG1/pZ99JrPPli6bXuxddY8k83MdDfDzFIf18f1yy+hZ2fb624jhfvvoX+vr66m6cWdW3e0sc/Xv8rDjnkECRVnM/MJiAiGup14IEHRj27++6749xzz42777471bQtLS0xffr0aGlpaeh5prquadOmh5pmxi4nfz+OvOD2uHb5k7G5f2Dc+c2KCuiJlL9nVZq+cXR0dERPT0+ty6iaej4uX+/nGP7ssPfRO7udn975KL/7wybadpjJpzr34JMH78FO2zWnWpZZUUhaEREdqabNMhgkHQX8PTAd+GlEnD/i85nAFcCBwAvACRHxeKVl5i0YbNtFBHetfZ6L73yMO/6jl1lN0zj2wN353GFv521zt6t1eWZ1YSLBkNk5BknTgR8DHwLWA8slLY6Ih8sm+xzwUkTsKelE4G+BE7KqyfJJEu/bq4337dXGI3/YxCV3Pcp1y9dz1b1PcsS7/oRDtnuBZx9ZweGHH17oPSzXVay6tkVmewySOoFvRcR/S4bPBoiI88qmuSWZplvSDOAPQFtUKMp7DJbGc5s2c2X3Eyz855v5/WVfJbYOMG1GEwecegFz2veuOO/Lj69m5cIzGRzoz2yeqViH68pfXbG1n1kzZ07qary62GMAdgPWlQ2vBw4ea5qIGJC0AXgL8Hz5RJIWAAsA5s+fn1W9liNv3WEWXznyv/Dqfdfz7cHSJcSxdYDpzz7MXgeP/N9wuJX3PkxsLV0tltU8U7EO15W/umJwkL6+PpYtW5btXkPas9QTfQHHUTqvMDR8CnDhiGlWA7uXDf8eeEul5db7VUlWX3wVl+sqYl2joR6uSvKhJKsX9XoM2HW5rqk8x1AXVyUlv+j/A/gg8BSwHPhERKwum+Y04L9GxKnJyeePR8TxlZbrYDAzm7i6OMcQpXMGpwO3ULpc9dKIWC3pHEq7NIuBS4ArJa0FXgROzKoeMzNLJ9OWGBGxBFgyYtw3yt5vpnQuwszM6oTbbpuZ2TAOBjMzG8bBYGZmwzgYzMxsmIbrriqpF3hikrPPZcRd1QVT5O0v8rZDsbff216yR0S0pZmp4YJhW0jqSXsdbx4VefuLvO1Q7O33tk98230oyczMhnEwmJnZMEULhkW1LqDGirz9Rd52KPb2e9snqFDnGMzMbHxF22MwM7NxOBjMzGyYwgSDpKMkPSJpraSzal3PVJL0uKQHJd0vKfc9yyVdKuk5SQ+VjdtZ0q2S/jP5uVMta8zKGNv+LUlPJd///ZI+UssasyJpnqTbJK2RtFrSl5LxRfnux9r+CX//hTjHIGk6pWdDfIjSI0aXAydFxMM1LWyKSHoc6IiIQtzkI+n9wCvAFRGxTzLue8CLEXF+8ofBThHx1VrWmYUxtv1bwCsR8X9rWVvWJO0K7BoRKyXtAKwA/hz4NMX47sfa/uOZ4PdflD2Gg4C1EfFoRPQB1wDH1Lgmy0hE3EHp+R7ljgEuT95fTukfTO6Mse2FEBHPRMTK5P0mYA2l58oX5bsfa/snrCjBsBuwrmx4PZP8D9agAvhXSSskLah1MTXyJxHxDJT+AQFvrXE9U+10SauSQ025PJRSTlI7sD9wLwX87kdsP0zw+y9KMGiUcfk/hvZHh0bEAcCHgdOSww1WHD8B/hR4D/AM8He1LSdbkrYHfg6cEREba13PVBtl+yf8/RclGNYD88qGdweerlEtUy4ink5+PgfcSOnQWtE8mxyDHToW+1yN65kyEfFsRGyNiEHgYnL8/UtqovRL8aqIuCEZXZjvfrTtn8z3X5RgWA7sJeltkpopPVt6cY1rmhKStktORCFpO+BI4KHKc+XSYuBTyftPAb+oYS1TauiXYuIvyOn3L0mUniO/JiIuKPuoEN/9WNs/me+/EFclASSXaP0QmA5cGhHfrXFJU0LS2yntJUDpGd8/y/u2S7oa6KLUcvhZ4JvATcB1wHzgSeC4iMjdSdoxtr2L0mGEAB4HPj90zD1PJB0G3Ak8CAwmo79G6Th7Eb77sbb/JCb4/RcmGMzMLJ2iHEoyM7OUHAxmZjaMg8HMzIZxMJiZ2TAOBjMzG8bBYA1B0ivJz3ZJn6jysr82YvjuKi33sqSr5cxkeG7S0LAay+6S9C/VWJbZSA4GazTtwISCIemuW8mwYIiIP5tgTZVsBT5bxeVVRYr/JlZgDgZrNOcD70v6yn9Z0nRJ35e0PGkS9nl44y/q2yT9jNINP0i6KWkkuHqomaCk84GWZHlXJeOG9k6ULPuh5HkWJ5Qte5mk6yX9TtJVyV2no/kh8GVJM8pHjvyLX9JFkj6dvH9c0rmSuiX1SDpA0i2Sfi/p1LLF7CjpRkkPS1ooaVoy/5HJvCsl/XPSO2doud+QdBdw3LZ8CZZvM8afxKyunAX8VUQcDZD8gt8QEe9NDtn8RtK/JtMeBOwTEY8lw5+NiBcltQDLJf08Is6SdHpEvGeUdX2c0h2j+1G6k3i5pDuSz/YH9qbUc+s3wKHAXaMs48lk/CnALyewnesiolPSD4DLkuXPAlYDC8u2793AE8CvgY9LWgZ8HTgiIl6V9FXgTOCcZJ7NEXHYBOqwAnIwWKM7EthX0rHJcCuwF9AH3FcWCgBflPQXyft5yXQvVFj2YcDVEbGVUiO224H3AhuTZa8HkHQ/pUNcowUDwLmU+vX8agLbNdTL60Fg+6S//iZJmyXNST67LyIeTWq4Oql3M6Ww+E2yE9MMdJct99oJ1GAF5WCwRifgf0fELcNGSl3AqyOGjwA6I+K15C/rWSmWPZYtZe+3UuHfUkSsTcLj+LLRAww/lDuylqHlD45Y12DZukb2s4mk5lsj4qQxynl1jPFmb/A5Bms0m4AdyoZvAb6QtBtG0juSLrIjtQIvJaHwTuCQss/6h+Yf4Q7ghOQ8RhvwfuC+Sdb9XeCvyoafAN4taaakVuCDk1jmQUnH4GnACZT2WO4BDpW0J4Ck2ZLeMcmaraAcDNZoVgEDkh6Q9GXgp8DDwEpJDwH/wOh/vf8amCFpFfAdSr9AhywCVg2dfC5zY7K+B4B/B/46Iv4wmaIjYjWwsmx4HaWOn6uAq4DfTmKx3ZROxj8EPAbcGBG9lJ5xfHWyrfcA75xMzVZc7q5qZmbDeI/BzMyGcTCYmdkwDgYzMxvGwWBmZsM4GMzMbBgHg5mZDeNgMDOzYf4/ogVwhE8Vo/sAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This function computes the minimum regret.\n", + "# It takes as input:\n", + "# 1. The samples that have been measured, in the order that they were measured\n", + "# 2. The maximum\n", + "# It outputs the minimum regret at every iteration.\n", + "def calc_min_regret(Y_samples, Y_max):\n", + " min_regret = Y_max - np.maximum.accumulate(Y_samples)\n", + " return min_regret\n", + "\n", + "# Calculate the minimum regret for out previous exercise\n", + "min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + "\n", + "# Plot the minimum regret as a function of iteration number.\n", + "plt.figure()\n", + "plt.plot(range(0,len(Y_samples)),min_regret)\n", + "plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + "plt.ylabel('Minimum Regret')\n", + "plt.xlabel('Iteration Number')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RzHNKGEE7Lh5" + }, + "source": [ + "Let's quantify how well the previous exercise did at identifying the full function.\n", + "
For this we will use Root Mean Square Error (RMSE) between the predicted function values, given by the GP mean, and the true function values." + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 1011, + "status": "ok", + "timestamp": 1615737988570, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Griy71F27MSn", + "outputId": "db432cb6-e3df-4a15-872c-3068a7fdc3da" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Now lets look at how well this method works at identifying the function\n", + "# Calculates the Root Mean Square Error at each iteration.\n", + "def calc_rmse(Y_estimates, Y_grid):\n", + " residuals_squared = np.square( Y_estimates - np.tile(Y_grid,(1,Y_estimates.shape[1])) )\n", + " rmse = np.sqrt( np.mean( residuals_squared, axis = 0) )\n", + " return rmse\n", + " \n", + "# Plot the RMSE\n", + "rmse = calc_rmse(Y_estimates, Y_grid)\n", + "plt.figure()\n", + "plt.plot(range(0, Number_of_iterations), rmse)\n", + "plt.plot(range(0, Number_of_iterations), rmse,'k.')\n", + "plt.ylabel('Root Mean Square Error')\n", + "plt.xlabel('Iteration Number') " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AwjcZP5l7QL2" + }, + "source": [ + "If we don't know the correct answer in either case (the true maximum, or the true underlying function) we can instead look at convergence." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 673 + }, + "executionInfo": { + "elapsed": 2110, + "status": "ok", + "timestamp": 1615737991850, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aictm78C7RF4", + "outputId": "fbc5ebf6-ef23-4228-8f4c-ccd5927f3984" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Y values')" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(X_samples)\n", + "plt.title('X values')\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(Y_samples)\n", + "plt.title('Y values')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1ciU-b2G7UBj" + }, + "source": [ + "Convergence for identifying the true curve" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 338 + }, + "executionInfo": { + "elapsed": 451, + "status": "ok", + "timestamp": 1615737994053, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "u3fd8w8g7WOr", + "outputId": "0b57130d-9fa0-449f-fee4-0e5f596418ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def calc_function_convergence_using_RMSE(Y_estimates):\n", + " rmse_ = np.sqrt( np.mean( np.square( np.diff(Y_estimates, axis = 1) ), axis = 0 ) )\n", + " return rmse_\n", + "\n", + "rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(rmse_)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1992, + "status": "ok", + "timestamp": 1615737997999, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "IuQhNH487Ymh", + "outputId": "9ba8781c-a8ac-49e0-d6ae-288d3551378a" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_BO_metrics(Y_samples, Y_grid, Y_estimates):\n", + " \n", + " min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + " rmse = calc_rmse(Y_estimates, Y_grid)\n", + " rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + " plt.figure(figsize = (12,10))\n", + " plt.subplot(2,3,1)\n", + " plt.plot(range(0,len(Y_samples)),min_regret)\n", + " plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + " plt.title('Minimum Regret')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,2)\n", + " plt.plot(range(0, len(rmse)), rmse)\n", + " plt.plot(range(0, len(rmse)), rmse,'k.')\n", + " plt.title('Root Mean Square Error, from True')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + " plt.subplot(2,3,4)\n", + " plt.plot(range(0,len(Y_samples)),X_samples)\n", + " plt.plot(range(0,len(Y_samples)),X_samples,'k.')\n", + " plt.title('X values')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,5)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples,'k.')\n", + " plt.title('Y values')\n", + " plt.xlabel('Iteration Number')\n", + " \n", + " plt.subplot(2,3,6)\n", + " plt.plot(range(0, len(rmse_)), rmse_)\n", + " plt.plot(range(0, len(rmse_)), rmse_,'k.')\n", + " plt.title('Root Mean Square Error, from previous')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + "plot_BO_metrics(Y_samples, Y_grid, Y_estimates)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8ScTCX0b7c3R" + }, + "source": [ + "Now let's try exploring instead of exploiting. We're going to select the point with the maximum variance." + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4620, + "status": "ok", + "timestamp": 1615738016798, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "UsxpFnbt7dub", + "outputId": "531dbc17-42e7-4b0d-ba62-21c3d005cac1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4956731581.201508\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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pbnVuH2XOgZQ53ZTUuNlSUst3W/dQXu+jNhBFSVU9/rwxlFuslAPL1nrxLp5Hp5RE+vbtTYLy4Cr8lpEn9WbIoIFkpyXuW5lQbpfbtqQpXoh2UltbyznnnMPXX3/N5MmTmTlzJmvWrGHo0KEA9OjRg//7/Es2Ftcw5dILKN1ZQNrZtxA/fBLd0mIZ2S2Fi4dkM6RrMsmx9hDnRpyIAgFNRb2H8sbBetUu1hfVsH7bbnbvLaeszkMgLo163/7AHfA04CvfiaW+nHirjzGnjWPESb3JSbCSkRRHVlKsBPxjIE3xQoSBO++8k6VLl/LYY49x1llnATB48GBefPFFbrvtNrZu3Upe9x4omx1ffTX29FxGn3UhF43uy4T+mVI7FyFnsajgqncO+pKw73m3rx/lzv0Bf1dlPRv2VLFx+26KylxUpqTgSsumwR7Hot2aRbs3YdV+XEVbsLmrSbD5yUyKo2+3bCaOH0vntCRS48wyuylx9mYXS5JFdg5NauxCtIMZM2bwwx/+kIceeojHHnts3/NlTjefbyrj9QXLmPPo9QRcNQBEJ6Tw4vsLOW9UXzITokOVbCGOi9Ptozw4Mr/c6aawop4tJU721jSwfeceisqraLDGgj1u33uirIq0OAf+qt007N1GZnIc/brlMHrIALp3zSY1zs7sGa/ywK9+fkIvstOhauxKqa7Av4FOQAB4SWv9t9CmSojj8/HHH3PKKafw8MMPA7C7ysUn+cV8sHoPa3fX4Kqpw2qxEAjunxBt47yBnSWoiw4t3mEj3mGjW9r+wK21psblo6xuAOVODxV1bnaU17Nu+1627ymG+EwzVU/H4+88klqgoATmzN2Erv2CgQMHEWvpS2JmF/Lz8+nVtz9Wi6Kqopw+ffsz6ZLLQ5fhMBF2NXalVGegs9Z6pVIqAVgBXKq1zj/Ue6TGLsKd1pra2lrKPVbmrdnD/LXFbCiuQQPdYrysf+WXlBQWyEpg4oQVCGiqXV7K69ymWb/Ow47yOr4r2M32XXsoqXLiwgEJmdR5/Pjrqtjz6u0EGufiR8cx9LqHGHPG2eQkR5OXGkOnlFhS4xz77pwXSfPwO1SNXWtdBBQFf65VSq0HcoBDBnYhwtWrr77K6aefDolZvLtqDx+vLaagtA6rRTEoJ4mLhmRTtOQD/q+woNlmRekzFCcKi0WREuxT79WkLBs4vSdVLi8VTQL+rkoXXy1dwQwCeBp3VBZKHF2Y910RANrvQ9eW4PDVkehQZKUk0r9XHiP69SArKZrUOHMjnUgL+BCGNfamlFJ5wGJgoNa65lD7SY1dhKN169YxePBgTv7BHUQNv5Qd5fU4bBaGdEnm8uE5nNkvk8xE09QuA4GEaLmSkpJ9hd/UtHQ0UFleRnZeL656+GWcljhWfPMVtV6FJyoBlZCOUmYAnlKQFG3DVbSFRLuiU2oifbp3YVjfPLKTY0iLc+y7e1443xipQ648p5SKB/4PeFJr/W4zr08FpgLk5uaO2LFjRzunUIjmBQKajXtrmTz1bsqS+mHvchIxUVZGdEvhByO7cHqfDJmuJsRxONwd6p577jmuu+mnVNR59tXyC0sqWfrdRmoDdvzRKRRXVLOtcCeWxCyUxQRvHQgQo7zkZKaSaFfommIG9MhlaK8cspJiSGtSww+HlfY6XGBXSkUBc4GPtdZ/PtL+UmMX4UBrzYbiWt5etpM5ywso91ix+d2MHdCFq0d15bRe6bJuuxCt5FhauZxuHxVODxX1Juhv3bWXpd9uZMvOPZTWuEjo2p8GSyyV9W40Zk69DvhRrkpiAi565nWjW3Ymuamx9M5KICsxmrR4s6xuatz35+G3ZUtchwrsytxH8nWgQmt9d0veI4FdhJLWmk17ncxcVsj/1u1ld5ULGmqpW/EBr/7lCc4c1C3i+vCEiCQuj5/yOnewlu9h255Svli2mi0791JW68IZsOGPTsWW2hkaA77fi7W+kljlJj3eTtesdEac1JueWYmkx0fz4azXePz+X7bZlLyOFtjHAp8D38G+2T/3a63nH+o9EthFqGwpqWXmsp18tLaYXZUu4uxWRuclU/fFG4wbMYA7b78t1EkUQhyjBq9/X7AvqXFRXN3AltI6lq/6lk1bCqgnmkBCBraE9H3vcdgsxPjr8ZVsYfvsZ6kr20NCcirRUdZWne3SoQL7sZDALtrbtrI63lm+k3nfFrGjop6YKCtjeqRy3Zg8TumZRow9fAfdCCGOj8vjp8zpNsvqVjhZ9m0+qzcXkth9CGVON5sKttJgjUN73QdMycvIyGDt2rWtMoW1Q013EyKc7ayo592Vu5i9Zg8FpXVER1k4vXc6143pxmm90/lq8SK+2qP2LRkrhIg8MXYrXVNj6ZoaC7kpnD+0K1prKuu9lNa6Ka3tz7bicj79/Cve0v59Tc/tRWrsQrTA3poG3l+1m3dX7mbj3lrsVgsju6Vw7SndOL1PBvEOG16vl5NOOgmHw8GaNWuwWEI/clYIERoHTMlLT8eqVLs1xUuNXYjDqKjzMP+7PcxctpN1e2qwKmUC+phunNk/k8Qmo9z/+Mc/snnzZubMmSNBXYgT3DvvvEN+fn5IFp6SwC5EM2oavHyav5c3vilk9c4qtNYMzkliyuhczj2pEylxB85D37BhA48++ihXXnklkyZNClGqhRDhorn73i9cuLBdFp6SpnghmnB5/CzeVML0r3ewdHslHl+Afp0SuGpEFy4amt3sTVkCgQCnn34669evJz8/n6ysrBCkXAhxIpGmeCGOwOMLsHR7Oa99uZ2vCsqp9/jpkR7HpUNzuGJkF3KSYw77/muuuYaUlBQJ6kKIkJPAfoLafPdmAHr/tXeIUxJa/oBm9c5K/v3VDhZtKqXa5SU7OZprTs5lyuhcemTEH/EYFouFW2+9tR1SK4QQRyaB/QTlXO0MdRJCSmvN+qJa3vxmBwvy91JSa1aPunpUV64b040B2YmYRRAPf4wpU6Zw0UUXcc0117RTyoUQ4vAksIsTztZSJ7OW72Let3vYWekiMdrGpMGdueG0PIZ2ScZmPfKI9pqaGn7605/y9ttvM27cuHZItRBCtIwEdnHC2F3l4v2Vu3l/9W42lziJibIyoW8GN5yax5ieaThsLVstbuXKlUyePJmtW7fy5JNPctttsmysECJ8SGAXEa+01s2Ha4t4Z/ku1u6pxmZRnNw9levGdGN8v0ziD3GDlrq6OhYuXEhUVBTJycmcfPLJbNu2jVNOOYWMjAwWLVoktXUhRNiRwC46vEPdGvHaH0/lk/XFzFy2k1WFVQS0ZlBOEleP6sr5Azt/by56UxUVFZx77rk0TqPMzc1lx44ddO/eneeee47LL7+c9PT0Q75fCCFCRQK76JDWrVvHTTfdRFxcHJ999hkvvPDCvtWdzhg/gQ3r83n9q+1Udz8Tty9An6x4LhuWw6XDcuicdPipa+Xl5Zx99tmsW7eO6dOn06NHD5qu9zB16tQ2zZsQQhwPCeyiw/n000+54oorUEpRVVVF165dyc/PZ+DAgXj9AaoqyolK60JR6lDiqndz24VjuXJElxZNXQOw2+2kpKTwwQcfcN5557VxboQQonVJYBcdyttvv821115L//79mTt3Lg0NDUTHxTNk8BBKS0sBsMQmkXLmT4jbNJ8/PnAPF47rS3V1NR6PB7v90M3vJSUlxMXFkZCQwCeffHLE6W5CCBGO5E4VokMZNGgQl112GV988QWdc7pQHZXGMx9txOn27tvHRoCX77yItfOnM+n0kSiluOmmmxg1ahQrV65s9rjl5eWcddZZTJ48GUCCuhCiwwrLwK6UelUpVaKUWhvqtIjwsHjxYrTWDBgwgLdmzGRLlZ/H5qzjtlcW8vKvb8BXV010QgrJqel46mu575ZrqSgv2/f+66+/nrKyMk499VTeeOONA45dXV3Nueeey+bNm7nnnnvaO2tCCNGqwjKwA68B0rkpAHjppZc444wzmD79DdbsrOJ389dzz9urmf51ITtXLMRbXki3nn3IX7eWjevXMWDAgH23Rmx08cUXs2bNGsaMGcN1113Hvffei9/vp66ujgsvvJA1a9bw3//+l7POOiuEORVCiOMXln3sWuvFSqm8UKdDhN7cuXO59dZbGTthIjuSh/D6rNUUlNYRbbMwtlcaV119H5vP6cuPrrn6iLdGTE9PZ8GCBdx111288cYb/OIXv+Duu+9myZIlzJw5kwsvvDAUWRRCiFYVtrdtDQb2uVrrgUfaV27bevRWjV8FwLBFw0KckkP7asnXnHXmmWQNPIWeP7ifgvIG7FYLw3OTuWx4Dmf2yyIjwXFMxy4pKSEzM5MNGzawZs2afX3rQgjREUTkbVuVUlOBqWAWDxGRw+cPsLxgLxdddwupF98L3UdRWOVmZLcULhmazcQBWUeci34kjbX7fv360a9fv9ZIthBChIUOG9i11i8BL4GpsYc4OaIVeHwBvttdxUdri/m/TaUkXPkENqUYkpvCpEGdmTggi66psaFOphBChLUOG9hF5Gjw+llVWMWC/GI+XL6JIncUUVYLI7qlct7ATpzdP4u89LhQJ1MIITqEsAzsSqkZwHggXSm1C/it1vqV0KZKtLbaBi8rdlSyIH8vSwrK2VpWR8DtQxcs5td338I5g3Lo2cLV4oQQQhhhGdi11lNCnQbRdkpqG1ixvZJPN5TwzdZydla6sBGg+qtZJFdtYtastxnVLy/UyRRCiA7pqAO7Umq61vo6pdTPtNZ/a4tEici0vayOZdsrWLihhBWFleytcRNrtzI0XbHgiRvJy81hyReLSUxMDHVShRCiwzqWGvsIpVQ34Eal1L+BA9be1FpXtErKRETw+gOsL6ph6bYKvtxSxsrCKqpdXpJiopjQN4OJA7JYM/c1ljgsfDRvjgR1IYQ4TscS2P8BfAT0AFZwYGDXwefFCa7a5eXbXVUsKShn2fYKvttdTYM3QKfEaMb2Suesfpmc3DONnOQYrjn5t/zyzlv3TUETQghx7I46sGutnwWeVUr9XWt9axukSXRQWmu2ldXx7a5qvtlWzqrCKjbtrSWgoWdGHMNzUzizXwYj89LISHDwu9/9jgsuuIChQ4dKUBdCiFZyzIPnJKiLRk63j/w9NawurGT5jkrW7Kpib40bu9XC4C7JjMpL4bRe6QzLTSEpJoqSkhLuuO8xpk2bRmVlJUOHDg11FoQQImKE5ah4Ef4CAc228jrW7q5mVWEV3+2uJn9PDS6vn5TYKMb3yWBUXgpjeqZxUnYS0VFWampq+O3TT/CnP/2JhoYGbrvtNp566qlQZ0UIISKKBHZxVEpqGsgvqiF/TzXf7qph7Z5qdlW6UAp6pMcxuEsyY3qkElO7iw3L3+M/CypxXXghY8eO5b333uOxxx7jqquu4vHHH6dv376hzo4QQkQcCeziiKpdXjbvrSW/qIZ1u2tYX1TDxr21uH0BEqNtnNIjjSFdkhiRl0rfDAd///Mz/OEPf8Dv9xMVFUVOTg5jx47lmmuuYfDgwQwbFr43nhFCiI5OArtoltPtY9PeWjYV17Jxby0bi2tZX1RDZb0Xq0XRMyOOAZ0TGZabzJCuKfTrlEB0lJWzzjqLzz77jJtuuomnnnqK9PR0lDITJ2w2mwR1IYRoYxLYxT6VdR4KSp1sKXFSUOpk014nG4trKa5pAKBzUjRn9UvhpOxETspJYlBOEtnJMQQCgX3B+9577+XXv/4155xzTiizIoQQJywJ7Ce4nRX1bCmu4tVXXmbbnjJyz5jM9ko3e6pcoBSpMVZO7ZlG304JDOicyIDsRHpnJmC3WQCor6/n2muvZdiwYTz00EOce+65Ic6REEKc2CSwn2Aq6zzsrKynos5Dg9fPjM828+FHH1HuT8HebSS7tleTHm8nq6GQVW8+za7qYlLOPp8rb5nKxUPPxWbb/ydTVFTExRdfzIoVKxg/fnzoMiWEEGIfCewRrrLOw+4qF7urXOysqGdPlYudlS7GVrpwewPMWl6JTu1PgruSUb3S6ZkRR8/MeHplDMN/zRjenTGd6dOnc8WHsxk7diyff/45ALNnz+aOO+6goqKCDz74gIsuuijEORVCCAES2PeZNm0aV1111b4V0EpKStGuSmUAACAASURBVHjnnXe4/fbbQ5yylnP7/JTUuNlb00BRdQNF1S6KqxvYU9UQDOj1VNZ7ARjljcGm/JTN+SNdkx08+Me/07tTEr0y40mNswePmM640cN5+umnmTdvHlprAHw+H1OmTCE5OZnPP/9cBsQJIUQYkcCOCep33HEHL7zwAgsXLgRgwoQJ5OfnAxw2uDc0NFBQUECvXr1wOBwHvOZ2u1m8eDHLly/H4/Fw6623tkrBQWtNTYOPMqebslo35XUeSmtNQC+pdVNS00BxMLjXNvgAiLIqcpJjGJiTRNeUWHI+qsVGgLP75fDCc8/SOSP1kOdzOBxcfvnl+35XSvH555/TvXt3UlJSjjr9Qggh2o4EduCqq67ihRdeID8/n4EDB+LxBaiuLCevZy/6DhrOhs1bSE9JJj09HYCNGzfy8ccf89FHH7Fo0SJcLhePP/44Dz74INXV1bz44ot89dVXfPLJJ9TV1aGUQmvNrFmzWlxw8PkD1Db4qG3wUdPgpcblpbLeS0W9h8o6N+VODxV1HsrqPJQ73ZQ5PVTWedDB98c7bHROimZ4bgzZSdF0SowmJzWWBF3PzvwVJEV1JS4ujvdmvnHUn5fVamX48OHH9mELIYRoU6qxeTWcKKXOA/4GWIF/aq2fPtz+I0eO1MuXLz+uc5aUlDBw4EBKS0tNGhyxJJ58FbqhFl9NKT169eaGO++lU2I0Pz1nMHW1NXTN68Fp4ycyZNhwho8cRZ8+ffny/z7j2isvJqdLVyaeez4TzzmP3n368qMpV7Jpw3riExKw2x1UlJfRo3dfnn3jPeKS0nB5/NR7/NR7fDgbfJTVualt8OF0m99rGnxUu7xU1XuocfnwN/neEqJtpMXZyUqMJjPRQVZCNOkJDjonRZOdHIOuLeONf05j0cKFfPfddwD8p+t/6NGjB8MWSTO6EEJ0NEqpFVrrkc2+Fm6BXSllBTYBZwO7gGXAFK11/qHe0xaB3RqTSJcbn4X49O/ta9EBoqMsxETbibZZiY6yYLNaiLIobBZFwOsmOiYGi0WhlMIC1NdUMO/hq/HW1wIQFZvIyDufx56UibbZcXsD1Hu8NHgDePzf/06irIqkmCiSYqJIjrWTHBNFWryd1Dg76fEO0uMdZCY4yEx0kJEQTVJMFAAej4eePXtSWlrKuHHjGD9+PBMmTCD6vmiUUhLYhRCiAzpcYA/HpvjRwBat9VYApdRM4BLgkIH9eJWUlDBhwgRKS0vJyMjAF9BUlpcR+PB3/Pyvb1BvjaPC6aGmwbevVt3gDeD2+WnwBqhyefH5NV5/wDwGAmjdcMA5/HVV+LHs/13Dtr1VWCpc5HTrgSPKgmvrBsp3bCDgqiXWbuGMCy6ne49exEfbSI01AT0xJopAfRVlu7YxqH9vBvbpgcNm/V6eioqK6NSpE3a7nZdeeon+/fuTl5e37/VValVbfZxCCCFCKBwDew6ws8nvu4CT2/KE77zzDvn5+QwYMOB7feBRhUu5P9gH7vb5cXn8uLwmoDd4/bh95tHrD+D1B/D4Anj9Gp8/+BgIUFFWytN33kOgvprElDQCAT/O6iq8Hz7FlTfewSUXX4TdZmH1V6XszfWgdIDXX3yOdxbP4Mln/sAv7v4ZNquF7du384c/PMErr7yC2+3mV7/6FSN+/3tqamrIyMggISGB+Ph4EhIS2L59O3/5y1+4+eabOf/889vy4xNCCBFGwjGwq2ae+17btFJqKjAVIDc397hO2Dh4rel0t4ULF35v1LrDZsVhs5J8lMefNm0uu7dtbrbgMCgnifMHdQbgrP6T973nvp/dws9+9jNGDh2MzWrhnnvu4bnnnsNisXDDDTdw+eWXH1ADv+eee6itrcXpdFJbW8vw4cOZOHHiMXwaQgghOrJw7GM/BXhEa31u8Pf7ALTWh7xxd2v0sbe1450n//vf/57i4mJ+/vOf06VLl+NOz6rxpile+tiFEKLj6WiD52yYwXNnAbsxg+d+qLVed6j3dITAHm4ksAshRMfVoQbPaa19Sqk7gI8x091ePVxQF0IIIcR+YRfYAbTW84H5oU6HEEII0dFYjryLEEIIIToKCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBJHALoQQQkQQCexCCCFEBAmrwK6UukoptU4pFVBKjQx1eoQQQoiOJqwCO7AWuBxYHOqECCGEEB2RLdQJaEprvR5AKRXqpAghhBAdUrjV2FtMKTVVKbVcKbW8tLQ01MkRQgghwkK719iVUp8AnZp56QGt9QctPY7W+iXgJYCRI0fqVkqeEEII0aG1e2DXWk9s73MKIYQQJ4oO2xQvhBBCiO8Lq8CulLpMKbULOAWYp5T6ONRpEkIIITqScBsV/x7wXqjTIYQQQnRUYVVjF0IIIcTxkcAuhBBCRBAJ7EIIIUQEkcAuhBBCRBAJ7EIIIUQEkcAuhBBCRBAJ7EIIIUQECat57KL9xA+ND3UShBBCtAEJ7Ceo3n/tHeokCCGEaAPSFC+EEEJEEAnsQgghRASRwC6EEEJEEAnsQgghRARRWutQp+G4KaVKgR2teMh0oKwVjxeuJJ+RRfIZWSSfkaW189lNa53R3AsREdhbm1JqudZ6ZKjT0dYkn5FF8hlZJJ+RpT3zKU3xQgghRASRwC6EEEJEEAnszXsp1AloJ5LPyCL5jCySz8jSbvmUPnYhhBAigkiNXQghhIggJ3RgV0qdp5TaqJTaopT6TTOv36CUKlVKrQ5uN4cincdDKfWqUqpEKbX2EK8rpdSzwc/gW6XU8PZOY2toQT7HK6Wqm3yXD7d3GluDUqqrUmqhUmq9UmqdUupnzezT4b/TFuazw3+nSqlopdRSpdSaYD4fbWYfh1Lq7eD3+Y1SKq/9U3p8WpjPDn+9BVBKWZVSq5RSc5t5rX2+S631CbkBVqAA6AHYgTXAgIP2uQF4PtRpPc58ng4MB9Ye4vULgA8BBYwBvgl1mtson+OBuaFOZyvkszMwPPhzAlAEfHmk7xT4B/DQYY57P/DPNkrzE5j5u8XHkc9Nzfx/HvY7PVKew2ELfkfxwZ+jgt/VmIP2uQ34R/Dnq4G3Q53uNspnh7/eBvPxc+Ct5v422+u7PJFr7KOBLVrrrVprDzATuCTEaWp1WuvFQMVhdrkE+Lc2vgaSlVKd2yd1racF+Qw5pdQipVSlUspxrMfQWhdprVcGf64FlgKPHLTb975T4FGt9ePBdIxXSu066Li/01q3eg1JKdUV+AUmKHdq6fuayed6IOcw57lBKfXFQce4pTHP4Sr4HTmDv0YFt4MHPl0CvB78+T/AWUop1U5JbBUtzGeHp5TqAlwI/PMQu7TLd3kiB/YcYGeT33fR/IXjimBz5n+CF6lI09LPIRKcEmwK/FApdVJ7njjY5DYOczG7uBWPOQxT+2kqnL7TbkC51rrkWA9wmHxC8DvF1JJij/UcoRRsul0NlAALtNaH/D611j6gGkhr31QevxbkEzr+9favwL1A4BCvt8t3eSIH9uZKSQeXIOcAeVrrwcAn7C9pRZKWfA6RYCVmCcYhwHPA++18/h8BXwOvAdc3fUEplaaUmq2Uqgn2Qz7eWPtUSuUppbRSytZk/0VKqduB/wIfAPODzyul1F+As4GPghfIgcG3/VYp9YRSKg7TTJ+tlHIGt2yl1CNKqTeanOPiYF9oVfB8/Zu8tl0p9cvg8auDfYbRB2dYKTURWNDkXK8111oQPN7E4M+PKKVmKaX+rZSqVUqtD6b3bq11TbDv/V1llpF+F1PruRroBwwLnqcqeKzXlFJPNDnPT4J9mxXBzzu7yWtaKXWLUmpzsFVlWnvVirXWfq31UKALMLrJd7Yvec29re1T1rpakM8Ofb1VSk0CSrTWKw63WzPPtfp3eSIH9l1A0xJhF2BP0x201uVaa3fw15eBEe2UtvZ0xM8hEmitaxqbArXW84EopVR6OybhR8Cbwe1cpVRWk9emAQ2YfuUbg9vhKODW4LGaXkTOwYw1eAv4CTAZKMd8p/UAWus64Hxgj9Y6Prgd8H0rpfoAM4C7gQxMwWGOUsreZLcfAOcB3YHBmP7RA2itPznoXN/b5xAuxnSNpQMOIEZr/a5SygrMxdwXIg/IBqZrrdcDUwE3JjAkH3xApdSZwFPBdHcOHmPmQbtNAkYBQ4L7ndvC9LYKrXUVsAjzuTa17380WMBLIsy7nQ7nUPmMgOvtacDFSqntmL+tM5sWloPa5bs8kQP7MqC3Uqp78IJ1NTC76Q4H9TVfjOnnizSzgR8Fa3tjgGqtdVGoE9XalFKdGmtgSqnRmL/98nY691hMk/SsYGm+APhh8DUrcAXwsNa6Tmu9lsPUVIJ56AsUaa3/fNDLXsxAs+8wBYkNwfNWA66jSPJkYJ7WeoHW2gv8EYgBTm2yz7Na6z1a6wpMTWvoURz/SL7A1NJfDv7cWAgajQnmvwoWUJKBL4OvdQ8+Huo7vQZ4VWu9Mhg87sM04+c12edprXWV1roQWEjr5qlZSqkMpVRy8OcYYCLme2tqNvtbea4EPtPB0VcdRUvy2dGvt1rr+7TWXbTWeZh48pnW+tqDdmuX79J25F0ik9bap5S6A/gYM0L+Va31OqXUY8ByrfVs4C6l1MWAD1OquiFkCT5GSqkZmNHD6cEm0N9iBq6gtf4HpjZ2AbAFU6v7cWhSenxakM8rgVuVUj5MkLu6HS+O1wP/01o33tnpreBzf8HUiG0c2Cd+uDsVnoYJdN5gf2UqUKuUuiX4+vPBYw/ABPSdwd/vOIr0ZjdNg9Y6oJTayYH99MVNfq4Pvqe1FGPyeR3m4h8dzOuHwXPdjBnx3vQ7jQc2HuY7zcZ0xwCgtXYqpcoxedre5LyN6oPHbGudgdeDBTwLpvA396Dr0CvAdKXUFsx16Op2SFdra0k+O/z1tjmh+C5P2MAO+5pk5x/03MNNfr4PU7LvsLTWU47wugZub6fktJkW5PN5TNBrV8HayQ8Aq1KqMXA4MLMPhgBrMReyruyvweQ2OURd8DEWqNFaf6GU2gj8UWv9T6XUDcDNwcJLo2eVUpnALOBzrfXyg7qLj1Sg2QMMapIHFUzf7pbk+QjqaDLILXih/96tJ7XWXwRPnQdsA0ZimslvIjjiuOl3qpS6HtP9cCh7MK0XjeeNwwxaao08HTOt9beYgYEHP9/0OtQAXNWe6WptLcxnh7/eNtJaL8J0N4TkuzyRm+KFaA+XAn5MDXpocOsPfA78SGvtxwwCe0QpFauUGkCTwXVa61JM8LlWmVHFNwI9mzuRUmqUUupkpVQUJoA2BM99sL1AmlIq6RBpngVcqJQ6K3isX2D6r786yrw3ZxOmBn5h8NgPYgo6LbEUM2//aaVUnDKLnpwWfG0v0OWgcQBNvQX8WCk1VJnphr/DrNmw/ZhzIkSYksAuRNu6HviX1rpQa13cuGFqmtcEB9DcgWn2LcaMmv/XQcf4CfArTP/xSRw6wCZi+qUrMU3p5Zj+8QNorTdgBsdtVWbUe/ZBr28ErsXMHigDLgIu0ma9h+Oita7GLNLxT0yBpQ4zoKgl7/UH09ILKAy+b3Lw5c+AdUCxUqqsmfd+CjyEmUlQhCkcdcQmbSGOSG4CI0SYadK8PjbUaRFCdDxSYxdCCCEiiAR2IYQQIoJIU7wQQggRQaTGLoQQQkQQCexCiKMSnFb3bXC6WZwya8ofvO63ECJEIqIpPj09Xefl5YU6GUIIIUS7WLFiRZnW+nuLO0GErDyXl5fH8uXLQ50MIYQQol0opQ659LQ0xQshhBARRAK7EEIIEUEksAshhBARJCL62MURlJbC//4HBQWwdSts3crmb8eB3UHvYV9CRgZkZcEpp8CZZ0JqaqhTLIQQ4hhJYI9UDQ0wZw5Mnw4ffgg+HygF2dnQowdO+0ng90HlXNi0CYqL4c9/NvuMHAnnnAPXXAP9+4c6J0IIIY6CNMVHGrcbnnwSOneGH/wAVqyAn/8cVq6E+nrYtQsWL4YB/WHQIFi6FLZtg9pa+PJLePhhiIqCp5+GAQNMgJ83DwKBUOdMCCFEC0hgjySffQZDhsCDD8L48bBgARQWwjPPwLBhEB196PfabHDqqfDIIybAFxXBE0/AunUwaRL07Qv/+hf4m7u9txBCiHAhgT0SlJSYZvOzzgKv1zS9v/ceTJwIVuuxHTMjAx54ALZvhxkzIDkZbrzRNNN/9lmrJl8IIUTrkcDe0a1dC6NGwX/+Y5rR166F885rveNHRcHVV5sm+5kzobLSFCAuvhg2b2698wghhGgVEtg7sgUL4LTTwOOBr76CRx+FmJi2OZdSMHkybNhg+t8XLYLBg82AO2meF0KIsCGBvaP65z/hggugWzf45hsYMaJ9zhsdDb/+tQnwZ58Nv/gFnH46bNzYPucXQghxWBLYO6InnoCf/MTMOf/iC8jNbf80ZGfDBx/AG2/A+vUwdCj85S8yel4IIUJMAntHM20aPPQQXHcdzJ0LiYmhS4tSZtBefr6ZFvfzn8NFF5kFcYQQQoSEBPaOZNYsuPNOM3Dt1VfNwLZw0KkTvP++KXR8+qmpvS9aFOpUCSHECUkCe0fxySdw7bUwdqwZnW4Ls0UDlYLbboOvv4aEBNNN8MgjMrBOCCHamQT2jmD5crj0UujXD2bPbruR761h6FCT3uuuM6P0L7wQystDnSohhDhhSGAPd8XFpuk9IwM+/tgsFBPu4uPhtdfgxRdh4UIzYn/FilCnSgghTggS2MOZzwdTpkBVlampd+4c6hS1nFIwdaoZtR8ImPn2r7wS6lQJIUTEk8Aezh56yAxC+8c/zA1bOqJRo8wNaMaNg5tvhltvNQvqCCGEaBMS2MPV7NlmhbepU+FHPwp1ao5Pejp89BHce68ppEyYYG4yI4QQotVJYA9HW7eaYD58OPztb6FOTeuwWs1d5t5+G1avNv3uS5aEOlVCCBFxJLCHG4/H3EddKXNjl8PdarUj+sEPzJS4mBg44wx46aVQp0gIISKKBPZw8/jjZgT5K69A9+6hTk3bGDQIli0zd4n76U/N8rhud6hTJYQQEUECezj5+mv43e/g+uvh8stDnZq2lZpqlsS9/35zQ5vTT4ddu0KdKiGE6PAksIeLujqzqEuXLpHTr34kVis8+ST8979mvfkRI8y8dyGEEMdMAnu4+NWvoKAA/v1vSEoKdWra1+WXm1vPpqTAxIlmNoDcJU4IIY6JBPZw8NFH8Pe/m7ujnXFGqFMTGgMGmH73q66C++4zS+hWVoY6VUII0eFIYA+1ykq48UYYONDcZ/1ElpAAM2bAs8+aws6IESbYCyFER1ZQ0K4Lc0lgD7W774aSEnj99cib2nYslDK3pl282NwZ7tRT4Q9/kKZ5IUTHFAiYFshJk9rtlBLYD7Z0Kbz1Vvuca+5c06d+//1mMRqx35gxZiGbSy4xK9add565IY4QQnQk8+fD2rVmcHQ7kcB+sOefN/cVb+t51ZWVZg73oEHw4INte66OKiUF3nnH3CXu889hyBCz1K4QQnQEWsNTT0G3bnD11e122hYFdqXUeUqpjUqpLUqp3zTzukMp9Xbw9W+UUnlNXrsv+PxGpdS5TZ5/VSlVopRae9CxUpVSC5RSm4OPKceevWMwZQpUV5s+3rb085/D3r3wr3+B3d625+rIGu8St3y5ubvdJZeY5XZlYJ0QItx98QV89RX88pcQFdVupz1iYFdKWYFpwPnAAGCKUmrAQbvdBFRqrXsBfwGeCb53AHA1cBJwHvBC8HgArwWfO9hvgE+11r2BT4O/t5+JEyEtzQziaivz55v7lf/mN2aAmDiyk04y3SQPP2y6SgYOhHnzQp0qIYQ4tKeegowMM0C6HbWkxj4a2KK13qq19gAzgUsO2ucS4PXgz/8BzlJKqeDzM7XWbq31NmBL8HhorRcDFc2cr+mxXgcuPYr8HL+oKDPlavZscDpb//iVlaYGetJJ5rasouXsdnj0UTPnPTXVDEb54Q/lTnFCiPCzZg18+CH87GcQG9uup25JYM8Bdjb5fVfwuWb30Vr7gGogrYXvPViW1rooeKwiILMFaWxdU6aAy9U2/bm33Waa4F97DRyO1j/+iWDECNM0//DD8O670Lcv/PWv4POFOmVCCGE8/bSZwnv77e1+6pYEdtXMc7qF+7TkvcdEKTVVKbVcKbW8tLS0NQ6539ixZmnXmTNb97gzZphj/va3MHJk6x77RONwmNr72rVw2mlwzz1mZoEsSSuECLWCApg1C269FZKT2/30thbsswvo2uT3LsCeQ+yzSyllA5Iwzewtee/B9iqlOmuti5RSnYGS5nbSWr8EvAQwcuTIViks7GOxwOTJZqGUigrT7Hu8du40X/Ipp5i+ddE6evUyYxbef9+sCXDmmXDOOeZmOjJ+QYjIEwiYqa+7dpnr6q5dUFMDXq/ZfD6zJkhWFnTqZLZu3UxlTTVX12wDf/iD6da9++72Od9BWhLYlwG9lVLdgd2YwXA/PGif2cD1wBLgSuAzrbVWSs0G3lJK/RnIBnoDS49wvsZjPR18/KCFeWldU6bAn/5kmnpvvvn4jhUIwA03mD+46dPB1pKPXbSYUnDZZXD++fDCCyaojxxpxko8+ij07x/qFAohjoXLZW5jvWqV6bP+9lvTSudyNb9/VJTZGhq+v6hVZiaMGmWuDaecYpbvbotFwV5/HV56yVTkOndu/eO3gNL6yJVdpdQFwF8BK/Cq1vpJpdRjwHKt9WylVDQwHRiGqalfrbXeGnzvA8CNgA+4W2v9YfD5GcB4IB3YC/xWa/2KUioNmAXkAoXAVVrr5gbZ7TNy5Ei9fPnyo878YWlt+m67doVPPz2+Y/3lL2Z628svH38hoZWsGr8KgGGLhoU4JW2gutoUyv78Z3PXvEmTzHST009vvxK7EOLo7dlj1qz46itYssQE9MaxM2lpZi2LwYOhd29zbe7SxTympJiW1sb/b78fysvNeKbiYti0ySxPvWwZrF9vru9xcXD22XDRReYakdkKw7mmTze33Z44ET74AGJijv+Yh6CUWqG1brZPt0WBPdy1SWAH0xf++OOwe/exl7yWLYNx4+Dcc01zcZgElogO7I1KS83NdZ5/3vw8YgTcdRdccYX5pxZChI7WsHWrCeSff26Wkd6yxbwWG2tq16eeamrXI0aYa3BrXD9ra8388jlzzLZrlykUTJhgWmovv9wUFI7WW2+Z1eXGjzfHbeOR8BLYj9WGDaYZ969/NVMWjtbOnTB6tGnuWbrUzGcMEydEYG/kcpmS9J/+ZEru8fGmmf76602hyyILMArR5jwe05T+9df7g3njVNXUVPO/ePrp5nHo0PZZ0EVr08T/7rtmcPOWLea8551nFsOaNMn01R9OIABvvmm6W08/3ayv0Q7T2ySwH49hw0yf+NKlR1dadDrNH2hBgWlWGjiwbdJ3jE6owN4oEDAl9ddfNyNWnU7TlDdpktkmTGj3+aZCRCSPx1SM1qyBlSvN2hMrV+5fqrtrV3N9HDvWPA4YEPoCttamP3/GDLOU9c6d5po/ejRceCH06WOuFzk5piDy+edmSvScOaaAMm6cmbfeTq2BEtiPx4svwi23wDPPmJuRtEQgYJpz5swxN3o5//y2SdtxOCEDe1N1dfDee6ak/r//md+jo82Amsbmv9GjISkp1Cn9vkAAqqrMjI3ycvNYVXXgVlu7f3M6ob7etFw0bh6PGUHc+BgImE1r86iUudBaLGC1mq1xYJLdbrboaDPtMDrabLGx+7eYGHOBa7rFxx/+MS4usgaWam36h32+A0dsBwKmD9jvN/s07tvIam3+c2/cQh0AG/l8pg97xw7YvNnUdjdvNgE9P9/kF8zfxogRcPLJ5uZOJ58MubmhTfuRNNbkG5vrD3X76Ph4U7u/6CLTCtiGfeoHk8B+PLQ2/S6zZplpVec1twruQX79a/j97+FvfzN9umHohA/sTbndpn9v7lz47DNYt85870qZAZT9+5vHfv3MoJ3sbNM81xr/xF6vWY2womL/Vl4OZWWH3ioqDn8bW4fDLIzRuMXHHxhwY2JMYG4aLKzW/cG8sWWqaQDy+/cHJ4/HbG63GX3c0LC/wNBYgKirMz/X1x/d52G3m3TGxe1Pb9N0NxYiGgsVTQsajfmw2czWmJemm9b7t6b58/kOzGNzeW18PNx28P5twW7fX6ByOPZ/No2fT9PPq+nzjY+HKyhobfLdNE9OpyksVlebx9JSM8itpOTAAonFAnl55n9l8GAz0G3IEFPT7egFturq/VPrdu82eR8+3PSnh2ihMQnsx6uuziyCsn27Kbn17t38fvX18ItfwD/+YWr5L7wQNoPlDiaB/TCqq833vGSJaZrbuNHURg5e2S4pyYykbVrjjI01waWR1vsDYGPwq601825rag49bQfMRTc93YwGzsgwPzf+3rilppotJcUshJGc3DZTeI5VILA/0NfVmSDRuDX+3vhYX79/v7q6AwsL9fUHFiQaGvYH0cZA6vcff3pttgODXmMQbSw8OBz7t6atFgc/33Rrekyb7cAaedOg2ljwaCxwBAIH1vYbCxqNAffgQlVzW9PP7XB/a4cTHW3+1hv/vtLSTOG2cevSxVwT8/Lkhlbt6HCBvYMXo9pJXJwZ0T5qlBlQ8fXXkJh44D4rV5p1yzdtMlOrfve7sA3q4giSksx0lYkT9z/n9cK2bWbMRHHx/m3v3v1BqbLSlOgPLiw31qoaL5C9e5u/n6QkU6NuDM6pqfuDdUaGea2j/w1ZLPsLPW1N6wNbFxq7FppuTWvvTZu7m9bwI5XW+7temnbDHPz3arMdWGBpWlAVHYIE9pbKyzMDKiZO3D9asrHW9N13kycG2gAAChtJREFU8Mgjpvb2ySdm9TMRWaKiTJNinz6hTok4FKX2N8PLfRi+T6n9wVpENAnsR2P8eNO8ftddsGjRga9deaUZaNcay88KIYQQx0gC+9GaOhV+8hPTP1pebjalzKjPSG7GE0II0SFIYD8WSpn+0aQk6NEj1KkRQggh9gmTCZFCCCGEaA0S2IUQQogIIoFdCCGEiCAS2IUQQogIIoFdCCGEiCAS2IUQQogIIoFdCCGEiCAS2IUQ4v/bu8MQy8r7juPfH7uuDVgM1YUYV7tbsqGsJVEzWSyBIrEl27S4gQidQlItCZIm0oRCG+2Llkrzwjc1tE0JttpYm3aVbUkmYpAGE/qqq2M0iavddqoJDgpuE7NJSFHG/vvinqTD7bkzx53x3t5nvh8Y5txznvPM87/PcH73nHu4V2qIwS5JUkMMdkmSGmKwS5LUEINdkqSGGOySJDXEYJckqSEGuyRJDTHYJUlqiMEuSVJDDHZJkhpisEuS1BCDXZKkhhjskiQ1xGCXJKkhg4I9yZEkp5KsJLm5Z/u5Se7ttp9Isn/dtlu69aeSvGuzPpN8JskzSR7vfi7fWomSJO0cuzdrkGQX8Cngl4BV4JEkS1X15LpmHwBerKo3JVkEbgN+LckhYBG4DHgj8KUkb+722ajP362q49tQnyRJO8qQM/bDwEpVPV1VLwPHgKNjbY4Cd3fLx4FrkqRbf6yqXqqqZ4CVrr8hfUqSpFdpSLBfDDy77vFqt663TVWtAWeACzbYd7M+P5Hk60luT3Ju36CS3JhkOcny6dOnB5QhSVL7hgR7etbVwDavdj3ALcDPAm8Hfgr4eN+gquqOqlqoqoW9e/f2NZEkaccZEuyrwCXrHu8DnpvUJslu4HzgOxvsO7HPqnq+Rl4C/prRZXtJkjTAkGB/BDiY5ECSPYxuhlsaa7MEXN8tXwc8VFXVrV/s7po/ABwEHt6ozyQXdb8DvAd4YisFSpK0k2x6V3xVrSW5CXgQ2AXcVVUnk9wKLFfVEnAncE+SFUZn6ovdvieT3Ac8CawBH6mqVwD6+uz+5GeT7GV0uf5x4EPbV64kSW3L6MR6vi0sLNTy8vKshzFXHrv6MQCu+MoVMx6JJOnVSvJoVS30bfOT5yRJaojBLklSQwx2SZIaYrBLktQQg12SpIYY7JIkNcRglySpIQa7JEkNMdglSWqIwS5JUkMMdkmSGmKwS5LUEINdkqSGGOySJDXEYJckqSEGuyRJDTHYJUlqiMEuSVJDDHZJkhpisEuS1BCDXZKkhhjskiQ1xGCXJKkhBrskSQ0x2CVJaojBLklSQwx2SZIaYrBLktQQg12SpIYY7JIkNcRglySpIYOCPcmRJKeSrCS5uWf7uUnu7bafSLJ/3bZbuvWnkrxrsz6THOj6+Peuzz1bK1GSpJ1j02BPsgv4FPDLwCHg15McGmv2AeDFqnoTcDtwW7fvIWARuAw4AvxFkl2b9HkbcHtVHQRe7PqWJEkDDDljPwysVNXTVfUycAw4OtbmKHB3t3wcuCZJuvXHquqlqnoGWOn66+2z2+edXR90fb7n7MuTJGlnGRLsFwPPrnu82q3rbVNVa8AZ4IIN9p20/gLgu10fk/6WJEmaYPeANulZVwPbTFrf94Jio/b/d1DJjcCNAJdeemlfE23gvMvPm/UQJEmvgSHBvgpcsu7xPuC5CW1Wk+wGzge+s8m+fev/E3h9kt3dWXvf3wKgqu4A7gBYWFjoDX9NdvCTB2c9BEnSa2DIpfhHgIPd3ep7GN0MtzTWZgm4vlu+Dnioqqpbv9jdNX8AOAg8PKnPbp8vd33Q9fn5sy9PkqSdZdMz9qpaS3IT8CCwC7irqk4muRVYrqol4E7gniQrjM7UF7t9Tya5D3gSWAM+UlWvAPT12f3JjwPHkvwx8FjXtyRJGiCjk+T5trCwUMvLy7MehiRJU5Hk0apa6NvmJ89JktSQJs7Yk5wGvrWNXV7I6Ea+1llnW6yzLdbZlu2u86eram/fhiaCfbslWZ50iaMl1tkW62yLdbZlmnV6KV6SpIYY7JIkNcRg73fHrAcwJdbZFutsi3W2ZWp1+h67JEkN8YxdkqSG7OhgT3IkyakkK0lu7tl+Q5LTSR7vfj44i3FuRZK7kryQ5IkJ25PkT7vn4OtJrpz2GLfDgDqvTnJm3Vz+wbTHuB2SXJLky0meSnIyyUd72sz9nA6sc+7nNMlPJHk4yde6Ov+op825Se7t5vNEkv3TH+nWDKxz7o+3AEl2JXksyf0926Yzl1W1I38YfZTtfwA/A+wBvgYcGmtzA/Dnsx7rFuv8BeBK4IkJ298NfJHRN+tdBZyY9ZhfozqvBu6f9Ti3oc6LgCu75Z8E/q3n/3bu53RgnXM/p90cndctnwOcAK4aa/Nh4NPd8iJw76zH/RrVOffH266O3wH+ru9/c1pzuZPP2A8DK1X1dFW9DBwDjs54TNuuqv6Z0ef3T3IU+Jsa+RdG36530XRGt30G1NmEqnq+qr7aLX8feAq4eKzZ3M/pwDrnXjdHP+gentP9jN/4dBS4u1s+DlyTpO8rrv/fGljn3EuyD/gV4K8mNJnKXO7kYL8YeHbd41X6Dxzv7S5nHk9ySc/2eTf0eWjBz3eXAr+Y5LJZD2arust4VzA6+1mvqTndoE5oYE67S7ePAy8A/1RVE+ezRl9nfQa4YLqj3LoBdcL8H28/Cfwe8N8Ttk9lLndysPe9Shp/BfkFYH9VvQX4Ev/7SqslQ56HFnyV0UcwvhX4M+BzMx7PliQ5D/gH4GNV9b3xzT27zOWcblJnE3NaVa9U1eXAPuBwkp8ba9LEfA6oc66Pt0l+FXihqh7dqFnPum2fy50c7KvA+leE+4Dn1jeoqm9X1Uvdw78E3jalsU3Tps9DC6rqez+6FFhVDwDnJLlwxsM6K0nOYRR2n62qf+xp0sScblZnS3MKUFXfBb4CHBnb9OP5TLIbOJ85fttpUp0NHG/fAVyb5JuM3tp9Z5K/HWszlbncycH+CHAwyYEkexjdyLC0vsHY+5LXMnqfrzVLwG90d1JfBZypqudnPajtluQNP3ovK8lhRv/7357tqF69roY7gaeq6k8mNJv7OR1SZwtzmmRvktd3y68DfhH417FmS8D13fJ1wEPV3X01L4bUOe/H26q6par2VdV+RnnyUFW9b6zZVOZy93Z3OC+qai3JTcCDjO6Qv6uqTia5FViuqiXgt5NcC6wxelV1w8wGfJaS/D2ju4cvTLIK/CGjG1eoqk8DDzC6i3oF+CHwm7MZ6dYMqPM64LeSrAH/BSzO28Gx8w7g/cA3uvcrAX4fuBSamtMhdbYwpxcBdyfZxeiFyX1Vdf/YcehO4J4kK4yOQ4uzG+5ZG1Ln3B9v+8xiLv3kOUmSGrKTL8VLktQcg12SpIYY7JIkNcRglySpIQa7JEkNMdglSWqIwS5JUkMMdkmSGvI/pZA2ww/FRSwAAAAASUVORK5CYII=\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the sample \n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full) # <------ the variance is the aquisition function\n", + " \n", + " # This plots the objective function, with magenta where we want to sample next.\n", + " # Red X dot for global maximum\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Fdt3c-nt7jLz" + }, + "source": [ + "Now we'll combine exploring and exploiting via Upper Confidence Bound" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4619, + "status": "ok", + "timestamp": 1615738097265, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "z0ioUXu97kbR", + "outputId": "7a319c30-82d6-4427-f65f-a38e9616102c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3822680810.9249616\n", + "0\n", + "2013660218.2729437\n", + "0\n", + "2772291767.7484975\n", + "0\n", + "2818697845.8608527\n", + "0\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 5\n", + "\n", + "Dsize = len(X_grid)\n", + "BO_lambda = .1\n", + "BO_number_of_iterations = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # Find the next sample \n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1214, + "status": "ok", + "timestamp": 1595534859890, + "user": { + "displayName": "Gilad Kusne", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjREbBmx-qD5T-UVzslvjchdeEN6H0TpFeyVoZGeA=s64", + "userId": "18167624870584705760" + }, + "user_tz": 240 + }, + "id": "duRZYlx17pz-", + "outputId": "d328c68a-4215-44b1-f44a-ea6e601930ff" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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a09pYx85N69i5eQMFoyeTXTmZzVtr+PfzT2LPGYE9twxbdjHKsvvzyXDZyPHYyfO7yPWZJvZsjwnsRZlOSrM9lGV7KM6SgN4byUIXYgDNnz+f2267jRtuuIEzzjiD008/HYDXXnuNa6+9lurqas466yxuvvlmZs+e/Rl7MyfWTQ1BNjUE2drUsUdNaSiIxRM0BCLsajdJdXXtIZqCEbq6pu1WRa7XSV7y5J/rc5DrdeJ29E8QddhMTbE020NptpvCDNdh19rTXTAco6XT1Nhbk10ULckA3xmK0lhbw85NG6jdvJ6dW6vZ1djCzC9fi7toFJtrdlCzcxe2nNLuwK7Q5HjsFGS4u7seijJcjMz3UZnroTzXQ4F/3xaE4UgCuBADZNGiRZx44olceumlPPzww/us7+zs5Kc//Sm/+MUv8Hq91NbW4vP59tmuMRCmuj7Ip/UBatuGTi27a8habWuoOxO+IRDuDtZuu5UCv5P8HktWPydEWZSiKNNJWY6H8hwPxZnuYR+wD0VXs3xLZ6Q776ClM0pbp5nYp3ZLNUtfe5YdmzdS39JOh3LjKKhk7NwvE4jbCEbi3ftyqzgFGU5KcjOoyPUyozKbKWXZVOR69ls7v/vuu/eY0Kauro7HH3+c6667bkCOv78NygCulCoDHgaKgARwn9b6jgO9RgK4GOzmz5/P3/72Nz766CP8fv9+t1u7di3t7e3MmDGj+7na1hAb6wJU1wdoCkYGorj9LhyLU5vMgN+ZDNpdWfAOq4XCDCeFGS4Kko/+Pm7+3h+/y0ZFrpfKXA9lOZ59ssJF34jFE7SFYrQmA3prZ5RdTS2sXb2GrLIxxLDy5r8WsGjh68TcuTgKq3AUjcaeXdK9D49Vk2WLcURFPidOLOX0SYXkJ2vnd999N9dffz0TJ07kjTfeAGDu3LmsXr2au+66a0gE8cEawIuBYq31h0opP7AMOF9rvXp/r5EALtJBa2srmZmZB7VtbWuI9bva2VAXoK0z/RPQAuEYO1o62dHSyfaWThoCuy9E8nwOijJdFGeYBKaBzEq2KEVxlouqPC+VeV7yfM4BeV9xYJFYgrbksL4t22v5+JNPWLPqEzZt3c70L3+LzQ1B3v/gfTqsPuxZReZFWuOKBzhu8iiOzIU7//NyqtevJT8/H4D6+vrugD4UppkdlAF8b0qpZ4G7tNav7m8bCeBisHrqqaeoqKjg6KOP/sxtGwJh1u5sZ/2udlrTPGi3dUbZ3tLJtmYTsLuOx2ZRFGe6KMlyU5zpoihz4BO/nHYLI3O9VOX7qMiVWnY60lqzcXMNSz5czuIVq1i+pZGa9gTklOMsGU9HJE482MKOB75ForMNAI8/g2eefZ7T5h5cYuhgN+jHgSulKoFpwAepLYkQh66+vp4rr7yS2bNn88orr/S6TVsoyrradtbWttPQHh7gEvadQCjGtuYOapJjzdtCMQCcNgsjstwcWZpJSZabfJ8zJf3IfpeNUfk+qvK9lGZ7pC87zSmlGDOynDEjy/nqhbunGO6qeG5u7ODH/3Mv/9RxulI7Q3HF15/cQuXiKBOLM9j0/kuMzrIya/JYjpo6mfFjRmMbIqMIUh7AlVI+4Enge1rrtl7WXwNcA3yucbJC9Lef//znBINB7rhjzxSOSCzBxroAa3a2UdPckZaJaOFonG0tnfuMM3faLJRmu5lWns2ILDd5PkfKJunI8tgZXeBjdIGPogyXTBYyDHR9x95EkI+ee4BYKEh+fj5aaxoaGuh8+sdkfOcu3lwfJpxxFOsT8NyiRsKP/YVY7XpmTDuSi792BU6rYv1H7zJ63ERKSopx2W37zLLXNWe8I3kLWlvydrSDQUoDuFLKjgnej2qtn+ptG631fcB9YJrQB7B4QnymrVu3cs8993DVVVcxfvx4ALa3dLJqeysb6gJpN21pPKGpbQuxtamDrY0d7GoLoTFDuUqy3BxRkklpjqlhpzJQZnvsjC30M7rQJ8ONhrHHH3+c1atX95rEdqZvM9fe+C2WbG7i2aWbeXddnJ2+WUQmnMB64FcvryPXqVn1/JOEtt6GraORoopRFFeOYeYXLqBs7OTuW8HuTSmwJ+e7t3U/mnnvvzSt9KBn4DtcKQvgynwqDwBrtNa/TVU5hDgc8+fPRynFD266maWbm1i1oy3tMsjbOqNmYpimIDVNnUTiCRRQlOliRmUO5TkeijJTPxY6y2NnXKGfMYV+8v2ShCbozjLvOYzsjTfe2GMY2ayqXGZV5ZJIHEV1fYC3NtTzwadNJnejqYPsuVcDoOIR4g2bWbNxCUW7mhkxWlO98gMe/dWNFI8cS3HlWIoqx1BcOYaiyrFohxPznx7fo0yJAWxqS2UW+hzgbeBj6O6++KHW+sX9vUaS2MRgorXmv378E7Y1tjHry9f2elOMwSiWSLC9uZPNjR1saQx2N4v7XTYqcswkGmXZgyPpy++yMbbQz7gif69TgwrxebR2RPl4eyurdrRS3x7enYjZ3ElThwnLdqsixx4nsHEJres+YNfKt4hFQgB89w+PUzH+SKpXLmH9h+9QVDmW4sox5JdWcv2p4/v0fyctstAPhgRwMRiEonFW7Whl5bZWWtJk7vH2UJRNDUE2N5q+7FhCY7UoSrPcVOR6qMj1DpqbTbgdVsYU+BhX5GdElntQlEkMTfGEZv2udpbXtFDbaoJzMDkUcluzWboCusNqId+VwB1q5KjJEynK8fPmE3/h+Qd+g06YOqjVZmf9xmqqKsr6rIwSwIXoA7vaQiyvaWF9bTub131C484ajjz+C4MywCS0ZldbqHsK1q7x2BkuG5V5XipzvZRmuwdNMo7dqhiVb4J2Ra435c31YvipbQ2xvKaZ9bsCe7SmBcOxZDA3oy+6hkq67VZKs92UZDhwd9bTvn09dVuree6vd+J29F3vtARwIT6neEKzoa6d5Vtb2Jm8Qtda88cfXEHt5g3c/PBrON3eFJfSiMQSbG3q6A7andE4SkFJppuReV5G5g2eWjaYRKDyHA/jizIYXeAbsMQfIQ4kEI6xoqaFldtaCUXj+6xvC0XZ1tRJTXMHNc0dBMNmmwyXjbIcD9+YM5IvHVXaZ+UZ9OPAhRhsOiNxVm4z/8SBcGyPdR+9+QIbV3zAl677ccqDdzAc49MGM2d6TXMn8YTGYbNQmeuhKm9wTmCS53cysdjPuKIMfE45BYnBxee0cdzoPGaOzGH1jjY+3Nq8R1dZhsvOxBI7E0syuuf2r2kywXxjXYAH393cpwH8QOS/R4gemoIRPtzSzJqdbcR6SUoLtDTx9D0/o3z8FI47+5IBL1/XCaO63syZvqvNTAqT6bYzeUQmVXleSrIG3804vE4r44oymFDsl2FfIi3YrRamlGVxZGkmG+sCLN3S3N1P3kUpRU7yvudTyrJIaM286QMTvEECuBAA1DR18OHWZjY1BA844crTf7ydUDDAxd+/HYt1YGq2Wmt2tYXZmAzaXbWBwgwns6tyqcr3kutN3UQq+2OzKEYV+JhQnEFFjgfLILuoEOJgKKUYkxy+WNPUwdItTWxu6Oh1W4tSA3qBKgFcDFtaazbUBVjWy5X1/hx53GlUjJ9CUeWYfi1bPKHZ3tJJdV2A6oYAwXAci4LSbA9Ty7KoyvPid9n7tQyfV0mWi4nFmYwp9A265nshDkdZjrl7XV1biMWbm9hYF0jpDIsSwMWwE4snWL2zjWVbmg95GNiUE87op1KZcm1N9qNtqg8SiiWwWRQVuR5G5/uozPMO2oDod9mYUJzBxOIMsr2OVBdnUNvwvQ0AjPl9/14Eiv5TkOHi7CNLaApGWLypiXW17QM6gUsXCeBi2AjH4ny8rZUPtzZ3Z44erKfv+RnZBSWc9OWv92mZovEEmxuCbKwPsKkhSDRuktCq8ryMSt5Fa7AM9dpb19CviSUZlOd4Bl0T/mAVWB5IdRFEH8nxOjjjiCJmVeWweFMTa3a2D+j7SwAXQ15nJM5HNc0sr2khHD20uclj0QjP3/8b3n7mkT4L3uFYnE0NQTbWBdjSaCZVcdutjCv0M7rAN+jvolWc6WJSiTSRC9Ely+Pg9ElFHFOVO6AX3BLAxZAVDMf4cGszK7e1fq6bijTurOHh279HzfpPmHPeZZx51Q2fuyzhaJxPG4JsqAuwtbGDuNZ4HVYmlZgx0CVZbiyDuAbrcyabyEsyyJEmciF6leke2LwUCeBiyAmEYyzd3MQn21uJxj+7XyoWjbBh+fugNQ6Xh5FHHE2ks4Pff/vLJBIJrrzlLo6cc9ohlyMUjfNpfZANde1sbeogoU0gPLI0k9EFPoozB/etL20WRVW+j0nJJnLJIhdicJEALoaMQDjGks1NfLKttdcx3L2JRsL89SffZs3ihd3P/eblNbi8Ps7/1o8YOXEaOUUHP64zFI1TXR9gQ12AmmTQ9rtsTC3LSpv7VRdluphYnMG4Ir80kQsxiEkAF4Pa9u3bufzyy6msrOQnP/kJI0aM2GebYDJwf3wIgRsgEg7x4PzrWLdsEeddexMV46cQCYewWEwf1tEnn3NQ++kO2rsC1DSboJ3hsjGtLJvRhT4K/am9d/bB8DltjC/2M7E4g1yf3KpTiHQgAVwMWitWrOCss86ipaWFRYsWMW3aNK6//nrAjOF+94PF3HHvg/zvv56mfPwUrrr1rkPav9VqxeXxcvF//pyZX7jwkF7bW9DOdNuZVp7NmAIfBWkQtLsmWplYLE3kQqQjCeBiUFq4cCFnn302WVlZvPvuu/j9fkpLTVP2g399mB/dcis7ajZjtdkZNXkGJ3zpCgAioU60ThxwjvJwZweRUCf+7Fwu/9EdBx1oh0LQBhiR5WZCcYZkkQuR5iSAi0Fp3LhxnHLKKdxzzz2UlJQAZvjV+5828sdHn8SdU8C8C6/myDmn483I6n7dSw/dwcpF/8tFN/yMsUcdu89+I+EQD9xyLR3trdxw95NYrQf+F+itTzvDZUu7oJ3ptnc3kWd5JItciKEgpQFcKfUX4GygTmt9RCrLIgaHd955h1mzZlFUVMQzzzwDmBnKVmxrYcnmZjojcS75wf/b7+uPnHMaaz54k3tv+jpnXf2fzJ33je4AG4tGeOin36F65WIuufFX+w3eQyVoO+0Wxhb4mVCSwYgsd6qLI4ToY6mugf8VuAt4OMXlEIPAiy++yLnnnsv8+fP50Y9+RCKhWbWjjQ82NdIein32DoCRk47mhruf4rH/uYnn7/8NOzet5ys3/AyL1crffvF/WbN4IfO++xOmn3reHq/bb9Auy2ZMYfoEbatFMTLPy4RiP5W5XmyDdBY3IcThS2kA11q/pZSqTGUZxOCwZMkS5s2bx5FHHsl3vvMd1u9q592NDTQf4lzlAE63h8tv/j2vjfwjrz9+P6deci1LXn2GlYte4bz/cxOzz7oIOHDQTpfscQClTL/2+CLp1xZiOEl1DVwIqqurOeussygoKODPjz7B82ta2NV2cHcH2x+lFKdd+i1mnXkR/uxcTjj/MnIKRzDtC/P4ZEcrG3sZ8pVONW2Aggwn44v8jC30D9o7kwkh+s+gD+BKqWuAawDKy8tTXBrR17TWXHTRRcRicb7/P3/lrW0x4OCayw+GPzuXzkicrSEnu0Ycz5/f/hSdpn3aYG6eMK7Iz7hCv9z1S4hhbtAHcK31fcB9ANOnT0/hnVdFf2gLxbj42z+ipiVEzF/cZ/sNhmNU1wfYWBdgW0snOjnk6+jybEanWdDO9tgZU+hPthC4Ul0cIcQgMegDuBialn20gkeffYWRx38Ja8lEKksOf5+BUKy7T3tHSycayPLYmV5hgna+L72C9ugCP2MLfRRkSNAWQuwr1cPI/gGcBOQppbYBt2qtH0hlmUT/iic0jz7/Ot+67MtY7Q7+a+opuL3+z72/ts4oG5M17Z2tpt88x+tgRmUOYwp95HodaRO0c30ORhf4GFPgJ98v05kKIQ4s1Vnol6Ty/cXAWlfbzt9feJNffftivJk5fPNXf/1cwbspGGFjXYDq+gB17WEA8n1OZlflMrrAlza3u1QKijJcjCrwMTrfJ33aQohDst8ArpR6RGt9mVLqu1rrOwayUANFa502tbN0tr2lk7fX17NuUw1/+O9r8PizuGZl9zEAACAASURBVP63fycrr/CgXq+1pq49THV9gOq6IE0dEcAEvzmj8xiV702b2cVsFkVZjoeqfC9V+T58TunFEkJ8Pgc6exytlKoAvq6UehjYI9JprZv6tWQD4Jnl24knoCzbTVmOh6IMl9zQoQ+1dkR5e2M9G3YFANjw0Xt0BtsOKngnEpodrZ1U1wWpbgjQHop1j3c+sjSfqnxv2gyd8jltVOSaoF2e48Vhk8lVhBCH70AB/E/Ay0AVsIw9A7hOPp/WonHN9uZOapo6oLoRh81CcaaL0mwPpdluCjNcWCWgH7JQNM4Hm5pYUdNCvMftPY8+5VzGHnUc/uzcXl8XjSfY2tRBdX2ATQ1BQtEEVouiPMfDMSNzqMrz4XYM/klKLEpRlOmkMtfLyDwv+WmU8S6ESB/7DeBa6z8Af1BK/VFr/c0BLFPKRGIJtjR2sKWxAwC7VVGU6WZElpvSbDdFmS7sMjXlfiUSmpXbW3n/00Y6I/Hu5999/jHyRlQwdtrsfYJ3RyTGpoYgn9YH2drUQSyhcdgsjMzzMirfS0Wa1Fj9LhsVuV4qcz2U5XhkNjQhRL/7zA644RK8exONa2qaOkwNHTPPdL7fSUmWm5JMFyVZbrzShwnApoYgb2+opzEQ6X4uFAzw5pN/4dW//5EjjzuNsdNmo7WmuSPKpw0BPq0PdmeO+5w2JpVkUJXvY0SWe9C3fLjsVspy3JTneCjL9kgCmhBiwEn0OQTxhKa2NURta4gPk89luO0UZ7qSi5t8v3PQB5++1BgI89aGejY3dHQ/F4tEeOf5v/PaP/5EsLWZKSedxZyrbmbh+no2NQRp7TTzmxf4ncmm8cHfzOyyWxmRbVpiSrPdaTWmXAgxNEkAP0xtnVHaOqOsq20HTJZxnt9JUYaLokwXhRkusj32IXey74yYe3O/vvhjVr7zGh3tLZSPP5IjZp/C5rXL+ddDd1M592KKZp5JfdTB86ubsFoUpdlujirPYmTe4E5Cy3TbKckyrSwlWe60Gk8uhBgeJID3sViPWjo15jmHzUK+30lhhot8n5N8v5NcryMtM94TCc3ybS28t6Ge/13wIC899Hui4RAWi41Zl3yXjqJpbAoXU/adR4mjaI5bGVNgkrnKczyDMofAYbNQ4HdSnGnyHIozXdI1IoQY9OQsNQAisQTbmzvZ3tzZ/ZzNosjxOcj3Ocn1Ocn3OcnzO/A4Bu9XsqkhyFvr62kKRnjsf37I0oWvMPr0Kyg99nx2dsD2SJztnzZSmOFk1shcKvO8g27OcZfdSp7P0X1BNVRbSIQQQ9/gjRZDXCyhqWsLU9cW3uN5j8NKjtfRveR6nWR57fidtn4NMnfffTfz5s2joKAAgLq6Oh5//HGuu+46moIR3lpfz8a6dna1dlLTHCI68wrKpl5JGMW2gKYi10NlrpeKXM+guAixWhTZXge5XUuy5SPTPXib7YUQ4lCk/kwr9tARidMR6WRbj9o6mCFtWR4H2R4HmW47WR47mW47GW4T3A+mOV5rzUMPPcSaNWv49re/TWlpKS+//DJ33nknL774Ivfccw9vvPEGAHPnzmX16tV8tLUZNfEMNjUEqK5tQlvNHN2FGW5mjjDDpgozXFhSUINVymSvZ7rtZHscZHvtZHkc5CQ/o3TsohBCiIMlATxNROOa+vYw9e3hfdZZlMLnsuF32chw2fE5bfhcNvPotOFxWvE6bPzut//DjTfeiNPp5IILLqC0tJRAIMCLL74IwOrVqxk9ZgwWq53W5kZc+eW80jES65pdEG4nsO59qgozOfeCr+AdgAQ0p92C12HDmzyODJcNv8uO32XrvngZThn/QgjRkwTwISChdXc2/HY6e91m9Qdv8sAtP2DGyWfy/Z/fwy6XnVdX7yJ70vHc/vg7/Ou1t1n80M9ob2sDwOrJZOZ1d5DtiLN0wf9j58pFfOW78znmzK+gP+Ou7EqBVSksFoXNorBaFHarJbkoHDYLDqsFp92C02bFZbfgsltx2614HDbz6LQOyoQ3IYQYLCSADwO7tlbzyC++z4hREznvO7ezZEsz25pNM31ta4i41mhHKVabjUTyNTleB49/81iOP/542mtrefnllzjttNMA0xSvtblw6IrlClBKYVFIQpgQQgwACeAHKR6PUV+ziezCETjdnn3WbVmznE8/XsaEmScyYtT4FJVyX9F4goA9m9FfuRlv1TT+8sEO4gmNAvL9TqaVZ3F0gZWHfnQj0UAL+fn5ANTX1zN37lzuvfdeJkyYQGHh7puPKKVQCixIoBZCiFQZ1gE8GgnTGWwnFokQi0ZIxGPYnS4yckwQa9q1nXXL3mHt0rfZ8NF7hILtHHPGl7no+7eTSCR466m/UrP+E9YuW0RneysAY4+ancpDIhSNs6Olk631bWze1Uxbwo5GoQqPxGOxceQIM5PYiCw3R5ZlMWdMHo88cB/r1q5h4sSJ+ySxrVq1ipNOOimlxySEEGJfKQ3gSqkzgDsAK3C/1vqXA/n+P/nmxaxfuWyP58rGTeaGO58A4C+3fosdn64lK7+YKSecwchJR1FcOQaAxp1bee6+X+HLyuWI2acwceaJjJ46C29GFgArF73KpFknYbX1X7KX1pqWzig7W0LsaO1ke1OQlpC5iYiORQnXbiBThTjjzHMoznLhtJkbbBRkODlxbD6l2aYl4brrrgPYYxjZG2+80T2MTAghxOCj9GdlJPXXGytlBdYDpwHbgCXAJVrr1ft7zfTp0/XSpUv7rAzf+dmdbKnZgc3hwGZ3YLXa8PgzmTT7ZABWvPUyhRWjKSwftU+/rtaaQEsj3swcLJY9k622bVjFb6+7gKojpnP6ZdfjzcjC7csgK68Ii9VKJBwi0tlBLBbFl5GNzXFwN8IIx+LsagtT2xpiZ2sntW0hQlHTa+20WQhtW03rhqVk2yKMKitm7JEzqJg4DYfTBYDbYeW4UXkcMSJD+qmFSJGPTvoIgGlvTktxSUQ6UEot01pP721dKmvgM4GNWutPAZRSjwHnAfsN4H1tzhnnM7K596xtgCknnLHfdUop/Nl5va4rHTOJS//7Nyz43Y/4039d2f38bf98F392Lv/7t7t4/Z9/BiAzr5CLvn8746cfv8c+YokEO+pb2LC5hg6rj5aojaaO3Xf6yvE6qMrzkeNMUJbjJz/Ly+bVLThnX0JJ1Z598BalmFKWyayqXLnNpRBCDBGpDOAj6J4tHDC18GNSVJY+d/TJ5zBmyjHUbd9MR1srnYFWPBmZAEyadTJZ+cUopVj03KPc9+NrOfbi7zL+1IvY1R5iZ3OQxmAUlAXwoKIBKovzGVvk43/vvInwzvW0WRU73B7amxo49uyLOfOqGxg56eh9ylGR6+HEsfnk+pwD/AkIIYToT6kM4L214e7Tnq+Uuga4BqC8vLy/y9SnMnILyMgt2OO5cCyOo2QCvowq6tvDlF59LK5AmO3Kwva1dVgSMTq3rSa0Yz3F2V6mTZ1KYVkuZWNLAGicPIHQqDLCHUFCnUGKK8cw9cQv7vPeWR47J4zNZ1S+b0COVQghxMBKZQDfBpT1+L0U2LH3Rlrr+4D7wPSBD0zRDl88oWnpiNAYjNAQCNMQiNAYCNMWinVv47Zbyfc7mZ7no8DvpCDDxYZ3X2Jj0zJOvvwbFJRV7bPfM6+64YDv67BZmDkyh6PKs2WWMiGEGMJSGcCXAGOUUiOB7cDFwFdTWJ7PpStQNwUjNHVEaAqYoN3cESGRvNxQCnI8DooyXRwxwtxUI9/nxOOw7pNMNv2Uc5l+yrmHXA6lYHxRBnPG5OGTW2EKIcSQl7IzvdY6ppS6HngFM4zsL1rrVakqz4ForQlG4rR0RGjpiNLcEaE5+djaGd1jatEMl41cn5ORed7uu2Ble+3YLP03LWhxposTx+VTnOnut/cQQggxuKS0qqa1fhF4MZVl6BJPaNpDUVo7o7R1xmgNRWntiNLSaYJ2LLE7SlstiiyPnTyvk7EFfrK9dnI8DrK9jgGdv9vntHHc6DwmFPtlWJgQQgwzw7at9dXVu/jnkhpqW0O0dkYJhmN7ZNBZlcLvtpHltlOa7SEreQvPbI8Dv6t/7839WWwWxVEV2cyozMFhkxt+CCHEcDRsA/jGugDVdQE8Tiul2W4yXHYy3OY2lZluc0vOwVirHV3g44Qx+WR6+v92nkIIIQavYRvAv3nSKHJ9DrYfYCKXwSTfb6Y/LcvxfPbGQgghhrxhG8DThcdhZfaoXCaPyByULQJCCCFSQwL4IGW1KKaUZXHMyByZ/lQIIcQ+JIAPQlX5Xk4Yk0+29+BuciKEEGL4kQA+iOT5nZw4Jp/yXOnnFkIIcWASwAcBj8PKsaPymFSSgUWmPxVCCHEQJICnkM2imFaezYyR2Tht0s8thBDi4EkAT5FxRX6OG51HplvGcwshhDh0EsAHWEmWixPGyrzlQgghDo8E8AGS6bYzZ0weYwv9qS6KEEKIIUACeD9z2a3MHJnD1LIsuT+3EEKIPiMBvJ/IRCxCCCH6kwTwPqYUjC30c9yoPLnhiBBCiH4jAbwPlWa7OX5MPkWZrlQXRQghxBCXkgCulJoHzAcmADO11ktTUY6+kudzMGdMPiPzvKkuihBCiGEiVTXwT4ALgHtT9P59wu+yMXtULhOLM+ROYUIIIQZUSgK41noNkLZBz2SWZzOlNAub1ZLq4gghhBiGBn0fuFLqGuAagPLy8pSWxW41U58eXZEtmeVCCCFSqt8CuFLqNaCol1U3a62fPdj9aK3vA+4DmD59uu6j4h0Sq0UxeUQmM0fm4HUO+mseIYQQw0C/RSOt9an9te+BohRMKM5gVlWuzFkuhBBiUJHqZC+UgtEFPmZX5ZLrc6a6OEIIIcQ+UjWM7EvAnUA+8IJSarnW+gupKMveqvK9zK7KpSBDxnILIYQYvFKVhf408HQq3nt/KnI9zB6VK3cJE0IIkRaGfRN6WY4J3COyJHALIYRIH8M6gJ8+sZAsjyPVxRBCCCEO2bCehUSCtxBCiHQ1rAO4EEIIka4kgAshhBBpSAK4EEIIkYYkgAshhBBpaFhnoQshxEDzTfWlughiiJAALoQQA2jM78ekughiiJAmdCGEECINSQAXQggh0pAEcCGEECINSQAXQggh0pDSWqe6DAdNKVUPbOnDXeYBDX24v8FKjnNokeMcWuQ4h5a+Ps4KrXV+byvSKoD3NaXUUq319FSXo7/JcQ4tcpxDixzn0DKQxylN6EIIIUQakgAuhBBCpKHhHsDvS3UBBogc59Aixzm0yHEOLQN2nMO6D1wIIYRIV8O9Bi6EEEKkpWERwJVSZyil1imlNiql/ruX9VcqpeqVUsuTyzdSUc7DoZT6i1KqTin1yX7WK6XUH5KfwUql1FEDXca+cBDHeZJSqrXHd3nLQJexLyilypRSbyil1iilVimlvtvLNmn/nR7kcab9d6qUcimlFiulViSP87ZetnEqpf6Z/D4/UEpVDnxJD89BHmfan2+7KKWsSqmPlFLP97Ku/79PrfWQXgArUA1UAQ5gBTBxr22uBO5KdVkP8zhPAI4CPtnP+jOBlwAFzAI+SHWZ++k4TwKeT3U5++A4i4Gjkj/7gZ3AO5/1nQJ/An58gP3+ELi/n8r8M8z419rDOM71vfx/HvA7/axjHgxL8jvyJX+2J7+rWXtt8y3gT8mfLwb+mepy99Nxpv35tsexfB/4e29/nwPxfQ6HGvhMYKPW+lOtdQR4DDgvxWXqc1rrt4CmA2xyHvCwNt4HspRSxQNTur5zEMeZckqpN5VSzUop5+fdh9Z6p9b6w+TP7cBiYP5em+3znQK3aa1/mizHSUqpbXvt9+da6z6v8SilyoD/xATfooN9XS/HuQYYcYD3uVIptWivfVzbdcyDVfI7CiR/tSeXvROQzgMeSv78BHCKUkoNUBH7xEEe55CglCoFzgLu388m/f59DocAPgKo6fH7Nno/QVyYbIZ8InkyGmoO9nMYCmYnm/BeUkpNGsg3TjaTHY85aZ3bh/uchqnN9DSYvtMKoFFrXfd5d3CA44Tkd4qp8Xg+73ukUrK5dTlQB7yqtd7v96m1jgGtQO7AlvLwHcRxwtA43/4e+AGQ2M/6fv8+h0MA7+2KZ+8rwn8BlVrrI4HX2H3VNJQczOcwFHyImXpwCnAn8MwAv//lwPvAX4Ereq5QSuUqpZ5TSrUl+wl/2lWbVEpVKqW0UsrWY/s3lVLXAU8CzwIvJp9XSqnfAacBLydPhEckX3arUupnSikvpnm9RCkVSC4lSqn5Sqm/9XiPc5N9lS3J95vQY91mpdT/Te6/Ndmf59r7gJVSpwKv9nivv/ZW+0/u79Tkz/OVUguUUg8rpdqVUmuS5f2e1rot2Tf+lDLTJz+FqcFcDIwHpiXfpyW5r78qpX7W433+I9nv2JT8vEt6rNNKqWuVUhuSrSR3D1QtV2sd11pPBUqBmT2+s+7i9fay/i9Z3zqI40z7861S6mygTmu97ECb9fJcn36fwyGAbwN6XuGVAjt6bqC1btRah5O//hk4eoDKNpA+83MYCrTWbV1NeFrrFwG7UipvAItwOfBocvmCUqqwx7q7gRCm3/fryeVAFPDN5L56nihOx+QC/B34D+AioBHznXYAaK2DwBeBHVprX3LZ4/tWSo0F/gF8D8jHXCD8Synl6LHZV4AzgJHAkZj+yz1orV/b67322WY/zsV0aeUBTsCttX5KKWUFnsfc96ASKAEe0VqvAa4BwpgAkLX3DpVSJwO/SJa7OLmPx/ba7GxgBjAlud0XDrK8fUJr3QK8iflce+r+H01eyGUyyLuLDmR/xzlEzrfHAecqpTZj/r5O7nlhnNTv3+dwCOBLgDFKqZHJE9PFwHM9N9irL/hcTD/cUPMccHmy9jYLaNVa70x1ofqaUqqoq0allJqJ+RtvHKD3noNpSl6QvDKvBr6aXGcFLgRu0VoHtdafcICaR/IYxgE7tda/3Wt1FJPw9THmgmFt8n1bgc5DKPJFwAta61e11lHgN4AbOLbHNn/QWu/QWjdhak5TD2H/n2URptb95+TPXRc7MzFB+8bkhUgW8E5y3cjk4/6+00uBv2itP0wGiZswze+VPbb5pda6RWu9FXiDvj2mXiml8pVSWcmf3cCpmO+tp+fY3WrzZeB1ncyAShcHc5xD4Xyrtb5Ja12qta7ExJTXtdZf22uzfv8+bZ+9SXrTWseUUtcDr2Ay0v+itV6llPoJsFRr/RzwHaXUuUAMc4V0ZcoK/Dkppf6BydbNSzZd3opJIEFr/SdM7epMYCOmlnZVakp6eA7iOL8MfFMpFcMEs4sH8CR4BfC/WuuuOxH9Pfnc7zA1XBt79lkf6M56x2ECWjTZn5gDtCulrk2uvyu574mYwF2T/P36QyhvSc8yaK0TSqka9uxHr+3xc0fyNX2lFnOcl2FO8q7ksb6UfK9vYDLMe36nPmDdAb7TEkw3CgBa64BSqhFzTJt7vG+XjuQ++1sx8FDyQs6Cuch7fq/z0APAI0qpjZjz0MUDUK6+djDHmfbn2/0Z6O9zyAdw6G5KfXGv527p8fNNmCv1tKW1vuQz1mvgugEqTr85iOO8CxPcBlSytvEVwKqU6goQTky2/xTgE8wJq4zdNZLyHrsIJh89QJvWepFSah3wG631/UqpK4FvJC9SuvxBKVUALADe1lov3as797MuXHYAk3scg0qWb/vBHPNnCNIj2Sx5Qt/nloha60XJt64ENgHTMc3bV5PM7u35nSqlrsB0G+zPDkxrRNf7ejGJQ31xTJ+b1nolJkFv7+d7nodCwLyBLFdfO8jjTPvzbU9a6zcxXQUD/n0OhyZ0IQbC+UAcUyOemlwmAG8Dl2ut45hkrPlKKY9SaiI9kty01vWYIPM1ZbJ4vw6M6u2NlFIzlFLHKKXsmEAZSr733nYBuUqpzP2UeQFwllLqlOS+/hPTv/zuIR57b9ZjatRnJff9I8wFzcFYjBn3/kullFeZyUGOS67bBZTu1U/f09+Bq5RSU5UZxvdzzJwHmz/3kQgxSEkAF6JvXAE8qLXeqrWu7VowNcdLk0ks12Oaa2sxWeoP7rWP/wBuxPTvTmL/gTQD02/cjGkCb8T0X+9Ba70Wk6T2qTJZ5iV7rV8HfA2Trd8AnAOco818CYdFa92KmcjifsyFSRCT1HMwr40nyzIa2Jp83UXJ1a8Dq4BapVRDL6/9N/BjTOb+TsxFUDo2RQvxmeRmJkKkSI9m8TmpLosQIv1IDVwIIYRIQxLAhRBCiDQkTehCCCFEGpIauBBCCJGGJIALIfYrOWRtZXIol1eZedP3nttaCJECadWEnpeXpysrK1NdDCGEEGJALFu2rEFrvc8kSJBmM7FVVlaydOnSVBdDCCGEGBBKqf1OuSxN6EIIIUQakgAuhBBCpCEJ4EIIIUQaSqs+cCGE6DeRCLS0QHMztLVBa6t5bGuD9nYIBs0SCEBHB3R2mqWjw7w2HDaPkQhEoxCPQyxmlkTCvIfWbGj+KgBjch8DqxUsFvPocIDdbhaHA9zuPRefD/x+8+jzQWYmZGXtfszJgbw8cLlS+CGKgSQBXAgx9GhtgnFtrVnq66Guziz19dDYCA0N5rGx0QTtjo7P3q/FAl4veDx7BleXywTdzMzdgdhmM0tXkE7e6jXw8hSzr+O3m8Aej5slGt0d/MNhU6YdO3ZfKASD5kIi3tuN53rweEwgz8+HwkIoKjKPxcUwYgSUlprHoiJTNpG2JIALIdJLNArbt0NNDWzdCtu2mUC3fbt53LHDBO1weN/XWiyQm7t7qayEo4+G7OzdS1aWWTIyzOL37675ulzdgfhzO+kj8/jw57hJmtbmuNrbTQtBa+vuVoOmpt0XJg0N5mJl505Yvtz8HIvtuS+bzQTzigqzjBwJo0aZZfRocwFwuMcq+pUEcCHE4BKPm6BcXQ2ffgqbNsHmzbBli3ncscMEsp4yMqCkxNQsjz/e1DaLi00ts6gICgrMkpOT3rVOpcxFhMtlAuzBSiRMUN++3SzbtpkLoK7P9PXXzfM9P1e/H8aP33M54ggT4NP5MxxCJIALIQae1iZgrF0L69fDhg27HzdvNrXsLlYrlJWZ2vJpp0F5uVnKysxSWmqCjdg/i2X3Rcy0ab1vEw6bi6XqarOsXw/r1sEbb8Ajj+zezuWCCRNg8mSYOtXsb+pU02ohBpQEcCFE/4nHTVBYtcosq1eboL12renT7eLxwJgxMGUKXHghVFWZml5VlQnQNjlV9Tunc3dNe2+BAKxZY77DTz4xy6uvwsMP795m5EiYPh1mzICZM+Goo+TCqp/Jf4UQom80NcGKFbBy5e5l1SqTgNWlrAwmToSrrzaBYtw4s5SUSH/rYObzmcA8Y8aez+/aZfrYP/oIPvwQliyBxx8365QytfRjj929VFXJ99yHJIALIQ5dXZ05WS9bZk7eH31k+lO75Oeb2vS115p+00mTTOCWGtnQUlgIX/iCWbrU18PSpfDBB/Dee/D3v8Of/mTWlZTACSfAiSeaZfx4CeiHQQK4EOLAgkFzQn7/fXNSXrrUJECBOfmOGQOzZsE3v2n6Q6dMMSd2MTzl58MXv2gWMN0oq1fDO+/AW2/BwoXw2GNmXVERnHKKWU491bTQiIMmAVwIsZvWZmjWokXmhPvee/Dxx7vHHo8aBccdZ5pSp083AVtq1eJArFbTlD55smmR0dokyS1caLLfX30VHn3UbDt+PJxxhgn+J5wgk9J8hrS6nej06dO13I1MiD6ktUkoW7jQLG+/bbLDwQTmWbN2LzNnmglCxGH5KDkOfNqb+8kGH260Nklxr70Gr7wCb75pMuLdbjj5ZDj3XDj7bNP8PgwppZZpraf3tk5q4EIMJ1rDxo3w73+b2s/ChaY/G3b3T86ZY2rZkyfLeF/R/7qS3SZPhhtuMDPiLVwIL70Ezz8PL7xgtjv6aDjvPLjgApNPIX3nqauBK6XKgIeBIiAB3Ke1vuNAr5EauBCfQ2OjaaZ85RUTuLv6r0tLYe5ck0x00kmSITxApAZ+CLQ2/ef/+hc895zJw9Aaxo41gfyCC0xXzhD+uz1QDTyVAbwYKNZaf6iU8gPLgPO11qv39xoJ4EIchHjcZIi/+CK8/LJJOtPaTBPalTB08skm+WwIn/gGKwngh2HnTnj2WXjqKdOCFI+b8edf+QpcdJGZUGaI/U0PygC+N6XUs8BdWutX97eNBHAh9qO11QTrF14wTY8NDWb2rVmzdg/zmT5dmsQHAQngfaSpyQTzf/7T9J/H46ZmfumlZhk1KtUl7BODPoArpSqBt4AjtNZte627BrgGoLy8/OgtPceaCjGcbdtmTmDPPmsSf6JRc4OOL34RzjrLBO3s7FSXUuxFAng/aGgwtfJ//MP0n2sNxxwDX/saXHKJ+b9IU4M6gCulfMBC4Hat9VMH2lZq4GLY+/RTePJJeOIJWLzYPDd2rEnuOe88U+OWWvagJgG8n9XUmED+t7+ZIZB2u8lkv/JKM0QtzablHbRZ6EopO/Ak8OhnBW8hhq3Nm00z4YIFZrpKMBm5P/85fOlLvc9dLcRwVVYGP/iBWVasgL/+1QTzJ580E8dccQV84xvmlqlpzpKqN1ZKKeABYI3W+repKocQg9LOnXDHHTB7tknS+e//NjWJ3/zG1MKXLoWbbpLgLcSBTJkCv/udmdvgmWfMXAa/+Y1J4Dz5ZFNT7+2+8WkilTXw44DLgI+VUsuTz/1Qa/1iCsskROoEg/D006a28Oqr5h7OU6fCL39psmxHjkx1CYVITw7H7m6mHTtMrfz+++GrXzWTE3396/B//o8ZSplGUt4HfiikD1wMOYmEmR/6wQdNE18wCBUVJvnma1+TGvYQJH3gg0QiYeZF+OMfzRjzRMIkfl53HZx5phnFMQgM2j5wIYatmhpTC3jwQXO/bL/fZMtefrmZBW2QnDyEeQ2TsgAAEOBJREFUGLIsFjjtNLNs22Zq5PfdB+ecY2ri118PV10FWVmpLul+yVlCiIESi5khX2efDZWVcMstpln8kUegthb+/Gc4/ngJ3kIMtNJSmD/f3BL3sceguBi+/33z/HXXwYYNqS5hr+RMIUR/274dbr3VNI2ff77JJP/hD00y2r//bZrKPZ5Ul1IIYbebGd0WLTL3up83z9TMx40zQ9HefNOMMR8kJIAL0R+0hjfegC9/2QTun/7UZMQ+84y5XedPfypJaUIMZkcdZbq4tmyBH//Y3Fp37lwzhPMf/zAtaikmAVyIvtTRAffeC0ccYYapvPGGaYrbuNHMTX7eeWk3kYQQw1pREdx2m7nwvu8+8z/+1a+aceR33AGBQMqKJgFciL6wbZsZl11WBtdeC06nSVLbtg1+/eu0G54ihNiL2w3/8R/m7mjPPmv+17/3PdPCNn++uevfAJMALsThWL7c9GGPHGkC9dy5ZljY/2/v3oOrLu88jr+/sqDOsKMzXqqCYJ16AbwkmAGxXorKSAVD11vZ8bIqNl6orrWt1N0pFqdSEEtVFDUaxMuiaFfWwGBR6wVaUCAFJUBABKWptgFr7VpAc/nuH89hTdMED+TkPOf3O5/XzBlOOD+S75OHOd/zfX7PpaYm7Pi0776xIxSRXNprr3A/fNEiWLw4TDydMAH69AnnmdfX5y+UvP0kkbRwhxdfDMtPSkvDp/EbboB33w17lJ92WuqONBSRdgwZEua11NbCBRfAtGlwxhlhTXke6GacSLaam8NmK5MmwYoVcNhhMHkyVFQU9FpREeliAwbA44+HyambNuVtKagSuMiX+fzzsFZ78uSwHvToo6GqKgyd9+gROzoRKRR9+4ZHniiBi3Tks89gxoxQcW/eHJaVPPtsOAFMR3aKSGRK4CJtbd8edkWbPDkcfDBkSFgads45urctIgVDCVxkp88+C7suTZwYEvcZZ4T7WmeeqcQtIgVHCVyksTHsuPTTn4ZDRk49NRzpOXRo7MhERDqkZWRSvFpaYNYs6NcvnAXcq1c4h3vhQiVvESl4SuBSfNxh7lwoKYFLLoGePWHevLApw9lna7hcRBJBCVyKy5IlYaOV8vIwWe2pp8LpYCNGKHGLSKIogUtxWLcOzj8fTjkl7Jj24INhT+PRo3X+togkkt65JN22bIGxY8NOSS+9BLffHk4Gu+aacPaviEhCaRa6pNOOHXDvvXDHHfC3v4WEfdttcPDBsSMTEckJJXBJF/dwoMgtt8B778HIkTBlChx7bOzIRERySkPokh4rVoTNVy6+GPbbD15+Ocw2V/IWkRRSApfka2iA73wHTjoJ6uqgsjKcx33WWbEjExHpMhpCl+RqbITp02H8eNi2DW6+GX7841B9i4ikXNQK3MxmmFmDmdXGjEMS6NVXobQUbropLA2rrYW77lLyFpGiEXsIfSYwPHIMkiT19fDtb4cDRrZtg+efh/nz4ZhjYkcmIpJXURO4uy8E/hwzBkmIxsZQYR97LFRXw09+AqtXhx3VtIOaiBQh3QOXwrdoEVx3XUjYI0fCPffAkUfGjkpEJKrYQ+hfyswqzGy5mS3fsmVL7HAkn7ZuhSuvhNNPh08/DcPlc+cqeYuIkIAE7u6V7l7m7mUHHXRQ7HAkH1paYMaMcF/7ySfh1lvDvuXl5bEjExEpGBpCl8KyZg1ce20YNj/11HDoyIABsaMSESk4sZeRPQUsAY4xs3ozGxMzHolox46wnrukJNzrrqqC119X8hYR6UDUCtzd/zXmz5cC8dpr4bCR9evh0kth6lTQ7RIRkV0q+HvgkmIffwxXXw1Dh0JTE7z4IjzxhJK3iEgWlMAl/3aeGNavH8ycCePGwapVMGxY7MhERBJDk9gkv/7wBxg7NiwJKy0Nu6gNHBg7KhGRxFEFLvnhDg8/DP37w4IFcOedsHSpkreIyB5SBS5db+PGcNznK6+E87ofeQS+9rXYUYmIJJoqcOk6zc1w991w/PGwbBk89FBI4kreIiKdpgpcukZdHYwZA4sXw4gRYUOW3r1jRyUikhqqwCW3mprC/e2SEli7NiwLmztXyVtEJMdUgUvurF4dDh9ZtgzOPx/uvx8OOSR2VCIiqaQKXDqvqQkmTgwzyjdtgqefDuu8lbxFRLqMKnDpnFWrQtVdUwMXXwz33aed1ERE8kAVuOyZpia44w446STYvBmefRZmz1byFhHJE1Xgsvtqa+GKK1R1i4hEpApcstfUBD/7mapuEZECoApcsrNmTai6ly2DCy+E6dOVuEVEIlIFLrvW3BzWdQ8cGLZEnT07VN5K3iIiUakCl47V1YUZ5m+8EdZ1T58OX/lK7KhERARV4NKe5mb4+c/Dbmrr18OsWWFdt5K3iEjBUAUuf++dd8K97sWLYdSosIe5NmQRESk4qsAlaGkJJ4edcEKYsPbEEzBnjpK3iEiBUgUusGEDXHUVLFoEI0eGYz8POyx2VCIisguqwItZS0vYhOXEE+Htt2HmTKiuVvIWEUkAVeDFauPGUHW//joMHw4PP6wjP0VEEkQVeLHZWXUffzysWAFVVTB/vpK3iEjCqAIvJu++C2PGfFF1V1bC4YfHjkpERPZA1ArczIab2Toz22BmP4oZS6q1tMC0aWGGeeuqW8lbRCSxolXgZtYNuB8YBtQDy8ys2t3XxIopld55J1TdixbBueeGGeYaLhcRSbyYFfggYIO7b3T3z4GngVER40mX5maYOvXvZ5jPm6fkLSKSEjHvgfcCft/q63pgcKRY0mXNmjDD/M034bzz4IEHoFev2FGJiEgOxazArZ2/83+4yKzCzJab2fItW7bkIawEa2yEiROhtDRszjJrFjz/vJK3SAHpWdKTniU9Y4chKRCzAq8HWs+i6g180PYid68EKgHKysr+IcFLRk1NuNf91ltw0UVhqdjBB8eOSkTaOOruo2KHICkRswJfBhxlZl81sx7AaKA6YjzJtH07jBsHgwfDn/4Ezz0Hzzyj5C0iknLRKnB3bzKz7wILgG7ADHdfHSueRHrtNaioCDPNr74apkyB/fePHZWIiORB1I1c3H0+MD9mDIn08cfwwx+G9dxHHgm//jWceWbsqEREJI+0lWqSuMPs2dCvX1gWNm4crFql5C0iUoS0lWpSvPcejB0bdlArK4Nf/QpKSmJHJSIikagCL3SNjXDnndC/f9jDfOpUWLJEyVtEpMipAi9kS5bANdeEYfJvfQvuvVf7l4uICKAKvDBt3RpmlZ9ySpiwNmdOeCh5i4hIhhJ4IWlpCUd8HnMMPPZYmGm+dm2ovkVERFrREHqhWLoUbrgh/Hn66TB9OgwYEDsqEREpUKrAY2toCMPlgwfD5s3w+ONhgxYlbxER2QUl8FgaG8OktKOPDsPlP/gBrFsHl10G1t45LyIiIl/QEHoML7wAN98MdXUwbBjcc0/YnEVERCRLqsDzqa4Ozj03PJqaoLoaFixQ8hYRkd2mBJ4PDQ1w/fVw3HHw29/CXXfB6tVw3nkaLhcRkT2iIfSutG0b/OIXMGlSOPbz2mth/Hgd9SkiIp2mBN4VGhvh0UdhwgT44IOwjnvSpLC+W0REJAc0hJ5LLS3htLABA8IWqEccAQsXhl3UlLxFRCSHlMBzwR3mzg2nhI0eDXvvHSao/eY3cNppsaMTEZEUUgLvDPdwvOegQVBeDp98EtZ0r1ypCWoiItKllMD3hDvMmwdDhsCIEeHwkaqqsEzs8suhW7fYEYqISMopge+O5mZ45hkoLQ0V9h//CA89FHZQu+oq6N49doQiIlIkNAs9Gzt2wJNPhvXb69aF7U8ffRQuuURJW0REolAC35WPPoIHHoBp08JmLKWlYZb5BRdomFxERKJSAm/PqlVw332h6t62LWx9+v3vw9ChmpgmIiIFQQl8p517k0+bFo7z3GefMET+ve/paE8RESk4SuCbNsEjj4R72h9+CH37wuTJMGYMHHBA7OhERETaVbwJ/KWXYMqU8Odee8E3vwkVFWFZmO5vi4hIgYuyjMzMLjKz1WbWYmZlMWKgtjbMKJ8wAd5/P6zrLi9X8hYRkUSIVYHXAucDD0X6+eF4zxtvVMIWEZFEipLA3X0tgMWc0b333vF+toiISCdpJzYREZEE6rIK3MxeBg5p56X/dPfnd+P7VAAVAH369MlRdCIiIsnWZQnc3c/O0fepBCoBysrKPBffU0REJOkStYyspqZmq5m9n8NveSCwNYffr1CpnemidqaL2pkuuW5n345eMPf8F7Vm9i/ANOAg4C/ASnc/J0Icy909zjK2PFI700XtTBe1M13y2c5Ys9DnAHNi/GwREZE00Cx0ERGRBCr2BF4ZO4A8UTvTRe1MF7UzXfLWzij3wEVERKRzir0CFxERSaSiSOBmNtzM1pnZBjP7UTuvX2FmW8xsZeZxdYw4O8PMZphZg5nVdvC6mdm9md/B22Y2MN8x5kIW7fyGmX3Sqi/H5zvGXDCzw83sVTNbmzn459/buSbxfZplOxPfp2a2j5ktNbO3Mu2c0M41e5vZ7Ex/vmlmR+Q/0s7Jsp2Jf7/dycy6mdkKM5vXzmtd35/unuoH0A14FzgS6AG8BfRvc80VwH2xY+1kO08HBgK1Hbx+LvACYMDJwJuxY+6idn4DmBc7zhy081BgYOb5PwPr2/l/m/g+zbKdie/TTB/1zDzvDrwJnNzmmuuBBzPPRwOzY8fdRe1M/Pttq7bcDMxq7/9nPvqzGCrwQcAGd9/o7p8DTwOjIseUc+6+EPjzLi4ZBTzuwRvA/mZ2aH6iy50s2pkK7v6hu/8u8/x/gbVArzaXJb5Ps2xn4mX66NPMl90zj7YTkEYBj2We/xI4y6Ke+LT7smxnKphZb2AE8EgHl3R5fxZDAu8F/L7V1/W0/wZxQWYY8pdmdnh+QsurbH8PaTAkM4T3gpkNiB1MZ2WG3koJ1UxrqerTXbQTUtCnmeHWlUAD8JK7d9if7t4EfAIckN8oOy+LdkI63m/vBm4BWjp4vcv7sxgSeHufeNp+IpwLHOHuJwAv88WnpjTJ5veQBr8D+rr7iYTd/v4ncjydYmY9gf8GbnL3v7Z9uZ1/ksg+/ZJ2pqJP3b3Z3UuA3sAgMzuuzSWp6M8s2pn491szGwk0uHvNri5r5+9y2p/FkMDrgdaf8HoDH7S+wN0/cvfPMl8+DJyUp9jy6Ut/D2ng7n/dOYTn7vOB7mZ2YOSw9oiZdScktf9y9+fauSQVffpl7UxTnwK4+1+A14DhbV76//40s38C9iPBt4s6amdK3m+/DpSb2XuE27JnmtmTba7p8v4shgS+DDjKzL5qZj0IkwmqW1/Q5r5hOeE+XNpUA5dnZi6fDHzi7h/GDirXzOyQnfeZzGwQ4f/4R3Gj2n2ZNlQBa919ageXJb5Ps2lnGvrUzA4ys/0zz/cFzgbq2lxWDfxb5vmFwCuemQGVFNm0Mw3vt+5+q7v3dvcjCDnlFXe/tM1lXd6fiTqNbE+4e5OZfRdYQJiRPsPdV5vZ7cByd68GbjSzcqCJ8AnpimgB7yEze4owW/dAM6sHbiNMIMHdHwTmE2YtbwC2AVfGibRzsmjnhcB1ZtYEbAdGJ+1NMOPrwGXAqsz9RID/APpAqvo0m3amoU8PBR4zs26EDyDPuPu8Nu9DVcATZraB8D40Ol64eyybdib+/bYj+e5P7cQmIiKSQMUwhC4iIpI6SuAiIiIJpAQuIiKSQErgIiIiCaQELiIikkBK4CIiIgmkBC4iIpJASuAiIiIJ9H/zndDVMi3bAQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Sample the Gaussian Process!\n", + " alpha_full = np.random.multivariate_normal(mean.ravel(), Cov, 1).T\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kkrpEROO7yro" + }, + "source": [ + "BO-LCB using built in function\n", + "We're looking for the Minimum Now!" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "id": "3Ps5D_XO71Ba" + }, + "outputs": [], + "source": [ + "from GPyOpt.acquisitions import AcquisitionEI, AcquisitionLCB, AcquisitionMPI" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 89708, + "status": "ok", + "timestamp": 1594652301998, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "u-cukiKr7169", + "outputId": "b2638e7a-451e-4154-d1aa-53c7b53316cd" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3714570765.5879116\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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1QS2rC2qJiwhmcGoMx/SOJi7i6C4pkhy4EN3E+vXrufjii6mvr2f79u2EhYWhtSZ/VwEffvENG/N203fUuViCg6lqdLKltJ5t5Q1UNpgW1ikxoeQkRdEv0RSBK6WIDgsiJymSvolRZMSHSy67m6iurmb58uUsW7aMH3/8kYqKCpYuXQrA1Vdfzccff0xJSQmXXnopjz76KOnp6dTaXBRUNVFY3cTWwgp2bNtMSf426irLGXvp9QD8545r2bzC7CckNJzkzBxyhoxk8g13AtBYV0NEdOwRFYXbXR7TtbDWTlGtjZJae8uY9FGhQaTFhZEWa3onJESFdOq48Olx4eSmxTAwJbrbdJnraFKELkQ3t3DhQqZMmUJ0dDTz5s1jzJgx7K6xsaGojq1l9ThcXqobnWwpq2draQOVjSZop8WF0T8pin7JUS25n+SYUPolRUkXnQB1++23s27dOv785z9z5pln7ne7ygZHSy+CwmobdpcHe2MDJbu2UZK31Sz524iIjuXKux4D4JHfnkdNeTEpmf1NMXzWALKPHUH2McMPO71er6a8wUFxrZ2iGjN2QHNdeojVQm9fQE+PCyclpnMax4UEWeifHMWQ9NgeV8QuAVyIbmznzp2MGDGCnJwc5r/9HlVEsn53LdVNLurtLraUNrC5tJ7yelM8nhYbxsCUaPonRxEZGoRFKdLjw+mfbIK2TDRx9NFaU17vYFdVEwXVTeyutrU5uMwPH7/J7u2bKMnbQkn+NhpqKhk5djJTb30ErTXP3nkd8clppGb76tiz+hMdn3hIOfbmrmxFtTaKakxQb37gtCpFckyor5ui6aoYGtSxXdgSokIYkh5Lbu8Yv/d57wgSwIXoxm688UbmvPQy/3r9Y5pCErC53GwtbWBTST27a8wEEikxoQxMiWZgcjRRYUEEWRSZCRH0Tzb1lT3hRiU6jserKa61UVBlo6C6iZJae5tDwDbUVOF2OYlLSsXe1MBz9/yOkrytNNXXtGwz/vKZTLjy9zhsTfy46J2WnHtUXK92p8fu8pgudLV2dlfbKKu305ycpChfQI834w901ChtQRbFgJRohmXE0js2cHPlEsCF8IOKigpWr17Nzp07ue666362vtHhZt3uWtYUVLN50yYcMWlsKq5nR0UjHq82jXVSohmYGk18hJmhKishggHJ0fRNjOyxdX6i47k8Xopq9gT0Mt+APm3RWlNfXUFJvimKzxo8jKxjhpG/aQ1P3DilZbuo2F6kZg/gnCt+T7+hJ+K023A5HUTGxLUrPSW19pZhfItb1aPHRwSTHm+K3PvERbT0mjgSyTGhDOsTx6DU6C5rOd9RJIAL0YWcTicTJ05k0aJFgJlhq76+nsjISG6++WaGjTqD5GNPZdHiryG2N/lNVjYV12NzeQgLtjAoJZrBvWNaRsjKTohkYEoU2YmRAXfzEd1Tc464oNp0WSuvdxx06FetNbWVZZT66taLfcXwF1x/G32PPYE1Sxcx528ziemVRGrWAFKzzXLcaWOJjIk/4L49Xk1Zvd3XJ94UvTs9ZuS62PBg0uNMQE+PDz+iGdnCgq0MSY9hWEZcwFQ1SQAXogvdeuutPProo9x5552MGTOGYcOGEdcrkR+3FPCbieMpKtrNgPOm0xDbl+DkHCwK+iZGckzvGLITIgkLtpCdGMnAFJPTlqAtOlvzGPmF1SaAltfvP4e+P+W781j7zWeU5m+jJH8rpfnbcTps3PHiJySlZ7P8s3dZ8cUH9PbVradkDSA1qx+h4ZE/25dXayrqHSag+4J685zqUaFB9InfE9DjDmOAGYtS5CRFMiIzjj7xEYf03a4mAVyILuJyuRg3bhy5ubnMnj2bWpuL1QU1rN1dw47yRtYW1rC1tA6trLjK8xh1bA4nDMoiOiyYrIQIBqZE0y8pSorHhV853B6Kauy+keKaKK1zHPI0ql6vl+rS3cQnp2GxWln2yVsseXcupbu243aZRm3KYuHhd38iJCycjcu+oqG22gT3zH6EhO2pt24eCrh55LrCalvLNKuRIdY9Re7xEcRHHFpAT4kJ44SseAYkR3XL0d66ZQBXSmUALwOpgBd4Vmv9xIG+IwFcBAK3282uygbWlzSxbnct64pqWbe7jlqbixCrhUGp0WSFu4i22Dl+6BAGp8YwIEUaoonuy+3xtkwtaxqj2Q57chavx0NF8S5K8rZRU17E6AuvAuD5v9zA+u++AEy1U6/UPuQMGcmlf/47ANVlxUTHJRAUEoLWmuomMxRtYY1pdd/oNAE9IsTakjvv45vatj0BPTosiBGZ8QxJj+nwlvFHorsG8N5Ab631T0qpaGAFMFlrvWF/35EALrorj8fDvffeyy8vuYa8piCW51Wzbnct28sb8GrT9WtIeiz9k6NIjw9ncGo0A1OiiQ6QejghWmvOEZf4AnpJnZ2qI5xC1eN2UVG0q6X/ekn+VoJDwph6q5m29V83TKZ45xYS0zJJyR5AalZ/co49gUEjT0drTU2rseULq20tfdHDg/cE9PS4cBKjDhzQQ4MtDOsTx/CMOL9PkwvdNIDvSyn1HjBLa71of9tIABfdkcPt4ZY7/sJ/Zj3JGb9/jJrIDGpsLkKDLBzTO4YhaTH0TYrimNRoBqVGkxAV6u8kC9HhmidHKam1U1Jnp7TOTqPD02H7X7N0Ebu3b6AkfxuleVspL8pn2BkTWgapmfWHy4julUhq1gBSMvsT3ac/TaEJFNc5KKzeM/tbWJCFtDgzA196fDiJUaFtjhYXZFHkpsUwMqsXsRH+e9Du9gFcKZUNfA0M0VrX7W87CeCiO2lwuPkpv4r/fbWaN97/mMhjRoMliN6xYRyXHsuQ9BiO6R3LMb2jSY8L79KZnIToDurtLsrqHZTW2X3Tme6Z8exIuZwOHE2NRMX1wu108tKDN1GSt5WqkkKa49qYX13DpOm34XI6+PTt1wjqPQhnZDIVDit1voAeEmRpaeXeJz6cpKjQverCLUoxKDWKE7N7+eXhu1sHcKVUFPAV8KDW+u021k8HpgNkZmaekJ+f38UpFGJvlQ0Ovt1eyQeri1hVUENZvQOv00Zu71hG9u/NyOx4ctNiyEmMlLHHhdhHk9NNeb2D8noHFQ0OKhqcVDc6W/qBHymn3Ubpru2U5G8jJTOHzEFDKcnbyj+mT2zZJigklJSBIxhx8Qx0rywKqhqptZvSgubhX5sDenJ0GFaLQinolxTFqL69SI7puiGKu20AV0oFAwuAT7TW/z7Y9pIDF/5UVGPjk/UlLFhTzPrdtdjdXqKDvOQtfIYxIwZx3713Mzg1plvUmwkRSLxeU4dd1eigssFJdZOTqkYX1U1OnO7Dayy3L4etkZL87ZTm7+nHPvaS39Fv6Ils+OFLXnzkDiL7jiBu8CkE9R6EJ9z0XQ+yKHrHhrXUo6fGhDEwNZpRfRNIjTWB/KmnnmLKlCkkJycDUFZWxvz585kxY8YRp7tbBnBlyhNfAqq01je35zsSwIU/7Cxv4NVlu/h8Yxk7KxpbnsRPzI7nhGTF5/97jkcevJ+YmBh/J1WIHqfR4abG5qK60UmdzUWtzUWd3bx2VB17TXkJm5YvoThvC6V5pgFdg93Jb+5/haaQeLYWFNNAKEpZUNpLXJCbPglRnDo4Hceaj/nrHX8kNzeXxYsXA3DWWWexYcMGZs2adcRBvLsG8NOBJcBaTDcygDu11gv39x0J4KKraK1ZU1jLc0t3sHRrBdVNLsKDrRyXHst5Q1M5tV8iOUlRWLthv1EhjhZuj5cGh5t6u5sGx56lyeGh0emmyeHG5vLicHsOuYV8Y10N4ZHRWKxWVn/9MUs+eotqVxC6VxZhGUMISe2PsljxNtZQPu8O7BUFRMbEEhYSTGVFRUtAb86VH65uGcAPhwRw0dk8Xs3iTWU8t3QHP+2qwen2khwdyqn9Evj1iRkM7RNHVGgQHo+H6dOnc/3113PSSSf5O9lCiAPwejV2tweb04PD7fUtHpxuLy6PF6db4/aa926Pxqs1Hi94tEZr87PWoDXUVldSuGMLuwt3kXPKL9lR0cjnXy5h5+v34bWZNthJSUmsW7fuiIM3HDiAS2WdEIDT7WHejwW88n0+W0obsCgYmBLNpOFpTBqW9rPhFl999VVeeOEFxo0bJwFciG7OYlFEhAR10ExnfYBhe31SOj6DY997kEpbB+z+EEgOXBzV6mxOnv5qB2+tKKSs3kF4sJWTc3px1anZnNIvoc0RmRobG8nNzSUpKYlly5ZhsUhLcyGOVmVlZS113klJSQCUl5d3SRG65MDFUWlXVSOPLdrKJ+tLaHJ6SIoO5erTsrn29L4HndzgzjvvZNeuXbzyyisSvIU4ys2fP58NGza02Yito1qi748EcHFUWZ5XxWOfbeG77ZV4NRybFsOVp2Rx0Yh0gtsx/vH333/Pk08+yY033sgZZ5zRBSkWQnRnzQG6dTeyxYsXd3rwBilCF0cBj1fzweoinv5yO5tL6wm2Ks4alMzMs/sztE/cIe3L5XIxa9Yspk+fTmTkz6dBFEKIjiRF6OKo1OBw89K3ecz5Jo/yBgfxEcFcPzqHG87sR1xkyCHvz+FwEBoayi233NIJqRVCiENz1AbwrTdvBWDA4wP8nBLR0Qqqmnjmq+289VMhdpeXQSnR3HbuICYPTz/soU2XLFnC1KlTWbBgAcOGDTv4F4QQopMdtQG8YVWDv5MgOpDWmuX51Ty9eBuLt5SjgDGDkvn9Wf0ZkRV/RPvevXs311xzDcHBwfTr169jEiyEEEfoqA3gInAcaJxhp9vLwrXFPPPVdjaV1BMZauWa0/py3Rl96R0bfsTHXrBgAdOmTcNms/HRRx8RFRV1xPsUQoiOIAFcdGtPPfUUM2fOZPbs2T/rovHVlnJ2JJ1GRYOTjPhw7r/gWC4+oU8HDdYACxcu5Pzzz2fYsGHMmzePwYMHd8h+hRCiI0gAF93alClTmD17Nhs2bGDIkCF4vJqqygpCEjP5zjuAM1KieXRKDmcOSNprDt9D8cknn3DXXXcBEBkZyYABA3juuecYP348jz32GL/73e8IC+u66QOFEKI9JICLbi05OZk777qLG/7fTMrLywGwRsTy20fmcON5IxmYEn1E+//oo4+YPHkyWVlZDBgwgMbGRhobGwEICgri5pvbNVGeEEJ0OQngotuqaXRw1V+e4odSL42uPXMCx0eEcO/EY0lOjiYvL4/58+cTHx/P1VdfjdV68MFYWsvNzWXSpEk8++yzxMcfWWM3IYToShLARbeTV9HI80u288q323E7Uqj56Da8TbUEBQURHx9PeXk5w4YNIz09nRUrVrR8b+DAgYwePbpdx1iyZAmnnXYaWVlZzJ8/v7NORQghOo0M5Cy6Ba9Xs3hzGZc/9wNn/fNLXv+xkHRdwZCihTgqd5Obm8uuXbtYt24dgwYNoqSkhOLiYh5++GF27NjBN9980xK8Fy1ahM22/2mB/vvf/zJ69Ghmz57dVacnhBAdzq85cKXUC8BEoExrPcSfaRH+UWtz8caPu3jxmzyKau3EhFqYOiyem847nuSYMOC3PPXUqXt1I/v666/5z3/+wz333NOyn759+wKmz/Z5551H//79eeeddxg0aNBex5szZw7XX3895557Ltddd12XnacQQnQ0v46FrpQaDTQAL7cngHfkWOgrx6wEYMSXIzpkf+LQbCyu49mvd/Dh2mKcbi/HpsXwm2EJ3HftZMJCgli7du0h12c3W7RoEVOnTsXpdPLqq68yceJEwMzhfcUVVzB27Fjef/99aVkuhOj2uu1Y6Frrr5VS2f5Mg+g6DreHBauLeOGbPNYX1RFsVZw7pDfTR+eQGa0YM2YMpcW7+eKLLw47eAOMGzeOFStWMHnyZCZNmsT999/P9OnTuf766xkzZgzvvvuuBG8hRMCTRmyi0xVUNfGfr7fz3soi6h1ukqND+dP4gVx+chZxESE4HA7OPfdc1q5dywcffMCoUaOO+JiZmZksXbqU6dOno7UmKSmJRYsWMXToUCIiDjzftxBCBIJuH8CVUtOB6WBuyiIwuD1eFqwp5qVv81hZUIMCRuX0YvroHMYMTN5r0JWHH36YxYsXM3fuXCZMmNBhaYiIiAJKiZkAACAASURBVGDu3LktP59yyikdtm8hhPC3bh/AtdbPAs+CqQP3c3LEQeRVNPDfJTtZsKaYWpuL2PBgpp2axfTR/UiLa3ts8ltvvZXhw4czefLkDk+PUoc3OpsQQnR33T6Ai+7P4fbw5vJCXlu2i/VFdQAMz4jj6tOyOe+43m1O4VlXV8edd97JQw89RExMTKcEbyGE6Mn83Y3sdWAMkKiUKgT+orV+3p9pEu23PK+KF7/JY/HmMpqcHuIigrni5Cymj84ho9f+65nLysqYMGECa9euZdKkSYwfP74LUy2EED3DfgO4Umqu1voKpdRNWusnOuPgWutLO2O/ovOU1tl58ZudLFhdTGGNDYuC47PimXZqNucO6Y31IBOKFBUVMWbMGAoLC3n//fcleAshxGE6UA78BKVUFnCNUuplYK87s9a6qlNTJroNm9PN/BWFvLWikLW7a/FqSI8L54YxOVxzWl+SotvXJaupqYkLLriAoqIiPvvsM0499dROTrkQQvRcBwrgzwAfAznACvYO4Nr3ueihPB4vn24o5Y3lBXy3oxK7y0tUaBAThqQy7ZS+nJTT65D3WVJSQnV1Na+99poEbyGEOEL7DeBa6yeBJ5VST2utb+jCNAk/0VrzzfYK5i0rYMnWCmptLoIsiuEZcVxyYgYXDE8jOOjwB1jJyclh/fr1hIaGdmCqhRDi6HTQRmwSvHs2rTXf76jkjeWFfL2lnMpGJ0rBMakxXH9mDlNPyiQuIuSIjjFv3jwWL17MrFmzJHgLIUQHkW5kRyGtNUu2VvDWT4V8s62CigYnCuiXFMWvR2Zw2cmZ9Ik/8tHKnE4nzz//PH/4wx848cQT8Xq9B/+SEEKIdpEAfpRwuT18sqGUBauL+X5nJTVNLhSQkxTJRcf34bJRmWQlRHbIsTweD6+++ir33XcfO3fu5IwzzuCtt96S3LcQQnQgCeA9WFWjg3dXFvHphhJWFdRgd3mxKsWg1GiuPCWL34zMIP0Ic9qFhYUsXLiQqqoqgoKC+NOf/oTL5eLuu+8mMTGRhQsXMmHCBBkRTQghOpgE8B5Ea82K/GreX13EN9sq2FnRiFdDWLCFERlxjMtNYfKIPvSKPLI6bQCv18vTTz/N7bffTkNDA2DGqv/Tn/5EWFgYS5YsISMjA4vl56OwCSGEOHISwANcUXUTH6wp5qst5awprKXB4QYgLTaM84elce6QVH4xOPmIWo+3Zc6cOcycOZNx48bx2GOPkZOTQ3j4nrHOs7KyOvR4Qggh9iYBPMCU1dlZtKGUr7aUs6qghrJ6BwARIVaOS4/l9AGJTBqW1mH12a1prSkpKaF3795cfvnlxMTEcPHFF0vxuBBC+IEE8G7M69XsKG9g8eZyvttRwdrddZT7AnZokIVBqdFMGp7GhGNTOT4zfq8pOtuiteaZZ55hw4YNXHjhhZx99tnY7XYeeughLr/8cgYOHLjf7zqdTm644QY++ugjVq1aRXJyMr/61a869HyFEEK0nwTwbqSszs7KXdV8u6OKVbuq2VLagM3lAUwOe3BqNBcOT2NsbgrHZ8a3OcvXgfztb3/jvvvuIzY2ltzcXM4++2x++OEHHnzwQe6//35OO+00rr76ai688EJ69doz0lpFRQUXX3wxX3/9Nffccw+JiYkdet5CCCEOndI6cKbYHjlypF6+fHmH7GvlmJUAfDvlW6ZMmUJycjJgZsqaP38+M2bM6JDjtMXl8bKzopHNJXX8tKuGNYW1bC2tp85u6q8tCvrER3BsWgwnZvdi9IBE+iVHHVFR9euvv87UqVO56qqrePHFF/faV3FxMXPnzuXFF19k06ZNAGzfvp2cnByWLFnClVdeSXFxMS+88AJTp049spMXQgjRbkqpFVrrkW2uO9oCeHx8PI8//jhDXxxK0e4iJm6biMViobi4GICzzjqLDRs2MGvWrCMO4rU2F3kVjeyoaGBbaQObS+vZWtZAYbUNj9f83i0KMnpFMDg1mmEZcYzMiue49DjCQzqu0dnu3bvp378/J554IosWLdpvf2ytNcuWLePrr7/mj3/8IxaLhWuvvZYPP/yQd999l5NPPrnD0iSEEOLgJID7xMfHU1NTA8BHgz7C7XFz/rbzAVBKkZiYSHl5Obm5uSxevLglVw5QWlrKjz/+SG5uLjk5OTjcHiobnJTU2dlSUMbXP65hQ14x8RkDaFARFNXaaHR4Wr6vFKTEhNE3IZLctBiGpMUwKDWGfsmRhHZwC/G2vPnmm4wZM+aQi79LS0uJiooiMrLjG8UJIYQ4sAMF8KOqDvzxxx9n2rRpAGzavGmvdVprysvLiYqJ46Z/z+WDLY1sWPAZazdvJ293KTU2F5awaHqlNWKN3Eq9r7h7jwi0tQ8Om4Wc1FBO7NuL7IQIshMiyUmKJLNXJCFBXdMn2uPxsGbNGr766iuGDx/OmDFjDrvBWUpKSgenTgghREfwawBXSk0AngCswHNa67935vGuuuoqgJYg3iI4HFw2AJrcmvsXbMQaGQeA15VAcFIM6eHBJMdGkhoXQXZqAlZ3E//36ENkJERz5knDuGDcmZwx6nisVitaax577DEuHn0VCQkJnXlKe1m7di333nsvX375ZUtJw7HHHsuSJUuIj4/vsnQIIYTofH4L4EopK/AUMA4oBH5USr2vtd7Q5Ylx2YiOiQMF9bU1RHz2IB9+tIjysiKOyz2GqKioNr9278Xvtvn5xo0bueOOO3jiiSe48cYb6dWrF/Hx8fziF78gOjqavLw8tm7ditPpZPDgwfTr169DTuPRRx9l6dKl/OpXv2LMmDGMHj2ajIyMDtm3EEKIbkZr7ZcFOAX4pNXPdwB3HOg7J5xwgj4Sc+bM0YAG9GM8ph/jsZafn3zySV1aWqpzc3M1oGfNmnVEx1q2bJnu27dvy/4BvW3bNq211g8//HDLZ8HBwfqBBx7Q7pdf1jorS2ulzOsrr+jvv/9e//Of/9Rvvvlmy343b96st2zZoouKinR9fb3+4Ycf9IYNG7TWWldUVOjy8vIjSrcQQojuA1iu9xMT/daITSn1K2CC1vo6389XAKO01jP32W46MB0gMzPzhPz8/MM+5r6N2ADO3XwuAHFxcVRXV3doNzKv10t9fT3V1dVUVVUxZMgQQkJCKCgoYNeuXVgsFh5//HGsb7zBCxYLYa2m27RbLFzj9fI6cPrpp7NkyRIAcnNz2bhx417HmTx5Mu+8884Rp1cIIUT30i1boSulpgDn7BPAT9Ja/35/3+nobmQAa65ew80330x1dfUR7fdINCYlEVlR8bPP6+LjcWzejMViaalL/+STT6ioqKC+vp6GhgasVivXXHMNsbGxXZ1sIYQQnay7BvBTgPu01uf4fr4DQGv98P6+0xkDuYz4ckSH7O+IWCzQ1nVQClrlyoUQQhxdDhTA/TnX44/AAKVUX6VUCHAJ8L4f0+M/mZmH9rkQQoijnt8CuNbaDcwEPgE2Am9ordf7Kz1+9eCDEBGx92cREeZzIYQQog1+7QeutV4ILPRnGrqFyy4zr3fdBbt2mZz3gw/u+VwIIYTYx1E1Elu3dtllErCFEEK0mz/rwIUQQghxmCSACyGEEAFIArgQQggRgCSACyGEEAFIArgQQggRgCSACyGEEAFIArgQQggRgCSACyGEEAFIArgQQggRgCSACyGEEAFIArgQQggRgCSACyGEEAFIArgQQggRgCSACyGEEAHILwFcKTVFKbVeKeVVSo30RxqEEEKIQOavHPg64CLgaz8dXwghhAhoQf44qNZ6I4BSyh+HF0IIIQKe1IELIYQQAajTcuBKqc+A1DZW3aW1fu8Q9jMdmA6QmZnZQakTQgghAlunBXCt9dgO2s+zwLMAI0eO1B2xTyGEECLQSRG6EEIIEYD81Y3sQqVUIXAK8KFS6hN/pEMIIYQIVP5qhf4O8I4/ji2EEEL0BFKELoQQQgQgCeBCCCFEAJIALoQQQgQgCeBCCCFEAJIALoQQQgQgCeBCCCFEAJIALoQQQgQgv/QD7w6ihkf5OwlCCCHEYTtqA/iAxwf4OwlCCCHEYZMidCGEECIASQAXQgghApAEcCGEECIASQAXQgghApDSWvs7De2mlCoH8jtwl4lARQfur7uS8+xZ5Dx7FjnPnqWjzzNLa53U1oqACuAdTSm1XGs90t/p6Gxynj2LnGfPIufZs3TleUoRuhBCCBGAJIALIYQQAehoD+DP+jsBXUTOs2eR8+xZ5Dx7li47z6O6DlwIIYQIVEd7DlwIIYQISEdFAFdKTVBKbVZKbVNK3d7G+mlKqXKl1Crfcp0/0nkklFIvKKXKlFLr9rNeKaWe9P0O1iilju/qNHaEdpznGKVUbatreW9Xp7EjKKUylFKLlVIblVLrlVI3tbFNwF/Tdp5nwF9TpVSYUmqZUmq17zz/2sY2oUqp//mu5w9KqeyuT+mRaed5Bvz9tplSyqqUWqmUWtDGus6/nlrrHr0AVmA7kAOEAKuB3H22mQbM8ndaj/A8RwPHA+v2s/6XwEeAAk4GfvB3mjvpPMcAC/ydzg44z97A8b730UAx8M3BrinwDHDPAfZ7J/BcJ6X5AUz/15IjOM8tbfx/HvCaHuycu8Piu0ZRvvfBvmt18j7b/D/gGd/7S4D/+TvdnXSeAX+/bXUufwBea+vvsyuu59GQAz8J2Ka13qG1dgLzgAv8nKYOp7X+Gqg6wCYXAC9r43sgTinVu2tS13HacZ5+p5T6UilVrZQKPdx9aK2LtdY/+d7XA8uA+/bZ7GfXFPir1vp+XzrGKKUK99nvQ1rrDs/xKKUygD9igm9qe7/XxnluBNIPcJxpSqml++zjd83n3F35rlGD78dg37JvA6QLgJd8798EfqGUUl2UxA7RzvPsEZRSfYDzgOf2s0mnX8+jIYCnAwWtfi6k7RvExb5iyDd9N6Oepr2/h57gFF8R3kdKqWO78sC+YrIzMDetSR24zxGY3Exr3emaZgGVWuuyw93BAc4TfNcUk+OJONxj+JOvuHUVUAYs0lrv93pqrd1ALZDQtak8cu04T+gZ99vHgVsB737Wd/r1PBoCeFtPPPs+EX4AZGuthwKfseepqSdpz++hJ/gJM/TgMOD/gHe7+PhXAt8Dc4CrWq9QSiUopd5XStX56gnvb85NKqWylVJaKRXUavsvlVIzgLeA94CFvs+VUuoxYBzwse9GOMT3tb8opR5QSkViitfTlFINviVNKXWfUuqVVseY5KurrPEd75hW6/KUUn/y7b/WV58Xtu8JK6XGAotaHWtOW7l/3/7G+t7fp5R6Qyn1slKqXim10Zfem7XWdb668beVGT75bUwO5hJgMDDCd5wa377mKKUeaHWc3/rqHat8v++0Vuu0Uup3SqmtvlKSp7oql6u19mithwN9gJNaXbOW5LX1tc5PWcdqx3kG/P1WKTURKNNarzjQZm181qHX82gI4IVA6ye8PkBR6w201pVaa4fvx/8CJ3RR2rrSQX8PPYHWuq65CE9rvRAIVkoldmESrgRe9S3nKKVSWq17CrBj6n2v8S0HooAbfPtqfaMYj2kL8BrwW+A3QCXmmjYBaK0bgXOBIq11lG/Z63orpQYCrwM3A0mYB4QPlFIhrTb7NTAB6AsMxdRf7kVr/dk+x/rZNvsxCVOllQiEAuFa67eVUlZgAWbeg2wgDZirtd4ITAccmAAQt+8OlVJnAw/70t3bt495+2w2ETgRGObb7px2prdDaK1rgC8xv9fWWv5HfQ9ysXTz6qID2d959pD77WnAJKVUHubv6+zWD8Y+nX49j4YA/iMwQCnV13djugR4v/UG+9QFT8LUw/U07wNX+nJvJwO1WutifyeqoymlUptzVEqpkzB/45VddOzTMUXJb/iezLcDU33rrMDFwL1a60at9ToOkPPwncMgoFhr/e99VrswDb7WYh4YNvmOWwvYDiHJvwE+1Fov0lq7gH8C4cCprbZ5UmtdpLWuwuSchh/C/g9mKSbX/V/f++aHnZMwQfvPvgeROOAb37q+vtf9XdPLgBe01j/5gsQdmOL37Fbb/F1rXaO13gUspmPPqU1KqSSlVJzvfTgwFnPdWnufPaU2vwK+0L4WUIGiPefZE+63Wus7tNZ9tNbZmJjyhdb68n026/TrGXTwTQKb1tqtlJoJfIJpkf6C1nq9UupvwHKt9fvAjUqpSYAb84Q0zW8JPkxKqdcxrXUTfUWXf8E0IEFr/Qwmd/VLYBsml3a1f1J6ZNpxnr8CblBKuTHB7JIuvAleBXyqtW6eieg132ePYXK4QexdZ32gmfVOwwQ0l68+sRdQr5T6nW/9LN++czGBu8D388xDSG9a6zRorb1KqQL2rkcvafW+yfedjlKCOc8rMDf5MN+5fuQ71nWYFuatr2kUsPkA1zQNU40CgNa6QSlViTmnvFbHbdbk22dn6w285HuQs2Ae8hbscx96HpirlNqGuQ9d0gXp6mjtOc+Av9/uT1dfzx4fwKGlKHXhPp/d2+r9HZgn9YCltb70IOs1MKOLktNp2nGeszDBrUv5chu/BqxKqeYAEYpp7T8MWIe5YWWwJ0eS2WoXjb7XCKBOa71UKbUZ+KfW+jml1DTgOt9DSrMnlVLJwBvAEq318n2qcw/24FIEHNfqHJQvfbvbc84H0Uirxma+G/rPpkTUWi/1HTob2AmMxBRvX4uvdW/ra6qUugpTbbA/RZjSiObjRmIaDnXEOR02rfUaTAO9fT9vfR+yA1O6Ml0drZ3nGfD329a01l9iqgq6/HoeDUXoQnSFyYAHkyMe7luOAZYAV2qtPZjGWPcppSKUUrm0auSmtS7HBJnLlWnFew3Qr60DKaVOVEqNUkoFYwKl3XfsfZUCCUqp2P2k+Q3gPKXUL3z7+iOmfvnbQzz3tmzB5KjP8+37bswDTXssw/R7/7tSKlKZwUFO860rBfrsU0/f2mvA1Uqp4cp043sIM+ZB3mGfiRDdlARwITrGVcCLWutdWuuS5gWTc7zM14hlJqa4tgTTSv3FffbxW+DPmPrdY9l/II3B1BtXY4rAKzH113vRWm/CNFLboUwr87R91m8GLse01q8AzgfO12a8hCOita7FDGTxHObBpBHTqKc93/X40tIf2OX73m98q78A1gMlSqmKNr77OXAPpuV+MeYhKBCLooU4KJnMRAg/aVUsfrq/0yKECDySAxdCCCECkARwIYQQIgBJEboQQggRgCQHLoQQQgQgvwVw1Y55Y4UQ/uXrsrbG9/8a6ftf3XdsayGEH/itCN03aESkb6SkYMxQijdpMy1imxITE3V2dnZXJVEIIYTwqxUrVlRorX82CBL4cSQ238hghzRvbHZ2NsuXL+/spAkhhBDdglJqv0Mu+7UOXLVv3lghhBBC7MOvAbwd88ailJqulFqulFpeXl7e9YkUQgghuqFu0Qr9APPjorV+Vms9Ums9MimpzWoAIYQQ4qjjtzpwpVQS4NJa17SaN/aRrjr+1pu3AjDg8QFddUghRHu43fDDD/DRR/DJJ1BdDeHhEBFhXmNiIDEREhLMkpICGRl7loiIgx9DiB7An9OJtjlvbFcdvGFVw8E3EkJ0jZoaE7Dff39P0LZY4JRTYNQosNnM0tQEBQWwciVUVIDd/vN9JSbCwIF7lkGDYOhQyMkx+xSih/BnK/Q2540VQhwlCgvhnXfgvffgq69Mzjs5GS64AM49F8aNg/j4A++jqQmKi01Qb1527oStW82DwJw5e7aNjITjjoPhw+HEE82DweDBYLV26mkK0Vn8mQMXQhxtdu6Et94yy/e+IR+OOQb++EcTuE866dACakQE9OtnlrbU18OmTbBmjVlWr4bXX4dnnjHro6Nh5Eg44wwYPRpOPtkEeiECgARwIUTnKiyE+fNh3jxYtsx8dvzx8OCDcPHFpoi7s0RHm9z2iSfu+czrNTn0H34w6fnuO3jgAfN5UJAJ6L/4BYwfbwJ6SEjnpU+IIxBQk5mMHDlSd9RALivHrARgxJdSii9Eh6uqMkH71VdhyRLz2fHHw29+A1OmQN++/k3fvurq4Ntv4euvYfFi+PFH8HhMbnzMGFOkf955ICNBii6mlFqhtR7Z1jrJgQshOobDAR9+CK+8Yl6dTlM8fv/9JnAP6MY9PmJiYMIEswDU1ppAvmgRfPqpOZ+ZM+HYY2HiRFPcP2qUNIoTfiUBXAhx+LQ2LcJffBFee83kvFNTTbC7/HLTYEwpf6fy0MXGwuTJZgHYssUE8QUL4F//gkcegd69zfqLLoIzz4TgYP+mWRx1JIALIQ5dVRXMnQsvvGAah4WGmmA2bRqMHWvqknuS5i5pt9xicucffghvvw0vvQRPP236o190kSlpOPPMnnf+oluS8h8hRPtoDV9+CZddBmlpcPPNpoHX7NmmK9e8eaYIuqcHr9hYmDoV3nwTystNV7jx400JxNixkJ5uSiC+/978zoToJD38P00IccSqq01O85lnYPNmE8Cuuw5++1sYNszfqfOviIg9Re1NTWYwmnnz4Pnn4amnTPe2yy4z1QnduQ2ACEiSAxdCtO2nn+Daa02O8pZbzKAqc+ZAURHMmiXBe18REaZb3Pz5UFpq2gVkZ5tGfAMHwmmnwX//a4rghegAEsCFEHu4XCYHeeqpcMIJ5v3ll5tg/t13cNVVMtZ4e8TEmPYAn31m+sH/4x9muNjp000jv6lTzTqv198pFQFMArgQwtTl3n8/ZGXBpZdCWRk89hjs3g3PPgsjZLyEw5aWBn/+M6xbZ/qXX3stfPyxGSq2Xz/zey8o8HcqRQCSAC7E0WzDBpMrzMyEe+81k358+KHpNnXzzRAX5+8U9hxKmVHeZs0y1RCvvWYC+L33mqL2iRPNuPBut79TKgKEBHAhjjZawxdfmNHFjj3WdAe78koTzD/+GH75SxmgpLOFhZmSjs8+gx074I47TDXF5MmmFOTuuyE/39+pFN2c/JcKcbRwu02ddvNY3z/9BH/7mym+/c9/zKhpouv17WvGYt+1y+TAR4yAhx82n0+cCB98YIZ1FWIfEsCF6OlsNtNXe+BAk+traDD12vn5cM89Zv5s4X9BQTBpkhntbedOkwv/6SfzWd++pq68uNjfqRTdiARwIXqq2lr4+9/NzX/GDEhJMYOObNxo+nCHhfk7hWJ/MjNN6Uh+vhnxbfBgU1eemQm//rUZp10GiTnqSQAXoqeprDQ3+6wsU7c6bJi54X/7raljlfrtwBEcDBdeaCZU2bIFbrrJ1JuffTbk5sL//Z/0Kz+KyX+yED1FWRncdtuewUN+8QtYvhw++cRMiRmIk4qIPQYMgH/+03TtmzPHjIh3442mm9r06bBqlb9TKLqYBHAhAl1pKfzpTyZw//OfcP75ps/xW2+ZwVhEzxIebgbU+f5784B26aVmCtcRI8wAPK+8Ana7v1MpuoAEcCECVXPg7tvXDLoyZYqp337tNdM9TPR8J5wAzz1ncuWPPQYVFXDFFZCRAbffbhrDiR5LArgQgaaiwhSVtw7cmzaZCUcGDvR36oQ/xMebgXc2bYJFi+CMM0xpTL9+pl//ggXSFa0HkgAuRKCoqTGN0/r2hUcfNRNnNAdumelKgGmgOHasabmel2e6Ca5aZapVcnLgwQehpMTfqRQdRAK4EN1dY+OegT3uv9+MoLZunRlBTQK32J8+feCvfzVd0d580/yt3H23KV7/9a/h889lMpUAJwFciO7K6TRzSvfvD3feaaajXLkS3njDdCESoj2Cg01pzWefmfncb7rJBO+xY2HQIDNTWlmZv1MpDoMEcCG6G68XXn3VDN4xc6ap11661NRjDh/u79SJQDZw4J6uaK+8Yrqg3Xabya3/+temv7nkygOGBHAhugutTZ/t4483c3DHxsJHH8GXX5rctxAdJSwMLrsMvvrKTGIzY4aZ4Oacc0xd+f33m3nMRbcmAVyI7uCnn8z80BMmmJG1Xn0VVqwwP8sALKIzHXPMnrnf580zdeXNI/lNmAD/+5/0K++mJIAL4U/5+Sa3fcIJprXw44+bluVTp8qQp6JrhYbCb35juqFt3w533WXGFbjkElPUPmMGLFsmY7B3I3KHEMIfampM3eOgQWbEtDvuMDfNm24yN1Ih/Cknx0ymsnOnCejnngsvvACjRpm2GQ8+KPOVdwN+C+BKqQyl1GKl1Eal1Hql1E3+SosQXcbl2tOy/NFHTe5myxZ46CFT5y1Ed9Lcr/zVV03/8eefh969TXe07GwzYMzTT5vBhUSX82cO3A38UWt9DHAyMEMpJX1jRM+kNXz4IQwdalqWDx1q6rjnzDH9coXo7mJj4ZprTKPKnTtNLryqCv7f/zNB/Ze/NH/P1dX+TulRw28BXGtdrLX+yfe+HtgIpPsrPUJ0mnXrTOveiRPNcJbvvWf64Y4Y4e+UCXF4srPN2ATr1sHq1WZM/g0b4Oqrzbzz551ngnlVlb9T2qN1izpwpVQ2MAL4wb8pEaIDVVSYhj/DhsGPP5oGauvWwaRJ0rJc9AxKmdKkhx82ufIffjDtONavN8E8OdlMaztrFhQU+Du1PY7fA7hSKgp4C7hZa13XxvrpSqnlSqnl5eXlXZ9AIQ6VywVPPmm64/znP3DDDbBtm7mxhYT4O3VCdA6l4KSTTNuOnTtNi/Vbb4XiYvj97yEz05Q63XOPmQpVJlc5Ykr7sUuAUioYWAB8orX+98G2HzlypF6+fHmHHHvlmJUAjPhSijFFB1q0yMwKtWGDafzz+OMytacQmzfDu++a0QS//daM9paUBOPHm2XsWNNVTfyMUmqF1npkW+v82QpdAc8DG9sTvIXo1nbsgAsvNDcju93crD79VIK3EGC6S952GyxZAuXlZs768ePNA+9VV0F6OgwZYkqp3nkHKiv9neKA4LccuFLqdGAJsBZoHnz3Tq31wv19R3LgottpaoK//91MCBEUZAa/2r7yvgAAD0FJREFUuOUWM1SlEOLAvF5Ys8YE8k8/hW++AZvNrBs61HRTO/VUOOUU03DuKGw7cqAcuF+L0A+VBHDRbWhtcgq33AK7dpmR0/7xD5OTEEIcHofDNPj86ivTXe2778x0ugCpqWYgmRNO2LOkpPg1uV3hQAE8qKsTI0TA27QJbrzR5BqGDjXzco8e7e9UCRH4QkPh9NPNctdd4HabnhvffWdy5z/+aLphNuvdG447zhS/DxliqqwGDoS4OP+dQxeSAC5EezU0wAMPwL//DRERpqX5DTeYonMhRMcLCjJT6A4fbv7XAOrqzLwBK1aY13XrYPbsvSdcSUoyvUAGDDCTsmRmmiUjw+TkY2N7RHG83HmEOBitzXjlt9xiplicNg0eecT0cRVCdK2YGFPi1brUy+Mxcwls2ABbt+5ZPv8ciop+Psd5aKgpfk9Jgfh4k2NvXiIiIDx8zxIUZIK9xWIWjwecTrO4XKbOvqFhz5Kaah70u4AEcCEOZOtWM/Tpp5+aAVnmzZO5uYXobqxWU3Q+cODP17lcJojn55vBZEpKoLR0z1JTY9bV1JhhYJ3OQz++xQLR0RAV1aUjLEoAF6ItNpsZXeqRR0yL8ieeMGM+S3G5EIElONgUo2dltW97j8cUx9tsZvF4TA5e6//f3v0HWVnVcRx/f0V+ioEBg46ASBKhYkbLCpnlqBkjIk2aopOCkyKaWpONWUNoZjNqpiCZhcikhvgDCDcVBTH8gUKsyg8JISCJFYjVBNYBWX58++NcY1vvwmX37j33ee7nNfPM3svzsPs9e3ae7z3nOT/C60MPDd+zVavwtV270KKP0CWvu5FIfbNmhVb32rVhdPldd4XBMiKSfi1awGGHhaPIRV9KVaRoVFXBBReEXZVatgzPz6ZMUfIWkaKkBC6yezfccw/07Ru2/LzttrDD0hlnxI5MRKRB6kKX0rZwIVx1VUjY55wDEyZAr16xoxIROSC1wKU0bdkS5pUOGhTWZp42LWy0oOQtIgmhBC6lxR2mToUvfAEmTgybJ7zzDpx/fioWdhCR0qEudCkda9aEqWCzZ0NZGTz7LPTvHzsqEZFGUQtc0q+2NszpPvHEsKbyhAmwYIGSt4gkmlrgkm7z54dBasuXhyli48ZpxzARSQW1wCWdPvwwJO6vfhVqaqCiAp58UslbRFJDCVzSxT2sV963L0yaBDfcEFrfQ4fGjkxEJK/UhS7p8c9/hkFqzz0XBqnNmlXQjQVERApJLXBJvl274M474YQT4NVXw8YjCxYoeYtIqqkFLsm2cCGMGgVLl8KwYWGEeffusaMSEWl2aoFLMm3bBtddF1ZSe/99mD4dZs5U8haRkqEWuCTPU0/B978PGzaEr7/6FXzmM7GjEhEpKLXAJTm2bIERI+Bb34JOnfYtyqLkLSIlSAlckuGFF6Bfv7A/99ixUFkJp5wSOyoRkWjUhS7F7eOP4Sc/gXvvhT594LXXoLw8dlQiItEpgUvxWrkShg+HxYvh+uvDeubt2sWOSkSkKCiBS3F6+OGwKEubNmGf7iFDYkckIlJU9AxciktNDVx2WRisVlYGS5YoeYuIZKEELsVj0aKwetqUKXDLLTB3rjYfERFpgBK4xLd3L9xxB3zlK2Hv7nnz4OaboUWL2JGJiBQtPQOXuN57L3SXz50b9uueOBGOOCJ2VCIiRS9qC9zMJpvZZjN7O2YcEsm0aWFu9+uvwwMPwBNPKHmLiOQodhf6H4HBkWOQQqupgcsvh+98B447Dt56C664AsxiRyYikhhRE7i7vwz8J2YMUmDz58PJJ4dpYmPGhPef/3zsqEREEid2C1xKxc6dYUW1004Dd3j5ZfjlL6Fly9iRiYgkUtEncDMbZWaVZlZZXV0dOxxpjMWLYcAAuPNOuPLKMLf71FNjRyUikmhFn8DdfaK7l7l7WZcuXWKHIwdj1y647bawdnl1NTzzDPzhD3D44bEjExFJPE0jk+axdGkYqPbmm3DRRXDffWELUBERyYvY08imAq8Dfcysysy+FzMeyYNdu8Kz7bIyqKqC6dPhsceUvEVE8ixqC9zdL4758yXPKivDdLAlS8IuYhMmQOfOsaMSEUmlon8GLgmwfTv8+MdwyimweTPMmAFTpyp5i4g0Iz0Dl6aZMwdGj4a1a2HUqLCmeceOsaMSEUk9tcClcTZtgksugbPPDpuOzJsXRpgreYuIFIQSuBycPXvgd7+DPn3CALVbbgkjzr/+9diRiYiUFHWhS+4WLIBrr4U33oCzzgpTw7QMqohIFGqBy4H9+99hTvegQbBxIzz6KMyereQtIhKRErg0rLYW7rknJOopU8Ja5itXwsUXa+cwEZHI1IUun+YOM2fCjTfC6tUweDCMH68Wt4hIEVELXP5fZSWcfjp8+9vQqhXMmhUOJW8RkaKiBC7BqlVhzfIBA2DFCrj//rCi2uDBsSMTEZEs1IVe6jZsgFtvhUmToE0b+PnP4YYboEOH2JGJiMh+KIGXqk2bwv7c998f5nZffTWMGQNdu8aOTEREcqAEXmo2bYJf/zok7tpauPTS0Oru1St2ZCIichCUwEvFu+/CXXfBgw/uS9xjxsBxx8WOTEREGkEJPO2WL4fbbw+7gx1ySEjcN90EvXvHjkxERJpACTyN3OH552HcuPC1XTu47rowOK1bt9jRiYhIHiiBp8lHH4UV08aPD1PBjjwyjDC/5hro1Cl2dCIikkdK4GmwdGnYyvORR6CmBvr3D68vvDAsxiIiIqmjBJ5U27bBk0/C5Mnw2mvQunVI2KNHh01HtFa5iEiqKYEnyZ498OKL8NBDMGMG7NgR9uX+zW9gxAh1k4uIlBAl8GK3dy/Mnw+PPw7TpoWtPTt2hJEjQ9IuL1drW0SkBCmBF6PaWnjpJaiogD//Gd57D9q2hSFDwnrl554blj0VEZGSpQReLDZuhDlz4Jln4LnnwjPutm3hm98MK6cNHQrt28eOUkREioQSeCxbt4bBZ3PnwuzZsGxZ+PeuXcNgtGHD4MwzQxIXERGpRwm8ENxh3TpYtAhefRVeeSVs1bl3b5jmddppcMcdcPbZcNJJYcU0ERGR/VACz7c9e2DNmjA3e9kyqKwMibu6Opxv2zZM8xo7NiTugQPDSmkiIiIHQQm8MdxDQl63Dv7xD1i1KhwrV4YV0HbsCNcdcgj07RsGnZWXw4AB0K+fFlcREZEmUwKHkJB37gyrmH344b7jgw/CtK1Nm8KxcSP861/h+Pjjff/fDHr2DBuEjB4dusH79YPjj9czbBERaRalm8DXr4f1VXD412D79vA8uiGtW4d1xbt2Dcl56FDo0QOOOSZsx/m5z2lal4iIFFTUBG5mg4HxQAtgkrvfXrAf3rYddO4Mw6+Eww7bdxxxBHz2s/u+du0KHTposRQRESkq0RK4mbUA7gO+AVQBi8yswt3/XpAAOncKx90XFuTHiYiI5FPM+UrlwGp3X+vutcBjwLCI8YiIiCRGzAR+NLC+zvuqzL+JiIjIAcR8Bp7tobJ/6iKzUcAogB49euTth7c/WcuSiohIcsVM4FVA9zrvuwEb6l/k7hOBiQBlZWWfSvCN1Xtc73x9KxERkYKL2YW+COhtZseaWStgOFARMR4REZHEiNYCd/fdZnYt8DxhGtlkd18eKx4REZEkiToP3N2fBZ6NGYOIiEgSadsrERGRBDL3vI0La3ZmVg2sy+O37Ay8n8fvV6xUznRROdNF5UyXfJfzGHfvku1EohJ4vplZpbuXxY6juamc6aJypovKmS6FLKe60EVERBJICVxERCSBSj2BT4wdQIGonOmicqaLypkuBStnST8DFxERSapSb4GLiIgkUkkkcDMbbGYrzWy1md2U5fxIM6s2s8WZ44oYcTaFmU02s81m9nYD583M7s38DpaaWf9Cx5gPOZTzdDPbWqcuxxY6xnwws+5m9lczW2Fmy83sB1muSXyd5ljOxNepmbUxs7+Z2ZJMOX+R5ZrWZvZ4pj4XmlnPwkfaNDmWM/H320+YWQsze8vMns5yrvnr091TfRCWaV0D9AJaAUuA4+tdMxL4bexYm1jOrwH9gbcbOH8OMIuwC9xAYGHsmJupnKcDT8eOMw/lPAron3l9OLAqy99t4us0x3Imvk4zddQ+87olsBAYWO+aa4DfZ14PBx6PHXczlTPx99s6ZfkR8Gi2v89C1GcptMDLgdXuvtbda4HHgGGRY8o7d38Z+M9+LhkGPOzBAqCjmR1VmOjyJ4dypoK7b3T3NzOva4AVwNH1Lkt8neZYzsTL1NFHmbctM0f9AUjDgIcyr6cBZ5pZtm2Xi1aO5UwFM+sGDAEmNXBJs9dnKSTwo4H1dd5Xkf0GcX6mG3KamXXPcj7pcv09pMGgTBfeLDM7IXYwTZXpevsSoTVTV6rqdD/lhBTUaaa7dTGwGZjj7g3Wp7vvBrYCnQobZdPlUE5Ix/12HHAjsLeB881en6WQwLN94qn/ifAvQE93Pwl4gX2fmtIkl99DGrxJWHrwi8AEYGbkeJrEzNoD04Efuvu2+qez/JdE1ukBypmKOnX3Pe5+MtANKDezE+tdkor6zKGcib/fmtm5wGZ3f2N/l2X5t7zWZykk8Cqg7ie8bsCGuhe4+wfuvjPz9gHgywWKrZAO+HtIA3ff9kkXnofd7lqaWefIYTWKmbUkJLUp7j4jyyWpqNMDlTNNdQrg7luAecDgeqf+V59mdijQgQQ/LmqonCm5354KnGdm7xIey55hZn+qd02z12cpJPBFQG8zO9bMWhEGE1TUvaDec8PzCM/h0qYCuCwzcnkgsNXdN8YOKt/M7MhPnjOZWTnhb/yDuFEdvEwZHgRWuPvdDVyW+DrNpZxpqFMz62JmHTOv2wJnAe/Uu6wCGJF5fQHwomdGQCVFLuVMw/3W3X/q7t3cvSchp7zo7t+td1mz12fU/cALwd13m9m1wPOEEemT3X25md0KVLp7BXC9mZ0H7CZ8QhoZLeBGMrOphNG6nc2sCriZMIAEd/89Yd/1c4DVwHbg8jiRNk0O5bwAuNrMdgM7gOFJuwlmnApcCizLPE8E+BnQA1JVp7mUMw11ehTwkJm1IHwAecLdn653H3oQeMTMVhPuQ8PjhdtouZQz8ffbhhS6PrUSm4iISAKVQhe6iIhI6iiBi4iIJJASuIiISAIpgYuIiCSQEriIiEgCKYGLiIgkkBK4iIhIAimBi4iIJNB/AZYHqD7y49K1AAAAAElFTkSuQmCC\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# The value (y) and position (x) of the true min\n", + "true_min_y = np.min(Y_grid)\n", + "true_min_x = X_grid[np.argmin(Y_grid)]\n", + "\n", + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) # <-------------- Remember this is LCB\n", + "\n", + "# Create the necessary variables\n", + "from GPyOpt import Design_space ## GPyOpt design space\n", + "space = Design_space([{'name': 'var_1', 'type': 'continuous', 'domain': (0.5, 4.0)}] )\n", + "from GPyOpt.models import GPModel\n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " model = GPModel(optimize_restarts=1,verbose=False)\n", + " model.model = m\n", + " \n", + " # find the sample \n", + " acq_LCB = AcquisitionLCB(model,space,exploration_weight = 2) # <------------ Beta is a constant = 2\n", + " alpha_full = acq_LCB.acquisition_function(X_grid)\n", + " next_sample_index = np.argmin(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_min_x, true_min_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples, Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ScLBT0tC78Ip" + }, + "source": [ + "Due to the stochasticity of our active learning methods, we want to see performance over multiple runs. Let's look at performance over 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "id": "j4UUgFXU7-om" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3180319524.005613\n", + "0\n", + "2113108339.4059718\n", + "0\n", + "3742553619.1432433\n", + "0\n", + "3886465302.8528337\n", + "0\n", + "4845392899.166381\n", + "0\n", + "2826241118.948545\n", + "0\n", + "3083219114.5848646\n", + "0\n", + "2265736411.6408815\n", + "0\n", + "2649549103.385618\n", + "0\n", + "4840233308.131926\n", + "0\n", + "2272653051.4457293\n", + "0\n", + "5038983816.763086\n", + "0\n", + "3539078218.159222\n", + "0\n", + "2971581662.611457\n", + "0\n", + "3829966960.729878\n", + "0\n", + "4726561826.163958\n", + "0\n", + "4048854630.9428678\n", + "0\n", + "2744492959.415114\n", + "0\n", + "2173695487.5643907\n", + "0\n", + "4561496689.193196\n", + "0\n", + "4357838519.476105\n", + "0\n", + "3825646216.810186\n", + "0\n", + "2295740936.2685924\n", + "0\n", + "2525815018.060677\n", + "0\n", + "2286854420.4654016\n", + "0\n", + "2343409905.860871\n", + "0\n", + "2919876834.5029263\n", + "0\n", + "2244153594.380228\n", + "0\n", + "2499696824.5846868\n", + "0\n", + "2963640830.6806026\n" + ] + } + ], + "source": [ + "# BO by maximizing mean\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALmean_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALmean_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALmean_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALmean_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 112403, + "status": "ok", + "timestamp": 1594652324712, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "_q55wuNl8BzV", + "outputId": "09a37225-567b-49b6-e2cb-96ddb372855c" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALmean_ = np.empty(queries_ALmean_.shape)\n", + "for i in range(0, queries_ALmean_.shape[0]):\n", + " minregret_ALmean_[i,:] = calc_min_regret(queries_ALmean_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALmean_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALmean_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "id": "IkDnLIeV8EsW" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2922471630.0195146\n", + "0\n", + "5014421843.109849\n", + "0\n", + "4880018001.674974\n", + "0\n", + "2728023307.948892\n", + "0\n", + "2222497270.822104\n", + "0\n", + "3007991612.2578893\n", + "0\n", + "4878720702.206851\n", + "0\n", + "2742778920.1683373\n", + "0\n", + "3082566753.283439\n", + "0\n", + "2545494711.7105303\n", + "0\n", + "2441654989.107521\n", + "0\n", + "2190237335.4287496\n", + "0\n", + "4377513560.140001\n", + "0\n", + "3107409370.6689873\n", + "0\n", + "2742761062.9470634\n", + "0\n", + "2728590220.2152624\n", + "0\n", + "2856659654.350255\n", + "0\n", + "2282418204.091008\n", + "0\n", + "3207644431.867365\n", + "0\n", + "2482181941.3378377\n", + "0\n", + "2925418639.3524485\n", + "0\n", + "2648905249.6806235\n", + "0\n", + "3095472686.769786\n", + "0\n", + "4891799187.164845\n", + "0\n", + "5004216732.282928\n", + "0\n", + "4428713015.588562\n", + "0\n", + "2150678636.411137\n", + "0\n", + "2441536251.434326\n", + "0\n", + "2762084245.6334662\n", + "0\n", + "2286346469.333142\n" + ] + } + ], + "source": [ + "# BO by maximizing variance\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALvar_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALvar_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALvar_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALvar_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 143152, + "status": "ok", + "timestamp": 1594652355477, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "YcSRILz68IB4", + "outputId": "8345fc2b-0fe8-4cb8-e9cd-bec49f707c92" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALvar_ = np.empty(queries_ALvar_.shape)\n", + "for i in range(0, queries_ALvar_.shape[0]):\n", + " minregret_ALvar_[i,:] = calc_min_regret(queries_ALvar_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALvar_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALvar_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "id": "ojEykqnA8NKq" + }, + "outputs": [], + "source": [ + "# Number of samples \n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALUCB_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALUCB_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(-np.pi, np.pi * 3/4, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALUCB_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALUCB_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 170976, + "status": "ok", + "timestamp": 1594652383315, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "5_buYVDD8PwX", + "outputId": "80f06e09-562e-4829-98fb-587a4eac91ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALUCB_ = np.empty(queries_ALUCB_.shape)\n", + "for i in range(0, queries_ALUCB_.shape[0]):\n", + " minregret_ALUCB_[i,:] = calc_min_regret(queries_ALUCB_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALUCB_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALUCB_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 171356, + "status": "ok", + "timestamp": 1594652383704, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "KeBcoGtb8R2w", + "outputId": "4b56be31-68ef-4006-bf29-1cd625a4af05" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(1,2,1)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "\n", + "plt.subplot(1,2,2)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of RMSE over runs')" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "Gaussian Processes and Active Learning 200722a.ipynb", + "provenance": [], + "toc_visible": true + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/Gaussian Processes and Active Learning 200722a iter testing.ipynb b/Gaussian Processes and Active Learning 200722a iter testing.ipynb new file mode 100644 index 00000000..0e07dd6b --- /dev/null +++ b/Gaussian Processes and Active Learning 200722a iter testing.ipynb @@ -0,0 +1,5272 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "Wa6ZQnk939RP" + }, + "source": [ + "# Introduction to Guassian Processes and Active Learning\n", + "A. Gilad Kusne aaron.kusne@nist.gov \\\n", + "Austin McDannald, austin.mcdannald@nist.gov" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NDd8sa7rXh0t" + }, + "source": [ + "Install the required packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 47948, + "status": "ok", + "timestamp": 1617137243122, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "xkA-iGkQ2hw7", + "outputId": "ca494f3d-e993-4f88-ea84-21e22917f048" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR: Invalid requirement: '#'\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: GPyOpt in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (1.2.6)\n", + "Requirement already satisfied: numpy>=1.7 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.16.5)\n", + "Requirement already satisfied: scipy>=0.16 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.3.1)\n", + "Requirement already satisfied: GPy>=1.8 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.9.9)\n", + "Requirement already satisfied: six in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (1.12.0)\n", + "Requirement already satisfied: paramz>=0.9.0 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (0.9.5)\n", + "Requirement already satisfied: decorator>=4.0.10 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from paramz>=0.9.0->GPy>=1.8->GPyOpt) (4.4.0)\n" + ] + } + ], + "source": [ + "!pip install GPy # GPFlow, GPyTorch\n", + "!pip install GPyOpt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "executionInfo": { + "elapsed": 1320, + "status": "ok", + "timestamp": 1617137341028, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "sUPt9qaP339F" + }, + "outputs": [], + "source": [ + "# Support for math\n", + "import numpy as np\n", + "\n", + "# Plotting tools\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "# GPy: Gaussian processes library\n", + "import GPy\n", + "import GPyOpt\n", + "\n", + "import math\n", + "\n", + "from numpy.random import seed\n", + "seed(12345)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls_iter_testing import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,range(2))\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,range(2))\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "def objectiver(h,srange):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,srange)\n", + " print(total_cost_new)\n", + " return total_cost_new\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lvHJ4i7b6G9l" + }, + "source": [ + "This function allows us to plot Gaussian processes." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "executionInfo": { + "elapsed": 462, + "status": "ok", + "timestamp": 1617137361146, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aby9EEjf34xb" + }, + "outputs": [], + "source": [ + "def plot_gp(X, m, C, training_points=None):\n", + " \"\"\" Plotting utility to plot a GP fit with 95% confidence interval \"\"\"\n", + " # Plot 95% confidence interval \n", + " plt.fill_between(X[:,0],\n", + " m[:,0] - 1.96*np.sqrt(np.diag(C)),\n", + " m[:,0] + 1.96*np.sqrt(np.diag(C)),\n", + " alpha=0.5)\n", + " # Plot GP mean and initial training points\n", + " plt.plot(X, m, \"-\")\n", + " \n", + " plt.xlabel(\"x\"), plt.ylabel(\"f\")\n", + " \n", + " # Plot training points if included\n", + " if training_points is not None:\n", + " X_, Y_ = training_points\n", + " plt.plot(X_, Y_, \"kx\", mew=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IjuRaWnL6Vh9" + }, + "source": [ + "### The Kernel is key:\n", + "Gaussian Process: P(X) ~ N($\\mu$,K)\n", + "* $\\mu(x^*)=K_{*x}(K_{xx}+\\sigma^2I)^{-1}y$\n", + "* $\\sigma^2(x^*)=K_{**}-K_{*x}(K_{xx}+\\sigma^2I)^{-1}K_{*x}^T$\n", + "\n", + "Let's see how using different kernels impacts the possible curves.\n", + "\n", + "Applications for each?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LCsVZdn-sap8" + }, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 23575, + "status": "ok", + "timestamp": 1617137428168, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "7B1UW-BY6UVu", + "outputId": "3e72ed57-abd8-46a2-df61-6dd9046855e0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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k2yrq6E9p6376M48BLIPeXtfsr21mbKd44WNphqidOA9SDWqnJ925lqNfO43adAO5vzn99PdLgQznvKT41gL+HEQQhBGFeOoFQRiYg6/C5DOSHox0pi2z6tV3HIaK+sE9myAIgkdi2kgxol1Jk+K7xtjH+8eCFN+t3F1ytgcpfrbl7iA3Kb4Xbz2IFF8QxgCmHrmeejHqBUFwJxq2YuqXf7T/MQ3LrNd962HRdYNzLkEQhDyJaUVbZFxuk+wEei7l7hLtYZVAL9tyd9bYrBPouZW7A+8J9GyZ/UDl7sB7Ar0MifL8SKDnlxRfEugJwuAh8ntBEEY3RzdDLJw5nt5m8hkQKIL96wfvXIIgCMLoJRsJ/HBaVxAEYQgRT70gCO4c2WS91p/R/5hgsZUZX+LqBUEYQcS0kRK3njW5lLuL9w+1FN+t3B14l+K7lrsD71J8t3J3mQ6crRTfrdxdvN+TFD/bcncu47Oeny0ixReErNEoYiPY3y1GvSAI7pzYAyionu4+rmEZrP+JJdcPFrmPFQRBGAZorWgPezDqwbXcHQw/Kb5bjD14l+K7lruz+zxI8V3L3bkdeCApvlu5O/AuxXeJsbe6vUnx846xt/cSw14QBmQkx9SP3McRgiAMDq1NUDl1YEO9YTnEeuHgy4NzLkEQBEEQBEHwATum3o9rKBBPvSAI7rTuhfEzBh7XeB6gYNeTMH1FwY8lCIKQL6ZWKaXiPDFCpPh9E+eBH1L8PonzwBcpfp/EeTZ5SvFdE+fZc0SKLwjCCEOMekEQ3GltgpkXDDyutMZKmLfrCbjo8wU/liAIQr6YWtEVDuW/0AiQ4mdb7g5yleL3X+7OHudNiu9S7g48S/Fdy92lz8lFip9luTurW6T4gjD8UMT0yBWxj9yTC8IY42RvlMe3HUUPZubeaC+0H4TqLDz1ALMusjLg954s5KkEQRAEQRAEwTdsRZMf11AgnnpBGAG0dIZ53/+uZ8P+Nv75ivl8/OI5g7Nx235AZye/B8uof+Y70PQczL2sgAcTBEHIH21Cb8THj0J+SPGHpIY9eJfiu9SwB89SfNca9jZepPjZ1rC352Qrxc+yhr3VPQyk+OKtF4RRhRj1gjDMOdLew813P09TSxfLZtbwzUe2sXByBasW1BV+89a91utAme9tpq+AQLElwRejXhCE4Y5WRMM+fxTKV4o/BOXurDZ4keK7lbuz53uR4ruWuwOR4ucrxZcYe0How1AlufMDkd8LwjCmqbmLt/zoWQ62dvOz9y/j3vcvY2F9JV98YCPh6CD8IT5hG/VZeupD42D6citZniAIgiAIgiCMALS2Yur9uIYC8dQLwjDmCw9soL07yq8+vIIzGqoB+NyV83nf/77AwxsPccOSqYU9QGsTGEGonJL9nOnnwlP/DT3tUFJZuLMJgiDki4ZY2KAgH4e8SvGHoIY9eJfiu9Wwt/u9SPHdatgndvIixXerYQ/epfhuNexBpPiCIBQUMeoFYZhyqK2b53Y18+lL5yUMeoAL501kzqRy7l67i+sXT0GpAkqFWvdC1TQwAtnPmb7c+oCw/wWYc0nhziYIgpCGUuqzwDeAiVrr4wNO0AodMRJGru8fizxI8Yei3B3kI8Xvv9yd1e9Niu9W7g7ykOK7lLuDPKT42Za7g9yk+Fka9hnnZ4tI8QUBAFPk94Ig+M2Drx1Ea7jujFQvuVKKD543k9cPtLNuV0thD9HalL303mba2dYHhH3PF+ZMgiAIGVBKNQCXAU1DfRZBEARhZKGBGIYv11AgnnpBGKb88ZWDLG6oprG2rM+9Ny+Zyn8+tIU/vnKAc2ZPKNwhTuyF+VfmNqe4AupOgaZ1hTmTIAhCZr4NfA74U9YzNKiwkfBWW/7dIZbiD0EN+/hRhpUU372GvbXacJLiuybOA+9S/By86CLFF4Sxixj1gjAM2XGkg82H2vnXaxdlvF8SCnDxgkms3nKEmKkJGAWQC4W7oPNo9pnvnTSsgFd/BbEoBOTXjCAIhUUpdR1wQGv92kAhSUqpW4BbAILjx2NEVMKYtTw1NkMjxXctd+dcxzeGqRTfpdxdcqfhI8V3LXcHIsUXhGGPGrIkd34wck8uCKOYJ7YdA+Dq0yb3O+byU+po7gzzctOJwhyiZZf1WjMr97kNyyHSCUc3+XsmQRDGLEqp1Uqp1zNc1wP/AtyezTpa67u01mdprc8yyvoqoQRBEISxh61W8uMaCsSFJgjDkJebTtBQM466ypJ+x1w4byKhgOKRTYc5u7HG/0O0vGG91szOfe705dZr0/Mw+Qz/ziQIwphFa31ppn6l1GnATMD20k8DXlZKLdNaH3ZbU2lQEeXwSosUP36UrKX4bjXsIQ8pvksN+9SVrNWyluJnWcMecpTiZ1vDHkSKLwiC74hRLwh+c2gDPP9jq2Z740pYdENSipcFWmtebjrBilnusfIVJSHOnV3LI5uP8KWrF/qfBb85btRP8GDUVzVAxRTYtw6W3+LvuQRBEBxorTcCk+z3Sqk9wFnZZb8HI5wqCR9qKb5ruTsYdlJ8txh7675HKb5LuTur7VGK7xZjD96l+G7l7qCvcZ+lFD/fcnfWsiLFF4RsiOmRm/1ejHpB8JPH/xOe/C8oqrDev/ATeOu9cMoNWS9xsK2HI+29LJ0xfsCxly2q48t/fJ1dxzuZPbHc66kz07ILyiZZie9yRSnLW98kGfAFQRi+KG3ZyEZUYQYtWy0QUeiQtoz7sIEuMokBsXARgaKkcdMVDlFaFAGgPVxMZZFlYLdFxlEV6gagJVpGTbATgNZYKdWBLgA6zBIqjB4weumKQakyE177qI4RJNDHuA8RJKKtMaUB6NKWcV8a6KYrHgdaYfTQYVoKr+pAF62x0sQalcEe2qPWvfJQLycjxQCMC4XpjhQBUByK0hsJAkEoMonFkwjGiqyEggYQC2lURJEwpUNgRCxbORYEZRvnQft5hYIgGFHLuDeDKt6vId42Id7WSa99QGHErPe6KIAytWXcGwplasugN0CZcePeMFCmCZhowwCTvsZ9nwR6DuPa9qqnG/eBeMx8H+M+PjeXWvbxfqB/r701wdHlEmOfNrY/xLgXhIHRqCHLXO8HI/fkgjDcOLYNnvomnPJm+PTr8IW9UHcqPPoViPRkvcxLe60Y+TOnD2zUnxvPfL9+dwFK27Xs8ualt2lYAe37oW2/f2cSBEEYAK11Y1Zeegemw8WhQ0nDRzuMeKdBDyQMeiBh0AMJgx5IGPRAwqAHy/hOrKNS1w0SyHjGiI4m2l0p7eRHOdugB1IMeiBh0AMJgx5IGPRA3KC3iIWT6ypnO5LmqU9+GxIGPSSjBay27qc/8xjAMujtdc3+2mbGdooXPpZmiMZijnGOPZ2edOdajn7tNGrTDeT+5vTT3y8FMpzzkuJbC/hzEEEQCoJ46gXBL1Z/FYrK4Opvwrhqq+/Kr8O918ITX4dLbgcj84c1Jy/vPcG4UIAF9QN7yGfWllFbXsz63S28c5mHLPVuNL8BczKGsGZHwzLrdd/zUDXNnzMJgiD4iU41SmHopfiuMfbx/rEgxXcrd5ec7UGKn225O8hNiu/FWw8ixReEYYQ5grPfi1EvCH7QtA62PWwZ7mW1yf6ZF8Cpb4FnvgNb/gwr/wnOeAcEi/td6pWmE5w+rYpgYOBfLEopls+s8d9T33sSTh6GCR4y39vUnwahUkuCf+pN/p1NEATBL/oY9UCGRG6DmkDPpdxdoj2sEuhlW+7OGpttAj2NQsUl+33K3YH3BHq2zH6gcnfgPYFehkR5fiTQ80uKLwn0BKEv1sPbkWvUj9yTC8JwYv1PoKQKlt/a996NP4G3/xKKK+HBT8F3F8Pa70Bnc5+hPZEYmw62c2YW8fQ2y2bWcKC1m/0nugYenC35lLOzCYRg6lIrWZ4gCIIg5ICK5ikX749sJPDDaV1BEIQsEE+9IORL9wnY8iCc+R4oKu173zBg4bWw4E2w63FY+21Y/a/WVTvPkuvPuhCAjQfaiJo6q3h6m2UzrXJ263e3MG18hv29kE85OyfTV8DT37I8/8U+J/ITBEHIE6WtOPDMHo6BpPhDXO4u3j/UUny3cnfgXYrvWu4OvEvx3crdZTpwtlJ8t3J38X5PUvxsy925jM96fraIFF8YhWiUZL8XhDHNhvsh1gtn/oP7OKVg9irrOrwRdjwCr/wSHvgwfGwdlNbwciJJXnXW28+vq6CyJMj63S3ceKZPset2Obt8PPVgeep1DI5sStauFwRBGC7Es9+nGI0p9C/FH4pydzD8pPhuMfbgXYrvWu7O7vMgxXctd+d24IGk+G7l7sC7FN8lxt7q9ibFzzvG3t5LDHthFGGOYBH7yD25IAwHtIZXfg71p8PkM7KfV38anP8Zq9xdVzP87QuAlfm+cUIpE8r7j7lPxzAUy/yOq2/ZBeX1+XvXJy20Xo9tyf9MgiAIgiAIgiD0QTz1gpAPOx+zvO5v+ra3+ZNPh/M/C0/egT77w7zc1MYFc2sHnpfG2Y01rN5ylKMdPUyqKBl4wkC0NsH4xvzXqZoOoTI4Kka9IAjDEJ1aVi3FE5xCXyn+oCXOg2Etxe+bOA/8kOKnJ84DfJHi90mcZ5OnFN81cZ49R6T4gjBs0Rpikv1eEMYgpgmPfRWqZ8Dim72vc+4nYN0P6Xr6To6ffCtLckiSZ2PH1b+45wRXnzbZ+1ls2g/AlCX5r2MYMGkBHN2c/1qCIAg+o+ib/T5bKf5QlLuD4SfFz7bcHeQqxe+/3J09zpsU36XcHXiW4ruWu0ufk4sUP8tyd1a3SPEFwTsKM8PvrZHCyH0cIQhDzaYHLC/9qi9DsMj7OsUVsORmxu14kEmcyCme3ubUqVWMCwX8keBrDe0HoXJK/msBTFwonnpBEARBEARBKBDiqRcEL0TDsOb/g7pTrTr0+bLsw7Duf3h/8WPMr3tXztNDAYOlM8bzvB9GfVcLRHug0qeke5MWwqu/hM7jUJZ7aIEgCELB0GBENZm8ygNJ8Yekhj14l+IPSQ178C7F77+GPeBZiu9aw97GixQ/2xr29pxspfhZ1rC3uoeBFF+89cIIRSPye0EYe7x8L5zYA++6P/lHOh9qZvFS8Ezeop8hGPC23rKZNXx79XbauiJUlYa8n6V9v/Xql6feTpZ3dAvMPN+fNQVBEPxAg4rhMMtTDVA3Kb57uTsYdlL8ISh3Z7XBixTfrdydPd+LFN+13B2IFD9fKb7E2AsjmNgIFrGP3JMLwlAR7oQn/xumnwtzL/NlydauMH/pPpWJsSPWwwIPLJtZg9bw4t48vfXtB63Xyqn5rWPjNOoFQRAEQRAEQfAV8dQLQq48/S3oPApv/2VSJpcn63e38Ix5ivVm91OeMs8vbqimOGjw9I7jXLKwzvth2uKe+iqfjPqKyVBSJWXtBEEYdqg+depzkeL3X8MehqEUfwhq2IN3Kb5bDXu734sU362GfWInL1J8txr24F2K71bDHkSKLwg+oVGYeuQmyhOjXhBy4egWeOa7cMY7Yfpy35Zdt6uFfYEGdNkk1O6n4Mz35LxGSSjAubMnsGbrUf712kUorw8c2g+CEYSyid7mp6MUTFoknnpBEIYlzph6y1AcnVL8oSh3B/lI8fsvd2f1e5Piu5W7gzyk+C7l7iAPKX625e4gNyl+loZ9xvnZIlJ8YYQh8ntBGO1Ee2HHo/CHj0JxOVz+774u//zuZpbOqEHNvMDy1Gtvf0AvWVhHU0sXO4+e9H6Y9oNQMQWMgPc10pkwB5p3+reeIAiCIAiCIAiAeOoFYWDMGPziRti7FkKlcMMPfc3i3tYVYfOhdj596TyovgBe/x0c3wET5+W81iULJ/HlP8LqLUeZW1fh7UDtB/xLkmdTMws6j0Fvh1XCTxAEYTigbUd30js/aqX4Q1DDPn6UYSXFd69hb602nKT4ronzwLsUPwcvukjxhbGABkzJfi8Io5hnvmMZ9FfeAUvfD6ESX5d/YU8LWsPymTWWUQ+w+0lPRv3kqnGcMqWSNVuPcOtFs70dqP0ATF7sbW5/1My0Xlt2w+TT/V1bEATBI0prVMxp0mUvxXcrdwfDT4rvWu7OuY5vDFMpvku5u+ROw0eK71ruDkSKL0vzq1cAACAASURBVAi+oYhl+J00Uhi5jyMEYTDYtx4e/0845c2w/KO+G/QAr+w7QcBQnNFQbSXIK6+DAy95Xu+ShXW8tPcErV3h3Cdrbcnv/UqSZ1Mzy3o9sdvfdQVBEARBEARhjCOeekHoj8Mb4f/eAlUNcM23fMt0n86G/W3Mr6ugJBSX9U1ZAgdf8bzessYaTA2bDrazck6OYQJdLRDt8a+cnc1421O/y991hRHDic4wa3ceZ1JFMctnTRjq4wiChbYS5SW9vA4X9wBSfLfEefZ9keKDVym+Ww17SPf05yDFd6lhn7qStVrWUvwsa9hDjlL8bGvYg0jxBSEPRH4vCKOR3pNWHH1RBbz3z1BaU5BttNZs2N/G1afVJzunLIHtf7fOUFye85rz662Y9a2HO3I36tvj5ez8NupLKq1s+mLUj0ke3niIT933ClFTU1YU4OnPr6KmrMjzeifuu4/mu++h/vavUH7hhT6eVBiLqKhOkYSPVim+a7k7GHZSfLcYe+u+Rym+S7k7q+1Riu8WYw/epfhu5e6gr3GfpRQ/33J31rIixRdGFyK/F4TRxsbfWrXob7obqqcXbJumli7auiOcNrU62TnlTEDDodc8rVlbXkRNWRHbD3fkPrn9oPXqt1EPlre+ReT3Y42Drd18/vcbOGVKJT941xK6IjHueir3hztmOEzXCy9w5Ot3cPjfvkbsxAn23foxTtx/fwFOLYwVlNP+iSbfqFiybaT0p863ndzWfEd/xNEOK0d/sq0jyY9g0XCqcd8dST70OhkpTrTbo8kQsLZYaaLdGitLts3k+E4z1WiK6CiZCJKsdlJmJM9V7TDuqwOdiXZVoCtlflWoO9GuLErOKS1KfiOCRcm9VSh5LjOU/P6aRalGohlytIOZ+3XAOcbx/Q042sHUD+rO9zro+CjsmJPSdnxPtKPdR8HnfJ9N2+jHgMhXGdjfuunb9Lu/mAeCMNIQT70gpKM1vHAP1J8G01cUdKvX9rcBcPq0qmTnlCXW68FXoHFlzmsqpZhfV8HWI/kY9ZNznzsQNbNgz1r/1xWGJUfbe1i95Si/fqGJmKn53juXMGNCGY9sOsK9z+7hQ+fPpLa8eOCFAB2Nsu8DH6TrxRcBqLrpRuq+8AX2f+zjHP3GN6m+4QZUKDTAKoKQGWXqhPc2RYrvyIpvOGXcjrr2fe45jfkoiXEqohJeFBV2SPHDBvZHsd5I6key9nDy/0dbZFyi3RJ1GPAOw77DTBr8XTop++7S0ZTEeU5SpfhBh3c/KcWvMHoS46sdxnxNMGnkA5SHksb8uFAyp0txKGnMB4rMpBS/yEyqF0LJ77uZ9slUB8l4zww6pPhBSPjVg0m1hTUmvo6hUlQV2lAJKb42VFKfYTik+IbDO28kvfkEjKS3Xqm0xHkOOb1KezDglM/bUnzVjxQ/05xcpPhOMnjg/TDoRYovjCa0ViK/F4RRxb71cOR1eNN3ChZHb7NhXytFQSMhmQegfKIVx3/wZc/rzq+v4Lcv7sM0NUaWT+wB6Dhs/ZEtm+R5736pmQUbfgORnoIkHBSGD5sPtvOen67n+MleqsaFuOOm05kxwTJE/vHSufxlw0HuWbubz1+5IKv1mu++m64XX2TS5z5H5dVXEaq3wlXG/8PNHPjUP9L10suUrVhesK9HGMVoMGIOGXeUHKT42Za7g+EgxXeNsY/3jwUpvlu5u+RsD1L8bMvdQW5SfJdydyBSfEHwk5gY9YIwinj5XiiuhNPeWvCtNhxoY9HkSkKBtF8iUxbnlSxvfn0FXeEY+090M31C6cATbDoOWQZ9oAC/GmpmAhpa98LE+f6vLwwLdh7t4O13PUd5cZAHP3Eep06tRDkejs2eWM7li+r51fNNfGrVXMYVBVxWg55t2zj2gzupvPpqat7/vpS1yleuRIVCnHz8cTHqBY/oPjH1Ca89TgOwbwI9txh7e34qQ5tAr5MwZYaRsdxdou0hgV5VoCslFCB73BPomUWpoQvOe33JPoGeRqHiiow+5e7AewI922M+ULk78J5Az6vXfoAEeq7l7qwbGb6I9KHitReEXFBKXQl8FwgAd2ut70i7Px24F6iOj/mC1vrh/tYbuY8jBKFQ7HoS5lziKUldLsRMzaYDbZzhlN7bTDnTSirXfcLT2vPqLM//tlwl+B2HoaJ+4HFesMvaSbK8Uc0vnttLOGpy/0fP4bRpVSlGuM0HzptJW3eEB17ZP+B6J351HyoUov72r/RZyygro/ScFXQ8/jha5/FhUhDGAM5YeT/xZtAPTLpB7xfO3Am+UqjfQfK7TRAGBevhovLlGgilVAC4E7gKWAS8Uym1KG3Yl4Hfaq2XAO8Afui2pnjqBcFJ6z4rA/z0fyz4Vhv2t9IZjrG0MUNm/bpTrNfjO6BhWc5rz6uzHkhsO9zOZYvqsp/YcRiqpuW8X1aIUT/qicRMHtxwiEsX1TFtfP8f9M9uHM+pUyv56drdvPPs6f2GiJi9vbT/9a9UXHYpgerqjGMqLr6Yw//2NcK7dlE8e7YvX4cwhtBpMfU4HKsDSPHdyt0l52RiICn+EJe7i/cPtRTfrdwdZHKAZyfFdy13B96l+G7l7jIdOFspvlu5u3i/Jyl+tuXuXMZnPT9bRIovDClqMOX3y4CdWutdAEqpXwPXA5sdYzRQGW9XAQfdFhSjXhCcNK2zXqcXXsq7dsdxAFbOzlCzuyZunLTs8mTUV5SEmFo9jm1HTuY2seMQTDsr5/2yYtx4KJ0Ax7YVZn1hyFm74zgtnWFuWOxePUEpxQdWzuS2377G6i1HuPyUzOqQk2vWYLa3U33DDf2uVX7xxfBvX6NjzRox6gVPqKjpkF6n2WCuUvzsyt3Z89N2dcy1xxpDVu4Ohl8te7cYe/AuxXctd2f3eZDiu5a7czvwQFJ8t3J34F2K7xJjb3V7k+LnHWNv7yWGvTCyqVVKveh4f5fW+i7H+6nAPsf7/UC68fFV4BGl1CeBMuBStw1Ffi8ITvats2rTTzql4Fs9vfM4p0ypZEKmDODV060/anl4tRfUV7DtcHv2E6Jh6DoOFQXIfA/WB4xJi+DolsKsLww5f3jlANWlIS6cN3HAsdedMYUZE0r57mM7+pXOt/7xjwTr6ihd3v9DtlB9PcWLFnJyzeOezy0IgiAIwthGA6ZWvlzAca31WY7rrrTtMkkU0z8MvRP4mdZ6GnA18Aul+i9PIZ56QXDStA4azi5MojgHnb1RXmk6wQfPm5V5QLDIyoDf/IbnPebVV/Dk9mOEoyZFwSye3508Yr0WKqYeYNJCePU+y3tQ4MoCwuASjpo8uvkINyyZmtXPWzBg8MlVc/ns/a/xyOYjXJHmrY+1tdG59hkmfOD9qIB7Mr2Ki1dx/Ic/JNrSQrAmQziLIPRHQn4f9woGjRyk+KmJ86w5+UvxBytxntUevlL89MR5FvlL8dMT5wG+SPH7JM6zyVOK75o4z54jUnxB8IXY4Pm79wMNjvfT6Cuv/yBwJYDW+jmlVAlQCxzNtKAY9YJg090KRzbBwusKvtXzu5uJxDTnz63tf1DNrLw99VFTs+v4SRbUVw48oeOw9VooTz1YRn24A9r2Q3XDwOOFEcPOoyfpjsQ4J1M4ST/csHgKdz6+k++s3sFlC+tSYus7n1sHsZglrx+A8lUXc/zOOzn5xJNU3/hmT+cXxiYKDTGdNBVzkOK7l7uDdAM0Wyn+UJS7g+Enxc+23B3kKsXvv9ydPc6bFN+l3B14luK7lrtLn5OLFD/LcndWt0jxBcFnXgDmKqVmAgewEuG9K21ME3AJ8DOl1EKgBDjW34IivxcEm/0vABqmryj4Vk9tP05x0GDpjPH9D5owOy+jPpEB/3CWGfA7DlmvhfTUT1xovYoEf9Sx+ZAV6rFochYPkOJY3vo5bDnUziObD6fc63xmLUZ5OeNOP33AdUoWLSJYV8fJx0WCLwiCIAhC7mj8kd7H5ffue2kdBT4B/B3YgpXlfpNS6mtKKdu7+Bngw0qp14D7gPdpl1I/4qkXBJvDG63XKYsLvtULe1pYOmM8JSEXWXHNLOhpha4WKM1dUjx7YjlBQ+Vg1A+Gp36B9Xp0M8y7vHD7CIPO5oPtlIQMZtaW5TTvujOm8IM1lrf+8kX1GIZCa83Jtc9Qds4KVHDgP1NKKcovvoi2Pz+I2duLUdw3T0VPJMa3V2/n8kV1LJ0hEn0hjgZlpkmns5Ti902cZ62QrxR/KGrYW22PUvxBSpwHfknx+69hD3iW4rvWsLfxIsXPtoa9PSdbKX6WNeyt7mEgxRdvvTAImIPo747XnH84re92R3szsDLb9Xz5C6GU+inwJuCo1vpUP9YcC3SseZz2v/6VshXLqbjiCgLlha2LLgzA8e1QMQVKMtSN95GucJSthzv42EUDZOp2loDzYNQXBS0Da3u2teo7DoIRtDLUF4px463vsXjqRx2bD7WxoL6SQD/l6fojGDD41CVz+affvMojmw9z5amTCe/aRfTQIco+8pGs16lYtYrWX/+Gruefp/yCC1LuRWImn7zvFR7dfIT7nm/igY+tZM4k+X0rxInpzFnNB5Diu5W7S/bnLsVPj7G3Vx22UvwhKHdntcGLFD89xt6ak78U37XcHYgUP18pvsTYC4Irfj2O+BnxQH5hYLRpcvBL/8L+j32Mjsce49C/fJl9H/pwvxmgcyViRgjHwr6sNaY4thUmzi/4Nhv3txEzNUumZ667ncCHuu7z6yvYmounvrw++cS/UExaaHnqhVGD1prNB9tZNCV76b2Ta8+YwsSKYh7eaKlFOteuBaDsvPOyXqN0+XJUaSkdGST4//HQFh7dfIRPrZpDUdDgAz97gY6eiKezCoIgCIIw+tAaYlr5cg0Fvjzu1Vo/pZRq9GOtsUDH3/9O2wMPUPOBD9D9wTfz2Ddv49w/vMrB9U8ydflFea3dHe3mQ3//ELvbdnPTvJu4uOFiFtQsoDRU6s/hRyumCce2w5n/UPCtXtnXCsDiBpd4eoDxjYDKz6ivq+AvGw5xsjdKefEA/907DhU2nt5m0kJ44RkwY2C4ZzUXRgYHWrtp74nmFE/vJGAozp9byxPbjmGams5nn6NoxgyKprnXu3diFBdTvvJcTj7+BPr221Fxqeme4538Yt1e3r18OrddPp/z503krT96jp88tYvbLi/8QzxhmKN1mvw+Bym+aw17ezW7Pxcpfv817GEYSvGHoIY9eJfiu9Wwt/u9SPHdatgndvIixXerYQ/epfhuNexBpPjCmCSbePjhyqDF1CulbgFuAZg+fbqva9+76V6umnkVk0on+bpuIdDRKMe+932K5sxm7bWN/MfDb6NyXoglRfDstz/Nih/8klNqvdVIN7XJl9d+mY3HN3Le1PP4xeZf8LNNP6M0WMq3LvoWK6dmHZYx9mg/AJHOQfHUv9J0gsYJpdSUFbkPDBbnXdZufr2VLG/7kQ7OnD7AQ4SOwzBhjue9smbSQoj2wIk9VjJAYcSz+WA8SZ5HTz3ABXMn8sDLB9h8oJWiV1+l/LJLc16j/OJVdDy6mt4tWyhZtAiA76zeTiig+MdL5wJwdmMN15w+mZ88vZubz5nBpIoSz2cWRgnmQFnNySjFT4+xh7EpxR+KcneQjxS//3J3Vr83Kb5buTvIQ4rvUu4O8pDiZ1vuDnKT4mdp2Gecny0ixReEPgxaNgCt9V1a67O01mdNnDjRt3X3d+znzlfv5KY/38ST+570bd1C0fbgXwjv3s3L183nq+u/xrL6Zdz/9r9Qds1VnPV6D1975HOepfO/2/47Htn7CLctvY0fXvpD1rxtDd9f9X0aKhr45JpPsqZpjc9fzSji2DbrdeKCgm6jteblplaWDGRg29TMhOadnvezjfqskuV1HCpskjyb2viDk+PbC7+XMChsOdSBUlYZRa+snGOVd3xx7avE2tooXbIk5zXKL7wAlKJjjSXB33Gkgz+9dpD3ntuYYrx/9vL5RGIm33/M+/8tQRAEQRBGD1b2e8OXaygY8SXtplVM49dv+jV1pXV8cs0nefHwi0N9JFda7r2X2OzpfK3o71w3+zq+f8n3mVg6kRnv+TBFUWh4bg93b7w753V7oj38+LUfs2TSEt57ynsBqCmp4aKGi7jnintYULOAzz/1eba1bPP5KxolHNtqvdYW1lN/sK2HYx29A8fT20xcYBm/pren0Q3jSykKGuw+3uk+MNwFPW2DI7+vjasBju8o/F7CoLDlUDuNE8ooLfLuNZxYUczCyZUcefYFAMZ5MOqDEyYwbvFi2h+0suD/ct1eQgGDj1yQqgiZWVvGW89q4Dcv7ONoR4/nMwujBBPrd6xpokwTYvHa9SltjYqa1mVqVFRjxKzLfq+iGiOqUTHrMqJgxPuMKKiYdRlRjRHBuqLJS0VJ9tv3wgojrFARhRG/VNhAR6wrFjaIhoNEw0F6I0G6wiG6wiG6I0W0h4tpDxdzMlJMW2Qc7dES2qMltETLaIuV0hYrpTVWSmusjNZYGR1mCa1mMa1mMV3aoNM06TRNunSUKDGixIjoaMq3LqSCBAkQJECpClJmGJQZBqXKpNropdropcLooTrQGb+6qIpfNcFOKoM9VAZ7qAp1Ux7qpTzUS2VRL+NCYUqLIpQWRSgORQkWWVegyESFrEsXmZghjRnS6JDGLIpfQTBDyUsHrcu0L/teUKEDoAP2PRW/QAcUOmC91/ZlKMyAddnvtaHQQQNtKAhYlzaM1HbiAm0Y8fuG5Sm3r0DAupSyvOWGSr2vlLVGynvrUsrxUd45D5J7Q0q/cubOUYoU7P2dqMzmgsqUGFUZ/Y7Pan4uZLmPIGRLDOXLNRSMipJ2s6pm8fOrfs5Nf76Jrz73VX537e8oCQ4/SWXvG2/Qu3Urj14/lbqyer6y4iuEjBAAJQsXUjRnNlc3tfGZDT/B1CYfOu1DWX8d92+/n6PdR7njgjsSsaQ2VcVVfG/V93jbg2/jM09+hvuuuY+KIu8etVHJsa1QWgtlBcz8jiW9B1gyUDy9Td0iCJ+EtqZ4jH1uGIZiek0pewYy6tv2W69VDTnvkTPjxkPZRPHUjyL2NHcye2JupewyccHcWsb9dRNGVRVFM2d6WqP21o+y75aPcPjb3+EPPYu56tT6jKEut1wwi1+/0MS9z+7hn68orEJHGMakxdRDDlJ8l3J34F2K71buLrnf8JHiu5a7c67jG8NUiu9S7i650/CR4ruWuwOR4gtjDs3Ijqn35RGXUuo+4DlgvlJqv1Lqg36smwuloVK+eu5X2du+lx+++sPB3j4r2h96CG0ofj/9MB9f/PE+BnvFJZcyeecJrq29iB9v+DHvfOidHO48POC6x7uPc/fGu1lev5yz68/OOKZ2XC3fuPAb7O/Yz1sffCvPH3rel69p1HB8e8Gl9wCvNLVSHDRYMDnLhyqT4vkVjnjPFj+jppSmli73QW37rNfqQTDqAWrniad+lKC1Zk9zJzMm5G/UX7xgEguO76Z99sI+DyezpfyCC6h++9tpvfdevrj6B3zw9/9N9NixPuNm1pZx+aI6frmuic7eaIaVBEEQBEEQRga+GPVa63dqrSdrrUNa62la63v8WDdXlk9ezk1zb+Lezffy+vHXh+II/aK1pu2hh9gzu5yaqbO4bvZ1fcZUXHopxGLcFr6QH136Iw53HubdD7+bN1r7T5TWHe3mk499ku5oN/989j+7nmFp3VLuueIeAirALY/ewmvHXsv76xoVaB0vZzev4Fu90nSC06dVEQpk+V9vUvxBw9FNnvecPsEy6l1LJtpGfdU0z/vkxIQ50CxG/WjgaEcvPRGTxgn5V9g4s0rRcPIYL5bn93Cp7nP/zLaZZ1CpohRt28yhf/u3jD//t1wwm7buCB/95Uu8HFfRCGOQmCW7V6aZmxTf1AWR4qsCSfFPRkaWFL+yqDBSfLNQUvygURgpfroM3y8pfhyR4guCjcTUDys+c9ZnqB1Xy+3P3k4kNnzqEPe8vonI3iYemdvFFY1XEMhQyqvk1FMI1tXRsXo1K6eu5N6r7sXUJrc8cgsHTh7oM/5o11E+8dgn2NS8if86/7+YXzNwPPjSuqX85k2/YULJBL7+/NcxRa4EJ3Zb8eR1pxZ0m95ojNcPtmefJA+guAKqp+ftqe8Kxzh20kUC2bbf+oNYMcXzPjlROw+6mqGzeXD2EwqGna+hsTZ/T33vButB4191LUfbvce6H4sF+PTpN7Prq99j4j9+ipOrH6Pt979Ha43WGrPX+r+wdMZ4vnjVAjYeaOMt//MsWw615/01CCMQrS0JdMxp2JMw7G2DPrXdN8beNu5TjH2HcZ+Mn0+2E4a9bdwPFGMfN+5VJGncq7CRMO5j4aRx3xtJGveZYuxt474lWpYw7lsdxn2HWZIw7ru0kTDuu3Q0YdxnMuxt475UBRPGfakyE8Z9hdHjMO67EsZ9TbAzYdxnirG3jfviUDRh3AeKzIRxr4uSxr12GvdpBnyfGPtg0rC3jfvkPZVo24a9GUyNqe8vxt427pPGu6MdN+xt455AP8b9QDH2GYx7pYykce+ca9NPjL3K0J+ck8Gwz2BE92uY52DY52Xc5/AQQRAyYaJ8uYaCUfeTX1FUwe0rbmfHiR3ct/W+oT5Ogq7n1wGwfi6snJK5tJxSiopLLqFz7TOYXV3MGz+Puy67i55YD+966F3c8McbeNdD7+L2Z27ns09+lhv/fCMbjm3g38/7dy6efnHWZykvKue2s25jU/Mm/rjzj758fSOa3U9ZrzMvKOg2Ww51EI6aLGnIMkmezaRT4OgWz/vasuimZhcJftt+y6APDFKajdq4KkK89SOevc1xo94H+X3vduvnYWflVP706kHP6zy5zZLbX7qojpr3vY9xZ5zBoS9/hR0XXMD2s5exfdly2h95BICPXDibx267kKBh8NsX9+X9NQgjDKeCw9FWzphlZzuWqvhQps7YNhzjVNTRdvQbKf2pxzIctrJytA2Hr8IIK0d/sq0jyY920XDq7/TuSDK/xMlIcaLdHk2GA7bFkqqb1ljy/3WrmRzfmZa8Nd24twmSdGCUOTzC1Y44++pAMudLVSD171RVqDvRrixKziktSn4jgkXJvVUoeS4zlPz+mkWp/25myNEOZu7XAecYx/c34GgHUz+8O9/roOMjtmNOStvxPdFuHnPn+2za/RrXeRobWRrc+Rr3giDkzqj833Vhw4UsrVvKr7b+ipgZG3jCINCzbTud48ehqqs4tbZ/j3DFlVege3roePRRAOaOn8uPLv0Rp088nVnVsygNlvLk/ifZ2rKVpZOW8ttrf5tRyj8Q18y8hsUTF/Pj134s3vrdT1ml3Apcoz2RJC8XTz1YyfKad0DUW6nDGXFZ9F43o7513+BJ7wFqrZrhElc/8tnT3EUooJhclX9y0vCuNwjW1zN3Zh33v7TPPWTEhSe2H6W+soQF9RWoQIDpP72HKf91B2XLllN57ZsonjePA5/5LCeffhqACeXFXLaojj+9epBwdIz/PhyLaJ006G1vPSSl+JCU3zvathFve+uttk4Y9La3Hkh466120qC3vfX2GNsjn7hntyNJg9721gMJbz2Q8NYDCW89kOKtBxLeeiDhrQcS3nog4a0HEt56IOGtt9qZvfWQlOIDCW+91TYTBr3trQcS3nogxVsPJLz1QMJbDyS89UDCWw8kvPVAwlsPqd56SHrrnfestkoY9La33m7bBr3trQdSvPX2e9ugT0jxISnFt9u2EW84DHrbWw+p3npI9biny+qd/XGDOqMUP/E+8wOEAaX46RTAW++6RvYL5DdfGJNoDTGtfLmGglGR/T4TNy+8mU8/8Wme2P8El0y/ZKiPQ++2beyuNTlnyjkEjf6/7aVnn01o+nRaf/d7qq6/HoDTJp7G91d939fzKKV4+4K388Wnv8jLR17mrPqzfF1/xKC1ZdTPujj/J9gD8EpTK5OrSqjP1fiZtAjMqJXMrz73EIFp40sxVNKjmpG2fdCwLOe1PVM9HQLFkgF/FLC3uZOG8aUEs80T4ULvzjconjWLd6+Ywed+t4FndjZz3tzanNaIxEye3n6ca06fnEi2Z5SVUXX99YnfqbH2dva+570c/MIXmbPmMYziYt6ydBoPbTzEmq1HufLUQSjtKAwfYjHLeEq875vFPFNW/JSs5vbDIF+y4vf9WzScs+KXOr6URCZ8RkZW/NR7TnLPip8pS74vWfHtn81YrP8De8mK75zjyH7vZ1b8jBntJSu+MIwZqnh4Pxi5Jx+AixouYnLZZH615VdDfRR0OEzvG2+wozbcr/TeRilF9Y030vXCC4T37i3ouVY1rGJccBx/2fWXgu4zrDm2FTqPFVx6D/DKvhPZ16d3MmmR9XrUW1x9UdBgctU49vaXAd+MQfuBwfXUGwGYMFs89aOA3ce7fImn16ZJ765dFM2ZzXVnTKG2vIh71u7KeZ2X956gozfKRfMn9jsmUFlJ3ec/R6y5mfa/PATA+XNrmVRRzO9e2u/5axBGIJq4eyZmXbbXPh5n75ZAr0+MvU8J9Nxi7PNJoNfZWZLitfcrgd6xWDjFa+9XAr2ZxcdSvPZ+JdCLlhYmgZ5ZZKTG2PuVQM/2xNte+0Ik0LPxOYFevzHykkBPEHxn1P6kB40g71jwDtYfXs+etj1Depbe3bshFqNpomLlVHejHqDqzTeAYdD6+wcKeq7SUCmXzbiMR/Y8Qm/M7yfmI4RBiqc/2NrNvpZuzsxVeg+WVD1QDIe8VyuYMaG0f/n9ySOWEmAwatQ7mTAbmncO7p6Cr2it2dvcmQjxyIfooUPo7m6KZ8+hJBTg5hUzeHzbMd44djKnddZsO0rQUKyc4+7hL12xguK5c2n5+c/RWhMMGFx5aj3P7DxOJCaeHWH04Yw99xNnrLyfOGP7/cSZi8BPnLkTfMVjGNKQrSsIIxSNwtT+NJUnBwAAIABJREFUXEPBqDXqAa6eeTUAq5tWD+k5erdtA6Bo3lwmlU4acHyoro6ylStp/9vfCn00rpl1DR2RDp7c92TB9xqW7HrSkoKPn1HQbdZsPQrARfMH/vfvQyAEk0+HAy973n/GBJda9a12ObtBNurHN0JrU6pcUBhRHDvZS1c45k+SvDes0p3Fs2cBcPOKGRQHDb7/WGY1R08kxrce2cZb/udZrv/BWh7eeIgj7T3837omLpo/iYqSUMZ5Nkopat77Hnq3baPr+ecBWDazhu5IjE0HJQv+mMJ0euf7euv7y4rvWu4uj6z4buXu8smK71buLp+s+NmWu8s1K75bubt8suK7lbvLJyu+a7m7fLLiu5W7yycrvlu5u3yy4mfAj6z4eSFZ8YUsGcnZ70dtTD1AfVk9p9eezqN7H+VDp31oyM7R8vorRAJw2plXZD2nbOW5dD79NJFDhwhNnlywsy2vX86Ekgn8fc/fubzx8oLtMyyJRSxP/Wk3FXyrNVuPMr2mlNkTPRo/U5fCyz+HWNRThvoZE8po6QzT3hOhMt3YGewa9TbjGyHWaykFKgv3My4UDlv94YenvnenZdQXzZ4NQG15MR86fyZ3Pv4G7z23kSXTx9MdjnH/S/vYceQka3ceZ/fxTs6aMZ6TvVE+dd8rnDK1inDM5CtvWpjVnpXXXsuRr99B+0MPU7ZiBcsaawBYv7uZxblWqRBGLlqnBkTH4tHoaXH2zpj6TDH2yXacqGnFVEOfmPpMcfdGImY7PcaeRJ9NSvx2Cs659lhjUGPsIR5DHz96nzj7eH+pIpkV0DQLEGMPEEx83ZqBY+whLRdCCirx75E6V2eMsbfHJf6Nojh+HrL4+YnH3feJsQfrZ9P+Oe3vwIbRJ8YerDj7jDH26XOUSvQrw7Bi7NP6rTn2OvE+lxh7qztNIZBl7HveMfb2XhJjL4xSRv1jq0tnXMrm5s0Z67wPFsc2vsj+Wrho5qVZzylbvhyArvXrC3UsAAJGgEtnXMrTB56mO9o98ITRxP4XINwBswubSLEnEuPZN46zasGkROKunJm6FCJdVg4AD8yosYyujGXt2uIxxINt1Fc3Wq8n9gzuvoJv2DXqZ/pRo37XGwRqagiOT4ao3HrRHCZWFPOlP7zOHX/dysXffILb/7SJBzccpLIkyC8+uIzf3XouD3xsJbMnlvPavlY+efGcRBnHgTCKiyldvpzOdVbJ0UmVJcysLWP97pa8vx5BEARBEEYOGka0/H5Ue+rBMuq/9dK3WL13Ne895b1Dcgb1RhPHZpdxVXX2JdOK58/HqKqic/36RMbmQnHZjMv4zbbfsPbAWi6bcVlB9xpW7HwMVABmXVjQbZ57o5meiMmqBR6k9zZTl1qvB170lAF/uqOs3alTq1Jvtu2DkiooqfR+Pi+Mb7ReW/fCjHMGd2/BF/Y2dxI0FFOrx+W9VnjnGxTHvfQ25cVBvnT1Aj79m9fYcaSDMxqq+e47FrN81oSUcVXjQvz8g8t48LWD/MM5uYXSlJ1zDifXrCG8bx9FDQ0sa6zhb5sOY5oaI1/JpzAC0KleR6drdcCs+FlkNfeUFT/pnU96f/PPim+vavl3C/Dxz+h1ZLYfvlnx7QoBqQ7u/LPiGxlUEn5kxU95n+6tB89Z8bXtsTZUcp7fWfEzeMX9yIqft7cexGMvZGQkZ78f9UZ9Q0UDC2oWsKZpzZAY9R3HDlLeHqZswRk5eWmVYVB69ll0PV9YTz3A0rql1JTU8MieR1KM+nAszIuHXySqo5wy4RQmjJvgssoI5I3HYNrZlkFbQB7beoTSogDLZ9V4X6RmFpRUw4GXYOn7cp5uey73tmQoa9faBFXTvZ/NK9UNgBJP/QhmT3MX08aPy7ucndaa3l27qLzm6j733rxkGqsW1FFRHHQ1susqS/jQ+bNy3rvsXOuBUudzz1lG/cwafvPiPrYf7WBB/SA/6BIGHzv7vZMspfhu5e6S7Tg5SPHdy91BugGarRR/KMrdwfCT4mdb7g5yleL3X+7OHudNiu9S7g48S/Fdy92lz8lFip9luTurW6T4guAXI/dxRA6cP/V8Xjv2GifDuWVR9oMNz1vl4hqX5J5dvWzZciL79xM5UNjQgaARZNX0VTy5/0lO9JwAoKm9iZsfvpmPrP4IH3/s47ztL2+jM+JS53yk0dkMB1+FOYWV3oejJg9vPMzF8ydRHAwMPKE/lLK89R6T5ZUXB5lQVpRZft+808pEP9gEi6FiMpwobOlGoXBYme/zl97Hmpsx29spnjkz4/2qcaGCec2LZs0iOGkSXXEJ/rKZdly9SPAFQRAEYczgk/Re5PcFZMXkFfxk40948ciLXNRw0aDuvffVp6kBFp19Zc5zS5cvA6Bz/QtUv3mqzydL5a3z3sqfd/6ZDz/yYa6edTU/eu1HhIwQd5x/B0EjyGef/Cw/fu3H3HbWbQU9x6Cx5ylAw+xVBd1mzdYjtHSGectZPsSrT10KT38Tek9CcXnO0zOWtYv2Wp7yUwufLDAj4xvFUz9C0Vqz53gXS72UaUwjvNd6sFPU2Jj3WrmilLIk+E89hTZNpo0fR215ERv3tw36WYQhwjRTa3Un+nGV4qcnzgN/pPh9E+fZq9n93qT46YnzYJhL8QcpcR74JcVP9bfbc/KV4qcnzkvslK8UPz1xHvgjxU9PnAfDW4ov3nohjvU7YeSG3Y0Jo37xpMWUBEpYd2jdoBr1Wmu6tm+lZ1yQcfW5G+XFc+diVFTQ/dqrVL/5hgKcMMmiCYv43qrv8ak1n+LbL32b86eez1dWfIXJ5VZW8mcOPMMvNv+C6+dcz+zqIfDq+s3RrYCC+tMKus39L+6nrrKYC+ZOzH+xGefCUybsehwWXpv79AllPL+rObWzZbf1B23C3PzP54XxM6wKBMKIo7kzzMneKI0+JMkL79kDDI1RD1B6zgra/vQnenfsoGT+fBZOrmTzISlrN2bQ2mHopJnFblL8PjH21oR8pfh9Y+ytFfKV4qfH2NurDlsp/iDF2IM/Uvz0GHtrTv5S/PQY++S9OCLFzzw/WyTGXhgljAn5fVGgiKV1S1l3cN2g7ru7fTc1B08SmznFU9ZzZRiUnHoKPRtfL8Dp+rJy6kp+euVPufOSO7nzkjsTBj3APy39J8qKyvjy2i8TMSODcp6C0rzTqk8fLC7YFkc7enhi+zFuPHMaAT+kw43nw7ga2PQHT9On15RyqL2H3mjyIxzN8RrgtdkncfSV8Y3QftBSDBSA7o0bOXH//fTu3FmQ9ccye5utcBw/atSH9+yFYJDQlCl5r+WF0jPPBKD71dcAWDSlkh1HThKOyoc8QRAEQRgriPx+BLBi8gr+30v/jyOdR6grqxuUPdfue5qFx6F6+eme1xh36mk0/+//Yvb2YhQXzgC1OWPiGRn7a0pquH3F7Xzmyc9w94a7uXXxrQU/S0Fp3gkTCmfIRmMmX3pgI1pr3rrUp1JxgSAsug423A+RbgjllnF8xoRStIZ9Ld3MmRSX7///7J13eBzlvf0/s02rXfVuWZJtyZLl3o1tjA3GFBM6CSSQAJcS4IaQAilc8rs3kJDcG7ghuaRAEgwJBEgIvYRminE3li0XWbaaJav3trvSlpnfH6MtklarLbOSHM95nn28nn3nnVfSrjTf95zvOe1DRf1kMfVJMwAJuk9FtLEgSRLNP36QwePHybjvXkwrVmCvraXullsR+/oASPv3fyf9nm8qtHAVJ9uVy6i3nzyJITcXQTc5f5L0ublok5OxlZaSfN21zJuWgN0lUtXWz9xpqlnevzZGut9PASl+wAx792zu46FI8cfOsIcpKMWfhAx7CF+KHyjD3n08HCl+oAx7z5XCkeIHyrCH8KX4gTLsQZXiq5iycEfana44Y4r6NdlrYD/sbtrNFbOjGxHnxpHjn7FyAFLmLQl7DuOiheB0MlheTuxi/wX3ROHCmRdy2anLePLQk1wx+wqy4yaHVYsYkgQdVZC7KmqXePDNMj481spPrlxAfnro/e9jYv5VsP8ZqPhALvBDgLv4quu0eIv6jkqIy5r4ODs3PLF2JyMq6ntefY3uv/0NjdlM7Ve/hmnlSpydnQgaDTOee5au55+n/YkniDt3A7GLwt9kU+HFyQ4LGgFykhUo6mtrMcwILYpOSQiCQOySJdgOHgRgfrb8eShr7A1Y1ItWK0JsbFhKLBVTBPJd3PAKOFgpfsC4O/mEcKT4I3vs3Zc+06T4kxF3B5FI8ceOu5OPhyfFDxR3BxFI8QPE3UEEUvxg4+4gNCl+kIW93/ODhSrFV3Ea44yQ3wMUJheSYcrgo7qPJuyathPHAbk3PlzELpR7vm2HDiuypkhx1+K7cEkuPqz9cLKXEj4sbWDvixpTv+1EG8/uruXr6/P52mqFC5UZ68CUBnuegN6m0E51x9r5muW1V0DaJLH0IPfUQ0RmefbaWpp/+lNMq1ZRuO1TMu67F0dLC/aTJ8l+9FFMK1aQ9eCD6DIyaLz/PxBtNmXWfoZDjrMzYdBF9mdEEkW5qJ+kfno3Yhcvxl5djaunh1lpcRj1moB99bZDh6i+4kq6/vr8BK5ShQoVKlSoUBEtqPL70wAaQcOmvE28XPEyVocVkz5ydikQ+u39mOvlSKRIinpdZia69HQGjkyNoj43IZei5CK21m3lxvk3TvZywkPHUH91FGLcHC6Rh94qY0aqiXsvLFJ8frQ6WH8fvPcA/HoRxCaDzgjrvwdLbvAvGx1CqtmA2aAdXtR3VMC86JowBkRcFuhiZcO+MNH6v79EALIf+QUas5nU224j5dZbcXV3o0uWndm18fFMe/innLrtdhp/eD/TH/ulRzKoIjzIcXZB/B4d7Ifyt6B+H+SuhqKLhilDnM3NSIODGGZOHlMPELtEVkLZDh0m7px1zMlKoKzRf1Hf9eKLNP/0YXQZ6RjnzZ3IZaqIAiRJ9LCToxj7QFL8ABn2EL4Uf6RxnntZZ5wUfxIy7IeWMqWk+OOqPaaYFD+gcR6EL8UPgUVXpfgqwoHE5BXkSuCMKeoBNs3YxPPlz/NZw2dcNPOiqF6rqqeKvDYJV0qCp7AIB4IgYFy4cMow9QCb8jbx+9Lf025rJy02DYBeey9aQYtJZ5r6UlRPUa88U//c7loqW/v5440rIsulD4TVd0HRxbDvTzDYB61l8MbdsP2XkLcG1t4DGcWjThMEgbxUs8fgDEsH2Loml6nXaOTNFXdvf4iwHT5M3/vvk3b33egzvV4ZgiCM+tzFnX02Gd/7Hq2/+AXNDz5Exr3fRZug9kuHA0mSqGm3cOWSMVI9umrhwHNQ+QE0HwHRAdoY+T2bNgfu3A46AzC5cXa+MC5YCBoNtoMHiTtnHfOmJfDO4SYkSRr2O61v61aaH3wI8/pzmP7II+p76F8E7uJFEDXBS/ED9NhDBFL8AHF33kuHLsX3v405daX4AePufOdRDFNUih8g7s57pakjxQ8YdweqFF+FiijhjKKqlmUsI8WYwge1H0T9WlXdVeS2SRhmR84Gxy5aiL2mBlfv1IhY2pi3EQmJT059gsPl4KFdD3H2C2ez+vnVXPvWtTT2N072EgOjoxK0BkjMVXzqf+yvZ2leEpvmZig+9zCkzIKLHobL/w9ueR+uelIulo69CVsugvrP/Z42I8VEbecQU99+Qv53skzy3Eid7d1oCRFtjz2GNjmZlJtvDmp8yr/dTMpNN9L9t79Ref4mLDt3hnXdMx0dFjt9A37i7Hqb4LV/h18vhm2PgN4Ma++GW96DB5rg6j9B+3HY90fPKZ44u0nsqQfQxpmJKSzEduAAIDvg99gcNHTL7RqSy0XP66/TcN/3MC5YQM6vfqUW9CpUqFChQsW/EEQERR6TgTOKqddqtJyfdz5vVb+FzWkjVheae3goqOys4MJ2SLhgQcRzuQ3ybKWlxJ1zTsTzRYqi5CJy43P5VcmveOrwU9T313PdnOvINGXy9JGnuf7t63nqoqembp59RxWk5INGWSa9d8BBWVMv3zq/cGLVChoNLP6y/Og6CX+5Qn7c/hGkzxk2dEaqiY/KW3GJEtqWoajE9Ci0CYSC1NnyZoTT7mFvg4GjoQHLzl2kf/e7aOOCi1UTBIHM++8n8corqf/2t2n5+c+Z9frrqhQ/RFS09AN4DRdBVn08cbasHlnzDTjrTkgasXG26EtQ+gJ8+j+w+CtgSsF+shbBaESXOTGpJIEQd846Op5+Bnt9A0tykgA4WNdF4v6dtP361wxWVGKcN4+c3/4GTWz0/n6omGCIkoeFDEmKP9I4D5SR4gfIsHdfLhwpfiDjPPfrqhQfwpXi++dzFZDiB8iwHz6TPFvQUnx/C1ZCih9shj2oUnwVUwvS6e1+f8bdyV4y6xJsThtvVb8V1eu0VR8lxhFZP70bsYsWgVaLdf9+BVYWOQRB4Acrf8DqaavJjc/l0Q2P8qPVP+L2Rbfz7CXPYhftPFn65GQvc2xEKc5u/8kuJAlWzUpRfO6gkTwT/u2foIuBV26XC2UfzEg1Y3eJNPcOQM2nslohaXIZUtIKQXKFbJZn2b0bgPjzzg35ksa5c0m/5x4GKyrpe//9kM8/01HZ5qeo3/tHsHbALe/KKpKRBb0bFz0sF/47fgXAYFUVhpkzp8TGSvLXvgYaDZ1PP03xtHhMOjA8/CPq7/4mksPJ9Md+ycx/vIQ+I8pKHBUTC0mSi4uhG39JEuUCRhyKu3M/RFF+SCOP+zx3uYa/5hLl4l4U5UJIBET5/4Iogksa8VxCcIryQ5QQnPJD435t6Jhm6CG4JDROhh7e54ILzxiNA58xIDiRj7kf7tfsAoJDfmgcAoJdg2DXIDk0uOzyw2nXMeiQH1a7HpvDQK89hl57DP2OGHocsfQ4Yul1Gul0mul0mulxmej2PMz0iUb6RCPdYgxWSYNV0mARRaySE6vkxIkLh+Qc9iPSCzr0gg4dWkyCDpOgw6zRYBJETIJIkmaQeM0A8ZoBkrQWkrRWkrRWErVWUnQWUnQWEnQDJOptxOkHidMPkmAYJFZvJ1Zvx2RwEKN3EqN3ojM40RpEtAYRQS8iGeSHqJeQhh6iQULUIT/08kPSyQ/R96EHUScg6gQkre9rgue5pBW8Y3QCkkZ+iNrh/5d0Gs9ztAKSRoOk0Qx/rhlqH9Ew9NrQQxC8D61W/lcz9BBGPNzzDDsmIAgaBHcx7XuuG+7f4YL3uKDReH+3CyPGu+fxhaDxFuzDDo9RaPkZ63+YMPYcwU0Q9LVUqJgsnHHv0OWZy5mbMpdny55FjOLOm6OiCgCjAkW9xmzGOHcutpIDEc+lFDbkbuDRDY/yhwv/MMyfoCCpgMvyL2Nr3VZ6BnsmcYVjQHRBZ3VUTPJ213Sg1wosywvfQ0ERJGTDZf8HTaVyr33LUc9LbmOz2rZeqNkG+RtG/5GdaLjl/yFK8C07d6FNT8MwO7wNmoSLL8aQn0/7b3/rZROmOJwO1/iDJgBVrf2YDVqyE43ygcF+2P07KNoM05cHPjljLsy9HPY/gzTQx8DhwxgXzI/+ooOAPjOTxMsuo/vllxFra/l+5T/JPbSb9G9/i/y33iRh8+YpsfmgYjQEQXhEEIRyQRAOCYLwqiAISZO9JhUqVKhQcfrAnVN/urrfn3F3J4IgcNP8m6jpqWF7w/aoXKPX3ktCQzdA2AXHSJiWL8N26BCS3T7+4EnG1YVXYxftUVdDhIWuk+CyQ5rykvO9NZ0szknCqI+SQV4omHsprLkbDr8Ev18LO/4PgLwUuajvq9kPAz2Qf95krlKGe4OlI3izPEkUsezahXnNmrBbHQStlrQ772CwohLLjqnfW9/VbOGZH+xg2wvHJ3spVLb2U5AR5/3el/xZlt+fc29wE6z5Bgz04PjgCVw9PcQuXBS9xYaI1FtvQRoYoPqSSzjr4FZenb0B8y23I+jOqG610xEfAAskSVoEnADuD+ostyTYl3X3vCR6GfyRjL0/tl70Yev9MPYeRn6IrceHoXcz9gxj5MXh7LzLh7F3ehl7weXL2Esexl5w+TD2fth6v4y9XfAw9hofxl5yeBl7p13nYezdbL2bse93eBn7XqfRw9j3uEw+jL3Zw9h3izEext4iih7G3s3W+2PsdWg9jL1Zo/Ew9kmaQQ9jL7P1Fg9b72bs3Wy9m7FPMHgZe5PB4WHsdQYvYy/ovYy9qJc8jL1o8GHs9cMZ+1Fs/RBjL2nxYewFD2MvaQUPYy/5MPYetl7nw9YPMfZovYz9sOc+jL2XzR+DrRfGYOvdjP0Itt7N2Hvgey4Mb1Hx+dssjHHcM4c/xp6Rh8Zg20Ng0SNi68dYl4p/LZzORf0ZeZdy4cwLeWz/YzxX9hzrc9YrPr/bJM+VmYo2Lm78E4JA7LLldP75LwwcO+bpsZ+qmJMyh3mp83il4hWuL75+arnht5XL/6YrG0NltTs5XN/D19fnKzpvRLjoYTj7W/D6N+Djn8H8q8hOykGvFYip2yaPmbVhctcIEJsE5vSQHPAHKypwdXZiXrM2okvHX3wx2od/RvcrLxN3zrqI5oomHHYX7/7hCPYBF4c/bSBlehwL1o/hPD8BqGztZ21BqvwfSZKl93lrIXdlcBPkroLpK7C9/ywgm4FOFcQUFJD71J9w1DdQ1ifyxwoz59d3c1Z+6mQvTUUASJLk20ezG/hi0Cf79stLkk9TsxDYFT9Q3B2E7YofKO4OInHFH/23eCq74gfssR86PlVd8QPF3cmvB++KHyjuznt2GK74wcbdQWiu+AHi7kAZV3y/PfKqK76KMxxnZFGv1+i5cvaV/PHwH4fFsimF6u5qctolDEXK9W2bli0FwLq/JLSi3uWEzipIKZAzzicIV82+iof3PExFdwVFyZNsxOaL1mPyvwqbw5XUduMUpal34x+XAV/4X/jNKnj/AbTX/oWcZBNZHbshcyHEpU/2CmWkFoYkv7fs3AWAec3qiC6rMRhIuPxyul98EWdXV0Txk9HE7teq6GyycOk3FnPo43o+e/EEefNTSEideLO2vgEHzb0DFLj76Wt3QFcNnPvD0CZafRcDb34HISZZEe8RJRF39tkAzLXYkX7yASV1alF/muEW4G9jvSgIwteBrwMYhSGTTd/oOnehIRLYQM/l8jKavojQQE9wuWTW1V/cHYRtoKd1SUha95X8L3c4gjPQc9p16AzOUWeHjSEDPQv2IRaeUXF3nudhGOglaq30uExhLCywgZ5okJUOw74UIjfQkxAQnJL/uDsI30DPbV43XtwdhG+g58coTwkDvYBxd/ILfr6IkUNVAz0Vw3G659SfsTqSzbM2I0oi759U3iSrrrOG6R2QWBy5870buvR09DPysO7bF/xJvU3w58vgt6vgF/nw6SOKrWc8bMzbCMBn9Z9N2DWDQlu5bA4XE6/otJ9VtqHXCiyfMQWLwqQ8WH8vlL0O7z3AdcbdFNgOy/30UwWpBaEV9Tt2YMjPR5+VFfGlk754DZLDQe9bb0c8VzRgH3BybEcTc87KYsaCVNZ/uQhRlKg+0DYp66lqswA+JnkHnoOYBLlPPhQUX4qtKxZjVuyUlbanmA3kp5nZX9s52UtRAQiC8KEgCEf8PK7wGfMAcsnz17HmkSTpD5IkrZAkaYVBMEayoPDPDQRtdOaVotQZpmhB7wNzlPwrwivox8fIgl4pCM4ICs9AkE6zeVWomABIkqDIYzIwNe+kJgAFSQXMTprNeyff4/q51ys6d3fVMfQuMBYpywbHb9pE55ansR05SmwgYymXA/Y/A5/8HBw2OP8/oXYXfPxTmLUe8s5SdF3+kGHKYG7KXLbVb+PWhbdG/XpBo7Uc0osVn/bT422snJlCXMwU/Uid/R3ob4Vdv+FO4IA0hyVr75mkJE0/SCuEA8+CrVuW4weAaLFg3bOH5BtuCOtSFoeFPU17aLY0c17ueUybMwfjggV0/e1Fkm+4XlEjNJdDxOUS0Ru0YffyVe5vxTHoYv45stw+MT2W1OlxVB9sY8mmPMXWGvR6Wn2c7wd64ehrcpyiIbQbZQktA116ktNa5XmMUzPzfcOcdP6yq5YTLX0UZSq7GagiNEiStCnQ64Ig3ARcCpwvSSFUFpLkLdCngBQ/YNwdhC3FDxR3N3K5wzGeFH+S4+6Gjk+2FD9Q3B34I8CDk+IHjLuD8KX4geLu/C04WCl+oLi7oeNhSfGDjbsLMD7o84OFKsVXMYUwRSuQicHmWZt5/MDjNFuayTJHzvi5IVafBCBGIZM8N9LuvJOe19+g+ScPMfOFF/wXH/2t8Px10FgCM8+BSx6FjGJY1S8z9u/cC1//FKUz2v1h3fR1bDmyhZ7BHhJjEqN+vXEhuqD9BBScq+i0TT02ypv7uH+z8psFikGrg0segaxF7Cur4MtHVrBPk8wkhu8Nh9u4sP2E3G8dAJbdu5EcDuLOPTfky7hEF7e+dytHO+REgKeOPMVTFz5Fyk030vi979P/8cfEn39+yPP6Q3/XIC/99z6sPXZMiQauvm85iemhy+WP7WgkOctEVr636M1fksa+d05i7bVjSjAost5gUdnaj14rMCPFBIf/Bk4bLP1qyPMMnDiB5BSJTbZC2Wuw7MYorDZyfHNjIa8eaOA/Xz/CC7evnloeISo8EAThYuAHwAZJkqwhT+AuKAQheCn+yMLefY4vwpDijyulDluKP7LHHkYWoOFI8Seqxx5QXIofPkZL8QP12EP4Unx/hbwSUvxRPfagjBR/ZI/9yHPCleIH6LGXD4cnxY+4x959LbWw/5eA6Oeze7rgjJXfA1w882IA3j/0CR9sOcr2v1fQcLwrojlFScRQL8tiDbNmRbxGX2jj48n83n0MlB6i8+lnRg/oOgl/2iRLzL/0DNz0plzQA8TEycZpzYfh4JiqREWxPmc9LsnFzsYp4izeWQOuQcWZ+m0n5J/3uXNOg+zqZV+jZ9k3cKHL+jSeAAAgAElEQVTlZIdlslfjhftn4vY8CID+Tz5BExeHafmykC/z4vEXOdpxlAfOeoBnNz+LU3Ryy3u3IG1ciz43l/YnniQUgi8Qtr90gkGrk7OuyGfQ6uTzt2tCnqOz0UJzdS9zz84eVkzmL80ACWpKJ16CX9nax8xUMzqtBqo+kk0Os0P/Wdj27wcgdnYOlI7Z/jzpSDEbuO/COeyu7uTNQ02TvRwVY+M3QDzwgSAIBwVBeGKyF6RChQoVKk4fyEEmqvv9aYm8hDzSYtNo2e7EUtOKoBWo2N/CzT8/O2ypbIulhfQOJ47UBDSxyptYJVx+OX0fbqX1kUfQZaSTeNll8gt2K7z4VRjohpveghw/WdHzrpTN0fb+AZZ+Ler55AvTFpIck8y2+m1snrU5qtcKClFyvv/keBtZCUaKMpVJOog23Fn1dR1WluVNEQ+ApBmgN41b1EuiSP8nn2I+Zx2CXh/SJdqsbTx+4HHWZq/lujnXIQgCj298nBveuYE3a9/h0ttvo/k//4u+Dz4g4cILI/lqqD3SQVVJG2ddns+KzTMZsDg4tPUUyy6eQXKWOeh5qg60ggBzzhquJEqdbiYhzUjFvhbmrcueUPa4rLGXlbNS5L9+1Z/ICQphtCz0b9+OYeZM9MuXye75TjvoJlZ1ECy+siqPF/fV8fDbZWwszpi6bTZnMCRJClsaJ4miV/kWghR/lHHeyHN8EZIUPwgpdVhS/OHGefI5kUvxRxrnKY7TRIo/0jhPRuRS/JHGeYAiUvxRxnluRCjFD2ic5z5HleKrUKE4zmimHmBu3AJiatIpPnsaG79WjLXHTlN1T9jznew9SVaXhJCbrdwiLR1Q8iyILgRBIPvRRzCddRaN3/8BdXfcga20FN7+LrQcgWue8l/Qg/zLcsXNMlvfUKLc+saAVqNldfZq9jTtUYz9jAhtbuf7OYpN6XCJbK9s59w56VEvrAaOn6DrhRfoefttHC0tYc+Tm2JCEJg0pr68s5yvv/91Htv/GFXdVfJBjUb+ubQFLuoHjpbhbGsjPgzp/Ts172BxWPjhqh96flaL0hexMG0hL594mYQrriCmsJCG795L14uRMcf73q4hMT2WpRfIPe/LLpyB1qBl39snQ5qn7mgnGXnxoyT2giCw6LxcGk50c2znxLHHXRY7jT0DzM9OkDdgLK1QcF7I84iDg1j37sN8zjmQs0JW0LQcicKKlYFWI/DQFQto6R3k8a3BRy+qOB0g/22SRNErA3ZnywPuPPlhx4du/CVJ9GbZj8yxjyDLXrZSl6/tybYfyrGPJMvem1Pvfe7JsY8gy16wazxZ9i67N8t+0BFZln2faPRk2VsljSfL3io5I8qyj9cM+GTZWz1Z9ik6S0RZ9pLBm2Uv+WbZj8yrDznLHk+WvTvb3pNbH1GWPbiz7NFqFMuyFwSNN8te43OuG+Fm2ftijGz6SLPsxzw/FKhZ9qc1TmejvDP+nVfctgqtqKd4bSYzF6Wh1WmoKmkNe7663jqmdYJpVoEyC5QkeOU2eONu2PFrADQxMeT+7rek3XUXA0eOUnfzzdh3/B02fB8KLwg838JrZUZ0/9PKrG8crMhcQZutjfq++gm5XkC0lkNintyKoBD2VHfSN+DkvOLoSe8lp5PaG2+i5ooraH7wIRrvvY+aq6/B2RVeq4hRr2V6UizVbRNf1IuSyIM7H+Rg20H+UvYXbnnvFqyOofbX9LnyzygAel59FUGvx7x+fcjXLmkpIScuh1mJw9tirim8hqqeKg71lDHj+b9iXruG5h//GMuuXSFfA6CnzUpLTS/z1mWj1cu/Yk0JBhasn07l/lb6OgeCmmfA4qClpoe8+f6j1Badl8P0Ocl89rcTdLeE3kIcDo429gIwb1oiVH8sH8w/N+R5rJ9/jjQwQNw562D6Cvlgw35lFhklLMtL5toVOTy1vYb6ron5fqtQoUKFChUqJgrKSO8nS35/Rhf1kiRhrJhGq7mWnsQWDEYdefNTqCppC1uC09B8ggQbJBYo1Lf9+VNy32rSDPj4Z9B0CACN2Uz6Pd9k5gvPgXOAppIspLXfGX8+YwIsuAaOvAzW6Mc0Lc+UVQOft3we9WuNi+bDkDlP0SnfO9qMUa9hfWH08t5thw5j3buXlFtuoeDDD8l75mlcvb00P/hQ2HPmp8dR3d6v4CqDwxtVb3Ck4wg/Wv0jtly0hc6BTl468ZL8YkYx9DeP+b509fbS/dprJHzhCyHnyUuSxIHWAyzLHN37vXnWZkw6Ey8dfwltfDw5jz+OPjublv/5BZLL5We2wDixtwUEKFyZOez4wg3TQZI4sq0hqHlOHetEkmDGAv9FvaAR2HTzPJDg8CcTs2l2tFFWMc3PTpCl96mFkJgT8jyWz7YjGAyYVq6Uz4/LhPop8DtiHHxzYyFOUeKN0sbJXooKJeGjJJN85cS+CrORx33uETxsvT/GfiRbL40YNwZb72XsRQ9jj0vyMPbe50NsvZuxd3oZ+2EM/hBb72XsJQ9jL7h8GHtfRt6HsR/F1g8x9m623s3YSw4vY++06zyMvdWu9zD2vfYYD2Pf44j1MPadTrOHsXez9W7GvluM8TD2FlH0MPZOXB7G3hd6Qedh7E2CzsPYu9l6N2Mvs/UWD1vvZuwTdAMexj5OP+hh7GP1dg9jH6N3ehh7N1vvZuxFveRh7EWDD2M/gq33y9i72fhhbL3gYevdjL0vOy9qfRh7jQ9jP/TczdC7GXsvW6/xsPUexn4kW+9m7DVjMPbueXxZ/SHG3gPf88B7Dgw7Lmg0XsZeGMnwC/4Zez8Yk20PkkVX2XoVpyPO6Hdde30/jnYNxzJ3cbzzOAAFyzKwdA/SXNMb1pz91bI0M2bmzMgWJ7pg52/g3f+A/PPg9o/BlAJvfmvYjYah8V0yl3ZhbZToeTPInO013wDnIHz44+DGD/TKLQBhID8xn6SYJEpaoy/3Dwi7RXZWn7ZEsSlFUeL9smY2FKUTa4hemoBl+3bQaEj7+u0YcqZjXr2a9Lvvpu/dd+n885/DmjM/zUxNm2VC2yIcooNfl/yaRemLuDT/UpZmLOWsaWex5cgWbE4bZAxtuLT5Z+u7X3kFyWol+auhO63X9NbQNdjFsozRRb1Jb+Kqwqt4u+ZtyjvL0cTEkH7vdxksL6fn9TdCuo4kSZzY20L27CTiU4bnXyekxTJrcTplnzXitI+/WVB3tIMYk46MmWNHvcUlxzBtdiINJyIz+AwWZU29ZCcaSTaIcHJHWCw9gGXHdkwrVsi+I4Igs/UNoRf1AxYHJw+3c3x3E5aeaDhcD0duiolleUm8cVAt6v/l4CO5D1qKL3qLe0Wl+C4xKlJ8TZSk+IIjOlL87ihJ8U2CGBUpvtYgRkWK731NWSm+p5BXpfh+EbEUP8jrqJhaUOX3pymqSloRBGhMP0F5p1xIzFyUhiBAXVl4Rayjtg4Aw4wZ4w8+9hb8cSN89svRRfMb98D7D8j9qtf8CcypcN4DclRd1UfymLbjsPVBEjetwZCfT8/bQRb1GXNh9V1Q8mc4tTfwWEmSI/J+ORfe/39ycRwCBEFgacZS9rdMsrS2+QggwbTFik15qKGHlt5BLpqvXByiP1h27MC4cAHaJG9+e+qttxC3cSMtP/9vmn78YySnM8AMo1GQbsZid9HSG/1CyI2yjjLabe3cOO9GNEN/6O5afJfM1h9/KaADviSKdP31eWKXLSN2wfyQr13SIm8q+WPq3etIikniJ7t/giiJJFxyCcaFC2n//e9D2vhoP9VPd4uVolWZfl9fdF4OAxYHH/+1nKbKbna/VuWXZRdFibqjneTOS0Ezzk3F9DnJdDRYsPbag15nuDja2Mu87ASo/AAcFii+JOQ5nB0dDFZUYj57rffg9GXQUQm24Dcnag6189f/2s3bvz3Eh88c4+8/20dLmJuxoeDyxdmUN/dxoqUv6tdSoUKFChUqVEwMJE5v9/szuqivPtBGdlESMzKmc7xLZupjYnUkZZlprwv9hs0lujA0diAJoM/LCzz42Fvw0k3QVQtbH4Rnr/CyAT31UPoCrLwdvvIimNPk44u/DPHZsP0xGOyDl/4N9CaEK39H/KZNWPfuC77P+tz7IWE6vHt/4HF1u6Bupyxb3/k4bHskuPl9sDxzOaf6TtFqDd+rIGI0lcr/KljUv3e0Ga1G4Pxi/wWcEnD19GA7fJi4s9cNOy7odOQ8/n+k3nYr3S/+jYbv3otkD76oy0+XfQWq2yZOgv95s8zErshc4Tm2PHM5q7JW8fTRpxkwp4Eh3i9Tb9m1C8epUyRff31Y1y5pKSHFmMLMhJl+X0+MSeTeFfdyqO0Qb1W/hSAIJN9wPY5Tp7CVBK8yqSltQxCgYKl/j4XsoiQWb8yl8vNWXnm0hP3v1vLZ3yvoabMNG1d9oA1rr53Zy8b3apg+R25FiDZbb7O7qG7rZ152Ihx5BUxpMDN0bwNbqdxCFLt0qfdgjruvfvzvtcPu4tPnj/PO7w5hTorhim8v4ap7l6HVaXj1lyVYuqO7UfWFRdloBFS2/l8FI/fsQpHijzDOkw9NYSm+M0pS/BHGeUpJ8Uca5yklxR9pnKeUFH+kcZ5SUvzRxnnKSPFHG+cpJMUfwdYrJsX3hSrFV6FiFM7Yd1pno4WuZisFSzOYkzKH8s5yDyOXkRdPa6hF/edbqP/HjWR2unCmJqCJiRl7bN1ueOlmyF4K9xyASx+T+71PbvfMBRKs/ebwX2S6GFh7N5z8DP53LrQehauegIRpxF9wAbhc9H/8SXDrjYmDdd+RJa+BDKq2/wpMqXDzO1B4oZwnLYbWZ+zuq3ezpZOCplK5CElQLpXg4/JWVs5MJtEUWrRaKLDs2g2iiHnd2aNeE7RaMu67j8z7f0jf++9T/+3vBN0Dnp8ux6pVTWBRv69lHwWJBaTGDu8Rv3PxnbTb2vlHxcuyA74fpr77H/9Ak5hI/AWbwrp2SWsJyzKWBUwouCz/MmYnzebF8hcBSLjgAoTY2JAk+HVlnWTMTMAY5/89IQgC664t5Ks/WcP5N8/l2v9YiUYjUPLuSc8YSZI48H4tiemxzFoyvldDRl48eqOWhhPdQa8zHBxr7kWUYFGGDk68C/OuAG3o8VW20lLQ6TDO8/G3yF4GCOMW9S6XyCuP7OfItgaWbMrlSz9YQU5xCtmFSVz89QW4HGLUNzfS42M4e3Yab5Q2To1UDxWRY6SHTrBSfN/xSkrxRxT2SknxR/bYKybFH9Fjr5QUf3SPvTJS/JE99kpJ8Uf22CsmxR/VY6+MFH9kj71iUvyRPfZKSfFH9ti75/FFOFL8IKBK8c8Q+Nl3DfcxGThj32FVB2TWOH9JOsUpxfTZ+2iyyNFQ6XnxWHvswfdo9jXDu/dTXfcpWZ0SWpMNbEM32A4bvHgD/PVL8M734NBL8LevQVIu3PCSbFy3+CsQmwz7/giOAdj/DBRthmQ/Ev5lN8n9p0UXwm1bPW73xgXz0U2bRt+HHwb/TVh0HRjiYN9T/l9vPQYV78GqO8BggsXXQV+jd/MhSBSnFGPUGiltKw3pPEXRVCqz9ArFzrX3D1Le3Mc5UTTIA7n3WBMXR+yiRWOOSbnpJjJ/9CP6P/qItsceC2rerAQjJoOWqglywHeKTg60HGBF1opRr63MWsmKzBVyb31GsbzB5fMb0dnVRf+HW0m8/PLAm2VjoMXSQkN/A0szlgYcJwgCVxdezeH2w1R0VaAxm4nftIned99FHBz/d8FAv4OWk71jutX7Ij7FSPHqaaTnxTNvXTblu5rp7ZDZ+objXbTW9rHkgjwae2z84t1yLINjt1dotBqyC5NoOB7dYvZ4s7zRucS6BxxWWHB1WPPYSksxFhejMfp4DhgTIGUWNB8KeG5VSSvtp/rZ9G/zOPuLhZ50AYC0nDh0MVqaq6Mvwb9scTZ1nVYOnoruRooKFSpUqFChYuIgIijymAyckUW9JElU7GthWkEi5qQYipKLADxmeel5sjS5LVi2/rNfgstB1Tn3MK0L4g298OyVsov39seg/C3obYKDz8vxdA4bfPkFuZAH0MfC0q/JkvznrgFrB5z1df/XiomD27fCF7d4JavIBUn8pk1Ytm9HtARZqBkT5MJ+LCf8g38FjR5W3ib/f84lsjz6UGgZ3jqNjuKUYso6ykI6TzE4BuT8cwWl9zurZA+EdbPTFJtzJCRJon/HDsxrViPoAjOiKV+9gaSvfJmOPz1F39at484tCAKz0sxUt09MUX+s4xhWp9VvUQ9w99K7abO1sUU3AAPdcgvKEHrfeAPJ4SDpi9eEdW23SaNbMRIIl+Zfil6j55WKVwBIvPxyxN7eoBQwp451ggR581NCWt+yi/IQNAKf/PU4gzYnO16uJDbBQNFZmdz791J+90kVP3078GcnZ04y3S3WqErPa9otGHQaUmvfhrgsyFsT8hySy8XAoUP+N6myFsobOgFw6KN6EjNiKVo5uuVFo9WQOSOe5uqekNcVKi6an4VBq1Fd8P+V4MO0ezCeFD9Ahr18KEwpfoAM+0ik+IEy7KeiFD9Qhn0kUvxAGfaRSPEDZdhHJMUPmGEfvhQ/cIb91JPie6C0FD8EFl2V4quYyjgj310tJ3vparYyZ7VscFaUXISAQHmX3MublhsPQPupIIr6ngY5833pDdR3tRI3AOZ110HLUXjmC3JRv/BLcNd2+H4N3Pw23Pq+HN/li5W3yr+o2o7Bxf8DszaE/HXFbdiAZLdjLTkQ/EkrbwPngGya5wtJgqOvy0Z95iHmUR8rS27LXg/ZMG9+2nyOdR7DFaJ0XxG0loHoVLSo31HRToJRx4LpiYrNORL2mhqcjU2YR/TTj4Ws//gP9NnZdL0Y3KZLQXrchPXU72vZBwzvp/fF8szlbJ61mS2dJZzS6YYxtn0fbiVm7lyMc+aEde39LfuJ1cUyJ2X885ONyWzM28ib1W9id9kxr1mNPjubzqefHldqXVfWQYxZR8aMsd3q/SEu2cj6LxdxqqyT53+8m476fjZ+rZhXShvZU9PJwumJvLD3FB+UtYw5R+Ys+X0YcttQCKhu66coRY9Q9ZFskKcJPfFhsLIK0Woldomfz2LWQuiqkf1C/KC5poeWml4WnZcz5o1VZn4iHfX9OIJIF4gEibF6zitO561DTbjCjD9VMUURihTfc47CUvwAPfYRSfEDxN1FIsUPFHcXiRQ/cNxd+FL8QHF3kUjxA8XdTUkpfoC4u6koxQ8Yd+eexxeqFF9FiJBQ3e9PO5Tvakan11C4QmZ7THoTMxJmeJh6g1FHUqaJtrogCp7SF8Blh3PupefkCQD0yzfBV16AzmrQGeHCn8pjdQaYuc5/VnryTPj3PfCtUlh9Z1gycdOypaDTYd07jqO9LzLnybFUe54Ep4/RWkMJ9NTB/KuGj19+M9j7Ye8fQlrb/NT52Jw2anpqQjpPEXhM8saWsIcCSZLYXtnO2oI0tJHu2gaAZbvc5uCvn94fBL2ehEs2Y9m1KyjDxPx0Mw3dNgYc0d9oKWkpYWbCTNJix1Y23LfiPnQaAw+nJiM1yj8zyeXCdvQopuXjs+xj4UDrARanL0anCa7/+wuzvkDPYA+lbaUIOh2pX78dW2kp1l27xjxHkobc6ueO71bvD/PWZbNww3SsPXZmXpTLg59X85+vH2XVrBReunMNxVnx/Pc/R3sNuJE63QxCkBuRYaK63cKF5grZ9b5oc1hz2EoPAhC72E9Rn7lQ/rflqOeQyyXicoq0nerjk78eR2/UUrxm2pjzZ+UnIooSbbUT4YI/nba+QXZXh5eUokKFChUqVKiYSlDG+V51v58gOO0uKva1kL8sHUOs9ybfbZbnRnpuHK11QdwYVnwA05YgJuUxeOoUAIacHJi9CW77EG58DeKDjDxLmw0x8SF9Pb7QmEzELliAdd++0E5c+03oa4LDL3mPlb0qS+/njIisyl0pG+Zt/xUMjJC5ii44+io8exW8eheceM/z0vxUOYbsSMeR0NamBJpKwZgIybMUma62w0pDt42zC6MnvQfo37EDw4wZ8vspSMRv3gxOJ/1BSPDz0+OQJDjZEX0J/rGOY8xPCxxFl2HK4J5l97DDFMvrjdsAGKyqQrJaiV20MKzr9tp7qeiqGDPKzh/cYw+0yoqXxKuvRpeZSfvvfj/mOR0N/Vh77eTNG7+ffiycc10R1//4LB6tbOBwQw83rM7jN19ZilGv5YvLc6hqs9DUY/N7rsGoIynDRPup6CgvHC6Rug4r68R9oDfBrNBd70Hup9cmJflPB8ka+hkPSfB7O2w8+8Aunrj7E/7+8D6sPYNsunkeBuPYmzNZs2SVxET01Z8/NwOzQasW9f8KkMTh/w9Wih8owz4SKX6gDPtIpPgBMuwjkeIHyrCPRIofKMN+KkrxA2XYRyLFD5RhH5EUP0CGfURS/CAz7EOW4g9BleKrUOEfoVsXn+Y4ebgDu805iu0pTinmvZPv0WfvI94QT3peAhWft2LrsxMbb/A/mbUT6vfCOffRYmkhuVNmuvXuIiwrvEIkEphWraJjyxZEiwWN2RzcSQXnQ+YCObJu8ZdlqfrR16BgI8QmjR6/8Ufw5Ho5Dm/1XdDfAtWfwOGXZSO9pDyZ6S99Hr76Csw+nxkJMzDpTBxtP8qVs69U9GseF00HFTXJ21Mj38SvyQ+/gBsPot2Ode8+kq66avzBPjDOm4c+L4/ed/5J0he/GHBsfpr8/qhus1CcFZpkPBR02DpotbUyN2XuuGO/UvwVPvj8t/yPo57VlmaMh+UCz7gwvM/SwdaDSEgszwie6U+MSWR20mxPL77GYCD11lto+dnPsR09Suz80ZsTdUdlT4pQ++l9IWgEqgftVLdb+MUXF3HtilzPa2sL5A2knZUdXLPc/yZPWk4crVFiqOu7bDhFkeKeHZB/HuiN45/kB4PlxzHOm+s/hSAhW/YZaT6M6BL54Kky7ANOVl02C61Ow7x12RjNgZMmYuMNJKbHTkhfvVGv5eP7ziUjIbzvhYopBndh73ujLUrDCwR3AS8ISKLoLS4kyfv3RRS9hYgkyUU3gEaQC3tAEDXDKRX3ZoBmxE2+iHecyyUXTm64huYCJM8grz2ThAZh6OLyc8A5dB2dBobqWw3eJeLEZybcZyGLUgWf4+7NiuGfY9/lDofg/TYA4tAoCfDqxBS+HdUM+YuIorzDAJjkbxZ6wXstz3Np6HWQx3t+Jkr7lMjXc8mXlJeIZtj3feT3dfhrvhCGXpd8XhM8M2tGfN/dP3NxxP/l98Po95OA6PPcuwLJ553hfh8C8vvT5Rp7we73t2+7imbo88DQxpf78ybi/bxpNPI57s+YJHk+e9KI4955heEbc+7P9YgNPEEjIPlroRI0ozf7/MBd2PudIxiMsS4Vk4fTOdTmjNsmqjvaQYxJx/Si5GHH3WZ5J7pkCf202XKPasCYqOqP5Q9i4YVU9VSR0S0hJcShjQ+fbY8UppUrwenEeuBg8CcJghxv13YMXrsLXr0Dek7Bilv8j5+2WJbhH/wrPLFONvfb/Xv5+HXPwT0H4b4TkJgHWx8CSUKr0TI3de7Em+W5HLKcV8F++rLGXswGracojgZsJSVINhvmdcH107shCAIJmzdj2bNnXAm+O9Yu2n31bgVMcUrxOCNBI2j4Sc7FOJD4Q8nj2EoPoUlIwDDDTxJEEChpKUEn6FiYHtqmwNKMpZS2lno8IBIuuwx0Ovrefdfv+LqyDlKnx2FODN2d3xf/2F9PrF7LJQtHbDpmxZNs0nsMGv0hLTeO3vYBBq2OiNbgD9Vt/cwV6jANNMOci8OaQ3K5GKyqIqawyP8AQfCY5ZW8V0dzdQ/n3VDMyi/MYtlFM8Yt6N3Iyk+kuaZ3QuLm1IJehQoVKlSo+NfB6dxTf0Yx9ZIkcepYJzlzkkf1vboLjvLOcpZnLidjhpz9XF/eyezlGf4nrPgAYlNg+jKqjj1HRjchSaWjAdOypaDVYt23j7gge7EBWPhF2aTqo6H+/wt+Evjm/bJfyxsBp/ZCXIacM230YXs1WjjvfnmToOx1mH8lC1IX8EL5CzhEB3pN9LLdh6H1mOx5MG2JYlMea+qjeFpCWL3TwcKyfTvodJhWrQr53Lh1Z9Px5JMMHDpE3IaxDRdNBh3TEo1Rj7ULpagHyM1bx+ajT/PWyXe5/lAOsQsWDJfbBQmX6OL92vdZlL6IWF1sSOcuzVjKSydeorK7kjkpc9AlJ2NevZref75L+ne/O4xptg84aarsYfH5uQFmHB8DDhdvlTayeUEWcTHDfzVrNAJrClLZVdWOJEl+mW6PwWd9/6hNy0hR027hXM2QN0XhRWHN4aivRxoYIKaocOxBmQuR9j1FWW0DefNSKPTjcj8esvITOL6nmb6OARLSQvu5q1CBJI5m62E0Yz/E1sOQHNiHxR/GvHvk+d45JEn0sJOjGHt/bL17nGuI1x7B2Puy875c70jG1fMVOEWZnYVR7Lw/Bl/jw/4OZ929DL6/5Q6HL9PvHuvl/OWvLAq3pJpBn5+H08PWgx/Gfui4ScDD7ss/k2ikiug8KgUJr3phmHLCD2Pvn88VPN/J4Uy/96c+TEXhHP1/7/thHLXH0GzDGHx/bH2gBbuZd98vDJmxd6tZZKbdvRBp+DmC4PlcCRqNtx3G57hnDhjN2Pth68EP2x4Ciz4m4x8sglQGqFARCGdUUd/TaqO/a5Dlm0dLZNNj00kxpnjM8jRaDdOLkjlVPgbbKYpyUT97E2i01PTUcG6vBmNReIyiUtCYzRgXzA+9rx5g/fcgfprsbH/WHeOPT54pP8bCouvk3vttj8pFffoC7GV2yjrKWJyuHHMeEB6TPGWKekmSONbcyxVLshWZbyz079iJaelStHGhqwGM8+aBIGA7fCRgUQ8yWz8RTH22OZvEmCCTArIW8eXeft4xmrGfqCDhjkyK1NEAACAASURBVI1hXXdr3VZO9Z3iO8u/E/K5vn31btf8hM0X0/TAjxg4WkbsAq8Ev+F4F6JLCiqfPuB6j7XSN+gcU16/tiCNdw43c7LDyiw/KpG0HDmKs/2U8kV9VZuFK/VH5Dad+NALbYDBigoAYgoDFPVZC+kcSKevY5DlF88M6zqZ+fL7rLm6Ry3qVYwLv7fhwUrxBXcxoLAU398mpgJS/GGFmKJS/NGbjFNZim/y+VLOZCm+P2m+IlJ893tTaSm+7zmqFF9FFCDblkwOy64Ezqii/tQxue81p3j0Da8gCBSnFHO43ZuTnFOczMlD7fS220bfHDYdAGs7FF4AQFnbEa7pFjHkTi5TD7KzdPdL/0ByuRC0IcZOLf2qcgvRaGHV7fDOfdB0iNVZqxEQ2NmwcwKL+oNgiIeUfEWmq++y0TfgZO606PWgO9vbGTx2jPTvhF6MgryxYyjIZ+DI+KaE+WlxvHagYUz2VwmUd5YHzdIDYE5jfkwa57caEURLWP30kiTx9JGnyYvPY2Nu6JsC2eZsMkwZlLSW8OXiLwMQf/75NP3Xj+l795/Divq6sk50MVqmFUQWb7j1WAtJJj2rx/BqWFsgH99Z1e63qDcnxmBKMETFAb+htZ1llEP+nWHP4SnqCwrGHpS9lJODKwGYuTA8I8rUbDO6GC3N1b0UrQrSpFTFGQ1JlPybXo3H2o/osQeFWHuXy2su5osIWXvB5ZIN0BRm7bUuCUnrvpL/5Q5HcKy9065DZ3COOjtsDLH2FuxDhngoytonaq30uExhLCwway8aZNPBYV8KkbP2EgKCU1KetXcz5iprHx5U1n5SMVnO9UrgjOqpP3Wsk/hUI4np/tmb1dNWU9ldSbOlGYDcYpnRrz/uh62v+AAQoOB8uge6aakrR+eSvCZ5k4jY+fORbDbs1dWTvRRYcA1oDVD6AknGJBakLWB74/aJu35TqdxPH4Z82x+ONclGZNEs6i07dwJgPjuE9okRiF2wENuRI+P2Feenm+kbdNLWHw15IVgdVmp7aylODaGoB5i2iC/UycaTB5JDMz3rtffy+IHHOdJxhBvn3Yg2jDx1QRBYnL6Yw23eTT5tUhLmNWvoff+DYWObKruZVpCIVhf+e0wUJT450caGovQxYxJnpZmZlmgct6++rV555UVS2+focULBeWHPMVhRiT4nJ7CBZ1ohtfZVpCf2YE4Kz59Ao9WQOTN+QszyVKiICqK0wYo2OvNKof+KDQqKFvQ+MCt0PzAS4RX042NkQa8UBGeUfEei5WdyOjuYqVAxAThjinpRlGg40U1ucfKYjOS66bIp2Y6GHQAkTzNhSjR4GP5hqHgfclaAOZV9LfvIHPLT0+dE1lerBIxD7ty2I0fHGTkBMKVA0cVw6O/gcrA2ey1H2o/QMzgBN9wuJzQfUdQk71hTH4IgG5dFC/3bt6NNTsY4b3y3+LFgXLAAV3s7zubmgOMK0mXJdnWU+uqPdx1HQgrK+X4YshYx+1QPllgNv6r9s8ewbjz0DPZw5WtX8sfDf+SCGRdwxewrwli1jDnJc6jvr8fi8H5v4s7dgKOuDvvJk4DcT9/RaPFEqYWL0vpuOi12NhaP4d+BvNEg99V3II7BAqTlxtPVaMHlUG6X3zLoZOFgCU7BAHlrw55nsKIisPQesFldNNsLmWk6FPZ1ALJmJdJR34/DHtz7RoUKSZT8s2uSOJo1CybubsRxRh73ic2TJNEbeTde3J37XE+83ei4O3fknUzzElzcnTvyzumNvBsWgecTeeeOsgsm7s4deTcq7m4o8k5weCPvBLvGE3k3XtydO/KuxxHribzrdJo9kXfdPpF3faLRE3kXStydO/LOJOg8kXcmQfRE3sVrBnwi7wLH3bkj72L1dk/kXYze6Ym80xpET+SdZPBG3o0Xd+c38m4o3s4bd4cn7s4deTdu3J078m7ouTvizh1553k+FHfnjrwbN+7OX+Sde54RkXeCoPFG3o0Xdzd0XNBovK0wvuPdiCTuLsD4oM8PFiFE66lQFv5+5YbzmAycMe+Y3jYbdpuTrAAS2dlJs8kyZ/FZw2eAfBM9vSiZ5qoRBWh/mxzZVnghAHub9jK9TzZ+M+RMj84XEAIMs2YhmEwMHJ0CRT3AkuvlVoWK91k3fR2iJLK7aXf0r9t+Apw2yFbSJK+XmalmTIbodK5IkoRl5y7Ma9eGZQ7nRuzCBQDYDh8OOM7rgB+lon7IoyIk+T1A1kIcPVq0M7Ko7KninZp3gjrt2bJnabO1seWiLfzy3F9i1IXvTu5OxKjsrvQci1u/HoD+bdsAaK3tA8nbxx0uPi5vRSPAhqL0gOPWFqTRabFzvMW/xD4tJw5RlOhsUu7nWdthZZ3mMF1py8AQHhMl2e0M1tSMW9TXl3choWGG6105uSJMZOUnIooSbVGK+FPxr4sxZbPBFPZDd3KSKEaWZT+ysFcoy17wKe6HP480yx5Pce/JtvdT2IeaZe+ye4v7QYe3uLc5DBFl2Vsljae4t0pOT3HvkJwRZtlbPcV9is7iKe4T9baIsuwl3+J+ZF59BFn2nuLfp5D3FPYRZNmjHaO4982oDyfL3ndTwI0xMutDyrIfo4AWNEJEWfZjnh8K1MJ+wnE6u9+fMe+WrhYrAMlZY0s/BUHgnOnnsKtxF46hG8qMGfH0dw1i6fGRJ1dtBSRPP/3e5r0scmSCIKDLjq6BWjAQtFqMxcVTp6ifvQkScmD7YyxInU+8Pt6jhogqmoZi/ZRk6pt7mTsteiy9vbISV3s75rVrIponprgYdDoGxlFrZCfGYtRrIjbLG0vmX9FVQbw+nkxTaOZqUtZCBnv0ZE3PYG7KXH578Leez+RY6B7o5rljz3HBjAtYmbUypOv5Q1HK8JhLAENuLoZZs+jfJm/8tdTIG36ZMyNj6j8+3sayvGSSTIaA47x99f4l+OkeB3zl+uq7K3YyV3MKZ/4FYc9hr60Fp5OYwtkBx3U09KPRSKQJJ+TkijCROaScaK5Wi3oVKlSoUKFCxfiQUKagV4v6KKNriLlKzgrMNK2bvg6r00pJawkAGTPkm8O2Wp+b5MoPwZwBWYtps7ZR3VNNgSUOXVYWGkPgm/KJgnH+fAbKy5FcU0B+qtXD+vugfh+6qo85a9pZE8PUN5WC3gypgQuJYNE74KC2w8rcrCj20w+lFphWRlaUamJiiCkqxHY4sIxZoxGYmWqmuj08ZnewpobGH/yQ48tX0Pzwz4ZLT4GK7goKkwtDNuFzDhoRHRqMCYPcs+weGvob+EfFPwKe88zRZ7A6rNy1+K6Qvw5/yDZnY9abOdF5YtjxuPXrse7di2iz0VzdS1KmKegMdX+o7bBwuKGHjXPHlt571pQUy6w0Mzsr2/2+npgeiz5GS9sp5frq8w7+L+1SAua1t4Q9R1DO90Bno4XEVANawQmNB8K+Xmy8gcT0WLWvXsX48LMhGbQUX5T8M/ae4eFJ8Yex8IpK8cUoSfGlqEjxJUd0pPjdYkxUpPgyW6+8FF/US1GR4ktaISpSfO9rykrxPVCl+CpU+MUZ8y7parFiSjAQYwp887162mpMOhMvlL8AQHpePIIALb4yztpdMHMdaDR8Uv8JAGndLgzTJ19670bsgilklgeyq37SDPj4p6zIWEaTpYnG/sboXrPxIGQtlF34FcDBOtk4YWmesnFhvrB9/jm6zEz0uZF7M5iWr8BWcgBxYCDguNkZcZwYQ849Hpp+eD99H3xA7MKFdD37LE0/+n8e1l6SJCq7KilMDlzI+cNgpSx5jzG0cnb22SzPXM6TpU9idVj9r6O/ieeOPccl+ZeEdT1/EASBouSiYUw9gHn9OUh2O/27d9NystfDCoeLF/edQiPA1UuDM9lcU5DKnppOnC5x1GuCRiAtJ045B/zqT8jp2sszmqtJSBwdBRosBioqQKvFMGtWwHGdTRZScpPAmAiNJWFfD2QJfnN1z7hmkSpUjOU0PVlS/IA99hFI8Uf22CslxR/ZY6+UFH9kj71SUvyRPfZKSfFH9tgrJcUf2WOvnBSfKEnxiYoUf1SPvVJSfF+oUvwzHpJCj8nAGfMO6WqyjMvSA5j0Jm5ZcAtb67byefPn6GO0JE8z03py6Ca5txF66yF3FTanjSdKn2B+6nz0LV1TwvneDY9Z3lSR4Gv1sPFH0FTK8mPvAbC/ZX/0rie6oPmwov30+2u70AiwODey/umxIEkSln37MK1cqUi8XNz69UiDg1j37g04bu60hKGovtB6mB3NzdhKS0m94w7ynnma1DvuoOeVV+j/9FMAWqwt9Dn6mJ0UulJi8MQQsytWIUgi3172bToGOthyZIvf8b8q+RUA31r6rZCvFQhFyUVUdFUMKwxNK1ci6PW07zqErdcekUmewyXy0uf1bCzOJCsxuP7/tQWp9A86KWvyLy1Py4mjvb4/skgdAMcAvHs/7dp09qReGdFUgxUVGGbMQBMztqO90+6ip81GyjQzZC+F+sh+P2TlJ2Drc9DbHnhTS4UKFSpUqFChAkntqZ/ykCSJ7hZrwH56X9w4/0YyTBk8+vmjOEQHGTMTaK3tlW/sTw0VSDmr+PPRP9NqbeV7i76Fs6UF/RTIqHfDa5ZXNtlL8WLRtXDejyg88ibxaNjfGEUJfkclOCyK9tOX1HUxJyuBeGP4UutAcNTW4mprj1h674Zp1UoEo5H+T7cFHOf2CChvDo3d7ftwKwDxF2xCEATS7/4GuowMuv7yLODtRQ+Lqa+oQJccj1ZrhfYKlmQs4dL8S3nq8FMe8z03djbu5J2ad7hx3o1Mi5sW8rUCoSi5iD5HnyfmEkBjMGAoKKBlaKMvc1b4mzxbj7XQ3j/IV1YFr8xwK0UOnur2+3paXjyOARe9Hbaw1wXAxw9Daxn/rbmD6WlJEU0VjPN9V7MVJEjJjoOZ50DLYehvDfuabvNCVYKvIij4c7lnHCm+L5SU4nv+q6wUf6RxnlJS/NHGecpI8Uca5yknxTdHRYo/2jhPGSn+SOM85aT4QlSk+CON8xST4o80zgNlpPgjjfPkE/CHKSHFV6FiDJwR7w5rr51Bq5OkIJh6gFhdLPcuv5ejHUf5xoffIHG6gYF+B30dA1C/D3RGSnWw5cgWLphxAQucWQAYphBT7zHLO3JkspcyHBu+h/ain7PUamF/xRvQURWd6zS6TfKUYepdosSBum5WzIie9N7bT79Ckfk0MTGYzzqL/m3bAkqQi4c8AsrHYH7HQt+HH2IoKCAmPx8AQa8n+YYbsOzcyWBFhcc1PiymvqKCmIIhqXarrDb5wcofkBCTwAPbH2Bf8z46bB18cuoTvvXRt5idNJvbFt4W8nXGg9sBf6QE3ziniPYuDTq9hpTpwW0W+sOrBxrITIgZ1/XeF9mJRjLiYzhQN0ZRnyPHFLZH0lffeAB2Po5r6U283D+PvNTwv0bRZsNRd2r8fvoh35OUaWaYfb58sOrjsK+bmm1GF6OlRS3qVYSCUKT4wcbdhSrFDzbuLlQpfoC4u0ik+IHi7iKR4geKu4tEih8o7i4SKX6guLtIpPiB4u4ikeIHiruLRIofMO5OleJHLsVXe+yji9NYf39GvCu6m+U+3JQgmXqAS/Iv4aG1D7GveR//W/dTALbu38n/NWzlqewC7vzobtJi0/jhqh/iaKgHUKQPWklMKbM8X6z5d5bPv56TWmh//a7hrIVSaCoFXSykFSky3fHmPvoHnSyPYlFv3bMXbVrauH3HocC8YT2OU6c8uer+MC3RSGKsnrKm4Jl6Z1cX1n37iL9g07DjSdd+CSEmho4/PUVFVwWZpkwSY0JjsiWXi8GqKmLmLwZBCy2y2iTJmMR/rfkvqnuqueW9Wzj37+fyzY++SW5CLk9d9BQmfXhxa4Hg3pAYWdTHFM2hW5dB2vRYtNrwfo1KksTnJ7s4e3YauhDmEASBpXlJYzL1KdlmNFqBlpoInN9PyC0ydcu+jyTBzNTwv7eD1dUgSUGZ5Gm0AomZsZC1GExpQ0kj4UGj1ZA5M57mSL4PKlSoUKFChYozBhMpvxcE4WJBEI4LglApCMIPxxhzrSAIZYIgHBUE4flA80UnbHuKoatZZoCCZerduKrwKnLjc3lox09wCU7e3vMJe2bIc+Uac9ly0RYyTBl0nvoQAP30qcPUAxjnz0N6VjbLG++GeqKxfO41UPMqJe2HuPDIy7Dwi8peoPkQZM4HrTJv8f11XQBRK+pFm43+jz4ifvPFivTTuxG3fj0tQP+nnxIzxmaBIAgUZ8VzLASm3rJ9O7hcxJ8/vKjXJSeT/NUb6HxqCznWdLqvmB/ymgdPnEAaGMC4YCHUFUKL1xdiY95Gtl23jT3Ne2ixtBBviGdD7gYSDNFJJIgzxDE9bvqool5XUEjfHiu5cfaw567rtNJhsbMsDOPFJbnJvHe0hS6LnWTz8MQNnV5LVn4iDSe6wl4b9fsgvZgai9xqMiOSoj5Y5/smC0mZJu8mScF5UPWRzEZqwts4yZqVSMn7dTgGXehjlDHMVHEGwM2+j2DD3Gz9KJZNEoePdbP1vuMk6f+z9+bxkZz1ue+3elNL6ta+q6WRNNpns8cz430Z7xhjs9jG4AAJAUNySQ4HzgnJDeRkOYSbmwucJEBiAgEcsMEmGAwYe7x7xvbstmfTjDSSRvu+9abe6/5R6r271N1VLWnG/Xw++oxU/dZbr3rR1PP+nt/zhCqDYiAQrhhGHA+910MV/PAcohhACAQrkxHXTvb5CESM8/ulimgQ/gDBlYloVgaDEPoZBAIR3wO+ledEpwFfeBkBiP8Z0KzMRmi24HExOGPS5YYhxD0WWJkBQCpXZOE2VuMOKyc0PgrCTxZ6IXy90Pci0hjNyhMRCEhzqA4dwRKNiPRcQPTzHvvchp+3WAihZzL86kszaxI87/giX1tCr7n0foh+/wRf7fBM0mxR76dIo9fge9PvT75gjSa6VSWopA9oJCULSJ+V4BBRDH8uAoHwZ0wUQ589MXg8srAU/MxGKm4ETUIFj6AREit4koxP+fxUkeJ1ctiYEARBC3wbuA0YBY4IgvC0KIpnIsa0AX8BXCuK4oIgCLIxSe8SUu9El6fFVJrcpCkZdtXs4ufvf5IfnniV67mOfx38NrYP/Bvmbfeh10g3vN7RMQSDAV1lhdpLV4T8rVsBySxvo5H67vJuDBoD75RbuH3fV6DzvaDPV2dyUZRM8rYoM/eKxPGhBSrNeVhKVVpjDGwvvkTA6aT4nntVnddgsZDX1ob9hRcp//3fTzquq7aInx0ZIRAQ0aQgC1s+eRIhPx9jd1fcY1Vf+ALeuTlu/uWvKG8R4dYEE8jAeUxyPS+44gpwb4GRI1GPmwwmbmm8Jb1JFSCRA769qAFRM0CpdyrjeY+vbBRlQuovb5R63N8eXWRvR/zf+PqOUo7+dhCXw5t+3J4owtgx6LyboTlJ5bRJgfze3deHYDBgaJRXMs2P20MRogBsvgVOPin11mfojVHTUowYEJkeslLfnj2VTQ6XKGLJeuiwmJjYQzy5jyX2AIIQkuELkSReEKJJuihGMCkhRF6EgCae2EM8uY9kYQmIPUQTeQjEULsE5MwXkIgcgC+GUPqiOZkmYrZogh4m+8mWGw0h6rEgmRWBsA5R5dvZICkPBEJkvSBinyKO3AeJPUjjQ6+J2uReuq4/vBQCaGK4cPz/4dHEPwhh5TExZlNAXDkuJCTysWQ//H4IyG8MJXo/xZL7oLI00YIjSXrELxbc7BLFQAQpJ/y5itwQiCDxgkYTJvYQT+5jiT3Ekejg34E4cp4GsU94fqpIsq4cMscaBubsAc6LojgAIAjCT4F7gUgztE8D3xZFcUFamyhrNPSukN/PTzgorS7IuAJq0Bro6GjEM6NHJwqUtewNEXoA7+goeosluldnA2BDmuWtQK/R01nWyekyC9jGoe959Sa3joNrEaq3qjZl75SNrtoiVavokVh6+lfo6mpV66ePhPm2W3EeP45vfj7pmO7aIpa9fobmE0fGxcJ16jTGri4EbXz1U9BqsX/x4wxXQMdrQ2mvd/n4MXS1tejr6iS1xdIwuNavL7q9tJ0L1gu4/eGbs9kF6fc2z/RkPO9bw4sUGrR01JjTPne7pRiNQNK+ektHKaII432JH5fF/AAsL4BlF0NzTgoNWspj1ADpwN3Xh2HzZgRd8ptur8ePdc5FWV3E5sHmm6V/e/dlfO3qFmmTQJFZnihKa3jsw+r+ncohhxxyyCGHHDYMRFSV31cIgnA04uvhmMvVAyMRP4+uHItEO9AuCMLrgiAcFAThTrn1X/KVeqlKY6Ntl6xiYVVUNZk59ZqWRfPVlJproh7zjI6gt2ycjPogQmZ5GyXWLgZbKrbwq/O/wl9Qgfb0U9B9jzoTT62YA6pE6kVRZHDWwe6mzHO65eCbncXx+huU/+EfZmVjyHzrrcx+51+xv/QSJfclbnPoXHHA75mw0lwhX5UVfT5cPT2U3J+8ZeLsUi9Ht2p46JULeEZHUzaRFEUR57HjUpUeoGpFvj/dA41XpTSH2mgvbScgBuhf7Ke7vBuAqQtWjAEHQn/mRpTHhxfY0VCCNgPDnAKDjo6aIt4aTiyxr24uQmfQMHpugZbLUjfhA2D0qPRv/S4G33GwqbxQ0WaWu+88BbvkN6sWJhwgrpjkBWGuhsarpWr9Df8j3tQoBeSbDBRX5TM5oKCv/pd/DO88BgiSAefnjoAxO+0eOWxAyEjxE5pdqSHFj6y8qynFD1ZBVZbiR1WJ381S/JXFvNul+KuqPTaYFF9MUMUPzQGZS/HTqKLnpPiXJGZFUZS7+Ul0UxP7JtABbcBNgAXYLwjCVlEUE1ZsNlZpOQtYmlnGs+yjqknZTVhVg3SzOV0YL/v1jo5tKOf7SBi3bMHV07PxzPKALeVbcPqcDLXfLBlzeVKrEq+KEKnvVmW6aZsbp8dPS2XmEmQ52J5/Hvx+it93d1bmz+vqQl9Xh+35F5KOaa82IwiSImE1uAcGEJeXQ+0diXBm7gxvbZP6sK2/fSbltfrGx/FNTZF/xU7pQPUKqZ9avxSHYCRf30Jf6NjU4BLlhS7cvX3RUVUpwunx0TNhC8noM8H1bRW82T/HtDU+h12r01DXWsLYuQz66seOgr4Qqro4P22nrdqU8RoDTie+iQnyNrfIjgs539fFfMa2PwCz5yTjywxR01LM1OCSbAJEUpz7nUTor/4cfPJZsE/Bq/+Q8VpyuIiRbtydElf80DmB6PFKXfFl4u4UueLLxN0pccWXi7tT4oovH3eXuSu+XNydEld8ubg71Vzx4+LuFLjiy8TdqeaKHxt3p8AVXzbuLjhPJDJxxU8BOVf8DQAREAV1vlbHKBDZl2gBxhOM+ZUoil5RFAeBc0gkPyEu+Vd/6oJUoalWSOpLxT50gotpMZoo+peWCFit6C0NBPwB3nyqn33fO8XzPzjNiz86w8DbM4quqxT5O3YgLi/jPHZsXdeRCFvKJcJ2urpdypQ/r5K0dfIUlDSCMfP88EgMzkqEY7UKdqaw7z+A3mLB0Jp+9FsqEAQB82234njjDfx2R8IxRr2WarORkfnVs82D7RzGLclN8Hrmeqho6SZ/506sv/lNymt1Ho/opwcotkBeccgBfz3QaG4kT5sX6qt3Wj1YZ11UWfIRl5fxjoysMkM8Towu4Q+IGfXTB/GRPY34AiJPHE18/fqOUubHHTiW0qwSjR6B+p04vCJji8u0VWVO6r2Tk8DqJqLz4w40OoHiyhjPii0fAK0BTvws4zXUtBSzbPNinY3f/JCFywq//SJUdcMt/0tSiuz8OBz8Vxh4NeP15JBDDjnkkEMOGxOx+6GZfqWAI0CbIAjNgiAYgAeBp2PG/BLYCyAIQgWSHH8g2YTvClKvy9NSWquMkGmGD1CpG2B6Kfom3DO6Emdnqeet54c5/twQU0M2JvuXGDwxy77vn8axmA3pVWow33IzmqIiFn+a+U1xttBc3Ey+Lp9TgkeKrzrxhDoTT52C6m3qzEV2Sb3o8eA4eJDC66/LWr8+gGnvXkSvF+eRw0nHNJTlM7KwulrCdeoUmoICDE1NCR/3B/ycWzhHd3k3Re+9C3dfnxRrlgKcx46hMZnCxo6CICkuptavhUSr0dJa0hoi9cGNwtqtdQC4enuTnpsMwaSBbZbMN56aKwq5rrWCxw+P4E9QLWzoktpFRnuSeynEwTkvbYpZdtE/I+Xct1al3/MfhHdM2nTW19XKjgv6nmhio/3yS6Htdjj5c1gak475ffDGt+Bfr5Ok8RcOyM5dk0lffSAAT30WbBNwz7+AbsVT4La/kWIyf/pROPhv8IuHoSf1TascNiZSlr0mqsDLnZ+oWp+oYh8aHlGtT5ZhL0bPEarWJ6rYp5Nhv1KxD1XkA+FrByv0wYp9+PvVM+yFiGp9uGIvhir2gj+iYh9TlZfLsA9W7DURFXvRG67Y+zy6UMXe6dGHKvarZdgvRVTrgxX7xUBeqGLvCARCFXsf/lDFPhKJMuyDFfsSjTtUsZeq9Y5QtT5YsS/SuUIV+9Uy7IMVe0EfrtgH9GKoYh8wRFTs08iwD1fshVDFXtQKoYp9ZHU+oI2o2K+SYR/6PqJiH67mJ6jWByv2aWTYByv2IUSeC+FrQ1RVftUM+0QV+wRQkmGf9Px0kKvWXxQQRdEHfA54DugBnhBF8bQgCH8rCEKwH/k5YE4QhDPAy8D/FEVxLtmcl3xP/fQFK1WN5pQcvWVx4QBVRds4Ne7G7w+EYpe8o9KNpj2/hsM/G2TzzirufFiSJVtnl/nJXx3k2O8ucMNHOpRdP0No8vMpfv+9LDz+U6pnZ9FVbByHfq1GS1dZF6fne2DXH8Br/winfgFbP5j5pN5lmDsP3eo53w/OOjDoNNQVq+987zz+FqLTien661WfOxL5l1+OkJeH8+BBzHv3JhzTUFrAwYGk/pfFUwAAIABJREFUfytCcJ06hbG7O6FJHsAF6wWWfct0l3djqtnBFOA8dIi8FnkJtiiKOA68TsGuXdFzV2+RNnwio5/WGO2l7bw6KlVnpwaWEDQCdVe1MyAIuM/1wm23pTXf+Wk7RUYdlab0Ezki8dCVjfzRT47z0tlpbuuujnqswmIi36xn6PQ8HVfJk+oQjnwfAl7Y/mH6RiRSr0R+751YIfW1q5D6cQc1zUnUVHs+Deeegf+zFSo7wW2DpRGovQzO/lZ6b3z8l9B0XcLTy+pM6PO0TA0s0XFlTcIxcXjpb+Hcb+HOfwBLREtcfil87Bfw/dvh2S9BQTk07Eltzhw2NJLG1SUenLDHPuH5Gbjiy8bdBY8rdcUPHlLDFV8u7g5UccVPQp82lCu+bNwdbDhXfLkee+nxDF3xZeLupO8zdMWX67GHzF3x5eLuiBgPabniK427k6bNueKvOdbO/R5RFJ8Bnok59lcR34vAF1a+VsUlvZ3j9wWYHbEr7qfHbYfhN6ltysfvDTBxPlzx8QwPIQIH33BjMOq44cH20GNFFfl0XlvL6QPjWOdWlzVnC6UPPgheL4tPPrlua0iGLRVbODt/Ft/1XwTLbnj6TyX37Uwx3SP9EatRz/l+YMZBc3mh8o2hBHAc2A96PQV7rlR97kho8vLI33k5jjcPJh1jKStgwurC40v+n4Do8eA6e1ZWen9mTpLKd5V1oW9oQFdTg+NwcoVAEJ7z5/GOjmKK3XSo3gJuq0Tk1gntpe3Mu+aZXZ5l6oKVCouJvGIThsZG3OfOpT1f/4ydzVUmxeqMW7ursZTm8/V95/D5428qGrrLGOmZT35j4LLCXD9YJ8DrgsOPQOttUNVF37QdvVZgU1nmGfXeiQnQatFVJTcq9bh82GKd7yPRchP8yXG47gtQ2iTF2933A3j4Ffhv70BZC/z0IZg4kfB0jUagqqmIsVSTAIYPwoFvws5PwJWfiX+8qA4+9SI8/Cr8j/Ow+1OpzZtDDjnkkEMOOWxgqON8L6bWU686LulK/dyYHb8voLifnpf+DjwOGm+5Cf2pZXoPT2LpkGT43uFhljbtYWLQxg0PtlNQFB39tOs9TfQcGOfsm5PsubtZ2ToyRF5LC4XXXsvMv3wL3+wcVV/8ApqCzG/U1URXWRduv5thxwQt9/0Avn0l7P863PvtzCacXLmxVzHObnDWTquCvmI52PcfoODyy9GastOvH4nCq65m5pvfxDc3h668PO7xhtJ8KaJ8cTlpq4Hz+FuIbjcFe3Ynvc6ZuTMYtUaaipsQBIGCPbtxvPEmoijKkljbK68AYLrpxugHgg74U6clr4R1QEeZpLQ5PXOaqQuEKr55HR0Zkfrz0w72dqTpSp8Aeq2GL7+3i8/++DiPHR7m41c3RT3e2F1O76EpZkZs0RnwIMnZ/+1aKb4OoGwzOGbgmj9ZWaONlgoTulhJfBrwjY+jq66SjbNbmJRaPspqZT5jZc1wy1fij+eXwENPwPfvgH+/GW78M7jhf8YpOpp3VHDgiT7mxuyU18tcx++T+uiLLHDn15IrQ8zV0lcOlxySutrHD0woc1XDFV82wx7UccWPLLUqdMUP/QYJMuxDl1Loih9VGY5CZKU/OHadXPFXLnoxuuIn3srPzBU/8ufYDPvw2Rm44stl2EPmrvhyGfYxx0NzwKqu+LIZ9tIDCX6J2KE5V/wcUsclXak/e1AyaapOJutMBcMH4dAjsOdh9C17aLm8kv7jM/i80h8X94Uh+hvvwlSWR/e1dXGnm8uMlNUVMjW4fjnbAPXf/AalH/kIC489xsw//dO6riUSDWbJ+HHUPgolDbDtQ5IE35VhBNXwIak/v0xe6p0qfP4Aw/NOmivUJ/W+hQXc585ReM01qs+dCIVXS5FwjoOJq/WNKxXZEZmsevtrryHo9RRelTxe7szcGTrKOtBppBubwj178M/O4hkclF2f/eVXMHZ3o6+OIUtVXdK/69hX31XWhYDAmfP9eF3+0N+UvI52PMPDBJypJzcsOb3M2t1sVmmj6I4tNVzbWs7X9/Wy5PRGPRbsqx8+naCv/uWvgsch9Yzf8leS7L7xami+AYC+aTutCqT3AN7xCfS18X8XIzE/nsT5PlWUNsEfvSFFYr78VSkCLwbtu6vRaATOvjkhP9fh70qeHHd+DQzZ32jLYWMiqat9/MCkPfaKXPFDwwMJj2fsip/IzUkFV/y4Hnu1XPFjne9VcsWP7bFXyxVfrsdeiSt+bI+9aq74MT32arnix/XYq+WKH9tjr5YrfmyPfRZc8RMi54q/MSGq9LUOuGRf5fG+BU6+PMq2myyYy4yZTeKYhV98GoobpJteoH1PNZ5lH0On5nDZvZx0dbGkrWT3e5vR6hM/ndUtxUwNWpXttimEtqiImq98maL33c3ikz/Hb1s9umwtYDFLrtijNslwkJ2/D14nnPp5ZhOOHJRcqlXqvR5bXMbrF2nJgkle0EU+f8d21edOBOOWLWjMZpxJSH1DkNTLmOXZX3uVgt270RQmfj58AR898z1sqwgbFRbskXqOnTISfN/CAstvv43pppsSLLwISjatK6k3GUxsKtrE+IBU1a5plgzu8trbQRRxnz+f8lz9sysGdJXqkHpBEPjLu7pZWvby2OHhqMcKigxUNpoZPDEbHek2cQLefkySl+/8OFz/Rfj8SfiD34Eg4PL6GZ53KnK+B0l+v2o//YQDrU5DUazzfTooLIcPfk+S5r/wN5K3RgTyzQY2bSvn3OEpAv4kVQvrBLz899B6K3S9L/O15HDJIC0DvXTOX81ATy7uTomBnt+fFQM9wetPHnenwEBP604ed6fEQM/hMCaNu1NioDfj9ySNu4PMDfSa82aSxt0pMdDzFWTHQC9g0CSPu1NioBck66vF3Skx0AtCZQM92bi7nIHexoHIRS2/vyRfYY/Lx4uPnqWowsjVH9ic2SQ+N/zs98A+DQ/8CPKkm1tLRykFRQZe+MEZ/uPP9jNctpuW8kU6rkpuwFTTXITb6WNxWqUcdgUo+8QnCDidLD6xMfrry43lGLVGqVIPUL9Tks4f+1H6k9mnpX78BvX600PO91nIqHedlkiqsbt7lZHqQNBqKbzqSuz7D5Aos7u6yIheKySNtfOMjuE534/pxhuSXqN/sZ9l3zJbK8LtD6G+epl+fvsrr0IgEN9PH1rclnUl9SD5PyyPQ16BjuIqiYAaOyRZvjsNB/zz0xKpV6tSD9BdV8R1rRX88I3BOE+Ezqtrmb5gZfRsRGb9gW9KkY/XfzF6opUblv4ZO6IIbQqc70W/H+/k5KqkfmHCQUl1gXLPCo0Gbv8qWEfh4HfiHu68qpZlq4fhM0nSAPZ9GfweeM//u26GjDnkkFVk632tzc68YmIvVsXQGXyrD8oAhbEtDiphyZ+ddkmNJzuvm+DLUgErxZywDTNvDjmsMVT5CyQIwp2CIJwTBOG8IAh/rsacmUIURV758Vlss8vc8olu9HkZ/q9w/FEYfhPe/x2JaK5Ao9Vw3f1tbN5ZxY7dZvYc/XuuvS4/5IafCNUrVb20IpWyhPwtWyjYs4f5//xPRK939RMUYt7h4TuvnOeBR97kQN9s3OOCIGAxWxizjQUPSAZVE2/DxDvpXWx4hTQ2Xh06ZJ1bZqRnnrHehYREdjX0Ta0QMJWqqpFwnT6NvrERbXHmsWbpwrT3ZnyTkyGVQCS0GoH6kuSxdvbXJPf3whuSk/qTsycB2F4RVh8IgoD5ttuwPfcc1uf2JTzP+swz6OvrMW5NYsBXvUVKNfCmmTWuIrrLuilcKqfEYgx5A+gtFoSCAlznUif1/TN2DFoNDaXqpin84fXNTFndPHMyWmK+5bo6TKV5HHp6QPoMiCIMvS5FxeWXJpzr7ISk5FHifO+bnQWfD329vPx+YdJBWa1KN63N10PbHVLknc8T9dCmbeXojVounEyQ8DB8UFIHXfd5KM9wIziHSxI5Kf7qUnzZuDsFUny5uDslUny5uDslUvxU4+7SleLLxd0pkeLLxd0pkeLLxt0pkeLLxd0pkeLLxd0pkeIngBpSfEXISfFXx0Usv1fsHiIIghb4NnAbMAocEQThaVEU41nDGuDMgXH6jk5z1ftbqGsryXyis7+F8jbY+qG4h9p2V9O2uxrrc/sYc0ygb5Q37yqtLiCvQMfkoJWua+RvcNcCpb/3EGN/+t9wHDyE6frEMVBq4YtPvM3L52Yw6DT884t9XNcWH6lXb6oPV+oBtt8Pz39Fqtbf/Y3ULzZ8EHRGSYILLNs8PPbXh/B7pZueHTc3cO39rWk5jvdMWKkuyqOs0LD64DThOn0a4/Ztqw9UEaa9N4FGg+2F58lPQKAbygoYTdJTb3v2OfSNjUnz6QFOzZ6iOK841FYRRNUXv4Dr5EnG/+zP0FVWULAzvFHmW1jA8cYblH/yk8lfm+otIPph9lzo9V1rdJV2Mb88h6/UETomaDTktbWmZZbXP22nqaJAkQFdItzYVklrlYnvvHKe926vRb8yv1avYdddTbzyk3MMnZqjyeIA+5RsFNvhwXmK8/XUGw04rZ44A9BU4B1fPc7O5/FjnXOlHrmXCnZ/Cvqek74iZPRanYbazcVMnE/ggn/8Ucgrgms/r946criksKYGejJxd6DAQC/WPC94TiQyMNBb1QAtYwO9SDO24F2ycgO99Yi7g41noBedEBf/3szUQE827i54LAMDvdDPahvoycXdQeYGejJxd9LhGOaXooGe4ri74LVyBnpJcPEq9dS4q9wDnBdFcUAURQ/wU+BeFebNCO+8NEpNSxE7b9+U+SSuJbhwADreIzvMMzQEgGFTk+w4QSNQ3VTE1Aao1AOYbrwRTWEh1ueezep13D4/bw7M8YmrN/GF29o5fGGevqn4Xn6L2cKobTRcSc8vlXLmTz4pGXmlipGDUH8F6CQC0nd0Gr83wB2f3sq2vRbeeWmEV358lkAafwjPTFjprFGYnpAAvoUFvGNj5MtEw2UDutJSCnbtwvbCCwkft5QWMLIQL79ffvttnIcPU/qRj8huipycPcnWiq1xYzRGI5bvfBt9TQ0jn/o0zmPHQo/ZnnsO/H6K7n5v8oVHOuCvEyxiC/qAgfn88ajjxq4uXGfORFfSZNA/48hKmoJGI/ClOzvpnbLz3deiYyE7r6mlqMLI4V8PIo4ckQ7KkPq3zs9yv8fIo3/xBk9+7QgeV/pyVd+EpBjQyZD6xWkniFBao6K8dPPNYKqRPANiUNdWwvy4g2V7RBXf44QzT0PXPWDYGKkgOeSQQw455JBDDulADVJfD0QGSI+uHIuCIAgPC4JwVBCEozMzMypcNh6ORTcLEw5aLqtSJlE5/6LkBN1xl+wwz9AFtBUVKcWRVTcXMTfuyOjmWG1o8vIw7d2L/fkXsirBPzG6hMsb4OrNFdx3hQW9VuDxw/FZ4xaTBafPyaI7ooJ2xSekbPLTv0ztYm6bJNeP6KfvPTxJeb2J1iuquP6BNnbd1cSZ1yd44T9O409mlhUBjy9A/4ydrlr1SX1Q/i6X954tmG+9Fc/5ftwJ3OgbyvKZd3hwuKPfp7Pf/Xe0xcWUPnB/0nmdXifnF89HmeRFQldWRuOjj6Krrmb40w/jOHwYURRZ+s1vMGzeLJnOJUNZC2gNMHM2tV8yC1ielt4zg7roNeRv30HAbsczMJDotCi4fX6G5hxZaecAuK27mru21fBPL/YxMGMPHddqNex+bzMzwzYGj1wAfWF4oyQGE0vLNI37KF3w0XFVDfYFN8d+dyHttYQq9XXJ1UkLE5IqpLRGRc8KrQ52fBh6n5N8NiJQ1yqptybOR2yw9v4OPDbY/oB6a8jhksSaSfFjjfNAFSl+nHGealL8aOM89aT4Ylak+LHGeWpJ8WON89SS4sca56klxY81zlNLih9rnKeWFD/OOE8lKX4IOSl+DnBRy+/VeDUTvavifh1RFL8riuIuURR3VVYqz2dOhNGzkgGSpStxn2jK6H0W8stkK1kA3qFhDKtI74Oo2lQEIsyN2lcfvAYouvMO/EtLOA4ldyRXioP9Uu/qlc1lVJjyuH1LDf91fBSX1x81Ls4BH6S++Ip2eOvHqV2sbx8EfNB+BwBLM06mBq2075Hi0QRB4Mp7Wrj6A5vpOzrN288Py80GSL3PXr9IV23mZmHJsNYmeZEw33oLALbn46v1wVi7obmwBN95/Dj2l16i9OMfS+p6D1KUXUAMJCX1APrqKjY9+iP0tbWMPPwZhj72MZaPHqP4/ffKt0VodVDaDHP9q/16WcPcuB0RkSPu1wlE3IDnX7bS7vHO6h4QQ3NOAmJ2PBqC+Ot7tmDQSu0ukWjfU01JdQGHTtYj1u2UntMEeP3tSbZ6tNRfUcnNH++i65pa3n5+hPmJNFQzSHF2mqIitKbkv+vCpAMEKKlW11+AHR+V2jWOfD/qcNWmIrR6DeN9ERuIJ54Acx00ZbcVKYdLB2vqih/1uBgi8Zm44sv22CtwxZeLu1Piii8bd6fAFV8u7k6JK75c3J0SV3y5uDslrviycXeKXPGTx90pc8Unusc+EbnPwBVfNu4OMnfFj4RM3J0SV3zFcXfBa+UQxruc1I8CDRE/W4DxJGOzipGzCxhNeirqFdwwe11Shaf9TtDIm+x5hoYwbEpN5l9ukdY0u0FIfeF116EpKMCWRQn+wcE5OmvMlK70o3/8qk0sLXv52ZHoan29SRJ2RPXVC4LkZzD8phQtuBp6fg2marBIGzG9h6dAkPwPIrHzjk3UtZVw9s3JVY3zeiasAHRno1J/5syam+QFoa+rI//yy1l6+ldxz0FTuUTah+YciKKI9ZlnGP7kH6Kvr6fsoYdk5z01ewqALeXy6gNdZSWbHv0RhsZG3H3nqf7Klyn/5CdXX3h56/qS+jE7+hKROd8MvQthYzxDUxMas5nld06sOkfQ+T4b8vsgqsxG7t9l4bcnJ5i2ho0FNVoNu26vZd5VzWjebUnPH3hlHBG4+YNtAFz9gc0IWoEz+9P7s+6dnERfkzwVBGBh0klRuRGdXmWb66pOqYVn/9dh8lTosFavoaa5KEzq7dNw/gXYdt+qf+9zyCGHHHLIIYccNirUIPVHgDZBEJoFQTAADwJPqzBvWhBFkdGeeSwdpcp2rd78FrgW4bKPyg7z2+34ZmZSJvWm0jzyCnTMjW0MUq8xGjHt3YstSxJ8jy/AsaEFrmopDx3b01zGrk2lPPJqf1TsVpDUj9nHoifpeA8gSsoJOXhd0LsPOt8b2lEdfGeW2pZizGXGuOEdV9awOOVkZji+vz8SPRNWDDoNzVnIqHf39obi0NYDxffei+d8P64z0X6WTSu/6/yhI1y4/wHGvvBFjF1dND3xM7Ql8saTJ2dPUm+qpzy/XHYcgK68nKafP0nbyy9R9tBDCNoUCFV5ixRZmGLvutqYH3dQZZE2YQ6Oh+P5BI2G/G3bWD6xOqnvXyH1LVmISIzE71/ThC8g8uODQ1HHLWVD6IVlTk13IIpinGpmfsJBwYSb+VoDRaXSZyffbJCIcCKDORn4pqfRVVfLjlmYdFJam6Xn4r3fkPw5nvpMODUhEKC2rYTZERueZZ/Udx/wweW/l5015HDJIq1qfbpS/EioKcUP/aiuFF8uw16JFF8uw16JFF8uw16ZFD95hr0SKb5chr0SKb5chr0yKX7yDHslUnzZDHslUvxUM+zTleKnmGEvHd4AUvwcVqrsgjpf6wDFr6Ioij7gc8BzQA/whCiKa+5mtTDpxLHkwdKpQHpvHYf934DOu6VoJBm4Tq3Ip7ekJp8WBIHyetOGIfUA5jvvwL+4iPPIEdXnPjG6iMsbiCL1giDwf+1tZXzJxS/fDhP4An0B5cbyaPk9QM12KKqHc7+Tv9jAy+B1hJyuXQ4vMyM2GrrLEg7fvLMSjU7g3KFJ2Wl7Jmy0V5tUdykPuFx4hobIa2tTdd50UPSeOxH0epZ+9auo46Y8HXX5Ah2P/D/45ueo+Zu/ofFHP0RXvjpRPzV7KiqffjVoDAY0BWkYk5W3gt8t5ZCvMXxeP4vTy9Q1ltNS3MLByYNRjxt3bMfd20vAmTg5IIj+GTv1JfkUGFR2XY7BpvJCbums4seHhnnp7BRunx+728eTz/yaprzDnDmno+svn6XzK8/yF784GTKPfPLRU3gRabsx2haltnWFCKfhCeKbnkYn02oVCIgsTjkprc6SOV1hOdz7LZg6Bb/4FPS9AP9fK7Xj30cUYXrIKrneN14Nleu3wZbDxYuUe+ylwUnnSDg2G1L8VOPu0pXiy8TdKZHiy8XdKZHiy8XdKZHiy8XdKZHiy8XdKZHiy8XdKZHiy8XdKZHiy8bd5aT4yqX4uR57IPG+ZiZf6wFVXj1RFJ8RRbFdFMXNoih+VY0508V47wKAMlL/8t9LBnm3/+9Vhy6flKpyxq2pk5hyi4m5MYeyGAoVYbr+ejQFBViffU71ud8alqp6u5qiX4+bOirpqi2KqyDWm+vjSb0gSNX6/pfAG+/IHsKZp8FYDE3SRszYuQUQwdKZmNTnFehp2lZB35EpWcO8s5NWurLgfO8ZkKrNee3rR+q1xcWY9u7F+pvfxik1Hhg9RKFtgfp/+AdKP/wAGsPqcWazy7OMO8Zl++kVo7xV+nfufPaukQQLk07EgEhZXSFX1l7J8anjeP3h5y1/+3YIBFg+dUpmFjg/Y896lT6IP7m5DX9A5JM/PMq2/7WPm/7xZYoWe2g0n8Ioavhkew33X2Hh8cPD/Mnjb/HI0z14B+3M1+Xx0Ruao+aqay1BFGGyP7UED9Hvxzc3h64qOam3zS3j9wWyV6kHyWPjjq9J7Tk/+RAYCqkYk3w6Zl9+Cub7Yecnsnf9HHLIIYcccsghhzVAdstFa4jpIRt5hTqKKjI0XHLb4dR/wY6PQFnzqsNdJ06ib2xEV5r6JkJFvQmv2491bpniyvWPTtIYjZhuugnb889T81dfQdCp93bombBSZc6jwpQXdVwQBG7qqOR7+wdwef0YV3ppG8wNvDX1VvxEHXfBke/BwCuJIwa9Ljj7G6lKr9UDMHp2AX2elqqm5AZ3XdfUMvDWDGf2j7PtJkvc47N2N7N2Dx016pvkufskAzNZt/c1QMl9H8K2bx8LTz5J2UeldhO/3cGNx37HydpOunbvTnmuYD99Vkl92Wbp37l+KbZsDRFs1SivN3GV9yoeP/s478y8w66aXQDk71gxyzv+FoV7EhtsBgIi/dMOHtyTeLNJbexoKOHIX97K6+dnOTQ4z8CMndvmpimoaGa/XUe7aOC2+7fQUFbAt57vpdhmoEqj5U/+eCeamN3+6pYiBI3A+PlFGresrtrwz8+D3y9bqV+YzILzfSJc/cfgW4aFC3DH1ygYP47p67PMnBuG6mLoXrcE1hw2CpJky6d+ehoZ9hB3reBGf9wciTLsgbgc+5XKoBgIhCuGEcel7PNVMuwhuswTPCcWkYHjfv+qGfbASuq8ZuX7QMT3SBn2IOWWx2bWy2bYB2cLHheDMyZdbhhC3GPBDHsI5thn4fZY4w4rJzQ+KZ8eQEyQYb9yfL0y7IGY2Pfo5zY64z4S8hn2weORmfWJcu2l90P0+0cuwz50pdgMe5Dep8kWvFqGPUifleAQUQx/LgKB8GdMFEOfPTF4XC7DHkiWFS9ohMTFvxSz5ZOenyre7Rn2G6PumhEuGVI/M2KjqtEs76Ath55fg9e5ai99EMsnT1JwxRVpXaJ8xcBvbtSxIUg9SBJ86zPP4DxyhMKrr1Zt3jMTVrrrEle5t9cX4/WLnJu0saNB6tNuNDfyzMAzePweDNqIynDTdVLm9MtfhdZbQ8Q9hPPPS9F3Wz8UOjRydp669hK0MrL5TVvLsXSWcujpAVp3VZFviq5G901JbRLt1Vlwvu/tRdDrU05OyBYKr7+egt27mf2Xb1H8vvehyc9n4i/+HKPTxvd2385dbh+mvNT+RJycPYlW0NJZ1pm9BZtrpCi2dTDLGz27QH6RgdKaAnZ7d6MVtLwx/kaI1OvKyjBu24bt+eep+OxnEs4xYXWx7PVn1fk+Fgadhr2dVeztrAKfG/6+H7a9l86rajjx8ih1rSV8Yns9NUeXmLVa2fv73VRVxP9tMhh1VDaYoqPgZOCdlqLkdFVVSceE4+zW4G/h9V8Mf998AxVd7zAzXgwfvSOXTZ+DhCSEO/XTkxDzZNdKcJ2EmwOJ1hUQ44k9gCCEZPhCJIkXhGiSLooRTEoIkRchoIkn9hBP7iNZWAJiD9FEHgIx1C4BOfMFJCIH4IshlL5oTqaJmC2aoIfJfrLlRkOIeixIZkUg7Dai8m1ykJQHAiGyXhCxTxFH7oPEHqTxoddEbXIvXdcfXgoBNDFcOP69HU38gxBWHhNjNgXEleNCQiIfS/bD74eA/MZQovdTLLn3+5MvOJKkR/xiwc0uUQxEkHLCn6vIDYEIEi9oNGFiD/HkPpbYQxyJDv4diCPnaRD7hOeniiTreldgnfrh1cAl0Tzh8/qZH3NQ2ahAKv3O41DaFJVzngze6Wl8k5Pkb0+vKllWVwgCzG6gvnrTDTegMZlY+mWKefApYLV8920rZmMnxsIEocHcgIgY7YAPoMuDu/4RJk/Cm9+On+zkz6GwEppvBMA272JpehlLh7yCQhAErnugDY/Lz8FfDcQ9fn5aqsy2VatPwNx9fRg2b1ZVGZEJBEGg6s+/hH9xkbH/9nlG/uiPsT3/AnOf/By9pY1cmE09wuzU7ClaS1op0GeRIAkClG9ec/m9GBAZPTtPQ2cpgiBgNpjZUbmD/WP7o8YV3XkHrtOn8YyMJJynfw2c72Uxc1YyhavZxjUfaqVxSxmv/OQcP/7KQeaGbdzxqa107UnuVl/bVsLUoBW/d/X/5H0zMwDo5Uj9lIN8sx5joT7pmGyhstHM4ryAt3b1v/c55JBDDjnkkEPKjah0AAAgAElEQVQOGx2XBKmfG3MQCIhUNmZYVV0ag8HXYPuH4w0uEsC10jdr3LY9rcvo87SUVBVsKLM8jdFI8T33YP3ds/gWFlSZs2/atpLvnpjU15fkU1Zo4ORo2E17U5GUIjBiTUCIuu+RzAtf+RpYJ8LHXVbJGb/7/aHM7bGQt8LqEufyOhPb91o4s388Orca6Ju2Y8rTUVMU756vFO6+8+tqkheJ/C1bKH/4YZZPnMB57BiVX/gCZb/3MQAuzKVG6gNigJOzJ9MyycsY60DqZ8fsLNu8NHSF31M3NtzI2fmzTDrCZovmO+4EwPps4rSGYJzdWlbqoxCMdqvZjlan4c7PbGPrDfVc9f4WPva/r2bzzuQEHKS+er8vwOTg6tV6X7BSLye/n3BmX3qfBBUNZkQR5jZIxGgOGwgKK1NquOInHR+JTFzxZTLspUMZuuLLZNgrccWXy7BXzRU/JsNeiSu+XIa9Eld8uQx7Ja74chn2ilzxZTPsM3fFl8+wV8kVP8Y4T4krfgiJjPOUuOKnYWiXc8VPH4Koztd64JKQ3wf7Xas2ZUjqe54GRInUp4DlEydAq8XY3ZX2pcrrTUxfsKZ9XjZR8uCHWXjsMZae+iXln/wDxfP1TEivR3dt4tdDEAS21RdzYjRMDhrNkhR9yDqU8Bxu/zupd/74o3DTl6RjB78DPpeUMb2Cif4lDPk6yutSIwtX3tPCwNszvPzjs3z4y7tDedl9U3Zaq0yZt3Mkgd9mwzcxsWFIPUDVf/88Vf/986GfCzzSTUWqlfr+xX5sHhs7KndkZX1RKG+VjBF9HtCtbuCnBkZ65oHojaIbLTfyzWPfZP/Yfu5vvx8Ag6VekuA/+xwVn/503Dz9M3aK8/VUmNZm3XGYPCm1L6x4hugNWm78aOqu7/XtJQiCZERZ3y6vhAlW6nUVFQkfF0WRhUkHrVfIbyRkC8EN4JlhGzUtxeuyhhw2MNZZii/bYx+7rnSk+LE99sHxSqX4Mj32oECKn6CnXg0pfhL6tGGl+HE99vDulOL74t9PG1mKH9djT8R4yEnxNyJELuqe+ktiC2ZmyEpegQ5zeYZV1b59UNEuVQFTgOvESfLa29EY079edVMRtnkXTqsn7XOzBWN7O/lXXMHCz34avbufIXomrOTpNDSVJyfWOyzF9E3bWfZIf1yL84oxG8wM24YTn1DWIvXUH/sB+L2SqeErX4NtD0S1TEwNLFHTXJTy7qQ+T8vehzpZnHJy4qWw9L9v2k5bFmTSYZO8jUPqY1Fg0FFdlMfgrHw8WxBHJqVIxD21iQ3iVEV5K4h+WEyy+ZMFjPbMU1pbiKk0bPrYUtxCvame10ZeixobkuCPxsfuZWujKGVMnoTqLaDRrj42AfIK9FQ2mhnrXT2v3jc9g7a0FCFJcsKyzYvb6Vu3Sr2pNA9joZ7ZEdu6XD+HHHLIIYcccshBTVwSpH562EZlpiZ5HgdcOACtt6U0XFyJrcrflpnLd3WzVCGaHtpY1frSB+7HOzTM8tvvKJ6rZ8JKZ41ZNt99m6UEf0DkzIT0PAiCQKO5kRFb4n5kAHZ/CmwT8ItPwy8+I+VL3/ut0A6oe9nH3LiDms3pVd4ausuoayvh9IFxxIDIotPDrN2dlX56V08PIG2kbGQ0lRemLL8/OnWUusI66k31qw9WipAD/tpI8L1uP+Pnl2joiq5MC4LADZYbODhxEJfPFTpuvk36O2J/8cWo8aIo0jMpfS7WBaIokfoaZekE9e2lTA4s4fX4Zcf5ZmbkTfImpffWmpjkJYAgCFQ2mpi6kCP1OcjgUpPiy2XYK5Hiy2XYK5Hiy2TYK5Hiy2XYK5Hiy2XYb0QpvlyGvRIpvlyGvSIpvkyGvSIpfooZ9mlL8VeQk+JfTBAkozw1vtYBF/0r5PcGmB93ZC69H9wPfg+0pUbqPUNDBKzWtE3ygqhoMCMIMLXBJPimm28GvR7bCy8omkcURXomrEn76YPYvmKWF9lX32huZNiapFIP0HY7FDfA6aek/OmPPC4Z6a1ganAJRDKS0265vg7rzDKjvQuh3ue2qiw43584gbayAl1trepzq4nmikKGUiD1ATHA0cmjIRf4rKM8ItZuDXDhxCx+b4CWy+J7w29uvBmX38WLw2ECb2hsJK+tFdtLL0eNHVtcxubyrfq5yBpsE+Begqr0W4YiUd9ZSsAvMrmKC75vejqlOLuSdSL1APUdpcyN2XEsZSMiKodLBkkId+qni+mR+1TPT7SuRMR+hcQn7LGHaJlxJEFHIvYhch9L7JORezGC3McQ+yC5l4g9IWIfJPTR38f32AfJfRTZjyD34f758PchYh8k96v12K+Qe8EbJveCRxMi935PmNy7vWFyn6jHPkju532FIXK/GEHubQFjiNw7RU2I3DtFX4jcJyL2QXJfIOhC5L5ACITIvVnjiiD3zhC5L9M5QuQ+UY99kNzn6X0hcq81BELkXjSEyb0YSe5jCHxcj70uTOyD5D78mBD6PkjsA7ronvpkPfZBch8m7xHfrxD7ILlHm4Tcr9Zjn4DcC4ImTO4jzw0iSY+9kOB4+JwExD4BiU5KzNMg9orIfRqbCBctRJW+1gEX/Svj8/rZfnNDStnJCdG3T+oz3XRNSsNdJ08C6ZvkBWEw6iirK9xwffVas5nCK6/E9sILiGLm78YZm5sFp3fVimSVOY/SAj3npsKVsoaiBsYd43j93sQnabTwwX+H+34AH/4x5EdXTycHrCBILQ7pouXySvIKdZw5ME5fFl3Kl99+h/wdO9ZPgp0imioKmbV7sLmSvBYr6F/sZ8G9wO6a1DPtFaGgDPLL1qxS33d0isJiA7WtJXGP7anZQ4O5gSfOPRF13LT3ZpxHj+JfDG9YnV3xmehK4jORdcxKbR9UKGv7qN1cjEYjMHpO3lTTNz29aqVeZ9BgLlXfiDJVbNoq/Z8xdGpu3daQQw455JBDDjnkoAYueqO8vAI9136oNbOTRVHKOW+5MariK4flk6cQCgrIa02t/z4RqpqKGHh7BlEUNxS5M996K5N//de4e/swdmQmD+9NMd9dEATaqs2h8SBV6gNigHHHeMgNPw6brk465+TAEuV1Jgz56b+tdXotnVfWcvLVUebMAfL1WupL8tOeRw6+hQU8Q0MU3/chVefNBoJ+CBdmnaEIwkQI9tOvGamHNXPAdzu9DJ2eY9uNFjQJdrY1gob72+/nG8e+Qf9iP5tLpL8J5ltuZu6738W+fz/F73sfAGcnpU281T4XWcPcCqkvV0bqDUYd1c1FjJ6dBxL/DRT9fnxzc+iqklfqFyedlFQXKJcDKkB5vQlTaR7Dp+bovrZu3daRw0WCJNnyqZ+eIIM+jeskPT92fLBaH2uet1qGPUgVxpA8PzyHKAZCRmFx5nmrZdhDnHlepFFepO1arPlZnHEexBnlJTLT00QYsUUb4IXN9BItNxqRpnvBsWH7Pek3y8IttMYd8Xr4Vs2whxXzPE3QYS6QBeM8AF3IMFAkbCQY7TUX/dwmNs6TxgWfyWjTvfCrHmuUt1qGffjsBEZ5sWZ66RjnQbQJXnAcknle0FhSMr0LLkRMaJwHhDPsY46H5oB487x0jPOkBxL8ErFDhcyN85Ks65JBzijvIsXMWVgcTll6D5J8Or+7G0GbmdkUSJVkt8OHdXY54zmyAfMtN4MgYHvh+Yzn6J0K5ruvTl46qs30TtlCyoDGolUc8GUgBkTJJC/NfvpIbL/Fgk6vQXdkns0VBQmJnBIsvyP5FeTvWAOXeIVorpBI/eAqEvzDk4epLaxdm376IMpbYX4g65cZeHuGgE+kbVd10jH3tt6LXqOPqtYbt21DW1mB7cWXQsd6Jmw0lOVjNq59JjsAs+clRVKRcvJq6SpjetiGy55YxeGfnwe/X1Z+Pz/pWDeTvCAEQaBxaznDPfP4fZfozUkO6mKtpPgyPfaKpPih4SpL8eXi7hRI8eXi7hRJ8VONu0tTii8Xd6dEii/XY69Eii8Xd6dIii8Xd6dAii8Xd6dIip9q3F26UnyZuLucFH8DIye/v0hx9jfSv+3vSWm46PHg6unBuD0z6X0QVSvy8KnBjSXB11VWkn/ZZdhffW31wUnQN22jtCC12K72ahM2l49Jq2Q01mBuAJA3y0sC+6Ibj8tPhSVzyXxReT43fKQDsz3AFY7MN22SYfmdd0CjIX/rGuS5K8SmcqnXWS7WzhvwcmjiENfUpda6ohrKN4N1TDK5zCLOH5uhqMJIVVPyDaoyYxl3NN3BU+efYt4lRd8JGg2ma6/DefhwaMOqZ9JKV8069dMDzPZCRWv8zUMGaOwuAxFGzs4nfDwUZ5dEfu9e9mGfd1NWu76kHmDTlnK8Lj8T/fIeATnkEIW1NNBL5/zVDPRieuxVM9Dz+7NioCd4/dE99ioZ6GndyXvslRjoORzGqB57tQz0ZvyeqB57tQz0mvNmonrs1TLQ8xVkx0AvYNBE99irZaAXJOtBYp8NA70gVDbQS0rMcwZ670q8u1+Js89A/S4oSs20zNXbh+jxZGySF0R5XSH5Zj39x2cUzZMN5O+8HHdPD6Ins8i93ik7bdWpJREEq/lBCX65sZx8XT6jtvg4sNWwNL1ivFWlTDLftruaswY/lcPuUD65WnC98w55HR1oCtbPHCxVGPVa6oqNsqT+7em3sXvtXFd/3RqujLADfhar9V6Pn7HeBZq2V6z6Xn54+8O4/W7+4+R/hI7lX7YD//w83rExlj1+Lsw66FwvkzyQ5PcKpfdBVDUVkVegY/h04l507/Q0APoklfrplc3MTLwv1IalsxSNVkj6u+SQQw4pIFtthNrszCuqv2cPgM7gW31QBiiMbXFQCUv+7NyLaDzZed0EX5bKnwp8pNZl3hyyBxEuZvf7i76nPmNYx2H8ONzyVymf4jq1YpKnsNKq0WrovLqWt18YwbHoprAktX7+tUD+1q3Me724+vrI37IlrXNFUaR3ysa9l6Um8Q32F/dN2bixvRJBEKg31TNqz4DUz0itDMVVyv6TmrK5eDbfQ3dBEfu+f5oH/u/dmMuUm3mJgQDLJ05SdPd7Fc+1VthUXigrvz8wdgCdoOOq2qvWcFVI8nuQHPAVRrQlw9i5BfzeQMhMTQ7Nxc3c3XI3Pz33Uz6+5eNUFVSRv6LmWX7nHYZ2mAiI0LVecXbeZVgcgcseUmU6jUagoauMkTPzCX1BfCukPlmlfnJwCQSoal5/Uh/0CBjrXVx9cA45REKFHntIoUoWrL7HXCvp+YnGB8SEPfbS8EC4YhhxPKpfXhQjms+FUB+xENCs3mMP0Q3Rfn9cjz1E99RDIGGPfXAcwXYZnSZhT31s370mout6tR772OVGQ4jqwQ/2lYuscY/9ykXjeuxXjofGaHwR56rdZy9dz09YaRxAs2qPPVGPR4/TIMacK64cFxL22IfmDO6l6DSh94bs+ye27z62xx6k92myBQff4zF99kHfCVEMJO6xD54T/IyJYuizJ8YcD88rrNpjLx1O0iOfYu+7Kj32oFjFtBEgXMR7Me/eSv25Z6R/O+9O+RRXz1k0xcXo65X3D3dfV4cYEOl5Y1zxXGrCuELkXadPp33utM2NzeVL2QysrNBAhSmPc5NhB3yLyZJZpX5mGa1Og0nhBsnwnBOvAK3vb8bvC/Dbb5/A41K+++4dHSVgt4ee34sBTRWFspX6A2MHuLz6ckwG9VMCZFHWIv2bRbO84VNz6Awa6triXe8T4bM7Posv4OPHPT8GIK+tDcFoxHXiBGfGpcr0ulXq5wcAMbwZogIaustwLHmYH49/f4Tk9xUVCc+dGrRSWlNIXgaGltlAfXspM8M2PMvZqbLlcAlDYY+9NMUaSvGjHldRip9q3F2aUnzZuDtFUvyYHnuVpPhycXdKpPhycXfKpPjJ4+6USPHl4u6USPFl4+4USPFl4+6USPHl4u4gcym+TI+9Eim+4h774LVyWDe8O599jxMOf0+6ya1I3eXd1dODsbNTFcf6kqoCLJ2lnN4/TkDJ7pjK0Dc0oCkqwnUqfVIfNMlLJwquvdpE73TYAd9itjBmH0s7Vm9pZpmiCqPiP0gjC1LFv7W1lDs/vZX5CQfP/ftpxa+Ru09yHze2Z5YqsB5orihgwellyRlviDblmKJ3oXftpfcAeSYw12Ytq14URS6cmsPSWYZOn5pOs8HcwA2WG/h1/6/xBXwIej3G7m6WT5zkxNgSZqOOTWXr1HYRirNT773X2C0pGIbPxLeo+KZn0JaWIhjifTVEUWRycImaDVClD6KuvQQxIOb66i8RCIJwpyAI5wRBOC8Iwp+v93pyyCGHHHK4iHARG+VtjFLJWkIU4dd/KjnfP/TzlHvBRJ8P97lzlD74oGpL2Xajhd89cpK+I1N0XFmj2rxKIAgCxi3dGVXqU42zi0R7tZknj44QCIhoNJL8ftm3zIJ7gTJjWcrzLE0vU1ypPIJueN6JIEB9ST6GikJueLCdVx87x/Fnh9h1V1PG87p7ewEwbFavWpptBGPtBuccXFYQXbHeP7YfYH1IPUgbclmq1C9OObHNudh5x6a0znt/6/t5eeRlXh97nRsbbiR/+3YWHn+c00NzbLcUq56mkDKCpL488xjOWJhK8yiqMCY0+/TNzCSV3i9NL+N2+KhpyTylQm3UtBSj0QqM9S6k1G6Rw8aFIAha4NvAbcAocEQQhKdFUTyT1QtfLFJ8mbg7aXhmUvyU4+4gTSl+ClLqjKT4wTtudaX4wVnf7VL8VOPuiHo8elwiKb5c3F1ozgyk+LJxd5CxFF827i54Tk6Kn4OKePeR+jf+GU4+CTd/GdpuTfk0z4ULiG43xu4u1ZbSvKOCigYTh389QOuuKrTajSGcyN+yhbkfPUrA40GToNqWDH1TtpCkPlW0V5txePyMLS7TUFaAxWwBYNQ2mjKpF0WRpRknlo7SlK+bDKPzTmqLjBhWMlC3XF/HeN8ih38ziKWzNGMy4u7rQ2+xoDWtv+N3qgjG2l2YdXBZQzSp33dhH43mRtpK1DFfSxsVbXDqv6JvPFXC6NkFYMXlPQ1cb7meMmMZv+j7hUTqd2xn/oc/xN17jqvfd6Oqa0wLc31QZAGDuu+9ysYiZoYTkPrp6aRxdlODUjW8egNV6vUGba6v/tLBHuC8KIoDAIIg/BS4F8guqYekhDu9KdYwyz6W2AOZZtnL9tgHz4lEJAuTybKP7bGHILWL6YmGtLLsY3vsQ79KBNlPttxoRJPM+B57UP02O0jIAwGC2fQbLcs+tsde+h4SbZpEE/9IJMqyj+6xD54ffH1jyX7qWfYJ3k8qZNnH9dgHLxX8/GSaZR9L7CGOQCvNsk96fjq4lLPsNyg2BotcK5x+Cp7/K+h+P1z3xbROdfWcBSCvUz1SL2gErnxfC9ZZF2ffmFBtXqUwbtkCXi/u3r60zuufsdNamV5/dXu1NL5vWpLuB/POx+xjKc/htHrweQIUK3S+B6lS3xAhkxYEgRs/2oGpJI9XHz+X8bzuvj7y2taJAGeIxvICBAEuxJjlLbgWODx5mNubblelFSUjVHaBawnsU6pPPTm4REGRAXN5egaJeo2eezbfw2ujrzG3PBcyy2ufGWS7ZR0r02PHsmIoWNVkxjrrYtkenZThm55ObpI3YEVv1FK6AeLsIpHrq79kUA9EZqKOrhzLIYcccsghh1UhiOp8rQfePZV6+ww89UfQcCV84JHEsjAZuHp6EAwG8lqaVV3Wpm3lVDcXcfSZC3ReXYtWt/77LEF3f9epU+RvTd3YbXDWwS2d1WldKzLW7ubO6hCpT8csb+aotOGihvx+ZMHJ9W3RVca8fB2X3dbA/p/1MT/uoKwuPUIiejy4By9g2nuz4vWtJfJ0WmqKjAzPO6OOvzT8En7Rz+2bbl+nlQFVndK/0z1gVrd1ZWrASnVzUUYbFne33M0PT/+QF4df5P72+3Fs2sz7Bt+gs/YvVV1jynDMSW0Kl/+e6lNXbZKq7dNDNjZtkWTrot+Pb24uaaV+cnCJ6qai9WtFSIKalmLEgMjsqD1lc8QcNiQSvbHibq8EQXgYeBjAiMpeFypI8VOu1kN6UvzYaj2oI8UPVvVUluJHVlfVlOKHq7zqSvHDVemLRIqfxWr9yiVVluJH19uD5yiV4odXo7IUf+VH1aX4oar/RSLFv9iq9esUR6cG1p9BrhXeeQx8y3DPv4A+/Ygy99keydFar1d1WYIgsOuuJuwLbnoPT6o6d6bQWyxoTCbcvalXpm0uL7N2D00V6RHe4nw9NUVGelcc8Av0BZQZy1Kq1Pvm5xn5zGfp/7v/A0CRQlLv8vqZsrppTGBotnlnFYIAfcfSrwy7By+Az0feRWSSF0RjWQEjMaR+39A+LCYLnWWd67QqoHLl2jOZqycSwWX3sjSznHGbRXtpO01FTTx34TkEQeDQNfdgsc9QdPA1VdeZMkYOSf82qB87WNVoBgFmhsISfP/8PPj96KriSb3X7WduzLGhpPdBBDfq5sftq4zMYYNjFGiI+NkCxEXMiKL4XVEUd4miuEtPFiJlFbriiwExO674idalhit+0Nkeidir5orvD4Rc8SVHfFRxxddEuOKHHe+Vu+IL3rArvuDRqOaKvxjhim8LGFVzxS8QAiFXfLPGpZorvtYQCLniiwb1XPHDjwmh79VwxRc1mghXfLLiii8Imuy44kdio7rip3idHJTj3fEsBwJw7IfQeA1UdqR9uiiKuM70qNpPH4lNW8upaDBx7NmhDeGELwgCeW1tuFbM3VLBhVmJ+DVXpF/1aKs20TsdE2uXQlb9/A9+gP3AAfztOxFEP3kLqUv2E2F0xfm+oSx+c6CwOI+69lLOH51O25k/6Hx/scnvQSL1kZX6RdcihyYOra/0HqCwEvLLYKZH1WknFfZ8C4LAHU13cHTqKLPLs/ymqJ3Z8jrmHvm38M3xWmLkEGj0UHeZ6lMb8nWUVhcwdSH82Q3F2SWQ388MWxED4oYyyQvCVJqHwahlLkFEXw4XFY4AbYIgNAuCYAAeBJ5e5zXlkEMOOeRwMUAt5/uc/D6LuLBfymq+MbN0G9/UFP7FRfK6skPqBUHgijubeO7fTzH49gybdybuR11L5LW3Y33mGURRTIm8Da70XTdXpJ9Z3l5t5ieHhvAHRLQrDvgnZk/IniMGAiz9+jeYrrsO/9aryDs6gPPAMPkdmRPnYEU6UaUeoG1XFa/85ByzI3YqG1N3+Hf39YFOR15zU8ZrWy80lhUwZXXj8vox6rW8NLIivW9aR+k9SDvWlZ2qV+qnBq3S1Gm8vrG4s+lOHjnxCL8b2EfvTAmjd32Yiv/8Jo4DBzDdcIOKq00BI4ehdgfolbemJELlJnPIWBDAOz0NgD6B/H5yQKrob8RKvSAIlNUVMp8j9Rc1RFH0CYLwOeA5QAv8hyiK6Ue5qLagd4kUP8Y4Txq2gaX4CaT56kjx4yXhG1qKv0bGeSuXVCzFjzfOk2ZWKsVPaLyohhQ/xjgPVJLixxrnQU6KrybWv7aaMS79Sr0owuv/BMYS6L43oylcZ6RqoFFFk7xYtFxeibFQz4WTs1m7RjrI62gnYLPhm0ytJeDCrHQzvKk8/Up9R7UZlzcQItUWs4VJxyS+QHLTKufhw/gmJym65304nAKFmmXsr7ya9rUjETTrC0a5xWLz5VVoNELabRLu3l7ympsS5nZvdDSuvJ6jC9Jrs+/CPupN9XSXdat6nZF5J//yYh8ur3/1wUFUdUo99WkqJ+QwdcFKWb0JgzHzG6/W0lY2F2/mv3p/iT8QoPg9d6KtqGDh8Z8mHG/32PnQ0x/iR6d/lPE1E8LngfHj0Ki+9D6Iqk1FOJc82BekG0K5Sv3UoJXiynzyTRvzc1BWZ2J+3JG2EieHjQVRFJ8RRbFdFMXNoih+db3X866Q4keOV1OKH/mYilL8qJ/VlOIHH1NZij/vK8yKFL9A0GVFip+n92VHih+U2assxQ/J79WW4gfnUVuKL8SMD84TiUyk+Cng3SDFv5iN8jb2M6sGXv8n6H8RbvqLjHrpAVxne0AQMHZkrydaoxGoay/ZMLFKxpX+b3eKEvzBWQd1xUaMeu3qg2PQtuKA3zsVdsD3i36mnMn715d+9TSawkLMt9yCbc5FUWUhzuPH8VvjI7ZSxYnRJepL8ilPEslnNOnZtK2cc4enCPhTv0m7GJ3vgwgmAQzPO1lyL2VFej9nd/Ox7x/i68/38s8vppG4UNkJrkWwT6uyDjEgMjVopUaFSvJD3Q/Rb+1BV/Q27ZYySu77EPZXX8U7ttIisjQKz/wZ7P8GP3vza/Qu9PL1o19n/+h+xdcOYfIE+FzQsEe9OWNQ0yxJ6ScHpLYF30qlXldRETVOFEUmB5aobol/bicdk5ybV1dxkQnKagtxObws27zrvZQccsghhxxyyCGHtHBpk/rhQ/Di38CWD8CVn8l4GndPD4ZNm9AUZjeGqb69BNucC+vsclavkwqCJDTVvvrBWUfaJnlBBB3w+6Ylk6rIrPpECHg82Pbtw3zHHQS0epxWDyVtdeD343j99YzWABKpXy16rPPqWpatHobPzCd8fKJ/ibdfGGakZx4xIBJwOPCOjl60pD7YijA05+Sl4ZfwiT7u2HSHavOLoshn/vMYE0surm0t55HXBjg1tpTaySGzPHX66pdml/Es+0Ku7krwwdYPUqbbjLH6GcrNfkofeACAhSeelKpOv/xjOPxdll/6Wx7tf4o9ngDthXV8af+XWHSptLHXtw8QJC+RLKGi0YROr2GiX1qzb3oGbWlpnCrFNu/CafWENgGCcHqd/MGzf8B9v76Pr7z+FWweG+uFsnrp79dcziwvh2xAoew0rWp9gmslPT9RtT5RxT40PBB/PNY4T/z/2Xvv8LjOMu//c6aqjNqol1GvlnuP4yR2qtMIgSSwhEBgIbSwvCz9hR/7Lq4tIbsAACAASURBVOzCNpa27C6ETkJCSQhJCOlxSdziXiTZVu911Gak6ef3x9FUjUZTzkiyM9/r8mX5nOc8zzNF47nP/S3+c3i69cE69oHdelFkQeO8uY69pyPv8q7t7tC7O/ben+e69e6OfRDjPMGnW+/t2Iuejr3g9OnYB3blQxjnuTv2Cp+OvWj3duwdNpWnYz9jU3s69lM2radjH8w4b9KnW+/u2E+4tJ6Ovdnl8nTsHTg9HXtfBDPOc3fsMxVWT8de6tabPd16d8c+XWXxdOx1aqunYx/MOM/dsRfU3o69Sy16OvYujU/HPqBbL4YwzvN27AVPx15UCp6OvW933qX06dgrfDr2QYzzPD/7dOy93fwg3Xp3x14RomMf0K13d+w98L0OvGuD3/FFjfOCdeyDIBbjvAWvjwQruVuf0NSvQDgd8NxnIb1YcryPobNoaW4hea38Oc+BKK7NAqD/0gTpOfHRwIYLZUYGqoKCsLPqO8fM3LamMKq1dFoVxZnJXBgML6vecvo0LrOZtBuu99B+sxrKUKSnY3rjDdJvvTXiPUzM2Og2zvDerYaQ48pWZ5OUqqbl0CDla/y7kRaTnef/+wwWs9Tp23pnBatLJObA5eh8D5CdqiFFo6TbOMMxyysS9T5bPup967CJY13j/MOdq3jXxhJu+s99fOnJMzzz8E6Ui/2n4S7qh1ugclfMexntkYq5HEPkvhCBUCqU5Nveh1H5T/z+4hN8bN3HSLvhesYffZSsVQrUHfvgju/ypMaF8eT3+dSsEkV/Nw9kKDnYf5DbKm+LbQOiCOf/BOU7QRc8Xk4OKJUK8srTGWyb69SPjASl3rvPB+rpv3/i+/SaenlH1Tt4tu1Z1Ao1X7/q63HbbyhkF0mvu7HPjKFevyx7SOAKxwLa9/AvX0Ajv9BakWjsA/flEudr7AEEwVPYC249fai4OwCF4NERCy7FfI09zNfZL6KxB39NPbgCVNZBdNIO16Jxd96lfYTpfpptr+5+oe36Q/DTdrt15SLgFZvJ/FXcrY93uTy6+RQfywC3tj5k3J3vPLJBWs/p3QouFAGy9PnvbX8NvhvC3DkxQJ8vzh0XgmrqA3X3i8XdeVcK8n4K1Nk7nQtvODDubm6c23dCFF0++ni8v2++2vw5PX3IuDuY0+oHaOylC/y25P4cmHfDLwKNfdDrw8UC+1p2XMYKvBV8qyRGvPVTGD4Pe74N2uhNr5xTU1KnNY56ejf0haloU1X0XVoZFHxtXS3WC4vTYsfNNiZm7FQsoEUPB3UFaR76fUFqAUpBuWCn3nz0KAgCKZs3M220AJCWm0rqtm2YDx6KShN7plcqOtaVhM6oVqoU1G7Np+PMCLMmm9+5Q0+3YZ11cPfnNmJYpefsvj5mL1y+zvcAgiBQqk+h0zjOkYEj7DLskpV6f7hDYjxcX59HRrKar92xivP9Uzx5fPH0A3R5kJwFIy2y7GW0ZxqFQvAUd7GibyiHDEUVr3a/CkDeF7+I6HQy8K8/RCzbiXXd3/CLlsfZUrCFje/4CWuM/aQLag72H4x98aHzMHpRYinFGYXVGYz0mLBbnTiGh4Nm1HeeHSM5TU2OwftZfG70HL9t+S33N9zPP+/8Z+6qvotn255l0homU0NmJKepSUpVYxxImOUlkEACCSSQQAKXF67Mot42A69/C6quh/o7YprK0iIVDElxcr73haAQKK7Jov/i+OKDlwBJtbVYOzoQ7aE1pm7n+2jp9wD1BWm0DpuwOpyoFCoKUgsWjLWbOfoW2oZ6lBkZmNxFvT6J1Kt34BgYwNbRGfH6Z+co36uLF4/bary2GJdT5ORL3Z5jg+2TNL3Rz7rrSyiqyWTt7hJmp2x0nBlDSE5GXVIS8Z5WCgz6FNqmT2N1Wrm2WF739qMdRvLTtR6a/51rC9lYmsm/vXgBk3Vho0QArwO+PEX9SI+JrMJUlOrYPxanLXb6JmZpyLiKZmMzg+ZBNAYDee9cj7lfxZTmTv7c/izDs8M8tPYhMGxFuelBtpkmOdR7IHaztvNPSXfBG94R82NZDIVVmZIfQedU0E69y+mi+/wYZY3ZKHw6f692v4pKUPHw+ocBuL/hfixOC09eejLuew4GtwP+WF+Cfp9AnHGlUfFDZdjHQsUPlWEfCxU/RIZ9LFT8UBn2sVDxQ2XYr0QqfqgM+1io+KEy7GOi4ofIsI+Jih9mhn3EVPw5JKj48kMuk7yEUZ6c6DoI1km46lMx0e5B0tMDJDXUy7GzRVFUk8nUqMXTgV5OaGtqwG7H1tUVcpzb+T6ajHo3GgrTcbhEWt26el1JUPq9y2pl9tQpUrdI5l/TYxYQpJzp1B2Sdth8KPJO5+meCSpyUslIVi86Vl+YSs3mfM7u7WVmyobL6WLf4xdIzdSy5Y4KAEobs0nTJ9E6rENbXe3/4XuZoVSfwqjzNEmqJDYVbJJtXlEUOdI+xraKbE/3XxAEvn5nI6MmKz/Z3774JLnyOeCP9kzLQr0HuDgkvY93G3YDsLdnL9hnyUrejzpDzcQbp/jZ2Z+xNnct2wq2SRfd8HW222HYaqRjsiP6xV0uiXpfcW1cqfduFFSmgwADl8ZxjI7O69QPtk9hnXFQFiBXeWvwLRpzGtFppOe8NquWrQVbebzl8ZDJF/FEYVUGw13THglNAgnEDcvsir/g9VG44vsd91wjsyu+p5CXwRU/QGMfD1f8eYV9DK74gRp7uVzxfaEWVLK54gdq7OVyxZ+nsZfLFT9AYy+bK34ojX0srvgBGnu5XPGD4u3oii8K8vxZBqyQZ1BmtL8OSo0sBlGWpiZUubnz3JzjBbfmdKR7+Qyj3NBUVAJg7QhdYLQOm1ApBMpioN83FEqPu3lAetwlaSVB6fezp08jWq2kbJMKoelxK6npGpQqBZrSUtQlJZgPHop4/bN9k6wJo0vvxtY7KnDaXex/4gJHn+1gtMfEzntrPFFoCoXAqp1FjCoKcVbG348hnjBkJSOkNLMxZytaZfBkgGjQNTbD8LSVrRX++uX1hkxuacznl292MGVZpLiSyQHfPGllZspGriF6qY4v3P4QO8tWUZZexus9r8PJRxFmR9FduxPTm28yMtHHQ2se8soZUvTsWP1+AA41PR794id/DcZ22PBArA8jLGhT1OgLU+lrGgGnE3Whv7dG59lRFAqB0lXe13nGPsP50fNsKdjiN/a99e9l0DzIsaFjS7L3QJSvy0F0iXSfH1uW9RNIIIEEEkgggQSiwZVplNe+V8pm1kTfOQZwTk4y/fIr6G68QZ59hYHsYh2CIHUNK9fHv8sWCpqKcoBF6eyXhk2U56SiVkZ/j6giJ5UktYKm/inYJJnlGS1GZuwzpKi9r+PM0bfm9PRSx3h6zIJO740qTN2xg6nnn0d0OBBU4b29X2sZYmDSMq+4DIXM/BQ23FzKiRclCn7pKj1VG/1fr7JKDUcAo35pWB7hYP/vLtJ2YpiKdbmUNugprMlYNDc8NW0UhWaC8pTNsu7lSIdUOG2vnP+8P7y7hhfPD/GbQ118anf1wpPkuR3wWyAtP+q9jPbKZ5IHUjxjqkZJSVYKuw27ebTpN4wdfZrs0h04DLeiePZ17plexbUl/nKGkmu+iOHRJzl0+pfcv+9/4aqH4bovhs84Mo3Ay/8AZTth9btleSzhoHJ9Lsee76QotRhDcbHfuc4zoxTVZqJJ9v4+nho5hUN0sCXfv6i/uuhqNAoN+3r2sb1w+5Ls3Rf5Zekkp2voODNK7daCJV8/gbchghjaRXa5GLVxXsjrA8e7u/WB5nnBjPNA+szyNcHz0PO9c4iiy2MUNs88L5hxnnuc25AswDzP1yjP13Yt0PxsnnEezDPKC2amp/AxYvM3wPOa6QXbrj98TffcY732e9Iji8NXc4XV5/VwBDXO8/w8dzxFwGO0J70mchvnAag8hoEiXiNBf685/+c2uHGeNM79TPqb7nlf9UCjvKDGeQCOMIwXA830IjHOA38TPPc4JPM8t7GkZHrn3ogY1DgPpN89Mchxzxww3zwvEuM86USQBxE4VIjeOG+BfS05LmOjvCuvqDcNw9A5uCF2B2XjY4/hmpkh+28/IsPGwoNaqyQzP4WRnuXXdSp1OlS5udgW6dS3DZuoK4itw6lUCNTlp9E8ILnFux3w+039VGd5i7rZE8fR1tejTJc6+yajhdwy79opW7cy8fvfY710KSwfBLPVwf/39Hlq8nTctzm0830grrq7mrW7DXQ3GSlb7aWQu5E83o3GOsGIa3lvzrghukQuHR1CpVFw4fAA5/f3oU5S8p6vbiUjd+G0hTHnOQC0dvlc7wGOdBjJTtVQlTu/kF5TksHuulx+eqCdD19dQbJGGWQGfGLtWqDyuqj3MtojddZzSuQp6luHTVTn6VAoBN6pzOa3Lgf/t6iY7777Ef7j4Lf4oBruHa2cbzqoSWWL4TpeHTiEmL4BYe+3pK67VgfJetj+CUgJcfPppa+BzQx3fDdm6VEkWH+jgTMvd9BeeRfrfIr60V4T44MzrL7Ov9A/NngMpaBkfd56v+Mp6hS2FW5jb89evrjli7KaMoYDQSFQsSab1uPDOB0ulKroi60EEggbS+WKv8A6MbviC+5iwOWlAsvhih9MtiaDK75fITbnfC6PK/78538lu+Kn+DyUeYX93PGV6orvf84Xwtz58F3xg7nky+KK735vOp0LbzgaV3zfa3zc7+V0xQ9amL9NXPGXSw8vB668or59n/R35e6YpnHNzDD+69+g27WLpLqljSPLLU2jf4U44GsqKkIW9VaHk84xM3esjS7OzhcNhem8cH4QURS9WfWmXk9RL4oiluYWdDdcL/3bJTI9bqFyg7dodr9W1tbWRYt6URT59l+b6ZuY5Y8fvwpNFF/gUzO1NOwI/thtHe3oxzsZGLk6/G5KHDHaa8JitnPjvQ1Ub8pnoH2SZ75/iqY3+rjq7oW74S0TpxEc2fSOyEe9BzjbO8l6Q+aChduHrq7gAz8/yuGOMXbXzY9JA0CXD0mZMZvlDXdNk56ThDZlcU+FcNAxamZLeRb0HafqL1/mKwXl/KPazO5n382MY4Z7N9SgO3QcURTnPf7VZbt4qn8/vXf+B4aD1XD4R6BNB+s0HP2xRKtf9zdQsNp/0fZ9cOYJuPYLkLu0n1naFDUNOSOctjcybE7BfXus+c1+FCqB2i3+XW+3nt6XhePGLsMuDvQdoH2ynarMqiXYvT/K1+bQ9OYA/a0TiWi7BJYWl2vXPlTc3dzxqLr2TqdXg+yLGLv2gtMp6aRl7tornSKi0r1S8O36I7yuvcOmQqWR0Wdkrmtvxjanm0fWrn2GcoZJZzRM2dBde5dG8iXweyjE3rUXERAcovxde3fHPNG1jw4roWt/meHKa0O0vy59yS9cF9M0xl//GufEBNkPPSTTxsJHjiEN07ik8V1uaCoqJAf8BYzIOkbNuESoyou9w9lQmM7EjJ3BKUvQrHrH8AjO8XGS6qTu7My0DZdDJM2Hfq8pKwOVCuul1kXX+++9bTx6uJuPXlPB5nL5v7zbOjvRmzuwzjg99O7lRE+LFB9XUq9HqVZQUpdF+Zpsmg8O4HQE/+AURZHjQ8fJUtTTPCifz8OszUnbiInGovQFx2yt0KNRKjjYOrrwRG4H/OHoi3qH3UlPk5GSBnneAxa7k/7JWSqyNPD4+0CXy7vf82fe3/B+GnMa+fktP2fVnQ/g6B/A1jr/fbo6WyrWz46egz3fgi93S38+8aZkfnfkx/C/V8PpJ3wehBX+8veQVQHXfE6WxxEpymxNaO1TnHi1X9qS3cmFI4NUrs8lSee9WWK2mzk3em4e9d4NtyRhb8/euO85GEoa9Kg0CtpPjCzL+gkkkMAc4sXUUcZnXnEBQlmskLWg90FqnAx8oyvoF0dgQS8XBEecWrMyGPgu6bwJSBBl+rMMuLI69S4XXHoZqnaDIvpPV1tvH6P/+2PSbr6ZlI0bZNxgeMgtlejkoz3TlDZmL/n6vtBUlOOanMQ5Po5KP7/ocbvV1+TFbjDmNcubYnddHsmqZD+zPGuLfxLBtE+cnRuCRoO2ohzrpUsh1/rN4S7+/cUL3L2hmK/cGp+4QltXF/lpszQhFdTu13W50NsyTlZhKqmZ3o574zXFdJwepeP0KNWb5nfD2yfbmbBOsD1jHXtbp7E5XFExGgLRPDiFS4TGEOaESWolG8syOdi2iGlZXj00/dmf7hkBeprHsVudVMnkYdE7PoMowiahGUyD8N7fIqTl86WtX/KMse8oAsB8+IiUMuGD6qxqtEot58bOcVvlbZA09xzlN8J7HoUZI/zhQXj6k9K5ulvhje/BWCu8/0lQLyyliCdc/T1UOLW0tKQz1DnF1Mgs1hkHq+YeqxuH+g/hEB3sLN4ZdJ6C1AIa9A3s793P367526XYuh/UGiUV63JpPT7MzvtqEhT8BJYWMnTrIUHFD0XFX5BKHSMVP5TGPnC7/liMir9EGvu5RVcqFT+Uxh6CNcDDo+IHauw9c8ZKxQ/U2IM8VPzAbr37mlip+EG64nJQ8WPu1sPSdezFy5t+f2V9Wxk4CeZhqL01pmmGvvUtUCjI/8qXZdpYZHDrekd6lt8BX1tRAbAgBf/SkAmFAJW50Tvfu1FfKBW95/qmEASBYl2xX1a9peWCtKe6OgBMRuk/E1+jPABNdTXWIB1QN5453c/X/3yOG+rz+Ld71vplZ8sJe2cX6YYcsgpT6W0Zj8sa4cJhdzJwaQJDfZbfccMqPWn6JM7tnx8fCHB86DgAVxVvxu4UaRuRh3Fwvl/yTgjVqQfYUZVD08AU4+YQrJXcepgdB3N0ndX2k8NoU1QU12UtPjgMdIzOAFA7dVhK4ajcNW+MurgYtcGA+cjh+ecUaur19ZwbPRd8gRQ9vPcxiY30hwfhxG/gwHeg8V1QfaMsjyEa2Pv7qcqeRJuiYv/jFzjw+4uk5yRREvCe29e7jzRN2jw9vS82F2ymaaxp2aLtarfmYzHb6W4yLsv6CbzNEWPcnTRFmN9MF1gnoix7v/Oip3gQXa7YsuzDjbuLMMs+ZNxdTFn2hBV3F2mWfai4u1iy7EPF3cWWZb9w3F0sWfah4u5iybIPGXcXQ5Z9yLi7WLLsQ8Xdgd/xiLLsQ8TdxZJlH3PcnXutBBbFlfUsXXhBeuFrbop6ipmTJzG99ho5H//4vGimpUJSqpr0nCRGupefsq1ZpKhvHTZh0KeQpI6dd5aepKY6T8fJbqkADsyqt7Q0oy4uRpkmFf/TY3Od+mz/ol5bU4O9pwfXzMy8NaYtdj7/h9NsKdPzo/s3xuTYHwqi3Y6trw9NebmUfd05taCEYSkw2D6Fw+6aRzFXKAQary2i78I4Y33z32/Hho6Rl5zH1WXSjRS3kWGsaOqfJCNZTXFm6K7yjqpsRNHrlB8UeXNMi+GmiPfhdLroOD1K+Zoc2TqyXWNmALIH9kHZ1aAJfsMrdfs2Zo6+heh0zju3JmcNzWPNCxe12jS4/4+QWQrPPAwqLez5tiz7jwaiy4W9f4CUknxWX1fMcNc0KRlabv/UOr//zF2ii/29+9lZtBOVYuHuU4O+AYvTQsdkaJPOeMGwSk+STs3Fo4PLsn4CCSSQQAIJJLAMSNDvVwguvgCGbaHdoRfB2E8eQZmRgf7998u4sciRX55O78UJXC4xbp3kcKAuLkZQqxfMqm8dNlEjg57ejY2lmbzUNOQxyzsyeMRjJmZtuYC2wRsPNz1uQZOkRJvs/zbWVkumb9a2dpLX+JuJneyewOZw8ekbqmW5EbEQ7H194HCgKSsjN1tH0xv9TBstpGcvDzV6oHUCBCiqyZx3rvGaYo79pZPTr/Zw/Qe8UgS3nn5T/iaqcnVoVApaZNLVn++forEofVF383WGTFI0St5sHWPP6gVusuU1Sn8PnQ/aFQ+F/ksTWGccfmaLsaJj1Myq5HGUYxdh84cWHJeybTsTf/gjluYWklc3+p1rzGnk0eZHaZtoo05fF3yC1Gx44E/w+w/C1ocgbfki2BwjI2C3oy4uZvOt5WQX66hcl4tS7X+jpGmsCaPFyLWGa0PO15jd6Blfk1UTcmw8oFQqqN6UR/PBAWwWB5qkK+u/ygQuE1wuVPwQcXfS8Oio+GHH3UGEVPwwqNRRUfH9jfOka2Kn4gca58mOy4SKH27cHX7n/ccFo+KHirvzzBkFFT9k3B1ETcUPaZznvuaKpuJHP0VYuIzp91fON5Wpfhg8Azf+v6insFy8iOn118l5+GEUKfEx+ggX5etyuHRsmKH2SQqr5xdiSwVBqURdVho0q97udNE+amJ3/QLO5FFgY2kWvz/WS/uomWJdMbOOWcat42S6krB1dpJ+222esdNjlnldegBttVQEWC9dmlfUH+8aRyHAekN8n1NbVxcAmvIycjLdHgmmZSvqB9smyS5KnXcDBCRmSN1VhbQcHGD7O6tISZdy67unuxmeGWZT/iZUSgW1+Tqa+mPv1NudLloGp3lwR/miY9VKBdsq9Lx+YXjhG1y6XEjNhaHIO/UDrZMgMI8iHgs6x8y8I7UJTIRkDaVu2wrAzJHD84r6NTlrADg3em7hoh4gowQ++mrMe44V9j6JUaMuKkKlUVKzOT/ouH29+1AICnYWBdfTu1GWXkayKplmYzN3cZfs+w0HNZvzOLevj55mI1Ub5PuMSyCBiBBj3J00xRK64gcW9hC1K35Ijb37Gl+E6YofKu7O+/McInDFDx13B4EFaLiu+MsRdwesuCz7QI299DMEu2kSmSu+v8befb379Y3eFT/I+0mGLPuQcXeB10Tiih9m3J10OKDyDVP7HnPcXQIhceXQ79tek/6uuSXqKcYe+SlCSsqyd+kBylbnoFAKtJ9afgdmbXUN1osX5x1vHpjC7hQX1UVHgo1lUnF1omvc64A/3ScZ34ki2npvgWMat8zT0wNoSg0IGk1QXf2J7nHqCtJJS5InumwheIr6sjKyS3QIwvJ5JIgukcGOKfIrFzalW3d9CU6Hi6PPtnuOHRk4AsC2wm0AbC7Tc7TTyLTFHtN+2kZM2ByusN83d60vpnd8liMdIfTNeatg+HzEexnumiKrIFXWTmzPyDS3OV6BrHLIXjgqUJWbi6a6CvOh+br60rRS0tRpnB+L/DEtBzxFfXHxgmNcoovn2p5jU/4mMpNC31RTKpTU6+tpGov8Ro1cyK/MQJOkpPt8QlefQAIJJJBAAm8HCKI8f5YDV06nfuA0aHSSaVYUsPX2MvX88+gfeABl5vJ1xt3QJqsoqc+i/dQIO95dvShNOZ5IXt3I9Asv4BgfR5Xl7Wi+1Slp3zeXy9flrM7VkZak4mTPBB+q8mbVl7RIBXFSvQ/9fsxCQZBCVVCp0FRWYm31d8B3ukROdk/wzg1F866RG7bOLhRpaSj1egRBIDM/hdGe5fFIMA6asc06KAxR1GcVpLL+RgOnXumhuDaLmi35HB08Sl5KHmXpZQDcua6QXx7s5JXmIe7eUOJ3/cTwDO0nR5gas3D1PdWoNQtLG870TgKLm+S5sWd1AWl/VvGHYz1cVbVAGkR+Ixz7BbicYSdfiKLIcOcUZXIlTMyOYxFV3Gb+I6WqC3D7z+Yb0wRAt/MajI89hnNqCmW69/kQBIGG7IZlLWojgb1PirFTFy38u/VG3xv0mnr5zMbPhDXnquxVPHXpKZwuJ8oY0kyihVKpoKRBT/f5MY8EKIEElg1LmWEPkVHxQ2XYQ/RU/FAZ9oHX+GIRKr5vd1VOKr63yysvFd/blb5MqPhx7NbPLSkzFd+/3+6+JlYqvo+bjLxU/Ll/yk7FDzPDXjq8zFT8BILiyinqB89C/urgH/BhYOxnPwOFAv2HHpR3XzGgcn0uex+7wFif2eOIvxxIWrMWAMvZs+iu9Wphj3cZKc5MpjBDPkq5QiGw3pDJia5xvqbbDEhZ9da2YYTkZE8n0GZxYJ1x+MXZ+UJbU8PMsWN+xy4MTmOyOthcJn8mfSBsnZ1oyso8hUCOIU3StS8DhtolynywGyC+2H53FUMdU7z2aAv6khSODhzlmpJrPI9hgyGLoowknjs94FfUjw+a+d0/v4XTLn2QZ+WnsO4Gw4LrHOs0kpmipjInvPd0klrJneuKeOpEL/94V2NwlkV+IzhmYbwTsqvCmnfaaGF22k5euQxMk6Zn4I8fRiMo+Hulg77Cmyle/e5FL0u/7VaMv/wl06+8Sua77vY7typ7FY81P4bdZUetiC+zJFbY+/pQZmejSF74s+CJlifISc7hhtIbwpqzQd/ArGOWrqkuKjMr5dpqRChrzKb95AjGATPZRcv3GZxAAkDMVPywNfbutcKl4ocbdweRUfEDNPYgExU/RNwdRE/Fn6+xl2aIlYofqLF3z7piqfjLEHcn/QzRUPEDNfbSNbFT8UPG3UGCip+g4suOK4N+73JJRX3h2qgud4yMMPnkU2S+8y7U+cG1oMuBinW5KJQCex9rwWKKjfIcC5IaG0EQmD171nNMFEWOdY7L2qV3Y2NpFheHpnE61eiT9PRO92JrbUNbWem5yxgso94X2upqHAMDOE3e7vjxLolGu6lM/j0HwtbVhaaszPPvXEMapnErs6YQ0WxxwkD7JEmpajLyQt98USoV3PyR1ag1Cp79n5NMz5jZWrDVc16hELh9bSH7L40wOSO9H0VRZP8TF1GqFNz/je0U1WRy8uVuT4EfDEc7jGwp10dkAHnfZgMWu4tvPteEyRrEET5vlfT3UPh09eFOif2RVxZjUd/0jBQtV7Se3sr3cNC1mvHd3160Sw+QtGYN6pISpp5/ft65Bn0Ddpedtom22Pa3BLD39YWk3ndMdvBG3xvcW3svamV4NyhWZUuvaZNx+dgKpY3SDcAEBT+BBBJIIIEE3ga4jN3vr4yifrwDbCYoWBPV5WO/+CWiw4H+wx+WeWOxISVdw80fpU3o/wAAIABJREFUaWS0x8RT/3Eci3l5CnulLhVNVSWWM96ivnd8luFpK5vjUCDvrMnBJcJrLcOU6EroNfVibW31uNqDN6M+mFEegLZmzgH/kpeCf7xrnNw0LSVZ8TWrc9ls2AcG/Ir6HIPU5VsOCv5Q+yQFlYs7zQPosrTc9OFGzMN2dre9j825W/zO37G2CLtT5M7/eoMP/eIob+3rpbdlnO13VZKZl8LmW8sxT1hpOTwQdP7hKQudYzNsLY+MLbGuJIMPX13BH473cst392MMzK3PrQeEyIr6rikUSiE2FozTAS98BQpWwwN/4kXDZ3nQ/iUMJWWLX4tEs0+/dQ/mQ4dwjI/7nfMUtZcBBV8q6oNT74fMQ3zylU+iU+u4t/besOesyKhAq9TSPNYs1zYjhi4rCX1RKt3nQ0QqJpDAUmMpM+yDrCW6xOBzBMuwD5Zj7xnuCno8rAz7YDn2gRn2YsC4MDLs3Tn2OEVPjr3357kMe3eOvcObY794hr3oybD35Nj75tT75NhHkmHvzrF32FSeHPsZm9qTYz9l03py7CftyZ4c+8Uy7N059maXy5Nj78DpybH3hVpQeXLsF8+wN3sy7N059ukqiyfHXqe2enLsk9U2T479Yhn2Lt8Me3eOfUCGfdAc+0Uy7N059r6Z9S6lT469wifHfu7ncDLsPTn2gRn27hx73yz6SDLswf868K4NfscFhcIrhVksw166gGBYkPkTJqMo5gx7OSGTnj6hqY8Fg3PFZhRFvWNsjPHHHyf99tvRzmWyryRUbchD+2k1z/7gFK/9uplbP75mWbSdyavXYDpwwKMtPebpestPZd9UmkVhRhLPnu6nuLyYSz2ncAwPo6n20qrdnXpd1sL0ewBrayspGzYAcLx7nM1lWXF//uy9veByoSn379SDZJZnaIg//d+NmSkb44Mz1G0PP+7M0KBncM1Zqs5u4MSvh2lOm2C4a5o9D61mbUkGn9xVRdvwNONnxjlyxER+eRqN10pd2pKGLPLK0jj9Wi+N18zv3B7tlN43Wysiew4EQeDrd67iplX5/M0jh/nVwU4+e1Otd4AmBfSVEZnlDXdNkV2smxe7FhEu/hWmeuHWfwVtGh1jnWSmqMlICZ8un37rrYw98lOmX36ZrPvu8xwvTS8lVZ1K01gT76p5V/R7jDOkjPp+dDf60+pPDZ/i6dan2d+7nxnHDD+56SfkpoQfHahSqKjKrOLS+KXFB8cRhno95w/04XS4UKqujPvgCVwBeDtQ8UPE3UEMVPyQcXfSBdFQ8QM19u6l325U/OWIu4NYqPiBGnv3sdio+KHi7iAGKn6IuDuIgYofbtwdREbFD1NjH/T6BCLClfENZfAMCErIbVh8bADGfv5zRKuVnE98PA4bkwcldVlcdXcVHadHObevb1n2kLR2Dc6xMRwDUgf2rc5x0rQq6grSZF9LoRC4Y20h+y6OkJNUiKp7EMCvUz89ZkGhFEjN0ASdQ11cjJCcjG3OAX94ykKPcXbJqPcAmtJSz7EknRpdlnbJO/Vd50YBKFsdvhmcxWHhhYzHmL2qg+4mI+0nR5iZtPKX/z6D1ezgCzfX8UBSJteZVHSqnTyvd+J0/+cgCNRtL2B8wMzE0My8uY92GEnRKKNOTLiqKpsbG/L49aFOZm1O/5MFq6H/dFjzuFwiI13T5Meqpz/yY8gwQN2tAHSNmSnPTo1oCm1DA6rCQsxvHvQ7rhAUNOgblrVTHQ4co6OIcxn1IEkyHm16lAdfeJCXul6iIbuBR256hLW5kcujarNquTg+P3ljKVFYnYHD7lq29IoEEkgggQQSSGCJcBnT76+cTn1uPaiDd20XgqWpifHHfit16SuXx4gpXKy73kD3+TGOPNNO/VWFqLVL6wadvEZiQcyeOYuioJBXmobYXpWNMk60mTvXFfHIgQ6MkzqKRqTiza+oN1rQZWkX7DIICgXaqioP/f54l0RtXoqi3t7dDYDah34Pklne6BIXBp1nx9BlackuDp9ifnTwKBanhe031rF6z0ZSMjQY+808/Z8neeKfjqLL0jLUMcXa3SVkl2v58p/O8X+fOsu/3bMWQRCoWJfLgd9dov30CBtv9n8OjnYY2VSWhUoZ/f3Eh66t4r4fH+KPx3t44Kpy74nSHdD0Z5johszSBa8H6L80gc3ipLguhvfDcDN0HoAb/5/Hcb9zdCYqFkLqtm2Y9u71d4ZGouD/7sLvcLgcqBQr8+PaHWenmSvqf3X+V3zn+HfYbdjNt6/5NqnqyG5y+KI2q5anW59mdHaUnOQcWfYbKQqrpTSUgdZJCipCm00mkMCSYwW44oedYQ+RueKHyLCXhkXpih8iwx7cHdbIXfEDjfPc25LXFX++O/uKc8UPNM6Dy8YVf36GvTRzNK74i7I95HDFD+jWQ/Su+CGN8yB6V/wwjfMWvH6pcRmTBVbmt8RIMXgWKq6L6BJbVxfdD30MZVYWeZ//XJw2Jh8EhcCW2yt46j9O0HJogDW7Sha/SEZo6+pAqcTS0sypyo0MT1t514aFjbFixZriDMqzU2juUXPNqIiYpPEz4jIZLQua5Hn2XF2N+c03ATjWNY5GpaCxKP5fym1d3VKcXUA0Yq5BR+fZUexW55LclHHaXfQ0Gandmh+R5OBA7wGSlElsKdiCVqkFJOf82z65hvMH+jH2m7nq7io23FyKIAj0T1r4wWutrC7O4IM7yknTJ5FbmkbHqVG/ot5otnFhaJrb1xTG9Li2lGexoTSTn73Rwf3byryGe+VXS393vgnrFy7qXS6Ri28NotIqKVsTQ5zd0Z+AKgk2fhAAi91J/+QsZdkpEU+Vsn0bk08/jfXiRb/YxobsBqxOK20TbdTp66LfaxzhibMrLubk8Em+d+J73Fh6I9/Z9R0UMRQbIBX1AJfGLy1bUZ+SriEjL5mB1gk23BT6ZlECCSwLlpmKHzLuLnBfkVDxQ8XdQfRUfPchuan4IeLuvEtHTsVfQMm8Yqn4IePufOeRDSuUih8i7s670sqh4oeMu4MEFf8ywOVPvzeNwPRA2Hp6x8gIfV/8Iu133Al2O6U/fWRFOd6HQkFVxpxeuWfJ3+wKjQZNSQm2jk6eOtFLepKK6xvy4raeIAjsWV1IU7eK4lGwlOT4dTCnjRZ0ixX1NdU4RkZwTkxwvGucdSUZaJZAE2vr7kZTWjqvkM4xpIEIY31LQ8HvvzSB3eqkfE34xZAoihzoO8C2wm2egt6N0lXZ3PqxNdz/j9vZeIs3ru+zN9WyszqH775ykclZycyxYl0Ogx2TmCe9/3nvvTCMKMJ1deHrqoNBEAQe3FFO59gMB1pHvSfyGiEpE7reWPDaGZuD9/74IKcODWBo1KPWRHlzZXYCTj8Bq++BFKkz32OcQRShIifyznTqtm3S/o4c8Tt+OZjluTv1FOTyxf1fpDC1kG9c/Y2YC3qAmizJG2P5KfiZDLRNIoqJLxkJJJBAAgkkcCVC4PI2yrv8i/rUHPg/Z2Hdexcd6rJY6PnEJ5l+6WUy77uP8j/8Hm1VeJnWKwGCILDuRgOTw7N0LYMbs6aiAkt7Oy+cH+SOdUVoVfHtNt/YkIfdmo5hVGS8wEsfdzpdmCesi3fq58zyplsucr5/Mi6mfsFg6+5GUza/o5dbKvkPLBUFv/PsKEq1guL68Cnm7ZPt9Jn6uLbk2rCvEQSBr9xWz+Ssnf/ZK8WvVazLBRHaT414xr1+YYQcnZbVMrAl9qwuIEen4TeHurwHFQoo2yF16oPA7nTxiUdPMNI2hdYJhx2W6Ddw6rdgn4GtH/Uc6hg1A0SsqQdQFxaiLivFfNi/qC9PLydFlbLii3qlXs9bk2cZNA/yhS1fIE0jj9eGPklPbnLu8hf1VRlYTPagPhEJJLBisAJc8Rcc74twXfHdLvXgcab3Ox6tK77vOKdTPld8l9cFX+GUzxVfiJMrvsnudcWfciTFxRVfhVI2V/x0jdcVP0Vjl80Vf54jvlyu+CqFxxXfzwk/Vlf8QEd8uVzx5+DbQJPdFV9QhM0oWjZX/ISmfhkhCIvqZ90Y+PrXsZw/T8mP/ou066+P88big6qNeex/4iJtx4cj6sDKAU1FBVNvHsS2yhFX6r0bG0qzKFU6yZ6GY3neGwjToxZEkUVz190a/I63zmB3Fi6Jnl6027H39ZF+663zzumytGhTVIwsgVme6BJpOzmCoSGybvTRwaMA7CjaEdF6jUUZ3L2hmJ+90c7A5Cx2h5N8pYvXn29n9bXFOF0i+y4Mc0tjQUT59AtBq1Ly3i2l/PfeVnrHZyjJmqO8l10NF56HqX5I949Y+9+9bey7OMLXivKxtE/zWNcwO84Nsmd1+MkAgPSl761HwLANitZ7DneNSQVfNEU9QOq27Uw9/zyiw4Ggkj6aFYKCen09zcaVa5Zn7+tDXVTES50voVPr2Fm8U9b5a7Nql90Bv8hHV59VEL1HQAIJxB1XEBV/nsYeVjYVP0BjD29PKv48jf3cZlYqFT+Uxl46HyUVP0Bj7706Rip+KI09RE/FD9DYgzxU/KA3+xJU/Ljg8u/UhwlLczNTzzxLzic+ftkW9ABKpYLSBj1dTcYlf5NrKspR2G3UYGZjafwLZKVC4B6NxEg4X+z95R8flDqiWfmhv1yrCgtRZmUxcVJyRN9QmhlyvBywDwyA0+nnfO+GIAhLZpY30DaBecJKzZbIJBLNY81kabMo1kV+0+Zrt6/iXRtK2H9xhEPtRsYKNCgnHfz5tU5OdE8wZXGwu14+ycb7tknP8eNHu70HfXX1PhietvA/+9q4pTGfpAk7Fauy0adr+eu5gcgXHm4CYztseL/f4Y4xM1kRxtn5ImXrVlwmk8fc0Y1V2au4YLyAw+VY4Mrlhb2/H2VRIa/1vMYuwy40yuCJFNGiNquW1onWZX38GXnJJKepGWidWLY9JJBAAgkkkEACcYRM1PtETn2cMfn00whqNfoPfGC5txIzylZnc+nYMCM90+SVxRjJFQE0FRUA3JA6K0u3NRxsnerCqhQ4nD7uOTY+KHVEMwtCG5IJgkDyhg0knTpHce3d5Oi0IcfLAVuXVGAGo9+DZJZ3dm8fTqcLZQwO8Ivh0lvDqDQKKtZGpl9vNjbTkN0QkbGeG/pUDf96z1q+5ZL8LWbMNn7+pTd55ZlWzpWoUCkEdtbIxy4pykxmV10efzzey2dvrJUc9QvWgjZd0tWvvdcz9rsvX8LmcPHZa6t59c0TrLq6iG1jDo60GxFFMbLH2/a69HeVfy5756iZ8ij09G4krZIiOS0tF0hq8MZzrspehcVpoWOyw6MxXykQRRF7fz+TW2qZtE5yc9nNsq9Rk1WD3WWna6qLqszlkUsJgkBhdSb9iaI+gcsFS+mKH26GfbDxIVzxQ2bYgzyu+L6t1hhd8ecZ54Hsrvh+nWE/rCBX/ADjPM/Pc8dXsit+8N5xdK7484zzQB5X/FDGeRC9K36oDPuA4545YFFX/JDGedKJIA8icOgSuuJfxqSAt0VRL9rtTD77HLrdu+c5kl+OMKzKBgG6z48taVHflyZ1WTcKU0u2Zk5HEyfyshhzGbE4LCSpkhgfNJOSoUGbvPjbN2XjBjJfe41tWUtzE8LWLWm81UE69SDp6p0OF8Z+M7kGeXTHgXA6XbSeGKZ8bU5ELvtWp5XW8VY+2PjBmNZ3xxympWmp2ZqP8ugQnYKCezcbSE+Krou9EN6zxcDHfjPMvosj3NCQDwollG73dOr7Jmb5xrPnefH8EB+6uhztpPRFoqAqg23pIs+dGaB3fBaDPgLH+rbXIKcWMvzZDF1jkcfZ+UJTVoaQlIS1pcXvuK9Z3kor6p2jo4hWK8eFblLVqewojky2EQ7chXzHZMeyFfUg6erbT45gnrCSmhn/G4QJJBAzloqKHyLuLuj14VLxQ8XdQfRU/FBxdxA1FT9U3B3EQsWf//yvZCp+yLi7ueNvByp+MGq+LFT8cOPuIDIqfoi4O1g5VPwF7rxclhAEYQ/wfUAJ/FQUxX9ZYNw9wB+ALaIoHltovrdFUW964w2cRiMZ77xrubciC1LSNeSVptF1bozNt1Us2bpvjjppVCdTPjOy+GAZ4DSZsLe0ML5zE3CStvFeGnOrGR+cIWuRLr1njgapa7x9ti+OO/XC3t2NkJyMKjd4h7ygUjKJG2ybjFtR33dhHIvJTs3myFIdWsdbcYgOTxEpBzZdZ6Dj8BDfuaaOum0RatfDwPX1eeTotPzurR6pqAco3wmXXuKFw6f4wl+HcLhEvnBLHR+9ppLjz3agUAjklaaxVSf9x3i4fSz8ot5uga6DsMn/xkcscXZuCEol2poaLBcu+B0vTy8nWZVMs7GZu1hZn2Fu5/sDrgs82PjpeYkJcqA8vRyQTByXE568+rZJqjfFL/kjgQRkx+XatQ8Vdzd3PKquvdPpNRfzRYxde8HplAzQZO7aK50iotK9UvDt+iO8rr3DpkKlkVHWNNe1N2ObM8RD1q59hnKGSWc0/8eG7tq7NJLpoN9DIfauvYiA4BDl79q7O+Zv06593LFEnXpBEJTAj4CbgF7gLUEQnhFFsSlgXBrwd8CR+bP4422hqZ969lmUej26a65Z7q3IhrLV2Qx1TGEx25dszTfbxhjJLEDd37sk682eOAEuFyXXSTrpJ8+cQRRFJoZmFtXTu3ExswS7Qkn18NIUBLau4HF2bqRlJ5GaoWGgbTJue+g+b0SpUlC6KrKucZNR+hxpyG5YZGT4yCtLIyVDQ8fp+NwIUisVvHtjMa+2DHvc5ymTjNqee+aP1OTreOmz1/Kp3dVoVAoG2yfJKU1DpVFSk6cjM0XN0Q5j+Av2HAbHLFTu9jvcOz6LKEZvkudGUn0d1pYWv+g0pUJJvb6es6NnY5pbboiiyJvHnwagom4bD619KC7rpKhTKEgtoGOyIy7zh4scgw6VRpHQ1SeQwOWOKORlYUEZn3nFOAUNyVrQ+yA1GBNCBkRX0C+OwIJeLgiOOFWH8YpWTUS2Akuqqd8KtIqi2C6Kog14AoJ2br4J/BuwaGTTFV/Ui04npjcPotu9C0EtL/V3OVFcm4UowlDn0lDhHU4Xh9uNiIZSbB1L8+V65q1joFKx8RZJp/vShSZmpmxYZxyL6undODMyy6XMEjLaWxYfLAPcGfULQRAECqoyGWiLX2HQ2zJOQVUGqggz2JvGmkjTpFGiK5FtL4JCoHxtDt3njTjt8bkD+6GrK9BpVXzmiZPYHC5eGs/HJCZxX24Xv//YVZ4uvNPpYrhzisI5toRCIbC1XM/RzgiK+rbXQaGW2AA+6DFKPg8R0fiDQFtXj3NiAsfwsN/x7YXbOTtyluGZ4QWuXDrM2Gd4tu1ZPv3ap9n71h8A+Nwd/yJLLv1CqMyoXPZOvVKpoKAyI6GrT+DyhAxxd2FpWkPE3QW9Ptj4cOLuAo4TeNwnNk8UXd7Iu8Xi7tzXeuLt5sfduSPvpDYv4cXduSPvHN7IO78IPJ/IO3eUXThxd+7Iu3lxd3ORd4LdG3kn2BSeyLvF4u7ckXeT9mRP5J3RkeqJvJvwibybdiV5Iu8iibtzR96lCCpP5F2K4PJE3qUpLD6Rd6Hj7tyRd8lqmyfyTqt2eCLvlBqXJ/JO1Hgj7xaLuwsaeTcXb+eNu8MTd+eOvFs07s4deTf3szvizh155/l5Lu7OHXm3aNxdsMg79zwBkXeCoPBG3i0Wdzd3XFAovFIY3/FuxBJ3F2L8ZYocQRCO+fwJ7HwUAz0+/+6dO+aBIAgbAIMois+Fs+AVT7+3NDXjmpwk9Sr5tZ7LidyyNBBguHOKssbsuK/XOmLCZHWQXlOF48Q+nCYzSl38op1cFguTzz1HyoYN5GeXoRTUjFgGOHpmCCBs+v3Z3kkcRdU0Nh3AZbOh0MjrzO0L0enE3tND2vW7Q44rrMqg7cQwpnELuqwkWfcwM2VjrM/EtrsqI762eayZVfpVUZnkhULF2hyaDvTTd3Gc0ji8Vwsykvi3e9bysd8cZ9e/v07/pIWn0hrZqb6AwseMcKzXhMPuIr/S60OxtULPS01DDE5aKMhY5LVwueD8nySHfa3O71TXmMQSKI2xqE+qrwPA2tKCOt8rn9hTvof/Of0/vNz1Mvc33B/TGrHiq298lVe6XyFDm8E31WtQZHaRnhlfOnpFRgVPXXoqclNDmVFYlcGx5zuxzTrQhOHpkUACKwoxauylKZaQih8i7g5ioOIHauzd1/giCir+olTqqKn4gRp7PMeCbdcfC1PxlyPuDlaegV4ojT1ET8UPpqmXhYqvUMzdOJLZQC9U3B1ET8UPobGXDq8wKr58hIVRURQ3hzgf7IPUs7og3XH5LvBguAteUbdEgsF86BAAqdu3LfNO5IUmSYW+MHXJOvXn+6R1CtbUA8S9W2/85a9wDAyQ8+mHUQgKinVFqLUT7DvWDxB2VvSZ3kmsq9cj2mzMHDkazy3jGBxEtNsXNMlzo7Ba6hTHg4Lfd1FKCSipjyxy0O6yc3H8oqzUezdK6rJQaRR0nB6VfW43bmks4O+ur6ZEn8Lnb66l4ao9KEYvgMnb2R7qmHsPz3XqAbZVSDcZjnSMLb5I536Y6IIND8w71W2cJUWjJEcX200jbZ1U1Fta/HX1lZmV1GbV8kLHCzHNHytMNhP7evfxnrr3sP89+6mypKMpjjz+MFJUZlQy65hlaGYo7muFQnGdxJDqaYmA3ZFAAgkkkEACMkFwLVOx+3aAKOOfxdELGHz+XQL0+/w7DVgN7BUEoRPYDjwjCMKCNwqu+FaD+dBBtHV1qHLki9JaKcgrT6fr7OiSdK/O9U+SolFSsraWLsDW2UHymtWyriGKIuO//S3OMSPGX/4S3Y03kLp1KwCGtBKmZgboPTZFoUaDLgz36VGTlb6JWTJvuhrFcz9m6oW/ortm56LXRQtbdzcAmtKykOOyS+a0uW2TEZvZLYbelnE0SUrySiMz4WufaMfustOgl7+oV2mUlNTr6W4Ko3COAX9/c533HwO3wP5/hpa/wOYPATDaZ0KbokKX5X3vNBSmodOqONph5K71ixSnJ34NSZlQf8e8U93GGUr1KTH/HirT0lAXF2O9MF8usqd8Dz84+QMGTAMU6gpjWidaHOg7gN1l57aK21AICux9fWirq+O+bkWGZAjaPtlOQar8hovhorAqA22qio5To1RtSJjlJXCZQgbjPFgCV/wQcXfS8Ohc8cOOu4MIXfHDcDWPyhXf3zhPuiZ2V/xA4zzZESzuDlhprvjhxt1BsAb4wq74oeLuPHNG4YofMu4OonbFD2mc574mVlf8IN33WF3xL2O8BdQIglAB9AHvBd7nPimK4iTgKV4FQdgLfP5t637vsliYPX6CrPuXl64aL+SXp9NycIDpMQvpOclxXet83xSrCtNJKi8DhSIunXrzG28w9M1/AkCRkkL+5z/vOVekK+LMyDmyHALOdFVY9L+zfVInfHV5Hmk3XM/0K68i/sM/IMSJgr9YRr0bSqWC/Ip0BuPQqe9tMVJUm+VHOw8HTWOSSZ6czve+KKrJpPPMKOZJK6kZSxAHVrAW9JXQ9LS3qO8xkVOi8yu8VUoFm8uzFjfLmzFC87Ow+cOgnk/T7zHOUBqD870vtPX18zr14C3q/9T6Jz65/pOyrBUpXu1+FX2SnnW56zwZ9brrrov7uu6ivmOygx1FyyelUigVVKzJoePMKE6nC2WEv2cJJLBi8Dam4oeMu3Nf44swqfih4u68P88hAip+6Lg7CCxAw6XiL0fcHaw8Kr77WZSfii/OXSM3FT/I+0kGKn7IuLvAayKh4ocZdycdXn4qfpgmdzFDFEWHIAgPAy8iRdr9XBTF84IgfAM4JoriM5HOeUV/I5k5fhzRZiN1x1XLvZW4IL9c0gbHm4Lvcomc75+ksSgdhUaDuqQEa7u8Rb3ocjH83e+iLimh7vQpao8eQVNe7jlfrCtm2jZJsaig1W7D7lz8F/xs71xRX5xO2p49uCYnMR8+LOu+fWHr7kbQaFDlL959L6zKZLRnGptFPvfZWZONqVELRXPRW5GgaayJFFUKpemhb0hEi8Iqb5TfkkAQYNU7oeMAmMdwuUSMfSZySuYzGLZW6Lk0bGLMFOJLw9k/gtMWlHoviqKnUy8HkurqsHV24rL4G50a0g3cVHYTvzj3CwZMA7KsFQlsThsHeg+w27AbpUKJ02hEtFhQFxXFfe3spGzSNGnL7oAPULE+F+uMg4FLCcO8BBJIIIEEEriisHT0e0RRfF4UxVpRFKtEUfznuWNfD1bQi6K4K1SXHq7won76pZcRkpNJ2bRpubcSF+iLU1GqFHEv6jvHzJhtThqLpcJMW1Ehe6d++sUXsTY1k/vph1FotQgq/7vFpemlpFuzUTsFWh02/nh88Vi9M72TVOamkpakJvXqq1GkpTH1/F9l3bcvbN1dqA0GLx0wBAqrMqT0gg75XrvxQcmBPasw8uKy2dhMvb4+bg7muYY0lCoFA+1LVNQDNL4TRCe0PMvk8AwOu4vsEt28YdsqpOi/t0K54J/5HeSvgYL5kpMRk5VZuzOmjHpfaOvrwOXCeunSvHNf2PwFBEHg34/9uyxrRYLHmh9jxjHDDaU3AN6MevUSaOoFQVgRDvgAhlV6VGoFF48O4Qrj5mICCaxoyOCKH/Y6kbri+8LHzd47JkpXfM8/Xd55ZXDFF1y+rvgu2VzxBaevK74omyu+wscVX7TL6Yqf6nHFn3BpZXPFz1RYPa74kiO+PK74gtrriu9SizK64gseV3xRKcjmiu9xpp9zxJfNFV/hdcX3QA5XfPf6vnh7u+LHDVcs/V6025l+8UXSrr8eRUp0X7bHzTYOto1xonuc1mET795UwjvWxb8rFS6USgW5pTqG41zUn+uX5l9dJBX1mooKzIcP++vZYoC1o4PBb3wTbU0N6XfM1ysDVGdWk2uSusiZJamNcJH5AAAgAElEQVT84NVL3L2hmCT1wrFtZ/sm2FElyVEUGg3pt9/G5JNPkfPww2hK5C9E7F2h4+x8kV+ZAYJklmdoiCxPfiFMDM0V9WEmA7jhdDm5YLzAPbX3yLKPYFCqFeSVpy1dpx68FPzzTzMq3gpATpCifk1xJklqBUc6jOxZHUSrPtYGfcfgpm8GXUauODs3kuolM0pLSwvJa9b4nSvUFfKRNR/hhyd/yOmR06zLXSfLmovhP4/9J784/wt2leziqiKJ+bSURT1AbVYtf+34K06XE6UiTsHNYUCtUVKxPpfmgwO0nxph2zsqWbNLvhjIBBJYcsRIxQ9bY+9eK1wqfrB9yUHFD9DYg0xU/Hkae+mCWKn48zX20gyxUvEDNfbuWVcsFX+JNPYgDxU/UGMvXRM7FT9QY+89N4crnYofZywV/T4euGJvfZgPHsQ5MUH67bdHdJ0oivxkfxt3/PAAG//pZT712xM8eriLS0PT/N3jJ/n2X5sRxZXziucY0hjrNcV1T+f7JtEoFdTkSwWRpqIC0WrF3h87Bdje10fPRz4KgkDJD3+AoAz+Zd2QZqDAXI6odPHR2+sZmLTwhxDd+qEpC0NTVtYUe53Ocz7+cVAoGP3hD2LedyBElwtbT0/YRb02WUV2kY5BGfPqJwZnUKgE0rIj81fomOzA4rTETU/vRmFVBiPd0zhszsUHywFBgIY7ofMNRjvHUCgE9IXzUxM0KgUbS0Po6s/8HhBgTfCbHt1zRb1c9Ht1SQmKlBSsQXT1AO9veD/pmnR+df5Xsqy3GPb27OUX53/BvbX38r3d30OlkL4AeYv6pbnRuSFvAya7idaJ1iVZLxSuf6CeWz66mop1OaSGYdqZQAIJJJBAAglcBlhC+r3cuGI69c7JSRxjY2grKwGY/MtfUGRkoNt5ddDxP9nfxnNnBkjVqPj8LXVsKpMiwI51jfOt51tYZ8jk72+sZUd1DmtLpMLwH545z4/3tbOtQs/19fK6lkeL7GIdNouTaaOF9AiLuXBxuneC+sI01HOmUNpKybTK1tERU8d76uWXGfjq18DlovQXP/fT0AdCpVBhsNQwmzHOzrocVhen89jhLt6/rTSo47hbT+9+7QDUBQXoP/AAYz/9GVkPfIDk1Y1R7z0QjpERSV+8iEmeLwqrMrhwdBCXS0QRTodjEYwPzZCZlxLxXM3GZoC4ON/7oqAqE9eL3Qx3TVNUE7nuPyrU3gpvfp+xSz1kFWaiVAe/j7m1Qs/3X73ElMVOepLae0IUJep9xbWQHrx47RqbQRCgJEue3z9BoUBbV4cliAM+QIo6hfvq7uNnZ39Gz1QPhnRD0HFywOKw8C9H/4WqjCq+su0rfh1yW18fyowMlLr57Id4YGP+RgBODp+kTl+3yOj4QqVRUr0pj+pNCQf8BK4gyOCKH3a3HiJzxQ/s1kP0rvihMuxBFld83+5qzK74ITPs3bO5j0fiij/fnX1Fu+IvQ4Y9RO+KHyrD3n08Glf8kBn27pWiccUPlWEP0bvih8qwh8hd8RNYEJd9p94xOkrXBx/k4o6rab/tdkZ++F+Yjxxl+pVXSb/5pqBO54OTFv7jxYuYrQ4uDZv47O9OYbFLv8q/PdJNmlbF4x/dxqdvqGFTWRZqpQK1UsE/vqOR4sxkfvBq64rp1mcXS1+ojX3muMxvd7o41TPhuekBUqceYsuqt/X00PeZ/4OmrIyKPz01j2YcCJdLJH0qn8GUTgRB4H1by2gZnOZkT/BO95m+SRQCrCpK9zue/ZGPoMzJpudjH8PS3Iyts5OZY8cwHz2K0xT9c2jr6gIWj7PzRUFVBnaLk7E+U9Tr+mJiaIbM/Mi7xU1jTSQpkzwO4/FCQaX0Wgwupa7esBWS9YwO2oPq6d3YWqFHFOFYoK5+vEP603Dngtd2G2coTE9Cq5KPEq6tr8N64eKCnzPvq38fSoWSXzf9WrY1g+GRs4/QZ+rjq9u/ilqh9jtn7+9fMuo9QFFqEXkpeZwYPrFkayaQwNsOC2jfw798AY38QmstMEdY+wqmsZ/7zBRdLi8N2Od4UI393Dyi6PLq7AM19sF09r56/CAae7fOXtLY49HYu7X1/j/76Ox9NfVBNPZunb1XP+/92aOxd+vsAzT2fjr7AI294KOxd+vsnTavzt5q9+rsZ+0aj87eZPfq7INr7FM8Gnu3zn5GVHh09jOiw6Ozt4uOoDr7YBp7t84+TWHx0dnPeHT2epXZo7PPUM96dPbpGq/OPpjG3q2zFzVenb3oq7P31dH76OwX19jj0di7dfaeMT6aeo/GXuWjsZ/T2QfT2Is+Gnu3zh7lAjp7X/38Yhp7waux9+jsffX5bvje9PI5vqDG3j2PLwRF0BuKgkII70ahXJCrS79MJeJlX9Qrs7IQnQ6y//ZvSb/zTkZ/9CO6P/hB1Hl5ZH/0o0Gv+d99bbhEkV9+aCs/eO96uo0z/PfrrYybbfzl7ADv3FBMimb+3Um1UsEndlVxqmeCg23xzdwOF9lFEp14VKbCMBBN/VNY7C42l3l138rsbBRpadg6oy/qxx9/QqLc/9cP0RgW7zRODM6gcKjo1DZjspl4x/oiUjVKfnukO+j4w21j1OanzXsdlRkZlP3q1whqNR13v4u2PbfS9f4H6P7AB2ndvZvh//wuoiNyR3pbu2TgpSkPv6iX0xHe6XQxNTIbVVF/fOg4q7JXxV2nnKzTkJ6bHHcPCD8olFjK78RsTSE7hIHgBkMWaqXAkUAKfs9b0t+l2xe8tm3ETHnOfFp/LEiqq8c1PY29rz/o+dyUXPaU7+Ev7X/B5rTJurYbTWNN/Pzsz7mj8g62FGyZd97e17dk1HuQzPI25G3g5PDJJVszgQQSSCCBBBJ4e0CQ8c9y4LKn3wtKJeWPPgpId2Y1BgPOiQnyPvf3KFLnf9EenrLw+NFu3rWxGIM+BYM+hXeuL+JHe9t4qWkIm8PF+7YtTKG+Z1MJP3ztEt975SI7qrKDUr+XEppkFWn6JIxxKurdjuCby72dekEQ0FRWMHv+PKIoRvwcuCwWJp98krQbb0QdRvwbQH+r1JEf0XXTOtHK+rz1vGN9MX862cvnbq6lMMNLfb44NM3RTiNf2lMfdC5tZQXljz3KxJ+eRl1YgKqgANFuZ/KpPzH2k5+gyslB/4H50WWhMHv6DMqsrIg6l2nZSaRmaBhom4zZaGtqZBaXS4zYJG/IPESzsZnPbPxMTOuHi7yyNIbal7CoB4z6mwDQq3uA4GyEZI2SdSWZ83X1vUdBo4O84H4DLpfIpaFp7tssLwU+qV6il1svtCwocbmt4jaea3+Og/0H2WXYJev6NqeNr77xVfRJer689cvzzouiiL2vH93VO2VddzFsyNvAi50v/v/snXd0XNW5vp8zo9Got1GX1SVLstxwLxjb2MaAISShhRJICBdy03uB/JLcJAQCN/deEpKQkIQQIKF3AzbGxmDjjotsq1myZPXeu2bO74/RyCozR1POFEn7WUtrjc/ss/e2LMn6zn6/96Wuu46EECumhgKBQB18QIpvd4Y9OCbFV8iwNw9zUoqvkGEPzkvxJxrnWbY166T4E43zYFZK8ac0XvQxKb6icR4IKb6KTPuifiySRkPMN76uOObXbxdiNMl8ZUPW6LX/um4+hhA9r5+oYW2WgbyEMJv3B+i0fO3ybP7fa6d5v7CRzfO831tvmBNCs5vk98cq20iOCiQuLGDc9bCrrqLxod/Q+o+nMHzxCw7N2bn9bYwdHUTeeqvd95Qcqick1p+2wIbRov4/1qXzxokavvz0MZ6/d/WoE/4zByvx12q4aZntQlmXlETM17467lrI+vVU3XMvTY8+SujWK0YfOMjDwzQ9+jtM/f3E/fAHk+L2APpOniRw0SKHHnBIkkR8ZoQqJ/WWODtHT+o/rPkQgA1zNri8B3uITQnj3NFG+roGCQyd3BrjDtr85gGVRHXvBy6zOW5FehR/+bCc3sHhiwqPqsOQtBRsqBhq2vvoHTQyNy5U1T3r584FjYa+ggJCN22yOmZVwirC/MPYUbFD9aL+Dyf+wLn2c/xx0x8J14dPen+opga5r2+0FcdTLIk199UfazzGNSHWkzIEAoFKeNkVX7HHfuK+HHHFn9hjbxnvqiu+Qo89uOCKb6WQV8MV3/q/qu+64k/qsYdp5Iovjbyngiv+8OSvJ9Vd8ccW6WP+Ys644k/qsYfJxb0DrvhuZxo/O5j28ntH2F3UwGsnavnqxqxxctnwQB3/75p5HL5vM0/ftXLKeT63PJmM6GAeereIYR/IKTYkBtPe0ItxSN29yLLMkYq2cdJ7C1F33knoli00/vd/03vsmN1zGtvbaf7DH9BnZxO0YrKk1xrtjb3UlXUwf80cgnRBo+7XGTEh/O/NizlZ3cHX/32c9t5BuvqHeOWTGq5ZmIAhxDFXakmSiP/p/0MeHqbhV79ClmWM3d1U3ftlWp54grann6b2vvuQjePd243t7QyWlxO4eLFD64FZgt/V2k93m2v/GY3G2TlY1O+t2ktSSBKZEZkurW8vsanm4rexsssj6wG0Nhrx0wwS2rRHcdyK9CiGTTKfVI74NAx0Q8Npc1++DUobzX+PnHh1zeI0QUEELlpEz8cHbI7RaXVsTt3Mnqo9DBjV+2XmZNNJ/nHmH1yffT3r5qyzOqb/9BkAAvLVM5u0h7mRcwnzD+NAre3Pi0AgEAgEAoEzSLI6H97ApaJekqQbJUk6I0mSSZKkZWptyh30DRq5/9XT5MSF8tWNWVbHaDSSXc7hOq2GH1yZy7nGbn70SgEdfUNqb9chDHNCkE0yrfXqntZfaO2luXtgnPTegiRJJDz4IH7R0TQ9al9EnGwyUfujHzPU1ETCrx+w+1S7+GA9kgQ5KxPIjMiktK109L0r8uP56TXz2F3UyOW/3cuaB3fTPTDMHWvS7Jp7Iv7JyUR/7at0vbeLzjffpOa736Xn0CESfvVLYr71LTrfeJOWv/193D19BQUABC52PDM8Ict8ClrnYrRde0MvgaE69EG6qQeP0Dfcx8G6g6yfs95jbSQxKaEgQWOl5yT4rXU9RIX3I9V+AoO9NseZTTEl3jk9EtVY+4n5SfEc20V9cb257SUrVt2TeoDgdZfSX1DAcFubzTFbU7fSM9TDvup9qqxZ2FLIjz78EXFBcXxv2fdsjus/cwZ0OvQ5c1VZ1160Gi0bkjfwQdUHDJm8+3NXIJg1uGCcZ77dAeM8K2vZvN+acZ4187zR4TaM8yZeHzPHqHGeNfO8qYzzrJjnjZrjmS6ubTHLs5jnXXxt3Thv1Dxv+KJ5nmQca54nj5rnScYx5nkTDPImGedZ3huURs3zNGPM8+Shi+Z5w4N+o+Z5vYO6UfM8a8Z5FvO8DmPQGPO84FHzvHaTftQ8r8dkGjXPG8Y4ap43FotxnsU8L1ijGTXPi9AMjJrnmY3zekaN8yzmeWF+/aPmedaM8yzmeX7+F83zJN1F8zyTTh41zzP5jzHPm8o4b8Q8T9YyxjxPGjXPk7XSqHneWKM8k3aMeZ4V4zyLYd6412PM8y4a61kxzrOY51kzzrOY500wzrOY540y9l64uDZYN86bcH10DmvmeQKHcFVDcxr4LPBnFfbiVv55oIK6jn5+d8sl+Pu5/oWyNT+Oe9dn8MSH5ewtaeLRzy1mTWa06xt1AkOi+ZSwpaabmGT1igtLf7G1k3oAbUgwUXfeSePDD9NXUGDVwX6gtJTeT46jCQqi7fnn6Dt6jLj775/S7d6CbJIpOlhHcl4UIZF6cqNyeef8O5hkE5qRb/i7Lk1nZUYU/7OzhOgQPdctTmRxsvORaYa77qJ71/vU/ujHYDIR//OfEXGDOaO895NjtD75JFG334YmyHwq3nfiJGg0BMy37+80bq05Ifj5a6gv6yB7mfOtHI0XukaTEOzlQO0BBowDrJ+z3ul1HcU/0I/IuCCPntS31fUwJykEWoeg5qg5ns4KoQE6blyWzItHq/nqxiwSqw6b35hj+3llaUMX8WEBhAfa/zDFXkIuvZTm3/2env0fE37NNqtjlicsJy4ojr8U/IWNKRtHvyec4dnCZ3nkyCNE6CP4v43/R4i/7a+n/jNn0GdnobGSLuJuLk+5nDfK3uBo/VFWJ672+PoCwaxkBknxFePuLNd9SYqvFHcHs0aKrxh3Bz4nxVfqsTe/76QUXyHuzvzaSSm+Uo89OC/FV4q7Y8x4sFuK71Zmq/xeluVCWZaL1dqMu+geGObxvWWsnxvD8jTrBaqjSJLEj6/K442vXUpYgB+3//UQT+533g3eFSLiAvEP9KO2xLXT3okcKG8hKtif7Fjbv9xH3HQjmpCQSafXAP3FxVR87hbqf/Yzar//fYYuVBH/s58Sefttdu+hobKT7tYB5q6MB2BhzEK6h7qp6KgYNy4/MZy/fWE5v7lhIWuyXHu4Imm1JDz0IJqgICJvu43Iz31u9L3oL38ZY1sb7S++OHqt78QJ9NnZaEMcd0DXajXEpYVR50Jf/UDfMC013aNu+vbyQskLRAdGW3U2dycxqaE0eeikfqB3iJ6OQaIykgEJKj9WHP/VjVnIyPzxg3NQdQii50KQ7Z8ZJY1dZMe5J6c9ID8fbUQEPR99ZHOMTqPjm0u+ydmWs2wv3+70Wmeaz/DIkUdYl7SO1z/9OotjbbeSyLJM/5kzBHpYem9hTeIaAv0Cef/C+15ZXyAQCAQCwQxlGkfaecwoT5Kke4B7AFJSbLvLu4Mn952nrXeI72xRXyo6Pymc1792Kd9+/gT/9eZZ0gzBbMyNVX0dJTRaDSnzoqg43WK/4+wUyLLMwbIWVmVEKbYkaENCiPzczbT8/UkGq6pG4+mG6uupuudeNCEhpD7zNLLJhD4rC43esT738yea0WgkUucbAFgYvRAw9/1mRGQ4+bebGn16Otn7PkITMN4gMGjJEoKWL6flb38nZNMmMJnoO3mSsG3WT1LtIT4znE92XGCwfxj/AMe/JevLOkCGhGz71QmVnZXsr9nPVxZ9BZ1W/VNmJWJTwig51EBnSx9hhsCpb3ABi4FgVIoBqhdA5X7F8UkRgdy0LJlXjpznF4H70Fxi28zRaJIpbejm86vsjzF0BEmrJXjtWrr37x9/ujSBbRnbeKbwGR795FFWJ64mOtCxh1oDxgHu23cfhkADD6x7gDB/20ahAEM1tRg7OjzeT28h0C+QtYlr2X1hN/etvM8ldYJAIHAQT7riW1lHDVf8ScZ5oL4r/tijVhdd8ScZ54HqrvjjTobH4UOu+BOM80ZfTwNXfOvnzM654k8yzgN1XPGVjPPAeVd8K+73arniC8Yz5U9mSZJ2SZJ02srHdY4sJMvyX2RZXibL8rKYmBjnd+wgjZ39PL63jCvmxbHIBUm2EiF6P35/yyXMSwjjm88dp6rVdt+uu0hbYKCvc5DGC+rImi+09lLb0c/qDMOUYyM/fwdotbQ++Q8AjF1dVN1zL6bubpL//DgBeXkE5uc7XNADlJ9oInFuBAHB5sIzLTyNUF0oBc0FDs/lKBMLegsx3/42xq4uyq/eRvmnzN8GEZ/5tNPrJOVEIptkqots904rUXeuHUkjEZ9u/0n9c0XP4afx48acG51a0xXSFpqLzqID9QwNGnnrsZOc2HUBWVb/0WZrndlnIjIhGFLXmnPnh5Vz3b+5KZs1/mVohnsZSttgc1xVay8DwybVne/HErzuUozNzfSfPm1zjEbScN/K++gY6OCW7bdwtuWsQ2u8WPwi5R3l/GLNL6Ys6GGknx7Pm+SNZVPqJpr6mjjReMJrexAIZi02et/tv122r89eocfe6v3WxtvTYz/hOhOvj+nVl2XTxT77qXrsLfeO9tRP7rG39Nmbe+wZ7bG39NZb7bG39NkPX+yzH9d3P6bP3tI/b+mxt/TZW+ux19jqsR/ps5eGLvbZS4Oa0T574+DFPntrPfaWPvuOocDRPvvW4eDRPvv2MX32XaaA0T77Xlkz2mc/VY+9pc8+SPIb7bMPkkyjffahmv4xffa9o3321nrsLX32gbrB0T57vW54tM9e628a7bOX/S/22ctj++yt9Nhb7bMf6am/2GPPaI+9pc9+dIytHntLn/3Ia0tfvaXPfvT1SI+9pc8e7YQ++4k99tb67C3zTOizlyTNxT77sffC5B77keuSRnPxsGJsT74Faz327n6Ir5JJns8a5cmyvFmW5flWPl73xAZd5eEdxQwaTdx3dZ5b1wnQaXn89qUMGk38aW+ZW9eyRsp8g1ldXNCsynwfl7UAsNoOnwBdXCzh115L+yuvMHjhAtVf/wYD5eUkPfooAbnWs+Ltoa2+h/aGXjIWX3wIpJE0zI+ez6mmU07P6ypBSy4h8523CbvqSkLWrydj+1tOOd9bSMyOQB/kR/mJJqfurz3XTkxyCDq99di1iTT3NfPaudfYkrrF4VNdNQiPCSRlXhSF+2s58d4FKk+3sP+lc7z397OYVE6TaK3rwU+nIdQQAGlrYbgPapTTGmLDArgvt55hWcNj521noRfWmVsI3CW/BwjdsAH8/OjcsUNx3KKYRTx11VMA3Lb9Nn73ye/scsQ3ySb+XfRvFscsZm3SWrv21H/mDPj5mWP3vMTlyZcT6BfoUsuBQCBwEU8a6Dly/1QGemOM8mSTST0DPaPRLQZ60pBxTJGvnoGedkC+WNxPKOxdMdDr6QkYLe77hvxVM9BrMg6OFvdD8rBqBnrp+qbR4j5c16eagd5wkHsM9Ez+mtHifqyhnssGepZi3VLYu8NAz4IrBnruZhrL76e9brF3cJgfv3Jq9BfssRwqb+GlY9XcdWn6uAg7d5FiCOLK/HjeOllL/5Bx6htUJDDEn/j0cCoKWlSZ70BZCzGhejJj7Pu8Ge76InJ/P+XbrqH3yBESfvVLQi61r0iwhaXITV80vvBcELOA0vZSeoc8r4iwoIuPJ/E3v2HOo/83mmfvLFqthrQF0VScasboYFFrHDLRWNFlt/RelmV+eeCXDBoH+fKiLzuzXVXIvyyJ7rYBDr91nrSF0SzflkbpkQbKT6jzUMpCS3U3kQnB5haStEvNT3nL90x5X0bnES4E5vG3Iy0MDFv/Xn79RC2GYH/yEx3zMnAEbUQEwatX0/XujimVDPMM83jhmhe4OuNqnih4gm/u+eaUDvEf137Mha4L3JJ7i137kWWZ7n0fEZCX55TyRi2CdEFsSN7AjsodDBnd64Jf2VnJbw7/hpvevInfffI7hkxDFDQV8EbZG+y5sIeqziq3ri8QCKYJ7kqR0bpnXtm+cwCH8fMfnnqQEwTbaEFzlQ6jY1HA9qIZdM+/mzTsporRDWpJt87rJmb0Sb0SkiR9RpKkamA1sF2SJOXjJDfQM2Dk/cJGvvrsJ3T1X/zl7mRVO3c/dZQ0QxBfsxFh5w6uXzqHzv5h3i9s9NiaFtIWGmi60EV3W79L88iyzIHyFtZkGuyOOtNnZRF29dX4JSSQ9uwzRHzaeTk6wGD/MKc/rCEuPYyQyPEy+EUxizDJJs60nHFpDV8i45IYBnqHqS11zOywsbIT47CJxEz7ivrXy15nd9Vuvn7J18kId58nwVSkLTAQHO6PRpJYe30Wy7alExYdwKk96hVIJpNMw/lO4tJHJOWBkZB4CZR/oHxjbyvUfIKUuYHugWEOlrdOGtLY1c+uwgZuWDpHlTQNJcKu3MpQTQ39Z6aW1UcGRPLApQ/w09U/ZX/Nfn6w9we8WvqqTZn6vwr/RXRgNFtSt9i1l75jxxg4WziaBuFNrsm4ho6BDvbVqBPnZ43eoV7ufe9eXih+Aa2k5YmCJ9j4wkZufftW7t93P9/Y8w3eOv+W29YXCHweFU7rhRRfWYqvGHfnghRfKe7OFSm+UtydK1J8e+PuHJXiK8XduSLFV4q7c0WKrxh354oUXynuzhUpvlLcnbNSfIFVXHK3kGX5VeBVlfbiFDGhen5/yyXc+tdD/OClUzx8w0IOn2/lW8+fIDxIx7/+YxWhAZ4zAluTGU18WAAvf1LNtoW2pbvuIPOSWA6+Vk7pkUYuucJ5M8KPSptp6hpgY45jhn+J//0ISJIqmeeH3zpPd+sAW+6a3Le7INocHVfQXOBx53Z3kTwvCj+dhvPHm0jOtT+h4UJhK5IECdnKp8Um2cSfT/2ZP534E0vjlvL5eZ93dcsuodFq2HB7Lv09Q0TEmZ+SL9gwh/0vnaPpQpc5z95FWmu7GRowEp8x5nOTsRH2/S/0d0CAjc9Z2W5AJnHpNoILuthxpp71c8f7gLx0rJphk8zNy5Nd3udUhG7aRN3Pfk7XjncJnG9fH/uNc2+kY6CDRz95lF0XdgGwJHYJ9628j5yoHAA+qv6Ij2o+4iuL7TdLbH3qn2jDwwn/1LXO/WVUZHXiaqIConiz/E02pmx0yxp/OvknarpreHLrkyyLX8bOip28UfYG65LWsTJhJT1DPRgCp/YdEQhmNC7G3Zmn8KCBnkLcHbhgoGdv3B04ZKA3pQGa0wZ69sXdWe4fj20DPW/E3YHvGegpxd2B8wZ6Rq1kfkgDk+PuLNecMdDTaEYeHKlsoKcUdweOG+i5m+klLBjHtJffA6zMMPDDK3N453Q9yx/YxZeeOkpKVBDP3bOKxAj3umtPRKuR+PQlSewtaaK52x0/OGwTERdEbGooJUfqXZrnr/vOExuq5+oFjj2UkDQapwv6wf5hTu2p5uWHj/Lig0c49X4V89Ylkpg1+QQ6MiCSpJAkhw3BfBmdv5bU+QbOHW9ySIJfcaqZ+MxwAkOU88JfLn2ZP574I9dkXMPjmx9Hq3GT7s4B0hZEk7vq4tdY3poE/PRaTu1W57S+vtzckjMu6i9jA8hGqFA43T36JESkoE9bxYacWN4724BpzAlPUX0nzx68wKqMKDJi3NdPb0EbEUHwypV07XIswu3uBXfz4c0f8u717wIIxisAACAASURBVPLjFT/mQtcF7njnDj6o+oDzHef5yf6fkB2ZzRfzv2jXfIPVNXS9/z4RN92EJtCzP1etodPo2JK6hY+qP3JLK05pWylPn32a67OvZ1n8MgCuSLuCxzY9xs25N5MWnkZ+dD7xwfGqry0QCAQCgTUko3uqTslk/++eM5npLL/3WKSdu7nnskxWpht48VgV4YE6vn55NgE67xQu1y1O5PG9Zew4U89tK1M9uvbcFfHse7GU1roeohIc9xEoru/iw5Imvr81x+2yYgsmk8wbj56g4Xwn0ckhBIXpyVoay+pPZ9q8Z55hHmeaZ478HiBnVTxlx5u4cKaV9IVTG9h1tfbTXNXN6s/a/jyB+ZT+n2f+Sb4hnwcufUAVJYU70AfpyFkZT9GBOi69eS76QNd+PNWXdRAU5m82ybOQvAJ0QWYJfq6VGMKGM1C5D7b8AjRarsiPY3tBHcer2lmaGslvdxbz2J5zhOj9+MamhS7tzxGC166l8eGHGWpoRBdnv4ImMiCSSCK5Ne9WNqdu5iu7vsLXd38dgABtAH/f+ncC/KynPEyk7ZlnQJKIvNW+/ntPsCV1C88XP8/+2v12txDYy5vlbyIh8a0l31J1XoFgxqJC3B0w9Ym9DWWAzfsnjleIuzMPHxMhOub6uOg6WR5zjC05FncH449WjcZJp/XAmHg723F3lusMj2zGT2P1dH7iCb4jcXcTtzseadxpvtfi7gBkK6f1I9dHx2iGx9yr9sGbeT0jF0/rYeIB9+S4O7B2AC6NvC9PuFc57m50TktXgp9m9GtD8etnqrg7MH+d2tqw5Wt8won9lHF3lnss32OyPPq9J0+4LpiaGVPUAyxKjnBbbJ0j5MaHkh4dzNsFdR4v6rOWxbL/pVJKDtez6jrlYs8aTx2oIECn4dYVzsv3HaVgTzUN5zu5/I488tbYpw7IN+TzXuV7dAx0EK53n1GZJ0mZbyAwVEfh/lq7ivqKU2ZTuanG7qvZR0VnBQ+te8hnC3oLeasTOPNhDeeONpC/LsmluerKO4jPCB//d/bTmw3zit+BKx+CiYqFw0+AXwBcYm5P2JgbS4BOw09fP82NS+fw+93n+OwlSfz02nlEBCmrI9QkaOUKAHoPHyL8Wuek77FBsTx11VPsrNhJ33Afi2IXkRlh388IY3cP7S+9RNjWregSPNtWpMTSuKVE6CN4r/I91Yv6D6o+YFn8MiICvP9/ikAwbZjFUnxL8aK2FF8eU0mpKcXXjJlNTSm+pZid7VJ8y2dRfSm+PHKPZLWQd16Kb+XrSQUpvuVhl6pSfHfhRed6NZgR8ntfQ5Ikrl4Qz8HyVlo8LMEPDteTlBPJuaONTuV+Hyxr4bLsGCKDPVOwdLX2c/CNclLnG8hdbb+MNT/a3Fs8k8zytFoNOSvjqSxoobdTOUsd4PypZiLigoiMV1ZkPHP2GWIDY7ki9Qq1tuo2YtNCiUwIpvDjOpfm6e0cpLOpb3w/vYXFt0JH1Ujv/Bh6muHU8zD/Bggy+xqEBeh4/PalnGvs5udvnmVFehS/uWGhRwt6gIDcXDRhYfQcOuTSPMG6YD6T/RluzbuVfIP9OfMdr7yMqbubqC/c6dL6auOn8ePylMv5sPpDBo1Tf8/YS0VHBec7zrMheYNqcwoEAoFAIPBxlGLqHPnwAqKodxNXL0jAaJLZebbB42tnLI6ho6mP9gbH+kw7+4cob+5h4RzPnXwff+8CpmETl31urkOnyHlReQAzqq8eIHdNAiaTTOkR5a+bgd4haorbSJvilL6tv40DdQe4Ye4NdpuheRNJkshbnUDD+U5a63qcnqfunDlFID4jbPKbOdsgOBaO/n389X3/C8P9sPab4y5vyInlH19cwVXz43ns1kvQaT3/Y1PSaglavpzeQ4c9vrZsNNL6z6cJXLKEwIWeazmwl80pm+kZ6uFA7QHV5txbvRdAFPUCgbN4MsPeUVf8sUzMsAfnXfFH/2glw94FV3ylDHtXXPGVMuxdccVXyrB3zRXfdoa9K674Shn2rrjiK2XYu+aKbzvD3hVXfMUMe1dc8e3NsHfGFV8wjhklv/cl5iWEkWYI4pmDlVy3OJEgf899qtMWRvPhcyWcP9k85SnuWE7XdACwYI5n5KaDfcMUHagja1ksYdGOGW+F68NJDk2ecUW9ITGE6OQQSo82sGiTbWf18hPNmIwyWUuU+6stn5+lcUtV3ac7mbsyjgOvlXH2o1ouvSnbqTlKjjQQGKojNt1KUe/nD0s+by7i26sgIhk6aszS+0W3QMzcSbeszjSwOtO7LufBK1fQ/f77DNXWoktM9Ni6Xe+/z1B1NbE/+L7H1nSEVQmrCNWF8l7le6xPXq/KnHuq9jA3ci5JIa61gAgEsxoXpfh299hb1rJXim9tX2pI8Sf02INKUvxJPfbmG1yV4k/usTfP4KoUf2KPvWVWn5Xie6jHHtSR4k/ssTff47oUf2KP/cX3RvAVKb4bkfCeyZ0aiJN6NyFJEj+8MpfCuk6+9I+jdPQNeWzt0KgAopNDqChodui+guqRoj7JMyf1RQfrGOo3snCjc7Fg+Yb8GWeWB5C9LI6G8510NvfZHHPuaANh0QHEpilHv1naE+YZ5qm6R3cSHG42Sjz7cS2DfcNT3zCBvu5BKk41M3dlPFpbp+pL7gQkeGw5/P1K+PtW8y9663/o2ubdSNDKlQD0ePi0vvUfT6GbM4fQTZs8uq696LQ61ievZ0/VHoZMrv+c7Rnq4XjjcdbPUecBgUAgEAgEgmnCNJbfi5N6N3LVggT+56bFfOeFEyx/YBefWpTIrz+zwCOu8mkLozn2dgV9XYMEhtrX/3uqpoM5kYFEeaCfXpZlCj6oIS49jLg0K6epdpBvyOfdindp7W8lKsD+bHdfJ2tpLAdeLePcsUaWbJ1stNjXPUhVURuXXJEyZcvC6ebTpIWlEeLv/ug1NVm8OZnSIw2c3V/L4s2OmTaWHmnAZJTHxeVNIjIV7noXCl6EulOQsAg2/9x83UfRZ2ejjYig9+BBIj7zabesIQ8PU/+rX6ENjyD08o0Yu7vp++QT4u77MZLW+zGItticupm3yt/iaP1RVieudmmuM81nMMkmlsQtUWl3AsEsRwVXfLtP68ExV/yJp/XgvCu+UoY9qOKKPzHDHlxwxVfMsLfMZrnuiCu+7Qx78EFXfC9k2IPzrvhKGfaW68644itm2FtWcsYVXynDHhx2xRfYRhT1bubTlySRFRvCUx9X8OKxarbMi2NrvvtzjdMXRnN0ewWVp1vIXW2fW/Xpmg6PndK31ffS3tDLhttynJ4j15ALQElbCasSVqm1Na8TFh1IXHoYpUcbrBb1ZZ80IZtkspfFTTnXmZYzLI9f7o5tupXY1DASssI5tbuahRvnoHGgj73w4zpiUkKJnjPFg4zkFeaPaYKk0RC0ciU9hw8jy7Jbkgza/v0c7c89D5JEy5//DIAmJITwz16v+lpqsjZxLYF+geyq3OVyUX+q+RQAC6IXqLE1gQeRJCkZ+CcQj/nXxL/Isvyod3clAGaHFF8h7g5ckOIrxt2Zb3BGij9aas1yKb434u7AFSm+7bg783XnpPhKcXfgghRfIe4OHJfiuxtpGsfnicceHmB+Uji//uwCooL9eeNkrUfWjEkJJSBYR21pu13jO3qHqGzpZYGHTPIsRmZJcyOdniM7wtxvXdJaosqefInsZXE0V3XTWNk57rpx2ETBB9VExgdhSFL2S2jqbaKxt9Ehl3NfYvHmFLpa+yk/YX8bSX15B81V3XZHI043glauYLiujqGqKtXnHm5poen3vyd4zWqyP95P0qOPEnfffcx57DG0IfZ7c3iDAL8A1iWt4/0L72M0Gae+QYFTTadIDUudMVGZs4xh4LuyLOcBq4CvSpI0fXqPBAKBQOA91JLeC/n9zEan1XD1gnheOlZNz8AwwXr3fuolSSI+I4z68g67xheMmOQtTPKMSV5taTtBYf6ExzpmkDcWQ6ABQ4CB0vZSFXfmG+SuSeDI2+c59Ho5135j8ej14zsraa3tYdtXFk55UmsxyZuuRX3awmjCYgI5sesCWUuVDQEtnHy/Cn2QHzmr3K+G8QbBo331h/BPcawtQQlZlml48CFMvb3E3X8/fpGRhG31/QjEsWxJ3cLOyp2caDrhtDGkLMsUNBewOsG1036Bd5BluQ6oG3ndJUlSIZAEzCxH1emMD0jx7c6wB8ek+AoZ9uZhTkrxFTLswXkp/kTjPMu2Zp0Uf6JxHsxKKf6Uag9fkeILbCKKeg/yqUVJPHPwArsKG7husftdleMzw6koaKG/e4iAEOU4s9O15qJ+fpJz/e2OUnuunYSsCJclxHMj51LSNvNO6vWBfiy9Mo2PXz5HdXEbc3Iiaa3t4cjbFWQtjZ0yyg7M0nuNpCE3KtcDO1YfjUZi0eXJfPR8CfXlHdYz58fQ1dpP2fEmFm9Kxj9gZv5o88/IQBsTTe+hw0TeeKNq87b96190vvUW0V//GvrMTNXm9STr5qzDX+PPrspdThf1dT11NPc1syBGSO+nO5IkpQGXAIesvHcPcA9AAEEe3ZcAr0vxFXvsJ+7LESn+xB57y3hXpfgKPfbgghTfSiGvhhTf+r+q70rxJ/XYw+yU4g9P/nrySSm+mxHu9wK7WJYaSUJ4AG96SIKfkGkuguw5rT9b20lSRCARQe43yets6aO7dYDEbNdVAXMj51LWXuay5NYXWbA+iZBIPR88U0RNcRtv/eEk+kA/u2PezracJT0snSDd9P2lNXd1PPogP07smlpufnJkzIKNc9y9La8hSRLBy1fQe+gQshN9X7IsM1hRgbG7Z/Ra5zvv0PDgQ4Rs2ED0f/6nmtv1KMG6YNYkreG9yvcwOZmRbemnXxi9UM2tCTyMJEkhwMvAt2RZ7pz4vizLf5FleZksy8t06D2/QYFAIBD4JkJ+L7AHjUZia348zx25QP+QkQCde92kY1LD0Ggk6so7pjzZPVvXSV6CZ07p686ZHzIkZrveszo3ai4DxgEudF0gPTzd5fl8CT9/LVu+lM+7fy7gtf89jp9Ow6e/u4TgcPt+CS1qLWJZ/DI379K9+AeYpfSnP6xhsG8Y/0DrP7IaKzs59UE1uavjCY0K8PAuPUvQihV0vv02Qxcu4J/qmFt/65P/oPHhhwHwi49HNyeJvqPHCFy0iMSHfzPt3WW3pG7hg6oPON18moUxjhfmBU0F6LV65kbOdcPuBJ5AkiQd5oL+WVmWX/H2fgQKzDQpvlKGPTgvxZ9onAfqSPEVMuwtyzkjxVcyzrO8L6T44KwU3/ojaxWk+AoZ9uNnMs9mtxTf2oZdkeILbCKKeg+zPieGf3xcwZGKVtZlx7h1LZ2/lujkEOrLlE/q+waNlDd1c/UCz5iL1Za2ow/yIyrR9Zi1UbO8tpIZV9QDJGZFcNN9Kzjw2jlyVsTbHf/XMdBBQ2/DjChOspfFcWp3NedPNZOzcnKvvHHIxPtPFRIU5s/a67O8sEPPEpBnbqcYOHfOoaJ+sKKCpkcfJXjNaoJWrWagqIj+4mIM995LzNe+iqRTbtGZDqyfsx4/yY9dlbucKuoP1h1kfvR8dNrp/7mYjUjmfq6/AYWyLP+Pt/cjsIMZJMVXjLuzXPclKb5S3B3MGim+Ytwd+JwUX6nH3vy+k1J8hbg782snpfhKPfbguBTfzQj5vcBuVqUb8PfTsLe4ySPrJWRG0FjRidE4+dvfQnFDFyYZ5nngpF6WZS6caSExOwKNPf8JT0FGRAZaSTsj++othETq2fLFfFLyDXbfY/l85EQ6HxnoK8SlhRESqefcsUar7x/efp7W2h423p6LPmjmF2P+Iz3vA+fK7L5HlmXqfvozJH9/Eh58iOh7/oOk//ktmdvfIvbb35oRBT1AuD6clYkr2Vm50+H2hJruGkraStiYvNFNuxN4gLXA54HLJUk6MfJxtbc3JRAIBIJpgpDfC+wl0F/LyvQo9pY08RMPrBefGc7J3VU0VXbZNBo7W2tuOcxPdH9R31zdTXfbAMuvUedUXa/VkxaWNqOLemcobi0GICdq+hf1kkYic2ksBR9UM9A7NK5wb6jo5PiOSvLWJJA63/6HHtMZbUgIfvHxDJSds/seY3MzvYcPE/Ptb6OLsy9JYLpydfrV3L/vfk40neCS2EvGvdfc10ykPhKtZnLr0wdVHwCwIXmDB3YpcAeyLO/DmsOUwPfxpBTf3gx7a+MVpPiKGfbgc1J8pQz70aVmgxR/gnHe6OtZJsWfZJwH6kjxlYzzwHEpvsAmoqj3AuvnxvCr7YXUtveRGOF8pJs9JM01m9HVlLTZLurrOggN8GNOpHv3AlBxqhkkSFswtXu7vcyNnMvJppOqzTcTKG4rJiogiuhA9T7P3iRraSwnd1VRfqKJvDWJALQ39LLrybMER+hZe6N95oEzBX1mJoNl5XaPHyg1xz4GLpr5BnCbUjbxS+0v2V6+fbSoL20r5dFPHmVv9V4+P+/z/GD5Dybdt6dqDxnhGaSGOeZTIBAIVMJTUnyFHnur99srxVeKuwPnpfhKcXfgtBRfKe4OXJHi2xt3Z17d21J8xR77keuzQYpvTZqvihTf3rg7sE+K707k6S2/F0W9F7hsbgxsL+TDkiY+tyLFrWsFhvoTlRhMTUk7S6+0PuZMbSfzEsJcjpezh4pTzcSlhREUpp7Lfq4hl3cq3qFjoINwvevmezOB4tbiGSG9txCXFkZUYjDHd14gZ1UCJYfr+eDZYvx0Gq768gL0Ngz0Zir+mRm0v/jS+F8eFbAU9frsmf/wI1gXzMbkjeyo2MEPV/yQIeMQX3v/a/QM97AgegH/Lvw3N8y9gYzwjNF7Ogc7OVZ/jDvy7/DizgUCATB9T+2V4u5Grjt1am80mu9V+dReMhpBK6l+aq81yshay0rWtzse+07thwf98PMfnnS304yc2vcwSLBGo/qpfbi2lw6jM+lDyqf2Jn/QDKp/ai8jIQ3L6p/aS5L5a12tU3t3M42LetFT7wWyY0OIDdWzv6zFI+slzY2k7lw7xmETVa29GE0Xv2KHjSaK6rqY5wHpfU/7AI2VXXZlrDuCJYe9sLVQ1XmnK8OmYcray2aESZ4FSZJYvi2dtvpe9r9Uyp5/FhGfEcYtP1tJ0txIb2/P4+gzs5D7+hiqrbNrfH9JCdqoKPwMs6NFYVvGNtoH2nn93Os8UfAEtT21PLrxUX5/+e8J8Avgt0d/O278q6WvMiwPi356gUDge7jrwEXrnnllNwU7qVrQjyHYTa7qzhX0UzOxoFcLadhN1ayHDO4E4qTeK0iSxOpMA/vPtSDLsttPyJNyIij4oJp/bi/hFwfL+OKadH567TwA9pY00TdkZGW6+3/ZrzxjfoiRrnJRnxeVB0BRSxGrElapOvd0pKKjgkHT4Izopx9L5iUxGJKCObW7mrCYQK66d8GsMMazhj7LbJY3WF6G/5ykKccPlJ5DP3fmPOSZijVJa8iKyOK/DvwXAJ/K/BRL45YCcO/Ce/ntsd/yUslL3DD3Bio6Knjs+GOsS1rHophF3ty2QCCwoMJpPQgpvpIUXzHuDpyW4iv12E/c7nimkuJ7Oe5u5Lq3pfhKPfZg7QDcPin+xB770TldleIrxd1Z2/AUUnx3IiHk9wInWJ1h4PUTtZQ1dZMVG+rWtZKyzSeZO/ZUEhap4+mDFXxhTRophiCeO1JFdIg/m/Lcb55VU9JGYJi5HUBNIgMiiQuKEyf1I1hMA2fSST2Yf7la89ks9v67mCvvmT9rC3oA/wyzdHzgXBkhl12mOFY2mRg4d46I66/3xNZ8Ap1Gx/PXPM+LJS+yr2Yf31n6ndH3bp93OwfrDvLAwQdo7mtmZ+VO/LX+/HzNzz3SgiQQCOzExR578xQelOIrxN2BC1L8iYW95Z6xOCHFn1JK7bQU3764O8v947EtxfdG3B34oIGeTkYzZPkXm/y16awU36iVkIyy9bg7yzVnpPgaDZLJpJqBntuZxsoCIb/3EmsyzafVBzwgwQ8I0dHuD/P99Lz9zXVoNRKP7CymsbOf3UWNXL90Djqte78UZFmmpridpLkRbvnFOS8qj6LWItXnnY4UtxXjp/Eb1zM8U0jJN/D5X60hJtm9D8J8Hb/ISLQGg10O+EO1tci9veizszywM9/BX+vPbXm38afNf8IQeFGJ5Kfx45H1j5AalsofTvyBtv42frn2l8QGzexUAIFAIBBMfzRDbpLfG91TzEom648YBOojTuq9RHJUIEkRgXxc1sLnV6e5da2W7gFKpCFW9OqICdBx96UZPLbnHIfKWzCaZG5eluzW9QE6mvroaR9wW/9zniGPD2s+pG+4j0A/97v4+zLFbcVkhGeg087ek+zZgD4zk0E7suoHSszKjdlgkmcvof6hPH3107T3tzMndI44oRcIfJnpIsVXiLszD3dOim933B04KMW3Q0rtlBTfvri7idsdz2Qpvlfi7sDnpPj2xt2BtQNw21J8pbi70TmdkOIrxt2B41J8NyPk9wKHkSSJVRkGdhc1YDLJaNwY1XCsso1yPxMrBqC6sI1vbs4mKtiffx++wJKUSDJiQmit6+HYuxVsuC0Xnb/6Lie1Je3AxYg9tcmNysUkmyhpK5n1fbElrSXCW2AWoM/NMTvgG41IWtvfswMls8f53hFC/UMJ9Z/dig+BYNowi6X4ij32lnvGYqcUXynu7uLrERyQ4ivH3cHEAtReKb434u7A96T49sbdgaNSfNtxd5ZxzknxrXw9uSrFdxcywv1e4BwrM6Jo6x2ivLnHrescrWyjKQD8A7VUFDSj02q469J03vvOeh7/vNk86ujbFZQcaqD8eJNb9lBT0kZQmD8Rce5xA7WY5RW2zO6++tb+Vpr6mmacSZ5gMgF585D7+hisqFAcN1Bail9iAtqQEM9sTCAQCAQCgUDgUcRJvRfJH4mRK6rvJCvWfb9wH6loZUFyOCnaMCpPt0x62tzbOUjZJ40AFB+sI2dlvKrry7JMTYn7+ukB4oPjiQqIoqC5gM/xObesMR2YqSZ5gskEzDMnWPSfLUSfmWlz3EBZGfqs2dVPLxAIZiiezLAHx6T4Shn24LwUXynDfuI9Y5lCiq+UYW9+7ZwUf7JxnmU2y3XnpPgTjfPAx6X4njLOQy0pvu0Me8BpKb5ihr0FR6T4bkaaxhYAoqj3IlmxIfhpJArrOrlmYaJb1ugbNHK6poO712WQFhHOuWONNFV1EZt6MZf+7L5aTEaZ7GWxlB5rpLttgJBIvWp76G4boKd9gIQs90jvwdzOsDBmISebTrptjelAcWsxgDipnwXoMzOQ9Hr6z54l/NprrI6RjUYGz58neJVoxxAIBDMEF6X4dvfYW9ayV4pvb9wdOCbFn9BjDypJ8RXi7sB5Kf7kHnvzDK5K8Sf22Ftm9Vkpvhfi7syvwRkp/sQee/M9rkvxFePuwHEpvrsR8nuBM+j9tGTGhFBU1+W2NU5WtzNklFmeFknKfAOSRqLoQP3o+8ZhE2c+qmFObiQrPpUBMpQcrleY0XFaaroBiJ7jXvnvophFVHZW0tbf5tZ1fJmSthKiA6OJCojy9lYEbkby80Ofk0P/2bM2xwzV1iIPDOCfOfOSEAQCgUAgEAgEZsRJvZfJTQjlaIX7itB9pc1oNRJLU6MIDNSRtyaBMx/VsHhLMmGGQE7urqK7bYCNt+cSERtEfEY4xYfqWbI1VbU9NFebi3pDkvuLeoCC5gIum3OZW9fyVYpbi8mJFKf0s4WAeXl0bn8bWZattrYMlJnd8ZXk+QKBQDAtmS1SfKUMe/A9Kb5ihr1lNst1R6T4tjPswQel+N7IsMd5Kb5Shr3lujNSfMUMe8tKjkrx3Yhwvxc4TW58GK+fqKWjb4jwQPUjyN4vamRpauTo3Mu3pVF8sJ7Db55n1XWZHN1eQdrCaFLyzTnO2ctj+ej5Utrqe4iMD1ZlDy3V3YRFB+Af6N4vt3xDPlpJy4nGE7OyqO8b7qOso4w1SWu8vRWBhwiYN4/2555nqLoa/+TJ0ZSDZeUA6DPESb1AIJiBzAYpvkLcHbggxVeMuzPf4IwUf2KPvWXp2SbF90bcHbgixbcdd2e+7pwUXynuDnxMii9z8ftvGiLk914mN8EcqVRcr74Ev7a9j8K6Tjblxo5eC4kMYMGGJIoP1vPUj/djNJpYe8NFE63MS2JBgnPHGlXbR3N1t9tP6QGCdEHMjZzLqaZTbl/LF9lRsYNh0zCXJc2+BxqzlYB5+QD0n7EuwR84X47WYEAb4T4/C4FAIBAIBAKBdxEn9V4mL95sWFdY18mKdHX7oPcUmwvzTXmx466vui6TyIRgOhr7iEkJJSL2YsxccISehEyzod7ybeku72Fo0EhHYy/Zy2KnHqwCC2MW8mbZmxhNRrQa29ndM5FXSl8hLSyNpXFLvb0VgYfQz81G0unoO3GCsCu3Tnp/sKxcnNILBIKZjw9I8e3OsAfHpPgKGfbmYU5K8RUy7MF5Kf5E4zzLtmadFN8LGfYjW/EpKf6Uag9HpfhuRsjvBU4TF6YnIkhHUX2n6nPvLmwkOSqQzJjxp+RanYZ5a2277WctVU+C31rTgyyDwc0meRYWxy7m+eLnKW4rZp5hnkfW9AXK2ss43nic7y79rttiAwW+h8bfn8BlS+n5+ONJ78myzEB5OWFXXemFnQkEAoGH8bIUX7HHfuK+HJHiK8XdgfNSfIUee3BBiq8Qd3dxacel+EpxdxfX8x0pvmLc3dh5VMNHpfgKcXcXV3JAiu9upnFRL+T3XkaSJPLiwzhTq25R3zs4zP6yZjblxjlc5Fkk+CWHG+y+p6djgLpz7XS19o+73lxtbitwt/O9hWVxywA4Un/EI+v5Ci+Xvoyfxo9rM6/19lYEHiZ4zRoGSkoYahzfMmNsacHU0YE+Q5jkCQQCgUAg2OmclAAAIABJREFUEMxkxEm9D7A0NZI/7S2je2CYEL06/yQ7ztTTP2TiqvnxDt8bHKEnNd/A2f21LNuWhlZr+9mPLMscer2cY+9WAhBqCOC2X6wavaelpgedXkuYIdC5v4iDxAfHkxKawpH6I9yZf6dH1vQ2w6Zh3i5/m/Vz1mMINHh7OwIPE7J2LU2//R96Dxwg/LrrRq8PjJjkiTg7gUAwq5hpUnylDHtwXoo/0TgP1JHiK2TYW5ZzRoqvZJxneV9I8cFZKb51HzoVpPgKGfbjZzLPNqUU341ICPm9wEVWZRh4bM85jla0siFHnd7zl4/VkBwVyPI05/r08y9L4u0/nqLiVLP55N4GB14p4/h7F8hZFU9UQjAHXi3j3NFGclbGYxwycf5kE3HpYfb9B6kSy+OXs6Nix6zpqz9cd5iW/hauybjG21sReAF9bi7aqCi69+8fV9T3Hj4MkkRAbq4XdycQCAReYAZJ8RXj7izXfUmKrxR3B7NGiq8Ydwc+J8VX6rE3v++kFF8h7s782kEpvjuRZeF+L3CNJakR6LQSB8tbVZmvrqOP/WXNfOaSOWicLKZT5xsIidRz5sMam2MunG3h+HsXmH9ZEpvuzOOSLSlEJQbzyY5KZJPM2f21dLcNsOQK9TLv7WFF/Aq6h7opai3y6LreYvv57YTqQlk3Z523tyLwApJGQ/Dq1fR8fAB55D8jWZbpfPttglaswM8g1BsCgUAgEAgEMxlxUu8DBPn7sWhOBIfOt6gy36vHa5BluH5JktNzaDQS+esSOfTGeVpre4hKHG+YZzKa2PfiOcJiArn0xmxz374ES7amsuvJs3z0QinlJ5pIyAxnTl6kq38lh1gevxyAw/WHyY/O9+janqZvuI9dlbvYmrYVvVbv7e0IvETwukvp3L6d7r17Cd2wgYGiIgbPnyfqC1/w9tYEAoHAe3hSim9vhr218QpSfMUMe/A5Kb5Shv3oUrNBiq+QYQ+zR4qvlGF/8W4HpfhuRMjvBS6zMiOKx/eW0zMwTLCLffVvnaxjSUoEqQbXnOvzL0vi2I4LHHu3gi13jS+OT+2ppq2uh6u+vACt7uKP1exlsZw/2czpD2uQTTKbv5DncTf2mKAY0sPTOVx/mC/O/6JH1/Y0H1Z/SO9wL9sytnl7KwIvEn711bQ8/mcaHnyQ4DVr6Hz7bfDzI/SKLd7emkAgEHgXT0nxFXrsrd5vrxRfKe4OnJfiK8XdgdNSfKW4O3BFim9v3J15dW9L8RV77EeuzwYpvlLc3cW7HZDiuxtR1AtcZVWGgT/sKWP7qTpuWOq8bL66rZezdZ38+CrX+2gDQ/yZf1kSJ3ddYPm2dCLigpBlmU92VHLwtXJS5xtIXxQ97h6NVsOV98ynt3OQzuY+4jPCXd6HMyyOWcwHVR8gy/KMjnjbWbETQ4Bh1PVfMDuR/P2J+8lPqLr7bqq//nX6C04TvGY1fpGeVckIBAKBzzJdT+2V4u5Grjt1am80mu9V+dReMhpBK6l+aq81yshay0rWtzse+07thwf98PMfnnS304yc2vcwSLBGo/qpfbi2lw5jkBMbUz61N/mDZlD9U3sZCWlYVu3UXmAb8RnyEZamRhIfFsAPXj7F5b/9gNaeQafm2XXWHEO3ZV6cKvtavDkZjZ+GHX89zd5/FfPsTw9y8LVyspfFcuW9820WzEFh/l4r6AFyo3JpG2ijodf+WL7pRt9wHx/VfMTm1M2zwhBQoEzIpWsJu/Zaeg8ewi86GsNdd3l7SwKBQCDwVdx14KF1z7yym37NUbWgH0OwNSWECjhX0E/NxIJeLaTh6XX0LcnqfHgDcVLvIwT5+7HzO5fxbkE9P3j5FM8erOTrm7Idnue9wgYyY4LJiFEnFz44XM+6m7I5+X4VJYfriUkNZdm2NHJWxHvU0d5R8gx5ABS1FhEf7His33Rgf81++ob72JIqJNYCM0mPPIz88G9mtDpFIBAInEaF03oQUnwlKb5i3B04LcVX6rGfuN3xTCXF93Lc3ch1b0vxlXrswdqJvX1SfMW4O3BYiu9WZC4qZaYhoqj3IcICdNy0PJntBXX882Al96zPQO9n/6PJjr4hDpW38qV16aruK39dEvnrnDfd8wY5kTlISBS2FrIheYO3t+MWdlbuJFIfydK4pd7eisCHEAW9QCAQKOBij715Cg9K8RXi7sAFKb69cXfgkBR/Sim101J8++LuLPePx7YU3xtxd+C8FD9C20O70TXPLKtSfJ2MZsjyLzb5a9NZKb5RKyEZZetxd5ZrDknxBbYQRb0P8qVL07nj74f5/fvniAz2Z8howl+rwX/ki35g2MTAsJG2nkFOVXeQFRvCrz49n1c/qWbYJHOFStL76UyQLojUsFSKWmZmrN2gcZC9VXu5Kv0q/DTi21ggEAgEAoFgpuN6QW8dzZCb5PfGaXbyPc22OxZRDfgg67KjyYkL5bE95xTH+Ws1pBiCOHToAno/Lf8+fIG1WQaWpAhzLDD31Z9qOuXtbbiFYw3H6B3uZWPyRm9vRSAQCASC6cd0keIrxN2Zhzsnxbc77g4clOLbIaV2SopvX9zdxO2OZ7IU3ytxd+BzUnx74+7A2om9bSm+Utzd6JwOSPHdjYi0E6iKJEn89c5lnG/uYV5iGEH+WoaGZQaMRpBBr9Oi99Pgr9UgSXDv08f4+/7zhAX48d83LhLy2xFyo3J5t+JdOgY6CNd7z7TPHeyr2YdOo2N5/HJvb0UgEAgEgunJLJbiK/bYW+4Zi51SfKW4u4uvR3BAiq8cdwcTC1B7pfjeiLsDdaT46uDnUNwdOCrFtx13ZxnniBRfYBtR1PsoyVFBJEeNcbj0B9BZHfvIjYswvXCSW1cmkxAe6JH9TQfyosxmecWtxaxIWOHl3ajL/pr9LItbRpDOPS6oAoFAIBAIBALBrEKevkf1oqifAYQH6vjrnSKnfCK5hlwAClsLZ1RRX9ddR1lHGZ/J/oy3tyIQCAQCwfTHkxn24JgUXynDHpyX4itl2E+8ZyxTSPGVMuzNr52T4itl2JuvOyfFV8qwVx01pPhuPK0fWVJlKb7tDHvAYSm+uxHye4HAB4kKiCIxOJHTzae9vRVV+ajmIwDWJa3z8k4EAoFAIJghuCjFt7vH3rKWvVJ8e+PuwDEpvr1xd5Z7xqIkxVeIuwPnpfhKcXcXrzsuxVeOuwOfk+J7Ie7O/BqckeIrxd1Z7ndEij+TkCTpSuBRQAv8VZblhya8/x3gbsyfjSbgLlmWK23N55nHHgKBl5gfPZ+C5gJvb0NVPq79mITgBNLD1Y0uFAgEAoFAIBAIZiWyih9TIEmSFvgDcBUwD7hFkqR5E4YdB5bJsrwQeAl4WGlOcVIvmNEsiF7AzsqdtPa3EhUQ5e3tuIxJNnGk/gibUjYJQ0SBQCAQCNRmtkjxlTLswfek+IoZ9pbZLNcdkeLbzrAHH5Tie8g4b2RJl6X4Shn2luuOSPHdiQRInuupXwGck2W5HECSpOeA64CzlgGyLO8ZM/4gcLvShKKoF8xoFsQsAOB082kum3OZl3fjOsWtxXQOdgrXe4FAIBAI3MVskOIrxN2BC1J8xbg78w3OSPGV4+7MM8wGKb434u7AFSm+7bg783UHpfjuRr1nB9GSJB0d8+e/yLL8lzF/TgKqxvy5GlipMN+XgHeUFhRFvWBGkxeVh0bSUNBcMCOK+iP1RwBYET9zjP8EAoFAIBAIBIIZRLMsy0ou5tae+FmVCUiSdDuwDFivtKAo6gUzmiBdEFkRWTOmr/5I/RFSw1KJC47z9lYEAoFAIJjZ+IAU3+4Me3BMiq+QYW8e5qQUXyHDHpyX4itl2JtfzxIpvhcy7Ee24htSfDfjQfl9NZA85s9zgNpJ+5GkzcD9wHpZlhX/kUVRL5jxLIhewK4Lu5BleVr3oRtNRo41HOOKtCu8vRWBQCAQCGYHXpbiK/bYT9yXI1J8pbg7cF6Kr9BjDy5I8RXi7i4u7bgUXynu7uJ6viPFV4y7GzuPaviYFN+d2GlypxJHgGxJktKBGuBzwK1jB0iSdAnwZ+BKWZYbp5pQuN8LZjzzo+fTMdBBVVfV1IN9mKK2IrqGuoT0XiAQCAQCgUAgmKbIsjwMfA3YARQCL8iyfEaSpF9IkvSpkWGPACHAi5IknZAk6Q2lOcVJvWDGM89gTogobC0kJSzFy7txnt0XdqORNKxIEEW9QCAQCAQeZaZJ8ZUy7MF5Kb5Shj04L8VXyLC3LOeMFF/JOM/yvpDig7NSfKUMe5h40j+1FN+9yBe//j2xmiy/Dbw94dpPx7ze7Mh8oqgXzHiyIrLwk/woai1ia9pWb2/HKUyyiTfK3mB14mqiA6O9vR2BQCAQCGYfM0iKrxh3Z7nuS1J8pbg7mDVSfMW4O/A5Kb5Sj735fcek+O5G8lxNrzpCfi+Y8fhr/cmKzKKwpdDbW3Gaw/WHqe+p59OZn/b2VgQCgUAgEAgEAoEPIU7qBbOC3KhcPqz+cNqa5b1+7nVCdaFsTNno7a0IBAKBQDC78aQU394Me2vjFaT4ihn24HNSfKUM+9GlZoMUXyHDHmaBFN/deFB+rzaiqBfMCvKi8njt3Gs09jZOuzi4joEOdlXu4trMa9Fr9d7ejkAgEAgEAk9J8RV67K3eb68UXynuDpyX4ivF3YHTUnyluDtwRYpvb9ydeXVvS/EVe+xHrs9kKb5bkUHyTPO+WxBFvWBWkGfIA6CotcjnivreoV52VOygrqeOnKgcNqVsGvf+y6Uv02/s5+acm720Q4FAIBAIBFaZrqf2SnF3I9edOrU3Gs33qnxqLxmNoJVUP7XXGmVkrWUl69sdj32n9sODfvj5q9gIPnJq38MgwRqN6qf24dpeOoxBTmxM+dTe5A+aQfVO7QW2EUW9YFaQE5mDhMTZ1rOsT17v7e2M0tbfxn/u+k/OtJwBQKfR8cqnXiEtPA2AIdMQzxY+y8qEleRE5XhxpwKBQCAQCART4K4WR6175pW1U49xBlUL+jEEW1NCqIBzBf3UTCzofR4hvxcIfJsgXRCpYak+YZYnyzJNfU3svrCbf5z5B819zfzfhv8jPzqfz77+WX516Fc8seUJJEliZ8VOGnsb+dnqn3l72wKBQCAQCKyhwmk9CCm+khRfMe4OnJbiK/XYT9zueKaS4ns57m7kurel+Eo99uC4FN/tTN+aXhT1gtnDyoSVvFL6CjXdNSSFJHl8fVmW+efZf/Lnk3+ma6gLMPf6//rSX7MkbgkA31jyDR449ADf2/s9EoIT+HfRv8kMz+TSpEs9vl+BQCAQCAR24mKPvXkKD0rxFeLuwAUpvr1xd+CQFF8x7g5ckOLbF3dnuX88tqX47uqxbwciLMX9hLg7cF6KH6Htod0Y7OLurEjxdTKaIWmCnP4ijkvxBbYQRb1g1nD3grt57dxrPHb8MR5c96BH1x42DfPdD77L7qrdrEtax7o561gYvZB5hnnj3PhvnHsjFZ0VvFX+Fh0DHVyVfhXfXfpdNC78kiAQCAQCgUAgmP5EuMXNHhUKeutohqZXMS4J+b1A4PvEB8dze97t/O3037hj3h2j5nme4K8Ff2V31W6+u/S73Jl/p81YPa1Gy49W/IjvLfsebf1txATFeGyPAoFAIBAIXGS6SPEV4u7Mw52T4tsddwcOSvFtx91Zrjsnxbcv7m7idsczWYrvlbg78Dkpvr1xd2CvFN/NiKJeIJge3LXgLv5V9C9eKHnBY33qZ5rP8PjJx7kq/Sq+MP8Ldt3jp/ETBb1AIBAIBNORWSzFV+yxt9wzFjul+Epxdxdfj+CAFF857g6cleJ7I+4O1JHiq4OfQ3F3YJ8UX2AboekVzCrC/MO4bM5l7L6wG6PJOPUNKvCbI7/BEGDg/pX3e2Q9gUAgEAgEAoFA4ABmaYE6H15AnNQLZh2bUzezo2IHnzR+wvL45W5dq6i1iOONx/n+su8Trg9361oCgUAgEAh8CE9m2INjUnylDHtwXoqvlGE/8Z6xTCHFV8qwN792ToqvlGFvvu6cFF8pw1511JDiu/G0fmRJVaT47kRCnr099ZIkPQJcCwwCZcAXZVluV2NjAoG7uCzpMvRaPbsqd7m9qH+u6DkCtAFcl3WdW9cRCAQCgUDgg7goxbe7x96ylr1SfHvj7sAxKb69cXeWe8aiJMVXiLsD56X4SnF3F687LsVXjrsDn5PieyHuzvwaHJPiC2zhqvz+PWC+LMsLgRLgx65vSSBwL0G6INYkrmHXhV2YZPf9yOgY6GB7+XauzrhanNILBAKBQCAQCAS+jCyr8+EFXHpMJMvyzjF/PAjc4Np2BALPsDVtK3uq9nCo7hCrE1e7ZY1dlbvoN/ZzU85NbplfIBAIBALBNGG2SPGVMuzB96T4ihn2ltks1x2R4tvOsAcflOJ7yDhvZEkXpfhuZLbK7ydwF/C8rTclSboHuAcgJSVFxWUFAsfZkrqFh488zLOFz7qtqD/ScARDgIF5UfPcMr9AIBAIBIJpxGyQ4ivE3YELUnzFuDvzDc5I8ZXj7swzzAYpvjfi7kBI8dVkyp8qkiTtkiTptJWP68aMuR/zs65nbc0jy/JfZFleJsvyspgYEdUl8C7+Wn9uyrmJvdV7qeysVH1+WZY5Wn+UpXFLbWbSCwQCgUAgEAgEAh9gprvfy7K8Wel9SZLuBK4BNsnyNNYsCGYdN+fczF8L/sqzhc9y38r7VJ27pruGht4GlsYtVXVegUAgEAgE0xwfkOLbnWEPjknxFTLszcOclOIrZNiD81J8pQx78+tZIsX3Qob9yFYckuK7m9nsfn8l8ENgvSzLvepsSSDwDNGB0WxL38arpa9yz8J7iA6MVm3uYw3HAFgWv0y1OQUCgUAgEMwQvCzFV+yxn7gvR6T4SnF34LwUX6HHHlyQ4ivE3V1c2nEpvlLc3cX1fEeKrxh3N3Ye1XBOii+wjasPPh4DQoH3JEk6IUnS4yrsSSDwGPcsvIch0xB/K/ibqvMebThKuD6crIgsVecVCAQCgUAgEAgEbmAWu9+LikUwrUkJS+FTmZ/iheIXuDP/TuKD41WZ91jDMZbELkHjgrxOIBAIBALBDGemSfGVMuzBeSm+UoY9OC/FV8iwtyznjBRfyTjP8r6Q4oMzUnz34b2CXA3c8FUjEEwv7l10L2+WvclTZ57ihyt+6PJ8rf2tVHVVcdNcEWUnEAgEAoFgCmaQFF8x7s5y3Zek+EpxdzBrpPiKcXcgpPjTAHGMKJj1JIUksTV9K6+UvkLXYJfL85W2lQKQE5Xj8lwCgUAgcAxJkrSSJB2XJOktb+9FIBAIBNMEmdkrvxcIZgp3zLuD7eXbeaX0Fe7Mv9OluSxFfXZkthpbEwgEAoFjfBMoBMK8vRGBwCE8KcW3N8Pe2ngFKb5ihj34nBRfKcN+dKnZIMVXyLAHX5LiuxkvxdGpgSjqBQJgnmEey+OX80zhM9ySewv+Wn+n5yppKyEqIEpVN32BQCAQTI0kSXOAbcADwHe8vB2BwHE8JcVX6LG3er+9UnyluDtwXoqvFHcHTkvxleLuwBUpvr1xd+bVvS3FV+yxH7nuC1J8gW1EUS8QjHD3gru59717+cm+n/DQZQ85bXJX2lYqTun/f3v3GiNXWcdx/Pff2S21S9utUKFACytuhSKkjbWixGhAESug6TuIxssLY7xEA0SD+sJ3aki8JKiE8EaiiTGVxEtSRSAmxqRcSttoa7KtptTi1payLdAKy27/vjgz7KUzz5w5c2aec/Z8P0mT7WHOzD8nBfrM8zvnBwBx/FDS15Q08zRlZp+T9DlJWqplfRoL6FBZd+1DdXf145l27WdmknNz3rW3mRmpZrnv2tdmXF5rfFLzcedLt2s/PTWowSXT55ydWX3X/rSmNDwwkPuu/craGZ2ayfLf2ea79r1W5p56vvgA6t57yXt11zvv0o5DO3T/7vszvcfM2RkdPHlQ61etz3k6AECImd0q6Zi77wq9zt0fdPfN7r55SOf1aToAXbEUX1BkUevN+3qt/WuyyHVBP8dwsyREDrIt6CPinnpgcfj0NZ/W3uN7tX18u7686cuyDv8ncuSVI3p15lWNjbBTDwB9doOk281sq6SlklaY2c/d/ROR5wKyyWG3XiKKH4riB+vupMxR/NA99gvHna9dFD9y3V39eKwoPlpjUQ/MYWZ636Xv0+OHH9ehlw5pdOVoR+ePT45Lkta/mZ16AOgnd79X0r2SZGYfkHQPC3qUXpf32Cdv0ccofqDuTuoiip+27k7qKIofrLuTuojip6u7a5w/X+so/vTrA7Khs8p7CXdS0khjcb+g7k7KHsUfqZ3WyZnhLqcbnPNsgR5yzd5OUkLE74EFNl20SZK0+9jujs89MHlAAzagK1demfdYAAAAqLBkQZ+/kZ48zV45LOj7KafoPfF7oBhGV4xq5LwR7T62W9vGtnV07vjkuNYtX6elg0t7NB0AoB13/7OkP0ceA8hPWaL4gbq75OXZovip6+6kDqP4revuGsezRfHT1d0tHHe+c6P4UerupMJE8dEaVwhYwMy0cfVG7Tm2p+Nz95/Yr42rN/ZgKgAAUGkVjuIH77FvnDNXyih+qO5u9ue6DqL44bo7KWsUP0bdnZRPFL8UePo9sLhsumiTDr10SCf+dyL1OZOvTmri9IQ2XLChh5MBAAAAyB3xe2Bx2fSW5L76Pcf36KZ1N6U6Z/+J/ZLEoh4AAPROPzvspc6i+KEOeyl7FD/UYb/wnLnaRPFDHfbJz9mi+KEO++R4tih+qMM+d3lE8cu4W19SLOqBJjZcsEGDNqi/v/D31Iv6fSf2SZKuvuDqXo4GAACqrssofup77BuflTaKn7buTuosip+27q5xzlyhKH6g7k7KHsUP1d3NHu88ih+uu5MKF8Xv2T32PVDyp9+zqAeaOK92nq5YeYUOTB5Ifc7+E/u1bvk6LV+yvIeTAQAAAMiXz34pVUIs6oEWxkbGtPf43tSv5yF5AACgr6oSxQ912EvFi+IHO+wb79Y43kkUv3WHvVTAKH7ZH5xXIizqgRbGVo1px6EdemXqFZ2/5Pzga1989UVNnJ7QnVfd2afpAAAAVI0ofqDuTuoiih+su0tOyBLFD9fdJe9QhSh+f+rucsTT74HFZ2zVmCTp4MmDbV/LQ/IAAACAkmrcU5/HrwjYqQdaaCzqxyfHtfEt4Vj9rv/uUs1quubCa/oxGgAAwHwFiOKn7rCXOoviBzrsk5dljOIHOuyl7FH8UId98nNFoviLqcO+4FjUAy1cMnyJhoeGUz0sb+d/duq61ddpeGi4D5MBAAA0ETmKH7zHfuFcnUTxQ3V3UvYofuAee6mLKH6g7m72ozuP4ofq7mY/rzhR/GDd3dz3KQri98DiY2Z628jbdOBkeFF/6rVT2ndin65fc32fJgMAAACQK/d8fkXATj0QMLZqTI8eelTuLrPm31o/ffRpuZxFPQAAKIbFFsUPddhL2aP4oQ57KXsUP9Bh3/i4LFH80IPzGv+cKH41sagHAtavWq/t49t19PRRrTl/TdPX7JzYqWWDy3Tt6mv7PB0AAEALiyiKH6y7axwvUhQ/VHcnVSaKH6y7kwoWxY+3y54H4vdAQKN3/pn/PtPyNTsndupdF79LQwND/RoLAAAAQF5cyRcMefyKgJ16IODtb367VixZoaeOPqXbrrztnH9+YPKAnnvpOd1x1R0RpgMAAGijn1H8tB32zV4fiOIHO+ylwkXxQx32b3xUFaL4gQ57iSh+nljUAwEDNqAtF2/RkxNPNr2v/pEDj2hwYFBbR7dGmhAAAKCNfkXxA/fYNz0/bRQ/VHcnZY/ih+rupMxR/FDdndRNFD9t3V3y6bGj+MF77OvHCxXFL3H8nkU90MaWNVv02OHHdOSVI1q7fO0bx6dmpvS7f/1ON669UauWroo4IQAAQApl3bUP1d3Vj2fatZ+ZSc7NedfeZmakmuW+a1+bcXmt8UnNx50v3a799NSgBpdMn3N2ZvVd+9Oa0vDAQHl27Uu8qOeeeqCNd1/8bknSUxNPzTv+xL+f0KnXTmnb2LYYYwEAAKAbLZqNulbrzft6rf1rssh1QT/HcLMkRGF58mVSHr8iYKceaGN05agufNOF+svzf9G2sW0yM5167ZQe2POA1gyvocoOAACURw679RJR/FAUP1h3J2WO4ofusV847nztoviR6+7qxwsVxS8ZFvVAG2amraNb9fD+h/Wtv35LN19+sx7620M6/PJh/eSDP1FtoEdfmwIAAPRCl/fYJ2/Rxyh+oO5O6iaKP+e9Q3V3UkdRfKt/SdC07k7KHMUfmJbODlrburvG+fO1juJPvz4gGzqrvJeGJyWNNBb3C+rupIJF8V1vfOlTRizqgRTu3ny3hoeG9dO9P9Vv//lb1aym+95/H7v0AAAAZZXmS4lM79ub2PnZwd7Mmyzo8zdStl32SNH5PLCoB1IYsAF9YeMXdMvoLTrz+hldtOwirV62OvZYAAAA2ZUlih+ou0teni2Kn7ruTuowit+67q5xPFsUP13d3cJx5zs3ih+l7k7qPIqPlljUAx1468q3xh4BAAAgPxWO4gfvsW+cM1fKKH6o7m7257oOovjhujspaxQ/Rt2dlCGK32slfvo9i3oAAAAAQHW5lzoRwKIeAAAAqLp+dthLnUXxQx32UvYofqjDfuE5c7WJ4oc67JOfs0XxQx32yfFsUfxQh33uuonioyUW9QAAAAC6juKnvse+8Vlpo/hp6+6kzqL4aevuGufMFYriB+rupOxR/FDd3ezxzqP44bo7qShR/J4jfg8AAAAAQDk58XsAAAAAi0JVovjBDnsVL4of6LDXG+/WON5JFL91h71UoCg+WuIKAQAAAJivClH8QN2d1EUUP1h3l5yQJYofrrtL3mExR/F7y4nfAwAAAABQSq7Z5EcJsagHAACV9LImX3gi+Fw5AAAE10lEQVTMtz8Xe445LpT0QuwhCo5r1F6+16jbdU4xb1Pmz1E6RbtOl8ceoKhY1AMAgEpy99WxZ5jLzJ5x982x5ygyrlF7XKP2uEbpVO46eTG/gUqDRT0AAAAAoLJcs8+BKKPsj7UEAAAAAABRsVMPAABQDA/GHqAEuEbtcY3a4xqlU53r5E78HgAAAN1x9+r8BTojrlF7XKP2uEbpVO06Eb8HAAAAAAB9x049AAAAAKDaShy/N/f+xwzM7LikIvXC9kvRuh7LjGuZH65lfriW+anqtby8aDVriMPM7pF0n6TV7l7FfxdaMrP7JN0maUrSPyV9xt1Pxp2qGMzsFkk/klST9JC7fzfySIViZmslPSzpYklnJT3o7j+KO1UxmVlN0jOSnnf3W2PP02tm9gclf/fIwwvufktO75VKlEV9VVWu67GHuJb54Vrmh2uZH64lqqy+8HhI0lWS3smifj4zu1nSE+4+bWbfkyR3/3rksaKrL8LGJX1I0hFJT0u6w933Rx2sQMxsjaQ17v6smS2XtEvSx7lG5zKzuyRtlrSiCov6suOeegAAgGL5gaSvKalOxgLu/qi7T9d/u1PSZTHnKZAtkg66+7/cfUrSLyV9LPJMheLuE+7+bP3nlyX9Q9KlcacqHjO7TNJHlXy5iBJgUQ8AAFAQZna7krjr3tizlMRnJe2IPURBXCrp33N+f0QsWFsysyskbZL0ZNxJCumHSr5YLO9N5hXDg/L6q1K1ED3GtcwP1zI/XMv8cC2xaJnZY0ru6V3om5K+Ienm/k5UPKFr5O6/qb/mm5KmJf2in7MVmDU5RtqjCTM7X9KvJX3V3V+KPU+RmNmtko65+y4z+0DseZAO99QDAAAUgJldK+lxSWfqhy6T9B9JW9z9aLTBCsjMPiXp85Jucvcz7V5fBWb2HknfdvcP139/ryS5+3eiDlYwZjYk6feS/uju3489T9GY2XckfVLJF2ZLJa2Q9Ii7fyLqYAhiUQ8AAFBAZnZI0mYelDdf/Qnv35f0fnc/HnueojCzQSUPyrtJ0vNKHpR3p7vvizpYgZiZSfqZpBfd/aux5ym6+k79PTwor/i4px4AAABlcr+k5ZL+ZGZ7zOyB2AMVQf3hgV+S9EclD4D7FQv6c9ygZBf6xvqfnT1mtjX2UEC32KmPhP7Z7tFT2z36bPNB723+qtaPCwAAkBU79RHUFwAfknQ49iwl9ydJ73D365TEze6NPE+p1BdNP5b0EUkbJN1hZhviTlVa05LudverJV0v6Ytcy659RclOEwAAAAJY1MdB/2wO6KntGn22OaH3Nl/04wIAAKTHor7P6J/tGXpqO0efbQ/Qe5sL+nEBAABSoqe+B+ifzQ89tT1Fn23O6L3tHv24AAAAnWFR3wPu/sFmx+v9s6OS9iaNGrpM0rNmRv9sC62uZUO9p/ZWJT21LEg7c0TS2jm/b/QhI4N67+2vJf3C3R+JPU+J3SDp9vrTiJdKWmFmP6cfFwAAoDmefh8R/bPdoae2O/TZ5ofe296gHxcAAKA97qlHmdFT2wX6bHNF7y0AAACiYKceAAAAAICSYqceAAAAAICSYlEPAAAAAEBJsagHAAAAAKCkWNQDAAAAAFBSLOoBAAAAACgpFvUAAAAAAJQUi3oAAAAAAErq/+yV2Q4cSpH2AAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This specific block of code is from GPSS 2018 Lab 1: http://gpss.cc/gpss18/labs\n", + "ks = [ # List of example kernels\n", + " GPy.kern.RBF(1, lengthscale=1.),\n", + " GPy.kern.RBF(1, lengthscale=0.5),\n", + " GPy.kern.RBF(1, lengthscale=0.25, variance=2.),\n", + " GPy.kern.Exponential(1),\n", + " GPy.kern.Matern32(1),\n", + " GPy.kern.Matern52(1),\n", + " GPy.kern.StdPeriodic(1, period=2.),\n", + " GPy.kern.Cosine(1),\n", + " GPy.kern.Brownian(1),\n", + " GPy.kern.Linear(1),\n", + " GPy.kern.Bias(1),\n", + " GPy.kern.White(1),\n", + " GPy.kern.StdPeriodic(1)*GPy.kern.RBF(1),\n", + " GPy.kern.Linear(1) + GPy.kern.Exponential(1)\n", + "]\n", + "# The name of our kernels (for the legend)\n", + "kernel_name = [\"RBF ls=1\", \"RBF ls=0.5\", \"RBF ls=0.25, var=2\", \"Exponential\", \"Matern 3/2\", \n", + " \"Matern 5/2\", \"Periodic\", \"Cosine\", \"Brownian: $k(t, t^\\prime) = a * min(t, t^\\prime)$\", \"Linear\", \"Bias\", \"White\", \"Periodic x RBF\", \"Linear + Exponential\"]\n", + "\n", + "# Our sample space - note the [:, None] notation is a \"shorthand\" way to take\n", + "# a dimensionless array and make it n x 1\n", + "X = np.linspace(-5., 5., 250)[:, None]\n", + "\n", + "print(\"The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\")\n", + "\n", + "# Loop through our kernels\n", + "for i,k in enumerate(ks):\n", + " # The mean function is set to 0\n", + " mu = np.zeros((250)) # we have 250 sample inputs\n", + " # Get the covariance matrix\n", + " if i is not 11:\n", + " C = k.K(X,X)\n", + " else: # We have to sample White noise kernel differently\n", + " C = k.K(X)\n", + " \n", + " # Sample 5 times from a multivariate Gaussian distribution with mean 0 and covariance k(X,X)\n", + " Z = np.random.multivariate_normal(mu, C, 5)\n", + " \n", + " # Setup figure environment\n", + " plt.figure(figsize=(18, 7))\n", + " \n", + " # Show samples on left hand side\n", + " plt.subplot(121)\n", + " for j in range(5 if i < 11 else 2): # Loop through samples\n", + " plt.plot(X[:],Z[j,:])\n", + " plt.title(kernel_name[i])\n", + " \n", + " # Visualise covariance matrix on right hand side\n", + " plt.subplot(122)\n", + " plt.pcolor(X.T, X, C)\n", + " # Annotate plot\n", + " plt.gca().invert_yaxis(), plt.gca().axis(\"image\")\n", + " plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IcCmu72l7kRK" + }, + "source": [ + "And to get our hands a bit dirtier, why don't we try coding up the GP prior with an RBF kernel from scratch\n", + "1. Hints start by creating a radial basis kernel function\n", + "2. `np.meshgrid` and `np.random.multivariate_normal(mean, kernel, number_of_samples)` will help" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "executionInfo": { + "elapsed": 424, + "status": "ok", + "timestamp": 1617137595178, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "WqwYVtue7euU" + }, + "outputs": [], + "source": [ + "def rbf_kernel(x, gamma):\n", + " m, n = np.meshgrid(x, x)\n", + " return np.exp(-gamma * (m - n) ** 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "executionInfo": { + "elapsed": 530, + "status": "ok", + "timestamp": 1617137624706, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Mjm_jthg7fw5" + }, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "K_rbf = rbf_kernel(x, gamma=1)\n", + "mean_rbf = [0]*K_rbf.shape[0]\n", + "data = np.random.multivariate_normal(mean_rbf, K_rbf, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 374 + }, + "executionInfo": { + "elapsed": 741, + "status": "ok", + "timestamp": 1617137626352, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "i2j1xwY37iEj", + "outputId": "40c27235-3141-4ae8-de9a-03ecf48b6d3c" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8, 6))\n", + "for i in range(data.shape[0]):\n", + " plt.plot(x, data[i, ])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dO1j82S56eh5" + }, + "source": [ + " 1. Generate the function that we will use for our exercises.\n", + " $$f(x) = sin(2x)+0.2x$$ $$y = f(x)+\\epsilon$$\n", + " 2. Generate some example data for the function" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 641 + }, + "executionInfo": { + "elapsed": 919, + "status": "ok", + "timestamp": 1617137649904, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "rekKo4NQ6lOK", + "outputId": "84962863-263f-49f5-c168-ea6b57711fbf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4836656042.531507\n", + "0\n", + "4778729721.551591\n", + "0\n", + "4382767221.3048525\n", + "0\n", + "3828087383.585461\n", + "0\n", + "3865887962.9468937\n", + "0\n", + "3706780362.639812\n", + "0\n", + "2802549546.4959764\n", + "0\n", + "2632168148.3151693\n", + "0\n", + "2204747058.769633\n", + "0\n", + "2064908064.8142664\n", + "0\n", + "2244087820.3751864\n", + "0\n", + "2155639283.3439474\n", + "0\n", + "2220190976.7139564\n", + "0\n", + "2292733249.8235736\n", + "0\n", + "2302573756.646155\n", + "0\n", + "2496072583.8878694\n", + "0\n", + "2490904231.578947\n", + "0\n", + "2596451021.052632\n", + "0\n", + "2701997810.526315\n", + "0\n", + "2807544600.0\n", + "(20, 1)\n", + "(20, 1)\n", + "1\n", + "4259688712.875912\n", + "1\n", + "3785125198.7368097\n", + "1\n", + "3471933379.622953\n", + "1\n", + "3102482276.09914\n", + "1\n", + "3363064422.244625\n", + "1\n", + "3108433329.5527234\n", + "1\n", + "2582571019.7657185\n", + "1\n", + "2318446994.743112\n", + "1\n", + "2100175045.6739042\n", + "1\n", + "2065605327.9545236\n", + "1\n", + "2088266871.6204345\n", + "1\n", + "2343680008.3591504\n", + "1\n", + "2238890408.1832237\n", + "1\n", + "2261303210.215171\n", + "1\n", + "2351048496.307646\n", + "1\n", + "2531854492.5846324\n", + "1\n", + "2643123994.032767\n", + "1\n", + "2596451021.052632\n", + "1\n", + "2701997810.526315\n", + "1\n", + "2807544600.0\n", + "2\n", + "5001955327.369665\n", + "2\n", + "4981113341.573283\n", + "2\n", + "4435843324.513634\n", + "2\n", + "3911755441.8930893\n", + "2\n", + "4087416542.8332534\n", + "2\n", + "3693232336.4300594\n", + "2\n", + "2641593935.3540897\n", + "2\n", + "2547638618.7915\n", + "2\n", + "1994462321.95554\n", + "2\n", + "2011515442.6066375\n", + "2\n", + "2062930773.8612237\n", + "2\n", + "2109169319.8462203\n", + "2\n", + "2308850618.2055106\n", + "2\n", + "2174263863.157894\n", + "2\n", + "2279810652.6315784\n", + "2\n", + "2385357442.105263\n", + "2\n", + "2490904231.578947\n", + "2\n", + "2596451021.052632\n", + "2\n", + "2701997810.526315\n", + "2\n", + "2807544600.0\n", + "3\n", + "5883255652.006402\n", + "3\n", + "5438132489.207095\n", + "3\n", + "4909181121.690208\n", + "3\n", + "4196791380.681416\n", + "3\n", + "4224077889.836869\n", + "3\n", + "4276781514.3026495\n", + "3\n", + "2998053447.0405965\n", + "3\n", + "2441934605.992369\n", + "3\n", + "2837958298.1567426\n", + "3\n", + 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"2755386356.331128\n", + "4\n", + "2855708978.844006\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x,snum):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objectiver(np.ones(8)*xi,range(snum,snum+1))/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 20\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(1, 3.5, N)[:,None]\n", + "Y_grid = f(X_grid,0)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid)\n", + "\n", + "Y_grid = f(X_grid,1)\n", + "plt.plot(X_grid, Y_grid)\n", + "\n", + "Y_grid = f(X_grid,2)\n", + "plt.plot(X_grid, Y_grid)\n", + "\n", + "Y_grid = f(X_grid,3)\n", + "plt.plot(X_grid, Y_grid)\n", + "\n", + "Y_grid = f(X_grid,4)\n", + "plt.plot(X_grid, Y_grid)\n", + "# Show function with noise\n", + "#plt.figure(figsize=FIGSIZE)\n", + "#plt.plot(X_grid, Y_grid,'k--')\n", + "#plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 641 + }, + "executionInfo": { + "elapsed": 919, + "status": "ok", + "timestamp": 1617137649904, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "rekKo4NQ6lOK", + "outputId": "84962863-263f-49f5-c168-ea6b57711fbf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "i = 0\n", + "0\n", + "3146442837.8223743\n", + "0\n", + "2739409284.791959\n", + "0\n", + "2619239205.6113014\n", + "0\n", + "2424580077.742787\n", + "0\n", + "2014207683.2839932\n", + "0\n", + "2057631197.8871212\n", + "0\n", + "2205405908.6454735\n", + "0\n", + "2170483364.873755\n", + "0\n", + "2252219057.8022885\n", + "0\n", + "2077713172.1634636\n", + "min = 2.0833333333333335\n", + "i = 1\n", + "1\n", + "2685656363.612096\n", + "1\n", + "2372838567.5601726\n", + "1\n", + "2314540620.1540527\n", + "1\n", + "2270357378.8522735\n", + "1\n", + "1968838699.1714032\n", + "1\n", + "2059684208.8224626\n", + "1\n", + "2117385561.4200044\n", + "1\n", + "2096432878.7703116\n", + "1\n", + "2281728203.4966917\n", + "1\n", + "2398111782.2792416\n", + "min = 2.0833333333333335\n", + "i = 2\n", + "2\n", + "3106766496.952248\n", + "2\n", + "2552917124.24757\n", + "2\n", + "2546438665.2690988\n", + "2\n", + "2290828209.635043\n", + "2\n", + "1918430385.4362686\n", + "2\n", + "2002812127.5238898\n", + "2\n", + "1960703270.7729235\n", + "2\n", + "2070443881.475337\n", + "2\n", + "2087392237.766756\n", + "2\n", + "2145550935.4834757\n", + "min = 2.0833333333333335\n", + "i = 3\n", + "3\n", + "3182723303.526528\n", + "3\n", + "2982692525.481326\n", + "3\n", + "2441917806.500981\n", + "3\n", + "2841591044.7908854\n", + "3\n", + "2598795267.1340046\n", + "3\n", + "2169844923.8067627\n", + "3\n", + "2211492278.3768334\n", + "3\n", + "2136009055.3836389\n", + "3\n", + "2470844626.244213\n", + "3\n", + "2118860210.1005976\n", + "min = 2.5\n", + "i = 4\n", + "4\n", + "3597054753.7452745\n", + "4\n", + "3104867102.481809\n", + "4\n", + "2915442749.686124\n", + "4\n", + "2463606858.8279505\n", + "4\n", + "2262206206.970231\n", + "4\n", + "2409881526.7376585\n", + "4\n", + "2363263966.2871256\n", + "4\n", + "2194046375.3071384\n", + "4\n", + "2544858550.3645363\n", + "4\n", + "2308390636.2299166\n", + "min = 2.333333333333333\n", + "i = 5\n", + "5\n", + "3815473468.2771506\n", + "5\n", + "3256511223.046392\n", + "5\n", + "3035338413.0954065\n", + "5\n", + "2931555914.642422\n", + "5\n", + "2895867064.7740192\n", + "5\n", + "2343531953.21313\n", + "5\n", + "2206294047.700692\n", + "5\n", + "2501383243.505324\n", + "5\n", + "2257245503.7550015\n", + "5\n", + "2363752137.032412\n", + "min = 2.25\n", + "i = 6\n", + "6\n", + "3174224885.4148755\n", + "6\n", + "2799170061.7354107\n", + "6\n", + "2670093064.5935183\n", + "6\n", + "2162676764.145371\n", + "6\n", + "2054103135.601226\n", + "6\n", + "2232772921.4473295\n", + "6\n", + "2315652000.1794024\n", + "6\n", + "2133237325.6604867\n", + "6\n", + "2012836209.6346376\n", + "6\n", + "2066430085.096885\n", + "min = 2.4166666666666665\n", + "i = 7\n", + "7\n", + "3110543900.069557\n", + "7\n", + "2595642417.322083\n", + "7\n", + "2328970602.9576316\n", + "7\n", + "2311312434.4412265\n", + "7\n", + "2180962701.979674\n", + "7\n", + "2124190682.281092\n", + "7\n", + "2037797435.2326236\n", + "7\n", + "2006036018.0136948\n", + "7\n", + "1989406155.2101781\n", + "7\n", + "2053706817.2654386\n", + "min = 2.4166666666666665\n", + "i = 8\n", + "8\n", + "2948799167.962239\n", + "8\n", + "2574082592.541093\n", + "8\n", + "2405870404.6812763\n", + "8\n", + "2112921573.6365206\n", + "8\n", + "1877630811.0083592\n", + "8\n", + "1889443282.7784832\n", + "8\n", + "1932806681.7251935\n", + "8\n", + "2002803099.0643678\n", + "8\n", + "2060264033.4265554\n", + "8\n", + "2095557401.4680233\n", + "min = 2.0833333333333335\n", + "i = 9\n", + "9\n", + "3500475456.1920586\n", + "9\n", + "2922925023.5973754\n", + "9\n", + "2496048734.948841\n", + "9\n", + "2203345595.3393745\n", + "9\n", + "2078765185.2989533\n", + "9\n", + "2118761503.0067964\n", + "9\n", + "2171236758.4985733\n", + "9\n", + "2178432066.3472605\n", + "9\n", + "2352835146.199334\n", + "9\n", + "2353310309.2716002\n", + "min = 2.0833333333333335\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x,snum):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objectiver(np.ones(8)*xi,range(snum,snum+1))/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 10\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(1.75, 2.5, N)[:,None]\n", + "#Y_grid = f(X_grid,0)\n", + "#print(X_grid.shape)\n", + "#print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "ax = plt.figure(figsize=FIGSIZE)\n", + "#plt.plot(X_grid, Y_grid)\n", + "\n", + "for i in range(10):\n", + " print('i = '+str(i))\n", + " Y_grid = f(X_grid,i)\n", + " ax.plot(X_grid, Y_grid)\n", + " print('min = ' + str(X_grid[np.argmin(Y_grid[:,0]),0]))\n", + "\n", + "# Show function with noise\n", + "#plt.figure(figsize=FIGSIZE)\n", + "#plt.plot(X_grid, Y_grid,'k--')\n", + "#plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 641 + }, + "executionInfo": { + "elapsed": 919, + "status": "ok", + "timestamp": 1617137649904, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "rekKo4NQ6lOK", + "outputId": "84962863-263f-49f5-c168-ea6b57711fbf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "i = 0\n", + "0\n", + "3146442837.8223743\n", + "0\n", + "2747027247.0758286\n", + "0\n", + "2744249921.8552623\n", + "0\n", + "2482143294.3013763\n", + "0\n", + "2430330135.1383953\n", + "0\n", + "2013132727.5759742\n", + "0\n", + "1991023318.0289264\n", + "0\n", + "2116150952.6255188\n", + "0\n", + "2284326471.1663556\n", + "0\n", + "2189735229.6353607\n", + "0\n", + "2247717098.3667536\n", + "0\n", + "2171119390.157175\n", + "0\n", + "2101165691.2095714\n", + "0\n", + "2259096373.4745264\n", + "0\n", + "2331268837.725343\n", + "0\n", + "2229887185.1026487\n", + "0\n", + "2276923117.0887165\n", + "0\n", + "2318924050.0445256\n", + "0\n", + "2431748486.7585006\n", + "0\n", + "2524206231.4137363\n", + "i = 1\n", + "1\n", + "2685656363.612096\n", + "1\n", + "2404727443.6147175\n", + "1\n", + "2416305642.4573164\n", + "1\n", + "2187830737.5553684\n", + "1\n", + "2268422476.5813828\n", + "1\n", + "1963784919.6987424\n", + "1\n", + "2005571468.0479448\n", + "1\n", + "2103870039.9455047\n", + "1\n", + "2133480348.9340932\n", + "1\n", + "2101060141.5813713\n", + "1\n", + "2276231708.7100253\n", + "1\n", + "2354921663.6923814\n", + "1\n", + "2206667340.2969923\n", + "1\n", + "2180498728.390019\n", + "1\n", + "2233539915.8438616\n", + "1\n", + "2276448190.3679404\n", + "1\n", + "2328040802.0236397\n", + "1\n", + "2362443699.2785244\n", + "1\n", + "2472267108.559127\n", + "1\n", + "2554583737.295658\n", + "i = 2\n", + "2\n", + "3106766496.952248\n", + "2\n", + "2715176635.6961913\n", + "2\n", + "2571214528.8774896\n", + "2\n", + "2559691051.394114\n", + "2\n", + "2105465526.0649536\n", + "2\n", + "1916068396.4962022\n", + "2\n", + "1950850056.5622492\n", + "2\n", + "1931100241.8219886\n", + "2\n", + "1988272470.4256728\n", + "2\n", + "2035927149.8758914\n", + "2\n", + "2084059611.2816627\n", + "2\n", + "2094986179.577938\n", + "2\n", + "2180274851.736756\n", + "2\n", + "2249264840.408017\n", + "2\n", + "2315906798.551315\n", + "2\n", + "2195373221.0526314\n", + "2\n", + "2248146615.7894735\n", + "2\n", + "2300920010.526316\n", + "2\n", + "2353693405.2631574\n", + "2\n", + "2406466800.0\n", + "i = 3\n", + "3\n", + "3182723303.526528\n", + "3\n", + "3028783484.890451\n", + "3\n", + "2694746174.936576\n", + "3\n", + "2469628143.4338446\n", + "3\n", + "2822824610.8815503\n", + "3\n", + "2648724112.022522\n", + "3\n", + "2270866919.853197\n", + "3\n", + "2178939002.897983\n", + "3\n", + "2254448030.63421\n", + "3\n", + "2146341136.9043055\n", + "3\n", + "2466675818.4992666\n", + "3\n", + "2183536882.459053\n", + "3\n", + "2145938960.3462489\n", + "3\n", + "2193172603.234138\n", + "3\n", + "2242436864.98379\n", + "3\n", + "2289216861.987339\n", + "3\n", + "2359682994.625937\n", + "3\n", + "2403554138.0452576\n", + "3\n", + "2447322173.0170836\n", + "3\n", + "2485304559.3353434\n", + "i = 4\n", + "4\n", + "3597054753.7452745\n", + "4\n", + "3170100547.6706276\n", + "4\n", + "3093793124.3151073\n", + "4\n", + "2763116526.7678523\n", + "4\n", + "2379747047.2355576\n", + "4\n", + "2215703136.825644\n", + "4\n", + "2390700844.781151\n", + "4\n", + "2505468224.602876\n", + "4\n", + "2300788509.3942146\n", + "4\n", + "2290873558.4495864\n", + "4\n", + "2542580076.2367387\n", + "4\n", + "2165156669.138185\n", + "4\n", + "2388642371.180244\n", + "4\n", + "2436256645.624135\n", + "4\n", + "2261856494.9076953\n", + "4\n", + "2306294874.5134273\n", + "4\n", + "2689298896.120571\n", + "4\n", + "2393158001.549072\n", + "4\n", + "2443557226.2002287\n", + "4\n", + "2491925137.843036\n", + "i = 5\n", + "5\n", + "3815473468.2771506\n", + "5\n", + "3224176354.611314\n", + "5\n", + "3264045758.105514\n", + "5\n", + "3085801620.2355347\n", + "5\n", + "2876042291.284749\n", + "5\n", + "2672442409.154741\n", + "5\n", + "2624968408.350622\n", + "5\n", + "2189798670.2639832\n", + "5\n", + "2211555428.351106\n", + "5\n", + "2504667148.8399296\n", + "5\n", + "2307793946.4329185\n", + "5\n", + "2337337337.28541\n", + "5\n", + "2324836257.4809413\n", + "5\n", + "2205133963.5592556\n", + "5\n", + "2249434656.3701344\n", + "5\n", + "2293919518.7160435\n", + "5\n", + "2341115237.155117\n", + "5\n", + "2400892127.2253613\n", + "5\n", + "2447035027.0829425\n", + "5\n", + "2490486092.5083838\n", + "i = 6\n", + "6\n", + "3174224885.4148755\n", + "6\n", + "2725211556.983815\n", + "6\n", + "2527482491.4122114\n", + "6\n", + "2427843672.300208\n", + "6\n", + "2113826208.6285927\n", + "6\n", + "2056944928.5559745\n", + "6\n", + "2199292143.141414\n", + "6\n", + "2272098198.3433843\n", + "6\n", + "2107706554.535111\n", + "6\n", + "2122754179.383192\n", + "6\n", + "2054361042.6087332\n", + "6\n", + "2047882459.378333\n", + "6\n", + "2130982541.6811235\n", + "6\n", + "2195353150.8155355\n", + "6\n", + "2251773775.9061146\n", + "6\n", + "2242930868.592769\n", + "6\n", + "2287211690.2441044\n", + "6\n", + "2330178190.893256\n", + "6\n", + "2373841531.695516\n", + "6\n", + "2580811904.950061\n", + "i = 7\n", + "7\n", + "3110543900.069557\n", + "7\n", + "2686847050.010195\n", + "7\n", + "2441974747.0665226\n", + "7\n", + "2390905913.657921\n", + "7\n", + "2248364287.2075086\n", + "7\n", + "2171604909.14509\n", + "7\n", + "2108118223.0476358\n", + "7\n", + "2070612158.0686896\n", + "7\n", + "2006788833.8542168\n", + "7\n", + "1931503956.9615006\n", + "7\n", + "1982748453.1756465\n", + "7\n", + "2032412433.1000896\n", + "7\n", + "2083465523.4018207\n", + "7\n", + "2133195042.8288116\n", + "7\n", + "2183346221.9615293\n", + "7\n", + "2237510106.6916947\n", + "7\n", + "2283253106.6411147\n", + "7\n", + "2330409897.0817885\n", + "7\n", + "2372563775.6066227\n", + "7\n", + "2486386829.435182\n", + "i = 8\n", + "8\n", + "2948799167.962239\n", + "8\n", + "2651282735.938382\n", + "8\n", + "2577528028.3458467\n", + "8\n", + "2167392743.2717905\n", + "8\n", + "1974750592.315445\n", + "8\n", + "1874952450.5645702\n", + "8\n", + "1873790878.4207823\n", + "8\n", + "1870504280.1127071\n", + "8\n", + "1963242773.5607097\n", + "8\n", + "2016589335.3715227\n", + "8\n", + "2054615999.9735205\n", + "8\n", + "2067633939.185152\n", + "8\n", + "2129762227.5573232\n", + "8\n", + "2114203048.9408145\n", + "8\n", + "2158559119.770483\n", + "8\n", + "2274388402.5399094\n", + "8\n", + "2375459507.825359\n", + "8\n", + "2430749937.212797\n", + "8\n", + "2353693405.2631574\n", + "8\n", + "2406466800.0\n", + "i = 9\n", + "9\n", + "3500475456.1920586\n", + "9\n", + "3021031375.945899\n", + "9\n", + "2659842748.2032595\n", + "9\n", + "2435736124.7950673\n", + "9\n", + "2206208442.632317\n", + "9\n", + "2078768087.5872078\n", + "9\n", + "2125730543.286043\n", + "9\n", + "2144157775.4170766\n", + "9\n", + "2137069560.9677203\n", + "9\n", + "2121290295.284446\n", + "9\n", + "2341885318.228277\n", + "9\n", + "2341879313.022251\n", + "9\n", + "2389385756.4442835\n", + "9\n", + "2171298372.7110195\n", + "9\n", + "2240525713.5133734\n", + "9\n", + "2277213794.5174665\n", + "9\n", + "2313430283.9745455\n", + "9\n", + "2428859466.221345\n", + "9\n", + "2621305256.44166\n", + "9\n", + "2608291040.4115777\n", + "i = 10\n", + "10\n", + "3739512111.5597315\n", + "10\n", + "3141735108.6790404\n", + "10\n", + "2640252944.401195\n", + "10\n", + "2316174404.613618\n", + "10\n", + "2334676641.575367\n", + "10\n", + "2260151708.107861\n", + "10\n", + "2354978499.8840346\n", + "10\n", + "2274866690.4434986\n", + "10\n", + "2031734079.3787029\n", + "10\n", + "2164602860.967934\n", + "10\n", + "2162849216.462922\n", + "10\n", + "2114381142.9433126\n", + "10\n", + "2174369548.640833\n", + "10\n", + "2140990702.517634\n", + "10\n", + "2190767215.722557\n", + "10\n", + "2241457630.05539\n", + "10\n", + "2290911865.6822968\n", + "10\n", + "2340706403.2460423\n", + "10\n", + "2399290688.3728924\n", + "10\n", + "2443319138.5402255\n", + "i = 11\n", + "11\n", + "3084207950.4939766\n", + "11\n", + "2596889408.880408\n", + "11\n", + "2259214787.416913\n", + "11\n", + "2043750958.7733533\n", + "11\n", + "2095484466.4746773\n", + "11\n", + "2038507606.6428158\n", + "11\n", + "2053237976.4640512\n", + "11\n", + "1955399885.0364747\n", + "11\n", + "1949255684.706284\n", + "11\n", + "1923096315.5250926\n", + "11\n", + "1972679542.193389\n", + "11\n", + "2023282577.4247007\n", + "11\n", + "2077820200.0742402\n", + "11\n", + "2125998645.314398\n", + "11\n", + "2170926491.0816193\n", + "11\n", + "2214761125.2020597\n", + "11\n", + "2377914683.658877\n", + "11\n", + "2440763183.8803396\n", + "11\n", + "2353693405.2631574\n", + "11\n", + "2406466800.0\n", + "i = 12\n", + "12\n", + "3522708171.598277\n", + "12\n", + "3520346116.7740636\n", + "12\n", + "3144067927.6555524\n", + "12\n", + "2860359443.0492206\n", + "12\n", + "2870413967.1088443\n", + "12\n", + "2464506936.0648685\n", + "12\n", + "2698551893.286661\n", + "12\n", + "2253760542.2468696\n", + "12\n", + "2210208139.7492924\n", + "12\n", + "2555200556.3932056\n", + "12\n", + "2402077206.011839\n", + "12\n", + "2438459553.029896\n", + "12\n", + "2353310109.898212\n", + "12\n", + "2444902046.097424\n", + "12\n", + "2484696222.992429\n", + "12\n", + "2368991658.1270356\n", + "12\n", + "2414313207.9253125\n", + "12\n", + "2524526615.1034837\n", + "12\n", + "2621004467.7015944\n", + "12\n", + "2672592804.5536714\n", + "i = 13\n", + "13\n", + "3247023004.2250724\n", + "13\n", + "2826401162.9489965\n", + "13\n", + "2486695745.4495707\n", + "13\n", + "2493945230.1907144\n", + "13\n", + "2530893581.1570344\n", + "13\n", + "2140760510.5485919\n", + "13\n", + "2133033415.3163674\n", + "13\n", + "2099734595.2529151\n", + "13\n", + "2185174683.9882116\n", + "13\n", + "2324999898.266174\n", + "13\n", + "2485760528.013968\n", + "13\n", + "2405716390.1757054\n", + "13\n", + "2504195541.76699\n", + "13\n", + "2222420181.1895924\n", + "13\n", + "2268912775.9625225\n", + "13\n", + "2587588331.2362237\n", + "13\n", + "2368857596.2749457\n", + "13\n", + "2410692707.6417494\n", + "13\n", + "2450799886.3400683\n", + "13\n", + "2489373758.431828\n", + "i = 14\n", + "14\n", + "3034379197.7085605\n", + "14\n", + "2648491366.4275455\n", + "14\n", + "2301666890.9743896\n", + "14\n", + "2095379016.7941065\n", + "14\n", + "2043066511.4381688\n", + "14\n", + "1995148177.8586094\n", + "14\n", + "2028034168.706926\n", + "14\n", + "1975363343.033723\n", + "14\n", + "2064973524.2909715\n", + "14\n", + "2231518401.569674\n", + "14\n", + "2115402207.9348524\n", + "14\n", + "2055135824.4410942\n", + "14\n", + "2120212831.444033\n", + "14\n", + "2089826431.5789473\n", + "14\n", + "2142599826.3157902\n", + "14\n", + "2195373221.0526314\n", + "14\n", + "2248146615.7894735\n", + "14\n", + "2300920010.526316\n", + "14\n", + "2353693405.2631574\n", + "14\n", + "2406466800.0\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x,snum):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objectiver(np.ones(8)*xi,range(snum,snum+1))/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 20\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(1.75, 3, N)[:,None]\n", + "#Y_grid = f(X_grid,0)\n", + "#print(X_grid.shape)\n", + "#print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "ax = plt.figure(figsize=FIGSIZE)\n", + "#plt.plot(X_grid, Y_grid)\n", + "\n", + "y_results = []\n", + "for i in range(15):\n", + " print('i = '+str(i))\n", + " Y_grid = f(X_grid,i)\n", + " y_results.append(Y_grid[:,0])\n", + " #ax.plot(X_grid, Y_grid)\n", + " #print('min = ' + str(X_grid[np.argmin(Y_grid[:,0]),0]))\n", + " \n", + "#ax.xlabel()\n", + " \n", + "# Show function with noise\n", + "#plt.figure(figsize=FIGSIZE)\n", + "#plt.plot(X_grid, Y_grid,'k--')\n", + "#plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 10\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "Y_grid = f(X_grid)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# Show function with noise\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + 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"metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = 5.0 - objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 100\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "Y_grid = f(X_grid)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# Show function with noise\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HNDsoBBe6p2L" + }, + "source": [ + "Lets sample 5 data points and fit a GP to the data." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 479 + }, + "executionInfo": { + "elapsed": 723, + "status": "ok", + "timestamp": 1617137678615, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "tBd7Gkt26tS2", + "outputId": "87479380-6eb8-47fc-aa0c-189e0b10e60c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4006430951.8501625\n", + "0\n", + "2294653165.4458895\n", + "0\n", + "2625608476.932421\n", + "0\n", + "2699739885.920214\n", + "0\n", + "4687826977.700727\n", + "0\n", + "2071591289.3110216\n", + "0\n", + "2237183095.9033165\n", + "0\n", + "2287201004.11709\n", + "0\n", + "2934691985.169864\n", + "0\n", + "3192098900.197864\n", + "\n", + "Name : GP regression\n", + "Objective : 1.3412534027061405\n", + "Number of Parameters : 3\n", + "Number of Optimization Parameters : 3\n", + "Updates : True\n", + "Parameters:\n", + " \u001b[1mGP_regression. \u001b[0;0m | value | constraints | priors\n", + " \u001b[1mrbf.variance \u001b[0;0m | 3.4795633253942273 | +ve | \n", + " \u001b[1mrbf.lengthscale \u001b[0;0m | 1.4359249641097311 | +ve | \n", + " \u001b[1mGaussian_noise.variance\u001b[0;0m | 0.006393107409170726 | +ve | \n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# we sample the function and look at GP prediction\n", + "# Sample from the function\n", + "# Number of samples \n", + "num_measurements = 10\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value with noise\n", + "Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + "# Set up the kernel and the GP model\n", + "k = GPy.kern.RBF(1, lengthscale=1)\n", + "m = GPy.models.GPRegression(X_samples, Y_samples, k)\n", + "\n", + "# optimize hyperparameters\n", + "m.optimize('bfgs', max_iters=100)\n", + " \n", + "# Identify the mean and covariance of the GP fit over the grid\n", + "mean, Cov = m.predict(X_grid, full_cov=True)\n", + "\n", + "# Plot the generating curve and the GP\n", + "plt.figure(figsize = (8,4))\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + "print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HWZyehrI64QK" + }, + "source": [ + "We can now sample the GP given our measured data points:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 334 + }, + "executionInfo": { + "elapsed": 784, + "status": "ok", + "timestamp": 1617137710270, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "r0Gcp6PN66jx", + "outputId": "6e43b3fc-cda3-4e98-cfe8-6b59a8438388" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mean, Cov = m.predict_noiseless(X_grid, full_cov=True)\n", + "Z = np.random.multivariate_normal(mean.ravel(), Cov, 5).T\n", + "plt.figure(figsize = FIGSIZE)\n", + "plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + "plt.plot(X_grid,Z);" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7sNoGwsHYZ-g" + }, + "source": [ + "Some things to remember:\n", + "* GP will tend toward the mean as it gets further from the given data.\n", + " * Often the mean is assumed to be zero, is this best for your challenge?\n", + "* Hyperparameter optimization\n", + " * GP uses hyperparameters, e.g. the squared exponential kernel:\n", + " $k(x,x')=A exp(-(x-x')^2/2L^2)$\n", + " *$->$ Amplitude A and lengthscale L\n", + " * Optimize: m.optimize('bfgs', max_iters=100)\n", + " * Check your results: print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BYCK4d8LalYy" + }, + "source": [ + "### Active Learning Bayesian Optimization:\n", + "Need:\n", + "* $f(x)$ Model to represent data as it comes in.\n", + "* $\\alpha(x)$ aquisition function to quantify desirablity of performing each experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bFrl-0It6-IQ" + }, + "source": [ + "### Bayesian Optimization, Approach 1: Exploiting Prior Knowledge \n", + "1. Fit a GP to the data\n", + "2. Identify the GP mean\n", + "3. Find the maximum of the GP mean" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "executionInfo": { + "elapsed": 384, + "status": "ok", + "timestamp": 1617138208922, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "ANZq4F_5aUmZ" + }, + "outputs": [], + "source": [ + "# We're going to use the GP in the same way multiple times, so let's create a function\n", + "def GP_analysis(X, Y, X_grid):\n", + " # Use GP regression to fit the data\n", + " k = GPy.kern.RBF(1)\n", + " m = GPy.models.GPRegression(X, Y, k)\n", + " m.optimize('bfgs', max_iters=100)\n", + " \n", + " # Predict the mean and covariance of the GP fit over the grid\n", + " mean, Cov = m.predict(X_grid, full_cov=True)\n", + " variance = np.diag(Cov)\n", + " return mean, Cov, variance, m\n", + "\n", + "\n", + "# We will also plot the Bayesian Optimization results multiple times, so let's create a function too:\n", + "def plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample, true_max_x, true_max_y):\n", + " plt.figure(figsize = FIGSIZE)\n", + " plt.subplot(2,1,1)\n", + " plt.plot(X_grid, Y_grid,'k--')\n", + " plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[-1.5, 1.5],'m')\n", + " plt.plot(true_max_x, true_max_y, 'ro')\n", + "\n", + " plt.subplot(2,1,2)\n", + " plt.plot(X_grid, alpha_full,'r')\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[0, np.max(alpha_full)],'m')\n", + " plt.title('Aquisition function')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "rgIce_KHjOxW" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4167, + "status": "ok", + "timestamp": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# BO by maximizing mean\n", + "num_measurements = 5\n", + "Number_of_iterations = 20\n", + "\n", + "# The value (y) and position (x) of the true max\n", + "true_max_y = np.max(Y_grid)\n", + "true_max_x = X_grid[np.argmax(Y_grid)]\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value with noise\n", + "Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + "# We will use this matrix to store the GP mean at every iteration.\n", + "Y_estimates = np.full((len(X_grid),Number_of_iterations),np.nan)\n", + "\n", + "for i in range(0, Number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with a magneta line where we want to sample next.\n", + " # The red dot shows where the maximum is.\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8zpARKEZ7GL7" + }, + "source": [ + "To quantify how well this method works at finding the maximum, we will compute the minimum regret.\n", + "
This method **assumes that we know the correct answer**." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 758, + "status": "ok", + "timestamp": 1615737962603, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "1sFztSho7HF4", + "outputId": "9644e8d6-d4d4-4910-a338-b45fbc997dba" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This function computes the minimum regret.\n", + "# It takes as input:\n", + "# 1. The samples that have been measured, in the order that they were measured\n", + "# 2. The maximum\n", + "# It outputs the minimum regret at every iteration.\n", + "def calc_min_regret(Y_samples, Y_max):\n", + " min_regret = Y_max - np.maximum.accumulate(Y_samples)\n", + " return min_regret\n", + "\n", + "# Calculate the minimum regret for out previous exercise\n", + "min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + "\n", + "# Plot the minimum regret as a function of iteration number.\n", + "plt.figure()\n", + "plt.plot(range(0,len(Y_samples)),min_regret)\n", + "plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + "plt.ylabel('Minimum Regret')\n", + "plt.xlabel('Iteration Number')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RzHNKGEE7Lh5" + }, + "source": [ + "Let's quantify how well the previous exercise did at identifying the full function.\n", + "
For this we will use Root Mean Square Error (RMSE) between the predicted function values, given by the GP mean, and the true function values." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 1011, + "status": "ok", + "timestamp": 1615737988570, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Griy71F27MSn", + "outputId": "db432cb6-e3df-4a15-872c-3068a7fdc3da" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Now lets look at how well this method works at identifying the function\n", + "# Calculates the Root Mean Square Error at each iteration.\n", + "def calc_rmse(Y_estimates, Y_grid):\n", + " residuals_squared = np.square( Y_estimates - np.tile(Y_grid,(1,Y_estimates.shape[1])) )\n", + " rmse = np.sqrt( np.mean( residuals_squared, axis = 0) )\n", + " return rmse\n", + " \n", + "# Plot the RMSE\n", + "rmse = calc_rmse(Y_estimates, Y_grid)\n", + "plt.figure()\n", + "plt.plot(range(0, Number_of_iterations), rmse)\n", + "plt.plot(range(0, Number_of_iterations), rmse,'k.')\n", + "plt.ylabel('Root Mean Square Error')\n", + "plt.xlabel('Iteration Number') " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AwjcZP5l7QL2" + }, + "source": [ + "If we don't know the correct answer in either case (the true maximum, or the true underlying function) we can instead look at convergence." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 673 + }, + "executionInfo": { + "elapsed": 2110, + "status": "ok", + "timestamp": 1615737991850, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aictm78C7RF4", + "outputId": "fbc5ebf6-ef23-4228-8f4c-ccd5927f3984" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Y values')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(X_samples)\n", + "plt.title('X values')\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(Y_samples)\n", + "plt.title('Y values')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1ciU-b2G7UBj" + }, + "source": [ + "Convergence for identifying the true curve" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 338 + }, + "executionInfo": { + "elapsed": 451, + "status": "ok", + "timestamp": 1615737994053, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "u3fd8w8g7WOr", + "outputId": "0b57130d-9fa0-449f-fee4-0e5f596418ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def calc_function_convergence_using_RMSE(Y_estimates):\n", + " rmse_ = np.sqrt( np.mean( np.square( np.diff(Y_estimates, axis = 1) ), axis = 0 ) )\n", + " return rmse_\n", + "\n", + "rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(rmse_)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1992, + "status": "ok", + "timestamp": 1615737997999, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "IuQhNH487Ymh", + "outputId": "9ba8781c-a8ac-49e0-d6ae-288d3551378a" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_BO_metrics(Y_samples, Y_grid, Y_estimates):\n", + " \n", + " min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + " rmse = calc_rmse(Y_estimates, Y_grid)\n", + " rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + " plt.figure(figsize = (12,10))\n", + " plt.subplot(2,3,1)\n", + " plt.plot(range(0,len(Y_samples)),min_regret)\n", + " plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + " plt.title('Minimum Regret')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,2)\n", + " plt.plot(range(0, len(rmse)), rmse)\n", + " plt.plot(range(0, len(rmse)), rmse,'k.')\n", + " plt.title('Root Mean Square Error, from True')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + " plt.subplot(2,3,4)\n", + " plt.plot(range(0,len(Y_samples)),X_samples)\n", + " plt.plot(range(0,len(Y_samples)),X_samples,'k.')\n", + " plt.title('X values')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,5)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples,'k.')\n", + " plt.title('Y values')\n", + " plt.xlabel('Iteration Number')\n", + " \n", + " plt.subplot(2,3,6)\n", + " plt.plot(range(0, len(rmse_)), rmse_)\n", + " plt.plot(range(0, len(rmse_)), rmse_,'k.')\n", + " plt.title('Root Mean Square Error, from previous')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + "plot_BO_metrics(Y_samples, Y_grid, Y_estimates)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8ScTCX0b7c3R" + }, + "source": [ + "Now let's try exploring instead of exploiting. We're going to select the point with the maximum variance." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4620, + "status": "ok", + "timestamp": 1615738016798, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "UsxpFnbt7dub", + "outputId": "531dbc17-42e7-4b0d-ba62-21c3d005cac1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4833942331.583338\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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UTZs9pP173C3834pPEPB6AMjOLWDptx5n3YaNBMjCWlSNMidrcBJxinKzKXZk4bLEqSjMpTQ3G0dW/0MIh0IpKMix9ST07ptIR5bU8gyVJHAxYYSicba2+tja6qfO7d9r/HMqaa3pDEbZ4Q6w3e2noSNILKExKSjPs1NTkEN1YQ7luXsn7N7aGuv40VVnUVYznStufwBHbsF+j20xKcry7FTmZVORbzxK+2Rm84aMhN7uT7Z7ByK0+6N4Q9FBdaL0drh72rydeYWA0ZGubPJ0Pv/dhwj4u2j86EN2NjbR3OkDVxkVh3yMNl8EX7jXEMRYCIcOUZqXzdTJkyhxGk0tqbgZdGSZjYTutFOam0WJM4t8qYLfJ5lKVYxroWicLS0+PmzxsrM9OKLDiWLxBPUdQT5y+9nhDuAJGhOF5OdYmVuZS01RDtX5OYOuPoxFI/z6e9diMpn59E0/HjB5W0yKinyjBN9d9S6l6/HFZTfG6E8qzNnj9Wg8kUzmEdp9xtS7HcnJenp3tly7aiXNO7b024lt/X9e5dhll1A5ZRb9ZYL//u3PbN+5izZ/BL+2EcqrwGeayraNLcYGOoEl3EWuJU5pXg61VeVUlxYOuURtTNUbYHtboOc1m8VEsdNGqcveU1ovStENw3gnJXCRkcKxOFtb/Gxu9lLXHhjRpO0Px/iozc9HbX7q2gPEEhqLSTGpMIfJRTnUFjnIy967Y1ko4MPv6aCoYhIAW9b+l8kHHYrVltWzzeq//pHf3HkDn775Hg457tSe15WCslw7NYU5TCrIoTJfErbYUzyhexK72xfB7Q/z1KMPMeuoj+PIN0rgBzrJjr+rg2DAjzm3lOYOPy89/wxhqwtz4SQseaU922VbzRQ7rMTb66gszmdqTTVlBbnDHoJmNikKHDZKnFl79OGYiP03pApdjAvxhOajNj8fNHnZ1uo7oCE9g9Xuj7C11ce2Vj9NXca62S67hSnFDqYUO6jOzx4wocbjMX717S+x4d+vUjP7EL5yz9N4O9r4zqUnUlBaybnX3MaMQ48CjGr4j9avYerBC3BmWahJ3hDUFOZIlbg4ILG4seyp2x+mzWsk9jZfhK7gwEuhDkZ3x7m6bZvZ0dCMvWI65Fawy+2hPRDtmX1Ox6OYA+1UlRQwtaaKomwzhQ4rjuzhr+Oem21NVsEnE3tuFrnjfIY5SeAio+3yBNm4q4vNzb4R64imtabFG2Zrq48tLb6edZ9LXVlMK3EytcRBkcM2qLa6lY/dy8uP38fxZ1/O7AXHMWvBsQBsfvtf/O6eW3A31jFn0QmccvEXOOqoxcZNQYmDUtfwL3BCDCQci+P2RWjzGbP5tXkjtPnDe6wpfyAS8Titu+rYum0HDS1u3ME4AVM29oqZRPXum1ztc2OLeMi3aSoKXcydM4eSwvxht3/breaeqvfuxF7oSO0sdukkCVxkHF84xsZdXbzf2EW7f2SGfGmtaeoK8WGLkbS9oRhKQXV+dk/SHur80dvWr+b+6z7FESedwcU33Ln3MWNh/v3MgzzzyH04HA6amppwOp2pOiUhhswTjCYTulFSb/OF6QxEhz2ZUfcqeB9u2876De/jiZqIZOVhyi1FKSOx2ywmchJBwk1bKHJYmVRWxLSptRQWlw0rsfceQlns3J3YM7FWa0wmcKXUJOAxoBxIAA9qrX+yr89IAh/fjCpyH+sbutjhDozIbGhaa5q7wmxu8fYkbZOCmsIcppc6mVriJHsY7WwrH7uXNa8+z1d/+gfsOUZitlvNTCtxMK3USU1hDlaziU2bNuH1ejnyyCNTdWpCpEw0nqDdHzHm3/ftnoN/uKV1AJ/Py4fbtqPyKmkPxtlW14AvYUFZjRoonYgT79zF7BnTKStwQOcucnSIyVOn4cjNH9axnVkWil3G8DZjPnhjQqOxXFofqwm8AqjQWr+tlHIBa4CztNbvD/QZSeDjU4c/wvpGDxt3dY3Iql5aa9p8ETY3e9nc7KUrmbQnFzmYUepkarFjwLmlD0TQ76W4MJ/ppU6ml7ioLsiWeaXFuNBdWu9O6K3eMJ7g4Ia57YvWmsaWNrbV1dPY5sETNWEunLTH8La4v4NERwP2mJ9ip40lp51JocOG0olhrcVuUooCh7Vn1bYih40iZxb52dYx8f92TCbwvpRSfwTu01q/MtA2ksDHj3hCs7XVx7p6D/UdgRFZLKQrGGVTs5fNTV7c/ghKwaSCHGaWOZle4kxp0l73+stUVE3i5I8dxYxSI2nL2FYxEXS3rfdeLa/NF07JHAyhaJztDU1sr99FiyeAN24has/vmYzGpCDhaSLatgMnYYqcWUwqK2bK9BmU1Uwb1rHNJkVBjrGYTGGOMeVwkcNGfo5tVGeZG/MJXClVC/wTmKe17hpoO0ngmc8bivJevYf1jZ4RKW2HonE2N3vZ1ORll8foPV6RZ2dWuYsZpc6Uz/dtt5optoT4zP8sZvHixbz88ksp3b8QmUhrTWcgSmuybb27Gt7ba836A5VIaNoDxtC5Vl+YzVu24ktY0Vmu3RtFAlSXFVHszGLHmy+Rb1NMriqnasoMCsurBz0d8UAcWebksq828nOseywAlOqhbmM6gSulnMA/gO9qrZ/t5/0VwAqAmpqaI3bs2DHKEYpU2Nke4N2dnWxr9ae8bTue0Gx3+9m4q4vtbQHiWlPosDG73MWsMhe5/YzRHg6rWTG1xMmsche1RQ6u++q13HPPPWzYsIHZs4c29aUQE0koGt+j+r3NF6Hdn7rSenOHn+0Nu/BEIGDKxu2L9Aw31TpBrGMXMfdOairLOHLRYgpzLLRsWkPl1BnkFpampNbsqhOnkWVJXRIfswlcKWUF/gy8pLW+a3/bSwk8s0TjCTbt8vLuzg7aUrx4iNaaVl+YjY1eNjV3EYomyLaamVXu4qAKFyXOrJRWYZuUYlJhNrPLc5le6uypQqurq2PGjBl86lOf4qGHHkrZ8YSYKBIJY0rivm3rqSita63xBKM0uj3s3NVCsyeAN2YmZnNCcnlWHYsQde8k0dlItg5RmGPlyEVHMfOgeQCDuo70Xof9yhOm0dXh5ne/+x1f/OIXh30OY3IqVWX8VR4GNg4meYvM4QvHWLuzk/caPCkftx2IxNjU5GXjri7afBHMSjG1xMFBFblMLsxJeaeTYlcWcypczCrPxdnPtJG33norSiluueWWlB5XiInClBzyVeiwMbNsdzV4KBrH7Y8kh7eFe6rMh7L0r1KK/Bwb+TklzJlU0vN6LNnLvqnTz476BtoowldYTsLqwA2s3AV/a9lKjorQsuE/OExRihxZVJUVMXlyLRVTZvbMqPj680/w7H3f5o0//Yar7nyMlhYX//Pxk3n/faM/diqS+IDnl8Ze6McCq4D3MIaRAXxDa/3CQJ+REvjY1uIN8faOTjY3e1M6tWlCa3a4A7zf2MW2Nh8JDWW5WcypyGVmmSvlbU45NqMkP6cil9LcfU+ucscddxCJRLj11ltTGoMQon9doSht3vDu5O6P0OGPpOSaE47GkzcLYToCMRpa22nzhdDW3fPTJ8IBipx2yovzoKuFto3/ZfMrj9PV1oQjr5Acm5nW1lbmzJnDa6+9Rmlp6T6OuH9jtgp9qCSBj03b2/ys2dFBXXtg/xsPQVcwyobGLt7f1YUvHCPbamZ2hZFYi51Z+9/BEJiUYkqJgzkVuUwpdozpcaFCiD11zwvv9kVw+4yk7valZogbQDAap7UrwM7GZna5O8FZSmcwhj9Zwxj3d9L48FUkgkYf7JKSEtavXz/s5A1jtApdZLZEQvNBs5fVOzpoS657nQrxhGZbq4/1jV09NwSTi3L42MxiphY7U55Yi5w25lbmclBF7pB6qL/99tts27aNc845R4aLCZFmZpOi2JmVvLHfXQ3fPSFNdxW82288DrV9PdtqpqbIRU2Ra4/XQ9E4LR4/mze106Q0w5/mZmgkgYshicYTrG/w8HZd57AXR+itMxBhQ2MXGxq7CEbjOLMsLJpSyJzK3JQvVmCzmJhZ5mJeVS4VedlD/rzWmuuuu47169ezdOlSmQpViDHKajZRlmunrE9TWHf7ursnsRvPA0Pss2O3mikwR1nz6LeJBbw48wrJTlahn3jiiSmpQt8XSeBiUMKxOGt3eninrmPI/8gH0r262HsNHuraAygFU4oczKvKY3JRDqYUl2wr8uzMq8pjZplrWBMxPPnkk7z22mvce++9kryFyEB2q5mq/Gyq8ve8gQ9EYj2LvHRXx7v9kX12nOu7Dvvlx9T2dGJLVU/0gUgbuNinYCTOO3UdvFvfmZJ5kMGYzGV9YxcbGjz4I0Zpe15VLnMr8nDaUz/RyuwKFwdX5aWk3by7c8q0adN44403MA9jCkchxNjXPRTNmGEu0u8UshNuGJkY2wKRGKu3d/Beg2dIwzYGorVmZ0eQdfXGZC4ao237pKo8aoscKR/+VVWQzbzKPGaWOQdct/tAXHPNNXg8Hh5++GFJ3kJMALuHotmY3qs2PBJL4PYbyXx+9VU9Y9gBSktLR7Tk3U0SuNiDLxxj9fZ21jd4UjI7Ujga5/1dXaxr8NAZiJJtNXP45AIOrsojL8UzpNmtZg5KlraLUtxLvdvZZ5/NUUcdxdy5c0dk/0KIzGCzmKjIy96jH00ioRnNPq2SwAUA/nCMt7a38169p2fqweFo84VZW9/Jpl1eYglNRZ6dRXMLmV7qZPIDXiBAw5V5ww8cqMy3c3BVfspL2/0599xzR3T/QojMNdqrl0kCn+C6E3cqStyJ5Apja+s9NHQGMZsUs8tdzK/Oo9S1uxdo9tbh9163WUzJ0nY+Ja6RKW33ds0111BTU8NXv/rVET+WEEIMhiTwCSoYibN6Rztrd3YOO3EHIjHWN3bxXr0HXzhGrt3CsdOLmVuZm/JZ0kpzs5hflc+s8uH1JB+sSCTCjTfeyD333MN111034scTQojBkgQ+wYSicd7e0cE7OzuH3Tmt1Rvm3Z2dfJCcOnVSYTYnziqhttiR0iFgVrNiZpmL+dX5lOfte2rTVNq2bRsXXHABq1ev5ktf+hLf/e53R+3YQgixP5LAJ4hoPME7dZ2s2dFBKHrg47gTCc22Nj/v7uykoTOIxaSYU5HLIdWp7zhW6LBxcHUecypSX5LvLRKJ8Oqrr6K1xuFwcOyxx+Lz+Vi4cCHxeJxnn32WT37ykyN2fCGEOBCSwMe5eELzXoOHNz9y4w8feOIOR+NsaOzi3fpOvCGjmvy4ZDV5VgqTq9mkmFbiZH51HpMKc/b/gWEKhUKcc845vPDC7jV04vE4ubm53HPPPRx99NHU1taOeBxCCDFUksDHKa01G3d5+fc297CmPO0IRHh3Zycbd3URjWuq8rP52IwSppaktprcZbdwcFUe86rycPRatrOhoYHLLruM2tpavv3tb1NVVZWyYwaDQc466yxefvll7r77bhYtWkQgEMBkMtrWL7744pQdSwghUk0S+Di0rdXHG1vdB7zISPekK+/UdbDdHcCsFDPLnRw2qSClPb6VMiZzObgqn6nFe0/msnbtWk4//XQ6Ozt5/fXXOeyww7j66qt7Ynz77bd54okneOqpp1i0aBHPPvvskI5vsVjIzc3lkUceYfny5Sk7LyGEGA2SwMeRxs4gr3/YRkNn8IA+H4sn2NTs5d26Ttz+CNlWM4umFHJwn1LxcJmVIifLzPKjp5CX0/9kLv/4xz/4xCc+QX5+Pv/6179wuVxUV1cD8Pjjj3PLLbewbds2rFYrxx9/PF/5ylcACAQCJBKJfc5R7vf78fv9lJaW8vTTT8tqYkKIjCQJfBxw+8K8sdXN1hbfAX3eH47xXoOHdfUegtE4RU4bJx9UyqwyV0onRqnKz+bg6jyCeX6UYsDkDTBr1iyWLFnCT3/6UyorK/d4b+XKldTU1PC1r32Nc845h8LCwp73br75Zn7/+9/z0EMPcfLJJ++132AwyBlnnEF7ezurV6/GYpH/AkKIzJTWq5dS6hHgE0CL1npeOmPJRL5wjH9vdfN+YxeJA1iUps0X5p26Tj5o8hLXmtqiHA6vKaC6IDtlpdL+Jlx5Zx+7fuONNzjqqKMoLy/nueee63ebxx9/fMDPn3322fzlL3/h44Xe8UoAACAASURBVB//ON///ve5/vrre84lEolw7rnn8ve//53HHntMkrcQIqOl+wr2K+A+4LE0x5FRwrE4q7d38E5dx5AnYdFas6M9wDt1ndS1B4xhYJW5HDYpnwKHLWUxHsiEKy+88ALLli3j1ltv5aabbjqg4x5zzDGsWbOG5cuXc+ONN/Lee+/xi1/8AovFwsUXX8wLL7zAAw88wKWXXnpA+xdCiLEirQlca/1PpVRtOmPIJPGEZl19J//9qJ3gENfk7m7ffqeuk3Z/BIfNzOJpRRxclUd2ioaBDWfClbfeeovzzjuP+fPnc8011wwrDofDwVNPPcX8+fO58847+cY3vsFjjz3G73//e+666y5WrFgxrP0LIcRYkO4SuBikzc1e3tjSRmdgaEPCApEY6+p3t28XO218fE4ZM8tcmFM08X6xK4uDq/KYXe46oAlXtm7dyumnn05paSkvvPACLpdr2DEppbjppptYsWIFpaWlfPnLX6a2tpbPf/7zw963EEKMBWM+gSulVgArAGpqatIczehr6AyyanMruzyhIX3O7TOmOd3YZExzmur2batZMaPMWLqzMj97/x8YgNaaCy64gHg8zsqVKykvLx92bL2VlhoL+FZUVEjyFkKMK2M+gWutHwQeBFiwYMHw17nMEO3+CKs+bGVbq3/Qn+kev/12XQc73AHMJsVB5S4OqymgMEXt2yWuLOYNo7Tdl1KKu+++G7PZzKxZs1IQoRBCTAxjPoFPNP5wjP9sc7O+YfA9y+MJzQfNXt6p66DNZ4zfPmqqMX47xzb8r9hmMTGrzMW8qryULSbi9/v52c9+xpVXXslxxx2Xkn0KIcREku5hZL8FTgCKlVL1wC1a64fTGVO6RGIJ1uzo4O26jkGvEhaKxlnX4GHdzk78kThFDhtLDipldorGb1fk2ZlXlcfMstQu3en1elm3bh3fu/17XHzxxeTl5aVs30IIMVGkuxf6Rek8/liQSC428t8hLDbSEYjwbl0n7+/qIpbQ1BTmcEpNPjWFOcNu3862mTmoIpd5lbkpX10M4O2332btu2ux2qysWrVKkrcQQhygARO4UurXWutPKaWu0Vr/ZDSDmig+bPbyr61u2v2R/W6rtaaxM8TbdR1sa/NjVopZ5S4Oq8mneJiJ1qQUk4tymFuZy9QSZ8p6p/fV1NTEmWeeyTes3+CwQw9j6tSpI3IcIYSYCPZVAj9CKTUZ+IxS6jFgj6u61rp9RCMbx3a2B3h9SxtNg+hZHk9oPmwxxm+3eMPYrSYW1hYyv3r485MXOmzMqczloIpcnCmc63wgf/vb3+js7GTevHnYslI3aYwQQkxE+7pq/xxYCUwF1rBnAtfJ18UQtHSFeGNrG9vbAvvdNhSNs77Rw9qdHnzhGAU5Vk6aXcpB5cNr386yGh3S5lTmUpF34MO/DsQll1zCKaecQsP5DaN6XCGEGI8GTOBa63uAe5RSP9NaXzmKMY07bl+Yf29zs6XFx/46lncm199+P7n+dnVBNifNLqW26MDbt01KUVucw0EVuUwtdqR0gZLBeOCBB5g+fTpLliyhtLSUBiSBCyHEcO233lSS94HzBKL8e5ubD5q8+xwSprWmoTPIO3WdbGvzY1IY7dvDXH+7NDeL2eW5zC53pXQ50MHq6uriRz/6Ebfffjtnn302S5YsGfUYhBBivJJx4COgMxDhzY/a2bhr34k7lkjwYbOPd+o6afWFybaah92+7bJbOKjCSNoj0Yt8MMLhMD/72c/47ne/S1tbG+effz4PPfRQWmIRQojxShJ4CnX4I7y5vZ1N+0ncgUiM9+o9rGvwEOgevz27lNkH2L5tt5qZWeZkVrmLqvzULQU6GFu3buWPf/wjbrebRYsWsWzZMv7zn//wv//7vyxZsoTvfe97HHnkkaMWjxBCTBSSwFOgyRPire3tbG3ddxt3q9eYn/yD5t3zkx866cDGb1vNiqklRtKuLXKM2NCvgcTjcX7yk59w0003EQwGMZvNXHvttSxbtozjjz+et956iwULFoxqTEIIMZFIAj9AWms+avOzZkcH9R3BAbdLJLd7t66T+s6gsf52xYGtv202GeO1Z5W7mFrsTOnsaEO1YsUKHnnkEc444wzuvfdeampq9rgJkeQthBAjSxL4EIWicTY0Gstz7mtpz3A0zobGLtbWd9IViuGyWzh2ejFzK3OHtAiISSkmFWYzs8zF9FJnShYQOVBaaxKJBGazmauuuoolS5Zw0UUXjWqVvRBCCIMk8EFq6AzyfmMXHzQZw7sG4vaFWVvvYWNymtPKfDvHzihmWrET0yCruZWC6oIcZpY5mV7qTMmCJGAk4EcffZSNGzfypS99ierqalauXMmbb77J8uXLmTRp0oCfjcViXHPNNYRCIR566CGOOOIIjjjiiJTEJYQQYugkge+DJxBlY1MX9913HzOP+jiugiIAvB1u1q5aybHLLgF2V5Ovre9kZ3sQs0kxq8zFIZPyKHUNbvUupaAy3yhpzyh1jsiwrx/96Edcf/31ZGVlcfbZZ1NdXY3P5+OWW27h1ltv5dRTT+Wzn/0sn/jEJ7Dbd8fd1dXFhRdeyIsvvsj111+P1lpK3UIIkWaSwPto90f4sNnLllYfLV1hXn/+CZ6979uUTX6cq+58DICf3nAZzTu2EI0ncB1+OuvqPXhDMZxZFhZPK+Lgyjyybfuv6lYKKvOymVHmZEaZa0SnM/3LX/7CDTfcwHnnnceTTz6JyWS0n5977rls27aNX/7ylzzyyCOcd955VFdXs3PnTgD++c9/cvXVV/P+++/z4IMPcsUVV4xYjEIIIQZP6UGuOT0WLFiwQK9evTql+4zGE9R3BNnh9rPDHdhrYRFvh7snYTvzCgHwedpxltdSdP53ITuP6vxs5k/KG3Q1eUWenRllLmaWOXHZrSk9n/5s2rSJhQsXMmPGDFatWkVOTk6/28XjcV555RV27drF8uXLAZg1axZNTU0888wznHLKKSmJ550T3gHgsL8flpL9CSHEeKWUWqO17rdX8IQugf9tYzMbGruIJwa+iXEVFHHVnY9x54pP4PMY67eYcvIovuC7zJ02iUOq8ynINrNj47u8+rc1HLTweKqmzd5rPyWuLGaVu5hZ5iIve+STdm/V1dVcdNFF3HzzzQMmbwCz2czSpUv3eO2ZZ56htLSUsrKykQ5TCCHEEEzoBN7U4cXn7SIWiRCLRkjEY1iz7OQWlgDQ3tzA2jVvsX5nG8FIrOdzNrOJi46sZsM//8KLz65n05rXCXo9AMw8fHHPdvk5VmaVu5hdnkvhEIeMDVdXVxerVq2ioKCAo48+mgceeOCA9nPwwQenODIhhBCpkNYErpRaCvwEMAMPaa2/P5rH//aVF7J53Zo9Xps062Cu+cnv+Mjt5/lX3ibhqqDl7/eRCHZhy3ZiNpsIejv4xQ2foq2xDmd+EfMWL2HOwuOZfuhRFBcXMavMxUerX+XSC87Bah290rbb7eauu+7ir3/9K2vWrCEej3P++edz9NFHj1oMQgghRkfaErhSygzcD5wC1ANvKaWe11q/P1oxnHrep5l91ClYbDYsVhsxs50OewW//Nd2fOEY9orpWDetpMG9k7LJ0/fqxHbaZ67lpPOvwGI2U1ucw9zKPKYUO1j77jt89lMX8asHj+OWW26hqKiIgoICqqurMZvNBINBfD4fkUiE4uJisrKGP2e51prTTjuNNWvWsHjxYr7+9a9z4oknsnjx4v1/WAghRMZJZwl8IbBFa70NQCn1JHAmMGoJ/NilZzG5PcAOd4D1DR4+cvvRUZhcaOOEWSVMKXJgWnIQr08q5ZDjlvYMI7vqzsdYu2olZ1x4OfOq8jioInePYV+HH344TzzxBJ/73Oc4+eSTe15vbm6mtLSU2267jR/84AcAVFVV8fDDD3PqqafuFZ/H42Ht2rVUVVUxbdq0fs/B7XbjdDrJysrirrvuwuVyMX/+/FT+mYQQQoxB6UzgVcDOXr/XA4tG6+CNnUFeeb+Zf2914wvHyLGZOaKmgHlVeXt1Muse7w3GzGiHzZrM5UtuZFLhwAuHXHzxxZx44ols3ryZ9vZ2Ojo6KCw0erEvW7aMSZMmYTKZuO+++1i6dCnXX389d955JwAtLS38+Mc/5v7776erq4vzzjuPp59+GoCysjKi0Sgulwun00lTUxNXXnklt99+O8ccc8xI/KmEEEKMQelM4P1lvr26gyulVgArAGpqalJ28Ef/vZ2/vt9MTWEOx88sYUrxvhcEybaZmV+Vx8HVeYMe+lVRUUFFRcVerx999NE97dLLly/npptuYs6cOQD88Ic/5Fvf+hahUIhzzz2Xyy67jMrKyp7PXnHFFXg8HrxeL16vl3nz5nH++ecP4cyFEEKMB+lM4PVA77k7q4HGvhtprR8EHgRjHHiqDv7ZY6dQkGMjGInvc7v8HCuH1xQwpzIX6wEs9bk/drudH/7whz2/V1RUcNFFF3HDDTcwa9asvba//fbbUx6DEEKIzJPOBP4WMEMpNQVoAC4ELh6tg5e67BQ6bDRE+l9JrDQ3i0VTCplW4hzVaUMvueQSLrnkkv1vKIQQYkJLWwLXWseUUlcDL2EMI3tEa70hXfF0q8izs3BKIVNLnOkORQghhBhQWseBa61fAF5IZwzdyvPsHD2tiMlFjnSHIoQQQuzXhJ6JDaDYaWPxtCKml7rSHYoQQggxaBM6gR8zvZjKPLssjSmEECLjTOgEXpWfne4QhBBCiAOS+nFRQgghhBhxksCFEEKIDCQJXAghhMhAksCFEEKIDCQJXAghhMhAksCFEEKIDCQJXAghhMhAksCFEEKIDCQJXAghhMhAksCFEEKIDCQJXAghhMhAksCFEEKIDCQJXAghhMhAaUngSqnzlFIblFIJpdSCdMQghBBCZLJ0lcDXA2cD/0zT8YUQQoiMlpb1wLXWGwGUUuk4vBBCCJHxxnwbuFJqhVJqtVJqdWtra7rDEUIIIcaEESuBK6X+CpT389Y3tdZ/HOx+tNYPAg8CLFiwQKcoPCGEECKjjVgC11qfPFL7FkIIISa6MV+FLoQQQoi9pWsY2SeVUvXAYuAvSqmX0hGHEEIIkanS1Qv9D8Af0nFsIYQQYjyQKnQhhBAiA0kCF0IIITKQJHAhhBAiA0kCF0IIITKQJHAhhBAiA0kCF0IIITKQJHAhhBAiA6VlHLiY2JyHOtMdghBCZDxJ4GLUzfjxjHSHIIQQGU+q0IUQQogMJAlcCCGEyECSwIUQQogMJAlcCCGEyEBKa53uGAZNKdUK7EjhLouBthTub6yS8xxf5DzHFznP8SXV5zlZa13S3xsZlcBTTSm1Wmu9IN1xjDQ5z/FFznN8kfMcX0bzPKUKXQghhMhAksCFEEKIDDTRE/iD6Q5glMh5ji9ynuOLnOf4MmrnOaHbwIUQQohMNdFL4EIIIURGmhAJXCm1VCn1gVJqi1Lqa/28f7lSqlUp9W7y53PpiHM4lFKPKKValFLrB3hfKaXuSf4N1imlDh/tGFNhEOd5glLK0+u7/NZox5gKSqlJSqnXlFIblVIblFLX9LNNxn+ngzzPjP9OlVJ2pdSbSqm1yfO8rZ9tspRSTyW/z/8qpWpHP9LhGeR5Zvz1tptSyqyUekcp9ed+3hv571NrPa5/ADOwFZgK2IC1wJw+21wO3JfuWId5nh8DDgfWD/D+acCLgAKOAv6b7phH6DxPAP6c7jhTcJ4VwOHJ5y5gF/DG/r5T4OfAzfvY7zeAh0Yo5tsxxr82DeM8N/fz/3Of3+n+znks/CS/I2fyuTX5XR3VZ5urgJ8nn18IPJXuuEfoPDP+etvrXK4FftPfv8/R+D4nQgl8IbBFa71Nax0BngTOTHNMKae1/ifQvo9NzgQe04b/APlKqYrRiS51BnGeaaeU+rtSqkMplXWg+9Ba79Jav5187gXeBG7ts9le3ylwm9b6O8k4TlBK1ffZ7x1a65SXeJRSk4CvYiTf8sF+rp/z3AhU7eM4lyulXu+zjy90n/NYlfyOfMlfrcmfvh2QzgQeTT5/BliilFKjFGJKDPI8xwWlVDVwOvDQAJuM+Pc5ERJ4FbCz1+/19H+BOCdZDflM8mI03gz27zAeLE5W4b2olJo7mgdOVpMdh3HRWpbCfR6GUZrpbSx9p5MBt9a65UB3sI/zhOR3ilHiyTnQY6RTsrr1XaAFeEVrPeD3qbWOAR6gaHSjHL5BnCeMj+vtj4EbgMQA74/49zkREnh/dzx97wj/BNRqrecDf2X3XdN4Mpi/w3jwNsbUg4cA9wLPjfLxLwP+A/wK+HTvN5RSRUqp55VSXcl2wu90lyaVUrVKKa2UsvTa/u9KqS8Cvwf+CLyQfF0ppe4GTgFWJi+E85Ifu0UpdbtSyoFRvV6plPIlfyqVUrcqpR7vdYxlybbKzuTxDur13nal1HXJ/XuS7Xn2vieslDoZeKXXsX7VX+k/ub+Tk89vVUo9rZR6TCnlVUptTMb7Fa11V7Jt/FllTJ/8LEYJ5kJgNnBY8jidyX39Sil1e6/jXJFsd2xP/r0re72nlVJfUEp9mKwluX+0Srla67jW+lCgGljY6zvrCa+/j418ZKk1iPPM+OutUuoTQIvWes2+NuvntZR+nxMhgdcDve/wqoHG3htord1a63Dy118AR4xSbKNpv3+H8UBr3dVdhae1fgGwKqWKRzGEy4Ankj+nKqXKer13PxDCaPf9TPJnXxRwZXJfvS8UH8foC/Ab4ArgAsCN8Z0GALTWfuB/gEattTP5s8f3rZSaCfwW+ApQgnGD8CellK3XZucDS4EpwHyM9ss9aK3/2udYe20zgGUYTVrFQBaQrbV+VillBv6Mse5BLVAJ/FprvRFYAYQxEkB+3x0qpU4CvpeMuyK5jyf7bPYJ4EjgkOR2pw4y3pTQWncCf8f4u/bW8380eSOXxxhvLtqXgc5znFxvjwGWKaW2Y/z7Oqn3jXHSiH+fEyGBvwXMUEpNSV6YLgSe771Bn7bgZRjtcOPN88BlydLbUYBHa70r3UGlmlKqvLtEpZRaiPFv3D1Kxz4Woyr56eSd+Vbg4uR7ZuAc4Ftaa7/Wej37KHkkz2EWsEtrfVeft6MYHb7ew7hh2JQ8rgcIDiHkC4C/aK1f0VpHgR8C2cDRvba5R2vdqLVuxyg5HTqE/e/P6xil7l8kn3ff7CzESNrXJ29E8oE3ku9NST4O9J1eAjyitX47mSS+jlH9Xttrm+9rrTu11nXAa6T2nPqllCpRSuUnn2cDJ2N8b709z+5am3OBV3WyB1SmGMx5jofrrdb661rraq11LUZOeVVrfWmfzUb8+7Tsf5PMprWOKaWuBl7C6JH+iNZ6g1Lq28BqrfXzwJeVUsuAGMYd0uVpC/gAKaV+i9FbtzhZdXkLRgcStNY/xyhdnQZswSilLU9PpMMziPM8F7hSKRXDSGYXjuJF8NPAy1rr7pWIfpN87W6MEq6FPdus97Wy3jEYCS2abE8sBLxKqS8k378vue85GIl7Z/L3q4cQb2XvGLTWCaXUTvZsR2/q9TyQ/EyqNGGc56cwLvL25Lm+mDzW5zB6mPf+Tp3AB/v4TisxmlEA0Fr7lFJujHPa3uu43QLJfY60CuDR5I2cCeMm7899rkMPA79WSm3BuA5dOApxpdpgzjPjr7cDGe3vc9wncOipSn2hz2vf6vX86xh36hlLa33Rft7XwBdHKZwRM4jzvA8juY2qZGnjfMCslOpOEFkYvf0PAdZjXLAmsbtEUtNrF/7kYw7QpbV+XSn1AfBDrfVDSqnLgc8lb1K63aOUKgWeBlZprVf3ac7d341LI3Bwr3NQyfgaBnPO++GnV2ez5AV9ryURtdavJw9dC3wELMCo3v4syd69vb9TpdSnMZoNBtKIURvRfVwHRsehVJzTAdNar8PooNf39d7XoRBw3mjGlWqDPM+Mv972prX+O0ZTwah/nxOhCl2I0XAWEMcoER+a/DkIWAVcprWOY3TGulUplaOUmkOvTm5a61aMJHOpMnrxfgaY1t+BlFJHKqUWKaWsGIkylDx2X81AkVIqb4CYnwZOV0otSe7rqxjty/8a4rn3ZzNGifr05L5vwrihGYw3Mca9f18p5VDG5CDHJN9rBqr7tNP39htguVLqUGUM47sDY86D7Qd8JkKMUZLAhUiNTwO/1FrXaa2bun8wSo6XJDuxXI1RXduE0Uv9l332cQVwPUb77lwGTqS5GO3GHRhV4G6M9us9aK03YXRS26aMXuaVfd7/ALgUo7d+G3AGcIY25ksYFq21B2Mii4cwbkz8GJ16BvPZeDKW6UBd8nMXJN9+FdgANCml2vr57N+AmzF67u/CuAnKxKpoIfZLFjMRIk16VYsfm+5YhBCZR0rgQgghRAaSBC6EEEJkIKlCF0IIITKQlMCFEEKIDCQJXAgxoOSQtXXJoVwOZcyb3nduayFEGmRUFXpxcbGura1NdxhCCCHEqFizZk2b1nqvSZAgw2Ziq62tZfXq1ekOQwghhBgVSqkBp1yWKnQhhBAiA0kCF0IIITKQJHAhhBAiA2VUG7jIQF4v/OMf8MEH8OGHsHkzH65ZDCYTMyb/CbKzweGAgw6ChQvhyCNh5kwwyb2lEELsiyRwkXpdXfCnP8HvfgcrV0I4bLxeVAQzZ+KzzzUWupy8DoJBY/tf/hLuS64CmpsLp58On/40nHwymM1pOxUhhBirJIGL1Kmvh+98Bx591EjaVVXwhS/AJz8J8+dDQYGx3QnvGI9//OPuz8bjsHEjvPUWvPEGPPss/Pa3UFkJl15q7GfKlNE/JyGEGKOknlIMX0sL/O//wvTpRkn68suNJFxXBz/+MRx//O7kPRCzGebNg+XL4aGHYNcueOYZOOIIuOsuo1r9yiuhoWFUTkkIIcY6SeDiwCUS8MMfwtSpcM89cPHFsHkz/PzncPTRw2vHzsqCc86B55+HHTtgxQp4+GHjJuGrX4W2vZaCFkKICUUSuDgwO3ca7dPXXw9LlsD778Mjj8BIzJRXWQn33290hLvgAqNUf9BB8OSTkEEzCQohRCpJAhdD99RTRpv2m28apeLnnoNZs0b+uFOmwK9+BWvXGqX+iy4y2tcbG0f+2EIIMcYMO4ErpZYqpT5QSm1RSn2tn/ezlFJPJd//r1Kqts/7NUopn1LquuHGIkZYLGZ0JrvwQpg920ikn/kMKDW6ccybB//6l1F9/9JLMHcuPP746MYghBBpNqwErpQyA/cD/wPMAS5SSs3ps9lngQ6t9XTgbuAHfd6/G3hxOHGIUeD3w1lnwQMPwI03wqpVMG1a+uIxm4228HXrjIT+qU/B5z8PoVD6YhJCiFE03BL4QmCL1nqb1joCPAmc2WebM4FHk8+fAZYoZRTZlFJnAduADcOMQ4yklhY44QR48UWjg9r3vw+WMTICccYMeO0146biwQfhuOOMTm9CCDHODTeBVwE7e/1en3yt32201jHAAxQppRzAjcBtw4xBjKQPP4TFi2HDBqOt+/OfT3dEe7NYjJuKP/zB6AV/+OFG1boQQoxjw03g/TV+9u0WPNA2twF3a619+zyAUiuUUquVUqtbW1sPMExxQLZuNcZwd3XB3/8OZ5yR7oj27ayzYPVqYwKZ004zSuRCCDFODTeB1wOTev1eDfTtEtyzjVLKAuQB7cAi4E6l1HbgK8A3lFJX9z2A1vpBrfUCrfWCkpJ+1zQXI6G+3hgmFokYyXvhwnRHNDgzZhgd3JYuNWoLvvlNGWomhBiXhtuQ+RYwQyk1BWgALgQu7rPN88CngX8D5wKvaq01cFz3BkqpWwGf1vq+YcYjUqGlBU45Bdxuo3157tx0RzQ0TqcxTetVV8Eddxgzwj38MNhs6Y5MCCFSZlgJXGsdS5aaXwLMwCNa6w1KqW8Dq7XWzwMPA79WSm3BKHlfONygxQjq7IRTTzU6gr30kjGVaSayWIwe85Mnw003GVOzPveckdyFEGIcGHZXYq31C8ALfV77Vq/nIeC8/ezj1uHGIVIgHDbauTdsMFYTO+64/X9mLFPKqEKfNMkYr37qqfDCC5CXl+7IhBBi2GQmNmHQ2lgs5PXX4de/NpLdeHHZZcbscW+9ZbTrt7enOyIhhBg2SeDC8OMfGyuJ3XyzMd/4eHPOOcYws/fegxNPNNr5hRAig0kCF0Zb93XXGfOK33pruqMZOaefDn/+szG2/fjjobk53REJIcQBkwQ+0XWv8DVvHjz22PCWAM0EJ58MK1caPdNPPlmWJRVCZKxxfrUW++T1wrJlxvCq55+fOD20P/Yxo5Peli3w8Y8bPe+FECLDSAKfqLQ2xklv2QJPP20Mt5pITjrJaBPfsMGY9KWrK90RCSHEkEgCn6gefdRYgvOWW4yFSiaipUuNm5c1a4z2cb8/3REJIcSgSQKfiDZuhC9+0eiN/c1vpjua9DrzTPjNb4zpV88915g6VgghMoAk8IkmGDQ6rTkcRgncbE53ROl33nnGrG0rV8Lll0Mike6IhBBiv8bIos5i1Fx7rTEW+sUXobIy3dGMHZ/7nDH3+9e+BoWFcO+9xkxuQggxRkkCn0j+/Gf4+c+NMd9Ll6Y7mrHnhhuMYWU//CEUF4/vMfFCiIwnCXyicLvhiitg/ny4/fZ0RzM2KQV33mn8rW67DUpLjZ76QggxBkkCnyiuvtpITCtXQlZWuqMZu5SCBx80SuJXXw3l5XD22emOSggh9iKd2CaCp5+GJ580howdcki6oxn7LBbj77VoEVx8Maxale6IhBBiL5LAx7umJqMaeOFCuPHGdEeTOXJyjNnaJk82ZqvbsCHdEQkhxB4kgY9nWsPnP29MUPLoo0bJUgxecbGx0IvdbnT6q69Pd0RCCNFDEvh49tvfGnOc33EHzJ6d7mgyU22tMeTO44HTTjMehRBiDBh2AldKLVVKfaCU2qKU+lo/AVs18wAAFplJREFU72cppZ5Kvv9fpVRt8vWFSql3kz9rlVKfHG4sope2NrjmGjjqKPjyl9MdTWY79FD4/e+NGezOOUdmaxNCjAnDSuBKKTNwP/A/wBzgIqXUnD6bfRbo0FpPB+4GfpB8fT2wQGt9KLAUeEApJXW8qXLttUZp8aGHZLa1VDjlFHj4Yfjb3+CznzWaJ4QQIo2GWwJfCGzRWm/TWkeAJ4Ez+2xzJvBo8vkzwBKllNJaB7TWseTrdkCuiKmyciX8+tfw9a/D3Lnpjmb8uOwy+M53jClob7op3dEIISa44SbwKmBnr9/rk6/1u00yYXuAIgCl1CKl1AbgPeALvRJ6D6XUCqXUaqXU6tbW1mGGOwH4fPCFLxht3t/4RrqjGX+++U1jQpw77jDmTxdCiDQZbgLvb7LoviXpAbfRWv9Xaz0XOBL4ulLKvteGWj+otV6gtV5QUlIyzHAngJtvhh07jKpzmbAl9ZSCn/7U6NB21VXG9LRC/H97dx4lVXnmcfz72E2zKiAoLmwaIRFwQVujYSYSCaMGEaLEwGQxJi4TxMSYmMiYmBmVRJNzoiZqFIUThmhEMUaCKBqUqJwM0iyJCy4tIdooUQRRFMGGZ/54qoairZamq7tu36rf55x76lbdt6qet2/1fe57l/cVSUChCbwO6JPzvDfwamNlMue4uwLrcwu4+0rgXWBIgfGUtyVL4PrrI7EMG5Z0NKWrshJmzYKhQ2NktyVLko5IRMpQoQl8CTDAzA4ysypgPDCnQZk5wFmZ+XHAI+7umfdUAphZP+DjwOoC4ylf9fVxz/f++8NPf5p0NKWvSxe4/37o1QtOPRVWrUo6IhEpMwUl8Mw560nAfGAlcJe7P2NmV5jZaZli04AeZlYLXAxkbzX7F+CvZrYCuBeY6O7rComnrN14IyxfHi3wvfZKOpry0KtX3CNeXx8dvazTz1dEisc8RbfDVFdXe01NTdJhtD1r1sRFa//6r9EqbOPjWC8fvhyAoQuHJhxJC1m0CEaMiEPqCxZEN6wiIi3AzJa6e3W+ZeqJrRRcdFG0Am+4oc0n75I0bBjccQcsXgwTJsS6EBFpZUrgaTdvHsyeHVefH3xw0tGUr9NPh1/+MrqunTRJHb2ISKtTz2dp9t57cMEFcOih8L3vJR2NTJoUpzOuvhr69Il7xkVEWokSeJpNmQKrV8PChVBVlXQ0AtHBy5o10VPbAQfA2WcnHZGIlCgl8LR67jn4+c+je88TTkg6Gskyi0501q6NHtt69oTRo5OOSkRKkM6Bp5F7dNbSuXMkcWlbqqpi9LKjjoIzz4Qnnkg6IhEpQUrgafS738Gjj0aHLfvum3Q0ks+ee8YtfX37RkcvTz2VdEQiUmKUwNNm48YYKvSYY+IQrbRd++wDDz0UR0pOOimuVxARaSFK4Gnzox/B66/Dr3+tcb7ToF+/SOLvvx9jiq9dm3REIlIilMDTZNmy6DJ14kQ4+uiko5GmGjw47td/7bVI4uvX7/o9IiK7oASeFtu2xTjfPXvCVVclHY3sruOOg/vugxdfjH7T33kn6YhEJOWUwNPillti2Mprr4Vu3ZKORppjxAi4++44kjJ6NGzenHREIpJiSuBpsHYtTJ4cCWDChKSjkUKMHg0zZ8Jjj8EZZ8CWLUlHJCIppQSeBhdfHBdB3XSTBispBRMmwNSpMRSpkriINJMSeFv38MNx3/fkyTBwYNLRSEs55xy4+ea4V/wLX4CtW5OOSERSRgm8LXv//bjifMAAuPTSpKORlnb++XFXwR//GD22KYmLyG4oKIGb2clm9ryZ1ZrZhzKMmbU3s1mZ5YvNrH/m9ZFmttTMnso8nlhIHCXrJz+B2to4dN6hQ9LRSGuYOBF+9au4Qv2LX1QSF5Ema3YCN7MK4EbgFGAQMMHMBjUo9g1gg7sfAlwLXJN5fR0w2t0PA84CZjY3jpL19NMxLOWXvgSf/WzS0UhrmjQpxhL/wx9g7FhdnS4iTVJIC/xYoNbdV7n7VuBOYEyDMmOAGZn52cAIMzN3X+7ur2ZefwboYGbtC4iltGzbFudIu3aF665LOhophgsvhFtvhQcfhFNO0X3iIrJLhSTwA4FXcp7XZV7LW8bd64GNQI8GZc4Alru7LsXNuuEGWLwYrr8+Om6R8nDOOXD77TF62ciRsGFD0hGJSBtWSALPdz+T704ZMxtMHFY/v9EvMTvPzGrMrOaNN95oVqCpsno1XHZZtMJ0z3f5mTAhhiJdvhyGD4/uV0VE8igkgdcBfXKe9wZebayMmVUCXYH1mee9gXuBr7r7S419ibtPdfdqd6/eZ599Cgg3Bdyju1SIwUp0z3d5GjMG5s6Fl16C44+H555LOiIRaYMKSeBLgAFmdpCZVQHjgTkNyswhLlIDGAc84u5uZt2A+4HJ7r6ogBhKy29/C/Pnxzjf/folHY0kaeRI+POf44K2YcNgkf5NRGRnzU7gmXPak4D5wErgLnd/xsyuMLPTMsWmAT3MrBa4GMjeajYJOAT4kZmtyEz7NrsWpaCuDr71rWhxTZyYdDTSFhx9NPzlL9CjR9yJcO+9SUckIm2IuTc8bd12VVdXe01NTdJhtLzt2+Gkk2JjvWIFHHJI0hG1quXDlwMwdOHQhCNJiXXr4NRT4ckn49bCSy7R6RWRMmFmS929Ot8y9cTWFtx4I/zpT/CLX5R88pZm6NkTHnkExo2DH/wAvvIV3SsuIkrgiXvuOfj+92HUKDj33KSjkbaqUyeYNQuuvDJuNTvhBFizJumoRCRBSuBJ+uAD+PKXoXNnuO02HRaVj2YGP/xhnAt/9lk45hh4/PGkoxKRhCiBJ+mKK2Dp0hhacr/9ko5G0mLs2LheonNn+Mxnos/87duTjkpEikwJPCkPPABTpsDZZ8PppycdjaTNYYfFzt+4cTs6/nn99aSjEpEiKt8Evm4d3H13Mt+9alUMUnLEEXEBm0hz7LVXjBV/881xz/iRR8JDDyUdlYgUSfkm8ClTotvKFSuK+72bN8MZZ0Sva/fcAx07Fvf7pbSYxbjiixfH4DcnnRTPNRiKSMkr3wR++eVxe86558boX8XgDt/8Zuw03H47HHxwcb5XSt8RR8CyZXGP+K23xiH2BQuSjkpEWlH5JvDu3WO0r5qaGP2rGG65BWbMgB//GD73ueJ8p5SPjh3hZz+L0cyqqqL3tq9/XefGRUpU+SZwgDPPjER62WXw8sut+12//z1ccEFcbHT55a37XVLePvWpOMpzySUwcyZ8/OOxk1pfn3RkItKCyjuBm8FNN8Wh7QsuiMfWMH8+jB8Pn/wk3HUX7FHef3Ypgk6dojX+t79Fn+oXXgjV1bBwYdKRiUgLUSbp1w+uuiqGb7znnpb//CeegM9/HgYNgvvvhy5dWv47RBpz6KHw8MNxx8X69XHf+MiR0a+6iKSaEjhE6+Soo2DSJFi9uuU+d9my6CK1b9+4vad795b7bJGmMov7xV94IfrbX7EijgaNHVv8uzBEpMUogQNUVsJvfgNbtkQf06tWFf6Zc+fCiSdG0n74Ydi3vEdLlTagQwf4znfi933llfDoozB0KIwYAfPmqTc3kZRRAs867LAY8WnTJvj0p+HFF5v3Odu2RX/Vo0fDxz4W5xz79GnRUEUKsuee8Rv9xz/gmmtiQJ1Ro2DIkOgUZuPGpCMUkSZQAs81dGi0SrIt8ZUrd+/969bFVeZTpsTtO4sWQf/+rRKqSMG6dYuR8P7+97havX376Kdgv/1ikJ0FC9QqF2nDlMAbOvzwaDVv3x5J/Prrd92r1ZtvwtVXRyv+sceiI41p0+KQpUhbV1UVCXvZMliyJPrnv//+uI+8b9+4NmTBghg9T0TajIISuJmdbGbPm1mtmV2aZ3l7M5uVWb7YzPpnXu9hZo+a2SYzK1IvKrth8ODoW3rAALjoIujdG7773Th3+Pbb0THGyy/Hxu788+MQ+eTJcQhy0SI455ykayCy+8ziVrObboLXXot+1o85BqZPj2Teq1f04T99erTaRSRR5s2899nMKoAXgJFAHbAEmODuz+aUmQgc7u7/YWbjgc+7+xfNrDMwFBgCDHH3SU35zurqaq+pqWlWvM325JNw3XVx/3a+Llc7dIjWy7e/HQlcdmn58OUADF04NOFIpEneey/uorj3XnjwwR09u/XrB8OHR9I/+ujozrVTp0RDTT332M7U18e0q/l8j7talltm+/adX9u+/cOTe+N9ZOyxx85TRUVcFJydqqpiat8+Hjt0iB4Ds1OXLjEsbqdO6e4fY+PGuFh57tyo9223tdhHm9lSd6/Ot6yygM89Fqh191WZL7kTGAM8m1NmDPBfmfnZwA1mZu7+LvCEmR1SwPcXx7HHwh13RKcYs2fHD7pDh/hBduoU99T27Jl0lCKtp1OnuOVs7NjYkD/7bFwr8uijMSzujBlRbo894r7zT3wCBg6MHuAGDowjVPvtFxu2tqi+Ht59N3ZUso8Np82bd0zvvx9T7vyWLTtPW7fG9MEHO89nn9fXx3w2Iecm5nLVuXNcYLnXXjEwT/axe/e4XqNbt5jfe++YevTYMd+1axxBKgZ3WLsWli+PacECePzxWH/dusVgVUVSyH/UgcArOc/rgE82Vsbd681sI9ADWFfA9yajd+84nC5SzsziFNPgwXFu3B3WrImxyWtq4r7yp56C++7buevWPfaIJH7ggbHDm93w7r13tMI6ddoxVVVFSy7bmoP4nmyLMJv8cpNjNpFmE2s26WYT8Lvv5p/eey/e3xwdOuzYmc8+Zqd27eKxY8eoT7t2+afKynisqNjxvLLywy3Z3Oe5f5uGz/M9Nlye+zzbas6dsq1psx2P2SlXtmWeXS8NW/+562fr1tixyd0R2rx5x3rYtCmuNdq0KU5Tvv12tGrXroUNG+Ctt2JdNaaiYufkvvfe8bx790juuVPHjvE7yx4FyK0rxG8o9zfyz3/Gb3zNGqirix3Y3PEFhgyJU6yjRsHxxxd1R7WQb8q3u9PwOEtTynz0l5idB5wH0Ldv3915q4i0NrPYue3dG8aM2fH6Bx/EefIXX4yNXnbj9+qr8MYb8Pzz0TPcW2+1fEyVlTvvEHTqFK27zp2jhZSdz30993nuY+6GPjtlk3WxWnwStm6NZL5hQ/x21q+PC4izj9lpw4ZIuitXxrJ33in8bop27eCAA2IHdNQoOPLImI44InYKElJIAq8Dcm9w7g282kiZOjOrBLoC63fnS9x9KjAV4hx4s6MVkeJp1y4Onw8c+NHltm3b0VLOtoizh5azrTnYuVVYUbHj3Gq7dvGYm1jb6qF6KUxVVVxI2avX7r3PfeeWfe7Rmc2bdz7Pv317/JZyd+T23TeOGrXBc/SF/NKXAAPM7CBgDTAe+PcGZeYAZwF/AcYBj3hzr5oTkdJTURGH0DVGgLQWszi3vuee0YIuIc1O4Jlz2pOA+UAFMN3dnzGzK4Aad58DTANmmlkt0fIen32/ma0G9gKqzGws8G+5V7CLiIhI4wo61uTu84B5DV67PGf+feALjby3fyHfLSIiUs7a3kF9ERER2SUlcBERkRRSAhcREUkhJXAREZEUUgIXERFJISVwERGRFFICFxERSSElcBERkRRSAhcREUkhJXAREZEUUgIXERFJISVwERGRFFICFxERSSElcBERkRRSAhcREUkhJXAREZEUKjiBm9nJZva8mdWa2aV5lrc3s1mZ5YvNrH/OssmZ1583s5MKjUVERKRcFJTAzawCuBE4BRgETDCzQQ2KfQPY4O6HANcC12TeOwgYDwwGTgZuynyeiIiI7EKhLfBjgVp3X+XuW4E7gTENyowBZmTmZwMjzMwyr9/p7lvc/e9AbebzREREZBcKTeAHAq/kPK/LvJa3jLvXAxuBHk18r4iIiORRWeD7Lc9r3sQyTXkvZnYecB5A3759dzc+aYO6HNkl6RBERFKv0AReB/TJed4beLWRMnVmVgl0BdY38b24+1RgKkB1dfWHErykz4DrBiQdgohI6hV6CH0JMMDMDjKzKuKitDkNyswBzsrMjwMecXfPvD4+c5X6QcAA4MkC4xERESkLBbXA3b3ezCYB84EKYLq7P2NmVwA17j4HmAbMNLNaouU9PvPeZ8zsLuBZoB64wN23FRKPiIhIubBoDKdDdXW119TUJB2GiIhIUZjZUnevzrdMPbGJiIikUKpa4Gb2BvCPFvzInsC6Fvy8tkr1LC2qZ2lRPUtLS9ezn7vvk29BqhJ4SzOzmsYOTZQS1bO0qJ6lRfUsLcWspw6hi4iIpJASuIiISAqVewKfmnQARaJ6lhbVs7SonqWlaPUs63PgIiIiaVXuLXAREZFUKosEbmYnm9nzZlZrZpfmWf41M3vDzFZkpnOSiLMQZjbdzF43s6cbWW5m9svM3+BvZnZUsWNsCU2o53Az25izLi8vdowtwcz6mNmjZrbSzJ4xs2/nKZP6ddrEeqZ+nZpZBzN70sz+mqnnf+cp097MZmXW52Iz61/8SAvTxHqmfnubZWYVZrbczObmWdb669PdS3oiunh9CTgYqAL+CgxqUOZrwA1Jx1pgPT8NHAU83cjyzwEPEKPAHQcsTjrmVqrncGBu0nG2QD33B47KzO8JvJDnd5v6ddrEeqZ+nWbWUZfMfDtgMXBcgzITgZsz8+OBWUnH3Ur1TP32NqcuFwN35Pt9FmN9lkML/Fig1t1XuftW4E5gTMIxtTh3f4zoa74xY4D/8fC/QDcz27840bWcJtSzJLj7a+6+LDP/DrASOLBBsdSv0ybWM/Uy62hT5mm7zNTwAqQxwIzM/GxghJnlG3a5zWpiPUuCmfUGRgG3NVKk1ddnOSTwA4FXcp7XkX8DcUbmMORsM+uTZ3naNfXvUAqOzxzCe8DMBicdTKEyh96GEq2ZXCW1Tj+inlAC6zRzuHUF8DrwsLs3uj7dvR7YCPQobpSFa0I9oTS2t9cB3we2N7K81ddnOSTwfHs8DfcI/wj0d/fDgT+xY6+plDTl71AKlhFdDx4B/Ar4Q8LxFMTMugD3ABe5+9sNF+d5SyrX6S7qWRLr1N23ufuRQG/gWDMb0qBISazPJtQz9dtbMzsVeN3dl35UsTyvtej6LIcEXgfk7uH1Bl7NLeDub7r7lszTW4GjixRbMe3y71AK3P3t7CE8d58HtDOzngmH1Sxm1o5Iare7++/zFCmJdbqrepbSOgVw97eAhcDJDRb9//o0s0qgKyk+XdRYPUtkezsMOM3MVhOnZU80s982KNPq67McEvgSYICZHWRmVcTFBHNyCzQ4b3gacR6u1MwBvpq5cvk4YKO7v5Z0UC3NzPbLnmcys2OJ3/ibyUa1+zJ1mAasdPdfNFIs9eu0KfUshXVqZvuYWbfMfEfgs8BzDYrNAc7KzI8DHvHMFVBp0ZR6lsL21t0nu3tvd+9P5JRH3P3LDYq1+vqsbMkPa4vcvd7MJgHziSvSp7v7M2Z2BVDj7nOAb5nZaUA9sYf0tcQCbiYz+x1xtW5PM6sDfkxcQIK73wzMI65argXeA85OJtLCNKGe44Bvmlk9sBkYn7aNYMYw4CvAU5nziQD/CfSFklqnTalnKazT/YEZZlZB7IDc5e5zG2yHpgEzzayW2A6NTy7cZmtKPVO/vW1MsdenemITERFJoXI4hC4iIlJylMBFRERSSAlcREQkhZTARUREUkgJXEREJIWUwEVERFJICVxERCSFlMBFRERS6P8A4+JptsK50mcAAAAASUVORK5CYII=\n", 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bsFnGx8ORGJwEcCEwJgRZ2xZkTVsgJ0XjW6Slr5c5Cw7m5G/9jEB3F01rP6KkYioABSVlOQ/e/YG6PRClIxijM2PJrHN22iwUe+xMK3ZT5LZT7DECdpHbjts+MQL09jr121fxuXO+w5r/vcPG1SvYuGZlerQ5gOsXH4/D6UZZFA0fL6dieh3hQC8AJyz+Acd99VI6mhtobVhLa+M6IsFA+u/4nyfvp6etCYBIn9En3+5w8v2bH6SgxE/bxnrcReXELU5j4pBIwiwNMab8bO6JbFFNoTD6Rpd4HBR77JR4HJR4HZR47Pictkl5/cYbacQmJq3OYIw1bQHWtgVo7omQy/8Kq5a+AcAuex9AKplEWcZHI6VYIkV7IEp7IEpbIEpHIEZHILZFkbfPaUt3oyn1Oig1b/gTJRedLalUimfv+S0bPvqA3q52DjrxTBYec/Kwx4AP9HSyfsUyHrjue0TDxoxeNoeTK+97iYISP9eceyQdTRso9FcwpXom5dPrmD1/P+YddHT6+NGkpicUpztslKJ0h2J0h+J0hWJbPNTarWqL7lP9S5HbPumL5KURmxBjQGtNc08kndPe2ixe2dSyYQ13X30JtXPms8veB2Cx5mZIx0jcqEtt7YvQ1hultS9Kd0bLeqfNmNpxztSC9MAW/kk6C9RYsFgsHHved3f49zql+cedvyEaDm7RR//33z+bi66/lxO//kNa6tfQ2rCWloa1LHv5HySTCeYddDSpVIqffWk/isoqqaieSUV1HRXVM1m46zz8u9egtSYYS6arRbqCcTpCURq7wny0qS+dBqtFUep1pP9tlHmNUc0kxz42JICLCS2Z0mZ9doA1bQGC0eS2f5RF4UAvd/78Iux2J1/67tVZO24skaK1L0JLb5TW3ggtfdEtusEVmsNK7jq1gHKfk7ICJwVyEx7X3n/tWVrqVw/aR7+/m9/u+x2e3l5rnW5nkYhFWXDEF2htXEfDJ8t5/7Vn0akUR591CUefdTGhvm7uv+ZSys3AXjm9jj2qZ1JcPo1YMmUE9KBZpRKIfSqwO22W9BSgZb7Nw5WOlwaI+UoCuJhwookk69tDrGkLsK49OOrDlm6v+6+9jIaPl1NSUcVx519G9c7G2N+pZJL7rr2MjuZGLrr+njHrDqa1pjMYo7k3wqaeCJt6I3QGYvQXiBa4bEwpdLF7VSEVhS4q8nRih8muv6tYZh/9i66/d8g++kopbA5jbHqHy82J37givS4Ri9G2cT1uXyEAob4ewsFelvz770RDwfR2p116DZ895hTsoSYaX3iCiuqZzKquo3xOLSmrg45AjPagUQXTEYixork3XRSvgGKPPT1LWP+MYR6HhKXhkjpwMSH0N0Jb3Wo0QhvrUdC2pnNTIy8+/CdOWPwDHC4391z9LVKpFOuWLyXQ08mCI77AsV+9lFVLXuOvv/kxp3zr5+x//BmjdvxYIsWm3gjN3WGazYAdNR9inDYLlYUuphS5jNdCuWGK4dNa09fZRkvDWlob1rLL3gdSVlXD8v/8m7t+cTGZ8aRkyjTOvfJmqnfenc5NjXQ0N1BeXQeeUtoDMaNdRZ/RtiKzl4LPaUsH8wpzyacieKkDF2IYesJx1rQFWN0aoLk7MuIZvUZDLBLmrl9cTMemRhad8lXKqmo458qbAQgH+3jhoT/yymN3s+CIE9nnyJNw+wrZ48CjRnTMYDRBU3eYpu4ITT1h2gLRdIM8v8/B7AofU4vcTC1yUezJ3iQMYuJRSlHor6DQX8HsPfdNf7/7/kdw7ZPv0b5xPa2N62jdYAT4AnO61/dfe46n7rgeAKfHS8X0Osqn13HSRT/GW1hFV1cXPXELnZEUrX1GYF/fHkyXErntVioKjWA+xSwlyqegPlZyOZ1oNXAvUAmkgNu11r/d2m8kBy7aA1HWtAZY3RagtTc7g6oMl9aa+6+7nPde/gcXXP3HIafF7O1sG9E81r2ROBu7wmzsDrOxK5xuaGazKCqLXFQVuakqdlFZ5JIGZmJcCPR00rR2FW0Na2lpWEdrw1raN67nh39+FpvDweN/uIbX/34fJVOmGY3optfhr57FrAM/T1tfjJa+CK19UTqDsfTDqcdhTQf0KeOoNGmy5MATwGVa63eVUgXAUqXU81rrFTlMkxhn+kdCW90aYHVrH11jNKvXaHj50TtZ9tLTHPfVy4YM3sB2B+++SJzGrrC5hOg1ixudNgtVxW52n1bEtGI35QXOnM9dLMRgfEWl7Dx/P3YeYqrbzxxwJG5vIW2N62htXMfaD97B5fVx0PGnUVXs4aH/u4L29aspr5lNQe3u2CrqiDvL6I0kWN/Rmd5PgctmVg0ZVUTlBU4ctonbUC5nAVxr3Qw0m+/7lFIrgWmABPBJLpXSbOwOs7rVaDk+cBSv8Sgc7OPFh+9g3sHHcNhpXxvRvkKxBI1dYRo6QzR0hdOtw102C9NK3MyvKWFasZsyn2PSFyGKiWGnPRay0x4L059TqRTBnq7057KqWrpam1mz7A26n/8bsHmK11gixeMP3EnMVQol09kYK+KT1gBgNJQr9TmoNAN6ZZGLUq9jwvRVz315A6CUqgXmA2/nNiUiVxLJFPWdIVa3Gi3Hw7Hx1d1rW9zeAr5z8yP4iku3O6jGkyk2doXZ0BWioTNEe8Don+6wGgF7j+lFVJd4JGCLScNisWwxRe4RZ3ydI874OgCRUIC2xvUk4ub/E5uFtg9eZsOqD9Lzt1vchcw95kzmHH0mLb0RPtrYyYdNRrizWxVTCoxgXmk25vQ6x0Uo3G45b4WulPIBrwDXaK0fG2T9YmAxQE1Nzd719fVZTqEYK9FEknXtQda0BlnfkfvuXjtq/cr3qNllDyzDHDc6pTWtvVE2dIbY0BmiuSdMShuDYEwtclFd6qGmxENFgVPmihZimFKpFN2tTUYjuoa1lE6Zxu77H0E0HOSKE/fCVlKFc+rOOKftiqdmd2z+GWjzgdhtSTG12MV0fyGVRUbR+/aMA585xe6Fi2bR29XBI488wje/+c0Rn9e4nQ9cKWUHngae01r/ZlvbSyO2/BeMmt292vpo6AyTzGF3r9HQuHoFN158Mp+/4HssOuWrQ27XF4mzoTNEfYeRy46YDyvlBU5qSjxUl7qZVuzGJgNbCDHqIsEArY1Gy/jWhnW0Nqxjj4M/R+Wei1hdv5HXX3sF57RdsRVWGD9IJSl1wYwpfqYUOKgsdFLkdQ2679effIDHbrkqPYDOuQfU8rmjjmDFihXccsstIw7i4zKAK6Ms8B6gU2v9neH8RgJ4fuoyxxxfMw7GHB9NWmt+990zaN9YzxV3PZce9AKMKoGmngj1HUHqO0J0mMO2eh1WavweZpR6qS51j4tWs0JMZpFQgLXLl9LWsI6m5mbawymC1gIq5x9GAFc6k5EKduEItVFkjTK1yM2CBQspKvXT19WRHvHOV1SK22Glra2NuXPn8tJLL1FRUTGi9I3XVugHAGcB/1NKvWd+9yOt9T9zmCYxCvpbjvcH7Y7A+BhzfLQtfeEJ1q9YxmmXXoPbV0hPOM76dqM6oLErTCKlsSpFVYmLOVPLmOH34PdKPbYQ44nL42PuwkNgQM8RrTUpDatWr2HZ+/+jO2kn5imnw1tKB7BiWQdTikJYe5tx1uyJrbmRQE8nAaC8vHxUgve25LIV+usYjQTFBJBIpmjoCrPWHL40H1qOj0QkGOCpO2+k5oCTiNQdzL1vrk93cSty25lbVcgMv4fqEo+M9zxOWS0Km1Vht1iwWBRWBVarBatSWBRGS2XzdbAblcZoz4A2XlMaklqTSmmS5pJIaZKpFImUnjAlT5OFUsa/ibk778TcnXdKf98TirC6vok+5aE1EGejLiY17wuklj4PsUh205jrRmzbQ4rQx5dIPMnatiBr2wPUd4TythHa9ghEE6xvD7JyQwsbe6IouwurRTG92M0Mv4faMi/FbhntLBscNgsehxWPw4rLbsVps+J2WHHaLOZixWm34LAan+1WCw7z1WZRWW8gGE+mSCQ1sWSKRDJFLJkiljCWaHpJGq/xJJF4ikg8SSSeJBw31uXR7XrS6O5s49bLz6ajcS12bzE2qyLc2zXhi9BFHuoMxljXHmBNW3DcDF86lrTWtPRFWdceZH17kNY+o5uKz2nnMzWF1JX7qC6VXPZoctotFDht+Fw2fE47PqcNr9OK12nD57Thdljx2K151+DPbrVgt4KbHRulK5XShONJY4klCcYSBKOZ740lEDWCvsiO5a//i47GtYM2YhutluhDkQAutqp/UJW17UHWtQXG9UhooyWWSNHQFWJde5B17UFCsSQKqCxysbC6gNZ3n+XYk87A7nTmOql5yWm3UOx2UOS2U+S2U+i2UeCyU+gyXifyyFkjYbEovE7bsPosJ5IpAtEEfZEEgWjCfB+nN2y+RhKTosQsGwbOAldRUcFLL7005sEbJICLQQSjCdZ3GMFrshSN90XirGsPsrbdaICWTGkcNgu1pR7qyrzMKPPisll44LrLee+VZ5g/fy9qdtkj18ketxw2C8UeO6UeB8UeB8UeOyXmq0xVOvZsVov5d3cMuU0knqQ3HKcnHKc3Yrz2hON0h+L0RRJ538UzmwZO11pRUTHmwRskgAuMYuLmngjrO4Ksbw/R2jdxunoNRWtNa1/ULFkI0hYwisaL3Hb2mFZEXZmXqmL3FmOLv/P833n3paf53DnfluBtctot+L0O/F4npT4Hfq+DEq+DApkpatxz2Y22AxWFn+7fnEpp+iIJusMxukJxukMxukNxOoMxeiPxCX9/yBeTNoB/8p1PAJh90+wcpyQ3AtFEuo/yhs5Q3g1duiPSLeXbjZbywahRND61yMUBO/mZWeajZIjpNlsb1/G33/2CWXss5PDTv579xOeYRSlKvHbKfU7KCpyU+Zz4fQ4KXfZcJ02MAYtFUeSxU+SxM8O/5bpEMkV3OE5XMEZn/xKK0RWMEU9KZM+mSRvAA+8Fcp2ErIonUzR1h6nvCFHfGaK9b3xNxTlWwrEk6zqCrG0LsKEzRDypsVsVM0q9zCz3Uuv34nZsu0j3H3f+BpvdwVd+cAMW68QuArZZFH6fkymFTioKjGEl/T6HNNQTgFE8X+YzHuIyaa3pCcfpCMboCMToCERpDxqBXYrjx8akDeATXf9gKg1dITZ0hGjqNgYWmQy6QzHWtgVZ0x6guTuCBnxOG7tWFjKz3Mv0EvewxzlOJZNYrFYOO/UCFh55EsXllWOb+CyzKIXfnK2pf05lv0+mJRXbTymVrneflTFjbjKl6QrFaA9Eae+L0RaI0N4XIxCd2GNFZIME8AlCa017IEZjlzEFZWNXiGh84jc+A+PcN/VGjD7pbUE6Q8bIb2U+B/vUljKz3EtFgXO76mSDvV08dusv8fgKOfmSnzFjzryxSn5WFbhsVBa5mFrkorLITUWBU3LWYkxZLWpzjj3j+TcUS9DWF6W1L0prb5S2vgjdYalf3x4SwPOU1pq2QJSNXWEau8Js7A5Pinrsfpkjv63t7+qlYFqxm89ML2dmmZdC9/bVz/7r/lt57Yn7cDjdhIN9xCJhjvrKRWit87JBltWiKC9wMrXIRVWxm6lFLgqkzlqMEx6HjRl+GzP83vR30USS1t4orX0RWnujbOqN0D0Juq7uKAngeSKeTNHSG6G5J8LGrjBNPeFJkcOOhAI8c/dNFJdPZf7RX6IpqLeoz3ZYLczwe9L12dvTRSmVSvHUHdez07zPstu+h1I1a1fmHXQM8WgElOLgk85h2qxdx/DsRpfDZqGq2EVVkZuqYjeVRS7JXYu84rRZqS71UF3qSX8XiSdp6Y3QYgb0TT1hgtHJk1nZGgng41RPOM6mngibeiM0dYdp64tOyoYgrV19fNSVwuIu4f23m1AWC16HhV0rC5lV7uWjZ+/lfw89yzpfIZ//2veG3b0rFo3w4K++zwevP4fVZme3fQ9l9/0OZ/f9Dh/jMxo9LruVaSXGNKTTS9yU+2T+cDHxuOxWZvi9W+TUe8LxdIamuTtM6yS9P0oAHwdCsQQtvVHzKTPCpp4IoUlUHJ6pv/HdO8tX0W0pojMUx7PvGRTYkoQ+fpPG1x6hosDJITc/jNVq49kPl+Dy+NNV/zMAACAASURBVGhtWMtNl5zKwqO/yLHnXUphafmQxwj2dnPnzy5k/YplnPj1Kzjk5HOzd4Ij0B+wp5dsDtj5WLQvxEj1j+K385QCwKhSa+2L0twTZmO3EdQnwz00pwFcKXUncDzQqrXePZdpyQatNb3hBG2BCK19UdrMZaLP3LUtg9Vn65STIjo5eJc6Zpb7KHLb4ZBdWbf/Z3jpkTtJxKJY3TYuuPqPWK02IsEAzz/4e159/F7mHfy5IQN4ONjHrZedSXtTPWf9+Eb2PPhzWT7b4XPYLEwrdlNd6qa6xEP5djbEE2KysFktVBUbVUd7zzC+6wrG2NhttA/a2BWmJzzx6tJznQO/G7gFuDfH6Rh1vZE43cE47cFouk9kRzA2KYYlHY5QLMH69lB6JrNEyuifbWlfS/vrf2PenJ046fzvYLVt2eiqbre9qdtt7/Rnq9X4J+zy+vj8177PQSedQ3HZFADef+05Zu6+gIKSzSNRuDw+dt3nIOYs/Amz99w3C2c6fFaLorLIRY1ZBzi10CVF4kLsoBJzVMDdpxUBxuBVG80eOo1dYTqDsRyncORyGsC11q8qpWpzmYaRCMeSdIeNIQa7Q3F6wjE6g3G6QhKoB9Ja0xUyxxtvC9Dcs7l/9pyphdT5Pbx9/6/47zMPc/RZl3D0WRfv0HH6g3ewt5uHfv1DnG4vX/nBDRSUlKEsFqbUzOKExT8YxTMbGb/PQU2phxl+L9OK3TKRhxBjxOe0sUtlAbtUGsXuwWiCRjOgN3SG8nKipiEDuFLqPq31WUqpb2utf5vNRI0HsUSKUGzL2XwCkQS9kTi9YZnNZzhSKU1TTzg93ni3WYRV7nOysK6UmWXedLFw07pVvPvCExx15jd3OHhn8hYWc8mNf+Hea77LbT88D4fbw5TqWXz75odzWgztdljNgO2hptQj3bqEyBHvgIDeF4nT0BlmQ6cR0PNhoBmlh+g1r5RaAXwOeBJYBGxx19Nad45KAowc+NND1YErpRYDiwFqamr2rq+vH43DsmzRMkKxJKl7ZhCOGXPsRuJJY37deFKC8w6KxJPUd2wuGo8mUliVYnqpm5llXurKvFsErcw+1m0b6ymrqhnVABsNh3jitmvZsOoDzv3p7yirqhm1fQ+HRSmmFrmY4fdQW7b9A8oIIXKjIxBlQ6cxV0RjV3jYMeHCRbNGdcY9pdRSrfWCwdZtrQj9NuBZYCawlC0DuDa/H3Na69uB2wEWLFgwqv0EgtEEH67vGs1dTjpaa7pDm6fibOoJozW47VZmlnuZWeajptSDw2bh9ScfgIOOAZdRJ93R3MCdP7+IQ754LguPPpnyaTNGPX1Ot4cvfffqUd/v1hS4jMEpav1GXbZMnylE/vH7jGGF59eUkExpmrqN3Pn6jiBtfdFxMWLckAFca30zcLNS6g9a6wuzmCYxziVSKTZ2hVnfEWJdezDdurPM52DBjBLqyrxMKXRhychpvv7kAzx2y1W88dSDXHT9vfS0t3Dzd04jEY+x8p3XWHj0ybk6nRGzWoxcdl2Zl9oy76cmeRBC5DerRaUHmDlgpzKC0QTrzdkc6ztCROK56bK2zUZsYxm8lVJ/wSieL1NKNQI/01r/eayOJ3ZcwPwHu749mB4FzWpRTC9xM7+6mLptDF0676BjeOOpB2mpX8115x9DJNiH1priiql88ZtXZvFMRofPaaO2zEtdmfGf2mmTXLYQk4XXaWO3qiJ2qyoildI090ZY3x5kXXuQbNaQ5boV+hm5PL4YWiplTBBiBO0QbQFj+lGf08YuUwqoK/NSXeoZ9lCdBSV+Lrr+Xn51wbGE+roB8BQU8d3f/W2Lbl7jlVLGvOG1fi915V4qCly5TpIQYhywWBTTio0REQ/YqSyrx851P3AxjgSjCeo7Q9S3B6nvNBqgKQVTC13sP8tPXZkXv9cxokZYloxpPC2W8Z1rNYZw9BhF48OcN1wIIbJFAvgklkxpNvUYuez6zhBtfUYu2+OwMqvcR63Z1ck5Co2w1q1YxgPXXU6gpxNfUSkAgZ5Ofv/9s7no+nvHTS7c73NQZ7aWrypyy0AqQohxSwL4JNMdilHfGWJDh9k1ImnksquK3Ow/y0+t30uZb2S57IF6Olr405VfJ9zXw5SaWVx0w30A/P77Z9NSv5r3X3uWA0/4yqgdb3v01+PXlRkt5os80i9bCJEfJIBPcNFEMj04wYbOULrFeKHLxs6VPmaUeqkudY9ZI6yO5gb+/LOLSCXiHHrq+Sw65fx0bvui6+/NSfD2OKxGwC73UlPqldHPhBB5SQL4BJNIpdjUE0kH7ZZeY8hSu1UxvcTDntXFzPB7KHbbx3RAEa01f/3Nj3jn+b9jszs4/6rb2Hn+fltsU1Diz1rwLi9wGgPJlHupLHTJYCpCiLwnATzPpbSmrS9KY1eYhs4QG7vDJFIapaCy0MU+taXUlHqoLHJhHYP63EgwwNoPlxIO9BIJ9BIOBjjoC2fhdHtweQo45Ivnsujk8yj0V4z6sbfGZvbbnFn+6dHfhBBiIpAAnme01nQEY+lB+Bu7wkTNIf5KvQ52qyqkutTD9JKxKxbv9/GyN7n/2ssIdHds8f1ehx6H0+3hCxf+aEyPP5DXaaWuzEddmZcZ/uF3cRNCiHwkAXyc6w/YxjR4xty2YXPUn0KXjVnlvvR80V5ndi5nMpnAarXhr5xO5YydOPwHN1BcXonbV4jLW4Ddkb2RyCoKnekGaFMKZZxxIcTkIQF8nEmlNG2BKBu7wzSZk9FH4kYO2xhj28hdV5d4tjry2VhIxGI89afr6dzUyPlX3YZ/ajUX3ZDdqdztVqNovG6QiVGEEGIykQCeY/FkipbeCE3dEZq6wzT3RIgljYBd5LZTV+ZlerERtEcasKPhIH/73VW0NqwlFo1w0kU/Zvae+9LV2sSqpW+wx4FH4SkoGvS3Xa1N3HP1t9mw6gMOPPHMdC48G3xOW7rV+PaM/iaEEBOZBPBheP3JB5h30DHp7k99XR073P0pEEnQ3BOmqSdCc0+Ytr4oKXNWG7/PwS6VBelh+Xyu0bs8iViMu35+Mavff5vZ8/ejqLwSh9MNwPL/vMDjv/8lf/vdL9h1n4OYs88hTNtpLtWzd8NitbLynVd54LrvkUzGOefKm5l30NGjlq7BKAVTCl1m0biXikIZtlQIIQaSAL4NA2fRgs0DkABbDeKJZIq2QJTmngibeiJs6o3QFzEmibdZFFMKXexVU0JVsZupRa4xnXbyyTuu5+Nl/+GMy69jn6NO2mLdgSeeSe3cPXn3pX/w3iv/5MM3X8RitXHdE8tIJOI8fONPKCqfwrlX3kz5tNoxSZ/DZqEmo2g8W/X5QgiRr5QeD5OaDtOCBQv0kiVLRmVfyxYto60vyofXlW51u76ujnTAzhwCdMqMnbYYAjSZTLKuvoGIo5C2QIJNvRHaA5tz1wUuG1MLXVQWuZha7Kbc5xyTbl1D6W7bxCfL3vxU8B5Ia01Xy0baNtazy94HALBp/SeUVk7H4XKPapqKPfZ0A7RpJe6s/j2EECIfKKWWaq0XDLZOsjlbkUqlCHR3sPehn+e5B24h0NMJgK+olK/84k/8b/0mGv67krZggri7FIvDDXRgtxq56/k1JUwtclFZ6MpJjrKvq4OP332D+YuOo7i8cpvBG0ApRWnldEorp6e/q6ydPSrpsVoUVcXudC671OsYlf0KIcRklNMArpQ6BvgtYAX+pLW+LpvHb1z3CVefdQXJeIxkIk4ymaR69m5ceP09ANx6+ZmsW/EetuKppPTmhlPheJKHlzRi9RajKSEZbcAXXYvfY+XgRYdRVuihp20TxeX+rHZrikUjvPviU6z93xLWr1hGe1M9APFYlH0/d2rW0pHJ67RS69/cAE3mzRZCiNGRswCulLICtwJHAo3AO0qpJ7XWK7KVBqfLw6zd9sFmd2C129F2N84pM1m2oYv2QAzHUZdRfUiCTQ/9BJ2IYvEUYVGKRLCbvr/9hIO/fDFz5sxlSvXRWwTqcKCX3377S0ybNYdDTj4Pt7cAt6+QwtJyHC43iXiMYG8XyXgcX0kZDufoNNJqa1zPI7/9Kd7CEmrnzmffY0+lbre9qJ2716jsfzj6R4CrNRuglRdI32whhBgLucyBLwRWa63XAiilHgJOBLISwCPxJK6SKUz7wuV0BKN0BGKEYsYAKWs/acfjsFIxpZLepU/T0LGBsupZfPOGe7Eola4Tt0d7qayZ9al9u7wFHHHGN3jy9l+x8r+vpL/vb0C2fuV7/P7yswDwFfs5YfH32fvwEz8V6NqbNlD/0fu4PD5mfmYBbm8BsUiYeCyK0+3BZnfQ3rSBlf99hYO+cBbTZu3KD+74B+XT67IaNN0OK7V+DzP8Mm+2EEJkS84asSmlTgGO0VpfYH4+C/is1vriAdstBhYD1NTU7F1fXz8qx39q3n/Y2BXm12dGKfU6KPM58XsdlBUYr5l11jvajayno4W2jfVEgn2EA33U7bYXZVU19Ha0svzNF7FYrbz97KPUr3yPWXss5Pxf/AGnx8vHS9/gtSfuZ+V/X6b/+lz2h78zbdYc3njyAf52y1UAWKw2tE7hdHm44q5/ZW1O7f5uXrV+L7VlHpkcRAghxsjWGrHlMoCfChw9IIAv1FpfMtRvRrMV+tsHLqU9EGXV9dmtpx4olUrx9jOPsPr9tznziv+jed0qfv2NE/EV+9n/+NPZ48CjSMRjVM6YjcPlpmntR6x+/21ikTDRcAiL1cr+x59OkX/KmKbT47Ayw8xlz/B78Dik/aMQQoy18doKvRGozvg8HWjK1sEdNgt2qyXnOUeLxcJ+x53GfsedBkDVzF254Oo/svP8/bE5Pt1Ku2rmrlTN3HXs06UUlUXOdLG4jDMuhBDjSy4D+DvAbKVUHbAROB34cg7TM27M/eyinBy3wGWjptRDbZmXmlLPmA4sI4QQYmRyFsC11gml1MXAcxjdyO7UWn+Yq/RMRjaLYlqJO100XubL3ixiQgghRianFZla638C/8xlGiYbv89h1GOXephW4paJQYQQIk9JS6QJzu2wUlPqoabUwwy/R6bfFEKICUIC+ARjtSimFrnSrcUrZCAVIYSYkCSATwB+n8PMYXuZVuzGYZNicSGEmOgkgOchr9MoFq82i8alWFwIISYfCeB5wG41WosbddleynwOKRYXQohJTgL4OKQUVBS40g3Ppha5sElrcSGEEBkkgI8TRW57OmBXyyAqQgghtkECeI64HVaqSzzpLl5FHqnHFkIIMXwSwLPEblVUFbvTAVvmyRZCCDESEsDHSGY9dk2ph6piqccWQggxeiSAj6Jijz0dsKUeWwghxFiSAD4C/fXY/Q3PitxSjy2EECI7JIBvB5vFqMee4Zd6bCGEELmVkwCulDoV+DkwB1iotV6Si3Rsi9RjCyGEGK9ylQNfDnwR+GOOjj+kQredGaUeavweqks8uB1Sjy2EEGL8yUkA11qvBMZF8bPTbkn3x57h91DsceQ6SUIIIcQ2Teo68BKvg28cPAuLJfcPEkIIIcT2GLMArpT6N1A5yKofa62f2I79LAYWA9TU1IxS6gw2i5LgLYQQIi+NWQDXWh8xSvu5HbgdYMGCBXo09imEEELkO2lSLYQQQuShnARwpdRJSqlGYD/gH0qp53KRDiGEECJf5aoV+uPA47k4thBCCDERSBG6EEIIkYckgAshhBB5SAK4EEIIkYckgAshhBB5SAK4EEIIkYckgAshhBB5aNKOhe7b05frJAghhBA7bNIG8Nk3zc51EoQQQogdJkXoQgghRB6SAC6EEELkIQngQgghRB6SAC6EEELkIaV1/kyxrZRqA+pHcZdlQPso7m+8kvOcWOQ8JxY5z4lltM9zhta6fLAVeRXAR5tSaonWekGu0zHW5DwnFjnPiUXOc2LJ5nlKEboQQgiRhySACyGEEHlosgfw23OdgCyR85xY5DwnFjnPiSVr5zmp68CFEEKIfDXZc+BCCCFEXpoUAVwpdYxSapVSarVS6oeDrD9XKdWmlHrPXC7IRTpHQil1p1KqVSm1fIj1Sil1s/k3+EAptVe20zgahnGei5RSPRnX8qfZTuNoUEpVK6VeUkqtVEp9qJT69iDb5P01HeZ55v01VUq5lFL/VUq9b57nLwbZxqmU+qt5Pd9WStVmP6UjM8zzzPv7bT+llFUptUwp9fQg68b+emqtJ/QCWIE1wEzAAbwPzB2wzbnALblO6wjP82BgL2D5EOuPBZ4BFLAv8Hau0zxG57kIeDrX6RyF85wK7GW+LwCagTe2dU2B24Art7LfHwF/GqM0/xKj/+umEZznx4P8/9zqNd3WOY+HxbxGPvO93bxW+w7Y5iLgNvP96cBfc53uMTrPvL/fZpzLpcCDg/37zMb1nAw58IXAaq31Wq11DHgIODHHaRp1WutXgc6tbHIicK82vAUUK6WmZid1o2cY55lzSqmXlVJdSinnju5Da92stX7XfN8H/Bf4+YDNPnVNgV9ora8207FIKdU4YL//T2s96jkepVQ1cBlG8K0c7u8GOc+VwLStHOdcpdTrA/bxjf5zHq/MaxQwP9rNZWADpBOBe8z3jwKHK6VUlpI4KoZ5nhOCUmo6cBzwpyE2GfPrORkC+DSgIeNzI4PfIE42iyEfNW9GE81w/w4TwX5mEd4zSqndsnlgs5jsIIyb1gmjuM/5GLmZTOPpms4AOrTWrTu6g62cJ5jXFCPH49nRY+SSWdz6HtAKPK+1HvJ6aq0TQA/gz24qR24Y5wkT4357E/B9IDXE+jG/npMhgA/2xDPwifApoFZrvQfwbzY/NU0kw/k7TATvYgw9OA/4HfD3LB//bOAt4G7gnMwVSim/UupJpVSvWU94dX9uUilVq5TSSilbxvYvK6W+CfwNeAL4p/m9UkrdCBwJPGveCHc3f/YzpdQvlVJejOL1KqVUwFyqlFI/V0rdn3GME8y6ym7zeHMy1q1XSl1u7r/HrM9zDTxhpdQRwPMZx7p7sNy/ub8jzPc/V0o9rJS6VynVp5Raaab3O1rrXrNu/DFlDJ/8GEYO5nRgV2C+eZxuc193K6V+mXGcr5n1jp3m37sqY51WSn1DKfWJWUpya7ZyuVrrpNZ6T2A6sDDjmqWTN9jPxj5lo2sY55n391ul1PFAq9Z66dY2G+S7Ub2ekyGANwKZT3jTgabMDbTWHVrrqPnxDmDvLKUtm7b5d5gItNa9/UV4Wut/AnalVFkWk3A28IC5HK2UmpKx7lYgglHv+1Vz2RoFXGjuK/NGcRRGW4AHga8BpwEdGNc0BKC1DgKfA5q01j5z2eJ6K6V2Bv4CfAcox3hAeEop5cjY7EvAMUAdsAdG/eUWtNb/HnCsT20zhBMwqrTKACfg1lo/ppSyAk9jzHtQC1QB92mtVwKLgShGACgeuEOl1GHAtWa6p5r7eGjAZscD+wDzzO2OHmZ6R4XWuht4GePvmin9f9R8kCtinFcXbc1Q5zlB7rcHACcopdZj/Ps6LPPB2DTm13MyBPB3gNlKqTrzxnQ68GTmBgPqgk/AqIebaJ4EzjZzb/sCPVrr5lwnarQppSr7c1RKqYUY/8Y7snTsAzGKkh82n8zXAF8211mBk4Gfaq2DWuvlbCXnYZ7DLkCz1vo3A1bHMRp8/Q/jgeEj87g9QHg7knwa8A+t9fNa6zjwa8AN7J+xzc1a6yatdSdGzmnP7dj/tryOkeu+w3zf/7CzECNof898ECkG3jDX1ZmvQ13TrwB3aq3fNYPEFRjF77UZ21ynte7WWm8AXmJ0z2lQSqlypVSx+d4NHIFx3TI9yeZSm1OAF7XZAipfDOc8J8L9Vmt9hdZ6uta6FiOmvKi1PnPAZmN+PW3b3iS/aa0TSqmLgecwWqTfqbX+UCl1FbBEa/0k8C2l1AlAAuMJ6dycJXgHKaX+gtFat8wsuvwZRgMStNa3YeSujgVWY+TSzstNSkdmGOd5CnChUiqBEcxOz+JN8BzgX1rr/pmIHjS/uxEjh2tjyzrrrc2sdwBGQIub9YmlQJ9S6hvm+lvMfc/FCNwN5ueLtyO9VZlp0FqnlFINbFmPvinjfcj8zWjZhHGeZ2Hc5F3muT5jHusCjBbmmdfUB6zayjWtwqhGAUBrHVBKdWCc0/qM4/YLmfsca1OBe8wHOQvGQ97TA+5DfwbuU0qtxrgPnZ6FdI224Zxn3t9vh5Lt6znhAziki1L/OeC7n2a8vwLjST1vaa3P2MZ6DXwzS8kZM8M4z1swgltWmbmNLwFWpVR/gHBitPafByzHuGFVszlHUpOxi6D56gF6tdavK6VWAb/WWv9JKXUucIH5kNLvZqVUBfAw8JrWesmA6txtPbg0AZ/JOAdlpm/jcM55G4JkNDYzb+ifmhJRa/26eehaYB2wAKN4+3zM1r2Z11QpdQ5GtcFQmjBKI/qP68VoODQa57TDtNYfYDTQG/h95n0oApyazXSNtmGeZ97fbzNprV/GqCrI+vWcDEXoQmTDF4AkRo54T3OZA7wGnK21TmI0xvq5UsqjlJpLRiM3rXUbRpA5UxmteL8KzBrsQEqpfZRSn1VK2TECZcQ89kAtgF8pVTREmh8GjlNKHW7u6zKM+uX/bOe5D+ZjjBz1cea+f4LxQDMc/8Xo936dUsqrjMFBDjDXtQDTB9TTZ3oQOE8ptacyuvH9P4wxD9bv8JkIMU5JABdidJwD3KW13qC13tS/YOQcv2I2YrkYo7h2E0Yr9bsG7ONrwPcw6nd3Y+hAWohRb9yFUQTegVF/vQWt9UcYjdTWKqOVedWA9auAMzFa67cDnwc+r43xEkZEa92DMZDFnzAeTIIYjXqG89ukmZadgA3m704zV78IfAhsUkq1D/LbF4ArMVruN2M8BOVjUbQQ2ySTmQiRIxnF4gfmOi1CiPwjOXAhhBAiD0kAF0IIIfKQFKELIYQQeUhy4EIIIUQekgAuhBiS2WXtA7Mrl1cZ46YPHNtaCJEDeVWEXlZWpmtra3OdDCGEECIrli5d2q61/tQgSJBnI7HV1tayZMmSXCdDCCGEyAql1JBDLo+oCF0pdYxSapU5dd8PB1l/qVJqhVkE94JSKnOIw6RS6j1zeXLgb4UQQggxtB3OgZtjG9+KMSdxI/COUupJrfWKjM2WAQu01iGl1IXA9WweUSlszhkrhBBCiO00khz4QmC11nqtOfTiQ8CJmRtorV/SWofMj29hzFc8foRC295GCCGEGIdGEsCnseXUiI1sOQ3hQOdjTBPYz6WUWqKUeksp9YURpGOHfHLII3wy/TponnBTYgshhJgERhLA1SDfDdqkXSl1JsY0gTdkfF2jtV4AfBm4SSk11MxLi81Av6StrW0Eyd1SoLecQE85LFoEG3M606AQQgix3UYSwBsx5g7uNx1jLt4tKKWOAH4MnKC1jvZ/r7VuMl/XYsyl+qk5ZM31t2utF2itF5SXD9qSfscUFcEee0BTkxHEG4c1UZIQQggxLowkgL8DzFZK1Zlz854ObNGaXCk1H/gjRvBuzfi+xJyrF6VUGXAAkNn4LTuKCuFf/4KWFiOINzRs8ydCCCHEeLDDAVxrncCY3/g5YCXwsNb6Q6XUVUqpE8zNbsCY//iRAd3F5gBLlFLvAy8B1w1ovZ49++0Hzz8P7e1wyCHwySc5SYYQQgixPUY0kIvW+p/APwd899OM90cM8bv/AJ8ZybFH1Wc/C//+N3zuc7D//vDUU7DvvrlOlRBCCDEkGQu934IF8OabRt34oYfC3/+e6xQJIYQQQ5IAnmmnnYwgPm8efPGLcMstuU6REEIIMSgJ4AOVl8OLL8LnPw+XXAJf/zpEo9v+nRBCCJFFEsAH4/HAY4/BD38It98OBx0kLdSFEEIMTWu44w646qqsHVIC+FCsVrj2WiOQf/QR7LUXvPBCrlMlhBBivFm9Gg4/HBYvhtdeg2QyK4eVAL4tJ50E77wDFRVw1FHwk59ALJbrVAkhhMi1RAL+7/+MQcGWLjVKbP/1LyMDmAUSwIdjl13g7bfh7LPhmmuMbmfLl+c6VUIIIXLl1Vdh4UK4/HI44ghYsQK+9jVQg40yPjYkgA+Xzwd33WV0L9u4EfbeG37966wVlQghhBgH1q6FU04xBv5qa4OHHoInnoBpW5vLa2xIAN9eJ55o5L6PPRa+9z0jN/7227lOlRBCiLHU2mrktufMgWeeMRqrrVoFp52W1Vx3JgngO6Kiwmjc9pe/GJOh7LuvUXTS3p7rlAkhhBhNzc1w6aVQWws33ghnnGEMuX3llUaPpRySAL6jlILTTzeewC6/HO6+G3be2bjA4XCuUyeEEGIkPvoIvvlNqKuDm2+GU0816rnvvhuqqnKdOkAC+MgVFMANN8D77xvDsV56KcyeDX/4g7RWF0KIfJJMGvXZRx5pFJXfcQd85StGRu2ee4wGzeOIBPDRMneu0X3gpZeMopaLLjIu9m23QSiU69QJIYQYyooV8OMfw8yZ8IUvwMqV8MtfGgN4/fnPMGtWrlM4qBEFcKXUMUqpVUqp1UqpHw6y/lKl1Aql1AdKqReUUjMy1p2jlPrEXM4ZSTrGlUWLjI78zzxjDMt64YVQXQ0/+pHRel0IIUTurVlj9OHeay/YbTe47joj1/3oo7B+vRHQp0zJdSq3Smmtd+yHSlmBj4EjgUbgHeCMzHm9lVKHAm9rrUNKqQuBRVrr05RSpcASYAGggaXA3lrrrq0dc8GCBXrJkiU7lN6Bli1aBsD8l+ePyv4GpTW8/jrcdJPR/cxiMZ7uzjkHjj4a7PaxO7bYulQKgkHo7TWWvj7jc+YSDhtLJGK8RqNGtUj/azxuDOTQvySTxn77l8FYLMailDHYQ/9isxmL3b55cTg+vTidxuJybX7NXNzuT7+63fJvTYhoFN56C55+2lg++sj4fp99jGLy006DysrcpnEQSqmlWusFErJ0gQAAEVlJREFUg60byXzgC4HVWuu15kEeAk4E0gFca/1SxvZvAWea748Gntdad5q/fR44BvjLCNIz/ihljKN+0EGwbp0xu9l99xlPeOXl8OUvGy0a99nHuKmL7ZdMQmen0R+zvX3z0tFhfJ+5dHcbS0+PEbS35+HVajUCYn8Q7Q+w/YG3PwhnBuiBXUu0Npb+AJ9MbrnE41su/Q8JozGZjtW6OZh7PJvfD1y2ti7zwWDg+8yHicwHDZstZ11sxCQXCMCSJfDKK8by5pvGw7jdbpSUXnghHH+8UWyep0YSwKcBmTN8NAKf3cr25wPPbOW32e8Fn011dUZxzXXXwXPPGQ0i/vAH+O1vjae+4483ZkA74oicd03IOa2NANzcbCybNm1eWlqM19ZWY2lvHzq363aD3w+lpVBcbFyD4mJjKSw05n4vKNi8+Hzg9W5ePJ7Ngco2kv8qI6S1EeCj0c1LJGIsmZ8zSwsGlh6Ew0ZbjMx1/Z9DIePvnbmufxnpQEVKGYE8swQhs3Qhs8Shf+l/KBr4cJT5+v/bu/8Yq8r8juPvD7+74ArIqCwwgpEG0Sq6I7UaWaOuy7YGmhQj291Wm21If5C2aZpG20RTNmm66abdtLVRqiTWdotUm83UsCEa1/pHd90ZWVwXLe1I/TEdNyIoKCA48O0fzzk7h8MdvcwZZubc+3klJ/f8eM69z3OfmfN9nuc8995Jk4ZGL/JGU3E9b0SVG1TDrTfaHi598TXKSzlv5RGW8pKXN38vyiMu4/l3VxcR0N+fJpq99FL6StOdO1MPOyLV2ZVXpl+WvPHG9J3l55wz3rkeFVX+Oho1qxt2aSR9hTRc/rkRnLsB2ADQ2dl55rmcaKZOTcH6ttvg3Xdh+3bo7oZt2+Chh9Lxa66BVavSct11KdC0gpMnhwLzwMDQkm/njz/5Sep5ln3qU6mxc8EFaab/9denz+Sffz7Mm5dGNebNS8vcuSnwtgJp6II/c+bYvvZHHzVuFORLfmshb0wUGxX5cvz40K2HY8dOHWHIRxny5cMPU6Mhvy3x0UdDIxT5vuLoRb5evHVx4sTQSMcIbxFOGJMmDTWAyrdLiiMhw42m5Eu+nTdM86W8PW3axBsx+fDDoQb7wAC8/vrQsndvCtyHDw+l/8xn0jdl3nFH+mTQddfBnDnjl/+zqEoA7wcWFbYXAgPlRJJuAf4U+FxEHCuce2Pp3GcbvUhEbAY2Q7oHXiG/E8+cOeney5e/nC5kzz0HTz+dHr/xjdRbhzQDcsWKtFxxBVxySRr2mTFjfPOfO3Ik9YyLS95zznvR+XajwDx3bvqnmz8/zdyfPz9tX3hhWs8fZ80a+7K1u7xXXOceSx7Ii7cwGq032m6UPt8uNxiKDYryks+RKDZMio95QyZv1BQbPcePn95AyhtOR4+m20PlkZMjR1LaMzVp0umBv3hrpdx4aDRiUBwpKTcGiu/B4OCpDcGjR9NclIMH0/Lee6nB//77p+dzxgzo7Eyf+LnhBli2LC2XXjrhJ56NpioBvAdYKmkJ8H/AeuBXiwkkXQU8CKyOiLcLh3YAfy4pbxbdCtxTIS/1N21aGj6/5Za0ffhw+orW730vfcZ81y544omh9FL67t2LLx4KfnnvdPbs1Gv/9KfTkv+j5UN0cOqFKb9A5MsHH6R/mnw5eDCNFhw4kB737x+657xv36mt36LzzhvK17JlQ/mcPz/lPQ/SE6UhYq2pXeeXnDyZ/p+PHBmalHn4cOPt4r58u3iLJQ+u77xz6rWi3NA4U9OnnzpqcM456dq1aBFcfnlq3F9wwdBI2/z5cNFFabRtoo0UjIMRB/CIGJS0kRSMJwNbImK3pE1Ab0R0A38JzAL+VenNfiMi1kTEAUlfIzUCADblE9osM3Mm3HRTWnLvv58+r9jXlz4C0deXJsf19KQe7tn+vPm556ZRg7lz0z/QsmXpsaMj/ZPly/nnp8CcNxbMbOwVe9Pz5o3Na548eepoQ1HEqfMa8jkFNmIj/hjZeKjdx8jG2gcfpGHqQ4eGZlofOnTqx56OHTt9Uk75o0kzZw5N7Mp78bNnj9lv3JqZWXK2PkZmE82sWen+uJmZtbw2vTlkZmZWbw7gZmZmNeQAbmZmVkMO4GZmZjXkAG5mZlZDDuBmZmY15ABuZmZWQw7gZmZmNeQAbmZmVkMO4GZmZjXkAG5mZlZDDuBmZmY15ABuZmZWQ5UCuKTVkvZI6pN0d4PjqyTtlDQoaV3p2AlJu7Klu0o+zMzM2s2If05U0mTgfuDzQD/QI6k7Il4uJHsDuAv4owZPcTQiVoz09c3MzNpZld8DXwn0RcReAElbgbXATwN4RLyWHTtZ4XXMzMyspMoQ+gLgzcJ2f7avWTMk9Ur6vqRfrpAPMzOztlOlB64G++IMzu+MiAFJFwPPSHopIl497UWkDcAGgM7OzpHl1MzMrMVU6YH3A4sK2wuBgWZPjoiB7HEv8Cxw1TDpNkdEV0R0dXR0jDy3ZmZmLaRKAO8BlkpaImkasB5oaja5pDmSpmfr84DrKdw7NzMzs4834gAeEYPARmAH8AqwLSJ2S9okaQ2ApGsk9QO3Aw9K2p2dfinQK+lF4LvAX5Rmr5uZmdnHqHIPnIjYDmwv7bu3sN5DGlovn/efwM9VeW0zM7N25m9iMzMzqyEHcDMzsxpyADczM6shB3AzM7MacgA3MzOrIQdwMzOzGnIANzMzqyEHcDMzsxpyADczM6shB3AzM7MacgA3MzOrIQdwMzOzGnIANzMzq6FKAVzSakl7JPVJurvB8VWSdkoalLSudOxOSf+TLXdWyYeZmVm7GXEAlzQZuB/4IrAc+JKk5aVkbwB3Ad8qnTsXuA/4eWAlcJ+kOSPNi5mZWbup0gNfCfRFxN6IOA5sBdYWE0TEaxHxI+Bk6dwvAE9FxIGIeBd4ClhdIS9mZmZtpUoAXwC8Wdjuz/ad7XPNzMzaXpUArgb7YrTPlbRBUq+k3n379jWdOTMzs1ZWJYD3A4sK2wuBgdE+NyI2R0RXRHR1dHSMKKNmZmatpkoA7wGWSloiaRqwHuhu8twdwK2S5mST127N9pmZmVkTRhzAI2IQ2EgKvK8A2yJit6RNktYASLpGUj9wO/CgpN3ZuQeAr5EaAT3ApmyfmZmZNWFKlZMjYjuwvbTv3sJ6D2l4vNG5W4AtVV7fzMysXfmb2MzMzGrIAdzMzKyGHMDNzMxqyAHczMyshhzAzczMasgB3MzMrIYcwM3MzGrIAdzMzKyGHMDNzMxqyAHczMyshhzAzczMasgB3MzMrIYcwM3MzGrIAdzMzKyGKgVwSasl7ZHUJ+nuBsenS3osO/68pMXZ/sWSjkralS0PVMmHmZlZuxnx74FLmgzcD3we6Ad6JHVHxMuFZF8F3o2ISyStB74O3JEdezUiVoz09c3MzNpZlR74SqAvIvZGxHFgK7C2lGYt8Ei2/jhwsyRVeE0zMzOjWgBfALxZ2O7P9jVMExGDwEHgvOzYEkk/lPQfkm6okA8zM7O2M+IhdKBRTzqaTPMW0BkR+yV9Fvi2pMsi4tBpLyJtADYAdHZ2VsiumZlZ66jSA+8HFhW2FwIDw6WRNAU4FzgQEcciYj9ARLwAvAr8bKMXiYjNEdEVEV0dHR0VsmtmZtY6qgTwHmCppCWSpgHrge5Smm7gzmx9HfBMRISkjmwSHJIuBpYCeyvkxczMrK2MeAg9IgYlbQR2AJOBLRGxW9ImoDciuoGHgUcl9QEHSEEeYBWwSdIgcAL4rYg4UKUgZmZm7aTKPXAiYjuwvbTv3sL6h8DtDc57AniiymubmZm1M38Tm5mZWQ05gJuZmdWQA7iZmVkNOYCbmZnVkAO4mZlZDTmAm5mZ1ZADuJmZWQ05gJuZmdWQA7iZmVkNOYCbmZnVkAO4mZlZDTmAm5mZ1ZADuJmZWQ1VDuCSVkvaI6lP0t0Njk+X9Fh2/HlJiwvH7sn275H0hap5MTMzaxeVArikycD9wBeB5cCXJC0vJfsq8G5EXAL8NfD17NzlpN8HvwxYDfx99nxmZmb2Car2wFcCfRGxNyKOA1uBtaU0a4FHsvXHgZslKdu/NSKORcT/An3Z85mZmdknqBrAFwBvFrb7s30N00TEIHAQOK/Jc83MzKyBKRXPV4N90WSaZs5F0gZgA0BnZ+eZ5m9Ys1bMGrXnMjMzG2tVA3g/sKiwvRAYGCZNv6QpwLnAgSbPJSI2A5sBurq6TgvwI7X0m0tH66nMzMzGXNUh9B5gqaQlkqaRJqV1l9J0A3dm6+uAZyIisv3rs1nqS4ClwA8q5sfMzKwtVOqBR8SgpI3ADmAysCUidkvaBPRGRDfwMPCopD5Sz3t9du5uSduAl4FB4Hcj4kSV/JiZmbULpc5wPXR1dUVvb+94Z8PMzGxMSHohIroaHfM3sZmZmdVQrXrgkvYBr4/iU84D3hnF55uoXM7W4nK2FpeztYx2OS+KiI5GB2oVwEebpN7hhiZaicvZWlzO1uJytpaxLKeH0M3MzGrIAdzMzKyG2j2Abx7vDIwRl7O1uJytxeVsLWNWzra+B25mZlZX7d4DNzMzq6W2COCSVkvaI6lP0t0Njt8laZ+kXdnym+ORzyokbZH0tqQfD3Nckv4mew9+JOnqsc7jaGiinDdKOlioy3vHOo+jQdIiSd+V9Iqk3ZJ+v0Ga2tdpk+WsfZ1KmiHpB5JezMr5Zw3STJf0WFafz0taPPY5rabJctb+epuTNFnSDyU92eDY2a/PiGjphfQVr68CFwPTgBeB5aU0dwF/N955rVjOVcDVwI+HOf6LwHdIvwJ3LfD8eOf5LJXzRuDJ8c7nKJRzPnB1tn4O8N8N/m5rX6dNlrP2dZrV0axsfSrwPHBtKc3vAA9k6+uBx8Y732epnLW/3hbK8ofAtxr9fY5FfbZDD3wl0BcReyPiOLAVWDvOeRp1EfEc6bvmh7MW+MdIvg/MljR/bHI3epooZ0uIiLciYme2/j7wCrCglKz2ddpkOWsvq6MPss2p2VKegLQWeCRbfxy4WVKjn12esJosZ0uQtBD4JeChYZKc9fpshwC+AHizsN1P4wvEr2TDkI9LWtTgeN01+z60gl/IhvC+I+my8c5MVdnQ21Wk3kxRS9Xpx5QTWqBOs+HWXcDbwFMRMWx9RsQgcBA4b2xzWV0T5YTWuN5+E/hj4OQwx896fbZDAG/U4im3CP8dWBwRVwBPM9RqaiXNvA+tYCfpqwevBP4W+PY456cSSbOAJ4A/iIhD5cMNTqllnX5COVuiTiPiRESsABYCKyVdXkrSEvXZRDlrf72VdBvwdkS88HHJGuwb1fpshwDeDxRbeAuBgWKCiNgfEceyzX8APjtGeRtLn/g+tIKIOJQP4UXEdmCqpHnjnK0RkTSVFNT+OSL+rUGSlqjTTypnK9UpQES8BzwLrC4d+ml9SpoCnEuNbxcNV84Wud5eD6yR9BrptuxNkv6plOas12c7BPAeYKmkJZKmkSYTdBcTlO4briHdh2s13cCvZzOXrwUORsRb452p0Sbpwvw+k6SVpL/x/eObqzOXleFh4JWI+KthktW+TpspZyvUqaQOSbOz9Z8BbgH+q5SsG7gzW18HPBPZDKi6aKacrXC9jYh7ImJhRCwmxZRnIuIrpWRnvT6njOaTTUQRMShpI7CDNCN9S0TslrQJ6I2IbuD3JK0BBkktpLvGLcMjJOlfSLN150nqB+4jTSAhIh4AtpNmLfcBR4DfGJ+cVtNEOdcBvy1pEDgKrK/bRTBzPfBrwEvZ/USAPwE6oaXqtJlytkKdzgcekTSZ1ADZFhFPlq5DDwOPSuojXYfWj192R6yZctb+ejucsa5PfxObmZlZDbXDELqZmVnLcQA3MzOrIQdwMzOzGnIANzMzqyEHcDMzsxpyADczM6shB3AzM7MacgA3MzOrof8H/yHPHH+jKOQAAAAASUVORK5CYII=\n", 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\n", 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aWEe4mlhgbwlGaKrbzsNXnoHPY0yyY3emM/a6Z9neosBidETU4RDaXUWK9jF5ylHkuuwkaz9OVypmsykW1O3ktJkaVjrJxY8EcCF6sI0bNzJu3DiGDRvGu+++S3Z2NjWeAMvKG1lb5W63gpcvGGZFhRHQmwNhnHYLowtTGdUvrd144cL0ZMYWpTMk1ynTd/YRG7ds4+STTmDd2jWkZWQR1eBprCNvwBB+fM/T1Da62bi1imp3C+6ojagzD6xJxsHRCKG6ciwtdaSaQ+SlORg6eBClo40vEK4kS7tJabKddtId1gMelic6TtrAheihQqEQM2bMQCnFq6++SpNO4pMlWymv97Xbr8YTYGl5A99ubyYS1RRlJjN1WA4l2Smt045azYph+amMLUoj15UUj+yIOHrvX2+ybu0aRo4cydy5cwE4dupUVq9aRbhsMd///g9bh6xFohqtNW5/mGq3n+XfrKDOYcefOgyP3YkHWF+lSXeXkeOyU774I5wqQGF2BsUlJRSUlJKalkaW005Wio1sl53sFGN1tl3HsYuuI5+0EF3E6/VSXV3NwIEDAViwYAETJkwgKWlncJ09ezYLFy7kd7Ne4NMKaPBVtG7TWrOpzsvSLY1sbWjBalaMKkhlbFF6u+pwV5KFsUXpHFKYJlWdfdiOoWJt12r/ZO7c3YaRRaKaOm+AanegdTz6qMIpBMNRtNZ4gxE2V9ZQ7fbjw852tx9/8RH4gVrgq01NBBf+h/wMJ5OOOJIMh5ktX35EYckQcosHk+ZKMYK609666Eu2095uLLvoHFKFLkQni0QiTJ8+nTfffJOJEyeycOFCqqurKSkpobi4mD//+c8cc8wxtAQjLN3SwOvvfkjhiJ0rcoUjUdZUefhqSwMNvhBOu4VDi9IZ3S+1dfgXQG6qncOKMxia55JqcnFQtNY0tYTatanXeAJ4/Mba7oFwhBpPgPLKGrbVNlDvixCwuogSW0c9GiFUv41Q7Was/kbSbHDE947hkEMPIxo1hje6ku1kpNjIigX1rBQ7mU6bTBW7H1KFLkQ3uv/++3njjTf4xS9+wcknnwxAbm4ub7zxBj/72c849thjOfK4aUz+/o8pHDqmNXgHQhG+3tbEsvJGfMEIuS4700blUZrbPkAPyHIwYUAmxVmOuORP9D5KKWMRGoeN0jxX6/u+YHhnUPcEqClKp8EbIqo1Ua1p8oWodrdQXlVDlTkLd3o2IYuDFmBuPSz4dAMOglQsn4c94iUjyUxBdgZFRcUMHjOB5BQXdquJzDZLtO4I8qlJVkwmxcyZM9vVKsjkNDtJCVyITvT5559z9NFHc+GFF/Lyyy+329bgDTJ/9VYef+RB/vvqM1jtSdw9+3PCJjtLyxv5ZmsTwUiU4kwH4wdkUJSR3NpJyKQUQ/OcjC/JkPZtEVfhSJQ6b7BdSb22OdC6/GwwHKXOG6CuOUidN0hlbSO1Hj8Ry85/t9GAl2xXMgXZ6YTqtlKzeiH9cjIoKi6h38BSnOlZWM0mFr/3D176/e2UDBnGK2+8S5rDwvlnnMKqVat44okn+kQQ75G90JVSRcBLQD4QBZ7WWj+2r2MkgIue7q677uKll15i6dKlpKamAlDXHGDhpnq+3e5pXUu6qmwdDZ4Wqqz5rKx0E41qSnN3D9Bmk2JkQSoTSjJId8gwMNFzuf1GFXytJ0BtszHMrdFnlNYBWoIR6rwBquo9bKuuJWh10eAL0xLaOYNgNOAjVL8V7a7mqOOn4TKHefPuy2moKiclNQOlFM1N9fQrKeX+5+YwsH+/1pJ7ZoqtV/YB6akBvAAo0Fp/pZRyAUuAs7XWq/Z2jARwkQiamppIS0ujtjnAwo31rKveGbjBmHjly7IG1lQZk22MKEhl/ICMdpOuWM2K0YVpjB+QgSvJ2t1ZEKJThCNR6r3B1oC+o2S+o20djMBe7w1SUVNPRXUddd4APm0jYjWaiCLeRiqe+7+dk9PYHRx63s856ZwZZKTYMCswmYzJZ5x2S/t2dqfR1p7IHeh6ZBu41roSqIz97lFKrQYKgb0GcCF6qjfffJPi4mIOO+wwwuYk/v115W6Bu8EbZFFZPWurPJhMikP2EKBtFhNj+6dz2ID01qlPhUhUFrOJ3NQkclPbN/v4QxHqvEHqmgOxn0Hq8514A4Wt+wTCERq8Idava+FfyqimBcBspTrjEP7+Zbnxd0sjkYYKkgmQkWwlPzudwQNL6F9c0toE5bCZW4e8ZTl39oxP9BJ7j2gDV0qVAPOA0Vpr9972kxK46Ilqa2sZPHgwh02YyA2P/pW129sH7npvkIWb6vh2ezMWk2JM/zQOK85oN17WbjVxaP90DhuQkfAPFSEO1I5q9nqv0X5eVl7BLT85n8qydTjTMgFobqonu/8gTrv5KQIWF6tXr8YdgkhSGsqyc9nbJIuJjBQbni2rcJqj5GelU1JcSP/+/TG3KbHvKKlnO+2twb0nTTXcI0vgOyilnMA/gev2FLyVUlcCVwIUFxd3c+qE2L8777mP5uZmjphxPWuqPK3v13uDLNpUz9rtHqxmxfgBGRxW3L5kbbeaOLQoncOKJXALkWwz09/moH+GUX0+86M5VJatY8TIkcx+6z3qfUEuPfd0ytavJbLhfxxxyg+YNHAKYAyFq3d72bSlHE8QoimZ1DcHcNuyaU5OpSoAy9YF0KtXk6wDFPcvIMNhJVizmYFF/SnIy8ESmwfelWRpF9B3jGnvafPEx7UErpSyAu8AH2it/7C//aUELnoSbyDMvz77mh+ePJnDjjudC69/AIAGX5CFm4yqcqtZGVXixRnt2uFsFhPjiiVwC7E/+xpGFo1qGltCNPiCNHiD1HuDNPpC1PuCtAR3do5raGpiw8YytlVVU9scwJZdRNiWirtNW7yOhFG+BpK1nwH9CxhY3J+sFGNondmkUApSk6xkOW1kOHa2sWc4bDz39FNdNtStp3ZiU8CLQL3W+rqOHCMBXPQE/lCEJZsbWLqlgb/+7maWfPw2v33hP5hcOSzcVMeaSg9mk2JsUfpuJW6bxcS4IqkqF6Kr+UNG5zgjuMeCvM8I8JHYan5er5dVq1aybXsNtR4/zRErkeR0LOn50DpJTRiTrwEHAbJSrPTLzWLIgGIyUx0opVjw9iu8/sTd9B9Yyu9ffJ3vDcnmxBOO77Shbj01gH8PmA98w87+Cb/VWr+7t2MkgIt4CkWiLC9v5MuyBvyxoS8f/f0pfBGFY/zZrK50o5TRxj1hQMZugfvQonTGS+AWIq6iUY3bH2oN7vXekFF6j5Xao9EooXAYd0CzbsNGVnzzDV5sRB1ZscBusJoVKaYwoYo1bH77Mby1FaSkGf/va2pqWuek31EqP1A9MoAfCAngIh6iUc2qSjdfbKxrN/ylORDmy7J6Vm4zum6MLkxlYklmu85pVrNREp8wIDOhh7II0Rfs2omuvtmolm8OhIlEwlSWl7GxbAupJYfQFIT1G8toCinQmornrybqM5ZxzcnJYcWKFQcdvKGHd2IToidbX93MZ+tr263F7QuG+WT5eja4FSgTI/ulMqkks91wMKtZcUj/dCaWZMhwMCESxK6d6HZoCUaMceyj+lHjGU+NJ0Bdc4BjhuYQ8Lew5pul/J0Iwb2ct6vIk0WIPdjW2MKCdTVUNPpb3wuEIny1pZGl5Q2Ewgr/t59x+Q/OJScjrXUfi0kxun8aE0syZZEGIXqJZJuZokwHRZk7A3s0qqn3BVm1sZynfvkAQV8zzvRMkq1mampqmDp1aqdUoe+LPGGEaKPeG2T+uho21nhb3wuGoyzb2shXmxsIhKPk4GHZs7/h9AsubQ3eZpNiVL9UJg3MlJnThOgDTCZFttPON/M/YPOGbxk5ciQffvRfzCbFcccdx6pVq7p80RUJ4EJgtGd/saGOlRXu1rmbw5EoX29rYnFZAy2hCAOzUxiba+HZX/yQgvz+TDlzBialjCr0gZmkJUvgFqKv2dM67HP3sA57V5BObKJPC4QjLClr4KstDYQixv+FSFSzsqKJL8saaA6EKcpMZvKgLArSknn5getZPv8Dfj3rDY47cjyHD8wizSGBWwjRNaQTmxC7iEY1X29rYuHGOnyxCR+iUc2aKg8LN9Xh9ocpSEti2qi8dh1axkw5kYmTJnLTRSfK6mBCiLiSAC76nHXbPXy2vpYGXwgwpmBcV93MFxvraPCFyHXZOXZYLiVZjnbrcQ/Ld/Gjm6/qUOBed906AEofLe26jAgh+jQJ4KLP2NrgY8G6WiqbjJ7lWms21Hj5YmMddd4gWSk2TjukgME5Ke0C9/ACF28+eT+RQSWc/KtfdehazcuauywfQggBEsBFH1DbHOCz9bWtPcu11myq8/LFxnpqPAHSHVamjcpjaJ4LU5vAPaLAxaGFTh665w6emvknrr/++nhmQwgh2pEALnottz/E5+vrWFPlRmsjcG+u8/HFpjq2uwOkJlk4cWQew/NcmExG4DabFCMLjBnV6rdv5fSTzuTLL7/kmmuu4f77749zjoQQYicJ4KLXaQlGWFRWz9fljYSjGq01W+p9fLGxniq3H1eSheOH5zKiIBWzSREJh1i3bBEl2SmMGpjHccMH4/V6mTRpEqFQiNdee41zzz033tkSQoh2JICLXiMQjvDV5ka+2tJAMBxtDdwLN9VT2eTHabdw3LBcRvYzAjeAioZ4/eFf8b+5/2k9TzgcxuVy8dhjj3HEEUcwaNCgeGVJCCH2SgK46NEqKiq49NJLKSkp4e6776agoGC3fcKRKMu3NvFlWT0twQhaa8rqfCzaZJS4nXYLU4flMLJfKhaTCYAkq5kRuUk88Ksr+N/c//D73/+eww8/HJ/Ph9lsLDoyY8aMbs2rEEJ8FxLARY+1fPlyTj/9dOrr6/n0008ZPXo01157LWC0Zy/5ail/euYF3nnjnxSWjuay2//ExlovizbVU+0J4EqycNzwXEYUuFoDtyvJwrjiDA4pTEPpCC6nk2effZYrrrginlkVQojvTAK46JHmzZvHaaedRlpaGp999hkul4uioiIAXn75FW657Xa2lG3EZLYw6JCJDDr5cl5ZtIW65iCpdnO7Nm6ALKeN8QMyGJ6fir/FR1NDHTk5OcyZM6d1yJgQQiQSCeCiRyotLWXq1KnMmjWL/v37A8YUpyu2NfHES7OxuLL4/i8uwzHiaL6pDrCsOUSmA3K2f8nG95/ne7+8B3PhZPpnJDN+QAYDs42x3X6/n7POOova2loWL16MxSL/BYQQiSmuTy+l1PPA6UC11np0PNMieob//e9/TJo0iYKCAt5++22g/dzk7pYQ5/zyIVZUNLF0SyPNZc3kuuycOjqfIblONjlr2PyRhT/ffDm33XUf191yY2sJOxgMMn36dP773//y4osvSvAWQiQ0U5yv/xfg5DinQfQQ77//PkcddRQPPPAAYCzjuWRzAy98ton/rq6msrGFzzfU8vxnm5i/rpb0ZCtnH9qPCycWUZrnIslmZvrpJ7Js6Vecc8453HXbzVx22WX4/X4ikQgXX3wx77zzDk8++SSXXHJJnHMrhBAHJ65FEK31PKVUSTzTIHqGJUuWcN5553HIIYfwk6uu5vMNtSwvb8IfilDvDfLVlgbWVHqIaM3gnBTGD8igIC0ZgHSHlbFF6Yzql4rdYvQgnz17Nvfeey8PP/wwN9xwA3/729+YM2cOv//977nqqqvimVUhhOgUcV9ONBbA3+lIFbosJ9o7bdy4kcmTJ2NPSubhl96iJuIgGI6ypd7H0vJGNtf5WmdIG1ecTkZsMZHiTAfjitNb27f3pKqqivz8fCorK3nrrbe6LXgvPXYpAOM+Gdct1xNC9E4JvZyoUupK4EqA4uLiOKdGdDatNeecOx2fP8Dl9/+FzS121lY1srS8kXpvEIfNzBGDMjmkMA2HzYLNYmJEgYux/dPJctr3e/78/HwACgoKpOQthOhVenwA11o/DTwNRgk8zskRB2HmzJlMnz6d3Nxc/KEIC77ZwIuv/IOjf3g9E6Im1gZSWblgE4FwlBynnZNG5lGa58RiMpHltDGmfzojClyt1eRCCNGX9fgALnqHmTNncs011/D4EzO59+nZfP7VNzx397V46msYcvYvCA07CUAs7S0AACAASURBVKUaGZLjZGz/dPqlJ2Exmxic42RM/zSKMh3xzoIQQvQo8R5G9nfgWCBbKbUVuENr/Vw80yQ6nzcQpvTwE+g3sJRv16zmklOnEAgE0SE/1qxi1KDJTBqYySH90nAmWXAlWTikMI3RhWmk2OU7phBC7Em8e6H/IJ7XF10nEI6wvrqZtVUeyutbCEXgpF/P4uXfnIe/uQkAS0oaM+5+ltGDi7GaTQzMSeGQwjRKshwyO5oQQuzHXgO4UuqvWusfKqWu1Vo/1p2JEokpEI5QVutjXbWHTTVewlFNjSfA6io3ayo9NDfWEW0z6iHJYmZsUTpHlmYzqjANp5S2hRCiw/b1xByvlBoAXK6UegloVyTSWtd3acpEQvAGwmyq9bK+upnyeh/hqKbZH2btdg+rq9zUNQcxKSi0B9n6998QbXHjcKZhtVpoaqjj2Zsu46K5cyV4CyHEd7Svp+ZTwPvAIGAJ7QO4jr0v+hitNVVuP5tqvZTV+qj2+NEaWoJGlfm32z1sbWwBID81iWOH5jA0z8WS9/9Bc10lxQMHM2/efJJtZqZOncqqVauYM2cOV199dZxzJoQQiWWvAVxr/TjwuFLqSa31z7oxTaKHafAG2VLvY0u9j60NLfhDEQB8wTAba7ysq26mvMGH1pDhsDJpYCbD811kOGwkWc2sn/cGPzjxCI4b/kTrMDKAuXPnSvAWQogDtN96SwnefYvWmtrmINsaW6hobGFbQwvNgXDrdndLiA01zWyo8VLR2IIG0pKtjC/OYGiei2ynDbPJxIAsB8Wpijdf/DOP3X8fm88+m9dee63dtXJzcyV4CyHEAZKGxz7OH4pQ2eSnsqmFqiY/VW4/gVC0dXtUa6qajCrzTbVe6rxBwFhfe+LATIbkOMl22lBKkZtqZ3h+KgMzbLz8l+e48t57qamp4bzzzuP555+PVxaFEKJXkgDeh/iCYWo8Aao9Aba7/Wx3B3C3hHbbz+0PsaXOx+Z6H+X1PgLhKCYF/dKTOapfNgOzU1rnIw80VLLpk/lYw80MOWoK4w8/g3nz5nHttdcydepUHnzwQSZNmtTdWRVCiF5PAngvFIlq6r1BapsD1HuD1HgC1HgC7arC2/IGwmxrbKG8wWjjbvQZQd1ptzA4x8mALAcDshytU5g6bGYGZzv47O2XeeieO2hpacFkMmGKhjnjjDM4+uijWbRoERMmTJDx3EII0UUkgCewUCRKgy9IvTdIfXOQ+tjvDd5Qu/HWbWmtaWoJUdHkp7KxhYpGP/U+o1rcZjbRLz2JQwrTGJDpIDPF1hqAHTYzQ3KdlOa66J+RzJVX/oTnnnuO008/nccff5wBAwZgMu1cXn7ixIld/wEIIUQfJgG8h4tGNW5/iAZfiEZfkEZfyAjSviDNgTD7Ww3WH4q0VpdXuf1sd/vxBY1e5HaLiYK0JEYUuOif4SDXZcdk2llidiVZGJzrZEiOk/4ZySiliEQimEyKn/3sZ0ydOpUZM2ZIKVsIIeJAAngPEI5EaWoJ0dQSorElRJMvRGOLEaw9/jCR6P4XYdNa4wmEqWsOxtq5/dR4Arj9O6vNMxxWUgJ1OOrKOPLIIynp34+1SxZQ/tk3DDnp+5jN+eS47AzMTmFIjpPc1KSdaQyH+eUvf0lLSwvPPPMM48ePZ/z48V3yeQghhNg/CeAd0HYZTIDq6urvNH5Za01zIIzbH6bJF2oN1m5/CHdLqEMl6R2iWuPxh2nwGlXmDd4gdd4gdc1BgpGdvcfTkq3kpSYxutBOXmoSeal2/vfmS7z99IOYLVamjHkZpQqJBH289+JjfPDXP3HiSdO48ic/Zvyhp2G371xr2+PxcOGFF/Luu+9y/fXXo7WWUrcQQsSZBPD92LEM5qxZs5g7dy5A6wxiAFdffXVrgPb4w7GgHMbdEsITMErTHn+YcAdK0TsEw1HcfuM4945SeZtX2xJ5ksVEltPO8AIXWSk2spx2sp223dbMXrXoU/717O849OiT+e0jf6Ykx0lRhoO8E67h5otP5YUXXuCFF17g3HPPpbCwkPLycpRSzJ8/n5///OesWLGCp556ip/+9Ked8KkKIYQ4WEp3tOjXA0yYMEEvXrz4oM7xXUrT0ahm87ZKTjnpBNauWU1mVjYaaKirpXjwUG6b9Q9MjnSaAx2r5o5GNS2hCN5AGG8wgjcYxhsI0xwI0+zf+dMfjrY7zmJSpDmspCdbSUu2kuGwkZFiI9NhI9lm3svVDHarCd2wjRsvOZ2Bgwbz2YIFpLqce9w3HA7z4YcfUlFRwRVXXAHA8OHDqaioYM6cOUybNm2/eRSGpccuBWDcJ+PinBIhRCJTSi3RWk/Y07Y+VQLftTT98epqrv/R96nYtI5Fm+o44dxLCEY0oUiUUDjaWmqecddz/O7K06mvqwUgJS2Ti+56jvIWKwGPB38wzNbNG6go30JW8VBsqVn4QxH8oQgtoQgtQeO1a2DeIdlqxmm34LRbKEhLxpVkITXJSmqy8dNhM3eoytpmMZGVYiMvLYn8VOOV7rDi9eaz7MILuf322/cavAEsFgunnHJKu/dmz55Nbm4u+fn5Hf2YhRBCdIM+FcCnT5/OrFmzWLVqFSNGjjKCq7uB1PwBVKcO5x+frSWKCax2whGNz9eC292Eu3Y7LYGdE560hCL89YvNmFOa2pzdAa7hVDSAubGRJKuJJKuZZKuZbKedZKuZZJsZh81Mit1i/LQZPy1m0+6J3QezSZHuMEriWSk2sl12cpx20h3W1kDv8XhYMO+/pKenM3nyZJ555pkD+szGjBlzQMcJIYToWnEN4Eqpk4HHADPwrNb6wa68Xm5uLnPnzmX06NHU1NQAYHKkkXrefaz2paA9LRAJ4XKlYjObqN1ahr9mCw0fP0vU78HicKGUIuRtomnOb4lkFGO32SkaVMqQkYdQOupQMjIysZoVKz7/LyMnHIPZYv3O6TQphcNmxplklMrTYlXnbV9th3vtUFdXx6OPPsqHH37I4sWLiUQinH/++UyePPmgPzshhBA9S9wCuFLKDMwETgS2Al8qpd7WWq/qznRYoiFGeZfhtKRhtVhwpKcxevJYAJbNW0VFcwMfuWvIGzCE//vdSwDMuuEStm9ez2mnnccJF16J2WRqDagmpdi2fgUv3HU1Q8dO4pwrriUtI5O09HRy8wtIslkhHCQS9GPSEXJzsklzJhsldKsZh92Cw2reY4DeF601p556KkuWLOHwww/npptu4thjj+XII4/s3A9MCCFEz6C1jssLmAx80Obvm4Gb93XM+PHj9cHYvn27HjlypAZ0Tk6OzsjK1oAeVDpML/hmvS6rbdbbGny62u3Xjd6gbvaHdEswrB997HG9raJSRyJRHY1G9fbt2/UTTzyxz2u9/PLLOjk5WWOsna4BvX37dq211jfeeGPre/3799cffPDBHs/R2Nio58+frzds2LDX69TV1Wm/36+11nrBggV62bJlB/jpiM701TFf6a+O+SreyRBCJDhgsd5LTIxnFXohUN7m763A4V15wTlz5rBq1SpGjhy525CwZZ++z5S9jOu+9hc/b/d3R5bBvOiiizjuuONYu3Yt9fX1NDQ0kJGRAcAZZ5xBYWEhJpOJJ554gmnTpnHDDTfw0EMPAVBTU8Ojjz7KE088gdvtZvr06cyePRuA/Px8QqEQLpcLp9NJVVUVP/3pT7nvvvuYMmXKQX0+QgghEkc8A/ie6oh3G4ullLoSuBKguLj4oC64I+i2HUY2d+7c7zQpy3dRUFBAQUHBbu9PmTKlNdhefvnl3HrrrQwfPhyARx55hNtvvx2/38+5557LJZdcQmFhYeuxV1xxBU1NTXg8HjweDyNHjuT888/v9LQLIYTo2eI2DlwpNRm4U2s9Lfb3zQBa6wf2dkxnjAPv6V5++WU+/vhjbrzxRoYNGxbv5IgDJOPAhRCdoaeOA/8SKFVKDQS2ARcCM+KYnh7h4osv5uKLL453MoQQQvRwcQvgWuuwUuoa4AOMYWTPa61Xxis9QgghRCKJ6zhwrfW7wLvxTIMQQgiRiL7bFGBCCCGE6BEkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJSAK4EEIIkYAkgAshhBAJKC4BXCk1XSm1UikVVUpNiEcahBBCiEQWrxL4CuD7wLw4XV8IIYRIaJZ4XFRrvRpAKRWPywshhBAJr8e3gSulrlRKLVZKLa6pqYl3coQQQogeoctK4Eqpj4D8PWy6RWv9VkfPo7V+GngaYMKECbqTkieEEEIktC4L4FrrE7rq3EIIIURf1+Or0IUQQgixu3gNIztHKbUVmAz8Wyn1QTzSIYQQQiSqePVCfwN4Ix7XFkIIIXoDqUIXQgghEpAEcCGEECIBSQAXQgghEpAEcCGEECIBSQAXQgghEpAEcCGEECIBSQAXQgghElBcxoEL0ds5D3XGOwlCiF5OArgQXaD00dJ4J0EI0ctJFboQQgiRgCSACyGEEAlIArgQQgiRgCSACyGEEAlIaa3jnYYOU0rVAJs78ZTZQG0nnq+nknz2LpLP3kXy2bt0dj4HaK1z9rQhoQJ4Z1NKLdZaT4h3Orqa5LN3kXz2LpLP3qU78ylV6EIIIUQCkgAuhBBCJKC+HsCfjncCuonks3eRfPYuks/epdvy2afbwIUQQohE1ddL4EIIIURC6hMBXCl1slJqrVJqvVLqpj1sv0wpVaOUWhZ7/Tge6TwYSqnnlVLVSqkVe9mulFKPxz6Dr5VSh3V3GjtDB/J5rFKqqc29vL2709gZlFJFSqm5SqnVSqmVSqlr97BPwt/TDuYz4e+pUipJKbVIKbU8ls+79rCPXSn1aux+LlRKlXR/Sg9OB/OZ8M/bHZRSZqXUUqXUO3vY1vX3U2vdq1+AGdgADAJswHJg5C77XAY8Ee+0HmQ+jwYOA1bsZfupwHuAAo4AFsY7zV2Uz2OBd+Kdzk7IZwFwWOx3F1AJfLa/ewo8Bdy2j/P+Fni2i9J8L8b416qDyOe3e/j/uc97ur8894RX7B45Y79bY/fqiF32+T/gqdjvFwKvxjvdXZTPhH/etsnLr4C/7enfZ3fcz75QAp8ErNdab9RaB4F/AGfFOU2dTms9D6jfxy5nAS9pwxdAulKqoHtS13k6kM+4U0p9opRqUErZD/QcWutKrfVXsd89wCLgzl122+2eAndpre+JpeNYpdTWXc57v9a600s8Sqki4HqM4Jvf0eP2kM/VQOE+rnOZUmrBLue4akeee6rYPWqO/WmNvXbtgHQW8GLs99eA45VSqpuS2Ck6mM9eQSnVHzgNeHYvu3T5/ewLAbwQKG/z91b2/IA4N1YN+VrsYdTbdPRz6A0mx6rw3lNKjerOC8eqyY7CeGid2YnnHIdRmmmrJ93TAUCd1rr6QE+wj3xC7J5ilHgcB3qNeIpVty4DqoEPtdZ7vZ9a6zDQBGR1byoPXgfyCb3jefsocAMQ3cv2Lr+ffSGA7+kbz67fCP8FlGitxwAfsfNbU2/Skc+hN/gKY+rBscCfgDe7+fqXAF8AfwEubbtBKZWllHpbKeWOtRPes6M0qZQqUUpppZSlzf6fKKWuBv4JvAW8G3tfKaX+CJwIvB97EI6OHXaHUupepVQKRvV6P6VUc+zVTyl1p1Lq5TbXODPWVtkYu96INtvKlFK/jp2/Kdael7RrhpVSJwAftrnWX/ZU+o+d74TY73cqpWYrpV5SSnmUUqtj6b1Oa+2OtY2/rozpk1/HKMFcCAwHxsWu0xg711+UUve2uc5PYu2O9bHPu1+bbVopdZVSal2slmRmd5VytdYRrfWhQH9gUpt71pq8PR3W9SnrXB3IZ8I/b5VSpwPVWusl+9ptD+916v3sCwF8K9D2G15/oKLtDlrrOq11IPbnM8D4bkpbd9rv59AbaK3dO6rwtNbvAlalVHY3JuES4JXYa5pSKq/NtpmAH6Pd9/LYa18U8LPYudo+KE7C6AvwN+AnwAVAHcY99QForb3AKUCF1toZe7W730qpocDfgeuAHIwvCP9SStna7HY+cDIwEBiD0X7Zjtb6o12utds+e3EmRpNWNmAHkrXWryulzMA7GOselAD9gL9qrVcDVwIBjACQvusJlVLHAQ/E0l0QO8c/dtntdGAiMDa237QOprdTaK0bgU8wPte2Wv+Pxr7IpdHDm4v2ZW/57CXP2ynAmUqpMox/X8e1/WIc0+X3sy8E8C+BUqXUwNiD6ULg7bY77NIWfCZGO1xv8zZwSaz0dgTQpLWujHeiOptSKn9HiUopNQnj33hdN137exhVybNj38w3ADNi28zAucDtWmuv1noF+yh5xPIwDKjUWv9hl80hjA5f32B8YVgTu24T0PIdknwB8G+t9Yda6xDwCJAMHNlmn8e11hVa63qMktOh3+H8+7MAo9T9TOz3HV92JmEE7d/EvoikA5/Ftg2M/dzbPb0IeF5r/VUsSNyMUf1e0mafB7XWjVrrLcBcOjdPe6SUylFKpcd+TwZOwLhvbb3Nzlqb84CPdawHVKLoSD57w/NWa32z1rq/1roEI6Z8rLW+eJfduvx+Wva/S2LTWoeVUtcAH2D0SH9ea71SKXU3sFhr/TbwC6XUmUAY4xvSZXFL8AFSSv0do7dudqzq8g6MDiRorZ/CKF2dCqzHKKX9KD4pPTgdyOd5wM+UUmGMYHZhNz4ELwX+o7XesRLR32Lv/RGjhGuhfZv1vlbWm4IR0EKx9sRMwKOUuiq2/YnYuUdiBO7y2N/XfIf09mubBq11VClVTvt29Ko2v/tix3SWKox8/hDjIZ8Uy+t7sWv9GKOHedt76gTW7uOe9sNoRgFAa92slKrDyFNZm+vu4Iuds6sVAC/GvsiZML7kvbPLc+g54K9KqfUYz6ELuyFdna0j+Uz45+3edPf97PUBHFqrUt/d5b3b2/x+M8Y39YSltf7BfrZr4OpuSk6X6UA+n8AIbt0qVto4HzArpXYECDtGb/+xwAqMB1YRO0skxW1O4Y39dABurfUCpdRa4BGt9bNKqcuAH8e+pOzwuFIqF5gNzNdaL96lOXd/X1wqgEPa5EHF0retI3neDy9tOpvFHui7LYmotV4Qu3QJsAmYgFG9fQWx3r1t76lS6lKMZoO9qcCojdhx3RSMjkOdkacDprX+GqOD3q7vt30O+YHp3ZmuztbBfCb887YtrfUnGE0F3X4/+0IVuhDd4WwgglEiPjT2GgHMBy7RWkcwOmPdqZRyKKVG0qaTm9a6BiPIXKyMXryXA4P3dCGl1ESl1OFKKStGoPTHrr2r7UCWUiptL2meDZymlDo+dq7rMdqXP/+Oed+TbzFK1KfFzn0rxheajliEMe79QaVUijImB5kS27Yd6L9LO31bfwN+pJQ6VBnD+O7HmPOg7IBzIkQPJQFciM5xKfCC1nqL1rpqxwuj5HhRrBPLNRjVtVUYvdRf2OUcPwF+g9G+O4q9B9JUjHbjBowq8DqM9ut2tNZrMDqpbVRGL/N+u2xfC1yM0Vu/FjgDOEMb8yUcFK11E8ZEFs9ifDHxYnTq6cixkVhahgBbYsddENv8MbASqFJK1e7h2P8Ct2H03K/E+BKUiFXRQuyXLGYiRJy0qRb/XrzTIoRIPFICF0IIIRKQBHAhhBAiAUkVuhBCCJGApAQuhBBCJCAJ4EKIvYoNWfs6NpQrRRnzpu86t7UQIg4Sqgo9Oztbl5SUxDsZQgghRLdYsmRJrdZ6t0mQIMFmYispKWHx4sXxToYQQgjRLZRSe51yWarQhRBCiAQkAVwIIYRIQBLAhRBCiASUUG3gQvRI33wDjz0GGzeC1ws+H+u2nAmZmZT+fiCcfjrY9rb2hhBCHBgpgQtxoBYsMILzmDHw6qsQDkNGBgwdSnPSKJorHHDuudC/P1x/vRHghRCik3QogCulTlZKrVVKrVdK3bSH7Xal1Kux7Qtja/vu2HZz7P21Sqlpbd5PV0q9ppRao5RarZSa3BkZEqLLVVXBccfBUUfBwoVwzz2wZQvMmwfvvw///CeMGAFHHAH//rex3+OPG4H+tdfinXohRC+x3wCulDIDM4FTMNY6/kFsLeO2rgAatNZDgD8CD8WOHYmxlN8o4GRgVux8AI8B72uthwNjgdUHnx0hutjq1UZgXrgQHn0Uysrg1luNkveuFHDqqUZA37gRDjkEpk+HG280SutCCHEQOlICnwSs11pvjK0T/A/grF32OQt4Mfb7a8DxSikVe/8fWuuA1noTsB6YpJRKBY4GngPQWge11o0Hnx0hutD8+TBlCrS0wKefwrXXQkpKx44tKoJPPoGrroLf/Q5OOQVqd1vOWgghOqwjAbwQKG/z99bYe3vcR2sdBpqArH0cOwioAV5QSi1VSj2rlNrjk1ApdaVSarFSanFNTU0HkitEF5gzB048EXJz4YsvYMKE734Oux2efBKee874MnDkkRLEhRAHrCMBXO3hvV3nX93bPnt73wIcBjyptR4HeIHd2tYBtNZPa60naK0n5OTscTY5IbrWO+/ABRcYQfuzz2DgwIM73+WXw0cfGe3mZ50Ffn/npFMI0ad0JIBvBYra/N0fqNjbPkopC5AG1O/j2K3AVq31wtj7r2EEdCF6lrVr4aKLYNw4+M9/ICurc877ve/Byy/D55/DpZdCNNo55xVC9BkdCeBfAqVKqYFKKRtGp7S3d9nnbeDS2O/nAR9rY5WUt4ELY73UBwKlwCKtdRVQrpQaFjvmeGDVQeZFiM7ldsPZZxtV32+8AQ5H557/vPPg4Ydh9mz47W8799xCiF5vvxO5aK3DSqlrgA8AM/C81nqlUupuYLHW+m2Mzmh/VUqtxyh5Xxg7dqVSajZGcA4DV2utI7FT/xx4JfalYCPwo07OmxAHLhqFH/4Q1q0zqruLi7vmOjvGhz/0kFE1/9Ofds11hBC9TodmYtNavwu8u8t7t7f53Q9M38ux9wH37eH9ZcAB9AQSohvccw+8/bYxw9qxx3bddZQyxohv3gzXXAOTJhnV9UIIsR8yE5sQu/r4Y7jzTrjkEvj5z7v+ehYL/PWvRg/3iy+WTm1CiA6RAC5EWz4f/OQnUFoKTz1llJC7Q2YmPP88rFplTAwjhBD7IQFciLZuv91ok37mGUhO7t5rT5sGP/sZ/OEPxkQxQgixDxLAhdhh8WL44x/hyivhmGPik4aHH4bBg42hZW53fNIghEgIEsCFAAiF4IorIC/PmOo0XlJS4KWXoLwcrrsufukQQvR4EsCFAKPk+/XXMGsWpKXFNy2TJxsLnrzwAsydG9+0CCF6LAngQnz7Ldx9tzGxytlnxzs1httuM8aFX3ONUTsghBC7kAAuxK9/DTYb/OlP8U7JTsnJxnKlq1b1rHQJIXoMCeCib/v4Y/jXv+CWWyA/P96pae+MM4z1xO+8Eyor450aIUQPIwFc9F2RiDGV6YABxtrePY1SxkxwgQDccEO8UyOE6GEkgIu+66WXYNkyePBBSEqKd2r2bMgQ+M1vjJXL5s+Pd2qEED2IBHDRNzU3G9XmRxxhrPXdk918MxQVwdVXQzgc79QIIXoICeCib3rkEaNd+Q9/6L7pUg9USoqRzm++MaZbFUIIJICLvmjbNmOylvPPN8ZcJ4Jzz4Ujj4Q77jBqD4QQfZ4EcNH33Hmn0YHtwQfjnZKOU8qYbKaqCn7/+3inRgjRA0gAF33LunXGDGc//akxUUoiOfJIoyS+I5ALIfo0S7wTIDqouhr+9jf44gsoKIDiYuNVWgpjxsQ7dYnjjjvAboff/jbeKTkwDzwAb71l1CI89VS8UyOEiCMJ4D1ZKGQ8rF98Ed57z6j2LS6GujrwenfuN22a0Slr9Oj4pTURfPMN/OMfxjzjPW3Slo4qLTWWHJ01yxi7PmJEvFMkhIgTqULvqWprYepUmD4dvvrKmO5zxQrYvBk8Hqivh6VLjerUhQth7Fi46irYvj3eKe+5brsNXC5jXHUiu+02o2f6TTfFOyVCiDiSAN4TrVtn9I5evNgofW/ZYnS4GjXK2K4UZGTAoYcagX39emPRi+eeM0po//53fNPfEy1aZNRm/OY3kJkZ79QcnJwcI3i//TbMmxfv1Agh4kQCeE8zf74xuUhjozFP9yWXgNm872OysowpN1esMAL42WcbVcVip1tugezsnjll6oG47jro188I5FrHOzVCiDiQAN6TvPkmnHCCUcL64guj1/F3MWyYEfQnT4YZM+Dpp7smnYnmk0/go4+MGc1crninpnMkJxsd2f73P2MxFiFEnyMBvKdYswYuvhjGjYPPP4fBgw/sPGlp8P77cPLJxlCpRx7p3HQmGq2NNuN+/YzOX73Jj34EQ4caPeojkXinRgjRzSSA9wS+/2/vzsOjqs4Hjn9fwmLZEVGRRYJEEIqoRFxrwRWrJS1awLaiVUQLVlCqoGUpWBSRUkSxLQJPqWiBii0YFdzQFqus4hIBDYsSpAVRUSpNSHh/f7yTHyEmZCAzc+fOvJ/nmYfJzJ075+aG+95zznvO+dqS1erWhQULqt9HW7eu1eb79LE+36lTY1POMHrxRVi2DEaOtFprKqlZE8aPh7w8ePzxoEvjnEswD+DJ4NZb7SI8Zw60aBGbfdaubePGf/ADuOMOa0JON6owerQNvbvhhqBLEx9XXQXZ2Ta+/X//C7o0zrkE8gAetNmzbWawX/0KLr00tvvOyLAlMzt0sNr4xo2x3X+ye+45G2I3apRN3pKKRGyEwscfw+9/H3RpnHMJ5AE8SHl51i/bvbslJMVDgwY2fAogJ8fGkKeD0tp3ZiZcd13QpYmviy6CSy6x5vTdu4MujXMuQaIK4CLSU0Q2iEi+iHxj9ggRqSMi8yLvLxeRsJDv+AAAGmZJREFUNmXeuzvy+gYRuazc5zJE5C0Rya3ugYROSYkNEWvQwJq6qxoqVh0nnQTz58O6dfad+/fH77uSxcKFNgHO6NFQq1bQpYm/+++3GfoefDDokoTLvn0238Kzz1oewZQpMG6cLdv6+us2oZJzSarKqVRFJAOYBlwCFAArRWSRqr5fZrMbgc9VtZ2I9AMeAPqKSEegH9AJOAF4SUROVtXSlNkhwDqgYcyOKCxmzbIA85e/2Nzm8XbxxbaK1e23W5NrWOcCj8b+/Ra4s7Issz8ddO0K/frZuuGDBlnWvavYrl02NXFuro3YqKrVomlTG9Vx7bXW2lHTZ6B2ySGaGng3IF9VN6lqETAXyCm3TQ4wO/L8KeAiEZHI63NVtVBVNwP5kf0hIi2BK4AZ1T+MkPniCwug558Pffsm7nuHDLHvGzMGVq5M3Pcm2oIFNu/5mDHpdbEdPx6Ki+PXHRN2GzdaC9Sxx1owfvVVSwKcP9/mXfjwQwvuhYX2PDfXbnqvvNJq6D17QqtWlhSabvkkLilFE8BbAFvL/FwQea3CbVS1GNgNNK3is1OAu4BDtueKyEARWSUiq3bu3BlFcUNg3Di7UEydaklIiSJiiU7HH28107ILoqSK4mKrfZ9yitVI00nbtlb7njnTukuc+fhjuOkmm+joqafsRnbFCvjkE/td/ehHcNZZ0K6dDeGsXdueX3GFBes//Qm2b7cbw3POgUcesb+vIUO8id0FKpoAXlGEKT93Y2XbVPi6iFwJ7FDV1VV9uapOV9VsVc1u1qxZ1aVNduvWwcMPw4ABNmlLojVpYpnpH34Iw4Yl/vvjbc4cmxTnN7+Jb15Bsho5EurXt1nn0l1pa0RWlv3NDxpkNefJk+HMM6HGYeTwHnUU9O4NTz9tCwrdcANMm2b5Jfffb3M5OJdg0fwFFwCtyvzcEviksm1EpCbQCPjsEJ89D+glIluwJvkLRWTOEZQ/XFStD7pePWvuDEqPHrYIyh//aAtipIrCQrtgZ2fDD38YdGmCccwxtlzqwoU2gU26ys+3LqqxY62GnZ9vLV6xyDdp3tzWYn/3Xfu/dM89trDQihXV37dzhyGaAL4SyBKRTBGpjSWllb/qLwJKx+pcDbyiqhp5vV8kSz0TyAJWqOrdqtpSVdtE9veKqqZ+tlFuLixZYkEm6NaEe++1i86NN8K//x1sWWJl+nSrHd13X2K7JpJN6UInd96ZfgudqFqz+GmnwYYNMG+etcq0alX1Zw/XKafYjIcvv2w3j+eea91jxcWx/y7nKlBlAI/0ad8KLMEyxuerap6IjBORXpHNZgJNRSQfuAMYEflsHjAfeB9YDAwuk4GeXoqLrdbboQMMHhx0aWxikyefhD17rH8w7Bf6//7Xms27d7eM+3RWt64FkjfftCbfdFFYaElqAwZAt27wzjs2gVG8XXghvP225VyMGQPf+Y4nubnEUNXQPLp27aqh9fjjqqC6YEHQJTnY5MlWrtmzgy5J9Ywfb8fxr38FXRJVVV3z3TW65rtrgivAvn2qnTurZmaq7t0bXDkSZdcu1QsusL+BceNUS0qCKcfcuaqNG6s2aqT6/PPBlMGlFGCVVhITfSa2RCgutibrU0+1ucmTyW23WV/hkCGWlRtGn38OEyfC979vWcLOhs9NmQKbN9tQqFSWn2/nfflym1dh1KjDS1CLpb59Ye1aaNPGstgnTQp/65ZLWh7AE2HuXPjgA2teC+rCUpmMDJuLvbAQBg4M58Vm4kSbjOM3vwm6JMnlwgstc/q++6CgIOjSxMcbb1jw3rXL+qKTYejgiSfaLG5XXWV5CP37w969QZfKpaAkiyYpKJlr36XatbOhMM8+a4urhMlHH1lN88c/tt+xO9ikSTZt7/DhQZck9l55xfIdGje2/v7zzgu6RAfUq2cJdPfea0l03bvDjh1Bl8qlGA/g8ZbMte+yfvELS74ZOhS2bQu6NNEbPvzAilzumzIzrRb45JNWK0wVS5ZYE3XbtjZcrl27oEv0TSI2Lv/ppy2h7txzrbnfuRhJ4oiSAsJQ+y5Vo4bNz15UZFm8YWhKf/11q+XceWd8hgmlihEjoGVLy3coSYFBIM88A7162YiOpUvhuOOCLtGh/fCH1lrwxRcWxFN5GmOXUB7A4ykste9S7dpZf/LixfDYY0GX5tD277fWghYt4K67gi5NcqtXz87rmjU2RjrMFiywfv0uXazP+5hjgi5RdM45x24469Wz5vRnnw26RC4FhCCqhFRJSXhq32UNGmT9ism+YMOcObYM5IQJdlF0h9avH3z3u3azE6YukrL+9jfL8j7zTHjxRZu3PEzat7eku/btISfHli91rho8gMfL009b7XvkyHDUvkuVNqXXrAnXX5+cTa579thc3926WfKaq5oIzJhhXSS33BKOLpKynnnmQPBevBgaNQq6REfm+OPhtdfsZqp/f3jooaBL5EIsRJElRFQtq/vkk625L2xatbJ5o5ctg9/9LujSfNPEiTZmfcqUcN0cBa1dOxtql5tr46XD4vnn4eqrrdl88WJo2DDoElVPgwbWhN67t3UDjRoVvhsqlxT86hcPL7wAb71lGdJhXRHr2mut6f9Xv4L33gu6NAfk5cEDD1jN2ydtOXxDhtjSmbfdFo5hTS++aElgnTrZ/6uw1rzLO+ooW4d8wAC7qRo8ODlbu1xS8wAeD/ffb1m/Pw3x+iwitlpZo0bwk58kx0QUxcW2jGPDhsnZMhAGGRnWRfLVVzZ0MJm9/LJlm7dvb4G8SZOgSxRbGRm2AM/w4fD739tNaWFh0KVyIeIBPNbeeMP6uIYNg9q1gy5N9Rx7LPzpTzaGdejQoEtj6zivWAGPPGJlc0emY0cYPdpqgMm62MnSpTY1blYWvPQSNG0adInio3QOg0mT7HxceaXdXDkXBQ/gsXb//XaxuemmoEsSG9/7no0jnj4dnngiuHKsX29Bp3fvxKwwleruugvOOMOWk920KejSHOzVV22SlpNOslp40EvvJsKwYTYL4tKlNgXuzp1Bl8iFgAfwWHrvPcuWve221BradO+9NkvbzTdbIE20khL42c/sd/roo+m91nes1KoFf/2r/S5794avvw66ROa11yx4Z2amT/Au1b8/LFxoeR7nn598N1Yu6XgAj6UJE6B+fbj11qBLEls1a1rWct26lg2c6Iv9lCk21/XDDyf/rFth0rattaq8805yDC174QVr8TnxRJu5LB27Sa64wvr7d+60JM0VK4IukUtiHsBjZeNGm3nt5pvDN8FENFq0sMlT3n8/sRf7f/0L7rnHkpmuuSYx35lOLr8cfv1rm1Rk2rTgyvHXv1r/b1ZWOKZHjafzzrNcmtJZ2xYuDLpELkl5AI+V8eOtWfKXvwy6JPFz6aUHLvYjR8b/+z76yIaytW5tS55603l8jBxpwfP224NZ8OSxx2ySlrPOsv7vdA7epUpnbevc2YbRTZ0adIlcEvIAHgubN8Of/2y17+OPD7o08TVqlK0bft991rQdL199ZUGlqMgmHknFVo1kUaOG3ZS1aWOZ36tXJ+Z7Va3baeBA6NnTVhhr3Dgx3x0Gxx1nrRG9etn4/Vtu8WFm7iAewGPhvvusnzgdFtUQsUSy3r2txjZnTuy/o6TExsSuW2dNq+3bx/473MEaNz4wUcpFF1nOQTx9/bUlbd19t83T/ve/W46FO1jduraAy4gRNi9Djx6wfXvQpXJJwgN4dW3ZYmOlb7oJTjgh6NIkRkaGJT/16GHZ4c89F7t9q9qNUG6uNRteckns9u0OLTPTssCbNbPf+z//GZ/v2bjRErSeeALGjbN/wz5nQjxlZNjw1Pnz4e23oWtXyw1xac8DeHVNmGBNkMOHB12SxDrqKKs1nXqq9dFNn179xLbCQptacvJkm1py0KDYlNVFr3VrC+ItW1qz9ksvxXb/zz0H2dmwdas9HzXK57OP1o9+ZC0jdetactvkybasrktb/j+nOj7+2KalvPFGu+Clm4YNbchLjx7W/3/DDUc+5ep//mNNt7Nm2YQtnrQTnBNOsGSytm3hsstsadn//rd6+9y2zebXv+IK62tfvdpuENzh6dwZVq604XbDhllLydatQZfKBcQDeHVMmGD/jhgRbDmCdPTRtrLSqFHWlXDuuYc/AcXatbZM5Jo11kw4dqzXyoJ23HGWkX7zzTbvfOfOR1Yb37vXFus4+WTLZ7jnHmv+zcyMfZnTRZMmtjb6jBmwfLm1gs2dG3SpXAD8KnmkNm+GmTOt1tm6ddClCVZGhvVl5uZaTkCXLjaZTVWrmK1ebb+/s8+25vdly6yZ0CWHhg0tYfG112yI5CWX2HCvRYsOPZmPqt2UjR4NHTrYzd3ll1tS4vjx8K1vJe4YUpWItfytXWu/42uugZwcn70tzYgGPfvSYcjOztZVq1YFXQyTk2NTPa5fn57N55XZtAnGjLGadFGRTQl53XUHhoGJ2CxTM2faLFP16tlqZ2PHptQQvLe6vwXA6a+eHnBJYuR//7MpdadNg927LQhfeqn1xdaoAfv22Wpx27fbxCNbttjrF1xggbxHj6CPIHUVF1t/+Lhx9vzOO61VMJWmcw6Lr76CPXugefOY7VJEVqtqdoXveQA/Arm5Nl524kT7z+K+6dNPrUn9D3+wrOPyOnSwJLX+/VNnjecyUi6Alyoqgn/8w4L0woXf7H+tXRsuvtiGGfbqlV5zmQdt2zZLpn3iCatUjB1rN8d16gRdsvSwe7fldezZA2+9ZUOLY6DaAVxEegIPARnADFWdUO79OsCfga7ALqCvqm6JvHc3cCNQAtymqktEpFVk++OB/cB0VX2oqnIkRQDfuxc6dbIs7LVrffhLVfbvt1aKffvsZ1X7nZ1ySkrPrJayAbwsVWtNyciwi1WtWnZuY3Thckdo2TJb/nf1aktIvP12y2Vo0CDoklWuqMhmXty+HXbssMfOnVajLSqyESpFRdaqU7/+gUeTJtaF2bq1zaEf1DF+/rklfK5dC/Pm2cicGDlUAK/yf5qIZADTgEuAAmCliCxS1ffLbHYj8LmqthORfsADQF8R6Qj0AzoBJwAvicjJQDEwTFXXiEgDYLWIvFhun/G1f7/VDLOyDu9zEyda//fLL3vwjkaNGrb+tEs9Ium54EiyO/98y1R/4QV44AFrJRw/3rqy+va1nJMgbp5LSuzauW6dPdavt2vw5s1QUFDxMNS6da0FoXZte5SU2IiIPXvseXlNm1oOzmmn2eP00+36E8+k2F27LD8kL88m3fn+9+P3XeVEc6vcDchX1U0AIjIXyAHKBtsc4NeR508Bj4iIRF6fq6qFwGYRyQe6qeobwHYAVf1KRNYBLcrtM76GD7d+2HfftYU6orFpk2We9+1ra/Y651wyErEa4WWXWTCfNMm6sx56yGqrffpYoMnOjv0MeMXFdq1cv96CWl6eJbSuX3/wVLDHHWcVqO7dbchiZqZdi4891h5Nm1qrTkVUrUb+6ac2nPfjj60G/+GHNtnNo49a3gbYLIPnnmtLIn/nOzbiJVaVr507bfjrBx9Yl1KCh0ZGE8BbAGU7ugqAsyrbRlWLRWQ30DTy+pvlPntQtBSRNsDpwPLDKHf1DRxoJ/mGG2Dx4ujuSIcOtebC3/42/uVzzrlYOPNMa9bdvduCzLx5to7BpEl2PevSxWbG69IFWrWyR8uWNgqh/HVx/3748kv44otvBs8tW2DDBsjPP9BlBra/Tp0sN6JjR+s+69DBmr+PlIjVzFu0sMc55xz8fnGxBdVVq6xL4Z//PDBjZN26tuJbjx72OOOMww/on31mN0QPP2y/19xcO74EiyaAVxTZyrd1VLbNIT8rIvWBBcBQVf2ywi8XGQgMBGgdy+FaWVkWiH/+cwvkgwcfevsHH4RnnrEm9Ghr7M45lywaNbKk0f79rc/29ddtxbM334TZs61ZuqxatSyfofRRGrwrauquV8/6oDt0sBUE27e3R8eOdiOQaDVr2nd37GjHC1ZbXrbMFohZutTmJADLZ+ra1W4CzjrL5ixo1cpq7qU3MPv3W1P5Rx/Z72rWLBtKeemlNjqjW7fEHyPRBfACoFWZn1sCn1SyTYGI1AQaAZ8d6rMiUgsL3k+o6tOVfbmqTgemgyWxRVHe6N18s41pvfNOu3uqbNGMBx+0+bn79LGEEOecC7MmTWy1vyuvtJ9LSqwfuuzj00+tJltSYv+KWFArfRx99IEEsqOPTv6k1GbNLLmsNMFsxw6b46D0JmbqVGuWL1WvnlXW9u615LriYnu9Vi3L7r/jDpvgKEBVZqFHAvIHwEXANmAl8GNVzSuzzWCgs6reEkli662qfUSkE/Ak1o9+AvAykIVlns8GPlPVodEWNi5Z6Nu3w7e/DSedZHek5ftcJk2yAN+njw3P8AxbF4W0yEJ3LpUUFsI771hXwNat9ti2zZrcmze3jP7mza35PYbjvKtSrSz0SJ/2rcASbBjZLFXNE5FxwCpVXQTMBB6PJKl9hmWeE9luPpacVgwMVtUSETkfuBZ4V0TWRr7qHlWN4bJWUWre3Poy+vSxGaMGDDgwHGbOnAM1bw/ezjmXuurUsXyBM88MuiRR84lcSl17bcVrW3vwdkfAa+DOuVioVg08bcyYYbNH7dljGZT79tlEAX37evB2zjmXdDwylapTJ6az5zjnnHPx5KuROeeccyHkAdw555wLIQ/gzjnnXAh5AHfOOedCyAO4c845F0IewJ1zzrkQ8gDunHPOhZAHcOeccy6EPIA755xzIeQB3DnnnAshD+DOOedcCHkAd84550LIA7hzzjkXQh7AnXPOuRDyAO6cc86FkAdw55xzLoQ8gDvnnHMh5AHcOeecCyEP4M4551wIeQB3zjnnQsgDuHPOORdCHsCdc865EPIA7pxzzoWQB3DnnHMuhDyAO+eccyEUVQAXkZ4iskFE8kVkRAXv1xGReZH3l4tImzLv3R15fYOIXBbtPp1zzjlXuSoDuIhkANOAy4GOwDUi0rHcZjcCn6tqO+B3wAORz3YE+gGdgJ7AoyKSEeU+nXPOOVeJaGrg3YB8Vd2kqkXAXCCn3DY5wOzI86eAi0REIq/PVdVCVd0M5Ef2F80+nXPOOVeJaAJ4C2BrmZ8LIq9VuI2qFgO7gaaH+Gw0+3TOOedcJWpGsY1U8JpGuU1lr1d041B+n7ZjkYHAQIDWrVtXXkrnkkj90+oHXQTnXIqLJoAXAK3K/NwS+KSSbQpEpCbQCPisis9WtU8AVHU6MB0gOzu7wiDvXLLJmpIVdBGccykumib0lUCWiGSKSG0sKW1RuW0WAddFnl8NvKKqGnm9XyRLPRPIAlZEuU/nnHPOVaLKGriqFovIrcASIAOYpap5IjIOWKWqi4CZwOMiko/VvPtFPpsnIvOB94FiYLCqlgBUtM/YH55zzjmXmsQqyuGQnZ2tq1atCroYzjnnXEKIyGpVza7oPZ+JzTnnnAuhUNXARWQn8FEMd3kM8GkM95es/DhTix9navHjTC2xPs4TVbVZRW+EKoDHmoisqqxpIpX4caYWP87U4seZWhJ5nN6E7pxzzoWQB3DnnHMuhNI9gE8PugAJ4seZWvw4U4sfZ2pJ2HGmdR+4c845F1bpXgN3zjnnQiktAriI9BSRDSKSLyIjKnj/ehHZKSJrI48BQZSzOkRklojsEJH3KnlfRGRq5HfwjoickegyxkIUx9ldRHaXOZejE13GWBCRViKyVETWiUieiAypYJvQn9MojzP051REjhKRFSLyduQ4x1awTR0RmRc5n8tFpE3iS1o9UR5n6K+3pUQkQ0TeEpHcCt6L//lU1ZR+YFO1bgTaArWBt4GO5ba5Hngk6LJW8zgvAM4A3qvk/e8Bz2MrxJ0NLA+6zHE6zu5AbtDljMFxNgfOiDxvAHxQwd9t6M9plMcZ+nMaOUf1I89rAcuBs8ttMwj4Q+R5P2Be0OWO03GG/npb5ljuAJ6s6O8zEeczHWrg3YB8Vd2kqkXAXCAn4DLFnKr+A5uHvjI5wJ/VvAk0FpHmiSld7ERxnClBVber6prI86+AdUCLcpuF/pxGeZyhFzlHeyI/1oo8yicg5QCzI8+fAi4SkYqWZE5aUR5nShCRlsAVwIxKNon7+UyHAN4C2Frm5wIqvkBcFWmGfEpEWlXwfthF+3tIBedEmvCeF5FOQRemuiJNb6djtZmyUuqcHuI4IQXOaaS5dS2wA3hRVSs9n6paDOwGmia2lNUXxXFCalxvpwB3AfsreT/u5zMdAnhFdzzl7wifAdqo6qnASxy4a0ol0fweUsEabOrBLsDDwN8DLk+1iEh9YAEwVFW/LP92BR8J5Tmt4jhT4pyqaomqnga0BLqJyLfLbZIS5zOK4wz99VZErgR2qOrqQ21WwWsxPZ/pEMALgLJ3eC2BT8puoKq7VLUw8uNjQNcElS2Rqvw9pAJV/bK0CU9VnwNqicgxARfriIhILSyoPaGqT1ewSUqc06qOM5XOKYCqfgG8CvQs99b/n08RqQk0IsTdRZUdZ4pcb88DeonIFqxb9kIRmVNum7ifz3QI4CuBLBHJFJHaWDLBorIblOs37IX1w6WaRUD/SOby2cBuVd0edKFiTUSOL+1nEpFu2N/4rmBLdfgixzATWKeqkyvZLPTnNJrjTIVzKiLNRKRx5Pm3gIuB9eU2WwRcF3l+NfCKRjKgwiKa40yF662q3q2qLVW1DRZTXlHVn5bbLO7ns2Ysd5aMVLVYRG4FlmAZ6bNUNU9ExgGrVHURcJuI9AKKsTuk6wMr8BESkb9g2brHiEgBMAZLIEFV/wA8h2Ut5wNfAz8LpqTVE8VxXg38XESKgb1Av7BdBCPOA64F3o30JwLcA7SGlDqn0RxnKpzT5sBsEcnAbkDmq2puuevQTOBxEcnHrkP9givuEYvmOEN/va1Mos+nz8TmnHPOhVA6NKE755xzKccDuHPOORdCHsCdc865EPIA7pxzzoWQB3DnnHMuhDyAO+eccyHkAdw555wLIQ/gzjnnXAj9H3D6pDX+gVZqAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the sample \n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full) # <------ the variance is the aquisition function\n", + " \n", + " # This plots the objective function, with magenta where we want to sample next.\n", + " # Red X dot for global maximum\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Fdt3c-nt7jLz" + }, + "source": [ + "Now we'll combine exploring and exploiting via Upper Confidence Bound" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4619, + "status": "ok", + "timestamp": 1615738097265, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "z0ioUXu97kbR", + "outputId": "7a319c30-82d6-4427-f65f-a38e9616102c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2250322560.755783\n", + "0\n", + "2593018611.292456\n", + "0\n", + "2524041261.8341146\n", + "0\n", + "2944373507.285777\n", + "0\n", + "4862075733.544237\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 5\n", + "\n", + "Dsize = len(X_grid)\n", + "BO_lambda = .1\n", + "BO_number_of_iterations = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # Find the next sample \n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1214, + "status": "ok", + "timestamp": 1595534859890, + "user": { + "displayName": "Gilad Kusne", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjREbBmx-qD5T-UVzslvjchdeEN6H0TpFeyVoZGeA=s64", + "userId": "18167624870584705760" + }, + "user_tz": 240 + }, + "id": "duRZYlx17pz-", + "outputId": "d328c68a-4215-44b1-f44a-ea6e601930ff" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Sample the Gaussian Process!\n", + " alpha_full = np.random.multivariate_normal(mean.ravel(), Cov, 1).T\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kkrpEROO7yro" + }, + "source": [ + "BO-LCB using built in function\n", + "We're looking for the Minimum Now!" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "id": "3Ps5D_XO71Ba" + }, + "outputs": [], + "source": [ + "from GPyOpt.acquisitions import AcquisitionEI, AcquisitionLCB, AcquisitionMPI" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 89708, + "status": "ok", + "timestamp": 1594652301998, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "u-cukiKr7169", + "outputId": "b2638e7a-451e-4154-d1aa-53c7b53316cd" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2876221358.1224165\n" + ] + }, + { + "data": { + "image/png": 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\n", 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r2LJ+dUsnvGGj6lm/cikbV2cPzw8ePrIlwO/7+udYu3xJS8u9unYMI+rGM27KkcWqYsEUPcDNrB/wG+A6d9/azvqZwEyAurq6Li6dSOec/4mvsGbpQiYeeWyxiyJSUl76+8OsWbqQEWMP3K0TW6Yneu4tat951kW886yLgHB4fseWTezYuqllffXIOrZuWMdb81/mpb89TDqdon7y4Xzy278A4K5//xhNDbuorh3TEvC19QdRO+6gLqx1fhQ1wM2sjBDe97r7b9vbxt3vBO6EcA68C4snsleb161mQPVwBg0dsU9P6hLp7TK9zHMvI7v66/d06jIyM6PfoCH0GzSkZdlpF1/bMp1KJdmybjXNObclHlA9gtVL3mDuM0+wbdN6AA4/6Uw+/MX/AeDW6y6iT/9B2UP0tWMYOW4iQ2pG56fCeVTMXugG/BCY5+7/U6xyiOyrhp3bue36D3HgYTO46Pr/LnZxREpW26DuP7g6L5ePxeOJ3YL3wutuapluatjFxjUrWq4CSTY30W/gEDasWc6iV56lcecOAE6+4ErO/ujnaNy1k+997tLs5XG1Y6iuGU3tuImtzvN3lWK2wI8FPgy8YmYvRsu+6O4PFbFMIp32++/9J5vWruQdp7+/2EURkX1QXllFzdgDW+YTZeVc8R/fBaLD81s3sXH1cvr0HwRA487tVPbpx7IFr/Lyk4+Sju5u976r/43jz/sw61e+xdq1/akbVdsl5S9mL/QnAV38KiXppb8/wrOP/JZ3/+vHe2TnGJHezszoN3BIS8c6gAHVw7nqlh8B0eH59WvYuHo51bVjAGhq3EV1dde1xIveiU2k1KxbsZRffftLjDloKu+5+JpiF0dEiiAeT4T7xI8Y1bJs5LiJxLvwMtHY3jcRkVxNDbsYOHQ4F9/wPy13pxIR6WpqgYt0UuYOaqMOOJjrv/dAq6c/iYh0tV77DbTgugX0+9b6YhdDSoS7c983Ps+sO2/B3RXeIlJ0vfZbaPuL20m80bj3DaXXc3cevudWnv/LH6jqN0APHhGRbkGH0EX2YOWb8/nDnV9n/pwnmXHa+Zz6wauKXSQREUABLgKEjmkWi5EoK29pYTc3NXLH5y4jlUpy7sdu4LjzLlbrW0S6DQW49GrJpiZm/eDrPDXrZ2QerZsor+DL9/2NvgMGccm/f4fa+gn0HTC4yCUVEWlNAS7d2vzZTzLrB7dw8Re+1e7DBlLJZpoaG6jq23/f3n/Okzz5wE95x3svoLpmDMnmRpqbGqmo7APAgYfO2K/yi4gUigJcuqWd27bwwPdv5rlHf0vN2AkMrwtPI/rTj79NPFFGZd/+LHjhHyx8+VmOOeMDnDPz86SSzaxcPJ8xB03d6/tvWLWM6toxTDnmXVz/vd8z6oBJha6SiEheKcCl23n1H4/zq1u/wo7NGznloo/xnouvIR5P4O6sXrqQV556DAiPDTzi5LM4+KgTAJjz51n84ltf5ODpx3PaJZ9k7MGH7vbeyeYmfv+9/+LZR37D9d/7PSPqDlB4i0hJUoBLt5JOp3nygXsZMHgoH/3q9xk9YUrLOjPj8i/fxoZVywBa7j+ccejxp7Ft0wae+M3dfOeTF3D0ey/kzCuvp++A8CCCzevX8JOvfpKl817k5AuuZOiosV1XMZEu4u6kHdLupNLR4E46mk47rZalPTMdXpvKeX067XhmOhp7e2PC2HPmo//C8sx6iJbnrM9d1kmGEf0XzRPNG2btz5uF6VhmmYVlscwYsFiYj5lhhHEsZ1ks2j4sC9PxzHTMiJvx1sadHDRi307pvV2W6bhTCqZPn+6zZ8/Oy3u9cNILrNvWyGs3D9n7xlJwTY0NNDfuou+AwTTs2E6ivJxEWfk+vVfDzu088tPb+Pvv7qF+yhFc+62fsfiV2fzka5+icddOLvrMfzHthPfmuQYirWXCMJkKQ3M6HaZbxk4ylY7G0fKc6VQ62ibtpHKWZZa3N52KQrurxHJDMArGWHSlRtvpTIhCbsDuHsbZDdrhrUYtHU+zPwKyy1t+PLSZTpP9oZH74yNfJtX050/XnZC39zOzOe4+vb11aoFL0W3btJ67v3INsViMa751L5V9++3X+1X26ce5H/sC0089l2RzMwCv/vPPVPbpx8dv+TE19RPyUWzpIdLuNKfSNCfDuCmVDvOp7Hwy5dE42i7deptkZpzOmU+n9zkY4jEjETMScSMRixG3MB2PhaEqESMRy86H7cN2uctaWogxI5FpJe6h9djS0oyFMI5b7thaB3YPuqQyE/LtHWFIOy1HKnKPTKSddo9i/MsRo/b6efmiAJeiWjL3BX7639ezffMGPvT5b+T1FqW557bPvPJ63v2hq/e5t7p0L6m005QM4dqUTLeezhk354wbc+dT4fWZ0O0sMyiLxShLWBjHYyTiRnkiRt+KOIl4jLKYhXHcsvOx7HxuMIdxzvIoYHtSOJYCyzlkvr+OPXDo/heokxTgUhSpVJLH77uDx+79LgOH1XDNN39K3cTdO53lSzyeUHh3A+5Oc8ppTKZojII3M25KpmlMpbLTydbh3Jgz3dnDxGVxozweoywRozwehv6VZWFZFLxl0fKyeBTMufNxi5aH6UxLVKQ7UIBLUSSbGpnz51lMO+kMzv/ElxWuJSLT8s0EcGPOdFNz6/lsQKdahfHeotcMyuMxKhIhOCviMfqUxxnUp4yKRDwEcSJniLceZ4K5PB5T2EqPpgCXLrV03kuMOmASFVV9+dSt97f0EJeu4e4trduGZIrGtqHbnJ1uaG7dSm5MpmhO7Tl+DShPhPAN4zgDKstallUk4m3WZ7fLzCd0CFmkUxTg0mVe/H8Pce8tn+PE8y/nrJzLu+TtSaWjQ9DNrYO4oSWEs2HckAyHpDNh3JhM7/X9K6IgrSwLoZpp+VaUZUO4IieQM8vV6hXpWgpw6RJP/eE+fnvbTYybciSnfOCjxS5O0SXT6WwAN2eDtyF3nBvMzZ1vBSdiFsK1LARtn/I4Q/qW7xa4FYk4lWU5gVymABYpJR0GuJn91N0/bGafcvfvdGWhpOdwdx6993Yeuef/mHL0yXz4xm9TXlFZ7GLlRTKVbh24zak2gbx7qzgTxnvr+VwWt1YB27YVXNkyvXsIJ/LYk19Euq89tcCPNLOxwBVmdg9tLq13940FLZmUtHQqRSwep7mpkb/97h6mn3oeH/j014gnyopdtBbu4dre3NZtQ3Pr88G7BXDOoei99YQuj4dAzYRtCOHKbODmrKts0zKOx9QKFpE921OA3wE8DIwH5tA6wD1aLsKqN99g5Zvzady5g8ZdO8L84te5/nu/p7yiko/9112MnjA1r9d4Q3Snq7S37g2de1446hm927nhKIg70yM6cy44c863ul8FlTmHp1utL4tn18VjxBTCIlJAHQa4u98K3Gpm33P3j3dhmaQE7Ni6maq+/YnF47zwxB95/Od3tKyr6NOXI04+i6aGnVRU9e3w+u7ca4KzPZ1bX3aUmc9eopQ9DN2UTJPay62uWs4HRy3cPuVxBvcpbzncXJmIU55pASdat5h1PlhEurO9dmJTeEuuHVs388Sv7+bJB37K+Z/6Tw5+53uYetoHqT/2HCirxBPlpK2M5pTz/MoGGpM7Wt2Uo1VAp/Z+q8m4hWt6cw8v969MtOqk1V7nrMzyRFzng0WkZ1Iv9F5m6esvs3blchqammhsTtF3aC2jJk7b/baU7dwVa+uWLWzdthUbcTI1nziTpzzGU0+9mfPuO6MhK3v9b7jMqF9lgiGJ8lbLKuKtwzf3NQpgEZH2KcC7ucx53uboYQrNUci2PHQhGZa3ve9z2/tCN6ecnbsaSFkFZhOgjDDsBF5YsdvnxmPWcmerikSMzauWsnnlm1RVVnDglGkMqa5uCd/MHbHa3pxDh6BFRAqn1wX47bffzgUXXNAyv23TBl76+8Mcd86H9vu9U9GTiHKfTtScyi5rO515ulFTzrpMOOdu29lnLcSiW1CW5QRoZSLecu/n1QsXs3PzWg4+7CgqysuoLC+jT1UlfauqaNqxiV/e/BnWL1tAunEnRprqmjG899JPcfg7z2Tus2+ytjnFCe97P7F4fL//ViIisn96VYDffvvtXHvttXz3u9/l+/1+yM5djXzn+ivYuHwx67Y2cPApF7Q8nSiZav1YwGTKaWxuJuXW8sjA5ugZvc0pp7kTPZrbKs88ySjzsISYUVUeZ2C8rNWDFDIPXMg8mKHlAQy5D2JIWLvX/6aSzaxf+RYj6g7AJw3H3dvvDT64ii/cdh/rVixh+YK5rHlrIWveWkTfgYMBmDzjRCbPOHEf/uoiIlIIRQ1wMzsd+A4QB+5y95sL+XkXXHAB3/3ud5k7dy4vxGeTctiYXkxZdR1vDjiUt+auaV0+HEun8OYGko07SDXspKqqipFjx1FVVsaGFW+S3LKB7etXsmvLBtLNDUw8bAaHvOOElsBN5D7RKGe6kPd7TjY3seatRaxYOJc5f57F8kXz+OKPHqHvgMF7/cxho+oZNqq+IOUSEZH8KVqAm1kcuB14N7AceM7MZrn73EJ95vDhw/nrX//K1KlTSa1LhoWxOMQTrPnFjXiykdq6cVx98w9JxGL879XnsXLx6wypGU3dxEOprZ9A7fCDmHr4aBp37eSGz17BgOrh1E86nPrJ0xhSM5qDpx9PeWUVi1+ZTTxRRt2kwwpVnXa99LeH+dnNnyGVbAbCJV3nfuwG+g4Y3KXlEBGRwipmC3wGsNDdFwOY2S+Ac4GCBXh7Kqv6cMFHrqXfoGpisTgVVX2oSIRzvBdc91Wqa0bTb9CQ3V5XUdWHWx58mbLyinbf96Eff5vFrzzHsNH1VFT1pbJPP8ZNOYL3XnYdAD+7+TNs37SB4XXjedeFH+UdLz/HcT/6H/qvW8W2YbU8efmnmXfymezcupnyqj6UlVe023pOpZK88NcHGTi0hgnTjqamfgInnn8Zow6YzKgDDmboyLE6Zy0i0gMVM8BHActy5pcD7yjkB65du5aTTz6ZdevWUVZWRtqhYcc2Hr33u1z99XvoP7i61fZjD27/BiQZHYU3wEe+egf/7zc/Zs1bi2jYuZ3GXTto3JW9xKpx53YaG3byzz/+kvo//JwbDCpTKQAGrF3Ju775BX733a9x17bNAAwfM54v/PBPANx7y2dZvWQBZRWVbN24jo2rlzP91HOZMO1oRtQdwFlXfmaf/j4iIlI6ihng7Z2M3a0fmJnNBGYC1NXV7dcH/upXv2Lu3LlMnjyZowYdxfrtjYzYciBrli7MW0/0jMo+/Tjtw9d2uP7Km8KdyzauXs7VM8+ismFX69enknylcRfrPnYDyeYmKvr0bVk3aFgtDTu20dTYwLBR9Zwz8/NMfeepeSu7iIh0f8UM8OXAmJz50cDKthu5+53AnQDTp09/ux29W7nmmmuA0JltxYUrSCTSXP31e/Ie3m/HkJrR1DQ2tLtuZHMTJ55/2W7Lz7zi0wUulYiIdHfFvM3Vc8AEMxtnZuXARcCsQn/oNddcw/Dhw1vm+w+uLlp4Z2wbVvu2louIiBQtwN09CVwLPALMA+5399eKVZ5ievLyT9Pc5hnZzRWVPHm5WtoiItK+ol4H7u4PAQ8VswzdwfxTzgbYrRd6ZrmIiEhbvepObN3Z/FPOVmCLiEin6VFPIiIiJUgBLiIiUoIU4CIiIiVIAS4iIlKCFOAiIiIlSAEuIiJSghTgIiIiJUgBLiIiUoIU4CIiIiVIAS4iIlKCFOAiIiIlSAEuIiJSghTgIiIiJUgBLiIiUoIU4CIiIiVIAS4iIlKCFOAiIiIlSAEuIiJSghTgIiIiJUgBLiIiUoISxS6AiIgUR8yMeAzisRiJmBGLGXGDeMt0dpxZFjOIm2EWpmNmxGJE84ZF72tGGIimCdsALfN745mxg7vjmWmc6D/S7qQ9jHFIpb1lmUfjlDvuTirtLetT6bA8lUqTckil02FZOk0y7bjvoWDdhAJcRKSbiZlRljDKYjHK4kZZIkZZPJqOx0jEcqZblmXnM+vj0bJ4zEjELBpn52OxzsRo75RKO8l0Oho7yVSYT6bCdHM03ZxKR+vTNKecRBf+TXttgPeb1o9Va4pdChHpKeIxozwRo+y/FN4AACAASURBVDweC+NEjIo285npsnhYV5YzXx6PUZYwyuMxEnGd3Sy2eMyIx+LFLsYe9doAn/DtCbwwexls2lXsoohIkZnREqoVZfEwTsSoSMSpKMuZzlneEtDRWKErXa3XBriI9CwxMyrKYlRGIVxZlg3dyrLW44pEzvoooDPnZ0VKhQJcRLqV8ihoK8tiVEYBW5mIZ5flhnFZ6zAW6U0U4CKSd7mt4RC8UciWxduEcuv1lYm4OlaJdJICXEQ6VBa37GHnTNDmhHJFbms5J5x1SFqk8IoS4Gb2DeBsoAlYBFzu7puLURaRni5mFh1izh52zhySrsg5X9w6kENQq2OWSPdVrBb4Y8AN7p40s1uAG4DPF6ksIt1eIhYdkm6vE1ZOz+m254cro97SItLzFCXA3f3RnNmngfcXoxwiXaUsbq16PJe3uiwpLC+Px3brlFWhS5REpAPd4Rz4FcAvO1ppZjOBmQB1dXVdVSYRIFwfnLkBRyZ4M+GbuSlH2+UVidYhXZ4Id74SEcmnggW4mT0O1LSz6kZ3fyDa5kYgCdzb0fu4+53AnQDTp08vgbvTSrFlbsqRe9er7J2wrNWdr1rfMSserbOW8C2LmzpjiUi3VLAAd/dT97TezC4FzgJOcS+F28ZLIWTCNnNf59xbSraaj2fvCZ07X54znwlmha6I9AbF6oV+OqHT2onuvrMYZZDOi5lFD0yIHpKQiFEWMxJtgjcRj+7jHIsevhDLCeJoOhHbPaBFROTtK9Y58NuACuCxqKX0tLtfVaSylLRMuCbaBGp7TyZKxLPBm4iHJx0lWgI4u77tE47UgUpEpPspVi/0A4vxuV3JjJbwyw3TTGh2HKYhcNt7RGA81jp0Fa4iIr1Xd+iFXjQViRgDqspahWZ5J1qtmUPBe2rVJmI6DysiIoXTqwP83Gmjil0EERGRfaLjryIiIiVIAS4iIlKCFOAiIiIlSAEuIiJSghTgIiIiJchK6S6mZrYOWJrHtxwKrM/j+3VXqmfPonr2LKpnz5Lveo5192HtrSipAM83M5vt7tOLXY5CUz17FtWzZ1E9e5aurKcOoYuIiJQgBbiIiEgJ6u0BfmexC9BFVM+eRfXsWVTPnqXL6tmrz4GLiIiUqt7eAhcRESlJvSLAzex0M5tvZgvN7AvtrL/MzNaZ2YvR8JFilHN/mNndZrbWzF7tYL2Z2a3R3+BlMzuiq8uYD52o50lmtiVnX36pq8uYD2Y2xsz+ambzzOw1M/tUO9uU/D7tZD1Lfp+aWaWZPWtmL0X1/I92tqkws19G+/MZM6vv+pLun07Ws+S/bzPMLG5mL5jZg+2sK/z+dPcePQBxYBEwHigHXgImt9nmMuC2Ypd1P+t5AnAE8GoH688A/gQYcDTwTLHLXKB6ngQ8WOxy5qGetcAR0XR/YBXw1N72KXAH8O97eN8vAncVqMxfI1z/uno/6vlGO/9/7nGf7q3O3WGI9lG/aLos2ldHt9nmauCOaPoi4JfFLneB6lny37c5dfk0cF97/z67Yn/2hhb4DGChuy929ybgF8C5RS5T3rn734CNe9jkXOAeD54GBplZbdeULn86Uc+iM7MnzGyTmVXs63u4+yp3fz6a3gY8C3ylzWa77VPgP9z9q1E5TjKz5W3e97/cPe8tHjMbA1xPCN+azr6unXrOAzp8zm/UenuyzXtclalzdxXto+3RbFk0tO2AdC7wk2j618ApZmZdVMS86GQ9ewQzGw2cCdzVwSYF35+9IcBHActy5pfT/hfE+dFhyF9HX0Y9TWf/Dj3BMdEhvD+Z2ZSu/ODoMNnxhC+tc/L4nocTWjO5utM+HQtscPe1+/oGe6gnRPuU0OLps6+fUUzR4dYXgbXAY+7e4f509ySwBaju2lLuv07UE3rG9+23gc8B6Q7WF3x/9oYAb+8XT9tfhH8A6t39UOBxsr+aepLO/B16gucJtx48DPg/4Pdd/PmXAE8DPwYuzV1hZtVmNsvMtkbnCb+aaU2aWb2ZuZklcrZ/wsyuAX4DPAA8FC03M/tf4N3Aw9EX4dToZV82s6+ZWV/C4fWRZrY9Gkaa2VfM7Gc5n3FOdK5yc/R5k3LWLTGzz0TvvyU6n1fZtsJmdirwWM5n/bi91n/0fqdG018xs/vN7B4z22Zm86LyXufuW6Nz47+1cPvk3xJaMBcBBwOHR5+zOXqvH5vZ13I+56PReceN0d97ZM46N7OrzGxBdJTk9q5q5bp7yt2nAaOBGTn7rKV47b2s8CXLr07Us+S/b83sLGCtu8/Z02btLMvr/uwNAb4cyP2FNxpYmbuBu29w98Zo9gfAkV1Utq60179DT+DuWzOH8Nz9IaDMzIZ2YREuAe6NhtPMbETOutuBBsJ53yuiYU8M+Hj0XrlfFO8h9AW4D/go8AFgA2Gf7gRw9x3Ae4GV7t4vGlrtbzM7CPg5cB0wjPAD4Q9mVp6z2YXA6cA44FDC+ctW3P3xNp+12zYdOIdwSmsoUAFUuftvzSwOPEh47kE9MBL4qbvPA2YCjYQAGNT2Dc3sXcB/R+Wujd7jF202Ows4Cjgs2u60TpY3L9x9M/AE4e+aq+X/0eiH3EC6+emiPemonj3k+/ZY4BwzW0L49/Wu3B/GkYLvz94Q4M8BE8xsXPTFdBEwK3eDNueCzyGch+tpZgGXRK23o4Et7r6q2IXKNzOrybSozGwG4d/4hi767OMIh5Lvj36ZLwL+NVoXB84HvuTuO9z9VfbQ8ojqMBFY5e7/02Z1M6HD1yuEHwyvR5+7Bdj1Nor8AeCP7v6YuzcD3wSqgHfmbHOru690942EltO0t/H+e/MkodX9g2g682NnBiG0Pxv9EBkEPBWtGxeNO9qnHwLudvfno5C4gXD4vT5nm5vdfbO7vwX8lfzWqV1mNszMBkXTVcCphP2WaxbZozbvB/7iUQ+oUtGZevaE71t3v8HdR7t7PSFT/uLuF7fZrOD7M7H3TUqbuyfN7FrgEUKP9Lvd/TUzuwmY7e6zgE+a2TlAkvAL6bKiFXgfmdnPCb11h0aHLr9M6ECCu99BaF2dASwktNIuL05J908n6vl+4ONmliSE2UVd+CV4KfCou2eeRHRftOx/CS3cBK3PWe/pyXrHEgKtOTqfOATYZmZXRetvi957MiG4l0Xz176N8o7MLYO7p81sGa3Po6/Omd4ZvSZfVhPq+WHCl3xlVNc/RZ/1EUIP89x92g+Yv4d9OpJwGgUAd99uZhsIdVqS87kZO6P3LLRa4CfRD7kY4Ufeg22+h34I/NTMFhK+hy7qgnLlW2fqWfLftx3p6v3Z4wMcWg6lPtRm2Zdypm8g/FIvWe7+wb2sd+CaLipOwXSinrcRwq1LRa2NC4G4mWUCooLQ2/8w4FXCF9YYsi2Supy32BGN+wBb3f1JM5sPfNPd7zKzy4CPRD9SMm41s+HA/cDf3X12m9O5e/vhshI4JKcOFpVvRWfqvBc7yOlsFn2h7/ZIRHd/MvroeuBNYDrh8PaVRL17c/epmV1KOG3QkZWEoxGZz+1L6DiUjzrtM3d/mdBBr+3y3O+hBuCCrixXvnWyniX/fZvL3Z8gnCro8v3ZGw6hi3SF84AUoUU8LRomAX8HLnH3FKEz1lfMrI+ZTSank5u7ryOEzMUWevFeARzQ3geZ2VFm9g4zKyMEZUP02W2tAarNbGAHZb4fONPMTone63rC+eV/vM26t+cNQov6zOi9/43wg6YzniVc936zmfW1cHOQY6N1a4DRbc7T57oPuNzMplm4jO+/CPc8WLLPNRHpphTgIvlxKfAjd3/L3VdnBkLL8UNRJ5ZrCYdrVxN6qf+ozXt8FPgs4fzuFDoO0gGE88abCIfANxDOX7fi7q8TOqktttDLfGSb9fOBiwm99dcDZwNne7hfwn5x9y2EG1ncRfhhsoPQqaczr01FZTkQeCt63Qei1X8BXgNWm9n6dl77Z+DfCT33VxF+BJXioWiRvdLDTESKJOew+HHFLouIlB61wEVEREqQAlxERKQE6RC6iIhICVILXEREpAQpwEWkQ9Elay9Hl3L1tXDf9Lb3thaRIiipQ+hDhw71+vr6YhdDRESkS8yZM2e9u+92EyQosTux1dfXM3v27GIXQ0REpEuYWYe3XC7YIXQzO93M5keP9ftCO+srLDyecKGZPdPmYQMiIiKyBwUJ8Oi+x7cTHjE4GfhgdOvIXFcCm9z9QMLDHm4pRFlERER6okK1wGcAC919cXRbxl8A57bZ5lyyj1P8NXBK5jGQIiIismeFCvBRtH5s4nJaP6Kw1TbuniQ8ErG6QOXZzYLrFrDgugVd9XEiIiJ5VahObO21pNt2d+/MNpjZTGAmQF1d3W4v2FfbX9yet/cSERHpaoVqgS8nPFc4YzThOb3tbhM9qWkg4aHnrbj7ne4+3d2nDxvWbk96ERGRXqdQAf4cMMHMxkXP7b0ImNVmm1lkn4f8fuAvXkoXpYuIiBRRQQ6hu3vSzK4FHgHiwN3u/pqZ3QTMdvdZwA+Bn5rZQkLLW8/sFRER6aSC3cjF3R8CHmqz7Es50w3ABYX6fBERkZ5M90IXEREpQQpwERGREqQAFxERKUEKcBERkRKkABcRESlBCnAREZESpAAXEREpQQpwERGREqQAFxERKUEKcBERkRKkABcRESlBCnAREZESpAAXEREpQQpwERGREpT3ADezIWb2mJktiMaDO9guZWYvRsOsfJdDRESkJytEC/wLwJ/dfQLw52i+PbvcfVo0nFOAcoiIiPRYhQjwc4GfRNM/Ac4rwGeIiIj0aoUI8BHuvgogGg/vYLtKM5ttZk+bmUJeRETkbUjsy4vM7HGgpp1VN76Nt6lz95VmNh74i5m94u6L2vmsmcBMgLq6un0proiISI+zTwHu7qd2tM7M1phZrbuvMrNaYG0H77EyGi82syeAw4HdAtzd7wTuBJg+fbrvS3lFRER6mkIcQp8FXBpNXwo80HYDMxtsZhXR9FDgWGBuAcoiIiLSIxUiwG8G3m1mC4B3R/OY2XQzuyvaZhIw28xeAv4K3OzuCnAREZFO2qdD6Hvi7huAU9pZPhv4SDT9D+CQfH+2iIhIb6E7sYmIiJQgBbiIiEgJUoCLiIiUIAW4iIhICVKAi4iIlCAFuIiISAlSgIuIiJQgBbiIiEgJUoCLiIiUIAW4iIhICVKAi4iIlCAFuIiISAlSgIuIiJQgBbiIiEgJUoCLiIiUoLwHuJldYGavmVnazKbvYbvTzWy+mS00sy/kuxwiIiI9WSFa4K8C/wL8raMNzCwO3A68F5gMfNDMJhegLCIiIj1SIt9v6O7zAMxsT5vNABa6++Jo218A5wJz810eERGRnqhY58BHActy5pdHy0RERKQT9qkFbmaPAzXtrLrR3R/ozFu0s8w7+KyZwEyAurq6TpdRRESkJ9unAHf3U/fzc5cDY3LmRwMrO/isO4E7AaZPn95uyIuIiPQ2xTqE/hwwwczGmVk5cBEwq0hlERERKTmFuIzsfWa2HDgG+KOZPRItH2lmDwG4exK4FngEmAfc7+6v5bssIiIiPVUheqH/DvhdO8tXAmfkzD8EPJTvzxcREekNdCc2ERGREqQAFxERKUEKcBERkRKkABcRESlBCnAREZESpAAXEREpQQpwERGREqQAFxERKUEKcBERkRKkABcRESlBCnAREZESpAAXEREpQQpwERGREqQAFxERKUGFeB74BWb2mpmlzWz6HrZbYmavmNmLZjY73+UQERHpyfL+PHDgVeBfgO93YtuT3X19AcogIiLSo+U9wN19HoCZ5futRUSk0NJp2LoVNm8O4y1bwnjrVti+vfWwc2froaEhDI2NYdzUFIbm5jBOJiGVCkMyGT7LPQwZZmGIxcKQSIQhHoeyMigvD0NZGVRUQGUlVFVlx336QN++2aFfP+jfPzsMHJgdBg0Ky0o0rwrRAu8sBx41Mwe+7+53duWH95vWrys/TkSk6zU3w/r1sGYNrFsXpjPj9eth40bYsCGMN24Mob1lS+tA7Uh5eQjIPn2yQyZIBw8O4ZoJ2sw4E8SZcSyWDWyzbJi7h3BPp7Nhn0yG+mR+DDQ1ZX8obN8e6rVrV/ghsWNH9gfF3sTjIciHDAlDdTUMHZodhg2D4cOzw4gRod7dwD4FuJk9DtS0s+pGd3+gk29zrLuvNLPhwGNm9rq7/62dz5oJzASoq6vbl+K2a8K3J+TtvUREutS2bbByZeth9erWw5o1IZzbYxZCtro6DLW1MHlyWDZoUBhnWqkDBoRxpgXbr18IsLKyrq3zvkilQrhv2xaGzJGEzA+VzZth06YwZH7ErFkDr70WfuDs2NH++/bvDzU1YRg5MjuMGgXjxsHRR3dJ9cw780trX97Y7AngM+6+1w5qZvYVYLu7f3NP202fPt1nz1Z/NxHpwXbsgLfegmXLwvDWW7B8eeth69bdX9enTwjimprQSqypad1yHD4826IcPDi0PGXPdu3KHsFYuzaM16zJ/khatSoMK1aEFj/AtGnwwgt5K4KZzXH3djuEF+UQupn1BWLuvi2afg9wUzHKIiLSpbZvhyVL4M03wzh3WLp091azWQjm0aPh4IPhlFNCSy8zjBwZ1pfwudxuq6oKxowJw564hx9VK1eGw/pdJO8BbmbvA/4PGAb80cxedPfTzGwkcJe7nwGMAH4XdXRLAPe5+8P5LouISJdzD1/kixZlh8WLw/Dmm6Ell6uqCurrYexYOOqoMK6ryw4jR5bG4erezCx7yqErP7ZQh9ALQYfQRaRbcA+HTt94AxYsCMPChWG8aFE49JoRj4cW3AEHwPjxYRg3Lgz19eGQtlrO0oFudwhdRKQkbN0K8+eHoM4dL1jQuoNTeXkI6AkT4D3vCdOZYexYtaClIBTgItK7pdOhY9jrr8O8eWE8f34Yr1qV3S4WC63mgw6CE08M4wkTwjBmjDqFSZdTgItI75BMhsPbc+eGYd68bGBnehBDuIxq0iQ47bTQaWzixDAccEBoaYt0EwpwEelZmprCIe5MUGeG+fPDTUAyxowJ1z4ff3wI7EmTQmDrnLSUCAW4iJSm5ubQcezVV8ONNzLDggWhtQ0hiMePhylT4KyzskE9aVK4IYlICVOAi0j3lkqFy68yQf3qq2HIbVGbhUPcU6bA+94XxpMnh0PfVVXFLb9IgSjARaR7yFw//eqr8Mor2aCeO7f1ZVljx8LUqXDmmSGop0wJh7779Cle2UWKQAEuIl1v06bWQZ0Zb96c3aa2NgT1VVeF8dSpoVWtQ98igAJcRApp587Q07ttWK9cmd1m4EA45BC46KIQ0occElrV1dXFK7dICVCAi8j+SyazHcpyg3rhwuyjKSsqQgv61FOzLeqpU8M9vtXrW+RtU4CLSOe5hydkZc5PZ4J63rzsQxxiMTjwwNCS/uAHw/iQQ0Ins4S+ckTyRf83iUj71q1rHdSZIfdRlqNGhXA+9dQwnjo1XKKlnt8iBacAF+ntNm/OXp6VO859ataQISGgL744G9RTp4a7lolIUSjARXqLrVvDJVm5Nz157TVYsSK7Tb9+oQPZ2WeHgJ4yJQT2iBE6Ty3SzSjARXqaLVvCOencsJ47N5y7zqisDIe6Tz452+t76tRwe9FYrHhlF5FOy3uAm9k3gLOBJmARcLm7b25nu9OB7wBx4C53vznfZRHp0TZsyD6UIzNu26LOBPUJJ2RvejJlSngOtZ6eJVLSCtECfwy4wd2TZnYLcAPw+dwNzCwO3A68G1gOPGdms9x9bgHKI1K6Mo+6zDw5K3dYvz67XZ8+4W5k73pXuFQrM4wbp6AW6aHyHuDu/mjO7NPA+9vZbAaw0N0XA5jZL4BzAQW49E4NDeEhHK+/vvuQ+6jLwYNDMJ93XmhZT54cxjr0LdLrFPoc+BXAL9tZPgrIOSHHcuAd7b2Bmc0EZgLU1dXlu3wiXSedDoe333gjPIgjd1i6NHvDEwj3+544ET760dCyzjzqcvhwdSYTEWAfA9zMHgdq2ll1o7s/EG1zI5AE7m3vLdpZ5u0sw93vBO4EmD59ervbiHQb7uHc9IIFYXjjjeywYEHr1nTfvnDQQXDMMXDZZSGwDz44LNODOURkL/YpwN391D2tN7NLgbOAU9y9vdBdDozJmR8NrGxnO5HuaePGEMgLF2bHmZDOfSBHPB7OQx90EJx0UgjpiRPD/KhRak2LyD4rRC/00wmd1k50950dbPYcMMHMxgErgIuAf813WUT2WToNq1bBokWth4ULw3jTpuy2ZlBXBxMmhFuHTpiQHcaNg/Ly4tVDRHqsQpwDvw2oAB6z0Lp42t2vMrORhMvFzoh6qF8LPEK4jOxud3+tAGUR6djOnfDmm7B4cXa8aFEYL14cOpZlxOPhvPSBB8JRR4X7eueGdGVl8eohIr1SIXqhH9jB8pXAGTnzDwEP5fvzRVo0NYWbl7z5JixZEsa5w5o1rbfv1w/Gjw+Ht08/PYT0AQeE0K6rg7KyolRDRKQ9uhOblK5du+Ctt0IP7sywZEl2vGJF657d8XgI4nHj4KyzQliPHx/mx42DYcN0TlpESoYCXLon9/AwjWXLQkjnDpmwXreu9Wvi8fBs6fr6cEOTcePCdGYYPVqPsxSRHkPfZtL13EMv7uXLw7Bs2e7D8uXZ50tn9OkTzkPX1cHhh4fpzPzYsaFXtwJaRHoJfdtJfqVSoeW8YkUI4cw4M2Tmd+1q/bp4PATwmDGhk9j554fpurrseMgQHeIWEYkowKVz3GHbNli5MoRwZtx2etWqEOK5EokQzqNHwxFHhEdVjhkT5jPjmhrds1tE5G1QgAts3x6Cd+XKMLQ3vWIF7Nix+2sHDoSRI0NAn3JKGGfCOjMeNkz36RYRyTMFeE/lHp4LvXIlrF4dgjh3yITzqlWhZd1WZWUI5pEj4bDD4IwzskGdO+7bt+vrJiIiCvCSk0qF3teZ8M0N57ZBnXsjkoyqqhC8tbUwbRq8971hOrMsMz1okM43i4h0Ywrw7mLXrj2Hcma8dm24zWdbgwaF8K2pCQ/HyIRx22HAAAWziEgPoAAvpMzlUnsL5VWrYOvW3V8fj8OIEdlW8ZFHhoDOhHFmuqZGt/IUEellFOD7InOpVHvnk3OH1auhuXn31/ftmw3eQw+F005rHcaZgK6uVs9sERFplwI8VzIZgrltD+y2Qb1mTfuHsYcMyYbvxIm7H77OhHP//l1fNxER6VF6b4D/8Y/wwAOtL5lq7/yyGQwfng3hww9vHcqZzl8jRkBFRXHqIiIivU7vDfAXXwwBnrlU6ogjsoGc2yN7xAg9hUpERLod89ynNeXjDc2+AZwNNAGLgMvdfXM72y0BtgEpIOnu0/f23tOnT/fZs2fnp6Du6o0tIiLdmpnN6SgfC3F7rMeAqe5+KPAGcMMetj3Z3ad1JrzzTuEtIiIlLO8B7u6Punsymn0aGJ3vzxAREentCn2D6iuAP3WwzoFHzWyOmc0scDlERER6lH3qxGZmjwM17ay60d0fiLa5EUgC93bwNse6+0ozGw48Zmavu/vf2vmsmcBMgLq6un0proiISI+T905sAGZ2KXAVcIq77+zE9l8Btrv7N/ey3TpgaV4KGQwF1ufx/bor1bNnUT17FtWzZ8l3Pce6+7D2VuT9MjIzOx34PHBiR+FtZn2BmLtvi6bfA9y0t/fuqBL7UdbZRelA18VUz55F9exZVM+epSvrWYhz4LcB/QmHxV80szsAzGykmT0UbTMCeNLMXgKeBf7o7g8XoCwiIiI9Ut5b4O5+YAfLVwJnRNOLgcPy/dkiIiK9RaF7oXd3dxa7AF1E9exZVM+eRfXsWbqsngXpxCYiIiKF1dtb4CIiIiWpVwS4mZ1uZvPNbKGZfaGd9ZeZ2bqo092LZvaRYpRzf5jZ3Wa21sxe7WC9mdmt0d/gZTM7oqvLmA+dqOdJZrYlZ19+qavLmA9mNsbM/mpm88zsNTP7VDvblPw+7WQ9S36fmlmlmT1rZi9F9fyPdrapMLNfRvvzGTOr7/qS7p9O1rPkv28zzCxuZi+Y2YPtrCv8/nT3Hj0AccJDVcYD5cBLwOQ221wG3Fbssu5nPU8AjgBe7WD9GYS74hlwNPBMsctcoHqeBDxY7HLmoZ61wBHRdH/CcwXa/rst+X3ayXqW/D6N9lG/aLoMeAY4us02VwN3RNMXAb8sdrkLVM+S/77Nqcungfva+/fZFfuzN7TAZwAL3X2xuzcBvwDOLXKZ8s7DXew27mGTc4F7PHgaGGRmtV1TuvzpRD17BHdf5e7PR9PbgHnAqDablfw+7WQ9S160j7ZHs2XR0LYD0rnAT6LpXwOnmJXWU5c6Wc8ewcxGA2cCd3WwScH3Z28I8FHAspz55bT/BXF+dBjy12Y2pmuK1qU6+3foCY6JDuH9ycymFLsw+ys69HY4oTWTq0ft0z3UE3rAPo0Ot74IrAUec/cO96eHB0JtAaq7tpT7rxP1hJ7xfftt4HNAuoP1Bd+fvSHA2/vF0/YX4R+Aeg+PQH2c7K+mnqQzf4ee4HnCrQcPA/4P+H2Ry7NfzKwf8BvgOnff2nZ1Oy8pyX26l3r2iH3q7il3n0Z4QuMMM5vaZpMesT87Uc+S/741s7OAte4+Z0+btbMsr/uzNwT4ciD3F95oYGXuBu6+wd0bo9kfAEd2Udm60l7/Dj2Bu2/NHMJz94eAMjMbWuRi7RMzKyOE2r3u/tt2NukR+3Rv9exJ+xTA3TcDTwCnt1nVsj/NLAEMpIRPF3VUzx7yfXsscI6ZLSGcln2Xmf2szTYF35+9IcCfAyaY2TgzKyd0JpiVu0Gb84bnEM7D9TSzgEuinstHA1vcfVWxC5VvZlaTOc9kZjMI/8Y3FLdUb19Uhx8C89z9fzrYrOT3aWfq2RP2qZkNM7NB0XQVcCrwepvNZgGXRtPvB/7iUQ+oUtGZevaE71t3v8HdgE9wawAAAOxJREFUR7t7PSFT/uLuF7fZrOD7M++3Uu1u3D1pZtcCjxB6pN/t7q+Z2U3AbHefBXzSzM4hPP50I6GXZEkxs58TeusONbPlwJcJHUhw9zuAhwi9lhcCO4HLi1PS/dOJer4f+LiZJYFdwEWl9iUYORb4MPBKdD4R4ItAHfSofdqZevaEfVoL/MTM4oQfIPe7+4Ntvod+CPzUzBYSvocuKl5x91ln6lny37cd6er9qTuxiYiIlKDecAhdRESkx1GAi4iIlCAFuIiISAlSgIuIiJQgBbiIiEgJUoCLiIiUIAW4iIhICVKAi4iIlKD/D3aPVlY5OsLwAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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KR81tQ2ro7lAMs9sIDVGe++axdWs3tcDQWve9a4ShnlqjDZvihFdFC7UrIkLtniUy1E5EqI3IUDvh3o/D7ESE2IkMsxMeYjujK60dPXrU0+fdunVrAHJycujduzfLli3D4XCwadMmNm/ezJYtW9i8eTORkZGsWLECgJ/97GccPnzYM31sj1696d6rL21Tu1JS4fD8PRRXOCi2Hp/K5691TZib1ouaVoya1g2rBcTlYnzf9kzN6HTa/x61NflBbEqpNGAAsDKwJRHi1OXk5HDttdcybNgwlixZEujiNGtVDhdFFdUUlZsv5CLri9n9uLTKcUY1ZpdLe2rfZVUOyquclFlN5mVVNc3n5VZoVzlc9e7LblNEhNqICLETHmojLiKU1rHWY6tWam5thNvNNu5aamiIDdsZXn40LMTmCeHIsONDONI7oK11EaH242rFjWXevHls3brVE9hQM4jNPRK9Q4cOxw2c8654Tpo0iZUrV5KZmcmnn36K0+nkkksuYcGCBQDceuuttGvXjvT0dEalp5OW1pWyapfn76eo3Pz9FJZXe/6evANeKavJvIHd2pf06+CDf5WGCXiAK6VigA+A27XWRXWsnw5MB+Q8WdEkPfLII5SWlvLMMyccwiEaQGtNUUXNF6r3UlReTVmV87T2WeV0UVppmltLq0zTeam7ydx67A7outgUVhCaJS4yvCYIw2oFYqjN52EYYlOe9679vp5yeWrOJpBDAhDGp8M9ytz7NLJly5ad8DQy7xr/H/7wB8/9yspKduzYgctlflhVVVWxaNEi9uzZ49kmKiqK+++/n5kzZ9LWGcb//vc/0tPTad+rI0opXC5NcYXD83dXUF5FQVk1BeXVFJZVNdr4hoYIaBO6UioU+BRYorV+8mTbSxO6aGr2799P9+7dufrqq3n55ZcDXZygoLWmqNxBflkVBeXVFJRVmS/KMvOFeSrNmw6XCeaSWs3kpZUOSqocntCuawSy3aaIDrMTFRZCdLgJwaiwEKLC7GYJDSEq3ATjmTYTe1MKwkPsRIbaiAoL8QRxVJgJ4KiwmlB2/ygICwmOMG6qiouL2bp1q6cZfsyYMUycOJGdO3fSo0cPAJKSkjyzzF133XVkZGR4LufqprXpoikoM3+v+WVVZimtorDcgUvrFjMKXQFvAHla69sb8hoJcNHU/OY3v+Gdd95h586ddOrku36v5qCsykF+WTX5pdaXXJkJ64KyhoW006UprTT9lsWV1cf1Z5dYz9dVYw6xKWLCQ4gON8EcHR5CTJgJ45jwEKKt+2F234WyCVoTyJFhx4ew+0eBdzjbTnC+tWg85eXlnuZ39xzxmZmZvPHGG0yaNIlly5Zx1VVXec5d9168Z1QE8/daUFZFYlSYTz/fptoHPgK4GtislNpgPXef1npRAMskxCnp1q0b9957b4sNb3dtOq+sirzSSvJKq8krrSS/rJrykzR3VztdFJVXU1RhBhm5b92DjUorHdSO+fAQGzHhIcREhNAmNpyYiBDz2GsJ80Ft2d1k7Q5fdyibALZq6eFmfWSo/YQToIimKzIyktGjRzN69GjPc1prTxN8fHw848aNIzMzk+eff57KykoAVq5cyeDBg1m+fDmff/65J9R79OjRqD/Omswo9IaQGrgQgaG1prC8mtzSKnJLTFjnlpqmw/r6BB0ul2eAWaEV1EXWQKGi8p/Wnm0KYiNCiY0IMUu41/2IUE84n64QmyIqvKaJ3F0TjwoLIdoK6WirBu3LJlDRPDgcDnbv3s2WLVu46KKLiIqK4u9//zv33HOPJ/BDQ0PZu3cvHTr4biBbk2xCPx0S4KKpWLduHXv27GHKlCk+a4ZtKkoqHeSWVHKspJJjJSaw88uqfjLi2n0+dVG5g4LyKq/BZmYAUEml47jt7UoRExFCfGQocREhxEWagI6LCCUuIpSocPspj7xW1uCyqHATwtFeTeTRVu05OrymCVsIX6uoqGDHjh1kZmaybds2/va3v/n0O0ECXAgf0lp7mtX27NkTtFOhVjtd5JZUcaykkpySSo4Vm1q1d9O31pqyKqc1CrfKM9DMPeisynl8qEeH24mPDCU+IpS4yFAT1tbj6HB7g7/YbEp5wjfa6ruOCgux+rZrQjk6LET6k0Wz1lT7wIUISu+++y7Lli3jueeeC5rwLq6o5lhJFTnFleQUm9p1flkVWpuQrqh2mVHhXkHtvu/dRG5TEBcRSnxUKO3jI0xYey0NOXUp0grmWK+BZt592O5wbm4tG0L4mgS4EKcgJyeH3//+9wwZMoSbbrop0MX5Ca01+WXVHC2uIKe4kqNFJqzLqpw4XC6vU1/M6HD340qv5nFlhXRiVCgdE+NJiAwlISqUhKgwYsPrr/HalCI63E5sRAgx4aHH3Y+JMCPBo8OD5/xkIZo6CXAhTsFtt91GYWEhr7zyCnZ7YPtUnS5NbkklR61a9dHiCo6VVFFYVk2edepWnnWOan6ZmQjFu8MsJjyEhKhQerSNJSEqlMSoMBKiTH907VHVtcM5NsKMBI8NtwaYRZg+aKk1C9F4JMCFOAWTJ09m6NCh9OnTp1Hf1+nSHCup5EhRBUeLzO3e3FJyimtGg+eVmsCuqK6pTdttisSoUNrGhtOzXSxJUWEkWrVp7xHdEaF2z4jvOM9IcBPMsVbtWfqahWhaWmyA77x9JwDdn+4e4JKIYHLZZZf5/T1cVlgfLa7kcEE5PxwtZteREjMivLTSBHWt07ciQm0kRYXRrXUMidFhJEWFkRQdRmyECd7osBDiIt3hHEpcZMhxp2yFN3SiZyFEk9FiA7xkQ0mgiyCCyG233UZqaip33nmnT/ertSavtIqswnJ+yC4h83Ahu3PcNevKnwR1VJidVtFh9G4fR1K0CelWMWG0jonwBHRcZKh1W1Obln5nIZqfFhvgQjREVVUV99xzD88++yx33XXXGe+vsLyaXUeLWbsvn62Hi/gxt5ScItMM7j2QLCrMTpIV1K2iw2kbH06X5GjaxUf+ZOR3bERIQK4iJYQILAlwIeqxZ88efvWrX7FmzRpuvfVWHn744VN6fVF5NWv25rFufz7bsor5MbeUo0WVx01wEhZiIzk6jB5tY+mYEEHn5Gh6tIklJTGS+KiakI4Kk/+qQojjybeCaPGqqqpYunQpWmuio6MZOXIkJSUlDB48GKfTyYcffsgvf/nLel+vtSarsIJVP5qw3p5VzN7cUo6VVOK+ZoddKZKiw+iSHE3nVlF0axNDr/ZxnNU6moSoMOIjQ6UWLYQ4JRLgosWYPXv2cdccPnr0KO+88w6ff/45ixbVXEPH6XQSFxfHs88+y/Dhw0lLS/Osq3K42HW0hHX78z1hvS+3lFKv2cviIkLomBjJoLREeraLI71jHOkd4mkVEy4XvRBC+IwEuGjSDh06xDXXXENaWhoPPvggHTt2PK39zJ49mxkzZjBnzhyWLVsGwOjRo9m2bRsATz31FEOGDKGsrAybzdSEx0+aytasIv67fDfr9xewLauIA/nlnkthhtgUHRMjGdw1id7t4jinUwIDUxNIjo2ouxBCCOFDEuCiydq4cSPjx4+noKCAFStWMGDAAGbMmAGYZut169bx9ttv89577zFkyBA+/PDDevc1depU5syZw9atW0lPTwfMrGpxcXH89a8PMvXa6Ww9XMSW0kLeem0VWw4XcbS40vP6hMhQzmoTw3ndk+nXKYF+KQl0SY6W0d1CiICRABdN0ldffcWECRNISEjg22+/JTY2lpSUFADeeustZs2axZ49ewgNDWXUqFHcfvvtAJSVleFyuX4yR3mbNm1YtmwZ6enp5OTkABAdn8TY+//Nq4V2nn5sKQAKSEmMpH+nBPp3SqBPx3h6t4+jdWx44x28EEI0gAS4aJJ69uzJuHHjmDNnzk+urbt48WJSU1O59957mTJlCklJSZ51f/7zn/nggw94+eWXGTVmLDuPmHOrtxwqZPW2veSVVnm2rah2Ulzp4OL0FPp0iKN3h3h6tY+VEd9CiKAQ0G8qpdSrwATgqNY6PZBlEU3DN998w9ChQ2nXrh3z58+vc5u33nrrJ89VOpzsyC4mYeB4bAcjufrfmUR+UY4L08QdWlXMkf/MxFlWiLKHEhUVSWlxIVnvzOQPy5Z5BrYJIUSwCHQH3uvARQEug2giFi1axKhRo3j00UdPuF1FtZMNBwp47ZsfmfHOOsb8/Ut6/3kJE5//hlc2lRPRcyRJcdHkr/yInnnf8tmMYczofJTi7L0APP7YI+zZtZPevXuzdetW5s2b1whHJ4QQvhXQGrjWerlSKi2QZRBNw+rVq5k6dSrnnHMOt912m+f5SoeTLYcKWfljHuv3F7Aju5gD+WWe86ujw+30bBvL2LPTGNg5kfQO8XRKigTg4YeP8Pjjj8MdV5GdnQXAX//6V8+MasuWLWPevHnccsstjXuwQgjhA0prffKt/FkAE+CfNqQJPSMjQ69Zs8Yn77t+9HoABnw5wCf7E6dv9+7dDBs2jKjYOOa8u5BdRYqNBwr54UgxhwsqcFp/o9Fhdrq1jeGclASGpCXRr1MCKYmRJ7yE5dGjR2nTpg1ZWVksWLCA3/3ud411WEIIccaUUmu11hl1rmvqAa6Umg5MB0hNTR24b98+n7yvBHhgVVQ5WLu/gJV7cnn+1bepikomrO1Znpp1ZKidrq2j6dMhjsFpSQzp2uqkYS2EEM3NiQK8yQ+31Vq/BLwEpgYe4OKI01BSUc36AwWs/jGPzYfM1bYOF5TjcE+I0mUwqZGagd3ak5GWxIizWnFWmxgJayGEOIEmH+AiuBSUVrHlcCGr9+ZbYV3C4cIKqqwrbYXYFB0SIhnQ1k5YwX7+cO0U+qckYJcJUYQQ4pQE+jSy/wCjgWSl1EFgltb6lUCWSTSM+zrWPxwpPi6sswoqKK8284LbFLSODWdgaiJ9U+IY0qUVQ7oksW3zBi666CIiIiKYc/vlEt5CCHEaAj0K/cpAvr9oGJdLk1dWxd5jpazZl8+mgwXsziklq6CcooqaS2MmRYfRo20MvTrEkdE5kWFdk+mQEHFcU/i6desYO3YsrVu35osvviA+Pj4QhySEEEGv3gBXSv1ba321Uuo2rfUzjVkoEThaa3JLqziUX8a6/QVsOljAzqOmZp1XWoV7EEJcRAjt4yM5r0cMA1ISGHpWEme1jiUyzF7vvrOzs7n00ktJSkri66+/Pu0LkwghhDhxDXygUqoz8Bul1JuYaaI9tNZ5fi2Z8DutNQVl1WQXlbP5UBHr9+Xzw5ESDheWc7S40nPVrchQO23jwunbMZ70lHgGpyXSq308yTFhpzTQ7H//+x8FBQUS3kII4QMnCvAXgMVAV2Atxwe4tp4XQaSk0kF2YQU/ZBezdn8e27KKOZRfTnZRBZVeg8zaxIZzbmoivdrHMDA1iXNS4mmfEElEaP2164aYNm0a559/vkxbKoQQPlBvgGutnwWeVUr9U2t9UyOWSfhApcPJ0aJKfswtZe3efDIPFbI/r4zsogqKrX5rpaBVdBjd28bSrU00AzolMCA1kZTEKBKjQn12GteLL75It27dGDdunIS3EEL4yEkHsUl4N30ul+ZYaSWH8ytYuy+PjdYgs+yiCvJKju+3bhcXwZAuUfTtmEBGWgJpyTG0iQ0n1A8jwYuKivjHP/7BQw89xOTJkxk3bpzP30MIIVoqOQ88CJVWOjhcUE7moSLW7MtjR3YxhwtMv7V7cpSIUBtt4yLo2TaW3h3iyEhNpHu7WNrFRRAd7t+PvbKykn/+8588/PDDHDt2jMsvv5yXX37Zr+8phBAtjQR4E+d0aXKKK9lxpIhVP+aReaiIfbmlHCmq9Jxvbbf6rc9JiadH21gGdE6gb4d42sdHkuDDpvC67N69m48//pjc3FyGDBnCxIkT+f7777njjjsYN24cjz76KIMGDfLb+wshREslAd7ElFY62HushO9/zGPj/kJ+OFpMVmEFheXVnm1aRYfRtXU0Z7WOoV9KPOemJtIxKZLk6HBstsaZftTpdPLMM89w//33U15ejt1u5w9/+AMTJ05k1KhRrF69moyMOqfvFUII4QMS4AGktSa7qII1P+azel8eWw4VsT+/jNySSs9FPchQr00AACAASURBVGLCQ2gXH8GQLkmkd4xnUFoiacnRtI4JJySAM5hNnz6dV199lUsuuYTnnnuO1NTU42r6Et5CCOFfEuCNqLLayaaDhXyz+xgbDxSw62gJ2UUVVDtNWoeFmH7rkd2S6dMxnozOifRqH0drPw0yO1Vaa1wuF3a7nZtvvplx48Zx5ZVXykVHhBAiACTA/ehgXhnLd+awem8+27KK2J9XRlmV1W+tFK1jwzm3cyJ92sczsHMC/VMTaBMb4bew1lrzxhtvsG3bNm699VZSUlJYvHgxq1at4rrrrqNTp071vtbhcHDbbbdRUVHByy+/zMCBAxk4cKBfyimEEOLkJMB9pLzKwXe7c/lmd66ZK/xoKXllVZ71raLD6NU+jl7tY8nonEhGWhLt4yOxN1KfNcA//vEP7r77bsLDw5k8eTIpKSmUlJQwa9YsHnjgAS688EKuv/56JkyYQEREhOd1RUVFXHHFFXz22WfcfffdaK2l1i2EEAEmAX4aHE4X27KK+WZ3Dmus2vXhwgq01W8dGxFCl+Rozu/ThoGpiQw/K5mOiZEBDb2FCxfyxz/+kalTp/Luu+9is5la/mWXXcaePXt47bXXePXVV5k6dSopKSkcOHAAgOXLlzNjxgy2bt3KSy+9xA033BCwYxBCCFFDaXfqBIGMjAy9Zs2aM9pHp06deP7550l9KhWA/XfsZ8aMGZ7Aqs3l0uzNLWXd/nxW7jGTpPx4rNTTbx0ZaqdLcjS9O8RxbmoCI7ol07lV9BmV0de2b9/O4MGD6d69O19//TVRUVF1bud0Ovn888/JysriuuuuA6Bnz55kZ2fz/vvvc/755zdmsYUQosVTSq3VWtc5KrhFBXinTp04ePAgAJ/3+RyA87eYUEpJSWH//v0cLqxg04EC1u3PZ+2+fLZnF3v6rUNskNYqinM6JTIoLZGhXVqRlhyN0+nk+++/5+uvv+biiy+mX79+Z3ikvlVSUsKdd97Jn//8Z1JSUk7ptZs3b6ZNmza0bdvWT6UTQghRnxMFeItqQn/++eeZNGkSAJlbMo9b1+niG+n3wGKKKs1FPexK0TE+lK4hBRTt30Dm8oXk793K6N9cx5N3vozL5eKpp55izZo1LFmyhPz8fAB+/vOfN+5B1aOoqIivv/6axMREhg8fzosvvnha++nbt6+PSyaEEMIXAhrgSqmLgGcAO/Cy1voxf77fpZdeyvz58z0h7tbq0vvY60ikas1/aRdWxVvPPszZ7WIZOmggX2/cSKdOnZhy4YWMGHEn6enpgJmB7K677qJNmzZceumljB8/nrFjx5KUlATARx99xIQJEwgNDfXnIR0nNzeXJ598ki+++IK1a9fidDq5/PLLGT58eKOVQQghROMIWIArpezAbOB84CCwWim1QGu9tbHLcknrXEYM6UJoaH+SkpLo3ykBgPvvv5/evXvTq1evnwxA69atG9nZ2bRu3dozIMxt3bp1TJ48mfPOO49Zs2bRqlUrEhMTSUlJwW63U15eTklJCVVVVSQnJxMeHn7Gx6C15uKLL2bt2rUMGzaMmTNnMmbMGIYNG3bG+xZCCNEEaa0DsgDDgCVej2cCM0/0moEDB+ozMX/+fI25lrl+iqf0UzzleTx//vwz2ndtb7/9to6MjPTsH9BHjhzRWmt9zz33eJ7r2LGjXrx4sdZvvaV1585aK2Vu33pLFxQU6K+++krv2rWr3vc5duyYrqio0FprvWLFCr1x40afHocQQojAAdboejIxYIPYlFKXARdprX9rPb4aGKK1nlHfa/w9iK2+keinKysrix9++IG8vDzy8/O55pprCAkJ4dtvv2X9+vXYbDaef/55+m3dyushIYQ5HJ7XVoWEcFNICK9WVDB16lTmzp0LQNu2bamuriY2NpaYmBiys7O56aabeOihh3xadiGEEIHXVAex1XVS9E9+TSilpgPTAVJTU8/oDQ8cOOA5jazVU60AmD9//glPIzsT7du3p3379j95fvjw4Z5+6euuu46yNm0IKy4+bpswh4PHwsL45Sef0KFDB8/zN9xwA4WFhRQXF1NcXEx6ejqXX365z8suhBCiaQtkDXwY8IDW+kLr8UwArfWj9b3GF+eBu60fvR6AAV8O8Mn+zojNBnV9DkqBy9X45RFCCNEknKgGHsgrZKwGuiuluiilwoArgAUBLE/g1NeycIYtDkIIIZqvgAW41toBzACWANuAuVrrLYEqT0A9/DDUnh0tKso8L4QQQtQhoOeBa60XAYsCWYYmYdo0c/unP8H+/abm/fDDNc8LIYQQtbSomdiatGnTJLCFEEI0WCD7wIUQQghxmiTAhRBCiCAkAS6EEEIEIQlwIYQQIghJgAshhBBBSAJcCCGECEIS4EIIIUQQkgAXQgghgpAEuBBCCBGEJMCFEEKIICQBLoQQQgQhCXAhhBAiCEmACyGEEEFIAlwIIYQIQhLgQgghRBAKSIArpaYqpbYopVxKqYxAlEEIIYQIZoGqgWcCk4HlAXp/IYQQIqiFBOJNtdbbAJRSgXh7IYQQIug1+T5wpdR0pdQapdSanJycQBdHCCGEaBL8VgNXSn0BtKtj1Z+01h83dD9a65eAlwAyMjK0j4onhBBCBDW/BbjW+uf+2rcQQgjR0jX5JnQhhBBC/FSgTiP7pVLqIDAMWKiUWhKIcgghhBDBKlCj0D8CPgrEewshhBDNgTShCyGEEEFIAlwIIYQIQhLgQgghRBCSABdCCCGCkAS4EEIIEYQkwIUQQoggJAEuhBBCBKGAnAfeFMT0jwl0EYQQQojT1mIDvPvT3QNdBCGEEOK0SRO6EEIIEYQkwIUQQoggJAEuhBBCBCEJcCGEECIIKa11oMvQYEqpHGCfD3eZDBzz4f6aKjnO5kWOs3mR42xefH2cnbXWretaEVQB7mtKqTVa64xAl8Pf5DibFznO5kWOs3lpzOOUJnQhhBAiCEmACyGEEEGopQf4S4EuQCOR42xe5DibFznO5qXRjrNF94ELIYQQwaql18CFEEKIoNQiAlwpdZFSaodSapdS6t461l+rlMpRSm2wlt8GopxnQin1qlLqqFIqs571Sin1rPVvsEkpdW5jl9EXGnCco5VShV6f5V8au4y+oJTqpJRappTappTaopS6rY5tgv4zbeBxBv1nqpSKUEqtUkpttI7zr3VsE66Ues/6PFcqpdIav6RnpoHHGfTft25KKbtSar1S6tM61vn/89RaN+sFsAO7ga5AGLAR6F1rm2uB5wNd1jM8zp8B5wKZ9ay/GPgMUMBQYGWgy+yn4xwNfBrocvrgONsD51r3Y4Es4JuTfabAC8CfT7Df+4CX/VTmhzDnv2afwXH+UMf/zxN+pic75qawWJ9RjHU/1Pqshtba5mbgBev+FcB7gS63n44z6L9vvY7lD8A7df19Nsbn2RJq4IOBXVrrPVrrKuBd4NIAl8nntNbLgbwTbHIp8KY2vgcSlFLtG6d0vtOA4ww4pdSXSql8pVT46e5Da52ltV5n3S8GVgEP1NrsJ58p8Fet9d+scoxWSh2std9HtNY+r/EopToBd2LCt11DX1fHcW4DOp7gfa5VSq2otY8b3cfcVFmfUYn1MNRaag9AuhR4w7r/PjBOKaUaqYg+0cDjbBaUUinAeODlejbx++fZEgK8I3DA6/FB6v6CmGI1Q75vfRk1Nw39d2gOhllNeJ8ppfo05htbzWTnYb60JvpwnwMwtRlvTekz7Qzkaq2Pnu4OTnCcYH2mmBpP1Om+RyBZza0bgKPA51rrej9PrbUDKARaNW4pz1wDjhOax/ft08AfAVc96/3+ebaEAK/rF0/tX4SfAGla63OAL6j51dScNOTfoTlYh5l6sB/wHDC/kd//GuB74HXg194rlFKtlFILlFJFVj/h39y1SaVUmlJKK6VCvLb/Uil1C/AB8DGwyHpeKaWeAs4HFltfhOnWy2YppR5SSkVjmtc7KKVKrKWDUuoBpdRbXu8x0eqrLLDer5fXur1Kqbus/Rda/XkRtQ9YKfVz4HOv93q9rtq/tb+fW/cfUErNVUq9qZQqVkpts8p7u9a6yOob/1CZ6ZM/xNRgrgDOBgZY71Ng7et1pdRDXu9zg9XvmGf9e3fwWqeVUjcqpXZarSSzG6uWq7V2aq37AynAYK/PzFO8ul7m/5L5VgOOM+i/b5VSE4CjWuu1J9qsjud8+nm2hAA/CHj/wksBDntvoLXO1VpXWg//BQxspLI1ppP+OzQHWusidxOe1noREKqUSm7EIlwDvG0tFyql2nqtmw1UYPp9f2MtJ6KAm6x9eX9RXIAZC/AOcAPwKyAX85mWAWitS4FfAIe11jHWctznrZTqAfwHuB1ojfmB8IlSKsxrs8uBi4AuwDmY/svjaK2/qPVeP9mmHhMxXVrJQDgQqbX+UCllBz7FXPcgDegA/FtrvQ2YDlRiAiCh9g6VUmOBR61yt7f28W6tzSYAg4B+1nYXNrC8PqG1LgC+xPy7evP8H7V+yMXTxLuLTqS+42wm37cjgIlKqb2Yv6+x3j+MLX7/PFtCgK8GuiululhfTFcAC7w3qNUXPBHTD9fcLACusWpvQ4FCrXVWoAvla0qpdu4alVJqMOZvPLeR3nskpil5rvXLfDfwf9Y6OzAF+IvWulRrnckJah7WMfQEsrTWT9ZaXY0Z8LUZ84Nhu/W+hUD5KRT5V8BCrfXnWutq4O9AJDDca5tntdaHtdZ5mJpT/1PY/8mswNS6/2Xdd//YGYwJ7butHyIJwDfWui7WbX2f6TTgVa31OiskZmKa39O8tnlMa12gtd4PLMO3x1QnpVRrpVSCdT8S+Dnmc/O2gJpWm8uApdoaARUsGnKczeH7Vms9U2udorVOw2TKUq31VbU28/vnGXLyTYKb1tqhlJoBLMGMSH9Va71FKfUgsEZrvQD4vVJqIuDA/EK6NmAFPk1Kqf9gRusmW02XszADSNBav4CpXV0M7MLU0q4LTEnPTAOO8zLgJqWUAxNmVzTil+Cvgf9qrd1XInrHeu4pTA03hOP7rE90Zb0RmECrtvoTk4BipdSN1vrnrX33xgT3AevxjFMobwfvMmitXUqpAxzfj57tdb/Meo2vZGOO82rMl3yEdayfWe/1W8wIc+/PNAbYcYLPtAOmGwUArXWJUioXc0x7vd7Xrczap7+1B96wfsjZMD/yPq31PfQK8G+l1C7M99AVjVAuX2vIcQb99219GvvzbPYBDp6m1EW1nvuL1/2ZmF/qQUtrfeVJ1mvglkYqjt804Difx4Rbo7JqG5cDdqWUOyDCMaP9+wGZmC+sTtTUSFK9dlFq3UYBRVrrFUqpHcDftdYvK6WuBX5r/Uhxe1Yp1QaYC3yttV5Tqzv3ZD9cDgN9vY5BWeU71JBjPolSvAabWV/oP7kkotZ6hfXWacCPQAameft6rNG93p+pUurXmG6D+hzGtEa43zcaM3DIF8d02rTWmzAD9Go/7/09VAFMbcxy+VoDjzPov2+9aa2/xHQVNPrn2RKa0IVoDJMAJ6ZG3N9aegFfA9dorZ2YwVgPKKWilFK98RrkprXOwYTMVcqM4v0NcFZdb6SUGqSUGqKUCsUEZYX13rUdAVoppeLrKfNcYLxSapy1rzsx/cvfnuKx1+UHTI16vLXv+zE/aBpiFea898eUUtHKTA4ywlp3BEip1U/v7R3gOqVUf2VO43sEM+fB3tM+EiGaKAlwIXzj18BrWuv9Wuts94KpOU6zBrHMwDTXZmNGqb9Wax83AHdj+nf7UH+QxmH6jfMxTeC5mP7r42itt2MGqe1RZpR5h1rrdwBXYUbrHwMuAS7RZr6EM6K1LsRMZPEy5odJKWZQT0Ne67TK0g3Yb73uV9bqpcAWIFspdayO1/4P+DNm5H4W5kdQMDZFC3FScjETIQLEq1l8ZKDLIoQIPlIDF0IIIYKQBLgQQggRhKQJXQghhAhCUgMXQgghgpAEuBCiXtYpa5usU7milZk3vfbc1kKIAAiqJvTk5GSdlpYW6GIIIYQQjWLt2rXHtNY/mQQJgmwmtrS0NNasWRPoYgghhBCNQilV75TL0oQuhBBCBCEJcCGEECIISYALIYQQQSio+sB9aeftOwHo/nT3AJdECCFamOJi2LEDtm2D7dvNsmMHuFzQujUkJ5vbLl2gf3+ztG178v22MC02wEs2lAS6CEII0XxpDVlZx4e0+/4hr6u72u3QrRv07AmhoZCTY7ZbvhyOeV2vpm1bGDAAMjJg4EBz27EjHH8J3RalxQa4EEIIH3A4YPfumnD2DuyioprtYmOhVy8YN87c9uxpbrt2hbB6rg6bnw8bN8KGDWZZvx4efRSc1tVz27aFIUNg6FBzO2iQeZ8Wwi8BrpTqBLwJtANcwEta62dqbaOAZ4CLgTLgWq31On+URwghxBkqLT2+Ju1edu2C6uqa7Tp2hLPPhquvNgHdq5d53L79qdeWExNh9GizuJWVmVBfuxZWrYKVK2HBArPOZoNzzoERI2DkSLOkpJzpkTdZ/qqBO4A7tdbrlFKxwFql1Oda661e2/wC6G4tQ4B/WrdCCCECJTf3+IDeutXc7t9fs43dDmedZcL50ktrQvrssyEuzr/li4qCYcPM4paXZ8L8u+/gm2/g9ddh9myzrksXGDWqZunSxb/la0R+CXCtdRaQZd0vVkptAzoC3gF+KfCmNlPBfa+USlBKtbdeK4QQwl+0hsOHfxrSW7eaPmi3yEgTyiNH1tSme/Uyfdb1NXsHQlISXHSRWcA062/cCF9/DV99ZWror79u1qWlmWb8ceNg7NigHhzn9z5wpVQaMABYWWtVR+CA1+OD1nMS4EII4Qtam5rz1q0/Xbz7pxMSTDBPnHh8UHfubJqlg01IiBnoNnAg3H67Gd2+ZQt8+SUsXQrvvw+vvGK27dcPLrgALrzQNL1HRAS06KfCrwGulIoBPgBu11oX1V5dx0t+MjG7Umo6MB0gNTXV52UUQoig53LBvn0mmLdsqQnpbdugxOuMm7ZtTTBfdZW57d3bLG3bNu/R3DYb9O1rlltvNYPg1q2DL76A//4Xnn4annjCtDiMHQvjx8PFF5sfME2Y3wJcKRWKCe+3tdYf1rHJQaCT1+MU4HDtjbTWLwEvAWRkZATPlVeEEMLX3EHtDuktW8yybZsZ3OXWoQP06QPXX28C2h3WrVoFruxNid1uRqwPGgQzZ5ofOV9+CYsXw6JFsHCh2a53b5gwwbRMDB1qXteE+GsUugJeAbZprZ+sZ7MFwAyl1LuYwWuF0v8thBCYpu9DhyAz0wS0+3brVjMa3M0d1NOnm1t3jTohIXBlD0YxMSaoJ0ww//Y//FAT5E8+CY8/biaXmTABJk0yTe6RkYEutd9q4COAq4HNSqkN1nP3AakAWusXgEWYU8h2YU4ju85PZRFCiKbr2DET0LWXwsKabdq2hfR0U6Pu06cmrBMTA1fu5kopc456z55wxx3mc1i82AyEmz/fDIaLijID5iZPNqEeHx+YogbT9cAzMjK0ry4nun70egAGfDnAJ/sTQogTKisztejNm01Au2+zs2u2SUw0Qd2nj+mvdYd1cnLgyi1qVFebUe0ffmjCPCvLzB53wQUwdao5pc7HrR9KqbVa64y61slMbEII4UsuF+zZA5s2mZDetMksu3eb5lkwza+9e5tanDuo+/Y9vclOROMJDYWf/9wszz9vJpF5/32zLFxo1k+aBO+91yifowS4EEKcroKCmoB2L5s31wwoUwq6dzenKl11Vc1I6K5dm9yAKHGKbLaaCWX+/nczkcy8eeYc9Eb6ESYBLoQQJ+OuVbvn5d640Szes5MlJZmgvuEGE9L9+pladlRU4MotGodSZi72IY07magEuBBCeCsvN33T7gtobNhgatbu86ntdjPAacQIuOkmE9TnnGNGhEvzt2hEEuBCiJYrL6/mKlfuZft2U+MGM693v35w3XXmmtT9+pn+6iCarUs0XxLgQoiWISvLzL7lXtavN5OiuKWkmJCeMsVcd7p/fzNvttSqRRMlAS6EaF7cF+pYs8ZccnLdOnPrPl3LPbBs6FC4+eaasG7dOrDlFuIUSYALIYLb4cMmoNesqQntI0fMOpvNTCN6wQVw7rlm6d8fYmMDW2YhfEACXAgRPHJzYfVqE9SrV5sly5qB2WarObfafSWqfv0gOjqwZRbCTyTAhRBNU1mZaf5etcoE9apV5lQut549zZWjMjLMRSn695ewFi2KBLgQIvBcLjP6e+XKmmXzZnPZR4BOnWDwYPjd70xgDxwYsPmnhWgqJMCFEI0vN9eE9HffmdtVq2ou3hEfb8L63nvNxBiDBkG7doEtrxBNkAS4EMK/nE4zMcp339UsO3eadXa7mbXsyitrZrLq2dP0ZwshTkgCXAjhW4WFplb9zTfw7bfmfnGxWdemjZk7+vrrzWlcGRnSby3EaZIAF0Kcmf37YcUKE9grVpi+a61NLbpvX7j6ahPaw4dDly4yMYoQPiIBLoRoOJfLXNP666/NsmIFHDxo1sXEmKCePNnMEz54sJmKVAjhFxLgQoj6VVebKUeXLzfLihWQn2/WdegAI0fCeeeZwO7bF0LkK0WIxiL/24QQNSorzTnXX31llm+/hdJSs65HD1O7/tnPTHBLc7gQAeWXAFdKvQpMAI5qrdPrWD8a+Bj40XrqQ631g/4oixDiBNyBvWwZfPmlCeyKCrOub1+49loYNcrUsuVULiGaFH/VwF8HngfePME2X2utJ/jp/YUQdamuNtOQLltmlm++Mde/VspMO/q738Ho0SawW7UKdGmFECfglwDXWi9XSqX5Y99CiFPgcsGmTfC//8HSpaYfu6TErDvnHLjhBhgzxjSLJyUFtqxCiFMSyD7wYUqpjcBh4C6t9ZYAlkWI5uPHH+Hzz+GLL0wt+9gx83yPHuaUrrFjTbO4XD5TiKAWqABfB3TWWpcopS4G5gPd69pQKTUdmA6QmpraeCUUIljk55satju03Rf86NABLr7YBPa4cZCSEthyCiF8KiABrrUu8rq/SCk1RymVrLU+Vse2LwEvAWRkZOhGLKYQTVN1NXz/Pfz3v2ZZs8Y0lcfGmubw22+Hn/8czj5bRokL0YwFJMCVUu2AI1prrZQaDNiA3ECURYigsHcvLF4MS5aYvuyiIjPT2ZAhcP/9cMEFZuKU0NBAl1QI0Uj8dRrZf4DRQLJS6iAwCwgF0Fq/AFwG3KSUcgDlwBVaa6ldC+FWXm4GnH32mQnuHTvM86mp8KtfwYUXmmbxhITAllMIETD+GoV+5UnWP485zUwI4bZnjwnsRYvM4LPycggPN6d13XgjXHSRuVKXNIsLIZCZ2IQInOpqMzXpwoVm2b7dPH/WWfDb38IvfmFGi0dFBbacQogmSQJciMaUk2Nq2Z98YgagFRVBWJgJ6htvNKPGu9d5QoYQQhxHAlwIf9Iatm2DBQtMaH/3nXmufXu4/HIYP96MGI+JCXRJhRBBRgJcCF9zOEzT+IIFZtm92zx/7rnwl7/AJZfAgAFmFLkQQpwmCXAhfKG01DSJz58Pn34KeXmmaXzcOLjrLpgwQSZSEUL4lAS4EKcrN9c0i3/0kQnvigpITDRhfeml5lQvaRoXQviJBLgQp+LQIRPYH35oztN2OqFTJ5g+HSZNMlfxCpH/VkII/5NvGiFO5scf4YMPTGh/95157uyz4Z57YPJk07ct52YLIRqZBLgQddm504T2++/D2rXmuXPPhYceMqHdq1dgyyeEaPEkwIVw27UL5s2DuXNhwwbz3JAh8MQTMGUKdOkS2PIJIYQXCXDRsu3dawL7vfdg3Trz3NCh8I9/wGWXmbnHhRCiCZIAFy1PXh78+9/w7rvmspxgatpPPmlCu1OnwJZPCCEaQAJctByHDpmQfvFFc952//7w2GNmRjRpHhdCBBkJcNH87d4Njz8Or79uTvu64gr44x/hnHMCXTIhhDhtEuCi+crMhEcfNU3loaFw/fVw991S2xZCNAsS4KL5WbUKHnkEPv7YzIR2551wxx3mAiJCCNFMSICL5kFr+PJLE9xffGGmNH3gAbj1VkhKCnTphBDC5/xyOSSl1KtKqaNKqcx61iul1LNKqV1KqU1KqXP9UQ7RAmgNCxfCiBEwdqxpNn/iCdi3D2bNkvAWQjRb/rqe4evARSdY/wugu7VMB/7pp3KI5srpNOdvDxhgLh5y+DDMnm2mPb3rLoiNDXQJhRDCr/wS4Frr5UDeCTa5FHhTG98DCUop6aAUJ1ddDW+8AX36wK9+BeXl8NprZurTm2+GiIhAl1AIIRqFv2rgJ9MROOD1+KD1nBB1q6iAOXOge3e49loT1HPnwtat5nFoaKBLKIQQjSpQg9jqunSTrnNDpaZjmtlJlWktW56SEjPxyt//DtnZMGyYaSq/+GK5ApgQokULVIAfBLznq0wBDte1odb6JeAlgIyMjDpDXjRD+fnw3HPwzDNm6tNx4+Cdd2D0aAluIYQgcE3oC4BrrNHoQ4FCrXVWgMoimpIjR+Dee6FzZzOKfMQIcw3uL76AMWMkvIUQwuKXGrhS6j/AaCBZKXUQmAWEAmitXwAWARcDu4Ay4Dp/lEMEkQMHzOlf//oXVFaa+cnvu0+mOxVCiHr4JcC11leeZL0GbvHHe4sgs2uXuaDIm2+ac7qvvtrUwHv0CHTJhBCiSZOZ2ERgbN5sZk2bO9eMIJ8+3cxT3rlzoEsmhBBBQQJcNK7vvzfB/cknZrKVu++G22+Hdu0CXTIhhAgqEuDC/7SGpUtNcC9daqY3ffBBmDHDzFkuhBDilEmAC/9xuUxN+9FHYeVKczWwf/zDNJfHxAS6dEIIEdQkwIXvORzmGtyPPQZbtpjrb7/4Ivz61xAeHujSCSFEsyABLnynosLMS/7EE+aiIunp8Pbb5pSwEPlTE0IIX5JvVXHmiorghRfgySfNtiZAJwAAC29JREFURCxDhpgZ1MaPB1ug5goSQojmTQJcnL6jR+HZZ83c5AUFcMEFMHMmjBolM6YJIYSfSYCLU7d3r7m4yCuvmFnTJk82wT1wYKBLJoQQLYYEuGi4zZvh8cfhP/8xTeNXXw1//CP07BnokgkhRIsjAS5ObsUKM6J84UKIjoZbb4U774SUlECXTAghWiwJcFE3lws+/RT+3/+Db7+F5GQz+cott5iJWIQQQgSUBLg4XlWVOfXriSdg2zZISzPX5f7NbyAqKtClE0IIYZEAF0ZhIbz0Ejz9NBw+DP36wTvvwNSpcg63EEI0QfLN3NIdOmTO2X7xRXM+99ix8Oqr5pQwORVMCCGaLAnwlioz05wK9s474HSamvbdd8upYEIIESQkwFsSrWHZMtO/vXix6dO+8UZzOc+uXQNdOiGEEKdAArwlqK6GuXNNjXvDBmjTBh56yIR3q1aBLp0QQojT4LeJqpVSFymldiildiml7q1j/bVKqRyl1AZr+a2/ytJiFRSY0O7aFa66ysya9q9/wb598Kc/SXgLIUQQ80sNXCllB2YD5wMHgdVKqQVa6621Nn1Paz3DH2Vo0fbsMXOUv/IKlJTAmDHmYiO/+IVcXEQIIZoJfzWhDwZ2aa33ACil3gUuBWoHuPAVreGbb+Cpp2D+fBPUV14Jd9wBAwYEunRCCCF8zF/VsY7AAa/HB63napuilNqklHpfKdXJT2Vp3twTrwweDOedZwap3XOPueDIm29KeAshRDPlrwCv6wRiXevxJ0Ca1voc4AvgjTp3pNR0pdQapdSanJwcHxcziOXkwMMPQ5cupn+7uBj++U84cAAeeQQ61vV7SQghRHPhryb0g4B3jToFOOy9gdY61+vhv4D/V9eOtNYvAS8BZGRk1P4R0PJs2mQmXnn7bTMo7fzz4eWX4cILpX9bCCFaEH8F+Gqgu1KqC3AIuAL4P+8NlFLttdZZ1sOJwDY/lSX4ORywYIGZk/zLLyEyEq69Fn7/e+jdO9ClE0IIEQB+CXCttUMpNQNYAtj/f3t3FCPVVcdx/PvrFqophiZQI2Gh1EofWqsVCcE0mKYlLSKwD2JKWy1UWxJoU40PTTFpibz5okSlqSA0iAK1aOxCaKkGrU8iWIuF1JqVaHdLGypQ0CKShb8P51Yn42wZ2Llz9975fZJN7sw9O/v/z9nc/9xz75wDbIiIg5JWAfsiohd4SNICYBA4BizJI5ZSO3o0nV0//ji89hpcdVVaHey++7wimJlZh8ttIpeI2AnsrHvusZrtFcCKvP5+qe3bB2vWwJYtaZj8llvSsPn8+dDVVXR0ZmY2AngmtpHi9Gl4+ulUuPfsgcsvT0t4PvAAXH990dGZmdkI4wJetEOH0kpg69enIfNrr02TsNxzD4wdW3R0ZmY2QrmAF2FwEHbuTLOjPfdcunu8pweWL0/D5V7G08zMzsMFvJ1efz2daa9bBwMDMGECPPoo3H8/dHcXHZ2ZmZWIC3jezp5NZ9lr18KOHXDuHNx2WxomnzcPRo0qOkIzMyshF/C89PfDhg3pjLu/Py3h+fDD6Stg11xTdHRmZlZyLuCtdOYMbN+evru9a1d6bvbstMDI/PkwenSx8ZmZWWW4gLfCgQPw5JOwaVOao7y7O13bvvdemDKl6OjMzKyCXMAv1vHjsHVrKtx796Zr2QsWpO9u3367J1wxM7NcuYBfiMFBeP552LgRnnkmzZJ2ww2wejXcfTeMH190hGZm1iFcwJuxf39aW3vzZnjzTRg3DpYuhcWLYdo0f2/bzMzazgV8KAMDaS7yTZvg5ZfTEPncuWkVsLlzfUOamZkVygW81ttvw7Ztaa3tF16ACJg5M81Pfscd6czbzMxsBHABP3UqffVr69Y0vemZMzB1KqxcCXfdlbbNzMxGmM4t4CdOwOHD8MFZ8M47aVrTZcvSzWjTp/u6tpmZjWgdXMBPwrFj8KW74c47YdYsf/XLzMxKo3ML+MSJMKkbvv9g0ZGYmZldsEvyemFJcyS9KqlP0iMN9l8m6als/x5JU/KKpaGuSzxMbmZmpZVLAZfUBawBPgNcB9wp6bq6Zl8GjkfER4BvA9/MIxYzM7MqyusMfAbQFxGHIuIMsBXoqWvTA2zMtrcBt0o+JTYzM2tGXgV8ItBf83gge65hm4gYBE4A/qK1mZlZE/K6ia3RmXRcRBskLQWWAkyePHn4kWXG3DimZa9lZmbWbnkV8AFgUs3jbuDwEG0GJF0KjAWO1b9QRKwF1gJMnz79/wr8xZq62hO0mJlZeeU1hL4XmCrpakmjgUVAb12bXmBxtr0Q2B0RLSvQZmZmVZbLGXhEDEp6ENgFdAEbIuKgpFXAvojoBdYDmyT1kc68F+URi5mZWRXlNpFLROwEdtY991jN9mng83n9fTMzsyrLbSIXMzMzy4/KdNlZ0lvA31r4kuOBv7fw9UYq51ktzrNanGe1tDrPqyLiykY7SlXAW03SvoiYXnQceXOe1eI8q8V5Vks78/QQupmZWQm5gJuZmZVQpxfwtUUH0CbOs1qcZ7U4z2ppW54dfQ3czMysrDr9DNzMzKyUOqKAS5oj6VVJfZIeabB/iaS3JL2U/dxXRJzDIWmDpCOSDgyxX5K+k70Hf5Q0rd0xtkITed4s6URNXz7WqN1IJ2mSpF9JekXSQUlfadCm9H3aZJ6l71NJ75P0O0n7szy/0aDNZZKeyvpzj6Qp7Y90eJrMs/TH23dJ6pL0B0k7GuzLvz8jotI/pKlc/wJ8GBgN7Aeuq2uzBPhe0bEOM89PA9OAA0Psnws8S1oFbiawp+iYc8rzZmBH0XG2IM8JwLRs+wPAnxv835a+T5vMs/R9mvXRmGx7FLAHmFnXZjnwRLa9CHiq6LhzyrP0x9uaXL4GbG70/9mO/uyEM/AZQF9EHIqIM8BWoKfgmFouIn5Dg9XcavQAP4zkt8AVkia0J7rWaSLPSoiINyLixWz7H8ArwMS6ZqXv0ybzLL2sj/6ZPRyV/dTfgNQDbMy2twG3Smq07PKI1WSelSCpG/gs8IMhmuTen51QwCcC/TWPB2h8gPhcNgy5TdKkBvvLrtn3oQo+lQ3hPSvp+qKDGa5s6O0TpLOZWpXq0/fIEyrQp9lw60vAEeAXETFkf0bEIHACGNfeKIeviTyhGsfb1cDDwLkh9ufen51QwBt94qn/RLgdmBIRHwN+yf8+NVVJM+9DFbxImnrw48B3gZ8XHM+wSBoD/BT4akScrN/d4FdK2afnybMSfRoRZyPiRqAbmCHpo3VNKtGfTeRZ+uOtpHnAkYj4/Xs1a/BcS/uzEwr4AFD7Ca8bOFzbICKORsS/s4frgE+2KbZ2Ou/7UAURcfLdIbxIK+KNkjS+4LAuiqRRpKL244j4WYMmlejT8+VZpT4FiIi3gV8Dc+p2/bc/JV0KjKXEl4uGyrMix9ubgAWS/kq6LHuLpB/Vtcm9PzuhgO8Fpkq6WtJo0s0EvbUN6q4bLiBdh6uaXuCe7M7lmcCJiHij6KBaTdKH3r3OJGkG6X/8aLFRXbgsh/XAKxHxrSGalb5Pm8mzCn0q6UpJV2Tb7wdmA3+qa9YLLM62FwK7I7sDqiyaybMKx9uIWBER3RExhVRTdkfEF+qa5d6fua0HPlJExKCkB4FdpDvSN0TEQUmrgH0R0Qs8JGkBMEj6hLSksIAvkqQtpLt1x0saAFaSbiAhIp4grc0+F+gDTgH3FhPp8DSR50JgmaRB4F/AorIdBDM3AV8EXs6uJwJ8HZgMlerTZvKsQp9OADZK6iJ9APlJROyoOw6tBzZJ6iMdhxYVF+5FaybP0h9vh9Lu/vRMbGZmZiXUCUPoZmZmleMCbmZmVkIu4GZmZiXkAm5mZlZCLuBmZmYl5AJuZmZWQi7gZmZmJeQCbmZmVkL/AetgqZ5vu8OCAAAAAElFTkSuQmCC\n", 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\n", 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H9W19aujuUAyz2wgNUZ775rF1aze1wNAa971rhKGeWqMNm+KkV0ULtSsiQu2eJTLUTkSojchQO+Hej8PsRITYiQyzEx5iO6srrR07dszT592qVSsAsrOz6dWrF0uXLsXhcLBp0yY2b97M1q1b2bx5M5GRkaxYsQKAn/zkJxw5csQzfWz3nr3o1rMPbVK6eD7zovIqisodFFmPT+fz17o6zE3rRXUrRnXrhtUC4nIxrk87JqV3PON/j5oa/SA2pVQq0B9YFdiSCHH6srOzufHGGxk6dCiLFy8OdHGatEqHi8LyKgrLzBdyofXF7H5cUuk4qxqzy6U9te/SSgdllU5KrSbz0srq5vMyK7QrHa4692W3KSJCbUSE2AkPtREbEUqrGOuxVSs1tzbC7WYbdy01NMSG7SwvPxoWYvOEcGTYiSEc6R3Q1rqIUPsJteKGMnfuXLZt2+YJbKgexOYeid6+ffsTBs55VzyvvPJKVq1axZYtW/jss89wOp1cfvnlzJ8/H4A777yTtm3bkpaWxsi0NFJTu1Ba5fL8/RSWmb+fgrIqz9+Td8ArZTWZ17Nb+/K+7X3wr1I/AQ9wpVQL4APgHq11YS3rpwBTADlPVjRKTzzxBCUlJTz//EmHcIh60FpTWF79heq9FJZVUVrpPKN9VjpdlFSY5taSStN0XuJuMrceuwO6NjaFFYRmiY0Mrw7CsBqBGGrzeRiG2JTnvWu+r6dcnpqzCeSQAITxmXCPMvc+jWzp0qUnPY3Mu8b/29/+1nO/oqKCnTt34nKZH1aVlZUsXLiQvXv3eraJiori4YcfZtq0abRxhvG///2PtLQ02vXsgFIKl0tTVO7w/N3ll1WSX1pFflkVBaWVDTa+oT4C2oSulAoFPgMWa63/cartpQldNDYHDhygW7duXH/99cyePTvQxQkKWmsKyxzklVaSX1ZFfmml+aIsNV+Yp9O86XCZYHY3l5dUmCbSkgoHxZUOT2jXNgLZblNEh9mJCgshOtyEYFRYCFFhdrOEhhAVboLxbJuJvSkF4SF2IkNtRIWFeII4KswEcFRYdSi7fxSEhQRHGDdWRUVFbNu2zdMMP3r0aMaPH8+uXbvo3r07AImJiZ5Z5m666SbS09M9l3N109p00eSXmr/XvNJKs5RUUlDmwKV1sxmFroA3gVyt9T31eY0EuGhsfvWrX/Huu++ya9cuOnb0Xb9XU1Ba6SCvtIq8EutLrtSEdX5p/ULa6dKUVJh+y6KKKk9/dnW/pqPWGnOITdEiPITocBPM0eEhtAgzYdwiPIRo636Y3XehbILWBHJk2Ikh7P5R4B3OtpOcby0aTllZmaf53T1H/JYtW3jzzTe58sorWbp0Kdddd53n3HXvxXtGRTB/r/mllSREhfn0822sfeDDgeuBzUqpDdZzv9daLwxgmYQ4LV27duWhhx5qtuHtrk3nllaSW1JBbkkVuSUV5JVWUXaK5u4qp4vCsioKy80gI/ete7BRSYWDmjEfHmKjRXgILSJCaB0TTouIEPPYawnzQW3Z3WTtDl93KHvX0N3rI0PtJ50ARTRekZGRjBo1ilGjRnme01p7muDj4uIYO3YsW7Zs4cUXX6SiogKAVatWMWjQIJYtW8YXX3zhCfXu3bs36I+zRjMKvT6kBi5EYGitKSirIqekkpxiE9Y5JabpsK4+QYfL5RlgVmAFdaE1UKiw7Me1Z5uCmIhQYiJCzBLudT8i1BPOZyrEpogKrw5gd008KiyEaCuQo60atC+bQEXT4HA42LNnD1u3buWSSy4hKiqKv/3tbzz44IOewA8NDWXfvn20b++7gWyNsgn9TEiAi8Zi3bp17N27l4kTJ/qsGbaxKK5wkFNcwfHiCo4Xm8DOK6380Yhr9/nUhWUO8ssqvQabmQFAxRWOE7a3K0WLiBDiIkOJjQghNtIEdGxEKLERoUSF20975LWyBpdFhZsQjvZqIo+2asvR4dVN2EL4Wnl5OTt37mTLli1s376dv/zlLz79TpAAF8KHtNaeZrW9e/cG7VSoVU4XOcWVHC+uILu4guNFplbt3fSttaa00mmNwq30DDRzDzqrdJ4Y6tHhduIiQ4mLCCU2MtSEtfU4Otxe7y82m1Ke8I22+q6jwkKsvu3qUI4OC5H+ZNGkNdY+cCGC0nvvvcfSpUt54YUXgia8i8qrOF5cSXZRBdlFpnadV1rpOWe6rMpJXknlCUHtvu/dRG5TEBsRSlxUKO3iIkxYey31OXUp0grmGK+BZt592O5wbmotG0L4mgS4EKchOzubu+66i8GDB3PbbbcFujg/orUmr7SKY0XlZBdVcKzQhHVppROHy+V16ksV+SXVI8PLvZrHlRXSCVGhdEiIIz4ylPioUOKjwogJr7vGa1OK6HA7MREhtAgPPeF+iwgzEjw6PHjOTxaisZMAF+I03H333RQUFPDqq69itwe2T9Xp0uQUV3DMqlUfKyrneHElBaVV5FqnbuVa56jmlZqJULw7zFqEhxAfFUq3NjHER4WSEBVGfJTpj645qrpmOMdEmJHgMeHWALMI0wcttWYhGo4EuBCnYcKECQwZMoTevXs36Ps6XZrjxRUcLSznWKG53ZdTQnZR9Wjw3BIT2OVV1bVpu02REBVKm5hwerSNITEqjASrNu09ojsi1O4Z8R3rGQlugjnGqj1LX7MQjUuzDfBd9+wCoNtz3QJcEhFMrrrqKr+/h8sK62NFFRzJL+P7Y0XsPlpsRoSXVJigrnH6VkSojcSoMLq2akFCdBiJUWEkRocRE2GCNzoshNhIdziHEhsZcsIpW+H1nehZCNFoNNsAL95QHOgiiCBy9913k5KSwn333efT/WqtyS2pJLOgjO+zitlypIA92e6adcWPgjoqzE7L6DB6tYslMdqEdMsWYbRqEeEJ6NjIUOu2ujYt/c5CND3NNsCFqI/KykoefPBBZsyYwf3333/W+ysoq2L3sSLW7s9j25FCfsgpIbvQNINXeA0kiwqzk2gFdcvocNrEhdM5KZq2cZE/GvkdExESkKtICSECSwJciDrs3buXX/ziF2RkZHDnnXfy+OOPn9brC8uqyNiXy7oDeWzPLOKHnBKOFVacMMFJWIiNpOgwureJoUN8BKlJ0XRrHUNyQiRxUdUhHRUm/1WFECeSbwXR7FVWVrJkyRK01kRHRzNixAiKi4sZNGgQTqeTDz/8kJ///Od1vl5rTWZBOat/MGG9I7OIfTklHC+uwH3NDrtSJEaH0Tkpmk4to+jaugU928VyTqtoEqLC6n0OtRBCuEmAi2Zj5syZJ1xz+NixY7z77rt88cUXLFxYfQ0dp9NJbGwsM2bMYNiwYaSmpnrWVTpc7D5WzLoDeZ6w3p9TQonX7GWxESF0SIhkYGoCPdrGktYhlrT2cbRsES4XvRBC+IwEuGjUDh8+zA033EBqaiqPPvooHTp0OKP9zJw5k6lTpzJr1iyWLl0KwKhRo9i+fTsAzz77LIMHD6a0tBSbzdSEx105iW2Zhfx32R7WH8hne2YhB/PKPJfCDLEpOiREMqhLIr3axnJex3gGpMSTFBNReyGEEMKHJMBFo7Vx40bGjRtHfn4+K1asoH///kydOhUwzdbr1q3jnXfe4f3332fw4MF8+OGHde5r0qRJzJo1i23btpGWlgaYWdViY2P5858fZdKNU9h2pJCtJQW8/fpqth4p5FhRhef18ZGhnNO6BRd0S6Jvx3j6JsfTOSlamr2FEAEjAS4apa+//prLLruM+Ph4Vq5cSUxMDMnJyQC8/fbbTJ8+nb179xIaGsrIkSO55557ACgtLcXlcv1ojvLWrVuzdOlS0tLSyM7OBiA6LpExD/+b1wrsPPfUEgAUkJwQSb+O8fTrGE/vDnH0ahdLq5jwhjt4IYSoBwlw0Sj16NGDsWPHMmvWrB9dW3fRokWkpKTw0EMPMXHiRBITEz3r/vjHP/LBBx8we/ZsRo4ew66j5tzqrYcLWLN9H7kllZ5ty6ucFFU4uDQtmd7tY+nVPo6e7WJkxLcQIigE9JtKKfUacBlwTGudFsiyiMbhm2++YciQIbRt25aPP/641m3efvvtHz1X4XCyM6uI+AHjsB2K5Pp/byHyyzJcmCbu0Moijv5nGs7SApQ9lKioSEqKCsh8dxq/XbrUM7BNCCGCRaA78N4ALglwGUQjsXDhQkaOHMmTTz550u3Kq5xsOJjP69/8wNR31zH6b1/R64+LGf/iN7y6qYyIHiNIjI0mb9VH9MhdyedThzK10zGKsvYB8PRTT7B39y569erFtm3bmDt3bgMcnRBC+FZAa+Ba62VKqdRAlkE0DmvWrGHSpEmcd9553H333Z7nKxxOth4uYNUPuaw/kM/OrCIO5pV6zq+ODrfTo00MY85NZUCnBNLax9ExMRKAxx8/ytNPPw33XkdWViYAf/7znz0zqi1dupS5c+dyxx13NOzBCiGEDyit9am38mcBTIB/Vp8m9PT0dJ2RkeGT910/aj0A/b/q75P9iTO3Z88ehg4dSlRMLLPeW8DuQsXGgwV8f7SII/nlOK2/0egwO13btOC85HgGpybSt2M8yQmRJ72E5bFjx2jdujWZmZnMnz+f3/zmNw11WEIIcdaUUmu11um1rmvsAa6UmgJMAUhJSRmwf/9+n7yvBHhglVc6WHsgn1V7c3jxtXeojEoirM05npp1ZKidLq2i6d0+lkGpiQzu0vKUYS2EEE3NyQK80Q+31Vq/ArwCpgYe4OKIM1BcXsX6g/ms+SGXzYfN1baO5JfhcE+I0nkQKZGaAV3bkZ6ayPBzWnJO6xYS1kIIcRKNPsBFcMkvqWTrkQLW7MuzwrqYIwXlVFpX2gqxKdrHR9K/jZ2w/AP89saJ9EuOxy4TogghxGkJ9Glk/wFGAUlKqUPAdK31q4Esk6gf93Wsvz9adEJYZ+aXU1Zl5gW3KWgVE86AlAT6JMcyuHNLBndOZPvmDVxyySVEREQw656rJbyFEOIMBHoU+rWBfH9RPy6XJre0kn3HS8jYn8emQ/nsyS4hM7+MwvLqS2MmRofRvU0LeraPJb1TAkO7JNE+PuKEpvB169YxZswYWrVqxZdffklcXFwgDkkIIYJenQGulPq31vp6pdTdWuvnG7JQInC01uSUVHI4r5R1B/LZdCifXcdMzTq3pBL3IITYiBDaxUVyQfcW9E+OZ8g5iZzTKobIMHud+87KyuKKK64gMTGR5cuXn/GFSYQQQpy8Bj5AKdUJ+JVS6i3MNNEeWutcv5ZM+J3WmvzSKrIKy9h8uJD1+/P4/mgxRwrKOFZU4bnqVmSonTax4fTpEEdachyDUhPo2S6OpBZhpzXQ7H//+x/5+fkS3kII4QMnC/CXgEVAF2AtJwa4tp4XQaS4wkFWQTnfZxWx9kAu2zOLOJxXRlZhORVeg8xax4RzfkoCPdu1YEBKIuclx9EuPpKI0Lpr1/UxefJkLrzwQpm2VAghfKDOANdazwBmKKX+qbW+rQHLJHygwuHkWGEFP+SUsHZfHlsOF3Agt5SswnKKrH5rpaBldBjd2sTQtXU0/TvG0z8lgeSEKBKiQn12GtfLL79M165dGTt2rIS3EEL4yCkHsUl4N34ul+Z4SQVH8spZuz+XjdYgs6zCcnKLT+y3bhsbweDOUfTpEE96ajypSS1oHRNOqB9GghcWFvL3v/+dxx57jAkTJjB27Fifv4cQQjRXch54ECqpcHAkv4wthwvJ2J/LzqwijuSbfmv35CgRoTbaxEbQo00MvdrHkp6SQLe2MbSNjSA63L8fe0VFBf/85z95/PHHOX78OFdffTWzZ8/263sKIURzIwHeyDldmuyiCnYeLWT1D7lsOVzI/pwSjhZWeM63tlv91uclx9G9TQz9O8XTp30c7eIiifdhU3ht9uzZwyeffEJOTg6DBw9m/PjxfPfdd9x7772MHTuWJ598koEDB/rt/YUQormSAG9kSioc7DtezHc/5LLxQAHfHysis6CcgrIqzzYto8Po0iqac1q1oG9yHOenJNAhMZKk6HBstoaZftTpdPL888/z8MMPU1ZWht1u57e//S3jx49n5MiRrFmzhvT0WqfvFUII4QMS4AGktSarsJyMH/JYsz+XrYcLOZBXSk5xhWea10oAACAASURBVOeiHi3CQ2gbF8HgzomkdYhjYGoCqUnRtGoRTkgAZzCbMmUKr732GpdffjkvvPACKSkpJ9T0JbyFEMK/JMAbUEWVk02HCvhmz3E2Hsxn97FisgrLqXKatA4LMf3WI7om0btDHOmdEujZLpZWfhpkdrq01rhcLux2O7fffjtjx47l2muvlYuOCCFEAEiA+9Gh3FKW7cpmzb48tmcWciC3lNJKq99aKVrFhHN+pwR6t4tjQKd4+qXE0zomwm9hrbXmzTffZPv27dx5550kJyezaNEiVq9ezU033UTHjh3rfK3D4eDuu++mvLyc2bNnM2DAAAYMGOCXcgohhDg1CXAfKat08O2eHL7Zk2PmCj9WQm5ppWd9y+gweraLpWe7GNI7JZCemki7uEjsDdRnDfD3v/+dBx54gPDwcCZMmEBycjLFxcVMnz6dRx55hIsvvpibb76Zyy67jIiICM/rCgsLueaaa/j888954IEH0FpLrVsIIQJMAvwMOJwutmcW8c2ebDKs2vWRgnK01W8dExFC56RoLuzdmgEpCQw7J4kOCZEBDb0FCxbwu9/9jkmTJvHee+9hs5la/lVXXcXevXt5/fXXee2115g0aRLJyckcPHgQgGXLljF16lS2bdvGK6+8wi233BKwYxBCCFFNaXfqBIH09HSdkZFxVvuIiorir3/9KyM+GAHAiokrePDBByktLa11e5dLsy+nhHUH8li110yS8sPxEk+/dWSonc5J0fRqH8v5KfEM75pEp5bRZ1VGX9uxYweDBg2iW7duLF++nKioqFq3czqdfPHFF2RmZnLTTTcB0KNHD7Kyspg3bx4XXnhhQxZbCCGaPaXUWq11raOCm1WAR0VFUVZWBsCnXT8F4PLdlwMQGRlJSUkJRwrK2XQwn3UH8li7P48dWUWefusQG6S2jOK8jgkMTE1gSOeWpCZF43Q6+e6771i+fDmXXnopffv2Pcsj9a3i4mLuu+8+/vjHP5KcnHxar928eTOtW7emTZs2fiqdEEKIupwswJtVE/pf//pX7rrrLgB27959wrru435N30cWUVhhLuphV4oOcaF0Ccmn8MAGtixbQN6+bYz61U38477ZuFwunn32WTIyMli8eDF5eXkA/PSnP23Yg6pDYWEhy5cvJyEhgWHDhvHyyy+f0X769Onj45IJIYTwhYAGuFLqEuB5wA7M1lo/5c/3u/POOwE8Ie4WN/oWjsWeS2XGf2kbVsnbMx7n3LYxDBk4gOUbN9KxY0cmXnwxw4ffR1paGmBmILv//vtp3bo1V1xxBePGjWPMmDEkJiYC8NFHH3HZZZcRGhrqz0M6QU5ODv/4xz/48ssvWbt2LU6nk6uvvpphw4Y1WBmEEEI0jIAFuFLKDswELgQOAWuUUvO11tsauiyjEvO5bGgYoaH9SExMpF/HeAAefvhhevXqRc+ePX80AK1r165kZWXRqlUrz4Awt3Xr1jFhwgQuuOACpk+fTsuWLUlISCA5ORm73U5ZWRnFxcVUVlaSlJREeHj4WR+D1ppLL72UtWvXMnToUKZNm8bo0aMZOnToWe9bCCFEI6S1DsgCDAUWez2eBkw72WsGDBigz8aMGTM05lrm+lme1c/yrOfxjBkzzmrfNb3zzjs6MjLSs39AHz16VGut9YMPPuh5rkOHDnrRokVav/221p06aa2UuX37bZ2fn6+//vprvXv37jrf5/jx47q8vFxrrfWKFSv0xo0bfXocQgghAgfI0HVkYsAGsSmlrgIu0Vr/2np8PTBYaz21rtf4exBbXSPRz1RmZibff/89ubm55OXlccMNNxASEsLKlStZv349NpuNF198kb7btvFGSAhhDofntZUhIdwWEsJr5eVMmjSJOXPmANCmTRuqqqqIiYmhRYsWZGVlcdttt/HYY4/5tOxCCCECr7EOYqvtpOgf/ZpQSk0BpgCkpKSc1RuWlpZ6TiPr8EEHAGbcNeOkp5GdjXbt2tGuXbsfPT9s2DBPv/RNN91EaevWhBUVnbBNmMPBU2Fh/PzTT2nfvr3n+VtuuYWCggKKioooKioiLS2Nq6++2udlF0II0bgFsgY+FHhEa32x9XgagNb6ybpe44vzwN3Wj1oPQP+v+vtkf2fFZoPaPgelwOVq+PIIIYRoFE5WAw/kFTLWAN2UUp2VUmHANcD8AJYncOpqWTjLFgchhBBNV8ACXGvtAKYCi4HtwByt9dZAlSegHn8cas6OFhVlnhdCCCFqEdDzwLXWC4GFgSxDozB5srn9wx/gwAFT83788ernhRBCiBqa1UxsjdrkyRLYQggh6i2QfeBCCCGEOEMS4EIIIUQQkgAXQgghgpAEuBBCCBGEJMCFEEKIICQBLoQQQgQhCXAhhBAiCEmACyGEEEFIAlwIIYQIQhLgQgghRBCSABdCCCGCkAS4EEIIEYQkwIUQQoggJAEuhBBCBCEJcCGEECIIBSTAlVKTlFJblVIupVR6IMoghBBCBLNA1cC3ABOAZQF6fyGEECKohQTiTbXW2wGUUoF4eyGEECLoNfo+cKXUFKVUhlIqIzs7O9DFEUIIIRoFv9XAlVJfAm1rWfUHrfUn9d2P1voV4BWA9PR07aPiCSGEEEHNbwGutf6pv/YthBBCNHeNvgldCCGEED8WqNPIfq6UOgQMBRYopRYHohxCCCFEsArUKPSPgI8C8d5CCCFEUyBN6EIIIUQQkgAXQgghgpAEuBBCCBGEJMCFEEKIICQBLoQQQgQhCXAhhBAiCEmACyGEEEEoIOeBNwYt+rUIdBGEEEKIM9ZsA7zbc90CXQQhhBDijEkTuhBCCBGEJMCFEEKIICQBLoQQQgQhCXAhhBAiCCmtdaDLUG9KqWxgvw93mQQc9+H+Gis5zqZFjrNpkeNsWnx9nJ201q1qWxFUAe5rSqkMrXV6oMvhb3KcTYscZ9Mix9m0NORxShO6EEIIEYQkwIUQQogg1NwD/JVAF6CByHE2LXKcTYscZ9PSYMfZrPvAhRBCiGDV3GvgQgghRFBqFgGulLpEKbVTKbVbKfVQLetvVEplK6U2WMuvA1HOs6GUek0pdUwptaWO9UopNcP6N9iklDq/ocvoC/U4zlFKqQKvz/JPDV1GX1BKdVRKLVVKbVdKbVVK3V3LNkH/mdbzOIP+M1VKRSilViulNlrH+edatglXSr1vfZ6rlFKpDV/Ss1PP4wz671s3pZRdKbVeKfVZLev8/3lqrZv0AtiBPUAXIAzYCPSqsc2NwIuBLutZHudPgPOBLXWsvxT4HFDAEGBVoMvsp+McBXwW6HL64DjbAedb92OATOCbU32mwEvAH0+y398Ds/1U5scw579mncVxfl/L/8+TfqanOubGsFifUQvrfqj1WQ2psc3twEvW/WuA9wNdbj8dZ9B/33ody2+Bd2v7+2yIz7M51MAHAbu11nu11pXAe8AVAS6Tz2mtlwG5J9nkCuAtbXwHxCul2jVM6XynHscZcEqpr5RSeUqp8DPdh9Y6U2u9zrpfBKwGHqmx2Y8+U+DPWuu/WOUYpZQ6VGO/T2itfV7jUUp1BO7DhG/b+r6uluPcDnQ4yfvcqJRaUWMft7qPubGyPqNi62GotdQcgHQF8KZ1fx4wVimlGqiIPlHP42wSlFLJwDhgdh2b+P3zbA4B3gE46PX4ELV/QUy0miHnWV9GTU19/x2agqFWE97nSqneDfnGVjPZBZgvrfE+3Gd/TG3GW2P6TDsBOVrrY2e6g5McJ1ifKabGE3Wm7xFIVnPrBuAY8IXWus7PU2vtAAqAlg1byrNXj+OEpvF9+xzwO8BVx3q/f57NIcBr+8VT8xfhp0Cq1vo84EuqfzU1JfX5d2gK1mGmHuwLvAB83MDvfwPwHfAG8EvvFUqplkqp+UqpQquf8C/u2qRSKlUppZVSIV7bf6WUugP4APgEWGg9r5RSzwIXAousL8I062XTlVKPKaWiMc3r7ZVSxdbSXin1iFLqba/3GG/1VeZb79fTa90+pdT91v4LrP68iJoHrJT6KfCF13u9UVvt39rfT637jyil5iil3lJKFSmltlvlvUdrXWj1jX+ozPTJH2JqMNcA5wL9rffJt/b1hlLqMa/3ucXqd8y1/r3be63TSqlblVK7rFaSmQ1Vy9VaO7XW/YBkYJDXZ+YpXm0v83/JfKsexxn037dKqcuAY1rrtSfbrJbnfPp5NocAPwR4/8JLBo54b6C1ztFaV1gP/wUMaKCyNaRT/js0BVrrQncTntZ6IRCqlEpqwCLcALxjLRcrpdp4rZsJlGP6fX9lLSejgNusfXl/UVyEGQvwLnAL8AsgB/OZlgJorUuAnwFHtNYtrOWEz1sp1R34D3AP0ArzA+FTpVSY12ZXA5cAnYHzMP2XJ9Baf1njvX60TR3GY7q0koBwIFJr/aFSyg58hrnuQSrQHvi31no7MAWowARAfM0dKqXGAE9a5W5n7eO9GptdBgwE+lrbXVzP8vqE1jof+Arz7+rN83/U+iEXRyPvLjqZuo6ziXzfDgfGK6X2Yf6+xnj/MLb4/fNsDgG+BuimlOpsfTFdA8z33qBGX/B4TD9cUzMfuMGqvQ0BCrTWmYEulK8ppdq6a1RKqUGYv/GcBnrvEZim5DnWL/M9wP9Z6+zAROBPWusSrfUWTlLzsI6hB5Cptf5HjdVVmAFfmzE/GHZY71sAlJ1GkX8BLNBaf6G1rgL+BkQCw7y2maG1PqK1zsXUnPqdxv5PZQWm1v0v6777x84gTGg/YP0QiQe+sdZ1tm7r+kwnA69prddZITEN0/ye6rXNU1rrfK31AWApvj2mWimlWiml4q37kcBPMZ+bt/lUt9pcBSzR1gioYFGf42wK37da62la62StdSomU5Zora+rsZnfP8+QU28S3LTWDqXUVGAxZkT6a1rrrUqpR4EMrfV84C6l1HjAgfmFdGPACnyGlFL/wYzWTbKaLqdjBpCgtX4JU7u6FNiNqaXdFJiSnp16HOdVwG1KKQcmzK5pwC/BXwL/1Vq7r0T0rvXcs5gabggn9lmf7Mp6wzGBVmX1JyYCRUqpW631L1r77oUJ7oPW46mnUd723mXQWruUUgc5sR89y+t+qfUaX8nCHOf1mC/5COtYP7fe69eYEeben2kLYOdJPtP2mG4UALTWxUqpHMwx7fN6X7dSa5/+1g540/ohZ8P8yPusxvfQq8C/lVK7Md9D1zRAuXytPscZ9N+3dWnoz7PJBzh4mlIX1njuT173p2F+qQctrfW1p1ivgTsaqDh+U4/jfBETbg3Kqm1cDdiVUu6ACMeM9u8LbMF8YXWkukaS4rWLEus2CijUWq9QSu0E/qa1nq2UuhH4tfUjxW2GUqo1MAdYrrXOqNGde6ofLkeAPl7HoKzyHa7PMZ9CCV6Dzawv9B9dElFrvcJ661TgByAd07x9M9boXu/PVCn1S0y3QV2OYFoj3O8bjRk45ItjOmNa602YAXo1n/f+HioHJjVkuXytnscZ9N+33rTWX2G6Chr882wOTehCNIQrASemRtzPWnoCy4EbtNZOzGCsR5RSUUqpXngNctNaZ2NC5jplRvH+CjintjdSSg1USg1WSoVigrLceu+ajgItlVJxdZR5DjBOKTXW2td9mP7llad57LX5HlOjHmft+2HMD5r6WI057/0ppVS0MpODDLfWHQWSa/TTe3sXuEkp1U+Z0/iewMx5sO+Mj0SIRkoCXAjf+CXwutb6gNY6y71gao6TrUEsUzHNtVmYUeqv19jHLcADmP7d3tQdpLGYfuM8TBN4Dqb/+gRa6x2YQWp7lRll3r7G+p3AdZjR+seBy4HLtZkv4axorQswE1nMxvwwKcEM6qnPa51WWboCB6zX/cJavQTYCmQppY7X8tr/AX/EjNzPxPwICsamaCFOSS5mIkSAeDWLjwh0WYQQwUdq4EIIIUQQkgAXQgghgpA0oQshhBBBSGrgQgghRBCSABdC1Mk6ZW2TdSpXtDLzptec21oIEQBB1YSelJSkU1NTA10MIYQQokGsXbv2uNb6R5MgQZDNxJaamkpGRkagiyGEEEI0CKVUnVMuSxO6EEIIEYQkwIUQQoggJAEuhBBCBKGg6gP3pV337AKg23PdAlwSIYRoZoqKYOdO2L4dduwwy86d4HJBq1aQlGRuO3eGfv3M0qbNqffbzDTbAC/eUBzoIgghRNOlNWRmnhjS7vuHva7uardD167QoweEhkJ2ttlu2TI47nW9mjZtoH9/SE+HAQPMbYcOcOIldJuVZhvgQgghfMDhgD17qsPZO7ALC6u3i4mBnj1h7Fhz26OHue3SBcLquDpsXh5s3AgbNphl/Xp48klwWlfPbdMGBg+GIUPM7cCB5n2aCb8EuFKqI/AW0BZwAa9orZ+vsY0CngcuBUqBG7XW6/xRHiGEEGeppOTEmrR72b0bqqqqt+vQAc49F66/3gR0z57mcbt2p19bTkiAUaPM4lZWZkI9IwPWrIFVq2D+fLPOZoPzzoPhw2HECLMkJ5/tkTda/qqBO4D7tNbrlFIxwFql1Bda621e2/wM6GYtg4F/WrdCCCECJSfnxIDets3cHjhQvY3dDuecY8L5iiuqQ/rccyE21r/li4w0Ne4hQ6qfy801Yb5yJXzzDbzxBsycadZ17gwjR1YvnTv7t3wNyC8BrrXOBDKt+0VKqe1AB8A7wK8A3tJmKrjvlFLxSql21muFEEL4i9Zw5MiPQ3rbNtMH7RYZaUJ5xIjq2nTPnqbPuq5m70BITISLLzYLmGb9jRth+XL4+mtTQ3/jDbMuNdU0448dC2PGBPXgOL/3gSulUoH+wKoaqzoAB70eH7KekwAXQghf0NrUnLdt+/Hi3T8dH2+Cefz4E4O6UyfTLB1sQkLMQLcBA+Cee8zo9q1b4auvYMkSmDcPXn3VbNu3L1x0kQn/4cMhIiKgRT8dfg1wpVQL4APgHq11Yc3VtbzkRxOzK6WmAFMAUlJSfF5GIYQIei4X7N9vgnnr1uqQ3r4dir3OuGnTxgTzddeZ2169zNKmTdMezW2zQZ8+ZrnzTjMIbt06+PJL+O9/4bnn4JlnTIvDmDEwbhxceqn5AdOI+S3AlVKhmPB+R2v9YS2bHAI6ej1OBo7U3Ehr/QrwCkB6enrwXHlFCCF8zR3U7pDeutUs27dDaWn1du3bQ+/ecPPNJqDdYd2yZeDK3pjY7WbE+sCBMG2a+ZHz9dewaBEsXAgLFpjtevWCyy4zLRNDhpjXNSJ+uRqZNcL8TSBXa31PHduMA6ZiRqEPBmZorQedbL/p6enaVxczWT9qPQD9v+rvk/0JIYTPaG3Old6yxQS0+3bbNjMa3M0d1O7FXaOOjw9c2YOd1vD999VB/vXXpk89KcmE+ZVXmib3yMgGKY5Saq3WOr22df6qgQ8Hrgc2K6U2WM/9HkgB0Fq/BCzEhPduzGlkN/mpLEII0XgdP24CuuZSUFC9TZs2kJZmatTeYZ2QELhyN1VKmXPUe/SAe+81n8OiRWYg3Mcfm8FwUVFwySUwYYIJ9bi4wBQ1mK4HLjVwIUTQKi01tejNm01Au2+zsqq3SUgwQd27t+mvdYd1UlLgyi2qVVWZGvmHH5owz8w0s8dddBFMmmROqfNx60cgauBCCNE8uVywdy9s2mRCetMms+zZY5pnwTS/9u5tanHuoO7T58wmOxENJzQUfvpTs7z4oplEZt48syxYYNZfeSW8/36DfI4S4EIIcaby86sD2r1s3lw9oEwp6NbNnKp03XXVI6G7dGl0A6LEabLZYOhQs/ztb7B6Ncyda/rLG+hHmAS4EEKcirtW7Z6Xe+NGs3jPTpaYaIL6lltMSPfta/qpo6ICV27RMJQyc7EPbtjJRCXAhRDCW1mZ6Zt2X0BjwwZTs3afT223mwFOw4fDbbeZoD7vPDMiXJq/RQOSABdCNF+5udVXuXIvO3aYGjeYeb379oWbbjLXpO7b1/RXB9FsXaLpkgAXQjQPmZlm9i33sn69mRTFLTnZhPTEiea60/36mXmzpVYtGikJcCFE0+K+UEdGBqxda8J67drq07XcA8uGDIHbb68O61atAltuIU6TBLgQIrgdOWICOiOjOrSPHjXrbDYzjehFF8H555ulXz+IiQlsmYXwAQlwIUTwyMkx133OyDC3a9aYpnEwYd2rlzm32n0lqr59ITo6sGUWwk8kwIUQjVNpqWn+Xr3aBPXq1eZULrcePcw1ndPTzUUpJKxFMyMBLoQIPJfLjP5etap62bzZXPYRoGNHGDQIfvMbE9YDBpgR4kI0YxLgQoiGl5NjQvrbb83t6tXVF++IizNh/dBDZmKMgQOhbdvAlleIRkgCXAjhX06nmRjl22+rl127zDq73cxadu211TNZ9ehh+rOFECclAS6E8K2CAlOr/uYbWLnS3C8qMutatzZzR998szmNKz1d+q2FOEMS4EKIs3PgAKxYYQJ7xQrTd621qUX36QPXX29Ce9gw6NxZJkYRwkckwIUQ9edymWtaL19ulhUr4NAhs65FCxPUEyaYecIHDZKBZkL4kQS4EKJuVVVmytFly8yyYgXk5Zl17dvDiBFwwQUmsPv0gRD5ShGiocj/NiFEtYoKc87111+bZeVKKCkx67p3N7Xrn/zEBLc0hwsRUH4JcKXUa8BlwDGtdVot60cBnwA/WE99qLV+1B9lEUKchDuwly6Fr74ygV1ebtb16QM33ggjR5patpzKJUSj4q8a+BvAi8BbJ9lmudb6Mj+9vxCiNlVVZhrSpUvN8s035vrXSpmZzH7zGxg1ygR2y5aBLq0Q4iT8EuBa62VKqVR/7FsIcRpcLti0Cf73P1iyxPRjFxebdeedB7fcAqNHm2bxxMTAllUIcVoC2Qc+VCm1ETgC3K+13hrAsgjRdPzwA3zxBXz5pallHz9unu/e3ZzSNWaMaRaXy2cKEdQCFeDrgE5a62Kl1KXAx0C32jZUSk0BpgCkpKQ0XAmFCBZ5eaaG7Q5t9wU/2reHSy81gT12LCQnB7acQgifCkiAa60Lve4vVErNUkolaa2P17LtK8ArAOnp6boBiylE41RVBd99B//9r1kyMkxTeUyMaQ6/5x746U/h3HNllLgQTVhAAlwp1RY4qrXWSqlBgA3ICURZhAgK+/bBokWweLHpyy4sNDOdDR4MDz8MF11kJk4JDQ10SYUQDcRfp5H9BxgFJCmlDgHTgVAArfVLwFXAbUopB1AGXKO1ltq1EG5lZWbA2eefm+DeudM8n5ICv/gFXHyxaRaPjw9sOYUQAeOvUejXnmL9i5jTzIQQbnv3msBeuNAMPisrg/Bwc1rXrbfCJZeYK3VJs7gQApmJTYjAqaoyU5MuWGCWHTvM8+ecA7/+NfzsZ2a0eFRUYMsphGiUJMCFaEjZ2aaW/emnZgBaYSGEhZmgvvVWM2q8W60nZAghxAkkwIXwJ61h+3aYP9+E9rffmufatYOrr4Zx48yI8RYtAl1SIUSQkQAXwtccDtM0Pn++WfbsMc+ffz786U9w+eXQv78ZRS6EEGdIAlwIXygpMU3iH38Mn30GubmmaXzsWLj/frjsMplIRQjhUxLgQpypnBzTLP7RRya8y8shIcGE9RVXmFO9pGlcCOEnEuBCnI7Dh01gf/ihOU/b6YSOHWHKFLjySnMVrxD5byWE8D/5phHiVH74AT74wIT2t9+a5849Fx58ECZMMH3bcm62EKKBSYALUZtdu0xoz5sHa9ea584/Hx57zIR2z56BLZ8QotmTABfCbfdumDsX5syBDRvMc4MHwzPPwMSJ0LlzYMsnhBBeJMBF87Zvnwns99+HdevMc0OGwN//DlddZeYeF0KIRkgCXDQ/ubnw73/De++Zy3KCqWn/4x8mtDt2DGz5hBCiHiTARfNx+LAJ6ZdfNudt9+sHTz1lZkST5nEhRJCRABdN35498PTT8MYb5rSva66B3/0Ozjsv0CUTQogzJgEumq4tW+DJJ01TeWgo3HwzPPCA1LaFEE2CBLhoelavhieegE8+MTOh3Xcf3HuvuYCIEEI0ERLgomnQGr76ygT3l1+aKU0feQTuvBMSEwNdOiGE8Dm/XA5JKfWaUuqYUmpLHeuVUmqGUmq3UmqTUup8f5RDNANaw4IFMHw4jBljms2feQb274fp0yW8hRBNlr+uZ/gGcMlJ1v8M6GYtU4B/+qkcoqlyOs352/37m4uHHDkCM2eaaU/vvx9iYgJdQiGE8Cu/BLjWehmQe5JNrgDe0sZ3QLxSSjooxalVVcGbb0Lv3vCLX0BZGbz+upn69PbbISIi0CUUQogG4a8a+Kl0AA56PT5kPSdE7crLYdYs6NYNbrzRBPWcObBtm3kcGhroEgohRIMK1CC22i7dpGvdUKkpmGZ2UmRay+anuNhMvPK3v0FWFgwdaprKL71UrgAmhGjWAhXghwDv+SqTgSO1bai1fgV4BSA9Pb3WkBdNUF4evPACPP+8mfp07Fh4910YNUqCWwghCFwT+nzgBms0+hCgQGudGaCyiMbk6FF46CHo1MmMIh8+3FyD+8svYfRoCW8hhLD4pQaulPoPMApIUkodAqYDoQBa65eAhcClwG6gFLjJH+UQQeTgQXP617/+BRUVZn7y3/9epjsVQog6+CXAtdbXnmK9Bu7wx3uLILN7t7mgyFtvmXO6r7/e1MC7dw90yYQQolGTmdhEYGzebGZNmzPHjCCfMsXMU96pU6BLJoQQQUECXDSs774zwf3pp2aylQcegHvugbZtA10yIYQIKhLgwv+0hiVLTHAvWWKmN330UZg61cxZLoQQ4rRJgAv/cblMTfvJJ2HVKnM1sL//3TSXt2gR6NIJIURQkwAXvudwmGtwP/UUbN1qrr/98svwy19CeHigSyeEEE2CBLjwnfJyMy/5M8+Yi4qkpcE775hTwkLkT00IIXxJvlXF2SsshJdegn/8w0zEMniweRK0PgAAC2hJREFUmUFt3DiwBWquICGEaNokwMWZO3YMZswwc5Pn58NFF8G0aTBypMyYJoQQfiYBLk7fvn3m4iKvvmpmTZswwQT3gAGBLpkQQjQbEuCi/jZvhqefhv/8xzSNX389/O530KNHoEsmhBDNjgS4OLUVK8yI8gULIDoa7rwT7rsPkpMDXTIhhGi2JMBF7Vwu+Owz+OtfYeVKSEoyk6/ccYeZiEUIIURASYCLE1VWmlO/nnkGtm+H1FRzXe5f/QqiogJdOiGEEBYJcGEUFMArr8Bzz8GRI9C3L7z7LkyaJOdwCyFEIyTfzM3d4cPmnO2XXzbnc48ZA6+9Zk4Jk1PBhBCi0ZIAb662bDGngr37Ljidpqb9wANyKpgQQgQJCfDmRGtYutT0by9aZPq0b73VXM6zS5dAl04IIcRpkABvDqqqYM4cU+PesAFat4bHHjPh3bJloEsnhBDiDPhtomql1CVKqZ1Kqd1KqYdqWX+jUipbKbXBWn7tr7I0W/n5JrS7dIHrrjOzpv3rX7B/P/zhDxLeQggRxPxSA1dK2YGZwIXAIWCNUmq+1npbjU3f11pP9UcZmrW9e80c5a++CsXFMHq0udjIz34mFxcRQogmwl9N6IOA3VrrvQBKqfeAK4CaAS58RWv45ht49ln4+GMT1NdeC/feC/37B7p0QgghfMxf1bEOwEGvx4es52qaqJTapJSap5Tq6KeyNG3uiVcGDYILLjCD1B580Fxw5K23JLyFEKKJ8leA13YCsa7x+FMgVWt9HvAl8GatO1JqilIqQymVkZ2d7eNiBrHsbHj8cejc2fRvFxXBP/8JBw/CE09Ah9p+LwkhhGgq/NWEfgjwrlEnA0e8N9Ba53g9/Bfw19p2pLV+BXgFID09veaPgOZn0yYz8co775hBaRdeCLNnw8UXS/+2EEI0I/4K8DVAN6VUZ+AwcA3wf94bKKXaaa0zrYfjge1+Kkvwczhg/nwzJ/lXX0FkJNx4I9x1F/TqFejSCSGECAC/BLjW+v/bu78Yqc4yjuPfX7dQTTE0gRoJC6VWekGtViQE09Q0tGkrFvZCTKEof5SSQEk1XpBiUhp7540StU2lQoMoUIvGLoSWatB6JYK1CARrVqJlSxsqf7WIZNvHi/dUJ+NsmbJz5uw58/skm5yZ8+7s88y7Oc+c95x53wFJK4FdQBewISIOSXoE2BcRvcADkuYAA8BJYHEesZTaiRPp7Pqxx+CVV+Caa9LqYEuXekUwM7MOl9tELhGxE9hZ99yamu3VwOq8/n6p7dsHjz4KW7akYfKZM9Ow+ezZ0NVVdHRmZjYMeCa24eL8eXj66VS49+yBK69MS3jefz/ccEPR0ZmZ2TDjAl60I0fSSmDr16ch8+uvT5OwLFwIo0cXHZ2ZmQ1TLuBFGBiAnTvT7GjPPZfuHu/pgRUr0nC5l/E0M7OLcAFvp1dfTWfaTzwB/f0wbhw89BDcdx90dxcdnZmZlYgLeN7eeiudZa9bBzt2wNtvwx13pGHyu++GESOKjtDMzErIBTwvR4/Chg3pjPvo0bSE56pV6Stg111XdHRmZlZyLuCtdOECbN+evru9a1d67vbb0wIjs2fDyJHFxmdmZpXhAt4KBw/Ck0/Cpk1pjvLu7nRte8kSmDSp6OjMzKyCXMAv1alTsHVrKtx796Zr2XPmpO9u33mnJ1wxM7NcuYC/FwMD8PzzsHEjPPNMmiXtxhth7VpYsADGji06QjMz6xAu4M3Yvz+trb15M7z+OowZA8uWwaJFMHWqv7dtZmZt5wI+mP7+NBf5pk1w4EAaIp81K60CNmuWb0gzM7NCuYDXOn0atm1La22/8AJEwIwZaX7ye+5JZ95mZmbDgAv4uXPpq19bt6bpTS9cgMmT4eGH4d5707aZmdkw07kF/MwZOHYMPngLvPlmmtZ0+fJ0M9q0ab6ubWZmw1oHF/CzcPIkfGkBzJ8Pt9zir36ZmVlpdG4BHz8eJnTD91cWHYmZmdl7dlleLyzpLkkvS+qT9GCD/VdIeirbv0fSpLxiaajrMg+Tm5lZaeVSwCV1AY8CnwGmAPMlTalr9mXgVER8BPg28M08YjEzM6uivM7ApwN9EXEkIi4AW4GeujY9wMZsextwm+RTYjMzs2bkVcDHA0drHvdnzzVsExEDwBnAX7Q2MzNrQl43sTU6k45LaIOkZcAygIkTJw49ssyom0a17LXMzMzaLa8C3g9MqHncDRwbpE2/pMuB0cDJ+heKiHXAOoBp06b9X4G/VJPXeoIWMzMrr7yG0PcCkyVdK2kkMA/orWvTCyzKtucCuyOiZQXazMysynI5A4+IAUkrgV1AF7AhIg5JegTYFxG9wHpgk6Q+0pn3vDxiMTMzq6LcJnKJiJ3Azrrn1tRsnwc+n9ffNzMzq7LcJnIxMzOz/KhMl50lvQH8rYUvORb4ewtfb7hyntXiPKvFeVZLq/O8JiKubrSjVAW81STti4hpRceRN+dZLc6zWpxntbQzTw+hm5mZlZALuJmZWQl1egFfV3QAbeI8q8V5VovzrJa25dnR18DNzMzKqtPPwM3MzEqpIwq4pLskvSypT9KDDfYvlvSGpJeyn6VFxDkUkjZIOi7p4CD7Jek72XvwR0lT2x1jKzSR562SztT05ZpG7YY7SRMk/UrSYUmHJH2lQZvS92mTeZa+TyW9T9LvJO3P8vxGgzZXSHoq6889kia1P9KhaTLP0h9v3yGpS9IfJO1osC///oyISv+QpnL9C/BhYCSwH5hS12Yx8L2iYx1inp8GpgIHB9k/C3iWtArcDGBP0THnlOetwI6i42xBnuOAqdn2B4A/N/i/LX2fNpln6fs066NR2fYIYA8wo67NCuDxbHse8FTRceeUZ+mPtzW5fA3Y3Oj/sx392Qln4NOBvog4EhEXgK1AT8ExtVxE/IYGq7nV6AF+GMlvgaskjWtPdK3TRJ6VEBGvRcSL2fY/gMPA+Lpmpe/TJvMsvayP/pk9HJH91N+A1ANszLa3AbdJarTs8rDVZJ6VIKkb+Czwg0Ga5N6fnVDAxwNHax730/gA8blsGHKbpAkN9pdds+9DFXwqG8J7VtINRQczVNnQ2ydIZzO1KtWn75InVKBPs+HWl4DjwC8iYtD+jIgB4Awwpr1RDl0TeUI1jrdrgVXA24Psz70/O6GAN/rEU/+JcDswKSI+BvyS/31qqpJm3ocqeJE09eDHge8CPy84niGRNAr4KfDViDhbv7vBr5SyTy+SZyX6NCLeioibgG5guqSP1jWpRH82kWfpj7eS7gaOR8Tv361Zg+da2p+dUMD7gdpPeN3AsdoGEXEiIv6dPXwC+GSbYmuni74PVRARZ98Zwou0It4ISWMLDuuSSBpBKmo/joifNWhSiT69WJ5V6lOAiDgN/Bq4q27Xf/tT0uXAaEp8uWiwPCtyvL0ZmCPpr6TLsjMl/aiuTe792QkFfC8wWdK1kkaSbiborW1Qd91wDuk6XNX0AguzO5dnAGci4rWig2o1SR965zqTpOmk//ETxUb13mU5rAcOR8S3BmlW+j5tJs8q9KmkqyVdlW2/H7gd+FNds15gUbY9F9gd2R1QZdFMnlU43kbE6ojojohJpJqyOyK+UNcs9/7MbT3w4SIiBiStBHaR7kjfEBGHJD0C7IuIXuABSXOAAdInpMWFBXyJJG0h3a07VlI/8DDpBhIi4nHS2uyzgD7gHLCkmEiHpok85wLLJQ0A/wLmle0gmLkZ+CJwILueCPB1YCJUqk+bybMKfToO2Cipi/QB5CcRsaPuOLQe2CSpj3QcmldcuJesmTxLf7wdTLv70zOxmZmZlVAnDKGbmZlVjgu4mZlZCbmAm5mZlZALuJmZWQm5gJuZmZWQC7iZmVkJuYCbmZmVkAu4mZlZCf0HtLmvbbiMB4gAAAAASUVORK5CYII=\n", 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2LjV0TyiG2m04QpT3vnls3dpNLdBR7b5vjdDhrTXasClOeFU0h10R7rB7lwiHnXCHjQiHnTDfx6F2wkPsRITaCQuxndGV1o4ePert827VqhUAWVlZ9OrVi6VLl+J0OtmwYQMbN25k8+bNbNy4kYiICJYvXw7AL37xCw4fPuydPrZ7z15069mHNsldvJ9/YVklhWXm8y8qd57S5691VZib1ouqVoyq1g2rBcTtZlyfdkxK63ja/x7VNfpBbEqpFKA/sCKwJRHi1GVlZXHjjTcydOhQFi9eHOjiNGkVTjcFZZUUlJov5ALri9nzuLjCeUY1Zrdbe2vfJRVOSitclFhN5iUVVc3npVZoVzjdte7LblOEO2yEh9gJc9iICXfQKtp6bNVKza2NMLvZxlNLdYTYsJ3h5UdDQ2zeEI4IPT6EI3wD2loX7rAfVytuKPPmzWPLli3ewIaqQWyekejt27c/buCcb8XzyiuvZMWKFWzatInPP/8cl8vF5Zdfzvz58wG44447aNu2LampqYxMTSUlpQsllW7v309Bqfn7yS+t9P49+Qa8UlaTeR27tS/v294P/yp1E/AAV0q1AD4E7tJaF9SwfiowFZDzZEWj9Nhjj1FcXMyzz55wCIeoA601BWVVX6i+S0FpJSUVrtPaZ4XLTXG5aW4trjBN58WeJnPrsSega2JTWEFolpiIsKogDK0WiA6b38MwxKa87139fb3l8tacTSCHBCCMT4dnlLnvaWRLly494WlkvjX+P/zhD9775eXlbN++Hbfb/LCqqKhg4cKF7N6927tNZGQkDz/8MNOnT6eNK5T//e9/pKam0q5nB5RSuN2awjKn9+8ur7SCvJJK8koryS+paLDxDXUR0CZ0pZQD+BxYrLX+x8m2lyZ00djs37+fbt26cf311/PKK68EujhBQWtNQamT3JIK8korySupMF+UJeYL81SaN51uE8xF5U6Kykwzuae5vKjC6Q3tmkYg222KqFA7kaEhRIWZEIwMDSEy1G4WRwiRYSYYz7SZ2JdSEBZiJ8JhIzI0xBvEkaEmgCNDq0LZ86MgNCQ4wrixKiwsZMuWLd5m+NGjRzN+/Hh27NhB9+7dAUhISPDOMjdlyhTS0tK8l3P10Np00eSVmL/X3JIKsxRXkF/qxK11sxmFroA3gRyt9V11eY0EuGhsfvOb3/Duu++yY8cOOnb0X79XU1BS4SS3pJLcYutLrsSEdV5J3ULa5dbefuvCctOfXWgFdZH1fE015hCbokVYCFFhJpijwkJoEWrCuEVYCFHW/VC7/0LZBK0J5IjQ40PY86PAN5xtJzjfWjSc0tJSb/O7Z474TZs28eabb3LllVeydOlSrrvuOu+5676L74yKYP5e80oqiI8M9evn21j7wIcD1wMblVLrrOce1FovDGCZhDglXbt25YEHHmi24e2pTeeUVJBTXE5OcSU5xeXkllRSepLm7kqXm4LSSgrKzCAjz61nsFFxuZPqMR8WYqNFWAgtwkNoHR1Gi/AQ89hnCfVDbdnTZO0JX08o+9bQPesjHPYTToAiGq+IiAhGjRrFqFGjvM9prb1N8LGxsYwdO5ZNmzbxwgsvUF5eDsCKFSsYNGgQy5Yt48svv/SGevfu3Rv0x1mjGYVeF1IDFyIwtNbkl1aSXVxBdpEJ6+xi03RYW5+g0+32DjDLt4K6wBooVFD689qzTUF0uIPo8BCzhPncD3d4w/l0hdgUkWFVAeypiUeGhhBlBXKUVYP2ZxOoaBqcTie7du1i8+bNXHzxxURGRvK3v/2N+++/3xv4DoeDvXv30r69/wayNcom9NMhAS4aizVr1rB7924mTpzot2bYxqKo3El2UTnHiso5VmQCO7ek4mcjrj3nUxeUOskrrfAZbGYGABWVO4/b3q4ULcJDiI1wEBMeQkyECeiYcAcx4Q4iw+ynPPJaWYPLIsNMCEf5NJFHWbXlqLCqJmwh/K2srIzt27ezadMmtm7dyl//+le/fidIgAvhR1prb7Pa7t27g3Yq1EqXm+yiCo4VlZNVVM6xQlOr9m361lpTUuGyRuFWeAeaeQadVbiOD/WoMDuxEQ5iwx3ERDhMWFuPo8Lsdf5isynlDd8oq+86MjTE6tuuCuWo0BDpTxZNWmPtAxciKL333nssXbqU559/PmjCu7CskmNFFWQVlpNVaGrXeSWV3gtflFa6yC2uOC6oPfd9m8htCmLCHcRGOmgXG27C2mepy6lLEVYwR/sMNPPtw/aEc1Nr2RDC3yTAhTgFWVlZ/P73v2fw4MHceuutgS7Oz2ityS2p5GhhGVmF5RwtMGFdUuHC6Xb7nPpSSV5x1cjwMp/mcWWFdHykgw7xscRFOIiLdBAXGUp0WO01XptSRIXZiQ4PoUWY47j7LcLNSPCosOA5P1mIxk4CXIhTcOedd5Kfn8+rr76K3R7YPlWXW5NdVM5Rq1Z9tLCMY0UV5JdUkmOdupVjnaOaW2ImQvHtMGsRFkJcpINubaKJi3QQHxlKXKTpj64+qrp6OEeHm5Hg0WHWALNw0wcttWYhGo4EuBCnYMKECQwZMoTevXs36Pu63JpjReUcKSjjaIG53ZtdTFZh1WjwnGIT2GWVVbVpu00RH+mgTXQYPdpGkxAZSrxVm/Yd0R3usHtHfMd4R4KbYI62as/S1yxE49JsA3zHXTsA6PZMtwCXRASTq666qt7fw22F9dHCcg7nlfLT0UJ2HikyI8KLy01QVzt9K9xhIyEylK6tWhAfFUpCZCgJUaFEh5vgjQoNISbCE84OYiJCjjtlK6yuEz0LIRqNZhvgReuKAl0EEUTuvPNOkpOTueeee/y6X601OcUVZOSX8lNmEZsO57Mry1OzLv9ZUEeG2mkZFUqvdjEkRJmQbtkilFYtwr0BHRPhsG6ratPS7yxE09NsA1yIuqioqOD+++/nueee49577z3j/eWXVrLzaCGr9+Wy5XABe7KLySowzeDlPgPJIkPtJFhB3TIqjDaxYXROjKJtbMTPRn5Hh4cE5CpSQojAkgAXoha7d+/mV7/6Fenp6dxxxx3MmjXrlF5fUFpJ+t4c1uzPZWtGIXuyizlaUH7cBCehITYSo0Lp3iaaDnHhpCRG0a11NEnxEcRGVoV0ZKj8VxVCHE++FUSzV1FRwZIlS9BaExUVxYgRIygqKmLQoEG4XC4++ugjfvnLX9b6eq01GfllrNxjwnpbRiF7s4s5VlSO55oddqVIiAqlc2IUnVpG0rV1C3q2i+GsVlHER4bW+RxqIYTwkAAXzcbs2bOPu+bw0aNHeffdd/nyyy9ZuLDqGjoul4uYmBiee+45hg0bRkpKinddhdPNzqNFrNmf6w3rfdnFFPvMXhYTHkKH+AgGpsTTo20MqR1iSG0fS8sWYXLRCyGE30iAi0bt0KFD3HDDDaSkpPDII4/QoUOH09rP7NmzmTZtGnPmzGHp0qUAjBo1iq1btwLw9NNPM3jwYEpKSrDZTE143JWT2JJRwH+X7WLt/jy2ZhRwILfUeynMEJuiQ3wEg7ok0KttDOd0jGNAchyJ0eE1F0IIIfxIAlw0WuvXr2fcuHHk5eWxfPly+vfvz7Rp0wDTbL1mzRreeecd3n//fQYPHsxHH31U674mTZrEnDlz2LJlC6mpqYCZVS0mJoa//OURJt04lS2HC9hcnM/br69k8+ECjhaWe18fF+HgrNYtOK9bIn07xtE3KY7OiVHS7C2ECBgJcNEoffPNN1x22WXExcXx/fffEx0dTVJSEgBvv/02M2bMYPfu3TgcDkaOHMldd90FQElJCW63+2dzlLdu3ZqlS5eSmppKVlYWAFGxCYx5+N+8lm/nmSeWAKCApPgI+nWMo1/HOHp3iKVXuxhaRYc13MELIUQdSICLRqlHjx6MHTuWOXPm/OzauosWLSI5OZkHHniAiRMnkpCQ4F33pz/9iQ8//JBXXnmFkaPHsOOIObd686F8Vm3dS05xhXfbskoXheVOLk1Nonf7GHq1j6Vnu2gZ8S2ECAoB/aZSSr0GXAYc1VqnBrIsonH47rvvGDJkCG3btuWTTz6pcZu33377Z8+VO11szywkbsA4bAcjuP7fm4j4qhQ3ponbUVHIkf9Mx1WSj7I7iIyMoLgwn4x3p/OHpUu9A9uEECJYBLoD7w3g4gCXQTQSCxcuZOTIkTz++OMn3K6s0sW6A3m8/t0epr27htF/+5pef1rM+Be+49UNpYT3GEFCTBS5Kz6mR873fDFtKNM6HaUwcy8ATz7xGLt37qBXr15s2bKFefPmNcDRCSGEfwW0Bq61XqaUSglkGUTjsGrVKiZNmsQ555zDnXfe6X2+3Oli86F8VuzJYe3+PLZnFnIgt8R7fnVUmJ0ebaIZc3YKAzrFk9o+lo4JEQDMmnWEJ598Eu6+jszMDAD+8pe/eGdUW7p0KfPmzeP2229v2IMVQgg/UFrrk29VnwUwAf55XZrQ09LSdHp6ul/ed+2otQD0/7q/X/YnTt+uXbsYOnQokdExzHlvATsLFOsP5PPTkUIO55Xhsv5Go0LtdG3TgnOS4hickkDfjnEkxUec8BKWR48epXXr1mRkZDB//nx+97vfNdRhCSHEGVNKrdZap9W4rrEHuFJqKjAVIDk5ecC+ffv88r4S4IFVVuFk9f48VuzO5oXX3qEiMpHQNmd5a9YRDjtdWkXRu30Mg1ISGNyl5UnDWgghmpoTBXijH26rtX4ZeBlMDTzAxRGnoaiskrUH8li1J4eNh8zVtg7nleL0TIjSeRDJEZoBXduRlpLA8LNaclbrFhLWQghxAo0+wEVwySuuYPPhfFbtzbXCuojD+WVUWFfaCrEp2sdF0L+NndC8/fzhxon0S4rDLhOiCCHEKQn0aWT/AUYBiUqpg8AMrfWrgSyTqBvPdax/OlJ4XFhn5JVRWmnmBbcpaBUdxoDkePokxTC4c0sGd05g68Z1XHzxxYSHhzPnrqslvIUQ4jQEehT6tYF8f1E3brcmp6SCvceKSd+Xy4aDeezKKiYjr5SCsqpLYyZEhdK9TQt6to8hrVM8Q7sk0j4u/Lim8DVr1jBmzBhatWrFV199RWxsbCAOSQghgl6tAa6U+rfW+nql1J1a62cbslAicLTWZBdXcCi3hDX789hwMI8dR03NOqe4As8ghJjwENrFRnBe9xb0T4pjyFkJnNUqmohQe637zszM5IorriAhIYFvv/32tC9MIoQQ4sQ18AFKqU7Ab5RSb2GmifbSWufUa8lEvdNak1dSSWZBKRsPFbB2Xy4/HSnicH4pRwvLvVfdinDYaRMTRp8OsaQmxTIoJZ6e7WJJbBF6SgPN/ve//5GXlyfhLYQQfnCiAH8RWAR0AVZzfIBr63kRRIrKnWTml/FTZiGr9+ewNaOQQ7mlZBaUUe4zyKx1dBjnJsfTs10LBiQncE5SLO3iIgh31F67rovJkydzwQUXyLSlQgjhB7UGuNb6OeA5pdQ/tda3NmCZhB+UO10cLShnT3Yxq/fmsulQPvtzSsgsKKPQ6rdWClpGhdKtTTRdW0fRv2Mc/ZPjSYqPJD7S4bfTuF566SW6du3K2LFjJbyFEMJPTjqITcK78XO7NceKyzmcW8bqfTmstwaZZRaUkVN0fL9125hwBneOpE+HONJS4khJbEHr6DAc9TASvKCggL///e88+uijTJgwgbFjx/r9PYQQormS88CDUHG5k8N5pWw6VED6vhy2ZxZyOM/0W3smRwl32GgTE06PNtH0ah9DWnI83dpG0zYmnKiw+v3Yy8vL+ec//8msWbM4duwYV199Na+88kq9vqcQQjQ3EuCNnMutySosZ/uRAlbuyWHToQL2ZRdzpKDce7613eq3Picplu5tounfKY4+7WNpFxtBnB+bwmuya9cuPv30U7Kzsxk8eDDjx4/nxx9/5O6772bs2LE8/vjjDBw4sN7eXwghmisJ8EamuNzJ3mNF/Lgnh/X78/npaCEZ+WXkl1Z6t2kZFUqXVlGc1aoFfZNiOTc5ng4JESRGhWGzNcz0oy6Xi2effZaHH36Y0tJS7HY7f/jDHxg/fjwjR45k1apVpKXVOH2vEEIIP5AADyCtNZkFZaTvyWXVvhw2Hypgf24J2UXl3ot6tAgLoelalBMAACAASURBVG1sOIM7J5DaIZaBKfGkJEbRqkUYIQGcwWzq1Km89tprXH755Tz//PMkJycfV9OX8BZCiPolAd6AyitdbDiYz3e7jrH+QB47jxaRWVBGpcukdWiI6bce0TWR3h1iSesUT892MbSqp0Fmp0prjdvtxm63c9tttzF27FiuvfZaueiIEEIEgAR4PTqYU8KyHVms2pvL1owC9ueUUFJh9VsrRavoMM7tFE/vdrEM6BRHv+Q4WkeH11tYa61588032bp1K3fccQdJSUksWrSIlStXMmXKFDp27Fjra51OJ3feeSdlZWW88sorDBgwgAEDBtRLOYUQQpycBLiflFY4+WFXNt/tyjZzhR8tJqekwru+ZVQoPdvF0LNdNGmd4klLSaBdbAT2BuqzBvj73//OfffdR1hYGBMmTCApKYmioiJmzJjBzJkzueiii7jpppu47LLLCA8P976uoKCAa665hi+++IL77rsPrbXUuoUQIsAkwE+D0+Vma0Yh3+3KIt2qXR/OL0Nb/dbR4SF0Tozigt6tGZAcz7CzEukQHxHQ0FuwYAF//OMfmTRpEu+99x42m6nlX3XVVezevZvXX3+d1157jUmTJpGUlMSBAwcAWLZsGdOmTWPLli28/PLL3HzzzQE7BiGEEFWU9qROEEhLS9Pp6elntI/Q0FBmzpzJJf+9BIAvLvyCmTNnUlFRUeP2brdmb3Yxa/bnsmK3mSRlz7Fib791hMNO58QoerWP4dzkOIZ3TaRTy6gzKqO/bdu2jUGDBtGtWze+/fZbIiMja9zO5XLx5ZdfkpGRwZQpUwDo0aMHmZmZfPDBB1xwwQUNWWwhhGj2lFKrtdY1jgpuVgEeGhpKZaU5HeuTzp8AcOWeKwFwOByUl5dzOL+MDQfyWLM/l9X7ctmWWejttw6xQUrLSM7pGM/AlHiGdG5JSmIULpeLH3/8kW+//ZZLL72Uvn37nuGR+ldRURH33HMPf/rTn0hKSjql127cuJHWrVvTpk2beiqdEEKI2pwowJtVE/rMmTN56KGHANizZ89x67pddAN9Zy6ioNxc1MOuFB1iHXQJyaNg/zo2LVtA7t4tjPrNFP5xzyu43W6efvpp0tPTWbx4Mbm5uQCcf/75DXtQtSgoKODbb78lPj6eYcOG8dJLL53Wfvr06ePnkgkhhPCHgAa4Uupi4FnADryitX6iPt/vwQcfBPCGuEf08OvIbX0uFen/pW1oBW8/N4uz20YzZOAAvl2/no4dOzLxoosYPvweUlNTATMD2b333kvr1q254oorGDduHGPGjCEhIQGAjz/+mMsuuwyHw1Gfh3Sc7Oxs/vGPf/DVV1+xevVqXC4XV199NcOGDWuwMgghhGgYAQtwpZQdmA1cABwEViml5muttzR0WYbH5TNxaCgORz8SEhLo1zEOgIcffphevXrRs2fPnw1A69q1K5mZmbRq1co7IMxjzZo1TJgwgfPOO48ZM2bQsmVL4uPjSUpKwm63U1paSlFRERUVFSQmJhIWFnbGx6C15tJLL2X16tUMHTqU6dOnM3r0aIYOHXrG+xZCCNEIaa0DsgBDgcU+j6cD00/0mgEDBugzMWvWLI25lrl+mqf10zztfTxr1qwz2nd177zzjo6IiPDuH9BHjhzRWmt9//33e5/r0KGDXrRokdZvv611p05aK2Vu335b5+Xl6W+++Ubv3Lmz1vc5duyYLisr01prvXz5cr1+/Xq/HocQQojAAdJ1LZkYsEFsSqmrgIu11r+1Hl8PDNZaT6vtNfU9iK22keinKyMjg59++omcnBxyc3O54YYbCAkJ4fvvv2ft2rXYbDZeeOEF+m7ZwhshIYQ6nd7XVoSEcGtICK+VlTFp0iTmzp0LQJs2baisrCQ6OpoWLVqQmZnJrbfeyqOPPurXsgshhAi8xjqIraaTon/2a0IpNRWYCpCcnHxGb1hRUeE9jSz5v2Zfs34764SnkZ2Jdu3a0a5du589P2zYMG+/9JQpUyhp3ZrQwsLjtgl1OnkiNJRffvYZ7du39z5/8803k5+fT2FhIYWFhaSmpnL11Vf7vexCCCEat0DWwIcCM7XWF1mPpwNorR+v7TX+OA/cY+2otQD0/7q/X/Z3Rmw2qOlzUArc7oYvjxBCiEbhRDXwQF4hYxXQTSnVWSkVClwDzA9geQKntpaFM2xxEEII0XQFLMC11k5gGrAY2ArM1VpvDlR5AmrWLKg+O1pkpHleCCGEqEFAzwPXWi8EFgayDI3C5Mnm9qGHYP9+U/OeNavqeSGEEKKaZjUTW6M2ebIEthBCiDoLZB+4EEIIIU6TBLgQQggRhCTAhRBCiCAkAS6EEEIEIQlwIYQQIghJgAshhBBBSAJcCCGECEIS4EIIIUQQkgAXQgghgpAEuBBCCBGEJMCFEEKIICQBLoQQQgQhCXAhhBAiCEmACyGEEEFIAlwIIYQIQgEJcKXUJKXUZqWUWymVFogyCCGEEMEsUDXwTcAEYFmA3l8IIYQIaiGBeFOt9VYApVQg3l4IIYQIeo2+D1wpNVUpla6USs/Kygp0cYQQQohGod5q4Eqpr4C2Nax6SGv9aV33o7V+GXgZIC0tTfupeEIIIURQq7cA11qfX1/7FkIIIZq7Rt+ELoQQQoifC9RpZL9USh0EhgILlFKLA1EOIYQQIlgFahT6x8DHgXhvIYQQoimQJnQhhBAiCEmACyGEEEFIAlwIIYQIQhLgQgghRBCSABdCCCGCkAS4EEIIEYQkwIUQQoggFJDzwBuDFv1aBLoIQgghxGlrtgHe7ZlugS6CEEIIcdqkCV0IIYQIQhLgQgghRBCSABdCCCGCkAS4EEIIEYSU1jrQZagzpVQWsM+Pu0wEjvlxf42VHGfTIsfZtMhxNi3+Ps5OWutWNa0IqgD3N6VUutY6LdDlqG9ynE2LHGfTIsfZtDTkcUoTuhBCCBGEJMCFEEKIINTcA/zlQBeggchxNi1ynE2LHGfT0mDH2az7wIUQQohg1dxr4EIIIURQahYBrpS6WCm1XSm1Uyn1QA3rb1RKZSml1lnLbwNRzjOhlHpNKXVUKbWplvVKKfWc9W+wQSl1bkOX0R/qcJyjlFL5Pp/lnxu6jP6glOqolFqqlNqqlNqslLqzhm2C/jOt43EG/WeqlApXSq1USq23jvMvNWwTppR63/o8VyilUhq+pGemjscZ9N+3Hkopu1JqrVLq8xrW1f/nqbVu0gtgB3YBXYBQYD3Qq9o2NwIvBLqsZ3icvwDOBTbVsv5S4AtAAUOAFYEucz0d5yjg80CX0w/H2Q4417ofDWQA353sMwVeBP50gv0+CLxST2V+FHP+a+YZHOdPNfz/POFnerJjbgyL9Rm1sO47rM9qSLVtbgNetO5fA7wf6HLX03EG/fetz7H8AXi3pr/Phvg8m0MNfBCwU2u9W2tdAbwHXBHgMvmd1noZkHOCTa4A3tLGj0CcUqpdw5TOf+pwnAGnlPpaKZWrlAo73X1orTO01mus+4XASmBmtc1+9pkCf9Fa/9Uqxyil1MFq+31Ma+33Go9SqiNwDyZ829b1dTUc51agwwne50al1PJq+7jFc8yNlfUZFVkPHdZSfQDSFcCb1v0PgLFKKdVARfSLOh5nk6CUSgLGAa/Uskm9f57NIcA7AAd8Hh+k5i+IiVYz5AfWl1FTU9d/h6ZgqNWE94VSqndDvrHVTHYe5ktrvB/32R9Tm/HVmD7TTkC21vro6e7gBMcJ1meKqfFEnu57BJLV3LoOOAp8qbWu9fPUWjuBfKBlw5byzNXhOKFpfN8+A/wRcNeyvt4/z+YQ4DX94qn+i/AzIEVrfQ7wFVW/mpqSuvw7NAVrMFMP9gWeBz5p4Pe/AfgReAP4te8KpVRLpdR8pVSB1U/4V09tUimVopTSSqkQn+2/VkrdDnwIfAostJ5XSqmngQuARdYXYar1shlKqUeVUlGY5vX2Sqkia2mvlJqplHrb5z3GW32Vedb79fRZt1cpda+1/3yrPy+8+gErpc4HvvR5rzdqqv1b+zvfuj9TKTVXKfWWUqpQKbXVKu9dWusCq2/8I2WmT/4IU4O5Bjgb6G+9T561rzeUUo/6vM/NVr9jjvXv3d5nnVZK3aKU2mG1ksxuqFqu1tqlte4HJAGDfD4zb/Fqeln9l8y/6nCcQf99q5S6DDiqtV59os1qeM6vn2dzCPCDgO8vvCTgsO8GWutsrXW59fBfwIAGKltDOum/Q1OgtS7wNOFprRcCDqVUYgMW4QbgHWu5SCnVxmfdbKAM0+/7G2s5EQXcau3L94viQsxYgHeBm4FfAdmYz7QEQGtdDFwCHNZat7CW4z5vpVR34D/AXUArzA+Ez5RSoT6bXQ1cDHQGzsH0Xx5Ha/1Vtff62Ta1GI/p0koEwoAIrfVHSik78DnmugcpQHvg31rrrcBUoBwTAHHVd6iUGgM8bpW7nbWP96ptdhkwEOhrbXdRHcvrF1rrPOBrzL+rL+//UeuHXCyNvLvoRGo7zibyfTscGK+U2ov5+xrj+8PYUu+fZ3MI8FVAN6VUZ+uL6Rpgvu8G1fqCx2P64Zqa+cANVu1tCJCvtc4IdKH8TSnV1lOjUkoNwvyNZzfQe4/ANCXPtX6Z7wL+z1pnByYCf9ZaF2utN3GCmod1DD2ADK31P6qtrsQM+NqI+cGwzXrffKD0FIr8K2CB1vpLrXUl8DcgAhjms81zWuvDWuscTM2p3yns/2SWY2rd/7Lue37sDMKE9n3WD5E44DtrXWfrtrbPdDLwmtZ6jRUS0zHN7yk+2zyhtc7TWu8HluLfY6qRUqqVUirOuh8BnI/53HzNp6rV5ipgibZGQAWLuhxnU/i+1VpP11onaa1TMJmyRGt9XbXN6v3zDDn5JsFNa+1USk0DFmNGpL+mtd6slHoESNdazwd+r5QaDzgxv5BuDFiBT5NS6j+Y0bqJVtPlDMwAErTWL2JqV5cCOzG1tCmBKemZqcNxXgXcqpRyYsLsmgb8Evw18F+ttedKRO9azz2NqeGGcHyf9YmurDccE2iVVn9iAlColLrFWv+Cte9emOA+YD2edgrlbe9bBq21Wyl1gOP70TN97pdYr/GXTMxxXo/5kg+3jvUL671+ixlh7vuZtgC2n+AzbY/pRgFAa12klMrGHNNen/f1KLH2Wd/aAW9aP+RsmB95n1f7HnoV+LdSaifme+iaBiiXv9XlOIP++7Y2Df15NvkAB29T6sJqz/3Z5/50zC/1oKW1vvYk6zVwewMVp97U4ThfwIRbg7JqG1cDdqWUJyDCMKP9+wKbMF9YHamqkST77KLYuo0ECrTWy5VS24G/aa1fUUrdCPzW+pHi8ZxSqjUwF/hWa51erTv3ZD9cDgN9fI5BWeU7VJdjPolifAabWV/oP7skotZ6ufXWKcAeIA3TvH0T1uhe389UKfVrTLdBbQ5jWiM87xuFGTjkj2M6bVrrDZgBetWf9/0eKgMmNWS5/K2Oxxn037e+tNZfY7oKGvzzbA5N6EI0hCsBF6ZG3M9aegLfAjdorV2YwVgzlVKRSqle+Axy01pnYULmOmVG8f4GOKumN1JKDVRKDVZKOTBBWWa9d3VHgJZKqdhayjwXGKeUGmvt6x5M//L3p3jsNfkJU6MeZ+37YcwPmrpYiTnv/QmlVJQyk4MMt9YdAZKq9dP7eheYopTqp8xpfI9h5jzYe9pHIkQjJQEuhH/8Gnhda71fa53pWTA1x8nWIJZpmObaTMwo9der7eNm4D5M/25vag/SGEy/cS6mCTwb0399HK31Nswgtd3KjDJvX239duA6zGj9Y8DlwOXazJdwRrTW+ZiJLF7B/DApxgzqqctrXVZZugL7rdf9ylq9BNgMZCqljtXw2v8Bf8KM3M/A/AgKxqZoIU5KLmYiRID4NIuPCHRZhBDBR2rgQgghRBCSABdCCCGCkDShCyGEEEFIauBCCCFEEJIAF0LUyjplbYN1KleUMvOmV5/bWggRAEHVhJ6YmKhTUlICXQwhhBCiQaxevfqY1vpnkyBBkM3ElpKSQnp6eqCLIYQQQjQIpVStUy5LE7oQQggRhCTAhRBCiCAkAS6EEEIEoaDqA/enHXftAKDbM90CXBIhhGhmCgth+3bYuhW2bTPL9u3gdkOrVpCYaG47d4Z+/czSps3J99vMNNsAL1pXFOgiCCFE06U1ZGQcH9Ke+4d8ru5qt0PXrtCjBzgckJVltlu2DI75XK+mTRvo3x/S0mDAAHPboQMcfwndZqXZBrgQQgg/cDph166qcPYN7IKCqu2io6FnTxg71tz26GFuu3SB0FquDpubC+vXw7p1Zlm7Fh5/HFzW1XPbtIHBg2HIEHM7cKB5n2aiXgJcKdUReAtoC7iBl7XWz1bbRgHPApcCJcCNWus19VEeIYQQZ6i4+PiatGfZuRMqK6u269ABzj4brr/eBHTPnuZxu3anXluOj4dRo8ziUVpqQj09HVatghUrYP58s85mg3POgeHDYcQIsyQlnemRN1r1VQN3AvdordcopaKB1UqpL7XWW3y2uQToZi2DgX9at0IIIQIlO/v4gN6yxdzu31+1jd0OZ51lwvmKK6pC+uyzISamfssXEWFq3EOGVD2Xk2PC/Pvv4bvv4I03YPZss65zZxg5smrp3Ll+y9eA6iXAtdYZQIZ1v1AptRXoAPgG+BXAW9pMBfejUipOKdXOeq0QQoj6ojUcPvzzkN6yxfRBe0REmFAeMaKqNt2zp+mzrq3ZOxASEuCii8wCpll//Xr49lv45htTQ3/jDbMuJcU0448dC2PGBPXguHrvA1dKpQD9gRXVVnUADvg8Pmg9JwEuhBD+oLWpOW/Z8vPFt386Ls4E8/jxxwd1p06mWTrYhISYgW4DBsBdd5nR7Zs3w9dfw5Il8MEH8OqrZtu+feHCC034Dx8O4eEBLfqpqNcAV0q1AD4E7tJaF1RfXcNLfjYxu1JqKjAVIDk52e9lFEKIoOd2w759Jpg3b64K6a1bocjnjJs2bUwwX3edue3Vyyxt2jTt0dw2G/TpY5Y77jCD4Nasga++gv/+F555Bp56yrQ4jBkD48bBpZeaHzCNWL0FuFLKgQnvd7TWH9WwyUGgo8/jJOBw9Y201i8DLwOkpaUFz5VXhBDC3zxB7QnpzZvNsnUrlJRUbde+PfTuDTfdZALaE9YtWwau7I2J3W5GrA8cCNOnmx8533wDixbBwoWwYIHZrlcvuOwy0zIxZIh5XSNSL1cjs0aYvwnkaK3vqmWbccA0zCj0wcBzWutBJ9pvWlqa9tfFTNaOWgtA/6/7+2V/QgjhN1qbc6U3bTIB7bndssWMBvfwBLVn8dSo4+ICV/ZgpzX89FNVkH/zjelTT0w0YX7llabJPSKiQYqjlFqttU6raV191cCHA9cDG5VS66znHgSSAbTWLwILMeG9E3Ma2ZR6KosQQjRex46ZgK6+5OdXbdOmDaSmmhq1b1jHxweu3E2VUuYc9R494O67zeewaJEZCPfJJ2YwXGQkXHwxTJhgQj02NjBFDabrgUsNXAgRtEpKTC1640YT0J7bzMyqbeLjTT9t794msFNTzX1p+m4cKitNjfyjj0yYZ2SY2eMuvBAmTTKn1Pm59SMQNXAhhGie3G7YvRs2bDAhvWGDWXbtMs2zYJpfe/c2tbg+fUxQ9+kDbds27cFkwc7hgPPPN8sLL5hJZD74wCwLFpj1V14J77/fIJ+jBLgQQpyuvLyqgPYsGzdWDShTCrp1M6cqXXdd1UjoLl0a3YAocYpsNhg61Cx/+5uZSGbePNNf3kA/wiTAhRDiZDy1as+83OvXm8V3drKEBBPUN99sQrpvX9NPHRkZuHKLhqEUDBpklgYkAS6EEL5KS03ftOcCGuvWmZq153xqu90McBo+HG691QT1OeeYEeHS/C0akAS4EKL5ysmpusqVZ9m2zdS4wczr3bcvTJlirkndt6/puw6i2bpE0yUBLoRoHjIyzOxbnmXtWjMpikdSkgnpiRPNdaf79TPzZkutWjRSEuBCiKbFc6GO9HRYvdqE9erVVadreQaWDRkCt91WFdatWgW23EKcIglwIURwO3zYBHR6elVoHzli1tlsZhrRCy+Ec881S79+EB0d2DIL4QcS4EKI4JGdbU7XSU83t6tWmaZxMGHdq5c5t9pzJaq+fSEqKrBlFqKeSIALIRqnkhLT/L1ypQnqlSvNqVwePXqYazqnpZmLUkhYi2ZGAlwIEXhutxn9vWJF1bJxo7nsI0DHjuYc29/9zoT1gAFmhLgQzZgEuBCi4WVnm5D+4Qdzu3Jl1cU7YmNNWD/wAAwebAK7bdvAlleIRkgCXAhRv1wuMzHKDz9ULTt2mHV2u5m17NprTVgPHmyaxm22wJZZiCAgAS6E8K/8fFOr/u47+P57c7+w0Kxr3drMHX3TTeY0rrQ06bcW4jRJgAshzsz+/bB8uQns5ctN37XWphbdpw9cf70J7WHDoHNnmRhFCD+RABdC1J3bba5p/e23Zlm+HA4eNOtatDBBPWGCmSd80CAZaCZEPZIAF0LUrrLSTDm6bJlZli+H3Fyzrn17GDECzjvPBHafPhAiXylCNBT53yaEqFJebs65/uYbs3z/PRQXm3Xdu5va9S9+YYJbmsOFCKh6CXCl1GvAZcBRrXVqDetHAZ8Ce6ynPtJaP1IfZRFCnIAnsJcuha+/NoFdVmbW9ekDN94II0eaWracyiVEo1JfNfA3gBeAt06wzbda68vq6f2FEDWprDTTkC5dapbvvjPXv1bKzGT2u9/BqFEmsFu2DHRphRAnUC8BrrVeppRKqY99CyFOgdsNGzbA//4HS5aYfuyiIrPunHPg5pth9GjTLJ6QENiyCiFOSSD7wIcqpdYDh4F7tdabA1gWIZqOPXvgyy/hq69MLfvYMfN89+7mlK4xY0yzuFw+U4igFqgAXwN00loXKaUuBT4ButW0oVJqKjAVIDk5ueFKKESwyM01NWxPaHsu+NG+PVx6qQnssWMhKSmw5RRC+FVAAlxrXeBzf6FSao5SKlFrfayGbV8GXgZIS0vTDVhMIRqnykr48Uf473/Nkp5umsqjo01z+F13wfnnw9lnyyhxIZqwgAS4UqotcERrrZVSgwAbkB2IsggRFPbuhUWLYPFi05ddUGBmOhs8GB5+GC680Eyc4nAEuqRCiAZSX6eR/QcYBSQqpQ4CMwAHgNb6ReAq4FallBMoBa7RWkvtWgiP0lIz4OyLL0xwb99unk9Ohl/9Ci66yDSLx8UFtpxCiICpr1Ho155k/QuY08yEEB67d5vAXrjQDD4rLYWwMHNa1y23wMUXmyt1SbO4EAKZiU2IwKmsNFOTLlhglm3bzPNnnQW//S1ccokZLR4ZGdhyCiEaJQlwIRpSVpapZX/2mRmAVlAAoaEmqG+5xYwa71bjCRlCCHEcCXAh6pPWsHUrzJ9vQvuHH8xz7drB1VfDuHFmxHiLFoEuqRAiyEiAC+FvTqdpGp8/3yy7dpnnzz0X/vxnuPxy6N/fjCIXQojTJAEuhD8UF5sm8U8+gc8/h5wc0zQ+dizcey9cdplMpCKE8CsJcCFOV3a2aRb/+GMT3mVlEB9vwvqKK8ypXtI0LoSoJxLgQpyKQ4dMYH/0kTlP2+WCjh1h6lS48kpzFa8Q+W8lhKh/8k0jxMns2QMffmhC+4cfzHNnnw333w8TJpi+bTk3WwjRwCTAhajJjh0mtD/4AFavNs+dey48+qgJ7Z49A1s+IUSzJwEuhMfOnTBvHsydC+vWmecGD4annoKJE6Fz58CWTwghfEiAi+Zt714T2O+/D2vWmOeGDIG//x2uusrMPS6EEI2QBLhofnJy4N//hvfeM5flBFPT/sc/TGh37BjY8gkhRB1IgIvm49AhE9IvvWTO2+7XD554wsyIJs3jQoggIwEumr5du+DJJ+GNN8xpX9dcA3/8I5xzTqBLJoQQp00CXDRdmzbB44+bpnKHA266Ce67T2rbQogmQQJcND0rV8Jjj8Gnn5qZ0O65B+6+21xARAghmggJcNE0aA1ff22C+6uvzJSmM2fCHXdAQkKgSyeEEH5XL5dDUkq9ppQ6qpTaVMt6pZR6Tim1Uym1QSl1bn2UQzQDWsOCBTB8OIwZY5rNn3oK9u2DGTMkvIUQTVZ9Xc/wDeDiE6y/BOhmLVOBf9ZTOURT5XKZ87f79zcXDzl8GGbPNtOe3nsvREcHuoRCCFGv6iXAtdbLgJwTbHIF8JY2fgTilFLSQSlOrrIS3nwTeveGX/0KSkvh9dfN1Ke33Qbh4YEuoRBCNIj6qoGfTAfggM/jg9ZzQtSsrAzmzIFu3eDGG01Qz50LW7aYxw5HoEsohBANKlCD2Gq6dJOucUOlpmKa2UmWaS2bn6IiM/HK3/4GmZkwdKhpKr/0UrkCmBCiWQtUgB8EfOerTAIO17Sh1vpl4GWAtLS0GkNeNEG5ufD88/Dss2bq07Fj4d13YdQoCW4hhCBwTejzgRus0ehDgHytdUaAyiIakyNH4IEHoFMnM4p8+HBzDe6vvoLRoyW8hRDCUi81cKXUf4BRQKJS6iAwA3AAaK1fBBYClwI7gRJgSn2UQwSRAwfM6V//+heUl5v5yR98UKY7FUKIWtRLgGutrz3Jeg3cXh/vLYLMzp3mgiJvvWXO6b7+elMD79490CUTQohGTWZiE4GxcaOZNW3uXDOCfOpUM095p06BLpkQQgQFCXDRsH780QT3Z5+ZyVbuuw/uugvatg10yYQQIqhIgIv6pzUsWWKCe8kSM73pI4/AtGlmznIhhBCnTAJc1B+329S0H38cVqwwVwP7+99Nc3mLFoEunRBCBDUJcOF/Tqe5BvcTT8Dmzeb62y+9BL/+NYSFBbp0QgjRJEiAC/8pKzPzkj/1lLmoSGoqvPOOOSUsRP7UhBDCn+RbVZy5ggJ48UX4xz/MRCyDB5sZchFgxwAAC2xJREFU1MaNA1ug5goSQoimTQJcnL6jR+G558zc5Hl5cOGFMH06jBwpM6YJIUQ9kwAXp27vXnNxkVdfNbOmTZhggnvAgECXTAghmg0JcFF3GzfCk0/Cf/5jmsavvx7++Efo0SPQJRNCiGZHAlyc3PLlZkT5ggUQFQV33AH33ANJSYEumRBCNFsS4KJmbjd8/jn8v/8H338PiYlm8pXbbzcTsQghhAgoCXBxvIoKc+rXU0/B1q2QkmKuy/2b30BkZKBLJ4QQwiIBLoz8fHj5ZXjmGTh8GPr2hXffhUmT5BxuIYRohOSbubk7dMics/3SS+Z87jFj4LXXzClhciqYEEI0WhLgzdWmTeZUsHffBZfL1LTvu09OBRNCiCAhAd6caA1Ll5r+7UWLTJ/2LbeYy3l26RLo0gkhhDgFEuDNQWUlzJ1ratzr1kHr1vDooya8W7YMdOmEEEKchnqbqFopdbFSartSaqdS6oEa1t+olMpSSq2zlt/WV1marbw8E9pdusB115lZ0/71L9i3Dx56SMJbCCGCWL3UwJVSdmA2cAFwEFillJqvtd5SbdP3tdbT6qMMzdru3WaO8ldfhaIiGD3aXGzkkkvk4iJCCNFE1FcT+iBgp9Z6N4BS6j3gCqB6gAt/0Rq++w6efho++cQE9bXXwt13Q//+gS6dEEIIP6uv6lgH4IDP44PWc9VNVEptUEp9oJTqWE9lado8E68MGgTnnWcGqd1/v7ngyFtvSXgLIUQTVV8BXtMJxLra48+AFK31OcBXwJs17kipqUqpdKVUelZWlp+LGcSysmDWLOjc2fRvFxbCP/8JBw7AY49Bh5p+LwkhhGgq6qsJ/SDgW6NOAg77bqC1zvZ5+C/g/9W0I631y8DLAGlpadV/BDQ/GzaYiVfeeccMSrvgAnjlFbjoIunfFkKIZqS+AnwV0E0p1Rk4BFwD/J/vBkqpdlrrDOvheGBrPZUl+DmdMH++mZP866/N+dtTppirgvXqFejSCSGECIB6CXCttVMpNQ1YDNiB17TWm5VSjwDpWuv5/P/27j/W6rqO4/jz5RWsSUMHthiXH2b4B2QZMUZzNodMifDeP6IJUvwoZROdtf5g2qYu/+ufYhXOMHBEKSi1vDIUa5T9FUEmASPbjZVc0WmAWJqxK+/++HzJs9O5cuCe7/ne7/e8Htsd33O+H859v8/77vs+3x/n84W7JPUAg8BxYEUesZTasWNp7/rBB+Gll2DKlHQ/7ltvhUsvLTo6MzMrUG4TuUTEDmBH3XP31SzfA9yT1+8vtb17Yd06eOyxdJh87tz0tbCFC6Grq+jozMxsBPBMbCPFO+/AE0+kxr17N1x8cbqF5x13wIwZRUdnZmYjjBt40Q4fTncC27AhHTK/8sq0t71sGYwdW3R0ZmY2QrmBF2FwEHbsSLOjPfNMunq8txdWr06Hy30bTzMzOws38HZ6+eW0p/3wwzAwABMmwL33wm23QXd30dGZmVmJuIHn7d130172+vWwfTucPg033PDeRWmjRhUdoZmZlZAbeF6OHIGNG9Me95Ej6Raea9akr4BdcUXR0ZmZWcm5gbfSqVPw1FPpu9s7d6bn5s1LNxi56SYYPbrY+MzMrDLcwFvhwAF45BHYvDnNUd7dnc5tr1wJU6cWHZ2ZmVWQG/j5OnECtmxJjXvPnnQuu6cnfXf7xhs94YqZmeXKDfxcDA7Cs8/Cpk3w5JNplrSrroK1a2HpUhg/vugIzcysQ7iBN2PfvnRv7UcfhVdfhXHjYNUqWL4cZs7097bNzKzt3MCHMjCQ5iLfvBn270+HyBcsgBUr0r++IM3MzArkBl7rjTdg27Z0r+3nnoMImDMnzU9+881pz9vMzGwEcAN/++301a8tW9L0pqdOwbRpcP/9cMstadnMzGyE6dwGfvIkHD0KH74W3norTWt6++3pYrRZs3xe28zMRrQObuBvwvHj8JWlsGQJXHutv/plZmal0bkNfOJEmNQNP7yz6EjMzMzO2QV5vbCk+ZJelNQv6e4G6y+StDVbv1vS1LxiaajrAh8mNzOz0sqlgUvqAtYBnwOmA0skTa8b9lXgRER8DPgu8O08YjEzM6uivPbAZwP9EXE4Ik4BW4DeujG9wKZseRtwveRdYjMzs2bk1cAnAkdqHg9kzzUcExGDwEnAX7Q2MzNrQl4XsTXak47zGIOkVcAqgMmTJw8/ssyYq8e07LXMzMzaLa8GPgBMqnncDRwdYsyApAuBscDx+heKiPXAeoBZs2b9X4M/X9PWeoIWMzMrr7wOoe8Bpkm6XNJoYDHQVzemD1ieLS8CdkVEyxq0mZlZleWyBx4Rg5LuBHYCXcDGiDgo6QFgb0T0ARuAzZL6SXvei/OIxczMrIpym8glInYAO+qeu69m+R3gi3n9fjMzsyrLbSIXMzMzy4/KdNpZ0uvA31v4kuOBf7Tw9UYq51ktzrNanGe1tDrPKRFxWaMVpWrgrSZpb0TMKjqOvDnPanGe1eI8q6WdefoQupmZWQm5gZuZmZVQpzfw9UUH0CbOs1qcZ7U4z2ppW54dfQ7czMysrDp9D9zMzKyUOqKBS5ov6UVJ/ZLubrB+haTXJb2Q/dxaRJzDIWmjpNckHRhivSR9L3sP/iRpZrtjbIUm8rxO0smaWt7XaNxIJ2mSpF9LOiTpoKSvNRhT+po2mWfpayrpA5J+L2lflue3Goy5SNLWrJ67JU1tf6TD02Sepd/eniGpS9IfJW1vsC7/ekZEpX9IU7n+FfgoMBrYB0yvG7MC+EHRsQ4zz88CM4EDQ6xfADxNugvcHGB30THnlOd1wPai42xBnhOAmdnyh4C/NPi7LX1Nm8yz9DXNajQmWx4F7Abm1I1ZDTyULS8GthYdd055ln57W5PLN4BHG/19tqOenbAHPhvoj4jDEXEK2AL0FhxTy0XEb2lwN7cavcCPI/kdcImkCe2JrnWayLMSIuKViHg+W/4ncAiYWDes9DVtMs/Sy2r0r+zhqOyn/gKkXmBTtrwNuF5So9suj1hN5lkJkrqBzwM/GmJI7vXshAY+EThS83iAxhuIL2SHIbdJmtRgfdk1+z5UwWeyQ3hPS5pRdDDDlR16+xRpb6ZWpWr6PnlCBWqaHW59AXgN+GVEDFnPiBgETgLj2hvl8DWRJ1Rje7sWWAOcHmJ97vXshAbe6BNP/SfCp4CpEfEJ4Fe896mpSpp5H6rgedLUg58Evg/8ouB4hkXSGOBnwNcj4s361Q3+SylrepY8K1HTiHg3Iq4GuoHZkj5eN6QS9Wwiz9JvbyUtBF6LiD+837AGz7W0np3QwAeA2k943cDR2gERcSwi/pM9fBj4dJtia6ezvg9VEBFvnjmEF+mOeKMkjS84rPMiaRSpqf00In7eYEglanq2PKtUU4CIeAP4DTC/btX/6inpQmAsJT5dNFSeFdneXgP0SPob6bTsXEk/qRuTez07oYHvAaZJulzSaNLFBH21A+rOG/aQzsNVTR+wLLtyeQ5wMiJeKTqoVpP0kTPnmSTNJv2NHys2qnOX5bABOBQR3xliWOlr2kyeVaippMskXZItfxCYB/y5blgfsDxbXgTsiuwKqLJoJs8qbG8j4p6I6I6IqaSesisivlQ3LPd65nY/8JEiIgYl3QnsJF2RvjEiDkp6ANgbEX3AXZJ6gEHSJ6QVhQV8niQ9Rrpad7ykAeB+0gUkRMRDpHuzLwD6gbeBlcVEOjxN5LkIuF3SIPBvYHHZNoKZa4AvA/uz84kA3wQmQ6Vq2kyeVajpBGCTpC7SB5DHI2J73XZoA7BZUj9pO7S4uHDPWzN5ln57O5R219MzsZmZmZVQJxxCNzMzqxw3cDMzsxJyAzczMyshN3AzM7MScgM3MzMrITdwMzOzEnIDNzMzKyE3cDMzsxL6L2SQsHlNLZ+rAAAAAElFTkSuQmCC\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# The value (y) and position (x) of the true min\n", + "true_min_y = np.min(Y_grid)\n", + "true_min_x = X_grid[np.argmin(Y_grid)]\n", + "\n", + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) # <-------------- Remember this is LCB\n", + "\n", + "# Create the necessary variables\n", + "from GPyOpt import Design_space ## GPyOpt design space\n", + "space = Design_space([{'name': 'var_1', 'type': 'continuous', 'domain': (0.5, 4.0)}] )\n", + "from GPyOpt.models import GPModel\n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " model = GPModel(optimize_restarts=1,verbose=False)\n", + " model.model = m\n", + " \n", + " # find the sample \n", + " acq_LCB = AcquisitionLCB(model,space,exploration_weight = 2) # <------------ Beta is a constant = 2\n", + " alpha_full = acq_LCB.acquisition_function(X_grid)\n", + " next_sample_index = np.argmin(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_min_x, true_min_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples, Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ScLBT0tC78Ip" + }, + "source": [ + "Due to the stochasticity of our active learning methods, we want to see performance over multiple runs. Let's look at performance over 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "id": "j4UUgFXU7-om" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2072148781.2123334\n", + "0\n", + "4847281766.1547165\n", + "0\n", + "2799408699.255387\n", + "0\n", + "2292799975.464172\n", + "0\n", + "4397557243.748522\n", + "0\n", + "2319048856.233075\n", + "0\n", + "2313969186.5926075\n", + "0\n", + "4486676865.200719\n", + "0\n", + "2925349513.429164\n", + "0\n", + "2072708826.7274523\n", + "0\n", + "4887007292.680896\n", + "0\n", + "2771576358.3171887\n", + "0\n", + "2602324397.196176\n", + "0\n", + "2871458636.741908\n", + "0\n", + "2011571516.3795166\n", + "0\n", + "4811776015.014972\n", + "0\n", + "2550093107.1173167\n", + "0\n", + "2519420818.3586555\n", + "0\n", + "3798419540.995146\n", + "0\n", + "2982430962.0767174\n", + "0\n", + "2677263310.022232\n", + "0\n", + "2596724404.092511\n", + "0\n", + "2456195761.3496265\n", + "0\n", + "4489676137.323573\n", + "0\n", + "2518345509.1030455\n", + "0\n", + "4842586735.862191\n", + "0\n", + "4792629994.637552\n", + "0\n", + "2091044439.427632\n", + "0\n", + "4956725804.292513\n", + "0\n", + "3094863054.7925286\n" + ] + } + ], + "source": [ + "# BO by maximizing mean\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALmean_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALmean_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALmean_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALmean_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 112403, + "status": "ok", + "timestamp": 1594652324712, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "_q55wuNl8BzV", + "outputId": "09a37225-567b-49b6-e2cb-96ddb372855c" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALmean_ = np.empty(queries_ALmean_.shape)\n", + "for i in range(0, queries_ALmean_.shape[0]):\n", + " minregret_ALmean_[i,:] = calc_min_regret(queries_ALmean_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALmean_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALmean_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "id": "IkDnLIeV8EsW" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4728469468.543987\n", + "0\n", + "4004625132.422012\n", + "0\n", + "2973638943.1437907\n", + "0\n", + "2297691391.6936197\n", + "0\n", + "2638576394.940292\n", + "0\n", + "3776580166.0675683\n", + "0\n", + "2339833592.0686445\n", + "0\n", + "2527139575.7175636\n", + "0\n", + "2284674485.060337\n", + "0\n", + "3153697713.676095\n", + "0\n", + "2251656592.5509877\n", + "0\n", + "2217643250.4620442\n", + "0\n", + "4840542027.311466\n", + "0\n", + "2619650684.9050045\n", + "0\n", + "3124177786.6842723\n", + "0\n", + "2883844439.188771\n", + "0\n", + "2487148677.8522215\n", + "0\n", + "4502984055.6965275\n", + "0\n", + "2742792358.080822\n", + "0\n", + "2344645368.9957104\n", + "0\n", + "3966511473.7488704\n", + "0\n", + "2737504019.6908765\n", + "0\n", + "4884004836.683494\n", + "0\n", + "4816779416.323184\n", + "0\n", + "3853268385.543044\n", + "0\n", + "2705691209.528984\n", + "0\n", + "2584434433.194055\n", + "0\n", + "2815456283.107728\n", + "0\n", + "4894300047.425492\n", + "0\n", + "3058482051.731032\n" + ] + } + ], + "source": [ + "# BO by maximizing variance\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALvar_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALvar_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALvar_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALvar_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 143152, + "status": "ok", + "timestamp": 1594652355477, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "YcSRILz68IB4", + "outputId": "8345fc2b-0fe8-4cb8-e9cd-bec49f707c92" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALvar_ = np.empty(queries_ALvar_.shape)\n", + "for i in range(0, queries_ALvar_.shape[0]):\n", + " minregret_ALvar_[i,:] = calc_min_regret(queries_ALvar_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALvar_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALvar_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "id": "ojEykqnA8NKq" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + 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"3696779427.641561\n" + ] + } + ], + "source": [ + "# Number of samples \n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALUCB_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALUCB_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(-np.pi, np.pi * 3/4, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALUCB_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALUCB_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 170976, + "status": "ok", + "timestamp": 1594652383315, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "5_buYVDD8PwX", + "outputId": "80f06e09-562e-4829-98fb-587a4eac91ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALUCB_ = np.empty(queries_ALUCB_.shape)\n", + "for i in range(0, queries_ALUCB_.shape[0]):\n", + " minregret_ALUCB_[i,:] = calc_min_regret(queries_ALUCB_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALUCB_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALUCB_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 171356, + "status": "ok", + "timestamp": 1594652383704, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "KeBcoGtb8R2w", + "outputId": "4b56be31-68ef-4006-bf29-1cd625a4af05" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(1,2,1)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "\n", + "plt.subplot(1,2,2)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of RMSE over runs')" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "Gaussian Processes and Active Learning 200722a.ipynb", + "provenance": [], + "toc_visible": true + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/Gaussian Processes and Active Learning 200722a.ipynb b/Gaussian Processes and Active Learning 200722a.ipynb new file mode 100644 index 00000000..d8d000f9 --- /dev/null +++ b/Gaussian Processes and Active Learning 200722a.ipynb @@ -0,0 +1,4333 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "Wa6ZQnk939RP" + }, + "source": [ + "# Introduction to Guassian Processes and Active Learning\n", + "A. Gilad Kusne aaron.kusne@nist.gov \\\n", + "Austin McDannald, austin.mcdannald@nist.gov" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NDd8sa7rXh0t" + }, + "source": [ + "Install the required packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 47948, + "status": "ok", + "timestamp": 1617137243122, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "xkA-iGkQ2hw7", + "outputId": "ca494f3d-e993-4f88-ea84-21e22917f048" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR: Invalid requirement: '#'\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: GPyOpt in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (1.2.6)\n", + "Requirement already satisfied: numpy>=1.7 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.16.5)\n", + "Requirement already satisfied: scipy>=0.16 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.3.1)\n", + "Requirement already satisfied: GPy>=1.8 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPyOpt) (1.9.9)\n", + "Requirement already satisfied: paramz>=0.9.0 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (0.9.5)\n", + "Requirement already satisfied: six in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from GPy>=1.8->GPyOpt) (1.12.0)\n", + "Requirement already satisfied: decorator>=4.0.10 in c:\\users\\pdine\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages (from paramz>=0.9.0->GPy>=1.8->GPyOpt) (4.4.0)\n" + ] + } + ], + "source": [ + "!pip install GPy # GPFlow, GPyTorch\n", + "!pip install GPyOpt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "executionInfo": { + "elapsed": 1320, + "status": "ok", + "timestamp": 1617137341028, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "sUPt9qaP339F" + }, + "outputs": [], + "source": [ + "# Support for math\n", + "import numpy as np\n", + "\n", + "# Plotting tools\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "# GPy: Gaussian processes library\n", + "import GPy\n", + "import GPyOpt\n", + "\n", + "import math\n", + "\n", + "from numpy.random import seed\n", + "seed(12345)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=2)\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lvHJ4i7b6G9l" + }, + "source": [ + "This function allows us to plot Gaussian processes." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "executionInfo": { + "elapsed": 462, + "status": "ok", + "timestamp": 1617137361146, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aby9EEjf34xb" + }, + "outputs": [], + "source": [ + "def plot_gp(X, m, C, training_points=None):\n", + " \"\"\" Plotting utility to plot a GP fit with 95% confidence interval \"\"\"\n", + " # Plot 95% confidence interval \n", + " plt.fill_between(X[:,0],\n", + " m[:,0] - 1.96*np.sqrt(np.diag(C)),\n", + " m[:,0] + 1.96*np.sqrt(np.diag(C)),\n", + " alpha=0.5)\n", + " # Plot GP mean and initial training points\n", + " plt.plot(X, m, \"-\")\n", + " \n", + " plt.xlabel(\"x\"), plt.ylabel(\"f\")\n", + " \n", + " # Plot training points if included\n", + " if training_points is not None:\n", + " X_, Y_ = training_points\n", + " plt.plot(X_, Y_, \"kx\", mew=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IjuRaWnL6Vh9" + }, + "source": [ + "### The Kernel is key:\n", + "Gaussian Process: P(X) ~ N($\\mu$,K)\n", + "* $\\mu(x^*)=K_{*x}(K_{xx}+\\sigma^2I)^{-1}y$\n", + "* $\\sigma^2(x^*)=K_{**}-K_{*x}(K_{xx}+\\sigma^2I)^{-1}K_{*x}^T$\n", + "\n", + "Let's see how using different kernels impacts the possible curves.\n", + "\n", + "Applications for each?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LCsVZdn-sap8" + }, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 23575, + "status": "ok", + "timestamp": 1617137428168, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "7B1UW-BY6UVu", + "outputId": "3e72ed57-abd8-46a2-df61-6dd9046855e0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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PQ9nenziJX/RWUrP3Ryfxg8zY+2OT+HV/np69v7cpENreP0Tt/d2T+MGQtvfHj1Ff7f2aVNGCP1N4uyDgBXvuYLdk+BMIQFczZBUOdktODrydYHUOdis0mjA+D5jM6k+jGUQ80hIsvRcUqObBt/fHiH7IkL0/nqDtu70/dk4/DGV7f+ycfhjK9v505vRDEvb+JKZApGPvTyz6YajZ+3ubApG+vT9ejPpu74+d0w+ZsfdHi/54e5COvT/xnH5jqfB7qdn7M0+g90WGJfHPqJrU2P4K/HY6/Hw8vHQrtNUNdouGL+v/Ag+cCT+vgpcXQ6e+15c2ax6D382CH5XB328AT0fv39HEZ9Oz8LNK+FE5PPF5cJ8Y7BYNX3Yvg1+Mh5+OgSevhhPJXUJrNBqNRqPR9BcSiT9Df0MNPcLfV9Y/AS/fBmXTYdLFsPEpaNoLX35Vj16lyvZX4eXbYWQ1zP4KrP8zHF4PN78NZmvv39eE2fMWvHYPVMyFcZ+Btf8LzQdVv7RlD3brhhe7l8JL/wfKZ8LIWbD2cXjqC3Dds9o5kSqbn4MXbobSqVAxX93ge+4r8KWXwKz/O9IMPO6AhRpPUcQ7TSnY+5Mb5YfU7P2JkvhBX+z98SYP9N3enziJH6Rv7+95lB/St/fHM30PZXt/bBK/yPZ1f56Cvb9bEr/ua0rX3p90Ej8YEvb+ZKZADCV7f2wSP8iMvT92LD4T9v7ESfxA2/sHBn2F1Re6WmDZfTDmLLjxFSVKK+bCS1+H1X+AT9w+2C0cPnQ2K4FaOg3+Y4mK5fhz1cj0hw/DWbcOdguHD2118PxNUDJFCSlblhL9f79B9cuzvznYLRw+tDfCs1+G0tPhSy+CI08d4y/cDG//GBb8YLBbOHxwt8Hr34RRs+FLL6jpT6Nmq5spy++DBT8c7BZqTkHcAQt7O4u7vZukvT/JOf2Qmr0/4Zx+GHr2/m5z+kHb+8MMXXt/siX7jMfMz+mH1Oz9yYl+SM3en2hOPww9e3/ikn2Qvr2/5zn98fbgpLT3S/APvcH5jKAt/X3hX/dDRwMs/HF4BHrGtTDpElj+fWg5NLjtG0689UNoPwb/9kA4llMugwkL4O2fQOuRwW3fcGLVAyoHwtV/UmIfYOq/qX654rdKxGqSY82j4DkBVzyixD7A9EXqb82j0J446ZImgg8fhs4muPCn4VwnM6+FWdfD6gf1Ma7RaDQajWbQkKgbGZn4G2roEf50aW+E1X9UAn9Udfh9IeDCn8BvX4d1f4bz/mvw2jhccJ+ADX9TsRw5M/y+EHDRz+GBObDydyqumsR4O+Gjv8Lkz0HxpOjPzr8X/jAf3vsFXPTTwWnfcMLbqUTqxAtjY/npb8Cmv8Oq36u4ahLT1Qor/0fdwBs9O/qzT98DHz2pYq1jqRlgvH4zNe0jevi0F3t/Gkn8YPDs/bGj/MYnfbX3RyfxU08zYe9PbpQfUrP39zSCfarZ++ONYGfG3h+dxC+y3fFJ0t6fZBI/SM3e3z2JHyR2Q5y89v54MdL2/pMFLfjTZdtL4PfA/FtiPysYCxMXqjnoZ38TLL14a051tv0DvO1Q/aXYzwqrYPLFsPFpOP8+sNhjl9GE2foidB6HOf8R+1nxJJh+DXz0BHz2u+HRf018Nj6tHDzxpuYUT4TTPw8fPgKfvAOc+QPfvuHE5r+rfnnO/4v9rHAcTPmcyo1w9jd0jgnNgOLzmzjU5kqwRM/2/nRK9sHg2ftj5/QbW+irvb/nkn2Qvr0/2ZJ9xl4ka+/vTdBqe/+pZu9PrmQfpGbvT1b0Q6r2/gQl+0KrTN3en2zJvnh7kG7JPkjd3t+/CPzxz7TDHm3pT5ctz0PRRCibFv/zOV+FE0dhx6sD267hyIa/QeF4qJgX//NZNygr8M5/Dmy7hiNrHlP9svLT8T+feZ2yqO98fWDbNRz56Al1fI/9ZPzPz7oNPG36GE+Gbf+AEROi3VCRfGKxmoay8amBbZdGo9FoNBoNQUu/zMzfUEOP8KdDyyHYvxLO/bayncdj/GehoBLW/S+cccWANm9Y0bQP9q+A8/47QSzPhbxRSoCdfvnAtm840bQPDq+FBT/qOZZjP6liuenvMO2qgW3fcKKtDg6vg/O+03MsR1VD/ljY8oKah66JT3sD1LwPn7qr51hWzIXiKbD1JXWzVKMZKPwmmluScZXE2vtjkvhBhuz9sRV+hrS9v3sSv+Cq+mrvTyeJHyRh709iBDsde3/So/wwJOz9vY1gp2/vjzeC3Xd7f+woPwxle3/iJH7G2sLPk7f3Ryfxg8zY+2OT+EEm7P2JkvgZ303F3q9JDy3402HLC4CEM67seRmTCc64Clb8GjqaIKtwwJo3rNj+snqc8YWelzGZYeYX4b1fqsReeeUD07bhxsfL1OOki3pexmSCaVer+dTtDZBd1POypzK73lCPky7ueRkhlK1/5f/oYzwRO14D6YeplyVebsql8K9f6n6pGVCEH/zNyc4Pjbb3Jy7ZF7F8AuLb+3ue06+2l569P94F+qlo709Uss/4Tjr2/uTn9ENq9v7EyWHTtfcnI2iHkr2/ryX7oCd7f7Toh8zY+9OZ0w+DZ+9PXLLPWNlQsPf3LyerpV8L/nTY8RqUz4AR4xMvN+lidQG7eynMuGZg2jbc2POWGtlzjU683NTLVbK5j5dC9Q0D07bhxu6lUFDVe7+cfg28/xs133/uTQPTtuHGzjcgfwyUTE283BlXqFhufxlmf3lAmjbs2P6yckKUTU+83JRL4b2fq+km+hjXDBDCD5YWM7Q48bn8NAPNLdnku9oBqGkfQWW2uhSu8RRRaWvAGO1v8XtxCWuM8M/CRkfAA2YvxeajHPOrS+NKWwM1HnUzqzK7MZws0NVOc0t2aLTf4wJbC4DA7bJgb1H+UK/LirXFqy7cch2Y2rrU5XiWE9nRqfYHkD0If7/Hi7BZ1cV1Zxc4HZgA+4kuAjlKrFpbwZunRKO9Bdyu4AV/iwWPS+LFTl2zHWu+O7T+fe1FVGUrUVpDMZW2Y0ALR/0BSs3+GOGfZ3ISCMqCfJOP5oAPaGKMpYkDvvCN07HZTexvD77O76C1OQsPtmB81ErdeSbsQXXkcZmxtQT3O8+OpdUdig/B+NAFwmJF+rwxo/14fZiswcvizi6E06EEbXsHMjsLayg+Skyp+BjCX0CLFY9L4sbBoRYHdpcSY/vbChibexyAPV0ljHfUA3DYB6MsSvifkB5yhC3uaH+hrYumQABooNLaQI1X9aEqZyP7OoN9KK+No625dODE7QLRon7DcF8y4XaZsLcECKm+XAfmUB/Kgg4lsM12O9LtjhH+AY8HhLp1I91uhN2uvtvRAVlZIWmmYmTrFiP1m3lc6qZEZ0su0uXjKHC0NZfSvDbVlzpHUOUMHm9eqLQ2hEf7gzHqPtqfY4ETUgn/UZZWDvtURZ3xjnr2dJWovpR7nP1tBUr4u8Dd4giN9nvyBLbW7jGyQ54da6tbdd/sLER7h9pfpwPZ2RUj/LuLftnlRjiMGHVClhMLYGl14wv2IVuLH4/LDKh+7M5T7aDFgccVoBVobc4iL78jtOq9nUWMc6rj7YAPxliU8G8O+Mg3WWKEv9Nsp1O6AS+l5iaO+s1gg0rbMWo8qiRpVXYD+3KLONiWr4R/PniblfBXfUj1cbfLHDwfWfDmWbC2+pTwz3FgOqH6u8npgM4uAoCwWZEeb9zRfunxIGzBvtjRichyYgJsbV0EcoPnoxYvXpcVMEecj/oPyckr+PUc/lRxn1C26fGf7X3ZkbMgp1TPl+4JbyfsX6Us+71Rerqyou96s//bNRzxdsG+92DCBb0vWzpVJUrbvaT/2zUc8XTA3rfVDbueLOgGZdNV/omtLw5M24Yb7hOw910l5nuN5TR1Y2D7KwPTNo0mAp8rfLFuiH0gJPaBoNgP44oQHaaIy6mOQHgUyxD7QEjsA1GVAbpPKbC1hJ8bYh/UxW9oe23hkT1D7IMS+z0hbBEjo05H6Kkh9sEQ+4rIi2uPK6IdEWIfCIl9ICj2FaXmcExDI44QEvtAUOwrIsU+EBb7KNFjYIh9ICT21fvh7VlaI9oYER+IHnWMJCT2UaIutHx2eNuG2IewkDWIjJEh9oGQ2AdCYh+CYj9Ijuh56FWJfYUh9oGw2EeJ5lDbW8L7Ed2XoouFmSP6kCH2QYn58IuI74jw/gp7hNshKzoBsCH2ITpGnojcmNIV/t0NsQ+ExD4ExX4EPcVIiX2FIfaBkNgHddMl1KaW8G8LBMW+IjJG1og+JNoj4tMZjlvopkgchCMyRs7QU19EH1JiP9iucNPxuMLtiBT7QEjsgyH2Ffmm8O8eeT5SYl9x1B/eniH2Qd20O9gWTj7sbQ63UYl9RdT5qDW874bYVxuMODdFiP3uhMQ+wZtyQQyxDwTFvqK/xf7Jjh7hT5UDqyHgg6oekqJFYjKpkl5bXgCfW2eY786BVeB3w/jzel9WCCVmNz8HPo+ufNCd/e+Dr1OVPUuG8Z+FDU/qfhmPfe+Br0sdu70hhKoi8cFD6kaBrnwQzaEPIeBN7qaeEOrGwAcPqTJ+jrzev6PR9BHhN0RRquWfeinZF3w/PXt/ciX71Pa0vT/2efRexFjXE5Ts676m1Oz90XP6IUP2/iTn9MNJbu9PVLIP+mDv73lOP/TB3t/Hkn2g7f3RDMwc/oA8OW8saMGfKvveBZMVKuYnt/yki1V5vpoVcFoSroBTiT1vg9kGYz+R3PITFsK6P6kbBePO6demDTs+XgYWB1R+KrnlTzsf1jwSjOVn+rNlw4/9K1S/HHNWcsuPO1fN4z+wUsVVE2b/ShDmnitwdGfSRbDqAXW+nJwgf4JGkyGEP3qEL7L8U+/Cv+eSfcbzdJL5JVuyD1JL5peoZJ/xfCgl86uy17PPXUJ3+prMLzQFIsPJ/Gwt4AlOgUirZB/ETeZXICx4pY9USvZB78n8PHlObK2qbyQq2QepJfOznOhChlwjPYt+SC2ZXx1QFhT+iUv2QSrJ/LrywdRsCP9IQWuQXjI/6fcjzOaMJ/Orbc1jZF68/etbMr9KRwM1XdH5czKSzM/pJNCpXDYxoh/SSObXf2hLvyZMzb9g9JzkR/LGnQNmu5qrrolm79tKCCRbd7vqbCXEtBU9lpp/qVhanb0vC+rGgMkKHy/v33YNRw6shpHVYHX0viyoGwNmG+x9p1+bNSypeV/lO7Hn9r4sqHOrxaH6s0ajOaWJJ/Yzgexm8c8Unn6yHHtlz7bxvmCI/Uwjc5L8vzNFyiwdvS+UBkrsZx5h7p8R6fhiv+90F/uZwhD7msFFj/CnQmczHNkIZ38r+e9YneoitmZF/7VrONLRBHWbVdmzZLHnqLJyHy+HhT/qv7YNN9wn4OhW+PQ3kv+OPQfGzA/eiPpBvzVt2OHthNoNcNatyX/HlqVutmjBH423S+U7mXtz8t+x2FUs973Xf+3SaCIw+WVwXmps+afBsvcnLtkHQ83en3CUH4acvT9hyT7og70/Xoz6bu9Pp2QfDJ69P3HJvu7bTsXe33PJPkjf3p9syT5Izd6fqGSf8Xgq2PtDcYlYZ9/t/f2DROA/ScfCteBPhf0r1Umu6uzUvlf5SZVhvqsFHK7elz8VOLxePSZr9TWo/BS89QNdBi2S2vWqX1bMTe17p30Wlt0HbUcht7RfmjbsOLxezTkfk+SUHYNxn1H9UpeUC3N4Hfg9yU8zMag6OxjLRsge0fvyGk0fEH6JvdVP/PJPJ5e9P5Hoh1iJkay9P/k5/ZCavT850Q+p2fsTleyDzNj7o2PUN3t/4pJ9kL69v2fRD+nb+9OZ0w+p2fu7l+yD9O39iUv2dW9rCvb+BCX7um8hFXt/8qI/eoO92vt7SY2Vtr0/2wntnb3P6YchYe8/Wefwn5y3MfqLQ2vAZIFRs1P73thPqgP/wOr+addw5PBaQKhKBqlgzPfXsQxz8AP1OPrM1L5XGUw8eWBVZtsznDkY7Fep3ogaF0xKp0f5w+x/HxCp3zypCubn0LZ+jUaj0WiGN+3Dx9JvzOHPxN9QQ4/wp0LtelWXO9m5vQaj56j50jUrYOLC/mnbcOPQWiienPzcXoOR1Wq+9IGVOqmXwcE1UDQJnKiZmj0AACAASURBVAW9LxtJ2XSwONUNg9Mv75+2DTcOrFaxTNU9MnIm2HKVC2jaVf3TtuHGgdXqfJlqvxw5E2w5SvDrfqnpZ0RARpW7izY1G69PEnt/tyR+kBl7f9JJ/CBFe390Er9EpGLvjzeGG7U50rX3dx/lj15S2/tjt3Ey2/u7J/EL0Ud7f/ckfolJxd4fncQvHunY++P1tL7Y+zXpoQV/skgJtR/B6Z9P/bu2LOUK2P9+5ts1HJFS2X3TEexWRzCWelQaULE8tCa9WFpsKpZ6hF8RCKibH1PTEJkmM4yercrQaVS/PLJBZd1PFbNVJULUeU80A4E/gKXN3e1Nbe9Pzd6fTsk+ONns/YlL9qkl07L3JyrZB32w9ycn+iE1e39PMTrV7P3xYpQZe386c/qjNxjf3p/cnH5Izd6fVsk+6NHe378I/PLkvLVwcu5Vf9C0V83BH1md3vcrP6mSgbnbMtuu4UjTXuhsglEpWtANxpylxISnPbPtGo407lGxHJ3i/H2DMfPgyCYdS4Dj+9QxnurUCIOKeSp5oj7GoeUQdDRC+cz0vj9mHhzboRKlajQajUaj0fQzEghgysjfUEOP8CeLkWRuVJqCf8xZIO9XLoFUk/6dbBxepx7TFVZjPwErfqWmBYw7J3PtGo4cXqseR89J7/sV80H61W9yqvfLIxvUY/mM9L4/eq66i394ve6XRixTzdFhYPTn2vUw/rzMtEmjiUdAYmrr6uFiSNv7DRLb+6OT+EFm7P2xo/wwlO39iZP4RW8lNXt/dBI/yIy9PzaJX/fn6dn7e5sCoe39Q9Te3z2JHwxJe78mPbTgT5baj9R85+Ip6X3fSPR3aK0WVofWgjUr/VhWzAWEmiN8ygurTcF+OSm971cEhdWBD3S/PLJJ5dpIt18aN7AOfqj7Ze1HIMxQenp63x9ZDQh1rtCCX9OfBALQ0Rknx7RBz/b+pEU/DAl7fzol+yAZe388Qdt3e39fS/apdgycvT9xyT7jk6Fj709nTj8kYe9PYgpEOvb+xKIfhpq9v7cpEOnb++PFqO/2/nRK9kEy9v6eS/YZz1O19/cnQzHhXiYY9oJfSsnBtoPkO/LJteYiRD/9ULXroXw6mNMMWVYhFI4Lj24PQaSUtHpaCcgA+fb8/ovlkQ1qFDXdWDpcSuDWrs9suzKIlJIT3hN4/B4KHYX9F8u6TVA6Vc0hTwdngUqsdnDoVj0IyABtnjYCMoDL7sIk+skqdWQjlExRuQ3SwZmvElEO4Xn8UkqOu49jFmZyrDmY0+03vVG7IZjg1Jne9x156rc4tCaz7cogUkoauxoxCROFDl0iVKPRaDSa4YyUJ+8c/mEv+Dt9nVzy4iUAOC1O5pTN4byK87io6iKyrFmZ2UjAr8RA9Q19W8+o2UMyEdWHRz7kuV3P8d7h92j3qrncWZYsqkurOX/M+RmOZUDNc575xb6tZ2Q1fLxMJQfrLzGdBmvq1vDsrmd571A4ljnWHKYVTePCqgtZMHYBObacXtaSJFJC3ea+ZzIffSZsf2XIxfKj+o94cvuTrD6ymha3spflWHM4o+gMLqy8kIWVCzMcy03pJZmLpGIubHtZ9XPT0PlPY0P9Bv6y7S+srVvLcfdxQB3js0pmsbByIRdVXYTDkmL1kZ7oS8K+SEbNhh2vDrl+uaF+A09uf5JVR1bR4m7htpm38bUZXxvsZmnSRQaQHZ1J1HuOtfcnn8QPUrP3JzfKD6nZ+xMl8YO+2PvjTR7ou70/cRI/SN/e3/MoP6Rv749n+h7K9v7YJH6R7ev+PAV7f7ckft3XlK69P+kkfjAk7P3JTIEYSvb+2CR+kBl7f6x/Stv7B55hL/jNJjM/+tSPaO5q5mDbQd6vfZ/7Dt3HL9b+gs+N+xyLJi1iYsHElNZ55MQRalpraOpqwmF2UOpxM8nbgTXdub0Go86Ezc9Cay3kjezbujJAfUc9P/ngJyw7sAyX3cWFlRcyzjUOIQQHWg+w4vAK7lt1H/evvZ8rJlzBtVOuZVTOqJS3sad5TyiWJT4vkz0nsJae0bfGj6qGjX9TycHyK/q2rgxwrOMYP/7gxyw7sIx8ez4LKxcyzjUOi8nCvpZ9rKpdxb0r7+Xna37O5addzrWTr2Vs3tik1y+lDMWy1dOKSZgolyYmdTVjK5vWt8aPrIb1f4HjNVBY1bd1ZYCmria+t/J7vHXwLQodhZxbcS4TCyZiEib2Nu/lw7oPuW+VOsavnHAl10+5nvKc8qTXHxVLbysCQYWwM66zCUe6SeYMRs9VsWz8GIpTO+/0B8e7jvO9Vd9j+YHl5Nvz+UzFZ5hUMAmJ5EDrAVYfWc13V36XX637FVdMuIIvTPpCSrEE8Pg9bGvcxpH2I5iEidFYmdDRiK3PsZwDHz2hknyOGN+3dWWA413H+eHqH7Jk/xJybbmcP+Z8JhZMZG55mgkzNf2CEOIbwC+AYill4snMgAxIpDucpT/+5alBd3t/GnP6oXd7f5Jz+iE1e3/COf0w9Oz93eb0g7b3hxm69v5kS/YZj5mf0w+p2fuTE/2Qmr0/0Zx+GHr2/sQl+yB9e3/Pc/rj7UGv9v5+JqAt/UMTu9nOZeMvC72WUrLx2Eb+vvPvvLj7RZ7Z+Qwzi2eyaNIiFlQuwG62x6yjuauZD+o+YPWR1ayuXc2hE4dilnGMHc25R99mUd1EzixLM9mcMcf30FqYelniZfuZTcc2sfitxZzwnuCO6ju4YeoN2MzRR7IRyye3P8lft/+VJ7Y/wXkV5/HFKV+kuqQ6rh241dPKmro1fHBExXNfy76YZZxjR/Op+nf4Yt3pzC6dnZ7d3aiWULt+0AX/xmMbuevtu2jztHH7rNu58fQbY/qZlJLNDZt5asdTPLPzGf62/W98evSnuW7Kdcwvnx/Xpt7qaWVV7SpWHF7BytqV1HfUxyzjHDuaTx1bwXVHZ1FdUp1mLIOJ1Wo/GnTBv/HYRu5+526au5pZPGsx10+9Hqcl2hYupWRTwyae2vEUT25/kie3P8mCsQu4YuIVzC2bGzeWxzqO8WHdh3xw5ANW1q7kaEfs5YJzzCg+3bCSa47MYE7ZnPRiaST1PLJh0AX/1satLF6+mOPu4yyetZjrplwX49SRUrKmbg1/2/E3/rT1T/x565+5YOwFXDnxSuaUzol7jLd729lQv4F1R9exvn49Wxq24PZHlzWzja3g3MZVXFl7BvPL56cXSyNx38EPB13wb23cym3Lb6PZ3czts27n+inXZ871pMkYQogK4ALgwGC3RaPRaDTDCwn4h2CG/Uww7AV/d4QQzCyZycySmXxrzrf4x55/8OyuZ/n2im/zszU/Y1bxLEbnjsYkTDR2NbL7+G52H9+NRJJtzWZO2Ryun3o9EwsmMsIxAk/Aw/6Vv2bNviW83riVf775FT416lN888xvMi5/XGqNKz1DJQU7vG5QBf+7B9/lnnfvochZxGMLH2N8fvyL6chY1rXX8fSOp3l217MsO7CMAnsBM0pmMDpnNEIImrua2Xl8Jx83f0xABnBanFSXVnPlhCuZOmIqI5wjcPvcHFr9O1bvfYM3mnex9M2vMK9sHv937v9lQsGE1HaizIjlepj6bxmISnqsrF3J7ctvpzirmL9e/FcmFcZPnieEYHrxdKYXT+fu2Xfz7K5neWbnM3xt6dfIt+czq2QW5dnlWE1WmrqaomKZa8vlrPKzqC6tZlLBJAocBXgDXg6u+h9W732dpc49LH3jy1SXVPOf8/6TyYWTU9uJkqlgtqmbJ2dckYGopMeKwyu46+27KHIW8eQlT/a4H0IIZhTPYEbxDO6YdQdPbn+SF3a/wD9r/hnqlyOzR2Iz22jobGB743b2tOwBINeWy/zy+ZxZeiYTCiZQYC/AL/0cWPUbPtj7BkucH7NkyX8wq2QW95x5DzOKU3T1FE1SSRRrN8D0RX0NSdpsbdzKTUtuIteay5MXP8mUEfETEQohmFs+l7nlczl84jBP73ia53c9zxs1b1DoKGRa0TQqciuwmCw0dDawp3kPO4/vJCADmIWZyYWTWTRpEbNLZjM2byx+6Wf/qt+yZu/rvNG8izeX3kx1STV3zb6LmSUpjvgXTwJrtroRNfPaDEQlPd4//D53vXMX+fZ8nr7k6R6Pcc2Q4NfAt4B/pPIl2UO950Gz96eRxA8Gz94fO8pvfNJXe390Ej/1NBP2/uRG+SE1e39PI9inmr0/3gh2Zuz90Un8ItsdnyTt/Ukm8YPU7P3dk/hB7Ej/qWHvjxej9O39mvQ46QR/JPmOfG48/UZumHoDH9Z9yEsfv8SOph18UPcBAkGePY9xrnGcP/Z8zio/izOKzsBiig3J5LZWFppK+Mait3hm5zM8tPEhrnj5Cq6ZdA23zLwFl92VXIOsDiibNqiJ+1YeXsld79zFhIIJ/PH8PyadbKosu4w7Z9/J12Z8jXcOvsN7h95TsTyiYplry+W0gtM4b8x5zCubx4ziGVjN1pj1TGlr5QJG8I2rl/HC7hf448Y/cvUrV7No0iJunXlr8rG02JXoH8RYrj6ymsVvLabSVcmjCx6lwFGQ1PeKs4q5ZeYtfHXaV1l+YDkrDq9gc8Nm1tStwS/9uOwuxrvGc96Y8/jEyE8wrWhaD/2ymQso5BtXLeGlj1/iwY0Pcs2r17Bo4iJum3VbCrG0qX5ZuyGV3c8obx94m7vfvZvT8k/jwfMfZIRzRFLfK88p5xtzvsFts27jnYPv8K/D/2LTsU2sO7oOj9/DCMcIKl2VXHbaZcwrm8fkwslxR60ntbZwgSjiG1ct5cWPX+ThTQ9z/evXc+m4S7lz9p2UZJUktyNmi+qXtR+lsvsZZVvjNm5ecjO51lwev/DxpKfhjMoZxT1n3sMtM2/hvUPv8e7Bd9nWuI11R9fhDXgZ4RjBmLwx3DTtJqpLq5lZPDPuKPek9hMskAV8c9FbvLD7BR7e9DBf+ueX+Pxpn+fO2Xcmn+DOZFaxrNuUyu5nlFW1q1j81mLG5Y/jD5/9A8VZxYPWFk1ihBCXAYellBt7c5QIIW4GbgZwkNXj/NDe7f2i2+vM2PvTKdkHg2fvj53Tb2yhr/b+nkv2Qfr2/mRL9hl7kay9vzdBq+39p5q9P7mSfZCavT9Z0Q+p2vsTlOwLrTJ1e3+yJfvi7cHAi36dtG9YI4RgXvk85pXPS28FR7fAqDNxWBzcePqNXDr+Uv6w4Q88vfNpXt/3OrfPup0rJ1yZXMbrkTNh8/ODkohqTd0aFr+9mHGucTx8wcPJC8IInBYnF1VdxEVVaSbkOroFRs7CaXFy3ZTruKTqEh7Y8ADP7HyGf+77J7fNvI2rJl6VZCyrYdPfByVB2odHPuT25bdTkVvBIwseSVrsR2Iz2/oWy7rNMKoap8XJtZOv5eKqi/n9ht/zzM5neLPmTW6bdRtXTLgi7s2CGEbOgo3PDEosVx5eyT3v3sPkgsk8tOAh8mx5Ka/DYXFwYdWFXFh1YXqNqN8K5TNxWBxcO/laLht/GY9ufpQ/b/0zyw4s46ZpN3HD6TfEnRIUQ/lM2PjUoMRyW+M2blpyEznWnJTEfiROi5OFlQtZWLkwvUbUb4eSqdjMNr4w+QtcNv4yHtz0IE9sfYJlB5axeNZirp54dXLHeNl02Pj0oMRybd3a0A29Ry54hHxH/oBuXxOLEGIZUBbno/8Cvg0sSGY9UsqHgYcB8kShzFgDNRqNRjNskUBAW/pPUbpaofkAVN8YeqvQUch35n+HRZMW8ZMPfsIPVv+A53Y9x7fmfKv3+f1l02Dt42qdBcknbesrH9V/xK3Lb2V0zmgeXpCe2O8zXa0qMdysL4Xeynfk85353+HqiVfz0w9/yg8/+CF/3/V3/t/c/8ecsjmJ1zeqGtY+NuAJ0tbWreW2t25jVM4oHl3w6OCU5Opqheb9UZUjXHYX3573ba6ccCU//fCn/GD1D3hqx1N8c843+cTITyRe38hZsOZRaNoDRSlOr+gDa+rWcMfbd1DlquLBCx5MS+z3GU87HN8PM8KVI7Kt2dxRfQdXTLiC+9fez+8++h3P736eb575Tc4bc17iOekjZ8KaRwa8X25v3M5NS24i25qdttjvM94uaNwDU8OVI7KsWdw9+24uH385P/7gx/zogx/xwu4XuOfMe5hbNjdxLMunq1ge3zeg8/g3HtvIrctvZWTOSB6+4GEt9ocIUsrz470vhJgGVAHG6P5oYL0QYq6Usi6pdfdQ7zmxvb97Ej/1Xl/t/TFJ/CBD9v7Ym2xD2t7fPYlfcFV9tfenk8QPkrD3JzGCnY69P+lRfhgS9v7eRrDTt/fHG8Huu70/dpQfhrK9P3ESP2Nt4efJ2/ujk/hBZuz9sUn8oC/2fk4id78Q4kLgt6gu/6iU8qfdPh8LPA4Uo36g66WUh4Kf+YHNwUUPSCkTzhXPiOAXQjwOfA6ol1L2Mf36EKN+u3osPT3mo4kFE3l84eO8UfMGv1z7S77y5leoLqnmqolXcW7FufFLhpUF5wTXbR4wwb/52Ga+vuzrlGaV8ujCQRKoAPXb1GOcDP2TCifx+MLHWbJ/CfevvZ9/f/PfmVk8k2smX8M5o88h15Ybu76y6erx6OYBE1brjq7jluW3UJ5dzqMLH03aep5xju1UjyVTYz4yYrn8wHLuX3s/X1v6tVDiynMqzokvqo0kiIfXD5jgN25CGaJqUG5CQTCWUtV970ZFbgW/Ofc3rD6ymp99+DPufOdOZhTPYNGkRZxbcW78fmkkQRzAxH3bG7dz09Kg2F84SGIfoGEnSD+UxvbLcfnjeGTBI7y5/01+ueaXfHXJV5lZPJMrJ17J+WPO7+F8GTzG6zYNmODf1riNry/9OiOcI3hkwSODd4xrkkZKuRkIzbsRQtQAZyaTpb+7024o2PsTl+yLWD4B8e39Pc/pV9tLz94f7wL9VLT3JyrZZ3wnHXt/8nP6ITV7f+LDI117fzKCdijZ+/tasg96svdHi37IjL0/nTn9MHj2/sQl+4yVpWDv72fB75cD474WQpiB36MSzR4C1gghXpZSbotY7JfAX6SUfxZCnAf8BDBGTTullEknR8rUCP+fgAeAv2RofUOHo1vUYxzBD2q6wEVVF3HO6HN48eMXeWLbE3x7xbexCAsTCiYwLn8cBXZl9/b4Pbi97XiKi+jc/ADugy/jkz6cFieFjkLG5I5hyogpTC+enrGRzq2NW/naMpUY7pEFj1DkLMrIetPi6Fb1mCCWCysXcs7oc3h+9/P8ddtf+c9//WdMLM3CTJe/iy5vB10lxXi2PoTnyFK8AS9Oi5N8ez6VrkomFkxkVsms+KIsDdYfXc/Xl32dsuwyHlv42ODG8ljwRlRJz4ntzh97PmePPptndz3L37b/jW+v+DZmYWZiwUSqXFUUOAqwmW14/V7cvk7cJSW4tz+Ou3EFHr8Hi8kS6peTCidlNJabjm0K34RaMIg3TgCO7VCPcQS/wfzy+Tx76bM8v+t5ntj+BP+14r8wCROTCiZR6aok356PlBKJxOf30lFSQufWh+k48iagqokUOYsYnTuayYWTmVkyM2PH+I6mHdy09CacFiePLXyM0bmjM7LetDBukMa5EQWqX15YeSHnVpzLi7vV+fK/3/9v7l15byiWIxwjCMgAvoAPn99NZ0kRnVv+SOfh1wjIAA6zgyJnEaNyRjFlxBRmFM/I2M2iXcd3cfPSm8m15fLYgseSz92gGbYIIRDBfDOGkI0c7ZceD8IWvJrt6ERkOUOXp5Y2N75cdQFsbwV3npI7tlbw5AGYocWJz+WnGWhuySbf1Q5ATfsIKrPVpXCNp4hKWwPGaH+L34tLWGOEfxY2OgIeMHspNh/lmF+1u9LWQI1H/X9Umd1ITXvwfOpqp7klOzTa73GBrQVA4HZZsLeo2QxelxVri1ddEOY6MLV1qcvxLCeyo1PFCZXcMJ7w93u8CJtVXaB3doHTgQmwn+gikKPEqrUVvHlKNNpbwO0KXvC3WPC4JF7s1DXbseaHK37say+iKluJ0hqKqbQdA1o46g9QavbHCP88k5NAUBbkm3w0B3xAE2MsTRzwhQc6xmY3sb89+Dq/g9bmLDzYgvFRK3XnmbAH1ZHHZcbWEtzvPDuWVncoPgTjQxcIixXp88aM9uP1YbIGL7c7uxBOhxK07R3I7CysofgE+1ILuF2G8BfQYsXjkrhxcKjFgd2lxNj+tgLG5h4HYE9XCeMdqpLPYR+Msijhf0J6yBG2uKP9hbYumgIBoIFKawM1XtWHqpyN7OsM9qG8No625tKBE7cLRIv6DcN9yYTbZcLeEiCk+nIdmEN9KAs6lMA22+1ItztG+Ac8HhDq1o10uxF2u/puRwdkZYUkooqRrVuM1G/mcambEp0tuUiXj6PA0dZcSvPaVF/qHEGVM3i8eaHS2hAe7Q/GqPtof44FTkgl/EdZWjnsU/9nj3fUs6dL/d8wNvc4+9sKlPB3gbvFERrt9+Spc0F0jOyQZ8fa6lbdNzsL0d6h9tfpQHZ2xQj/7qJfdrkRDiNGnZDlVOejVje+YB+ytfjxuMyAKXhuUu2gxYHHFaAVaG3OIi9f/Tb72wvZm13EOKc63g74YIxFCf/mgI98kyVG+DvNdjqlG/BSam7iqN8MNqi0HaPGo/LdVGU3sC+3iINt+Ur454O3WQl/1YdUH3e7zMHzkQVvngVrq08J/xwHphOqv5ucDnV+aaffkIiBzNI/F/hYSrkXQAjxNPBvQKTgnwrcFXz+NvBSuhvLiOCXUr4nhKjMxLqGHPXbwJ4HrsSl37KsWVw35TqunXwtm45t4t1D77K5YTMb6jdwvOs4JmHCZrZhM9uwZ2Xj6GrE7huBRVg41nGMbY3baOhUB5pZmJlfPp8Lqy7kvDHnpS0M1h1dx23LbyPPlsdjCx+jLDve1McBpGG3yrrtSixIHBZHTCy3NW5jQ/0GWtwt+KUfh9mBw+LA7szG1tWIzT0Cq9lKW0cb2xu38489KkmzSZiYUzqHS8ZdwmfHfjbtWBpivzSrlMcWDLLYB6jfobLB51cmXMxmtoViufHYRv516F9sbdzKxmMbaXW34va7VZ8027FnZWFz12M/kYvdbMcb8LKjcQcvdarzi1mYmVkyk0vHXcqCygVpi/8N9Ru4ZdktFDoKeXTBo4OfCK1+G5jtUJC4JKHFZOGaydewaNIiNhzbwPuH32fjsY1sOraJNk8bJmEK/WVlZZPlbiIroEbaT3hPsLNpJ/Wd6oLMLMzMKJ7BJeMu4cKqC9Pulx/Vf8Ttb92O0+Lk8YWPU5E7uCUqObpVVXwoTDwabzfb+cLkL3DNpGvYeGwj79e+z4b6DWxp2EJTVxNmYcZismAxWXA4c8jqasLpL0MgaPA0sKNpB8c61diKRViYVz6PC8ZewHljzksrnwaofnnr8ltxWBw8uvBRynPK01qPZvCRUlam/J0eEkKFxD5BgReBIfbBEPsKT8Th7HOFL9YNsQ+ExD4QFPthXBGiwxRx8dkRCI/cGmIfCIl9ICz2UTcYIrG1hJ8bYh/A2hLed1NbeGTPEPsQW8kgEmGLGBl1OkJPDbEPhthXKLGv8Lgi2pEfXd7TEPtAUOwrSs3hmIZGHCEk9oGg2FdEin0gLPZRosfAEPtASOyr98Pbs7RGtDEiPtBzHwqJfZSoCy2fHd62IfYhLGQNImNkiH0gJPaBkNiHoNgPkiN6HnpVYl9hiH0gLPZRojnU9pbwfkT3pSjDNeaIPmSIfVBiPvwi4jsRpXSFPcLtkBWdFNYQ+xAdI0/E/V7pCv/uhtgHQmIfgmI/gp5ipMS+whD7QEjsg7rpEmpTS/i3BYJiXxEZI2tEHxLtEfHpDMctdFMkDsIRGaPwOckX0YeU2A+2K+J85HGF22GIfVA3wQyxD4bYV+RH5IGKPB8psa846g9vzxD7oG7aHWwLT4nzNofbqMS+Iup81Bred0Psqw1GPB8eFAkh1ka8fjiYP8ZgFHAw4vUhoHuyuY3AlSjb/+eBXCHECCllI+AIrt8H/FRKmfBmwIDN4Y/MijtmzJiB2mzfqd+uRv6STLBnEqZQKbseee4/4OAHcMOTUW+3e9vZ0rCFVbWreKPmDf77/f/m+6u+z7kV53LVxKuYVz4vbo3x7kgpefHjF/nR6h8xKncUD1/w8OCLfYCGXcounslYvvh/YM/bcONTUW+3e9vZ2rCV1UdW82bNm3x35Xf54eof8pmKz3DlhCuZP3J+UrEEeOnjl/j+qu8zMmckjy18bPAFKqgR/uKJSScyMwkTs0pmMatkVs8LvXw7bH8Vbng26jc64TnB9qbtrD6ymiU1S7hv1X38+IMfc96Y87hq4lW9z8OO4JU9r3DvynvVlIgFj1KaXZrU9/qV+mAszcmdDoUQvcfytXtUQskb/9RjLN868BY/WP0Dfvbhz/jsmM9y5cQrU4rlq3tf5d7376U8p5w/nv/HwRf7oG6eFE1KKZa9H+Nfhz3L4cZoA1m7t51tjdtYcXhFqF/+cPUPOXeMOl/OL0/+GH9176t8b+X3KMkq4aELHhpcl4RmYDGJKMEaKdp6s/cnW7IPUrT3JyrZF3w/PXt/ciX71Pa0vT/2efRexFjXE5Ts676m1Oz96ZTsg17t/UnO6YeT3N6fqGQf9MHe3/OcfuiDvb+PJftgeNv7+5tA5rL0N0gpEyV2i3eK7Z5E9hvAA0KILwPvAYdRAh9gjJSyVggxDnhLCLFZSrmnp40NmOCPzIp75plnDp+suMd2wqQ0s6j3RNk02PIcdDRBVvhOc7Y1O1RN4I7qO9jauJXX9r7GK3tfYcn+JYzOGc2VE6/k8tMu73GE+WDbQX6z7jcs2b+E+eXz+fnZP097xCvjNOyCMWdldp1l01RG9BP1kBO+65ptzQ7VF7991u1sadjCa/te47W9r7Fk/xJGZo/k8gmX8/nTPt/jzZAjJ47wC/8fUQAAIABJREFUi7W/YOn+pcwrn8cvz/7l0EneVb8Dqs7O7DpLp8H6v0BrLbjCc8BzbDnMKZvDnLI53DbzNrY2buXlPS/z+r7XeaPmDSrzKrl64tV8bvzneswPUddex8/X/Jyl+5cyp2wOvzrnV0MrlmN7SWqYKmXTVBLE5v1QUBl6u3sstzVt4x8f/4PX9r7GP2v+ydi8sVw14SouO+2yHmN55MQR7l93P2/WvEl1STW/Ofc3Q+cYr98OlZ/K7DrLp8PGv0HbUcgN3yDKtmaHYnln9Z3saNrBq3tf5eU9L7N0/9Kkzpe1J2r57frf8vq+16kuqeZXn/mVnrN/qiFMmJzOHss/JUrml3hOv7FU+L3kk/n1XLLPeJ5OMr9kS/ZBasn8EpXsM56nk8yvsTWbEXlx/Lt9TOZXZa9nnzt2uk5fk/mFpkBkOJmfrQU8wSkQaZXsg7jJ/AqEBa/0kUrJPug9mZ8nz4mtVfWNRCX7ILVkfpYTXciQa6Rn0Q+pJfOrA8qCwj9xyT5IJZlfVz6Ymg3h371kH6SbzE/6/QizOePJ/Gpb8xiZF2//+pbMr9LRQE1X9P/BfU3m119IGEhL/yEgcqRmNFAb1R4pa4ErAIQQOcCVUsqWiM+QUu4VQrwDzAIGX/APSzqaoKMBiidldr3lRrK5LT2KNiEEZxSdwRlFZ3Dn7DtZvn85z+1+jt+u/y2//+j3zCqdxZyyOVTkVmA326nvqGdV7Srer30fi7Bw28zb+Oq0ryZX+mog8LRDy0EourH3ZVOhbJp6rNsMp3027iJCCKYVT2Na8TTunn03bx14i+d3P88fNvyBBzc+yOzS2cwpncPo3NFkWbKo66hjde1qVhxegcVk4fZZt/PvZ/x7cuXtBoLOZmir7XH+ftoYsTy6JUrwRxLZL++efTdL9y/lmZ3P8Iu1v+BX637F7NLZzCqZRZWrCofZQW17LWvr1vLuoXcxCzN3VN/BjaffiNVkjbv+AaerBVoPJZy/nxalEf0yQvBHIoTg9BGnc/qI07nnzHtYUrOEZ3c9y/3r7ufX63/N7NLZVJdUU+Wqwma2cbT9KOuOruPtg28jhGDxrMV85YyvDJ1+2dUCrYehuJ/6Zd0myL0g7iJCCKaMmMKUEVNYXL2Y5fuX8+yuZ/nt+t/ywEcPMKN4BnPL51KZV4nVZKWhs4E1dWt459A7CAS3zLiFm6bfNHRiqdFo4ov9DBBP7GcC2c3inyk8rngDgX3HK3u2jfcFQ+xnGpnj6H2hNCizdPS+UBoosZ95hLl/ruvji/2+013sa0KsASYIIapQI/dfAL4YuYAQoghoklIGgP9EZexHCFEAdEgp3cFlPgn8PNHG9NVNIhp2qceiDGfajhQDSYzS2s12Lh53MRePu5h9Lfv4x8f/4P3a9/nDhj9ELTcyeyTXTr6WG6feODSs0pE0fqweM5213Mj4f3RLj4I/EpvZFqrXfrDtIC/ufpEVh1fwx41/REY4aUqySrh+6vV8cfIXh95cXiNDf3GmRWowmWLdZpjYew12h8XBpeMv5dLxl7L7+G7eqHmDdw++yyObHyEQMT+vyFnEDVNvYNGkRUPPKl1vJOyLn2QubUqmqHmJdZthyqW9Lm4322Ni+c7Bd2JiWZJVwnVTruP6KdcPvX7ZYBzjGb5Bagj+IxthQnzBH0n38+Ure17hX4f/xUMbH4o6xsuzy7lm0jV8+fQvD40pT5rBwWwKJZkDEo/0p1SyD4aavT9xyT4Yavb+hNZ+GHL2/oQl+6AP9v54Meq7vT+dkn0wePb+xCX7um87FXt/zyX7IH17f7Il+yA1e3+ikn3G48ls7+9PJGLAsvRLKX1CiNuAN1Hd+nEp5VYhxPeBtVLKl4HPAD8RQkiUpf/W4NenAA8JIYxT7U+7ZfePIVNl+Z4KNqpICHEIuFdK+Vgm1j2o9JfgzymG3HI4sinlr1a5qrhz9p3cOftOOn2dHGk/gtfvpcBRQLGzOOn5vwNOw271mOlYZhVC3mglrFKkIreCxdWLWVy9mA5vB/Ud9XT4OijNKqXQUTh0Y9lLhv60ceRB/thwZYoUmFAwgQkFE7h91u10eDuo66ijy9dFaVbp0LZIGxn6My1SbVkwYkJa/TIyll2+Lg6fOIxf+nHZXEPvRl4k/XW+dLiUSyKNWFa5qkLHuNvv5lDbIQIyQK4tl9Ks0qF7jGsGDpOA7HDiq6jyT2h7P/Ru708k+iFWYiRr709+Tj+kZu9PTvRDavb+RCX7IDP2/ugY9c3en7hkH6Rv7+9Z9EP69v505vRDavb+7iX7IH17f+KSfd3bmoK9P0HJvu5bSMXen7zoj95gb/b+Uc4WDvt7rqSTqr2/vwkMYMYAKeXrwOvd3vtuxPPngOfifG8lMC2VbWUqS/+1mVjPkOPYTpW9O78fkgyWTUvrAjYSp8XJONe4DDWonzm2U414FvZDezMQyyxrFpWuysy0p7+p3wHWLHANzX6ZZc0aPv2yYRdYHP10jJ8BB9f0aRUOi4Px+QNTf77PNOwCk7XHKQx9omy6svT3AbvZPnxiqdFoNBrNSUAisa8ZOLSlPxENu1VW+f6YB182Hfa8Bd4usPbPvKQhRcMuVfbMYu992VQpOwN2vwneTrA6e19+uNOwU42iJpmhPyXKpsGO11TOBVt278sPdxp2w4jT+ukYnwZbnofO4+AcIkn1+pOGXeqGnrkfjHdl02H7y9DVqpwoGk2GkGYTgRxH3DFcbe8Pk9De3y2JH2TG3t89iV9CUrL3RyfxS0Qq9v54Y7hRmyNde3/3Uf7oJbW9P3YbJ7O9v3sSvxB9tPd3T+KXmFTs/dFJ/OKRqr2/v5AS/JnL0j+k0II/EQ27YGSCclF9oWwaBHzKUtxf2xhKNOzOvNXXoGya+o+hfjuMqu6fbQwlGnZnvtqBQekZgFSxHJ2omshJQuNuKJ/RP+sOJZvbAlWf7p9tDCUadvXfMR6Z6DTTFRU0pzTSLPDm2eOWf+rV3p+gZB9oe3/f7f3plOyDk83en7hkn1oyLXt/opJ90Ad7f3KiH1Kz9/cUo1PN3h8vRpmx96czpz96g/Ht/cnN6Ydk7f39iSAQP2PJsOfkvI2RCbxdqqRWUYbn9hpEZpc/2Qn4VdK+ogn9s/5TKZahagf9ePME+myfHhb43HC8Rs217w9KI6oenOz4vdC0tx/7ZVDwnwrHuEaj0Wg0/5+9846Po7ra/3e2a9Vty5IlF0luci9gG4MpNr0ECCUBAkkI6SHll56Q9iZ5SQh5E0hIgBQSQkIIgRAMpoMNphnj3mVbkiW5SrLVpV3t7vz+uJqd2arZ3dnVWp6HD58dT7l39uy9ozn3POc5JkwYCDPCHwvH94uVs3Q5qcVV4Mg7NRyr9gPg96TPGSiqBEf+qeEMtA2W2BwzJT3tF00EZ6GISo90HK8bnONpGpf5pZA79tQYlycaBGMpbbYsg9ySpIROTZiIh4AVBgpi13uOR++PJ+KnXGvS+1Oh94eK+IEx9P7IKD9kM70/vohfaC+J0ftDRfzAGHp/pIhf+HZy9P6hUiBMen+W0vvDRPyAFOn96YOMSek/9aCUPkvXC6zFIujTp4IzoCj0G62ErsBiESXlTglbpkkJXYEkCVueClHpoC3TtKgHgyKIp4CTmolxWTYXjmxJT/smTlnIVvAURi//NFz0ft1OP2QFvT+Zkn2gh94fzaFNnd6fask+cR+Zo/fHL9mnHMkeen8yOf2gg96vIwUiGXp/fKcfso3eP1QKRPL0/mg2Sp3en0zJPohH708v/COU/D4yv5URaN0LSELQK10YN1dEUgOBoc89maE4A+m0ZdkcOLpj5NuybR8gwag0qo2XzTHHpVEomy2qKvginYERhaDDn2ZbtuwR6QMmTJgwYcKECRMmdMGM8MdC6x4omiDqaacLZXPA+wc4UQ+jR3C5qJY9go7rHpW+PsrmwPo/QntDekr/ZQtaawXtPp2VHcpmw0DPyB+XrXuhYDw484Y+N1mUzYXAgPjdymanr5/hRuteyCsDVxrL75TOAb9X2LJ0Vvr6MXFKQUT4o8fih6L3R0T5wRB6v34RP0iM3q8vyg+J0fvjifhBKvT+aMkDqdP744v4QfL0/thRfkie3h+N9J3N9P5IET/t/YVvJ0DvDxPxC28pWXq/bhE/yAp6v54UiGyi90eK+EFq9P70QUYiII9M0T7T4Y+F1tr0CfYpKB10AI5uH/mOVbqovgq0wn0j3eFPty1PqXGZxog0hI7LEe3w16Y3NQJU+x3Zbjr8JgxDwAreAojlmg8PvT+JnH4Ymt6vM6cfEqP3x83ph+yj94fl9INJ71eRvfR+vSX7lE/jc/ohMXq/PqcfEqP3x8vph+yj98cv2QeJ0vvTDZPSfyohEIDWfel3rMbOAMky8gXSMuGkBm05gvP4AwEh2pdux2rsDJCsI3tcynJmFqJGTQaba2SPS1nOzBwfPQWsjlNDX8KECRMmTJgwYcIgmBH+aOhoAl8flKT5BdaeI0qCjeQX2J5W6DuefmfAniP6GMlOaudBGOhNv8NvzxF9jGQntesIeLvSPy6tNhg7E46OYFv2tEB/R/pEORVY7VBSM7KflyYyD6uMt1AmOp02Pr0/bpQfso/en4SIHwwfvT8yyq8cSZXeHyriJzaNoPfri/JDYvT+WBHsU43eHy2CbQy9P1TET3vf0aGT3q9TxA8So/eHi/hBZKR/JNP70wkZCJgq/acQFFX5dDsDIGiqTevT389wId3q3VqUzoamdenvZ7jQlslxOQcOvJP+foYLmVDoV1A2B3atFJFwaQTmhmXalntfTn8/Jk4ZSFYZf6E/Rvmn+PT+8Jx+MIren2LJPohK70+mZB8MH70/Mqdf6SFVen/skn2QPL1fb8k+5VvopfcP5dCa9P5Tjd6vr2QfJEbv1+v0Q6L0/jgl+4JN6qf379PVb7KQ8GeoGkCmMTKXMVJFq1KSL80RKxBOakcj9On7U37SQXEG0s2WALF40tEEvUP/cT4poSxEjc6AY1U6GzqbR7AtM7gQVTYH+k4IhsZIRKYX9XqOQfex9PdlwoQJEyZMmDAxAmBG+KOhtRZyRkHu6PT3pYh6Hd0BlWelv79Mo6UWbDlCDT3d0Nqy6uz095dptO4FZyHkjU1/X0Fbboeqc9LfX6bRuhcceZA/Lv19BYX7tkNhBuZBptG6F+y5kF+e/r6Cwn3bYMr56e/PxIiHzRrAXuSJUe95uOj94SJ+Yl+q9P4IET8wiN4fqZ6d1fT+cBG/waZSpfcnI+IHOuj9OiLYydD7dUf5ISvo/UNFsJOn90eLYKdO74+M8kM20/vji/gpranb+un9oSJ+kBq9P508XpPSf6qhpTb9+agKtIroI9Hhb60VSuiWDEygUo0i+oh0+AdtmQlauFZdfiQ6/G17hQhcJmypKMof2QbTL0l/f5lGRue45nlpOvwmDIDD4md0QU+M8k/x6f3RXJVspvfHL9mnOT8OotP7Y+f0i/6So/dHs++pSO+PV7JPuSYZer/+nH5IjN4f2+mH5On9ehzabKL3p1qyD2LR+0OdfjCG3p9MTj8ML70/HTAp/acSMlFiSkF+GbhHj1yBtEyodyvIL4XcsSNX1CsTqvIK8saKuuojVQQxk7Z05otSkUe2Zqa/TKMlg3PcPQoKKkbuuDSRcTisvuD26IKe4La/UH0hFmX7BDyFoa9NgTyX+o8cdVtyhLqmCkIcXI9HPdDbF3KevUN1fp0dsnq/Heo5/nb1bbi5qzC4XddXEtxu8o0Kabc3oDptFs0rYKHGKZlgU53a6hzVHRyfr3ZuLQpdvAixUYHqUvnyNU6nOye4KTnV/ZI1dn3tQJ/GLj3qtr1TtZ2zQ11mcWg8D2uH2m5bZ25Iuw39Y4LbB/2q7boCA0SD1vEvtapOS5UzNL2ovEC9AalQtdGA2kXIGBrIV+0u52rGj8ZWEGYjWf2+snYRqU+9L0uXah9HpzrmHJqxBGBpV127ls6g605Dn8pwbRpQt1s0fqJHVm2lOLcKyoJ5/aE2qsxXx5a7QP09vUXqd9KOJW9B6NiQNfNN0sw3iz26ixpcDABkjX2k7v6Q80JspBlDjnb1t+rtVH+Thi51XtV7VNblEZ87pN0BWe1f6/iXaL7WBLu6LFWZo26XFHSr36NIbQfAW6g6pVobBbTzLeR5pPGcJfU7hTj+gKx5Dkk9qo3sXdrnkfpb2TXPI7lD7eNQp+ZHJNRGR/3qfXUHPERDvkW1VYVV7aTSFX8xyURsmBH+cPQeh97WzL3ASpKIWo1Eh3+gD9obYf5HMtdn2eyR6Vh5uqDrkIhKZwplc0bmuPT2CK2HMR/LXJ8jdY57e4UGyZhbMtdn6SyRtmPChEGYkK/Gy0Po/Rr1fk+hGlkbKBCvTsFX0lzVEbDk5ASj/JLNHpXer3XS5N4+NTrb1R/yUubs9KPEI7VOiK1DQ+/vUB3Zhh7VMWvwqg5ti98eIuIXIBCV3l+iofdXOtQX68pc1QkpKuxR6f2F6v2BYqNBWn2h+sIeyHep0Uet0+9wRGU9KDYLuhVaR7a7P2h3e6cP5TVWLIoISzo6NPT+dpXe39RVFNJPg7ckGEE86reiRBb7ZE9Uen+RxYYSoZwYsigS6oQUFPWq9P5ClavgKSC47S3ULIoUONXf3Z2jRlpdzhDaNRA1gi339avX9PSqbIhOD0oEWDhp4ogYSxoRvw6V3n+gqzjY1f5+1Uk76CtAiUx3y6G/WZDeLzlCRPwq7apdqjSObGlBVzBiLhf6gvfhjbUoUiB+pKDF3G71+zqd6rKVZIlK7w9dWOtV+ShdinFF+yE26iC4LXVo6P2d+cGm6jWLIg0DY1CYDccDgRARP1Cd/TzJEWRKVNjUST3ZpS6KTMo/oV5X2K/S+4PPI+WZpLWRSu+XczX2CVsUCVkAUZ5HvoHQcaZ5Jtk0C2uODnVxwKldFOnQ0Pvb1QWPAz2hi42NvlEoz5f2gHof2ueRlt5favWjMHAqHfp4KKlCliWT0n/KIKjQnyFKPwjH6r0/gt8nynhlAP7OTrpefgVrcRH5K1akp5O2fYCcObYECFu+ez/4B0QZrwzAe+AAnn37sOTm4l6yBCkdNPG2QV3STC1EgbBl3RrwecGWGV5V37bteGr3kDN3Ls6paRo3QVtmclzOFUr9ni4R8c8AvM0H6fjPkxRedRWOSZPS08lw2LJ0Nux/DXwesDmHPt8A+Lu6OP7w38g9cynuhQsz0qeJzMApDVCVG+qwDTe9X2/JPkiQ3h+vZJ9yw0nR+/WV7BP9mfT+yO3QbxFBXY9Tsi+8pcTo/cmU7IMh6f06c/phhNP745XsgxTo/bFz+iEFen+KJftgZND7/abDf4ogkyWmFJTOBr9HvDyPrUl7dz1vv03T5z4vVj0lifJf3k3h5Zcb31Em1bsVlM4Bv1f0reROpxF9O3bQ8OEbwCf+yJT96EcU3/Bh4ztqHSaHPzAALbth3Ny0d+dtaKDxE58g0NUFwJgvfZGSz3/e+I6Ci3oZXogCEZmeeEbau/PU1dF46yfwHT1K64N/YMxnPkPJl75ofEfKHM9E5QgFZbMh4IOWPRkZl70bNnDwa1/Hd+QIrQ88QOm3v82omzPIWjKRVjgkX0yaaBsMIeYXu2Sfsp2MmF/8nH7lLHWfXjG/Jt8gXT9KyT5lOxkxP7lISS8wVswvXsk+ZTsZMb+2ztyQ9I0gUhTzq3IeC6EuK0hVzE9y5wiqtcFifo4OhRqeZMk+iCrmVyzZBJU9gZJ9MLSYn7cgJ0i9j1eyDxIT87N192tSBWI7/ZCYmN8RBlMbhizZB4mI+fUXKakY0Ur2QbJifrLfL1JHDBbzO9RZEJLqoiJJMT8TSWFkLmOkgtZasDqhaGLm+izTCFGlGbLPx5H/vRN7WRmTHv0H7tNO49C3vk3v+vXGd9a6F5AyTEPXqHinGfLAAIe/932sxUVU/usxcs86i6M/+xn9e2qN76y1VtDVRlUZ33YslA06UxmwZaCnh6bbb0eyWpn0yN/Iv/ACWu9/AE9dnfGdtdYCEoyabHzbsZDBcRno7aXxYx9H9vmY+NCfyb/wQlrvv5/+3buN76x1rxiXmZzjpZoKEmmG7PNx6NvfQbLbmfiXh8g7+2yO/vSn9Kx7L+19mzBhNLS5+UZCqyVwMiCqs28Aojn7RkAO03cwCto8cCOhzVs3Eto8eyOh1QUwElodAyOh1V0wEvG0NFJBdGc/OyEDASRD/s82mBH+cLQOqndb0jPwo2LMdLDYhTMw57q0dtX+1FN49++n4re/wb1wIeMfuJ+6y6+g9YEHmbhokbGdteyB4klgT8/DNCpGTxULNke2wbwb0trV8b/9Dc+uXVT85l5y5s2j/Bd3UXf11Rz+/vepevxfxnbWWgvFlRmjMANiccHuzoiTeuKxx/Du28/Eh/6Me9EiHFVV9Ky7nCP/82Mm/vUvxqZJtNaKBb1MjsuCCsgpzogtO597Dl9LCxMffpjcJYtxzZpFz9tv0/Lre5jw4APGdtZaC0WZnuOTRanPDAj3db74IgNNTYz/3X3kLl1KzoIF7Dv/Atr+9CdylyxOe/8m0g+H5I+bHxqf3h8ZizeC3h+/ZB9kG70/fsk+yDZ6f1xqP2QdvT9uyT5Igd4fzUap0/uTKdkHw0fvj1+yL7zvROj9sUv2QfL0fr0l+yAxen+8kn3KZ3bQ+9MJyaT0nzJorVXpt5mCzSHKAKY5YiUPDND62/vImT+f/AsuAMCal0fRhz9E629+i7ehAUdlpXEdZlIJXYHVBmNnpN2xkmWZ4//4B7lnLqXgoosAsI0ezZhPfZqjd95J/55aXNMN/O5t+zJLmwax6FU6KyO27Pjvf8mZP5/cM88EwDZmDCVf/hJHf/JT+jZtMjZvunVv5spuKpCkjIkgnvjnYzinTsG9WCzgWQsLGX3bbbT8+tf0btxosC0zqNCvwGIVc/xo+sdl2x//hGPyZPKWLxddu1yMuuUWWu65h/7du3HVpD8Fy0R6YZMGVaCHCFJHp/fHzulX9qLZziZ6f3jJPjCG3h9Zsk+5x8Tp/fGcfoi0r156v/6cfkiM3q/P6YfE6P3xSvaBMfT+UBulRu+PX7IPkqf3x3b6IXl6fzI5/ZAYvT+8ZB8kT++PX7Iv/F4ToPfHKdkX3kMi9P6ODkdIxYroSITebyIZmObTwueBEw2Zf4GFQRXv9Dr8ve+/j+/YMUbd9omQiGnRddeBzcaJxwyMSgcCotb5cNiybI5YPJHloc9NEv3btuE7dJiCD1wZsr/gA1eA3U7Hf/9rXGeBgHD4M5lzrqBsjnCs0mhLz65dePbuo/CqUFsWXnU1ktNJ56rnjOss4B+ehSgQVPRjO4U4Z5rQt20b/Tt2UHTDDSFzfNQtN2MpKKD98X8b11nAP4zjcvB5mcZx2btuHZ7duxl9221IFvVPZfGNN2Bxu2n780Np69uECRMmTJgYCRja2c8eyEBAlgz5P9tgRvi1OF4Psn+YnNTZsPUx6GmF3DFDn58EulavRnI4yDvrrJD99rFjyb/gAtqfeoqSr3wZi8sAem5HE/j6h8/h3/QIdB2BgnFp6aLzhRfBbid/xfKQ/bbiYvLPO5eOZ55h7Ne+imQzYIq1HxheW77/kPg906Rr0fH0SrDbKbj00pD91rxc8s49l84XX6T0u98xJr+s/YAQyMx0hB+ELX39aRXnbH/830huN4VXXRWy3+J2k3feuXSvXo3s8xkzLpU5Phy2LJ0NG/8GXYehoDwtXXS9+hqSy0XB5ZeF7LcWFlJw5QfoeHolAY8HizODaTYmDIcVKaT8U7xIfyS9P1r81KT3K/2nTO8PE/EDY+j94SJ+cZEQvT9UxC8eEqH3R4vhhnRHsvT+8Ch/6JkmvT+yj5FM7w8X8QsiRXp/uIhffOig96cZ/hEaCzcdfi2GQ6FfQalG1Gvy8vjnJgFZlulevQb30jOwuN0Rx4uu+SBdL7xA7/r15J19duodDodCvwIlJePItrQ4/LIs0/Xii+QuPQNrYWHE8cKrr6br5VfoXruW/OUG/JaKLYfFSdUI96XB4Zf9fjpWrSL/vPOwFhVFHC+47DK6XnqJ3vXryT3DAHX7oEL/MI7Lo9vT4vDLskz32rXknX021ry8iOP5F1xA58pn6H1/A7lnLEm9w5bhnOOD4/Lw1rQ5/D1vvol70aKoDn3+8uW0P/Yvet97z5jnpYlhgwWJfIudRMo/KfR+vSX7lL1otpMt2QcmvT91en9oTj+cmvT++CX7xJlJ0fvjleyDFOj9+px+SIzeH8tGpxq9P5qNjKH3J5PTH9qhlt5vIjmY1tMiWGIqg4rTCoJO6ta0NO/dv5+BpqaYDqh70SIkh4OeN98ypsPhdPiVcnxpyvHt376DgYMHKbj4kqjH8845B0teHt2r1xjTYcse8Tkcthw7U6iwpyn33FNbi7+1lfwLL4h6PO/cc5DcbuNo/cNpyzHTwOpI2xwfOHAA35Ej5C6NvjCSt2wZktNJ1yuvGNPhsC/qSXB4c1qaHzh4EG99PXnLzop63L1kCZLLRfea19PSvwkTJkyYMGEis5Axhs5vUvqzHa17oWA8OCOjY2lH7hjR9+EtaWm+a/VqAPLOOy/qcUtODu7TT6P7rTcpNaLD1lrIGQW5o41oLTG4CkU0Ok1Oas/bbwOQtyL64olkt+NetIiede8a02HrHsgdC+5RxrSXCBxusQCWJlv2rn8fAPfpp0c9bsnJIe/cc+heswZZllNX62/dA7klw2NLRZwzXePy3XWAcEajweJ2k7tsGV2vvkrpHd81wJa14B4zPLZ05omFhkPpcfi7Bxc+c5cti3rc4nKRe8YZdL/+OvL37jC2ioSJjCNmvech6P2RIn5gBL0/noifcq1J70+F3h8q4gfG0Psjo/yQzfT++CJ+ob0kRu8PFfEDY+g2t7Y0AAAgAElEQVT9kSJ+4dvJ0fuHSoEw6f3ZRe9PNwIjNBY+Ihx+eZDuZcnJSa2h1trhofMrKJ8PhzalpemeN9/COWMG9rKymOfknrWMY3ffzcCRI3HP04WW2uGhoCsomyvovmlA36ZNOKqqsBUXxzwnd+kZdK9ezcChQ9jLU6QcD7st50Dz+rQ03bthA/by8rg2yl2yhK7nX2CgsRHHpEmpddgyDKryWpTNhb0vp6XpnnXvYistjVtpI//88+l+9VU8tbW4pqc4poZDoV+L8vlQ/0Zamu55801s48bhqK6OeU7eeefSvWYN3ro6nJMnp+U+TKQfiuxj9PJP8en98Uv2KY1lD71ft9MPWUHvj7qMZgi9P5pDmzq9P9WSfeI+Mkfvj8zph2ym9yeT0w866P06UiCSoffHd/oh2+j9Q6VAJE/vj2aj5On9JpLDSb+M4WttZc+ixbQ/9VRqDcny8Kl3KyhfAMfroE/fn2W9kP1++rdtw71gQdzzlGhWz1tvp97psC+eLIDj+423pSzTt3kzOUPY0r1E0KqVqGsKHYqo9HCOy9LZ0N6YFlv2vv8+OaefFvc89yJRXq53fYqLDrI8/E5q2RzoOQZdQ78KJAJZluld9x65ZyyJG212Lxa143s3bEi90+Ge4+PmCdE+o23p99Pz7rvkLTsrri3zzjkHgO41awzt34QJEyZMmDCRecgy+GXJkP+zDSd9hN86ejTWggL6Nm+Gm25KvqGuI+DtGn4nFQStv/pcw5r11tUR6O3FNXdO3POc06ZiKymh5603Kbr2muQ77D0Ova3D61hVDNYaP7TJUBFEb0MD/vZ2chbMj3uec+oUrKNG0bvuXYqu+WDyHXYfhf6O4Y3wj5snPg9vhurzDGvW29CAv60tJp1fgaO6Wthy/XpRQjJZ9LRAf/vw2lIrzplvSPIMAJ69e/EfPx5caIoFe0U5ttJS+jZsTO152dMGvW3DPC4H5+DhLZB/kWHNeuvrCXR1kXNa/IUoe3k5Y26/nZwFCw3r20TmERj8L3q95+Gh90dE+cEQer9+ET9IjN6vL8oPidH744n4QSr0/mjJA6nT++OL+EHy9P7YUX5Int4fbZRmM70/UsRPe3/h2wnQ+8NE/MJbSpber1vED7KC3q8nBSJb6P3pRDbm3xuBk97hlySJnPnz6NucYu77cApQKVAc/kObDHX4+7aKnOGcufPinidJEu4zzqB3XYpR6aAth9EZCNpyo6EOf98mkTM8FFtCslhwL1lMz7vrUss9H06ROQXK4snBDYY6/L3vx8/fVyBJEu7TT6cn1Qh/NtiyTHH4t8DU6EKFyaBv40YA3IuGtmXOwgX0btqYWodtw1jtQMG4uQSF+6YZ5/D3bd8OQM7s2UOeW3L7Fwzr18TwwC/LdAc80cs/jTh6fxI5/TA0vV9nTj8kRu+Pm9MP2UfvD8vpB5PeryJ76f16S/Ypn8bn9ENi9H59Tj8kRu+Pl9MP2UTvN5EMTnpKP0DO/PkMNDbiaxtyTTY2ssHhd4+CokmG5/H3bd2KJT8fR+XQ+c85c+fiO3aMgaMp0GSHs7yhgpxiGFUNB1N0bMLQt3kzloKCuLm9CnKXnIHv6FEGGhuT7zBYki89ddt1IadYCPc1G0AD16Bvw0aso0bhqKoa8lz3okX4Dh1m4ODB5DvMhjmeUwyjJhs+Lvt37sJSWIh9/Pghz3UvPE3Y8vDh5DsMLp4M4xx35otxabBwX/+OnUhut65xacKECRMmTJgYGRAq/RZD/s82nPQRfhAOP0Dfli3kr1iRXCOte8GRD/kpitWlivIFxjv827aSM2c2kmXoAZgzSPvv27IF+0VJRs1aa8HqTEvd9oRQvhAOGKBHoEHfpk3kzJunz5bzBaOib9v25MXmWvaAs2D4x2XF6VC3WiQ4GaRI3r9jB645s3WxH9yLRR5/z/r1FFVUJNdhay3Yc6FwaKc4rRh/OtStMdaWu3bhqqnRZcuchYKd0rtxI4WXX55ch621YHNB4XDP8QVCuM9IW27fjmvGDCRrpJiYiZGHASy0B3zBf2vrPQ8XvT9ulB+yj96fhIgfDB+9PzLKrxxJld4fKuInNo2g9+uL8kNi9P5YEexTjd4fLYJtDL0/VMRPe9/RoZPer1PEDxKj94eL+EFkpD876P0Nus5KFv7ofKKTHiPC4XfNmgU2G32bNqfg8A8KUA13eaXyBbDzvyIP3oByV4H+fjx7asn71Cd1ne+sqQG7nf5t2yhI2uHfKyJvlmF+Ya5YCNufEPoMBjjM/u4ePPv2kX/xxbrOd06ejOR00r99O4VXJOtYDQr2Dfe4rDgNtj4GnQcNcZgDXi+e+nrylutLt3BOnYolL4/+rVvh6quT67RlT3bM8fGLYOu/oKPJkEUx2efDU1tL8Y036jrfNX06Frebvg2pOPx7YfRU0LHwlVZMWAzbHjfUlv27d1N0fQpaESZOKnhlG0f9LqKVfxouen94Tj8YRe+Xwv5tDL0/mZJ9MHz0/sicfqWHVOn9sUv2QfL0fr0l+5RvoZfeP5RDa9L7TzV6v76SfZAYvV+v0w+J0PvTA5mRm8OffZyDJGBxuXDNmCGE+5LFcCv0KxgvIpk0vWdIc/07d4HfT87cubrOtziduGpq6NuSQkm7lj1QkgW2rBgU3TKIPu3dtxdkGdcMffR6yW4X43J7CnXXW/YMrzCagqAtjaH1e/fvB58PV42+7yZZLMKWO3Yk32nWzPHBPHuDSh166uqQPR5cM2foOl+y2ciZP4/ezSkwiVr3DC+dX4HBz0tPXR1yX5+u/H0TJkyYMGHChImTASMiwg+C1t/+xBPIPh+SLcGv5emGzubseIGtWAgWOzS9C9MvSbm5/kEHyTVL/wtszpw5dPz3v8h+f+K01oF+aD8Ac65P7Lp0oGwuWGzCsaq5LOXm+mtFDrhzmn6n0TV7Nu3/+U9ytuxrFyr92eCkls0GqwOa34eZV6XcXP9ukQPurNGvTeCaOZMTjz2W2hzPhoWo0tmCDt/8Psy+NuXmPLt2AeCaoc/hB/E8aPvrX5G9XiRHnFBlNAz0w4kDMPeGxK5LB0png90tHP45qUfl+3fsBAZZYyZOCXhkG42+UUSr9zwkvX+IqZN99P5wET+xL1V6f4SIHxhE74/8m5nV9P5wEb/BplKl9ycj4gc66P06ItjJ0Pt1R/khK+j9Q0Wwk6f3R4tgp07vj4zyQzbT++OL+CmtqduJ0fuNhpSV+fdGYOQ4/HPncuKRR/Ds349reoIR0bZ94jMbHCt7DpTPh8Z3DWnOs28flsJCbIU54POAzTnkNTnz5nLi0UeFLRNwbgGh3i0HYOwwiswpcLhF6a7GdwxpzlO7F8ntxl5eDgG/rpQF1+xZyH//O976epxTpiTWYTYI9imwOUUNeYMi/J7du5GcThzjSnRf45o9C9njwbO/Dtf0BMdlNlSOUGC1i9QdgyL8/bsGbVmSpzuX3TVzBgwM4Nm3D9fMmYl1eHw/IGfH4onVJtgnTSlWFhlE//btWNxuYUv/gPitTIxoeAI26j1jNXtCyz/Fp/fry+kXZ+un90dzVbKZ3h+/ZJ/m/DiITu+PndMv+kuO3h/NvqcivT9eyT7lmmTo/fpz+iExen9spx+Sp/frcWizid6fask+iEXvD3X6wRh6fzI5/TB89P7ACM3hHzHLGArN2rN7d+IXZ4OqvBYTzxA0dJ8n5aY82zfgzO1Bumsi/Ho27F415DWuOYL+3781CVr/MRFtpER/tDGtmLRUOKkDqdfv9GzfiDOvD+kno+Hnk2Dn00NekzNnUARx2/bEO1SU0LPBsQKYuFREpQ2wZf+2jTgLfUh3jYdfToeNfxvyGsUx7d+5M/EOg4snWeDwg6D1H95iyBzv37wOZ3EA6Z4a+O1CWPeHIa9R2AD9g+yAhJAN1Q60mLAYjmwDb0/KTXm2vIez2I/0q2nClhseFosoJkYsvAH1FVTr+Iu8foHuQOx5WmpVX3ArHaqLU5WrOiejC9Sx6S9Uz/cWqO14CkNfxwJ5av/kqNuSI/oiVIiD69Hcb29fyHn2DtX5dXaoY9vRoZ7jb1edleauwuB2XZ+6QNvkC9UY6g2oTptF82pZqHFKJthUp7Y6R7XV+Hy1c2tR6OJFiI0KVJfKl69xOt05wU3Jqe6Px6oL9Gns0qNu2ztV2zk71GUWh8bzsHao7bZ15oa029A/Jrh90K/ariswQDRoHf9Sq/q3tcp5LOS88gL1BqRC1UYDahchY2ggX7W7nKsZPxpbQZiNZPX7ytpFpD71vixdqn0cneqYc3SEPict7eq8aukMuu409I0ObjcNqNstGj/RI6u2UpxbBWXBvP5QG1Xmq2PLXaD+nt4i9Ttpx5K3IHRsyJr5Jmnmm8Ue3UUNLgYAssY+Unfo+1GIjTRjyNGu/la9nepv0tClzivt8+iIzx3S7oCs9q91/Es0X2uCXV2WqsxRt0sKutXvUaS2A+AtVJ1drY0C2vkW8jzSLGxI6ncKcfwBWfMcknpUG9m7tM8j9beya55Hcofax6FOzY9oIiGMmAi/o7ISyeGgf9duCq9KkHJ8bJegfo+anJ6bSxQTzoC3fyvKTU1cknQzct3rePbWUjDFDmd/HWqfh8dugkvugjM+G/M6R+UkLG53kHadEBRbjk4wmp0uTDpL2PLgBqg8K+lm5D0v4tm1nbwqK5zzddi/Gh7/qA5bVgpbbt8OH0xQbK51z2C1gyQV/o1G5TJ45z44+L7YThJy7Ut4dmwhb5IE535LqKyv/CJIVljwkZjXOSorkdxukaaSsC1rRfvFWVJqbfziwXG5USxKJQm5fi39O3dQUC3BOd+EhrXw/DdEybr5sUX87BMninG5cxckmlXQUgtI2TPHJywB2S+qm6QwLml6D8/ePeRXWYUt978Gz3wJ/F5Y/Cnj7tdE1qGuT3XStPR+rXp/gEAUer94Wa2wqvT+Spfq6E/IV+Pl9iKPSu8vlFHiXp5CNbI2UCBeyYKv77mqI2DJyQlG+SWbPSq9X+ukyb19anS2qz/kZc/Z6UeJR2qdEFuHht7foTqyDT2qY9bgVW3V4reHiPhpbaSl95do6P2VDtU+lbmqE1JU2KPS+wvV+wPFRoO0+kLVuQnku9Too9bpdziish4UmwXdCq0j290ftLu904fyeiwWRYQlHR0aen+7Su9v6ioK6afBWxIcD0f9VpRx0id7otL7iyw2lHDoxJBFkdCIdkFRr0rvL1S5Cp4CgtveQs2iSIFT/d3dOWqk1eUMoV0DUSPYcl+/ek1Pr8qG6PSgRICFkyaOiLGkEfHrUOn9B7qKg13t71cd2YO+ApTIdLcc+psF6f2SI0TEr9Ku2qVK48iWFnQFI+ZyoS94H95YiyIF4kcKWsztVr+v06kuW0mWqPT+0IW1XpWP0qUYV7QfYqMOgttSh4be35kfbKpesyjSMDAGhdlwPBAIEfED1dnPkxxBpkSFTZ3Uk13qosik/BPqdYX9Kr0/+DxSnklaG6n0fjlXY5+wRZGQBRDleeQbCB1nmmeSTbOw5uhQFwec2kWRDg29vz10wSNdkGXwj1DRvhHj8Es2G85p0+jfk0SE/9guoThtSzCXNV2YeIb4bHwneYf/eD2+P99IwFuI87LbYcVn4dxvwmMfgVd+BNMuhlHRnR/JYsE5bRqePUk4/C27hSOQVbaURHm+ZB3+joP4//Fp/B43rstvhxWfFwso//44vHQHTDk/JjtEslpxzZolHP5E0TJYOWK4qx0omLgUkKDhzeQdq87D+P7xGfweF64rvwzLPwvLvgqP3QgrbxdaAePmRb1Uslpx1dQkF+Fv2QOjqrNnXFYuAySofz15h7/jIL6HbyXgteO8+uuw4jZBQ3/kg8JRLZmmii2GQbJYcNbU0J8UI2oPFE0Q6UfZAEW4r/Gd5MfliQZ8D30Yv8eF49LPw4rb4bzvwKPXw0vfEwuHpQmmPpg4KTDgt3KgJ1ZFnCHo/eE5/ZDV9H69JfsgQXp/vJJ9yg0nRe/XV7JP9GfS+yO3Q79FBHU9Tsm+8JYSo/eH5vSDQfR+nTn9MMLp/fFK9kEK9P7YOf2QAr0/xZJ9kFl6fyZz+CVJugS4FzFk/iTL8s/Djk8CHgJKEA+Gm2VZbh489jHge4On/lSW5Yfj9TViHH4AZ810ul99DVmWddWjDuLYzpgvxsOC3DFiAaLxHeAriV8vy7Dqq3g7BmVWZs8X+612uOLX8Lsl8OxX4Jb/xsz3dU6fTucLLyRny3HzE7/ndCGnGEpnwYG3gG8kfr0sw8ov0t8mHmDO2aKGOXYXXPkb+M1CePEO+MjjMZtw1tTQ/uSTyIEAUiJlzFp2Z9e4zCmCcXOFw58MZBme+jSeFvGH0zl3odhvd8H1f4V758GrP4abn4zZhGvmTGHLREUQW2uzh84PouTmuLlQ9zqc9+3k2nj6C3jbvIAdZ82gyJzVDh/6G/x+Kbz0fbj1uZiXu2bMoOOppxIfl8d2wdgscn7do6B0jrDlOUnO8ee+gff44ByfMVjRxGKBq++H+8+Epz8Pn1qtSx/BxMkFv98yBE00tphfMiX7QI+YX+ySfcp2MmJ+lt4+cOcYLubX5Buk60cp2adsJyPmJxcp6QXGivnFK9mnbCcj5tfWmRuSvhFEimJ+Vc5jYToTAqmK+UnuHEG1NljMz9GhUMOTLNkHUcX8iiWboLInULIPhhbz8xbkBKn38Ur2QWJifrbufk2qQGynHxIT8zvCYGrDkCX7IBExv/4iJRUjfHlHQXJifsH3NYPE/EYKJEmyAr8DLgSagfWSJK2UZVkb1fol8DdZlh+WJGkF8DPgFkmSRgE/BE5HVBPcMHjtCWJgxOTwA7im1+A/cQLfMX2PFQA8XUJVPtuiN5XLoOEt8EWu1g+JbU/A/tfwlF4KECoWV1gB5/8A6taI6GIMOKdPI9DRge/o0GuOQXh7hXp3NjkDAJPOFCreft/Q54Zj279h/6t4SkW98hCF/ryxgjWx90XY90rMJpxTpyD39jJw8KD+fgf6oL0xu5xUgMqzhS2TyePftRLq38BTdgUAzqkaVoSrEJb9P2HHhrdiNuGaNQu5rw/vgQP6+/UPwPG67NHoUFB1rhDuSyb3fP9rULcaT5moPuGoqlaPuUfBsq+IRa54tpw5g0BvLwONjfr79XnF4km2zfEpK4TQqad76HPDsed52PsSntJBW1ZrUrvyxsKK74t0gTjPSxMmTgq408PK0ebmGwmtlsDJgKjOvgGI5uwbATlM38EoaPPAjYQ2b91IaPPsjYRWF8BIaHUMjIRWd8FIJFyhahghIxGQjflfBxYD+2RZrpNl2Qs8BoTnpM8EXh3cXq05fjHwsizLxwed/JeBuKXdRlSEXxXu24W9VOcDUhFGy7YX2KkXwYa/iPJ8Vefov26gH175IZQvwNNUgrWoCOvo0aHnLPwovP5zIe5VfV7UZpRKB549e7CXlenru3UPIGeHQr8WlcvgvT9A83vC+dcLnxde+ymUzcFzYBTW0aOxhdtyyWfh3fvhnd/BlAuiNqNUOvDs3YtjwgR9fbfuRSihZ6HD/859wlGtOlv/dX4fvPoTKKnBe0SMS1txceg5iz8tbLn6Trg1urikc5pw2j21e3FWV0c9JwKttRDwwdgsK7VWfR68/Rs48A5MjT52oiIQEGk5RRPxdpZjyc3FNjas2sHCj8Ha/4M37o6ZyqKUROzftQtHZaW+vtv2CluWZpktJ6+At+4V7JNEypn6PPDCt6FkBp4TFUg5OdjLx4WeM/fD4jnw9m9jPi9NnMTwSTrzQyPp/XFL9kEK9P5IfX0j6P3REwe0yC56f/ySfZBt9P641H7IOnp/NOV+MILeH81GqdP7kynZB8NH748+So2g98cu2QfJ0/v1luyDxOj98Ur2KZ+J0PvTDQNV+sdIkvS+5t9/kGVZq6pcATRp/t0MhOdxb0EoLd0LfBDIlyRpdIxrK+LdzIhy+J2DTmr/7j3knXuuvouODTInxmaJqryCqnNE3fO9LyXm8G/4C3QehKvvx3PHgzinTImk5NtdcNrH4c1fi4h8caQonBLJ7t9Tm4AtB/OBs0WhX0H1crDYRSQvEYd/0yOC/XHTv/F+/6HoDqbNAad9DNb8DI7XR9VFcExRnNRa8les0Ne3shCVDWXktJi0VIjf1a1OzOHf/A/hLH74H3h/9u/oDqY9RyygvPJDseARJSLvrK4GScKzbx9igVMHju4Qn9nmpE5cKuZ4/ZrEHP6dTwmF/w8+iPfel3FUV0fOcYcbzvwivPwDoWBfNieiGefUqWCz0b97DwWXXqqv76PK8zLLFkgnnAG2HMF8SMTh3/CwmOM3/wfvz/6Js6oqMr3B7oIln4HXfiK+f7axwUykBMkvVKD15YeG0vvjl+yD5On9sXP6g11otpOi9w9uG03vDy/ZB8bQ+yNL9in3mDi9P57TD5H21Uvv15/TD4nR+/U5/ZAYvT+aQ2s0vT/URqnR++OX7IPk6f2xnX5Int6fTE4/JEbvDy/ZB8nT++OX7Au/1+To/UGkRO8/adAqy/LpcY5HW1kILwv0deA+SZI+DrwBHAR8Oq8NwUlpwViw5udjr6jAk4hw37Fd4kWxqDJt95UUnHnCOd37sv5rvD0iqld1DnLVOXj27cMxNYaS9um3ARKs/1PUw9b8fOzl5YmVOTy2Uzgwo3RGXjMFV4FwTvc8r/+agT4RHZ2wBKZeiPfAARxV0UUOWXCLUHHdGF0vw5qXi338eDy1tfr7P7pd2DJblNAVuApFxHjXM/qvGeiDNT8X4mo1l+Otr49ty3k3igWFTX+PetiSk4N94gQ8e/fq7//INmHLbKP0O9xCrX/fa/qv8Q+IaPPYWTDnejz19Tir44xLix22PBb1sMXhwDFp0uDiiU4c3S7azDZb2l1iXO5PwJbeXlj7SyHIN3kFnro6HJNjVGo5/RPi78T7fzbmfk2YMGHChIlTAXJg6HOyBDJkktLfDGhpv+OBQyH3I8uHZFm+RpblBcAdg/s69FwbjhEV4QdBU+3fk4BjdWynoKAnIlqVKUy9CF78bswofATWPQg9LbDiUfytrQS6unBWx3iBLayAmstgyz/h/B+CNXIoOKdPp782AaV+pdpBlLaGHdMvg+e+HjNyHIH1f4Kuw3Dtn/B3dOBvb49Ney6sgGmXCCf1vO9GVYJ3Tp1KfyIO/5Ftgs6fLaryWsy4Utjy2G596Rvv/QG6DsG1f8Tf04OvpSW2w59fKipIbPmnyJ2ONi6nTk3M4T+6Q9jSGr1+9bBixhWCUt5SK1T1h8LGh4UewU2PE+jrx3f4cGj+vhbuUcKWWx+HC/4nui0nT06sssmxndlry8krxPMyBtMmAuv/BN1H4fq/4u/pxXf4MM5YDr97FEy/FHY8BZf8PDu/v4mkIPnDyj/puird9P5o8VOT3q/0nzK9P0zED4yh94eL+MVFQvT+UBG/eEiE3h8thhvSHcnS+8Oj/KFnmvT+yD5GMr1fb5Rf+RzuKH8GVfrXA1MlSapCRO5vAG7SniBJ0hjguCzLAeA7CMV+gBeBOyVJUnJjLxo8HhNZ6JmlBufkyXS//jrywACSPfTx3NE3gCRBvtOmUmCP7oSpFw7DneqA4vDXviAopfHQ1y5yWKdeDBMW492wAQBHZZyFgjkfEpHaA29GzU11Tp9G9xtvEPB4sDidIcd6PD76B/yMynWotjyyVbx0ZyOmXSKc1D3PD+3w93fC2l+JVIDKZXi3bAGGsOXCj8Ke54QY4rSLIg47pw3a0uvF4gh98/P6Apzo9TI236mx5bbsHZc1Vwhb7lo5tMPf1y5sOeVCYcvtgl4f15YLbha23PeycLLC4Jw6le7Va6LacsAvbDk614nVoszxHTB5eUJfMWOYeTW88B3Y8R+GVOv3dMOau2DimTD1IjyD5QkdsSL8IBgTu58VKRhRxpNzyhS6Xn6ZQH8/FleowFCv18eAT8bttGK3Dv4BPLozsbSYTKLmCvG83PZvIaYZD/2dIqVp8vkw6Uy827YB4Jgch50090Pid9q/OuocN3FyQgqAXVMbW3/5pyFK9gWbTJzer7dkn3rX6nayJfvApPenTu8PzemHU5PeH79knzgzKXp/vJJ9kAK9X5/TD4nR+2PZ6FSj90ezUWr0/pEBWZZ9kiTdjnDercBDsizvkCTpx8D7siyvBM4DfiZJkoyg9H9h8NrjkiT9BLFoAPBjWZbjPhxGnD2dUyaDz4e3sTEYrXm9toU/vLGft/e3IcuQ77Jxw6IJfGphPmN7jmVfPqqC0VNE7u2mR4SgWbySUO/+HvrbYcUdAHgbDgDgmBTHsZp6ITjyYPuT0R3+qVPB78dbX49rUODr3bo2fvVyLRsPnMAXkCl227lqfgW3L85nTPdRKJub7LdNL4omCFvuWglnfSn+ue/eD33H4fzvA+BtaACIL2w2+XxwFooIYFSHf9CWdXVBW244cIL/XbWTrc0d+AIyJflOLppZylfPLGR0z7GoeddZgYJxItVh18qhHau37hXj8vwfAOCtrwfAGSvCD2KhK2cUbP9PdId/yhR1XA7qdmw4cJy7nt/Dew3ieTcmz8HFs8r4ypnFlHQfgdLZSXzRDKBgnBCV3PYEnPutIeb4/dBzDG74B0gS3rpBW8YTL5x6kShNufnR6A7/1Ckgy8KWM4T2xtv7W7l/zX7W7hUvTIU5dj64oIJPLx5NeWdz9uawF08SopJb/inK88Wz5boHxBxXnpf1Omw5+Xxhy22Pmw6/CRMmTJgwMdKgn45vTHey/BzwXNi+H2i2nwCeiHHtQ6gR/yEx4hx+JQfTs28/jupq7n99P3e/uIeKohy+cN4Uitx2Nje189BbDTSt38YDAOPmDes9x4QkCXG9VV8TZaEqFkY/r/sYvPN7mHlV8Lt4GxvBZsNeXh67fXsO1DX6VTsAACAASURBVFwOO1fCZf8XQR9XFky89fU4p0/nN6/u455XaxlfnMOnzqlmTJ6Trc3tPPLuAQ6/v4UHLYja4tmKuTfAS3fAoc1QPj/6OV1HhZNacwVUnAYgSsBZLDjGj4/dts0hUiT2rBLq/mG21Cr1u2pquOeVWu59dS/jClx8etCWm5va+df6Jlq3PMeDkL1OKgha/0t3DNZkjyHS2HlYOKlzrg+OC299PUgS9ngLUVa7SMHY9UxUWyrl/Dy1e3FNn879a/Zz1wu7Kcl3cvvyKYzOc7DhwAn+vaGZY1te4o+QfYJ9Wsy+Fp79imB1xJo/PW3quJywGABvfR1YrdgnTozdts0Bsz4o8vgH+sSc10Ap2enZtw/XjBn8+c16fvLsTsYO2rI418HmpnYeXddI/caXeRiyr9qBFvNuhKc/L0pHTgwXux1E73GhuD/9cs0cbxTjMl4VDZtDMDK2/kvopThy0/AFTGQaFj84Q4JdidD7Q0X8wBh6f6SIHxhB748n4qdca9L7U6H3h4r4gTH0/sgoP2QzvT++iF9oL4nR+0NF/MAYen+kiF/4dnL0/qFSIEx6fyr0/vRAxlCV/qzCiHP4gyre+/fxt9VV/PKlWj4wr5y7r5uLy65Or4bWHt7483PQBw83FPAxHSmfw4I518NL3xfq+7Ec/ld+BL5+WBFcFBIicxUVSLYhfuJZ14gX2LrVIt9XA8ekScKWdXU8/mY9v36llmsWVPCTq2eT61Tb/fL5U3nrL89DL/xlfx63Vib3VdOOhbcINf11D8AHH4h+zuqfgt8LF/44uMvb0IC9ogLJMQQfc+bVIroYhdbvqKwEmw3P3n089GY997yyl2sWVPDjq2eTp7Hll86fwtsPvwQ98Ne6PD6ereNy3o2w+n+FExrLlq/fBYEBWH5HcJdiy3AqfgRmXAGb/w4Na2HK+SGHnEFb7uVPa+u464XdXDmvnJ9fOwe3Q9jy1rOq2N/SzRsPvwbd8Eh9PrfESM8edsy8Cp77Brz/EHzgnujnvPELGOgJMiUAPHX12MfrseUHRNv7V4tFKQ0ckyYFx+UDr+/n58/v5pJZZdxzw/yQ5+WBth5e+ssaYcuGfG7RITcwLJg5qC+x5dHYDv/qO8HTBcu/G9zlbWzEPm7c0Lacfa14Fu97RfxuJk56SD4ZZ0d0t2646P3xS/YpjWUPvV+30w9ZQe+P+jpvCL0/mkObOr0/1ZJ94j4yR++PzOmHbKb3J5PTDzro/TpSIJKh98d3+iHb6P1DpUCY9P7MIAuV6lKDJScHe0UFhzbv5Fcv13LV/HJ+E/byClA5JpePTDzBMXsFP3yxmYferB+mOx4CrkKYfQ1se1JE+cLR/L4oebb08zBGVXT3HjiAPV6etILJKwQVfdfKiEOWnBzs5eU0b9nNnc/t4tLZZfzy+nkhzj5AdUkeN01sp8Vezv+8fDC7bTn/JkGf7oryyDy0GTY+IvQSRqveobfhgL465ZOXg7MAdv434pBkt+OYMIGD23bzk1U7uXhWKXdfPy/E2QeYMjafj1R20mYr5UcvH+JPa+sS/ZaZQe5owT7Z+rgQlQxH8/uw8W9w2q0hAmqehjgK/VpULwd7rsg/D4PkcOConMSRLTv56apdXD5nHL/60Lygs69gckkeH63uosM6iu+/cpT71+xP9FtmBu5RwpabHoG2KPfYtF4IH552qxDMG4S38UD8lB0FlWeLsR/LlpMmcXTrTn7xwm4unzuO+25aEPG8nDQ6l9uq24UtX2vjd6sTUPbPJJz54nm5+Z9CvC8cBzcIsb7Fn4IylUHjbTyAfVIcpoSCiUsFrX/3c0Ofa8KECRMmTJg4qZBBlf6MYkQumlgqqzmydRfVH7qeOz84J7JG9SCsR7YyZupiLvGU8eNnd1Ja4OLyueMyfLc6cMYXBCX3+W/AdZp0jb52+O/nIK9M5KwOQpZlBg4cwH16vPKPg7A5RG7vnhcg4AdL6Iu+tbKSI9t3M+1D1/N/H5qHxRLDlke3MXry6VwyIGw5Os/BVfMrkvq6acWSz8J7f4TXfgxX/U7d398BT9wK+WVwzteDu2VZxtvQQOHCGOwKLWxOkXO+5znw+yJU0a2VlbRt2sWUOXnce8MCVVQuDNaj2xlVvZDL5DJ+umoXJfnO7LTl0tuFLdf+H1z5G3W/pxv+8ykoKIcV3wvuFrbUOS7tLlGbfvcqkW4SVkXDVj2ZE+9spHK2m19ePw+bNfrapfXwZgqqTuMD1nLuemE35UWu7LTlOV8XVR5W3wnXaUq/DfTD01+A/HK44EfB3bIsM9DYhHuBjnFptcO0OOOyqprj6zZRMTOHn18zJ6YtLYc2UVC9iKutFcE0qasXZKEtl98B25+CF++AGx9V93t74ZkvQ15pyLgEGGhsIv9CHSKZVpvGlgOmWv8IgBSQcXRoIkwRdNqRQ++PiPKDIfR+/SJ+kBi9X1+UHxKj98cT8YNU6P3RkgdSp/fHF/GD5On9saP8kDy9P9oozWZ6f6SIn/b+wrcToPeHifiFt5QsvV+3iB9kBb1fTwpEttD7lbJ8IxEj0uHfaiumqvMY91w3JyIaHUTvcehoxLLoNu49Yz43/XEdX/v3ZiaNdjO7ojCzNzwUSmcKQa/V/ytym+dcBz4P/PtjIop1y1MisjUIf2srgd5efdE/EDTf7U+IvNdJS0MObbcWM77jPX529ayICGoQ/R1woh7Lgo9w75nzueXP7/GtJ7cyuSQv+2w5ejKc/VXhpE5YItT1PV3wn8+ISPWtz4kI3iB8LS3Clnoi/CA0Ebb+CxrfgaqzQw5tppDqzhbuvGpGRAQ1CG8vtO1FmnkVvzp7Pm3d7/GNJ7LUloUVsOiTsO5+kXu+6JNC/fypz4hx+fFnIacoeLq/tRW5txfHRJ3jcsaVsPNpaF4fQc/eEChgWlcbv7hyBjmOGLb0dEHLbqRZV/PLZXM52tnPN/69lUmjc5k/oSj6NcOF/DI447NCOb5yGZx+q1g4efyj0LoHbn4SXAXB0/3t7QS6u7FPiKMrocWMK2DrY3DgLag+N+TQJksx07rauOeqGvJdMRxYTxe01iLNvpZfLJvH4Y5+vvnEViaOdrNwYnH0a4YLBeViAeXV/xFihfNvEgsnj90kKjbc8KhgPAzC39mJ/8QJHHoi/DBYzvRROPB2hC1NnHyQ/DL2roGwvSa9PzF6fxI5/TA0vV9nTj8kRu+Pm9MP2UfvD8vpB5PeryJ76f16S/Ypn8bn9ENi9H59Tj8kRu+Pl9MPidP7TSSHEUfpb2jt4fkuF46Aj2lyV+wTD28Wn+Xzcdqs3H/zQordDj779w109of/8c8CLPt/UL4AnrwNHv4A/Hq2yBX/wL0RjqW3sRFA/wvslAvBYheCcxrsb+nmxU4nLv8Asx2e2Ncf2S4+y+bhtFn53U0LKcpx8JlHNtDRm4W2XH6HqErwzFfgr1fAfYug9nm45Gcw8YyQUwcODFY70OvwTz4frE4RmdbgQFsPz3c4sQf8zLP1xb7+0Cbx4Bt/Oi67ld9/ZCFjcsW4bO+NfCkbdlz0ExHxXPV1MS4fOAtqX4RL7xKOqwbepiYAHBPjCKNpMXVwXO5+JmR384lenu9wYEVmnrU79vWHNgMyVJyG02blD7ecRkm+ky/8Y2N2jstzviHm4rNfUW1Ztxqu/C1MuSDk1AFljscT7NNi8vlgy4mg9R9q72NlhwsLMrP8cV7VD28BZChfgMNm4YGbT6Os0MUXH92UneNy6Rdg/GLBgFLmeN1quPK+iMoP3kYxLuOKH2oxeQXYXCLKb8KECRMmTJgYMTAp/ScJ7n5pD0eKBC3fs39/7Cj3YVFbXSkjNzbfxX03LeRDD77D957azr03zI+ZCjAssNrhoyvhvQdhw9+EyvzSL0Qtp6erJJ8WrgKoOgd2PQsX/iRYzuq3r+7laFEZAJ76+tiK/4c2is/BCgEl+U7uv3kh1z/wDnf8dxu/vXFBdtnSYoXr/yoE52pfgqJJ8KFHYMKiiFO9isOvd/HEmSdy+XevEgsIg9/7vtf2cbhgLCBsGfO3aX5PfFYI2vvoPCe/+4gYl9/5zzZ+/5GF2WVLqx2u/wu89D04vBVyS+CDf4hgigAMDDr89vE6HX5XoYigRozLfRzMU22pKM1H4OD74nNQib3I7eC+mxbwoQff4ZtPbuGBm0/LLls6cuHGx+DlH0D961BcCZfeHbUEnLepWVwST1U+pG23ED/c9SxcclcwReKeV2ppzldt6ZoZo+TeoU3is3wBAMW5wpbX3v8233xiKw/ekmW2tDkFW+fNXwtthLLZcPH/ClG/MAw0KYsnOp+XjlyhMbF7FVzy8/jl/0xkPwIBbJ2xFrRHFr0/bpQfso/en4SIHwwfvT8yyq8cSZXeHyriJzaNoPfri/JDYvT+WBHsU43eHy2CbQy9P1TET3vf0aGT3q9TxA8So/eHi/hBZKQ/EXp/OiGTnc66ERhRDn9Daw/PbTvMFy9cBK+K0nz5K1ZEP/nQZuHouUcFd502qZgvnz+VX71cy4qasdmXn+oqEFFATb5+NOgqyReOmsth1VehZTeMnUFjWy/PbD3M585dAGsQNb/POiv6tY3vCuckvzS4a8HEYv7fhdO4+8U9rKgZyzULdVKPM4WcYpETfcGP4p7mbW4Wpc/GJaDtUHM51L4QLLPWdLyX/2w6yCfPW6ja8rzzol/btB5GTRaieINYMLGYr100nZ8/v5unNh3MPlvac+Dy/xvyNG9TM0gS9vEJzKuaK0TE++gOKJtNQ2sPT2xs5tblC2E1eOsbYl97cAMUV4XM8QUTi/nGxdO587ndPLP1MFfOS2COZAJWG1xy55CnKU5q3DJy4ZjxARHhP7QJxp9G0/FentjQzCdWLIRXpSFsuREKJ0BeSXDX3PFFfOuSGn66ahdPbjzIdadl2bi02uHcb4r/48B7YNDh15seAYNz/Pn4pRRNnBwIBJB6+uO8DI0cen94Tj8YRe+Xwv5tDL0/mZJ9MHz0/sicfqWHVOn9sUv2QfL0fr0l+5RvoZfeP5RDa9L7TzV6v76SfaCP3m8iOYwoSv8f19Zht1i4+fyZ2MaOFTW/o0GWhZM6WM9aiy8sn8LCiUX8zzM7aOuOQ2PPYngPHMBeUT50ST4tpg+W6xqkoj/4xn6sksTNly3Ekp8van5HgyxD0zqYcEbEoc+eO5lFlcX8cOUOjnWdnLN1oKkZ+7hxidly2qWAFKT8/n7NfqwWiU9cNh9rcXH8cdm8HsZHMg0+dXY1iytH8cOnd3C4I05KQBZjoKkJW1nZ0KXPtKi5HJCCVPQ/v1mPVZL49CVzsJWUxLYlQPOGYHRfi9uWVTNvQhE/WnkSz/HGJmxjx2JxufRfNO1isNiCKRJ/easBiyTxyfNnYB83Lr4tD20SrKIwfOKsKhZVFvOTZ3fS0nWy2rIRW0kJFrdb/0XTLkGMy1VDnmrChAkTJkyYODkQQDLk/2zDiInwt3Z7eGJDM9csrGBsvou+qiq8dTGc1ON10H0EJp0Zcchqkfj5tXO5/Ddr+emqXfz6w5EvudmOgaYmHBN0UtAVFIwTztHuVbQt/CL/3tDMtadVUFaYQ191FZ66GM7A8TroaYla81qx5aX3rOXHz+zkvpt0KIpnGQaam/ULoynIKxGCgLufpX3xV3lqUzPXLqygtMBFX3V1bMeq/QD0HIuaWmC1SPzy+nlcdM/r/GjlDh68RYfSfZbB29yMY3yithwrdBV2PUvHkq/x5MZmPjCvnLEFg3M8li07D0HXIRgfaSerReLu6+ZyxW/e5Icrd5yU49Lb1IhdrxaCgpxiUaJv1zN0nvVd/rW+kSvmjqOs0EVjPFt2t8CJejjtYxGHLMocv3ctP1q5g9995OSz5UBjo76SfFrklYhxuXsVLP9Oem7MRGYQkKG3T0e950h6v/4oPyRE7x9iTTT76P3hIn5iX6r0/ggRPzCI3h8p9JrV9P5wEb/BplKl9ycj4gc66P06ItjJ0Pt1R/khK+j9Q0Wwk6f3R2MdpU7vj4zyQ7bS+9MG2VTpz24E/Pzrnf14fAE+eXY1AI6qSjqffwFZliNzSw+8LT4nRjr8ANNK8/ncuZP5zWv7uHpBBedOK4l6XrZioLkZ15zZQ58YjprL4dUfs+qtjXh9AW49qwoAZ1U1PW+/Hf2apnXiM0qEH0Qt9C8sn8KvX6nl2tOOsXz62MTvaxjhbW4mf8XyxC+suRxe/j7Pr32P/oEAH11aCYhx2b16TfRrmtaLzygRfoCJo9186fyp/OKFPbyy8ygXzCyNel62YqCpidxly4Y+MRw1V8BLd/DC2nfo9fq59axKABxVVXS98EL0aw5uEJ/l0R3QaaX5fOn8KfzypVqumHuES2aXJX5fw4iBxiZyz4z+/IqLGVfAqq/x0prX6fH6uW3Z4POyupr2J5+M/rxsWCs+J0X/7SaX5PHl86dy94t7+MD2k8+W3sbGJMfl5UK74sQBKNaZ/28i+xAIIGsc/vjln5LN6YfE6P36cvrF2frp/dFclWym98cv2ac5Pw6i0/tj5/SL/pKj90ez76lI749Xsk+5Jhl6v/6cfkiM3h/b6Yfk6f16HNpsovenWrIPYtH7Q51+SJHebyIpnPyU/s5DyP9XQ+e6v3PWlNFMGSumsrO6mkBHB/7jUR52B94G92gomR6z2c8vn0J1SS53PLWNXq8vXXdvOPzd3fg7OhKPpAJMvxyAlvefYnHVKKaVilJ/jupqfMeO4e+Oooje+K4QVyupidnsZ8+rZsrYPL731PaTypaB3l78bW36Rea0qFFs+R8WV45ixjhRUs1ZVYW/rQ1/R0fkNc3rwe6GsbNiNvvJZdVMHZvHD1fuOLls2d+P79ixxPKkFcy4AoDW9U+yuHJUsDyho6oSf0cHvhMnIq+pe13YMgoNXcFnzp3MzHEFfO+/2+noy0LV/hhQbJlwhB+Cc7xj01OcPqmYOeNVW8q9vfiORnlNaFgLjvygYF80fPqcamaMK+AHT5+ctkxqXCppUKZaf1ZAkqS7JUnaLUnSVkmSnpIkKctqb5owYcKEiWyGjKnSn73IH0ef5OIszxvMXfzF4G5HlYhOe+vrsY0eHXrNgbdg4tK46souu5WfXzOXDz34Dr96qZbvXRFDvTrLMNAs1LvtyTj8JdPpza9kUfvbTDvjK8HdzmrVljlz5oRe0/iuoK9bYq8dOW1WfnbNHK5/4B3ueWUv371sRuL3NgzwBm2ZhHjj6Ml0F05l0fF3qFr69eBuR5WIqHrr68mZH+aM1r8hKOjW2NPSYbNw50loy4GDBwGwJ5pqAlBcSU/xDBa3vc2Epd8K7nZq53hxWC34utUw6Syh1h4DdquFX1w3lyvve5Nfv1zLj66MvdCSTVCqHSSctgNQMI7usQtZdORt8k7/dnC31pb2srAIff1aUXUhzri0Wy3cfd1crvrdW/zihd387wfnxDw3mzBw6DAA9ork5jhLPhd3sdNERvEy8B1Zln2SJN0FfAf41hDXIMsycr+qP6GNNg0d6U9GxA+GpvfrE/GDxOj94SJ+ynbW0vvDRPyU7Wyl94eL+CnbJr3fGHp/UiJ+MDS9X6eIHyRG748n4gep0PtjR/kheXp/fBE/SJ7eHy7iBynT+9OIbHTWjcDJ7/BLEmtsZ3GR9V8EJmmmw6Bj5amrw326Jo+3o1nkSi/57JBNL64axY2LJ/CXtxu47vTx1JQVGH77RiPo8Fck4fBLEmusS4UtK9Wh4agedFLr6kId/u5j0LoH5n14yKYXVQpb/vnNeq5ZWHGS2FI4qbpLn4VhrXUJF1ofJVClPjgdVZUAeOobQh3+jmZo2QXzbxqy3UWVo/jw6cKWV8+vYGZ59tvSq9SNTyaSCqy1LeUiy1/wanzc4KJeXR3uhRrqfnsTtO2D0z8xZLuzKwq5aclE/vZOAx9eNCHIxMhmBEvyJRPhB960ncEllt9TPVFliChz3FNfT+5STUnFzsPQthcWfnTIdmdXFPLRpZP469sN3Lh4YpCJkc0YOHQISNLhBzbM/CazygtJQDrRRJogy/JLmn++C1yn+1rfQNTyT8NG7w/P6YespvfrLdkHCdL745XsU244KXq/vpJ9oj+T3h+5HfotIpy1OCX7wltKjN4fmtMPBtH7deb0wwin98cr2Qcp0Ptj5/RD4vR+E8nhpHf4j3b287uWeVxm/yfsXQWn3wqAvXwcktMZWWqq4U3xGaVOeDR88+Iant9+hB88vYN/ffqM7Ko1HQWpRKWP93hVW+55GhZ/Chh0eG22SOG+2sH86amRdcKj4VuX1PDC9iP8aOUO/vmp7LflQLNSNz5xJ7Wjd4D7j83hUltA2HLRJwFEqoXdHikoufdl8anTlt+5rIaXdx3lhyu38/hnlma/LQed1ITKyA2i1+vj/qMzuMQi49r3PCy6TbRVUYFkt+MJF5urWyM+q/VpL3z9oums2nqYH648OeZ4Kiwej8/PfYdquATIq38RSj8HIBT/3W5RMlILJX+/6hxd7X/lgmk8s+UQP3h6O0989kwsliy3pcI8SaSE6SA6ege48Q/r+PhZlScN0+YUwieAf8U6KEnSp4FPA7hwx637HC/a7+wAT6Hx0f5kSvbB0NF+T6EDZ4d4aTYy2m/p7QN3juHR/iYfTLAZH+2Xi8Dfbny0P17JPmU7mWh/W2cuowt6Ir9MitH+Kucx6j2RukqpRvsldw5yb5/h0X5HB3gLjY/2F0s2BmSf4dF+b0EOjk4xNoyM9tu6+5HzlGVm46L9R4CyNET7+4vA0m5ktH/IrpOGTHbS8Y3ASZ/DPybPyTduuYaBosmw4z/B/ZLFgqOyMlJ5evezkFcGZfN0tV+c6+AbF0/nvfrjrNxyyMhbTwsGDh7CkpuLtSjx9MVntx5ih38CnuJpsP3J4H7JbscxYUKkk7rneVGbu1SfQGCR28HXLprOu3XHeW7bkYTvL9PwNjdjcbuxhtPFdWDVtsNs9Y2nv3g6bFHfO4O2bAgbl/teEbaMoyuhRZFbjMv1DSdOinHpbW5K2pYvbD/CFm85fUVTYavGllYr9kkTIxf16lZDXimM1eeECVvW8F79cZ7Zejjh+/v/7J13fBR1+sffszW9AemBJBBa6FJURAUsYAFFUTzr6Z13+vNOvTvrWbDfnd5ZTs92dk+xgIhYwA5Kr9JrgGSXNEoKKdvm98ewIWWzO7M7m50k8369eGXJzs5892Fm2Weez/N5Ohqn3Y4QFYUxJUXxa7/dVs7mhp7UJvaHrQuafi8Igu/Py6IfJY+OdHkS/cRoM3dNGci6A0f5ZL1N8fo6GqfdDiYTplTlZqILN9lxuD1cOEz5zQKd4BAE4RtBEDb7+DO92TZ/BVzA/9rbjyiKr4iiOFoUxdFm2m/7CcSJZL9z4E32VScmOiy7zTEFTuCDQUr2Ow8+k30V8JXsq4FYF57RwVKyrz5OMTx+SN5kX21OJPvqkt50s0NdpGS/8yCKgip/tEbn+lfwgdEgcObANLBfAkufkiSoCRmAJPlt2Lb1xMaNtVIlddQ1fnvOWzNrTG/mrCrm8S+2MXlQGnFW7YbNWVKCOTs7qCrl3HU2BmUkYh1xGXz/qCSNTpIqspb8fBqLmiX8jjrY8z2MutqvF0Jrrhjbm/dWHuCxz7cycWAvYiwajmVxKLEsoSA1HutJv4JvHpTGF6Z4HdHzWlalXQ6pKj10pqJYXjY6h/dWHuDxL7Zx1qA0YrV8XoYQy3nrbPROiSVq9NXwzQNQuQt6FgBS73nj7j0nNva4JcO+fpMVxfLyMTm8v0o6LycPTNV2LO12zJmZQcayhLQEKzEnXQHfPQSVu6FnP0D6vKxfv/7Exi6HNHau39lgaFv5ao9LRmXz3qoDPPHlds4uTCMhyhz4RRHCabdjTk9HMMp/f14+WWejX2ocQ7K03wbSVRBF8Sx/zwuCcC1wATBZFEVFdSB/VX7vz46S9/sd2QchyPvb+uurIe/339MPWpP3++/pB63J+/1K+0Fz8n6/Pf0QgrzfV4xCl/cHM7IPIifv932WqiHvb39kHwQv75c7sg/kyftpRCcItPutVikjroAlT8K6t+BMyYzKkpdLzddf43E4MFgssPtrcDXA4On+99UKo0Hg4emFXPyfZTz3rbaN0pwlJZh7Kzfz2lNRy8bio9x3/iAovERK+H+ZA6ffAYA1L5faJUsQXS4Ek0mq/LnqTzhVy8RoEHhoeiEzX1rOSz/s4U/nyKtoR4JgY7mv8hhr9x/h7qkDEYb2g29mwy8fNp2X1rw8an9sFssDy8FRK1vO78VoEJg9rZBLXlzG89/v5q4p2jUPc9rtQfVJH6yq5+c9ldw6uQBh+CD49iHY8D84azYAltw8ar7/AdHpRDCbpZtQdZVBn5cz/rOMf3+3m7unajiWNltQEvTK2kZ+2FHBDRPyMIwcCj88Jn1envMIIN2Iqv78czz19Riio2HPt1B/BIZdpug4BoPAw9OGMO2Fn3jm6108cKF2DU+DjeWBQ3Ws2X+EO84doPkWkO6CIAhTkEz6zhBFUXapShAEEAy+xz8pkPf7ltMGJ+/3P7IPgpf3t9/T7+sdBCXvP/5YfTO/liP7QB15f9uRfd41Kpf3+0v6oW185cr75ff0gzJ5v7ykH5TJ+30ltOqb+TWPUWjyfv8j+yB4eX/7ST8EL+8PpqcfFJr5tRrZByHI+xNqqaiOa2dkX+u1Bpb3hzvh9/i+rdfp6Vx6NH+k5EPB2bDmdakyhTSaD7cb53HDMLZ+CrG9JId+hYzsncxlo7N5/acidpfXqLly1RBFEYfNhjlL+RfYT9bZMAgwbXimFMv8ibDqv02xtOTlg9PZ1PPKtoVgTZCc0BUyJjeF6SMyeWnJXooPh0dCFCqiKOIoKcEShBfCvHUlGAS4aEQWJGZJ/c/r3wW39J9wm1iuf0eKE0A49wAAIABJREFUZf4Zio91Up9kZozK4r9L91JUGR7Znxp4q9JK+WS9DVGEGSOzIT4d+p0FG+dIlXyOG/e5XE3eFax/Wxq5qTDhBxjVO5lLT8rmtZ/2sqfCxwhKjRBsLD/dYMflEblkVDbEp8GAqdLNE5f0v2eTU//+/dILfvkQolOg7yTFxxqancgVY3vz1vJ97CjV5uclBB/L+Ruka/eikcGZ/emEheeBeOBrQRA2CILwUqQXpKOjo9PdqaiOC7yRRhBFfSxf52DMb+G9mbD9MxhyCZZc6QtsY1ER1qyesHOx5CivQJ7aHK/p3IMLtvDuDeM0V9lxHzmCWFcnGcMpwOMR+WS9jQkFvUhNON4bdOot8O4lsPljGPErLMdH8zXu3YulR7T0+2GXgSm4Xrh7pg7i661lPPr5Vl6+enTgF3Qw7iNHEOvrFVelPR6ReettjO/Xk/REbyz/AP+7VOo/H3nVCaf+vXuxpETBlvmSqZ8lNqi13j11IIu3lPHIwq28ft2YoPYRTtzV1XhqahTHUhRF5q2zMSY3md49YqRfjroGPrgSNn0Ew2c1xdJRtA9rajxs/0IymwzyvLxrykAWbS7loc+28tavx2juGvfU1eE+ciQotcS8dSUMzUqkf1q89IuTroNtn0l/hl7aYpRpVF6W5NEx4ldgDE6Sf8c5A/hi00EeXLBZkyadosOBq7w8qPPyk/U2Ts5PISspPL3LOsoRRbFfUC8UBAxmU/vjn7qUvN9X/VSX93uPH7K838/IPu+ygpH3yx7ZBwrl/fJG9oEyeb/skX2gUN7f/sg+0OX9vo7RJeX92q0haJqulfD3OwuS8+DnZ2HwRc3GdhWBYTk4j8FJvw569z3irPzl3AE88OkWvthUyvnDMtRauSoE6969at9hbEfruXNKM3l938mQOhiWPQ/Dr5DUEkgj0HD/KFUFT7016LWmJ0Zxy6R+/OOrHSzdVcGEgl5B7yscOG3Bjetate8wJUfq+UvzVoV+Z0HGcFj6TymWTYnVPhBWgsfZNBEhGFLjo7h1cgGPfbGN77aXMWlgWtD7CgdNo88UVlI32arYXV7LEzOaGcYNOA/Sh8H3j0PhjBbz44neKsVy5NVBr7VXvJXbz+7Pwwu38vXWMs4pTA/8og4k2FhuL61mi72a2c3l9fmTpBny3z0Kgy7E0qcPIN0gZf0+qWVHoZy/OcmxFv5yzgDum7+Zhb8c5MLh2jK3c5aVgcejOJYbio9SVHmMm87oG6aV6XQoBgOCxeJTThtI3i836Qel8n4/I/uadqlc3i93ZJ+vdxDsyD7Q5f2hy/tb9vRD95T3+x/ZJ20ZlLzf38g+CEHeLy/pB2Xy/vZi1Bnk/W1H9nlXL1/eH260aLinBl1H0g+SEd+k++DgRljxH4xxsZhSU3Hs3AorXoQhl0LGsJAOceW4PgzOSODRz7dyrDE8zp7B0pTwZylL+OetKyHWYuScwc2SG0GA8bdC+RZY+RLGxESMKSk4du+E1a9JPgg9gyuoeLnhtDz69Ihh9oItOFzamq/ZlFhlKLup443luYWtYnn6HZJx37q3MCYlSbHctU1qQel3FvQILXm49tRc8nvF8vBnW2l0hccZNlhOzDpXlljNXVuCxWRoeWPNYIDJD8LR/bD2zROx3LlVuqGSczKkhdYzfs0pfRiQFs/DC7fS4Ow6sTQZBKaNaHYDy2CAKU/AkSJY/gKGmBhMmRk4dmyVbqj0nQQ540Ja7xVje1OYmcBjn2/T3uelLbhYfrLehtVkYOpQbd0M0tHR0dHR0QkFdeT8uqS/IxhyCWyeJ1WtcsZh6ZODY+NSON0Bk/4a8u69Bn6XvrScF77fzZ0aMko7kQzIr0o3ON18uamU84ZmEG1pdRd72OWS78Hi+yFzJJY+vWlc8zWMr4bTbg95vVaTkQcvHMz1b67h5R/38IfJBSHvUy2CqaTWO9x8samUqb5iOeB8qZf/izshJR9Lbh8aVy+GM47AmfeEvF6LycDsCwu55vVVvPzjXv6opVjalMfS4fKwYKOdcwb7cHnvNxlyJ8DXD0ByLpbcXBrXfQdn1MG050Jer8loYPa0Qq54dQUv/rCH28/uH/I+1aJpbryCa9zl9vDJejsTB6aSEtuqFNh3knRuLnkKMoZh7dMbx6bl0LMBzntK0aQDX3g/Ly95cbnmjCWD+bx0uDx8ttHO2YPTiNfw9AEdBRgEhOgTY65ay2mDN/Hz7u3EY/ny/pYmfqCOvL+tiR+oIe/3Z+Lnfa0u7w9F3t/SxA/Ukfe3rfKDluX9/k38Wh5Fmby/pYkfqCPvb2vi1/pxcPL+QC0QXV3erxMcXS/hFwQ4/5/w8unw2tlYqntRXWZEnPwgwvGxaKEyOjeFGaOyeHXpXi45KZu+vbRhSOG02zEkJmKMk98LvmhLKTWNLi4e5eNLryDA9Bfg5TPg9XOx1PSittwA0/8DmSNUWfOkgWlcMCyDf3+3m6lD0+mXGq/KfkPFabdjiInBkJgo+zWLt5ZS2+iSTNFaYzDAZe/AG1PhnRlYqpOprTBKscxWx8Pg9P69jsdyF1OGpJ/o1Y4wwcyN/2FHOUfqnL5jKQgw803JY+L9WViqk6gtN8GUx6GXOlMfTunbgwuHZ/LiD3s4b2gGA9K1E0vMZky95LfALN1dSWVto+9YApz3D3j3Unj3EixHelFVbkSccAdCiKoTLyf1SeGSUdn8d+leLhqRpZ1Y2mwgCJjT5LfA/LizgiN1Tmb4+rzU6ZwYDBAdFVBO6yvxD6anHyIn7/c/ss+7M+3I+2Un/aAJeb/P26OqyPt9JbShy/tDHdknraPj5P1te/pBy/L+YHr6QYa8X0YLRDDyfv9JP2hF3h9udEl/ZyIhA/6wFiY/iDU3F4/TgHvglaoe4p6pg4g2G/nzhxtxukOTo7vcHqrqnSHLh502u2IJ+tx1NrKSojk5r4fvDWJS4IZFcPYjWPP74m404u57YUjrbM2DFxYSbTHyl49+CTmWoihyqLYx5P1IY+SUzTqfdzyW4/LaSWyjk+DqT2D8rVgHDpNimXtuSOtszUPTComPMnPHRxtxqRTLUFsEnHbpvFQSy7nrSugZZ2VCQU/fG8T2hGs/gzE3YB00UoplvxkhrbM1sy8cTHyUiT99uEGV87Kq3hmyrN1pOz433iD/o3vu2hKSYsxMGpjqe4PEbLjxezjtdiwFA/C4DLgGXRvSOltz73kDSYw2c9sHG0I+nzwekdpGFzUNzsAb+8Fpt2NKTUWwyDd4nLu2hJ5xFs15jujo6Ojo6OiEhoju0t/5iEqACX/CwlhY9Fsce/di6tFOUhsEveKtPD5jKLe8t55nv9nFX85VXllcvucQ76zYx9JdldQ0SInAsOxEZo7O4YoxOZiMyu7HOO12zDk5srcvq27gp10V/N/EfhgMfk7OhEwY/0csDYWw+BYc+/YRPSw0L4Tm9Iq38tjFQ7jlvfU8tWgH95w3SPE+VhUd5o2fi1i+9xBH66REYGB6PNedmsuMUdlYTMpjaVIgQS+vbmDprgpuPjNALOPT4awHsRi+g4X/h6OoiOjhwxWtzR894qw8PL2QW95bzz8W7eBehbEURZHV+47w5rIift59iKp6JwYB+qXGccNpecwYlY05mPNSQSyPHHPw3fZyrj0l1/81EJUA5z2JJeo7+Oz/pPNyhDrKE5Bi+fiMofzunbU8tXgH90xVfl6u2HuI91Ye4Lvt5dQ2ujAIMCA9gV+N682vxvbG6O9c8YHTZlMkQa+qd7J4axmzxuT4vwbM0XDWbKwxy+CzG3AUFSmqfAeiR5yVv80Yxm/eXsM/F+9UfF4CrNl3mHdX7OebbVIsAYZmJXLxyCyuOaVPcJ+XCmJ5+JiDb7eXce0puYqvAR3tIhoNiLExsuS0ury/5Tvx3gZtU+UHVeT98k38QJm8X16VH5TJ+/2Z+EEo8n5fzQOhy/v9m/hB8PL+9qv8ELy839dZqmV5f1sTv+bra/1Ygby/lYlf6z0FK++XbeIHEZX36wSHKgm/IAhTgGeRzq3/iqL4NzX2qwZep/7GoiJixqg7suyCYZks2VnBCz/sZkhWAlOGyKuu7y6vZfaCLfy0u5KecRbOG5JBQVoctY0uFm8p4/75m5m/3sYzl48gJyVG9nqcBw8SM06+ydYn6214RJjRntS3FZbcXEByRFcz4Qcplsv2HOLlJXsZ2TuZKUPkGWLtqzzGffM389PuSlJiLZwzOI0B6QlU1zv5emsZd8/bxPuri3npqlFkJMofoeW024keIT8RX7DRjkfEd2uED5qPjFQz4Qcpliv2HuKVJXsZmZPE1KHyzsu9FbU8uGALS3dVkhRjZuqQdArS4qmqc/DDzgrumruJN5ft57VrR5OpYByZ024naqD83u2Fv9hxukX552XTNa5uwg9wbmE6V53cm5d/3MvgjASmj5D372s7Ws/Dn21h0ZYyEqJMXDAsg7694qhpdLFkZwX3z9/MeysP8MrVJym7xu12YidMkL39F5sO4nB52pfzt6L5aL7Yk0+WfRw5nDU4jSvH9eaVJXsZlBHPxSPlram8poEnvtjOJ+ttJMWYOX9oBn1TY6l3ePhuRzkPL9zK/A02np01krye8tuZnDabovNlwQYbTrfIJScpM0XV0TaiQcATb/WRJkj4lfeHOLIPdHl/S1rL+4Po6YfA8n6ZPf2gTN7vt6cftCfvb9XTD7q8/wTalffLHdnn/al+Tz8ok/fLS/pBrrw/jIggih1zqI4m5IRfEAQj8AJwNlACrBYEYYEoiltD3bcamDMzEKxWaTRfGHho2hB2ldfyxzkbeOd6C+Py21cROFweXvxhDy98v5toi5H7LxjMleN6E2U+cTnedlZ/Pt1g475PNjPjxWV8+LtTZH2JdVdX46mtlV1JFUWRuWtLOKlPsuwvyZacHDAaady3T9b2SnnggsFssVfzx/fX8/p1YzitPTk3UixfXbqX577dhcVo4P4LBvOrsb1bmOXddlYBX2wq5c6PN3Lhv39izo0ny/IIcNcew1NVpagqPXedjeE5SbL9HCw52WAySaP5wsD9Fwxms62aWz/YQLTFyJkD2pFzIxk3vvD9bl7+cS9Wk+9Y3n52f77aXModH//CRS/8zNs3jGVgekLAdXgaGnAfOqTICf3jdTYGZSQwODPw/gEs2cdjuXev7GMo4YELCtlRWsOdH/9CUoyFM/q3L+d2uDy8/nMRz36zCxGRO6cM4PrxeS2u8dvPKuDLzaXcM28Tl760jLevHyerr93jcOCqqFB2Xq4toV9qHMOy5XlRmNLSEKKjpdF8YeDBCwvZU1HLXR9voldclN9r3OX28M6K/fxr8U4aXR5umdiP/5vYr8V5+cfJ/fh800Hun7+ZmS8tZ86N42Rd46LbjbO0lAQFsfx4XQlDshIYlCHvvNTR0dHR0dHpXHg6bABgx6JGhX8ssFsUxb0AgiDMAaYDmkj4BYMBS26uNKc7DERbjLx+7RgufWkZV7++ikemF3L5mN4tthFFkR93VvDY59vYVV7LhcMzeeCCwfSK9y1PmT4ii8EZCVz+ygqufHUFH910KlkBKqpKXeU326rZVV7LYxcPkbU9gGCxYM7OCluSGmU28tavxzDrlRX85u3VzL6wkMvH5LTp/ZZiuZWdZbVMHZLO7GmFpCVEtdmfIAicPyyD/mlxXPHqSq55bRXzbh5PemLbbZvjOqgsllvt1Ww7WM3D0wtlvlMQzGYs2dlhOy+tJiOvXzeGq/67khvfXsujFw1h5ujsNrH8fkc5D366hQOH67h4ZBb3nDeQ1HjfsZw6NIP8XnFc8/pKrnt9NfP/L3AsnfaDgPxY7i6vZWPxUe47X77kWzCbseTk4NgXnlhaTAZeuuokrnptFb95azWPXTS0TSxFUWT5nkM8uGALu8prOXtwGg9eOJjs5LbVe0EQOG+oVPG/+rWVXPnflSy4ZXxA1YRLoav8/kPHWLP/CHdOGSDbP0EwGLDk5YbtGvfG8vKXV3DdG6t4ePoQrhib4zOWDy/cyvbSGiYU9OShaYXk+7iZJggCFwzLZGB6PFe8upJZr6zgk5vHB1RNuCoqwOWSfV5uO1jNZls1sy8MbeSjjvYQjQLOBN/znnV5vzx5v98qP2hP3h+EiR9ETt7ftsrvfSZUeX9LEz/poRryfnlVflAm72+vgt3d5P2+VEfqyPtbmvg1X7dvZMr7ZZr4gRJ5v45S1Ej4s4DiZn8vAdroygVBuBG4EaB3796tnw4rlrw8GraF7/5DcqyFD393CrfO2cBdczfx4ZoSLhqZRc9YC/sO1fHVllI2Fh8lJyWaN64bw8T2zLOaUZAWzzs3jGXWyyu46d21fPT7U7Ca2rrDejmR8MuTb89dJ804v2CYshnU1ty8sCWpAEkxFt79zTj++P567p63ibnrSrhweCY946zYjtSzcNNBNhYfpXdKDK9eM5qzBwfuMy5Ii+fN4zcSrn9zNfNuPrVFxbU1Sm+efLK+BLNRUBxLS154Y5kSa+G9347jxnfWcufcX/hwTTHnD8sgIzGK4sP1LNhoZ5Otivxesbz3m3Gc2q/9aquXAenxvHHdWGa+tIzr31zN3JtObTuCsBlNY+RkxnLeuhKMBoFpIxTGMj8/bFVpkHrQP/jdydz49hrunPsL7606wPQRmWQmRbP/0DE+/+UgG0uqyE6O5rVrRzN5UODzckB6PP/7zTgu/s8ybnxnDR/9LkAsFZ6XH64pxiDAxSOVOcpbc/Oo37hR0WuUkBRj4aObTuH//reOez/ZxPurDjBzdDap8VHsO3SMxVtKWXfgKBmJUbx45SimDEkPeMOiX2o87//2ZGb852d+985a+eelzJsnc9dK1/g0mS0dOp0H0QiOBCO+xj8Fkvf7S/q9P7uDvL91Tz+oJe8XWv1dHXl/MCP7IHLy/rY9/d4jhCrvb39kHwQv75c7ss/7LuTK+wMltLq8v7vI+8OHSNd16Vcj4fcVmTYdEKIovgK8AjB69OgO7ZCw5udRs3gxHocDgwJHZiX0iLPy1vVjeXv5Pt5Zvp/7529uem5QRgKPXDSEy0cHMM5qRWFmIk/OHM7v313LY59v4+Hp7Vfjlcw6d7g8fLrBxtmD00iMVjbowpKby7GVKxE9HkVO4UroGWfl3RvG8fbyfby9Yj8PfLql6bnCzAQemlbIrLE5fm+AtGZIViLPXTGC699cw2Ofb+ORi/zEsimxCvzl3uX2MH+DnYkDfMw4D4AlL49jP/+M6HYjGOW/FyUkxViY89uTmbO6mJd+3MNDn5248TUwPT6oWA7OTOD5K0dx/ZurefTzrTx28dB2t1WSpDrdHj5eW8IZ/Xv5VBn4w5qXS+2SJYguF4IpPF6kCVFm/vebk5m3roRnvtnVIpb9UuN4ZHohl56U4zfRbE1BWjzPXTGCG95aw8MLt/DEjPa9MU7MjQ8cS5fbw0drSjhzQKoi7wqQzsvqL7/E09CAIUrZv4NcEqLMvHHdGD5eW8JLP+5pcY337RXLI9MLmTk6x++Nudb0S43j2Vkjuf6t1dz/6Waemtm+N4aSWDrdHuZvsDF5YJria1xHR0dHR0ens6BNh301UOObcQnQ3Bo+G7CrsF/VsOTlgceD88ABrP36he04RoPAr8fncd2puRw4XEedw02PWAupPuTmcpkyJJ3fnJbHf38q4swBvZg00Hfl0Gm3I1itGGVMIvhuuzTj/FKZRl7NseTlITY04CotVdRLrBSDQeC68Xlce2ou+w/V0ejykBRj9indl8ukgWlNsRzfr2e7xoAnZp0Hrnh/s62cippGLg3CyMuSl4vocOA8eFDqQw8TBoMgucKP643taD1HjjlIS4iiZ5xF0ai85kwckMqNE/J5ecleTu/fi3ML/cTSZMKUGljV8u22csprGrlirHIFkCUvD5xOnDYblj59FL9eLkaDwMzROVx6UjYVNY3YqxrokxJDcgiJ4KSBadx4ej4v/7iXcwvT2/VbcNhsYDDIcs//brsUy1lj5E/t8GLJzwNRxLH/AFED+it+vVxMRgOzxvbmstE5lNU0UFHTSFZSND3ignfinTgwlVsm9uPf3+3m3ML0dhVATRV+GWNMf9xRQWWtI6hrXEf7iEZoTPQ97zmgvL+1iR+oIu+XX+VvecCA8v4AH1Pak/e3NvGTfheqvL+NiR+oJO9ve4NS0/L+1iZ+x3cVqrw/GBM/kCHvl1HBDkbeL7vKD5qQ9wcyFQ1e3u9LdRS6vL9tlR9Ck/frBIMaCf9qoEAQhDzABswCfqXCflXDkpcPQOPevWFN+L0IgkCfHvLdogNxx5QBLN1VyT3zNrH49hSfVXnnwYOyZ52/s2IfmYlR7c8490PzqQfhTPi9CIJArgLn7UDcOWUgy/ce4r75mxibl+KzYqdk1vm7K/aTmRglS8LdGmszR/RwJvzNyUqKDugHIZc/nzOAn/dUcvfcXzipTzI9fSRqTrsdc1qarKr7/1buJyMxiokDlM84b7rGi4rCmvB7EQSB1ISokG7mNef2s/rz3bZy7p67iUW3n+7zGnfZ7ZKpnjmwKmfO6mJS461MktE+1JoT5+XesCb8XgwGgYzEaMVKhPb4w6QCvtlWzr2fbGJMbjJJMb6vcWOPHhiiAx9zzupiesZZOCOI81JH+3iM4Ej0Pf4pkLxfbk+/96f6Pf2gTN4vr6df2lq+vN9XqqJleb//kX3NtveDb3l/+z390vGCk/f7im93lPf7G9nnfU0w8n75Pf2gTN7fftIPwcv75XiMaEneH+rIPmgt7w8vXdWlP2RNtiiKLuAWYBGwDfhQFMUt/l/VsZwYJ7cvousIFqvJyJMzh1FZ6+DRhb69COTOOt9VVsPPuw9x5cnK51ZD54+lxWTgqZnDqap3MnuB79NUbiz3VNTy0+5KfjVO+Tx1aDkCrTNiMRl4+rIRHGt0c//8zYg+PiXlxvLAoTqW7qrk8jE5wZ2XebkAYZvGEW6izEb+edlwKmobefizdq5xm7xYFh+u44cd5cwcnR3iNd45Yyld48M4cszRfiwVnJffbi9j1pjemIOIpY6Ojo6Ojk7nQRQFVf5oDVVul4ii+AXwhRr7CgfGuFhMqalhG9vVEQzLTuL3Z+Tzwvd7OG9YBhNbyX6ddjtRE88MuJ+3lu/DYjIEJfUFMKX2whATgyNMo/k6gkEZCfxhUgH/+non5w3NaCPtd9rtxI4fH3A/767Yj9kocFmQsTSmpGBISAir2Vy4KUiL57azC/jHVztY+MtBLhzeMoly2u3Ejh0bcD9vLCvCZBC4PNjzMjkZY1JSp01SQbrGbz6zL//+bjdThrSVozvsNmJOGh1wP6/9VIRBELj65Nyg1mGIicGUnt6pz8vCzERuntiP577dxXlDMzirVSydNhvWAQMC7ufNZfswCgJXnxJ+1YhOZJBM+8D3vGf/8n5fclp15P3BmPi1PKBveb88Ez9QJu9vbeLnfaxZeX8rEz/vY63K+1ub+Hkf6/J+deT9QZn4QWB5v0wTP1Am7/dn4gehyPvbr/JD8PJ+/yZ+oFTerxMcHaOP0ACW/HwawzS2q6P44+QCFm8p4565m1j8p9NJiJIuHE9jI+7KSkwB+lGPHHMwb52NC4dlBt0nKwhC2N3lO4KbzuzLV5tLuW/+JsblpTT1YIsyZ50fPubgg9XFXDAsU7HBnBcpluEbgdZR3Dghn0Vbynjg082cnN+jadyk6HTiKisLaIx25JiDOauKmTYiMyRZtyU/v9Ofl3+YVMDXW8u495NNjM1NITFGusZFlwtXWXnAWFbVOflwjRTLQCMT/WHNz+v05+UtE/uxeEsp93yyidHNpP2iKOI8eJC4SZP8vr6mQYrlBcMyQvIO0dE4RhFHokj745+6kLy/dU8/aFreL3dkHyiU9/sb2eddcFDyfnkj+6Tj6fL+to9bvos20nU/I/ta70mZvL9lTz+oJO+X2dMPXVze729kHyiW94cTUdRd+js9lrxcqj//AlEUgzYqizRWk5GnZg7n4v/8zGMLt/H3SyVHb7lO6K8u3Uu9082Np+eHtA5LXh7169aFtI9IYzZK0v5pz//E7M+28OyskQA4S0tBFAPG8vWfiqh3urn5zL4hrcOam8exFStC2kekMRkNPHXpMM5/7ifum7+Jl646CUEQcJaVg8cTMJZvLd9HvdPN788ILZaWvFxqf/gxpH1EGm/LyfQXfuaRz7c2Oc27ysrA7Q4Yy3dX7qfO4ea3E0K8xnPzqPr00079eemN5UUv/MzDC7fyr8tGAOA+dAixsTFgLN9ZsZ/aRhe/Hp/XEcvViRCCScST5Gpn/JP/ar8QHQX1DS22VKPab61qbiSoXrU/mJF9ELja35howVolvWc1q/2GunqIiVa92l/sghyT+tV+MQncR9Wv9vsb2ed9HEy1/1B1LD0SjrV9MyFW+/Os5RQ1tvWPCbXaL8REI9bVq17tt1R5fTzUrfYnCyacokv1ar8jIRpLtXRuqFntN9U2IMZ5b26rV+0vBdJVrPbvDLhFaHRVl/5u05RozcvHU12N+5Dfe5uaZ3hOEr87oy8frCnmx53Sx5Hr4EHAf8J/+JiDN5ft4/yhGQxIjw9pDZbcXJwHD+JpaAi8sYYZnClJ+z/dYGfRllIAnPbjsfRTSa2qd/LWsn1MHZJOQVqIsczLw1VWhueYj/90OxEFafHcfnZ/Fm0pY8FG6QaU037cCd3PeVnd4OTNZfs4a1Aa/UOMpTUvD/ehQ7ir5X0t1ipDshL5/Rn5fLy2hO93lAPHHfrxPyqyqs7JK0v2cuaAXgzKSAhpDZa8PDzHjuGq6Ih76uFjSFYiN5/Zl3nrbHy7Tfpa0uTQ7+e8rKpz8tIPe5g0MJXhOUkdsladTkh9eP4PbDk1QPt4k33ViVHHyLM1OabACXwwSMl+58Fnsq8CvpJ9NRDr6sOyXynZVx+Iumb2AAAgAElEQVSn6ArLfr3JvtqcSPbVJb3pZodOJOlGFf4TBmmmnsrd6bXErZMl2e/dc3/hq1tPR5QxN/6lH/dQ73Rz21kFIR/fkpfbIWO7OoKbJ/Zl0ZZS/vrJZsbmpiDIUEs8/90uahpd/N/E0Cc+NE092LeP6MLCkPcXSX47IY9FW0p5cMEWTunbA4stcCyf+XoXVfVOdc7LfKmq7SgqInp4+zPYOwNeaf8dH/3CV7dNwCRjbvy/v9tFTYOTu6cODPn4lnzv5+U+zDJGKmqZWyYVsHhrGXfN3cSXtyZhbYqln8/LJXuoaXRxx7mB+/x1OjcmgxtrYkM745/8y/vlyGm1JO/3O7IPQpD3t/XXV0Pe77+nH7Qm7/ff0w9ak/cHLH9pTN7vt6cfQpD3+4pR6PL+YEb2QeTk/b7PUjXk/e2P7APl8v6f/T4bOl3Vpb/bJfyNe4uIGTMmwqsJjSizkX/OHM6lLy3jTx9u4IkqO9J8bt9fzDfbqnjtpyIuHZVNv9TQqqjQcpxcZ0/4zUYDT84cxvTnf+YvH23kiRobCALmdN9z5bfYq3j9531cMTaHwszEkI/f5C5f1PkTftPxNonznlvK3XM38bdaqZLanrfErrIa3lq+jyvG9mZIlgqxzD1xjXf2hD/KbOS5K0Yy7fmfueOjjfy9zv/Nk32Vx3hr+T5mnpTDwPTQqvvQ8hqPHRfYdFHLWEwGnpk1gunP/8yfPtzA057jFf52bp7sLq/l9Z+KmDY8M2SlhI72sRrd9EqobWf8k395v7+eflDLzM+XnDY4eb//kX0QvLy//Z5+X+8gKHn/8cfqm/m1HNkH6sj7247s865RubzfX9IPbeMrV94vv6cflMn75SX9oEze7yuhVd/Mr3mMQpP3+x/ZB8HL+9tP+iF4eX8wPf0QWN5f1JhKnrUcXyP7IDR5fzjoyB5+QRCmAM8ihfy/oij+rdXzvYG3gKTj29wtiuIXgiDkIk3G23F80xWiKP7e37E6l24sBMyZGQhWa6c39fIyPCeJ+y8YzLfby9m0djum1FSf87kdLg9/+WgjPWIt3Hf+YFWO7Z1z3pmd+ptTmJnIAxdKsdy4ZjumXr0QLG2/9ThcHu79ZDNJ0WbumhJ6FRWOx1IQusx52S81jr+eN4jvtpezbvU2jL16YrC2NYhscLq54+NfiLUY+cs56lRRLTnZYDJ1mVgOTE/g/vMH8f2OCtat2oqxZ/uxvOX9dUSbjfzpHHVuwJnS0xGionAUdd7JJs0ZmJ7A7GmFLN1VyaqVWzAkJGCMi2uzncPl4bYP1hNjMXLveYMisFIdHR0dHZ2ug5Tsdw5E1BnJJ+emgSAIRuAFYCowGLhCEITWidp9SOPuRwKzgP80e26PKIojjv/xm+xDN6rwCwYDltxcGrvIF1iAq0/uw4YDR6lcup/YpBRai6Jdbg93fryR7aU1vHrN6CbH71AxxMZiSkvrMokVSLHcVFJF5bP7SYhPbvO8xyPy5482srH4KC/8alST43eoGKxWzJmZXSqW15zSh51lNRz+1wGS43q0MX4TRZF75m1iQ/FRXrxyFCmx6sRSMJux5OR0qVhedXIfdpTVcPifB0iJS/EZy4c+28JmWzWvXjNaNTf5E5+XXSeWs8bksMlWRfkz++mZ2Laty+MRmX08li9ffZLuzN9NsBhc9Ik/0vT35uOfAsn7/Y3s8/6+e8j7fcVIl/d7jx+yvN/PyD7vsoKR98se2QcK5f3yRvaBMnm/7JF9oFDe3/7IPtDl/b6OoRV5fydnLLBbFMW9AIIgzAGmA1ubbSMCXqlhImAP9mDdJuEHqS+1YcvWwBt2EgRB4O+XDmPt0zWsa0xk/txfuOPcAfSIs2I7Ws+jC7fy5eZS7jh3QJuZ3qFiycvrUsmAIAg8dvFQ1v2rhvWODObP+4XbzupPWkIUB6vqeXThNj7fdJC7pw7k/GH+xx8qxZKX1+lHRjZHEARmTytkzT+qWe9IZ+7cX/jzOQNIS4iioqaR++dv5qstpfz57P5MHRqGWHahm3qCIPDQtCGs+ns165zpvP/hRv56/iB6xlk5fMzB3XN/YfHWMm46s6/q17g1P4/6TZtV3WckEQSBR6YPYfnTtWxyJvDenPXcf8FgesRZKa9p4KEFW/l800F+d0Y+5xb6bunR6XpYBSe50S3THfnyfnkj+0CZvF9u0g9K5f1+RvY17VK5vF/uyD5f7yDYkX2gy/tDl/e37OmH7inv9z+yT9oyKHm/v5F9EIK8X17SD8rk/e3FSE15/wm0K+9XsYW/pyAIa5r9/RVRFF9p9vcsoLjZ30uAca32MRtYLAjCH4BY4Kxmz+UJgrAeKTj3iaK41N9iulXCb83Lo2bRYjwOBwYfku3OiAmRxNojZJ40gX+tLWHuuhJS46MorZY++e49byA3nh7auDNfWPv2pWr+/E49tqs1ZgMk1R4mfcQpPLmmhLlrbaTEWjh8TPrAuePcAfwuxJGGvrDk5VG3bl2XiqVJgOTaw2SNPJW/rSnh47UlZCRGU1bdgEEQuGvKQH5/RjhimcuxpUsR3W4EY9svU50RAyLJtYfpfdKp/H2DjfkbbGQlRWM7Wo9REHjggsH8enyu6se15OZR/dUiPI2NPlsJOiMGAXrWHqJ27HCe+OUgn260k5UUjf1oPR4R7jt/EDeclhfpZero6Ojo6Oh0NKKqPfyVoiiO9vO8rwO1vt9wBfCmKIr/FAThFOAdQRCGAAeB3qIoHhIE4SRgviAIhaIotntnpFsl/Ja8fPB4cO7fj7UgdFdwLeCqqACXizMmDOOrSRP4eK2N8uoG0hKjuOrkPmQlhWesjbVfX2lsV2kp5nZM2TobropKRKeT0ycM5btzz+DdFfupqneSGG3mmlNyyUmJCctxLXm5iHV1XSuWlVIsx582hB/OOZOP1hZjO1JPZlI0M0ZlqWIe6Qtrfj6i04nTZsPSu3dYjtHReM/Lk08p5KvJp7NoSynbDlZz2egczh6cFjZjOUteHng8OPbvJ6p/5zbn9OKpqkKsq2PMyYV8PmUCX20uZWdZDTNGZTNteEbYzksd7WIR3PSN8t1jGil5v38TP+/eTjyWL+9vaeIH6sj725r4gRryfn8mft7X6vL+UOT9LU38QB15f9sqP2hZ3u/fxK/lUZTJ+1ua+IE68v62Jn6tHwcn7w/UAqHL+1WnBMhp9vds2kr2bwCmAIiiuFwQhCigpyiK5UDj8d+vFQRhD9AfWEM7dLOE/7iLd1FRl0n4nU1j5KQvq2qM5JKDtZ80kq5x9+4uk6Q2nxvfp0csf1XJ5DAQJ2K5p+vE8visc0tWFrk9Y7nj3I45L09M49jbZRL+pvMyK4sB6fEMSO+YpPTEKNN9XSbhdzYbu9mRsdTRLhbBTY65/RTHv7y/ZdIP6sj7g+nph8jJ+/2P7PPuTDvyftlJP2hC3u+z3qiKvN9XQhu6vD/UkX3SOjpO3t+2px+0LO8PpqcfZHweyWiBCEbe7z/pB+Xy/jDTcWP5VgMFgiDkATYkU75ftdrmADAZeFMQhEFAFFAhCEIv4LAoim5BEPKBAsBvP2u3cekHsOTmAuDY23X6pZ0yZp2HA0uzJLWr0DwZ6Ei8N58ad+/u0OOGk0jFsilJ7UrXeKTOy7xcgC5lguiweW/qZUV4JTo6Ojo6Ojpao6Nc+kVRdAG3AIuQRux9KIriFkEQHhYEYdrxzf4M/FYQhI3A+8B1oiiKwOnAL8d//zHwe1EU/d5R61YVfmNc13OXdx48CHR8MmBKTsbYoweNu3d16HHDyYnEqmOTAVNyMsaePWnc1YViGaEbUSfOyy5088QWmfOyK07jcHmv8ayOPS91tItJgCxT4Lq4b3l/axM/0OX96sn721T5QRV5v3wTP1Am75dX5Qdl8n5/Jn4QirzfV/NA6PJ+/yZ+ELy8v/0qPwQv7/d1lmpZ3t/WxK/5+lo/ViDvb2Xi13pPwcr7ZZv4gTx5fxdCFMUvgC9a/e6BZo+3AuN9vG4uMFfJsbpVwg9dz13eabdhTErCEBOe/nJ/WPv162KJlRRLY1xshx/bWtCviyX8x8/L2AjEsn8BjTt3dvhxw4XTbsOYmBiR89KSl0fj3q4z9cBptyPExGBMSor0UnQ0ggGBXkaQkyK3lfe339MPIcj7QxzZB7q8vyWt5f1B9PRDYHm/zJ5+UCbv99vTD9qT97fq6Qdd3n8C7cr75Y7s8/5Uv6cfZMv7w4jYcZL+DqVbSfpBGjXlKCpC7CL/ok67vcOrqF6s/frh2L2n68TSZsecFRmpr7WggMY9exA9nsAbdwKc9sjFMqp/fxp3725ZNevEOO12TBGqSHe189Jhs2HOzOgy0zB0dHR0dHR01EGk4yT9HU33q/Dn5uGpqcFdWYmpV69ILydknDY71nz1x5vJoas59TtttiYDvY7GWlCAWFeH027Hkp0dkTWoidNmw9pX/XGQcrAWFCA2NOAsLm7y7ejMOO32iL2PqAH9pfOyuBhLnz4RWYOaRPJGlI42MSAQJ1gUzXv2yvvbmvhJezyBLu+H4OX9fqv8oD15fxAmfhA5eX/bKr/3mVDl/S1N/KSHasj75VX5QZm8v70KdneT9/tSHakj729p4td83b7xL+/XCY5uFz3rcbfphh07ievkCb8oijhtNuImTIjI8buSU78oijjtduJOPz0ix2+K5c5dnT7hj3gsvdf4rl2dPuGXrnE7cePbtHB1CNYBAwBo2LGjSyT8Lpud6OHDI70MHY0RzPgnJSP7QJm831/S7/3ZHeT9rXv6QS15f4gj+8CnvD+YkX0QOXl/255+7xFClfe3P7IPgpf3yx3Z530XcuX9gRJaXd6vLXl/WBEBDVbn1aDbSfqjBkpfYBu3b4vwSkLHfegQYkNDxCpWlmZJamfHffhwRGPZ5NTfBfr4m2IZwVYTBKFL9PG7jx5FrK+PbCwNBhp3dIFY1h7DXVUVsVjq6Ojo6OjoaBtRVOeP1uh2FX5jUhKmjAwatu+I9FJCxjvr3JwdmSTVlJyMKS2Nhu3bI3J8NWmKZYQSfmNcHKbMjC5hgtg07SBC56UhJgZzTk6XuBHldeg3RShJNURHY+nTh8adXeDz0u4dyacn/DonEI8PXfY979l/XbytiR+oIu9vbeIHqsj75Vf5Wx4woLzfT5UftCjvb23iJ/0uVHl/GxM/UEneb2yzvabl/a1N/I7vKlR5fzAmfiBD3i+jgh2MvF92lR80Ie8PZCoavLzfl+ooeHm/TnB0u4QfIGrgQBq6QIU/0kkqQNSgQTRs2xqx46uFFmJpLSigcUcXSKxskU+suopTvyZiOWAADVu2ROz4auG9EWXRe/h1muFGxCm6fI9/ipC8X25Pv/en+j39oEzeL6+nX9pavrzfV6qiZXm//5F9zbb3g295f/s9/dLxgpP3+4pvd5T3+xvZ531NMPJ++T39oEze337SD8HL++V4jGhC3h9uNFidV4NuJ+kHsA4cgKNoH56GhsAbaxhHiTcZiGDCP3gwjr1FeOrrI7YGNTiR8EcusYoaPJjGPXs6/Xl5Ym58BJPUggIc+/d3/lhqIEmNGtAfZ3Ex7tpjEVuDGniv8UipJXR0dHR0dHS0jDoO/bpLv0aIGjgI3G4ad+0meuiQSC8naCI5N95L1OBB4PHQuGMH0SNGRGwdoeKweWedd4gtiE+iCwul83L79k4dS6fNhiE+HmNCQsTWEDVgoHRe7tpF9NChEVtHqDjtdgwxMRgSEyO2Bq9xX+OuncSMHBmxdYSK025HMJsx9ewZ6aXoaAi3CLWin3nPEZD3+5LTqiPvD8bEr+UBfcv75Zn4gTJ5f2sTP+9jzcr7W5n4eR9rVd7f2sTP+1iX96sj7w/KxA8Cy/tlmviBMnm/PxM/CEXe336VH4KQ9+sERfdM+AcNBKBh+7ZOn/CbI+zoHjVoEAAN27Z1+iQ10uO6ogoLAajfsqVzx1IDo8+ihkjXdf2mTZ0+4TdnZUZ0bnyUN+HfsaPTJ/zmzEwEQ7cUtum0gxMDhz0en+OfdHm/lwDy/tY9/aBpeb/ckX2gUN7vb2Sfd8FByfvljeyTjqfL+9s+bvku2kjX/Yzsa70nZfL+YEb2QUB5v8yefuiq8v49AbcIiS4q6e+WCb85OxtDTAyNndy4z2mzNY0gixSmzEyMiYk0bO3cffxOmx1rfn5E12BKT8eYkkLDls4eSxvm3r0jugZzVqYUy02bI7qOUHHabBFt2YFm13gn7+N32uwRbdnR0SaNoolSV4zP8U+Bqv055kMUO3u02Weo1X4hOgrqG1psqUa131oFjYnqV/uDGdkHgav9jYkWrFXSe1az2m+oq4eYaNWr/cUuyDGpX+0Xk8B9VP1qv7+Rfd7HwVT7D1XH0iPBRwtYiNX+PGs5RY2pbXYbarVfiIlGrKtXvdpvqQJHovrV/mTBhFN0qV7tdyREY6mWzg01q/2m2gbEuKjjv1Wr2h8mRDQpx1eDblnqEAwGrAMHduokVfR4NFGVFgQB6+BBNGztvCaI0qxzbcQyqrCQhs2dN0ltimWE+6QFQSBq6BDqN/0S0XWEirfCH0kEQSBq+DDqN2yM6DpCxWm36/37OqriK9lXhfrweI+cSPY7B95kX3ViosOy2xxT4AQ+GKRkv/PgM9lXAV/JvhqIdeHxoJKSffVxiq6w7Neb7KvNiWRfJ5J0ywo/QPSwYRx57z1EhwPB0rk+TAFclZWIDkfEkwGAqEGDOfLOO4hOJ4LZHPgFGqNpbrwG3LujCgdzaNkyPA0NGKI634ekp6oKT12dJs7L6KHDOLZkKe7aYxH1uQgWd20tnurqiN88AYgeNpzKpT/hrq2NqM9FsHgaGnBXVuoO/TptcHhM7HP2xNf4p0jJ++XIabUk7/c7sg9CkPe39ddXQ97vv6cftCbv99/TD1qT9/uV9oPm5P1+e/ohBHm/rxiFLu8PZmQfRE7e739kX+tjK5X3hwFd0t+1iB45ksNvvknD1q2dsl/a6zhtiXAPP0hJquh00rB9R6f0RNDCSD4v0UOGdGrjPocGxsh5iR46BESRhq1biB07NtLLUYwWph14iR4+XIrl5s3EnnxypJejGKf9IKCNWOpoi0aPqVXlsFKBvF9e0g/K5P3+evpBLTM/X3La4OT9/kf2QfDy/vZ7+n29g6Dk/ccfq2/m13JkH6gj7287ss+7RuXyfn9JP7SNr1x5v/yeflAm75eX9IMyeb+/kX2glplfy5F9ELy83//IPghe3t9+0g8hyPvrGxCioxT19EMk5f26pL9LET1SSqbq1m+I8EqCoykZ0ECSGnPSSQDUrV0T4ZUEhxZG8nlpMu7b3Dn7pb1j5LRwXkYdN+tr2LQpwisJDk3diBomxbKzyvqbzks94dfR0dHR0ekwhOjOp1btinTbCr85NRVzdjb169bBr6+L9HIU4ywpAbTxBdacni7Fcu1auO66SC9HMU4NVaVN6emY0tOpW7OGlKuujPRyFKOpWKakYM7Kor6TGvdpKUk1JiZiyc+nfmNnTfi1c/NER1s0ekwU1bfuxZcp75c5sg+Uyfv9jezz/r57yPvbH9kHurw/ZHm/n5F93mUFI++XPbIPFMr75Y3sA2Xyftkj+0ChvL/9kX2gy/t9HUMT8n5d0t/1iB41kmPLlyOKouKxV6IoUrNoMXXr1iLW19Pzpps69Iu502bDmJKCISamw47pj5jRo6n98cegYglQvXgxdStWgMlE8syZWAsKwrBK3zjtdgyJiRjj4zvsmO0hCAKx48ZSu2QposcT1AixY8uWcXT+fCzZ2cRNnkz0cdVAR+CdG29MSuqwY/ojevhw6lavDvq8rFu3jiP/ew9zVhaJF1+ENS8vDKv0jdNuR7BYMPYIkzGYQqKHDaN26dKgPy/rVqyg+suvEExGetx4I+b09DCttC1Omx2MRkyp4TF90um8uNwG9tWktPNspOT98kb2gTJ5v9ykH5TK+/2M7GvapXJ5v9yRfb7eQbAj+0CX94cu7w9mZB90NXm//5F90pZByfv9jeyDEOT98pJ+UCbvby9Gwcr7w04XTfi7raQfIGbUKNwVlU3VcrmIHg9lTzyB7bbbOPrRx1R9tpCii2dQu/SnMK20LU6bDbMG+ve9xIwZjfvIERx79yp6nehyUfbE37D98VaqFnzG0TkfsO/Kq6hbvz5MK22Lw2bThJzfS8zYcbiPHKFx125FrxPdbg7Ons2B62+g9sclVL70MvuvvIr6DR3XtuIdfRbJufHNiTnlZFwVFTh2K4ylKHLw/vvZ/6srqV26lEOvvcbeCy7k2LJlYVppW7Q2Nz56xHDchw7hPHBA0etEUaTsscc58OvrqV64kKMffcyec6dQ/fXXYVppW5x2O+a0NARTt77HraOjo6Ojo9MN6dbffqJHjgSgbu1aLDk5sl9X9re/ceTtd0i+5mrS7roLZ3ExJX+8Fdvtt9N30VeYOqAi57TZsA4eFPbjyKWpj3/1Gqx9+8p+XfnTT3P4rbekWN5xB67ycvZffz0HbvgN+QsWYMkOvwTXabN1aOU2EDHjxgFQt3IlUQP6y35d5X9e5OicD0i59lp63X4bntpa9v3qSopvupncD+Zg6d07XEtuQkpStSObjjv1VEBSPShRjRx66SWOfvQxKdddR68//gF3bS0Hrr8e2x13kjdvHua08FeKtTDesDmxp5wCQO1PP5HSp4/s11U+/wJH3n2X5KuvJvXPf8JVeQjbbbdRet/9xIwYgalXr3AtuQlnSYmmbpDqaAeP20BZtT91V/vy/rZVftCyvN+/iZ93bycey5f3tzTxA3Xk/W1N/EANeb8/Ez/va3V5fyjy/pYmfqCOvL9tlR+0LO/3b+LX8ijK5P0tTfxAHXl/WxO/1o+Dk/cHaoFQKu8PKyIgaqNgpTbdOuG39uuHMSWFY0t/Iumii2S9pnbpT1Kyf+WVpN1zD4IgYMnNJeuZZ9g7bRrlTz9N5qOPhnXdoseD024n/uyzwnocJZj79MHYqyd1a9eSPOtyWa+p/flnDr/2OkmzLif93nul/WRl0eeNN9gzZSqVzz9P5t+eCOeyj8+NtxM3/rSwHkcJluwszNnZHFu1kpRrrpb1mtqlS6n8z39IvPhiUu++C0EQMERF0fvVVyi65FLKn3yK7H8/F+aVS0lqzEjtTBcwZ2Vh6dOH2mXLSLn2WlmvqV2yhIpnnyNh2oWk3nWnFMuYGLKfeYaimZdx8L776P3qK2FeuXTzJGrSxLAfRy6WPn2kWC5ZQsqV8vwlji1bRuULL5A4YwZp9x7/vMzOIvMff6fooospffgRsp57NuyKEEdJMXFnnBHWY+h0UtwCddVy+kPbyvtDHdkH7cn7Wyb9oI68P5iefoicvN//yD7vzrQj75ed9IMm5P3BjOwDOfJ+Xwlt6PL+UEf2SevoOHm//5F93me0I+8PpqcfZHweyWiBUCLvDzeiLunveghGI3ETz6R2yRJEHx/6rXFXVXHwvvuw9OtL6p13tPiSas3PI+Waa6iaOy/sDuuuigpEp1NTBlRS7/nJHPv5Z0SXK+D27upqDt59D5Z+fUm7664Wz5kzM0m+8kqqFiygcdeucC1ZWseRI4j19ZqKJUDMuLHUrV7T8ktbO7hrazl471+xFhSQ/sD9Lc5LS58+JF99FTVff02jQlm7Utw1NdLceI3FMnb8eOpWrcYj4xr31NdT+tDDWPr2JeORR1pe4/360fPmmzi2dCkN27aFc8l46utxHzqkqQo/QOwZp1O3YiWe+vqA23rq6jh4/wNYcnPbnJfW/Hx63nILNV9/LRmnhhFPfT3uikos2fJVXDo6Ojo6Ojo6XYVuXeEHiJ88maq58zi2ejVx48f73bb86adxVVaS+8ILGKzWNs/3vPkmjn78MYfffJOsp54M15JPOKFrTKIaf+45VC9cSN2qVcQel1K3R8Uzz+A6dIjcl17EEN3WiKPHjb/l6EcfUfHv58l+7tlwLblZLDWWpJ5yqnTzaMOGpnaJ9qj89/O4KivJfuF5n7FMueYaDr/5FpWvvELWP/4RriVrylW+ObHjT+XIe+9Rv34DsePG+t228qWXcdps9H77LZ/XePLll1P54kscfvMtMv/+t3At+cQUjpzwt2EoIe70Mzjy9jvUrVoVsGJe8exzOG02+rz7DoaotmN5Uq66kkOvvsqR9+cEPMdD4UQstfV5qaMNBDcIVXLnPbeU9/s38YPg5f2tTfxAl/erJ+9vU+UHVeT98k38QJm8X16VH5TJ+/2Z+EEo8n5fzQOhy/v9m/hB8PL+9qv8ELy839dZqmV5f1sTv+bra/1Ygby/lYlf6z0pl/eHmS5a4e/2CX/sqaciREdT++23fhP++i1bOPrBhyRffRXRQ3y7nhvj4ki84HyOfjwXd9V9GBMTw7Lmpi+wGqukxk2YgCEmhuovv/Kb8Ndv2sSR9+eQfNVV7TrIm5KTSbr8Mg6/9Tauw4cxpbTnohwaWpp13pz4iWciREdT9ekCv8lQw44dHH73XZIuu4zoYcN8bmNKTiZ51iwOv/02qbffjjkjIyxr1mosY8aNA7OZmm+/8ZvwN+7Zw6HXXydx+nRix/rezpiQQNLFF3Pkww/p9ec/YQ6T67ujuBgAS29tVaVjxoyWPi9/XOI34W/YsVM6Ly+/nJjRo31uY4iJIfGiizg6Zw6ue+8J2zXuKJY+L5X4tOh0HwQ3WI4qHf9UGXhkH4Qg72+/px9CkPeHOLIPdHl/S1rL+4Po6YfA8n6ZPf2gTN7vt6cftCfvb9XTD7q8/wTalffLHdnn/RnxpL+L9vB3a0k/gCEqitjxp1Lz7XeI7TRuiB4PZY88ijElhV633OJ3f4kzLkF0OKj+4otwLBfQ1qzz5hiiooibNImar79GdDp9biO63ZTOfghTz570uvWPfveXOG06uFxUf/FlOJYLaDiWsQUQSe4AACAASURBVLEknHM21V9+iaex0ec2osdD6eyHMCYkkHr7bX73l3zFLHC7qf7yq3AsF2h2I0pjyhNjXBzxZ02m6tMFeBoafG4jiiKlDz+CITqa1Dvv8Lu/lGuuBpeLox9/HI7lAuA47oRv1liSarBaiT31VKq/XtxuG5QoipQ9+ijGuDh63Xar3/0lz7oc0enk6Ny54VguAM4S6eaJ1mKpo6Ojo6Ojo9MRdPsKP0DCOedQ+823HFviu2p19IMPqN+wgYzHH8eYkOB3X1GFg7EOHMjRufNIvuKKsKzXYbNh7NnTp0w20iRMnUL1woUcW7GSuAltjfCOzJlDw5YtZP7zKYxxcT72cIKoAf2xDhhA1WcLSLlKnkmYUpw2G4aEBIzx/lyaI0Pi9OlUfbqA2u+/J2HKlDbPV30yn/r166XzMsDce0vv3kQNGUL1l1/S4/pfh2W9jv0HMMTGYkxODsv+QyH58sup+fIrqr/6yqdBZ/XChdStXEn67AcDTtmw9OlD9MiR1CxaTK+bbw7Lep3FJRji4gL+u0aC5FmzqP32W6o+/4Kki33EcsEC6lavlmIZ4Fyw9u1LzNixVH08lx6/+U1YzPscxSXSeanBWOpEHoMbLFXga95zQHl/KxM/UEfe39bE78T6JHR5PwQv7/db5QftyfuDMPGDyMn721b5vc+EKu9vaeInPVRD3i+vyg/K5P3tVbC7m7zfl+ooNHl/eBF0SX/XJWHKFCqefY6Kfz9P7Omnt/jS6SwtpfypfxJ76ikk+vhy2xpBEEiacTFljz9B4969WPPzVV+v02bDojHZtJfY007D2KMHlS++SOxp41vE0lVRQcUzzxJ76ikknHeerP0lTptG+ZNP0lhUFJbReY6SEs1J0L3EjBuHKS2Nox9+SPy557Y8L8vKKH/ySaJHjSLxoumy9pcwdSrlTz6J48CBsIzocxQfwNynd9gd14MhZtw4LLm5HP3gwzYJv7O0lNJHHyNq+DCSLrtM1v4Szj2Hsif+hmPfPiy5uaqv11F8AHPvHE3GMva08VgLCjj8xhskXjS9zXlZ+tjjRI8YQdLMmbL2l3DeVEpnP4Rjzx6s/fqpvl5ncTHmHG3GUifyCG6wtMhclcj72x/ZB8HL++WO7ANl8n5/Sb/3Z3eQ97fu6Qe15P1Cq7+rI+8PZmQfRE7e37an33uEUOX97Y/sg+Dl/XJH9nnfhVx5f6CEVpf3hyLvDxMiXbaHv9tL+gEEi4WeN/2ehs2bqf3hh6bfexobsd95F6LHQ/pDD8n+whh/ljQur/b778OxXJwlNs0mqQarlV633Ur9unUt2ho8Dgclt96G6HCQdt/9smOZcMH5IAhUfxkeWb/zQHGHzKcPBsFoJOXaazm2bDnVn5+Ipeh0Yrv9T3gcDjIeeRjBIO8yTpgqqQTC1SLh3H8Ai8ZM5rwIgkDS5ZdTv349Nd9+2/R70e3GftfdiE4nWf/4h+xYxp99NgDVi78Oy3qdB4o16yovCAIp111H486d1P74Y9PvRZeLg/fdj+hwkPm3JxCMbcdB+SJu4iQAar75NsCWweEoKcaiG/bp6Ojo6OjodFP0Cv9xEqdPp/LlVyh9+BFMqalY+uRiv+su6latIvMff1dk+GTOzMQ6cCA1339PjxtuUHWdotuN8+BBnxJvrZA0YwZH3n+f8iefwtq3L+b0dEoffpj6devIevpfWPPlV+rNaWlEDR3KsR+XqC6fFl0uHCUlTcmbFkm59hpqFi2i9JFHiBo8CFNKCqUPP0L9unVk/lOKr1zMmZlEjxxJ9aJF9Pz971Rdp+hy4bDbiT/nHFX3qybJV8yieuFC7HfeRe4HczClp3Pw3r9St3IlGY8/jqVPH9n7MmdmEjVsGDWLF9Pzxt+quk7R7cZpsxF/1mRV96smCRdewKFXXsF+x530fuMNrAX9sP35zxxbupT0Bx9QpHowp6VKsfz2W/XPS1HEWVxC3ITTVd2vTtdBcItYq3z7jkdK3t/WxA9Ukfe3NvEDVeT98qv8LQ8YUN4foKCnPXl/axM/6XehyvvbmPiBSvL+tjdlNS3vb23id3xXocr7gzHxAxnyfhkV7GDk/bKr/KAJeX8gU1Hl8v5wInRZ0z494T+OYDaT9czTlNzyB/bNugI8HnC7Sbv/PhKnTVO8v7iJZ3Lo5VdwHz2qau+o82ApuFyaHjElGI1kzJ5N8W9vpOjiGQgWC2JjI71uv52EqVMV7y/u9NOpfOEFXEeOBOwJVoLz4EFwubDkyk/0OhrBaCTjiScouvRS9p53PkJ0NKLDQa9b/0ji+ecr3l/cxIlU/OtfOMvLVXWYd5aWgtOJpY82K/wgmUpmP/9vii65lL0XXIhgtSK6XKTeeaesdp3WJJxzNuVP/ROn3a6q6aOrrAzR6dTcSL7mGCwWer/xOvuvvoZ9s2aBKEqfl3/9a1DeJfGTJ1Px9NM4y8owp6Wptk5XRQViY6OmPy91IovgFrFUN0uA2yS0XUfeL7en3/tT/Z5+UCbvl9fTL20tX97vK1XRsrzf/8i+Ztv74f/Ze/Pwtq7zwPt3AWIHQYKLSC2k9sWSZVmWLVmWHdtxEjvppNkmbdJplk6WttPOtGmnM52ZTj9//Z6my9O0zdJM6zpNmmTSJE0TJ02ctXYSb9HiRbZWSyQlUaRIihtIAiDW8/0BgiKxXFxcXAD3Auf3PHoEkXc5OL4Xxnvf33nfwnp/8TX9mfPp0/sLzW8z6v1qLfuy++jR+7Wv6Yfy9P7iQT/o1/u11BgpX++vIlLpb3w8e/aw+V++RvCd76Tzgx9k45e+RMd/0FcsrvW++yCdZuGppwwdY/zSJQCcGzcZelyj8dxyC1t/8H06P/Qh2t7+NjZ/85t0/eqHdR3Lf+9rQAjCTz9t6BjjlzOV0M2q9GdxbdnM1u98mzW/918JPPggm7/+L3T9+q/rOpb/7kzryfAzzxo5RBLLVeXNPZeOtWvZ+MUv0v2Rj9D+jnew8fP/SOd//BVd67v9990HwMIzzxg6xhtt5MwdpDrWrWPjFz5Px3vfS+cHP0jfo4/S8Z5f1nWsrM2w8MQTRg5xuXOEbMknkUgkEomkWZEZ/hxaOjro/cP/XfFx3Hv3Yu/qYuHJJ2l785sNGFmG+OVLAFUpFGY09rY21vzORyo+jnvPHuwdHSz85KdVmUtHv3kz/Fkca9casjzEtWsX9q4uwk8/XbDCul7iV5b6xps4w5/FtWUzLp0Pn1bi3LqVlp4ews88S1BjgTotJIaXHp6Y/EEUZIL+nhJtDLXg3LIFx4YNLDzzjKHdTZbbG5qsVaTEPCjpNI65OMX7PTeO3l9IpzVG79dTxG/1CQvr/dqK+EF5en9uEb/sa9Pq/TlF/LKvzar35xbxy76Wer8xer+uIn5QWu/XWMQPytP71Yr4Qfl6f9Vp0Ay/DPirhGKz4b/7bhZ+/GNEOq25GFgp4pcvo3i9tKzpNuR4VkCx2fDfc09mLlMpzcXASpG4cgXF42m+uTxyhIWf/MTQuYxfuYLidNJi4DIBs6MoCr677mLhiScMnsthaGnB0dtryPGsgKIo+A4fZu5730MkkygtxvyvKX7pErS04JQBv6QYKYF9fsW3c5XAX+r9haii3p+7ph9MrfdrbdkHZer9ai37sgPWpfdra9mXOZ/U+/Nfr34Xeeq6Ssu+3COVp/evXtMPBun9Gtf0Q331/qojA35JuXgPHSL02GPELlzAvXOnIceMX76Ms9+crc+qie819xD65jdZPH0azy23GHLM+OUrzTmXd9+dmcszZ/Ds3WvIMRPZNnIGPdiyCr4jRwh94xuGzmV8+AqOdesMC3qtgu+uw8z+8z9n7vF9+ww5ZnzoEs4NG1AcjtIbS5qTdBplYVGl/VPxbP/QnAdvIKpycH3Z/j7HFMOJzryjVZrtVzxuiC6u2tKIbL8rBLE247P9elr2Qelsf6zNuVSo0dhsvy0SBa/H8Gz/cBL6WozP9ot2SM0an+1Xa9mXfa0n2z8156MzEM5/MxVm+ze7JhiK5ScrKs32K14PIhI1PNvvDEG8zfhsf1BpISGShmf74wHPcp0UI7L9En3IOawivkMHAYgcPWrYMavV99vs+A4uzeWxY4Yds1r96M2O78hdoCiG1kSIm7glXzXx3XUYgLCB6/jjly6bupBktfDeeScA4eeeM+yYzfp5KakN6sG+fgoF+4YQXSy9jQ5uBPvWIBvsG47XU5XD9rWUDuD1kAn2rUPBYN8ACgX7RiAi1fl8yAT7xpMQyaocd3VRVJMjyFTpN+KPyWiuFFKNcaxbh6Ovj/DRY3S8970VH08kEiSujhB4qPxK91anpbsb59athI8eo/ODH6z4eCKVIjE8TOtr7zdgdNaipaMD186dhI8e0138byVCCOJXr+I7fNiA0VmLlo4O3Lt3E37mWbp+7dcqPp5Ip4kPDS0/4GomWoJBXLtvIvzsc8bN5eXLTXldSsognYZIpIjQrK73a17TD6bQ+7XotGbS+1Vb9kEFen9+fX0j9H71Nf1gNr1ffU0/mE3vV1X7wXR6v+qafqhA7y80R5Xr/Xpa9kF99P5qokilX6IH78E7mP/hjwxZ45sYGYFUqqx+4Y2E79BBZh/7JiKRqFjRTVwby7Q+a8IMP2TmcubLXyEdj2NzVvaUPzk+johEcFigYF818B6+k5nPf4F0NIrNU1mGJzk2hlhcxLl5s0Gjsxa+w4eZ/vwXSEci2Lzeio61PJcywy9RQwhEdFGl/ZMRa/qhPL1fW9AP5en9amv6wahifoWWQOjT+9Vb9oF+vb/4mv5C70CX3r/02vhifqtb9oExen9+y77sGMvX+9WCfsifX616v/Y1/VCe3q8t6Ify9P5CAa3xxfxWzlFler96yz7Qq/fHAzacyx8Aq4N+KF/vl+jDWh6WBfEdOkR6bo7Y+fMVHyt++TJgjQr91cB78CAiEmHx9OmKj5W4sjSXJm9vWC28hw4hYjEWT56s+FjxwUEAXFu2VnwsK+I7dAiRSBB98cWKjxUbHALAuaVJA/47D0MiQcSAuVxuYdqkD0+aFUVRHlIU5byiKBcVRfn9eo9HIpFImhmntqd95kEY9MdkyAx/lfEeOgRA+Ogx3Lt3V3Ss5S+wTbi+FzIBP2Tm0nPrrRUdKza0FFg161weOJBZx3/0GN477qjoWLGBpYB/6xYjhmY5PLcdALud8NFj+O66q6JjxZeuS1eTBqne2/aD3U7k2HH8R45UdKzY8uflpsoHJrEEiqLYgb8BXg9cBY4rivItIcSZYvsIIRCx2I1jUExoLpTpX13EDwzS+zW27IPy9H61ln3ZnzeH3l9ojqTenz1/xXq/Ssu+7LD06P2aW/ZBmXq/tpZ9UJ7er7llH5Sp9xdv2QeNr/dL9CED/irj6OnBuXEjkaNH6fyV91d0rPjly9haW7EHg8YMzmK0dHTg2r49UwSxwj7q8YEBbH5/U7WRW4m9rQ33TTdl5vI3f6OiY8UGB7AFAti7ugwanbWw+314br7ZkOKc8aHBzD3epHNp8/lw37zHkOKc8aFL2JqshamEg8BFIcQggKIoXwbeAhQN+EFdp20svV9byz4oT+/XGvRDuXq/Ssu+5UOWr/drbdlX6B3obdkHUu+vXO9fvaYfmlPvV2/Zl9lSl96v1rIPKtD7tQX9oFHvl+hCKv01wHvoEJETJxDJytafxIaGcG7a1HRt5FbiPXSIyIsvIgr8j7UcYhcHcG3d2vRzGX3pJdKLlVVujg8M4tqyRc7lqVOkw5VVEY4NDeHcvLmp59J38GBmLiOR0hurkK3Q38xz2YSsB4ZX/Pvq0s8kEolEIimJIoz5YzZkhr8GeA8dZParX2Xx7NmKenXHLl7Ef89rDByZ9fAevIOZL36R6KlTeG+7TfdxYhcv4m/CCv0r8R46yPRnP0v0pZfwLbVE00NscBD/vU1+XR46yNQjjxB54QX899yj+zjxwaGK/ls0At6DB5n6+0cz12UFSyTily5V9HkrsSSFnu7kffVSFOXDwIcB3Hg16bSFM/2FMtiV6/35WX4ws96vXsQve7Qbr7Xr/auL+IExen9+ET8wQu9XK+KX3Vfq/ZXo/auL+IExen9+lh/MrPerF/FbfZby9P7VRfzAGL0/t4hf/uty9f4Sb6NSathST1GUh4CPk3nrjwoh/jTn9/3APwLtS9v8vhDi8aXf/Q/gA0AK+C9CiO+rnUsG/DUgu0Y6cvSo7i+gyZkZUtcncW3fbuTQLIf3jjtAUYgcPao74E9OT5Oansa1dZvBo7MW3ttvX1ovfUx3kJkKhUhNTuLa0pzr97N4b7sNHA4iR4/qDvhTC2GS4+NNX2TOs/+2TE2EY/prIqRjMRIjI7S9+c0Gj05icq4CfSv+vQEYzd1ICPEI8AhAQOnIfH3UoNPWSu+vtGUfFNP7Vwf9YIzer2dNP9RP71dv2Zc9mHn0fs1BP5hC7y8YLhmi9xcKaCvX+ytt2ZcZR+30/vw1/WBmvV/Pmn4o/nlEjIZAY82ZPwC+KoT4P4qi7AYeBzYtvX4XsAdYB/xIUZQdQogURZBKfw1wrFmDc8sWwkf1r0uNXbgA0PQBf0swuNxDXi/xgQEAXNuas6p8Frvfj3vPnsquy6WCfc4mD/htHg+efbdUdl1mi8w1aYX+LHa/D/eePUSOn9B9jNjFi5BO49qxw8CRSSzAcWC7oiibFUVxkvlC9K06j0kikUgkVsCoCv3aLITlmjNCiDiQrTmTO6LA0us2bjzAfgvwZSFETAgxBFxcOl5RZIa/RngPHST0zW/p7iEvA/4beA/ewexXvqq7h3zs4kUAXNuaO8MP4Dt4B1P/+HndPeTjQ9kK/c398ATAd/AQk3/7t6Tm57G3tpa9f3xw6UFUk2f4ofLrMnb+VQBcO2XA30wIIZKKovwm8H0yiaJ/EEKo9nFVFAUUW8F+z6X1/uJZftCv96sX8QP9en9uET+Qer9xen9elh8M0fu1F/GD8vR+bVl+KE/vVyviB5Xo/YUWD1Su96sX8QP9en/xLD/o1/sLXaVm1vvzi/itHF/u69J6f9Uz/MYtGehSFGVl5uKRJbssS6GaM4dyjvEw8ANFUf4z4ANet2Lfn+Xsq1qvRgb8NcJ36BCz//TlzNrz/fvL3j924QK2QEBWnCYzlzOf/wKLJ0/qaikXuziQqd7d21uF0VkL76FDTD36mczacx1t0GIDgyhOJ471si6W99Ah+PSniZw4Qev95deHWDx3HsXplG3kyCzdmXr0M5l1/IcPl71/7Px5FLcbZ39/FUYnMTNL6xsf17yDomBztBRs/1Q3vV+tZR9UoPcXX9MPFej9FbbsA6n3ryZX79exph9K6/0a1/RDeXq/6pp+MJ/en7OmH6TefwMT6v3aPih0Y2DBvUkhxO1qpyrws9yzvxv4nBDiY4qiHAa+oCjKzRr3XYVU+mvE8jr+Y8d17R+7cBHX9u2y4jRLa8+XesjrITYwgHPbNjmXLK09b2khoncuL17IVJW356/nazY8t+5DcTr1z+W5c7i2bdNlADUangMHwGYjclzv5+WrmbmU16VEIpFIJBLzoaXmzAeArwIIIZ4D3ECXxn1XITP8NaKlsxPX9m26esgLIYhduEDgTW+s0uishb2tDddNu5Z6dZffQz528SL+1zR3VfksNl9lPeQXz57Ff+Rug0dlTWwuF579+wnrmEshBIvnzuG//z7jB2ZBlutLHDuGHqdp8fyr+O+71/BxSRoQmw3F5SqYwS6l92vN8kOZen9OET8wRu/PL+KXO1ap94N+vV81yw/m0/t1FPGD+un9+Vn+7G8q1ftXF/HLvDRC79eW5Yfy9P5i1lGz6P1Vp3Yt9ZZrzgAjZGrO/FLONleAB4DPKYpyE5mA/zqZ2jRfUhTlL8kU7dsOqGabZMBfQ7wHDzH79a8j4nGUMtaeJycmSM/NyfX7K/AdPMTMl75EOhbD5nKV3mGJ5PR0pqq8XL+/TEbrf5R0OIzN59O8X2JigtT1Sdy7d1dxdNbCe+ggk5/8FKnZWezt7Zr3S05cJzU9jXvXTVUcnbXw3nEHM1/4AunFRWxut+b9kpOTpKamcO/cWcXRSRoGmw3Fc+P6yg1otei0xuv9xVv2gX69X2vLPihP71cL+rN/N4Pen7umH4zS+yts2QcF9X49Lfugfnp//pr+7Bkq1fuLt+wD/Xq/1pZ92XehVe8vVWOk0fX+qlOjgL9YzRlFUf4IOCGE+Bbwu8DfK4rykaWRvV8IIYDTiqJ8FTgDJIHfUKvQD1LpryneQwcR0SjRU6fK2i/2qizYl4v30EFEPE70xZfK2m/xlVcAcN+8pxrDsiTeg3dAKkXkhRfK2m/xdKYWlnuPDPiz+A4dAiEIl6mix86dBcB9065qDMuSeA/egUgkiL50sqz9Fs+fB8C1Qwb8EolEIpFIzIkQ4nEhxA4hxFYhxB8v/ewPl4J9hBBnhBBHhBD7hBC3CiF+sGLfP17ab6cQ4rulziUz/DVkeR1/mT3kF89kWjK6ZYupZby3355Z43vsGL47c4taFid66hQoCu7dMuDPoreH/OKZM5m53CWD1CyevXtRPB4iR48ReP3rNe+3ePYcAC6ZlV7Gu7SOP3z0Z2Xd48sPSGWFfokW7Ap4vSUL1JWqlm0FvT+/iF929BXq/blF/MAQvV97ln/1CUvq/SUES/Pp/blF/DI/q1TvzyviBwbp/fm5WFPr/blF/JYOVaner6eIH2jQ+zUUFdWj92vO8kNd9f5qoghDi/aZChnw15CVPeS7fv3XNe8XPXkS56ZNZSnCjY69tRX37t2Ejx2lm/+seb/FV07h3LIFu1+7ut7o2DwePLeU30N+8cxZnJs3l7UMoNFRnE68+/eXXRNh8dw5HH19utr5NSr21lY8e/cSfvZZ+K3f0rxf7Nw5Wrq7aQkGqzg6SaMgbDaE361pvbrU+wvr/VrX9Gf/Nn5NP5Sn92tb05/ZWrveXyhUMbPer96yb8X2KhTW+4uv6c+cT5/eX2h+m1HvV2vZl91Hj96vfU0/lKf3Fw/6QZ/eX1VEYxb0lkp/jfHddRfR558nHYmU3phMMa/oyy/j2bevyiOzHt5DB4mefJl0NKppeyEE0VOn8Nx8c5VHZj18hw6yePo0qfl5zfssnjkj1+8XwHvnncQuXCA5XfqLQJbY2bPSlCiA78gRFl85RWpW29dZyDwgdct7XCKRSCQSiQSQGf6a47/nbqY/+1nCx47Ret99JbdPjIySmpzEc6sM+HPx3XmY6c/8A5HjxzVV3U+OjZGanMS9d28NRmctvAcPwaf/j+Ye8snpaZLXrsmAvwC+Qwe5DkSOHSPw0EMlt0/NzRG/coXAW36++oOzGL67jzD56U8T/tlRAg89WHL75PQ08UuXaHvH22swOkkjIOwKqVZ34X7PqOv9xXTaZtP7C82RMXq/niJ+q09YWO/XVsQPytP7c4v4ZV+bVu/PKeKXfW1WvT+3iF/2tdT7jdH7dRXxg9J6v8YifqBV768yUumXGIHnwAEUj4fwU09rCvijJzNF6dy33FLlkVkP78E7UDweFn78E00Bf7ZYomevzP7l4tl/K4rLRfiZZzUF/Iunl+pKyIA/D/eePdh8PsJHj2oK+CPPPw9C4L3tQA1GZy08e/di8/sJP/uspoA/+uKLAGXVSJE0N8KukAgUbv9USu8vpdNKvd+ken/umn4wtd6vtWUflKn3q7Xsyw5Yl96vrWVf5nxS789/vfpd5H0eqbTsyz1SeXq/npZ9UFLv17imH8rR+6uHXMMvMQSby4Xv4EEWnn5K0/aLL7+M4nbLgn0FsLlc+O68k4Wf/AQh/gBFUV93s/jKKWhpwSXV6TxsLhe+w4dZePJJxP/6nyXnMvL8CbDbZbeDAigtLXhvv53wM88ihCg9l8dPoDgc0uIpgOJw4L3zEOGnn9Y2ly+8gOJwSKVfohlhh3jATqH2TyWz/Rqya3qy/UNzHrwBtaVq+rL9fY4phhOdeUerNNuveNwQXVy1pRHZflcIYm3GZ/v1tOyD0tn+WJsTVyjzno3M9tsiUfB6DM/2Dyehr8X4bL9oh9Ss8dl+tZZ92dd6sv1Tcz46A+H8N1Nhtn+za4Kh2Jq8w1aa7Ve8HkQkani23xmCeJvx2f6g0kJCJA3M9kv0IGewDvjuuYfE5SvEr1wpuW30pZO4b96D4nCU3LYZ8d/7GhIjI8SHhkpuG33xRdw7dmBzuUpu24z477+fxMgIsQsXSm4bfu45PHv3Yvf7S27bjPjvv5/ElSvEL14suW3k+HHct9xSVq/5ZsJ/5AiJ0VFt9/gLL+K++WZ5j0ssjXqwr59Cwb4hRBdLb6ODG8G+NcgG+4bj9VTlsH0t2uvMlEMm2LcOBYN9AygU7BuBiFTn8yET7BtPQiSrctyqIQz6YzJkhr8O+O+5m3Fg4Sc/peM9v1x0u3QsxuKZMwTf857aDc5iZFX+hR//BNeWLUW3Sy0sEHnxRTp/5f01Gpn18C8tMVl48seqRklqfp7FV07R9Wu/WqORWQ//a++Hhx9m/kc/wrV9e9HtUgthFs+cofNDH6zh6KyF//774f/9I+Z/8ANcv/ZrRbdLx2IsnjpF8L3y81KinbQ9N7AsQ+9XadmX3UeP3q95TT+YQu/XsgTCTHq/ass+qEDvz6+vb4Ter76mH8ym96uv6Qez6f2qaj+YTu9XXdMPFej9heaocr1fT8s+KKX3VwnZlk9iJM6NG3Ft38bc976nGvCHn3sOkUjgO3xnDUdnLRzr1uHavp2FJ5+k8z/+StHtws89B8kkvjL6zDcbjp41uPfsYeHJJ+n61Q8X3S5y7Bik03jvlNdlMRxr1uDZt4/5H/2bagvO6IsvQCqF9447ajg6a+Ho7cVz663Mfe/7dKkE/IunTiESCbl+X1IWGaUfirV/UtP7tbbsy/5t/Jp+jSkOJwAAIABJREFUKE/v1xb0Q3l6v9qafjCqmF+hJRD69H71ln2gX+8vvqa/0DvQpfcvvTa+mN/qln1gjN6f37IvO8by9X61oB/y51er3q99TT+Up/drC/qhPL1frWUfGFXMb3XLPjBG789v2Qfl6/0SPVjLl2ogAj/3c0Sff57E6GjRbRb+7QlsPh/eQ4dqODLr0fqGNxA5cYLEtWtFtwk/9XRmLvfvr+HIrIf//vuJnjxJ8nrxj/Xwcz9D8Xjw3HprDUdmPVpf/zoWT59Wvccjx45DS4u8LkvQ+tCDxM6dI37pUtFtFn78E7Db8R6QxQ8lEolEIjEDqx48WgGp9EuMJPCmN3H9rz/O3He/S+cHPpD3e5FOM//jJ/Hdcw82p7XWQ9Watre+hcm/+RtC//ptuj78obzfCyFYeOopfHcdlrUQShB40xuZ/NSnCH3zm3R+sLBmHv7Zc3gPHJDXZQn8DzzAxF98jLkf/IDO978/7/dCCOaffALPvn3YvN7aD9BCBN7wBib+9M+Y+/4PCtonQgjmvvtdfIcPY29vr8MIJVZF2CHetvIn2vX+QhlsY/T+1UX8wCC9X2PLPihP71dr2Zf9eXPo/cVb9oHU+yvW+1Va9mWHpUfv19yyD8rU+7W17IPy9H7NLfugTL2/eMs+MI/eX3VMGKwbQUUBv6Io7wQeBm4CDgohThgxqGbA2d+P+5ZbCH3nOwUD/sWXXyZ1fZLWB15bh9FZC2dfH54DBwg99hidH/pgXiXv+MWLJK9dw6eiA0syuLZswXP7AWb++Z/p+MAH8uYyNjBA/OIA7e/493UaoXVwbd6Me98tzH75K3S8970ottX/4148dZr4xQF6H364PgO0EI5163Dfcgtz3/42nR/+UN51uXjqNImrV+n6dXmPS8rELoi3FwsVQOr9WvR+bS37oDy9X2vQD+Xq/Sot+5YPWb7er7VlX6F3oLdlH0i9v3K9X0/LPmg0vV+9ZV9mS116v1rLPihb75foo1Kl/xTwduCnBoyl6Wj7dz9H7MxZoq+cyvvd/L89AXa7pv7ykkyWPz44yOKp/LkMfetbYLPhv1fOpRaC73wnictXiBw9lve7mS/9E4rDQdtbfr4OI7MeHb/8y8QvXSL8zDN5vws99hiK00ngTW+sw8isR/AXf5HYhQuEn86fy7nvfRdaWmh94IE6jEwikUgkEkkjoAhj/piNijL8QoizQMneyJLCtL397Uz+zae5/qlP0v93f7f889TCArNf+xq+u+7C3tamcgRJlsBDDzH+J3/K5N/9HX2f+tTyz1Pz88z805dpffANOHp76zhC69D64IPY/vijzHz5y/juvFE/Ih0OE3rsMVrf+BAtHR11HKF1CDz4ION/9udMf/GL+FcUjBTxOHPf+Q7+B16LPRCo4witQ9ub/x3XP/EJph59FP89dy//XCSTzH/3e/iO3CV1fknZ2OxpRFuySL9ndb2/VAZbv95fKINdud6fn+UHM+v96kX8ske78Vq73r+6iB8Yo/fnF/EDI/R+tSJ+2X2l3l+J3r+6iB8Yo/fnZ/nBzHq/ehG/1WcpT+8vXsQPytf7z5Y8n6QQNVvDryjKh4EPA/T399fqtKbG7vfT+aEPMvEXHyPywot4b8sU7pr+h8+Smpmh+7/85zqP0DrYW1vp+tVf5fpf/RXh557Dd/gwADP/9GXSCwtF16NL8rG53QTf9S6mHnmE8LPvxHfXXQCE/vVfSYfDBN/97jqP0DooTifBX/gFJj/9aSIvvLBcQX72scdIzc7S/ta31nmE1kFxOul43/uY+PM/J/rSS8tFI6c//wUSo6P0/M//UecRSqxIiz2NNxBVaf+kfU1/dmuz6v2VtuyDYnr/6qAfjNH79azph/rp/eot+7IHM4/erznoB1Po/Xpa9oEWvb9QQFu53l9py77MOGqn96u37Mv+xhx6v6R8Sir9iqL8SFGUUwX+vKWcEwkhHhFC3C6EuL27u1v/iBuM4C/9EvauLsYefpjE2BjxS5eY+tznaH3oITx799Z7eJai4/3vw9HXx/hHP0pycpLFc+eY/tzn8B05gmfPnnoPz1J0/adfx7lpE9f+4H+Tmpsj+sopJj72l7hvvllW5y+Tjve/D0d/PyO//RGS16+zeP484x/9E7wHD+K7++7SB5As0/4Lv4C9s5OrH/kdEiMjxK9e5fonP4n//vvxS51fIpFIJBJJJTRrlX4hxOtqMZBmxeb1su5PPsrIb/02gz//FtKRCIrTyZrf/q16D81y2Fwuev/gfzH8G7/JwBseRCST2NvbWfPffq/eQ7McNrebtR/9KJf/w3/gwmvuRbHZsAeDbPjEx+USnjKxBwJs+MTHufSudzPwxjdBOo29tZX1f/kxFHt+NkNSHLvfR//fP8Ll9/8Kg297O2JxEaWlhd4//N/yupTowmVL0hOYL9LvWT3Tr1bEDyrR+4tn+UG/3q9exA/06/25RfxA6v3G6f15WX4wRO/XXsQPytP7tWX5oTy9X62IH1Si9xdaPFC53q9exA/06/3Fs/ygX+8vdJWaXe83HJOuvzcC2ZbPBPjvuYdNX/0K1x5+GPdNu+n8wH+U68114r/3XrZ861tc/+u/BpGm9+GHaensrPewLIn3tv1s/L//l7nvfIf40CC9f/RHONatq/ewLIl71y76/vZvmXv8cUQiQcd7fpmWrq56D8uSuHfvpv/Rv2fq7x/F0ddH4I1vxLF2bb2HJbEoLluSTa03vnivbP/UcHq/Wss+qEDvL76mHyrQ+yts2QdS719Nrt6vY00/lNb7Na7ph/L0ftU1/WA+vT9nTT9Ivf8GUu+vNZW25Xsb8EmgG/iOoigvCSEeNGRkTYZr2zY2ffGL9R5GQ+DaspkNn/h4vYfREHhv279cW0JSGb47D60qgijRj+eWW9jwyU/UexgSiUQikUgaCZnhz0cI8Q3gGwaNRSKRSCQSiaRmOG1JNntW5+206/2rs/xgjN6vNcsPZer9OUX8wBi9P7+IX+5Ypd4P+vV+1Sw/mE/v11HED+qn9+dn+bO/qVTvX13EL/PSCL1fW5YfytP7i1lHTaf3y4BfIpFIJBKJpHFwKUk2uyYK/q5eer96y77cc5ej9xdv2Qf69X6tLfugPL1fLejP/t0Men/umn4wSu+vsGUfFNT79bTsg/rp/flr+rNnqFTvL96yD/Tr/Vpb9mXfhVa9v1SNEfPo/RI9yIBfIpFIJBKJRCKRSCRNi4Is2ieRSCQSiUTSUDhIs8lRXBVV1/uLZ/lBv96vp4gf1E/vzy/ilx19hXp/bhE/METv157lX33Cknq/SpYfzKj35xbxy/ysUr0/r4gfGKT353e1MbXen1vEb+lQler9eor4gQa9X0NRUT16v+YsP2jT+6uNDPjNjUgLpkYXmLu+iK/dRc/mQL2HZGnGL80RnY/j8rTQu7VNtryqgMmr84SuR2ntcNPV14rNJudSL7PjEcYvzdHV56ej14ci51IXQghC16NMXJqjY52PzvV+eY9LmhK7Ar0a1odKvb/2er/WNf3Zv41f0w/l6f3a1vRnttau9xe60sys96u37FuxvQqF9f7ia/oz59On9xea32bU+9Va9mX30aP3a1/TD5r0fokuGiLgn59e5InPn+XquZnln63f0c69v7STYK+vjiOzHrMTEZ76ygWunL7x8bVhV5B7372T9h5vHUdmPULXo/zkS+cYPnvjuly7tY3Xf2APrR3uOo7MeoRnY/zgM6cZvXDj60dXn5+f+0+34A/KuSyHyFycHzx6ipFXV8/lQx++mbZueY+Xw/z0Iv6gSz4skUgkEonE6gip9JuWuckoX/nj46TTgrvfuZ2129q4djHEiccv8a+fOMk7/vsBfG2u0geSMDcZ5Rt/8QLJeIq73r6NdTvaGR+a4+i3Bvn6x17gF//nHfja5VxqYW4yymN/+QKJWIrDb9vKhl1BJi7P8+y/XOSrf3ycf//7t9PW7an3MC3B7HiEb338JRbDCQ6/fSt9uzoYvzTHs1+/yNf+7Hne8tu3ygd7GpkZC2fmciHBXe/YxoadQcYGQxz910Ee+8sXedvv3kagS16XWpibjPLPf3KCm+9bz6E3b6n3cCQ6saPQYbNp6vecr/dry/JDeXp/MZ222fT+QnNkjN6vp4jf6hMW1vu1FfGD8vT+3CJ+2dem1ftzivhlX5tV788t4pd9LfV+Y/R+XUX8oKjeX3VkwG9OWjvd7HvtBnbe2bucnVqzMcDabW1842Mv8PinX+btv3cAe0vhi1+SYTGc4F8/eZJUMs07/vvtdKzNBFA9mwJs2Bnkn//sBN9/9BRv+ch+7HY5l2rEokm++dcvkoileMtH9tPd1wpkrsv1O9r52p+e4N8+d4a3/u5tUu8vQSKW4tufOkkykeKtv7OfNRszS3W6+1vp3dLGtz7+Ij/67Bne8d9vl3NZgkQ8xfceOUUqmebt/+3A8nXZ3d9K79Y2vvlXL/Ltv3mZX/yDO+Q9XoJELMXjf/sKQgh2Huyt93AkFaCg4FecZbV/yur96i37QK/eX0qnlXq/SfX+3DX9YGq9X2vLPihT71dr2ZcdsC69X1vLvsz5pN6f/3r1u8j7PFJp2Zd7pPL0fj0t+6CY3i/Rh+UDfkVROFggu7JmY4AH3reb7//9KU4/Ncot92+ow+iswzNfu8DcZJS3fGT/crCfpWOdj/t/eSc//MwZXvrhFQ48tKk+g7QIz31jgPmpRd72X28EVVmCvT5e8+6d/Oizmbm87cGNdRqlNXj26xcJTUZ560duBPtZujb4uecXdvCDz5zmlR9fZd9r++o0Smvw9FcvMD0a5s3/ZV/eddnd18oD79/N459+mVM/HmHfA3Iu1Xjqq68yPbLAz/3mPrnUqQEo3v6pRLY/AJG5KmT7NWTX9GT7h+Y8eAPRou9Jb7a/zzHFcKIz72iVZvsVjxuii6u2NCLb7wpBrM34bL+eln1QOtsfa3PiCmXes5HZflskCl6P4dn+4ST0tRif7RftkJo1Ptuv1rIv+1pPtn9qzkdnIJz/ZirM9m92TTAUW5N32Eqz/YrXg4hEDc/2O0MQbzMu2191GjTD39BpnK23dbNuezsnvnuJRCxVeocm5dpAiHPPjXHr6/pYt6294DY77uhl482dvPTDYeKLyRqP0DqMXpzl9E9HuOWBPtZubSu4zY6DPWze18WJ714iFpVzWYyR8zOc+kkm+Fy/I1hwm223r6F/TwdHvzlIZK6G/0OwGGODIc48Pcr+N/TTvzv/iznApr2d9N0U5Ph3hoguyLksxsTlOc4+c41bX9fPxj2F51LSHETmrLX8RT3Y10+hYN8Qooult9HBjWDfGmSDfcPxVuf67WspHcDrIRPsW4eCwb4BFAr2jUBEqvP5kAn2rYMijPljNiyf4VdDURQOv20r//Lnz3PyiWFuf+Omeg/JdIi04KdfPo8/6OJAifm5/U2b+Jc/f57TT42y//X9tRmghRBC8PRXL9Da4VZd06soCnf83GaGTk5y5qlMECZZjRCCn31zEH/QxZ0/rz6Xd79zO196+Chnnh7l9jdtqt0gLYIQgue+MYAn4FSdH0VROPLO7Xzl/zvGSz8c5vDbttZukBZBCMEzX7uIp9XBAXmtNQTppXROwfZPJfR+9ZZ9ua/L0PtVWvZl99Gj92te0w+m0Pu1LIEwk96v2rIPKtD78+vrG6H3q6/pB7Pp/epr+sFser+q2g+m0/tV1/RDBXp/oTmqTO+XlE9DB/wAvVva2HhzJy8/eZXb3tCPTa5NXcWlVyaZHF7gdb+yG6db/XLo3dLGhl1BXvzhFfbet54WR75G1cwMn5nm+pV57n/PLhwu9bnp7m9l/c52Xn5ymFse2CDXTOcwfHaascEQ9757By1O9bkM9vrouynIqZ+OcNuD8h7P5cqZaUYvzPKad+0oeY93rvOzcW8XZ5+7xsGf3yyvyxwun5pi9MIs9/7STlyehv/fZ1OQRhATicLtn8rQ+/W07IPS69WN1Pu1r+mH8vR+bUE/lKf3q63pB6OK+RVaAqFP71dv2Qf69f7ia/oLvQNdev/Sa+OL+a1u2QfG6P35LfuyYyxf71cL+iF/frXq/drX9EM5en+PfZTxlHp3Il16v8+NEl40vJifcy5FPGAnf4506v3VxoTZeSNoim9zu+9eR3QuzpUz1dGMrMyLP7xCa4eb7bdrU4T2v76f6Fycy6+UfHbZdDz/vcv4gy52HtJWxOvW1/WzMBNj4PmJKo/MWgghOP7tIfxBFzfdtU7TPnvv20B4NsbQSfViW83Iie9corXTze67tc1l9vPy8svyHs/lpR8NZ67LI2vrPRSJRCKRNCGlgn29KOHqLKHJBPsWQRj4x2Q0RYpi482duH0Ozh8dY9PernoPxzSMDYa4djHE3e/crjkrumFXEE+rgwvHx9l6W3XWEVmRawMhRi/McvcvbNfcEWLjnk5aO9y8enycHbLS9zITl+YZG5zjNe/agd2hcS73dtHa4ebUT0fkdbmC68PzjA2GOPLvt5VxXXbga3Ny+ulRtuzvrvIIrcPUyAIj52c4/Lat0nxoIJICFkTh9k/10vsLZbCN0ftXF/FbOe7CaNT7Nbbsg/L0frWWfdmfN4feX7xlH0i9v2K9X6VlX3ZYevR+zS37oEy9X1vLPihP79fcsg/K1PuLt+wDPXr/qKatJKtpioDf3mJj+x09nHl6lFgkgcsrWzsAnHxiGJe3paxslc1uY9uBzFzGo0mcUmsF4PRTIzjddnYf0ZZFBVBsCltu6+aVJ68SiyalIrzEmadHaHHaNJsSADabws47e3n+u5dYXEjg9st7HODUT0docdjYdbi8e/ymI+s48d1LLMzE8AddpXdqAl5+YpgWh62se1xifuLCzvUUBds/Sb0/S730fm0t+6A8vV9r0A/l6v0qLfuWD1m+3q+1ZV+hd6C3ZR9Ivb9yvV9Pyz4or3q/tqA/Mw7ten+hB2x69X71ln2ZLcvX+6uHGQvuGUHTpCl2He4llUwz8EK9LyVzsBhOMPjSdXYc6i25rjeX7Xf0kEqmGTwp5xIgHk0y8PwE2+/oKbl2P5dtt60hnRJcelmq6JCZy1dPZOay3IdJm/d1IUSmLoUEYtEkrx4dY/vBHty+8h6AbLt9DQi4fErOJWTm8vyxcXYc7JEPkyQSiUQiaVSk0m9tuvtb8Xe4uHxqSvNa1kbm4vMTpJOCXXeWr5L3bgnQ2unmwvEJdt0p17JefH6CZCLNrrvKn4ueTQF87S4GXpgoK6PdqLx6fJxkLKXrHu3ub8XX7mLo5GRZGe1G5cLxcZLxNDe/Zn3Z+3as9dHa6ebSK1Psuaf8/RuNwRcnSCXS3CSz+w1HXNgZSQYo1O+5Xnp/qQy2fr2/UAa7cr0/P8sPZtb71Yv4ZY9247V2vX91ET8wRu/PL+IHRuj9akX8svtKvb8SvX91ET8wRu/Pz/KDmfX+3CJ++eetRO+XaKVpAn5FUejf08mF4+OkUummX4N5/mdjBNf66O5vLXtfRVHYvK+L00+Nkkykmr5a/9lnRwmu9dGzKVD2vopNYev+bk4/NUp8MVm2bdFonP/ZNTrW6ZzLpevy3HPXSMZTJav7NzoXT4wT7PXqvsc33dzJWTmXALx6bJxAt4eezeVflxJzExOOnD7yc2Xo/eoGjF69X0tAaya9v9KWfVBM718d9IMxer+eNf1QP71fvWVf9mDm0fs1B/1gCr1fT8s+0KL3FwpoK9f7K23ZlxlH7fR+9ZZ92d+YR++XSn8D0L+7g8RiivHBUOmNG5jZiQhjgyF23dmLohT8qCtJ364OUok0YwPNPZeh61HGBufYdVj/XG7a10UqmWb0grb/TTYq89OLjA3Osf2OHt1zuXlfF8l4muFzMwaPzlqEZ2OMXJhl2+3653Lj3sxcjrza3NdlOBRj5PwMOyq4LiUSiUQikVgAqfRbnw27OlBsCpdPT7Nue7Dew6kbF5fawG2/o0f3MdbtaMdmUxg+O8OGXR1GDc1yDL6Uef64rYLK8Gu3tGFrURh5dbapu0gMvlj5XK7fEaTFZWf49BSbb2neubz4/AQINLfbLMT6ne20OG1cfmWSjTd3lt6hQbl4YgIhYMdB/Z+XEvMST7cwsJh7n2jU+zUW8YPy9H61In5Qid5fPMsP+vV+9SJ+oF/vzy3iB1LvN07vz8vygyF6v/YiflCe3q8tyw/l6f1qRfygEr2/0OKByvV+9SJ+oF/vL57lB/16f6GrVOr9taepAn6Xp4XeLQGGz0xz+K1b6z2cujH00nXWbArQ2qG/l6fT3ULPlgBXz00DzTuXgy9O0NXnJ9Dl0X2MFqed3s1tjJxv7qz0xecn6Fzvp73Hq/sY9hYba7cEGL3Y3Fnpi8+P07nBT7DXp/sYLQ47G3YGuXym9JeHRubi85l7vJK5lJiXWMrOpWixB1ol9H6Na/qhwfV+tZZ9UIHeX3xNP1Sg91fYsg+k3r+aXL1fx5p+KK33a1zTD+Xp/apr+sF8en/Omn6Qer9h1Dg7ryjKQ8DHyVyUjwoh/jTn938F3L/0Ty+wRgjRvvS7FPDK0u+uCCF+Xu1cTaX0A/Tv7uT6lXkic/kfaM3AwswiE5fn2XJr5dnPDbs6mLgyz2I4UXrjBiQ8G2NscI6t+yvv+75+Z5Drw807lwszi4wNhth2oPK+7+u2B5kaCbO40Kxzmbkutx2o/LpctyPI3PUo4VDMgJFZj8hcnLGhEFturfy6lEgkEolEYl4UA/+UPJei2IG/Ad4I7AberSjK7pXbCCE+IoS4VQhxK/BJ4Osrfh3N/q5UsA9NluEHWL+jHYCxweb8Ejd0MpOF2Lyv8vfed1MHx789xNVzM4YEF1Yjq/Nv2V/5XG7YGeT4t4cYvTDb1Nfl1gp0/izrlu7x0YvNOZfZVnpGLGlYu60NgLGBkCH/bazG5VOTIGjqpTaNTjJt5/K82hK/4np/fhE/MEbvX53lB2P0fq1ZfihT788p4gfG6P35Rfxyxyr1ftCv96tm+cF8er+OIn5QP70/P8uf/U2lev/qIn6Zl0bo/dqy/FCe3l/MOtKr9zcQB4GLQohBAEVRvgy8BThTZPt3A/+P3pM1XcDfvbEVm11p4oD/Ou09XoK9+rXpLGs2tdLitHHt4mzTBvztPV461lau+vZsCtDisDFyfqYpr8vLp6Zo6/YYok33bAxgd9ia9uHJpVemaO1w07Gu8rns7mulxWHj2sXmDPiHTk7iD7ro6vOX3lhiSURS4fqclv+++Xq/npZ9UD+9v3CYY4TeX7xlH+jX+7W27IPy9H61oD/7dzPo/blr+sEovV/J+bcxer+eln1QP70/f01/9gyV6v3FW/aBfr1fa8u+7LvQqveXqjFSrt5fdYxT+rsURTmx4t+PCCEeWfHv9cDwin9fBQ4VOpCiKBuBzcATK37sXjp+EvhTIcRjaoNpuoC/xWGnu7+VsSas1B+PJhk5P8u+B/oMqTZtt9tYszHA+CVt/6trJBKxFKMXZ9l73wZDjmd32Ojd2taUFdGT8RQj52fYfbcxPc7tDhu9mwNN2fUgmUhx9dw0Nx1ea8w93mKjZ3OAawPNOZfDZ6fZZdBcSiQSiUQiMTcGtuWbFELcrnaqAj8rdvZ3AV8TQqx4Wkm/EGJUUZQtwBOKorwihBgodrKmC/gBere0ceonI6SSaewtzVPG4Or5GdJpYWjF7Z7NAU4+MUwqkcbuaJ65HHl1hnRSsHGPcXPZu6WN5797iUQshcPVPH3PRy7Mkkyk6Tfwuly3vZ0Tj18iFk3i8jTPx9zIq7Mk42k2Gqigr93WzvPfu0x8MYnT3URzeT4zl5uauNtDU5BSiIW0FoRarffnFfEDg/T+4ll+0K/36yniB/XT+/OL+GVHX6Hen1vEDwzR+7Vn+VefsKTer5LlBzPq/blF/DI/q1TvzyviBwbp/fnft0yt9+cW8Vs6VKV6v54ifqBB79dQVLQcvb+BuAr0rfj3BmC0yLbvAn5j5Q+EEKNLfw8qivJjYD8gA/6V9G5p4+S/DTM5vEDP5kC9h1Mzhs9M0+Ky07u1zbBj9mwOkE4Krg/P07vFuOOanSunp2lx2pbXOBtBz6YAQsD14XnWbWs37Lhm5/KpKVocNtZvN+49r93anpnLy3NN1Tby8suTtDhtrN9p5Fy2IdKC8Utz9DXRXF45M4XdYVuu+yJpTJQU2GbLbf8k9f7imF/v17qmP/u38Wv6oTy9X9ua/szW2vX+QleamfV+9ZZ9K7ZXobDeX3xNf+Z8+vT+QvPbjHq/Wsu+7D7l6f1VpnZV+o8D2xVF2QyMkAnqfyl3I0VRdgJB4LkVPwsCESFETFGULuAI8OdqJ2uelOwK1i4FvM2m9V85M8WGHe2GWg29mzNzOT7UXFr/ldNTrN8ZpMVhXCZ+zabMw6eJJlsicfnUFOt3BWlxGjeX3RtbAZi4PG/YMa3AlbPTrN9h7HXZu6UNlEzhvmZi+OwM67a3GzqXEolEIpFITIww6E+p0wiRBH4T+D5wFviqEOK0oih/pCjKyqr77wa+LIRYedSbgBOKopwEniSzhr9YsT+gSTP8vnYXrR1urg2E2PdAX+kdGoDQ9Qhzk4vse6Df0OP62l34gy7Gh0KsNlMal9mJCKHrUW55rbHv1xtw4u9wNVVNhND1KHPXo+wzeC7dPgeBLndTBfzz04uEJqLsvdeYuhJZnJ4Wgj3epprLhZkYM9fC3HR4bb2HIqkythQ4Q3r6Pedn+cEovV9blh/K0/uL6bTNpvcXmiNj9H49RfxWn7Cw3q+tiB+Up/fnFvHLvjat3p9TxC/72qx6f24Rv+xrqfdXqvc3DkKIx4HHc372hzn/frjAfs8Ce8s5V1MG/JBR0ZspsLpyOnNz9+82Xsnt2dzGWBNl+K+ereJcbgo0VYb/6rnMXPbdpNYWSx+CxxzwAAAgAElEQVRrNgaYuNx8c7lhl/Fz2dXXyrWLzVO4b3jpHu/bbfxcSsyFkgLnHBRq/1Q68C/esg/06/3qLftAr95fSqeVer9J9f7cNf1gar1fa8s+KFPvV2vZlx2wLr1fW8u+zPmk3p//evW7yPs8UmnZl3skbXp/FRGGFu0zFU0b8Hf1+bn4/ASL4QRun6P0DhZn+Ow0rZ1u2tZ4DD92z+YAAy9MEJmL4w2UePzcAFw9P4M/6KrKXK7ZGGDghetEF+J4/I0/lyPnZ/C2OWnvqbxNZC7dG1sz9/hCAre/Ge7xGTwBpyHt+HJZs7GVC8fHm+YeHz47jafVQec62Y6v0VFS4AwJCrV/KpXtH0500ueYwvBsfwAic1XI9mvIrunJ9g/NefAGokXfk95sf59jiuFEfjHXSrP9iscN0cVVWxqR7XeFINZmfLZfT8s+KJ3tj7U5cYUy79nIbL8tEgWvx/Bs/3AS+lqMz/aLdkjNGp/tV2vZl32tJ9s/NeejMxDOfzMVZvs3uyYYiuW336002694PYhI1OBsfxVp0IC/8fwIjXT3Zdb4Tl5dqPNIqk86LRi9MMuGXcGqtJda0780l8ONr/yKtGDk/CwbdlZnLnuW1/E3wVwKwdXzM1W/LieuNH6Wf3kuq3RdZj8vrzfDPS4EV89Ns2FXB4qt4aoCSwwkE+wbT2TO+IfJ1UQ92NdPoWDfEKKLpbfRwY1g3xpkg33D8Vbn+u1rKR3A6yET7FuHgsG+ARQK9o1ARKrz+VAtFGHMH7PRxBn+G0Hqhp2NrW1OXV0gFkmyfkd13mfnhszz+smrC/Qb2KbOjEyNhlkMJ1hfpWume2MrKDBxec7Q9olmZHo0THQ+wYad1an83t1/o3Bf/+4mmMu5eFWWRkDGiAK4fmXe0FaUZmT62tJ1WYWlERLzoaTEUuBTSKetj96v3rIv93UZer9Ky77sPnr0fs1r+sEUer+WJRBm0vtVW/ZBBXp/fn19I/R+9TX9YDa9X31NP5hN7y/5mNFker/qmn7QofdL9NC0Ab834MTX5myKjNXIqzMAVWsv5fY58He4msKWGDm/NJdVCvid7hbaujxMjTT+XF49l5nLagVWLq+DtjUerjdBsbmrVb4uXV4HgW4Pk1cafy5HX818/avWA1KJuVDSAufciuAuT6etbzE/PS37oPR6dSP1fu1r+qE8vV9b0A/l6f1qa/rBqGJ+hZZA6NP71Vv2gX69v/ia/kLvQJfev/Ta+GJ+q1v2gTF6f37LvuwYy9f71YJ+yJ9frXp/OuQl1ZYyvJhfj32U8ZRb7aj69H6fGyW8aFgxv6pjwuy8ETRtwA/Q1d/K5HDjB1Yjr87S1u3BH1S/kSuha0NrUwT8V8/P0NbtobWjenPZucHfNHMZqPJcrulvZWyw8ZX+0QuztHa6CXRWTwVe09/aFIVOR16dxR90Eeiq3nUpkUgkEokeUm2p0hvpoFSwrxclXJ0lNNXCjDq+ETR1wN/d18qV09Mk4ylDe4Cbiez6/W0HqrM2J0vXBj+XX5mUc2kAnev9DL50nUQshcPVmHMp0oJrF2fZur+7qufpWO/nwokJ4tEkTk9jftwJkbkuN1V5CUh3f2vDFzrNzOUMfbs7qlILQWI+lFQax1yMwu2fGkvvL5TBNkbvX13Eb+W4C6NR79fYsg/K0/vVWvZlf94cen/xln0g9f6K9X6Vln3ZYenR+zW37IMy9X5tLfugPL1fc8s+0PR5JNFHY34D1kjXBj8iLZgaDS8XS2s0JofniUeTVdP5s3Rt8CMEDT2X06MLxKNJ1m2v/lwiMuuyezY36FxeCxOLJFlb5bnsXJ8RRqdGw6zd2lbVc9WL6WthFhcSVZ/LrqVaHVMjCw2ru8+MRYjOJxr2/UkKkE5jm48Vaf8k9f7s342l92tr2Qfl6f1ag34oV+9Xadm3fMjy9X6tLfsKvQO9LftA6v2V6/16WvZBedX7tQX9mXFo1/sLPWArV++vKoKGVfqtVVLUYFYW7mtURi9kPirXba/uF9hsUa+pBlbRs2p4tQPH5SC1gdfxL1+X26oc8C+1qGvkubx2IbvmvLpz2bHUom56tDoVgs3AaJXrnUgkEolEIjExwqA/JqOpM/yBLjcOl52pkcb9Ajs2GKK1040/WN3+lYFODw6XvaEfnowNhPAGnLR2Vndtb6Azc11ONnCQOnohs0662nPZ2unG4bYz3cBzOXJhFl+7i0BXdVt5+dqduLwtDf3wpFZzKTERaYESjuTotNr0fs1ZfjCF3l8qg61f7y+Uwa5c78/P8oOZ9X71In7Zo914rV3vX13ED4zR+/OL+IERer9aEb/svlLvr0TvX13ED4zR+/Oz/GBGvV+ij6YO+BVFoWOdj+lrjfkFVgjB2ECIdTXQUxWbQud6f0MHqdcGQ/Rubav62t7sXDaqLZFdc75hV3V6xq9EURQ61zXudZmdy/U7ajOXHet8DZ3hHxsIsXZb9e9xiYlIpyG6uCoY0ar3a1/TD+Xp/cWDftCv92sJaM2k91fasg+K6f2rg34wRu/Xs6Yf6qf3q7fsyx7MPHq/5qAfTKH362nZB1r0/kIPISvX+ytt2ZcZR230/mqh0LhF+5r+oUnH2sb9ArswEyMcitO7pTZrlzvXZ+ZSiMa7WyJzceauR+ndXKO53OBnamShIecyNBElMhevei2ELI18Xc5NLhIJxVm3rUbX5To/Uw06lwsziyzMxGr2eSmRSCQSicRkSKW/MelY5+Pss9eILsTx+EtUOrEYYwMZdadWxcqCa33EIkkic3F8bdVdQlBrxgYzc9lbo7nsWu/j9E+TLMzEqtq2rh6MXsw8p19b5fX7WTrX+zn91Cjh2VhVW1PWgxvXZW3msmOdj3g02aBzmclRyIC/yRACsSLDvzL7WErv11XED0rr/RqL+EF5er9aET+oRO8vnuUH/Xq/ehE/0K/35xbxA6n3G6f352X5wRC9X3sRPyhP79eW5Yfy9H61In5Qid5faPFA5Xq/ehE/0K/3F8/yQ/l6v0QfMuBfmynqNT0aZv2Oxgr4rw2GaHHa6Fzvq8n5OpYKpE1fCzdewD8Qwtai0N3vL72xAQSXrsuZsXDDBfxjgyFcvhaCvd6anC97/U+NhBswSA3hcNuX771qszyXow04lwMhWhy25QKkEuuhKEof8Hmgl8z35keEEB9X20cIgVgRjOSGg+p6v56WfVBS79e4ph8aXO9Xa9kHFej9xdf0QwV6f4Ut+0Dq/avJ1ft1rOmH0nq/xjX9UJ7er7qmH8yn9+es6Qdz6v3VRmlAgxGk0t/QlafHBkL0bApgs9fmP/PKhyeNxthQiDX9rbQ48tdrVYNgbzbgj5TY0nqMDYTo3Vy7ddLZe7wRi82NDS7d47YazeXapc/LBix0em0wRPfGVuw1+ryUVIUk8LtCiJuAO4HfUBRld53HJJFIJBIrYJTOb8JnBk2f4fe1O3F6WhouSE3EUkxeXeC2N/TX7JzeQKaK98y1xprLVDLNxKV59t63vmbn9LQ6MnPZYAH/YjjBzFiEHQd7a3ZOt8+BN+BkZryx5jK+mGTq6gIH3ripZud0+x1425xMjzbWw5NkPMXk8Dy3vq6v3kORVIAQ4hpwben1vKIoZ4H1wBm1/dQy2Op6/+oifmCM3p9fxA+M0ftXZ/nBGL1fa5YfytT7c4r4gTF6f34Rv9yxSr0f9Ov9qll+MJ/er6OIH9RP78/P8md/U6nev7qIX+alEXq/tiw/aNT7Jbpo+oBfUZRM4b4GC1InLs8h0qJma86hcefy+vA8qWS65nMZ7PUyO9ZYczl+KbtOOlDT8zbiXE5cmkOI2tWVyNK5PlO4r5GYuDJPOiXk+v0GQlGUTcB+4GiB330Y+DCAG6+m9eqF9f5COm3ler+eln1QP71fvWVf7rnL0fuLt+wD/Xq/1pZ9UJ7erxb0Z/9uBr0/d00/GKX3V9iyDwrq/Xpa9kH99P78Nf3ZM1Sq9xdv2Qf69X6tLfuy76KU3k+Vl/LLKv0NTLbVVCNVnl4u5lWjqvJZgusyAX9DzeVS8cNaBwPBXl/DZfjHBkIoCqzZVNuAv31pLhvqulwqMtdT47kM9niZGW+0uczc4z01/ryUVAdFUfzAvwC/LYTIi5mEEI8IIW4XQtzuoLHqzUgkEomkAqTS37h0rPVx5unRhqouPzYQor3Hi9vvKL2xgXT0+jgTThKdT+ANNEYRxLHBEK2d7ppfG+29Xs4+e41YJIHLW9v/jtVibDBE5wY/TndtP3qCPV5ikca7LoNrfbh9tb02gr1ekrFUQ1XqHxsI0dbtaZhro5lRFMVBJtj/v0KIr2veUUOBulrp/XlF/MAgvb94lh/06/16ivhB/fT+/CJ+2dFXqPfnFvEDQ/R+7Vn+1ScsqfeX+Lgzn96fW8Qv87NK9f68In5gkN6fX/PJ1Hp/bhG/pUNVqvfrKeIHKnq/LNavCxnwA8G1mWrhs+ORhgj4hRCMDc6xaV9Xzc+9XKl/dAFvoKPm5zcaIQRjAyHW7QjW/NwdKwr3NYJqnE4Lxofm2Hln7dbvZ8l2BJgdDzdEUCfSgrGhEFtu7a75udt7MnM5Mx5piIA/83kZon9PZ72HIqkQJVMJ9DPAWSHEX2rcB8VuL9j+qbTeX7xlH0i9v9A5Glnv17qmP/u38Wv6oTy9X9ua/szW2vX+QleamfV+9ZZ9K7ZXobDeX3xNf+Z8+vT+QvPbtHp/FZBKfwOT/QI72yBFvUITURbDCdbWIUhcrtR/rTHmcn56kXAoztoar5OGTIYfGqdS//RomEQsVZeHF402l7MTEWLhZF3mMttBYrZB5nJucpHofKIhHqpJOAK8B3itoigvLf15U70HJZFIJBKLIJX+xqU16KbFYWuYKt7X6rTmHMDblul60CgF0sYHs0Xmaj+XgU43thaFmQaZy+W6EjUu2Acr7vEGCVJvzGV97nGH294wn5f1nEuJsQghnqZI0qwoNhtKy4382Mp+z6X0/vwifmCI3p+T5Qej9H5tWX4oT+8vNkfNpvcXmiNj9H49RfxWn7Cw3q+tiB+Up/fnFvHLvjat3p9TxC/72qx6f24Rv+zrptH7tf3HleQgA35AsSm0rfE2TMZqbCiEy9uyrDHXkmx1+UYJBq4Nhmhx2elc76v5uW12G+1rvA0VpHpaHQS6PDU/t2JTaO9toLkcWLrHe+p0j/c0TteDscEQDrd9eTmSpMmwKShuV+H2TyX0fvU1/Su3LFfvL96yD/Tr/eot+0Cv3l9qCYTU+02q9+eu6QdT6/1aW/ZBmXq/Wsu+7IB16f3aWvZlzif1/vzXq99FeU9ydSIaV+mXAf8SwV4vE1fm6z0MQxgbCNGzOYBiq8ntkUewx8vwuZm6nNtoxgZC9GwKYLPXZ/VLsNfL5NXG6Hk+Nhiid0sbmWW2tae9x8vEJW1fk8zO2NAcPZvb6naPt/d6Gb3QGI/ZxwaX7vE6zaWkzthsKN4VDyFzA3+19erRRfC4Dc/2Dyc66XNMYXi2PwCRuSpk+zUYEXqy/UNzHryBaNH3pDfb3+eYYjiRX7Oj0my/4nFDdHHVlkZk+10hiLUZn+3X07IPSmf7Y21OXKHMezYy22+LRMHrMTzbP5yEvhbjs/2iHVKzxmf71Vr2ZV/ryfZPzfnoDBR4kF9htn+za4Kh2Jq8w+rN9ledBg345Rr+Jdp7vMxPRkkl0qU3NjGxSILpa+G66qntvV7CszHii9YupZmIpZi8ulAXBT1LsNfH3OSi5a/L6Hyc0ES0rtdlsMfL3NQiyUSq9MYmJhZJMD0aZu3WOl6XPV4WpmMkYtaey/hikqmrC/TWoUaHpAHwVKdoZSbYN57IXO3tqkpQD/b1UyjYN4RodaqJ3Qj2rUE22Dccb3Wu376W0gG8HjLBvnUoGOwbQKFgX1J7ZIZ/ifYeL0JA6HrU0mrn+NAcCOr6BXa5qNd4hDUb6xeUVMrEpTlEWtQ3SO31ItLC8tfl2FD9aiFkCfb6QGSKWnau95fewaSML81lTz0f6vUs3eMTEbr7Wus2jkqZuDSHEHL9flNjs4HXU7QKtJrer71lX3ar+ur96i37cl+XofertOzL7qNH79e8ph9MofdrWQJhJr1ftWUfVKD359fXN0LvV1/TD2bT+9XX9IPZ9P6SjxlNovdXEwWp9Dc8N9p2RawdWA2GUBTo2VTPrPSNiuhWDvivmaCYV3C5NV/Y8telzaawZmP9gsOVlfqtHPBfM9E9Pjtm7YB/uWDfZut+TkkqQ9gVhM9dsv1TSb1/6bVVivnpadkHpderG6n3a1/TD+Xp/dqCfihP71db0w9GFfMrtARCn96v3rIP9Ov9xdf0F3oHuvT+pdfGF/Nb3bIPjNH781v2ZcdoHr0/HfKSaksZXsyvxz7KeErdhipX768qojEjfmt5QlWkfU22t7S1C1GNDYboWO/H6a7fs5xAtwebzfrV5ccGQwR7vbh9jtIbV4nlnucWLzY3NhCiq89PizP/f2614sZcWvy6HKj/Pd62xgMKli/OOTY4R8c6Hy5v/e5xiUQikUi0suphkYGk2qpz3FLBvqQ2yAz/Ek5PC942p6Ur9afTgrGhOXYe7K3rOOx2G4Fuj6XnUgjB2GCILbd213UcDpcdf4fL0g+iUqk0E5fn2H1kXV3H4XDaae1wW/rhSTotGL9U/3u8xWEn0Om2dKV+kc7c41v31/cel9QXYVNIBlyF2z+Bqt5fLIPdbHp/oQy2MXr/6iJ+K8ddGI16v8aWfVCe3q/Wsi/78+bQ+4u37AOp91es96u07MsOS4/er7llH5Sp92tr2Qfm0Pul0t8EBHus3U5u5lqYxGLKFAWorN6ab3Y8QiycNMXa3mCvj5lr1p3LqasLJONp01yXsxa+LqdHl+7xOhaSzNLe47P0PT4zHiEWSZriupTUD9GikGi98VU4N6RbpoDeXyqglXp/s+n92lr2QXl6v9agH8rV+1Va9i0fsny9X2vLvkLvQG/LPmhOvV8t6If8+VXX+/W07IPyqvdrC/oz46iD3i+QVfqbgfZeH7PjEYRF129cG8iuOa9/MBDs9TI7ESGdsmZ1+eza3rUmCAayD0+sel2ODda/YF+W9l4vM2NhRNqqc7l0j5vhuuzJPDyx/Fya4LqUSCQSiUQiqRYyw7+CYI+XWCTJ4kICT6u12mlA5gusp9VBoKv+rXfae3ykk4K5qcXl+ghWYmwghMvbYoqxB3t9JGMpFmZitHZYby3U2GAIX5sTf9BVeuMqE+z1kYynWZi17lya5h7v9Vp+Ll0+c9zjkvqRtkO8rbBOW1Lv15DB1qP3a87ygyn0/lIZbP16f6EMduV6f36WH8ys96sX8cse7cZr7Xr/6iJ+YIzen1/ED4zQ+9WK+GX3lXp/JXr/6iJ+YIzen5/lh8r0/uqiWDNPWRIZ8K9guajXeMSaAf9AiN4tbShKwYYeNWVlpX4rfqG+NjiXmUubCeay50ZFdKsGVr1bzXFdtjfCXJrlHrf8XJrnHpfUD2Er3ue8lN6v1rIvu48evV/7mn4oT+8vHvSDfr1fS0BrJr2/0pZ9UEzvXx30gzF6v541/VA/vV+9ZV/2YObR+zUH/WAKvV9Pyz7QovcXeghZud5facu+zDhy9f4qYk1psSRS6V/BymDAakTn44SuR02jp1q5IvpiOMHMtbBp5jK4NtOOb9qCcxkOxZifWjTPXPZatxtHdD5OaMJE93jvjQekVmP5Ht9sjrmUSCQSiUQiqRYyw7+C1k439habJb/AmmltL4Db58ATsGbXg/FLS2vOTTKXnlYHTk8LIStflyYJUr0BJ0633ZLX5diQeWohwMq5tN7Dk/Ehc93jkvoh7BALQLH8Rz30fl1F/KC03q+xiB+Up/erFfGDSvT+4ll+0K/3qxfxA/16f24RP5B6v3F6f16WHwzR+7UX8YPy9H5tWX4oT+9XK+IHlej9hRYPVK73qxfxg/L1/uoiq/Q3ATabQtsajyWreI8NhrDZFdb0t9Z7KMsEe7yWbIE2NhBCsSms2WiOuVQUhXaLdpAYG5zD1qLQ3Weiuez1MW3R69Jmtuuy15qV+scGzXWPS+qHsENi1XOfMvR+lZZ9uUcqT+/X07IPSur9Gtf0Q4Pr/Wot+6ACvb/4mn6oQO+vsGUfSL1/Nbl6v441/VBa79e4ph/K0/tV1/SD+fT+nDX9UJneX1UEYNEC2aWQSn8O2crTVuPaQIju/lZanPnrfupFMFsR3WI3z9hgiK4Nfpxu8zwPa++x5oOo8cEQa/pbsTvM81Fj1Xt8bDBEV5/fdPe4Veeyc73PVPe4RCKRSCQSSTWQ33ZyaO/xMnRyklQqjd1uniBFjVQqzcTleW6+Z329h7KKYK/Pcl0P0qk040Nz7Lqzt95DWUWwx8urR8dJxFM4TBTwqZFKZq7LvfeZ67ps7/Fy/ugY8cWkZQK+VCrNxKU5dt+9rt5DWUV7j5fzP7PWXKbTwpT3uKROtAjibcVk15xNl/6uvt6/uogfGKP35xfxA2P0/tVZfjBG79ea5Ycy9f6cIn5gjN6fX8Qvd6xS7wf9er9qlh/Mp/frKOIH9dP787P82d9UqvevLuKXealf7682UulvEtp7vaTTgrnrUYK9vnoPRxOTwwukEmnTrUdtX1Gp3yoB/9RomEQsZbq5bFvqdBCaiNC1wRoa8vXheVLJtGnWnGfJFpQMTUTpNtESGDWmri6QNOE9HrTgXE6PLpCIpegx2XUpqQ92exqlLV6k/ZO63q8a9EMFen8hnbZyvV9Pyz6on96v3rIv99zl6P3FW/aBfr1fa8s+KE/vVwv6s383g96fu6YfjNL7K2zZBwX1fj0t+6B+en/+mv7sGSrV+4u37IPy9f6XVX9rAA0a8FsjhV1DblSXt46mOjaQLYwWqPNIVhO0YKX+G3NprmAgW11+djxa55Fox6xzudyNw0IqutmKH2a50crUevf4WpM9PJFIJBKJRNI8KIrykKIo5xVFuagoyu8X+P1fKYry0tKfVxVFmV3xu/cpinJh6c/7Sp1LZvhzCFoxGBgK4e9w4Q+aqxd2a4cbu8NaXQ/GBkN425y0dpprLtu6s9elhQKrwTlaO9z42l2lN64h7Ws8oFirndzY4By+dhf+oLnmsm1pLq3U9WBscA5vwHz3uKQ+OOwpAu0RlX7PZRTxA1Pr/XlF/MAgvb94lh/06/16ivhB/fT+/CJ+2dFXqPfnFvGD/7+9Nw9uLL8POz8/gCAJkATv+2j2OdNz9Fw9o5FGx4xmNLql2NbGltZOrByq7FquZL3eZLWqclxOeeNdV2XjrXiTaL2ujUtOlMTS2rIsaTQjaaTRSJqje44+pi+SzRtkk00CvEkQv/0DeGwSBB7ee3gAHoDvp4rVbDbw3uN3Hjj84vv5fr+u6P3Wq/wHT5hT788hdHpP708f4pf8Wr56/6EhfuCS3n+4rdPTen/6EL/Uobyo9yuKp/QrpfzAHwMfAqaA15RS39RaXzYeo7X+H/Y9/jeBh1KftwH/HDhL0kk4l3ruUrbzScKfRl0oQLApUF4J/0jUc6ovgPIlp8uXVzIQpfdYM0pllKNKRqDOT2NrXVlV+OfGop6sotbU+mlqrS+/1/ixsOfuy5qAn3B7ecVydjRKjwdf40JpqPXF6QvfSX0Orn8yT/wt9/SDTb0/+8o+EL0/0zkqWe+32tNv/Ol+Tz/Y0/ut9fQnH21d7890p3lZ7zdf2bfv8SZk1vuz9/Qnz+dM788UX6/r/a6jdTGn9D8G3NBajwIopb4GfBq4nOXxnyWZ5AN8GHhea3079dzngY8A/ynbyUTpz0BrT0PZ/AK7cnuT1aUtz6m+Bsak/nJgLbpFbGHTk2+eAGW1mm/vvvRqLMtouvza8hYrtzc9+xovp/tyPbZN7NaGZ2MpCIIgCEJF0KGUen3fxxfS/r0fmNz396nU1w6hlDoCHAV+YPe5BlLhz0BLd4jRN629b15qjN5eL1ZSIdkicePcPPGdXWoC3p4uPzeafJ/bq8lAS3eIa6/OobX2fHXSqz3nBi1dIa6MzEosXaClO8TMjWh5xdKjPy+F4lPni3Ok4WAVqdR6/+Ehfsa589T706r84Jbeb63KD/b0/mwxqja9P1OM3NH7nQzxO3jCzHq/tSF+YE/vTx/iZ3zuWb0/bYif8blX9f70IX7G59Wm97uo9C9orc+anSrD17Kd/VeAv9BaG//h7DwXkIQ/Iy3dITZXd9hc3aG+MZD7CSVkbjRGTcBH+0Bj7geXgNaeBtDJKd7t/d68RoPZ0Si+GkXnoDenjbd0hdjeiLOxskMo7O2tB16/L1u6Q+xs7bIe26ah2Vt98elERqP4a3yevS9bu0PEt3ZZW9723IyBdCKjUXx+ReeQN+9LofjUqTjHgpmT21Lp/eY9/QfPYk/vz76yD5zr/eYr+8Cp3p+rBUL0fo/q/ek9/eBpvd/qyj6wqfebrewzLtiR3m9tZV/yfKL326Z4U/qngMF9fx8AZrI89leA30h77pNpz33R7GR5JfxKqT8EPglsAyPA57XW1l4LHmZvuvzcOr2N3q4EzY5G6RoO4/d7sztj/2o+ryf8kZEoXUNh/AFvx3J5bt3zCb/X78u94ZyR9bJI+DuHmjx7XzZ33xkoWQ4Jf+dQk+dtI6F41Ko4R+vms/67WbV/q9lHXTRx4PFuVPvVxiYE612v9k/utDMYWMT1an8Y1mMFqPZbMCKcVPvHYkFCYbN5OM6q/YOBRSZ32g8dLd9qvwrWw8bmgUe6Ue2vi8JWs/vVficr+yB3tX+ruXbv9eZmtd+3vgGhoOvV/sk4DNa4X+3XLbC77H6132xln/G5k2r/YqyB9nCG1l7H1f6K4TXgpFLqKDBNMqn/XPqDlFJ3Aa3Az/Z9+Tngf1VKtab+/izwJbOT5fsb5PPAfVrrM8C1XCcrF1q6y2MiehgtsbAAACAASURBVHx7l4WJFc+qvpCKpfL+ar7dnQTzEzFPq74tXan7ct7b/dLx7V0WJj1+X/bceVPPyyTvyxVP35flstlkN55gftzb96VQXqQn+64RLMwGiWSy7z7rsWBBjlsozJN952RK9l1hozCJzp1kvzwo2OstVJj7d7CmMBXpZLJfPmRM9j2M0u585EJrHQe+SDJ5fwf4L1rrS0qp31NKfWrfQz8LfE3rO9MEU8P6/gXJNw1eA37PGOCXjbwq/Frr7+3768+Bz+RzPK8Q7qjH51ee/wV2fnyFREJ7OhkI1PppaqtnyeOT+m9NrpCIa3o9nAw0tdfjq1Ge33owP7FCYlfTcyxc6kvJSmNLHTUBn+ffPDHuSy/HsqGljpo6v+ffPFmYXGV3JyEJv3CAAAmGLPxinlnvz97TD871fusr+w6epVR6v/nKvvTPbej9Jiv7jOc40fst9/SDJ/R+Ky0QXtL7TVf2QR56/+H5+m7o/eY9/eA1vd+8px+8pvfnfJvRtt5fQDSQKJ7Tr7X+NvDttK/9TtrffzfLc/8U+FOr53Kzh//vAf852z+mphN+AWBoaMjF07qPz++juTPo+ST1zjAv7yYDkJzU7/U3T4xYdns4lj6forkz5PkkdS+WR72bWCmformrfO5LLyepSilauoJlE0uvDjgVSoNfKbr91vpDSzHM7/DKPvDyMD8nK/sgd7+6m3q/9Z5+sKf3W0v6wZ7eb9bTD24N88vUAuFM7zdf2QfO9f7sPf2ZvgNHen/qc/eH+R1c2QfO9f6BpihTK81ZVvYZ1+gdvT8RDbHbvOvyMD/BLjl9HqXUC0qpixk+Pr3vMV8G4sCfZzuO1vorWuuzWuuznZ2d7lx9AWnpLo9koLkrSLDR23pPa3cDS5E1dBHfNbNLZCRKuKPe8/3crWVwX86NxmjuDHp+zkBLd8jztkRkJEpTu9yXbhAZjdLYVkdDi7djKQiCIAjZmFopzJvWB94scpHd5sIct2Bolz48Rs4Kv9b6GbN/V0r9XeATwNP7+wvKndaeEOMXF0nsJvB5cPCY1prIaJQj9xaoZ8xFWnpCxLcTrC5v0dRWmN7EfNBaMzsSZeB0a+4Hl5iW7iA3Lyx4+r6cHY0ydLqt1JeSk5buIKNv3mI3nsBf481YRkaj9J0qh/syxHWPr9+MjEalui8cwoePFl8NdtY/3dH7rVX5wZ7en62CXW16f6YKtjt6/8EhfvuvOzMW9X6LK/vAnt5vtrLP+Hp16P3ZV/aB6P156/0mK/uMy3Ki91te2QeW9P5C4+JaPk+R75T+jwD/DPiA1trb5R2btHSHSOxqYgube0P8vERsYYONlR1P9+8btPbcmYjuxYR/ZXGT9dg2PR5W0A327svFzb0hfl5iZXGTjdh2edyX3SF0QhNb2Eiuj/QYK7c3WYtue1rnN2jpCXl6/ebK7U1Wl7boLoNYCsVF4Wz9k52VfWBP78+V0IreX216v7WVfWBP77ea9INdvd9kZd/eIe3r/VZX9mX6Dpyu7ANv6/0Gbuv9Zkk/HI6vud7vZGUfZNP7BWfk+3bJvwGagOeVUm8qpf6dC9fkCVq6kwmAVzXVyIj3e3sNjGRqyaNbD/b6pMsgSfX6fTk7Uh5zJeBOLL06q2NuNPnrVTlUpVs9fl9K/74gCIIgCDnR2p0Pj5HvlP4Tbl2I1zBWTS3NrTNc2kvJyOxojNp6P2293qtMphNsClAXqvFsYhUZiRKo89Pe5/1YtnQnKybLc+twf4kvJgNzo8lYtvV5r8qbzoFYepDZ0Sg1tT7a+71/XzZ3pWLp0YGSc6MxagI+2ge8f18KxSf7vmfzypqTIX5gQe+3UMF2ovdbrvKDJ/T+XBVs53p/pgp2/nr/4So/eFnvNx/iZxztzufW9f6DQ/zAHb3/8BA/cEPvNxviZzxX9P589P6DQ/wgP72/0IjSX2XUNwaobwx4NhmIjETpPtaM8mVcsuEplFK0dIe8m/CPxeg+GvZkT3w6wcZa6hpqvHtfGrEsg/uyLhQg2BTwcJIapXu4PO7L2voaGpprPTsEcXY0StdwGH8ZxFIoLonUdKXM659Ko/ebrewznuNE77fe0w/29P7sST841/utJLRe0vvzXdkH2fT+g0k/uKP3O+nph9Lp/eYr+4yDeUfvt5z0gyf0ficr+8CK3p/pTcg89H7BEfLbjwlenTy9vRHn9sxqWej8Bq09IZYj3lP6tzfjLEyVVyxbPLpObmdrt/xi6dHX+M72LguTq2XVc97SE2LJq7GcWCmLlh1BEARBEEqEWxP6PWgJSIXfhJbuEDcv5pROis7czRhaQ28ZJQOtPQ1c+VmE7Y04tUHv3Hbz4yvohC6rZKC1J8TEpdzv8hab+ZuxZCzL6b7sDjH2tnl1qhTM34yRSOiy6jlv6W7gxutzaK1RyjuGx63xVCzL6L4Uiscumg29ZbLvuXL0fkdD/CC33m9xiB/Y0/vNhvhBPnp/9io/ONf7zYf4gXO9P32IH4je757ef6jKD67o/daH+IE9vd9alR/s6f1mQ/wgH70/U/NAPnp/4VCA8mD/vRt4J/PyIC3dITZ+OsvW+g51oUDuJxSJyGgUFHQf9f5gNIOWfTMRuoe9c93G8EMvXVMujDdPvHZfGgP7yum+bO4OsbGyw+baDvUN3otlub15srUeZ3N1h2BTjrHLRaQcYykUj7iGlUTm9U8l0/tNVvalH8me3u9kZR/k1Pst9vRDhev9Ziv7IA+9P3tPP+Sh9+e5sg9E7z9Iut7voKcfcuv9Fnv6wZ7eb9rTDx7S+6fMHpU/idwPKUdE6TfBWCfnNU01Mhqlva/BU5XyXNxZzectrT8yGqW1t8FTyV4u9u5Lj/VLl2csvTldPjIapbUnVFax3P+mnpeIjKRi2Vg+sRQEQRAEQXCL8skYS4DxC+zy3LpndrTrhCYyGuPk2a5SX4otwp1BfD7lqSQ1Gcsoxx8ur1gaSert2TXPVC3LNZZtvcnXuOdiORLl2EOdpb4UW+z/edl3oqXEV5NEa83saJRjD5RXLIXisa39zO36ybTvufL0/oND/MAdvf/wED9wR+8/WOUHd/R+q1V+sKn3pw3xA3f0/sND/NKvVfR+cK73m1b5wXt6v4MhflA6vf9wld/4F4d6f4ERpb8KMZJUL02evj27xvZGvKx6zgH8fh/NXUFPVf9uR9bYWo+XVZ80QLijHl+Nt948MWLplaTZKk3tQfw1Pk/FcmluvSzvy6b2+mQsZ71j8SzPrbO1Vn4/L4Xisa1rmN5tJtP6p1Lp/aZJP+Sh92fSafPX+52s7IPS6f3mK/vSz21H78++sg+c6/1WV/aBPb3fLOk3/qwGvT+9px/c0vvzXNkHGfV+Jyv7oHR6/+GefuMMeej9hcKjA/fcQJR+E/x+H+HOoKd0X6MftdySAcBzq/mM/v1ySwZ8fl9yUr+H2iMiZXpf+nwqOV3eQ0lqpEx7zvdi6aHXeDn/vBQEQRAEQXADqfDnoKU7xG0P/QIbGYkSDNcS7giW+lJs09rTwPjFRRK7CU/sFp8diRJsCtDcWZ6xvDW5UurL2CNixLKr/GLZ1hNi7qa1ukQxmB2NUt8Y2FPky4m23obkUFGPEBmNUtdQQ0tX+cVSKA5bOsDN7c7M+55z6v3WqvxgT+/PVMH2st5/aIgfuKT3Z6/yg3O938kQPyid3n94iJ9x9Xnq/elD/MAVvd96lf/gCXPq/TlmwXpP708f4pf8Wr56/6EhfuCS3u8/9Pjq0/s1iNJfnbT1NTBxcZHdeAJ/jReS1GV6jzd7au2VVVp7QiR2NbGFTU8kM7MjUXqOlWkse0OMvjFPfGeXmsDhH9LFprxj2cD1c/PsbO8SqC19LCNlHMu23hDXX5tjezNObX3p//cSGYnSe6wZ5Su/WArFYXu3hpubHXe+cGD9Uy6931pPP9jT+y339INNvT/7yj4QvT/TOSpZ77fa02/86X5PP9jT+6319CcfbV3vz3SneVnvN1/Zt+/xJmTW+7P39CfP50zvzxRfL+v9qjLzfVH6c9HW20AioVmeL32Vfy26RWxhs2z11BYPbT1Yj20Tu7VB73FvDBezS1tPA1rD8txGqS+F9dg20VsbZdcaYdDW2wAaT8zq2FjdZnluvWxf4229yVqWF9qgNld3WIqsl+19KQiCIAiC4AalL8F4nLbe1ET0mTXa+xpzPLqwzN4oz55zg1ZjbdfsGkfPdOR4dGGZHUm+r9p7okxj2Wus5lujY6C096WhcJfrmyf7tx50DjWV9FrKda6EQeu+rQddR8IlvZbIWHnOQhCKy3bCz9ha2v+PKlTvPzzEzzh3nnp/WpUf3NL7rVX5wZ7eny1G1ab3Z4qRO3q/kyF+B0+YWe+3NsQP7On96UP8jM89q/enDfEzPveq3p8+xM/43LN6vyj91UlrTwilkr/AlprISBR/wEfnYGmTEqfUhQKEwrWeqPDPjkTx15RvLFu6vHNfzo5E8dUoukqcLDuluSu1MtIDsYyMRvH5yziWnUF8fsXtmdLHcnYkis+n6Bou7RsPgreJ7/qYXMnyZmUOvd/Jyj4ond5v3tN/8Cz29P7sK/vAud5vvrIPnOr9uVogRO/3qN6f3tMPntb7ra7sA5t6v9nKPuOCHen91lb2Jc9XOr2/oGhQidwPK0ck4c9BTa2fcEeQJU/8ArtM93DYE7MEnNLa443p8pGRKF3DTfgD5RnLmlo/zV0hbk97IZbLdA2FyzaW/prUykgPKP2zI1E6h5qo8cAsASf4/L7kNg4vvHkyEqVjsNETcxkE76J3FYuxhuwPMKn257uyDzJX+7eafdRFD/7W6Ua1X21sQrDe9Wr/5E47g4FFXK/2h2E9VoBqvwUjwkm1fywWJBQ2a7NzVu0fDCwyudN+6Gj5VvtVsB42Ng880o1qf10Utprdr/Y7WdkHuav9W821e683N6v9vvUNCAVdr/ZPxmGwxv1qv26B3WX3q/1mK/uMz+1U+wVnlOdv6EWmra+h5JXUna1dFiZXy7a316Clp4GlyDq6hMpMfHuXWxMrZR/Ltr4GFmdWS3oN8Z1d5isglq29pX+N7+4kmL+5UrY6v0GbF2K5m2D+ZqzsYylUJ+nJvmsE6wty2GSy7z7rsfLa+mKe7DsnU7LvChubuR/jgDvJfnlQsNdbqDD372BN7gTeCclkX0Brdz48hlT4LdDW28DNC4vs7iRKVsWcuxkjkdBl/wtsa3eIrfU4Gys7hMKl+eEyPx4jsavpKdOec4P2vgZG37xV0unyt8ZXSMTL/75s72tgrNSxnFxhN54o+zdP2voauHG+tFsPFiZXie8kynauhFBEdhU7yxb6QzPo/eY9/eBc78/e0w/O9X7rK/sOnqVUer/5yr70z23o/SYr+4znONH7Lff0gyf0fistEF7S+01X9kEeev/h+fpu6P3mPf3gNb3fvKcfvKL3Fxzv5equIAm/Bdr6GtCpSf3t/aUZkBZJDZkr9wFUralJ/ctzayVL+GdTg9F6yzyW7f2NoJNDEEs1IM2IZbnfl+0DjWiJpSsYWw9KGcu94YfHpH9fMMe3C/6oxfVP6Xp/Wk8/uK/3Z8IVvX/fGcphmJ+TlX2Qu1/dTb3fek8/2NP7rSX9YE/vN+vpB7eG+WVqgXCm95uv7APnen/2nv5M34EjvT/1uRt6/+hGJ8eCxn/xgyv7wLneP9AUZWqlOcvKPuMavaD3C04oL++mRLT13ZniXSpmR6K09TVQ3xDI/WAPs7ear4T90rMjUVp7QtQ3lncsjftysYR9/LMjUZq7giV788YtjDfyFqZK1yIRGY0S7qinobkIg2kKiBdiOTsSpbGtjsbWwijMgiAIglAK7iT77jK1Uphiw4E3i8oApbUrH15DKvwWaO1uQPkUi1OrnDzbXfTz64QmMhrjxNmuop/bbZpa66kJ+EqW8OuEJjIS5dhDnSU5v5s0d4XwB3wl6+PXWhMZjTJ8f4H6C4tIc0eQmlpfyYYgaq2ZHYkyeLq1JOd3k3BnMpaLJUr4tdZERpbpO1X+sRQKj9qF2qjN9U97er/VlX1gT++3VuUHe3p/tgp2ten9mSrY7uj9B4f47b/uzFjU+y2u7AN7er/Zyj7j69Wh92df2Qei9+et95us7DMuy57eX2A8mKy7gST8FvAHfLT2hFiYLs0vsLdn19jeiJd9by+A8ilaekIslWhS/1Jkna31yoilz6eSA9JKdF9G5zfYXN0pewUdkvdlW19jyV7jsYVNNmLbFdFz7vMp2vsbWSxRLFeXtliLblfEfSkUHrULtTHItP4pt96ffWUfONf7ra7sA3t6f66EVvT+atP7ra3sA3t6v9WkH+zq/SYr+/YOaV/vt7qyL9N34HRlH7ij9x/EPb3fwG293yzph8Pxzaz3C04Qpd8iHYONLEyW5hfYvZ7zCkgGIDXFu0RrDmdTsxAqJpZ9DSxKLF2hvb+BxenVkmyQiOzFsjKS1PaBRhamShPL2QqLpSAIgiAIRUCTfPfBjQ+PIW+XWKRjoIlrr8yxsbpNsLG4/cqzI8uEwrWEOyqjH7VjoIlrr5YmlpGRKMGmAM1d5bXuJxvtfY1c/XmkRPdllLpQzd4gxnKnvb+Rd16eZT22XfQ++tnRGLX1flp7TfaBlxEd/Y1cfmmG1aUtmtqK+3MrMhKjps5Pe39lxFIoLL5dqItqMu17zqn3pw/xA1f0fidD/MCC3m+hgu1E77dc5QdP6P25KtjO9f5MFez89f7DVX7wst5vPsTPONqdz63r/QeH+IE7ev/hIX7ght5vNsTPeK7o/U70/sKh8Gb/vRtIwm+RjsE7g6gG724r6rlnb0TpPd6MUpUxobJjKBXLiVUG7ylyLEei9ByroFgOlO6+jBix9FVILFPD5hanV4ue8EdGluk51oyvQmLZnrovF6dWi57wz9xYpns4jM8vApuQG7WrU3u4MyW0laX3m63sM57jRO+33tMP9vT+7Ek/ONf7rSS0XtL7813ZB9n0/oNJP7ij9zvp6YfS6f3mK/uMg3lH77ec9IMn9H4nK/sgl94v2EV+I7LIXmJVZK1/bXmLlcXNst9zvp/OwSYguXe8mKzHtone2qisWA6lYjle3Fhuru6wFFmvqFga0+UXp4rbIrG1vsPizFpFxdJ486TYMxE213ZYnF6l/1RltJkIgiAIglBEtHbnw2NIhd8iwcZaGlrqWJgqbmJVaf37APUNARrb6lgocsIfqcRYNgZoaqsv+psnkVEjlpWTpNY3Ju/LWxPWagxuMXsjChr6TlTOfVkbrCHcUV/0Sf2RkVQsT1ZOLIXConYTBGJxMouoovdDbr3f0RA/yK33WxziB/b0frMhfpCP3p+9yg/O9X7zIX7gXO9PH+IHove7p/cfqvKDK3q/9SF+YE/vt1blB3t6v9kQP7Cv9xccDybrbiAJvw1KMbhvdmSZmoBvT4OvFDoHm7hVglj6a3x0parilULnUBO3Joqb8E9fX8ZXo+gaDhf1vIWmayjMfIli2X20smLZ3t9Y9Dei9mJZYfelUEASmkBsa98X0n9FrSC932RlX/qR7On9Tlb2QU6932JPP1S43m+2sg/y0Puz9/RDHnp/niv7QPT+g6Tr/Q56+iG33m+xpx/s6f2mPf1gW+8XnCExtEHHQCPLkXXiO7u5H+wSkZEoXcNh/BXWj9ox2MTy/Drbm/GinXN2JErXkSb8gcqKZedQE9H5DbY2ihfLmWtLdA+HCdQe7tsqZzqPpGK5vpP7wS5hxLKmwmLZdSRc/FheX67IWAqCIAiCUGBkSr8AycQqkdAsTq0VpRq3vRnn1uQqDz87VPBzFZvOwUbQsDi9VhQtfHszzvz4Co985EjBz1VsjD7+hckV+k+1Fvx82xtxbk2s8MhHhwt+rmLTdSQ1E2FihYEiDEE0XuOVeF92DSdjOT+xUpSBktubyfuyEn9eCgVkN4FvdTPLvmfR+40/zfX+g0P8wB29//AQP3BH7z9Y5Qd39H6rVX6wqfenDfEDd/T+w0P80q9V9H5wrvebVvnBe3q/gyF+UBq9v5DIlH5hTxOduxktSsI/OxJFJzR9FTiAqmPwTmJVjIR/9kblxnJvcN9EcRL+2ZEoukL7pLuGkq/r+SIl/Huv8UqM5ZFULG/GipLwR0Yr9zUuFBCdgLWNtITWwFzvN036wXN6v2nSD3no/ZlilL/e72RlH5RO7zdf2Zd+bjt6f/aVfeBc77e6sg/s6f1mSb/xZzXo/ek9/eCW3p/nyj7IqPc7WdkHxdf7BWdIwm+DhpY6Qs21zN0szlCv6atL+PyqoobMGTS21hEM1zJfrFheS8ay51jlDJkzCIWTAyWL1cdfybGsbwzQ1F5ftK0HM9eW8fkqNJYNAcKdQeaLFcvry6gKjaUgCIIgCEVAKvyCUslhUHNjxUv4u4+GCdRVXj+qUoqeo2EiY9HcD3aB6WvLyVhWaG9v51BTUROr7uHKvC8hqfXPjxfnNT5zfZnOI00VG8vuI017m0YKzcz1ZToHG6mtl/+tCTZIaNi4UxU8vO85u95vfYgf2NP7rVX5wZ7en6mC7WW9/9AQP3BJ789e5Qfner+TIX5QOr3/8BA/4+rz1PvTh/iBK3q/9Sr/wRPm1PtNqvzgRb0/fYhf8mv56v2HhviBS3r/4d9v8tH7C4s3V+q5gfxmZJPuo2HG3lpgc22H+oZA7ic4ZKuC+6QNeo41M/bWAhur2wQbc/zEzYO9nvMK7JM26DkW5ubbRYhlahZCJfdJdx0JM3L+VsFf4zvbu8yPx3jwmcGCnaPUdA2Huf76POuxbULhwt2X8Z1d5m7GOPPkQMHOIVQmWmsSGxsZU+Zcer/lnn6wqfdb6+kHe3q/5Z5+sKn3Z1/ZB6L3ZzpHJev9Vnv6jT/d7+kHe3q/tZ7+5KOt6/2Z7jQv6/3mK/v2Pd6EzHp/9p7+5Pns6/2CfSprXHkR6D6a1EULrfXPXl9Ga+i/q/A92aXCmINQaGNi5sYyOqHpr+DeXmMOwtxoYWMZSfWcF2NWQKkwVg1GRgtbmY6MRknsavpOVn4sC926MzcWIxGvzFkIgn2UUn6l1BtKqW+V+loEQRCEMkGTrPC78eExpMJvk66hJlDJX2CP3NtesPNMXVvCX+Oj51jl7pPuOhJG+RRzYzGG7+8o2HlmrqV2c1dwb2/nkTA+n2J2NMrwmcLFcvp6que8CIMWS0X3cCqWI9GC35dKUZShlaWic7Ap+Rq/GSvofTlzfRkU9J6QhF8A4B8D7wC5/weqNXp7J+O+59x6/8EhflCdev/hIX7GufPU+9Oq/OCW3m+tyg/29P5sMao2vT9TjNzR+50M8Tt4wsx6v7UhfmBP708f4md87lm9P22In/G51/T+glOh0wEl4bdJbbCGtt4GIgWupE5fXaLnWJiaQGX29gIE6vy09zcUvJI6XaE74/cTqPXTMdhIpMD90jPXlugartyec0jelx1DTczesPa/SqfMXF+mc6iJ2mDl/hgO1PnpHGxMJuQFZOb6Mu19jQVtwRDKA6XUAPBx4PeB37LyHLP1T+Z6v4OVfZBT73eysg9Kp/eb9/QfPIs9vT/7yj5wrvebr+wDp3p/rhYI0fs9qven9/SDp/V+qyv7wKbeb7ayz7hgR3q/tZV9yfNZ0/srBaXUR4A/IhmQP9Fa/0GGx/xt4HdJ+gdvaa0/l/r6LnAh9bAJrfWnzM5Vub9pFpCe483ceH2eRELj82W8NfNic22HhalVHvvEUdeP7TV6jjZz9dVIwWJZyTvj0+k53szll2bY3U3g97vfrbOztcv8zRUe/FDl9u8b9J5o5uKL0+zuJPAH3I9lfGeXubEY9z3Z7/qxvUbfyRYuFDCWu/EEkdEop9/d6/qxhbLkXwP/FGjK9gCl1BeALwDUEwIyr3/KVe2vi8JWs/vV/nxX9iWv43C1f6vZR130YPnKjWq/2tiEYL3r1f7JnXYGA4u4Xu0Pw3qsANV+C0aEk2r/WCxIKLyR9XtyWu0fDCwyuXPYVM232q+C9XuDMN2s9t95vd05shvVficr+yB3tX+ruXbv9eZmtd+3vgGhoOvV/sk4DNa4X+3XLbC77F61n3jO0+aFKpKOr5TyA38MfAiYAl5TSn1Ta31532NOAl8CntBaLymluvYdYkNr/aDV80kPvwP6T7WwvRFncWq1IMefubYMmorukzboORZmZ3OXxekCxfJGahZCBffvG/Qcaya+kyjYfRkZiZKo8FkIBn3HW9iNJ5gv0KrDubEYu/EE/VXQc953MhnLuQJtPpgbixHfTjBwd1tBji+UD0qpTwDzWutzZo/TWn9Fa31Wa302cCAxtced5KM8SE/2XSNYX5DDJpN991mPBQty3EJhnuw7J1Oy7wr7tl64ibzeUoQKc/8O1uRO4J2QTPbLiOL18D8G3NBaj2qtt4GvAZ9Oe8w/BP5Ya72UvDQ97/Tbkgq/A/pTQ7amry3ROZS1iOCYqWtL1AR8dA9Xbv++QV/qTY3pq0t0Drofy+lU/3417OY2esFnb0TpOuL+vTN9fSm557yCe84NevZiuVyQHvupK0vJ/v0q6Dk3vseZ68v0FeD7nXznNkpB/12VH0shJ08An1JKfQyoB8JKqa9qrX/V6gHs6f3ZV/aBc73fvKcfnOv92Xv6wbneb31l38GzlErvN1/Zl/65Db3fZGWf8Rwner/lnn7whN5vpQXCS3q/6co+yEPvPzxf3w2937ynH7ym95v39INtvb/AFX4X6VBKvb7v71/RWn9l39/7gcl9f58C3pV2jFMASqmXSQbqd7XW3039W33q+HHgD7TWf2l2MZLwO6ChpY6W7hDTV5d48Bn39ebpq0v0HG8uiP7qNZra6mnuCjJVoFjOXFui52gzNRXcv2/Q2FpPuDPI1JXbPPC0+6vepq4s0XWkqSr2nIfCtbR0h5J9/B92f53jZD2crQAAHh1JREFU5Du36RoOV0XPeX1DgPb+BmavL8NH3T/+1JVkLOtClR9LwRyt9ZdI6o8opZ4EfjtXsq98CuXzZ13/ZH2YX6aE1qHen9bTD+7r/ZlwRe/fd4ZyGObnZGUf5O5Xd1Pvt97TD/b0fmtJP9jT+816+sGtYX6ZWiCc6f3mK/vAud6fvac/03dgVe/XW1uoujoLK/sgPfE30/tHNzo5FjT+ix9c2QfO9f6BpihTK81ZVvYZ12hD718/9FD30EDCNaV/QWt91uTfM72fkX7yGuAk8CQwALyklLpPa70MDGmtZ5RSx4AfKKUuaK1Hsp2s8jPKAtF3qoWZ68sk3LsxANhY2eb2zFpFr+NLZ+DuNmauLbO7667+tLW+w62JFfqqQEE3GDzdxnQBYrm5tsP8zRiD91SPNt13MvkaL1gsT1dRLE+0MDsSJeH2a3wjztzNFQburp6fl4IgCEL1ouqctyGZcSfZd5eplXKyQl3S+a0p/VPA/urcADCT4TF/pbXe0VqPAVdJvgGA1nom9eco8CLwkNnJKr9UVyD6T7Vw+aUZFiZXXNWnp64uATBQTQn/Xa1c+vE0t8ZXXFXvJ99ZQmsYqqLEavB0MpZzYzFX9empK6lY3lO4VZReY/B0G5d/MuN6LKevJmNZVW+enGrlwo+mmXf5NT59dQmd0AxK/76Qhtb6RZK/BJmjfKja2ozrn3Lp/eYr+8C53m91ZR/Y0/utVfnBnt6frYJdbXp/pgq2O3r/wSF++687Mxb1fosr+8Ce3m+2ss/4enXo/dlX9oHo/Y71/iVLF14OvAacVEodBaaBXwE+l/aYvwQ+C/y/SqkOkor/qFKqFVjXWm+lvv4E8L+bnUwSfocYffxJzdm9hH/i8m3qQjV0HXG/n92rGL23U1eWXE0GJi4tUheqofto5c9CMOg/1YpSSWXczSR14vIitcEauoer574cPN2K8ikmL7sby8l3bhOo91fVfTlwd/K+HL+46OprfOrKEjW1vqqY0SEUCJ/vYMUsbf2Tmd5/uKcf3NH7s6/sA+d6v9WVfcZ3YVXvz5XQit5fbXq/tZV9YE/vt5r0g12932Rl394h7ev9Vlf2ZfoOnK7sA3f0/oO4p/cb5KP3F5wiTenXWseVUl8EniP5Tf+p1vqSUur3gNe11t9M/duzSqnLwC7wP2mtF5VS7wH+vVLKeC/6D/ZP98+EKP0OaWipo72/kfGL7k2R1QnNxMVFBu9pw1eAtWpeJdhYS/tAI1NX3JsQqrVm4tIig6erK5b1DQE6j4SZesfdWE5evs3g3a1VFcu6UIDu4TATl1x8jWvN5Du36T/VWpDViV6lviFAz7Fmd39eas34xYVkLKtg3okgCIIgCAWmeEo/Wutva61Paa2Pa61/P/W130kl++gkv6W1vkdrfb/W+mupr/809fcHUn/+P7nOJRX+PBg+08755ybYXNtxZfjWwtQq67FtjtxXPdq0wZF723njefdiuTi9ylp0m6F7q0/1HTzdyvnnJtha33FlkNnS7DqrS1uc/Vj1xXLo3jZe/dYYG6vbBBvzXy2zPLdObGGzIAMqvc7Qfe288lejrEW3aGjOvwdxKZKM5UPPuj9UUagifAqVvuaq1Hp/+hC/1KHy1fudDPEDC3q/hQq2E73fcpUfPKH356pgO9f7M1Ww89f7D1f5wct6v/kQP+Nodz63rvcfHOIH7uj9h4f4gRt6f/oQP4Nq0fsFZ0j88mD4/g7OfWec8YuL3PWunryPN35xAVR19UkbHH2wg/PPuRfLiUvJHzRD91ZfLI/c2753X556zI37MvmraTXGcvCeNl796zEm37nNqUfzj+XYW8lfvobPdOR9rHLjSCrhn7h0m9Pv6c37eDcvLOwdVxAc4/dBKJh5/VMOvT/TL+jVqPebrewznuNE77fe0w/29P7sST841/utJLRe0vvzXdkH2fT+g0k/uKP3O+nph9Lp/eYr+4yDeUfvt5z0Q0n1/oLi7pR+TyEeZB50D4cJNgUYv2D+Pw+rjF9cpOtImFA4/0piudF9JEyouZaxt9yZEnrzwgLtA42uVBLLjZ5jzYTCtYy84U4sx966RcdgI01t9a4cr5zoOpJ8jY+96c5r/ObbC1Uby46BRkLNtck3Nl1g/MIi7QPVGUtBEARBENxG33ljLt8PjyEV/jxQPsWR+zsYfeMWu7uJvHpy12PbRMZiPPrxoy5eYfmgfIqjZzq4+uoc8Z1dagLO39Vbi24xOxKt6lgee7CTKz+bZWd7l0Ct81iux7aZHY3y2CeqM5Y+n+L4Q11c+fksO1u7BOqcx3JjJRnLRz827N4FlhFKKYbPdHDt1bm878vNtR1mR6I8/OHqa40Q3EX7FImm+gPVxwOY6P3pQ/yMz0Xvd0fvdzTED3Lr/RaH+IE9vd9siB/ko/dnr/KDc73ffIgfONf704f4gej97un9h6r84Ireb32IH9jT+61V+cG63i/YRxL+PDn2QAdXfjrL5OXbDN/vXNMdffMWaDj+UKeLV1deHH2wk0svzTB1ZSmvWI69tVD1sTz2cCcXfzzNxKVFjj/U5fg4Y28l78ujD1RvLE880sXFH08zfnGRE484j+XNC4tVH8uTZ7u5/NIMN99e4OTZbsfHGb+4iE7ovH5OCAKA9iviTXWZ1z/tR/T+ve/iULJmsrIv/Uj29H4nK/sgp95vsacfKlzvN1vZB3no/dl7+iEPvT/PlX0gev9B0vV+Bz39kFvvt9jTDx7R+4s0pb/YiNKfJ0P3tlPXUMO1VyJ5HefGuTlae0K09TW4dGXlx8CpVupCNVx/Lff/rswYOT9PS3d1x7L/ZAv1DQFGzuen9Y+9tUC4o572/uqNZe/JFkLhWm68nt99OfrmLRpa6ugYbMz94Aql72QLDc21eb/Gr78+R2NrHd3D1bPaUBAEQRCEAmL08Lvx4TGkwp8n/hofJ892885PZ9naiFMXtB/S9dg2M9eWeeRjwyiVsbZQFfgDPk4+mozl+x1OmN9c3WH62jIPPTtU1bH0+X0ce7iTa69EHN+XW+s7TF65zf0fGKjuWPoUxx/u4vLLM2xvxqmttx/LzdUdJi4tcv9TEssTj3Zz4YdTjjdybK7tMHnpNmeeHkT5qjeWgjsk/Iqd5jv3YXod/gBpen96lR8OV+RE789H7z84xA/c0fsPD/EDd/T+g1V+cEfvt1rlB5t6f9oQP3BH7z88xC/9WkXvB+d6v2mVH7yn9zsY4gdmer/gBEn4XeCux3u4+KNpRs7Pc88TfbafP/rGPFrDiYed68KVwun39HLxR9Ncf32e+97fb/v5o2/eQid0Vev8Bvc80cfll2a4/mqE+z4wYPv511+fJxHXnHrMuXpdKZx6rJsLL05x7dU5R/fljfPzJHY1d7mwNaHcOfVoN2+9MMnI+XnufZ/9WI6cnyeR0Jw8Kz8vhfzRftgKZ17/VCq93zTpB8/p/aZJP+Sh92eKUf56v5OVfVA6vd98ZV/6ue3o/dlX9oFzvd/qyj6wp/ebJf3Gn9Wg96f39INben+eK/sgo97vZGUfmOn9BUaUfiEb3cNhmruCXPnprKPnX3tVdH6DzqEm2vsbeMdhLC+/PENrbwOdQ00uX1n50XWkiY7BRi79ZAbt4AfYlZ/N0tYnsQToPhqmY7CRiz+adhTLa69EaOtrqGqd38B4jV940Vksr78+R3NXUO5LQRAEQRDcRWt3PjyGVPhdQCnFfe/v5+W/uMHcWIzuo9b7ShenV5kdifKeXzpR1aqvgVKK0+/p4yf/9Tq3JlZs/VK/OL3K3FiMJz4jsYRkLO99bx8/+k/XuDWxQtcR6/flUmSNubGY3JcplFLc/4EBfvjVK8yOROk70WL5ubGFDWZHojz+t45JLEnG8sxTg/zwq1eYubZM/12tlp8bW9hg+toyZ6u8/UlwD+2HrebMA6Fy6f1mVX44XFO0qvdbH+IH9vR+a1V+sKf3Z6pge1nvPzTED1zS+7NX+cG53u9kiB+UTu8/PMTPuPo89f70IX7git5vvcp/8IQ59f4cG7a9p/enD/FLfi1fvf/QED9wQe8X7CIJv0vc894+Xvubm7zx/AQf+cJ9lp938UfT+Gt8nH53bwGvrry4+z29vPrXo5z77k0+8oX7LT/v8ssz+PyKux4Xbdrg5GM9/PQbI7zx/AQf/gfW78srP5tF+ZTo/Ps4+Wg3L3/9BhdenLKV8F/88TRKwSnR+fc49Vg3P/v/RnjrB5O2Ev4LL07tvZElCG6g/bAdhmzitKneb7KyD5zr/ZZ7+sGm3m+tpx/s6f2We/rBpt6ffWUfiN6f6RyVrPdb7ek3/nS/px/s6f3WevqTj7au92e607ys95uv7Nv3eBMO6v2FxJvVeTcQpd8lautruO/9fYy+MU/01oal52xvxrn6SoQTZ7uob7Q/vKpSqQvWcP+TA4y8cYulyJql5+xs7XL1lQjHHuwk2FiMHwrlQV2whvufGuDGuXkWZ1YtPWd7M86ll2Y4eqaDhua63E+oEgJ1fu59bx8jdmK5EefSj6c5/nAXTW31Bb7C8qGm1s+97+tj7O0Fy6/x7c04l1+e5fjDnTS2SiwFQRAEQXARDSQS7nx4DKnwu8iZpwZ58/uTvPqtUT70+XtzPv7yT2bY2dp1NASs0nng6UHe+v4k574zzjOfvyfn4y+8OMXWWpwzHxwswtWVFw89M8SFH07x+t/c5MP/MHeV/+KPptlaj/PIR48U4erKi4c/fIRLL03zyl+N8rH/7kzOxycn++/y4IeGinB15cWZDw7y9otT/PQbI3z8v88dy2uvRNjeiHPmKXmNC+6h/bDdvP8rXtD7Dw7xg+rU+w8P8TPOnafen1blB7f0fmtVfrCn92eLUbXp/Zli5I7e72SI38ETZtb7rQ3xA3t6f/oQP+Nzz+r9aUP8jM+d6v2CMyThd5GGljoeemaIc98d57739dNrov1ure/w+nduMni6lZ5jzVkfV60Em2q5/6kB3vjeBPe8r89Uod7eiHP+e+MM3dtG73GJZTr1jQHOPDXAue+O88DTUdP7Lb69y5svTDB4T5utnv9qob4xwIMfGuLVvx4jMpo7lm99f5K+ky2yLz4DoXAtj3zkCD//y1Gmry6Zqv3bm3HOfXecruEwPcckloKL+BPEm3fJvP6pVHq/g5V9kFPvd7KyD0qn95v39B88iz29P/vKPnCu95uv7AOnen+uFgjR+z2q96f39IOn9X6rK/vApt5vtrLPuGAben/BqVClXxJ+l3nko8NcfSXCj//zNT7zP5/F78/8Tvi5746ztR7n3b94oshXWD48+vGj3Hh9nhe/eoVf/vJj+AOZY/nmCxNsrcV516eOFfkKy4eHP3yEq69G+P5/eIdf/vKj1NRmHn5y7rlxNlZ2OCvV/aw88PQgl348zQ/+7B3+my89SqAucyxf+5ubrC5t8fSv5zZUqpUHPjjIxR9P7/28DGS7L787zurSFs/+g/tkWJ/gKjX+BP6W7Szrn8yr/SoUhPW0Fj4Xqv11Udhqdr/an+/KvuR1HK72bzX7qIseVFjdqParjU0I1rte7Z/caWcwsIjr1f4wrMcKUO23YEQ4qfaPxYKEwmYtqM6q/YOBRSZ32g8dLd9qvwrWw8bmgUe6Ue2/83q7c2Q3qv1OVvZB7mr/VnPt3uvNzWq/b30DQkHXq/2TcRisca/afz7H+fKmQhN+6eF3mUCdn/f+7ZMsTK7y0teuZVw7FRmL8vYPprjrXT10DspqqWwE6vy8/7OnWIqs8/JfXM8Yy9kby5z7zjgnznZJRdqE2mANH/y10yzPrfPTb4xkvi9Ho5z7zjh3Pd5D30nrg9Sqjdr6Gp7+/D0sza3zk/96PeNjFqZWeOP5Ce5+Ty8DNobSVRs1tX6e/G/v5vbsGj/6j1cz3pe3Z9Z484UJ7nq8RwwewVukJ/sucSf5KA/Sk33XCBZmVkcy2Xef9ViwIMctFObJvnMyJfuusLGZ+zEOkNdbilBh7t/BGg9U7S2jIeHSh8eQCn8BOP5QFw9/+AjnnxunsbWeRz56ZK8qFVvY4Nv/19s0tNTyxC9JdT8Xw/d38OAzg7z5wiT1TbU8+vE767hWbm/y3P99kcb2ep783F0lvlLvM3i6jQc+OMhbP5gkUOc/sCZueX6d5//0Eo0tdbzvl0+V+Eq9z+DdbTz0oSHe+N4E9Q01PP7p4yhfKpZz63z7316gvjEgr3ELHLm3nUc/fpTXvjVGY2sd7/rksb1YRm9t8M3/803qgjW8+xeOl/hKhUok4N+lpXnNZP1Tdr3frKcf8tH7s6/sA+d6v3lPPzjX+7P39INzvd/6yr6DZymV3m++si/9cxt6v8nKPuM5TvR+yz394Am930oLhJf0ftOVfZCH3n94vr4ber95Tz9Upd5fQUjCXyAe//QxYosbvPLNUaauLnHq0W7WY1u8+cIkAJ/44gMEm2SavBXe84sn2Fzd4bVvjTF9dYm7393DWnSb88+NozX84hcfoC4kWw6s8MRnThDf2eX8c+PMjUW56/Fe1mNbnH9uAuWDT/zGA9QF5ceCFR7/9LHk/IjnJpgfX+HUY92sLm3x9g+nAPjkbz5AfYPcl1Z49GPDrNze5Nx3xomMxjh5touNlW0uvDjN7m6CX/ith2VjhFAQ6nxxBpqie38/uP7JXO837ekHl4b5ZUpoHer9aT394L7enwlX9P59ZyiHYX5OVvZB7n51N/V+6z39YE/vt5b0gz2936ynH5zr/YGVHXaassnx3tP7t8OK2phxsINJf6bvwKrer7e2UHV1Flb2gR29f3Sjk2NB47/4wZV9kP8wP1fRoHWBDIoSI7/ZFwjlUzz79+9l4K5Wfvr1G0xfXQJg+P52Hv+F47T2NJT4CssH5VM89XdO0300zKvfGuMHf3YFgP67WnnqV++mubO8NLpSonyKD3zuLlp7GnjzhQl+8GfvANB9NMyzf/9ewh0SS6v4/L69WL7x/ETyvlTQPRzmmV+/h5buUKkvsWxQPsUHf+1ueo6G+dlfjuz9vBy4u5X3/NIJ2vsbcxxBEARBEOxzJ9l3l4NvprlHrbV3H2yj6gpzvXeS/TLBgzq+G0jCX0CUUtz7vn7ufncv67FtdEJLQuUQn09x3wcGuPvdvawubxGo9RNqrpUBXg5QSvHA04Pc92Q/S7PrNLbWSSXaIUYszzw1wOLMGg3NtWLuOMT4eXnPe/uIzm/gq1GE2+XnpVBY6nxxhhsO1slLrfebr+xLnsWZ3m91ZR/Y0/utVfnBnt6frYJdbXp/pgq2O3r/wSF++687Mxb1fosr+8Ce3m+2ss/4enXo/dlX9oHo/UJmJOEvAv4aH01thRk+U23U1Ppp6ZLKqRv4/T46BqRy6gbKpySWLqGUEjtCKBq1Kp61AlUqvf9wT79xhnz1/uwr+8C53m91ZZ/xXVjV+3MltKL3V5veb21lH9jT+60m/WBX7zdZ2bd3SPt6v9WVfZm+A6cr+8Advf8gHtX7K3RKvyT8giAIgiAIgiAIQvWiNSSkh18QBEEQBKFiqFVxhmuzV2jN9X7/ocd7Wu9PH+KXOlS+er+TIX5gQe+3UMF2ovdbrvKDJ/T+XBVs53p/pgp2/nr/4So/eFnvTx/idxinen/2IX7gXO9PH+KXJH+9P32In4H39H7BCZLwC4IgCIJQldQobWlPdGa9P3tPPzjX+zP9gl6Ner/Zyj7jOU70fus9/WBP78+e9INzvd9KQuslvT/flX2QTe8/mPSDO3q/k55+KJ3eb76yzziYd/R+y0k/WNP7C40o/YIgCIIgCIIgCIJQeWhR+gVBEARBECoHP4pOiwOhiqX3pw/xMz4Xvd8dvd/RED/IrfdbHOIH9vR+syF+kI/en73KD871fvMhfuBc708f4gei97un9x+q8oMrer/1IX5gSe8XHCEJvyAIgiAIVYkPH80qYGv90x2939rKvuR5RO8//PnB7+JQsmaysi/9SPb0ficr+yCn3m+xpx8qXO83W9kHeej92Xv6IQ+9P8+VfSB6/0Eytzy5pfcXFi1KvyAIgiAIgiAIgiBUHBpISMIvCIIgCIJQMZx/e2uhuX9y/OBXJ0tzMUk62EmVh3eANXcOegN4xZ1D7eOm60e0hKYDWGAL2Ep9bSX/w15L/fly/ofax4irR7NBBzoVI0jGyVoJOifvuHOYFDOuHs0mHcRZICVHsIlV7zwnb7tzmBRTrh7NNvHU6y0OGF0rS/kf9rzzpx7J/+zVhyT8giAIgiBUJVrrzlJfw36UUq9rrc+W+jq8jMQoNxKj3EiMrFF1cdIytO8QSql/AXyaZJfFPPDrWuuSvl0nCIIgCIIgCIIgCFbRgK5QpT/fCQh/qLU+o7V+EPgW8DsuXJMgCIIgCIIgCIIgCHmSV4Vfa72/I6iB5JsjgiAIgiAIgn2+UuoLKAMkRrmRGOVGYmSN6omT1qL0Z0Mp9fvA3yG51+Upk8d9AfgCwNDQUL6nFQRBEARBqCi01tXzy7VDJEa5kRjlRmJkjWqLU9Uq/UqpF5RSFzN8fBpAa/1lrfUg8OfAF7MdR2v9Fa31Wa312c5OT83IEQRBEARBEARBEISKI2eFX2v9jMVj/Ufgb4B/ntcVCYIgCIIgCIIgCEIxqVClX2ntXF1QSp3UWl9Pff6bwAe01p+x8LxbwHiux1UgyV2WghtILN1DYukeEkv3qNZYHvHaqjihNCilfhv4Q6BTa12Nr4WsKKX+EPgksE1y2f3ntdYubVEvb5RSHwH+CPADf6K1/oMSX5KnUEoNAn8G9JDcMvYVrfUflfaqvIlSyg+8DkxrrT9R6uspNEqp75L83cMNFrTWH3HpWHmTb8L/deAuki+YceAfaa2nXbq2iqPqdlkWEImle0gs3UNi6R4SS6GaSSUlfwLcDTwiCf9BlFLPAj/QWseVUv8bgNb6n5X4skpOKkG7BnwImAJeAz6rtb5c0gvzEEqpXqBXa31eKdUEnAP+lsToMEqp3wLOAuFqSPgrmbzW8mmtf0lrfV9qNd8nJdkXBEEQBEHIm/8D+KfI9qOMaK2/p7WOp/76c2CglNfjIR4DbmitR7XW28DXgE+X+Jo8hdZ6Vmt9PvX5CvAO0F/aq/IeSqkB4OMk33gUypy8En5BEARBEATBPZRSnyKp0L5V6mspE/4e8J1SX4RH6Acm9/19Cklms6KUGgYeAl4p7ZV4kn9N8k3HymxqrzLyXssn2KKqVlsUGImle0gs3UNi6R4SS6FiUUq9QLKHOJ0vA/8L8Gxxr8h7mMVIa/1Xqcd8GYiT3BQlgMrwNbFEMqCUagS+DvwTrXWs1NfjJZRSnwDmtdbnlFJPlvp6hPzJq4dfEARBEARBcAel1P3A94H11JcGgBngMa11pGQX5kGUUn8X+EfA01rr9VyPrwaUUu8Gfldr/eHU378EoLX+lyW9MI+hlAoA3wKe01r/q1Jfj9dQSv1L4NdIvplWD4SBb2itf7WkFyY4RhJ+QRAEQRAED6KUugmclaF9B0lNov9XJLdD3Sr19XgFpVQNyaF9TwPTJIf2fU5rfamkF+YhlFIK+A/Aba31Pyn19XidVIX/t2VoX3kjPfyCIAiCIAhCOfFvgCbgeaXUm0qpf1fqC/ICqUGGXwSeIzmM7r9Isn+IJ0hWrz+YunfeVEp9rNQXJQiFRCr8JUL26+aP7OHNH9nX6w6y19d9qm3/ryAIgiAIQiGQCn8JSCUHHwImSn0tZc7zwH1a6zMkFbYvlfh6yopUQvXHwEeBe4DPKqXuKe1VlS1x4H/UWp8GHgd+Q2KZN/+YZIVKEARBEARBcIgk/KVB9uu6gOzhzRvZ1+sSstfXXWT/ryAIgiAIgjtIwl9kZL9uwZA9vPaRfb0FQPb6uoLs/xUEQRAEQXCBmlJfQCUi+3XdQ/bwFhTZ1+systc3f2T/ryAIgiAIgntIwl8AtNbPZPp6ar/uUeCt5FYQBoDzSinZr5uFbLE0SO3h/QTJPbySrNpjChjc93dj37PggNRe368Df661/kapr6eMeQL4VGpqcj0QVkp9Vfb/CoIgCIIg2Eem9JcQ2a+bH7KHNz9kX697yF7fwiD7fwVBEARBEPJDeviFckb28OaB7Ot1FdnrKwiCIAiCIHgOqfALgiAIgiAIgiAIQgUiFX5BEARBEARBEARBqEAk4RcEQRAEQRAEQRCECkQSfkEQBEEQBEEQBEGoQCThFwRBEARBEARBEIQKRBJ+QRAEQRAEQRAEQahAJOEXBEEQBEEQBEEQhApEEn5BEARBEARBEARBqED+f3PGvmhWU+zsAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This specific block of code is from GPSS 2018 Lab 1: http://gpss.cc/gpss18/labs\n", + "ks = [ # List of example kernels\n", + " GPy.kern.RBF(1, lengthscale=1.),\n", + " GPy.kern.RBF(1, lengthscale=0.5),\n", + " GPy.kern.RBF(1, lengthscale=0.25, variance=2.),\n", + " GPy.kern.Exponential(1),\n", + " GPy.kern.Matern32(1),\n", + " GPy.kern.Matern52(1),\n", + " GPy.kern.StdPeriodic(1, period=2.),\n", + " GPy.kern.Cosine(1),\n", + " GPy.kern.Brownian(1),\n", + " GPy.kern.Linear(1),\n", + " GPy.kern.Bias(1),\n", + " GPy.kern.White(1),\n", + " GPy.kern.StdPeriodic(1)*GPy.kern.RBF(1),\n", + " GPy.kern.Linear(1) + GPy.kern.Exponential(1)\n", + "]\n", + "# The name of our kernels (for the legend)\n", + "kernel_name = [\"RBF ls=1\", \"RBF ls=0.5\", \"RBF ls=0.25, var=2\", \"Exponential\", \"Matern 3/2\", \n", + " \"Matern 5/2\", \"Periodic\", \"Cosine\", \"Brownian: $k(t, t^\\prime) = a * min(t, t^\\prime)$\", \"Linear\", \"Bias\", \"White\", \"Periodic x RBF\", \"Linear + Exponential\"]\n", + "\n", + "# Our sample space - note the [:, None] notation is a \"shorthand\" way to take\n", + "# a dimensionless array and make it n x 1\n", + "X = np.linspace(-5., 5., 250)[:, None]\n", + "\n", + "print(\"The following plots demonstrate samples from a Gaussian process prior and the corresponding covariance matrix\")\n", + "\n", + "# Loop through our kernels\n", + "for i,k in enumerate(ks):\n", + " # The mean function is set to 0\n", + " mu = np.zeros((250)) # we have 250 sample inputs\n", + " # Get the covariance matrix\n", + " if i is not 11:\n", + " C = k.K(X,X)\n", + " else: # We have to sample White noise kernel differently\n", + " C = k.K(X)\n", + " \n", + " # Sample 5 times from a multivariate Gaussian distribution with mean 0 and covariance k(X,X)\n", + " Z = np.random.multivariate_normal(mu, C, 5)\n", + " \n", + " # Setup figure environment\n", + " plt.figure(figsize=(18, 7))\n", + " \n", + " # Show samples on left hand side\n", + " plt.subplot(121)\n", + " for j in range(5 if i < 11 else 2): # Loop through samples\n", + " plt.plot(X[:],Z[j,:])\n", + " plt.title(kernel_name[i])\n", + " \n", + " # Visualise covariance matrix on right hand side\n", + " plt.subplot(122)\n", + " plt.pcolor(X.T, X, C)\n", + " # Annotate plot\n", + " plt.gca().invert_yaxis(), plt.gca().axis(\"image\")\n", + " plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IcCmu72l7kRK" + }, + "source": [ + "And to get our hands a bit dirtier, why don't we try coding up the GP prior with an RBF kernel from scratch\n", + "1. Hints start by creating a radial basis kernel function\n", + "2. `np.meshgrid` and `np.random.multivariate_normal(mean, kernel, number_of_samples)` will help" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "executionInfo": { + "elapsed": 424, + "status": "ok", + "timestamp": 1617137595178, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "WqwYVtue7euU" + }, + "outputs": [], + "source": [ + "def rbf_kernel(x, gamma):\n", + " m, n = np.meshgrid(x, x)\n", + " return np.exp(-gamma * (m - n) ** 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "executionInfo": { + "elapsed": 530, + "status": "ok", + "timestamp": 1617137624706, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Mjm_jthg7fw5" + }, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "K_rbf = rbf_kernel(x, gamma=1)\n", + "mean_rbf = [0]*K_rbf.shape[0]\n", + "data = np.random.multivariate_normal(mean_rbf, K_rbf, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 374 + }, + "executionInfo": { + "elapsed": 741, + "status": "ok", + "timestamp": 1617137626352, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "i2j1xwY37iEj", + "outputId": "40c27235-3141-4ae8-de9a-03ecf48b6d3c" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8, 6))\n", + "for i in range(data.shape[0]):\n", + " plt.plot(x, data[i, ])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dO1j82S56eh5" + }, + "source": [ + " 1. Generate the function that we will use for our exercises.\n", + " $$f(x) = sin(2x)+0.2x$$ $$y = f(x)+\\epsilon$$\n", + " 2. Generate some example data for the function" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 641 + }, + "executionInfo": { + "elapsed": 919, + "status": "ok", + "timestamp": 1617137649904, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "rekKo4NQ6lOK", + "outputId": "84962863-263f-49f5-c168-ea6b57711fbf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1\n", + "4558545735.370782\n", + "0\n", + "1\n", + "4559396806.199758\n", + "0\n", + "1\n", + "4570608920.845884\n", + "0\n", + "1\n", + "4544696292.495313\n", + "0\n", + "1\n", + "4568788728.1907835\n", + "0\n", + "1\n", + "4537628773.41834\n", + "0\n", + "1\n", + "4603892598.107255\n", + "0\n", + "1\n", + "4605659539.875027\n", + "0\n", + "1\n", + "4598114532.910886\n", + "0\n", + "1\n", + 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"text/plain": [ + "[]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 100\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "Y_grid = f(X_grid)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# Show function with noise\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] 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"metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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r11O8ePGrdn/fddddbN++nZMnT7p0WSIiuU1lLC4VGhpKhQoV+Oabb1w2T2st0dHRNG3a9Krn77rrLipUqMC+fftctiwRESfoAC5xKR8fH7p27cqnn37KxYsXKVKkSI7n+euvv3L69OlryrhFixYcOXIEY0yOlyEi4iSVsbhcREQEVatWTft+N6f+uthH+jJWCYuIp9BuanG50NBQRowYgb+/v0vmV716dZ566inq1at3zbTZs2dTvXp1zpw545JliYg4QWUsbnH27FlmzZrlkq3j0NBQJk+ejJ+f3zXTSpYsyW+//cbSpUtzvBwREaeojMUtfvjhBx588EFWrVqVo/kkJiayffv2a84z/sudd95JhQoV3H6TChERd1IZi1u0b9+eQoUK5fio6h07dlC/fn0+//zzDKf7+fkxcOBAvv/+e3799dccLUtExCkqY3GL4sWL065dO7755hustdmez8KFC4GUXdXXM2DAAHx8fJg6dWq2lyMi4iSVsbjN/fffz8GDB9m0aVO2Xn/27FnGjRtH27ZtqVmz5nXHVapUif/+97888MAD2Y0qIuIondokbtO5c2d8fHz48ccfady4cZZfP2HCBE6ePMlrr71207H/+Mc/shNRRCRPUBmL25QpU4a9e/cSHByc5ddaa/nyyy/p3LnzDXdRX2nnzp3MnTuXESNGZHl5IiJOUhmLW/11/+GsMsYQFRWVpRtOLFmyhJEjR3LPPfcQEhKSreWKiDhB3xmLWx0+fJg+ffqwdu3aTL/m7NmzxMfHU6hQIcqVK5fp1/Xp04eiRYtedd9jEZH8QGUsblW8eHFmzJjB4sWLbzguMTEx7ajrV199lTp16nDhwoUsLatEiRL06tWLzz77jNOnT2c7s4hIbrtpGRtjChtjoowxW4wx240xozMYE2GMOWGM2Zz60989cSW/KVmyJPXr1+fnn3/OcPpfu6E//vhjatSowfDhw5k0aRJ33XUXRYsWzfLynnzySS5dunTd85JFRPKizGwZxwOtrbUNgduB9saY5hmM+8Jae3vqzzSXppR8rWXLlqxZs+aaq2idPXuW8uXLM378eKpWrcqtt97KhAkTSEpK4uWXX87Wsho2bEhISAgXL150RXQRkVxx0wO4bMq+w3Opv/ql/mT/Kg7idcLCwnj//ffZtm0bDRs2THt+yZIlxMfH07hxY8LDw2nXrh2xsbHExsZSo0aNbC3LGJN2lycRkfwiU98ZG2N8jTGbgT+AxdbadRkM62aMiTHGzDLGBF1nPgONMdHGmOgTJ07kILbkJy1btuS2224jNjb2qufnz59PiRIlaNmyZdpzpUuXvuEFPrIiOTnZJfMREXG3TJWxtTbJWns7UBloZoypn27It0CwtbYBsAT45DrzibTWhlhrQwIDA3OSW/KR4OBgduzYQatWrdKeS05O5rvvvqN9+/YZ3o0pJ06fPk3NmjWZMmWKS+crIuIuWTqa2lr7J/AT0D7d86estfGpv34ANHFJOvEoV26pbtiwgePHj9OpUyeXL6dUqVIkJiaybNkyl89bRMQdMnM0daAxpmTq4yLAPcCudGMqXPFrF2CnK0NK/jdv3jzKlCnDwYMHgZSLgbz//vvce++9blleeHg4y5cv165qEckXMrNlXAFYZoyJAdaT8p3xfGPMq8aYLqljhqae9rQFGApEuCeu5FeVK1fm9OnTafc3LlOmDIMGDSIgIMAty2vVqhWnTp1i+/btbpm/iIgr3bSMrbUx1tpG1toG1tr61tpXU59/2Vo7L/XxSGttPWttQ2ttK2vtrhvPVbxNgwYNKF68OKtWreLYsWNMmzbNrRfmCA8PB+Cnn35y2zJERFxFV+CSXFGgQAGaN2/Ozz//zLx58xgwYABHjx512/KqVq3K8OHDadCggduWISLiKipjyTVhYWHExMQwc+ZMqlWrxm233ebW5Y0bN467777brcsQEXEFlbHkmo4dOzJkyBBWrFhBp06dMMa4dXnWWnbs2MEff/zh1uWIiOSUylhyTUhICH//+98B3HJKU3qHDh2iXr16/O9//3P7skREckJlLLnqt99+o2zZsrmy+7hKlSpUq1ZNB3GJSJ6nMpZcVa1aNd58800KFSqUK8tr1aqVzjcWkTxPZSy5qmPHjjz22GO5trzw8HBOnz5NTExMri1TRCSrVMbi0f4633jp0qXOBhERuYGb3kJRJD8LCgriu+++IywszOkoIiLXpTIWj9ehQwenI4iI3JB2U4vHO3/+PG+++SbLly93OoqISIZUxuLxChYsyNixY5k+fbrTUUREMqQyFo/n5+fH3//+d7777jud4iQieZLKWLxCp06dOH78OBs2bHA6iojINVTG4hXat2+Pj48P3333ndNRRESuoTIWr1CmTBnuvvtuYmNjnY4iInINndokXmPJkiX4+OjvTxHJe/TJJF7jryJOSkpyOImIyNVUxuJVHnroIXr06OF0DBGRq6iMxasEBATwww8/cOnSJaejiIikURmLV+nUqRPnz5/X1bhEJE9RGYtXadWqFUWKFGH+/PlORxGRPGrp0qWcO3cuV5epMhavUqRIEcLDw1m8eLHTUUQkj4mNjaVfv360adOG8ePH5+qydWqTeJ0nnniC/fv3k5ycrFOdRARrLbNmzeLpp5/m1KlTjBo1ihdeeCFXM6iMxet06dLF6Qgikoe8+uqrvPLKKzRp0oQffviBhg0b5noGlbF4pePHj7Nnzx7CwsKcjiIiDkhOTub8+fP4+/vz6KOPUqxYMZ555hkKFHCmFrWPTrzSCy+8wH333ae7OIl4od27d9O6dWt69eqFtZaaNWvy3HPPOVbEoDIWL9W2bVtOnTrFpk2bnI4iIrkkISGBMWPG0KBBAzZv3kznzp2djpRGZSxe6Z577gHQUdUiXmLPnj2EhoYycuRIOnbsyM6dO+nfvz/GGKejASpj8VLly5enQYMGLFq0yOkoIpILSpcuTVJSErNmzeLrr7+mQoUKTke6ispYvFa7du1YtWoVFy5ccDqKiLjB8uXL6dmzJ4mJiQQEBLB582a6devmdKwMqYzFaw0dOpRffvmFokWLOh1FRFzozJkzDBo0iPDwcNavX8+hQ4cA8swu6YyojMVrBQUFERwc7HQMEXGhuXPnUrduXaZNm8bw4cPZunUr1apVczrWTamMxat9//33DB8+3OkYIuICCQkJjBgxgjJlyrB27VrGjRuXb/Z8qYzFq8XExDB+/HiOHj3qdBQRyQZrLZ999hlnz57Fz8+PhQsXEh0dTdOmTZ2OliUqY/Fq7dq1A3SKk0h+tH//ftq3b8+jjz5KZGQkAMHBwfj5+TmcLOtUxuLVGjRoQGBgoMpYJB9JSkrinXfeoV69eqxevZpJkybx7LPPOh0rR25axsaYwsaYKGPMFmPMdmPM6AzGFDLGfGGM2WuMWWeMCXZHWBFX8/HxoUWLFkRHRzsdRUQyadiwYTz77LOEh4ezfft2Bg8enO/vwJaZ9PFAa2ttQ+B2oL0xpnm6MY8Dp621NYG3gf/n2pgi7hMSEkLBggVJTEx0OoqIXEd8fDyxsbFAymmJM2fOZP78+VSpUsXhZK5hrLWZH2xMUeBn4Elr7bornv8BeMVau8YYUwA4BgTaG8w8JCTEamtERERuZs2aNTz++OPUqlWLuXPnOh0nR4wxG6y1Iemfz9R2vTHG1xizGfgDWHxlEaeqBBwCsNYmAmeAgJxFFhERb3bu3DmGDh1Ky5YtOXfuHE888YTTkdwmU2VsrU2y1t4OVAaaGWPqpxuS0WVNrtkqNsYMNMZEG2OiT5w4kfW0Im7ywAMP8NJLLzkdQ0RSbdq0iXr16jFp0iQGDx7M9u3buffee52O5TZZunmjtfZPY8xPQHtg2xWTDgNBwOHU3dQlgNgMXh8JRELKbupsZhZxuePHj6M/EEXyjqpVq1K9enX+97//0aJFC6fjuF1mjqYONMaUTH1cBLgH2JVu2Dygb+rj7sDSG31fLJLXNGzYkJiYGPSfrYgzrLV8/vnndOjQgcTEREqXLs2yZcu8ooghc7upKwDLjDExwHpSvjOeb4x51RjTJXXMh0CAMWYvMAwY4Z64Iu7RsGFD4uLi2L9/v9NRRLzO4cOH6dKlCw8//DCnTp3i5MmTTkfKdTfdTW2tjQEaZfD8y1c8vgQ86NpoIrmnYcOGAGzZsiVfXFRexBMkJyczdepU/vnPf5KUlMT48eMZOnQovr6+TkfLdVn6zljEU/3tb3+jbdu2FCtWzOkoIl4jISGBiRMnEhoaytSpU6levbrTkRyjMhYBihUrxqJFi5yOIeLxEhISmDRpEv3798ff35+ffvqJwMDAPH2v4dyQv68fJuJi8fHxTkcQ8VjR0dGEhIQwbNgwvvzySwDKli3r9UUMKmORNFOmTKF48eLExcU5HUXEo1y4cIHnn3+e0NBQTp48yZw5c3j88cedjpWnqIxFUgUFBZGYmMjWrVudjiLiUQYPHsy4cePo378/27dvp2vXrk5HynNUxiKpbr/9diDliGoRyZnTp09z/PhxAF588UWWLVvG1KlTKVmypMPJ8iaVsUiqypUrU6pUKZWxSA7Nnj2bunXrMmjQIABq1KhBeHi4s6HyOJWxSCpjDA0bNlQZi2TT0aNH6datG926daN8+fK8/PLLN3+RADq1SeQqAwYM4MyZM07HEMl3VqxYQdeuXbl48SJvvvkmw4cPx8/Pz+lY+YbKWOQKjzzyiNMRRPKV5ORkfHx8qF+/Pm3atOGNN96gdu3aTsfKd7SbWuQK1loOHDjA77//7nQUkTwtMTGRcePGcffdd6fd2GHWrFkq4mxSGYtcIT4+nho1ajB58mSno4jkWVu2bOGOO+7g+eefp3Tp0pw7d87pSPmeyljkCoULF6ZOnTo6iEskA/Hx8bz44ouEhIRw8OBBvvjiC+bMmaPTlVxAZSySTqNGjdiwYYPubSySgW+++YZHHnmEHTt20KNHD13K0kVUxiLphIaGcuzYMQ4dOuR0FBHHxcXFMWrUKOLi4ihUqBBr167lk08+ISAgwOloHkVlLJJO8+bNAVi3bp3DSUSc9d1331GvXj3GjBmTdlczf39/h1N5JpWxSDoNGjRg5syZ3HXXXU5HEXHEiRMneOSRR+jUqRMlSpRg9erVdO/e3elYHk3nGYukU7BgQZ1vLF5t8ODBzJkzh9GjRzNixAgKFizodCSPpy1jkQwcOHCAyZMnk5CQ4HQUkVxx5fn1Y8eOZdOmTbz88ssq4lyiMhbJwLp16xgyZAgxMTFORxFxq6SkJCZOnEi9evV45plnAAgODqZevXoOJ/MuKmORDPx1ENfatWsdTiLiPjt27ODOO+9k6NChhIWFMXbsWKcjeS2VsUgGgoKCKF++vMpYPNb8+fNp1KgRv/zyC9OnT2fhwoUEBwc7HctrqYxFMmCMoXnz5jq9STzO5cuXAWjZsiWPPfYYO3fupHfv3rp4h8NUxiLXERoayq+//sqff/7pdBSRHDt//jzDhg2jZcuWJCYmUqpUKd577z3Kli3rdDRBZSxyXYMGDSI2NlbX3ZV8b/HixdSvX5+3336bpk2bpm0dS96hMha5jlKlSlGiRAmnY4hk29mzZ+nXrx/t2rWjYMGCrFixgilTplC0aFGno0k6KmORG/jggw948cUXnY4hki2FChVi8+bNjBw5ki1btnDnnXc6HUmuQ2UscgPR0dFMnjyZ5ORkp6OIZMqRI0cYMGAAcXFxFCxYkKioKN544w0KFy7sdDS5AZWxyA2Ehoby559/snv3bqejiNxQcnIykZGR1K1blxkzZqSdCeDn5+dwMskMlbHIDegOTpIf7Nmzh9atWzNo0CCaNGnC1q1badu2rdOxJAtUxiI3UKdOHW655ZYbXvzjyy+/pEGDBpw5cyYXk4n8n2HDhrF582Y++OADfvzxR2rWrOl0JMkilbHIDfj4+NC6devrfme8efNmIiIi2Lp1a9r9XkWyIzY2lo0bN2KtZcKECSxZsuSG4zdt2sShQ4cAmDJlCjt27KB///66eEc+pTIWuYlvvvmGqVOnZjjN39+f8PBwSpQowffff5/LycRT7Nq1i9DQULp06cKZM2eIjIzk4Ycf5mCqwK4AABPgSURBVODBg9eMvXjxIiNHjqRp06b861//AlIu31qxYsXcji0upDIWyaRly5Zx3333ceHCBZKTk7HWUqNGDRYsWEC7du348ccfsdY6HVPymUWLFtG8eXPi4uL48ssvKVmyJLNnz+by5ct069aNS5cupY1dvnw5DRs2ZMyYMfTt25d3333XweTiSipjkUw6cOAA8+bN495772XYsGH07NmTxMREAMaNG0dMTIx2EUqmJSYm8uyzz/L3v/+dqlWrEhUVRYsWLQCoXbs206dPJzo6miFDhgAwY8YMwsPDSUpKYsmSJXz44YeUKlXKyVUQF1IZi2RSREQEn332GatWreLdd9+lVKlSFChQAIAqVapwyy23OJxQ8ppLly7x9NNPM2nSJHbv3n3VnhNfX18OHz7MkCFDWL16NVWrVr3qtV27dmXUqFF89NFHbNq0iY4dO/LSSy8RExNDmzZtcntVxM2MU7vVQkJCbHR0tCPLFsmJhQsXsmDBAsaNG0ehQoXSnv/444+JiYnh7bffdjCdOGnr1q2MHz+eUqVKMX78eKy13HrrrezZswdI+aOtTp06TJw4kdq1a5OUlISvr+9155eUlERUVBR33HFHbq2CuJkxZoO1NiT989oyFsmie++9l4kTJ15VxJByEM7kyZM5e/asQ8nEKQcOHKBv3740bNiQ2bNnEx8fD6TcinP37t3s3buX9957j5CQELZu3cq3334LcMMi/mu6itg73HTL2BgTBEwHygPJQKS19t10Y8KBucBvqU/Ntta+eqP5astYPM2yZcto3bo1c+bMoWvXrk7HkVzy+eef07dvX4wxDB06lBEjRlC6dGmnY0kelZMt40RguLX2NqA5MNgYUzeDcSuttben/tywiEU8UcuWLSlevLhOcfIyzZs3p3fv3uzZs4exY8eqiCVbblrG1tqj1tqNqY/PAjuBSu4OJpLfFCxYkDZt2rBw4UKd4uQFvv/+exISEggODmbatGkEBQU5HUnysSx9Z2yMCQYaARldqPcOY8wWY8xCY0w9F2QTyXe6du1KrVq19L2xh5s7dy733nsv48ePdzqKeIhMH01tjCkOLAdet9bOTjftFiDZWnvOGNMBeNdaWyuDeQwEBgJUqVKlyYEDB3KaX0QkV23bto077riD2267jeXLl1OkSBGnI0k+kqOjqY0xfsDXwMz0RQxgrY2z1p5LfbwA8DPGlMlgXKS1NsRaGxIYGJjllRDJL86dO+d0BHGD2NhYunbtir+/P998842KWFzmpmVsUi4p9CGw01qb4T4ZY0z51HEYY5qlzveUK4OK5Bdvv/025cqV48KFC05HERcbM2YMBw4cYPbs2VSqpENnxHUKZGJMS6A3sNUYszn1uVFAFQBr7ftAd+BJY0wicBHoaXUEi3ip+vXrc+HCBZYuXUqnTp2cjiMu9MADD1CxYsW0+1yLuIquwCXiYvHx8ZQpU4ZHHnnkund7EhHvpCtwieSSQoUK0b59e+bPn69TnDzImDFj2LVrl9MxxEOpjEXcoHPnzvz+++9s3LjR6SjiAuvXr2fkyJEsWbLE6SjioVTGIm7QsWNHJkyYQJUqVZyOIi4wefJkihcvTp8+fZyOIh4qMwdwiUgWBQQE8PTTTzsdQ1zg5MmTfP755zz22GO6Taa4jbaMRdwkLi6OTz75hKNHj14z7fLly2zevDmDV0le89FHHxEfH89TTz3ldBTxYCpjETc5cuQIERERzJkz55ppQ4cO5e677+a3337L4JWSl1y6dIkOHTpQv359p6OIB9OpTSJuYq2ldu3a1KpViwULFgAQExPDoUOHqFu3Lrfffjt169ZlxYoV+Pn5OZxW0rPWkpycjK+vL9ZaUq9rJJIjOrVJJJcZY+jcuTM//vgj586dw1rL4MGDiYiIIDAwkMjISNauXcvo0aOdjirprFq1ilatWvHWW28BqIjF7VTGIm7UuXNnLl++zOLFi/niiy/4+eefeeONNyhevDgPPfQQjz32GG+88QbLli1zOqoAUVFRdOzYkbCwMHbt2kXZsmWdjiReQkdTi7hRWFgYJUuWZMWKFcyaNYtGjRrx2GOPpU2fMGECp06dIiAgwMGUAvDCCy/w1ltvUapUKd58802efvppihUr5nQs8RIqYxE38vPzY+/evUyYMIHDhw/z2Wef4evrmza9WLFiGR7gJe6XmJjIe++9R6dOnahWrRpdu3YlKCiIiIgI/P39nY4nXka7qUXcLCAggBo1ajBkyBDuvPPODMds2rSJyMjIXE7mvaKiomjWrBlDhw7l22+/BaBly5Y8/fTTKmJxhMpYJBf06dOHiRMnXnf6119/zVNPPcXZs2dzMZX3OXPmDEOGDKF58+YcO3aML7/8UhdnkTxBZSySB7Rq1YqkpCRWrVrldBSP9tJLL/Hee+8xZMgQdu3axYMPPqgjpSVPUBmL5AF33HEHfn5+/PTTT05H8SjWWr766is2bdoEwIgRI4iKimLChAm6tKXkKSpjkTygaNGihIaG5qtTnBISErh8+bIjy/7www/5+uuviYqKIiEhIcMxy5Yto3nz5vTo0YMpU6YAULFiRZo0aZKbUUUyRWUskkeEh4eza9cuLl265HSUm1q2bBnlypWjbNmyREREsHDhwrRiTk5OZvTo0bRo0YIBAwa4ZHmzZs2iV69eWGtJSkpi0KBBdO/endDQUCpXrsywYcPYuXMnAJs3b6Z9+/a0bt2ao0eP8tFHH/H++++7JIeIu6iMRfKI559/npMnT1K4cGGno9xUyZIlqV27Nvfddx9z5syhQ4cO1KhRg8TERHx8fJg7dy7Hjh1j2rRpOboH8IULFxg4cCAPPvgge/bs4c8//8THxyftXtFffPEFYWFhTJo0iaVLlwLw7bffEhUVxbhx49i9ezf9+vW76nQykbxI16YWkUy5fPkyc+fO5cEHHwRIu15zfHw8ixcvZv/+/QwZMiRtbHJyMnXq1KFkyZJs2LDhpoX466+/snLlSiIiIgDo378/K1euZPfu3fzzn//ktddeu+41vE+dOkXBggXx9/fn/PnzJCQkULJkSdetvIiL6NrUIvnAlClT6Nu3r9MxrpGUlETHjh3p0aMH69evB/7ves2FChWiU6dOaUUMULBgQQoXLsyYMWPYtm0b69atu+H84+Li6NixI1988UXacxs3bsTf359FixYxZsyYG95MIyAgIO384GLFiqmIJd/RFbhE8pBjx44xc+ZMJk6cmKeO9p05cyZLlixh8uTJNG3aNNOve+ihh2jSpAm1atW67hhrLf369WPv3r1MnTo17fmNGzfmKLNIfqItY5E8JDw8nKSkJH7++Weno6SJj4/n3//+N02aNOGJJ57I0muNMWlFfOzYsQzHjB07ltmzZzN27FjuvvvuHOcVyY9UxiJ5yB133EHBggXz1PnGkZGR7N+/nzfeeAMfn+x9ZLz99tvUqlWLo0ePXvX82rVrGTVqFA899BDPPvusK+KK5EsqY5E8pEiRIjRv3jxXyvj8+fOZGlenTh2efPJJ2rZtm+1lde7cmfj4eHr16sVrr73GuHHjOHjwIE2aNOH1119n2rRpuhKWeDWVsUge07VrV6pXr05ycrLbljF58mRuueUWBg0axOnTp284tm3btkyZMiVHZVmzZk1Gjx7NypUrefnll3n++ef57bff8PPzY8SIERQvXjzb8xbxBDq1ScTL/Pzzz9x9993ceuut/PLLLwQGBhIZGUmXLl2uGnfy5EkmTJjAsGHDXHp0cmJiIhcvXqRw4cI3PEJaxBPp1CaRfObPP/90y3ybNm3KSy+9RFRUFNHR0QQFBaVt9e7YsYN58+axbds2XnvtNV5//XV+//13ly6/QIEC+Pv7q4hFrqBTm0TyoEGDBrF06VJ2797tsu9ST5w4ga+vL6VLl+aVV14BoFGjRqxbty7twKz//e9//Oc//0l7TUREBHXr1nXJ8kXk+lTGInlQkyZNiIyMZNu2bfztb3/L8fwuXbrE/fffz9mzZ9m4ceNVV8O68gjp4cOH07lzZ/bt28fvv/9Onz59crxsEbk5lbFIHtS1a1eeeOIJvv766xyX8caNG+nXrx8xMTF88cUXN7wsZcmSJWnWrBnNmjXL0TJFJGv0nbFIHlSuXDnCwsL4+uuvsz2Py5cv8+KLL9KsWTNOnDjBvHnz6NGjhwtTioirqIxF8qhu3bqxbds2du/ena3X+/r6smTJEnr37s327dvp3LmzixOKiKtoN7VIHvXggw8SEBBAxYoVs/xaay2+vr4sW7aMIkWKuCGdiLiStoxF8qiKFSvSq1evLF8QY9WqVTRq1Ijdu3eriEXyCZWxSB528uRJxo8fz+HDhzP9mtGjR/P7779TqVIlNyYTEVdSGYvkYbGxsQwfPpzZs2dnavzq1atZvHgxL7zwAsWKFXNzOhFxFZWxSB5Wu3Zt6tWrl+mjqkePHk1gYCBPPvmkm5OJiCvdtIyNMUHGmGXGmJ3GmO3GmH9kMMYYYyYYY/YaY2KMMY3dE1fE+3Tr1o2VK1dy/PjxG45bu3YtixYt4vnnn9dWsUg+k5kt40RguLX2NqA5MNgYk/76ePcCtVJ/BgLvuTSliBd74IEHsNby+eef33Bc48aNmTZtGk899VQuJRMRV7npqU3W2qPA0dTHZ40xO4FKwI4rhnUFptuUW0CtNcaUNMZUSH2tiORAgwYNqFWrFmXLlgVg4cKF9OvXjwoVKlCjRg2qV69O3bp1eeSRR3j88ccdTisi2ZGl84yNMcFAI2BdukmVgENX/H449TmVsUgOGWNYsGABJUqUAFKuztWlSxeOHDnCtm3b+PbbbylZsiS+vr707t3b4bQikh2ZLmNjTHHga+AZa21c+skZvOSaGyUbYwaSshubKlWqZCGmiHerWbNm2uPGjRsTGRmZ9ntycjJHjhyhUKFCTkQTERfI1NHUxhg/Uop4prU2o3MsDgNBV/xeGbjmJqjW2khrbYi1NiQwMDA7eUUkHR8fH4KCgtJ2Y4tI/pOZo6kN8CGw01o7/jrD5gF9Uo+qbg6c0ffFIiIimZOZ3dQtgd7AVmPM5tTnRgFVAKy17wMLgA7AXuAC0M/1UUVERDxTZo6m/pmMvxO+cowFBrsqlIiIiDfRFbhEREQcpjIWERFxmMpYRETEYSpjERERh6mMRUREHKYyFhERcZjKWERExGEm5RRhBxZszAnggAtnWQY46cL55VVaT8+i9fQsWk/P4o71rGqtveZ60I6VsasZY6KttSFO53A3radn0Xp6Fq2nZ8nN9dRuahEREYepjEVERBzmSWUcefMhHkHr6Vm0np5F6+lZcm09PeY7YxERkfzKk7aMRURE8qV8V8bGmPbGmF+MMXuNMSMymB5hjDlhjNmc+tPfiZw5ZYz5yBjzhzFm23WmG2PMhNR/hxhjTOPczugKmVjPcGPMmSvez5dzO2NOGWOCjDHLjDE7jTHbjTH/yGBMvn8/M7menvB+FjbGRBljtqSu5+gMxhQyxnyR+n6uM8YE537SnMnkenrE5y2AMcbXGLPJGDM/g2nufz+ttfnmB/AFfgWqAwWBLUDddGMigElOZ3XBut4FNAa2XWd6B2AhKfeabg6sczqzm9YzHJjvdM4crmMFoHHqY39gdwb/3eb79zOT6+kJ76cBiqc+9gPWAc3TjXkKeD/1cU/gC6dzu2k9PeLzNnVdhgGfZfTfZ268n/lty7gZsNdau89aexn4HOjqcCa3sNauAGJvMKQrMN2mWAuUNMZUyJ10rpOJ9cz3rLVHrbUbUx+fBXYCldINy/fvZybXM99LfY/Opf7ql/qT/uCbrsAnqY9nAW2MMSaXIrpEJtfTIxhjKgMdgWnXGeL29zO/lXEl4NAVvx8m4//Zu6Xu6ptljAnKnWi5LrP/Fp7gjtRdZQuNMfWcDpMTqbu3GpGylXElj3o/b7Ce4AHvZ+ouzc3AH8Bia+11309rbSJwBgjI3ZQ5l4n1BM/4vH0HeAFIvs50t7+f+a2MM/pLJP1fat8CwdbaBsAS/u+vGU+TmX8LT7CRlMvHNQQmAnMczpNtxpjiwNfAM9bauPSTM3hJvnw/b7KeHvF+WmuTrLW3A5WBZsaY+umGeMT7mYn1zPeft8aYTsAf1toNNxqWwXMufT/zWxkfBq78y6sy8PuVA6y1p6y18am/fgA0yaVsue2m/xaewFob99euMmvtAsDPGFPG4VhZZozxI6WgZlprZ2cwxCPez5utp6e8n3+x1v4J/AS0Tzcp7f00xhQASpCPv4653np6yOdtS6CLMWY/KV99tjbGzEg3xu3vZ34r4/VALWNMNWNMQVK+SJ935YB037N1IeV7K080D+iTehRuc+CMtfao06FczRhT/q/vZowxzUj5b/aUs6myJjX/h8BOa+346wzL9+9nZtbTQ97PQGNMydTHRYB7gF3phs0D+qY+7g4stalH/+QXmVlPT/i8tdaOtNZWttYGk9IpS621vdINc/v7WcCVM3M3a22iMWYI8AMpR1Z/ZK3dbox5FYi21s4DhhpjugCJpPzlEuFY4BwwxvyPlCNPyxhjDgP/JuUACqy17wMLSDkCdy9wAejnTNKcycR6dgeeNMYkAheBnvntQ42Uv7x7A1tTv38DGAVUAY96PzOznp7wflYAPjHG+JLyx8SX1tr56T6HPgQ+NcbsJeVzqKdzcbMtM+vpEZ+3Gcnt91NX4BIREXFYfttNLSIi4nFUxiIiIg5TGYuIiDhMZSwiIuIwlbGIiIjDVMYiIiIOUxmLiIg4TGUsIiLisP8PqjA43p0g1DEAAAAASUVORK5CYII=\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 10\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "Y_grid = f(X_grid)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# Show function with noise\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + 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"metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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KYTWQSWDbtm307t2be++9l0ceeaTE58se+JZ7b+vSdD4JnSIHcFlrf7bWbsr6+SSwE2gY7MBESqO8NQ/gjFHEN954I1WrVqVjx45qIgxDbdu2JSYmhjFjxjB//vwSny/QA9/CfSBdOPNrAJcxpimwFmhrrT2R6/lYYAGwF9gPPGSt3VHYuTSAS8oib31yQE6zdXp6Ot27d+fdd99l0KBBDkcrwZCcnEzPnj3ZvHkza9as0cpc4pcSr01tjKkOrAH+Za19L8+xswGPtfaUMaY3MMVa28LLOYYBwwAaN27c6YcffvD/TkQcVtho1TfffJNRo0axZ88ezjnnHIcilGA7dOgQXbt25fTp06xfv54mTZo4HZKUESVKxsaYSGAJ8LG19jkfyn8PRFlrDxdURjVjCVcZGRln7NIk4emrr77i/vvvJyYmhmuvvTZoTcKhmKqk6VChU+ypTSZzNMorwM6CErExph7wi7XWGmO6kNkXfaSEMYuUKR6Ph4iICCXicuL48eO43W7WrFnD008/zRVXXMGUKVNo0SJfo+AZ/El8oZiqpOlQpYMvK3D9AbgZ6GmM+TLr0dsYM8IYMyKrzCBguzFmCzAV+LPVjtxSzsyYMYM2bdpw7Ngxp0OREMg7mG/FihW0atWK2267jSVLluT7d3D8+HEmTZpE9+7deeyxx4iLi8Ptdvt1jWCs+R3O64qXJUXWjK21nwGFTqiz1k4DpgUqKJGyaMmSJaSmplKzZk2nQ5EgyV2rzTuN6N1332X58uVMnz6d1157japVq3LixAlcLhd9+vRh2bJleDyenHMlJycXOQ84NjYWl8uFx+MJ2lQlTYcqHbQCl0gevjQjzpkzhwoVKjBkyBAAfvvtN1avXs3dd98dylClhEraZLxy5cozXl+rVi1mzZpFRkYG6enpbNiwgejoaKKioujYsSN169bl4YcfJjk5OSfxpaenU6GC94/iY8eO5Uyhmzx5clCaj7OnQ6nP2GHWWkcenTp1siKlTUJCgq1SpYp1uVy2SpUqNiEhIefYpk2b7Lhx42xGRobt0aOHrVSpkl2/fr211toPPvjAAnb58uVOhS5+Kuy99mbChAnW5XJZwLpcLjthwoRilUlISLATJkzIud4tt9xihw0bZpOTk88ot3PnTnv22WfbDh062MTExJzn58yZYw8cOFCcW5ZSAEi0XnKidm0SyaWg/rP4+Hh69OjBq6++yrFjx5g/fz4NGjSgb9++7N27lyVLllC9enW6d+/u7A2Iz/ztK/Vlm0hvZdxuNxMnTszpH46OjmbMmDFER0djraV+/frMmjWL2NhY9u/fD8Cvv/7K9ddfT6VKlfjggw/o1KkTAAcPHuSOO+6gadOmjB49+oxmbynjvGXoUDxUM5bSyFttafny5bZixYq2devW9qeffsopu337dlu9enXbsWNHO3fuXPvss886GLn4y9+acfZrctdqiyrj6zXeffddW61aNVuvXj372Wef2eTkZDtixAj76aef5jt35cqVLWAB27p1a/vll1/6d+M+3ocEBwXUjJWMRfLI+0H1hz/8wZ5zzjn2o48+yld28eLF1hhj586dG+owJQCCnZR8abbOtn37dnvhhRfa8847z546darI80VERNhq1arZ6tWr22PHjvkcU3G+hEjgFJSMNYBLJI/o6OicQSwJCQl8/vnnGGPo379/vjmYffr0Yfv27bRu3dqpcKUEcr/XweDPSOU2bdqwceNGdu7cSbVq1Xw634IFC8jIyKBGjRpYa0lISOCyyy4rdEcp7exUOikZixRizZo1uFyuQj+4lIilIP6OVK5Ro0ahZQo738cff0yvXr247rrrmDZtGk2bNvV6Dk1lKp382igikLQcppQFWp1Iyor09HSmTp3KE088gcfjYezYsTz44INERkbmK6vlL51T4o0iAk3JWMqCyZMnk5SURMOGDfXBJWXCTz/9xAMPPMD7779Pz549c3YWk9Kh2GtTi5RnL7/8Mk2bNmXaNC0wJ2XD+eefz3vvvcfixYvJyMgAMmvNx48f59xzz3U4OimI5hmLFODYsWN89dVXXHbZZU6HIuK3P/7xj/Tr1w+AadOmcfHFFzN79mycag2VwikZixRg3bp1AErGUubFxcXRsmVLbr/9dnr06MGOHTucDknyUDIWKUBCQgIul4vOnTs7HYqUI3lX7AqEdu3asXbtWl5++WV27NhBhw4dePHFFwN2fik59RmLFCAlJYWYmBiqV6/udChSTgRz9H5ERAR33nknffv2ZfTo0bRv3x6AjIwMv/fg1mjswFMyFinA008/rf41CalQLMhx3nnnMXv27Jzf//rXv7J//36mTJlCw4YNi3y9pvsFh5qpRQpR2EpGIoHmy2YUeZW0Wbthw4Z8+OGHtGzZksmTJ5Oenl5oeX832BDfKBmLeDFz5kwuvfRSjh8/7nQoUo5kr7A1fvx4n2qc2bXUxx9/nLi4OK8Juahk/fe//50dO3YQExPDX//6Vzp37sy2bdsKvGZxvjBI0dRMLeLFp59+ysGDBzn77LOdDkXKGX/Wyy6qWdvXJuULLriApUuXsmDBAh555BGqVq1aaHz+LPEpvlEyFvHClwX3RZxW1DrT/vRBG2MYNGgQ/fv3x+VyYa1l2LBhXHHFFTRt2pQ1a9bkJN9gb7BRHikZi+Sxf/9+vv/+e0aOHOl0KCKFKqqWWpxNIbJHVp88eZItW7bw3//+l4iIzB7NSpUqacBWkCgZi+SR3bemxT6kLCisllqSJuWzzz4bt9vNgAEDWLRoEQDJycmsWLFCyTgIlIxF8qhTpw5Dhgzh0ksvdToUkRIrTpNy7nnEjzzyCJ988gkpKSlYa+nSpUuQIi3ftGuTiIjk8DboCzL7ny+55BJ69+5Neno6Y8eO5f7776devXoOR1y2FLRrk6Y2ieTi8XjYv3+/FvuQcqugQV9jxoyhd+/eACQmJvLMM8/QsmVLZsyYkbM7lBSfkrFILnv27KFhw4bMmTPH6VBEHOHLPOJu3bqxbds2oqKiuOeee7jsssvYvHlz6IMNI0rGIrlkf6C0a9fO4UhEnOHrwiMXXXQRy5cv58033+T7779n6NChalEqAQ3gEsll06ZNREZG0qZNG6dDEXGMr4O+jDH85S9/oXfv3hw4cABjDCdOnGDVqlX07ds3Z56+NpYompKxSC6bN2+mTZs2VKxY0elQRMqMmjVrUrNmTQBefPFFHn30US6++GImTJhA/fr1tbGED9RMLZLFWsvmzZs1pUmkBGJiYoiMjOTrr79m4MCBjBo1qsiNJYKxh3NZo5qxSBaPx8Nzzz1H06ZNnQ5FpMz67LPP8Hg8Ob9v2LABl8tV4IAwbcmYSclYJIvL5eKmm25yOgyRMi3vEpxPPfUUTZo0ISkpibZt29KiRYszyodiD+eyQMlYJMvmzZux1tKxY0enQxEpswpbgnPgwIEMHTqUSZMmMXToUCIiIoq1fnY40gpcIln69+/PV199xddff+10KCJliq+jpXfs2MGIESP47LPPiImJYebMmbRp06ZcjbYuaAUu1YxFsmzevJlu3bo5HYZImeJPn2+bNm1Ys2YNs2fPZvTo0XTo0IF33nmH/v37h30SLopGU4sAR48e5YcfftBIahE/eevzLUxERAR33HEHX3/9NSNGjKBHjx4AnDhxwq/rBnoEttMjulUzFgG+/PJLACVjET8Vt8+3du3avPDCCwCkp6cTGxtLs2bNmDJlCo0aNSr0tYEegV0aRnQXWTM2xpxvjFltjNlpjNlhjHnASxljjJlqjEkyxmw1xmgEjJQZbrebZ555BlAyFvGXr8tnFsZayw033MCyZcto1aoVzz//PJ9++mmBNVV/a+NFCfT5isVaW+gDqA90zPr5LOAboHWeMr2BZYABugHrizpvp06drIjTEhISbJUqVazL5bKVKlWyCQkJTockUm59++23tlevXhawxhjrcrlslSpV8v1/mfv/W2/H/RXo8xUGSLRecmKRNWNr7c/W2k1ZP58EdgIN8xTrC7yRda11QA1jTP2Sf1UQCa7c34jT09Od+UYsIgA0a9aMDz/8kBtvvBFrbU5NdfXq1WeUC0RtPJjnKw6/+oyNMU2BS4H1eQ41BH7K9fverOd+LkFsIkGX3d+VnJxMZGRkuZ3jKFJaGGO47777eP/993P6cF9//XWaNGnCjTfemLP5hK+bWfgq0Ofzl8+jqY0x1YEFwChrbd5hb8bLS/JNYDbGDDPGJBpjEg8dOuRfpCJBEB0dzdSpU7HWMnbs2HI/vUKkNMhdU50zZw7nnHMON910E1dddRXffPON0+EFhU/J2BgTSWYinmutfc9Lkb3A+bl+bwTsz1vIWjvLWhtlrY0677zzihOvSMClpaUBMGTIEIcjEZFs0dHRjBkzhoEDB+J2u5k+fTqJiYm0a9eOcePGkZ6e7nSIAeXLaGoDvALstNY+V0CxRcAtWaOquwHHrbVqopYyYfPmzdSsWZPGjRs7HYqIeOFyubj77rvZtWsXgwYNIiEhAZfLVehrnJ437C9f+oz/ANwMbDPGfJn13KNAYwBr7UxgKZkjqpOA08BtgQ9VJDg2btxIx44dc/qiRKR0qlevHnPnziUlJQVjDD/++CNjx45l4sSJ1KtXL6dcaZg37C9fRlN/Zq011tr21toOWY+l1tqZWYmYrFHU91prm1tr21lrtei0lAknT57ku+++Iy4uzulQRMRHlSpVAmDdunX873//o2XLlkyfPp2MjAyglMwb9pOWw5Ry7ayzzuLQoUPcf//9TociUm4Eqgn5T3/6E9u2bSMqKop7772Xyy67jE2bNuXMkihoD+XSSLs2iYhIyASjCdlay7x58/jrX/9K3759mTVrVqndCaqgXZtUM5ZyKyMjg8svv5y3337b6VBEyo1gNCEbY2jWrBnDhw9n0KBBAERGRnLRRReVmZ3YlIyl3EpMTOSzzz7DqdYhkfIoGE3I2bXtCRMm0K9fP9xuNy+88AKDBg2iT58+fPfddyUPPMiUjKXcWrZsGREREVx11VVOhyJSbgRj6Ulvte1XXnmF559/nrVr19K6dWsmTpxIampqAO4gONRnLOVWt27dMMaUmXmIIuJdYf3Qe/fuZdSoUSxYsIBp06Zx7733OhprQX3G2s9YyqXDhw+zYcMGxo0b53QoIlJC2bVtbwO2GjVqxPz581m+fDk9evQAYMOGDTRr1ozStBKkkrGUSydPnuRPf/oTffr0cToUEQmAojZ6yO6OSk9PZ/DgwZw4cYKnn36a2267jYgI53tsnY9AxAHNmjXjrbfeomPHjk6HIiIhVKFCBZYsWULr1q2588476d69O9u3b3c6LCVjCa3SsF6sx+Ph22+/dez6IuKsNm3asGbNGl599VV27drFpZdeypYtWxyNSclYQiZ7kMXjjz9OXFycYwn5yy+/pHnz5syfP9+R64tI6OWtCERERHDbbbexa9cuJk6cSPv27QH44YcfHIlPyVhCprSsF7ts2TIAunfv7sj1RSS0CqsI1K5dm4ceeghjDHv37qVNmzYMGDCAvXv3hjRGJWMJmdKyXuxHH31Ep06dqFOnjiPXFxH/laSLy9eKQJ06dXjsscf46KOPaNWqFW+99VYJo/adRlNLyBQ2/SBUDh8+TEJCAv/4xz9Cfm0RKZ6SrmedXRHIfn1sbKzXtasrVqzII488wuDBg3nggQdo3rx5sG4pHyVjCamiph8E24cffojH46Fv376OxSAi/vFWs/XncyRvRQAoNLk3a9aMRYsWBfo2CqVkLOXKH//4R+bNm6cpTSJliLearb9yVwSyl8YsbnIPBiVjKVdq1arFn//8Z6fDEBE/BLqLKxDJPdC0NrWUGwkJCWzYsIG77rqLatWqOR2OiDjIqf2OtTa1lHuvvvoq7777Lh07duTzzz8vdZuOi0joOD1+JS8lYykXMjIyWLx4MZ07d+baa68t9qhMEZFg0DxjKRfWr1/PwYMHqV27dqlYeEREJDclYykXPvjgAypUqMDtt99eKhYeEZHSLdTr6KuZWsqFgwcPEhcXx9VXX+34wiMiUrqVdJGR4lAylnJh9uzZpKenA6Vv4IaIlC4lXWSkONRMLWEvIw6uQ1EAABquSURBVCMDyNzHVESkKE6so69PJwl7cXFxtG3blmnTpjkdioiUAU6so69kLGHt6NGjrFmzBpfLhdvtVvO0iPgk1N1ZaqaWsDZz5kwgsw8o7z6mIiKlhZKxhNSnn37K+++/H7LrZe+84vF4NK9YREotNVNLSHXv3h2AlJQUKlasGPTr7d+/n4iICIwxmlcsIqWWkrGEzKlTp3J+XrNmDVdddVVQr+fxeLjvvvvweDxYazWvWERKLSVjCZmjR49y5ZVXsmLFCtavXx/0ZBwREcHo0aODeg0RkUBQMpaQady4McuXL+fw4cPUrl076NdLTEzkggsuoFatWkG/lohISWgAl4TMiRMnAEKSiK21XH/99dxzzz1Bv5aISEkpGUtIJCcnU7duXf7973/j8Xj405/+xMSJE4N2vV27dvHzzz9z5ZVXBu0aIiKBomQsIbFx40aSk5Np3bo1ERERHDx4kP/9739Bu97KlSuBzNW3RERKuyKTsTHmVWPMQWPM9gKOxxpjjhtjvsx6PBH4MKWsW7NmDcYYLr/8cgD69evH9u3b2bNnT1Cut2LFCpo1a0azZs2Ccn4RkUDypWb8GnBtEWU+tdZ2yHo8VfKwJNysXbuWdu3aUbNmTQD69u0LZO4zHGjp6ek5K26JiJQFRSZja+1a4GgIYpEwlZaWRkJCQs6CHwDNmjWjffv2LFy48IyyeTf0Ls4G3y6Xi3Xr1vHwww8H5gZERIIsUFOboo0xW4D9wEPW2h3eChljhgHDIHOai5QPGRkZTJ48mXbt2p3x/D333MP+/fux1mKMybeh9+TJkxk1apTfG3wbY2jZsmWwbkdEJOACkYw3AU2staeMMb2BhUALbwWttbOAWQBRUVE2ANeWMqBy5crceeed+Z4fPnx4zs/WWt566y2Sk5Ox1pKamsqCBQuKtcH3f/7zH9q2bct1110X0PsQEQmWEo+mttaesNaeyvp5KRBpjAn+RFIpM5YvX853333n9VhKSgq33HILF154IVOnTsXazO9okZGRDBw40O8Nvk+fPs3YsWNZsWJFIG9BRCSoSlwzNsbUA36x1lpjTBcyE/yREkcmYSF7TvGgQYN4+eWX8x0fMWIEc+bMoWvXrvz973+nQYMGbN26lSuuuILo6GjatWvn1wbfc+fOJSUlhdOnT2v/YhEpM0x2TaTAAsbMA2KB2sAvwFggEsBaO9MYcx9wN5AO/A48aK1NKOrCUVFRNjExsUTBS+m3detWLrnkEt544w1uvvnmM47l7SPO3Sd84MABdu7cyRVXXOHztay1NG/enO+//56IiAi/+plFRELBGPOFtTYq7/NF1oyttUOKOD4NmFaC2CSMrV27FuCMkdTZ4uPjC+wTHjZsGAkJCezZs4dzzjnHp2utWrWK7777DmOM3/3MIiJO0gpcElRr166lcePGNGnSJN+x2NjYAvuEx44dy5EjR3jmmWd8vtZvv/1G69atqVy5sl/9zCIiTiuymTpY1Ewd/tLT06lbty79+vXjlVde8VrG7XYX2Cc8ZMgQFi1aRFJSEvXr1/f5uoWdU0TESQU1UysZS1D98ssvJCcne60ZF2XPnj20bNmSO++8kxkzZhRadsOGDbRv357KlSsXN1QRkaArKBmrmVqC6ttvv+V///ufXytoZWvevDmjR4/m8OHDpKWlFVjuxIkTXHnllTzwwAMlCVVExDGBWoFL5AypqalceeWVbNiwgfT09GKPbP7Xv/5VZJnXX3+dkydPcscddxQ3XBERR6lmLEGxcuVKPv30U9LS0s4Y2VxcKSkpXp/3eDy88MILdOvWjS5duhT7/CIiTlIylqCYP38+VatWpVKlSiUe2TxgwACuvdb7xmFut5vdu3dz3333lSBaERFnqZlaAi4tLY2FCxcyYMAA7rnnnhKPbG7UqBGffPIJ6enpVKhw5j/ZhIQEjDH06tUrEKGLiDhCNWMJuNWrV3P06FEGDRpEdHQ0Y8aMKdEUo27duvHbb7+xY0f+zcAeeugh9uzZQ61atUoSsoiIo5SMJShiY2O55pprAnKurl27ArB+/fp8x4wxNGvWLCDXERFxipKxBNzVV1/N6tWrAzbn94ILLqB27dqsW7fujOfXr1/P0KFD2bt3b0CuIyLiFCVjCaglS5Ywbty4Ys0rLogxhrFjx3L99def8fzSpUuZM2cOZ511VsCuJSLiBK3AJQHjdru5/PLLycjIoEqVKkHfMal79+78/vvvbNy4MWjXEBEJJK3AJUG3YsUKMjIyAEo8rzgvj8fDzp072bdvHwCnT59m3bp1fm2xKCJSWikZS8Ckp6cD5OwlHMgdk06ePEmbNm2YPXs2kDmlKS0tTclYRMKC5hlLwCxfvpzzzz+fESNGcMUVVwS0ifqcc86hVatWOYO4Tp06RatWrYiJiQnYNUREnKJkLAHxzTff4Ha7ef755xk1alRQrtG1a1cWLVqEtZZ+/frRr1+/oFxHRCTU1EwtAXHRRRexbds2hg4dGrRrdOvWjSNHjrB79248Hk/O8263m4kTJwZ0BLeISCipZiwB07Zt26Cev1u3bgCMHz+eZcuWsWrVKn777Tfi4uJITU0t9s5QIiJOU81YSmzGjBkMGTKE5OTkoF6nTZs2PP300+zatYtff/2VCy+8kPj4eFJTUwOyM5SIiFNUM5YSSUhI4IknnqBOnToBW3GrIBs2bGDs2LH8/vvvREREsGXLFmJjY6lYsWJOzTiQI7hFREJFNWMpNrfbTc+ePTl8+DBJSUlB77ONj4/P2dfYWkt8fDzR0dGsXLmS8ePHq4laRMos1Yyl2HInx4yMjJzkGCyxsbFUqFCB1NRUIiMjc2rB0dHRSsIiUqapZizF1qRJEyBz7ehQNBFHR0ezevVqRo4cGfTELyISSlqbWort6NGj3H///TRr1ozrrrtOyVFEpAgFrU2tZmoptlq1ajF37lynwxARKfPUTC1+83g8DB06lM8//9zpUEREwoKSsfjtzTff5PXXX+fHH390OhQRkbCgZCx+OX36NI8++iidO3dm8ODBTocjIhIW1Gcsfnn++efZt28f8+bNIyJC3+VERAJBn6bisyNHjvDvf/+b/v37c/nllzsdjohI2FAyFp9VqVKFYcOG0aRJE+2QJCISQErG4rMtW7YwY8YMXnjhBeLi4pSQRUQCRMlYfPLee+/x9NNPa4ckEZEg0AAuKZTb7Wb16tW89NJLVKlSRTskiYgEQZHJ2BjzKtAHOGitzbd7vDHGAFOA3sBpYKi1dlOgA5XQc7vdxMXFkZKSgsfj4cknn+Sqq64iPj6e2NhYLX8pIhIgvtSMXwOmAW8UcLwX0CLr0RWYkfVfKePi4+NJTU3F4/EA4HK5tEOSiEgQFNlnbK1dCxwtpEhf4A2baR1QwxhTP1ABinOytywEiIyMpGfPng5HJCISngIxgKsh8FOu3/dmPSdlXHR0NFOnTqV58+YsXbpUNWIRkSAJRDI2Xp7zui+jMWaYMSbRGJN46NChAFxagm3YsGEkJSVx5ZVXOh2KiEjYCkQy3gucn+v3RsB+bwWttbOstVHW2qjzzjsvAJeWYPF4PDz77LMcP37c6VBERMJeIJLxIuAWk6kbcNxa+3MAzisOeuWVV3jooYdYtGiR06GIiIQ9X6Y2zQNigdrGmL3AWCASwFo7E1hK5rSmJDKnNt0WrGAlNA4cOMDo0aOJjY3lpptucjocEZGwV2QyttYOKeK4Be4NWETiuFGjRnH69GlmzpxJ5jRyEREJJi2HKWdYtmwZb7/9Nv/4xz+4+OKLnQ5HRKRcUDKWM1x88cUMHz6cv//9706HIiJSbmhtajnDBRdcwMyZM50OQ0SkXFHNWAA4efIkt912G7t373Y6FBGRckfJWAB44YUXeO211zh27JjToYiIlDtKxsLx48d55plnuO666+jSpYvT4YiIlDtKxsLUqVM5duwY48aNczoUEZFySck4jLjdbiZOnIjb7fb5+K+//spzzz3H9ddfT1RUVKhCFRGRXDSaOky43W7i4uJITU2lYsWKrFy58oxdlgo7fuedd3LjjTc6FbqISLmnmnGYiI+PJzU1lYyMDFJTU4mPj/fpeI0aNZg0aRKXXnpp6IMWERFAyThsxMbGUrFiRVwuFxUrViQ2NrbI4++88w5Lly51JmAREclhMpeWDr2oqCibmJjoyLXDldvtJj4+ntjY2DOaqL0dj4qK4oILLqBly5YsX77cgWhFRMofY8wX1tp8A3TUZxxGoqOjvSZhb8ffffdd9u7dy/Tp00MVnoiIFEDN1OXU1KlTadCgAVu3bi1w9LWIiISGmqnLoU2bNtGpUyciIyPxeDxeR1+LiEjgFdRMrZpxOfTLL79Qp04dPB5PgaOvRUQkdJSMy6FevXrx/vvv5xtdXdSiISIiEhwawFXO7NixgxYtWnDZZZexcuXKnNHVQKGLhoiISPCoZlyOpKWlcfXVV3PLLbcAmaOrx4wZQ3R0dJGLhoiISPCoZlwO7N+/n9WrV7Nw4UL279/PzTffnK9M9qIg2TXjvIuGiIhI8CgZhxFrLfv27WP79u1UrFiRnj178ttvv9GkSRPS09OpWbMmw4YNo1evXvleGx0dfUaztZqoRURCR8k4jNx///28+OKLAPTs2ZOePXtSrVo1XnvtNVq1asUll1yCy+Uq8PVFLRoiIiLBoXnGYSItLY06derQpUsXHnvsMdq0aUOtWrWcDktERHLRcphhbu3atfz666/cfffdXH755U6HIyIiftBo6jDRoEEDRo4cyVVXXeV0KCIi4ic1U4uIiISIlsMMYz/++CMJCQlkZGQ4HYqIiBRDWCTj8r6M4+zZs4mJieHIkSNOhyIiIsVQ5gdwud3ucr+M48KFC7nsssuoU6eO06GIiEgxlPmacXlfxvGHH37gyy+/pG/fvk6HIiIixVTmk3H2Mo65dx/yJlybshctWgTgNRmH6z2LiISbMt9M7csyjuHalO12u5k+fTpNmjThoosuyncsHO9ZRCQclfmaMZy5+5A34diUnZ1sd+/ezS+//JKv9huO9ywiEq7CIhkXxdem7LIkd7JNS0vLl2zD8Z5FRMJVmW+m9kVp3ZHI7XYXO6bY2FiMMRhjvCbb0nrPIiKSn1bgckhJ+3SPHj1KvXr16NSpE88995ySrYhIGVCiFbiMMdcaY742xiQZYx7xcnyoMeaQMebLrMedgQg6nJW0T3fu3LmkpaUxY8YMJWIRkTKuyGZqY4wLeBG4CtgLbDTGLLLWfpWn6NvW2vuCEGNYyu7Tza4Z+9Ona63llVdeoVOnTnTo0CF4QYqISEj40mfcBUiy1n4LYIx5C+gL5E3GZUre/tqS9N8WR0n6dDdt2sSWLVuYPn16ECMUEZFQ8SUZNwR+yvX7XqCrl3IDjTHdgW+Av1prf/JSplTI2187efJkRo0aFfI5udHR0YVep6AvCJGRkdxwww0MGTIk6DGKiEjw+ZKMjZfn8o76WgzMs9amGGNGAK8DPfOdyJhhwDCAxo0b+xlq4OTtr12wYEG+/lun+2ELG+DVvn173nnnHUfjExGRwPFlANde4PxcvzcC9ucuYK09Yq1Nyfr1ZaCTtxNZa2dZa6OstVHnnXdeceINiLxzcAcOHFjq5uQWNMBr06ZNJCUlORuciIgElC81441AC2NMM2Af8GfgxtwFjDH1rbU/Z/16PbAzoFEGWHR0NIsWLWLdunXExcURHR1Nu3btcpqEu3Xr5nSIBQ7wevDBB9m/fz9ff/01xnhrtBARkbKmyJqxtTYduA/4mMwk+461docx5iljzPVZxUYaY3YYY7YAI4GhwQq4pI4dO8aDDz5I7969ufDCC3OafrOX1Dxx4gTdunXj2LFjnDp1ii1btvh03kBvypA9wGv8+PE5TdS7d+9mzZo13HbbbUrEIiLhxFrryKNTp042kCZMmGBr165t69evbxs3bmzPP/98265dO/vxxx9ba61NTU21U6ZMsbVq1bIRERH2hhtusKmpqdZaa+fMmWPffvttO3z4cAvYVq1a2V27dtm+ffvaevXq2cOHDxd67YSEBFulShXrcrlslSpVbEJCQkDvLdvo0aOty+Wy+/btC8r5RUQkuIBE6yUnhk0yXrx4sb377rvtXXfdZXv37m1dLpcFcpLj7bffbgEbFxdnt2zZkvM6j8djY2JiLGCNMfahhx6yv//+u7XW2s2bN9vIyEg7aNAg6/F4Crz2hAkTcq7ncrnshAkTvJY7ffp0se/vjjvusIDt169fsc8hIiLOKigZh81GEX369GH69OnMmjWLmJiYnOezBz9ddNFFLF68mOXLl9O+ffuc48YYVq9ezfvvv8+GDRuYNGkSlStXxu12s2zZMu644w7mz5/P3LlzC7y2L5syzJo1ixo1avDxxx8XeJ7cTd2//vorl19+OUePHgWgV69ePPvss8yePbsYfx0RESnNwnJt6pKu+5z39RdeeCE//vgjW7duzTcly1rLTz/9xBdffMGuXbu8LuCxb98+LrjgAlJTU2nZsiVbt24lMjKy0Gu2b9+eL774gsTERC655JLi/zFERKTUKGht6rDctamkOxblnVZ0zTXXsG3bNjweDwDXXHMNv/zyC4cOHeLo0aMkJydz9913M336dDweD6dOnaJ69eo552vYsCFLly7ll19+4S9/+QvTp0/ngQceKPCaycnJrF+/npdeeumMRBzqVcJERCQ0wjIZQ9GrWxUm77SiAQMGMGDAAObNm0dsbCxpaWk5yblChQqMHj2aG2/MnO319NNPM3v2bBYsWECDBg3YvHkzcXFxxMXFYa3l9ddf56uv8q8kmn3NlJQUPB4PAwYMYNiwYTnHS1rbFxGR0itsk3FJ5K1ZA2ckwltvvZW1a9cCmc3UNWrUyKnBRkdHM2XKFLp27UqLFi3YvXs33333HXXq1MEYw6JFi6hUqZLXa37yyScMHjyYunXr8tZbb51x3NsiIErGIiLhQcm4ALlr1hMnTjwjEQIF7rjUo0cPNm3axJAhQ1izZg1vvPEGderUyTmenYh37NhBhQoVuPjiizl16hSHDh0iJiaGXbt2kZqamq9PuSS7PImISOkWlgO4As1bEzFQaP9teno6P/zwA82bN893LCUlhcaNG9OyZUtiYmKYMWMGHTp0YNWqVUXGoT5jEZGyq6ABXErGPgp0InzxxRe57777MMbQv39/Hn744VKxDKeIiARPuRpNHQwlGRDmzYgRI6hatSoxMTG0aNEiYOcVEZGyR8nYIS6Xi9tuu83pMEREpBQImxW4REREyiolYxEREYcpGYuIiDhMyThEAr3fsYiIhA8N4AoBLWUpIiKFUc04SHLXhL0tZSkiIpJNNeMgyFsTnjx5spayFBGRAikZB0HemvCRI0dKtKWjiIiENyXjIPC2qUOgV/ASEZHwoWQcBHm3YFQSFhGRwigZB4lqwiIi4iuNphYREXGYkrGIiIjDlIxFREQcpmQsIiLiMCVjERERhykZi4iIOEzJWERExGFKxiIiIg5TMhYREXGYsdY6c2FjDgE/BPCUtYHDATxfaaX7DC+6z/Ci+wwvwbjPJtba8/I+6VgyDjRjTKK1NsrpOIJN9xledJ/hRfcZXkJ5n2qmFhERcZiSsYiIiMPCKRnPcjqAENF9hhfdZ3jRfYaXkN1n2PQZi4iIlFXhVDMWEREpk8pcMjbGXGuM+doYk2SMecTL8aHGmEPGmC+zHnc6EWdJGWNeNcYcNMZsL+C4McZMzfo7bDXGdAx1jIHgw33GGmOO53o/nwh1jCVljDnfGLPaGLPTGLPDGPOAlzJl/v308T7D4f2sbIzZYIzZknWfT3opU8kY83bW+7neGNM09JGWjI/3GRaftwDGGJcxZrMxZomXY8F/P621ZeYBuIA9wAVARWAL0DpPmaHANKdjDcC9dgc6AtsLON4bWAYYoBuw3umYg3SfscASp+Ms4T3WBzpm/XwW8I2Xf7dl/v308T7D4f00QPWsnyOB9UC3PGXuAWZm/fxn4G2n4w7SfYbF523WvTwI/M/bv89QvJ9lrWbcBUiy1n5rrU0F3gL6OhxTUFhr1wJHCynSF3jDZloH1DDG1A9NdIHjw32Wedban621m7J+PgnsBBrmKVbm308f77PMy3qPTmX9Gpn1yDv4pi/wetbP84E4Y4wJUYgB4eN9hgVjTCPgOuC/BRQJ+vtZ1pJxQ+CnXL/vxfv/7AOzmvrmG2POD01oIefr3yIcRGc1lS0zxrRxOpiSyGreupTMWkZuYfV+FnKfEAbvZ1aT5pfAQWC5tbbA99Namw4cB84NbZQl58N9Qnh83k4GRgOeAo4H/f0sa8nY2zeRvN/UFgNNrbXtgRX8/7eZcOPL3yIcbCJz+bhLgBeAhQ7HU2zGmOrAAmCUtfZE3sNeXlIm388i7jMs3k9rbYa1tgPQCOhijGmbp0hYvJ8+3GeZ/7w1xvQBDlprvyismJfnAvp+lrVkvBfI/c2rEbA/dwFr7RFrbUrWry8DnUIUW6gV+bcIB9baE9lNZdbapUCkMaa2w2H5zRgTSWaCmmutfc9LkbB4P4u6z3B5P7NZa38F4oFr8xzKeT+NMRWAcyjD3TEF3WeYfN7+AbjeGPM9mV2fPY0xb+YpE/T3s6wl441AC2NMM2NMRTI70hflLpCnn+16MvutwtEi4JasUbjdgOPW2p+dDirQjDH1svtmjDFdyPw3e8TZqPyTFf8rwE5r7XMFFCvz76cv9xkm7+d5xpgaWT9XAa4EduUptgi4NevnQcAqmzX6p6zw5T7D4fPWWjvGWtvIWtuUzJyyylp7U55iQX8/KwTyZMFmrU03xtwHfEzmyOpXrbU7jDFPAYnW2kXASGPM9UA6md9chjoWcAkYY+aROfK0tjFmLzCWzAEUWGtnAkvJHIGbBJwGbnMm0pLx4T4HAXcbY9KB34E/l7UPNTK/ed8MbMvqfwN4FGgMYfV++nKf4fB+1gdeN8a4yPwy8Y61dkmez6FXgDnGmCQyP4f+7Fy4xebLfYbF5603oX4/tQKXiIiIw8paM7WIiEjYUTIWERFxmJKxiIiIw5SMRUREHKZkLCIi4jAlYxEREYcpGYuIiDhMyVhERMRh/wdk91b+0W2CpQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## the function we're going to use\n", + "#f = lambda xi: np.sin(xi * 2) + .2*xi\n", + "def f(x):\n", + " returnarray = np.zeros(x.shape)\n", + " for i, xi in enumerate(x):\n", + " returnarray[i,0] = 5.0 - objective2(np.ones(8)*xi)/1e9\n", + " return returnarray\n", + "#f = lambda xi: objective2(np.ones(8)*xi)/1e9\n", + "\n", + "\n", + "# sampling space\n", + "N = 100\n", + "#X_grid = np.linspace(-np.pi, np.pi*3/4, N)[:,None]\n", + "X_grid = np.linspace(0.5, 4.0, N)[:,None]\n", + "Y_grid = f(X_grid)\n", + "print(X_grid.shape)\n", + "print(Y_grid.shape)\n", + "\n", + "# Show function\n", + "FIGSIZE = (8, 5)\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "\n", + "# Show function with noise\n", + "plt.figure(figsize=FIGSIZE)\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plt.plot(X_grid, Y_grid + np.random.normal(0., .1, X_grid.shape) ,'k.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HNDsoBBe6p2L" + }, + "source": [ + "Lets sample 5 data points and fit a GP to the data." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 479 + }, + "executionInfo": { + "elapsed": 723, + "status": "ok", + "timestamp": 1617137678615, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "tBd7Gkt26tS2", + "outputId": "87479380-6eb8-47fc-aa0c-189e0b10e60c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4006430951.8501625\n", + "0\n", + "2294653165.4458895\n", + "0\n", + "2625608476.932421\n", + "0\n", + "2699739885.920214\n", + "0\n", + "4687826977.700727\n", + "0\n", + "2071591289.3110216\n", + "0\n", + "2237183095.9033165\n", + "0\n", + "2287201004.11709\n", + "0\n", + "2934691985.169864\n", + "0\n", + "3192098900.197864\n", + "\n", + "Name : GP regression\n", + "Objective : 1.3412534027061405\n", + "Number of Parameters : 3\n", + "Number of Optimization Parameters : 3\n", + "Updates : True\n", + "Parameters:\n", + " \u001b[1mGP_regression. \u001b[0;0m | value | constraints | priors\n", + " \u001b[1mrbf.variance \u001b[0;0m | 3.4795633253942273 | +ve | \n", + " \u001b[1mrbf.lengthscale \u001b[0;0m | 1.4359249641097311 | +ve | \n", + " \u001b[1mGaussian_noise.variance\u001b[0;0m | 0.006393107409170726 | +ve | \n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# we sample the function and look at GP prediction\n", + "# Sample from the function\n", + "# Number of samples \n", + "num_measurements = 10\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value with noise\n", + "Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + "# Set up the kernel and the GP model\n", + "k = GPy.kern.RBF(1, lengthscale=1)\n", + "m = GPy.models.GPRegression(X_samples, Y_samples, k)\n", + "\n", + "# optimize hyperparameters\n", + "m.optimize('bfgs', max_iters=100)\n", + " \n", + "# Identify the mean and covariance of the GP fit over the grid\n", + "mean, Cov = m.predict(X_grid, full_cov=True)\n", + "\n", + "# Plot the generating curve and the GP\n", + "plt.figure(figsize = (8,4))\n", + "plt.plot(X_grid, Y_grid,'k--')\n", + "plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + "print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HWZyehrI64QK" + }, + "source": [ + "We can now sample the GP given our measured data points:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 334 + }, + "executionInfo": { + "elapsed": 784, + "status": "ok", + "timestamp": 1617137710270, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "r0Gcp6PN66jx", + "outputId": "6e43b3fc-cda3-4e98-cfe8-6b59a8438388" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mean, Cov = m.predict_noiseless(X_grid, full_cov=True)\n", + "Z = np.random.multivariate_normal(mean.ravel(), Cov, 5).T\n", + "plt.figure(figsize = FIGSIZE)\n", + "plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + "plt.plot(X_grid,Z);" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7sNoGwsHYZ-g" + }, + "source": [ + "Some things to remember:\n", + "* GP will tend toward the mean as it gets further from the given data.\n", + " * Often the mean is assumed to be zero, is this best for your challenge?\n", + "* Hyperparameter optimization\n", + " * GP uses hyperparameters, e.g. the squared exponential kernel:\n", + " $k(x,x')=A exp(-(x-x')^2/2L^2)$\n", + " *$->$ Amplitude A and lengthscale L\n", + " * Optimize: m.optimize('bfgs', max_iters=100)\n", + " * Check your results: print(m)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BYCK4d8LalYy" + }, + "source": [ + "### Active Learning Bayesian Optimization:\n", + "Need:\n", + "* $f(x)$ Model to represent data as it comes in.\n", + "* $\\alpha(x)$ aquisition function to quantify desirablity of performing each experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bFrl-0It6-IQ" + }, + "source": [ + "### Bayesian Optimization, Approach 1: Exploiting Prior Knowledge \n", + "1. Fit a GP to the data\n", + "2. Identify the GP mean\n", + "3. Find the maximum of the GP mean" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "executionInfo": { + "elapsed": 384, + "status": "ok", + "timestamp": 1617138208922, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "ANZq4F_5aUmZ" + }, + "outputs": [], + "source": [ + "# We're going to use the GP in the same way multiple times, so let's create a function\n", + "def GP_analysis(X, Y, X_grid):\n", + " # Use GP regression to fit the data\n", + " k = GPy.kern.RBF(1)\n", + " m = GPy.models.GPRegression(X, Y, k)\n", + " m.optimize('bfgs', max_iters=100)\n", + " \n", + " # Predict the mean and covariance of the GP fit over the grid\n", + " mean, Cov = m.predict(X_grid, full_cov=True)\n", + " variance = np.diag(Cov)\n", + " return mean, Cov, variance, m\n", + "\n", + "\n", + "# We will also plot the Bayesian Optimization results multiple times, so let's create a function too:\n", + "def plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample, true_max_x, true_max_y):\n", + " plt.figure(figsize = FIGSIZE)\n", + " plt.subplot(2,1,1)\n", + " plt.plot(X_grid, Y_grid,'k--')\n", + " plot_gp(X_grid, mean, Cov, training_points=(X_samples,Y_samples))\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[-1.5, 1.5],'m')\n", + " plt.plot(true_max_x, true_max_y, 'ro')\n", + "\n", + " plt.subplot(2,1,2)\n", + " plt.plot(X_grid, alpha_full,'r')\n", + " plt.plot([X_grid[next_sample], X_grid[next_sample]],[0, np.max(alpha_full)],'m')\n", + " plt.title('Aquisition function')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "rgIce_KHjOxW" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4167, + "status": "ok", + "timestamp": 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\n", 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\n", 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\n", 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\n", 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B20a+y06+2yiaz3FasVtGv1vVaFu4cCHz58/vn9CkpaWFJ598ctAZyiKxBP5wFH9y1Ly+4vGungj+cIz4gKLxRDxOy7ZNbFnzMQcddzr2LCfP338rrz1+L2aLFYvNRjQc5tNnX8wZl13ziQCstcbX3oInJ59QDN5d9AYrVq4ibHFjKajCmleBMhm/v81iwk2YrFiQ8sIcpk6qoMDr5J3nHuXAY+f1lyQEOtv5+K2Xhj1wjUkp8t02I6BnOyjNziLXaR03pTwThfQDF/ukREJT1xlifUuAja3BcVE0PphQNM4777zLu+8vxjX5IEy5FYDRArzI46A0x8j1lGVn4bKnr9Csr6600G2nyGu0bC702CdEoB5tiYTGH44aReM9Ebp6InR0G8Xkfe0UegI+ald9yKYVS/G3N3PcFy+lfOrMkR0nHqe9qY66Tetpau+i4lOn0BroZdXqNUSz8jBZjf7v/sXP0PnafXhKqvn8tffgJsLTN3+H5q0b92r0OYfVTEm2nWKvEdBLvEaXQrHnJICLfUZf0F7XHGBDa5DQEMWa6RSJJajr6mFbR4i6zh7aghEAdCxCeZ6LqnwP5blZFHvTW0TpcViMm3Dyhpzu9ExUvbE4XT1R2oNGD4H27l46uyN0hUY+pO5QYpEITXWb2Vy7hfo2Hy2dfupf+wvRzkZMzmwAEj0+rDnFVJ96KWWFudRMrmTWAYfs9bFznNZk47jxU2qUSSSAiwlNa02jL8zapgDrWwLjLqedSGia/OH+frrN/jAJbTTkKvHa2fbOs/hWv8NV199MQUl5WtJoUooCj43ynCzKcrIozXbgkUZLaRWNJ+jsjtCWDOx9XQGN9g97L9DZzs0LPkd3souc2eGm7Es/QxVNRZmMkh6X3UyJ18G29/+NlxCVRbmUV0+jpLoGlzdnj47bV/Re4nVQ5DUeDgtk0JkhSSM2MSF1dEdY3ehnTVMgpeOKp4I/HGVjYye1rQGaQiSnqtQUue0cUpVLVZ6T0mwHH73+HO88dwcXX3fHmAZvk1IUee1U5GZRkeukLMchReHjjNVsosjroMjr2OHzcDROe3eEtkBvf1BvC0Z2mA51uAaGzCy7ja+ffiRZ3ly2NbfR2NWDXzto6goRmXwMbUBrIs57K2rpffkdplaWMu+Mz+O2aD58/XlKqmsorpo25Ix1fRLJrpqtgV6oNz4zm4ygXuRx9FfNFMigM7slOXCRUUKROGua/KxuDNDsD+/+C2MkntA0+kLUtvWwuS1IR7KRnO7pYva0KorscR75wdnkZGdzzrd/Rs1BRxjrtWbziqVMmTPoA3ZKFbhtVOY5qcxzUp6TlbIuRyL9tNb4QtH+wNg3ac5QufW+KVSbt2zYYQrVobrIhaJxmrpC1Da3U98WoDNqJpHMpdtNms51i+mtX02kYQ2uRDellZM5/pxLmTJnLvFYFK01Futumv3vRCnIybImh4ftW4xeDftSQznJgYuMlkhoNrd3s6rBz+a27h1a86ZTKBqntq2bzW3dbGnvIRJPYFLgCLXR8c4zzJ5ayZw5BzFzv2IAHNfexpN33MAfrrmYWYcfz8nn/T+qZx08asHbaTNTleekKt/JpHwX7jQ2gBOjSylFjtOYvaym2NP/eSgSpzXQS0vAmFSnxR+mKxTl47deonnLhkGnUB2sJXqW1czkQjeTC43pYBNa09EdockXpqGrh3rLYfinJYeoTcTxddbzcZeFWHOA0Jbl/OWGyyiqmExJdQ2lk6dTWl3D1AMPJ8vlYWeLnn2kv3V8Z0+UrfVNO6TJalbkumzku2zku+39I9flOG37XDG85MDFuNXZHWFFg4/Vjf5xU6/d2RNhU2s3m1qDNPrCaIxAObnAxeQCF/HGNdxzzVc49MQzOP+amz/x/UhvmFceuZv//O0ebA4nP3t8EfYsV0rSphQUex1U57v6+4XvSzkVMTy9sTgt/l7uWriQg46dR6/VTVcoir9jZN3IdhaOxmn0hWn0hWjsCtM0YJ4AS6wH3V5L96YP6Vj1DtG2rXz/D89QPnUmK//3OssWvUxpdQ3tjXW8/dwjFFdN48rfjmxudpNSZGdZyHYa86obr9b+MegzteHcuGzEppSqBB4GSoAEcK/W+ve7+o4E8IkvFk+wviXI8nof9Z2h3X9hlGmtaQ70JvuPd9PRY7QYL3TbmVzoYkqBiyLP9kD50sN3svS1Z/n+3f/A4XQPud/mrRvpDXVTNeOAvUqfzWJiUr6z/wFCppUUe6IvqDf7jWlwm/zhvW5XEk9oWoO9NHaFaOgK0+AL9Q92Y1Waslwn5blO2lcu4t1HbiPQ1rjD913eXJRSBH0d5BWXc9mv7qO4csoep8dpMxvj+zss/RP0eB3GhDwuuwWXzTIuc/DjNYCXAqVa6w+UUh5gKfB5rfWqob4jAXzi6uyOsKzeyG2nu+tXQmsaukJsbOlmQ2uQYG8MpaA8J4uphW6mFLjwZg3dQjvUHRi0aDBVPA4LUwpdTC10U5HrHJc3HZH5eiIxmpJT5Db5jaU3OvKGcn366ukbfMb0uw1dof4BlcwmRYHTjDsRILJtBe/95SaivUYbF4vVRixqPDh784sorZ5O5fTZnH7JdwGj73sqptJVyqgqcNrMZCWH9XX2T4tr7p8i124xYR8wPe5ol3KNyzpwrXUj0Jh8H1BKrQbKgSEDuJhYEgnNprYgH23zsW3ANIjpSktdV3LQl5ZuQtE4ZpNiUp6TI6fmM7nARdYuGn0tW/QyuUVlVE6fPSrBOy85CcnUQrcUjYsx4bRZmFLoZkqy3lsn672NYvIwTb4Q7d2RYfdVH1hPP6vUCxgPCY3JgF7fFWJTdxYxRw1xsx1IBnC7ky987yZC7Q00b9lA4+Z1bFz2fv9+7776InwdLZROqjHq2KunUz5tP4pGmFvX2piW1SgliAzznIzeAjbz9nnuzzm0Ysxaz4+LOnClVDXwJjBba+0fajvJgU8MPZEYy+t8LK/3paxP657oD9rNATa2GkHbYlJMLnAxrchNdb5rWP8Rg10d/PKrJ1O938Fc/uv7U5a+Iq+daYVuphW5yXfbU7ZfIVKlv967K0RDMqgPnCp1pDraWrn7movoqNuE1ZVDXGtjgJn8KqZf+luqK0opz82iLNuBN8to1f7GU39m69qPaaxdT+u2zSQScfY/4gS+9vM/AvD0wl/gyS2gtLqGkurp5JVU9E8eMxquOH5qSnt4jMsceB+llBv4O/CdwYK3UmoBsACgqqpqjFMnUqnZH+bDrV2sbw6kbYpOrTUNXWHWNgfY0BIkFI1jNSsm57uoKfYwKd854sYurz72RyLhEJ+/4sd7nb5ir4OaYjfTizxkO2UgFTG+OazbG3CCUe/dEghT3xnqnwxlJMXuq955mY66Tf2t4xNac9cPvkJ73SZ617/NOus8VjQYYcLrsBgDDx11NgedfgHZWVbi0SgtdZvoy5jGohFWv/9f2hu39R/DZs/i5POv4OTzLicRj7P+w3cpmVyDN68o40q20poDV0pZgeeBf2utb9vd9pIDzzyJhGZDa5CPtnbtMLPRWNJa0xLoZW1zgPXNRp12X067pshNdYFrj1uodrY08KtLTmXuSWfxpe/9co/2UeixM6PEI0FbTDg6OWjLtk5j2ODhBPSB3chgx0lWElrTHoxQ32Xsr6Er3D+NrstmNgJ6bhYVOVnkuWz9ATncE6R5y0Yaa9fRVLueaQcdzuwjT6K1vpZfX3IaAE5PTrIIvobDTjubyulz+qeCHYmxzIGnsxGbAh4COrTW3xnOdySAZ47eWJwV9X4+2taVtlHSOnsirG0KsLYpQFcoiknBpHwX04vdTClwp6Se6m+3/ogPXnueH/35ZXKLSof9vXy3jenFHmYUe8h1jWyACyEyVSJhPExv7ehhW0cPDV2hvSqN01rT2RPdIcffNzmMw2qiPCfLWHKzKHDbMe0UjCO9YbauMYrfm2rX0bjZCPDnXX0Tc44+mfUf/Y9Hbro62Xd9en+AL6mejtU2eLXWvlKEfjTwFWC5Uuqj5Gc/1lq/mMY0ib3kD0f5cGsXK+p9ezS0497qicRY1xxkTZOfZn8vABW5WRw6KZdpRe6Ujz5WUDaJE7+0YFjB25tlZUaxh+klboo8jt1uL8REYzIpYyrcbAeHTc4jGk9Q3xliS0cPW9q7aQ8Or/FYH6UUeS5jCts5FdlorfGHY9R3hqjr6qG+M8TG1m7A6HJZlu2gPNcI6kUeBza7g2kHHs60Aw/v36fWGp0w7l1ZLg/TDz6Sxtr1LPrnX/tbw3/7jieZNPMANi5bzLoP3qak2hicprCiOjU/1HDPfzw0YhsuyYGPXy2BMB9s6WRtU5DEGP+bisYTbGrtZk2Tny0dPWht9NOeWeKhptid1kk5smxmphe7mVHipSzbkXF1bEKMJX84Sm1bN7XtRg49FZmAQDhq5M6TufS+rmsWk6I0x0FFjjG0cLHXjmUXVWnxeIz2hq00bdnAzLnHYnNk8fqT9/P8/bf0B3yzxcq6DRuZMqlyr9PdZ1wWoe8JCeDjz9b2HpZs6WBL+9h2A9NaU98VYnWj0RgtEk/gtluYWeJhZoln1Ftt161fSXvjNg449rRPBGWrWTGl0M3MEg+T8l3ST1uIPRBPaOo6e4yRD9u6U1YV190b6++2Vt8V6p/O16wUxdn2/mL30uysYVWzRSO9tGzbTFPtOpq3buTZB+8kK4UDKo3XInSRobTWbGwNsri2kybf2E4o0tUTYXVTgDWNfvzhGFazoqbICNoVuVljksPVWvPsvTfRVLuemZ86FnuWC6WgItfZn+uXmb2E2Dtmk2JSvotJ+S5OAFoDvWxqDbKhNUhLsnpsT7jsFmqKPf1jxoej8R0C+pItnSyu7UQpKPJsD+hlQ0wAZLXZKZ86k/KpMwHGtJRNArgYtkRCs7rJz5LaTjq6R1ZXtTcisQTrWwKsbgz0t2SvSg6wMrXQPeZjHH/4xgts+Pg9vvCN6ygtyGW/Ui8zSz14Zf5sIUZNYXKa0cOn5OMLRdnYGmRDS5CGrtCwB5MZjMNq3mHAmkgsQaMv1F/s/vE2Hx9s7QKMxqcDA3q6JwiSInSxW7F4gpUNfpZs6RyzFuV9/bVXNvpY3xwkltDkOK3MKvUys8STtnrtYFcHN192OpWTJvPK629SnpeaiUiEEHsm2BtjQ0uQ9c3GA36qQ1osnqDZ39ufQ28cMFhNdpaVshxHf0DPybJy5QnT9olW6GKci8YTLKvz8cGWzv6uGaMtEI6yujHAqkY/vlAUm9nEzBIP+5V6KU1jIzCzSVFd4OJPf/gJvT1Bnnz0YQneQowDbruFgypzOKgyh2BvjHXNAdY1BWhMUfWexWwyWq7nZgHJrnDBXqPYvTPE5rZuVjcGAGPClAZfmFvmH5iSY+82bWNyFJFRIrEEH9d18cGWzv7Zg0ZTPDkm+soGP1vbe9AYXb+OmJzH1KKxLyIfqNBjZ1aZl/1KvGTZzETO/xKnHH8s+++/f9rSJIQYnNtu4ZCqXA6pysUXirK2KcCaJv+Iu6ftismkKPE6KPE6OKQqt3+M+L5JWsYyiyFF6KJfbyzOR1u7+GBrF+Ho6Afu9mAvKxv9rGkMEIrGcdstzCr1MqvMS/YuZvsabU6bmRklHmaVeaW/9jiz/jvrAai5vSbNKRGZpMUfZnVTgLVNfrp7R/fetq8M5CLGibEM3NF4gnXNAVY2+Gn0hTEpmFLgZv8yL1X5zk+MlDRWTEpRXeBk/7JsJhd8suvXt7/9baqqqvj+97+flvQJQ/CjYLqTIDJQkddBkdfBsdMK2NLRw6oGP5tag2mbkyFVJIDvwyKxBB9t62Lpls5RD9zN/jArGnysazL6bOc6rRw7rYCZpR6cKewzOVIFbhuzyrzMLPHiGqRFaSQS4Yc//CF33HEHP/jBD9KQQiFEqpiScyBMLnARjsZZ22RkJpr9Y9sdNlUkgO+D+uq4l27pJDSKddy9se3/QVoCvZhNiulFbvYvz07rqGQOq5kZJW72L8um2Dt0EfmmTZv40pe+xJIlS/jmN7/JL3+5Z5OVCCHGH4fVzIGVORxYmUNroJeVDT7WNAVG9Z6YahLA9yFGq/IultSOXuM0rTXN/l5WNKk1z3wAACAASURBVPhY22RMG1rgtnH89EJmlniwp3gs8uFSyug7vn9ZNlMLXTsMmRiJRHjttdfQWuNyuTjmmGMIBoMcdthhxONxnn76ab7whS+kJd1CiNFX6LFz/Iwijq0pZENLkOX1Puo6e1LeJS3VJIDvA+IJzfJ6H4s3d4xad7DeWJw1TQFW1PtoC0awmhUzSjzMLs+m2GNPW267r+/4fmXeQQdaCYfDfPGLX+TFF7fPoROPx/F6vdxxxx0cddRRVFdXj2GKhRDpYjYZ960ZJR66eiIsr/exqsE/Jr1x9oQE8AkskdCsavTzv03tBMKpD9x9ue3l9T7WNRu57UKPnRNmFDKjxJOS4US72pp57OZryC0uZ97F3yanoHi337FZTEwrMhrGlecMPbxqKBTi85//PC+//DK/+93vOPzww+np6cFkMnLn559//l6nXwiRmXKcNo6tKeSoqQWsbwmwrM5HfWco3cnagQTwCUhrzdrmAO9ubKerJ/Ujp/XVba+o99Ma7MVqVszsy23vok55pOo3ruG+6xYQCgbYtHIp5dNmcexZFwLGOdatX8kHrz3Hh/99kUkzD+Ta2+9nVqmX6cWeYU1CYLFY8Hq9PPDAA1xyySUpS7cQYuIwmxQzS4yGrm3BXpbX+VjV6E/LdMk7kwA+wWxoCfLuxrb+GXZSqdkfZkW9j7XNAaJxTaE7tbntgTYse5/7r7ucLJeXb93+GPYsFzmFJQAsefWf/Psvd9LeuA2zxcrBhx3FT6//IZ+dW0lPTw+RcA82t3vIfXd3d9Pd3U1RURFPPPGETPEphBiWAredE2YWcfS0AlY3+llW1zUq99rhkgA+QWxp7+adje0pnx0sGk+wtjnA8jofLYFeLCbF9GIPc8qzKfaOXt12UcVkag46ki9+6way83csNl+3dBHlFZX84OpruOyi88jPz+9fd9111/H3v/+d++67j5NPPvkT+w2FQpxxxhl0dHSwZMkSLBb5LyCEGBmbxdTfgn1bRw8fbetiU2s3iTFu9ZbWu5dS6gHgc0CL1np2OtOSqRp9Id7e0M62jtTOx90WNOq21zQGiMQT5LvGpiX55pVLmTTzILx5hVz6s7t3WFeW42BWaTZXvvT0kDn+s88+mxdeeIFTTz2V3/zmN1x99dX9DxmRSIRzzjmHN954g4cffliCtxBir1XmOanMc+IPR1m2zTemg1Gl+w72IHAX8HCa05FxWgO9vLOxjU2t3SnbZyyeYH2yC0WjL4zZpKgpcjOnPHtMJhJZ9f5/eeD6KzjtK1dxygVXAuBxGMOr7lfqJddl2+0+jj76aJYuXcoll1zCD3/4Q5YvX86f/vQnLBYL559/Pi+++CL33HMPF1544aieixBi3+J1WDmmpmBMj5nWAK61flMpVZ3ONGSarp4I725sZ21zIGV9FDuT3SVWN/gJxxLkZFk5tqaA/Uq9ZI1Rv+2ta5fx8C++TemUGZw0/6vsV+pl/zIvFblDtyIfisvl4vHHH+eAAw7g5ptv5sc//jEPP/wwf//737nttttYsGDBKJ2FEEKMnXTnwMUwBcJR3tvUwcoGf0rqWeIJzabWIMvqfdR1hjApmFpo5Lb3JGjujbaGrdx33eXk5BfwyJPPcOTsqcNqRb4rSimuvfZaFixYQFFREd/61reorq7m8ssvT1GqhRAivcZ9AFdKLQAWAFRVVaU5NWMvFImzuLaDj7d1pWTgfV8oyop6Hysb/ISicbwOC0dOzWf/0sHHAh9t+S4r9976A6wmePO1V5gxI7WzTBUVFQFQWloqwVsIMaGM+wCutb4XuBeM6UTTnJwx0xuLs3RLJx9u7drr/oaJhGZzezfL631sae9BAZMLXMwpz07LDGAuu5kZJV72K/FQ5HUweeGdmM1mZsyYMabpEEKITDbuA/i+Jho3ZghbUrv3M4QFwlFWNvhZ2eAn2BvDZTdz2OQ8Zpd58QwyrOho6hsdbWaJh8pcJ6tWreTvjzzFFVdcwbHHHjumaRFCiIkg3d3IHgOOBwqUUnXADVrr+9OZpnSJxRMsq/expLZjryacT2jNlvYeVtT72NzWjQYm5Tk5fkYhk/NdmExjl9s2mxST8p3MLPEypdCFNTmByOLFi5k3bx4Oh4Pzzz+f7OzsMUuTEEJMFOluhX5eOo8/HvRNNLKktmOvxisP9sZY1eBnRYOPQDiG02bm0Em5zC7PJjtr7HLbSkFFrpOZJR6mFblx7NSK/YMPPuDEE0+ksLCQV199VYK3EELsoSEDuFLqL1rrryilvq21/v1YJmpfEE9oVjb4eH/zngdurTVbOozc9qa2brSGytwsjp1WwJRCN+Yxym0rBaXZDqYXe5he7BmyMVxTUxNnnXUWeXl5vPXWW5SXl49J+oQQYiLaVQ78UKXUJOBSpdTDwA7RQGvdMaopm6DiCc2Keh+L9yLH3ZfbXtngwx+OkWU1c0hVLrPLvOQ4dz/YSaqUZDuYXuymptgz6FSdO/vPf/5DV1eXBG8hhEiBXQXwPwIvAVOApewYwHXyczFM0XiCFfU+lm7p3KPA3Ve3vbJhx9z20dMKmDqGue1i7/agPdKi+QsuuIBTTjmlv2uXEEKIPTdkANda3wHcoZT6g9b6ijFM04QSjsb5eFsXH23r2qNJ4XduST7WuW2loMTroKbYzbSikQdtgHvuuYdp06Zx0kknSfAWQogU2W0jNgneeyYQjvLRti6W1flG3I87ntDUtnezItlvWwNVeU4+XTM2ddsmpSjPzWJakZtpRW7cezjAi9/v59Zbb+XGG2/k7LPP5qSTTkpxSoUQYt8l/cBTrMUfZumWTtY1B0c85GlXT4SVDX5WNfrpicRx2c3Mrc5l/7LRb0luNSuq8l1MLXQxpcBNlm3Px0Dv7e3lD3/4A7/85S9pa2vj3HPP5b777kthaoUQQkgAT4F4QrO+JcCyOh/1naERfTcWT7ChJciKBj/1XSEUUF3gYnaZl+pR7rfttJmpLnAxtdDNpHxnfz/tkdi4cSP//Oc/aW9v5/DDD+fMM8/kf//7H9/97nc56aST+PWvf82nPvWpUUi9EELs2ySA7wVfT5Tl9T5WNvhGVL+ttaYl0MvKBj9rmwNEYgmys6wcOTWfWSVe3I7Ruyz5bhtTCtxMKXTt1RSh8Xic3//+91x77bWEQiHMZjPf+973OPPMMznuuONYvHgxc+fOTXHqhRBC9JEAPkLhaJz1zUFWN/pp8IVGNKVnKBpnTaNRRN4WjGA2KaYVuZld5qU8Z3RmALOYFBV5WUwucDM530W2MzVF8QsWLOCBBx7gjDPO4M4776SqqmqH9EvwFkKI0SUBfBjC0Tib27rZ0BKktq17RLOCJRLGYCurGvxsaguS0FDstXPCjEJmFHuwj8J8294sK5MLnFTnu6jM27Oi8cForUkkEpjNZq688kpOOukkzjvvvDGdelQIIYRBAvgQOrsjbOnoYWNLkPquEPERTuXZHuxldVOANY1+uiNxsqxmDqzIYVaZlwK3PaVp7ctlT8p3UZ3vIs81ePcyrTUPPfQQq1ev5pvf/CYVFRW89NJLvP/++1xyySVUVlYOeYxYLMa3v/1twuEw9913H4ceeiiHHnpoSs9DCCHE8EkAT+rqidDoC7O1o4dtHT17NNhKOBpnbVOA1U1+mv29KAWT813MSjZIS2X3rwK3jap8F5PynJTnZg0rl33rrbdy9dVXY7fbOfvss6moqCAYDHLDDTfw05/+lNNOO42vfe1rfO5zn8PhcPR/z+/38+Uvf5l//etfXH311WitJdcthBBptk8H8OV1Pja2BmnyhwntohHaomcf4cBj5+HJzQcg0NnOx2+9xDFnXtDfZ3t1o5/ath7iWlPgtvHpmgJmlHhw2lLzE7vsZqrynFTluajKd464b/YLL7zANddcw/z58/nb3/6GyWQE/HPOOYdNmzbx5z//mQceeID58+dTUVHBtm3bAHjzzTe56qqrWLVqFffeey+XXXZZSs5HCCHE3lF6hH2V02nu3Ll6yZIlKdvfE0u27bbb16JnH+Hpu35O8aRpXHnzwwDcffVFNG/dwOz53yU64xTC0QRZVjMzSjzMKvVS6Nn7InKbxUR5ThaVeU6q8px7tc81a9Zw2GGHUVNTw1tvvYXT6Rx0u3g8ziuvvEJjYyOXXHIJADNmzKCpqYmnnnqKU045ZY/TIEQqfHj8hwAc/MbBaU6JEGNDKbVUaz1oq+B9Ogc+HAceO4+3n3uU5i0b+M3XPkMCRW+wC2t+FYHSuUzPdTK92IVuXkft0leIHHYceGaO+DgmpSj22o1cdr6T0uyslBW5V1RUcN5553HdddcNGbwBzGYz8+bN2+Gzp556iqKiIoqLi1OSFiGEEKmxTwfwaKSXUHeAWCRCLBohEY9htTvw5hUC0NFcz4ql7+E+4BRam5sIBX0AWF05nHP9PfhXvkXDc4+yaOkiQgFj3fRDjhz28fNcNqrynFTmOanMy8JuSV2LdL/fz1tvvUVubi5HHXUU99xzzx7tZ86cOSlLkxBCiNRJawBXSs0Dfg+Ygfu01r8Zy+P//Iovs27Z0h0+q5wxhyt/9zgbW7v592sfoIpmkZhUCeqv/dvYLSYK8fPYvb/CnZPP7CNPYtZhxzHtoCNweXMAWLboFfY/4njMlu39rrNsffXYRi57OFNwjkR7ezu33XYbr776KkuXLiUej3Puuedy1FFHpfQ4Qggh0i9tAVwpZQYWAqcAdcBipdSzWutVY5WG0+ZfzMwjTsFis6GsdvzmXDptBfzprc3EExpnyVTKrAGWP3Y9iVAAd3YeAEFfB4/f+hOuvvd5iqum9jcI61O3fiUP/vwqpsyZy3mXf5eaqjJmVZdy8H6TsFgshEIhgoEu6tsjFBQUYLfvfZ251prTTz+dpUuXcuSRR/KjH/2IE044gSOPHH6JgBBCiMyRzhz4YcAGrfUmAKXU34CzgDEL4IefciaJje2saw6wua2baFzjNJuZU+RheombEq+Dt597lLa6TTs2YrvmIpq3bGDjsvcpra7ZYZ82i4kTjzmC4rvu46dXf5NfXnVB/7rm5maKior42c9+xk033QRAeXk5999/P6eddton0ufz+fj4448pLy9n6tSpg55De3s7brcbu93Obbfdhsfj4YADDkjVTySEEGKcSmcALwe2Dfi7Djh8rA7+wKLN3PzSGsKxBA6riRnFHqYXeyjPzcI0oI/zMWcaAXhgN7Irb364vxsZGF28phYaU29W5DoxmxSfPeBrfOXs01m3bh0dHR10dnaSl2fk4M8880wqKysxmUzcddddzJs3j6uvvpqbb74ZgJaWFm6//XYWLlyI3+9n/vz5PPHEEwAUFxcTjUbxeDy43W6ampq44ooruPHGGzn66KPH6ucTQgiRZukM4IM1sf5Enzal1AJgAUBVVVXKDl6Wk8WcimzKc7L6g+5Q+gJ1H09uPqeecxHTiz3UFLuHHMe8tLSU0tLST3x+1FFH9ddLX3LJJVx77bXMmjULgFtuuYXrr7+ecDjMOeecw0UXXURZWVn/dy+77DJ8Ph+BQIBAIMDs2bM599xz9+g3EEIIkbnSGcDrgIFjd1YADTtvpLW+F7gXjH7gqTr4vNkl+MPREU3/abOYmFroYkaJl0l5zpRM9elwOLjlllv6/y4tLeW8887jmmuuYcaMGZ/Y/sYbb9zrYwohhMh86Qzgi4EapdRkoB74MnB+GtMzpJJsB3PKs5le7MFmSc3EIEO54IILuOCCC3a/oRBCiH1a2gK41jqmlLoK+DdGN7IHtNYr05WendksJmaVepldnp2SkdWEEEKIVEprP3Ct9YvAi+lMw85ynVYOrDRmDUvlwCpCCCFEKu3TI7ENVJGbxdzqPKrznTLTlhBCiHFvnw7gCphW5OZT1XmUZDt2u70QQggxXuzTAfxzB5SRZZNiciGEEJlndJtUj3MSvIUQQmSqfTqACyGEEJlKArgQQgiRgSSACyGEEBlIArgQQgiRgSSACyGEEBlIArgQQgiRgSSACyGEEBlIArgQQgiRgSSACyGEEBlIArgQQgiRgSSACyGEEBlIArgQQgiRgdISwJVS85VSK5VSCaXU3HSkQQghhMhk6cqBrwDOBt5M0/GFEEKIjJaW+cC11qsBlFLpOLwQQgiR8cZ9HbhSaoFSaolSaklra2u6kyOEEEKMC6OWA1dKvQqUDLLqJ1rrfw53P1rre4F7AebOnatTlDwhhBAio41aANdanzxa+xZCCCH2deO+CF0IIYQQn5SubmRfUErVAUcCLyil/p2OdAghhBCZKl2t0P8B/CMdxxZCCCEmAilCF0IIITKQBHAhhBAiA0kAF0IIITKQBHAhhBAiA0kAF0IIITKQBHAhhBAiA0kAF0IIITJQWvqBCyHEnnAf5E53EoQYNySACyEyRs3tNelOghDjhhShCyGEEBlIArgQQgiRgSSACyGEEBlIArgQQgiRgZTWOt1pGDalVCuwJYW7LADaUri/8UrOc2KR85xY5DwnllSf5yStdeFgKzIqgKeaUmqJ1npuutMx2uQ8JxY5z4lFznNiGcvzlCJ0IYQQIgNJABdCCCEy0L4ewO9NdwLGiJznxCLnObHIeU4sY3ae+3QduBBCCJGp9vUcuBBCCJGR9okArpSap5Raq5TaoJT6v0HWf1Up1aqU+ii5fD0d6dwbSqkHlFItSqkVQ6xXSqk7kr/BMqXUIWOdxlQYxnker5TyDbiW1491GlNBKVWplHpdKbVaKbVSKfXtQbbJ+Gs6zPPM+GuqlHIopd5XSn2cPM+fDbKNXSn1ePJ6vqeUqh77lO6dYZ5nxt9v+yilzEqpD5VSzw+ybvSvp9Z6Qi+AGdgITAFswMfArJ22+SpwV7rTupfn+WngEGDFEOtPB/4FKOAI4L10p3mUzvN44Pl0pzMF51kKHJJ87wEagbd3d02BPwLX7WK/PwbuG6U034jR/7VpL85z3SD/P3d5TXd3zuNhSV4jd/K9NXmtjthpmyuBPybffxl4PN3pHqXzzPj77YBz+R7w6GD/Psfieu4LOfDDgA1a601a6wjwN+CsNKcp5bTWbwIdu9jkLOBhbfgfkKOUKh2b1KXOMM4z7ZRSbyilOpVS9j3dh9a6UWv9QfJ9AHgf+OlOm33imgI/01r/IpmO45VSdTvt91da65TneJRSlcD3MYJvyXC/N8h5rgbKd3GcryqlFu20j//Xd87jVfIaBZN/WpPLzg2QzgIeSr5/CjhJKaXGKIkpMczznBCUUhXAZ4H7hthk1K/nvhDAy4FtA/6uY/AbxBeTxZBPJW9GE81wf4eJ4MhkEd6/lFL7j+WBk8Vkx2LctM5M4T4PxsjNDDSerukkoF1r3bKnO9jFeULymmLkeJx7eox0Sha3fgS0AK9orYe8nlrrGOAD8sc2lXtvGOcJE+N+eztwDZAYYv2oX899IYAP9sSz8xPhc0C11voA4FW2PzVNJMP5HSaCDzCGHjwQuBN4ZoyPfxHwP+BB4OKBK5RS+UqpZ5VS/mQ94S/6cpNKqWqllFZKWQZs/4ZS6hvA34F/Ai8mP1dKqd8BpwAvJW+Es5Nfu0EpdaNSyoVRvF6mlAomlzKl1E+VUn8dcIwzk3WVXcnj7TdgXa1S6gfJ/fuS9XmOnU9YKXUy8MqAYz04WO4/ub+Tk+9/qpR6Qin1sFIqoJRanUzvd7TW/mTd+NPKGD75aYwczJeBmcDByeN0Jff1oFLqxgHHuSxZ79iR/L3LBqzTSqn/p5RanywlWThWuVytdVxrfRBQARw24Jr1J2+wr41+ylJrGOeZ8fdbpdTngBat9dJdbTbIZym9nvtCAK8DBj7hVQANAzfQWrdrrXuTf/4JOHSM0jaWdvs7TARaa39fEZ7W+kXAqpQqGMMkXAQ8klxOU0oVD1i3EAhj1Ptemlx2RQFXJPc18EZxKkZbgEeBy4AvAe0Y17QHQGvdDXwGaNBau5PLDtdbKTUdeAz4DlCI8YDwnFLKNmCzc4F5wGTgAIz6yx1orV/d6Vif2GYIZ2JUaRUAdiBLa/20UsoMPI8x70E1UAb8RWu9GlgA9GIEgJydd6iUOhH4dTLdpcl9/G2nzT4HfAo4MLndacNMb0porbuANzB+14H6/48mH+SyGefVRbsy1HlOkPvt0cCZSqlajH9fJw58ME4a9eu5LwTwxUCNUmpy8sb0ZeDZgRvsVBd8JkY93ETzLHBRMvd2BODTWjemO1GpppQq6ctRKaUOw/g33j5Gxz4Goyj5ieST+Ubg/OQ6M/BF4HqtdbfWegW7yHkkz2EG0Ki1vm2n1VGMBl/LMR4Y1iSP6wNCI0jyl4AXtNavaK2jwC1AFnDUgG3u0Fo3aK07MHJOB41g/7uzCCPX/afk+76HncMwgvbVyQeRHODt5LrJydehrukFwANa6w+SQeJHGMXv1QO2+Y3WuktrvRV4ndSe06CUUoVKqZzk+yzgZIzrNtCzbC+1OQd4TSdbQGWK4ZznRLjfaq1/pLWu0FpXY8SU17TWF+602ahfT8vuN8lsWuuYUuoq4N8YLdIf0FqvVEr9HFiitX4W+JZS6kwghvGE9NW0JXgPKaUew2itW5AsurwBowEJWus/YuSuTgc2YOTSLklPSvfOMM7zHOAKpVQMI5h9eQxvghcDL2ut+2YiejT52e8wcrgWdqyz3tXMekdjBLRosj4xDwgopf5fcv1dyX3Pwgjc25J/XzWC9JYNTIPWOqGU2saO9ehNA973JL+TKk0Y5/kVjJu8I3mu/0oe6+sYLcwHXlM3sHYX17QMoxoFAK11UCnVjnFOtQOO26cnuc/RVgo8lHyQM2E85D2/033ofuAvSqkNGPehL49BulJtOOeZ8ffboYz19ZzwARz6i1Jf3Omz6we8/xHGk3rG0lqft5v1GvjGGCVn1AzjPO/CCG5jKpnbOBcwK6X6AoQdo7X/gcAKjBtWJdtzJFUDdtGdfHUCfq31IqXUWuAWrfV9SqmvAl9PPqT0uUMpVQQ8AbyltV6yU3Xu7h5cGoA5A85BJdNXP5xz3o1uBjQ2S97QPzElotZ6UfLQ1cBmYC5G8fbXSLbuHXhNlVIXY1QbDKUBozSi77gujIZDqTinPaa1XobRQG/nzwfeh8LA/LFMV6oN8zwz/n47kNb6DYyqgjG/nvtCEboQY+HzQBwjR3xQctkPeAu4SGsdx2iM9VOllFMpNYsBjdy01q0YQeZCZbTivRSYOtiBlFKfUkodrpSyYgTKcPLYO2sG8pVS2UOk+Qngs0qpk5L7+j5G/fI7Izz3wazDyFF/NrnvazEeaIbjfYx+779RSrmUMTjI0cl1zUDFTvX0Az0KXKKUOkgZ3fh+hTHmQe0en4kQ45QEcCFS42Lgz1rrrVrrpr4FI+d4QbIRy1UYxbVNGK3U/7zTPi4Drsao392foQOpF6PeuBOjCLwdo/56B1rrNRiN1DYpo5V52U7r1wIXYrTWbwPOAM7QxngJe0Vr7cMYyOI+jAeTboxGPcP5bjyZlmnA1uT3vpRc/RqwEmhSSrUN8t3/ANdhtNxvxHgIysSiaCF2SyYzESJNBhSLH5PutAghMo/kwIUQQogMJAFcCCGEyEBShC6EEEJkIMmBCyGEEBlIArgQYkjJLmvLkl25XMoYN33nsa2FEGmQUUXoBQUFurq6Ot3JEEIIIcbE0qVL27TWnxgECTJsJLbq6mqWLFmS7mQIIYQQY0IpNeSQy1KELoQQQmQgCeBCCCFEBpIALoQQQmSgjKoDF0JkuJ4eaGmB1tbtr52d0NW1fQkGje36lt5eiMUgGmV983xAU5P7KChlLBYL2GxgtxuLwwFu9/bF44GcHMjNNZa8PCgqguJi49U+3DlWhBhfJIALIVJDayMob9oEmzcbr7W1UFcH9fXGa1fX0N/PzjYWjwdcLnA6obDQCMgWC1itBP8zB1BwQqNxPK2N4B6JbF96eqChwXgQCAbB7zded3Xc8vLtS0UFTJoEkydDdTVUVYHVmuIfS4i9JwFcCDEy8Ths3AjLl8OqVbB27fYlENhx2+JiqKyEadPguOOMANmX8y0sNJa8PCNom827P/bxHxqvD45wgrFo1Hh46OyE9nYj59/cbDxwNDUZAb+uzjifxkZIJLZ/12QyAnpNzfZl5kyYNcsI9jvOwS7EmJEALoQYWjgMy5bB0qXwwQfw4YdGkAuFtm9TVQUzZsDFF8P06TBlirFUV0NWVtqSvgOrdfsDw+7EYkYwr601ShI2b4YNG2D9evjrX8Hn276txwP77QezZ8MBB8CBBxqveXmjdipC9JEALoQwaG3krN99F/73P+N1+XIjoIERlA4+GC6/HObMMQLVrFlGUfdEYrEYDx/V1XD88Tuu09rIva9ZYzzIrFoFK1fCc8/BAw9s366yEg49FA45xHidO9codRAihSSAC7GvSiSMAP3mm/Df/xqvra3GOrcbDj8crr7aCECHHmoUI+/rxcVKGYG4qAg+/ekd1zU1GaUVH39slFQsXQrPPLN9fXW18Zv2LYceKg3oxF6RAC7EvkJro2HZq68ay2uvQUeHsa6qCubNg6OPhiOPhP33H16dtNiupMRYTj11+2d+P3z0ESxeDO+9Z5RqPP64sc5uN3LmxxxjLEcfbbSSF2KYJIALMZH19MDrr8OLL8K//mXU54LR+Oqss4wi4uOOM3LXIvW8XiOnPjC33thoVFG8/bax3HYb3HSTkbs/4ADjehx3nHFtpC5d7EJGTWYyd+5cLWOhC7Eb9fXw7LPG8vrrRj9qpxNOOsnIHZ5yitHYLAOLwz9MtkI/+I2D05ySFAqF4P33t1dlvPOO8ZlSRpuDE080rt2xxxrd68Q+RSm1VGs9d9B1EsCFmADWroW//92oc1282Phs2jT43Ofg9NONm7/Dkd40psCEDOA7i0SMa/jaa/Cf/xjF7pGIMVjNsccaD2GnEjdNEwAAFjBJREFUnmq0eM/AhzAxMhLAhZiIVq+GJ5+Ep54yGqOB0TjqrLOMZb/9JtwNfp8I4Dvr6YFFi+Dll42l71qXlMBnPmMsp5xijDYnJpxdBXCpAxcik2zbBo89Bo8+arR2Vspo/PT738MXv2gMlCImFqdze64bjEFnXnnFaNPwzDPw5z8bDQ6POcYocTnjDKNfvpjwJAcuxHjn98MTT8Bf/mLUk4KR0z7vPJg/H8rK0pu+MbRP5sB3JRYzWre/+CI8/7zRjQ2M0eLOOAM+/3k46ijpUZDBpAhdiEwTjxt1oA89BE8/bTRqmjEDLrzQCNxTp6Y7hWkhAXw3tm41Avlzzxn/fiIRKCgwcuZf+IJR1D5eRscTwyJF6EJkim3bjCLR++83bsY5OfDVrxrDlB522ISr0xYpVlUFV15pLIEAvPQS/POf8I9/wIMPGq3YP/tZOPtso3Gjx5PuFIu9IAFciHSLx+GFF+Cee4wbbiIBJ58MN99sNEabAK3HRRp4PEYVy/z5xmQur79ulOb84/+3d+dBVhbnHse/D+tNSeIClEHFJaXIJmFVFIMmECURAStjJGgMIi4EROUiBjTcBBeICLJJEB24RhCNIjhYgIFyQRaRgSA7iAsKooOiCK4sff94DpE7DjIMZ06f5fepmpoznAPzNO/M+5zufrp7mk/JVK3qBXCXX+499B/9KHbEcpgqxA5AJGd9+CHce68f/NGxo2+/2b+/75Y2Zw5ccYWStyRH5cpeBDdunBfBzZvne9q/9hpceaVvDdupkxdIft/Rq5JWlMBFUm3/TbN2bbjjDi84mjoVNm2Cu+/2c6hFykvFir6efORIn7KZPx9uvNHXnnfp4sn88sv9Z/LAU+ck7SiBi6TC7t3eu2nZ0ivIZ8yAHj18LffcuT4nWbly7Cgl11So4MsQR4zwZD5vHnTr5p/z8vzs9q5d4fnnvz2VTtKGErhIedqxA4YO9V51ly5+eMioUb7d6ciRULdu7AhFXIUK3jMfM8Z/PufM8Z749Ol+0M0JJ0Dv3r5sLYNWL2UzJXCR8rBpE/Tp44eG9OvnS8Cee87Pkb7pJlX/SnqrVMkLKfPzvVZj2jQ/YGX8eB9FqlMH/vIX2LgxdqQ5TQlcJJlWr4arr/Z12qNHe3HasmW+p/Ull3gvRySTVK3qBW5PPeXJfMIEX642aJDXb5x3Hvz97/Dxx7EjzTm6m4gkw6JFnqwbNvSlOr17ezX5pEl+opRINjj6aLjmGn9D+u67fgzqzp2+7rxWLa/lePZZ30BGyp0SuEhZheBra9u08V7IggXw17/68Pnw4V5lLpKt9k8PrVjhSyBvusmPQu3Uyffkv/lm/3PNl5cbJXCRwxWCV+X+7Gd+VvOaNTBsmCfugQOhevXYEYqkjhk0buy/A5s3e63Hz3/ua86bNvXnHngAiopiR5p1lMBFSisEP87xvPO8Kvfdd71i9+23vWDtqKNiRygSV6VKXuvxz3/C1q0wdqxvRtSnj/fKO3WCggJfVilHTAlc5FBC8Dm/88+Hiy/2JTbjxnkFbs+e2i1NpCTHHed7HSxeDKtWwS23wKuveq1I7dpw222+D4KUmRK4yPdZsMCHA9u29R732LHwxhu+DWWVKrGjE8kMDRr4fgjvvec98HPP9c1j6tf3Ea1HHvFiODks0RK4mdU2sxfNbK2ZrTazm2PFIvIdy5b5aU3nn+9rt0eN8h53jx6+rEZEDl/lyn5O+bRpPl8+dCh88glcd51XsXfr5oVwKnwrlZg98D3Af4cQ6gEtgZ5mVj9iPCLeu77iCmjWzIf7hgyBN9/0ClslbpHkOf546NvXi0AXLoTOnX2teatW3jO//34Vvh1CtAQeQtgaQliWeLwTWAucGCseyXFbt3rvun59P9rzzju9OO3221WcJlKezHxI/ZFH/PcwP9/nz2+7zZeqXX65r/rYuzd2pGknLebAzexUoAmwuITnrjezQjMr3LZtW6pDk2y3c6cv/Tr9dL+B3HCD97jvuss3rRCR1KlWzYfRFyzwXQ1794aXXvJVHz/5ie+z8N57saNMG9ETuJlVA6YCt4QQPiv+fAhhfAiheQihec2aNVMfoGSn3bt9+8fTT/dkfemlPtc9ZowP7YlIXPuH0Tdv9mVpZ57pCfzUU32p2vTpOb8cLWoCN7PKePKeHEJ4JmYskiNC8CrYs87y7R/r1vXzuZ94wvcvF5H0UrWqD6P/618+OjZgACxfDpdd5nuy9+/vf56DYlahG5APrA0hDI8Vh+SQ5ct929OOHX3eraDAh+datIgdmYiUxmmn+YjZpk3++9uiBdx3n4+ktW0LTz4JX38dO8qUidkDbwX8HviFmS1PfPw6YjySrbZuhWuv9W0dV6yABx/0z5de6olcRDJLpUr++1tQ4Psz3HWXL/Ps3NkL3/r2hfXrY0dZ7mJWoc8PIVgIoVEIoXHiY2aseCQLffUVDB7sZxdPmuS/1Bs3+tB55cqxoxORZDjxRF818uabMHu2n1s+cqRPj11wAUye7PeCLBS9iE0k6UKAqVO9CGbAAB9aW7PGh9qOOSZ2dCJSHipW9K2On37aC9+GDPFtj6+6Ck44wbdyXb06dpRJpQQu2WXVKk/YeXm+fnvuXN/1SQVqIrnj+ON9D4cNG/wcg4su8m2QGzb0jWIefRS++CJ2lEdMCVyyw6ef+vnDjRv7GcRjxvjnNm1iRyYisVSo4Ef+PvGE98aHDoWPPoKuXb1X3qsXvP567CjLTAlcMtu+fb5zU506MHo0dO/u77p79vRCFxERgJo1vQ5m3TpffdK+vW/e1LgxnHOOP961K3aUh0UJXDLX0qV+klH37nDGGf71uHFQo0bsyEQkXZl5cdukSfD++34q2ueff3ugyvXXw5IlGXGgihK4ZJ7t272SvEULeOcdn8+aPx+aNIkdmYhkkuOO86m3lSv9QJW8PE/sZ5/t95MHH/TpuTSlBC6ZY98+mDjRt1R86CHfJ3n9erj6aq3nFpGy23+gysSJvm/E2LE+f96rl8+V/+EP8MoradcrVwKXzLBiBbRu7Qcd1KnjBWojRujAERFJrqOP9pMJly2DwkJP3tOn+/2nbl0vhPvww9hRAkrgku527fLCk6ZNvfhkwgR/J9yoUezIRCTbNWvmhx69/773zmvUgH79fLe3vDzfOCbiMadK4JK+pk+HevVg2DDvea9fD9dc40NbIiKpctRRvvRswQLfFOrmm+Hll+FXv/L92QcOhLffTnlYuhNK+tm0yQ8cuewyOPZYLy4ZPx6qV48dmYjkunr1/JjTLVvgqaegQQO4+24/r7xtW5gyJWVz5Urgkj727IHhw30L1Llzfa5p6VIvLhERSSdVqvgw+qxZvhpm0CDfj33kyJQV1WqnC0kPhYW+/vLf//YNFsaMgVNOiR2ViMihnXwy/PnPcMcdUFSUsm+rHrjEtXOnHzJwzjnwwQd+EEFBgZK3iGSeChXgxz9O2bdTD1zimTHDN2TZssU/33OPloWJiJSSeuCSelu3wm9/Cx06+PGeCxf6kLmSt4hIqSmBS+qE4AcG1Kvnw+T33ONFai1bxo5MRCTjaAhdUmPDBi9Se/llP0hg/HjfUU1ERMpEPXApX7t3w5AhvnPa8uXw8MPwwgtK3iIiR0g9cCk/y5bBtdd64v7Nb/y87lq1YkclIpIV1AOX5PvyS7j9dj+S74MP4JlnfHmYkreISNKoBy7JNW8edO8Ob7zhve+hQ307VBERSSr1wCU5PvvMj+C74ALfEnXuXK84V/IWESkXSuBy5GbNgoYN4aGH4NZbYeVKaNMmdlQiIllNQ+hSdtu3+zaojz3ma7sXLtSabhGRFFEPXMpm6lQ/NWzKFLjzTj+ERMlbRCRl1AOXw1NUBD17elV5kyYwezY0bhw7KhGRnKMeuJROCPD4497rLiiAe++FxYuVvEVEIlEPXA5tyxavMJ8xw4fJJ0zwOW8REYlGPXA5uBA8WTdo4MvChg+H+fOVvEVE0oB64FKyd9/1w0eefx5at4b8fDj99NhRiYhIQtQeuJlNMLMiM1sVMw45QAi+nrthQ+9tjxkDL76o5C0ikmZiD6H/L9Aucgyy31tvQdu2cOONvo/5ypVecV4h9o+JiIgUF/XOHEKYB2yPGYMA+/b5SWFnnQVLlngPfM4cOO202JGJiMhBaA481+0/dOSVV6BdOxg/HmrXjh2ViIgcQtqPjZrZ9WZWaGaF27Ztix1O9ti7F4YNg0aNYMUKmDgRZs5U8hYRyRBpn8BDCONDCM1DCM1r1qwZO5zssHYtnH8+9O0Lv/wlrFkDXbuCWezIRESklNI+gUsS7dkDQ4b4FqgbNsDkyfDss3DCCbEjExGRwxR7GdkUYBFwppltNrNrY8aT1Vau9F3U+veH9u29192li3rdIiIZKmoRWwjhdzG/f0745hsYPBjuuQeOOQaeegry8mJHJSIiR0hV6Nls6VLo1s2L1Lp0gZEjoUaN2FGJiEgSaA48G331FQwYAOecA9u2+Tz35MlK3iIiWUQ98GyzaJH3utet88/33w/HHhs7KhERSTL1wLPF55/DrbdCq1bwxRd+CEl+vpK3iEiWUg88G7zwAlx3ne9l3qMH/O1v8MMfxo5KRETKkXrgmWzHDj/ys00bP3Dk5Zdh7FglbxGRHKAEnqlmzID69X2Y/LbbvNK8devYUYmISIoogWeaoiL43e+gQweoXh1efRXuuw9+8IPYkYmISAopgWeKEGDSJO91T50KgwZBYSG0aBE7MhERiUBFbJlg0yYvTps1y7dDzc/3RC4iIjlLPfB0tncvjB4NDRrAvHm+k9r8+UreIiKiHnjaWr3al4YtWgTt2sG4cXDKKbGjEhGRNKEeeLr56isYOPDbIz8fewxmzlTyFhGR/0c98HTyyive616/Hq66CoYPh5o1Y0clIiJpSD3wdPDJJ74hS+vW8PXXMHu297yVvEVE5CCUwGMKAZ58EurVgwkToG9fWLUKLr44dmQiIpLmNIQeyzvvQM+ePr/drJkvEWvSJHZUIiKSIdQDT7Xdu33ntPr1fWnYAw/A4sVK3iIicljUA0+lRYvghhtg5Uro1AlGjYLatWNHJSIiGUg98FTYvt0T93nnecHatGn+oeQtIiJlpARenkKAf/wD6tb17U/79IE1a7z3LSIicgQ0hF5e1qyBP/7Rz+hu2RLmzIGf/jR2VCIikiXUA0+2XbugXz9P1itWwEMPwYIFSt4iIpJU6oEnSwjwzDNwyy2weTN06wZDhmgzFhERKRfqgSfDunW++UpeHhx3nPe48/OVvEVEpNwogR+JnTvh9tuhUSN47TVfFrZ0qVebi4iIlCMNoZdFCDBlis91b9kCXbv6cPnxx8eOTEREcoR64Idr+XI/dOTKKz1hL1wIEycqeYuISEopgZfWRx9Bjx6+b/m6dfDwwz5sfu65sSMTEZEcpAR+KLt3w4gRcMYZnrR79YING6B7d6hYMXZ0IiKSozQH/n1mzvTd09avh4su8oNH6tePHZWIiIh64CVatQratYNLLoF9+2DGDJg9W8lbRETSRtQEbmbtzGy9mW00sz/FjAWAoiK48UbfNW3xYhg2zJN5+/ZgFjs6ERGR/4g2hG5mFYEHgV8Cm4ElZlYQQliT8mC+/NLnuQcP9se9esHAgVC9espDERERKY2YPfCzgY0hhLdCCN8ATwAdUxrBvn3w6KNQpw4MGAAXXug97pEjlbxFRCStxUzgJwLvHfD15sSfpcZLL/mSsK5doVYt/7qgAM48M2UhiIiIlFXMKvSSJpXDd15kdj1wPcDJJ5+cvO++bBl8+ik8/jhccQVUUD2fSLqr1rha7BBE0oaF8J2cmZpvbHYu8JcQwsWJr/sDhBAGH+zvNG/ePBQWFiYngG++8S1Rq1ZNzr8nIiKSZGa2NITQvKTnYnY7lwBnmNlpZlYF6AwUpOy7V6mi5C0iIhkr2hB6CGGPmfUCngcqAhNCCKtjxSMiIpJJou7EFkKYCcyMGYOIiEgmUuWWiIhIBopWxFYWZrYN2JTEf7IG8FES/710pXZmF7Uzu6id2SXZ7TwlhFCzpCcyKoEnm5kVHqy6L5uondlF7cwuamd2SWU7NYQuIiKSgZTARUREMlCuJ/DxsQNIEbUzu6id2UXtzC4pa2dOz4GLiIhkqlzvgYuIiGSknEjgZtbOzNab2UYz+1MJz3c1s21mtjzx0T1GnEfCzCaYWZGZrTrI82ZmoxL/ByvMrGmqY0yGUrTzQjPbccC1HJjqGJPBzGqb2YtmttbMVpvZzSW8JuOvaSnbmfHX1Mz+y8xeM7PXE+38awmvqWpmTyau52IzOzX1kR6ZUrYz4++3+5lZRTP7t5k9V8Jz5X89QwhZ/YFv0/om8BOgCvA6UL/Ya7oCY2LHeoTtbA00BVYd5PlfA7PwU+BaAotjx1xO7bwQeC52nEloZy2gaeLxD4ENJfzcZvw1LWU7M/6aJq5RtcTjysBioGWx1/wRGJd43Bl4Mnbc5dTOjL/fHtCWPsDjJf18puJ65kIP/GxgYwjhrRDCN8ATQMfIMSVdCGEesP17XtIR+EdwrwLHmFmt1ESXPKVoZ1YIIWwNISxLPN4JrAVOLPayjL+mpWxnxktco12JLysnPooXIHUEHk08fhpoY2YlHbuctkrZzqxgZicBlwCPHOQl5X49cyGBnwi8d8DXmyn5BvGbxDDk02ZWOzWhpVRp/x+ywbmJIbxZZtYgdjBHKjH01gTvzRwoq67p97QTsuCaJoZblwNFwJwQwkGvZwhhD7ADqJ7aKI9cKdoJ2XG/HQH0A/Yd5Plyv565kMBLesdT/B3hDODUEEIjYC7fvmvKJqX5f8gGy/CtB38KjAamR47niJhZNWAqcEsI4bPiT5fwVzLymh6inVlxTUMIe0MIjYGTgLPNrGGxl2TF9SxFOzP+fmtm7YGiEMLS73tZCX+W1OuZCwl8M3DgO7yTgPcPfEEI4eMQwteJLx8GmqUotlQ65P9DNgghfLZ/CC/4aXeVzaxG5LDKxMwq40ltcgjhmRJekhXX9FDtzKZrChBC+BR4CWhX7Kn/XE8zqwQcTQZPFx2snVlyv20FdDCzd/Bp2V+Y2aRiryn365kLCXwJcIaZnWZmVfBigoIDX1Bs3rADPg+XbQqAqxOVyy2BHSGErbGDSjYz+/H+eSYzOxv/Gf84blSHL9GGfGBtCGH4QV6W8de0NO3MhmtqZjXN7JjE4x8AbYF1xV5WAPwh8TgPeCEkKqAyRWnamQ332xBC/xDCSSGEU/Gc8kII4apiLyv36xn1PPBUCCHsMbNewPN4RfqEEMJqMxsEFIYQCoDeZtYB2IO/Q+oaLeAyMrMpeLVuDTPbDPwPXkBCCGEcfu76r4GNwBfANXEiPTKlaGce0MPM9gBfAp0z7SaY0Ar4PbAyMZ8IMAA4GbLqmpamndlwTWsBj5pZRfwNyD9DCM8Vuw/lA4+Z2Ub8PtQ5XrhlVpp2Zvz99mBSfT21E5uIiEgGyoUhdBERkayjBC4iIpKBlMBFREQykBK4iIhIBlICFxERyUBK4CIiIhlICVxERCQDKYGLiIhkoP8DUbkwNak4Ct0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# BO by maximizing mean\n", + "num_measurements = 5\n", + "Number_of_iterations = 20\n", + "\n", + "# The value (y) and position (x) of the true max\n", + "true_max_y = np.max(Y_grid)\n", + "true_max_x = X_grid[np.argmax(Y_grid)]\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value with noise\n", + "Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + "# We will use this matrix to store the GP mean at every iteration.\n", + "Y_estimates = np.full((len(X_grid),Number_of_iterations),np.nan)\n", + "\n", + "for i in range(0, Number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with a magneta line where we want to sample next.\n", + " # The red dot shows where the maximum is.\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8zpARKEZ7GL7" + }, + "source": [ + "To quantify how well this method works at finding the maximum, we will compute the minimum regret.\n", + "
This method **assumes that we know the correct answer**." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 758, + "status": "ok", + "timestamp": 1615737962603, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "1sFztSho7HF4", + "outputId": "9644e8d6-d4d4-4910-a338-b45fbc997dba" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This function computes the minimum regret.\n", + "# It takes as input:\n", + "# 1. The samples that have been measured, in the order that they were measured\n", + "# 2. The maximum\n", + "# It outputs the minimum regret at every iteration.\n", + "def calc_min_regret(Y_samples, Y_max):\n", + " min_regret = Y_max - np.maximum.accumulate(Y_samples)\n", + " return min_regret\n", + "\n", + "# Calculate the minimum regret for out previous exercise\n", + "min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + "\n", + "# Plot the minimum regret as a function of iteration number.\n", + "plt.figure()\n", + "plt.plot(range(0,len(Y_samples)),min_regret)\n", + "plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + "plt.ylabel('Minimum Regret')\n", + "plt.xlabel('Iteration Number')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RzHNKGEE7Lh5" + }, + "source": [ + "Let's quantify how well the previous exercise did at identifying the full function.\n", + "
For this we will use Root Mean Square Error (RMSE) between the predicted function values, given by the GP mean, and the true function values." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 1011, + "status": "ok", + "timestamp": 1615737988570, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Griy71F27MSn", + "outputId": "db432cb6-e3df-4a15-872c-3068a7fdc3da" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Iteration Number')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Now lets look at how well this method works at identifying the function\n", + "# Calculates the Root Mean Square Error at each iteration.\n", + "def calc_rmse(Y_estimates, Y_grid):\n", + " residuals_squared = np.square( Y_estimates - np.tile(Y_grid,(1,Y_estimates.shape[1])) )\n", + " rmse = np.sqrt( np.mean( residuals_squared, axis = 0) )\n", + " return rmse\n", + " \n", + "# Plot the RMSE\n", + "rmse = calc_rmse(Y_estimates, Y_grid)\n", + "plt.figure()\n", + "plt.plot(range(0, Number_of_iterations), rmse)\n", + "plt.plot(range(0, Number_of_iterations), rmse,'k.')\n", + "plt.ylabel('Root Mean Square Error')\n", + "plt.xlabel('Iteration Number') " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AwjcZP5l7QL2" + }, + "source": [ + "If we don't know the correct answer in either case (the true maximum, or the true underlying function) we can instead look at convergence." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 673 + }, + "executionInfo": { + "elapsed": 2110, + "status": "ok", + "timestamp": 1615737991850, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "Aictm78C7RF4", + "outputId": "fbc5ebf6-ef23-4228-8f4c-ccd5927f3984" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Y values')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(X_samples)\n", + "plt.title('X values')\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(Y_samples)\n", + "plt.title('Y values')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1ciU-b2G7UBj" + }, + "source": [ + "Convergence for identifying the true curve" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 338 + }, + "executionInfo": { + "elapsed": 451, + "status": "ok", + "timestamp": 1615737994053, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "u3fd8w8g7WOr", + "outputId": "0b57130d-9fa0-449f-fee4-0e5f596418ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def calc_function_convergence_using_RMSE(Y_estimates):\n", + " rmse_ = np.sqrt( np.mean( np.square( np.diff(Y_estimates, axis = 1) ), axis = 0 ) )\n", + " return rmse_\n", + "\n", + "rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.plot(rmse_)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1992, + "status": "ok", + "timestamp": 1615737997999, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "IuQhNH487Ymh", + "outputId": "9ba8781c-a8ac-49e0-d6ae-288d3551378a" + }, + "outputs": [ + { + "data": { + "image/png": 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n2ZmiOJL7iZfi8TgnnHgiHYkEsVhMgypFRIZR7l/1B2lSVSmrW5RYS8GaCqxIu90YbtvOzA4Ddnf3e7sduz/gZna/mT1lZl/p7SJmdr6ZLTazxWvXrs1W7HnpsWXrqR4f48xDp9CeTLFs7dZchwTAXX+9PxxU+eZg77EkHo9z9dVXawpDERkTxmyP9aTKMtZtSdCe7CRWHMl1OCIjzXrY5tt3mhUB1wHn9dCuGDgWeDvQCiwwsyfdfcEOJ3S/AbgBYPbs2d59vwTcnfiydRyz7wRmTQnKQOqbN3HApPE5jast0cmjW3bDIsV4Z3LMDaq8ed6DnHf26XQmOygrVW+7iIx+Y7jHOgbAmpb2HEcikhONwO5pt6cBzWm3xwMHAXVm9ipwNDDPzGaHx/7D3de5eyswHzh8RKLOUy+t3sK6LQmO2WcCe08oJ1ZcRENzS67D4n/mPc/qsj35yU1/Ysqc8zj90l+MicR03ZZ2vnrXs3zuhzfTmewAT9E+BnvbRaTwjOHEugyAVSoHkcK0CNjPzPYysyhwDjCva6e7b3L3Ce4+3d2nA48DZ4SzgtwPHGJm48KBjMezY222DEBXfXXNPrtSHCniwMmV1Oc4sb5j8QpuX9zIhSfsy4XnnMZHP/N5XkhNpj3ZmdO4+pJIpvjVI8s54Xt13PlkIx94z7soK42BFUFR8ZjqbReRwjSGS0FKATSAUQqSuyfN7EKCJDkC/Mbd683sCmCxu8/r49gNZvZDguTcgfnu/tcRCTxPLVy2nt13KWP3XcYBMHNyJX99thl3x6ynqp3h9cKqFr559/PU7L0rXzhpfwDmzpzIrYtW8PjyNzh+/+oRj6k/f39hDVfe28DydVs54YBqvvGemexTXcF5x+zFD373Jx7bOpHKPWfmOkwRkT6N3cS6KkisVyuxlgLl7vMJyjjSt13WS9vabrdvJphyT4Yo2Zni8eXrOe3gydu3zZpSyS3/ep3GDW3bk+2RsqU9yWf/8BTjS0v48bmHEikKEvtj9p1AWUmEBxtWjZrEOh6Pc9df72eJ70595yT2nlDO/533dk44cLftbWpqavj122Zz5NUPccu/XufbZx2cw4hFRPo2ZktBKkuLKSuJqMdaRHKqvrmFzduS1Oyz6/Zts6ZUAtCwcmTLQdydS//0HK+u28pPzjmM3caXbt9XWhLh+P2reahhDe65H4da98ijHF97Ij+4+kruu/YCzt2zjb994bi3JNVdqsaVcNohk/nL0820JpI5iFZEJDNjNrE2MyZryj0RybGFy4JpwN+xz4Tt2w6cVEmRMeJ11n944nXu+XczF598wFsS/S5zZ05kVcs2nmvaNKJxdffMio184prf0dGRAE9R5EkqN75MtLj3t6QPHbkHW9qT3PPv5l7biIjk2phNrCEoB1m5qS3XYYhIAVu4bB37T6ygenxs+7ayaIS9qytoaB65BPa5xk1ccU8Dx+9fzf87fp8e25x44G5EiowHG1aPWFzpEskUP3jgRd73i4WM2/MQYrEokUiEaDTa78DEI/bcmf0nVvDHf63os52ISC6N7cS6spTVmm5PRHKkPdnJolffeEtvdZdZU0ZuZpBNbR189o9PsmtFlOs+eChFRT0PmNy5PMrsPXfmgfqRT6xfWNXCWdc/xk8fXspZh07lses+w98ffpgrr7wyo/mpzYxzj9yDf6/YSP0IfmARERmIsZ1Yh6UgqVTu6wVFpPA8/fpGtnWkeEcPZRezplSyctM23tiaGNYY3J0v3/FvVm7cxs8+dDi7lEf7bD935kReXL2Z19e3DmtcXTpTzi/qlnHGTx9jzeZt3PDRI/jBB95GZWkJNTU1XHrppRnPrf0fh00jVlzELf96fZijFhEZnDGfWCdTzrqt6rUWkZG3cNl6igyO2runxDpYgXG4F4r52v/exR2//inv372VI/bcud/2J8+cBMADDauGNS6AV9dt5QO/jPPdv73AnBm7cf8XjuPkWZMGfT4NYhSR0W5sJ9bhXNarNDOIiORAfNk6Dp5aRVVZyQ77Zk4OZgYZzrKFO+Yv4LsXfZhNj97Mjy/+GPF4vN9j9th1HAdOGj+sddYLFy7k/f/vK9R++QZeXr2ZH33wUH7+4cPZtSLW/8H90CBGERnNxnZiXaXEWkRyY2t7kqdf30hND/XVENQzT6kqHdY66+/85i68M4mnUiQGsOT33JkTWfTqG8NSpvLwPx7huBNO5M5f/oDGP1zK1cfEOOuwqVlbKEeDGEVkNMuPxFpT7onICFv06hskU84x++5YBtJl5pSqYZvLuu7FNTSX7U1JNPOZNbrMnTmRlMPDL6zJakwr3mjlM9+7ic6ODvAUpJI8t7j/XvSB0CBGERnNxnRiPaE8RnGRqcdaREbcwmXrKYkYs/fcpdc2s6ZUsnztFtoSnVm9dkdniivvbeCAQ47goQcfynhmjS4HT61iUmUpD2axzvrx5es58/rH6Jw4Y0DT6A3GcA9ijMfjXHPNNRmV1oiIpBuzS5oDFBUZEytLlViLyIhbuGwdh+2xM2XRSK9tZk6pJOWwZFULh+/R/8DCTN38+GssW7uVGz82m+NmTuS4dx4zoOPNjJNm7sZdTzaxraOT0pLe70Mmbnr8Nb41r549dx3Hnd/5FKs/eTR1dXXU1tZmnOwPRPogxq+9ewbjotl5K2tNJPn+Tffwrf93LpZKEo1GB/SBRURkTPdYA0ysjGlZcxEZURtbE9Q3t3BML/XVXbqWNs9mnfWGrQl+9NDLHLvvBE6asePy35k6eeYk2jo6efTldYM+RyKZ4mt/fo5v/uV5jtu/mj9fcAx7V1cMeBq9wcjmIMYXVrVw2d3Pc9RVC7ju938hleygs7NzQHXrIiIwxnusASZXlbFkmGoYRUR68vjy9bjDO/qorwaYulMZVWUlWZ1y77qHXmLztg6++Z6ZQxoQePTeuzI+VsyDDas5aebEAR+/bks7n735Kf716ht8tnYfLj75ACK9LEwzHI7Yc2f22y0YxPjBt+8x4OO3dXRy3/Mr+cPjr7P4tQ1Ei4s47eDJHPy2D3HhojtIJBLDVsoiIvlrzCfWk6pKefiFNbh71kadi4j0ZeGy9YyLRnjbtJ36bGdmzJpSmbWlzV9avZk/PPE6Hz5qTw6YNH5I54oWF3H8AdUseGE1nSnPOCmOx+PcNu9vPLxxAokJ+/KTcw/jjLdNGVIsg2FmfOioPfjWPQ3UN2/aPm94X+LxOH/66/1s2ml//tU6gY2tHew1oZxvnDaD9x0+jZ3DxXVmLFgwrKUsIpK/xn5iXVlKW0cnLduSPc4lKyKSbY8tXcfbp+9CtLj/arqZkyu56fHXSHamKI4MvvrO3bny3gbKoxH+e+7+gz5PurkzJ3Lvsyt5ZsUGjuhjEGaXeDxO7YknkmhPUFRcwu/uvCcnSXWX/zhsGt+57wVu+dfrfPusg3tt5+7ceOff+OyH30tnsgOLFPPer/+Siz/5Hmr22XWHTpmamhol1CIyKGO+xlpzWYvISFrdso1la7f2uIx5T2ZNraQ9mWLZ2q1Duu6CJWt45OV1fOGk/ftdtjxTtQfsRnGR8UB9ZovFXP/Hu0m0J8BTWCrJivrFWYljsPpbiTGVcv72/ErO+vlCLvnZrXQmg2kAi7yT2bGVvGPfCfqmU0SyKn8Sa81lLSIjIL5sPQDH7Nv3wMUu25c2Xzn4cpBEMsVV85ewT3U5H63Zc9Dn6a6qrISafXbNaBXGO59sZMGmCUSKS4Z1Kr2B6mkQY3uyk9sWvc5J1/2Dz9z8FBtbE3z+o2dSVhobVbGLSP7Ji1IQgFWb2nIciYgUgseWrqOqrIQZ4ZLl/dl7Qjmx4iLqm1p472GDu+bvFr7KK+u28n//+XZKhlBO0pO5Mydy2d31LF2zhX13q+ixze2LV3DJXc8y57h38slPPkT8sUdGTf1x1yDGn916H0v+to62XfenbuPOrG5pZ9aUSn72ocM49aDJRIqMd81S7bSIDK8xn1hP3J5Yt+c4EhHJd+7OwmXrqdl714wH+xVHijhw0vhBT7m3bks7P1nwMrUHVHPCAYOfXq83J80IEusHG1b3mFjftuh1vvqn5zh23wnc+LHZlJZEqD3u2KzHMVhmxpHl67jmJxfxaGcSixRz0sU/4/ufOItju5V6qHZaRIbbmC8FiRYXMaEiyqoW9ViLyPBa8UYbTRvb+p1mr7uZU6qob96Euw/4mj944CXaOjr5xmkzB3xsJqbsVMZBUyt5oIdVGP/4xOtcctdzHLdf9fakejQqXrUE70xur58+oWod79yvWvXTIjLixnxiDWj1RREZEY8tCxZTeUc/C8N0N2tKJS3bkjRtHFgHQENzC7ctep2P1uzZa5lGNsydMYlnVmxkzeY3X0dvevw1vvbn5zjhgGp++dEjRm1SDXDKyXNUPy0io0JeJNaTq0q1+qKIDLuFy9az2/gY+1SXD+i4wazAuHDhQs654BKK173MF+ZkZ3q93pw8ayLuwcwjAL+Pv8o3//I8J83Yjf8d5Uk1BCUeCxYs4Morr9QS5CKSU2O+xhqCHusnX9uQ6zBEJI+5O/Fl63ao283EgZMqKbIgsX7XrEn9to/H45w4Zw7t7cHqfw3/ddSwJosHThrPtJ3LeLBhNe0dnVx+TwNzZ07k+g8dntFc3aOB6qdFZDQYG6+Y/ZhcVcqG1g62dXTmOhQRyVMvrd7Cui0J3pHhNHvpyqIR9q6uyHgFxgcXPEx7OF90Z7KDurq6AV9zIMyMuTMn8reH/8F/f+1yDo2uHlNJtYjIaJEXr5pdM4Os1lzWIjJMfn/3A2yK305s/dJBHT9rSmXGpSDrx++LRYopGsGa4WmJRlbd8nU2PXozD3z/Qp5c9MSwX1NEJN/kRWI9uaoMQHXWIjIs4vE4373ow2x85GbOfe9pxOPxAZ9j1pRKVm7axhtbE322W/FGK39bW8l/fOOXfHsEa4bXvPQU5p14KkUikRj2XnIRkXyUUWJtZqeY2YtmttTMvtrD/j3M7O9m9rSZPWtm785+qL3rWn1RPdYiMhzq6uro7AiWwx5s0jlzcrgCYz+91lfe20CRGT/9wge59NJLR6xuuLa2llg0qpk1RESGoN/Bi2YWAa4H5gKNwCIzm+fuDWnNvgHc7u6/MLOZwHxg+jDE26OuxFo91iIyHI4//ngsUgKp5KCTzjdnBtnEsfv1XKf9z5fW8kDDar78rgO2fxM3Urpm1tDKhCIig5fJrCBHAkvdfTmAmd0KnAmkJ9YOdK3vWwU0ZzPI/lTEihkfK9Zc1lJQzOwU4MdABPiVu3+nl3ZnA3cAb3f3xWnb9yB4Hl/u7t8fgZDHrAPfNpuJ53ybd4xbzZfO+49BJZ07l0eZUlXaa511Ipni8nvqmb7rOD75zr2GGvKgaGYNEZGhySSxngqsSLvdCBzVrc3lwANm9jmgHDippxOZ2fnA+QB77LHHQGPt08QqLRIjhSPDb5Iws/HARUBPI9GuA+4b7ljzQdOGNmJTZ/Cpj3yEmoP6ny6vNzOnVNGwsufE+rcLX2H52q385rzZxIpH97zRIiLSs0xqrHuasLX7urznAr9192nAu4GbzGyHc7v7De4+291nV1dXDzzaPkyuKmWlaqylcGz/JsndE0DXN0ndXQlcC7zlyWFmZwHLgfrhDjQfNG1sBWDazkMrz5g5pZLla7fQlnjr1KBrWrbx44deZs6Bu3HigROHdA0REcmdTBLrRmD3tNvT2LHU4xPA7QDuHgdKgYFP9joEEytLWa0eaykcPX2TNDW9gZkdBuzu7vd2214OXAJ8q7+LmNn5ZrbYzBavXbt26FGPUY0bgqXIh5pYz5pSScphyaq39lpfc98LdHQ633zPzCGdX0REciuTxHoRsJ+Z7WVmUeAcYF63Nq8DcwDMbAZBYj2i78KTq0pZs3kbyc7USF5WJFf6/CYp/MboOuDiHtp9C7jO3bf0d5Hh/JZpLGnc0EZ5NEJVWcmQztPT0uaLX32DPz/dxKeO24vpEwa2VLqIiIwu/dZYu3vSzC4E7icYJPUbd683syuAxe4+j+DN+0Yz+2+CN/fz3L17uciwmlhZSsph3ZbE9llCRPJYf98kjQcOAurC5bcnAfPM7AyCMSC+WRUAACAASURBVBJnm9m1wE5Aysy2ufvPRiTyMahxQxvTdh434KXMu5u6UxlVZSXbp9zrTDmX3V3P5KpSLjhh32yEKiIiOZTJ4EXcfT7BFHrp2y5L+38DcEx2QxuYydun3GtTYi2FYPs3SUATwTdJH+ra6e6bSCvHMrM64EvhrCDvTNt+ObBFSXXfmja2MXWIZSAQLB0+c3Ll9qXNb/nX6zSsbOFnHzqMcdGMXo5FRGQUy4uVF0HLmkthcfck0PVN0hKCeeTrzeyKsFdasqhpQ+uQ66u7zJpSyQurNrN2czvff+BFavbeldMOnpyVc4uISG7lTRfJZC0SIwWmv2+Sum2v7WX75VkPLM+0bOugZVuSqTtlKbGeWkl7MsXnbnmKzduSXH7GrCGXmIiIyOiQNz3Wu5RHiUaKWKUeaxHJoqZwRpBslIIAzJpSRXvTEu7/w/9Su9MGDpg0PivnFRGR3MubHmszY2JVTIvEiEhWNW2fam9cVs63+uVnWX3r1/HOJLcsuoNPvnNvrXYoIpIn8qbHGmByZZkSaxHJqsYNweIw2SoFefSRf2KpJHiKRCJBXV1dVs4rIiK5l1eJ9cSqUpWCiEhWNW1sI1ZcxISKaFbOV1tbSywWIxKJEI1Gqa2tzcp5RUQk9/KmFASCAYwP1G/D3TUYSESyonFDMNVetl5TampqWLBgAXV1ddTW1qoMREQkj+RVYj2xspT2ZIqNrR3sXJ6d3iURKWxNG9uyVgbSpaamRgm1iEgeyqtSEE25JyLZ1hSuuigiItKfvEqstUiMiGRTayLJ+q2JrC0OIyIi+S2vEmv1WItINjVv7JpqT4m1iIj0L68S6+rxMczQzCAikhUruhaHyXKNtYiI5Ke8SqxLIkVUV8RYtakt16GISB7I9qqLIiKS3/IqsQaYVFXKqpb2XIchInmgaWMbJRFjt/GluQ5FRETGgPxLrCtL1WMtIlnRuKGNyVVlRIo0L76IiPQv/xLrqlItay4iWdG0oVUDF0VEJGN5mVi3bEvSmkjmOhQRGeMaN2R/cRgREclfeZdYd025p15rERmK9mQnaza3a+CiiIhkLO8S665FYpRYi8hQrNwYvIZo1UUREclU3iXWk6uC3iXNZS0iQ9GoOaxFRGSA8i6xnlSp1RdFZOiaNrYCWnVRREQyl3eJdVk0QlVZCavVYy0iQ9C4oY0iCwZEi4iIZCLvEmuA0jeWct/NvyAej+c6FBEZo5o2tDGpspSSSF6+TIqIyDDIu3eMeDzOk7/4Iovv+l/mzJmj5FpEBqVxY5sGLoqIyIDkXWJdV1dHqrMDPEUikaCuri7XIYnIGNS0oU1T7YmIyIDkXWJdW1tLpDgKVkQ0GqW2tjbXIYnIGJPsTLGqZZsGLoqIyIDkXWJdU1PDf131a6prP8aCBQuoqanJdUgiMsasatlGZ8o11Z6IiAxIca4DGA4zDp3N/euqOPKoo3MdioiMQdvnsFaPtYiIDEDe9VgDlEeDzwtbE8kcRyIiY1FTmFhr8KKIiAxEfibWsSCxbm3vzHEkIjIWdfVYT9Yc1iIiMgB5mlhHANjSrh5rERm4po2t7DY+RmlJJNehiIjIGJKfiXVXKYgSa8ljZnaKmb1oZkvN7Kt9tDvbzNzMZoe355rZk2b2XPjviSMX9djQtFFT7YmIyMDlZ2IdU4215DcziwDXA6cCM4FzzWxmD+3GAxcBT6RtXgec7u4HAx8Hbhr+iMeWxg1tmhFEREQGLC8T64quxFo11pK/jgSWuvtyd08AtwJn9tDuSuBaYFvXBnd/2t2bw5v1QKmZxYY74LEilXKateqiiIgMQl4m1l011ioFkTw2FViRdrsx3LadmR0G7O7u9/ZxnvcBT7t7e087zex8M1tsZovXrl071JjHhDWb2+nodJWCiIjIgOVpYq1SEMl71sM2377TrAi4Dri41xOYzQK+C3y6tzbufoO7z3b32dXV1UMId+xo2tgKoFUXRURkwPI7sVaPteSvRmD3tNvTgOa02+OBg4A6M3sVOBqYlzaAcRrwZ+Bj7r5sRCIeI7qm2pumGmsRERmgvEysx5V0TbenGmvJW4uA/cxsLzOLAucA87p2uvsmd5/g7tPdfTrwOHCGuy82s52AvwKXuvtjuQh+NNOqiyIiMlh5mVgXFRnjohH1WEvecvckcCFwP7AEuN3d683sCjM7o5/DLwT2Bb5pZs+EP7sNc8hjRtPGNnYpjzIunLZTREQkU3n7zlEeK6ZVNdaSx9x9PjC/27bLemlbm/b/bwPfHtbgxjBNtSciIoOVlz3WEEy5p1IQERmopg2tGrgoIiKDkreJtUpBRGSg3D1YdVE91iIiMgh5m1iXx4qVWIvIgKzfmmBbR0o91iIiMigZJdZmdoqZvWhmS83sq720+YCZNZhZvZn9MbthDlxFrFjzWIvIgDRtnxFEqy6KiMjA9Tt40cwiwPXAXIK5cxeZ2Tx3b0hrsx9wKXCMu28YDTMMlMeK2bpONdYikrntU+2pFERERAYhkx7rI4Gl7r7c3RPArcCZ3dp8Crje3TcAuPua7IY5cOXRCFtUCiIiA9C16qLmsBYRkcHIJLGeCqxIu90Ybku3P7C/mT1mZo+b2Sk9ncjMzjezxWa2eO3atYOLOEPlsWJalViLyAA0bWhjfGkxVWUluQ5FRETGoEwSa+thm3e7XQzsB9QC5wK/Cld3e+tB7je4+2x3n11dXT3QWAekPFbM1kQnqVT3UEVEeta4oY1pqq8WEZFByiSxbgR2T7s9DWjuoc3d7t7h7q8ALxIk2jlTHg2WNW/tUJ21iGRGU+2JiMhQZJJYLwL2M7O9zCwKnAPM69bmL8AJAGY2gaA0ZHk2Ax2o8lgwLlPlICKSCXenaUObptoTEZFB6zexdvckcCFwP7AEuN3d683sCjM7I2x2P7DezBqAvwNfdvf1wxV0JirCxFoDGEUkEy1tSTa3J5VYi4jIoPU73R6Au88H5nfbdlna/x34YvgzKnT1WG/VsuYikoHGrhlBVAoiIiKDlL8rL4Y11uqxFpFMdM1hrcGLIiIyWPmbWHfVWGv1RRHJwJurLqrHWkREBifvE2v1WItIJpo2tlFWEmHncZrDWkREBiePE+ugFEQ11iKSicYNrUzbuQyznqbuFxER6V8eJ9YqBRGRzDVtbFMZiIiIDEn+JtZRlYKISOYaNYe1iIgMUd4m1pEio7SkiK1KrEWkH1vbk2xs7WDqTpoRREREBi9vE2sIFonZmlCNtYj0rWmjZgQREZGhy+vEujxWrB5rEelX44ZgcRiVgoiIyFDkd2IdVWItIv3rmsN6mlZdFBGRIcjvxDoW0eBFEelX44Y2osVFTKiI5ToUEREZw/I8sS6mVTXWItKPxo1tTN2pjKIizWEtIiKDl/eJtXqsRaQ/TRuCxFpERGQo8juxjkZUYy0i/dIc1iIikg35nVjHimnVkuYi0odtHZ00vfgM9fN/Rzwez3U4IiIyhuV1Yh3MY53E3XMdioiMUvc88HdW3/p15v/2x8yZM0fJtYiIDFpeJ9bjosWkHNo61Gst+cfMTjGzF81sqZl9tY92Z5uZm9nstG2Xhse9aGbvGpmIR6d77l+AdyZJpTpJJBLU1dXlOiQRERmj8jqxrohFADSAUfKOmUWA64FTgZnAuWY2s4d244GLgCfSts0EzgFmAacAPw/PV5DKpx+CRYqJRCJEo1Fqa2tzHZKIiIxRxbkOYDiVx4K719reCeNzHIxIdh0JLHX35QBmditwJtDQrd2VwLXAl9K2nQnc6u7twCtmtjQ8X0HWQGyp2pujL/wRp++2kdraWmpqanIdkoiIjFEFkVirx1ry0FRgRdrtRuCo9AZmdhiwu7vfa2Zf6nbs492OndrTRczsfOB8gD322CMLYY8u7k5DcwsnvuMdXPr+t+U6HBERGePyuhSkPBok1ppyT/JQTyuZbB+la2ZFwHXAxQM99i0b3W9w99nuPru6unpQgY5maza3s35rgllTKnMdioiI5IE877EOyka1+qLkoUZg97Tb04DmtNvjgYOAOjMDmATMM7MzMji2YDQ0twAwc0pVjiMREZF8kNc91hUqBZH8tQjYz8z2MrMowWDEeV073X2Tu09w9+nuPp2g9OMMd18ctjvHzGJmthewH/Cvkb8LuVffvAmAGZM1CENERIYur3usx8VUCiL5yd2TZnYhcD8QAX7j7vVmdgWw2N3n9XFsvZndTjDQMQlc4O4F+bVOw8oW9tx1HONLS3IdioiI5IG8Tqwrouqxlvzl7vOB+d22XdZL29put68Crhq24MaI+uYW1VeLiEjW5HUpiGqsRaQ3m7d18Nr6VmZOVmItIiLZkdeJdXGkiFhxkUpBRGQHS1ZuBmCWBi6KiEiW5HViDcFc1ioFEZHuGsKBizNVCiIiIllSAIl1RKUgIrKD+uYWJlRE2W18LNehiIhInsj/xDqqHmsR2VF9cwszJlcSzvMtIiIyZPmfWMeKVWMtIm+RSKZ4ec1m1VeLiEhWFUZirVIQEUnz8prNdHS66qtFRCSr8j6xrohF1GMtIm/RtZS55rAWEZFsyvvEelxUpSAi8lb1zS2Mi0aYvmt5rkMREZE8kveJdYWm2xORbhpWtnDgpPFEijRwUUREsifvE+uu6fbcPdehiMgokEo5S5pbNHBRRESyrgAS62I6U057MpXrUERkFGjc0Mbm9qQGLoqISNblf2IdLQZQOYiIAFAfrriogYsiIpJt+Z9Yx4LEurVdU+6JSDBwMVJk7D9xfK5DERGRPJP3iXVFLAKox1pEAg0rW9i3uoLSkkiuQxERkTyT94n1uLAUZGtCibWIBKUgqq8WEZHhkPeJdVcpiHqsRWTdlnZWt7SrvlpERIZF3ifWFaqxFpFQ14qLMycrsRYRkezL+8S6PKyx1uqLItKwMkys1WMtIiLDIKPE2sxOMbMXzWypmX21j3Znm5mb2ezshTg0mm5PRLrUN7cwdacydhoXzXUoIiKSh/pNrM0sAlwPnArMBM41s5k9tBsPXAQ8ke0gh2L7dHsavChS8Bo0cFFERIZRJj3WRwJL3X25uyeAW4Eze2h3JXAtsC2L8Q1ZtLiIaKSILaqxFilorYkky9dtVX21iIgMm0wS66nAirTbjeG27czsMGB3d7+3rxOZ2flmttjMFq9du3bAwQ7WuFhENdYiBe6FVZtx14qLIiIyfDJJrK2Hbb59p1kRcB1wcX8ncvcb3H22u8+urq7OPMohKo8Wax5rkQJX36yBiyIiMrwySawbgd3Tbk8DmtNujwcOAurM7FXgaGDeaBrAWBErVo+1SIFraN5EVVkJU3cqy3UoIiKSpzJJrBcB+5nZXmYWBc4B5nXtdPdN7j7B3ae7+3TgceAMd188LBEPQlAKohprkULW0NzCrCmVmPX0JZyIiMjQ9ZtYu3sSuBC4H1gC3O7u9WZ2hZmdMdwBZkNFrFjT7YkUsGRnihdWbdbARRERGVbFmTRy9/nA/G7bLuulbe3Qw8qu8mgxq1tG1WQlIjKClq/bSnsyxaypSqxFRGT45P3KixDMZa1SEMk3/S3cZGafMbPnzOwZM3u0a/55Mysxs9+F+5aY2aUjH/3Iqm/eBMDMyVU5jkRERPJZgSTWEZWCSF7JcOGmP7r7we5+KMEc8z8Mt78fiLn7wcARwKfNbPqIBJ4jDc0tRIuL2Ke6PNehiIhIHiuQxLpYKy9Kvul34SZ3b0m7Wc6b02Q6UG5mxUAZkADS2+ad+uYWDpw0nuJIQbzkiYhIjhTEu0xFrJiOTqc9qXIQyRv9LtwEYGYXmNkygh7ri8LNdwJbgZXA68D33f2Nni6Sq0WdssndaVjZooVhRERk2BVEYj0uGgFQnbXkkz4Xbtq+wf16d98HuAT4Rrj5SKATmALsBVxsZnv3dJFcLeqUTc2btrGxtUMzgoiIyLAriMS6PBZMfqJFYiSP9LdwU3e3AmeF//8Q8Dd373D3NcBjwKhZ0Cnb6pvCgYtTNHBRRESGV0Ek1hVdibXqrCV/9LlwE4CZ7Zd28zTg5fD/rwMnWqCcYLXUF0Yg5pxoWNmCGRw4aXyuQxERkTyX0TzWY516rCXfuHvSzLoWbooAv+lauAlY7O7zgAvN7CSgA9gAfDw8/Hrg/4DnCUpK/s/dnx3xOzFC6ptb2GtC+fbXARERkeFSEO805WGN9RbVWEse6W/hJnf/fC/HbSGYcq8gNDS3cNgeO+U6DBERKQAFUQrS1VPVqh5rkYKysTVB08Y2Zqm+WkRERkBBJNZdNdZaJEaksNz+1wVsit+Or34x16GIiEgBKIhSkDen21NiLVIo4vE4F370P+hIJLh40R0ctscCampqch2WiIjksYLosd4+eDGhGmuRQvH3v/+djkQCPEVHIkFdXV2uQxIRkTxXED3WseIiiotMPdYiBSQy9SAsUox5J9FolNra2lyHJCIiea4gEmszY1w0osRapEC0JzuZt7KCoy74EafvtoETTjhBZSAiIjLsCiKxhmAAo6bbEykMv1/4Gk0b27j5gvdz7H4Tch2OiIgUiIKosYagzrpVKy+K5L2NrQl++vDLHLd/tZJqEREZUQWVWGu6PZH8d/3fl7K5Pcmlpx6Y61BERKTAFFBirRprkXy34o1WfrfwNd53+DRmTK7MdTgiIlJgCiexjhbTqun2RPLa9x94kaIiuPjk/XMdioiIFKCCSawrVAoikteea9zE3c8084lj92JyVVmuwxERkQJUMIn1OJWCiOQtd+fq+UvYpTzKp4/fJ9fhiIhIgSqYxLo8VsxWTbcnkpf+/uIa4svX8/k5+1FZWpLrcEREpEAVTGJdES0m0ZkikUzlOhQRyaJkZ4pr5r/A9F3Hce6Re+Q6HBERKWAFk1iPiwVr4Wgua5H8cueTjby8ZguXnHIg0eKCeUkTEZFRqGDehSpiEQANYBTJI62JJD988CUO32MnTjloUq7DERGRAlcwiXX59h5r1VmL5ItfPfIKaza38/XTZmBmuQ5HREQKXMEl1uqxFskP8x/6B1dddTWHRtdwxJ675DocERERinMdwEgpjwZ3VVPuiYx98XicM087hWRHgvvjtxE/9UBqampyHZaIiBS4AuqxDmqslViLjH1/vf8hkh0J8BQdHQnq6upyHZKIiEjh9FhXxLp6rFVjLTLWdU6cgUWKKfJOotEotbW1uQ5JRESkcBLrcV2lIJpuT2TMe7p9N4656Me8e8IGamtrVQYiIiKjQsEk1hUavCiSF+qbN/HCqs1ccfYpfKxmeq7DERER2a5gaqxLS4ooMmhVKYjImHbXk02URIzTD5mS61BERETeomASazOjPFasHmuRMayjM8XdzzRx0oyJ7FwezXU4IiIib1EwiTUEU+5pVhCRsesfL65l/dYE7zt8Wq5DERER2UFhJdaxiAYvioxhdz7ZyK7lUY4/oDrXoYiIiOygoBLrilixptuTvGFmp5jZi2a21My+2sP+z5jZc2b2jJk9amYz0/YdYmZxM6sP25SObPQDt2FrggUvrObMQ6dSEimoly4RERkjCurdaZxKQSRPmFkEuB44FZgJnJueOIf+6O4Hu/uhwLXAD8Nji4Gbgc+4+yygFugYqdgH655nm+nodN53xNRchyIiItKjgkqsNXhR8siRwFJ3X+7uCeBW4Mz0Bu7eknazHPDw/ycDz7r7v8N269191H+Vc9eTjRw4aTyzplTlOhQREZEeFVRiXRGL0JoY9fmDSCamAivSbjeG297CzC4ws2UEPdYXhZv3B9zM7jezp8zsK71dxMzON7PFZrZ47dq1WQx/YJau2cy/Gzdx9hEatCgiIqNXQSXW42IqBZG8YT1s8x02uF/v7vsAlwDfCDcXA8cCHw7/fa+ZzenpIu5+g7vPdvfZ1dW5GzB455NNRIqMMw9VGYiIiIxeBZVYV6gURPJHI7B72u1pQHMf7W8Fzko79h/uvs7dW4H5wOHDEmUWdKacPz/dSO3+1VSPj+U6HBERkV5llFhnMPvAF82swcyeNbMFZrZn9kMduvJoMe3JFMnOVK5DERmqRcB+ZraXmUWBc4B56Q3MbL+0m6cBL4f/vx84xMzGhQMZjwcaRiDmQXl06TpWt7TzPpWBiIjIKNdvYp3h7ANPA7Pd/RDgToJ6zlGnPBYBYKvqrGWMc/ckcCFBkrwEuN3d683sCjM7I2x2YTid3jPAF4GPh8duIJghZBHwDPCUu/91xO9Ehu56spGqshLmzNgt16GIiIj0qTiDNttnHwAws67ZB7b3cLn739PaPw58JJtBZkt5LLi7W9uTVJWV5DgakaFx9/kEZRzp2y5L+//n+zj2ZoIp90a1lm0d3F+/ivfPnkasOJLrcERERPqUSSlIRrMPpPkEcF9PO3I9w0B6Yi0io9/8Z1fSnkxx9hG7999YREQkxzJJrDOafQDAzD4CzAa+19P+XM8wUKFSEJEx5c4nG9mnupy3TdPc1SIiMvplklhnNPuAmZ0EfB04w93bsxNedo2LqsdaZKx4dd1WFr+2gfcdMQ2znj7fi4iIjC6ZJNaZzD5wGPBLgqR6TfbDzI6KsBREU+6JjH5/eqoRM3jvYZq7WkRExoZ+E+sMZx/4HlAB3GFmz5jZvF5Ol1NdNdatCSXWIqNZKuXc9VQTx+47gclVZbkOR0REJCOZzAqSyewDJ2U5rmHRNd3elnbVWIuMZk+88gZNG9v48rsOyHUoIiIiGSuolRfLVWMtMibc9VQjFbFi3jVrUq5DERERyVhBJdbjohHMlFiLjGYP/+MRfv+LH3FodA1lUc1dLSIiY0dGpSD5wswojxazVaUgIqNS3SOP8q6TTybZkeDO+G1ccOK+1NTU5DosERGRjBRUjzUEvdbqsRYZfZ5t3Mgnv/N7kh0J8BTJjgR1dXW5DktERCRjBdVjDcGUe1s0K4jIqNHRmeKnDy/l+r8vpXT3g4nFoiQ7OohGo9TW1uY6PBERkYwVXGJdHiumVT3WIqPCS6s388Xbn+H5phbee9hULj99Lg0fn01dXR21tbUqAxERkTGl4BLroBRENdYiudSZcn796HK+/8BLVMSK+d+PHM4pB00GoKamRgm1iIiMSQWXWFfEilm5aVuuwxApSPF4nD/Pf4DF7ZNZXjSVuTMncvV7D6Z6fCzXoYmIiAxZwSXW5bFitqrGWmTExeNxak84kUQigUVK+PYNt3HpR4/AzHIdmoiISFYU3Kwg5TFNtyeSCzf9aT6JRDDjR5EnsVUNSqpFRCSvFF6PtabbExlxG7Ym+OeW3SgqLsFSSc34ISIieanwEutYMW0dnXSmnEiRestEhpu78+U7n6V9l3343Z33sKJ+sWb8EBGRvFRwiXVFLLjLrYkk40tLchyNSP777cJXeWjJai57z0w+cuxecMbcXIckIiIyLAquxnpcLAKgOmuREfB80yaumf8Ccw7cjf88ZnquwxERERlWBZdYd/VYb1Gdtciw2tKe5HO3PM0u5VG+9/63aaCiiIjkvYJLrMujxbQ3LeGnP7yWeDy+w/54PM4111wz4H25PFZkNLrsL8/z2vqt/OicQ9mlPJrrcERERIZdwdVYL69/mtW3fp2fdCa5/rprOe2SnzNx30MAWL30Wf763c+SSnZQVFyS8b6ROjYWi/HwggUa9CWj3l1PNvKnp5v4wkn7cfTeu+Y6HBERkRFRcIn1iobFeGcSPEVnsoMlTz1O+y77ArD8qcfp7OgY8L6ROnbbtnau/8PdHH300fpaXUatZWu38M27n+eovXbhcyful+twRERERo675+TniCOO8FxYuHChl5WVeSQS8bKyMl+4cOGQ943UsZGSmE/6yPf8E79d5Ktb2rL9q5EcAxZ7jp6Pmfxk8pxtSyT91B/90w/91v2+cqMeo5K/RvvzVT/60U9ufszdc5LQz5492xcvXpyTa8fjcerq6nqcS3ew+0bi2HcedzxLOifxvQdepKwkwrfOmMWZh05R73WeMLMn3X12ruPoTSbP2cvn1fPbha/ym/Nmc+KBE0coMpGRN9qfryKSGwWZWI91S9ds4ct3/punX9/IyTMnctaUrfx70cJR+WEg28eOxpiGemyX0f5G3ddzNh6Pc+Nt93Df+l347AffzTffM3OEoxMZWaP9+SoiuVFwNdb5YN/dKrjzM+/gV48s59v/dze/+sPXoLODopISTv3KWwc+3nftZ0l17Livv/2j8djRGFPGxyY7KI3FWJCHg0/j8TgnzpnDtm3tFBWXcNz5R+c6JBERkZxQYj1GRYqMTx+/Dy8/0MIPOt8c+PjS00/QOSEYMLbs6SfeMigyfV9/+0fjsaMxpoEcm0gkqKury7vEuq6ujkR7AjyFpZIsfPQRjn/nsbkOS0REZOTlqrg7V4MX881oH3CZzWNHY0xDPTYdAxwMBZwCvAgsBb7aw/7PAM8BzwCPAjO77d8D2AJ8KZPr9facHch9FMkXA32+6kc/+imMH9VY54GxWFesGusdDaRm08wiwEvAXKARWASc6+4NaW0q3b0l/P8ZwGfd/ZS0/XcBKeAJd/9+f9fsr8Y6k/soki9UYy0iPVFiLTJKDDCxrgEud/d3hbcvBXD3a3ppfy7wMXc/Nbx9FnAMsBXYMtTEWqTQKLEWkZ4U3JLmInliKrAi7XZjuO0tzOwCM1sGXAtcFG4rBy4BvtXfRczsfDNbbGaL165dm5XARURE8pUSa5GxqafJy3f4+sndr3f3fQgS6W+Em78FXOfuW/q7iLvf4O6z3X12dXX1kAIWERHJd5oVRGRsagR2T7s9DWjuo/2twC/C/x8FnG1m1wI7ASkz2+buPxuWSEVERAqEEmuRsWkRsJ+Z7QU0AecAH0pvYGb7ufvL4c3TgJcB3P2daW0uJ6ixVlItIiIyREqsRcYgd0+a2YXA/UAE+I2715vZFQTTgM0DLjSzk4AOYAPw8dxFLCIikv+UzdKplgAAIABJREFUWIuMUe4+H5jfbdtlaf//fAbnuDz7kYmIiBQmDV4UEREREcmCnM1jbWZrgdf6aTYBWDcC4QzEaIwJRmdciilzE4Bydx+1U29k8Jwdrb/bTI3l+BX7yNtzND9fRSQ3cpZYZ8LMFo+2CfhHY0wwOuNSTJkbrXENxFi/D2M5fsUuIjI6qBRERERERCQLlFiLiIiIiGTBaE+sb8h1AD0YjTHB6IxLMWVutMY1EGP9Pozl+BW7iMgoMKprrEVERERExorR3mMtIiIiIjImKLEWEREREcmCUZtYm9kpZvaimS01s6/mOh4AM3vVzJ4zs2fMbHEO4/iNma0xs+fTtu1iZg+a2cvhvzuPgpguN7Om8Pf1jJn9f/buO06q8mrg+O/stC3ALgIiTVBABY1ARONaV7BhjOV9LWhiYsqrJjHNmMQUjTExapolpmhi712JjdDWEteoKGIBFQQFEdhFQLZNPe8f984yDDuzM7uzO3fZ8/189sPM3Dv3PjPMnXvm3PM8z3E93KZRIrJARJaIyFsi8j338aK9V1naVNT3qqu8eLzmyivHda68ePznyovfE8YYU0ierLEWER/wLnAUsBp4GThDVd8ucrtWAlNVtaiTGYjIYUAjcLuq7uM+9jvgE1W90g1sBqrqT4rcpkuBRlX9Q0+1I61Nw4BhqvqqiPQHFgInAWdTpPcqS5tOo4jvVVd49XjNlVeO61x58fjPlRe/J4wxppC8mrE+AFimqu+ragS4FzixyG3yDFV9Fvgk7eETgdvc27fhBGvFblNRqerHqvqqe3sLsAQYQRHfqyxt6s3seO1BXjz+c+XF7wljjCkkrwbWI4BVKfdX443gQ4F/i8hCETmn2I1JM1RVPwYneAN2LnJ7ks4XkcXuJeCiXZ4WkTHAFOC/eOS9SmsTeOS96gSvHq+58vJxnStPfKa7oLd+9o0xZhteDaylnce8ULNysKp+FpgBfNu9rGky+xswFpgMfAz8sRiNEJF+wEPA91X102K0IV07bfLEe9VJXj1ec2XHdXH15s++McZsw6uB9WpgVMr9kcCaIrWljaqucf9dDzyCcwncK9a59bvJOt71RW4PqrpOVeOqmgD+QRHeLxEJ4ASwd6nqw+7DRX2v2muTF96rLvDk8Zorjx/XufLc8Z+rXv7ZN8aYbXg1sH4ZGC8iu4lIEJgJzCpmg0Skwu1shohUAEcDb2Z/Vo+aBXzFvf0V4LEitgVoO8EnnUwPv18iIsBNwBJV/VPKoqK9V5naVOz3qos8d7zmqhcc17ny3PGfq17+2TfGmG14clQQAHfIpWsAH3Czql5e5PbsjpPNAvADdxerTSJyD1ADDAbWAb8EHgXuB3YFPgROVdUe6ySUoU01OJd3FVgJnJusA+2hNh0CPAe8ASTch3+GU9NclPcqS5vOoIjvVVd57XjNlZeO61x58fjPlRe/J4wxppA8G1gbY4wxxhjTm3i1FMQYY4wxxphexQJrY4wxxhhjCsACa2OMMcYYYwrAAmtjjDHGGGMKwAJrY4wxxhhjCsAC624kIo3uv2NE5MwCb/tnafdfKNB2bxWRj0Qk5N4fLCIrC7TtGhF5vBDbMqbQ7Hjdbtt2vBpjTJ4ssO4ZY4C8TtQi4utglW1O1Kp6UJ5tyiYOfK2A2yuIHN4TYwphDHa8dpkdr8aYvsgC655xJXCoiCwSkR+IiE9Efi8iL4vIYhE5F9oyRAtE5G6cCUQQkUdFZKGIvCUi57iPXQmUudu7y30smW0Td9tvisgbInJ6yrZrReRBEVkqIne5swC25xrgByLiT30wPYMlIteLyNnu7ZUi8lsRqRORV0TksyIyW0SWi8h5KZsZICKPiMjbIvJ3ESlxn3+0+9xXReQBEemXst1LROR54NSu/CcYkyM7Xrey49UYY/Lg73gVUwAXAReq6vEA7gl3s6ru717C/Y+I/Ntd9wBgH1Vd4d7/mqp+IiJlwMsi8pCqXiQi56vq5Hb29T84s5hNwpnd7GURedZdNgXYG1gD/Ac4GHi+nW186D5+FvCvPF7nKlWtFpGrgVvd7ZcCbwF/T3l9E4EPgKeB/xGRWuAXwJGq2iQiPwEuAC5zn9Oqqofk0Q5jusKOVztejTGmUyywLo6jgX1F5BT3fiUwHogAL6WcpAG+KyInu7dHuettyLLtQ4B7VDUOrBORZ4D9gU/dba8GEJFFOJe82ztRA/wWmAU8kcfrmuX++wbQT1W3AFtEpFVEqtxlL6nq+24b7nHb24pz8v6Pm5QLAnUp270vjzYYU2h2vGLHqzHG5MIC6+IQ4DuqOnubB0VqgKa0+0cC1ara7GaKSnPYdibhlNtxsvz/q+oy92R+WsrDMbYtH0pvS3L7ibR9JVL2pem7cts8R1XPyNCcpgyPG9MT7HhN2RV2vBpjTEZWY90ztgD9U+7PBr4pIgEAEdlDRCraeV4lsNE9Se8FHJiyLJp8fppngdPdutAhwGHAS51s9+XAhSn3PwAmikhIRCqB6Z3Y5gEisptbq3k6TgbuReBgERkHICLlIrJHJ9tsTFfZ8bqVHa/GGJMHC6x7xmIgJiKvi8gPgH8CbwOvisibwA20n416GvCLyGLg1zgntKQbgcXJzlApHnH39zowH/ixqq7tTKNV9S3g1ZT7q4D73e3fBbzWic3W4XQOexNYATyiqvXA2cA97mt9EdirM202pgDseN3KjldjjMmDqKZf6TPGGGOMMcbkyzLWxhhjjDHGFIAF1sYYY4wxxhSABdbGGGOMMcYUgAXWxhhjjDHGFIAF1gYAERkjIpo+LbIxxpvc43VcsdthjOkdRORgEXlPRBpF5KRit6c7ichTIvKVYuzbAmsPE5F+IrJSRM5Meay/iHyYMgucMcYjROQuEbk57bHDRWSDiAwrVrtM7+B+37e4gc9aEblVRPoVYLsdJk5E5FJ3ne+mPf599/FLu9qOfInIISLygohsFpFPROQ/IrJ/T7cjXyJytojE3f/H1L/hRW7aZcD1qtpPVR8tclu6larOUNXbirFvC6w9TFUbgXOAa93JIwB+B7yiqg8Wr2XGmAy+CxwnIkcBiEgp8A/gh6r6cVFbZnqLL6hqP2AyMAX4aQ/u+10gPcv3ZffxHiUiA4DHgT8DOwEjgF+x7SyhPdUWXyeeVucGsKl/a9rZ9nY/djpz5TjHNo4G3srwfHEngvKE3nz13DNvommfqv4beAK4zp0y+TTg2+2tKyIzReSVtMd+ICKz3NufF5HXRORTEVmVLQPhZk6OTLl/qYjcmXL/QDeTsMmdSKMmZdnZIvK+iGwRkRUi8sVOvXhjehlV3QB8B7jRnZ3xl8ByVb01fV33GFqbekIUkZPdSVcQkQNEpM49xj4WketFJNjefkWkVkS+kXL/bBF5PuX+XiIyx836vSMip6UsO05E3naP149E5ML07Zue504UNBsnwAZARCpF5HYRqReRD0TkF8lgSERK3PsfiMh6d71K96nPuv9ucjOn1Rl2+zJQLiJ7u9vcGyhzH28jIseLyCL3s/mCiOybsuwiEVnufp7eFpGTU5adLSLPi8gfRGSje36YkaEte7jvwz2qGlfVFlX9t6omjw+fu50G93zz7dSsfA7nsAfc42+ziDybfM3usltF5G8i8qSINAFHiDOD6R/EuWK8TkT+LiJlGdqeldu2n7jHepOI+DM8NsE9tjeJyFsickK2Nnawz+XA7sC/3M9AyN325SLyH6AZ2F1EhovILPe7YpmI/F/ae/iAiNzp/v++Ic5MtD91P3OrROToDl73T93PxUYRuUWc5AMiUiMiq933YC1wi/t4u58193P2YNr2rxWR69zbbd+J2Y6N5H7baeeR7u0DROQVceKmdSLyp2zvM1hg3Vv8AKgBHgQuzJL5mgXsKSLjUx47E7jbvd2Ek32oAj6PM01z3nVWIjICJ9j/DU4m4ULgIREZIk4wcR0wQ1X7AwcBi/LdhzG9lao+ACwE7sG54nRuhvVexDkmp6U8nHq8xnGO/cFANc6U5N/Ktz3uMTnH3e7OwBnAX1MCiZuAc93jdR+cGSBNkYnISGAGsCzl4T8DlTgB0uE43+dfdZed7f4d4S7vB1zvLjvM/bfKzZzWZdn1He52wcle357Wrs8CN+N8rgfhzEQ6S0RC7irLgUPddv4KuFO2LYP6HPAOzuf6d8BNIiLttONdIC4it4nIDBEZmLb8/4DjcbL6U4F8yyOfAsbjHBOv4sxOmupM4HKgP/A8cBVOsD8ZGIeTQb8kz32mOgPnPFylqrH0xwAB/gX8223jd4C7RGTPLG3MSFXHAh/iXhFR1WTm/yyc76n+wAc431urgeE47+lvRWR6yqa+gPMZGYgzm+tsnFhyBE6pyQ0dvO4vAscAY3Hez1+kLNsFJ6YYDZzTwWftHpyrgwOgLWN/Glu/P1OdTeZjoyPXAteq6gC3zfd3+AxVtb9e8AfMxflFWdnBencCl7i3xwNbgPIM614DXO3eHgMo4HfvrwSOTFn3UuBO9/ZPgDvStjUb50u4AtgE/C9QVuz3zf7srxh/wFCgEfheB+v9BrjZvd0fJ9AenWHd7+NMKZ68r8A493Yt8I2UZWcDz7u3TweeS9vWDcAv3dsf4py4BhT7fevrf+73bqP7va3APJzAC8CHUwYxMWX9c4Fa9/Y84Fspy/YEooA//fs9w74vdc8fu7qfiYD77yj38Uvd9f4G/Drtue8Ah2fY7iLgxJTP5bKUZeVuu3bJ8NwJwK04gV4MJ3k01F02HzgvZd2jcz2HtbOfKve5le79W4HbU5aLe2yOTXmsGliRYXtnu+3dlPK3PO3/+Wvt/N9/LeX+ocBaoCTlsXtS/h+2aWMen6/U96QWuCzl/iicH/T9Ux67Arg15T2ck7LsCzifV597v7/7PlZl2X/q/9lxyfcFJ3kYAUpTlmf9rOH8mPiye/uotPe4Fvc7kezHRg2wOtP7hHO151fA4FzfZ8tY9wIi8iWcL8a5OL+as7kb51cvOL9mH1XVZnc7nxORBeJcRtwMnIeTNcjXaOBU99LMJhHZBBwCDFPVJpwT+XnAxyLyhIjs1Yl9GNNrqeo6oIEM9Ywp7gb+x83A/A/wqqp+AOBeYn3cvVz9KfBbOn+8fi7teP0iTnYInB/BxwEfiMgzkrlMwPSMk9S5elAD7MXW//PBQBAnq5j0AU6mEJwMY/oyP86PvJyp6oc4WfLfAu+p6qq0VUYDP0z7PI1y94+IfDnl0v0mnKsgqZ/btSn7anZvtttBU1WXqOrZqjrS3c5wnIRQ8vWmtu2D9OdnIk4ZyZXilKx8ihNIkdbO1G0PwfkRsDDldT3tPp7Ji6palfI3Nm15+vua/thwYJWqJlIeS/3/zrSNfKXv8xNV3ZJln+tSbrcADaoaT7kPGf4/29nfB+4+k+pVtTXlftbPGtvHO+1lq6Frx8bXcTLrS0XkZRE5vqMnWGDtcSKyM3A1zmWvc4HTROSwLE/5NzBYRCbjfOBSP2h34/ziH6WqlcDfcX6Jt6cJ54skaZeU26twMtapXxoVqnolgKrOVtWjgGHAUpzOW8aYNKr6Ns6X/Ay2PzH8Def4Ga/OZcif0fnj9Zm047Wfqn7TbcPLqnoizuXmR8nlUqfpdqr6DE5W8g/uQw04WbbRKavtCnzk3l7TzrIYTiCkee7+duCHpJWBuFYBl6d9nspV9R4RGY3zfX8+MEhVq4A3yfy5zZmqLsV5P/ZxH/oYJ8hK2jXtKdmOiTOBE4EjcUpWxriPp7Yz9T1rwAka9055zZXqdDLtrPb+T1IfWwOMkm07FKb+f2faRlfasQbYSUT6Z9lnV6X/n6V26Ex/PRk/a+7yB4Aat2zqZDIH1tmOjW0+J25JSdsPJlV9T1XPwPl+vAp40C2vy8gCa++7HifrvECd2uofA/9IqWfbhjq1Wg8Cv8epVZqTsrg/zq/RVhE5AOfLJZNFwEwRCYhIev3ancAXROQY95d/qdsBYKSIDBWRE9wPXhjnMlG8ne0bYxx344wmchjOiSKpP/Ap0Ohe9flmlm0swsl8l4sztvXXU5Y9DuwhIme5x3NARPYXp2NUUES+KCKVqhp192fHq3dcAxwlIpPdrOD9wOXiDLs6GrgA5/sYnDKBH4jIbuIM0fdb4D73nFAPJHDqS3NxH05pRXs/sv4BnOdeARURqRCnY3x/nFJAdfeHiHyVrYFwXsTpcPtDN2hCREbhJItedFe5H/iue94ZCFyUtols57D+OOenDThB1W+ztcXNGv8DuNpNdiEiI0TkmM68thz9Fyfo+7H7GmpwSi/uzfQEcTqHruzsDt2rEy8AV7jn9X1xvkvS68+74tvu/9lOOMmC+7Ksm+2zhqrW45R83IJTlrMkw3ayHRvvAqXudgM4Nd9t8ZWIfElEhrifgU3uw1m/Iy2w9jBxOhYeAvwo+Ziq/hOn3ixbp4m7cX6JP6BbO0WA0/HpMhHZ4j4/W2bqYpxC/Y049UVtvwTdg+9EnIOiHudX5Y9wPk8lOJmONcAnOB1s8u5wZUwfcg/OZf/5qtqQ8viFOD9+t+CcYLKdgK7GqU9cB9xGyonQvax7NDAT57hci5N5SZ48zgJWupfEzwO+1OVXZArCDRxux/k+BqcDWxPwPk596d04nbtw/70DpyZ0BdDqrp8subgc+I97Sf3ADvbboqpzVbWlnWWv4FxBvR7n/LAMp6Y4eQXmj0AdzmfxM8B/OvHSwfncfw74rzijXryIk/3+obv8Hzh9e17H6Xz4cNrzM57DcN7TD3AysW+zNVjP5ic4r/VF91iZi1Orm0m1bD+Odc5jcKtqBDgB52pWA/BXnHripVmeNorOv99JZ+Bk8NcAj+D0xZiT9Rn5uRvnyvr77t9vMq2Y7bOWtr0jyZythuzHxmacGOWfOJ+HJpwYK+lY4C0RacTpyDgzrVxlO+IWZxtjjDHG9EoiMgYnaAqkJZT6DBH5N06H6UyZ26Jys+nfUNW5xW5Ld+q1A3AbY4wxxhiHqmYcQ9r0HCsFMcYYY4wxpgCsFMQYY4wxxpgCsIy1McYYY4wxBVC0GuvBgwfrmDFjirV7Yzxn4cKFDaqabcKBorJj1pit7Hg1pnfpqWO2aIH1mDFjeOWVV4q1e2M8R0Rynjmsg+2U4gwrFMI5xh9U1V+mrRPCGXJqP5yxXE9X1ZXZtmvHrDFbFep47S52vBqzrZ46Zq0UxJgdTxiYpqqTgMnAse2MW/t1YKOqjsMZA/mqHm6jMcYYs8OxwNqYHYw6Gt27AfcvvZfyiTgTiYAzU+d0EenytMPGGGNMX2aBtTE7IHeq+UXAemCOqv43bZURODNm4k6msBkY1M52zhGRV0Tklfr6+u5utjHGGNOrWWBtzA5IVeOqOhkYCRwgIvukrdJednq7sTdV9UZVnaqqU4cM8Ww/LWOMMcYTLLA2ZgemqpuAWuDYtEWrgVEAIuIHKoFPerRxxvQhInKsiLwjIstE5KJ2lodE5D53+X/dKbqTy/YVkToReUtE3nA7KBtjPMgCa2N2MCIyRESq3NtlwJHA0rTVZgFfcW+fAsxXmy3KmG4hIj7gL8AMYCJwhohMTFut3Q7F7g/fO4HzVHVvoAaI9lDTjTF5ssDamB3PMGCBiCwGXsapsX5cRC4TkRPcdW4CBonIMuACYLsMmjGmYA4Alqnq+6oaAe7F6UCcKlOH4qOBxar6OoCqblDVeA+12xiTp6KNY92Ruro6amtrqampobq6utjNMabXUNXFwJR2Hr8k5XYrcGpPtss47LutT2rrLOxaDXwu0zqqGhORZIfiPQAVkdnAEOBeVf1dezsRkXOAcwB23XXXgr4Ar7LjyXiNJwPruro6Dj9iGtFIhLLSEPPmzbMDxpg+akc6cc6tfY4ZxxxNPBahNGTfbX1ILp2FM63jBw4B9geagXkislBV5223suqNwI0AU6dO3eFLu+YseI4Zxx4F8RjBYNCOJ+MJniwFqa2tJRaNgCaIRCLU1tYWu0nGmCKoq6tj2vTpXHzxxUyfPp26urpiN6lTVJUnFn/M2b+9lVg0giYStLSGufORJ4vdNNMz2joLu0YCazKtk9aheDXwjKo2qGoz8CTw2W5vcS9w76yniUejxONxixWMZ3gysK6pqcHvD4KUEAwGqampKXaTjDFFUFtbS2truFefOFd90szXbn2Zb9/9KqP3mUppKITP56PEH+CRtZVcO/c94okdPrnY170MjBeR3UQkCMzE6UCcKlOH4tnAviJS7gbchwNv91C7PW3nPaYgPj8lJT6LFYxneLIUpLq6mnOuvIW7H3uaJ6441y7tGNNHTa0+BPH5UfdSb286cUbjCW5+fgVXz30XnwiXHD+RL1fP4OVTJ1NbW8v+1Yfw+Np+XD33XV5Y3sA1MyczrLKs2M023cCtmT4fJ0j2ATer6lsichnwiqrOwulQfIfbofgTnOAbVd0oIn/CCc4VeFJVnyjKC/EY2WVPhs68nP1DH/PTr59isYLxBE8G1gB7TdqPAev6M/WA9P4dxpi+YtDu+zB05uW0fvgGV50/s9ecOG99ZDa/vekhtgzcgy8cVcOlJ+zN8ConaK6urm57HdNVOWT8EC557E2Ou/Y5fn/KJCo2v9+pmvKOatGzLe9KHXt37re72tWd+81EVZ/EKeNIfSynDsWqeifOkHsmxcqGJkIjJrD/IcdRXZ0+eqExxeHZwDrk9wEQjiUI+DxZsWKM6WbL1jcSGjGB0pETWBPqHaMc/Oqfj/Crb85E4zFCoSBf/db8tqA6nYhwyn4jmbJrFd+5+zXOuuIOGu6/GI1H8+qMVVdXx/Tp0wmHI/gDAS75273ste9+7j7gncULufS8mcSiUfyBAL/6+33sNclZvvT1hfzyvNOJRaOEQvl1AEvfb+p207edbb/ZnhuP5fdeALzwwgtMmz6daKRn92t61sqGJgA2Nduw3sY7Ogys3RmengVC7voPquov09Y5G/g98JH70PWq+s+uNKw04ATTrdE4/UKejf+NMd1o+fpGgr4SDho3iLlL1vHLL0zEGdrXe1SV6+Yt45o7HkXjMdAEsWiU2traDgOzsUP68ci3D+K4rz3E/LSO27kEdfPmL6A1HEYTCSIR5Q+3Pkxl9dbvzc11DxOJJLerXHXLQ1RW+9xlD7Utaw1HWLBgQc6B5NNz59HSGm53u+nbzrbfjp+b+3uhqvzyhgcIh3t2v6ZntUTirNncCsCm5kiRW2PMVrlErGFgmqo2ikgAeF5EnlLVF9PWu09Vzy9Uw1Iz1saYvmnZ+kZ2G1zBsXvvwkXvvMHStVuYMGxAsZu1nXhCuXTWW9zx4gccc9Q0Zr38AJFIJK+68JDfx2++eTqH338D0UgE8fk59LDDO3xeLJ7gtehwKPFTQpxgKMjNPz2b/fb/HOqO6LbwpTK++NIDRKMRAoEg/7zoK3x2f6fM7tWXy/jSSw8QjkSgxMf6fmNzam9jOEbt5iGIz49onGDadlO3nW2/7S1LLj/zv/c7QW6JnwMPPqTDNqkqf/j3O7yZGIE/EETj0U7tN7m8t9X19yUffNLUdnujBdbGQzoMrN1eyY3u3YD71+1d2EMpGWtjTN+0vL6RvYdXMm3CzojA3LfXeS6wDsfi/OC+RTz5xlrOPWx3LppxHC9O36NTNbrV1dU8s2A+V978EC+17sKjayo4KKGUlLSfpY8nlB89uJiFrUP48bV3Ubn5vXb3OXrGNObPn9dum3abMY3h8+exYMEC3tKRPLqmH3vULuNbNeMytrMlEudrt77M6uAo/njLQ7SueqPd/Sa3nW2/md6n3WZMo3bBfP5+7yzmbBzEP94JUF0dpzTgI5M/z1/GXxYs5+yTj+EL3zyIZ555plP7zbbceMOKeiewHj2onE0tVgpivEOcuLmDlUR8wEJgHPAXVf1J2vKzgSuAeuBd4Aequqqd7aTOCrXfBx98kHGfT7+5lvPuXMiT3z2UicO9dSI1pju4kz5MLXY7Mpk6daq+8sorPba/1miciZc8zflHjOOCo/fk5L/+h3hCmXV+x5nLnrKlNco5ty+k7v0N/Py4CfzfYbsXbNvXzH2Xa+a+x5mf25XLT9pnuxKYREL52SNvcO/Lq7jw6D04f9r4Lu8znlAuuH8Rjy1awy8+P4FvHLr962mNxvnGba/wwvIGrp05hS9MGt7l/XbkkddWc8H9r3PY+CHc+OX92q5opvr7M8u58qmlnLLfSH73v/tm/DFSKHa8Ftdfa5fxu6ff4aTJw3n2vQZevfioYjfJeFxPHbM5FS+rahyYLCJVwCMiso+qvpmyyr+Ae1Q1LCLnAbcB09rZTs6zQrXVWMcsY21MX7RyQxMJhbE79wPgyAlD+f3sd1i7uZVdKku7ff8djSrx+Oy5zN80mPry0Vx9+iROnjKyoPv/3vTxRGIJ/lq7nKCvZJv6clXl0n+9xb0vr+I708YVJKgG8JUIfzx1EtF4gt88sYSQv4Szqse0LQ/H4nzzzoX8Z3kDfzhlUo8E1QAnTxlJJJbgJw+9wbfveo2/femz23Rqv/n5FVz51FJOmDScq3ogqDbFt7KhiSH9Q4wcWM6m5giJLFd2jOlJefUKVNVNIlILHAu8mfL4hpTV/gFc1dWGtdVYR63G2pi+aNl6pwJtnBtYHz3RCaznLlnHlw4c3a37/s9/XmD6kVtHlbj4r/ewhzvKxruLF/Lrb51BJBJBfAGuu+OhggfV4IwY8qNj9iQcS3DT8ysI+Uu4aMZeAFz+xBJur/uAcw7bnQuO2qOg+/X7Srh25hQisVe5+LG3CPpLOH3/XYnGE5x/92sseKeeK/7nM/zvfoV/zdmcvv+uRGIJLn7sLb5372tcN3MKfl8Jd774AZc9/jYz9tmFP502CZ8FV33CioYmdhtUQVV5gITClnCMyrJAsZtlTE6jggwBom5QXQYcSVrgLCLDVPVj9+4JwJKuNswy1sab2HoTAAAgAElEQVT0bcvXNyECuw92AutxO/dj9KBy5rzdvYH1yys/4etX3rbNqBJ/vO0RKqudk/bmukfaRo0o0RhbViwGPt8tbRERfvH5CURiCW549n3WvPs6y19/iddiwznnlGP56Yy9umWUlICvhL98cQrn3L6Qix5+g2VvvMq/Zs/lg+AYrvrWKZxxQHGGPjyregzhmJNNb1h+OyVrl/DMliF8/sjDudYNtE3fsKKhmWl7DaGqPAjA5uaoBdbGE3LJWA8DbnPrrEuA+1X18bQZo74rIicAMZwZo87uasMsY21M37asvpERVWWUBZ3vAhHhqAlDub3uAxrDsYIPw7l6YzNXPLWUJxZ/TL+R+xAMBonHogSCQW792dns505WtfClcmae/ADRPEf96CwR4Vcn7M3Kt1/jLz/6BhqP4Q8EOPq8g7p16MGQ38cNZ+3HCRffzMXnno/GYwSCQcZ/62BgTLfttyPfOHR3li5eyJ++fy4aj+HzBzjrnLkE/RZU9xVbWqM0NIbZbXA/qtxgemNzhF0HlRe5ZcbkNirIYmBKO4+nzhj1U+CnhWxYMmMdtoy1MX3SsvWNbWUgSUdOHMo/n1/Bs+/Wc9xnhhVkP82RGH+rXc6Nz76PCHz/yPGce9ixLPry1HZrrEcecwTz5/XsqBElJcIEVkHCGR9b4zGeffYZDj74oG7db2nAx8H91jPX3W8iltu43N1t0KfL2t4LEjFeeP45Dj/UO51aTfda2dAMwG6DyxlYsTWwNsYLPDvzSihgGWtj+qp4Qnm/vpGDxw7a5vGpowdSVR5g7tvrcgqsa597njnzFnDQIYey/+cO3GbZy/99kXsefZpXY8NprhrLiZOH85Nj92p36vF02ZZ1lyOOOILSUCjv8bG76ujp07jqt5f3+H6zqampKcp7Ybzh/Qan/8Vug/u11dRvtiH3jEd4NrAu9VuNtTF91ZpNLYRjie0y1n5fCdP22pn5S9cTiyey1tTO+nctJx1/LBqLIj4/Q2deTmjEBADCHy1h3b0/R+MxSvwB/nnvY3z1f7a7MOcp1dXVzOvhTHkx99vb2mR6TjJjPXpQOU3hGAAbmyxjbbzBs4G1ZayN6bvSRwRJddSEoTz86ke88sFGDtx90HbLwZmN8Od/vReNRUETSCLOof3Wc8JJpwIw67ZneCgRQzWBJGKsfedV4Jhuez2FUoxMeTH3m40X22R6xsoNTYyoKqM04MPvZqxtkhjjFZ4NrNsy1jbzojF9TjKwHjtk+8D6sD2GEPSVMOftdRkD6+vmvUdD/3FtHRCDwSA/+PLJVLujiYzVk3n8tuutlMCYXuj9hibGDHY6Kvp9JfQv9bOp2QJr4w2eDaz9vhJ8JUI4ZhlrY/qaZesbGVQRZGBFcLtlFSE/B40bxNwl6/jF5ydsNzLGC8sb+POCZXzxhKP4328d3G65gJUSGNM7qSor6hu3mZxoYHmQTdZ50XiEZwNrcLLWlrE2pu9ZXt/YNuNie46aOJSfP/Im761vZI+h/dse39AY5gf3LWK3wRX86oS9qQj5PdUB0RjTNRubo3zaGmO3wRVtj1WVB9hoGWvjEZ4e+DMU8FnG2pg+RlVZVr/9UHupjpwwFIA5b6/b5nkXPvA6G5uj/PmMKVQUeJxrY0zxrWhoAkgLrC1jbbzD04G1ZayN6Xs2NEXY1Bxtt746aeiAUiaNrNwmsL7p+RUseKeeX3x+AnsPr+yJphpjetjK9gLrsoB1XjSe4enAurMZ67q6Oq644grq6uq6oVXGmO6UbUSQVEdOGMqiVZtYv6WVN1Zv5qqnl3L0xKGc1Y3TnRtjimtFQxO+EmHUTltnWRxYHrDh9oxnePpaaagTGeu6ujqmTZtOJBohFAwyb948q6M0phdZXp9bYH3U3kP545x3mbVoDXe8+AFD+oX43Sn7dus038aY4lqxoYmRA8sIpIxhX1Ue5NPWGPGEtk0YY0yx7HAZ69raWsKRMIl4nEgkQm1tbfc0zhjTLZatb6Q86GPYgNKs6+05tD8DPn2fH1/8K957YyHXnjGFqvLtRxExxuw4VtQ3bVMGAk7nRbDZF403eDpj3Zka65qaGkp8AeIatfFpjemFlq1vZPchFZR0kHl68cUXWXLTj4lFIwSCQWLfPBjG2NUpY3ZUqsrKDU0csNtO2zw+0P1Bvak5wk7tDNFpTE/a4TLW1dXVHPq966g69Etcc9vDVgZiTC+zfH0j47J0XEyqra1F487MiolY1K5OGbODq98SpjkSZ/ch22asK92MtQ25Z7zA8xnr9Z0YFaR81AQqfSPwDduzG1pljOkuTeEYaza3dlhfDc7VqWAwaLMnGtNHvO+OCDJm0LaBdWrG2phi83RgHQr4iHRiVJBk+cjbaz4tdJOMMd3o/XrnxJlLYG2zJxrTt7Q31B44w+0BNq258QRPB9adHce6NeoE429/bIG1Mb3JsvotAFnHsE5lsyca03esaGgi6CtheFXZNo8nM9YbLWNtPMDjNdYlnRrHOhmML1u/pVMZb2NMcSxb34ivRBiddqnXGGNWNDSx66Dy7YbU61/qp0RsVBDjDZ4OrEv9vk5lrFuicYZVlhKNK++t39INLTPGm0RklIgsEJElIvKWiHyvnXVqRGSziCxy/y4pRlvbs2x9I6MHlRP0e/qryRhTBCs3bD/UHkBJiVBZFrCMtfEET5+9OpOxVlVao3E+O3ogYHXWps+JAT9U1QnAgcC3RWRiO+s9p6qT3b/LeraJmS2vb8ppRBBjTN+SSCgrNzS3G1iDUw5iNdbGCzwdWJf6fcQSSiyee3AdiSdIKOw1tD/lQR9vWWBt+hBV/VhVX3VvbwGWACOK26rcROMJVjY0MTaHjovGmL5lzeYWIrFExsC6sjxggbXxBE8H1qGA07x8stbJjovlIT977dLfOjCaPktExgBTgP+2s7haRF4XkadEZO8s2zhHRF4RkVfq6+u7qaWODzY0E0uoZayNMdtZkWGovaSB5UErBTGe4OnAujTgA8irzjq5bmmghInDB7Bkzaeoare0zxivEpF+wEPA91U1/dflq8BoVZ0E/Bl4NNN2VPVGVZ2qqlOHDBnSfQ3Gqa+G3IbaM6a3EZFjReQdEVkmIhe1szwkIve5y//r/jBGRMaISEtKn4i/93TbvSA51F765DBJVWWWsTbe4OnAOuTvTMbaCazLAj4mDqtkSzjG6o0t3dI+Y7xIRAI4QfVdqvpw+nJV/VRVG93bTwIBERncw83czvJ6J7C2UhCzoxERH/AXYAYwETijnb4PXwc2quo44GrgqpRly1P6RJzXI432mBUNzZQHfezcP9Tu8qryoE0QYzzB04F1ZzLWLW0Zax8Thw8AsDpr02eIiAA3AUtU9U8Z1tnFXQ8ROQDne2BDz7WyfcvXN7LLgFL6hTw9vL4xnXEAsExV31fVCHAvcGLaOicCt7m3HwSmJ49TAysaGhk9qIJMb8nA8gBNkbgNsWuKztOBdWcy1i2RrRnrPYf2p0RsohjTpxwMnAVMS7l0fJyInCciyUzXKcCbIvI6cB0wUz1QL7WsvtHKQMyOagSwKuX+arbvVNy2jqrGgM3AIHfZbiLymog8IyKHZtpJT/aJ6GkrNzSze4aOiwBV5e7siy2WtTbF5enUUKhTNdYJ97kllAV97D6knw25Z/oMVX0eyJrlUtXrget7pkW5UVWWr2/k1Kmjit0UY7pDe8dk+o/ZTOt8DOyqqhtEZD/gURHZu52+E6jqjcCNAFOnTi36j+VCicYTfPhJM8d9ZpeM61S5sy9ubo6yc//SnmqaMdvZ4TLWqTXWABOHDWCJZayN8bS1n7bSFIlbfbXZUa0GUn81jgTWZFpHRPxAJfCJqoZVdQOAqi4ElgN7dHuLPWT1xhbiCWW3wZm/H5IZ643WgdEUmacD666NCuIG1sMH8NGmFuvUYIyHtY0IYkPtmR3Ty8B4EdlNRILATGBW2jqzgK+4t08B5quqisgQt/MjIrI7MB54v4fa7QkrGpzvh90Gl2dcZ6CbsbYh90yxeTqw7lSNdTsZa7A6a2O8LBlYj905cw2lMb2VWzN9PjAbZ9Km+1X1LRG5TEROcFe7CRgkIsuAC4DkkHyHAYvdPhEPAuep6ic9+wqKa0VDM5B5DGuAyjInY73ZMtamyDqssRaRUuBZIOSu/6Cq/jJtnRBwO7AfzugCp6vqyq42rnMZ68Q2z52QDKzXfMpBY4s+opgxph3L1jcyoNTPkH7tD6VlTG/nDm35ZNpjl6TcbgVObed5D+EMn9lnrWxoYkCpn50qghnXGVhhGWvjDblkrMPANHcyicnAsSJyYNo62cbf7LRCZKyH9A+xc/+QZayN8bDl7oggNrqYMSbdioYmdhuceag9gIqgj4BP2NRiGWtTXB0G1upodO8G3L/03sbdMv5mMusc7kyNdXDrS9t7+AAbGcQYD1u2vsmG2jPGtCsZWGcjIlSW2SQxpvhyqrEWEZ+ILALWA3NU9b9pq2QbfzN1O3mNsdnZUUFEIOjb+tImDh/AsvWNhGO5B+jGmJ4xZ8FzLJ9zB7L+3WI3xRjjMa3ROGs2tzCmg8AanElibFpzU2w5BdaqGlfVyThDBB0gIvukrZLLGJ2o6o2qOlVVpw4ZMqTD/XZ2VJCygG+bS0YTh1USSyjvrWvM8kxjTE+rq6vjC8cdw6bn7uTaH36Zurq6YjfJGOMhH37SjCodZqzBGXLPaqxNseU1KoiqbgJqgWPTFrU7/mZXG+cvEUok/xrrZECelJza3MpBjPGW2tpaopEIaIJYNEptbW2xm2SM8ZAVDU1AroF10DLWpug6DKzdMTSr3NtlwJHA0rTV2h1/s6uNExFKA768RwUpSwusR+9UTnnQZx0YjfGYmpoa/IEASAmBYJCamppiN8kY4yHJwDqXUpCqMisFMcWXS8Z6GLBARBbjDHI/R1Ufz3H8zS4L+UvyzliHAtu+rJISYcIw68BojNdUV1dzwdV3UHXol5j15Gyqq6uL3SRjjIesbGhicL8gA0oDHa47sCJopSCm6Docx1pVFwNT2nm8w/E3CyHfjHXYrbFON3HYAB557SMSCaWkxIb0MsYrhu8xicrqMmoOPbjYTTHGeMz7DU1ZJ4ZJVVUeIBxL0NpOSagxPcXTMy9C5zLW7R1QE4cPoDEcY/XGlkI2zxjTRc3ROAGfEPB5/uvIGNPDVuYw1F5SVZlNEmOKz/NnskLUWEPq1OabC9Y2Y0zXtUTav8pkjOnbmsIx1m8J51RfDc5we4DVWZui8nxgnXfGOhKnNLD9y9pzl/6UiI0MYozXNEdilAc7rEozxvQxyY6Lu+cYWFe6gbVlrE0xeT+wzjtj3X4pSGnAx9gh/WxkEGM8pjkSpzxoGWtjzLZWbsh9RBCAgeVOKYhlrE0xeT+wzjNjna3TwkSb2twYz3GuMllgbYzZ1op6N7DOo/MiWGBtisvzgbVTY51f58VM9ZoThw1gzeZWNjbZZSJjvKIlahlrY8z2VmxoYlhlKWU5fj8kM9ZWCmKKyfOBtZOxzq/zYns11rB1BsYlWcpB6urquOKKK2xqZWN6SHMknvOJ0xjTd6zMY6g9cBJxpYESNrdYxtoUj+d7DJUGfIRzzFiraocZa4C3P/6Ug8YN3m75HY/9m6+eegKJeJTSUIh58+bZhBXGdLOWSJyhA0LFboYxxmNWNDQx4zPD8npOVVnQrkqbotqhMtbJWuzSDNmvQf1C7DKgdLs66482tfD9e1/ju3+6i3gsiiYSRCIRamtru9R2Y0zHmqM2KogxZlubmiNsbI6yWx4Za3DqrDdZxtoUkecD63xqrJOjh5T6M19Wnjh8QNvIIFtao/zu6aVM+0MtT725ljNPOpbS0hBICZT4qamp6XL7jTHZtVgpiDEmTXKovVxHBEmqKg+wyWqsTRF5Pk2UT8Y6GYBnO0lPHDaA2fOf5dTzHueNxAhadxrHSZOH86Nj92JEVRlfOnAMv7/1Yeqah6JDxhfkNRhjMmuOxCm3UUGMMSmSQ+3lOuti0sDyIO+tb+yOJhmTE88H1qUBH9G4Ek8ovhLJum5LMmOdofMigNS/y8f3/IwH4zF8/gA33z+LL580pW15dXU1d089gCP+UMtVs9/h0bGDEMm+X2NM57T1i7CMtTEmxYr6JkoEdt2pPK/nORlrKwUxxeP5UpCQ32liLlnrZClItumRP13xOiRioAlIxPhoycLt1ikN+Pj+keN5fdUm/v32uk623BjTkXAsgWr2q0zGmL5nxYZmRg4sJ+jPL0ypKg+yqTmCqnZTy4zJzvOBdXLiiFzqrJMZ61CWwPrYI6dTGgrh8/kIBoMZ66j/97Mj2X1IBb+f/Q7xhB2gxnSH5ohzzFopiDEm1cqGprzrqwEGlgeIJZSmSO7D9BpTSJ4PrAudsa6urmbevHn8+te/zjqcnt9Xwo+O3pNl6xt5+NXVnWi5MaYjzZEYgI0KYoxpo6q89drLfFR7d95zSlSVuZPE2JB7pkg8fzbLJ2PdNipIB9mv6urqnManPnafXdh3ZCXXzH2PEyYPJ5RltBFjTP5a3KySlYIYY5KemvcsK++4iJWJGNMfvDGvOSWS05pvbokyqjsbaUwGO1jG2h0VpECXlUWEHx+zFx9tauGuFz8syDaN2RF1dsbStlIQC6yNMa7Zc+eh8Vin5pSosmnNTZHtUBnrZPYr26gg+Tpk/GAOHjeI6xcs47T9R9Ev5Pm3zJgeVVdXxxHTphMOhykNhZg/P/fsUksO5VvGmL5l3KTPIT4/JRrP2heqPQPdjPVGGxnEFEmvyVgnyzyyaY11z0n6x8fsxSdNEf753PsF3a4xO4La2lqikQhogkg0v+ySlYIYY9INGfsZhs68nB/97JK8ykAAKpOlIJaxNkXi/cDaDZKT05VnkzxJZxsVpDMmjapixj678M/nVrChMVzQbRtTSCIySkQWiMgSEXlLRL7XzjoiIteJyDIRWSwin+3KPmtqaggGgyAlBAKBvLJLW0tB7EqQMcZRvyVMaMQELr3k53kF1ZDSedEy1qZIvB9Y55Ox7sbLyj88eg8+WfEGM799UcY60s7WmRpTQDHgh6o6ATgQ+LaITExbZwYw3v07B/hbV3ZYXV3N7Q/9i6pDv8Sv/n5fXifCraOCWMbaGOOobwxTWRbo1IABQX8J/UJ+myTGFI3n00SleWSsW6MJfCVCwFf4mRLrl79J/X2/YG40yvx7/sbkc/5I5Zi925ZvXvkWi278IRqPEggEmT1nDjWHHlLwdhiTjap+DHzs3t4iIkuAEcDbKaudCNyuzgwKL4pIlYgMc5/bKYcdcjCVz7Yycq998npeW421BdbGGFf9ljBD+oc6/fzKsgCbrBTEFMkOlbFuicYp9Zd0yxTktbW1aNyZsVHjMYINS9l7RGXbX7BhKRqPtvViPv3Sm7jwgdd5/r0Gm2DGFIWIjAGmAP9NWzQCWJVyf7X7WHvbOEdEXhGRV+rr6zPuK5lxbg7nNymDjQpijEnX0BhmSL/OB9YDKwJsarGMtSmOHSxjHe+2zFeyjjQSiRAMBvnT986kunpK2/K6MWcyfdZNRCIR/IEAR047gtlvruXBhasZ0j/E5OB6/OuXcPAhhzFpvwO22/7rC19i2eKXOObIaXnXlBmTTkT6AQ8B31fVT9MXt/OUdn/9qeqNwI0AU6dOzfgLMVkj3eSWduQqGViX2hjxZgcnIscC1wI+4J+qemXa8hBwO7AfsAE4XVVXpizfFefK06Wq+oeeancx1G8Js+/Iqk4/v6osaMPtmaLxfGAdcofOC+eYse6uSVySMzbW1tZSU1OzXfDb3vLWaJz5S9dzwwNPcdOl30TjMW645ncMnXk5oRET2p4b/mgJ6+79ORqPcflvfs0fb3mI806bQdDv+QsKxoNEJIATVN+lqg+3s8pq2GbuhJHAmq7s01cilAV8NIXzC6xbo3FKAyWUlBT+KpMxXiEiPuAvwFE4x9/LIjJLVVNLtL4ObFTVcSIyE7gKOD1l+dXAUz3V5mLqailIVXmANZtaCtgiY3Ln+cA6mcnKJWMdjia6tVazoxkb05eXBnwc95lhvP74Op7QOHFNIBrnuMEbOePLU9vWu+cfL3BrIo5qglg0yi9vuJ+blwX4/GeGcdKUEUQ+Wsqzzz7TbkBvTCpx6qBuApao6p8yrDYLOF9E7gU+B2zuSn11UkXIR1Mk31KQmI0IYvqCA4Blqvo+gHvsncj2fR8udW8/CFwvIqKqKiInAe8DTT3X5OJoCsdoisS7HFhbxtoUi+fPaAGfIJJHjXUBJ4cplPQykm+cdjzVE4e2La847XjuueHqtuWXnXca7zGEh15dzc0Pz2b9fb9A41FCwfwm3zB90sHAWcAbIrLIfexnwK4Aqvp34EngOGAZ0Ax8tRA7Lg/6885YN0fiNjmM6Qva69fwuUzrqGpMRDYDg0SkBfgJTrb7wmw7EZFzcEb6Yddddy1My3tYgzuk7eCu1FiXB9ncEiWRULsaZnqc5wNrEaHU78u9xtqDJ+nOlJGA88v93Auf4a5YFDRBazjMVy6/hQt+tDMnTBrO8KqyYrwc42Gq+jzt11CnrqPAtwu974qQn6Y8Oy+2ROLWcdH0Bbn0a8i0zq+Aq1W1saOO+bn2ifCy+i1OYN21jHWQhMKW1ljbhDHG9JQOA2sRGYXToWIXIAHcqKrXpq1TAzwGrHAfelhVLytUI0OBkpwz1l6dcjzfMhJwApVvn3kiD990HZFIBJ8/wC577seVTy3lqqeXcsCYnThpyggGN33AKy8+b6Uipqgqgr62calz1WyBtekbcunXkFxntYj4gUrgE5zM9iki8jugCkiISKuqXt/9ze55yYx1V0YFqSpLTmsescDa9LhcotDkhBOvikh/YKGIzEnrdAHwnKoeX/gmOnXW4Whu41gP7rdjnaTby2avbGhi1utreHTRR1zw5/tZd+/PIRGjNBTKe/pXYwqlPOTPexrhlki8beQfY3ZgLwPjRWQ34CNgJnBm2jqzgK8AdcApwHz36tKhyRVE5FKgcUcNqqEwGeuBFU4wbUPumWLosCBZVT9W1Vfd21uA5IQTPSYUKKE1ltvMizviSbq6upqf/vSnbQHzmMEVfHf6eOZdcDinjdgCiRiaSNASDvPQ47MLtl+bSdLko18nOi+2RC1jbXZ8qhoDzgdm45xD71fVt0TkMhE5wV3tJpya6mXABcBFxWltcdVvCVMisFNFsNPbqGyb1tw6MJqel1fdRJYJJwCqReR1nMtbF6rqW+08v1MdK3LPWMcp82Dnxe4iIsw88Vj+cd3vCUciqPi5/6MBTKpbyZcOHN2liXLq6uqYPn064UiEUDBomXDTofKgn+a8Oy/GKA+Wd1OLjPEOVX0Sp+Nw6mOXpNxuBU7tYBuXdkvjPKS+McxOFSF8Xeh0ONAt/9hs05qbIsg5Cu1gwolXgdGqOgn4M/Boe9tQ1RtVdaqqTh0yZEjOjcw1Y92yg2ass0mWivzm17/mX089Tc1hh3DxY2/x9dteaatV64xbHnyCltYwiXiclnCYK29+iI9sXFCTRUXQR2OegXVLpPsmdTLG9D5dHcManM6LYBlrUxw5Zaw7mnAiNdBW1SdF5K8iMlhVGwrRyPwy1n3vJJ3a8XFGQrmtbiVXPLWUY695lrPHRdiyYnHOHRtbo3Guenop/1pfRYk/APEY+Py81LoLB185nwN224mTJo/guM/swpLXF2Yc6aSuri7jso5ke25H2+3Kczvbpu7cb29SEfLTHImjqjlfLWm2UhBjTIpCBNaVZQFEYKNlrE0R5DIqSIcTTojILsA6dyD7A3Ay4RsK1chQoKTDTFgiobRGE4T6YGCdqqRE+OrBu3HQ2MF85co7+O6vfgCJGKFgiHnz5nLQQQdlfO7StZ/yvXsW8c66LZx76gxqzjmQuuefo6amhuF77MusRU6HyZ898gY//usDrL335yRiUXz+AKdf8g9G7DkJgI/eeZ37Lvs/4rH8x95++Kn5zDz588SikazbTV/W0fLUZcFgkHlz53HwwZnfi1Rzap/j+GOPJtpOm/LZ747eubQi5CeWUCLxRM4zoDZbxtoYk6KhMcK4nft3aRu+EmFAaSDvztTGFEIuGetcJpw4BfimiMSAFmCm25u5IEJ+Hxsasx8gyXGu+2LGuj177tKfzw/eyEtux8bWcJizfnML3/vhEE6cPJzRgyra1k0klFtfWMmVTy9lQGmAW766P0fsuTMANYce0rbed6aP5/xp43hrzaf84Gdz+SjqjK8di0Z55tlaRshwAD56tpZYdOvY21+/4lYu/PEuHD9pGDv3L92urfVbwjy+eA2PLVrDM/ffRjQS6XC76cs6Wp66LByOcMZlN/HN7w3kxMkjmDCs/3YZ1tZonNp31vPoa2t48OabiGRoUz77jUQi1NbW7rCBdTLz3BSO5xRYxxNKJJawY9YYA4CqFiRjDcnZFy1jbXpeh4F1jhNOXA902/A/udRYJ8e57kudFzty5PRpXPHby9vGwB7zmf3505x3+dOcd5myaxUnThpOaONyfnfLw6wt353jph/OVafsm3XGKxFhnxGVXHbeafzngRvaZou8/9JvtAWMdUeUM/25e4hEIpT4A1TuPpnLHn+b3zzxNgePG8yJk0dQtnEZ9zz6NBsGjOddhhFPKBOGDeCc04/nupcfINrBdtOXdbQ8dZnPH2DS/gdx0/MruOHZ9xm/cz9OmjKC4eFVzJ47jy0D92BxdChbWmMM7hfipOOO4s4X7ycW7dp+g8EgNTU1hf5v9owKdwz5pnAspx79Le4xa6UgxhiAT1tiROKJAgXWQRtuzxSFN2dTSZNLjXXyJN3XOi9m094Y2Gs2tThjYL/2ET/9+0Osu/fnaDxGMBjk69+cl/M0stlmk2xv2XvrtvCYW0rynWvubdtviT/AeVfdwvfOPASUhkIAACAASURBVJ49hjqX/06aMjLn7XalTZ80RXjijY957LWP+M3Nj7a1SXwBTvvlDXzra8dx0NhB+H0lfP2Q3Qu23x1VRdD5OmnOcci95GQyZcFe8TVkjOlm9Y2tAAzu1/mh9pKqygJ5d17sK/1hTPfqFWe0UKCEcK4Za8t+bSN9RsfhVWWcd/hYzjt8LBf8bD7XJGKgCeKxKM8880zWGuyOtp1t2fih/bnwmD354dF78J2fLOCv7n4lEWNk68q2oDrf7XalTTtVBDnrwNGcdeBofrJmDr9321SiMSb51nDYHkMyPrcr+91RVYScYy/XkUFa3AC83H4MG2OA9QWYHCZpYHmAFQ1NOa9fV1fHtGnTaQ2HKSvdsfvDmO7VK+om8slY59ppysCpXziG0lAIn8/XY2UKIsIXTz6ux/fbkZOOO9pzbeptkqUguU5rnsxsWymIMQa2zrq4c4FKQfLJWNfW1hKOhJ1+OG5/GGM6o9dkrDuusXY7L9pJOmfFKlPwYnmEF9vU26R2XsxFMrC2Y9YYA86IIABD+m3fyT1fVeUBtrTGiMUT+H0d5xBramoo8QeIR6P4/QFLrphO6xWBdanfRzSuxBOacTamZClIqb9XJOE9o1hlCl4sj/Bim3qTfimdF3ORLAWxUUGMMeBkrIO+EgaUdT00GehOErO5JcqgHPoOHXjggYw/+3esXbqQ/zv9eDsXmE7rFYF1yB3pIxyLU56ho5PVWBtTXOXB/EpBto4K0iu+howx3Sw51F6uE0xlU+VOa76xObfAes3mVloGjqWyeiwVo8Z0ef+m7+oV6d1kFjpbnbWNCmJMcSU7LzblPSqIHbPGGKhvDBdkRBDYOq355pbc6qwXfbgJAH+JsP7TcEHaYPqmXhFYJ2dTzFZn3VZjbYG1MUVRFvAhkn8piHVeNMZAYaYzT6oqczPWTbmNZb1o1UaC/hImj6pi3aetBWmD6Zt6RWBdGsg9Yx2yCWKMKQoRoSLoz7vzogXWxhgobGCdrLHOdZKYRas2sc/wAYwcWMZaC6xNF/SKKDQ5hF62jHU4ah2hjCm28qAv94y19YswxrjiCeWTpjBDcpykrCOVbo31phyG3IvGEyxevZnJowYydEAp6z8No6oFaYfpe3pFYJ1TxjpiNdbGFFu/kJ+mnMexjlEiEMxhKCxjzI7tk6YICS3M5DAAA0r9+Eokp7Gs31m7hXAsweRdq9h5QCmReIJNzTYduumcXnFGa8tYR7PUWMfi+EuEgJ2kjSma8pAvjynNnVF+CjECgDGmd0tODjO4QBlrEaGqLJBTgPzaKqfj4pRRVewywBlDe90WKwcxndMrotC2jHUsW8Y6YWUgxhRZedCf85TmrdG4lYEYYwBnRBAoXMYanHKQXALrRR9uYnC/ICMHljF0gLP/tZstsDad0ysC61wz1iELrI0pqn4hf15TmlvHRWMMbM1YFzKwHlgeZFMOw+0tWrWRyaOqEBGGuhlrG3LPdFavCKxzyVi3RuKUBXvFyzFmh1Ue9NGcx6ggdpXJGAOFLwUBZ8i9jobb29wSZXl9E5NHVQFbA3sbcs90Vq+IRHPJWLdE45T67SRtTDH1C+VeCtJiGWtjjKuhMUxF0EdFqHAzsVaVB9ncwXB7i1c79dWTRw0EnAEQBpYHrMbadFrvCKxzyVhbvaYxRVce9OfReTFmx6wxBijsGNZJVeWBDkcFee3DTYjAvqMq2x4bOqCUdVYKYjqpdwTWlrE2pleoCPloisRyGgPWKQUpXHbKGNN71W8JF7QMBGBgeYDmSJxwljkwFq3axNgh/RhQGmh7bOcBpVYKYjqtVwTWOdVYRxOUWvbLmKKqCPlR3Tr5SzatUSsFMcY46hu7I2PtzL64OcPIIKrKolWbmOLWVycN7R+ywNp0Wq8IrIO+EkS2zq7YntZonFJ/r3g5xuywKtxAOZdpzW1UEGNMUneVggBszBBYr/qkhU+aIkzeNS2wHlBK/ZYw8YTNvmjy1ysiUREh5C+xGmtjPK486JR25DLkXkvEjlljDIRjcTa3RAs2nXnSQDdjnWla89dWbQRoGxHk/9u78/i47vre/6/PzGhGi7V4lR3LiQOJnc3ZMAEVaBQcIEBLSoE26W2BljYNhbbQ21sIlJQLpIF7fwXK8qCsl0AhgaQsKaQNxImyihAneInjOJhgLDmxLVuWrH227++POUceSyPNSJqRzpHez8dDD0szZ0bfUfKd+ZzP+Xw/X19zYzVZB8cGVGct0xeKwBpyddaqsRYJNn9Ff7HOIM45hlQKIiLAsYFc4FvujHVjzdQZ6+2dvdRURdnYXH/K7c3eOA6pHERmIDSBdXVVsYx1VtkvkXlWl8jNwWKdQZKZLJmsUx9rEanI5jAAS+u8GutJNonZ3tnLprWNxKKnhkL+JjHqDCIzEZrAupSMtd+WT2QxM7OvmdkRM3tykvvbzKzPzLZ7XzeW63f7pSCDRTLWw17gXRNXVxCRxa4Sm8NAboMYKJyxHk1n2H3wxIT6asgPrJWxlukLzafaVBnrbNaRTGeV/RLJ+TrwOeAbUxzzoHPud8r9i5ck/MB66oy13zVEpSAi0j1QmYx1bTxKPBop2Mt6z/P9JDPZCfXVACuWxIkYHFFgLTMQmhTvVBnrEa9HZbUCaxGccw8APfPxu/1AebDI4kW/VESBtSwWZnaVme01s31m9v4C9yfM7Dve/Y+a2Xrv9svyri7tMLM3zvXYK83PWC9fEi/r85oZTbVVBdvtbT9QeOEiQCwaYcWShEpBZEZCE1hPlbEeSeVuV8ZapGSt3of0f5nZ+ZMdZGbXmdk2M9vW3d1d9En9xYtDpZaCaM7KImBmUeDzwGuB84Brzey8cYe9AzjunDsL+BTwCe/2J4HNzrmLgauAL5pZaK42l6K7f5Sm2qqxzeDKabLdF7d39tLckGBNY3XBxzU3VGvxosxIaALrqTLW/mVlfUiLlOQJ4Azn3EXAZ4EfTHagc+5LzrnNzrnNK1euLPrE/uLFwSKLF09mrBdUfCAymcuAfc65Z51zSeA24Opxx1wN3OJ9fwewxczMOTfknPPPVKuBBddc+ejAaNlb7fmaauP0FspYd/Zy8bomzKzg45obtEmMzEzRwNrM1pnZfWa2x8x2m9nfFjjGzOwz3iWsnWZ2abkHOnXGOvchrcWLIsU550445wa87+8CqsxsRTmeOx6NEItY0cWLfp9rdfKRRWIt0Jn3c5d3W8FjvEC6D1gOYGYvMbPdwC7g+rxA+xTTvcIUFJXYztzXVFM1IbA+Pphk/7EhLl63dNLHrWqo5ki/SkFk+kqJRNPA/3TOnQu8FHhXgUtYrwXO9r6uA75Q1lFSJGOty8oiJTOz1ealaczsMnLvA8fK9NzUxqOldwXRnJXFoVBadHzmedJjnHOPOufOB14M3GBmBesXpnuFKSgqsZ25b2ltnN5x7fa2d/UCheurfasbqukZTDKaLr6LrEi+ooG1c+5559wT3vf9wB4mnmlfDXzD5fwMaDKzNeUcaGKKjPWoFi+KjDGzW4EOYKOZdZnZO8zsejO73jvkzcCTZrYD+AxwjXOubJeXlyRi0ygF0ZyVRaELWJf3cwvw3GTHeDXUjYxbhOyc2wMMAhdUbKTzoBLbmftyNdYp8t/ifnGgl4jBhS2Nkz6uuSE3niNawCjTNK0CR2+V8iXAo+Pumuwy1/PjHn8duYw2p59++rQGmstYFw6sh5Pe4kV9SIvgnLu2yP2fI9eOryJqE7GiW5qr3Z4sMo8BZ5vZmcBB4Brgj8YdcyfwNnInxW8G7nXOOe8xnc65tJmdAWwE9s/ZyCtscDTNUDJTwcA6TjKdZTiVGVvTsb2zlw3N9WOLrQtZ5fWyPtI/wrpltRUZmyxMJRclm9kS4D+A9zjnToy/u8BDJmTAZnOZKldjPfXiRW1pLjL/6hIxBor1sR7bIEZzVhY+ryb63cDd5K76ftc5t9vMPmJmb/AO+yqw3Mz2AX8H+C35Xg7sMLPtwPeBv3LOHZ3bV1A5Y7suVqjGemltbpMYv87aOccOb+HiVJrrtfuizExJGWszqyIXVH/LOfe9AoeUcplrVhKxKKOTZKz92uuauBYvisy3uni0aLs9dQWRxcZbKHzXuNtuzPt+BHhLgcd9E/hmxQc4T45WaHMYX1Otv/tiktOaavj10UH6hlNcUmDHxXyrG7X7osxMKV1BjNyZ9B7n3CcnOexO4K1ed5CXAn3OuecnOXZGqqsiJDNZstmJpaB+xroSPTBFZHpq4yXUWKfSxGMRopHCra5EZHGo1Hbmvqba3KYz/iYx2zv9hYuTdwSBXKa7KmrKWMu0lZIuehnwJ8Au71IUwAeA0wGcc/9G7iz8dcA+YAj403IP1A+aR9PZCZePR1O6rCwSFEsSpXUFUUcQEanUdua+kxnrk4F1XTzKWauWTPk4M2NVfbUy1jJtRQNr59xDFK6hzj/GAe8q16AKqfZ6VI+mMxMC6LEaa31Qi8y7UhYvDiUzWrgoInT3jxIxWFZX3u3MfUu9jLXfcm97Zy8XtjSVdLVMm8TITISmKNnPWBfqDOLfVh0LzcsRWbDq4lEGiy1eTE08QRaRxae7f5TlSxIVKwtrrDm5eHEkleGp505wcZH6al9zgzLWMn2hiUTzM9bjDacyVEWNWDQ0L0dkwapLxBhOZcgUWA/hG1bGWkSo7HbmkLuSXVMV5fhgkt3P9ZHOuqIdQXzNDdXqYy3TFppIdOqMdUZlICIBUed1+piqHGQomaa2Sh1BRBa7Sm4O41taW0XvcIpfHMgtXLxkGoF1/2i66JoRkXyhCaynylgrsBYJjtpEbi4OTdEZZDipUhARyQXWleoI4musjdM7lGR7Zy9rm2rGNn8pxt99UeUgMh2hCayL1Virw4BIMCzxdjMbmCLLM6SuICKLnnOO7oE5ylgPpdhewsYw+ZobtEmMTF9oAuspa6z1IS0SGP6mL0NTLGBUVxAR6RtOkcq4igfWTbVVPHt0kK7jwzMKrI/0K2MtpQtNYD1lxjqdGQu8RWR+1XkB8+AUNdYj6goisuiNbWde8cA6Ts9grt1eqR1BQKUgMjOhiUaLZaxVYy0SDHVeKchUC36UsRaRsc1hKlxj3eS13ItGjAtOayz5cUsSMWrjUQ71qRRESheawHrqjHVWgbVIQNQl/Ix14VKQbNZ5fazVFURkMTuZsa7M5jA+f5OYc1bXT+tKmZnlelmrFESmITSB9ZRdQVRjLRIYJ2usC2esR7w5rIy1yOI2FlgvKa1Lx0wd2beTvo7vsmLoN9N+bHNDgiMqBZFpCE1grRprkXCoK9IVxG/Dp5NhkcWte2CUeDRCQ03lrl51dHTw0XddS++D/85tH/4LOjo6pvX43O6LKgWR0oUmGk0U6wqi7JdIIPiLFyfrYz3sB9aasyKLmr85jFlltjMHaG9vJ51KgcuSSadob2+f1uObG6o5dGIE5ybfSVYkX3gC61huqIUy1sOpzFhGW0TmVywaIRGLTNoVxA+4VQoisnB0dHRw8803Tysj3N0/yooKdwRpa2sjHo8TjUaJx+O0tbVN6/Gr6hMk01n6hlOVGaAsOKFZPWRmJGKRghnr0VRW2S+RAKlLxCbtCjKcUmAtspA88sgjtL1yC5l0ikQ8ztatW2ltbS36uKMDSdY21VR0bK2trWzdupX29nba2tpKGle+/E1immoru8hSFobQBNaQy1qPjstYZ7KOZCZLtTLWIoFRG49OukHMkJfJrqkK1duPiEziR3dvJZVMgsuSTCZpb28vKYDt7h/l4nWlt7+bqdbW1mkH1L7VjX5gPcLG1fXlHJYsUKEpBQGoropOyFiPpPx6zVC9FJEFbUkiNunixWGVgogsKC+86DIsGgOLlFxukck6egZHK97Deraa608G1iKlCFXKKFEVmVBj7V9WVh9rkeCojUcnXbw4pMWLIgtK0xnn03zNTYwc2MW//cOflJQdPjY4StZVftfF2Vql3RdlmkIVWFfHJs9YK7AWCY66EjLWarcnsjB0Hh8isfZcEmvPpa/+zJIeM1fbmc9WdVWUxpoqtdyTkoWqfqJQxnqsFEQf0iKBUReffPGiX2OtUhCRheFAzxBrGqvZ2FxP+97ukh4TlsAaYHVDtTLWUrJQBdaFM9a5QFsZa5HgqE1EGZxk8eKwN2drtaW5yILQ1TPMuqW1tJ2zksf290x6tSrf0YEkUPldF8thVUOCw/3KWEtpQhVYT1VjrYy1SHDUxWNjmenxhpNpzNBuqSILROfxIVqW1dC2YRWpjOPhfUeLPsbPWK+oD34Lu+aGag73KWMtpQnVJ9vUNdaheikiC1quj/XkixdrqqIV3W1NRObGaDrDoRMjnL6sls3rl7IkESupHKS7f5S6eDQUV66aGxJ0D4ySyWr3RSkuVNFowYx1UosXRYKmLh4lmcmSTE/cKXUoldEVJpEF4uDxYZyDdUtrqYpGePlZK2jfe6ToFuDdA6OhqK+GXMY6k3UcG1Q5iBQXqsC6YMY6rRprkaCpTeSyUMMFWu4NJzNqtSeyQBzoGQLg9OW1ALRtXMnzfSM8c3hgysd194+EKrAGODLPnUFmsm28zL3gX4PJU7AriHriigTOkkRuPg4k0zTWVp1y31AyrY4gIgtE5/FhIJexBrh840oA2vcemXKnwu7+0dDsZHhyW/MRLlhb+Z0iC+no6GDLli2MJpPT2jZe5l6oMtaJWJTR1PiMtVcKEgvVSxFZ0Py6yaEC3QGGU1lqQlBXKSLFdfYMEY9FWOVln9c01nDO6uJt944OJFkR8F0Xfc3eJjGH5rHlXnt7OyOjo2QzmbFt4yWYQhWNJqoiY6UfvmFlrEUCZ4lXCjJYsBQkTa1Kt0QWhM6eIVqW1hCJnFyM3LZxFY/t76F/JFXwMaPpDH3DqcBvZ+5bsSSBGfO6SUxbWxuRaBVYhKqq0raNl/kRqsC6OhYlmc6esihirI91TB/UIgBm9jUzO2JmT05yv5nZZ8xsn5ntNLNLyz0Gv9Sj0CYxQ8mMSkFEFogDPUOcvqz2lNvaNq4knXU8vO9YwceM9bAOSY11VTTCiiUJjsxjxvolL3kp6/74Zppe8cd85Iu3qQwkwEIVWCe8lnqjeVnr4VSGeCxyytmyyCL3deCqKe5/LXC293Ud8IVyD6DOz1gXKgVJZqhWYC2LjJldZWZ7vRPa9xe4P2Fm3/Huf9TM1nu3v8rMHjezXd6/r5zrsU+ls2dorL7a96IzllKfiHH/M0cKPiZMuy76mhsS87r74rNHB3GrNtDY+gdEVm+ct3FIcUUD6xKyX21m1mdm272vG8s/zBw/Kz2at4BxJJVRfbVIHufcA0DPFIdcDXzD5fwMaDKzNeUcgx9YDxUoBRlKZlQKIouKmUWBz5M7qT0PuNbMzht32DuA4865s4BPAZ/wbj8K/K5zbhPwNuCbczPq4vqGUpwYSbNuWc0pt1dFI7z87BXc93R3wbZ7oQys66s5NI+lIE8e7ANye3bsPdQ/b+OQ4kqJSL/O1NkvgAedcxd7Xx+Z/bAK8zPWI3kt90ZSat0lMk1rgc68n7u82yYws+vMbJuZbevuLr7pg6/Om5OFtjZWVxBZhC4D9jnnnnXOJYHbyJ3g5rsauMX7/g5gi5mZc+4XzrnnvNt3A9VmFoiItPO412pvXCkI5MpBDp0YYe/hiUFgGAPrVQ3V81oKsutgH4lYhMs3rCz4N5XgKBpYl5D9mjOFMtbDqYx6WItMT6G6qYK7OTjnvuSc2+yc27xy5cqSf0HtWMa6UFeQjLqCyGJTysns2DHOuTTQBywfd8ybgF845wqmTmd6IjxTnV4P65alEwPryzesAijYHeToQG74y+vCE1g3NyQ4NpgsuOnVXNh1sI/zTmvg/NMaOdAzVPC9VYKhXDUUrWa2w8z+y8zOn+yg2U76STPWCqxFpqMLWJf3cwvw3CTHzohf6jF+W/NUJksq45SxlsWmlJPZKY/xPls/AfzlZL9kpifCMzV+c5h8qxurOXdNA/c9PbHOurt/lKbaKuIhKuNc7fWy7h6Y+3KQbNbx1HMn2LS2kQ3N9TgHvyyyAY/Mn3L8X/0EcIZz7iLgs8APJjtwtpPez1iP5PWyHk5llbEWmZ47gbd63UFeCvQ5554v5y+IRIzaeHTC4sVhb+4qsJZFppST2bFjzCwGNOJdLTazFuD7wFudc7+q+GhL1Hl8iMaaKhqqqwre37ZxJY//5viEtnvd/aOhabXny98kZq79+tggA6NpLljbOLapjspBgmvWgbVz7oRzbsD7/i6gysxWzHpkBRTqCjKSylBdFZ6zXpFKM7NbgQ5go5l1mdk7zOx6M7veO+Qu4FlgH/Bl4K8qMY7aeGxCH2u/77xOhmWReQw428zONLM4cA25E9x8d5JbnAjwZuBe55wzsybgx8ANzrmH52zEJTjQM1ywvtrXtsFvu3f0lNu7B0ZDVV8NsMrbJOZw39wH1v7CxU1rGzl9Wa0WMAbcrAsdzWw1cNh7A7iMXLBeuHnlLPkfxvkZ65FUhuV18Ur8OpFQcs5dW+R+B7yr0uNYkpiYsfa7hChjLYuJcy5tZu8G7gaiwNecc7vN7CPANufcncBXgW+a2T5ymeprvIe/GzgL+JCZfci77dXOucK97OZQV88Q56yZfFvyS89YSn11jPa93Vx1wcnGQ939o1xyetNcDLFs5jNjvbMrt3Dx7FVLiEaMs1fV84wy1oFVNLD2sl9twAoz6wL+CagCcM79G7kz63eaWRoYBq5xhfrrlEHCq8ea0G5P2S+RwKmNxyYssPF/VmAti413RfeucbfdmPf9CPCWAo/7GPCxig9wmrJZR9fxYV51fvOkx1RFI7zi7BW078213TPLlZGHsRRkWW2cqqhxuH/ua6x3Hezj3DUNxKK5GGjj6noeeKbyi1NlZooG1iVkvz4HfK5sI5rCWMY6nV9jrcWLIkFUl4hOWLzol4KoK4hIuB3uHyGZyU7YHGa8tg2ruGvXIZ4+1M+5axoYHE0znMqwImSlIJGIsaq+es4z1v7Cxd+/9GQTmY3N9dzxeBfHB5Ms1RX7wAlVcXLhjHWWhAJrkcCpS8QYTGrxoshC1NkzDMC6KWqsAS7fmGtU4LfdG+thHbKMNeTqrOc6sM5fuOjboAWMgRaqwLpQxnokqYy1SBDVxWOT1lhrzoqE21irvSKBdXNDNeetaeC+vbmScL9dXdgWL0Ju98XDc7z7Yv7CRd85fmCtBYyBFKrAumDGOq2uICJBVBuPTtjS/GQpiAJrkTDr7BnCDE5rqi56rN9278RIKpS7LvpWN859KciuvIWLvlX1CRprqpSxDqhQRaTjM9Zpb7MJZb9EgqcuEZuwpbm6gogsDJ09Q6xpqCYRKz6X2zauIpN1PPzLo6EOrFc1JOgfSc/profjFy4CmBkbV9fzjDLWgRSqwDoePTVjPeL1s1ZXEJHgqUvkMtb5TYLGuoJUafGiSJh1Hh+ipUgZiO/S05uor45x394jdPePEo0YS2vDt+iuud5vuTc35SDZrGO3t+PieBub69l7uJ8KNWGTWQhVYB2JGPFYZCxjPbbZhLJfIoFTl4iRybpTNnRSKYjIwnCgZ6hofbUvFo3w22ev5P5nuunuH2VZXZxopNAO7sE2172s/YWLhQLrDavr6R9J8/w8bFgjUwtVYA25OuuxjLXXYaA6FrqXIbLg1Xkt9fIXMA6nMsS8E2QRCaeRVIbDJ0aLttrLd/nGlRw+McpD+46GsiMIQLO/++IcBdb+wsULCgTWWsAYXKH7dKuuijLqZaz9wFrZL5Hg8euo8xcwDiUzmq8iIdd1PNdq7/TlNSU/pm1Dru3ewd7hUNZXAzQ35jLWR+aoFGRs4WLzkgn3bVillntBFbrAOj9j7ffE1eJFkeBZkvAy1nkLfYbVHlMk9DqP51rtTSdjvaqhmvNPawDCuXARoD4Ro6YqOmcZa3/hYlV0YqjWWFvFmsbqUC5gbH/wIT520z/T0dEx30OpiNAF1tVV0bEa65GUFi+KBFVtYmIpyFAqo44gIiHX5fWwLrY5zHhtG1cyenAPT951SyiDKjOjuSHBoTkIrKdauOjb0FzP0yELrDs6Orhyy5XceOOH2LJlSyj/PygmdIF1oYy1AmuR4KnzAuj8bc2Hk2ltZy4Scgd6hkjEItOulV42+BsO3/ZBfvKNfw1tULWqoXpOSkH2T7Fw0bdxdT37ugdIZ7KTHhM092y9l0w6hctmSSaTtLe3z/eQyi50gfWpGWs/sA7dyxBZ8Oq8jHV+z9ehpDLWImHX2TNMy9IaItPs7HH46cchmw51ULW6oZrD/ZXPWO+aYuGib2NzPcl0lv3Hhio+nnJZd/5mLBoDi1AVj9PW1jbfQyq70EWkhbqCqGZTJHj8riAD+RlrlYKIhN50Wu3lu+KKK6hOJIhGo8RDGlQ1NyQ4fGKk4v2jd3X1EZ9k4aJvo9cZ5JkwLWBctYHma26i6RV/zMe/cjutra3zPaKyC9012eqqKCdGUkB+xlof1CJBU5vwu4KcungxrK22RAScc3T2DLF5/dJpP7a1tZWtW7fS3t5OW1tbKIOq5oZqRlJZTgynaaytqtjvmWrhou+sVUuIWK7l3us2ranYWMppe2cvazZcRG/LuWRWnDXfw6mI0AXWp9RYJ5WxFgmqsa4go6e221PGWiS8+oZT9I+mZ5SxhlxwHcaA2rfK3ySmf6RigbW/cPGNl6yd8rjqqijrl9eFqpf1jq4+Np+xlN8cG2KnV+6y0ISuFOSUGmttaS4SWIlYhIiN6wqiPtYiodbZk+th3TKNVnsLSXN95TeJKWXhom9Dc31oSkF6h5L8+uggF5/exKaWRp482Lcgt2QPXWBdKGOd0C5uIoFjZtTFY+P6WKepqQrdhTIR8fg9rGeasQ671Y3+tuaV6wxSysJF38bV9ew/NjhWGhtkVJN8xgAAHTFJREFUO7tyr+viliYubGnk6EByQW7JHrqItLoqOvY/0Eg6k8uKTXNlsojMjbpEbCxj7ZxTH2uRkDsw1sO69F0XF5JV9X5gXbmA8MmDxRcu+jaurifrYN+RgYqNp1y2d/ZiBhe0NI5l4/1geyEJXWCdiEUY9UpARnRZWSTQahNRBr0rS6PpLM6hOSsSYp09QzTVVlFfXbmFe0FWE4/SUB2raGBdysJFn98ZJAx11js6e3nhyiU0VFdx7poGohFj18He+R5W2YUvsK6Keh/QjpFUluqYPqRFgqouHmPIy1j7pVvKWIuE10xb7S0kzQ3VFQuss1nH7oMn2LS2oaTjz1hWSzwWYW/A66ydc+zo6uXidU1ArvpgQ3O9MtZB4NdTj6azDKeUsRYJsrpEdKwryFBKgbVI2HUdH2bdIl246FvdWF2xGuv9xwbpL3HhIkAsGuGslUsCn7HuOj7M0YEkF3mBNcCFaxfmAsbQBdZ+B5DRVJaRVEYLF0UCLH/x4rD3r7r4iIRTJuvoOj7EukWesV5VX82RCmWs/YWLm9Y2FTnypHNW1wc+sN7RlSv5uLjl5Ova1NLI8aEUXceH52tYFRG6qPRkxjqjjLVIwNUlYgx5JSBDY6Ug6goiEkaHT4yQyrhFu3DRN3LwKfbe/U0efviRsj/3dBYu+jasrufQiRH6hlJlH0+57OjsJR6LjNWEA1zYksvK71pg/axDF1j72a6RVJbRVFabw4gEWF0iyoBXYz2kGmuRUPM7gizmGuuOjg6+csOf0fPAN2l75St5z2e+yw+3H2RHZy99w6kJx9588810dHSU/PzTWbjo29jsLWAMcJ31js4+LjitgXhelcHG1fVURW3B1VmHLnU0PmO9slrbI4sEVW2BxYu6yiQSTp1+q71FXGPd3t5OOp0ClyWdSnHLf/yYHzxXN3b/sro465fXEu/Zx/c+dj2ZVIpEIs7WrVuL7jjpL1y8+pLTpjWmsc4gh/u57Mxl039RFZbOZNl1sI9rLlt3yu2JWJSNq+t5coFlrEMXWOdnrIdTGWWsRQKsLhFjKJUhm3UMa/GiSKh1Hh/GDE5rWrylIG1tbSTicZLJJPF4nO9/7C84bcNF/ProIPuPDrL/2CD7jw7x8IMPkEomwWUZTSZpb28vGlj/pmdoWgsXfWsaq6mvjvFMQOusnzk8wHAqM9YRJN+mtU38eOdzOOcwWxh7koQusM7PWI+kMiSqQlfNIrJo1MWjOAfDqczJUhDtvCgSSp09Q5zWWHPK5fzFprW1la1bt9Le3k5bW9tYsLyhuf6U4zo2ObY8eCsjo0mcRVl+1sVFn3s6Oy7mMzM2Ngd3AePYwsUCgfWFLY3c+vMDHOgZ4ozldRPuD6PQfcLlZ6xHlLEWCbTaRO4tZjCZPtkVJL54P5RFwqyzZ4iWpYs3W+1rbW0tmn32A/D/vmcrd3Uv4/NPRbmye4AXrJx8UeKurtwCv/FBeik2rK7nxzufD2Tmd/uBXppqqwrW5ufvwLhQAuuin3Bm9jUzO2JmT05yv5nZZ8xsn5ntNLNLyz/Mk07NWGfVukskwJYkcvNzaDSjriAiIafNYaantbWV//2hf+R7H3470Yjx57dsm7Jzx66DfZy7un5aCxd9G5vr6RtOVay/9mzs6OrlopamggH/huZ64tHIgqqzLuW/3teBq6a4/7XA2d7XdcAXZj+syanGWmRqZnaVme31TnbfX+D+t5tZt5lt977+vFJj8YPogdH0WGCtOSsSPiOpDEf6Rxd9D+uZWLesli/+yYvoOj7MO7/1OKlMdsIxYzsutkyvDMSXv4AxSAZH0zxzuP+UjWHyxWMRzl2zsHZgLBpYO+ceAHqmOORq4Bsu52dAk5mtKdcAx/Mz1oOjaTJZR7VqrEXGmFkU+Dy5E97zgGvN7LwCh37HOXex9/WVSo2nzgush5K5Lj6JWIRoJFiXKUXmQgknvAkz+453/6Nmtt67fbmZ3WdmA2b2ubket6/ruFrtzcaL1y/j5t/fxCO/OsY/3bl7wm6DM1246PNb7gVtAeOug31kHVwySWANuY1injzYRza7MHZgLEdUuhbozPu5y7ttAjO7zsy2mdm27u7uGf0yP2PdO5w85WcRAeAyYJ9z7lnnXBK4jdzJ77yo80pBcjXWGXUEkUWpxBPedwDHnXNnAZ8CPuHdPgJ8CPj7ORpuQZ09ud3xFvvmMLPxphe18M62F/LtRw/w/x7ef8p9M1246FtaF2dVfYKnAxZY7+jMLVy8cIpM/IVrm+gfTbP/2OBcDauiyhFYF0o/FTztcM59yTm32Tm3eeXKlTP6ZX7GuterU1JgLXKKUk903+StibjDzNYVuB+Y/clwnb940SsFUX21LFKlnPBeDdzifX8HsMXMzDk36Jx7iFyAPW/8zWFUCjI7/+vVG3nN+c187MdPcd/eI2O3+zsuzmThom/j6nqeCVgpyI6uXtYtq2H5ksn3HPFPJhbKDozlCKy7gPwP5hbguTI8b0EnM9a5wFr1miKnKOVE9z+B9c65C4F7OPlhPvGBszwZ9jPUQ6MZhlNplW7JYlXKCe/YMc65NNAHLJ/OL5nOifB3fnwPN9z4kZJ3BezsGaK6KsLKKQIkKS4SMT71hxdz7poG/vrbvxhrkbera+YLF30bmnOBdSZAJRU7Ovu4qGXyMhCAs5uXkIhF2LVA6qzL8Sl3J/BWrzvIS4E+59zzZXjegvyMdZ8y1iKFFD3Rdc4dc875S8e/DLyoUoNZktduTxlrWcRKOeEt+ervZEo9Eb6n/UGu/b3f4RM3/W+2bNlSUnDdeXyIlqW1gWvlFka18RhfedtmauNR3nHLY3T3j/Lkc30zLgPxbVxdz2g6O3Z1Yb4d6R/hYO9wwf7V+aqiEc47rYGdiyVjbWa3Ah3ARjPrMrN3mNn1Zna9d8hdwLPAPnIf0n9VsdGSO9uLRyNjNdY16okrku8x4GwzO9PM4sA15E5+x4xbXPwGYE+lBuMH0n4piLYzl0WqlCu7Y8eYWQxoZOrGATP2WMdDkE3hslmS3q6AxRzoGdbCxTJa01jDl9+6me7+UV73wa/Sdd+3SfTsm9Vz+gsYg7JRzI7OXKBcLLAGuHBtI7sP9gUq2z5TRdNHzrlri9zvgHeVbUQlSMQiJ2usY/qgFvE559Jm9m7gbiAKfM05t9vMPgJsc87dCfyNmb0BSJP74H57pcYTj0WIRyMMJjMMJzMsXxKv1K8SCbKxE17gILkT3j8ad8ydwNvIJbLeDNzrxreOKJO2tjaqEwmGR0YhEuPyyy+f8njnHF09Q1y2fmklhrNoXbSuib/YmOIf/uy9uEyam39+O686b2vRzWcmc3bzEsxygfVVF6wu82inb0dnL9GIcf5pxTPxm1qauKXjN/z66ABnrZp5nXkQhPK6bKIqejKwVgZM5BTOubvIXUnKv+3GvO9vAG6Yq/HUJqJexjrNurg6CsjiU+IJ71eBb5rZPnInvNf4jzez/UADEDez3wNe7Zx7aqbj8XcF/Ndv/oD7+1dyfMmZUx7fO5SifzSthYsVkOraDdk0uCypVO7qwUwD69p4jNOX1QZmAeP2zl7OWV1f0pXKTXkLGBVYz4NELEKfFi+KhEJdPMbgaG6n1JqqUL7liMxaCSe8I8BbJnns+nKPp7W1lcte8lJe/5kH+fh/7+HK81aRmOQKcOdxdQSpFP/qQTKZJB6P09bWNqvn29Bcz9OHTpRncLOQzTp2dPXyuxedVtLxL1xZR01VlJ1dfbzxkpYKj66yQlmgXF0VYWA07X2vwFokyOoSUYaSuYy11kSIBEc0Ynzw9efS2TPMLY/sn/Q4fzGcaqzLz7968NGPfpStW2deBuI7Z3U9+48NMZLKlGmEM/PrY4P0j6S5uEhHEF8sGuH80xoWRGeQUKaP8s+qlbEWCbbaeGxsS3N1BREJllecvZIrNq7ks/fu480vWseyuonrIE5uDqPAuhJaW1tnHVD7NjTXk8k6nu0e5LzTGsrynDPhbwwz2VbmhWxqaeS2n3eSybpQ79AbyvRRfi9c9cUVCba6RJT+kTSj6axOhEUC6AOvO5ehZIZ/veeZgvd3Hh9iWV18rH2mBNc5q73OIIfntxxke2cvdfEoZ61aUvJjLmxpZDiV4VfdAxUcWeWFMirNz1irFEQk2OriMY4N5tpma0tzkeA5u7meay9bx78/eoB9RyYGNZ09Q6xbqoXHYbB+RR1VUWPvofkNTnd09rKppXFamWd/AePOkJeDhDKw9rPUZic3jBGRYKpLxDjan+s7r8BaJJjec+UGaqqifPy/Jra17+wZokVlIKFQFY2wfHA/t3/1MyXvqlluo+kMTz1/YlplIABnrlhCXTzKrq7eCo1sboQyKvUz1tWxqHaBEgm42niUYW8hTY1qrEUCacWSBO+64izu2XOER/YdHbs9k3Uc7NXmMGHR0dHB41/4O5743hdpu+KVPPjQw3M+hqeeO0Eq47hkmoF1NGKcv7Yx9DswhjKw9jPWqq8WCb78ukzVWIsE15++bD1rm2r42I/3jO2Ad+jECKmMY91SBdZh0N7eTjaT64udTCZ5601f57vbOkllsnM2hpksXPRduLaRp547QXoOx1tuoYxM/Yy1PqRFgi+/E4hKQUSCq7oqyvteew5PPX+C7z3RBcCBY2q1FyZtbW0k4nGi0SiJRJzTzr2Uf7hjJ1d+8n5u39Y5JwHrjq4+VtUnWN1QPe3HbmppZDSd5ZcFav3DIpSB9cmMtT6kRYKuLpHXHlOBtUig/e6Fa7h4XRP/9+69DCXTeZvDaPFiGOT3xb7v3nt56F+u58tv3cySRIz/dcdOtnzyfu54vKuiAfaOzl4uWtc0o1LdsR0YQ7yAMZQFjwkvoFZgLRJ8dQllrEXCwsz40O+cy5u+0MGXHniWTNYRMTitSYF1WIzvi/2q85q58txV/PSpw3z6nl/y97fv4LP3/pJXrzgBz+3mla+8omx9tPuGUjx7dJA3vWhmuyeuX15HfSLGzoO9/MGL15VlTHMtlIF1dUw11iJhkR9MK7AWCb4XnbGM129awxfvf5aL1zWxprGGqqg+b8PMzHj1+at51XnN/OSpw/zTl7/Phz7wHlwmTdVH49z+w7u4+jVXzPr37PA6elw8g/pqgEjEuGBtY6gz1qGcKX7GWpeVRYKvLq/GWl1BRMLhfVedQybraH/wIQYevX3eWrdJeZkZrzl/NW9YdRzLZsBlSSWTvP3mr/PHX3mUH24/OKvt0P2Fi5taGmf8HBe2NLLnUD/JdDgXMIYzsPYy1lq8KBJ8deoKIhI6py+v5ZXLejl82wfZdeeX2LJli4LrBeSKK64gkcgtcqyuTvC23389+48N8re3befFN93DP/5gFzu7enHOTet5t3f28sKVdTRUV814bBesbSSZzvLM4f4ZP8d8CmX6yM9YJ/QhLRJ4+YsXVQoiEh7Ng7/C5bVua29vL1strswvf5Fje3s7bW1ttLa2ks06fvbsMb67rZPbt3Xx7z87wMbmei6tPkL08B5e/5orp/zv75xjR1cvl29YNauxXehlu3cd7OOCtTPPfM+XUGasq5WxFgkNP2OtnVJFwuWqV22hpjpBNBolHo/T1tY230OSMmptbeWGG24YC5YjEeO3zlrBp6+5hJ9/8EpueuMFDHXt4RN/8z+46SMf5uWXX8Hfffa77H6ur2Am+2DvMEcHkly8bnbB8OnLammojoV2a/NQZ6y1eFEk+Pwa69oq7ZQqEiaFspqyODTWVPE/XnIGB+7t4RGXwbks2UyK/3fHj/newTpWN1RzxTmr2HLOKl521gpq4lG2z2JjmHxmxoUtTTwZ0h0YQxlYK2MtEh61CX+xcSjfbkQWtfGt22Rx8TecSSaTxONxvvWhP2Ow6QXc+/QR7tx+kFt/foB4LMJvvXA5XU9vZ+Dnj9D7+iZoedmsfu+mlka+8uCzjKYzY5sChkUoP+nUx1okPMYy1qqvFhEJlcmuWrxl8zqS6SyP7e9h654jfP/ue9nxxf+Jy6S56jXfZevWrbM6Idu0tpFUxrH3UD8XtswuAz7XQhlYn+xjrQ9qkaCLRozqqoiuMImIhNBkVy3isQgvO2sFLztrBVVP/pCdXslIORa6blrbyOjBPXzspvt571vfGKqrJqEsUlbGWiRc6uIx9Z0XEVmg/JKRci107Xx6O4dv+0du/+K/8Iq2K/jrT9/Gj3Y+x74jA2Sy02sBONfCmbGuijB6cA8/+fYDnBf9vVCdyYgsRplDe/n1L3bTcWlE81VEZIEp90LX+++/H8umcS5LJpXiWz/4b/7zUD2Q6y61obmec1bXc86aBjLPP03nU4/zuldvCcTni023+Xe5bN682W3btm1Gj/3RT9t5w+teg2UzJBLxWdfyiASBmT3unNs83+OYzEznbEdHB6+4/AqymRTViYTmqywIC3W+igRBR0cHW7ZsGVs0edfdP2HFCzbx9KF+nn7+BHsP97Pn+X4O7t3O4ds+CNl00c+XuZqzocxY79rWgbkM2WxGTetFAq69vR2yaVxWm0yIiEhxk2XAx28Y848f7uDmbIZsgD5fQhlYj2//oqb1IsHV1tZGXPNVRESmoZRWj69/zZV88v/cHKjPl1AG1mpaLxIemq8iIlIJQfx8CWVgDWpaLxImmq8iIlIJQft8CWW7PRERERGRoCkpsDazq8xsr5ntM7P3F7j/7WbWbWbbva8/L/9QRURERESCq2gpiJlFgc8DrwK6gMfM7E7n3FPjDv2Oc+7dFRijiIiIiEjglZKxvgzY55x71jmXBG4Drq7ssEREREREwqWUwHot0Jn3c5d323hvMrOdZnaHma0r9ERmdp2ZbTOzbd3d3TMYroiIiIhIMJUSWFuB28Zv1/ifwHrn3IXAPcAthZ7IOfcl59xm59zmlStXTm+kIiIiIiIBVkpg3QXkZ6BbgOfyD3DOHXPOjXo/fhl4UXmGJyIiIiISDubc+OTzuAPMYsAzwBbgIPAY8EfOud15x6xxzj3vff9G4H3OuZcWed5u4DdFxrcCOFrsRcyxII4Jgjkujal0K4A651xgL+WUMGeD/LcN2rg0ptIFcVwLYb5CMP+2M7EQXsdCeA0Q7NdxxlzM2aJdQZxzaTN7N3A3EAW+5pzbbWYfAbY55+4E/sbM3gCkgR7g7SU8b9EXZ2bbnHObix03l4I4JgjmuDSm0nnjWj/f45hKsTkb8L9toMalMZUuiONaCPMVgvm3nYmF8DoWwmuAhfM6ZqOknRedc3cBd4277ca8728Abijv0EREREREwkM7L4qIiIiIlEHQA+svzfcACgjimCCY49KYShfUcU1HUF9DEMelMZUuiOMK4phmQq8jOBbCa4CF8zpmrOjiRRERERERKS7oGWsRERERkVBQYC0iIiIiUgaBDazN7Coz22tm+8zs/fM9HgAz229mu8xsu5ltm8dxfM3MjpjZk3m3LTOzn5rZL71/lwZgTB82s4Pe32u7mb1ujse0zszuM7M9ZrbbzP7Wu33e/lZTjGle/1azpfk65Tg0X0sbk+brHAnifJ2JoMzx6Qrie8JMBPF9JAgCWWNtZlFym9K8itzOj48B1zrnnprnce0HNjvn5rX5uZn9NjAAfMM5d4F32/8BepxzH/feKJc65943z2P6MDDgnPv/5moc48a0BljjnHvCzOqBx4HfI9dnfV7+VlOM6Q+Yx7/VbGi+Fh2H5mtpY9J8nQNBna8zEZQ5Pl1BfE+YiSC+jwRBUDPWlwH7nHPPOueSwG3A1fM8psBwzj1AbiOefFcDt3jf30LuzX++xzSvnHPPO+ee8L7vB/YAa5nHv9UUYwozzdcpaL6WRvN1zmi+zrMgvifMRBDfR4IgqIH1WqAz7+cugvFm5oCfmNnjZnbdfA9mnGZ/W3nv31XzPB7fu81sp3fJaN4ubZnZeuAS4FEC8rcaNyYIyN9qBjRfpy8Q/w8WEIj/BzVfKyqo83UmgjzHpysQ/5+XSVjnRlkENbC2ArcFoWblZc65S4HXAu/yLoPI5L4AvBC4GHge+Jf5GISZLQH+A3iPc+7EfIxhvAJjCsTfaoY0XxeGQPw/qPlacUGdrzOhOR48YZ4bZRHUwLoLWJf3cwvw3DyNZYxz7jnv3yPA98ldUguKw149oF8XeGSex4Nz7rBzLuOcywJfZh7+XmZWRe4D8VvOue95N8/r36rQmILwt5oFzdfp03wtQPN1TgRyvs5EwOf4dAXuPWEmQj43yiKogfVjwNlmdqaZxYFrgDvnc0BmVuctXsHM6oBXA09O/ag5dSfwNu/7twE/nMexAGNvDr43Msd/LzMz4KvAHufcJ/Pumre/1WRjmu+/1Sxpvk6f5uvE36/5OjcCN19nIgRzfLoC954wEyGfG2URyK4gAF6Llk8DUeBrzrmb5nk8LyB3RgwQA749X2Mys1uBNmAFcBj4J+AHwHeB04EDwFucc3O2qGCSMbWRuxzkgP3AX/o1ZHM0ppcDDwK7gKx38wfI1UjOy99qijFdyzz+rWZL83XKsWi+ljYmzdc5ErT5OhNBmuPTFcT3hJkI4vtIEAQ2sBYRERERCZOgloKIiIiIiISKAmsRERERkTJQYC0iIiIiUgYKrEVEREREykCBtYiIiIhIGSiwriAzG/D+XW9mf1Tm5/7AuJ8fKdPzft3MDppZwvt5hZntL9Nzt5nZj8rxXCLlpvk64bk1XyXQNGcnPLfmbAAosJ4b64FpTXozixY55JRJ75z7rWmOaSoZ4M/K+HxlUcLfRKQc1qP5OmuarzKH1qM5O2uas+WhwHpufBx4hZltN7P3mlnUzP6vmT1mZjvN7C9h7GzzPjP7NrkNCTCzH5jZ42a228yu8277OFDjPd+3vNv8M3fznvtJM9tlZn+Y99ztZnaHmT1tZt/ydhUr5NPAe80sln/j+LNhM/ucmb3d+36/mf2zmXWY2TYzu9TM7jazX5nZ9XlP02Bm3zezp8zs38ws4j3+1d5jnzCz281sSd7z3mhmDwFvmc1/BJESab6epPkqYaA5e5Lm7HxzzumrQl/AgPdvG/CjvNuvA/7R+z4BbAPO9I4bBM7MO3aZ928Nua1Bl+c/d4Hf9Sbgp+R21Gomt4PTGu+5+4AWcidUHcDLC4z568Cbga8Bf0puR6X9k7yOzwFv977fD7zT+/5TwE6gHlgJHMl7/AjwAm98P/V+1wrgAaDOO+59wI15z/sP8/3fUl8L/0vzVfNVX+H60pzVnA3i1ylnSzJnXg1caGZv9n5uBM4GksDPnXO/zjv2b8zsjd7367zjjk3x3C8HbnXOZYDDZnY/8GLghPfcXQBmtp3c5bOHJnmefwbuBH48jdd1p/fvLmCJc64f6DezETNr8u77uXPuWW8Mt3rjHQHOAx72TvDj5N6UfN+ZxhhEyk3zFc1XCRXNWTRn54sC6/lhwF875+4+5UazNnJn0/k/Xwm0OueGzKwdqC7huSczmvd9hin++zvn9nlvDH+Qd3OaU8uHxo/Ff/7suN+Vzftdbvyv8sb8U+fctZMMZ3CS20XmguZr3q9C81WCT3M271ehOTunVGM9N/rJXbLx3Q2808yqAMxsg5nVFXhcI3Dcm/DnAC/Nuy/lP36cB4A/9GrMVgK/Dfx8huO+Cfj7vJ9/A5xnZgkzawS2zOA5LzOzM726rz8kdzb/M+BlZnYWgJnVmtmGGY5ZZLY0X0/SfJUw0Jw9SXN2nimwnhs7gbSZ7TCz9wJfAZ4CnjCzJ4EvUvjM9r+BmJntBD5KbnL4vgTs9BdW5Pm+9/t2APeSq506NJNBO+d2A0/k/dwJfNd7/m8Bv5jB03aQW2jyJPBr4PvOuW7g7cCt3mv9GXDOTMYsUgaarydpvkoYaM6epDk7z8wrXhcRERERkVlQxlpEREREpAwUWIuIiIiIlIECaxERERGRMlBgLSIiIiJSBgqsRURERETKQIG1iIiIiEgZKLAWERERESmD/x8v+gaMAXuNYgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_BO_metrics(Y_samples, Y_grid, Y_estimates):\n", + " \n", + " min_regret = calc_min_regret(Y_samples,Y_grid.max())\n", + " rmse = calc_rmse(Y_estimates, Y_grid)\n", + " rmse_ = calc_function_convergence_using_RMSE(Y_estimates)\n", + "\n", + " plt.figure(figsize = (12,10))\n", + " plt.subplot(2,3,1)\n", + " plt.plot(range(0,len(Y_samples)),min_regret)\n", + " plt.plot(range(0,len(Y_samples)),min_regret,'k.')\n", + " plt.title('Minimum Regret')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,2)\n", + " plt.plot(range(0, len(rmse)), rmse)\n", + " plt.plot(range(0, len(rmse)), rmse,'k.')\n", + " plt.title('Root Mean Square Error, from True')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + " plt.subplot(2,3,4)\n", + " plt.plot(range(0,len(Y_samples)),X_samples)\n", + " plt.plot(range(0,len(Y_samples)),X_samples,'k.')\n", + " plt.title('X values')\n", + " plt.xlabel('Iteration Number')\n", + "\n", + " plt.subplot(2,3,5)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples)\n", + " plt.plot(range(0,len(Y_samples)),Y_samples,'k.')\n", + " plt.title('Y values')\n", + " plt.xlabel('Iteration Number')\n", + " \n", + " plt.subplot(2,3,6)\n", + " plt.plot(range(0, len(rmse_)), rmse_)\n", + " plt.plot(range(0, len(rmse_)), rmse_,'k.')\n", + " plt.title('Root Mean Square Error, from previous')\n", + " plt.xlabel('Iteration Number') \n", + " \n", + "plot_BO_metrics(Y_samples, Y_grid, Y_estimates)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8ScTCX0b7c3R" + }, + "source": [ + "Now let's try exploring instead of exploiting. We're going to select the point with the maximum variance." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4620, + "status": "ok", + "timestamp": 1615738016798, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "UsxpFnbt7dub", + "outputId": "531dbc17-42e7-4b0d-ba62-21c3d005cac1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4833942331.583338\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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DrZLjvMdluhiX5aIo00W+zzli45jTgT8coyMZ2NsDUTqCUToCUdqDkR2ODthV8XiM+g1fsmHlYtCaQ5NN3Uvf/yfTDzxsm9EF/YlFI9Q1NNMeivHUD88k3NUOgMWTRfEl92L1ZkM0xPj8bPJ9Tlq/WES2U1NeMoGS8ilDOqxvV/TU2HN9DvK9zt7+dgnsm0kAF2KE3HPPPcw96gQ2BGxsagsOOInozz+9gk2Nzcy58Gc0xH0Eo3F8Tht7j89gxrhMcr2D69O2KEVRppMJOe7eIWRykdx9kViC9mCE9oAJ7m2BCB3J50Bk6IL7rtjeGP3scWXsd/Z1xH2FxL35NHdHtmgJinU0oDvqGZ+XRcXceeT5HHRWrWRc2WQ8GVkpORePw0qez0mu175Frd3r3PPStiSJTYhhlkhobrr9d/zyJ9dRNPEPA04iiiUSrG30k3nyTwh0RagOw+R8N7MmZFKW68EyiKbrPJ+ZSa0s10NJjlv6IYeQw2Yxk6JkbDtxTigapz0QpdUfoT0QoS0QpTUQoSMQGdZm+SXvvU5DVWW/Y/TzYs0c9hWzsI3Wmo5AmA01ddQ0NNPshO6CUlpcOby+ot5sE3cSXfoxdDbg1kFy3DbmzDmAvffZD2DYu1QCkTiB1gAbW7d83WW3bm6C95kZAnO8jj02K15q4EIMQiyeYEVtJwur2thUW99/DahwPBVHn8q0/ecxbf95AHSGoiyr6WBpdQsRbZLEZk/IZOb4zN1uIrdbFaW5HsrzvJTne2VijlFGa01nKEZ7wEyB2haI0OqP0ubfchjZYAxmGFkskaDNH6WhvZu166to8UfwawcJZ0bvNnarwmdNULf0XTyEyfXYKc7PpqR0IqV7zUpZH7vDZumd8renfz3P6yTTnf75G9KELsQQi8QSLK1p57Pqti36Q7vaWvjNFSfS3dG6zWf+774XUHnlLN7YxromPxpNsPITyj1Rzjrvot260LjsVible5la6GNinmdUraIlBi4UjScDeoQ2v6mxt3aH6QjGRjRbvj/hWJyW7jBNnSHag3FqW9pp7gySsLt7t4mHusnzOigpyofuJuqWvkdxfg4TSicyvnwqGTn5KQmkdqsi27O5pp7rdSTnr0/d9La7SprQhRgioWicJRvbWbyxneB2+joTic39i063h7N/cCe6eDbvNoZpqqpBxUL4OtZR+/Z8dHcrJ933/C5d3Fx2K1MLfUwvyqAkx52y6TjF0HHZrYzPcjM+y73F6/GE7q2x9zxakk3zw50l38Nps1Kc7aE4uyeZrgCAQCRGS3eYTQ0t1DYHiDq9VDZ1E4o6ofxoWoDP67qJLvsPurOBw448htLxhURba4h1NDOufCpZeYU7/dsfTKtCNG4mOmrqCm/xulKQ6bKT53OQnQzoOR4T5H1p1M8uNXAhBiAUjfNZdRufb2wnHO1/KFjfJCJvZg4ohb+jFUd+GYVn30ZhYSH7lmSx+vk/8vErT2Kx2rjmd08xcca+Oz2+w2ZhSoGXvYoymJjnlWzxPZzWms5gjBZ/mLaAmWilJ7jvaKjiSJQrEInT4g9T29hKXXMbrf4oARwkbJvzBRLhANGWGhIddbh1mGy3lRPPupAcr4toOIDDZSaoScXc+w6bhUy3nezk3AeZbhtZbjtZbjsZrpFbca7HqKyBK6VKgfnAOCABPKC1/kOqyiNEf0LROJ9VtbF4Y/tOL4yf/vM5GqoqyS+dzAFX3sWa+i4iT95ApLmaqf5lnHTwxSil2PfaGzn0+DOJhPw7DN5KQWmOh73HZzK10CdrPYteSimyPHayPNvmOXSFor3BvDUZ2FsDke22GA11ubxOG16njbJcL7B5xrlAJEabP0ptcxu1jSFabEX4C0pI2D20A098UoNVKXR3E/7aL3HFg3gJ4s0poKGqkt9ccSKweXKa/Q4/bljOIRJL0NwVpnmrWjuY0Rxep5UMl42M5GRGXqcNX/KcvQ4rWW77iHUXpKwGrpQaD4zXWn+mlMoAFgGnaq1Xbu8zUgMXI2VXAjeYZvM///pGNjW3k/PfF2HzZTNjXCZ7ZcbZ+NmCXaopZLrtzCrOZGZx5h6bXSuGnj8c2xzYk3Owt/hHJrDvSDgWp80fTbYmRNlQvZGOsCZm94KybDM5jdXlZepxFzO+qJDS8UWUTJxE3riS3qmHU+3KI6YM6RDNUVkD11rXAXXJn7uUUquACcB2A7gQw62nqXxx9cACN8CmtiCvf7SE0NyLKNBx9p+Yx5zSHHwu899rYsnOg7fVophS4GN2cvhYumfOitGnp2ZcmrvlxDCmL3vLPvaW7vCIjWd32qyMy7IyLss0sR82NR8wIzzag1HWr4/zrIJIcnutrPhL5rHem836IMQXN+OIbmD69Bnkeh1sWvIuRTlZTCwvo6C4DKs1ffq0d9WoODOlVDkwB/g4tSURe6pwLM7iapNVvr0+7r601lS1Bvh0fSu1HSHiMRveuv9w4Xnn4tqFYWCZbjv7TMhi9oTdHz4mxGB4HDY8udsG9mCyL7vVH+mtrbf6w0M6C92O2KwWnNFu3r77+0T8HVsMzQy/eDPHX/cHmrvDNMYjRH15bGjxs7KuE7wzWR+BD1eFiP3n31hD7ZQWFzF79r5kuqwkOuoYXzIRqy39W7dSfsVQSvmAZ4Hvaq07+3n/CuAKgLKyshEunRjrIrEEn29sZ1FV24CW89Ras67ZzyfrW2nsCuNz2nCv+zfrXvszP/7zywMK3kqZ+cz3K81mcr5XattiVHI7rJQ4PJTkbBnYQ9E4zd3hbfrZh2ose187mpym68tP+OpWXVOhaJyG1g6qN9XR0NJBm9tO0FPCJksOm1Y29G4XW7wQFWjpTaCbNWs2UyaV43Hs3lrsW2fKNzY28swzz3D11Vfv/skPQEqz0JVSduAV4A2t9e92tr30gYuhEo2bcdwLN7QNqKlQa01lYzefbGiluTtCltvOQeU5zBiXSc2apTRtWk/F0afucB8Om4W9x2ewX0k2eT7nUJ2KEKNCKBrfohm+tc9a54MJM0Oxxnk8oekIRqltaqOy8kta/BECCTtxdzbKvjk73qYSRJqqccYDZDkVhTkZlBWPZ9LkSTgc/f+f3TpT/qJDy/mfY49m5cqV3HPPPYMO4qNyIhdlbnMeA1q11t8dyGckgIvBisUTLNvUwcINbQOqMWit+bKxm0/Wt9Lij5DjsTO3PJe9ijIGPP46w2VjTlk2s4qzZP5xsceJxBK9k9T0fbQHoimfpEZrTVuXn45gnI6Ipqqmlo219cScmSj35nngLWhyfU7skS7CjespyPJSVjyOSeXlxMLBLWZgdDusNDU1MXPmTBYsWEBhYeGgyjhaA/hhwHvAMswwMoAfa61f3d5nJICL3RVPaFbWdvLx+ha6QgMP3B+vb6XVHyHX62BueS7Tiny985Mvefd11iz6gFO+/SOcbu82+yjMdHLgxBz2Khx4sBdiT9EzSU3PlLKbp5dN7Vj2Ht3+IOurqqipb8ZdPJWOUJxNjS1ELE6UMkM6dSKO7myktDCbRb+/nHC3WQWuoKCA5cuXDzp4w+jNQn8fkKuaGFaJhGZVfScfr2ulIxjd6fY9TeUfJ2vcuR4H/zN7HFMLfVssLBKLRHjloTtxuNzYHVsuaDExz8NB5bnbJAUJITYz6887++1O6g7HaOsT0NsCZorZzlB0UM3xu8LndbPPzBnsM7PvqxMIhkJsqN7IxtoGGru66cJGeyhBNDHyleGUJ7EJMRy01qxp6OKjtS20BQYWuNc2+flofQst3aapvL/A3eODl5+ipW4j37rtISxWKxalmFbko2JiDoWZ265QJYQYOF9ycpStb4J7hpa19ywEE4j0/jyQJNSh4Ha52Huvaey91zRg8wyMiUAH7oxsnHYbTU1NHHnkkUPShL4jEsDFmNJTg/5oXQvN3ZEBbb++xc/H60xWebbHztdmFZk+7u1ko3a2NvHPp+5jesVhzJx7ODPHZ1JRnkO2Z3BrdgshdsxmtZDvc5LfT609GNm8IEzPGu0mwEeJD2PteOtM+b5JbMOdiS4BXIwZlY1dfLiutd8pELemtaa6NcBH61qp7wyR5bZz7Mwipg8gOe2lP91OLBzix7fezmmHlpMhs6UJkXJuhxW3w01x9pYLwiQSms5Q3z52s4TrUE0v25MN35MpX1hYyIIFC8b+MLJdJUlsoj9rm0yNu7Fz54EbzMxpH65rYVN7EJ/TxsGTctl7fOaAFilw2CyMtwWI1H/B2WeeMdiiCyFSqO8sdC1DNL3sHjGVqhCDtbapm4/XtdLQGRrQ9vWdIT5c20J1awCPw8oRexUwa0ImNsvOFwlx2CxMy7Zw6N6leF12YOcriAkhRrftzULXHY7R3BWmxR+msTNMU3LimtFW35UALtLOuqZuPtqFwN3UFeajdS2sa/bjsls4bGo++5ZkYbcOLHDPKctm/5IsTjr+OLKysnj22Wdl9rQx4svvfgnAtLumpbgkYjTpSaIrz988PDQaT9DUFaahM0RDZ4j6jhDtwZHLiu+PBHCRFkyWuBneNdCm8jZ/hI/WtfBFYzcOq4V5k3OZU5ozoGU5HTYLc0qzOWBiDi67lXvvvZe3336bBx54QIL3GNL9eXeqiyDShN1qoTh7yz72UDROfUeI2o4gte0h6juCI1omCeBiVOs7ocpAktMAOoJRPl7fwuq6LmxWxUHlORxQljOgfimHzcL+pdkcOHHz9k8//TTXX389xx13HJdddtmgzkcIMXa47FbK8729NfVEQjOS9/cSwMWo1DMBy8INbbT6dz4cDKArFOXTDW2sqO1AKcX+pdlUlOcMaJUvu1Wxb8m22996663cfPPNHHLIITzyyCNS+xZCbNdIz7goAVyMKrF4ghW1nSysaqNzADOngckkXbihjaWbOtBaM6s4i4PKcwY0vMtmUcyakInXX4snHKK+pguv10tWVhYul4szzzwTgB//+MfYbPLfRQgxesgVSYwKoWicpTUdfL6xbcDrDQejcRZVtbFkYzvxhGbv8ZnMnZRLlnvngduiFLOKM5k7OZfvXf1tHn744S3eP+uss3j66afZe++9uemmm3brnIQQYjhJABcp1RWK8vnGdpbWdPS7gEFnaxPP3HUj2YXFHHPOlWTmFhCOxvmsup3FG9uIxjXTizI4eHIuOQOYCU0pmDEug3mT83pnTjviiCMoLCzkwAMPxO/3EwgEAIhGo9jtMkmLEGJ0kgAuUqKxK8RnVW180dC93WkOa75cwcM3X0V3ZxuJWIyF77zOAZf+kmZPGZFYgmJXlMTat/j4oWdY6svi69fcyNR95273mFMLfRwyJY98n5Pu7m7effcjvvKVr3D++ecP12kKIcSwkQAuRozWmvXNfhZXt1PdGtjp9uFgAKvDwVW//yvrAw6W1QeotbmYkuMmsfJfvPPwbVjtdmZUHE7d+i946U+38717th2jPTHPw6FT8ylKLjLS1tbGCSecwJIlS1i/fv2wLjYghBDDRQK4GHaRWIKVdZ18Xt2205XBtNasXfYpU/edS8nMA/jqjU/xek0n4ViCSePymDcpl8JMF405h1Oc/2tmHfJV3N4MIqEg3e0tKKXwd7azZtH7nHTamRwyJW+LWZba2to45phjWLZsGU8//bQEbyFE2kppAFdKPQycCDRqrWensixi6LX5IyypaWdlXSfh6Lb92/154/F7+Nczj3DsjY+zPugygTvfy8GTcntr0ACFpZMpLJ3c+7vD5SZ3XAkAy95+lr/ddweeljWccvfdm8vTJ3g/99xznHDCCUN0pkIIMfJSXQN/FLgHmJ/icoghkkho1jX7WVpjmsl3ZZrBt194ko83tDHx2sdZ3eVgcr6buVsF7h3J9To4ZEoe1x75S6ZkWfnVr37F4sWLefbZZyktLeXBBx+U4C2EGDNSvhqZUqoceGUgNXBZjWz06gxFWb6pg5W1nXSFYrv0WX84xqvvfUpN1IvF4WZKvoe5k/MozBhY4M5w2Zg3OY+Z4zO3mEjh+eef58ILL8TpdPLyyy8zd+5cli9fzr77ykIkwlh8xGIA5rwzJ8UlEaJ/ab0amVLqCuAKgLKyshSXRvQVT2jWNXWzoraTDS3+XZ7UvyMY5bMqM3NaTFIxtkcAACAASURBVOdga1nFN044hqIc34A+73VaOag8l31LsvtdCvS0005j5syZXHnllZSUlGCxWCR4CyHGjFEfwLXWDwAPgKmBp7g4AjMEbEVtJ2vqu3Zp3dz3X3qS/Q4/jrDdx8KqNlat20hg9fscfOI5eOqWcODpx+J0e3e6H5fdSkV5DvuXZu90RbHp06fz9ttvD7iMQgiRLkZ9ABejQ1coypr6LlbVdw14UZG+3nvxCZ6/9+e8/sxj5J75S2xWRfNTPyDYUotreiH/dfK5O91Hz9KeA12YRAghxrLtBnCl1ONa6/OVUt/RWv9hJAslRodgJE5lYzdrGrqoadu1hLQeiYSmsqmb9Rn7YM8rI9BQRfyxa0hEwkTDQVzeDPY7/Lgd7sNuVexXmk3FxFzcDgncQggBO66BH6iUmghcopSaD2zRyai1bh3swZVSfwGOAPKVUjXAzVrrhwa7X7H7QlETtL9s7KK6JUhiN5Mcw9E4y2s7WVLTTlcoRrYni9NveoCXbzoHf4f507E5nPzwwX+QkZPX7z5sFsU+JVkcVJ6L1ymNRUII0deOror3A68Dk4FFbBnAdfL1QdFaf3Ow+xCD1x2Osbaxm8rGbmradj9ogxn7/XlNO6vqOonGNSXZbv57rwIm53vpbm/l2aC/d1uX24vFsu2foNWimD0hk4PKcwe0opgQQuyJthvAtdZ3A3crpf6f1vrKESyTGAGNnSHWNftZ3+ynoTO0W83jPRLJKVKX1nRQ3RrAqhR7jfMxpzSHggwnAF1tLdx3/flEI2HsThdOl4fujlbu+8EFXHXHfDJy8rBazAphB03KJVMCtxBC7NBO2yUleI8NoWic6tYAVS0BNjT76Q7v2ljt/vjDMVbUdbJ8UwddoRg+p41DJucxqzhzmybvz999jYbqtRSVTeHbdzyGRVm47wcX0FBVybL3X+fbV14lgVsIIXaBdCyOUbF4grqOEBtbA1S1BgZdy+6htaa6NcCyTR2sazZjv0ty3Hxlmmkmt/QzHnvjF8tZ9OaLHHfB/3LICWf39nn/752PU79kAb/4yXUSuIUQYhdJAB8jIrEE9R0hNrUHqWkLUN8RIradZTp3R3sgwqq6LlbWddIdjuG2WzmgNIdZEzJ3uA73hpWLefTWa7Ha7Mw7/htk5ORhtypmT8iionwyvjPmDVkZhRBiTyIBPE21ByLUd4ao7whR2x6iqSs8qOSz/oSjcb5s7GZVfSe17SEUUJbn4fBp+Uwu8GKzbH8SlY1fLOO1x+5m9afvkpGTz2U//xP5hUXsV5LNnLJsySoXQohBkqtoGugIRGnsMkG6sStMfWdol2ZA2xWxeIL1zX7WNHSxoTlAXGuyPXb+a0oee4/LxOfa8k8mHAxQvXoJge5Ogt2dzJp3FBk5eXz02jNUr17KCZd+n2NOv4B50yewX2m2TMAihBBDRAL4KNIdjtHmj9DcHaalO0KrP0KzPzzgpTh3VzSeoKolwJeNXaxv9hONazwOK/uUZDF9XAZFGU6U2rZve8VHC3junltpa6ztfe3qO58gIyeP4y/+Hude+2MOnVnGrOLMnU55KoQQYtfs0QE8Gk+MaGCJxRN0hWJ0hqJ0Bs1zRzBKqz9CRzBKJDa8gbqvYDTOhmY/65r9bGj2E0to3HYr04symFaUQUmOG0s/QbtHW2Mtj9xyDQUl5Vxyy33kFk3A7csiIyePokwXB+4zk2mFvn6T2oQQQgzeHh3An1+8iaauMJluO5kuG5kuO067BbfditthxWWzYrUobFZlni0WtNZoQGvQaGJx84jEE8QSCULRBKFonGA0Tjgaxx+O44/E6A7Hhr0mvSNaa5q7I1S3BljX3E1dewgNeB1W9h6fybRCHxOy3TsNuDWVKymZOpOcwmK+9auHmDTrAGx2B0rBlAIfc8qyKcnxjMxJCSHEHmyPDuBgsrebu8K7tUDHaOcPx9jYFqC6NUB1SwB/st/cEemg2Bbi8IMrKMxwsvS9N8jI2x+LZfuBNx6P8cqff8O/n3uUb/3qYaYfeCjT9p+H025h5vhM5pTmkOWRoWBCCDFS9vgAPhA9y2D2jF/uamthyXuvc9gAVtAaKVprukIx6jpC1LQH2NQWpC0QBcBls1CW68Ff+SkfP3E72t+O57BjKDrmMIL+Lp749XUkYjGm7X8IFcecyqxDjsLtzejdd6Crg/m//B5ffPYBh596PlP3P5j8DCf7lWQxY1wmDpv0bwshxEiTAL4T77/0JM/dcysfvPwUV90xH6B3BjEgZUE8HI3TmMxKr+sIUt8R2lzDtlqYkONmdnEWE3LcFGQ4WfLOqzz+/65nzhEncO6P7sSSHALm9mbwwz+/ysI3X2Thmy/w1B0/AOCcH9xBxdGn0FK3kftvuIT2xjq++f1fcv6FF7NPSZY0kwshRIrtcQH83nvv5cwzz6SwsBDYeW16v8OP44OXn6KhqpLfXHEiAN0drRRNnLrTZTCHQjyhaQ+YjPQWf4SW7ghN3WE6gtHebbLcdkpyPYzPdDE+y0V+hnOLBLRIKMiLf/oVk2dX8M3rbu8N3j3yi8s47oJrOfa8q9mw4jPWLv2Esun7AFC9einRoJ8Hnn6Rc04+VoaBCSHEKKH0EE/+MZwqKir0woULd/vz9957L9dccw0zZ85kwYIFvPj5Jm684hs0VFXy9Wtu2m4Q72xr5o7LTiDQ1Q6ALyuX6x94pbdJvaVuI2sWvc+GlYs58KiTmV5x2IDLpLUmFE3QHY7RFYrSGYrREYjSHozQHozSGYzSd0K1LLedwgwnBRnO3mePY+f3YQ3Va/Fl5+LNzBlQudwOk5E+zhWjND8Tn8834HMSIl0sPmIxAHPemZPikgjRP6XUIq11RX/vpbQGrpQ6DvgDYAUe1FrfPpzHO/PMM7nvvvtYuXIl02bMJBCOEQt04M4vYaMq5Pm3/oPH5aRk0lQcVgu1Xy6jeuVnVC37iEB3Z+9+EkBnIMRzD91EXdUXtNbXgrJgd3k48Ovfoq4jaLLTE5pILEE4Fk8+mwz1QMRkqQcicfzh2DZTntqtiiy3nXyvk6kFPnK9DvK8DnK8jgENewsHA1StXsK6ZZ/icHk48sxLKSqbstPP2a2K8nwvM8ZlMCnfh1WGgAkhxKiVsgCulLIC9wLHADXAp0qpl7TWK4frmIWFhSxYsIDZs2fT1NQEgMXlI+uE66i3FmLBAyFYvaox+YkC4uMOpmvBi6ATWDxZAAQ6Wrn7uoso+uZtuOdkM6HPMV6vSkBVTb/Htyhw2a14HGaY2rhMFx6nlQynDZ/LRobTTobLhsdh7XfilJ2pXPoJrz3ye6pWLyURj6EsFkqmzmS/w79G3vjSfj9jtSgm5nmYPi6Dyfk+SUgTQog0kcoa+FygUmu9DkAp9TRwCjBsAbw/TpuFU/fOJDPXA1YrWtnx5o0jEk/QVF/Ll58spaalmpwJkznphvvRWvPyr75Ne+16StqXMKviTBQKpUApsFksBNqbefYPN0IixqyKQ/C6XHg9HuZ85Viy8gppqF7L+hWfEI9GGD95OpOn9ds6sssaq9fS0dLIkWdeyuR9Kpg08wBc3m2bvp12C5PzvUwu8DExz4PTJv3aQgiRblIZwCcAG/v8XgMcPJwHbGxs5Mgjj6SpqYmCggLCsQSdbS08//9u46o75vf2affInzqJvadeSq7PtcUwsqm/f3LHw8gKfRT/5Jc8fecNLH75UcIBv/ncPgeQlVfI2qWf8ve7b+7dfO7XTueUb/0Ity+z97V4LMrn/36N9SsWkZFTwNfOvwYwq3sFujtxujw43R4aqteiLBYOOPJE5h1/FhXHnIbD6dqiOEpBvs9JeZ6XiXmeAU3YIoQQYnRLZQDvL4Jsk1GnlLoCuAKgrKxsUAd85plnWLlyZb9JbDsKyFu/npGTt9PhY/nFZVzzuycBMwlKsLuzd2z1AUedyMyDj0BZFO+98ATvPPMQmypX8n/3PU844Oej1/7Gu889RntzPS5vBpk5+b0B/PX5f+SLzz7Y4lh7HXAoc444AYvF0hu8sz12SnJMsJ6Y55HVv4QQYoxJ5VW9BujbMVsC1G69kdb6AeABMFnogzng1VdfDdA7jCwrN8xVd8wf9klZrFYbvqzc3t9dHh8uj2naPvHS77Pf4V8j0NmOUoqFb73ISw/8min7zuWM79zCjIO+ssWwrzO/cwvdHW1Egn7CoQAWi5XZBx/O+GwPRVkuxmW6mJDjxicBWwghxrSUDSNTStmAL4CvApuAT4FztNYrtveZwQ4j29rfFm5kU1twyPY3FMLBAPVVlUycsW+/7/ucNvJ8DvJ9TvPIcJDvdUqTuBC7QYaRidFuVA4j01rHlFLXAG9ghpE9vKPgvafIysxgwkEHmcx0p41Mt51sj51st50sj10SzoQQQgApHgeutX4VeDVVx//6nAnEEhqtIaE1Ca2JJzY/Yls8J4glzMpjPa/1bJ/QmkTC7KOnPaOnZcOilHlYwKrMymZ2q6X34bRZcDusuO1WXHarjL0WQggxIHt0R6nNakEqtEIIIdKRzNohhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQakgAuhBBCpCEJ4EIIIUQaSkkAV0qdqZRaoZRKKKUqUlEGIYQQIp2lqga+HPg68G6Kji+EEEKkNVsqDqq1XgWglErF4YUQQoi0J33gQgghRBoathq4UupNYFw/b/1Ea/3iLuznCuAKgLKysiEqnRBCCJHehi2Aa62PHqL9PAA8AFBRUaGHYp9CCCFEupMmdCGEECINpWoY2WlKqRrgEOAfSqk3UlEOIYQQIl2lKgv9eeD5VBxbCCGEGAukCV0IIYRIQxLAhRBCiDQkAVwIIYRIQxLAhRBCiDQkAVwIIYRIQxLAhRBCiDQkAVwIIYRIQykZBy6EEKOBb39fqosgxG6TAC6E2GNNu2taqosgxG6TJnQhhBAiDUkAF0IIIdKQBHAhhBAiDUkAF0IIIdKQ0lqnugwDppRqAqqGcJf5QPMQ7m+0kvMcW+Q8xxY5z7FlqM9zota6oL830iqADzWl1EKtdUWqyzHc5DzHFjnPsUXOc2wZyfOUJnQhhBAiDUkAF0IIIdLQnh7AH0h1AUaInOfYIuc5tsh5ji0jdp57dB+4EEIIka729Bq4EEIIkZb2iACulDpOKbVGKVWplPpRP+9fpJRqUkp9nnxclopyDoZS6mGlVKNSavl23ldKqbuT/wZLlVIHjHQZh8IAzvMIpVRHn+/yppEu41BQSpUqpRYopVYppVYopb7TzzZp/50O8DzT/jtVSrmUUp8opZYkz/OWfrZxKqX+mvw+P1ZKlY98SQdngOeZ9tfbHkopq1JqsVLqlX7eG/7vU2s9ph+AFVgLTAYcwBJg5lbbXATck+qyDvI8vwIcACzfzvvHA68BCpgHfJzqMg/TeR4BvJLqcg7BeY4HDkj+nAHUAR/s7DsF7gdu3MF+fww8OExl/gVm/Gv9IM7zi37+f+7wO93ZOY+GR/I78iV/tie/q3lbbXMVcH/y57OBv6a63MN0nml/ve1zLv8HPNXf3+dIfJ97Qg18LlCptV6ntY4ATwOnpLhMQ05r/S7QuoNNTgHma+MjIFspNX5kSjd0BnCeKaeUekcp1aaUcu7uPrTWdVrrz5I/dwGfAD/barNtvlPgFq31z5PlOEIpVbPVfm/TWg95jUcpVQp8HxN8xw30c/2c5ypgwg6Oc5FS6v2t9vHtnnMerZLfUXfyV3vysXUC0inAY8mf/w58VSmlRqiIQ2KA5zkmKKVKgBOAB7ezybB/n3tCAJ8AbOzzew39XyBOTzZD/j15MRprBvrvMBYckmzCe00pNWskD5xsJjscc9E6eQj3OQdTm+lrNH2nE4EWrXXj7u5gB+cJye8UU+Px7O4xUinZ3Po50Aj8S2u93e9Tax0DOoC8kS3l4A3gPGFsXG/vAn4AJLbz/rB/n3tCAO/vjmfrO8KXgXKt9b7Am2y+axpLBvLvMBZ8hpl6cD/gj8ALI3z8C4CPgEeBC/u+oZTKU0q9pJTqTPYT/rynNqmUKldKaaWUrc/27yilrgaeBV4EXk2+rpRSvweOAV5PXghnJz92s1LqF0opL6Z5vVgp1Z18FCulfqaUeqLPMU5O9lW2J4+3d5/3NiilrkvuvyPZn+fa+oSVUkcD/+pzrEf7q/0n93d08uefKaX+ppSar5TqUkqtSpb3u1rrzmTf+HPKTJ/8HKYGczYwA5iTPE57cl+PKqV+0ec4lyf7HVuT/97Ffd7TSqlvK6W+TLaS3DtStVytdVxrvT9QAszt8531Fq+/jw1/yYbWAM4z7a+3SqkTgUat9aIdbdbPa0P6fe4JAbwG6HuHVwLU9t1Aa92itQ4nf/0zcOAIlW0k7fTfYSzQWnf2NOFprV8F7Eqp/BEswgXAk8nH15RSRX3euxcIYfp9L0k+dkQBVyb31fdCcSwmF+Ap4HLgLKAF850GALTWfuB/gFqttS/52OL7VkrtBfwF+C5QgLlBeFkp5eiz2TeA44BJwL6Y/sstaK3f3OpY22yzHSdjurTyASfg1lo/p5SyAq9g1j0oB4qBx7XWq4ArgDAmAGRvvUOl1FHAr5LlHp/cx9NbbXYicBCwX3K7rw2wvENCa90OvIP5d+2r9/9o8kYui1HeXbQj2zvPMXK9PRQ4WSm1AfP3dVTfG+OkYf8+94QA/ikwTSk1KXlhOht4qe8GW/UFn4zphxtrXgIuSNbe5gEdWuu6VBdqqCmlxvXUqJRSczF/4y0jdOzDME3Jf0vema8Fzkm+ZwVOB27SWvu11svZQc0jeQ7TgTqt9e+2ejuKSfhahrlhWJ08bgcQ3IUinwX8Q2v9L611FLgTcAP/1Webu7XWtVrrVkzNaf9d2P/OvI+pdf85+XPPzc5cTNC+Pnkjkg18kHxvUvJ5e9/pucDDWuvPkkHiBkzze3mfbW7XWrdrrauBBQztOfVLKVWglMpO/uwGjsZ8b329xOZWmzOAt3UyAypdDOQ8x8L1Vmt9g9a6RGtdjokpb2utz9tqs2H/Pm073yS9aa1jSqlrgDcwGekPa61XKKVuBRZqrV8C/lcpdTIQw9whXZSyAu8mpdRfMNm6+cmmy5sxCSRore/H1K6OByoxtbSLU1PSwRnAeZ4BXKmUimGC2dkjeBG8EPin1rpnJaKnkq/9HlPDtbFln/WOVtY7FBPQosn+xFygSyn17eT79yT3PRMTuDcmf79mF8pb3LcMWuuEUmojW/aj1/f5OZD8zFCpx5zn+ZiLvCt5rq8lj3UZJsO873fqA9bs4DstxnSjAKC17lZKtWDOaUOf4/YIJPc53MYDjyVv5CyYm7xXtroOPQQ8rpSqxFyHzh6Bcg21gZxn2l9vt2ekv88xH8Chtyn11a1eu6nPzzdg7tTTltb6mzt5XwNXj1Bxhs0AzvMeTHAbUcnaxjcAq1KqJ0A4Mdn++wHLMResUjbXSMr67MKffPYAnVrr95VSa4A7tdYPKqUuAi5L3qT0uFspVQj8DXhPa71wq+7cnd241AL79DkHlSzfpoGc80746ZNslrygb7Mkotb6/eShy4H1QAWmeftSktm9fb9TpdSFmG6D7anFtEb0HNeLSRwainPabVrrpZgEva1f73sdCgFnjmS5htoAzzPtr7d9aa3fwXQVjPj3uSc0oQsxEk4F4pga8f7Jx97Ae8AFWus4JhnrZ0opj1JqJn2S3LTWTZggc54yWbyXAFP6O5BS6iCl1MFKKTsmUIaSx95aA5CnlMraTpn/BpyglPpqcl/fx/Qv/2cXz70/X2Bq1Cck9/1TzA3NQHyCGfd+u1LKq8zkIIcm32sASrbqp+/rKeBipdT+ygzjuw0z58GG3T4TIUYpCeBCDI0LgUe01tVa6/qeB6bmeG4yieUaTHNtPSZL/ZGt9nE5cD2mf3cW2w+kmZh+4zZME3gLpv96C1rr1ZgktXXKZJkXb/X+GuA8TLZ+M3AScJI28yUMita6AzORxYOYGxM/JqlnIJ+NJ8syFahOfu6s5NtvAyuAeqVUcz+ffQu4EZO5X4e5CUrHpmghdkoWMxEiRfo0ix+W6rIIIdKP1MCFEEKINCQBXAghhEhD0oQuhBBCpCGpgQshhBBpSAK4EGK7kkPWliaHcnmVmTd967mthRApkFZN6Pn5+bq8vDzVxRBCCCFGxKJFi5q11ttMggRpNhNbeXk5CxcuTHUxhBBCiBGhlNrulMvShC6EEEKkoUEHcKXUcUqpNcn1d3/Uz/tOZdYRrlRKfdyzKpBSaq5S6vPkY4lS6rTBlkUIIYTYUwwqgCcXKLgXsxbwTOCbyTme+7oUaNNaT8WsyvTr5OvLgYrkwu/HAX9KTjcphBBCiJ0YbMCcC1RqrdcBKKWeBk4BVvbZ5hTgZ8mf/w7co5RSWutAn21c7HzlJCGE2D2JBKxdC59/DitWQG0t1Nfz5ScHQSDItJwnN29rsUBBAYwfD8XF5jFzJhxwAJSXw5YrvgmRMoMN4BPYcn3jGuDg7W2TXJu7A7O8X7NS6mDgYczyf+drrWODLI8QQkAkAh9+CG+8Ae++C0uWQHe3eU+p3gDdHTkD3HY46qjNn43FoKkJ1q+H//wHmvusmZKdDXPmwFe+Av/zP1BRAVbryJ6bEEmDDeD93YpuXZPe7jZa64+BWUqpvTGLwL+WXEN184eVugK4AqCsrGybHQkhBAAdHfDss/DCC7BggQnYNhscdBBcfDHsv795zJoFzuTKpkcsNs+P7GCZ+WAQli+HxYvhs89g4UK49Va45RbIy4Njj4VTT4WTTgK3e/jPU4ikwQbwGqC0z+8lQO12tqlJ9nFnAa19N9Bar1JK+YHZwMKt3nsAeACgoqJCmtmFEJuFQvCPf8BTT5nncNg0c59/vgmsRx0FmZmDO4bbbW4CDjpo82stLfCvf8Hrr5vHX/5ijnPGGXDeefDf/22a4oUYRoMN4J8C05RSkzBr/p4NnLPVNi9h1kr+EDgDeFtrrZOf2ZhsVp8ITAc2DLI8YmvRqGnik4uJGEs2bID774cHHzTBtKgIvv1tOOccE2iHu586Lw/OPts84nH497/h8cfhmWfg4Ydh0iS4+mq45BLIyRnesog91qACeDL4XgO8AViBh7XWK5RStwILtdYvAQ8BjyulKjE177OTHz8M+JFSKgokgKu01s3bHkUMSChkmg3fftv03VVVQXU1NDaa991u8HrB54OpU01T4n77mee995Z+PDH6aQ1vvQV33w2vvGKC9CmnwLe+BV/9qmkuTwWr1dT0jzoK7r0XXnzR3Fxcdx3cdJNpDfjOd8z/MyGGUFpNpVpRUaFlJrY+OjtN090rr5gLWzBo+vYmTYKJE6GsDEpKTAau328enZ2werXp0wuHzX4KCuDEE83F8JhjwONJ7XkJ0Vc8Ds8/D7ffDosWQWEhXH65CdylpTv//A4sTvaBz3lnzlCUdEuffw5//CM8+aT5v3baafCTn8CBBw79scSYpZRapLWu6Pc9CeBpqKEB/vAHuO8+k7hTXm4C8AknwBFHgMu1831Eo7BmjUnKef11ePVVsy+XC04+Ga64Ao48UpreRepEo6ZZ+vbb4csvYdo0+MEPTI22JwltkIY1gPdoajKB/O67zf+xr30NfvpTOOyw4TumGDN2FMDl6pxOamvhqqtM7fr2202SziefwLp15gJx3HEDC94AdjvMng0XXGASgBob4c034dJLzfPRR8OMGXDnnVsOoxFiuMVi8Mgj5u/v0kshI8P0La9aBZddNmTBe8QUFJis9aoquO02c9N8+OEmkH/6aapLJ9KYBPB0kEjAAw+YySQeesgE3TVr4G9/G7qEHYfD9CPecw9s2mRqPkVFcP31pin+O98xfepCDJd4HObPN4G7J/nrlVfMsK0zzkj/PI2sLLjhBpOA95vfmO6AuXPNELSlS1NdOpGGJICPdqtXm2bxb33LzAS1YoUJ5tOmDd8xXS4zFOa992DZMvjGN0xz/ZQpZjzt6tXDd2yx59EannsO9tkHLrzQDMd68UVTOz3hhLE385nHYxLc1q+Hn/8c3nnHJJOef755TYgBkgA+WmkNd91lMsWXLTM177feMhnkI2n2bHj0UTMN5VVXwV//aibCuOAC85oQu0trM5Z67lw4/XTz+9//bmqmJ5889gL31jIyTF/4+vWmb//vf4fp001rV1NTqksn0oAE8NHI7zfjWb/3PdOvvWqVaVJM5QWtrMwkzlVVwfe/v/lic/nl5jUhdsUnn5g8i2OPNfkXDz9sblRPP33sB+6t5eSYnJbKSrjoItONNWWK6Tfvmf5ViH5IAB9tKith3jxT073tNjN8Zty4VJdqs4ICuOMOkzh39dWmz3KvveC739085lyI7Vm1ygTpgw82/b533QVffGG6ZlI1jnu0mDDBdI+tWGFubm6+2bS43XefycgXo18oZFqSRogE8NHk9dfN4gi1tebnG24YvcO4xo0zNfLKStNv2VNr+NnPzFhzIfrasMEE6dmzTbP5LbeYm8DvfCf9ssqH24wZJifgww9NK9fVV5sE1r/8xSS0itHr2mtNq1I8PiKHG6XRYQ80f74Zy11ebvoAjz021SUamNJSU2tYvtw0999yiwnkv/uduRsVe7a6OrjmGtNK85e/mIC9dq2ZoSwjI9WlG93mzTMJbv/4h5lJ8ZxzzEpor7wyorU8MUALF5pcpX33HbERExLAR4M77zS12COOMJnf5eWpLtGumzHDjNX99FNzkfn+902m/IMPmnG9Ys9SX2/+BqZMgT/9yeRwVFaaG7uCglSXLn0oBccfb2Z1e/JJkx9z0klmEpi33pJAPlokEqb2XVhobk5HiATwVEokzHCS66+HFd5S3AAAE6JJREFUs84yd9rpXiupqIB//tPMyT5hgklymznTXHxGqFlJpFBP4J482fRvn3GGGXZ4//1mWl+xeywWUwNftcrcEFVVmX7yww83Ey9JIE+txx+Hjz4yyYhZWSN2WAngqRKLmT7B3/7W3Lk99dTY6gs88kjTh/fii6b577zzzPCzp56SQD4Wbdhg/o57Avc3vmEC9/z5phYuhobdbqY5rqw0eScbNpj1Cw47zFQApI985HV2wg9/aLo8LrhgRA8tATwVolET0ObPN0NF/vCH0ZusNhhKmfG8ixebYWcOB5x7rgnkjz4KkUiqSygGa+lS851OnWpqhmefbQL3o48O72RDezqXyyS3rV1rstQ3bjQ5NPvsY4bk9SxUJIbfrbeaETh33z3i1/ExGDVGuUjEXOT++lczHOvGG8f+uFeLxQwd+vxzE8idTtP6MHmyaYGQrPX0Eo+blpVjjjETDb30khlGuG6dCR4SuEeO0wlXXmkC+eOPm6F4l15qViT8+c/NiBYxfFatMhWwSy4x01qPMAngIykcNn2Czz1nmhmvvz7VJRpZfQP5a6+ZzOTr/n979x9kVXnfcfz9ZZdfokiEVXFxZRGcCUrxx4ZBTZpMKYq2hYaowUwbdDRO2jLaUduoSWx18st/Ettix9HgxFgVHW3rqiTECv4eEVC0LqKzIFWE6AK6oqCy8O0f37PZ5XJXLnt3793n3s9r5syePee59z7Pnr3ne54f5zlXxyQxV10VT5ySgWvr1rjoPP74mL973bqYq+Ctt2Igpvq4y2fw4GjVW7MmxqBMmRKDqRoa4jv32GNqXu9rn30WU1yPGBHfgzJQAC+VXbvipPfww9HkdcUV5c5R+ZjFLWfLlsWMXGefHc1PJ5wQ6w89pJHrA8Xu3VHDnjsXjjkm+vomTIAHH4wpQK+9NmYSk4HBLFpGli6NC+Irr4Qnn4zbUidMgGuuiW4PDXorjjt897tx19DChTH6vAwUwEth587oC166FG6/PZq8JHzpS9Gd8NZb0eS3dm1c6NTXw+WXR4DXyaa0Ojpg+fK4f7u+HubMgeeei4vOV1+NC6+5czVz2kA3cWK0mLzzTgwenTw5WkqmTo0a+g03xL3LqpkfvJ/+NB55e/310fJRJuYJnRybmpp81apV5c7Gwfnoo7hv88kn44DPn1/uHA1sHR2wZEn05z38cHQ7TJwI558fT6aaPj39x0oORDt2xKQhDz0Uy9atcffAuefG/NyzZlVkwH7pay8BcMoTp5Q5JyXS1hbzNdxzT1yUucesiuecE61fX/5yXLRJzxYvhgsv7BqI3M9jmMxstbs35d2nAN6PduyIE+Bzz0VA+ta3yp2jtLS3R1PtPffEBVBHB4weHSebs86Ke2CPO67yBwH2h507o/a1fHn0j65YEX/fww6LC865cyNojxhR7pz2q6oL4N21tcWUzY8+Gq2DH3wQ2xsbI5CffnpXbT31+Sn6yrPPwowZMZf/735Xklt/FcB7sndv/w3737YtbutYuTIC0AUX9M/nVIsPPogvzCOPRA1927bYPm5cBPLp0+NkM3UqjBpV3rwONDt2RNdES0v8Pz7/fDz5a8+euPhpaopJQWbOhDPOqKz5CA6gqgN4dx0dMQDumWdiefrpfR9ONGFCzGM/cWIMYjz++NhWXx/PN68G994bg9bGjo05Lo44oiQfqwCezx13xDSfy5bFPZV96e23ozlq/fpobvn61/v2/avdnj3RF/v0013Lli1d+xsa4mTTeZKZMCFq6mPHRg2+kprg3WN6zffeg3ffjbEEGzfG8uabcZvLW291pR85Mp6/PX161CLOOKNkJ6KBSAG8B+5xHnvlFXj55fjZ0hK3Cu7atW/aUaNigOPYsTFN7pgxsdTVxf9W5/KFL8T3b+TItOa92LkzxuMsWhTfl8WL4xkQJfJ5AbzyOrUKNWZMXEUtWBCBvK+0tETw3rEjaoxf/WrfvbeEmpqu2vaCBXGy2bIlTjSdy7p1Edh37Nj3tYMGxYjRI4+MKQ87l5Ejo893+PC4oBs2LG7NGTw4+n5ra+O1ZrF0rufqvCDO/dm5vndv/Oxc9uyJbXv3xvru3bF0dMRtKrt2xUNhdu2KE8mHH8bS3h6tEm1t+59QIU6Uxx0XTaGTJ8fkOSeeGBc1KZ08pTzM4kK4oSFaEjt1ftfWr48LxM2b911Wr47/yc7m+HwGDYpgfsQREeSPPLLr59FHR62+vr7roqCcF9yvvhrTXL/2Glx3XTxtcfDg8uUnR/UG8Nmz4fvfhx//OGojl15a/Hs+80z0Hw4fDk89FQFG+p9ZfNmPOSb6xzu5R1P7hg0xd/S778by+9/HSaa9PUborl0bQXHXrlgG0qjcYcO6LiyGD++62GhsjJ+dFyOdS0NDBG71WUp/6P5d+8pXek63e3d8995/H7Zvz79s2xbfw/XrozK1dev+0yzX1kZtd/z4WBobY6KgiRNj6Y/uMvcY0LlwYQzoHDMmxgjMnNn3n1Wk6g3gELdRvPBC1OJOPjn6AnvDPQ721VfHP9nSpWk+UazSmHU1502bVvjrdu+OQN7R0bXs3r1vDTo3yLt31ch7+gn71uLNonZRUxPbBw3av9avAXqSosGDozZ99NGFv2bv3gjomzfHhfU77+zbJfTb3+7bVQbx3Z40KZYTToig3tgY59+6usK/Px9/HONCnn8+bvVduzZasa66Ku6lP+qowstRQtUdwGtqYoDZaafFbEWrV8c/xMHYti2m0WtujtucfvWrg38PGVg6g6iIlM6gQREojzoqHkmcz86d0aLW2hrLG2/EhDWPPx63dHU3fHi0SI0ZE8F49OhoweroiNtTP/00bvNtaYn36ezuamqK8/gFF8R7DGDVHcAhDu6DD8KZZ8Yc5fffX/ignieeiHsB29piatTLL1eNSUSkvxxySAxQPemk/fd9/HEE984BnBs3Rg1++/boQnvxxeg2q62NOy2GDo33++IX477uqVOjJTah1lMFcIgrrltvjX7w44+PvvEFC/KPTt+7N5pybr457p+dNCn6b049tfT5FhGRMGJE3LM+ZUq5c1IyCuCdLr44Avn3vhcPGVm4EH7wg2jO6ewD3bIlAv26dTGI4yc/iWcgH3pouXMvIiJVpqgAbmazgH8BaoBfuvvPcvYPBX4NnAZsA77p7hvNbCbwM2AI8BnwD+6+rJi89IkpU2KSkMcfjyD+ne/sn6apCe6+O54qNmRI6fMoIiJCEQHczGqAW4CZwCZgpZk1u/vabskuAd5394lmNg+4CfgmsBX4C3ffbGYnAUuBgTMB74wZMc3kmjXRZN45KviQQ6J/RP3cIiJSZsXUwKcBre6+AcDMFgNzgO4BfA7wz9n6A8BCMzN3f6lbmhZgmJkNdfdPi8hP3xo0SP3aIiIyYBUzJVM98Ha33zexfy36D2ncvQNoB0bnpPkG8NKACt4iIiIDXDE18HztyLkTq39uGjM7kWhWP6vHDzG7DLgMoKGh4eBzKSIiUoGKqYFvArrP6D4O2NxTGjOrBQ4Htme/jwP+C/i2u6/v6UPc/TZ3b3L3prq6uiKyKyIiUjmKCeArgUlm1mhmQ4B5QHNOmmZgfrZ+HrDM3d3MRgGPAte6+7NF5EFERKQq9TqAZ33aC4gR5K8B97t7i5ndaGazs2SLgNFm1gpcCVyTbV8ATAR+aGZrsuXIXpdCRESkyhR1H7i7LwGW5Gy7vtv6J8D5eV73I+BHxXy2iIhINdODgUVERBKkAC4iIpIgBXAREZEEKYCLiIgkSAFcREQkQQrgIiIiCVIAFxERSZACuIiISIIUwEVERBKkAC4iIpIgBXAREZEEKYCLiIgkSAFcREQkQQrgIiIiCVIAFxERSZACuIiISIIUwEVERBKkAC4iIpIgBXAREZEEKYCLiIgkSAFcREQkQQrgIiIiCVIAFxERSZACuIiISIIUwEVERBKkAC4iIpIgBXAREZEEKYCLiIgkqKgAbmazzOx1M2s1s2vy7B9qZvdl+1eY2fhs+2gzW25mH5nZwmLyICIiUo16HcDNrAa4BTgHmAxcaGaTc5JdArzv7hOBXwA3Zds/AX4IXN3bzxcREalmxdTApwGt7r7B3T8DFgNzctLMAe7M1h8AZpiZufvH7v4MEchFRETkIBUTwOuBt7v9vinbljeNu3cA7cDoIj5TREREKC6AW55t3os0n/8hZpeZ2SozW9XW1nYwLxUREalYxQTwTcCx3X4fB2zuKY2Z1QKHA9sP5kPc/TZ3b3L3prq6uiKyKyIiUjmKCeArgUlm1mhmQ4B5QHNOmmZgfrZ+HrDM3Q+qBi4iIiL7q+3tC929w8wWAEuBGuAOd28xsxuBVe7eDCwC7jKzVqLmPa/z9Wa2ERgJDDGzvwTOcve1vS+KiIhI9eh1AAdw9yXAkpxt13db/wQ4v4fXji/ms0VERKqZZmITERFJkAK4iIhIghTARUREEqQALiIikiAFcBERkQQpgIuIiCRIAVxERCRBCuAiIiIJUgAXERFJkAK4iIhIghTARUREEqQALiIikiAFcBERkQQpgIuIiCRIAVxERCRBCuAiIiIJUgAXERFJkAK4iIhIghTARUREEqQALiIikiAFcBERkQQpgIuIiCRIAVxERCRBCuAiIiIJUgAXERFJkAK4iIhIghTARUREEqQALiIikqCiA7iZzTKz182s1cyuybN/qJndl+1fYWbju+27Ntv+upmdXWxeREREqkVRAdzMaoBbgHOAycCFZjY5J9klwPvuPhH4BXBT9trJwDzgRGAW8O/Z+4mIiMgBFFsDnwa0uvsGd/8MWAzMyUkzB7gzW38AmGFmlm1f7O6fuvubQGv2fiIiInIAxQbweuDtbr9vyrblTePuHUA7MLrA14qIiEgetUW+3vJs8wLTFPJazOwy4DKAhoaGg82fiEiPDj350HJnQaTXig3gm4Bju/0+DtjcQ5pNZlYLHA5sL/C1uPttwG0ATU1N+wV4EZHemnTzpHJnQaTXim1CXwlMMrNGMxtCDEprzknTDMzP1s8Dlrm7Z9vnZaPUG4FJwAtF5kdERKQqFFUDd/cOM1sALAVqgDvcvcXMbgRWuXszsAi4y8xaiZr3vOy1LWZ2P7AW6AD+zt33FJMfERGRamFRGU5DU1OTr1q1qtzZEBERKQkzW+3uTfn2aSY2ERGRBCVVAzezNuD/+vAtxwBb+/D9BiqVs7KonJVF5awsfV3O49y9Lt+OpAJ4XzOzVT01TVQSlbOyqJyVReWsLKUsp5rQRUREEqQALiIikqBqD+C3lTsDJaJyVhaVs7KonJWlZOWs6j5wERGRVFV7DVxERCRJVRHAzWyWmb1uZq1mdk2e/ReZWZuZrcmWS8uRz2KY2R1m9p6ZvdrDfjOzf83+Bq+Y2amlzmNfKKCcXzOz9m7H8vpS57EvmNmxZrbczF4zsxYzuyJPmuSPaYHlTP6YmtkwM3vBzF7OynlDnjRDzey+7HiuMLPxpc9pcQosZ/Ln205mVmNmL5nZI3n29f/xdPeKXogpXtcDE4AhwMvA5Jw0FwELy53XIsv5x8CpwKs97D8X+A3xFLjpwIpy57mfyvk14JFy57MPyjkWODVbPwx4I8//bfLHtMByJn9Ms2N0aLY+GFgBTM9J87fArdn6POC+cue7n8qZ/Pm2W1muBO7J9/9ZiuNZDTXwaUCru29w98+AxcCcMuepz7n7U8Rc8z2ZA/zaw/PAKDMbW5rc9Z0CylkR3H2Lu7+Yre8AXgPqc5Ilf0wLLGfysmP0Ufbr4GzJHYA0B7gzW38AmGFm+R67PGAVWM6KYGbjgD8DftlDkn4/ntUQwOuBt7v9von8J4hvZM2QD5jZsXn2p67Qv0MlOD1rwvuNmZ1Y7swUK2t6O4WozXRXUcf0c8oJFXBMs+bWNcB7wGPu3uPxdPcOoB0YXdpcFq+AckJlnG9vBv4R2NvD/n4/ntUQwPNd8eReET4MjHf3PwL+h66rpkpSyN+hErxITD04Ffg34L/LnJ+imNmhwIPA37v7h7m787wkyWN6gHJWxDF19z3ufjIwDphmZiflJKmI41lAOZM/35rZnwPvufvqz0uWZ1ufHs9qCOCbgO5XeOOAzd0TuPs2d/80+/V24LQS5a2UDvh3qATu/mFnE567LwEGm9mYMmerV8xsMBHU7nb3/8yTpCKO6YHKWUnHFMDdPwCeAGbl7PrD8TSzWuBwEu4u6qmcFXK+PROYbWYbiW7ZPzGz/8hJ0+/HsxoC+Epgkpk1mtkQYjBBc/cEOf2Gs4l+uErTDHw7G7k8HWh39y3lzlRfM7OjO/uZzGwa8T++rby5OnhZGRYBr7n7z3tIlvwxLaSclXBMzazOzEZl68OBPwXW5SRrBuZn6+cByzwbAZWKQspZCedbd7/W3ce5+3gipixz97/KSdbvx7O2L99sIHL3DjNbACwlRqTf4e4tZnYjsMrdm4HLzWw20EFcIV1Utgz3kpndS4zWHWNmm4B/IgaQ4O63AkuIUcutwE7g4vLktDgFlPM84G/MrAPYBcxL7SSYORP4a+B/s/5EgOuABqioY1pIOSvhmI4F7jSzGuIC5H53fyTnPLQIuMvMWonz0LzyZbfXCiln8ufbnpT6eGomNhERkQRVQxO6iIhIxVEAFxERSZACuIiISIIUwEVERBKkAC4iIpIgBXAREZEEKYCLiIgkSAFcREQkQf8PSYhOGx3GyO8AAAAASUVORK5CYII=\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the sample \n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full) # <------ the variance is the aquisition function\n", + " \n", + " # This plots the objective function, with magenta where we want to sample next.\n", + " # Red X dot for global maximum\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Fdt3c-nt7jLz" + }, + "source": [ + "Now we'll combine exploring and exploiting via Upper Confidence Bound" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 4619, + "status": "ok", + "timestamp": 1615738097265, + "user": { + "displayName": "Aaron Gilad Kusne", + "photoUrl": "", + "userId": "07808887398243303382" + }, + "user_tz": 240 + }, + "id": "z0ioUXu97kbR", + "outputId": "7a319c30-82d6-4427-f65f-a38e9616102c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2250322560.755783\n", + "0\n", + "2593018611.292456\n", + "0\n", + "2524041261.8341146\n", + "0\n", + "2944373507.285777\n", + "0\n", + "4862075733.544237\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 5\n", + "\n", + "Dsize = len(X_grid)\n", + "BO_lambda = .1\n", + "BO_number_of_iterations = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # Find the next sample \n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + }, + "executionInfo": { + "elapsed": 1214, + "status": "ok", + "timestamp": 1595534859890, + "user": { + "displayName": "Gilad Kusne", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjREbBmx-qD5T-UVzslvjchdeEN6H0TpFeyVoZGeA=s64", + "userId": "18167624870584705760" + }, + "user_tz": 240 + }, + "id": "duRZYlx17pz-", + "outputId": "d328c68a-4215-44b1-f44a-ea6e601930ff" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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piw47oc5QfF0dtDfVUz3zRLTWfPeKM/B1tZNbUkHFtFlU1c5j6rxTKaqcQrgvwIt//jWv/O1+zGYrZ37yKgrKJ7HwvE8C8L1PLxqorjdbrOSXVTN/yQWce+UNALTtbiCnsGSgvb8vGqelJ8SeZOfM5t7QwFDHDKuZokwHJZkOSrIyKPDYD1nKNpsUNUUeTqzMJneITnpi9EgAFxNSOBZnR3uALS1+GjoCabdqldaa7r4ojR1BGjqD7OzwE9MKrRM44wFqJ5dTluXEFffRun0Dgd4u5i/5xGF3igKjbXt2WSYzSzKP+9L2aEkkND19RkDvHtTe3j2CUrvWmi3vvcXOTR/SuPlDGuvep6e9hUWfuppP3vifrHvzJe6/44ssOPdiLvj8rWTmFu7z/nBfgNad22lu2EZL41aa67dSVTuXc6+8gVg0wjc/MReUIr+siqKKyRRWTmHGSYuprJk9cP3OQIQ9yZXfmnr66A4apXSzUhR47ZRkZVCalUFJpgP7MH8zSkF1nouFVTlyQ3iMSAAXE0YklmBbm5/NLT4aO4LEDqMENB5E4wl2dgap7wjS0BGgN9ke7yBC+3svoTp2cMmnlzLthHlHfa3+L9fZZVlUydCgMRWOxfeZ2Kc7uHcIXCg6dHDvat0DGB3gtNY012+huHraYV87Ggnz/mvP7g3uDVvp3LOTCz7/Nc6+7Dq625q575ufo7ByCkWVUyiqmEJh5WQ8BZW09sVp6u6jqdsYwdD/75XvtlOSZSxpWpqVgdN2YPV5aVYGJ1XnUJXnOuw0i+FJABdpLZ7Q7GgPsKnZx452f9qVtLuDEXa0B6jvCLK7q4+41ljNivJsJxW5TiqyM3jwP5eilOLz3/8VLm/2UV3PbjUxsySTuWVZZDrTtyf5RBWKGsG9uy9CT9CY3KV/AptA5MCJa0ZDJBwiEY/hcLpp293A07/9KS2NW2lvakQnjKr0z3zzZ5x49idoadzGmpeeIq9iKtbCKfTZc2j2GaX1/hvmHJeNsqwMyrIzKM3eN6AXeh2cVJ3D5HyX3DSOAgngIi01dfexcU8vm1v8w5ZaxqNEQrOnx+hEt73dT1eyajLbaaU6z0VlrouSLMc+vcQjoT4ioT7cWTlHfN0cl4255VnMKPYeUU9jkXqx5MQ1vaHk7HT7zacfjIzu/0E0EqZt1w6aG7YyadZCsvIKee+1Z3nox7eSSBjXUiYTuUXlXH3HMlR2GVt3tdDUE6YjYh4I6LkuG2XZGZTnOCnNysBhNZPnsXNKdQ5TCtz7BPJUzRuQrmQqVZE2fKEoG5p62bCnd6BNLh1E4wkaOoJsb/ezoz1AKJpAofEk/GS3baG37nXOuPRqJk2tGniP1po3//5X5p99IQ6nG5vjyNoQK3OdzK/Ilhm0JgCL2USu2z5sx7BoPIEvtHdxnP4FcnyhKIFwDF84Rjg68nn4rTY7JZNqKJlUM/Da3EUf54RTz6FtV/1AFXxLw1aycvNweTP48JlneOfBX6DMFvJmnk7W9FMIFk9nfV8h7+8yFrQp8Ngpy85gdX0nc8qyWDQtj8n5bu69996DLj+bbkE8FI3jC+2dE98XirGwKnvMhtpJABcpF09otrf5Wd/US31HIG2GfIWicba3B9jW6qehM0g8obFbTJRn2djwxK9oXvUPdKQPm8NJ9Qnzqao12rWbttdRWDGZVS88waP33EEsGmHRp5Ye1rUtJsWMYi/zKrKkF/BxxGo2DcyVPpxoPIE/FEsuthInEIkRTD72ReL7LGM7XC96i9VGcfW0IdvgT/rIv1FUMcUI7I1baV71ON1te/jeI2/R6o/y/LN/p6nZQWvBZN5ttPDU2l3kOGBOdRGLak5nRm0tGzZs4IQTTgCMufNra2u59NJLR+eXdJTCsb2rz/VF4wf87oxgHScYjg3ZB2deRRZjtbKsBHCRMj19UT7c1cOGPT1pM+wrEI6xrc3P1jY/u7r60NqYLOOEEi+T892UZGXQtnMb7+1YxWU3fYvJs08ip6hsYJGRvoCPZV9fijcnn46mRqbNP50zLvrMiK/vtJmZXZbFnPLMITsSCWE1GwujZB8kyPcLx+KEIsbSqf3Lp4aiyWVVk4/hWIJIrH99+gSu8nIKikv36YuSiMcxmc2UZluYlW+hbtXLNL9xPz1kYCubRWzKQl4Om3i5DvTib2DZ8WXa2oz56fPy8lixYsVAlfrRiiXXeY8k13zvT39/HgbyFjWWjg31Lx0bMfKeTh1jU7keeDnwIFAEJIDfaK3vPth7pA08/Wmt2d4e4MNdPWlT2g6EY2xt9bOl1c/u7j7AGJY1Jd/N5AI3hR77AVXXwy1DqbVm/Zsv8fivfoyOx/k/yx7Dk517yDTkuGzMr8hmRrHMhCXGB6010bgmGk8Qi2uiiQTxhCaW0MTjmlgiQSQapX7HDjo7OqmqncvanV3c85sH2frE3SRCPgBMDg+T/+0WrvnM5dQWe1j76vPkFBRROXkaGW4PiYQmoSGhNQmticU18YQmro1rxQZdv39fKt24ePKoDtUcr23gMeBWrfW7SikPsEYp9YLWekMK0ySOkVA0zvqmHt7f2TMwK9R4FgjH2NrmZ0vL3qCd67JxcrJTTq7LdkDQ3rVlPWtefpoLrr0Fi3Xo0o9SihNOO5eahYuIx6LYMw4+5KY0K4P5ldnSo1eMO0opbBZ1yA6TNSV7R1VM8Sa494PHSIR8ZGXnGNXVvh7qn7+fX+VMxezKItLsp2/HI/TtWIsj3EFhWTULzr2IBecak9j0+XvJcHuPad7SRcoCuNZ6D7An+dynlNoIlAISwCeQDn+YtY3d1DX3jvvhX33RONta/Wxq8bG7qw+NEbRPqc5haqHnoO2OfQEfD/zoZmKRMOdccT3uzIP3JrdYbQcJ8jAp382CymyZHENMKMuXLx92+dlzHNuJTjmPzRmK9qLJZJ56GSoeIdS6lfo+G1OCEcxhH3dcfhrenHwKK6dQWGGMZZ82/zTySipSnLuxNy4a0ZRSVcA84O3UpkSMloaOAO82dtHQERzX1eSRWILt7X42Nfto7AyS0JCVYWVhVQ7TCt0j7iC2/K7v0NW8my/+7MFDBu/hWEyKmmIvJ1ZmH/RmQYh01d/LfPAwshUrVgwMIwtF47y1vYNV9Z00dASNRYjcLnb3RXngzQY8dhPzvvpr4rs30LXxdd55/m9EQkGuuPXH5JVUsGfHZh6/94cDk9QUJieqOZrhmeNZygO4UsoN/A24WWvdO8T+64HrASoqjr87rHQST2jqmnt5t6GLdn8k1ckZVjyhaegIsKnFx/a2ALGExm23MK88m2lFbvLdB7ZpH8zmtW/y3qv/4GNLv8KkE4Zsqjoom8XE7LJM5lVky/rLYsLbf6hYQUHBwGsOq5nF0wuYW57F61vb2dLiB4zJkBqSUw7vipURnVyKZcp5LMh0UOiIU5LnQWtNuC9AJBxi9YtPEA4GBq5x40/+wNR5p9K0vY7t69ZQWDGZosopuLNy07ppKqUTuSilrMAzwPNa6/93qOOlE9v4FI7FWbe7h7WN3eN2qU6tjclV6pp9bGnxEYolcFhNTC3wML3IQ0mm44j+kbXW3P2Vy/B1d/DN3z+L1TbyIV0uu5l5FdnMKpX5yYUYyq6uIK9ubqO1NzzwWjyhaeruo6EzSGNHkDa/sc9lM1OR66Qq10V5dgbhnnaaG7bQ0rCNE8+9CHdmDiuW/56nf/vTgXO5vFkUVkzh6m/fjSc7j56OFpQy4cnOO+LAPpad2FLZC10BDwCdWuubR/IeCeDjS18kztrGLt7b1X1Yk0eMpa5ghLo9Puqae+kNxbCYFJPyXdQUeanIcWI2Hf3dd+vO7fR2tTNl9kkjOj7LaeXEymxqi73So1yIQ9Bas76pl39tax9yuGkgHKOh01hboLEjSCiWQGFM6VqZDOgFXjsmpdBa09vZSnP91oFFYFp37eDGn/wvZouVx5b9gNeffIgMT6axCEzFFIqqpnDmJ5eOOKAfLwH8DGAl8CHGMDKA/9Ra/2O490gAHx/84RhrGrpYt7tnYEnC8aQvGmdzs4+6Zh/NvSEUUJ7jpKbIw+R896hNM6q1Pqy79HyPnYVVOUwtcGMahRsHIY4n4Vicd3Z0sraxe9ihYgmtaekN0dARpL4jQEuy5O6wmqjMcVGZ66Qy1znsHAq7tqxn+7o1tO7cZiwG07AFq83Bdx5+FYA///c3adtdP9C2XlQ5hcKqqWTl7V0t7rgI4EdCAnhq9YairK7vZP3u3nE32UE8oanvCLBxTy872gMkNOS6bcwo8jK9yHNM2pZf/POvaax7n6W333XQJT5LszJYWJ1DtazSJMRR6wpEeHVzGzvaA4c8NhiJ0dgZHOgQ15dcU6HAY6cq1wjoRV7HsDfUWmtCQT8ZLg8AL/zpXjavfZOWhq34ezoBqKiZw833PALAPx9axu9+cjulRaMzKQ1IABdHqacvGbibelM+ScJgWmva/GE2NvnY1OKjLxonw2qmpsjDjGIv+Z5jN8Wov7uTH11zLlPmnMznv/erIY+pznOxsDqHUhkKJsSo297m59XNbSNeM0FrTasvPFA6b+4JoQG7xURFjnMgoLtGeLPv7+6kuXErOh5n6rxT0Vpz5+c/xuYN68jyjN7N+nidyEWMc75QlHd2jL/AHYzEqGv2sXFPL+3+CGZltGvPKPZSmeMck+rp5x/6JdFQiAs//7V9XjcpxdRCNwuqsinwOI55OoQ4Xk3Kd1OR42RNQxer6jsPOc+EUopCr2NgudNQND6odB5gS6vR4z3fbR9oOy/KdAzbT8adlcOUrJP2Of9t9z+PwzF2//cSwMUB/OEYq3Z0sm53z7ipKu+vIt+QXPAkoaHQa2fJ9HymFXrGtBf3zs3rePOZv3DK+ZdRWDEZALNJUVvsZUFVNllOGcMtxFiwmE2cPCmXmmIvr25uY1syCI+Ew2pmWqGHaYXGELR2f4T6jgANHUHWNHaxuqELm9lEeU7GQOnc4zhweuRUkgAuBvRF4qyq7+SDXd3jZta0Dn+YDXt62bjHqCJ32szMKzfmBE/VKlx///3/4M7O5fzP/R9sFhOzSjOZXyljuIVIlcwMKxfNKWFHe4AVda2HPV2zUop8j32go2k4FmdnZ99AQN/WZrS357psyY5wLkqyHFhMqR1FIm3ggkgswbuNXaxp6BoXvcrDsTibW/xsaOqluTeESRntybXFXipzXaMy9OtoBHq7CHQ0c/G5ZzC3PEvGcAsxjkTjCVbt6GR1Q9eoNP1prekMRAbazpu6Q8S1xmJSlOc4qcwxerb317wdL4uZiBSLJzQf7OrmnR2dBCOpXc5Ta01Td4j1TT1safUTS2hyXDbOnJpHTZFnXCyd2dmym7LSUs5aOI1ZpQuxyhhuIcYdq9nEaVPyqCn28nJdKzs7g0d1PqUUuW47uW478yuzicYT7Orqo6EjQH1HcKA3fGaGlcocJzXFHj5+QvFoZOXQaZMS+PFHa82mFh//2tqR8pXBAuEYG/b0sqGpl+6+KDaziWmFbmaWZFLoPbwpTY8llynGj677BAtPnM+jjy5PdXLGpS03bwFg6l1TU5wSIfba0NTLa1va6DtGhZR9pnntCjKt0MPfv3LmqJ1fSuBiQGNHkJVb952acKwlkh3S1jf1siO5JnhJloOF1cYkJ+OpZFuU6WBhVTZ3/+A/aazfzgP/+/tUJ2nc8r838g5EQoyV2hIv1XkuVm5pY8Oe3lFfXCnLaSPLaWNOeRaxRIJPzSsd3QschATw40S7P8zrW9pHNPnBsdIdjAyUtgMRo0Pa/IpsZpZ4yR5nPber8pwsqMwh32nim9/8Jr/85S/5yle+wuLFi1OdNCHEYcqwmfnIzCJqS7y8tLGVzsCxWWzJYjJRlu08Juce8npjdiWREoFwjDe3dbC+qZdECppLYvEE29oCrGvqYVdXHwqozHWypDSTqnHQIW0wk1JMK3Rz4qAx3FdddRUPPfQQX/7yl/npT396iDMIIcazsmwnnzm5gnfqO1ldPzqd3FJJAvgEFYsneLexm1X1nSnpWd7uD7N+dy8bm3sJxxJ4HRZOnZRLbbEXt2N8/dnFQgFa33+FilwXPe1e3q53cfLJJ1NQUMDttwbCLvwAACAASURBVN/OlVdeyfnnn5/qZAohRoHFbOK0yXlMK/Tw0sYWmrpDqU7SERtf36RiVGxu8bFySzu9Y9xBLRJLsLnVx/rdxvAvs1JMzncxszST8uyMI+6QlojHMZlHf6iW02ZmVqmXW666mrffemuffVdccQUPP/wwNTU11NTUjPq1hRCplee2c9mCct7f1cMbW9vHxRDawyUBfAJp7Q3xyqY2dnf3jdk1tda09IZZ19TD5hYf0bgx/GvR1Dxqirxk2I4u8NZvfI8/fP/LZOUVceF1X2PKnJMPOKa3oxWz1YrLmz2ic2Y7rcwftJznrbfcgtlsZsGCBQQCAYLBoxt2IoRID0op5pZnMSnfxYq6Vra3pa6P0JGQAD4BBCMx3tjawfqmnlHvYTmcUDROXbOP9U09tPsjWEyKaYUeTij1UuR1jMrwr/dfe44//eTreHPy6e1o5d6vL+WCz9/KOZdfT29nG++/9hzvvfoPdqx/F5vDycev+Spn/ds1w56vNDuD+RXZTM53UV9fz9+feZWLL76YSy+99KjTKoRIX16HlYvnllLX3Murm9pSPi/GSEkAT2OJhGbtzm7e3tFBOHrsq3+01uzu7mPd7l62tvmJJzQFHjtnTy9gWpEbu2V0q7lzisqYOu9Urvz6ndgcTl5/8iFmnX4uAC//9be89vgDFFdP4+NXf5WGuvdp391wwDn6FxeZX5FNUabRMa2uro5zzjmHeDzOueeei8sly3wKIaCmyEtljotXNrVS1+xLdXIOKaUTuSil7gcuBFq11icc6niZyGWvxo4gr2xupcN/bIZDDNY/2cr6pl56+qLYLCZqijycUJI56kt2xiIR1r7ydxZ+5FMHPa6zZTfRcGhgMRGtNYl4DLPFSv2GtXz4+nN867s/ZMHkAryDFiCoq6tj8eLFaK158cUXmTVr1qim/3i2dvFaAOa9Mi/FKRHi6G1v8/NyXSu+UOyw3nc8TaX6B+CXwIMpTkfa6A1FeW1zG1taju2kGYmEpqEzyPqmHra3G5OtlGZlcHJ1DlOO0WQriXich+78Gh+8/jzl02dRVDll2GNzCvedLEEphdliJcdlo6GljhWP/oHQ7k0sX74cb6lxbF1dHUuWLAFgxYoV1NbWjnoehBATw6R8NyVZGazc0s663T2pTs6QUhrAtdavKaWqUpmGdBFPaNY0dPHOjo5julJYT1+UDU29bNjTiz8cI8NqZn55crIV17GbbEVrzfK7v8MHrz/PxTfcdtDgvT+ljLHl88qzqcx1cvVpd3Da3Blce+21nHjiiTzyyCMsWrSIRx99FK01L7/8sgRvIcQhOaxmzqstZHqhhxc2toz5yJ5DSXUJXIxAQ4exRF5X8Nj88fRPtrK+qYedgyZbOWtaPtV5YzPZyjO//xlvP/co5336xoN2RBvMZjFRW+JlTlkWOfvdXFx22WXMnDmTT33qU5x99tm8+uqr3H777Vx33XUUFRUdgxwIISaqilwnV51SyRtb23l/V/eYdRY+lHEfwJVS1wPXA1RUVKQ4NWPLF4ry6jGsLm/zhVnf1ENds29gspVTJuVQW+wd04Xrd2/byCvLf8/pn/g0H7v6q4c8PtdtY05ZFjOKvdgsw1flz5w5k1WrVnHPPfdwyimnoJSS4C2EOCI2i4klNQVMKXDz4sYWuo9RgepwpHw1smQV+jPSiW0vo3d5F29tH/1Z1MLROHUtPjY09dLqCxuTrRS4mFlydJOtHK3t61ZTVTsfk2nogGw2KaYUuJlVmkl5ztjNNSxGTjqxieNFNJ7gja3tvLfzwNL48dSJTeynqbuPl+paafeN3mphWmt2dfWxvmnv8K88t42zpuVTU+QZ1T+2kUrE4zxx34+ZsXARM046i0knDPn3SWaGlRNKM5lZ4sVllz9XIUTqWc0mFk8vYGqhhxfWNx+z5s1DGfYbUSn1R631VUqpr2qt7z4WF1dK/RlYDOQppXYBd2itj8v1GkPROCu3tI/qZCy9fVE27jE6pPWGYtgtJmqLvcws8VLgSd1a29FImIf+61Y+fOMFnJ4sZpx01j77TUoxKd/F7LJMKnKc42ZNcCGEGKw0K4PPJNvGhyqNH2sHK9KcqJSqBK5VSj0I7PMtqrXuPNqLa62vPNpzTAQbmnpZuWV0Zv+JxhNsa/WzYU8vO7uMKVUrcpycNjmPyfkuLCleazsU9PO7b/0HO9av4ZM33s6iTy0d2JfjsnFCqZeaIiltCyHSw/6l8bF0sG/J+4DngEnAGvYN4Dr5ujgKXYEIL9W1srPz6Obe1lqzpyfExj29bG7xE4knyMywcsqkHGYUe/eZyCSV4vEYf/zxLdRvWMtnv/k/zFtyATaLiWmFHmaWeCnJykh1EoUQ4oj0l8bNY1hjOGwA11rfA9yjlPqV1vrGMUvRcSCe0Lyzo5PV9Z3EjmI92t5QlLo9Pjbu6aW7L4rVbHT0qi32UpqVug5pw1Eocosr+Lebvs0nL7mU2hIvk/OPzaQwQggx1sb6u+yQ9ZQSvEfXrq4gL21spTNwZFOgRmIJtrUZVeS7klXkpVkZLKwyZkg72LCqVIpFIpTkebjr7ruYVugZ02FqQggxEUlD4xg5mk5qiWQv8ro9Ri/yaFyTmWHl5GqjijwzY/wGwyynlbb1b/LLH93GSy++yNTKnFQnSQghJgQJ4GNgU7OPVze3EggfXie1dn+YumYfm5p9+MMxbGajvXhGsZeSzNFZsvNY8DgsTCv0MDkvgxeeepTv33ITNTU1lJSUpDppQggxYUgAP4Z6Q9HDXiTeH4qxqcVHXXMv7f4ISkFVroszp+YxKS/1vciHk+20MqXAw5QCN0WZDpYvX84XvvUtNm/ezIIFC3jqqadk2U4hhBhFEsCPAa017+3s5l/bOkY0k1o4Gmdrm59Nzb6BoV9FXgeLp+UztdCN0zb+PialoMDjwBXtZvPq12gK9rKhu5tbb70VMh2sXLkSu93O448/zsUXXzxuawuEECJdjb/IkOY6/GFe3NhCU3fooMfF4gl2tAfY1OKjviNIPGG0a59UnUNNkYds57Fb+etIWc2K8hwn1XkuyrPs/OG39/Htb3+bQMCoYXA4HFx55ZUUFhZy55134nA4hp0aVQghxNGRAD5K+oeGrarvJD7M0LB4QtPYGWRzi4/tbQEi8QROm5lZpZlML/JQmMLZ0YaT47JRmeukKtdFWXbGQBX+9u3bue222zjnnHP42c9+RnV1NQ6HY+B9TqfMVy6EEMeSBPBRsKenjxc3tNDuP3BoWCKh2dXdx+YWH9ta/YRiCewWE1ML3Uwr9FCWnYFpHAVtl91MebaT8hwnFbnOfSaBSSQSPP3003ziE59g0qRJvPfee0yfPn3c3XQIIcTxQAL4UYjEEvxr24Fz4CYSmt3dfWxp9bO11U9fNI7VrJiU52ZaoZuKXCeWFFQtx+MxXnz4Ploat1ExfTaLL/kcLruZN/72e5YsOpMLP7KEPI9jyPf6fD6uuuoqnnzySV5++WWWLFlCTU3NGOdACCFEPwngR6ihI8CLG1vp7TNWoekvaW9p9bGtNUBfNI7FpKjOczG10E11bmp7kGuteeLeH/HG0w9TWlHN3JpJXHt6NdFgD7de8AsevOe/mDx5MkuXLuXiiy9m5syZWCzGn8eOHTu46KKL2LBhA3fffTeLFy9OWT6EEEIYJIDvZ9myZVx66aUUFBQA0NrayvLly/nSl74EGBOyvLq5jQ1NvQNt2ltb/Wxv9xOKJvYG7QI3VXmulE0TqhRkZVgp8Doo9Np54sFf88bTD/P1r3+dn/70p3sPdOaxZ88eHnvsMR544AHuuOMO7rjjDv70pz/x6U9/mg8++IDFixejtea5557jvPPOS0l+hBBC7EsC+CDLli3jpptu4t5772XFihUALFmyhA0bNgDwkUuW8vz6ZjY09bKtLcCOjgCRWAKb2UR1nospBW4qc51jHrQdVjO5bht5bhu5Ljv5Hjt5bvvAtKp+v58Hf3cfl1xyCXfeeecB73e73SxdupSlS5eyc+dOVq5cyZIlSwB48803KS0t5bHHHmPq1Kljmi8hhBDDU3qsFzA9CgsWLNCrV68+ZudvbW0dCNj5+fkAtLW1MXnqdOZc+Q02+8wEbLkkUGRYzVTnuajOsRNv3sSWNSupX7+WMz95FXMWfWzU02azmPBmWMnMsJKVYSXbaSPLaSXHZRvR0pt79uwhKyuLjIzDW/ErHo9jMpmko5o4pLWL1wIw75V5KU6JEBOHUmqN1nrBUPtSWgJXSn0MuBswA7/TWh9YPDyG/vLo4+xpakLHo8RjUWKxGDfccAM/+MEPaGtrA8Ds8BD6yO2sCecQ62shO7CFj5yzhAKXmfu+cTUv79hEuC+IyWyhoKya6pnzDysNJqVw2sxk2Mw4bWacNgtuuwW3w3j0OCx4HVYybOYRnU9rzbZt23jttddYuXIlWVlZ/OxnP6O4uPiwfz8AZvPIriuEEGJspSyAK6XMwDLgPGAXsEop9ZTWesNYpeF7P76TurXvGD+YLTjKZ5E3axFdwb3DwTSakuA2zp5hY9G/n47JbMHl8dLSvAeP086siy9l4RmLmX/KmbjcHmNImE7w02/dwqVXfZ5Zc+dhM5uwmBVWswmb2YTdasJuMWO3mLBbRq90u3z5cm699VZ27twJQF5eHmeddRZNTU2Ul5ePyjWEEEKMD6ksgZ8EbNVabwdQSv0FuBgYswB+7R2/5N2dvez2J2jqjRL2ddHyl/8kFujBk5WL1azo7Ggn8PZybrlzxUDHNgCm5nPJqjeHPG99fT0fvL2SF556lAsuuICcnByysrL46le/Snl5OatWreLpp58mEokwd+5cLr/88lEJ4tFolNLSUm6//XYWLVpETU2NVH0LIcQElcoAXgrsHPTzLuDksbr4z57fxLI3WwFj9azaYi99rSvZ1d5IbW3tAZ3YBvdEP5Sqqireffddbr75Zt577z26urro6uri6quvpry8nNWrV/ODH/wAi8VCLBbj/vvv57e//S2VlZUD5+ju7ubXv/41K1eupKKignvvvReAJ598kubmZtxuNx6Ph40bN+L1ernxxhu58sorueKKK2T6UiGEOA6kMoAPVTQ8oEedUup64HqAioqKUbv4mVPz2NEeIMdlI8dlZW55NqffeBq/nVe2zzCyFStWHFbw7peXl8dDDz20z2v9HQZvuOEGbrjhBrTW3HfffXzjG9/g4osvZu3atezatYu77rqL3/zmN/j9fmprawmHwwPn+PnPf86rr766z3mvuOIKbrzxRpRSUuIWQojjRMp6oSulTgW+q7X+aPLn2wC01v813HtGuxf6I6t3EgzHOLe2kLLs1M3dXV9fT3t7OwsWLOB3v/sdN9xwA1dccQVf+9rXmDt37j7H+v1+fD4fPp8Pv9+P2Wxm9uzZErhFykkvdCFG33jthb4KmKqUqgZ2A1cAnx7LBMwuy2Ryvjtlk630q6qqoqqqCoDPfvaznHfeeftUpw/mdrtxu91H3KtcCCHExJCyAK61jimlbgKexxhGdr/Wev1YpqGmyDuWlxsRh8MxbPAWQggh+qV0HLjW+h/AP1KZBiGEECIdSXdlIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg2lJIArpS5VSq1XSiWUUgtSkQYhhBAinaWqBL4O+DfgtRRdXwghhEhrllRcVGu9EUAplYrLCyGEEGlP2sCFEEKINHTMSuBKqReBoiF23a61fvIwznM9cD1ARUXFKKVOCCGESG/HLIBrrc8dpfP8BvgNwIIFC/RonFMIIYRId1KFLoQQQqShVA0j+5RSahdwKvB3pdTzqUiHEEIIka5S1Qv9ceDxVFxbCCGEmAikCl0IIYRIQxLAhRBCiDQkAVwIIYRIQxLAhRBCiDQkAVwIIYRIQxLAhRBCiDQkAVwIIYRIQykZBy6EmHjcc92pToIQxxUJ4EKIUTH1rqmpToIQxxWpQhdCCCHSkARwIYQQIg1JABdCCCHSkARwIYQQIg0prXWq0zBiSqk2oGEUT5kHtI/i+cYryefEIvmcWCSfE8to57NSa50/1I60CuCjTSm1Wmu9INXpONYknxOL5HNikXxOLGOZT6lCF0IIIdKQBHAhhBAiDR3vAfw3qU7AGJF8TiySz4lF8jmxjFk+j+s2cCGEECJdHe8lcCGEECItHRcBXCn1MaXUJqXUVqXUN4fYf41Sqk0p9V5yuy4V6TwaSqn7lVKtSql1w+xXSql7kr+DD5RS88c6jaNhBPlcrJTqGfRZfmes0zgalFLlSqkVSqmNSqn1SqmvDnFM2n+mI8xn2n+mSimHUuodpdT7yXx+b4hj7EqpvyY/z7eVUlVjn9KjM8J8pv33bT+llFkptVYp9cwQ+47956m1ntAbYAa2AZMAG/A+ULvfMdcAv0x1Wo8yn4uA+cC6YfafDzwLKOAU4O1Up/kY5XMx8Eyq0zkK+SwG5iefe4A9wBuH+kyB+4BvH+S8/wn87hil+YcY41+bjyKfm4f4/zzoZ3qoPI+HLfkZuZPPrcnP6pT9jvkicF/y+RXAX1Od7mOUz7T/vh2Ul1uAh4f6+xyLz/N4KIGfBGzVWm/XWkeAvwAXpzhNo05r/RrQeZBDLgYe1Ia3gCylVPHYpG70jCCfKaeUekUp1aWUsh/pObTWe7TW7yaf+4B3gO/ud9gBnynwPa31D5LpWKyU2rXfeX+stR71Eo9Sqhy4FSP4Fo30fUPkcyNQepDrXKOUen2/c9zQn+fxKvkZ+ZM/WpPb/h2QLgYeSD5/FDhHKaXGKImjYoT5nBCUUmXABcDvhjnkmH+ex0MALwV2Dvp5F0N/Qfx7shry0eSX0UQz0t/DRHBqsgrvWaXUzLG8cLKa7EyML62LRvGc8zBKM4ONp8+0EujQWrce6QkOkk9IfqYYJR7nkV4jlZLVre8BrcALWuthP0+tdQzoAXLHNpVHbwT5hInxfXsX8A0gMcz+Y/55Hg8BfKg7nv3vCJ8GqrTWs4EX2XvXNJGM5PcwEbyLMfXgHOAXwBNjfP2lwFvAH4CrB+9QSuUqpZ5SSvUm2wl/0F+aVEpVKaW0Usoy6PhXlFJfAv4GPAn8I/m6Ukr9HDgPeC75RXhC8m13KKV+qJRyYVSvlyil/MmtRCn1XaXUQ4OucVGyrbI7eb0Zg/bVK6W+ljx/T7I9z7F/hpVS5wIvDLrWH4Yq/SfPd27y+XeVUo8opR5USvmUUhuT6b1Za92bbBt/TBnTJz+GUYK5AqgB5iWv05081x+UUj8cdJ0vJNsdO5O/75JB+7RS6gal1JZkLcmysSrlaq3jWuu5QBlw0qDPbCB5Q73t2KdsdI0gn2n/fauUuhBo1VqvOdhhQ7w2qp/n8RDAdwGD7/DKgKbBB2itO7TW4eSPvwVOHKO0jaVD/h4mAq11b38Vntb6H4BVKZU3hklYCvwpuX1UKVU4aN8yIITR7nttcjsYBdyYPNfgL4qPYPQFeBj4AnA50IHxmQYBtNYB4ONAk9bandz2+byVUtOAPwM3A/kYNwhPK6Vsgw67DPgYUA3Mxmi/3IfW+sX9rnXAMcO4CKNJKw+wAxla68eUUmbgGYx1D6qAEuCPWuuNwPVAGCMAZO1/QqXU2cB/JdNdnDzHX/Y77EJgITAnedxHR5jeUaG17gZewfi9DjbwP5q8kctknDcXHcxw+Zwg37enAxcppeox/r7OHnxjnHTMP8/jIYCvAqYqpaqTX0xXAE8NPmC/tuCLMNrhJpqngKXJ0tspQI/Wek+qEzXalFJF/SUqpdRJGH/jHWN07TMwqpIfSd6ZbwM+ndxnBv4d+I7WOqC1XsdBSh7JPEwH9mit/99+u6MYHb4+xLhhqEtetwfoO4wkXw78XWv9gtY6CvwMyABOG3TMPVrrJq11J0bJae5hnP9QXscodf82+bz/ZuckjKD99eSNSBbwRnJfdfJxuM/0M8D9Wut3k0HiNozq96pBx9ypte7WWjcCKxjdPA1JKZWvlMpKPs8AzsX43AZ7ir21NpcAL+tkD6h0MZJ8ToTvW631bVrrMq11FUZMeVlr/dn9Djvmn6fl0IekN611TCl1E/A8Ro/0+7XW65VS3wdWa62fAr6ilLoIiGHcIV2TsgQfIaXUnzF66+Ylqy7vwOhAgtb6PozS1fnAVoxS2udSk9KjM4J8XgLcqJSKYQSzK8bwS/Bq4J9a6/6ViB5OvvZzjBKuhX3brA+2st7pGAEtmmxPzAF8Sqkbkvt/mTx3LUbg3pn8+abDSG/J4DRorRNKqZ3s247ePOh5MPme0dKMkc+rML7kHcm8Ppu81nUYPcwHf6ZuYNNBPtMSjGYUALTWfqVUB0ae6gddt18wec5jrRh4IHkjZ8K4yXtmv++h3wN/VEptxfgeumIM0jXaRpLPtP++Hc5Yf54TPoDDQFXqP/Z77TuDnt+GcaeetrTWVx5ivwa+NEbJOWZGkM9fYgS3MZUsbVwGmJVS/QHCjtHbfw6wDuMLq5y9JZKKQacIJB+dQK/W+nWl1CbgZ1rr3ymlrgGuS96k9LtHKVUAPAKs1Fqv3q8591A3Lk3ArEF5UMn07R5Jng8hwKDOZskv9AOWRNRav568dBWwA1iAUb39eZK9ewd/pkqpqzGaDYbThFEb0X9dF0bHodHI0xHTWn+A0UFv/9cHfw+FgEvHMl2jbYT5TPvv28G01q9gNBWM+ed5PFShCzEWPgnEMUrEc5PbDGAlsFRrHcfojPVdpZRTKVXLoE5uWus2jCDzWWX04r0WmDzUhZRSC5VSJyulrBiBMpS89v5agFylVOYwaX4EuEApdU7yXLditC//6zDzPpTNGCXqC5Ln/hbGDc1IvIMx7v1OpZRLGZODnJ7c1wKU7ddOP9jDwOeUUnOVMYzvxxhzHtQfcU6EGKckgAsxOq4G/ldr3ai1bu7fMEqOn0l2YrkJo7q2GaOX+v/ud44vAF/HaN+dyfCB1IvRbtyFUQXegdF+vQ+tdR1GJ7XtyuhlXrLf/k3AZzF667cDnwA+oY35Eo6K1roHYyKL32HcmAQwOvWM5L3xZFqmAI3J912e3P0ysB5oVkq1D/Hel4BvY/Tc34NxE5SOVdFCHJIsZiJEigyqFj8j1WkRQqQfKYELIYQQaUgCuBBCCJGGpApdCCGESENSAhdCCCHSkARwIcSwkkPWPkgO5XIpY970/ee2FkKkQFpVoefl5emqqqpUJ0MIIYQYE2vWrGnXWh8wCRKk2UxsVVVVrF69OtXJEEIIIcaEUmrYKZelCl0IIYRIQxLAhRBCiDQkAVwIIYRIQ2nVBi6EGAOxGOzaBdu3Q0sL9PVBMGg8hkIQiUA0ajz29UFHB7S3s+XDRRCOMLVwOdjte7eMDHA6jUeHA7SGeNzYEgmw2cDlMo5xOiE7G/LyID9/71ZQYByz72prQhzXJIALcTzRGjo7jQC9c6fxuHu38bhrF9TXG1ssNvw5lAKr1Qi8Dgfk5kJeHn49GZwWWFgP4bCxhULG1tW19wZAKTCbjc1kMm4EgkEIBIwtPtTCahg3AAUFUFQEpaV7t7IyqKw0tpIS47xCHAckgAsxEcVisG0brF8P69bBhx8az+vrjUA6mMlkBL6yMpg/Hy69FCZNMrbiYqPkm5GxtwRtGeZrY/Fa4/Hhgy7ZfnBag98P7e3Q1mZs7e3Q2mpsLS2wZw9s3Agvvgi9vfu+32Ix8lFeDhUVxlZWBoWFe7fiYnC7jzyNQowTEsCFSHd9ffDOO/D660awXr8eNm0ySrZglHgnT4aZM+HjHzeCW1nZ3kBXWDh8UB5rSoHHY2zV1Yc+3u83ahIaGoytsdF43LkT3ngD/vrXoWsTysuhttb4ndTWwrRpMGWKUbqXanqRJsbJf60QYsR274ZVq4ygvXKl8dgfrKurjYD08Y8bjyecADNmGG3LE5HbbeRvxoyh98fje0vu/duuXUYJfv16ePVVo1q/n8tlBPJZs2DuXJgzx3jMyxub/AhxGCSACzHebdsG//iHUWW8apVRhQxGqXnBArj5Zli0CE4/HbKyUpvW8cZsNqrMi4uH3h+PGyX2LVtg61bjcfNmWLECHnpo73ElJUYwnz3beKypMWo1vN6xyYcQQ5AALsR4EwrBa6/Bs88agXvzZuP1yZPhnHNg4UJjmzvXaJcWR85s3tve/9GP7ruvvR3efx/WroUPPjCev/ii0QO/X36+UWKfOxcWL4azzjKaJIQYAxLAhUg1rY3S3z//aQTtFSuMXtl2OyxZAjfdZFSJT5mS6pQeX/LyjBumc87Z+1okAnV1e0vs27YZN1h//CP86lfGMTNmwMknG+3r/W3sFRXSti5GnQRwIVKhvd0I1i+9BC+/bHS6AqMkeO21RsBevHjitl2nK5vNqEafPXvf16NRePddo039lVfguefgD3/Yuz87G8480yihL1pklNjHS8dBkbbkL0iIsaK1UTX+61/D3/5mlOZyc41S9m23GSW9qVOlpJaOrFaj1H3yyfCNbxivdXTAhg1GZ7lVq4zP/qmnjH1uN5xyitFv4YwzjPd5PKlLv0hLEsCFOJa0NsZg//3v8OCDRvVrZib8x3/A1VfDvHnGOGwx8eTmGqXuM8+EG24wXmtqMkYOvPaaMczt+983/kaUgunTjXH4J55odE486SRj3L0Qw5AALsRoi8XghRfgiSeMTmi7dhmvn3IK/O//wmWXSdX48aqkBC6/3NgAenrgrbeM7d13jcD+8MPGPpvN+Jvp7xx3yinydyP2obTWqU7DiC1YsEDLeuBi3KqrMwL0H/9oDPXyeOC88+D88+FjHzOm/ZzA1iZnYpv3yrwUpyTNm4OdTwAAFQRJREFUtbQYVe797envvmvMGW+xGKXzM84wtlNOMSaeEROaUmqN1nrBUPukBC7E0ejpMWb7+sMf4M03jWFJ558Pn/scXHCBUYoS4nAUFsKFFxobGH9jb7xhzLS3ciX84hfwP/9j7CsrM6raTzrJ6By3cKF0jjuOyCctxOHS2ug5fv/98Nhjxrjt2lr47/+Gz35WSkVidGVmGjeF559v/BwKwZo1xgx8/TPyPfaYsc/jMarbzznHqHqfNUsWd5nAJIALMVKhkDE71113GT2Ls7KMIV/XXGN0OpLe42IsOBxG7/XTT9/7WlubUd3+0kvG9swzxuseD5x2mlHlvmiR0dvdbk9JssXokwAuxKG0tcGyZXDvvcbzOXOMKvPLL5dewmJ8yM83VpG79FLj58ZGo7r99deN7dvfNl53OPZ2jFu82HguAT1tSSc2IYazY4fR1nj//caKXxdeCLfcYnzxSWn7/7d371FWl9Ufx98bGS5JBAktjQFvsFJ+SYATYmoqSQ6SiAsv4IWAEgVNMwn1l1mwvOCNpZhpg5BBiuYNadRBFEhRQow7gUQYOorCDxVFWcjA8/tjH4M1zuAAZ85zvt/zea11ljNzvs7sh+/M2ee57ecLtIgtj73/vify2bP9sWiRTwU1aQLHHuu1CHr29B66frfzyu4WsSmBi1S3bBncfLMvTmvQAC68EH75Sz/AQmqlBJ4gH3zgPfRZszyhL17sCb1dO+/Fn3uupoXyhFahi9TFokVwww1eJa1ZMz/l68orU7/9SwpQy5bQp48/wHvo5eXwl7/AuHE+8lRc7D3zz/ehH3aYEnqeUQIXWbwYrr/ey1w2b+7zhVdc4ZW0RArB178OAwf644MPdhYhqqjwugbgvfM+faBvX18QV1QUN2ZBNRylcL3xhm/76tLFK2CNGuVnQ48ereQthatlS69j8OijXlRm+XJfwNm5M9x/P5xyCnzjG/638/DDnvAlCvXApfC8+y7cdBPcd5/vkR05Eq6+2l+4RGQnM69x0LEjDBsGn3yys0xweTk8+KD/DX3ve164qG9fr+kuOaEeuBSOtWvh0kvhkEO8RzFokJ/pPGaMkrdIXey/vyfpBx7w3vkrr8A118DHH/t/jzjCk/2vfuXFZhK0SDqJlMAl/das8SHB9u1h/Hgf+luxAsrKtEBNZG/tt59vQbvhBli40M+0v/tur0R4yy2+iv3QQ33r5Zw5Xs9dskoJXNLro498aPzII31L2PDh8O9/+zxehw6xoxNJl+JiuOwyLzP87rteP+Hb3/YiSCec4G+WL77Yj9bdsiV2tKmgBC7ps32797Q7dIBbb4XzzvOh8rvugrZtY0cnkn6tWvmoV3m5Vy986CEv5/rQQ14QqVUrOPNMT/LvvRc72sTSIjZJlxkzYMQIWLLEa0U//bQP5YlIHM2bw4AB/ti61QvHTJvmj6lTfaFct25w+uleQKZ9+9gRJ4Z64JIOy5ZBr17wwx/60PnDD3ulKSVvkfzRuDGceqoPq7/5ps+djxrl8+PXXeejZqWlnty3b48dbd5TApdk27jRt7d85zt+Hvftt8PKlf5OXlWjRPKXme8t//Wv/UjUykpP5kuXwhlneOW3UaNg1arYkeataAnczNqa2SwzW2Fmy83silixSALt2OGL0b71LZ/vvvRSX6B21VU6XUkkidq08YqI//kPPPaYD6WPGuV/40cfDbfd5ivd5b9i9sCrgKtCCEcC3YFLzaxjxHgkKRYs8MIRF13kK8wXLPD6zaqeJpJ8RUXQr5+fa/7mmzB27M6CS+3aeX32CRPgww9jRxpdtAQeQlgXQliQ+fhjYAWgTblSu08/9T/i737Xy6BOmuQlUDt1ih2ZiNSH4mI/UOjVV30nyejR8M478NOf+n7zs8/2+fLPPosdaRR5MQduZocAXYB5NTw31MxeM7PXNmzYkOvQJF/MnOmJ+rbb4Cc/gddf92M+Nc8tUhgOP9zny1eu9IQ+dCj87W8+X/7Nb8LPfuZfL6Dqb9ETuJk1Ax4Hfh5C+Kj68yGEshBCSQihpHXr1rkPUOJav94T9g9+4Ml65kyvoNaiRezIRCQGMx+FGzcO3n4b/vpXf30YPx6OOcZLuY4Z48+lXNQEbmZFePJ+MITwRMxYJM989pmfSdyhgw+Vjxzpe7tPPjl2ZCKSL4qKvDDMI4949beyMl8Lc+21Pl9eWgrTp6e2Vx5zFboBE4AVIYSxseKQPFRe7iUYR4zw6k3Llnlt5aZNY0cmIvmqRQtf2DpnDvzrX36gytKlnsQ7d/Zzzbdtix1lVsXsgR8HXAj0MLNFmcdpEeOR2Corvbzi6af7qtNnn/VKajqeUET2RPv2vuDtjTfgj3/0ojADB/rhKqNHp2Z4PeYq9DkhBAshdAohdM48nokVj0S0fbufYtSxI1RU+PzVkiX+zllEZG81auTHBi9d6p2Bjh3hN7+Bgw/2zkJFRaJPSYu+iE0K3PLlXrP88suhe3cfLr/6ap/bEhHJBjM47TR47jnfjjZiBLz8spdfPuIIL+26eXPsKPeYErjEsW0b3HgjdO3qFdT+/GdfbHL44bEjE5E0O/xwH+WrrPTT0Vq29GNQi4s9sa9dGzvCOlMCl9xbssR729ddB337wj//Ceefrz3dIpI7jRr5CWnz5vk5CqWlcOednuDPPde/nueUwCV3tmzxpF1S4u9+H3vMt39of7+IxNS9u59g+MYbfp7C9On+teOO833meboNTQlccuP55+Goo3zYvH9/73X36xc7KhGRndq29S2rlZVeKGbdOujTxwvEVFTkXSJXApf6tXGjlzzt2RMaNPADCiZN0sEjIpK/mjXz0qyvv+6nHq5f7wvejj/eOyN5ksiVwKX+zJ7t53Q/8ogfE7hkCfToETsqEZG6KSryUs6rVsG99/oCt549fWg9D3rkSuCSfdu2eRWkHj1g//19McioUdCkSezIRET2XKNGcMklvgXt97/3IfZevXxovbw8WiJXApfsWrMGvv99uOkmGDwY/vEP6NIldlQiIvuuSRMYNswT+fjxsGGDV44sKYGnnsp5IlcCl+wIwQ8S6NQJVqzwFZ0TJvhckohImjRq5GeSr1oFEyfCpk2+JbZrV3jyyZwlciVw2Xfr1kHv3nDxxb71YulS30cpIpJmRUU+0rhyJTzwgFdzu/HGnP14JXDZN1On+slhs2d7PfPnnvOtGCIihaJhQ/jxj330cerUnBWlUgKXvVNV5Wd0n3kmHHYYLFzo5Qgb6FdKRApUw4ZekjVXPy5nP0nS4913fYj8xRdh+HAYOxYaN44dlYhIQVEClz3z4ouevDdtgsmT4YILYkckIlKQNN4pdVNVBb/9LZx8Mnz1q763W8lbRCQa9cDly731lp8W9tJLMHAg/O53nsRFRCQaJXDZvalTYcgQr66mIXMRkbyhIXSp2ebNcNFFO1eZL1ig5C0ikkeUwOWL5s2Dzp29ktq118Irr0CHDrGjEhGRXSiBy047dsANN/hJO9u2eXGWm27ysoEiIpJXNAcubuNGHyKvqIDzzvMTd772tdhRiYhILZTABebPh7PO8gItf/iDz33nqBSgiIjsHQ2hF7IQPGEff7wn7JdfhqFDlbxFRBJACbxQffihV1S75BLo0cPP7S4piR2ViIjUkRJ4IZo711eZP/kk3HILPP00HHBA7KhERGQPKIEXkh07YMwYOOEEHyafM8dPFNMJYiIiiaNFbIVi82Y/r/aJJ+Dss6GsDFq0iB2ViIjsJSXwQrBmDfTtC8uXwx13wJVXaqGaiEjCKYGn3QsvwDnn+Irzigro2TN2RCIikgVRJz/NbKKZrTezZTHjSKXP57tPPRUOPBBefVXJW0QkRWKvXnoAKI0cQ/ps2AC9e3sd87POgr//Hdq3jx2ViIhkUdQEHkJ4EXg/ZgypM2cOdOkCs2bBvffClCk6u1tEJIVi98AlW3bsgJtvhpNOgqZNfa/3JZdosZqISErl/SI2MxsKDAVo165d5Gjy1HvvwYUXwowZXl2trAyaN48dlYiI1KO874GHEMpCCCUhhJLWrVvHDif/vPCCV1V76SVP3FOmKHmLiBSAvE/gUosQ4MYbfWV5ixa+ylyniImIFIzY28imAHOBb5lZpZn9JGY8ibF5s1dTu+466N8fXnsNjjoqdlQiIpJDUefAQwgDYv78RFq92quqrVgBt98Ov/iFet0iIgUo7xexyS6eeQbOP98PH5k+HU45JXZEIiISiebAk2D7dh8u790bDj4Y5s9X8hYRKXDqgee79evhvPN8tfngwXDPPb7PW0RECpoSeD6bO9cXq23cCBMmwJAhsSMSEZE8oSH0fFVWBieeCI0beyJX8hYRkV0ogeebrVth6FC4+GLo0cO3iHXuHDsqERHJM0rg+eSdd+Dkk2H8eD9J7OmnoWXL2FGJiEge0hx4vpgxAy64AD75BB591I8BFRERqYV64LFVVfkWsVNPhdatvSSqkreIiHwJ9cBjevttGDDADyIZMgTuvhu+8pXYUYmISAIogccyezaccw58+ilMnuzD5yIiInWkIfRcCwHGjvVKagcc4FXVlLxFRGQPKYHn0ubNPmR+1VXQpw/MmwdHHhk7KhERSSAl8FxZuRK6d/cV5mPGwOOPQ/PmsaMSEZGE0hx4LkyZAhdd5AvUKiqgZ8/YEYmISMKpB16ftm6F4cP9MJIuXWDhQiVvERHJCiXw+rJ2LRx/PNx7L4wcCTNnQps2saMSEZGU0BB6fZgxwxerVVXBU0/5gjUREZEsUg88m0KAm2+G0lI46CDfIqbkLSIi9UA98GzZtAkGD4Ynn4T+/eH++2H//WNHJSIiKaUEng1Ll0K/frBmDdxxB1x5JZjFjkpERFJMCXxfPfign9/dvDnMmgUnnBA7IhERKQCaA99bW7fCZZd5GdSSEt8ipuQtIiI5ogS+N1atgmOPhXvu8bKozz8PBx4YOyoRESkgGkLfU5Mnw7Bh0LgxTJsGp58eOyIRESlA6oHX1ebNMGgQDBwIXbvC4sVK3iIiEo0SeF0sXAhHHw2TJsH113tVteLi2FGJiEgBUwLfnRDgzjv9FLFPPvHEPWoUNNTMg4iIxKVMVJsNG2DIECgv96HyiROhVavYUYmIiADqgdesogKOOgqeew7uusvrmSt5i4hIHomawM2s1MxeN7PVZnZNzFgA2LIFrrgCevXyhD1/Plx+uaqqiYhI3omWwM1sP+AeoBfQERhgZh1jxcPSpdCtG4wb50l7/nzo1ClaOCIiIrsTswfeDVgdQlgTQvgMeBg4I+dRhAD33efJe8MGePZZHzZv2jTnoYiIiNRVzATeBnhrl88rM1/LnQ8+gLPP9sIsJ57oe7tLS3MagoiIyN6IuQq9ponl8IWLzIYCQwHatWuXvZ8+dy4MGABvvw233uolURtoTZ/I3mrWuVnsEEQKSswEXgm03eXzYuCd6heFEMqAMoCSkpIvJPi99tJLnrDnzIFjjsnatxUpVB3u7BA7BJGCErPLOR/oYGaHmlkjoD8wLWc/fcQIWLRIyVtERBIpWg88hFBlZpcB04H9gIkhhOU5C6BBAz/DW0REJIGiVmILITwDPBMzBhERkSTSqi0REZEEUgIXERFJIAshewu765uZbQDWZvFbtgL+L4vfL1+pnemidqaL2pku2W7nwSGE1jU9kagEnm1m9loIoSR2HPVN7UwXtTNd1M50yWU7NYQuIiKSQErgIiIiCVToCbwsdgA5onami9qZLmpnuuSsnQU9By4iIpJUhd4DFxERSaSCSOBmVmpmr5vZajO7pobnB5nZBjNblHn8NEac+8LMJprZejNbVsvzZmbjMv8GS8ysa65jzIY6tPMkM9u0y728PtcxZoOZtTWzWWa2wsyWm9kVNVyT+Htax3Ym/p6aWRMze9XMFmfaOaqGaxqb2SOZ+znPzA7JfaT7po7tTPzr7efMbD8zW2hm5TU8V//3M4SQ6gdeZ/3fwGFAI2Ax0LHaNYOA38WOdR/b+X2gK7CsludPA57Fj3HtDsyLHXM9tfMkoDx2nFlo50FA18zHXwVW1fB7m/h7Wsd2Jv6eZu5Rs8zHRcA8oHu1a4YD92U+7g88Ejvuempn4l9vd2nLL4CHavr9zMX9LIQeeDdgdQhhTQjhM+Bh4IzIMWVdCOFF4P3dXHIGMCm4vwMtzOyg3ESXPXVoZyqEENaFEBZkPv4YWAG0qXZZ4u9pHduZeJl7tDnzaVHmUX0B0hnAnzIfPwb8wMwsRyFmRR3bmQpmVgz0Bu6v5ZJ6v5+FkMDbAG/t8nklNb9A9MsMQz5mZm1reD7p6vrvkAbHZobwnjWz/4kdzL7KDL11wXszu0rVPd1NOyEF9zQz3LoIWA/MCCHUej9DCFXAJuCA3Ea57+rQTkjH6+2dwEhgRy3P1/v9LIQEXtM7nurvCP8KHBJC6AQ8z853TWlSl3+HNFiAlx78DnA3MDVyPPvEzJoBjwM/DyF8VP3pGv6XRN7TL2lnKu5pCGF7CKEzUAx0M7NvV7skFfezDu1M/Outmf0IWB9C+MfuLqvha1m9n4WQwCuBXd/hFQPv7HpBCGFjCGFr5tPxwNE5ii2XvvTfIQ1CCB99PoQX/LjaIjNrFTmsvWJmRXhSezCE8EQNl6Tinn5ZO9N0TwFCCB8Cs4HSak/9936aWUPgayR4uqi2dqbk9fY4oI+Z/Qeflu1hZn+udk29389CSODzgQ5mdqiZNcIXE0zb9YJq84Z98Hm4tJkGDMysXO4ObAohrIsdVLaZ2YGfzzOZWTf8d3xj3Kj2XKYNE4AVIYSxtVyW+Htal3am4Z6aWWsza5H5uClwCrCy2mXTgB9nPj4LmBkyK6CSoi7tTMPrbQjh2hBCcQjhEDynzAwhXFDtsnq/nw2z+c3yUQihyswuA6bjK9InhhCWm9lo4LUQwjTgcjPrA1Th75AGRQt4L5nZFHy1biszqwR+gy8gIYRwH/AMvmp5NfApMDhOpPumDu08CxhmZlXAFqB/0l4EM44DLgSWZuYTAf4XaAepuqd1aWca7ulBwJ/MbD/8DchfQgjl1V6HJgCTzWw1/jrUP164e60u7Uz8621tcn0/VYlNREQkgQphCF1ERCR1lMBFREQSSAlcREQkgZTARUREEkgJXEREJIGUwEVERBJICVxERCSBlMBFREQS6P8B/ZX5dXBQDN0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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gAyoqKpg/f/5hn3u9Xj766CNqamqYN28eFkuvmMJgwAmEwtS6/Ifl1Ktdvk5LctoTCgYp3b+XXbt2kj3mTFxBRfHWT6hr8mBPH4zFcWi4WIuC5DhTv54a74g0prNh8TWRl52FzW5jw8p/sOYff6Vi/y4CPi9g+uX/9KUNxMYnsmPTu7icdeQUjiQ7vwib3YFSpvFkVpJpOJmdbKp/jtV4cqDyBUNUOL0cbPBSVu+mwultDdhHuvHc4cR2YwSXInTRb3n8IXZXu9hbY4q5u3Iz9QVD7Ktxs6faxb5aN/5QGLtVUZAeT2FmAkUZCe3exJSC3JRYRmQnMiI7qVuLJV988UWuuuoqRo8ezebNm7FaJWfUF2itafQEI90KDxXDOz0BjvfW6m5ysq94M7s/2YjT2cj4C6/CnpZ7WJG80xNo7dkAbVrLRxrQJcfasHideCr3463ez5yF1wHwp3uX8vE7b5rvWG1k5xcxdOzpXHHrTwBwOeuIT0zBYrWSGGMjOzmG7KRYBiXHMCg5dsAF9Qa3v7U3yUGnh5omf7ulL+2RAN4BCeACTGOyXVUudle7KG/wduk/li8YYm91MzurXOyvcxMKa+LsVoZnJTAsK5EhaXGHNTxrKzclllE5SYzMTiQptvvrEnfv3s3kyZMZO3Ysr776KhkZGZ1/SfRq/mCY2mYfNU2mfr3G5aO22d9pNU5ntNa4/aHDAnrL6H1OdwB/qJ3W8nF2kmIsWP1NBBsqaC7fTd3uj7CpMNf/6CEAHvzWZVTs20nO0BHkFI4it3AkQ0+bRNG4KYCpIspOjiUnsmQnx3RrkIqmlu6fVY0+qppM0D6eNhBHkgDeAQngA1eD28/OKhc7K11UNnq79J1AKMye6ma2VzZRUusmpDWJMTZGZCcyMjuRnJTY1q5dR8pMdDA6J5nRg5JIiT91DYD8fj9nn302O3fuZMuWLRQUFJyyY4noa/YFW7u11bn8pptbs7+17/rJ0FrjDYRNYG8J6m2WI4OSw2pp7X/urS7BU1VC44Gd1O76EGfJp0yYMYfr7zYB/vF7biI5Pau18Vxu0Ujyc7IZlBzpCpkcS1ZS+w3xeouWsQOqW6o/IktLtVl36ckAPrDKRUSf0uQNsKOyie0VXQ/aobBmf10z2yua2FPdTDBsgvbE/BRGDkokJzm2w2428Q4ro3OSGJubTHY31Gk3NTVRXV3NsGHDAFi9ejUzZswgNvbQvp999lnWr1/P888/L8F7AEiIjF9fkBF/2Octfdfrmv3UuU33tnp3gCZv14vilVLEOazEOeLITTl6ytVAKHxYQG8Zk7++OYDTkkkoOwOyJ5MyeREpgN8Gz6wvJSnGQlPuGRwo3cmmra8QbKwi5KzmvMuu56KvfIePS2rY9Na/yCsaxbhx4yjMSSM7yQT29HjHUT0wli9ffthQvd098FAgFI5UO5jfsDZS+lHf7O+w3rqvkhy46FW8gRA7K11sq2jkYIOnSzcvrTWVTT4+LW9kR6ULTyBErN3CyOwkRg9KIi+146BttSiKMhMYl5dMYUZCt4xfHQwGWbhwIS+//DLTp09n3bp1VFZWMnToUAoKCnjkkUeYM2dOa9rXrl3LOeecc9LHFf1PMBSOdFFrU1zuPjQZTlfrZTvTUjTv9AQiY9EHI8dof6Q6AIcKk5oYhz3kZdvbLxN0VhFqqiHBrsjKSGfOJVcw+vQzSYm1kJngIDc9kX/9/U8s++F3T2roX2+gZTz8EE0+k9aW8fOdngAuX/C42x90J8mBiwElHNbsq22muLyRvZFcc1c0+4Jsq2hk28Em6tx+rBbFsMwExuQkMTQj4ZjFeekJDsYPTua03OTjGgWtK37yk5/w8ssvc+uttzJv3jwABg0axCuvvMI3vvENzjvvPC666CLuvPNOZs6cKcFbdMhmtbR2/TpSOKxp8kWGhPWagO7yBmnyBVonhznW6HNtmcFhTOlAHkfn3sNat05123KsRk9kGlyPg/QzLyXY5r9tM/BqtebtNXuwBtyUffweMQSJU37i0rIpLi5m2KgxWCwWmuprGTJsFFkTZvNmcSVhrdFaozX4Q2F8wcgSmbGubSO+gU5y4CJq6pr9bD3oZFt5Y6ejoLUIhTV7a0yw31fbjNamkdnY3GRGZicSc4wnX5tFMSI7kQn5KeSnxXe43clYu3Yts2fP5pprruGJJ544ar3H4+G+++7j5z//OQkJCVRUVJCYmHhK0iKEPxg2M7f5gngiOVePP4TbH5m6NRDCF3n1BsKdjkrXkZbR6lyR3HqTN0hTZHa5usYm6hubCVpjwWIl1NzAwcdvap2/3hqfQv6V95KSkkpqYjyZGWlkpKW2TpebEGPFYbX0mRHmBkQOXCk1BHgCyAHCwKNa699GKz2iZwRCYXZUNrH1QCMHGjxd/l6D28/Wg40Ulzfi9odIcFiZUpDG2Nxk0hKOPSxlSpydifkpjMtLOeUzQK1cuZKioiKWL1/e7vq4uDh+9rOfce2119LU1CTBW5xSDpsFh83R6f+RFsFIjtcfDOMPmddAKEwgpAmEwgTDmmDkNXTkojXhyGsorAlrTSCkCYY0wbDZV12zn7179/InpfFFjql0GG9jLQFLDPU6jv1+H5RXHpYuK9pM0xpnJ8FhI8FhIz7GagK8w0q8wwT6OLu1zwT67hC1HLhSKhfI1VpvUkolARuBL2itizv6juTA+666Zj8flTWwrbypyy1uQ2HNnhoXHx9wUlrnQQGFmQmM70J9tVJQmJHAxPwUijITevQ/tdPpJCUlpceOJ0RfUVVV1VrnnZGZhdaautoaCoaPYunP/kBpWTn79+ykpraO6V/4Cs3+IG+/9iKVVdVYE9NxpA7CkZyJiksmbDm6d4hSEG+3Eh9jI95hjSztv4+1WzvshXIyBkQOXGtdDpRH3jcppbYBg4EOA7joW8Jhze5qFx+WNlBW3/XcdpM3wCcHG9l6wEmzP0RSrI0Zw9IZl5tCYuyx/8k6bBbG5SVz+pBUUuOPb8KIk/Hiiy8ydOhQpkyZIsFbiA4899xzFBcXt9uILb56Gw/e8k1qXL7IICoeyuo95F76OQ7u2U753h1U7l9L+bs7sMfE8M37n6TZF+Svv15GcyBE6uDhxGcNISYlG4s9BY8/hlqXH7c/eFQDPAAFxNqtxMdYTdB32IiLBPc4h/ksLhL04+xW7FbV63L3vaIRm1KqEJgMvB/dlIju4PGH+PiAk4/KGmjydq2Ppdaagw1ePixrYHe1C61haEY85w1OoTAzodMn5dR4O5OGpDIuL7nHx3eurq7m+uuvZ+bMmbzxxhs9emwh+pKWVuZtu5GtWrXqsG5kg5JjzdDEQ1IBqG/Op6RuQuucBr5AuHWSl9R4BxNOG0XJ9i2Ub3iZXaV7CYdDjJsxh6/++I8AvLD8PhLSc0gbMpLEQYXYktLxBMKRtgDB1vYAFY1e3P5gh43kbJZIN73WwN7mvd0W6cJnpdzpoSizZ6rGot6ITSmVCPwP+KnW+sV21i8BlgAUFBRM2b9/fw+nUHRVrcvHppIGPi1v7HJL8kAozPaKJraUNVDj8hNjszA+L4UJ+SldGqp0cGocZwxNY3hWzxaTt3Xrrbfy0EMPsXXrVsaMGROVNAgxEITDmgMNHvbWmLkLjpzvIOj3U1W2B601g4efRjDg55df+zy15aWt2zhi4jj/6hs5/6obCIdC7Nz8HjlFI0lOz0YpRTAUxh0IHWrs5w/hDhzR+K/N+yMb/o0elMQbt36m2865147EppSyA68Ab2itH+hse6kD751Kat1sKqlvbRXeFS5vkI8ONPDxASfeQJjMRAeThqQyelBSp1PxWZRi5KBEzihIIyfl5AdcORklJSWMHDmSL3/5y6xYsSKqaRFioGlw+w8Nq+z0dnj/8bpdVO7fTfm+HVTs28mI06czfuZcqg/s4+eLLwQgPim1darWaRcuYMioCa05/Y7oSEM9T8Dk5j3+EJdMyuOz43K67Rx7ZQBX5lf5C1Cntb6lK9+RAN57hMOanVUuNuyvo6rR1/kXIiobvWwuaWBnVRNhDcOzEjh9SCqDU+M6zUHbrYpxeSmcMTSt18xv/JWvfIWnnnqKnTt3MmTIkGgnR4gBq9kXZHe1ix2VLg7Ue7o0yI3f56Xk0y2U79tppmrdawL8Vbf9kgmzzmfnh+t48pe3kVs0itzCUYfNxW53HN03HwZIIzZgFvBl4GOl1IeRz+7QWr8WxTSJTgRDYbYebGRTST0N7kCXvqO1Zm9tM5v3N1DW4MFhtTApP5VJQ1K7FIjjHFYm5ady+pDUU94N7HiNGDGCH/7whxK8hYiyhBgbE/NTmZifitsfZFeVCeZl9e4Oc+aOmFhGTJrOiEnTWz/TWqPDZgCcuIQkRk2eSfm+naz9598IBkyR/c0PPcfQMRPZ/dF6dmx6p3UCmKz8wlN9moeJeh348ZAcePT4g2E+PtDApv0NXR78PxgO82lFE5v211PvDpAYY2PykFTGDe5aQ7OkWBtThqYxfnBKp8XqQgjRHpcvGJlToYkKZ9fmVGhPKBSk9mAJFft3MWbqOThi41j13GO88tj9rQHfarOzY9duhg3tvgf6XlmEfiIkgPc8XzDEllInm0rquzwVoi8Y4uMyJ5tLG3D7Q2QlxTClII0R2Yldmq0oPcHB1MI0xuQk99rZjTZt2sSePXtYuHBhr+taIoRoX4Pbz7byJj6taOxyCWJnAn4fVaV7qdi3g8qS3bz8598R143DM0sAF8fNFwzxYUkDm0oaujzwSrMvyObSBj4uc+IPhSlIj2fK0DSGpHVevw2QnRzDtMJ0RmQn9uqgqLVm7ty5fPLJJ+zZs0dGUxOiDzrY4GFbeSPbK5u6PGZ8VwyUOnDRC51I4HZ6AmzcX09xeSPhsGbkoESmDDVTCnZFXmos04oyKMpMOJmk95inn36aVatW8bvf/U6CtxB9VF5qHHmpccwelcXu6maKy53sr+24vrw3kgAuANM4bUtZA+v3db2ovNblY8P+erZXNmFBcVpuElOGpnV5BLT8tDhmDMtgSPqpmVjkVKiurubb3/4206dP58Ybb4x2coQQJ8lmtTA6J4nROUk0eQMUH2xk68FGnJ7uKWI/lSSAD3ChsOaTA04+2FvX5cZpVU1e1u+tZ1e1C7tVMXlIKpML0kiM6do/p6EZ8UwflsHg1KOnLeztbr75ZpxOJ4899hhWa+9qES+EODlJsXamD8tgWlE6pXUeth50sqvK1eWBqXqaBPABSmvNjkoX7+6u6XJjjgqnl/f31rKv1o3DZmFaYfpxde0qykxg+rB0clP6XuBusWDBAmbMmMG4ceOinRQhxCmilKIgI56CjHg8/hDF5U4+LnNS300N37qLBPABqKTWzdpdNVQ2dq1LxcEGD+/vraOkzk2szcLMYRlMGpLS5THHh2UlML0oI+qjpnWHyy67LNpJ6Nd23rITgJG/GRnllAhhxDmsTBmazhkFaZTVe/iozOTKuzJQzKkmAXwAqW7ysXZXNftq3F3a/kCDh/f31FJa7yHObmXWiAwmDk7FYetan+xhWQnMGJZhJibo426++WYKCgr47ne/G+2k9GuuD13RToIQ7VJKMSQ9niHp8bh8QT4uc7L1oLPLEzadChLABwCXL8i7u2ooLm/sUgvLIwP3OSMymZDf9cFUhmUlMHNYBtn9IHD7/X5+8IMf8NBDD/G9730v2skRQvQCiTE2Zg7PYHpROrurXWwubeDAcUyZ3F0kgPdjgVCYDfvq2VRSjz/YeT/Hgw0e1u2tpbQuErhHZjLhOEZB60+BG2DPnj1cccUVbNiwgW9961v89Kc/jXaShBC9iMWiGDkoiZGDkqhq8rKl1Nnp1MfdSQJ4P/VpRSNrd9Z0qXinwull3Z5a9te5B2Tg9vv9vPXWW2itSUhI4Oyzz8blcjFt2jRCoRAvvvgiX/ziF6OdTCFEL5adFMsFY3v2HigBvJ+pbPSyensVBxs6b6BW1ejlvT2mVXmc3crZIzKZOMCKyr1eLwsXLuS11w7NoRMKhUhOTuahhx7irLPOorCwMHoJFEKIDkgA7yfc/iBrd3atnrvG5WPdnlp2VzcTY7Nw1vAMJuX3zsZpBw4c4Nprr6WwsBMOc/EAACAASURBVJAf//jHDB48uNv27fF4+MIXvsB//vMfHnzwQaZPn47b7cZiMb/D1Vdf3W3HEkKI7iYBvI8LhzUfljWwbk9tp+P51rv9rNtTy45KFw6rhelF6UwuSD2u7mA92ap8y5YtXHTRRTQ0NLB27VomT57M0qVLAdOPfdOmTTz55JM888wzTJ8+nRdffPG49m+z2UhOTubxxx9n8eLFp+IUhBDilJEA3oeV1rlZvb2KGpf/mNs1egK8v7eObeWN2KyKqUPTmDI0rcsD7kejO9j//vc/Lr74YlJTU3n33XdJSkoiPz8fgL/97W8sW7aMPXv2YLfbmT17NrfccgsAbrebcDh8zDHKm5ubaW5uJjs7m2effbZXT5wihBAdkQDeBzX7gqzZWc228qZOt/tgXx2fHHCilOL0IalMLUwjvotT3UWzH/fo0aOZO3cuDz/8MHl5eYete/311ykoKOCHP/whCxcuJD09vXXdj370I1544QVWrFjB+eeff9R+PR4Pl1xyCXV1dWzYsAGbTf4LCCH6pqjevZRSjwMXA1Va6/HRTEtfoLXmw9IG3uukuNwTCLFxXz1byhoIa83YvGSmFaaTFGvv0nGi2TjtnXfeYcaMGeTk5PCPf/yj3W3+9re/dfj9BQsW8Oqrr/LZz36WX/ziF9x2222tOWy/389ll13G6tWreeKJJyR4CyH6tGjfwf4M/B54Isrp6PUqG738d1vVMYc/9QfDbC6pZ1NJA/5QmDE5SUwvSu/S7GBKwfCsRKYPS+/yNKDd7bXXXmP+/Pncc8893HXXXSe0j1mzZrFx40YWL17MD37wAz7++GP+7//+D5vNxtVXX81rr73GI488wpe+9KVuTr0QQvSsqAZwrfXbSqnCaKaht/MFQ7y7u5YtpQ0dti4PhsJ8dMDJhn31eAIhhkdy0BmJMZ3uXykYkZ3I9KIMspI63/5UWb9+PZdffjkTJ07k5ptvPql9JSQk8MwzzzBx4kR+9atfcccdd/DEE0/wwgsv8MADD7BkyZJuSrUQQkRPtHPg4hh2Vjaxent1h9N8hsKabeWNvB+ZCrQgPZ6ZwzPI6ULRt0UpRg1K5MyidDK7EOhPpd27d3PRRReRnZ3Na6+9RlJS0knvUynFXXfdxZIlS8jOzubb3/42hYWF3HDDDd2QYiGEiL5eH8CVUkuAJQAFBQVRTk3PaPIGWLW9mt1V7U/s0DIV6Lo9tTR4AuSmxHLhuEHkp8V3um+LUozJTWJaYTppCZ0XrZ9qWmuuuOIKQqEQr7/+Ojk5Od26/+zsbAByc3MleAsh+pVeH8C11o8CjwJMnTo1+vO3nUJaa7aUOXlnV027Y5drrdlX6+bd3TXUuPxkJDq4ZGIuRZkJnXaFslkU4wYnM2VoOilxXWvM1hOUUjz44INYrVZGjx4d7eQIIUSf0esD+EBR6/LxZnEl5c72G6kdqPfwzu4ayp1eUuLsXDhuEKMHJXUauB02CxMGp3DG0DQSY3rP5f7kk09Ys2YNN954I+ecc060kyOEEH1OtLuR/R04F8hUSpUBy7TWj0UzTT0tFNZ8sLeO9fvqCIWPLmCoavLy7u5a9te6SXBYmTM6i3F5KVgtxw7ccQ4rk/JTmVyQ2uUBW3rK+vXrmTdvHrGxsVx99dWkpKREO0lCCNHnRLsV+lXRPH60VTi9vFlc0e5IavVuP+t217KjykWMzcKsEWa88s4mGkmKtXHG0DTG56V0eWzznrRp0ybOO+88srKyWLlypQRvIYQ4QR0GcKXUX7XWX1ZK3ay1/m1PJqq/C4TCvLe7ls0lZqCVtpq8ZtjT4vJGbBbFmYVpTClII6aTXHRmooMpQ9MZnZPUae48WioqKrj00ktJT09nzZo13ToxiRBCDDTHyoFPUUoNBb6ilHoCOCwqaK3rTmnK+qmyejcriyupdwcO+9zjD7F+fx0flTnRWjNxcApnFqaT0Em9dX5aHFML0ynKTDiVye4W//3vf2loaJDgLYQQ3eBY0eGPwOvAMGAjhwdwHflcdJE/GOadXTVsKTt8QBZfMMTmkgY2lzQQCIUZk5vEjKIMko/RUrylD/cZQ9OiMk75ibrmmmu44IILWrt2CSGEOHEdBnCt9UPAQ0qpP2itb+zBNPU7pXVu3iyuxOk5lOsOhsJ8VOZk/f46vIEwI7ISmTEs/Zijp8XYLYzPS+H0glSSuziueW/wyCOPMGLECObOnSvBWwghukmnjdgkeJ84fzDM2l3VkWJx81korNl60MkH++po9oUoSI/nrOHHnvErPcHB6UNSOS03uVc2TOtIY2Mjv/71r/nJT37CggULmDt3brSTJIQQ/Ubv6Rjcz5TWuflPcSWNkVx3WGt2VDSxbm8dzsjoafPG5XQ4eppSUJiRwKQhqRRmxPepOat9Ph9/+MMf+OlPf0pNTQ2LFi1ixYoV0U6WEEL0KxLAu5k/GGbNzmo+PmBy3VprdlW7WLenjrpmP1mJMcyflNdhUI61Wxmbl8yk/JQuzSIWbbt37+af//wntbW1TJ8+nfnz57Nu3TpuvfVW5s6dy89//nPOPPPMaCdTCCH6HQng3ahtrltrzf5aN+/tqaWqyUdavJ3Pjc9hZHZiu4E7JyWWCYNTGJ2T1Glf794gFArx29/+lrvuuguPx4PVauU73/kO8+fPZ/bs2axfv56pU6dGO5lCCNFvSQDvBr5giDU7avj4gBMwgfy9PbWUO70kx9q4YOwgxgxKwnJE/2yHzcLoQUlMzE8huw+1JgdYsmQJjz/+OJdccgm/+93vKCgoOOzBRIK3EEKcWhLAT9K+mmZWbqukyRvkYIOH9/bUUlbvITHG1uGwp7kpsYwfnMKoQUl9qlGa1ppwOIzVauWb3/wmc+fO5aqrrupT9fNCCNFfSAA/Qd5AiLd3VLP1YCMVTi/r9prxyuPsVj4zMpMJg1OwtSkKT4ixMjonmXF5yVGbf1trzV/+8he2bdvGt771LfLz83n99df54IMPWLx4MUOGDOnwu8FgkJtvvhmv18uKFSuYMmUKU6ZM6cHUCyGEaEsC+An4tKKR/22vZl9NM+v21rG3pplY+9HjlVstiqLMBMbmJVOUkXBUEXpP+/Wvf81tt91GTEwMCxYsID8/H5fLxbJly7jnnnu48MIL+epXv8rFF19MbOyhIv3GxkauvPJK/v3vf3PbbbehtZZctxBCRJkE8OPg9AR469NK1u+tZ92eWvbUNBNjszBzeAan56e2FocPTo1jTG4SowYl9ZqZwF599VW+//3vc/nll/P0009jsZi0XnbZZezZs4c//elPPP7441x++eXk5+dTWloKwNtvv83SpUspLi7m0Ucf5etf/3o0T0MIIUSE0vroKSx7q6lTp+oNGzac0mMsX76cyy+/vHXEsKqqKp56+hmmfO5K/rO1knd317C7uhmHzcIZQ1I5vSCVGJuVtHg7Y3KTOS0nmZT43jVK2qeffsq0adMYOXIka9asIT6+/b7noVCIN998k/LychYvXgzA6NGjqaio4Pnnn+eCCy7oyWSLAWjzuZsBmLx6cpRTIkTvoJTaqLVut1Ww5MDbWL58OUuXLuXhhx9m1apVhMKasz8zmz07tzNy1S78oz+Lw6qYXpTO5CGppCc6GDUoiZFZ8ewt/pBVzzxN3Oc/z6RJk6J9KofJz8/nqquu4kc/+lGHwRvAarUyb968wz57/vnnyc7OZtCgQac6mUIIIY7DgA7gPp8Pr9eLz+fD5/Mxbdo0Ro0aRXFxMWPGjsPrD+JpasCeUUBz1jia1z7F6FS49or7GZOTyEtPPMIjGzfyxhtvUF9fD8D5558f5bMyGhsbWbNmDWlpaZx11lk88sgjJ7SfCRMmdHPKhBBCdIeoBnCl1Dzgt4AVWKG1/kVPHv+8887j3XffPeyzYWPGEZ+cRn1tDQCWuGRSx53DsKo1XLBgFnPPmsKsibns3LmT2267jezsbC699FIuuugizjvvPNLT0wF46aWXuPjii7Hbe644vba2lgceeICVK1eyceNGQqEQixYt4qyzzuqxNAghhOgZUQvgSikrsBy4ACgD1iulXtZaF/dUGm648UZmX3gxTX5o8GvqdDL7/fF4V3yndZs4u4VX/nAfZ55WeFjL6xEjRlBRUUFWVlZrg7AWmzZtYsGCBZxzzjksW7aMjIwM0tLSyM/Px2q14vF4cLlc+P1+MjMziYk5+W5lWms+//nPs3HjRmbOnMntt9/OnDlzmDlz5knvWwghRO8TzRz4NGCX1noPgFLqaeBSoMcCeNyY2WRmu3HVutm1r46ygxVUPX0HYbeT5LQM7FYLtTXVLL78YlatWnXYVJhKqQ7rhc844wyefPJJvva1rx1WpF5ZWUl2djb33nsvv/zlLwEYPHgwjz32GBdeeOFR+3E6nWzZsoXBgwczfPjwdo9VW1tLYmIiMTExPPDAAyQlJTFx4sST+VmEEEL0AdEcBmwwUNrm77LIZz0iFNZ8WNrAUx+U8PKWg7h8QQbXf4i/poSRo8ew89Niird+wtixYykuLua55547rv1fffXV7N69m9WrV/Piiy/y2GOPtRavz58/n9///vc8/PDDpKSkMG/ePL7//e+3freqqoo77riDgoICZs+eze233966btCgQaSnpzN06FDGjRvHqFGjuO+++wCYNWuWBG8hhBggopkDb28kkKP6tCmllgBLAAoKCrrt4D99dRtPvl9CWrydz44dxIT8FGZ/7U7enjGURYsWtea2V61axXPPPcdNN9103MfIzc0lNzf3qM/POuus1nrpxYsXc9dddzF27FgA7r//fu6++268Xi+XXXYZ1157LXl5ea3f/frXv47T6aSpqYmmpibGjx/PokWLTuQnEEII0YdFrR+4UmomcI/W+sLI37cDaK1/3tF3urMf+K6qJv7y7n7S4u2MGJTEeWOySYyJfqP8J598krfeeovvf//7jB49OtrJEaJHST9wIQ7XW/uBrwdGKqWKgAPAlcDVPXXwEdlJTB+WzsjsJEbnJPXUYTt1zTXXcM0110Q7GUIIIXq5qAVwrXVQKbUUeAPTjexxrfXWnkzD58bnHjVTmBBCCNEXRLXMWGv9GvBatI4vwVsIIURf1XcmoxZCCCFEKwngQgghRB8kAVwIIYTogySACyGEEH2QBHAhhBCiD5IALoQQQvRBEsCFEEKIPkgCuBBCCNEHSQAXQggh+iAJ4EIIIUQfJAFcCCGE6IMkgAshhBB9kARwIYQQog+SAC6EEEL0QRLAhRBCiD5IArgQQgjRB0UlgCulLldKbVVKhZVSU6ORBiGEEKIvi1YO/BNgAfB2lI4vhBBC9Gm2aBxUa70NQCkVjcMLIYQQfV6vrwNXSi1RSm1QSm2orq6OdnKEEEKIXuGU5cCVUiuBnHZW3am1/mdX96O1fhR4FGDq1Km6m5InhBBC9GmnLIBrrc8/VfsWQgghBrpeX4QuhBBCiKNFqxvZF5VSZcBM4FWl1BvRSIcQQgjRV0WrFfpLwEvROLYQQgjRH0gRuhBCCNEHSQAXQggh+iAJ4EIIIUQfJAFcCCGE6IMkgAshhBB9kARwIYQQog+SAC6EEEL0QVHpBy6EEO1JPD0x2kkQos+QAC6E6DVG/mZktJMgRJ8hRehCCCFEHyQBXAghhOiDJIALIYQQfZAEcCGEEKIPUlrraKehy5RS1cD+btxlJlDTjfvrreQ8+xc5z/5FzrN/6e7zHKq1zmpvRZ8K4N1NKbVBaz012uk41eQ8+xc5z/5FzrN/6cnzlCJ0IYQQog+SAC6EEEL0QQM9gD8a7QT0EDnP/kXOs3+R8+xfeuw8B3QduBBCCNFXDfQcuBBCCNEnDYgArpSap5TarpTapZT6YTvrr1dKVSulPowsX4tGOk+GUupxpVSVUuqTDtYrpdRDkd/gI6XUGT2dxu7QhfM8VynlbHMt7+7pNHYHpdQQpdQqpdQ2pdRWpdTN7WzT569pF8+zz19TpVSsUuoDpdSWyHne2842MUqpZyLX832lVGHPp/TkdPE8+/z9toVSyqqU2qyUeqWddaf+emqt+/UCWIHdwDDAAWwBxh6xzfXA76Od1pM8z88AZwCfdLD+88C/AQXMAN6PdppP0XmeC7wS7XR2w3nmAmdE3icB5cA7nV1T4I/Aj46x3zuAFacozT/B9H+tOInz3NHO/89jXtPOzrk3LJFrlBh5b49cqxlHbPNN4I+R91cCz0Q73afoPPv8/bbNuXwHeKq9f589cT0HQg58GrBLa71Ha+0HngYujXKaup3W+m2g7hibXAo8oY11QKpSKrdnUtd9unCeUaeUWq2UqldKxZzoPrTW5VrrTZH3TcAHwD1HbHbUNQXu1VrfF0nHuUqpsiP2+zOtdbfneJRSQ4DvYoJvTle/1855bgMGH+M41yul1h6xj2+0nHNvFblGrsif9shyZAOkS4G/RN4/D8xVSqkeSmK36OJ59gtKqXzgImBFB5uc8us5EAL4YKC0zd9ltH+DWBgphnw+cjPqb7r6O/QHMyNFeP9WSo3ryQNHisnOwdy05nfjPidjcjNt9aZrOhSo1VpXnegOjnGeELmmmBxP/IkeI5oixa0fAlXAm1rrDq+n1joIOIGMnk3lyevCeUL/uN/+Bvg+EO5g/Sm/ngMhgLf3xHPkE+G/gEKt9URgJYeemvqTrvwO/cEmzNCDk4DfAf/o4eNfC6wD/gxc13aFUipDKfWyUqoxUk94X0tuUilVqJTSSilbm+1XK6VuAl4A/gm8FvlcKaUeBC4AXo/cCMdHvrZMKfUTpVQCpng9Tynliix5Sql7lFJ/a3OM+ZG6yobI8U5rs26fUup7kf07I/V5sUeesFLqfODNNsf6c3u5/8j+zo+8v0cp9axS6gmlVJNSalskvbdorRsjdeMvKjN88ouYHMyVwBhgcuQ4DZF9/Vkp9ZM2x/l6pN6xLvJ757VZp5VS31BK7YyUkizvqVyu1jqktT4dyAemtblmrclr72unPmXdqwvn2efvt0qpi4EqrfXGY23Wzmfdej0HQgAvA9o+4eUDB9tuoLWu1Vr7In/+HzClh9LWkzr9HfoDrXVjSxGe1vo1wK6UyuzBJFwLPBlZLlRKDWqzbjngxdT7fiWyHIsCbozsq+2N4rOYtgBPAV8HrgBqMdfUDaC1bgY+BxzUWidGlsOut1JqFPB34BYgC/OA8C+llKPNZouAeUARMBFTf3kYrfXKI4511DYdmI+p0soEYoA4rfWLSikr8Apm3oNCIA/4q9Z6G7AE8GECQOqRO1RKnQf8PJLu3Mg+nj5is4uBM4FJke0u7GJ6u4XWugFYjfld22r9Pxp5kEuhl1cXHUtH59lP7rezgPlKqX2Yf1/ntX0wjjjl13MgBPD1wEilVFHkxnQl8HLbDY6oC56PqYfrb14Gro3k3mYATq11ebQT1d2UUjktOSql1DTMv/HaHjr22Zii5GcjT+a7gasj66zAQuBurXWz1voTjpHziJzDaKBca/3AEasDmAZfH2MeGD6NHNcJeI4jyVcAr2qt39RaB4D7gTjgrDbbPKS1Pqi1rsPknE4/jv13Zi0m1/1/kfctDzvTMEH7tsiDSCrwTmRdUeS1o2t6DfC41npTJEjcjil+L2yzzS+01g1a6xJgFd17Tu1SSmUppVIj7+OA8zHXra2XOVRqcxnwlo60gOorunKe/eF+q7W+XWudr7UuxMSUt7TWXzpis1N+PW2db9K3aa2DSqmlwBuYFumPa623KqV+DGzQWr8MfFspNR8IYp6Qro9agk+QUurvmNa6mZGiy2WYBiRorf+IyV19HtiFyaUtjk5KT04XzvMy4EalVBATzK7swZvgdcB/tNYtMxE9FfnsQUwO18bhddbHmllvFiagBSL1ielAk1LqG5H1v4/seywmcJdG/l56HOnNa5sGrXVYKVXK4fXoFW3euyPf6S4VmPP8MuYmHxs5139HjvU1TAvzttc0Edh+jGuah6lGAUBr7VJK1WLOaV+b47ZwR/Z5quUCf4k8yFkwD3mvHHEfegz4q1JqF+Y+dGUPpKu7deU8+/z9tiM9fT37fQCH1qLU14747O4272/HPKn3WVrrqzpZr4Gbeig5p0wXzvP3mODWoyK5jUWAVSnVEiBiMK39JwGfYG5YQziUIylos4vmyGs80Ki1XquU2g7cr7VeoZS6Hvha5CGlxUNKqWzgWWCN1nrDEdW5nT24HAQmtDkHFUnfga6ccyeaadPYLHJDP2pKRK312sihC4G9wFRM8fZXibTubXtNlVLXYaoNOnIQUxrRctwETMOh7jinE6a1/gjTQO/Iz9veh7zA5T2Zru7WxfPs8/fbtrTWqzFVBT1+PQdCEboQPeELQAiTIz49spwGrAGu1VqHMI2x7lFKxSulxtKmkZvWuhoTZL6kTCverwDD2zuQUupMpdR0pZQdEyi9kWMfqRLIUEqldJDmZ4GLlFJzI/v6LqZ++d3jPPf27MDkqC+K7PsuzANNV3yA6ff+C6VUgjKDg8yKrKsE8o+op2/rKWCxUup0Zbrx/Qwz5sG+Ez4TIXopCeBCdI/rgD9prUu01hUtCybneE2kEctSTHFtBaaV+p+O2MfXgdsw9bvj6DiQJmPqjesxReC1mPrrw2itP8U0UtujTCvzvCPWbwe+hGmtXwNcAlyizXgJJ0Vr7cQMZLEC82DSjGnU05XvhiJpGQGURL53RWT1W8BWoEIpVdPOd/8L/AjTcr8c8xDUF4uiheiUTGYiRJS0KRY/O9ppEUL0PZIDF0IIIfogCeBCCCFEHyRF6EIIIUQfFLUcuOrCtHNCCCGEaF80i9B9wHmRMatPB+ZFRggTQvQSkS5rH0UeuBMiD9tHjm0thIiCXlGErpSKxwyleGMHM9cAkJmZqQsLC3ssXUIIIUQ0bdy4sUZrfdQgSBDlkdgiozNtxPT3XH6s4A1QWFjIhg0beiRtQgghRLQppToccjmqrdC7MO0cSqklSqkNSqkN1dXVPZ9IIYQQohfqFd3IjjG9HlrrR7XWU7XWU7Oy2i1FEEIIIQacaLZC78r0ekIIIYRoRzTrwNuddi6K6RFiYNMaDp/NrOPtSkrg/fehuhrmzYPh7c670jG3G158EZ55xuzD6wWvl53lC6GokJGrL4fU1BM6DSEGiqgF8I6mnRNC9IC33oIf/xg+/dQET5/PLCNGwI03wvXXQ1raoe3LyuCll+DNN+GDD6Cy8vD9TZoECxbA+eeD02m2LyszwTkjA3JzzRIfDy+8YAJ3YyMUFsLo0RAbC7GxuGpPgy01MGYM/PrXcPXV5qEiFIK1a+Ef/wC/H+bMgXPPhczMHvzRhOhdekU3sq6aOnWqllboQpyEdevgzjtNAM/Ph899DuLiICYGHA5YtQrefdd8ds01JqC/9JLJbQOMHAkzZ8L06TBtmskl/+tfJii/+67JnbdQyjwENDRAOHzo8/h4uOwyWLwYPvMZsByqydt87mZwuZhs/Z55UDj3XJO7/+c/oabGBHqrFZoj06dPmGD2ddttJs1d4fF0fVshokwptVFrPbXddRLAheiDduyAV14xOdVZsyClzZTfWsOePbBhA5SWQkWFWfbuNUE2KwvuuAO+8Q0TEI/04YewfDk8+aQJdlOmwMKFJoc9enTHaSovN0E3O9s8HOTkgN1ucs/V1WZ9ba0J/klJ7e5i87mbAZj81iRYsQJ++EPz/YsvNsefN888aGzYYB42/vtf8zAybBj84Q/w2c92nL79++GWW8zvtmyZ2bctqj1pheiUBHAh+gOtTRH2b38Lr7126HOLxRRhn3mmCVLr10Nd3aH1sbGm+HrQILjkEvj2tyExsfPjOZ3gcsHgwd1/Lh1oDeCrI7Vr/sjU5A5Hx19atco8jOzYYYrc77/fnG8Lvx8efNBUGYApQfjvf83rX/96/PX3QvSgYwVwefwUorfbts00+Prb30yd9aBBJgd53XUmV/3227BmDTz9NBQVmZzqtGkwdaoJTklJXWucdqSUlMNz9tFwrMDdYs4c2LIFfvEL+PnP4amnTNF9QYFZdu40v9sXvwi/+Y357Kmn4JvfhNNPh1/9CsaNg0DALKGQKTmIiTFLXByMGiXF7qLXkRy4EL1NIGCKol97zQTuTyO9K2fONA3MFi0ygaUfOioHfry2bzd19qWlpqV8SYkpobjvPlMM31ZJiXkIWr268/3a7aaE4zOfgXPOgbPPhuTkE0ujEMdBitCF6I1a6oYrK81SXAwrV8L//meKrq1WmD3b5Ki/8IUeLcqOlpMO4McrHIZ33jEPTTabCdRWq/nb5zMt9F0uU+f+9tuwcSMEg2abqVNN7v+880yuPhw2SygEQ4Yc3opfiBMkRehC9Ba7dsHzz8Nzz5nGYm1bZ4Mpqv3yl013rHPPhfT0qCRzwLBYTI66M4sWmdfmZtOSf/Vq03ju/vtN0f2RbDa48EK48kqYP19y6+KUkAAuxKmgNRw8aOpfW5aVK2GzyWEybZppBZ2XZ1prDxpk6q8HQC67T0tIgLlzzXLffSZ3/s47ptGgxWIWpUwVyNNPw6uvmkaEX/wifPe7pkW/EN1EitCF6C4ul2kl/q9/ma5KbSffcTjgjDPg8stNl6yhQ6OXzl6sx4vQT6Vw2OTW//53eOIJM3DNnDnw/e+b3HlHDQurq2HTJlPfLg3nBjwpQhfiVGlsNIOMPP206Zrk85nBTT73OdPQaeRIswwZYupNxcBhscBZZ5nlpz+FRx81reA/9znTn37hQpMznzLFBPONG+F3vzP/lnw+M4Ld175mGi7KA59oh+TAhTheWpsc9p//bIpIfT7TiGnBAlPfefbZpjGUOG79KgfeHr/f5Mj/8hfTKC4UMoPe5Oaa/vsJCaZl/Ny5ptvgP/9pvnfppabIfty46KZf9DjJgQvRXbxeWLoUHnvM1FsvWWIaKs2YcdiQoEK0y+EwEi6UcwAAFD9JREFUAfq668yodK+8YsZ337/fDDazePGhvvcLFpiubn/8oxllbtIk03f9nnukcaMAJAcuRNeVlppiz/XrzXji99wjQ3F2s36fAz9RNTVw993wyCOme9qyZTBxolmnlCnxmTKlawPfiD5FcuBCdFUoZMYR37XL3AwTE81IZvv3m1yT12sGV/niF6OdUjGQZGbCww+bIWNvvtkMh3uk0aPNGPZz5/Z8+kRUSAAXYtcu08hoyxYzbKnX2/52o0eb4s4xY3o2fUK0mDjR9D/fuNE0oATTJqOy0uTQzz/f9Fl/4AHpkjgASAAXA9tbb5npKINB01p4zhwYP94MqBIKma5hLpcZmeuSS2RADhF9SplR4I60YAH8v/8HP/uZaVw5ebLZVinTPiMjw8zaNmyYGXMgK8v0UW8Z8z0rq98O0dtfSQAXA9cf/2gapI0ZY/puFxVFO0VCnLjYWPjRj+BLXzLtM0pLTe5ca/Mw+skn5t95ywxvR8rIgO99z/yf6MpsdSLqJICLgScYhO98x/S5vegiMzOV5KxFf1FUZLqptSccNiME7t1rRo/z+Q6N+f7SS3D77fDrX8Ntt5kW7xLIezUJ4GJgcTrhiivgjTfM0Ja//KUMsCIGDovF9DvPzz963de/Du+/b3LvP/iBqVOfNMmMIHjGGWZ8g9NO6/Eki45Jx1UxcOzbB7NmmRHTVqwwE1FI8BbikOnT4d//hvfeM0XpCQlm4JklS2DsWNNPvaoq2qkUEZIDF/1LKGTq+f5/e/ceXFV57nH8+8hNRxit2o5WEJQBrSjeImLtoFXHIjDeQCutcEQQq1JBHSinOudwnLFU5Y5UQUWlooJyVKBRquMVL0iMVEG8REZrFITjBQhiAHnPH89GYkxgQ3b2u9fav8/MHnayF8nzZiXr2e96L8+HH/oknuOP961NFy3yXdI2bfLe9+mnx45UpHB17eoP8DH0FSvgrrt8dvtjj/mucFdeqX0QItNPX9Jh/Xq4916YONEvNjW1bw+ffuqVv/7xDy0DE9kVZv439Ne/wqWX+hr0a67xdemnnuqrNo4+2pe4qQZ6XukWuiRbCN4raNPGN7g48ECvtb1qlfe0b77Zx/HOO88rQyl5i+y+I47wv6tHH/WthGfPhj/+0WvX/+xnMGmS/01KXqgHLskVgi+buflm6NHDJ92cdNL21886yx8ikjtmvqVw797b694vXeo98qFD4d13/U5YfQV9QvCyu1On+vav11+v9ee7ST1wSaYQYORIT96DBvm4d83kLSKNz8x3fPvNb3xsfMQIL7zSsyd8/fUPj91Wxa9rVz/+uee8psBxx3llNtllSuCSPCH4u/Zbb/WJNFOnqhKYSGx77OHLMqdPh+efhy5dvFJfr15+i71jR9/NcPVq/5tduRJKS2HjRh9LHzjQi7ZI1nTVk2TZssWXt4wf72NvU6YoeYsUkgED/BZ5ixbw5pueqEPwWgLTp8P77/uytBYt4OyzYdkyX3d+//3Qtq1PkPvoox9/3c8/9xKs8j2VE5XkqLkJy/Dh/m7fLHZUkkMqJ1rEli/3v+mZMz3hX3QRdOoEZWX+qKz0cfU+feDqq712wba//+pqf7OwZg1067a9pnoK7KicqBK4JENFhd9+q6jwyTKXXx47ImkESuBCZSVMmOC32auq/NZ7SYlPePvkE18uunYtHHus7w5XVgbl5dv3eG/a1Dds6tHDJ7EefjjstVfcNjVAQSZwM2sDzAAOBLYC00IIE3f0f5TAi9Q//+ljaXvsAXPm+HiZpJISuHxvwwYfMqvdm96wwXvpt98OH3zgyf3kk31y3H77+fWitNTLA29z8MG+lv3II32/90MOyW9bGqBQE/hBwEEhhHIzawW8AZwXQninvv+jBF5ENm6EWbN8jLuszP/w5s3zUoiSWkrgsktCqH8YrbISXnrJ79p9+KE/ysv9Nvwdd0Dfvj88fs0a3+jptNOgXbvGjjxrO0rg0daBhxBWAiszz9eb2XLgYKDeBC5FYNUq35jl7rvhq688cU+e7DtAqTKSiNS0ozkwrVv/OEmvWAH9+sHvfudL2qZM8cQ+eTI8/LCPpe+9N4we7ePsBT5BtiCiM7N2wHHAoriRSDQrV8KwYV4Kcdw4OPNMX4qydKnqE4tIbhx2GLzwgu/lPmuW7+BYUuI7yw0c6Necbt18Jny3bvDee3V/nXXr/A3A8OEwbZqXaY0g+k5sZtYSmAMMCyGsq+P1wcBggEMSNG4hWVq1yvdYnjoVNm+G/v19c4f27WNHJiJp1LQp3HijT3AbM8Znsw8YsH2svVs3eOAB31XumGN88lyrVv5o2RLeeQfeeMMLJzVp4v8+8gjcd5+PtedR1FnoZtYMmA8sCCGM29nxGgNPkS+/9I1YJk/221ZK3ILGwKWArFrltdErKrxY0rp1/m+7dl7N8Ne/9olzM2bAddf5uvY77/TlbzlUkGPgZmbAPcDybJK3pER1Ndx2mz/Wr/cxqlGjoEOH2JGJiGx34IGekHfmiis8mffr5/tUzJ/vS92aNGn0EGPeQj8F6Ae8bWZLMp/7cwihNGJM0pgqKvwXvLzcq4PddJOXIRQRSbKOHWHhQq/N8PnneUneEHcW+kJA22gVi9mzvehI06bwxBNwzjmxIxIRyZ1mzfxuYh6HpQtiFrqkWFWVL8f47W99W8Q331TyFpH0yuP2zkrg0jiqqnxf43btfOvT4cO9ZGDbtrEjExFJBSVwya1vv/UJaoce6vW6TzwRXnvNZ5w3axY7OhGR1Ii+DlxS5JtvvODIs8/6GstRo3yPYhERyTklcMmNqiro1cv3Hr7/fl/XLSIijUYJXBpu/Xov3ffKK76DUe39h0VEJOeUwKVh1q6Fs8+G11/3YgAXXhg7IhGRoqBJbLJ7QvDa3J06weLFvs5byVtEJG+UwGXXrVjh4919+sABB/i49wUXxI5KRKSoKIFL9r74wqv4dOrka7rHjYOyMt/QX0RE8kpj4LJzn38OY8f6hiwbNviuamPGQOvWsSMTESla6oHLjm3blGXsWN8CdelSn6ym5C0iEpV64FK/CRNgxAivHHbLLV5xR0RECoISuNRtxgy49lro3RtmzcpbeTwREcmObqHLj82dC5ddBmeeCTNnKnmLiBQg9cBluxBgwQK46CI44QR47DFo0SJ2VCIiUgf1wAU++8xnlXfu7LuqtW8PpaXQsmXsyEREpB5K4MXsu++gXz9o08brdbdqBXfcAa++CvvvHzs6ERHZAd1CL2bjxnnxkaFD4eqroUOH2BGJiEiWlMCL1Vtv+a5qF1wA48eDWeyIRERkF+gWejGqrvZb5z/5CUydquQtIpJA6oEXo1GjvAc+f74XIxERkcRRD7zYvPwy3HorXH459OwZOxoREdlN6oGnXQjw73/DwoWevOfMgbZtfW9zERFJLCXwNCsv98phFRX+catW8MtfwujR/lxERBJLCTytnnkGzj8f9tsPbr8dfvUrOOoobYsqIpISSuBp9PDD0L8/HHEEPPUU/PznsSMSEZEc0yS2tJk4Efr2hZNPhhdfVPIWEUkpJfC02LoVrr8ehg3zW+cLFsC++8aOSkREGknUBG5m081stZktjRlH4n3zDVx4oW+NOmQIPPII7Lln7KhERKQRxe6B3wd0jxxDsq1eDaef7qU/x4+HyZM1UU1EpAhEncQWQnjRzNrFjCHRXnkFLrkEVq3y9d3nnx87IhERyZPYPXDZHZ9+Cr//PZxyCmzeDM8/r+QtIlJkCj6Bm9lgMyszs7I1a9bEDieu6mr4y1+gY0fvcd94I7z7LnTpEjsyERHJs4JfBx5CmAZMAygpKQmRw4mnutpLf5aWem977Fg49NDYUYmISCQFn8AF2LTJZ5mXlsKdd8IVV8SOSEREIou9jOwh4FXgcDOrNLOBMeMpSJs3+37m8+bB3/6m5C0iIkD8Weh9Y37/grd5s++q9vjjvjzsyitjRyQiIgWi4CexFa3Vq71e95w5vr57yJDYEYmISAHRGHgheuEF73l/9RXccw9cdlnsiEREpMCoB15Itm6Fm2/2ndVatYJFi5S8RUSkTuqBF4rKShgwwOt49+0LU6d6EhcREamDeuCFYPZs6NzZt0a96y6YOVPJW0REdkgJPKa1a6F/f18m1rEjLFkCgwaBWezIRESkwCmBx7JgARx9NDz4IIwaBQsXQocOsaMSEZGE0Bh4vq1dC9df77PLf/ELePllOOmk2FGJiEjCqAeeT08/DZ06wb33wsiRUF6u5C0iIrtFCTxf7rgDuneHffaB116D0aNhzz1jRyUiIgmlBN7Ytm713vZVV0GPHvD663DiibGjEhGRhNMYeGOqrva13Q89BH/4g+9n3lQ/chERaThlk8ayeTP06uUbs4weDX/6k5aHiYhIziiBN5aRIz153303DFSVVBERyS2NgTeGOXNg3Di4+molbxERaRRK4Ln2/vs+7n3SSTB2bOxoREQkpZTAc2nDBujdG5o39/3NW7SIHZGIiKSUxsBzZd06GDwYli2Dp56CQw6JHZGIiKSYEnhDffklTJoEEyfC1197Pe+zzoodlYiIpJwS+O7avNmLkEyaBFVVcN55cMMNUFISOzIRESkCSuC7Y9MmuPhieOwxLwV6ww1eWUxERCRPlMB31aZNcNFF8MQTMGECDB0aOyIRESlCSuC7oroa+vSB+fN9W9QhQ2JHJCIiRUrLyLJVVeVLxObPhylTlLxFRCQqJfBsvPQSdO4MpaVeFvSqq2JHJCIiRU4JfEe+/RaGD4dTT/WPX3jBq4qJiIhEpjHw+nz8MfTs6RuzXHEFjBkDLVvGjkpERARQAq/bpk1w4YXwySfw5JPQvXvsiERERH5ACbwuw4fD4sVeVUzJW0RECpDGwGt79FHfXW3YMLjggtjRiIiI1ClqAjez7mb2nplVmNnImLEAUFEBl13mpUBvuSV2NCIiIvWKlsDNrAkwBTgbOBLoa2ZHxoqHjRt93LtZMy8F2rx5tFBERER2JmYPvAtQEUJYEULYBDwMnBslkrIy73UvWQIzZqgUqIiIFLyYCfxg4JMaH1dmPvcDZjbYzMrMrGzNmjW5jWDjRhgxwpP3F1/AvHm+dExEomh5bEtaHqvlmiLZiDkL3er4XPjRJ0KYBkwDKCkp+dHru+2ll2DgQPjgAxg0CG67DfbdN2dfXkR2XYcJHWKHIJIYMRN4JdCmxsetgc/y9t0XLYItW+CZZ+CMM/L2bUVERHIh5i30xUAHMzvUzJoDFwNz8/bdr70W3n5byVtERBIpWg88hLDFzIYAC4AmwPQQwrK8BdCkCey9d96+nYiISC5F3YkthFAKlMaMQUREJIm0E5uIiEgCKYGLiIgkkIWQu5VZjc3M1gAf5/BLHgD8Xw6/XqFSO9NF7UwXtTNdct3OtiGEn9b1QqISeK6ZWVkIoSR2HI1N7UwXtTNd1M50yWc7dQtdREQkgZTARUREEqjYE/i02AHkidqZLmpnuqid6ZK3dhb1GLiIiEhSFXsPXEREJJGKIoGbWXcze8/MKsxsZB2vX2pma8xsSeYxKEacDWFm081stZktred1M7NJmZ/BW2Z2fL5jzIUs2nmama2tcS7/K98x5oKZtTGz58xsuZktM7OhdRyT+HOaZTsTf07NbE8ze93M/pVp5//UcUwLM5uVOZ+LzKxd/iNtmCzbmfjr7TZm1sTM3jSz+XW81vjnM4SQ6ge+z/qHwGFAc+BfwJG1jrkUuD12rA1sZzfgeGBpPa/3AJ7Ey7h2BRbFjrmR2nkaMD92nDlo50HA8ZnnrYD36/i9Tfw5zbKdiT+nmXPUMvO8GbAI6FrrmKuAOzPPLwZmxY67kdqZ+OttjbZcBzxY1+9nPs5nMfTAuwAVIYQVIYRNwMPAuZFjyrkQwovAlzs45FxgRnCvAfua2UH5iS53smhnKoQQVoYQyjPP1wPLgYNrHZb4c5plOxMvc46qMh82yzxqT0A6F7g/8/xR4AwzszyFmBNZtjMVzKw10BO4u55DGv18FkMCPxj4pMbHldR9geiduQ35qJm1qeP1pMv255AGJ2du4T1pZp1iB9NQmVtvx+G9mZpSdU530E5IwTnN3G5dAqwGng4h1Hs+QwhbgLXA/vmNsuGyaCek43o7ARgBbK3n9UY/n8WQwOt6x1P7HeE8oF0IoTPwDNvfNaVJNj+HNCjHtx48BpgMPB45ngYxs5bAHGBYCGFd7Zfr+C+JPKc7aWcqzmkI4bsQwrFAa6CLmR1V65BUnM8s2pn4662Z9QJWhxDe2NFhdXwup+ezGBJ4JVDzHV5r4LOaB4QQvgghVGc+vAs4IU+x5dNOfw5pEEJYt+0WXvBytc3M7IDIYe0WM2uGJ7WZIYT/reOQVJzTnbUzTecUIITwNfA80L3WS9+fTzNrCuxDgoeL6mtnSq63pwDnmNlH+LDs6Wb2QK1jGv18FkMCXwx0MLNDzaw5Pplgbs0Dao0bnoOPw6XNXKB/ZuZyV2BtCGFl7KByzcwO3DbOZGZd8N/xL+JGtesybbgHWB5CGFfPYYk/p9m0Mw3n1Mx+amb7Zp7vBZwJvFvrsLnAf2Se9wGeDZkZUEmRTTvTcL0NIfxnCKF1CKEdnlOeDSFcUuuwRj+fTXP5xQpRCGGLmQ0BFuAz0qeHEJaZ2U1AWQhhLnCNmZ0DbMHfIV0aLeDdZGYP4bN1DzCzSuC/8QkkhBDuBErxWcsVwDfAgDiRNkwW7ewDXGlmW4CNwMVJuwhmnAL0A97OjCcC/Bk4BFJ1TrNpZxrO6UHA/WbWBH8DMjuEML/Wdege4O9mVoFfhy6OF+5uy6adib/e1iff51M7sYmIiCRQMdxCFxERSR0lcBERkQRSAhcREUkgJXAREZEEUgIXERFJICVwERGRBFICFxERSSAlcBERkQT6f1JBXqj0E/RDAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) \n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Sample the Gaussian Process!\n", + " alpha_full = np.random.multivariate_normal(mean.ravel(), Cov, 1).T\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_max_x, true_max_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kkrpEROO7yro" + }, + "source": [ + "BO-LCB using built in function\n", + "We're looking for the Minimum Now!" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "id": "3Ps5D_XO71Ba" + }, + "outputs": [], + "source": [ + "from GPyOpt.acquisitions import AcquisitionEI, AcquisitionLCB, AcquisitionMPI" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "executionInfo": { + "elapsed": 89708, + "status": "ok", + "timestamp": 1594652301998, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "u-cukiKr7169", + "outputId": "b2638e7a-451e-4154-d1aa-53c7b53316cd" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2876221358.1224165\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# The value (y) and position (x) of the true min\n", + "true_min_y = np.min(Y_grid)\n", + "true_min_x = X_grid[np.argmin(Y_grid)]\n", + "\n", + "# Number of samples \n", + "num_measurements = 1\n", + "\n", + "# Random sample locations\n", + "X_samples = np.random.uniform(0.5, 4.0, (num_measurements, 1))\n", + "\n", + "# Get the function value\n", + "Y_samples = f(X_samples) # <-------------- Remember this is LCB\n", + "\n", + "# Create the necessary variables\n", + "from GPyOpt import Design_space ## GPyOpt design space\n", + "space = Design_space([{'name': 'var_1', 'type': 'continuous', 'domain': (0.5, 4.0)}] )\n", + "from GPyOpt.models import GPModel\n", + "\n", + "for i in range(0, 10):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " model = GPModel(optimize_restarts=1,verbose=False)\n", + " model.model = m\n", + " \n", + " # find the sample \n", + " acq_LCB = AcquisitionLCB(model,space,exploration_weight = 2) # <------------ Beta is a constant = 2\n", + " alpha_full = acq_LCB.acquisition_function(X_grid)\n", + " next_sample_index = np.argmin(alpha_full)\n", + " \n", + " # This plots the objective function, with yellow where we want to sample next.\n", + " # Red X for global minimum, Red dots for the sample selected to be measured next\n", + " plot_BO_results(X_grid, Y_grid, mean, Cov, alpha_full, X_samples, Y_samples, next_sample_index, true_min_x, true_min_y) \n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples, Y_grid[next_sample_index,0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ScLBT0tC78Ip" + }, + "source": [ + "Due to the stochasticity of our active learning methods, we want to see performance over multiple runs. Let's look at performance over 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "id": "j4UUgFXU7-om" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2072148781.2123334\n", + "0\n", + "4847281766.1547165\n", + "0\n", + "2799408699.255387\n", + "0\n", + "2292799975.464172\n", + "0\n", + "4397557243.748522\n", + "0\n", + "2319048856.233075\n", + "0\n", + "2313969186.5926075\n", + "0\n", + "4486676865.200719\n", + "0\n", + "2925349513.429164\n", + "0\n", + "2072708826.7274523\n", + "0\n", + "4887007292.680896\n", + "0\n", + "2771576358.3171887\n", + "0\n", + "2602324397.196176\n", + "0\n", + "2871458636.741908\n", + "0\n", + "2011571516.3795166\n", + "0\n", + "4811776015.014972\n", + "0\n", + "2550093107.1173167\n", + "0\n", + "2519420818.3586555\n", + "0\n", + "3798419540.995146\n", + "0\n", + "2982430962.0767174\n", + "0\n", + "2677263310.022232\n", + "0\n", + "2596724404.092511\n", + "0\n", + "2456195761.3496265\n", + "0\n", + "4489676137.323573\n", + "0\n", + "2518345509.1030455\n", + "0\n", + "4842586735.862191\n", + "0\n", + "4792629994.637552\n", + "0\n", + "2091044439.427632\n", + "0\n", + "4956725804.292513\n", + "0\n", + "3094863054.7925286\n" + ] + } + ], + "source": [ + "# BO by maximizing mean\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALmean_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALmean_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = mean\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALmean_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALmean_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 112403, + "status": "ok", + "timestamp": 1594652324712, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "_q55wuNl8BzV", + "outputId": "09a37225-567b-49b6-e2cb-96ddb372855c" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALmean_ = np.empty(queries_ALmean_.shape)\n", + "for i in range(0, queries_ALmean_.shape[0]):\n", + " minregret_ALmean_[i,:] = calc_min_regret(queries_ALmean_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALmean_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALmean_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "id": "IkDnLIeV8EsW" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "4728469468.543987\n", + "0\n", + "4004625132.422012\n", + "0\n", + "2973638943.1437907\n", + "0\n", + "2297691391.6936197\n", + "0\n", + "2638576394.940292\n", + "0\n", + "3776580166.0675683\n", + "0\n", + "2339833592.0686445\n", + "0\n", + "2527139575.7175636\n", + "0\n", + "2284674485.060337\n", + "0\n", + "3153697713.676095\n", + "0\n", + "2251656592.5509877\n", + "0\n", + "2217643250.4620442\n", + "0\n", + "4840542027.311466\n", + "0\n", + "2619650684.9050045\n", + "0\n", + "3124177786.6842723\n", + "0\n", + "2883844439.188771\n", + "0\n", + "2487148677.8522215\n", + "0\n", + "4502984055.6965275\n", + "0\n", + "2742792358.080822\n", + "0\n", + "2344645368.9957104\n", + "0\n", + "3966511473.7488704\n", + "0\n", + "2737504019.6908765\n", + "0\n", + "4884004836.683494\n", + "0\n", + "4816779416.323184\n", + "0\n", + "3853268385.543044\n", + "0\n", + "2705691209.528984\n", + "0\n", + "2584434433.194055\n", + "0\n", + "2815456283.107728\n", + "0\n", + "4894300047.425492\n", + "0\n", + "3058482051.731032\n" + ] + } + ], + "source": [ + "# BO by maximizing variance\n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALvar_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALvar_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(0.5, 4.0, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " alpha_full = variance\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALvar_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALvar_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 143152, + "status": "ok", + "timestamp": 1594652355477, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "YcSRILz68IB4", + "outputId": "8345fc2b-0fe8-4cb8-e9cd-bec49f707c92" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALvar_ = np.empty(queries_ALvar_.shape)\n", + "for i in range(0, queries_ALvar_.shape[0]):\n", + " minregret_ALvar_[i,:] = calc_min_regret(queries_ALvar_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALvar_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALvar_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "id": "ojEykqnA8NKq" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + 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"3696779427.641561\n" + ] + } + ], + "source": [ + "# Number of samples \n", + "number_of_measurements = 3\n", + "number_of_repetitions = 10\n", + "number_of_iterations = 40\n", + "queries_ALUCB_ = np.empty((number_of_repetitions, number_of_iterations + number_of_measurements))\n", + "rmse_ALUCB_ = np.empty((number_of_repetitions,number_of_iterations))\n", + "\n", + "for j in range(0, number_of_repetitions):\n", + " \n", + " # Random sample locations\n", + " X_samples = np.random.uniform(-np.pi, np.pi * 3/4, (number_of_measurements, 1))\n", + "\n", + " # Get the function value with noise\n", + " Y_samples = f(X_samples) + np.random.normal(0., .1, (X_samples.shape[0],1))\n", + "\n", + " # We will use this matrix to store the GP mean at every iteration.\n", + " Y_estimates = np.full((len(X_grid), number_of_iterations),np.nan)\n", + " \n", + " # store the randomly sampled data\n", + " queries_ALmean_[j,0:3] = Y_samples.ravel()\n", + " \n", + " for i in range(0, number_of_iterations):\n", + " \n", + " # Use GP regression to fit the data\n", + " mean, Cov, variance, m = GP_analysis(X_samples, Y_samples, X_grid)\n", + " \n", + " # Compute UCB\n", + " BO_beta = 2 * math.log(Dsize * math.pow(BO_number_of_iterations,2) * math.pow(np.pi,2) / (6 * BO_lambda) )\n", + " alpha_full = mean + math.sqrt(BO_beta) * variance[:,None]\n", + " \n", + " # find the x value where the GP reaches a maximum\n", + " next_sample_index = np.argmax(alpha_full)\n", + " \n", + " # add the desired sample to our data\n", + " X_samples = np.vstack((X_samples,X_grid[next_sample_index,:]))\n", + " Y_samples = np.vstack((Y_samples,Y_grid[next_sample_index,0]))\n", + " \n", + " # Store the GP mean for this iteration.\n", + " Y_estimates[:,i] = mean.ravel()\n", + " \n", + " # Store the active learning sample\n", + " queries_ALUCB_[j,i+3] = Y_grid[next_sample_index,0]\n", + " rmse_ALUCB_[j,:] = calc_rmse(Y_estimates, Y_grid)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 170976, + "status": "ok", + "timestamp": 1594652383315, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "5_buYVDD8PwX", + "outputId": "80f06e09-562e-4829-98fb-587a4eac91ea" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "minregret_ALUCB_ = np.empty(queries_ALUCB_.shape)\n", + "for i in range(0, queries_ALUCB_.shape[0]):\n", + " minregret_ALUCB_[i,:] = calc_min_regret(queries_ALUCB_[i], Y_grid.max()) \n", + " \n", + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(2,2,1)\n", + "plt.plot(minregret_ALUCB_.T)\n", + "plt.title('Min Regret of each run')\n", + "plt.subplot(2,2,3)\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0))\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "plt.subplot(2,2,2)\n", + "plt.plot(rmse_ALUCB_.T)\n", + "plt.title('RMSE of each run')\n", + "plt.subplot(2,2,4)\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0))\n", + "plt.title('Avg of RMSE over runs')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 353 + }, + "executionInfo": { + "elapsed": 171356, + "status": "ok", + "timestamp": 1594652383704, + "user": { + "displayName": "Alex Wang", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GibSLhjedatgtrWznYR3CJdbOL0vuy9S-ZBtn5H=s64", + "userId": "06954711203411773855" + }, + "user_tz": 240 + }, + "id": "KeBcoGtb8R2w", + "outputId": "4b56be31-68ef-4006-bf29-1cd625a4af05" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Avg of RMSE over runs')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = FIGSIZE)\n", + "plt.subplot(1,2,1)\n", + "plt.plot(np.mean(minregret_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(minregret_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(minregret_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of min regret over runs')\n", + "plt.ylim((0,1))\n", + "\n", + "plt.subplot(1,2,2)\n", + "plt.plot(np.mean(rmse_ALmean_,axis = 0),'r')\n", + "plt.plot(np.mean(rmse_ALvar_,axis = 0),'b')\n", + "plt.plot(np.mean(rmse_ALUCB_,axis = 0),'m')\n", + "plt.title('Avg of RMSE over runs')" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "Gaussian Processes and Active Learning 200722a.ipynb", + "provenance": [], + "toc_visible": true + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/LMN_Slope.csv b/LMN_Slope.csv index 219ff617..d580a064 100644 --- a/LMN_Slope.csv +++ b/LMN_Slope.csv @@ -1,19 +1,19 @@ -Div,Slope Percentage,Slope -0,0.844473945,0.008445 -1,0.962320838,0.009623 -2,0.875744486,0.008757 -3,1.045122883,0.010451 -4,1.274639841,0.012746 -5,1.230273086,0.012303 -6,1.206995941,0.01207 -7,0.877258343,0.008773 -8,0.939072681,0.009391 -9,0.857724884,0.008577 -10,1.35960051,0.013596 -11,1.082900459,0.010829 -12,0.918819854,0.009188 -13,1.04422032,0.010442 -14,1.111052197,0.011111 -15,0.928986203,0.00929 -16,1.24460843,0.012446 -17,0.959082267,0.009591 +Div,Slope Percentage,Slope +0,0.844473945,0.008445 +1,0.962320838,0.009623 +2,0.875744486,0.008757 +3,1.045122883,0.010451 +4,1.274639841,0.012746 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STREET,R8A, , , , , , , , , ,N,C1,2,0,P,249 EAST SECOND STREE,1450,7050,0,7050,0,0,0,0,0,0,2,1,5,20,20,25,56,25,54, ,2,Y,4,2,219150,1088100,0,0,1961,1985,0, , ,4.86,6,0,6,1,1003840029,0,2202,989320,201995,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,174.257138,1586.515377,868950,1,0,20,19,7,1575,16.6222229,16.91222191,0.289999008,16.82277734,0.085097838,117.7594414 +20,MN,741,5,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,357 WEST 17 STREET,R8B, , , , , , , , , ,N,A4,1,0,P,CHELSEA BOYS DEVELOPE,2300,11418,0,11418,0,0,0,0,0,0,2,1,5,1,1,25,92,25,92, ,3,N,5,5,456240,645976,0,0,1920,2015,2015, , ,4.96,4,0,4,1,1007410005,0,83,983326,209909,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,242.4654851,2509.779419,189736,7,0,21,20,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +21,MN,809,66,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,138 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,136 WEST 34 ST ASSOCL,2469,11344,11344,0,0,3800,0,0,0,7544,2,1,5,0,3,25,98.75,25,99,E,3,N,5,2,922500,6570450,0,0,1910,1987,0, , ,4.59,10,15,15,1,1008090066,0,101,987118,212624,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,252.0666923,2374.028179,5647950,6,0,22,21,10,2250,41.24700165,43.16888809,1.921886444,41.43919029,0.576565933,414.3919029 +22,MN,402,49,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,533 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,533 E 6 ST H D F C,2271,8682,0,8682,0,0,0,0,0,0,2,1,5,6,6,25,90.83,25,56, ,3,N,5,1,40985,182118,40985,132084,1900,1980,2005, , ,3.82,3,0,3,1,1004020049,0,32,989172,203407,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,235.9532472,2304.187534,141133,1,0,23,22,11,2475,12.85000038,15.46777725,2.617776871,13.53404062,0.898485134,148.8744469 +23,MN,819,30,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,13 WEST 17 STREET,C6-4A, , , , , , , , , ,N,S9,4,0, ,"FRANKEL, EMILY",2484,9395,3758,5637,0,3758,0,0,0,0,2,1,4,2,4,27,92,27,72, ,3,N,5,2,75342,828763,0,0,1840,2003,0,Ladies' 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,17V1.1,0,213.2590175,1856.978425,572400,8,0,49,48,6,1350,12.27999973,12.64888859,0.368888855,12.34148121,0.137476759,74.04888725 +49,MN,437,35,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,435 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,435 EAST 9TH STREET R,2306,7413,1853,5559,0,1853,0,0,0,0,2,2,4,22,24,25,92.25,25,42, ,0,N,5,2,144450,1082250,0,0,1900,1986,0, , ,3.21,4,0,4,1,1004370035,0,34,988904,204406,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,244.4723887,2458.695461,937800,12,0,50,49,11,2475,17.51666641,20.65999985,3.143333435,18.08070686,1.196638874,198.8877754 +50,MN,164,3,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,34 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,"NG FOOK REALTY, INC.",5430,22052,5000,17052,0,5000,0,0,0,0,2,2,6,27,28,67.58,84.42,68,73, ,3,Y,5,2,366750,1966050,0,0,1915,0,0, , ,4.06,3.44,6,6.5,1,1001640003,0,29,984416,199668,12d, ,101S032,10105, ,0, ,1, , 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,17V1.1,7,718.9237965,31639.9912,23347800,15,1,53,52,141,31725,11.56111145,13.97888851,2.417777061,12.61654086,0.278398594,1778.932261 +53,MN,859,30,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,35 EAST 29 STREET,C5-2, , , , , , , , , ,N,C0,2,0,P,AMBASSADOR VESVOLOD G,2107,5670,0,4536,0,0,0,0,0,0,2,1,4,3,3,21.33,98.75,21,54, ,3,N,5,1,119198,205977,119198,205977,1910,0,0, , ,2.69,10,10,10,1,1008590030,0,74,988588,210513,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,252.8146429,2310.532861,86779,11,0,54,53,10,2250,37.60300064,38.3833313,0.780330658,37.84188957,0.329964038,378.4188957 +54,MN,466,45,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,125 EAST 10 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,125 EAST 10TH STREET,1324,3225,0,3225,0,0,0,0,0,0,2,1,4,1,1,14,94.58,14,60, ,3,Y,5,2,28108,107424,0,0,1901,2008,0,St. Mark's Historic District, ,2.44,4,0,4,1,1004660045,0,40,987659,205375,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,220.4674115,1374.996746,79316,12,0,55,54,5,1125,32.08111191,32.08111191,0,32.08111191,0,160.4055595 +55,MN,990,70,106,44,5004,2,4,10009,L011,13,14,6000,1,6,1A,292 AVENUE C,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,44000,750,750,0,750,0,0,0,0,0,2,1,1,0,1,171.5,324.67,25,30, ,0,Y,3,5,3096000,3685950,3096000,3685950,1920,0,0, , ,0.02,0,0,0,1,1009900070,0,44,991581,205356,12c, ,102 032,10310, ,0, ,1,1,1,17V1.1,0,937.978606,43312.58497,589950,5,1,56,55,193,43425,6.340000153,9.21333313,2.873332977,7.375480766,0.765538663,1423.467788 +56,MN,888,47,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,156 EAST 33 STREET,R8B, , , , , , , , , ,N,S4,4,0, ,156 EAST 33RD STREET,938,3750,797,2953,0,797,0,0,0,0,2,1,4,4,5,37.5,25,38,25, ,3,N,5,5,144669,335927,0,0,1910,2013,0, , ,4,4,0,4,1,1008880047,0,72,989966,210791,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,132.433325,1063.39741,191258,10,0,57,56,5,1125,24.35555458,28.17111206,3.81555748,25.11866608,1.526222992,125.5933304 +57,MN,764,22,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,231 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,M1,8,0, ,ROMAN CATH CHRCH OURL,3000,8125,8125,0,0,0,0,0,0,8125,2,1,5,0,2,25,120,25,61, ,3,N,5,2,422550,726300,0,0,1920,1985,0, , ,2.71,6.02,6,6.5,1,1007640022,0,81,984006,208657,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,309.7906598,3309.95329,303750,7,0,58,57,16,3600,24.40066719,25.26333237,0.862665176,24.53870773,0.21567331,392.6193237 +58,MN,771,51,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,222 WEST 22 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,CHANTAL BACON 2012 IR,1975,2460,0,2460,0,0,0,0,0,0,2,1,3,1,1,20,98.75,20,41,E,0,N,5,2,38283,135909,0,0,1901,1950,0, , ,1.25,4,0,4,1,1007710051,0,87,985055,210186,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,240.5582465,1976.331017,97626,7,0,59,58,10,2250,22.72999954,27.57111168,4.841112137,24.44266644,1.823868967,244.4266644 +59,MN,618,48,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,217 WEST 13 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"MOLNER, THOMAS E.",1562,4475,0,4475,0,0,0,0,0,0,2,1,4,5,5,21,75,21,47,E,3,N,5,5,173278,291922,0,0,1915,0,0,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1006180048,0,77,983967,208307,8d,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,195.8022193,1546.132763,118644,8,0,60,59,7,1575,22.30444527,23.99222183,1.687776566,22.77777835,0.74859005,159.4444485 +60,MN,573,16,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,52 WEST 10 STREET,R6, , , , , , , , , ,N,B2,1,0, ,"LAJBOSCHITZ, LENNART",1976,2720,0,2720,0,0,0,0,0,0,2,1,2.5,2,2,21.42,92.25,21.42,74, ,3,N,5,2,45720,175840,0,0,1899,0,0,Greenwich Village Historic District, ,1.38,2.43,0,4.8,1,1005730016,0,63,984849,206761,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.8987655,2003.851436,130120,8,0,61,60,9,2025,18.98099899,20.8093338,1.828334808,19.18414731,0.574590196,172.6573257 +61,MN,923,20,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,331 EAST 17 STREET,R8A, , , , , , , , , ,N,C1,2,0, ,STUYVESANT SQUARE APA,2131,6146,0,6146,0,0,0,0,0,0,2,1,4,12,12,23.17,92,23.17,55,E,2,N,5,2,243900,701100,0,0,1910,1987,2004, , ,2.88,6,0,6,1,1009230020,0,48,989192,206660,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,241.9616505,2291.653346,457200,5,0,62,61,10,2250,16.06999969,18.03777885,1.96777916,16.50077763,0.706077837,165.0077763 +62,MN,905,35,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,242 EAST 25 STREET,C1-8A,R8B, , , , , , , , ,Y,D1,3,0, ,"ALI, MOHAMMAD",5728,48020,0,48020,0,0,0,0,0,0,2,1,13,54,54,58,98.75,58,75, ,3,N,5,2,2160000,5387850,2360,2360,2004,0,0, , ,8.38,7.52,2,7.5,1,1009050035,0,66,989640,208576,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,316.6649559,5846.741159,3227850,11,0,63,62,27,6075,26.78800011,31.10000038,4.312000275,27.19534168,1.162155452,734.2742252 +63,MN,843,29,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,29 UNION SQUARE,C6-4,C6-2A, , , , ,US, , , ,Y,O5,5,0, ,UNION SQUARE BROADWAY,9219,46095,46095,0,37095,9000,0,0,0,0,2,1,5,0,20,65,141.83,62,142, ,3,N,3,2,1723500,7389000,0,0,1959,0,0, , ,5,10,10,10,1,1008430029,0,52,986693,207611,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,437.2626898,10278.28404,5665500,7,0,64,63,45,10125,37.06999969,42.27000046,5.200000763,37.58624658,1.399225285,1691.381096 +64,MN,507,31,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,266 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,L8,6,0,P,266 ETON HOLDING CORP,1613,5164,5164,0,0,1291,0,3873,0,0,2,1,4,3,4,16.33,98.75,16,89,E,3,N,5,2,112500,495900,0,0,1920,0,0, , ,3.2,3.44,6,6.5,1,1005070031,0,43,986121,202853,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,241.162409,1698.348123,383400,9,0,65,64,7,1575,44.71333313,44.71333313,0,44.71333313,0,312.9933319 +65,MN,618,40,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,42 7 AVENUE,C2-6, , , , , , , , , ,N,P5,8,0,X,METROPOLITAN TEMPLE,6800,27200,27200,0,0,0,0,0,0,27200,2,1,4,0,1,68,100,68,100, ,1,N,3,2,1057500,1966950,1057500,1966950,1931,1985,0,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1006180040,0,77,984144,208204,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,343.972853,7156.082598,909450,8,0,66,65,33,7425,22.30444527,24.1511116,1.846666336,22.36040485,0.316555222,737.8933601 +66,MN,297,30,103,16,5000,2,1,10002,E015,7,14,7400,1,3,1B,23 CANAL STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,23 CANAL STREET LLC,6763,23397,7760,15637,1760,4143,0,0,0,0,2,2,4,17,24,90.58,94.5,43.33,52.25,E,0,Y,3,5,508500,1620900,0,0,1900,0,0, , ,3.46,6.02,6,6.5,1,1002970030,0,16,986878,199667,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,363.1767803,7277.794694,1112400,13,0,67,66,32,7200,32.98300171,36.01444626,3.03144455,33.59809875,1.100500942,1075.13916 +67,MN,402,23,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,156 EAST 7 STREET,R7B, , , , , , , , , ,N,D3,3,0, ,PETER HERRICK,6815,20382,500,19882,500,0,0,0,0,0,2,1,5,32,33,75,90.83,75,53, ,3,N,5,2,382500,1944900,0,0,1915,1985,0, , ,2.99,3,0,3,1,1004020023,0,32,989151,203525,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,336.3063029,6994.38713,1562400,12,0,68,67,32,7200,12.85000038,15.05444431,2.204443932,13.33802104,0.683205458,426.8166733 +68,MN,542,43,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,1 MINETTA LANE,R7-2, , , ,C1-5, , , , , ,N,B9,1,0,P,ONE MINETTA LLC,940,1938,0,1938,0,0,0,0,0,0,2,1,3,2,2,19.58,43.17,19.58,36, ,2,N,5,2,32373,111831,0,0,1899,0,0,South Village Historic District, ,2.06,3.44,0,6.5,1,1005420043,0,65,983999,205260,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,130.554726,880.4554296,79458,9,0,69,68,4,900,18.38111115,18.38111115,0,18.38111115,0,73.52444458 +69,MN,864,52,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,24 EAST 35 STREET,R9X, , , , , , , , , ,N,S2,4,0, ,N & F ASANO REALTY LL,2041,5957,1000,4957,0,0,0,0,0,1000,2,1,4,2,3,20.67,98.75,21,60,E,3,N,5,1,151347,189277,0,0,1925,0,0, , ,2.92,9,0,9,1,1008640052,0,74,989234,211792,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,247.2278141,2124.157734,37930,10,0,70,69,9,2025,60.8769989,62.09988785,1.222888947,61.01287545,0.384316919,549.1158791 +70,MN,440,8,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4B,214 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,214 FIRST REALTY CORP,3360,16760,2793,13967,0,2793,0,0,0,0,2,1,6,25,28,42,80,42,80, ,3,N,3,2,396450,3412350,0,0,1910,1984,2010, , ,4.99,4,0,4,1,1004400008,0,34,988994,205389,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,250.4852428,3584.310989,3015900,12,0,71,70,17,3825,18.24200058,22.03000069,3.788000107,19.00321624,1.330201499,323.0546761 +71,MN,884,7,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,107 EAST 28 STREET,C4-5A,C6-4A, , , , , , , , ,Y,U2,7,0, ,CON ED OF NY,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,135,197.5,0,0, ,0,Y,5,5,7168000,13788000,0,0,0,0,0, , ,0,4,4,4,1,1008840007,0,72,988919,210088,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,672.6395695,24053.50263,6620000,11,0,72,71,107,24075,32.07600021,40.95444489,8.878444672,32.31888908,1.220607754,3458.121132 +72,MN,449,4,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,124 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,"124 SECOND AVENUE, LL",3343,16329,2721,13608,0,2721,0,0,0,0,2,1,6,22,24,26.67,125,27,113, ,3,N,5,2,576000,1946700,0,0,1920,1978,0, , ,4.88,4,0,4,1,1004490004,0,38,987699,204555,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,306.7526795,3259.554433,1370700,12,0,73,72,15,3375,26.66699982,26.66699982,0,26.66699982,0,400.0049973 +73,MN,911,55,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,216 EAST 31 STREET,R7B, , , , , , , , , ,N,A4,1,0,P,"GATTANI, PAVAN",1975,3120,0,3120,0,0,0,0,0,0,2,1,4,1,1,20,98.75,20,51, ,3,N,5,2,69978,174182,0,0,1899,0,0, , ,1.58,3,0,3,1,1009110055,0,70,990117,210078,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,244.2503568,1989.625725,104204,10,0,74,73,8,1800,29.22888947,31.33600044,2.107110977,29.49227834,0.696861454,235.9382267 +74,MN,874,7502,105,50,2001,2,2,10003,E014,13,14,5300,1,5, ,117 EAST 18 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,2300,7073,1355,5718,0,1355,0,0,0,0,2,1,7,4,5,25,92,25,92, ,0,N,5,5,94151,1143279,0,0,1930,0,0, , ,3.08,4,0,4,1,1008747502,973,50,987723,207753,12c, ,100 000,10307, ,1008740012,12/24/1997,1, , ,17V1.1,7,240.0420179,2375.577961,1049130,5,0,75,74,11,2475,33.91699982,34.67022324,0.753223419,33.98547467,0.216536508,373.8402214 +75,MN,614,39,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,241 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"BELUGA PROPERTIES, LL",1900,4256,0,3192,0,0,0,0,0,0,2,1,3,1,1,18.75,100,18.75,44,E,3,Y,5,1,64448,190771,0,0,1899,2014,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1006140039,0,77,983427,207597,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,243.324034,2028.007133,126323,8,0,76,75,9,2025,26.80333328,26.80333328,0,26.80333328,0,241.2299995 +76,MN,206,22,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,115 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,115 MULBERRY LLC,2521,8422,2000,6422,0,2000,0,0,0,0,2,2,5,18,19,25.08,100.5,25,52, ,0,N,5,5,135000,989550,0,0,1910,1986,0, , ,3.34,6.02,6,6.5,1,1002060022,0,41,984665,200759,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,255.8336171,2627.10758,854550,0,0,77,76,10,2250,25.95999908,33.84000015,7.880001068,32.26399994,3.152000427,322.6399994 +77,MN,593,7501,102,71,5000,2,3,10014,E024,6,15,6100,2,2, ,10 CHRISTOPHER STREET,R6,C4-5, , , , ,LC, , , ,Y,RM,4,0, ,OWNER / AGENT,4537,13823,3824,9999,0,3824,0,0,0,0,2,1,7,31,32,40.5,88.67,0,0, ,0,N,5,5,542250,2542500,7080,7080,1940,0,0,Greenwich Village Historic District, ,3.05,2.43,0,4.8,1,1005937501,663,71,984195,206608,12c, ,103 017,10208, ,1005930010,11/29/1989,1, , ,17V1.1,7,321.4057461,4742.355949,2000250,8,0,78,77,20,4500,17.50333405,18.04388809,0.540554047,17.53036175,0.117811023,350.607235 +78,MN,872,13,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,35 IRVING PLACE,C6-2A,R8A, , , , , , , , ,Y,O3,5,0,P,57 115 ASSOC,24764,288402,288402,0,288402,0,0,0,0,0,2,1,11,0,1,146,225,146,225, ,3,Y,3,2,11295000,29423700,0,0,1909,1967,0, , ,11.65,6.02,6,6.5,1,1008720013,0,50,987547,207294,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,754.550395,25700.2607,18128700,5,0,79,78,113,25425,35.47555542,39.86333466,4.387779236,35.54324472,0.509812662,4016.386654 +79,MN,442,19,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,47 EAST 1 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,47 EAST FIRST LLC,1491,6769,0,6769,0,0,0,0,0,0,2,1,5,10,10,20.58,72.08,21,52, ,3,Y,5,2,18415,205981,0,0,1900,1986,2009, , ,4.54,4,0,4,1,1004420019,0,3602,987052,202932,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,191.0344065,1537.916861,187566,1,0,80,79,7,1575,36.32099915,37.44333267,1.122333527,36.48306274,0.392050829,255.3814392 +80,MN,478,25,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,180 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,BOHO CORP.,5000,12400,12400,0,0,5000,0,0,0,7400,2,1,3,0,1,50.17,100,50,89,E,3,N,5,2,1012500,1691550,0,0,1949,0,0, , ,2.48,3.44,6,6.5,1,1004780025,0,41,985836,201855,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,302.6510388,5136.274743,679050,0,0,81,80,22,4950,38.05444717,40.36999893,2.315551758,38.15969953,0.482326873,839.5133896 +81,MN,874,15,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,123 EAST 18 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,123 E 18 ST CORP,2000,7850,1900,5950,0,1900,0,0,0,0,2,1,5,8,9,21.75,92,22,58,E,3,N,5,2,51154,632693,0,0,1960,2009,2009, , ,3.93,4,0,4,1,1008740015,0,50,987782,207720,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,236.8699792,2225.1891,581539,5,0,82,81,11,2475,33.91699982,35.97999954,2.062999725,34.10454525,0.593070722,375.1499977 +82,MN,610,28,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,35 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0,P,NEW YORK PROPERTY HOL,2400,10608,1200,9408,0,1200,0,0,0,0,2,1,6,22,24,32.08,74.83,32,62, ,3,N,5,2,390600,2403000,0,0,1900,2012,0,Greenwich Village Historic District, ,4.42,2.43,0,4.8,1,1006100028,0,73,983842,206687,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,219.068452,2591.791342,2012400,8,0,83,82,11,2475,20.06299973,20.06299973,0,20.06299973,0,220.692997 +83,MN,924,54,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,322 EAST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,LOZYNSKYJ ASKOLD S,1840,5253,0,5253,0,0,0,0,0,0,2,1,4,5,5,20,92,21,80,E,3,N,5,5,104861,400143,0,0,1910,0,0, , ,2.85,3,0,3,1,1009240054,0,48,989259,207010,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,232.1202441,2022.554708,295282,5,0,84,83,9,2025,14.83555603,17.84000015,3.004444122,15.16938316,0.944205694,136.5244484 +84,MN,471,7,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,7 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,O9,5,0, ,CB HILL LLC,1067,4832,3047,1785,1987,1060,0,0,0,0,2,1,5,2,4,24.75,47,25,49, ,3,Y,5,2,121500,621450,0,0,1900,2003,0, , ,4.53,6.02,6,6.5,1,1004710007,0,41,984933,201642,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,142.8344252,1142.784237,499950,0,0,85,84,5,1125,24.86333275,24.86333275,0,24.86333275,0,124.3166637 +85,MN,886,13,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,117 EAST 30 STREET,C4-5A, , , , , , , , , ,N,O2,5,0, ,WORTHINGTON L P,1821,5462,5462,0,5462,0,0,0,0,0,2,1,4,0,2,18.67,98.75,18.67,65, ,3,N,5,1,364500,1378800,0,0,1910,0,0, , ,3,4,4,4,1,1008860013,0,72,989164,210488,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,248.6350644,2040.202877,1014300,10,0,86,85,10,2250,33.23199844,33.23199844,0,33.23199844,0,332.3199844 +86,MN,373,57,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,297 EAST 3 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,ASSEMBLY CHRISTIAN CH,2524,4678,4678,0,0,0,0,0,0,4678,2,1,2,0,1,26.25,96.17,26,88, ,2,N,5,2,130500,292950,130500,292950,1900,0,0, , ,1.85,4,0,4,1,1003730057,0,2601,989948,202111,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,249.5610878,2590.027331,162450,1,0,87,86,11,2475,12.37111092,15.90222168,3.531110764,12.69212099,1.015122971,139.6133308 +87,MN,583,58,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,3 ST LUKES PLACE,C1-6, , , , , , , , , ,N,C0,2,0,P,WEINSTEIN BEVERLY,1362,3952,0,2893,0,0,0,0,0,0,2,1,3,3,3,20.5,67,20.5,42,E,2,Y,5,1,58621,168652,1550,1550,1901,2003,0,Greenwich Village Historic District, ,2.9,3.44,2,6.5,1,1005830058,0,67,982471,205367,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,179.1836148,1407.58266,110031,9,0,88,87,7,1575,15.38333321,18.7966671,3.413333893,16.48101589,1.333846613,115.3671112 +88,MN,451,38,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,149 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,149 ASSOCIATES,2308,7693,2308,5385,0,2308,0,0,0,0,2,2,5,24,26,23.08,100,23,47, ,3,N,5,2,257850,787500,0,0,1900,0,0, , ,3.33,4,0,4,1,1004510038,0,40,988386,204680,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,254.3088817,2529.092579,529650,12,0,89,88,10,2250,23.10400009,26.19555473,3.091554642,23.90237751,1.164803283,239.0237751 +89,MN,873,19,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,130 EAST 18 STREET,R8A,R8B, , , , , , , , ,Y,D4,3,0,P,130 EAST 18 OWNERS CO,22761,187543,18500,169043,3500,0,15000,0,0,0,2,1,16,271,273,105,207.25,104,187, ,2,Y,3,2,2727000,20028600,622596,622596,1962,1987,0, , ,8.24,6,0,6,1,1008730019,0,50,987943,207449,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,802.4053255,24460.53205,17301600,5,0,90,89,108,24300,30.77444458,34.72555542,3.95111084,32.17057315,0.811250275,3474.4219 +90,MN,723,1,104,93,6002,2,3,10001,E003,10,15,5200,1,4,2B,264 10 AVENUE,R8, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,64183,325140,0,325140,0,0,0,0,0,0,2,2,11,240,240,197.5,350,197,139, ,0,Y,3,1,2353500,35674200,2353500,35674200,1940,1987,0, , ,5.07,6.02,0,6.5,1,1007230001,0,93,983599,212155,8b, ,105S008,10302, ,0, ,1, , ,17V1.1,0,1115.406398,67144.64045,33320700,2,1,91,90,298,67050,11.50222206,16.9011097,5.398887634,13.68872263,1.456647219,4079.239345 +91,MN,525,24,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,169 THOMPSON STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,JONIS REALTY /W HOUST,800,4800,640,4160,0,640,0,0,0,0,2,1,6,5,7,32,25,32,25, ,3,N,5,2,43198,198088,0,0,1900,1983,0,South Village Historic District, ,6,3.44,0,6.5,1,1005250024,0,65,984124,204388,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,121.2008342,907.2044038,154890,9,0,92,91,4,900,23.62666702,23.62666702,0,23.62666702,0,94.50666809 +92,MN,437,38,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,429 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ANTOINETTE KOSCINSKI,2306,5112,0,5112,0,0,0,0,0,0,2,1,4,8,8,25,92.25,25,50, ,3,N,5,2,33821,135534,0,0,1900,0,0, , ,2.22,4,0,4,1,1004370038,0,34,988839,204442,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,243.6986613,2421.226598,101713,12,0,93,92,10,2250,17.51666641,19.35666656,1.840000153,18.30922222,0.800732186,183.0922222 +93,MN,608,7503,102,71,2000,2,3,10011,Q018,6,15,6100,3,2, ,138 WEST 13 STREET,R6, , , , , , , , , ,N,R1,2,0, , ,2452,3705,0,3705,0,0,0,0,0,0,2,2,3,3,3,23.75,103.25,0,0, ,0,N,0,5,39337,313735,0,0,1910,0,0,Greenwich Village Historic District, ,1.51,2.43,0,4.8,1,1006087503,1209,71,984493,207847,12c, ,103 027,10209, ,1006080020,12/20/2001,1, , ,17V1.1,7,259.7740697,2437.312724,274398,8,0,94,93,10,2250,24.04400063,29.33777809,5.293777466,25.18668919,1.83792152,251.8668919 +94,MN,753,7501,104,97,4000,2,3,10001,L024,14,15,5500,2,4, ,341 WEST 29 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2173,6080,0,6080,0,0,0,0,0,0,2,1,4,2,2,110,22,0,0, ,0,N,5,5,27730,369600,0,0,1910,0,0,Lamartine Place Historic District, ,2.8,4,0,4,1,1007537501,132,97,984965,212521,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,7,247.8719278,2162.216088,341870,6,0,95,94,10,2250,28.20800018,36.84777832,8.639778137,30.99882202,3.388951191,309.9882202 +95,MN,766,53,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,214 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D4,3,0, ,214 WEST 17TH APARTME,4600,26400,0,26400,0,0,0,0,0,0,2,1,6,13,13,50,92,50,88, ,3,N,5,2,256950,2321550,2360,2360,1900,1980,0, , ,5.74,6.02,6,6.5,1,1007660053,0,81,984480,209099,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,295.4736594,4932.216854,2064600,7,0,96,95,23,5175,21.88888931,26.35777855,4.468889236,22.57764775,1.510059632,519.2858982 +96,MN,271,62,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,23 RUTGERS STREET,R7-2, , , , , , , , , ,N,C3,2,0, ,JEANNE JACKSON TRUST,1342,4064,0,4064,0,0,0,0,0,0,2,1,4,4,4,22,61,22,43, ,2,N,5,5,41832,61490,0,0,1920,0,0, , ,3.03,3.44,0,6.5,1,1002710062,0,6,987059,199068,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,171.7387491,1405.061367,19658,16,0,97,96,6,1350,22.67499924,22.67499924,0,22.67499924,0,136.0499954 +97,MN,97,8,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,108 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,0,P,108 SOUTH STREET ASSO,1314,4760,4760,0,0,1394,0,3366,0,0,2,1,4,0,4,16.75,81,17,82,E,3,Y,5,0,108450,136350,0,0,1830,2015,2015,South Street Seaport Historic District, ,3.62,6.02,6,6.5,1,1000970008,0,1501,983675,196891,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,202.8834106,1439.549142,27900,4,1,98,97,6,1350,5.993332863,5.993332863,0,5.993332863,0,35.95999718 +98,MN,822,29,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,7 WEST 20 STREET,C6-4A, , , , , , , , , ,N,C4,2,0,P,THREE SEVENS LLC,2300,9225,2500,6725,0,2500,0,0,0,0,2,1,5,8,9,25,92,25,71,E,3,N,5,2,86094,487506,0,0,1920,1988,0,Ladies' Mile Historic District, ,4.01,10,10,10,1,1008220029,0,54,986547,208962,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,243.3535279,2363.378306,401412,7,0,99,98,9,2025,34.23199844,35.09799957,0.866001129,34.32822079,0.272157898,308.9539871 +99,MN,517,3,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,137 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,GEMMA HOLDINGS LLC,3700,15515,888,14627,0,888,0,0,0,0,2,1,6,28,30,37,100,37,85, ,3,N,5,2,392400,3361500,0,0,1915,0,0,Sullivan-Thompson Historic District, ,4.19,3.44,0,6.5,1,1005170003,0,49,983752,204067,12a, ,101N071,10206, ,0, ,1, , 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,17V1.1,0,214.9308421,2132.874213,373466,11,0,125,124,9,2025,22.27111053,22.94888878,0.677778244,22.34641923,0.213005152,201.1177731 +125,MN,906,38,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,232 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,LINWARD REALTY CORP,2716,10755,0,10755,0,0,0,0,0,0,2,1,5,22,22,27.5,98.75,28,87, ,3,N,5,1,108450,1202400,0,0,1920,0,0, , ,3.96,4,0,4,1,1009060038,0,66,989710,208833,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,259.5590558,2781.531406,1093950,11,0,126,125,13,2925,30.96199989,32.26466751,1.302667618,31.13410245,0.410018017,404.7433319 +126,MN,429,29,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,137 EAST 2 STREET,R8B, , , ,C2-5, , , , , ,N,P5,8,0,X,THE CATHOLIC CHARITIE,8790,37280,37280,0,0,0,0,0,0,37280,2,1,3,0,2,86,105.92,86,102, ,3,Y,5,2,751500,3144150,751500,3144150,1962,1985,0, , ,4.24,4,0,4,1,1004290029,0,3002,988028,202686,12c, ,102 011,10205, ,0, ,1, , 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,1,17V1.1,0,248.0816866,2671.827744,517050,12,1,129,128,12,2700,8.318888664,9.08555603,0.766667366,8.382777611,0.211895666,100.5933313 +129,MN,304,29,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,87 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,CITIRICH REALTY CORP.,1900,10716,1785,8931,0,1785,0,0,0,0,2,1,6,10,11,19,100,19,90, ,3,N,5,1,157500,1134000,0,0,1900,1988,0, , ,5.64,3.44,6,6.5,1,1003040029,0,16,985782,200718,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,248.0290366,2034.042314,976500,0,0,130,129,9,2025,34.17111206,34.17111206,0,34.17111206,0,307.5400085 +130,MN,199,7,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,91 BAXTER STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,CARBAX RLTY CORP,5060,27528,5000,22528,0,5000,0,0,0,0,2,2,7,44,45,50,101,25,90, ,0,N,5,5,311400,1222200,0,0,1880,1985,0, , ,5.44,3.44,6,6.5,1,1001990007,0,29,984405,200451,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,310.3148806,5263.073609,910800,14,0,131,130,24,5400,21.97333336,24.61777878,2.644445419,22.5366385,0.530568638,540.879324 +131,MN,553,15,102,63,5001,2,1,10011,E033,6,15,5700,1,2,3A,52 WEST 8 STREET,C4-5,R6, , , , ,LC, , , ,Y,O2,5,0, ,L&M 52 WEST 8TH LLC,6763,20448,20448,0,20448,0,0,0,0,0,2,1,3,0,4,48,142,48,140, ,3,Y,5,2,774000,2049300,0,0,1929,2013,2013,Greenwich Village Historic District, ,3.02,3.44,3.4,6.5,1,1005530015,0,63,984533,206345,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,378.9155093,6712.093392,1275300,8,0,132,131,30,6750,17.50333405,17.50333405,0,17.50333405,0,525.1000214 +132,MN,715,3,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,118 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,BARMAPOV BENNY,6883,13760,13760,0,0,13760,0,0,0,0,2,1,1,0,1,68.83,100,69,100, ,3,N,5,0,900000,3760650,0,0,1950,1988,2000, , ,2,7.52,6,10,1,1007150003,0,83,982501,210407,8b, ,103 041,10302,E-142,0, ,1, ,1,17V1.1,0,345.7579955,7171.372797,2860650,7,1,133,132,31,6975,9.883333206,11.21000004,1.326666832,11.11924734,0.29015446,344.6966677 +133,MN,797,17,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,143 WEST 21 STREET,C6-3A, , , , , , , , , ,N,D0,3,0, ,143 WEST 21ST OWNERS,1967,5726,0,5726,0,0,0,0,0,0,2,1,5,5,5,19.42,98.75,19,73,E,3,N,5,2,60446,257514,0,0,1910,1986,0, , ,2.91,7.52,6,7.5,1,1007970017,0,87,985565,209789,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,243.1853545,1825.945821,197068,7,0,134,133,8,1800,28.16444397,28.16444397,0,28.16444397,0,225.3155518 +134,MN,719,4,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,467 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,A5,1,0, ,ANNE E DELANEY,1975,2795,0,2795,0,0,0,0,0,0,2,1,3,1,1,20,98.75,20,35,E,3,N,5,2,51952,184152,0,0,1920,0,0,Chelsea Historic District, ,1.42,3,0,3,1,1007190004,0,89,982979,211223,8b, ,103 042,10302, ,0, ,1,1,1,17V1.1,0,242.3761296,1904.749751,132200,7,1,135,134,8,1800,9.307999611,9.307999611,0,9.307999611,0,74.46399689 +135,MN,300,13,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,94 HESTER STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,94 HESTER ST HSG DEVE,2758,12351,1739,10612,0,1739,0,0,0,0,2,1,5,12,16,66.17,41.67,66,41,E,3,Y,3,2,247500,1018800,247500,741492,1920,1987,2008, , ,4.48,3.44,6,6.5,1,1003000013,0,16,986276,200246,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,228.3111427,3109.822935,771300,13,0,136,135,14,3150,39.09000015,40.46222305,1.3722229,39.38176237,0.470489428,551.3446732 +136,MN,447,14,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,316 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,ROZOF ARTHUR,2425,6800,0,6800,0,0,0,0,0,0,2,1,5,20,20,25,97,25,52, ,3,N,5,2,220500,813600,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.8,4,0,4,1,1004470014,0,38,987639,204083,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.582273,2524.880901,593100,1,0,137,136,10,2250,28.15800095,33.57333374,5.415332794,29.14793396,1.780608055,291.4793396 +137,MN,488,21,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,166 SPRING STREET,M1-5A, , , , , , , , , ,N,K4,4,0,P,402 HOLDING CORP,2397,12300,7530,4770,0,5020,0,2510,0,0,2,1,5,4,7,37.17,67.5,37.17,67.5, ,0,Y,3,2,621000,3493350,0,0,1900,2012,0,SoHo-Cast Iron Historic District Extensi, ,5.13,0,5,6.5,1,1004880021,0,47,983637,203227,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,217.7863727,2657.126725,2872350,0,1,138,137,12,2700,9.686666489,13.68999958,4.003333092,10.20482389,1.214807524,122.4578867 +138,MN,274,6,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,57 MONROE STREET,C8-4, , , , , , , , , ,N,T9,7,0,C,SANITATION,33415,33831,33831,0,0,0,0,0,0,33831,2,2,2,0,0,167.08,209,120,56, ,0,Y,5,5,1451250,1795500,1451250,1795500,1936,0,0, , ,1.01,0,5,6.5,1,1002740006,0,8,986109,198690,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,761.644922,34249.09729,344250,16,0,139,138,152,34200,25.05999947,32.76222229,7.702222824,30.43620832,1.907810301,4626.303665 +139,MN,520,28,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,195 WEST HOUSTON STREET,R6, , , , , , , , , ,N,O2,5,0,P,GILDA'S CLUB NEW YORK,2500,9250,9250,0,9250,0,0,0,0,0,2,1,4,0,1,25,100,25,100,E,1,N,5,2,365850,982350,365850,982350,1900,0,0, , ,3.7,2.43,0,4.8,1,1005200028,0,37,983191,204592,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,251.1871115,2624.563612,616500,9,0,140,139,10,2250,16.76099968,16.76099968,0,16.76099968,0,167.6099968 +140,MN,376,24,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,264 EAST 7 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,264 EAST 7TH HOLDINGS,2059,3696,0,2772,0,0,0,0,0,0,2,1,3,3,3,22.67,90.83,22.67,42, ,3,N,5,1,8970,26742,0,0,1900,0,0, , ,1.8,4,0,4,1,1003760024,0,2602,990468,202794,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,234.4728228,2252.829293,17772,12,1,141,140,10,2250,7.864444256,11.20555496,3.341110706,8.431910849,1.048573756,84.31910849 +141,MN,377,37,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,107 AVENUE D,R8A, , , ,C1-5, , , , , ,N,D5,3,0,P,107-109 LIMITED PARTN,3000,14940,0,14940,0,0,0,0,0,0,2,1,6,45,45,60,50,54,50,E,0,N,3,5,229500,935100,229500,935100,1900,1991,0, , ,4.98,6,0,6,1,1003770037,0,2602,990810,202915,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,235.5209191,3446.000076,705600,12,1,142,141,15,3375,9.716666222,10.87888908,1.162222862,9.815021833,0.294809914,147.2253275 +142,MN,417,66,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,177 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,PALISADE REALTY LLC C,1987,7755,1600,6155,0,1600,0,0,0,0,2,1,5,16,19,22.67,87.67,23,73, ,3,N,5,2,270000,1161900,0,0,1900,1996,0, , ,3.9,4,4,4,1,1004170066,0,3001,987408,202254,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,225.913982,2023.190449,891900,1,0,143,142,8,1800,33.19499969,33.19499969,0,33.19499969,0,265.5599976 +143,MN,819,20,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,31 WEST 17 STREET,C6-4A, , , , , , , , , ,N,D7,4,0, , ,2175,27758,1908,25850,0,1750,0,158,0,0,2,1,13,11,12,25,87,25,97, ,3,N,5,2,783000,2818800,0,481540,2005,0,0,Ladies' Mile Historic District, ,12.76,10,10,10,1,1008190020,0,54,985980,208434,8d, ,102 041,10306,E-131,1008190059,3/23/2006,1, , ,17V1.1,0,233.3025333,2118.395435,2035800,7,0,144,143,9,2025,32.36888886,32.36888886,0,32.36888886,0,291.3199997 +144,MN,573,39,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,28 5 AVENUE,R10,R6, , , , , , , , ,Y,D4,3,0, ,30 FIFTH AVE OWNERS I,14174,168806,4200,164606,4200,0,0,0,0,0,2,1,15,144,153,92.25,152,92,140, ,2,N,3,2,2371500,19205550,391066,391066,1923,1989,0,Greenwich Village Historic District, ,11.91,10,0,10,1,1005730039,0,63,985354,206481,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,485.0853227,13930.93608,16834100,8,0,145,144,62,13950,18.98099899,29.34444427,10.36344528,19.65282345,2.254246403,1218.475054 +145,MN,795,56,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,124 WEST 20 STREET,C6-3A, , , , , , , , , ,N,G1,10,0, ,124 WEST 20TH STREET,6900,20025,20025,0,0,0,20025,0,0,0,2,1,3,0,1,75,92,75,88, ,3,N,5,2,621000,1891800,0,0,1900,0,0, , ,2.9,7.52,6,7.5,1,1007950056,0,87,985487,209378,8d, ,103 030,10305,E-92,0, ,1, , ,17V1.1,0,340.4918141,7146.71001,1270800,7,0,146,145,32,7200,27.66555595,31.46555519,3.799999237,27.90177119,0.914872099,892.856678 +146,MN,583,47,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,14 ST LUKES PLACE,R6, , , , , , , , , ,N,B1,1,0, ,14 SAINT LUKES PLACE,2167,4158,0,3066,0,0,0,0,0,0,2,1,2,2,2,21.67,100,21.67,42,E,3,N,5,1,60126,169204,0,0,1901,0,0,Greenwich Village Historic District, ,1.92,2.43,0,4.8,1,1005830047,0,67,982709,205353,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,251.0066149,2312.258792,109078,9,0,147,146,11,2475,15.38333321,17.77000046,2.386667252,16.33179769,1.079288681,179.6497746 +147,MN,562,7501,102,61,2001,2,2,10003,E033,6,15,5700,3,2, ,29 EAST 10 STREET,R7-2, , , , , , , , , ,N,RC,5,0, ,OWNER / AGENT,2409,14438,14438,0,12639,1799,0,0,0,0,2,1,8,0,8,25,95,0,0, ,0,N,5,5,449999,2635650,0,0,1900,0,0, , ,5.99,3.44,0,6.5,1,1005627501,52,61,986202,206184,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,7,245.1647126,2506.998295,2185650,8,0,148,147,11,2475,34.39444351,34.39444351,0,34.39444351,0,378.3388786 +148,MN,283,92,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,113 DIVISION STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"YAN PING ASSOCIATION,",1632,6715,1300,5415,0,1300,0,0,0,0,2,1,5,8,10,25.83,64,26,51, ,3,Y,5,2,45368,250325,0,0,1900,1988,0, , ,4.11,6.02,6,6.5,1,1002830092,0,6,986424,199501,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,180.7019765,1636.545974,204957,16,0,149,148,7,1575,35.5909996,41.00666809,5.415668488,36.36466653,1.895089202,254.5526657 +149,MN,30,1,101,9,1012,2,1,10004,L015,1,15,7700,1,1,1B,2 COENTIES SLIP,C5-5, , , , , ,LM, , , ,N,S9,4,0, ,47-33 5TH STREET CORP,1844,8115,819,7296,0,819,0,0,0,0,2,2,5,4,6,75.17,24.17,75,25, ,3,Y,3,5,204237,834990,0,0,1920,1970,0, , ,4.4,10,15,15,1,1000300001,0,9,981365,195638,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,206.3673948,2030.873999,630753,17,1,150,149,9,2025,7.721999645,9.700000763,1.978001118,8.124666479,0.757374154,73.12199831 +150,MN,348,50,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,167 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"ASIAN AMERICAN HDFC,",1638,5442,800,4642,0,800,0,0,0,0,2,1,4,8,10,25,65.5,25,53, ,0,N,5,5,82641,321100,57849,224770,1910,1997,0, , ,3.32,4,0,4,1,1003480050,0,1402,988424,201182,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,187.3327749,1740.140419,238459,13,0,151,150,8,1800,23.08555603,23.08555603,0,23.08555603,0,184.6844482 +151,MN,792,35,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,579 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,P9,8,0,P,579 HANA CORP.,1725,4370,4370,0,0,0,0,0,0,4370,2,1,3,0,1,23,75,23,75, ,0,N,5,5,255600,544050,0,0,1920,2007,0, , ,2.53,6.02,6,6.5,1,1007920035,0,81,985360,208519,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,197.9203906,1744.956346,288450,7,0,152,151,8,1800,27.66555595,27.66555595,0,27.66555595,0,221.3244476 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ASSN INC,1061,5250,2100,3150,1050,1050,0,0,0,0,2,1,5,3,8,21.33,50.17,21,50, ,2,Y,3,2,149523,491160,0,0,1915,1961,0, , ,4.95,3.44,6,6.5,1,1001620049,0,29,984806,199662,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,145.4860129,1083.459338,341637,14,0,184,183,5,1125,39.70399857,39.70399857,0,39.70399857,0,198.5199928 +184,MN,436,2,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4B,140 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,"140 FIRST AVENUE, LLC",1520,4267,1064,3203,0,1064,0,0,0,0,2,1,4,3,4,19,80,19,60, ,3,N,5,5,181730,395460,0,0,1920,0,0, , ,2.81,4,0,4,1,1004360002,0,32,988464,204433,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,199.4589045,1545.160415,213730,12,0,185,184,7,1575,17.84799957,25.2211113,7.373111725,19.23422187,2.533962155,134.6395531 +185,MN,577,42,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,74 5 AVENUE,C6-4,C6-2, , , , , , , , ,Y,D0,3,0, ,74 FIFTH AVE OWNERS C,7742,93396,7783,85613,0,7783,0,0,0,0,2,1,12,36,38,51.58,125,52,125, ,3,Y,5,2,693000,9783450,21240,21240,1910,1982,0, , ,12.06,10,10,10,1,1005770042,0,63,985822,207326,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,479.822339,8114.951207,9090450,8,0,186,185,37,8325,30.09499931,34.83000183,4.735002518,30.22297235,0.767838246,1118.249977 +186,MN,443,54,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,46 EAST 1 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"1ST STREET EV REALTY,",2424,8556,0,8556,0,0,0,0,0,0,2,1,5,24,24,24.17,100.17,24,68, ,2,Y,5,1,208350,962100,0,0,1910,1961,0, , ,3.53,4,0,4,1,1004430054,0,3602,987110,203065,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,258.4203982,2606.022988,753750,1,0,187,186,12,2700,31.53899956,38.60800171,7.069002151,37.00003815,2.56553298,444.0004578 +187,MN,298,7504,103,16,5001,2,1,10002,E015,7,14,7400,2,3, ,30 ORCHARD STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,2233,12569,2477,10092,0,2477,0,0,0,0,2,1,11,9,10,25,89.33,25,87.67, ,3,N,0,2,129697,1604325,0,600837,1979,2006,2006, , ,5.63,6.02,6,6.5,1,1002987504,2170,16,986671,199989,12d,Y,101N051,10107, ,1002980009,7/29/2010,1, , ,17V1.1,7,235.403298,2344.459824,1474630,13,0,188,187,11,2475,37.64699936,39.59000015,1.943000793,38.09717109,0.689948262,419.068882 +188,MN,274,38,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,42 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,40/42 MARKET STREET A,2185,9265,2100,7165,0,2100,0,0,0,0,2,2,4,18,23,25,86.08,25,43, ,0,Y,3,5,83250,310500,0,0,1910,0,0, , ,4.24,3.44,0,6.5,1,1002740038,0,8,985890,198756,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,235.2830606,2386.609856,227250,16,0,189,188,12,2700,24.63366699,30.80888939,6.175222397,26.24009291,2.379816312,314.881115 +189,MN,587,10,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,26 COMMERCE STREET,C2-6,R6, , , , , , , , ,Y,B9,1,0, ,26 COMMERCE LLC,918,1360,0,1360,0,0,0,0,0,0,2,1,3,2,2,16.67,53.08,16.67,35,E,3,Y,5,2,23490,111778,0,0,1899,0,2009,Greenwich Village Historic District, ,1.48,3.44,2,6.5,1,1005870010,0,67,982988,205792,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,145.8083013,882.4386941,88288,9,0,190,189,5,1125,15.94888878,19.39333344,3.444444656,16.63777771,1.377777863,83.18888855 +190,MN,542,49,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,103 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,FEENJON CORPORATION,3380,19824,2625,17199,0,2625,0,0,0,0,2,1,7,36,37,25,135.5,25,135, ,3,N,4,2,259650,2927250,0,0,1900,0,0,South Village Historic District, ,5.87,3.44,0,6.5,1,1005420049,0,65,983957,205162,12a,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,330.1356726,3534.766796,2667600,9,0,191,190,15,3375,18.38111115,18.38111115,0,18.38111115,0,275.7166672 +191,MN,297,22,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,13 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,"13-15 ESSEX STREET, L",4404,21162,1776,19386,0,1776,0,0,0,0,2,2,6,44,48,50.33,87.5,25,75, ,3,N,5,2,313650,2876400,0,0,1900,0,0, , ,4.81,6.02,6,6.5,1,1002970022,0,16,986950,199836,12d, ,101N051,10107, ,1002970023,12/8/1988,1, , ,17V1.1,0,285.4261482,4706.67287,2562750,13,0,192,191,19,4275,32.98300171,34.85400009,1.870998383,33.08147531,0.417788098,628.5480309 +192,MN,468,43,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,237 EAST 12 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C6,2,0, ,237 EAST 12TH STREET,2117,6335,0,6335,0,0,0,0,0,0,2,1,5,10,10,20.5,103.25,21,67,E,3,N,5,2,84616,338839,4720,4720,1900,1988,0, , ,2.99,4,0,4,1,1004680043,0,40,988062,205749,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,253.3501337,2174.591325,254223,12,0,193,192,9,2025,28.72333336,29.43199921,0.708665848,29.19577726,0.334068284,262.7619953 +193,MN,413,25,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,298 GRAND STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,300 GRAND STREET LLC,2288,3826,3826,0,0,2244,0,1582,0,0,2,1,2.5,0,3,25.83,87.58,26,87, ,2,Y,5,2,180000,651600,0,0,1900,0,0, , ,1.67,4,4,4,1,1004130025,0,18,986563,200760,12c, ,101N078,10204,E-216,0, ,1, , 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,17V1.1,0,241.4774757,2373.529187,244639,8,0,196,195,10,2250,29.25900078,31.95999908,2.700998306,30.06600056,1.031386086,300.6600056 +196,MN,229,6,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,351 CANAL STREET,M1-5B, , , , , , , , , ,N,D7,4,0, ,351 CANAL ST. LLC,4786,22500,9200,13300,4600,4600,0,0,0,0,2,2,5,8,12,61.33,78.83,61,84, ,2,Y,3,2,98100,895192,0,0,1900,2016,0,SoHo-Cast Iron Historic District, ,4.7,0,5,6.5,1,1002290006,0,47,983247,201943,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,304.8107393,5615.341435,797092,0,1,197,196,25,5625,9.686666489,10.30333328,0.616666794,9.71133316,0.120841519,242.783329 +197,MN,765,16,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,237 WEST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,237 W 15 ST OWNERS CO,2581,7100,1100,6000,0,1100,0,0,0,0,2,2,4,14,15,25,103.25,25,45, ,3,N,5,2,133650,822600,22031,22031,1905,1989,0, , ,2.75,4,0,4,1,1007650016,0,81,984078,208915,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,260.81411,2639.324758,688950,7,0,198,197,13,2925,22.05333328,25.20111084,3.147777557,23.00196574,1.239925558,299.0255547 +198,MN,774,81,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,280 WEST 25 STREET,C6-2A, , , , , , , , , ,N,A4,1,0, ,BELLA 25 LLC,937,2607,0,2607,0,0,0,0,0,0,2,1,4,1,1,19,49.33,19,36, ,3,N,5,2,65131,145189,0,0,1900,2008,2006, , ,2.78,6.02,6,6.5,1,1007740081,0,91,985008,211170,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,144.1361868,1010.957694,80058,2,0,199,198,4,900,24.39666748,24.85199928,0.455331802,24.73816633,0.197164454,98.95266533 +199,MN,209,7502,102,45,1010,2,1,10013,E055,5,15,6800,1,2, ,29 HOWARD STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2565,13054,3718,9336,0,3718,0,0,0,0,2,1,5,4,5,25.65,100,0,0, ,0,N,0,5,57546,714570,0,0,1895,0,0,SoHo-Cast Iron Historic District Extensi, ,5.09,0,5,6.5,1,1002097502,1283,45,984028,201373,12c, ,11N 047,10105, ,1002090010,4/1/2003,1, , ,17V1.1,7,258.7953317,2610.359389,657024,0,0,200,199,12,2700,11.84555531,16.32666779,4.48111248,12.21898135,1.238514062,146.6277761 +200,MN,519,21,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,36 KING STREET,R6, , , , , , , , , ,N,B1,1,0, ,LYNN GEORGIANNA A,2008,3200,0,2400,0,0,0,0,0,0,2,1,3,2,2,20,100.42,20,40, ,3,N,5,1,26688,101192,1550,1550,1901,0,0,Charlton-King-Vandam Historic District, ,1.59,2.43,0,4.8,1,1005190021,0,37,983088,204337,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,246.3945313,2073.412336,74504,9,0,201,200,9,2025,16.83888817,19.81555557,2.976667404,18.04555533,1.355469583,162.4099979 +201,MN,632,52,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,541 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,541 HUDSON LLC,840,3116,1558,1558,0,779,0,0,0,779,2,1,3,2,3,19.5,73.75,19.5,43, ,3,Y,5,5,50272,116121,0,0,1950,0,0,Greenwich Village Historic District, ,3.71,3.44,2,6.5,1,1006320052,0,75,982473,206975,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,185.5926288,1436.014542,65849,9,0,202,201,8,1800,19.34666634,22.21777725,2.871110916,19.75611091,0.939793549,158.0488873 +202,MN,203,10,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,54 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,MEELY REALTY CORP.,6600,39350,6300,33050,0,5500,0,800,0,0,2,2,7,89,94,74.42,88.83,31,74, ,3,Y,5,2,382500,1377900,0,0,1890,0,0, , ,5.96,6.02,6,6.5,1,1002030010,0,41,985270,200563,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,333.1487364,6842.952886,995400,0,0,203,202,33,7425,40.21222305,42.25333405,2.041110992,40.31791329,0.42248739,1330.491138 +203,MN,623,36,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,56 BANK STREET,R6, , , , , , , , , ,N,B1,1,0, ,PLUNKY LLC,840,2160,0,2160,0,0,0,0,0,0,2,1,3,2,2,20,42,20,36, ,3,N,5,2,46205,134042,0,0,1899,2005,0,Greenwich Village Historic District, ,2.57,2.43,0,4.8,1,1006230036,0,77,983157,207672,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,131.0234966,948.0984216,87837,8,0,204,203,5,1125,22.60333252,26.64111137,4.037778854,23.41088829,1.615111542,117.0544415 +204,MN,396,3,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,219 AVENUE B,C1-6A, , , , , , , , , ,N,C4,2,0,P,"BAJ REAL ESTATE, LLC",1936,6428,800,5628,0,800,0,0,0,0,2,1,5,8,9,22,88,22,78,E,3,N,5,2,34375,146344,0,0,1910,0,0, , ,3.32,4,2,4,1,1003960003,0,28,990307,204824,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,224.0223778,1980.197832,111969,12,1,205,204,8,1800,10.09222221,10.68277836,0.590556145,10.16604173,0.195308087,81.32833385 +205,MN,773,22,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,241 WEST 23 STREET,C2-7A, , , , , , , , , ,N,D0,3,0, ,"GREENBERG, MICHAEL L",3950,26270,3400,22870,0,3400,0,0,0,0,2,1,7,11,12,40,98.75,40,99, ,3,N,5,2,306900,2442600,48928,48928,1898,1985,0, , ,6.65,7.52,2,7.5,1,1007730022,0,91,985105,210678,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,283.1486183,4099.106401,2135700,2,0,206,205,18,4050,23.38899994,26.8488884,3.459888458,23.58121596,0.792526976,424.4618874 +206,MN,239,33,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,100 BOWERY,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,HOY TUCK REALTY CORP,2501,10000,10000,0,7000,2000,0,1000,0,0,2,1,5,0,4,25.08,99.92,25,90,E,3,N,5,2,281700,821700,0,0,1916,1985,0, , ,4,3.44,6,6.5,1,1002390033,0,41,985498,200788,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,258.9789936,2561.364733,540000,0,0,207,206,12,2700,31.48699951,37.1590004,5.672000885,36.68633366,1.567658229,440.2360039 +207,MN,590,78,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,11 JONES STREET,R6, , , , , , , , , ,N,C4,2,0, ,11 JONES STREET ASSOC,2490,9725,0,9725,0,0,0,0,0,0,2,1,5,20,20,24.92,100,25,85, ,3,N,5,2,224550,1857600,0,0,1900,0,0,Greenwich Village Historic District Exte, ,3.91,2.43,0,4.8,1,1005900078,0,67,983613,206078,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,251.2017912,2406.530788,1633050,9,0,208,207,12,2700,19.74111176,19.74111176,0,19.74111176,0,236.8933411 +208,MN,847,50,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,40 EAST 19 STREET,M1-5M, , , , , , , , , ,N,D0,3,0, ,1519 LOFT ASSOCIATES,3873,33895,2800,31095,0,2800,0,0,0,0,2,1,9,14,15,42.83,92,42.83,84, ,0,N,5,5,292950,4989150,2360,2360,1905,0,0,Ladies' Mile Historic District, ,8.75,0,5,6.5,1,1008470050,0,52,987259,208119,8d,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,279.0981669,4099.359972,4696200,7,0,209,208,17,3825,36.35800171,39.81000137,3.451999664,36.56106051,0.812235215,621.5380287 +209,MN,846,5,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,3 EAST 17 STREET,M1-5M, , , , , , , , , ,N,K4,4,0, ,YJL 3 EAST 17TH STREE,2300,4225,4225,0,625,3600,0,0,0,0,2,1,2,0,2,25,92,25,82,E,3,N,5,2,423000,1514250,0,0,1904,0,0,Ladies' Mile Historic District, ,1.84,0,5,6.5,1,1008460005,0,52,986581,208106,8d,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,243.3011801,2476.027771,1091250,7,0,210,209,11,2475,39.36555481,39.36555481,0,39.36555481,0,433.0211029 +210,MN,458,46,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,6 EAST 2 STREET,R8B,C6-1, , , , , , , , ,Y,C3,2,0, ,ADBER ASSOCIATES,1602,6420,0,6420,0,0,0,0,0,0,2,1,4,4,4,25.67,63.17,26,60, ,3,Y,5,5,35472,177234,0,0,1900,1984,0, , ,4.01,4,0,4,1,1004580046,0,3602,986617,203628,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,177.0582927,1536.299132,141762,1,0,211,210,6,1350,39.7840004,39.7840004,0,39.7840004,0,238.7040024 +211,MN,125,20,101,21,1009,2,1,10007,L010,1,15,7700,1,1, ,50 PARK PLACE,C5-3, , , , , ,LM, , , ,N,O6,5,0,P,100 CHURCH FEE OWNER,53354,918240,918240,0,905074,13166,0,0,0,0,2,1,19,0,33,160.08,335,159,335, ,0,Y,1,5,8415000,85987350,0,3201390,1959,2007,0, , ,17.21,10,15,15,1,1001250020,0,21,981440,199146,12b, ,101S014,10104, ,0, ,1, , ,17V1.1,0,1018.111859,56619.97572,77572400,3,0,212,211,251,56475,15.99222279,27.11222267,11.11999989,18.05779247,1.402471801,4532.50591 +212,MN,610,7503,102,71,4004,2,3,10014,Q018,6,15,6100,2,2, ,134 WEST 10 STREET,R6,C1-6, , , , , , , , ,Y,RM,4,0, , ,7255,24637,10543,14094,0,5368,0,0,0,5175,2,2,5,7,10,39,187.58,39,187.58, ,0,Y,0,5,324432,3153890,0,0,1910,2004,2004,Greenwich Village Historic District, ,3.4,2.43,0,4.8,1,1006107503,1564,71,984126,206802,12c, ,103 017,10209, ,1006100050,7/13/2006,1, , ,17V1.1,7,468.2959486,7358.535293,2829460,8,0,213,212,33,7425,18.18777847,21.2211113,3.033332825,18.37121276,0.722183364,606.250021 +213,MN,831,10,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,39 WEST 29 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,BAKER 39 W. 29 STREET,4906,56931,56931,0,52681,4250,0,0,0,0,2,1,12,0,15,50,98.75,50,86,E,3,N,5,2,1147500,4986450,0,0,1914,0,0, , ,11.6,0,10,10,1,1008310010,0,76,987259,211252,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,306.0097804,5268.77605,3838950,6,0,214,213,23,5175,41.16799927,44.7231102,3.555110931,41.32256931,0.724997754,950.4190941 +214,MN,621,40,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,381 BLEECKER STREET,C1-6, , , , , , , , , ,N,S4,4,0,P,BLEECKER & PERRY ASSO,1416,5637,900,4737,0,0,0,0,0,900,2,1,5,4,5,23,61.58,23,48, ,3,N,5,5,125501,286709,0,0,1910,1966,0,Greenwich Village Historic District, ,3.98,3.44,2,6.5,1,1006210040,0,73,982948,207118,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,174.7095765,1492.624005,161208,8,0,215,214,6,1350,24.81222343,24.81222343,0,24.81222343,0,148.8733406 +215,MN,804,1,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,319 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0,P,333 SEVENTH LLC,19949,410334,410334,0,394334,16000,0,0,0,0,2,1,21,0,29,197.5,101.08,198,101, ,2,Y,3,2,10800000,41246550,0,0,1920,1980,0, , ,20.57,0,10,10,1,1008040001,0,95,986237,211578,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,610.534309,20828.42529,30446600,6,0,216,215,91,20475,33.35888672,34.88222122,1.523334503,33.45524668,0.222432781,3044.427448 +216,MN,149,5,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,83 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C7,4,0, ,83 ASSOCIATES LLC,3769,18845,3200,15645,0,3200,0,0,0,0,2,1,5,8,9,25,150.5,25,150.5, ,0,Y,4,2,228270,670000,0,0,1915,0,0,Tribeca South Historic District, ,5,7.52,6,7.5,1,1001490005,0,21,982347,199690,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,364.4724604,3930.896674,441730,14,0,217,216,18,4050,29.82299995,31.32777786,1.504777908,29.90659873,0.34468657,538.3187771 +217,MN,606,41,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,138 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,C4,2,0, ,138-140 W 11 STREET H,5450,9941,0,9941,0,0,0,0,0,0,2,3,4,10,10,45,125,23,60, ,3,Y,5,2,12184,521235,0,0,1855,0,0,Greenwich Village Historic District, ,1.82,2.43,0,4.8,1,1006060041,0,71,984240,207365,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,350.0894803,5658.093427,509051,8,0,218,217,24,5400,22.88899994,26.76444435,3.875444412,23.45818035,0.856570357,562.9963284 +218,MN,722,2,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,244 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,C7,4,0, ,244 TENTH AVENUE REAL,1973,6399,950,5449,0,950,0,0,0,0,2,1,5,9,10,24.67,80,25,50, ,3,N,5,2,143176,596352,0,0,1910,0,0, , ,3.24,3,0,3,1,1007220002,0,93,983338,211937,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,217.9763826,2213.009725,453176,2,1,219,218,9,2025,10.68099976,10.88377762,0.202777863,10.7196295,0.066534398,96.4766655 +219,MN,79,6,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1,1B,75 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,D6,4,0, ,LEXIN NASSAU PARTNERS,5240,18526,5000,13526,0,5000,0,0,0,0,2,1,3,18,22,51.67,105.95,52,98, ,3,Y,5,2,904500,1778400,0,0,1920,2002,2002, , ,3.54,10,15,15,1,1000790006,0,1502,981923,197902,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,321.2380154,5634.266138,873900,0,0,220,219,23,5175,31.21700096,31.21700096,0,31.21700096,0,717.9910221 +220,MN,344,64,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,95 PITT STREET,R7A, , , , , , , , , ,N,C4,2,0,P,95 PITT STREET LLC,2814,9990,800,9190,0,800,0,0,0,0,2,1,5,18,20,25,112.58,25,82, ,3,Y,5,2,92700,736650,0,0,1920,1989,0, , ,3.55,4,0,4,1,1003440064,0,2201,989087,201207,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,282.3449887,2904.423517,643950,1,0,221,220,13,2925,17.05666733,21.1455555,4.088888168,18.28384649,1.841202186,237.6900043 +221,MN,615,1,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,301 WEST 4 STREET,R6, , , , , , , , , ,N,S2,4,0, ,FUCHS KENNETH,1040,3007,1002,2005,0,1002,0,0,0,0,2,1,3,2,3,19.42,51.58,19.42,40, ,2,Y,3,2,54411,136027,1550,1550,1910,0,0,Greenwich Village Historic District, ,2.89,2.43,0,4.8,1,1006150001,0,77,983259,207767,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,149.4480445,1134.572055,81616,8,0,222,221,5,1125,23.05999947,23.05999947,0,23.05999947,0,115.2999973 +222,MN,924,8,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,307 EAST 18 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,307 EAST 18TH STREET,2290,8680,0,8680,0,0,0,0,0,0,2,1,5,20,20,25,92,25,79, ,3,Y,5,2,102600,841500,0,0,1920,0,0, , ,3.79,3,0,3,1,1009240008,0,48,989105,206987,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,241.0066456,2399.01575,738900,5,0,223,222,10,2250,14.83555603,17.0288887,2.193332672,15.0548893,0.657999802,150.548893 +223,MN,150,19,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,116 DUANE STREET,C6-2A, , , , , , , , , ,N,D2,3,0, ,"DLMC, INC.",2917,12785,2917,9868,0,2917,0,0,0,0,2,1,5,5,6,25,116.67,75,108, ,2,N,5,5,431065,696181,0,0,1915,0,0, , ,4.38,6.02,6,6.5,1,1001500019,0,33,982373,199978,12b,Y,101S018,10104, ,0, ,1, , ,17V1.1,0,301.1309341,3165.920748,265116,14,0,224,223,12,2700,23.54111099,25.88111115,2.340000153,23.73611101,0.646741876,284.8333321 +224,MN,386,15,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,258 EAST 4 STREET,R8B, , , , , , , , , ,N,D3,3,0,O,258 EAST 4 STREET L P,11940,43902,0,43902,0,0,0,0,0,0,2,1,6,51,51,123.1,96.17,123.8,59.2, ,0,N,5,5,630000,2309850,630000,2309850,1992,0,0, , ,3.68,4,0,4,1,1003860015,0,2601,989303,202582,12c, ,102 013,10203, ,1003860015,11/4/1992,1, , ,17V1.1,0,443.3425734,12143.05802,1679850,1,0,225,224,55,12375,14.43666649,17.11555672,2.678890228,15.23541196,1.000169518,837.9476576 +225,MN,568,4,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,39 5 AVENUE,R10,R7-2, , , , , , , , ,Y,D4,3,0, ,39 5TH AVE OWNERS COR,7175,62409,1200,61209,1200,0,0,0,0,0,2,1,14,58,60,54.75,141.83,55,100, ,3,Y,5,2,1026000,7654050,11800,11800,1922,1988,0,Greenwich Village Historic District, ,8.7,10,0,10,1,1005680004,0,61,985667,206554,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,391.2318992,7080.674802,6628050,8,0,226,225,31,6975,29.93888855,35.75333405,5.814445496,31.1772293,2.001352515,966.4941082 +226,MN,235,18,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,148 BAXTER STREET,M1-5B, , , , , , , , , ,N,S9,4,0,P,BAXTER CORP,1470,5250,1050,4200,0,1050,0,0,0,0,2,1,5,5,7,21.08,71.67,21.08,50,E,0,Y,5,5,113154,386751,0,0,1920,0,0, , ,3.57,0,5,6.5,1,1002350018,0,41,984652,201288,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,193.6513531,1616.717887,273597,0,0,227,226,7,1575,18.99699974,24.31222153,5.315221787,19.75631714,1.859940178,138.29422 +227,MN,884,7502,105,72,3002,2,2,10016,E016,13,14,5300,1,5, ,138 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,R6,2,0, , ,1320,3442,0,3442,0,0,0,0,0,0,2,1,4,2,2,16.25,81,16.25,52, ,0,N,0,5,9431,66393,1550,1550,1920,1962,2005, , ,2.61,6.02,6,6.5,1,1008847502,2212,72,989141,210057,8d, ,104 019,10307, ,1008840069,12/16/2010,1, , ,17V1.1,7,200.4624102,1415.573026,56962,11,0,228,227,7,1575,32.07600021,32.07600021,0,32.07600021,0,224.5320015 +228,MN,745,16,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,335 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,331-5 W 21 STREET COR,2469,10250,0,10250,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,82, ,3,N,5,2,82350,935100,24348,24348,1920,1988,0, , ,4.15,3,0,3,1,1007450016,0,89,983978,210669,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,256.0911194,2569.505584,852750,7,0,229,228,11,2475,15.97222233,17.86666679,1.894444466,16.14444455,0.544614492,177.5888901 +229,MN,354,12,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,121 STANTON STREET,C4-4A, , , , , , , , , ,N,I9,8,0,C,NYC DSBS,6812,6675,6675,0,0,6675,0,0,0,0,2,1,1,0,1,20.83,150.08,21,148, ,2,Y,3,0,513000,1190250,513000,1190250,1939,0,0, , ,0.98,4,4,4,1,1003540012,0,3001,987886,201794,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,442.5646768,6797.595627,677250,1,0,230,229,30,6750,28.01666641,30.56999969,2.553333282,28.2411183,0.651346139,847.2335491 +230,MN,398,32,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,30 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"AK AVEB,LLC",1934,8700,1600,7100,0,1600,0,0,0,0,2,1,5,16,18,24.17,80,24,70, ,3,N,5,2,112500,991350,0,0,1900,0,0, , ,4.5,4,0,4,1,1003980032,0,3002,988868,202520,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,216.0340023,2045.200153,878850,1,0,231,230,9,2025,20.40699959,21.65999985,1.253000259,20.62803671,0.431081392,185.6523304 +231,MN,857,75,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,4 EAST 28 STREET,C5-2, , , , , , , , , ,N,N2,8,0,P,NEW LATHAM HOTEL CORP,7406,69289,3800,65489,0,0,0,0,0,3800,2,1,12,0,227,75,98.75,75,98.75,E,0,N,5,5,1350000,6685650,0,0,1904,1906,2014,Madison Square North Historic District, ,9.36,10,10,10,1,1008570075,0,56,987917,210415,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,360.0432098,7905.4295,5335650,11,0,232,231,36,8100,36.04399872,39.26044464,3.216445923,36.29258537,0.794298784,1306.533073 +232,MN,545,46,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,416 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D1,3,0, ,416 MANAGEMENT LLC,6188,27612,0,27612,0,0,0,0,0,0,2,1,5,41,41,45,137.5,45,131,E,2,N,5,2,508500,3082950,0,0,1910,1987,0,NoHo Historic District, ,4.46,0,5,6.5,1,1005450046,0,57,986232,204801,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,367.8601351,5957.426697,2574450,9,0,233,232,26,5850,38.29555511,42.18000031,3.88444519,38.44495685,0.74700869,999.5688782 +233,MN,526,60,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,178 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,"TAWARA, LLC",1857,11130,4500,6630,0,4500,0,0,0,0,2,1,6,4,6,21.83,98,0,0, ,0,Y,5,5,161100,1785964,0,0,2014,0,0,South Village Historic District, ,5.99,3.44,0,6.5,1,1005260060,0,65,983985,204805,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,250.0905437,1980.059822,1624860,9,0,234,233,8,1800,23.22699928,25.03222275,1.805223465,23.86590266,0.827782792,190.9272213 +234,MN,475,13,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,497 BROOME STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,JOHN DEE CORP.,1347,5000,5000,0,3700,1300,0,0,0,0,2,1,4,0,2,20.83,64.67,21,61, ,3,N,5,2,135000,1675800,0,0,1900,1988,2013,SoHo-Cast Iron Historic District, ,3.71,0,5,6.5,1,1004750013,0,47,983447,202710,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,178.73777,1458.862975,1540800,0,1,235,234,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +235,MN,700,32,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,319 10 AVENUE,C6-4, , , , , ,WCH, , , ,N,D6,4,0, ,MAESTRO WEST CHELSEA,4933,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,49.33,100,0,0, ,3,N,5,2,561600,3732750,0,0,2015,0,0, , ,54.65,10,10,10,1,1007000032,0,99,983704,212984,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,301.9723788,5022.04169,3171150,2,1,236,235,22,4950,11.49300003,15.80000019,4.30700016,11.96282326,1.22622413,263.1821117 +236,MN,745,17,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,333 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,331-5 WEST 21ST STREE,2469,10250,0,10250,0,0,0,0,0,0,2,1,5,22,22,25,98.75,25,88, ,3,N,5,2,126000,935100,24348,24348,1900,1988,0, , ,4.15,3,0,3,1,1007450017,0,89,984001,210656,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,261.0115248,2823.158174,809100,7,0,237,236,13,2925,15.97222233,17.13555527,1.163332939,16.06170948,0.309992578,208.8022232 +237,MN,469,13,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,210 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,"TOMPKINS GROUP, LLC",1755,5100,1755,3345,0,1755,0,0,0,0,2,1,5,8,9,17,103.25,17,97, ,2,N,5,0,101770,309056,0,0,1900,1997,0, , ,2.91,4,2,4,1,1004690013,0,40,987906,206262,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,248.9078989,1892.535316,207286,12,0,238,237,8,1800,34.03666687,36.0644455,2.027778625,34.3986392,0.690753072,275.1891136 +238,MN,412,32,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,167 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,167 LUDLOW OWNER LLC,2188,8600,1500,7100,0,1500,0,0,0,0,2,1,5,15,16,25,87.5,25,54, ,3,N,5,1,168750,1259100,0,0,1910,2013,0, , ,3.93,4,4,4,1,1004120032,0,3001,987627,202193,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,230.8168705,2260.181556,1090350,1,0,239,238,11,2475,31.02499962,34.57666779,3.551668167,32.03242406,1.243452026,352.3566647 +239,MN,634,41,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,333 WEST 11 STREET,R6, , , , , , , , , ,N,C1,2,0, ,VIDEO STORYBOARD TEST,2027,4905,0,4905,0,0,0,0,0,0,2,1,4,9,9,21.33,95,21,50, ,3,Y,5,2,173346,519238,0,0,1911,1956,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006340041,0,75,982102,207349,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,238.7441362,2040.011641,345892,9,0,240,239,9,2025,15.82699966,17.84777832,2.020778656,16.4509627,0.884517941,148.0586643 +240,MN,500,38,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,135 SPRING STREET,M1-5A, , , , , , , , , ,N,O9,5,0, ,131 SPRING MEMBER LLC,4902,28487,20000,8487,15000,5000,0,0,0,0,2,1,6,4,7,49.08,100,49,98, ,3,N,5,2,1125000,11638350,0,0,1915,2014,2004,SoHo-Cast Iron Historic District, ,5.81,0,5,6.5,1,1005000038,0,49,984063,203114,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,303.4420993,5068.249455,10513400,0,0,241,240,22,4950,17.84111023,17.84111023,0,17.84111023,0,392.504425 +241,MN,790,10,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,145 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C7,4,0, ,PR 145 WEST 14 LLC,1952,5955,1000,4955,0,1000,0,0,0,0,2,1,5,8,9,18.33,106.5,18,66, ,3,N,5,2,97003,460710,0,0,1920,0,0, , ,3.05,6.02,6,6.5,1,1007900010,0,81,984609,208319,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,255.8380637,2025.554285,363707,7,0,242,241,9,2025,27.73777771,29.69000053,1.952222824,28.26209895,0.764993919,254.3588905 +242,MN,907,47,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,218 EAST 27 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,218-220 LLC,2469,9625,0,9625,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,85, ,3,N,5,1,89550,750600,0,0,1920,1984,0, , ,3.9,4,0,4,1,1009070047,0,66,989650,209159,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,255.1304208,2566.329449,661050,11,0,243,242,13,2925,35.85699844,42.29555511,6.438556671,36.83771662,2.300124496,478.890316 +243,MN,767,15,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,245 WEST 17 STREET,C6-2A, , , , , , , , , ,N,O6,5,0,P,"ARC NY24549W17, LLC",9200,118945,118945,0,111445,7500,0,0,0,0,2,1,12,0,3,50,184,50,181, ,0,N,4,5,1458000,20493000,0,0,1909,1985,2013, , ,12.93,6.02,6,6.5,1,1007670015,0,81,984346,209398,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,473.1126539,9329.463496,19035000,7,0,244,243,40,9000,21.88888931,24.33777809,2.448888779,21.95011153,0.382332638,878.0044613 +244,MN,350,39,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,30 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,3450,12420,2484,9936,0,2484,0,0,0,0,2,1,5,10,12,46,75,46,54, ,0,N,5,5,95850,300600,0,176275,1900,1992,0, , ,3.6,4,0,4,1,1003500039,0,2201,988635,201724,12c, ,102 005,10201, ,1003500039,10/26/1992,1, , ,17V1.1,0,249.5591152,3645.196896,204750,1,0,245,244,16,3600,21.35555649,24.29133224,2.935775757,21.92979169,0.850793707,350.876667 +245,MN,608,69,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,159 WEST 12 STREET,R6, , , , , , , , , ,N,B3,1,0, ,ULLMAN PAUL,2151,4127,0,3720,0,0,0,0,0,0,2,1,3,2,2,20.83,103.25,20.83,62,E,3,N,5,1,69520,218758,0,0,1899,2008,2008,Greenwich Village Historic District, ,1.92,2.43,0,4.8,1,1006080069,0,71,984372,207791,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,255.6331272,2202.731835,149238,8,0,246,245,10,2250,24.04400063,28.18000031,4.13599968,25.48728924,1.629701626,254.8728924 +246,MN,385,22,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,234 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,234 EAST 3RD STREETRE,3928,13517,0,13517,0,0,0,0,0,0,2,1,6,19,19,37.08,105.92,37,105, ,0,N,5,5,900000,2239200,0,0,2001,0,0, , ,3.44,4,0,4,1,1003850022,0,2202,989259,202312,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,291.9894725,4076.989431,1339200,1,0,247,246,18,4050,16.86222267,18.90999985,2.047777176,17.33853743,0.733697468,312.0936737 +247,MN,309,20,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,55 LUDLOW STREET,C6-2, , , , , , , , , ,N,A9,1,0, ,"FENWICK, ALEXIUS JOHN",1750,9501,0,9501,0,0,0,0,0,0,2,1,6,1,1,20,87.5,20,79, ,3,N,5,2,128088,474647,0,0,1910,2013,0, , ,5.43,6.02,6,6.5,1,1003090020,0,16,986927,200397,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,222.0054357,1855.922781,346559,13,0,248,247,8,1800,34.44444275,34.44444275,0,34.44444275,0,275.555542 +248,MN,460,48,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,77 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE HOUSING,2404,12900,1000,11900,0,1000,0,0,0,0,2,1,6,15,17,25,96.17,25,86, ,0,N,5,5,62100,361350,57132,332442,1920,2001,0,East Village/Lower East Side Historic Di, ,5.37,4,0,4,1,1004600048,0,38,986987,204041,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,250.0381045,2500.484594,299250,1,0,249,248,11,2475,35.65444565,38.47000122,2.815555573,36.10575867,0.967872709,397.1633453 +249,MN,548,4,102,59,3001,2,1,10003,E033,6,15,5700,1,2,2A,5 UNIVERSITY PLACE,R7-2, , , , , , , , , ,N,H8,8,0, ,NEW YORK UNIVERSITY,22220,116237,0,0,0,0,0,0,0,0,2,3,9,0,1,132.67,175,132,170, ,3,Y,4,2,4999500,10650150,4999500,10095300,1962,0,0, , ,5.23,3.44,0,6.5,1,1005480004,0,59,985689,205580,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,659.2900726,23205.91754,5650650,8,0,250,249,104,23400,32.08555603,35.38333511,3.297779083,33.40613211,0.535763333,3474.23774 +250,MN,611,58,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2K,35 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S2,4,0, ,"TENAGLIA, CO-TRUSTEE,",1240,2751,688,2063,0,688,0,0,0,0,2,1,3,2,3,21.25,40.17,21.25,40, ,3,Y,5,5,42918,114462,0,0,1910,0,0,Greenwich Village Historic District, ,2.22,3.44,2,6.5,1,1006110058,0,71,984111,207098,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,163.2740717,1281.637538,71544,8,0,251,250,6,1350,19.84000015,21.92666626,2.086666107,20.18777784,0.777654544,121.126667 +251,MN,907,44,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,224 EAST 27 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"ALAN ZIESS, TRUSTEE",2469,9625,0,9625,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,85,E,3,N,5,2,180000,1304550,0,0,1920,0,0, , ,3.9,4,0,4,1,1009070044,0,66,989716,209123,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,257.9389378,2710.330729,1124550,11,0,252,251,12,2700,35.85699844,35.85699844,0,35.85699844,0,430.2839813 +252,MN,193,28,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,39 WALKER STREET,C6-2A, , , , , , , , , ,N,D9,3,0, ,M R A REALTIES INC,5185,23300,4660,18640,0,4660,0,0,0,0,2,1,5,8,9,47.83,108.25,48,100,E,3,N,5,2,252692,1049601,0,0,1915,2009,2005,Tribeca East Historic District, ,4.49,6.02,6,6.5,1,1001930028,0,33,983138,201247,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,318.2196497,5330.09686,796909,14,0,253,252,24,5400,13.68111134,16.77222252,3.091111183,13.91583355,0.782506462,333.9800053 +253,MN,283,31,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1Q,147 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,MESIVTHA TIFERETH,3750,14812,14812,0,0,0,0,0,0,14812,2,1,5,0,1,50,75,50,59, ,3,N,5,2,387000,737550,387000,737550,1921,0,0, , ,3.95,3.44,0,6.5,1,1002830031,0,6,986711,199321,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,251.3016677,3799.935882,350550,16,0,254,253,18,4050,31.39800072,32.51177979,1.113779068,31.45987733,0.255123819,566.277792 +254,MN,922,2,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,1 N D PERLMAN PLACE,R8A, , , , , , , , , ,N,I2,8,0,X,BETH ISRAEL MEDCL CEN,28969,115838,115838,0,0,0,0,0,0,115838,2,1,10,0,1,141,206.5,80,165, ,1,Y,3,2,3744000,14592600,3744000,14592600,1953,2008,2010, , ,4,6,0,6,1,1009220002,0,48,988922,206292,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,703.6062623,29543.42513,10848600,5,0,255,254,131,29475,19.8468895,24.35555649,4.508666992,21.73387408,1.015739422,2847.137505 +255,MN,881,63,106,68,5000,2,2,10010,E016,13,14,5300,1,5,1B,73 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,D3,3,0, ,LEXINGTON HOUSE LLC,2469,9251,0,9251,0,0,0,0,0,0,2,1,5,29,29,24.67,100,25,75,E,3,N,5,2,315900,1625400,0,0,1930,1987,0, , ,3.75,6.02,6,6.5,1,1008810063,0,68,988890,209270,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,254.4575469,2502.543223,1309500,11,0,256,255,11,2475,30.02400017,31.60666656,1.582666397,30.18127285,0.452714872,331.9940014 +256,MN,779,35,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,205 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,HARDWELL ACQUISITION,1140,4500,4500,0,3300,1200,0,0,0,0,2,1,4,0,4,19,60,19,57, ,3,N,5,2,90000,383400,0,0,1930,0,0, , ,3.95,0,10,10,1,1007790035,0,95,986135,211852,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,168.7120554,1275.22613,293400,6,0,257,256,5,1125,31.05999947,31.05999947,0,31.05999947,0,155.2999973 +257,MN,779,63,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,236 WEST 30 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,GROKASH REALTY ASSOCI,5110,64414,64414,0,59714,4700,0,0,0,0,2,1,14,0,22,52.83,98.75,53,99, ,0,N,5,5,404100,4657950,0,0,1926,0,0, , ,12.61,10,10,10,1,1007790063,0,95,985842,212153,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,314.9839343,5531.850684,4253850,6,0,258,257,25,5625,31.05999947,31.57777786,0.517778397,31.0906218,0.104961595,777.2655449 +258,MN,487,7501,102,47,1003,2,1,10012,L008,1,15,6800,1,2, ,73 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,11004,37443,9745,27698,0,8920,0,825,0,0,2,1,5,6,7,55,200.08,55,200, ,0,N,5,5,2767500,8894322,2360,2360,1929,2003,2002,SoHo-Cast Iron Historic District, ,3.4,0,5,6.5,1,1004877501,1360,47,983705,202982,12a, ,11N 069,10206, ,1004870014,9/10/2004,1, , ,17V1.1,7,518.6709084,11017.23924,6126820,0,0,259,258,50,11250,13.01222229,13.43799973,0.425777435,13.41474201,0.058259909,670.7371006 +259,MN,480,4,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,184 MULBERRY STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,PARK LANE MANAGEMENTC,4170,21295,3549,17746,0,3549,0,0,0,0,2,1,6,35,41,48.33,99.67,48,99, ,2,Y,3,2,211500,1730700,0,0,1900,1988,0, , ,5.11,3.44,6,6.5,1,1004800004,0,41,985246,201934,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,295.4521111,4621.639542,1519200,0,0,260,259,20,4500,33.11000061,36.54333496,3.433334351,33.88368931,1.289506922,677.6737862 +260,MN,465,23,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,33 STUYVESANT STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"KUPTAMETHEE, SIRIROJ",640,2550,0,2550,0,0,0,0,0,0,2,1,5,2,2,32,16,32,16, ,3,Y,5,2,29430,74649,0,0,1901,0,0,St. Mark's Historic District, ,3.98,4,0,4,1,1004650023,0,40,987543,205262,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,117.3781458,752.2442667,45219,12,0,261,260,3,675,33.48777771,33.48777771,0,33.48777771,0,100.4633331 +261,MN,466,25,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,232 EAST 11 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,ST MARKS PROT EPIS CH,3001,3532,3532,0,0,0,0,0,0,3532,2,1,2,0,1,33.5,89.58,33,53, ,1,N,5,2,210600,463950,210600,463950,1935,0,0,St. Mark's Historic District, ,1.18,4,0,4,1,1004660025,0,40,987760,205436,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,258.2074032,3262.311195,253350,12,0,262,261,15,3375,32.08111191,37.89110947,5.809997559,33.46200053,2.220238972,501.9300079 +262,MN,429,33,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,25 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S4,4,0,P,"SANDERS, JOHN",981,3924,981,2943,0,981,0,0,0,0,2,1,4,4,5,15.33,64,15,64, ,3,N,3,5,218771,324805,0,0,1900,0,0, , ,4,4,0,4,1,1004290033,0,3002,988117,202687,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,166.9999741,1105.497951,106034,1,0,263,262,4,900,25.1779995,25.94555473,0.767555237,25.55749941,0.379548127,102.2299976 +263,MN,471,37,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,383 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,S3,4,0, ,"ELI-BEN, INC",2280,4736,950,3786,0,950,0,0,0,0,2,2,4,3,4,25.33,97.25,25,58, ,3,Y,5,5,52958,193072,0,0,1900,1989,0, , ,2.08,6.02,6,6.5,1,1004710037,0,41,985159,201669,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,249.8967651,2569.961095,140114,0,0,264,263,11,2475,29.42099953,31.59166527,2.170665741,29.6892317,0.641630155,326.5815487 +264,MN,543,22,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,117 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,NOAM ENTERPRISES INC,1856,6575,1450,5125,0,1450,0,0,0,0,2,1,4,5,6,25,74,25,62, ,3,N,5,5,207101,781942,0,0,1900,1966,0,South Village Historic District, ,3.54,3.44,0,6.5,1,1005430022,0,65,984089,205310,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,201.5936263,1870.736275,574841,9,0,265,264,8,1800,19.06100082,22.78111267,3.720111847,19.5260148,1.23031135,156.2081184 +265,MN,896,5,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,133 3 AVENUE,C1-9A, , , , , , , , , ,N,D7,4,0, ,"MCARTHUR MORGAN, LLC",1700,19987,1175,18812,0,1175,0,0,0,0,2,1,16,15,16,17,100,17,70, ,0,N,5,2,358200,526050,0,0,2013,2011,0, , ,11.76,10,2,10,1,1008960005,0,48,987956,206508,12c, ,102 036,10308,E-68,0, ,1, , ,17V1.1,0,233.830043,1668.18445,167850,5,0,266,265,8,1800,26.69333267,36.90333176,10.20999908,32.41725016,4.502034423,259.3380013 +266,MN,754,27,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,321 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR30,2271,4577,0,4577,0,0,0,0,0,0,2,1,4,20,20,23,98.75,23,51, ,3,N,5,2,153000,645300,0,0,1920,1943,0, , ,2.02,4,0,4,1,1007540027,0,103,985292,212629,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,262.6327487,2534.993932,492300,6,0,267,266,11,2475,33.70700073,34.5,0.792999268,33.86711155,0.284090698,372.5382271 +267,MN,401,13,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,506 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,EAST 24TH STREET HOL,2426,6825,0,6825,0,0,0,0,0,0,2,1,5,14,14,25,97,25,54, ,3,N,5,2,135000,884250,0,0,1920,1987,0, , ,2.81,3,0,3,1,1004010013,0,32,988814,203431,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,247.3208644,2506.276483,749250,1,0,268,267,11,2475,14.20666695,18.21555519,4.008888245,15.1739397,1.293373194,166.9133368 +268,MN,279,63,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,5 EAST BROADWAY,C6-1G, , , , , ,TA, , , ,N,K4,4,0, ,"FORSYTH STREET, L.L.C",1925,6491,6491,0,2000,3245,0,0,0,1246,2,1,4,0,4,25.25,78,25,78,E,3,Y,5,2,198000,601650,0,0,1910,0,0, , ,3.37,3.44,6,6.5,1,1002790063,0,27,984881,199120,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,206.7440106,1925.208424,403650,16,0,269,268,8,1800,27.60099983,31.2781105,3.677110672,28.06063867,1.216090048,224.4851093 +269,MN,540,35,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,208 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,"PRESTIGIACOMO, FRANCE",2500,11046,500,10546,0,500,0,0,0,0,2,1,6,22,22,25,100,25,86, ,3,N,5,2,146250,991800,0,0,1900,1987,0,South Village Historic District, ,4.42,3.44,0,6.5,1,1005400035,0,65,984145,204956,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.4602513,2706.4869,845550,9,0,270,269,13,2925,22.5755558,25.8785553,3.302999496,22.82963269,0.880148145,296.7852249 +270,MN,384,23,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,237 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0,P,237 REALTY LLC,1900,7334,0,7334,0,0,0,0,0,0,2,1,5,16,16,25,75.33,25,60, ,0,Y,4,1,171000,1161900,0,0,1900,0,0, , ,3.86,6,0,6,1,1003840023,0,2202,989183,202060,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,211.2473676,2066.328706,990900,1,0,271,270,9,2025,17.20222282,17.33399963,0.13177681,17.31935777,0.041413456,155.8742199 +271,MN,459,12,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,54 EAST 4 STREET,R8B,C6-1, , , , , , , , ,Y,C7,4,0, ,EAST MANHATTAN HOLDIN,2880,12045,2008,10037,0,2008,0,0,0,0,2,1,5,22,24,30.5,96.17,31,79, ,3,Y,5,1,549000,2138850,0,0,1900,2000,0,East Village/Lower East Side Historic Di, ,4.18,4,0,4,1,1004590012,0,38,986736,204005,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,262.1138366,3040.098061,1589850,1,0,272,271,13,2925,35.86666489,38.92666626,3.060001373,36.1849556,0.841619174,470.4044228 +272,MN,309,26,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,41 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,41-43 LUDLOW ST RLTYC,2188,8458,1918,6540,0,1918,0,0,0,0,2,1,5,8,10,25,87.5,25,63, ,2,N,5,2,45948,151433,0,0,1900,0,0, , ,3.87,6.02,6,6.5,1,1003090026,0,16,986872,200259,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,232.0651009,2284.347099,105485,13,0,273,272,10,2250,34.44444275,34.44444275,0,34.44444275,0,344.4444275 +273,MN,587,62,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,9 COMMERCE STREET,C2-6, , , , , , , , , ,N,C0,2,0, ,9 COMMERCE EQUITIES L,835,2584,0,1938,0,0,0,0,0,0,2,1,3,3,3,19.58,40,19.58,35, ,2,Y,3,1,47158,173956,0,0,1899,2012,0,Greenwich Village Historic District, ,3.09,3.44,2,6.5,1,1005870062,0,67,983131,205942,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,121.9690266,827.5326432,126798,9,0,274,273,3,675,17.76222229,17.76222229,0,17.76222229,0,53.28666687 +274,MN,544,48,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,30 COOPER SQUARE,M1-5B, , , , , , , , , ,N,O3,5,0, ,30 COOPER SQAURE PRTN,5802,52192,52192,0,52192,0,0,0,0,0,2,1,10,0,6,50,131,50,131, ,3,Y,5,2,437400,3555000,0,0,1928,1989,0,NoHo Historic District, ,9,0,5,6.5,1,1005440048,0,57,986568,204556,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,350.045327,5924.511526,3117600,9,0,275,274,27,6075,40.7820015,40.7820015,0,40.7820015,0,1101.11404 +275,MN,803,60,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,136 WEST 28 STREET,M1-6, , , , , , , , , ,N,C4,2,0, ,28TH STREET PROPERTIE,4938,18661,2550,16111,0,2550,0,0,0,0,2,1,5,22,23,50,98.75,50,86, ,3,N,5,2,255600,1032300,0,0,1901,0,0, , ,3.78,0,10,10,1,1008030060,0,95,986401,211253,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,303.3114684,5202.612428,776700,2,0,276,275,23,5175,36.93999863,37.5933342,0.653335571,36.98888779,0.145397337,850.7444191 +276,MN,214,7503,101,39,4000,2,1,10013,L008,1,15,7700,3,1, ,7 HUBERT STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,19282,109390,2928,106462,0,2928,0,0,0,0,2,4,15,34,35,171.03,176.1,0,0, ,0,Y,3,5,900002,14134953,25960,25960,2004,0,0,Tribeca West Historic District, ,5.67,6.02,6,6.5,1,1002147503,1388,39,981759,201971,12a, ,11N 039,10105, ,1002140014,12/15/2009,1, , ,17V1.1,7,709.547665,20078.93896,13235000,14,0,277,276,89,20025,13.08222198,14.83888912,1.756667137,14.65986269,0.463861606,1304.727779 +277,MN,832,39,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,284 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,D4,3,0, ,284 5 APT INC,5000,42689,9654,33035,0,6437,0,0,0,3217,2,1,8,38,41,40,125,40,125, ,2,N,3,2,873000,5370750,0,0,1900,1989,0, ,THE WILBRAHAM,8.54,10,10,10,1,1008320039,0,76,987943,211133,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,337.9304822,5386.317664,4497750,10,0,278,277,23,5175,41.02666855,41.02666855,0,41.02666855,0,943.6133766 +278,MN,809,8,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,155 WEST 33 STREET,C6-6, , , , , ,MID, , , ,N,K1,5,0, ,"155 WEST 33, LLC",2452,3700,3700,0,0,3700,0,0,0,0,2,1,1,0,2,25,98.75,25,99, ,0,N,5,2,517500,1688850,0,0,1932,2014,0, , ,1.51,10,15,15,1,1008090008,0,101,986894,212631,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,253.0712454,2582.808869,1171350,6,0,279,278,11,2475,41.24700165,41.24700165,0,41.24700165,0,453.7170181 +279,MN,529,20,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,21 BOND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,WILLIAM ISRAELS FARM,2863,16553,2500,14053,0,2500,0,0,0,0,2,1,6,5,6,25,114.5,25,109, ,3,N,5,2,210806,847099,7080,7080,1900,0,0,NoHo Historic District Extension, ,5.78,0,5,6.5,1,1005290020,0,5502,985912,203880,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,290.074295,3183.135836,636293,9,0,280,279,15,3375,41.23199844,43.53822327,2.306224823,41.38574677,0.575273543,620.7862015 +280,MN,767,54,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,218 WEST 18 STREET,C6-2A, , , , , , , , , ,N,O6,5,0, ,"ARC NY21618001, LLC",10775,167210,167210,0,139342,0,0,0,0,27868,2,1,12,0,77,100,142.5,100,184, ,3,Y,4,0,630000,22026150,0,1728000,1912,1984,2008, , ,15.52,6.02,6,6.5,1,1007670054,0,81,984509,209370,8d, ,103 033,10304, ,1007670054,12/15/1988,1, , ,17V1.1,0,489.5991003,11194.65538,21396200,7,0,281,280,51,11475,21.88888931,25.25111008,3.362220764,22.03720085,0.617982998,1123.897244 +281,MN,462,22,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,46 EAST 7 STREET,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,NASHER REALTY CORP.,1195,4675,0,4675,0,0,0,0,0,0,2,1,5,10,10,28,42.67,28,36, ,3,N,5,2,33934,135534,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.91,4,0,4,1,1004620022,0,38,987401,204522,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,148.2987881,1311.54264,101600,12,0,282,281,5,1125,35.00777817,35.17933273,0.171554565,35.04208908,0.068621826,175.2104454 +282,MN,350,46,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,16 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,SHUN LIN INCORPORATED,2500,5566,800,4766,300,500,0,0,0,0,2,1,5,8,9,25,100,25,44, ,2,N,5,2,73797,153753,0,0,1900,0,0, , ,2.23,4,0,4,1,1003500046,0,2201,988705,201871,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,253.2267046,2500.876602,79956,1,0,283,282,11,2475,21.56599998,25.48777771,3.921777725,23.16246466,1.467114615,254.7871113 +283,MN,550,24,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,6 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,H8,8,0,P,NEW YORK UNIVERSITY,4600,12000,630,0,630,0,0,0,0,0,2,1,6,11,12,50,92,50,46, ,3,N,5,0,107550,547650,97870,312599,1930,0,0,Greenwich Village Historic District, ,2.61,6.02,2,6.5,1,1005500024,0,59,985400,205895,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,285.4346183,4635.829857,440100,8,0,284,283,20,4500,26.29888916,27.73111153,1.432222366,26.67851133,0.506042805,533.5702267 +284,MN,616,143,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,349 WEST 4 STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,GRIFFIN GEORGE,552,2750,0,2200,0,0,0,0,0,0,2,1,4,2,2,22,25.08,22,25.08, ,3,N,5,1,35849,93160,1550,1550,1899,0,0,Greenwich Village Historic District, ,4.98,3.44,2,6.5,1,1006160143,0,77,983218,208570,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,99.50897328,616.9309248,57311,8,0,285,284,2,450,20.44199944,20.44199944,0,20.44199944,0,40.88399887 +285,MN,297,9,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,24 LUDLOW STREET,C6-2, , , , , , , , , ,N,S4,4,0, ,VJHC HOLDING CORP.,2194,7749,1600,6149,0,1600,0,0,0,0,2,2,5,4,5,25,87.42,25,87, ,3,Y,5,2,180959,743733,0,0,1910,0,0, , ,3.53,6.02,6,6.5,1,1002970009,0,16,986880,199904,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,226.1762167,2202.011577,562774,13,0,286,285,10,2250,32.98300171,33.56822205,0.585220337,33.04152374,0.175566101,330.4152374 +286,MN,229,4,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,345 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,TF 345 LLC,2225,4271,4271,0,0,2000,0,2271,0,0,2,1,3,0,1,25.5,89.08,25,89,E,3,Y,5,2,275400,717300,0,0,1920,1985,0,SoHo-Cast Iron Historic District, ,1.92,0,5,6.5,1,1002290004,0,47,983301,201898,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,241.6488813,2387.985978,441900,0,1,287,286,12,2700,9.686666489,12.35111046,2.66444397,9.908703486,0.73641341,118.9044418 +287,MN,859,83,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,4 EAST 30 STREET,C5-2, , , , , , , , , ,N,C5,2,0,P,ZIMAK CO,1975,6471,1000,5471,0,1000,0,0,0,0,2,1,5,9,10,20,98.75,20,82,E,3,N,5,2,87169,371293,0,0,1925,0,0, , ,3.28,10,10,10,1,1008590083,0,74,988136,210881,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,246.3151066,2064.002238,284124,10,0,288,287,9,2025,39.98900223,40.70700073,0.717998505,40.62722312,0.225645161,365.6450081 +288,MN,386,7,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,49 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S2,4,0, ,45-51 AVENUE B LLC,1725,2304,1024,1280,0,1024,0,0,0,0,2,2,3,2,3,19.17,90,16,64, ,0,N,5,5,11818,29030,0,0,1880,0,0, , ,1.34,4,0,4,1,1003860007,0,2601,989119,202681,12c, ,102 013,10203,E-216,1003860005,12/29/1993,1, , ,17V1.1,0,214.9286054,1582.758788,17212,1,0,289,288,6,1350,14.43666649,14.43666649,0,14.43666649,0,86.61999893 +289,MN,394,57,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,623 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"RFLP,",2581,5940,800,5140,0,800,0,0,0,0,2,1,5,9,10,25,103.25,25,47, ,2,N,5,2,7030,39484,0,0,1910,0,0, , ,2.3,4,0,4,1,1003940057,0,28,990295,204208,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,260.4329247,2490.361731,32454,12,1,290,289,12,2700,6.934999943,9.146666527,2.211666584,7.767268538,0.995529917,93.20722246 +290,MN,493,17,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,20 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"20-22 PRINCE, LLC",5750,22902,1880,21022,0,1880,0,0,0,0,2,1,6,48,50,47.5,129,48,113, ,3,Y,5,2,101700,3521700,0,0,1900,2013,2015, , ,3.98,6.02,6,6.5,1,1004930017,0,43,985762,202547,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,346.6957575,5868.839357,3420000,0,0,291,290,26,5850,42.74333191,44.6566658,1.913333893,42.82357553,0.368122089,1113.412964 +291,MN,849,24,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,31 EAST 20 STREET,M1-5M, , , , , , , , , ,N,C6,2,0, ,31 E 20 ST CORP,1932,5280,1600,3680,0,1600,0,0,0,0,2,1,4,6,7,21,92,21,90,E,3,N,5,1,107714,429583,0,0,1940,1962,0,Ladies' Mile Historic District, ,2.73,0,5,6.5,1,1008490024,0,52,987327,208528,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,235.9883185,2042.187657,321869,7,0,292,291,8,1800,34.69888687,34.69888687,0,34.69888687,0,277.591095 +292,MN,429,40,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,9 AVENUE A,R8A, , , ,C2-5, , , , , ,N,S3,4,0, ,RENTAL APARTMENTS,1507,4558,1140,3418,0,1140,0,0,0,0,2,1,4,3,4,18.83,80,19,78, ,3,N,5,5,106859,159283,0,0,1900,1986,0, , ,3.02,6,0,6,1,1004290040,0,3002,988039,202562,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,200.344324,1485.502672,52424,1,0,293,292,6,1350,25.1779995,25.1779995,0,25.1779995,0,151.067997 +293,MN,485,12,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,80 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,GREENE STREET OWNERS,5000,21100,2100,19000,0,2100,0,0,0,0,2,1,5,3,8,50,100,50,94,E,3,N,5,2,172695,610553,2360,2360,1920,2011,2015,SoHo-Cast Iron Historic District, ,4.22,0,5,6.5,1,1004850012,0,49,984154,202849,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,308.7222959,5260.599319,437858,0,0,294,293,24,5400,17.71444511,22.69333267,4.978887558,17.92189876,0.994912746,430.1255703 +294,MN,900,53,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,208 EAST 20 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"DAVIS, JAMIE",2024,2772,0,2772,0,0,0,0,0,0,2,1,2,2,2,22,92,22,92, ,2,N,5,2,40221,118609,0,0,1920,0,0, , ,1.37,4,0,4,1,1009000053,0,64,988656,207623,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,233.6818554,2122.473393,78388,5,0,295,294,10,2250,23.24022102,23.9066658,0.666444778,23.3068655,0.199933434,233.068655 +295,MN,897,12,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1Q,215 EAST 15 STREET,R7B, , , , , , , , , ,N,HS,5,0,X,FRIENDS HOME ASSOCIAT,2530,7336,0,0,0,0,0,0,0,0,2,1,5,1,2,24.5,103.25,24.5,60,E,2,N,5,1,454500,1527300,454500,1527300,1915,1988,0, , ,2.9,3,0,3,1,1008970012,0,48,988206,206630,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,255.7843907,2565.07575,1072800,5,0,296,295,12,2700,27.7444458,33.02999878,5.285552979,29.06759342,1.922444208,348.811121 +296,MN,915,28,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,625 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S3,4,0, ,625 2ND AVE. REALTY I,1469,3800,822,2978,0,822,0,0,0,0,2,1,4,3,4,19.33,76,19,50, ,3,N,5,5,184595,428972,0,0,1910,0,0, , ,2.59,10,2,10,1,1009150028,0,78,990896,210733,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,200.1400217,1635.302449,244377,10,0,297,296,7,1575,18.38999939,18.38999939,0,18.38999939,0,128.7299957 +297,MN,541,7501,102,65,5000,2,1,10012,L009,6,15,5700,2,2, ,245 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,RA,8,0,X, ,21950,141811,141811,0,0,0,0,0,0,141811,2,1,10,0,2,200.58,109.48,0,0, ,0,Y,0,5,2565000,26403506,2565000,26403506,2002,0,0, , ,6.46,3.44,0,6.5,1,1005417501,1369,65,984574,205254,12c, ,103 007,10207, ,1005410031,12/27/2004,1, , ,17V1.1,7,633.1780719,22834.38168,23838500,9,0,298,297,103,23175,25.83555603,29.3777771,3.542221069,26.84184845,0.441529967,2764.71039 +298,MN,818,7501,105,54,1005,2,3,10011,L003,13,15,5700,1,5, ,590 AVENUE OF THE AMER,C6-2A,C6-4A, , , , , , , , ,Y,RC,5,0,O, ,19209,144461,144461,0,50046,0,0,0,0,94415,2,1,16,0,2,134.2,179,42.17,65, 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C/O,2152,7955,2000,5955,0,2000,0,0,0,0,2,2,5,15,17,24.25,88.75,24,88,E,3,N,4,2,146250,609750,0,0,1940,0,0, , ,3.7,6.02,6,6.5,1,1002990024,0,16,986534,200013,12c,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,230.9540165,2147.736153,463500,13,0,316,315,11,2475,40.40000153,40.42666626,0.026664734,40.4031327,0.007767422,444.4344597 +316,MN,940,7501,106,78,5003,2,2,10016,L007,17,13,5000,2,6, ,333 EAST 34 STREET,C1-9A, , , , , , , , , ,N,RM,4,0, ,DEVON CONDOMINIUM,19532,193347,23834,169513,9497,0,14337,0,0,0,2,1,16,205,214,200.33,97.5,200,97.5, ,0,N,5,5,3248994,23758667,81853,111038,1961,0,0, , ,9.9,10,2,10,1,1009407501,1345,78,991410,210469,8d, ,103 036,10309, ,1009400020,2/27/2004,1, ,1,17V1.1,7,592.780293,19440.24293,20509700,10,1,317,316,86,19350,8.051111221,14.32999992,6.278888702,10.09552332,2.731570164,868.2150059 +317,MN,445,38,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,91 EAST 3 STREET,R7A, , , ,C2-5, , , , , ,N,D9,3,0, ,THERMALD REALTY ASSOC,3846,19785,3040,16745,0,3040,0,0,0,0,2,1,7,38,41,80,48.08,80,38, ,3,N,5,2,352800,2023200,0,0,1920,1964,0, , ,5.14,4,0,4,1,1004450038,0,38,987644,203361,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,266.5161447,4230.146915,1670400,1,0,318,317,19,4275,29.97444344,29.97444344,0,29.97444344,0,569.5144253 +318,MN,531,7504,102,55.02,2000,2,1,10012,L009,9,15,5700,2,2, ,380 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,RC,5,0, , ,8044,45071,45071,0,19086,25985,0,0,0,0,2,1,6,0,4,82.08,98,82.08,98, ,0,N,0,5,792000,9111151,0,0,1906,1988,0,NoHo Historic District,376-380 LAFAYETTE STREET BUILDING,5.6,0,5,6.5,1,1005317504,1683,5502,985973,204362,12c, ,103 009,10207, ,1005310012,4/24/2007,1, , ,17V1.1,7,387.1556749,9321.561407,8319150,9,0,319,318,43,9675,39.91555405,41.58566666,1.67011261,39.95439387,0.251710855,1718.038937 +319,MN,722,50,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,416 WEST 25 STREET,R8A, , , , , , , , , ,N,C4,2,0,P,416 W. 25TH ST. ASSOC,2468,9750,0,9750,0,0,0,0,0,0,2,1,5,22,22,25,98.75,25,85, ,3,N,5,2,46350,852300,0,0,1900,0,0, , ,3.95,6,0,6,1,1007220050,0,93,983851,211782,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,249.3668456,2549.426033,805950,2,1,320,319,12,2700,10.68099976,18.11666679,7.435667038,11.30063868,2.055109803,135.6076641 +320,MN,594,35,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,308 SPRING STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,UNITY ENVIRONMENTALCO,1875,8395,625,7770,0,625,0,0,0,0,2,1,5,16,17,25,75,24,73, ,2,N,3,2,156600,668250,0,0,1910,0,0, , ,4.48,6.02,6,6.5,1,1005940035,0,37,981891,203683,12a, ,101N063,10208, ,0, ,1, , ,17V1.1,0,208.2990023,2102.914692,511650,0,1,321,320,9,2025,7.988888741,11.99777794,4.008889198,9.030888769,1.578561552,81.27799892 +321,MN,409,43,103,18,2001,2,1,10002,E015,7,14,7400,1,3,2B,101 DELANCEY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,101 DELANCEY REALTY L,2884,16312,2884,13428,0,2884,0,0,0,0,2,1,6,20,25,88,37,86,37, ,2,Y,3,2,447750,1746900,0,0,1920,0,0, , ,5.66,3.44,6,6.5,1,1004090043,0,18,987325,201041,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,262.8312987,3695.673467,1299150,13,0,322,321,17,3825,32.20777893,33.80555344,1.597774506,32.55908562,0.634291475,553.5044556 +322,MN,142,17,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,37 HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,"JAMES, MEREDITH",1478,2660,0,1900,0,0,0,0,0,0,2,1,2,1,1,19.75,74.83,19.75,36, ,2,N,5,1,44860,123114,0,0,1960,2015,0, ,331 WASHINGTON STREET (WILLIAM B. N,1.8,10,10,10,1,1001420017,0,39,981197,201079,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,207.7919588,1838.184721,78254,14,0,323,322,9,2025,14.25300026,15.18888855,0.93588829,14.35698785,0.294121314,129.2128906 +323,MN,407,54,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,513 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,513 EAST 13TH STREETR,3872,16000,970,15030,970,0,0,0,0,0,2,1,6,27,29,37.5,103.25,38,88, ,2,N,5,2,157500,654300,0,0,1900,2011,0, , ,4.13,4,2,4,1,1004070054,0,34,989784,205100,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,285.8228339,3966.464401,496800,12,1,324,323,17,3825,11.62699986,11.62699986,0,11.62699986,0,197.6589975 +324,MN,412,34,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,163 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,165 LUDLOW OWNER LLC,1875,8500,1500,7000,0,1500,0,0,0,0,2,1,5,19,20,25.5,87.5,26,54, ,3,Y,5,1,31500,1342800,0,0,1910,2014,0, , ,4.53,4,4,4,1,1004120034,0,3001,987609,202146,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.5966896,2297.620524,1311300,1,0,325,324,10,2250,31.02499962,35.48111343,4.456113815,32.17477779,1.798587763,321.7477779 +325,MN,201,9,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,72 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,MOTT STREET 72 REALTY,2350,9445,1750,7695,0,1750,0,0,0,0,2,1,5,15,16,25,94,25,72, ,3,N,5,2,103050,946350,0,0,1900,0,0, , ,4.02,3.44,6,6.5,1,1002010009,0,29,984853,200231,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,238.1779053,2339.821753,843300,14,0,326,325,11,2475,33.0379982,36.20222092,3.164222717,33.32565481,0.909650074,366.5822029 +326,MN,141,7,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,144 READE STREET,C6-2A, , , , , ,TMU, , , ,N,A7,1,0, ,"LIM, LAUREEN",1350,5300,0,5300,0,0,0,0,0,0,2,1,5.5,1,1,25,53.5,25,54, ,3,Y,5,4,91097,243475,0,0,1915,2004,0, , ,3.93,6.02,6,6.5,1,1001410007,0,39,981504,200384,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,161.3749961,1410.233197,152378,14,0,327,326,6,1350,16.8029995,16.8029995,0,16.8029995,0,100.817997 +327,MN,528,76,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,60 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0, ,37A BEDFORD LLC,4500,21922,3650,18272,0,3650,0,0,0,0,2,1,6,30,35,75,60,60,75, ,2,N,3,2,540000,4114800,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.87,2.43,0,4.8,1,1005280076,0,67,983126,205104,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,278.2390811,4779.065928,3574800,9,0,328,327,22,4950,15.38333321,15.38333321,0,15.38333321,0,338.4333305 +328,MN,546,15,102,59,3004,2,1,10003,L009,6,15,5700,1,2,2A,14 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,H8,8,0, ,NEW YORK UNIVERSITY,10997,115694,6600,0,0,6600,0,0,0,0,2,1,14,151,155,114.25,96.25,114,96, ,2,N,3,2,585000,3992400,444600,3034224,1931,0,0, , ,10.52,3.44,0,6.5,1,1005460015,0,59,985574,205041,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,421.0005749,10996.57651,3407400,9,0,329,328,49,11025,35.5,38.59444427,3.094444275,35.7598413,0.781182442,1752.232224 +329,MN,905,38,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,238 EAST 25 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,234-240 E 25TH ASSOC,3950,15774,0,15774,0,0,0,0,0,0,2,1,6,30,30,40,98.75,40,85.75, ,2,N,5,2,316350,2106900,0,0,1900,0,0, , ,3.99,4,0,4,1,1009050038,0,66,989597,208600,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,276.7068304,3855.362549,1790550,11,0,330,329,16,3600,26.78800011,30.72444534,3.936445236,27.43919456,1.321343944,439.027113 +330,MN,770,70,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1Q,256 WEST 21 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,256 W 21 OWNERS CORP,7360,22000,0,22000,0,0,0,0,0,0,2,2,5,35,35,79.83,92,78.83,48, ,3,Y,5,2,580500,2372850,14570,14570,1900,1988,0, , ,2.99,4,0,4,1,1007700070,0,87,984549,210180,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,343.3509483,6974.851577,1792350,7,0,331,330,32,7200,22.20999908,24.82999992,2.620000839,22.84329814,0.935874709,730.9855404 +331,MN,910,14,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,229 EAST 29 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,229 E 29 OWNERS CORP,14562,55737,0,55737,0,0,0,0,0,0,2,1,6,113,113,150,98.75,67,150, ,3,N,5,2,981000,6197850,9440,9440,1940,1986,0, , ,3.83,4,0,4,1,1009100014,0,70,990030,209715,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,524.0389371,15037.71805,5216850,10,0,332,331,66,14850,34.37666702,39.98888779,5.612220764,36.22992926,1.966917164,2391.175331 +332,MN,588,32,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,38 BARROW STREET,R6,C2-6, , , , , , , , ,Y,C2,2,0, ,GINSBURG SUSAN,2171,3524,0,3524,0,0,0,0,0,0,2,1,3,5,5,22.5,96.5,23,48,E,2,N,5,5,218971,367714,5130,5130,1900,1983,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1005880032,0,73,983069,206076,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,242.6426019,2372.001161,148743,9,0,333,332,11,2475,18.94666672,21.47222137,2.525554657,19.59355562,0.937785836,215.5291119 +333,MN,434,49,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,417 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,417 E 6 LLC,2270,10386,0,10386,0,0,0,0,0,0,2,1,6,24,24,25,90.83,25,72, ,3,N,5,2,286200,982350,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,4.58,4,0,4,1,1004340049,0,32,988347,203862,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,240.0014894,2375.019598,696150,1,0,334,333,9,2025,20.12299919,21.86666679,1.743667603,20.31674004,0.54798186,182.8506603 +334,MN,400,26,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,540 EAST 5 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,540 EAST 5TH STREETEQ,3839,16326,1200,15126,0,1200,0,0,0,0,2,1,6,22,24,39.92,96.17,40,84, ,3,N,5,2,180000,1334700,0,0,1929,1983,0, , ,4.25,3,0,3,1,1004000026,0,32,989012,203036,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,272.4333812,3848.673155,1154700,1,0,335,334,17,3825,15.8922224,17.39999962,1.507777214,16.05790873,0.455030882,272.9844484 +335,MN,460,59,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,57 EAST 4 STREET,R8B,C6-1, , , , , , , , ,Y,C4,2,0,P,COOPER SQ. HOUSING DE,2404,12450,0,12450,0,0,0,0,0,0,2,1,6,17,17,25,96.17,25,82, ,2,Y,5,2,148050,1109700,148050,1109700,1910,1996,0,East Village/Lower East Side Historic Di, ,5.18,4,0,4,1,1004600059,0,38,986768,204162,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,250.0868327,2573.808846,961650,1,0,336,335,12,2700,35.65444565,39.70666504,4.052219391,35.9921306,1.119974274,431.9055672 +336,MN,419,72,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,294 BROOME STREET,C4-4A, , , , , , , , , ,N,D9,3,0, ,"WIN FENG, LLC",1881,8250,3750,4500,1875,1875,0,0,0,0,2,1,7,8,11,25.08,75,25,75, ,0,N,5,2,180000,847350,0,0,2000,0,0, , ,4.39,4,4,4,1,1004190072,0,18,986501,201154,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,205.4698572,1923.913632,667350,13,0,337,336,8,1800,39.86888886,39.86888886,0,39.86888886,0,318.9511108 +337,MN,527,56,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,52 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0,P,"RVL PROPERTIES,",2400,10012,800,9212,0,800,0,0,0,0,2,1,5,16,18,30,80,30,64, ,3,N,5,2,220500,1046250,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.17,2.43,0,4.8,1,1005270056,0,67,983255,205147,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,223.2389596,2410.770367,825750,9,0,338,337,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +338,MN,288,128,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,313 HENRY STREET,R7-2, , , , , , , , , ,N,A5,1,0, ,CHARLES FULTON OURSLE,2655,8256,0,6192,0,0,0,0,0,0,2,1,3,1,1,43.5,70.8,43,48, ,3,Y,5,1,31141,103680,0,0,1910,2002,0, , ,3.11,3.44,0,6.5,1,1002880128,0,202,989193,199511,12d, ,11N 060,10107, ,1002880028,1/4/2001,1, , ,17V1.1,0,243.5035256,3103.349299,72539,13,0,339,338,14,3150,29.70800018,32.56111145,2.853111267,30.35720648,0.905795559,425.0008907 +339,MN,851,7502,105,56,2001,2,2,10010,E014,13,15,5700,1,5, ,27 EAST 22 STREET,C6-4M, , , , , , , , , ,N,RM,4,0,P,L'ELYSEE CONDOMINIUM,3292,21385,2000,19385,0,2000,0,0,0,0,2,1,10,10,11,0.07,0,0,0, ,0,N,5,5,503100,3998248,33740,33740,1902,1982,0, , ,6.5,10,10,10,1,1008517502,133,56,987587,208958,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,7,275.1695676,3406.152966,3495150,11,0,340,339,16,3600,32.49111176,37.56666946,5.075557709,32.80833411,1.228596905,524.9333458 +340,MN,773,12,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,255 WEST 23 STREET,C2-7A,R8A, , , , , , , , ,Y,D4,3,0,P,CHELSEA GARDENS OWNER,39500,159090,10000,149090,0,10000,0,0,0,0,2,4,6,151,159,200,197.5,200,84, ,0,Y,4,2,3870000,14288400,243524,243524,1940,1985,0, , ,4.03,7.52,2,7.5,1,1007730012,0,91,985025,210781,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,808.1334875,40812.32495,10418400,2,0,341,340,182,40950,23.38899994,30.16888809,6.779888153,24.51414645,1.796817312,4461.574654 +341,MN,849,20,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,23 EAST 20 STREET,M1-5M, , , , , , , , , ,N,D4,3,0, ,JOLLY HOUSE STUDIOS,1480,11040,1000,10040,0,1000,0,0,0,0,2,1,8,7,8,20,74,20,72, ,3,N,5,1,173582,750449,4720,4720,1920,2009,0,Ladies' Mile Historic District, ,7.46,0,5,6.5,1,1008490020,0,52,987248,208561,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,196.1386082,1563.704023,576867,7,0,342,341,7,1575,34.69888687,34.69888687,0,34.69888687,0,242.8922081 +342,MN,531,49,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,42 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,4027,13308,13308,0,0,0,0,0,0,13308,2,1,4,0,1,44.42,90.42,44.42,90, ,0,Y,5,2,228150,459000,228150,459000,1920,0,0,NoHo Historic District Extension,FIREHOUSE ENGINE CO. THIRTY-THREE,3.3,0,5,6.5,1,1005310049,0,5502,986327,204139,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,276.9847331,4200.149357,230850,9,0,343,342,18,4050,41.26444626,41.26444626,0,41.26444626,0,742.7600327 +343,MN,464,54,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,11 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0,P,11 ST. MARKS ASSOCS.,2934,11200,1867,9333,0,1867,0,0,0,0,2,1,5,18,22,26,112.83,26,87, ,3,N,5,1,693000,2443950,0,0,1900,0,0, , ,3.82,4,0,4,1,1004640054,0,38,987297,205025,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,282.9371141,2934.503231,1750950,12,0,344,343,14,3150,34.9980011,36.23333359,1.235332489,35.68469919,0.48613208,499.5857887 +344,MN,618,7503,102,77,1000,2,3,10011,Q018,6,15,6100,3,2, ,218 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,RM,4,0, , ,3288,11560,2821,8739,0,2821,0,0,0,0,2,1,5,13,14,25,131.53,0,0, ,0,N,0,5,360000,1483201,2360,2360,1910,0,0, , ,3.52,6.02,6,6.5,1,1006187503,907,77,983965,208429,8d,Y,103 031,10209, ,1006180023,8/23/1995,1, , ,17V1.1,7,315.0676082,3243.364051,1123200,8,0,345,344,15,3375,22.30444527,25.29555511,2.991109848,22.66844508,0.932906027,340.0266762 +345,MN,911,14,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,221 EAST 30 STREET,R7B, , , , , , , , , ,N,O2,5,0,P,THE REMNANT PRESBYTER,3066,8537,8537,0,8537,0,0,0,0,0,2,1,4,0,1,31.5,98.75,31.5,52.75, ,3,N,5,2,270000,926100,270000,926100,1920,1915,0, , ,2.78,3,0,3,1,1009110014,0,70,990098,209972,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,258.9207454,2993.22777,656100,10,0,346,345,15,3375,29.97299957,29.97299957,0,29.97299957,0,449.5949936 +346,MN,97,49,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,233 WATER STREET,C6-2A, , , , , ,LM, , , ,N,W8,8,0, ,BLUE SCHOOL INC.,2418,4836,4836,0,0,0,0,0,0,4836,2,1,2,0,1,33.17,74.92,33,73, ,3,Y,5,2,326250,719100,0,0,1900,2016,2016,South Street Seaport Historic District, ,2,6.02,6,6.5,1,1000970049,0,1501,983511,197112,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,219.4587818,2547.000732,392850,4,1,347,346,11,2475,5.993332863,7.534444332,1.541111469,6.223231923,0.501755188,68.45555115 +347,MN,717,73,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,458 WEST 20 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,458 WEST 20TH STREET,2300,6680,0,6680,0,0,0,0,0,0,2,1,5,19,19,25,92,25,80,E,2,N,5,2,98100,679500,0,0,1900,1979,0,Chelsea Historic District, 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,101N079,10201,E-216,1003530080,11/15/2007,1, , ,17V1.1,0,196.3622261,1773.839774,519750,13,0,350,349,7,1575,26.83777809,26.83777809,0,26.83777809,0,187.8644466 +350,MN,416,61,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,159 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,GLEBOW REALTY ASSOCIA,2698,11367,3023,8344,0,2273,0,750,0,0,2,1,5,10,14,30.83,87.5,31,87,E,3,N,4,2,60300,706500,0,0,1900,0,0, , ,4.21,4,4,4,1,1004160061,0,3001,987294,201963,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,243.4539751,2751.811667,646200,13,0,351,350,12,2700,34.84777832,34.84777832,0,34.84777832,0,418.1733398 +351,MN,126,13,101,21,1006,2,1,10007,L010,1,15,7700,1,1,1A,53 PARK PLACE,C6-4, , , , , ,LM, , , ,N,D5,3,1,P,50 MURRAY STREET ACQU,9936,138600,8500,130100,0,8500,0,0,0,0,2,1,12,114,115,72.3,164.92,72,165, ,0,Y,3,2,1035000,14811300,0,0,1921,0,0, , ,13.95,10,10,10,1,1001260013,0,21,981435,199408,12b, ,101S017,10104, ,0, ,1, , 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,17V1.1,0,626.6861919,11262.29074,6007950,8,0,354,353,51,11475,28.91666603,33.77000046,4.853334427,32.18299772,0.574158602,1641.332884 +354,MN,862,26,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,31 EAST 32 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,KIAMIE EAST 32 ST INC,4938,53934,53934,0,48934,5000,0,0,0,0,2,1,12,0,16,50,98.75,50,99,E,3,N,5,2,1220850,4614300,0,0,1915,1986,0, , ,10.92,10,10,10,1,1008620026,0,74,988913,211215,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,313.3070696,5330.339749,3393450,10,0,355,354,23,5175,40.45000076,40.45000076,0,40.45000076,0,930.3500175 +355,MN,882,8,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,111 EAST 26 STREET,C4-5A,C6-4A, , , , , , , , ,Y,C5,2,0,P,111 E. 6TH STREET,10287,25596,0,25596,0,0,0,0,0,0,2,1,4,40,40,104.17,98.75,54,104,E,3,N,5,2,571500,3073050,0,2138553,1900,1985,0, , ,2.49,4,4,4,1,1008820008,0,68,988644,209600,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,409.4478887,10476.43493,2501550,11,0,356,355,45,10125,33.85400009,34.33889008,0.484889984,33.87582728,0.095917315,1524.412228 +356,MN,474,7,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,465 BROOME STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,54 GREENE ST REALTYCO,5494,34488,20800,13688,14000,5000,0,0,0,1800,2,1,6,5,14,50.33,109.17,50,109, ,2,Y,3,2,450000,2667600,0,0,1910,2013,2013,SoHo-Cast Iron Historic District, ,6.28,0,5,6.5,1,1004740007,0,47,983851,202424,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,334.069383,6048.751941,2217600,0,0,357,356,27,6075,14.17000008,18.92777824,4.757778168,14.75762971,1.326767363,398.4560022 +357,MN,476,45,102,47,2002,2,1,10013,L008,1,15,6800,1,2,1A,30 GRAND STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,26/32 N LLC,6180,26952,2790,24162,0,2790,0,0,0,0,2,2,6,40,44,99.67,62,50,62, ,0,N,3,2,435600,5120550,0,4059470,1900,0,0, , ,4.36,0,5,6.5,1,1004760045,0,47,982984,202668,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,327.4111647,6252.452218,4684950,0,1,358,357,28,6300,9.686666489,9.686666489,0,9.686666489,0,271.2266617 +358,MN,883,21,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,102 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,LEXINGTON 100 PROPERT,1580,4188,925,3263,0,925,0,0,0,0,2,1,4,7,8,19.75,80,20,53, ,3,N,5,2,109648,449835,0,0,1910,0,0, , ,2.65,6.02,6,6.5,1,1008830021,0,68,988946,209705,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,210.965016,1805.633738,340187,11,0,359,358,8,1800,33.29444504,34.38999939,1.095554352,33.43138933,0.362320545,267.4511147 +359,MN,405,31,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,192 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,PSA 190 AVENUE B LLC,2882,11924,1800,10124,0,1800,0,0,0,0,2,2,5,16,17,44,65.5,19,54, ,0,N,5,5,180000,1427850,0,0,1900,1990,0, , ,4.14,4,0,4,1,1004050031,0,34,989982,204514,12c, ,102 029,10203, ,1004050031,2/27/1990,1, , ,17V1.1,0,224.6116385,3063.811462,1247850,12,1,360,359,13,2925,11.72555542,13.18888855,1.46333313,11.94658111,0.45080649,155.3055544 +360,MN,617,31,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,100 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,A4,1,0, ,"GELFOND, RICHARD",1533,3024,0,3024,0,0,0,0,0,0,2,1,3,1,1,20.83,76.33,21,48, ,3,Y,5,2,69668,295202,0,0,1905,1987,0,Greenwich Village Historic District, ,1.97,3.44,2,6.5,1,1006170031,0,77,983765,208189,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,190.4817674,1514.291049,225534,8,0,361,360,7,1575,23.28222275,24.0431118,0.760889053,23.39092118,0.266255705,163.7364483 +361,MN,878,47,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,156 EAST 23 STREET,C2-8A, , , , , , , , , ,N,K4,4,0, ,BLERU REALTY CORP,2469,5625,5625,0,0,1875,0,0,0,3750,2,1,3,0,3,25,98.75,25,75,E,3,N,5,2,294750,486900,0,0,1915,1972,0, , ,2.28,10,2,10,1,1008780047,0,68,988712,208455,8d, ,104 005,10307, ,0, ,1, , 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,17V1.1,0,155.1136722,1390.353865,34616,13,0,364,363,7,1575,28.9066658,29.70800018,0.801334381,29.47273036,0.304285203,206.3091125 +364,MN,574,26,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,36 WEST 11 STREET,R6, , , , , , , , , ,N,S5,4,0, ,BARTLE FAMILY LIMITED,2054,4791,700,4091,700,0,0,0,0,0,2,1,3,6,7,21.67,94.75,21.67,42,E,3,N,5,2,130305,573417,0,0,1900,0,0,Greenwich Village Historic District, ,2.33,2.43,0,4.8,1,1005740026,0,63,985188,206858,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,239.3805746,2209.104923,443112,8,0,365,364,9,2025,24.13299942,26.19244385,2.059444427,24.36182658,0.647220942,219.2564392 +365,MN,348,74,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,170 DELANCEY STREET,R8A, , , ,C1-5, , , , , ,N,C7,4,0, ,"MR WILLANCEY, LLC",2500,12180,1200,10980,0,1200,0,0,0,0,2,1,6,22,24,25,100,25,89, ,3,N,5,2,225000,1247850,0,0,1920,0,0, , ,4.87,6,0,6,1,1003480074,0,1402,988353,200863,12c, ,101N080,10201, ,0, ,1, , 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ASSOC,2404,6875,0,6875,0,0,0,0,0,0,2,1,5,18,18,25,96.17,25,54, ,3,N,5,2,225000,1046250,0,0,1900,1989,0, , ,2.86,3,0,3,1,1004000013,0,32,988758,203176,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,242.4318307,2405.394246,821250,1,0,379,378,11,2475,15.8922224,19.71888924,3.826666832,16.46929316,1.115566524,181.1622248 +379,MN,375,29,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,740 EAST 6 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,HOPE- LIFE NOAH'S ARK,2135,3877,3877,0,0,0,0,0,0,3877,2,1,3,0,1,22,97,22,64,E,3,N,5,1,117000,353700,117000,353700,1900,0,0, , ,1.82,4,0,4,1,1003750029,0,2601,990378,202565,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,238.8170295,2138.59405,236700,1,1,380,379,10,2250,9.704999924,13.36777782,3.662777901,10.76583319,1.247601854,107.6583319 +380,MN,939,26,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,343 EAST 33 STREET,R8A, , , , , , , , , ,N,C7,4,1, ,33RD STREET ACQUISITI,2469,4976,960,4016,960,0,0,0,0,0,2,1,4,9,10,25,98.75,25,48, ,3,N,5,2,61528,302031,0,0,1901,1987,0, , ,2.02,6,0,6,1,1009390026,0,70,991306,210187,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,249.5004718,2435.972632,240503,10,1,381,380,10,2250,10.03999996,12.14000034,2.100000381,10.69933338,0.750472411,106.9933338 +381,MN,576,163,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,43 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"THOMASES, JEFFREY",598,2288,0,1888,0,0,0,0,0,0,2,1,4,1,1,11.33,52.75,11.33,52, ,3,N,5,1,76606,191577,0,0,1901,2005,0,Greenwich Village Historic District, ,3.83,2.43,0,4.8,1,1005760163,0,63,985319,207240,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,134.952847,828.7544926,114971,8,0,382,381,4,900,23.70299912,23.70299912,0,23.70299912,0,94.81199646 +382,MN,923,58,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,310 EAST 18 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"DYNO 310, LLC",1560,5048,0,3786,0,0,0,0,0,0,2,1,4,1,1,20.67,78,21,64,E,3,N,5,3,184766,357552,0,0,1910,1987,2008, , ,3.24,3,0,3,1,1009230058,0,48,989101,206829,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,196.9641173,1597.407267,172786,5,0,383,382,7,1575,16.06999969,17.43555641,1.365556717,16.26507923,0.47784531,113.8555546 +383,MN,283,29,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,151 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,K1,5,0, ,151 EAST BROADWAY COR,1875,2000,2000,0,0,2000,0,0,0,0,2,1,1,0,1,25,75,25,40, ,3,N,5,2,92700,248850,0,0,1945,0,0, , ,1.07,3.44,0,6.5,1,1002830029,0,6,986774,199325,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,208.1880331,1930.631188,156150,16,0,384,383,11,2475,30.73933411,34.48333359,3.743999481,31.73161697,0.966443884,349.0477867 +384,MN,882,35,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,145 EAST 26 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,145 E 26 LLC,2469,9500,0,9500,0,0,0,0,0,0,2,1,5,19,19,25,98.75,25,73, ,3,N,5,2,288000,1837800,0,0,1910,1962,0, , ,3.85,4,0,4,1,1008820035,0,68,989094,209351,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,255.5517493,2625.63925,1549800,11,0,385,384,11,2475,31.85222244,31.85222244,0,31.85222244,0,350.3744469 +385,MN,745,54,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,330 WEST 22 STREET,R7B, , , , , , , , , ,N,C3,2,0,P,DANIEL P BRUNETTO,2049,3675,1000,2675,0,1000,0,0,0,0,2,1,3,4,4,20.75,98.75,20.75,44, ,0,N,5,5,144617,312774,0,0,1900,0,0,Chelsea Historic District Extension, ,1.79,3,0,3,1,1007450054,0,89,984127,210702,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,237.8625288,1950.023648,168157,7,0,386,385,9,2025,15.97222233,17.41844368,1.446221352,16.15374035,0.447218094,145.3836632 +386,MN,238,7501,102,41,3001,2,1,10013,L006,5,15,6800,1,2, ,128 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,RC,5,0, , ,14006,92529,90169,0,61364,28805,0,0,0,0,2,1,7,0,52,149,94,149,94, ,0,Y,0,5,850496,11923650,0,0,1912,0,0, , ,6.61,6.02,6,6.5,1,1002387501,1756,41,985227,201037,12c, ,101N049,10105, ,1002380006,10/17/2007,1, , ,17V1.1,7,498.4715009,14855.45297,11073200,0,0,387,386,67,15075,31.72777748,33.3144455,1.586668015,31.93896891,0.193798424,2139.910917 +387,MN,705,32,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,413 10 AVENUE,C6-4, , , , , ,HY, , , ,N,S5,4,0, ,50 HYMC OWNER LLC,1856,6084,1200,4884,0,1200,0,0,0,0,2,1,4,6,7,24.75,75,24.75,60, ,0,N,3,2,144999,453267,0,0,1900,0,0, , ,3.28,10,10,10,1,1007050032,0,99,984296,214029,8d, ,105S016,10302,E-137,0, ,1, , ,17V1.1,0,208.3801931,2094.123929,308268,6,0,388,387,8,1800,28.08399963,34.84000015,6.756000519,29.62505531,2.685536829,237.0004425 +388,MN,355,70,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,152 STANTON STREET,R7A, , , , , , , , , ,N,C4,2,0,P,151 SUFFOLK ST. 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,101N039,10105,E-257,0, ,1, , ,17V1.1,0,235.6052996,2374.51477,994718,14,0,393,392,10,2250,12.05799961,12.05799961,0,12.05799961,0,120.5799961 +393,MN,885,50,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,156 EAST 30 STREET,R8B,C2-8, , , , , , , , ,Y,D6,4,0,P,156 E. 30 REALTY,2469,14364,1000,13364,1000,0,0,0,0,0,2,1,7,19,20,25,98.75,25,94, ,3,N,5,2,630000,1476900,0,0,1920,1998,0, , ,5.82,4,0,4,1,1008850050,0,72,989627,210055,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,251.6430294,2530.49815,846900,10,0,394,393,11,2475,30.56200027,30.56200027,0,30.56200027,0,336.182003 +394,MN,584,36,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,65 BEDFORD STREET,R6,C2-6, , , , , , , , ,Y,B9,1,0, ,"HATSAV, MOSHE",1600,3687,0,3687,0,0,0,0,0,0,2,1,3,2,2,20,80,20,50, ,3,N,5,2,24096,289860,0,0,1915,2008,2008,Greenwich Village Historic District, ,2.3,2.43,0,4.8,1,1005840036,0,67,982893,205624,12a, ,103 004,10208, ,0, ,1, , 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,17V1.1,0,262.7098629,2709.635091,777113,7,0,397,396,12,2700,30.80200005,31.17555618,0.373556137,30.83312972,0.103245462,369.9975567 +397,MN,877,18,106,68,3001,2,2,10010,E014,13,14,5300,1,6,1B,2 LEXINGTON AVENUE,R9A, , , , , , , , , ,N,H1,5,0, ,GPH PARTNERS LLC,10751,188933,0,0,0,0,0,0,0,0,2,1,16,23,24,131.5,84,165,131.5, ,2,Y,3,2,7200000,37455750,0,1496207,1924,1989,2005, , ,17.57,7.52,0,7.52,1,1008770018,0,68,988196,208350,8d, ,102 045,10307, ,1008770018,9/22/2006,1, , ,17V1.1,0,445.3108582,11630.41176,30255800,11,0,398,397,51,11475,26.32111168,27.97222137,1.651109695,26.38557786,0.319094503,1345.664471 +398,MN,796,58,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,132 WEST 21 STREET,C6-3A, , , , , , , , , ,N,W9,8,0, ,SCHOOL OF VISUAL ARTS,4232,51384,51384,0,23384,3000,0,0,0,25000,2,1,12,0,10,46,92,46,92, ,2,N,5,2,1282500,4540050,0,0,1910,0,0, , ,12.14,7.52,6,7.5,1,1007960058,0,87,985545,209625,8d, ,105 030,10305, ,0, ,1, , ,17V1.1,0,281.4860743,4347.836138,3257550,7,0,399,398,21,4725,28.3488884,32.38777924,4.038890839,28.54121653,0.860117568,599.3655472 +399,MN,874,47,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,146 EAST 19 STREET,C1-9A, , , , , , , , , ,N,A4,1,0, ,NAT SOBEL PUBLISHINGE,1840,3305,0,3305,0,0,0,0,0,0,2,1,4,1,1,20,92,20,40,E,3,N,5,2,67082,220630,0,0,1910,0,0,Gramercy Park Historic District, ,1.8,10,2,10,1,1008740047,0,50,988285,207552,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,238.7897266,2128.345019,153548,5,0,400,399,10,2250,27.68333435,27.68333435,0,27.68333435,0,276.8333435 +400,MN,898,1,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,195 3 AVENUE,C1-9A, , , , , , , , , ,N,D4,3,0, ,PARK TOWERS TENANTS C,19182,250220,38902,211318,19000,0,19902,0,0,0,2,1,32,270,277,184,105,105,184, ,1,N,3,2,2965500,22923450,609027,609027,1973,1989,0, , ,13.04,10,2,10,1,1008980001,0,48,988333,207190,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,601.2879882,20775.05191,19958000,5,0,401,400,93,20925,22.7840004,31.08333206,8.299331665,24.62291299,2.951796981,2289.930908 +401,MN,883,71,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,110 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0, ,"GOAL AND YAFA, LLC",1521,3792,806,2986,0,806,0,0,0,0,2,1,4,6,7,19.75,77,20,48, ,3,N,5,2,129653,538293,0,0,1910,0,0, , ,2.49,6.02,6,6.5,1,1008830071,0,68,988987,209774,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,200.2600671,1610.401226,408640,11,0,402,401,7,1575,33.29444504,33.29444504,0,33.29444504,0,233.0611153 +402,MN,162,10,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,18 MOTT STREET,C6-1, , , , , , , , , ,N,S9,4,0,P,"P & L YU, LLC",2375,10525,4370,6155,2185,2185,0,0,0,0,2,1,5,6,9,23.33,104.08,23,95, ,3,Y,5,2,145124,555100,0,0,1920,1987,0, , ,4.43,3.44,6,6.5,1,1001620010,0,29,984665,199520,12d, ,101S032,10105, ,0, ,1, , 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+405,MN,450,38,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,73 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,ALFRED FORSYTH,2348,4142,0,4142,0,0,0,0,0,0,2,1,4,4,4,25,93.92,25,46, ,3,N,5,5,147154,200695,0,0,1900,1987,0, , ,1.76,4,0,4,1,1004500038,0,38,988196,204519,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,229.4280181,2307.161832,53541,12,0,406,405,9,2025,25.4810009,25.4810009,0,25.4810009,0,229.3290081 +406,MN,244,19,103,2.02,2005,1,1,10002,E015,7,14,8000,1,3,1B,605 WATER STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,GOUVENEUR GARDENS HSG,24137,124600,0,124600,0,0,0,0,0,0,2,1,21,124,124,140.25,172.08,76.58,83.33, ,0,N,5,2,976500,4302000,976500,4302000,1964,0,0, , ,5.16,3.44,0,6.5,1,1002440019,0,202,988610,198314,12d, ,101N057,10106, ,0, ,1, ,1,17V1.1,0,631.0933237,24726.02445,3325500,16,1,407,406,111,24975,9.20222187,18.35666656,9.154444695,13.32528326,2.706036282,1479.106442 +407,MN,602,36,102,69,1008,2,3,10014,E024,6,15,6400,1,2,1B,611 WASHINGTON STREET,M1-5, , , , , , , , , ,N,O6,5,0, ,MORTON WEST LLC,12260,108764,108764,0,102764,6000,0,0,0,0,2,1,9,0,9,56.25,188.75,56.33,188.75, ,1,Y,3,2,1579500,10694250,0,0,1925,1985,0, , ,8.87,0,5,6.5,1,1006020036,0,69,981943,205565,12a, ,103 001,10208, ,0, ,1, , ,17V1.1,0,529.3891311,12597.75863,9114750,9,0,408,407,56,12600,12.62777805,14.59333324,1.965555191,12.72247248,0.381165102,712.4584589 +408,MN,419,47,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,122 FORSYTH STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,18 BOWERY REALTY CORP,2492,9718,2000,7718,0,2000,0,0,0,0,2,1,5,16,17,24.92,100,25,100,E,3,N,5,2,135000,445500,0,0,1900,0,0, , ,3.9,6.02,6,6.5,1,1004190047,0,18,986442,201317,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,256.9751061,2586.977019,310500,13,0,409,408,11,2475,39.86888886,44.57777786,4.708889008,40.29696967,1.35371041,443.2666664 +409,MN,439,2,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,184 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,184 FIRST REALTY,2500,6750,1350,5400,0,1350,0,0,0,0,2,1,5,8,10,25,100,25,50, ,3,N,5,2,69547,250737,0,0,1900,0,0, , ,2.7,4,0,4,1,1004390002,0,34,988803,205023,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,262.2982041,2653.736185,181190,12,0,410,409,13,2925,21.74699974,22.93444443,1.187444687,22.04232465,0.452212824,286.5502205 +410,MN,494,35,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,29 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,LAU'S I FAMILY LIMITE,1243,4962,790,4172,0,790,0,0,0,0,2,1,5,9,10,17.25,67.42,17,67, ,3,Y,5,2,77003,276757,0,0,1900,0,0, , ,3.99,6.02,6,6.5,1,1004940035,0,43,985496,202255,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,291.0952093,1470.564768,199754,0,0,411,410,7,1575,38.86500168,41.8777771,3.012775421,39.29539817,1.054251784,275.0677872 +411,MN,474,7502,102,47,2012,2,1,10013,E055,1,15,6800,1,2, ,471 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, ,471 BROADWAY CONDO,2845,13652,4772,8880,0,4772,0,0,0,0,2,1,5,4,5,26.67,106.67,0,0, ,0,N,5,5,68831,1101997,4720,4720,1900,0,0,SoHo-Cast Iron Historic District, ,4.8,0,5,6.5,1,1004747502,700,47,984075,202074,12c, ,101N070,10206, ,1004740037,11/15/1990,1, , ,17V1.1,7,272.9503936,2894.396118,1033170,0,0,412,411,12,2700,20.71800041,20.71800041,0,20.71800041,0,248.6160049 +412,MN,717,63,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,438 WEST 20 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,438 WEST 20 STREET LL,1533,3582,0,3582,0,0,0,0,0,0,2,1,4,1,1,16.67,92,17,50,E,3,N,5,2,228057,346492,0,0,1910,2013,2013,Chelsea Historic District, ,2.34,3,0,3,1,1007170063,0,89,982978,210767,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,221.580133,1532.101228,118435,7,1,413,412,8,1800,9.621110916,12.30666637,2.685555458,10.40986085,1.057597287,83.2788868 +413,MN,76,7,101,15.02,2001,2,1,10038,E006,1,15,7700,1,1,1B,27 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,O5,5,0,P,27 CLIFF STREET REALT,4782,21520,21520,0,21520,0,0,0,0,0,2,1,5,0,5,26.08,177.21,26,160, ,3,Y,4,2,371700,1296450,0,0,1948,1948,0, , ,4.5,10,10,10,1,1000760007,0,1502,982762,197404,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,394.600358,4979.205385,924750,4,0,414,413,21,4725,17.17333412,20.36666679,3.193332672,18.99460257,0.635397138,398.8866539 +414,MN,415,67,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,139 ORCHARD STREET,C4-4A, , , , , , , , , ,N,H9,5,0, ,ALLEN STREET OWNER LL,2192,19532,0,0,0,0,0,0,0,0,2,1,16,0,1,25,87.67,50,87, ,0,N,4,5,493200,1077750,0,0,2009,0,0, , ,8.91,4,4,4,1,1004150067,0,18,987154,201599,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.9685047,2305.875283,584550,13,0,415,414,9,2025,36.79666519,37.4659996,0.669334412,36.97750558,0.198061897,332.7975502 +415,MN,438,23,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,430 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,FRACLAC RLTY CORP,2369,9216,2000,7216,2000,0,0,0,0,0,2,1,6,22,23,25,94.75,25,82, ,3,N,5,2,227700,1150650,0,0,1910,0,0, , ,3.89,4,0,4,1,1004380023,0,34,989066,204711,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,247.5136608,2492.9853,922950,12,0,416,415,11,2475,17.63888931,19.46333313,1.824443817,17.81606085,0.522127992,195.9766693 +416,MN,333,1,103,22.01,4001,1,2,10002,L018,7,14,7600,1,3,2A,87 DELANCEY STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,MASARYK TOWERS CORP,357575,1191180,15080,1176100,0,15080,0,0,0,0,2,4,21,801,806,450,803.25,280.83,100.83, ,0,Y,5,0,13500450,26432550,13500450,26432550,1966,0,0, , ,3.33,3.44,0,6.5,1,1003330001,0,2201,989560,200822,12c, ,102 006,10201, ,0, ,1, , ,17V1.1,0,2507.342156,356229.0903,12932100,13,1,417,416,1585,356625,11.18111134,19.52000046,8.338889122,15.28746335,1.540631078,24230.62942 +417,MN,367,100,103,24,2000,1,2,10009,L011,9,14,6300,1,3,4A, AVENUE D,M3-2,M1-2, , , , , , , , ,Y,U1,7,2, ,POWER AUTHORITY OF TH,81150,0,0,0,0,0,0,0,0,0,7,5,0,0,0,206.5,422.5,0,0, ,0,Y,5,5,0,0,0,0,0,0,0, , ,0,0,2,0,1,1003670100,0,24,991787,204052,12c, ,102 032,10202, ,0, 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,17V1.1,0,256.275998,2539.216716,395550,0,0,424,423,13,2925,30.73800087,34.70111084,3.96310997,32.20071763,1.293221584,418.6093292 +424,MN,558,30,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,100 3 AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0,P,100 THIRD CORP,2600,15218,2444,12774,0,2444,0,0,0,0,2,1,7,6,7,26,100,26,100,E,3,N,5,2,151623,1052700,0,0,1930,2009,0, , ,5.85,6.02,6,6.5,1,1005580030,0,42,987531,206149,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,261.7404548,2777.546453,901077,12,0,425,424,13,2925,38.19900131,41.14210892,2.943107605,38.4253942,0.784247985,499.5301247 +425,MN,292,7501,103,16,3002,2,1,10002,L006,5,14,7400,1,3, ,1 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,RM,4,0, ,NEW OT SUN REALTY INC,2173,8727,4500,4227,1738,2762,0,0,0,0,2,1,6,8,15,92.76,69.2,0,0, ,0,Y,5,5,141749,1307250,2360,2360,1988,0,0, , ,4.02,3.44,6,6.5,1,1002927501,734,16,985903,199578,12d, ,101S030,10107, ,1002920032,11/15/1990,1, , ,17V1.1,7,240.0212137,2650.059365,1165500,16,0,426,425,11,2475,39.2472229,39.91899872,0.671775818,39.85792819,0.193121969,438.4372101 +426,MN,884,54,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,142 EAST 29 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,ST STEPHENS RC CHURCH,9275,11199,11199,0,0,0,0,0,0,11199,2,1,3,0,0,100,98.75,34.5,93, ,0,Y,5,5,1197000,1885950,1197000,1885950,1898,0,0, , ,1.21,4,0,4,1,1008840054,0,72,989359,209910,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,405.5995011,9706.179199,688950,11,0,427,426,42,9450,31.56888962,37.06100082,5.492111206,34.29326684,2.026703328,1440.317207 +427,MN,903,32,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,391 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S5,4,0,P,391 SECOND AVENUE REA,1463,3693,937,2756,0,937,0,0,0,0,2,1,4,6,7,18.75,78,19,55,E,3,N,5,2,118666,435696,0,0,1910,0,0, , ,2.52,10,2,10,1,1009030032,0,64,989406,208047,12c, ,104 007,10308,E-8,0, ,1, , ,17V1.1,0,196.4293485,1459.579663,317030,11,0,428,427,7,1575,19.86555672,19.86555672,0,19.86555672,0,139.058897 +428,MN,15,7502,101,13,2005,2,1,10004,E010,1,15,7700,1,1, ,20 WEST STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,THE DOWNTOWN CLUB CON,13928,179856,10000,168748,0,10000,0,0,0,0,2,1,45,283,284,78.67,179.58,76.67,179.58, ,0,Y,0,5,3150003,32022907,0,9460403,1930,2004,0, ,DOWNTOWN ATHLETIC CLUB BUILDING,12.91,10,15,15,1,1000157502,1557,13,979922,196558,12b, ,11S 003,10101, ,1000150019,5/19/2006,1,1,1,17V1.1,7,524.9609186,14367.15011,28872900,15,1,429,428,65,14625,7.869999886,9.284444809,1.414444923,7.983743506,0.33412317,518.9433279 +429,MN,542,19,102,65,3000,2,1,10012,L009,6,15,5700,1,2,2A,12 MINETTA STREET,R7-2, , , ,C1-5, , , , , ,N,B3,1,0, ,CROWN REALTY HOLDINGS,988,1824,0,1824,0,0,0,0,0,0,2,1,3,2,2,16.42,60.17,16.42,37, ,2,N,5,2,22215,75126,0,0,1899,0,0,South Village Historic District, ,1.85,3.44,0,6.5,1,1005420019,0,65,983866,205248,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,144.9664193,826.7577073,52911,9,0,430,429,3,675,18.37666702,18.37666702,0,18.37666702,0,55.13000107 +430,MN,586,42,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,49 CARMINE STREET,R6, , , , , , , , , ,N,S3,4,0,P,49 CARMINE STREET LLC,1875,5300,1000,4300,0,1000,0,0,0,0,2,2,4,3,4,25,75,25,75, ,3,N,3,5,173934,397132,0,0,1910,2013,0,Greenwich Village Historic District Exte, ,2.83,2.43,0,4.8,1,1005860042,0,67,983153,205262,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,204.71071,1996.682705,223198,9,0,431,430,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +431,MN,620,50,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,94 CHARLES STREET,C1-6, , , , , , , , , ,N,S1,4,0,P,THE 94 CHARLES STREET,814,3256,1628,1628,0,814,0,0,0,814,2,1,3,1,2,22,37,22,37, ,3,Y,5,5,94222,143125,0,0,1899,2012,2014,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1006200050,0,73,983025,206908,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,129.1770214,962.227067,48903,9,0,432,431,6,1350,24.70777702,26.91666603,2.208889008,25.20099926,0.814733946,151.2059956 +432,MN,720,71,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,448 WEST 23 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,"SYDNEY GROSS, AS TRUS",2683,9790,0,9790,0,0,0,0,0,0,2,1,5,5,5,27.17,98.75,27,96,E,3,N,5,5,364618,611000,0,0,1920,1980,0,Chelsea Historic District Extension, ,3.65,3,0,3,1,1007200071,0,93,983319,211444,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,258.5028072,2752.619508,246382,2,1,433,432,12,2700,9.369999886,11.16444397,1.794444084,9.789722125,0.72823809,117.4766655 +433,MN,768,19,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,231 WEST 18 STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,"ORETO, LLC",2300,6500,2500,4000,0,2500,0,0,0,0,2,1,3,2,5,25,92,25,90,E,3,N,5,5,183831,424964,0,0,1910,1964,2006, , ,2.83,6.02,6,6.5,1,1007680019,0,87,984473,209553,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,235.7150938,2354.148112,241133,7,0,434,433,9,2025,21.88888931,23.92000008,2.031110764,22.11456829,0.638316531,199.0311146 +434,MN,527,9,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,18 BEDFORD STREET,R6, , , , , , , , , ,N,C4,2,0, ,ESTATE OF THOMAS MCDO,1413,3860,0,3860,0,0,0,0,0,0,2,1,4,8,8,18.83,75,19,62, ,3,N,5,2,72532,216853,0,0,1900,1981,0,Greenwich Village Historic District Exte, ,2.73,2.43,0,4.8,1,1005270009,0,67,983316,204954,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,192.4435068,1442.003413,144321,9,0,435,434,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +435,MN,641,48,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,76 JANE STREET,R6, , , , , , , , , ,N,A4,1,0, ,"MAYNARD, EDWIN S",1100,2340,0,1755,0,0,0,0,0,0,2,1,3,1,1,13.75,80,13.75,50, ,3,N,5,1,32406,115464,0,0,1899,0,0,Greenwich Village Historic District, ,2.13,2.43,0,4.8,1,1006410048,0,79,982302,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,194.2803974,1197.190751,83058,8,0,436,435,5,1125,12.27999973,13.65333366,1.373333931,12.70177765,0.554545786,63.50888824 +436,MN,828,15,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,31 WEST 26 STREET,M1-6, , , , , , , , , ,N,O5,5,0,P,HIGHVIEW EQUITIES LLC,2469,11139,11139,0,8939,2200,0,0,0,0,2,1,6,0,6,25,98.75,25,97,E,3,N,5,2,319500,1169100,0,0,1900,1984,0,Madison Square North Historic District, ,4.51,0,10,10,1,1008280015,0,58,987004,210508,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,253.4571623,2576.197689,849600,2,0,437,436,12,2700,42.13444519,42.13444519,0,42.13444519,0,505.6133423 +437,MN,520,82,102,37,2000,2,3,10012,L020,1,15,6800,1,2,1A,45 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,B1,1,0, ,SMITH PATRICIA L,988,3136,0,2328,0,0,0,0,0,0,2,1,3,2,2,19.08,52,19.08,40, ,3,Y,5,1,32801,87069,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,3.17,3.44,0,6.5,1,1005200082,0,37,983537,204433,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,162.8950521,1172.989364,54268,9,0,438,437,5,1125,21.50111198,23.25,1.748888016,21.85088959,0.699555206,109.2544479 +438,MN,849,7502,105,52,2000,2,2,10003,E014,13,15,5700,1,5, ,7 EAST 20 STREET,M1-5M, , , , , , , , , ,N,RM,4,0,P,HOLTZ HOUSE CONDOMINI,4600,40748,14543,26205,14543,0,0,0,0,0,2,1,12,15,21,50,92,0,0, ,0,N,5,5,1102949,6539401,174730,795165,1908,1987,0,Ladies' Mile Historic District, ,8.86,0,5,6.5,1,1008497502,402,52,986980,208721,8d, ,102 043,10306, ,1008490007,11/30/1987,1, , ,17V1.1,7,295.3682388,4906.951044,5436450,7,0,439,438,22,4950,40.92599869,42.20888901,1.28289032,41.1369889,0.423861234,905.0137558 +439,MN,909,28,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,247 EAST 28 STREET,C1-8A,R8B, , , , , , , , ,Y,D6,4,0,P,MB GRAYSON LLC,13915,108614,8224,100390,0,8224,0,0,0,0,2,1,17,128,130,125,98.75,99,82, ,2,Y,3,2,1890000,16249050,0,0,1978,2012,0, , ,7.81,7.52,2,7.5,1,1009090028,0,66,990117,209383,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,594.5138526,14578.51725,14359100,11,0,440,439,65,14625,34.16444397,38.03666687,3.8722229,35.19694055,0.986207816,2287.801136 +440,MN,764,21,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C5,2,0,P,WEST 233RD REALTY LLC,3000,8455,4045,4410,1470,2575,0,0,0,0,2,1,5,6,8,25,120,25,103,E,3,N,5,1,150008,596549,0,0,1920,1980,0, , ,2.82,6.02,6,6.5,1,1007640021,0,81,983984,208669,8d,Y,103 032,10304, ,0, ,1, , ,17V1.1,0,308.3855969,3219.149894,446541,7,0,441,440,14,3150,24.42199898,25.03000069,0.608001709,24.47203091,0.156562973,342.6084328 +441,MN,779,53,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,216 WEST 30 STREET,M1-6D, , , , , , , , , ,N,K2,5,0, ,216 WEST 30 LLC,4624,7184,7184,0,0,7184,0,0,0,0,2,1,2,0,6,46.83,98.75,47,99, ,3,N,5,2,308250,698850,0,0,1918,0,0, , ,1.55,10,10,10,1,1007790053,0,95,986049,212038,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,290.9791647,4360.343294,390600,6,0,442,441,19,4275,31.05999947,33.2266655,2.166666031,31.26350814,0.59813473,594.0066547 +442,MN,557,39,102,61,3004,2,2,10003,E033,9,15,5700,1,2,3A,80 4 AVENUE,C6-1, , , , , , , , , ,N,D7,4,0, ,80 FOURTH AVENEU LLC,4600,33450,12415,21035,0,4000,0,0,0,8415,2,1,8,10,12,50,92,50,82, ,3,N,5,2,540000,3986100,135000,1710317,1928,2000,0, , ,7.27,3.44,6,6.5,1,1005570039,0,61,986847,205848,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,304.0904386,5179.209142,3446100,12,0,443,442,21,4725,41.29888916,41.29888916,0,41.29888916,0,867.2766724 +443,MN,833,18,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,39 WEST 31 STREET,C6-6,C6-4, , , , ,MID, , , ,Y,O6,5,0, ,ROOSEVELT LEE 38 LLC,9022,132844,132844,0,127485,5359,0,0,0,0,2,1,16,0,114,50,197.5,57,198, ,3,Y,4,2,5040000,8374950,0,0,1915,1986,0, , ,14.72,10,15,15,1,1008330018,0,76,987696,211650,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,517.5095285,9282.999144,3334950,10,0,444,443,42,9450,41.76111221,43.6293335,1.868221283,41.80559367,0.284820309,1755.834934 +444,MN,376,54,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,719 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,719 EAST SIXTH STREET,2302,9750,0,9750,0,0,0,0,0,0,2,1,5,20,20,25.33,90.87,25,78, ,3,N,5,2,150750,631350,150750,631350,1900,2009,0, , ,4.24,4,0,4,1,1003760054,0,2602,990295,202784,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,237.3240176,2379.147568,480600,12,1,445,444,10,2250,7.864444256,12.21666718,4.352222919,8.452888775,1.335173394,84.52888775 +445,MN,415,41,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,113 ALLEN STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,WILLIAM GOTTLIEB,2208,8257,2208,6049,0,2208,0,0,0,0,2,1,4,4,7,25,88.33,24,86, ,3,N,3,2,259093,825811,0,0,1920,2009,2007, , ,3.74,6.02,6,6.5,1,1004150041,0,18,986843,201424,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,235.4103221,2449.019429,566718,13,0,446,445,11,2475,37.10666656,37.10666656,0,37.10666656,0,408.1733322 +446,MN,613,32,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,25 PERRY STREET,R6, , , , , , , , , ,N,A4,1,0, ,DOYLE STEPHEN,1437,3738,0,2888,0,0,0,0,0,0,2,1,3,1,1,21.67,67,21.67,42,E,3,Y,5,1,40807,146534,0,0,1899,0,0,Greenwich Village Historic District, ,2.6,2.43,0,4.8,1,1006130032,0,73,983638,207375,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,195.9670548,1532.043546,105727,8,0,447,446,7,1575,25.34199905,25.42666626,0.084667206,25.35564995,0.029234712,177.4895496 +447,MN,429,37,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,15 AVENUE A,R7A, , , ,C2-5, , , , , ,N,K4,4,0, ,15 AVENUE A PROPERTIE,1580,5400,3120,2280,0,3120,0,0,0,0,2,1,4,3,4,19.75,80,19.75,78,E,3,N,5,2,251100,496800,0,0,1900,2003,0, , ,3.42,4,0,4,1,1004290037,0,3002,988067,202612,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,203.9443034,1633.244255,245700,1,0,448,447,8,1800,25.1779995,25.1779995,0,25.1779995,0,201.423996 +448,MN,453,3,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,178 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,ELDORADO HOLDING CORP,2583,7809,1300,6509,0,1300,0,0,0,0,2,1,5,4,5,25.83,100,26,94,E,3,N,5,5,113470,338839,0,0,1920,1986,0, , ,3.02,4,0,4,1,1004530003,0,40,988157,205408,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,260.2297394,2668.752088,225369,12,0,449,448,12,2700,26.65699959,29.9011116,3.244112015,27.13909229,0.981146236,325.6691074 +449,MN,32,7501,101,9,1017,2,1,10004,L015,1,15,7700,1,1, ,55 WATER STREET,C6-9, , , , , ,LM, , , ,N,RB,5,0,P,NEWTON STREET CORP,160692,3583167,3583167,0,3583167,0,0,0,0,0,2,1,53,0,52,415,355,382,318, ,0,Y,1,5,65249995,322005147,20294708,100153261,1973,0,0, , ,22.3,10,15,15,1,1000327501,997,9,981712,195465,12b, ,101S002,10101, ,1000320001,3/31/1998,1,1,1,17V1.1,7,1648.328804,163835.3641,256755008,17,1,450,449,732,164700,6.155555725,10.80222225,4.646666527,6.691729399,0.717609756,4898.34592 +450,MN,909,13,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,225 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"221-223 E. 28TH ST.,L",1810,6675,0,6675,0,0,0,0,0,0,2,1,5,10,10,18.33,98.75,18,88, ,3,N,5,2,77183,298175,0,0,1900,0,0, , ,3.69,4,0,4,1,1009090013,0,66,989897,209495,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,240.0011495,1858.85383,220992,11,0,451,450,9,2025,34.61700058,40.90888977,6.291889191,35.31609938,1.977350006,317.8448944 +451,MN,615,93,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,263 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"MANTELLO, JOSEPH",1775,5084,0,5084,0,0,0,0,0,0,2,2,3,1,1,25.08,70.5,21,30, ,2,Y,5,5,106969,350845,0,0,1920,2011,0,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1006150093,0,77,983365,208064,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,196.5783902,1818.59536,243876,8,0,452,451,9,2025,21.74111176,21.74111176,0,21.74111176,0,195.6700058 +452,MN,608,12,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,154 WEST 13 STREET,R6, , , , , , , , , ,N,S1,4,0, ,"WORT, MARGARET",2065,3600,960,2640,0,960,0,0,0,0,2,1,3,1,2,20,103.25,20,42, ,3,N,5,1,83250,172874,0,0,1899,0,0,Greenwich Village Historic District, ,1.74,2.43,0,4.8,1,1006080012,0,71,984335,207934,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.3398052,2092.643758,89624,8,0,453,452,9,2025,24.04400063,28.50222206,4.458221436,24.67982758,1.384446951,222.1184483 +453,MN,309,19,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,339 GRAND STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,N & F REALTY CORP,1400,4200,4200,0,0,1400,0,2800,0,0,2,1,3.5,0,2,17.5,80,18,80,E,3,N,3,1,74700,430650,0,0,1900,0,0, ,339 GRAND STREET HOUSE,3,6.02,6,6.5,1,1003090019,0,16,986979,200431,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,203.1127146,1581.983718,355950,13,0,454,453,7,1575,34.44444275,34.44444275,0,34.44444275,0,241.1110992 +454,MN,890,11,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,115 EAST 34 STREET,C1-9,C5-3, , , , , , , , ,Y,D6,4,0, ,34TH ST. SOUTH LLC,13133,164073,8586,155487,0,8586,0,0,0,0,2,1,21,195,196,133,98.75,133,68,E,3,N,5,2,5850000,25038000,0,0,1980,1981,0, , ,12.49,10,2,10,1,1008900011,0,72,989746,211390,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,467.4137099,13375.72478,19188000,10,0,455,454,60,13500,48.44666672,55.6922226,7.245555878,54.06537158,1.016598491,3243.922295 +455,MN,597,45,102,37,1012,2,3,10014,E024,1,15,6800,1,2,1B,547 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,D4,3,0, ,CHARLTON COOP CP,3750,20068,3000,17068,0,3000,0,0,0,0,2,1,6,9,11,50,75,48,71, ,3,N,5,2,153900,2476350,7080,7080,1920,1984,0, , ,5.35,0,10,10,1,1005970045,0,37,981860,204249,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,254.7552296,3901.214814,2322450,0,1,456,455,17,3825,10.67866707,10.99400043,0.315333366,10.96371286,0.085289389,186.3831186 +456,MN,926,1,106,64,4001,2,2,10010,E005,13,14,5900,1,6,1B,344 2 AVENUE,R8B,R9A, , , , , , , , ,Y,W1,8,0,C,NYC PARKS,101200,177800,177800,0,177800,0,0,0,0,0,2,1,4,0,5,184,550,174,306, ,0,Y,3,5,9585000,52111350,9585000,52111350,1954,0,0, , ,1.76,4,0,4,1,1009260001,0,64,989506,207377,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,1475.47678,102612.9988,42526400,5,0,457,456,457,102825,13.36222172,21.10000038,7.737778664,16.45983685,2.939683375,7522.14544 +457,MN,829,44,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,4 WEST 28 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,MAS SPECIALTIES INC,2469,11520,6255,5265,0,6255,0,0,0,0,2,1,4,6,8,25,98.75,25,96, ,3,N,5,2,290250,1271250,0,0,1920,0,0,Madison Square North Historic District, ,4.67,0,10,10,1,1008290044,0,58,987568,210607,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,246.3206775,2287.3871,981000,11,0,458,457,11,2475,40.15333176,40.15333176,0,40.15333176,0,441.6866493 +458,MN,440,36,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,199 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,199 AVE A LLC,2575,5706,1100,4606,0,1100,0,0,0,0,2,1,4,9,10,25.75,100,25.75,48, ,0,N,5,2,83974,303895,0,0,1900,0,0, , ,2.22,4,0,4,1,1004400036,0,34,989394,205028,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,257.3325877,2661.644818,219921,12,0,459,458,12,2700,16.59444427,18.06222153,1.467777252,17.07750003,0.539562125,204.9300003 +459,MN,142,18,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,39 HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,"PURITZ, DAVID",1480,3080,0,2200,0,0,0,0,0,0,2,1,2,1,1,20,74,20,44, ,3,N,5,1,37403,120853,0,0,1899,2008,0, ,329 WASHINGTON STREET (JOSEPH RANDO,2.08,10,10,10,1,1001420018,0,39,981193,201058,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,199.8564143,1619.49587,83450,14,0,460,459,8,1800,14.25300026,15.37444401,1.121443748,14.52447236,0.470539417,116.1957788 +460,MN,625,14,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,613 HUDSON STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,"GOTKO, LANCE",600,2080,0,1560,0,0,0,0,0,0,2,1,3,1,1,20,30.42,20,26, ,3,Y,5,1,23611,78280,0,0,1899,0,0,Greenwich Village Historic District, ,3.47,3.44,2,6.5,1,1006250014,0,79,982623,208064,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,103.3479634,616.4714635,54669,8,0,461,460,2,450,15.4800005,15.4800005,0,15.4800005,0,30.96000099 +461,MN,851,54,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,30 EAST 23 STREET,C6-4M, , , , , , , , , ,N,O6,5,0, ,30 E 23 REALTY LLC,2450,22512,22512,0,20312,2200,0,0,0,0,2,1,12,0,9,25,98.75,25,99, ,3,N,5,2,787500,2227050,0,0,1912,0,0, , ,9.19,10,10,10,1,1008510054,0,56,987641,209048,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,258.7103704,2608.928144,1439550,11,0,462,461,10,2250,32.49111176,32.49111176,0,32.49111176,0,324.9111176 +462,MN,303,7502,103,16,1002,2,1,10002,L006,5,14,7400,1,3, ,77 BOWERY,C6-1G, , , , , , , , , ,N,RC,5,0, , ,4488,32306,33667,0,21915,11752,0,0,0,0,2,1,9,0,16,38.08,118.08,38.08,110, ,3,N,5,5,616499,4648170,0,0,2040,1991,1991, , ,7.2,3.44,6,6.5,1,1003037502,2401,16,985518,200347,12c, ,11N 049,10107, ,1003030007,4/17/2014,1, , ,17V1.1,7,321.7049182,4703.549634,4031670,0,0,463,462,22,4950,41.4129982,45.03222275,3.619224548,41.57750841,0.753880475,914.7051849 +463,MN,436,60,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4B,85 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,85 ST MARKS DEVPMNTCP,1477,7385,1477,5908,0,1477,0,0,0,0,2,1,5,8,10,20,73.83,20,74, ,3,N,3,2,87707,243124,0,0,1920,0,0, , ,5,4,0,4,1,1004360060,0,32,988404,204388,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,195.8555707,1584.082179,155417,12,0,464,463,8,1800,17.84799957,20.89999962,3.052000046,18.22949958,1.00935414,145.8359966 +464,MN,640,72,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,36 BETHUNE STREET,R6, , , , , , , , , ,N,C6,2,0, ,34 36 BETHUNE ST OWNR,1970,2226,0,2226,0,0,0,0,0,0,2,2,3,8,8,24.5,80.42,16,30, ,2,N,5,0,75082,224863,3285,3285,1900,1989,0,Greenwich Village Historic District, ,1.13,2.43,0,4.8,1,1006400072,0,79,982161,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,216.0115194,2098.068961,149781,8,0,465,464,5,1125,11.96800041,15.16777802,3.199777603,13.56093349,1.406704088,67.80466747 +465,MN,297,19,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,21 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,HALIFAX MGMT CORP,1571,6650,1550,5100,0,1550,0,0,0,0,2,1,5,16,18,25.17,62.42,25,47, ,3,N,5,2,108000,945450,0,0,1900,1988,2005, , ,4.23,6.02,6,6.5,1,1002970019,0,16,986994,199914,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,183.657219,1679.026704,837450,13,0,466,465,8,1800,32.98300171,35.18444443,2.201442719,33.25818205,0.728058745,266.0654564 +466,MN,460,20,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,218 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,218 EAST 5TH STREETAS,2404,7356,800,6556,0,800,0,0,0,0,2,1,5,10,12,25,96.17,25,50, ,3,N,5,1,218700,1092600,0,0,1929,0,0,East Village/Lower East Side Historic Di, ,3.06,4,0,4,1,1004600020,0,38,986905,204202,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,239.1572251,2406.612458,873900,1,0,467,466,10,2250,35.65444565,40.12333298,4.468887329,37.08904533,1.82481138,370.8904533 +467,MN,745,61,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,344 WEST 22 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,VENTIDUE LLC,2057,4395,0,3296,0,0,0,0,0,0,2,1,3,1,1,20.83,98.75,20.83,53, ,3,N,5,1,43749,175148,0,0,1910,0,2013,Chelsea Historic District Extension, ,2.14,3,0,3,1,1007450061,0,89,983991,210777,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,241.2258685,2116.963067,131399,7,0,468,467,10,2250,15.9989996,19.15333366,3.154334068,16.95027752,1.253739962,169.5027752 +468,MN,174,9,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,73 LEONARD STREET,C6-2A, , , , , , , , , ,N,S4,4,0,P,73 TRIBECA LLC,2500,11945,2375,9570,0,0,0,2375,0,0,2,1,5,4,5,25,100,24.5,95,E,3,N,5,5,77817,566702,0,0,1910,2009,0,Tribeca East Historic District, ,4.78,6.02,6,6.5,1,1001740009,0,33,982812,200733,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,251.1238961,2456.792528,488885,14,0,469,468,11,2475,21.5755558,21.5755558,0,21.5755558,0,237.3311138 +469,MN,863,53,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,48 EAST 34 STREET,C5-2, , , , , , , , , ,N,H8,8,0,X,YESHIVA UNIVERSITY,7120,87550,0,0,0,0,0,0,0,0,2,1,19,0,1,72,98.75,72,66, ,3,N,5,2,3240000,5216400,3240000,5216400,1962,1986,0, , ,12.3,10,10,10,1,1008630053,0,74,989121,211513,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,351.1820389,7437.447022,1976400,10,0,470,469,33,7425,49.51499939,59.31999969,9.805000305,50.13166613,2.202812526,1654.344982 +470,MN,350,57,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,309 EAST HOUSTON STREET,R8A, , , ,C1-5, , , , , ,N,C6,2,0,P,309 313 E HOUSTON ST,5000,20837,2000,18837,0,2000,0,0,0,0,2,1,6,28,32,50,100,50,86, ,3,N,5,2,360000,1980000,40120,1222570,1920,1986,0, , ,4.17,6,0,6,1,1003500057,0,2201,988818,201975,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,305.7800206,5159.862262,1620000,1,0,471,470,21,4725,19.81333351,21.72222137,1.908887863,19.90423293,0.406514574,417.9888916 +471,MN,96,5,101,15.01,3009,2,1,10038,E006,1,15,7700,1,1,1B,207 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,0,C,NYC HPD,24165,80000,80000,0,1300,1300,0,0,0,0,2,12,4,0,31,62.08,205.75,20,65, ,0,Y,3,5,1800000,8184600,1800000,8184600,1983,1983,0,South Street Seaport Historic District, ,3.31,6.02,6,6.5,1,1000960005,0,1501,983392,196964,12b, ,101S008,10103, ,0, ,1,1,1,17V1.1,0,880.0630298,26243.32668,6384600,4,1,472,471,118,26550,5.993332863,9.178111076,3.184778214,6.106266066,0.415565005,720.5393958 +472,MN,572,33,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,14 WEST 9 STREET,R6, , , , , , , , , ,N,C1,2,0,P,"PIZZORUSSO, ANN",2209,5690,0,5690,0,0,0,0,0,0,2,1,4,8,8,23.5,93.92,24,74,E,3,N,5,1,199732,583684,0,0,1940,1987,0,Greenwich Village Historic District, ,2.58,2.43,0,4.8,1,1005720033,0,63,985085,206352,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,243.3458616,2338.631748,383952,8,0,473,472,11,2475,18.70499992,25.44000053,6.73500061,21.46272746,3.045322968,236.0900021 +473,MN,406,7501,103,34,1001,1,2,10009,L011,9,14,6200,4,3, ,212 AVENUE B,R7A, , , ,C1-5, , , , , ,N,RM,4,0, , ,3515,15486,4254,11232,0,4254,0,0,0,0,2,1,6,24,25,50.42,69.73,0,0, ,0,N,0,5,270000,1671747,4720,4720,1900,0,0, , ,4.41,4,0,4,1,1004067501,852,34,990118,204762,12c, ,102 029,10203, ,1004060030,12/16/1993,1, , ,17V1.1,7,251.2783347,3874.469602,1401750,12,1,474,473,18,4050,11.35888863,12.62777805,1.268889427,11.47839483,0.344103115,206.6111069 +474,MN,692,57,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,542 WEST 21 STREET,M1-5,C6-3, , , , ,WCH, , , ,Y,K2,5,0,P,540 WEST 21ST STREET,9200,9950,9950,0,0,9950,0,0,0,0,2,1,1.5,0,2,100,92,100,92, ,3,N,5,0,468000,1986750,0,0,1946,0,0, , ,1.08,0,5,6.5,1,1006920057,0,99,982229,211460,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,385.3362449,9260.641877,1518750,7,1,475,474,42,9450,6.881111145,7.215555668,0.334444523,7.122883729,0.043086766,299.1611166 +475,MN,70,20,101,15.02,2005,2,1,10038,E004,1,15,7700,1,1,1B,212 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K5,5,0, ,GELLOS REALTY LLC,1450,1450,1450,0,0,1450,0,0,0,0,2,1,1,0,1,25.92,69,23,66, ,2,Y,3,0,180900,224100,0,0,1975,0,0, , ,1,10,15,15,1,1000700020,0,1502,982517,196825,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,178.5349088,1583.123361,43200,4,1,476,475,7,1575,6.609000206,7.335555553,0.726555347,6.712793827,0.25424141,46.98955679 +476,MN,454,24,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,334 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,EASTVILLE REALTY LP,4750,19848,2000,17848,0,2000,0,0,0,0,2,1,6,34,36,46,103.25,46,90, ,3,N,5,2,531000,2173950,0,0,1900,0,0, , ,4.18,4,0,4,1,1004540024,0,40,988615,205565,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,305.3429187,4906.882472,1642950,12,0,477,476,22,4950,22.37666702,25.39666748,3.020000458,22.67899028,0.868037749,498.9377861 +477,MN,540,1,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,104 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,THE CACAPHONOUS GROUP,2500,11400,1800,9600,0,1800,0,0,0,0,2,1,6,22,24,25,100,25,88, ,3,N,5,2,234450,1601100,0,0,1900,1960,0,South Village Historic District, ,4.56,3.44,0,6.5,1,1005400001,0,65,984044,204989,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,259.2691646,2731.655005,1366650,9,0,478,477,12,2700,22.5755558,24.3955555,1.819999695,22.72722244,0.503021342,272.7266693 +478,MN,452,11,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,306 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,304-306 EAST 11TH STR,2843,11525,0,11525,0,0,0,0,0,0,2,1,5,20,20,30,94.75,30,83, ,3,N,5,2,219600,863100,0,0,1900,1987,0, , ,4.05,4,0,4,1,1004520011,0,40,988184,205200,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,250.8071506,2820.798732,643500,12,0,479,478,13,2925,22.86222267,28.39777756,5.535554886,23.28803459,1.47505574,302.7444496 +479,MN,792,63,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,148 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"RUBIN, DONALD CULTURA",2231,8675,3800,4875,0,3800,0,0,0,0,2,1,5,13,14,24.25,92,24,78, ,3,N,5,2,114750,1228500,22950,245700,1915,1987,0, , ,3.89,6.02,6,6.5,1,1007920063,0,81,984881,208874,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,235.8890744,2172.127734,1113750,7,0,480,479,9,2025,27.66555595,27.66555595,0,27.66555595,0,248.9900036 +480,MN,900,56,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,243 3 AVENUE,C1-9A, , , , , , , , , ,N,S9,4,0,P,COLONNADE 243 PROPERT,1027,4108,2054,2054,0,1027,0,0,0,1027,2,1,4,2,4,19.5,52.67,19.5,52.67, ,0,N,3,5,250044,583501,0,0,1915,0,0, , ,4,10,2,10,1,1009000056,0,64,988589,207701,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,151.8053122,1163.29124,333457,5,0,481,480,6,1350,23.24022102,26.41666603,3.176445007,24.48307355,1.310399997,146.8984413 +481,MN,530,42,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,52 BOND STREET,M1-5B,C6-1, , , , , , , , ,Y,C2,2,0, ,52 BOND STREET,1625,3750,0,3750,0,0,0,0,0,0,2,1,3.5,5,5,25,75,25,50, ,3,Y,5,5,79682,149065,0,0,1910,2005,0,NoHo Historic District Extension, ,2.31,0,5,6.5,1,1005300042,0,5502,986319,203803,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,207.4947505,1715.490368,69383,9,0,482,481,8,1800,43.14099884,43.14099884,0,43.14099884,0,345.1279907 +482,MN,620,76,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,199 WEST 10 STREET,R6, , , , , , , , , ,N,C7,4,0, ,"199 WEST 10 REALTY,",4570,19343,275,19068,275,0,0,0,0,0,2,1,6,25,26,50,95,50,80, ,3,N,5,2,360000,971100,0,0,1905,1981,0,Greenwich Village Historic District, ,4.23,2.43,0,4.8,1,1006200076,0,73,983190,206810,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,296.6201422,4978.572512,611100,9,0,483,482,20,4500,24.70777702,24.70777702,0,24.70777702,0,494.1555405 +483,MN,818,18,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,31 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C6,2,0, ,31 WEST 16 TENANTS CO,2300,8125,1200,6925,1200,0,0,0,0,0,2,1,4,5,6,16.11,92,16.11,59, ,3,N,5,1,119362,524686,7080,7080,1925,1970,0, , ,3.53,6.02,6,6.5,1,1008180018,0,54,985764,208278,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,239.3581458,2337.520343,405324,7,0,484,483,10,2250,31.11599922,32.19866943,1.082670212,31.37306633,0.402430368,313.7306633 +484,MN,225,4,101,39,1007,2,1,10013,L008,1,15,7700,1,1,3B,123 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,"OKANAGA NEW YORK, INC",1884,6580,6580,0,5000,0,0,1580,0,0,2,1,4,0,1,25.17,75,25,75,E,3,N,5,2,111600,720000,0,0,1940,0,0, , ,3.49,6.02,6,6.5,1,1002250004,0,39,981748,202999,12a, ,101N040,10105,E-257,0, ,1, ,1,17V1.1,0,196.4571152,1816.568426,608400,0,1,485,484,9,2025,8.35888958,8.35888958,0,8.35888958,0,75.23000622 +485,MN,765,52,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,214 WEST 16 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,214 W 16TH ST OWNERS,2581,11330,0,11330,0,0,0,0,0,0,2,1,5,16,16,25,103.25,25,86, ,3,N,5,2,133200,1062000,4720,4720,1901,0,0, , ,4.39,4,0,4,1,1007650052,0,81,984326,208898,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,260.5554377,2640.155486,928800,7,0,486,485,10,2250,22.05333328,23.83111,1.777776718,22.23111095,0.533333015,222.3111095 +486,MN,875,40,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,226 3 AVENUE,C1-9A, , , , , , , , , ,N,D7,4,0, ,151 EAST 19TH STREET,2568,12816,2200,10616,0,2200,0,0,0,0,2,1,6,20,22,46,55.83,46,56,E,3,N,3,2,589500,1968300,0,0,1912,1983,0, , ,4.99,10,2,10,1,1008750040,0,50,988383,207640,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,206.9628307,2668.416064,1378800,5,0,487,486,14,3150,25.84222221,25.84222221,0,25.84222221,0,361.791111 +487,MN,858,3,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,255 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,KEW MANAGEMENT CORP,4917,30000,30000,0,20000,10000,0,0,0,0,2,1,6,0,4,49.17,100,49,90, ,3,N,5,2,540000,3498300,0,0,1916,1989,0,Madison Square North Historic District, ,6.1,10,10,10,1,1008580003,0,74,987904,210629,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,303.6624383,5023.388901,2958300,11,0,488,487,22,4950,38.89199829,42.85777664,3.965778351,39.14509947,0.876094418,861.1921883 +488,MN,530,10,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,5 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,5 GREAT JONES ST TENA,2560,8744,2250,6494,0,2250,0,0,0,0,2,1,5,4,5,25.5,100,26,93,E,3,N,5,2,59187,277843,2360,2360,1900,0,0,NoHo Historic District, ,3.42,0,5,6.5,1,1005300010,0,5502,985852,204250,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,259.4075118,2656.22141,218656,9,0,489,488,11,2475,40.02500153,40.78333282,0.758331299,40.09394073,0.21800492,441.0333481 +489,MN,200,22,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,73 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,LUN WOO CO INC,2278,11112,2038,9074,0,2038,0,0,0,0,2,2,5,16,18,37.67,100.5,38,74, ,3,N,5,2,154350,812700,0,0,1915,0,0, , ,4.88,3.44,6,6.5,1,1002000022,0,29,984724,200278,12c, ,101S032,10105, ,0, ,1, , 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,N,H3,5,0, ,HHC 33 PECK SLIP HOLD,6204,39747,4963,0,0,4963,0,0,0,0,2,5,7,0,5,61.92,98.5,25,52, ,0,Y,3,5,2533500,5261850,0,0,1900,0,0,South Street Seaport Historic District, ,6.41,6.02,6,6.5,1,1001070038,0,1501,983874,197255,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,336.0490073,6673.017181,2728350,4,1,516,515,31,6975,6.452000141,6.452000141,0,6.452000141,0,200.0120044 +516,MN,31,7501,101,7,1018,2,1,10005,L015,1,15,7700, ,1, ,75 WALL STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,75 WALL ST. CONDO,30794,542247,30995,316775,0,3370,24207,0,0,3418,2,2,36,346,349,98,117.08,115,298, ,0,Y,4,5,17056073,91330646,0,23954066,1987,2007,2008, , ,17.61,10,15,15,1,1000317501,1836,7,981999,196142,12b, ,101S006,10101, ,1000310011,5/26/2009,1,1,1,17V1.1,7,823.8801788,32773.20731,74274600,17,1,517,516,144,32400,8.888889313,17.65333366,8.764444351,10.81335731,2.15887501,1557.123453 +517,MN,625,51,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,22 8 AVENUE,C1-6, , , , , , , , , ,N,S0,4,0, ,"ENDERS, ANNA",900,2557,1240,1317,0,1240,0,0,0,0,2,1,3,1,3,36.58,52.25,37,47, ,3,Y,3,5,46077,106686,0,0,1905,0,0,Greenwich Village Historic District, ,2.84,3.44,2,6.5,1,1006250051,0,77,983017,208023,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,133.6008543,816.5012575,60609,8,0,518,517,4,900,20.9066658,20.9066658,0,20.9066658,0,83.62666321 +518,MN,817,72,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,24 WEST 16 STREET,C6-2M, , , , , , , , , ,N,W6,8,0,P,COLLEGE ST FRANCIS XA,45250,59000,59000,0,0,0,0,0,0,59000,2,5,5,0,6,213.42,206.5,24,94, ,3,Y,4,5,11295000,42982200,11295000,42982200,1865,0,0, , ,1.3,6.02,6,6.5,1,1008170072,0,54,985655,208097,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,1319.875815,45832.18544,31687200,7,0,519,518,201,45225,30.57177734,34.9011116,4.329334259,30.98241578,0.735045857,6227.465572 +519,MN,8,44,101,9,1015,2,1,10004,L015,1,15,7700,1,1, ,102 BROAD STREET,C5-5, , , , , ,LM, , , ,N,U4,7,0,P,VERIZON NEW YORK INC,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,111.42,138.08,0,0, ,0,Y,3,5,0,0,0,0,0,0,0, , ,0,10,15,15,1,1000080044,0,9,980948,195451,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,492.8633069,15016.76866,0,17,1,520,519,68,15300,6.517333508,7.683333397,1.165999889,7.379660319,0.188076869,501.8169017 +520,MN,665,72,104,99,2,2,3,10018, ,10,15,5500,1,4,2B, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,320125,50000,50000,0,0,0,50000,0,0,0,2,3,1,0,1,508.67,506.83,100,506.83, ,0,Y,5,5,4500450,5639400,4500450,5639400,1900,0,0, , ,0.16,0,2,0,1,1006650072,0,99,982157,214747,8b, ,105S064,10301, ,0, ,1,1,1,17V1.1,0,1027.908722,8066.481168,1138950,6,1,521,520,28,6300,0,6.71333313,6.71333313,5.154630976,2.002779339,144.3296673 +521,MN,279,8,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,21 OLIVER STREET,R7-2, , , ,C2-5, , , , , ,N,M1,8,0,X,ST JAMES R C CHURCH,1584,3148,3148,0,0,0,0,0,0,3148,2,1,3,0,1,21.92,73,22,51, ,3,Y,5,1,123300,233100,123300,233100,1900,1987,0, , ,1.99,3.44,0,6.5,1,1002790008,0,27,984762,198834,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,184.6097708,1428.38995,109800,16,0,522,521,6,1350,16.23777771,17.07600021,0.838222504,16.73511124,0.369376363,100.4106674 +522,MN,469,37,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,213 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,C7,4,0, ,LAI'S MULTINAT'L RLTY,2009,8339,1855,6484,0,1855,0,0,0,0,2,1,5,8,10,26,77.25,26,77, ,3,N,3,2,91828,317987,0,0,1900,1986,0, , ,4.15,4,2,4,1,1004690037,0,40,988226,205920,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,213.9521418,2229.714925,226159,12,0,523,522,10,2250,29.06444359,30.28722191,1.22277832,29.18672142,0.366833496,291.8672142 +523,MN,720,7501,104,93,7000,2,3,10011,E003,10,15,5200,2,4, ,420 WEST 23 STREET,R7B, , , , , , , , , ,N,RM,4,0, ,PAUL ALLEN,7554,38168,6076,32092,6076,0,0,0,0,0,2,1,11,38,45,0.17,0,0,0, ,0,N,5,5,561155,6329700,63950,126621,1985,0,0, , ,5.05,3,0,3,1,1007207501,228,93,983584,211297,8b, ,105S005,10302, ,1007200057,12/5/1985,1, ,1,17V1.1,7,358.5378166,7872.38161,5768550,2,1,524,523,34,7650,9.369999886,14.42777729,5.057777405,9.591754773,0.940414901,326.1196623 +524,MN,754,63,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,340 WEST 31 STREET,C6-3X, , , , , , , , , ,N,G1,10,0, ,"POST OFFICE GARAGE,",9875,82750,82750,0,0,0,82750,0,0,0,2,1,8,0,1,100,98.75,100,89, ,3,N,5,2,900000,4662450,0,0,1972,0,0, , ,8.38,9,6,9,1,1007540063,0,103,985201,212801,8d, ,105S019,10304,E-137,0, ,1, , ,17V1.1,0,412.6850142,10638.15602,3762450,6,0,525,524,48,10800,33.70700073,39.97333145,6.266330719,34.98267635,2.121647896,1679.168465 +525,MN,623,35,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,58 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,"58 STREET TOWNHOME, L",1487,5200,0,4160,0,0,0,0,0,0,2,1,4,1,1,19.83,75,20,52, ,3,N,5,1,191312,354561,0,0,1910,2005,0,Greenwich Village Historic District, ,3.5,2.43,0,4.8,1,1006230035,0,77,983141,207651,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,191.5499796,1422.186836,163249,8,0,526,525,6,1350,22.60333252,25.65999985,3.056667328,23.11277707,1.139152655,138.6766624 +526,MN,417,58,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,191 ORCHARD STREET,C4-4A,C6-2A, , , , , , , , ,Y,C7,4,0,P,ELK CENTRAL PROPERTIE,4350,12910,2500,10410,0,2500,0,0,0,0,2,1,5,20,24,50,87.67,50,54, ,2,N,5,1,360000,2443950,0,0,1900,1985,0, , ,2.97,4,4,4,1,1004170058,0,3001,987476,202430,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,276.7413669,4354.028912,2083950,1,0,527,526,19,4275,33.19499969,33.19499969,0,33.19499969,0,630.7049942 +527,MN,451,22,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,222 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"LANDERS, JONATHAN A.",2306,5978,0,5978,0,0,0,0,0,0,2,1,5,9,9,25,92.25,25,64, ,3,N,5,2,57736,230404,0,0,1900,1986,0, , ,2.59,4,0,4,1,1004510022,0,40,988207,204901,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,240.9361015,2430.141006,172668,12,0,528,527,10,2250,23.10400009,27.42777634,4.323776245,24.59248886,1.849733945,245.9248886 +528,MN,203,5,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,44 ELIZABETH STREET,C6-2G,C6-1G, , , , ,LI, , , ,Y,G1,10,0, ,52 ELIZABETH ST LLC,9666,28875,28875,0,0,0,28875,0,0,0,2,1,2,0,1,125.08,100,125,100, ,0,Y,5,5,1287000,3315150,0,0,1958,0,0, , ,2.99,6.02,6,6.5,1,1002030005,0,41,985227,200479,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,453.3260264,10381.40913,2028150,0,0,529,528,45,10125,40.21222305,43.69333267,3.481109619,40.3564699,0.670686087,1816.041145 +529,MN,399,43,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,189 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,189 EAST 3 LLC,2308,9448,1900,7548,0,1900,0,0,0,0,2,1,6,16,18,24,96.17,24,82, ,3,N,5,2,197100,1057500,0,0,1900,0,0, , ,4.09,4,0,4,1,1003990043,0,32,988820,202737,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.7391659,2509.066034,860400,1,0,530,529,11,2475,18.04222298,18.04222298,0,18.04222298,0,198.4644527 +530,MN,614,3,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,291 WEST 4 STREET,R6, , , , , , , , , ,N,B3,1,0,P,"SANNI , NOAMAN",1175,2480,0,1860,0,0,0,0,0,0,2,1,3,2,2,18.08,65,18.25,34, ,3,N,5,1,42330,151241,6900,6900,1899,2012,0,Greenwich Village Historic District, ,2.11,2.43,0,4.8,1,1006140003,0,77,983293,207633,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,177.628654,1361.440566,108911,8,0,531,530,6,1350,26.80333328,26.80333328,0,26.80333328,0,160.8199997 +531,MN,874,43,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,218 3 AVENUE,C1-9A, , , , , , , , , ,N,S2,4,0, ,218 THIRD AVENUE,1080,2988,986,2002,0,986,0,0,0,0,2,1,3,2,3,18,60,18,60, ,0,N,5,5,83306,132710,0,0,1901,0,0, , ,2.77,10,2,10,1,1008740043,0,50,988319,207530,12c, ,102 046,10307, ,1008740042,12/18/1984,1, , ,17V1.1,0,160.1794414,1179.938939,49404,5,0,532,531,6,1350,27.68333435,27.68333435,0,27.68333435,0,166.1000061 +532,MN,471,13,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,389 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0,P,STANMILL REALTY CORP,2622,12200,7400,4800,2400,2500,0,2500,0,0,2,1,4,2,5,24.75,108.75,25,109,E,2,Y,5,2,146250,1004850,0,0,1900,1987,0, , ,4.65,6.02,6,6.5,1,1004710013,0,41,985045,201722,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,272.5675056,2757.400968,858600,0,0,533,532,13,2925,24.86333275,33.80222321,8.938890457,25.66786282,2.382624147,333.6822166 +533,MN,829,64,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,36 WEST 28 STREET,M1-6, , , , , , , , , ,N,K1,5,0, ,"36 WEST ASSOCIATES, L",2472,3216,3216,0,0,3216,0,0,0,0,2,1,1,0,1,25,98.75,25,88, ,3,N,5,0,380250,1332900,0,0,1983,2012,0, , ,1.3,0,10,10,1,1008290064,0,58,987134,210847,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,251.5558055,2548.096806,952650,2,0,534,533,12,2700,42.75111008,45.66110992,2.909999847,42.99361006,0.804281469,515.9233208 +534,MN,416,59,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,161 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,GLEBOW REALTY ASSOCIA,2698,11367,2273,9094,0,2273,0,0,0,0,2,1,5,11,14,30.83,87.5,31,87,E,3,N,4,2,193050,510750,0,0,1900,0,0, , ,4.21,4,4,4,1,1004160059,0,3001,987305,201992,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,245.708039,2855.188697,317700,1,0,535,534,12,2700,34.84777832,35.88444519,1.03666687,34.93416723,0.286519587,419.2100067 +535,MN,828,13,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,35 WEST 26 STREET,M1-6, , , , , , , , , ,N,L9,6,0, ,35 WEST 26TH STREETRE,2469,8970,2000,6970,0,2000,0,0,0,0,2,1,5,4,5,25,98.75,25,90,E,3,N,5,2,330750,1231650,0,0,1920,1993,0,Madison Square North Historic District, ,3.63,0,10,10,1,1008280013,0,58,986960,210533,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,250.7922167,2441.267889,900900,2,0,536,535,11,2475,42.13444519,42.13444519,0,42.13444519,0,463.4788971 +536,MN,887,30,106,72,5001,2,2,10016,L007,17,14,5300,1,6,2A,151 EAST 31 STREET,R8B,C6-2A,C1-9, , , , , , , ,Y,D6,4,0,P,MHP LAND ASSOCIATES,82950,800227,155834,644393,59342,56191,31566,0,0,8735,2,1,31,709,725,420,197.5,177,402, ,1,N,1,0,27000000,99630450,0,0,1988,0,0, , ,9.65,4,0,4,1,1008870030,0,72,989761,210510,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,1260.338305,86895.67773,72630400,10,0,537,536,388,87300,25.44666672,31.40999985,5.96333313,27.5663706,1.008249115,10695.75179 +537,MN,354,34,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,126 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,MATTHEW CLASSI 2012 F,1500,6250,1500,4750,0,1500,0,0,0,0,2,2,6,7,8,20,75,20,73, ,3,N,5,2,306566,621691,0,0,1900,2000,2000, , ,4.17,4,0,4,1,1003540034,0,3001,987855,201536,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,199.014803,1590.12239,315125,13,0,538,537,8,1800,28.01666641,28.01666641,0,28.01666641,0,224.1333313 +538,MN,402,36,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,106 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,MICHAEL CHANG,1919,7810,1000,6810,0,1000,0,0,0,0,2,1,5,8,10,29.75,64.5,30,52, ,2,N,5,2,15866,88094,0,0,1900,1983,0, , ,4.07,4,0,4,1,1004020036,0,32,989368,203405,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,195.7428279,2079.90922,72228,12,0,539,538,8,1800,12.85000038,12.85000038,0,12.85000038,0,102.8000031 +539,MN,401,58,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,511 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,C.K.C. 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PROPERTY, IN",2500,10125,2000,8125,0,2000,0,0,0,0,2,1,6,20,21,25,100,25,80, ,3,N,5,2,168750,835200,0,0,1920,1984,2012, , ,4.05,3.44,6,6.5,1,1002820027,0,8,986121,199245,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,260.4192068,2693.18523,666450,16,0,559,558,12,2700,34.88000107,37.80866623,2.928665161,35.34078789,1.032522195,424.0894547 +559,MN,772,41,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,207 WEST 22 STREET,R8A, , , ,C2-5, , , , , ,N,C0,2,0, ,"TRISTRAM, EDWARD W.",822,2368,0,2368,0,0,0,0,0,0,2,1,4,3,3,16.67,49.33,16.67,37, ,3,N,5,2,42945,100960,0,0,1901,0,0, , ,2.88,6,0,6,1,1007720041,0,91,985254,210228,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,135.9012942,852.94688,58015,2,0,560,559,4,900,22.16600037,24.20111084,2.035110474,22.67477798,0.881228685,90.69911194 +560,MN,822,39,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,160 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,RFL 160 FIFTH LLC,13110,112188,112188,0,100188,12000,0,0,0,0,2,1,9,0,11,92,142.5,92,143, ,2,N,3,2,2700000,33584850,0,0,1900,2013,2008,Ladies' Mile Historic District, ,8.56,10,10,10,1,1008220039,0,54,986736,208966,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,479.6202211,13679.51279,30884900,7,0,561,560,60,13500,35.09799957,42.63666916,7.538669586,35.63211079,1.814605633,2137.926647 +561,MN,423,20,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,121 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,C7,4,0,P,SANG SANG REALTY CORP,2213,9675,800,8875,0,800,0,0,0,0,2,1,5,16,18,25,100.5,25,75, ,0,Y,5,5,78750,487350,0,0,1900,0,0, , ,4.37,7.52,6,7.5,1,1004230020,0,18,985966,201179,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,242.1590487,2305.619711,408600,0,0,562,561,10,2250,34.16999817,38.61999893,4.450000763,34.8654541,1.457351394,348.654541 +562,MN,873,25,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,129 EAST 17 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"GEORGE F. OHRSTROM,",2300,11312,0,11312,0,0,0,0,0,0,2,1,6,6,6,25,92,25,92, ,3,N,5,5,129411,609911,0,0,1900,0,0, , ,4.92,4,0,4,1,1008730025,0,50,987939,207354,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,239.3044907,2425.276412,480500,5,0,563,562,11,2475,30.79533386,33.42444611,2.629112244,31.03434407,0.755816629,341.3777847 +563,MN,535,7501,102,55.01,1002,2,1,10012,L009,6,15,5700,2,2, ,14 WEST 4 STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,"STRUGATZ, DONNA",41800,323092,32600,290492,0,32600,0,0,0,0,2,1,12,274,275,209,200,200,0, ,0,N,5,5,3870000,39003300,165293,165293,1908,1980,0,NoHo Historic District, ,7.73,6.02,6,6.5,1,1005357501,295,5501,985656,204620,12c, ,103 009,10207, ,1005350047,12/25/1986,1, , ,17V1.1,7,860.939582,46310.55486,35133300,9,0,564,563,206,46350,36.75333405,39.81999969,3.066665649,37.83861994,0.498959637,7794.755707 +564,MN,822,45,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,4 WEST 21 STREET,C6-4A, , , , , , , , , ,N,D4,3,0, ,"GANGWANI, ASHOK",9384,119136,14882,104254,0,2604,12278,0,0,0,2,1,17,56,58,102,92,102,92, ,3,N,5,0,900000,15876000,35826,35826,2005,0,0,Ladies' Mile Historic District, ,12.7,10,10,10,1,1008220045,0,54,986627,209026,8d, ,102 042,10306,E-131,0, ,1, , ,17V1.1,0,390.8398523,9527.848082,14976000,7,0,565,564,43,9675,35.09799957,41.14777756,6.049777985,35.48872828,1.431858959,1526.015316 +565,MN,462,23,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,117 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,117 2 AVE CORP,1517,6170,3080,3090,1540,1540,0,0,0,0,2,1,4,2,4,21.67,70,22,70,E,3,N,3,5,118371,406987,0,0,1900,2006,0,East Village/Lower East Side Historic Di, ,4.07,4,0,4,1,1004620023,0,38,987451,204507,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,193.6754866,1723.96423,288616,12,0,566,565,9,2025,35.00777817,36.15444565,1.14666748,35.25975376,0.471441642,317.3377838 +566,MN,715,59,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,442 WEST 18 STREET,C6-3, , , , , ,WCH, , , ,N,G9,7,0, ,RETACO HOLDING CORP,21375,35720,35720,0,16720,0,19000,0,0,0,2,2,2,0,1,225,92,35,88, ,3,N,5,0,1395000,4788900,0,0,1915,2003,0, , ,1.67,7.52,6,10,1,1007150059,0,83,982717,210354,8b, ,103 041,10302,E-142,0, ,1, , ,17V1.1,0,641.8371139,21538.57315,3393900,7,1,567,566,98,22050,9.883333206,12.57111073,2.687777519,11.24815193,0.278490106,1102.31889 +567,MN,481,9,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,19 CLEVELAND PLACE,C6-1, , , , , ,LI, , , ,N,C5,2,0, ,FONTANA REALTY LLC,2680,11775,540,11235,0,540,0,0,0,0,2,1,5,16,17,27,99.25,27,100, ,2,N,5,2,295200,1536750,0,0,1900,1984,0, , ,4.39,3.44,6,6.5,1,1004810009,0,41,985064,202175,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,260.8005244,2889.437944,1241550,0,0,568,567,13,2925,35.01599884,35.40999985,0.394001007,35.04630661,0.104989194,455.6019859 +568,MN,187,30,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,105 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,FINE ARTS HOUSING INC,7587,89724,24000,65724,18000,6000,0,0,0,0,2,2,11,15,32,75.25,124.25,75,100,E,3,N,3,2,684000,11047050,11800,11800,1920,1980,1982,Tribeca West Historic District, ,11.83,6.02,6,6.5,1,1001870030,0,39,981755,201419,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,366.4894373,8217.583374,10363100,14,0,569,568,36,8100,17.89999962,19.43555641,1.535556793,18.01663547,0.355138547,648.598877 +569,MN,447,53,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,309 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,309 EAST 5TH STREET,4850,18864,2000,16864,0,2000,0,0,0,0,2,1,6,34,36,50,97,50,84, ,3,N,5,2,450000,2634750,0,0,1900,1987,0, , ,3.89,4,0,4,1,1004470053,0,38,987492,204050,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,301.8591806,5060.283723,2184750,1,0,570,569,25,5625,27.01499939,34.55055618,7.535556793,27.53000397,1.508301609,688.2500992 +570,MN,449,41,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,81 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,FIRST EASTERN GROUP C,2438,6128,1532,4596,0,1532,0,0,0,0,2,1,4,7,8,25,97.5,25,65, ,3,N,5,1,74765,257514,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.51,4,0,4,1,1004490041,0,38,988094,204283,12c, ,102 014,10205,E-216,0, ,1, , ,17V1.1,0,250.996287,2512.446945,182749,12,0,571,570,10,2250,25.48777771,26.19666672,0.708889008,25.6872221,0.263042601,256.872221 +571,MN,882,46,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,364 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,360-364 THIRD OWNER L,2755,12546,2400,10146,1200,1200,0,0,0,0,2,1,6,22,24,24.5,112,24.5,97,E,3,N,5,2,275850,1106100,0,0,1910,0,0, , ,4.55,10,2,10,1,1008820046,0,68,989269,209298,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,279.4602359,2826.757337,830250,11,0,572,571,12,2700,33.1230011,36.99477768,3.871776581,33.44564915,1.070102516,401.3477898 +572,MN,402,44,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,543 EAST 6 STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,543 EAST 6TH STRT REA,1820,7083,800,6283,0,800,0,0,0,0,2,1,5,8,9,20,90.83,20,91,E,3,N,5,2,6634,36420,0,0,1930,0,0, , ,3.89,4,0,4,1,1004020044,0,32,989280,203348,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,223.8777747,1741.13374,29786,1,0,573,572,7,1575,12.85000038,12.85000038,0,12.85000038,0,89.95000267 +573,MN,276,9,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,19 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,19 MONROE STREET REAL,2538,9575,2000,7575,0,2000,0,0,0,0,2,1,5,16,18,25,101.5,25,88, ,3,N,5,2,92250,549450,0,0,1900,0,0, , ,3.77,3.44,0,6.5,1,1002760009,0,8,985453,198565,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.498147,2590.34185,457200,16,0,574,573,13,2925,13.17555523,14.26111126,1.08555603,13.3250425,0.353413262,173.2255526 +574,MN,237,13,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,195 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0,P,ADELINE LEPORE,4324,6725,6725,0,1600,3200,0,1925,0,0,2,1,3.5,0,3,24.08,104,24,104, ,0,Y,5,5,241650,810000,0,0,1900,0,0, , ,1.56,6.02,6,6.5,1,1002370013,0,41,985048,201218,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,421.6878436,4487.589726,568350,0,0,575,574,19,4275,26.23111153,31.40799904,5.176887512,26.77604705,1.588746424,508.744894 +575,MN,418,31,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,98 FORSYTH STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,98 FORSYTH ST CORP,2558,12815,6415,6400,3915,2500,0,0,0,0,2,1,5,4,8,25.58,100,26,100, ,3,N,5,2,288000,758700,0,0,1900,0,0, , ,5.01,4,4,4,1,1004180031,0,18,986291,200930,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,255.578911,2584.421117,470700,13,0,576,575,12,2700,37.89666748,37.89666748,0,37.89666748,0,454.7600098 +576,MN,876,10,106,50,1002,2,2,10010,E014,13,14,5300,1,6,1B,1 GRAMERCY PARK WEST,R7B,C6-4A, , , , , , , ,LH-1,Y,D4,3,0,P,GRAMPARK INC,2888,10568,0,10568,0,0,0,0,0,0,2,1,4,10,10,26.25,110,26,96, ,2,N,3,1,258096,918949,0,0,1918,0,0,Gramercy Park Historic District, ,3.66,3,0,3,1,1008760010,0,50,987922,208349,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,282.2069937,3234.34567,660853,5,0,577,576,15,3375,31.73777771,32.79111099,1.053333282,31.97914098,0.404395858,479.6871147 +577,MN,277,52,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,31 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,31 CATHERINE LLC,2820,9876,1650,8225,0,1650,0,0,0,0,2,1,5,16,18,25.08,112,25,79, ,3,N,5,2,159750,577800,0,0,1900,0,0, , ,3.5,3.44,0,6.5,1,1002770052,0,8,985146,198860,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,276.0651028,2816.609415,418050,16,0,578,577,13,2925,21.55400085,24.78555489,3.231554031,22.49502637,1.413196584,292.4353428 +578,MN,404,18,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,528 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,528 E 11TH ST HSNG ET,5687,23594,1500,22094,0,1500,0,0,0,0,2,1,6,33,35,60,94.75,60,79, ,3,N,5,2,281250,691650,266310,266310,1900,1988,0, , ,4.15,4,0,4,1,1004040018,0,34,989646,204388,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,316.2545267,5927.907196,410400,12,0,579,578,26,5850,12.53199959,13.90777779,1.375778198,12.63496542,0.356833473,328.5091009 +579,MN,435,40,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,125 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,TOMPKINS SQUARE PARTN,2437,7513,1502,6011,0,1502,0,0,0,0,2,1,5,8,10,25,97.5,25,50,E,3,N,5,2,172499,502529,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.08,4,0,4,1,1004350040,0,32,988673,203961,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.3005935,2541.240501,330030,12,0,580,579,11,2475,18.46888924,20.41333199,1.944442749,18.64565676,0.558987988,205.1022244 +580,MN,609,33,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,110 WEST 14 STREET,C6-2A, , , , , , , , , ,N,D6,4,0,P,SAM AND JOSEPH SASSON,2825,26500,5300,21200,0,5300,0,0,0,0,2,1,10,8,9,25,106.5,25,90,E,2,Y,5,2,223918,1641973,0,0,1920,1987,2012, , ,9.38,6.02,6,6.5,1,1006090033,0,71,984890,207927,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,322.0260723,3077.644748,1418060,8,0,581,580,14,3150,25.65555573,29.77555656,4.120000839,25.9498415,1.061062449,363.297781 +581,MN,822,66,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,46 WEST 21 STREET,C6-4A, , , , , , , , , ,N,S9,4,0, ,"46 W. 21ST ST., LLC",2300,8950,1700,7250,0,1700,0,0,0,0,2,1,5,5,7,25,92,25,60,E,3,N,5,0,139968,827210,0,0,1920,1992,0,Ladies' Mile Historic District, ,3.89,10,10,10,1,1008220066,0,54,986244,209239,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,235.5701505,2327.271587,687242,7,0,582,581,10,2250,34.23199844,38.13666534,3.904666901,34.62246513,1.17140007,346.2246513 +582,MN,744,11,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,351 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,351 OWNERS CORPORATIO,1403,3924,0,3924,0,0,0,0,0,0,2,1,3,5,5,15.25,92,15,47, ,3,N,5,1,94920,403605,0,0,1900,1980,0,Chelsea Historic District, ,2.8,3,0,3,1,1007440011,0,89,983743,210514,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,218.8560359,1529.82935,308685,7,0,583,582,7,1575,15.84222221,15.88000011,0.037777901,15.84761906,0.013219511,110.9333334 +583,MN,833,10,105,76,1006,2,3,10001,L024,14,15,5200,1,5,1A,1263 BROADWAY,C6-6, , , , , ,MID, , , ,N,K4,4,0,P,"1263 BROADWAY,",2688,10752,10752,0,2618,8134,0,0,0,0,2,1,4,0,4,21.33,138.17,21,138, ,3,Y,4,2,900000,2684250,0,0,1910,0,0, , ,4,10,15,15,1,1008330010,0,76,987412,211802,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,321.9173685,2617.88464,1784250,6,0,584,583,11,2475,43.2480011,43.36444473,0.116443634,43.25858688,0.033475191,475.8444557 +584,MN,828,61,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,22 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,"VIA 27, LLC",4938,53100,53100,0,49100,4000,0,0,0,0,2,1,12,0,13,50,98.75,50,99,E,3,N,5,2,1458000,4015350,0,0,1910,0,0,Madison Square North Historic District, ,10.75,0,10,10,1,1008280061,0,58,987109,210566,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,302.8603757,5043.557819,2557350,2,0,585,584,22,4950,42.13444519,44.24188995,2.107444763,42.23023813,0.438978416,929.065239 +585,MN,386,5,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,45 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S9,4,0,P,45-51 AVENUE B LLC,3225,5523,2723,2800,0,2048,0,0,0,675,2,2,3,2,4,35.83,90,18,64, ,0,N,5,5,123454,287717,0,0,1880,2003,0, , ,1.71,4,0,4,1,1003860005,0,2601,989106,202657,12c, ,102 013,10203,E-216,1003860005,12/29/1993,1, , ,17V1.1,0,255.890104,3422.92321,164263,1,0,586,585,16,3600,14.43666649,19.28222275,4.845556259,14.99450684,1.482100252,239.9121094 +586,MN,861,75,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,315 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,AJ CLARKE RE CORP,4312,56000,56000,0,52000,4000,0,0,0,0,2,1,11,0,44,28.75,150,29,150, ,2,N,3,2,2745000,7362000,0,0,1907,1995,0, , ,12.99,10,10,10,1,1008610075,0,74,988354,211393,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,376.2208292,4921.5887,4617000,10,0,587,586,22,4950,38.80799866,43.12666702,4.318668365,40.30973643,1.868775446,886.8142014 +587,MN,500,15,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,128 WOOSTER STREET,M1-5A, , , , , , , , , ,N,S3,4,0,P,"128 WOOSTER, LLC",750,3863,773,3090,0,773,0,0,0,0,2,2,5,3,4,25,30,25,30, ,3,N,3,2,222968,783572,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.15,0,5,6.5,1,1005000015,0,49,984233,203502,12c, ,101N072,10206, ,1005000016,1/9/2013,1, , ,17V1.1,0,116.0114553,836.3567843,560604,0,0,588,587,5,1125,21.93222237,24.89599991,2.963777542,23.74644432,1.100471519,118.7322216 +588,MN,78,7502,101,15.02,1002,2,1,10038,E006,1,15,7700, ,1, ,41 JOHN STREET,C5-5,C6-4, , , , ,LM, , , ,Y,RM,4,0, ,41 JOHN STREET EQUITI,5516,17781,6674,11107,0,6674,0,0,0,0,2,2,4.5,4,6,51.25,110.83,0,0, ,0,Y,0,5,252634,1917498,0,0,1900,0,0, , ,3.22,10,15,15,1,1000787502,1006,1502,982046,197756,12b, ,11S 011,10102, ,1000780031,12/2/1998,1, , ,17V1.1,7,344.4742299,5804.64606,1664860,4,0,589,588,26,5850,31.0577774,34.06200027,3.00422287,33.84188916,0.763514869,879.8891182 +589,MN,621,58,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,56 PERRY STREET,R6, , , , , , , , , ,N,C4,2,0, ,56-58 PERRY,4320,23296,0,23296,0,0,0,0,0,0,2,2,5,40,40,71,72,30,70, ,2,N,3,1,567000,2721150,0,0,1880,1983,0,Greenwich Village Historic District, ,5.39,2.43,0,4.8,1,1006210058,0,73,983287,207185,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,276.6276462,4759.09594,2154150,8,0,590,589,20,4500,24.81222343,28.80111122,3.988887787,25.01629,0.868530608,500.3257999 +590,MN,719,68,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,446 WEST 22 STREET,R7B, , , , , , , , , ,N,B2,1,0, ,446 W. 22ND STREET LL,1080,3580,0,3580,0,0,0,0,0,0,2,1,4.5,2,2,15,72,15,52, ,2,N,5,2,60476,148738,0,0,1920,2005,0,Chelsea Historic District, ,3.31,3,0,3,1,1007190068,0,89,983294,211179,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,174.0024512,1100.225862,88262,7,1,591,590,4,900,10.39400005,10.39400005,0,10.39400005,0,41.57600021 +591,MN,135,12,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,28 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,ZLOT REALTY CORPORATI,2500,11600,11600,0,0,2000,0,9600,0,0,2,1,5,0,6,25,100.92,25,100.92, ,0,N,5,2,156150,936000,0,0,1915,0,0, , ,4.64,7.52,6,7.5,1,1001350012,0,21,982057,199552,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,258.7238412,2690.426808,779850,3,0,592,591,13,2925,32.66199875,32.66199875,0,32.66199875,0,424.6059837 +592,MN,592,32,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,171 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,C7,4,0, ,"171 WEST FOURTH,LLC",2775,11010,1510,9500,0,1510,0,0,0,0,2,1,6,15,17,43.17,69.83,43,52, ,3,Y,5,2,390150,2197800,0,0,1905,1986,0,Greenwich Village Historic District, ,3.97,2.43,0,4.8,1,1005920032,0,71,983851,206084,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,225.0091449,2949.059041,1807650,9,0,593,592,14,3150,17.50333405,18.9355545,1.432220459,17.7504767,0.494981033,248.5066738 +593,MN,897,30,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,208 EAST 16 STREET,R7B, , , , , , , , , ,N,I5,8,0,X,AHRC NYC NEW PROJECTS,3975,8748,8748,0,0,0,0,0,0,8748,2,1,4,0,1,38.5,103.25,38.5,60, ,3,N,5,2,317700,776700,317700,776700,1915,1986,0,Stuyvesant Square Historic District, ,2.2,3,0,3,1,1008970030,0,48,988196,206755,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,283.4204893,3831.352855,459000,5,0,594,593,16,3600,27.7444458,31.19999886,3.455553055,28.79193139,1.38224529,460.6709023 +594,MN,504,16,102,37,3000,2,3,10013,L020,1,15,6800,1,2,1A,198 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,"HAMILTON, STEVE L.",2500,6744,1375,5369,0,1375,0,0,0,0,2,1,3,5,6,25,100,25,55, ,3,N,5,5,144148,291922,0,0,1800,0,0,Sullivan-Thompson Historic District, ,2.7,3.44,0,6.5,1,1005040016,0,37,983389,203955,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,251.3226621,2492.121302,147774,0,0,595,594,11,2475,19.94300079,23.9533329,4.010332108,20.46260678,1.206837811,225.0886745 +595,MN,911,32,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,549 2 AVENUE,C1-8A, , , , , , , , , ,N,S3,4,0, ,547 SECOND AVE REALTY,1516,4484,1290,3194,0,1290,0,0,0,0,2,1,4,3,4,19.67,77,20,75,E,3,N,5,5,177660,412776,0,0,1910,1984,0, , ,2.96,7.52,2,7.5,1,1009110032,0,70,990396,209833,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,198.4957224,1567.097721,235116,10,0,596,595,7,1575,29.22888947,33.56888962,4.340000153,30.43411146,1.807043328,213.0387802 +596,MN,807,7501,105,101,1007,2,3,10001,L024,14,15,5200,1,5, ,125 WEST 31 STREET,C6-4.5, , , , , ,MID, , , ,N,RM,4,0, ,125 WEST 31ST STREET,22080,473783,147716,326067,0,4917,25009,0,0,117790,2,1,59,458,461,120,197.5,120,197, ,0,Y,0,5,4291651,84643768,3935906,84288023,2005,0,0, , ,21.46,10,12,12,1,1008077501,1641,101,986982,212057,8d, ,105S024,10305, ,1008070026,5/4/2007,1, , ,17V1.1,7,666.5167971,23015.59612,80352096,6,0,597,596,102,22950,37.13700104,40.92333221,3.786331177,37.42026998,0.903494672,3816.867538 +597,MN,610,25,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2K,176 WAVERLY PLACE,R6, , , , , , , , , ,N,C5,2,0, ,176-178 WAVERLY PLACE,1453,3077,0,3077,0,0,0,0,0,0,2,1,3,8,8,17,85.5,17,56,E,3,Y,5,1,95614,287548,0,0,1905,2005,0,Greenwich Village Historic District, ,2.12,2.43,0,4.8,1,1006100025,0,73,983823,206750,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,210.6881347,1439.010935,191934,8,0,598,597,6,1350,20.06299973,20.06299973,0,20.06299973,0,120.3779984 +598,MN,833,28,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,19 WEST 31 STREET,C6-4, , , , , , , , , ,N,H3,5,0,P,LIFE HOTEL ONE LLC,4906,37213,0,0,0,0,0,0,0,0,2,1,8,0,2,50,98.75,50,99,E,3,N,5,2,2056500,5937750,0,0,1900,1983,0, , ,7.59,10,10,10,1,1008330028,0,76,987854,211509,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,308.7638139,5370.865524,3881250,10,0,599,598,24,5400,41.76111221,44.24666595,2.485553741,42.14750067,0.82765761,1011.540016 +599,MN,276,53,103,8,3000,2,1,10038,E009,5,14,7800,1,3,1A,45 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,YAN'S SISTER'S CORP.,1755,7080,1400,5680,0,1400,0,0,0,0,2,1,5,8,10,27.25,65.75,27,52, ,3,Y,5,2,159215,490100,0,0,1915,1988,0, , ,4.03,3.44,0,6.5,1,1002760053,0,8,985168,198655,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,198.9797256,2058.814415,330885,16,0,600,599,7,1575,13.17555523,13.17555523,0,13.17555523,0,92.2288866 +600,MN,880,42,106,68,5001,2,2,10010,E016,13,14,5300,1,6,1B,330 3 AVENUE,C2-8, , , , , , , , , ,N,D4,3,0,P,330 THIRD AVENUE OWNE,13062,186201,21000,165201,1000,0,20000,0,0,0,2,1,20,206,208,155.5,84,156,84, ,2,N,3,2,1719000,16689600,394817,394817,1964,1989,0, , ,14.26,10,2,10,1,1008800042,0,68,989026,208831,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,497.7427093,14034.64461,14970600,11,0,601,600,63,14175,29.34399986,31.74777794,2.403778076,29.691418,0.626338008,1870.559334 +601,MN,345,6,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,162 ATTORNEY STREET,R7A, , , , , , , , , ,N,M9,8,0,X,IGLESIA EVANGELICA HI,2500,2500,2500,0,0,0,0,0,0,2500,2,1,1,0,1,25,100,25,100, ,3,N,5,0,103500,200700,103500,200700,1920,2004,0, , ,1,4,0,4,1,1003450006,0,2201,988939,201777,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,252.6801982,2479.405435,97200,1,0,602,601,11,2475,18.41222191,22.16222191,3.75,18.753131,1.078049202,206.284441 +602,MN,489,3,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,59 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,S1,4,0, ,SPRICE INC,1260,2142,390,1752,390,0,0,0,0,0,2,1,3,1,2,21,60,21,58,E,3,N,5,2,18191,63219,0,0,1900,1987,0,Sullivan-Thompson Historic District, ,1.7,0,5,6.5,1,1004890003,0,47,983120,203103,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,169.3440244,1366.691156,45028,0,1,603,602,6,1350,9.686666489,12.12511158,2.438445091,10.093074,0.908754831,60.55844402 +603,MN,615,47,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,23 BANK STREET,R6, , , , , , , , , ,N,C6,2,0, ,23 BANK ST CORP,1900,4368,0,4368,0,0,0,0,0,0,2,1,4,4,4,21.83,90,22,48,E,3,N,5,1,128801,354203,2360,2360,1910,1985,2013,Greenwich Village Historic District, ,2.3,2.43,0,4.8,1,1006150047,0,77,983478,207845,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,232.2075124,2084.443153,225402,8,0,604,603,10,2250,23.05999947,28.62000084,5.560001373,24.53077755,2.27402467,245.3077755 +604,MN,833,75,105,76,1006,2,3,10001,L024,14,15,5200,1,5,1A,1265 BROADWAY,C6-6, , , , , ,MID, , , ,N,D6,4,0, ,1265 BROADWAY LLC,7075,62612,14000,48612,7500,6500,0,0,0,0,2,1,10,70,75,63.42,130.58,59,130, ,0,Y,4,5,4770000,11650500,0,0,1904,2006,2006, , ,8.85,10,15,15,1,1008330075,0,76,987424,211839,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,374.6277652,7385.223378,6880500,6,0,605,604,33,7425,43.2480011,43.79888916,0.550888062,43.27448585,0.107974364,1428.058033 +605,MN,772,75,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,256 WEST 23 STREET,C2-7A,R8B, , , , , , , , ,Y,J9,5,0,P,POPCORN & SODA ASSETS,19256,97435,97435,0,0,0,0,0,0,97435,2,1,5,0,2,95,99,70,98, ,3,N,5,2,2601000,12442500,0,0,1900,1980,0, , ,5.06,7.52,2,7.5,1,1007720075,0,91,984783,210574,8d, ,105S009,10304, ,1007720008,12/19/1988,1, , ,17V1.1,0,647.7440979,20027.18254,9841500,2,0,606,605,92,20700,22.16600037,23.8077774,1.641777039,22.22296895,0.245287504,2044.513144 +606,MN,214,7502,101,39,4000,2,1,10013,L008,1,15,7700,3,1, ,145 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,10873,136472,63843,72629,58913,1592,691,2647,0,0,2,1,16,21,48,76,142.75,142.67,76, ,0,N,3,5,1164164,14457576,42872,483363,1929,2004,0,Tribeca West Historic District, ,12.55,6.02,6,6.5,1,1002147502,1302,39,981842,201983,12a, ,11N 039,10105, ,1002140018,8/6/2009,1, , ,17V1.1,7,446.1215057,11455.102,13293400,14,0,607,606,52,11700,14.83500004,16.7966671,1.961667061,14.97050217,0.39490226,778.4661131 +607,MN,418,32,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,100 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"100 FORSYTH, LLC",2525,9450,600,8850,0,600,0,0,0,0,2,1,5,18,20,25.25,100,25,71, ,3,N,5,2,315000,936450,0,0,1900,1989,2014, , ,3.74,4,4,4,1,1004180032,0,18,986300,200953,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,254.8125217,2544.81783,621450,13,0,608,607,11,2475,37.89666748,39.59222412,1.695556641,38.05080899,0.487438262,418.5588989 +608,MN,281,13,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,30 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0, ,YEN KEE CORP,1758,10563,10563,0,8913,0,0,0,0,1650,2,1,5,0,2,25,70.42,25,66, ,3,Y,5,2,168750,1809900,0,0,1900,1988,2007, , ,6.01,3.44,6,6.5,1,1002810013,0,8,985197,199305,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,198.2110605,1872.753935,1641150,16,0,609,608,10,2250,35.10200119,35.10200119,0,35.10200119,0,351.0200119 +609,MN,479,11,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,200 MOTT STREET,C6-1,C6-2, , , , ,LI, , , ,Y,C7,4,0,P,CHELSEA 18 PARTNERSL.,2350,12000,685,11315,0,685,0,0,0,0,2,1,7,26,27,25.17,93.67,25,84, ,3,Y,5,2,180000,1565100,0,0,1900,0,0, , ,5.11,3.44,6,6.5,1,1004790011,0,41,985533,202025,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,244.871246,2456.214361,1385100,0,0,610,609,11,2475,38.05444717,41.44889069,3.394443512,38.36303295,0.975833899,421.9933624 +610,MN,70,43,101,15.02,2005,2,1,10038,E004,1,15,7700,1,1, ,160 WATER STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,EO 160 WATER LLC,24092,481858,481858,0,460096,21762,0,0,0,0,2,1,24,0,7,112.29,232.89,103,210, ,2,Y,3,2,9360000,37907100,0,0,1972,0,0, , ,20,10,15,15,1,1000700043,0,1502,982620,196784,12b, ,101S008,10102, ,0, 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,17V1.1,0,181.9249451,1228.413715,60018,7,0,615,614,6,1350,15.84222221,16.56555557,0.723333359,15.96277777,0.269570427,95.77666664 +615,MN,293,11,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,80 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,HCKD CANAL REALTY COR,1573,7925,7925,0,4779,3146,0,0,0,0,2,1,5,0,6,62.67,25.33,63,25, ,3,Y,3,2,122400,863550,0,0,1900,0,0, , ,5.04,3.44,6,6.5,1,1002930011,0,16,986113,199834,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,184.6370922,1763.569806,741150,16,0,616,615,8,1800,41.23199844,43.09600067,1.864002228,41.88463831,0.844599182,335.0771065 +616,MN,140,5,101,21,2000,2,1,10007,E007,1,15,7700,1,1, ,147 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,D9,3,0, ,ALMARK HOLDING CO,14506,130568,5586,124982,0,5586,0,0,0,0,2,1,12,121,123,75.17,151.67,0,0, ,0,Y,4,2,2236500,19725750,0,0,1997,0,0, , ,9,7.52,6,7.5,1,1001400005,0,21,981579,200171,12a, ,101S016,10104,E-61,0, ,1, , ,17V1.1,0,555.4118611,14744.93188,17489300,14,0,617,616,66,14850,18.1439991,19.63999939,1.49600029,18.20909006,0.267281979,1201.799944 +617,MN,618,17,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,232 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C5,2,0, ,232 W 14TH LLC,2600,7405,1000,6405,0,1000,0,0,0,0,2,1,5,9,10,25,103.25,25,59, ,3,N,5,2,147170,693782,0,0,1900,2005,0, , ,2.85,6.02,6,6.5,1,1006180017,0,77,983841,208513,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,263.5629335,2599.644038,546612,8,0,618,617,11,2475,22.30444527,22.30444527,0,22.30444527,0,245.3488979 +618,MN,528,33,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,44 DOWNING STREET,R6, , , , , , , , , ,N,C6,2,0,P,44 DOWNING ST HDFC,1670,14227,0,14227,0,0,0,0,0,0,2,1,5,20,20,45,53,27.83,68, ,0,Y,5,5,90000,1083600,90000,888330,1900,0,0,Greenwich Village Historic District Exte, ,8.52,2.43,0,4.8,1,1005280033,0,67,983087,204865,12a, ,103 003,10206, ,1005280033,12/13/1994,1, , ,17V1.1,0,248.1334475,2711.124682,993600,9,0,619,618,12,2700,15.38333321,15.38333321,0,15.38333321,0,184.5999985 +619,MN,464,27,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,234 EAST 9 STREET,R8B, , , , , , , , , ,N,G9,7,0, ,VINCENT PEDONE,1192,2384,2384,0,0,0,1192,1192,0,0,2,1,2,0,2,26,56,26,55, ,2,Y,5,0,80550,270900,0,0,1900,1972,0, , ,2,4,0,4,1,1004640027,0,38,987567,205006,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,172.6008958,1276.627986,190350,12,0,620,619,5,1125,34.29000092,34.9980011,0.708000183,34.85640106,0.283200073,174.2820053 +620,MN,694,47,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,524 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,E7,6,0, ,GRAND LAFAYETTE PROPE,14318,141934,141934,0,14190,0,0,127744,0,0,2,1,10,0,1,145,98.75,145,98.75, ,2,N,5,2,1256400,6147450,0,0,1931,1986,0, , ,9.91,7.52,6,7.5,1,1006940047,0,99,982695,211790,8b, ,105S003,10301,E-92,0, ,1,1,1,17V1.1,0,487.594664,14280.50541,4891050,2,1,621,620,64,14400,6.936999798,9.598555565,2.661555767,7.085642174,0.521031004,453.4810991 +621,MN,885,10,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,109 EAST 29 STREET,C4-5A, , , , , , , , , ,N,C1,2,0, ,"SINHA DEVELOPMENT,",1975,5760,0,5760,0,0,0,0,0,0,2,1,4,7,7,20,98.75,20,55,E,3,N,5,2,152923,610689,0,0,1910,1987,0, , ,2.92,4,4,4,1,1008850010,0,72,989020,210275,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,241.9640771,2023.119671,457766,11,0,622,621,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +622,MN,449,43,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,77 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"KOZIEJ, PETER",2267,10387,2000,8387,0,2000,0,0,0,0,2,1,6,16,17,25,90.67,25,78, ,3,N,5,2,174600,982350,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.58,4,0,4,1,1004490043,0,38,988048,204304,12c, ,102 019,10205, ,0, ,1, , 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+625,MN,528,65,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,72 CARMINE STREET,R6,C2-6, , , , , , , , ,Y,C1,2,0,P,REFLUX REALTY LLC,3020,6954,0,6954,0,0,0,0,0,0,2,1,3,16,16,50.33,60,50,60,E,3,N,5,2,126450,922500,0,0,1910,0,0, , ,2.3,2.43,0,4.8,1,1005280065,0,67,982998,205051,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,219.4728681,2962.871899,796050,9,0,626,625,13,2925,15.38333321,15.38333321,0,15.38333321,0,199.9833317 +626,MN,459,37,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,25 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,COOPER SQUARE MUTUAL,2383,10625,0,10625,0,0,0,0,0,0,2,1,5,19,19,25,95.33,25,85, ,3,N,5,2,146700,1034100,146700,1034100,1920,1993,0,East Village/Lower East Side Historic Di, ,4.46,4,0,4,1,1004590037,0,38,986931,203783,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,249.7425001,2533.95667,887400,1,0,627,626,11,2475,35.86666489,35.86666489,0,35.86666489,0,394.5333138 +627,MN,913,25,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,249 EAST 32 STREET,R8B, , , , , , , , 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INC,2779,6420,0,6420,0,0,0,0,0,0,2,1,4,5,5,26.92,103.25,27,72,E,2,N,5,2,193972,531234,2360,2360,1910,1987,0,Greenwich Village Historic District, ,2.31,3.44,0,6.5,1,1005690033,0,61,985928,206627,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,264.4626204,2799.557706,337262,8,0,632,631,13,2925,34.37900162,34.75444412,0.375442505,34.45187319,0.13623277,447.8743515 +632,MN,597,7502,102,37,1012,2,3,10014,E024,1,15,6800,1,2, ,104 CHARLTON STREET,M1-6, , , , , ,HSQ, , , ,N,RM,4,0, , ,5474,34976,3046,31930,0,3046,0,0,0,0,2,1,8,14,16,48.5,124,48,70, ,0,Y,0,5,427503,4218301,2360,2360,1920,0,0, , ,6.39,0,10,10,1,1005977502,1342,37,981967,204204,12a, ,11N 065,10208, ,1005970048,2/27/2004,1, ,1,17V1.1,7,345.4101513,5444.765499,3790800,0,1,633,632,24,5400,10.99400043,10.99400043,0,10.99400043,0,263.8560104 +633,MN,456,29,103,36.02,2002,1,2,10003,L020,9,14,6500,1,3,3B,7 2 AVENUE,C6-2A,R8X, , ,C2-5, ,TA, , , ,Y,C7,4,0, ,7 SECOND AVENUE HOUSI,2477,12388,650,11738,0,650,0,0,0,0,2,1,5,12,13,25,99,25,96, 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REALTYC,2339,6073,1875,4198,0,1875,0,0,0,0,2,1,3,4,5,23.33,100.25,23,87,E,3,N,5,5,73071,266212,0,0,1900,1989,0, , ,2.6,6.02,6,6.5,1,1004700030,0,41,985325,201290,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,255.0733585,2327.42249,193141,0,0,635,634,9,2025,28.80888939,28.80888939,0,28.80888939,0,259.2800045 +635,MN,611,54,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,6 CHARLES STREET,C1-6,R6, , , , , , , , ,Y,D1,3,0, ,ELK 6 CHARLES LLC,3800,15168,0,15168,0,0,0,0,0,0,2,1,6,27,27,40,95,40,80, ,3,N,5,2,625500,2966850,0,0,1910,1985,0,Greenwich Village Historic District, ,3.99,3.44,2,6.5,1,1006110054,0,71,984046,207076,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,271.3568429,3823.453972,2341350,8,0,636,635,17,3825,19.84000015,19.84000015,0,19.84000015,0,337.2800026 +636,MN,633,28,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,131 PERRY STREET,C1-6A, , , , , , , , , ,N,D0,3,0, ,131 PERRY ST APARTMEN,4750,32000,1000,31000,0,1000,0,0,0,0,2,1,7,14,14,50,95,50,95, ,3,Y,5,2,625500,3465000,61740,61740,1905,1980,1985,Greenwich Village Historic District, ,6.74,4,2,4,1,1006330028,0,75,982139,207097,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,290.1741708,4735.56449,2839500,9,0,637,636,20,4500,15.33111095,15.33111095,0,15.33111095,0,306.6222191 +637,MN,832,41,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,286 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O6,5,0,P,286 FIFTH REALTY CORP,4258,44380,44380,0,40680,3700,0,0,0,0,2,1,12,0,13,34.25,125,34,125,E,2,Y,5,2,1188000,5604750,0,0,1910,1989,0, , ,10.42,10,10,10,1,1008320041,0,76,987962,211166,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,321.390441,4341.575015,4416750,10,0,638,637,19,4275,41.02666855,41.02666855,0,41.02666855,0,779.5067024 +638,MN,775,9,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,245 WEST 25 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,245 PARTNERS LLC,14815,39698,0,39698,0,0,0,0,0,0,2,1,6,67,67,151.25,98.75,151,83, ,3,N,5,2,290250,5520150,0,0,1938,2015,2015, , ,2.68,6,0,6,1,1007750009,0,91,985244,211190,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,506.2079512,15376.28388,5229900,2,0,639,638,69,15525,26.32299995,32.07333374,5.750333786,26.8214895,1.058251833,1850.682776 +639,MN,310,29,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,33 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,KO HIN CORP.,2246,10566,1800,8766,0,1800,0,0,0,0,2,1,6,10,11,25.67,87.5,26,87, ,3,N,5,2,153000,570150,0,0,1900,1988,0, , ,4.7,6.02,6,6.5,1,1003100029,0,16,987073,200152,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,228.8408924,2200.283759,417150,13,0,640,639,11,2475,34.98799896,35.6602211,0.672222137,35.04911007,0.193250277,385.5402107 +640,MN,830,79,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,830 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,PAUL SIN HAN KIM,1477,5600,5600,0,2800,2800,0,0,0,0,2,2,4,0,4,19.67,75,19,69, ,3,N,5,2,292500,721800,0,0,1920,0,0, , ,3.79,10,10,10,1,1008300079,0,76,987046,211207,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,195.2020247,1596.506149,429300,6,0,641,640,7,1575,44.45100021,44.46977615,0.01877594,44.45368249,0.00657021,311.1757774 +641,MN,584,37,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,63 BEDFORD STREET,C2-6,R6, , , , , , , , ,Y,C7,4,0, ,"BEDFORD STREET, LLC",1000,5000,1000,4000,0,1000,0,0,0,0,2,1,5,8,9,20,50,20,50, ,3,N,3,2,131520,361128,0,183375,1900,1983,2003,Greenwich Village Historic District, ,5,3.44,2,6.5,1,1005840037,0,67,982915,205611,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,144.9724197,1088.420087,229608,9,0,642,641,5,1125,16.16111183,16.73222351,0.571111679,16.27533417,0.228444672,81.37667084 +642,MN,830,69,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1A,36 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0,P,KEW MGMT CORP,6419,23531,23531,0,17531,6000,0,0,0,0,2,1,4,0,16,65,98.75,63,96,E,2,N,5,2,1111500,3133350,0,0,1915,0,0, , ,3.67,0,10,10,1,1008300069,0,76,987199,211106,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,332.5933066,6571.188845,2021850,6,0,643,642,29,6525,44.45100021,45.46222305,1.011222839,44.5257742,0.232062299,1291.247452 +643,MN,808,40,105,101,1008,2,3,10001,L024,14,15,5200,1,5, ,100 WEST 33 STREET,C6-6, , , , , ,MID, , , ,N,O6,5,1,P,VNO 100 WEST 33RD STR,79002,1105991,1105991,0,780908,156078,0,37100,0,131905,2,1,12,0,82,400,197.5,400,197, ,3,N,3,2,35370000,193260600,0,5315760,1911,2001,2016, , ,14,10,15,15,1,1008080040,0,101,987225,212212,8d, ,105S024,10305,R-194,0, ,1, , ,17V1.1,0,1228.374779,83830.79159,157891008,6,0,644,643,374,84150,38.11700058,44.54111099,6.424110413,41.31592839,0.584683675,15452.15722 +644,MN,206,28,102,41,5004,2,1,10013,L006,5,15,6800,1,2, ,207 CANAL STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0, ,207 CANAL STREET REAL,1505,6000,3000,3000,1500,1500,0,0,0,0,2,1,4.5,2,6,26.33,64,26,64,E,3,Y,5,2,241650,852750,0,0,1915,0,0, , ,3.99,6.02,6,6.5,1,1002060028,0,41,984602,200657,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,178.1449539,1622.588039,611100,14,0,645,644,8,1800,25.95999908,33.6855545,7.72555542,27.25611019,2.579539353,218.0488815 +645,MN,590,47,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,31 CORNELIA STREET,R6, , , , , , , , , ,N,C7,4,0, ,31 CORNELIA PROPERTIE,2056,4878,1206,3672,0,1206,0,0,0,0,2,2,4,14,15,21.08,97.5,21,60, ,3,N,5,5,213750,1125000,0,0,1900,1986,2014,Greenwich Village Historic District Exte, ,2.37,2.43,0,4.8,1,1005900047,0,67,983530,205768,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,240.0102339,2079.066359,911250,9,0,646,645,10,2250,17.54000092,17.54000092,0,17.54000092,0,175.4000092 +646,MN,644,48,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,14 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K1,5,0, ,LITTLE WEST 12TH STRE,4181,2970,2970,0,0,2970,0,0,0,0,2,1,1,0,1,54,77.42,54,55, ,3,N,5,0,162000,2752200,0,0,1920,0,0,Gansevoort Market Historic District, ,0.71,0,5,6.5,1,1006440048,0,79,982286,208778,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,266.9133196,4300.682381,2590200,8,0,647,646,19,4275,13.47799969,13.47799969,0,13.47799969,0,256.0819941 +647,MN,606,84,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,7 PATCHIN PLACE,R6, , , , , , , , , ,N,C2,2,0, ,"PATCHIN PLACE, LLC",1200,3675,0,3675,0,0,0,0,0,0,2,1,3,5,5,20,60,20,39, ,3,Y,6,5,133063,223961,0,0,1915,0,0,Greenwich Village Historic District, ,3.06,2.43,0,4.8,1,1006060084,0,71,984466,207122,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,164.1977953,1246.601298,90898,8,0,648,647,6,1350,20.06222153,21.45444489,1.392223358,20.29425875,0.518851011,121.7655525 +648,MN,744,48,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,312 WEST 21 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,SOLAN HOLDING CORP,2300,8930,0,8930,0,0,0,0,0,0,2,1,5,10,10,25,92,25,74, ,3,N,5,2,69114,414248,0,0,1900,1989,0, , ,3.88,3,0,3,1,1007440048,0,89,984143,210402,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,240.9007646,2343.711501,345134,7,0,649,648,12,2700,15.84222221,20.68111038,4.838888168,16.38398139,1.374038584,196.6077766 +649,MN,897,40,106,48,7001,2,2,10003,E005,13,14,5900,1,6,1A,297 2 AVENUE,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,85575,1170,1170,0,0,1170,0,0,0,0,2,1,1,0,1,450,200,30,39, ,0,N,1,5,6975000,8349300,6975000,8349300,1940,0,0,Stuyvesant Square Historic District, ,0.01,0,0,0,1,1008970040,0,48,988564,206631,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,1282.311275,87251.9554,1374300,5,0,650,649,388,87300,23.5466671,29.81999969,6.273332596,27.33915468,1.15287666,10607.59202 +650,MN,630,4,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,655 WASHINGTON STREET,R6, , , , , , , , , ,N,S1,4,0, ,STEPHEN FRIEDMAN,1062,3264,816,2448,0,816,0,0,0,0,2,1,4,1,2,17.5,60,17.5,42,E,3,Y,5,5,40669,104446,1550,1550,1899,0,0,Greenwich Village Historic District Exte, ,3.07,2.43,0,4.8,1,1006300004,0,75,981933,206330,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,166.4206537,1210.84653,63777,9,0,651,650,7,1575,15.90333366,15.90333366,0,15.90333366,0,111.3233356 +651,MN,464,55,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,9 ST MARKS PLACE,R8B, , , , , , , , , ,N,S4,4,0, ,9 ST MARKS PL INC,3616,9544,3616,5928,0,3616,0,0,0,0,2,1,4,4,5,32,112.83,32,102, ,3,Y,5,5,60661,429131,0,0,1900,2009,0, , ,2.64,4,0,4,1,1004640055,0,38,987272,205039,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,298.1310278,3820.063025,368470,12,0,652,651,18,4050,34.9980011,36.69777679,1.699775696,35.18227217,0.388796222,633.280899 +652,MN,401,30,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,540 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,ARNAV INDUSTRIES INCE,2523,11592,0,11592,0,0,0,0,0,0,2,1,6,13,13,23,97,23,84, ,2,Y,5,1,166500,1100250,0,0,1920,1983,0, , ,4.59,3,0,3,1,1004010030,0,32,989177,203228,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,247.220655,2491.049186,933750,1,0,653,652,10,2250,14.20666695,14.4244442,0.217777252,14.22844467,0.065333176,142.2844467 +653,MN,518,1,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,38 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,HOLLIS SCHENCK,2236,8436,1350,7086,0,1350,0,0,0,0,2,1,5,12,13,43,75,43,57, ,3,Y,5,2,140400,1872900,0,0,1900,2004,2012,Sullivan-Thompson Historic District, ,3.77,3.44,0,6.5,1,1005180001,0,49,983492,204161,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,253.9222599,2508.558743,1732500,9,0,654,653,12,2700,20.52111053,24.21555519,3.694444656,21.06120316,1.221816715,252.7344379 +654,MN,903,13,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,217 EAST 22 STREET,R8A, , , , , , , , , ,N,D2,3,0, ,217 EAST 22ND ST. ASS,4219,17526,0,17526,0,0,0,0,0,0,2,1,6,35,35,56.25,75,56,64, ,2,N,5,2,393750,2593350,0,0,1920,1985,0, , ,4.15,6,0,6,1,1009030013,0,64,989086,208120,8d,Y,104 007,10308, ,0, ,1, , ,17V1.1,0,266.870968,4370.978127,2199600,11,0,655,654,20,4500,19.86555672,19.86555672,0,19.86555672,0,397.3111343 +655,MN,203,24,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,76 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,CANBOW REALTY CORP,2500,7000,7000,0,4500,2500,0,0,0,0,2,1,4,0,4,24.92,100,25,100,E,3,N,5,2,197100,580950,0,0,1915,0,0, , ,2.8,3.44,6,6.5,1,1002030024,0,41,985336,200450,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,257.9753843,2594.940503,383850,0,0,656,655,12,2700,40.21222305,40.21222305,0,40.21222305,0,482.5466766 +656,MN,460,36,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,81 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,81 2 AVE CORP,1600,4200,1300,2900,0,1300,0,0,0,0,2,1,5,3,5,20,80,20,42,E,0,N,5,5,126259,187817,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,2.63,4,0,4,1,1004600036,0,38,987187,204039,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,210.4305599,1720.767603,61558,1,0,657,656,8,1800,35.65444565,35.65444565,0,35.65444565,0,285.2355652 +657,MN,614,16,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,32 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,32 BANK STREET LIMITE,1814,3570,0,3570,0,0,0,0,0,0,2,1,3,5,5,19.5,93,20,48,E,3,Y,5,5,217435,364904,0,0,1915,0,0,Greenwich Village Historic District, ,1.97,2.43,0,4.8,1,1006140016,0,77,983486,207706,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,234.1777203,1935.103109,147469,8,0,658,657,8,1800,26.80333328,30.32999992,3.526666641,27.5062499,1.268889923,220.0499992 +658,MN,209,26,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,257 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,K/K ASSOCIATES,4026,7558,7558,0,3558,4000,0,0,0,0,2,1,2,0,6,51.75,85.08,52,85, ,3,Y,5,2,544500,1863450,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,1.88,0,5,6.5,1,1002090026,0,45,984066,201172,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,288.9034268,4225.595431,1318950,0,0,659,658,19,4275,11.84555531,11.84555531,0,11.84555531,0,225.0655508 +659,MN,420,46,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,152 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,152 FORSYTH ST HOUSIN,2510,12000,0,12000,0,0,0,0,0,0,2,1,5,20,22,25,100.42,25,78, ,1,N,5,1,225000,498600,225000,293480,1915,0,0, , ,4.78,4,4,4,1,1004200046,0,18,986615,201759,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,256.991105,2550.565665,273600,13,0,660,659,12,2700,41.86222458,42.23899841,0.376773834,42.17620277,0.140415318,506.1144333 +660,MN,584,32,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,73 BEDFORD STREET,R6, , , , , , , , , ,N,C0,2,0, ,SPRAGUE MICHAEL J,1680,2835,0,2835,0,0,0,0,0,0,2,1,3,3,3,21,80,21,45, ,3,N,5,2,37071,157593,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.69,2.43,0,4.8,1,1005840032,0,67,982860,205698,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,206.4109452,1726.048838,120522,9,0,661,660,8,1800,16.16111183,18.29000092,2.128889084,16.87583375,0.928508147,135.00667 +661,MN,695,7505,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,519 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,R4,3,0, , ,2469,18732,0,18732,0,0,0,0,0,0,2,1,12,11,11,25,98.75,25,80,E,3,N,5,5,270000,2505149,0,473396,2005,0,0, , ,7.59,7.52,6,7.5,1,1006957505,1752,99,982933,211882,8b, ,105S003,10301, ,1006950026,12/20/2007,1, ,1,17V1.1,7,253.7997844,2547.480639,2235150,2,1,662,661,12,2700,8.416999817,8.416999817,0,8.416999817,0,101.0039978 +662,MN,386,56,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,229 EAST 3 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,DIVERSITY HOUSES HOUS,4424,19100,0,19100,0,0,0,0,0,0,2,1,7,12,12,46,96.17,46,80, ,3,N,5,0,193500,894600,164475,760410,2005,2005,0, , ,4.32,4,0,4,1,1003860056,0,2601,989300,202470,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,287.1912113,4390.781177,701100,1,0,663,662,20,4500,14.43666649,14.75144482,0.314778328,14.45240541,0.068604346,289.0481081 +663,MN,569,3,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,45 5 AVENUE,R10,R7-2, , , , , , , , ,Y,D4,3,0, ,"NAJAFI, ARASH",4927,45248,0,45248,0,0,0,0,0,0,2,1,16,65,65,47.83,100,48,80, ,3,Y,5,2,589500,4238550,37981,37981,1925,1984,0,Greenwich Village Historic District, ,9.18,10,0,10,1,1005690003,0,61,985758,206751,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,368.6126654,5274.198968,3649050,8,0,664,663,24,5400,31.75222206,33.19333267,1.441110611,31.85981464,0.35946181,764.6355515 +664,MN,507,26,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,276 BOWERY,C6-1, , , , , ,LI, , , ,N,L8,6,0,P,BOWERY 87 LLC,3325,10779,10779,0,0,2800,0,0,0,7979,2,1,4,3,4,37.5,88.67,38,76,E,3,N,5,2,157500,924300,0,0,1900,1986,0, , ,3.24,3.44,6,6.5,1,1005070026,0,43,986160,202983,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,264.6258455,3479.568671,766800,9,0,665,664,16,3600,44.71333313,44.71333313,0,44.71333313,0,715.4133301 +665,MN,152,25,101,33,1007,2,1,10007,L001,1,15,7700,1,1,3A,325 BROADWAY,C6-4A, , , , , , , , , ,N,O5,5,0, ,325 BROADWAY ASSOCIAT,10665,50000,50000,0,40000,10000,0,0,0,0,2,1,5,0,33,102.25,104.83,102,104, ,2,Y,3,2,1219500,6587100,0,0,1900,0,0, ,325-333 BROADWAY BUILDING,4.69,10,10,10,1,1001520025,0,33,982872,200218,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,433.2926547,11719.36646,5367600,14,0,666,665,52,11700,30.71888924,36.2266655,5.50777626,31.10309428,1.202270269,1617.360903 +666,MN,886,17,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,125 EAST 30 STREET,C4-5A, , , , , , , , , ,N,C5,2,0, ,125 EAST 30TH STREET,1901,5057,0,5057,0,0,0,0,0,0,2,1,4,10,10,19.25,98.75,19,55, ,3,N,5,1,135490,522995,0,0,1930,0,0, , ,2.66,4,4,4,1,1008860017,0,72,989230,210452,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,248.3430897,2038.895711,387505,10,0,667,666,8,1800,33.23199844,34.73244476,1.50044632,33.41955423,0.496225977,267.3564339 +667,MN,692,41,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,510 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,E7,6,0,P,WEST 21ST STREET PROP,13800,124385,124385,0,0,1380,0,123005,0,0,2,1,8,0,2,150,92,150,92, ,3,N,5,2,1215000,5086800,0,0,1928,1988,0, , ,9.01,0,5,6.5,1,1006920041,0,99,982558,211278,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,486.7491516,13920.89603,3871800,7,1,668,667,61,13725,6.980222225,8.291999817,1.311777592,8.227821319,0.254872419,501.8971004 +668,MN,610,72,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,25 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C2,2,0, ,M & L REALTY INC.,1423,2589,0,2589,0,0,0,0,0,0,2,1,3,5,5,20,71.17,18,40, ,3,N,5,5,111721,187664,0,0,1900,0,0,Greenwich Village Historic District, ,1.82,2.43,0,4.8,1,1006100072,0,71,983992,206711,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,186.3923442,1481.811527,75943,8,0,669,668,7,1575,18.18777847,20.28555489,2.097776413,18.73714338,0.873644337,131.1600037 +669,MN,418,34,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,104 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,BP FORSYTH INVESTORS,2500,9875,1500,8375,0,1500,0,0,0,0,2,1,5,20,22,25,100,25,89, ,3,N,5,2,112500,1300950,0,0,1900,0,0, , ,3.95,4,4,4,1,1004180034,0,18,986318,201000,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,255.2063965,2564.872465,1188450,13,0,670,669,11,2475,37.89666748,39.34777832,1.45111084,38.02858665,0.417165036,418.3144531 +670,MN,16,205,101,317.03,2000,2,1,10282,L010,1,15,8900,1,1,1A,455 NORTH END AVENUE,BPC, , , , , ,BPC, , , ,N,D8,3,0,O,BROOKDALE DEVELOPMENT,19600,239185,0,239185,0,0,0,0,0,0,2,1,14,218,218,196,100,0,0, ,0,Y,0,5,3600000,52716150,3600000,52716150,1998,0,0, , ,12.2,0,0,0,1,1000160205,0,31703,980218,200689,12a, ,101S093,10101, ,1000160205,5/22/1995,1, , ,17V1.1,0,612.8635057,21094.86425,49116200,14,0,671,670,92,20700,14.96500015,16.61666679,1.651666641,15.10818852,0.369189897,1389.953343 +671,MN,530,58,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,20 BOND STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,20 BOND OWNERS CORP,2587,15979,0,15979,0,0,0,0,0,0,2,1,7,7,7,25.67,100,26,100, ,2,N,3,2,64457,702055,2360,2360,1925,2009,0,NoHo Historic District Extension, ,6.18,0,5,6.5,1,1005300058,0,5502,985967,204051,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,262.1822749,2898.57038,637598,9,0,672,671,13,2925,42.83444595,44.20888901,1.374443054,43.28787965,0.351576281,562.7424355 +672,MN,509,31,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,283 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0,P,R F S C INC,1828,6124,0,6124,0,0,0,0,0,0,2,1,4,10,10,20,91.42,20,81,E,3,Y,5,1,23057,138045,0,0,1910,0,0, , ,3.35,6.02,6,6.5,1,1005090031,0,43,985726,203109,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,229.7343888,1864.136707,114988,9,0,673,672,8,1800,42.24222183,42.24222183,0,42.24222183,0,337.9377747 +673,MN,460,32,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,242 EAST 5 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,MARY C EVANS,1600,3486,0,2583,0,0,0,0,0,0,2,1,3,3,3,20,80.83,20,42, ,3,Y,5,1,23214,76692,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,2.18,4,0,4,1,1004600032,0,38,987129,204085,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,206.0339865,1689.287544,53478,1,0,674,673,7,1575,35.65444565,35.65444565,0,35.65444565,0,249.5811195 +674,MN,962,50,106,62,2000,2,4,10016,E016,17,14,6000,1,6, ,500 EAST 30 STREET,M2-3, , , , , , , , , ,N,K5,5,0,C,NYC DSBS,63350,16000,16000,0,0,16000,0,0,0,0,2,1,1,0,1,1104.83,84,170,22, ,0,Y,5,5,1948500,5807250,1948500,5807250,1982,0,0, , ,0.25,0,2,0,1,1009620050,0,62,0,0,8d, ,104 025,10310, ,0, ,1,1,1,17V1.1,0,2036.841715,27549.13191,3858750,12,1,675,674,122,27450,0,8.831110954,8.831110954,4.066140936,2.782249545,496.0691942 +675,MN,608,32,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,114 WEST 13 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"SIEGEL, HOWARD J.",2150,3058,0,3058,0,0,0,0,0,0,2,1,3,4,4,20.83,103.25,21,53,E,3,N,5,5,241861,368953,0,0,1910,1986,2003,Greenwich Village Historic District, ,1.42,2.43,0,4.8,1,1006080032,0,71,984719,207722,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,257.7623473,2329.563858,127092,8,0,676,675,9,2025,24.04400063,28.27000046,4.225999832,24.51355616,1.328103617,220.6220055 +676,MN,449,51,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,61 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"ZIMMERMAN ASSOCIATES,",2438,9405,0,9405,0,0,0,0,0,0,2,1,5,20,20,25,97.5,25,86, ,3,N,5,2,188550,931500,0,0,1900,1988,0,East Village/Lower East Side Historic Di, ,3.86,4,0,4,1,1004490051,0,38,987875,204404,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.8902198,2583.613065,742950,12,0,677,676,12,2700,25.48777771,28.79111099,3.303333282,25.76305548,0.912993088,309.1566658 +677,MN,844,11,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,15 EAST 16 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,15 EAST 16TH STREET O,4600,49520,6000,43520,2000,4000,0,0,0,0,2,1,12,10,11,50,92,50,92,E,3,N,5,2,828000,7716600,4720,4720,1908,1986,0,Ladies' Mile Historic District, ,10.77,6.02,6,6.5,1,1008440011,0,52,986620,207805,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,297.8334718,4956.055209,6888600,7,0,678,677,22,4950,41.19499969,41.19499969,0,41.19499969,0,906.2899933 +678,MN,615,85,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,243 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,243 W 12TH STREET LLC,1364,3720,0,2762,0,0,0,0,0,0,2,1,3,1,1,22,62,22,40,E,3,N,5,1,37070,147639,0,0,1899,0,0,Greenwich Village Historic District, ,2.73,2.43,0,4.8,1,1006150085,0,77,983567,208080,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,175.2298185,1440.13296,110569,8,0,679,678,7,1575,21.74111176,26.05111122,4.309999466,24.14634923,2.085175816,169.0244446 +679,MN,444,30,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,82 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,J J MONTANA ENTERPRIS,2512,10500,500,10000,0,500,0,0,0,0,2,1,5,22,23,25,100.5,25,70, ,3,N,5,1,157050,358650,0,0,1910,1988,0, , ,4.18,4,0,4,1,1004440030,0,3602,987468,203308,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,261.1968633,2679.213357,201600,1,0,680,679,12,2700,30.95777702,34.64777756,3.690000534,31.98592536,1.484409154,383.8311043 +680,MN,205,11,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,120 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0,P,"120 MULBERRY STREET,",2508,6446,2000,4446,0,2000,0,0,0,0,2,1,5,8,9,25,100.33,25,50, ,3,N,5,2,53985,159283,0,0,1910,1985,0, , ,2.57,6.02,6,6.5,1,1002050011,0,41,984831,200765,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,256.6027186,2621.600723,105298,0,0,681,680,12,2700,31.4109993,35.55555344,4.144554138,32.94252745,1.841188687,395.3103294 +681,MN,539,22,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,231 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,TSA REALTY,1852,8640,1350,7290,0,1350,0,0,0,0,2,1,6,22,24,24.08,75,24,64, ,3,N,5,2,322200,1708650,0,0,1900,0,0,South Village Historic District, ,4.67,3.44,0,6.5,1,1005390022,0,65,984521,205056,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,209.3644279,2072.801912,1386450,9,0,682,681,8,1800,25.23555565,25.23555565,0,25.23555565,0,201.8844452 +682,MN,606,17,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,44 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,K4,4,0, ,PORT REALTY,2105,3840,3840,0,1920,1920,0,0,0,0,2,1,3,0,4,22.67,100,22.67,52,E,2,Y,5,1,280800,761400,0,0,1920,0,0,Greenwich Village Historic District, ,1.82,3.44,2,6.5,1,1006060017,0,71,984198,207265,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,242.4655936,2203.385018,480600,8,0,683,682,9,2025,22.88899994,22.88899994,0,22.88899994,0,206.0009995 +683,MN,583,17,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,54 MORTON STREET,R6, , , , , , , , , ,N,C5,2,0, ,"ISALY LICEAGA, CHRIST",2500,7650,575,7075,0,0,0,0,0,575,2,1,5,8,8,25,100,25,56,E,3,N,5,2,103711,456659,0,0,1900,2014,2007,Greenwich Village Historic District, ,3.06,2.43,0,4.8,1,1005830017,0,67,982658,205463,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,254.4943952,2724.713288,352948,9,0,684,683,12,2700,15.38333321,19.27555656,3.892223358,16.26916663,1.36204346,195.2299995 +684,MN,620,78,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,203 WEST 10 STREET,R6, , , , , , , , , ,N,D1,3,0, ,205 OWNERS LLC,3600,15084,0,15084,0,0,0,0,0,0,2,1,6,30,30,37.5,96,37,83, ,3,N,5,2,450000,2609550,0,0,1920,1988,0,Greenwich Village Historic District, ,4.19,2.43,0,4.8,1,1006200078,0,73,983147,206801,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,267.4164812,3563.042758,2159550,9,0,685,684,17,3825,24.70777702,24.70777702,0,24.70777702,0,420.0322094 +685,MN,348,11,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,118 SUFFOLK STREET,R7A, , , , , , , , , ,N,C6,2,0, ,118 SUFFOLK CORP,1800,7200,0,7200,0,0,0,0,0,0,2,1,5,13,13,24,75,24,59, 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PROPERTY CO.,5668,34186,0,0,0,0,0,0,0,0,2,1,8,0,2,54.5,104,54.5,93, ,3,N,5,1,1678500,4883400,0,0,1915,0,0,Stuyvesant Square Historic District, ,6.03,3,0,3,1,1008980016,0,48,988534,207032,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,327.2505608,5981.302876,3204900,5,0,688,687,27,6075,22.7840004,26.62000084,3.836000443,23.26962174,1.171111618,628.2797871 +688,MN,552,52,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,112 WAVERLY PLACE,R7-2, , , , , , , , , ,N,C1,2,0, ,ZYM @ 112 LLC,2144,3822,0,3822,0,0,0,0,0,0,2,2,4,7,7,22,97.17,22,42, ,0,N,5,5,73969,276463,0,0,1900,0,0,Greenwich Village Historic District, ,1.78,3.44,0,6.5,1,1005520052,0,65,984431,206079,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,247.4400823,2285.313265,202494,9,0,689,688,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +689,MN,607,60,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,129 WEST 11 STREET,R6, , , , , , , , , ,N,A9,1,0, ,"HAVENHOME, LLC",2302,4502,0,3242,0,0,0,0,0,0,2,1,3,1,1,22.33,103.25,22,56, ,3,N,5,1,76924,341252,0,0,1910,1996,2012,Greenwich Village Historic District, ,1.96,2.43,0,4.8,1,1006070060,0,71,984424,207461,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,252.5723475,2337.345749,264328,8,0,690,689,10,2250,21.80333328,23.87999916,2.076665878,22.56055527,0.908192365,225.6055527 +690,MN,385,53,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,234 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,BRIDGE 202 APARTMENTS,2542,9062,0,9062,0,0,0,0,0,0,2,1,5,15,15,24,105.92,24,75, ,0,N,5,5,101250,736200,101250,736200,1900,0,0, , ,3.56,4,0,4,1,1003850053,0,2202,989213,202214,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,265.3829471,2616.640693,634950,1,0,691,690,12,2700,16.86222267,18.35555649,1.493333817,17.28907426,0.563857547,207.4688911 +691,MN,615,45,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,19 BANK STREET,R6, , , , , , , , , ,N,C5,2,0, ,19 BANK STREET LLC,1965,3385,0,3385,0,0,0,0,0,0,2,1,4,6,6,21.83,90,22,54,E,3,N,5,5,146531,437882,0,0,1910,1986,0,Greenwich Village Historic District, ,1.72,2.43,0,4.8,1,1006150045,0,77,983521,207854,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,230.8203495,2019.346681,291351,8,0,692,691,10,2250,23.05999947,29.13999939,6.079999924,24.19666615,2.079613763,241.9666615 +692,MN,583,55,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,6 ST LUKES PLACE,R6, , , , , , , , , ,N,C0,2,0, ,MARDEN HELEN,2167,4032,0,2898,0,0,0,0,0,0,2,1,2,3,3,21.67,100,21.67,42,E,3,N,5,1,55938,165888,0,0,1901,0,0,Greenwich Village Historic District, ,1.86,2.43,0,4.8,1,1005830055,0,67,982538,205376,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,249.8564512,2110.180634,109950,9,0,693,692,10,2250,15.38333321,18.25444412,2.871110916,16.60008907,1.129818291,166.0008907 +693,MN,907,16,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,225 EAST 26 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,"225 EAST 26TH STREET,",12343,54252,6150,48102,0,0,6150,0,0,0,2,1,7,89,90,125,98.75,125,91,G,3,N,5,2,976500,4595400,0,0,1963,0,0, , ,4.4,4,0,4,1,1009070016,0,66,989711,209010,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,452.447276,12647.56632,3618900,11,0,694,693,56,12600,34.39699936,35.88000107,1.483001709,35.09452793,0.230094482,1965.293564 +694,MN,527,13,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,26 DOWNING STREET,R6, , , , , , , , , ,N,A4,1,0, ,MF DOWNING STREET 26,1831,4650,0,4650,0,0,0,0,0,0,2,1,5,1,1,24.42,75,23,35, ,0,N,5,2,55891,253000,0,0,2009,0,0,Greenwich Village Historic District Exte, ,2.54,2.43,0,4.8,1,1005270013,0,67,983357,204985,12a, ,103 006,10206, ,1005270013,5/20/2008,1, , ,17V1.1,0,200.6208509,1805.069494,197109,9,0,695,694,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +695,MN,376,41,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,745 EAST 6 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,C4,2,0,P,745 HOMESTEADERS HOUS,4542,18254,0,18254,0,0,0,0,0,0,2,1,6,28,28,50,90.83,50,79.83, ,0,N,5,5,225000,1585800,0,1218105,1900,1995,0, , ,4.02,4,0,4,1,1003760041,0,2602,990551,202642,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,286.3883514,4663.353258,1360800,12,1,696,695,20,4500,7.864444256,8.130000114,0.265555859,7.901110935,0.076549876,158.0222187 +696,MN,181,20,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,173 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,JACK WEISBERG,2200,5920,3760,2160,0,3760,0,0,0,0,2,1,4,0,1,24.92,88.92,24.75,55,E,0,Y,5,5,161100,742050,0,0,1900,1999,0,Tribeca West Historic District, ,2.69,6.02,6,6.5,1,1001810020,0,39,981673,201281,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,227.2111587,2286.964621,580950,14,0,697,696,11,2475,18.25200081,18.25200081,0,18.25200081,0,200.7720089 +697,MN,607,48,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,105 WEST 11 STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,KEITH MCNALLY,1929,3036,0,3036,0,0,0,0,0,0,2,1,3,4,4,21,103.25,21,52, ,3,Y,5,5,198388,333624,0,0,1910,1985,0,Greenwich Village Historic District, ,1.57,3.44,2,6.5,1,1006070048,0,71,984659,207324,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,248.2374987,1864.42414,135236,8,0,698,697,8,1800,21.80333328,21.80333328,0,21.80333328,0,174.4266663 +698,MN,629,43,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,303 WEST 13 STREET,C1-6, , , , , , , , , ,N,O2,5,0, ,STURJO LLC,792,2343,2343,0,2343,0,0,0,0,0,2,1,3,0,4,29.75,25.83,29.75,25.83, ,0,Y,5,5,90000,323550,0,0,1901,0,0,Greenwich Village Historic District, ,2.96,3.44,2,6.5,1,1006290043,0,77,983314,208639,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,118.0297129,831.7915105,233550,8,0,699,698,3,675,16.45777702,16.45777702,0,16.45777702,0,49.37333107 +699,MN,610,51,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,132 WEST 10 STREET,C1-6,R6, , , , , , , , ,Y,Y1,8,0,C,FIRE DEPARTMENT,2200,5020,5020,0,0,0,5020,0,0,0,2,1,3,0,1,25,97.58,25,90, ,0,Y,5,5,309600,459000,309600,459000,1920,0,0,Greenwich Village Historic District, ,2.28,3.44,2,6.5,1,1006100051,0,71,984151,206850,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,250.51467,2552.69407,149400,8,0,700,699,12,2700,18.18777847,19.98466682,1.796888351,18.33751917,0.496633704,220.05023 +700,MN,415,70,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,133 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,133 ORCHARD REALTY CO,1440,9667,1440,8227,0,1440,0,0,0,0,2,1,5,16,17,25,87.67,25,87,E,3,N,4,2,180000,1638000,0,0,1910,0,0, , ,6.71,4,4,4,1,1004150070,0,18,987127,201528,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,235.4677066,2375.146853,1458000,13,0,701,700,10,2250,37.46022034,38.24955368,0.789333344,37.54377708,0.235265175,375.4377708 +701,MN,476,85,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,44 GRAND STREET,M1-5A,M1-5B, , , , , , , , ,Y,C7,4,0, ,42 GRAND LLC,2506,10150,2300,7850,0,2300,0,0,0,0,2,2,5,16,17,37.83,66,38,60, ,3,N,5,2,130050,630450,0,0,1900,1985,0, , ,4.05,0,5,6.5,1,1004760085,0,47,983131,202576,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,212.3776736,2652.457403,500400,0,1,702,701,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +702,MN,146,15,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,146 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0, ,146 DUANE ST CORP,4753,21000,3500,17500,0,0,0,0,0,3500,2,1,5,12,14,40.8,116.5,40.8,109, ,3,N,5,2,1237500,3631050,0,0,1920,2007,0,Tribeca South Historic District, ,4.42,6.02,6,6.5,1,1001460015,0,33,982002,200198,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,323.9777867,4963.288403,2393550,14,0,703,702,22,4950,16.87777901,19.55333328,2.675554276,16.99939511,0.557315,373.9866924 +703,MN,294,7502,103,16,5005,2,1,10002,E015,7,14,7400,2,3, ,2 ALLEN STREET,C6-2G, , , , , , , , , ,N,RC,5,0, , ,5208,27517,27517,0,23168,4349,0,0,0,0,2,1,7,0,71,61.75,74,62,74, ,0,Y,0,5,585008,4939205,69127,590605,2011,0,0, , ,5.28,6.02,6,6.5,1,1002947502,2202,16,986387,199614,12d, ,11N 051,10107, ,1002940011,3/23/2012,1, , ,17V1.1,7,306.5348508,5647.71568,4354200,16,0,704,703,24,5400,39.43111038,40.82555771,1.394447327,39.49406417,0.278607112,947.8575401 +704,MN,397,7,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,20 AVENUE A,R7A,R8B, , ,C2-5, , , , , ,Y,D7,4,0, ,ELIZABETH ASSETS LLC,9135,48275,6000,42275,0,6000,0,0,0,0,2,2,5,63,64,105.92,86.92,106,73, ,0,N,3,2,720000,4701150,0,0,1920,1985,0, , ,5.28,4,0,4,1,1003970007,0,3002,988229,202573,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,396.3611256,9717.354289,3981150,1,0,705,704,42,9450,19.55999947,26.69111061,7.131111145,21.62106046,2.793014941,908.0845394 +705,MN,162,16,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,30 MOTT STREET,C6-1, , , , , , , , , ,N,S5,4,0,P,"BELTTECH AT MOTT,",2302,5721,1725,3996,0,1725,0,0,0,0,2,1,3,6,7,24,96.25,24,90, ,3,Y,5,2,44395,305836,0,0,1910,1966,0, , ,2.49,3.44,6,6.5,1,1001620016,0,29,984645,199662,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,242.8182153,2336.916042,261441,14,0,706,705,11,2475,30.90500069,30.90500069,0,30.90500069,0,339.9550076 +706,MN,404,53,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,305 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,TONY JONES,2795,5556,0,5556,0,0,0,0,0,0,2,1,4,5,5,25,114.5,25,70, ,3,Y,5,5,21592,135098,0,0,1900,0,0,East 10th Street Historic District, ,1.99,4,0,4,1,1004040053,0,34,989390,204428,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,283.9932549,2936.699648,113506,12,0,707,706,13,2925,12.53199959,16.12444496,3.592445374,13.94013662,1.547527198,181.221776 +707,MN,935,59,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,540 2 AVENUE,C1-8, , , , , , , , , ,N,S9,4,0, ,SRP MANAGEMENT LLC,1515,4545,2000,2545,1000,1000,0,0,0,0,2,1,3,4,6,20,75.75,19,75, ,2,N,3,5,174315,615887,0,0,1910,0,0, , ,3,7.52,2,10,1,1009350059,0,70,990481,209626,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,190.9649694,1500.110158,441572,10,0,708,707,6,1350,32.43500137,35.75222397,3.317222595,32.98787181,1.23625587,197.9272308 +708,MN,625,30,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,48 JANE STREET,C1-6, , , , , , , , , ,N,C0,2,0, ,"DESARIO, RACHEL",1800,3520,0,2640,0,0,0,0,0,0,2,1,2,3,3,22.5,80,22.5,40,E,3,N,5,1,40417,181089,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.96,3.44,2,6.5,1,1006250030,0,77,982876,208136,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,209.6185811,1864.728941,140672,8,0,709,708,7,1575,17.76333427,17.76333427,0,17.76333427,0,124.3433399 +709,MN,402,53,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,525 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,525 E 6 ST/HSNG/DVLP,2271,6854,1000,5854,0,1000,0,0,0,0,2,1,5,8,9,25,90.83,25,54, ,3,N,5,2,19975,94231,6528,6528,1920,0,0, , ,3.02,3,0,3,1,1004020053,0,32,989083,203456,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,233.0733329,2169.888302,74256,1,0,710,709,9,2025,12.85000038,16.18666649,3.336666107,14.58654351,1.561469948,131.2788916 +710,MN,587,7,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,72 BEDFORD STREET,R6,C2-6, , , , , , , , ,Y,C5,2,0, ,"MYERS, SYLVIA",2229,12349,2229,10120,0,2229,0,0,0,0,2,1,6,17,19,44.58,50,50,45, ,2,N,3,2,214200,1172250,0,0,1910,0,0,Greenwich Village Historic District, ,5.54,2.43,0,4.8,1,1005870007,0,67,982939,205775,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,209.9518413,2737.926934,958050,9,0,711,710,12,2700,15.94888878,18.08077812,2.131889343,16.12654622,0.589223087,193.5185547 +711,MN,545,14,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,724 BROADWAY,M1-5B, , , , , , , , , ,N,K1,5,0, ,MCDONALDS USA LLC,3648,3538,3538,0,0,3538,0,0,0,0,2,1,1,0,1,26.5,137.5,26.5,137, ,3,N,5,2,675000,1486800,0,0,1900,1988,0,NoHo Historic District, ,0.97,0,5,6.5,1,1005450014,0,57,986130,204907,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,341.7469312,3913.01241,811800,9,0,712,711,17,3825,38.29555511,42.05333328,3.757778168,38.51660089,0.884183098,654.7822151 +712,MN,860,7501,105,74,3000,2,2,10016,L007,14,15,5200,1,5, ,45 EAST 30 STREET,C5-2, , , , , , , , , ,N,RM,4,0, , ,3868,46918,6819,40099,0,3928,0,2359,0,532,2,1,19,40,43,0.08,0,0,0, ,0,N,0,5,1480503,7836137,11800,11800,1922,0,0, , ,12.13,10,10,10,1,1008607501,1472,74,988795,210695,8d, ,104 017,10306, ,1008600032,10/18/2005,1, , ,17V1.1,7,277.0158375,3922.71395,6355630,10,0,713,712,17,3825,37.50888824,37.50888824,0,37.50888824,0,637.6511002 +713,MN,573,19,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,42 WEST 10 STREET,R6, , , , , , , , , ,N,D7,4,0, ,SHALVIN CP,5950,39782,300,39482,300,0,0,0,0,0,2,1,9,46,47,64.5,92.25,65,74, ,3,N,5,2,625500,3308400,0,0,1917,0,0,Greenwich Village Historic District, ,6.69,2.43,0,4.8,1,1005730019,0,63,984924,206719,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,314.8410283,5975.720071,2682900,8,0,714,713,25,5625,18.98099899,24.15888786,5.17788887,19.55969246,1.573619933,488.9923115 +714,MN,885,85,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,106 EAST 30 STREET,C6-4A, , , , , , , , , ,N,C5,2,0, ,BAYARD ST. PROPERTIES,1975,4742,0,4742,0,0,0,0,0,0,2,1,4,7,7,20,98.75,20,64, ,3,N,5,2,109090,420273,0,0,1915,1989,0, , ,2.4,10,10,10,1,1008850085,0,72,989012,210395,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,242.65991,2020.899708,311183,10,0,715,714,9,2025,32.84000015,36.57444382,3.734443665,33.48271603,1.253855224,301.3444443 +715,MN,907,11,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,215 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,215 EAST 26TH STREET,2469,10095,750,9345,0,750,0,0,0,0,2,1,5,18,20,25,98.75,25,83, ,3,N,5,2,77400,1296000,0,0,1912,1959,0, , ,4.09,4,0,4,1,1009070011,0,66,989558,209094,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,250.5783843,2489.026804,1218600,11,0,716,715,11,2475,35.09000015,36.38555527,1.295555115,35.27750501,0.413412699,388.0525551 +716,MN,507,3,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,230 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,S2,4,0, ,HAMILTON & CHURCH LLC,1860,6800,1000,5800,0,1000,0,0,0,0,2,1,5,2,3,20,92.83,20,50, ,3,N,5,5,19220,129168,0,0,1910,2008,2008, , ,3.66,6.02,6,6.5,1,1005070003,0,43,985975,202682,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,233.0670816,1762.990062,109948,9,0,717,716,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +717,MN,385,4,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,25 AVENUE B,R7A, , , ,C1-5, , , , , ,N,K1,5,0,P,"HOT POTATO,LLC",2087,1750,1750,0,0,1750,0,0,0,0,2,1,1,0,1,27.92,74.75,28,58, ,3,N,5,2,202500,734850,0,0,1950,0,0, , ,0.84,4,0,4,1,1003850004,0,2202,988960,202406,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,211.5170216,2185.97072,532350,1,0,718,717,10,2250,17.58333397,20.03555489,2.452220917,17.82855606,0.735666275,178.2855606 +718,MN,903,7501,106,64,1001,2,2,10010,E005,13,14,5900,1,6, ,289 3 AVENUE,C2-8A,R8A, , , , , , , , ,Y,RX,4,0,P,GRAMERCY PARK HABITAT,18044,94593,12908,81685,0,5460,0,7448,0,0,2,1,7,64,67,42,228.75,153,75, ,0,Y,5,5,1935000,11073823,35400,35400,1920,1983,0, , ,5.24,10,2,10,1,1009037501,127,64,988983,208197,8d, ,104 007,10308, ,1009030027,12/5/1984,1, , ,17V1.1,7,672.7664762,18224.46011,9138820,11,0,719,718,83,18675,19.86555672,24.28222275,4.416666031,19.91876956,0.481862794,1653.257874 +719,MN,925,37,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,335 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,TIRAN REALTY,1847,5050,800,4250,0,800,0,0,0,0,2,1,4,6,7,23.08,80,23,80, ,3,N,5,2,108960,484536,0,0,1920,1962,0, , ,2.73,4,2,4,1,1009250037,0,64,989678,206990,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,213.9298768,1954.943682,375576,5,0,720,719,9,2025,15.27999973,15.27999973,0,15.27999973,0,137.5199976 +720,MN,437,33,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,439 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,SCIME SANDRA,2306,5577,1394,4183,0,1394,0,0,0,0,2,1,4,7,9,25,92.25,25,50, ,3,N,5,2,59117,203299,0,0,1900,1986,0, , ,2.42,4,0,4,1,1004370033,0,34,988949,204381,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,241.824893,2330.470507,144182,12,0,721,720,11,2475,17.51666641,19.21222305,1.695556641,17.81383827,0.499134737,195.9522209 +721,MN,879,60,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,32 LEXINGTON AVENUE,C6-4A, , , , , , , , , ,N,K1,5,0, ,JIANGSON REALTY INC,3013,3013,3013,0,0,3013,0,0,0,0,2,1,1,0,3,60.25,50,60.25,50, ,3,N,5,0,450000,1057050,0,0,1910,1989,0, , ,1,10,10,10,1,1008790060,0,68,988520,208902,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,234.2188661,3406.985239,607050,11,0,722,721,15,3375,28.24111176,28.24111176,0,28.24111176,0,423.6166763 +722,MN,771,74,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,234 8 AVENUE,C1-6A, , , , , , , , , ,N,D4,3,0, ,ZADA REALTY LLC,1836,12888,1730,11158,0,1730,0,0,0,0,2,1,7,10,12,24.75,74.17,25,74, ,2,N,3,2,247950,1877400,0,0,1960,1987,2001, , ,7.02,4,2,4,1,1007710074,0,87,984590,210486,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,211.8025517,2138.04621,1629450,7,0,723,722,11,2475,21.99111176,21.99111176,0,21.99111176,0,241.9022293 +723,MN,643,7501,102,79,3000,2,3,10014,L005,6,15,6100,3,2, ,77 HORATIO STREET,R6, , , , , , , , , ,N,R2,2,0,P,77 HORATIO ST CONDOMI,3898,11362,0,11362,0,0,0,0,0,0,2,1,3,12,12,46,84.25,0,0, ,0,N,5,5,251998,1582649,23019,67314,1910,0,0,Greenwich Village Historic District, ,2.91,2.43,0,4.8,1,1006437501,314,79,982224,208492,8b, ,103 014,10210, ,1006430067,12/25/1986,1, , ,17V1.1,7,262.1572865,3885.54273,1330650,8,1,724,723,18,4050,11.21500015,12.99222183,1.77722168,11.40225315,0.45955272,205.2405567 +724,MN,846,56,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,866 BROADWAY,M1-5M,C6-4, , , , ,US, , , ,Y,S1,4,0, ,"866 BROADWAY, LLC",2174,7151,3689,3462,0,2126,0,1563,0,0,2,1,4,1,2,25,90.83,25,84,E,3,Y,5,2,144995,261732,0,0,1910,1985,2012,Ladies' Mile Historic District, ,3.29,0,5,6.5,1,1008460056,0,52,987038,207924,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,232.2979997,2293.353849,116737,7,0,725,724,11,2475,41.51599884,41.51599884,0,41.51599884,0,456.6759872 +725,MN,300,27,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,21 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,21 ALLEN STREET CORP.,1683,6635,1000,5635,0,1000,0,0,0,0,2,1,5,14,18,25.67,65.58,25,50, ,3,N,5,1,74700,246600,0,0,1920,0,0, , ,3.94,3.44,6,6.5,1,1003000027,0,16,986291,199976,12d,Y,101N050,10107, ,0, ,1, , ,17V1.1,0,186.076668,1688.884741,171900,13,0,726,725,8,1800,39.09000015,39.34600067,0.256000519,39.12200022,0.084664214,312.9760017 +726,MN,390,42,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,219 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,219 E 7TH ST HOUSING,4290,18288,0,18288,0,0,0,0,0,0,2,1,6,24,24,44,97.5,44,84, ,3,N,5,2,180000,985050,180000,771941,1910,2014,0, , ,4.26,4,0,4,1,1003900042,0,2602,989976,203241,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,289.6157588,4465.331678,805050,12,1,727,726,19,4275,7.409999847,7.409999847,0,7.409999847,0,140.7899971 +727,MN,630,35,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,687 GREENWICH STREET,R6, , , , , , , , , ,N,A9,1,0, ,"WONG, ROBERT",685,2408,0,1798,0,0,0,0,0,0,2,1,3,1,1,32.1,20.8,30,20, ,3,Y,5,1,48465,149299,1550,1550,1989,0,0,Greenwich Village Historic District, ,3.52,2.43,0,4.8,1,1006300035,0,75,982260,206428,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,110.4436754,735.2079653,100834,9,0,728,727,5,1125,18.16222191,19.18444443,1.022222519,18.51599998,0.441963152,92.57999992 +728,MN,615,54,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,37 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,"TANKEL, JOANNA M",2587,4075,0,4075,0,0,0,0,0,0,2,1,3.5,5,5,25,100,25,58,E,3,Y,5,5,295298,495228,0,0,1916,1989,0,Greenwich Village Historic District, ,1.58,2.43,0,4.8,1,1006150054,0,77,983313,207820,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,262.0909968,2689.180307,199930,8,0,729,728,13,2925,23.05999947,23.05999947,0,23.05999947,0,299.7799931 +729,MN,406,11,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,510 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"BRU-SAL REALTY, INC.",3872,16002,800,15202,0,800,0,0,0,0,2,1,6,27,29,37.5,103.25,38,90, ,3,N,5,2,190350,1626300,0,0,1900,1978,0, , ,4.13,4,0,4,1,1004060011,0,34,989685,204973,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,287.9347383,3948.4238,1435950,12,0,730,729,18,4050,13.0880003,15.18000031,2.092000008,13.20422252,0.4791965,237.6760054 +730,MN,434,38,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,439 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,P V P MANAGEMENT CORP,2270,6410,975,5435,0,975,0,0,0,0,2,1,5,8,9,25,90.83,25,48, ,3,N,5,2,32359,121976,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.82,4,0,4,1,1004340038,0,32,988577,203735,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,241.5003787,2446.244756,89617,1,0,731,730,11,2475,18.26222229,20.58444405,2.322221756,18.87060599,0.767047378,207.5766659 +731,MN,531,56,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,30 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,G6,10,0, ,"SP GREAT JONES, LLC",2567,0,0,0,0,0,0,0,0,0,7,1,0,0,0,26,100,0,0, ,0,Y,5,5,290250,290250,0,0,0,0,0,NoHo Historic District Extension, ,0,0,5,6.5,1,1005310056,0,5502,986213,204220,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,260.0031333,2704.049789,0,9,0,732,731,12,2700,43.71333313,45.88999939,2.17666626,44.93120384,0.706325597,539.1744461 +732,MN,923,1,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,302 2 AVENUE,R9A,R8A,R7B, , , , , , , ,Y,I9,8,0,P,HOSPITAL FOR JOINT ET,22940,327933,327933,0,327933,0,0,0,0,0,2,1,17,0,1,184,134,150,102, ,2,Y,3,2,6975000,35304300,6975000,35304300,1978,0,0, , ,14.3,7.52,0,7.52,1,1009230001,0,48,988961,206837,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,667.8514458,25648.34543,28329300,5,0,733,732,114,25650,16.06999969,24.36999893,8.299999237,18.48233904,3.16077667,2106.98665 +733,MN,441,7502,103,34,4000,1,2,10009,L011,9,14,6200,4,3, ,404 EAST 14 STREET,C1-7A, , , , , , , , , ,N,RM,4,0, , ,5782,26854,3603,23251,0,3603,0,0,0,0,2,1,6,9,10,28,206.5,20,202, ,0,N,0,5,277916,1511062,9440,9440,1920,0,0, , 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,17V1.1,0,257.817341,2781.612249,1917000,2,0,736,735,13,2925,38.00333405,44.69666672,6.693332672,39.46803489,2.681206457,513.0844536 +736,MN,716,13,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,443 WEST 18 STREET,R8A, , , , , , , , , ,N,K2,5,0,P,ALCAM PROPERTY MANAGE,8425,16866,16866,0,0,16866,0,0,0,0,2,1,2,0,2,91.67,92,98,92, ,2,N,5,0,450000,2010600,0,0,1920,0,0, , ,2,6,0,6,1,1007160013,0,89,982827,210464,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,373.596835,8720.857106,1560600,7,1,737,736,37,8325,9.675999641,9.675999641,0,9.675999641,0,358.0119867 +737,MN,627,17,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,45 HORATIO STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,45 HORATIO LLC,936,2704,0,2096,0,0,0,0,0,0,2,2,4,2,2,16,58.5,16,42,E,2,N,5,1,40198,130472,0,0,1899,0,0,Greenwich Village Historic District, ,2.89,3.44,2,6.5,1,1006270017,0,79,982618,208479,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,149.5839143,910.6088334,90274,8,0,738,737,4,900,14.72666645,14.72666645,0,14.72666645,0,58.9066658 +738,MN,424,26,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,9 DELANCEY STREET,C6-3A,C6-1, , , , , , , , ,Y,C7,4,0,P,CH LANG REALTY CORP,1792,7578,630,6948,0,630,0,0,0,0,2,1,6,15,17,109,16,108,16, ,3,Y,3,2,267750,596700,0,0,1900,0,0, , ,4.23,7.52,6,7.5,1,1004240026,0,18,986096,201541,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,260.3583546,1944.858494,328950,13,0,739,738,9,2025,35.63777924,41.01222229,5.374443054,36.92553202,2.100474636,332.3297882 +739,MN,744,70,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,356 WEST 21 STREET,C2-6A, , , , , , , , , ,N,C2,2,0, ,"356 WEST 21ST,",1604,5720,0,5720,0,0,0,0,0,0,2,1,5,5,5,21.67,74,22,61, ,2,N,5,5,265121,445551,0,0,1940,0,0, , ,3.57,4,2,4,1,1007440070,0,89,983712,210652,8b, ,103 038,10303, ,1007440003,3/6/1986,1, , ,17V1.1,0,190.2650903,1538.936504,180430,7,0,740,739,8,1800,15.84222221,16.76333237,0.921110153,16.0560832,0.37187038,128.4486656 +740,MN,451,36,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,151A 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,151 1 AVE H D F CORP,2308,6333,1100,5233,0,1100,0,0,0,0,2,1,5,8,9,23.08,100,23,53, ,3,N,5,2,46058,158067,46058,59042,1900,1986,2011, , ,2.74,4,0,4,1,1004510036,0,40,988398,204701,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.7676856,2398.878764,112009,12,0,741,740,11,2475,23.10400009,25.98333359,2.879333496,23.8982022,1.108050481,262.8802242 +741,MN,447,7,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,100 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0,P,"AHMED, ABU SUFIAN",2425,6581,1316,5265,0,1316,0,0,0,0,2,1,4,6,7,24.25,100,24,65,E,3,N,5,1,118738,394686,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.71,4,0,4,1,1004470007,0,38,987478,204185,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,256.0862696,2499.835446,275948,1,0,742,741,12,2700,28.15800095,32.31933594,4.161334991,28.50477886,1.150132233,342.0573463 +742,MN,851,28,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,33 EAST 22 STREET,C6-4M, , , , , , , , , ,N,D4,3,0, ,33 EAST 22ND ST TENAN,9604,32415,0,32415,0,0,0,0,0,0,2,1,5,40,40,98,98.75,98,72,E,3,N,5,2,927000,2976750,42001,42001,1938,1989,0, , ,3.38,10,10,10,1,1008510028,0,56,987689,208902,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,403.9578963,10181.01923,2049750,11,0,743,742,46,10350,32.49111176,38.8722229,6.381111145,33.72543526,2.057057932,1551.370022 +743,MN,765,5,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,259 WEST 15 STREET,R8B,C1-6A, , , , , , , , ,Y,D9,3,0,P,BERNARDO FELIX,5151,20550,0,20550,0,0,0,0,0,0,2,1,6,29,29,50,103.25,50,78, ,3,N,5,2,504000,2311200,0,0,1905,1989,0, , ,3.99,4,0,4,1,1007650005,0,81,983875,209028,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,313.1485743,5396.19391,1807200,7,0,744,743,24,5400,22.05333328,23.71999931,1.666666031,22.20138884,0.419574242,532.8333321 +744,MN,608,53,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,125 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0, ,125 W 12TH ST TENANTS,7744,31128,0,31128,0,0,0,0,0,0,2,1,6,34,34,75,103.25,75,78, ,3,N,5,2,585000,3474900,43782,43782,1918,1985,0,Greenwich Village Historic District, ,4.02,2.43,0,4.8,1,1006080053,0,71,984657,207633,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,365.4438894,8093.159301,2889900,8,0,745,744,37,8325,24.04400063,26.3022213,2.258220673,24.10503362,0.366197947,891.8862438 +745,MN,908,7502,106,66,2001,2,2,10016,E016,13,14,5800,2,6, ,385 3 AVENUE,C2-8, , , , , , , , , ,N,RM,4,0, , ,4446,63277,3160,60117,0,3160,0,0,0,0,2,1,18,49,50,49.33,90,49.33,90, ,3,N,0,5,400050,8789850,366768,7176150,2006,0,0, , ,14.23,10,2,10,1,1009087502,1953,66,989585,209460,8d, ,104 008,10308, ,1009080056,12/8/2008,1, , ,17V1.1,7,279.3021609,4452.304805,8389800,11,0,746,745,20,4500,39.05888748,39.05888748,0,39.05888748,0,781.1777496 +746,MN,280,15,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,49 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,G6,10,0, ,CHIN AS TO A 50% INT,14500,0,0,0,0,0,0,0,0,0,7,1,0,0,0,150,100.08,0,0, ,0,Y,5,5,1904400,1904400,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002800015,0,8,985560,199103,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,500.0877062,14635.93485,0,16,0,747,746,68,15300,29.04899979,37.45999908,8.410999298,33.35110639,1.423070188,2267.875235 +747,MN,765,60,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,230 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,TOCKWOOTEN ASSOCIATES,5160,17169,0,17169,0,0,0,0,0,0,2,3,5,26,26,51.08,103.25,25,60, ,3,Y,5,5,304650,1118250,0,0,1900,0,0, , ,3.33,4,0,4,1,1007650060,0,81,984140,209002,8d, ,103 032,10304, ,1007650060,1/7/1993,1, , ,17V1.1,0,317.4340835,5513.76565,813600,7,0,748,747,24,5400,22.05333328,25.34111214,3.287778854,22.77865736,1.154062802,546.6877766 +748,MN,444,8,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,50 2 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,SECOND AND THIRD LLC,2000,11358,1893,9465,0,1893,0,0,0,0,2,1,6,10,14,50,40,50,40, ,3,N,3,2,76950,746100,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,5.68,6.02,6,6.5,1,1004440008,0,3602,987091,203547,12c, ,102 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,17V1.1,0,135.0213697,910.7524481,231300,9,0,751,750,4,900,19.74111176,20.66110992,0.919998169,19.9711113,0.398370893,79.88444519 +751,MN,595,48,101,39,1003,2,1,10013,L008,1,15,7700,1,1,3B,136 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,138 WATTS STREET OWNE,3360,19452,3360,16092,0,3360,0,0,0,0,2,1,6,5,6,60,56,60,56, ,3,N,5,2,73135,634327,4720,4720,1920,0,0, , ,5.79,6.02,6,6.5,1,1005950048,0,39,981502,203158,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,239.7144356,3591.394659,561192,0,1,752,751,15,3375,7.909999847,7.909999847,0,7.909999847,0,118.6499977 +752,MN,29,45,101,9,1010,2,1,10004,L015,1,15,7700,1,1,1B,13 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,O5,5,0,P,"WILLIAM REALTY, LLC.",1443,3469,3469,0,2313,1156,0,0,0,0,2,1,3,0,2,16.25,77.67,16,79, ,3,Y,4,2,171450,1070550,0,0,1839,2008,2008,Stone Street Historic District, ,2.4,10,15,15,1,1000290045,0,9,981381,195953,12b, ,101S002,10101, ,0, ,1, , 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,17V1.1,0,868.4230813,45852.74231,1962900,16,0,757,756,204,45900,15.92222214,23.41333389,7.491111755,19.3153046,2.067439648,3940.322138 +757,MN,273,32,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,134 HENRY STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"POMARICO, ALESSANDRA",2383,5060,0,4048,0,0,0,0,0,0,2,1,4,3,3,23.83,100,23.83,44,E,3,N,5,1,8076,33336,0,0,1900,0,0, , ,2.12,3.44,0,6.5,1,1002730032,0,6,986799,199080,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,254.8003617,2528.875053,25260,16,0,758,757,12,2700,23.87533379,27.1348877,3.259553909,25.0859259,1.442289346,301.0311108 +758,MN,529,27,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,35 BOND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,35 BOND STREET CORP,8010,43020,7170,35850,0,7170,0,0,0,0,2,2,6,13,15,75,114.17,37,92, ,3,Y,5,2,1039500,4873500,48310,48310,1910,1984,0,NoHo Historic District Extension, ,5.37,0,5,6.5,1,1005290027,0,5502,986080,203773,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,374.0570217,8326.511245,3834000,9,0,759,758,36,8100,41.23199844,46.23777771,5.005779266,41.51156637,1.108723344,1494.416389 +759,MN,613,14,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,242 WEST 11 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"HAMILTON, EVELYN",1600,2562,0,2562,0,0,0,0,0,0,2,1,3,4,4,20,80,20,57,E,3,N,5,5,171391,286709,0,0,1910,0,0,Greenwich Village Historic District, ,1.6,2.43,0,4.8,1,1006130014,0,73,983405,207447,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,202.9552575,1649.835374,115318,8,0,760,759,7,1575,25.34199905,28.78333282,3.441333771,26.56987245,1.443588311,185.9891071 +760,MN,411,7501,103,30.01,2000,1,1,10002,L018,7,14,6600,2,3, ,112 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,1773,5851,3319,2532,844,2475,0,0,0,0,2,1,5,6,10,22.17,80,0,0, ,0,N,5,5,139500,1173600,7080,7080,1900,0,0, , ,3.3,4,4,4,1,1004117501,754,3001,987658,201616,12c, ,102 033,10204, ,1004110069,2/26/1991,1, , 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,17V1.1,0,145.1756972,1058.015049,198659,9,0,767,766,4,900,20.16444397,20.16444397,0,20.16444397,0,80.65777588 +767,MN,924,45,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,340 EAST 19 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,340 FREEDOM LLC,1794,3800,0,3800,0,0,0,0,0,0,2,1,4,2,2,19.5,92,19.5,50, ,3,N,5,2,61924,149350,0,0,1910,0,0, , ,2.12,3,0,3,1,1009240045,0,48,989420,206921,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,227.4160972,1799.751058,87426,5,0,768,767,8,1800,14.83555603,17.48777771,2.65222168,15.37638927,0.879945222,123.0111141 +768,MN,792,7505,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,114 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,6893,31560,16486,15074,0,16486,0,0,0,0,2,1,7,5,9,74.92,92,74,84, ,0,N,0,5,124870,2114608,0,0,1906,0,0, , ,4.58,6.02,6,6.5,1,1007927505,949,81,985201,208698,8d, ,103 029,10305, ,1007920046,12/24/1996,1, , ,17V1.1,7,337.2482779,7016.121173,1989740,7,0,769,768,31,6975,27.66555595,30.97000122,3.304445267,27.95617602,0.896168087,866.6414566 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,N,C6,2,0,P,NEW ERA HOUSING ETAL,2469,9580,0,9580,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,83, ,3,N,5,2,51300,429750,51300,222270,1910,1985,0, , ,3.88,6,0,6,1,1007220046,0,93,983938,211734,8b,Y,105S005,10302, ,0, ,1, , ,17V1.1,0,248.8298975,2529.642779,378450,2,1,774,773,12,2700,10.68099976,18.25,7.569000244,12.18898129,2.574370138,146.2677755 +774,MN,626,38,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,26 HORATIO STREET,C1-6,R6, , , , , , , , ,Y,C1,2,0, ,"ISEMAN, JOSEPH S",4375,18564,0,18564,0,0,0,0,0,0,2,1,6,24,24,50,87.5,50,74.5, ,3,Y,5,0,254700,1354050,0,0,1904,0,0,Greenwich Village Historic District, ,4.24,3.44,2,6.5,1,1006260038,0,77,983055,208357,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,283.8007608,4634.601663,1099350,8,0,775,774,24,5400,17.68444443,17.68444443,0,17.68444443,0,424.4266663 +775,MN,519,20,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,38 KING STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SCHNABEL, OLATZ",2008,2592,0,2592,0,0,0,0,0,0,2,1,3,1,1,20,100.42,20,64, ,3,N,5,2,25472,184741,0,0,1920,1970,2008,Charlton-King-Vandam Historic District, ,1.29,2.43,0,4.8,1,1005190020,0,37,983068,204340,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,246.2385935,2070.344791,159269,9,0,776,775,9,2025,16.83888817,19.78666687,2.947778702,17.25678953,0.929703464,155.3111057 +776,MN,289,1,103,16,1004,2,1,10002,E009,5,14,7400,1,3, ,1 BOWERY,C6-1G, , , , , , , , , ,N,W1,8,0,O,NYC ED CONSTRUCTIONFU,247567,146500,146500,0,0,0,0,0,0,146500,2,2,5,0,0,703.83,650.17,57,112, ,0,Y,3,5,10584450,24386400,10584450,24386400,1978,0,0, , ,0.59,3.44,6,6.5,1,1002890001,0,16,985376,199717,12d,Y,101S030,10107, ,0, ,1, , ,17V1.1,0,2258.311564,251758.6219,13802000,16,0,777,776,1120,252000,36.47888947,63.53000259,27.05111313,43.40370496,7.280198081,48612.14956 +777,MN,490,7501,102,47,1000,2,3,10012,L008,1,15,6800,1,2, ,84 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,202 SPRING STREET ASS,2500,11695,4775,6920,2025,1800,0,950,0,0,2,1,7,4,6,100,25,100,25, ,0,N,0,5,146466,1831998,0,0,2001,0,0,Sullivan-Thompson Historic District, ,4.68,3.44,0,6.5,1,1004907501,1263,47,983241,203457,12a, ,11N 067,10206, ,1004900025,12/12/2002,1, , ,17V1.1,7,255.8390124,2725.097331,1685530,0,0,778,777,13,2925,15.65555573,18.83222198,3.17666626,15.91943601,0.842414042,206.9526682 +778,MN,584,45,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,51 MORTON STREET,R6, , , , , , , , , ,N,C6,2,0,P,MORTON ST,3145,10105,505,9600,0,505,0,0,0,0,2,2,4,21,21,33.92,100,17,58, ,3,Y,5,1,225000,984150,0,0,1900,0,0,Greenwich Village Historic District, ,3.21,2.43,0,4.8,1,1005840045,0,67,982699,205621,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,267.1857349,3332.822734,759150,9,0,779,778,15,3375,16.16111183,18.87777901,2.716667175,16.58074137,0.858085256,248.7111206 +779,MN,29,86,101,9,1005,2,1,10004,L015,1,15,7700,1,1,1B,14 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,G1,10,0, ,10-26 SOUTH WILLIAM S,11398,87775,87775,0,0,3000,84775,0,0,0,2,1,8,0,3,142.5,86.25,134,99, ,3,Y,5,2,1538550,8238600,0,0,1962,2010,0, , ,7.7,10,15,15,1,1000290086,0,9,981256,196014,12b, ,101S002,10101, ,0, ,1, ,1,17V1.1,0,480.4262606,12318.98787,6700050,17,1,780,779,56,12600,11.23400021,11.3597784,0.125778198,11.23624625,0.016657073,629.2297897 +780,MN,481,21,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,50 SPRING STREET,C6-2, , , , , ,LI, , , ,N,K2,5,0, ,BRANNON REALTY LLC,2550,7327,7327,0,0,7327,0,0,0,0,2,2,2,0,1,25.33,104.75,25,100, ,0,Y,5,5,540000,893394,0,0,2016,2012,0, , ,2.87,6.02,6,6.5,1,1004810021,0,41,985208,202261,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,265.691999,2769.585986,353394,0,0,781,780,13,2925,35.01599884,38.02111053,3.005111694,35.98777712,1.215352948,467.8411026 +781,MN,507,12,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,248 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"BRULLO,JOHN",1980,7456,595,6861,0,595,0,0,0,0,2,1,5,8,9,24.25,81.67,24,59, ,3,N,5,2,18956,104257,0,0,1910,1982,0, , ,3.77,6.02,6,6.5,1,1005070012,0,43,986025,202863,12c, 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, , , , , ,N,O6,5,0,P,171 MADISON DE LLC,7400,113182,113182,0,106182,7000,0,0,0,0,2,1,16,0,60,74,100,74,94, ,3,N,5,2,4725000,12771450,0,0,1926,1984,0, , ,15.29,10,10,10,1,1008630027,0,74,988943,211480,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,360.7781926,8002.497495,8046450,10,0,791,790,35,7875,47.24111176,49.51499939,2.273887634,49.32630114,0.557194563,1726.42054 +791,MN,350,75,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,184 STANTON STREET,R7A, , , , , , , , , ,N,C4,2,0,P,182 STANTON LLC,2227,12046,0,12046,0,0,0,0,0,0,2,1,6,9,9,34,65.5,58,34,E,3,N,3,2,131383,506045,0,0,1920,1985,2011, , ,5.41,4,0,4,1,1003500075,0,2201,988766,201649,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,199.7291204,2255.134995,374662,1,0,792,791,11,2475,21.35555649,21.35555649,0,21.35555649,0,234.9111214 +792,MN,622,10,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,570 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"300 WEST 11TH STREET,",1800,5313,1753,3560,0,1753,0,0,0,0,2,1,3,2,3,49.25,26.17,49.25,26.17,E,3,Y,3,5,67603,168805,0,0,1901,0,0,Greenwich Village Historic District, ,2.95,3.44,2,6.5,1,1006220010,0,73,982655,207316,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,185.4140498,2008.240675,101202,8,0,793,792,11,2475,22.42000008,23.58888817,1.168888092,22.61696972,0.41942523,248.7866669 +793,MN,374,8,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,702 EAST 5 STREET,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,702 EAST 5TH STREET H,1992,9620,1000,8620,0,1000,0,0,0,0,2,1,6,8,9,24,83,24,88,E,2,N,3,2,17332,82683,0,0,1900,1980,0, , ,4.83,4,0,4,1,1003740008,0,2601,989919,202569,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,223.5236662,2252.534662,65351,1,1,794,793,10,2250,10.52222252,11.84955597,1.32733345,10.83693352,0.504873804,108.3693352 +794,MN,449,44,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,73 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,73-75 E 7TH ST COMPAN,4875,22314,4200,18114,0,4200,0,0,0,0,2,1,6,33,36,50,97.5,50,85, 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,3.54,3.44,0,6.5,1,1005430061,0,65,984164,205502,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,205.3361503,1839.285898,457444,9,0,797,796,9,2025,18.19555664,18.49900055,0.303443909,18.39785258,0.14304483,165.5806732 +797,MN,294,8,103,16,5005,2,1,10002,E015,7,14,7400,1,3,2B,56 CANAL STREET,C6-2G, , , , , , , , , ,N,HB,5,0,P,NINE ORCHARD PARTNERS,4787,60329,0,0,0,0,0,0,0,0,2,1,14,0,16,65.58,73,66,73, ,2,Y,3,2,1283850,3308400,0,0,1913,2001,2013, ,S. JARMULOWSKY BANK BUILDING,12.6,6.02,6,6.5,1,1002940008,0,16,986418,199687,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,287.5459315,5158.107367,2024550,16,0,798,797,23,5175,39.43111038,39.43111038,0,39.43111038,0,906.9155388 +798,MN,880,7501,105,68,1003,2,2,10010,E016,13,14,5300,1,5, ,117 EAST 24 STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,OWNER / AGENT,4543,45212,16826,28386,10335,4400,0,2091,0,0,2,1,12,11,15,46,98.75,46,98, ,0,N,5,5,599851,6932703,49878,439124,1920,1986,0, , ,9.95,6.02,6,6.5,1,1008807501,245,68,988442,209123,8d, ,104 005,10307, ,1008800012,11/29/1985,1, , ,17V1.1,7,295.2726773,4705.053044,6332850,11,0,799,798,21,4725,29.2211113,32.77111053,3.549999237,29.59275155,0.947365844,621.4477825 +799,MN,455,7,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,300 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,K1,5,0,P,NEW YORK EYE EAR INET,1705,1699,1699,0,0,1699,0,0,0,0,2,1,1,0,1,33,51.67,33,51, ,3,N,3,2,301950,430200,0,0,1920,0,0, , ,1,4,2,4,1,1004550007,0,40,988436,205998,12c, ,102 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,17V1.1,0,242.3676512,2429.542883,137269,12,0,804,803,12,2700,25.48777771,33.85889053,8.371112823,27.8487409,3.250203117,334.1848907 +804,MN,304,5,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,103 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,BOWERY 103 LLC,2626,9814,5889,3925,0,2500,0,0,0,3389,2,1,5,4,5,25,104.58,25,93,E,3,Y,5,2,162450,784350,0,0,1915,1988,0, , ,3.74,3.44,6,6.5,1,1003040005,0,16,985657,200690,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,269.1785933,2785.491667,621900,0,0,805,804,13,2925,34.17111206,39.1222229,4.95111084,35.87107702,1.041470264,466.3240013 +805,MN,606,85,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,9 PATCHIN PLACE,R6, , , , , , , , , ,N,S4,4,0, ,"PATCHIN PLACE, LLC",1140,3870,1290,2580,0,1290,0,0,0,0,2,1,3,4,5,21.75,60,22,39, ,2,Y,6,5,100512,229366,0,0,1915,0,0,Greenwich Village Historic District, ,3.39,2.43,0,4.8,1,1006060085,0,71,984460,207141,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,162.9577964,1205.974265,128854,8,0,806,805,5,1125,20.06222153,21.52000046,1.457778931,20.5571106,0.621957242,102.785553 +806,MN,500,16,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,120 PRINCE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,120 PRINCE STREET OWN,1729,3460,3460,0,0,1730,0,0,0,1730,2,1,2,1,5,25,69,69,25, ,3,N,0,0,544500,4807350,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,2,0,5,6.5,1,1005000016,0,49,984277,203473,12c, ,101N072,10206, ,1005000015,1/9/2013,1, , ,17V1.1,0,200.6022289,1970.413709,4262850,0,0,807,806,8,1800,23.75111198,24.89599991,1.144887924,24.64461112,0.403194687,197.156889 +807,MN,699,7502,104,99,1029,2,3,10001,E003,10,15,5500,2,4, ,540 WEST 28 STREET,C6-3, , , , , ,WCH, , , ,N,RM,4,0, , ,17406,98610,17029,81581,0,5964,0,8812,0,2253,2,1,13,90,96,0.39,0,125,83, ,3,N,0,5,4500000,17973622,0,6970695,2009,0,0, , ,5.67,7.52,6,10,1,1006997502,2177,99,983167,213024,8b, ,105S004,10301, ,1006990057,4/5/2011,1, , ,17V1.1,7,528.5050226,17406.20332,13473600,2,1,808,807,77,17325,9.874000549,15.07666683,5.202666283,13.30365657,1.797791795,1024.381556 +808,MN,394,1,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,175 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"CURRAGH REALTY, LLC",1846,8469,400,8069,0,400,0,0,0,0,2,1,5,13,14,26,71,25,69, ,1,N,3,2,135000,1196100,0,0,1900,1984,0, , ,4.59,4,0,4,1,1003940001,0,28,990016,204317,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,201.4402145,2056.092568,1061100,12,1,809,808,9,2025,9.237999916,12.53999996,3.302000046,9.892691294,1.218957028,89.03422165 +809,MN,633,56,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,555 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"SPEHAR, SUSAN",1039,1920,640,1280,0,640,0,0,0,0,2,1,3,2,3,16,67,16,32, ,3,Y,5,5,25401,89848,0,0,1901,0,0,Greenwich Village Historic District, ,1.85,3.44,2,6.5,1,1006330056,0,75,982501,207187,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,162.5720366,1011.56152,64447,9,0,810,809,5,1125,19.46666718,19.46666718,0,19.46666718,0,97.33333588 +810,MN,586,80,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,23 LEROY STREET,C2-6,R6, , , , , , , , ,Y,C4,2,0, ,VILLAGE MNGMNT INCORP,2250,8815,0,8815,0,0,0,0,0,0,2,1,5,22,22,25,90,25,78, ,3,N,5,2,192600,1401300,0,0,1900,1988,0,Greenwich Village Historic District Exte, ,3.92,3.44,2,6.5,1,1005860080,0,67,983152,205508,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,229.3568241,2258.219002,1208700,9,0,811,810,10,2250,15.38333321,15.38333321,0,15.38333321,0,153.8333321 +811,MN,902,1,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,267 3 AVENUE,C1-9A,C2-8A,R8B,R8A, , , , , , ,Y,D4,3,0, ,QUAKER RIDGE TENANTS,21350,275900,23450,252450,2000,10850,10000,0,0,600,2,1,19,264,269,175.5,122,175.5,75,G,2,Y,3,2,3114000,25137000,631540,631540,1962,2012,2012, , ,12.92,10,2,10,1,1009020001,0,64,988811,208033,12c,Y,102 047,10308, ,0, ,1, , ,17V1.1,0,650.2994199,21319.45453,22023000,11,0,812,811,96,21600,19.86555672,23.23333359,3.367776871,20.82545473,0.710999017,1999.243654 +812,MN,500,7504,102,49,1006,2,1,10012,L020,1,15,6800,1,2, ,102 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,38731,11931,26800,0,11931,0,0,0,0,2,1,7,8,9,75,100,75,100, ,0,Y,5,5,325937,4314292,0,0,1900,2001,0,SoHo-Cast Iron Historic District, ,5.16,0,5,6.5,1,1005007504,1204,49,984100,203228,12c, ,101N072,10206, ,1005000002,11/27/2001,1, , ,17V1.1,7,360.9164673,7932.315384,3988360,0,0,813,812,35,7875,17.84111023,19.3298893,1.488779068,17.88364677,0.248028547,625.9276371 +813,MN,914,34,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,619 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,K4,4,0, ,"CUTTITA, KATHLEEN E",1295,3288,1660,1628,0,1660,0,0,0,0,2,1,4,2,5,18.5,70,18.5,44, ,3,N,5,2,144900,455400,0,0,1930,1958,0, , ,2.54,10,2,10,1,1009140034,0,70,990819,210589,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,181.4453605,1319.177418,310500,10,0,814,813,7,1575,17.92555618,20.26666641,2.341110229,18.2600005,0.819217928,127.8200035 +814,MN,872,72,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,108 EAST 17 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,NEW 1804 WASH CORP,2323,8725,0,8725,0,0,0,0,0,0,2,1,4,10,10,25.25,92,25,68, ,3,N,5,1,72213,340476,0,0,1900,1985,0,East 17th Street/Irving Place Historic D, ,3.76,4,0,4,1,1008720072,0,50,987490,207433,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,240.4801541,2375.745291,268263,5,0,815,814,10,2250,35.47555542,38.64111328,3.165557861,35.81088905,0.945067769,358.1088905 +815,MN,465,48,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,157 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0, ,"SHOUT 1, LLC",2250,7032,2812,4220,1406,1406,0,0,0,0,2,1,5,6,8,22.5,100,22.5,62.5,E,3,N,5,2,137853,320363,0,0,1900,1984,2012, , ,3.13,4,0,4,1,1004650048,0,40,987786,205142,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,264.2191486,2535.188109,182510,12,0,816,815,11,2475,31.03333282,31.03333282,0,31.03333282,0,341.3666611 +816,MN,402,32,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,178 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,MADS LIMITED LIABILIT,2560,10270,1000,9270,0,1000,0,0,0,0,2,1,6,16,18,28.08,90.83,28,76, ,2,N,5,2,199800,1087650,0,0,1900,0,0, , ,4.01,4,0,4,1,1004020032,0,32,989326,203428,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,241.8886236,2617.814466,887850,12,0,817,816,11,2475,12.85000038,12.85000038,0,12.85000038,0,141.3500042 +817,MN,593,6,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,13 GAY STREET,R6,C4-5, , , , ,LC, , , ,Y,A4,1,0, ,"KUNTSLER, WILLIAM",1235,2030,0,2030,0,0,0,0,0,0,2,1,3,1,1,19,65,19,35, ,3,N,5,2,29370,121098,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1005930006,0,71,984167,206523,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,168.4482496,1263.153409,91728,8,0,818,817,5,1125,17.50333405,19.49777794,1.994443893,18.55088921,0.866815492,92.75444603 +818,MN,162,54,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,16 BOWERY,C6-1, , , , , , , , , ,N,O5,5,0,P,HIP WAH HING REALTY C,2375,9276,9276,0,6957,2319,0,0,0,0,2,1,4,0,5,24.92,100.83,25,101, ,3,Y,5,2,174600,596250,0,0,1920,0,0, , ,3.91,3.44,6,6.5,1,1001620054,0,29,984930,199615,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,253.4743789,2325.441168,421650,16,0,819,818,10,2250,39.70399857,39.70399857,0,39.70399857,0,397.0399857 +819,MN,212,70,101,33,3010,2,1,10013,L008,1,15,7700,1,1, ,15 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K1,5,0, ,CANAL FUNDING INC,3050,2000,2000,0,0,2000,0,0,0,0,2,1,1,0,1,68.75,122.92,25,30, ,0,Y,3,5,363600,683550,0,0,1999,0,0, , ,0.66,6.02,6,6.5,1,1002120070,0,33,982872,202062,12a, ,101N041,10105,E-257,0, ,1,1,1,17V1.1,0,279.2726183,2996.304822,319950,0,1,820,819,13,2925,9.686666489,9.686666489,0,9.686666489,0,125.9266644 +820,MN,537,11,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,228 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,228 THOMPSON REALTY L,2476,8793,2890,5903,0,2890,0,0,0,0,2,1,4,8,9,25,100,25,90, ,3,Y,5,1,76393,372721,0,0,1900,0,0,South Village Historic District, ,3.55,3.44,0,6.5,1,1005370011,0,65,984613,204951,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,253.4893811,2558.183344,296328,9,0,821,820,11,2475,27.39777756,28.5771122,1.179334641,27.5049898,0.339034872,302.5548878 +821,MN,286,31,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,239 EAST BROADWAY,R7-2, , , , , , , , , ,N,M9,8,0,P,CONGREGATION AUSTRIA,2071,5975,4775,1200,0,0,0,0,0,4775,2,1,4,1,2,23.67,87.5,24,72,E,3,N,5,2,160200,361350,55010,124080,1900,0,0, , ,2.89,3.44,0,6.5,1,1002860031,0,201,988058,199463,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,228.3728415,2147.855454,201150,13,0,822,821,9,2025,30.16900063,32.20511246,2.036111832,30.62545713,0.704477826,275.6291142 +822,MN,874,67,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1A,118 EAST 19 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,POST CHUCKLE LLC,2300,6750,2000,4750,2000,0,0,0,0,0,2,1,5,8,9,25,92,25,68,E,2,N,5,2,176491,649226,0,0,1910,1983,0, , ,2.93,4,0,4,1,1008740067,0,50,987858,207788,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,243.7241664,2421.439158,472735,5,0,823,822,10,2250,32.4355545,33.91699982,1.481445313,33.65571098,0.528405619,336.5571098 +823,MN,558,7501,103,42,1001,1,2,10003,L003,9,14,6200,4,3, ,114 EAST 13 STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,ARLINGTON PROPERTIES,7812,49895,2296,47599,0,2296,0,0,0,0,2,1,12,41,42,76.25,103.25,0,0, ,3,Y,5,5,882001,7141949,27724,34222,1985,0,0, , ,6.39,6.02,6,6.5,1,1005587501,210,42,987262,206315,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,7,366.5312607,8083.099371,6259950,12,0,824,823,36,8100,38.19900131,43.2733345,5.074333191,39.25326337,1.89510336,1413.117481 +824,MN,350,4,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,170 SUFFOLK STREET,R7A, , , , , , , , , ,N,K4,4,0, ,170 SUFFOLK REALTY CO,5000,7500,5000,2500,0,2500,0,0,0,0,2,1,2,1,3,50,100,50,98, ,0,N,5,2,202500,567450,0,0,1950,2014,0, , ,1.5,4,0,4,1,1003500004,0,3001,988450,201906,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,307.6587258,5208.865602,364950,1,0,825,824,23,5175,22.40999985,27.3488884,4.93888855,23.50227033,1.737596202,540.5522175 +825,MN,513,7501,102,49,1002,2,1,10012,L020,1,15,6800,1,2, ,130 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2575,11434,6344,5090,0,3048,0,0,0,3296,2,1,6,5,6,25.75,100,0,0, ,0,N,0,5,179065,1800409,2360,2360,1910,0,0,SoHo-Cast Iron Historic District, ,4.44,0,5,6.5,1,1005137501,814,49,984581,203513,12c, ,101N072,10206, ,1005130002,12/21/1993,1, , ,17V1.1,7,258.7141093,2633.944471,1621340,9,0,826,825,12,2700,26.62555504,28.34000015,1.714445114,26.76842546,0.473847597,321.2211056 +826,MN,529,35,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,53 BOND STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,"LO, NIN HOP",2885,5764,5764,0,2882,2882,0,0,0,0,2,1,2,0,4,44,69.92,44,69, ,3,Y,5,0,135000,1059750,0,0,1950,0,0, , ,2,0,5,6.5,1,1005290035,0,5502,986269,203676,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,230.6798895,3189.844759,924750,9,0,827,826,14,3150,41.23199844,45.22999954,3.998001099,41.77860968,1.340490861,584.9005356 +827,MN,805,87,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,140 WEST 30 STREET,M1-6, , , , , , , , , ,N,K9,5,0,P,140 AB LLC,12220,20164,20164,0,0,9000,0,11164,0,0,2,3,5,0,32,50,197.5,8,198, ,3,Y,4,2,994500,1942650,0,0,1890,0,0, , ,1.65,0,10,10,1,1008050087,0,95,986538,211700,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,558.0342176,12133.57406,948150,6,0,828,827,55,12375,34.63499832,37.71166611,3.076667786,34.76366501,0.572535451,1912.001575 +828,MN,862,63,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,18 EAST 33 STREET,C5-2, , , , , , , , , ,N,C7,4,0, ,REALTY 18 LLC,2469,8395,1500,6895,0,1500,0,0,0,0,2,1,5,9,11,25,98.75,25,97,E,3,N,5,2,154350,1018800,0,0,1925,0,0, , ,3.4,10,10,10,1,1008620063,0,74,988628,211491,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,256.4705233,2580.865085,864450,10,0,829,828,11,2475,43,46.90444565,3.904445648,46.27858526,1.055658598,509.0644379 +829,MN,495,2,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,237 LAFAYETTE STREET,C6-2, , , , , ,LI, , , ,N,D0,3,0, ,LAFAYETTE ARTISTS COR,5005,54431,6440,47991,0,6440,0,0,0,0,2,1,12,21,22,50.17,99.75,50,95,E,3,N,5,2,630000,5932350,2360,2360,1911,1986,0, , ,10.88,6.02,6,6.5,1,1004950002,0,43,985171,202538,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,308.4252524,5226.290319,5302350,0,0,830,829,24,5400,37.57110977,39.27111053,1.700000763,37.69546175,0.416767522,904.691082 +830,MN,499,17,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,100 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,96 100 PRINCE STREET,2929,12699,2540,10159,0,2540,0,0,0,0,2,1,5,4,5,29.08,101,29,92,E,3,N,5,2,152703,586071,4720,4720,1910,0,0,SoHo-Cast Iron Historic District, ,4.34,0,5,6.5,1,1004990017,0,49,984509,203278,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,266.3661375,3062.062912,433368,0,0,831,830,14,3150,22.35555458,30.10666656,7.751111984,23.41896738,2.607405681,327.8655434 +831,MN,208,1,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1A,247 CANAL STREET,M1-5B, , , , , , , , , ,N,Z9, ,0, ,CHINA BUDDHIST ASSOCI,3011,0,0,0,0,0,0,0,0,0,7,1,0,0,0,24.42,95.67,0,0, ,0,Y,3,5,608850,608850,0,0,0,0,0, , ,0,0,5,6.5,1,1002080001,0,45,984200,201065,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,275.0427299,3424.390638,0,0,0,832,831,16,3600,14.1042223,14.81400013,0.709777832,14.72820842,0.227134812,235.6513348 +832,MN,496,27,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,250 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,"CHEN FOUNDATION, INC.",3292,16766,15566,1200,12137,3429,0,0,0,0,2,1,6,1,6,25.92,126.75,26,134, ,3,Y,4,2,337500,2939850,0,0,1910,1985,1995,SoHo-Cast Iron Historic District Extensi, ,5.09,0,5,6.5,1,1004960027,0,43,985036,202746,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,328.6413599,3646.023679,2602350,0,0,833,832,17,3825,35.24111176,36.64899826,1.407886505,36.56618141,0.331267413,621.6250839 +833,MN,461,7502,103,38,2000,1,2,10003,E028,9,14,6500,3,3, ,217 EAST 5 STREET,R8B, , , , , , , , , ,N,RD,3,0, ,217 EAST 5TH ST CONDO,2426,10188,0,10188,0,0,0,0,0,0,2,2,5,11,11,25,97.05,0,97, ,0,N,5,5,120690,691695,2360,2360,1920,0,0,East Village/Lower East Side Historic Di, ,4.2,4,0,4,1,1004617502,549,38,986974,204336,12c, ,102 018,10205, ,1004610048,10/7/1988,1, , ,17V1.1,7,252.3011804,2528.740086,571005,1,0,834,833,12,2700,36.55199814,42.63000107,6.07800293,38.18799941,2.200903496,458.2559929 +834,MN,835,65,105,76,1001,2,4,10001,L024,14,15,5200,1,5,2B,40 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K2,5,0, ,40 WEST 34TH STREET L,4937,18760,18760,0,8885,9875,0,0,0,0,2,1,4,0,2,50,98.75,50,99, ,3,N,5,2,1647000,9762300,0,0,1930,2008,0, , ,3.8,10,15,15,1,1008350065,0,76,987851,212217,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,312.7707704,5319.240065,8115300,10,0,835,834,23,5175,45.85200119,48.40444565,2.552444458,46.16835851,0.817483797,1061.872246 +835,MN,832,77,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,56 WEST 31 STREET,C6-4X, , , , , , , , , ,N,K4,4,0, ,THIRTY ONE PROPERTIES,1260,3340,3340,0,0,3340,0,0,0,0,2,1,3,0,1,20,63,20,63,E,3,N,5,2,337500,744300,0,0,1910,1986,0, , ,2.65,10,10,10,1,1008320077,0,76,987327,211644,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,171.6160901,1345.156716,406800,6,0,836,835,5,1125,43.25099945,43.25099945,0,43.25099945,0,216.2549973 +836,MN,280,25,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,13 MARKET STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,"13 MARKET STREET, INC",2250,9375,1875,7500,0,1875,0,0,0,0,2,1,5,17,19,25,90,25,74, ,1,N,5,2,153000,1148400,0,0,1900,0,0, , ,4.17,3.44,6,6.5,1,1002800025,0,8,985697,199184,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,239.1647199,2458.191382,995400,16,0,837,836,9,2025,33.6277771,35.39655685,1.768779755,34.63259252,0.421845491,311.6933327 +837,MN,392,45,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,635 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JASPER PAUL ASSOCIATE,2768,14400,0,14400,0,0,0,0,0,0,2,1,6,24,24,30,92.25,30,80, ,2,N,5,2,270000,1441350,0,0,1900,1988,1997, , ,5.2,4,0,4,1,1003920045,0,28,990155,203712,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,248.9719637,2781.764002,1171350,12,1,838,837,14,3150,7.576999664,7.598888874,0.02188921,7.578563179,0.005637333,106.0998845 +838,MN,293,7,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,20 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,M2,8,0,X,BUDDHIST ASSOCIATIONO,2202,8690,8690,0,0,0,0,0,0,8690,2,1,5,0,1,25.25,87.5,25,85,E,3,N,5,2,297000,855000,297000,855000,1900,1980,0, , ,3.95,3.44,6,6.5,1,1002930007,0,16,986086,199734,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,237.0508633,2440.167222,558000,16,0,839,838,12,2700,41.23199844,43.52999878,2.298000336,41.42349847,0.63513374,497.0819817 +839,MN,399,39,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,197 EAST 3 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0,P,NPE3 LLC,2212,7803,600,7203,0,600,0,0,0,0,2,1,5,16,17,23,96.17,23,66, ,3,N,5,2,445500,962550,0,0,1900,0,0, , ,3.53,4,0,4,1,1003990039,0,32,988904,202690,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.1214306,2478.520248,517050,1,0,840,839,12,2700,18.04222298,18.04222298,0,18.04222298,0,216.5066757 +840,MN,553,14,102,63,5001,2,1,10011,E033,6,15,5700,1,2,3A,56 WEST 8 STREET,C4-5,R6, , , , ,LC, , , ,Y,K1,5,0, ,RETURN TO HOME CO.,3942,3602,3602,0,0,3602,0,0,0,0,2,1,1,0,2,24.33,138.75,24.33,138, ,3,Y,5,2,327150,626850,0,0,1937,1980,0,Greenwich Village Historic District, ,0.91,3.44,3.4,6.5,1,1005530014,0,63,984472,206326,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,352.4298509,3938.989142,299700,8,0,841,840,18,4050,17.50333405,17.50333405,0,17.50333405,0,315.0600128 +841,MN,393,1,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,159 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D5,3,0,P,HUNTINGTON HOUSE HDFC,6603,31267,1800,29467,1800,0,0,0,0,0,2,2,6,28,29,71,93,71,93, ,0,N,3,5,427500,3347100,427500,3347100,1908,1993,0, , ,4.74,4,0,4,1,1003930001,0,28,989916,204113,12c, ,102 022,10203, ,1003930001,1/7/1991,1, , ,17V1.1,0,336.9562534,6967.294898,2919600,12,1,842,841,30,6750,9.383999825,13.51333332,4.129333496,9.593281333,0.823733653,287.79844 +842,MN,833,20,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,35 WEST 31 STREET,C6-4,C6-6, , , , ,MID, , , ,Y,L1,6,0, ,JAY CEE OF NEW YORKCO,3292,32500,32500,0,2750,2925,0,8250,18575,0,2,1,11,0,19,33.33,98.75,33,99, ,3,N,5,2,765000,2418300,0,0,1904,1987,0, , ,9.87,10,10,10,1,1008330020,0,76,987715,211587,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,269.7635454,3392.973957,1653300,10,0,843,842,15,3375,41.76111221,41.76111221,0,41.76111221,0,626.4166832 +843,MN,754,9,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,359 WEST 30 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,359-361 W 30TH ST OWN,1777,3505,0,3505,0,0,0,0,0,0,2,1,3,6,6,18,98.75,18,44, ,3,N,5,1,66704,285610,2295,2295,1920,1973,0, , ,1.97,4,0,4,1,1007540009,0,103,984955,212816,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,251.9466895,1959.011551,218906,6,0,844,843,9,2025,33.70700073,40.57110977,6.864109039,34.46967951,2.157181355,310.2271156 +844,MN,754,18,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,341 WEST 30 STREET,R8B, , , , , , , , , ,N,HH,5,0, ,PR 341 WEST 30 LLC,2271,3748,0,0,0,0,0,0,0,0,2,1,4,0,1,23,98.75,23,39, ,3,N,5,2,540000,824850,0,0,1920,0,0, , ,1.65,4,0,4,1,1007540018,0,103,985114,212728,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,263.6307213,2588.776214,284850,6,0,845,844,11,2475,33.70700073,40.85111237,7.144111633,37.33385953,2.593790373,410.6724548 +845,MN,619,67,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,192 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,FIFTY THIRD GROUP LLC,6730,25955,500,25455,0,500,0,0,0,0,2,3,5,27,27,50.67,186,50,88, ,2,Y,4,5,405000,3636450,0,0,1910,1985,0,Greenwich Village Historic District, ,3.86,2.43,0,4.8,1,1006190067,0,73,983295,206652,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,486.4646004,7103.777086,3231450,9,0,846,845,33,7425,23.46111107,26.03888893,2.577777863,23.73687542,0.691366124,783.3168888 +846,MN,720,24,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,447 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,"158 EASTMAN, LLC",1975,4935,0,4935,0,0,0,0,0,0,2,1,5,7,7,20,98.75,20,54,E,3,N,5,2,80956,375969,0,0,1900,1987,0,Chelsea Historic District Extension, ,2.5,3,0,3,1,1007200024,0,93,983375,211300,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,231.0104979,2003.73365,295013,2,1,847,846,9,2025,9.369999886,10.2211113,0.851111412,9.62753084,0.367393645,86.64777756 +847,MN,745,55,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,332 WEST 22 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,AEGEAN ENTERPRISES IN,2098,4843,0,4843,0,0,0,0,0,0,2,1,3,4,4,21.25,98.75,21,56,E,3,N,5,5,256828,430062,0,0,1900,1970,0,Chelsea Historic District Extension, ,2.31,3,0,3,1,1007450055,0,89,984109,210712,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,242.874344,2198.850738,173234,7,0,848,847,10,2250,15.97222233,18.32999992,2.357777596,16.22138872,0.70298374,162.2138872 +848,MN,569,30,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,27 EAST 11 STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,27 EAST 11TH STREET N,2583,8562,0,8562,0,0,0,0,0,0,2,1,5,1,1,25,103.25,25,58,E,3,N,5,2,291713,613049,0,0,1900,2014,0,Greenwich Village Historic District, ,3.31,3.44,0,6.5,1,1005690030,0,61,985996,206589,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,255.9321308,2376.819005,321336,8,0,849,848,12,2700,34.37900162,34.37900162,0,34.37900162,0,412.5480194 +849,MN,698,6,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,549 WEST 26 STREET,M1-5, , , , , ,WCH, , , ,N,O5,5,0,P,CIRCLE 1 LLC,9875,51350,51350,0,41750,9600,0,0,0,0,2,2,6,0,2,100,98.75,100,99, ,3,N,5,0,688500,6848550,0,0,1940,1983,0,West Chelsea Historic District, ,5.2,0,5,6.5,1,1006980006,0,99,982924,212767,8b, ,105S004,10301, ,0, ,1,1,1,17V1.1,0,410.7336332,10533.69928,6160050,2,1,850,849,47,10575,8.930000305,11.74444389,2.814443588,9.887290589,0.311292457,464.7026577 +850,MN,16,7506,101,317.04,3002,2,1,10280,E010,1,15,8900,1,1, ,280 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,SOUNDINGS CONDOMINIUM,15000,81667,502,81165,0,502,0,0,0,0,2,1,9,121,122,174.28,103,0,0, ,0,Y,5,5,2378698,15464243,2378698,15464243,1985,0,0, , ,5.44,0,0,0,1,1000167506,398,31704,979576,197463,12b, ,101S089,10101, ,1000160055,11/30/1987,1, , ,17V1.1,7,643.1817571,16382.54974,13085500,15,1,851,850,72,16200,12.04399967,14.25444412,2.21044445,12.33859539,0.633546713,888.3788681 +851,MN,858,1,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,251 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,PROFILE ENTERPRISES 3,7425,48535,48535,0,41535,7000,0,0,0,0,2,2,7,0,24,49.58,125,50,125, ,0,Y,3,5,1350000,5046300,0,0,1916,0,0,Madison Square North Historic District, ,6.54,10,10,10,1,1008580001,0,74,987903,210571,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,464.5269151,8283.238977,3696300,11,0,852,851,38,8550,38.89199829,42.19333267,3.301334381,39.1520979,0.831436356,1487.77972 +852,MN,567,16,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,20 EAST 10 STREET,R7-2, , , , , , , , , ,N,A9,1,0, ,TENTH STREET OWNER LL,2307,5178,0,5178,0,0,0,0,0,0,2,1,4,1,1,25,92.25,25,57,E,3,N,5,1,265512,543674,0,0,1900,2001,0,Greenwich Village Historic District, ,2.24,3.44,0,6.5,1,1005670016,0,59,985780,206244,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,243.6988107,2480.138435,278162,8,0,853,852,11,2475,29.25900078,32.43777847,3.178777695,30.00725313,1.253349061,330.0797844 +853,MN,467,54,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,215 EAST 11 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,"ARONOFSKY, DARREN",1275,2850,0,2850,0,0,0,0,0,0,2,1,4,1,1,12.75,100,12.75,60, ,2,N,5,2,25247,85405,0,0,1899,2005,2006, , ,2.24,4,0,4,1,1004670054,0,40,987670,205660,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,237.1240258,1459.799577,60158,12,0,854,853,7,1575,28.52666664,34.63666534,6.109998703,30.82238116,2.681138674,215.7566681 +854,MN,468,44,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,235 EAST 12 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,235 E. 12 REALTY LLC,2530,8240,0,8240,0,0,0,0,0,0,2,1,5,20,20,24.5,103.25,25,66, ,3,N,5,2,196200,990000,0,478407,1920,2001,0, , ,3.26,4,0,4,1,1004680044,0,40,988042,205760,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,261.1060459,2586.434883,793800,12,0,855,854,11,2475,28.72333336,29.43199921,0.708665848,29.36757504,0.203727107,323.0433254 +855,MN,189,29,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,26 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,G1,10,0, ,20-26 NORTH MOORE STR,1648,1606,1606,0,0,0,1606,0,0,0,2,1,1,0,1,18.83,87.5,19,86, ,3,N,5,0,103950,202500,0,0,1920,0,0,Tribeca West Historic District, ,0.97,6.02,6,6.5,1,1001890029,0,33,982175,201461,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,227.8997857,1841.751167,98550,14,1,856,855,8,1800,10.17444515,14.62555599,4.45111084,10.73083401,1.472066543,85.84667206 +856,MN,555,124,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,90 EAST 10 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,ELK MAS 90 EAST 10TH,1874,3166,2016,1150,866,1150,0,0,0,0,2,1,3,2,7,20,93,20.24,72, ,3,Y,5,1,233100,1166400,0,0,1900,0,0, , ,1.69,6.02,6,6.5,1,1005550124,0,42,987090,205519,12c, ,102 017,10207,E-254,1005550021,12/19/1986,1, , ,17V1.1,0,225.6631743,1747.992243,933300,12,0,857,856,9,2025,38.18777847,38.18777847,0,38.18777847,0,343.6900063 +857,MN,586,30,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,27 CARMINE STREET,R6, , , , , , , , , ,N,M9,8,0,X,PIOUS SOC MISSIONARIE,2500,16926,16926,0,16926,0,0,0,0,0,2,1,5,0,3,25,100,25,59.32, ,2,N,5,2,387450,1213650,387450,1213650,1967,0,0,Greenwich Village Historic District Exte, ,6.77,2.43,0,4.8,1,1005860030,0,67,983402,205378,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,250.9293548,2549.345749,826200,9,0,858,857,11,2475,15.38333321,17.06666565,1.683332443,15.63404014,0.515159382,171.9744415 +858,MN,410,34,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,86 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,ORDELA LLC,2437,4800,4800,0,0,2400,0,0,0,2400,2,1,2,0,3,32.5,75,32.5,75, ,0,N,3,2,666000,1203300,0,0,1900,0,0, , ,1.97,6.02,6,6.5,1,1004100034,0,18,987162,201325,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,226.9002009,2722.0191,537300,13,0,859,858,13,2925,33.47900009,36.55555725,3.076557159,33.90633363,1.009019597,440.7823372 +859,MN,851,41,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,304 PARK AVENUE SOUTH,C6-4M, , , , , , , , , ,N,O6,5,0,P,304 PAS OWNER LLC,15750,183815,183815,0,158815,25000,0,0,0,0,2,1,12,0,52,83.25,175,83.25,175, ,0,Y,3,2,9135000,30387600,0,0,1930,0,0, , ,11.67,10,10,10,1,1008510041,0,56,987862,208932,8d, ,104 003,10306, ,0, ,1, , 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CORP,2272,10698,0,10698,0,0,0,0,0,0,2,1,6,14,14,25,90.83,25,78, ,2,N,5,2,135000,958500,52108,52108,1930,1980,0, , ,4.71,4,0,4,1,1003890017,0,2602,989670,203237,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,232.1873777,2282.540258,823500,12,1,865,864,10,2250,7.700000286,11.58333302,3.883332729,8.841577911,1.542257209,88.41577911 +865,MN,445,18,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,104 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,MPA HOLDINGS LLC C/O,3606,18516,0,18516,0,0,0,0,0,0,2,1,5,28,28,37.5,96.17,38,80, ,3,N,5,1,499500,2037600,0,0,1900,1999,2005, , ,5.13,4,0,4,1,1004450018,0,38,987433,203619,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,273.1611339,3716.363596,1538100,1,0,866,865,17,3825,29.97444344,33.44444275,3.469999313,30.36607754,1.073625672,516.2233181 +866,MN,492,20,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,226 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,T & C PROPERTIES INC,4951,27571,14100,13471,4700,9400,0,0,0,0,2,1,8,8,11,50.25,98.42,50,94, ,3,Y,5,2,558000,3683700,0,0,1920,2003,2006, , ,5.57,3.44,6,6.5,1,1004920020,0,43,986000,202416,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,309.3315616,5246.798478,3125700,0,0,867,866,23,5175,39.76666641,41.27999878,1.513332367,39.83246347,0.308615565,916.1466599 +867,MN,850,56,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,32 EAST 22 STREET,M1-5M, , , , , , , , , ,N,O5,5,0, ,"SR 3222, LLC",2601,8900,5550,3350,5550,0,0,0,0,0,2,1,5,2,3,26.25,98.75,27,82,E,3,N,5,1,315000,974250,0,0,1920,1997,0, , ,3.42,0,5,6.5,1,1008500056,0,56,987576,208792,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,263.3673377,2865.686165,659250,11,0,868,867,13,2925,35.59999847,36.58666611,0.986667633,35.67589598,0.262916688,463.7866478 +868,MN,489,21,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,190 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,B9,1,0, ,SCHAPIRA CAROL,1667,2239,0,2239,0,0,0,0,0,0,2,1,4,2,2,16.67,100,16.67,40, ,2,N,3,2,13313,70334,0,0,1899,0,0,Sullivan-Thompson Historic District, ,1.34,3.44,0,6.5,1,1004890021,0,47,983366,203331,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,256.7276815,1806.312633,57021,0,1,869,868,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +869,MN,771,35,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,207 WEST 21 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,207-21 CHELSEA OWNERS,2469,5054,0,5054,0,0,0,0,0,0,2,1,4,6,6,25,98.75,25,64, ,3,N,5,1,94145,439948,34944,34944,1905,1986,0, , ,2.05,4,0,4,1,1007710035,0,87,985092,210050,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,249.3127016,2467.419727,345803,7,0,870,869,12,2700,22.40399933,26.77666664,4.372667313,23.70924012,1.885067679,284.5108814 +870,MN,629,39,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,71 8 AVENUE,C1-6, , , , , , , , , ,N,S5,4,0, ,"HERITAGE 11, LLC",2575,9760,3500,6260,0,2400,0,0,0,1100,2,1,4,6,7,25.75,100,26,100,E,3,N,5,2,201855,562472,0,0,1910,0,0,Greenwich Village Historic District, ,3.79,3.44,2,6.5,1,1006290039,0,77,983385,208690,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,262.4990278,2758.34252,360617,8,0,871,870,12,2700,16.45777702,16.45777702,0,16.45777702,0,197.4933243 +871,MN,293,17,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,9 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,BOK YEE BUDDHIST TEMP,2188,8860,1750,7110,0,1750,0,0,0,0,2,1,5,16,17,25.08,87.5,25,75, ,3,N,5,2,148500,595350,0,0,1900,1989,0, , ,4.05,3.44,6,6.5,1,1002930017,0,16,986180,199724,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,231.7591691,2289.382786,446850,16,0,872,871,9,2025,38.23899841,38.23899841,0,38.23899841,0,344.1509857 +872,MN,902,42,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,228 EAST 22 STREET,R8A, , , , , , , , , ,N,C5,2,0, ,MALKO EQUITIES LLC,1547,6215,0,6215,0,0,0,0,0,0,2,1,5,8,8,15.67,98.75,16,75, ,3,N,5,2,83091,391998,0,0,1900,0,0, , ,4.02,6,0,6,1,1009020042,0,64,989121,207935,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,231.2667223,1670.936269,308907,11,0,873,872,7,1575,19.86555672,19.86555672,0,19.86555672,0,139.058897 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R,1800,5280,1600,3680,0,1600,0,0,0,0,2,1,4,6,7,20.92,86,21,85,E,3,N,5,1,112731,449590,0,0,1940,1959,0,Ladies' Mile Historic District, ,2.93,0,5,6.5,1,1008490023,0,52,987307,208536,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,224.6203148,1942.498333,336859,7,0,875,874,8,1800,34.69888687,34.69888687,0,34.69888687,0,277.591095 +875,MN,817,29,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,6 WEST 16 STREET,C6-2M, , , , , , , , , ,N,D4,3,0, ,AKAM ASSOCIATES,45223,403741,26314,377427,0,0,26314,0,0,0,2,2,14,481,483,238,206.5,238,70, ,3,Y,4,2,6294150,35679600,864540,864540,1964,1990,0, , ,8.93,6.02,6,6.5,1,1008170029,0,54,985951,207943,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,900.3292929,46447.63447,29385500,7,0,876,875,208,46800,30.80200005,35.44355392,4.641553879,31.59296795,1.307440538,6571.337334 +876,MN,784,47,105,109,1005,2,3,10123,E026,14,15,5200,1,5,1H,458 7 AVENUE,M1-6, , , , , ,GC, , , ,N,K2,5,0, ,"KAILASH PARTNERS, LLC",1205,2243,2243,0,0,2243,0,0,0,0,2,1,2,0,2,24.75,50,24.75,50, ,3,N,5,2,424800,2053350,0,0,1920,0,0, , ,1.86,0,10,10,1,1007840047,0,109,986886,213107,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,145.9516092,1188.574673,1628550,6,0,877,876,6,1350,34.68444443,34.68444443,0,34.68444443,0,208.1066666 +877,MN,233,30,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,22 HOWARD STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,5 CROSBY STREET INC.,9424,53200,53200,0,44200,9000,0,0,0,0,2,1,6,0,50,75.08,117,75,115, ,3,Y,5,2,828000,10318950,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,5.65,0,5,6.5,1,1002330030,0,45,984193,201458,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,448.7702037,10126.34601,9490950,0,0,878,877,43,9675,17.40800095,17.58377838,0.175777435,17.41208879,0.026492279,748.7198181 +878,MN,505,16,102,37,3004,2,3,10013,E024,1,15,6800,1,2,1B,26 VANDAM STREET,M1-6, , , , , ,HSQ, , , ,N,C1,2,0,P,"26 VANDAM OWNER, LLC",2500,9385,0,9385,0,0,0,0,0,0,2,1,5,21,21,25,100,25,86, ,3,N,5,2,191250,1483650,0,0,1900,2013,0, , ,3.75,0,10,10,1,1005050016,0,37,982908,203823,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,266.5778574,2565.886133,1292400,0,0,879,878,11,2475,22.38699913,24,1.61300087,22.53363557,0.463705147,247.8699913 +879,MN,199,7501,103,29,2001,2,1,10013,E009,5,15,7700,1,3, ,210 CANAL STREET,C6-1G, , , , , , , , , ,N,RC,5,0, , ,7468,48208,48208,0,35537,12671,0,0,0,0,2,1,6,0,54,0.17,0,0,0, ,0,N,0,5,1124107,5487754,0,0,1920,0,0, , ,6.46,3.44,6,6.5,1,1001997501,976,29,984538,200489,12c, ,100 000,10105, ,1001990014,7/18/1997,1, , ,17V1.1,7,366.375156,8262.346247,4363650,14,0,880,879,36,8100,22.37599945,29.51666641,7.140666962,23.1350797,2.042229684,832.8628693 +880,MN,722,15,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,441 WEST 24 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"MILLMAN, DEBORAH S",2057,3760,0,2740,0,0,0,0,0,0,2,1,3,2,2,20.83,98.75,20.83,42, ,3,N,5,1,137315,178612,0,0,1910,2014,0, ,441 WEST 24TH STREET HOUSE,1.83,3,0,3,1,1007220015,0,93,983570,211822,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,245.8172264,2060.642098,41297,2,1,881,880,10,2250,10.68099976,11.63444424,0.953444481,10.80674419,0.290405868,108.0674419 +881,MN,56,15,101,13,1003,2,1,10006,E010,1,15,7700,1,1, ,148 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,Z9, ,0,P,LOWER MANHATTAN DEVEL,16032,0,0,0,0,0,0,0,0,0,7,1,0,0,0,114.25,181.92,0,0, ,0,Y,3,5,2450250,2450250,2450250,2450250,0,0,0, , ,0,10,15,15,1,1000560015,0,13,980435,198080,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,639.9559814,17354.61664,0,3,1,882,881,78,17550,7.869999886,9.239999771,1.369999886,7.893219263,0.161301844,615.6711025 +882,MN,846,10,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,9 EAST 17 STREET,M1-5M, , , , , , , , , ,N,C4,2,0, ,TUGEN INDUSTRIES INC,2240,6988,0,6988,0,0,0,0,0,0,2,1,4,6,8,25,91.83,25,70, ,3,Y,5,1,118942,440490,0,0,1925,1982,0,Ladies' Mile Historic District, ,3.12,0,5,6.5,1,1008460010,0,52,986669,208057,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,245.7011334,2451.719085,321548,7,0,883,882,12,2700,39.36555481,39.36555481,0,39.36555481,0,472.3866577 +883,MN,692,47,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,522 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,K1,5,0, ,GARFIELD LESLIE J,9200,9200,9200,0,0,9200,0,0,0,0,2,1,1,0,1,100,92,100,92, ,3,N,5,0,1350000,2923650,0,0,1933,0,0, , ,1,0,5,6.5,1,1006920047,0,99,982448,211339,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,381.925161,9103.894972,1573650,7,1,884,883,40,9000,6.691111088,7.123000145,0.431889057,7.106475139,0.075514413,284.2590055 +884,MN,162,48,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,16 DOYERS STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,CAI NONG,665,1995,1330,665,0,1330,0,0,0,0,2,1,2,2,4,26.33,26,26,26, ,3,Y,5,0,58950,186300,0,0,1920,0,0, , ,3,3.44,6,6.5,1,1001620048,0,29,984798,199621,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,115.4700868,787.2962829,127350,14,0,885,884,3,675,39.70399857,39.70399857,0,39.70399857,0,119.1119957 +885,MN,461,42,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,229 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,229 EAST 5TH STREET L,2425,9245,0,9245,0,0,0,0,0,0,2,1,5,10,10,25,97,25,76, ,3,N,5,2,40772,162637,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.81,4,0,4,1,1004610042,0,38,987106,204263,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,251.3495915,2480.624946,121865,1,0,886,885,11,2475,36.55199814,38.31555557,1.763557434,36.71232154,0.506987116,403.835537 +886,MN,482,30,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,214 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,S1,4,0, ,214 LAFAYETTE HOUSE L,2502,15000,2375,12625,0,2375,0,0,0,0,2,1,6,1,2,25,100.08,25,98, ,3,N,5,5,333744,1353249,0,0,1909,0,0, , ,6,0,5,6.5,1,1004820030,0,45,984836,202275,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,262.4550705,2703.013172,1019510,0,0,887,886,12,2700,30.94300079,31.56266785,0.619667053,30.99463971,0.171266926,371.9356766 +887,MN,437,27,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,153 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0,P,153 AVENUE A ASSOCIAT,2976,8122,1000,7122,0,1000,0,0,0,0,2,2,4,30,31,26.33,113,26,49, ,3,N,5,0,211050,1613700,0,0,1900,0,0, , ,2.73,4,0,4,1,1004370027,0,34,989045,204412,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,283.0928253,2997.801661,1402650,12,0,888,887,13,2925,17.51666641,19.04999924,1.533332825,17.69538439,0.443759246,230.0399971 +888,MN,220,7506,101,33,3003,2,1,10013,L008,1,15,7700,3,1, ,46 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2500,11110,308,10802,0,0,308,0,0,0,2,1,6,3,4,25,100,25,100, ,0,N,0,5,136636,797143,0,0,1910,0,0, , ,4.44,6.02,6,6.5,1,1002207506,2250,33,982072,202381,12a, ,101N042,10105, ,1002200035,2/16/2016,1, , ,17V1.1,7,253.894859,2661.837616,660507,0,1,889,888,11,2475,11.22399998,11.22399998,0,11.22399998,0,123.4639997 +889,MN,202,12,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,160 CANAL STREET,C6-1G, , , , , , , , , ,N,S9,4,0, ,CANBETH REALTY CORP,1900,5379,1500,3879,0,1500,0,0,0,0,2,1,3,4,6,37.5,50.67,36,51,E,2,N,3,5,191896,463372,0,0,1910,0,0, , ,2.83,3.44,6,6.5,1,1002020012,0,29,985092,200247,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,185.1260726,2086.434899,271476,14,0,890,889,9,2025,42.4090004,43.37555695,0.966556549,42.71159278,0.397244442,384.404335 +890,MN,607,50,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,109 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"BLANK, JARED",1665,4060,0,3000,0,0,0,0,0,0,2,1,3,1,1,20,83.25,20,53,E,3,N,5,1,49437,186692,1550,1550,1899,2003,0,Greenwich Village Historic District, ,2.44,2.43,0,4.8,1,1006070050,0,71,984620,207340,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,207.4711945,1695.067088,137255,8,0,891,890,7,1575,21.80333328,22.51000023,0.706666946,21.95698411,0.25917372,153.6988888 +891,MN,444,20,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,62 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,62 64 E 3RD STREET HD,1900,2748,0,2748,0,0,0,0,0,0,2,1,3,4,4,18.75,101.33,19,47,E,3,N,5,2,24040,70151,24040,28655,1910,0,0,East Village/Lower East Side Historic Di, ,1.45,4,0,4,1,1004440020,0,3602,987268,203419,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,247.967605,1985.463173,46111,1,0,892,891,8,1800,33.39555359,34.62555695,1.230003357,33.54930401,0.406785374,268.3944321 +892,MN,851,55,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,28 EAST 23 STREET,C6-4M, , , , , , , , , ,N,K1,5,0, ,28-34 EAST 23RD STRE,2469,2470,2470,0,0,2470,0,0,0,0,2,1,1,0,2,25,98.75,25,96,E,3,N,5,2,111150,1314900,0,0,1942,0,0, , ,1,10,10,10,1,1008510055,0,56,987619,209060,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,260.4752073,2703.613915,1203750,11,0,893,892,12,2700,32.49111176,32.49111176,0,32.49111176,0,389.8933411 +893,MN,633,8,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,338 WEST 11 STREET,R6,C1-6A, , , , , , , , ,Y,C4,2,0, ,CLOVER REALTY LLC C/O,4933,18965,0,18965,0,0,0,0,0,0,2,2,5,20,20,50.08,98.17,25,90, ,1,Y,5,1,585000,1802700,0,0,1900,0,0,Greenwich Village Historic District, ,3.84,2.43,0,4.8,1,1006330008,0,75,982071,207191,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,298.6153341,4922.838427,1217700,9,0,894,893,23,5175,15.33199978,17.88222122,2.550221443,15.75853642,0.476649445,362.4463377 +894,MN,809,3,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,425 7 AVENUE,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,UNITED PACIFIC DEVLP,1172,4373,4373,0,1259,3114,0,0,0,0,2,1,3,0,3,19.38,60.5,19.37,61, ,3,N,5,2,585000,1493100,0,0,1924,0,0, , ,3.73,10,15,15,1,1008090003,0,101,986818,212672,8d, ,105S024,10305, ,1008090003,8/17/2006,1, , ,17V1.1,0,168.8550822,1283.72434,908100,6,0,895,894,6,1350,40.10044479,41.24700165,1.146556854,41.05590884,0.427296511,246.335453 +895,MN,454,47,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,345 EAST 12 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,339-347 EAST 12TH STR,5163,21574,3596,17978,0,3596,0,0,0,0,2,1,6,37,40,50,103.25,50,90, ,3,N,5,2,675000,3388500,0,0,1920,1986,0, , ,4.18,4,0,4,1,1004540047,0,40,988701,205395,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,314.1127662,5352.813482,2713500,12,0,896,895,23,5175,22.37666702,23.96333313,1.586666107,22.50241578,0.409575116,517.555563 +896,MN,136,8,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,48 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,O2,5,0, ,PROMETHIUM REALTY COR,2506,12500,12500,0,12500,0,0,0,0,0,2,1,5,0,2,25,100.25,25,94, ,3,N,5,2,102600,586800,0,0,1900,1978,0,Tribeca South Historic District Extensio, ,4.99,7.52,6,7.5,1,1001360008,0,21,981809,199701,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,257.3123083,2621.787925,484200,3,0,897,896,12,2700,25.24200058,25.24200058,0,25.24200058,0,302.904007 +897,MN,448,14,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,60 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JOSEPH KABAN,2498,7711,0,7711,0,0,0,0,0,0,2,1,5,10,10,25,99.92,25,76, ,3,N,5,2,50763,203299,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,3.09,4,0,4,1,1004480014,0,38,987777,204282,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,257.9988592,2696.549551,152536,12,0,898,897,12,2700,27.1590004,31.11555672,3.95655632,28.41646338,1.477472004,340.9975605 +898,MN,746,78,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,368 WEST 23 STREET,C1-6A, , , , , , , , , ,N,D4,3,0, ,368 WEST 23RD ST APTS,2141,10426,3128,7298,0,3128,0,0,0,0,2,1,5,8,9,29,73.83,29,74,E,1,N,3,2,102208,936000,14160,14160,1900,1982,0, , ,4.87,4,2,4,1,1007460078,0,93,983897,211141,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,218.6370198,2329.156243,833792,2,0,899,898,9,2025,15.97222233,15.97222233,0,15.97222233,0,143.750001 +899,MN,490,21,102,47,1000,2,3,10013,L008,1,15,6800,1,2,1A,208 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,D0,3,0,P,TASHIKAN CORP,2747,16200,3608,12592,0,3608,0,0,0,0,2,1,6,6,7,37.33,100,37,98, ,3,Y,5,2,86718,921503,0,0,1900,1989,2009,Sullivan-Thompson Historic District, ,5.9,3.44,0,6.5,1,1004900021,0,47,983177,203508,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,265.3927163,3149.681386,834785,0,0,900,899,13,2925,15.65555573,20.75555611,5.100000381,16.23948728,1.461899275,211.1133347 +900,MN,562,24,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,797 BROADWAY,C6-1,R7-2, , , , , , , , ,Y,O5,5,0, ,799 BROADWAY OWNER LL,19575,97500,97500,0,86250,11250,0,0,0,0,2,1,6,0,180,75.58,199.58,75.66,199, ,3,Y,3,2,2380500,12114900,0,0,1940,1985,0, , ,4.98,3.44,6,6.5,1,1005620024,0,61,986519,206123,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,620.995128,21031.64799,9734400,8,0,901,900,94,21150,34.39444351,42.39111328,7.996669769,35.04009965,2.021463245,3293.769367 +901,MN,152,31,101,33,1007,2,1,10007,L001,1,15,7700,1,1,3A,319 BROADWAY,C6-4A, , , , , , , , , ,N,D7,4,0,P,319 BWAY LLC,2629,13156,1735,11421,0,1735,0,0,0,0,2,1,5,8,9,24.92,105.67,25,106, ,2,Y,3,2,517500,1299600,0,0,1910,1980,2014, ,319 BROADWAY BUILDING,5,10,10,10,1,1001520031,0,33,982809,200119,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,276.2576824,3032.152402,782100,14,0,902,901,14,3150,30.71888924,33.97777557,3.258886337,30.97165094,0.836838306,433.6031132 +902,MN,642,42,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,92 HORATIO STREET,C4-4A, , , , , , , , , ,N,D4,3,0, ,HORATIO ARMS INC,11177,44385,0,44385,0,0,0,0,0,0,2,1,5,76,76,125,93.83,75,85, ,0,Y,3,5,868500,4809150,78481,78481,1920,1970,0,Greenwich Village Historic District, ,3.97,4,4,4,1,1006420042,0,79,982075,208339,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,446.4792282,12182.73723,3940650,8,1,903,902,49,11025,10.79777813,14.32111073,3.523332596,11.01927469,0.798663116,539.9444599 +903,MN,124,24,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1Q,250 BROADWAY,C5-3,C6-4, , , , ,LM, , , ,Y,O4,5,0,P,250 BROADWAY ASSOCIAT,23773,541195,541195,0,516195,25000,0,0,0,0,2,1,30,0,36,151.5,162.5,150,162, ,3,Y,3,2,5535000,56715300,0,0,1964,0,0, , ,22.77,10,15,15,1,1001240024,0,21,982084,199033,12b, ,101S018,10104, ,0, ,1, , 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INC,2469,7000,0,7000,0,0,0,0,0,0,2,1,4,15,15,25,98.75,25,70, ,3,Y,5,1,112500,731700,0,0,1920,1988,0, , ,2.84,3,0,3,1,1007450013,0,89,983913,210705,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,254.0737422,2469.01766,619200,7,0,906,905,12,2700,15.97222233,18.67333221,2.701109886,16.56114817,0.982137325,198.733778 +906,MN,623,42,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,288 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"JACKSON, MICHAEL",1200,3664,0,3000,0,0,0,0,0,0,2,1,3,1,1,20,60,20,42, ,2,Y,5,1,126521,416630,1550,1550,1910,2009,0,Greenwich Village Historic District, ,3.05,2.43,0,4.8,1,1006230042,0,77,983197,207585,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,167.5506851,1260.368583,290109,8,0,907,906,7,1575,23.62700081,27.10666656,3.479665756,25.03831782,1.402183611,175.2682247 +907,MN,806,54,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,120 WEST 31 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,MONTANA BAY INC,5100,32540,32540,0,25540,3000,0,0,0,4000,2,1,7,0,6,40,123.58,40,100, ,0,Y,5,5,450000,1390500,0,0,1920,0,0, , ,6.38,0,10,10,1,1008060054,0,101,986933,211831,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,330.7288378,4954.901095,940500,6,0,908,907,22,4950,37.55799866,40.96111298,3.403114319,37.98746352,1.059830218,835.7241974 +908,MN,719,38,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,401 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,S1,4,0, ,"SHORE, JACOBUS, SANDR",2660,4050,1000,3050,0,1000,0,0,0,0,2,2,2,1,2,44.33,60,28,36, ,3,N,3,5,59757,165888,0,0,1910,0,0,Chelsea Historic District, ,1.52,3,0,3,1,1007190038,0,89,983578,210859,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,212.8522353,2760.281454,106131,7,1,909,908,11,2475,9.307999611,17.09222221,7.784222603,11.89216128,3.428003871,130.8137741 +909,MN,372,8,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,270 EAST 3 STREET,R7A, , , ,C2-5, , , , , ,N,K4,4,0,P,FAIRFAX MANAGEMENT CO,2021,4059,3113,946,0,2640,0,0,0,0,2,4,2,3,6,23.25,86.92,24,67, ,3,N,3,2,181800,307800,0,0,1910,1989,0, , 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,105S005,10302, ,0, ,1, ,1,17V1.1,0,252.1912261,2429.551893,416192,2,1,912,911,11,2475,9.369999886,11.48666668,2.116666794,9.619696877,0.617277306,105.8166656 +912,MN,448,22,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,76 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,76-80 EAST 7TH STREET,3406,13837,2925,10912,0,2925,0,0,0,0,2,1,6,22,25,37.5,90.83,38,76, ,3,N,5,2,359100,1179450,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.06,4,0,4,1,1004480022,0,38,987960,204185,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,266.494566,3610.955916,820350,12,0,913,912,15,3375,27.1590004,28.15666771,0.997667313,27.24840787,0.249011838,408.7261181 +913,MN,745,18,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,331 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,331-5 W 21 STREET COR,2469,10500,0,10500,0,0,0,0,0,0,2,1,5,15,15,25,98.75,25,86, ,3,N,5,2,54900,937350,24406,24406,1900,1988,0, , ,4.25,3,0,3,1,1007450018,0,89,984023,210644,8d, ,103 038,10303, ,0, ,1, , 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EAST SIXTH ST ETC,2425,6935,0,6935,0,0,0,0,0,0,2,1,5,8,8,25,97,25,54, ,0,N,5,5,114285,507175,114285,507175,1900,1994,0, , ,2.86,3,0,3,1,1004010026,0,32,989098,203274,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,249.4591815,2611.182672,392890,1,0,943,942,12,2700,14.77200031,15.96666622,1.194665909,15.02992614,0.461264954,180.3591137 +943,MN,846,22,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,863 BROADWAY,C6-4, , , , , ,US, , , ,N,S2,4,0, ,863 BROADWAY LLC,1902,6915,2001,4275,0,2001,0,0,0,0,2,1,5,2,3,23,85.25,23,87,E,3,Y,5,4,57188,201744,0,0,1905,2004,0,Ladies' Mile Historic District, ,3.64,10,10,10,1,1008460022,0,52,986888,207972,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,225.5547405,1946.656704,144556,7,0,944,943,10,2250,39.36555481,44.51333618,5.147781372,39.88033295,1.544334412,398.8033295 +944,MN,875,75,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,11 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,C0,2,0,P,"11 GRAMERCY PARK, 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LLC,2369,9070,0,9070,0,0,0,0,0,0,2,1,6,23,23,25,94.75,25,83, ,3,N,5,2,373050,1691550,0,0,1900,1988,0, , ,3.83,4,0,4,1,1004380050,0,34,988800,204746,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,250.6959396,2555.798868,1318500,12,0,947,946,12,2700,17.98900032,19.08666611,1.097665787,18.08047247,0.303378797,216.9656696 +947,MN,921,49,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,328 EAST 15 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,15TH ASSOCIATES LLC,2665,11964,0,11964,0,0,0,0,0,0,2,1,6,24,24,25.67,103.25,26,90, ,3,N,5,2,157500,1151550,0,0,1910,1986,0, , ,4.49,6,0,6,1,1009210049,0,48,988838,206097,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,262.5283042,2692.915053,994050,5,0,948,947,12,2700,21.21777725,23.50888824,2.291110992,21.40870317,0.633229626,256.904438 +948,MN,460,37,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,77 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,C7,4,0,P,77 SECOND LLC,4760,16230,2705,13525,0,2705,0,0,0,0,2,1,6,20,23,39.67,120,40,105, ,3,Y,5,2,338850,2215350,0,0,1920,1986,0,East Village/Lower East Side Historic Di, ,3.41,4,0,4,1,1004600037,0,38,987162,204017,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,328.700622,4020.236737,1876500,1,0,949,948,17,3825,35.65444565,35.65444565,0,35.65444565,0,606.125576 +949,MN,587,63,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,11 COMMERCE STREET,C2-6, , , , , , , , , ,N,C0,2,0, ,"BIRCHBY, BLAINE DUNHA",840,1959,0,1959,0,0,0,0,0,0,2,1,3,3,3,21,40,21,25, ,2,N,5,2,62572,136552,0,0,1899,2015,0,Greenwich Village Historic District, ,2.33,3.44,2,6.5,1,1005870063,0,67,983112,205934,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,123.8293053,853.4728997,73980,9,0,950,949,4,900,17.76222229,17.76222229,0,17.76222229,0,71.04888916 +950,MN,847,40,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,230 PARK AVENUE SOUTH,M1-5M, , , , , , , , , ,N,O6,5,0,P,230 PAS (RRPIII) LLC,24450,350000,350000,0,311200,13800,0,25000,0,0,2,1,13,0,20,131,200,130,198, ,3,Y,3,2,9450000,58718700,0,0,1900,1986,0, , ,14.31,0,5,6.5,1,1008470040,0,52,987364,208041,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,690.8569602,26722.09357,49268700,7,0,951,950,119,26775,36.35800171,41.1044426,4.746440887,36.69079885,0.923898265,4366.205063 +951,MN,193,26,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,35 WALKER STREET,C6-2A, , , , , , , , , ,N,L9,6,0, ,CORNICE LLC,1720,5169,5169,0,0,0,0,5169,0,0,2,1,3,0,3,22,86,22,87, ,3,N,5,2,134550,178205,0,0,1910,2016,2016,Tribeca East Historic District, ,3.01,6.02,6,6.5,1,1001930026,0,33,983096,201282,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,227.1954035,1945.055985,43655,14,0,952,951,9,2025,13.68111134,15.73111057,2.049999237,13.90888903,0.644252605,125.1800013 +952,MN,861,15,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,134 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,136 MADISON ASSOCIATE,18375,255447,255447,0,240339,15108,0,0,0,0,2,2,16,0,20,148.08,116.83,148,116,E,0,Y,3,5,8145000,30339900,0,0,1916,2008,2012, , ,13.9,10,10,10,1,1008610015,0,74,988554,211155,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,664.9283568,20101.097,22194900,10,0,953,952,89,20025,38.80799866,41.16777802,2.359779358,38.92296999,0.362036254,3464.144329 +953,MN,459,18,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,64 EAST 4 STREET,R8B, , , , , , , , , ,N,J7,5,0,P,CHOICIRCIATI CULTURAL,2633,7500,7500,0,0,0,0,0,0,7500,2,1,4,0,1,25,105.33,25,90, ,0,N,5,5,220500,450900,220500,450900,1920,1996,1996,East Village/Lower East Side Historic Di, ,2.85,4,0,4,1,1004590018,0,38,986845,203939,12c, ,102 009,10205,E-216,1004590014,1/3/1995,1, , ,17V1.1,0,265.6816347,2696.014161,230400,1,0,954,953,12,2700,35.86666489,37.99333191,2.126667023,36.04388714,0.587779714,432.5266457 +954,MN,695,40,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,235 10 AVENUE,C6-3A, , , , , ,WCH, , , ,N,GW,5,0, ,CRS REALTY ASSOC INC,2468,2468,2468,0,0,0,2468,0,0,0,2,1,1,0,1,24.67,100,24.67,100, ,2,N,3,0,157500,313650,0,0,1953,0,0, , ,1,7.52,6,7.5,1,1006950040,0,99,983121,211935,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,257.0028122,2686.64626,156150,2,1,955,954,12,2700,8.806666374,9.65755558,0.850889206,9.392064651,0.263628365,112.7047758 +955,MN,379,39,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,131 AVENUE D,R8B,R8A, , ,C1-5, , , , , ,Y,N9,8,0,P,HOUSING WORKS HOUSING,9698,14505,14505,0,0,0,0,0,0,14505,2,1,5,0,38,26,93,26,93, ,0,Y,3,5,1125000,5732550,1125000,5732550,1995,1998,0, , ,1.5,4,0,4,1,1003790039,0,28,990918,203281,12c, ,102 023,10202, ,1003790039,1/21/1998,1, ,1,17V1.1,0,528.4955182,10129.54733,4607550,12,1,956,955,44,9900,7.409999847,8.789444923,1.379445076,7.840783011,0.217722991,344.9944525 +956,MN,776,59,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,236 WEST 27 STREET,C6-2A, , , , , , , , , ,N,L1,6,0, ,236 WEST 27 LLC,7266,94331,94331,0,82931,0,0,0,0,11400,2,1,15,0,52,74.58,98.75,75,98,E,3,N,5,2,567000,6615000,0,0,1929,0,0, , ,12.98,6.02,6,6.5,1,1007760059,0,95,985423,211501,8d, ,105S010,10304,E-92,0, ,1, , ,17V1.1,0,358.8239075,7803.553965,6048000,2,0,957,956,33,7425,26.70400047,27.99600029,1.291999817,26.8191452,0.339323956,885.0317917 +957,MN,297,8,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,22 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,22 LUDLOW REALTY CORP,2195,8755,1555,7200,1555,0,0,0,0,0,2,1,5,10,11,25.08,87.5,25,71, ,2,N,5,2,148500,499500,0,0,1900,0,0, , ,3.99,6.02,6,6.5,1,1002970008,0,16,986871,199880,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.1879346,2378.301907,351000,13,0,958,957,11,2475,32.98300171,35.35111237,2.368110657,33.1982845,0.680783948,365.1811295 +958,MN,794,7501,104,87,1003,2,3,10011,L012,13,15,5600,1,4, ,130 WEST 19 STREET,C6-3A,C6-2A, , , , , , , , ,Y,R4,3,0, , ,13163,90401,0,90401,0,0,0,0,0,0,2,1,13,64,64,132.42,100,132,100, ,3,Y,0,5,675013,14854064,0,2853068,2005,0,0, , ,6.87,7.52,6,7.5,1,1007947501,1596,87,985299,209199,8d, ,103 029,10305,E-92,1007940055,12/18/2006,1, , ,17V1.1,7,463.3283606,13094.75222,14179100,7,0,959,958,58,13050,27.66555595,30.31222153,2.646665573,27.81054059,0.553508264,1613.011354 +959,MN,741,62,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,354 WEST 18 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,352-354 W. 18 REALTY,2300,8825,0,8825,0,0,0,0,0,0,2,1,5,16,16,25,92,25,78, ,3,N,5,2,98550,1084050,0,0,1910,0,0, , ,3.84,4,0,4,1,1007410062,0,83,983418,209967,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,241.5694985,2385.721324,985500,7,0,960,959,10,2250,15.59444427,16.06333351,0.468889236,15.6413332,0.140666771,156.413332 +960,MN,539,39,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,163 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K2,5,0,P,BLEECKER PLAZA REALTY,2500,5000,5000,0,2500,2500,0,0,0,0,2,1,2,0,2,25,100,25,100, ,2,N,5,2,242100,972900,0,0,1900,0,0,South Village Historic District, ,2,3.44,0,6.5,1,1005390039,0,65,984267,204801,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,255.7952843,2522.384427,730800,9,0,961,960,10,2250,25.23555565,25.23555565,0,25.23555565,0,252.3555565 +961,MN,925,38,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,337 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,"JANJACK PROPERTIES,",1840,5148,800,4348,0,800,0,0,0,0,2,1,4,6,7,23,80,23,80, ,3,N,5,2,139790,511526,0,0,1910,0,0, , ,2.8,4,2,4,1,1009250038,0,64,989689,207010,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,213.7827729,1949.723717,371736,5,0,962,961,9,2025,15.27999973,15.35111141,0.071111679,15.28790103,0.022348245,137.5911093 +962,MN,779,43,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,356 7 AVENUE,M1-6, , , , , , , , , ,N,K9,5,0, ,CORNER REALTY 30/7 IN,1425,3990,3990,0,0,1400,0,2590,0,0,2,1,4,0,4,19,75,19,75,E,3,N,5,2,195750,1120950,0,0,1920,0,0, , ,2.8,0,10,10,1,1007790043,0,95,986223,211935,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,196.8572066,1509.143154,925200,6,0,963,962,7,1575,31.05999947,31.05999947,0,31.05999947,0,217.4199963 +963,MN,461,6,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,35 COOPER SQUARE,C6-1, , , , , , , , , ,N,H8,8,0,P,COOPER AND 6TH PROPER,4837,45082,4756,0,0,4756,0,0,0,0,2,1,13,0,56,72.54,80,72.54,60.08, ,1,Y,3,2,1604250,7466850,0,0,2014,2011,0, , ,9.32,3.44,6,6.5,1,1004610006,0,38,986844,204534,12c, ,102 018,10205, ,1004610006,5/4/2012,1, , ,17V1.1,0,320.4940316,5338.13599,5862600,1,0,964,963,23,5175,36.55199814,43.58333206,7.031333923,40.40751631,2.656283492,929.3728752 +964,MN,494,37,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,33 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S2,4,0, ,"SPRING CHARM, INC.",1082,3794,930,2864,0,930,0,0,0,0,2,1,4,2,3,18.5,58.5,18,55, ,3,Y,5,0,40120,192927,0,0,1920,2012,0, , ,3.51,6.02,6,6.5,1,1004940037,0,43,985459,202265,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,161.1186763,1081.048667,152807,0,0,965,964,6,1350,38.86500168,38.86500168,0,38.86500168,0,233.1900101 +965,MN,543,66,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,131 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,131 WEST 3RD STREET I,2650,13300,11320,1980,0,11320,0,0,0,0,2,2,6,2,3,23,100,23,86,E,3,Y,5,2,153900,1539000,0,0,1930,2008,0,South Village Historic District, ,5.02,3.44,0,6.5,1,1005430066,0,65,984073,205576,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,259.7237074,2833.718944,1385100,9,0,966,965,14,3150,18.49900055,20.53289032,2.033889771,18.71123069,0.559637403,261.9572296 +966,MN,39,4,101,7,1017,2,1,10005,E004,1,15,7700,1,1, ,80 WALL STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,OTTO GERDAU CO.,4179,50044,50044,0,41988,8056,0,0,0,0,2,1,12,0,54,49,76.08,49,76, ,3,Y,3,1,1161000,3785850,0,0,1905,0,0, , ,11.98,10,15,15,1,1000390004,0,7,982122,196353,12b, ,101S006,10101, ,0, ,1, ,1,17V1.1,0,312.5307086,4727.299025,2624850,17,1,967,966,21,4725,7.76222229,12.20222282,4.440000534,8.105862527,1.08983152,170.2231131 +967,MN,577,15,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,48 WEST 14 STREET,C6-2,C6-2M, , , , , , , , ,Y,H8,8,0, ,47 DEVELOPMENT LLC,9812,60930,8540,0,0,8540,0,0,0,0,2,3,9,65,67,45,206.5,45,206, ,3,Y,5,2,634500,10113750,0,0,1910,1985,2001, , ,6.21,6.02,6,6.5,1,1005770015,0,63,985311,207636,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,536.0589601,10450.74351,9479250,8,0,968,967,47,10575,29.80666542,30.09499931,0.288333893,30.08886455,0.041607992,1414.176634 +968,MN,924,28,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,347 EAST 18 STREET,R7B, , , , , , , , , ,N,N2,8,0,X,"MORAVIAN OPEN DOOR, I",3680,12740,12740,0,0,0,0,0,0,12740,2,1,4,31,32,40,92,40,90, ,3,N,5,1,281250,1061550,281250,1061550,1910,1987,0, , ,3.46,3,0,3,1,1009240028,0,48,989471,206785,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,271.9383295,3881.578751,780300,5,0,969,968,18,4050,14.83555603,16.13555527,1.299999237,14.90777821,0.297779676,268.3400078 +969,MN,896,23,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,231 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,D7,4,0,P,EAST 14 REALTY LLC,3963,17794,2500,15294,0,2500,0,0,0,0,2,1,6,17,21,50,79.25,50,68,E,3,N,3,2,276750,3273750,0,0,1910,1986,2011, , ,4.49,4,2,4,1,1008960023,0,48,988380,206198,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,266.5999576,4282.203268,2997000,12,0,970,969,20,4500,26.69333267,29.86800003,3.174667358,27.17378836,1.100508571,543.4757671 +970,MN,64,1,101,15.02,1008,2,1,10038,E004,1,15,7700,1,1,1B,51 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0, ,HCIN MAIDEN HOTEL ASS,2688,42012,1800,0,0,1800,0,0,0,0,2,2,20,0,2,21.67,85,22,85, ,0,Y,3,2,3132000,9621000,0,0,2006,0,0, , ,15.63,10,15,15,1,1000640001,0,1502,981679,197602,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,310.2894798,2915.905766,6489000,4,0,971,970,12,2700,24.73500061,25.99699974,1.26199913,25.26928743,0.463527847,303.2314491 +971,MN,836,7,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,43 WEST 34 STREET,C5-3,C6-6, , , , ,MID, , , ,Y,O6,5,0, ,41 WEST 34TH STREET L,7900,89582,89582,0,80082,9500,0,0,0,0,2,1,12,0,21,50,197.5,50,192, ,3,Y,4,2,3366000,12724650,0,0,1907,0,0, , ,11.34,10,15,15,1,1008360007,0,76,987893,212454,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,526.6087146,8464.7595,9358650,10,0,972,971,37,8325,48.34111023,49.62900162,1.287891388,49.59419374,0.208847252,1834.985168 +972,MN,764,31,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,213 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C7,4,0, ,213 WEST 14TH STREETC,3000,8125,1700,6425,0,1700,0,0,0,0,2,1,5,8,10,25,120,25,68, ,3,N,5,2,82394,387318,0,0,1920,0,0, , ,2.71,6.02,6,6.5,1,1007640031,0,81,984203,208548,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,308.3914248,3219.484206,304924,7,0,973,972,14,3150,24.42199898,26.46222305,2.040224075,25.0471423,0.802366706,350.6599922 +973,MN,557,12,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,812 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,812-816 BROADWAY LLC,5857,27000,16200,10800,5400,5400,0,5400,0,0,2,1,5,8,12,50,115.92,50,108, ,3,Y,5,2,589500,3261600,0,0,1900,2009,0, , ,4.61,3.44,6,6.5,1,1005570012,0,61,986775,206200,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,341.5218613,5962.72764,2672100,8,0,974,973,27,6075,41.29888916,41.29888916,0,41.29888916,0,1115.070007 +974,MN,829,47,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,10 WEST 28 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,1170 BROADWAY ASSOCIA,2469,9763,3844,5919,0,3844,0,0,0,0,2,1,5,6,7,25,98.75,25,98, ,3,N,5,2,326700,747450,0,0,1930,1979,2013,Madison Square North Historic District, ,3.95,0,10,10,1,1008290047,0,58,987501,210644,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,254.6141937,2703.599018,420750,11,0,975,974,12,2700,40.15333176,42.48433304,2.331001282,40.34758186,0.64425472,484.1709824 +975,MN,771,38,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,188 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,D4,3,0, ,201 WEST 21 ST TENANT,7400,80977,6552,74425,0,6552,0,0,0,0,2,1,14,130,133,74,100,74,100, ,3,N,3,2,1156500,10524600,216239,216239,1963,1988,0, , ,10.94,6,0,6,1,1007710038,0,87,985141,210009,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,354.1940468,7672.632745,9368100,7,0,976,975,34,7650,22.40399933,27.67222214,5.268222809,22.55894706,0.89010694,767.0042 +976,MN,237,33,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,185 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,185 HESTER ST. LLC,2456,8845,2000,6845,0,2000,0,0,0,0,2,2,5,21,22,24.5,100.25,25,46, ,3,N,5,5,166500,543150,0,0,1900,1969,0, , ,3.6,6.02,6,6.5,1,1002370033,0,41,984956,200939,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.0330304,2645.878699,376650,0,0,977,976,13,2925,30.73800087,34.11999893,3.381998062,32.37341,0.716891403,420.8543301 +977,MN,921,40,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,346 EAST 15 STREET,R8A, , , , , , , , , ,N,C5,2,0, ,346 EAST 15 LLC,2168,5208,0,5208,0,0,0,0,0,0,2,1,4,8,8,21,103.25,21,64, ,3,N,5,2,78657,335448,0,0,1910,0,0, , ,2.4,6,0,6,1,1009210040,0,48,989010,206001,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,254.0634626,2229.430003,256791,5,0,978,977,10,2250,21.21777725,21.21777725,0,21.21777725,0,212.1777725 +978,MN,362,10,103,24,1005,1,2,10009,L011,9,14,6300,1,3,4A,132 AVENUE D,R7-2, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,192650,380833,0,380833,0,0,0,0,0,0,2,6,14,461,461,493.58,422.25,165.83,85.83, ,0,Y,3,5,6300000,25018650,6300000,25018650,1950,0,0, , ,1.98,3.44,0,6.5,1,1003620010,0,24,991249,202997,12c, ,102 016,10202, ,0, ,1,1,1,17V1.1,0,1852.521342,191824.3528,18718700,12,1,979,978,850,191250,7.199999809,11.57444477,4.374444962,8.872409299,0.865613613,7541.547904 +979,MN,164,29,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,43 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,TAI CHEUNG REALTY INC,2354,10700,2220,8480,0,2220,0,0,0,0,2,1,6,16,31,25,94.17,25,78, ,3,Y,5,2,126000,1111050,0,0,1915,2005,0, , ,4.55,3.44,6,6.5,1,1001640029,0,29,984528,199856,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,244.7653008,2476.180989,985050,14,0,980,979,11,2475,20.62111092,24.29500008,3.67388916,23.96101015,1.056168874,263.5711117 +980,MN,463,28,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,131 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,SECOND AT ST MARKS PA,4000,17518,2920,14598,0,2920,0,0,0,0,2,1,6,20,27,40,100,40,100, ,3,N,3,2,394200,2972250,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.38,4,0,4,1,1004630028,0,38,987558,204728,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,290.6116758,4398.148352,2578050,12,0,981,980,20,4500,34.15777969,35.56000137,1.40222168,34.3493351,0.458548383,686.986702 +981,MN,175,29,101,33,1004,2,1,10013,L001,1,15,7700,1,1,3A,373 BROADWAY,C6-4A, , , , , , , , , ,N,O5,5,0, ,"373-375 BROADWAY, LL",7594,45006,45006,0,37506,7500,0,0,0,0,2,1,6,0,101,49.92,150.25,50,150, ,3,N,5,2,1057500,4909950,0,0,1915,0,0, , ,5.93,10,10,10,1,1001750029,0,33,983254,200847,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,422.3372131,7884.530259,3852450,14,0,982,981,35,7875,24.29333305,26.0755558,1.782222748,24.79179649,0.233922534,867.7128773 +982,MN,635,12,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,41 BETHUNE STREET,C1-6A, , , , , , , , , ,N,B9,1,0,P,SIDES RANDOLPH W,1200,2400,0,2400,0,0,0,0,0,0,2,1,3,2,2,20,60,20,40, ,3,N,5,2,32050,101280,0,0,1899,0,0,Greenwich Village Historic District, ,2,4,2,4,1,1006350012,0,79,982060,207718,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,164.3718741,1205.528412,69230,8,0,983,982,5,1125,12.62111092,13.34599972,0.724888802,13.20102196,0.289955521,66.00510979 +983,MN,236,6,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1F,145 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,13272,44350,44350,0,0,0,0,0,0,44350,2,1,5,0,1,125,100.83,100,90, ,0,Y,5,5,2281500,10200150,2281500,10200150,1996,0,0, , ,3.34,6.02,6,6.5,1,1002360006,0,41,984779,201255,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,461.7881542,13140.16529,7918650,0,0,984,983,59,13275,21.95700073,24.62666702,2.66966629,22.69221519,1.023445667,1338.840696 +984,MN,443,8,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,32 2 AVENUE,C6-2A, , , , , , , , , ,N,J5,5,0,P,FILM ART FUND INC,5450,8900,8900,0,0,0,0,0,0,8900,2,1,2,0,4,54.5,100,44,97, ,2,N,3,2,513000,1345500,513000,1345500,1920,2006,0,East Village/Lower East Side Historic Di, ,1.63,6.02,6,6.5,1,1004430008,0,3602,986985,203290,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,315.4001723,5648.489756,832500,1,0,985,984,26,5850,31.53899956,39.33666611,7.79766655,33.32250397,2.982813746,866.3851032 +985,MN,636,44,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,399 WEST STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,KAM FONG CHIN,1680,5498,0,5498,0,0,0,0,0,0,2,1,6,1,1,22.25,83.17,22.25,83.17, ,3,Y,5,0,125144,341715,1550,1550,1998,0,0, , ,3.27,4,2,4,1,1006360044,0,75,981525,206503,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,212.2309411,1800.464969,216571,9,1,986,985,10,2250,7.557777882,9.192000389,1.634222507,8.889378071,0.607663263,88.89378071 +986,MN,740,23,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,319 WEST 16 STREET,R8B, , , , , , , , , ,N,C0,2,0,P,FATA MORGANA INC.,1619,6000,0,4800,0,0,0,0,0,0,2,1,4,3,3,25,65.92,25,48, ,2,Y,5,1,86075,248832,0,0,1910,1987,0, , ,3.71,4,0,4,1,1007400023,0,83,983598,209464,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,189.2806876,1812.342623,162757,7,0,987,986,8,1800,15.59444427,20.80666733,5.212223053,17.63716674,2.238252964,141.0973339 +987,MN,794,62,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,140 WEST 19 STREET,C6-3A,C6-2A, , , , , , , , ,Y,D7,4,0, ,TROPHY WEST LLC,2880,18714,2800,15914,0,2800,0,0,0,0,2,1,7,24,25,27.92,100.25,28,100, ,3,Y,5,2,540000,2739150,0,0,1920,2004,2004, , ,6.5,7.52,6,7.5,1,1007940062,0,87,985211,209247,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,266.3595754,3120.183409,2199150,7,0,988,987,15,3375,27.66555595,27.66555595,0,27.66555595,0,414.9833393 +988,MN,514,25,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,139 GREENE STREET,M1-5A, , , , , , , , , ,N,A9,1,0, ,"BALLANTINE, PETER WYC",2502,4475,0,4475,0,0,0,0,0,0,2,1,2.5,1,1,25,100.08,25,40, ,3,N,5,2,18142,83515,1550,1550,1899,0,0,SoHo-Cast Iron Historic District, ,1.79,0,5,6.5,1,1005140025,0,49,984563,203757,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,256.4900177,2540.600338,65373,9,0,989,988,12,2700,22.59666634,23.79611206,1.199445724,22.69662015,0.331509285,272.3594418 +989,MN,282,53,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,92 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0,P,92 EAST LLC,2038,8495,1500,6995,0,1500,0,0,0,0,2,1,5,8,9,25,81.5,25,68, ,2,N,5,2,177088,575425,0,0,1920,1984,0, , ,4.17,3.44,6,6.5,1,1002820053,0,8,986003,199401,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,224.189433,2206.084688,398337,16,0,990,989,10,2250,37.20222092,37.20222092,0,37.20222092,0,372.0222092 +990,MN,613,48,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,210 WEST 11 STREET,C2-6, , , , , , , , , ,N,A4,1,0, ,210 NORTHFIELD LLC,1062,3135,0,3135,0,0,0,0,0,0,2,1,3.5,1,1,19.08,54,19.08,44, ,3,N,5,1,59115,115291,0,0,1899,0,0,Greenwich Village Historic District, ,2.95,3.44,2,6.5,1,1006130048,0,71,983789,207535,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,157.8730105,1215.407234,56176,8,0,991,990,6,1350,24.94000053,25.84866714,0.908666611,25.09144497,0.338640052,150.5486698 +991,MN,373,19,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,332 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,332 E 4TH ST ASSOCS,4651,17478,800,16678,0,800,0,0,0,0,2,1,6,28,30,45.17,96.17,44,72, ,3,N,5,2,193500,1044450,0,0,1920,0,0, , ,3.76,4,0,4,1,1003730019,0,2601,990057,202163,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,288.4802477,4476.612192,850950,1,0,992,991,20,4500,12.37111092,13.65888977,1.287778854,12.47120543,0.308015278,249.4241085 +992,MN,276,3,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,7 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,7 MONROE RLTY ENTRPSI,2628,10415,1000,9415,0,1000,0,0,0,0,2,1,5,16,18,25.92,101.42,26,86, ,2,N,5,2,177750,543600,0,0,1900,2010,0, , ,3.96,3.44,0,6.5,1,1002760003,0,8,985303,198548,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,263.3390668,2849.295364,365850,16,0,993,992,14,3150,13.17555523,16.04444504,2.868889809,13.94531727,1.221711392,195.2344418 +993,MN,442,13,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,35 EAST 1 STREET,R8B, , , , , ,TA, , , ,N,C6,2,0, ,PARIS BOWL CORP,2203,6605,1321,5284,0,1321,0,0,0,0,2,1,5,10,12,25.25,90.25,25,55, ,2,Y,5,1,164700,736200,14160,14160,1900,1985,0, , ,3,4,0,4,1,1004420013,0,3602,986921,202994,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,237.8100588,2356.190118,571500,1,0,994,993,11,2475,36.32099915,39.95011139,3.629112244,37.23122163,1.134802519,409.543438 +994,MN,519,7501,102,37,2005,2,3,10014,E024,1,15,6800,1,2, ,17 CHARLTON STREET,R6, , , , , , , , , ,N,R6,2,0, ,OWNER / AGENT,2342,6125,0,6125,0,0,0,0,0,0,2,1,3,2,2,23.33,100.4,0,0, ,0,N,5,5,21951,144700,1550,1550,1899,1970,0,Charlton-King-Vandam Historic District, ,2.62,2.43,0,4.8,1,1005197501,724,37,983143,204228,12a, ,101N068,10206, ,1005190054,11/15/1990,1, , ,17V1.1,7,248.7134005,2362.386375,122749,9,0,995,994,11,2475,16.83888817,22.50222206,5.663333893,18.90202019,2.220193727,207.9222221 +995,MN,415,22,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,145 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,65 RIVINGTON STREET L,1400,7900,1000,6900,0,1000,0,0,0,0,2,1,6,10,12,20,70,20,69, ,3,N,3,2,157500,511200,0,0,1900,0,0, , ,5.64,4,4,4,1,1004150022,0,18,986991,201777,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,186.7212034,1547.710007,353700,13,0,996,995,7,1575,37.10666656,38.45999908,1.35333252,37.46079363,0.563223565,262.2255554 +996,MN,821,12,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,51 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,"PANASIA ESTATE, INC.",2080,7084,5796,1288,3864,1932,0,0,0,0,2,1,5,1,4,22.5,92,23,84,E,3,N,5,2,135000,346950,0,0,1910,0,0,Ladies' Mile Historic District, ,3.41,10,10,10,1,1008210012,0,54,986014,208976,8d, ,102 041,10306, ,0, ,1, , 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,17V1.1,0,242.6223201,2232.246889,702450,7,0,1011,1010,10,2250,32.91555405,37.44888687,4.533332825,33.36888733,1.359999847,333.6888733 +1011,MN,391,59,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,299 EAST 8 STREET,R8B,R7A, , , , , , , , ,Y,C1,2,0, ,299 B&C REALTY LLC,4508,18732,0,18732,0,0,0,0,0,0,2,1,6,30,30,48,93.92,48,79, ,2,N,5,2,315000,1898100,0,0,1900,1987,0, , ,4.16,4,0,4,1,1003910059,0,2602,989745,203658,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,290.5413084,4652.494357,1583100,12,1,1012,1011,19,4275,8.318888664,8.318888664,0,8.318888664,0,158.0588846 +1012,MN,793,1,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,119 7 AVENUE,C6-3A, , , , , , , , , ,N,D7,4,0, ,119-125 SEVENTH AVENU,10300,53123,8000,45123,0,8000,0,0,0,0,2,1,6,55,59,103,100,103,88, ,2,N,3,2,922500,4716450,0,0,1950,1988,0, , ,5.16,7.52,6,7.5,1,1007930001,0,81,984849,209071,8d, ,103 029,10305, ,0, ,1, , 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,1,1,1,17V1.1,0,886.6712071,49041.76475,44107200,17,1,1044,1043,219,49275,5.993332863,8.309999466,2.316666603,6.223141694,0.550935356,1362.868031 +1044,MN,887,23,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,184 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,D7,4,0,P,TRICO EQUITIES COMPAN,7571,97414,12600,84814,0,12600,0,0,0,0,2,1,17,96,100,87,100,82,86, ,3,Y,5,2,2731500,16222950,0,0,1984,0,0, , ,12.87,6.02,6,6.5,1,1008870023,0,72,989463,210654,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,472.4267648,9025.934322,13491500,10,0,1045,1044,41,9225,29.31800079,31.66666603,2.348665237,29.39263488,0.365765225,1205.09803 +1045,MN,862,16,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,152 MADISON AVENUE,C5-2, , , , , , , , , ,N,O4,5,0, ,"HESKEL'S PARAMOUNT, L",4686,98847,98847,0,90976,7871,0,0,0,0,2,1,22,0,47,49.33,95,49,90, ,3,N,3,2,2700000,10582200,0,0,1929,2015,0, , ,21.09,10,10,10,1,1008620016,0,74,988663,211327,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,296.7623678,5098.169533,7882200,10,0,1046,1045,22,4950,39.86111069,40.46333313,0.602222443,39.88848443,0.125442269,877.5466576 +1046,MN,372,7501,103,22.02,1000,1,2,10009,E028,9,14,7600,3,3, ,296 EAST 2 STREET,R8A, , , , , , , , , ,N,R1,2,0, , ,2649,7280,0,7280,0,0,0,0,0,0,2,1,6,8,8,25,105.96,0,0, ,0,N,0,5,52847,934494,9440,9440,2003,0,0, , ,2.75,6,0,6,1,1003727501,1571,2202,989956,201800,12c, ,102 014,10202, ,1003720053,12/29/2006,1, , ,17V1.1,7,262.0040313,2503.313984,881647,1,1,1047,1046,9,2025,12.00399971,14.77666664,2.772666931,12.86933316,1.225920266,115.8239985 +1047,MN,615,75,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,4 JANE STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"EHRENFELD, ELIZABETHM",1180,3360,0,2520,0,0,0,0,0,0,2,1,3,2,2,20,60,20,42, ,2,Y,5,1,41212,130221,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.85,3.44,2,6.5,1,1006150075,0,77,983593,208145,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,155.720646,1064.184339,89009,8,0,1048,1047,5,1125,21.74111176,24.27633286,2.5352211,22.24815598,1.01408844,111.2407799 +1048,MN,816,61,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,34 WEST 15 STREET,C6-2M, , , , , , , , , ,N,L8,6,0,P,ADOMAH CORP,2582,15277,13176,2101,0,2177,0,10999,0,0,2,1,7,1,7,25,103.25,25,90, ,3,N,5,2,261000,1212300,0,0,1920,2010,0, , ,5.92,6.02,6,6.5,1,1008160061,0,54,985648,207863,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,266.0916738,2722.332355,951300,7,0,1049,1048,11,2475,28.19599915,28.19599915,0,28.19599915,0,310.1559906 +1049,MN,547,15,102,59,3003,2,1,10003,E033,6,15,5700,1,2,2A,12 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W5,8,0,P,NEW YORK UNIVERSITY,7542,42264,42264,0,0,0,0,0,0,42264,2,3,8,1,6,91.67,82,90,82, ,3,Y,5,2,1035000,19795500,1035000,19795500,1800,2001,2008, , ,5.6,3.44,0,6.5,1,1005470015,0,59,985777,205221,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,359.6515963,8068.113349,18760500,9,0,1050,1049,36,8100,34.72000122,37.00333405,2.283332825,34.96087763,0.652172446,1258.591595 +1050,MN,354,31,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,128 RIVINGTON STREET,R7A, , , , , , , , , ,N,C6,2,0,P,128 RIVINGTON STREET,4500,19405,1800,17605,0,1800,0,0,0,0,2,2,5,20,24,60,75,30,68, ,3,N,3,2,270000,625950,270000,276143,1920,1993,0, , ,4.31,4,0,4,1,1003540031,0,3001,987894,201520,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,287.4606687,5106.049534,355950,13,0,1051,1050,22,4950,28.01666641,28.01666641,0,28.01666641,0,616.3666611 +1051,MN,606,63,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,457 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,453 LLC,895,2418,750,1668,0,750,0,0,0,0,2,1,3,2,3,20,52.25,20,37, ,3,Y,5,5,39594,98784,0,0,1910,0,0,Greenwich Village Historic District, ,2.7,3.44,2,6.5,1,1006060063,0,71,984617,207146,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,139.1397783,947.4384959,59190,8,0,1052,1051,4,900,22.88899994,22.88899994,0,22.88899994,0,91.55599976 +1052,MN,831,59,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,1214 BROADWAY,M1-6, , , , , , , , , ,N,K2,5,0, ,1214-1216 BROADWAY DE,8150,38500,38500,0,0,33800,0,4700,0,0,2,1,4,0,38,52.87,149.75,50,142, ,3,Y,3,2,3712500,7982100,0,0,1929,1986,0, , ,4.72,0,10,10,1,1008310059,0,76,987540,211232,8d, ,104 015,10306, ,1008310059,1/23/2007,1, , ,17V1.1,0,442.381438,8622.966135,4269600,10,0,1053,1052,37,8325,41.02666855,45.68777847,4.661109924,41.71165322,1.508716142,1543.331169 +1053,MN,766,36,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,207 WEST 16 STREET,C6-3A, , , , , , , , , ,N,C0,2,0, ,MIRCHANDANI RAJU S,954,2052,0,2052,0,0,0,0,0,0,2,1,4,3,3,18,53,18,38, ,3,N,5,2,63382,110592,0,0,1901,0,0, , ,2.15,7.52,6,7.5,1,1007660036,0,81,984509,208952,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,151.401746,1067.087807,47210,7,0,1054,1053,5,1125,21.88888931,21.88888931,0,21.88888931,0,109.4444466 +1054,MN,871,60,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,30 IRVING PLACE,R8A, , , , , , , , , ,N,O6,5,0, ,30 IRVING LLC,8260,102805,102805,0,96805,6000,0,0,0,0,2,1,12,0,13,103.25,80,103,80, ,0,N,3,5,5895000,9331650,0,0,1912,1989,0, , ,12.45,6,0,6,1,1008710060,0,50,987653,207058,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,383.957408,9068.431476,3436650,5,0,1055,1054,40,9000,33.78900146,38.25333405,4.464332581,34.61236515,1.543105726,1384.494606 +1055,MN,468,39,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,197 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0,P,WOR HING INC,1890,7500,1500,6000,0,1500,0,0,0,0,2,1,5,4,5,21,90,21,88, ,3,N,5,5,217211,323199,0,0,1900,0,0, , ,3.97,4,0,4,1,1004680039,0,40,988120,205742,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,223.0466425,1976.421316,105988,12,0,1056,1055,9,2025,28.72333336,30.11777687,1.394443512,28.87827153,0.438231317,259.9044437 +1056,MN,392,33,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,155 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,155 AVENUE C HOUSING,1909,8441,1000,7441,0,1000,0,0,0,0,2,1,5,17,18,23,83,23,75,E,3,N,5,0,132750,810900,124785,762246,1900,1960,0, , ,4.42,4,0,4,1,1003920033,0,28,990359,203693,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,219.9904276,2100.023764,678150,12,1,1057,1056,7,1575,7.576999664,7.576999664,0,7.576999664,0,53.03899765 +1057,MN,802,19,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,135 WEST 26 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,"MILTAN REALTY CO.,",4937,58084,58084,0,53584,4500,0,0,0,0,2,1,12,2,21,50,98.75,50,95, ,3,N,5,2,913500,5553000,0,0,1909,0,0, , ,11.77,0,10,10,1,1008020019,0,95,986270,210915,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,304.1542121,5135.358419,4639500,2,0,1058,1057,23,5175,32.50999832,37.60333252,5.093334198,32.99306604,1.378532933,758.840519 +1058,MN,91,9,101,15.01,1015,2,1,10038,E006,1,15,7700,1,1,1B,121 FULTON STREET,C6-4, , , , , ,LM, , , ,N,O9,5,0, ,CASTEGA - 121-123 FU,6054,26588,16450,10138,11000,5450,0,0,0,0,2,2,5,6,13,51.22,119.56,51,120, ,3,Y,4,2,711000,1318500,0,0,1935,1988,0, , ,4.39,10,10,10,1,1000910009,0,1501,982296,198006,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,353.1673312,6347.118537,607500,4,0,1059,1058,29,6525,33.07500076,33.95666504,0.881664276,33.13122664,0.207321438,960.8055725 +1059,MN,406,39,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,551 EAST 12 STREET,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,551 EAST 12 STREET H,1100,5500,800,4700,0,800,0,0,0,0,2,1,5,8,9,18.33,60,18,60, ,3,N,3,2,14234,67302,0,0,1930,0,0, , ,5,4,0,4,1,1004060039,0,34,990036,204607,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,168.0917433,1286.972802,53068,12,1,1060,1059,6,1350,11.55733395,12.34444427,0.787110329,12.15696319,0.269929285,72.94177914 +1060,MN,858,32,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1B,41 EAST 28 STREET,C5-2, , , , , , , , , ,N,D0,3,0, ,41 EAST 28TH ST APART,4123,26615,2700,23915,0,2700,0,0,0,0,2,1,7,18,20,41.67,98.75,42,99,E,3,N,5,2,675000,2702700,16520,16520,1910,1987,0, , ,6.46,10,10,10,1,1008580032,0,74,988548,210241,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,289.3715259,4289.980942,2027700,11,0,1061,1060,18,4050,36.10889053,36.58988953,0.480998993,36.1356127,0.110178314,650.4410286 +1061,MN,885,7503,106,72,4001,2,2,10016,E016,13,14,5300,2,6, ,144 EAST 30 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2469,10402,0,10402,0,0,0,0,0,0,2,1,5,5,5,25,98.75,25,68.75, ,3,N,0,2,116179,1170909,2360,2360,1920,2009,2009, , ,4.21,4,0,4,1,1008857503,2208,72,989518,210115,8d, ,104 019,10307, ,1008850056,9/16/2011,1, , ,17V1.1,7,249.2397944,2409.512277,1054730,10,0,1062,1061,10,2250,30.56200027,30.56200027,0,30.56200027,0,305.6200027 +1062,MN,590,28,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,172 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,C7,4,0, ,DZ FAMILY ASSOCIATESL,3445,11300,2825,8475,0,2825,0,0,0,0,2,3,4,7,8,58,65.17,58,49, ,0,Y,3,5,1017774,2470000,0,0,2001,0,0,Greenwich Village Historic District Exte, ,3.28,2.43,0,4.8,1,1005900028,0,67,983770,206011,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,241.4426926,3610.566059,1452230,9,0,1063,1062,16,3600,17.54000092,20.50222206,2.962221146,17.96493137,0.913832469,287.4389019 +1063,MN,298,14,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,64 HESTER STREET,C6-2, , , , , , , , , ,N,A4,1,0, ,"LUKE, WILLIAM",873,2128,0,2128,0,0,0,0,0,0,2,2,3,1,1,20.75,42.08,20,42, ,3,N,5,5,40418,84256,1550,1550,1901,0,0, , ,2.44,6.02,6,6.5,1,1002980014,0,16,986716,200071,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,133.0068169,955.5897367,43838,13,0,1064,1063,4,900,37.20466614,37.64699936,0.442333221,37.53641605,0.191535903,150.1456642 +1064,MN,767,74,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,154 8 AVENUE,C1-6A, , , , , , , , , ,N,S4,4,0,P,EIGHTH AVENUE 154 LLC,1750,3640,1137,2503,0,1137,0,0,0,0,2,1,4,4,5,17.5,100,17.5,60, ,3,N,5,5,134861,312594,0,0,1920,1987,0, , ,2.08,4,2,4,1,1007670074,0,81,984094,209563,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,239.6953998,1855.27452,177733,7,0,1065,1064,9,2025,21.88888931,23.1744442,1.285554886,22.21074104,0.49062359,199.8966694 +1065,MN,843,45,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,79 5 AVENUE,C6-4M,C6-2A, , , , , , , , ,Y,O6,5,0, ,79 FIFTH AVENUE LLC,16825,272566,272566,0,256266,16300,0,0,0,0,2,1,16,0,18,106.5,159,102,159, ,3,Y,3,1,13500000,51190200,0,0,1906,1979,0,Ladies' Mile Historic District, ,16.2,10,10,10,1,1008430045,0,52,986357,207774,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,552.612762,18208.08991,37690200,7,0,1066,1065,81,18225,37.06999969,39.7844429,2.714443207,37.40972533,0.776398884,3030.187752 +1066,MN,575,86,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,73 WEST 11 STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,"RAMIERZ, DAVID",2323,7969,1500,6469,0,1500,0,0,0,0,2,1,5,7,8,22.5,103.25,23,96,E,3,N,5,2,398727,813218,0,0,1900,1988,0,Greenwich Village Historic District, ,3.43,3.44,2,6.5,1,1005750086,0,63,984880,207205,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,259.2800312,2452.336459,414491,8,0,1067,1066,9,2025,24.42399979,24.42399979,0,24.42399979,0,219.8159981 +1067,MN,825,7501,105,58,1007,2,3,10010,E001,13,15,5700,1,5, ,35 WEST 23 STREET,M1-6, , , , , , , , , ,N,RM,4,0, ,35 W. 23RD ST. CONDOM,4419,18449,5769,12680,5769,0,0,0,0,0,2,1,5,4,5,45,99,0,0, ,0,N,5,5,185581,1887939,2360,2360,1906,1981,0,Ladies' Mile Historic District, ,4.17,0,10,10,1,1008257501,92,58,986780,209749,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,7,303.7803878,4848.364848,1702360,2,0,1068,1067,21,4725,36.32888794,38.23110962,1.90222168,36.41946992,0.405094951,764.8088684 +1068,MN,615,20,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,254 WEST 12 STREET,R6, , , , , , , , , ,N,B9,1,0, ,KORNFELD MARTIN H,1806,3680,0,2760,0,0,0,0,0,0,2,1,3,2,2,20.67,87,20.67,44, ,3,Y,5,1,39977,174182,39977,90471,1899,0,0,Greenwich Village Historic District, ,2.04,2.43,0,4.8,1,1006150020,0,77,983475,207938,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,219.3167449,1808.595951,134205,8,0,1069,1068,8,1800,23.05999947,24.24666595,1.186666489,23.20833278,0.392453052,185.6666622 +1069,MN,219,7501,101,39,1014,2,1,10013,L008,1,15,7700,3,1, ,429 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,11568,80038,8929,71109,0,0,3487,0,0,5442,2,1,9,28,30,100.25,125.58,0,0, ,0,Y,0,5,924751,8357405,4720,4720,1920,0,0,Tribeca North Historic District, ,6.92,6.02,6,6.5,1,1002197501,944,39,981645,202432,12a, ,101N040,10105, ,1002190007,12/24/1996,1, , ,17V1.1,7,447.3885914,12175.26773,7432650,0,1,1070,1069,54,12150,10.46666718,12.82777786,2.361110687,10.52449638,0.332621226,568.3228045 +1070,MN,745,11,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,347 WEST 21 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,DIAMONDJIM LLC,2074,5808,0,4527,0,0,0,0,0,0,2,1,4,1,1,21,98.75,21,61,E,3,N,5,1,60949,248985,0,0,1910,2014,2014,Chelsea Historic District, ,2.8,3,0,3,1,1007450011,0,89,983870,210728,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,246.2447921,2061.749975,188036,7,0,1071,1070,10,2250,15.97222233,16.01888847,0.046666145,15.97688894,0.013999844,159.7688894 +1071,MN,219,7504,101,39,1014,2,1,10013,L008,1,15,7700,3,1, ,169 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,9225,65921,15497,50424,0,8559,0,6938,0,0,2,1,7,12,14,0.21,0,0,0, ,0,N,0,5,851399,8485651,43859,1801840,1915,0,0,Tribeca North Historic District, ,7.15,6.02,6,6.5,1,1002197504,1191,39,981892,202451,12a, ,11N 040,10105, ,1002190022,11/21/2001,1, , ,17V1.1,7,390.9378745,9529.719837,7634250,0,1,1072,1071,43,9675,10.46666718,10.46666718,0,10.46666718,0,450.0666885 +1072,MN,720,75,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,456 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CHRISTY HOUSE OWNRS C,2172,6135,0,6135,0,0,0,0,0,0,2,1,5,10,10,22,98.75,22,54, ,3,N,5,2,112605,527280,7080,7080,1900,1987,0,Chelsea Historic District Extension, ,2.82,3,0,3,1,1007200075,0,93,983237,211489,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,248.1021464,2220.27411,414675,2,1,1073,1072,10,2250,9.369999886,11.40555477,2.035554886,9.692066479,0.615515067,96.92066479 +1073,MN,613,46,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,214 WEST 11 STREET,C2-6, , , , , , , , , ,N,B9,1,0, ,"GATON, MICHELE",1044,3344,0,2508,0,0,0,0,0,0,2,1,2,2,2,19.42,53.75,19.42,44, ,2,N,3,1,71304,122174,0,0,1899,2010,0,Greenwich Village Historic District, ,3.2,3.44,2,6.5,1,1006130046,0,71,983751,207527,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,156.9227544,1178.375545,50870,8,0,1074,1073,5,1125,24.94000053,26.46222115,1.522220612,25.24444466,0.608888245,126.2222233 +1074,MN,416,27,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,157 ALLEN STREET,C4-4A, , , , , , , , , ,N,D6,4,0,P,TREASURE TOWER CORP,3300,20000,2700,17300,0,2700,0,0,0,0,2,1,7,26,29,37.5,88,38,76, ,3,N,5,2,186750,651600,0,0,1920,1986,0, , ,6.06,4,4,4,1,1004160027,0,3601,987061,201980,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,256.113375,3375.660021,464850,13,0,1075,1074,14,3150,37.29800034,38.84000015,1.541999817,37.95868274,0.550318554,531.4215584 +1075,MN,106,20,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,334 PEARL STREET,C6-2A, , , , , ,LM, , , ,N,M9,8,0,P,CHINATOWN CHINESE CON,6377,10090,10090,0,0,0,0,10090,0,0,2,1,2,0,0,50.08,131.08,50,104, ,0,Y,5,5,954000,1916100,954000,1916100,1973,0,0,South Street Seaport Historic District E, ,1.58,6.02,6,6.5,1,1001060020,0,1501,983807,197625,12b, ,101S023,10103, ,0, ,1, ,1,17V1.1,0,377.6282349,6774.641224,962100,4,1,1076,1075,31,6975,9.201000214,22.32444382,13.1234436,10.49007902,3.761030412,325.1924496 +1076,MN,407,29,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,232 AVENUE B,C1-6A, , , , , , , , , ,N,C7,4,0, ,542 EAST 14TH ST. L.L,3705,17986,2000,15986,0,2000,0,0,0,0,2,1,6,25,26,39,95,39,95, ,2,N,3,2,504000,1782000,0,0,1900,2014,0, , ,4.85,4,2,4,1,1004070029,0,34,990238,205007,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,281.7444924,4158.041948,1278000,12,1,1077,1076,19,4275,11.56444454,12.42888927,0.864444733,11.66082447,0.182126266,221.555665 +1077,MN,415,7,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,166 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,M1,8,0,X,PENTECOSTAL CHURCH OF,4413,14459,14459,0,0,0,0,0,0,14459,2,1,5,0,1,50,88.25,50,65, ,0,N,5,2,371250,736200,371250,736200,1900,0,0, , ,3.28,4,4,4,1,1004150007,0,18,986811,201588,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,279.9221504,4500.356131,364950,13,0,1078,1077,20,4500,37.10666656,37.10666656,0,37.10666656,0,742.1333313 +1078,MN,75,30,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1,1B,111 JOHN STREET,C6-4, , , , , ,LM, , , ,N,O4,5,0,P,111 JOHN REALTY CORP.,31876,296076,296076,0,281076,15000,0,0,0,0,2,1,26,0,96,191.87,113,192,111, ,1,Y,3,2,6165000,17861850,0,0,1929,0,0, , ,9.29,10,10,10,1,1000750030,0,1502,982710,197134,12b, ,101S012,10102, ,1000750030,3/30/2000,1,1,1,17V1.1,0,572.4877092,17215.83976,11696900,4,1,1079,1078,78,17550,6.182222366,16.36666679,10.18444443,7.497549772,2.472382794,584.8088822 +1079,MN,440,19,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,420 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"ISIDOROS, MICHALOS",4130,16224,0,16224,0,0,0,0,0,0,2,1,6,33,33,40,103.25,40,86, ,3,Y,5,2,197100,427500,0,0,1900,1986,0, , ,3.93,4,0,4,1,1004400019,0,34,989149,205267,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,298.3663268,4301.085591,230400,12,0,1080,1079,20,4500,16.59444427,19.08022118,2.485776901,16.79366646,0.61770945,335.8733292 +1080,MN,238,31,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,77 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,S0,4,0, ,YFM LLC,942,2335,1050,1285,0,1050,0,0,0,0,2,1,3,1,3,20,47.08,20,31, ,0,N,5,2,20301,57622,0,0,1901,0,0, , ,2.48,6.02,6,6.5,1,1002380031,0,41,985274,200839,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,142.6333558,1048.18367,37321,0,0,1081,1080,4,900,31.90200043,31.90200043,0,31.90200043,0,127.6080017 +1081,MN,151,28,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,317 BROADWAY,C6-4A, , , , , , , , , ,N,K2,5,0, ,FRANCHISE RLTY INTERS,2639,7692,7692,0,0,4992,0,2700,0,0,2,1,2,0,1,25.08,105.25,25,106, ,3,N,3,2,580500,1424700,0,0,1982,0,0, , ,2.91,10,10,10,1,1001510028,0,33,982775,200066,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,270.5967126,2751.730306,844200,14,0,1082,1081,14,3150,23.98999977,33.3433342,9.353334427,26.70358726,3.795595198,373.8502216 +1082,MN,269,41,103,2.01,1001,1,1,10002,E015,7,14,8000,1,3,1B,259 MADISON STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,93564,184328,184328,0,0,0,0,0,0,184328,2,1,4,0,1,468,200,182,202,E,1,N,1,2,4590000,20399850,4590000,20399850,1966,0,0, , ,1.97,3.44,0,6.5,1,1002690041,0,201,988115,199173,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,1303.499023,91338.50012,15809900,13,0,1083,1082,406,91350,27.24200058,34.14333344,6.901332855,28.96934136,2.421860463,11761.55259 +1083,MN,476,70,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,1 WATTS STREET,M1-5A, , , , , , , , , ,N,S4,4,0, ,366 WEST BROADWAY LLC,1524,5029,1689,3340,0,1689,0,0,0,0,2,1,5,4,5,22.33,35.75,21,36, ,2,Y,3,5,408551,616938,0,0,1927,0,0,SoHo-Cast Iron Historic District Extensi, ,3.3,0,5,6.5,1,1004760070,0,47,983336,202765,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,151.6979256,1333.469701,208387,0,1,1084,1083,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +1084,MN,476,62,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,40 THOMPSON STREET,M1-5B,M1-5A, , , , , , , , ,Y,O6,5,0,P,EPIC THOMPSON LLC,5121,30906,30906,0,16603,6314,0,0,0,7989,2,2,7,0,7,41,124.92,41,77, ,1,Y,3,2,945000,5412150,0,0,1928,2010,2016, , ,6.04,0,5,6.5,1,1004760062,0,47,983239,202776,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,373.7761276,6113.556366,4467150,0,1,1085,1084,28,6300,9.686666489,9.686666489,0,9.686666489,0,271.2266617 +1085,MN,164,19,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,66 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,BOK LUNG REALTY INC,4936,22000,4000,18000,0,1000,0,0,0,0,2,4,5,32,38,50.58,100,25,45, ,0,N,5,2,333000,1616850,0,0,1909,0,0, , ,4.46,3.44,6,6.5,1,1001640019,0,29,984488,200030,12c,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,309.1077367,5254.189156,1283850,14,0,1086,1085,22,4950,24.29500008,29.25222206,4.957221985,24.53919203,1.032085752,539.8622246 +1086,MN,882,47,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,366 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,K2,5,0, ,366-368 THIRD OWNER L,2765,10356,10356,0,5178,5178,0,0,0,0,2,1,4,0,4,24.67,112,24.67,112, ,3,Y,5,2,679500,1418850,0,0,1920,1984,0, , ,3.75,10,2,10,1,1008820047,0,68,989281,209320,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,279.6999879,2840.58172,739350,11,0,1087,1086,14,3150,33.1230011,39.60111237,6.478111267,33.64300101,1.665261679,471.0020142 +1087,MN,907,21,106,66,3001,2,2,10010,E016,13,14,5800,1,6,1B,235 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,235-237 CORP,2469,10045,0,10045,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,135000,918900,0,0,1920,0,0, , ,4.07,4,0,4,1,1009070021,0,66,989777,208973,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,253.5160734,2585.883736,783900,11,0,1088,1087,12,2700,34.39699936,35.09000015,0.693000793,34.97450002,0.258266147,419.6940002 +1088,MN,435,48,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,109 EAST 7 STREET,R8B, , , , , , , , , ,N,M4,8,0,X,RC CHUR ST STANISLAUS,1912,4000,4000,0,0,0,0,0,0,4000,2,1,3,0,1,20.25,97.5,20.17,58,E,0,Y,5,5,141300,372150,141300,372150,1920,0,0,East Village/Lower East Side Historic Di, ,2.09,4,0,4,1,1004350048,0,32,988520,204045,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,242.1693935,2132.291953,230850,12,0,1089,1088,10,2250,18.46888924,20.24200058,1.773111343,18.66351147,0.528688293,186.6351147 +1089,MN,692,61,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,550 WEST 21 STREET,C6-3, , , , , ,WCH, , , ,N,K1,5,0, ,540 WEST 21ST STREET,5425,5425,5425,0,0,5425,0,0,0,0,2,1,1,0,1,50,110.67,50,110, ,3,Y,5,0,335250,1845000,0,0,1945,2008,0, , ,1,7.52,6,10,1,1006920061,0,99,982158,211489,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,321.2986575,5626.740971,1509750,7,1,1090,1089,24,5400,7.123000145,7.456666946,0.333666801,7.148472369,0.084867602,171.5633368 +1090,MN,298,25,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,17 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,CHAN & SZE REALTY INC,2194,8980,1796,7184,0,1796,0,0,0,0,2,2,5,17,19,25,87.75,25,40, ,3,Y,5,5,94500,451800,0,0,1910,0,0, , ,4.09,6.02,6,6.5,1,1002980025,0,16,986728,199883,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.8044757,2260.121732,357300,13,0,1091,1090,11,2475,37.64699936,40.06777573,2.420776367,37.86706994,0.695924275,416.5377693 +1091,MN,217,11,101,39,1018,2,1,10013,L008,1,15,7700,1,1,3B,399 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0, ,ANURHADAPPURA CORP,2000,9375,3500,5875,0,0,0,3500,0,0,2,1,5,4,6,25,80,25,75, ,3,Y,5,2,93409,377913,4720,4720,1920,0,0,Tribeca North Historic District, ,4.69,6.02,6,6.5,1,1002170011,0,39,981366,202218,12a, ,101N039,10105, ,0, ,1,1,1,17V1.1,0,214.2444392,2086.968795,284504,14,1,1092,1091,9,2025,7.73111105,7.73111105,0,7.73111105,0,69.57999945 +1092,MN,521,66,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,294 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C1,2,0, ,294 ELIZABETH ST LLC,1815,6344,0,6344,0,0,0,0,0,0,2,1,4,7,7,25.5,71.17,25.5,60, ,3,N,5,0,90667,338839,0,0,1900,0,0,Noho East Historic District, ,3.5,6.02,6,6.5,1,1005210066,0,5502,986168,203347,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,200.3642347,1908.721412,248172,9,0,1093,1092,8,1800,43.41222,45.88444519,2.472225189,44.02930403,1.068822655,352.2344322 +1093,MN,583,21,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,46 MORTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,CROCO LLC,3800,4516,0,4516,0,0,0,0,0,0,2,1,4,3,3,17.83,100,17.83,48.33, ,3,Y,5,2,30568,165888,0,0,1910,0,0,Greenwich Village Historic District, ,1.19,2.43,0,4.8,1,1005830021,0,67,982740,205443,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,273.0133969,3374.986214,135320,9,0,1094,1093,16,3600,15.38333321,18.92888832,3.545555115,16.50284702,1.262566252,264.0455523 +1094,MN,441,16,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,418 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,SAMPOL. LLC,2275,6250,1250,5000,0,1250,0,0,0,0,2,1,5,8,10,25,91,25,50, ,3,N,5,2,69190,311728,0,0,1900,1986,0, , ,2.75,4,2,4,1,1004410016,0,34,989301,205495,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,235.6958464,2301.36515,242538,12,0,1095,1094,10,2250,16.39666748,19.31500053,2.918333054,18.87842274,0.906234872,188.7842274 +1095,MN,407,40,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,541 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,DORA COLLAZO PLAZA LT,2581,11478,0,11478,0,0,0,0,0,0,2,1,6,15,15,25,103.25,25,88, ,2,N,5,2,116100,1200600,0,1080000,1900,1997,0, , ,4.45,4,2,4,1,1004070040,0,34,990095,204928,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,261.4562239,2683.301676,1084500,12,1,1096,1095,11,2475,11.62699986,12.79666615,1.16966629,11.73333315,0.336255416,129.0666647 +1096,MN,220,7501,101,33,3003,2,1,10013,L008,1,15,7700,3,1, ,11 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,OWNER / AGENT,2715,14309,3315,10994,0,1430,0,1885,0,0,2,1,6,6,8,31,88,0,0, ,0,N,5,5,194575,1218238,2360,2360,1890,0,0,Tribeca North Historic District, ,5.27,6.02,6,6.5,1,1002207501,694,33,982251,202442,12a, ,101N042,10105, ,1002200025,11/15/1990,1, , ,17V1.1,7,237.7904744,2819.26238,1023660,0,1,1097,1096,14,3150,11.22399998,11.64000034,0.416000366,11.27922222,0.135723357,157.909111 +1097,MN,543,1,102,65,2000,2,1,10014,L009,6,15,5700,1,2,2A,304 AVENUE OF THE AMER,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,9075,107,107,0,0,0,0,0,0,107,2,1,1,0,1,152,59,12.33,8.67, ,0,Y,3,5,918000,1162350,918000,1162350,1920,0,0, , ,0.01,0,0,0,1,1005430001,0,65,983882,205483,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,449.0999914,9813.929111,244350,9,0,1098,1097,43,9675,18.85333252,20.39888954,1.545557022,19.74121963,0.449958722,848.8724442 +1098,MN,422,49,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,139 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,J8,5,0, ,S&G HOUSTON REALTY CO,7384,24800,24800,0,0,0,0,0,0,24800,2,1,3,0,1,78.25,100,62,100, ,0,Y,5,2,693000,3849750,0,0,2000,0,0, , ,3.36,6.02,6,6.5,1,1004220049,0,3601,987025,202692,12c, ,102 002,10204,E-216,1004220049,10/24/2002,1, , ,17V1.1,0,366.7274317,7752.228567,3156750,1,0,1099,1098,35,7875,37.43011093,38.80955505,1.379444122,38.40727332,0.18418933,1344.254566 +1099,MN,890,49,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,166 EAST 35 STREET,C1-9, , , , , , , , , ,N,D4,3,0, ,OSSE INC,6562,74798,5000,69798,0,5000,0,0,0,0,2,1,15,112,117,75,87.5,75,74, ,3,N,3,2,972000,6744600,120275,120275,1957,1988,0, , ,11.4,10,2,10,1,1008900049,0,72,990332,211194,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,332.5966592,6857.001582,5772600,10,0,1100,1099,30,6750,36.30111313,37.79100037,1.489887238,37.46834882,0.598425525,1124.050465 +1100,MN,924,12,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,315 EAST 18 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"MITCHELL, COLIN",1840,3720,0,2720,0,0,0,0,0,0,2,1,3,2,2,20,92,20,36,E,3,N,5,1,76237,157593,0,0,1901,0,0, , ,2.02,3,0,3,1,1009240012,0,48,989181,206944,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,232.4885967,2003.815838,81356,5,0,1101,1100,10,2250,14.83555603,19.05111122,4.215555191,16.25524464,1.335646485,162.5524464 +1101,MN,555,28,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,30 3 AVENUE,C6-2A, , , , , , , , , ,N,D4,3,0, ,EAST 9TH ST APTS CORP,20165,261940,18000,243940,0,18000,0,0,0,0,2,1,20,260,269,184.42,118.17,184,118, ,1,Y,3,2,1912500,24091200,404999,404999,1965,0,0, , ,12.99,6.02,6,6.5,1,1005550028,0,42,987133,205447,12c, ,102 017,10207, ,0, ,1, , ,17V1.1,0,613.7769145,20228.64917,22178700,12,0,1102,1101,90,20250,38.18777847,40.04777527,1.859996796,38.42446344,0.503196806,3458.20171 +1102,MN,453,34,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,179 1 AVENUE,R8B,R7A, , ,C1-5, , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,70764,101100,101100,0,0,0,0,0,0,101100,2,1,2,0,1,206.5,358.17,195,165, ,1,Y,3,2,5689350,11567250,5689350,11567250,1955,0,0, , ,1.43,4,0,4,1,1004530034,0,40,988552,205234,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,1191.799265,72609.39712,5877900,12,0,1103,1102,322,72450,22.86444473,28.49222183,5.6277771,23.89041508,0.866752259,7692.713655 +1103,MN,634,51,102,75,3000,2,3,10014,L005,6,15,6400,1,2,2K,759 GREENWICH STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,"RADOCZY,ALDO",1502,6109,0,6109,0,0,0,0,0,0,2,1,6,1,1,21,71.5,21,65,E,3,Y,5,5,128443,226708,1550,1550,1910,1985,0,Greenwich Village Historic District, ,4.07,3.44,2,6.5,1,1006340051,0,75,982449,207419,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,185.5152551,1419.189773,98265,8,0,1104,1103,6,1350,18.61700058,20.73999977,2.122999191,19.21577803,0.867547856,115.2946682 +1104,MN,416,28,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,155 ALLEN STREET,C4-4A, , , , , , , , , ,N,S3,4,0, ,"SANDERS, ISCA",1884,3076,750,2326,0,750,0,0,0,0,2,1,3,3,4,21.33,88.33,20.83,36,E,3,N,5,5,37867,55117,0,0,1910,0,0, , ,1.63,4,4,4,1,1004160028,0,3601,987050,201953,12c, ,102 002,10204,E-216,0, ,1, , ,17V1.1,0,223.4998653,1892.843211,17250,13,0,1105,1104,8,1800,37.29800034,37.29800034,0,37.29800034,0,298.3840027 +1105,MN,539,44,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,207 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,207 SULLIVAN ASSOCIAT,1250,5000,0,5000,0,0,0,0,0,0,2,1,5,10,10,25,50,25,40, ,0,N,5,5,271750,544529,0,0,1900,0,0,South Village Historic District, ,4,3.44,0,6.5,1,1005390044,0,65,984248,204889,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,150.9858856,1235.831967,272779,9,0,1106,1105,5,1125,25.23555565,26.88777733,1.65222168,25.64617767,0.639921212,128.2308884 +1106,MN,545,8,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,712 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0,P,712 BROADWAY CORP,6870,64326,13051,51275,0,13051,0,0,0,0,2,2,11,18,20,50,137.58,25,138, ,3,N,5,2,167850,5893200,151670,151670,1895,1985,0,NoHo Historic District, ,9.36,0,5,6.5,1,1005450008,0,57,986056,204792,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,388.0740173,7239.945359,5725350,9,0,1107,1106,33,7425,38.29555511,43.08889008,4.793334961,38.67262592,1.223232809,1276.196655 +1107,MN,288,41,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,515 GRAND STREET,R7-2, , , , , , , , , ,N,S1,4,0, ,GEORGE & NATALIE LLUC,765,1507,573,934,0,573,0,0,0,0,2,1,3,1,2,16.67,47,16.67,35, ,0,Y,5,5,16916,32616,1550,1550,1910,0,0, , ,1.97,3.44,0,6.5,1,1002880041,0,202,989233,199555,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,127.1635342,814.9795547,15700,13,0,1108,1107,4,900,29.70800018,31.18222237,1.474222183,30.07655573,0.638356931,120.3062229 +1108,MN,7,28,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,28 WATER STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,MAYIM MGMT LLC,769,4104,4104,0,1026,3078,0,0,0,0,2,1,4.5,0,3,19,53.92,19,54, ,3,Y,5,2,247500,355050,0,0,1920,0,0,Fraunces Tavern Block Historic District, ,5.34,10,15,15,1,1000070028,0,9,981178,195493,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,173.5558388,1007.979735,107550,17,1,1109,1108,4,900,6.517333508,7.059999943,0.542666435,6.653000116,0.234981459,26.61200047 +1109,MN,881,40,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,340 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,THIRD & 25,2045,8088,1200,6888,0,1200,0,0,0,0,2,1,5,16,17,24.33,84,24,82, ,2,Y,3,2,315000,1492650,0,0,1900,0,0, , ,3.96,10,2,10,1,1008810040,0,68,989119,209000,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,227.5130106,2324.397775,1177650,11,0,1110,1109,11,2475,30.02400017,30.02400017,0,30.02400017,0,330.2640018 +1110,MN,859,77,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,10 EAST 30 STREET,C5-2, , , , , , , , , ,N,G1,10,0, ,AERO PARKING CORP,7159,48500,48500,0,0,0,48500,0,0,0,2,1,8,0,1,72.5,98.75,73,84, ,3,N,5,0,1125000,4074300,0,0,1958,0,0, , ,6.77,10,10,10,1,1008590077,0,74,988211,210840,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,352.3110685,7530.597947,2949300,10,0,1111,1110,34,7650,38.75111008,40.70700073,1.955890656,40.53387317,0.502038351,1378.151688 +1111,MN,489,30,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,73 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,GEORGE SANTANGELO,2620,12141,810,11331,0,810,0,0,0,0,2,1,6,21,22,28.17,100,28,86, ,3,N,5,2,194850,1764900,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.63,3.44,0,6.5,1,1004890030,0,47,983373,203266,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,255.2831327,2538.336166,1570050,0,1,1112,1111,11,2475,9.686666489,12.97333336,3.28666687,9.985454386,0.944850293,109.8399982 +1112,MN,877,25,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,48 GRAMERCY PARK NORTH,R9A, , , , , , , , , ,N,D4,3,0,P,48 GRAMERCY PARK NO I,2307,7866,0,7866,0,0,0,0,0,0,2,1,5,8,8,24,98.75,24,86,E,3,N,5,2,164520,587061,7080,7080,1930,1996,2012, , ,3.41,7.52,0,7.52,1,1008770025,0,68,988351,208246,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,245.1373594,2331.01268,422541,5,0,1113,1112,10,2250,22.27111053,22.27111053,0,22.27111053,0,222.7111053 +1113,MN,88,14,101,21,1011,2,1,10007,L010,1,15,7700,1,1,1A,10 BARCLAY STREET,C5-3, , , , , ,LM, , , ,N,D8,3,0,P,BARCLAY STREET REALTY,15148,531000,31000,500000,3000,12000,16000,0,0,0,2,1,58,396,400,150.23,100.83,150,62, ,2,Y,5,2,2820600,65290500,1578600,64048500,2006,0,0, , ,35.05,10,15,15,1,1000880014,0,21,981715,198757,12b, ,101S019,10102, ,1000880014,4/2/2007,1, , ,17V1.1,0,511.0725357,15745.4481,62469900,3,0,1114,1113,71,15975,27.47999954,31.56599998,4.086000443,30.1906634,1.422125532,2143.537102 +1114,MN,904,5,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,205 EAST 23 STREET,C2-8A, , , , , , , , , ,N,W3,8,0, ,VISUAL ARTS HOLDING C,4818,27449,27449,0,0,0,0,0,0,27449,2,1,6,0,3,48.75,98.75,48.75,87, ,3,Y,5,2,504000,2457450,0,0,1925,0,0, , ,5.7,10,2,10,1,1009040005,0,64,989117,208456,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,297.9738849,4836.706295,1953450,11,0,1115,1114,22,4950,21.18099976,21.18099976,0,21.18099976,0,465.9819946 +1115,MN,459,45,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,9 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,COOPER SQ. HOUSING DE,2084,8750,0,8750,0,0,0,0,0,0,2,1,5,13,13,25,87,25,70, ,2,Y,5,2,128700,834750,128700,834750,1920,1997,0,East Village/Lower East Side Historic Di, ,4.2,4,0,4,1,1004590045,0,38,986753,203875,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,234.3457302,2275.995585,706050,1,0,1116,1115,9,2025,35.86666489,36.25400162,0.387336731,36.2109642,0.121728191,325.8986778 +1116,MN,283,16,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,139 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,CHURCH OF ST TERESA,2295,5520,5520,0,0,0,0,0,0,5520,2,1,4,8,9,25.5,90,26,70,E,3,N,5,1,210600,372150,210600,372150,1910,0,0, , ,2.41,3.44,0,6.5,1,1002830016,0,6,986809,199235,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,238.3490635,2471.105485,161550,16,0,1117,1116,11,2475,28.23333359,28.23333359,0,28.23333359,0,310.5666695 +1117,MN,451,56,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,311 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,ATLAS 311 HOLDINGS GR,2306,5781,0,5781,0,0,0,0,0,0,2,1,6,7,7,25,92.25,25,70, ,3,N,5,1,119015,474910,0,0,1900,2005,0, , ,2.51,4,0,4,1,1004510056,0,40,988007,204902,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.8004649,2410.006639,355895,12,0,1118,1117,11,2475,23.10400009,23.62299919,0.5189991,23.48145398,0.231142358,258.2959938 +1118,MN,626,40,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,51 8 AVENUE,C1-6, , , , , , , , , ,N,D4,3,0, ,24 HORATIO STREET COR,1628,9696,1600,8096,0,1600,0,0,0,0,2,1,6,8,9,22,74,22,74, ,3,N,3,2,258801,867980,2360,2360,1910,1988,0,Greenwich Village Historic District, ,5.96,3.44,2,6.5,1,1006260040,0,77,983119,208391,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,201.9255113,1847.195853,609179,8,0,1119,1118,5,1125,17.68444443,19.61522293,1.930778503,18.84166679,0.633326233,94.20833397 +1119,MN,717,5,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,459 WEST 19 STREET,R8A, , , ,C2-5, , , , , ,N,K1,5,0, ,CHELSEA WEST 19 PROPE,3800,3800,3800,0,0,3800,0,0,0,0,2,1,1,0,1,45,92,45,92, ,0,Y,5,5,213750,1936350,0,0,1910,2000,0, , ,1,6,0,6,1,1007170005,0,89,982767,210772,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,279.6594514,3969.723625,1722600,7,1,1120,1119,18,4050,9.621110916,9.621110916,0,9.621110916,0,173.1799965 +1120,MN,883,78,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,124 EAST 28 STREET,C4-5A, , , , , , , , , ,N,H1,5,0, ,HISTORIC INNS OF NEWY,9973,58163,0,0,0,0,0,0,0,0,2,2,8,0,1,60,197.5,60,197.5, ,3,Y,4,1,2786850,10601550,0,0,1906,2000,2000, , ,5.83,4,4,4,1,1008830078,0,68,988890,209828,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,532.4730022,10429.67113,7814700,11,0,1121,1120,47,10575,33.29444504,36.98666763,3.692222595,33.39191315,0.54530752,1569.419918 +1121,MN,531,19,102,55.02,1000,2,1,10003,L009,9,15,5700,1,2,2A,381 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O9,5,0,X,ROBERT RAUSCHENBERG F,3236,9180,6426,2754,4590,1836,0,0,0,0,2,1,5,1,2,27.08,119.5,27.08,119, ,2,N,5,0,158400,976950,158400,976950,1899,0,0,NoHo Historic District, ,2.84,0,5,6.5,1,1005310019,0,5502,986174,204295,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,298.3197794,3493.7077,818550,9,0,1122,1121,15,3375,43.81700134,43.81700134,0,43.81700134,0,657.2550201 +1122,MN,386,38,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,43 AVENUE C,R7A, , , ,C2-5, , , , , ,N,D7,4,0,P,"MILL BERKLEY, LLC",4900,24570,7780,16790,0,3000,0,0,0,4780,2,1,7,22,24,54.42,90,54,90, ,2,N,5,0,1530000,2666700,0,0,2003,2002,0, , ,5.01,4,0,4,1,1003860038,0,2601,989623,202378,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,296.5893684,5191.225413,1136700,1,0,1123,1122,22,4950,12.88555527,12.88555527,0,12.88555527,0,283.4822159 +1123,MN,588,16,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,38 GROVE STREET,R6, , , , , , , , , ,N,A5,1,0, ,38 GROVE STREET LLC,2100,4525,0,4525,0,0,0,0,0,0,2,1,3,1,1,21,100,21,70, ,3,N,5,2,52871,363963,0,0,1915,1987,2008,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1005880016,0,73,983006,206159,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.0797657,2174.175997,311092,9,0,1124,1123,10,2250,18.94666672,22.91888809,3.972221375,19.88877773,1.36665345,198.8877773 +1124,MN,204,34,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,181 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,ROCKFELD GROUP CANAL,1570,7925,7925,0,6375,1550,0,0,0,0,2,1,5,0,5,20.83,74.67,21,64,E,3,Y,5,2,238500,1008450,0,0,1915,1992,0, , ,5.05,3.44,6,6.5,1,1002040034,0,41,984957,200486,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,195.929602,1670.142136,769950,14,0,1125,1124,7,1575,36.00444412,36.00444412,0,36.00444412,0,252.0311089 +1125,MN,544,20,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,439 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,LAFAYETTE LOFTS INC,4135,23328,3888,19440,0,3888,0,0,0,0,2,1,6,5,6,52.5,79.5,53,73, ,1,Y,5,2,221522,1156720,9440,9440,1900,0,0,NoHo Historic District, ,5.64,0,5,6.5,1,1005440020,0,57,986602,205001,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,277.6901801,4552.809355,935198,9,0,1126,1125,20,4500,41.41500092,42.98666763,1.571666718,41.58211193,0.417094533,831.6422386 +1126,MN,503,19,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,180 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,180 PRINCE STREET LLC,2508,11448,765,10683,0,765,0,0,0,0,2,1,6,20,21,25,101.33,25,74, ,3,N,5,2,132750,1508400,0,0,1900,1961,0,Sullivan-Thompson Historic District, ,4.56,3.44,0,6.5,1,1005030019,0,49,983652,203833,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,260.2996913,2641.357277,1375650,0,0,1127,1126,12,2700,15.37666702,20.08555603,4.708889008,15.76907444,1.301468168,189.2288933 +1127,MN,824,36,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,172 5 AVENUE,C6-4M, , , , , , , , , ,N,D7,4,0, ,THOR 172 FIFTH AVENUE,2375,13060,1783,11277,0,1783,0,0,0,0,2,1,6,25,26,23.75,100,24,100,E,3,N,3,2,481500,2161350,0,0,1930,1989,0,Ladies' Mile Historic District, ,5.5,10,10,10,1,1008240036,0,58,986935,209281,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,263.0812802,2744.709848,1679850,2,0,1128,1127,12,2700,34.46500015,35.02222061,0.557220459,34.51143519,0.154007599,414.1372223 +1128,MN,276,4,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,9 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,9 MONROE REALTY INC,2542,10085,1950,8135,0,1950,0,0,0,0,2,1,5,16,17,25.08,101.33,25,94, ,3,N,5,2,113400,600750,0,0,1900,1987,0, , ,3.97,3.44,0,6.5,1,1002760004,0,8,985329,198551,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.7668912,2609.593633,487350,16,0,1129,1128,11,2475,13.17555523,13.17555523,0,13.17555523,0,144.9311075 +1129,MN,832,32,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,11 WEST 30 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,EMPIRE STATE LOFTS LT,4937,62091,7800,54291,4000,3800,0,0,0,0,2,1,15,17,23,50,98.75,50,99, ,2,N,5,2,639000,5561100,16520,16520,1927,1987,0, , ,12.58,0,10,10,1,1008320032,0,76,987794,211249,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,303.6852225,5098.224241,4922100,10,0,1130,1129,24,5400,41.02666855,45.18111038,4.154441834,41.78423293,1.437351364,1002.82159 +1130,MN,590,85,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,25 JONES STREET,R6, , , , , , , , , ,N,C4,2,0, ,JONES STREET BUILDING,2500,9375,0,9375,0,0,0,0,0,0,2,1,5,20,20,25,100,25,74, ,3,N,5,2,293400,1410750,0,0,1890,1980,0,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005900085,0,67,983453,206005,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.0329143,2550.331393,1117350,9,0,1131,1130,11,2475,19.74111176,19.74111176,0,19.74111176,0,217.1522293 +1131,MN,619,65,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,194 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,WEST 10TH STREET LLC,2407,9530,0,9530,0,0,0,0,0,0,2,1,5,20,20,25.33,95,25,82, ,2,N,5,2,292500,2255850,0,0,1901,1986,0,Greenwich Village Historic District, ,3.96,2.43,0,4.8,1,1006190065,0,73,983258,206678,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,245.1163606,2467.687044,1963350,9,0,1132,1131,10,2250,23.46111107,23.46111107,0,23.46111107,0,234.6111107 +1132,MN,572,17,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,38 WEST 9 STREET,R6, , , , , , , , , ,N,D4,3,0, ,38-50 WEST 9 STREET C,15121,73098,0,73098,0,0,0,0,0,0,2,3,6,54,54,161,93.92,47,82, ,3,N,5,2,1210500,5591700,178919,178919,1900,1987,0,Greenwich Village Historic District, ,4.83,2.43,0,4.8,1,1005720017,0,63,984766,206528,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,519.7264162,15845.76017,4381200,8,0,1133,1132,70,15750,18.70499992,22.66444397,3.959444046,18.9011904,0.686978491,1323.083328 +1133,MN,925,30,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,353 EAST 19 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,19TH HOLE MY FAVORITE,1840,4000,0,3000,0,0,0,0,0,0,2,1,3,2,2,20,92,20,50, ,3,N,5,1,94589,269164,0,0,1920,1967,2005, , ,2.17,3,0,3,1,1009250030,0,64,989563,207013,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.7279542,1927.699397,174575,5,0,1134,1133,8,1800,15.27999973,17.73999977,2.460000038,16.0340277,1.042062667,128.2722216 +1134,MN,701,24,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,517 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,E7,6,0, ,PROJECT 29 WEST CHELS,9875,55000,55000,0,0,0,0,55000,0,0,2,3,6,0,2,100,98.75,100,98,E,3,N,5,2,666450,2434500,0,0,1920,1986,0, , ,5.57,7.52,6,10,1,1007010024,0,99,983584,213287,8b, ,105S015,10302,E-142,0, ,1, , ,17V1.1,0,404.9928986,10249.14975,1768050,6,1,1135,1134,47,10575,13.46000004,13.66777802,0.207777977,13.46690312,0.034066006,632.9444466 +1135,MN,520,79,102,37,2000,2,3,10012,L020,1,15,6800,1,2,1A,51 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,51 MACDOUGAL LLC,1937,5240,525,4715,0,525,0,0,0,0,2,1,4,5,6,25.5,80.42,25,47, ,2,Y,3,5,83228,224152,0,0,1920,1988,0,Charlton-King-Vandam Historic District, ,2.71,3.44,0,6.5,1,1005200079,0,37,983561,204491,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,216.1619652,2104.112378,140924,9,0,1136,1135,9,2025,21.50111198,24.21111107,2.709999084,22.26617326,0.985568063,200.3955593 +1136,MN,411,7502,103,30.01,2001,1,1,10002,L018,7,14,6600,2,3, ,157 LUDLOW STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2188,10611,1888,8723,0,1888,0,0,0,0,2,1,7,10,11,25,87.5,25,73, ,0,N,5,5,202502,1583552,2360,2360,1900,2004,2004, , ,4.85,4,4,4,1,1004117502,1426,3001,987536,201960,12c, ,102 003,10204, ,1004110020,4/21/2005,1, , ,17V1.1,7,228.1775715,2200.593225,1381050,1,0,1137,1136,9,2025,31.68099976,31.68099976,0,31.68099976,0,285.1289978 +1137,MN,633,17,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,320 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,S A WRIGHT,1260,2535,0,2535,0,0,0,0,0,0,2,1,3,2,2,20.92,60.17,20.75,40, ,2,Y,5,2,58796,152556,1550,1550,1842,0,0,Greenwich Village Historic District, ,2.01,2.43,0,4.8,1,1006330017,0,75,982271,207246,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,171.7631147,1379.668354,93760,9,0,1138,1137,7,1575,15.64700031,18.37711143,2.730111122,16.1890004,0.928121265,113.3230028 +1138,MN,392,5,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,151 AVENUE B,R7A, , , , , , , , , ,N,C2,2,0, ,151 AVENUE B LLC,2139,4416,0,4416,0,0,0,0,0,0,2,1,4,5,5,23,93,23,54, ,3,N,5,5,14934,98490,0,0,1900,0,0, ,CHARLIE PARKER RESIDENCE,2.06,4,0,4,1,1003920005,0,28,989831,203960,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,236.6544706,2266.42048,83556,12,1,1139,1138,11,2475,7.576999664,11.11222172,3.535222054,8.532524889,1.390559459,93.85777378 +1139,MN,821,19,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,37 WEST 19 STREET,C6-4A, , , , , , , , , ,N,C7,4,0,P,CHELSEA SUNSHINE LLC,2300,14600,2600,12000,0,2600,0,0,0,0,2,1,7,7,8,25,92,25,87,E,3,N,5,2,253386,536862,0,0,1910,2006,0,Ladies' Mile Historic District, ,6.35,10,10,10,1,1008210019,0,54,986144,208905,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,243.0637859,2413.778741,283476,7,0,1140,1139,11,2475,32.91555405,32.91555405,0,32.91555405,0,362.0710945 +1140,MN,479,7501,102,41,1001,2,1,10012,E055,5,15,6800,1,2, ,165 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,RM,4,0, ,OWNER / AGENT,1750,5534,3166,2368,1644,1522,0,0,0,0,2,1,2,4,7,25.08,69.67,0,0, ,0,Y,5,5,105711,808324,23304,202282,1900,1988,0, , ,3.16,3.44,6,6.5,1,1004797501,671,41,985614,201927,12c, ,101N074,10206, ,1004790024,12/9/1989,1, , ,17V1.1,7,193.9690288,1877.538865,702613,0,0,1141,1140,8,1800,38.05444717,39.46889114,1.41444397,38.23125267,0.467783373,305.8500214 +1141,MN,900,54,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,206 EAST 20 STREET,C1-9A,R8B, , , , , , , , ,Y,B9,1,0, ,"SAHAI, SUDHA",1515,3545,0,3545,0,0,0,0,0,0,2,1,4,2,2,19.42,78,19.42,47.38, ,3,N,5,2,82037,147478,0,0,1910,2013,2013, , ,2.34,10,2,10,1,1009000054,0,64,988641,207639,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,195.5247103,1431.397259,65441,5,0,1142,1141,6,1350,23.24022102,23.24022102,0,23.24022102,0,139.4413261 +1142,MN,606,64,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,455 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,453 LLC,1205,2805,850,1955,0,850,0,0,0,0,2,1,3,2,3,20,52,20,40, ,3,Y,5,2,43694,112803,0,0,1946,0,0,Greenwich Village Historic District, ,2.33,3.44,2,6.5,1,1006060064,0,71,984601,207133,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,169.3434396,1249.47558,69109,8,0,1143,1142,5,1125,22.88899994,22.88899994,0,22.88899994,0,114.4449997 +1143,MN,205,28,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,101 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,O6,5,0, ,ENGSHELOCK CORP,2492,18200,18200,0,13800,2200,0,0,2200,0,2,1,7,0,12,25,99.67,25,92, ,3,N,5,2,186750,1523250,0,0,1910,2003,0, , ,7.3,6.02,6,6.5,1,1002050028,0,41,984871,200609,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,257.2474388,2657.685936,1336500,0,0,1144,1143,11,2475,31.4109993,31.4109993,0,31.4109993,0,345.5209923 +1144,MN,459,7502,103,38,3001,1,2,10003,E028,9,14,6500,3,3, ,52 EAST 4 STREET,C6-1,R8B, , , , , , , , ,Y,RM,4,0, , ,5793,26790,10442,16348,7550,2264,628,0,0,0,2,1,15,14,17,43.59,93.75,43.58,100, ,1,Y,0,5,571501,5192099,149675,2670739,2007,0,0, , ,4.62,3.44,6,6.5,1,1004597502,2025,38,986673,203972,12c, ,102 009,10205, ,1004590004,5/28/2009,1, , ,17V1.1,7,455.8055338,5964.773475,4620600,1,0,1145,1144,26,5850,35.86666489,39.66777802,3.801113129,36.01286155,0.730983294,936.3344002 +1145,MN,830,67,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1A,32 WEST 29 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,32-34 WEST 29TH STREE,4351,50150,0,0,0,0,0,0,0,0,2,1,22,0,1,44,98.75,44,98, ,3,N,5,0,2937150,15762600,0,0,2012,2011,0, , ,11.53,0,10,10,1,1008300067,0,76,987245,211080,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,287.6353159,4286.180354,12825500,6,0,1146,1145,19,4275,44.45100021,47.75999832,3.308998108,46.45980694,0.966365454,882.7363319 +1146,MN,575,3,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,466 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,C7,4,0, ,"466 ASSOCIATES,",3790,9231,2200,7031,0,2200,0,0,0,0,2,3,3,9,12,54.66,69.33,54.7,40,E,0,Y,5,0,705150,2179800,0,0,1900,0,0,Greenwich Village Historic District, ,2.44,3.44,2,6.5,1,1005750003,0,63,984850,207246,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,255.9616346,4034.370238,1474650,8,0,1147,1146,18,4050,23.28111076,24.42399979,1.142889023,24.30491341,0.337660163,437.4884415 +1147,MN,521,75,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,312 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,D5,3,0,P,"BREMEN HOUSE, INC.",5000,23000,7110,15890,0,7110,0,0,0,0,2,1,4,22,24,50.08,101.42,50,88, ,3,Y,5,2,814950,3492000,0,0,1920,2004,0,Noho East Historic District, ,4.6,3.44,6,6.5,1,1005210075,0,5502,986280,203445,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,306.9624935,5198.159627,2677050,9,0,1148,1147,24,5400,43.41222,43.41222,0,43.41222,0,1041.89328 +1148,MN,527,16,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,22-24 DOWNING STREET,R6,R7-2, , ,C1-5, , , , , ,Y,B1,1,0, ,54 SAA LLC,4918,10575,0,10575,0,0,0,0,0,0,2,2,5,2,2,56.33,75,47,45, ,0,Y,5,2,142574,509817,0,0,2009,0,0,Greenwich Village Historic District Exte, ,2.15,2.43,0,4.8,1,1005270016,0,67,983394,205000,12a, ,103 006,10206, ,1005270016,4/19/2012,1, , ,17V1.1,0,264.6948956,4265.564738,367243,9,0,1149,1148,19,4275,15.38333321,17.82600021,2.442667007,15.69804673,0.630031374,298.262888 +1149,MN,231,10,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,425 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"425 BWAY, LLC",2500,12500,12500,0,7500,5000,0,0,0,0,2,1,5,0,4,25.08,99.92,25,100, ,3,Y,5,2,197550,3250350,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1002310010,0,47,983734,201544,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,261.8323834,2719.876568,3052800,0,0,1150,1149,12,2700,12.89000034,12.89000034,0,12.89000034,0,154.6800041 +1150,MN,218,8,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,434 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,PIER 29 LOFTS CORP,3963,27743,3963,23780,0,3963,0,0,0,0,2,1,7,10,10,50.17,79,50.17,79,E,2,Y,3,2,138361,2234895,4720,4720,1920,2009,2008,Tribeca North Historic District, ,7,6.02,6,6.5,1,1002180008,0,39,981494,202558,12a, ,101N040,10105, ,1002180008,12/29/1993,1, ,1,17V1.1,0,265.7805265,4216.20405,2096530,0,1,1151,1150,18,4050,7.816666603,7.816666603,0,7.816666603,0,140.6999989 +1151,MN,15,22,101,13,2005,2,1,10006,E010,1,15,7700,1,1,1A,21 WEST STREET,C5-5, , , , , ,LM, , , ,N,D8,3,0,P,WEST EDEN,13465,335746,4000,331746,0,4000,0,0,0,0,2,1,31,293,295,75,179.42,75,179.42, ,2,Y,3,0,3433500,30239550,0,0,1931,0,0, ,21 WEST STREET BUILDING,24.93,10,15,15,1,1000150022,0,13,979943,196631,12b, ,101S003,10101, ,0, ,1,1,1,17V1.1,0,515.5371568,13537.97324,26806100,15,1,1152,1151,59,13275,7.869999886,7.971111298,0.101111412,7.871713638,0.013051552,464.4311047 +1152,MN,906,1,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,201 EAST 25 STREET,C2-8,R8B, , , , , , , , ,Y,D4,3,0,P,20125 OWNERS CORPORAT,12838,170080,16015,154065,0,7866,8149,0,0,0,2,1,18,164,166,105,123.44,94,123,G,2,Y,3,2,1800000,19438650,188271,188271,1965,1974,0, , ,13.25,10,2,10,1,1009060001,0,66,989311,208951,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,468.505262,13496.50331,17638700,11,0,1153,1152,58,13050,30.26000023,35.05555344,4.795553207,30.61773928,0.888889039,1775.828878 +1153,MN,513,9,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,146 GREENE STREET,M1-5A, , , , , , , , , ,N,C6,2,0, ,150 GREENE ST CORP,2500,12500,2300,10200,0,2300,0,0,0,0,2,1,4,3,4,25,100,25,92, ,3,N,5,0,97710,490111,7343,7343,1900,2008,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1005130009,0,49,984684,203672,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.4728503,2569.375137,392401,9,0,1154,1153,11,2475,26.62555504,26.62555504,0,26.62555504,0,292.8811054 +1154,MN,578,63,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,34 DOMINICK STREET,M1-6, , , , , ,HSQ, , , ,N,B9,1,0, ,"NEBORAK, ROBERT G.",1700,3120,0,3120,0,0,0,0,0,0,2,1,3,2,2,20,85,20,52, ,2,N,5,2,20693,60913,1550,1550,1901,0,0, ,34 DOMINICK STREET HOUSE,1.84,0,10,10,1,1005780063,0,37,982397,203378,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,212.8418072,1715.372763,40220,0,1,1155,1154,8,1800,11.90100002,13.53999996,1.638999939,12.13169444,0.536566238,97.05355549 +1155,MN,348,75,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,168 DELANCEY STREET,R8A, , , ,C1-5, , , , , ,N,K1,5,0,P,CITY OF NEW YORK,2500,4500,4500,0,0,4500,0,0,0,0,2,1,1,0,1,25,100,25,100, ,3,N,5,2,249300,735750,0,0,1982,0,0, , ,1.8,6,0,6,1,1003480075,0,1402,988330,200873,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,256.7978682,2582.242497,486450,13,0,1156,1155,12,2700,23.08555603,24.87333298,1.787776947,23.23453744,0.494115445,278.8144493 +1156,MN,913,21,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,241 EAST 32 STREET,R8B, , , , , , , , , ,N,O2,5,0,P,TIBET FUND,1761,3264,3264,0,3264,0,0,0,0,0,2,1,3,0,1,17.83,98.75,17.83,48, ,3,N,5,0,116550,277650,97321,231839,1901,0,0, , ,1.85,4,0,4,1,1009130021,0,70,990508,210332,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,225.7471846,1625.978136,161100,10,0,1157,1156,8,1800,19.78333282,22.72100067,2.937667847,22.35379219,0.97154232,178.8303375 +1157,MN,277,16,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,105 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,TOM JACK S,2514,9075,1800,7275,0,1800,0,0,0,0,2,1,5,8,10,25,100.58,25,72, ,3,N,5,2,50139,293627,2360,2360,1900,0,0, , ,3.61,3.44,0,6.5,1,1002770016,0,8,985601,198846,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,253.0033383,2455.291266,243488,16,0,1158,1157,11,2475,26.91300011,28.94111061,2.028110504,27.34873737,0.779164403,300.8361111 +1158,MN,769,3,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,184 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,EIGHTH-19TH CO.,2331,7611,2245,5366,0,2245,0,0,0,0,2,1,5,8,9,26.42,88.25,26,88,E,2,N,5,2,119094,390968,0,0,1900,1987,0, , ,3.27,4,2,4,1,1007690003,0,87,984300,209950,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,229.2313774,2356.607893,271874,7,0,1159,1158,10,2250,21.88888931,22.17733383,0.288444519,21.91773376,0.086533356,219.1773376 +1159,MN,175,2,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,74 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,S4,4,0,P,74 FRANKLIN ASSOC,2621,9796,2500,7296,0,2500,0,0,0,0,2,1,5,4,5,26.17,100,26,100, ,2,N,5,2,164128,980257,0,0,1915,1997,2003,Tribeca East Historic District, ,3.74,6.02,6,6.5,1,1001750002,0,33,983078,200862,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,257.9478021,2692.663325,816129,14,0,1160,1159,13,2925,17.40222168,17.40222168,0,17.40222168,0,226.2288818 +1160,MN,205,21,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,115 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,115 MOTT ST REALTY CO,2517,9810,1280,8530,0,1280,0,0,0,0,2,2,5,13,15,25.17,100,25,50, ,3,Y,5,2,116100,744300,0,0,1900,1986,0, , ,3.9,6.02,6,6.5,1,1002050021,0,41,984946,200768,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,252.1251012,2394.504563,628200,0,0,1161,1160,10,2250,31.4109993,31.4109993,0,31.4109993,0,314.109993 +1161,MN,179,11,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,1 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,ONE WORTH CORP,3379,19285,5785,13500,1500,4285,0,0,0,0,2,1,6,9,11,45.5,100,46,100,E,2,Y,5,2,270450,2112300,4720,4720,1915,0,0,Tribeca West Historic District, ,5.71,6.02,6,6.5,1,1001790011,0,33,981907,200964,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,294.2194288,3535.455363,1841850,14,1,1162,1161,16,3600,10.17444515,17.16555595,6.991110802,11.22086865,2.220685282,179.5338984 +1162,MN,846,66,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,14 EAST 18 STREET,M1-5M, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,1963,5623,5623,0,0,0,0,0,0,5623,2,1,3,0,1,25.17,78,25.17,78, ,0,N,5,2,281250,661500,281250,661500,1894,0,0,Ladies' Mile Historic District, ,2.86,0,5,6.5,1,1008460066,0,52,986743,208134,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,222.0435178,2187.908252,380250,7,0,1163,1162,10,2250,39.36555481,40.9355545,1.569999695,39.57507706,0.479766848,395.7507706 +1163,MN,231,11,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,423 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0,P,419 MM LLC,2504,4808,4808,0,2308,2500,0,0,0,0,2,1,3,0,4,25.08,100,25,100,E,3,Y,5,2,607500,1752750,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,1.92,0,5,6.5,1,1002310011,0,47,983720,201523,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,259.481539,2593.833637,1145250,0,0,1164,1163,11,2475,12.89000034,12.89000034,0,12.89000034,0,141.7900038 +1164,MN,235,13,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,165 GRAND STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,224 CENTRE REALTY LLC,7641,44034,28767,15267,23533,5234,0,0,0,0,2,1,6,3,10,70.83,104.83,71,105, ,3,Y,3,2,751500,5547150,0,0,1915,1956,0, ,ODD FELLOWS HALL,5.76,0,5,6.5,1,1002350013,0,41,984685,201401,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,392.5369629,8715.603798,4795650,0,0,1165,1164,39,8775,18.99699974,25,6.003000259,19.66440147,1.658072983,766.9116573 +1165,MN,404,46,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,319 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"319 EAST 10TH STREET,",2369,5377,0,5377,0,0,0,0,0,0,2,1,4,5,5,25,94.75,25,50, ,3,N,5,5,23944,233009,0,0,1900,1987,2011,East 10th Street Historic District, ,2.27,4,0,4,1,1004040046,0,34,989539,204336,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,246.0729118,2482.550887,209065,12,0,1166,1165,12,2700,12.53199959,14.57800007,2.046000481,13.28249987,0.792036647,159.3899984 +1166,MN,768,4,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,168 8 AVENUE,C1-6A,C6-2A, , , , , , , , ,Y,C4,2,0, ,"FAMILY OF LOUIS, LLC",2951,12160,750,11410,0,750,0,0,0,0,2,1,5,14,15,26.83,110,27,98, ,3,N,5,2,152550,1653300,0,0,1901,1981,0, , ,4.12,4,2,4,1,1007680004,0,87,984199,209745,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,271.8704944,2781.582698,1500750,7,0,1167,1166,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +1167,MN,720,39,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,417 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,417 WEST 22ND OWNERS,1975,4606,0,4606,0,0,0,0,0,0,2,1,4,4,4,20,98.75,20,54, ,3,N,5,2,114106,380250,7080,7080,1900,1985,2000,Chelsea Historic District Extension, ,2.33,3,0,3,1,1007200039,0,93,983621,211164,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,227.0093813,1815.085404,266144,2,1,1168,1167,9,2025,9.369999886,10.77999973,1.409999847,9.670246866,0.479050519,87.03222179 +1168,MN,903,39,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,240 EAST 23 STREET,C2-8A, , , , , ,TA, , , ,N,S9,4,0,P,WING FAT PROPERTY INC,2057,4727,2056,2671,0,2056,0,0,0,0,2,1,4,4,7,20.83,98.75,20.83,42.75,E,3,N,5,2,68909,541452,0,0,1920,1954,0, , ,2.3,10,2,10,1,1009030039,0,64,989317,208121,8d,Y,104 007,10308, ,0, ,1, , ,17V1.1,0,244.5609535,2089.005694,472543,11,0,1169,1168,9,2025,19.86555672,20.00833321,0.142776489,19.88142077,0.044870322,178.9327869 +1169,MN,481,20,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,52 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"KC SPRING CORP.,",2687,9890,790,9100,0,790,0,0,0,0,2,2,5,8,9,25.08,110.33,25,48, ,0,Y,5,2,128087,622502,0,0,1900,0,0, , ,3.68,6.02,6,6.5,1,1004810020,0,41,985183,202271,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,277.9069497,2913.582416,494415,0,0,1170,1169,12,2700,35.01599884,38.50444412,3.488445282,35.75848039,1.299020551,429.1017647 +1170,MN,828,9,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,37 WEST 26 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,KIAMIE PRINCESS MARIO,9875,112259,102918,9341,93418,9500,0,0,0,0,2,1,12,2,25,100,98.75,100,94,E,3,N,5,2,2443500,8292600,0,0,1908,1986,0,Madison Square North Historic District, ,11.37,0,10,10,1,1008280009,0,58,986906,210562,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,400.8420117,10040.958,5849100,2,0,1171,1170,44,9900,42.13444519,45.4655571,3.331111908,42.28012701,0.668139157,1860.325588 +1171,MN,615,94,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,269 WEST 12 STREET,R6, , , , , , , , , ,N,C1,2,0, ,269 WEST 12 ST LLC,4543,15708,0,15708,0,0,0,0,0,0,2,2,6,29,29,54.08,84,54,70, ,2,Y,5,2,427950,2214000,0,0,1910,1987,0,Greenwich Village Historic District, ,3.46,2.43,0,4.8,1,1006150094,0,77,983325,208063,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,275.206514,4095.144571,1786050,8,0,1172,1171,17,3825,21.74111176,21.74111176,0,21.74111176,0,369.5988998 +1172,MN,306,22,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,283 GRAND STREET,C6-1G, , , , , , , , , ,N,K2,5,0, ,FAIR ONLY REAL ESTATE,5000,10000,10000,0,5000,5000,0,0,0,0,2,2,2,0,2,50,100,50,100, ,3,N,5,0,675000,1980450,0,0,2012,0,0, , ,2,3.44,6,6.5,1,1003060022,0,16,986306,200688,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,307.2303002,5240.808477,1305450,13,0,1173,1172,24,5400,37.59777832,42.29966736,4.701889038,38.13829215,1.260960498,915.3190117 +1173,MN,349,30,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,160 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,71 CLINTON ST LLC,2500,15472,1900,13572,0,1900,0,0,0,0,2,1,7,21,23,50,50,50,44,E,2,N,3,2,118350,2099700,0,0,1925,0,0, , ,6.19,4,0,4,1,1003490030,0,3001,988360,201320,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,212.8437668,2831.177857,1981350,13,0,1174,1173,13,2925,24.4422226,28.06500053,3.622777939,27.14559878,1.507914523,352.8927841 +1174,MN,424,27,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,141 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,K2,5,0, ,141 CHRYSTIE STREETCO,2520,4356,4356,0,0,4356,0,0,0,0,2,1,2,0,1,23.08,105.5,23,79, ,3,Y,5,2,225000,1044000,0,0,1930,2010,0, , ,1.73,7.52,6,7.5,1,1004240027,0,18,986090,201521,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,265.4848416,2627.76647,819000,13,0,1175,1174,11,2475,35.63777924,35.63777924,0,35.63777924,0,392.0155716 +1175,MN,774,69,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,254 WEST 25 STREET,R8A, , , , , , , , , ,N,D4,3,0, ,W 25TH ST OWNERS INC,4928,20456,0,20456,0,0,0,0,0,0,2,1,6,25,25,45,109.5,45,96, ,3,N,5,2,385200,1768050,139022,139022,1925,1988,0, , ,4.15,6,0,6,1,1007740069,0,91,985174,211045,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,314.7361265,5023.35076,1382850,2,0,1176,1175,22,4950,24.85199928,24.85199928,0,24.85199928,0,546.7439842 +1176,MN,587,56,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,74 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K2,5,0,P,37 BARROW STREET LLC,795,2822,2822,0,0,2822,0,0,0,0,2,1,2,0,1,56,41,40.66,55.58, ,3,Y,3,2,562500,1211400,0,0,1910,2014,0,Greenwich Village Historic District, ,3.55,3.44,2,6.5,1,1005870056,0,67,983174,206011,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,144.1040774,897.4447371,648900,9,0,1177,1176,3,675,17.76222229,22.37666702,4.614444733,19.30037053,2.175270108,57.9011116 +1177,MN,141,7505,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,176 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,ZENITH GODLY BLDG CON,3192,13577,2036,11541,0,0,0,0,0,2036,2,1,7,5,6,24.85,126.25,0,0, ,0,Y,0,5,102008,1804433,5130,5130,1910,0,0,Tribeca West Historic District, ,4.25,6.02,6,6.5,1,1001417505,1033,39,981509,200490,12a, ,101S/016,10104, ,1001410026,12/18/1998,1, , ,17V1.1,7,307.1462298,3110.34054,1702430,14,0,1178,1177,15,3375,16.8029995,16.88199997,0.079000473,16.80826619,0.01970618,252.1239929 +1178,MN,447,6,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,98 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,SELF RELIANCE ASSOCIA,2425,8200,1640,6560,0,1640,0,0,0,0,2,1,5,6,8,24.25,100,24,88,E,3,N,5,2,33988,318470,6797,63695,1900,1988,0,East Village/Lower East Side Historic Di, ,3.38,4,0,4,1,1004470006,0,38,987466,204163,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,259.1366554,2650.272725,284482,1,0,1179,1178,12,2700,28.15800095,37.03111267,8.873111725,28.89742692,2.452398526,346.7691231 +1179,MN,376,132,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,280 EAST 7 STREET,R8A, , , ,C1-5, , , , , ,N,C7,4,0, ,280 E. 7TH STREET COR,2738,6050,1210,4840,0,1210,0,0,0,0,2,2,5,7,10,53.17,25,29,25, ,3,N,5,5,13346,81049,0,0,1900,0,0, , ,2.21,6,0,6,1,1003760132,0,2602,990657,202727,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,162.7216997,1479.861867,67703,12,1,1180,1179,7,1575,7.864444256,11.2122221,3.347777843,8.74730151,1.205745515,61.23111057 +1180,MN,389,31,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,105 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,EAST VILLAGE RE HOLDI,1757,8004,840,7164,0,840,0,0,0,0,2,1,5,9,10,21.17,83,21,80, ,3,N,3,2,8113,39400,0,0,1900,1986,0, , ,4.56,4,0,4,1,1003890031,0,2602,990020,203083,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,213.3887031,1920.352542,31287,12,1,1181,1180,7,1575,7.700000286,8.663332939,0.963332653,7.837619237,0.337096208,54.86333466 +1181,MN,850,55,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,34 EAST 22 STREET,M1-5M, , , , , , , , , ,N,C5,2,0, ,"DANSAR REALTY, LLC",2592,12053,5096,6957,0,0,2548,0,0,2548,2,1,5,8,9,26.25,98.75,26,98,E,3,N,5,2,30876,791867,0,0,1920,1964,2008, , ,4.65,0,5,6.5,1,1008500055,0,56,987599,208779,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,260.55764,2717.090843,760991,11,0,1182,1181,12,2700,35.59999847,35.59999847,0,35.59999847,0,427.1999817 +1182,MN,90,24,101,15.01,1004,2,1,10038,E006,1,15,7700,1,1,1B,15 ANN STREET,C5-5, , , , , ,LM, , , ,N,S5,4,0, ,15 ANN ST CORP,1109,5929,1100,4829,0,1100,0,0,0,0,2,1,6,5,6,20,62.83,20,63, ,3,Y,5,5,298539,572400,0,0,1900,0,0, , ,5.35,10,15,15,1,1000900024,0,1501,982083,198315,12b, ,101S019,10103, ,0, ,1, , ,17V1.1,0,165.2227278,1242.678651,273861,3,0,1183,1182,6,1350,37.81000137,37.81000137,0,37.81000137,0,226.8600082 +1183,MN,418,57,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,274 GRAND STREET,C4-4A, , , , , , , , , ,N,S9,4,0, ,274 GRAND REALTY LLC,2192,8768,4384,4384,0,2192,0,2192,0,0,2,2,4,2,4,25,87.67,25,82,E,3,N,5,5,278725,405600,0,0,1920,0,0, , ,4,4,4,4,1,1004180057,0,18,986260,200881,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,227.8716123,2245.184603,126875,13,0,1184,1183,10,2250,37.89666748,37.89666748,0,37.89666748,0,378.9666748 +1184,MN,608,7504,102,71,2000,2,3,10011,Q018,6,15,6100,3,2, ,134 WEST 13 STREET,R6, , , , , , , , , ,N,R6,2,0, , ,2272,4040,0,4040,0,0,0,0,0,0,2,1,3,2,2,22,103.25,0,0, ,0,N,0,5,11468,109900,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006087504,1245,71,984532,207825,12c, ,103 027,10209, ,1006080022,8/26/2002,1, , ,17V1.1,7,259.3396385,2414.061591,98432,8,0,1185,1184,10,2250,24.04400063,29.48444557,5.440444946,26.24142265,2.032088542,262.4142265 +1185,MN,836,64,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,36 WEST 35 STREET,C6-4.5, , , , , ,MID, , , ,N,D4,3,0,P,36 WEST 35TH STREET A,3950,24646,1800,22846,0,1800,0,0,0,0,2,1,7,36,37,40,98.75,40,99,E,3,N,5,2,567000,2325150,9440,9440,1930,1988,0, , ,6.24,10,12,12,1,1008360064,0,76,988146,212393,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,282.6406433,3848.485782,1758150,10,0,1186,1185,17,3825,49.62900162,49.62900162,0,49.62900162,0,843.6930275 +1186,MN,542,46,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,109 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,109 MACDOUGAL STREET,1580,3902,1329,2573,0,1329,0,0,0,0,2,2,3,2,3,21.5,74.5,21.5,60, ,3,N,5,2,55336,138115,0,0,1901,2005,0,South Village Historic District, ,2.47,3.44,0,6.5,1,1005420046,0,65,984023,205208,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,200.7471587,1696.811803,82779,9,0,1187,1186,9,2025,18.38111115,18.38111115,0,18.38111115,0,165.4300003 +1187,MN,827,42,105,58,1004,2,2,10010,E001,13,15,5700,1,5,1B,208 5 AVENUE,C5-2, , , , , , , , , ,N,D0,3,0, ,MADISON SQUARE APARTM,3140,23261,3200,20061,0,3200,0,0,0,0,2,1,8,11,14,28.17,112.33,28,123, ,3,Y,4,2,270900,2872800,9850,9850,1915,1986,0,Madison Square North Historic District, ,7.41,10,10,10,1,1008270042,0,58,987362,210074,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,299.8848022,3289.88484,2601900,11,0,1188,1187,15,3375,40.94300079,40.94300079,0,40.94300079,0,614.1450119 +1188,MN,798,3,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,213 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S9,4,0, ,"EAST HOUSTON SEVENTH,",1040,3625,725,2900,0,725,0,0,0,0,2,1,5,6,8,17.25,60,17.25,42, ,0,N,5,5,58363,429678,0,0,1950,2009,2009, , ,3.49,6,0,6,1,1007980003,0,91,985425,210149,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,162.5852557,1178.103095,371315,2,0,1189,1188,6,1350,28.16444397,28.16444397,0,28.16444397,0,168.9866638 +1189,MN,613,60,102,71,4000,2,3,10014,Q018,6,15,6100,1,2,2K,59 GREENWICH AVENUE,C2-6, , , , , , , , , ,N,S3,4,0,P,59 GREENWICH LLC,1187,4140,520,3620,0,520,0,0,0,0,2,1,4,3,4,23,65,23,45, ,3,Y,5,5,175222,401394,0,0,1900,1986,0,Greenwich Village Historic District, ,3.49,3.44,2,6.5,1,1006130060,0,71,983958,207431,12a,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,181.7265976,1590.165823,226172,8,0,1190,1189,7,1575,23.14333344,24.61555481,1.472221375,23.35365077,0.515170165,163.4755554 +1190,MN,355,48,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,188 NORFOLK STREET,R8A, , , , , , , , , ,N,C4,2,0,P,186 NORFOLK LLC C/O G,1875,8568,0,8568,0,0,0,0,0,0,2,1,6,13,13,25,75,25,64, ,3,N,5,2,135000,781650,0,0,1900,1988,0, , ,4.57,6,0,6,1,1003550048,0,3001,988265,202152,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,203.7206625,1921.484895,646650,1,0,1191,1190,9,2025,23.94333458,27.37333298,3.429998398,24.32444551,1.077944501,218.9200096 +1191,MN,426,7501,103,36.01,3002,1,1,10002,L020,5,14,6500,2,3, ,215 BOWERY,C6-1, , , , , , , , , ,N,RM,4,0, , ,2241,8279,1555,6724,0,1555,0,0,0,0,2,1,5,8,9,21.3,93.7,22,95, ,0,Y,3,5,79922,512446,0,0,1900,1986,0, , ,3.69,3.44,6,6.5,1,1004267501,821,3601,986152,202181,12c, ,102 001,10204, ,1004260001,12/26/1992,1, , ,17V1.1,7,243.8889926,2496.88288,432524,13,0,1192,1191,11,2475,41.51444626,41.51444626,0,41.51444626,0,456.6589088 +1192,MN,923,11,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,313 EAST 17 STREET,R8A,R7B, , , , , , , , ,Y,I1,8,0,X,BETH ISRAEL HOSPITAL,11024,70848,70848,0,70848,0,0,0,0,0,2,1,12,0,2,104,106,104,96, ,3,N,5,2,2254500,7362900,2254500,7362900,1965,0,0, , ,6.43,6,0,6,1,1009230011,0,48,989055,206745,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,433.8928141,11747.95195,5108400,5,0,1193,1192,53,11925,16.06999969,21.59666634,5.526666641,16.49572297,1.304627572,874.2733173 +1193,MN,520,84,102,37,2000,2,3,10012,L020,1,15,6800,1,2,1A,1 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,431 HOLDING COMPANY,1335,5195,0,5195,0,0,0,0,0,0,2,1,5,10,10,18.33,72.83,18,62, ,3,N,5,2,62145,225891,0,0,1920,0,0,Charlton-King-Vandam Historic District, ,3.89,3.44,0,6.5,1,1005200084,0,37,983502,204434,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,188.2178759,1351.799415,163746,9,0,1194,1193,7,1575,21.50111198,22.68333435,1.182222366,21.73761995,0.419207089,152.1633396 +1194,MN,436,5,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4B,146 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,TRES THREE LLC,2000,6615,1653,4962,0,1653,0,0,0,0,2,1,4,11,12,33.33,60,33,60, ,1,N,3,2,270000,1296000,0,0,1910,1958,0, , ,3.31,4,0,4,1,1004360005,0,32,988489,204498,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,192.9197485,2168.039131,1026000,12,0,1195,1194,11,2475,17.84799957,24.19333267,6.345333099,19.39119148,2.273037672,213.3031063 +1195,MN,738,48,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,312 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,BERNARDO FELIX,5163,28078,0,28078,0,0,0,0,0,0,2,1,6,35,35,50,103.25,50,94, ,3,N,5,2,306450,2388600,0,0,1900,0,0, , ,5.44,4,0,4,1,1007380048,0,83,983454,209079,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,315.3159714,5398.702436,2082150,7,0,1196,1195,24,5400,16.15333366,20.35666656,4.203332901,16.5956947,1.16598014,398.2966728 +1196,MN,799,35,104,91,1003,2,3,10010,E001,13,15,5200,1,4,2A,101 WEST 23 STREET,C6-3X,C6-4X, , , , , , , , ,Y,D4,3,0, ,101 WEST 23 OWNER I L,19738,94835,35200,59635,0,12000,23200,0,0,0,2,1,6,80,84,123.42,125,123.42,125, ,0,Y,3,5,2466000,8554950,154607,154607,1958,0,0, , ,4.8,9,6,9,1,1007990035,0,91,986204,210109,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,663.661839,20425.2083,6088950,2,0,1197,1196,92,20700,29.37700081,34.22888947,4.851888657,29.52389815,0.802392096,2716.198629 +1197,MN,502,37,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,412 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,412 WB LLC,554,2200,2200,0,0,1650,0,550,0,0,2,1,3,0,3,25,22.17,25,22, ,3,N,5,0,225000,770400,0,0,1940,1988,2005,SoHo-Cast Iron Historic District Extensi, ,3.97,0,5,6.5,1,1005020037,0,49,983738,203374,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,98.88025625,610.8366482,545400,0,0,1198,1197,2,450,12.81888866,12.81888866,0,12.81888866,0,25.63777733 +1198,MN,29,29,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,58 STONE STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,"93 PEARL, LLC",2399,12000,12000,0,2400,8400,0,1200,0,0,2,1,5,0,3,38,73.58,38,73.58, ,0,Y,4,5,477000,1127700,0,0,1920,0,0,Stone Street Historic District, ,5,10,15,15,1,1000290029,0,9,981467,195895,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,224.3268792,2522.049628,650700,17,1,1199,1198,12,2700,11.55000019,14.11777782,2.567777634,11.83981498,0.731076281,142.0777798 +1199,MN,822,52,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,18 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,"G.A.M. REAL ESTATE, L",4600,45873,45873,0,41873,4000,0,0,0,0,2,1,11,0,12,50,92,50,92, ,3,N,5,2,810000,3676050,0,0,1907,0,0,Ladies' Mile Historic District, ,9.97,10,10,10,1,1008220052,0,54,986495,209100,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,286.1825183,4654.554234,2866050,7,0,1200,1199,20,4500,34.23199844,39.76222229,5.530223846,34.64018745,1.25927316,692.8037491 +1200,MN,529,50,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,17 BLEECKER STREET,M1-5B, , , , , , , , , ,N,C5,2,0, ,CDN REALTY LLC,2600,17080,5000,12080,0,2500,0,0,0,2500,2,1,7,11,13,40,65.83,40,60, ,3,Y,5,2,128250,2514600,0,0,1920,1987,0,Noho East Historic District, ,6.57,0,5,6.5,1,1005290050,0,5502,986152,203650,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,218.8902093,2812.50244,2386350,9,0,1201,1200,11,2475,41.23199844,41.23199844,0,41.23199844,0,453.5519829 +1201,MN,487,7,102,47,1003,2,1,10013,L008,1,15,6800,1,2,1A,500 BROOME STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,500 BROOME ASSOCIATES,1500,7500,7500,0,1500,1500,0,4500,0,0,2,1,5,3,8,20,75,20,68, ,0,N,3,2,168750,2278350,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004870007,0,47,983503,202837,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,197.7843316,1684.875686,2109600,0,1,1202,1201,8,1800,9.78555584,13.42399979,3.638443947,12.52516651,1.460889063,100.2013321 +1202,MN,374,20,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,724 EAST 5 STREET,R8B, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,34677,73224,73224,0,0,0,0,0,0,73224,2,1,5,0,1,134.5,192.33,217,80, ,2,Y,4,2,1777500,6557400,1777500,6557400,1910,1980,0, , ,2.11,4,0,4,1,1003740020,0,2601,990153,202327,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,847.1798415,35477.29239,4779900,1,1,1203,1202,159,35775,11.67399979,15.8577776,4.183777809,12.75967287,1.109440767,2028.787987 +1203,MN,803,36,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,797 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,NEGUM INC,1200,4200,2200,2000,1000,1200,0,0,0,0,2,1,4,2,4,20,60,20,60,E,3,N,5,2,267750,466650,0,0,1910,1964,0, , ,3.5,10,10,10,1,1008030036,0,95,986714,210947,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,164.0591468,1201.370221,198900,2,0,1204,1203,6,1350,37.16799927,37.16799927,0,37.16799927,0,223.0079956 +1204,MN,585,30,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,62 BARROW STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,1102,4355,0,4355,0,0,0,0,0,0,2,1,5,5,5,19,58,19,48, ,2,N,5,2,100685,239791,5296,5296,1910,1982,0,Greenwich Village Historic District, ,3.95,2.43,0,4.8,1,1005850030,0,73,982742,205916,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,165.1125346,1287.89763,139106,9,0,1205,1204,6,1350,18.5988884,18.5988884,0,18.5988884,0,111.5933304 +1205,MN,860,26,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,31 EAST 30 STREET,C5-2, , , , , , , , , ,N,C4,2,0, ,TAI MAY RLTY INC,2434,9788,810,8978,0,810,0,0,0,0,2,1,5,13,14,24.58,98.75,25,91, ,3,N,5,2,154350,619200,0,0,1925,1989,0, , ,4.02,10,10,10,1,1008600026,0,74,988675,210761,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,244.603466,2370.887092,464850,10,0,1206,1205,10,2250,37.50888824,37.50888824,0,37.50888824,0,375.0888824 +1206,MN,203,31,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,64 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,"CANAL HOLDINGS,",7504,27109,27109,0,13099,14010,0,0,0,0,2,1,3,0,19,75.17,99.92,75,100, ,3,N,3,2,1593000,7090650,0,0,1920,2004,0, , ,3.61,3.44,6,6.5,1,1002030031,0,41,985282,200336,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,358.1463389,7849.533914,5497650,14,0,1207,1206,35,7875,40.21222305,44.35333252,4.141109467,40.38758807,0.757045224,1413.565582 +1207,MN,898,38,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,234 EAST 18 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,GSL + P LLC,2000,7000,0,7000,0,0,0,0,0,0,2,1,4,7,7,25,80,25,54, ,3,N,5,1,120321,564798,0,0,1900,2006,0,Stuyvesant Square Historic District, ,3.5,3,0,3,1,1008980038,0,48,988696,207052,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,214.4016287,2003.372092,444477,5,0,1208,1207,9,2025,22.7840004,24.06888771,1.284887314,23.1003952,0.4763445,207.9035568 +1208,MN,717,69,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,450 WEST 20 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"WU, PHILIP",1533,4330,0,4330,0,0,0,0,0,0,2,1,4,4,4,16.67,92,17,50, ,3,N,5,5,222932,374004,0,0,1910,0,0,Chelsea Historic District, ,2.82,3,0,3,1,1007170069,0,89,982884,210819,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,224.3935694,1665.18927,151072,7,1,1209,1208,9,2025,9.621110916,9.621110916,0,9.621110916,0,86.58999825 +1209,MN,745,51,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,324 WEST 22 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,WILLIAM SHANOK,2049,4648,0,3392,0,0,0,0,0,0,2,1,3,2,2,20.75,98.75,20.75,44,E,3,N,5,1,84480,156410,1550,1550,1910,0,0,Chelsea Historic District Extension, ,2.27,3,0,3,1,1007450051,0,89,984181,210672,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,243.5692635,2233.308501,71930,7,0,1210,1209,10,2250,15.9989996,19.63555527,3.636555672,16.36265516,1.090966702,163.6265516 +1210,MN,886,67,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,170 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C3,2,0, ,170 LEXINGTON LLC,1590,3552,0,3552,0,0,0,0,0,0,2,1,4,4,4,19.75,80.5,20,52,E,3,N,5,5,183275,307476,0,0,1910,0,0, , ,2.23,6.02,6,6.5,1,1008860067,0,72,989359,210451,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,206.4683263,1580.716335,124201,10,0,1211,1210,6,1350,33.23199844,33.23199844,0,33.23199844,0,199.3919907 +1211,MN,620,37,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,237 WEST 10 STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,686 HOLDING LLC,2500,9382,0,9382,0,0,0,0,0,0,2,1,5,20,20,25,100,25,72, ,3,N,5,2,225000,711900,0,0,1920,0,0,Greenwich Village Historic District, ,3.75,3.44,2,6.5,1,1006200037,0,73,982696,206714,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,256.5949672,2476.654567,486900,9,0,1212,1211,11,2475,22.63400078,25.34000015,2.705999374,23.31113191,1.016523385,256.422451 +1212,MN,397,19,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,173 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,K1,5,0,P,"173 E. 2ND ST.,",2650,2600,2600,0,0,2600,0,0,0,0,2,1,1,0,1,24.9,105.92,25,106, ,3,N,5,2,180000,553050,0,0,1910,1984,0, , ,0.98,4,0,4,1,1003970019,0,3002,988460,202445,12c, ,102 012,10203,E-216,1003970019,1/6/1987,1, , ,17V1.1,0,269.9756393,2819.04939,373050,1,0,1213,1212,14,3150,19.55999947,22.1673317,2.60733223,19.92139626,0.778263198,278.8995476 +1213,MN,745,49,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,320 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,"THIRD OLD NEW YORK,",2469,8000,0,8000,0,0,0,0,0,0,2,1,4,15,15,25,98.75,25,64,E,3,N,5,1,56700,1035000,0,0,1900,1985,0,Chelsea Historic District Extension, ,3.24,3,0,3,1,1007450049,0,89,984224,210648,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,250.9681683,2600.609439,978300,7,0,1214,1213,11,2475,15.9989996,21.32333374,5.324334145,17.47632321,1.999062326,192.2395554 +1214,MN,383,1,103,28,4000,1,2,10009,L011,9,14,6300,1,3,4A,214 AVENUE C,M3-2, , , , , , , , , ,N,U2,7,0,P,CONSOLIDATED EDISON C,139594,0,0,0,0,0,0,0,0,0,7,3,0,0,0,206.5,676,0,0, ,0,N,3,5,6421000,6421000,0,0,0,0,0, , ,0,0,2,0,1,1003830001,0,28,991252,204353,12c, ,102 031,10202, ,0, ,1,1,1,17V1.1,0,1793.603831,150421.4581,0,12,1,1215,1214,669,150525,6.203999996,8.833333015,2.629333019,7.127790152,0.48308788,4768.491611 +1215,MN,228,9,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,373 CANAL STREET,M1-5A, , , , , , , , , ,N,S3,4,0, ,373 CANAL STREET COMP,693,5317,1425,3892,0,1425,0,0,0,0,2,1,4,3,4,19.17,79.25,19,76,E,3,Y,5,5,456772,666105,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,7.67,0,5,6.5,1,1002280009,0,47,983068,202106,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,190.3927462,1430.052091,209333,0,1,1216,1215,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +1216,MN,715,64,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,124 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K4,4,0, ,NANIS KOSTAS,3925,4380,4380,0,0,3960,0,420,0,0,2,1,2,0,1,44.67,100,44,90, ,0,Y,5,5,128700,1191600,0,0,2000,0,0, , ,1.12,7.52,6,10,1,1007150064,0,83,982523,210458,8b, ,103 041,10302,E-142,0, ,1, ,1,17V1.1,0,296.8355469,4064.252646,1062900,7,1,1217,1216,20,4500,9.883333206,11.21000004,1.326666832,11.002,0.435556421,220.04 +1217,MN,615,40,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,9 BANK STREET,R6, , , , , , , , , ,N,C3,2,0, ,"ASYLUM ADVENTURES,",2070,5244,0,5244,0,0,0,0,0,0,2,1,3,4,4,23,90.25,23,44, ,3,Y,5,5,289914,443098,0,0,1910,1988,0,Greenwich Village Historic District, ,2.53,2.43,0,4.8,1,1006150040,0,77,983631,207874,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,233.0597416,2123.661442,153184,8,0,1218,1217,10,2250,23.05999947,27.4711113,4.411111832,24.77644405,1.835362617,247.7644405 +1218,MN,97,7,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,109 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0,C,HOUSING PRESERVATION,1290,4772,4772,0,0,0,0,4772,0,0,2,1,4.5,0,2,16.67,80.08,17,81, ,3,Y,5,0,106650,359100,106650,359100,1900,0,0,South Street Seaport Historic District, ,3.7,6.02,6,6.5,1,1000970007,0,1501,983689,196901,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,199.9102266,1380.508058,252450,4,1,1219,1218,6,1350,5.993332863,5.993332863,0,5.993332863,0,35.95999718 +1219,MN,382,22,103,28,4001,1,2,10009,L011,9,14,6300,1,3,4A,181 AVENUE D,R7-2, , , , , , , , , ,N,M1,8,0,X,ST EMERIC R C CHURCH,60505,11500,11500,0,0,0,0,0,0,11500,2,4,2,0,3,206.5,293,55,124, ,0,N,3,0,2923200,8805150,2923200,8805150,1953,0,0, , ,0.19,3.44,0,6.5,1,1003820022,0,28,991278,204028,12c, ,102 031,10202, ,0, ,1,1,1,17V1.1,0,1010.441671,61642.7891,5881950,12,1,1220,1219,274,61650,8.712222099,12.29111099,3.578888893,10.03251507,0.736530168,2748.909129 +1220,MN,586,40,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,45 CARMINE STREET,R6, , , , , , , , , ,N,D1,3,0, ,NYC CARMINE HOLDINGS,3750,15575,0,15575,0,0,0,0,0,0,2,1,5,34,34,50,75,50,55, ,3,N,5,2,366300,2003850,0,0,1958,2014,0,Greenwich Village Historic District Exte, ,4.15,2.43,0,4.8,1,1005860040,0,67,983188,205276,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,252.0846738,3799.282939,1637550,9,0,1221,1220,16,3600,15.38333321,15.38333321,0,15.38333321,0,246.1333313 +1221,MN,467,17,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,216 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,216 EAST 12TH ST OWNE,2272,6560,0,6560,0,0,0,0,0,0,2,1,5,10,10,21.33,106.5,21,61, ,3,N,5,2,62495,249269,0,0,1900,0,0, , ,2.89,4,0,4,1,1004670017,0,40,987753,205735,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,260.4528571,2328.874211,186774,12,0,1222,1221,10,2250,28.52666664,33.60333252,5.076665878,30.43240013,2.015584029,304.3240013 +1222,MN,574,27,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,34 WEST 11 STREET,R6, , , , , , , , , ,N,S1,4,0, ,DMZ REAL ESTATE LLC,2085,4488,1188,3300,1188,0,0,0,0,0,2,1,3,1,2,22,94.75,22,42, ,3,N,5,1,112163,254968,0,0,1899,0,0,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1005740027,0,63,985208,206848,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.2191131,2104.38646,142805,8,0,1223,1222,10,2250,24.13299942,26.96999931,2.836999893,24.41669941,0.851099968,244.1669941 +1223,MN,821,14,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,39 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,ABNER PROPERTIES CO,9721,107152,107152,0,97652,9500,0,0,0,0,2,1,12,0,15,105.67,92,106,90,E,3,N,5,2,1530000,7437600,0,0,1911,1984,2014,Ladies' Mile Historic District, ,11.02,10,10,10,1,1008210014,0,54,986086,208937,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,404.6702569,10213.41433,5907600,7,0,1224,1223,46,10350,32.91555405,32.91555405,0,32.91555405,0,1514.115486 +1224,MN,556,75,103,42,1002,1,2,10003,L003,9,14,6200,1,3,4B,113 EAST 11 STREET,C6-2A, , , , , , , , , ,N,C5,2,0, ,SP&S ASSOCIATES LLC,3337,12300,0,12300,0,0,0,0,0,0,2,1,4,20,20,75,44.5,75,40, ,3,N,5,1,540000,2250450,0,0,1900,1978,0, , ,3.69,6.02,6,6.5,1,1005560075,0,42,987186,205895,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,237.5897034,3126.076231,1710450,12,0,1225,1224,14,3150,37.67444229,37.67444229,0,37.67444229,0,527.4421921 +1225,MN,438,20,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,424 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,424 EAST 11TH ST. LLC,2370,6934,0,6934,0,0,0,0,0,0,2,1,5,20,20,25,94.75,25,54, ,2,N,5,2,183150,862200,0,0,1920,1987,0, , ,2.93,4,0,4,1,1004380020,0,34,989001,204747,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,247.1938396,2473.548331,679050,12,0,1226,1225,12,2700,17.63888931,19.6044445,1.965555191,18.12120406,0.654745042,217.4544487 +1226,MN,623,32,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,64 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,64 B STREET LLC,2070,3303,0,3303,0,0,0,0,0,0,2,1,3.5,5,5,23.25,90,23,58,E,3,Y,5,5,229262,385116,0,0,1910,0,0,Greenwich Village Historic District, ,1.6,2.43,0,4.8,1,1006230032,0,77,983076,207632,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,228.4298922,2057.540938,155854,8,0,1227,1226,10,2250,22.60333252,27.59111214,4.987779617,23.75713272,1.904655616,237.5713272 +1227,MN,635,5,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,745 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,"LICHTENSTEIN, DOROTHY",4870,5850,0,5850,0,0,0,0,0,0,2,1,2,1,1,60,87.33,60,25,E,3,Y,5,0,68326,447867,0,0,1920,2008,0,Greenwich Village Historic District, ,1.2,4,2,4,1,1006350005,0,79,982027,207636,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,289.338182,5101.14685,379541,8,0,1228,1227,21,4725,13.34599972,13.34599972,0,13.34599972,0,280.2659941 +1228,MN,928,20,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,335 EAST 22 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,LA MARUJA REALTY CORP,1947,6095,0,6095,0,0,0,0,0,0,2,1,5,15,15,25,77.75,25,44, ,3,N,5,2,77400,756900,0,0,1910,0,0, , ,3.13,4,0,4,1,1009280020,0,64,989910,207665,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,209.9485212,1999.357277,679500,11,0,1229,1228,9,2025,14.22500038,16.18000031,1.954999924,14.4422226,0.614397201,129.9800034 +1229,MN,804,13,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,141 WEST 28 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,141 W 28TH ST OWNERS,4579,55392,55392,0,51092,4300,0,0,0,0,2,1,12,0,41,46.25,98.75,46,94, ,0,Y,5,5,963000,3746700,0,0,1913,0,0, , ,12.1,0,10,10,1,1008040013,0,95,986386,211439,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,297.2997803,4807.302086,2783700,2,0,1230,1229,22,4950,33.41199875,33.49399948,0.082000732,33.41572605,0.017080662,735.1459732 +1230,MN,849,16,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,902 BROADWAY,M1-5M, , , , , , , , , ,N,O4,5,0, ,902 ASSOCIATES,15925,342429,339074,3355,309550,29524,0,0,0,0,2,1,20,4,31,96.08,113.08,96,140, ,3,Y,3,2,8910000,21800250,0,0,1913,1985,0,Ladies' Mile Historic District, ,21.5,0,5,6.5,1,1008490016,0,52,987199,208617,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,649.5157017,16907.28327,12890300,7,0,1231,1230,74,16650,34.69888687,39.34000015,4.641113281,34.76160462,0.535860666,2572.358742 +1231,MN,144,32,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,130 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,K2,5,0,P,FLAGSHIP REALTY ASSOC,638,1268,1268,0,0,1268,0,0,0,0,2,1,2,0,1,25.33,25.17,25,25, ,3,Y,3,2,95400,529200,0,0,1920,0,0,Tribeca West Historic District, ,1.99,6.02,6,6.5,1,1001440032,0,33,981902,200416,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,109.6632132,751.6028758,433800,14,0,1232,1231,3,675,11.09777832,11.09777832,0,11.09777832,0,33.29333496 +1232,MN,583,52,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,81 LEROY STREET,R6, , , , , , , , , ,N,B1,1,0, ,81 LEROY STREET LLC,2167,4368,0,3276,0,0,0,0,0,0,2,1,2,2,2,21.67,100,21.67,52, ,3,N,5,1,52584,172522,0,0,1901,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1005830052,0,67,982602,205367,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,249.745524,2159.138904,119938,9,0,1233,1232,10,2250,15.38333321,19.7033329,4.319999695,16.63777771,1.435358394,166.3777771 +1233,MN,87,1,101,13,1009,2,1,10007,L010,1,15,7700,1,1, ,209 BROADWAY,C5-3, , , , , ,LM, , , ,N,Z8,9,2,X,ST PAULS CHURCH,64560,8875,8875,0,0,0,0,0,0,8875,2,1,1,0,0,166.75,400.25,0,0, ,0,Y,3,5,18045000,22671000,18045000,22671000,1900,0,0, ,ST. PAUL'S CHAPEL AND GRAVEYARD,0.14,10,15,15,1,1000870001,0,13,981594,198484,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,1121.544061,66061.1677,4626000,3,0,1234,1233,295,66375,25.74444389,36.16888809,10.4244442,33.01455741,2.504009214,9739.294437 +1234,MN,276,59,103,8,3000,2,1,10038,E009,5,14,7800,1,3,1A,53 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,P,CHURCH OF ST JOSEPH,7673,38000,38000,0,0,0,0,0,0,38000,2,1,5,0,1,75.25,107,72,104, ,2,Y,3,2,459000,1523700,0,0,1924,0,0, , ,4.95,3.44,0,6.5,1,1002760059,0,8,985212,198525,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,363.1046967,8010.029419,1064700,16,0,1235,1234,36,8100,13.17555523,15.93777752,2.76222229,13.25228363,0.453931318,477.0822105 +1235,MN,622,65,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,77 PERRY STREET,R6, , , , , , , , , ,N,C6,2,0,P,77 PERRY RLTY CORP,2400,12271,1753,10518,0,1753,0,0,0,0,2,1,6,24,26,25,96,25,80, ,3,N,5,2,283500,1943100,2360,2360,1900,1974,0,Greenwich Village Historic District, ,5.11,2.43,0,4.8,1,1006220065,0,73,983028,207269,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,246.6929651,2531.481923,1659600,8,0,1236,1235,12,2700,24.5988884,27.28333282,2.684444427,25.16268476,0.991059963,301.9522171 +1236,MN,401,19,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,518 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,GIOIA APARTMENTS LLC,2426,6750,1000,5750,0,1000,0,0,0,0,2,1,5,15,17,25,97,25,54, ,3,N,5,2,90000,1226250,0,0,1900,0,0, , ,2.78,3,0,3,1,1004010019,0,32,988946,203358,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,245.3117333,2407.696274,1136250,1,0,1237,1236,11,2475,14.20666695,14.26333332,0.056666374,14.21181844,0.016290437,156.3300028 +1237,MN,576,52,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,19 WEST 12 STREET,R6,C6-2, , , , , , , , ,Y,A4,1,0,P,PONITO RESIDENCE LLC,2663,6725,0,5425,0,0,0,0,0,0,2,1,4,1,1,25,106.5,25,52, ,3,N,5,1,103550,487238,0,0,1910,2009,0,Greenwich Village Historic District, ,2.53,2.43,0,4.8,1,1005760052,0,63,985536,207149,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,263.1518311,2615.563938,383688,8,0,1238,1237,11,2475,23.70299912,31.03000069,7.327001572,25.71120158,2.729897409,282.8232174 +1238,MN,450,55,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,39 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,"YOOMEE, INC.",1211,3892,973,2919,0,973,0,0,0,0,2,1,4,5,6,28.5,42.5,29,41,E,2,N,5,5,50460,138140,0,0,1900,0,0, , ,3.21,4,0,4,1,1004500055,0,38,987806,204707,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,135.097279,1113.931311,87680,12,0,1239,1238,4,900,25.4810009,25.4810009,0,25.4810009,0,101.9240036 +1239,MN,828,41,105,58,1003,2,2,10001,E001,13,15,5700,1,5,1B,228 5 AVENUE,M1-6,C5-2, , , , , , , , ,Y,O4,5,0, ,230 5 AVE ASSOC,19575,404245,404245,0,383995,20250,0,0,0,0,2,1,20,0,228,62.33,254.08,62,240, ,2,Y,3,2,15210000,40833000,0,0,1914,1989,0,Madison Square North Historic District, ,20.65,0,10,10,1,1008280041,0,58,987453,210384,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,694.5272956,21175.59934,25623000,11,0,1240,1239,94,21150,40.82555389,43.71777725,2.892223358,41.17488265,0.482282795,3870.438969 +1240,MN,886,46,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,438 3 AVENUE,C1-9, , , , , , , , , ,N,S5,4,0, ,R&B PROPERTY LLC,1180,2988,718,2270,0,718,0,0,0,0,2,1,4,5,6,19.67,60,18,37, ,3,N,5,5,127269,391859,0,0,1910,1987,0, , ,2.53,10,2,10,1,1008860046,0,72,989783,210173,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,170.3367104,1370.477557,264590,10,0,1241,1240,7,1575,28.17889023,33.39777756,5.218887329,28.92444556,1.82623014,202.4711189 +1241,MN,821,11,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,53 WEST 19 STREET,C6-4A, , , , , , , , , ,N,C4,2,0,P,"PANASIA ESTATE, INC.",2080,6900,3174,3726,1242,1932,0,0,0,0,2,1,5,12,14,22.5,92,23,84,E,3,N,5,2,113850,657900,0,0,1925,0,0,Ladies' Mile Historic District, ,3.32,10,10,10,1,1008210011,0,54,985994,208987,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,240.2876922,2272.947866,544050,7,0,1242,1241,11,2475,32.91555405,32.91555405,0,32.91555405,0,362.0710945 +1242,MN,575,13,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,82 WEST 12 STREET,C1-7,R6, , , , , , , , ,Y,D7,4,0, ,82 WEST 12TH PROPERTY,4440,20634,1000,19634,0,1000,0,0,0,0,2,1,6,24,25,43,103.25,43,88, ,3,Y,5,2,312750,2406150,0,0,1900,1987,0,Greenwich Village Historic District, ,4.65,6.02,2,6.5,1,1005750013,0,63,984938,207296,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,298.3775417,4604.030786,2093400,8,0,1243,1242,21,4725,24.42399979,25.51222229,1.088222504,24.4860422,0.233959316,514.2068863 +1243,MN,431,1,103,32,4000,1,2,10009,E028,9,14,6600,1,3,3B,60 1 AVENUE,R7-2,R8B, , ,C2-5, , , , , ,Y,D4,3,0,P,VILLAGE VIEW HOUSING,40955,194800,0,194800,0,0,0,0,0,0,2,1,21,203,203,192.33,212.92,160,94, ,1,N,3,2,1918350,16634700,1918350,16634700,1964,0,0, , ,4.76,3.44,0,6.5,1,1004310001,0,32,987912,203297,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,814.478566,41403.96602,14716400,1,0,1244,1243,185,41625,26.81800079,31.25,4.431999207,28.75336881,1.189914905,5319.37323 +1244,MN,744,19,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,335 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,IVY DAY INC,2300,5500,0,5500,0,0,0,0,0,0,2,1,4,12,12,25,92,25,36,E,3,N,5,1,97650,698400,0,0,1900,1966,0,Chelsea Historic District, ,2.39,3,0,3,1,1007440019,0,89,983879,210439,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,234.1326074,2239.972938,600750,7,0,1245,1244,10,2250,15.84222221,19.61333466,3.771112442,16.72933331,1.417964562,167.2933331 +1245,MN,913,35,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,256 EAST 33 STREET,C1-8A, , , , , , , , , ,N,S4,4,0,P,SUCHANEK JAN,1233,3181,918,2263,0,0,0,0,0,918,2,1,4,4,5,16.67,74,17,54,E,3,N,5,5,83148,249337,0,0,1900,0,0, , ,2.58,7.52,2,7.5,1,1009130035,0,70,990702,210359,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,184.2476405,1284.255467,166189,10,0,1246,1245,6,1350,19.78333282,20.63444519,0.851112366,19.92518489,0.317190851,119.5511093 +1246,MN,585,18,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,10 GROVE STREET,R6, , , , , , , , , ,N,A5,1,0, ,A LA PRELLE,1268,1480,0,1480,0,0,0,0,0,0,2,1,2.5,1,1,18.33,69.17,18.33,32, ,2,N,5,2,17952,114462,0,0,1901,0,0,Greenwich Village Historic District, ,1.17,2.43,0,4.8,1,1005850018,0,73,982629,206040,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,183.8148837,1364.499316,96510,9,0,1247,1246,6,1350,19.35111046,22.45000076,3.098890305,20.35444419,1.419855942,122.1266651 +1247,MN,300,8,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,50 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,50 ELDRIDGE LLC,4108,32000,32000,0,0,4000,0,28000,0,0,2,1,8,0,8,47,87.25,47,87,E,3,Y,5,2,270000,1132650,0,0,1912,0,0, , ,7.79,3.44,6,6.5,1,1003000008,0,16,986246,200142,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,274.0810419,4207.946878,862650,13,0,1248,1247,18,4050,39.09000015,41.2444458,2.154445648,39.20969158,0.493500387,705.7744484 +1248,MN,882,73,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,126 EAST 27 STREET,C4-5A, , , , , , , , , ,N,C5,2,0, ,CATHEXIS REALTY LLC,2469,7345,0,7345,0,0,0,0,0,0,2,1,5,10,10,25,98.75,25,56, ,3,N,5,2,272639,738520,0,0,1967,1967,0, , ,2.97,4,4,4,1,1008820073,0,68,988814,209622,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,253.4345027,2565.851011,465881,11,0,1249,1248,12,2700,33.85400009,35,1.145999908,34.02820396,0.369595319,408.3384476 +1249,MN,483,5,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,498 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,"ONLY PROPERTIES, LLC",4580,18916,7080,11836,3080,4000,0,0,0,0,2,1,5,5,7,45.83,99.92,46,92, ,3,N,5,2,765000,5490000,0,0,1900,2004,2016,SoHo-Cast Iron Historic District, ,4.13,0,5,6.5,1,1004830005,0,45,984452,202334,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,301.4540526,4794.918842,4725000,0,0,1250,1249,22,4950,24.68222237,27.43222237,2.75,24.80722237,0.572821962,545.7588921 +1250,MN,583,49,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,12 ST LUKES PLACE,R6, , , , , , , , , ,N,A4,1,0, ,PAUL M. RUSSO,2167,5796,0,3990,0,0,0,0,0,0,2,1,2,1,1,21.67,100,21.67,52,E,3,N,5,1,75427,280631,0,0,1901,2006,0,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1005830049,0,67,982667,205359,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,250.4384257,2248.889343,205204,9,0,1251,1250,11,2475,15.38333321,17.77000046,2.386667252,15.60030296,0.686118594,171.6033325 +1251,MN,443,44,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,66 EAST 1 STREET,R8B, , , , , , , , , ,N,G1,10,0, ,"J&A REALTY ASSOC.,INC",3245,3250,3250,0,0,0,3250,0,0,0,2,1,1,0,1,25,131.92,25,128, ,3,Y,5,0,167400,304200,0,0,1900,0,0, , ,1,4,0,4,1,1004430044,0,3602,987331,202959,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,315.1343788,3271.085995,136800,1,0,1252,1251,14,3150,31.19000053,31.19000053,0,31.19000053,0,436.6600075 +1252,MN,934,20,106,66,9000,2,2,10016,E016,13,14,5800,1,6,2A,339 EAST 28 STREET,R8, , , , , , , , , ,N,D8,3,0,P,KALIMIAN FIRST AVENUE,15280,110139,0,110139,0,0,0,0,0,0,2,1,16,120,123,100,197.5,33,90, ,0,Y,4,2,967500,12560400,0,0,1900,0,0, , ,7.21,6.02,0,6.5,1,1009340020,0,66,990715,209081,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,605.1211955,15797.52054,11592900,11,0,1253,1252,71,15975,20.28299904,30.06999969,9.787000656,23.10577882,3.165127651,1640.510296 +1253,MN,696,53,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,532 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,ANTHONY GAETANO,2468,7404,7404,0,0,7404,0,0,0,0,2,1,3,0,3,25,98.75,25,93, ,3,N,5,0,117900,491400,0,0,1900,1985,0, , ,3,0,5,6.5,1,1006960053,0,99,982910,212303,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,250.6439889,2500.659928,373500,2,1,1254,1253,11,2475,8.58433342,8.63299942,0.048666,8.628575238,0.013990491,94.91432762 +1254,MN,10,15,101,9,1009,2,1,10004,L015,1,15,7700,1,1, ,27 WHITEHALL STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,MSA TWINS LTD.,2077,14829,14829,0,10829,4000,0,0,0,0,2,1,7,0,6,32.81,58.09,33,58, ,3,Y,3,2,406800,1720350,0,0,1921,1982,0, , ,7.14,10,15,15,1,1000100015,0,9,980679,195577,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,199.8676926,2268.000357,1313550,17,1,1255,1254,8,1800,8.81499958,12.29333305,3.478333473,10.10048592,1.390081564,80.80388737 +1255,MN,153,18,101,31,1017,2,1,10007,E006,5,15,7700,1,1, ,49 CHAMBERS STREET,C6-4, , , , , , , , , ,N,O3,5,0,P,49-51 CHAMBERS LLC,18919,231379,231379,0,231379,0,0,0,0,0,2,1,15,0,1,125,151.35,125,151, ,0,Y,5,5,1782000,29530350,0,0,1910,1960,2001, , ,12.23,10,10,10,1,1001530018,0,31,982826,199406,12b, ,101S020,10105, ,1001530001,9/20/2013,1, , ,17V1.1,0,576.3245829,20102.92477,27748400,14,0,1256,1255,90,20250,28.14222145,33.66333389,5.521112442,29.54660536,0.505264036,2659.194483 +1256,MN,927,36,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,334 EAST 22 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,ATTIE DOROTHY,1950,5600,2100,3500,2100,0,0,0,0,0,2,1,4,1,2,20,97.5,20,61.5, ,3,N,5,2,159788,175574,7520,7520,1910,0,0, , ,2.87,4,0,4,1,1009270036,0,64,989820,207549,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,242.5940327,2121.809323,15786,11,0,1257,1256,9,2025,12.9244442,16.83111191,3.906667709,14.29078992,1.518859183,128.6171093 +1257,MN,325,1,103,10.02,3005,1,2,10002,L018,7,14,7600,1,3,3A,140 BARUCH PLACE,R7-2, , , , , , , , , ,N,C4,2,0,O,NYC HOUSING AUTHORITY,23058,77910,0,77910,0,0,0,0,0,0,2,1,6,36,36,230.58,99.75,234,88, ,1,Y,3,2,832500,2601900,832500,2601900,1920,0,0, , ,3.38,3.44,0,6.5,1,1003250001,0,1002,990787,201013,12c, ,102 008,10201, ,0, ,1,1,1,17V1.1,0,668.5175373,23754.88715,1769400,1,1,1258,1257,105,23625,7.848888874,11.19000053,3.34111166,7.982342856,0.558129355,838.1459999 +1258,MN,525,26,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,110 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"KLUFT, JEROME M.",2500,8985,720,8265,0,720,0,0,0,0,2,1,5,18,20,25,100,25,65, ,3,N,5,2,102600,1474650,0,0,1900,1986,0,South Village Historic District, ,3.59,3.44,0,6.5,1,1005250026,0,65,984083,204374,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,258.873692,2788.278222,1372050,9,0,1259,1258,12,2700,23.62666702,23.62666702,0,23.62666702,0,283.5200043 +1259,MN,208,20,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1A,243 CANAL STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,CANAL STREET VENTURES,3857,21700,21700,0,0,3616,0,0,18084,0,2,1,6,0,5,37.67,115.33,38,108, ,3,Y,5,2,394650,1189350,0,0,1915,1989,0, , ,5.63,0,5,6.5,1,1002080020,0,45,984250,201020,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,305.066643,4143.324507,794700,0,0,1260,1259,20,4500,14.81400013,14.81400013,0,14.81400013,0,296.2800026 +1260,MN,293,13,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,76 CANAL STREET,C6-1G, , , , , , , , , ,N,S4,4,0, ,SUNLAND REALTY INC,998,4570,980,3590,0,980,0,0,0,0,2,1,5,4,5,20.17,49.5,20,50, ,3,N,5,5,43751,242907,0,0,1900,0,0, , ,4.58,3.44,6,6.5,1,1002930013,0,16,986170,199798,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,137.2842992,924.0955447,199156,16,0,1261,1260,4,900,41.23199844,41.23199844,0,41.23199844,0,164.9279938 +1261,MN,848,43,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,242 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0, ,"250 PARK,",9350,111569,111569,0,103069,8500,0,0,0,0,2,1,11,0,13,100,100,100,98, ,3,Y,3,2,5985000,17968950,0,0,1911,1985,0, , ,11.93,10,10,10,1,1008480043,0,52,987527,208241,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,443.3570541,9839.688601,11984000,5,0,1262,1261,42,9450,35.19100189,36.54888916,1.357887268,35.34857832,0.393904274,1484.640289 +1262,MN,162,13,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,24 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,LUEN HOP REALTY INC,2346,11148,1800,9348,0,1800,0,0,0,0,2,1,6,20,22,24,99.33,24,85, ,3,Y,5,2,159750,572850,0,0,1915,0,0, , ,4.75,3.44,6,6.5,1,1001620013,0,29,984655,199590,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,247.8827267,2397.815908,413100,14,0,1263,1262,11,2475,30.90500069,34.0933342,3.188333511,31.19484919,0.91658144,343.1433411 +1263,MN,614,36,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,235 WEST 11 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"WOLFF INDIVIDUALLY, C",2025,3760,0,3760,0,0,0,0,0,0,2,1,4,4,4,21.08,97,21,54, ,3,Y,5,5,229823,385754,0,0,1916,1988,0,Greenwich Village Historic District, ,1.86,2.43,0,4.8,1,1006140036,0,77,983486,207607,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,240.7620274,2100.04758,155931,8,0,1264,1263,8,1800,26.80333328,27.37999916,0.576665878,26.9437499,0.243324328,215.5499992 +1264,MN,886,68,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,172 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,COLOR 172 REALTY CORP,1590,3795,800,2995,0,800,0,0,0,0,2,1,4,4,5,19.75,80.5,20,52,E,3,N,5,5,143087,332034,0,0,1910,0,0, , ,2.39,6.02,6,6.5,1,1008860068,0,72,989369,210468,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,208.8463447,1681.151569,188947,10,0,1265,1264,8,1800,33.23199844,33.23199844,0,33.23199844,0,265.8559875 +1265,MN,435,45,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,111 EAST 7 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,"111-115 EAST 7TH NY,",6106,32698,4671,28027,0,4671,0,0,0,0,2,1,7,45,47,62.75,111.75,63,96, ,3,Y,5,2,558000,4594050,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,5.36,4,0,4,1,1004350045,0,32,988559,204025,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,336.4626714,6445.619683,4036050,12,0,1266,1265,26,5850,18.46888924,18.46888924,0,18.46888924,0,480.1911201 +1266,MN,405,15,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,514 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,514 EAST 12TH STREET,2581,9730,0,9730,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,86, ,3,N,5,2,135000,1324350,0,0,1920,0,0, , ,3.77,4,0,4,1,1004050015,0,34,989626,204700,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.7578819,2737.2322,1189350,12,0,1267,1266,13,2925,13.81444454,15.05555534,1.241110802,13.9099146,0.330717995,180.8288898 +1267,MN,469,40,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,245 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,THIRTEEN LIMITED PART,3872,17010,1500,15510,1500,0,0,0,0,0,2,1,6,24,31,37.5,103.25,37,88, ,3,N,5,1,406800,2446650,0,0,1920,1987,0, , ,4.39,4,2,4,1,1004690040,0,40,988164,205998,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,283.1329462,3837.703514,2039850,12,0,1268,1267,15,3375,29.06444359,29.61111069,0.546667099,29.10088806,0.136362733,436.5133209 +1268,MN,592,66,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,375 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,D4,3,0,P,WAVERTREE CORPORATION,6825,93291,3412,89879,0,3412,0,0,0,0,2,1,16,76,81,67.17,102.5,67,97, ,2,Y,3,2,778500,11290500,124255,124255,1929,1988,0,Greenwich Village Historic District, ,13.67,3.44,0,6.5,1,1005920066,0,71,984115,206302,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,350.0555014,7297.164637,10512000,9,0,1269,1268,31,6975,17.50333405,17.50333405,0,17.50333405,0,542.6033554 +1269,MN,591,20,102,73,4005,2,3,10014,E024,6,15,6400,1,2,1B,72 GROVE STREET,C4-5, , , , , , , , , ,N,S2,4,0,P,STEVECO LLC,2053,4826,1255,3571,0,1255,0,0,0,0,2,3,3,2,3,21.83,93.67,21.83,22,E,3,Y,5,5,60395,150957,0,0,1910,0,0,Greenwich Village Historic District, ,2.35,3.44,3.4,6.5,1,1005910020,0,73,983500,206369,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,232.3120642,2078.170782,90562,9,0,1270,1269,9,2025,22.84600067,22.84600067,0,22.84600067,0,205.614006 +1270,MN,860,31,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,41 EAST 30 STREET,C5-2, , , , , , , , , ,N,C7,4,0,P,IGOR REALTY INC,1975,5113,768,4345,0,768,0,0,0,0,2,1,4,8,9,20,98.75,20,57,E,3,N,5,2,143883,647649,0,0,1925,1970,0, , ,2.59,10,10,10,1,1008600031,0,74,988769,210709,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,236.31874,1923.59116,503766,10,0,1271,1270,8,1800,37.50888824,37.50888824,0,37.50888824,0,300.071106 +1271,MN,440,51,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,417 EAST 12 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,ADEIA ASSOCIATES,2512,11034,0,11034,0,0,0,0,0,0,2,1,7,15,15,24.33,103.25,24,88, ,3,N,5,1,283950,1956150,0,0,1920,1985,0, , ,4.39,4,0,4,1,1004400051,0,34,989098,205175,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,259.4560169,2615.627221,1672200,12,0,1272,1271,12,2700,16.59444427,20.50222206,3.907777786,19.71412929,1.407518259,236.5695515 +1272,MN,531,37,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,358 BOWERY,M1-5B, , , , , , , , , ,N,K1,5,0, ,4TH ST REALTY HOLDING,8705,5072,5072,0,0,5072,0,0,0,0,2,2,1,0,1,81.5,101.17,48,98, ,0,Y,3,5,736650,1753200,0,0,1915,1994,0, , ,0.58,0,5,6.5,1,1005310037,0,5502,986473,204168,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,458.8333218,9573.686631,1016550,9,0,1273,1272,43,9675,41.26444626,42.81999969,1.555553436,41.55639356,0.432786019,1786.924923 +1273,MN,551,123,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,15 MAC DOUGAL ALLEY,R6, , , , , , , , , ,N,A4,1,0, ,THOMAS GLUCKMAN,865,1300,0,1300,0,0,0,0,0,0,2,1,2,1,1,24.58,35.17,24.58,25, ,2,N,5,0,52578,123256,0,0,1899,0,0,Greenwich Village Historic District, ,1.5,2.43,0,4.8,1,1005510123,0,63,984934,206110,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,125.8003302,943.5440981,70678,8,0,1274,1273,4,900,22.1970005,22.1970005,0,22.1970005,0,88.78800201 +1274,MN,643,57,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,838 GREENWICH STREET,R6,M1-5, , , , , , , , ,Y,D0,3,0, ,838 GREENWICH ST CORP,4085,18969,0,18969,0,0,0,0,0,0,2,1,4,29,29,44,95.92,44,85, ,3,Y,5,2,607500,2109150,18880,18880,1900,1981,0,Gansevoort Market Historic District, ,4.64,2.43,0,4.8,1,1006430057,0,79,982390,208532,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,283.7791284,4088.387102,1501650,8,1,1275,1274,20,4500,11.21500015,11.21500015,0,11.21500015,0,224.3000031 +1275,MN,501,5,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,421 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0, ,419-421 WEST BROADWAY,2500,13625,1362,12263,0,1362,0,0,0,0,2,1,6,5,6,25,100,25,96, ,3,N,5,2,262914,756866,4589,4589,1900,0,0,SoHo-Cast Iron Historic District, ,5.45,0,5,6.5,1,1005010005,0,49,983918,203405,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,255.0240402,2527.089198,493952,0,0,1276,1275,10,2250,15.00755596,15.00755596,0,15.00755596,0,150.0755596 +1276,MN,274,7501,103,8,6012,2,1,10002,E009,5,14,7800,1,3, ,48 MARKET STREET,R7-2, , , , , , , , , ,N,RM,4,0, , ,6573,21923,5091,16832,5091,0,0,0,0,0,2,1,9,26,28,75.12,87.67,0,0, ,0,Y,5,5,292503,3479853,80232,638811,1990,0,0, , ,3.34,3.44,0,6.5,1,1002747501,977,8,985901,198655,12d, ,101N054,10107, ,1002740041,11/26/1997,1, , ,17V1.1,7,331.3614849,6796.141819,3187350,16,0,1277,1276,30,6750,24.63366699,24.63366699,0,24.63366699,0,739.0100098 +1277,MN,164,17,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,62 MULBERRY STREET,C6-1, , , , , , , , , ,N,G1,10,0, ,62-64 MULBERRY STREET,4825,34800,34800,0,0,0,34800,0,0,0,2,1,8,0,1,25,95.17,0,0, ,0,Y,5,5,495000,3261600,0,0,1999,0,0, , ,7.21,3.44,6,6.5,1,1001640017,0,29,984471,199981,12d,Y,101S032,10105, ,1001640017,11/30/1995,1, , ,17V1.1,0,305.00055,5213.139851,2766600,14,0,1278,1277,24,5400,24.29500008,27.1744442,2.879444122,24.73141217,0.847545704,593.5538921 +1278,MN,417,67,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,175 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,SAS MANAGEMENT INC,2309,9730,1946,7784,0,1946,0,0,0,0,2,1,5,16,18,27.33,87.33,27,68, ,2,Y,5,2,225000,2182500,0,0,1900,1997,0, , ,4.21,4,4,4,1,1004170067,0,3001,987400,202231,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,239.0575485,2533.173706,1957500,1,0,1279,1278,12,2700,33.19499969,34.33944321,1.144443512,33.33712928,0.33938513,400.0455513 +1279,MN,395,3,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,199 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LOWER EAST SIDE II AS,7347,14696,2000,12696,0,2000,0,0,0,0,2,2,6,23,27,79,93,79,77, ,3,N,5,2,661500,3130200,661500,3130200,1910,1986,0, , ,2,4,0,4,1,1003950003,0,28,990194,204614,12c, ,102 030,10203, ,0, ,1, 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CITRON REV,1646,2621,0,1966,0,0,0,0,0,0,2,1,3,1,1,16.67,98.75,16.67,50, ,3,N,5,1,55235,124259,0,0,1900,0,0, , ,1.59,3,0,3,1,1009120045,0,70,990410,210210,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,236.2308151,1706.975989,69024,10,0,1307,1306,8,1800,26.45000076,26.45000076,0,26.45000076,0,211.6000061 +1307,MN,77,20,101,15.02,1004,2,1,10038,E006,1,15,7700,1,1,1B,138 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,W6,8,0,P,"CRIKOS, LLC",5573,35674,35674,0,31674,4000,0,0,0,0,2,1,7,0,8,54.75,100.58,54,100, ,2,Y,3,2,648000,3851100,0,0,1942,2012,0, , ,6.4,10,10,10,1,1000770020,0,1502,982490,197705,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,319.1581032,5838.29397,3203100,4,0,1308,1307,26,5850,25.46999931,29.80999947,4.340000153,26.14581145,1.418432916,679.7910976 +1308,MN,910,55,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,212 EAST 30 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,WAN LUI LIVIA,1852,3759,0,3759,0,0,0,0,0,0,2,1,4,5,5,18.75,98.75,19,63,E,3,N,5,5,254325,426666,0,0,1910,1985,0, , ,2.03,3,0,3,1,1009100055,0,70,989962,209868,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,237.9491197,1901.138069,172341,10,0,1309,1308,9,2025,34.37666702,39.19444275,4.817775726,35.62851885,1.891507005,320.6566696 +1309,MN,896,15,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,231 EAST 14 STREET,C1-6A, , , , , , , , , ,N,D5,3,0,P,JAVA 14 LLC,2685,13788,2000,11788,0,2000,0,0,0,0,2,1,6,10,11,26,103.25,26,96, ,3,N,5,2,135000,1875600,0,0,1915,1981,0, , ,5.14,4,2,4,1,1008960015,0,48,988209,206323,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,263.9870969,2690.675601,1740600,12,0,1310,1309,13,2925,29.86800003,32.01000214,2.142002106,30.25393178,0.722722694,393.3011131 +1310,MN,480,40,102,41,6003,2,1,10013,E055,5,15,6800,1,2,1A,378 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,M1,8,0, ,CHUR MOST HOLY CRUCIF,2635,6107,6107,0,0,0,0,0,0,6107,2,1,3,0,1,25.75,106.5,26,107, ,3,Y,5,2,281250,558450,0,0,1920,1986,0, , ,2.32,6.02,6,6.5,1,1004800040,0,41,985274,201793,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,262.6354315,2667.555256,277200,0,0,1311,1310,13,2925,33.11000061,33.11000061,0,33.11000061,0,430.4300079 +1311,MN,626,26,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,634 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,C4,2,0, ,634 HUDSON REALTY LLC,2982,9230,600,8630,0,600,0,0,0,0,2,2,4,20,21,25.33,118.92,25,41, ,3,Y,5,2,472500,1715850,0,0,1900,1987,0,Greenwich Village Historic District, ,3.1,3.44,2,6.5,1,1006260026,0,77,982819,208331,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,292.7552764,2992.22024,1243350,8,0,1312,1311,13,2925,17.68444443,17.68444443,0,17.68444443,0,229.8977776 +1312,MN,614,150,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,249 WAVERLY PLACE,R6, , , , , , , , , ,N,B1,1,0, ,KATHRYN V. ANDERSON,470,1763,0,1763,0,0,0,0,0,0,2,1,5,2,2,23.5,20,20,23, ,3,N,5,2,46948,152981,0,0,1910,2002,0,Greenwich Village Historic District, ,3.75,2.43,0,4.8,1,1006140150,0,77,983702,207744,12a, ,103 016,10209, ,1006140050,11/18/1994,1, , ,17V1.1,0,87.57243494,479.0903303,106033,8,0,1313,1312,2,450,25.32666588,25.32666588,0,25.32666588,0,50.65333176 +1313,MN,235,20,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,144 BAXTER STREET,M1-5B, , , , , , , , , ,N,F5,6,0, ,SUM HING INC,1931,1875,1875,0,0,0,0,0,1875,0,2,1,1,0,1,25.08,77,25,67, ,3,N,5,0,92250,172350,0,0,1969,1988,0, , ,0.97,0,5,6.5,1,1002350020,0,41,984634,201243,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,211.0804146,2029.589139,80100,0,0,1314,1313,10,2250,18.99699974,20.47800064,1.4810009,19.27094421,0.550144418,192.7094421 +1314,MN,705,39,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,427 10 AVENUE,C6-4, , , , , ,HY, , , ,N,K5,5,0, ,50 HYMC OWNER LLC,15176,7200,7200,0,0,4800,0,0,0,2400,2,1,2,0,1,172.75,105.5,46,52, ,0,Y,3,5,819000,1825650,0,0,2001,1986,0, , ,0.47,10,10,10,1,1007050039,0,99,984342,214131,8d, ,105S016,10302,E-137,0, ,1, , ,17V1.1,0,576.7891383,17215.54961,1006650,6,0,1315,1314,78,17550,30.39266586,38.20888901,7.816223145,35.29996266,1.477144802,2753.397087 +1315,MN,20,1,101,13,2009,2,1,10006,E010,1,15,7700,1,1, ,29 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,TRINITY MORRIS CORP,14490,316150,316150,0,312250,3900,0,0,0,0,2,1,31,0,54,72.08,184.17,70,182, ,2,Y,3,1,3483000,17220600,0,0,1925,0,0, , ,21.82,10,15,15,1,1000200001,0,13,980480,196545,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,540.5992423,15236.5291,13737600,15,0,1316,1315,67,15075,22.52599907,22.52599907,0,22.52599907,0,1509.241938 +1316,MN,281,56,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,17 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0,P,"BELTTECH AT DIVISION,",1756,4875,4875,0,0,3250,0,0,0,1625,2,1,3,0,2,25,70.42,25,66, ,3,Y,5,2,192150,435600,0,0,1910,1988,0, , ,2.78,3.44,6,6.5,1,1002810056,0,8,985188,199377,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,195.3989387,1836.958961,243450,16,0,1317,1316,8,1800,35.10200119,39.06999969,3.967998505,36.08288956,1.699093819,288.6631165 +1317,MN,463,39,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,37 EAST 7 STREET,R8B, , , , , , , , , ,N,S9,4,0,P,FIRST ESTATE,1875,7475,3625,3850,3625,0,0,0,0,0,2,1,3.5,2,4,25,75,25,75,E,3,N,5,5,111107,241339,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,3.99,4,0,4,1,1004630039,0,38,987367,204674,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,205.5339736,1944.174209,130232,12,0,1318,1317,8,1800,34.15777969,34.15777969,0,34.15777969,0,273.2622375 +1318,MN,344,65,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,93 PITT STREET,R7A, , , , , , , , , ,N,D9,3,0,X,PITT STREET HOUSING D,2521,11000,1000,10000,0,0,0,0,0,1000,2,1,6,36,37,25.17,100,25,80, ,3,N,5,0,270000,987750,270000,987750,1920,1994,0, , ,4.36,4,0,4,1,1003440065,0,2201,989085,201181,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,254.6888111,2611.21639,717750,1,0,1319,1318,12,2700,17.05666733,21.1277771,4.071109772,17.39592648,1.125195299,208.7511177 +1319,MN,404,29,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,172 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,CFH ASSOCIATES LLC,1750,7050,800,6250,0,800,0,0,0,0,2,1,6,7,8,25,70,25,47, ,0,N,5,5,187345,806890,0,0,2002,0,0, , ,4.03,4,0,4,1,1004040029,0,34,989852,204284,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,193.5659374,1775.429422,619545,12,1,1320,1319,6,1350,12.53199959,12.53199959,0,12.53199959,0,75.19199753 +1320,MN,797,23,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,131 WEST 21 STREET,C6-3A, , , , , , , , , ,N,S3,4,0, ,B BRAGES ASSOCIATES,2235,6815,1000,5815,0,1000,0,0,0,0,2,1,4,3,4,22.5,98.75,23,93,E,2,N,5,2,35671,469452,0,0,1925,2008,0, , ,3.05,7.52,6,7.5,1,1007970023,0,87,985671,209731,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,252.4651081,2308.665004,433781,7,0,1321,1320,11,2475,28.16444397,28.16444397,0,28.16444397,0,309.8088837 +1321,MN,864,25,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,185 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,"185 MADISON AVENUE,",4941,79961,79961,0,74964,4997,0,0,0,0,2,1,16,0,32,49.42,100,49,100, ,2,N,3,1,4050000,10184400,0,0,1911,1986,2013, , ,16.18,10,10,10,1,1008640025,0,74,989081,211730,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,318.7973139,5701.763654,6134400,10,0,1322,1321,26,5850,55.57666779,57.5588913,1.982223511,55.73218052,0.473959409,1449.036694 +1322,MN,529,49,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,15 BLEECKER STREET,M1-5B, , , , , , , , , ,N,S5,4,0, ,"15 BLEECKER,",1472,5883,2600,3283,0,1400,0,1200,0,0,2,1,3,5,6,22.5,64.17,23,54, ,3,Y,5,5,72493,207084,0,0,1900,2006,0,Noho East Historic District, ,4,0,5,6.5,1,1005290049,0,5502,986181,203639,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,178.4032513,1482.773896,134591,9,0,1323,1322,8,1800,41.23199844,41.23199844,0,41.23199844,0,329.8559875 +1323,MN,830,37,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,250 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O5,5,0, ,COSMIC REALTY PARTNER,10445,35511,35511,0,25511,10000,0,0,0,0,2,1,6,0,24,55.08,150,55.08,100,E,0,Y,3,5,1701000,4045500,0,0,1908,0,0,Madison Square North Historic District, ,3.4,10,10,10,1,1008300037,0,76,987688,210693,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,512.8631839,11047.19318,2344500,11,0,1324,1323,49,11025,42.64199829,44.0340004,1.392002106,42.76374007,0.317125406,2095.423264 +1324,MN,141,20,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,323A GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,SUYEON KIM REAL ESTAT,1500,7765,1200,6565,0,1200,0,0,0,0,2,1,5,4,5,25.33,59.33,25,60, ,2,Y,3,5,555153,784789,0,0,1915,1986,0,Tribeca West Historic District, ,5.18,6.02,6,6.5,1,1001410020,0,39,981356,200614,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,181.7661106,1736.326942,229636,14,0,1325,1324,8,1800,16.06666756,16.8029995,0.73633194,16.46761107,0.339291002,131.7408886 +1325,MN,629,22,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,326 WEST 14 STREET,C6-2A, , , , , , , , , ,N,M3,8,0, ,CHURCH OF ST BERNARD,2581,6555,6555,0,0,0,0,0,0,6555,2,1,5,0,1,25,103.25,25,58,E,3,N,5,1,382050,666450,0,0,1920,0,0, , ,2.54,6.02,6,6.5,1,1006290022,0,77,983142,208901,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,262.2320333,2759.225598,284400,8,0,1326,1325,12,2700,16.45777702,19.59444427,3.136667252,16.83814748,0.919286496,202.0577698 +1326,MN,608,13,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,152 WEST 13 STREET,R6, , , , , , , , , ,N,A5,1,0, ,VILLAGE GREENWICH LLC,2065,3381,0,3381,0,0,0,0,0,0,2,1,4,1,1,20,103.25,20,42, ,3,N,5,2,23604,156410,0,0,1899,2014,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1006080013,0,71,984352,207925,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.5192209,2102.236053,132806,8,0,1327,1326,10,2250,24.04400063,26.81311226,2.769111633,24.64057827,1.067468286,246.4057827 +1327,MN,582,34,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,39 BEDFORD STREET,C2-6,R6, , , , , , , , ,Y,C4,2,0, ,CARMINE LIMITED,1500,5750,0,5750,0,0,0,0,0,0,2,1,5,10,10,30,50,30,42, ,3,N,5,2,59173,203299,0,0,1910,1987,0, , ,3.83,3.44,2,6.5,1,1005820034,0,67,983067,205267,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,167.6282286,1649.963325,144126,9,0,1328,1327,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +1328,MN,407,36,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,218 AVENUE B,C1-6A, , , , , , , , , ,N,C4,2,0, ,"J&E TOM, LLC",1734,4905,1200,3705,0,1200,0,0,0,0,2,1,4,6,8,26.67,65,27,45, ,3,N,5,2,87625,276222,0,0,1900,2004,0, , ,2.83,4,2,4,1,1004070036,0,34,990175,204862,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,191.8971085,1869.047443,188597,12,1,1329,1328,9,2025,11.62699986,12.41666698,0.78966713,11.85639498,0.327377084,106.7075548 +1329,MN,96,8,101,15.01,3009,2,1,10038,E006,1,15,7700,1,1,1B,205 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,0,C,HOUSING PRESERVATION,1455,4960,4960,0,3505,1455,0,0,0,0,2,1,4,0,2,20.08,72.5,20,73, ,3,Y,5,0,198000,461700,198000,461700,1980,0,0,South Street Seaport Historic District, ,3.41,6.02,6,6.5,1,1000960008,0,1501,983352,196911,12b, ,101S008,10103, ,0, ,1,1,1,17V1.1,0,192.7059385,1524.436661,263700,4,1,1330,1329,6,1350,5.993332863,6.116666794,0.123333931,6.013888518,0.045963842,36.08333111 +1330,MN,470,13,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,359 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,M1,8,0,X,HOLLY TRINITY UKRAINI,9630,8971,8971,0,0,2080,0,0,0,6891,2,1,2,0,2,71.5,127.33,98,137, ,2,Y,5,2,981000,1582650,981000,1582650,1900,1986,0, , ,0.93,6.02,6,6.5,1,1004700013,0,41,985463,201486,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,448.3571255,9552.148758,601650,0,0,1331,1330,42,9450,28.80888939,38.54333115,9.734441757,31.76780442,4.000808594,1334.247786 +1331,MN,412,35,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,161 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,LUDLOW 161 REALTY ASS,1838,9190,1838,7352,0,1838,0,0,0,0,2,1,5,8,9,24.5,75,25,54, ,3,N,5,2,50287,114683,0,0,1900,1984,0, , ,5,4,4,4,1,1004120035,0,3001,987606,202120,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,207.7314002,2000.959121,64396,1,0,1332,1331,9,2025,31.02499962,32.75233459,1.727334976,31.40050613,0.702731391,282.6045551 +1332,MN,887,88,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,114 EAST 32 STREET,C6-2A, , , , , , , , , ,N,HS,5,0, ,MPA32 INC.,7743,121774,8600,113174,0,5600,0,3000,0,0,2,1,17,0,128,78.42,98.75,78.42,98.75, ,3,N,5,2,2250000,17277750,0,0,1927,2007,2008, , ,15.73,6.02,6,6.5,1,1008870088,0,72,989341,210802,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,356.3036467,7819.626317,15027800,10,0,1333,1332,35,7875,29.31800079,29.31800079,0,29.31800079,0,1026.130028 +1333,MN,592,18,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,361 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S9,4,0,P,AFRICAN AMERICAN CO.,1368,4200,1300,2900,0,1300,0,0,0,0,2,1,4,6,8,23.58,58,24,58,E,3,N,3,2,305941,722307,0,0,1910,0,0,Greenwich Village Historic District, ,3.07,3.44,0,6.5,1,1005920018,0,71,984023,206086,12c, ,103 005,10208, ,0, ,1, , ,17V1.1,0,173.3338668,1562.598027,416366,9,0,1334,1333,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +1334,MN,792,8,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,151 WEST 16 STREET,R8A, , , , , , , , , ,N,D3,3,0, ,SUPREME COMPANY I LLC,9652,43770,0,43770,0,0,0,0,0,0,2,1,7,76,76,109.67,92,110,57, ,2,Y,5,1,688500,5442300,0,0,1962,1988,0, , ,4.53,6,0,6,1,1007920008,0,81,984822,208798,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,403.2784301,9659.202946,4753800,7,0,1335,1334,42,9450,27.66555595,27.82766724,0.162111282,27.66941575,0.024714731,1162.115461 +1335,MN,455,47,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,337 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,LEM LEE 13TH LIMITEDP,2925,10730,0,10730,0,0,0,0,0,0,2,1,5,14,14,28.33,103.25,28,90, ,3,N,5,2,225450,1436850,0,0,1910,0,0, , ,3.67,4,2,4,1,1004550047,0,40,988779,205657,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,271.1139464,2984.097172,1211400,12,0,1336,1335,13,2925,22.17099953,23.45577812,1.284778595,22.26982865,0.342354124,289.5077724 +1336,MN,625,63,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,285 WEST 12 STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,285 WEST 12TH PROPERT,2080,4864,700,4164,0,700,0,0,0,0,2,1,4,12,13,32,65,32,38,E,3,N,5,2,228600,1524600,0,0,1841,1957,0,Greenwich Village Historic District, ,2.34,3.44,2,6.5,1,1006250063,0,77,983110,208046,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,195.6181267,2106.011736,1296000,8,0,1337,1336,10,2250,20.9066658,20.9066658,0,20.9066658,0,209.066658 +1337,MN,315,1,103,14.01,2002,1,1,10002,E015,7,14,7400,1,3,1B,409 GRAND STREET,R8, , , , , , , , , ,N,D4,3,0, ,BARRY APFEL,211025,1054290,19350,1034940,0,0,19350,0,0,0,2,2,20,880,880,647.5,214.33,312.58,127.5,E,0,Y,5,5,7290000,58007700,3274361,3274361,1960,0,0, , ,5,6.02,0,6.5,1,1003150001,0,1401,988158,199791,12d,Y,101N085,10107, ,0, ,1, , ,17V1.1,0,1964.611777,211041.8318,50717700,13,0,1338,1337,937,210825,33.32799912,43.09000015,9.762001038,40.14623201,1.830429397,37617.01939 +1338,MN,623,40,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,292 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"HOVNANIAN, RACHEL LEE",1200,3623,0,2780,0,0,0,0,0,0,2,1,3,1,1,20,60,20,42,E,3,N,5,1,163050,239690,0,0,1899,2013,0,Greenwich Village Historic District, ,3.02,2.43,0,4.8,1,1006230040,0,77,983189,207624,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,166.8821789,1243.531898,76640,8,0,1339,1338,6,1350,23.62700081,25.4533329,1.826332092,23.93138949,0.680633785,143.5883369 +1339,MN,496,33,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,238 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,238 LAFAYETTE CORP,753,728,728,0,0,728,0,0,0,0,2,1,1,0,1,25.83,29.17,27,26, ,3,N,5,0,45000,496350,0,0,1900,1985,2013,SoHo-Cast Iron Historic District Extensi, ,0.97,0,5,6.5,1,1004960033,0,43,985036,202567,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,107.0443611,700.547041,451350,0,0,1340,1339,3,675,34.36800003,34.36800003,0,34.36800003,0,103.1040001 +1340,MN,417,56,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,3B,185 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,"ORCHARD HOUSTON, LLC",4850,26550,4425,22125,0,4425,0,0,0,0,2,2,6,33,36,50.5,97,25,93, ,2,N,3,2,589500,4917600,0,2819515,1900,1986,2000, , ,5.47,6.02,6,6.5,1,1004170056,0,3001,987521,202492,12c, ,102 003,10204, ,1004170056,3/10/2005,1, , ,17V1.1,0,304.8058325,5209.362255,4328100,1,0,1341,1340,25,5625,33.19499969,35.0988884,1.903888702,33.72986664,0.742193363,843.246666 +1341,MN,106,5,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,270 WATER STREET,C6-2A, , , , , ,LM, , , ,N,C7,4,0,P,BUTTON FACTORY TENANT,3019,12585,585,12000,585,0,0,0,0,0,2,1,5,8,9,25,120.5,25,98, ,3,Y,5,2,256032,526016,0,0,1900,0,0,South Street Seaport Historic District E, ,4.17,6.02,6,6.5,1,1001060005,0,1501,983856,197503,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,298.307233,3280.222904,269984,4,1,1342,1341,14,3150,9.201000214,10.65222263,1.45122242,9.37427003,0.433877038,131.2397804 +1342,MN,768,82,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,172 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0,P,SIDNEY RUBELL FAMILY,2108,3776,982,2794,0,982,0,0,0,0,2,1,3,2,3,23.42,90,23.42,40,E,0,N,5,5,61322,153822,0,0,1910,0,0, , ,1.79,4,2,4,1,1007680082,0,87,984213,209790,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,230.0888318,2198.753409,92500,7,0,1343,1342,9,2025,21.88888931,21.88888931,0,21.88888931,0,197.0000038 +1343,MN,827,49,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,1129 BROADWAY,C5-2,M1-6, , , , , , , , ,Y,O6,5,0,P,KEW MGMT CORP,13898,183168,183168,0,172968,10200,0,0,0,0,2,2,16,0,229,116.75,109.08,23,90, ,0,Y,3,2,7785000,20018700,0,0,1896,1919,0,Madison Square North Historic District, ,13.18,10,10,10,1,1008270049,0,58,987194,210219,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,501.6400818,14283.80241,12233700,2,0,1344,1343,63,14175,42.81999969,45.08666611,2.266666412,43.49527486,0.227928905,2740.202316 +1344,MN,740,48,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,330 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,328 W17TH ST OWNERS I,2300,8525,0,8525,0,0,0,0,0,0,2,1,5,15,15,25,92,25,78, ,3,N,5,2,98100,898650,7481,7481,1900,1987,2000, , ,3.71,4,0,4,1,1007400048,0,83,983539,209621,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,241.0265752,2303.432684,800550,7,0,1345,1344,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +1345,MN,353,54,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,107 SUFFOLK STREET,R7A, , , , , , , , , ,N,J9,5,0,C,DEPARTMENT OF CULTURA,27617,90300,90300,0,90300,0,0,0,0,0,2,1,5,0,2,75.25,200.33,197,98, ,2,Y,3,2,1516500,7202700,1516500,7202700,1900,1986,2013, , ,3.27,4,0,4,1,1003530054,0,1402,987996,201228,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,817.0962924,28283.16216,5686200,13,0,1346,1345,126,28350,26.83777809,31.57111168,4.733333588,28.50116775,1.988792496,3591.147137 +1346,MN,9,14,101,9,1013,2,1,10004,L015,1,15,7700,1,1, ,17 STATE STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,17 STATE OWNER LLC,23080,544015,544015,0,542515,0,0,1500,0,0,2,1,42,0,81,227.83,203.09,176,118, ,1,Y,3,2,14670000,67729500,0,0,1987,1985,0, , ,23.57,10,15,15,1,1000090014,0,9,980402,195359,12b, ,101S001,10101, ,1000090023,12/26/1985,1,1,1,17V1.1,0,686.2301741,23733.05567,53059500,17,1,1347,1346,103,23175,7.106999874,10.03000069,2.923000813,8.900110013,0.588091102,916.7113314 +1347,MN,400,44,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,229 EAST 4 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,229 E 4 ST HOUSING ET,1891,5982,800,5182,0,800,0,0,0,0,2,1,5,6,7,19.67,96.17,20,59, ,3,N,5,1,17899,84418,11200,11200,1929,0,0, , ,3.16,3,0,3,1,1004000044,0,32,988968,202945,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.1818104,2106.955068,66519,1,0,1348,1347,10,2250,15.8922224,19.41444397,3.522221565,16.78108892,1.37545868,167.8108892 +1348,MN,417,72,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,184 ALLEN STREET,C4-4A, , , , , , , , , ,N,K1,5,0, ,ALLENORCHARD LLC,983,983,983,0,0,983,0,0,0,0,2,1,1,0,2,98.43,14.87,98.43,14.87, ,0,Y,5,5,110700,353250,0,0,1900,0,0, , ,1,4,4,4,1,1004170072,0,3001,987368,202292,12c, ,102 003,10204, ,1004170076,9/18/2007,1, , ,17V1.1,0,222.5335601,1041.462698,242550,1,0,1349,1348,4,900,33.19499969,36.27666473,3.081665039,34.60861111,1.425014963,138.4344444 +1349,MN,569,24,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,88 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,O6,5,0, ,88 TOWER LLC,6750,70642,70642,0,65142,5500,0,0,0,0,2,1,11,0,1,31.75,110.83,31.75,110, ,0,Y,5,5,747000,7210350,0,0,1906,1983,0, , ,10.47,6.02,2,6.5,1,1005690024,0,61,986094,206643,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,477.7737237,7111.608663,6463350,8,0,1350,1349,30,6750,34.37900162,37.48666763,3.107666016,34.50578308,0.567435422,1035.173492 +1350,MN,753,32,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,307 WEST 29 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,307 W 29TH STREET PAR,2189,7260,0,7260,0,0,0,0,0,0,2,1,5,18,18,22.17,98.75,22,62, ,3,N,5,2,135000,666450,0,0,1900,1987,0, , ,3.32,4,0,4,1,1007530032,0,97,985293,212340,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,251.740174,2361.476563,531450,6,0,1351,1350,11,2475,28.20800018,31.35888863,3.150888443,28.95408093,1.067714542,318.4948902 +1351,MN,886,37,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,145 EAST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,M CLANDORF,2634,9700,0,9700,0,0,0,0,0,0,2,1,5,18,18,26.67,98.75,27,89, ,3,N,5,1,128700,756900,0,0,1910,0,0, , ,3.68,4,0,4,1,1008860037,0,72,989639,210226,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,261.5265274,2782.647196,628200,10,0,1352,1351,12,2700,28.17889023,28.17889023,0,28.17889023,0,338.1466827 +1352,MN,875,10,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,109 EAST 19 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,DUANE MICHALS,1750,5000,0,5000,0,0,0,0,0,0,2,1,4,6,6,25,70,25,50,E,3,N,5,5,121213,431280,2187,2187,1900,1984,0, , ,2.86,4,0,4,1,1008750010,0,50,987771,207993,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,200.1186788,1906.161183,310067,5,0,1353,1352,8,1800,30.81999969,30.81999969,0,30.81999969,0,246.5599976 +1353,MN,806,58,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,128 WEST 31 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,132 WEST 31ST STR BLD,23050,384655,384655,0,357655,22000,0,5000,0,0,2,1,17,0,47,125,197.5,125,196, ,0,Y,4,5,13950000,58627350,0,0,1925,1989,0, , ,16.69,0,10,10,1,1008060058,0,101,986807,211862,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,651.6338124,23669.95615,44677400,6,0,1354,1353,106,23850,37.55799866,40.12444305,2.566444397,37.68583096,0.495854616,3994.698082 +1354,MN,144,12,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,155 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,HOUSE OF MONTY DUANE,641,3205,1282,1923,1282,0,0,0,0,0,2,1,5,4,5,25.17,25.67,25.17,25.67, ,0,Y,5,5,76759,126367,0,0,1910,0,0,Tribeca West Historic District, ,5,6.02,6,6.5,1,1001440012,0,33,981879,200430,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,105.4364574,693.5082322,49608,14,0,1355,1354,3,675,11.09777832,11.09777832,0,11.09777832,0,33.29333496 +1355,MN,447,30,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,93 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,93 FIRST,2425,6622,1310,5312,0,1310,0,0,0,0,2,2,5,16,19,24.25,100,24,54, ,3,N,5,1,218700,1183950,0,0,1900,0,0, , ,2.73,4,0,4,1,1004470030,0,38,987951,203895,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,252.7116383,2519.089796,965250,1,0,1356,1355,12,2700,25.30111122,27.56888962,2.267778397,26.01500018,0.919638698,312.1800022 +1356,MN,555,14,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,65 4 AVENUE,C6-2A, , , , , , , , , ,N,D5,3,0, ,65 4TH AVENUE LLC,3495,26455,2800,23655,0,2800,0,0,0,0,2,1,8,35,37,48,80.67,48,72, ,3,Y,5,2,783000,4837500,0,0,1900,1989,0, , ,7.57,6.02,6,6.5,1,1005550014,0,42,986975,205571,12c, ,102 017,10207, ,0, ,1, , ,17V1.1,0,248.0526206,3602.603029,4054500,12,0,1357,1356,16,3600,38.18777847,38.18777847,0,38.18777847,0,611.0044556 +1357,MN,577,24,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,22 WEST 14 STREET,C6-2M,C6-2, , , , , , , , ,Y,D4,3,0,P,25 WEST 13TH ST CORP,25812,151500,21500,130000,0,21500,0,0,0,0,2,1,7,182,186,150,206.5,150,206, ,3,Y,4,2,2133000,13944600,151787,151787,1960,1989,0, , ,5.87,6.02,6,6.5,1,1005770024,0,63,985550,207545,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,732.6650711,26857.78621,11811600,8,0,1358,1357,121,27225,30.09499931,33.26111221,3.1661129,30.32525647,0.744275964,3669.356033 +1358,MN,215,7503,101,39,1020,2,1,10013,L008,1,15,7700,3,1, ,151 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2853,16138,3817,12321,0,2379,0,1438,0,0,2,1,6,8,9,26,110,26,109, ,0,N,0,5,134881,1035817,0,0,1900,0,0,Tribeca North Historic District, ,5.66,6.02,6,6.5,1,1002157503,2039,39,981844,202128,12a, ,11N 040,10105, ,1002150025,7/28/2009,1, , ,17V1.1,7,282.5363498,3183.272005,900936,14,0,1359,1358,13,2925,14.9659996,14.9659996,0,14.9659996,0,194.5579948 +1359,MN,585,68,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,3 GROVE COURT,R6, , , , , , , , , ,N,A4,1,0, ,ERIC W HAGER,408,1152,0,1152,0,0,0,0,0,0,2,1,3,1,1,16.67,24.33,16.67,24.33, ,3,Y,6,2,22781,82944,1550,1550,1901,0,0,Greenwich Village Historic District, ,2.82,2.43,0,4.8,1,1005850068,0,73,982634,205973,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,80.21774217,384.0295042,60163,9,0,1360,1359,3,675,18.5988884,18.5988884,0,18.5988884,0,55.79666519 +1360,MN,886,86,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,102 EAST 31 STREET,C6-4A, , , , , , , , , ,N,C1,2,0, ,"102 EAST 31ST STREET,",2750,10670,0,10670,0,0,0,0,0,0,2,1,5,20,20,36,74,37,65, ,3,N,5,2,90000,885600,0,0,1910,0,0, , ,3.88,10,10,10,1,1008860086,0,72,989117,210647,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,232.0999944,3037.059079,795600,10,0,1361,1360,14,3150,33.23199844,39.25111008,6.019111633,33.90971266,1.728598367,474.7359772 +1361,MN,823,4,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,682 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,D0,3,0,P,682 6 AVE HOUSING DEV,2346,16965,4265,12700,0,2300,0,1965,0,0,2,1,8,5,8,24.67,95,25,92, ,3,N,5,2,235221,857727,235221,548268,1920,0,0,Ladies' Mile Historic District, ,7.23,6.02,6,6.5,1,1008230004,0,58,986125,209522,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,242.108051,2387.090837,622506,7,0,1362,1361,10,2250,33.74333191,33.74333191,0,33.74333191,0,337.4333191 +1362,MN,843,41,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,8 EAST 16 STREET,C6-2A, , , , , , , , , ,N,D6,4,0, ,"BOKHOUR, ESHANOLLAHTR",5433,20795,4159,16636,0,4159,0,0,0,0,2,1,5,18,20,52.5,103.25,53,89, ,3,N,5,2,472500,2187450,0,0,1925,1987,1988,Ladies' Mile Historic District, ,3.83,6.02,6,6.5,1,1008430041,0,52,986453,207723,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,317.2353311,5518.209078,1714950,7,0,1363,1362,23,5175,37.06999969,39.86666489,2.796665192,37.41053109,0.794266266,860.442215 +1363,MN,612,7504,102,71,4002,2,3,10014,Q018,6,15,6100,2,2, ,15 CHARLES STREET,C2-6,R6, , , , , , , , ,Y,RM,4,0, , ,10400,105590,12948,92642,0,4578,8324,46,0,0,2,1,18,122,123,110,95,0,0, ,0,Y,5,5,119697,10762009,10447,52312,1964,0,0,Greenwich Village Historic District, ,10.15,3.44,2,6.5,1,1006127504,850,71,983873,207189,12a, ,103 015,10209, ,1006120074,11/18/1993,1, , ,17V1.1,7,429.5956369,10802.67883,10642300,8,0,1364,1363,48,10800,21.78555489,25.11111069,3.325555801,22.06532812,0.758486792,1059.13575 +1364,MN,438,53,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,249 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,JUPITER-10,2369,9350,1558,7792,0,1558,0,0,0,0,2,1,5,19,21,25,94.75,25,73, ,3,N,5,2,87300,1830600,0,0,1900,1984,0, , ,3.95,4,0,4,1,1004380053,0,34,988735,204782,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.4376919,2493.121021,1743300,12,0,1365,1364,11,2475,17.98900032,22.71666718,4.727666855,18.78793959,1.404350546,206.6673355 +1365,MN,345,7501,103,22.01,1001,1,2,10002,L018,7,14,7600,2,3, ,154 ATTORNEY STREET,R7A, , , , , , , , , ,N,R4,3,0, , ,7500,35581,1240,33504,0,0,0,0,0,1240,2,1,7,41,41,75,100,74.33,70, ,0,N,0,5,337500,3449247,0,636968,2004,0,0, , ,4.74,4,0,4,1,1003457501,1569,2201,988921,201731,12c, ,102 005,10201, ,1003450003,11/3/2006,1, , ,17V1.1,7,354.1583435,7656.928903,3111750,1,0,1366,1365,35,7875,18.41222191,19.39333344,0.981111526,18.44025367,0.163451832,645.4088783 +1366,MN,927,33,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,340 EAST 22 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,338-340 EAST 22ND LLC,2438,8885,0,8885,0,0,0,0,0,0,2,1,5,20,20,25,97.5,25,83, ,3,N,5,1,129150,1231200,0,0,1925,1980,0, , ,3.64,4,0,4,1,1009270033,0,64,989882,207515,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,251.8038378,2582.767108,1102050,11,0,1367,1366,11,2475,12.9244442,13.84000015,0.915555954,13.07909073,0.329223556,143.869998 +1367,MN,212,7503,101,33,3009,2,1,10013,L008,1,15,7700,3,1, ,1 YORK STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,21412,81052,23467,56055,0,23467,0,0,0,0,2,1,13,33,36,100.61,181.62,100,181, ,1,Y,1,5,1904854,9869854,4720,61140,1890,0,0, , ,3.79,6.02,6,6.5,1,1002127503,1844,33,982699,202089,12a, ,11N 041,10105, ,1002120024,5/23/2008,1,1,1,17V1.1,7,538.7118647,15561.00789,7965000,0,1,1368,1367,68,15300,9.686666489,11.67555523,1.988888741,9.83382664,0.426320075,668.7002115 +1368,MN,584,41,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,43 MORTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,APPELLATION CORP.,23246,5125,0,5125,0,0,0,0,0,0,2,1,4,3,3,25.33,100,25.33,45, ,2,Y,5,0,27559,201298,0,0,1901,0,0,Greenwich Village Historic District, ,0.22,2.43,0,4.8,1,1005840041,0,67,982793,205605,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,247.6439841,2375.63202,173739,9,0,1369,1368,11,2475,16.16111183,16.16111183,0,16.16111183,0,177.7722301 +1369,MN,586,17,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,12 LEROY STREET,R6, , , , , , , , , ,N,B9,1,0, ,"12 LEROY STREET, LLC",1600,2719,0,2719,0,0,0,0,0,0,2,1,3,2,2,20,80,20,48.5, ,3,N,5,2,17555,231873,0,0,1899,2008,2008,Greenwich Village Historic District Exte, ,1.7,2.43,0,4.8,1,1005860017,0,67,983368,205463,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,205.1007947,1655.733074,214318,9,0,1370,1369,8,1800,15.38333321,18.03555489,2.65222168,16.19222188,1.071297712,129.537775 +1370,MN,415,20,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,61 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,M1,8,0,X,METRO NEW YORK DISTRI,3480,9759,9759,0,0,0,0,0,0,9759,2,1,4,0,1,39.42,100,39,72, ,3,Y,5,2,216450,606600,216450,606600,1920,0,0, , ,2.8,4,4,4,1,1004150020,0,18,986927,201765,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,282.5159585,3616.54117,390150,13,0,1371,1370,15,3375,37.10666656,38.70888901,1.602222443,37.21348139,0.399664496,558.2022209 +1371,MN,163,25,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,59 BAYARD STREET,C6-1, , , , , , , , , ,N,C4,2,0,P,59 BAYARD ST REALTY C,2400,9618,2500,7118,0,2500,0,0,0,0,2,2,5,8,9,23.5,24,23.5,52, ,0,Y,5,5,74130,431840,0,296671,1910,1996,0, , ,4.01,3.44,6,6.5,1,1001630025,0,29,984817,199848,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,253.2576013,2446.969298,357710,14,0,1372,1371,9,2025,33.5909996,36.6511116,3.060112,33.93101205,0.96170042,305.3791084 +1372,MN,874,36,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,153 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,C1,2,0, ,QUAD REALTY LLC,3899,14408,0,14408,0,0,0,0,0,0,2,1,6,24,24,42.33,92,42.33,79, ,3,N,5,2,396000,2749950,0,0,1910,1988,0,Gramercy Park Historic District, ,3.7,4,0,4,1,1008740036,0,50,988193,207493,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,272.5860978,3960.314189,2353950,5,0,1373,1372,17,3825,27.68333435,28.93111038,1.247776031,27.91508562,0.437161103,474.5564556 +1373,MN,742,54,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,328 WEST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"328 WEST 19TH STREET,",4029,15195,0,15195,0,0,0,0,0,0,2,1,6,24,24,42.67,92,44,61,E,3,N,5,2,232200,1712250,0,0,1910,1987,0, , ,3.77,3,0,3,1,1007420054,0,89,983781,210043,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,272.8481544,4006.143878,1480050,7,0,1374,1373,19,4275,15.59444427,18.67888832,3.084444046,15.77053783,0.687976453,299.6402187 +1374,MN,778,47,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,212 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O5,5,0, ,KOPATSOS (GENERAL PA,2419,9212,9212,0,7412,1800,0,0,0,0,2,1,4,0,5,24.5,98.75,24.5,94, ,3,N,5,2,191700,503550,0,0,1920,0,0, , ,3.81,10,10,10,1,1007780047,0,95,985971,211787,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,251.946554,2554.550655,311850,6,0,1375,1374,12,2700,28.45999908,32.22888947,3.768890381,28.77407328,1.041666272,345.2888794 +1375,MN,447,23,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,334 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,334 E 6TH LLC,2425,6750,1100,5650,0,1100,0,0,0,0,2,1,5,10,11,25,97,25,52, ,3,N,5,1,168750,545850,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.78,4,0,4,1,1004470023,0,38,987836,203974,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.2036992,2505.944499,377100,1,0,1376,1375,12,2700,27.93177795,29.96222115,2.030443192,28.44398197,0.63089821,341.3277836 +1376,MN,392,34,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,153 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"153 AVENUE C,",1909,6245,1000,5245,0,1000,0,0,0,0,2,1,5,8,9,23,83,23,54, ,2,N,5,2,180401,424316,0,0,1951,1998,0, , ,3.27,4,0,4,1,1003920034,0,28,990348,203673,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,215.2480254,1897.498665,243915,12,1,1377,1376,10,2250,7.576999664,9.291110992,1.714111328,8.037866402,0.710529624,80.37866402 +1377,MN,644,37,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,831 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,1275,2397,2397,0,1198,1199,0,0,0,0,2,1,2,0,1,25,44.92,25,44.92, ,0,Y,5,5,225000,1056600,0,0,1940,0,0,Gansevoort Market Historic District, ,1.88,0,5,6.5,1,1006440037,0,79,982091,208860,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,167.9050062,1494.556718,831600,8,1,1378,1377,7,1575,13.47799969,13.47799969,0,13.47799969,0,94.34599781 +1378,MN,306,17,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,277 GRAND STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,M.Y.D. ENTERPRISE COR,2793,8379,8379,0,5586,2793,0,0,0,0,2,1,3,0,4,40,69.5,40,66, ,3,Y,5,2,271350,1072800,0,0,1900,0,0, , ,3,3.44,6,6.5,1,1003060017,0,16,986246,200729,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,226.4318901,2950.154181,801450,13,0,1379,1378,14,3150,37.59777832,39.57777786,1.979999542,37.73920686,0.509927848,528.348896 +1379,MN,235,8,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,214 CENTRE STREET,M1-5B, , , , , , , , , ,N,M1,8,0,X,AMERICAN SOCITY BDHTS,2838,14000,14000,0,14000,0,0,0,0,0,2,1,5,0,1,25,120,25,100, ,2,Y,4,2,319500,630900,319500,630900,1900,1985,0, , ,4.93,0,5,6.5,1,1002350008,0,41,984623,201277,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,297.7311153,3099.797404,311400,0,0,1380,1379,14,3150,18.99699974,20.92000008,1.923000336,19.15104743,0.494274436,268.1146641 +1380,MN,488,30,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,382 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K1,5,0,P,382 W BROADWAY LLC,3450,10000,10000,0,0,10000,0,0,0,0,2,1,1,0,1,50,69,50,69, ,3,N,5,1,778500,4287600,0,0,1986,2012,0,SoHo-Cast Iron Historic District Extensi, ,2.9,0,5,6.5,1,1004880030,0,47,983480,203016,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,249.8895168,3749.283112,3509100,0,1,1381,1380,17,3825,9.686666489,12.17111111,2.484444618,9.83281029,0.584575204,167.1577749 +1381,MN,846,19,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,857 BROADWAY,C6-4,M1-5M, , , , ,US, , , ,Y,O5,5,0,P,I.C. READ LLC,2917,11636,11636,0,6090,5546,0,0,0,0,2,1,4,0,7,27.5,116.83,27,115, ,3,Y,3,2,405000,2866050,0,0,1910,1987,0,Ladies' Mile Historic District, ,3.99,10,10,10,1,1008460019,0,52,986866,207908,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,289.0737204,3287.386378,2461050,7,0,1382,1381,15,3375,39.36555481,44.21444321,4.848888397,39.68881404,1.209525273,595.3322105 +1382,MN,743,7,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,363 WEST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,GFM REALTY CORP,2024,3960,0,3960,0,0,0,0,0,0,2,1,3,9,9,22,92,22,58, ,3,N,5,1,66019,322400,0,0,1920,1974,0, , ,1.96,3,0,3,1,1007430007,0,89,983568,210332,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,232.1329155,2119.429465,256381,7,0,1383,1382,10,2250,15.57888889,15.57888889,0,15.57888889,0,155.7888889 +1383,MN,239,31,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,102 BOWERY,C6-1G, , , , , ,LI, , , ,N,S5,4,0,P,CHUNKO REALTY INC,2251,6312,2251,4061,0,2251,0,0,0,0,2,1,4,6,7,25,90.33,25,70,E,3,N,5,2,187319,581956,0,0,1920,0,0, , ,2.8,3.44,6,6.5,1,1002390031,0,41,985513,200809,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,240.4691077,2426.530154,394637,0,0,1384,1383,12,2700,31.48699951,38.56555557,7.078556061,33.07473119,2.655114899,396.8967743 +1384,MN,719,69,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,448 WEST 22 STREET,R7B, , , , , , , , , ,N,B2,1,0, ,448 WEST 22 STREET LL,1080,3120,0,3120,0,0,0,0,0,0,2,1,4,2,2,15,72,15,52, ,2,N,5,2,52316,151219,0,0,1920,1999,2009,Chelsea Historic District, ,2.89,3,0,3,1,1007190069,0,89,983281,211186,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,172.1599517,1034.226245,98903,7,1,1385,1384,5,1125,10.39400005,13.57999992,3.18599987,11.03120003,1.274399948,55.15600014 +1385,MN,461,33,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,91 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"EASTERN GROUP,",2425,7982,1455,6527,0,1455,0,0,0,0,2,1,5,9,10,24.25,100,24,100, ,3,N,5,2,91508,295509,0,0,1910,1987,2008,East Village/Lower East Side Historic Di, ,3.29,4,0,4,1,1004610033,0,38,987262,204193,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,256.9579283,2507.491496,204001,1,0,1386,1385,11,2475,36.55199814,36.64622116,0.094223022,36.56056387,0.027087214,402.1662025 +1386,MN,849,6,105,52,2000,2,2,10003,E014,13,15,5700,1,5,1O,5 EAST 20 STREET,M1-5M, , , , , , , , , ,N,K4,4,0, ,"LAKE DISTRICT,",1200,3600,2400,1200,1200,1200,0,0,0,0,2,1,3,1,3,25,48,25,48, ,2,N,5,2,263250,427500,0,0,1910,1989,0,Ladies' Mile Historic District, ,3,0,5,6.5,1,1008490006,0,52,986936,208719,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,153.4732663,1272.270371,164250,7,0,1387,1386,4,900,40.92599869,40.92599869,0,40.92599869,0,163.7039948 +1387,MN,863,67,105,74,1002,2,4,10016,L024,14,15,5200,1,5,2B,178 MADISON AVENUE,C5-2, , , , , , , , , ,N,O4,5,0,P,180 MADISON PRISA II,13000,235564,235564,0,217564,18000,0,0,0,0,2,1,24,0,78,113.42,120,114,113, ,2,Y,3,2,9900000,39908250,0,0,1927,0,0, , ,18.12,10,10,10,1,1008630067,0,74,988838,211664,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,473.6651771,13444.13389,30008300,10,0,1388,1387,59,13275,47.63299942,47.63299942,0,47.63299942,0,2810.346966 +1388,MN,621,9,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,106 PERRY STREET,C1-6, , , , , , , , , ,N,C2,2,0,P,106 PERRY LLC,2397,6668,0,6668,0,0,0,0,0,0,2,2,3,6,6,25.17,95.25,25,42, ,3,Y,5,5,182504,506844,0,0,1847,1985,2004,Greenwich Village Historic District, ,2.78,3.44,2,6.5,1,1006210009,0,73,982686,207056,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,246.4915826,2398.499587,324340,9,0,1389,1388,12,2700,21.76222229,23.12333298,1.361110687,21.98833338,0.505603032,263.8600006 +1389,MN,720,27,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,441 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,278 WEST 11 LLC,1975,5200,0,5200,0,0,0,0,0,0,2,1,4,9,9,20,98.75,20,54, ,3,N,5,1,97832,457546,0,0,1900,1970,0,Chelsea Historic District Extension, ,2.63,3,0,3,1,1007200027,0,93,983428,211271,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,230.5612226,1982.500428,359714,2,1,1390,1389,8,1800,9.369999886,10.47000027,1.100000381,9.632638812,0.382008255,77.0611105 +1390,MN,93,24,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1, ,164 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,K4,4,0, ,HUNG TAO REALTY,1528,6590,6590,0,0,1470,0,0,0,5120,2,1,5,0,3,24.5,66.83,25,60, ,3,Y,5,2,270000,556200,0,0,1900,1989,0, , ,4.31,10,10,10,1,1000930024,0,1501,982681,197991,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,182.6686271,1548.681677,286200,4,0,1391,1390,8,1800,25.50699997,29.74555588,4.238555908,26.03681946,1.401770606,208.2945557 +1391,MN,277,1,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,75 MADISON STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,W & W FIRST REALTY IN,2515,8157,0,8157,0,0,0,0,0,0,2,1,5,10,10,25,100.58,25,66, ,3,N,5,2,54361,210078,0,0,1900,0,0, , ,3.24,3.44,0,6.5,1,1002770001,0,8,985223,198804,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,257.8739818,2705.066995,155717,16,0,1392,1391,12,2700,21.55400085,24.97444534,3.420444489,22.26276,1.118225232,267.15312 +1392,MN,411,63,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,141 ESSEX STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"TALAVERAS, CARLOS EFR",2250,9150,500,8650,0,500,0,0,0,0,2,1,5,14,16,25,90,25,80, ,3,N,5,2,157500,1116900,0,0,1900,1988,0, , ,4.07,4,4,4,1,1004110063,0,3001,987702,201759,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,236.4578458,2322.553801,959400,1,0,1393,1392,11,2475,30.50799942,32.19111252,1.683113098,30.73131284,0.49658778,338.0444412 +1393,MN,527,93,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,31 DOWNING STREET,R6, , , , , , , , , ,N,C4,2,0, ,"31 DOWNING STREET,",1750,6710,0,6710,0,0,0,0,0,0,2,1,5,18,18,25,70,25,56, ,3,N,5,2,83250,890550,0,0,1900,1983,0,Greenwich Village Historic District Exte, ,3.83,2.43,0,4.8,1,1005270093,0,67,983266,205067,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,195.4432713,1803.033658,807300,9,0,1394,1393,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +1394,MN,150,15,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,122 DUANE STREET,C6-2A, , , , , , , , , ,N,D5,3,0, ,TRIBECA ASSOCIATES L,5833,29165,5800,23365,0,5800,0,0,0,0,2,1,5,16,26,50,117.33,50,117, ,2,Y,3,2,585000,4149000,0,0,1920,0,0, , ,5,6.02,6,6.5,1,1001500015,0,33,982296,200024,12a,Y,101S018,10104, ,0, ,1, , ,17V1.1,0,357.512884,6686.810246,3564000,14,0,1395,1394,30,6750,23.54111099,25.23555565,1.694444656,23.65634435,0.363630732,709.6903305 +1395,MN,779,10,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,249 WEST 29 STREET,M1-6D, , , , , , , , , ,N,D4,3,0, ,249 W 29 OWNERS CORP,4937,60610,8000,52610,0,8000,0,0,0,0,2,1,15,39,41,50.17,98.75,50,99, ,2,Y,5,2,386100,6204150,55390,55390,1927,1980,0, , ,12.28,10,10,10,1,1007790010,0,95,985682,212123,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,312.9988583,5572.973639,5818050,6,0,1396,1395,25,5625,30.25666809,31.98444366,1.727775574,31.00724403,0.295372564,775.1811008 +1396,MN,935,45,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,328 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,BARBARA R. STEEL,2074,3780,0,2835,0,0,0,0,0,0,2,1,3,3,3,21,98.75,21,45, ,2,N,5,1,79284,182739,0,0,1910,0,0, , ,1.82,3,0,3,1,1009350045,0,70,990743,209436,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,248.2839332,2301.099449,103455,10,0,1397,1396,10,2250,35.01100159,38.51889038,3.507888794,36.44251213,1.305104339,364.4251213 +1397,MN,935,60,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,538 2 AVENUE,C1-8, , , , , , , , , ,N,S3,4,0, ,"CHUNG, YI-SHAN",1515,3045,887,2158,0,887,0,0,0,0,2,1,3,3,4,20,75.75,20,50, ,3,N,5,5,199879,404756,0,0,1910,1989,0, , ,2.01,7.52,2,10,1,1009350060,0,70,990471,209609,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,194.2919201,1612.33154,204877,10,0,1398,1397,7,1575,32.43500137,35.29444504,2.859443665,32.900874,0.986949954,230.306118 +1398,MN,401,49,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,529 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,KRAMAR CHUK REALTY CO,2385,6691,800,5891,0,800,0,0,0,0,2,1,5,9,10,24.58,97,25,54, ,3,N,5,2,14281,79028,0,0,1900,1985,0, , ,2.81,3,0,3,1,1004010049,0,32,988985,203223,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,253.1151384,2567.965553,64747,1,0,1399,1398,12,2700,14.20666695,16.03000069,1.82333374,14.84981489,0.714019977,178.1977787 +1399,MN,862,67,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,10 EAST 33 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,ADW 33RD STREET LLC,2469,29757,29757,0,27457,2300,0,0,0,0,2,1,12,0,13,25,98.75,24,94,E,2,N,5,2,792000,2444400,0,0,1908,0,0, , ,12.05,10,10,10,1,1008620067,0,74,988540,211540,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,256.478413,2611.458161,1652400,10,0,1400,1399,10,2250,45.24111176,46.99555588,1.754444122,46.41866608,0.515472627,464.1866608 +1400,MN,438,40,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,275 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,ZOY ASSOCIATES INC,2369,8190,0,8190,0,0,0,0,0,0,2,1,5,20,20,25,94.75,25,62, ,3,N,5,2,135000,360450,0,0,1910,1986,1987, , ,3.46,4,0,4,1,1004380040,0,34,989018,204624,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,250.2067291,2527.15583,225450,12,0,1401,1400,11,2475,17.63888931,19.09777832,1.458889008,18.12432358,0.391183281,199.3675594 +1401,MN,233,2,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,9 CROSBY STREET,M1-5B, , , , , , , , , ,N,H1,5,0, ,"9 CROSBY, LLC",14470,121165,3137,0,0,3137,0,0,0,0,2,1,26,0,0,50.17,99,100.52,95,E,3,N,5,2,9767250,39038850,0,0,1914,2007,2007,SoHo-Cast Iron Historic District Extensi, ,8.37,0,5,6.5,1,1002330002,0,45,984343,201490,12c, ,101N047,10105, ,1002330002,10/4/2011,1, , ,17V1.1,0,604.6413191,15108.96104,29271600,0,0,1402,1401,67,15075,17.40800095,21.04777718,3.63977623,17.49162611,0.498254108,1171.93895 +1402,MN,804,20,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,127 WEST 28 STREET,M1-6, , , , , , , , , ,N,H2,5,0,P,FORTUNA REALTY LLC,4938,59843,0,0,0,0,0,0,0,0,2,2,18,0,1,50,98.75,50,90, ,1,N,5,0,1890000,11613150,0,0,2008,0,0, , ,12.12,0,10,10,1,1008040020,0,95,986542,211353,8d, ,105S023,10305, ,1008040020,12/28/2009,1, , ,17V1.1,0,301.6007474,5024.683493,9723150,2,0,1403,1402,21,4725,33.41199875,37.77111053,4.359111786,35.93990889,1.423734096,754.7380867 +1403,MN,622,45,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,264 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"ROSS,CLIFFORD",2375,8750,0,7000,0,0,0,0,0,0,2,1,4,2,2,25,95,25,70, ,2,N,5,3,141044,537525,0,0,1920,0,0,Greenwich Village Historic District, ,3.68,2.43,0,4.8,1,1006220045,0,73,983155,207393,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,248.7858261,2628.993939,396481,8,0,1404,1403,11,2475,24.5988884,27.67111015,3.072221756,24.98165616,0.894823946,274.7982178 +1404,MN,886,41,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,155 EAST 30 STREET,C1-9, , , , , , , , , ,N,D1,3,0, ,GLM333 REALTY LLC,2710,13000,0,13000,0,0,0,0,0,0,2,1,5,24,24,40,67.75,40,43,E,0,N,5,5,589500,1794600,0,0,1925,1983,0, , ,4.8,10,2,10,1,1008860041,0,72,989719,210165,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,228.9551716,3010.491164,1205100,10,0,1405,1404,13,2925,28.17889023,28.17889023,0,28.17889023,0,366.325573 +1405,MN,277,18,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,109 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,PH 109 MADISON II LLC,2514,9480,2000,7480,0,2000,0,0,0,0,2,1,5,20,22,25,100.58,25,86, ,2,N,5,1,90000,828450,0,0,1900,1985,0, , ,3.77,3.44,0,6.5,1,1002770018,0,8,985650,198851,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.1771911,2566.745065,738450,16,0,1406,1405,12,2700,26.91300011,27.96444511,1.051445007,27.14033349,0.390270049,325.6840019 +1406,MN,390,105,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,119 AVENUE B,R7A, , , , , , , , , ,N,M3,8,0,X,ST BRIDGETS RC CHURCH,1404,3040,3040,0,0,0,0,0,0,3040,2,1,4,0,1,19.5,72,20,64, ,1,N,5,1,53100,186750,53100,186750,1965,0,0, , ,2.17,4,0,4,1,1003900105,0,2602,989582,203528,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,187.1827467,1483.266874,133650,12,1,1407,1406,7,1575,10.21899986,10.59322262,0.374222755,10.32393646,0.165960852,72.26755524 +1407,MN,434,8,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,114 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,BADRI LLC,1487,5397,1000,4397,0,1000,0,0,0,0,2,1,5,4,5,21.25,70,21,60,E,3,N,5,5,125949,187664,0,0,1900,1988,0, , ,3.63,4,0,4,1,1004340008,0,32,988244,204047,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,185.6005839,1550.269819,61715,12,0,1408,1407,7,1575,20.12299919,25.46777725,5.344778061,20.88653891,1.87028272,146.2057724 +1408,MN,281,32,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,68 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0, ,HYETON CORP,1725,6172,6172,0,4629,1543,0,0,0,0,2,1,4,0,4,25.08,68.75,25,59, ,3,Y,5,2,135000,432900,0,0,1900,0,0, , ,3.58,3.44,6,6.5,1,1002810032,0,8,985671,199356,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,195.1431681,1849.755659,297900,16,0,1409,1408,5,1125,35.10200119,35.51044464,0.408443451,35.18368988,0.16337738,175.9184494 +1409,MN,717,40,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,161 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,C6,2,0, ,161 NINTH LTD,2021,5021,0,5021,0,0,0,0,0,0,2,1,4,8,8,26.17,77,26,46, ,3,N,5,2,80326,376273,16520,16520,1900,1969,0,Chelsea Historic District, ,2.48,3,0,3,1,1007170040,0,89,983382,210520,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,211.3160156,2025.713568,295947,7,1,1410,1409,8,1800,9.621110916,13.60577774,3.984666824,10.55974984,1.629836458,84.47799873 +1410,MN,743,80,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,160 9 AVENUE,C2-6A, , , , , , , , , ,N,C6,2,0, ,NINTH AVENUE APARTMEN,5757,21304,782,20522,0,782,0,0,0,0,2,5,4,35,36,48.58,100,26,55, ,3,Y,3,5,298800,2212650,54581,54581,1920,1981,0,Chelsea Historic District, ,3.7,4,2,4,1,1007430080,0,89,983567,210459,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,399.8193139,6166.167425,1913850,7,0,1411,1410,28,6300,15.57888889,16.58888817,1.009999275,15.69448403,0.290940667,439.4455528 +1411,MN,874,33,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,151 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,D4,3,0, ,149 EAST 18TH STREET,3466,7733,600,7133,600,0,0,0,0,0,2,2,4,6,7,37.67,92,18.83,50, ,3,N,5,2,106452,659100,2360,2360,1900,1986,2005,Gramercy Park Historic District, ,2.23,4,0,4,1,1008740033,0,50,988158,207513,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,266.3148354,3664.656793,552648,5,0,1412,1411,17,3825,27.68333435,29.96999931,2.286664963,27.81960869,0.537643812,472.9333477 +1412,MN,567,23,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,23 EAST 9 STREET,C1-7, , , , , , , , , ,N,S5,4,0, ,LESHKO ALLA,2076,4786,1000,3786,0,1000,0,0,0,0,2,1,3,5,6,22.5,92.25,23,59,E,2,N,5,5,164814,627484,0,0,1910,0,0,Greenwich Village Historic District, ,2.31,6.02,2,6.5,1,1005670023,0,59,985783,206135,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,230.6105122,2095.125787,462670,8,0,1413,1412,10,2250,27.86444473,32.22999954,4.36555481,28.73555565,1.742227572,287.3555565 +1413,MN,572,66,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,45 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0,P,WEST 8TH STREET ASSOC,4320,17052,8496,8556,0,5704,0,2792,0,0,2,2,5,12,15,46,93.92,46,62, ,3,N,5,0,346500,1610550,0,0,1920,2006,0,Greenwich Village Historic District, ,3.95,3.44,3.4,6.5,1,1005720066,0,63,984688,206460,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,287.4647081,4495.605464,1264050,8,0,1414,1413,21,4725,18.70499992,22.26555443,3.560554504,19.4592326,1.177985801,408.6438847 +1414,MN,438,28,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,171 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,AVE A REALTY MGT INC,2225,10571,1842,8729,0,1842,0,0,0,0,2,1,6,18,19,23.67,94,23.67,76, ,0,N,5,5,215100,1180350,0,0,1900,1997,1997, , ,4.75,4,0,4,1,1004380028,0,34,989190,204654,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,244.5391409,2431.737669,965250,12,0,1415,1414,10,2250,17.63888931,18.33755493,0.698665619,17.98884468,0.156226692,179.8884468 +1415,MN,222,7502,101,39,1013,2,1,10013,L008,1,15,7700,3,1, ,195 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,13346,70622,0,70622,0,0,0,0,0,0,2,1,7,27,27,0.3,0,0,0, ,0,N,0,5,1741504,8831251,9440,9440,1920,0,0, , ,5.29,6.02,6,6.5,1,1002227502,1064,39,981915,202716,12a, ,11N 064,10105, ,1002220012,12/20/1999,1, ,1,17V1.1,7,477.5352212,14211.0737,7089750,0,1,1416,1415,62,13950,11.36777782,12.59422302,1.226445198,12.20113825,0.157095456,756.4705715 +1416,MN,544,13,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,419 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O6,5,0,P,MICHAEL BAUM LLC,8062,57729,57729,0,50513,7216,0,0,0,0,2,1,8,0,6,52.08,150.25,52,145,E,3,Y,5,2,706500,4883850,0,0,1894,1986,2006,NoHo Historic District, ,7.16,0,5,6.5,1,1005440013,0,57,986472,204728,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,430.3891423,7990.152466,4177350,9,0,1417,1416,36,8100,40.7820015,44.41444397,3.632442474,40.93592739,0.666365431,1473.693386 +1417,MN,584,7501,102,67,4002,2,3,10014,E024,6,15,6400,2,2, ,442 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,RM,4,0, ,Z H CONTROL CO,25000,106765,6132,100633,0,6132,0,0,0,0,2,3,6,169,170,200,125,0,200, ,0,N,5,5,1804500,11980800,96760,96760,1925,0,0,Greenwich Village Historic District, ,4.27,3.44,2,6.5,1,1005847501,743,67,982502,205698,12a, ,103 004,10208, ,1005840001,12/12/1990,1, , ,17V1.1,7,666.5893125,26364.31875,10176300,9,0,1418,1417,116,26100,16.16111183,19.24777794,3.086666107,16.3434834,0.64375426,1895.844074 +1418,MN,904,24,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,225 EAST 23 STREET,C2-8A,C1-9A,R8B,C1-8A, , ,TA, , , ,Y,W5,8,0,C,NYC ECF,43634,28876,28876,0,0,0,0,0,0,28876,2,1,6,0,0,123.42,170.75,122,197, ,0,Y,3,5,1669050,3013650,1669050,3013650,1925,2010,0, , ,0.66,10,2,10,1,1009040024,0,64,989423,208287,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,1038.681527,44369.18851,1344600,11,0,1419,1418,198,44550,21.18099976,23.93888855,2.757888794,21.46083087,0.724658913,4249.244513 +1419,MN,412,9,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,188 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,188 ORCHARD STREET CR,2195,8944,1789,7154,0,1789,0,0,0,0,2,1,5,17,19,25.08,87.5,25,77, ,3,N,5,2,222750,1165500,0,0,1900,1980,1986, , ,4.07,4,4,4,1,1004120009,0,3001,987580,202323,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.2113007,2329.704374,942750,1,0,1420,1419,12,2700,34.02799988,34.57555389,0.547554016,34.11609236,0.197133436,409.3931084 +1420,MN,396,20,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,626 EAST 14 STREET,R7-2, , , ,C1-5, , , , , ,N,C6,2,0,P,14 BC APARTMENT CORP,17372,65585,1690,63895,0,1690,0,0,0,0,2,6,5,117,119,168.25,103.25,27,85, ,2,N,5,2,972000,4053600,73284,73284,1920,1988,0, , ,3.78,3.44,0,6.5,1,1003960020,0,28,990685,204722,12c, ,102 030,10203, ,1003960025,12/22/1988,1,1,1,17V1.1,0,549.4805828,17931.83402,3081600,12,1,1421,1420,80,18000,6.340000153,8.984110832,2.64411068,6.575622356,0.6300208,526.0497885 +1421,MN,206,26,102,41,5004,2,1,10013,L006,5,15,6800,1,2, ,203 CANAL STREET,C6-2G, , , , , ,LI, , , ,N,D7,4,0, ,MALNEUT REALTY CORP,3608,16120,6448,9672,3224,3224,0,0,0,0,2,1,5,6,14,52.25,75.67,52,76, ,2,Y,3,2,666000,1799550,0,0,1915,0,0, , ,4.47,6.02,6,6.5,1,1002060026,0,41,984635,200635,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,251.5064245,3887.637683,1133550,14,0,1422,1421,17,3825,25.95999908,33.4366684,7.476669312,26.50490121,1.783010523,450.5833206 +1422,MN,885,29,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,137 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0, ,129 E 29 ST ASSOCIATE,1424,5708,1427,4281,0,1427,0,0,0,0,2,1,4,6,7,16.75,85,17,84, ,2,N,3,2,78820,425854,0,0,1920,1985,0, , ,4.01,6.02,6,6.5,1,1008850029,0,72,989322,210061,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,212.6491757,1614.770203,347034,11,0,1423,1422,8,1800,30.56200027,30.56200027,0,30.56200027,0,244.4960022 +1423,MN,450,22,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,336 EAST 9 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,MICHAEL WERNICK,2348,4500,1500,3000,0,0,1500,0,0,0,2,1,2,1,2,25,93.92,25,90, ,3,N,5,5,56077,70264,1550,1550,1899,0,0, , ,1.92,4,0,4,1,1004500022,0,38,988132,204663,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,244.0867576,2384.760636,14187,12,0,1424,1423,11,2475,25.4810009,28.23888969,2.757888794,25.9794452,0.953117135,285.7738972 +1424,MN,463,25,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,32 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"ST. MARKS ASSETS, INC",3120,11637,2327,9310,0,2327,0,0,0,0,2,1,5,20,22,26,120,26,102, ,3,N,5,1,315000,1441350,0,0,1900,1983,0, , ,3.73,4,0,4,1,1004630025,0,38,987440,204747,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,298.4640535,3276.642981,1126350,12,0,1425,1424,14,3150,34.15777969,36.03888702,1.88110733,34.2921445,0.48445921,480.090023 +1425,MN,603,1,102,69,1004,2,3,10014,E024,6,15,6400,1,2,2B,371 WEST STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,WVH HOUSING DEVELOPME,66825,215890,0,215890,0,0,0,0,0,0,2,18,5,184,184,340,200,44.5,42.5, ,3,Y,3,0,1800000,9675450,1800000,9675450,1960,1972,0, , ,3.23,4,2,4,1,1006030001,0,69,981603,205813,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,0,1076.232975,68108.36106,7875450,9,1,1426,1425,303,68175,7.427777767,13.71000004,6.282222271,9.277655987,1.516416764,2811.129764 +1426,MN,906,28,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,449 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0, ,449 SECOND CORP,3116,8359,1500,6859,0,1500,0,0,0,0,2,1,4,14,15,31.17,100,31,76,E,3,N,5,2,120600,1088100,0,0,1920,0,0, , ,2.68,7.52,2,7.5,1,1009060028,0,66,989780,208746,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,264.505206,3190.185646,967500,11,0,1427,1426,15,3375,30.96199989,33.17444611,2.212446213,31.41423683,0.766137115,471.2135525 +1427,MN,574,11,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,64 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,11TH OWNERS CORP.,6269,14196,5600,8596,0,5600,0,0,0,0,2,3,3,14,15,66.58,94.75,22,84, ,3,N,5,1,167850,1699650,15079,15079,1900,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1005740011,0,63,984921,207006,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,323.9619383,6306.669432,1531800,8,0,1428,1427,29,6525,23.91922188,24.13299942,0.213777542,24.12330213,0.040480913,699.5757618 +1428,MN,909,19,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,237 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ANIDA REALTY LLC,2473,9995,0,9995,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,85, ,3,N,5,2,77400,1202850,0,0,1920,1986,0, , ,4.04,4,0,4,1,1009090019,0,66,990026,209424,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,253.554598,2548.268654,1125450,11,0,1429,1428,10,2250,34.61700058,37.6044426,2.987442017,35.12526703,1.035925634,351.2526703 +1429,MN,345,36,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,186 STANTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,146 ATTORNEY ST. LLC,1514,7800,1560,6240,0,1560,0,0,0,0,2,1,5,8,9,25.5,59.42,26,60,E,3,N,3,2,118499,356928,0,0,1910,2005,2005, , ,5.15,4,0,4,1,1003450036,0,2201,988837,201617,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,185.2367547,1795.191254,238429,1,0,1430,1429,7,1575,18.41222191,21.2761116,2.863889694,18.82134901,1.002152633,131.7494431 +1430,MN,607,54,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,117 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,J D MARKS ET AL,2375,5052,0,3653,0,0,0,0,0,0,2,1,2,3,3,23,103.25,23,49,E,3,N,5,1,50092,190771,0,0,1899,0,0,Greenwich Village Historic District, ,2.13,2.43,0,4.8,1,1006070054,0,71,984541,207396,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,255.2251256,2474.982332,140679,8,0,1431,1430,10,2250,21.80333328,22.62777901,0.824445724,22.07700005,0.345829971,220.7700005 +1431,MN,627,10,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,647 HUDSON STREET,M1-5, , , , , , , , , ,N,S3,4,0, ,"CALLEN, ROBINSON TR",1349,4192,700,3492,0,700,0,0,0,0,2,1,4,3,4,22.67,69.5,23,45, ,3,Y,5,5,58160,149630,0,0,1910,0,0,Gansevoort Market Historic District, ,3.11,0,5,6.5,1,1006270010,0,79,982673,208594,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,188.9581802,1374.444012,91470,8,0,1432,1431,8,1800,14.72666645,14.72666645,0,14.72666645,0,117.8133316 +1432,MN,353,52,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,108 NORFOLK STREET,R7A, , , , , , , , , ,N,D6,4,0,P,NORFOLK APARTMENTS LI,5026,35000,5000,30000,0,0,0,0,0,5000,2,1,7,48,52,50.17,100.17,50.17,100.17, ,0,N,5,5,675000,2357100,675000,2357100,1997,0,0, , ,6.96,4,0,4,1,1003530052,0,1402,987908,201205,12c, ,101N079,10201, ,1003530052,12/23/1998,1, , ,17V1.1,0,307.8029817,5195.043295,1682100,13,0,1433,1432,23,5175,26.83777809,30.82666588,3.988887787,27.44894716,1.329092358,631.3257847 +1433,MN,515,45,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,143 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,PRINCE LOFTS INC,2850,18214,2520,15694,0,2520,0,0,0,0,2,1,7,6,7,40,71.25,38,71, ,2,N,3,2,577443,1116134,7080,7080,1900,1974,0,SoHo-Cast Iron Historic District, ,6.39,0,5,6.5,1,1005150045,0,49,984078,203714,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,234.374195,3137.125267,538691,9,0,1434,1433,14,3150,20.20444489,20.20444489,0,20.20444489,0,282.8622284 +1434,MN,280,42,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,35 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,37-35 26 CHINATOWN LL,4600,24157,24157,0,0,9000,0,0,0,15157,2,1,6,0,7,49,100,49,95,E,3,Y,5,1,361800,1834200,0,0,1910,1985,0, , ,5.25,3.44,6,6.5,1,1002800042,0,8,985272,199154,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,308.04242,4869.274269,1472400,16,0,1435,1434,23,5175,29.04899979,36.03766632,6.988666534,29.59269068,1.775085927,680.6318855 +1435,MN,720,38,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,419 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,419 WEST 22ND STREET,1648,4284,0,4284,0,0,0,0,0,0,2,1,4.75,4,4,16.67,98.75,17,65, ,3,N,5,2,112488,418553,2360,2360,1900,1979,0,Chelsea Historic District Extension, ,2.6,3,0,3,1,1007200038,0,93,983605,211173,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,222.0864337,1583.115945,306065,2,1,1436,1435,7,1575,9.369999886,11.84222221,2.472222328,9.723174504,0.865097605,68.06222153 +1436,MN,539,36,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,157 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,"157 BLEECKER TREVI, L",2500,6400,3900,2500,0,3900,0,0,0,0,2,1,3,2,3,25,100,25,97,E,0,N,5,5,580500,1138050,0,0,1901,0,0,South Village Historic District, ,2.56,3.44,0,6.5,1,1005390036,0,65,984329,204760,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,257.0701879,2588.360967,557550,9,0,1437,1436,11,2475,25.23555565,25.23555565,0,25.23555565,0,277.5911121 +1437,MN,831,1,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,836 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,"K.C. 836, LLC",996,4979,4979,0,2171,2808,0,0,0,0,2,1,5,0,5,24.67,40.33,24,39, ,3,N,3,2,337500,1045800,0,0,1920,2011,0, , ,5,10,10,10,1,1008310001,0,76,987082,211307,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,137.2366329,1108.07177,708300,6,0,1438,1437,6,1350,41.16799927,41.99200058,0.824001312,41.30533282,0.307087158,247.8319969 +1438,MN,619,33,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,330 BLEECKER STREET,C1-6,R6, , , , , , , , ,Y,D6,4,0,P,BLDG CHRISTOPHER LLC,11925,136785,10000,126785,0,10000,0,0,0,0,2,1,16,200,207,96,125,96,111, ,2,Y,3,2,4500000,24376500,0,0,1930,1989,0,Greenwich Village Historic District, ,11.47,3.44,2,6.5,1,1006190033,0,73,982935,206516,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,451.7822903,12508.31141,19876500,9,0,1439,1438,57,12825,20.56999969,26.11333275,5.543333054,20.83210493,1.03038158,1187.429981 +1439,MN,294,26,103,16,5006,2,1,10002,E015,7,14,7400,1,3,2B,40 CANAL STREET,C6-2, , , , , , , , , ,N,K4,4,0,P,"40 CANAL STREET, LLC",651,3650,3650,0,0,840,0,2810,0,0,2,1,5,0,5,21.42,40,21,40, ,3,Y,4,2,55350,426150,0,0,1910,1984,0, , ,5.61,6.02,6,6.5,1,1002940026,0,16,986635,199618,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,120.9928845,815.7422238,370800,13,0,1440,1439,4,900,38.53888702,39.21699905,0.67811203,39.04747105,0.293631122,156.1898842 +1440,MN,200,27,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,65 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,WING YIP REALTY CORP,2310,11534,1500,10034,0,1500,0,0,0,0,2,2,7,20,22,23.08,100.5,23,48, ,3,Y,5,2,194850,894600,0,0,1910,1987,0, , ,4.99,3.44,6,6.5,1,1002000027,0,29,984679,200201,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,253.9068282,2473.390839,699750,14,0,1441,1440,11,2475,28.79299927,29.44499969,0.652000427,28.85227203,0.187436944,317.3749924 +1441,MN,829,22,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,1161 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0, ,1165 BROADWAY CORP,8650,43000,43000,0,34400,8600,0,0,0,0,2,1,5,0,46,136,87.58,134,86, ,3,Y,3,2,4414500,9528300,0,0,1923,1985,0,Madison Square North Historic District, ,4.97,0,10,10,1,1008290022,0,58,987280,210659,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,441.4415439,9398.253165,5113800,2,0,1442,1441,44,9900,42.75111008,44.23444366,1.483333588,42.7848222,0.2210652,1882.532177 +1442,MN,872,64,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,47 IRVING PLACE,R8A, , , , , , , , , ,N,B1,1,0, ,NEW 1804 WASH CORP,1140,2880,0,2880,0,0,0,0,0,0,2,1,3,2,2,19,60,19,60, ,3,N,5,2,180537,261129,0,0,1800,0,0,East 17th Street/Irving Place Historic D, ,2.53,6,0,6,1,1008720064,0,50,987660,207358,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,170.3155075,1308.725234,80592,5,0,1443,1442,6,1350,35.47555542,35.47555542,0,35.47555542,0,212.8533325 +1443,MN,391,37,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,129 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"AVENUE C PARTNER, LLC",1580,6000,800,5200,0,800,0,0,0,0,2,1,5,8,9,20.83,75.83,20,56, ,3,N,5,2,12636,53478,0,0,1900,1988,0, , ,3.8,4,0,4,1,1003910037,0,2602,990198,203389,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,206.5976894,1728.178937,40842,12,1,1444,1443,9,2025,7.409999847,8.133333206,0.723333359,7.559135649,0.280091488,68.03222084 +1444,MN,621,31,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,105 CHARLES STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,JOSEPH JACKSON,1632,6510,0,6510,0,0,0,0,0,0,2,1,5,10,10,18,96.25,18,85.75, ,0,Y,5,2,111066,257514,0,0,1901,0,0,Greenwich Village Historic District, ,3.99,3.44,2,6.5,1,1006210031,0,73,982677,206955,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,227.5451594,1631.78329,146448,9,0,1445,1444,8,1800,21.76222229,21.76222229,0,21.76222229,0,174.0977783 +1445,MN,691,7501,104,99,1042,2,3,10011,E003,10,15,5500,1,4, ,100 11 AVENUE,C6-3,C6-2, , , , ,WCH, , , ,Y,RM,4,0, , ,12525,118137,6077,112060,0,6077,0,0,0,0,2,1,21,57,58,98.58,118.42,98,70, ,0,Y,3,5,4499998,19508857,0,7687957,2007,0,0, , ,9.43,7.52,6,10,1,1006917501,2074,99,982134,211128,8b, ,103 044,10301, ,1006910011,12/11/2009,1,1,1,17V1.1,7,475.8375044,13077.13964,15008900,7,1,1446,1445,58,13050,6.974444389,7.340000153,0.365555763,6.987423321,0.058204701,405.2705526 +1446,MN,833,42,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,308 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,"KAM HING REALTY-NYC,",2480,8908,8908,0,8908,0,0,0,0,0,2,2,4,0,5,24.67,100,25,95,E,3,N,5,2,540000,1665900,0,0,1915,1971,0, , ,3.59,10,10,10,1,1008330042,0,76,988113,211410,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,248.4894954,2363.419052,1125900,10,0,1447,1446,10,2250,41.76111221,41.76111221,0,41.76111221,0,417.6111221 +1447,MN,848,14,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,893 BROADWAY,M1-5M, , , , , , , , , ,N,H3,5,0, ,CHOLLA 893 LLC,4250,18103,4100,0,0,4100,0,0,0,0,2,1,4,0,2,27.5,107.92,51,115, ,3,Y,5,2,747000,3094650,0,0,2000,2010,0,Ladies' Mile Historic District, ,4.26,0,5,6.5,1,1008480014,0,52,986957,208480,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,403.7554155,4617.999725,2347650,7,0,1448,1447,21,4725,41.39699936,41.39699936,0,41.39699936,0,869.3369865 +1448,MN,539,18,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,84 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,A9,1,0, ,"FIREPATROL, LLC",2608,9082,0,8600,0,0,0,0,0,0,2,2,4,1,1,25,104.33,25,86, ,3,N,5,3,32846,714650,0,0,1906,0,0,South Village Historic District, ,3.48,3.44,0,6.5,1,1005390018,0,65,984500,205117,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,260.3883318,2598.445475,681804,9,0,1449,1448,12,2700,25.23555565,27.12222099,1.886665344,25.39277776,0.521446754,304.7133331 +1449,MN,697,56,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,536 WEST 26 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0,P,540 WEST 26TH STREET,19750,128193,128193,0,50680,14316,0,0,0,63197,7,1,0,0,3,200,98.75,0,0, ,3,N,5,2,1816200,5975550,0,0,0,0,0, , ,6.49,0,5,6.5,1,1006970056,0,99,982872,212620,8b, ,105S004,10301, ,1006970056,1/27/2014,1, ,1,17V1.1,0,601.4009219,20169.7439,4159350,2,1,1450,1449,90,20250,8.930000305,10.82999992,1.899999619,9.353975497,0.654578611,841.8577948 +1450,MN,766,32,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,215 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,METRE WEST REALTY LLC,2300,8855,0,8855,0,0,0,0,0,0,2,1,5,16,16,25,92,25,74, ,3,N,5,2,118800,533700,0,0,1920,1983,0, , ,3.85,4,0,4,1,1007660032,0,81,984446,209009,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,235.9399103,2238.979629,414900,7,0,1451,1450,10,2250,21.88888931,21.88888931,0,21.88888931,0,218.8888931 +1451,MN,97,24,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,225 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,D7,4,0,P,YARROW TWO LLC,3750,15400,2000,13400,0,2000,0,0,0,0,2,2,5,8,10,50.1,75.4,25,74, ,0,N,5,2,315450,1889550,0,429528,1900,2004,0,South Street Seaport Historic District, ,4.11,6.02,6,6.5,1,1000970024,0,1501,983690,196994,12b, ,101S023,10103, ,1000970024,12/22/2004,1,1,1,17V1.1,0,249.8640604,3741.785078,1574100,4,1,1452,1451,17,3825,5.993332863,5.993332863,0,5.993332863,0,101.8866587 +1452,MN,935,48,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,322 EAST 30 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,MAHER JOHN P,2074,3780,0,2835,0,0,0,0,0,0,2,1,4,2,2,21,98.75,21,45,E,3,N,5,1,68034,182476,0,0,1910,0,0, , ,1.82,3,0,3,1,1009350048,0,70,990688,209466,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,244.7671533,2137.795241,114442,10,0,1453,1452,10,2250,35.01100159,38.21110916,3.200107574,35.91282272,1.158624737,359.1282272 +1453,MN,790,59,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,140 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CHELSEA 140 LLC,2581,7375,0,7375,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,58, ,3,N,5,1,174150,841950,0,0,1920,0,0, , ,2.86,4,0,4,1,1007900059,0,81,984733,208370,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,263.1667586,2740.671959,667800,7,0,1454,1453,12,2700,27.73777771,30.45444489,2.716667175,28.32962974,1.038275258,339.9555569 +1454,MN,791,78,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,91 7 AVENUE,C6-3A,R8A, , , , , , , , ,Y,D9,3,0,P,160 ASSOCIATES,12925,62400,7000,55400,0,7000,0,0,0,0,2,1,6,68,69,77.5,150,78,150, ,2,Y,3,2,1768500,9186300,0,0,1920,1981,0, , ,4.83,7.52,6,7.5,1,1007910078,0,81,984682,208712,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,521.45749,13739.19455,7417800,7,0,1455,1454,61,13725,27.87888908,29.23666763,1.357778549,27.97892549,0.282691802,1706.714455 +1455,MN,590,5,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,265 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,ANTHONY GURRERA,1922,5760,1920,3840,0,1920,0,0,0,0,2,2,3,2,3,24,80.08,24,80, ,0,N,5,5,54333,135636,0,0,1910,2005,2005,Greenwich Village Historic District Exte, ,3,3.44,0,6.5,1,1005900005,0,67,983449,205769,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,217.6100374,2035.302802,81303,9,0,1456,1455,8,1800,17.79000092,20.98711205,3.19711113,18.18963981,1.05734512,145.5171185 +1456,MN,286,23,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1Q,255 EAST BROADWAY,R7-2, , , , , , , , , ,N,N2,8,0,P,COMMUNITY RECOVERY HO,2185,5764,5764,0,0,0,0,0,0,5764,2,1,4,0,1,23,95,23,46, ,0,N,5,5,194400,1124100,194400,1124100,1900,1994,0, , ,2.64,3.44,0,6.5,1,1002860023,0,201,988243,199479,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,242.5967711,2290.818538,929700,13,0,1457,1456,11,2475,30.16900063,32.24777985,2.078779221,30.67956647,0.843528987,337.4752312 +1457,MN,458,7501,103,36.02,2000,1,2,10003,E028,9,14,6500,3,3, ,26 EAST 2 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2836,7742,0,7742,0,0,0,0,0,0,2,1,6,5,5,20.5,69.42,0,0, ,0,Y,0,5,33247,438349,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,2.73,4,0,4,1,1004587501,2174,3602,986807,203527,12c, ,102 009,10205, ,1004580036,6/29/2010,1, , ,17V1.1,7,222.906037,2863.94129,405102,1,0,1458,1457,13,2925,37.60888672,39.81555557,2.206668854,38.24512716,0.838854787,497.1866531 +1458,MN,353,42,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,124 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,OWEN I DIRINGER,2500,4625,4625,0,0,4625,0,0,0,0,2,1,2,0,2,25,100,25,100, ,3,N,5,2,495000,769050,0,0,1905,0,0, , ,1.85,6.02,6,6.5,1,1003530042,0,18,987678,201134,12c, ,101N079,10201,E-216,0, ,1, , ,17V1.1,0,251.3377542,2503.480363,274050,13,0,1459,1458,11,2475,29.00666618,29.00666618,0,29.00666618,0,319.073328 +1459,MN,930,12,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,319 EAST 24 STREET,R8, , , , , , , , , ,N,D4,3,0,P,EAST MIDTOWN PLAZA,47394,265541,0,265541,0,0,0,0,0,0,2,2,28,236,236,245,227.5,208,175, ,1,Y,4,2,3897000,19270350,3897000,19270350,1975,0,0, , ,5.6,6.02,0,6.5,1,1009300012,0,66,990026,208289,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,987.3793418,47735.33155,15373400,11,0,1460,1459,209,47025,15.56400013,25.29111099,9.727110863,20.51387333,2.249161227,4287.399526 +1460,MN,740,12,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,343 WEST 16 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,CHELSEA VENTURA LLC,2300,8250,0,8250,0,0,0,0,0,0,2,1,6,8,8,25,92,25,55, ,0,Y,5,5,224426,1047481,0,191312,2005,0,0, , ,3.59,4,0,4,1,1007400012,0,83,983363,209609,8b, ,103 037,10303, ,1007400054,4/18/2006,1, , ,17V1.1,0,234.8280562,2200.900995,823055,7,0,1461,1460,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +1461,MN,799,40,104,91,1003,2,3,10010,E001,13,15,5200,1,4,2A,725 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S5,4,0, ,725 6TH AVE. MANAGEME,1677,6272,1628,4644,0,1628,0,0,0,0,2,1,4,6,7,24.67,68,24.67,66,E,3,N,5,2,263542,963933,0,0,1920,1986,0, , ,3.74,10,10,10,1,1007990040,0,91,986261,210138,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,188.0137147,1714.095929,700391,2,0,1462,1461,7,1575,29.37700081,29.37700081,0,29.37700081,0,205.6390057 +1462,MN,476,89,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,36 GRAND STREET,M1-5B, , , , , , , , , ,N,A4,1,0,P,22 THOMPSON STREET L,889,2412,0,2412,0,0,0,0,0,0,2,1,3,1,1,18.92,47,18.92,33,E,3,N,3,5,59247,158976,0,0,1900,0,0, , ,2.71,0,5,6.5,1,1004760089,0,47,983071,202604,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,134.8050312,945.371899,99729,0,1,1463,1462,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +1463,MN,212,45,101,33,3011,2,1,10013,L008,1,15,7700,1,1,3A,2 YORK STREET,C6-2A, , , , , ,TMU, , , ,N,H3,5,0,P,YORK STREET LLC,11875,65283,3170,0,0,3170,0,0,0,0,2,1,6,0,2,109.42,142.75,109.45,142.72, ,0,Y,3,2,4815000,17445150,0,0,2005,0,0, , ,5.5,6.02,6,6.5,1,1002120045,0,33,982701,201894,12a, ,101N041,10105, ,0, ,1,1,1,17V1.1,0,500.3599799,12375.19576,12630200,0,1,1464,1463,58,13050,9.686666489,9.91155529,0.224888802,9.693195228,0.033708553,562.2053232 +1464,MN,227,63,102,37,3017,2,1,10013,L008,1,15,6800,1,2,1B,417 CANAL STREET,M1-6, , , , , ,HSQ, , , ,N,Q9,9,0,P,TRINITY CHURCH CORP,7863,0,0,0,0,0,0,0,0,0,7,1,0,0,0,66.17,132.33,0,0, ,0,Y,3,5,869850,869850,0,0,0,0,0, , ,0,0,10,10,1,1002270063,0,37,982632,202550,12a, ,101N042,10105,E-288,0, ,1,1,1,17V1.1,0,388.0457317,8310.036013,0,0,1,1465,1464,37,8325,9.686666489,9.686666489,0,9.686666489,0,358.4066601 +1465,MN,525,7501,102,65,4000,2,3,10012,L009,6,15,5700,2,2, ,156 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0,P, ,19921,177431,27626,149805,0,27626,0,0,0,0,2,1,11.5,190,196,200.17,98.33,0,0, ,0,Y,5,5,3091500,17322750,16930,16930,1910,0,0,South Village Historic District, ,8.91,3.44,0,6.5,1,1005257501,150,65,984192,204663,12c, ,103 007,10206, ,1005250008,11/29/1984,1, , ,17V1.1,7,632.5792031,22124.26309,14231300,9,0,1466,1465,96,21600,23.62666702,27.38888931,3.76222229,23.86761145,0.831352742,2291.290699 +1466,MN,466,26,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,165 2 AVENUE,R8B,R7A, , , , , , , , ,Y,M1,8,0,X,ST MARKS PROT EPIS CH,36537,12710,12710,0,0,0,0,0,0,12710,2,1,2,0,0,104.67,198.17,65,130, ,0,Y,3,2,3177000,4646250,3177000,4646250,1900,0,0,St. Mark's Historic District,SAINT MARKS-IN-THE-BOWERY,0.35,4,0,4,1,1004660026,0,40,987828,205351,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,758.3874604,34394.77561,1469250,12,0,1467,1466,152,34200,30.72555542,37.78555679,7.060001373,34.63890435,1.590349599,5265.113461 +1467,MN,309,12,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,325 GRAND STREET,C6-2, , , , , , , , , ,N,O5,5,0, ,325 GRAND REALTY LLC,1408,7150,7150,0,1430,1430,0,4290,0,0,2,1,5,0,1,21.75,64.75,22,65,E,3,N,5,2,153900,561150,0,0,1920,1992,0, , ,5.08,6.02,6,6.5,1,1003090012,0,16,986855,200488,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,182.116051,1567.109428,407250,13,0,1468,1467,8,1800,34.44444275,39.10111237,4.656669617,35.06705427,1.528419581,280.5364342 +1468,MN,393,55,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,361 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,361 E 10 LLC,4740,22776,0,22776,0,0,0,0,0,0,2,1,6,38,38,50,94.75,50,83, ,0,N,5,2,720000,1859850,0,0,1912,0,0, , ,4.81,4,0,4,1,1003930055,0,28,990117,204016,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,297.3138837,4932.842898,1139850,12,1,1469,1468,22,4950,7.409999847,8.546666145,1.136666298,7.499343287,0.253487779,164.9855523 +1469,MN,421,43,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,172 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,172 FORSYTH STREET HS,2917,12166,1600,10566,0,1600,0,0,0,0,2,1,6,17,18,29.17,100,29,85, ,2,N,5,2,180000,590850,180000,302231,1900,1993,0, , ,4.17,4,4,4,1,1004210043,0,3601,986734,202065,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,263.0901955,3064.656365,410850,13,0,1470,1469,14,3150,41.09555435,41.61133194,0.515777588,41.52619062,0.122225182,581.3666687 +1470,MN,843,39,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,14 EAST 16 STREET,C6-2A, , , , , , , , , ,N,I5,8,0,P,"FAMILY LIFE VENTURES,",10700,29974,29974,0,0,0,0,0,0,29974,2,1,6,0,3,50.5,196,51,110, ,0,Y,5,5,1516950,6457950,0,0,1889,0,0,Ladies' Mile Historic District, ,2.8,6.02,6,6.5,1,1008430039,0,52,986470,207655,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,524.3801163,11309.307,4941000,7,0,1471,1470,51,11475,37.06999969,40.81333542,3.743335724,37.22564248,0.715429937,1898.507767 +1471,MN,798,2,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,211 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S3,4,0, ,WILLIAM GOTTLIEB,989,2764,696,2068,0,696,0,0,0,0,2,1,4,3,4,16.42,60,16.42,42, ,0,N,5,5,188739,437136,0,0,1901,0,0, , ,2.79,6,0,6,1,1007980002,0,91,985416,210133,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,160.8370509,1123.531173,248397,2,0,1472,1471,5,1125,28.16444397,28.16444397,0,28.16444397,0,140.8222198 +1472,MN,559,42,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,141 EAST 13 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"FOUNTAIN,",2500,9375,1000,8375,0,1000,0,0,0,0,2,2,5,26,27,25,100,25,49, ,3,N,5,2,213300,1256400,0,0,1900,0,0, , ,3.75,6.02,6,6.5,1,1005590042,0,42,987559,206331,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,253.2879826,2569.108914,1043100,12,0,1473,1472,12,2700,36.68999863,36.68999863,0,36.68999863,0,440.2799835 +1473,MN,426,9,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,229 BOWERY,C6-1, , , , , , , , , ,N,M9,8,0,P,BOWERY MISSION & ETAL,4650,8979,8979,0,0,0,0,0,0,8979,2,2,3,0,1,25,186,25,184, ,3,Y,5,2,422550,863550,422550,863550,1900,0,0, , ,1.93,3.44,6,6.5,1,1004260009,0,3601,986242,202336,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,429.5446598,4792.328112,441000,13,0,1474,1473,22,4950,41.51444626,41.51444626,0,41.51444626,0,913.3178177 +1474,MN,434,41,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,433 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,P V P MANAGEMENT CORP,2271,6426,1100,5326,0,1100,0,0,0,0,2,1,5,8,9,25,90.83,25,48, ,3,N,5,2,36592,135534,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,2.83,4,0,4,1,1004340041,0,32,988511,203772,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,240.0005179,2375.001361,98942,1,0,1475,1474,9,2025,18.26222229,19.34555626,1.083333969,18.55444463,0.424533135,166.9900017 +1475,MN,524,1,102,55.01,3000,2,1,10012,L009,6,15,5700,1,2,2A,501 LA GUARDIA PLACE,C1-7, , , , , , , , , ,N,D4,3,0,X,WASHINGTON SQ. APARTM,43930,212832,0,212832,0,0,0,0,0,0,2,1,30,174,174,248,166,220,146,G,2,Y,3,2,2884500,10058400,2884500,10058400,1966,1983,2004, ,UNIVERSITY VILLAGE NOW CALLED SILVE,4.84,6.02,2,6.5,1,1005240001,0,5501,984521,204192,12c, ,103 008,10206, ,0, ,1, , ,17V1.1,0,1079.426022,43470.22633,7173900,9,0,1476,1475,190,42750,26.17000008,35.19333267,9.023332596,32.48458878,1.792056227,6172.071869 +1476,MN,774,7501,104,91,2002,2,3,10001,E001,10,15,5200,2,4, ,252 7 AVENUE,C6-3X, , , , , , , , , ,N,RM,4,0, , ,49375,623668,76018,547650,0,76018,0,0,0,0,2,1,19,352,357,197.5,250,0,0, ,0,N,0,5,5727593,86985906,230738,351285,1910,0,0, , ,12.63,9,6,9,1,1007747501,1140,91,985501,210813,8d, ,105S009,10304,E-54,1007740035,9/6/2000,1, , ,17V1.1,7,915.3700265,51861.67303,81258304,2,0,1477,1476,232,52200,24.85199928,37.8833313,13.03133202,25.48159699,2.633406397,5911.730501 +1477,MN,642,62,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,820 GREENWICH STREET,R6, , , , , , , , , ,N,O5,5,0, ,69 JANE STREET COMPAN,6132,22898,22898,0,10460,3200,1976,7262,0,0,2,1,6,0,2,66.92,90.83,42.33,82,E,2,Y,3,2,531000,3055050,0,0,1910,1968,0,Greenwich Village Historic District, ,3.73,2.43,0,4.8,1,1006420062,0,79,982385,208257,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,327.8840848,6604.647993,2524050,8,1,1478,1477,35,7875,10.79777813,16.17888832,5.381110191,11.32040659,1.329861666,396.2142305 +1478,MN,601,26,102,69,1011,2,3,10014,E024,6,15,6400,1,2,1B,585 WASHINGTON STREET,M1-5, , , , , , , , , ,N,E9,6,0, ,"WASHINGTON 585,",33317,167000,167000,0,33400,0,0,0,133600,0,2,1,5,0,1,200,172.5,200,172.5, ,3,N,1,0,2520000,19086750,0,0,1999,0,0, , ,5.01,0,5,6.5,1,1006010026,0,69,981833,205248,12a, ,103 001,10208, ,1006010026,8/7/2007,1, , ,17V1.1,0,765.7380746,36101.37513,16566800,9,1,1479,1478,160,36000,12.53111076,14.29744434,1.76633358,12.78742243,0.244686829,2045.987589 +1479,MN,625,43,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,13 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0,P,"CORONA, LIVIA",500,1656,504,1152,0,504,0,0,0,0,2,1,3,1,2,20,33,21,24, ,3,Y,5,5,145265,204092,0,0,1901,2013,0,Greenwich Village Historic District, ,3.31,3.44,2,6.5,1,1006250043,0,77,982897,208045,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,101.8776618,566.6156364,58827,8,0,1480,1479,2,450,17.76333427,17.76333427,0,17.76333427,0,35.52666855 +1480,MN,621,77,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,83 CHARLES STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,BETTINA WITTEVEEN,1900,4120,0,3040,0,0,0,0,0,0,2,1,3,2,2,20,95.25,20,45,E,3,Y,5,1,43087,179572,0,0,1899,0,0,Greenwich Village Historic District, ,2.17,3.44,2,6.5,1,1006210077,0,73,983013,207021,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,238.9693435,2017.871761,136485,8,0,1481,1480,9,2025,24.81222343,25.54666519,0.734441757,25.02790154,0.276201717,225.2511139 +1481,MN,92,5,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,161 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,O4,5,0,P,"161 WILLIAM STREET, L",10586,177433,177433,0,177433,0,0,0,0,0,2,1,22,0,15,82.83,118.67,83,119, ,2,Y,3,2,5400000,17856450,0,0,1951,2009,0, , ,16.76,10,10,10,1,1000920005,0,1501,982534,198011,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,454.4489582,10854.43116,12456500,4,0,1482,1481,49,11025,34.41422272,34.5909996,0.176776886,34.58739191,0.02499482,1694.782204 +1482,MN,46,3,101,7,1006,2,1,10005,E004,1,15,7700,1,1, ,100 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,NW 100 BROADWAY PROPE,14950,364390,364390,0,333178,31212,0,0,0,0,2,1,23,0,33,123.17,125.58,123,126, ,3,Y,3,2,5805000,46137600,0,0,1922,2003,0, ,AMERICAN SURETY COMPANY BUILDING,24.37,10,15,15,1,1000460003,0,7,981167,197208,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,518.2954891,16658.25107,40332600,17,0,1483,1482,74,16650,31.52700043,36.68222427,5.155223846,32.17795233,1.519108243,2381.168472 +1483,MN,700,56,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,540 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,S2,4,0, ,KURSH 29TH STREET HOL,2419,7061,2419,4642,0,2419,0,0,0,0,2,1,3,2,3,24.5,98.75,24.5,98.75, ,3,Y,5,5,415934,628788,0,0,1910,2004,0, , ,2.92,7.52,6,10,1,1007000056,0,99,983278,213276,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,253.7605105,2525.32053,212854,6,1,1484,1483,12,2700,11.49300003,11.93277836,0.439778328,11.52964822,0.121548309,138.3557787 +1484,MN,877,30,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,44 GRAMERCY PARK NORTH,R9A, , , , , , , , , ,N,D4,3,0, ,GRAMERCY OWNERS LTD,8640,87793,3000,84793,3000,0,0,0,0,0,2,1,16,79,84,87.5,98.75,88,78, ,3,N,5,1,810000,9954900,262425,262425,1930,1983,0, , ,10.16,7.52,0,7.52,1,1008770030,0,68,988468,208182,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,371.2140971,8573.716416,9144900,5,0,1485,1484,37,8325,22.27111053,22.27111053,0,22.27111053,0,824.0310898 +1485,MN,136,7502,101,21,1001,2,1,10007,L010,1,15,7700, ,1, ,38 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,10120,65635,15470,50165,0,11850,0,3620,0,0,2,1,10,24,25,100,100,0,0, ,0,N,0,5,909004,8440537,2360,2360,1900,0,0, , ,6.49,7.52,6,7.5,1,1001367502,1007,21,981885,199655,12b, ,11S 017,10104, ,1001360003,3/24/1998,1, , ,17V1.1,7,412.2322344,10596.63196,7531530,3,0,1486,1485,46,10350,25.24200058,25.24200058,0,25.24200058,0,1161.132027 +1486,MN,553,9,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,396 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K2,5,1,P,378 SIXTH LLC,3640,10800,10800,0,0,10800,0,0,0,0,2,1,2,0,1,45.5,80,45.5,80, ,2,N,3,2,688500,6070950,0,0,1950,1982,0,Greenwich Village Historic District, ,2.97,3.44,3.4,6.5,1,1005530009,0,63,984421,206461,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,256.1565799,3796.78705,5382450,8,0,1487,1486,17,3825,17.50333405,18.61111069,1.107776642,17.66614443,0.363896033,300.3244553 +1487,MN,504,26,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,120 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SANTORINI EQUITIES IN,4800,20732,1600,19132,0,1600,0,0,0,0,2,1,6,28,30,48,100,48,84, ,3,N,5,2,301050,2328750,0,0,1919,2013,0,Sullivan-Thompson Historic District, ,4.32,3.44,0,6.5,1,1005040026,0,49,983469,203890,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,301.9920952,4909.824779,2027700,0,0,1488,1487,21,4725,17.73666573,18.87333298,1.136667252,17.79079274,0.242063356,373.6066475 +1488,MN,548,24,102,59,3000,2,1,10003,E033,6,15,5700,1,2,2A,303 MERCER STREET,R7-2, , , , , , , , , ,N,D0,3,0, ,SNUG HARBOR OWNERS IN,20000,86332,0,86332,0,0,0,0,0,0,2,2,6,63,63,100,200,100,193, ,0,N,4,2,855000,10755900,100136,100136,1900,1983,0, , ,4.32,3.44,0,6.5,1,1005480024,0,59,985905,205474,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,609.3989724,20348.01679,9900900,8,0,1489,1488,90,20250,32.49333191,34.95111084,2.457778931,32.65349134,0.542954028,2938.81422 +1489,MN,450,50,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,49 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,SILVER-SMITH ASSOCIAT,2348,8240,0,8240,0,0,0,0,0,0,2,1,4,5,5,25,93.92,25,78,E,3,N,5,5,182531,247611,0,0,1900,1980,0, , ,3.51,4,0,4,1,1004500050,0,38,987932,204665,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,228.3644266,2260.006045,65080,12,0,1490,1489,9,2025,25.4810009,25.4810009,0,25.4810009,0,229.3290081 +1490,MN,745,64,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,350 WEST 22 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"STURMAN,DEBORAH,M",2057,4640,0,3480,0,0,0,0,0,0,2,1,3,2,2,20.83,98.75,20.83,58.33,E,2,N,5,1,82786,184999,0,0,1910,2004,0,Chelsea Historic District Extension, ,2.26,3,0,3,1,1007450064,0,89,983937,210807,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,239.774414,2044.9064,102213,7,0,1491,1490,9,2025,15.97222233,17.64999962,1.67777729,16.27339469,0.536261164,146.4605522 +1491,MN,299,23,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,33 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,32 ALLEN REALTY INC.,2154,9849,2154,7695,0,2154,0,0,0,0,2,1,5,14,17,24.25,88.92,24,89,E,3,Y,5,2,216450,1042200,0,0,1900,0,0, , ,4.57,6.02,6,6.5,1,1002990023,0,16,986543,200035,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,232.8143639,2238.197999,825750,13,0,1492,1491,9,2025,40.40000153,40.40000153,0,40.40000153,0,363.6000137 +1492,MN,592,6,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,126 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,C3,2,0, ,"SPITLER, WILLIAM D",990,2520,0,2520,0,0,0,0,0,0,2,1,3,4,4,20,49.5,20,44, ,3,N,5,5,158549,265844,36450,36450,1910,0,0,Greenwich Village Historic District, ,2.55,2.43,0,4.8,1,1005920006,0,71,983799,206213,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,146.7202052,1095.149269,107295,9,0,1493,1492,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +1493,MN,353,49,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,102 NORFOLK STREET,R7A, , , , , , , , , ,N,C7,4,0, ,"102 NORFOLK STREET, L",3772,15038,1500,13538,0,1500,0,0,0,0,2,1,6,25,26,37.58,100.17,38,97, ,3,N,5,2,254700,2082600,0,0,1910,1989,2014, , ,3.99,4,0,4,1,1003530049,0,1402,987878,201130,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,281.2983981,3817.94772,1827900,13,0,1494,1493,17,3825,26.83777809,30.18444443,3.346666336,27.13004606,0.853317066,461.210783 +1494,MN,413,2,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,108 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"MAR, DAVID",3375,24000,4800,19200,0,4800,0,0,0,0,2,1,6,20,22,38.25,88.25,38,76, ,3,N,5,2,154800,867150,0,0,1900,1980,0, , ,7.11,4,4,4,1,1004130002,0,18,986529,200869,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,261.5899825,3633.713844,712350,13,0,1495,1494,15,3375,39.72000122,41.09677887,1.376777649,39.8117864,0.343428684,597.176796 +1495,MN,460,29,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,236 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,RENAISSANCE 236 E. 5T,6059,25002,0,25002,0,0,0,0,0,0,2,1,6,30,30,63,96.17,63,78, ,3,N,5,2,886500,3440700,0,0,1932,1989,0,East Village/Lower East Side Historic Di, ,4.13,4,0,4,1,1004600029,0,38,987089,204098,12c, ,102 009,10205, ,0, ,1, , 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,17V1.1,0,219.7721118,2027.427917,163632,16,0,1498,1497,9,2025,17.07600021,21.63111115,4.555110931,17.95325936,1.469996418,161.5793343 +1498,MN,610,7502,102,71,4004,2,3,10014,Q018,6,15,6100,2,2, ,142 WEST 10 STREET,R6, , , , , , , , , ,N,RM,4,0, , ,2404,6416,1950,4466,0,0,0,0,0,1950,2,1,4,4,5,25,96.17,25,92, ,0,N,0,5,43783,556330,0,0,1910,0,0,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1006107502,1444,71,984036,206828,12c, ,103 017,10209, ,1006100047,8/2/2005,1, , ,17V1.1,7,246.4507638,2442.259158,512547,8,0,1499,1498,12,2700,18.18777847,21.65888786,3.47110939,18.47703759,0.959363954,221.7244511 +1499,MN,585,23,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,18 GROVE STREET,R6, , , , , , , , , ,N,A5,1,0, ,GROVE BEDFORD LLC,1368,3840,0,2880,0,0,0,0,0,0,2,1,3,1,1,20.25,67.58,20,44, ,2,N,3,1,130187,424169,0,0,1910,1987,2015,Greenwich Village Historic District, ,2.81,2.43,0,4.8,1,1005850023,0,73,982732,206065,12a, ,103 004,10208, ,0, ,1, , 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,17V1.1,0,278.2758678,4427.8879,1677600,9,0,1502,1501,21,4725,27.39777756,29.75777817,2.36000061,27.51015854,0.502583028,577.7133293 +1502,MN,764,32,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,209 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D7,4,0, ,211 WEST 14TH PROPERT,6000,36707,748,35959,0,464,0,0,0,0,2,1,11,21,23,50,120,50,84, ,3,N,5,0,846000,1594072,0,0,2015,0,0, , ,6.12,6.02,6,6.5,1,1007640032,0,81,984235,208530,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,357.2094038,6375.466277,748072,7,0,1503,1502,29,6525,24.42199898,26.98888969,2.566890717,24.73318698,0.715660497,717.2624226 +1503,MN,349,27,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,63 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,CLINTON REALTY ASSOCI,2500,9155,1200,7955,0,1200,0,0,0,0,2,1,6,22,24,25,100,25,84, ,3,N,5,2,225000,723150,0,0,1920,1986,0, , ,3.66,4,0,4,1,1003490027,0,3001,988370,201413,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,253.2532825,2508.435307,498150,1,0,1504,1503,12,2700,24.4422226,27.87999916,3.437776566,24.95546325,1.156927064,299.465559 +1504,MN,531,43,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,348 BOWERY,M1-5B, , , , , , , , , ,N,G2,10,0, ,348 FEE OWNER LLC,1557,733,733,0,0,0,733,0,0,0,2,1,1,0,1,26.25,65.5,25,24, ,3,Y,3,0,324000,455400,0,0,1954,0,0, , ,0.47,0,5,6.5,1,1005310043,0,5502,986460,204012,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,188.4346533,1807.733385,131400,9,0,1505,1504,8,1800,41.26444626,43.82777786,2.563331604,42.2763896,1.043140101,338.2111168 +1505,MN,746,11,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,349 WEST 22 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,PJ 827 LLC,2222,4268,0,3102,0,0,0,0,0,0,2,1,3,3,3,22.5,98.75,22.5,44,E,3,N,5,1,56164,153860,0,0,1901,0,0,Chelsea Historic District Extension, ,1.92,3,0,3,1,1007460011,0,93,984013,210944,8d, ,105S007,10303, ,0, ,1, , 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,17V1.1,0,296.1902559,3174.459947,2396700,12,0,1510,1509,14,3150,34.15777969,37.82777786,3.669998169,34.67936679,1.277642196,485.5111351 +1510,MN,910,44,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,234 EAST 30 STREET,R7B, , , , , , , , , ,N,C5,2,0,P,"KENT, DODIE C",1778,3225,0,3225,0,0,0,0,0,0,2,1,3,8,8,18,98.75,18,44, ,3,N,5,1,36589,219024,0,0,1900,0,0, , ,1.81,3,0,3,1,1009100044,0,70,990146,209767,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,237.8777644,1898.962614,182435,10,0,1511,1510,8,1800,34.37666702,37.15444565,2.777778625,35.40222263,1.32414352,283.2177811 +1511,MN,195,24,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3A,90 WHITE STREET,C6-2A, , , , , , , , , ,N,L9,6,0, ,90 WHITE ST CORP,4341,10500,10500,0,3800,0,0,6700,0,0,2,1,3,0,8,46.25,103.33,46,88,E,3,Y,5,2,243900,745200,0,0,1915,1986,0, , ,2.42,6.02,6,6.5,1,1001950024,0,31,983765,200725,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,306.2449374,4462.234679,501300,14,0,1512,1511,21,4725,13.85000038,13.85000038,0,13.85000038,0,290.850008 +1512,MN,15,7501,101,13,2005,2,1,10004,E010,1,15,7700,1,1, ,17 BATTERY PLACE,C5-5, , , , , ,LM, , , ,N,RM,4,0,P,17 BATTERY PLACE COND,64633,1202417,756035,446382,756035,0,0,0,0,0,2,2,31,500,623,180.67,363.96,0,0, ,0,Y,0,5,15867000,105990300,2640126,8665864,1902,1998,0, ,THE WHITEHALL BUILDING,18.6,10,15,15,1,1000157501,1025,13,979859,196346,12b, ,11S 003,10101, ,1000150001,12/29/1998,1,1,1,17V1.1,7,1098.925676,67538.23988,90123296,15,1,1513,1512,300,67500,7.869999886,8.628444672,0.758444786,7.872699146,0.043805929,2361.809744 +1513,MN,350,51,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,299 EAST HOUSTON STREET,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,2-4 CLINTON REALTY IN,2844,13318,2500,10818,0,2500,0,0,0,0,2,1,6,15,16,36,70,36,70,E,3,Y,3,2,846000,1743300,0,0,1920,1998,2014, , ,4.68,6,0,6,1,1003500051,0,2201,988733,202022,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,259.2990228,3139.854188,897300,1,0,1514,1513,14,3150,19.81333351,21.99333382,2.180000305,20.24761922,0.837414957,283.4666691 +1514,MN,452,44,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,225 EAST 10 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,"LINDA KIRK, TRUSTEE",4738,14265,0,14265,0,0,0,0,0,0,2,1,5,39,39,50,94.75,50,65, ,3,N,5,2,531000,2487150,0,0,1920,0,0, , ,3.01,4,0,4,1,1004520044,0,40,988313,205016,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,300.5133962,5005.788116,1956150,12,0,1515,1514,23,5175,22.86222267,26.74333382,3.881111145,23.35975871,0.963008028,537.2744503 +1515,MN,502,20,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,156 PRINCE STREET,M1-5A,R7-2, , , , , , , , ,Y,D9,3,0, ,156 PRINCE STREET LLC,4320,15000,1080,13920,0,1080,0,0,0,0,2,1,6,20,22,42.67,101.25,43,59, ,3,N,5,2,273150,3550050,0,0,1900,0,2012,Sullivan-Thompson Historic District, ,3.47,0,5,6.5,1,1005020020,0,49,983872,203692,12a, ,101N071,10206, ,0, ,1, , 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,17V1.1,0,192.1058715,1771.792726,376650,1,1,1518,1517,8,1800,9.704999924,12.91666698,3.211667061,10.75395834,1.387396216,86.03166676 +1518,MN,439,5,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,190 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,DONZELLI RLTY CP,2500,6750,1350,5400,0,1350,0,0,0,0,2,1,5,8,10,25,100,25,50, ,3,N,5,2,24477,237183,0,0,1900,1983,0, , ,2.7,4,0,4,1,1004390005,0,34,988840,205089,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,260.1517652,2539.817625,212706,12,0,1519,1518,11,2475,21.74699974,23.39111137,1.644111633,22.22827287,0.53228312,244.5110016 +1519,MN,443,60,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,36 EAST 1 STREET,R8B, , , , , , , , , ,N,N2,8,0, ,D J R MANAGEMENT CORP,1272,5110,1022,4088,0,1022,0,0,0,0,2,1,5,4,5,24.25,56,24,44, ,3,Y,5,2,103050,396450,0,0,1910,1969,0, , ,4.02,4,0,4,1,1004430060,0,3602,986990,203104,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,158.3338159,1315.88701,293400,1,0,1520,1519,7,1575,38.60800171,38.79999924,0.191997528,38.64539773,0.067551369,270.5177841 +1520,MN,7,27,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,30 WATER STREET,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,PH WATER STREET LLC,1019,3632,3632,0,0,3632,0,0,0,0,2,1,4.5,0,2,18.92,52.83,19,53, ,3,Y,5,2,229500,598950,0,0,1900,0,0,Fraunces Tavern Block Historic District, ,3.56,10,15,15,1,1000070027,0,9,981194,195504,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,163.9627293,1196.353509,369450,17,1,1521,1520,5,1125,6.517333508,7.424444199,0.907110691,6.893533325,0.345154323,34.46766663 +1521,MN,506,49,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,19 VANDAM STREET,R6, , , , , , , , , ,N,C0,2,0,P,"LOVETT, JOSEPH F",2077,3560,0,3560,0,0,0,0,0,0,2,1,3,3,3,28.75,100.08,29,47, ,3,N,5,4,58122,227357,0,0,1900,2004,0,Charlton-King-Vandam Historic District, ,1.71,2.43,0,4.8,1,1005060049,0,37,982992,203979,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,259.7417182,2820.189907,169235,0,0,1522,1521,14,3150,20.62700081,26.70888901,6.081888199,23.26054001,2.672518103,325.6475601 +1522,MN,42,22,101,7,1004,2,1,10005,E004,1,15,7700,1,1,1B,10 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,D8,3,0, ,LIBERTY STREET REALTY,18892,431000,46198,384802,0,2198,44000,0,0,0,2,1,45,287,289,151.58,136.08,151,136, ,3,Y,3,2,6750000,37044900,3999960,34294860,2002,0,0, , ,22.81,10,15,15,1,1000420022,0,7,981978,196988,12b, ,101S006,10101, ,0, ,1, ,1,17V1.1,0,589.7577166,19817.44278,30294900,4,1,1523,1522,90,20250,9.048000336,25.55666542,16.50866508,16.49355822,4.596195204,1484.420239 +1523,MN,861,69,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,12 EAST 32 STREET,C5-2, , , , , , , , , ,N,L8,6,0,P,HOLE IN ONE ASSOCIATE,2158,18418,18418,0,0,2301,0,16117,0,0,2,1,8,0,10,22,98.75,22,94,E,3,N,5,2,450000,1509750,0,0,1912,1989,0, , ,8.53,10,10,10,1,1008610069,0,74,988473,211284,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,259.9848156,2459.95895,1059750,10,0,1524,1523,10,2250,38.80799866,41.89110947,3.083110809,39.11630974,0.924933243,391.1630974 +1524,MN,914,27,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,605 2 AVENUE,C1-8A, , , , , ,TA, , , ,N,S5,4,0, ,203 E 94 STREET REALT,1469,3604,1200,2404,0,1200,0,0,0,0,2,1,4,6,7,19.58,75,20,73,E,3,N,5,2,206305,544289,0,0,1910,1962,0, , ,2.45,7.52,2,7.5,1,1009140027,0,70,990751,210471,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,195.9400972,1580.834701,337984,10,0,1525,1524,7,1575,17.92555618,17.92555618,0,17.92555618,0,125.4788933 +1525,MN,939,25,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,341 EAST 33 STREET,R8A, , , , , , , , , ,N,C4,2,1,P,33RD STREET ACQUISITI,1975,3980,0,3980,0,0,0,0,0,0,2,1,4,7,7,20,98.75,20,48, ,3,N,5,2,57021,243962,0,0,1901,0,0, , ,2.02,6,0,6,1,1009390025,0,70,991286,210198,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,243.5787263,2138.38461,186941,10,1,1526,1525,10,2250,10.03999996,11.98777771,1.947777748,11.15855551,0.772061872,111.5855551 +1526,MN,779,44,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,358 7 AVENUE,M1-6, , , , , , , , , ,N,K9,5,0, ,CORNER REALTY 30/7 IN,1425,3990,3990,0,0,1400,0,2590,0,0,2,1,4,0,4,19,75,19,75,E,3,N,5,2,195750,1120950,0,0,1920,0,0, , ,2.8,0,10,10,1,1007790044,0,95,986232,211952,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,199.4577725,1612.399831,925200,6,0,1527,1526,7,1575,31.05999947,31.05999947,0,31.05999947,0,217.4199963 +1527,MN,124,4,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,11 PARK PLACE,C6-4, , , , , ,LM, , , ,N,O6,5,0,P,11 PARK PLACE,12233,205000,205000,0,195200,9800,0,0,0,0,2,1,18,0,64,86.5,151.83,87,152, ,3,Y,4,2,1939500,14835150,0,0,1927,2004,2004, , ,16.76,10,10,10,1,1001240004,0,21,981969,199101,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,494.2581328,12914.00849,12895700,3,0,1528,1527,57,12825,33.17499924,34.94666672,1.77166748,33.26289408,0.345559527,1895.984962 +1528,MN,415,65,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,143 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"GISELLE ENTERPRISES,",1354,5715,1026,4689,0,1026,0,0,0,0,2,1,5,7,8,27,50.17,27,40, ,3,N,5,2,159652,784890,0,0,1910,2015,0, , ,4.22,4,4,4,1,1004150065,0,18,987190,201640,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,163.6600907,1497.264462,625238,13,0,1529,1528,7,1575,35.49499893,37.40999985,1.915000916,35.76857049,0.670110729,250.3799934 +1529,MN,695,1,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,182 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,HH,5,0,P,NICK & DUKE,4937,22248,7700,0,0,7700,0,0,0,0,2,1,4,0,3,49.37,100,49.33,96, ,0,N,3,5,1012500,2594250,0,0,1900,2007,0, , ,4.51,7.52,6,10,1,1006950001,0,99,982429,212132,8b, ,105S003,10301,E-92,1006950004,6/8/2007,1,1,1,17V1.1,0,304.5438933,5167.090405,1581750,2,1,1530,1529,25,5625,7.920000076,8.088889122,0.168889046,7.93262228,0.037705641,198.315557 +1530,MN,450,14,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,318 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,MAGAL PROPERTIES LLC,2348,10260,1950,8310,0,1950,0,0,0,0,2,1,6,16,18,25,93.92,25,78, ,3,N,5,2,180900,873900,0,0,1910,0,0, , ,4.37,4,0,4,1,1004500014,0,38,987978,204748,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.0172434,2535.830059,693000,12,0,1531,1530,11,2475,25.4810009,30.05555534,4.574554443,25.89686949,1.315091938,284.8655643 +1531,MN,591,15,102,73,4005,2,3,10014,E024,6,15,6400,1,2,2B,91 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K4,4,0, ,ZOHAR BEN-DOV,3354,5354,3354,2000,0,3354,0,0,0,0,2,1,3,2,4,67.83,89,25,55, ,3,Y,4,2,540000,1974150,0,0,1900,0,0,Greenwich Village Historic District, ,1.6,3.44,3.4,6.5,1,1005910015,0,73,983418,206272,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,354.9167494,3674.571758,1434150,9,0,1532,1531,17,3825,22.84600067,23.8777771,1.031776428,22.91547775,0.243117392,389.5631218 +1532,MN,412,73,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,118 STANTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,YIN FA REALTY CORP.,1760,8800,2000,6800,0,2000,0,0,0,0,2,2,5,11,12,22,80,22,78, ,2,N,3,2,74700,687600,0,0,1900,1983,0, , ,5,4,4,4,1,1004120073,0,3001,987845,202027,12c, ,102 003,10204, ,1004120073,5/8/2007,1, , ,17V1.1,0,214.0797586,1995.127859,612900,1,0,1533,1532,8,1800,30.69199944,30.83155441,0.139554977,30.70944381,0.046153471,245.6755505 +1533,MN,911,56,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,214 EAST 31 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"YVONNE W. LUI, AS TRU",1975,2445,0,2445,0,0,0,0,0,0,2,1,3,4,4,20,98.75,20,38, ,3,N,5,5,193655,325189,0,0,1900,0,0, , ,1.24,3,0,3,1,1009110056,0,70,990100,210087,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,244.4825706,2006.744738,131534,10,0,1534,1533,8,1800,29.22888947,29.22888947,0,29.22888947,0,233.8311157 +1534,MN,617,30,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,98 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S4,4,0, ,S. SAETINE & MEYTOH I,1620,3864,475,3389,0,475,0,0,0,0,2,1,3,4,5,20.83,83,21,48, ,3,Y,5,5,201292,417605,0,0,1910,1988,0,Greenwich Village Historic District, ,2.39,3.44,2,6.5,1,1006170030,0,77,983777,208171,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,207.217832,1780.908645,216313,8,0,1535,1534,8,1800,23.28222275,23.28222275,0,23.28222275,0,186.257782 +1535,MN,890,20,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,132 EAST 35 STREET,C1-9,R10, , , , , , , , ,Y,D4,3,0, ,132 EAST 35TH ST OWNE,15089,205000,27350,177650,0,6100,21250,0,0,0,2,1,18,187,189,78.5,197.5,56,166, ,3,Y,3,2,3114000,15511500,276323,276323,1969,0,0, , ,13.59,10,2,10,1,1008900020,0,72,989876,211383,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,593.4647455,16576.56532,12397500,10,0,1536,1535,72,16200,45.66777802,57.40999985,11.74222183,54.20964321,1.743775191,3903.094311 +1536,MN,712,38,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,404 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0, ,G.D.C.L. HOLDINGS LLC,4450,122962,122962,0,122962,0,0,0,0,0,7,1,0,0,1,50,88.83,0,0, ,0,N,5,2,334800,442800,0,0,0,0,0, , ,27.63,0,5,6.5,1,1007120038,0,83,982692,209509,8b, ,103 040,10302,E-350,0, ,1, , ,17V1.1,0,292.9649181,4814.58964,108000,7,0,1537,1536,22,4950,12.4989996,15.24100018,2.74200058,12.77258045,0.776615761,280.9967699 +1537,MN,11,29,101,9,1003,2,1,10004,L015,1,15,7700,1,1, ,11 STONE STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0, ,"PREMIER EMERALD, LLC",3807,59410,0,0,0,0,0,0,0,0,2,1,27,0,0,44.17,83.17,44.25,82.97, ,3,Y,5,2,1228500,1678500,0,0,2016,2015,0, , ,15.61,10,15,15,1,1000110029,0,9,980857,195836,12b, ,101S001,10101, ,0, ,1, ,1,17V1.1,0,254.7200244,3630.355448,450000,17,1,1538,1537,15,3375,10.89099979,10.89099979,0,10.89099979,0,163.3649969 +1538,MN,905,51,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,212 EAST 25 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"208-214 E. 25TH ST,LL",2634,10110,0,10110,0,0,0,0,0,0,2,1,5,20,20,26.33,98.75,27,88, ,3,N,5,2,77850,2182950,0,0,1920,1986,0, , ,3.84,4,0,4,1,1009050051,0,66,989369,208726,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,253.1622294,2681.941606,2105100,11,0,1539,1538,11,2475,26.78800011,30.00444412,3.216444016,27.16652541,0.937446189,298.8317795 +1539,MN,175,16,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3A,279 CHURCH STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,"ZCAM, LLC",1869,8971,7176,1795,3588,3588,0,0,0,0,2,1,5,3,7,25.08,75,25,70,E,3,N,5,2,193500,827100,0,0,1910,1988,0,Tribeca East Historic District, ,4.8,6.02,6,6.5,1,1001750016,0,33,982942,201080,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,214.380859,2158.727298,633600,14,0,1540,1539,10,2250,17.40222168,19.08555603,1.683334351,17.66733303,0.553838492,176.6733303 +1540,MN,233,8,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,133 GRAND STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,21 CROSBY STREET LLC,2010,7950,3500,4450,0,2000,0,1500,0,0,2,1,4,3,7,25,80.08,25,80, ,3,Y,3,2,87767,532630,0,0,1920,0,0,SoHo-Cast Iron Historic District Extensi, ,3.96,0,5,6.5,1,1002330008,0,45,984276,201671,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,221.1366724,2254.318945,444863,0,0,1541,1540,9,2025,17.40800095,22.46666718,5.058666229,18.86987729,2.087795296,169.8288956 +1541,MN,471,30,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,166 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C6,2,0,P,166-168-170 MULBERRY,2404,6045,315,5730,0,315,0,0,0,0,2,1,5,9,10,24,100.17,24,51, ,3,N,5,0,34417,226055,34417,135049,1900,2013,2013, , ,2.51,6.02,6,6.5,1,1004710030,0,41,985114,201481,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,255.2836466,2567.423808,191638,0,0,1542,1541,12,2700,27.46699905,29.52999878,2.062999725,29.10496235,0.733121496,349.2595482 +1542,MN,741,36,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,155 8 AVENUE,C1-6A, , , , , , , , , ,N,K2,5,0, ,FATHER REALTY CORP.,1463,4555,4555,0,0,4555,0,0,0,0,2,1,3,0,3,19.5,75,19.5,75,E,3,N,5,0,315000,1091700,0,0,1910,0,0, , ,3.11,4,2,4,1,1007410036,0,83,983942,209673,8b,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,198.1003382,1612.660659,776700,7,0,1543,1542,8,1800,19.42666817,19.42666817,0,19.42666817,0,155.4133453 +1543,MN,401,29,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,538 EAST 6 STREET,R7B, , , , , , , , , ,N,D1,3,0,P,BRIDGE REVITALIZATION,2232,11447,0,11447,0,0,0,0,0,0,2,1,6,18,18,23,97.67,23,84, ,0,Y,5,5,153000,739800,153000,739800,1900,0,0, , ,5.13,3,0,3,1,1004010029,0,32,989155,203241,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,250.5586821,2616.912889,586800,1,0,1544,1543,11,2475,14.20666695,14.77200031,0.565333366,14.25806089,0.162521916,156.8386698 +1544,MN,304,33,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,79 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"ENG, JOHN S",2123,9000,1800,7200,0,1800,0,0,0,0,2,1,5,16,18,25,85,25,72, ,3,Y,5,2,144000,624150,0,0,1910,0,0, , ,4.24,3.44,6,6.5,1,1003040033,0,16,985754,200624,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,226.2313134,2201.929074,480150,0,0,1545,1544,10,2250,35.82133484,35.92399979,0.102664948,35.91373329,0.030799484,359.1373329 +1545,MN,397,35,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,8 AVENUE B,R8A,R7A, , ,C1-5,C2-5, , , , ,Y,D7,4,0,P,LOWER EAST SIDE ETC,5380,23314,2500,20814,0,2500,0,0,0,0,2,2,5,18,19,67.25,80,67.25,68, ,0,N,5,5,135000,478800,0,308124,1900,0,0, , ,4.33,6,0,6,1,1003970035,0,3002,988728,202266,12c, ,102 012,10203, ,1003970035,1/6/1994,1, , ,17V1.1,0,293.5388329,5349.273144,343800,1,0,1546,1545,24,5400,19.55999947,19.55999947,0,19.55999947,0,469.4399872 +1546,MN,107,1,101,15.01,3003,2,1,10038,E006,1,15,7700,1,1, ,160 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L9,6,0, ,40 DOVER LLC,1640,6560,1500,5060,0,1500,0,0,0,0,2,1,4,3,4,23.17,69.5,23,67, ,3,Y,3,2,108450,896400,0,0,1920,1985,0,South Street Seaport Historic District, ,4,6.02,6,6.5,1,1001070001,0,1501,984158,197216,12d, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,190.5412637,1776.603525,787950,4,1,1547,1546,7,1575,5.993332863,5.993332863,0,5.993332863,0,41.95333004 +1547,MN,498,5,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,565 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,PRINCE TOWER TENANTS,5100,51180,5000,46180,0,5000,0,0,0,0,2,1,9,10,12,51,100,50,99, ,2,N,3,2,410850,5476050,0,0,1900,1983,2004,SoHo-Cast Iron Historic District, ,10.04,0,5,6.5,1,1004980005,0,49,984764,203143,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,319.9433075,5803.717983,5065200,0,0,1548,1547,26,5850,29.75499916,37.46111298,7.706113815,31.21166611,2.783564504,811.5033188 +1548,MN,625,66,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,291 WEST 12 STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,FEINBLATT JOHN,1365,4200,0,4200,0,0,0,0,0,0,2,1,4,2,2,21,65,21,50, ,3,N,5,2,50661,217976,0,0,1901,1982,0,Greenwich Village Historic District, ,3.08,3.44,2,6.5,1,1006250066,0,77,983066,208046,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,176.3719899,1452.68719,167315,8,0,1549,1548,10,2250,20.9066658,22.46999931,1.563333511,21.16229916,0.526932312,211.6229916 +1549,MN,479,19,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,18 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S3,4,0,P,BEATRICE APARO,1357,3808,1000,2808,0,1000,0,0,0,0,2,1,4,3,4,23.83,71,24,40,E,3,Y,5,2,95307,294266,0,0,1905,0,0, , ,2.81,6.02,6,6.5,1,1004790019,0,41,985627,202053,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,183.9656988,1603.774442,198959,0,0,1550,1549,7,1575,38.05444717,39.19933319,1.144886017,38.21800232,0.400626651,267.5260162 +1550,MN,849,22,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,27 EAST 20 STREET,M1-5M, , , , , , , , , ,N,K4,4,0,P,SILVERSHORE PROPERTIE,1702,3751,2000,1751,0,2000,0,0,0,0,2,1,3.5,3,5,23,74,23,72,E,3,N,5,1,258750,421650,0,0,1925,1984,0,Ladies' Mile Historic District, ,2.2,0,5,6.5,1,1008490022,0,52,987284,208541,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,202.2561158,1805.188811,162900,7,0,1551,1550,10,2250,34.69888687,34.69888687,0,34.69888687,0,346.9888687 +1551,MN,406,59,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,511 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,MENSIL REALTY,2581,9625,1000,8625,0,1000,0,0,0,0,2,2,5,18,19,25,103.25,25,50, ,0,N,5,2,135000,1118250,0,0,1900,0,0, , ,3.73,4,0,4,1,1004060059,0,34,989638,204877,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.3487761,2695.714267,983250,12,0,1552,1551,12,2700,13.0880003,15.37666607,2.288665771,13.84142598,0.914277543,166.0971117 +1552,MN,237,11,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,146 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,"146 MULBERRY STREET,",3572,12425,2800,9625,0,2800,0,0,0,0,2,1,6,15,16,36,100,36.08,95,E,3,Y,5,2,243000,1533150,0,0,1900,2005,0, , ,3.48,6.02,6,6.5,1,1002370011,0,41,985012,201182,12c, ,101N048,10105, ,1002370011,12/13/2004,1, , ,17V1.1,0,314.6101476,3381.300826,1290150,0,0,1553,1552,15,3375,26.23111153,30.73800087,4.506889343,27.14336332,1.613492776,407.1504498 +1553,MN,927,18,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,329 EAST 21 STREET,R8B, , , , , , , , , ,N,G1,10,0, ,LIN DAN GARAGE CORP,7500,36700,36700,0,0,0,36700,0,0,0,2,1,5,0,1,75,100,75,100, ,3,N,5,2,945000,2601900,0,0,1930,0,0, , ,4.89,4,0,4,1,1009270018,0,64,989747,207473,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,358.3854251,7810.013371,1656900,5,0,1554,1553,34,7650,12.9244442,13.15644455,0.232000351,12.93126774,0.039198251,439.6631031 +1554,MN,651,5,102,75,1002,2,3,10014,L005,6,15,6400,1,2,2K, PIER 49,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,290225,92760,92760,0,0,0,92760,0,0,0,2,1,1,0,0,374.75,742,125,742.08, ,0,Y,2,5,4288950,6623100,4288950,6623100,1900,0,0, , ,0.32,0,2,0,1,1006510005,0,75,0,0,12a, ,103 048,10210, ,0, ,1,1,1,17V1.1,0,749.6024954,1532.739203,2334150,9,1,1555,1554,3,675,6.953333378,7.026666641,0.073333263,7,0.033110334,21 +1555,MN,622,23,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,386 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,MICHAEL MURPHY,960,2860,944,1916,0,944,0,0,0,0,2,1,3,2,3,19,50,19,50, ,3,N,3,5,32246,100227,0,0,1901,0,0,Greenwich Village Historic District, ,2.98,3.44,2,6.5,1,1006220023,0,73,982827,207192,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,145.2123842,1076.822326,67981,8,0,1556,1555,5,1125,22.42000008,23.11488914,0.694889069,22.55897789,0.277955627,112.7948895 +1556,MN,282,32,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,89 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0,P,GREAT WORLD ENTR INC,2250,9218,9218,0,0,1550,0,7668,0,0,2,1,5,0,5,25,90,25,82,E,2,N,5,2,208350,568350,0,0,1910,1982,0, , ,4.1,3.44,6,6.5,1,1002820032,0,8,985996,199236,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,242.4463795,2481.822219,360000,16,0,1557,1556,10,2250,34.88000107,35.90599823,1.025997162,34.98260078,0.307799149,349.8260078 +1557,MN,507,22,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,73 EAST HOUSTON STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,HORNBURG REALTY CORP,1768,4657,1550,3107,0,1550,0,0,0,0,2,1,3.5,4,6,68,30,65,23, ,3,Y,3,5,59098,177234,0,0,1900,0,0, , ,2.63,6.02,6,6.5,1,1005070022,0,43,986093,203111,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,192.8682021,1927.963956,118136,9,0,1558,1557,10,2250,44.71333313,47.18111038,2.467777252,45.63177795,0.949668147,456.3177795 +1558,MN,936,7501,106,70,5000,2,2,10016,L007,17,14,5800,2,6, ,333 EAST 30 STREET,R8, , , ,C2-5, , , , , ,N,RM,4,0,P,THE KIPS BAY TOWERS C,328454,869426,3006,866420,3006,0,0,0,0,0,2,3,21,1118,1120,672.83,611.25,0,0, ,0,Y,5,5,19348806,91603780,1670403,3108853,1962,0,0, , ,2.65,6.02,0,6.5,1,1009367501,40,70,990982,209853,8d, ,104 023,10309, ,0, ,1, ,1,17V1.1,7,2807.573931,324688.4325,72255000,10,1,1559,1558,1444,324900,10.53555584,37.72222137,27.18666554,25.45747917,4.155489077,36760.59992 +1559,MN,315,40,103,14.01,2002,1,1,10002,E015,7,14,7400,1,3,1B,226 EAST BROADWAY,R8, , , , , , , , , ,N,Q1,9,0, ,222 EAST BROADWAY PRO,6675,0,0,0,0,0,0,0,0,0,7,1,0,0,0,63.42,110.75,0,0, ,0,Y,5,5,688050,688050,0,0,0,0,0, , ,0,6.02,0,6.5,1,1003150040,0,1401,987877,199619,12d, ,101N085,10107, ,0, ,1, , ,17V1.1,0,346.2031674,6943.569416,0,13,0,1560,1559,28,6300,32.78777695,35.26555634,2.477779388,33.7581031,0.63883265,945.2268867 +1560,MN,573,69,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,49 WEST 9 STREET,R6, , , , , , , , , ,N,C6,2,0, ,49 W 9TH STREET CORP.,2614,14080,0,14080,0,0,0,0,0,0,2,1,5,7,7,28.33,92.25,28,84,E,3,N,5,2,120388,1231500,2360,2360,1970,1988,0,Greenwich Village Historic District, ,5.39,2.43,0,4.8,1,1005730069,0,63,984846,206655,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,246.4985069,2749.842444,1111110,8,0,1561,1560,14,3150,18.98099899,18.98099899,0,18.98099899,0,265.7339859 +1561,MN,924,17,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,325 EAST 18 STREET,R7B, , , , , , , , , ,N,A4,1,0,P,MORRIS STEVLAND,1840,3645,0,3645,0,0,0,0,0,0,2,1,3,1,1,20,92,20,50,E,3,N,5,1,65809,165888,0,0,1901,0,0, , ,1.98,3,0,3,1,1009240017,0,48,989270,206896,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.9397346,1834.94912,100079,5,0,1562,1561,8,1800,14.83555603,17.13333321,2.297777176,15.62805581,1.026229145,125.0244465 +1562,MN,610,44,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,148 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,"SCHAPIRO, JOEL",2404,9320,0,9320,0,0,0,0,0,0,2,1,5,20,20,25,96.17,25,78, ,3,N,5,2,142200,1121400,0,0,1910,0,0,Greenwich Village Historic District, ,3.88,2.43,0,4.8,1,1006100044,0,71,983962,206814,12c,Y,103 017,10209, ,0, ,1, , ,17V1.1,0,248.6150427,2518.822119,979200,8,0,1563,1562,11,2475,18.18777847,21.75,3.562221527,18.95985915,1.317586888,208.5584507 +1563,MN,552,71,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,85 WEST WASHINGTON PLCE,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,H.S.W. L. PROPERTIES,2144,5225,1650,3575,0,1650,0,0,0,0,2,1,4,6,7,22,97.17,22,92, ,3,N,5,2,207625,474375,0,0,1900,0,0,Greenwich Village Historic District, ,2.44,3.44,0,6.5,1,1005520071,0,65,984266,206067,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,239.1871565,2177.161869,266750,9,0,1564,1563,9,2025,17.50333405,17.50333405,0,17.50333405,0,157.5300064 +1564,MN,921,19,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,333 EAST 14 STREET,C1-6A, , , , , , , , , ,N,D4,3,0, ,STUYVESANT OWNERS INC,15487,197904,22368,175536,705,8931,11481,1251,0,0,2,1,17,207,210,150,103.25,150,97, ,3,N,5,2,1984500,19084950,249362,249362,1965,1989,2010, , ,12.78,4,2,4,1,1009210019,0,48,988910,205935,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,514.0027732,16052.1292,17100500,12,0,1565,1564,72,16200,21.21777725,22.90500069,1.687223434,22.769908,0.440825954,1639.433376 +1565,MN,531,48,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,46 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,46 GREAT JONES STREET,2320,15160,0,15160,0,0,0,0,0,0,2,1,7,6,6,23.25,90,23,90, ,3,Y,5,2,135637,508258,4720,4720,1900,1983,0,NoHo Historic District Extension, ,6.53,0,5,6.5,1,1005310048,0,5502,986355,204120,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,230.718757,2103.076801,372621,9,0,1566,1565,10,2250,41.26444626,41.26444626,0,41.26444626,0,412.6444626 +1566,MN,584,57,102,67,4001,2,3,10014,E024,6,15,6400,1,2,2B,39 COMMERCE STREET,R6, , , , , , , , , ,N,B1,1,0, ,KEEN DORIS B,925,1532,0,1532,0,0,0,0,0,0,2,1,3,2,2,25,36.58,25,24, ,2,Y,3,2,23216,99532,3380,3380,1901,0,0,Greenwich Village Historic District, ,1.66,2.43,0,4.8,1,1005840057,0,67,982731,205776,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,130.3091498,1018.630168,76316,9,0,1567,1566,4,900,18.09222221,20.25888824,2.166666031,18.92972231,0.906793283,75.71888924 +1567,MN,799,67,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,148 WEST 24 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,148 W.24 TENANTS CORP,4937,59508,59508,0,6116,4000,0,0,0,0,2,1,12,0,15,50,98.75,50,98, ,3,N,5,2,445500,4522500,0,0,1910,0,0, , ,12.05,0,10,10,1,1007990067,0,91,985771,210425,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,300.5340826,5053.112842,4077000,2,0,1568,1567,22,4950,29.26199913,35.34111023,6.079111099,29.53832236,1.266272126,649.843092 +1568,MN,176,11,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,39 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,WHITE ROSE ARTISTS CO,2506,11000,2200,8800,0,2200,0,0,0,0,2,1,5,4,4,25,100.08,25,95,E,3,Y,5,2,104738,595144,2175,2175,1915,0,0, ,39 WORTH STREET BUILDING,4.39,6.02,6,6.5,1,1001760011,0,33,982309,200742,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,253.6463656,2580.330127,490406,14,0,1569,1568,12,2700,14.40400028,14.40400028,0,14.40400028,0,172.8480034 +1569,MN,610,46,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,144 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,DECA,2403,9215,0,9215,0,0,0,0,0,0,2,1,5,20,20,25,96.17,25,81, ,3,N,5,2,142650,1271700,0,0,1900,1965,0,Greenwich Village Historic District, ,3.83,2.43,0,4.8,1,1006100046,0,71,984012,206824,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,245.0660735,2364.279256,1129050,8,0,1570,1569,9,2025,18.18777847,20.80800056,2.620222092,18.47891426,0.82345636,166.3102283 +1570,MN,438,11,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,406 EAST 11 STREET,R8B, , , , , , , , , ,N,G7,10,0, ,FOUR GUDS RLTY CORP,2369,450,0,0,0,0,0,0,0,0,2,1,1,0,1,25,94.75,0,18, ,0,N,5,5,34200,38700,0,0,0,0,0, , ,0.19,4,0,4,1,1004380011,0,34,988804,204856,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,245.2367771,2377.096468,4500,12,0,1571,1570,10,2250,17.98900032,22.72777748,4.738777161,21.41944466,1.604151683,214.1944466 +1571,MN,567,24,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,21 EAST 9 STREET,C1-7,R7-2, , , , , , , , ,Y,D7,4,0,P,21 EAST 9 REALTY LLC,2768,10015,1475,8540,0,1475,0,0,0,0,2,1,6,18,19,30,92.25,30,80,E,3,N,5,2,256500,1907100,0,0,1938,0,0,Greenwich Village Historic District, ,3.62,6.02,2,6.5,1,1005670024,0,59,985759,206148,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,248.8577983,2940.900174,1650600,8,0,1572,1571,13,2925,27.86444473,34.43999863,6.575553894,28.68717957,1.988673627,372.9333344 +1572,MN,740,13,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,335 WEST 16 STREET,R8B, , , , , , , , , ,N,W6,8,0, ,335 WEST 16TH ST. LLC,8464,48800,48800,0,0,0,0,0,0,48800,2,1,5,0,1,100,92,100,87, ,3,N,5,2,450000,7290000,0,0,1920,1987,2000, , ,5.77,4,0,4,1,1007400013,0,83,983417,209579,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,390.4370484,9514.514254,6840000,7,0,1573,1572,43,9675,15.59444427,15.59444427,0,15.59444427,0,670.5611038 +1573,MN,487,7502,102,47,1003,2,1,10012,L008,1,15,6800,1,2, ,152 SPRING STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,3200,14661,5634,9027,0,5634,0,0,0,0,2,1,5,3,5,40,80,40,76, ,0,N,0,5,474893,2548934,0,0,1920,0,0, , ,4.58,0,5,6.5,1,1004877502,2444,47,983796,203121,12a, ,101N069,10206, ,1004870024,4/17/2014,1, , ,17V1.1,7,244.6960942,3307.507786,2074040,0,0,1574,1573,14,3150,13.42399979,16.58333397,3.159334183,13.83866651,1.0203441,193.7413311 +1574,MN,924,39,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,352 EAST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,ALAN TABAK,1802,4196,0,4196,0,0,0,0,0,0,2,1,4,8,8,19.58,92,20,70, ,3,N,5,2,72196,308084,0,0,1910,2006,2006, , ,2.33,3,0,3,1,1009240039,0,48,989526,206863,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.1620054,1929.759542,235888,5,0,1575,1574,9,2025,14.83555603,16.96999931,2.134443283,15.26130878,0.73535364,137.351779 +1575,MN,746,5,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,363 WEST 22 STREET,R7B, , , ,C1-5, , , , , ,N,C3,2,0, ,RENNELL CLAIRE,1086,3898,0,3898,0,0,0,0,0,0,2,1,3,4,4,22,49.33,22,40, ,3,N,5,5,236131,395855,0,0,1910,1987,0,Chelsea Historic District Extension, ,3.59,3,0,3,1,1007460005,0,93,983894,210981,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,144.7101054,1089.820537,159724,2,0,1576,1575,5,1125,15.97222233,15.97222233,0,15.97222233,0,79.86111164 +1576,MN,828,25,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,1141 BROADWAY,M1-6, , , , , , , , , ,N,HB,5,0,P,1141 REALTYOWNER LLC,3075,30966,4824,0,2412,2412,0,0,0,0,2,1,11,0,2,50.17,96.92,49,97, ,2,Y,3,2,900000,8626500,0,0,1927,1986,2009,Madison Square North Historic District, ,10.07,0,10,10,1,1008280025,0,58,987232,210345,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,265.4155494,3459.153079,7726500,2,0,1577,1576,15,3375,42.13444519,42.13444519,0,42.13444519,0,632.0166779 +1577,MN,402,7501,103,32,7002,1,2,10009,L011,9,14,6600,3,3, ,132 EAST 7 STREET,R7A, , , ,C2-5, , , , , ,N,RM,4,0, ,132 EAST 7 ST CONDO A,2769,7619,2669,4950,0,2669,0,0,0,0,2,1,4,6,9,36.92,75,0,0, ,0,N,5,5,41403,1133565,0,0,1900,0,0, , ,2.75,4,0,4,1,1004027501,791,32,988858,203717,12c, ,102 021,10203, ,1004020010,11/20/1991,1, , ,17V1.1,7,231.4048069,3002.434638,1092160,12,0,1578,1577,14,3150,12.85000038,18.56333351,5.71333313,14.07357168,2.048403071,197.0300035 +1578,MN,798,54,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,118 WEST 23 STREET,C6-3X, , , , , , , , , ,N,D7,4,0,P,AIMCO PROPERTIES LP,7406,48539,5400,43139,0,5400,0,0,0,0,2,1,15,42,44,75,98.75,70,93, ,3,N,5,2,1161000,7091100,0,0,1987,0,0, , ,6.55,9,6,9,1,1007980054,0,91,985989,209965,8d, ,105S011,10305, ,1007980055,8/26/2013,1, , ,17V1.1,0,350.225692,7498.984503,5930100,2,0,1579,1578,34,7650,28.16444397,32.49333191,4.328887939,28.47910084,1.048708685,968.2894287 +1579,MN,625,18,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,323 WEST 12 STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,REGAN MAURICE,936,2418,0,2418,0,0,0,0,0,0,2,1,3,1,1,22,65.42,22,36,E,3,Y,5,2,39124,185439,0,0,1899,2009,0,Greenwich Village Historic District, ,2.58,3.44,2,6.5,1,1006250018,0,79,982553,208043,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,181.0910051,1310.083858,146315,8,0,1580,1579,3,675,15.4800005,15.4800005,0,15.4800005,0,46.44000149 +1580,MN,888,20,105,72,2001,2,2,10016,L007,14,14,5300,1,5,1A,200 LEXINGTON AVENUE,C6-2A,C6-1, , , , , , , , ,Y,L1,6,0, ,NY FURNITURE EXCHANGE,34562,470000,470000,0,0,20277,0,449723,0,0,2,1,16,0,98,197.5,175,192.82,150, ,2,N,3,2,10620000,53856900,0,0,1925,0,0, , ,13.6,6.02,6,6.5,1,1008880020,0,72,989560,210917,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,761.8321328,36165.75623,43236900,10,0,1581,1580,161,36225,30.12800026,41.59666443,11.46866417,30.88650394,2.348445587,4972.727135 +1581,MN,552,148,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,118 WAVERLY PLACE,R7-2, , , , , , , , , ,N,C6,2,0,P,118 WAVERLY PLACE INC,2297,8250,0,8250,0,0,0,0,0,0,2,1,4,10,10,22,104.17,22,68, ,3,Y,5,2,140587,524379,7080,7080,1900,1987,0,Greenwich Village Historic District, ,3.59,3.44,0,6.5,1,1005520148,0,65,984374,206112,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,258.7484411,2319.208228,383792,9,0,1582,1581,10,2250,17.50333405,17.85111237,0.34777832,17.53811188,0.104333496,175.3811188 +1582,MN,398,31,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,32 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,LEE JACKSON,1947,8760,1000,7760,0,1000,0,0,0,0,2,1,5,16,17,24.33,80,24,70, ,3,N,5,2,67500,585450,0,0,1920,0,0, , ,4.5,4,0,4,1,1003980031,0,3002,988880,202541,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,215.6068988,2027.245538,517950,1,0,1583,1582,9,2025,20.40699959,21.52377701,1.11677742,20.53108597,0.350969283,184.7797737 +1583,MN,641,58,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,802 GREENWICH STREET,R6, , , , , , , , , ,N,S1,4,0, ,"JEFFREY A. LEVITT, AS",7397,11889,3387,8502,3387,0,0,0,0,0,2,1,3,1,2,104.17,65,65,52, ,3,Y,3,5,89164,910500,0,0,1948,1989,2011,Greenwich Village Historic District, ,1.61,2.43,0,4.8,1,1006410058,0,79,982393,208068,12a,Y,103 014,10210, ,0, ,1, , ,17V1.1,0,371.4421148,7852.871234,821336,8,0,1584,1583,32,7200,12.27999973,12.27999973,0,12.27999973,0,392.9599915 +1584,MN,738,72,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,358 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,WEST 15 STREET ASSOCI,5163,22318,0,22318,0,0,0,0,0,0,2,1,6,36,36,50,103.25,50,86, ,3,N,5,2,216900,2521800,0,0,1911,0,0, , ,4.32,4,0,4,1,1007380072,0,83,983061,209296,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,317.4081565,5511.000091,2304900,7,0,1585,1584,24,5400,16.15333366,17.86555481,1.712221146,16.22467621,0.342146839,389.3922291 +1585,MN,445,22,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,112 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,HUGLOU REALTY CORP,7213,17408,4808,12600,0,2404,0,0,0,0,2,3,1,18,21,75,96.17,25,96.17, ,0,N,5,2,253350,1428300,0,0,1900,1988,0, , ,2.41,4,0,4,1,1004450022,0,38,987525,203567,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,348.621831,7454.065765,1174950,1,0,1586,1585,32,7200,29.97444344,32.87333298,2.898889542,30.29123867,0.852373953,969.3196373 +1586,MN,751,76,104,97,1001,2,3,10001,L024,10,15,5500,1,4,2A,298 9 AVENUE,R8, , , , , , , , , ,N,M1,8,0,X,PROT EPIS CHUR HOLY A,13950,12375,12375,0,0,0,0,0,0,12375,2,1,3.5,0,0,98.75,125,98.75,125, ,0,Y,3,2,1413000,2332350,1413000,2332350,1900,0,0, ,CHURCH OF THE HOLY APOSTLES,0.89,6.02,0,6.5,1,1007510076,0,97,984577,212256,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,541.3636147,15883.05212,919350,2,0,1587,1586,72,16200,23.80555534,26.58222198,2.776666641,24.31539488,0.893770917,1750.708431 +1587,MN,440,27,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,438 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,KC3 - 438-440 EAST 13,2504,9135,0,9135,0,0,0,0,0,0,2,1,5,20,20,24.25,103.25,24,84, ,3,N,5,0,143550,753300,0,0,1900,1987,0, , ,3.65,4,0,4,1,1004400027,0,34,989319,205174,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,263.2200477,2607.638001,609750,12,0,1588,1587,10,2250,16.59444427,19.43222237,2.837778091,17.13911114,1.090535391,171.3911114 +1588,MN,477,11,102,37,3015,2,1,10013,L008,1,15,6800,1,2,1B,57 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,O4,5,0, ,101 LIMITED PARTNERSH,30912,402110,402110,0,400000,2110,0,0,0,0,2,1,23,0,1,184.83,197.3,174,163, ,0,Y,5,5,6750000,73798650,0,0,1990,2011,0, , ,13.01,0,10,10,1,1004770011,0,37,982743,202823,12a, ,101N042,10206, ,0, ,1, ,1,17V1.1,0,704.4113273,31244.28428,67048600,0,1,1589,1588,138,31050,9.686666489,11.62333298,1.936666489,10.01886459,0.593274269,1382.603313 +1589,MN,418,40,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,299 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ZI CHENG REALTY CORP,2873,15060,1200,13860,0,1200,0,0,0,0,2,1,7,26,28,32.83,87.5,33,77, ,1,N,5,2,270000,629550,0,0,1900,1988,0, , ,5.24,4,4,4,1,1004180040,0,18,986403,201056,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,244.6143521,2844.99113,359550,13,0,1590,1589,13,2925,37.89666748,41.26555634,3.368888855,38.31504352,1.013706458,498.0955658 +1590,MN,622,26,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,97 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0,P,EBRAHIM REALTY INC,2408,9145,0,9145,0,0,0,0,0,0,2,1,5,15,15,25.17,96,25,81, ,3,Y,5,2,179550,703350,0,0,1910,1985,0,Greenwich Village Historic District, ,3.8,3.44,2,6.5,1,1006220026,0,73,982733,207213,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,244.0688873,2466.000378,523800,8,0,1591,1590,11,2475,22.42000008,22.42000008,0,22.42000008,0,246.6200008 +1591,MN,817,1,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,552 AVENUE OF THE AMER,C6-2A,C6-2M, , , , , , , , ,Y,D9,3,0, ,LEFT BANK COMPANY,17475,101231,18287,82944,5171,3360,9756,0,0,0,2,1,6,108,111,154.83,119.25,141,106,G,1,Y,3,2,2416500,10847700,0,0,1973,0,0, , ,5.79,6.02,6,6.5,1,1008170001,0,54,985407,208205,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,558.5456179,18091.52234,8431200,7,0,1592,1591,81,18225,29.34555626,30.80200005,1.456443787,30.58964887,0.489712346,2477.761559 +1592,MN,489,22,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,188 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,B3,1,0, ,188 SPRING HOLDINGS L,1755,2239,0,2239,0,0,0,0,0,0,2,1,4,2,2,16.92,78,16.92,40, ,2,Y,5,2,13057,70334,0,0,1899,0,0,Sullivan-Thompson Historic District, ,1.28,3.44,0,6.5,1,1004890022,0,47,983398,203349,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,275.6374753,1892.314966,57277,0,1,1593,1592,10,2250,9.686666489,13.58911133,3.902444839,10.07691097,1.170733452,100.7691097 +1593,MN,912,24,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,243 EAST 3 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,LORENZO ESTATES INC,1975,4640,0,4640,0,0,0,0,0,0,2,1,4,5,5,20,98.75,20,44, ,3,N,5,5,132097,222032,0,0,1900,1988,0, , ,2.35,3,0,3,1,1009120024,0,70,990412,210094,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,241.8513139,2021.220796,89935,10,0,1594,1593,9,2025,26.45000076,28.69000053,2.239999771,27.41963005,0.783604067,246.7766705 +1594,MN,651,105,102,79,1003,2,3,10014,L005,6,15,6100,1,2,3B,20 BLOOMFIELD STREET,M3-2, , , , , , , , , ,N,T2,7,0,O,NYS DOT,121075,74385,74385,0,0,0,74385,0,0,0,2,2,1,0,3,187.25,826,90,826.5, ,2,Y,2,0,1728000,3349350,1728000,3349350,1910,0,0, , ,0.61,0,2,0,1,1006510105,0,79,980957,209197,8b, ,103 050,10210, ,0, ,1,1,1,17V1.1,0,1087.497127,12412.31108,1621350,8,1,1595,1594,16,3600,0,7.118888855,7.118888855,1.958590284,2.719898564,31.33744454 +1595,MN,517,126,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,141 THOMPSON STREET,R7-2, , , , , , , , , ,N,M1,8,0, ,CHUR ST ANTHONY OF PA,7502,11046,11046,0,0,0,0,0,0,11046,2,1,3,0,1,74,100,59,88, ,3,Y,5,2,846000,1493100,0,0,1952,0,0,Sullivan-Thompson Historic District, ,1.47,3.44,0,6.5,1,1005170126,0,49,983895,204101,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,372.5832349,7701.272657,647100,9,0,1596,1595,34,7650,17.9011116,23.18333435,5.282222748,18.96422919,1.797170269,644.7837925 +1596,MN,827,39,105,58,1004,2,2,10010,E001,13,15,5700,1,5,1B,202 5 AVENUE,C5-2, , , , , , , , , ,N,K4,4,0, ,"PORVEN REAL ESTATE, I",2400,15296,15296,0,5761,9535,0,0,0,0,2,1,7,0,1,28.17,91,28,91, ,2,Y,3,2,622350,2601450,0,0,1930,2013,0,Madison Square North Historic District, ,6.37,10,10,10,1,1008270039,0,58,987335,209991,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,239.6479068,2686.796236,1979100,2,0,1597,1596,13,2925,40.94300079,40.94300079,0,40.94300079,0,532.2590103 +1597,MN,404,11,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,514 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,514 E 11TH ST INC,1939,5375,0,5375,0,0,0,0,0,0,2,1,4,8,8,25,77.5,25,72,E,3,N,5,2,50590,225193,7080,7080,1929,1986,0, , ,2.77,4,0,4,1,1004040011,0,34,989480,204488,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,211.1367344,1915.328857,174603,12,0,1598,1597,8,1800,12.53199959,15.24133301,2.70933342,13.16013849,1.092408262,105.2811079 +1598,MN,342,60,103,12,1005,1,1,10002,L018,7,14,7600,1,3,2B,132 BROOME STREET,C6-2, , , , , , , , , ,N,Y1,8,0,C,NYPD,17486,55000,55000,0,0,0,0,0,0,55000,2,1,4,0,0,121.33,140.75,162.83,108, ,0,Y,3,2,814500,6079950,814500,6079950,1972,0,0, , ,3.15,6.02,6,6.5,1,1003420060,0,12,988709,200325,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,684.4338815,22488.91424,5265450,13,0,1599,1598,99,22275,22.15999985,23.59911156,1.43911171,22.55088398,0.12240445,2232.537514 +1599,MN,405,51,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,519 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,HEARTSTONE HDFC,5163,10585,0,10585,0,0,0,0,0,0,2,1,5,12,12,50,103.25,25,90, ,2,N,5,2,66600,575100,66600,421857,1910,1978,0, , ,2.05,4,0,4,1,1004050051,0,34,989607,204589,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,308.7087521,5124.099068,508500,12,0,1600,1599,24,5400,13.81444454,15.46666622,1.65222168,14.29490745,0.582464961,343.0777788 +1600,MN,470,38,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,118 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,JING CHENG REALTY INC,2435,11922,800,11122,0,800,0,0,0,0,2,1,6,20,21,25.17,96.75,26,86, ,3,N,5,2,96300,682650,0,0,1900,0,0, , ,4.9,6.02,6,6.5,1,1004700038,0,41,985559,201281,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,255.0425698,2592.412715,586350,0,0,1601,1600,12,2700,31.67711258,31.67711258,0,31.67711258,0,380.125351 +1601,MN,819,15,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,41 WEST 17 STREET,C6-4A, , , , , , , , , ,N,G6,10,0, ,42 WEST 18TH REALTY C,6900,0,0,0,0,0,0,0,0,0,7,1,0,0,0,50,184,0,0, ,0,Y,4,5,723600,723600,0,0,0,0,0,Ladies' Mile Historic District, ,0,10,10,10,1,1008190015,0,54,985880,208529,8d, ,102 041,10306,R-17,0, ,1, , ,17V1.1,0,494.3031348,7371.689578,0,7,0,1602,1601,32,7200,32.36888886,36.38777924,4.018890381,34.41968751,1.640168994,1101.43 +1602,MN,619,62,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,200 WEST 10 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"SPENCE, CHENAULT",1717,3591,0,3591,0,0,0,0,0,0,2,1,3,4,4,19.08,95,19,62, ,3,N,5,5,200994,337776,0,0,1905,1986,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006190062,0,73,983193,206665,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,232.5075697,1855.594855,136782,9,0,1603,1602,9,2025,23.46111107,27.2033329,3.742221832,24.27456792,1.470047469,218.4711113 +1603,MN,606,39,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,144 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,"ROTTENBERG , LESLIE",2025,7245,0,5796,0,0,0,0,0,0,2,1,4,3,3,22.5,90,23,63, ,3,N,5,1,18236,279910,0,0,1900,2008,0,Greenwich Village Historic District, ,3.58,2.43,0,4.8,1,1006060039,0,71,984199,207408,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,223.8199934,2018.381983,261674,8,0,1604,1603,10,2250,22.88899994,24.23444366,1.345443726,23.1505331,0.523339106,231.505331 +1604,MN,415,9,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,170 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,A4,1,0, ,"FORGEOIS, DANY",2206,6000,0,6000,0,0,0,0,0,0,2,1,3,1,1,25,88.25,25,80.25, ,0,N,5,2,11765,62813,0,0,1920,1965,1997, , ,2.72,4,4,4,1,1004150009,0,18,986825,201624,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,231.3051565,2294.093217,51048,13,0,1605,1604,10,2250,37.10666656,41.83333206,4.726665497,37.57933311,1.417999649,375.7933311 +1605,MN,235,4,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,206 CENTRE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,"WON & TOM, INC.",3110,18600,18600,0,15490,3110,0,0,0,0,2,1,6,0,7,22.33,127.75,22,126, ,3,Y,4,2,274950,667800,0,0,1915,0,0, , ,5.98,0,5,6.5,1,1002350004,0,41,984578,201187,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,320.6979545,3389.165002,392850,0,0,1606,1605,15,3375,18.99699974,18.99699974,0,18.99699974,0,284.9549961 +1606,MN,793,7505,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,151 WEST 17 STREET,C6-2A,C6-3A, , , , , , , , ,Y,R4,3,0, , ,23510,108969,12119,96850,0,0,12119,0,0,0,2,1,12,49,49,157.5,184,157,67, ,0,Y,0,5,1935000,14558102,76861,455606,2001,0,0, , ,4.64,6.02,6,6.5,1,1007937505,1234,81,984958,208984,8d, ,103 029,10305,E-92,1007930005,8/8/2002,1, , ,17V1.1,7,815.1332552,18690.31836,12623100,7,0,1607,1606,85,19125,27.66555595,27.66555595,0,27.66555595,0,2351.572256 +1607,MN,281,60,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,11 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,TSUNG-SUN SOCIAL CLUB,1763,5436,5436,0,0,2200,0,0,0,3236,2,1,3,0,2,25,70.5,25,68,E,3,N,5,2,154800,607500,0,0,1910,1988,0, , ,3.08,3.44,6,6.5,1,1002810060,0,8,985114,199370,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,196.9824233,1858.908796,452700,16,0,1608,1607,5,1125,35.10200119,35.10200119,0,35.10200119,0,175.510006 +1608,MN,63,18,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,179 BROADWAY,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,"LRC-179 BROADWAY, LLC",2520,13820,13820,0,9056,2500,0,2264,0,0,2,1,6,0,3,25.25,100.42,25,100, ,3,Y,5,2,594000,2089800,0,0,1920,0,0, , ,5.48,10,15,15,1,1000630018,0,13,981466,198014,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,262.1146681,2754.783071,1495800,3,0,1609,1608,13,2925,30.83200073,33.22600174,2.394001007,31.01615466,0.637927904,403.2100105 +1609,MN,850,7504,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,24 EAST 22 STREET,M1-5M, , , , , , , , , ,N,RM,4,0, , ,2469,13580,3568,10012,0,3568,0,0,0,0,2,1,8,5,7,25,98.75,0,0, ,0,N,3,5,142066,1767984,0,0,1905,0,0, , ,5.5,0,5,6.5,1,1008507504,1022,56,987482,208844,8d, ,102 044,10306, ,1008500060,11/5/1998,1, , ,17V1.1,7,258.0643879,2598.648492,1625920,11,0,1610,1609,12,2700,35.59999847,38.20000076,2.600002289,35.81666533,0.718602671,429.799984 +1610,MN,459,21,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,70 EAST 4 STREET,R8B, , , , , , , , , ,N,O2,5,0,P,70 EAST 4TH CULTURAL,2708,8740,8740,0,8740,0,0,0,0,0,2,1,3,0,1,25,108.33,25,90, ,0,N,5,5,213750,486000,213750,486000,1900,2014,0,East Village/Lower East Side Historic Di, ,3.23,4,0,4,1,1004590021,0,38,986911,203902,12c, ,102 009,10205,E-216,1004590014,1/3/1995,1, , ,17V1.1,0,268.5520994,2773.792236,272250,1,0,1611,1610,13,2925,35.86666489,37.66333008,1.796665192,36.0048699,0.478756215,468.0633087 +1611,MN,356,1,103,20,3003,1,2,10009,E028,9,14,7600,1,3,3A,10 AVENUE D,R7-2, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,693945,1658649,0,1658649,0,0,0,0,0,0,2,18,14,1861,1861,960.92,613.42,170.83,85.83, ,0,Y,3,5,26999100,94988700,26999100,94988700,1950,0,0, , ,2.39,3.44,0,6.5,1,1003560001,0,20,990795,201844,12c, ,102 039,10202, ,0, ,1,1,1,17V1.1,0,3856.721687,704010.1169,67989600,1,1,1612,1611,3130,704250,7.988888741,20.91555595,12.92666721,10.28009636,1.421932071,32176.70161 +1612,MN,905,47,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,220 EAST 25 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,220 EAST 25TH STREET,3950,15774,0,15774,0,0,0,0,0,0,2,1,6,24,24,40,98.75,40,84, ,3,N,5,2,225000,1922400,0,0,1920,1979,0, , ,3.99,4,0,4,1,1009050047,0,66,989440,208687,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,278.2817169,3933.823414,1697400,11,0,1613,1612,17,3825,26.78800011,33.64333344,6.855333328,27.46081049,1.88334693,466.8337784 +1613,MN,426,8,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,227 BOWERY,C6-1, , , , , , , , , ,N,M2,8,0,X,BOWERY MISSION,4626,17169,17169,0,0,0,0,0,0,17169,2,1,5,0,1,24.92,184,25,171, ,3,Y,5,2,422550,1118700,422550,1118700,1920,2001,0, ,BOWERY MISSION,3.71,3.44,6,6.5,1,1004260008,0,3601,986234,202311,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,426.2870147,4783.308251,696150,13,0,1614,1613,22,4950,41.51444626,44.10222244,2.587776184,41.71035524,0.633111538,917.6278152 +1614,MN,637,36,102,75,1008,2,3,10014,L005,6,15,6400,1,2,2K,151 CHARLES STREET,R6A,C1-6A, , ,C1-5, , , , , ,Y,C6,2,0, ,CHARLES STREET TENANT,9103,13156,0,13156,0,0,0,0,0,0,2,1,2,12,12,88.17,103.25,88,66,E,3,Y,4,0,463500,1779300,18880,18880,1979,1978,0, , ,1.45,3,0,3,1,1006370036,0,75,981729,206770,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,383.5580641,9139.109662,1315800,9,1,1615,1614,40,9000,10.52600002,15.07444477,4.548444748,13.14378583,0.553958143,525.7514334 +1615,MN,905,19,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,231 EAST 24 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"SCHAINBERG, MARION",2910,13242,600,12642,0,600,0,0,0,0,2,1,6,24,25,29.33,98.75,29,86, ,3,N,5,2,202500,1159200,0,0,1920,1986,0, , ,4.55,4,0,4,1,1009050019,0,66,989481,208549,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,262.919343,2973.67747,956700,11,0,1616,1615,13,2925,26.78800011,32.48111343,5.693113327,27.65753863,2.039312364,359.5480022 +1616,MN,544,73,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,25 EAST 4 STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,QUARTER ON FOURTH REA,2695,19080,0,19080,0,0,0,0,0,0,2,1,8,8,8,21.5,126.33,22,126, ,3,Y,5,2,231012,1142832,4720,4720,1900,2008,2005,NoHo Historic District Extension, ,7.08,0,5,6.5,1,1005440073,0,57,986349,204439,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,307.5445069,2965.626612,911820,9,0,1617,1616,13,2925,40.7820015,40.7820015,0,40.7820015,0,530.1660194 +1617,MN,574,4,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,448 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,"450 VILLAGE COMPANY,",1589,3896,1403,2493,0,1403,0,0,0,0,2,1,3,2,3,22.33,71.17,22.33,32, ,3,N,5,5,66473,162651,0,0,1902,0,0,Greenwich Village Historic District, ,2.45,3.44,2,6.5,1,1005740004,0,63,984734,207036,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,187.6180124,1579.802875,96178,8,0,1618,1617,8,1800,20.66300011,21.36544418,0.702444077,20.75080562,0.232311542,166.0064449 +1618,MN,790,7503,104,81,4000,2,3,10011,L012,13,15,5600,1,4, ,133 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2581,12885,3000,9885,0,3000,0,0,0,0,2,1,8,6,7,25,103.25,25,102, ,0,N,5,5,219030,1500442,2360,2360,1920,2003,2003, , ,4.99,6.02,6,6.5,1,1007907503,1707,81,984747,208241,8d, ,103 028,10305, ,1007900017,6/8/2007,1, , ,17V1.1,7,262.5391241,2696.325218,1281410,7,0,1619,1618,11,2475,27.73777771,28.79000092,1.052223206,27.88858587,0.333717883,306.7744446 +1619,MN,590,7502,102,67,1000,2,3,10014,E024,6,15,6400,1,2, ,9 BARROW STREET,R6, , , ,C1-5, , , , , ,N,RM,4,0, ,LOWELL ASSOCIATES,9450,65681,7460,58221,0,7460,0,0,0,0,2,1,8,86,87,82,111.75,0,0, ,0,Y,5,5,1507500,11830500,80717,80717,1930,0,0,Greenwich Village Historic District, ,6.95,2.43,0,4.8,1,1005907502,608,67,983618,206184,12a, ,103 005,10208, ,1005900069,3/6/1989,1, , ,17V1.1,7,409.938215,10145.63231,10323000,9,0,1620,1619,43,9675,19.74111176,20.33555603,0.594444275,19.76720992,0.118382937,849.9900265 +1620,MN,624,1,102,79,4007,2,3,10014,L005,6,15,6100,1,2,3B,771 GREENWICH STREET,C1-6, , , , , , , , , ,N,D4,3,0,P,LEFT BANK APT CORP,14870,90450,12663,77787,0,12663,0,0,0,0,2,1,7,111,113,137.33,137.75,123,126, ,1,Y,1,2,2263500,10728450,117730,117730,1968,1988,2014,Greenwich Village Historic District, ,6.08,3.44,2,6.5,1,1006240001,0,79,982524,207680,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,522.2491246,16277.16433,8464950,8,0,1621,1620,72,16200,18.61700058,21.52777863,2.910778046,18.92123657,0.6822549,1362.329033 +1621,MN,888,51,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,148 EAST 33 STREET,R8B, , , , , , , , , ,N,G1,10,0, ,PJW 33RD STREET LLC,5985,27800,27800,0,0,0,27800,0,0,0,2,1,4,0,2,43.75,122.83,43.75,108, ,3,Y,5,2,495000,2772450,0,0,1925,0,0, , ,4.64,4,0,4,1,1008880051,0,72,989869,210786,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,358.7008184,6399.036368,2277450,10,0,1622,1621,28,6300,24.35555458,25.68388939,1.328334808,24.40299511,0.246508219,683.2838631 +1622,MN,441,3,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4B,222 1 AVENUE,C1-7A, , , , , , , , , ,N,C7,4,0, ,"SEYS GROUP, LLC",1683,6742,1642,5100,0,1275,0,0,0,367,2,1,5,16,17,25.5,66,26,50, ,3,N,5,2,306000,599400,0,0,1922,2011,0, , ,4.01,6.02,2,6.5,1,1004410003,0,34,989057,205519,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,190.0358838,1817.941903,293400,12,0,1623,1622,8,1800,17.51499939,21.99555588,4.480556488,19.03562474,1.975018779,152.2849979 +1623,MN,400,18,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,524 EAST 5 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,ZENILA REALTY CORP,1979,5976,600,5376,0,600,0,0,0,0,2,1,5,9,10,20.58,96.17,21,54, ,3,N,5,1,42094,227427,0,0,1930,0,0, , ,3.02,3,0,3,1,1004000018,0,32,988865,203117,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,231.8321081,1895.467739,185333,1,0,1624,1623,9,2025,15.8922224,18.89222145,2.999999046,16.69691351,1.010805611,150.2722216 +1624,MN,780,1,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,402 8 AVENUE,C6-3X, , , , , , , , , ,N,C7,4,0, ,"PAT REILLY, INC.",1675,4803,1000,3803,0,1000,0,0,0,0,2,1,3,8,9,25,67,25,64,E,3,N,3,1,140053,469805,0,0,1900,1983,0, , ,2.87,9,6,9,1,1007800001,0,101,985642,212396,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,194.4549034,1913.259668,329752,6,0,1625,1624,8,1800,30.81911087,31.09600067,0.276889801,31.06138945,0.091572694,248.4911156 +1625,MN,487,1,102,47,1003,2,1,10013,L008,1,15,6800,1,2,1A,484 BROOME STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,59 WOOSTER ST CORP,7500,43500,14500,29000,0,7250,0,0,0,7250,2,1,6,8,13,100,75,100,75, ,2,N,3,1,412200,5174550,2360,2360,1918,1984,0,SoHo-Cast Iron Historic District, ,5.8,0,5,6.5,1,1004870001,0,47,983624,202758,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,354.4727579,7693.658443,4762350,0,1,1626,1625,35,7875,13.09866619,13.42399979,0.325333595,13.41470454,0.05420013,469.5146589 +1626,MN,389,42,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,637 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,637 EAST 6TH STREET,2271,8860,0,8860,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,68, ,2,N,5,2,11617,51659,0,0,1920,0,0, , ,3.9,4,0,4,1,1003890042,0,2602,989866,203022,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.8924634,2474.613612,40042,12,1,1627,1626,11,2475,9.168999672,10.47000027,1.301000595,9.309686661,0.373639524,102.4065533 +1627,MN,637,77,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,161 PERRY STREET,C1-6A, , , , , , , , , ,N,D0,3,0, ,165 HOUSING CORP,6623,39750,6625,33125,0,0,0,0,0,6625,2,1,6,21,22,66.25,100.25,66,100,E,2,N,5,2,751500,4736250,16520,16520,1911,1985,0, , ,6,4,2,4,1,1006370077,0,75,981709,207020,12a, ,103 011,10210, ,0, ,1, ,1,17V1.1,0,340.2020688,6999.811156,3984750,9,1,1628,1627,30,6750,10.60299969,12.02499962,1.421999931,11.97759962,0.2552568,359.3279886 +1628,MN,150,12,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,78 READE STREET,C6-2A, , , , , , , , , ,N,D5,3,0,P,AURORA ASSOCIATES LLC,4231,21000,4200,16800,0,4200,0,0,0,0,2,1,5,10,14,69,61,69,61, ,2,N,3,2,232200,2082150,0,0,1930,0,0,Tribeca South Historic District, ,4.96,6.02,6,6.5,1,1001500012,0,33,982256,199938,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,273.409267,4655.432887,1849950,14,0,1629,1628,20,4500,23.54111099,25.3239994,1.782888412,23.63025541,0.388571521,472.6051083 +1629,MN,124,7501,101,21,1007,2,1,10007,L010,1,15,7700,1,1, ,18 MURRAY STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, , ,1824,7022,1336,5686,0,0,0,0,0,1336,2,1,6,5,6,24.77,76.07,0,0, ,0,N,0,5,136299,523954,0,0,1920,0,0, , ,3.85,10,10,10,1,1001247501,1182,21,981902,199192,12b, ,101S018,10104, ,1001240016,3/29/2001,1, , ,17V1.1,7,204.9792294,1898.189714,387655,3,0,1630,1629,8,1800,33.17499924,33.17499924,0,33.17499924,0,265.3999939 +1630,MN,646,56,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,419 WEST 13 STREET,M1-5, , , , , , , , , ,N,L9,6,0, ,MAILLOFF INC,2788,15390,15390,0,0,5130,0,10260,0,0,2,1,6,0,2,27,103.25,27,95, ,3,N,5,2,388800,1659600,0,0,1910,2016,0,Gansevoort Market Historic District, ,5.52,0,5,6.5,1,1006460056,0,79,982367,209208,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,263.6874109,2830.787219,1270800,8,1,1631,1630,12,2700,12.05555534,12.05555534,0,12.05555534,0,144.6666641 +1631,MN,75,7501,101,15.02,2002,2,1,10038,E006,1,15,7700, ,1, ,46 FULTON STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0,P,FIFTY FULTON ASSOCIAT,1600,7795,2546,5249,0,1438,0,1108,0,0,2,1,5,6,10,75,54,24.58,19.67, ,0,Y,5,5,353723,1200881,16684,537977,1882,0,0, , ,4.87,10,10,10,1,1000757501,46,1502,982930,197268,12b, ,101S012,10102, ,0, ,1,1, ,17V1.1,7,198.3422419,1779.548169,847158,4,0,1632,1631,8,1800,13.26888847,15.22911072,1.960222244,13.73419428,0.69896193,109.8735542 +1632,MN,468,23,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,226 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,226 EAST 13 LLC,2945,13176,0,13176,0,0,0,0,0,0,2,1,6,28,28,28.5,103.25,29,88, ,3,N,5,2,360900,1813950,0,0,1930,1988,0, , ,4.47,4,0,4,1,1004680023,0,40,987920,205950,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,269.7841287,3020.692493,1453050,12,0,1633,1632,15,3375,28.72333336,33.80444717,5.081113815,29.14112612,1.280768633,437.1168919 +1633,MN,913,36,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,254 EAST 33 STREET,C1-8A, , , , , , , , , ,N,C1,2,0,P,WASHOKU KOBE INC.,1233,3689,0,3689,0,0,0,0,0,0,2,1,4,7,7,16.67,74,17,44, ,3,N,5,1,73635,276807,0,0,1910,2011,0, , ,2.99,7.52,2,7.5,1,1009130036,0,70,990687,210367,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,183.6154843,1260.555313,203172,10,0,1634,1633,5,1125,19.78333282,20.39999962,0.616666794,19.90666618,0.246666718,99.53333092 +1634,MN,464,44,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,31 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,SAMARIO LLC,2912,9860,4088,5772,0,4088,0,0,0,0,2,1,4,16,20,26,112.83,26,74, ,3,N,5,1,432000,1653750,0,0,1900,0,0, , ,3.39,4,0,4,1,1004640044,0,38,987525,204899,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,285.385175,3050.836487,1221750,12,0,1635,1634,13,2925,32.10889053,34.23777771,2.128887177,32.43365948,0.754304748,421.6375732 +1635,MN,373,23,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,340 EAST 4 STREET,R8B, , , , , , , , , ,N,D9,3,0,P,LES COALITION HOUSING,6501,27042,0,27042,0,0,0,0,0,0,2,1,6,28,28,65.7,96.17,65.7,85, ,0,N,5,5,232650,2206800,0,1960650,1900,1996,0, , ,4.16,4,0,4,1,1003730023,0,2601,990146,202114,12c, ,102 014,10202, ,1003730023,10/27/1998,1, , ,17V1.1,0,336.6987742,6865.747874,1974150,1,0,1636,1635,31,6975,12.37111092,13.2699995,0.898888588,12.4604909,0.239077444,386.275218 +1636,MN,697,31,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,259 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,W3,8,0, ,TEN-TWENTY-SIX INVEST,19760,214780,214780,0,0,0,0,0,0,214780,2,1,10,0,1,197.5,100,197.5,100, ,1,N,3,2,2250000,14806350,0,0,1928,1989,2011,West Chelsea Historic District, ,10.87,7.52,6,10,1,1006970031,0,99,983331,212307,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,622.0876044,21923.66931,12556400,2,1,1637,1636,99,22275,11.42000008,12.56222248,1.142222404,11.46365887,0.160774343,1134.902228 +1637,MN,425,16,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,213 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,"213 BOWERY REALTY,",1470,4680,3120,1560,1560,1560,0,0,0,0,2,1,3,1,3,23.42,70,23,70, ,3,Y,3,2,135000,547200,0,0,1910,2015,0, , ,3.18,3.44,6,6.5,1,1004250016,0,18,986121,202118,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,192.5923477,1732.864624,412200,0,0,1638,1637,8,1800,38.80888748,42.53777695,3.728889465,39.84922123,1.513292429,318.7937698 +1638,MN,902,49,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,220 EAST 22 STREET,R8A, , , , , , , , , ,N,D3,3,0,P,210-220 E. 22ND STREE,14558,77275,811,76464,811,0,0,0,0,0,2,1,6,122,123,147.5,98.75,147.5,98.75, ,0,N,5,5,2178000,14949450,0,0,1930,1980,0, , ,5.31,6,0,6,1,1009020049,0,64,989028,207987,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,493.8079559,14627.88469,12771500,11,0,1639,1638,64,14400,19.86555672,20.25666809,0.391111374,19.87408102,0.051866792,1271.941185 +1639,MN,411,24,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,149 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,149 LUDLOW TENANTS IN,2188,6940,1440,5500,0,1440,0,0,0,0,2,1,5,8,9,25,87.5,25,55,E,3,N,5,2,30061,114683,0,0,1900,0,0, , ,3.17,4,4,4,1,1004110024,0,3001,987509,201890,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,230.46041,2307.22645,84622,1,0,1640,1639,11,2475,31.68099976,35.45000076,3.769001007,32.57838405,1.429669847,358.3622246 +1640,MN,570,16,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,22 EAST 13 STREET,C6-1, , , , , , , , , ,N,C5,2,0, ,22 EAST 13TH ST TREVI,1755,4099,1600,2499,0,1600,0,0,0,0,2,1,3.5,7,9,22,79.75,22,73,E,3,N,5,2,90768,508716,0,0,1920,1983,2013, , ,2.34,3.44,6,6.5,1,1005700016,0,61,986148,206944,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,210.4522821,1732.460196,417948,8,0,1641,1640,8,1800,33.2820015,36.03110886,2.749107361,33.67969561,0.894094596,269.4375649 +1641,MN,780,7,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,259 WEST 30 STREET,M1-5, , , , , , , , , ,N,L1,6,0, ,TWO FRIENDS RELTY,6540,90174,90174,0,0,0,0,0,0,90174,2,1,17,0,32,50,98.75,50,165, ,3,Y,5,2,517500,9938250,0,0,1928,0,0, , ,13.79,0,5,6.5,1,1007800007,0,101,985776,212388,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,446.956956,7174.813592,9420750,6,0,1642,1641,30,6750,31.09600067,31.09600067,0,31.09600067,0,932.8800201 +1642,MN,141,11,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,152 READE STREET,C6-2A, , , , , ,TMU, , , ,N,A7,1,0, ,"PANG, ELAINE M",1350,6750,0,6750,0,0,0,0,0,0,2,1,5.5,1,1,24.92,54.08,25,54, ,3,Y,5,4,160942,429984,0,0,1900,2006,0, , ,5,6.02,6,6.5,1,1001410011,0,39,981418,200436,12a, ,115 016,10104, ,1001410009,12/4/2000,1, , ,17V1.1,0,164.6052987,1469.882066,269042,14,0,1643,1642,6,1350,16.8029995,16.8029995,0,16.8029995,0,100.817997 +1643,MN,75,21,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1, ,40 FULTON STREET,C6-4, , , , , ,LM, , , ,N,O4,5,0,P,40 FULTON STREET LLC,11828,234553,234553,0,226803,7750,0,0,0,0,2,1,28,0,34,101.69,123.41,101,53, ,3,Y,3,2,4545000,18463050,0,0,1987,1989,0, , ,19.83,10,10,10,1,1000750021,0,1502,982932,197177,12b, ,101S012,10102, ,1000750047,12/8/1987,1,1,1,17V1.1,0,455.4856129,11949.46581,13918100,4,1,1644,1643,52,11700,9.547777176,13.35599995,3.808222771,13.20700422,0.643738623,686.7642193 +1644,MN,461,45,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,223 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,223 EAST 5TH STREET L,2425,9320,1864,7456,0,1864,0,0,0,0,2,1,5,16,18,25,97,25,74, ,3,N,5,2,187200,1030500,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.84,4,0,4,1,1004610045,0,38,987039,204300,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.3021517,2528.78254,843300,1,0,1645,1644,12,2700,36.55199814,40.70555496,4.153556824,37.22268359,1.500629033,446.6722031 +1645,MN,503,11,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,117 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,SULLIVAN PROPERTIESLP,2500,10210,0,10210,0,0,0,0,0,0,2,1,6,22,22,25,100,25,87, ,2,N,5,1,225000,1704150,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.08,3.44,0,6.5,1,1005030011,0,49,983572,203779,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,254.6096488,2543.518653,1479150,0,0,1646,1645,11,2475,15.37666702,15.37666702,0,15.37666702,0,169.1433373 +1646,MN,526,58,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,182 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0,P,MARION L HOOGERWERF,1656,5085,810,4275,0,810,0,0,0,0,2,1,5,4,5,21.83,75.42,22,44, ,3,Y,5,5,162685,326183,0,0,1900,1981,2015,South Village Historic District, ,3.07,3.44,0,6.5,1,1005260058,0,65,983950,204834,12a,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,208.9899474,1850.83922,163498,9,0,1647,1646,9,2025,23.22699928,24.97999954,1.753000259,23.71466615,0.703290572,213.4319954 +1647,MN,279,54,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,22 1/2 CATHERINE STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,NEE KUNG SU INC.,1910,8513,1703,6810,0,1703,0,0,0,0,2,1,5,16,17,27.92,69.92,28,68, ,3,Y,5,2,85950,600750,0,0,1900,0,0, , ,4.46,3.44,0,6.5,1,1002790054,0,27,984984,199024,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,187.5383052,1746.282798,514800,16,0,1648,1647,8,1800,27.60099983,28.36055565,0.759555817,27.69594431,0.251199475,221.5675545 +1648,MN,462,7501,103,38,1004,1,2,10003,E028,9,14,6500,4,3, ,24 EAST 7 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,8853,45751,15114,30637,0,0,0,0,0,15114,2,2,12,33,34,97.93,90.87,0,0, ,0,N,0,5,1080000,5242096,491350,1768496,1991,0,0, , ,5.17,4,0,4,1,1004627501,901,38,987187,204613,12c, ,102 018,10205, ,1004620011,5/11/1995,1, , ,17V1.1,7,382.6269556,9146.78805,4162100,12,0,1649,1648,41,9225,35.00777817,38.16888809,3.161109924,36.11763987,1.221963051,1480.823235 +1649,MN,745,59,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,340 WEST 22 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,"CAROLYN DOWNEY, AS TR",2057,4188,0,2976,0,0,0,0,0,0,2,1,3,1,1,20.83,98.75,20.83,44,E,3,N,5,1,52641,172321,0,0,1910,0,0,Chelsea Historic District Extension, ,2.04,3,0,3,1,1007450059,0,89,984028,210756,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,243.7184478,2240.702705,119680,7,0,1650,1649,10,2250,15.9989996,18.76222229,2.763222694,16.73743305,1.110207261,167.3743305 +1650,MN,780,71,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,254 WEST 31 STREET,M1-5, , , , , , , , , ,N,O6,5,0, ,THIRTY ONE CO,4937,65977,65977,0,59013,6964,0,0,0,0,2,1,15,0,15,50,98.75,50,99,E,3,N,5,2,963000,5181300,0,0,1926,0,0, , ,13.36,0,5,6.5,1,1007800071,0,101,985791,212472,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,309.0317086,5315.59822,4218300,6,0,1651,1650,24,5400,31.09600067,31.59222221,0.496221542,31.11667657,0.099158121,746.8002377 +1651,MN,584,35,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,67 BEDFORD STREET,R6,C2-6, , , , , , , , ,Y,A5,1,0, ,"KEPPLE,DOUGLAS,J",1600,3000,0,3000,0,0,0,0,0,0,2,1,4,1,1,20,80,20,50, ,3,N,5,2,83186,421904,0,0,1910,1976,2007,Greenwich Village Historic District, ,1.88,2.43,0,4.8,1,1005840035,0,67,982885,205642,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,207.0978878,1754.241193,338718,9,0,1652,1651,8,1800,16.16111183,16.99555588,0.834444046,16.26541734,0.275966429,130.1233387 +1652,MN,885,39,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,149 EAST 29 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,THE GERALD W. ARTHUR,1234,2592,0,2592,0,0,0,0,0,0,2,1,4,1,1,12.5,98.75,12.5,54.75, ,2,N,5,2,54679,128563,4140,4140,1901,0,0, , ,2.1,4,0,4,1,1008850039,0,72,989551,209982,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,230.0436465,1388.11848,73884,11,0,1653,1652,6,1350,30.56200027,30.56200027,0,30.56200027,0,183.3720016 +1653,MN,772,56,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,208 WEST 23 STREET,C2-7A,R8B, , , , , , , , ,Y,D6,4,0, ,"J.S.B. PROPERTIES,",11875,152342,10000,142342,0,10000,0,0,0,0,2,1,18,262,266,100,118.75,100,119,E,3,N,5,2,3730500,20428650,0,0,1927,1979,0, , ,12.83,7.52,2,7.5,1,1007720056,0,91,985228,210374,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,451.5733952,12615.18429,16698200,2,0,1654,1653,55,12375,22.16600037,27.41333389,5.247333527,22.54468318,1.202577219,1239.957575 +1654,MN,766,33,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,213 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,213 WEST 16TH ST LLC,2300,5975,0,5975,0,0,0,0,0,0,2,2,4,12,12,25,92,25,40, ,3,N,5,2,118800,619650,0,0,1905,1987,2016, , ,2.6,4,0,4,1,1007660033,0,81,984467,208997,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.6882228,2370.20637,500850,7,0,1655,1654,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +1655,MN,350,65,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,165 ATTORNEY STREET,R7A, , , , , , , , , ,N,C1,2,0,P,"S.J. 171, LLC",2500,6750,0,6750,0,0,0,0,0,0,2,1,5,18,18,25,100,25,54, ,2,N,5,0,180000,837450,0,0,1910,1989,1999, , ,2.7,4,0,4,1,1003500065,0,2201,988828,201902,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,256.3812452,2595.987362,657450,1,0,1656,1655,11,2475,19.81333351,23.28111076,3.467777252,20.73161628,1.500835523,228.0477791 +1656,MN,449,20,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,62 ST MARKS PLACE,R8B, , , , , , , , , ,N,M1,8,0,X,RC CHUR OF ST CYRIL,2563,4589,4589,0,0,0,0,0,0,4589,2,1,3,0,1,25,102.5,25,46, ,0,N,5,2,176400,325800,176400,325800,1920,0,0, , ,1.79,4,0,4,1,1004490020,0,38,987988,204453,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,257.1998902,2589.995887,149400,12,0,1657,1656,11,2475,26.66699982,26.95999908,0.292999268,26.69363611,0.084231367,293.6299973 +1657,MN,453,4,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,180 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,O5,5,0, ,180 SECOND LLC,2583,7621,7620,0,4521,1679,0,0,0,1420,2,1,5,1,5,25.83,100,26,62, ,3,N,5,2,225000,690750,0,0,1910,1988,0, , ,2.95,4,0,4,1,1004530004,0,40,988170,205431,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,262.7813875,2802.211686,465750,12,0,1658,1657,12,2700,26.65699959,28.07111168,1.414112091,26.84633303,0.427801903,322.1559963 +1658,MN,421,7502,103,36.01,2001,1,1,10002,L018,5,14,6500,2,3, ,170 FORSYTH STREET,C4-4A, , , , , , , , , ,N,RM,4,0, ,ALL AREA REALRTY SERV,5092,24851,11546,13305,0,0,0,0,0,11546,2,1,8,16,20,50.92,100,0,0, ,0,N,5,5,594000,3200403,143099,749528,1988,0,0, , ,4.88,4,4,4,1,1004217502,758,3601,986687,202012,12c, ,102 002,10204, ,1004210082,3/18/1991,1, , ,17V1.1,7,309.5091194,5327.697587,2606400,13,0,1659,1658,24,5400,41.02500153,41.57311249,0.548110962,41.16844575,0.23106718,988.0426979 +1659,MN,201,28,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,5 ELIZABETH STREET,C6-1, , , , , , , , , ,N,M9,8,0,X,TRUST IN GOD CHURCH,1915,8975,8975,0,8975,0,0,0,0,0,2,1,5,0,2,29.5,72,30,65, ,3,Y,5,2,141300,1026900,141300,1026900,1890,0,0, , ,4.69,3.44,6,6.5,1,1002010028,0,29,984877,200026,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,207.1829008,1932.106858,885600,14,0,1660,1659,9,2025,33.0379982,33.0379982,0,33.0379982,0,297.3419838 +1660,MN,907,22,106,66,3001,2,2,10010,E016,13,14,5800,1,6,1B,237 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,235-237 CORP,2469,10455,0,10455,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,135000,912600,0,0,1920,0,0, , ,4.23,4,0,4,1,1009070022,0,66,989800,208961,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,257.7435811,2794.535753,777600,11,0,1661,1660,12,2700,35.09000015,37.43000031,2.340000153,35.28500017,0.646741876,423.420002 +1661,MN,220,29,101,33,3003,2,1,10013,L008,1,15,7700,1,1,3B,19 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,C2,2,0, ,GEREP RLTY CP,1522,7120,0,7120,0,0,0,0,0,0,2,1,5,5,5,20.25,75,20,75,E,3,N,5,0,46151,395280,0,0,1915,1979,0,Tribeca North Historic District, ,4.68,6.02,6,6.5,1,1002200029,0,33,982156,202460,12a, ,101N042,10105,E-257,0, ,1, , ,17V1.1,0,195.0341687,1602.782205,349129,0,1,1662,1661,9,2025,11.22399998,12.01333332,0.789333344,11.31170368,0.248063538,101.8053331 +1662,MN,772,81,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,254 8 AVENUE,C2-7A, , , , , , , , , ,N,S9,4,0, ,MARED ESTATES LLC,1174,4660,2330,2330,1165,1165,0,0,0,0,2,1,4,3,5,19.75,59.42,19.75,59, ,3,N,3,5,350376,809679,0,0,1910,1982,2009, , ,3.97,7.52,2,7.5,1,1007720081,0,91,984709,210720,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,163.8962875,1293.897521,459303,2,0,1663,1662,5,1125,22.16600037,22.62088966,0.454889297,22.25697823,0.181955719,111.2848911 +1663,MN,454,31,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,342 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"PERFECT 13 REALTY,",2891,11035,0,11035,0,0,0,0,0,0,2,1,5,22,22,28,103.25,28,81, ,3,N,5,2,205200,1390050,0,0,1900,0,0, , ,3.82,4,0,4,1,1004540031,0,40,988697,205520,12c, ,102 027,10205, ,0, ,1, , 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,17V1.1,0,235.1995656,2338.695106,968850,13,0,1666,1665,10,2250,33.47900009,37.30333328,3.824333191,33.86143341,1.147299957,338.6143341 +1666,MN,589,41,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,305 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K2,5,0, ,305 SIXTH AVENUE REAL,1260,2015,2015,0,0,2015,0,0,0,0,2,1,2,0,1,18,70,18,45,E,0,N,5,5,283500,1427400,0,0,1910,0,0,Greenwich Village Historic District Exte, ,1.6,3.44,0,6.5,1,1005890041,0,67,983703,205518,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,188.7072718,1473.853592,1143900,9,0,1667,1666,6,1350,15.87222195,15.87222195,0,15.87222195,0,95.23333168 +1667,MN,896,1,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,125 3 AVENUE,C1-9A, , , , , , , , , ,N,H8,8,0,P,CORAL CRYSTAL LLC,8060,113754,7000,0,0,7000,0,0,0,0,2,4,16,91,92,25,100,80,100, ,0,N,3,2,1165500,19249650,0,0,1999,0,0, , ,14.11,10,2,10,1,1008960001,0,48,987931,206464,12c, ,102 036,10308,E-68,0, ,1, , 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,17V1.1,0,136.1847916,1036.681116,251547,13,0,1670,1669,4,900,39.07888794,39.21699905,0.138111115,39.17244339,0.056441977,156.6897736 +1670,MN,494,40,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,39 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C0,2,0,P,39 SPRING ST OWNERS C,3403,9000,0,9000,0,0,0,0,0,0,2,1,3,3,3,26.92,126.42,27,120, ,3,Y,5,5,46223,114295,0,0,1900,0,0, , ,2.64,6.02,6,6.5,1,1004940040,0,43,985409,202329,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,304.7206254,3199.165858,68072,0,0,1671,1670,15,3375,38.86500168,38.86500168,0,38.86500168,0,582.9750252 +1671,MN,147,7507,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,60 THOMAS STREET,C6-2A, , , , , , , , , ,N,R1,2,0, , ,2510,11083,0,11083,0,0,0,0,0,0,2,1,6,6,6,25.04,100.58,25,100.58, ,0,Y,0,5,74014,726924,2360,2360,1920,0,0,Tribeca South Historic District, ,4.42,6.02,6,6.5,1,1001477507,1266,33,982209,200364,12a, ,11S 036,10104, ,1001470023,12/17/2002,1, , ,17V1.1,7,260.3388446,2561.977509,652910,14,0,1672,1671,11,2475,12.94333363,12.94333363,0,12.94333363,0,142.3766699 +1672,MN,764,24,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,225 WEST 14 STREET,C6-2A, , , , , , , , , ,N,D9,3,0,P,14-15 STREET ASSOCIAT,3850,17424,1350,16074,0,1350,0,0,0,0,2,1,5,28,29,50,77.5,50,64, ,3,N,5,1,371700,2610900,0,0,1928,1988,0, , ,4.53,6.02,6,6.5,1,1007640024,0,81,984050,208607,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,268.4725279,4209.060366,2239200,7,0,1673,1672,18,4050,24.42199898,25.84111023,1.419111252,24.54283852,0.342434477,441.7710934 +1673,MN,871,29,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,131 EAST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,131 EAST 15TH ST ETC,2581,8104,0,8104,0,0,0,0,0,0,2,1,5,13,13,25,103.25,25,86,E,3,N,5,2,103050,975150,4720,4720,1920,1984,0, , ,3.14,4,0,4,1,1008710029,0,50,987689,206915,12c, ,102 035,10307, ,0, ,1, , 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,17V1.1,0,90.24099546,492.2311775,35180,11,0,1682,1681,3,675,34.88199997,35.90155411,1.019554138,35.22185135,0.48062243,105.665554 +1682,MN,746,24,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,323 WEST 22 STREET,R7B, , , , , , , , , ,N,A5,1,0, ,ROGER EHRENBERG AND C,2222,3800,0,3800,0,0,0,0,0,0,2,1,3,1,1,22.5,98.75,23,50,E,3,N,5,2,88496,299848,0,0,1900,0,0,Chelsea Historic District Extension, ,1.71,3,0,3,1,1007460024,0,93,984255,210809,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,245.0527848,2203.899364,211352,2,0,1683,1682,9,2025,15.97222233,19.84222221,3.869999886,17.41765436,1.648203917,156.7588892 +1683,MN,890,59,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,146 EAST 35 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,137 EAST 29TH & 146EA,2876,12000,0,12000,0,0,0,0,0,0,2,1,5,20,20,29.5,97.5,29.5,78, ,3,N,5,2,232650,1236600,0,0,1920,1987,0, , ,4.17,4,0,4,1,1008900059,0,72,990132,211293,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,260.2839593,2992.836834,1003950,10,0,1684,1683,12,2700,37.79100037,46.26889038,8.477890015,38.4974912,2.343165016,461.9698944 +1684,MN,279,7501,103,27,1006,2,1,10038,E009,5,14,7800,1,3, ,29 OLIVER STREET,R7-2, , , , , , , , , ,N,R1,2,0,P,OWNER / AGENT,1688,3240,0,3240,0,0,0,0,0,0,2,1,3,8,8,21.83,77,21.83,58.17, ,0,Y,5,5,37764,169348,4720,4720,1900,0,0, , ,1.92,3.44,0,6.5,1,1002797501,155,27,984779,198746,12d, ,101S029,10107, ,1002790004,11/29/1984,1, , ,17V1.1,7,194.2584382,1655.966785,131584,16,0,1685,1684,7,1575,16.83866692,17.07600021,0.237333298,16.97428594,0.117449523,118.8200016 +1685,MN,551,11,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,22 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,O2,5,0,X,NEW YORK UNIVERSITY,3735,15430,15430,0,15430,0,0,0,0,0,2,2,3.5,0,1,27.92,134.58,27.94,126,E,3,Y,5,2,540000,2039850,540000,2039850,1925,2008,0,Greenwich Village Historic District, ,4.13,2.43,0,4.8,1,1005510011,0,63,984852,206016,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,332.4606331,3770.781014,1499850,8,0,1686,1685,16,3600,21.12199974,24.65666771,3.534667969,21.81894422,1.200183351,349.1031075 +1686,MN,621,68,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,65 CHARLES STREET,R6, , , , , , , , , ,N,B1,1,0,X,LAW CENTER FOUNDATION,1900,5440,0,4080,0,0,0,0,0,0,2,1,3,2,2,20,95.25,20,68,E,3,N,5,1,66155,298598,66155,298598,1905,1989,1994,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1006210068,0,73,983190,207055,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,239.170252,2053.067121,232443,8,0,1687,1686,9,2025,24.81222343,26.36000061,1.547777176,25.43926006,0.705458747,228.9533405 +1687,MN,107,31,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,252 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,O8,5,0,P,252 FRONT ST LLC,1737,7774,4667,3107,4667,0,0,0,0,0,2,1,5,2,5,23.46,72.58,23,71, ,3,Y,5,2,360000,549450,0,0,1880,0,0,South Street Seaport Historic District, ,4.48,6.02,6,6.5,1,1001070031,0,1501,983998,197341,12d, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,198.5726582,1781.024991,189450,4,1,1688,1687,7,1575,6.207777977,6.215000153,0.007222176,6.213968413,0.002527235,43.49777889 +1688,MN,700,42,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,512 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0, ,KADIMA TENTH AVENUE S,4937,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,50,98.75,0,0, ,3,N,5,2,608400,4203900,0,0,2014,0,0, , ,54.6,7.52,6,10,1,1007000042,0,99,983574,213113,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,303.1483239,5078.698872,3595500,6,1,1689,1688,22,4950,11.49300003,13.08222294,1.589222908,11.63941422,0.426677228,256.0671129 +1689,MN,231,5,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,309 CANAL STREET,M1-5B, , , , , , , , , ,N,D5,3,0, ,"309 CANAL, LLC",6007,30000,6000,24000,0,6000,0,0,0,0,2,1,5,18,21,49.58,129.83,49,130, ,2,Y,3,2,477000,8593650,0,0,1915,2009,2006,SoHo-Cast Iron Historic District, ,4.99,0,5,6.5,1,1002310005,0,47,983627,201617,12a, ,101N046,10105,R-131,0, ,1, , ,17V1.1,0,367.8183396,6911.913565,8116650,0,1,1690,1689,30,6750,11.6922226,13.44444466,1.752222061,12.83237069,0.264746916,384.9711208 +1690,MN,593,47,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,16 GAY STREET,R6, , , , , , , , , ,N,C3,2,0, ,EDMOND MARTIN REAL ES,622,1380,0,1380,0,0,0,0,0,0,2,1,3,4,4,17.92,45.67,18,25, ,3,Y,5,5,103571,192875,0,0,1910,0,0,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1005930047,0,71,984109,206578,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,112.5060978,573.4975567,89304,8,0,1691,1690,3,675,17.50333405,17.50333405,0,17.50333405,0,52.51000214 +1691,MN,498,7502,102,49,1004,2,1,10012,L020,1,15,6800,1,2, ,543 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, ,543 BROADWAY CORP.,5000,50374,7998,42376,0,7998,0,0,0,0,2,1,10,18,19,25,200,25,198, ,3,N,0,5,434250,12797550,76310,76310,1903,0,0, , ,10.07,0,5,6.5,1,1004987502,2249,49,984565,202927,12c, ,101N072,10206, ,1004980017,12/22/2011,1, , ,17V1.1,7,465.4859358,5193.751431,12363300,0,0,1692,1691,23,5175,29.75499916,30.15222168,0.397222519,29.77226971,0.081006033,684.7622032 +1692,MN,224,7501,101,39,1008,2,1,10013,L008,1,15,7700,3,1, ,131 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,1553,8371,3009,5362,0,3009,0,0,0,0,2,1,6,4,6,25.8,60.2,0,0, ,0,N,0,5,77979,770055,2360,2360,1920,0,0,Tribeca North Historic District, ,5.39,6.02,6,6.5,1,1002247501,940,39,981569,203046,12a, ,101N040,10105, ,1002240026,12/24/1996,1, ,1,17V1.1,7,175.8905163,1627.800524,692076,0,1,1693,1692,8,1800,8.210000038,10.65999985,2.449999809,8.609111071,0.801789381,68.87288857 +1693,MN,848,4,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,125 5 AVENUE,C6-4M, , , , , , , , , ,N,O5,5,0, ,125 FIFTH AVENUE ASSO,4500,21060,21060,0,12636,8424,0,0,0,0,2,1,5,0,6,45,100,45,100, ,3,Y,5,2,630000,5862150,0,0,1925,0,0,Ladies' Mile Historic District, ,4.68,10,10,10,1,1008480004,0,52,986784,208606,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,301.3661537,4724.410204,5232150,7,0,1694,1693,21,4725,40.11444473,41.39699936,1.282554626,41.22483553,0.422333749,865.7215462 +1694,MN,772,3,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,240 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,JBE CORPORATION,1343,4883,1600,3283,0,1600,0,0,0,0,2,1,4,6,7,19.67,68,20,68,E,3,N,5,2,124948,408088,0,0,1901,1988,0, , ,3.64,4,2,4,1,1007720003,0,91,984645,210594,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,178.6647588,1336.074699,283140,2,0,1695,1694,6,1350,22.16600037,22.24977875,0.083778381,22.17996343,0.031222359,133.0797806 +1695,MN,925,46,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,342 EAST 20 STREET,R8B, , , , , , , , , ,N,M9,8,0,X,"MACHNE ISRAEL, INC.",1840,4400,4400,0,4400,0,0,0,0,0,2,1,4,0,1,20,92,20,48, ,3,N,5,0,204750,502650,204750,502650,1910,0,0, , ,2.39,4,0,4,1,1009250046,0,64,989591,207106,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,232.4236685,1887.445833,297900,5,0,1696,1695,9,2025,15.27999973,17.43000031,2.150000572,15.8802469,0.882258782,142.9222221 +1696,MN,630,38,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,260 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0, ,260 W 10 ST HOUSING C,2880,9984,0,9984,0,0,0,0,0,0,2,1,5,10,10,83,75,41,75, ,2,Y,3,2,324138,972598,14980,14980,1910,1975,0,Greenwich Village Historic District, ,3.47,2.43,0,4.8,1,1006300038,0,75,982282,206518,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,314.3960785,2936.241506,648460,9,0,1697,1696,13,2925,18.16222191,20.87666702,2.714445114,19.14546981,1.244968693,248.8911076 +1697,MN,802,1,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,283 7 AVENUE,M1-6, , , , , , , , , ,N,D5,3,0, ,"177 WEST 26 REALTY, L",4942,25144,4000,21144,0,4000,0,0,0,0,2,1,6,15,18,49.42,100,44,100, ,2,N,3,2,675000,2803950,0,0,1920,1988,1997, , ,5.09,0,10,10,1,1008020001,0,95,985951,211061,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,298.9644341,4924.148634,2128950,2,0,1698,1697,21,4725,32.50999832,32.50999832,0,32.50999832,0,682.7099648 +1698,MN,494,39,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,37 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"37 SPRING STREET, INC",2080,7330,750,6580,0,750,0,0,0,0,2,1,5,15,16,27,81,27,57, ,3,Y,5,2,57600,968400,0,0,1900,0,0, , ,3.52,6.02,6,6.5,1,1004940039,0,43,985426,202295,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,215.5375587,2135.395226,910800,0,0,1699,1698,10,2250,38.86500168,38.86500168,0,38.86500168,0,388.6500168 +1699,MN,454,65,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,311 EAST 12 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,"311 EAST 12TH, LLC",2065,4000,0,4000,0,0,0,0,0,0,2,1,3,4,4,20,103.25,20,51, ,3,N,5,5,134279,182449,0,0,1900,0,0, , ,1.94,4,0,4,1,1004540065,0,40,988386,205570,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,254.6479355,2169.757263,48170,12,0,1700,1699,10,2250,22.37666702,26.71222115,4.335554123,24.25251102,2.006749812,242.5251102 +1700,MN,634,8,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,134 BANK STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,"CAVANAUGH, MARCH A",1026,1728,0,1728,0,0,0,0,0,0,2,1,3,1,1,18,57,18,32, ,3,Y,5,2,23710,75960,0,0,1899,0,0,Greenwich Village Historic District, ,1.68,4,2,4,1,1006340008,0,75,982020,207453,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,147.2443515,966.7102116,52250,9,0,1701,1700,5,1125,13.33333302,15.60333347,2.270000458,13.78733311,0.908000183,68.93666554 +1701,MN,241,18,103,7,1032,2,1,10005,L015,1,15,7700,1,1,1B,42 SOUTH STREET,M1-4, , , , , , , , , ,N,T2,7,0,C,NYC PARKS,137575,111125,111125,0,0,0,0,0,0,111125,2,1,2,0,1,641,200.83,620,152, ,1,Y,2,0,1876500,8659350,1876500,8659350,1963,0,0, , ,0.81,0,2,6.5,1,1002410018,0,7,0,0,12d, ,101N108,10106, ,0, ,1,1,1,17V1.1,0,1518.362553,89349.32292,6782850,16,1,1702,1701,349,78525,1.139999866,9.130000114,7.990000248,1.191814576,0.569337929,415.9432869 +1702,MN,101,2,101,15.01,1003,2,1,10038,E006,1,15,7700,1,1, ,39 PARK ROW,C6-4, , , , , ,LM, , , ,N,W6,8,0,X,PACE COLLEGE,7865,125840,125840,0,125840,0,0,0,0,0,2,1,16,0,1,102.92,104,102,104, ,2,Y,3,2,2637000,10868400,2637000,10868400,1900,1928,0, ,HISTORIC STREET LAMPPOSTS,16,10,10,10,1,1001010002,0,1501,982535,198556,12b, ,101S019,10103, ,0, ,1, , ,17V1.1,0,357.7541027,7695.015758,8231400,0,0,1703,1702,33,7425,39.09199905,40.02999878,0.937999725,39.20203955,0.250681521,1293.667305 +1703,MN,227,1,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,381 CANAL STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,SILKALY M. WOLCHOK L.,1138,4552,1138,3414,0,1138,0,0,0,0,2,1,4,3,5,21.67,82.25,22,80, ,2,Y,3,5,582538,791524,0,0,1920,0,0, , ,4,0,5,6.5,1,1002270001,0,47,982978,202185,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,192.5527391,1185.757846,208986,0,1,1704,1703,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +1704,MN,445,50,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,73 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"EAST END ASSOCIATES,",2404,11025,0,11025,0,0,0,0,0,0,2,1,6,24,24,25,96.17,25,80, ,3,N,5,2,250200,1587150,0,0,1900,1988,0, , ,4.59,4,0,4,1,1004450050,0,38,987455,203493,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,249.2083335,2504.347564,1336950,1,0,1705,1704,12,2700,29.97444344,31.45111084,1.476667404,30.09749905,0.40812931,361.1699886 +1705,MN,823,55,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,20 WEST 22 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,ELK REALTY LLC,10253,169887,169887,0,144393,25494,0,0,0,0,2,1,16,0,88,103.83,98.75,104,97,E,3,N,5,2,2700000,16336350,0,0,1910,1990,0,Ladies' Mile Historic District, ,16.57,10,10,10,1,1008230055,0,58,986579,209343,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,410.9778648,10554.56814,13636400,7,0,1706,1705,46,10350,33.74333191,37.29666901,3.553337097,33.88654211,0.673891286,1558.780937 +1706,MN,498,18,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,541 BROADWAY,M1-5B, , , , , , , , , ,N,D4,3,0, ,NOH REALTY CORP,7511,35735,15000,20735,0,15000,0,0,0,0,2,1,5,11,13,37.5,200,37,199, ,3,N,5,2,337950,8933400,42860,42860,1909,0,0,SoHo-Cast Iron Historic District, ,4.76,0,5,6.5,1,1004980018,0,49,984548,202901,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,490.5876615,7801.066512,8595450,0,0,1707,1706,35,7875,29.46222305,29.77388763,0.311664581,29.7471738,0.048969773,1041.151083 +1707,MN,722,10,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,451 WEST 24 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,451 WEST 24TH STREET,2057,3360,0,2520,0,0,0,0,0,0,2,1,3,1,1,20.83,98.75,20.83,42, ,3,N,5,1,93144,155312,0,0,1910,2008,2008, ,451 WEST 24TH STREET HOUSE,1.63,3,0,3,1,1007220010,0,93,983479,211872,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,248.3008232,2196.415011,62168,2,1,1708,1707,9,2025,10.68099976,11.69222164,1.011221886,10.84176519,0.329943723,97.57588673 +1708,MN,29,1,101,9,1010,2,1,10004,L015,1,15,7700,1,1, ,85 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0, ,85 BROAD PROPCO LLC,42762,993570,993569,0,993569,0,0,0,0,0,2,1,31,0,1,236.09,290.7,115,246, ,1,Y,3,2,40500000,87402600,0,0,1983,0,0, , ,23.23,10,15,15,1,1000290001,0,9,981185,195760,12b, ,101S002,10101, ,1000290001,10/15/2008,1,1,1,17V1.1,0,992.5697948,58072.15797,46902600,17,1,1709,1708,257,57825,6.517333508,11.45111084,4.933777332,7.911786738,0.986889399,2033.329192 +1709,MN,519,12,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,54 KING STREET,R6,M1-6, , , , ,HSQ, , , ,Y,B2,1,0, ,RIMA 54 LLC,2094,4166,0,3188,0,0,0,0,0,0,2,1,4,2,2,20.83,100.5,20.83,40, ,2,N,5,1,39667,180186,0,0,1899,2005,2013,Charlton-King-Vandam Historic District, ,1.99,2.43,0,4.8,1,1005190012,0,37,982892,204361,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,249.0649039,2258.784755,140519,9,0,1710,1709,10,2250,16.83888817,20.38000107,3.5411129,18.12366638,1.582386646,181.2366638 +1710,MN,544,7503,102,57,2004,2,2,10003,E033,9,15,5700,2,2, ,38 COOPER SQUARE,M1-5B, , , , , , , , , ,N,RC,5,0, , ,19930,100754,100754,0,6492,0,0,6870,0,87392,2,3,4,0,6,177.44,95.58,177.44,95.58, ,0,Y,0,5,1408049,6913915,1064063,4131483,1930,0,0, , ,5.06,0,5,6.5,1,1005447503,2413,57,986615,204736,12c, ,100 000,10207, ,1005440038,9/9/2013,1, , ,17V1.1,7,594.2396998,19890.59567,5505870,9,0,1711,1710,90,20250,40.7820015,40.7820015,0,40.7820015,0,3670.380135 +1711,MN,377,7503,103,26.02,1001,1,2,10009,L011,9,14,6700,4,3, ,101 AVENUE D,R8A,R8B, , ,C1-5, , , , , ,Y,RM,4,0, , ,15153,107740,43833,63907,0,4639,0,0,0,39194,2,1,12,17,80,98.5,115,98.5,115, ,0,Y,0,2,1022850,14721620,394286,14081198,2010,0,0, , ,7.11,6,0,6,1,1003777503,2144,2602,990742,202870,12c, ,102 023,10202, ,1003770042,6/29/2010,1, ,1,17V1.1,7,636.9140771,15736.67457,13698800,12,1,1712,1711,70,15750,9.236666679,15.53111172,6.294445038,11.91071427,1.252213143,833.749999 +1712,MN,227,52,102,47,2006,2,1,10013,L008,1,15,6800,1,2,1A,27 GRAND STREET,M1-5B, , , , , , , , , ,N,HB,5,0, ,PR GRAND HOTEL OWNERC,9676,55479,0,0,0,0,0,0,0,0,2,1,18,0,1,57,141.82,89.37,113, ,1,N,5,2,3699000,14181750,0,0,2008,0,0, , ,5.73,0,5,6.5,1,1002270052,0,47,982900,202535,12a, ,101N042,10105, ,1002270056,10/5/2009,1,1,1,17V1.1,0,460.8166305,10107.23514,10482800,0,1,1713,1712,44,9900,9.686666489,9.686666489,0,9.686666489,0,426.2133255 +1713,MN,162,37,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,10 CHATHAM SQUARE,C6-1G, , , , , ,TA, , , ,N,O5,5,0, ,"9-10 CHATHAM, LLC",1627,11000,11000,0,9200,1800,0,0,0,0,2,1,6,0,2,20.08,79.92,20,79, ,0,Y,5,2,186300,659250,0,0,1920,0,0, , ,6.76,3.44,6,6.5,1,1001620037,0,29,984801,199427,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,206.9294288,1731.968502,472950,16,0,1714,1713,7,1575,30.90500069,30.90500069,0,30.90500069,0,216.3350048 +1714,MN,615,17,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,260 WEST 12 STREET,R6, , , , , , , , , ,N,B3,1,0, ,STUART GELWARG AS TRU,1743,3520,0,2640,0,0,0,0,0,0,2,1,3,2,2,20.67,83.75,20.67,44, ,3,Y,5,1,25519,114661,0,0,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006150017,0,77,983413,207934,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,213.5347919,1786.531564,89142,8,0,1715,1714,8,1800,23.05999947,23.68222237,0.6222229,23.13777733,0.205780882,185.1022186 +1715,MN,834,35,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,9 WEST 32 STREET,C6-4, , , , , , , , , ,N,C5,2,0,P,BEAUTRI REALTY CORP,2469,10000,4900,5100,0,4900,0,0,0,0,2,1,5,12,14,25,98.75,25,95,E,3,N,5,2,292500,968850,0,0,1925,1988,0, , ,4.05,10,10,10,1,1008340035,0,76,988097,211667,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,254.1358729,2501.109199,676350,10,0,1716,1715,12,2700,45.84899902,45.84899902,0,45.84899902,0,550.1879883 +1716,MN,924,24,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,339 EAST 18 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"FINGESTEN, ALEXANDRA",1840,4080,0,4080,0,0,0,0,0,0,2,1,3,3,3,20,92,20,50,E,3,N,5,5,131761,186390,0,0,1901,0,0, , ,2.22,3,0,3,1,1009240024,0,48,989392,206828,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.5956639,1866.117028,54629,5,0,1717,1716,8,1800,14.83555603,17.21622086,2.380664825,15.73577785,0.807394072,125.8862228 +1717,MN,615,5,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,309 WEST 4 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"SUZANNE V. GEORGES,",1503,3540,0,3540,0,0,0,0,0,0,2,1,2.5,4,4,20,75.17,20,48,E,3,N,5,5,284780,478124,0,0,1910,2003,0,Greenwich Village Historic District, ,2.36,2.43,0,4.8,1,1006150005,0,77,983257,207852,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,193.8388693,1493.694658,193344,8,0,1718,1717,6,1350,23.05999947,23.38999939,0.329999924,23.11499945,0.12298371,138.6899967 +1718,MN,829,16,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,31 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,"31 W27ST 9 OWNER, LLC",9876,106800,106800,0,96800,10000,0,0,0,0,2,1,12,0,15,100,98.75,100,89,E,3,N,5,2,2700000,13593600,0,0,1910,1987,0,Madison Square North Historic District, ,10.81,0,10,10,1,1008290016,0,58,987162,210716,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,402.8095679,10138.25535,10893600,2,0,1719,1718,46,10350,42.75111008,42.75111008,0,42.75111008,0,1966.551064 +1719,MN,897,66,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,218 EAST 17 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,ANGELOS MILAS REVOCAB,1520,4332,0,4332,0,0,0,0,0,0,2,1,4,9,9,19,80,19,54, ,2,N,5,2,71953,338839,5130,5130,1910,1981,0,Stuyvesant Square Historic District, ,2.85,3,0,3,1,1008970066,0,48,988408,206933,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,210.333488,1726.749163,266886,5,0,1720,1719,8,1800,25.1044445,27.62888908,2.52444458,25.51041675,0.834979333,204.083334 +1720,MN,622,32,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,395 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,SALLY CARTWRIGHT,1425,3288,0,3288,0,0,0,0,0,0,2,1,4,1,2,19.5,75.33,19.5,40, ,3,Y,5,2,40706,182198,0,0,1899,2016,2016,Greenwich Village Historic District, ,2.31,3.44,2,6.5,1,1006220032,0,73,982910,207325,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,196.3627126,1550.485771,141492,8,0,1721,1720,7,1575,24.5988884,26.2211113,1.6222229,24.97793606,0.619799116,174.8455524 +1721,MN,306,6,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,72 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,MS FORSYTH LLC,2510,10060,2012,8048,0,2012,0,0,0,0,2,1,5,18,20,25.08,100.25,25,79, ,3,N,5,2,90000,776700,0,0,1900,0,0, , ,4.01,3.44,6,6.5,1,1003060006,0,16,986134,200526,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,255.5935331,2620.085028,686700,13,0,1722,1721,12,2700,37.59777832,40.22888947,2.631111145,37.83021355,0.724536145,453.9625626 +1722,MN,355,69,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,155 SUFFOLK STREET,R7A, , , , , , , , , ,N,L8,6,0, ,BARRETT JAPANING INC,2500,11500,11500,0,9000,2500,0,0,0,0,2,1,5,0,5,25,100,25,93, ,3,N,5,2,198000,1155600,0,0,1920,0,0, , ,4.6,4,0,4,1,1003550069,0,3001,988290,201900,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,256.3571948,2566.318461,957600,1,0,1723,1722,11,2475,23.94333458,27.32999992,3.386665344,24.25121325,0.973597833,266.7633457 +1723,MN,133,7505,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,41 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,3757,21292,7878,13414,0,0,0,0,0,7878,2,1,7,6,8,49.87,75.52,0,0, ,0,N,3,5,232941,2254411,0,0,1910,0,0,Tribeca South Historic District Extensio, ,5.67,7.52,6,7.5,1,1001337505,2010,21,981786,199540,12b, ,101S017,10104, ,1001330026,12/20/2001,1, , ,17V1.1,7,262.1071561,4077.151824,2021470,3,0,1724,1723,18,4050,25.60300064,28.6855545,3.082553864,25.77425363,0.706094176,463.9365654 +1724,MN,818,73,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,40 WEST 17 STREET,C6-4A, , , , , , , , , ,N,D0,3,0, ,42 WEST 17TH STREET C,4600,49520,5940,43580,0,2970,0,0,0,2970,2,1,12,21,23,50,92,50,82, ,3,N,5,1,531000,5877000,11800,11800,1910,1981,1921,Ladies' Mile Historic District, ,10.77,10,10,10,1,1008180073,0,54,985799,208370,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,303.2729559,5160.900324,5346000,7,0,1725,1724,23,5175,31.11599922,35.20555496,4.08955574,31.64118758,1.201541029,727.7473145 +1725,MN,590,15,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,26 JONES STREET,R6, , , , , , , , , ,N,C6,2,0, ,GREENWICH HOUSE COOP,2055,3558,0,3558,0,0,0,0,0,0,2,1,3,3,3,21.08,97.5,21,64,E,3,N,5,1,109410,260646,786,786,1921,0,0,Greenwich Village Historic District Exte,26 JONES STREET HOUSE,1.73,2.43,0,4.8,1,1005900015,0,67,983508,205867,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,237.6092935,1976.08257,151236,9,0,1726,1725,8,1800,17.54000092,17.87400055,0.333999634,17.58175087,0.110459996,140.654007 +1726,MN,746,72,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,356 WEST 23 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,354-356 W 23 STREET C,2469,8445,0,8445,0,0,0,0,0,0,2,1,5,14,14,25,98.75,25,96,E,3,N,5,2,144000,997200,38048,38048,1910,1972,0, , ,3.42,4,2,4,1,1007460072,0,93,984021,211057,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,258.4743222,2469.697454,853200,2,0,1727,1726,12,2700,15.97222233,17.36000061,1.387778282,16.19277803,0.477274998,194.3133364 +1727,MN,292,25,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,13 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"13 ELDRIDGE REALTY, I",2500,12084,2000,10084,0,2000,0,0,0,0,2,1,6,12,14,25,100,25,80,E,0,N,5,5,112500,1017000,0,0,1900,0,0, , ,4.83,3.44,6,6.5,1,1002920025,0,16,985930,199718,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,259.6457576,2607.753091,904500,16,0,1728,1727,11,2475,39.91899872,41.92621994,2.007221222,40.10147337,0.57703553,441.1162071 +1728,MN,915,56,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,210 EAST 35 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,210 E. 35TH ST. CORP.,2469,9342,0,9342,0,0,0,0,0,0,2,1,5,11,11,25,98.75,25,43, ,3,N,5,1,251100,1124100,0,0,1920,1964,2008, , ,3.78,4,0,4,1,1009150056,0,78,990573,211049,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,252.0417044,2514.854242,873000,10,0,1729,1728,12,2700,26.35000038,29.82999992,3.479999542,28.02492587,1.055363137,336.2991104 +1729,MN,579,74,102,37,3003,2,3,10013,E024,1,15,6800,1,2,1B,275 SPRING STREET,M1-6, , , , , ,HSQ, , , ,N,Z9, ,0, ,TRINITY CHURCH CP,13287,0,0,0,0,0,0,0,0,0,7,1,4,0,1,65.33,114,0,18, ,0,Y,5,5,855000,1033650,0,0,1900,0,0, , ,0,0,10,10,1,1005790074,0,37,982411,203775,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,574.6826583,13474.89657,178650,0,0,1730,1729,61,13725,17.60700035,19.18666649,1.579666138,18.68004014,0.431051992,1139.482449 +1730,MN,846,30,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1B,33 EAST 17 STREET,C6-4A,M1-5M,C6-4, , , ,US, , , ,Y,K4,4,0,P,"LTS CENTURY BUILDING,",16825,120822,120822,0,70602,50220,0,0,0,0,2,1,7,0,2,71.5,184,72,184, ,0,Y,4,5,3807000,17864100,0,0,1935,1994,0, ,THE CENTURY BUILDING,7.18,10,10,10,1,1008460030,0,52,987190,207867,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,623.6008336,17441.76479,14057100,7,0,1731,1730,76,17100,41.32422256,41.51599884,0.191776276,41.51347547,0.021853043,3155.024136 +1731,MN,614,53,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,3B,8 BANK STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,CJ-EIGHT HOLDING LLC,900,3300,0,3300,0,0,0,0,0,0,2,1,5,4,4,15,60,15,44, ,3,N,5,5,201944,338839,0,0,1915,0,0,Greenwich Village Historic District, ,3.67,3.44,2,6.5,1,1006140053,0,77,983746,207773,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,155.5731231,924.8628131,136895,8,0,1732,1731,4,900,25.32666588,25.95100021,0.624334335,25.63372183,0.307141019,102.5348873 +1732,MN,297,37,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,37 CANAL STREET,C6-2, , , , , , , , , ,N,C4,2,0,P,AARON FRIEDMAN-TRUSTE,1240,6160,1254,4906,0,1254,0,0,0,0,2,1,5,4,6,21.67,57.25,22,57, ,3,N,3,2,117960,642453,0,0,1920,1989,0, , ,4.97,6.02,6,6.5,1,1002970037,0,16,986764,199696,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,167.2381929,1376.578195,524493,13,0,1733,1732,6,1350,32.98300171,39.06888962,6.085887909,34.10374196,2.232690084,204.6224518 +1733,MN,849,7508,105,52,1000,2,2,10003,E014,13,15,5700,1,5, ,254 PARK AVENUE SOUTH,C6-4A,M1-5M, , , , , , , , ,Y,RM,4,0, ,254 PARK AVE SOUTH CO,11500,118055,11237,106818,0,11237,0,0,0,0,2,1,13,123,125,92,125,92,122, ,3,N,0,5,3757479,27483016,7080,7080,1913,1979,2008, , ,10.27,10,10,10,1,1008497508,2046,52,987588,208384,8d, ,102 044,1, ,1008490036,11/4/2009,1, , ,17V1.1,7,445.1142727,12165.89182,23725500,5,0,1734,1733,54,12150,34.69888687,34.74866867,0.049781799,34.69980876,0.006711425,1873.789673 +1734,MN,121,1,101,29,4019,2,1,10007,E006,5,15,7700,1,1,3B,1 CENTRE STREET,C6-4, , , , , , , , , ,N,O4,5,0,C,NYC DCAS,50184,1056600,1056600,0,1056600,0,0,0,0,0,2,2,39,0,1,327.07,182.11,327,182, ,1,Y,1,2,15615000,90986400,15615000,90986400,1914,2004,0, ,MUNICIPAL BUILDING,21.05,10,10,10,1,1001210001,0,29,983231,199032,12b, ,101S022,10104, ,1001210001,7/29/2010,1, , ,17V1.1,0,1037.103604,62385.60021,75371400,14,0,1735,1734,277,62325,30.25699997,37.85222244,7.595222473,31.97071135,1.908821955,8855.887045 +1735,MN,454,66,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,309 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,LEEDS HOUSE INC,4182,11054,0,11054,0,0,0,0,0,0,2,4,4,13,13,40.5,103.25,41,101, ,3,N,5,1,263250,1103400,4720,4720,1920,1980,0, ,"CHILDREN'S AID SOCIETY, ELIZABETH H",2.64,4,0,4,1,1004540066,0,40,988360,205584,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,292.9252433,4218.651667,840150,12,0,1736,1735,19,4275,22.37666702,25.19555664,2.818889618,22.65883084,0.823865227,430.517786 +1736,MN,742,38,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,169 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,169 EIGHTH AVENUE REA,2233,9185,1080,8105,0,1080,0,0,0,0,2,1,5,9,10,22.33,100,22,100,E,3,N,5,2,111818,534808,0,0,1910,1986,2010, , ,4.11,4,2,4,1,1007420038,0,89,984034,209863,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,245.4530077,2243.618952,422990,7,0,1737,1736,9,2025,15.59444427,18.05555534,2.461111069,15.86790106,0.773452589,142.8111095 +1737,MN,743,15,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,347 WEST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,347 W19 LLC,1397,2430,0,2430,0,0,0,0,0,0,2,1,3,8,8,21.83,64,22,36, ,3,N,5,1,49788,231803,0,0,1920,1964,0, , ,1.74,3,0,3,1,1007430015,0,89,983701,210244,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,177.6006542,1487.433806,182015,7,0,1738,1737,6,1350,15.57888889,16.48400116,0.905112267,15.78400024,0.33486087,94.70400143 +1738,MN,863,6,105,74,1002,2,4,10016,L024,14,15,5200,1,5,1A,1 EAST 33 STREET,C5-2, , , , , , , , , ,N,O6,5,0,P,"ROSEN, GLUCK & MAY,LT",12343,127866,127866,0,112866,15000,0,0,0,0,2,1,12,0,22,125,98.75,125,100,E,3,N,5,2,4860000,11795850,0,0,1913,1986,0, , ,10.36,10,10,10,1,1008630006,0,74,988610,211676,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,449.2274671,12461.33432,6935850,10,0,1739,1738,57,12825,47.61944199,54.13000107,6.510559082,50.85572607,2.560599147,2898.776386 +1739,MN,465,13,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,112 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,112 EAST 10TH LLC,1128,4990,0,4990,0,0,0,0,0,0,2,1,5,5,5,18,64.08,18,54, ,3,Y,5,5,118778,161599,0,0,1900,0,0,St. Mark's Historic District, ,4.42,4,0,4,1,1004650013,0,40,987459,205332,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,163.2657839,1123.465957,42821,12,0,1740,1739,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +1740,MN,162,14,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,26 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,26 MOTT ST CORP,2321,10058,1150,8908,0,1150,0,0,0,0,2,1,6,20,21,24,96.25,24,96, ,3,N,5,2,179100,534600,0,0,1910,1961,0, , ,4.33,3.44,6,6.5,1,1001620014,0,29,984651,199614,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,246.0891294,2376.270041,355500,14,0,1741,1740,11,2475,30.90500069,33.65999985,2.754999161,31.15545516,0.792006573,342.7100067 +1741,MN,404,43,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,325 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,KUSHNER VILLAGE 325 E,2370,11000,0,11000,0,0,0,0,0,0,2,2,5,18,18,25,94.75,25,44, ,2,N,5,2,112500,2055150,0,0,1900,1987,0,East 10th Street Historic District, ,4.64,4,0,4,1,1004040043,0,34,989605,204300,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,247.1154969,2533.374734,1942650,12,0,1742,1741,11,2475,12.53199959,12.98999977,0.458000183,12.57363597,0.131665795,138.3099957 +1742,MN,525,29,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,116 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,O9,5,0,P,Y & H REALTY CORP,5000,28500,23750,4750,19000,4750,0,0,0,0,2,1,6,1,7,50,100,50,95, ,3,N,5,2,675000,2767950,0,0,1900,2005,2006,South Village Historic District, ,5.7,3.44,0,6.5,1,1005250029,0,65,984008,204423,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,304.2754464,5106.833517,2092950,9,0,1743,1742,23,5175,23.62666702,23.62666702,0,23.62666702,0,543.4133415 +1743,MN,133,15,101,21,1005,2,1,10007,L010,1,15,7700,1,1,1A,57 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,K9,5,0,P,WARREN MURRAY PROPERT,11000,42277,13292,28985,2200,2175,0,0,0,0,2,6,2,27,37,75.67,175.83,25,87, ,3,Y,3,2,935550,5300100,0,0,1900,0,0, , ,3.84,6.02,6,6.5,1,1001330015,0,21,981565,199601,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,526.5053026,12171.02093,4364550,3,0,1744,1744,55,12375,21.89588928,25.60300064,3.707111359,25.4038733,0.722907234,1397.213032 +1744,MN,745,7504,104,89,5000,2,3,10011,L012,10,15,5600,1,4, ,182 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,RM,4,0, , ,1480,6233,3131,3102,0,3131,0,0,0,0,2,1,4,3,4,24.67,60,24.75,60, ,1,N,0,5,4648,273501,1028,2360,1910,2005,0,Chelsea Historic District Extension, ,4.21,3,0,3,1,1007457504,1529,89,983722,210796,8b, ,103 038,10303, ,1007450002,3/21/2006,1, , ,17V1.1,7,177.2815372,1579.092158,268853,7,0,1745,1745,7,1575,15.97222233,15.97222233,0,15.97222233,0,111.8055563 +1745,MN,644,30,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,817 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K4,4,0,P,817-33 WASHINGTON STR,6660,19406,19406,0,8626,10780,0,0,0,0,2,1,3,0,5,80.08,85.5,80.08,85.5, ,2,Y,3,2,1800000,8492400,0,0,1920,1945,2013,Gansevoort Market Historic District, ,2.91,0,5,6.5,1,1006440030,0,79,982098,208731,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,336.5373398,7056.898309,6692400,8,1,1746,1746,34,7650,12.49666691,13.47799969,0.981332779,13.38117616,0.267247782,454.9599895 +1746,MN,882,13,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,117 EAST 26 STREET,C4-5A, , , , , , , , , ,N,A4,1,0, ,ANTONIO ARAUJO,1407,3080,0,2310,0,0,0,0,0,0,2,1,3,1,1,14.25,98.75,14.25,55, ,3,N,5,1,71254,140671,1550,1550,1910,0,0, , ,2.19,4,4,4,1,1008820013,0,68,988696,209572,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,233.6474583,1579.112526,69417,11,0,1747,1747,7,1575,33.65222168,33.85400009,0.201778412,33.8251746,0.070607736,236.7762222 +1747,MN,417,60,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,189 ORCHARD STREET,C4-4A, , , , , , , , , ,N,D6,4,0,P,LUCKY OF 195 MADISON,2192,9975,2850,7125,0,1425,0,1425,0,0,2,1,6,10,12,25,87.67,25,57,E,2,N,5,2,246600,902700,0,0,1920,1996,0, , ,4.55,4,4,4,1,1004170060,0,3001,987463,202395,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,234.0125562,2423.908617,656100,1,0,1748,1748,11,2475,33.19499969,33.19499969,0,33.19499969,0,365.1449966 +1748,MN,564,20,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,49 EAST 12 STREET,C6-1, , , , , , , , , ,N,D0,3,0, ,49 EAST OWNERS INC,5538,33923,3404,30519,0,3404,0,0,0,0,2,1,7,42,43,46,101,46,120, ,3,Y,4,2,385200,3828150,43710,43710,1910,1979,0, , ,6.13,3.44,6,6.5,1,1005640020,0,61,986631,206542,12c, ,103 026,10207, ,0, ,1, , 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,17V1.1,7,286.7726944,4690.47685,2272050,14,0,1751,1751,22,4950,16.87599945,16.87599945,0,16.87599945,0,371.2719879 +1751,MN,832,6,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,866 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O6,5,0, ,SEROR ELIEZER,2870,32121,32121,0,29521,2600,0,0,0,0,2,1,12,0,13,41,70,41,70, ,2,N,5,2,603000,2828700,0,0,1914,1986,0, , ,11.19,10,10,10,1,1008320006,0,76,987270,211615,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,227.2098097,3009.369012,2225700,6,0,1752,1752,12,2700,42.28300095,43.25099945,0.967998505,42.97653707,0.405063344,515.7184448 +1752,MN,512,22,102,49,1003,2,1,10012,L020,1,15,6800,1,2,1A,577 BROADWAY,M1-5B, , , , , , , , , ,N,D7,4,0,P,577 ASSOCIATES LLC,4900,21852,9000,12852,0,9000,0,0,0,0,2,1,5,7,9,24,200,24,198, ,3,Y,4,2,160838,1459433,0,0,1900,2009,2015,SoHo-Cast Iron Historic District, ,4.46,0,5,6.5,1,1005120022,0,49,984820,203327,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,464.5674418,4953.058541,1298600,9,0,1753,1753,23,5175,34.46111298,36.86711121,2.40599823,36.32048748,0.408503826,835.371212 +1753,MN,412,46,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,176 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ITHILIEN REALTY CORP,4327,18960,3792,15168,0,3792,0,0,0,0,2,2,5,29,31,48.17,89.83,48,79, ,2,N,5,2,315000,1742400,0,0,1900,1966,0, , ,4.38,4,4,4,1,1004120046,0,3001,987777,202200,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,278.9109583,4398.460195,1427400,1,0,1754,1754,19,4275,30.23399925,30.23399925,0,30.23399925,0,574.4459858 +1754,MN,529,140,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,324 BOWERY,C6-1, , , , , , , , , ,N,S3,4,0, ,BOWERY CORNER OWNER L,1002,4009,1009,3000,0,1009,0,0,0,0,2,1,4,3,4,16.9,59.1,16.9,59.1, ,0,N,1,5,115729,242162,0,0,1920,0,0,Noho East Historic District, ,4,3.44,6,6.5,1,1005290140,0,5502,986345,203593,12c, ,103 010,10207, ,1005290043,10/11/2000,1, , ,17V1.1,0,156.4656305,1075.07857,126433,9,0,1755,1755,4,900,41.23199844,41.23199844,0,41.23199844,0,164.9279938 +1755,MN,764,15,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,241 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C0,2,0, ,"BURNTISLAND, LLC",3011,7830,0,6264,0,0,0,0,0,0,2,1,4,3,3,29.17,103.25,29.17,54,E,3,N,5,1,58411,169471,0,0,1930,2007,0, ,ANDREW NORWOOD HOUSE,2.6,6.02,6,6.5,1,1007640015,0,81,983906,208702,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,277.9362904,3042.867525,111060,7,0,1756,1756,13,2925,22.05333328,24.42199898,2.368665695,22.96435855,1.15236594,298.5366611 +1756,MN,590,61,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,19 BARROW STREET,R6,C2-6, , , , , , , , ,Y,C7,4,0, ,"SASSOUNI, RAFAEL",4100,8136,1020,7116,0,1020,0,0,0,0,2,1,4,11,12,50,81.83,25,34, ,3,N,5,2,450000,1510650,0,0,1900,1988,2014,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005900061,0,67,983495,206128,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,274.0576624,4421.162592,1060650,9,0,1757,1757,20,4500,19.74111176,23.56888962,3.827777863,20.3342783,1.159465569,406.6855659 +1757,MN,897,67,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,216 EAST 17 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,1991 BWAY LLC,1520,4332,0,4332,0,0,0,0,0,0,2,1,4,9,9,19,80,19,54, ,3,N,5,2,55965,263551,0,0,1930,0,0,Stuyvesant Square Historic District, ,2.85,3,0,3,1,1008970067,0,48,988391,206942,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,206.5575894,1567.620567,207586,5,0,1758,1758,7,1575,25.1044445,28.46111107,3.356666565,25.7807936,1.193035952,180.4655552 +1758,MN,470,50,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,146 BOWERY,C6-2G,C6-1G, , , , ,LI, , , ,Y,H3,5,0, ,9876 BOWERY REALTY CO,13045,36515,9928,0,800,9128,0,0,0,0,2,1,4,0,5,50.67,177.17,50.67,177.17, ,0,Y,3,5,3739500,7409700,0,0,1915,2013,0, , ,2.8,6.02,6,6.5,1,1004700050,0,41,985648,201419,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,574.9041575,13745.70906,3670200,0,0,1759,1759,62,13950,31.67711258,37.51222229,5.835109711,32.50339539,1.803738781,2015.210514 +1759,MN,850,63,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,18 EAST 22 STREET,M1-5M, , , , , , , , , ,N,O8,5,0, ,MILTON L EHRLICH INC,2600,8955,5500,3455,5500,0,0,0,0,0,2,1,5,2,4,26.33,98.75,26,68, ,3,N,5,2,375750,863550,0,0,1925,0,0, , ,3.44,0,5,6.5,1,1008500063,0,56,987414,208882,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,260.4196787,2727.73144,487800,11,0,1760,1760,12,2700,35.59999847,36.60666656,1.006668091,35.68388748,0.278228362,428.2066498 +1760,MN,230,7502,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,8 GREENE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2104,10798,2897,7901,0,2897,0,0,0,0,2,1,6,5,6,0.04,0,0,0, ,0,N,0,5,55049,682715,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,5.13,0,5,6.5,1,1002307502,1014,47,983491,201822,12a, ,100 000,10105, ,1002300012,12/29/1998,1, , ,17V1.1,7,248.3789599,2207.00488,627666,0,1,1761,1761,11,2475,11.39777756,11.39777756,0,11.39777756,0,125.3755531 +1761,MN,908,2,106,66,2001,2,2,10016,E016,13,14,5800,1,6,2A,377 3 AVENUE,C2-8, , , , , , , , , ,N,K4,4,0, ,CULINARY ASSOCIATES L,1365,2925,1500,1425,0,1500,0,0,0,0,2,1,3,1,3,19.5,70,19.5,40,E,0,N,5,5,176850,620100,0,0,1910,0,0, , ,2.14,10,2,10,1,1009080002,0,66,989531,209383,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,183.3012549,1434.762519,443250,11,0,1762,1762,6,1350,39.05888748,39.05888748,0,39.05888748,0,234.3533249 +1762,MN,769,7508,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,241 WEST 19 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,5955,27645,2394,25251,0,0,0,0,0,2394,2,2,12,19,20,45,91.67,45,60, ,3,Y,5,5,584999,4404601,0,790269,2006,0,0, , ,4.64,6.02,6,6.5,1,1007697508,1910,87,984545,209800,8d, ,103 034,10304, ,1007690014,9/24/2008,1, , ,17V1.1,7,336.4224759,5096.947153,3819600,7,0,1763,1763,23,5175,21.88888931,21.88888931,0,21.88888931,0,503.4444542 +1763,MN,879,27,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,143 EAST 23 STREET,C2-8A, , , , , , , , , ,N,D6,4,0, ,KENMORE ASSOCIATES LP,7702,101857,8100,93757,0,8100,0,0,0,0,2,1,22,326,327,78,98.75,78,98.75, ,0,N,5,2,1575000,8510400,1449000,7829568,1928,0,0, , ,13.22,10,2,10,1,1008790027,0,68,988679,208698,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,355.1745639,7754.304476,6935400,11,0,1764,1764,34,7650,26.06111145,27.21999931,1.158887863,26.09519639,0.195803057,887.2366772 +1764,MN,594,7503,102,37,1017,2,3,10013,L008,1,15,6800,1,2, ,505 GREENWICH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,11405,152309,2214,150095,0,0,0,0,0,2214,2,1,14,102,103,108.92,75,137,155, ,0,Y,0,5,992250,28504356,53615,357778,2003,0,0, , ,13.35,6.02,6,6.5,1,1005947503,1399,37,981812,203601,12a, ,11N 063,10208, ,1005940037,11/24/2004,1,1,1,17V1.1,7,637.3041971,18906.22358,27512100,0,1,1765,1765,84,18900,7.988888741,13.1422224,5.153333664,8.715730065,1.36412516,732.1213255 +1765,MN,886,58,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,140 EAST 31 STREET,R8B, , , , , , , , , ,N,D7,4,0, ,138-140 LLC,4148,21236,2520,18716,2520,0,0,0,0,0,2,1,6,33,34,42,98.75,42,75,E,2,N,5,2,360000,922050,0,0,1910,2010,2010, , ,5.12,4,0,4,1,1008860058,0,72,989614,210357,8d, ,104 019,10307, ,1008860058,12/31/2013,1, , ,17V1.1,0,289.5277222,4401.43031,562050,10,0,1766,1766,20,4500,28.17889023,29.26333427,1.084444046,28.2882123,0.289765155,565.764246 +1766,MN,494,9,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,240 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,MULBERRY REALTY,2481,10995,800,10195,0,800,0,0,0,0,2,1,6,21,23,25.17,98.58,25,68, ,3,N,5,2,67950,1262250,0,0,1901,2004,2015, , ,4.43,6.02,6,6.5,1,1004940009,0,43,985450,202604,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,259.8303255,2785.195052,1194300,0,0,1767,1767,12,2700,38.86500168,43.97000122,5.104999542,39.42805703,1.44293222,473.1366844 +1767,MN,572,13,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,58 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0, ,GREENWICH VILLAGE LLC,1565,3944,0,3944,0,0,0,0,0,0,2,1,4,1,1,16.67,93.92,17,58, ,3,N,5,2,63553,191955,0,0,1900,1987,0,Greenwich Village Historic District, ,2.52,2.43,0,4.8,1,1005720013,0,63,984637,206599,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.2257416,1648.293193,128402,8,0,1768,1768,8,1800,18.70499992,21.35888863,2.653888702,19.49326372,1.067767752,155.9461098 +1768,MN,444,38,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,41 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,BARAD (EAST 89) LTD,2429,8100,1620,6480,0,1620,0,0,0,0,2,1,5,13,14,24.92,100,25,66, ,3,N,5,2,382500,1170900,0,0,1900,1964,0, , ,3.33,4,0,4,1,1004440038,0,3602,987558,203184,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,255.6991775,2582.769672,788400,1,0,1769,1769,11,2475,30.95777702,34.21999741,3.262220383,31.45868596,1.084375819,346.0455456 +1769,MN,527,89,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,23 DOWNING STREET,R6, , , , , , , , , ,N,A7,1,0, ,"MILOU HOUSE, LLC",1307,2547,0,2547,0,0,0,0,0,0,2,1,4,1,1,18.67,70,18.67,40, ,3,N,5,2,55685,166610,0,0,2012,0,0,Greenwich Village Historic District Exte, ,1.95,2.43,0,4.8,1,1005270089,0,67,983356,205105,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,179.9261631,1249.408925,110925,9,0,1770,1770,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +1770,MN,792,20,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,125 WEST 16 STREET,R8A, , , , , , , , , ,N,D6,4,0,P,DRUCKNER 2 HOLDINGS L,9200,39504,900,38604,900,0,0,0,0,0,2,1,6,43,44,100,92,100,79, ,3,N,5,2,783000,2843100,0,0,1918,0,0, , ,4.29,6,0,6,1,1007920020,0,81,985079,208658,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,387.801623,9383.740439,2060100,7,0,1771,1771,41,9225,27.66555595,29.28766632,1.622110367,27.70511962,0.250222604,1135.909904 +1771,MN,230,32,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,29 MERCER STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,FREDERICK JOHN EVERSL,2483,11124,11124,0,0,0,0,11124,0,0,2,1,5,4,5,24.83,100,25,93,E,3,N,5,2,141750,838350,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,4.48,0,5,6.5,1,1002300032,0,47,983711,201973,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,258.3573762,2608.076839,696600,0,1,1772,1772,12,2700,11.39777756,11.39777756,0,11.39777756,0,136.7733307 +1772,MN,209,12,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,25 HOWARD STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,"HOWARD 25, LLC",2617,7125,7125,0,4750,2375,0,0,0,0,2,1,3,0,4,26.17,100,26,100,E,3,N,5,2,117900,889200,0,0,1915,1988,0,SoHo-Cast Iron Historic District Extensi, ,2.72,0,5,6.5,1,1002090012,0,45,984070,201347,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,258.7917648,2610.183274,771300,0,0,1773,1773,11,2475,11.84555531,16.84444427,4.998888969,12.29999976,1.437079538,135.2999973 +1773,MN,801,65,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,142 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,"BORDEN, MARK",4366,52543,3000,49543,0,3000,0,0,0,0,2,1,12,13,18,45.17,98.75,43,90, ,3,N,5,2,429300,5751900,9440,9440,1911,1980,0, , ,12.03,0,10,10,1,1008010065,0,91,986111,210825,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,285.0106503,4318.869823,5322600,2,0,1774,1774,19,4275,32.50999832,36.38888931,3.878890991,32.71415048,0.866144249,621.5688591 +1774,MN,911,61,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,449 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0, ,202 EAST 31ST HOLDING,1876,7455,1812,5643,0,1812,0,0,0,0,2,1,5,14,16,19.75,95,19.75,64, ,2,N,3,2,266850,703350,0,0,1910,1995,0, , ,3.97,10,2,10,1,1009110061,0,70,989993,210193,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,240.0784706,2102.52559,436500,10,0,1775,1775,10,2250,29.22888947,31.00777817,1.778888702,29.7022337,0.668152733,297.022337 +1775,MN,696,13,104,99,1037,2,3,10011,E003,10,15,5500,1,4,2B,533 WEST 24 STREET,M1-5, , , , , ,WCH, , , ,N,O5,5,0, ,"GTM ASSOCIATES, LLC",5628,32424,32424,0,26796,5628,0,0,0,0,2,1,6,0,6,57,98.75,57,93, ,3,N,5,0,759600,5341500,0,0,1926,2002,0, , ,5.76,0,5,6.5,1,1006960013,0,99,982804,212248,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,314.3809265,5749.623121,4581900,2,1,1776,1776,27,6075,8.63299942,8.63299942,0,8.63299942,0,233.0909843 +1776,MN,344,56,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,213 STANTON STREET,R7A, , , , , , , , , ,N,M3,8,0,X,R C CH LADY OF SORROW,3837,9380,9380,0,0,0,0,0,0,9380,2,1,4,0,1,37.25,103,37,103,E,2,N,5,2,156600,522000,156600,522000,1900,0,0, , ,2.44,4,0,4,1,1003440056,0,2201,989123,201367,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,287.7701757,3957.180952,365400,1,0,1777,1777,18,4050,17.05666733,18.13222122,1.075553894,17.16749435,0.314545626,309.0148983 +1777,MN,633,34,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,143 PERRY STREET,C1-6A, , , , , , , , , ,N,S3,4,0, ,143 PERRY CORP,864,2839,400,2439,0,400,0,0,0,0,2,1,4,3,4,21.5,40.17,22,40, ,3,N,5,5,68542,156384,0,0,1900,0,0,Greenwich Village Historic District, ,3.29,4,2,4,1,1006330034,0,75,982021,207049,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,125.7284111,871.383883,87842,9,0,1778,1778,3,675,15.33111095,15.33111095,0,15.33111095,0,45.99333286 +1778,MN,875,25,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,82 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,D4,3,0, ,IRVING EQUITIES INC,5716,28500,0,28500,0,0,0,0,0,0,2,1,6,42,42,50,108,50,90,E,3,Y,5,1,337500,3455100,21650,21650,1950,1986,0,Gramercy Park Historic District, ,4.99,4,0,4,1,1008750025,0,50,988100,207831,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,329.6392298,5915.364664,3117600,5,0,1779,1779,26,5850,25.84222221,31.81555557,5.973333359,26.86294856,1.840091391,698.4366627 +1779,MN,238,38,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,171 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"YEAN SIN LAM CHIU, AS",2528,9000,1000,8000,0,1000,0,0,0,0,2,2,5,24,25,25,99.92,25,43, ,0,Y,5,2,112500,361800,0,0,1900,1987,0, , ,3.56,6.02,6,6.5,1,1002380038,0,41,985156,200849,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,256.2196966,2480.485622,249300,0,0,1780,1780,13,2925,31.90200043,31.90200043,0,31.90200043,0,414.7260056 +1780,MN,743,64,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,334 WEST 20 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,334 W 20 LLC,2316,4600,0,4600,0,0,0,0,0,0,2,1,3,4,4,25,92,25,45, ,3,N,5,5,257860,432671,0,0,1900,1986,0,Chelsea Historic District, ,1.99,3,0,3,1,1007430064,0,89,983850,210285,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,237.9909149,2277.815534,174811,7,0,1781,1781,10,2250,15.57888889,20.36888886,4.789999962,17.15988903,1.960549604,171.5988903 +1781,MN,459,34,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,55 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,"SANDRA ELLIS, AS CO T",2400,11984,1800,10184,0,1800,0,0,0,0,2,1,7,20,21,24,100,24,100, ,3,N,5,2,168300,1251000,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,4.99,4,0,4,1,1004590034,0,38,987004,203730,12c, ,102 009,10205, ,0, ,1, , 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MARKS ASSETS, INC",3120,11713,2343,9370,0,2343,0,0,0,0,2,1,5,22,23,26,120,26,103, ,3,N,5,1,315900,1389600,0,0,1900,0,0, , ,3.75,4,0,4,1,1004630026,0,38,987463,204735,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,297.0432816,3185.57254,1073700,12,0,1783,1783,15,3375,34.15777969,35.56777954,1.409999847,34.33400167,0.450436021,515.010025 +1783,MN,187,5,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,184 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0,P,FRANKLIN ST OWNERS,1857,9214,1200,8014,0,1200,0,0,0,0,2,1,6,9,10,21.17,87.75,21,66, ,3,N,5,2,90419,291397,0,0,1901,0,0,Tribeca West Historic District, ,4.96,6.02,6,6.5,1,1001870005,0,39,981615,201440,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,218.6779993,1881.886814,200978,14,0,1784,1784,9,2025,17.89999962,17.89999962,0,17.89999962,0,161.0999966 +1784,MN,180,7510,101,39,4005,2,1,10013,E007,1,15,7700,3,1, ,5 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2296,15330,4674,10656,0,0,0,0,0,4674,2,1,6,5,7,0.05,0,0,0, ,0,N,0,5,177490,1587354,2360,2360,2000,0,0,Tribeca West Historic District, ,6.68,6.02,6,6.5,1,1001807510,1142,39,981683,201051,12a, ,115 017,10105, ,1001800009,12/20/2000,1, , ,17V1.1,7,201.9072382,2429.349497,1409860,14,0,1785,1785,11,2475,16.15699959,17.48444366,1.327444077,16.62688845,0.621771928,182.8957729 +1785,MN,545,22,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,736 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0,P,UD 736 BROADWAY LLC,3003,29485,4600,24885,0,2300,0,2300,0,0,2,1,11,8,11,24.92,125.5,24.25,113,E,3,Y,5,2,238050,2035800,0,0,1900,0,0,NoHo Historic District, ,9.82,0,5,6.5,1,1005450022,0,57,986228,205075,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,309.2925685,3135.336863,1797750,9,0,1786,1786,15,3375,38.29555511,39.71266556,1.417110443,38.39002914,0.35348945,575.8504372 +1786,MN,602,64,102,69,1007,2,3,10014,E024,6,15,6400,1,2,2B,78 MORTON STREET,M1-5/R7X, , , , , ,MX-6, , , ,N,S1,4,0,P,78 MORTON STREET LLC,2500,5500,0,4200,0,0,0,0,0,0,2,1,4,1,2,25,100,25,65, ,2,N,5,2,234092,492810,0,0,1900,2011,0, , ,2.2,5,5,5,1,1006020064,0,69,982190,205522,12a, ,103 001,10208,E-211,0, ,1, , ,17V1.1,0,253.3295413,2603.108986,258718,9,0,1787,1787,10,2250,16.68400002,16.68400002,0,16.68400002,0,166.8400002 +1787,MN,897,50,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,209 EAST 16 STREET,R7B, , , , , , , , , ,N,P9,8,0,X,ST GEORGE P E CHURCH,6160,9750,9750,0,0,0,0,0,0,9750,2,1,3,0,0,65,92,65,50, ,0,Y,5,5,439650,932850,439650,932850,1900,0,0,Stuyvesant Square Historic District, ,1.58,3,0,3,1,1008970050,0,48,988305,206874,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,333.5221667,5821.696604,493200,5,0,1788,1788,26,5850,25.1044445,31.9477787,6.843334198,27.25861109,2.909784781,708.7238884 +1788,MN,413,8,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,289 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,289 REALTY CORP,3850,19317,3219,16098,0,3219,0,0,0,0,2,1,6,18,23,44,87.5,43,87, ,2,N,3,2,225000,1142100,0,0,1909,0,0, , ,5.02,4,4,4,1,1004130008,0,18,986555,200996,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,271.9584199,4161.262781,917100,13,0,1789,1789,19,4275,39.72000122,42.62555313,2.90555191,40.30135185,1.006673868,765.7256851 +1789,MN,991,60,106,62,2000,2,4,10010,E016,13,14,6000,1,6, ,25-00 F D R DRIVE,C2-7, , , , , , , , , ,N,D6,4,0,C,WATERSIDE PLAZA LP,230066,1797891,432453,1365438,9305,41545,294656,2308,0,11725,2,8,40,1101,1122,329.75,465,128,131, ,1,Y,5,0,18450000,95628600,18450000,95628600,1973,0,0, , ,7.81,7.52,2,10,1,1009910060,0,62,991660,207941,12c,Y,104 055,10310, ,1009910060,4/12/2000,1,1,1,17V1.1,0,2259.789978,223338.5715,77178600,11,1,1790,1790,991,222975,0,8.015555382,8.015555382,5.268685262,0.975589103,5221.267095 +1790,MN,481,39,102,41,6002,2,1,10013,E055,5,15,6800,1,2,1A,396 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,C7,4,1, ,LUCKY MOTT ST INC,3089,11553,770,10783,0,770,0,0,0,0,2,1,6,16,17,25.42,123.92,25,91, ,3,N,5,2,99900,286200,0,0,1900,0,0, , ,3.74,6.02,6,6.5,1,1004810039,0,41,985053,201920,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,299.1886035,3038.931096,186300,0,0,1791,1791,13,2925,31.92555428,31.92555428,0,31.92555428,0,415.0322056 +1791,MN,475,34,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,40 WOOSTER STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,40 WOOSTER RESTORATIO,2500,14125,14125,0,11750,2375,0,0,0,0,2,1,6,0,6,25,100,25,96,E,3,N,5,2,450000,2238300,0,0,1896,0,0,SoHo-Cast Iron Historic District, ,5.65,0,5,6.5,1,1004750034,0,47,983564,202395,12a, ,101N070,10206, ,0, ,1,1,1,17V1.1,0,259.5695897,2679.096876,1788300,0,1,1792,1792,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +1792,MN,236,17,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1A,183 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,BES 3 LLC,1500,3638,960,1998,0,960,0,0,0,0,2,1,3,2,3,20.17,74.5,20,49, ,3,Y,5,4,11791,29859,0,0,1910,0,0, , ,2.43,6.02,6,6.5,1,1002360017,0,41,984885,201316,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,193.3199126,1532.629783,18068,0,0,1793,1793,7,1575,24.0720005,25.93888855,1.866888046,24.6102859,0.795384763,172.2720013 +1793,MN,516,39,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,153 PRINCE STREET,M1-5A, , , , , , , , , ,N,S3,4,0, ,BLDG PRINCE LLC,1140,2928,732,2196,0,732,0,0,0,0,2,1,3,3,4,20,57,20,34, ,3,N,5,5,105219,142812,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,2.57,0,5,6.5,1,1005160039,0,49,983973,203768,12c,Y,101N071,10206, ,1005160037,12/27/2001,1, , ,17V1.1,0,128.9639193,870.7152405,37593,0,0,1794,1794,4,900,17.67111206,21.96111107,4.289999008,18.74361181,1.857624062,74.97444725 +1794,MN,402,47,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,537 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,537 EAST 6TH ST HDFC,2725,9730,0,9730,0,0,0,0,0,0,2,1,5,6,6,30,90.83,30,64, ,3,N,5,2,23511,104257,23511,42013,1900,2012,0, , ,3.57,3,0,3,1,1004020047,0,32,989218,203382,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,245.3648194,2743.124975,80746,1,0,1795,1795,12,2700,12.85000038,15.75555611,2.905555725,13.45203741,1.058545949,161.424449 +1795,MN,429,8,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,24 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,K4,4,0,P,"CARMAR DEVELOPMENT, L",2287,7748,4114,3634,0,4114,0,0,0,0,2,1,3,2,4,23,100,23,96, ,3,Y,5,1,360450,1189350,0,0,1900,1987,0, , ,3.39,4,0,4,1,1004290008,0,3002,987626,202901,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,249.4790396,2376.985639,828900,1,0,1796,1796,11,2475,28.19499969,30.65222168,2.457221985,28.41838351,0.706401654,312.6022186 +1796,MN,475,28,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,66 GRAND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,GRAND STREET ARTISTS,10000,46741,1350,45391,0,0,0,0,0,1350,2,4,7,17,19,100,100,25,100, ,3,N,3,5,585000,4717800,72610,72610,1900,1985,0,SoHo-Cast Iron Historic District, ,4.67,0,5,6.5,1,1004750028,0,47,983402,202419,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,417.547281,10896.51536,4132800,0,1,1797,1797,48,10800,9.686666489,9.686666489,0,9.686666489,0,464.9599915 +1797,MN,825,31,105,58,1007,2,3,10010,E001,13,15,5700,1,5, ,1097 BROADWAY,C5-2, , , , , , , , , ,N,O6,5,0, ,200 FIFTH OWNER LLC,51642,704950,704950,0,586365,96695,0,21890,0,0,2,1,14,0,34,202.58,265.58,202.58,265.58, ,1,Y,3,2,15975000,178958700,0,36000000,1910,2012,2008,Ladies' Mile Historic District,"SIDEWALK CLOCK, 200 FIFTH AVENUE",13.65,10,10,10,1,1008250031,0,58,987050,209664,8d, ,104 001,10306,R-62,0, ,1, , ,17V1.1,0,985.989974,55289.01936,162984000,2,0,1798,1798,246,55350,36.32888794,41.00444412,4.675556183,36.47294583,0.634422665,8972.344673 +1798,MN,283,67,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,152 EAST BROADWAY,C6-2, , , , , , , , , ,N,S9,4,0, ,152 EAST BROADWAY INC,1383,4968,1050,3918,0,1050,0,0,0,0,2,1,4,6,8,24.5,56.75,25,42, ,3,Y,5,2,73123,186854,0,0,1910,1962,0, , ,3.59,6.02,6,6.5,1,1002830067,0,6,986784,199470,12d, ,101N051,10107, ,1002830067,12/30/1987,1, , ,17V1.1,0,163.5755151,1396.041843,113731,16,0,1799,1799,6,1350,32.80699921,32.80699921,0,32.80699921,0,196.8419952 +1799,MN,437,28,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,151 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,ENIGM 151 AVE A LLC,2975,9634,1872,7762,0,1872,0,0,0,0,2,1,5,8,10,26.33,113,26,72, ,3,N,5,2,148238,378636,0,0,1900,1983,0, , ,3.24,4,0,4,1,1004370028,0,34,989033,204389,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,285.0740591,3112.324948,230398,12,0,1800,1800,14,3150,17.51666641,19.24000168,1.723335266,18.10428565,0.697710426,253.4599991 +1800,MN,565,21,102,61,3000,2,2,10003,L003,9,15,5700,1,2,3A,842 BROADWAY,C6-1,C6-4, , , , ,US, , , ,Y,K2,5,0,P,STERLING UNION SQ. LL,48223,236215,236215,0,118779,108345,0,0,0,9091,2,1,10,0,7,63.33,219,0,0, ,0,Y,3,5,9720000,92224800,0,0,1996,1980,0, , ,4.9,3.44,6,6.5,1,1005650021,0,61,986924,206747,12c, ,103 026,10207, ,1005650021,3/14/1997,1, , ,17V1.1,0,934.9643047,49527.1114,82504800,12,0,1801,1801,220,49500,42.61000061,44.06999969,1.459999084,42.66410665,0.2370611,9386.103462 +1801,MN,553,34,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,109 WAVERLY PLACE,R6, , , , , , , , , ,N,A4,1,0, ,MYRNA 31 LLC,2517,4446,0,4446,0,0,0,0,0,0,2,1,4,1,1,25.17,100,25,58, ,3,N,5,2,20579,225360,0,0,1900,2008,0,Greenwich Village Historic District, ,1.77,2.43,0,4.8,1,1005530034,0,63,984550,206189,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,253.822669,2540.167804,204781,8,0,1802,1802,12,2700,17.50333405,18.10599899,0.602664948,18.00555484,0.224599965,216.066658 +1802,MN,807,18,105,101,1007,2,3,10001,L024,14,15,5200,1,5,1H,137 WEST 31 STREET,C6-4.5, , , , , ,MID, , , ,N,M1,8,0,X,ST FRANCIS ASSISI CHU,14352,9240,9240,0,0,0,0,0,0,9240,2,1,1,0,0,79,197.5,69,140, ,0,Y,5,5,2457000,3500550,2457000,3500550,1920,0,0, , ,0.64,10,12,12,1,1008070018,0,101,986863,212101,8d, ,105S024,10305, ,1008070018,1/5/2007,1, , ,17V1.1,0,612.0280573,14361.76144,1043550,6,0,1803,1803,64,14400,37.13700104,43.18444443,6.04744339,37.50728041,1.096661618,2400.465946 +1803,MN,230,25,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,89 GRAND STREET,M1-5B, , , , , , , , , ,N,S4,4,0,P,36 GREENE STREET CORP,1380,6900,1380,5520,0,1380,0,0,0,0,2,1,5,4,5,20,69,20,69, ,3,N,3,5,257547,490530,0,0,1915,1980,2008,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1002300025,0,47,983633,202117,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,190.1466849,1640.24679,232983,0,1,1804,1804,8,1800,11.39777756,14.77555561,3.377778053,12.47652757,1.412280763,99.81222057 +1804,MN,465,29,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,21 STUYVESANT STREET,R8B, , , , , , , , , ,N,O2,5,0,X,COOPER UNION FOR 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A,5000,23395,6920,16475,0,6920,0,0,0,0,2,1,6,13,14,50,100,0,0, ,0,N,5,5,791998,7068601,29754,29754,1907,1983,0,SoHo-Cast Iron Historic District, ,4.68,0,5,6.5,1,1005007501,123,49,984189,203365,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,7,309.0008131,5215.107108,6276600,0,0,1807,1807,24,5400,17.84111023,21.22222137,3.381111145,17.98198986,0.675634976,431.5677567 +1807,MN,452,35,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,167 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,EAST VILLAGE AT FIRST,2317,10212,2043,8169,0,2043,0,0,0,0,2,1,5,6,7,23.17,100,23,100, ,3,N,5,2,156316,520185,0,0,1900,0,0, , ,4.41,4,0,4,1,1004520035,0,40,988518,204920,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,247.218583,2306.445131,363869,12,0,1808,1808,9,2025,22.86222267,22.86888886,0.006666183,22.86296336,0.002094979,205.7666702 +1808,MN,572,14,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,56 WEST 9 STREET,R6, , , , , , , , , ,N,A9,1,0, ,"56 WEST 9TH STREET, L",1565,2436,0,2436,0,0,0,0,0,0,2,1,4,1,1,16.67,93.92,17,58, ,3,N,5,2,123079,439200,0,0,1900,0,0,Greenwich Village Historic District, ,1.56,2.43,0,4.8,1,1005720014,0,63,984652,206591,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.1006052,1642.185433,316121,8,0,1809,1809,7,1575,18.70499992,20.84666634,2.141666412,19.27103152,0.899079864,134.8972206 +1809,MN,636,7501,102,75,1006,2,3,10014,L005,6,15,6400,2,2, ,296 WEST 10 STREET,C1-7, , , , , , , , , ,N,R4,3,0, ,RIVERWEST CONDOMINIUM,4191,28572,0,28572,0,0,0,0,0,0,2,1,15,24,24,44,95.25,44,95.25, ,0,N,0,5,1741502,4459501,36768,36768,1997,0,0, , ,6.82,6.02,2,6.5,1,1006367501,1011,75,981663,206357,12a, ,103 011,10210, ,1006360015,9/15/1998,1, , ,17V1.1,7,288.750259,4586.659108,2718000,9,1,1810,1810,21,4725,10.4289999,12.93000031,2.501000404,11.61328575,0.491118267,243.8790007 +1810,MN,557,17,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,60 EAST 12 STREET,C6-1, , , , , , , , , ,N,C5,2,0, ,12-780 LLC,11330,124630,4774,119856,0,4774,0,0,0,0,2,1,13,133,137,93.58,164.17,88.83,118, 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LLC,2607,10785,0,10785,0,0,0,0,0,0,2,1,5,24,24,26,100,25,88, ,2,Y,3,2,112050,887400,0,0,1900,0,0, , ,4.14,0,5,6.5,1,1002740014,0,8,986287,198659,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,264.4484715,2935.329212,775350,16,0,1815,1815,13,2925,23.19666672,26.31699944,3.120332718,23.69468381,0.989563112,308.0308895 +1815,MN,411,23,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,151 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,151 1/2 LUDLOW STREET,2188,8421,1150,7271,0,1150,0,0,0,0,2,1,5,8,10,25,87.5,25,46,E,3,N,5,2,35711,119892,0,0,1900,1987,0, , ,3.85,4,4,4,1,1004110023,0,3001,987518,201913,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,226.2585664,2117.488728,84181,1,0,1816,1816,8,1800,31.68099976,33.86999893,2.188999176,32.35451412,0.913237336,258.836113 +1816,MN,939,47,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,324 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0, ,N-WAY TRANSACTION LLC,2798,13044,2000,11044,0,2000,0,0,0,0,2,1,6,22,24,28.33,98.75,28,86, 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,101N078,10204, ,0, ,1, , ,17V1.1,0,234.3664471,2324.301033,1309500,13,0,1819,1819,10,2250,37.4659996,37.4659996,0,37.4659996,0,374.659996 +1819,MN,506,48,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,17 VANDAM STREET,R6, , , , , , , , , ,N,B1,1,0, ,JAMES E COTTRELL,2152,2750,0,2750,0,0,0,0,0,0,2,1,3,2,2,21.5,100.08,21.5,36, ,3,N,5,2,34428,134628,0,0,1899,2004,0,Charlton-King-Vandam Historic District, ,1.28,2.43,0,4.8,1,1005060048,0,37,983016,203976,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,247.0525394,2171.344912,100200,0,0,1820,1820,7,1575,20.62700081,26.62222099,5.995220184,23.73601586,2.715214771,166.1521111 +1820,MN,532,30,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,81 BLEECKER STREET,C6-2, , , , , , , , , ,N,D5,3,0, ,"MERCER ASSOCIATES, L",7210,26382,0,26382,0,0,0,0,0,0,2,1,6,43,43,89,81,60,76, ,2,Y,3,2,1246500,4041450,0,0,1900,1977,0,NoHo Historic District, ,3.66,6.02,6,6.5,1,1005320030,0,5501,985272,204134,12c, ,103 009,10207, ,0, ,1, , 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,17V1.1,0,250.1517561,2093.031262,447300,7,0,1823,1823,9,2025,22.05333328,25.20555496,3.15222168,22.68790118,1.195376681,204.1911106 +1823,MN,372,17,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,288 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,THE SECOND HENRY STR,2650,18550,0,18550,0,0,0,0,0,0,2,1,6,53,53,24.75,105.92,24.75,105.92, ,0,N,5,5,109800,1145250,109800,1145250,2005,0,0, , ,7,4,0,4,1,1003720017,0,2202,989803,202010,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,272.0967788,2869.659175,1035450,1,0,1824,1824,12,2700,13.36666679,15.65555477,2.288887978,14.10861119,1.027336766,169.3033342 +1824,MN,575,75,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,51 WEST 11 STREET,R6, , , , , , , , , ,N,C5,2,0, ,51 WEST 11 REALTY LLC,2452,8628,0,8628,0,0,0,0,0,0,2,1,4,19,19,23.75,103.25,24,96, ,3,N,5,1,63450,1059750,0,0,1900,0,0,Greenwich Village Historic District, ,3.52,2.43,0,4.8,1,1005750075,0,63,985112,207077,12c, ,103 020,10207, ,0, ,1, , 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,17V1.1,0,238.5849739,1985.848383,70151,7,0,1827,1827,9,2025,15.9989996,21.67666626,5.677666664,19.02058019,2.47832787,171.1852217 +1827,MN,507,25,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,280 BOWERY,C6-1, , , , , ,LI, , , ,N,L8,6,0,P,BOWERY 87 LLC,3325,10927,10927,0,0,2800,0,0,0,8127,2,1,4,3,4,37.5,88.67,38,74,E,3,N,5,2,157500,954900,0,0,1900,0,0, , ,3.29,3.44,6,6.5,1,1005070025,0,43,986171,203018,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,264.9476957,3543.984795,797400,9,0,1828,1828,16,3600,44.71333313,45.48810959,0.774776459,44.76175666,0.18754352,716.1881065 +1828,MN,526,82,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,144 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,S3,4,0, ,RAFFETTO LIVING TRUST,1587,4073,815,3258,0,815,0,0,0,0,2,1,4,3,4,20,79.33,20,79,E,3,Y,5,5,163768,342702,0,0,1900,0,0, , ,2.57,3.44,0,6.5,1,1005260082,0,65,983771,204565,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,202.4033907,1654.391548,178934,9,0,1829,1829,7,1575,23.22699928,23.22699928,0,23.22699928,0,162.588995 +1829,MN,410,20,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,121 LUDLOW STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,"CHIN & KIM FAMILY, LL",1665,4485,4485,0,1425,3060,0,0,0,0,2,1,3,0,3,18.92,88,19,75, ,3,N,5,2,123750,707400,0,0,1893,2004,0, , ,2.69,4,4,4,1,1004100020,0,18,987352,201484,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,217.5533439,1726.900824,583650,13,0,1830,1830,6,1350,33.32444382,33.32444382,0,33.32444382,0,199.9466629 +1830,MN,469,17,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,218 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,218 EAST 14TH RLY COI,2478,9230,2450,6780,0,2450,0,0,0,0,2,1,5,7,8,24,103.25,24,81,E,3,N,5,2,85526,278508,0,0,1920,2005,2005, , ,3.72,4,2,4,1,1004690017,0,40,987986,206218,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,261.1456354,2545.519769,192982,12,0,1831,1831,11,2475,29.06444359,36.01555634,6.951112747,31.68434316,2.909928463,348.5277748 +1831,MN,209,25,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,255 CANAL STREET,M1-5B, , , , , , , , , ,N,L8,6,0,P,255 CANAL REATLY,1825,8375,8375,0,0,1675,0,6700,0,0,2,1,5,0,6,25,75,25,67, ,3,Y,5,2,336150,1512450,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,4.59,0,5,6.5,1,1002090025,0,45,984093,201143,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,203.5301114,1893.471088,1176300,0,0,1832,1832,10,2250,11.84555531,11.84555531,0,11.84555531,0,118.4555531 +1832,MN,630,7502,102,75,3004,2,3,10014,L005,6,15,6400,2,2, ,513 HUDSON STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,CLAREMONT SOUTH CONDO,3955,16348,8268,8080,625,2625,0,0,0,5018,2,1,6,8,13,56.08,100,0,0, ,0,Y,5,5,589502,2704501,0,10543,1988,0,0,Greenwich Village Historic District, ,4.13,3.44,2,6.5,1,1006307502,638,75,982409,206536,12a, ,103 012,10210, ,1006300041,8/26/1989,1, , ,17V1.1,7,288.0284851,4073.719264,2115000,9,0,1833,1833,19,4275,18.16222191,22.30888939,4.14666748,18.90587696,1.471935921,359.2116623 +1833,MN,298,36,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,47 CANAL STREET,C6-2, , , , , , , , , ,N,L8,6,0, ,NEW YORK HONG KONG ET,1214,8580,5160,3420,0,4620,0,540,0,0,2,1,7,6,9,24.25,50,24,50, ,3,N,5,2,100350,531000,0,0,1910,0,0, , ,7.07,6.02,6,6.5,1,1002980036,0,16,986616,199751,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,153.3400838,1263.865368,430650,13,0,1834,1834,6,1350,37.64699936,41.33555603,3.688556671,38.2617588,1.374643909,229.5705528 +1834,MN,435,57,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,93 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,VIDEO STORYBOARD TEST,1562,7335,1467,5868,0,1467,0,0,0,0,2,1,5,14,16,32,48.83,16,46, ,0,N,5,2,180450,1053000,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.7,4,0,4,1,1004350057,0,32,988335,204120,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,168.2000912,1667.187643,872550,12,0,1835,1835,7,1575,20.24200058,20.24200058,0,20.24200058,0,141.6940041 +1835,MN,776,7501,105,95,2003,2,3,10001,E001,10,15,5200,1,5, ,231 WEST 26 STREET,C6-2, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2481,5380,0,5380,0,0,0,0,0,0,2,1,4,6,6,24.88,99.75,0,0, 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,2.27,7.52,2,7.5,1,1009120034,0,70,990525,210089,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,232.2885236,1558.253484,282664,10,0,1838,1838,8,1800,26.45000076,27.23000145,0.780000687,26.54750085,0.25796098,212.3800068 +1838,MN,408,5,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,76 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,HUN SHING CORP,2190,8298,1800,6498,0,1800,0,0,0,0,2,1,5,14,16,25,87.5,25,69, ,3,N,5,2,345150,937800,0,0,1920,0,0, , ,3.79,4,4,4,1,1004080005,0,18,986965,200742,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,236.2259435,2386.668247,592650,13,0,1839,1839,10,2250,36.36111069,36.36111069,0,36.36111069,0,363.6111069 +1839,MN,164,9,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,46 MULBERRY STREET,C6-1, , , , , , , , , ,N,H3,5,0, ,RICE BOWL REALTY CORP,8782,47418,4635,17741,0,2640,0,0,0,0,2,3,5,24,31,118.58,83.75,62,85, ,0,Y,5,2,436500,3353400,0,0,1915,2007,0, , ,5.4,3.44,6,6.5,1,1001640009,0,29,984412,199816,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,379.6978825,8780.26874,2916900,14,0,1840,1840,41,9225,20.62111092,23.07666588,2.455554962,20.74850929,0.475361458,850.6888809 +1840,MN,377,10,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,356 EAST 8 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C0,2,0,P,INGRID HOUSE LLC,1804,2928,0,2928,0,0,0,0,0,0,2,1,4,3,3,18.5,97.5,18.5,40, ,1,N,5,2,3394,10030,0,0,1899,0,0, , ,1.62,4,0,4,1,1003770010,0,2602,990316,203167,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,238.9459253,1893.262834,6636,12,1,1841,1841,8,1800,7.409999847,9.922222137,2.51222229,7.747222066,0.824313431,61.97777653 +1841,MN,394,10,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,185 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D9,3,0,P,IGLESIA DE DIOS ETAL,8467,40242,6363,33879,0,0,0,0,0,6363,2,1,7,40,41,103.25,82,103.08,81.83, ,3,N,3,2,311400,4744350,0,0,2013,2013,0, , ,4.75,4,0,4,1,1003940010,0,28,990092,204441,12c, ,102 030,10203,E-216,0, ,1, ,1,17V1.1,0,376.9389038,8766.857101,4432950,12,1,1842,1842,39,8775,9.237999916,12.18111134,2.94311142,9.754071138,0.938347049,380.4087744 +1842,MN,770,33,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,209 WEST 20 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,CHELSEA 209 W 20TH ST,2050,8525,0,8525,0,0,0,0,0,0,2,1,7,12,12,25,81.83,25,55, ,0,Y,5,2,180000,1151550,0,0,2004,0,0, , ,4.16,4,0,4,1,1007700033,0,87,984934,209848,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,215.3804704,2009.762539,971550,7,0,1843,1843,9,2025,22.20999908,22.20999908,0,22.20999908,0,199.8899918 +1843,MN,631,27,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,273 WEST 10 STREET,C1-7,C1-6A, , , , , , , , ,Y,C4,2,0, ,MAJOR 10TH ST REALTYC,2781,7668,0,7668,0,0,0,0,0,0,2,2,4,16,16,28.67,97,29,70, ,3,N,5,2,257400,972450,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.76,6.02,2,6.5,1,1006310027,0,75,982064,206585,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,258.9498288,2860.812353,715050,9,0,1844,1844,12,2700,17.77111053,17.77111053,0,17.77111053,0,213.2533264 +1844,MN,529,34,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,51 BOND STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,51 BOND STREET REALTY,1810,5442,2742,2700,0,2742,0,0,0,0,2,1,4.5,4,5,25,74.83,25,45, ,3,Y,5,2,68400,630900,0,0,1910,0,0,NoHo Historic District Extension, ,3.01,0,5,6.5,1,1005290034,0,5502,986237,203693,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,203.1863348,1952.962909,562500,9,0,1845,1845,8,1800,41.23199844,43.07666779,1.844669342,41.57505465,0.639424454,332.6004372 +1845,MN,436,23,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,428 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,9TH STREET ESTATES IN,2348,9745,1949,7796,0,1949,0,0,0,0,2,1,5,15,17,25,93.92,25,77, ,3,N,5,2,126900,622800,0,0,1900,1978,0, , ,4.15,4,0,4,1,1004360023,0,32,988787,204296,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,251.7619196,2522.038339,495900,12,0,1846,1846,12,2700,17.84799957,20.68666649,2.838666916,18.08455515,0.784566089,217.0146618 +1846,MN,530,7,102,55.02,2001,2,1,10012,L009,9,15,5700,1,2,2A,682 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0,P,682 TENANTS CORP,3770,37380,3738,33642,0,3738,0,0,0,0,2,1,10,15,17,29,130,29,124, ,2,Y,3,2,382500,3363750,40957,40957,1903,1983,0,NoHo Historic District, ,9.92,0,5,6.5,1,1005300007,0,5502,985767,204350,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,336.4912303,4279.939294,2981250,9,0,1847,1847,20,4500,39.75222397,40.64666748,0.894443512,40.29368992,0.227599364,805.8737984 +1847,MN,465,30,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,19 STUYVESANT STREET,R8B, , , , , , , , , ,N,C1,2,0, ,TRES REALTY LCC,2800,10850,0,10850,0,0,0,0,0,0,2,1,5,23,23,28,100,28,84, ,3,N,5,1,328500,1473750,0,0,1900,1987,0, , ,3.88,4,0,4,1,1004650030,0,40,987394,205289,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,262.2572506,2920.852013,1145250,12,0,1848,1848,13,2925,33.48777771,34.32333374,0.83555603,33.60076934,0.267940126,436.8100014 +1848,MN,135,31,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,265 BROADWAY,C5-3, , , , , , , , , ,N,O5,5,0,P,267 PROPERTY CORP,5173,29000,29000,0,25000,4000,0,0,0,0,2,1,5,0,5,49.92,116.67,49.92,116.67, ,0,Y,5,2,792000,2872800,0,0,1936,1920,0, , ,5.61,10,15,15,1,1001350031,0,21,982365,199427,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,343.2278179,5409.863334,2080800,3,0,1849,1849,25,5625,32.66199875,36.79999924,4.138000488,32.84590988,0.812129573,821.147747 +1849,MN,438,2,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,166 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,166 FIRST AVENUE REAL,2225,6697,1050,5647,0,1050,0,0,0,0,2,1,5,4,5,23.67,94,24,68,E,3,N,5,5,174980,260646,0,0,1930,1976,0, , ,3.01,4,0,4,1,1004380002,0,34,988676,204802,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.7152492,2509.082905,85666,12,0,1850,1850,12,2700,17.98900032,21.01066589,3.021665573,18.24080578,0.835144246,218.8896694 +1850,MN,796,23,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,123 WEST 20 STREET,C6-3A, , , , , , , , , ,N,L8,6,0, ,HONG DIEP REALTY INC,4208,25287,12679,12608,4200,4200,0,0,0,4279,2,1,4,5,7,45.74,92,45.68,92, ,0,N,5,5,468000,1777050,0,0,1900,0,0, , ,6.01,7.52,6,7.5,1,1007960023,0,87,985599,209486,8d, ,103 030,10305, ,1007960023,12/31/1992,1, , ,17V1.1,0,282.2678925,4405.72204,1309050,7,0,1851,1851,20,4500,28.3488884,28.3488884,0,28.3488884,0,566.9777679 +1851,MN,610,27,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,172 WAVERLY PLACE,R6, , , , , , , , , ,N,C7,4,0, ,33 CHRISTOPHER CORP,1596,8000,1596,6404,0,1596,0,0,0,0,2,1,5,12,14,74.83,21.33,75,21, ,3,Y,3,2,108000,1845900,0,0,1900,0,0,Greenwich Village Historic District, ,5.01,2.43,0,4.8,1,1006100027,0,73,983870,206692,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,195.8076238,1726.677666,1737900,8,0,1852,1852,7,1575,20.06299973,20.25611115,0.19311142,20.09058707,0.06757492,140.6341095 +1852,MN,925,47,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,340 EAST 20 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,"KAYMAN, STEVEN M.",1840,4560,0,4560,0,0,0,0,0,0,2,1,4,4,4,20,92,20,57, ,3,N,5,5,189602,354512,0,0,1910,1985,2005, , ,2.48,4,0,4,1,1009250047,0,64,989574,207116,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,234.3062212,1978.46224,164910,5,0,1853,1853,9,2025,15.27999973,17.67333221,2.393332481,16.07703686,0.958758455,144.6933317 +1853,MN,459,22,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,72 EAST 4 STREET,R8B, , , , , , , , , ,N,K2,5,0,P,NEW YORK THEATER WORK,2404,4829,4829,0,0,4829,0,0,0,0,2,1,2,0,1,25,96.17,25,96.17, ,0,N,5,2,108000,580050,108000,580050,1900,2009,0,East Village/Lower East Side Historic Di, ,2.01,4,0,4,1,1004590022,0,38,986936,203894,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,248.1435275,2458.21984,472050,1,0,1854,1854,10,2250,35.86666489,35.86666489,0,35.86666489,0,358.6666489 +1854,MN,634,13,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,124 BANK STREET,R6, , , , , , , , , ,N,J1,5,0,X,H B PLAYWRIGHTS FDTSI,2050,1942,1942,0,0,0,0,0,0,1942,2,1,1,0,1,21.58,95,21.58,90, ,2,N,5,0,184500,338850,184500,338850,1936,1980,0,Greenwich Village Historic District, ,0.95,2.43,0,4.8,1,1006340013,0,75,982117,207451,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,236.3444474,2112.324143,154350,8,0,1855,1855,10,2250,13.33333302,15.63788891,2.304555893,13.66389971,0.69129566,136.6389971 +1855,MN,518,31,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,154 SULLIVAN STREET,R7-2, , , , , , , , , ,N,M3,8,0,P,THE CHURCH OF ST ANTH,2519,5581,5581,0,0,0,0,0,0,5581,2,1,4,0,3,25.17,100.08,25,80,E,3,N,5,2,302850,713700,0,0,1978,1979,0,Sullivan-Thompson Historic District, ,2.22,3.44,0,6.5,1,1005180031,0,49,983729,204304,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,250.389635,2518.830382,410850,9,0,1856,1856,11,2475,20.52111053,22.14111137,1.620000839,20.66838334,0.465717497,227.3522167 +1856,MN,804,8,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,151 WEST 28 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,GROFF STUDIOS CORP,4905,39471,4750,34721,0,4750,0,0,0,0,2,1,9,16,19,50,98.75,50,99,E,3,N,5,2,252900,4427550,96984,96984,1922,0,0, , ,8.05,0,10,10,1,1008040008,0,95,986280,211498,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,302.7704189,5083.825295,4174650,2,0,1857,1857,23,5175,33.41199875,33.49399948,0.082000732,33.415564,0.016722501,768.557972 +1857,MN,520,55,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,45 KING STREET,R6, , , , , , , , , ,N,A4,1,0, ,QUEEN BEE LLC,2502,4353,0,3120,0,0,0,0,0,0,2,1,4,1,1,25,100.08,22,60, ,2,N,5,1,39844,200184,0,0,1899,2005,0,Charlton-King-Vandam Historic District, ,1.74,2.43,0,4.8,1,1005200055,0,37,982956,204519,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,255.5641325,2569.549258,160340,9,0,1858,1858,11,2475,16.76099968,20.04000092,3.279001236,18.22221201,1.357499398,200.4443321 +1858,MN,609,45,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,513 AVENUE OF THE AMER,C6-2, , , , , , , , , ,N,S2,4,0,P,CHELSEA CENTRO INC.,1209,2565,1235,1330,0,1235,0,0,0,0,2,1,3,2,3,18.67,65,19,65,E,3,N,5,2,243060,257640,0,0,1910,1987,2011, , ,2.12,6.02,6,6.5,1,1006090045,0,71,984960,207785,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,169.8777642,1146.997705,14580,8,0,1859,1859,5,1125,25.65555573,25.65555573,0,25.65555573,0,128.2777786 +1859,MN,615,83,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,239 WEST 12 STREET,C1-6, , , , , , , , , ,N,C1,2,0,P,239 WEST LLC,1285,4544,0,4544,0,0,0,0,0,0,2,1,4,8,8,22,57.5,22,56,E,3,Y,5,0,49794,349020,0,0,1843,2011,0,Greenwich Village Historic District, ,3.54,3.44,2,6.5,1,1006150083,0,77,983610,208083,12a,Y,103 016,10209, ,0, ,1, , 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,17V1.1,0,252.0049845,2406.08975,720450,11,0,1862,1862,11,2475,34.39699936,35.85699844,1.459999084,35.4454533,0.6433815,389.8999863 +1862,MN,934,15,106,66,9000,2,2,10016,E016,13,14,5800,1,6,2A,332 EAST 28 STREET,R8, , , , , , , , , ,N,D3,3,0,P,SITE 10 COMMUNITY ALL,34094,165739,0,165739,0,0,0,0,0,0,2,2,15,224,224,125,198,186,60, ,3,N,4,2,3082500,21925800,3082500,21925800,1979,0,0, , ,4.86,6.02,0,6.5,1,1009340015,0,66,990624,209168,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,851.773676,34311.48308,18843300,11,0,1863,1863,152,34200,22.9822216,30.83333397,7.851112366,27.34192857,1.794523289,4155.973143 +1863,MN,719,47,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,406 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,C5,2,0, ,LONDON APARTMENTS LLC,1026,3990,0,3990,0,0,0,0,0,0,2,1,4.5,10,10,14.25,72,14,52, ,3,N,5,1,126919,434738,0,0,1900,1959,0,Chelsea Historic District, ,3.89,3,0,3,1,1007190047,0,89,983629,210993,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,175.4203704,1058.808754,307819,7,1,1864,1864,4,900,9.307999611,9.420000076,0.112000465,9.335999727,0.048497624,37.34399891 +1864,MN,573,53,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,17 WEST 9 STREET,R6, , , , , , , , , ,N,S9,4,0, ,17 WEST 9TH STREET BR,2152,8646,1770,6876,1770,0,0,0,0,0,2,1,5,6,9,26.17,82.25,26,70, ,3,N,5,2,192991,744452,0,0,1900,0,0,Greenwich Village Historic District, ,4.02,2.43,0,4.8,1,1005730053,0,63,985113,206501,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,220.3853271,2200.53048,551461,8,0,1865,1865,10,2250,18.98099899,20.35333252,1.372333527,19.11823235,0.411700058,191.1823235 +1865,MN,861,52,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,34 EAST 32 STREET,C5-2, , , , , , , , , ,N,H3,5,0,P,"FIRST WOOSTER, LLC",3950,35778,778,0,0,778,0,0,0,0,2,1,10,0,1,40,98.75,40,90,E,3,N,5,2,1354500,6135750,0,0,1920,2014,0, ,ST. LOUIS HOTEL (NOW HOTEL GRAND UN,9.06,10,10,10,1,1008610052,0,74,988869,211065,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,286.6685264,4100.784964,4781250,10,0,1866,1866,19,4275,37.62444687,42.63555527,5.011108398,38.09742897,1.389162727,723.8511505 +1866,MN,791,70,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,146 WEST 16 STREET,R8A, , , , , , , , , ,N,C6,2,0, ,146 WEST 16TH STREET,2151,5000,0,5000,0,0,0,0,0,0,2,1,5,9,9,20.83,103.25,21,48, ,3,N,5,1,88800,414243,0,0,1920,1987,0, , ,2.32,6,0,6,1,1007910070,0,81,984824,208624,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,253.6001609,2174.002828,325443,7,0,1867,1867,9,2025,27.87888908,29.98333359,2.104444504,28.17148166,0.649696156,253.543335 +1867,MN,583,7501,102,67,4004,2,3,10014,E024,6,15,6400,2,2, ,44 MORTON STREET,R6, , , , , , , , , ,N,R1,2,0, ,44 MORTON STREET COND,1754,3763,0,3763,0,0,0,0,0,0,2,1,3,6,6,23.55,59.19,0,0, ,0,Y,0,5,51920,404543,2360,2360,1844,0,0,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1005837501,878,67,982772,205466,12a, ,103 003,10208, ,1005830022,9/29/1994,1, , ,17V1.1,7,184.4412065,1825.325265,352623,9,0,1868,1868,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +1868,MN,487,4,102,47,1003,2,1,10013,L008,1,15,6800,1,2,1A,492 BROOME STREET,M1-5A, , , , , , , , , ,N,D2,3,0, ,FUNKY FOUNDATIONS INC,3000,16800,2800,14000,0,2800,0,0,0,0,2,1,6,4,7,40,75,40,75, ,3,N,5,2,535855,1347534,0,0,1900,2015,2005,SoHo-Cast Iron Historic District, ,5.6,0,5,6.5,1,1004870004,0,47,983564,202797,12a, ,101N069,10206, ,0, ,1,1, ,17V1.1,0,235.9659054,3173.3343,811679,0,1,1869,1869,14,3150,13.42399979,13.42399979,0,13.42399979,0,187.935997 +1869,MN,141,7507,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,138 READE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4661,16734,4208,12526,0,3539,669,0,0,0,2,1,8,5,7,75.08,53.5,75,53.5, ,0,Y,0,5,165219,1965406,0,321290,2005,0,0, , ,3.59,6.02,6,6.5,1,1001417507,1622,39,981547,200359,12a, ,11S 016,10104, ,1001410004,12/29/2006,1, , ,17V1.1,7,260.4624498,4138.413894,1800190,14,0,1870,1870,19,4275,16.8029995,16.8029995,0,16.8029995,0,319.2569904 +1870,MN,530,24,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,33 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,GREAT JONES ST REALTY,5105,14553,14553,0,0,0,0,5100,0,9453,2,2,7,0,9,53.75,100,27,77, ,3,Y,5,2,217800,2046150,0,0,1890,2009,0,NoHo Historic District Extension, ,2.85,0,5,6.5,1,1005300024,0,5502,986147,204060,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,317.1711909,5352.183387,1828350,9,0,1871,1871,23,5175,43.14099884,43.70788956,0.566890717,43.18941929,0.156928207,993.3566437 +1871,MN,282,52,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,90 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K2,5,0, ,G S SERVICE STATIONIN,1655,3320,3320,0,0,3320,0,0,0,0,2,1,2,0,1,25,66.42,25,66.42, ,0,Y,3,5,118800,474300,0,0,2002,0,0, , ,2.01,3.44,6,6.5,1,1002820052,0,8,985980,199390,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,187.6340252,1662.899532,355500,16,0,1872,1872,9,2025,37.20222092,37.20222092,0,37.20222092,0,334.8199883 +1872,MN,577,7501,102,63,1000,2,3,10011,L003,6,15,5700,3,2, ,72 5 AVENUE,C6-4, , , , , , , , , ,N,RC,5,0,X, ,5158,35310,35308,0,35308,0,0,0,0,0,2,1,7,0,4,51,100,51,100, ,0,N,0,5,1012500,5001218,1012500,5001218,1920,0,0, , ,6.85,10,10,10,1,1005777501,1068,63,985820,207265,12c, ,103 020,10207, ,1005770044,12/7/1999,1, , ,17V1.1,7,329.4513555,6109.635038,3988720,8,0,1873,1873,27,6075,30.09499931,34.31444168,4.219442368,30.30629561,0.81497306,818.2699814 +1873,MN,574,66,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,43 WEST 10 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"CARENDI, LAURA",2321,4704,0,3456,0,0,0,0,0,0,2,1,3,3,3,24.5,94.75,24.5,46, ,3,N,5,1,82931,263761,0,0,1899,0,0,Greenwich Village Historic District, ,2.03,2.43,0,4.8,1,1005740066,0,63,984968,206868,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,249.8089705,2593.277315,180830,8,0,1874,1874,13,2925,20.66300011,25.60000038,4.937000275,22.4955214,2.321031911,292.4417782 +1874,MN,776,69,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,338 8 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,"BLUE 8 REALTY,",3260,9288,2130,7158,0,2130,0,0,0,0,2,1,3,12,14,38.08,100,38,60,E,2,Y,3,2,167400,1559700,0,0,1950,0,0, , ,2.85,6.02,6,6.5,1,1007760069,0,95,985236,211639,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,292.1387232,3646.962602,1392300,2,0,1875,1875,17,3825,25.44111061,26.70400047,1.262889862,26.43060157,0.408558486,449.3202267 +1875,MN,7,29,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,26 WATER STREET,C5-5, , , , , ,LM, , , ,N,P7,8,0, ,SONS OF THE REVOLUTIO,833,4800,4800,0,0,1600,0,800,0,2400,2,1,5,0,2,19,41,19,39, ,3,Y,5,2,132750,436950,79650,262170,1900,0,0,Fraunces Tavern Block Historic District, ,5.76,10,15,15,1,1000070029,0,9,981160,195488,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,180.7673592,1063.861149,304200,17,1,1876,1876,7,1575,6.517333508,6.517333508,0,6.517333508,0,45.62133455 +1876,MN,448,50,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,311 EAST 6 STREET,R8B, , , , , , , , , ,N,I9,8,0,P,ODYSSEY HOUSE INC,2044,5480,5480,0,0,0,0,0,0,5480,2,1,4,0,1,25,81.75,25,80, ,3,N,5,2,144450,343800,144450,343800,1920,1989,0,East Village/Lower East Side Historic Di, ,2.68,4,0,4,1,1004480050,0,38,987666,204235,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,223.0709035,2147.043618,199350,1,0,1877,1877,9,2025,27.1590004,30.70555496,3.546554565,27.60072878,1.105841829,248.406559 +1877,MN,829,65,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,38 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,"FARENY-1 MANAGEMENT,",2469,11110,11110,0,8960,2150,0,0,0,0,2,1,5,0,6,25,98.75,25,95,E,3,N,5,2,436500,697500,0,0,1910,0,0, , ,4.5,0,10,10,1,1008290065,0,58,987112,210859,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,249.7219758,2456.041239,261000,2,0,1878,1878,11,2475,42.75111008,45.97444534,3.223335266,43.04414056,0.926643737,473.4855461 +1878,MN,625,55,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,32 8 AVENUE,C1-6, , , , , , , , , ,N,H3,5,0, ,JANE 8 LLC,800,2293,0,0,0,0,0,0,0,0,2,1,3,0,1,18.5,52,19,40,E,3,Y,5,2,144000,911250,0,0,1841,0,0,Greenwich Village Historic District, ,2.87,3.44,2,6.5,1,1006250055,0,77,983087,208092,8b,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,144.5928258,834.2161494,767250,8,0,1879,1879,4,900,20.9066658,20.9066658,0,20.9066658,0,83.62666321 +1879,MN,29,47,101,9,1010,2,1,10004,L015,1,15,7700,1,1,1B,17 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,S9,4,0,P,STONE EAGLE LLC,1738,8690,1500,7190,0,1500,0,0,0,0,2,1,5.5,4,6,17.83,83.08,18,83, ,3,Y,4,5,189195,985608,0,0,1900,0,0,Stone Street Historic District, ,5,10,15,15,1,1000290047,0,9,981351,195927,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,212.8348294,1645.841375,796413,17,1,1880,1880,7,1575,10.66100025,10.66100025,0,10.66100025,0,74.62700176 +1880,MN,731,54,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,414 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,M1,8,0,P,RC CHUR ST MICHAEL,31175,14812,14812,0,0,0,0,0,0,14812,2,1,6,0,3,75,197.5,75,198, ,3,Y,4,2,2668500,4302000,2668500,4302000,1900,0,0, , ,0.48,10,10,10,1,1007310054,0,103,984921,213733,8d, ,105S018,10302, ,0, ,1, , ,17V1.1,0,844.6092258,30838.77398,1633500,6,0,1881,1881,137,30825,43.60599899,52.50444412,8.898445129,44.13436572,1.804742098,6046.408104 +1881,MN,484,24,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,495 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,WB REALTY PARTNERS LL,9766,77066,77066,0,61425,4817,0,0,0,10824,2,1,8,0,9,48.83,200,50,200, ,3,N,4,2,2160000,11692800,0,0,1900,2004,0,SoHo-Cast Iron Historic District, ,7.89,0,5,6.5,1,1004840024,0,49,984234,202411,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,517.7080129,10450.0899,9532800,0,0,1882,1882,45,10125,22.21222115,22.21222115,0,22.21222115,0,999.5499516 +1882,MN,905,57,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,333 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,126 BA PAZ LLC,4820,21162,2200,18962,0,2200,0,0,0,0,2,1,6,28,30,49.33,97.58,49,84, ,3,N,5,2,244350,1207800,0,0,1930,1987,0, , ,4.39,10,2,10,1,1009050057,0,66,989226,208804,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,298.8215,4953.09973,963450,11,0,1883,1883,21,4725,26.78800011,27.42266655,0.634666443,26.81822232,0.135157839,563.1826687 +1883,MN,437,41,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,423 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,NINTH ST APT INC,1415,3396,0,3396,0,0,0,0,0,0,2,1,4,4,4,16.67,84.92,17,50, ,3,N,5,2,79863,226202,3350,3350,1900,1986,0, , ,2.4,4,0,4,1,1004370041,0,34,988789,204465,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,211.8783486,1497.538343,146339,12,0,1884,1884,6,1350,17.51666641,18.74888802,1.232221603,17.72203668,0.459221878,106.3322201 +1884,MN,637,7502,102,75,2002,2,3,10014,L005,6,15,6400,2,2, ,366 WEST 11 STREET,C1-6A, , , , , , , , , ,N,R4,3,0, ,366 WEST 11 ST CONDO,8828,54774,0,54774,0,0,0,0,0,0,2,1,13,81,81,88.15,100.15,0,0, ,0,N,5,5,2290503,9357305,59393,59393,1987,0,0, , ,6.2,4,2,4,1,1006377502,473,75,981677,207116,12a, ,103 011,10210, ,1006370056,1/5/1988,1, ,1,17V1.1,7,380.8485115,9038.764846,7066800,9,1,1885,1885,40,9000,10.46455479,11.89766693,1.433112144,10.71766915,0.329385801,428.7067661 +1885,MN,720,42,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,411 WEST 22 STREET,R7B, , , ,C1-5, , , , , ,N,C6,2,0, ,NORTH RIVER APARTMENT,1646,6134,0,6134,0,0,0,0,0,0,2,1,5,8,8,16.67,98.75,17,80, ,3,N,5,2,72384,338839,10260,10260,1900,1975,0,Chelsea Historic District Extension, ,3.73,3,0,3,1,1007200042,0,93,983663,211141,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,221.5793833,1559.232951,266455,2,1,1886,1886,6,1350,9.369999886,9.369999886,0,9.369999886,0,56.21999931 +1886,MN,540,24,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,230 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,230 SULLIVAN LLC,1050,4539,0,4539,0,0,0,0,0,0,2,1,5,9,9,21,50,21,50, ,3,N,5,0,21674,316477,0,0,1900,2015,0,South Village Historic District, ,4.32,3.44,0,6.5,1,1005400024,0,65,984315,205171,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,142.7931355,1046.407667,294803,9,0,1887,1887,4,900,22.5755558,22.5755558,0,22.5755558,0,90.30222321 +1887,MN,626,9,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,60 HORATIO STREET,R6, , , , , , , , , ,N,B3,1,0, ,"WHITE, II, HERMAN",979,2052,0,1539,0,0,0,0,0,0,2,1,2,2,2,19.58,50,19.58,30,E,3,N,5,1,38385,166971,0,0,1899,0,0,Greenwich Village Historic District, ,2.1,2.43,0,4.8,1,1006260009,0,79,982549,208377,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,142.7645515,1018.074279,128586,8,0,1888,1888,3,675,15.42222214,15.42222214,0,15.42222214,0,46.26666641 +1888,MN,447,28,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,95 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,QUAD 344 LLC,4850,17473,2619,14854,0,2619,0,0,0,0,2,2,5,20,24,48.5,100,49,54,E,2,N,3,2,738000,2967300,0,0,1910,0,0, , ,3.6,4,0,4,1,1004470028,0,38,987969,203928,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,304.0739732,5125.348136,2229300,1,0,1889,1889,21,4725,25.30111122,28.15800095,2.856889725,26.35084679,1.187542984,553.3677826 +1889,MN,90,23,101,15.01,1004,2,1,10038,E006,1,15,7700,1,1,1B,17 ANN STREET,C5-5, , , , , ,LM, , , ,N,S5,4,0, ,17 ANN LLC,855,5520,1710,3810,0,1710,0,0,0,0,2,1,6,5,6,20,49.08,20,49.08, ,0,Y,5,5,472500,677250,0,0,1900,2005,0, , ,6.46,10,15,15,1,1000900023,0,1501,982095,198297,12b, ,101S019,10103, ,0, ,1, , ,17V1.1,0,141.0125201,1021.569096,204750,3,0,1890,1890,4,900,37.81000137,37.81000137,0,37.81000137,0,151.2400055 +1890,MN,611,72,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,145 WEST 10 STREET,R6, , , , , , , , , ,N,C7,4,0, ,"145 WEST 10 REALTY,",3982,16800,800,16000,800,0,0,0,0,0,2,1,6,24,25,44,95,44,84, ,3,Y,5,2,310050,1744200,0,0,1900,1985,0,Greenwich Village Historic District, ,4.22,2.43,0,4.8,1,1006110072,0,71,983957,206957,12a,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,290.1290833,4310.100124,1434150,8,0,1891,1891,18,4050,19.84000015,21.84444427,2.004444122,19.97932106,0.466771049,359.627779 +1891,MN,401,27,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,534 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,SM 534 EAST 6TH STREE,1896,5876,1000,4876,0,1000,0,0,0,0,2,1,5,8,9,22.25,97.17,22.25,54, ,0,Y,5,5,8566,50195,0,0,1900,0,0, , ,3.1,3,0,3,1,1004010027,0,32,989120,203265,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,236.4153107,1964.914537,41629,1,0,1892,1892,8,1800,14.77200031,15.86666679,1.094666481,15.04736137,0.412796181,120.378891 +1892,MN,424,11,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,171 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,171 CORP,2565,5696,3296,2400,0,2565,0,731,0,0,2,1,4,3,4,20.5,126,21,126, ,3,Y,5,2,230850,1054350,0,0,1910,1998,0, , ,2.22,3.44,6,6.5,1,1004240011,0,18,985980,201563,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,305.7933163,2650.673266,823500,0,0,1893,1893,12,2700,35.63777924,35.63777924,0,35.63777924,0,427.6533508 +1893,MN,435,27,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,126 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,122-126 ST. MARKS PLA,3770,14623,2437,12186,0,2437,0,0,0,0,2,1,6,22,24,38.67,97.5,39,86, ,3,N,5,2,652500,2609550,0,0,1920,0,0, , ,3.88,4,0,4,1,1004350027,0,32,988738,204041,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,278.5956943,3899.320517,1957050,12,0,1894,1894,17,3825,18.46888924,20.51111031,2.042221069,18.75237925,0.630259594,318.7904472 +1894,MN,885,91,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,435 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,S9,4,0,P,"DEN, MASAKO",1185,3712,1828,1884,928,900,0,0,0,0,2,1,4,2,4,19.75,60,20,48, ,3,N,5,5,279589,648073,0,0,1920,1986,0, , ,3.13,10,10,10,1,1008850091,0,72,988932,210416,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,158.6001452,1157.997213,368484,10,0,1895,1895,6,1350,32.84000015,42.57222366,9.732223511,34.70629629,3.558221779,208.2377777 +1895,MN,784,41,105,109,1005,2,3,10123,E026,14,15,5200,1,5,1H,450 7 AVENUE,C6-4,M1-6,C6-4M, , , ,MID,GC, , ,Y,O4,5,0,P,450 7TH AVE ASSCTS,15001,491253,491253,0,473503,17750,0,0,0,0,2,1,46,0,252,108.42,60,106,126, ,3,Y,3,2,5220000,59860800,0,0,1930,1987,0, , ,32.75,10,10,10,1,1007840041,0,109,986806,213043,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,673.3456665,16264.32217,54640800,6,0,1896,1896,69,15525,34.68444443,34.68444443,0,34.68444443,0,2393.226666 +1896,MN,174,21,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,87 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,LORBER ENTERPRISES LL,2358,11200,4000,7200,0,2000,0,0,0,2000,2,1,5,6,8,23.58,100,24,95,E,3,N,5,2,126000,941850,0,0,1915,0,0,Tribeca East Historic District, ,4.75,6.02,6,6.5,1,1001740021,0,33,982891,200806,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,257.3776735,2483.614529,815850,14,0,1897,1897,10,2250,21.5755558,23.96888924,2.393333435,21.81488914,0.718000031,218.1488914 +1897,MN,470,52,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,144 BOWERY,C6-1G, , , , , ,LI, , , ,N,K9,5,0, ,CHU & LEE REALTY CORP,2595,5900,5900,0,1850,4050,0,0,0,0,2,1,3,0,3,26.67,77,26,78,E,3,Y,5,2,225000,914850,0,0,1900,0,0, , ,2.27,3.44,6,6.5,1,1004700052,0,41,985696,201362,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,247.0558833,2847.162128,689850,0,0,1898,1898,12,2700,31.67711258,31.67711258,0,31.67711258,0,380.125351 +1898,MN,162,30,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,9 DOYERS STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,DIAMOND HORSE REALTY,1725,7139,4449,2690,1345,3104,0,0,0,0,2,1,4,2,5,20,48,20,48, ,3,Y,5,2,173250,645750,0,0,1920,0,0, , ,4.14,3.44,6,6.5,1,1001620030,0,29,984742,199530,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,180.3625132,1675.97178,472500,16,0,1899,1899,7,1575,30.90500069,41.21777725,10.31277657,32.37825448,3.60872006,226.6477814 +1899,MN,804,43,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,102 WEST 29 STREET,C6-4X, , , , , , , , , ,N,L9,6,0,P,102 WEST 29 REALTY L,2156,8970,8970,0,0,1790,0,7180,0,0,2,1,5,4,5,21.83,98.75,21.83,82, ,3,N,5,2,328500,1177200,0,0,1920,1989,0, , ,4.16,10,10,10,1,1008040043,0,95,986855,211297,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,243.9435437,2108.388574,848700,6,0,1900,1900,10,2250,40.67900085,41.27377701,0.594776154,40.73847847,0.178432846,407.3847847 +1900,MN,823,70,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,50 WEST 22 STREET,C6-4A, , , , , , , , , ,N,S3,4,0, ,"YALOZ, TSVIA",2271,7654,1914,5740,0,1914,0,0,0,0,2,1,4,3,4,23,98.75,23,91,E,3,N,5,2,102024,683848,0,0,1915,1967,0,Ladies' Mile Historic District, ,3.37,10,10,10,1,1008230070,0,58,986289,209503,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,247.6330779,2318.784977,581824,7,0,1901,1901,10,2250,33.74333191,33.74333191,0,33.74333191,0,337.4333191 +1901,MN,769,7,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,259 WEST 19 STREET,C6-2A,R8B, , , , , , , , ,Y,C4,2,0, ,EIGHTH-19TH CO. LLC,2741,8536,1000,7536,0,1000,0,0,0,0,2,1,5,16,18,26.58,105.08,27,63, ,2,Y,5,2,140850,1421550,0,0,1901,1987,0, , ,3.11,6.02,6,6.5,1,1007690007,0,87,984393,209883,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,269.0287307,3039.236769,1280700,7,0,1902,1902,13,2925,21.88888931,21.88888931,0,21.88888931,0,284.5555611 +1902,MN,904,40,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,220 EAST 24 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,220 EAST 24 ASSOCIATE,7209,45446,0,45446,0,0,0,0,0,0,2,1,8,71,74,73.17,98.75,69,87, ,3,N,5,2,1575000,8193600,0,0,1985,0,0, , ,6.3,4,0,4,1,1009040040,0,64,989284,208478,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,347.0527878,7343.837016,6618600,11,0,1903,1903,33,7425,21.18099976,31.22555542,10.04455566,21.80931964,2.229929395,719.7075481 +1903,MN,925,1,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,328 2 AVENUE,R9A,R7B, , , , , , , , ,Y,Q1,9,0,C,NYC PARKS,22080,400,400,0,400,0,0,0,0,0,2,1,1,0,1,184,150,20,20, ,1,Y,3,0,3334500,3960450,3334500,3960450,1900,0,0, , ,0.02,7.52,0,7.52,1,1009250001,0,64,989188,207273,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,694.7653511,23980.62329,625950,5,0,1904,1904,105,23625,18.86999893,21.09222221,2.222223282,20.19032798,0.480639135,2119.984438 +1904,MN,283,88,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,121 DIVISION STREET,C6-2, , , , , , , , , ,N,L8,6,0, ,"D.A.D.,",1573,3951,2634,1317,0,1317,0,1317,0,0,2,1,3,0,2,26.33,63,26,51, ,3,Y,5,2,98550,387450,0,0,1910,0,0, , ,2.51,6.02,6,6.5,1,1002830088,0,6,986524,199511,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,182.7743592,1704.722414,288900,16,0,1905,1905,7,1575,35.5909996,40.53555298,4.944553375,37.55739594,2.278034805,262.9017715 +1905,MN,722,40,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,235 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,S5,4,0, ,CONCORD MANAGEMENT 21,2467,5849,1200,4649,0,1200,0,0,0,0,2,1,4,6,7,24.67,100,25,99, ,3,N,5,2,68729,304952,0,0,1910,0,0, , ,2.37,6,0,6,1,1007220040,0,93,983988,211635,8d,Y,105S005,10302, ,0, ,1, , ,17V1.1,0,266.4564642,2786.321617,236223,2,1,1906,1906,12,2700,10.68099976,18.39999962,7.718999863,12.81562932,3.195799016,153.7875519 +1906,MN,542,48,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,105 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,FEENJON CORPORATION,3374,19824,2625,17199,0,2625,0,0,0,0,2,1,7,36,37,25,134.5,25,135, ,3,N,4,2,360000,2789550,0,0,1900,1960,0,South Village Historic District, ,5.88,3.44,0,6.5,1,1005420048,0,65,983971,205183,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,328.4053944,3502.115042,2429550,9,0,1907,1907,15,3375,18.38111115,18.38111115,0,18.38111115,0,275.7166672 +1907,MN,629,23,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,324 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,324 WEST REALTY LLC,2581,7000,750,6250,0,750,0,0,0,0,2,1,5,8,9,25,103.25,25,60,E,3,N,5,2,72959,464336,0,0,1910,1988,0, , ,2.71,6.02,6,6.5,1,1006290023,0,77,983164,208889,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,258.8446739,2581.77911,391377,8,0,1908,1908,11,2475,16.45777702,19.57666588,3.118888855,16.88686804,0.966047164,185.7555485 +1908,MN,898,7502,106,48,2000,2,2,10003,E005,13,14,5900,1,6, ,233 EAST 17 STREET,R7B, , , , , , , , , ,N,R4,3,0, , ,7696,26696,0,26696,0,0,0,0,0,0,2,1,4,13,13,74,101,74,104, ,0,Y,0,5,702450,3665252,0,0,1948,2006,0,Stuyvesant Square Historic District, ,3.47,3,0,3,1,1008987502,1676,48,988590,207001,12c, ,102 036,10308, ,1008980018,5/4/2007,1, , ,17V1.1,7,363.774112,7962.585181,2962800,5,0,1909,1909,36,8100,22.7840004,25.17555618,2.391555786,22.88931518,0.422549646,824.0153465 +1909,MN,196,11,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,274 CANAL STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,274 CANAL STREET LLC,1189,4200,4200,0,1000,1050,0,0,0,2150,2,1,4,0,2,32.5,27,33,34, ,3,Y,5,2,279000,703800,0,0,1915,1987,0,Tribeca East Historic District, ,3.53,0,5,6.5,1,1001960011,0,31,983815,201196,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,199.0948003,1315.030882,424800,0,0,1910,1910,6,1350,11.84555531,13.34444427,1.498888969,12.09537013,0.558602938,72.5722208 +1910,MN,626,32,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,40 HORATIO STREET,R6, , , , , , , , , ,N,C4,2,0, ,HORATIO STREET PARTNE,4382,15785,0,15785,0,0,0,0,0,0,2,4,5,40,40,50.08,87.5,25,60, ,3,N,5,2,417150,1835100,0,0,1910,0,0,Greenwich Village Historic District, ,3.6,2.43,0,4.8,1,1006260032,0,77,982905,208357,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,281.5779564,4533.691729,1417950,8,0,1911,1911,23,5175,17.68444443,20.55555534,2.871110916,18.40840572,1.103725907,423.3933315 +1911,MN,568,32,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,7 EAST 10 STREET,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,2321,7410,7410,0,0,0,0,0,0,7410,2,1,5,0,1,24.5,94.75,25,58, ,3,N,5,2,648000,1493550,648000,1493550,1900,1983,0,Greenwich Village Historic District, ,3.19,3.44,0,6.5,1,1005680032,0,61,985742,206440,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,248.0919232,2440.987008,845550,8,0,1912,1912,10,2250,29.93888855,32.30666733,2.367778778,30.17566643,0.710333633,301.7566643 +1912,MN,828,38,105,58,1003,2,2,10001,E001,13,15,5700,1,5,1B,222 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0,P,222 FIFTH INC.,2840,13145,13145,0,10145,3000,0,0,0,0,2,1,6,0,6,28.33,100,28,98,E,3,N,5,2,270000,1335600,0,0,1980,1998,0,Madison Square North Historic District, ,4.63,10,10,10,1,1008280038,0,58,987482,210265,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,252.5716961,2639.088637,1065600,11,0,1913,1913,12,2700,40.96588898,41.03300095,0.067111969,41.02740828,0.018548768,492.3288994 +1913,MN,277,42,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,32 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,HOP JUNG RLTY CORP,2512,11538,1850,9688,0,1850,0,0,0,0,2,1,6,22,24,25,100,25,85, ,2,N,5,2,168750,479250,0,0,1910,0,0, , ,4.59,3.44,0,6.5,1,1002770042,0,8,985287,198914,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,254.7510955,2501.656733,310500,16,0,1914,1914,13,2925,21.55400085,22.46577835,0.911777496,21.62413759,0.242960761,281.1137886 +1914,MN,623,19,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,409 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,ABINGDON LLC,1033,3400,1000,2400,0,1000,0,0,0,0,2,1,4,1,2,20.67,50,20.67,40,E,3,N,5,5,62005,152483,0,0,1899,2010,0,Greenwich Village Historic District, ,3.29,3.44,2,6.5,1,1006230019,0,77,982855,207516,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,141.0440323,1020.673984,90478,8,0,1915,1915,5,1125,22.60333252,22.60333252,0,22.60333252,0,113.0166626 +1915,MN,765,57,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,224 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,224 W 16 REALTY LLC,2581,9780,0,9780,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,91,E,3,N,5,2,158850,1297800,0,0,1901,0,0, , ,3.79,4,0,4,1,1007650057,0,81,984217,208959,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,262.0562298,2719.087911,1138950,7,0,1916,1916,13,2925,22.05333328,25.21222305,3.158889771,22.37846169,0.84191127,290.920002 +1916,MN,306,7501,103,16,2001,2,1,10002,L006,5,14,7400,1,3, ,84 FORSYTH STREET,C6-1G, , , , , , , , , ,N,RM,4,0, , ,3174,13988,2827,11161,0,2827,0,0,0,0,2,1,5,8,9,25,125.33,0,0, ,0,Y,0,5,510274,1289990,0,0,1900,0,0, , ,4.41,3.44,6,6.5,1,1003067501,2373,16,986200,200662,12c, ,101N050,10107, ,1003060012,11/15/2013,1, , ,17V1.1,7,305.1815955,3240.089859,779716,13,0,1917,1917,14,3150,37.59777832,37.59777832,0,37.59777832,0,526.3688965 +1917,MN,742,36,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,165 8 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0, ,"HALL REALTY, INC.",2233,5390,1500,3890,0,1500,0,0,0,0,2,1,3,3,4,22.33,100,22,100,E,3,N,5,5,225397,522469,0,0,1910,1989,2000, , ,2.41,4,2,4,1,1007420036,0,89,984012,209824,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,246.1471591,2278.338925,297072,7,0,1918,1918,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +1918,MN,438,24,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,432 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,432 E 11 ST CORP,2370,8700,0,8700,0,0,0,0,0,0,2,2,5,15,15,25,94.75,25,50, ,0,N,5,2,171900,687600,0,0,1910,1987,0, , ,3.67,4,0,4,1,1004380024,0,34,989088,204698,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,247.6516787,2499.825449,515700,12,0,1919,1919,11,2475,17.63888931,18.75111198,1.112222672,17.74000046,0.319741537,195.1400051 +1919,MN,239,34,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,98 BOWERY,C6-1G, , , , , ,LI, , , ,N,S9,4,0, ,NYW HOLDINGS LLC,2492,9765,3900,5865,0,1950,0,0,0,1950,2,1,5,4,6,25,99.92,25,90,E,3,N,5,5,241797,661281,0,0,1920,1989,0, , ,3.92,3.44,6,6.5,1,1002390034,0,41,985487,200766,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,261.0558235,2658.772684,419484,0,0,1920,1920,11,2475,37.1590004,37.1590004,0,37.1590004,0,408.7490044 +1920,MN,136,7501,101,21,1001,2,1,10007,L010,1,15,7700,1,1, ,50 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,50 WARREN ST. CONDO,4420,21861,7848,14013,0,0,0,0,0,7848,2,1,5,4,7,25.1,176,0,0, ,0,N,0,5,194820,1629282,4720,4720,1915,0,0,Tribeca South Historic District Extensio, ,4.95,7.52,6,7.5,1,1001367501,938,21,981807,199747,12b, ,101S017,10104, ,1001360009,1/4/1997,1, , ,17V1.1,7,412.7611351,4606.746414,1434460,3,0,1921,1921,21,4725,25.24200058,25.8488884,0.606887817,25.2709,0.129242135,530.6889 +1921,MN,283,71,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,160 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,"HOO LEE INC.,",1155,4255,1000,3255,0,1000,0,0,0,0,2,1,5,8,10,25.33,45.58,25,39, ,3,N,5,2,166278,231344,0,0,1900,1961,0, , ,3.68,6.02,6,6.5,1,1002830071,0,6,986885,199476,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,151.4994209,1305.118585,65066,13,0,1922,1922,5,1125,32.80699921,32.80699921,0,32.80699921,0,164.034996 +1922,MN,758,14,104,111,1003,2,3,10001,L021,14,15,5500,1,4,2A,347 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,M1,8,0,P,CONG BETH ISRAEL #2,3859,11400,11400,0,0,0,0,0,0,11400,2,1,4,0,1,76,98.75,44,94, ,2,N,5,2,618750,1460250,556875,1314225,1924,1984,0, , ,2.95,10,10,10,1,1007580014,0,111,985564,213705,8d, ,105N031,10304,E-32,0, ,1, , ,17V1.1,0,364.0384921,8159.865943,841500,6,0,1923,1923,36,8100,38.14200211,46.13777924,7.99577713,42.1625505,3.630692396,1517.851818 +1923,MN,494,24,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,231 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"HOP YICK REALTY II, L",2475,6500,1040,5460,0,1040,0,0,0,0,2,1,5,8,9,25,99,25,49, ,3,N,5,2,43278,310960,0,0,1910,2006,0, , ,2.63,6.02,6,6.5,1,1004940024,0,43,985541,202553,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,249.8937927,2425.987742,267682,0,0,1924,1924,11,2475,38.86500168,45.39666748,6.531665802,41.47964755,2.546306755,456.276123 +1924,MN,552,68,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,79 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,D0,3,0, ,79 WASHINGTON PLACE R,3980,22170,0,22170,0,0,0,0,0,0,2,1,8,15,15,44.08,90.17,44,62, ,3,N,5,2,360000,1905750,11800,11800,1916,1982,0,Greenwich Village Historic District, ,5.57,3.44,0,6.5,1,1005520068,0,65,984311,206035,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,268.1059209,3939.039878,1545750,9,0,1925,1925,17,3825,17.50333405,17.50333405,0,17.50333405,0,297.5566788 +1925,MN,283,7502,103,6,1000,2,1,10002,E015,7,14,7800,2,3, ,135 DIVISION STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,135 DIVISION STREET C,4670,21376,5442,15934,0,1942,0,3500,0,0,2,1,8,28,31,75.33,61.75,0,0, ,0,N,5,5,350999,2607752,18880,18880,1988,0,0, , ,4.58,6.02,6,6.5,1,1002837502,607,6,986702,199528,12d, ,101N051,10107, ,1002830080,2/11/1989,1, , ,17V1.1,7,284.3829768,5041.588827,2256750,16,0,1926,1926,25,5625,32.80699921,37.9422226,5.135223389,34.61453735,2.26242744,865.3634338 +1926,MN,141,7506,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,321 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2894,13382,4428,8954,0,0,0,0,0,4428,2,1,5,4,5,28.23,100,0,0, ,0,Y,0,5,99011,807190,0,0,1915,0,0,Tribeca West Historic District, ,4.62,6.02,6,6.5,1,1001417506,1075,39,981361,200538,12a, ,101S016,10104, ,1001410017,12/20/1999,1, , ,17V1.1,7,263.3852205,2948.428905,708179,14,0,1927,1927,13,2925,15.27000046,16.8029995,1.532999039,16.64576883,0.419691043,216.3949947 +1927,MN,769,66,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,252 WEST 20 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,252 W 20 TNTS CORP,2199,11000,0,11000,0,0,0,0,0,0,2,1,6,20,20,25,89.92,25,81,E,3,Y,5,2,172350,1146600,23600,23600,1901,1989,0, , ,5,4,0,4,1,1007690066,0,87,984399,209985,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,237.3314238,2501.709745,974250,7,0,1928,1928,11,2475,21.88888931,23.66888809,1.779998779,22.05070738,0.51171367,242.5577812 +1928,MN,765,14,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,241 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WETOJA,2478,9890,0,9890,0,0,0,0,0,0,2,1,5,20,20,24,103.25,24,88, ,3,N,5,2,157950,1462950,0,0,1901,0,0, , ,3.99,4,0,4,1,1007650014,0,81,984036,208939,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,257.8301238,2482.150757,1305000,7,0,1929,1929,12,2700,22.05333328,25.93888855,3.885555267,22.66157405,1.363479192,271.9388886 +1929,MN,140,3,101,21,2000,2,1,10007,E007,1,15,7700,1,1, ,143 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,143 CHAMBERS LLC,1906,10800,10800,0,0,3800,0,0,0,7000,2,1,5,4,5,25,76.25,25,76, ,3,N,5,2,86400,1135350,0,0,1915,0,0, , ,5.67,7.52,6,7.5,1,1001400003,0,21,981615,200084,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,207.8240849,1878.274105,1048950,14,0,1930,1930,8,1800,18.1439991,18.1439991,0,18.1439991,0,145.1519928 +1930,MN,586,20,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,240 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,CHUR OUR LADY POMPEI,18000,76888,76888,0,76888,0,0,0,0,0,2,1,6,0,4,180,100,125,98, ,2,N,3,2,2169000,4575150,2169000,4575150,1928,1985,0,Greenwich Village Historic District Exte, ,4.27,3.44,0,6.5,1,1005860020,0,67,983445,205441,12a, ,103 005,10208, ,0, ,1, , 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BEE DEVELOPMENTC,1906,4000,2100,1900,0,1900,0,200,0,0,2,1,2,2,7,80,23.83,24,80, ,2,N,3,2,180000,582300,0,0,1958,1988,2004, , ,2.1,4,0,4,1,1003980029,0,3002,988892,202563,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,218.8054619,2160.8346,402300,1,0,1932,1932,11,2475,20.40699959,21.51000023,1.103000641,20.69999972,0.416858528,227.6999969 +1932,MN,401,56,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,515 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"515 EAST 5TH ST., LLC",2434,7910,1000,6910,1000,0,0,0,0,0,2,1,6,24,25,25.08,97,25,54, ,3,N,5,2,88200,631350,0,0,1920,1946,2006, , ,3.25,3,0,3,1,1004010056,0,32,988831,203308,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,252.8439632,2554.638662,543150,1,0,1933,1933,12,2700,14.20666695,17.11111259,2.904445648,14.94277811,1.093862915,179.3133373 +1933,MN,561,7501,102,59,5000,2,2,10003,E033,6,15,5700,3,2, ,63 EAST 9 STREET,C6-2,R7-2, , , , , , , , ,Y,RM,4,0, ,63 EAST 9 STREET COND,28500,247908,38123,209785,0,14709,23414,0,0,0,2,1,14,229,234,1849,174.33,0,0, ,0,Y,5,5,4513500,25251300,252386,252386,1955,0,0, , ,8.7,6.02,6,6.5,1,1005617501,787,59,986447,205811,12c, ,103 025,10207, ,1005610026,11/20/1991,1, , ,17V1.1,7,735.9370133,28355.45423,20737800,8,0,1934,1934,127,28575,32.25444412,40.13999939,7.885555267,32.64923504,1.573889715,4146.45285 +1934,MN,425,7501,103,18,5001,1,1,10002,E055,5,14,7400,2,3, ,195 BOWERY,C6-1,C6-3A, , , , , , , , ,Y,RM,4,0, , ,7720,40450,15996,24454,9493,6503,0,0,0,0,2,2,16,16,23,25.33,157.83,25,157.42, ,0,Y,5,5,675001,6817952,25314,373420,1900,2004,2004, , ,5.24,3.44,6,6.5,1,1004257501,1408,18,986139,201855,12c, ,11N 077,10204, ,1004250007,3/18/2005,1, , ,17V1.1,7,617.137776,7854.225943,6142950,13,0,1935,1935,35,7875,38.80888748,39.63577652,0.826889038,38.83251288,0.137758577,1359.137951 +1935,MN,351,1,103,18,1000,2,1,10002,L018,7,14,7400,1,3,2B,62 ESSEX STREET,R8, , , , , , , , , ,N,D4,3,0,O,NYC HOUSING AUTHORITY,47091,198260,10040,188220,0,0,0,0,0,10040,2,3,23,181,182,300.75,156.33,145,93, ,0,N,1,0,1710000,12468150,1710000,12468150,1972,0,0, , ,4.21,6.02,0,6.5,1,1003510001,0,18,987441,200522,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,942.7330002,51487.51854,10758200,13,0,1936,1936,230,51750,33.08666611,36.30666733,3.220001221,34.2659379,0.754088494,7881.165718 +1936,MN,618,7502,102,77,1000,2,3,10011,Q018,6,15,6100,3,2, ,219 WEST 13 STREET,R6, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,1508,1187,0,1187,0,0,0,0,0,0,2,1,4,5,5,21,75,20.83,75, ,0,N,5,5,37010,291878,4720,4720,1890,0,0,Greenwich Village Historic District, ,0.79,2.43,0,4.8,1,1006187502,713,77,983949,208317,8b,Y,103 031,10209, ,1006180049,12/12/1990,1, , ,17V1.1,7,197.1657927,1599.384491,254868,8,0,1937,1937,7,1575,22.30444527,23.32999992,1.025554657,22.47611182,0.353854626,157.3327827 +1937,MN,279,66,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,22 CHATHAM SQUARE,C6-1G, , , , , ,TA, , , ,N,K4,4,0,P,CHATHAM 22 REALTY COR,1040,3950,3950,0,2960,990,0,0,0,0,2,1,4,0,2,17.17,62,17,62, ,3,Y,5,2,124200,411300,0,0,1900,0,0, , ,3.8,3.44,6,6.5,1,1002790066,0,27,984823,199122,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,158.2306132,1011.581464,287100,16,0,1938,1938,5,1125,27.60099983,27.60099983,0,27.60099983,0,138.0049992 +1938,MN,464,43,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,33 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"TJM,",2934,8835,1767,7068,0,1767,0,0,0,0,2,1,5,10,14,26,112.83,26,66, ,3,N,5,5,499500,1754100,0,0,1900,0,0, , ,3.01,4,0,4,1,1004640043,0,38,987548,204886,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,285.896227,3078.030509,1254600,12,0,1939,1939,14,3150,32.10889053,34.32888794,2.219997406,32.61374692,0.813905624,456.5924568 +1939,MN,551,15,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,26 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,C3,2,0,P,26 WSN,2418,7588,0,7588,0,0,0,0,0,0,2,1,4,4,4,25.96,94.33,26,60, ,3,Y,5,5,207164,675894,0,0,1900,2008,0,Greenwich Village Historic District, ,3.14,2.43,0,4.8,1,1005510015,0,63,984748,206056,12c, ,103 018,10207, ,1005510015,3/14/2002,1, , ,17V1.1,0,244.9300568,2644.167101,468730,8,0,1940,1940,12,2700,21.12199974,21.12199974,0,21.12199974,0,253.4639969 +1940,MN,521,43,102,55.02,2009,2,1,10012,L009,9,15,5700,1,2,1G,18 BLEECKER STREET,C6-2, , , , , ,LI, , , ,N,M2,8,0,P,OUR LADY OF LORETO,8127,27935,27935,0,0,0,0,0,0,27935,2,1,5,0,6,92,90,90,88, ,2,Y,3,1,1057500,4747050,1057500,4747050,1929,1985,2012,Noho East Historic District, ,3.44,6.02,6,6.5,1,1005210043,0,5502,986092,203535,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,386.8808386,9097.399666,3689550,9,0,1941,1941,41,9225,42.75111008,43.92300034,1.171890259,43.84572108,0.240700335,1797.674564 +1941,MN,611,15,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,48 CHARLES STREET,C2-6, , , , , , , , , ,N,S4,4,0, ,"48 CHARLES STREET, LL",1215,4635,1215,3420,0,1215,0,0,0,0,2,1,3,4,5,20,74.83,20,68,E,3,Y,4,5,161764,390929,0,0,1900,1986,2009,Greenwich Village Historic District, 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,17V1.1,0,257.0385685,2587.887639,1164600,9,0,1946,1946,11,2475,17.9011116,23.44333267,5.542221069,18.96173772,2.005282564,208.5791149 +1946,MN,624,56,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,57 BANK STREET,R6, , , , , , , , , ,N,A4,1,0,P,"DE LESELEUC MCNALLY,A",1296,3202,0,2353,0,0,0,0,0,0,2,1,3,1,1,18,72,18,36,E,3,Y,5,1,47753,202854,0,0,1899,2005,0,Greenwich Village Historic District, ,2.47,2.43,0,4.8,1,1006240056,0,77,983119,207771,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,184.0546481,1368.811338,155101,8,0,1947,1947,5,1125,20.58111191,20.58111191,0,20.58111191,0,102.9055595 +1947,MN,425,36,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,157 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,S9,4,0, ,"MAN 441, LLC",3175,5980,1125,4855,0,0,0,0,0,1125,2,1,4,6,8,24,125.83,24,57, ,3,Y,5,1,26866,78192,0,0,1905,2013,0, , ,1.88,7.52,6,7.5,1,1004250036,0,18,986177,201772,12c, ,101N077,10204, ,0, ,1, , 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STREET,C6-2, , , , , , , , , ,N,S5,4,0, ,"CJY REALTY, .",1400,4760,1360,3400,0,1360,0,0,0,0,2,1,5,6,7,17.5,80,18,80,E,3,N,5,2,55123,331051,0,0,1920,2001,2002, , ,3.4,6.02,6,6.5,1,1003090018,0,16,986961,200438,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,202.5392994,1552.90471,275928,13,0,1959,1959,7,1575,34.44444275,38.3433342,3.898891449,35.00142724,1.364327802,245.0099907 +1959,MN,409,34,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,256 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,92 ORCHARD REALTY LLC,2715,14895,2700,12195,0,2700,0,0,0,0,2,1,6,20,23,30,90.5,29,89, ,3,N,3,2,275850,1612800,0,0,1920,0,0, , ,5.49,4,4,4,1,1004090034,0,18,987018,200958,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,251.0080279,3025.272159,1336950,13,0,1960,1960,14,3150,35.36399841,38.43666458,3.072666168,35.77152225,1.001682737,500.8013115 +1960,MN,914,5,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,203 EAST 33 STREET,R8B,C1-9, , , , , , , , ,Y,C4,2,0, ,33RD STREET INVESTORS,2654,10125,0,10125,0,0,0,0,0,0,2,1,5,20,20,24.67,107.58,25,84, ,2,Y,5,2,90000,1140300,0,0,1910,1987,1996, , ,3.81,4,0,4,1,1009140005,0,70,990342,210726,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,282.361142,3013.403679,1050300,10,0,1961,1961,14,3150,17.92555618,21.86000061,3.934444427,18.53544508,1.320979501,259.4962311 +1961,MN,344,146,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,42 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"42 CLINTON, LLC",2500,9550,900,8650,0,900,0,0,0,0,2,1,6,18,19,25,100,25,86, ,3,N,5,2,213750,1314450,0,0,1920,0,0, , ,3.82,4,0,4,1,1003440146,0,2201,988561,201497,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,256.5700381,2579.102926,1100700,1,0,1962,1962,11,2475,23.20000076,23.20000076,0,23.20000076,0,255.2000084 +1962,MN,459,7501,103,38,3001,1,2,10003,E028,9,14,6500,3,3, ,5 EAST 3 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,2404,16493,1433,15060,0,1433,0,0,0,0,2,1,9,8,9,25,96.17,25,85.5, ,0,N,0,5,5587,704268,637,44256,1920,0,0, , 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,0, ,1, , ,17V1.1,0,350.7301653,6268.234241,878923,14,0,1965,1965,28,6300,23.54111099,25.51333427,1.972223282,23.63632134,0.383453179,661.8169975 +1965,MN,611,13,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,52 CHARLES STREET,C2-6, , , , , , , , , ,N,B3,1,0, ,"BEDFORD, C. LESLIE",1900,3640,0,2660,0,0,0,0,0,0,2,1,2,2,2,20,95,20,42, ,3,N,5,1,40196,161241,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.92,3.44,2,6.5,1,1006110013,0,73,983560,206984,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,237.5971003,2093.590983,121045,8,0,1966,1966,10,2250,23.83777809,25.3488903,1.511112213,24.18066692,0.532468774,241.8066692 +1966,MN,162,7501,103,29,3003,2,1,10038,E009,5,15,7700,1,3, ,7 CHATHAM SQUARE,C6-1G,C6-1, , , , ,TA, , , ,Y,RC,5,0,P,WING FAT MANSION COND,6525,31785,31785,0,8174,23611,0,0,0,0,2,1,8,0,60,50,155,0,0, ,0,Y,5,5,1478249,5020652,0,0,1920,0,0, , ,4.87,3.44,6,6.5,1,1001627501,217,29,984744,199423,12d, ,101S032,10105, ,1001620039,12/4/1985,1, , ,17V1.1,7,409.3675116,6417.810942,3542400,16,0,1967,1967,29,6525,30.90500069,31.14999962,0.244998932,30.91344893,0.044703879,896.4900188 +1967,MN,132,26,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,75 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0,P,WARREN OWNERS LTD,1819,10117,1800,8317,0,1800,0,0,0,0,2,1,5.5,2,3,24.25,75,24.25,75, ,0,N,5,2,62685,233784,0,0,1905,2008,2008, , ,5.56,6.02,6,6.5,1,1001320026,0,21,981396,199774,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,202.7176701,1856.6199,171099,3,0,1968,1968,7,1575,17.78899956,17.78899956,0,17.78899956,0,124.5229969 +1968,MN,924,7501,106,48,6000,2,2,10003,E005,13,14,5900,1,6, ,302 EAST 19 STREET,R9A, , , , , , , , , ,N,RM,4,0, ,302 EAST 19TH STREET,2100,8252,2945,5307,0,2945,0,0,0,0,2,1,4,9,11,23,100,0,0, ,0,N,5,5,309601,1597950,20819,22699,1910,0,0, , ,3.93,7.52,0,7.52,1,1009247501,676,48,989111,207132,12c, ,102 048,10309, ,1009240061,12/21/1989,1, , ,17V1.1,7,258.9555003,2511.604897,1288350,5,0,1969,1969,12,2700,14.83555603,21.05888939,6.223333359,16.32092619,2.577523453,195.8511143 +1969,MN,898,8,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,207 EAST 17 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,DONALD R. BENNETT AS,2116,6340,0,4435,0,0,0,0,0,0,2,1,3,2,2,23,92,23,80,E,3,N,5,1,146675,258589,0,0,1901,2004,0,Stuyvesant Square Historic District, ,3,3,0,3,1,1008980008,0,48,988390,207104,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,237.9204274,2195.716596,111914,5,0,1970,1970,10,2250,22.7840004,22.7840004,0,22.7840004,0,227.840004 +1970,MN,509,21,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,47 EAST HOUSTON STREET,C6-3, , , , , ,LI, , , ,N,S3,4,0, ,PETER GOODMAN,1833,5733,2850,2883,0,2850,0,0,0,0,2,1,5,3,4,22,86.42,22,45, ,3,Y,5,5,80967,293646,0,0,1800,0,0, , ,3.13,7.52,6,10,1,1005090021,0,43,985695,203265,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,223.5993272,1894.007871,212679,9,0,1971,1971,9,2025,44.10889053,44.75500107,0.646110535,44.68321101,0.203052951,402.1488991 +1971,MN,767,67,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,246 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,246-18 REALTY LLC C,2392,9854,2000,7854,0,2000,0,0,0,0,2,1,5,13,14,26,92,26,85, ,3,N,5,2,82350,1283400,0,0,1915,0,2012, , ,4.12,6.02,6,6.5,1,1007670067,0,81,984229,209517,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,240.8174819,2527.439227,1201050,7,0,1972,1972,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +1972,MN,508,16,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,278 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,"EGA HOLDINGS, LLC",2180,8790,0,8790,0,0,0,0,0,0,2,1,5,8,9,25,87,25,65, ,3,Y,5,2,226626,609008,0,0,1920,1987,0, , ,4.03,6.02,6,6.5,1,1005080016,0,43,985861,203084,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,232.9662074,2368.703594,382382,9,0,1973,1973,10,2250,44.87400055,47.00111008,2.127109528,45.37495613,0.833332299,453.7495613 +1973,MN,285,14,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,205 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,D7,4,0, ,"205 HENRY TOWER, INC.",2100,10535,1505,9030,0,1505,0,0,0,0,2,1,7,10,11,24,87.5,24,56, ,3,N,5,0,157500,264755,0,0,2014,2011,0, , ,5.02,3.44,0,6.5,1,1002850014,0,6,987760,199338,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,223.9689003,2079.37151,107255,13,0,1974,1974,10,2250,23.9640007,25.97822189,2.014221191,24.16542282,0.604266357,241.6542282 +1974,MN,618,28,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,204 WEST 14 STREET,C6-2A, , , , , , , , , ,N,D7,4,0, ,204-208 W. 14 REALTY,7744,32000,4150,27850,0,4150,0,0,0,0,2,1,6,52,57,75,103.25,75,70,E,3,N,5,2,616500,3807000,0,0,1969,0,0, , ,4.13,6.02,6,6.5,1,1006180028,0,77,984103,208368,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,362.0127542,7985.5729,3190500,8,0,1975,1975,36,8100,22.30444527,26.35555458,4.051109314,22.46282477,0.689587939,808.6616917 +1975,MN,91,7501,101,15.01,1015,2,1,10038,E006,1,15,7700,1,1, ,119 FULTON STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,FULTONHAUS CONDOMINIU,3004,28550,3815,24735,0,3815,0,0,0,0,2,1,15,19,20,25.17,119.92,25,120, ,3,Y,4,5,450001,3303901,0,463179,1919,2005,2005, , ,9.5,10,10,10,1,1000917501,1605,1501,982327,197985,12b, ,11S 011,10103, ,1000910008,12/20/2006,1, , ,17V1.1,7,301.3868603,3103.82781,2853900,4,0,1976,1976,13,2925,33.07500076,33.33777618,0.262775421,33.09521426,0.070021597,430.2377853 +1976,MN,799,8,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,165 WEST 23 STREET,C6-3X,M1-6, , , , , , , , ,Y,K4,4,0, ,165 WEST 23 LLC,2475,8459,4459,4000,0,4459,0,0,0,0,2,1,5,3,4,22,112.5,22,108,E,3,N,5,2,697500,1483200,0,0,1901,2003,2003, , ,3.42,9,6,9,1,1007990008,0,91,985647,210384,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,282.4595718,2740.959923,785700,2,0,1977,1977,11,2475,29.26199913,29.26199913,0,29.26199913,0,321.8819904 +1977,MN,39,6,101,7,1017,2,1,10005,E004,1,15,7700,1,1, ,160 PEARL STREET,C5-5, , , , , ,LM, , , ,N,O5,5,0,P,160 PEARL ASSOCIATES,4235,22614,22614,0,18614,4000,0,0,0,0,2,1,6,0,8,47.04,97.83,47,88, ,3,Y,5,2,576000,2235150,0,0,1900,1982,0, , ,5.34,10,15,15,1,1000390006,0,7,982178,196390,12b, ,101S006,10101, ,0, ,1, ,1,17V1.1,0,298.0980255,4791.677672,1659150,17,1,1978,1978,22,4950,7.76222229,12.66222286,4.900000572,8.193990014,1.366123826,180.2677803 +1978,MN,348,31,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,105 CLINTON STREET,R8A,C6-2A, , ,C1-5, , , , , ,Y,C7,4,0, ,105 CLINTON CORP,2725,12630,1500,11130,0,1500,0,0,0,0,2,1,6,20,22,25,109,25,97, ,3,N,5,2,202500,768150,0,0,1920,0,0, , ,4.63,6,0,6,1,1003480031,0,1402,988180,200947,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,274.2023647,2859.921181,565650,13,0,1979,1979,13,2925,24.76333427,25.96888924,1.205554962,24.85606927,0.321243453,323.1289005 +1979,MN,227,50,102,47,2006,2,1,10013,L008,1,15,6800,1,2,1A,23 GRAND STREET,M1-5B, , , , , , , , , ,N,K1,5,0,P,PR GRAND HOTEL OWNERC,1659,3385,3385,0,0,3385,0,0,0,0,2,1,1,0,1,32.25,82,0,0, ,1,Y,3,1,450000,1507050,0,0,2008,0,0, , ,2.04,0,5,6.5,1,1002270050,0,47,982885,202598,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,210.466183,1728.219104,1057050,0,1,1980,1980,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +1980,MN,881,64,106,68,5000,2,2,10010,E016,13,14,5300,1,5,1B,71 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,"LEXICON REALTY, LLC",2469,9780,1950,7830,0,1950,0,0,0,0,2,1,5,8,9,24.67,100,25,80, ,3,N,5,2,111221,714595,0,0,1910,1987,0, , ,3.96,6.02,6,6.5,1,1008810064,0,68,988879,209249,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,254.3653125,2499.767311,603374,11,0,1981,1981,11,2475,30.02400017,31.16889,1.144889832,30.21747502,0.411864933,332.3922253 +1981,MN,145,18,101,21,1000,2,1,10013,E007,1,15,7700,1,1,3A,105 READE STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,"PPTC TRIBE, LLC",3741,16822,16822,0,13081,3741,0,0,0,0,2,1,5,0,6,50.25,75.17,50,75, ,3,Y,5,2,237600,1781100,0,0,1920,1986,0,Tribeca South Historic District, ,4.5,7.52,6,7.5,1,1001450018,0,21,981893,200009,12a,Y,101S017,10104, ,0, ,1, , ,17V1.1,0,254.1167036,3867.758608,1543500,14,0,1982,1982,17,3825,21.27222252,23.68111038,2.408887863,21.52806563,0.705245911,365.9771156 +1982,MN,355,38,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,166 NORFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,PSA LESAGE L L C,1943,8898,0,8898,0,0,0,0,0,0,2,1,5,24,24,25,100,25,56, ,2,Y,5,1,180000,1052100,0,0,1930,1986,0, , ,4.58,4,0,4,1,1003550038,0,3001,988176,201919,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,240.5497201,2155.035134,872100,1,0,1983,1983,9,2025,27.44000053,28.30444336,0.864442825,27.55432129,0.270119336,247.9888916 +1983,MN,915,20,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2A,231 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0, ,231 EAST 34TH STREET,2469,9420,1700,7720,0,1700,0,0,0,0,2,1,5,17,19,25,98.75,25,77, ,3,N,5,2,225000,967950,0,0,1900,0,0, , ,3.82,10,2,10,1,1009150020,0,78,990750,210834,8d, ,104 022,10308, ,0, ,1, , 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,17V1.1,0,256.7993927,2600.341974,831150,13,0,1986,1986,12,2700,41.51444626,43.6866684,2.172222137,41.87553883,0.807430841,502.5064659 +1986,MN,633,60,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,113 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,"115 PERRY STREET, LLC",2530,15660,0,15660,0,0,0,0,0,0,2,1,6,19,19,45,70.17,45,56, ,2,Y,5,1,350550,1295100,0,0,1900,1989,0,Greenwich Village Historic District, ,6.19,3.44,2,6.5,1,1006330060,0,75,982455,207140,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,240.7010685,2800.73558,944550,9,0,1987,1987,12,2700,19.46666718,22.83889008,3.3722229,19.91657464,1.04284324,238.9988956 +1987,MN,472,7,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1F,185 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,A4,1,0, ,"RICHARDSON, TERRY",735,2100,0,2100,0,0,0,0,0,0,2,1,3,1,1,20.5,35.42,20.5,35.42, ,3,Y,5,4,43913,119110,0,0,1901,2005,2005,SoHo-Cast Iron Historic District Extensi, ,2.86,0,5,6.5,1,1004720007,0,45,984712,201815,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,115.2291488,756.4693959,75197,0,0,1988,1988,4,900,28.8239994,30.5577774,1.733778,29.2574439,0.750747896,117.0297756 +1988,MN,283,24,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,10 RUTGERS STREET,R7-2, , , ,C1-5, , , , , ,N,D7,4,0, ,RUTGERS/EAST BROADWAY,12002,74453,3150,71303,0,3150,0,0,0,0,2,1,8,83,89,0,0,0,0, ,0,N,3,5,1440000,8035650,0,0,2001,0,0, , ,6.2,3.44,0,6.5,1,1002830024,0,6,986880,199327,12d, ,11N 054,10107, ,1002830018,3/15/2001,1, , ,17V1.1,0,463.794294,12312.60845,6595650,16,0,1989,1989,52,11700,28.23333359,33.89422226,5.660888672,30.71191083,1.449650033,1597.019363 +1989,MN,406,50,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,527 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,527-529 E 12 ST HDFC,5160,23172,0,23172,0,0,0,0,0,0,2,2,6,48,48,49.92,103.25,49.11,89, ,0,N,5,1,270000,1283850,270000,841108,1901,1986,0, , ,4.49,4,0,4,1,1004060050,0,34,989824,204774,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,312.3845528,5302.485135,1013850,12,1,1990,1990,23,5175,12.99333382,14.02777767,1.034443855,13.17406787,0.267731846,303.003561 +1990,MN,883,64,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,134 EAST 28 STREET,C6-2A, , , , , , , , , ,N,S5,4,0, ,134 EAST 28TH HOLDING,1480,5500,1285,4215,0,1285,0,0,0,0,2,1,6,5,6,20,74,20,74, ,3,N,5,1,156689,623172,0,0,1910,1988,0, , ,3.72,6.02,6,6.5,1,1008830064,0,68,989189,209724,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,196.8137171,1579.201419,466483,11,0,1991,1991,7,1575,33.40789032,33.40789032,0,33.40789032,0,233.8552322 +1991,MN,143,15,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,185 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0,P,185 DUANE,1000,5155,1000,4155,0,0,0,1000,0,0,2,1,6,5,6,20.08,50.42,20.08,50.42, ,0,Y,5,5,85732,326469,0,0,1920,0,0,Tribeca West Historic District, ,5.16,6.02,6,6.5,1,1001430015,0,39,981400,200708,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,151.1530114,1178.267736,240737,14,0,1992,1992,6,1350,16.87599945,16.87599945,0,16.87599945,0,101.2559967 +1992,MN,717,47,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,406 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C0,2,0, ,"PUIGARANA, JOSE MARIE",2227,3696,0,2772,0,0,0,0,0,0,2,1,3,3,3,21.42,104,21.42,44, ,2,N,5,1,57419,149299,0,0,1901,0,0,Chelsea Historic District, ,1.66,3,0,3,1,1007170047,0,89,983302,210581,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,253.9822081,2098.355654,91880,7,1,1993,1993,9,2025,9.621110916,15.59000015,5.968889236,12.43312327,2.341683886,111.8981094 +1993,MN,573,34,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,16 WEST 10 STREET,R6, , , , , , , , , ,N,S9,4,0, ,CENTER FOR MODERN PSY,3349,12960,6480,6480,1880,0,0,0,0,4600,2,1,4,6,9,36.33,92.25,36,60, ,0,N,5,5,194321,1045913,77730,418367,1910,1985,0,Greenwich Village Historic District, ,3.87,2.43,0,4.8,1,1005730034,0,63,985188,206573,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,261.5802999,3488.10205,851592,8,0,1994,1994,14,3150,18.98099899,26.84333229,7.862333298,20.20229285,2.44343402,282.8320999 +1994,MN,286,17,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,241 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,GAVALAS NICK,2100,5024,0,5024,0,0,0,0,0,0,2,1,5,10,10,23.08,80,23,66, ,3,N,5,2,85967,331367,0,0,1900,1985,2005, , ,2.39,3.44,0,6.5,1,1002860017,0,201,988230,199386,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,214.5800444,1931.947618,245400,13,0,1995,1995,10,2250,29.71888924,33.83778,4.118890762,30.74888935,1.506013602,307.4888935 +1995,MN,889,33,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,161 EAST 33 STREET,R8B, , , , , , , , , ,N,S4,4,0, ,IFARCO INC,1975,3520,850,2670,0,850,0,0,0,0,2,1,4,4,5,20,98.25,20,44, ,3,N,5,5,158056,366234,0,0,1910,0,0, , ,1.78,4,0,4,1,1008890033,0,72,990027,210895,8d, ,104 020,10307, ,1008890032,9/25/1991,1, , ,17V1.1,0,242.35512,2069.055997,208178,10,0,1996,1996,9,2025,24.63888931,28.91333389,4.27444458,25.1138276,1.343328333,226.0244484 +1996,MN,445,16,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,100 EAST 4 STREET,R8B, , , , , , , , , ,N,W9,8,0,P,FANFARE THEATRE ENS I,1803,3400,3400,0,0,1803,0,0,0,1597,2,1,3,0,3,18.75,96.17,19,54,E,2,N,5,2,159300,294300,0,0,1900,1986,0, , ,1.89,4,0,4,1,1004450016,0,38,987392,203641,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,234.686576,1810.763942,135000,1,0,1997,1997,8,1800,29.97444344,34.99888611,5.024442673,31.64023495,1.726225562,253.1218796 +1997,MN,871,27,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,127 EAST 15 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,MOSER EVE,1291,2664,708,1956,0,708,0,0,0,0,2,1,4,2,3,12.5,103.25,12.5,52, ,3,N,5,5,64083,111132,1550,1550,1920,0,0, , ,2.06,4,0,4,1,1008710027,0,50,987662,206930,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,240.3485351,1377.902947,47049,5,0,1998,1998,6,1350,33.78900146,33.78900146,0,33.78900146,0,202.7340088 +1998,MN,279,68,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,2 OLIVER STREET,C6-1G, , , , , ,TA, , , ,N,M2,8,0,P,MARINER'S TEMPLE ETAL,1360,3600,3600,0,0,0,0,0,0,3600,2,1,3,0,1,20,68.25,20,57,E,2,Y,5,2,125550,650700,0,0,1900,1958,0, , ,2.65,3.44,6,6.5,1,1002790068,0,27,984841,199082,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,179.372129,1393.515552,525150,16,0,1999,1999,6,1350,27.60099983,27.60099983,0,27.60099983,0,165.605999 +1999,MN,443,28,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,83 EAST 2 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,83 EAST SECOND OWNERS,2083,5000,0,5000,0,0,0,0,0,0,2,1,5,2,2,25,83.33,25,40,E,3,Y,5,2,68932,180454,0,0,1900,2006,0, , ,2.4,4,0,4,1,1004430028,0,3602,987384,203054,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,216.994419,2062.780291,111522,1,0,2000,2000,10,2250,31.19000053,32.82888794,1.638887405,31.59818859,0.432709979,315.9818859 +2000,MN,834,49,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,4 WEST 33 STREET,C6-4, , , , , , , , , ,N,O6,5,0, ,A.C. MANAGEMENT EQUIT,27300,319200,319200,0,294200,25000,0,0,0,0,2,1,12,0,133,200,197.5,200,198, ,3,Y,4,2,14175000,39015000,0,0,1914,0,0, , ,11.69,10,10,10,1,1008340049,0,76,988186,211737,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,1020.108049,28871.51365,24840000,10,0,2001,2001,126,28350,45.07400131,47.48555374,2.411552429,45.92621955,0.330841272,5786.703663 +2001,MN,148,15,101,33,2009,2,1,10013,E007,1,15,7700,1,1,3A,40 WORTH STREET,C6-4,C6-2A, , , , ,TMU, , , ,Y,O6,5,0,P,40 WORTH ASSOCIATES,43492,702815,702815,0,687815,15000,0,0,0,0,2,1,16,0,58,324.83,180.19,325,180, ,3,Y,3,2,6795000,53507250,0,0,1929,0,0, , ,16.16,10,10,10,1,1001480015,0,33,982312,200527,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,1027.414956,44962.14621,46712200,14,0,2002,2002,200,45000,12.86199951,23.45999908,10.59799957,14.55654328,1.433734239,2911.308657 +2002,MN,857,17,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,62 MADISON AVENUE,C5-2, , , , , , , , , ,N,H3,5,0, ,MAVE HOTEL INVESTORS,2351,24608,2200,0,0,2200,0,0,0,0,2,1,11,0,2,24.75,95,24,95,E,2,N,3,2,990000,6385500,0,0,1903,2009,0, , ,10.47,10,10,10,1,1008570017,0,56,988035,210187,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,256.3668824,2744.256266,5395500,11,0,2003,2003,12,2700,35.94333267,36.04399872,0.100666046,36.03560988,0.027822625,432.4273186 +2003,MN,778,43,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,330 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0, ,SUPER NOVA 330,12560,240534,240534,0,230534,10000,0,0,0,0,2,1,21,0,104,123.75,101.5,123.75,101, ,0,Y,3,2,3411000,26605800,0,0,1929,0,0, , ,19.15,0,10,10,1,1007780043,0,95,986086,211708,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,455.7634729,12792.0735,23194800,6,0,2004,2004,58,13050,28.45999908,33.37111282,4.911113739,28.876505,1.286788543,1674.83729 +2004,MN,790,64,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,150 WEST 15 STREET,R8B, , , , , , , , , ,N,A0,1,0, ,GLENWAL LLC,2000,10597,0,10597,0,0,0,0,0,0,2,1,6,1,1,20,100,20,67,E,3,N,5,5,63638,329292,0,0,1920,1989,2009, , ,5.3,4,0,4,1,1007900064,0,81,984653,208416,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,245.9753715,2129.372805,265654,7,0,2005,2005,10,2250,27.73777771,29.17777824,1.440000534,28.03699989,0.494675631,280.3699989 +2005,MN,776,65,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,250 WEST 27 STREET,C6-2A, , , , , , , , , ,N,D0,3,0,P,27TH ST APT CORP,10878,66636,3765,62871,0,3765,0,0,0,0,2,1,6,79,82,60.42,99.5,100,92, ,3,Y,5,2,945000,5673150,150102,150102,1918,1987,0, , ,6.13,6.02,6,6.5,1,1007760065,0,95,985321,211557,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,432.9325063,11605.86677,4728150,2,0,2006,2006,50,11250,26.70400047,27.39711189,0.69311142,26.74044933,0.140598313,1337.022467 +2006,MN,924,57,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,316 EAST 19 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,316 E. 19TH REALTY CO,1924,3201,0,3201,0,0,0,0,0,0,2,1,3,8,8,20.92,92,21,52, ,3,N,5,1,54112,231344,0,0,1930,1988,0, , ,1.66,3,0,3,1,1009240057,0,48,989204,207041,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.627614,1951.868696,177232,5,0,2007,2007,9,2025,14.83555603,17.11000061,2.27444458,15.44567935,0.883192943,139.0111141 +2007,MN,391,3,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,131 AVENUE B,R7A, , , , , , , , , ,N,C6,2,0, ,TOMPKINS PK MANSION O,6541,22117,0,22117,0,0,0,0,0,0,2,1,6,18,18,70.33,93,40,75, ,2,N,5,2,225000,1695150,16520,16520,1940,0,0, , ,3.38,4,0,4,1,1003910003,0,2602,989701,203725,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,334.814188,6867.81391,1470150,12,1,2008,2008,29,6525,8.318888664,13.3577776,5.038888931,9.682061162,2.060999031,280.7797737 +2008,MN,557,1,102,61,3004,2,2,10003,E033,9,15,5700,1,2,3A,788 BROADWAY,C6-1, , , , , , , , , ,N,M1,8,0,X,THE RECTOR CHURCH,35915,73060,73060,0,0,0,0,0,0,73060,2,1,1,0,1,189.08,152.67,100,150, ,0,Y,3,5,5580000,11244150,5580000,11244150,1900,0,0, ,GRACE CHURCH,2.03,3.44,6,6.5,1,1005570001,0,61,986787,205945,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,967.3819419,45330.00249,5664150,12,0,2009,2009,203,45675,41.29888916,45.15777969,3.858890533,41.92568211,0.970394809,8510.913467 +2009,MN,613,10,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,250 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,LAIRD JOANNE,806,2568,0,1904,0,0,0,0,0,0,2,1,3,2,2,16.58,48.58,16.58,40, ,3,N,5,1,42570,114462,1550,1550,1899,0,0,Greenwich Village Historic District, ,3.19,2.43,0,4.8,1,1006130010,0,73,983326,207448,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,134.4372357,873.6801827,71892,8,0,2010,2010,4,900,25.34199905,26.27133179,0.929332733,25.57433224,0.402412878,102.2973289 +2010,MN,482,19,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,68 SPRING STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,68-70 SPRING PARTNERS,4696,5553,5553,0,600,4953,0,0,0,0,2,1,1,0,4,49.98,94.08,50,94, ,3,Y,5,2,540000,2001150,0,0,1910,1997,0, , ,1.18,0,5,6.5,1,1004820019,0,45,984903,202429,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,301.3513316,5064.889858,1461150,0,0,2011,2011,22,4950,30.94300079,35.27222443,4.329223633,31.33197056,1.230124857,689.3033524 +2011,MN,791,31,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,115 WEST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,COATES COURT INC,2582,5803,0,5803,0,0,0,0,0,0,2,2,4,11,11,25,103.25,23,43, ,0,N,5,5,152100,585900,9440,9440,1911,0,0, , ,2.25,4,0,4,1,1007910031,0,81,985096,208352,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,261.8573833,2550.504879,433800,7,0,2012,2012,11,2475,27.87888908,32.65444565,4.775556564,28.68131343,1.709191981,315.4944477 +2012,MN,618,31,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,202 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C4,2,0,P,202 W. 14 REALTY,2581,6400,1935,4465,0,1935,0,0,0,0,2,1,5,6,8,25,103.25,25,50,E,0,N,5,5,131714,388724,0,45240,1910,0,0, , ,2.48,6.02,6,6.5,1,1006180031,0,77,984147,208343,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,261.0508889,2694.730385,257010,8,0,2013,2013,11,2475,22.30444527,22.30444527,0,22.30444527,0,245.3488979 +2013,MN,835,64,105,76,1001,2,4,10001,L024,14,15,5200,1,5,2B,38 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K4,4,0, ,ASHOK LTD,2469,9720,9720,0,7320,2400,0,0,0,0,2,1,5,0,2,25,98.75,25,94,E,3,N,5,2,765000,1849950,0,0,1930,1987,0, , ,3.94,10,15,15,1,1008350064,0,76,987884,212199,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,262.7709225,2659.623221,1084950,10,0,2014,2014,13,2925,45.85200119,48.20222473,2.350223541,46.12870202,0.684046494,599.6731262 +2014,MN,306,30,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,77 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,M1,8,0,P,NEWYORK DISTRIT OF AS,2924,6500,6500,0,0,0,0,0,0,6500,2,1,2,0,1,29.17,100,29,92,E,2,N,5,2,265500,873450,265500,873450,1930,0,0, , ,2.22,3.44,6,6.5,1,1003060030,0,16,986238,200510,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,262.8095333,2915.93525,607950,13,0,2015,2015,13,2925,37.59777832,43.19444275,5.596664429,39.10067573,2.273188032,508.3087845 +2015,MN,624,49,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,310 WEST 4 STREET,R6, , , , , , , , , ,N,C7,4,0,P,310 WEST FOURTH ASSOC,1950,9000,1500,7500,0,1500,0,0,0,0,2,1,5,15,16,36.08,56.75,36,56, ,3,Y,5,1,450000,1336500,0,0,1905,1984,0,Greenwich Village Historic District, ,4.62,2.43,0,4.8,1,1006240049,0,77,983145,207882,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,178.8966789,1845.098722,886500,8,0,2016,2016,10,2250,20.58111191,20.58111191,0,20.58111191,0,205.8111191 +2016,MN,450,45,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,59 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,CHABAN BOHDAN J,2348,6572,0,6572,0,0,0,0,0,0,2,1,4,9,9,25,93.92,25,60, ,3,N,5,1,85960,343475,0,0,1900,0,0, , ,2.8,4,0,4,1,1004500045,0,38,988042,204606,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,231.0661309,2257.423712,257515,12,0,2017,2017,9,2025,25.4810009,27.57999992,2.098999023,25.71422301,0.659651753,231.4280071 +2017,MN,454,34,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,350 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,350 EAST 13 REALTY LL,2168,8090,1500,6590,0,1500,0,0,0,0,2,1,5,9,10,21,103.25,21,80, ,3,N,5,2,40846,149087,0,0,1900,1987,0, , ,3.73,4,0,4,1,1004540034,0,40,988755,205488,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,256.3389302,2282.070411,108241,12,0,2018,2018,9,2025,22.37666702,23.51111031,1.134443283,22.50271628,0.356521128,202.5244465 +2018,MN,826,65,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,40 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,UNIZO REAL ESTATE NY,10221,128965,121704,7261,99000,22704,0,0,0,0,2,2,12,0,14,103.5,98.75,89,104,E,3,N,5,2,2196000,16238250,0,0,1913,2012,0, , ,12.62,0,10,10,1,1008260065,0,58,986725,210190,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,409.7167737,10489.90113,14042300,2,0,2019,2019,46,10350,33.45800018,41.12333298,7.665332794,34.20402436,2.159892234,1573.38512 +2019,MN,701,1,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,302 11 AVENUE,C6-3,C6-4, , , , ,WCH, , , ,Y,E7,6,0,P,WEST 29TH MINISTORAGE,27950,213330,213330,0,0,0,0,213330,0,0,2,3,9,0,1,123.42,258.33,74,246, ,3,Y,3,2,1886850,10107900,0,0,1913,1986,0, , ,7.63,7.52,6,10,1,1007010001,0,99,983255,213474,8b, ,105S015,10302,E-142,0, ,1, ,1,17V1.1,0,772.1204753,29045.14393,8221050,6,1,2020,2020,129,29025,10.46777821,15.59777832,5.130000114,13.24597765,0.711217446,1708.731117 +2020,MN,498,7,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,561 BROADWAY,M1-5B, , , , , , , , , ,N,O9,5,0, ,SINGER STUDIO CORP,8787,114488,76088,38400,49600,8000,0,18488,0,0,2,1,12,14,35,50,137.5,50,138, ,3,Y,4,2,1975500,14496300,0,0,1904,1989,0,SoHo-Cast Iron Historic District, ,13.03,0,5,6.5,1,1004980007,0,49,984719,203108,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,496.9191644,9311.925885,12520800,0,0,2021,2021,40,9000,29.75499916,37.45555496,7.700555801,30.07436028,1.422702061,1202.974411 +2021,MN,826,55,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,18 WEST 25 STREET,M1-6, , , , , , , , , ,N,H3,5,0,P,BMF HOTEL CORP,4906,42714,1000,0,0,1000,0,0,0,0,2,2,11,0,3,50,98.75,50,92, ,3,N,5,2,2587500,7401150,0,0,1920,1987,0, , ,8.71,0,10,10,1,1008260055,0,58,986989,210044,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,302.2023631,5055.023071,4813650,2,0,2022,2022,22,4950,33.45800018,43.3144455,9.856445313,33.90602042,2.053086669,745.9324493 +2022,MN,460,27,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,232 EAST 5 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"MCCALLION, PETER TR",2020,4884,0,4884,0,0,0,0,0,0,2,1,4,6,6,21,96.17,21,57, ,3,N,5,5,49569,198088,0,0,1929,0,0,East Village/Lower East Side Historic Di, ,2.42,4,0,4,1,1004600027,0,38,987034,204128,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,238.3126137,2041.557779,148519,1,0,2023,2023,8,1800,35.65444565,37.79777908,2.143333435,35.92236233,0.708840906,287.3788986 +2023,MN,545,10,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,716 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,WASHINGTON PLACE APT,3440,15000,2500,12500,0,2500,0,0,0,0,2,1,6,5,6,25,137.58,25,100,E,3,N,5,2,370845,1271010,2360,2360,1900,1985,2009,NoHo Historic District, ,4.36,0,5,6.5,1,1005450010,0,57,986076,204824,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,338.2298041,3660.412444,900165,9,0,2024,2024,16,3600,38.29555511,43.11000061,4.814445496,38.66358304,1.176999665,618.6173286 +2024,MN,641,36,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,777 WASHINGTON STREET,C4-4A, , , , , , , , , ,N,A4,1,0,P,777 WASHINGTON LLC,6325,17422,0,17422,0,0,0,0,0,0,2,1,3,1,1,70.42,88.42,70.42,88.42, ,2,Y,3,5,550831,1625732,0,0,1948,1986,2008,Greenwich Village Historic District, ,2.75,4,4,4,1,1006410036,0,79,982062,208144,8b, ,103 014,10210,E-4,0, ,1, ,1,17V1.1,0,336.7379262,6990.03415,1074900,8,1,2025,2025,30,6750,12.14666653,12.31777763,0.171111107,12.27681456,0.025100168,368.3044367 +2025,MN,903,33,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,393 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S3,4,0, ,393 SECOND ACQUISITIO,1570,4810,1336,3474,0,1336,0,0,0,0,2,1,4,3,4,20,78.5,20,78,E,3,N,5,5,300140,701119,0,0,1910,0,0, , ,3.06,10,2,10,1,1009030033,0,64,989416,208064,12c,Y,104 007,10308,E-8,0, ,1, , ,17V1.1,0,201.3522312,1632.286275,400979,11,0,2026,2026,7,1575,19.86555672,19.86555672,0,19.86555672,0,139.058897 +2026,MN,230,7501,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,9 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5675,22513,7577,14936,7577,0,0,0,0,0,2,1,5,6,8,0.13,0,0,0, ,0,N,0,5,208911,3047938,4720,4720,1870,0,0,SoHo-Cast Iron Historic District, ,3.97,0,5,6.5,1,1002307501,975,47,983600,201799,12a, ,101N046,10105, ,1002300040,12/24/1997,1, , ,17V1.1,7,324.359717,6042.9357,2839030,0,1,2027,2027,26,5850,11.39777756,11.39777756,0,11.39777756,0,296.3422165 +2027,MN,614,35,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,233 WEST 11 STREET,R6, , , , , , , , , ,N,B3,1,0, ,MORRIS ADJMI,1660,3360,0,2520,0,0,0,0,0,0,2,1,2,2,2,20,97,20,42, ,3,Y,5,1,49278,179864,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006140035,0,77,983506,207610,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,238.6459396,1969.621564,130586,8,0,2028,2028,9,2025,26.80333328,29.46777725,2.66444397,27.23728371,0.842999827,245.1355534 +2028,MN,592,29,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,165 WEST 4 STREET,R6,R7-2, , ,C1-5, , , , , ,Y,C7,4,0, ,SOUTH NEW YORK VENTUR,4875,20670,3445,17225,0,3445,0,0,0,0,2,1,6,31,34,63,70.5,63,75, ,3,Y,5,2,589500,3558600,0,0,1900,1989,0,Greenwich Village Historic District, ,4.24,2.43,0,4.8,1,1005920029,0,71,983888,206045,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,283.3920691,4979.152875,2969100,9,0,2029,2029,21,4725,17.50333405,17.87000084,0.366666794,17.53402183,0.095575425,368.2144585 +2029,MN,615,10,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,319 WEST 4 STREET,R6, , , , , , , , , ,N,C6,2,0, ,280 W 12TH STREET OWN,1280,6020,0,6020,0,0,0,0,0,0,2,1,4,10,10,20,75.33,20,74, ,2,Y,3,2,164304,493533,0,0,1910,0,0,Greenwich Village Historic District, ,4.7,2.43,0,4.8,1,1006150010,0,77,983239,207949,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,192.4599983,1435.456204,329229,8,0,2030,2030,6,1350,23.05999947,23.31333351,0.253334045,23.13740699,0.110147233,138.8244419 +2030,MN,480,34,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,183 MOTT STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,LAU'S IV FAMILY LIMIT,2542,10160,810,9350,0,810,0,0,0,0,2,1,5,16,17,25.42,100,25,86, ,3,Y,5,2,57600,1068750,0,0,1900,0,0, , ,4,3.44,6,6.5,1,1004800034,0,41,985337,201870,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,261.2746042,2798.199867,1011150,0,0,2031,2031,13,2925,33.11000061,39.25888824,6.148887634,33.58299197,1.638490122,436.5788956 +2031,MN,209,34,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,273 CANAL STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,GREAT CANAL REALTY CO,4995,29956,29956,0,25000,4956,0,0,0,0,2,1,5,0,5,25,202.17,25,195, ,3,Y,5,2,526500,3327300,0,0,1915,2003,0,SoHo-Cast Iron Historic District Extensi, ,6,0,5,6.5,1,1002090034,0,45,983969,201337,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,478.2179781,5306.509825,2800800,0,0,2032,2032,23,5175,11.84555531,13.55533409,1.709778786,11.91989351,0.348677103,274.1575508 +2032,MN,64,9,101,15.02,1009,2,1,10038,E004,1,15,7700,1,1,1B,59 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,O2,5,0,P,MEGA INTERNATIONAL CO,7878,30681,30681,0,30681,0,0,0,0,0,2,1,5,0,2,83.42,91.25,83,91, ,3,Y,3,2,1174500,2914200,0,0,1901,0,0, ,CHAMBER OF COMMERCE BUILDING,3.89,10,15,15,1,1000640009,0,1502,981572,197580,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,367.7946101,8368.407015,1739700,4,0,2033,2033,38,8550,29.95899963,34.74000168,4.781002045,30.12157867,0.791487262,1144.619989 +2033,MN,437,23,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,284 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"284 EAST ASSOCIATES,L",2306,9355,0,9355,0,0,0,0,0,0,2,1,5,20,20,25,92.25,25,75, ,3,N,5,2,192600,1195650,0,0,1954,1988,0, , ,4.06,4,0,4,1,1004370023,0,34,988973,204476,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,237.5411278,2407.82684,1003050,12,0,2034,2034,10,2250,17.51666641,17.70200157,0.185335159,17.53519993,0.055600548,175.3519993 +2034,MN,485,32,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,71 MERCER STREET,M1-5A, , , , , , , , , ,N,S5,4,0, ,NOAH TRADING CO,2517,14323,2400,11923,0,2400,0,0,0,0,2,1,6,6,7,25.17,100,25,100, ,3,N,5,2,108456,400995,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,5.69,0,5,6.5,1,1004850032,0,49,984099,202572,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,257.2367004,2602.906632,292539,0,0,2035,2035,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +2035,MN,898,21,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,237 EAST 17 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,DEGIDIO DAVID,3016,6233,0,6233,0,0,0,0,0,0,2,1,5,15,15,29,104,29,86,E,3,N,5,1,70650,716850,9440,9440,1920,1977,0,Stuyvesant Square Historic District, ,2.07,3,0,3,1,1008980021,0,48,988636,206976,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,276.8359026,3246.509622,646200,5,0,2036,2036,14,3150,22.7840004,23.89999962,1.115999222,22.86371463,0.287413744,320.0920048 +2036,MN,273,20,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,197 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SILVERSHORE PROPERTIE,2115,11321,1991,9330,0,1991,0,0,0,0,2,1,6,20,24,25,84.58,25,79,E,0,N,3,5,94500,1353600,0,0,1901,0,0, , ,5.35,3.44,0,6.5,1,1002730020,0,6,986942,198955,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,229.2633817,2368.904482,1259100,16,0,2037,2037,10,2250,23.87533379,23.87533379,0,23.87533379,0,238.7533379 +2037,MN,935,44,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,330 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"PEDERSEN, PATRICIA F",2074,4940,0,4940,0,0,0,0,0,0,2,1,4,3,3,21,98.75,21,45, ,3,N,5,2,50158,158400,1550,1550,1920,2006,0, , ,2.38,3,0,3,1,1009350044,0,70,990762,209425,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,245.0767748,2133.167101,108242,10,0,2038,2038,9,2025,35.01100159,37.21922302,2.208221436,35.60677846,0.840841987,320.4610062 +2038,MN,849,30,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,43 EAST 20 STREET,M1-5M, , , , , , , , , ,N,S9,4,0,P,FORTY THREE EAST,2300,16571,7000,9571,0,2000,0,0,0,5000,2,1,8,4,8,25,92,25,91,E,3,N,5,2,138008,824772,0,0,1901,1987,2009,Ladies' Mile Historic District, ,7.2,0,5,6.5,1,1008490030,0,52,987456,208457,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,243.2026357,2404.979129,686764,5,0,2039,2039,10,2250,34.69888687,34.69888687,0,34.69888687,0,346.9888687 +2039,MN,896,38,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,220 EAST 15 STREET,R7B, , , , , , , , , ,N,M1,8,0,X,NEW YORK QUARTERLY ME,3098,13535,13535,0,0,0,0,0,0,13535,2,1,5,0,1,30,103.25,30,103.25, ,3,N,5,2,274050,737550,274050,737550,1910,0,0, , ,4.37,3,0,3,1,1008960038,0,48,988192,206453,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,267.7200179,3115.793441,463500,5,0,2040,2040,13,2925,26.69333267,31.34777832,4.654445648,27.3678627,1.585454069,355.7822151 +2040,MN,882,30,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,81 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S1,4,0, ,MANHATTAN DOUBLE E.RE,1580,3713,1337,2376,0,1337,0,0,0,0,2,1,3,1,2,19.75,80,19.75,80, ,0,N,3,5,123159,165147,0,0,1910,2009,0, , ,2.35,6.02,6,6.5,1,1008820030,0,68,988944,209388,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,207.5983853,1775.494362,41988,11,0,2041,2041,7,1575,31.85222244,32.34444427,0.492221832,31.92253985,0.172241761,223.4577789 +2041,MN,469,7502,103,40,1000,1,2,10003,L003,9,14,6200,4,3, ,111 3 AVENUE,C1-9A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,10512,125097,11167,113930,0,11167,0,0,0,0,2,3,17,155,157,121,100,0,0, ,0,Y,5,5,1899000,15418350,106260,106260,1964,1987,0, , ,11.9,10,2,10,1,1004697502,493,40,987814,206263,12c, ,102 026,10205, ,1004690004,1/5/1988,1, , ,17V1.1,7,446.609341,10792.60502,13519400,12,0,2042,2042,49,11025,35.85222244,37.42333221,1.571109772,36.60012342,0.204444156,1793.406048 +2042,MN,889,22,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,141 EAST 33 STREET,C1-9,R8B, , , , , , , , ,Y,D6,4,0, ,SP 141 E 33 LLC,9522,102487,5910,96577,910,5000,0,0,0,0,2,1,16,120,125,76,129,70,124,E,2,Y,3,2,1957500,11537100,0,0,1960,1988,0, , ,10.76,10,2,10,1,1008890022,0,72,989851,210978,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,419.9124711,10031.33742,9579600,10,0,2043,2043,45,10125,31.66399956,37.27666855,5.612668991,31.98780217,1.140878364,1439.451097 +2043,MN,530,40,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,332 BOWERY,C6-1, , , , , , , , , ,N,S9,4,0, ,332 BOWERY LLC C/O RO,2507,7325,3035,4290,0,3035,0,0,0,0,2,1,4,4,6,26,104,27,55, ,3,Y,5,5,84574,469135,0,0,1915,2005,0,NoHo Historic District Extension, ,2.92,3.44,6,6.5,1,1005300040,0,5502,986373,203772,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,265.907204,2739.527162,384561,9,0,2044,2044,12,2700,43.14099884,43.14099884,0,43.14099884,0,517.6919861 +2044,MN,883,11,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,115 EAST 27 STREET,C4-5A, , , , , , , , , ,N,C7,4,0, ,SCHUBE LIMITED PARTNE,3300,13095,900,12195,400,500,0,0,0,0,2,1,5,18,20,33.33,98.75,33,87, ,3,N,5,2,205200,1439100,0,0,1930,1985,0, , ,3.97,4,4,4,1,1008830011,0,68,988777,209820,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,275.8533074,3602.423814,1233900,11,0,2045,2045,16,3600,33.29444504,33.29444504,0,33.29444504,0,532.7111206 +2045,MN,450,8,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,144 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,O5,5,0, ,PLAST FOUNDATION INC,3354,10062,10062,0,6782,3280,0,0,0,0,2,1,3,0,4,26.83,125,27,123, ,3,N,3,2,405000,1039500,236519,501203,1920,0,0, , ,3,4,0,4,1,1004500008,0,38,987861,204852,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,315.7412327,3723.66928,634500,12,0,2046,2046,16,3600,25.4810009,32.91555405,7.434553146,27.36453533,2.90808928,437.8325653 +2046,MN,504,29,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,116 SULLIVAN STREET,R7-2, , , , , , , , , ,N,B1,1,0,P,SULLIVAN STREET HOUSE,2350,5446,0,5446,0,0,0,0,0,0,2,1,4,2,2,23.5,100,24,52, ,3,N,5,1,79602,437136,0,0,1900,2013,2008,Sullivan-Thompson Historic District,116 SULLIVAN STREET,2.32,3.44,0,6.5,1,1005040029,0,49,983436,203839,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,257.3384635,2596.878027,357534,0,0,2047,2047,11,2475,17.73666573,23.81999969,6.083333969,18.4403123,1.765980622,202.8434353 +2047,MN,567,32,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,5 EAST 9 STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,5 EAST 9 ST OWNERS CO,2307,7603,2275,5328,0,2275,0,0,0,0,2,1,3.5,3,4,25,92.25,25,91,E,3,N,5,1,163610,558723,0,0,1938,2005,0,Greenwich Village Historic District, ,3.3,3.44,0,6.5,1,1005670032,0,59,985581,206247,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,236.5311729,2369.530547,395113,8,0,2048,2048,10,2250,27.86444473,27.86444473,0,27.86444473,0,278.6444473 +2048,MN,765,19,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,231 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,231 W 15 REALTY LLC,2581,7008,0,7008,0,0,0,0,0,0,2,1,4,16,16,25,103.25,25,78, ,3,N,5,2,128700,627300,0,0,1901,1963,0, , ,2.72,4,0,4,1,1007650019,0,81,984143,208879,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.8341221,2587.712137,498600,7,0,2049,2049,11,2475,22.05333328,28.54000092,6.486667633,24.88010094,3.104666016,273.6811104 +2049,MN,746,7505,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,322 WEST 23 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, ,"CURRY, WARREN S.",4320,18332,4986,13346,4986,0,0,0,0,0,2,1,8,11,12,43.75,98.75,0,0, ,0,N,0,5,522451,3553201,4720,4720,1911,0,0, , ,4.24,4,2,4,1,1007467505,875,93,984376,210860,8d, ,15S 007,10303, ,1007460055,9/1/1994,1, , ,17V1.1,7,303.7959561,4870.024514,3030750,2,0,2050,2050,23,5175,15.97222233,19.92888832,3.956665993,16.53671501,1.296117149,380.3444452 +2050,MN,575,35,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,38 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,J UPHAM,2160,5400,0,4320,0,0,0,0,0,0,2,1,4,1,1,20.92,103.25,20.92,54, ,3,N,5,1,82753,296360,1550,1550,1901,0,0,Greenwich Village Historic District, ,2.5,2.43,0,4.8,1,1005750035,0,63,985314,207087,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,255.0243081,2238.939608,213607,8,0,2051,2051,10,2250,24.42399979,27.85088921,3.42688942,25.39044437,1.480011433,253.9044437 +2051,MN,485,17,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,118 SPRING STREET,M1-5A, , , , , , , , , ,N,D7,4,0,P,118 SPRING ST PARTNER,1164,9103,3472,5631,2328,1144,0,0,0,0,2,1,7,5,7,22.25,52.33,22,52, ,3,N,5,2,261900,1956150,0,0,1920,1979,0,SoHo-Cast Iron Historic District, ,7.82,0,5,6.5,1,1004850017,0,49,984216,202871,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,154.8348908,1249.822855,1694250,0,0,2052,2052,6,1350,17.71444511,25.16777802,7.453332901,18.95666726,2.777693171,113.7400036 +2052,MN,344,40,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,110 RIDGE STREET,R7A, , , , , , , , , ,N,K1,5,0, ,110 RIDGE ST VENTURE,976,1900,976,924,0,976,0,0,0,0,2,1,1,0,1,21,46.5,21,46.5, ,3,N,5,2,63000,345600,0,0,1910,2003,2011, , ,1.95,4,0,4,1,1003440040,0,2201,988942,201170,12c, ,102 005,10201, ,1003440040,3/29/2005,1, , ,17V1.1,0,142.7111687,1046.99497,282600,1,0,2053,2053,4,900,17.48900032,21.91977692,4.430776596,18.59669447,1.918582545,74.38677788 +2053,MN,441,29,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,223 AVENUE A,C1-6A, , , , , , , , , ,N,K1,5,0, ,PATTWIN EAST REALTY C,4564,4561,4561,0,0,4561,0,0,0,0,2,1,1,0,6,91,50,89,49, ,3,Y,3,2,540000,1262700,0,0,1951,0,0, , ,1,4,2,4,1,1004410029,0,34,989584,205362,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,295.1124207,4962.471686,722700,12,0,2054,2054,23,5175,16.39666748,17.24777794,0.851110458,16.49087027,0.24585162,379.2900162 +2054,MN,452,23,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,330 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"IBIS, L.P.",2369,9172,1835,7337,0,1835,0,0,0,0,2,1,5,19,21,25,94.75,25,70, ,3,N,5,2,213750,1358100,0,0,1900,1988,0, , ,3.87,4,0,4,1,1004520023,0,40,988416,205071,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,242.0321064,2399.449726,1144350,12,0,2055,2055,11,2475,22.86222267,25.63888931,2.776666641,23.34868726,1.03284747,256.8355598 +2055,MN,622,19,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,394 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,376 BLEECKER STREET L,950,2334,770,1564,0,770,0,0,0,0,2,1,3,2,3,19.08,50,19.08,50.83, ,3,N,5,5,26821,88621,0,0,1901,0,0,Greenwich Village Historic District, ,2.46,3.44,2,6.5,1,1006220019,0,73,982811,207266,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,138.1196244,893.0700624,61800,8,0,2056,2056,4,900,22.42000008,25.78888893,3.368888855,23.26222229,1.458771665,93.04888916 +2056,MN,150,6,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,66 READE STREET,C6-2A, , , , , , , , , ,N,D7,4,0, ,"HIEBER READE STREET,",3929,22207,3326,18881,0,3326,0,0,0,0,2,1,6,5,7,50.25,77.96,50,78, ,3,Y,5,2,253228,997758,0,0,1880,2016,2016,Tribeca South Historic District, ,5.65,6.02,6,6.5,1,1001500006,0,33,982403,199858,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,259.6577894,3990.352026,744530,14,0,2057,2057,17,3825,23.54111099,23.54111099,0,23.54111099,0,400.1988869 +2057,MN,204,22,102,41,3002,2,1,10013,L006,5,15,6800,1,2,1F,49 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,L8,6,0, ,HENRY CHAN ELIZABETHS,4736,25200,25200,0,4200,8400,0,0,12600,0,2,1,6,0,7,50,94.5,50,84, ,3,Y,5,2,333000,1602900,0,0,1900,0,0, , ,5.32,6.02,6,6.5,1,1002040022,0,41,985117,200564,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,292.8940369,4869.881207,1269900,0,0,2058,2058,22,4950,36.00444412,42.41222382,6.407779694,36.29570684,1.334733431,798.5055504 +2058,MN,822,78,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,668 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K4,4,0,P,668 AVE LLC,1478,6673,4720,1953,0,4720,0,0,0,0,2,1,4,2,4,20,73.75,20,71,E,3,N,5,2,202050,1415700,0,0,1920,2014,0,Ladies' Mile Historic District, ,4.51,6.02,6,6.5,1,1008220078,0,54,986021,209356,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,192.6796843,1526.791303,1213650,7,0,2059,2059,7,1575,34.23199844,35.78555679,1.55355835,34.45393535,0.543632177,241.1775475 +2059,MN,128,2,101,21,2006,2,1,10007,L010,1,15,7700,1,1,1A,101 BARCLAY STREET,C6-4, , , , , ,LM, , , ,N,O4,5,0,C,4101 AUSTIN BOULEVARD,103043,1133548,1133548,0,1059466,9484,0,64598,0,0,2,1,26,0,10,289.12,343.92,236,324, ,1,Y,3,2,17010000,106727850,0,0,1983,2001,0, , ,11,10,10,10,1,1001280002,0,21,980858,199592,12b, ,101S015,10104, ,0, ,1,1,1,17V1.1,0,1461.607223,103356.8555,89717800,3,1,2060,2060,459,103275,8.302222252,11.19888878,2.896666527,8.742849383,0.617074588,4012.967867 +2060,MN,233,9,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,135 GRAND STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,KEE YIP REALTY CORP,2007,13300,13300,0,11300,2000,0,0,0,0,2,1,7,0,6,25.08,80.08,25,80, ,3,Y,5,2,144000,1044000,0,0,1920,1983,0,SoHo-Cast Iron Historic District Extensi, ,6.63,0,5,6.5,1,1002330009,0,45,984298,201656,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,221.6062259,2273.991136,900000,0,0,2061,2061,11,2475,17.40800095,23.25333405,5.845333099,18.1180413,1.718451975,199.2984543 +2061,MN,622,40,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,274 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,"274 OWNERS, INC.",2573,6190,0,6190,0,0,0,0,0,0,2,1,4,10,10,25.67,100.25,26,56,E,3,Y,5,1,139797,419904,4720,4720,1915,1976,0,Greenwich Village Historic District, ,2.41,2.43,0,4.8,1,1006220040,0,73,983032,207365,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,256.0995908,2475.698339,280107,8,0,2062,2062,11,2475,24.5988884,27.1455555,2.546667099,25.14657541,0.845123863,276.6123295 +2062,MN,903,7503,106,64,1001,2,2,10010,E005,13,14,5900,1,6, ,289 3 AVENUE,C2-8A, , , , , , , , , ,N,RM,4,0, , ,2300,8014,1660,6354,0,1660,0,0,0,0,2,1,5,9,10,0.05,0,0,0, ,0,N,5,5,100785,960844,4720,4720,1900,1985,0, , ,3.48,10,2,10,1,1009037503,321,64,988954,208310,8d, ,104 007,10308, ,1009030059,12/25/1986,1, , ,17V1.1,7,254.5250845,2511.119158,860059,11,0,2063,2063,11,2475,19.86555672,24.86333275,4.997776031,20.31989999,1.43675959,223.5188999 +2063,MN,772,4,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,242 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,242 A&A REALTY LLC,1343,4189,1338,2851,0,1338,0,0,0,0,2,1,4,6,7,19.67,68,19.67,68,E,3,N,5,2,93254,339047,0,0,1910,2000,0, , ,3.12,4,2,4,1,1007720004,0,91,984655,210612,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,181.020976,1427.837735,245793,2,0,2064,2064,6,1350,22.16600037,22.16600037,0,22.16600037,0,132.9960022 +2064,MN,621,55,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,60 PERRY STREET,R6, , , , , , , , , ,N,B9,1,0, ,"SCHLUMBOM, ELIZABETH",1900,3852,0,3000,0,0,0,0,0,0,2,1,3,2,2,20,95.08,20,59,E,3,N,5,1,25591,341085,0,0,1905,1978,2009,Greenwich Village Historic District, ,2.03,2.43,0,4.8,1,1006210055,0,73,983248,207166,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,231.9968817,1896.740904,315494,8,0,2065,2065,8,1800,24.81222343,28.96777725,4.155553818,25.77438974,1.438760891,206.195118 +2065,MN,238,7503,102,41,3001,2,1,10013,L006,5,15,6800,1,2, ,87 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,4660,21182,7196,13986,0,7196,0,0,0,0,2,2,6,18,20,48.92,65,0,0, ,0,N,0,5,336597,1907101,2360,2360,1899,0,0, , ,4.55,6.02,6,6.5,1,1002387503,1945,41,985308,200973,12c, ,11N 049,10105, ,1002380026,11/12/2008,1, , ,17V1.1,7,290.405561,4638.816977,1570500,0,0,2066,2066,20,4500,31.90200043,31.90200043,0,31.90200043,0,638.0400085 +2066,MN,73,11,101,15.01,3015,2,1,10038,E006,1,15,7700,1,1, ,95 MARGINAL STREET,C4-6, , , , , ,LM, , , ,N,Y7,7,0,C,NYC DSBS,21923,79716,79716,0,57876,21840,0,0,0,0,2,1,4,0,11,208,105.4,208,105, ,1,N,2,0,1512900,1934550,1512900,1934550,1900,0,0,South Street Seaport Historic District, ,3.64,10,3.4,10,1,1000730011,0,1501,983672,196515,12b, ,101N103,10102, ,0, ,1,1,1,17V1.1,0,614.9575176,20854.45383,421650,4,1,2067,2067,93,20925,6.643333435,7.911999702,1.268666267,7.089686942,0.579764671,659.3408856 +2067,MN,699,33,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,303 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,D8,3,0,P,303-309 10TH AVE LLC,9875,101000,3000,98000,0,3000,0,0,0,0,2,1,13,89,91,98.75,100,99,0, ,3,N,5,0,2250000,11849850,1801080,11400930,2008,0,0, , ,10.23,7.52,6,10,1,1006990033,0,99,983591,212780,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,403.6209191,10179.41311,9599850,2,0,2068,2068,45,10125,12.1744442,16.19000053,4.015556335,14.0646247,1.244637412,632.9081116 +2068,MN,377,50,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,275 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,275 EAST 7TH RLTY CP,2169,6294,0,6294,0,0,0,0,0,0,2,1,4,5,5,22.25,97.5,22,64, ,3,N,5,5,9883,36808,0,0,1900,1986,2008, , ,2.9,4,0,4,1,1003770050,0,2602,990643,202872,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,246.1760433,2351.78523,26925,12,1,2069,2069,10,2250,8.156999588,11.2588892,3.10188961,9.035533142,1.131423215,90.35533142 +2069,MN,712,1,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,444 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,1,P,JAMESTOWN 450 WEST 15,34188,281361,281361,0,154952,17865,0,108544,0,0,2,1,8,0,30,151.11,206.5,150,206.5, ,0,Y,5,5,2979900,49301100,0,0,1936,1971,2012, , ,8.23,0,5,6.5,1,1007120001,0,83,982238,209695,8b, ,103 040,10302,E-350,1007120001,2/21/2014,1, ,1,17V1.1,0,834.7745025,38820.84105,46321200,7,1,2070,2070,171,38475,11.10999966,12.5172224,1.407222748,12.38861823,0.306999301,2118.453717 +2070,MN,343,43,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,80 RIDGE STREET,R7A, , , , , , , , , ,N,I6,8,0,P,"80-92 RIDGE ST HDFC,I",17400,121800,121800,0,0,0,0,0,0,121800,2,1,7,0,1,174,100,174,100, ,0,N,5,5,1080450,10495800,1080450,10495800,1991,0,0, , ,7,4,0,4,1,1003430043,0,12,988843,200845,12c, ,101N081,10201, ,1003430043,12/27/1995,1, , ,17V1.1,0,553.6692579,17801.24038,9415350,13,0,2071,2071,80,18000,19.3544445,23.84555626,4.491111755,20.41938879,1.544627963,1633.551104 +2071,MN,807,7502,105,101,1007,2,3,10001,L024,14,15,5200, ,5, ,885 AVENUE OF THE AMER,C6-6, , , , , ,MID, , , ,N,RM,4,0, ,TOWER 111 LLC,18104,401085,73697,327388,0,49759,23938,0,0,0,2,1,53,337,338,141.67,197.5,0,0, ,0,Y,0,5,3839399,64690352,0,36181935,2008,0,0, , ,22.15,10,15,15,1,1008077502,2199,101,987209,211986,8d, ,105S024,10305, ,1008070034,1/7/2011,1, , ,17V1.1,7,699.9446251,18968.98724,60851000,6,0,2072,2072,85,19125,37.13700104,43,5.862998962,40.589527,2.151004179,3450.109795 +2072,MN,927,13,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,319 EAST 21 STREET,R8B, , , , , , , , , ,N,D1,3,0,X,319 EAST 21ST STREET,5000,24190,0,24190,0,0,0,0,0,0,2,1,6,22,22,50,100,50,70, ,3,N,5,2,731700,1251450,731700,1251450,2006,0,0, , ,4.84,4,0,4,1,1009270013,0,64,989626,207540,12c, ,102 048,10309, ,1009270013,8/29/2011,1, , ,17V1.1,0,307.7135946,5166.487553,519750,5,0,2073,2073,23,5175,12.9244442,14.26333332,1.338889122,13.0370529,0.316298517,299.8522167 +2073,MN,718,99,104,89,4001,2,3,10011,E003,10,15,5600,1,4,1B,417 WEST 20 STREET,R7B, , , , , , , , , ,N,W7,8,0, ,417 W 20TH STREET LLC,2878,7388,7388,0,0,0,0,0,0,7388,2,1,0,0,0,39.09,68.54,0,0, ,2,N,5,2,252450,786150,0,0,1827,0,0,Chelsea Historic District, ,2.57,3,0,3,1,1007180099,0,89,983301,210746,8b, ,103 042,10302, ,1007180001,3/29/2011,1, , ,17V1.1,0,225.0214239,2870.449091,533700,7,0,2074,2074,12,2700,13.44200039,20.05111122,6.609110832,15.55440768,2.955049838,186.6528921 +2074,MN,824,48,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,16 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0, ,SUNRAY LLC,1975,9200,9200,0,5600,3600,0,0,0,0,2,1,5,0,5,20,98.75,20,92, ,3,N,5,2,328500,1726200,0,228150,1925,2007,0,Ladies' Mile Historic District, ,4.66,10,10,10,1,1008240048,0,58,986895,209464,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,239.6843088,1985.960246,1397700,2,0,2075,2075,9,2025,34.46500015,39.03666687,4.571666718,34.97296312,1.436736239,314.7566681 +2075,MN,768,81,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,174 8 AVENUE,C1-6A, , , , , , , , , ,N,K2,5,0, ,174 8TH AVENUE ASSOCI,2107,4200,4200,0,0,4200,0,0,0,0,2,1,2,0,1,23.42,90,23.42,90,E,0,N,5,5,165150,537300,0,0,1910,0,0, , ,1.99,4,2,4,1,1007680081,0,87,984224,209811,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,230.0942311,2198.992191,372150,7,0,2076,2076,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +2076,MN,899,26,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,315 2 AVENUE,R9A, , , , , , , , , ,N,N9,8,0,X,COMMUNITY RECOVERY HO,1698,6792,6792,0,0,0,0,0,0,6792,2,1,4,0,1,17.33,98,17.33,54,E,3,N,5,2,236250,751050,236250,751050,1910,1986,0, , ,4,7.52,0,7.52,1,1008990026,0,48,988877,207112,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,238.4779306,1852.632835,514800,5,0,2077,2077,9,2025,20.82333374,22.06299973,1.239665985,20.96107441,0.389589433,188.6496696 +2077,MN,546,10,102,59,3005,2,1,10003,L009,6,15,5700,1,2,2A,18 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,8779,69800,69800,0,0,7158,0,0,0,62642,2,1,8,0,3,90.5,97.08,90.5,97, ,3,Y,3,2,1480500,10152450,1480500,10152450,1910,2014,0, , ,7.95,3.44,0,6.5,1,1005460010,0,59,985448,205123,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,399.2840331,9756.52577,8671950,9,0,2078,2078,44,9900,32.96888733,37.19555664,4.226669312,33.38380675,1.165520819,1468.887497 +2078,MN,418,44,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,291 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,WAN YING 115 PROPERTY,1933,10493,1600,8893,0,1600,0,0,0,0,2,1,6,15,17,21.92,88.17,21,84, ,2,N,3,2,168750,434700,0,0,1900,1963,0, , ,5.43,4,4,4,1,1004180044,0,18,986480,201025,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,230.6934744,2192.305249,265950,13,0,2079,2079,10,2250,37.89666748,39.85222244,1.955554962,38.09222298,0.586666489,380.9222298 +2079,MN,754,26,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,323 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR30,2271,5416,0,5416,0,0,0,0,0,0,2,1,4,23,23,23,98.75,23,63,E,3,N,5,1,134100,767250,0,0,1920,1943,0, , ,2.38,4,0,4,1,1007540026,0,103,985272,212640,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,260.9095704,2442.103097,633150,6,0,2080,2080,11,2475,33.70700073,35.68222046,1.975219727,34.08459611,0.597084378,374.9305573 +2080,MN,528,78,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,35 BEDFORD STREET,R6, , , , , , , , , ,N,C7,4,0, ,RENAISSANCE 35 BEDFOR,4166,17556,2340,15216,0,2340,0,0,0,0,2,1,6,33,35,45,92.58,45,80, ,3,N,5,2,490500,3009150,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.21,2.43,0,4.8,1,1005280078,0,67,983139,205051,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,282.5228744,4360.224615,2518650,9,0,2081,2081,19,4275,15.38333321,15.38333321,0,15.38333321,0,292.2833309 +2081,MN,298,28,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,7 LUDLOW STREET,C6-2, , , , , , , , , ,N,J3,5,0, ,VJHC HOLDING CORP.,5545,8935,8935,0,0,0,0,0,0,8935,2,1,2,0,1,62.83,88.25,63,88, ,3,N,5,0,1125000,2159550,0,0,1958,2014,0, , ,1.61,6.02,6,6.5,1,1002980028,0,16,986697,199808,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,305.6057438,5641.126201,1034550,13,0,2082,2082,25,5625,37.64699936,40.25,2.603000641,37.82817276,0.621796798,945.704319 +2082,MN,527,60,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,44 CARMINE STREET,R6, , , , , , , , , ,N,S9,4,0, ,THELMA K MACGREGOR,1480,3419,1163,2256,0,612,0,0,0,551,2,1,3,3,5,18.5,80,19,40, ,3,N,5,5,33080,235874,0,0,1920,2008,2008,Greenwich Village Historic District Exte, ,2.31,2.43,0,4.8,1,1005270060,0,67,983336,205180,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,199.6900234,1417.304512,202794,9,0,2083,2083,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +2083,MN,485,16,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,120 SPRING STREET,M1-5A, , , , , , , , , ,N,K2,5,0,P,120 SPRING OWNER LLC,741,1428,1428,0,337,1091,0,0,0,0,2,1,2,0,1,14.25,52,14,51, ,3,N,5,2,180000,1011600,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,1.93,0,5,6.5,1,1004850016,0,49,984201,202882,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,137.3118705,777.283663,831600,0,0,2084,2084,3,675,17.71444511,24.62444496,6.909999847,20.0177784,3.257405167,60.05333519 +2084,MN,475,5,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,345 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0, ,345 WEST BROADWAY INC,2500,15734,2300,13434,0,2300,0,0,0,0,2,1,7,7,8,25,100,25,90,E,3,N,5,0,156139,792618,0,0,1900,2008,2015,SoHo-Cast Iron Historic District, ,6.29,0,5,6.5,1,1004750005,0,47,983350,202529,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,252.3165793,2474.055984,636479,0,1,2085,2085,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +2085,MN,551,42,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,12 MAC DOUGAL ALLEY,R6, , , , , , , , , ,N,A9,1,0, ,"BERARD, JEROME",980,2295,0,2295,0,0,0,0,0,0,2,1,3,1,1,27.75,35.33,27.5,29, ,3,Y,5,2,72358,174182,0,0,1899,0,0,Greenwich Village Historic District, ,2.34,2.43,0,4.8,1,1005510042,0,63,984854,206075,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,123.7251537,951.0189914,101824,8,0,2086,2086,4,900,21.12199974,21.48799896,0.365999222,21.21349955,0.158482312,84.85399818 +2086,MN,267,37,103,2.02,1001,1,2,10002,E015,7,14,8000,1,3,1B,371 MADISON STREET,R7-2, , , , , , , , , ,N,D9,3,0,P,MADISON ST (371) RLTY,27250,101579,0,101579,0,0,0,0,0,0,2,1,6,117,117,275.75,103.08,250,103, ,0,Y,3,2,1530000,10611450,0,0,1908,2000,2008, , ,3.73,3.44,0,6.5,1,1002670037,0,202,989396,199304,12d, ,101N059,10107, ,0, ,1, , ,17V1.1,0,774.4557192,28441.68115,9081450,13,0,2087,2087,127,28575,27.88444519,32.52111053,4.636665344,29.15557008,0.953649264,3702.757401 +2087,MN,75,46,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1,1B,32 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,O5,5,0, ,"ROSEDALE EQUITIES, L.",2398,8700,8700,0,6500,2200,0,0,0,0,2,1,4,0,3,25.33,90,25,90, ,3,Y,5,2,162000,900900,0,0,1900,0,0, , ,3.63,10,10,10,1,1000750046,0,1502,982878,197270,12b, ,101S012,10102, ,0, ,1,1, ,17V1.1,0,237.1992903,2445.69317,738900,4,1,2088,2088,11,2475,13.35599995,13.35599995,0,13.35599995,0,146.9159994 +2088,MN,844,26,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,41 UNION SQUARE,M1-5M,C6-4, , , , ,US, , , ,Y,O6,5,0,P,HARTFORD PROPERTIES 4,9325,74521,74521,0,65521,9000,0,0,0,0,2,1,16,0,201,31.5,200,32,200, ,2,Y,3,2,6750000,15420600,0,0,1920,1979,0, , ,7.99,0,5,6.5,1,1008440026,0,52,986779,207860,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,601.5433605,9510.159422,8670600,7,0,2089,2089,42,9450,41.19499969,42.10388947,0.908889771,41.23104468,0.151471905,1731.703877 +2089,MN,905,59,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,329 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,325 THIRD AVENUE LLC,3615,14460,2640,11820,0,2640,0,0,0,0,2,1,6,22,25,37,97.58,37,82, ,3,N,5,2,249750,1380150,0,0,1910,0,0, , ,4,10,2,10,1,1009050059,0,66,989205,208766,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,274.2650864,3707.78033,1130400,11,0,2090,2090,18,4050,26.78800011,31.32222176,4.534221649,27.09362973,1.049155755,487.6853352 +2090,MN,498,27,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,101 SPRING STREET,M1-5B, , , , , , , , , ,N,P7,8,0,P,JUDD FOUNDATION 101 S,1875,14063,4018,10045,4018,0,0,0,0,0,2,1,5,0,1,25,75,25,75, ,3,N,3,2,371250,3957750,0,0,1900,1989,2007,SoHo-Cast Iron Historic District, ,7.5,0,5,6.5,1,1004980027,0,49,984420,202869,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,207.6953215,2005.513679,3586500,0,0,2091,2091,9,2025,29.75499916,29.75499916,0,29.75499916,0,267.7949924 +2091,MN,390,20,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,324 EAST 8 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"ASHRAB,",1500,6055,0,6055,0,0,0,0,0,0,2,1,5,20,20,24.75,61.42,25,48, ,2,Y,5,0,90000,393750,0,0,1910,1997,0, , ,4.04,4,0,4,1,1003900020,0,2602,989928,203402,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,169.5398477,1481.283707,303750,12,1,2092,2092,7,1575,10.01177788,10.04199982,0.030221939,10.0376824,0.010575476,70.26377678 +2092,MN,462,25,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,107 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,W6,8,0, ,NEW YORK UNIVERSITY,9008,43214,43214,0,0,8500,0,0,0,34714,2,1,5,0,2,90.08,100,90,100, ,3,Y,5,2,810000,1425600,712800,1254528,1929,0,2012,East Village/Lower East Side Historic Di, ,4.8,4,0,4,1,1004620025,0,38,987400,204445,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,387.6076417,9255.693722,615600,12,0,2093,2093,42,9450,35.00777817,39.90000153,4.892223358,35.27641305,0.953439519,1481.609348 +2093,MN,194,7501,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,48 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,ANDREWS BUILDING CORP,5038,30953,13493,17460,0,13493,0,0,0,0,2,1,6,7,10,49.83,100.58,0,0, ,0,N,5,5,238174,2425333,2360,2360,1915,0,0,Tribeca East Historic District, ,6.14,6.02,6,6.5,1,1001947501,182,33,983307,201322,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,7,303.4077699,5015.373574,2187160,14,0,2094,2094,23,5175,12.8255558,12.8255558,0,12.8255558,0,294.9877834 +2094,MN,210,20,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,300 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0, ,"AZTEC ASSOCIATES, LLC",1450,7170,1450,5720,0,1450,0,0,0,0,2,1,5,8,9,25.58,60,25,60, ,3,Y,4,2,174922,802541,0,0,1920,0,0,Tribeca East Historic District, ,4.94,6.02,6,6.5,1,1002100020,0,33,983551,201427,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,175.0806483,1562.172019,627619,0,0,2095,2095,6,1350,12.26111126,12.33199978,0.070888519,12.32018503,0.026418591,73.92111015 +2095,MN,424,5,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,159 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,BERNARD FAERMAN,1740,5220,4220,1000,1400,1740,0,1080,0,0,2,1,3,1,3,23.27,74.83,23,74,E,3,Y,5,2,191250,466200,0,0,1900,0,0, , ,3,3.44,6,6.5,1,1004240005,0,18,985912,201439,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,198.7365004,1700.498781,274950,0,0,2096,2096,8,1800,35.63777924,37.6866684,2.04888916,35.89389038,0.677606398,287.151123 +2096,MN,277,12,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,97 MADISON STREET,R7-2, , , , , , , , , ,N,M1,8,0,X,CHINESE EVANGEL MSSNI,2539,7828,7828,0,0,0,0,0,0,7828,2,1,4,0,2,25.25,100.58,25,95, ,3,N,5,0,210600,922500,210600,922500,1984,0,0, , ,3.08,3.44,0,6.5,1,1002770012,0,8,985501,198835,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.1245063,2564.042348,711900,16,0,2097,2097,12,2700,25.33333397,26.91300011,1.579666138,26.38644473,0.744661759,316.6373367 +2097,MN,617,21,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,221 WEST 12 STREET,C1-6, , , , , , , , , ,N,D6,4,0, ,225 W 12 LLC,10292,43280,3080,40200,0,3080,0,0,0,0,2,1,6,56,59,102.17,103.25,101,87, ,3,Y,5,2,738000,6227550,0,0,1930,1988,0,Greenwich Village Historic District, ,4.21,3.44,2,6.5,1,1006170021,0,77,983847,208085,12a,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,414.4415289,10918.21048,5489550,8,0,2098,2098,48,10800,23.28222275,23.28222275,0,23.28222275,0,1117.546692 +2098,MN,401,42,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,543 EAST 5 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,543 EAST 5TH STREETAS,2402,10728,1000,9728,0,1000,0,0,0,0,2,1,6,22,24,24.75,97,25,82, ,2,N,5,2,540000,1815750,0,0,1900,1959,0, , ,4.47,3,0,3,1,1004010042,0,32,989130,203143,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,255.711281,2699.288241,1275750,1,0,2099,2099,11,2475,14.20666695,14.20666695,0,14.20666695,0,156.2733364 +2099,MN,495,22,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,249 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,D9,3,0,P,"LINMAR, L.P.",10537,41182,3530,37652,0,3530,0,0,0,0,2,1,7,74,76,93.08,101.42,95,89, ,3,Y,3,2,1057500,13110750,0,0,1986,0,0, , ,3.91,6.02,6,6.5,1,1004950022,0,43,985350,202781,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,419.4937263,10799.06804,12053300,0,0,2100,2100,49,11025,37.57110977,40.59777832,3.026668549,37.86328678,0.858813295,1855.301052 +2100,MN,466,12,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,206 EAST 11 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,ALL SAINTS UKRAINIAN,3420,2664,2664,0,0,0,0,0,0,2664,2,1,1,0,1,36,95,34,83, ,2,N,5,2,246600,558450,246600,558450,1949,1984,0, , ,0.78,4,0,4,1,1004660012,0,40,987540,205554,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,274.4992982,3644.965922,311850,12,0,2101,2101,17,3825,32.08111191,36.15888977,4.077777863,32.8057132,1.364370947,557.6971245 +2101,MN,475,1,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,337 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,WEST BROADWAY GLASS C,2525,6158,6158,0,0,6158,0,0,0,0,2,1,2,0,2,50,50.5,50.83,50, ,0,N,3,5,495000,1948950,0,0,1910,1982,0,SoHo-Cast Iron Historic District, ,2.44,0,5,6.5,1,1004750001,0,47,983281,202467,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,214.5219908,2875.263699,1453950,0,1,2102,2102,13,2925,9.686666489,9.686666489,0,9.686666489,0,125.9266644 +2102,MN,776,4,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,328 8 AVENUE,C6-2A, , , , , , , , , ,N,D7,4,0,P,328-334 8TH AVENUE LL,8800,25938,4320,21618,0,4320,0,0,0,0,2,2,5,28,32,88,100,66,98, ,3,N,5,2,688500,4054050,0,0,1900,0,0, , ,2.95,6.02,6,6.5,1,1007760004,0,95,985210,211581,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,391.0354462,9503.983081,3365550,2,0,2103,2103,43,9675,25.05666733,26.70400047,1.647333145,26.63508056,0.314084192,1145.308464 +2103,MN,480,7501,102,41,6003,2,1,10012,E055,5,15,6800,1,2, ,182 MULBERRY STREET,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,2516,11728,2950,8778,0,2950,0,0,0,0,2,1,7,6,8,25.08,98.83,25,55, ,0,Y,0,5,63058,1404003,0,0,2002,0,0, , ,4.66,3.44,6,6.5,1,1004807501,1334,41,985238,201898,12c, ,11N 074,10206, ,1004800003,1/26/2004,1, , ,17V1.1,7,256.2691795,2685.7426,1340950,0,0,2104,2104,13,2925,33.11000061,34.95000076,1.840000153,33.25153908,0.490303654,432.2700081 +2104,MN,823,9,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,53 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,WG THREE ASSOCIATES L,4550,32000,20000,10000,10000,10000,0,0,0,0,2,1,6,2,8,46,98.75,46,97,E,3,N,5,2,360000,2353950,0,0,1910,1989,0,Ladies' Mile Historic District, ,7.03,10,10,10,1,1008230009,0,58,986189,209444,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,292.87342,4640.994536,1993950,7,0,2105,2105,21,4725,33.74333191,33.74333191,0,33.74333191,0,708.6099701 +2105,MN,654,31,102,79,1002,2,3,10014,L005,6,15,6100,1,2,3B,500 WEST 14 STREET,M1-5, , , , , , , , , ,N,H4,5,0, ,DUANCO INC,2245,6735,0,0,0,0,0,0,0,0,2,1,3,0,1,41.58,107.75,41.58,107.75, ,0,Y,3,5,517500,2473200,0,0,1910,1972,0, , ,3,0,5,6.5,1,1006540031,0,79,981878,209617,8b, ,103 039,10210, ,0, ,1,1,1,17V1.1,0,273.4684433,2375.513885,1955700,8,1,2106,2106,11,2475,9.109999657,9.316666603,0.206666946,9.149191943,0.055369582,100.6411114 +2106,MN,939,23,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,337 EAST 33 STREET,R8A, , , , , , , , , ,N,D1,3,1, ,337 EAST 33 LLC,1975,7247,0,7247,0,0,0,0,0,0,2,1,5,13,13,20,98.75,20,84, ,3,N,5,2,91800,784350,0,0,1910,1988,0, , ,3.67,6,0,6,1,1009390023,0,70,991252,210217,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,241.7863508,2048.27532,692550,10,1,2107,2107,10,2250,10.03999996,13.2300005,3.190000534,10.75455561,1.135583267,107.5455561 +2107,MN,147,2,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,131 DUANE STREET,C6-2A, , , , , , , , , ,N,D6,4,0,P,DUANE 131 LLC,5625,25000,5625,19375,0,5625,0,0,0,0,2,1,5,8,10,75,75,75,75, ,0,Y,5,2,1225588,1981746,0,0,1915,1999,2006,Tribeca South Historic District, ,4.44,6.02,6,6.5,1,1001470002,0,33,982183,200272,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,304.3272445,5784.623292,756158,14,0,2108,2108,25,5625,12.94333363,12.94333363,0,12.94333363,0,323.5833406 +2108,MN,890,72,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,130 EAST 35 STREET,R10,R8B, , , , , , , , ,Y,C5,2,0, ,"EL CHAAR, EGDARD",2320,8321,2175,6146,2175,0,0,0,0,0,2,1,5,6,7,23.83,98.75,24,94,E,3,N,5,2,123425,794098,0,0,1915,1986,0,Murray Hill Historic District, ,3.59,10,0,10,1,1008900072,0,72,989851,211450,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,255.2350277,2334.946068,670673,10,0,2109,2109,10,2250,54.3030014,56.20888901,1.905887604,54.5390789,0.572887793,545.390789 +2109,MN,271,48,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,172 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,170 HENRY ST.REALTYCO,5217,23279,0,23279,0,0,0,0,0,0,2,2,6,43,43,52.17,100,26,88, ,0,N,5,2,135000,733500,0,0,1900,0,0, , ,4.46,3.44,0,6.5,1,1002710048,0,6,987337,199139,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,311.7490378,5445.606574,598500,16,0,2110,2110,24,5400,17.59499931,22.39999962,4.805000305,18.22319388,1.552508699,437.3566532 +2110,MN,525,58,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,92 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,JD HOUSTON REALTY LLC,1838,3160,1580,1580,0,1580,0,0,0,0,2,1,3,2,3,18.75,98,18.75,40,E,3,N,5,0,56695,116053,0,0,1920,0,0,South Village Historic District, ,1.72,3.44,0,6.5,1,1005250058,0,65,984262,204256,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,236.3006121,1875.848821,59358,9,0,2111,2111,9,2025,23.62666702,26.54999924,2.923332214,23.95148171,0.918714681,215.5633354 +2111,MN,508,7502,102,43,1001,2,1,10012,L020,5,15,6800,1,2, ,262 MOTT STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, , ,10574,69802,63947,5855,0,2480,0,20363,0,41104,2,1,5,5,57,120.17,89.08,0,0, ,0,Y,0,5,985499,7148701,0,0,1955,0,0, , ,6.6,6.02,6,6.5,1,1005087502,864,43,985826,202977,12c, ,101N076,10206, ,1005080009,4/26/1994,1, , ,17V1.1,7,424.9799022,11056.85004,6163200,9,0,2112,2112,49,11025,44.87400055,45.82110977,0.947109222,44.92044036,0.1800106,2201.101578 +2112,MN,915,54,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,214 EAST 35 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,PARK TOWERS 1990 CORP,1646,3350,0,3350,0,0,0,0,0,0,2,1,4,4,4,16.67,98.75,16,48, ,2,N,3,5,181886,305500,0,0,1900,0,0, , ,2.04,4,0,4,1,1009150054,0,78,990605,211031,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,236.2232528,1711.672617,123614,10,0,2113,2113,8,1800,25.96888924,27.39299965,1.424110413,26.97826362,0.600407359,215.8261089 +2113,MN,29,7503,101,9,1010,2,1,10004,L015,1,15,7700,1,1, ,21 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,4377,25483,3961,21522,0,2582,0,1379,0,0,2,1,8,31,32,51.08,83.98,51,60, ,0,Y,0,5,405002,2703153,0,763145,1900,0,0,Stone Street Historic District, ,5.82,10,15,15,1,1000297503,1541,9,981301,195896,12b, ,11S 002,10101, ,1000290049,4/27/2006,1, ,1,17V1.1,7,276.2544209,4512.228263,2298150,17,1,2114,2114,21,4725,10.21333313,11.11222267,0.898889542,10.66713783,0.141240257,224.0098944 +2114,MN,449,34,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,123 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,MIGUEL KRYSTYNA T,1000,3680,940,2740,0,940,0,0,0,0,2,1,4,3,4,20,50,20,45, ,3,N,5,5,95640,142389,0,0,1900,0,0, , ,3.68,4,0,4,1,1004490034,0,38,988191,204275,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,145.9608133,1040.30744,46749,12,0,2115,2115,4,900,26.66699982,26.66699982,0,26.66699982,0,106.6679993 +2115,MN,28,12,101,7,1019,2,1,10005,L015,1,15,7700,1,1,1B,76 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0, ,11 HANOVER SQUARE COR,3945,95325,95325,0,91006,3844,0,475,0,0,2,1,26,0,32,38.04,99.67,38,96, ,2,Y,3,2,1566000,5054850,0,0,1931,2015,0, , ,24.16,10,15,15,1,1000280012,0,7,981796,196175,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,273.7433696,3972.969343,3488850,17,0,2116,2116,18,4050,15.68500042,16.09444427,0.409443855,15.7077473,0.093787792,282.7394514 +2116,MN,451,140,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,343A EAST 9 STREET,R8B, , , , , , , , , ,N,B9,1,0,P,HAMDANI KAUSAR,1225,2500,0,2500,0,0,0,0,0,0,2,1,4,2,2,25,49.02,25,24, ,1,N,5,2,17668,55915,1550,1550,1899,0,0, , ,2.04,4,0,4,1,1004510140,0,40,988346,204739,12c, ,102 019,10205, ,1004510040,1/7/1988,1, , ,17V1.1,0,157.4676828,1348.987265,38247,12,0,2117,2117,6,1350,23.10400009,26.27666664,3.17266655,24.25555579,1.231029001,145.5333347 +2117,MN,168,32,101,31,1012,2,1,10013,L001,5,15,7700,1,1,3B,75 CENTRE STREET,C6-4, , , , , , , , , ,N,O3,5,0,C,DCAS,41040,353000,353000,0,353000,0,0,0,0,0,2,1,10,0,10,227.25,183.92,277,183, ,0,Y,3,2,4770000,26328600,4770000,26328600,1934,0,0, , ,8.6,10,10,10,1,1001680032,0,31,983598,200014,12a,Y,101S034,10105, ,0, ,1, , ,17V1.1,0,813.8348078,41075.43189,21558600,14,0,2118,2118,183,41175,15.41222191,22.38333321,6.971111298,15.80984775,1.11409138,2893.202138 +2118,MN,529,43,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,3 BLEECKER STREET,C6-1, , , , , , , , , ,N,S3,4,0,P,BOWERY CORNER OWNER L,1000,3741,408,3333,0,408,0,0,0,0,2,1,4,3,4,20,50,20,47, ,3,N,5,5,115198,242162,0,0,1900,1986,0,Noho East Historic District, ,3.74,3.44,6,6.5,1,1005290043,0,5502,986301,203590,12c, ,103 010,10207, ,1005290043,10/11/2000,1, , ,17V1.1,0,148.7804842,1113.469117,126964,9,0,2119,2119,5,1125,41.23199844,41.23199844,0,41.23199844,0,206.1599922 +2119,MN,774,12,104,91,2002,2,3,10011,E001,10,15,5200,1,4,2A,247 WEST 24 STREET,R8A, , , , , , , , , ,N,C5,2,0, ,LANDA RLTY INC,1760,3820,1200,2620,0,1200,0,0,0,0,2,1,4,12,13,20,88,20,40,E,3,N,5,1,90000,327600,0,0,1920,0,0, , ,2.17,6,0,6,1,1007740012,0,91,985084,210979,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,219.3500261,1751.370267,237600,2,0,2120,2120,8,1800,24.85199928,28.66444397,3.812444687,26.04694414,1.58415768,208.3755531 +2120,MN,519,58,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,27 CHARLTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,MASON LESLIE,1973,3400,0,2550,0,0,0,0,0,0,2,1,3,3,3,19.67,100.33,19.67,36, ,2,N,5,1,47332,145320,0,0,1899,2012,0,Charlton-King-Vandam Historic District, ,1.72,2.43,0,4.8,1,1005190058,0,37,983050,204239,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,243.5420118,2101.364961,97988,0,0,2121,2121,10,2250,16.83888817,21.43666649,4.59777832,19.08255539,2.07359014,190.8255539 +2121,MN,738,62,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,340 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"SKIBAR, LUIS",1528,2850,0,2850,0,0,0,0,0,0,2,1,3,10,10,18.75,81.5,19,38, ,3,N,5,1,36312,169417,2360,2360,1900,1986,0, , ,1.87,4,0,4,1,1007380062,0,83,983221,209219,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,212.5106266,1692.469047,133105,7,0,2122,2122,7,1575,16.15333366,19.66889,3.515556335,17.01682581,1.390533484,119.1177807 +2122,MN,300,1,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,34 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,AMICUS ASSOCIATES LIM,7925,40860,40860,0,7925,7925,0,25010,0,0,2,4,6,0,27,102.17,59.75,25,65, ,3,Y,3,5,711000,3863250,0,0,1925,0,0, , ,5.16,3.44,6,6.5,1,1003000001,0,16,986174,199961,12d,Y,101N050,10107, ,0, ,1, , ,17V1.1,0,433.7926909,8598.72694,3152250,13,0,2123,2123,38,8550,39.09000015,43.42777634,4.337776184,39.38630425,1.029912556,1496.679562 +2123,MN,564,36,102,61,3003,2,2,10003,L003,9,15,5700,1,2,3A,832 BROADWAY,C6-1, , , , , , , , , ,N,D0,3,0,P,830-832 BROADWAY OWNE,8602,74859,5476,69383,0,5476,0,0,0,0,2,2,10,19,21,72.17,120.58,48,92, ,3,Y,5,2,421200,8191800,74970,74970,1896,1988,0, , ,8.7,3.44,6,6.5,1,1005640036,0,61,986819,206483,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,410.7228851,9243.474587,7770600,8,0,2124,2124,40,9000,42.18444443,43.35444641,1.170001984,42.26726122,0.280890763,1690.690449 +2124,MN,897,69,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,210 EAST 17 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,EAST 17TH STREET HOUS,4048,16278,0,16278,0,0,0,0,0,0,2,1,6,25,25,44,92,44,78, ,3,N,5,2,177300,1912050,49233,49233,1903,1957,0,Stuyvesant Square Historic District, ,4.02,3,0,3,1,1008970069,0,48,988341,206962,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,281.2732846,4221.116831,1734750,5,0,2125,2125,17,3825,25.1044445,28.43055534,3.32611084,25.30009808,0.782614315,430.1016674 +2125,MN,499,29,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,117 MERCER STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,RELIABLE WOOL STOCK C,2475,11499,11499,0,2251,2400,0,6848,0,0,2,1,5,2,5,24.75,100,25,96,E,3,N,5,2,558000,2595150,0,0,1900,1986,1996,SoHo-Cast Iron Historic District, ,4.65,0,5,6.5,1,1004990029,0,49,984425,203078,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,259.6406466,2666.766325,2037150,0,0,2126,2126,13,2925,22.35555458,22.35555458,0,22.35555458,0,290.6222095 +2126,MN,475,7510,102,47,2009,2,1,10013,L008,1,15,6800,1,2, ,60 GRAND STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,THE 60 GRAND STREET C,2500,16664,4940,11724,0,4940,0,0,0,0,2,1,7,6,7,25,100,25,90, ,3,N,0,5,58852,992461,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,6.67,0,5,6.5,1,1004757510,1879,47,983328,202467,12a, ,11N 069,10206, ,1004750033,7/23/2008,1,1,1,17V1.1,7,259.4175458,2644.327095,933609,0,1,2127,2127,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +2127,MN,529,46,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,9 BLEECKER STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,DEVAN HOLDINGS LLC,1220,3357,1119,2238,0,1119,0,0,0,0,2,1,3,4,5,20.17,61.5,20,62, ,3,Y,5,5,55844,130322,0,0,1910,0,0,Noho East Historic District, ,2.75,0,5,6.5,1,1005290046,0,5502,986241,203617,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,170.2332983,1311.189275,74478,9,0,2128,2128,6,1350,41.23199844,41.23199844,0,41.23199844,0,247.3919907 +2128,MN,473,10,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,478 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0,P,VNO BROOME STREET LLC,9932,55015,55015,0,8263,46752,0,0,0,0,2,2,5,1,2,72.67,199.58,73,200,E,3,Y,4,2,4468500,24099300,0,3290395,1900,2014,2007,SoHo-Cast Iron Historic District, ,5.54,0,5,6.5,1,1004730010,0,45,984316,202075,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,565.2432409,10284.29647,19630800,0,0,2129,2129,46,10350,20.99799919,23.15888786,2.160888672,21.09078179,0.43522509,970.1759624 +2129,MN,505,26,102,37,3004,2,3,10013,E024,1,15,6800,1,2,1B,169 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,C4,2,0, ,VANDAM SIXTH AV RLTY,3755,13500,0,13500,0,0,0,0,0,0,2,1,6,24,24,108.58,44.58,106,25, ,2,Y,3,2,296100,1440450,0,237013,1910,0,0, , ,3.6,0,10,10,1,1005050026,0,37,983127,203798,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,309.4009816,4382.106191,1144350,0,0,2130,2130,19,4275,24.02599907,25.72222137,1.696222305,24.47202261,0.656336179,464.9684296 +2130,MN,588,61,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,326 BLEECKER STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,"GHS, LLC",1198,3272,558,2714,0,558,0,0,0,0,2,1,4,3,4,20,59.92,20,39, ,3,N,5,5,180587,460594,0,0,1910,2014,0,Greenwich Village Historic District, ,2.73,3.44,2,6.5,1,1005880061,0,73,983040,206405,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,165.0914015,1261.422568,280007,9,0,2131,2131,5,1125,20.90555573,20.90555573,0,20.90555573,0,104.5277786 +2131,MN,888,7502,106,72,5000,2,2,10016,L007,17,14,5300,2,6, ,215 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,RC,5,0, , ,10765,208233,208233,0,112674,0,0,0,0,95559,2,1,21,0,2,123.42,95,0,0, ,0,Y,3,5,6750000,25461977,3375000,11705477,1962,0,0, , ,19.34,6.02,6,6.5,1,1008887502,1109,72,989759,210851,8d, ,104 020,10307, ,1008880021,3/24/2000,1, , ,17V1.1,7,484.2402317,11135.89022,18712000,10,0,2132,2132,50,11250,24.35555458,32.98666763,8.631113052,24.8950103,1.990286268,1244.750515 +2132,MN,412,27,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,177 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"177 LULOW SM DE, LLC",2196,9540,1908,7632,0,1908,0,0,0,0,2,1,5,15,16,25,87.83,25,73, ,2,N,5,2,257850,1589400,0,0,1900,2014,0, , ,4.34,4,4,4,1,1004120027,0,3001,987673,202310,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.1167646,2263.925906,1331550,1,0,2133,2133,11,2475,34.02799988,34.55222321,0.524223328,34.07565654,0.150703611,374.832222 +2133,MN,279,24,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,30 JAMES STREET,R7-2, , , ,C2-5, , , , , ,N,M2,8,0,X,ST JAMES CHURCH,3144,375,375,0,0,0,0,0,0,375,2,1,1,0,1,24.92,132,25,15, ,0,Y,5,5,207450,279450,207450,279450,1955,0,0, , ,0.12,3.44,0,6.5,1,1002790024,0,27,984660,198821,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,317.189561,3350.322003,72000,16,0,2134,2134,15,3375,16.23777771,16.23777771,0,16.23777771,0,243.5666656 +2134,MN,445,29,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,126 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,EIGHT COOPER EQUITIES,2404,9195,900,8295,0,900,0,0,0,0,2,1,5,20,21,25,96.17,25,87, ,3,N,5,1,378450,1134450,0,0,1910,1959,0, , ,3.82,4,0,4,1,1004450029,0,38,987657,203495,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,248.3871609,2488.38211,756000,1,0,2135,2135,12,2700,29.97444344,31.77766609,1.803222656,30.12471199,0.498384414,361.4965439 +2135,MN,848,50,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,36 EAST 20 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,GREEN-20 LLC,3680,27446,27446,0,24146,3300,0,0,0,0,2,1,8,0,8,40,92,40,92, ,3,N,5,2,1125000,2890350,0,0,1901,1985,0,Ladies' Mile Historic District, ,7.46,0,5,6.5,1,1008480050,0,52,987378,208333,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,271.3379625,3777.045321,1765350,5,0,2136,2136,17,3825,35.19100189,38.90555573,3.714553833,35.40950506,0.874012667,601.961586 +2136,MN,444,59,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,44 EAST 2 STREET,R8B,C6-2A, , , , , , , , ,Y,W3,8,0, ,LASALLE NEW YORK CITY,10430,50000,50000,0,0,0,0,0,0,50000,2,1,5,0,1,100,110.42,100,108, ,3,Y,5,1,769500,3418200,0,0,1936,2010,0, , ,4.79,4,0,4,1,1004440059,0,3602,987121,203373,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,430.5541412,10956.85724,2648700,1,0,2137,2137,49,11025,33.67777634,35.1511116,1.473335266,34.02869096,0.289857789,1667.405857 +2137,MN,308,24,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,47 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,47 ORCHARD STREET COR,2207,10284,2000,8284,0,2000,0,0,0,0,2,1,6,20,22,25.08,88,25,78, ,3,N,4,2,236250,1101150,0,0,1910,0,0, , ,4.66,6.02,6,6.5,1,1003080024,0,16,986645,200296,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.9845628,2278.370677,864900,13,0,2138,2138,9,2025,36.62400055,40.39333344,3.769332886,37.04281531,1.184587042,333.3853378 +2138,MN,514,26,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,137 GREENE STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,"KIM, SOO-HYUNG",3670,19309,1609,17700,0,1609,0,0,0,0,2,1,6,7,8,36.75,100.08,37,100,E,3,N,5,2,57396,1058499,0,0,1900,2009,0,SoHo-Cast Iron Historic District, ,5.26,0,5,6.5,1,1005140026,0,49,984547,203731,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,282.1841754,3873.599686,1001100,9,0,2139,2139,17,3825,22.59666634,22.59666634,0,22.59666634,0,384.1433277 +2139,MN,234,15,102,45,1008,2,1,10013,E055,5,15,6800,1,2,1A,217 CENTRE STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,153 LAFAYETTE ST REAL,5293,37500,37500,0,23440,4688,0,9372,0,0,2,1,8,0,16,49.5,106.67,50,50, ,3,Y,4,2,504000,2724750,0,0,1910,2005,0, , ,7.08,0,5,6.5,1,1002340015,0,45,984509,201443,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,325.3938024,5571.593508,2220750,0,0,2140,2140,25,5625,20.1590004,20.56811142,0.409111023,20.19443588,0.100323917,504.8608971 +2140,MN,146,2,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,94 READE STREET,C6-2A, , , , , , , , , ,N,D2,3,0, ,MANHATTAN REALTY COMP,1525,7006,1400,5606,0,1400,0,0,0,0,2,1,5,4,5,24.83,61,25,61, ,3,Y,5,5,58396,405450,0,0,1930,1988,0,Tribeca South Historic District, ,4.59,6.02,6,6.5,1,1001460002,0,33,982075,200046,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,180.9137781,1601.686187,347054,14,0,2141,2141,7,1575,16.87777901,16.87777901,0,16.87777901,0,118.144453 +2141,MN,890,53,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,158 EAST 35 STREET,R8B, , , , , , , , , ,N,O2,5,0,X,POSTGRADUATE CENTER F,1491,4640,4640,0,4640,0,0,0,0,0,2,1,4,0,7,22.58,98.58,22,98.58,G,3,Y,5,0,201150,587250,201150,587250,1920,1986,0, , ,3.11,4,0,4,1,1008900053,0,72,990253,211235,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,230.6999851,1595.890125,386100,10,0,2142,2142,6,1350,37.79100037,37.79100037,0,37.79100037,0,226.7460022 +2142,MN,575,1,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,462 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S9,4,0, ,EUGENE ELLIS REAL EST,2932,7140,2940,4200,0,2940,0,0,0,0,2,1,3,4,7,42.5,69,42,66,E,3,Y,3,2,541887,1838129,0,0,1910,0,0,Greenwich Village Historic District, ,2.44,3.44,2,6.5,1,1005750001,0,63,984824,207201,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,235.6141244,3289.976897,1296240,8,0,2143,2143,15,3375,24.42399979,24.42399979,0,24.42399979,0,366.3599968 +2143,MN,847,33,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,43 EAST 18 STREET,M1-5M, , , , , , , , , ,N,G7,10,0,P,43 EAST 18 L.L.C.,1840,0,0,0,0,0,0,0,0,0,7,1,0,0,0,20,92,0,0, ,0,N,5,5,231300,231300,0,0,0,0,0,Ladies' Mile Historic District, ,0,0,5,6.5,1,1008470033,0,52,987239,208017,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,241.2078527,2142.019285,0,7,0,2144,2144,8,1800,36.35800171,40.7266655,4.368663788,38.61825132,1.924856532,308.9460106 +2144,MN,907,42,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,228 EAST 27 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,228E27 STONE LLC,2469,9715,1500,8215,1500,0,0,0,0,0,2,1,5,20,21,25,98.75,25,83,E,3,N,5,2,118800,1179000,0,0,1912,0,0, , ,3.93,4,0,4,1,1009070042,0,66,989760,209099,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,257.4774965,2686.677125,1060200,11,0,2145,2145,11,2475,34.39699936,39.23777771,4.840778351,34.83707012,1.391625931,383.2077713 +2145,MN,722,9,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,453 WEST 24 STREET,R7B, , , , , , , , , ,N,B1,1,0,P,DONOVAN MICHAEL,2057,2966,0,2266,0,0,0,0,0,0,2,1,3,2,2,20.83,98.75,20.83,42,E,3,N,5,1,44401,132710,0,0,1910,0,0, ,453 WEST 24TH STREET HOUSE,1.44,3,0,3,1,1007220009,0,93,983461,211882,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,247.119753,2137.267875,88309,2,1,2146,2146,9,2025,10.68099976,11.69366646,1.012666702,10.88032076,0.376864614,97.92288685 +2146,MN,835,1,105,76,1001,2,4,10001,L024,14,15,5200,1,5,1A,1282 BROADWAY,C5-3,C6-6, , , , ,MID, , , ,Y,D6,4,0,P,HERALD TOWERS,36025,886042,90043,795999,0,87543,0,2500,0,0,2,1,26,690,697,207.08,200,192,198, ,1,Y,3,2,11700000,117118800,0,0,1912,1989,2011, , ,24.6,10,15,15,1,1008350001,0,76,987703,212247,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,785.9580345,39292.50134,105419000,10,0,2147,2147,175,39375,45.80866623,46.55422211,0.745555878,45.8620037,0.074972082,8025.850647 +2147,MN,476,81,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,50 GRAND STREET,M1-5A, , , , , , , , , ,N,C7,4,0,P,NAGIN COMPANY,1700,8400,1700,6700,0,1700,0,0,0,0,2,1,5,8,9,28.33,60,28,60, ,3,N,3,2,331313,518766,0,0,1900,1982,0, , ,4.94,0,5,6.5,1,1004760081,0,47,983193,202534,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,185.0009352,1906.505944,187453,0,1,2148,2148,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +2148,MN,622,33,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,397 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,"LAMB, JOHN D",954,3140,555,2585,0,555,0,0,0,0,2,1,4,1,2,18.92,52.75,18.92,40, ,3,Y,5,5,50067,155230,0,0,1899,0,0,Greenwich Village Historic District, ,3.29,3.44,2,6.5,1,1006220033,0,73,982894,207342,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,148.0181246,1062.173171,105163,8,0,2149,2149,3,675,24.5988884,24.5988884,0,24.5988884,0,73.79666519 +2149,MN,447,25,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,338 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,AHMED MASUM,2425,6750,1100,5650,0,1100,0,0,0,0,2,1,5,10,11,25,97,25,52, ,3,N,5,1,151650,718200,2360,2360,1900,1986,2014,East Village/Lower East Side Historic Di, ,2.78,4,0,4,1,1004470025,0,38,987879,203950,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.5816496,2524.836043,566550,1,0,2150,2150,11,2475,26.63111115,28.15800095,1.526889801,27.60123288,0.669605441,303.6135616 +2150,MN,162,11,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,20 MOTT STREET,C6-1, , , , , , , , , ,N,O6,5,0,P,LUCKY MOTT STREET INC,2370,14298,14298,0,11698,2600,0,0,0,0,2,1,8,0,2,26.08,104.42,26,103, ,3,Y,5,2,637650,1813326,0,0,1910,2007,2007, , ,6.03,3.44,6,6.5,1,1001620011,0,29,984659,199542,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,254.6461887,2527.396936,1175680,14,0,2151,2151,12,2700,30.90500069,32.11111069,1.206110001,31.00550985,0.333351194,372.0661182 +2151,MN,716,2,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,132 10 AVENUE,R8A, , , ,C2-5, , , , , ,N,K4,4,0, ,132 WEST CHELSEA LLC,1675,3909,3909,0,2281,1628,0,0,0,0,2,1,3,0,1,22.33,75,22,74,E,3,N,5,0,78300,729900,0,0,1910,1998,0, , ,2.33,6,0,6,1,1007160002,0,89,982587,210586,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,198.6294331,1722.882316,651600,7,1,2152,2152,7,1575,10.20100021,10.20888901,0.007888794,10.20212718,0.002760503,71.41489029 +2152,MN,693,7501,104,99,1034,2,3,10011,E003,10,15,5500,1,4, ,532 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,RM,4,0, , ,12348,36286,8079,28207,7512,567,0,0,0,0,2,1,5,12,14,125,98.75,0,0, ,0,N,0,5,1323450,5377949,2360,2360,1930,0,0, , ,2.94,0,5,6.5,1,1006937501,1134,99,982474,211616,8b, ,103/044,10301, ,1006930051,10/16/2000,1,1,1,17V1.1,7,454.7285846,12795.10299,4054500,7,1,2153,2153,57,12825,6.691111088,9.133333206,2.442222118,6.996130575,0.77888478,398.7794428 +2153,MN,887,21,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,180 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,"180 ON LEXINGTON, LLC",1025,3555,1438,2117,450,988,0,0,0,0,2,1,4,3,7,21.42,47.83,21,47,E,2,N,3,5,50714,420945,0,0,1915,0,0, , ,3.47,6.02,6,6.5,1,1008870021,0,72,989449,210579,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,147.5047011,1178.716928,370231,10,0,2154,2154,6,1350,29.31800079,29.31800079,0,29.31800079,0,175.9080048 +2154,MN,913,40,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,246 EAST 33 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,RICHARD A CIRILLO,2469,5220,0,5220,0,0,0,0,0,0,2,1,4,2,2,25,98.75,25,48, ,3,N,5,2,200832,600877,0,0,1910,1986,2007, , ,2.11,4,0,4,1,1009130040,0,70,990618,210387,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,263.3243441,2691.765993,400045,10,0,2155,2155,12,2700,19.78333282,23.19666672,3.413333893,20.48407364,1.27287756,245.8088837 +2155,MN,518,7504,102,49,3000,2,3,10012,L020,1,15,6800,1,2, ,195 PRINCE STREET,R7-2, , , , , , , , , ,N,R2,2,0, ,PRINCE OPERATING COND,1950,6740,727,6013,0,0,0,727,0,0,2,1,5,15,15,25,78,0,0, ,0,N,0,5,162008,840605,0,0,1920,0,0,Sullivan-Thompson Historic District, ,3.46,3.44,0,6.5,1,1005187504,1093,49,983556,204058,12a, ,11N 068,10206, ,1005180045,12/20/1999,1, , ,17V1.1,7,211.0183741,2012.698268,678597,9,0,2156,2156,8,1800,20.52111053,20.52111053,0,20.52111053,0,164.1688843 +2156,MN,68,7501,101,15.02,1005,2,1,10038,E004,1,15,7700,1,1, ,80 JOHN STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,THE SOUTH STAR CONDOM,10237,149564,14098,135466,0,8065,6033,0,0,0,2,1,26,146,148,94,119,90,117, ,2,Y,3,5,3307502,23661454,84960,84960,1927,1997,2005, , ,14.61,10,15,15,1,1000687501,1648,1502,982349,197272,12b, ,101S012,10102, ,1000680033,4/3/2007,1, , ,17V1.1,7,422.5807876,10581.43131,20354000,4,0,2157,2157,47,10575,17.76300049,23.11666679,5.353666306,18.0111896,1.026764941,846.5259113 +2157,MN,398,5,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,34 AVENUE A,R7A, , , ,C2-5, , , , , ,N,K4,4,0, ,LAM NG CORP.,1672,6248,4576,1672,1232,3344,0,0,0,0,2,1,5,2,4,22,76,22,76, ,3,N,5,2,150300,726300,0,14490,1900,1980,2005, , ,3.74,4,0,4,1,1003980005,0,3002,988355,202809,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,201.4993164,1745.394313,576000,1,0,2158,2158,9,2025,19.43000031,24.40133286,4.97133255,19.98237059,1.562339092,179.8413353 +2158,MN,574,14,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,60 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,DONALBANE HOUSE LLC,2085,3696,0,2772,0,0,0,0,0,0,2,1,3,1,1,22,94.75,22,42, ,3,N,5,1,54029,246025,0,0,1899,2005,0,Greenwich Village Historic District, ,1.77,2.43,0,4.8,1,1005740014,0,63,984959,206985,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.7997893,2084.095691,191996,8,0,2159,2159,9,2025,23.68066597,24.5577774,0.877111435,24.07967843,0.250346268,216.7171059 +2159,MN,200,16,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,196 CANAL STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,LDLSATC REALTY CORP.,1875,10817,10817,0,8000,1600,0,1217,0,0,2,1,6,0,3,25,100,25,73,E,3,Y,5,2,186300,2441250,0,0,1915,0,0, , ,5.77,3.44,6,6.5,1,1002000016,0,29,984730,200401,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,204.6407799,1845.207089,2254950,14,0,2160,2160,10,2250,28.79299927,34.63333511,5.840335846,29.37703285,1.752100754,293.7703285 +2160,MN,863,4,105,74,1002,2,4,10016,L024,14,15,5200,1,5,1A,341 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,REGENCY ENTERPRISES,7703,107095,107095,0,96830,10265,0,0,0,0,2,1,16,0,120,79,100,79,100, ,3,Y,5,2,5850000,12618450,0,0,1907,0,0, , ,13.9,10,10,10,1,1008630004,0,74,988537,211778,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,375.5366367,8436.216032,6768450,10,0,2161,2161,38,8550,49.61444473,50.61888886,1.004444122,50.12546931,0.13229037,1904.767834 +2161,MN,442,17,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,43 EAST 1 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,1800 SECOND AVNEUE CO,1901,6905,800,6105,0,800,0,0,0,0,2,1,5,20,21,25.25,77.17,25,55, ,3,Y,5,1,116550,933750,0,0,1900,1986,0, , ,3.63,4,0,4,1,1004420017,0,3602,987012,202951,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,211.6123219,2028.372318,817200,1,0,2162,2162,9,2025,36.32099915,38.09999847,1.778999329,36.74846819,0.645453766,330.7362137 +2162,MN,379,9,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,400 EAST 10 STREET,R7A, , , ,C1-5, , , , , ,N,A4,1,0, ,"MORRISON, WILLIAM B",567,2142,0,2142,0,0,0,0,0,0,2,1,4,1,1,23,23.75,23.9,22.6, ,0,N,5,2,8588,46963,0,0,1899,2009,0, , ,3.78,4,0,4,1,1003790009,0,28,990549,203641,12c, ,102 023,10202, ,1003790008,12/13/1988,1, ,1,17V1.1,0,93.51974377,544.8541316,38375,12,1,2163,2163,2,450,7.409999847,7.409999847,0,7.409999847,0,14.81999969 +2163,MN,745,7,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,355 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,DE GEOFROY BERTRAND,2074,3612,0,2646,0,0,0,0,0,0,2,1,3,2,2,21,98.75,21,40, ,3,N,5,1,51845,148178,1550,1550,1910,0,0,Chelsea Historic District, ,1.74,3,0,3,1,1007450007,0,89,983798,210768,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,246.3866091,2069.072395,96333,7,0,2164,2164,9,2025,15.97222233,18.80111122,2.828888893,16.77814812,0.990835843,151.0033331 +2164,MN,434,7,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,112 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,BASTILLE REALTY LLC C,1488,5617,1299,4318,0,1299,0,0,0,0,2,1,5,8,9,21.25,70,21,60,E,3,N,5,2,48593,168320,0,0,1900,1987,2010, , ,3.77,4,0,4,1,1004340007,0,32,988234,204028,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,184.7173319,1513.540213,119727,12,0,2165,2165,7,1575,20.12299919,25.81888771,5.695888519,20.93669755,1.993145786,146.5568829 +2165,MN,632,7501,102,75,3002,2,3,10014,L005,6,15,6400,2,2, ,545 HUDSON STREET,C1-6, , , , , , , , , ,N,R6,2,0, , ,1458,3955,0,3955,0,0,0,0,0,0,2,1,4,2,2,18.85,84.94,0,0, ,0,Y,0,5,9817,87276,4930,4930,1901,0,0,Greenwich Village Historic District, ,2.71,3.44,2,6.5,1,1006327501,845,75,982472,207012,12a, ,103 012,10210, ,1006320150,12/21/1993,1, , ,17V1.1,7,205.3041191,1524.415789,77459,9,0,2166,2166,6,1350,19.34666634,20.91666794,1.570001602,19.77555561,0.628212833,118.6533337 +2166,MN,579,70,102,37,3003,2,3,10013,E024,1,15,6800,1,2,1B,137 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0, ,"THE RECTOR, CHURCH-WA",11544,92406,92406,0,89406,3000,0,0,0,0,2,1,8,0,23,72,160.33,72,160, ,2,N,3,2,913500,7339050,0,0,1900,0,0, , ,8,0,10,10,1,1005790070,0,37,982525,203741,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,481.3327852,12405.97417,6425550,0,0,2167,2167,54,12150,18.86300087,21.8777771,3.01477623,18.91883006,0.406442634,1021.616823 +2167,MN,151,1,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,105 DUANE STREET,C6-4,C6-4A, , , , , , , , ,Y,D6,4,0, ,TRIBECA EQUITY PARTNE,25831,434418,26540,407878,0,12140,14400,0,0,0,2,1,53,440,443,196.9,175.21,50,175, ,3,Y,4,2,8100000,47830500,0,0,1988,0,0, , ,16.82,10,10,10,1,1001510001,0,33,982584,200041,12a,Y,101S033,10104, ,1001510005,12/28/1988,1, , ,17V1.1,0,791.1032364,26217.79646,39730500,14,0,2168,2168,115,25875,23.98999977,31.27111053,7.281110764,26.1065023,2.425574832,3002.247765 +2168,MN,778,71,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,378 8 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,260 WEST 29TH STREET,1162,3628,1160,2468,0,1160,0,0,0,0,2,1,4,3,4,17.83,65,17.83,65,E,3,N,3,5,145028,463289,0,0,1920,1985,0, , ,3.12,6.02,6,6.5,1,1007780071,0,95,985480,212106,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,167.6008303,1222.002818,318261,6,0,2169,2169,5,1125,26.68777847,28.77222252,2.084444046,27.70200005,0.879059226,138.5100002 +2169,MN,863,52,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,56 EAST 34 STREET,C5-2, , , , , , , , , ,N,S9,4,0, ,MARKWOOD MANAGEMENTCO,1846,6842,3078,3764,0,3078,0,0,0,0,2,1,5,4,6,18.67,98.75,19,96, ,2,N,5,2,227222,769392,0,0,1925,1986,0, , ,3.71,10,10,10,1,1008630052,0,74,989162,211491,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,249.232982,2126.99128,542170,10,0,2170,2170,9,2025,49.51499939,58.8461113,9.331111908,50.5517896,2.932485558,454.9661064 +2170,MN,373,8,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,310 EAST 4 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,310 E 4TH ST H/D/F CO,4231,23232,0,23232,0,0,0,0,0,0,2,1,6,16,16,44,96.17,40,78, ,2,N,5,2,45000,998550,0,0,1939,1987,0, , ,5.49,4,0,4,1,1003730008,0,2601,989853,202277,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,286.468184,4371.053823,953550,1,0,2171,2171,18,4050,13.10900021,14.86755562,1.758555412,13.3358397,0.552016454,240.0451145 +2171,MN,799,6,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,169 WEST 23 STREET,C6-3X, , , , , , , , , ,N,L8,6,0,P,HANNAH REALTY CORP,883,2052,2052,0,0,684,0,1368,0,0,2,1,3,2,3,20.42,43.25,18,38,E,3,N,5,2,123750,463500,0,0,1920,1988,0, , ,2.32,9,6,9,1,1007990006,0,91,985594,210373,8d, ,105S011,10305,E-54,0, ,1, , ,17V1.1,0,133.6813152,924.2528231,339750,2,0,2172,2172,5,1125,29.26199913,29.26199913,0,29.26199913,0,146.3099957 +2172,MN,636,7502,102,75,1006,2,3,10014,L005,6,15,6400,2,2, ,3 WEEHAWKEN STREET,C1-6A, , , , , , , , , ,N,R4,3,0, ,THE 3-5 WEEHAWKEN CON,2872,9048,0,9048,0,0,0,0,0,0,2,2,5,20,20,44,61.75,22,60, ,3,Y,0,5,391503,1378354,4720,4720,1900,1985,0,Weehawken Street Historic District, ,3.15,4,2,4,1,1006367502,1542,75,981585,206345,12a, ,103 011,10210, ,1006360011,8/9/2006,1,1,1,17V1.1,7,226.5205586,2965.942133,986851,9,1,2173,2173,13,2925,10.4289999,11.48444462,1.055444717,10.51018796,0.281243673,136.6324434 +2173,MN,712,40,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,408 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,408 WEST 15TH STREET,5163,25065,25065,0,0,25065,0,0,0,0,2,1,5,0,5,50,103.25,50,100, ,3,N,5,2,348300,4086000,0,0,1950,0,0, , ,4.85,0,5,6.5,1,1007120040,0,83,982644,209526,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,326.1397785,5638.720392,3737700,7,0,2174,2174,25,5625,12.4989996,14.98222256,2.483222961,12.69734631,0.672627319,317.4336576 +2174,MN,376,7,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,102 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,102 AVENUE C REALTY G,3772,16679,3600,13079,0,3600,0,0,0,0,2,1,5,26,29,45.42,83,45,83, ,2,N,3,2,337500,3345300,0,0,1900,1988,0, , ,4.42,4,0,4,1,1003760007,0,2602,990153,202995,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,269.6289428,4162.319457,3007800,12,1,2175,2175,19,4275,7.864444256,9.103333473,1.238889217,8.164093419,0.442033525,155.117775 +2175,MN,479,17,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,22 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,22 SPRING SMSIS LLC,1909,9310,1550,7760,0,1550,0,0,0,0,2,1,5,16,18,25.42,85.83,25,75, ,3,Y,5,2,56250,1866600,0,0,1900,1986,2013, , ,4.88,6.02,6,6.5,1,1004790017,0,41,985584,202068,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,218.5827106,2134.837093,1810350,0,0,2176,2176,11,2475,38.05444717,41.24333572,3.18888855,38.34434613,0.916741002,421.7878075 +2176,MN,633,48,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,310 WEST 11 STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,"ASHWORTH, ELIZABETH",3140,2520,0,2520,0,0,0,0,0,0,2,1,3,1,1,20.33,75.33,20.33,42, ,3,Y,5,2,110500,205095,0,0,1899,2010,0,Greenwich Village Historic District, ,0.8,3.44,2,6.5,1,1006330048,0,75,982445,207272,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,191.2496291,1435.381508,94595,8,0,2177,2177,6,1350,19.46666718,22.35777855,2.891111374,20.54444472,1.143244852,123.2666683 +2177,MN,754,40,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,411 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0,P,411 RIGGIO LLC,2469,6520,6520,0,0,1630,0,0,0,4890,2,1,4,0,1,24.67,100,25,63, ,3,N,5,2,240300,633600,0,0,1901,1989,0, , ,2.64,9,6,9,1,1007540040,0,103,985532,212573,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,256.1208708,2713.783182,393300,6,0,2178,2178,12,2700,29.79800034,32.58444214,2.786441803,30.17812983,0.797922749,362.137558 +2178,MN,227,69,102,37,3016,2,1,10013,L008,1,15,6800,1,2,1B,74 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,Q9,9,0,P,TRINITY CHURCH CORP,5254,0,0,0,0,0,0,0,0,0,7,1,0,0,0,83.92,80,0,0, ,0,Y,3,5,581400,581400,0,0,0,0,0, , ,0,0,10,10,1,1002270069,0,37,982584,202584,12a, ,101N042,10105,E-288,0, ,1,1,1,17V1.1,0,316.0930488,5338.078158,0,0,1,2179,2179,25,5625,9.686666489,9.686666489,0,9.686666489,0,242.1666622 +2179,MN,233,12,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,141 GRAND STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,GRAND GOODYEAR RLTYCR,1360,4000,4000,0,0,1000,0,3000,0,0,2,1,4,0,4,17.58,80.08,18,73,E,3,Y,5,2,79200,637200,0,0,1920,0,0,SoHo-Cast Iron Historic District Extensi, ,2.94,0,5,6.5,1,1002330012,0,45,984348,201625,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,202.2847045,1467.394708,558000,0,0,2180,2180,8,1800,17.40800095,23.70222282,6.294221878,18.19477868,2.081618223,145.5582294 +2180,MN,454,43,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,201 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,12TH & 1ST LLC,1295,3336,834,2502,0,834,0,0,0,0,2,1,4,3,4,20,64.75,20,39,E,3,N,5,5,93912,139974,0,0,1920,1988,0, , ,2.58,4,0,4,1,1004540043,0,40,988780,205355,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,175.1277929,1367.137049,46062,12,0,2181,2181,7,1575,22.37666702,22.37666702,0,22.37666702,0,156.6366692 +2181,MN,449,47,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,69 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"SEVEN Z, LLC",2338,8415,0,8415,0,0,0,0,0,0,2,1,5,11,11,25,93.5,25,80, ,3,N,5,2,93150,654300,0,0,1900,1982,0,East Village/Lower East Side Historic Di, ,3.6,4,0,4,1,1004490047,0,38,987961,204354,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.0515552,2383.417772,561150,12,0,2182,2182,10,2250,25.48777771,28.58777809,3.100000381,26.09355545,1.211972796,260.9355545 +2182,MN,203,15,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,58 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,58 ELIZABETH NY LLC,11250,29680,5000,24680,0,5000,0,0,0,0,2,2,6,45,51,75.67,74.42,38,74, ,3,Y,3,2,670950,1576800,0,0,1900,1986,0, , ,2.64,6.02,6,6.5,1,1002030015,0,41,985296,200635,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,306.3639156,5849.640262,905850,0,0,2183,2183,27,6075,40.21222305,42.00999832,1.797775269,40.41716116,0.522864937,1091.263351 +2183,MN,306,11,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,82 FORSYTH STREET,C6-1G, , , , , , , , , ,N,S4,4,0, ,82 FORSYTHE CORPORATI,2506,6205,300,5905,0,300,0,0,0,0,2,1,3,4,5,25,100.25,25,97,E,2,N,5,5,50715,190814,0,0,1900,1982,0, , ,2.48,3.44,6,6.5,1,1003060011,0,16,986179,200643,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,254.3175094,2554.917475,140099,13,0,2184,2184,13,2925,37.59777832,38.63199997,1.034221649,37.73476967,0.326185207,490.5520058 +2184,MN,716,61,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,446 WEST 19 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,446 WEST 19 REALTY LL,2300,7100,0,7100,0,0,0,0,0,0,2,1,4,8,8,25,92,25,48, ,3,N,5,2,63943,299011,0,0,1885,1988,0, , ,3.09,6,0,6,1,1007160061,0,89,982792,210592,8b, ,103 041,10302, ,1007160061,2/6/1990,1, , ,17V1.1,0,236.5119199,2248.950383,235068,7,1,2185,2185,11,2475,9.675999641,11.81444454,2.138444901,10.27523206,0.824603013,113.0275526 +2185,MN,575,37,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,34 WEST 12 STREET,R6, , , , , , , , , ,N,C2,2,0, ,34 WEST 12TH STREET L,2160,5845,0,5845,0,0,0,0,0,0,2,1,5,5,5,20.92,103.25,21,72, ,3,N,5,5,381561,641188,0,0,1900,1985,0,Greenwich Village Historic District, ,2.71,2.43,0,4.8,1,1005750037,0,63,985350,207067,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,256.1924596,2301.11211,259627,8,0,2186,2186,9,2025,24.42399979,27.93666649,3.512666702,25.26876534,1.264463564,227.4188881 +2186,MN,626,30,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,46 HORATIO STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,HORATIO HOME LLC,1200,3324,0,3324,0,0,0,0,0,0,2,1,3,2,2,20,60.75,20,55,E,3,Y,5,4,40395,153276,0,0,1848,2015,0,Greenwich Village Historic District, ,2.77,3.44,2,6.5,1,1006260030,0,77,982848,208371,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,163.7347201,1192.481439,112881,8,0,2187,2187,4,900,17.68444443,17.68444443,0,17.68444443,0,70.73777771 +2187,MN,568,20,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,70 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,C5,2,0, ,UNIVERSITY STONE LLC,2120,7477,1300,6177,0,1300,0,0,0,0,2,1,5,10,11,23.5,91.42,24,84,E,3,Y,5,2,82350,1711800,0,0,1900,1981,0, , ,3.53,6.02,2,6.5,1,1005680020,0,61,985981,206406,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,232.5013155,2052.151949,1629450,8,0,2188,2188,9,2025,30.95599937,32.36555481,1.409555435,31.11261665,0.442980536,280.0135498 +2188,MN,438,25,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,434 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,4 GUDS RLTY CORP,2553,7180,1795,5385,0,1795,0,0,0,0,2,2,4,13,15,28,94.75,28,50, ,3,N,5,2,144900,769500,0,0,1910,0,0, , ,2.81,4,0,4,1,1004380025,0,34,989112,204685,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,252.1951095,2719.823718,624600,12,0,2189,2189,12,2700,17.63888931,19.58666611,1.947776794,18.07953739,0.766612781,216.9544487 +2189,MN,630,26,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,149 CHRISTOPHER STREET,R6, , , , , , , , , ,N,M1,8,0,X,ARCHDIOCESE OF NEW YO,7897,7757,7757,0,0,0,0,0,0,7757,2,1,1,0,1,80.08,95.17,80.08,90, ,3,Y,5,2,954000,1493100,954000,1493100,1900,1986,0,Greenwich Village Historic District Exte, ,0.98,2.43,0,4.8,1,1006300026,0,75,982015,206329,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,388.1014041,7851.649471,539100,9,0,2190,2190,35,7875,15.90333366,16.1886673,0.285333633,15.91148605,0.047536191,556.9020119 +2190,MN,515,42,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,137 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,PRINCE & PRINCESS COO,4275,28947,4000,24947,0,4000,0,0,0,0,2,1,7,5,6,60,71.25,60,70, ,3,N,5,1,787489,1524574,2360,2360,1900,1971,2012,SoHo-Cast Iron Historic District, ,6.77,0,5,6.5,1,1005150042,0,49,984122,203686,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,275.6011485,4699.634373,737085,9,0,2191,2191,20,4500,20.20444489,21.06466675,0.860221863,20.24745598,0.187481008,404.9491196 +2191,MN,772,47,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,204 WEST 23 STREET,C6-3X, , , , , , , , , ,N,H3,5,0,P,202-4 WEST 23 ST CORP,7406,49875,7000,0,7000,0,0,0,0,0,2,1,6,0,4,75,98.75,75,98, ,3,Y,3,2,2196000,5472450,0,0,1920,0,0, , ,6.73,9,6,9,1,1007720047,0,91,985332,210328,8d, ,105S009,10304,E-54,0, ,1, , ,17V1.1,0,358.9852265,7884.945653,3276450,2,0,2192,2192,35,7875,22.16600037,27.94444466,5.77844429,22.69907968,1.574261262,794.4677887 +2192,MN,150,7503,101,33,1009,2,1,10007,L001,1,15,7700,3,1, ,106 DUANE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2550,12044,5007,7037,0,3249,0,1758,0,0,2,1,5,4,5,25.58,99.67,25.58,99.67, ,0,Y,5,5,135354,1170185,2360,2360,1915,0,0, , ,4.72,6.02,6,6.5,1,1001507503,1378,33,982483,199921,12b, ,11S 018,10104, ,1001500024,8/4/2004,1, , ,17V1.1,7,271.0766052,2847.983233,1034830,14,0,2193,2193,13,2925,23.54111099,27.80111122,4.260000229,24.16512812,1.465633331,314.1466656 +2193,MN,701,35,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,501 WEST 29 STREET,C6-4, , , , , ,WCH, , , ,N,C7,4,0, ,BILVAS EQUITIES LLC,1750,7758,1500,6258,0,1500,0,0,0,0,2,1,5,12,14,24.67,70,25,70, ,2,Y,3,2,74250,768600,0,0,1900,1988,0, , ,4.43,10,10,10,1,1007010035,0,99,983802,213123,8b, ,105S015,10302, ,0, ,1, , ,17V1.1,0,196.1153817,1915.943749,694350,6,0,2194,2194,8,1800,15.01000023,16.96333313,1.953332901,15.38333344,0.686318497,123.0666676 +2194,MN,826,1,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,736 AVENUE OF THE AMER,C6-4X,M1-6, , , , , , , , ,Y,D6,4,0, ,CHELSEA ASSOCIATES LL,25181,296400,31400,265000,0,18000,13400,0,0,0,2,1,29,301,306,197.5,155,0,0, ,0,Y,3,2,9405000,37831050,0,14649408,1999,0,0, , ,11.77,10,10,10,1,1008260001,0,58,986530,210233,8d, ,104 001,10306,E-66,1008260001,12/30/1999,1, , ,17V1.1,0,700.8541024,24487.19009,28426100,2,0,2195,2195,111,24975,33.45800018,39.14999771,5.691997528,33.62103918,0.867303555,3731.935349 +2195,MN,592,55,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,156 WAVERLY PLACE,R6, , , , , , , , , ,N,C5,2,0, ,"WAVERLY BLDG. ONE, LL",2158,3770,0,3770,0,0,0,0,0,0,2,1,3.5,6,6,22.25,97.08,22,58,E,3,N,5,5,73236,218940,0,0,1905,1984,0,Greenwich Village Historic District, ,1.75,2.43,0,4.8,1,1005920055,0,71,983898,206425,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,240.0419114,2136.812691,145704,9,0,2196,2196,9,2025,17.50333405,17.9659996,0.462665558,17.55474133,0.145401757,157.992672 +2196,MN,436,57,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,87 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,C6,2,0, ,ST. MARKS OWNERS CORP,5630,15000,0,15000,0,0,0,0,0,0,2,1,4,25,25,60,93.83,60,86,E,3,N,5,1,407700,1286550,9440,9440,1940,1967,0, , ,2.66,4,0,4,1,1004360057,0,32,988443,204371,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,314.2036256,5042.200983,878850,12,0,2197,2197,22,4950,17.84799957,22.38444328,4.53644371,19.38528252,2.02434392,426.4762154 +2197,MN,343,61,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,65 PITT STREET,R8A, , , , , , , , , ,N,B2,1,0, ,"KING, LINDA",2500,3625,0,3625,0,0,0,0,0,0,2,2,3,2,2,25,100,25,40, ,3,N,5,2,13571,66271,0,0,1850,1958,0, , ,1.45,6,0,6,1,1003430061,0,12,988957,200853,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,259.829969,2688.404922,52700,13,0,2198,2198,12,2700,19.3544445,21.55999947,2.205554962,19.53824075,0.609583189,234.458889 +2198,MN,191,24,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3A,11 AVENUE OF THE AMER,C6-2A, , , , , ,TMU, , , ,N,K2,5,0, ,11 AVENUE OF THE AMER,682,1895,1895,0,0,1895,0,0,0,0,2,1,2,0,1,37.08,31,37,32, ,3,Y,5,2,51300,245700,0,0,1920,0,0, , ,2.78,6.02,6,6.5,1,1001910024,0,33,982755,201428,12a, ,101N045,10105, ,0, ,1, , ,17V1.1,0,115.953794,732.5888902,194400,14,1,2199,2199,3,675,10.29800034,10.91577816,0.617777824,10.70792611,0.289870897,32.12377834 +2199,MN,742,26,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,317 WEST 18 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,TERZI ROBERT C,2009,3520,0,2640,0,0,0,0,0,0,2,1,3,2,2,21.83,92,22,40, ,3,N,5,1,35466,138240,1550,1550,1920,1987,0, , ,1.75,3,0,3,1,1007420026,0,89,983840,209903,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,227.6819933,1956.818089,102774,7,0,2200,2200,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +2200,MN,162,50,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,13 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,A BIJOU,1164,5279,1000,4279,0,1000,0,0,0,0,2,1,5,8,10,28.92,59.67,29,42, ,3,Y,5,2,39533,299192,0,0,1915,1988,0, , ,4.54,3.44,6,6.5,1,1001620050,0,29,984826,199657,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,161.9185611,1223.421394,259659,14,0,2201,2201,5,1125,39.70399857,40.01733398,0.313335419,39.76666565,0.125334167,198.8333282 +2201,MN,905,50,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,214 EAST 25 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"208-214 E. 25TH ST,LL",2634,10260,0,10260,0,0,0,0,0,0,2,1,5,20,20,26.67,98.75,27,88, ,3,N,5,2,135000,1912050,0,0,1930,0,0, , ,3.9,4,0,4,1,1009050050,0,66,989392,208713,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,251.8740044,2617.732655,1777050,11,0,2202,2202,12,2700,26.78800011,34.96111298,8.173112869,28.38862991,2.891263958,340.663559 +2202,MN,609,76,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,161 WEST 13 STREET,R6, , , , , , , , , ,N,C0,2,0, ,GEORGE PITT,2065,3608,0,2520,0,0,0,0,0,0,2,1,2,3,3,20,103.25,20,42,E,2,N,5,1,45158,165888,6900,6900,1899,0,0,Greenwich Village Historic District, ,1.75,2.43,0,4.8,1,1006090076,0,71,984377,208094,8d,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,250.0417944,1967.22518,120730,8,0,2203,2203,8,1800,25.65555573,28.93444443,3.278888702,27.22562528,1.060219557,217.8050022 +2203,MN,611,76,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2K,153 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0,P,151 WEST 10TH STREET,3212,11836,0,11836,0,0,0,0,0,0,2,3,4,27,27,44,73,22,42, ,0,N,3,5,630000,1921500,0,0,1910,0,0,Greenwich Village Historic District, ,3.68,2.43,0,4.8,1,1006110076,0,71,983892,206935,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,251.8880126,3719.427703,1291500,8,0,2204,2204,16,3600,19.84000015,19.84000015,0,19.84000015,0,317.4400024 +2204,MN,513,35,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,93 PRINCE STREET,M1-5A, , , , , , , , , ,N,HB,5,0,P,MERCER I LLC (THE),10000,67452,16600,0,0,16600,0,0,0,0,2,1,6,75,77,100,99.5,100,99.5,E,0,N,3,5,2700000,28471500,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,6.75,0,5,6.5,1,1005130035,0,49,984619,203382,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,407.5568727,10381.19267,25771500,9,0,2205,2205,47,10575,26.62555504,26.62555504,0,26.62555504,0,1251.401087 +2205,MN,525,34,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,168 THOMPSON STREET,R7-2, , , , , , , , , ,N,S1,4,0, ,"THOMPSON REAL ESTATE,",1350,5807,954,4853,0,954,0,0,0,0,2,1,5,1,2,18,75,18,53, ,3,N,5,5,40295,219748,0,0,1900,2008,2008,South Village Historic District, ,4.3,3.44,0,6.5,1,1005250034,0,65,984207,204340,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,191.7406397,1431.303771,179453,9,0,2206,2206,5,1125,23.62666702,23.62666702,0,23.62666702,0,118.1333351 +2206,MN,452,19,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,322 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,BOHEMIAN ARMS UNLIMIT,2369,10794,1000,9794,0,1000,0,0,0,0,2,1,6,24,25,25,94.75,25,79.67, ,2,N,5,1,173250,977400,0,0,1900,0,0, , ,4.56,4,0,4,1,1004520019,0,40,988328,205120,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,242.1535173,2405.232293,804150,12,0,2207,2207,11,2475,22.86222267,26.84222221,3.979999542,23.75717198,1.495611199,261.3288918 +2207,MN,458,27,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,45 2 AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,45-47 SECOND AVE CONC,4400,9600,2400,7200,0,1200,0,0,0,0,2,2,4,6,8,44,100,22,60, ,0,N,5,2,100780,359689,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,2.18,6.02,6,6.5,1,1004580027,0,3602,986920,203576,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,286.7753273,4346.322728,258909,1,0,2208,2208,20,4500,37.60888672,39.04555511,1.436668396,37.75766506,0.351254988,755.1533012 +2208,MN,151,20,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,22 THOMAS STREET,C6-4, , , , , , , , , ,N,O2,5,0, ,D. E. A. BUILDING COR,5307,15840,15840,0,15840,0,0,0,0,0,2,1,2,0,2,55,96.5,55,96, ,0,Y,5,2,315000,1283850,0,0,1941,1997,2006, , ,2.98,10,10,10,1,1001510020,0,33,982545,200162,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,312.5069858,5716.676023,968850,14,0,2209,2209,25,5625,23.98999977,23.98999977,0,23.98999977,0,599.7499943 +2209,MN,220,7504,101,33,3003,2,1,10013,L008,1,15,7700,3,1, ,48 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,3800,15507,2360,13147,0,2360,0,0,0,0,2,1,7,9,10,38,100,38,100, ,0,N,0,5,70908,1100806,2360,2360,2003,0,0,Tribeca North Historic District, ,4.08,6.02,6,6.5,1,1002207504,1491,33,982039,202385,12a, ,11N 042,10105, ,1002200034,1/6/2006,1, , ,17V1.1,7,280.3273116,3998.064552,1029900,0,1,2210,2210,17,3825,11.22399998,12.26488876,1.040888786,11.28522873,0.244915009,191.8488884 +2210,MN,187,25,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,117 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D7,4,0,P,AIM HOLDING,5413,35600,9500,26100,4500,5000,0,0,0,0,2,1,6,8,10,50,100.25,50,100, ,3,Y,3,2,248691,4209012,0,0,1915,2001,0,Tribeca West Historic District, ,6.58,6.02,6,6.5,1,1001870025,0,39,981766,201529,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,334.5599157,5815.988557,3960320,14,0,2211,2211,27,6075,17.89999962,19.23444366,1.334444046,18.04559637,0.386459965,487.231102 +2211,MN,286,2,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,211 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,"211 HENRY MANAGEMENT,",1912,7590,0,7590,0,0,0,0,0,0,2,1,5,11,11,22.5,85,23,76, ,3,N,5,2,130050,614700,0,0,1900,0,0, , ,3.97,3.44,0,6.5,1,1002860002,0,201,987879,199351,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,227.3346259,2136.182431,484650,13,0,2212,2212,10,2250,28.50666618,30.16900063,1.662334442,28.67289963,0.498700333,286.7289963 +2212,MN,912,35,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,575 2 AVENUE,C1-8A, , , , , , , , , ,N,S5,4,0,P,TAD 575 SECOND AVENUE,1642,3612,1500,2112,0,1500,0,0,0,0,2,1,4,6,7,16.42,100,16,49, ,3,N,5,2,200166,529297,0,0,1910,0,0, , ,2.2,7.52,2,7.5,1,1009120035,0,70,990532,210103,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,233.4382601,1614.601595,329131,10,0,2213,2213,7,1575,26.45000076,26.45000076,0,26.45000076,0,185.1500053 +2213,MN,51,14,101,13,2001,2,1,10006,E010,1,15,7700,1,1, ,22 THAMES STREET,C5-5, , , , , ,LM, , , ,N,D8,3,0,P,VS 125 LLC,9086,455815,16978,438837,0,16978,0,0,0,0,2,1,71,439,441,82.67,119.25,96.82,76.82, ,1,Y,3,2,4056480,4506480,0,0,2016,0,0, , ,50.17,10,15,15,1,1000510014,0,13,980710,197622,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,392.7715501,9256.565092,450000,15,0,2214,2214,42,9450,13.2966671,16.40399933,3.10733223,16.27595177,0.552343098,683.5899744 +2214,MN,586,7502,102,67,3002,2,3,10014,E024,6,15,6400,1,2, ,41 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,RM,4,0, ,THE LUMINARY CONDOMIN,2038,9274,3843,5431,0,3843,0,0,0,0,2,1,6,4,6,34,65.83,30,60, ,0,Y,0,5,362749,2279396,0,841665,2008,0,0,Greenwich Village Historic District Exte, ,4.55,3.44,2,6.5,1,1005867502,2767,67,983142,205596,12a, ,103 005,10208, ,1005860052,9/9/2010,1, , ,17V1.1,7,220.7596019,2103.250321,1916650,9,0,2215,2215,10,2250,15.38333321,17.72888756,2.345554352,16.03744431,1.001217736,160.3744431 +2215,MN,591,48,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,82 CHRISTOPHER STREET,R6,C4-5, , , , , , , , ,Y,C7,4,0, ,82 CHRISTOPHER STREET,1592,6375,1525,4850,0,1525,0,0,0,0,2,1,5,7,10,25.5,64,26,52, ,3,Y,5,2,169084,443098,0,0,1910,1968,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1005910048,0,73,983246,206452,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,181.161118,1625.162865,274014,9,0,2216,2216,7,1575,23.46111107,23.46111107,0,23.46111107,0,164.2277775 +2216,MN,345,7502,103,22.01,1001,1,2,10002,L018,7,14,7600,2,3, ,196 STANTON STREET,R7A, , , , , , , , , ,N,RM,4,0, ,THE 196 STANTON ST CO,10500,52461,18928,33533,0,9729,0,0,0,9199,2,1,8,6,10,100,100,100,84, ,3,Y,0,2,416050,8771224,0,4279240,1950,2008,0, , ,5,4,0,4,1,1003457502,2145,2201,988954,201596,12c, ,102 005,1, ,1003450030,12/16/2010,1, , ,17V1.1,7,467.4068805,11173.96208,8355170,1,0,2217,2217,49,11025,18.41222191,20.98333359,2.571111679,18.46469358,0.363534372,904.7699852 +2217,MN,738,15,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,335 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D1,3,0, ,335-7,4687,28321,0,28321,0,0,0,0,0,0,2,1,7,28,28,37.5,125,38,111, ,3,N,5,2,193050,2586600,0,0,1900,0,0, , ,6.04,6.02,6,6.5,1,1007380015,0,83,983127,209147,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,339.0491501,5022.505525,2393550,7,0,2218,2218,22,4950,16.15333366,16.40333366,0.25,16.16585888,0.052093299,355.6488953 +2218,MN,301,3,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,36 FORSYTH STREET,C6-1G, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,85194,196082,196082,0,0,0,0,0,0,196082,2,1,4,0,2,327,276,295,248, ,1,Y,3,2,6975000,30478500,6975000,30478500,1983,0,0, , ,2.3,3.44,6,6.5,1,1003010003,0,16,986020,200201,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,1203.069067,84868.68815,23503500,13,0,2219,2219,377,84825,40.02555466,45.89555359,5.869998932,41.56944017,1.021433947,15671.67894 +2219,MN,992,50,106,86.01,2003,2,4,10016,L007,17,13,5000,1,6,2B, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,C,NYC DSBS,12284,0,0,0,0,0,0,0,0,0,7,1,0,0,0,353.5,34.75,0,0, ,0,Y,2,5,711000,711000,711000,711000,0,0,0, , ,0,0,2,0,1,1009920050,0,8601,993269,207167,12c,Y,102 055,10310, ,0, ,1,1,1,17V1.1,0,1295.030708,10444.05943,0,10,1,2220,2220,28,6300,0,8.137777328,8.137777328,0.513015866,1.867251734,14.36444426 +2220,MN,464,45,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,29 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,ST. CLARKS PROPERTIES,2934,5704,1426,4278,0,1426,0,0,0,0,2,1,4,8,9,26,112.83,26,54, ,3,N,5,1,132649,271070,0,0,1900,1963,0, , ,1.94,4,0,4,1,1004640045,0,38,987501,204912,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,286.9983674,3147.439096,138421,12,0,2221,2221,15,3375,32.10889053,35.70555496,3.596664429,33.52607549,1.593141682,502.8911324 +2221,MN,619,52,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,341 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,CHRISTOPHER BLEECKER,651,1503,655,848,0,655,0,0,0,0,2,1,3,2,3,21.08,32.5,21.08,32.5, ,3,Y,5,5,22126,81631,0,0,1901,0,0,Greenwich Village Historic District, ,2.31,3.44,2,6.5,1,1006190052,0,73,983066,206601,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,107.5360873,691.5587193,59505,9,0,2222,2222,4,900,23.46111107,23.86888886,0.407777786,23.56305552,0.176572961,94.25222206 +2222,MN,484,3,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,96 SPRING STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,MERCIFUL SPRINGS LLC,6100,48904,48904,0,42791,6113,0,0,0,0,2,1,8,0,8,100,61.08,100,61, ,3,N,3,2,990000,12772800,0,0,1900,1966,2005,SoHo-Cast Iron Historic District, ,8.02,0,5,6.5,1,1004840003,0,49,984390,202752,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,332.4079701,6515.862689,11782800,0,0,2223,2223,29,6525,22.21222115,29.49444389,7.282222748,23.55627501,2.474780176,683.1319752 +2223,MN,385,38,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,21 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0,P,"DALZEN, ERIK",3315,17160,1800,15360,0,1800,0,0,0,0,2,1,6,20,22,45.67,72.58,45.67,68.25, ,0,N,5,5,247500,1102950,247500,1102950,1900,0,0, , ,5.18,4,0,4,1,1003850038,0,2202,989491,202096,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,238.8563683,3383.144482,855450,1,0,2224,2224,16,3600,14.97222233,14.97222233,0,14.97222233,0,239.5555573 +2224,MN,720,7502,104,93,7000,2,3,10011,E003,10,15,5200,2,4, ,468 WEST 23 STREET,R7B, , , ,C2-5, , , , , ,N,R4,3,0, ,468 WEST 23RD STREET,2173,8408,0,8408,0,0,0,0,0,0,2,1,4,11,11,0.04,0,0,0, ,0,N,5,5,252448,1042200,7080,7080,1900,1986,0,Chelsea Historic District Extension, ,3.87,3,0,3,1,1007207502,368,93,983122,211553,8b, ,105S005,10302, ,1007200081,4/20/1987,1, ,1,17V1.1,7,248.4740319,2239.288074,789752,2,1,2225,2225,11,2475,9.369999886,9.369999886,0,9.369999886,0,103.0699987 +2225,MN,646,7501,102,79,1000,2,3,10014,L005,6,15,6100,3,2, ,415 WEST 13 STREET,M1-5, , , , , , , , , ,N,RC,5,0, , ,15487,80330,80330,0,42614,27182,0,10534,0,0,2,1,5,0,4,50,206.5,100,206.5, ,0,N,0,5,1350000,34042500,0,0,1900,1984,2002,Gansevoort Market Historic District, ,5.19,0,5,6.5,1,1006467501,1261,79,982448,209172,8b, ,103 039,10210, ,1006460035,12/17/2002,1, , ,17V1.1,7,617.5087532,15596.32032,32692500,8,1,2226,2226,68,15300,12.05555534,14.80555534,2.75,12.09599652,0.331025296,822.5277634 +2226,MN,438,18,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,420 EAST 11 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,ANTOINETTE REALTY 4 L,2369,9361,0,9361,0,0,0,0,0,0,2,1,7,11,11,25,94.75,25,94.6, ,3,N,5,2,146250,1222200,0,0,2007,2005,0, , ,3.95,4,0,4,1,1004380018,0,34,988957,204771,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.3692566,2432.928825,1075950,12,0,2227,2227,10,2250,18.5909996,19.49111176,0.900112152,18.75941086,0.337821699,187.5941086 +2227,MN,436,18,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,420 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,420 E. 9TH LLC,1692,5366,1026,4340,0,1026,0,0,0,0,2,1,5,9,10,18.75,90.25,19,54, ,3,N,5,1,37154,184159,0,0,1900,2009,0, , ,3.17,4,0,4,1,1004360018,0,32,988698,204348,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,229.5813466,1781.372879,147005,12,0,2228,2228,8,1800,17.84799957,21.56666756,3.718667984,18.94738865,1.461197102,151.5791092 +2228,MN,913,13,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,223 EAST 32 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ABART HOLDINGS,2469,9270,0,9270,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,86, ,3,N,5,2,77400,799200,0,0,1910,1983,2010, , ,3.75,4,0,4,1,1009130013,0,70,990393,210395,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,241.1500006,2364.731984,721800,10,0,2229,2229,11,2475,22.72100067,24.62111092,1.900110245,22.98455602,0.591173068,252.8301163 +2229,MN,507,14,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,252 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,250-252 ELIZABETH ST,2003,6737,1190,5547,0,1190,0,0,0,0,2,1,5,8,10,24.5,81.75,25,59, ,3,N,5,2,26962,173980,0,0,1925,1986,0, , ,3.36,6.02,6,6.5,1,1005070014,0,43,986040,202910,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,218.8745913,2123.781801,147018,9,0,2230,2230,9,2025,44.71333313,44.71333313,0,44.71333313,0,402.4199982 +2230,MN,559,22,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,126 EAST 14 STREET,C6-3X,C6-2A,C1-9A, , , , , , , ,Y,H8,8,0,P,NEW YORK UNIVERSITY,41950,446076,38810,0,19000,19810,0,0,0,0,2,1,16,0,3,250,206.5,250,150, ,0,Y,4,2,12375000,34024050,11880000,32663088,1999,0,0, , ,10.63,9,6,9,1,1005590022,0,42,987509,206456,12c, ,102 025,10207,E-68,1005590022,12/27/1999,1, , ,17V1.1,0,905.6349577,42471.16449,21649100,12,0,2231,2231,186,41850,36.68999863,40.0633316,3.373332977,36.77796403,0.473660943,6840.701309 +2231,MN,303,4,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,145 CANAL STREET,C6-1G, , , , , , , , , ,N,K2,5,0,P,NEW YORK JEWLERS EXCH,1310,2508,2508,0,0,2508,0,0,0,0,2,1,2,0,2,35.33,63.67,36,62, ,3,Y,5,2,119250,743400,0,0,1900,0,0, , ,1.91,3.44,6,6.5,1,1003030004,0,16,985510,200262,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,175.5519027,1484.510094,624150,0,0,2232,2232,6,1350,41.4129982,41.4129982,0,41.4129982,0,248.4779892 +2232,MN,217,10,101,39,1018,2,1,10013,L008,1,15,7700,1,1,3B,397 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,28 HUBERT ST CORP,2215,21800,2133,19667,0,2133,0,0,0,0,2,1,6,5,7,28.08,78.83,28,78, ,0,Y,3,5,250420,681283,0,0,1920,2008,0,Tribeca North Historic District, ,9.84,6.02,6,6.5,1,1002170010,0,39,981362,202190,12a, ,101N039,10105, ,0, ,1,1,1,17V1.1,0,219.8243946,2372.152552,430863,14,1,2233,2233,10,2250,7.73111105,7.73111105,0,7.73111105,0,77.3111105 +2233,MN,542,18,102,65,3000,2,1,10012,L009,6,15,5700,1,2,2A,14 MINETTA STREET,R7-2, , , ,C1-5, , , , , ,N,B3,1,0, ,GRACE REALTY GROUP LL,1223,2100,0,2100,0,0,0,0,0,0,2,1,3,2,2,16.17,75.67,16.17,45, ,2,N,5,2,22411,83485,0,0,1899,0,0,South Village Historic District, ,1.72,3.44,0,6.5,1,1005420018,0,65,983867,205267,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,182.2615618,1177.293935,61074,9,0,2234,2234,5,1125,18.37666702,18.37666702,0,18.37666702,0,91.88333511 +2234,MN,784,80,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,490 8 AVENUE,M1-6, , , , , ,GC, , , ,N,K5,5,0, ,MCDONALD'S CORPORATIO,4737,9400,9400,0,0,9400,0,0,0,0,2,1,1,0,1,47,100,47,100, ,3,N,5,2,999000,2376450,0,0,1975,0,0, , ,1.98,0,10,10,1,1007840080,0,109,986231,213425,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,297.7919578,4838.385337,1377450,6,0,2235,2235,22,4950,34.68444443,34.68444443,0,34.68444443,0,763.0577774 +2235,MN,586,56,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,14 MORTON STREET,C2-6,R6, , , , , , , , ,Y,C4,2,0, ,VIDEO STORYBOARD TEST,2250,9305,0,9305,0,0,0,0,0,0,2,1,5,20,20,25,90,25,78, ,3,N,5,2,236250,1075950,0,0,1910,0,0,Greenwich Village Historic District Exte, ,4.14,3.44,2,6.5,1,1005860056,0,67,983232,205639,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,231.9461704,2241.259227,839700,9,0,2236,2236,11,2475,17.38400078,17.38400078,0,17.38400078,0,191.2240086 +2236,MN,164,31,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,39 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,REIFIELD THOMPSON &ET,2330,8513,1056,7457,0,1056,0,0,0,0,2,2,5,8,10,22,93.5,22,47, ,0,Y,5,2,270710,748485,0,0,1915,1986,0, , ,3.65,3.44,6,6.5,1,1001640031,0,29,984507,199812,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,241.0529196,2420.819724,477775,14,0,2237,2237,11,2475,24.29500008,24.29500008,0,24.29500008,0,267.2450008 +2237,MN,230,8,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,327 CANAL STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,325-327 CANAL LLC,1650,3468,1156,2312,0,1156,0,0,0,0,2,1,3.5,2,3,20.5,85.5,21,70,E,3,Y,5,2,22907,87004,0,0,1915,1987,0,SoHo-Cast Iron Historic District, ,2.1,0,5,6.5,1,1002300008,0,47,983451,201755,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,221.5789102,1850.426526,64097,0,1,2238,2238,8,1800,11.39777756,11.39777756,0,11.39777756,0,91.18222046 +2238,MN,566,18,102,59,1001,2,2,10003,E033,6,15,5700,1,2,3A,20 UNIVERSITY PLACE,C1-7,R7-2, , , , , , , , ,Y,D4,3,0, ,LAURENCE FRANKLIN,40520,420000,60000,360000,0,25000,35000,0,0,0,2,1,25,323,330,188.5,209,188,208, ,3,Y,3,2,4590000,54745200,747106,747106,1964,0,0,Greenwich Village Historic District, ,10.37,6.02,2,6.5,1,1005660018,0,59,985636,205992,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,813.4694786,41130.5042,50155200,8,0,2239,2239,183,41175,28.78100014,32.23999786,3.458997726,29.06681559,0.754960193,5319.227253 +2239,MN,345,29,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,200 STANTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,200 STATON LLC,2000,10610,1200,9410,0,1200,0,0,0,0,2,1,6,10,12,25,80,25,80,E,3,N,3,2,125550,1146150,0,0,1920,2008,0, , ,5.31,4,0,4,1,1003450029,0,2201,989005,201562,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,227.0522003,2336.21886,1020600,1,0,2240,2240,11,2475,18.41222191,18.41222191,0,18.41222191,0,202.534441 +2240,MN,425,38,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,18 DELANCEY STREET,C6-3A, , , , , , , , , ,N,K4,4,0, ,"MAN 441, LLC",1459,2930,2930,0,1465,1465,0,0,0,0,2,1,2,0,2,29,50.33,29,50, ,2,N,3,2,180000,472050,0,0,1900,1983,0, , ,2.01,7.52,6,7.5,1,1004250038,0,18,986199,201695,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,164.0273021,1591.402629,292050,13,0,2241,2241,8,1800,38.80888748,38.80888748,0,38.80888748,0,310.4710999 +2241,MN,227,7,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,393 CANAL STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,YI FA REALTY CORP,2927,6000,6000,0,0,6000,0,0,0,0,2,1,2,0,4,36.58,71,37,71, ,2,Y,3,2,197550,2531250,0,0,1910,0,0, , ,2.05,0,5,6.5,1,1002270007,0,47,982878,202283,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,229.9426158,3147.608502,2333700,0,1,2242,2242,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +2242,MN,612,57,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,55 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,55 GREENWICH AVENUE L,1012,4660,600,4060,0,600,0,0,0,0,2,1,5,8,10,21,40.92,21,38, ,3,Y,3,2,85752,568234,0,0,1940,0,0,Greenwich Village Historic District, ,4.6,3.44,2,6.5,1,1006120057,0,71,984008,207346,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,151.7316541,1192.243563,482482,8,0,2243,2243,6,1350,21.78555489,23.07511139,1.289556503,22.00048097,0.480589334,132.0028858 +2243,MN,722,57,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,430 WEST 25 STREET,R7B, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,16787,83940,83940,0,0,0,0,0,0,83940,2,1,5,0,0,170,98.75,169,98.75, ,0,N,5,5,1413000,3919950,1413000,3919950,1975,0,0, , ,5,3,0,3,1,1007220057,0,93,983635,211901,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,535.8727776,16734.0725,2506950,2,1,2244,2244,75,16875,10.68099976,16.24666595,5.565666199,10.91784273,1.019405077,818.8382044 +2244,MN,170,20,101,31,1011,2,1,10013,L001,5,15,7700,1,1,3B,111 WORTH STREET,C6-4A, , , , , , , , , ,N,D6,4,0,P,FC FOLEY SQUARE ASSOC,28302,419639,64918,354721,0,10000,54918,0,0,0,2,1,19,331,339,297.5,106.5,297,106, ,2,Y,4,2,8280000,40345650,0,30106440,2001,0,0, , ,14.83,10,10,10,1,1001700020,0,31,983282,200155,12a, ,11S 034,10105, ,1001700012,4/23/2003,1, , ,17V1.1,0,796.0836368,28419.26706,32065700,14,0,2245,2245,125,28125,25.22999954,30.04000092,4.810001373,30.0015209,0.428495268,3750.190113 +2245,MN,91,7502,101,15.01,1015,2,1,10038,E006,1,15,7700,1,1, ,111 FULTON STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,111 FULTON ST CONDO,23298,176514,23799,152715,0,23799,0,0,0,0,2,1,10,163,168,196.17,118.5,196.17,118.5, ,2,Y,0,5,4050894,27123745,0,11287145,1940,2007,2007, , ,7.58,10,10,10,1,1000917502,1969,1501,982420,197923,12b, ,101S011,10103, ,1000910001,12/8/2008,1, , ,17V1.1,7,647.1785958,24822.86869,23072900,4,0,2246,2246,110,24750,30.73444366,33.19555664,2.461112976,32.97777845,0.393555009,3627.55563 +2246,MN,508,53,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,31 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"31 PRINCE STREET,",2160,12025,1601,10424,0,1601,0,0,0,0,2,1,6,16,19,27.83,79.17,28,80, ,2,Y,3,2,121500,3908700,0,0,1910,2006,0, , ,5.57,6.02,6,6.5,1,1005080053,0,43,985713,202738,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,218.5175638,2287.461104,3787200,0,0,2247,2247,10,2250,43.06000137,43.74111176,0.681110382,43.13955688,0.203400628,431.3955688 +2247,MN,828,14,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,33 WEST 26 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,WEST 26TH STREET REAL,2469,11095,11095,0,0,2200,0,8895,0,0,2,1,5,0,2,25,98.75,25,88,E,2,N,5,2,436500,1340550,0,0,1915,1988,0,Madison Square North Historic District, ,4.49,0,10,10,1,1008280014,0,58,986982,210520,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,255.0524004,2657.023795,904050,2,0,2248,2248,11,2475,42.13444519,42.13444519,0,42.13444519,0,463.4788971 +2248,MN,217,7501,101,39,1017,2,1,10013,L008,1,15,7700,3,1, ,79 LAIGHT STREET,C6-3A,C6-2A, , , , ,TMU, , , ,Y,R4,3,0, , ,14251,91497,0,91497,0,0,0,0,0,0,2,1,11,33,33,0.32,0,0,0, ,0,N,0,5,1172692,9703346,9440,9440,1853,0,0,Tribeca North Historic District, ,6.42,7.52,6,7.5,1,1002177501,1243,39,981167,202351,12a, ,11N 039,10105, ,1002170006,8/26/2002,1,1,1,17V1.1,7,597.8086931,15704.26754,8530650,14,1,2249,2249,69,15525,7.28000021,7.437777996,0.157777786,7.282930962,0.01951456,502.5222363 +2249,MN,147,10,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,147 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,"L & J TRIBECA, INC.",1248,6200,1240,4960,0,1240,0,0,0,0,2,1,5,4,5,25,50.08,25,50, ,3,Y,5,5,84282,587257,0,0,1915,1988,0,Tribeca South Historic District, ,4.97,6.02,6,6.5,1,1001470010,0,33,982026,200352,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,163.278397,1467.003575,502975,14,0,2250,2250,6,1350,12.94333363,12.94333363,0,12.94333363,0,77.66000175 +2250,MN,502,33,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,422 WEST BROADWAY,M1-5A, , , , , , , , , ,N,S4,4,0, ,GREEN 333 CORP,1744,9200,2800,6400,0,2800,0,0,0,0,2,1,5,4,5,25,69.9,25,67, ,0,N,5,5,1038639,1417000,0,0,1900,2006,0,SoHo-Cast Iron Historic District Extensi, ,5.28,0,5,6.5,1,1005020033,0,49,983786,203492,12a, ,101N071,10206, ,1005020031,1/31/1995,1, , ,17V1.1,0,190.0059972,1739.179601,378361,0,0,2251,2251,8,1800,12.81888866,12.81888866,0,12.81888866,0,102.5511093 +2251,MN,411,36,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,92 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C4,2,0,P,92 RIVINGTON LLC,1850,8080,600,7480,0,600,0,0,0,0,2,1,5,8,10,24.58,75.25,25,74,E,3,N,5,2,119276,182449,0,0,1900,0,0, , ,4.37,4,4,4,1,1004110036,0,3001,987393,201718,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,210.0179776,2033.027763,63173,13,0,2252,2252,10,2250,31.68099976,31.68099976,0,31.68099976,0,316.8099976 +2252,MN,612,41,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,43 CHARLES STREET,R6, , , , , , , , , ,N,C3,2,0, ,"ROBINSON, ERIC",1233,3268,0,3268,0,0,0,0,0,0,2,1,3,4,4,16.67,74,16.67,47, ,3,N,5,5,175139,293996,0,0,1910,0,0,Greenwich Village Historic District, ,2.65,2.43,0,4.8,1,1006120041,0,73,983440,207092,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,191.0380199,1309.096238,118857,8,0,2253,2253,5,1125,24.50222206,25.12999916,0.6277771,24.74266624,0.29496534,123.7133312 +2253,MN,293,18,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,7 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,JING LONG REALTY INC,2202,8530,660,7870,0,660,0,0,0,0,2,1,5,18,19,25.17,87.5,25,72, ,2,N,5,2,148500,901800,0,0,1900,1987,0, , ,3.87,3.44,6,6.5,1,1002930018,0,16,986171,199700,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,234.3214942,2404.018692,753300,16,0,2254,2254,12,2700,38.23899841,41.23199844,2.993000031,38.73783175,1.115425254,464.853981 +2254,MN,915,61,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,523 3 AVENUE,C1-9, , , , , , , , , ,N,S5,4,0, ,TRIUMPH REALTY MANAGE,1164,5800,985,4815,0,985,0,0,0,0,2,1,5,6,7,19.33,60,19,58, ,3,N,3,2,182008,637481,0,0,1920,0,0, , ,4.98,10,2,10,1,1009150061,0,78,990496,211137,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,170.5844225,1359.668746,455473,10,0,2255,2255,5,1125,27.39299965,31.59222221,4.199222565,29.15233307,1.906886547,145.7616653 +2255,MN,555,10,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,57 4 AVENUE,C6-2A, , , , , , , , , ,N,K1,5,0, ,101 EAST 9TH STREET L,3020,3000,3000,0,0,3000,0,0,0,0,2,1,1,0,2,25,86,25,75, ,3,Y,3,2,427050,721800,0,0,1988,0,0, , ,0.99,6.02,6,6.5,1,1005550010,0,42,986961,205453,12c, ,102 017,10207, ,0, ,1, , ,17V1.1,0,250.7296384,3369.320999,294750,12,0,2256,2256,15,3375,38.18777847,38.18777847,0,38.18777847,0,572.8166771 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AS,1237,3714,3714,0,0,3714,0,0,0,0,2,1,3,0,5,24.75,50,24.75,50,E,3,N,3,2,1620000,2738700,0,0,1920,0,0, , ,3,0,10,10,1,1007840048,0,109,986898,213129,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,150.0366846,1286.751303,1118700,6,0,2259,2259,4,900,34.68444443,34.68444443,0,34.68444443,0,138.7377777 +2259,MN,927,9,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,311 EAST 21 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,315 EAST 21ST STREETC,10000,44919,0,44919,0,0,0,0,0,0,2,1,7,76,76,100,100,100,92, ,3,N,5,2,1174500,5605200,0,0,1967,0,0, , ,4.49,4,0,4,1,1009270009,0,64,989561,207577,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,408.7209228,10436.06084,4430700,5,0,2260,2260,46,10350,12.9244442,17.98766708,5.063222885,13.1178162,0.874286962,603.4195452 +2260,MN,912,7,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,209 EAST 31 STREET,R7B, , , , , , , , , ,N,S1,4,0, ,MONARCH REALTY LLC,1852,6336,2664,3672,1332,0,0,0,0,1332,2,1,3,1,2,18.75,98.75,18.75,49,E,3,N,5,1,221378,232988,0,0,1901,0,0, , 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,17V1.1,0,294.6502724,4592.453091,2392650,11,0,2265,2265,20,4500,34.39699936,39.22555542,4.828556061,34.63842716,1.052359396,692.7685432 +2265,MN,700,38,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,506 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,1,P,MAESTRO WEST CHELSEA,4938,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,50,98.75,0,0, ,3,N,5,2,2088000,4180500,0,0,2015,0,0, , ,54.59,7.52,6,10,1,1007000038,0,99,983662,213064,8b, ,105S015,10301, ,0, ,1, , ,17V1.1,0,302.5426698,5050.770711,2092500,6,1,2266,2266,22,4950,11.49300003,14.13333321,2.640333176,11.72560609,0.735976984,257.9633341 +2266,MN,408,2,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,70 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,70 ORCHARD LLC,2209,8979,1823,7156,0,1823,0,0,0,0,2,1,5,16,18,25.25,87.5,25,69, ,3,N,5,2,225000,965700,0,0,1920,1985,0, , ,4.06,4,4,4,1,1004080002,0,18,986938,200673,12c, ,101N079,10204, ,0, ,1, , 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GANIARIS,",1800,7500,1500,6000,0,1500,0,0,0,0,2,1,5,4,5,20,90,20,90,E,3,N,3,5,42948,275425,0,0,1900,1985,2009,Tribeca West Historic District, ,4.17,6.02,6,6.5,1,1001800025,0,39,981455,201099,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,230.4631806,2138.608699,232477,14,0,2268,2268,10,2250,15.85299969,17.91777802,2.064778328,16.98786669,0.888081486,169.8786669 +2268,MN,493,13,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,30 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,HOP HING REALTY CORP,2825,15534,2760,12774,0,2760,0,0,0,0,2,1,6,25,30,23.5,126,24,126, ,3,Y,3,2,193950,2306250,0,0,1900,0,0, , ,5.5,6.02,6,6.5,1,1004930013,0,43,985666,202600,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,302.7526724,3160.682832,2112300,0,0,2269,2269,14,3150,42.74333191,44.52666473,1.783332825,43.12182399,0.621751352,603.7055359 +2269,MN,928,40,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,320 EAST 23 STREET,C1-9A, , , , , , , , , ,N,D6,4,0, ,NEW AMSTERDAM APTS CO,15800,153800,21000,132800,13000,0,8000,0,0,0,2,1,16,210,213,160,98.75,160,99, ,3,N,5,2,2529000,17576550,0,0,1965,2010,2010, , ,9.73,10,2,10,1,1009280040,0,64,989804,207851,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,523.2864304,16180.91891,15047600,11,0,2270,2270,72,16200,14.22500038,17.37000084,3.145000458,14.41145717,0.680525531,1037.624916 +2270,MN,519,29,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,20 KING STREET,R7-2, , , ,C1-5, , , , , ,N,B1,1,0, ,THE HELEN-JEAN ARTHUR,2062,2479,0,2479,0,0,0,0,0,0,2,1,4,2,2,20.58,100.17,20.5,40, ,3,N,5,2,24761,134481,1550,1550,1899,0,2009,Charlton-King-Vandam Historic District, ,1.2,3.44,0,6.5,1,1005190029,0,37,983265,204316,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,252.6305426,2352.05263,109720,9,0,2271,2271,12,2700,16.83888817,23.62666702,6.787778854,20.30092557,2.949732622,243.6111069 +2271,MN,874,7501,106,50,2000,2,2,10003,E005,13,14,5300,1,6, ,157 EAST 18 STREET,C1-9A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,9200,48850,8573,40277,1370,3518,0,3685,0,0,2,1,6,53,61,92,100,77,100, ,0,N,5,5,1087650,6710400,4720,4720,1955,0,0, , ,5.31,10,2,10,1,1008747501,775,50,988256,207458,12c, ,102 046,10307, ,1008740037,12/6/1991,1, , ,17V1.1,7,393.928764,9681.099424,5622750,5,0,2272,2272,43,9675,27.68333435,28.56999969,0.886665344,27.74245568,0.19881346,1192.925594 +2272,MN,516,40,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,155 PRINCE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,BLDG PRINCE LLC,884,3272,3272,0,0,1636,0,0,0,1636,2,1,3,2,4,20.08,44,20,36, ,3,N,5,1,195750,908100,0,0,1900,2004,0,SoHo-Cast Iron Historic District Extensi, ,3.7,0,5,6.5,1,1005160040,0,49,983957,203778,12a,Y,101N071,10206, ,1005160037,12/27/2001,1, , ,17V1.1,0,130.4568336,904.5650483,712350,0,0,2273,2273,3,675,17.67111206,17.67111206,0,17.67111206,0,53.01333618 +2273,MN,507,8,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,240 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,"240 ELIZABETH ST., LL",1861,6269,600,5669,0,600,0,0,0,0,2,1,5,8,9,19.92,91.33,20,58, ,3,N,5,2,26685,142309,0,0,1910,1986,0, , ,3.37,6.02,6,6.5,1,1005070008,0,43,986003,202777,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,227.6059011,1820.729868,115624,9,0,2274,2274,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +2274,MN,143,4,101,39,4008,2,1,10013,E007,1,15,7700,1,1,3A,55 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,TRIBECA OWNERS CORP,10053,103750,6000,97750,0,6000,0,0,0,0,2,1,10,45,46,102.83,99,102,100, ,2,Y,3,2,1926000,11088450,16520,16520,1900,1983,0,Tribeca West Historic District, ,10.32,6.02,6,6.5,1,1001430004,0,39,981669,200770,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,421.3888282,11091.7515,9162450,14,0,2275,2275,49,11025,12.50288868,15,2.497111321,12.71080735,0.576625235,622.8295603 +2275,MN,765,22,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,225 WEST 15 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PADRONE PROPERTIES LL,2581,9120,0,9120,0,0,0,0,0,0,2,1,5,25,25,25,103.25,25,82, ,3,N,5,2,157050,210600,0,0,1915,0,0, , ,3.53,4,0,4,1,1007650022,0,81,984209,208843,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,260.1138133,2602.434653,53550,7,0,2276,2276,11,2475,22.05333328,26.01222229,3.958889008,22.45656568,1.132633854,247.0222225 +2276,MN,16,20,101,317.04,4001,2,1,10280,E010,1,15,8900,1,1,1A,70 BATTERY PLACE,BPC, , , , , ,BPC, , , ,N,D8,3,0,X,NY URBAN LLC,29700,230766,0,230765,0,0,0,0,0,0,2,1,9,209,210,198,150,0,0, ,0,N,5,5,5355000,17751600,5355000,17751600,1998,0,0, , ,7.77,0,0,0,1,1000160020,0,31704,979342,196965,12b, ,101S088,10101, ,1000160003,9/30/1988,1, ,1,17V1.1,0,711.7130326,31137.00672,12396600,15,1,2277,2277,139,31275,11.22777748,12.56444454,1.336667061,12.28520413,0.361683331,1707.643374 +2277,MN,29,48,101,9,1010,2,1,10004,L015,1,15,7700,1,1,1B,19 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,S3,4,0,P,19 SOUTH WILLIAM LLC,1824,10944,5472,5472,0,5472,0,0,0,0,2,1,5,3,4,18.33,83.67,18.33,83.67, ,0,Y,5,5,63170,945571,0,0,1900,1967,2012,Stone Street Historic District, ,6,10,15,15,1,1000290048,0,9,981334,195914,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,217.0384046,1924.749844,882401,17,1,2278,2278,8,1800,10.66100025,10.96944523,0.308444977,10.69955587,0.102008588,85.59644699 +2278,MN,543,13,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,130 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,PIERR LE GAL DE KERAN,3932,18535,3500,15035,0,3500,0,0,0,0,2,1,5,4,6,50.33,80,50,77, ,3,Y,5,5,345062,1213567,0,0,1900,2005,2008,South Village Historic District, ,4.71,3.44,0,6.5,1,1005430013,0,65,983993,205461,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,255.0729853,3872.376542,868505,9,0,2279,2279,18,4050,19.06100082,21.2677784,2.206777573,19.21667364,0.515755988,345.9001255 +2279,MN,502,31,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,424 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K4,4,0, ,"CHARYN, SHELIA",1889,5250,5249,0,1750,1750,0,0,0,1749,2,1,3,2,4,26.11,70.2,26.92,65, ,1,N,5,2,450000,2466000,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,2.78,0,5,6.5,1,1005020031,0,49,983800,203514,12a, ,101N071,10206, ,1005020031,1/31/1995,1, , ,17V1.1,0,193.8867485,1875.486269,2016000,0,0,2280,2280,8,1800,12.81888866,15.95544434,3.136555672,13.21095812,1.037318285,105.687665 +2280,MN,770,3,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,202 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,"202 EIGHTH AVENUE,LLC",1500,6200,1380,4820,0,1380,0,0,0,0,2,1,5,8,9,20,75,20,69, ,3,N,5,2,40409,334519,0,0,1901,1984,0, , ,4.13,4,2,4,1,1007700003,0,87,984407,210157,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,196.1970823,1642.323847,294110,7,0,2281,2281,7,1575,22.20999908,22.20999908,0,22.20999908,0,155.4699936 +2281,MN,199,25,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,75 MULBERRY STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,SUN GARDEN REALTY COR,2500,7500,5000,2500,2500,2500,0,0,0,0,2,1,4,1,4,25,100,25,100,E,3,N,5,2,112500,454050,0,0,1993,0,0, , ,3,3.44,6,6.5,1,1001990025,0,29,984430,200260,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,254.0474339,2485.430397,341550,14,0,2282,2282,10,2250,22.37599945,22.37599945,0,22.37599945,0,223.7599945 +2282,MN,642,68,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,81 JANE STREET,R6, , , , , , , , , ,N,C0,2,0, ,"BROFSKY, NATASHA",1814,4056,0,2984,0,0,0,0,0,0,2,1,2,3,3,20.75,87.42,20.75,42,E,3,N,5,1,37846,139382,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1006420068,0,79,982226,208268,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,231.7779497,2122.348803,101536,8,1,2283,2283,12,2700,10.79777813,15.17000008,4.372221947,11.71740762,1.594974146,140.6088915 +2283,MN,824,42,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,184 5 AVENUE,C6-4M, , , , , , , , , ,N,O6,5,0, ,184 FIFTH,3713,29000,29000,0,23000,6000,0,0,0,0,2,1,8,0,9,37.08,100,37,100,E,3,N,5,2,900000,5499450,0,0,1920,1987,0,Ladies' Mile Historic District, ,7.81,10,10,10,1,1008240042,0,58,987003,209403,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,287.0834931,4025.186484,4599450,2,0,2284,2284,19,4275,34.46500015,34.46500015,0,34.46500015,0,654.8350029 +2284,MN,609,35,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,104 WEST 14 STREET,C6-2A,C6-3A, , , , , , , , ,Y,L8,6,0,P,100-106 LLC,4670,20742,20742,0,0,4000,0,16742,0,0,2,1,5,0,7,43.67,106.5,43.67,95, ,2,N,5,2,508500,3960900,0,0,1920,1967,0, , ,4.44,6.02,6,6.5,1,1006090035,0,71,984943,207901,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,307.4306509,4813.331394,3452400,8,0,2285,2285,23,5175,25.65555573,29.23444366,3.578887939,26.07170055,1.08326661,599.6491127 +2285,MN,542,7502,102,65,3001,2,1,10012,L009,6,15,5700,2,2, ,189 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,189 195 EQUITIES CORP,5550,27227,4450,22777,0,4450,0,0,0,0,2,2,6,40,41,0.12,0,75,60, ,0,N,5,5,945000,3990600,14980,14980,1900,0,0,South Village Historic District, ,4.91,3.44,0,6.5,1,1005427502,644,65,983903,205019,12a, ,103 006,10207, ,1005420054,9/25/1989,1, , ,17V1.1,7,303.4588408,5752.847641,3045600,9,0,2286,2286,26,5850,18.38111115,18.38111115,0,18.38111115,0,477.9088898 +2286,MN,141,2,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,134 READE STREET,C6-2A, , , , , ,TMU, , , ,N,L8,6,0,P,134 READE ST. LLC,2691,6925,2300,4625,0,2300,0,0,0,0,2,2,3,2,3,49.75,53.83,50,53, ,3,Y,5,2,157950,1399050,0,0,1915,1987,2013, , ,2.57,6.02,6,6.5,1,1001410002,0,39,981601,200327,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,210.3765113,2758.872381,1241100,14,0,2287,2287,13,2925,16.8029995,16.8029995,0,16.8029995,0,218.4389935 +2287,MN,902,55,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,202 EAST 22 STREET,C2-8A, , , , , , , , , ,N,S2,4,0, ,CHRIS SU REALTY CORP,1650,4488,1391,3097,0,1391,0,0,0,0,2,1,3,2,3,22,75,22,58, ,2,N,3,5,129757,182476,0,0,1910,1958,0, , ,2.72,10,2,10,1,1009020055,0,64,988842,208133,8d, ,102 047,10308, ,0, ,1, , ,17V1.1,0,198.4728695,1753.603909,52719,11,0,2288,2288,7,1575,20.62899971,22.1455555,1.516555786,21.0035711,0.602355104,147.0249977 +2288,MN,92,29,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,124 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,PERIOUSIA REALTY LLC,1410,4836,2470,2366,798,1672,0,0,0,0,2,1,5,2,4,19,78.17,19,77, ,3,Y,5,2,179100,813600,0,0,1900,2007,2007, , ,3.43,10,15,15,1,1000920029,0,1501,982388,198261,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,197.5128832,1467.512761,634500,4,0,2289,2289,7,1575,34.5909996,34.5909996,0,34.5909996,0,242.1369972 +2289,MN,722,47,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,410 WEST 25 STREET,R8A, , , , , , , , , ,N,C6,2,0,P,410 WEST 25TH STREET,2468,7992,0,7992,0,0,0,0,0,0,2,1,5,12,12,25,98.75,25,61, ,3,N,5,2,64350,884700,11800,11800,1910,1985,0, , ,3.24,6,0,6,1,1007220047,0,93,983917,211746,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,246.0105567,2388.549003,820350,2,1,2290,2290,12,2700,10.68099976,19.1511116,8.470111847,13.42343497,3.732687217,161.0812197 +2290,MN,625,5,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,807 GREENWICH STREET,R6, , , , , , , , , ,N,S2,4,0, ,"66 JANE STREET, LLC",1071,3600,900,2700,0,900,0,0,0,0,2,1,3,2,3,18.25,50.75,18.25,50, ,3,Y,3,5,60857,132204,0,0,1899,0,0,Greenwich Village Historic District, ,3.36,2.43,0,4.8,1,1006250005,0,79,982506,208166,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,148.3771573,1140.870821,71347,8,0,2291,2291,3,675,15.4800005,15.4800005,0,15.4800005,0,46.44000149 +2291,MN,405,9,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,502 EAST 12 STREET,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,HERRICK NORMA,1449,6300,0,6300,0,0,0,0,0,0,2,1,5,10,10,28,51.75,28,44, ,3,N,5,2,18214,81315,0,0,1900,0,0, , ,4.35,4,0,4,1,1004050009,0,34,989505,204796,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,166.4239054,1536.495462,63101,12,0,2292,2292,7,1575,13.81444454,15.93799973,2.123555183,14.41209521,0.945121323,100.8846664 +2292,MN,221,1,101,33,3002,2,1,10013,L008,1,15,7700,1,1,3B, VESTRY STREET,M1-6, , , , , , , , , ,N,U1,7,0, ,NYC DOT,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,161.58,461.67,0,0, ,0,Y,5,5,0,0,0,0,0,0,0,Tribeca North Historic District, ,0,0,10,10,1,1002210001,0,33,982331,202573,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,1026.180555,16729.13296,0,0,1,2293,2293,73,16425,9.686666489,11.75,2.063333511,9.768706074,0.361017737,713.1155434 +2293,MN,190,39,101,33,3013,2,1,10013,E007,1,15,7700,1,1,3B,8 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0, ,8 BEACH STREET REALT,1772,14886,5580,9306,3720,1860,0,0,0,0,2,1,8,5,8,27.17,76.25,27,75,E,3,Y,5,2,256262,560006,0,0,1915,1989,2005, , ,8.4,6.02,6,6.5,1,1001900039,0,33,982532,201634,12a, ,101N041,10105,E-257,0, ,1, ,1,17V1.1,0,202.6658217,1891.375539,303744,14,1,2294,2294,7,1575,9.793333054,9.793333054,0,9.793333054,0,68.55333138 +2294,MN,592,17,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,104 WEST WASHINGTON PLCE,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,JOSIP CALE,519,2076,375,1701,0,375,0,0,0,0,2,1,3,3,4,22,23.58,22,24, ,3,N,5,5,85069,194035,0,0,1910,0,0,Greenwich Village Historic District, ,4,3.44,0,6.5,1,1005920017,0,71,983988,206108,12c, ,103 005,10208, ,0, ,1, , ,17V1.1,0,94.73888773,557.2941595,108966,9,0,2295,2295,2,450,17.50333405,17.50333405,0,17.50333405,0,35.00666809 +2295,MN,461,18,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,220 EAST 6 STREET,R8B, , , , , , , , , ,N,P7,8,0,P,UKRAINIAN MUSEUM,7275,16479,16479,0,0,0,0,0,0,16479,2,1,3,0,1,75,97,56,75, ,0,N,5,5,652500,4691700,652500,4691700,2002,0,0, , ,2.27,4,0,4,1,1004610018,0,38,987089,204388,12c, ,102 018,10205,E-216,1004610018,1/2/2003,1, , ,17V1.1,0,350.6747132,7504.176803,4039200,1,0,2296,2296,33,7425,36.55199814,39.82444382,3.272445679,36.8876278,0.91325001,1217.291718 +2296,MN,625,26,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,622 HUDSON STREET,C1-6, , , , , , , , , ,N,D4,3,0, ,TABLE BAY CORP,5032,15084,0,15084,0,0,0,0,0,0,2,1,4,31,31,80.75,57.5,80,62, ,2,Y,3,1,463500,1677150,4720,4720,1940,1985,0,Greenwich Village Historic District, ,3,3.44,2,6.5,1,1006250026,0,77,982766,208135,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,294.9854096,5346.566571,1213650,8,0,2297,2297,20,4500,17.76333427,19.04777718,1.284442902,17.88655634,0.370034879,357.7311268 +2297,MN,742,35,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,163 8 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0, ,L&E BROKERAGE INC,1742,4198,1385,2813,0,1385,0,0,0,0,2,1,3,3,4,22.33,78,22.33,36,E,0,N,5,5,82253,189959,0,0,1901,0,0, , ,2.41,4,2,4,1,1007420035,0,89,984011,209799,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,197.6217759,1695.299533,107706,7,0,2298,2298,6,1350,15.59444427,15.59444427,0,15.59444427,0,93.56666565 +2298,MN,489,13,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,81 SULLIVAN STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,81 SULLIVAN LLC,2500,6297,800,5497,0,800,0,0,0,0,2,2,4,6,7,25,100,25,60, ,0,N,5,5,90582,251870,0,0,1900,2016,0,Sullivan-Thompson Historic District, ,2.52,3.44,0,6.5,1,1004890013,0,47,983271,203299,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,262.0859573,2825.242473,161288,0,1,2299,2299,12,2700,9.686666489,15.60555553,5.918889046,11.50501839,2.593440201,138.0602207 +2299,MN,484,28,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,489 BROADWAY,M1-5B, , , , , , , , , ,N,C7,4,0,P,YUKAH LLC,2142,10710,2000,8710,0,2000,0,0,0,0,2,1,5,8,11,17.33,100.08,17,100, ,3,Y,3,2,337500,1515150,0,0,1900,1991,2012,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004840028,0,49,984214,202352,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,288.7936021,2630.780543,1177650,0,0,2300,2300,12,2700,22.21222115,22.21222115,0,22.21222115,0,266.5466537 +2300,MN,459,15,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,58 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE MUTUALH,2500,11698,448,11250,0,448,0,0,0,0,2,1,5,16,17,26,96.17,25,90, ,3,N,5,2,154350,1055700,148176,1013472,1920,0,0,East Village/Lower East Side Historic Di, ,4.68,4,0,4,1,1004590015,0,38,986782,203979,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,250.406354,2542.449401,901350,1,0,2301,2301,12,2700,35.86666489,37.59000015,1.723335266,36.01027616,0.476304705,432.1233139 +2301,MN,478,33,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,166 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,166-166 1/2 BOWERY LL,2529,6875,4158,2717,906,2500,0,752,0,0,2,1,3,2,4,25.5,99.17,26,70, ,3,Y,5,2,227250,1184400,0,0,1900,2006,1998, , ,2.72,3.44,6,6.5,1,1004780033,0,41,985785,201673,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,252.8629971,2581.42463,957150,0,0,2302,2302,12,2700,35.62666702,35.62666702,0,35.62666702,0,427.5200043 +2302,MN,607,7501,102,71,3000,2,3,10011,Q018,6,15,6100,3,2, ,131 WEST 11 STREET,R6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2305,5464,1520,3944,0,1520,0,0,0,0,2,1,4,4,5,22.33,103.25,0,0, ,0,N,5,5,37663,481771,0,0,1910,1910,0,Greenwich Village Historic District, ,2.37,2.43,0,4.8,1,1006077501,392,71,984405,207471,12c, ,103 027,10209, ,1006070061,12/16/1987,1, , ,17V1.1,7,249.5344752,2179.745687,444108,8,0,2303,2303,9,2025,21.80333328,21.80333328,0,21.80333328,0,196.2299995 +2303,MN,743,83,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,156 9 AVENUE,C2-6A, , , , , , , , , ,N,C0,2,0, ,"156 9TH AVE, LLC",1840,4224,0,4224,0,0,0,0,0,0,2,1,4,3,3,22,80,22,48, ,3,Y,5,2,39096,117108,0,0,1920,0,0,Chelsea Historic District, ,2.3,4,2,4,1,1007430083,0,89,983528,210420,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,213.5197417,1959.312507,78012,7,0,2304,2304,9,2025,15.57888889,15.57888889,0,15.57888889,0,140.21 +2304,MN,237,7502,102,41,4001,2,1,10013,E055,5,15,6800,1,2, ,181 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,2070,7167,1550,5617,0,1550,0,0,0,0,2,1,7,9,10,20,100,20.5,99.62, ,0,N,5,5,87413,887043,6953,41973,2004,0,0, , ,3.46,6.02,6,6.5,1,1002377502,1502,41,984993,200922,12c, ,11N 048,10105, ,1002370031,3/31/2006,1, , ,17V1.1,7,250.7070544,2293.399712,799630,0,0,2305,2305,10,2250,32.43099976,32.43099976,0,32.43099976,0,324.3099976 +2305,MN,391,56,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,307 EAST 8 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,EAST VILLAGE 8TH ST C,2325,9984,0,9984,0,0,0,0,0,0,2,1,6,12,12,24.75,93.92,25,78, ,3,N,5,2,90000,1087650,7080,7080,1900,1987,0, , ,4.29,4,0,4,1,1003910056,0,2602,989820,203617,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,244.805104,2477.579047,997650,12,1,2306,2306,12,2700,8.318888664,8.318888664,0,8.318888664,0,99.82666397 +2306,MN,591,49,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,78 CHRISTOPHER STREET,C4-5,R6, , , , , , , , ,Y,C6,2,0,P,78-80 CHRISTOPHER STE,2960,11565,0,11565,0,0,0,0,0,0,2,1,5,15,15,49.25,60,49,52, ,3,Y,5,2,495000,1452150,0,0,1900,1985,0,Greenwich Village Historic District, ,3.91,3.44,3.4,6.5,1,1005910049,0,73,983283,206461,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,227.4525507,3176.514216,957150,9,0,2307,2307,14,3150,23.46111107,24.71444321,1.253332138,23.62666661,0.407094647,330.7733326 +2307,MN,300,4,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,42 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,TWO AND THREE ELDRIDG,2231,10230,1700,8530,0,1700,0,0,0,0,2,1,6,20,22,25,87.5,26,77, ,3,N,5,0,150750,629550,0,0,1930,1988,0, , ,4.59,3.44,6,6.5,1,1003000004,0,16,986205,200038,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,232.4265092,2329.693275,478800,13,0,2308,2308,11,2475,39.09000015,42.5,3.409999847,39.62822238,1.157737466,435.9104462 +2308,MN,722,37,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,229 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,C7,4,0, ,GOLDEN EQUITIES CORP.,4933,25158,4000,21158,0,4000,0,0,0,0,2,1,6,21,24,49.33,100,49,99,E,3,N,3,2,225000,3924450,0,0,1910,1988,0, , ,5.1,6,0,6,1,1007220037,0,93,983957,211579,8b,Y,105S005,10302, ,0, ,1, , ,17V1.1,0,321.0146517,5708.624003,3699450,2,1,2309,2309,25,5625,10.68099976,16.44555473,5.764554977,10.91158196,1.129617463,272.7895489 +2309,MN,281,38,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,53 DIVISION STREET,C6-1G, , , , , , , , , ,N,S2,4,0, ,LUCKY SUCCESS LLC,1708,3619,1360,2259,0,1360,0,0,0,0,2,1,3,2,3,25.08,68.25,25,68,E,3,Y,5,0,75452,187948,0,0,1920,0,0, , ,2.12,3.44,6,6.5,1,1002810038,0,8,985638,199424,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,187.1772394,1672.380296,112496,16,0,2310,2310,7,1575,35.10200119,36.89110947,1.789108276,35.35758809,0.626057482,247.5031166 +2310,MN,830,52,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1A,12 WEST 29 STREET,M1-6, , , , , , , , , ,N,C6,2,0,P,COMCASA INC,1852,8700,3100,5600,1350,1750,0,0,0,0,2,1,5,5,7,18.75,98.75,19,69,E,2,N,5,2,128129,603076,2360,2360,1925,0,0, , ,4.7,0,10,10,1,1008300052,0,76,987598,210888,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,242.6597223,1967.452716,474947,11,0,2311,2311,8,1800,43.21222305,45.63666534,2.424442291,43.51527834,0.801808921,348.1222267 +2311,MN,559,7501,103,42,1000,1,2,10003,L003,9,14,6200,4,3, ,108 3 AVENUE,C1-9A, , , , , , , , , ,N,RM,4,0, , ,7500,88971,1605,87366,0,1605,0,0,0,0,2,1,21,84,86,75,100,75,67, ,3,N,0,5,810001,14915704,0,2807907,2006,0,0, , ,11.86,10,2,10,1,1005597501,1742,42,987621,206312,12c, ,102 025,10207, ,1005590038,9/14/2007,1, , ,17V1.1,7,353.3914606,7608.45426,14105700,12,0,2312,2312,33,7425,36.68999863,38.53888702,1.848888397,36.84259126,0.487803586,1215.805511 +2312,MN,900,27,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,329 2 AVENUE,R9A,R8B, , , , , , , , ,Y,D6,4,0, ,245 E. 19 REALTY LLC,23966,303394,26279,277115,0,8779,11500,0,0,6000,2,1,20,292,299,184,144,184,144,G,1,Y,3,2,2533500,25352100,0,0,1963,2013,0, , ,12.66,7.52,0,7.52,1,1009000027,0,64,989007,207381,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,667.8957358,24877.03085,22818600,5,0,2313,2313,112,25200,20.64333344,24.63333321,3.989999771,20.97247972,0.610306241,2348.917728 +2313,MN,939,22,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,335 EAST 33 STREET,R8A, , , , , , , , , ,N,C5,2,1, ,BOLANOS PROPERTIES LL,1975,6858,1500,5358,1500,0,0,0,0,0,2,1,5,12,13,20,98.75,20,68, ,3,N,5,2,99450,936450,0,0,1910,1988,0, , ,3.47,6,0,6,1,1009390022,0,70,991234,210227,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,242.4537812,2081.798981,837000,10,1,2314,2314,10,2250,10.03999996,12.89111137,2.851111412,10.60200005,1.004889671,106.0200005 +2314,MN,486,7501,102,49,1009,2,1,10013,E055,1,15,6800,1,2, ,472 BROOME STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,CBJE CONDOMINIUM,5000,18545,5000,13545,0,0,0,0,0,5000,2,1,5,5,7,50,100,0,100, ,0,N,5,5,80740,982556,8882,51147,1950,0,0,SoHo-Cast Iron Historic District, ,3.71,0,5,6.5,1,1004867501,725,49,983818,202647,12a, ,101N070,10206, ,1004860034,11/15/1990,1, , ,17V1.1,7,310.6850354,5298.447584,901816,0,0,2315,2315,24,5400,11.1744442,11.1744442,0,11.1744442,0,268.1866608 +2315,MN,586,72,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,7 LEROY STREET,R7-2, , , ,C1-5, , , , , ,N,C3,2,0, ,7 LEROY STREET LLC,1980,3791,0,3791,0,0,0,0,0,0,2,2,2.5,4,4,22,90,22,37, ,3,N,5,5,123260,340879,0,0,1910,2011,0,Greenwich Village Historic District Exte, ,1.91,3.44,0,6.5,1,1005860072,0,67,983340,205587,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,221.5412805,1908.868312,217619,9,0,2316,2316,8,1800,17.38400078,17.38400078,0,17.38400078,0,139.0720062 +2316,MN,552,53,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,110 WAVERLY PLACE,R7-2, , , , , , , , , ,N,S2,4,0, ,BABBO REALTY LLC,2138,5676,2112,3564,0,2112,0,0,0,0,2,1,4,2,3,22,97.17,22,96, ,3,N,5,2,110983,254470,0,0,1899,1999,0,Greenwich Village Historic District, ,2.65,3.44,0,6.5,1,1005520053,0,65,984450,206067,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,247.7483347,2303.622322,143487,9,0,2317,2317,9,2025,17.50333405,18.14222336,0.638889313,17.57432175,0.20078354,158.1688957 +2317,MN,298,32,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,39 CANAL STREET,C6-2, , , , , , , , , ,N,L8,6,0, ,TUNG GOON RLTY CP,1100,5435,5435,0,0,1050,0,4385,0,0,2,1,5,0,5,21.83,50,22,50, ,3,N,3,2,72900,373050,0,0,1900,1989,0, , ,4.94,6.02,6,6.5,1,1002980032,0,16,986698,199718,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,152.2825444,1238.400751,300150,13,0,2318,2318,6,1350,37.64699936,38.61677933,0.969779968,37.85244433,0.355044234,227.114666 +2318,MN,827,22,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,13 WEST 25 STREET,M1-6, , , , , , , , , ,N,M1,8,0,X,PROVSLAND CRKS,24445,47600,47600,0,0,0,0,0,0,47600,2,2,1,0,2,121.67,197.5,55,175, ,0,Y,4,2,4401000,11063250,4401000,11063250,1900,0,0, ,SERBIAN ORTHODOX CATHEDRAL OF ST. S,1.95,0,10,10,1,1008270022,0,58,987068,210237,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,702.7502787,24848.5487,6662250,2,0,2319,2319,111,24975,42.08222198,45.86888886,3.78666687,43.27888087,1.281881591,4803.955776 +2319,MN,454,42,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,203 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,12TH & 1ST LLC,1295,3740,935,2805,0,935,0,0,0,0,2,1,4,3,4,20,64.75,20,65, ,3,N,5,5,96948,144803,0,0,1920,1988,0, , ,2.89,4,0,4,1,1004540042,0,40,988790,205373,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,173.1701844,1299.848316,47855,12,0,2320,2320,5,1125,22.37666702,22.37666702,0,22.37666702,0,111.8833351 +2320,MN,411,6,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,156 ORCHARD STREET,C4-4A, , , , , , , , , ,N,D9,3,0, ,156 ORCHARD STREET LL,2200,8350,2000,6350,0,2000,0,0,0,0,2,2,5,16,19,25,88,25,43, ,0,N,5,5,373500,1534050,0,0,1900,1998,0, , ,3.8,4,4,4,1,1004110006,0,3001,987416,201900,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,230.4577555,2243.855439,1160550,1,0,2321,2321,10,2250,31.68099976,36.6333313,4.952331543,32.17623291,1.485699463,321.7623291 +2321,MN,529,69,102,55.02,2004,2,1,10012,L009,9,15,5700,1,2,2A,55 BLEECKER STREET,M1-5B, , , , , , , , , ,N,K1,5,0,P,59 BLEECKER REALTY,7838,8035,8035,0,0,8035,0,0,0,0,2,1,1,0,3,81.75,100.25,80,81, ,3,Y,3,0,386550,1622250,0,0,1920,0,0,NoHo Historic District, ,1.03,0,5,6.5,1,1005290069,0,5502,985707,203862,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,382.1380602,8987.125481,1235700,9,0,2322,2322,39,8775,40.84700012,43.29299927,2.445999146,40.97400294,0.433053202,1597.986115 +2322,MN,765,41,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,90 7 AVENUE,C6-3A, , , , , , , , , ,N,D6,4,0,P,"200 ASSOCITES, L.L.C.",10325,141491,5000,136491,0,5000,0,0,0,0,2,1,19,175,180,103.25,100,103,100,E,2,N,3,2,1521000,10221750,0,0,1930,1985,0, , ,13.7,7.52,6,7.5,1,1007650041,0,81,984482,208812,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,421.464332,11101.97273,8700750,7,0,2323,2323,49,11025,22.05333328,28.46333313,6.409999847,22.52367343,1.492539297,1103.659998 +2323,MN,609,31,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,112 WEST 14 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,114 WEST 14 REALTY LL,5313,19225,13525,5700,0,4500,0,9025,0,0,2,1,5,7,9,50,106.5,50,106.5, ,3,N,5,2,792000,2150100,0,0,1910,0,0, , ,3.62,6.02,6,6.5,1,1006090031,0,71,984857,207948,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,318.1040836,5399.976112,1358100,8,0,2324,2324,24,5400,25.65555573,30.01888847,4.363332748,25.97815752,1.079338789,623.4757805 +2324,MN,558,18,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,122 EAST 13 STREET,C6-2A, , , , , , , , , ,N,D3,3,0, ,122 EAST 13TH STREET,2581,10225,0,10225,0,0,0,0,0,0,2,1,5.75,16,16,25,103.25,25,103.25, ,3,N,5,0,225000,1099800,0,0,1900,1986,0, , ,3.96,6.02,6,6.5,1,1005580018,0,42,987329,206277,12c, ,102 025,10207, ,1005580044,12/7/1987,1, , ,17V1.1,0,265.8134272,2739.131174,874800,12,0,2325,2325,12,2700,38.19900131,42.42889023,4.229888916,38.55149206,1.169079537,462.6179047 +2325,MN,29,7501,101,9,1005,2,1,10004,L015,1,15,7700,1,1, ,48 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,9150,61238,16522,44716,0,16522,0,0,0,0,2,3,8,39,42,150.9,145.5,0,0, ,0,Y,0,5,2051100,4606650,0,0,1920,1997,0, ,DELMONICO'S BUILDING,6.69,10,15,15,1,1000297501,1002,9,981364,196111,12b, ,11S 002,10101, ,1000290082,12/2/1998,1, , ,17V1.1,7,453.8862015,10342.12284,2555550,17,1,2326,2326,47,10575,11.23400021,13.85333347,2.619333267,11.55502618,0.70945699,543.0862303 +2326,MN,542,42,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,3 MINETTA LANE,R7-2, , , ,C1-5, , , , , ,N,B1,1,0,P,DIANA BURROUGHS,912,2736,0,2736,0,0,0,0,0,0,2,1,3,2,2,19.28,47.35,19,36, ,3,Y,5,2,24024,102734,1550,1550,1900,0,0,South Village Historic District, ,3,3.44,0,6.5,1,1005420042,0,65,983982,205270,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,131.788093,912.2503911,78710,9,0,2327,2327,4,900,18.38111115,18.90333366,0.522222519,18.51166677,0.226128984,74.0466671 +2327,MN,695,7507,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,515 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,RM,4,0, , ,3950,38807,2820,35987,0,2750,0,70,0,0,2,1,14,11,12,40,98.75,38,72, ,1,N,0,5,1798652,5654918,0,3286042,2008,0,0, , ,9.82,7.52,6,7.5,1,1006957507,2065,99,982962,211867,8b, ,15S 003,10301, ,1006950027,4/26/2012,1, ,1,17V1.1,7,291.303752,4007.905864,3856270,2,1,2328,2328,18,4050,8.416999817,11.32666683,2.909667015,9.506567796,1.036883311,171.1182203 +2328,MN,18,100,101,13,2006,2,1,10004,E010,1,15,7700,1,1, ,56 GREENWICH STREET,C6-9,C5-5, , , , ,LM, , , ,Y,T9,7,0,C,MTA Bridges and Tunne,183456,193026,193026,0,0,0,2127,0,0,190899,2,2,7,0,1,1020.32,176.34,249,176,G,0,Y,5,5,33021900,44948700,33021900,44948700,1949,0,0, , ,1.05,10,15,15,1,1000180100,0,13,980169,196646,12b, ,101S003,10101, ,1000180100,5/20/2008,1,1,1,17V1.1,0,2496.399434,190861.7477,11926800,15,1,2329,2329,847,190575,7.869999886,13.58777809,5.717778206,8.591847548,1.395394836,7277.294873 +2329,MN,879,52,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,150 EAST 24 STREET,C6-3A, , , , , , , , , ,N,G1,10,0, ,24TH STREET MMP GARAG,3931,20384,20384,0,0,0,20384,0,0,0,2,1,14,0,1,25.6,98.75,25.5,52.4, ,2,N,5,2,702000,1823400,0,0,2009,0,0, , ,5.19,7.52,6,7.5,1,1008790052,0,68,988722,208790,8d, ,104 005,10307, ,1008790052,11/3/2010,1, , ,17V1.1,0,304.6536633,4393.391282,1121400,11,0,2330,2330,20,4500,26.06111145,31.01111221,4.950000763,26.30861149,1.078827655,526.1722298 +2330,MN,493,10,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,230 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"STUART, JONATHAN",2300,10095,1345,8750,0,1345,0,0,0,0,2,1,6,11,12,25,92,25,91, ,3,N,5,2,103500,748800,0,0,1900,1988,0, , ,4.39,6.02,6,6.5,1,1004930010,0,43,985665,202469,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,243.7447477,2438.158946,645300,0,0,2331,2331,11,2475,42.74333191,42.74333191,0,42.74333191,0,470.176651 +2331,MN,468,25,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,232 EAST 13 STREET,R8B, , , , , , , , , ,N,A5,1,0,P,"ZWIRNER, MONICA",2211,5208,0,5208,0,0,0,0,0,0,2,2,4,1,1,21.42,103.25,21,62,E,3,N,5,2,17815,318405,0,0,1900,2008,2008, , ,2.36,4,0,4,1,1004680025,0,40,987976,205918,12c, ,102 026,10205, ,1004680025,10/5/2011,1, , ,17V1.1,0,298.8387559,4568.441446,300590,12,0,2332,2332,20,4500,28.72333336,33.56000137,4.836668015,29.58828897,1.436635582,591.7657795 +2332,MN,874,7504,106,50,2000,2,2,10003,E005,13,14,5300,1,6, ,220 3 AVENUE,C1-9A, , , , , , , , , ,N,RM,4,0, , ,2280,14410,2748,11662,0,1800,0,948,0,0,2,1,8,16,20,38,60,38,60, ,3,N,0,2,405001,3278252,2360,554401,1901,2006,2006, , ,6.32,10,2,10,1,1008747504,2252,50,988334,207557,12c, ,102 046,10307, ,1008740045,7/26/2011,1, , ,17V1.1,7,204.2699197,2520.114277,2873250,5,0,2333,2333,11,2475,27.68333435,27.95000076,0.266666412,27.71242506,0.076661149,304.8366756 +2333,MN,401,47,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,533 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,533 EAST 5TH STREET L,2385,10581,500,10081,0,500,0,0,0,0,2,1,6,24,25,24.58,97,25,95, ,3,N,5,1,225000,1510200,0,0,1900,1984,0, , ,4.44,3,0,3,1,1004010047,0,32,989028,203199,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,251.1735666,2469.750893,1285200,1,0,2334,2334,11,2475,14.20666695,16.24111176,2.034444809,14.53626286,0.705538435,159.8988914 +2334,MN,884,26,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,119 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0,P,108 CHARLTON STREET R,1786,8250,3300,4950,0,3300,0,0,0,0,2,1,5,6,9,22.33,80,22,75,E,2,N,3,2,228983,1022450,0,0,1920,1979,2004, , ,4.62,6.02,6,6.5,1,1008840026,0,72,989195,209840,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,210.1198086,1923.014256,793467,11,0,2335,2335,8,1800,31.56888962,34.11555481,2.546665192,31.89604211,0.839214778,255.1683369 +2335,MN,284,21,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,179 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,D7,4,0, ,FKCO REALTY INC.,2608,11340,4576,6764,0,2288,0,2288,0,0,2,1,5,7,8,26.08,100,26,88, ,3,N,5,2,225431,583505,0,10530,1941,2006,2006, , ,4.35,3.44,0,6.5,1,1002840021,0,6,987218,199366,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,260.2381922,2714.794805,358074,13,0,2336,2336,12,2700,20.93000031,27.28000069,6.350000381,21.459167,1.75504739,257.510004 +2336,MN,580,39,102,37,2004,2,3,10014,E024,1,15,6800,1,2,1B,348 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,REMAINDERMAN 350 HUDS,30057,259427,259427,0,230602,28825,0,0,0,0,2,1,9,0,9,200.25,150,200.25,150, ,0,Y,3,2,5535000,39283200,0,0,1930,2010,2013, , ,8.63,0,10,10,1,1005800039,0,37,982353,204378,12a, ,101N066,10208, ,0, ,1, , ,17V1.1,0,726.5263544,32225.18879,33748200,0,0,2337,2337,143,32175,15.62055588,16.69000053,1.069444656,16.59201633,0.148646404,2372.658335 +2337,MN,237,25,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,131 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,AURORA SPORTSWER GROU,2433,8912,1782,7130,0,1782,0,0,0,0,2,2,5,21,23,24.58,99.58,25,50, ,3,Y,5,5,112500,292500,0,0,1900,0,0, , ,3.66,6.02,6,6.5,1,1002370025,0,41,985063,201017,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.0792013,2593.039341,180000,0,0,2338,2338,10,2250,31.40799904,35.2155571,3.80755806,32.70953274,1.592223115,327.0953274 +2338,MN,451,16,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,210 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,210 EAST 10TH LLC,2306,7612,0,7612,0,0,0,0,0,0,2,1,5,11,11,25,92.25,25,85, ,3,N,5,2,74250,841500,0,0,1900,0,0, , ,3.3,4,0,4,1,1004510016,0,40,988075,204974,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,240.6926968,2418.571853,767250,12,0,2339,2339,11,2475,23.10400009,28.06711197,4.963111877,23.55519208,1.426794347,259.1071129 +2339,MN,779,56,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,222 WEST 30 STREET,M1-6D, , , , , , , , , ,N,K2,5,0, ,HEMAT REALTY CORP,2312,4624,4624,0,2312,2312,0,0,0,0,2,1,2,0,1,23.42,98.75,23.42,98.75, ,3,N,5,2,179550,509400,0,0,1920,0,0, , ,2,10,10,10,1,1007790056,0,95,985999,212066,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,255.4494844,2499.767832,329850,6,0,2340,2340,12,2700,31.05999947,32.52111053,1.461111069,31.21675873,0.409915034,374.6011047 +2340,MN,457,7,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,317 BOWERY,C6-1,R8B, , , , , , , , ,Y,N2,8,0, ,"G F ASSOCIATES 1, LP",3050,14910,14910,0,0,0,0,0,0,14910,2,1,6,0,1,28.17,165.58,28,86, ,3,Y,5,2,329400,1184400,0,0,1918,1996,0, , ,4.89,3.44,6,6.5,1,1004570007,0,3602,986545,203489,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,388.3730189,4219.436814,855000,1,0,2341,2341,18,4050,41.87900162,46.05111313,4.172111511,43.00145149,1.531238743,774.0261269 +2341,MN,415,62,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,79 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,77 RIVINGTON OWNER LL,1938,8261,1652,6609,0,1652,0,0,0,0,2,2,5,16,17,25.17,77,25,63, ,3,N,5,2,225450,1175850,0,0,1910,1998,0, , ,4.26,4,4,4,1,1004150062,0,18,987163,201678,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,207.6185654,1919.458382,950400,13,0,2342,2342,9,2025,35.49499893,36.52777863,1.032779694,35.78604847,0.418756777,322.0744362 +2342,MN,528,8,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,204 WEST HOUSTON STREET,R6, , , , , , , , , ,N,D4,3,0,P,200 WEST HOUSTON OWNE,10559,37968,0,37968,0,0,0,0,0,0,2,2,5,29,29,100,112.67,50,76,E,3,Y,5,5,738000,5045400,25960,25960,1869,1988,2014, , ,3.6,2.43,0,4.8,1,1005280008,0,67,983120,204769,12a, ,103 003,10206, ,1005280035,1/6/1994,1, , ,17V1.1,0,422.7143501,10935.77569,4307400,9,0,2343,2343,49,11025,15.38333321,15.38333321,0,15.38333321,0,753.7833271 +2343,MN,465,9,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,102 EAST 10 STREET,C6-2A, , , , , , , , , ,N,B9,1,0, ,"FRIEDMAN-KLEIN, ALVIN",893,2736,0,2052,0,0,0,0,0,0,2,1,3,2,2,19.33,46.5,19.33,36, ,3,Y,5,1,38666,80179,0,0,1899,0,0,St. Mark's Historic District Extension, ,3.06,6.02,6,6.5,1,1004650009,0,40,987372,205389,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,138.7660803,1022.795192,41513,12,0,2344,2344,4,900,33.48777771,35.22122192,1.733444214,33.92113876,0.750603363,135.6845551 +2344,MN,494,25,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,229 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"HOP YICK REALTY II, L",2475,8940,1250,7690,0,1250,0,0,0,0,2,2,5,13,15,25,99,25,50, ,0,N,5,2,74250,888750,0,0,1900,0,0, , ,3.61,6.02,6,6.5,1,1004940025,0,43,985534,202529,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,252.4353834,2554.188766,814500,0,0,2345,2345,12,2700,38.86500168,45.29666519,6.431663513,40.86185265,2.296117443,490.3422318 +2345,MN,635,11,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,753 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,S2,4,0, ,753 WASHINGTON STREET,1112,3680,1000,2680,0,1000,0,0,0,0,2,1,3,2,3,20,55,20,55, ,3,Y,3,5,25340,67184,0,0,1905,0,0,Greenwich Village Historic District, ,3.31,4,2,4,1,1006350011,0,79,982022,207739,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,159.1322222,1262.366946,41844,8,1,2346,2346,8,1800,12.22333336,13.34599972,1.122666359,12.87702775,0.479253803,103.016222 +2346,MN,214,12,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,11 HUBERT STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0,P,JMW HUBERT LLC,5006,10218,5308,4910,4588,0,0,0,0,720,2,1,3,2,4,50.33,99.25,50,98, ,3,Y,3,2,432900,1011600,0,0,1920,1989,2008,Tribeca West Historic District, ,2.04,6.02,6,6.5,1,1002140012,0,39,981659,202027,12a, ,101N039,10105,E-257,0, ,1, , ,17V1.1,0,313.101384,5587.596894,578700,14,0,2347,2347,25,5625,12.28499985,13.7322216,1.447221756,12.55102203,0.472983723,313.7755508 +2347,MN,745,31,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,303 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,GALILEO ASSOCS. LLC,2469,9575,0,9575,0,0,0,0,0,0,2,1,5,15,15,25,98.75,25,88, ,0,N,5,2,85950,1086750,0,0,1900,1999,0, , ,3.88,3,0,3,1,1007450031,0,89,984307,210487,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,251.3667581,2325.861969,1000800,7,0,2348,2348,11,2475,15.97222233,21.75777817,5.78555584,17.01345461,2.039127782,187.1480007 +2348,MN,500,1,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,100 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,WOOSTER 100 REALTY LT,3170,14922,1492,13430,0,1492,0,0,0,0,2,1,5,4,5,25,123.75,25,124, ,3,N,5,2,138030,878216,2360,2360,1900,2008,2016,SoHo-Cast Iron Historic District, ,4.71,0,5,6.5,1,1005000001,0,49,984083,203177,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,314.0580028,3474.380856,740186,0,0,2349,2349,15,3375,17.84111023,19.60333252,1.76222229,17.95859172,0.43957547,269.3788757 +2349,MN,622,31,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,393 BLEECKER STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,DENISE RENEE SOBEL AS,1520,3200,0,3200,0,0,0,0,0,0,2,1,4,1,1,20,75.58,20,40, ,3,Y,5,2,110308,244379,0,0,1899,2013,0,Greenwich Village Historic District, ,2.11,3.44,2,6.5,1,1006220031,0,73,982914,207306,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,194.3312839,1470.893708,134071,8,0,2350,2350,6,1350,24.5988884,26.06555557,1.466667175,24.94705518,0.549407403,149.6823311 +2350,MN,500,21,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,110 PRINCE STREET,M1-5A, , , , , , , , , ,N,K1,5,0,P,BUGER REALTY CORP.,1500,2420,2420,0,0,2420,0,0,0,0,2,1,1,0,1,20,71,20,71, ,2,N,3,0,675000,3343950,0,0,1920,1993,1997,SoHo-Cast Iron Historic District, ,1.61,0,5,6.5,1,1005000021,0,49,984372,203384,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,187.671944,1555.091462,2668950,0,0,2351,2351,6,1350,24.89599991,24.89599991,0,24.89599991,0,149.3759995 +2351,MN,886,26,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,169 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,169 HOLDING CORP.,2194,4269,1146,3123,0,1146,0,0,0,0,2,1,4,3,4,21.92,100.92,21.92,53, ,3,N,5,2,198116,630536,0,0,1920,1985,1999, , ,1.95,6.02,6,6.5,1,1008860026,0,72,989497,210364,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,251.4665943,2345.234775,432420,10,0,2352,2352,9,2025,28.17889023,28.17889023,0,28.17889023,0,253.6100121 +2352,MN,201,2,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,58 MOTT STREET,C6-1, , , , , , , , , ,N,S5,4,0, ,58 MOTT STREET LLC,1235,4646,930,3716,0,930,0,0,0,0,2,2,5,6,7,25,49.5,25,15.5,E,0,Y,5,5,43334,202321,0,0,1910,0,0, , ,3.76,3.44,6,6.5,1,1002010002,0,29,984758,200082,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,148.2842249,1214.053935,158987,14,0,2353,2353,6,1350,33.0379982,33.87111282,0.833114624,33.17685064,0.310483489,199.0611038 +2353,MN,823,23,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,29 WEST 21 STREET,C6-4A, , , , , , , , , ,N,D5,3,0, ,"TWENTY-FIRST LOFTS, L",2518,14842,2400,12442,0,2400,0,0,0,0,2,1,7,6,7,25.5,98.75,26,97, ,3,N,5,2,78946,1495878,0,0,1910,2009,0,Ladies' Mile Historic District, ,5.89,10,10,10,1,1008230023,0,58,986474,209286,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,252.9238939,2642.503203,1416930,7,0,2354,2354,13,2925,33.74333191,33.74333191,0,33.74333191,0,438.6633148 +2354,MN,440,40,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,437 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,12TH STREET REALTY,5008,18674,3112,15562,0,3112,0,0,0,0,2,1,6,38,40,48.5,103.25,49,92, ,3,N,5,2,526500,2214900,0,0,1910,1987,0, , ,3.73,4,0,4,1,1004400040,0,34,989321,205052,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,306.868025,5090.604439,1688400,12,0,2355,2355,22,4950,16.59444427,16.59444427,0,16.59444427,0,365.077774 +2355,MN,849,49,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,44 EAST 21 STREET,M1-5M, , , , , , , , , ,N,S9,4,0, ,CGMT HALL REAL ESTATE,2300,7650,2400,5250,850,1550,0,0,0,0,2,1,5,3,6,25,92,25,60, ,3,N,5,1,170125,723030,0,0,1920,1987,0,Ladies' Mile Historic District, ,3.33,0,5,6.5,1,1008490049,0,52,987503,208542,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,245.5907418,2434.664489,552905,5,0,2356,2356,12,2700,34.69888687,37.25555801,2.556671143,35.02825801,0.773679084,420.3390961 +2356,MN,576,7503,102,63,1001,2,3,10011,L003,6,15,5700,3,2, ,8 WEST 13 STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,3500,37683,3515,34168,0,3515,0,0,0,0,2,1,11,30,32,40,100,0,0, ,0,Y,0,5,427500,3984750,26780,26780,1910,0,0, , ,10.77,6.02,6,6.5,1,1005767503,886,63,985609,207236,12c, ,103 020,10207, ,1005760034,11/22/1994,1, , ,17V1.1,7,286.5198108,3861.305115,3557250,8,0,2357,2357,16,3600,23.70299912,32.14599991,8.443000793,31.60710406,2.04129069,505.713665 +2357,MN,239,27,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,108 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,S9,4,0, ,"108 BOWERY,",4140,15231,5016,10215,0,3344,0,1672,0,0,2,1,5,4,7,37.5,110.25,38,88,E,3,Y,5,2,252658,1124329,0,0,1920,1988,0, , ,3.68,3.44,6,6.5,1,1002390027,0,41,985530,200876,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,307.9087688,4384.497737,871671,0,0,2358,2358,21,4725,31.48699951,37.09555435,5.60855484,32.09211059,1.529990871,673.9343224 +2358,MN,437,15,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,268 EAST 10 STREET,R8B, , , , , , , , , ,N,P6,9,0, ,DST RUSSIAN & TURKSHE,2300,5403,5403,0,0,0,0,0,0,5403,2,1,4,2,3,25,92.25,25,84, ,3,Y,5,1,162900,513000,0,0,1900,1988,0, , ,2.35,4,0,4,1,1004370015,0,34,988797,204573,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,237.5729861,2344.65836,350100,12,0,2359,2359,12,2700,17.51666641,21.16555595,3.648889542,17.82074054,1.008499793,213.8488865 +2359,MN,89,1,101,15.01,1005,2,1,10038,E006,1,15,7700,1,1,1B,99 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,AFRICAN AMERICAN CO.,10310,100000,96325,3675,78325,18000,0,0,0,0,2,1,10,7,159,117.58,100.17,117,100, ,3,Y,3,2,3645000,8550000,0,0,1873,1985,0, ,BENNETT BUILDING,9.7,10,15,15,1,1000890001,0,1501,982109,198136,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,455.3308119,10911.39742,4905000,0,0,2360,2360,48,10800,36.27399826,38.81111145,2.53711319,36.46539203,0.507541452,1750.338818 +2360,MN,833,47,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,2 WEST 32 STREET,C6-4, , , , , , , , , ,N,K4,4,0, ,FOUR DEE EQUITIES LLC,4938,26900,26900,0,7581,19319,0,0,0,0,2,1,6,0,16,50,98.75,50,92,E,3,N,5,2,873000,4021200,0,0,1921,0,0, , ,5.45,10,10,10,1,1008330047,0,76,988077,211501,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,300.7839419,5036.773233,3148200,10,0,2361,2361,23,5175,41.76111221,43.66222,1.901107788,41.86218444,0.393349588,962.8302422 +2361,MN,235,9,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1A,216 CENTRE STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,SEA CULL THREAD INC,1025,4675,4675,0,0,935,0,3740,0,0,2,1,5,4,5,25.08,42,25,38, ,3,Y,5,2,33750,617850,0,0,1912,1978,0, , ,4.56,0,5,6.5,1,1002350009,0,41,984601,201316,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,132.8912062,1011.30331,584100,0,0,2362,2362,4,900,18.99699974,21.25744438,2.260444641,19.5621109,0.978801242,78.2484436 +2362,MN,449,24,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,70 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,HARRY THEARD,2438,7600,0,7600,0,0,0,0,0,0,2,1,5,8,9,25,97.5,25,64,E,3,N,5,1,66991,321894,0,0,1900,1986,0, , ,3.12,4,0,4,1,1004490024,0,38,988076,204407,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.8336197,2500.192566,254903,12,0,2363,2363,12,2700,26.02777863,28.16111183,2.133333206,26.74272219,0.53228592,320.9126663 +2363,MN,855,20,105,56,1004,2,2,10010,E016,13,15,5700,1,5,1B,350 PARK AVENUE SOUTH,C5-3, , , , , , , , , ,N,L8,6,0, ,WA JUNG REALTY CORP,1481,5089,5089,0,0,1500,0,3589,0,0,2,1,4,0,4,19.75,75,20,75,E,3,N,5,2,240750,644850,0,0,1920,0,0, , ,3.44,10,15,15,1,1008550020,0,56,988259,209543,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,194.1889217,1500.263226,404100,11,0,2364,2364,7,1575,35.47800064,35.47800064,0,35.47800064,0,248.3460045 +2364,MN,924,5,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,318 2 AVENUE,R9A, , , , , , , , , ,N,C6,2,0, ,318 SECOND AVENUE TEN,2167,6367,0,6367,0,0,0,0,0,0,2,1,5,5,5,21.67,100,22,74,E,3,N,5,1,145307,619487,2360,2360,1910,1976,0, , ,2.94,7.52,0,7.52,1,1009240005,0,48,989068,207056,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,253.7947354,2238.787589,474180,5,0,2365,2365,10,2250,14.83555603,21.42666626,6.591110229,16.74082222,2.160285098,167.4082222 +2365,MN,389,51,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,619 EAST 6 STREET,R8B, , , , , , , , , ,N,E9,6,0, ,CPARE LLC,2366,2250,2250,0,1650,0,600,0,0,0,2,1,1,0,1,25.67,90.83,25.67,90.83, ,0,Y,5,5,79650,170550,0,0,1900,0,0, , ,0.95,4,0,4,1,1003890051,0,2602,989669,203131,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,242.3724821,2449.613156,90900,1,1,2366,2366,10,2250,8.683333397,9.168999672,0.485666275,9.120433044,0.145699883,91.20433044 +2366,MN,413,19,103,18,6000,2,1,10002,L006,5,14,7400,1,3,2B,79 ALLEN STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,CHEN SE FAI,2221,6825,1365,5460,0,1365,0,0,0,0,2,1,5,8,10,25.17,88.25,25,55, ,3,N,5,2,77745,234579,0,0,1900,0,0, , ,3.07,4,4,4,1,1004130019,0,18,986620,200853,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,232.9941223,2308.918055,156834,13,0,2367,2367,12,2700,39.72000122,39.72000122,0,39.72000122,0,476.6400146 +2367,MN,774,85,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,290 8 AVENUE,C6-2A, , , , , , , , , ,N,S1,4,0, ,290 8TH AVE. LLC,2467,4686,2015,2671,0,2015,0,0,0,0,2,1,3,1,2,24.67,100,24.67,45,E,0,N,5,5,80373,139791,0,0,1910,0,0, , ,1.9,6.02,6,6.5,1,1007740085,0,91,984970,211147,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,251.8689541,2418.600731,59418,2,0,2368,2368,11,2475,24.85199928,24.85199928,0,24.85199928,0,273.3719921 +2368,MN,698,54,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,530 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,J5,5,0,P,27TH STREET PROPERTY,3839,22524,22524,0,0,0,0,0,0,22524,2,1,6,0,6,38.83,98.75,38.84,80, ,3,N,5,2,316800,3900600,0,0,1920,2004,2003, , ,5.87,0,5,6.5,1,1006980054,0,99,983179,212744,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,281.8254882,4048.649218,3583800,2,1,2369,2369,17,3825,9.857999802,9.857999802,0,9.857999802,0,167.5859966 +2369,MN,164,37,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,23 MOTT STREET,C6-1, , , , , , , , , ,N,M1,8,0,X,R C CHUR TRANSFIGURAT,11926,20775,20775,0,0,0,0,0,0,15753,2,2,4,0,0,120,89.33,75,57, ,0,Y,3,5,1120500,4338900,1120500,4338900,1915,0,0, ,CHURCH OF THE TRANSFIGURATION,1.74,3.44,6,6.5,1,1001640037,0,29,984504,199663,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,460.137381,12197.26939,3218400,14,0,2370,2370,54,12150,22.77000046,35.74222183,12.97222137,25.83426963,3.79966314,1395.05056 +2370,MN,449,35,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,121 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,SANICOLA I FAMILY LIM,1000,3680,940,2740,0,940,0,0,0,0,2,1,4,3,4,20,50,20,46, ,3,N,5,5,95640,142389,0,0,1900,0,0, , ,3.68,4,0,4,1,1004490035,0,38,988182,204258,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,148.0917399,1097.377961,46749,12,0,2371,2371,5,1125,26.66699982,26.66699982,0,26.66699982,0,133.3349991 +2371,MN,609,72,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,153 WEST 13 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"153 WEST 13TH STREET,",2065,4316,0,3196,0,0,0,0,0,0,2,1,3,1,1,20,103.25,20,42,E,3,N,5,1,140092,237231,0,0,1899,2009,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006090072,0,71,984447,208055,12c,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,250.9281415,2014.460696,97139,8,0,2372,2372,8,1800,27.22500038,28.70777702,1.482776642,27.66437531,0.622549584,221.3150024 +2372,MN,878,34,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,155 EAST 22 STREET,C2-8A, , , , , , , , , ,N,M3,8,0,X,GUSTAVUS ADOLPHUS LUT,1975,8025,8025,0,0,0,0,0,0,8025,2,1,5,0,1,20,98.75,20,81, ,3,N,5,2,222300,541350,222300,541350,1880,0,0, , ,4.06,10,2,10,1,1008780034,0,68,988704,208343,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,241.000838,2010.136051,319050,11,0,2373,2373,9,2025,22.27111053,23.22399902,0.952888489,22.37698703,0.299463961,201.3928833 +2373,MN,832,80,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,870 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,L8,6,0, ,FARENY-2 MANAGEMENT L,1260,5040,5040,0,0,1200,0,3840,0,0,2,1,4,0,5,21,60,21,60, ,3,N,5,2,202500,569250,0,0,1910,0,0, , ,4,10,10,10,1,1008320080,0,76,987281,211645,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,164.5113384,1258.870921,366750,6,0,2374,2374,6,1350,42.49789047,43.25099945,0.753108978,43.12548129,0.280667145,258.7528877 +2374,MN,404,55,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,301 EAST 10 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C2,2,0, ,KAMO ASSOCIATES LLC,2369,4615,0,4615,0,0,0,0,0,0,2,1,4,6,6,25,94.75,25,52, ,3,N,5,5,33570,149087,0,0,1900,1985,0,East 10th Street Historic District, ,1.95,4,0,4,1,1004040055,0,34,989342,204446,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,244.180812,2390.164221,115517,12,0,2375,2375,11,2475,12.53199959,17.04111099,4.509111404,14.35143419,1.808427927,157.8657761 +2375,MN,642,57,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,822 GREENWICH STREET,R6, , , , , , , , , ,N,D0,3,0, ,GREENWICH CORP,6887,19032,0,19032,0,0,0,0,0,0,2,1,3,24,24,63.67,93,64,88, ,3,Y,4,2,450000,2079450,26370,26370,1920,1983,0,Greenwich Village Historic District, ,2.76,2.43,0,4.8,1,1006420057,0,79,982386,208324,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,406.6791935,6847.067048,1629450,8,1,2376,2376,29,6525,10.79777813,14.51744461,3.719666481,10.96027236,0.683876753,317.8478985 +2376,MN,924,32,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,317 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,"GUSIK, SARA ANN",2300,5222,900,4322,0,900,0,0,0,0,2,1,4,5,6,23,100,23,53, ,3,N,5,5,165628,590415,0,0,1910,0,0, , ,2.27,4,2,4,1,1009240032,0,48,989540,206760,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,254.5714833,2477.119177,424787,5,0,2377,2377,11,2475,14.83555603,14.83555603,0,14.83555603,0,163.1911163 +2377,MN,277,7501,103,8,2000,2,1,10002,E009,5,14,7800,1,3, ,25 MARKET STREET,R7-2, , , , , , , , , ,N,RM,4,0, ,HONTO 88 CONDOMINIUMS,16383,57578,11338,46240,11338,0,0,0,0,0,2,1,15,74,96,100.5,138,0,138, ,0,Y,5,5,1426495,6278397,193337,391016,1989,0,0, , ,3.51,3.44,0,6.5,1,1002777501,723,8,985696,198960,12d, ,101S029,10107, ,1002770027,11/15/1990,1, , ,17V1.1,7,690.2103674,16705.79906,4851900,16,0,2378,2378,75,16875,26.91300011,33.62333298,6.71033287,28.66489049,2.816455079,2149.866787 +2378,MN,542,60,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,201 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,LONGO PETER E,2400,6645,1575,5070,0,1575,0,0,0,0,2,2,4,5,6,25,96,25,96,E,3,N,5,5,120453,328290,0,0,1900,0,0,South Village Historic District, ,2.77,3.44,0,6.5,1,1005420060,0,65,983823,205084,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,248.7358113,2528.600818,207837,9,0,2379,2379,12,2700,18.38111115,18.38111115,0,18.38111115,0,220.5733337 +2379,MN,43,6,101,7,1010,2,1,10005,E004,1,15,7700,1,1, ,26 WALL STREET,C5-5, , , , , ,LM, , , ,N,Z9, ,0,P,US GOVERNMENT,17200,23199,23199,0,23199,0,0,0,0,0,2,1,2.75,0,1,90.25,197.5,90,170, ,1,Y,3,1,6705000,11490300,6705000,11490300,1900,0,0, ,FEDERAL HALL NATIONAL MEMORIAL,1.35,10,15,15,1,1000430006,0,7,981403,196971,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,589.5713281,19048.61952,4785300,17,0,2380,2380,85,19125,24.2195549,33.40333176,9.183776855,24.79946116,1.762847964,2107.954199 +2380,MN,378,34,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,123 AVENUE D,R8A, , , ,C1-5, , , , , ,N,K1,5,0, ,HASA REALTY CORP,2186,2186,2186,0,0,2186,0,0,0,0,2,1,1,0,1,23.5,93,24,93, ,3,N,5,0,180000,431100,0,0,1910,2004,0, , ,1,6,0,6,1,1003780034,0,2602,990886,203096,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,238.0649403,2221.859091,251100,12,1,2381,2381,11,2475,7.409999847,7.409999847,0,7.409999847,0,81.50999832 +2381,MN,512,15,102,49,1003,2,1,10012,L020,1,15,6800,1,2,1A,593 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,ARNOLD BIAS PRODUCTSI,11966,62536,62536,0,17536,9000,0,0,0,0,2,2,5,8,15,60,200,30,198, ,3,Y,4,5,2689650,13824900,0,0,1920,1989,2009,SoHo-Cast Iron Historic District, ,5.23,0,5,6.5,1,1005120015,0,49,984914,203470,12c, ,101N072,10206, ,1005120015,11/1/2013,1, , ,17V1.1,0,535.6959976,12450.71764,11135300,9,0,2382,2382,55,12375,35.58000183,37.07155609,1.49155426,36.38091868,0.142616925,2000.950527 +2382,MN,792,61,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,144 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"RUBIN, DONALD CULTURA",2231,8675,3800,4875,0,3800,0,0,0,0,2,1,5,14,15,24.25,92,24,77, ,3,N,5,2,114750,1276650,22950,255330,1915,1987,0, , ,3.89,6.02,6,6.5,1,1007920061,0,81,984924,208851,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,239.8931507,2373.662513,1161900,7,0,2383,2383,10,2250,27.66555595,29.03333282,1.367776871,27.80233364,0.410333061,278.0233364 +2383,MN,624,7502,102,77,4002,2,3,10014,L005,6,15,6100,3,2, ,69 BANK STREET,R6, , , , , , , , , ,N,R4,3,0,P,OWNER / AGENT,5400,19853,0,19853,0,0,0,0,0,0,2,1,4,15,15,150,117,0,0, ,0,N,5,5,1170002,2950201,14160,14160,1983,0,0,Greenwich Village Historic District, ,3.68,2.43,0,4.8,1,1006247502,106,77,982957,207759,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,7,331.8063269,5370.889322,1780200,8,0,2384,2384,23,5175,20.58111191,20.58111191,0,20.58111191,0,473.3655739 +2384,MN,559,55,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,113 EAST 13 STREET,C6-2A,C6-1, , , , , , , , ,Y,D7,4,0,O,HHSC 13TH ST DEVELOPM,15450,108817,21817,87000,21817,0,0,0,0,0,2,1,12,90,91,150,103,150,58, ,0,N,5,5,900000,6084000,846000,5718960,1994,0,0, , ,7.04,6.02,6,6.5,1,1005590055,0,42,987308,206472,12c, ,102 025,10207, ,1005590016,12/19/1994,1, , ,17V1.1,0,507.5462624,15543.74886,5184000,12,0,2385,2385,68,15300,36.68999863,44.01777649,7.327777863,37.62470144,2.272320527,2558.479698 +2385,MN,495,1,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,231 LAFAYETTE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,THE TRASIMENO ASSOCIA,2395,13845,2375,11470,0,2375,0,0,0,0,2,3,5,19,25,95.17,25.17,25,95, ,0,N,3,5,155250,785700,0,0,1910,1987,2013, , ,5.78,6.02,6,6.5,1,1004950001,0,43,985113,202476,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,256.8807144,2727.195895,630450,0,0,2386,2386,11,2475,37.57110977,38.80444336,1.233333588,37.6834533,0.354488872,414.5179863 +2386,MN,476,54,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,26 THOMPSON STREET,M1-5B,M1-5A, , , , , , , , ,Y,C4,2,0,P,RESTORATION RLTY DVLC,3741,18020,600,17420,0,600,0,0,0,0,2,1,6,27,27,39.17,95.5,39,82, ,3,Y,5,2,177750,1500750,0,0,1920,0,0, , ,4.82,0,5,6.5,1,1004760054,0,47,983136,202636,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,270.5539959,3785.032043,1323000,0,1,2387,2387,17,3825,9.686666489,9.686666489,0,9.686666489,0,164.6733303 +2387,MN,277,40,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,38 HENRY STREET,R7-2, , , , , , , , , ,N,G6,10,0, ,HENRY MADISON ASSOC.,2517,0,0,0,0,0,0,0,0,0,7,1,0,0,0,25.17,100,0,0, ,0,N,5,5,329850,329850,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002770040,0,8,985335,198920,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,258.2064544,2680.994061,0,16,0,2388,2388,11,2475,29.72888947,30.65555573,0.92666626,30.13282845,0.240690741,331.461113 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,N,K2,5,0, ,"HJR OPERATING ONE, L.",2762,5520,5520,0,2500,3020,0,0,0,0,2,1,2,0,4,40.17,68.75,37,67, ,2,N,5,2,180000,505800,0,0,1920,1986,0, , ,2,4,2,4,1,1003960009,0,28,990383,204909,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,226.9236044,2977.076941,325800,12,1,2391,2391,13,2925,10.09222221,10.89888859,0.806666374,10.23181189,0.273349371,133.0135546 +2391,MN,353,40,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,128 DELANCEY STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,DELANCEY NORFOLK LLC,3323,9849,9849,0,6566,3283,0,0,0,0,2,1,3,0,2,25.75,100,25,100, ,3,Y,5,2,343800,2182500,0,0,1900,2005,2005, , ,2.96,6.02,6,6.5,1,1003530040,0,18,987737,201139,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,310.5965373,3485.488655,1838700,13,0,2392,2392,15,3375,29.00666618,29.00666618,0,29.00666618,0,435.0999928 +2392,MN,29,23,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,79 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,46 STONE LLC C/O 46 S,2025,7875,5355,2520,0,5355,0,0,0,0,2,1,4,2,3,21.25,85.25,21,85, ,3,Y,4,2,239850,933300,0,0,1920,2013,0,Stone Street Historic District, ,3.89,10,15,15,1,1000290023,0,9,981362,195794,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,216.2961083,2115.815869,693450,17,1,2393,2393,10,2250,11.55000019,12.39666653,0.846666336,11.63466682,0.253999901,116.3466682 +2393,MN,906,9,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,215 EAST 25 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,STERLING PROPERTIES C,2469,9415,0,9415,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,87, ,3,N,5,2,70650,1061550,0,0,1912,1937,0, , ,3.81,4,0,4,1,1009060009,0,66,989433,208870,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,252.2354664,2490.133346,990900,11,0,2394,2394,11,2475,30.26000023,35.16555405,4.905553818,30.76977782,1.404494626,338.467556 +2394,MN,796,63,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,142 WEST 21 STREET,C6-3A, , , , , , , , , ,N,G1,10,0, ,JADLAMM REALTY CORP,8188,16376,16376,0,0,0,16376,0,0,0,2,1,2,0,2,89,92,89,92, ,3,Y,5,2,450000,1344150,0,0,1925,0,0, , 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,1006370013,12/1/2009,1,1,1,17V1.1,7,339.9115817,7218.681528,5466150,9,1,2397,2397,33,7425,9.977777481,10.32311058,0.345333099,10.0567605,0.054773533,331.8730965 +2397,MN,899,24,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,311 2 AVENUE,R9A, , , , , , , , , ,N,C7,4,0, ,NYC 1800 HOLDINGS LLC,3406,16026,1750,14276,0,1750,0,0,0,0,2,1,6,24,25,34.67,98,35,86, ,2,N,3,2,229950,2561400,0,0,1910,0,0, , ,4.71,7.52,0,7.52,1,1008990024,0,48,988864,207088,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,275.507393,3721.443338,2331450,5,0,2398,2398,15,3375,20.82333374,20.82333374,0,20.82333374,0,312.3500061 +2398,MN,452,50,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,215 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,RENTAL APARTMENTS,2369,10728,925,9803,0,925,0,0,0,0,2,1,6,24,25,25,94.75,25,80, ,3,N,5,2,270000,1165950,0,0,1900,1989,2009, , ,4.53,4,0,4,1,1004520050,0,40,988193,205083,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.6915886,2555.010464,895950,12,0,2399,2399,11,2475,22.86222267,28.47555542,5.613332748,24.13929332,2.115843192,265.5322266 +2399,MN,207,1,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1A,235 CANAL STREET,M1-5B, , , , , , , , , ,N,O5,5,1, ,"CENTRE COURT,",7291,43942,43942,0,25771,18171,0,0,0,0,2,1,5,0,1,71,92,48,94, ,1,Y,3,0,2227500,12051900,0,0,1920,2006,0, , ,6.03,0,5,6.5,1,1002070001,0,41,984367,200904,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,377.6805086,7911.114941,9824400,0,0,2400,2400,34,7650,16.31666756,19.20599937,2.889331818,18.92297992,0.709407692,643.3813171 +2400,MN,885,1,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,425 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D4,3,0,P,425 PARK SOUTH TOWER,5293,109012,6035,102977,0,4035,0,2000,0,0,2,1,20,74,76,66.17,80,66,80, ,3,N,3,2,1188000,9072450,72143,72143,1927,1988,0, , ,20.6,10,10,10,1,1008850001,0,72,988894,210327,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,298.8772519,5550.588015,7884450,11,0,2401,2401,25,5625,32.84000015,41.83555603,8.995555878,33.19982239,1.762761748,829.9955597 +2401,MN,507,7501,102,43,1000,2,1,10012,L020,5,15,6800,1,2, ,11 PRINCE STREET,C6-2,C6-1, , , , ,LI, , , ,Y,RM,4,0, ,11 PRINCE CONDOMINIUM,5245,19170,1491,17679,0,1491,0,0,0,0,2,1,6,22,25,61,91,0,0, ,0,Y,5,5,542248,2782798,30554,51043,1900,0,0, , ,3.65,6.02,6,6.5,1,1005077501,535,43,985975,202600,12c, ,101N076,10206, ,1005070050,10/7/1988,1, , ,17V1.1,7,303.6285577,5501.871925,2240550,0,0,2402,2402,25,5625,44.71333313,46.95000076,2.236667633,46.21666611,0.629886916,1155.416653 +2402,MN,621,6,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,548 HUDSON STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,"548 HUDSON,",1556,4068,618,3450,0,618,0,0,0,0,2,1,4,1,2,20.5,74.92,20,40,E,3,Y,5,5,62887,325236,0,0,1852,2015,0,Greenwich Village Historic District, ,2.61,3.44,2,6.5,1,1006210006,0,73,982639,207028,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,195.790681,1619.627605,262349,9,0,2403,2403,5,1125,21.76222229,21.76222229,0,21.76222229,0,108.8111115 +2403,MN,348,71,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,176 DELANCEY STREET,R8A, , , , , , , , , ,N,C4,2,0, ,176 DELANCEY STREET A,2500,5250,1750,3500,0,1750,0,0,0,0,2,1,3,4,6,25,100,25,70, ,3,N,5,5,51159,135149,0,0,1920,1985,0, , ,2.1,6,0,6,1,1003480071,0,1402,988423,200836,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,256.2065659,2551.344131,83990,13,0,2404,2404,12,2700,23.08555603,23.08555603,0,23.08555603,0,277.0266724 +2404,MN,769,7502,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,237 WEST 19 STREET,C6-2A, , , , , , , , , ,N,R6,2,0,P,OWNER / AGENT,942,2455,0,2455,0,0,0,0,0,0,2,1,3,3,3,15,62.83,0,0, ,0,N,5,5,11876,244754,0,0,1900,1973,0, , ,2.61,6.02,6,6.5,1,1007697502,254,87,984567,209763,8d, ,103 034,10304, ,1007690018,12/9/1985,1, , ,17V1.1,7,155.3552954,913.2902744,232878,7,0,2405,2405,4,900,21.88888931,21.88888931,0,21.88888931,0,87.55555725 +2405,MN,483,35,102,45,1002,2,1,10013,E055,5,15,6800,1,2,1A,432 BROOME STREET,M1-5B, , , , , , , , , ,N,D6,4,0,P,BROOME STREET OWNER L,8275,50285,4646,45639,0,4646,0,0,0,0,2,1,7,10,11,71,117,72,114, ,2,Y,3,0,693900,10177621,0,0,2014,0,0,SoHo-Cast Iron Historic District, ,6.08,0,5,6.5,1,1004830035,0,45,984514,202211,12c, ,101N073,10206,E-331,0, ,1, , ,17V1.1,0,371.3444531,8185.983554,9483720,0,0,2406,2406,36,8100,24.68222237,30.26000023,5.577777863,28.24924395,1.822313734,1016.972782 +2406,MN,392,42,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,641 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ADEIA ASSOCIATES,2307,8160,0,8160,0,0,0,0,0,0,2,2,5,13,13,25,92.25,25,48, ,0,N,5,2,236700,991800,0,0,1900,1984,0, , ,3.54,4,0,4,1,1003920042,0,28,990205,203685,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,241.8989218,2441.251231,755100,12,1,2407,2407,11,2475,8.920000076,10.48999977,1.569999695,9.209615967,0.439342393,101.3057756 +2407,MN,608,33,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,112 WEST 13 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"112 WEST 13TH STREET,",2065,4256,0,3556,0,0,0,0,0,0,2,1,4,2,2,20,103.25,20,40, ,3,N,5,1,76256,254968,0,0,1899,1991,1991,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1006080033,0,71,984737,207711,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.5748948,2105.250132,178712,8,0,2408,2408,10,2250,24.04400063,27.38000107,3.336000443,24.66986732,1.255140927,246.6986732 +2408,MN,618,12,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,242 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,S4,4,0, ,J & R 240 LLC,3288,7152,1976,5176,0,1976,0,0,0,0,2,2,4,4,5,25,131.5,25,90, ,0,N,5,5,159006,639128,0,0,1910,1987,2013, , ,2.18,6.02,6,6.5,1,1006180012,0,77,983726,208563,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,319.3140788,3318.43106,480122,8,0,2409,2409,15,3375,22.30444527,22.30444527,0,22.30444527,0,334.566679 +2409,MN,587,20,102,67,3001,2,3,10014,E024,6,15,6400,1,2,2B,57 7 AVENUE,C2-6, , , , , , , , , ,N,S3,4,0, ,"JEM REAL ESTATE CO.,",1650,2480,620,1860,0,620,0,0,0,0,2,1,4,3,4,34,38.58,34,39,E,2,Y,5,5,94742,216693,0,0,1960,0,0,Greenwich Village Historic District Exte, ,1.5,3.44,2,6.5,1,1005870020,0,67,983228,205839,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,116.4077084,716.3317757,121951,9,0,2410,2410,3,675,18.00777817,18.00777817,0,18.00777817,0,54.0233345 +2410,MN,416,58,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,163 ORCHARD STREET,C4-4A, , , , , , , , , ,N,H9,5,0, ,"NADICO HOSPITALITY, L",2319,19024,0,0,0,0,0,0,0,0,2,1,11,0,1,26.5,87.5,26.5,80, ,3,N,4,2,625950,4408200,0,0,2009,0,0, , ,8.2,4,4,4,1,1004160058,0,3001,987316,202018,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,234.769533,2353.509105,3782250,1,0,2411,2411,11,2475,33.08889008,36.37888718,3.289997101,35.56757597,1.177184627,391.2433357 +2411,MN,411,7,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,158 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ORCHARD GARDEN REALTY,2170,8950,1350,7600,0,1350,0,0,0,0,2,2,5,38,40,25.5,88,25,43, ,0,N,5,5,360000,1710450,0,0,1890,1998,0, , ,4.12,4,4,4,1,1004110007,0,3001,987426,201924,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,235.3060813,2463.070443,1350450,1,0,2412,2412,10,2250,31.68099976,36.01222229,4.331222534,32.94193306,1.754613435,329.4193306 +2412,MN,915,38,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,240 EAST 35 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,"SAINT-AMAND, PIERRE",12343,91745,9500,82245,0,0,9500,0,0,0,2,1,12,121,121,125,98.75,73,97,G,3,N,5,2,1246500,8381700,78290,78290,1955,1988,0, , ,7.43,4,0,4,1,1009150038,0,78,990843,210899,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,451.5840689,12614.75523,7135200,10,0,2413,2413,56,12600,18.38999939,21.13666725,2.746667862,19.09486076,1.00975309,1069.312202 +2413,MN,473,7502,102,45,1003,2,1,10013,E055,5,15,6800,1,2, ,30 CROSBY STREET,M1-5B, , , , , , , , , ,N,R4,3,0, , ,11700,55693,0,55693,0,0,0,0,0,0,2,1,7,13,13,100.98,100,100,100, ,0,Y,0,5,274501,7529851,2360,2360,1890,0,0,SoHo-Cast Iron Historic District, ,4.76,0,5,6.5,1,1004737502,1179,45,984324,201946,12c, ,11N 073,10206, ,0, ,1, , ,17V1.1,7,418.4444348,10931.12039,7255350,0,0,2414,2414,50,11250,20.99799919,21.94288826,0.944889069,21.02654587,0.14729716,1051.327293 +2414,MN,589,28,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,331 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K1,5,0, ,331 SIXTH AVE. LLC,2332,2332,2332,0,0,2332,0,0,0,0,2,1,1,0,2,25,65.42,25,65.42, ,3,Y,4,2,945000,1651500,0,0,1987,1987,0,Greenwich Village Historic District Exte, ,1,3.44,0,6.5,1,1005890028,0,67,983826,205757,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,239.2686049,2375.940021,706500,9,0,2415,2415,11,2475,15.87222195,15.87222195,0,15.87222195,0,174.5944414 +2415,MN,450,30,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,143 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,VILLAGE JV 143 FIRST,2342,5980,900,5080,0,900,0,0,0,0,2,1,5,8,10,23.42,100,25,50, ,3,N,5,2,42180,298883,0,0,1900,1986,0, , ,2.55,4,0,4,1,1004500030,0,38,988325,204569,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,255.6039597,2608.458993,256703,12,0,2416,2416,11,2475,25.4810009,25.4810009,0,25.4810009,0,280.2910099 +2416,MN,448,15,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,62 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,62 EAST 7TH ST LLC,2498,9325,0,9325,0,0,0,0,0,0,2,1,5,11,11,25,99.92,25,82, ,3,N,5,2,97650,498600,0,0,1910,1985,0,East Village/Lower East Side Historic Di, ,3.73,4,0,4,1,1004480015,0,38,987800,204270,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,255.4270277,2564.444011,400950,12,0,2417,2417,11,2475,27.1590004,30.89111137,3.732110977,27.69432363,1.102238612,304.6375599 +2417,MN,452,22,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,328 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,CAPRIO RALPH,2369,9012,1802,7210,0,1802,0,0,0,0,2,1,5,14,16,25,94.75,25,71, ,3,N,5,2,140400,859050,0,0,1900,0,0, , ,3.8,4,0,4,1,1004520022,0,40,988394,205084,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,242.271315,2410.910424,718650,12,0,2418,2418,11,2475,22.86222267,25.98111153,3.118888855,23.39505092,1.133148588,257.3455601 +2418,MN,633,55,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,557 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,WILLIAM GOTTLIEB,1072,2712,900,1812,0,900,0,0,0,0,2,1,3,3,4,16,71,16,20,E,0,Y,5,5,219074,416988,0,0,1940,1985,0,Greenwich Village Historic District, ,2.53,3.44,2,6.5,1,1006330055,0,75,982501,207202,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,170.0378105,1089.493681,197914,9,0,2419,2419,4,900,19.46666718,20.94444466,1.477777481,19.83611155,0.63989642,79.34444618 +2419,MN,529,7507,102,55.02,1002,2,1,10012,L009,9,15,5700,2,2, ,57 BOND STREET,C6-1,M1-5B, , , , , , , , ,Y,RM,4,0, , ,5898,25574,7610,17964,0,7610,0,0,0,0,2,1,6,10,12,95.88,46.21,95.88,46.21, ,0,Y,0,5,510750,4015800,0,0,2002,0,0, , ,4.34,3.44,6,6.5,1,1005297507,1319,5502,986333,203639,12c, ,103 010,10207, ,1005290038,12/24/2003,1, , ,17V1.1,7,331.4876563,6259.380818,3505050,9,0,2420,2420,27,6075,41.23199844,44.98666382,3.754665375,41.61189567,1.079701914,1123.521183 +2420,MN,548,45,102,59,3000,2,1,10003,E033,6,15,5700,1,2,2A,15 WAVERLY PLACE,R7-2, , , , , , , , , ,N,D4,3,0, ,WAVERLY MEWS CORP,18995,102024,13600,88424,0,13600,0,0,0,0,2,1,6,120,127,143,132.92,143,133, ,3,N,3,2,1543500,10151100,99530,99530,1930,1988,0, , ,5.37,3.44,0,6.5,1,1005480045,0,59,985815,205391,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,566.4992095,20025.17842,8607600,9,0,2421,2421,90,20250,32.49333191,37.88555527,5.392223358,33.05584081,1.364618151,2975.025673 +2421,MN,930,1,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,422 2 AVENUE,C1-9,R8, , , , , , , , ,Y,D4,3,0, ,305 EAST 24TH OWNERS,33822,392100,31900,360200,0,10000,21900,0,0,0,2,1,20,384,394,197.5,180,197,141, ,0,Y,3,2,5445000,36387000,1077724,1077724,1964,0,0, , ,11.59,10,2,10,1,1009300001,0,66,989854,208397,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,768.5617563,34978.25091,30942000,11,0,2422,2422,156,35100,18.4640007,27.73999977,9.275999069,24.73274647,0.943884793,3858.308449 +2422,MN,78,40,101,15.02,1002,2,1,10038,E006,1,15,7700,1,1,1B,86 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,S2,4,0, ,"H.B.S. EQUITIES,",854,4140,850,3290,0,850,0,0,0,0,2,1,5,2,3,16.58,51.75,19,52, ,0,Y,5,2,211594,274752,0,0,1910,2004,2004, , ,4.85,10,15,15,1,1000780040,0,1502,982077,197925,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,139.0662302,881.9248747,63158,4,0,2423,2423,4,900,34.06200027,35.16110992,1.09910965,34.33677769,0.475928439,137.3471107 +2423,MN,401,60,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,507 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"BERENGUER, NANCY",2426,6185,1000,5185,0,1000,0,0,0,0,2,1,5,8,9,25,97,25,48, ,2,N,5,2,21216,121518,0,0,1900,1946,0, , ,2.55,3,0,3,1,1004010060,0,32,988743,203356,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,253.2828995,2576.444943,100302,1,0,2424,2424,12,2700,14.20666695,20.97555542,6.768888474,16.2184817,2.245477164,194.6217804 +2424,MN,885,27,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,141 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0, ,MARBILLA LLC,1381,4278,1353,2925,1353,0,0,0,0,0,2,1,4,6,7,16.25,85,16,85, ,3,N,5,2,114729,380735,0,0,1910,1920,2015, , ,3.1,6.02,6,6.5,1,1008850027,0,72,989338,210092,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,207.7929793,1401.170379,266006,10,0,2425,2425,7,1575,30.56200027,30.56200027,0,30.56200027,0,213.9340019 +2425,MN,429,5,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,18 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,E WEINSTEIN,4400,18390,3065,15325,0,3065,0,0,0,0,2,1,6,27,30,44,100,44,82, ,3,N,5,1,333000,1760400,0,0,1900,0,0, , ,4.18,4,0,4,1,1004290005,0,3002,987599,202853,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,289.6822728,4379.443956,1427400,1,0,2426,2426,21,4725,28.19499969,32.40000153,4.205001831,28.39523788,0.895492375,596.2999954 +2426,MN,300,24,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,27 ALLEN STREET,C6-1G, , , , , , , , , ,N,K2,5,0, ,"SHERMAN, JACOB",2202,3810,3810,0,0,3810,0,0,0,0,2,1,2,0,2,25.17,87.5,25,76, ,3,N,5,2,115200,253800,0,0,1900,0,0, , ,1.73,3.44,6,6.5,1,1003000024,0,16,986308,200051,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,232.90272,2317.404756,138600,13,0,2427,2427,11,2475,39.09000015,41.5633316,2.473331451,39.64349504,0.923526812,436.0784454 +2427,MN,517,24,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,149 THOMPSON STREET,R7-2, , , , , , , , , ,N,M9,8,0,P,CHURCH OF ST. ANTHONY,2475,12375,12375,0,0,0,0,0,0,12375,2,1,4,0,3,55,45,55,45, ,2,N,5,1,410400,1120050,0,0,1900,0,0,Sullivan-Thompson Historic District, ,5,3.44,0,6.5,1,1005170024,0,49,983972,204170,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,200.7431566,2495.082346,709650,9,0,2428,2428,11,2475,17.9011116,17.9011116,0,17.9011116,0,196.9122276 +2428,MN,283,4,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,113 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,"RSR HENRY ST., LLC",2188,8855,0,8855,0,0,0,0,0,0,2,1,5,22,22,25,87.5,25,74, ,3,N,5,2,88200,639900,0,0,1900,1984,0, , ,4.05,3.44,0,6.5,1,1002830004,0,6,986508,199203,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,236.7029477,2322.602515,551700,16,0,2429,2429,9,2025,32.40222168,36.95777893,4.555557251,32.90839471,1.431673522,296.1755524 +2429,MN,27,17,101,7,1020,2,1,10005,L015,1,15,7700,1,1,1B,67 WALL STREET,C5-5, , , , , ,LM, , , ,N,D5,3,0, ,"67 WALL STREET OWNER,",12127,303175,38772,264403,22550,10222,0,6000,0,0,2,1,25,317,323,144,145,143,140, ,2,Y,3,2,7200000,35277300,0,8768299,1921,2006,0, , ,25,10,15,15,1,1000270017,0,7,981921,196326,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,503.7601242,12917.19537,28077300,17,0,2430,2430,58,13050,14.10377789,18.15222168,4.048443794,15.70709212,0.461513416,911.011343 +2430,MN,135,21,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,90 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,S5,4,0, ,CHAMBERS FISH LLC,1877,8885,2175,6710,0,2175,0,0,0,0,2,1,5,5,6,25,75.08,25,75.08, ,0,Y,5,4,191280,946358,0,0,1915,0,0, , ,4.73,7.52,6,7.5,1,1001350021,0,21,982190,199578,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,204.1350681,1910.456817,755078,3,0,2431,2431,8,1800,32.66199875,32.66199875,0,32.66199875,0,261.29599 +2431,MN,742,58,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,336 WEST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"336 WEST 19TH REALTY,",2300,6546,0,6546,0,0,0,0,0,0,2,1,4,21,21,25,92,25,64,E,3,N,5,1,108450,838350,0,0,1910,2014,0, , ,2.85,3,0,3,1,1007420058,0,89,983710,210082,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,237.2849917,2341.056627,729900,7,0,2432,2432,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +2432,MN,355,67,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,157 SUFFOLK STREET,R7A, , , , , , , , , ,N,C1,2,0,P,157 SUFFOLK STREET JV,5000,22398,0,22398,0,0,0,0,0,0,2,1,6,35,35,50,100,50,66, ,3,N,5,2,315000,3555000,0,0,1900,2009,2011, , ,4.48,4,0,4,1,1003550067,0,3001,988304,201935,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,308.6948756,5270.549882,3240000,1,0,2433,2433,23,5175,23.94333458,26.65333366,2.709999084,24.06116063,0.552653148,553.4066944 +2433,MN,767,7502,104,81,2000,2,3,10011,L012,10,15,5600,1,4, ,257 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,257 WEST 17TH STREET,11688,73496,6997,66499,6997,0,0,0,0,0,2,1,10,31,32,127,92,127,73, ,0,N,0,5,905398,9408599,9440,9440,1907,0,0, , ,6.29,6.02,6,6.5,1,1007677502,943,81,984160,209448,8d, ,103 033,10304, ,1007670006,12/24/1996,1, , ,17V1.1,7,436.9655302,11676.06513,8503200,7,0,2434,2434,52,11700,21.88888931,21.88888931,0,21.88888931,0,1138.222244 +2434,MN,801,61,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,134 WEST 26 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,134 40 W 26 ST OWNRS,8023,95069,95069,0,0,7922,0,87147,0,0,2,1,12,0,26,81.25,98.75,81,99, ,3,N,5,2,1773000,6989850,0,0,1911,1989,0, , ,11.85,0,10,10,1,1008010061,0,91,986165,210795,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,358.0832892,7927.874328,5216850,2,0,2435,2435,34,7650,32.50999832,37.22222137,4.712223053,32.64859312,0.796166486,1110.052166 +2435,MN,898,7,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,205 EAST 17 STREET,R7B, , , , , , , , , ,N,C9,2,0, ,205 EAST 17TH STREET,2116,6932,500,6432,0,500,0,0,0,0,2,1,3,4,5,23,92,23,86,E,3,N,5,5,237954,505653,0,0,1920,1983,0,Stuyvesant Square Historic District, ,3.28,3,0,3,1,1008980007,0,48,988369,207116,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,242.6076621,2420.963552,267699,5,0,2436,2436,10,2250,22.7840004,28.4533329,5.669332504,24.13108921,2.127457472,241.3108921 +2436,MN,587,55,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,39 BARROW STREET,C2-6, , , , , , , , , ,N,A9,1,0, ,"MARDEN, JAMES P",980,2256,0,1692,0,0,0,0,0,0,2,1,3,1,1,21,40,21,25,E,3,Y,5,1,21770,100448,0,0,1910,2011,0,Greenwich Village Historic District, ,2.3,3.44,2,6.5,1,1005870055,0,67,983155,205991,12a, ,103 004,10208, ,1005870055,2/1/2007,1, , ,17V1.1,0,150.7718043,1061.547638,78678,9,0,2437,2437,5,1125,17.76222229,21.22999954,3.467777252,18.60053329,1.344284689,93.00266647 +2437,MN,923,17,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,325 EAST 17 STREET,R8A, , , , , , , , , ,N,B9,1,0, ,325 EAST 17TH STREET,1288,3164,0,3164,0,0,0,0,0,0,2,1,4,2,2,14,92,14,55, ,2,N,5,2,63858,124416,0,0,1901,0,0, , ,2.46,6,0,6,1,1009230017,0,48,989137,206691,12c, ,102 037,10309, ,0, ,1, , 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,17V1.1,0,199.7509284,1764.158258,171008,16,0,2465,2465,8,1800,16.23777771,17.94333267,1.705554962,17.07963896,0.426435317,136.6371117 +2465,MN,767,57,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,228 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,RHUMB W 18 LLC,4549,14220,3000,11220,0,3000,0,0,0,0,2,1,5,22,25,65.31,69.65,58,54, ,0,N,5,5,276300,2145600,0,0,1915,0,0, , ,3.13,6.02,6,6.5,1,1007670057,0,81,984424,209421,8d, ,103 033,10304, ,1007670056,12/9/1999,1, , ,17V1.1,0,273.3256426,4659.988929,1869300,7,0,2466,2466,22,4950,21.88888931,27.19666672,5.307777405,22.81031851,1.72643055,501.8270073 +2466,MN,489,18,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,196 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,LF EAST 21 PROPERTY C,3750,15839,1875,13964,0,1875,0,0,0,0,2,1,6,22,25,50,75,50,61, ,3,N,5,2,352350,3021300,0,0,1900,1987,0,Sullivan-Thompson Historic District, ,4.22,3.44,0,6.5,1,1004890018,0,47,983341,203406,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,264.5990552,4192.25796,2668950,0,1,2467,2467,19,4275,9.686666489,15.21688938,5.530222893,10.39470166,1.688203336,197.4993315 +2467,MN,206,19,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,121 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S5,4,0,P,"TOMA REALTY, LLC",2500,8985,1500,7485,0,1500,0,0,0,0,2,2,5,6,7,25,100,25,50, ,0,N,5,2,61095,187664,0,0,1900,0,0, , ,3.59,6.02,6,6.5,1,1002060019,0,41,984697,200827,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,255.9909922,2635.168349,126569,0,0,2468,2468,12,2700,25.95999908,25.95999908,0,25.95999908,0,311.519989 +2468,MN,833,22,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,31 WEST 31 STREET,C6-4,C6-6, , , , ,MID, , , ,Y,D4,3,0, ,HERALD SQUARE LOFT CO,3240,32032,3200,28832,0,3200,0,0,0,0,2,1,11,10,11,33.33,98.75,33,99,E,3,N,5,2,472500,3259800,2360,2360,1905,1987,0, , ,9.89,10,10,10,1,1008330022,0,76,987744,211571,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,269.9596296,3402.906947,2787300,10,0,2469,2469,15,3375,41.76111221,41.76111221,0,41.76111221,0,626.4166832 +2469,MN,494,31,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,217 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,HONGFORD RLTY CORP,2470,9250,1000,8250,0,1000,0,0,0,0,2,2,5,12,13,25,99,25,48, ,3,Y,5,2,149850,876600,0,705150,1900,0,0, , ,3.74,6.02,6,6.5,1,1004940031,0,43,985491,202386,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,251.537749,2508.60938,726750,0,0,2470,2470,11,2475,38.86500168,38.86500168,0,38.86500168,0,427.5150185 +2470,MN,298,7,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,26 ORCHARD STREET,C6-2, , , , , , , , , ,N,L8,6,0,P,MEITOV CORP,2233,6199,6199,0,0,2065,0,4134,0,0,2,1,3,0,2,25,89.33,25,89,E,2,N,5,2,115200,383850,0,0,1900,0,0, , ,2.78,6.02,6,6.5,1,1002980007,0,16,986652,199942,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,236.0029473,2372.141273,268650,13,0,2471,2471,11,2475,37.64699936,39.18222427,1.535224915,37.78656526,0.441346132,415.6522179 +2471,MN,507,34,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,258 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,BOWERY 260 OWNER LLC,3715,8015,8015,0,2220,3300,0,275,0,2220,2,1,3,2,5,37.83,89.25,37,89, ,3,Y,5,2,1115550,1131300,0,0,1920,0,0, , ,2.16,3.44,6,6.5,1,1005070034,0,43,986102,202777,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,277.3581552,3997.07998,15750,9,0,2472,2472,19,4275,44.71333313,46.68999863,1.976665497,44.81736816,0.441383235,851.529995 +2472,MN,848,7503,105,52,1001,2,2,10003,E014,13,15,5700,1,5, ,42 EAST 20 STREET,M1-5M,C6-4A, , , , , , , , ,Y,RM,4,0, , ,8096,62245,14030,48215,0,14030,0,0,0,0,2,1,9,22,23,88,92,88,88, ,3,N,5,5,1793249,10041751,4720,4720,1910,0,0,Ladies' Mile Historic District, ,7.69,0,5,6.5,1,1008487503,1324,52,987456,208289,8d, ,102 044,10306, ,1008480045,12/24/2003,1, , ,17V1.1,7,370.1252241,8544.064758,8248500,5,0,2473,2473,37,8325,35.19100189,37.29144669,2.100444794,35.30645226,0.428591776,1306.338734 +2473,MN,906,55,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,351 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,D6,4,0, ,CROWNHALL REALTY LLC,8242,37062,3750,33312,0,3750,0,0,0,0,2,1,5,45,50,74,110,74,110, ,2,N,3,2,783000,5798700,0,0,1920,1988,0, , ,4.5,10,2,10,1,1009060055,0,66,989363,209038,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,430.9758906,8976.161243,5015700,11,0,2474,2474,42,9450,30.40999985,37.55444336,7.144443512,31.21431201,2.09203341,1311.001104 +2474,MN,512,7502,102,49,1003,2,1,10012,L020,1,15,6800,1,2, ,599 BROADWAY,M1-5B, , , , , , , , , ,N,RC,5,0,P,STEVEN GILES,12263,99287,99287,0,82555,16732,0,0,0,0,2,1,12,0,14,52,200,50,200, ,0,N,5,5,2153250,18337495,0,0,1917,1983,0,SoHo-Cast Iron Historic District, ,8.1,0,5,6.5,1,1005127502,138,49,984971,203559,12c, ,101N072,10206, ,1005120011,11/29/1984,1, , ,17V1.1,7,520.4784712,10868.20905,16184200,9,0,2475,2475,49,11025,36.38299942,40.5177803,4.134780884,36.86579085,1.073710519,1806.423752 +2475,MN,899,21,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,237 EAST 18 STREET,R7B,R7-2, , , , , , , , ,Y,B9,1,0, ,"KEY BANK, NATIONAL AS",2258,4532,0,3234,0,0,0,0,0,0,2,1,3,2,2,22.58,100,22.58,44,E,3,N,5,1,55328,179158,0,0,1901,0,0, , ,2.01,3,0,3,1,1008990021,0,48,988786,207169,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,251.5726323,2335.221772,123830,5,0,2476,2476,9,2025,22.06299973,22.99888802,0.93588829,22.32282702,0.365337322,200.9054432 +2476,MN,582,1,102,67,4005,2,3,10014,E024,6,15,6400,1,2,1B,410 HUDSON STREET,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,71256,5000,5000,0,0,0,0,5000,0,0,2,1,1,0,1,208,341,100,50, ,0,Y,3,5,5040000,6098400,5040000,6098400,1930,0,0, , ,0.07,0,0,0,1,1005820001,0,67,982544,205162,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,1186.819582,72630.57424,1058400,9,0,2477,2477,322,72450,15.38333321,20.01000023,4.626667023,17.27797789,1.052433885,5563.50888 +2477,MN,615,66,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,22 JANE STREET,R6, , , , , , , , , ,N,A5,1,0, ,22 JANE STREET LLC,1716,2760,0,2760,0,0,0,0,0,0,2,1,2,1,1,24,70.33,24,70, ,3,Y,5,2,41160,252256,0,0,1910,1987,2009,Greenwich Village Historic District, ,1.61,2.43,0,4.8,1,1006150066,0,77,983381,208138,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,190.9568715,1691.916657,211096,8,0,2478,2478,10,2250,21.74111176,24.41111183,2.670000076,22.00811176,0.801000023,220.0811176 +2478,MN,162,34,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,13 CHATHAM SQUARE,C6-1G, , , , , ,TA, , , ,N,K4,4,0, ,SUN SHAN LEE REALTY I,1603,3680,1841,1839,0,1841,0,0,0,0,2,1,3,1,4,20.42,46.33,20,46, ,2,Y,3,2,120150,251550,0,0,1915,1961,0, , ,2.3,3.44,6,6.5,1,1001620034,0,29,984860,199444,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,140.9285876,1056.874592,131400,16,0,2479,2479,4,900,37.76955795,37.8030014,0.033443451,37.79464054,0.014481439,151.1785622 +2479,MN,452,48,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,219 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,K&T REALTY ASSOCIATES,2369,10500,1750,8750,0,1750,0,0,0,0,2,1,6,21,23,25,94.75,25,81, ,3,N,5,2,246150,1149300,0,0,1900,0,0, , ,4.43,4,0,4,1,1004520048,0,40,988237,205058,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,252.1566766,2578.309688,903150,12,0,2480,2480,12,2700,22.86222267,28.60222244,5.739999771,24.06759294,2.112958229,288.8111153 +2480,MN,887,14,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,121 EAST 31 STREET,C4-5A, , , , , , , , , ,N,D3,3,0,P,125 E 31 ST REALTY,7989,58321,0,58321,0,0,0,0,0,0,2,1,12,96,96,79.33,98.75,79,78, ,3,Y,5,2,1386000,6262650,0,0,1930,1988,0, , ,7.3,4,4,4,1,1008870014,0,72,989364,210673,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,375.315833,8476.851912,4876650,10,0,2481,2481,38,8550,29.31800079,31.55555534,2.23755455,29.37688381,0.358171394,1116.321585 +2481,MN,190,7508,101,33,3013,2,1,10013,E007,1,15,7700,3,1, ,240 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,4307,21741,0,21741,0,0,0,0,0,0,2,1,11,6,6,52.92,78,0,0, ,0,Y,0,5,78380,950255,0,408846,2008,0,0, , ,5.05,6.02,6,6.5,1,1001907508,2289,33,982556,201553,12a, ,101N041,10105, ,1001900044,2/22/2012,1, ,1,17V1.1,7,274.1163036,4421.585016,871875,14,1,2482,2482,20,4500,9.793333054,9.793333054,0,9.793333054,0,195.8666611 +2482,MN,394,5,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,183 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S5,4,0,P,183 AVE B ASSOCIATES,1779,3713,800,2913,800,0,0,0,0,0,2,1,4,5,6,17.17,93,17,46, ,3,Y,5,5,8022,31274,0,0,1910,1986,0, , ,2.09,4,0,4,1,1003940005,0,28,990069,204382,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,241.2511404,1858.981258,23252,12,1,2483,2483,7,1575,9.237999916,9.866666794,0.628666878,9.341714314,0.21538138,65.3920002 +2483,MN,438,13,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,410 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0,O,FABRIA HOUSES ASSOCIA,2369,7545,0,7545,0,0,0,0,0,0,2,1,6,11,11,25,94.75,25,60, ,3,N,5,1,180000,354150,180000,354150,1920,1987,2007, , ,3.18,4,0,4,1,1004380013,0,34,988848,204832,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,248.2242151,2524.123959,174150,12,0,2484,2484,12,2700,18.5909996,20.95777702,2.36677742,19.24450874,0.948561142,230.9341049 +2484,MN,144,20,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,44 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,O8,5,0,P,44 HUDSON REALTY LLC,2236,12900,9003,3897,6752,2251,0,0,0,0,2,1,5,3,7,25.5,97.23,25,98, ,3,Y,5,2,139500,1564650,0,0,1910,1997,2004,Tribeca West Historic District, ,5.77,6.02,6,6.5,1,1001440020,0,33,981825,200593,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,237.8241733,2367.835214,1425150,14,0,2485,2485,11,2475,11.09777832,11.09777832,0,11.09777832,0,122.0755615 +2485,MN,372,6,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,24 AVENUE C,R7A,R8A, , ,C2-5, , , , , ,Y,C4,2,0,P,OCASIO REALTY LLC,2325,5381,1200,4181,0,1200,0,0,0,0,2,1,4,6,7,25,93,24,50, ,2,N,5,2,16174,65120,0,0,1900,2005,0, , ,2.31,4,0,4,1,1003720006,0,2202,989626,202053,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,245.3673473,2479.953492,48946,1,0,2486,2486,12,2700,13.80700016,17.02777672,3.220776558,14.36821302,1.121309358,172.4185562 +2486,MN,285,16,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,219 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,201 CLINTON ST RLTYIN,2115,10129,2000,8129,0,2000,0,0,0,0,2,1,6,10,15,24.17,87.5,24,87,E,3,N,3,2,90450,718200,0,0,1910,0,0, , ,4.79,3.44,0,6.5,1,1002850016,0,6,987773,199430,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,234.2947829,2317.070516,627750,13,0,2487,2487,10,2250,23.9640007,29.66489029,5.700889587,25.19546738,2.11939303,251.9546738 +2487,MN,871,52,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,136 EAST 16 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,136 EAST 16TH ST LLC,2788,7542,0,7542,0,0,0,0,0,0,2,1,4,8,8,27,103.25,27,82, ,3,N,5,1,126178,592187,0,0,1900,0,0, , ,2.71,4,0,4,1,1008710052,0,50,987809,206972,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,270.7894522,2975.792972,466009,5,0,2488,2488,13,2925,33.78900146,34.9066658,1.117664337,33.87497564,0.297823295,440.3746834 +2488,MN,771,23,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,223 WEST 21 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,22321 OWNERS CORP,12497,46620,450,46170,0,0,0,0,0,450,2,2,6,63,64,125,98.75,63,85, ,3,Y,5,2,981000,4243950,103513,103513,1889,1985,0, , ,3.73,4,0,4,1,1007710023,0,87,984874,210172,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,455.9817323,12675.93308,3262950,7,0,2489,2489,56,12600,22.40399933,26.13666725,3.732667923,22.94599945,1.182306893,1284.975969 +2489,MN,344,147,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,40 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,40 CLINTON LLC,2500,9965,1200,8765,0,1200,0,0,0,0,2,1,5,22,24,25,100,25,86, ,2,N,5,2,450000,2207700,0,0,1920,1986,0, , ,3.99,4,0,4,1,1003440147,0,2201,988570,201521,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,257.8014867,2649.772694,1757700,1,0,2490,2490,11,2475,23.20000076,23.22555542,0.025554657,23.20232391,0.007346447,255.225563 +2490,MN,911,64,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,443 3 AVENUE,C1-9,R7B, , , , , , , , ,Y,D6,4,0, ,"HALSEY, CYNTHIA B",8050,64245,3100,61145,0,3100,0,0,0,0,2,2,19,70,73,59.75,120,60,118, ,3,Y,5,2,1201500,7344450,0,0,1980,0,0, , ,7.98,10,2,10,1,1009110064,0,70,989989,210148,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,453.3119007,8549.585992,6142950,10,0,2491,2491,39,8775,29.22888947,31.60111046,2.372220993,29.68835938,0.850713644,1157.846016 +2491,MN,805,7,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,155 WEST 29 STREET,M1-6, , , , , , , , , ,N,L8,6,0,P,"GARFINKEL, PEARL",10650,32112,32112,0,0,15115,0,0,0,16997,2,2,3,0,23,113,114,113,114, ,3,Y,5,2,1395000,3795300,0,0,1930,0,0, , ,3.02,0,10,10,1,1008050007,0,95,986451,211702,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,445.2078306,11472.22529,2400300,6,0,2492,2492,50,11250,34.63499832,35.0055542,0.370555878,34.64240944,0.051877823,1732.120472 +2492,MN,816,78,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,546 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,D0,3,0, ,W 15 ST OWNERS INC,4000,22000,3000,19000,0,3000,0,0,0,0,2,1,6,12,13,50,80,50,80, ,3,N,3,2,364050,2130300,11800,11800,1920,1977,0, , ,5.5,6.02,6,6.5,1,1008160078,0,54,985315,208077,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,269.8147856,4336.835118,1766250,7,0,2493,2493,19,4275,28.19599915,29.61555481,1.419555664,28.3792039,0.427959689,539.204874 +2493,MN,454,36,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,215 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,V R V CORP,2723,13550,2710,10840,0,2710,0,0,0,0,2,2,5,16,18,31.67,86,32,63, ,3,N,3,2,214200,1404450,0,0,1900,1988,0, , ,4.98,4,0,4,1,1004540036,0,40,988838,205482,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,246.6500316,3080.684172,1190250,12,0,2494,2494,14,3150,22.37666702,23.87666702,1.5,22.61931774,0.481130178,316.6704483 +2494,MN,625,42,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,15 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,15 8TH AVE LLC,840,2390,797,1593,0,797,0,0,0,0,2,1,3,1,2,20,50.33,20,40, ,3,Y,5,5,39337,98482,0,0,1920,2015,0,Greenwich Village Historic District, ,2.85,3.44,2,6.5,1,1006250042,0,77,982904,208066,12a,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,135.0014532,910.1134151,59145,8,0,2495,2495,4,900,17.76333427,17.76333427,0,17.76333427,0,71.0533371 +2495,MN,475,7505,102,47,2010,2,1,10013,E055,1,15,6800,1,2, ,42 WOOSTER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,12100,69337,19551,49786,0,19551,0,0,0,0,2,2,8,14,15,121.8,100,0,0, ,0,N,0,5,884249,6607799,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,5.73,0,5,6.5,1,1004757505,1010,47,983603,202458,12a, ,11N 070,10206, ,1004750035,4/7/1998,1,1,1,17V1.1,7,476.0912018,12300.82697,5723550,0,1,2496,2496,54,12150,9.686666489,12.18444443,2.497777939,9.796316712,0.44881861,529.0011024 +2496,MN,283,77,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,143 DIVISION STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,DA ZHANG CORP,1530,6150,1200,4950,0,1200,0,0,0,0,2,1,5,8,10,25.83,61.58,25,50, ,3,Y,5,2,127920,339106,0,0,1910,1958,0, , ,4.02,6.02,6,6.5,1,1002830077,0,6,986802,199538,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,182.3393438,1712.331,211186,13,0,2497,2497,8,1800,32.80699921,32.80699921,0,32.80699921,0,262.4559937 +2497,MN,485,18,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,114 SPRING STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,SPRING STREET STUDIO,2227,14813,2230,12583,0,2230,0,0,0,0,2,1,7,6,7,29.33,76.08,29,76, ,3,N,5,2,410272,1007731,2360,2360,1920,1982,0,SoHo-Cast Iron Historic District, ,6.65,0,5,6.5,1,1004850018,0,49,984231,202847,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,215.2112946,2212.245206,597459,0,0,2498,2498,9,2025,17.71444511,25.63444328,7.919998169,18.63921038,2.476376688,167.7528934 +2498,MN,625,52,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,24 8 AVENUE,C1-6, , , , , , , , , ,N,S9,4,0, ,26 EIGHTH LLC,1540,3998,1947,2051,0,1947,0,0,0,0,2,2,3,4,6,55.08,37,30,36, ,3,Y,5,5,242927,462688,0,0,1920,1986,0,Greenwich Village Historic District, ,2.6,3.44,2,6.5,1,1006250052,0,77,983041,208046,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,182.4308291,1585.613405,219761,8,0,2499,2499,6,1350,20.9066658,22.26666641,1.36000061,21.13333257,0.506842302,126.7999954 +2499,MN,906,36,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,240 EAST 26 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,240 E 26TH OWNERS COR,1975,5200,650,4550,650,0,0,0,0,0,2,2,4,8,9,20,98.75,20,99,E,3,N,5,2,78668,477750,0,0,1930,1978,0, , ,2.63,4,0,4,1,1009060036,0,66,989748,208812,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,245.4389983,2053.328077,399082,11,0,2500,2500,9,2025,30.96199989,35.72888947,4.766889572,32.58175299,2.008522834,293.2357769 +2500,MN,451,41,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,341 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,341 EAST 9TH REALTY L,2306,6285,1257,5028,0,1257,0,0,0,0,2,1,5,14,16,25,92.25,25,48, ,3,N,5,2,189900,1017450,0,0,1900,0,0, , ,2.73,4,0,4,1,1004510041,0,40,988313,204733,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,244.1946508,2477.2156,827550,12,0,2501,2501,12,2700,23.10400009,26.17888832,3.074888229,24.1387407,1.232244672,289.6648884 +2501,MN,907,102,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,205 EAST 26 STREET,C2-8, , , , , , , , , ,N,K2,5,0, ,ABRAHAM NIR,460,1350,1350,0,0,1350,0,0,0,0,2,1,2,0,3,18.67,24.67,18.67,24.67, ,0,N,5,1,62100,242550,0,0,1910,0,0, , ,2.93,10,2,10,1,1009070102,0,66,989434,209121,8d, ,104 008,10308, ,1009070101,12/18/1986,1, , ,17V1.1,0,94.10553144,541.1697044,180450,11,0,2502,2502,2,450,35.85699844,35.85699844,0,35.85699844,0,71.71399689 +2502,MN,618,53,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,227 WEST 13 STREET,R6, , , , , , , , , ,N,W8,8,0, ,INTEGRAL YOGA INSTTT,3267,18600,18600,0,18600,0,0,0,0,0,2,1,6,1,5,40,81.67,40,77.5, ,3,N,5,2,492300,1779300,113848,508244,1940,1987,0,Greenwich Village Historic District, ,5.69,2.43,0,4.8,1,1006180053,0,77,983865,208366,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,246.8056419,3404.963625,1287000,8,0,2503,2503,16,3600,22.30444527,22.30444527,0,22.30444527,0,356.8711243 +2503,MN,615,98,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,277 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,GREENE EDGAR,607,3160,0,3160,0,0,0,0,0,0,2,1,5,1,1,19.58,31,19.58,31, ,3,Y,5,0,122497,282499,0,0,1915,0,0,Greenwich Village Historic District, ,5.21,2.43,0,4.8,1,1006150098,0,77,983250,208034,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,109.9353619,691.9874474,160002,8,0,2504,2504,4,900,21.74111176,21.74111176,0,21.74111176,0,86.96444702 +2504,MN,281,42,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,45 DIVISION STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,J K D REALTY CORP,1746,4050,4050,0,2700,1350,0,0,0,0,2,1,3,0,5,25.42,68.67,25,68, ,3,Y,5,2,99000,527400,0,0,1900,1979,0, , ,2.32,3.44,6,6.5,1,1002810042,0,8,985538,199413,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,191.976691,1770.591408,428400,16,0,2505,2505,7,1575,35.10200119,35.10200119,0,35.10200119,0,245.7140083 +2505,MN,69,18,101,15.02,2007,2,1,10038,E004,1,15,7700,1,1, ,2 GOLD STREET,C5-5, , , , , ,LM, , , ,N,D8,3,0,P,2 GOLD LLC,24128,627330,28964,598366,0,9407,19557,0,0,0,2,2,51,650,652,242,104,80,195, ,0,Y,3,5,5535000,78205050,1440000,74110050,2003,0,0, , ,26,10,15,15,1,1000690018,0,1502,982328,197005,12b, ,11S 012,10102, ,1000691002,3/31/2005,1,1,1,17V1.1,0,757.413482,25226.47945,72670000,4,1,2506,2506,114,25650,8.503000259,15.23999977,6.736999512,10.10705862,2.156919246,1152.204682 +2506,MN,479,9,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,196 MOTT STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,MAY LEUN REALTY CORP,4681,17635,1175,16460,0,1175,0,0,0,0,2,1,6,37,39,49.92,93.67,49,78, ,3,Y,5,2,172800,812250,0,0,1900,0,0, , ,3.77,3.44,6,6.5,1,1004790009,0,41,985521,201989,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,296.189844,4943.666823,639450,0,0,2507,2507,23,5175,38.05444717,40.86444473,2.809997559,38.17662098,0.573045949,878.0622826 +2507,MN,239,18,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1A,229 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C6,2,0, ,GRAND DESIGN OWNERS I,1325,5949,1325,4624,0,1325,0,0,0,0,2,1,5,4,6,24,55.5,74,56,E,3,Y,5,2,73483,463993,0,0,1910,1983,0, , ,4.49,6.02,6,6.5,1,1002390018,0,41,985522,201044,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,169.7702934,1480.492991,390510,0,0,2508,2508,7,1575,31.48699951,32.71888733,1.231887817,31.66298349,0.431070939,221.6408844 +2508,MN,619,50,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,329 BLEECKER STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,CHRISTOPHER BLEECKER,1320,3705,800,2905,0,800,0,0,0,0,2,2,3,4,6,60.75,16.17,59,22,E,2,Y,3,5,115580,313784,0,0,1905,1985,0,Greenwich Village Historic District, ,2.81,3.44,2,6.5,1,1006190050,0,73,983087,206529,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,164.3925768,1282.109018,198204,9,0,2509,2509,6,1350,23.46111107,23.46111107,0,23.46111107,0,140.7666664 +2509,MN,206,34,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,219 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,"219 CANAL STREET, LLC",818,4090,4090,0,0,4090,0,0,0,0,2,1,5,0,2,20.25,38.83,20,45,E,3,Y,3,2,198000,972450,0,0,1910,0,0, , ,5,3.44,6,6.5,1,1002060034,0,41,984497,200743,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,129.8458114,912.94836,774450,14,0,2510,2510,5,1125,25.95999908,25.95999908,0,25.95999908,0,129.7999954 +2510,MN,593,12,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,8 CHRISTOPHER STREET,R6,C4-5, , , , ,LC, , , ,Y,S2,4,0,P,CS 8,1861,4755,951,3804,0,0,0,0,0,951,2,1,3,2,3,21,88.67,21,60, ,3,Y,5,5,81584,167205,0,0,1910,2005,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1005930012,0,71,984225,206630,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,219.7256711,2035.829425,85621,8,0,2511,2511,9,2025,17.50333405,19.35666656,1.85333252,17.70925988,0.582446219,159.3833389 +2511,MN,779,7502,105,95,2000,2,3,10001,L024,14,15,5200,1,5, ,215 WEST 29 STREET,M1-6D, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2271,14100,3000,11100,0,3000,0,0,0,0,2,1,7,6,7,23,98.75,0,0, ,0,N,5,5,49753,675865,0,0,1921,0,0, , ,6.21,10,10,10,1,1007797502,504,95,986049,211921,8d, ,105S021,10304, ,1007790030,3/18/1988,1, , 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,1,1,1,17V1.1,0,3604.422952,423454.2621,3501000,13,1,2516,2516,1836,413100,0,25.31999969,25.31999969,10.51460114,3.749781183,19304.80769 +2516,MN,803,29,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,109 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,109 WEST 27TH STREET,3950,43968,43968,0,41468,2500,0,0,0,0,2,1,11,0,24,40,98.75,40,99, ,0,N,5,5,616500,3277800,0,0,1908,0,0, , ,11.13,0,10,10,1,1008030029,0,95,986607,211024,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,283.4167764,4034.411548,2661300,2,0,2517,2517,19,4275,36.93999863,38.15499878,1.215000153,37.20794658,0.228937174,706.950985 +2517,MN,861,57,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,147 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,149 MADISON AVENUE,6918,119006,119006,0,110872,8134,0,0,0,0,2,1,12,0,49,49.42,140,50,134, ,2,N,3,2,3667500,8803800,0,0,1917,1988,0, , ,17.2,10,10,10,1,1008610057,0,74,988816,211107,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,497.7294669,9861.936878,5136300,10,0,2518,2518,43,9675,37.62444687,41.21333313,3.588886261,38.21358588,1.165358926,1643.184193 +2518,MN,584,24,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,46 COMMERCE STREET,R6, , , , , , , , , ,N,C6,2,0, ,46 COMMERCE ST OWNERS,779,3000,0,3000,0,0,0,0,0,0,2,1,3.5,5,5,6.67,33.75,34,31, ,3,Y,8,2,89270,303364,0,0,1900,0,0,Greenwich Village Historic District, ,3.85,2.43,0,4.8,1,1005840024,0,67,982695,205689,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,137.2836088,899.0506014,214094,9,0,2519,2519,3,675,16.16111183,16.16111183,0,16.16111183,0,48.4833355 +2519,MN,609,41,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,519 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,K1,5,0, ,100-106 LLC,2480,2400,2400,0,0,2400,0,0,0,0,2,1,1,0,1,40,62,40,60, ,2,N,5,2,252450,862650,0,0,1940,1986,0, , ,0.97,7.52,6,7.5,1,1006090041,0,71,984992,207841,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,209.6333298,2588.205221,610200,8,0,2520,2520,12,2700,25.65555573,27.76222229,2.106666565,25.83111127,0.58225188,309.9733353 +2520,MN,924,6,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,303 EAST 18 STREET,R9A, , , , , , , , , ,N,B9,1,0, ,JOSEPHINE KUO,1080,3100,0,2325,0,0,0,0,0,0,2,1,3,2,2,20,54,20,39, ,2,N,5,1,118086,214272,0,0,1910,1984,0, , ,2.87,7.52,0,7.52,1,1009240006,0,48,989058,206991,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,157.5030648,1215.368894,96186,5,0,2521,2521,6,1350,14.83555603,18.90211105,4.066555023,16.40616703,1.645000455,98.43700218 +2521,MN,448,42,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,323 EAST 6 STREET,R8B, , , , , , , , , ,N,M1,8,0, ,COMMUNITY SYNOG CENTE,6813,4719,4719,0,0,0,0,0,0,4719,2,1,1,0,1,75,90.83,65,84, ,2,N,5,2,351450,648900,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,0.69,4,0,4,1,1004480042,0,38,987800,204166,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,336.707277,6989.428076,297450,1,0,2522,2522,31,6975,27.1590004,29.10333252,1.944332123,27.23877458,0.352988859,844.4020119 +2522,MN,801,51,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,114 WEST 26 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,DEAN COLIN PROPERTIE,8465,97005,97005,0,93005,4000,0,0,0,0,2,1,12,0,9,85.67,98.75,86,99, ,3,N,5,1,1440000,10161000,0,0,1911,1988,2000, , ,11.46,0,10,10,1,1008010051,0,91,986358,210688,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,369.1419174,8474.05453,8721000,2,0,2523,2523,38,8550,32.50999832,39.00666809,6.496669769,32.9032382,1.396675753,1250.323051 +2523,MN,883,50,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,388 3 AVENUE,C2-8, , , , , , , , , ,N,S9,4,0, ,JALIEN RTY CORP,1540,4875,2144,2731,0,985,0,0,0,1159,2,1,4,4,6,24.67,64.5,25,46, ,3,N,5,5,163956,544547,0,0,1910,0,0, , ,3.17,10,2,10,1,1008830050,0,68,989451,209578,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,187.5690722,1759.235797,380591,11,0,2524,2524,7,1575,33.40789032,39.24933243,5.841442108,34.24238205,2.044078932,239.6966743 +2524,MN,256,14,103,6,5001,1,1,10002,E015,7,14,7800,1,3,1B,272 CHERRY STREET,R7-2, , , , , , , , , ,N,D9,3,0,O,NYC CITY HSG AUTRHORI,15115,101786,0,101786,0,0,0,0,0,0,2,1,16,150,150,104.67,210.42,30,159, ,1,Y,3,0,549000,10019250,549000,10019250,1965,0,0, , ,6.73,3.44,0,6.5,1,1002560014,0,6,987414,198551,12d, ,101N055,10106, ,0, ,1, ,1,17V1.1,0,635.265266,14697.32857,9470250,16,1,2525,2525,64,14400,10.34666634,15.01333332,4.666666985,13.1596007,1.145831841,842.2144451 +2525,MN,438,21,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,426 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0,O,FABRIA HOUSES ASSOCIA,2369,8325,0,8325,0,0,0,0,0,0,2,1,6,17,17,25,94.75,25,54, ,3,N,5,2,135000,388350,135000,388350,1920,1983,2007, , ,3.51,4,0,4,1,1004380021,0,34,989022,204735,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.7165095,2450.05546,253350,12,0,2526,2526,10,2250,17.63888931,19.03666687,1.397777557,18.13722248,0.614477263,181.3722248 +2526,MN,377,72,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,106 AVENUE C,R7A, , , ,C1-5, , , , , ,N,B9,1,0,P,CATHERINE KORD,1718,5154,0,5154,0,0,0,0,0,0,2,1,3,2,2,48.75,35.25,48.9,35.3, ,3,N,3,2,20079,47277,0,0,1901,0,0, ,PUBLIC NATIONAL BANK OF NEW YORK BU,3,4,0,4,1,1003770072,0,2602,990183,203098,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,179.6871323,1975.054863,27198,12,1,2527,2527,8,1800,7.409999847,8.715556145,1.305556297,7.573194385,0.431772161,60.58555508 +2527,MN,414,1,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,134 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,134 ELDRIDGE STREET H,2185,8070,1200,6870,0,1200,0,0,0,0,2,1,5,8,10,24.83,88,25,64, ,2,N,5,2,41875,133727,33036,33036,1900,1985,0, , ,3.69,4,4,4,1,1004140001,0,18,986651,201179,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.4054831,2327.481261,91852,13,0,2528,2528,10,2250,37.8544426,41.60577774,3.751335144,41.01082306,1.055311397,410.1082306 +2528,MN,477,68,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,52 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,H3,5,0,P,SOHO 54 LLC.,5432,54375,0,0,0,0,0,0,0,0,2,1,18,0,1,62.4,87,62,87, ,0,Y,5,5,3865500,16310700,0,0,2006,0,0, , ,10.01,0,10,10,1,1004770068,0,37,982795,203010,12a, ,101N067,10206, ,1004770068,10/28/2008,1, , ,17V1.1,0,300.2427696,5474.702326,12445200,0,0,2529,2529,24,5400,12.61466694,13.10333347,0.488666534,12.81461573,0.098992521,307.5507774 +2529,MN,732,25,104,111,2005,2,3,10001,L021,10,15,5500,1,4,2B,413 WEST 34 STREET,C6-4,R8A, , ,C2-5, ,HY, , , ,Y,N2,8,0,P,THE WEBSTER APTS,19225,122073,122073,0,0,0,0,0,0,122073,2,1,13,0,390,119.58,197.5,118,116, ,1,Y,4,2,2178000,6894000,2178000,6894000,1922,0,0, , ,6.35,10,10,10,1,1007320025,0,111,985051,214027,8d, ,105S029,10302, ,0, ,1, , ,17V1.1,0,664.8545663,20413.19604,4716000,6,0,2530,2530,86,19350,45.70000076,50.51333237,4.813331604,46.18111424,0.911196918,3971.575825 +2530,MN,458,6,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,339 BOWERY,C6-1,R8B, , , , , , , , ,Y,H2,5,0,P,WOODCUTTERS REALTY CO,12204,90411,0,6764,0,0,0,0,0,0,2,1,16,3,4,102.67,139.67,102.67,139.67, ,0,Y,3,5,4275000,27441450,0,0,2003,0,0, , ,7.41,3.44,6,6.5,1,1004580006,0,3602,986613,203786,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,454.4916727,12452.51776,23166500,1,0,2531,2531,55,12375,39.7840004,43.03111267,3.247112274,39.97650133,0.695726248,2198.707573 +2531,MN,613,20,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,230 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,VICKI LYNN BEEN,2363,4400,0,3300,0,0,0,0,0,0,2,1,3,1,1,25,69.17,24,44, ,3,N,5,1,48758,243667,0,0,1915,1986,1996,Greenwich Village Historic District, ,1.86,2.43,0,4.8,1,1006130020,0,73,983543,207466,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,243.833969,2421.987848,194909,8,0,2532,2532,11,2475,25.34199905,27.3164444,1.974445343,26.08658548,0.839225207,286.9524403 +2532,MN,489,14,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,83 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"KOEGEL, LESLEY B.",2500,3590,0,2660,0,0,0,0,0,0,2,1,3,3,3,25,100,25,35,E,2,N,5,1,15390,79752,0,0,1901,0,0,Sullivan-Thompson Historic District,83 SULLIVAN STREET,1.44,3.44,0,6.5,1,1004890014,0,47,983285,203321,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,257.805527,2603.023675,64362,0,1,2533,2533,11,2475,9.686666489,15.84111118,6.154444695,12.29109088,2.764024449,135.2019997 +2533,MN,576,48,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,11 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0,P,11 WEST 12 REALTY LLC,2581,8125,0,6500,0,0,0,0,0,0,2,1,6,1,1,25,103.25,25,48,E,3,N,5,1,154851,369266,0,0,1910,0,0,Greenwich Village Historic District, ,3.15,2.43,0,4.8,1,1005760048,0,63,985623,207100,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,263.8285932,2720.440728,214415,8,0,2534,2534,13,2925,23.70299912,25.04999924,1.347000122,23.89053844,0.414620131,310.5769997 +2534,MN,390,64,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,187 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"CHANG, MUN",1642,5220,800,4420,0,800,0,0,0,0,2,1,5,8,10,30,54.75,30,36, ,3,Y,5,0,8462,48626,0,0,1910,1959,0, , ,3.18,4,0,4,1,1003900064,0,2602,989630,203405,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,167.0388866,1586.257849,40164,12,1,2535,2535,6,1350,9.445555687,10.31677818,0.871222496,9.590759436,0.324685454,57.54455662 +2535,MN,720,12,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,471 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,469 WEST 22ND STREET,3292,9000,0,9000,0,0,0,0,0,0,2,1,5,6,6,33.33,98.75,17,54, ,3,N,5,2,64776,705575,2360,2360,1900,2009,2000,Chelsea Historic District Extension, ,2.73,3,0,3,1,1007200012,0,93,983211,211391,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,254.6761261,3118.863582,640799,2,1,2536,2536,14,3150,9.369999886,10.46555519,1.095555305,9.448253836,0.282148631,132.2755537 +2536,MN,451,40,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,343 EAST 9 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,SANICOLA I FAMILY LIM,1081,5000,0,5000,0,0,0,0,0,0,2,1,4,5,5,25,43.25,25,38, ,3,Y,5,5,196494,266983,0,0,1900,1988,0, , ,4.63,4,0,4,1,1004510040,0,40,988323,204697,12c, ,102 019,10205, ,1004510040,1/7/1988,1, , ,17V1.1,0,136.1241625,1080.086456,70489,12,0,2537,2537,5,1125,23.10400009,23.10400009,0,23.10400009,0,115.5200005 +2537,MN,230,42,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,5 MERCER STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,"5 MERCER BORROWER, LL",5000,21310,4200,17110,0,4200,0,0,0,0,2,1,5,9,11,50,100,50,100,E,3,N,5,2,330750,4394250,0,0,1910,1987,0,SoHo-Cast Iron Historic District, ,4.26,0,5,6.5,1,1002300042,0,47,983571,201754,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,307.0658622,5141.736303,4063500,0,1,2538,2538,24,5400,11.39777756,11.39777756,0,11.39777756,0,273.5466614 +2538,MN,636,38,102,75,1006,2,3,10014,L005,6,15,6400,1,2,2B,181 CHRISTOPHER STREET,C1-6A, , , , , , , , , ,N,B9,1,0, ,WINTERMEYER LOUIS,1472,3726,0,3726,0,0,0,0,0,0,2,2,3,2,2,23.5,63.67,23.5,56,E,3,Y,5,2,82705,205028,0,0,1899,0,0, , ,2.53,4,2,4,1,1006360038,0,75,981600,206228,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,179.8784917,1555.586226,122323,9,1,2539,2539,7,1575,10.4289999,10.4289999,0,10.4289999,0,73.00299931 +2539,MN,379,12,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,406 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0,C,NYC HPD,3691,14653,1500,13153,0,1500,0,0,0,0,2,1,6,22,24,40,92.25,40,78, ,3,N,5,2,225000,1538100,225000,1538100,1930,1987,0, , ,3.97,4,0,4,1,1003790012,0,28,990604,203572,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,268.9022483,3783.446387,1313100,12,1,2540,2540,17,3825,7.409999847,8.17777729,0.767777443,7.455163226,0.180653516,126.7377748 +2540,MN,473,7503,102,45,1004,2,1,10013,E055,5,15,6800,1,2, ,425 BROOME STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5970,38090,9972,28118,0,7557,2415,0,0,0,2,1,7,13,14,50,119.08,50,118,EG,2,Y,3,5,540002,4392451,4720,4720,1874,1986,2005,SoHo-Cast Iron Historic District Extensi, ,6.38,0,5,6.5,1,1004737503,1663,45,984510,202008,12c, ,101N073,10206, ,1004730033,3/22/2007,1, , ,17V1.1,7,354.5962189,6561.749455,3852450,0,0,2541,2541,29,6525,26.17399979,29.83222198,3.658222198,26.79293475,1.094578192,776.9951077 +2541,MN,619,7501,102,73,2000,2,3,10014,L005,6,15,6400,2,2, ,115 CHRISTOPHER STREET,R6, , , , , , , , , ,N,RM,4,0,P,CHRISTOPHER HOUSE,2288,12678,4328,8350,2038,2290,0,0,0,0,2,1,7,5,7,25.17,91.5,0,0, ,0,N,5,5,138231,1121629,4720,4720,1904,0,0,Greenwich Village Historic District, ,5.54,2.43,0,4.8,1,1006197501,209,73,982743,206476,12a, ,103 012,10210, ,1006190043,12/3/1985,1, , ,17V1.1,7,245.2610007,2440.847392,983398,9,0,2542,2542,11,2475,20.56999969,20.56999969,0,20.56999969,0,226.2699966 +2542,MN,239,9,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,86 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,L9,6,0, ,LAP REALTY CORP,2250,9433,9433,0,6000,2100,0,1333,0,0,2,1,5,0,1,24.75,89.92,24.75,89.92, ,0,Y,5,5,106200,814050,0,0,1900,0,0, , ,4.19,6.02,6,6.5,1,1002390009,0,41,985429,200902,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,235.519393,2329.748766,707850,0,0,2543,2543,9,2025,31.48699951,31.48699951,0,31.48699951,0,283.3829956 +2543,MN,133,7511,101,21,1005,2,1,10007,L010,1,15,7700, ,1, ,37 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,5043,41533,4219,37314,0,0,0,0,0,4219,2,1,11,17,18,50.17,100,50,100, ,3,N,0,5,1316250,7866902,0,0,1931,0,0, , ,8.24,7.52,6,7.5,1,1001337511,2396,21,981823,199504,12b, ,101S017,10104, ,1001330029,8/27/2013,1, , ,17V1.1,7,307.6028481,5201.108497,6550650,3,0,2544,2544,24,5400,25.60300064,30.06222153,4.459220886,25.92470892,1.080893469,622.1930141 +2544,MN,409,3,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,98 ORCHARD STREET,C6-2A,C4-4A, , , , , , , , ,Y,C7,4,0, ,98 ORCHARD STREET REA,2255,9750,1400,8350,0,1400,0,0,0,0,2,1,5,15,16,25.5,88.42,26,75, ,3,N,5,2,450000,1576350,0,0,1900,1996,0, , ,4.32,6.02,6,6.5,1,1004090003,0,18,987085,201048,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,236.8931139,2446.550468,1126350,13,0,2545,2545,12,2700,35.36399841,36.96266556,1.598667145,35.49722068,0.441848257,425.9666481 +2545,MN,641,17,102,79,2000,2,3,10014,L005,6,15,6100,1,2,3B,100 JANE STREET,C1-7A,C1-6A, , , , , , , , ,Y,D3,3,0, ,100 JANE STREET L P C,17635,123646,0,123646,0,0,0,0,0,0,2,1,9,148,148,160.33,110,160,110, ,0,Y,3,5,3888000,17803350,0,0,1996,0,0, , ,7.01,6.02,2,6.5,1,1006410017,0,79,981900,208099,8b,Y,103 014,10210,E-4,1006410017,12/24/1991,1, ,1,17V1.1,0,542.4615897,17340.82398,13915400,8,1,2546,2546,76,17100,7.992000103,9.710000038,1.717999935,8.085549806,0.318938166,614.5017853 +2546,MN,476,88,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,38 GRAND STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,46 N LLC,1892,8045,1609,6436,0,1609,0,0,0,0,2,1,5,16,17,37.83,47.5,38,38, ,3,N,5,2,135000,1039050,0,0,1900,1987,2013, , ,4.25,0,5,6.5,1,1004760088,0,47,983096,202590,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,203.8232825,1812.032716,904050,0,1,2547,2547,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +2547,MN,460,26,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,230 EAST 5 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,KATHRYN FELDMAN,1939,2832,0,2832,0,0,0,0,0,0,2,1,3,3,3,21,92.33,20.83,42, ,3,N,3,2,9222,38019,1550,1550,1901,0,0,East Village/Lower East Side Historic Di, ,1.46,4,0,4,1,1004600026,0,38,987017,204140,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,229.941078,1973.606653,28797,1,0,2548,2548,9,2025,35.65444565,40.04333115,4.388885498,37.21382777,1.807033026,334.9244499 +2548,MN,137,27,101,21,2001,2,1,10007,L010,1,15,7700,1,1, ,158 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C6,2,0, ,CHAMBERS GREENWICH TE,1789,8815,1789,7026,0,1789,0,0,0,0,2,1,5,5,6,23.83,75,24,75, ,3,N,5,2,237922,553339,0,0,1915,0,2005, , ,4.93,7.52,6,7.5,1,1001370027,0,21,981395,200054,12a, ,101S015,10104, ,0, ,1, , ,17V1.1,0,201.6136871,1722.676869,315417,14,0,2549,2549,7,1575,19.0035553,19.68199921,0.678443909,19.58507865,0.237405914,137.0955505 +2549,MN,306,26,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,85 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WALL TAN CORPORATION,2475,7946,2400,5546,0,2400,0,0,0,0,2,1,5,8,11,24.75,100,25,99,E,3,N,5,1,168750,400950,0,0,1910,0,0, , ,3.21,3.44,6,6.5,1,1003060026,0,16,986275,200605,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,256.2844334,2579.507954,232200,13,0,2550,2550,11,2475,37.59777832,37.59777832,0,37.59777832,0,413.5755615 +2550,MN,175,7505,101,33,1003,2,1,10013,L001,1,15,7700,3,1, ,88 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,88 FRANKLIN STREET GR,5006,33563,12429,21134,0,12429,0,0,0,0,2,1,7,5,6,50.33,100.08,50,96,E,3,N,0,5,191992,1667970,0,0,1915,0,0, , ,6.7,6.02,6,6.5,1,1001757505,2328,33,982938,200947,12a, ,101S033,10105, ,1001750008,8/30/2012,1, , ,17V1.1,7,307.3365164,5230.472194,1475980,14,0,2551,2551,23,5175,17.40222168,17.40222168,0,17.40222168,0,400.2510986 +2551,MN,899,29,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,321 2 AVENUE,R9A, , , , , , , , , ,N,C6,2,0, ,321 2ND AVE OWNRS CP,1699,3884,0,3884,0,0,0,0,0,0,2,1,4,6,6,17.33,98,17,55, ,3,N,5,2,82134,386945,0,0,1928,2009,0, , ,2.29,7.52,0,7.52,1,1008990029,0,48,988903,207158,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,237.9107741,1821.153965,304811,5,0,2552,2552,8,1800,20.82333374,21.89777756,1.074443817,20.95763922,0.355338892,167.6611137 +2552,MN,123,7501,101,21,1008,2,1,10007,L010,1,15,7700, ,1, ,233 BROADWAY,C5-3, , , , , ,LM, , , ,N,RB,5,0,P, ,29411,961744,961744,0,961744,0,0,0,0,0,2,1,60.5,0,130,151.58,197.75,149,196, ,0,Y,4,5,7920000,82369800,0,0,1913,2003,0, ,WOOLWORTH BUILDING,32.7,10,15,15,1,1001237501,1514,21,981941,198844,12b, ,11S 019,10104, ,1001230022,2/16/2006,1, , ,17V1.1,7,708.3983517,30963.68393,74449800,3,0,2553,2553,137,30825,25.9011116,35.99888992,10.09777832,26.60908235,2.37968569,3645.444283 +2553,MN,464,48,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,19 ST MARKS PLACE,R8B, , , , , , , , , ,N,K2,5,0,P,19-23 ST. MARKS ASSOC,8801,15851,15851,0,0,15851,0,0,0,0,2,1,7,0,5,78,112.83,78,104.92, ,3,N,5,1,1980000,4265100,0,0,1920,2002,0, , ,1.8,4,0,4,1,1004640048,0,38,987409,204963,12c, ,102 018,10205, ,1004640048,10/24/2007,1, , ,17V1.1,0,385.5527504,8891.71086,2285100,12,0,2554,2554,41,9225,32.10889053,37.08000183,4.971111298,34.05398764,1.529014268,1396.213493 +2554,MN,770,34,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,207 WEST 20 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"CHEN, JU CHAN",2060,5096,0,5096,0,0,0,0,0,0,2,2,3,10,10,25,82.42,19,39, ,3,Y,5,5,88382,416418,0,0,1900,1985,0, , ,2.47,4,0,4,1,1007700034,0,87,984955,209837,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,218.5467312,2106.696144,328036,7,0,2555,2555,11,2475,22.20999908,22.20999908,0,22.20999908,0,244.3099899 +2555,MN,565,11,102,61,3001,2,2,10003,L003,6,15,5700,1,2,3A,44 EAST 14 STREET,C6-1,C6-4, , , , ,US, , , ,Y,K2,5,0,P,4 USS LLC,32959,262576,262576,0,0,262576,0,0,0,0,2,1,7,0,12,160,206.5,106.08,206.42, ,0,N,5,2,5580000,57726900,0,0,1971,2003,2003, , ,7.97,3.44,6,6.5,1,1005650011,0,61,986598,206930,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,811.73579,33370.66622,52146900,8,0,2556,2556,149,33525,39.79555511,41.42444229,1.628887177,40.449074,0.127453892,6026.912025 +2556,MN,193,20,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,293 CHURCH STREET,C6-2A, , , , , , , , , ,N,S4,4,0,P,293 CHURCH OWNERS LLC,1613,7100,1400,5700,0,1400,0,0,0,0,2,1,5,4,5,21.5,75,22,76,E,3,N,5,5,119036,168480,0,0,1910,0,0,Tribeca East Historic District, ,4.4,6.02,6,6.5,1,1001930020,0,33,983044,201250,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,193.9315025,1571.175474,49444,14,0,2557,2557,7,1575,13.68111134,15.90222263,2.221111298,13.99841295,0.777227049,97.98889065 +2557,MN,722,41,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,237 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,C4,2,0, ,AVAL COMPANY LLC,2467,9510,1900,7610,0,1900,0,0,0,0,2,1,5,18,20,24.67,100,25,82, ,3,N,5,2,133650,1653300,0,0,1910,0,0, , ,3.85,6,0,6,1,1007220041,0,93,984000,211657,8d,Y,105S005,10302, ,0, ,1, , ,17V1.1,0,262.0491441,2544.865283,1519650,2,1,2558,2558,10,2250,10.68099976,13.96000004,3.279000282,11.00889978,0.983700085,110.0889978 +2558,MN,306,5,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,70 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,70 FORSYTH STREET INC,2500,11900,4180,7720,0,4180,0,0,0,0,2,1,5,18,21,25,100,25,88, ,3,Y,5,2,90000,491400,0,0,1900,0,0, , ,4.76,3.44,6,6.5,1,1003060005,0,16,986125,200502,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,254.1833637,2548.069069,401400,13,0,2559,2559,10,2250,37.59777832,37.59777832,0,37.59777832,0,375.9777832 +2559,MN,634,10,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,130 BANK STREET,C1-6A,R6, , , , , , , , ,Y,B3,1,0, ,ORTENZIO JAMES,1694,1836,0,1836,0,0,0,0,0,0,2,1,3,2,2,17.83,95,17.83,36,E,3,N,5,2,43819,151686,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.08,4,2,4,1,1006340010,0,75,982061,207440,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,230.6095096,1836.448416,107867,9,0,2560,2560,7,1575,13.33333302,13.51666641,0.183333397,13.3595235,0.064153325,93.51666451 +2560,MN,913,11,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,219 EAST 32 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ABART HOLDINGS,2469,9270,0,9270,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,86, ,2,N,5,2,77400,814050,0,0,1910,1983,2010, , ,3.75,4,0,4,1,1009130011,0,70,990349,210420,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,242.3671065,2423.115747,736650,10,0,2561,2561,10,2250,22.72100067,26.90444374,4.183443069,23.52435608,1.608438733,235.2435608 +2561,MN,799,7501,104,91,1003,2,3,10011,E001,13,15,5200,2,4, ,124 WEST 24 STREET,M1-6, , , , , , , , , ,N,RM,4,0, ,124 WEST 24TH ST. 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,17V1.1,0,257.2445471,2713.715388,988200,9,0,2578,2578,13,2925,23.46111107,26.52444458,3.063333511,23.8240512,0.894867202,309.7126656 +2578,MN,766,71,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,248 WEST 17 STREET,C6-2A,R8B, , , , , , , , ,Y,D1,3,0, ,248 W. 17 REALTY LLC,6292,25362,0,25362,0,0,0,0,0,0,2,1,6,48,48,52.75,104.08,53,92, ,3,Y,5,2,371700,2515950,0,1386384,1920,0,0, , ,4.03,6.02,6,6.5,1,1007660071,0,81,984141,209277,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,349.5931716,6427.597971,2144250,7,0,2579,2579,27,6075,21.88888931,23.19333267,1.304443359,21.94973289,0.252108838,592.6427879 +2579,MN,910,46,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,226 EAST 30 STREET,R7B,R8B, , , , , , , , ,Y,D1,3,0, ,230 EAST 30TH LLC,11904,109417,13543,95874,7528,0,6015,0,0,0,2,2,18,126,126,118,132.5,25,32,E,0,Y,5,5,963000,16650000,0,0,1989,1940,0, , ,9.19,3,0,3,1,1009100046,0,70,990086,209798,8d, ,104 008,10308, ,1009100050,12/9/1988,1, , ,17V1.1,0,455.09,12003.57171,15687000,10,0,2580,2580,54,12150,34.37666702,37.46777725,3.091110229,35.10137452,1.207790759,1895.474224 +2580,MN,935,55,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,308 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"MORITZ, AMY POLLNER",2074,4982,0,3737,0,0,0,0,0,0,2,1,3,3,3,21,98.75,21,51, ,3,N,5,1,102825,237633,0,0,1920,1989,2004, , ,2.4,3,0,3,1,1009350055,0,70,990563,209535,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,240.3766302,1950.368942,134808,10,0,2581,2581,10,2250,34.34444427,36.39555359,2.051109314,35.0701561,0.488935989,350.701561 +2581,MN,526,30,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,73 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,P2,8,0, ,FIROA SEGNA HLDG CO,6050,16800,16800,0,0,0,0,0,0,16800,2,4,4,0,1,60.5,100,20,54, ,3,N,5,1,630000,1787850,0,0,1890,1989,0,South Village Historic District, ,2.78,3.44,0,6.5,1,1005260030,0,65,983727,204773,12a, ,103 007,10206, ,0, ,1, , 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ASSOCIATESIN,2175,5076,2100,2976,0,2100,0,0,0,0,2,1,5,5,6,21.75,100,22,88,E,3,N,5,5,109770,271185,0,0,1900,0,0, , ,2.33,6.02,6,6.5,1,1004220053,0,3601,987069,202672,12c, ,102 002,10204,E-216,0, ,1, , ,17V1.1,0,252.572805,2202.712922,161415,1,0,2584,2584,9,2025,36.93666458,38.41600037,1.479335785,37.22868983,0.551853162,335.0582085 +2584,MN,645,22,102,79,1007,2,3,10014,L005,6,15,6100,1,2,3B,53 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,O5,5,0, ,WILLIAM GOTTLIEB,2581,6250,6250,0,3850,2400,0,0,0,0,2,1,3,0,3,25,103.25,25.84,103.24,E,3,N,5,2,174150,1761750,0,0,1910,2013,0, , ,2.42,0,5,6.5,1,1006450022,0,79,981933,209143,8b, ,103 039,10210, ,0, ,1, ,1,17V1.1,0,258.5828008,2480.126999,1587600,8,1,2585,2585,11,2475,10.54500008,10.54500008,0,10.54500008,0,115.9950008 +2585,MN,448,18,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,68 EAST 7 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,"SMITH, COLIN L",2271,4016,0,4016,0,0,0,0,0,0,2,1,3,2,2,25,90.83,25,50, ,0,N,5,5,9878,107424,0,0,1920,2009,2009,East Village/Lower East Side Historic Di, ,1.77,4,0,4,1,1004480018,0,38,987867,204237,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,240.8834854,2389.278283,97546,12,0,2586,2586,9,2025,27.1590004,27.36777687,0.208776474,27.20001263,0.077571802,244.8001137 +2586,MN,612,37,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,35 CHARLES STREET,R6, , , , , , , , , ,N,C2,2,0, ,35 CHARLES STREET COR,1584,3311,0,3311,0,0,0,0,0,0,2,1,3,6,6,16.67,95,17,52, ,3,N,5,5,60747,182449,0,0,1900,0,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006120037,0,73,983505,207115,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,231.1694097,1635.699586,121702,8,0,2587,2587,7,1575,24.50222206,25.53222275,1.030000687,24.78333337,0.436331622,173.4833336 +2587,MN,623,55,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,281 WEST 11 STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,281 W 11 OWNERS CORP,2500,11592,0,11592,0,0,0,0,0,0,2,1,5,20,20,25,100,25,80, ,3,N,5,1,180000,1457550,9440,9440,1910,1962,0,Greenwich Village Historic District, ,4.64,3.44,2,6.5,1,1006230055,0,77,982923,207502,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,250.0769655,2536.224702,1277550,8,0,2588,2588,12,2700,22.60333252,22.60333252,0,22.60333252,0,271.2399902 +2588,MN,828,56,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,12 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,"12W27 LAND, L.P.",4938,91000,88500,2500,85000,3500,0,0,0,0,2,1,18,0,19,50,98.75,50,97, ,3,N,5,2,2178000,6735600,0,0,1912,0,0,Madison Square North Historic District, ,18.43,0,10,10,1,1008280056,0,58,987195,210519,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,304.9138351,5148.25323,4557600,2,0,2589,2589,24,5400,42.13444519,43.78777695,1.653331757,42.27157466,0.454812528,1014.517792 +2589,MN,717,48,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,408 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C0,2,0, ,HARRY M AZORIN,2227,4410,0,3528,0,0,0,0,0,0,2,1,4,3,3,21.42,104,21.42,44, ,3,N,5,1,53556,157593,1550,1550,1910,0,0,Chelsea Historic District, ,1.98,3,0,3,1,1007170048,0,89,983284,210591,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,258.1990766,2327.200584,104037,7,1,2590,2590,11,2475,9.621110916,16.01555634,6.394445419,11.95416156,2.419154307,131.4957771 +2590,MN,348,33,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,156 DELANCEY STREET,R8A,C6-2A, , ,C1-5, , , , , ,Y,K1,5,0, ,156 DELANCEY RETAIL O,2725,2725,2725,0,0,2725,0,0,0,0,2,1,1,0,7,109,25,109,25, ,2,N,3,2,405000,980550,0,0,1925,1989,0, , ,1,6,0,6,1,1003480033,0,1402,988161,200899,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,277.2854422,3031.715538,575550,13,0,2591,2591,14,3150,24.76333427,24.76333427,0,24.76333427,0,346.6866798 +2591,MN,482,8,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,55 CROSBY STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,55 CROSBY STREET ASSO,2500,12500,0,12500,0,0,0,0,0,0,2,1,5,5,5,25,100,25,98, ,0,Y,5,5,71373,1258451,2360,2360,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,5,0,5,6.5,1,1004820008,0,45,984748,202332,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,257.1224267,2634.787321,1187080,0,0,2592,2592,13,2925,30.77000046,32.42889023,1.658889771,31.1057101,0.441794147,404.3742313 +2592,MN,770,24,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,229 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,FELDS REALTY LLC,2434,7612,0,7612,0,0,0,0,0,0,2,1,5,15,15,25,92,25,58,E,3,Y,5,2,125100,1068750,0,0,1901,1984,0, , ,3.13,4,0,4,1,1007700024,0,87,984738,209965,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,251.6361437,2358.763082,943650,7,0,2593,2593,10,2250,22.20999908,22.20999908,0,22.20999908,0,222.0999908 +2593,MN,196,13,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,268 CANAL STREET,M1-5, , , , , , , , , ,N,O2,5,0,X,CHINATOWN HEALTH CLIN,4338,26000,26000,0,26000,0,0,0,0,0,2,1,6,0,1,53.17,101.83,53,96, ,3,Y,3,2,796500,2865150,796500,2865150,1915,1989,2000,Tribeca East Historic District, ,5.99,0,5,6.5,1,1001960013,0,31,983868,201109,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,297.9778473,4776.839242,2068650,14,0,2594,2594,18,4050,12.95222187,14.39799976,1.445777893,14.17458004,0.41535061,255.1424408 +2594,MN,445,14,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,88 EAST 4 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,D7,4,0, ,"EAST 4TH PROPERTIES,",14100,114700,5300,109400,0,5300,0,0,0,0,2,1,9,85,89,140.1,132.2,140,90, ,0,Y,0,5,2790000,10131750,0,0,1997,0,0, , ,8.13,4,0,4,1,1004450014,0,38,987322,203677,12c, ,102 010,10205, ,1004450007,12/29/1998,1, , ,17V1.1,0,518.2080625,14378.57616,7341750,1,0,2595,2595,63,14175,29.97444344,35.23110962,5.256666183,30.96459168,1.857235494,1950.769276 +2595,MN,935,13,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,315 EAST 29 STREET,R8,R7B, , , , , , , , ,Y,D6,4,0,P,HENRY PHIPPS PLAZA NO,36950,165105,37716,127389,0,8350,29116,250,0,0,2,1,14,204,208,319.75,198,288,99, ,2,Y,4,2,2425500,7631100,2425500,7631100,1970,0,0, , ,4.47,6.02,0,6.5,1,1009350013,0,70,990727,209330,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,1055.338399,37535.04072,5205600,10,0,2596,2596,169,38025,24.75111198,36.36999893,11.61888695,31.02446907,1.806433764,5243.135273 +2596,MN,275,28,103,8,6010,2,1,10002,E009,5,14,7800,1,3,1A,141 MADISON STREET,C8-4, , , , , , , , , ,N,Y9,7,0,C,DEPT OF ENVIRONMENTAL,37625,25828,25828,0,0,0,0,0,0,25828,2,1,2,0,2,188.58,200.17,108,194, ,1,N,3,2,2466000,4586400,2466000,4586400,1962,0,0, , ,0.69,0,5,6.5,1,1002750028,0,8,986173,198961,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,779.0260087,37898.36329,2120400,16,0,2597,2597,171,38475,31.68000031,36.17666626,4.496665955,32.72050429,1.354136345,5595.206234 +2597,MN,897,64,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,222 EAST 17 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,GRAMERCY-RUTHERFORD T,1520,4332,0,4332,0,0,0,0,0,0,2,1,4,4,4,19,80,19,54, ,3,N,5,2,34308,232029,6212,6212,1920,1987,0,Stuyvesant Square Historic District, ,2.85,3,0,3,1,1008970064,0,48,988441,206914,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,207.8685586,1620.334684,197721,5,0,2598,2598,7,1575,25.1044445,25.1044445,0,25.1044445,0,175.7311115 +2598,MN,499,22,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,133 MERCER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,133 MERCER ST HOUSING,2160,19155,1915,17240,0,1915,0,0,0,0,2,1,8,6,7,29.5,71.17,30,71, ,3,N,5,2,270246,958115,4720,4720,1900,1988,2013,SoHo-Cast Iron Historic District, ,8.87,0,5,6.5,1,1004990022,0,49,984532,203219,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,206.5812736,2136.348438,687869,0,0,2599,2599,9,2025,22.35555458,22.35555458,0,22.35555458,0,201.1999912 +2599,MN,283,38,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,133 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,SYMACO INC,1875,7000,1800,5200,0,1800,0,0,0,0,2,1,5,8,9,25,75,25,63,E,2,N,5,2,83224,344650,0,0,1910,1985,0, , ,3.73,3.44,0,6.5,1,1002830038,0,6,986548,199304,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,201.0604503,1917.096548,261426,16,0,2600,2600,10,2250,31.39800072,39.62333298,8.22533226,32.3140007,2.452328171,323.140007 +2600,MN,203,7501,102,41,2002,2,1,10013,L006,5,15,6800,1,2, ,86 BOWERY,C6-1G, , , , , ,LI, , , ,N,RC,5,0, , ,2508,12388,12388,0,8298,4090,0,0,0,0,2,1,8,0,8,25.15,100,25,100, ,3,N,5,5,267300,1759501,0,0,1920,2003,2008, , ,4.94,3.44,6,6.5,1,1002037501,2173,41,985389,200563,12c, ,11N 049,10105, ,1002030019,6/29/2010,1, , ,17V1.1,7,260.094486,2584.000926,1492200,0,0,2601,2601,12,2700,40.21222305,40.21222305,0,40.21222305,0,482.5466766 +2601,MN,404,5,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,502 EAST 11 STREET,R7A, , , ,C2-5, , , , , ,N,C2,2,0, ,ROSENBLUM MURIEL C,1520,3779,0,3779,0,0,0,0,0,0,2,1,4,5,5,19,80,19,50, ,3,N,5,5,11930,74812,0,0,1900,0,0, , ,2.49,4,0,4,1,1004040005,0,34,989372,204548,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,202.2997662,1511.059583,62882,12,0,2602,2602,7,1575,12.53199959,16.11999893,3.587999344,13.43634878,1.447648912,94.05444145 +2602,MN,799,1,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,225 7 AVENUE,C6-3X, , , , , , , , , ,N,C7,4,0, ,23RD WEST ASSOCIATES,2577,9100,2100,7000,0,2100,0,0,0,0,2,1,4,13,23,43.25,59.58,18,40, ,0,N,3,2,711000,2934000,0,0,1950,1980,0, , ,3.53,9,6,9,1,1007990001,0,91,985559,210393,8d, ,105S011,10305,E-54,0, ,1, , ,17V1.1,0,217.1060661,2897.253502,2223000,2,0,2603,2603,12,2700,29.25466537,29.50511169,0.25044632,29.28164736,0.067407261,351.3797684 +2603,MN,622,1,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,552 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,101 PERRY STREET LLC,4905,15594,3000,12594,0,3000,0,0,0,0,2,1,4,32,36,77.5,86.75,77,87, ,2,Y,3,2,990000,3089700,0,0,1949,1987,0,Greenwich Village Historic District, ,3.18,3.44,2,6.5,1,1006220001,0,73,982656,207180,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,293.4869677,5194.194314,2099700,8,0,2604,2604,23,5175,22.42000008,22.42000008,0,22.42000008,0,515.6600018 +2604,MN,885,78,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,120 EAST 30 STREET,C4-5A, , , , , , , , , ,N,C0,2,0, ,MANITSKY STUART,1763,2700,0,2160,0,0,0,0,0,0,2,1,3,3,3,17.83,98.75,18,40, ,3,N,5,3,39157,77710,1550,1550,1910,0,0, , ,1.53,4,4,4,1,1008850078,0,72,989130,210330,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,240.6854009,1920.789157,38553,10,0,2605,2605,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +2605,MN,585,31,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,64 BARROW STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,1073,4125,0,4125,0,0,0,0,0,0,2,1,5,5,5,18.5,58,19,48, ,3,N,5,2,100993,239791,5295,5295,1910,1986,0,Greenwich Village Historic District, ,3.84,2.43,0,4.8,1,1005850031,0,73,982724,205908,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,159.47646,1114.095614,138798,9,0,2606,2606,4,900,18.5988884,18.5988884,0,18.5988884,0,74.39555359 +2606,MN,924,41,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,346 EAST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,ATLANTIC REALTY HOLDI,3680,7680,0,7680,0,0,0,0,0,0,2,1,4,16,16,40,92,40,47, ,3,N,5,2,142650,998550,0,0,1920,0,0, , ,2.09,3,0,3,1,1009240041,0,48,989482,206887,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,268.2920316,3735.315831,855900,5,0,2607,2607,17,3825,14.83555603,17.40555573,2.569999695,15.05385663,0.646114808,255.9155626 +2607,MN,816,59,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,30 WEST 15 STREET,C6-2M, , , , , , , , , ,N,D0,3,0,P,30 WEST 15 STREET OWN,5250,53508,3750,49758,0,3750,0,0,0,0,2,1,12,21,22,50,110.83,50,85,E,0,Y,5,2,738000,6073200,345001,345001,1908,1982,0, , ,10.19,6.02,6,6.5,1,1008160059,0,54,985680,207845,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,317.0672198,5384.306315,5335200,7,0,2608,2608,24,5400,28.19599915,33.20555496,5.009555817,28.59387891,1.321360422,686.2530937 +2608,MN,458,11,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,6 EAST 3 STREET,R8B, , , , , , , , , ,N,N9,8,0,C,DHS,15705,55000,55000,0,0,0,0,0,0,55000,2,1,7,0,1,235,66.83,134,59, ,0,Y,5,2,1413000,2434500,1413000,2434500,1915,0,0, , ,3.5,4,0,4,1,1004580011,0,3602,986779,203709,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,601.064714,15239.6428,1021500,1,0,2609,2609,69,15525,39.03777695,40.14289093,1.105113983,39.65581369,0.216352676,2736.251144 +2609,MN,490,24,102,47,1000,2,3,10012,L008,1,15,6800,1,2,1A,204 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,204 SPRING ST RLTY CO,2500,13923,2500,11423,0,2500,0,0,0,0,2,1,7,26,28,25,100,25,85, ,3,N,5,2,206100,1304100,0,0,1900,1988,0,Sullivan-Thompson Historic District, ,5.57,3.44,0,6.5,1,1004900024,0,47,983219,203471,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,249.9557846,2428.210249,1098000,0,0,2610,2610,10,2250,15.65555573,19.05888939,3.403333664,16.25766697,1.068368169,162.5766697 +2610,MN,481,28,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,195 MULBERRY STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,85 KENMARE REALTY COR,5350,27289,3960,23329,0,3960,0,0,0,0,2,1,6,40,47,59.83,100.17,59.83,88.92, ,3,Y,3,2,301950,3524850,0,0,1900,1962,0, , ,5.1,3.44,6,6.5,1,1004810028,0,41,985153,202110,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,315.3704399,5651.786981,3222900,0,0,2611,2611,25,5625,35.01599884,35.01599884,0,35.01599884,0,875.399971 +2611,MN,611,4,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,239 WEST 4 STREET,C2-6,R6, , , , , , , , ,Y,S9,4,0, ,239 W4 ST CP,1642,2586,600,1986,0,600,0,0,0,0,2,1,3,2,4,20.33,80.67,20,43, ,3,Y,5,5,142478,325165,0,0,1910,0,0,Greenwich Village Historic District, ,1.57,3.44,2,6.5,1,1006110004,0,73,983465,206890,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,204.5520226,1666.265464,182687,8,0,2612,2612,7,1575,23.83777809,25.43000031,1.592222214,24.06523841,0.557161712,168.4566689 +2612,MN,587,51,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,47 BARROW STREET,C2-6,R6, , , , , , , , ,Y,B9,1,0, ,"CLARKE, SUZANNE",840,1890,0,1890,0,0,0,0,0,0,2,1,3,2,2,21,40,21,30, ,3,N,5,2,25494,100327,3380,3380,1899,0,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1005870051,0,67,983076,205963,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,125.5043628,896.7441138,74833,9,0,2613,2613,5,1125,17.76222229,21.30888939,3.546667099,18.57155571,1.382298419,92.85777855 +2613,MN,416,39,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,54 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C4,2,0,P,"COPLEY, UNA DORA",2000,7499,1400,6099,0,1400,0,0,0,0,2,1,4,6,8,25,80,25,78, ,2,N,3,2,24446,79028,0,0,1900,0,0, , ,3.75,4,4,4,1,1004160039,0,3601,986904,201916,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,217.9444214,2155.845947,54582,13,0,2614,2614,9,2025,37.29800034,39.91333389,2.615333557,37.76303736,0.90422058,339.8673363 +2614,MN,286,24,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,253 EAST BROADWAY,R7-2, , , , , , , , , ,N,C7,4,0,P,253 E. BROADWAY ASSOC,2185,6248,1000,5248,0,1000,0,0,0,0,2,1,4,8,9,23,95,23,85,E,3,N,5,1,33522,206698,0,0,1900,1989,0, , ,2.86,3.44,0,6.5,1,1002860024,0,201,988220,199477,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,241.5246351,2238.721241,173176,13,0,2615,2615,8,1800,30.16900063,32.05666733,1.887666702,30.89087534,0.642409639,247.1270027 +2615,MN,419,48,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,124 FORSYTH STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,GARLYLE REALTY CORP,2500,10000,1500,8500,0,1500,0,0,0,0,2,1,5,18,20,25,100,25,79, ,3,N,5,2,90000,532800,0,0,1900,0,0, , ,4,6.02,6,6.5,1,1004190048,0,18,986451,201340,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,257.7158238,2625.470557,442800,13,0,2616,2616,13,2925,39.86888886,44.41888809,4.549999237,40.2188888,1.212435362,522.8455544 +2616,MN,885,20,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,142 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S1,4,0, ,ANB REALTY CORP,2469,7350,3209,4141,3209,0,0,0,0,0,2,1,5,1,2,24.67,100,24.67,52, ,0,N,5,5,139780,207360,0,0,1920,1989,0, , ,2.98,6.02,6,6.5,1,1008850020,0,72,989191,210168,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,257.2991074,2610.824888,67580,10,0,2617,2617,12,2700,32.84000015,32.84000015,0,32.84000015,0,394.0800018 +2617,MN,607,47,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,465 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S9,4,0, ,HERLIEN 72ND STREET L,1515,6060,1515,4545,0,1515,0,0,0,0,2,1,4,6,9,25.25,60,25,59,E,2,N,3,2,223781,733597,0,0,1910,2014,0,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1006070047,0,71,984679,207275,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,176.2695597,1640.32975,509816,8,0,2618,2618,7,1575,21.80333328,21.80333328,0,21.80333328,0,152.623333 +2618,MN,594,34,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,310 SPRING STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,UNITY ENVIRONMENTALCO,1875,3175,1575,1600,0,1575,0,0,0,0,2,1,3,1,2,25,75,25,32,E,3,N,5,5,24275,85737,0,0,1899,0,0, ,DENNISON AND LYDIA WOOD HOUSE,1.69,6.02,6,6.5,1,1005940034,0,37,981865,203686,12a, ,101N063,10208,E-116,0, ,1, ,1,17V1.1,0,205.7406368,2004.739569,61462,0,1,2619,2619,9,2025,7.988888741,12.04555511,4.056666374,8.439629449,1.274887245,75.95666504 +2619,MN,772,32,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,225 WEST 22 STREET,R8B, , , , , , , , , ,N,A1,1,0, ,MARY L ROONEY,1504,4864,0,3879,0,0,0,0,0,0,2,1,4,1,1,16.08,98.75,16.08,56, ,3,Y,5,5,70643,108727,0,0,1901,0,0, , ,3.23,4,0,4,1,1007720032,0,91,985135,210319,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,230.5053383,1520.682069,38084,2,0,2620,2620,7,1575,22.16600037,30.56666756,8.400667191,23.780159,2.945544475,166.461113 +2620,MN,915,30,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,629 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S3,4,0,P,629 SECOND CORP,1495,4366,950,3416,0,950,0,0,0,0,2,1,4,3,4,19.67,76,20,50, ,3,N,5,5,44990,416000,0,0,1910,0,2009, , ,2.92,10,2,10,1,1009150030,0,78,990915,210768,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,195.0000856,1431.001703,371010,10,0,2621,2621,5,1125,18.38999939,18.89999962,0.510000229,18.49199944,0.204000092,92.45999718 +2621,MN,412,58,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,3B,217 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,C4,2,1, ,"TDJ HOLDINGS, LLC",3000,9600,1920,7680,0,1920,0,0,0,0,2,1,5,8,9,30,100,30,56, ,3,N,5,0,68965,218940,0,0,1900,0,0, , ,3.2,6.02,6,6.5,1,1004120058,0,3001,987906,202336,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,264.8161548,3005.079926,149975,1,0,2622,2622,13,2925,30.23399925,31.11555672,0.881557465,30.30181137,0.234908049,393.9235477 +2622,MN,179,1,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,170 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,G6,10,0, ,15 WORTH STREET PROPE,13712,0,0,0,0,0,0,0,0,0,7,1,0,0,0,74,150,0,0, ,0,Y,3,5,2137950,2137950,0,0,0,0,0, , ,0,6.02,6,6.5,1,1001790001,0,33,982094,200870,12a, ,101S035,10105,E-61,0, ,1, , ,17V1.1,0,503.284131,13810.09704,0,14,1,2623,2623,60,13500,10.17444515,13.21000004,3.035554886,12.30887051,0.762150243,738.5322304 +2623,MN,355,44,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,178 NORFOLK STREET,R7A, , , , , , , , , ,N,C7,4,0,P,"P.S.A. LESAGE,",2500,11830,1800,10030,0,1800,0,0,0,0,2,1,6,20,21,25,100,25,90,E,2,N,5,2,225000,1077750,0,0,1900,1988,0, , ,4.73,4,0,4,1,1003550044,0,3001,988240,202054,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,255.8264761,2603.818058,852750,1,0,2624,2624,12,2700,23.94333458,28.34444427,4.401109695,24.36779737,1.214057284,292.4135685 +2624,MN,635,41,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,121 BANK STREET,R6, , , , , , , , , ,N,C4,2,0, ,117 LIMITED PARTNERSH,1767,6400,0,6400,0,0,0,0,0,0,2,1,5,10,10,16.5,114.17,17,74, ,3,Y,5,2,109579,272738,0,0,1901,0,0,Greenwich Village Historic District, ,3.62,2.43,0,4.8,1,1006350041,0,79,982126,207602,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,272.7533257,1800.168143,163159,8,0,2625,2625,8,1800,13.34599972,13.34599972,0,13.34599972,0,106.7679977 +2625,MN,400,19,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,526 EAST 5 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,TESSERES PETRES LLC,1883,5200,0,5200,0,0,0,0,0,0,2,1,4,1,1,19.58,96.17,20,79, ,3,N,5,5,30022,158952,0,0,1900,2012,0, , ,2.76,3,0,3,1,1004000019,0,32,988882,203108,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,231.2272271,1866.540192,128930,1,0,2626,2626,8,1800,15.8922224,18.55444527,2.662222862,16.22500026,0.880447454,129.8000021 +2626,MN,478,17,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,174 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,S4,4,0, ,174 ELIZABETH STREET,940,2660,530,2130,0,530,0,0,0,0,2,1,4,4,5,19,49.5,19,36, ,3,N,5,5,31294,113608,0,0,1900,2016,0, , ,2.83,6.02,6,6.5,1,1004780017,0,41,985737,201957,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,139.742631,966.2976258,82314,0,0,2627,2627,4,900,38.05444717,39.87110901,1.816661835,38.50861263,0.786637649,154.0344505 +2627,MN,107,49,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,275 WATER STREET,C6-2A, , , , , ,LM, , , ,N,D4,3,0,P,SEAPORT TOWERS CORP,1804,14800,1500,13300,0,1500,0,0,0,0,2,1,8,6,7,24.5,74,25,70, ,3,Y,5,2,467630,920432,2360,2360,1906,0,0,South Street Seaport Historic District, ,8.2,6.02,6,6.5,1,1001070049,0,1501,983978,197418,12d,Y,101S023,10103, ,0, ,1,1,1,17V1.1,0,198.0533593,1828.498145,452802,4,1,2628,2628,8,1800,6.215000153,6.215000153,0,6.215000153,0,49.72000122 +2628,MN,583,57,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,91 LEROY STREET,C1-6,R6, , , , , , , , ,Y,C2,2,0,P,"DZHANASHVILI, VISSARI",2200,3607,0,3607,0,0,0,0,0,0,2,1,3,5,5,22.08,100,22,52,E,2,N,5,5,187833,286709,0,0,1930,1987,0,Greenwich Village Historic District, ,1.64,3.44,2,6.5,1,1005830057,0,67,982494,205382,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,254.8708138,2336.295951,98876,9,0,2629,2629,11,2475,15.38333321,17.50755501,2.124221802,16.30179804,0.854662256,179.3197784 +2629,MN,508,42,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,239 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,239 ELIZABETH REALTY,1805,7670,640,7030,0,640,0,0,0,0,2,1,6,10,11,20,90.25,20,75, ,3,N,5,2,55350,320850,0,0,1914,1989,0, , ,4.25,6.02,6,6.5,1,1005080042,0,43,985861,202778,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,226.4674896,1813.952161,265500,9,0,2630,2630,8,1800,43.06000137,43.06000137,0,43.06000137,0,344.480011 +2630,MN,275,1,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,125 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,125 MADISON ST. LLC,1779,6810,200,6610,200,0,0,0,0,0,2,1,5,15,16,25.42,100.17,25,86, ,3,Y,5,2,47700,301950,0,0,1900,1959,0, , ,3.83,3.44,0,6.5,1,1002750001,0,8,985933,198872,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,237.8877617,1827.052359,254250,16,0,2631,2631,9,2025,30.54333305,32.23966599,1.696332932,30.73181449,0.533106008,276.5863304 +2631,MN,803,31,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,107 WEST 27 STREET,C6-4X,M1-6, , , , , , , , ,Y,K4,4,0, ,CARL J CALO,1975,4003,4003,0,0,2003,0,2000,0,0,2,1,3,0,1,20,98.75,20,96,E,3,N,5,1,175500,528750,0,0,1910,0,0, , ,2.03,10,10,10,1,1008030031,0,95,986633,211010,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,244.7592898,2057.864743,353250,2,0,2632,2632,9,2025,37.16799927,38.70222092,1.534221649,37.33846834,0.482159348,336.0462151 +2632,MN,377,51,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,273 EAST 7 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,273 E 7ST LES LLC,2169,5500,0,5500,0,0,0,0,0,0,2,1,3,8,8,22.25,97.5,22,58, ,3,N,5,2,8871,39386,0,0,1900,0,0, , ,2.54,4,0,4,1,1003770051,0,2602,990624,202882,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,240.4125747,2065.261198,30515,12,1,2633,2633,9,2025,8.156999588,11.52444458,3.367444992,8.880629328,1.354800165,79.92566395 +2633,MN,744,44,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,304 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,AVANTI REALTY CORP,2300,8720,0,8720,0,0,0,0,0,0,2,1,5,20,20,25,92,25,74, ,3,N,5,2,82350,850500,0,0,1900,1980,0, , ,3.79,3,0,3,1,1007440044,0,89,984231,210353,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,246.7824748,2626.677707,768150,7,0,2634,2634,11,2475,18.79500008,21.67222214,2.877222061,19.05656572,0.827143186,209.6222229 +2634,MN,164,61,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,191 WORTH STREET,C6-1, , , , , ,TA, , , ,N,W2,8,0,P,TRUE LIGHT LUTHERANCH,4203,20271,20271,0,20271,0,0,0,0,0,2,1,5,0,1,65.25,69,84,69, ,3,Y,3,2,376650,1934550,0,0,1948,0,0, , ,4.82,3.44,6,6.5,1,1001640061,0,29,984444,199405,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,277.0079927,4440.164613,1557900,16,0,2635,2635,19,4275,25.58300018,25.58300018,0,25.58300018,0,486.0770035 +2635,MN,486,26,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,67 GREENE STREET,M1-5A, , , , , , , , , ,N,S4,4,0, ,"67-65 GREENE STREET,",2625,10821,2000,8821,0,2000,0,0,0,0,2,1,5,4,5,25,104.83,25,105,E,3,N,5,5,332982,443453,0,0,1900,1989,2008,SoHo-Cast Iron Historic District, ,4.12,0,5,6.5,1,1004860026,0,49,983941,202793,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,268.0614893,2769.005276,110471,0,0,2636,2636,12,2700,11.1744442,11.1744442,0,11.1744442,0,134.0933304 +2636,MN,857,38,105,56,1000,2,2,10016,E016,13,15,5700,1,5,1B,386 PARK AVENUE SOUTH,C5-3, , , , , , , , , ,N,O4,5,0, ,386 PARK SOUTH LLC,10350,232133,232133,0,225233,6900,0,0,0,0,2,1,20,0,53,46.25,150,46,150, ,2,Y,3,2,9000000,27388800,0,0,1927,1988,2013, , ,22.43,10,15,15,1,1008570038,0,56,988413,210009,8d, ,104 004,10306, ,0, ,1, , 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HOROWITZ FAMILYT,2508,6685,1671,5014,0,1671,0,0,0,0,2,1,4,3,4,25.08,100,25.08,40, ,3,Y,5,5,179795,656328,0,0,1900,1991,0, , ,2.67,3.44,6,6.5,1,1004780039,0,41,985747,201553,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,252.1236751,2484.363029,476533,0,0,2665,2665,12,2700,35.62666702,35.62666702,0,35.62666702,0,427.5200043 +2665,MN,828,39,105,58,1003,2,2,10001,E001,13,15,5700,1,5,1B,224 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0,P,224 FIFTH MADISON PAR,2800,13517,13517,0,11017,2500,0,0,0,0,2,1,6,0,6,28,100,28,100,E,3,N,5,2,499500,1259100,0,0,1980,1982,0,Madison Square North Historic District, ,4.83,10,10,10,1,1008280039,0,58,987495,210289,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,257.0011501,2860.21994,759600,11,0,2666,2666,12,2700,41.03300095,41.03300095,0,41.03300095,0,492.3960114 +2666,MN,515,13,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,475 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C7,4,0, ,BLDG 03 LLC,2325,7750,1005,6745,0,1005,0,0,0,0,2,1,5,8,10,21.5,100,22,64, ,2,Y,5,2,285626,420075,0,0,1900,1987,2006,SoHo-Cast Iron Historic District, ,3.33,0,5,6.5,1,1005150013,0,49,984295,203988,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,255.9998216,2323.209827,134449,9,0,2667,2667,9,2025,20.20444489,25.44666672,5.242221832,20.78691398,1.64747138,187.0822258 +2667,MN,418,48,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,105 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,105 ELDRIDGE LLC,5024,13544,5024,8520,0,5024,0,0,0,0,2,1,4,18,20,50.08,100.33,50,98, ,3,N,5,2,540000,2172150,0,0,1900,2016,0, , ,2.7,4,4,4,1,1004180048,0,18,986390,200904,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,304.7285001,5099.609316,1632150,13,0,2668,2668,23,5175,37.89666748,37.89666748,0,37.89666748,0,871.6233521 +2668,MN,611,53,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,10 CHARLES STREET,R6, , , , , , , , , ,N,C2,2,0, ,10 CHARLES STREET LLC,1900,4860,0,4860,0,0,0,0,0,0,2,2,4,6,6,20,95,20,54,E,3,N,5,1,110329,331374,0,0,1920,2009,2009,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006110053,0,71,984016,207070,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,233.5768923,2011.542759,221045,8,0,2669,2669,9,2025,19.84000015,20.30733299,0.46733284,19.89192602,0.146868542,179.0273342 +2669,MN,434,7504,103,32,2000,1,2,10009,L011,9,14,6600,3,3, ,107 AVENUE A,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,2267,8783,2040,6743,0,2040,0,0,0,0,2,1,6,10,11,22.67,100,22.67,95.33, ,0,N,0,5,242996,1529097,4720,480100,1920,2004,2005, , ,3.87,4,0,4,1,1004347504,1526,32,988704,203783,12c, ,102 020,10205, ,1004340030,3/2/2006,1, , ,17V1.1,7,251.6009283,2388.26682,1286100,12,0,2670,2670,11,2475,18.26222229,18.26222229,0,18.26222229,0,200.8844452 +2670,MN,458,22,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,30 EAST 3 STREET,R8B,C6-2A, , , , , , , , ,Y,C0,2,0, ,STEVEN M. PASCHALL,1357,3840,0,3840,0,0,0,0,0,0,2,1,3,3,3,23,59.25,23,59, ,2,Y,5,1,48542,83496,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.83,4,0,4,1,1004580022,0,3602,986895,203647,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,166.9394655,1390.685481,34954,1,0,2671,2671,6,1350,37.60888672,37.60888672,0,37.60888672,0,225.6533203 +2671,MN,300,29,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,73 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,M.Y. REALTY INC.,1688,11470,11470,0,9930,1540,0,0,0,0,2,1,7,0,7,22.5,75,23,75, ,3,N,3,2,96300,1134900,0,0,1900,0,0, , ,6.8,3.44,6,6.5,1,1003000029,0,16,986283,199896,12d, ,101N050,10107, ,0, ,1, , ,17V1.1,0,204.2697567,1899.866949,1038600,13,0,2672,2672,8,1800,39.09000015,42.94777679,3.857776642,39.95380545,1.509632897,319.6304436 +2672,MN,586,7,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,32 LEROY STREET,R6, , , , , , , , , ,N,C4,2,0, ,431 HOLDING COMPANY,1760,6905,0,6905,0,0,0,0,0,0,2,1,5,10,10,22,80,22,64, ,3,N,5,2,113194,338839,0,0,1900,0,0,Greenwich Village Historic District Exte, ,3.92,2.43,0,4.8,1,1005860007,0,67,983182,205385,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,211.5177338,1920.218793,225645,9,0,2673,2673,9,2025,15.38333321,15.43444443,0.051111221,15.38901223,0.016062707,138.5011101 +2673,MN,485,6,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,68 GREENE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,L AND L 68 REALTY CO.,2825,12880,12880,0,7560,5320,0,0,0,0,2,1,5,0,5,28.31,100,28,90, ,3,N,5,2,675000,2314350,0,0,1880,1972,0,SoHo-Cast Iron Historic District, ,4.56,0,5,6.5,1,1004850006,0,49,984065,202711,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,264.7090297,2989.365111,1639350,0,0,2674,2674,13,2925,17.71444511,17.71444511,0,17.71444511,0,230.2877865 +2674,MN,530,44,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,48 BOND STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,LAUTO GROUP LTD,5317,45000,4000,41000,0,0,2000,2000,0,0,2,1,11,14,14,53.17,100,53,80, ,0,N,5,2,315000,5024700,0,957852,2006,0,0,NoHo Historic District Extension, ,8.46,0,5,6.5,1,1005300044,0,5502,986271,203852,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,313.7344218,5562.513734,4709700,9,0,2675,2675,25,5625,43.14099884,45.11833191,1.977333069,43.63984436,0.61171954,1090.996109 +2675,MN,379,48,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,733 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,733 EAST NINTH STREET,2306,9379,0,9379,0,0,0,0,0,0,2,1,5,18,18,25,92.25,25,86, ,0,N,5,5,45000,831150,45000,831150,1900,1960,0, , ,4.07,4,0,4,1,1003790048,0,28,990771,203373,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,241.5739954,2558.777436,786150,12,1,2676,2676,12,2700,7.409999847,7.885000229,0.475000381,7.845416864,0.13128317,94.14500237 +2676,MN,615,48,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,25 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,"STONE, ELLEN",1965,4200,0,3150,0,0,0,0,0,0,2,1,3,1,1,21.83,90,21.83,50,E,3,N,5,1,42908,197571,8450,8450,1899,0,0,Greenwich Village Historic District, ,2.14,2.43,0,4.8,1,1006150048,0,77,983456,207841,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,230.5132296,2004.952147,154663,8,0,2677,2677,8,1800,23.05999947,27.90999985,4.850000381,24.50541639,2.000910517,196.0433311 +2677,MN,162,52,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,9 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,MANDARIN REALTY LLC,2239,7420,1500,5920,0,1500,0,0,0,0,2,1,4,8,9,25,94.33,25,94, ,3,Y,5,2,214152,617905,0,0,1920,0,0, , ,3.31,3.44,6,6.5,1,1001620052,0,29,984863,199625,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,237.4941171,2223.052702,403753,16,0,2678,2678,11,2475,39.70399857,40.24888992,0.544891357,39.80064531,0.205097527,437.8070984 +2678,MN,564,16,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,833 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,833 BROADWAY RLTY COR,4823,19914,19914,0,15665,4249,0,0,0,0,2,1,5,0,5,23.75,129.58,23.25,118,E,3,Y,5,2,372150,2517750,0,0,1900,0,0, , ,4.13,3.44,6,6.5,1,1005640016,0,61,986645,206662,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,332.9996739,4956.053727,2145600,8,0,2679,2679,22,4950,38.11633301,38.11633301,0,38.11633301,0,838.5593262 +2679,MN,719,35,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,407 WEST 21 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"MASON, LUBICA",1980,5900,0,5900,0,0,0,0,0,0,2,1,4,1,1,22,90,22,60, ,0,N,5,5,239149,401698,0,0,1910,2010,0,Chelsea Historic District, ,2.98,3,0,3,1,1007190035,0,89,983510,210924,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,228.4921082,2024.488879,162549,7,1,2680,2680,9,2025,9.307999611,16.15999985,6.852000237,11.63078986,2.581307778,104.6771088 +2680,MN,438,8,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,178 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,K4,4,0, ,FOUR GUDS RLTY CORP,1670,3804,3804,0,0,3048,0,0,0,756,2,1,3,0,2,17.75,94,18,88,E,3,N,5,2,157500,525600,0,0,1920,0,0, , ,2.28,4,0,4,1,1004380008,0,34,988736,204910,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,233.9873097,1887.651639,368100,12,0,2681,2681,9,2025,17.98900032,21.5522213,3.563220978,18.38491376,1.119812318,165.4642239 +2681,MN,769,7505,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,251 WEST 19 STREET,C6-2A,R8B, , , , , , , , ,Y,RM,4,0, ,THE CHELSEA 19 CONDOM,7825,72312,2265,70047,0,2265,0,0,0,0,2,1,11,43,44,79.17,91.67,79,109, ,0,Y,0,5,1165950,9055355,4720,4720,1910,0,0, , ,9.24,6.02,6,6.5,1,1007697505,1239,87,984481,209833,8d, ,103 034,10304, ,1007690010,8/29/2002,1, , ,17V1.1,7,398.6979071,8193.998619,7889410,7,0,2682,2682,35,7875,21.88888931,21.88888931,0,21.88888931,0,766.1111259 +2682,MN,451,18,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,214 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,EAST TENTH CAPITAL CO,2306,10302,1500,8802,0,1500,0,0,0,0,2,1,6,22,24,25,92.25,25,82, ,2,N,5,2,272700,1722600,0,0,1900,0,0, , ,4.47,4,0,4,1,1004510018,0,40,988119,204949,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,239.9830366,2384.908639,1449900,12,0,2683,2683,10,2250,23.10400009,27.79999924,4.695999146,23.57360001,1.408799744,235.7360001 +2683,MN,390,1,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,185 EAST 7 STREET,R7A,R8B, , , , , , , , ,Y,W2,8,0,X,>T BRIDGETS R C CHURC,11993,19600,19600,0,19600,0,0,0,0,0,2,1,2,0,1,97.5,123,88,119, ,2,N,3,2,652500,2088450,652500,2088450,1955,0,0, , ,1.63,4,0,4,1,1003900001,0,2602,989574,203463,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,444.9531295,12253.75759,1435950,12,1,2684,2684,55,12375,9.445555687,12.46666718,3.021111488,10.16610713,0.96295585,559.1358919 +2684,MN,402,41,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,98 AVENUE B,R7A, , , ,C1-5, , , , , ,N,K4,4,0, ,"98 AVENUE B NY, LLC",1844,3368,1784,1584,0,1584,0,200,0,0,2,1,2,1,2,20,70,20,46,E,0,Y,5,5,162000,333450,0,0,1900,0,0, , ,1.83,4,0,4,1,1004020041,0,32,989324,203331,12c, ,102 021,10203,E-216,0, ,1, , ,17V1.1,0,223.8989859,1828.476126,171450,1,0,2685,2685,7,1575,12.85000038,12.85000038,0,12.85000038,0,89.95000267 +2685,MN,259,44,103,2.02,2001,1,1,10002,E015,7,14,8000,1,3,1B,198 MONROE STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,14963,53815,53815,0,0,0,0,0,0,53815,2,1,6,0,2,136.67,122.58,135,118, ,1,Y,5,2,499500,1815750,499500,1815750,1904,1988,0, , ,3.6,3.44,0,6.5,1,1002590044,0,202,988653,198769,12d, ,101N057,10106, ,0, ,1, , ,17V1.1,0,549.8897251,16847.60381,1316250,13,0,2686,2686,74,16650,21.94888878,27.68666649,5.73777771,23.59999087,2.303251643,1746.399324 +2686,MN,283,94,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,111 DIVISION STREET,C6-2, , , , , , , , , ,N,D7,4,0, ,DOWNTOWN MANHATTAN CO,4075,17895,3500,14395,0,3500,0,0,0,0,2,1,5,18,20,58.5,70.17,57,70, ,3,Y,3,2,276750,748350,0,0,1920,1988,0, , ,4.39,6.02,6,6.5,1,1002830094,0,6,986381,199494,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,264.7182819,4334.869796,471600,16,0,2687,2687,19,4275,35.5909996,40.68999863,5.098999023,36.34581235,1.745477671,690.5704346 +2687,MN,656,1,102,69,1016,2,3,10014,E024,6,15,6400,1,2,1B, PIER 40,M2-3, , , , , ,HRP, , , ,N,T2,7,0,O,NYS DOT,1096075,281617,281617,0,0,0,147668,0,0,133949,2,1,2,0,1,810,980,810,980, ,1,Y,9,0,36173700,56202750,36173700,56202750,1960,0,0, , ,0.26,0,2,0,1,1006560001,0,69,980637,204999,12a, ,103 047,10210, ,0, ,1,1,1,17V1.1,0,3533.645433,670966.6739,20029100,0,1,2688,2688,2805,631125,0,8.261111259,8.261111259,7.740905515,0.462098596,21713.23997 +2688,MN,621,27,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,97 CHARLES STREET,C1-6, , , , , , , , , ,N,G1,10,0,P,99 CHARLES ST CORP,8525,25410,25410,0,0,0,25410,0,0,0,2,1,3,0,1,47.75,191.58,48,191, ,3,Y,4,1,576000,1409400,0,0,1910,0,0,Greenwich Village Historic District, ,2.98,3.44,2,6.5,1,1006210027,0,73,982754,207017,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,479.3243757,8589.320424,833400,9,0,2689,2689,38,8550,21.76222229,24.01444435,2.252222061,21.82149129,0.360519262,829.2166691 +2689,MN,429,35,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,17 AVENUE A,R7A, , , ,C2-5, , , , , ,N,K9,5,0,P,17 AVE A RLTY CORP,3312,10176,10176,0,0,1800,0,8376,0,0,2,3,4,0,2,51.75,64,51.75,64, ,3,N,5,2,223650,917550,0,0,1900,0,0, , ,3.07,4,0,4,1,1004290035,0,3002,988091,202640,12c, ,102 011,10205, ,0, ,1, , 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,17V1.1,0,135.0329668,950.2214083,149496,8,0,2706,2706,5,1125,15.4800005,15.82999992,0.349999428,15.55000038,0.139999771,77.75000191 +2706,MN,642,48,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,82 HORATIO STREET,R6, , , , , , , , , ,N,C6,2,0,P,THE CITY OF NEW YORK,1577,5960,0,5960,0,0,0,0,0,0,2,1,5,11,11,18.33,87.42,18,64, ,3,N,5,2,78750,696150,3247,3247,1915,0,0,Greenwich Village Historic District, ,3.78,2.43,0,4.8,1,1006420048,0,79,982206,208359,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,217.3134692,1757.307937,617400,8,1,2707,2707,6,1350,10.79777813,16.18111229,5.38333416,11.69500049,2.006250188,70.17000294 +2707,MN,415,35,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,123 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"PPC MANAGEMENT, INC.",2275,8021,2125,5896,0,1100,0,0,0,1025,2,1,6,17,20,25.08,88.17,25,51, ,2,N,5,1,180000,1008900,0,0,1900,1987,2008, , ,3.53,4,4,4,1,1004150035,0,18,986890,201543,12c, ,101N078,10204, ,0, ,1, , 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,17V1.1,0,133.2486349,1079.910252,246600,0,1,2710,2710,5,1125,11.39777756,11.39777756,0,11.39777756,0,56.98888779 +2710,MN,883,28,106,68,6000,2,2,10016,E016,13,14,5300,1,6,1B,133 EAST 27 STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,99 LEXINGTON REALTYCO,1700,5358,1900,3458,0,1400,500,0,0,0,2,1,4,6,10,24.67,69,25,68,E,2,N,3,2,195636,798341,0,0,1910,1987,0, , ,3.15,6.02,6,6.5,1,1008830028,0,68,989065,209617,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,197.4400569,1931.957559,602705,11,0,2711,2711,9,2025,33.40789032,33.70333481,0.295444489,33.44071749,0.092849245,300.9664574 +2711,MN,898,44,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,222 EAST 18 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,236 SECOND AVENUE LLC,1440,4815,0,4815,0,0,0,0,0,0,2,1,4,8,8,18,80,18,52, ,3,N,5,2,28632,374350,0,0,1920,1985,2009,Stuyvesant Square Historic District, ,3.34,3,0,3,1,1008980044,0,48,988579,207116,12c, ,102 036,10308, ,0, ,1, , 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,17V1.1,0,303.7464952,5008.515834,1788300,0,0,2714,2714,22,4950,31.90200043,36.83444595,4.932445526,32.33721248,1.317146428,711.4186745 +2714,MN,323,73,103,10.02,1003,1,2,10002,L018,7,14,7600,1,3,3A,286 DELANCEY STREET,R7-2, , , , , , , , , ,N,M1,8,0,P,DEWITT REFORMED CHURC,8550,17400,17400,0,0,0,0,0,0,17400,2,1,1.5,0,1,105,100,90,70, ,0,Y,5,2,459000,1916100,459000,1916100,1958,0,0, , ,2.04,3.44,0,6.5,1,1003230073,0,1002,989944,200707,12c, ,102 007,10201, ,0, ,1, ,1,17V1.1,0,408.0077072,8462.529634,1457100,1,1,2715,2715,36,8100,10.34999943,12.73333263,2.383333206,10.41620313,0.391666372,374.9833126 +2715,MN,913,7501,106,70,1001,2,2,10016,L007,17,14,5800,2,6, ,239 EAST 32 STREET,R8B, , , , , , , , , ,N,R6,2,0, ,OWNER / AGENT,1761,3934,0,3934,0,0,0,0,0,0,2,1,3,3,3,17.83,98.75,0,0, ,0,N,5,5,34621,67540,0,0,1950,0,0, , ,2.23,4,0,4,1,1009137501,691,70,990493,210340,8d, ,104 021,10308, ,1009130020,11/15/1990,1, , ,17V1.1,7,227.0708229,1689.480125,32919,10,0,2716,2716,7,1575,22.29000092,22.72100067,0.430999756,22.65942928,0.150818497,158.6160049 +2716,MN,528,77,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,31 BEDFORD STREET,R6, , , , , , , , , ,N,C7,4,0, ,500 TURTLES LLC,4166,20328,2000,18328,0,2000,0,0,0,0,2,1,6,36,39,45,92.58,45,93, ,2,N,3,2,526500,4030200,0,0,1900,2015,2013,Greenwich Village Historic District Exte, ,4.88,2.43,0,4.8,1,1005280077,0,67,983158,205009,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,285.5435484,4520.96668,3503700,9,0,2717,2717,19,4275,15.38333321,15.38333321,0,15.38333321,0,292.2833309 +2717,MN,444,14,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,50 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,50-58 EAST THIRD FEE,3806,17310,0,17310,0,0,0,0,0,0,2,1,6,24,24,38,101.75,38,82, ,3,N,5,2,270000,2309850,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.55,4,0,4,1,1004440014,0,3602,987167,203475,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,287.4208322,4059.364279,2039850,1,0,2718,2718,18,4050,33.39555359,34.43888855,1.043334961,33.45351664,0.238987791,602.1632996 +2718,MN,492,25,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,218 BOWERY,C6-1, , , , , ,LI, , , ,N,HH,5,0, ,"BOWERY DREAM, LLC",5008,17039,5000,0,0,5000,0,0,0,0,2,1,4,0,2,50.08,100,50,96, ,2,N,5,2,471150,1289700,0,0,1927,0,0, , ,3.4,3.44,6,6.5,1,1004920025,0,43,985973,202319,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,306.413697,5162.650363,818550,0,0,2719,2719,24,5400,39.76666641,39.76666641,0,39.76666641,0,954.3999939 +2719,MN,271,46,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,225 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,E S VENETIS PROPERTIE,2614,14176,2300,11876,0,2300,0,0,0,0,2,1,6,22,25,26.08,100.25,26,97,E,2,Y,3,2,191250,474750,0,0,1900,0,0, , ,5.42,3.44,0,6.5,1,1002710046,0,6,987390,199041,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,264.9772981,2971.132871,283500,16,0,2720,2720,13,2925,17.21111107,18.46500015,1.253889084,17.30756408,0.334123015,224.998333 +2720,MN,210,26,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,45 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,LISPENARD STUDIO CORP,4241,37400,4140,33260,0,4140,0,0,0,0,2,1,9,16,19,91.83,49.92,92,46, ,3,Y,5,2,450000,3227400,11800,11800,1920,1979,0,Tribeca East Historic District, ,8.82,6.02,6,6.5,1,1002100026,0,33,983415,201509,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,286.0348201,4455.472492,2777400,0,0,2721,2721,21,4725,12.33199978,15.02000046,2.688000679,13.06344963,1.050410408,274.3324423 +2721,MN,844,7503,105,52,2004,2,2,10003,L003,13,15,5700,1,5, ,13 EAST 16 STREET,C6-2A, , , , , , , , , ,N,RX,4,0, , ,2300,17173,10971,6202,3964,1800,0,1243,3964,0,2,1,8,4,9,25,92,0,0, ,0,N,0,2,449999,2474100,0,0,1910,0,0,Ladies' Mile Historic District, ,7.47,6.02,6,6.5,1,1008447503,1492,52,986587,207823,12c, ,102 034,10306, ,1008440010,1/6/2006,1, , ,17V1.1,7,247.2135864,2457.806552,2024100,7,0,2722,2722,11,2475,41.09000015,41.19499969,0.104999542,41.18545428,0.030185246,453.0399971 +2722,MN,924,15,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,321 EAST 18 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,NARESH K JESSANI,1840,3600,850,2750,0,850,0,0,0,0,2,1,3,6,7,20,92,20,51,E,3,N,5,1,54112,262339,2360,2360,1910,0,0, , ,1.96,3,0,3,1,1009240015,0,48,989234,206915,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.4448459,1858.947489,208227,5,0,2723,2723,8,1800,14.83555603,19.18333435,4.34777832,15.69513941,1.425418663,125.5611153 +2723,MN,231,32,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,455 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0,P,455 BROADWAY REALTY,5332,24044,24044,0,19044,5000,0,0,0,0,2,1,5,0,6,48,112.67,48,110,E,3,Y,5,2,468000,4939200,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.51,0,5,6.5,1,1002310032,0,47,983940,201874,12a,Y,101N046,10105, ,0, ,1, , ,17V1.1,0,322.2999084,5539.967813,4471200,0,0,2724,2724,26,5850,12.30000019,12.30000019,0,12.30000019,0,319.800005 +2724,MN,876,7501,106,50,1002,2,2,10003,E014,13,14,5300,1,6, ,7 GRAMERCY PARK WEST,R7B, , , , , , , , ,LH-1,N,RM,4,0, ,7 GRAMMERCY PARK COND,5775,29839,6156,23683,6156,0,0,0,0,0,2,2,7,23,26,52.5,110,0,0, ,0,N,5,5,1238397,4511694,7080,7080,1913,1985,0,Gramercy Park Historic District, ,5.17,3,0,3,1,1008767501,286,50,987850,208219,8d, ,102 045,10307, ,1008760016,3/11/1986,1, , ,17V1.1,7,333.8134222,6132.133772,3273300,5,0,2725,2725,27,6075,31.73777771,34.54888916,2.81111145,31.94206167,0.722398418,862.4356651 +2725,MN,572,29,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,22 WEST 9 STREET,R6, , , , , , , , , ,N,A9,1,0, ,GREENWICH VILLAGE TRU,2350,7100,0,6300,0,0,0,0,0,0,2,1,4,1,1,25.08,93.92,25,68,E,3,N,5,1,55653,174649,0,0,1900,1988,2005,Greenwich Village Historic District, ,3.02,2.43,0,4.8,1,1005720029,0,63,985001,206398,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.6972719,2453.49011,118996,8,0,2726,2726,10,2250,18.70499992,18.70499992,0,18.70499992,0,187.0499992 +2726,MN,826,7501,105,58,1006,2,3,10010,E001,13,15,5700, ,5, ,1107 BROADWAY,C5-2, , , , , , , , , ,N,RM,4,0, , ,22471,282140,20605,261535,0,20605,0,0,0,0,2,1,24,122,123,159.17,192,149,187,E,1,Y,0,5,7380009,55268152,0,0,1915,2008,0, , ,12.56,10,10,10,1,1008267501,2448,58,987137,209868,8d, ,104 001,10306,R-60,1008260037,3/10/2015,1, , ,17V1.1,7,638.4877665,23301.42131,47888100,2,0,2727,2727,102,22950,33.45800018,40.70000076,7.24200058,33.77781943,1.356324862,3445.337582 +2727,MN,527,50,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,176 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,348 EAST REALTY LLC,2600,12106,810,11296,0,810,0,0,0,0,2,1,6,22,24,26,100,26,84, ,3,N,5,2,179550,2042100,0,0,1900,1987,0,Greenwich Village Historic District Exte, ,4.66,3.44,0,6.5,1,1005270050,0,67,983420,204802,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,256.7672658,2606.906087,1862550,9,0,2728,2728,12,2700,15.38333321,18.61333275,3.229999542,15.79472208,0.971026924,189.536665 +2728,MN,564,19,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,827 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,YH BROOME LLC,6230,22254,6374,15880,3187,3187,0,0,0,0,2,2,4,0,10,37.5,116.75,37.5,85, ,3,Y,5,2,408600,2475900,0,0,1910,1986,0, , ,3.57,3.44,6,6.5,1,1005640019,0,61,986622,206587,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,456.5143016,6762.432339,2067300,8,0,2729,2729,29,6525,38.11633301,38.11633301,0,38.11633301,0,1105.373657 +2729,MN,573,70,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,51 WEST 9 STREET,R6, , , , , , , , , ,N,A5,1,0, ,"JUSTINE L. LEGUIZAMO,",1476,3136,0,3136,0,0,0,0,0,0,2,1,4,1,1,16,92.25,16,45, ,2,N,5,2,29369,191664,0,0,1899,2008,0,Greenwich Village Historic District, ,2.12,2.43,0,4.8,1,1005730070,0,63,984827,206666,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,218.6514507,1441.327436,162295,8,0,2730,2730,5,1125,18.98099899,18.98099899,0,18.98099899,0,94.90499496 +2730,MN,768,12,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,245 WEST 18 STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,WEGMAN WILLIAM G,4000,5724,5724,0,0,0,0,5724,0,0,2,1,2,0,2,45.5,90.33,45.5,90,E,3,Y,5,0,225000,500400,0,0,1915,1985,0, , ,1.43,6.02,6,6.5,1,1007680012,0,87,984331,209631,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,263.98048,3771.103411,275400,7,0,2731,2731,17,3825,21.88888931,21.88888931,0,21.88888931,0,372.1111183 +2731,MN,746,57,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,326 WEST 23 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,326 W 23RD STREET PAR,2156,5698,1400,4298,0,1400,0,0,0,0,2,1,4,8,9,21.83,98.75,22,52, ,3,N,5,1,68755,442118,0,0,1900,1984,1987, , ,2.64,4,2,4,1,1007460057,0,93,984348,210876,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,252.0535697,2129.752243,373363,2,0,2732,2732,9,2025,15.97222233,17.8544445,1.882222176,16.56876564,0.844652396,149.1188908 +2732,MN,348,2,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,98 SUFFOLK STREET,C6-2A, , , , , , , , , ,N,C6,2,0,P,"KHOLODNY, PAUL",2530,9519,0,9519,0,0,0,0,0,0,2,1,5,20,20,25.25,100,25,92, ,3,N,5,2,171000,516600,0,0,1920,0,0, , ,3.76,6.02,6,6.5,1,1003480002,0,1402,988098,201008,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,252.3746996,2550.094993,345600,13,0,2733,2733,12,2700,24.76333427,27.74444389,2.981109619,25.12407478,0.87282641,301.4888973 +2733,MN,372,33,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,320 EAST 3 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,N2,8,0,X,ORTHODOX BROTHERHOOD,1425,2823,2823,0,0,0,0,0,0,2823,2,1,3,0,1,19,75,19,40,E,0,N,5,5,232650,1149750,232650,1149750,1900,0,0, , ,1.98,4,0,4,1,1003720033,0,2202,990127,201847,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,196.6149431,1524.846348,917100,1,1,2734,2734,6,1350,10.24333286,10.57688904,0.333556175,10.29892556,0.124309047,61.79355335 +2734,MN,583,8,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,434 HUDSON STREET,C1-6, , , , , , , , , ,N,C6,2,0,P,"434 HUDSON STREET, LL",1635,3672,459,3213,0,459,0,0,0,0,2,1,4,4,5,22,80,22,48, ,3,N,5,2,59061,221018,0,0,1900,0,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1005830008,0,67,982456,205504,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,212.8410419,1781.595668,161957,9,0,2735,2735,8,1800,15.38333321,17.63999939,2.256666183,15.9038887,0.905837606,127.2311096 +2735,MN,175,1,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3A,70 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,D6,4,0,P,70 FRANKLIN PLACE LLC,4308,20500,4000,16500,0,4000,0,0,0,0,2,1,5,7,8,41.92,99.75,42,95, ,2,Y,3,2,496090,1082630,0,0,1915,0,2009,Tribeca East Historic District, ,4.76,6.02,6,6.5,1,1001750001,0,33,983108,200844,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,294.558283,4573.605858,586540,14,0,2736,2736,20,4500,17.40222168,17.40222168,0,17.40222168,0,348.0444336 +2736,MN,836,20,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,17 WEST 34 STREET,C5-3,C6-4.5, , , , ,MID, , , ,Y,O6,5,0,P,17-19 WEST 34TH STREE,16275,193957,193957,0,165007,28950,0,0,0,0,2,1,13,0,39,75,197.5,75,193, ,3,Y,4,2,14760000,30115350,0,0,1907,1929,0, , ,11.92,10,15,15,1,1008360020,0,76,988191,212309,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,635.2427288,18384.25083,15355400,10,0,2737,2737,79,17775,49.62900162,56.06999969,6.440998077,49.80041224,0.946382264,3934.232567 +2737,MN,797,2,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,191 7 AVENUE,R8A,C6-3A, , ,C2-5, , , , , ,Y,K9,5,0, ,191 SEVENTH AVE CORP,9862,61232,33884,27348,2000,11038,0,0,0,20846,2,2,5,22,29,98.75,100,99,98,E,3,Y,5,2,1350000,3038400,0,0,1900,1998,0, , ,6.21,6,0,6,1,1007970002,0,87,985334,209946,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,455.221233,10397.71913,1688400,7,0,2738,2738,45,10125,28.16444397,29.51555443,1.351110458,28.19655011,0.199325897,1268.844755 +2738,MN,236,7501,102,41,5003,2,1,10013,E055,5,15,6800,1,2, ,179 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, ,LI CHUAN XIAN,7279,39814,10635,29179,0,6643,0,3992,0,0,2,1,7,39,40,102.92,72.42,102,72, ,0,Y,0,5,774001,3641852,40234,70723,1990,0,0, , ,5.47,6.02,6,6.5,1,1002367501,815,41,984810,201351,12c, ,101N048,10105, ,1002360012,12/16/1992,1, , ,17V1.1,7,361.595475,7839.363803,2867850,0,0,2739,2739,34,7650,24.0720005,25.46333313,1.391332626,24.22280435,0.397873656,823.5753479 +2739,MN,744,1,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,363 WEST 20 STREET,C2-6A, , , , , , , , , ,N,D4,3,0, ,365 W 20 APTS CORP,4810,62638,2500,60138,0,2500,0,0,0,0,2,1,16,74,76,65,74,65,74, ,2,N,3,2,195300,6800400,54280,54280,1928,1985,0, , ,13.02,4,2,4,1,1007440001,0,89,983606,210582,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,298.9713286,5571.807872,6605100,7,0,2740,2740,26,5850,15.84222221,16.83777809,0.995555878,15.90538465,0.224086479,413.5400009 +2740,MN,458,34,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,30 EAST 2 STREET,C6-2A, , , , , , , , , ,N,B1,1,0, ,30 EAST 2ND ST CORP,1638,4599,0,4599,0,0,0,0,0,0,2,1,4,2,2,20.67,78.5,20.67,78.5, ,3,Y,5,2,30729,72795,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,2.81,6.02,6,6.5,1,1004580034,0,3602,986853,203506,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,199.4008669,1641.126134,42066,1,0,2741,2741,7,1575,37.60888672,37.60888672,0,37.60888672,0,263.262207 +2741,MN,621,66,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,61 CHARLES STREET,R6, , , , , , , , , ,N,C0,2,0, ,"JEFFERY RUBIN, AS TRU",1900,4080,0,3180,0,0,0,0,0,0,2,1,3,3,3,20,95.25,20,53,E,3,N,5,1,50066,217053,1550,1550,1905,1959,2005,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1006210066,0,73,983230,207063,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,236.9234729,1947.272246,166987,8,0,2742,2742,8,1800,24.81222343,26.23999977,1.427776337,25.26263952,0.589768772,202.1011162 +2742,MN,440,7503,103,34,4001,1,2,10009,L011,9,14,6200,4,3, ,431 EAST 12 STREET,R8B, , , , , , , , , ,N,R2,2,0, , ,5810,17611,0,17611,0,0,0,0,0,0,2,1,5,13,13,48,103.25,48,103.25, ,0,N,5,5,196199,1790553,26885,29020,1900,0,0, , ,3.03,4,0,4,1,1004407503,1503,34,989255,205094,12c, ,102 028,10205, ,1004400043,3/2/2006,1, , ,17V1.1,7,355.316555,5990.513726,1594350,12,0,2743,2743,28,6300,16.59444427,16.59444427,0,16.59444427,0,464.6444397 +2743,MN,292,8,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,27 FORSYTH STREET,C6-1G, , , , , , , , , ,N,M1,8,0,P,HELLENIC ORTH CON,4475,16486,16486,0,0,0,0,0,0,16486,2,1,4,0,1,44.75,100,45,100, ,2,N,5,2,422550,982350,422550,982350,1900,1988,0, , ,3.68,3.44,6,6.5,1,1002920008,0,16,985855,199811,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,294.694143,4567.695355,559800,16,0,2744,2744,20,4500,40.24599838,45.9751091,5.729110718,40.53245392,1.248630733,810.6490784 +2744,MN,446,33,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,73 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,73 FIRST AVE RLTY COR,2382,8588,1632,6956,0,1632,0,0,0,0,2,1,5,16,17,24,99.25,24,72, ,3,N,5,2,158400,1362600,0,0,1900,1986,0, , ,3.61,4,0,4,1,1004460033,0,38,987805,203630,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,253.3208632,2461.049204,1204200,1,0,2745,2745,11,2475,28.45888901,28.45888901,0,28.45888901,0,313.0477791 +2745,MN,276,24,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,49 MARKET STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,49 MARKET STREET REAL,2417,4536,4536,0,2268,2268,0,0,0,0,2,1,2,0,2,27,89.5,27,84, ,3,N,5,2,132300,537300,0,0,1915,0,0, , ,1.88,3.44,0,6.5,1,1002760024,0,8,985757,198638,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,237.5603828,2450.569734,405000,16,0,2746,2746,11,2475,23.59300041,28.12700081,4.534000397,24.00518227,1.30343347,264.0570049 +2746,MN,518,8,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,52 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,CHELHAM MANAGEMENT CO,2558,9984,0,9984,0,0,0,0,0,0,2,1,5,20,20,25.58,100,26,93, ,3,N,5,2,1093500,1621350,0,0,1900,0,0,Sullivan-Thompson Historic District, ,3.9,3.44,0,6.5,1,1005180008,0,49,983589,204276,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,267.0112297,2795.089688,527850,9,0,2747,2747,13,2925,20.52111053,24.77777863,4.256668091,21.09649526,1.364529296,274.2544384 +2747,MN,140,29,101,21,2000,2,1,10013,E007,1,15,7700,1,1,3A,135 READE STREET,C6-3A, , , , , ,TMU, , , ,N,S4,4,0, ,BRUCE N BARASKY,1875,4761,1850,2911,0,1850,0,0,0,0,2,1,3,4,5,25.08,76,25,72, ,3,Y,5,5,288575,410277,0,0,1920,1985,0, , ,2.54,7.52,6,7.5,1,1001400029,0,21,981547,200216,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,201.0629826,1853.738207,121702,14,0,2748,2748,8,1800,18.1439991,18.70666695,0.562667847,18.21433258,0.186084899,145.7146606 +2748,MN,285,7,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,191 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,KYRA GROUP INC,2188,9810,1700,8110,0,1700,0,0,0,0,2,1,6,22,24,25,87.5,25,74, ,3,N,5,2,135000,681750,0,0,1900,0,0, , ,4.48,3.44,0,6.5,1,1002850007,0,6,987588,199319,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,226.9485822,2230.783436,546750,13,0,2749,2749,8,1800,23.9640007,24.40333366,0.439332962,24.01891732,0.14529572,192.1513386 +2749,MN,626,10,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,58 HORATIO STREET,R6,C1-6, , , , , , , , ,Y,B1,1,0, ,J & A REALTY L P,996,2052,0,1539,0,0,0,0,0,0,2,1,2,2,2,19.92,50,19.92,30,E,3,N,5,1,28970,128563,0,0,1899,0,0,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1006260010,0,79,982568,208377,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,139.221951,926.5457423,99593,8,0,2750,2750,3,675,15.42222214,15.42222214,0,15.42222214,0,46.26666641 +2750,MN,769,7507,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,234 WEST 20 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,1997,8288,0,8288,0,0,0,0,0,0,2,1,5,9,9,22,90.58,22,52, ,0,Y,5,5,44110,484552,2360,2360,1929,0,0, , ,4.15,4,0,4,1,1007697507,1339,87,984591,209876,8d, ,103 034,10304, ,1007690057,2/27/2004,1, , ,17V1.1,7,234.9826778,2141.632758,440442,7,0,2751,2751,9,2025,21.88888931,21.88888931,0,21.88888931,0,197.0000038 +2751,MN,435,22,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,116 ST MARKS PLACE,R8B, , , , , , , , , ,N,S5,4,0, ,116 SAINT MARKS PLACE,1729,5479,1200,4279,0,1200,0,0,0,0,2,1,4,6,7,19.58,97.5,20,72, ,3,Y,5,2,18143,154456,0,0,1900,1985,0, , ,3.17,4,0,4,1,1004350022,0,32,988635,204103,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,239.508531,1712.540169,136313,12,0,2752,2752,7,1575,18.46888924,18.46888924,0,18.46888924,0,129.2822247 +2752,MN,281,49,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,31 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,SZE KONG REALTY CORP,1772,7100,4260,2840,2840,1420,0,0,0,0,2,1,5,2,4,25.58,69.5,26,56, ,3,N,5,2,157500,531450,0,0,1900,0,0, , ,4.01,3.44,6,6.5,1,1002810049,0,8,985362,199396,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,192.0277208,1801.414124,373950,16,0,2753,2753,10,2250,35.10200119,40.85889053,5.756889343,36.22371216,2.244402506,362.2371216 +2753,MN,802,49,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,104 WEST 27 STREET,C6-4X,M1-6, , , , , , , , ,Y,O6,5,0,P,104 WEST 27TH STREET,5925,65680,65680,0,59800,5880,0,0,0,0,2,1,12,0,9,60,98.75,60,98, ,0,N,5,5,1080000,5727600,0,0,1909,0,0, , ,11.09,10,10,10,1,1008020049,0,95,986556,210873,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,323.7917077,6101.038289,4647600,2,0,2754,2754,27,6075,38.26699829,41.08189011,2.814891815,38.67724963,0.929387081,1044.28574 +2754,MN,405,58,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,507 EAST 11 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C4,2,0,C,HOUSING PRESERVATION,2581,6483,0,6483,0,0,0,0,0,0,2,1,5,7,7,25,103.25,25,92,E,3,N,5,2,103045,395855,103045,395855,1910,1985,0, , ,2.51,4,0,4,1,1004050058,0,34,989465,204668,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,261.5473348,2624.075342,292810,12,0,2755,2755,13,2925,13.81444454,17.34777832,3.533333778,15.02021379,1.543990139,195.2627792 +2755,MN,362,1,103,24,1007,1,2,10009,L011,9,14,6300,1,3,4A,134 AVENUE D,R7-2, , , , , , , , , ,N,D6,4,0,O,NYC HOUSING AUTHORITY,258600,458591,620,457971,0,620,0,0,0,0,2,6,6,586,590,487,596,170,90, ,1,Y,3,5,8549550,31368600,8549550,31368600,1948,0,0, , ,1.77,3.44,0,6.5,1,1003620001,0,24,991053,202591,12c, ,102 016,10202, ,0, ,1,1,1,17V1.1,0,2078.797663,258372.5691,22819100,12,1,2756,2756,1145,257625,7.199999809,13.09777832,5.897778511,9.868411208,1.190075799,11299.33083 +2756,MN,885,59,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,138 EAST 30 STREET,R8B, , , , , , , , , ,N,S2,4,0,P,SARA'S STUDIOS LLC,1234,3250,650,2600,0,650,0,0,0,0,2,1,4,2,3,12.5,98.75,12.5,50, ,2,N,5,5,142551,170864,0,0,1899,0,0, , ,2.63,4,0,4,1,1008850059,0,72,989468,210143,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,227.0003613,1289.861562,28313,10,0,2757,2757,6,1350,30.56200027,30.56200027,0,30.56200027,0,183.3720016 +2757,MN,476,19,102,47,2001,2,3,10013,L008,1,15,6800,1,2,1A,116 AVENUE OF THE AMER,M1-5B, , , , , , , , , ,N,C7,4,0, ,"NADCO ASSOCIATES,",4735,28042,5507,22535,0,5507,0,0,0,0,2,1,6,35,40,63.42,72.17,63,70, ,3,Y,3,2,393750,4757400,0,4191637,1900,2015,0,Sullivan-Thompson Historic District, ,5.92,0,5,6.5,1,1004760019,0,47,983059,202982,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,288.7805485,5130.127907,4363650,0,1,2758,2758,23,5175,9.686666489,12.6422224,2.955555916,10.1955554,0.999503342,234.4977741 +2758,MN,271,34,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,203 MADISON STREET,R7-2, , , , , , , , , ,N,S5,4,0,P,WEISHENG ENTERPRISES,1587,4124,900,3224,0,900,0,0,0,0,2,1,4,6,7,34.25,46,34,30, ,0,Y,5,5,165745,464616,0,0,1997,0,0, , ,2.6,3.44,0,6.5,1,1002710034,0,6,987116,198985,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,170.0116321,1750.124766,298871,16,0,2759,2759,6,1350,20.82299995,24.61400032,3.791000366,21.95462958,1.616623845,131.7277775 +2759,MN,519,62,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,35 CHARLTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,35 CHARLTON STREET LL,2000,3200,0,3200,0,0,0,0,0,0,2,1,4,2,2,19.92,100.42,19.92,40,E,3,N,5,1,33536,131880,0,0,1800,0,0,Charlton-King-Vandam Historic District, ,1.6,2.43,0,4.8,1,1005190062,0,37,982971,204249,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,240.1326623,1929.267873,98344,0,0,2760,2760,8,1800,16.83888817,19.68000031,2.841112137,17.59819436,0.973501526,140.7855549 +2760,MN,418,43,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,293 BROOME STREET,C4-4A, , , , , , , , , ,N,S0,4,0,P,"OGUST, RICHARD",1918,3546,1182,2364,0,1182,0,0,0,0,2,1,4,1,3,21.92,87.5,21.92,40, ,3,N,5,2,22660,41811,8450,8450,1899,2008,2008, , ,1.85,4,4,4,1,1004180043,0,18,986459,201033,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,224.8837183,1932.342001,19151,13,0,2761,2761,9,2025,37.89666748,41.77999878,3.883331299,39.11135864,1.722724313,352.0022278 +2761,MN,201,32,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,66 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,B & L REALTY LLC,2260,9040,1808,7232,0,1808,0,0,0,0,2,2,5,22,23,23.5,100.33,24,100, ,3,Y,5,2,136350,382500,0,0,1890,1984,0, , ,4,3.44,6,6.5,1,1002010032,0,29,984816,200013,12c,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,251.505552,2422.322817,246150,14,0,2762,2762,10,2250,33.0379982,33.0379982,0,33.0379982,0,330.379982 +2762,MN,588,7501,102,73,3003,2,3,10014,E024,6,15,6400,2,2, ,312 BLEECKER STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,3320,6507,2570,3937,0,2570,0,0,0,0,2,2,4,6,8,40,83,40,40.83, ,0,N,5,5,292952,1294465,0,0,1920,0,0,Greenwich Village Historic District, ,1.96,3.44,2,6.5,1,1005887501,755,73,983105,206232,12a, ,103 004,10208, ,1005880020,3/18/1991,1, , ,17V1.1,7,259.0321985,3718.529167,1001510,9,0,2763,2763,17,3825,22.65500069,25.12111092,2.466110229,23.39330101,0.835512068,397.6861172 +2763,MN,828,22,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,15 WEST 26 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,MESA REALTY ASSOCIATE,4400,45309,42009,3300,37785,4224,0,0,0,0,2,1,12,2,17,44,98.75,44,96, ,3,Y,5,2,1980000,4223250,0,0,1910,1988,2011,Madison Square North Historic District, ,10.3,0,10,10,1,1008280022,0,58,987164,210418,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,279.8969146,4193.548639,2243250,2,0,2764,2764,19,4275,42.13444519,43.98555374,1.851108551,42.23187196,0.413346761,802.4055672 +2764,MN,609,49,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,107 WEST 13 STREET,R6, , , , , , , , , ,N,G1,10,0, ,107 WEST 13TH STREETL,4000,21400,21400,0,0,0,21400,0,0,0,2,1,7,0,1,40,100,40,84, ,2,N,5,1,450000,1784700,0,0,1928,1986,0,Greenwich Village Historic District, ,5.35,2.43,0,4.8,1,1006090049,0,71,984872,207819,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,286.2520674,4192.034717,1334700,8,0,2765,2765,19,4275,25.65555573,25.65555573,0,25.65555573,0,487.4555588 +2765,MN,515,4,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,459 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D4,3,0,P,457-461 LOFT SPACES I,7500,40180,3400,36780,0,3400,0,0,0,0,2,1,6,10,13,75,100,75,91, ,2,N,5,2,535500,5597100,0,0,1920,1986,2015,SoHo-Cast Iron Historic District, ,5.36,0,5,6.5,1,1005150004,0,49,984185,203823,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,356.4992186,7721.977835,5061600,9,0,2766,2766,34,7650,20.20444489,23.09777641,2.893331528,20.37569646,0.6270587,692.7736797 +2766,MN,525,53,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,500 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,"500 LAGUARDIA PLACE,",1875,5675,928,4747,0,928,0,0,0,0,2,2,5,4,5,25,75,25.83,37, ,3,N,5,5,249404,474375,0,0,1900,0,0,South Village Historic District, ,3.03,3.44,0,6.5,1,1005250053,0,65,984331,204346,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,206.9006937,1998.181622,224971,9,0,2767,2767,9,2025,23.62666702,23.64355469,0.016887665,23.62854343,0.005307281,212.6568909 +2767,MN,424,31,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,133 CHRYSTIE STREET,C6-3A,C6-1G, , , , , , , , ,Y,L8,6,0, ,WO SOON INC,2967,11324,8538,2786,0,0,0,0,5571,2967,2,1,4,1,4,23.5,126.25,24,122, ,3,Y,5,2,216000,709200,0,0,1900,0,0, , ,3.82,7.52,6,7.5,1,1004240031,0,18,986046,201436,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,303.9415662,2985.392428,493200,13,0,2768,2768,12,2700,35.63777924,35.63777924,0,35.63777924,0,427.6533508 +2768,MN,719,37,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,403 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,C6,2,0, ,CHELSEA MORNING APT.C,2100,8280,0,8280,0,0,0,0,0,0,2,1,5,10,10,27,81.5,24,68, ,2,Y,5,2,72298,372721,4720,4720,1900,0,0,Chelsea Historic District, ,3.94,3,0,3,1,1007190037,0,89,983547,210896,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,221.2418657,2176.786944,300423,7,1,2769,2769,10,2250,9.307999611,14.09955597,4.791556358,9.787155247,1.437466908,97.87155247 +2769,MN,646,43,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,400 WEST 14 STREET,M1-5, , , , , , , , , ,N,L8,6,0, ,SAAB ASSOCIATES,5162,24000,24000,0,5000,4000,0,0,0,15000,2,1,5,7,10,50,103.25,50,103.25,E,3,N,3,2,832500,8865900,0,0,1910,0,0,Gansevoort Market Historic District, ,4.65,0,5,6.5,1,1006460043,0,79,982649,209171,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,309.2281866,5235.882109,8033400,8,1,2770,2770,24,5400,12.05555534,15.93555546,3.880000114,12.21722202,0.775326119,293.2133284 +2770,MN,426,34,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,187 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,C7,4,0, ,NATASHA REALTY ASSOCI,2483,8540,750,7790,0,750,0,0,0,0,2,1,5,15,17,25,99.33,25,68, ,3,N,5,1,89550,890550,0,0,1900,2015,0, , ,3.44,7.52,6,7.5,1,1004260034,0,3601,986382,202256,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,256.0728118,2575.918162,801000,13,0,2771,2771,11,2475,41.51444626,46.24000168,4.72555542,42.35575936,1.785187075,465.913353 +2771,MN,884,66,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,132 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S2,4,0, ,LEXINGTON 132 REALTY,1316,4896,1224,3672,0,1224,0,0,0,0,2,1,4,2,3,16.25,81,16.25,52, ,0,N,5,5,139302,168768,0,0,1910,2005,0, , ,3.72,6.02,6,6.5,1,1008840066,0,72,989117,210013,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,197.5398833,1294.063749,29466,11,0,2772,2772,6,1350,32.07600021,32.07600021,0,32.07600021,0,192.4560013 +2772,MN,350,77,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,182 STANTON STREET,R7A, , , , , , , , , ,N,C4,2,0,P,182 STANTON LLC,1703,7636,0,7636,0,0,0,0,0,0,2,1,6,8,8,26,65.5,26,56, ,3,N,5,2,116891,451779,0,0,1920,1985,2011, , ,4.48,4,0,4,1,1003500077,0,2201,988738,201661,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,184.0514561,1743.645133,334888,1,0,2773,2773,6,1350,21.35555649,21.35555649,0,21.35555649,0,128.1333389 +2773,MN,308,27,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,41 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,"81-85 HESTER REALTY,",1481,8004,2668,5336,0,2668,0,0,0,0,2,1,5,10,11,23.33,63.5,23,63, ,3,N,3,2,101250,756450,0,0,1910,2003,0, , ,5.4,6.02,6,6.5,1,1003080027,0,16,986646,200207,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,173.1443928,1493.84364,655200,13,0,2774,2774,7,1575,36.62400055,36.76022339,0.136222839,36.64346095,0.047668064,256.5042267 +2774,MN,309,8,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,58 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,58 ORCHARD REALTY COR,2187,9357,3200,6157,0,3200,0,0,0,0,2,1,6,16,18,25,87.5,25,73, ,3,N,5,2,111600,448200,0,0,1910,1971,0, , ,4.28,6.02,6,6.5,1,1003090008,0,16,986825,200386,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.3525003,2183.71329,336600,13,0,2775,2775,9,2025,34.44444275,34.44444275,0,34.44444275,0,309.9999847 +2775,MN,635,7501,102,79,3004,2,3,10014,L005,6,15,6100,3,2, ,35 BETHUNE STREET,R6,C1-6A, , , , , , , , ,Y,R4,3,0,P,PICKWICK HOUSE INC,5260,30113,0,30113,0,0,0,0,0,0,2,1,6,24,24,66,99.83,0,0, ,0,Y,5,5,773998,3349353,44384,49025,1930,0,0,Greenwich Village Historic District, ,5.72,2.43,0,4.8,1,1006357501,158,79,982125,207709,12a, ,103 013,10210, ,1006350999,12/12/1984,1, , ,17V1.1,7,293.8061006,5315.073894,2575360,8,0,2776,2776,24,5400,13.34599972,14.44999981,1.104000092,13.46736089,0.291670197,323.2166615 +2776,MN,910,43,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,236 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"HSU, JONATHAN K",1626,3240,0,2430,0,0,0,0,0,0,2,1,2,3,3,18,98.75,18,45, ,3,Y,5,1,86608,149299,0,0,1901,0,0, , ,1.99,3,0,3,1,1009100043,0,70,990163,209760,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,235.4941929,1632.118537,62691,10,0,2777,2777,7,1575,34.37666702,38.29555511,3.918888092,34.93650818,1.371325169,244.5555573 +2777,MN,744,22,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,329 WEST 20 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,BEN-ZION,1104,2460,0,1968,0,0,0,0,0,0,2,1,4,2,2,12.33,92,12.33,52, ,3,Y,5,1,40628,107017,3380,3380,1910,0,0,Chelsea Historic District, ,2.23,3,0,3,1,1007440022,0,89,983939,210406,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,208.5597861,1051.212957,66389,7,0,2778,2778,5,1125,15.84222221,19.77777672,3.935554504,17.84044418,1.679991,89.20222092 +2778,MN,404,37,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,337 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,PARK EAST TENTH LLC,2369,6890,1200,5690,0,1200,0,0,0,0,2,1,5,8,10,25,94.75,25,78, ,3,N,5,2,33991,112944,0,0,1900,1986,0,East 10th Street Historic District, ,2.91,4,0,4,1,1004040037,0,34,989736,204227,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,243.2458919,2344.591826,78953,12,1,2779,2779,10,2250,12.53199959,13.89000034,1.358000755,13.07519989,0.665281784,130.7519989 +2779,MN,132,27,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,73 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0, ,"73 WARREN STREET, LLC",1881,11760,3000,8760,0,3000,0,0,0,0,2,1,6,6,7,25.08,75,25,76, ,3,N,5,2,192189,567168,0,0,1930,1976,2013, , ,6.25,6.02,6,6.5,1,1001320027,0,21,981418,199761,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,206.8438724,2012.973681,374979,3,0,2780,2780,9,2025,17.78899956,20.84555626,3.056556702,18.44181463,1.222590426,165.9763317 +2780,MN,738,80,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,56 9 AVENUE,C6-2A, , , , , , , , , ,N,K2,5,0, ,56 NINTH AVENUE LLC,1750,3372,3372,0,0,3372,0,0,0,0,2,1,3,0,1,17.5,100,18,96,E,3,N,5,2,82350,1378350,0,0,1910,0,0,Gansevoort Market Historic District, ,1.93,6.02,6,6.5,1,1007380080,0,83,982928,209318,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,243.1081413,1778.964732,1296000,7,0,2781,2781,8,1800,16.15333366,17.21222305,1.058889389,16.28569484,0.350194749,130.2855587 +2781,MN,215,7504,101,39,1019,2,1,10013,L008,1,15,7700,3,1, ,415 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,415 GREENWICH FEE OWN,22329,176493,20814,155679,0,5040,15774,0,0,0,2,1,10,63,65,175.92,125.33,173,125, ,2,Y,0,5,3015003,19383754,0,0,1913,2000,0,Tribeca North Historic District, ,7.9,6.02,6,6.5,1,1002157504,1849,39,981618,202236,12a, ,11N 040,10105, ,1002150005,12/7/2009,1, , ,17V1.1,7,635.5653896,24588.70848,16368800,14,1,2782,2782,110,24750,12.05799961,12.05799961,0,12.05799961,0,1326.379957 +2782,MN,464,47,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,25 ST MARKS PLACE,R8B, , , , , , , , , ,N,S9,4,0,P,"K-MARKS REALTY, LLC",2934,9659,4773,4886,0,4773,0,0,0,0,2,1,4,3,5,26,112.83,26,102, ,3,N,5,5,384745,1031754,0,26676,1920,2002,0, , ,3.29,4,0,4,1,1004640047,0,38,987455,204937,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,289.962736,3325.177037,647009,12,0,2783,2783,14,3150,32.10889053,35.71221924,3.603328705,32.5726362,1.1439311,456.0169067 +2783,MN,384,7,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,11 AVENUE B,R8A, , , , , , , , , ,N,C7,4,0,P,N Y C REALTY CORP,1586,6000,1000,5000,0,1000,0,0,0,0,2,1,5,8,9,19.83,80,20,58, ,3,N,5,2,19987,81315,0,0,1900,0,0, , ,3.78,6,0,6,1,1003840007,0,2202,988863,202223,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,202.9459679,1635.070511,61328,1,0,2784,2784,8,1800,18.08333397,21.48555565,3.40222168,18.91894484,1.401368193,151.3515587 +2784,MN,502,14,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,114 THOMPSON STREET,R7-2, , , , , , , , , ,N,D1,3,0, ,WAMU SHAMU LLC,2925,9332,0,9332,0,0,0,0,0,0,2,1,5,20,20,37.92,77.17,38,60.67, ,3,N,5,1,279000,1649250,0,0,1920,1961,0,Sullivan-Thompson Historic District, ,3.19,3.44,0,6.5,1,1005020014,0,49,983804,203698,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,232.7411729,3040.567385,1370250,0,0,2785,2785,14,3150,12.81888866,17.73999977,4.921111107,13.56619031,1.505962755,189.9266644 +2785,MN,508,6,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,256 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C8,2,0, ,14 WARD INDUSTRIAL BL,3738,13522,0,13522,0,0,0,0,0,0,2,1,4,5,5,40.58,90,40,85,E,3,Y,5,2,46265,511422,5130,5130,1925,1985,2006, ,FOURTEENTH WARD INDUSTRIAL SCHOOL,3.62,6.02,6,6.5,1,1005080006,0,43,985795,202881,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,269.6186001,3872.525788,465157,9,0,2786,2786,18,4050,43.67333603,45.09488678,1.421550751,44.6360302,0.265911714,803.4485435 +2786,MN,607,45,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,469 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,"TT NEW YORK, LP",1200,2916,1404,1512,0,1062,0,342,0,0,2,1,3,2,3,20,60,20,59, ,3,N,5,5,48542,104509,0,0,1910,0,0,Greenwich Village Historic District, ,2.43,3.44,2,6.5,1,1006070045,0,71,984699,207311,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,159.6521471,1130.843909,55967,8,0,2787,2787,6,1350,21.80333328,21.80333328,0,21.80333328,0,130.8199997 +2787,MN,607,43,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,473 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,SOLTAR REAL ESTATE IN,1457,3902,1210,2692,0,1210,0,0,0,0,2,1,3,2,3,20,77.5,20,40, ,3,Y,5,5,59431,139345,0,0,1910,0,0,Greenwich Village Historic District, ,2.68,3.44,2,6.5,1,1006070043,0,71,984712,207349,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,196.9896838,1497.033706,79914,8,0,2788,2788,7,1575,21.80333328,21.80333328,0,21.80333328,0,152.623333 +2788,MN,722,77,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,252 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S3,4,0, ,"ORGA, LLC",1383,3987,950,3037,0,950,0,0,0,0,2,1,4,3,4,19.75,70,20,49, ,3,N,5,5,65620,151999,0,0,1910,0,0, , ,2.88,3,0,3,1,1007220077,0,93,983379,212021,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,183.0439719,1383.297669,86379,2,1,2789,2789,6,1350,10.68099976,11.46555614,0.784556389,10.81175915,0.292386903,64.87055492 +2789,MN,550,22,102,59,2000,2,1,10003,E033,6,15,5700,1,2,2A,1 5 AVENUE,R10, , , , , , , , , ,N,D4,3,0, ,ONE FIFTH AVE APT COR,12000,238923,11000,227923,0,11000,0,0,0,0,2,1,27,198,200,120,100,120,100, ,3,N,3,2,1057500,28399050,358480,358480,1927,1988,0,Greenwich Village Historic District, ,19.91,10,0,10,1,1005500022,0,59,985305,205930,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,445.835718,12291.62765,27341600,8,0,2790,2790,55,12375,26.29888916,27.80333328,1.504444122,26.37333762,0.283341135,1450.533569 +2790,MN,575,127,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,56 WEST 12 STREET,R6, , , , , , , , , ,N,C2,2,0, ,20 CHARLES STREET LLC,1995,4169,0,4169,0,0,0,0,0,0,2,1,3,6,6,19.33,103.25,19,40, ,3,N,5,5,148166,555621,0,0,1920,0,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1005750127,0,63,985169,207167,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,254.1209694,2190.800337,407455,8,0,2791,2791,9,2025,24.42399979,25.62666702,1.202667236,24.55762948,0.377961848,221.0186653 +2791,MN,516,35,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,454 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,TRISTAR ASSOCIATES LL,1875,3600,3600,0,0,3600,0,0,0,0,2,1,2,0,2,25,75,25,72, ,3,N,5,2,337500,2354400,0,0,1910,2010,0,SoHo-Cast Iron Historic District Extensi, ,1.92,0,5,6.5,1,1005160035,0,49,984010,203848,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,200.3795124,1876.706457,2016900,9,0,2792,2792,8,1800,17.67111206,17.67111206,0,17.67111206,0,141.3688965 +2792,MN,766,30,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,217 WEST 16 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,BALANCE PROPERTY LLC,4600,18030,500,17530,0,500,0,0,0,0,2,2,5,59,60,50,92,25,80, ,3,N,5,2,270000,2456550,0,0,1930,0,0, , ,3.92,4,0,4,1,1007660030,0,81,984412,209027,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,292.7140186,4911.385972,2186550,7,0,2793,2793,21,4725,21.88888931,21.88888931,0,21.88888931,0,459.6666756 +2793,MN,874,25,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,133 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,TOWLES AMOR,2024,5148,0,3960,0,0,0,0,0,0,2,1,3,1,1,22,92,22,60, ,3,Y,5,1,119803,266025,0,0,1899,2005,0,Gramercy Park Historic District, ,2.54,4,0,4,1,1008740025,0,50,988035,207581,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,234.232935,2109.756257,146222,5,0,2794,2794,10,2250,27.68333435,31.54177666,3.858442307,29.28495579,1.676257635,292.8495579 +2794,MN,194,42,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,60 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,O4,5,0, ,401 BROADWAY BUILDING,10477,230139,230139,0,223139,7000,0,0,0,0,2,1,26,0,171,53.75,153.33,54,153, ,3,Y,3,2,2979000,24511950,0,0,1930,1989,0,Tribeca East Historic District, ,21.97,6.02,6,6.5,1,1001940042,0,33,983478,201192,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,529.6668209,11714.50108,21533000,14,0,2795,2795,52,11700,12.8255558,16.36111069,3.535554886,13.01762414,0.778379863,676.9164553 +2795,MN,744,18,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,337 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,337 WEST 20TH STREET,2300,6900,0,6900,0,0,0,0,0,0,2,2,4,12,12,25,92,25,41, ,3,N,5,5,171000,691200,14160,14160,1850,1987,0,Chelsea Historic District, ,3,3,0,3,1,1007440018,0,89,983858,210451,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,235.7463824,2315.004875,520200,7,0,2796,2796,11,2475,15.84222221,18.96444511,3.1222229,16.57909099,1.089041527,182.3700008 +2796,MN,231,30,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,459 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"THE DEVLIN BUILDING,",5385,29415,29415,0,21200,8215,0,0,0,0,2,1,5,0,8,47.33,112.17,47,112, ,3,Y,3,2,553500,11290500,0,0,1915,1999,0,SoHo-Cast Iron Historic District, ,5.46,0,5,6.5,1,1002310030,0,47,983965,201916,12c,Y,101N046,10105, ,0, ,1, , ,17V1.1,0,354.4242641,6088.373568,10737000,0,0,2797,2797,26,5850,12.30000019,19.65222168,7.352221489,13.50354712,2.447273594,351.0922251 +2797,MN,822,62,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,38 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,JACK VOGEL ASSOCIATES,6166,68808,68808,0,62508,6300,0,0,0,0,2,1,12,0,19,67.17,92,67,82, ,3,N,5,2,855000,8378100,0,0,1908,1987,0,Ladies' Mile Historic District, ,11.16,10,10,10,1,1008220062,0,54,986284,209217,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,318.0653906,6147.957164,7523100,7,0,2798,2798,27,6075,34.23199844,38.70999908,4.478000641,34.55670632,1.148303446,933.0310707 +2798,MN,149,3,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,79 CHAMBERS STREET,C6-4A,C6-3A, , , , ,TMU, , , ,Y,K2,5,0, ,THE 79 COMPANY LLC,9385,16500,16500,0,4500,12000,0,0,0,0,2,1,2,0,8,49.92,150.5,50,150, ,3,Y,4,2,504000,2287800,0,0,1920,0,0,Tribeca South Historic District, ,1.76,10,10,10,1,1001490003,0,21,982389,199690,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,461.0933579,9516.51173,1783800,14,0,2799,2799,43,9675,29.82299995,32.06000137,2.237001419,29.98692761,0.545078524,1289.437887 +2799,MN,801,1,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,275 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0,P,275 SEVENTH AVENUE BU,22732,548680,548680,0,533680,15000,0,0,0,0,2,1,27,0,50,197.5,115.17,196,110, ,2,Y,3,2,8820000,50372550,0,0,1928,1985,0, , ,24.14,0,10,10,1,1008010001,0,91,985868,210899,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,645.1438124,24309.05419,41552600,2,0,2800,2800,108,24300,32.50999832,36.24888992,3.738891602,32.70765177,0.719283751,3532.426392 +2800,MN,830,11,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,47 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,"47 W 28TH STREET, LLC",2116,8743,3965,4778,1333,2632,0,0,0,0,2,1,4,2,8,21.33,98.75,21,96,E,3,N,5,1,276750,538200,0,0,1920,2003,0, , ,4.13,0,10,10,1,1008300011,0,76,987094,211049,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,241.3467523,2123.546193,261450,2,0,2801,2801,9,2025,44.71766663,44.93099976,0.21333313,44.90729607,0.067044135,404.1656647 +2801,MN,514,3,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,138 WOOSTER STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,138 WOOSTER ST CORP,2500,9925,2450,7475,0,2450,0,0,0,0,2,1,5,3,5,25,100,25,98,E,3,N,5,2,337500,1476900,0,0,1920,2014,0,SoHo-Cast Iron Historic District, ,3.97,0,5,6.5,1,1005140003,0,49,984375,203655,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,254.9566878,2561.966162,1139400,9,0,2802,2802,12,2700,22.59666634,24.27555466,1.678888321,22.7365737,0.464020219,272.8388844 +2802,MN,283,30,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,149 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,EB 149 CORP,2188,8328,2100,6228,0,2100,0,0,0,0,2,1,5,4,5,25,87.5,25,73,E,3,N,5,5,184703,245005,0,0,1920,1989,0, , ,3.81,3.44,0,6.5,1,1002830030,0,6,986749,199319,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,225.233144,2228.630409,60302,16,0,2803,2803,9,2025,31.39800072,35.24888992,3.850889206,31.8258773,1.21021772,286.4328957 +2803,MN,825,56,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1B,14 WEST 24 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,"JLJ, LLC",5289,26600,26600,0,22200,4400,0,0,0,0,2,1,6,0,3,57.08,98.75,57,99, ,2,Y,5,2,585000,3525300,0,0,1910,0,0,Ladies' Mile Historic District, ,5.03,0,10,10,1,1008250056,0,58,986832,209843,8d, ,104 001,10306, ,0, ,1, , 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026,10205, ,0, ,1, , ,17V1.1,0,245.0928433,1705.401474,65880,12,0,2827,2827,9,2025,28.72333336,35.59666824,6.873334885,30.90234587,2.60005552,278.1211128 +2827,MN,519,60,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,31 CHARLTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,31 CHARLTON LLC,2025,2880,0,2160,0,0,0,0,0,0,2,1,3,2,2,20.17,100.42,19.83,36, ,2,N,5,1,19211,155807,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.42,2.43,0,4.8,1,1005190060,0,37,983010,204244,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,240.3276968,1939.124261,136596,0,0,2828,2828,9,2025,16.83888817,21.86666679,5.027778625,19.73469077,2.206921619,177.6122169 +2828,MN,899,23,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,241 EAST 18 STREET,R7B,R9A,R7-2, , , , , , , ,Y,C5,2,0, ,241 EAST 18TH STREET,2350,4940,0,4940,0,0,0,0,0,0,2,1,4,7,7,23.5,100,24,63,E,2,N,5,2,86441,407421,0,0,1913,1959,0, , ,2.1,3,0,3,1,1008990023,0,48,988826,207147,12c, ,102 047,10308, ,0, ,1, , 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,17V1.1,0,302.6766249,5134.15326,1589850,8,0,2831,2831,23,5175,24.70777702,28.36777878,3.660001755,25.15420225,1.154346371,578.5466518 +2831,MN,445,36,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,51 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,YAU'S LCC,2400,8324,1560,6764,0,1560,0,0,0,0,2,1,5,12,13,24,100,24,74, ,3,N,5,2,225000,1249650,0,0,1900,1966,0, , ,3.47,4,0,4,1,1004450036,0,38,987672,203389,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,252.9235955,2421.150157,1024650,1,0,2832,2832,11,2475,29.97444344,29.97444344,0,29.97444344,0,329.7188778 +2832,MN,254,1,103,8,6017,2,1,10002,E009,5,14,7800,1,3,1A,166 MARKET STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,41798,0,0,0,0,0,0,0,0,0,7,1,1,0,0,123.92,242.58,0,20.58, ,0,Y,3,5,1233000,1503000,1233000,1503000,0,0,0, , ,0,0,0,0,1,1002540001,0,8,986019,198267,12d, ,101N053,10106, ,0, ,1, ,1,17V1.1,0,1091.513641,41907.24845,270000,16,1,2833,2833,186,41850,10.13211155,25.23444366,15.10233212,15.2804367,3.26115179,2842.161226 +2833,MN,147,7505,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,129 DUANE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,4397,19830,3330,16500,0,980,0,0,0,2350,2,1,5,7,9,0.1,0,0,0, ,0,N,0,5,213490,2160745,33509,288670,1915,0,0,Tribeca South Historic District, ,4.51,6.02,6,6.5,1,1001477505,989,33,982253,200292,12a, ,11S 036,10104, ,1001470001,12/24/1997,1, , ,17V1.1,7,419.0803602,4699.362844,1947260,14,0,2834,2834,20,4500,12.94333363,19.26666641,6.323332787,13.25950027,1.37813843,265.1900053 +2834,MN,228,7501,102,47,2008,2,1,10013,L008,1,15,6800,1,2, ,3 WOOSTER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5188,27572,6649,20923,0,6649,0,0,0,0,2,1,7,11,13,65.02,100,0,0, ,0,Y,0,5,515249,3826350,0,0,2003,0,0,SoHo-Cast Iron Historic District, ,5.31,0,5,6.5,1,1002287501,1432,47,983190,202078,12a, ,101N045,10105, ,1002280041,5/12/2005,1,1,1,17V1.1,7,320.9491331,5358.952836,3311100,0,1,2835,2835,24,5400,9.686666489,9.924333572,0.237667084,9.696569284,0.047492137,232.7176628 +2835,MN,187,7503,101,39,4003,2,1,10013,E007,1,15,7700,3,1, ,111 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4640,27866,8376,19490,0,8376,0,0,0,0,2,1,6,9,10,50.08,100.67,50,100,E,3,Y,0,5,109446,1098291,0,0,1910,1963,0,Tribeca West Historic District, ,6.01,6.02,6,6.5,1,1001877503,1925,39,981765,201480,12a, ,11S 037,10105, ,1001870027,11/12/2008,1, , ,17V1.1,7,307.3145044,4682.507316,988845,14,0,2836,2836,21,4725,17.89999962,18.13333321,0.233333588,17.91111074,0.049690454,376.1333256 +2836,MN,231,40,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,441 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,441 BROADWAY LLC,2616,11400,11400,0,9200,2200,0,0,0,0,2,1,5,0,5,25,105,25,96,E,3,Y,5,2,205200,3403800,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.36,0,5,6.5,1,1002310040,0,47,983842,201714,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,265.260551,2681.511949,3198600,0,0,2837,2837,12,2700,12.30000019,12.30000019,0,12.30000019,0,147.6000023 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+2839,MN,29,36,101,9,1006,2,1,10004,L015,1,15,7700,1,1,1B,1 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,O3,5,0,P,INTESA SANPAOLO S.P.A,8409,105000,105000,0,105000,0,0,0,0,0,2,1,12,0,4,92.08,94.75,92,88, ,1,Y,1,1,3312000,8023500,0,0,1907,1983,0, ,J. & W. SELIGMAN & COMPANY BUILDING,12.49,10,15,15,1,1000290036,0,9,981469,196050,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,395.6063738,9391.005164,4711500,17,1,2840,2840,43,9675,12.42333317,14.06333351,1.640000343,13.27926902,0.183289135,571.0085678 +2840,MN,173,31,101,33,1006,2,1,10013,L001,1,15,7700,1,1,3A,339 BROADWAY,C6-4A,C6-2A, , , , , , , , ,Y,K1,5,0,P,"PIERCE PROPERTIES,",4982,4630,4630,0,0,4630,0,0,0,0,2,1,1,0,1,27.83,178.67,28,179, ,2,Y,5,2,432450,1533600,0,0,1968,0,0, , ,0.93,10,10,10,1,1001730031,0,33,982944,200383,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,406.8490487,4763.352507,1101150,14,0,2841,2841,22,4950,21.61333275,21.61333275,0,21.61333275,0,475.4933205 +2841,MN,386,3,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,41 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,"AVENUE B EQUITIES,",4664,24156,1985,22171,0,1985,0,0,0,0,2,1,7,22,23,48.08,97,48.08,50, ,0,Y,5,5,315000,2380950,0,895814,1999,2011,0, , ,5.18,4,0,4,1,1003860003,0,2601,989089,202617,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,294.0486773,4758.176832,2065950,1,0,2842,2842,22,4950,14.43666649,19.48333359,5.046667099,14.85762609,1.218015661,326.867774 +2842,MN,400,55,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,205 EAST 4 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,205 EAST 4 LLC,2404,6947,600,6347,0,600,0,0,0,0,2,1,5,8,9,25,96.17,25,55, ,3,N,5,2,34941,84445,0,0,1900,0,0, , ,2.89,3,0,3,1,1004000055,0,32,988754,203065,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,258.182522,2625.924138,49504,1,0,2843,2843,12,2700,15.8922224,17.64777756,1.755555153,16.46370371,0.70751477,197.5644445 +2843,MN,575,125,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,60 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,KIMBERLEY A. 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REALTY CORP.,1095,2800,1456,1344,0,1456,0,0,0,0,2,1,3,1,3,21,52.17,21,52,E,3,N,5,2,171000,810450,0,0,1900,0,0,Greenwich Village Historic District, ,2.56,3.44,2,6.5,1,1005740002,0,63,984704,207001,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,150.6016969,1176.25878,639450,8,0,2853,2853,5,1125,20.66300011,20.66300011,0,20.66300011,0,103.3150005 +2853,MN,559,7502,103,42,1000,1,2,10003,L003,9,14,6200,4,3, ,137 EAST 37 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2175,11703,2649,9054,0,2649,0,0,0,0,2,1,10,9,10,25,100,25,63, ,0,Y,0,5,33412,1925580,0,364626,1899,0,0, , ,5.38,6.02,6,6.5,1,1005597502,1670,42,987512,206351,12c, ,102 025,10207, ,1005590044,12/29/2007,1, , ,17V1.1,7,236.3182401,2138.286393,1892170,12,0,2854,2854,11,2475,36.68999863,36.68999863,0,36.68999863,0,403.5899849 +2854,MN,70,7501,101,15.02,2008,2,1,10038,E004,1,15,7700, ,1, ,125 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,RC,5,0, ,125 MAIDEN LANE CONDO,20329,255863,255863,0,250368,0,0,5495,0,0,2,1,16,0,44,235.1,81.33,81,246, 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, ,11.34,10,10,10,1,1008610044,0,74,989001,210896,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,667.3852164,21583.9397,22695300,10,0,2857,2857,96,21600,37.62444687,42.70000076,5.075553894,38.00527298,1.162254748,3648.506207 +2857,MN,343,7501,103,12,1000,1,1,10002,L018,7,14,7600,2,3, ,78 RIDGE STREET,R7A,R8A, , , , , , , , ,Y,R4,3,0, , ,12531,45289,0,45289,0,0,0,0,0,0,2,1,6,46,46,100.25,125,100.25,125, ,0,N,0,5,648005,6750898,2360,5212998,1930,2006,0, , ,3.61,4,0,4,1,1003437501,1954,12,988787,200705,12c, ,11N 081,10201, ,1003430042,10/21/2008,1, , ,17V1.1,7,455.9201379,12829.9817,6102890,13,0,2858,2858,57,12825,19.3544445,22.03555489,2.681110382,19.46364527,0.474936436,1109.42778 +2858,MN,135,7507,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,88 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1877,9867,2852,7015,0,2852,0,0,0,0,2,1,6,4,5,25,75,25,75, ,0,N,0,5,96535,925004,0,0,1915,2005,0, , ,5.26,7.52,6,7.5,1,1001357507,1704,21,982212,199565,12b, ,101S018,10104, ,1001350022,9/28/2007,1, , 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, , , , , , ,N,C0,2,0, ,ZEROF ERIC,1800,4190,0,2400,0,0,0,0,0,0,2,1,3,3,3,20,91.5,20,40,E,3,Y,5,1,61570,193075,0,0,1899,2005,0,Greenwich Village Historic District, ,2.33,2.43,0,4.8,1,1006350034,0,79,982279,207624,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,227.8377199,1851.640066,131505,8,0,2878,2878,8,1800,13.34599972,13.34599972,0,13.34599972,0,106.7679977 +2878,MN,592,56,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,154 WAVERLY PLACE,R6, , , , , , , , , ,N,A9,1,0, ,154 WAVERLY PLACE LLC,2162,5544,0,4974,0,0,0,0,0,0,2,1,4,1,1,22.25,97.08,22.25,61,E,3,N,5,1,136326,354460,0,0,1915,1999,1999,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1005920056,0,71,983917,206413,12a, ,103 017,10208, ,1005920056,2/9/2000,1, , ,17V1.1,0,242.4506077,2255.163666,218134,9,0,2879,2879,11,2475,17.50333405,18.61999893,1.116664886,17.60484904,0.321018584,193.6533394 +2879,MN,553,7501,102,63,5001,2,1,10011,E033,6,15,5700,2,2, ,103 WAVERLY PLACE,R6, , , , , , , , , ,N,RC,5,0, , 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,1,17V1.1,0,622.784676,21308.48261,25635200,4,1,2890,2890,94,21150,9.048000336,10.67066669,1.622666359,9.077761559,0.183749022,853.3095865 +2890,MN,622,5,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,560 HUDSON STREET,C1-6, , , , , , , , , ,N,C5,2,0,P,560-566 HUDSON,5100,14352,0,14352,0,0,0,0,0,0,2,4,4,32,32,76.33,66.92,19,47, ,0,Y,5,2,576000,1517850,0,0,1900,1988,0,Greenwich Village Historic District, ,2.81,3.44,2,6.5,1,1006220005,0,73,982662,207253,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,313.9538776,5127.502485,941850,8,0,2891,2891,23,5175,22.42000008,22.42000008,0,22.42000008,0,515.6600018 +2891,MN,905,1,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,321 3 AVENUE,C2-8, , , , , , , , , ,N,HB,5,0,P,"EAST SIDE INN,",4828,50757,3985,0,0,3985,0,0,0,0,2,2,11,0,3,49.38,97.6,49.33,75,E,0,N,3,5,1903500,7209450,0,0,1925,2006,0, , ,10.51,10,2,10,1,1009050001,0,66,989165,208695,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,305.6106559,5245.346339,5305950,11,0,2892,2892,24,5400,26.78800011,30.54000092,3.752000809,26.94433347,0.74974849,646.6640034 +2892,MN,529,26,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,33 BOND STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,LYNNE SMILOW TRUSTEE,2915,8945,5045,3900,3745,1300,0,0,0,0,2,1,4,3,8,25,119,25,82.5, ,3,Y,5,1,157500,1256400,0,0,1910,2006,0,NoHo Historic District Extension, ,3.07,0,5,6.5,1,1005290026,0,5502,986037,203796,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,293.8380367,2998.775259,1098900,9,0,2893,2893,14,3150,41.23199844,45.22333527,3.991336823,41.51709393,1.027926398,581.239315 +2893,MN,541,1,102,65,1003,2,1,10012,L009,6,15,5700,1,2,2A,40 WASHINGTON SQUARE S,R7-2, , , ,C1-5, , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,41835,202521,202521,0,0,0,0,0,0,202521,2,1,5,0,1,200.17,209,200.16,209, ,1,N,1,2,4770000,17425350,4770000,17425350,1950,1970,0,South Village Historic District, ,4.84,3.44,0,6.5,1,1005410001,0,65,984392,205434,12c, ,103 007,10207, ,1005410001,11/14/2000,1, , ,17V1.1,0,840.9377841,44181.19068,12655400,9,0,2894,2894,195,43875,21.61777687,26.68555641,5.067779541,22.07781689,1.130531518,4305.174294 +2894,MN,744,16,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,341 WEST 20 STREET,R7B, , , , , , , , , ,N,A4,1,0,P,HELLER SIGMUND D,1840,1872,0,1872,0,0,0,0,0,0,2,1,1.67,1,1,20,92,20,40, ,3,N,5,2,27516,139945,0,0,1910,0,0,Chelsea Historic District, ,1.02,3,0,3,1,1007440016,0,89,983820,210472,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,227.3966438,1926.847517,112429,7,0,2895,2895,8,1800,15.84222221,19.59666634,3.754444122,16.82847214,1.413138501,134.6277771 +2895,MN,694,12,104,99,1035,2,3,10011,E003,10,15,5500,1,4,1B,541 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,E9,6,0, ,DIA CENTER FOR THE AR,4937,4937,4937,0,0,0,0,4937,0,0,2,1,1,0,1,50,98.75,50,98.75, ,3,N,5,0,168750,309150,168750,281813,1966,1966,0, , ,1,0,5,6.5,1,1006940012,0,99,982495,211785,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,309.2704115,5225.988805,140400,2,1,2896,2896,24,5400,6.936999798,7.099555492,0.162555695,6.943772952,0.032482905,166.6505508 +2896,MN,344,150,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,175 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,CITY DEVELPMNT &RLTYI,2500,6875,1200,5675,0,1200,0,0,0,0,2,2,5,8,10,25,100,25,54, ,3,N,5,2,23606,73149,0,0,1910,1988,0, , ,2.75,4,0,4,1,1003440150,0,2201,988606,201576,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,256.8736981,2541.12167,49543,1,0,2897,2897,11,2475,23.20000076,25.19333267,1.993331909,23.66656633,0.770922609,260.3322296 +2897,MN,576,25,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,37 WEST 12 STREET,C6-2,R6, , , , , , , , ,Y,D4,3,0, ,BUTTERFIELD HOUSE INC,29110,235875,5254,230621,5254,0,0,0,0,0,2,2,13,102,105,215,206.5,215,186, ,3,Y,4,2,2362500,28486800,232510,232510,1961,0,0,Greenwich Village Historic District, ,8.1,6.02,6,6.5,1,1005760025,0,63,985471,207279,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,830.8164557,30244.24026,26124300,8,0,2898,2898,134,30150,23.70299912,31.71888924,8.015890121,25.67616108,2.585030867,3440.605585 +2898,MN,607,38,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,475 AVENUE OF THE AMER,C1-7,R6, , , , , , , , ,Y,D4,3,0,P,MARK TWAIN OWNERS COR,17089,62772,12816,49956,0,12816,0,0,0,0,2,1,6,82,85,103.25,165.5,103,166, ,2,N,3,2,1048500,7832700,88140,88140,1959,1985,0,Greenwich Village Historic District, ,3.67,6.02,2,6.5,1,1006070038,0,71,984702,207425,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,540.1623966,17297.92363,6784200,8,0,2899,2899,75,16875,21.80333328,24.80333328,3,21.98933327,0.641378225,1649.199995 +2899,MN,740,10,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,347 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"347 WEST 16, LLC",2300,9430,0,9430,0,0,0,0,0,0,2,1,5,20,20,25,92,25,75, ,2,N,5,2,115650,625500,0,350646,1900,1987,0, , ,4.1,4,0,4,1,1007400010,0,83,983319,209633,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,238.0002783,2349.992441,509850,7,0,2900,2900,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +2900,MN,205,10,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,118 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,118 MULBERRY REALTY L,4984,11154,1656,9498,0,1656,0,0,0,0,2,2,5,19,20,24.83,100.33,24,69, ,2,Y,5,5,306900,745200,0,0,1900,1984,0, , ,2.24,6.02,6,6.5,1,1002050010,0,41,984820,200743,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,254.7789988,2527.698829,438300,0,0,2901,2901,11,2475,31.4109993,31.4109993,0,31.4109993,0,345.5209923 +2901,MN,876,29,106,50,1000,2,2,10010,E005,13,14,5300,1,6,1B,258 3 AVENUE,C1-9A, , , , , , , , , ,N,S2,4,0, ,258 THIRD AVENUE LLC,1725,3402,1667,1735,0,1667,0,0,0,0,2,1,2,2,3,23,75,23,75, ,3,N,5,5,67712,119438,0,0,1910,0,0, , ,1.97,10,2,10,1,1008760029,0,50,988566,207992,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,206.0704109,1934.219001,51726,5,0,2902,2902,9,2025,24.27599907,25.3077774,1.031778336,24.45503638,0.351499032,220.0953274 +2902,MN,7,33,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,101 BROAD STREET,C5-5, , , , , ,LM, , , ,N,P7,8,0, ,SONS OF THE REVOLUTIO,2180,6120,6120,0,0,2180,0,0,0,3940,2,1,3,0,3,34.92,69.75,34,69, ,3,Y,5,2,450000,947250,292500,615716,1900,0,0,Fraunces Tavern Block Historic District, ,2.81,10,15,15,1,1000070033,0,9,981110,195505,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,209.425038,2389.485431,497250,17,1,2903,2903,11,2475,6.517333508,6.517333508,0,6.517333508,0,71.69066858 +2903,MN,17,29,101,13,1016,2,1,10006,E010,1,15,7700,1,1,1A,90 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,D5,3,0,P,"EKATZ FAMILY, LLC",23902,335114,10600,324514,0,1000,0,0,0,9600,2,1,27,397,399,156,179,108,130, ,3,Y,3,2,6030000,38156850,0,0,1969,2003,2016, , ,14.02,10,15,15,1,1000170029,0,13,980133,197247,12b, ,101S003,10101, ,0, ,1,1,1,17V1.1,0,679.8072106,25417.45079,32126900,15,1,2904,2904,113,25425,7.869999886,7.990000248,0.120000362,7.873028405,0.017809864,889.6522098 +2904,MN,772,44,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,210 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S9,4,0, ,"RAINESS, ERROL",851,3330,800,2530,0,800,0,0,0,0,2,1,6,3,5,49.33,17.25,17,49, ,2,N,3,5,62965,182000,0,0,1860,1999,1999, , ,3.91,6,0,6,1,1007720044,0,91,985297,210204,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,139.1516632,935.117242,119035,2,0,2905,2905,3,675,22.16600037,22.16600037,0,22.16600037,0,66.4980011 +2905,MN,449,7501,103,38,7001,1,2,10003,L011,9,14,6500,4,3, ,42 ST MARKS PLACE,R7A,R8B, , ,C1-5, , , , , ,Y,RM,4,0, , ,665,2665,812,1853,0,555,0,257,0,0,2,1,5,4,5,19,35,19,35,E,3,N,0,5,8413,114668,2360,2360,1900,1987,0, , ,4.01,4,0,4,1,1004497501,1686,38,987772,204610,12c, ,102 019,10205, ,1004490009,5/4/2007,1, , ,17V1.1,7,110.0285563,684.879139,106255,12,0,2906,2906,2,450,26.66699982,26.66699982,0,26.66699982,0,53.33399963 +2906,MN,479,3,102,41,1002,2,1,10012,L006,5,15,6800,1,2,1F,184 MOTT STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,YUET HO REALTY CORP,3800,19279,2570,16709,0,2570,0,0,0,0,2,1,6,30,36,47.5,94.17,43,82, ,2,Y,3,2,175950,1209150,0,0,1900,2015,0, , ,5.07,3.44,6,6.5,1,1004790003,0,41,985472,201833,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,284.1170714,4302.401361,1033200,0,0,2907,2907,19,4275,35.33778,39.71444321,4.376663208,36.08780289,1.489333463,685.6682549 +2907,MN,899,22,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,239 EAST 18 STREET,R7B,R7-2, , , , , , , , ,Y,C6,2,0, ,239 EAST 18TH OWNERS,2250,4470,0,4470,0,0,0,0,0,0,2,1,4,8,8,22.5,100,23,60,E,3,N,5,2,84867,398990,2360,2360,1920,1958,0, , ,1.99,3,0,3,1,1008990022,0,48,988806,207158,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,251.932514,2353.906212,314123,5,0,2908,2908,12,2700,22.06299973,24.42666626,2.363666534,22.74560165,0.67166016,272.9472198 +2908,MN,285,13,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,203 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,D6,4,0,P,203 HENRY STREET REAL,2100,6720,1120,5600,0,1120,0,0,0,0,2,1,8,5,6,24,87.5,24,47.5, ,0,N,5,5,157182,490090,0,0,1989,0,0, , ,3.2,3.44,0,6.5,1,1002850013,0,6,987736,199335,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,226.1492643,2178.661245,332908,13,0,2909,2909,10,2250,23.9640007,26.20777702,2.243776321,24.72595577,0.959039941,247.2595577 +2909,MN,784,18,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,243 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K4,4,0, ,243 WEST 34TH STREET,2254,7676,7676,0,0,1986,0,0,0,5690,2,1,4,0,2,22.83,98.75,22.83,87, ,3,N,5,2,616500,1791900,0,0,1920,0,0, , ,3.41,10,10,10,1,1007840018,0,109,986453,213215,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,255.1748632,2246.121136,1175400,6,0,2910,2910,10,2250,34.68444443,34.68444443,0,34.68444443,0,346.8444443 +2910,MN,519,64,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,39 CHARLTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,THE JANE M TIMKEN TRU,2510,4176,0,3088,0,0,0,0,0,0,2,1,3,2,2,25,100.42,25,40, ,2,N,5,1,40844,151221,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.66,2.43,0,4.8,1,1005190064,0,37,982923,204255,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,253.5428739,2606.178411,110377,0,0,2911,2911,12,2700,16.83888817,19.71111107,2.8722229,17.70240688,1.227153195,212.4288826 +2911,MN,271,52,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,164 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,KBK ASSOCIATES LLC,2608,10515,0,10515,0,0,0,0,0,0,2,1,5,24,24,26.08,100,26,86, ,3,N,5,2,98100,504450,0,0,1910,1961,0, , ,4.03,3.44,0,6.5,1,1002710052,0,6,987246,199129,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.2089676,2688.372929,406350,16,0,2912,2912,11,2475,17.59499931,19.89333344,2.298334122,18.20934296,0.85485775,200.3027725 +2912,MN,835,67,105,76,1001,2,4,10001,L024,14,15,5200,1,5,2B,44 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K4,4,0, ,44 WEST 34TH STREET,2469,9845,9845,0,7420,2425,0,0,0,0,2,1,6,0,1,25,98.75,25,97,E,3,N,5,2,931500,4165650,0,0,1925,2008,2013, , ,3.99,10,15,15,1,1008350067,0,76,987819,212235,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,261.1577458,2573.80707,3234150,10,0,2913,2913,12,2700,45.85200119,46.14955521,0.297554016,45.87679736,0.082239586,550.5215683 +2913,MN,699,22,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,517 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,K1,5,0,P,519 WEST 27TH ASSOCIA,2468,2177,2177,0,0,2177,0,0,0,0,2,1,1,0,1,25,98.75,25,92.08, ,3,N,5,0,249750,429300,0,0,1940,1989,0, , ,0.88,7.52,6,10,1,1006990022,0,99,983367,212818,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,250.2371061,2585.662996,179550,2,1,2914,2914,9,2025,12.49400043,12.71077728,0.216776848,12.5281975,0.064678833,112.7537775 +2914,MN,588,26,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,300 BLEECKER STREET,C2-6,C1-6, , , , , , , , ,Y,C7,4,0, ,ELK 300 BLEEKER LLC,3166,8596,2000,6596,0,2000,0,0,0,0,2,1,4,9,11,39.17,80.83,20,38, ,3,Y,5,2,434250,2203650,0,0,1900,0,0,Greenwich Village Historic District, ,2.72,3.44,2,6.5,1,1005880026,0,73,983155,206121,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.4231263,3351.927642,1769400,9,0,2915,2915,14,3150,22.65500069,23.79333305,1.138332367,22.8408338,0.372922551,319.7716732 +2915,MN,350,55,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,303 EAST HOUSTON STREET,R8A, , , ,C1-5, , , , , ,N,S5,4,0,P,PJB PROPERTIES LLC.,1260,7128,1000,6128,0,1000,0,0,0,0,2,1,6,6,7,18,70,18,66, ,2,N,5,2,97318,312723,0,0,1910,2005,0, , ,5.66,6,0,6,1,1003500055,0,2201,988775,202008,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,181.1864693,1306.65324,215405,1,0,2916,2916,6,1350,19.81333351,19.81333351,0,19.81333351,0,118.8800011 +2916,MN,574,30,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,28 WEST 11 STREET,R6, , , , , , , , , ,N,C1,2,0, ,"28 WEST 11TH STREET,",2353,6066,0,6066,0,0,0,0,0,0,2,1,4,10,10,24.83,94.75,25,66,E,3,N,5,2,180796,568620,0,0,1900,1988,0,Greenwich Village Historic District, ,2.58,2.43,0,4.8,1,1005740030,0,63,985267,206815,12c, ,103 019,10207, ,0, ,1, , 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LLC (JOY C. BR,1263,2500,2500,0,2500,0,0,0,0,0,2,1,2,0,1,25.17,50.25,25,50, ,3,Y,5,2,130950,360000,0,0,1920,0,0,Tribeca West Historic District, ,1.98,6.02,6,6.5,1,1001440031,0,33,981905,200445,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,156.6539906,1353.904972,229050,14,0,2928,2928,6,1350,11.09777832,15.81999969,4.722221375,11.88481522,1.759868,71.3088913 +2928,MN,299,34,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,59 CANAL STREET,C6-2, , , , , , , , , ,N,L8,6,0, ,59 CANAL STREET DEVEL,1375,5500,4125,1375,1375,2750,0,0,0,0,2,1,4,4,7,25,55,25,55, ,3,N,3,2,109350,414000,0,0,1900,1995,2000, , ,4,6.02,6,6.5,1,1002990034,0,16,986462,199815,12d, ,100 000,10107, ,1002990033,8/14/1995,1, , ,17V1.1,0,173.518972,1609.104508,304650,13,0,2929,2929,7,1575,40.40000153,40.40000153,0,40.40000153,0,282.8000107 +2929,MN,635,8,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,747 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,G1,10,0, ,LICHTENSTEIN ROY,2052,2052,2052,0,0,0,2052,0,0,0,2,1,1,0,1,20.37,100.75,20.37,70, 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,17V1.1,0,279.5075928,4552.044743,1332450,9,0,2963,2963,21,4725,24.70777702,24.70777702,0,24.70777702,0,518.8633175 +2963,MN,590,51,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,285 BLEECKER STREET,C2-6,R7-2, , , , , , , , ,Y,C7,4,0, ,285 BLEECKER STREET R,1875,8125,1625,6500,0,1625,0,0,0,0,2,1,5,8,9,25,75,25,64, ,3,N,5,2,57119,345614,0,0,1900,1960,0,Greenwich Village Historic District Exte, ,4.33,3.44,2,6.5,1,1005900051,0,67,983356,205974,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,204.5270164,1931.523385,288495,9,0,2964,2964,10,2250,19.74111176,20.33889008,0.59777832,19.80088959,0.179333496,198.0088959 +2964,MN,803,18,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,129 WEST 27 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,SKC CORP,7406,84745,84745,0,0,6000,0,78745,0,0,2,1,12,0,10,75,98.75,75,90, ,3,N,5,2,1170000,6489900,0,0,1910,0,0, , ,11.44,0,10,10,1,1008030018,0,95,986408,211134,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,352.3618307,7559.602591,5319900,2,0,2965,2965,34,7650,36.93999863,37.68266678,0.742668152,37.14290114,0.127806294,1262.858639 +2965,MN,860,45,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,450 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0, ,460 PARK AVENUE SOUTH,13345,172831,172831,0,156338,16493,0,0,0,0,2,2,12,0,41,63.17,115,63,114, ,0,Y,3,2,6210000,18639000,0,0,1912,1985,0, , ,12.95,10,10,10,1,1008600045,0,74,988902,210741,8d, ,104 017,10306, ,1008600045,3/12/2007,1, , ,17V1.1,0,489.2521111,14058.69888,12429000,10,0,2966,2966,60,13500,37.50888824,41.91666794,4.407779694,37.78153458,0.960877334,2266.892075 +2966,MN,238,14,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,209 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,"209 GRAND STREET, LLC",3774,16901,3294,13607,0,3294,0,0,0,0,2,1,6,20,22,47.42,80,47,80, ,3,Y,5,2,273600,1269450,0,0,1900,1987,0, , ,4.48,6.02,6,6.5,1,1002380014,0,41,985290,201138,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,263.9660792,3965.442279,995850,0,0,2967,2967,18,4050,30.48666763,31.90200043,1.415332794,31.72788938,0.437147115,571.1020088 +2967,MN,418,50,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,288 GRAND STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,288 SIU KEE CORP,2214,9851,1970,7881,0,1970,0,0,0,0,2,1,5,12,14,25.25,87.67,25,83, ,3,N,3,2,151200,428850,0,0,1910,0,0, , ,4.45,4,4,4,1,1004180050,0,18,986400,200825,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,232.9729366,2440.892259,277650,13,0,2968,2968,12,2700,37.89666748,37.89666748,0,37.89666748,0,454.7600098 +2968,MN,908,6,106,66,2001,2,2,10016,E016,13,14,5800,1,6,1B,203 EAST 27 STREET,C2-8,R8B, , , , , , , , ,Y,D7,4,0, ,203 EAST 27TH STREET,5266,25777,1000,24777,0,1000,0,0,0,0,2,1,7,52,56,53.33,98.75,53,85, ,2,N,5,2,374400,3030750,0,0,1920,1987,0, , ,4.89,10,2,10,1,1009080006,0,66,989594,209369,8d, ,104 008,10308, ,0, ,1, , 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,17V1.1,0,347.2320595,7210.343813,6321150,8,1,2971,2971,34,7650,12.05555534,12.05555534,0,12.05555534,0,409.8888817 +2971,MN,481,35,102,41,6002,2,1,10013,E055,5,15,6800,1,2,1A,390 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,YING WEE CORP,3925,17389,1160,16229,0,1160,0,0,0,0,2,1,6,30,31,76,60,75,60, ,3,Y,3,2,153450,1078650,0,0,1900,1972,2014, , ,4.43,6.02,6,6.5,1,1004810035,0,41,985092,201862,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,272.0354658,4445.070052,925200,0,0,2972,2972,21,4725,31.92555428,34.35222244,2.426668167,32.0411099,0.516780474,672.863308 +2972,MN,437,24,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,286 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,286 EAST 10TH ST INC,2306,7256,1200,6056,0,1200,0,0,0,0,2,1,5,8,9,25,92.25,25,55, ,3,N,5,2,61054,176177,0,0,1900,0,0, , ,3.15,4,0,4,1,1004370024,0,34,988995,204464,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,233.8392375,2234.407316,115123,12,0,2973,2973,9,2025,17.51666641,18.75888824,1.242221832,17.78271569,0.498184472,160.0444412 +2973,MN,615,73,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,8 JANE STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,8 JANE STREET LLC,1260,3520,0,2600,0,0,0,0,0,0,2,1,3,3,3,20,64,20,42, ,3,Y,5,1,71763,190492,0,0,1899,2012,0,Greenwich Village Historic District, ,2.79,2.43,0,4.8,1,1006150073,0,77,983552,208143,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,169.3473672,1313.388809,118729,8,0,2974,2974,6,1350,21.74111176,23.47555542,1.734443665,22.0301857,0.64638899,132.1811142 +2974,MN,767,1,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,144 8 AVENUE,C1-6A, , , , , , , , , ,N,K4,4,0, ,CHELSEA BUSINESS PROP,2637,7662,7662,0,2554,5108,0,0,0,0,2,1,3,0,5,26.33,100,26.33,97, ,3,N,3,2,310050,2243250,0,0,1920,1987,0, , ,2.91,4,2,4,1,1007670001,0,81,984044,209474,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,256.9362716,2728.605402,1933200,7,0,2975,2975,13,2925,21.88888931,22.21999931,0.331110001,21.91435931,0.088230668,284.8866711 +2975,MN,348,44,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,86 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,86 CLINTON LLC,2500,7000,1200,5800,0,1200,0,0,0,0,2,1,4,18,21,25,100,25,56, ,3,N,5,1,292500,890100,0,0,1920,2013,0, , ,2.8,4,0,4,1,1003480044,0,1402,988377,201032,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,256.9335516,2605.814861,597600,13,0,2976,2976,11,2475,23.08555603,27.32999992,4.244443893,24.57070732,1.965820234,270.2777805 +2976,MN,69,1,101,15.02,2007,2,1,10038,E004,1,15,7700,1,1,1B,215 PEARL STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0, ,LAM PEARL STREET HOTE,6281,148868,1500,0,0,1500,0,0,0,0,2,1,39,0,2,118.3,66.06,118,66, ,2,Y,3,2,1145250,8131040,0,0,2015,2016,0, , ,23.7,10,15,15,1,1000690001,0,1502,982499,196935,12b, ,101S012,10102, ,1000690030,3/4/2013,1,1,1,17V1.1,0,340.201681,6367.012096,6985790,4,1,2977,2977,29,6525,7.008888721,8.872221947,1.863333225,8.092682,0.490800719,234.687778 +2977,MN,246,1,103,6,6000,1,1,10002,E015,7,14,7800,1,3,1B,275 SOUTH STREET,C6-4, , , , , , , , , ,N,D6,4,0,P,LE I NYAH II HOLDINGS,51180,262875,1000,261875,0,1000,0,0,0,0,2,1,19,256,258,361.58,152,60,235, ,1,N,1,0,1516950,20672550,1516950,20672550,1978,0,0, , ,5.14,10,10,10,1,1002460001,0,6,987656,198206,12d, ,101N055,10106, ,1002460001,3/16/2011,1,1,1,17V1.1,0,904.800485,49958.41103,19155600,16,1,2978,2978,223,50175,5.547999859,12.32055569,6.772555828,8.048374753,1.574260895,1794.78757 +2978,MN,720,63,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,430 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,430 WEST 23 ST TENANT,3308,9577,0,9577,0,0,0,0,0,0,2,1,4,10,10,33.5,98.75,17,67, ,3,N,5,1,182071,846215,7080,7080,1920,2013,0,Chelsea Historic District Extension, ,2.9,3,0,3,1,1007200063,0,93,983499,211344,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,272.8914002,3488.998305,664144,2,1,2979,2979,16,3600,9.369999886,11.57333374,2.203333855,9.507708251,0.533342208,152.123332 +2979,MN,593,44,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,16 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,EDMOND MARTIN REAL ES,1398,4567,350,4217,0,350,0,0,0,0,2,2,3,13,14,21,55.42,19,36, ,3,Y,5,2,77850,1072350,0,0,1910,1987,0,Greenwich Village Historic District, ,3.27,2.43,0,4.8,1,1005930044,0,71,984114,206614,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,187.4130807,1524.193752,994500,8,0,2980,2980,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +2980,MN,770,4,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,204 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,SINORAMA REALTY CORP,1500,6200,1000,5200,0,1000,0,0,0,0,2,1,5,8,9,20,75,20,69, ,3,N,5,2,44079,338839,0,0,1900,0,0, , ,4.13,4,2,4,1,1007700004,0,87,984417,210175,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,190.8358813,1428.34655,294760,7,0,2981,2981,6,1350,22.20999908,22.20999908,0,22.20999908,0,133.2599945 +2981,MN,745,26,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,313 WEST 21 STREET,R7B, , , , , , , , , ,N,D1,3,0,P,ISMO LLC,4938,20496,0,20496,0,0,0,0,0,0,2,1,6,35,35,50,98.75,50,80, ,3,N,5,2,274950,1861200,0,0,1938,1986,0, , ,4.15,3,0,3,1,1007450026,0,89,984207,210542,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,304.2729503,5053.889609,1586250,7,0,2982,2982,22,4950,15.97222233,15.97222233,0,15.97222233,0,351.3888912 +2982,MN,528,86,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,55 1/2 DOWNING STREET,R6, , , , , , , , , ,N,C6,2,0,P,55-55 1/2 DOWNING STR,2242,12750,0,12750,0,0,0,0,0,0,2,2,5,20,20,68.08,89.83,68,55, ,3,Y,5,2,82350,1054800,82350,859120,1900,0,0,Greenwich Village Historic District Exte, ,5.69,2.43,0,4.8,1,1005280086,0,67,983004,204969,12a, ,103 003,10206, ,1005280086,1/2/2001,1, , ,17V1.1,0,262.8064819,3566.335249,972450,9,0,2983,2983,16,3600,15.38333321,15.38333321,0,15.38333321,0,246.1333313 +2983,MN,641,7501,102,79,3002,2,3,10014,L005,6,15,6100,3,2, ,88 JANE STREET,R6, , , , , , , , , ,N,R4,3,0,P,88 JANE W 12 CONDOMIN,6966,24040,0,24040,0,0,0,0,0,0,2,2,5,27,27,43.08,160,0,160, ,0,Y,5,5,774000,2470951,11800,11800,1910,1985,0,Greenwich Village Historic District, ,3.45,2.43,0,4.8,1,1006417501,329,79,982155,208096,8b,Y,103 014,10210, ,1006410040,12/25/1986,1, , ,17V1.1,7,422.9623609,7307.475417,1696950,8,1,2984,2984,33,7425,12.27999973,13.44000053,1.160000801,12.34528596,0.255036793,407.3944368 +2984,MN,237,34,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,187 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,187 HESTER ST LLC,2500,9116,1880,7236,0,1880,0,0,0,0,2,2,5,20,21,25,100.33,25,46, ,0,Y,5,5,96750,545850,0,0,1900,0,0, , ,3.65,6.02,6,6.5,1,1002370034,0,41,984932,200950,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.6908059,2663.459441,449100,0,0,2985,2985,12,2700,30.73800087,32.43099976,1.692998886,32.16450914,0.597126992,385.9741097 +2985,MN,106,9,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,1 PECK SLIP,C6-2A, , , , , ,LM, , , ,N,W1,8,0,O,NEW YORK CITY SCHOOL,17789,112362,112362,0,0,0,0,0,0,112362,2,1,7,0,1,202.42,102.42,202,98, ,2,Y,3,0,2812500,9750600,2812500,9750600,1950,2013,0,South Street Seaport Historic District E, ,6.32,6.02,6,6.5,1,1001060009,0,1501,983715,197451,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,636.0968079,18312.15548,6938100,4,1,2986,2986,81,18225,9.201000214,16.60333252,7.402332306,9.431266302,1.182483574,763.9325705 +2986,MN,740,37,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,139 8 AVENUE,C1-6A, , , , , , , , , ,N,D4,3,0, ,300 W 17TH ST HOUSING,4600,32930,2125,30805,0,2125,0,0,0,0,2,1,7,31,33,46,100,46,100, ,2,N,3,2,263250,3162600,263250,280832,1900,1986,0, , ,7.16,4,2,4,1,1007400037,0,83,983826,209489,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,309.6794596,5253.478415,2899350,7,0,2987,2987,23,5175,20.04777718,21.75,1.702222824,20.20169034,0.419706984,464.6388779 +2987,MN,440,32,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,207 AVENUE A,R7A, , , ,C2-5, , , , , ,N,K4,4,0, ,H.S.A. PROPERTIES INC,2575,6046,3735,2311,1160,2575,0,0,0,0,2,1,4,2,4,25.75,100,26,98,E,3,N,5,2,225000,744750,0,0,1900,1988,0, , ,2.35,4,0,4,1,1004400032,0,34,989444,205119,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,259.3814596,2765.085286,519750,12,0,2988,2988,12,2700,16.59444427,16.59444427,0,16.59444427,0,199.1333313 +2988,MN,615,84,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,241 WEST 12 STREET,R6,C1-6, , , , , , , , ,Y,B9,1,0, ,BAUM MARC L,1364,3860,0,2832,0,0,0,0,0,0,2,1,3,2,2,22,62,22,40,E,3,N,5,1,46274,139345,0,0,1899,0,0,Greenwich Village Historic District, ,2.83,2.43,0,4.8,1,1006150084,0,77,983588,208082,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,172.2077448,1341.910943,93071,8,0,2989,2989,5,1125,21.74111176,25.36000061,3.618888855,22.46488953,1.447555542,112.3244476 +2989,MN,573,13,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,58 WEST 10 STREET,R6, , , , , , , , , ,N,W9,8,0,P,NEW YORK UNIVERSITY,1983,4090,4090,0,4090,0,0,0,0,0,2,1,3,1,2,21.5,92.25,21.5,40,E,0,N,5,5,356850,654750,356850,654750,1900,0,0,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1005730013,0,63,984792,206792,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.4733447,1983.330281,297900,8,0,2990,2990,10,2250,18.98099899,23.07999992,4.099000931,19.39089909,1.229700279,193.9089909 +2990,MN,415,12,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,176 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"EAST CHINATOWN HDF, I",6072,32786,5000,27786,5000,0,0,0,0,0,2,2,6,56,60,69.17,88.25,69.17,79, ,3,N,5,1,405000,1074150,368550,977477,1920,1988,0, , ,5.4,4,4,4,1,1004150012,0,18,986860,201714,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,320.5234757,6311.148113,669150,13,0,2991,2991,28,6300,37.10666656,39.57444382,2.467777252,37.23921408,0.471058224,1042.697994 +2991,MN,529,55,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,27 BLEECKER STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,27-31 OWNERS CORP,4526,29600,4200,25400,0,4200,0,0,0,0,2,1,7,15,16,65,71,65,65, ,3,Y,5,2,384300,4301100,0,0,1910,1983,1985,Noho East Historic District, ,6.54,0,5,6.5,1,1005290055,0,5502,986046,203689,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,274.1262006,4682.750649,3916800,9,0,2992,2992,22,4950,41.23199844,43.05110931,1.81911087,41.3146853,0.378918785,908.9230766 +2992,MN,603,63,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,459 HUDSON STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,459 HUDSON ST TENANTS,1749,4297,0,4297,0,0,0,0,0,0,2,1,3,6,6,27.33,64,27,55, ,3,N,5,2,108578,326452,2360,2360,1920,0,0,Greenwich Village Historic District, ,2.46,3.44,2,6.5,1,1006030063,0,69,982330,205785,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,188.8990811,1827.906169,217874,9,0,2993,2993,6,1350,15.32666683,15.32666683,0,15.32666683,0,91.96000099 +2993,MN,452,39,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,237 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,BENCHMARK 237 LLC,2369,11214,0,11214,0,0,0,0,0,0,2,1,7,28,28,25,94.75,25,79, ,3,N,5,2,310500,2130750,0,0,1920,0,0, , ,4.73,4,0,4,1,1004520039,0,40,988434,204949,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,249.8579176,2462.959699,1820250,12,0,2994,2994,11,2475,22.86222267,22.86222267,0,22.86222267,0,251.4844494 +2994,MN,557,11,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,810 BROADWAY,C6-1, , , , , , , , , ,N,D7,4,0,P,SAMRA ELIAHU,2733,21492,2388,19104,0,2388,0,0,0,0,2,1,9,8,11,23.67,115.42,24,114, ,3,Y,5,1,307350,1226700,0,0,1907,2005,2005, , ,7.86,3.44,6,6.5,1,1005570011,0,61,986769,206163,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,294.3202517,3127.511955,919350,8,0,2995,2995,14,3150,41.29888916,41.29888916,0,41.29888916,0,578.1844482 +2995,MN,836,83,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,1330 BROADWAY,C6-6, , , , , ,MID, , , ,N,K2,5,0,P,"SCG REALTY II, LLC",1127,5640,5640,0,0,5640,0,0,0,0,2,1,5,0,1,18.75,60,18,60, ,3,N,3,2,504000,3129750,0,0,1920,1989,0, , ,5,10,15,15,1,1008360083,0,76,987819,212621,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,167.7976918,1280.85926,2625750,10,0,2996,2996,4,900,49.46666718,50.92666626,1.459999084,50.23583317,0.52914675,200.9433327 +2996,MN,271,60,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,148 HENRY STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,"GOTLIB, KERRY",1599,4756,0,4756,0,0,0,0,0,0,2,1,4,8,8,20.5,78,21,54, ,3,N,5,1,67615,261531,0,0,1900,1986,0, , ,2.97,3.44,0,6.5,1,1002710060,0,6,987054,199119,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,206.201564,1790.100978,193916,16,0,2997,2997,8,1800,22.67499924,25.44000053,2.765001297,23.12576342,0.897322435,185.0061073 +2997,MN,594,33,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,312 SPRING STREET,C6-2A, , , , , , , , , ,N,O1,5,0,P,PONTE EQUITIES INC,1875,1750,1750,0,1750,0,0,0,0,0,2,1,1,0,1,25,75,25,70, ,3,N,5,0,126450,337950,0,0,1915,0,0, , ,0.93,6.02,6,6.5,1,1005940033,0,37,981839,203689,12a, ,101N063,10208,E-116,0, ,1, ,1,17V1.1,0,203.2827111,1910.602308,211500,0,1,2998,2998,9,2025,7.988888741,9.191332817,1.202444077,8.122493638,0.377891716,73.10244274 +2998,MN,922,25,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,275 1 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0, ,WONGTAITONG-275 FIRST,1600,3840,900,2940,0,900,0,0,0,0,2,1,4,3,4,20,80,20,72,E,3,N,5,5,295459,598487,0,0,1910,1969,0, , ,2.4,4,2,4,1,1009220025,0,48,989231,206179,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,214.4699582,1713.165,303028,5,0,2999,2999,7,1575,19.57900047,19.57900047,0,19.57900047,0,137.0530033 +2999,MN,454,29,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,340 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,UANNA LLC,2891,11035,0,11035,0,0,0,0,0,0,2,1,5,20,20,28,103.25,28,81, ,3,N,5,2,260550,1204650,0,0,1900,0,0, , ,3.82,4,0,4,1,1004540029,0,40,988672,205533,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,269.9750981,3016.33051,944100,12,0,3000,3000,15,3375,22.37666702,22.37666702,0,22.37666702,0,335.6500053 +3000,MN,273,1,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,157 MADISON STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,77175,86350,86350,0,0,0,0,0,0,86350,2,1,3,0,2,200,386.08,338,155, ,1,Y,3,2,4391550,9937800,4391550,9937800,1957,1987,0, , ,1.12,3.44,0,6.5,1,1002730001,0,6,986600,199007,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,1186.912245,79631.43237,5546250,16,0,3001,3001,356,80100,24.61711121,35.08333588,10.46622467,28.61778783,1.547834093,10187.93247 +3001,MN,606,35,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,152 WEST 11 STREET,C1-6, , , , , , , , , ,N,A9,1,0, ,"152 WEST 11TH STREET,",830,1880,0,1410,0,0,0,0,0,0,2,1,3,1,1,18.75,44.67,18.75,25, ,3,Y,5,1,42466,148999,0,0,1899,2008,0,Greenwich Village Historic District, ,2.27,3.44,2,6.5,1,1006060035,0,71,984143,207466,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,125.2839514,812.225378,106533,8,0,3002,3002,4,900,22.88899994,22.88899994,0,22.88899994,0,91.55599976 +3002,MN,194,30,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,56 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,FIFTH SIX LISPENARDST,2325,8209,2203,6006,0,2203,0,0,0,0,2,1,4,3,4,25.08,93.25,25,85,E,3,Y,5,2,121950,518850,0,0,1920,1988,0,Tribeca East Historic District, ,3.53,6.02,6,6.5,1,1001940030,0,33,983412,201374,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,241.8864747,2412.550182,396900,14,0,3003,3003,9,2025,12.8255558,12.8255558,0,12.8255558,0,115.4300022 +3003,MN,740,53,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,340 WEST 17 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CHELSEA VENTURA LLC,2300,9000,0,9000,0,0,0,0,0,0,2,1,5,15,15,25,92,25,78, ,3,N,5,2,90900,1377450,0,0,1910,0,0, , ,3.91,4,0,4,1,1007400053,0,83,983430,209681,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,244.390651,2482.597892,1286550,7,0,3004,3004,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +3004,MN,424,6,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,161 BOWERY,C6-1G, , , , , , , , , ,N,O6,5,0, ,"AC BOWERY OWNER, LLC",2664,18994,18994,0,13921,5073,0,0,0,0,2,1,7,0,7,23.33,114.83,23,110, ,3,Y,5,2,315000,1874700,0,0,1920,1989,2014, , ,7.13,3.44,6,6.5,1,1004240006,0,18,985939,201453,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,286.4103014,2861.167326,1559700,0,0,3005,3005,12,2700,35.63777924,35.63777924,0,35.63777924,0,427.6533508 +3005,MN,233,4,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,13 CROSBY STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,BOQUEN RLTY INC,7500,38000,38000,0,31925,6075,0,0,0,0,2,1,6,0,8,75,100,75,81, ,3,N,5,2,405000,4920300,0,0,1935,0,0,SoHo-Cast Iron Historic District Extensi, ,5.07,0,5,6.5,1,1002330004,0,45,984265,201584,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,357.425325,7768.281733,4515300,0,0,3006,3006,34,7650,17.40800095,20.34399986,2.935998917,17.62296817,0.719081863,599.1809177 +3006,MN,801,14,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,147 WEST 25 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,147 WEST 25TH STREET,3341,41579,41579,0,0,3465,0,38114,0,0,2,1,12,0,13,34.5,98.75,35,99, ,3,N,5,2,513000,3586050,0,0,1911,1989,0, , ,12.45,0,10,10,1,1008010014,0,91,986029,210754,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,274.3960387,3467.831277,3073050,2,0,3007,3007,15,3375,32.50999832,32.50999832,0,32.50999832,0,487.6499748 +3007,MN,629,42,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,65 8 AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,"65 EIGHTH AVENUE,",1806,6220,1500,4720,0,1500,0,0,0,0,2,1,4,11,14,25.83,70.25,26,68, ,2,Y,3,2,486000,1610550,0,0,1905,1971,0,Greenwich Village Historic District, ,3.44,3.44,2,6.5,1,1006290042,0,77,983360,208613,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,209.1626776,2152.999203,1124550,8,0,3008,3008,9,2025,16.45777702,16.45777702,0,16.45777702,0,148.1199932 +3008,MN,915,65,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,515 3 AVENUE,C1-9, , , , , , , , , ,N,S4,4,0, ,SYRACUSE ENTERPRISES,2467,8384,1677,6707,0,1677,0,0,0,0,2,1,5,4,5,24.67,100,25,58,E,3,N,5,5,346813,867174,0,0,1920,1988,0, , ,3.4,10,2,10,1,1009150065,0,78,990476,211059,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,256.062483,2523.057103,520361,10,0,3009,3009,11,2475,27.39299965,29.85477829,2.461778641,27.61679771,0.7077116,303.7847748 +3009,MN,770,1,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,198 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,"FALCON HOLDING,",1787,8955,1800,7155,0,1800,0,0,0,0,2,1,5,8,9,23.83,75,24,75, ,2,N,3,2,138969,599638,0,0,1944,1989,2005, , ,5.01,4,2,4,1,1007700001,0,87,984385,210119,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,203.5292,1939.642196,460669,7,0,3010,3010,9,2025,22.20999908,22.86888886,0.658889771,22.29915979,0.206343172,200.6924381 +3010,MN,434,5,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,108 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0, ,108 1ST LLC,1488,5535,1107,4428,0,1107,0,0,0,0,2,1,5,5,6,21.25,70,21,70,E,3,N,5,5,32963,109469,0,0,1900,1983,0, , ,3.72,4,0,4,1,1004340005,0,32,988213,203990,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,189.1564719,1660.774643,76506,1,0,3011,3011,8,1800,20.12299919,23.77366638,3.650667191,20.57933259,1.207344688,164.6346607 +3011,MN,277,31,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,54 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,54 HENRY STREET REALT,2500,11364,2000,9364,0,2000,0,0,0,0,2,1,6,16,17,25,100,25,87, ,3,N,5,2,101250,577800,0,0,1920,1982,0, , ,4.55,3.44,0,6.5,1,1002770031,0,8,985564,198945,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,256.4232831,2588.104079,476550,16,0,3012,3012,11,2475,26.91300011,28.10433388,1.191333771,27.02130318,0.342484379,297.2343349 +3012,MN,780,7501,105,101,1005,2,3,10001,L024,14,15,5200,1,5, ,408 8 AVENUE,C6-3X, , , , , , , , , ,N,RM,4,0, , ,5000,26050,5636,20414,2500,3136,0,0,0,0,2,1,12,29,30,50,100,0,0, ,0,N,5,5,491400,4016701,9440,9440,1986,0,0, , ,5.21,9,6,9,1,1007807501,274,101,985688,212446,8d, ,105S021,10304, ,1007800003,3/11/1986,1, , ,17V1.1,7,305.155352,5169.68326,3525300,6,0,3013,3013,23,5175,30.48555565,31.09600067,0.610445023,31.05665763,0.128603223,714.3031254 +3013,MN,499,7507,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,111 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2500,11020,3024,7996,0,3024,0,0,0,0,2,1,7,4,5,25,100,25,100,E,2,N,0,5,317985,2124521,0,0,1900,1989,2009, , ,4.41,0,5,6.5,1,1004997507,2265,49,984384,203014,12c, ,101N072,10206, ,1004990032,7/24/2013,1, , ,17V1.1,7,259.8742669,2678.918543,1806540,0,0,3014,3014,11,2475,22.35555458,22.35555458,0,22.35555458,0,245.9111004 +3014,MN,776,11,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,247 WEST 26 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"CHELSEA PARTNERS I,",2469,10000,1000,9000,0,1000,0,0,0,0,2,1,5,17,18,25,98.75,25,80, ,3,N,5,2,222300,1287450,0,0,1901,1988,0, , ,4.05,6.02,6,6.5,1,1007760011,0,95,985298,211453,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,250.5941127,2525.2631,1065150,2,0,3015,3015,12,2700,26.70400047,27.74111176,1.037111282,26.81925964,0.293810999,321.8311157 +3015,MN,237,29,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,121 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,HONG-MOY REALTY CORP,3131,12283,2000,10283,0,2000,0,0,0,0,2,1,6,25,29,49.92,62.67,49,60, ,2,Y,3,2,211500,1044900,0,0,1912,1989,0, , ,3.92,6.02,6,6.5,1,1002370029,0,41,985022,200881,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,235.9872319,3446.90278,833400,0,0,3016,3016,16,3600,31.40799904,32.36622238,0.958223343,31.48920047,0.240958235,503.8272076 +3016,MN,488,34,102,47,1002,2,1,10013,L008,1,15,6800,1,2,1A,374 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K4,4,0, ,376 WEST BROADWAY LLC,4600,16228,16228,0,0,16228,0,0,0,0,2,1,3,0,5,100,40.25,40,28,E,0,Y,5,5,1350000,10616850,0,0,1947,1995,2003,SoHo-Cast Iron Historic District Extensi, ,3.53,0,5,6.5,1,1004880034,0,47,983423,202907,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,353.1582299,5049.296839,9266850,0,1,3017,3017,23,5175,9.686666489,9.686666489,0,9.686666489,0,222.7933292 +3017,MN,495,45,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,57 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,JBAM TRG SPRING LLC,2616,8950,715,8235,0,715,0,0,0,0,2,1,5,16,17,24.92,112,25,76, ,3,Y,5,2,225000,2212200,0,0,1910,2014,2015, , ,3.42,6.02,6,6.5,1,1004950045,0,43,985162,202456,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,279.909074,2936.23557,1987200,0,0,3018,3018,12,2700,37.57110977,37.57110977,0,37.57110977,0,450.8533173 +3018,MN,826,63,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,36 WEST 25 STREET,M1-6, , , , , , , , , ,N,L2,6,0, ,"25TH STREET TIC,",4938,65372,65372,0,0,4000,0,61372,0,0,2,1,16,0,16,50,98.75,50,92, ,3,N,5,2,2250000,7942050,0,0,1913,0,0, , ,13.24,0,10,10,1,1008260063,0,58,986792,210153,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,302.2025963,5055.042778,5692050,2,0,3019,3019,22,4950,33.45800018,41.41110992,7.953109741,34.32887892,2.306163693,755.2353363 +3019,MN,16,7502,101,317.04,2000,2,1,10280,E010,1,15,8900,1,1, ,350 ALBANY STREET,BPC, , , , , ,BPC, , , ,N,R4,3,0,P,HUDSON TOWER,27838,123284,11136,112148,0,0,10690,0,0,446,2,1,15,133,133,287.38,100.5,287,100, ,0,Y,5,5,3560392,20422342,3560392,20422342,1986,0,0, , ,4.43,0,0,0,1,1000167502,313,31704,979379,197988,12b, ,101S090,10101, ,1000160095,12/25/1986,1,1,1,17V1.1,7,766.5669562,28492.43564,16862000,15,1,3020,3020,127,28575,9.808889389,13.80555534,3.996665955,10.46461364,1.181498511,1329.005933 +3020,MN,142,12,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,27A HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,"BARTLETT, SARAH C.",1591,5000,0,3515,0,0,0,0,0,0,2,1,2.75,1,1,25.25,63,25,50, ,3,N,5,1,49244,120374,1550,1550,1899,2007,0, ,315 WASHINGTON STREET HOUSE (NOW 27,3.14,10,10,10,1,1001420012,0,39,981251,201105,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,171.8351881,1491.752416,71130,14,0,3021,3021,8,1800,14.25300026,14.59799957,0.344999313,14.29612517,0.114097798,114.3690014 +3021,MN,769,58,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,236 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,PENTECOSTAL CH OF GOD,2573,7695,1000,6695,0,1000,0,0,0,0,2,1,5,8,9,28,91.92,28,52, ,3,Y,5,2,20358,231660,20358,231660,1947,0,0, , ,2.99,4,0,4,1,1007690058,0,87,984569,209888,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,246.6185042,2651.808462,211302,7,0,3022,3022,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +3022,MN,858,49,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1A,38 EAST 29 STREET,C5-2, , , , , , , , , ,N,O3,5,0,P,EAST 29 ASSOCIATES LL,6172,62099,62099,0,62099,0,0,0,0,0,2,1,10,0,16,62.5,98.75,63,99,E,3,N,5,2,1800000,5509800,0,0,1919,1986,0, , ,10.06,10,10,10,1,1008580049,0,74,988553,210357,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,333.2394744,6499.804746,3709800,11,0,3023,3023,29,6525,36.10889053,39.97777939,3.868888855,36.24230049,0.705939156,1051.026714 +3023,MN,436,48,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,103 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"ALLIED XVII, LLC",3522,13405,1200,12205,1200,0,0,0,0,0,2,1,6,21,23,37.5,93.92,38,64, ,3,N,5,2,236700,1448550,0,0,1920,1988,0, , ,3.81,4,0,4,1,1004360048,0,32,988625,204275,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,261.4211844,3500.977947,1211850,12,0,3024,3024,16,3600,17.84799957,20.3255558,2.477556229,18.46186078,0.942380022,295.3897724 +3024,MN,496,1,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,79 CROSBY STREET,M1-5B, , , , , , , , , ,N,HB,5,0, ,79 CROSBY STREET LLC,9850,48479,0,0,0,0,0,0,0,0,2,1,11,0,1,100.5,98,0,0, ,0,N,5,5,2250000,31309200,0,0,2007,0,0,SoHo-Cast Iron Historic District Extensi, ,4.92,0,5,6.5,1,1004960001,0,43,984971,202682,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,420.7045567,10064.98423,29059200,0,0,3025,3025,44,9900,34.17777634,36.64899826,2.471221924,34.77959329,0.665908809,1530.302105 +3025,MN,468,17,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,216 EAST 13 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,MAGO LLC,1600,3416,0,3416,0,0,0,0,0,0,2,1,4,9,9,15.5,103.25,16,56, ,3,N,5,2,100066,285736,0,0,1910,1986,0, , ,2.14,4,0,4,1,1004680017,0,40,987830,206000,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,245.0785849,1704.657928,185670,12,0,3026,3026,7,1575,28.72333336,35.73888779,7.015554428,30.24936485,2.57352007,211.745554 +3026,MN,539,40,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,165 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,J.J.A. EQUITIES,2500,7767,1200,6567,0,1200,0,0,0,0,2,1,6,13,14,25,100,25,74,E,3,N,5,2,91800,781200,0,0,1900,0,0,South Village Historic District, ,3.11,3.44,0,6.5,1,1005390040,0,65,984245,204814,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.648147,2670.054329,689400,9,0,3027,3027,12,2700,25.23555565,26.32222176,1.086666107,25.39398146,0.358582481,304.7277775 +3027,MN,605,30,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,489 HUDSON STREET,R6, , , , , , , , , ,N,B9,1,0, ,THE BOARD OF MANAGERS,1500,3752,0,2700,0,0,0,0,0,0,2,1,3,2,2,20,72,20,49, ,3,N,5,1,34410,133725,0,0,1900,1959,0,Greenwich Village Historic District, ,2.5,2.43,0,4.8,1,1006050030,0,69,982375,206207,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,194.8812773,1576.349556,99315,9,0,3028,3028,7,1575,19.59111023,20.71999931,1.128889084,20.17174557,0.511086601,141.202219 +3028,MN,470,39,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,120 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,JING CHENG REALTY INC,2581,10866,905,9961,0,905,0,0,0,0,2,1,6,22,24,25.75,100.25,26,87, ,3,N,5,2,102150,589050,0,0,1900,0,0, , ,4.21,6.02,6,6.5,1,1004700039,0,41,985567,201305,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,255.7579137,2532.255738,486900,0,0,3029,3029,11,2475,31.67711258,34.34444427,2.667331696,31.91959728,0.766803948,351.1155701 +3029,MN,550,30,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,18 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,H8,8,0, ,NEW YORK UNIVERSITY,6000,13100,0,0,0,0,0,0,0,0,2,3,6,15,15,50,120,50,48, ,3,N,5,5,270000,580950,210600,445657,1900,0,0,Greenwich Village Historic District, ,2.18,6.02,2,6.5,1,1005500030,0,59,985524,205809,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,348.4609183,6215.932858,310950,8,0,3030,3030,28,6300,26.29888916,29.14888954,2.850000381,26.5602462,0.641523579,743.6868935 +3030,MN,389,2,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,95 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,95 AVENUE B CORP,1876,6840,1860,4980,0,1860,0,0,0,0,2,1,4,3,4,20.17,93,20,93, ,3,N,5,2,168750,311400,0,0,1900,2014,0, , ,3.65,4,0,4,1,1003890002,0,2602,989435,203244,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,230.709725,2041.029703,142650,1,1,3031,3031,9,2025,9.168999672,9.168999672,0,9.168999672,0,82.52099705 +3031,MN,640,68,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,28 BETHUNE STREET,R6, , , , , , , , , ,N,C0,2,0,X,NEW YORK UNIVERSITYSC,1689,3360,0,2520,0,0,0,0,0,0,2,1,3,3,3,21,80.42,21,40, ,3,N,5,1,33491,116092,33491,116092,1899,0,0,Greenwich Village Historic District, ,1.99,2.43,0,4.8,1,1006400068,0,79,982235,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,206.207308,1724.098959,82601,8,0,3032,3032,5,1125,11.96800041,13.85000038,1.881999969,12.70880032,0.907489257,63.54400158 +3032,MN,481,33,102,41,6002,2,1,10012,E055,5,15,6800,1,2,1F,183 MULBERRY STREET,C6-1,C6-2G, , , , ,LI, , , ,Y,C7,4,1,P,PARK LANE MANAGEMENTC,6073,24234,1614,22620,0,807,0,0,0,0,2,2,6,43,47,81.25,74.75,40,60, ,3,Y,5,1,116100,1830600,0,0,1920,1983,0, , 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013,10210, ,0, ,1, , ,17V1.1,0,240.8816758,3181.433365,729156,8,0,3035,3035,14,3150,18.61700058,18.61700058,0,18.61700058,0,260.6380081 +3035,MN,416,68,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,145 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,HORSESHOE REALTY .,2179,10593,1766,8827,0,1766,0,0,0,0,2,1,6,10,14,25,87.5,25,85,E,3,N,4,2,225000,897300,0,0,1900,0,0, , ,4.86,4,4,4,1,1004160068,0,3001,987229,201796,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.4530104,2293.146064,672300,13,0,3036,3036,10,2250,34.84777832,35.95822144,1.110443115,34.95882263,0.333132935,349.5882263 +3036,MN,214,2,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,399 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0,P,PONTE EQUITIES INC,2500,7450,2500,4950,0,1250,0,0,0,0,2,2,5,8,11,25,100,25,48, ,2,N,3,2,175500,1141200,0,0,1915,0,0,Tribeca West Historic District, ,2.98,6.02,6,6.5,1,1002140002,0,39,981562,201900,12a, ,101N039,10105, ,0, ,1, , 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,17V1.1,0,236.2910377,2358.339969,243233,12,0,3039,3039,10,2250,12.85000038,15.51333332,2.663332939,13.75711126,1.14316951,137.5711126 +3039,MN,486,22,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,75 GREENE STREET,M1-5A, , , , , , , , , ,N,O5,5,0,P,75-26 SOHO LLC,2250,11223,11223,0,9012,2211,0,0,0,0,2,1,6,0,5,25,90,25,82,E,0,N,5,5,557100,3392550,0,0,1900,2009,2015,SoHo-Cast Iron Historic District, ,4.99,0,5,6.5,1,1004860022,0,49,984000,202875,12c,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,245.3115767,2497.870999,2835450,0,0,3040,3040,12,2700,11.1744442,15.70555592,4.531111717,11.55203684,1.252333121,138.6244421 +3040,MN,591,62,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,55 GROVE STREET,C4-5, , , , , , , , , ,N,O8,5,0, ,BELMA REALTY CORP.,915,2224,1668,556,1668,0,0,0,0,0,2,1,3,2,3,19.83,45.17,19.84,28, ,2,Y,5,2,208350,501750,0,0,1910,2008,0,Greenwich Village Historic District, ,2.43,3.44,3.4,6.5,1,1005910062,0,73,983269,206400,12a, ,103 004,10208, ,0, ,1, , 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,17V1.1,0,270.1348136,2967.990108,527400,13,0,3043,3043,13,2925,29.70800018,32.04999924,2.341999054,29.92685479,0.617616526,389.0491123 +3043,MN,496,29,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,246 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,Z9, ,0, ,246 LAFAYETTE LLC,1299,0,0,0,0,0,0,0,0,0,7,1,0,0,0,26.25,49.5,0,0, ,0,N,5,5,111150,111150,0,0,0,0,0,SoHo-Cast Iron Historic District Extensi, ,0,0,5,6.5,1,1004960029,0,43,985058,202672,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,147.3557864,1182.996743,0,0,0,3044,3044,5,1125,34.92111206,35.61555481,0.694442749,35.06466675,0.2755044,175.3233337 +3044,MN,615,64,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,24 JANE STREET,R6, , , , , , , , , ,N,C4,2,0, ,24-26 JANE REALTY LLC,3587,13341,0,13341,0,0,0,0,0,0,2,3,5,34,34,48,77,48,52, ,0,Y,5,5,313200,1805400,0,0,1910,0,0,Greenwich Village Historic District, ,3.72,2.43,0,4.8,1,1006150064,0,77,983344,208137,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,249.1263115,3694.901482,1492200,8,0,3045,3045,15,3375,21.74111176,24.00222206,2.261110306,22.05771904,0.734595554,330.8657856 +3045,MN,141,25,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,178 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,C2,2,0,P,538 WEST 53RD ST CO I,3192,13500,0,13500,0,0,0,0,0,0,2,1,5,6,6,24.83,127.83,25,112, ,3,N,5,5,113921,454642,0,0,1910,1980,2006,Tribeca West Historic District, ,4.23,6.02,6,6.5,1,1001410025,0,39,981488,200503,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,311.362382,3371.708754,340721,14,0,3046,3046,14,3150,16.8029995,16.8029995,0,16.8029995,0,235.241993 +3046,MN,492,1,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,190 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,D3,3,0, ,190 ELIZABETH REALTYC,2479,11250,0,11250,0,0,0,0,0,0,2,1,6,10,10,25.08,98.83,25,75, ,3,Y,5,0,214500,1160250,0,0,2000,0,0, , ,4.54,6.02,6,6.5,1,1004920001,0,43,985822,202165,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,253.2940109,2537.694666,945750,0,0,3047,3047,11,2475,39.76666641,41.75444412,1.98777771,40.11050484,0.730555186,441.2155533 +3047,MN,303,9,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,81 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,81 BOWERY REALTY CORP,4375,15024,7512,3756,3756,3756,0,0,0,0,2,1,4,5,8,37.5,116.25,37.5,96, ,0,Y,5,2,315000,960300,0,0,1910,0,0, , ,3.43,3.44,6,6.5,1,1003030009,0,16,985533,200381,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,313.6484744,4377.239629,645300,0,0,3048,3048,19,4275,41.4129982,44.2725563,2.859558105,41.56350126,0.638530398,789.7065239 +3048,MN,230,2,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,315 CANAL STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,CANAL SPACE 315 LLC,860,3224,806,2418,0,806,0,0,0,0,2,1,4,2,3,0,0,19.52,41.9, ,0,N,0,5,90124,252000,0,0,1915,2007,0,SoHo-Cast Iron Historic District, ,3.75,0,5,6.5,1,1002300002,0,47,983529,201651,12a, ,101N046,10105, ,1002300001,12/22/2008,1, , ,17V1.1,0,136.0045739,1049.771208,161876,0,1,3049,3049,5,1125,11.39777756,11.39777756,0,11.39777756,0,56.98888779 +3049,MN,563,46,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,57 EAST 11 STREET,C6-1, , , , , , , , , ,N,O6,5,0, ,NAMOR REALTY COMPANY,5576,57585,56735,850,51235,5500,0,0,0,0,2,1,10,1,15,54,103.25,54,93, ,3,N,5,2,594000,3370050,0,0,1903,1988,0, , ,10.33,3.44,6,6.5,1,1005630046,0,61,986368,206382,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,317.0416553,5592.43656,2776050,8,0,3050,3050,25,5625,36.55666733,36.55666733,0,36.55666733,0,913.9166832 +3050,MN,846,64,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,18 EAST 18 STREET,M1-5M, , , , , , , , , ,N,D0,3,0,P,18 EAST 18 STREETS TE,6057,36400,10400,26000,0,10400,0,0,0,0,2,1,6,10,11,73.5,93,74,92, ,2,Y,5,2,702000,4234950,9440,9440,1900,1988,0,Ladies' Mile Historic District, ,6.01,0,5,6.5,1,1008460064,0,52,986804,208098,8d,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,330.3898395,6635.534226,3532950,7,0,3051,3051,29,6525,39.36555481,42.17444611,2.808891296,39.54739393,0.669648702,1146.874424 +3051,MN,392,32,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,157 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,"LIFSHITZ, EDWARD G.P.",1909,4232,1200,3032,0,1200,0,0,0,0,2,1,4,3,4,23,83,23,43, ,3,N,5,5,10402,72400,0,0,1900,1986,0, , ,2.22,4,0,4,1,1003920032,0,28,990371,203715,12c, ,102 022,10203,E-216,0, ,1,1,1,17V1.1,0,219.1438554,2063.861686,61998,12,1,3052,3052,10,2250,7.576999664,9.364444733,1.787445068,7.89986639,0.598836729,78.9986639 +3052,MN,828,27,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,1145 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0, ,1145 NOMAD PARTNERS L,1664,9930,9930,0,6620,1655,0,1655,0,0,2,1,5,0,5,20.67,83.5,21,79,E,3,Y,5,2,253350,853650,0,0,1925,2016,0,Madison Square North Historic District, ,5.97,0,10,10,1,1008280027,0,58,987234,210376,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,211.2956595,1773.474355,600300,2,0,3053,3053,8,1800,42.13444519,43.19522095,1.060775757,42.26704216,0.350818606,338.1363373 +3053,MN,401,55,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,517 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,517 EAST 5TH REALTY C,2474,7244,0,7244,0,0,0,0,0,0,2,1,5,18,18,25.5,97,25.5,54, ,0,N,5,5,270000,1129050,0,0,1900,1946,0, , ,2.93,3,0,3,1,1004010055,0,32,988853,203296,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,252.1418489,2519.227676,859050,1,0,3054,3054,12,2700,14.20666695,17.65333366,3.446666718,15.2290744,1.278950788,182.7488928 +3054,MN,496,30,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,242 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,WORK OF ART LOFT CORP,3375,14961,14961,0,0,2992,0,11969,0,0,2,1,5,8,10,56.08,65.67,56,56, ,2,Y,5,2,337500,1790550,0,0,1910,1986,0,SoHo-Cast Iron Historic District Extensi, ,4.43,0,5,6.5,1,1004960030,0,43,985039,202637,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,248.5455644,3584.859619,1453050,0,0,3055,3055,17,3825,34.36800003,35.5284462,1.160446167,34.51945114,0.31186524,586.8306694 +3055,MN,494,8,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,238 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,S3,4,0, ,"MULBERRY 238 REALTY,",2475,6375,2053,4322,0,2053,0,0,0,0,2,1,4,3,4,25.33,98.58,25,96, ,3,Y,5,5,136351,495857,0,0,1900,1982,0, , ,2.58,6.02,6,6.5,1,1004940008,0,43,985442,202580,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,253.7448199,2472.397034,359506,0,0,3056,3056,10,2250,38.86500168,42.16277695,3.297775269,39.19477921,0.989332581,391.9477921 +3056,MN,349,21,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,45 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,2500,9960,1000,8960,0,1000,0,0,0,0,2,1,5,9,10,25,100,25,84, ,0,N,5,5,66969,469709,0,393424,1900,1992,0, , ,3.98,4,0,4,1,1003490021,0,3001,988425,201552,12c, ,102 005,10201, ,0, ,1, , 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OLDENBURG RE,2113,10350,10350,0,8100,0,2025,225,0,0,2,1,5,0,1,25,84.5,25,84, ,3,N,5,2,180000,1192950,0,0,1900,0,0, , ,4.9,0,10,10,1,1004910029,0,37,982721,203251,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,224.9793529,2233.4229,1012950,0,0,3082,3082,11,2475,15.03499985,19.51000023,4.475000381,15.65893936,1.396341432,172.248333 +3082,MN,886,21,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,160 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,W6,8,0,P,WALSAM 160 LEXINGTON,3160,21688,21688,0,0,0,0,0,0,21688,2,1,7.5,0,1,39.5,80,39,80, ,2,N,3,2,1001250,2426400,0,0,1895,1987,0, ,PRATT-NEW YORK PHOENIX SCHOOL OF DE,6.86,6.02,6,6.5,1,1008860021,0,72,989314,210370,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,256.3854576,3635.189729,1425150,10,0,3083,3083,16,3600,32.97955322,33.23199844,0.252445221,33.20588732,0.070779088,531.2941971 +3083,MN,479,26,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,29 KENMARE STREET,C6-1, , , , , ,LI, , , ,N,K1,5,0,P,"TRAN-LI, 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,0,Y,5,5,2371500,13324500,0,0,1912,0,0, , ,12.57,0,10,10,1,1008060026,0,101,986880,211742,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,461.6161011,11657.28371,10953000,6,0,3086,3086,51,11475,37.55799866,40.9655571,3.407558441,37.80102277,0.738110277,1927.852161 +3086,MN,435,8,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,130 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"KUROWYCKY, ZENON",1390,5745,1000,4745,0,1000,0,0,0,0,2,1,5,8,10,25.75,54,26,54, ,3,N,5,2,60946,208516,0,0,1900,1986,0, , ,4.13,4,0,4,1,1004350008,0,32,988357,204268,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,168.2010851,1567.993342,147570,12,0,3087,3087,7,1575,20.24200058,20.24200058,0,20.24200058,0,141.6940041 +3087,MN,461,23,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,230 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,230 E 6TH STREET LLC,2425,8940,0,8940,0,0,0,0,0,0,2,1,5,10,10,25,97,25,79, ,3,N,5,2,45709,182933,0,0,1920,1976,1987,East Village/Lower East Side Historic Di, ,3.69,4,0,4,1,1004610023,0,38,987176,204340,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.270022,2527.648628,137224,1,0,3088,3088,11,2475,36.55199814,37.54111099,0.989112854,36.64191749,0.284349953,403.0610924 +3088,MN,635,15,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,39 BETHUNE STREET,C1-6A, , , , , , , , , ,N,A9,1,0,P,JOHN K HOYNS,1740,760,0,760,0,0,0,0,0,0,2,2,3,1,1,22,79.1,66,78, ,3,Y,5,1,48245,95542,0,0,1899,0,0,Greenwich Village Historic District, ,0.44,4,2,4,1,1006350015,0,79,982081,207718,12a, ,103 013,10210, ,1006350015,9/30/1988,1, , ,17V1.1,0,172.4631692,1449.600048,47297,8,0,3089,3089,10,2250,12.73777771,13.39666653,0.658888817,13.2902442,0.184774012,132.902442 +3089,MN,790,7504,104,81,4000,2,3,10011,L012,13,15,5600,1,4, ,135 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,5165,21172,2501,18671,0,2501,0,0,0,0,2,1,8,9,10,50,103.3,50,103,E,3,N,5,5,195980,2203584,2360,2360,1906,2004,0, , ,4.1,6.02,6,6.5,1,1007907504,1887,81,984725,208253,8d, ,103 028,10305, ,1007900016,10/21/2008,1, , ,17V1.1,3,309.5168217,5180.35958,2007600,7,0,3090,3090,24,5400,27.73777771,27.79066658,0.05288887,27.73998141,0.010568588,665.7595539 +3090,MN,930,42,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,328 EAST 25 STREET,R8, , , , , , , , , ,N,S9,4,0, ,"328 EAST REALTY,",2469,5375,1185,4190,0,1185,0,0,0,0,2,1,2,2,4,25,98.75,22,40,E,0,N,5,5,214222,481965,0,0,1910,0,0, , ,2.18,6.02,0,6.5,1,1009300042,0,66,990144,208298,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,255.5842538,2529.297444,267743,11,0,3091,3091,11,2475,18.30599976,19.62555504,1.319555283,18.42595933,0.379345472,202.6855526 +3091,MN,459,5,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,355 BOWERY,C6-1, , , , , , , , , ,N,C7,4,0,P,"HO, BO YOK",3060,6281,1900,4381,0,1900,0,0,0,0,2,2,3.5,7,9,34.83,87.83,35,88,E,3,N,5,2,64293,300747,0,0,1900,1987,0, , ,2.05,3.44,6,6.5,1,1004590005,0,38,986656,204019,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,242.2733495,3047.469327,236454,1,0,3092,3092,14,3150,35.86666489,41.29333496,5.426670074,36.51894297,1.630532175,511.2652016 +3092,MN,818,39,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,3 WEST 16 STREET,C6-2M, , , , , , , , , ,N,S5,4,0, ,"3 WEST 16TH STREET, L",3073,18074,5302,12772,0,3036,0,2266,0,0,2,1,6,5,6,33.33,92,33,92,E,3,N,5,0,537770,1788384,0,0,1920,1984,2003, , ,5.88,6.02,6,6.5,1,1008180039,0,54,986124,208079,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,257.663609,3185.544033,1250610,7,0,3093,3093,14,3150,31.11599922,31.11599922,0,31.11599922,0,435.6239891 +3093,MN,620,33,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,229 WEST 10 STREET,C1-6, , , , , , , , , ,N,Y2,8,0,C,POLICE DEPARTMENT,17300,30489,30489,0,30489,0,0,0,0,0,2,1,2,0,1,88.83,192.25,88.84,120, ,3,Y,4,0,3514500,5653350,3514500,5653350,1969,0,0,Greenwich Village Historic District, ,1.76,3.44,2,6.5,1,1006200033,0,73,982752,206773,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,620.7643975,17464.93574,2138850,9,0,3094,3094,78,17550,22.63400078,25.78666687,3.152666092,23.3702654,1.006408355,1822.880701 +3094,MN,279,22,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,45 ST JAMES PLACE,R7-2, , , ,C2-5, , , , , ,N,C7,4,0, ,"DMHZ CORP.,",3153,18055,2665,15390,0,2665,0,0,0,0,2,1,6,20,21,13,123.75,13,110, ,3,Y,3,2,127800,800550,0,0,1900,1987,0, , ,5.73,3.44,0,6.5,1,1002790022,0,27,984645,198870,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,293.4534561,3209.693252,672750,16,0,3095,3095,14,3150,16.23777771,17.45177841,1.214000702,16.32449205,0.312652984,228.5428886 +3095,MN,410,10,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,138 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,BLAKE-RIV REALTY LLC,2207,9068,1800,7268,0,1800,0,0,0,0,2,1,5,16,18,25.08,88,25,71, ,2,N,5,2,256950,1129500,0,0,1900,0,0, , ,4.11,4,4,4,1,1004100010,0,18,987281,201550,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,234.7578891,2307.027737,872550,13,0,3096,3096,10,2250,33.47900009,35.83300018,2.354000092,34.10056686,0.869505497,341.0056686 +3096,MN,348,5,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,104 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,"DOM III NY, LLC",2525,9858,0,9858,0,0,0,0,0,0,2,1,5,20,20,25.25,100,25,89, ,3,N,5,2,202500,1067400,0,0,1920,1988,0, , ,3.9,4,0,4,1,1003480005,0,1402,988126,201078,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,251.2121221,2492.844249,864900,13,0,3097,3097,11,2475,24.76333427,28.88222313,4.118888855,25.13777872,1.184097292,276.5155659 +3097,MN,847,24,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,874 BROADWAY,M1-5M, , , , , , , , , ,N,D0,3,0,P,MACINTYRE BUILDING C,4575,43073,5600,37473,0,5600,0,0,0,0,2,1,12,23,24,24.08,88.33,24,86, ,3,Y,3,2,742500,6983550,14160,14160,1900,1981,0,Ladies' Mile Historic District, ,9.41,0,5,6.5,1,1008470024,0,52,987085,208072,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,357.0561509,4895.348999,6241050,7,0,3098,3098,21,4725,36.35800171,43.41222382,7.054222107,36.69391705,1.502259063,770.572258 +3098,MN,506,27,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,2 CHARLTON STREET,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,2 CHARLTON OWNERS COR,16342,172836,27740,145096,0,8640,19100,0,0,0,2,1,16,175,181,203.25,109.25,193,96, ,1,Y,3,2,1719000,15361200,480303,480303,1966,1986,0, , ,10.58,3.44,0,6.5,1,1005060027,0,37,983169,204020,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,598.4909884,17501.6991,13642200,0,0,3099,3099,77,17325,21.57500076,25.71777916,4.142778397,21.84417806,0.679717205,1682.001711 +3099,MN,543,67,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,133 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0, ,133 WEST THIRD LLC,2550,6158,750,5408,0,750,0,0,0,0,2,3,4,9,10,25,100.25,25,39, ,0,Y,5,5,151915,494148,0,0,1900,0,0,South Village Historic District, ,2.41,3.44,0,6.5,1,1005430067,0,65,984050,205588,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,253.8357789,2520.114011,342233,9,0,3100,3100,10,2250,18.49900055,18.49900055,0,18.49900055,0,184.9900055 +3100,MN,393,11,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,608 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,608 ASSETS,2369,10276,0,10276,0,0,0,0,0,0,2,1,6,12,12,25,94.75,25,95, ,3,N,5,2,211500,910350,0,0,2003,0,0, , ,4.34,4,0,4,1,1003930011,0,28,990066,204156,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,239.9299317,2248.069427,698850,12,1,3101,3101,11,2475,7.409999847,9.81000042,2.400000572,7.785444346,0.80915074,85.63988781 +3101,MN,670,70,104,99,1032,2,3,10001,E003,10,15,5500,1,4,2B,231 11 AVENUE,M1-5, , , , , , , , , ,N,E7,6,0,P,BULGROUP COLORADO LLC,23848,217350,217350,0,61177,2990,0,0,153183,0,2,1,9,0,11,352.08,67.67,345.08,67.67, ,0,N,5,5,1717200,9498150,0,0,1913,2014,0,West Chelsea Historic District, ,9.11,0,5,6.5,1,1006700070,0,99,982463,212862,8b, ,105S001,10301, ,1006700050,11/28/1988,1,1,1,17V1.1,0,850.2154269,24596.95807,7780950,2,1,3102,3102,110,24750,6.201000214,10.01555538,3.814555168,6.374049685,0.613825071,701.1454654 +3102,MN,799,42,104,91,1003,2,3,10010,E001,13,15,5200,1,4,2A,729 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K9,5,0, ,GARY KASAKIAN,1636,6444,4794,1650,0,1600,0,3194,0,0,2,1,4,0,4,24.67,66.25,25,66, ,3,N,3,2,301500,1029150,0,0,1920,1987,0, , ,3.94,10,10,10,1,1007990042,0,91,986287,210183,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,188.8949411,1821.87548,727650,2,0,3103,3103,9,2025,29.37700081,33.78111267,4.404111862,30.32779079,1.779749643,272.9501171 +3103,MN,452,52,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,211 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"211 EAST 10TH STREET,",2369,11436,0,11436,0,0,0,0,0,0,2,1,6,20,20,25,94.75,25,85, ,3,N,5,2,232200,1227600,0,0,1900,0,0, , ,4.83,4,0,4,1,1004520052,0,40,988149,205107,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,249.8937003,2464.751734,995400,12,0,3104,3104,11,2475,22.86222267,26.08333397,3.221111298,23.15505097,0.926004391,254.7055607 +3104,MN,606,92,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,117 WEST 10 STREET,R6, , , , , , , , , ,N,S2,4,0, ,WEST TENTH STREET PRO,1150,3000,990,2010,0,990,0,0,0,0,2,1,3,2,3,19.17,60,19.17,42, ,3,N,5,2,52216,130221,0,0,1910,0,0,Greenwich Village Historic District, ,2.61,2.43,0,4.8,1,1006060092,0,71,984389,207022,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,164.5932263,1253.528798,78005,8,0,3105,3105,6,1350,19.72333336,19.94133377,0.218000412,19.75966676,0.081243957,118.5580006 +3105,MN,516,14,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,152 THOMPSON STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,THOMPSON ASSETS LLC,4908,20195,0,20195,0,0,0,0,0,0,2,1,6,30,30,49,100.17,49,83, ,2,Y,3,2,490500,2381850,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.11,3.44,0,6.5,1,1005160014,0,49,984090,204135,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,310.2417449,5101.721914,1891350,9,0,3106,3106,23,5175,17.67111206,24.0755558,6.404443741,18.69125673,2.129349404,429.8989048 +3106,MN,30,5,101,9,1012,2,1,10004,L015,1,15,7700,1,1,1B,80 PEARL STREET,C5-5, , , , , ,LM, , , ,N,L2,6,0, ,WATER/PEARL ASSOCIATE,7800,85472,85472,0,0,5000,0,80472,0,0,2,1,11,0,3,59.75,135.67,60,138, ,2,Y,4,2,2518650,3876300,0,0,1929,2016,0, , ,10.96,10,15,15,1,1000300005,0,9,981456,195681,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,410.0951734,8387.835115,1357650,17,1,3107,3107,37,8325,7.721999645,7.721999645,0,7.721999645,0,285.7139869 +3107,MN,132,3,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,69 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,69 MURRAY COMMERCIAL,2492,22152,2350,19802,0,2350,0,0,0,0,2,1,10,8,9,24.92,100,25,100, ,3,N,5,2,444912,1463202,4720,4720,1920,1982,0, , ,8.89,6.02,6,6.5,1,1001320003,0,21,981393,199669,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,266.5091795,2807.280439,1018290,3,0,3108,3108,13,2925,17.78899956,17.95000076,0.161001205,17.93761605,0.042901887,233.1890087 +3108,MN,525,16,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,183 THOMPSON STREET,R7-2, , , , , , , , , ,N,C1,2,0,P,TOM SULLIVAN LLC,5708,28623,0,28623,0,0,0,0,0,0,2,1,7,55,55,57.08,100,48,86, ,2,N,5,2,332100,3186900,0,0,1900,1985,0,South Village Historic District, ,5.01,3.44,0,6.5,1,1005250016,0,65,984191,204565,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,326.0306708,6062.235471,2854800,9,0,3109,3109,28,6300,23.62666702,23.62666702,0,23.62666702,0,661.5466766 +3109,MN,537,7503,102,65,5001,2,1,10012,L009,6,15,5700,2,2, ,70 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,2920,9500,3500,6000,0,0,0,3500,0,0,2,1,3,3,4,0.06,0,0,0, ,0,N,0,5,167059,925921,2360,2360,1920,0,0,South Village Historic District, ,3.25,3.44,0,6.5,1,1005377503,1255,65,984684,204989,12c, ,103 007,10207, ,1005370016,12/12/2002,1, , ,17V1.1,7,288.3025122,2968.11371,758862,9,0,3110,3110,14,3150,27.39777756,28.85666656,1.458889008,27.50198392,0.375721366,385.0277748 +3110,MN,764,36,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,203 WEST 14 STREET,C6-3A, , , , , , , , , ,N,C7,4,0, ,203 W 14TH ST CORP,2400,11025,3650,7375,1525,2125,0,0,0,0,2,1,6,9,11,25,96,25,94,E,3,N,5,2,216000,886950,0,0,1920,0,0, , ,4.59,7.52,6,7.5,1,1007640036,0,81,984308,208475,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,265.8001113,2890.700764,670950,7,0,3111,3111,12,2700,24.42199898,27.36555672,2.943557739,24.66729546,0.813556381,296.0075455 +3111,MN,887,22,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,182 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S2,4,0, ,182 LEX REALTY LLC,1025,5016,2042,2974,0,2042,0,0,0,0,2,1,4,2,3,21.42,47.83,21.5,47.5, ,3,N,5,5,79200,305760,0,0,1920,2003,2003, , ,4.89,6.02,6,6.5,1,1008870022,0,72,989460,210600,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,147.6034406,1181.244245,226560,10,0,3112,3112,4,900,29.31800079,29.31800079,0,29.31800079,0,117.2720032 +3112,MN,797,7,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,163 WEST 21 STREET,C6-3A, , , , , , , , , ,N,D7,4,0, ,155 W. 21ST ST. LLC,9867,128163,12405,115758,0,3000,9405,0,0,0,2,1,15,108,110,99.96,98.75,20,50, ,0,N,5,2,1350000,18013500,0,15994292,2005,0,0, , ,12.99,7.52,6,7.5,1,1007970007,0,87,985426,209866,8d, ,103 030,10305, ,1007970007,2/13/2009,1, , ,17V1.1,0,410.7287507,10541.56091,16663500,7,0,3113,3113,47,10575,28.16444397,29.32699966,1.162555695,28.1891792,0.167762475,1324.891422 +3113,MN,348,22,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,87 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,EIGHTY SEVEN CLINTONE,2500,8440,1400,7040,0,1400,0,0,0,0,2,1,5,13,17,25,100,25,80, ,0,N,5,2,135000,445500,0,0,1920,0,0, , ,3.38,4,0,4,1,1003480022,0,1402,988267,201157,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,259.5331724,2674.369185,310500,13,0,3114,3114,14,3150,24.76333427,24.76333427,0,24.76333427,0,346.6866798 +3114,MN,425,19,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,5 RIVINGTON STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,5 RIVINGTON STREET LL,2565,9782,1000,8782,0,1000,0,0,0,0,2,1,5,16,18,28.75,99.5,29,68, ,3,Y,5,2,90000,355050,0,0,1900,1985,0, , ,3.81,3.44,6,6.5,1,1004250019,0,18,986200,202047,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,251.8381649,2513.922387,265050,13,0,3115,3115,12,2700,38.80888748,43.33666611,4.527778625,39.18620237,1.251411903,470.2344284 +3115,MN,915,7501,106,78,4002,2,2,10016,L007,17,13,5000,2,6, ,225 EAST 34 STREET,C1-9A, , , , , , , , , ,N,RM,4,0, , ,15800,206121,12586,193535,12586,0,0,0,0,0,2,1,22,191,192,160,98.75,98,160, ,0,N,3,5,2250011,32136320,0,5947191,2007,1971,0, , ,13.05,10,2,10,1,1009157501,1765,78,990670,210879,8d, ,104 022,10308,E-62,1009150019,11/15/2007,1, , ,17V1.1,7,524.0202309,16325.66845,29886300,10,0,3116,3116,71,15975,18.38999939,23.90666771,5.51666832,18.46769894,0.650081107,1311.206625 +3116,MN,753,73,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,358 WEST 30 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,WEST 30TH STREET ASSO,1811,4014,0,4014,0,0,0,0,0,0,2,1,3,6,6,18.33,98.75,18,76,E,3,N,5,2,60435,513216,0,0,1900,1987,0, , ,2.22,4,0,4,1,1007530073,0,97,984913,212666,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,236.4428915,1797.092617,452781,6,0,3117,3117,9,2025,34.23199844,36.88022232,2.648223877,34.7641716,1.002747829,312.8775444 +3117,MN,552,51,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,114 WAVERLY PLACE,R7-2, , , , , , , , , ,N,C3,2,0, ,MARTIN CELESTE,2138,4974,0,4974,0,0,0,0,0,0,2,1,4,4,4,22,97.17,22,55,E,3,N,5,5,279448,427458,0,0,1900,0,0,Greenwich Village Historic District, ,2.33,3.44,0,6.5,1,1005520051,0,65,984413,206091,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,244.1046158,2114.081951,148010,9,0,3118,3118,10,2250,17.50333405,18.22444534,0.721111298,17.57544518,0.216333389,175.7544518 +3118,MN,644,41,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,32 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,5350,9658,9658,0,4718,4940,0,0,0,0,2,3,2,0,1,34.67,86.75,34.67,55,E,3,Y,5,0,225000,4311450,0,0,1920,2002,0,Gansevoort Market Historic District, ,1.81,0,5,6.5,1,1006440041,0,79,982157,208853,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,414.5254768,5647.037024,4086450,8,1,3119,3119,26,5850,13.01955509,13.47799969,0.458444595,13.4603672,0.088162422,349.9695473 +3119,MN,423,29,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,244 GRAND STREET,C6-3A, , , , , , , , , ,N,O5,5,0, ,WANSAM REALTY CORP,1875,11203,11203,0,9328,1875,0,0,0,0,2,1,6,0,7,25,75,25,75, ,0,N,5,5,247500,1831050,0,0,1920,2008,0, , ,5.97,7.52,6,7.5,1,1004230029,0,18,985860,201032,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,208.9693192,2091.81256,1583550,0,0,3120,3120,8,1800,34.16999817,34.16999817,0,34.16999817,0,273.3599854 +3120,MN,772,80,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,266 WEST 23 STREET,C2-7A, , , , , , , , , ,N,S9,4,0, ,"266 WEST 23RD STREET,",1863,7546,3018,4528,1509,1509,0,0,0,0,2,1,5,3,5,23.58,79,23.58,64, ,0,N,5,5,373405,863067,0,0,1920,1986,0, , ,4.05,7.52,2,7.5,1,1007720080,0,91,984732,210672,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,215.0373194,2049.863617,489662,2,0,3121,3121,8,1800,22.16600037,23.06888771,0.902887344,22.37966681,0.370865706,179.0373344 +3121,MN,416,53,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,172 ALLEN STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,172 ALLEN REALTY CORP,2644,7665,7665,0,0,5110,0,0,0,2555,2,1,2,0,5,35.25,75,35,73, ,3,Y,3,2,292500,1188000,0,0,1920,1986,0, , ,2.9,4,4,4,1,1004160053,0,3001,987319,202102,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,230.9359039,2887.585675,895500,1,0,3122,3122,12,2700,33.08889008,35.09444427,2.005554199,33.32990837,0.585330765,399.9589005 +3122,MN,411,4,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,152 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,MOUSSERIE MOSHE,2195,6927,2193,4734,0,2193,0,0,0,0,2,1,4,9,10,24.92,88,25,51, ,3,N,5,2,362357,649529,0,0,1962,1987,2003, , ,3.16,4,4,4,1,1004110004,0,3001,987398,201853,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,229.5988577,2204.976663,287172,13,0,3123,3123,9,2025,31.68099976,34.5581131,2.877113342,32.00067902,0.904189491,288.0061111 +3123,MN,382,100,103,28,4003,1,2,10009,L011,9,14,6300,1,3,4A,162 AVENUE C,R7-2, , , , , , , , , ,N,D4,3,0,P,VILLAGE EAST TOWERS I,133722,553660,0,553660,0,0,0,0,0,0,2,5,10,439,439,352.83,367,54.83,155.83, ,0,Y,3,5,4950000,12477150,4950000,12477150,1950,0,0, , ,4.14,3.44,0,6.5,1,1003820100,0,28,990771,203810,12c, ,102 031,10202, ,0, ,1,1,1,17V1.1,0,1480.313519,130232.8372,7527150,12,1,3124,3124,581,130725,7.147777557,11.52444458,4.376667023,8.567675526,0.519627021,4977.81948 +3124,MN,745,53,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,328 WEST 22 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,JOSEPH E NEUHAUS,2074,4772,0,3467,0,0,0,0,0,0,2,1,3,2,2,21,98.75,21,44,E,3,N,5,1,81049,162651,0,0,1910,0,0,Chelsea Historic District Extension, ,2.3,3,0,3,1,1007450053,0,89,984144,210692,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,239.3761456,2025.137424,81602,7,0,3125,3125,9,2025,15.9989996,18.87333298,2.874333382,16.31836997,0.903315834,146.8653297 +3125,MN,827,41,105,58,1004,2,2,10010,E001,13,15,5700,1,5,1B,206 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,WEXLER ASSOCIATES,3014,15171,15171,0,12649,2522,0,0,0,0,2,1,5,0,5,28.17,112,28,108, ,3,Y,5,2,621000,2691900,0,0,1980,0,0,Madison Square North Historic District, ,5.03,10,10,10,1,1008270041,0,58,987353,210047,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,282.981314,3274.484568,2070900,2,0,3126,3126,15,3375,40.94300079,40.94300079,0,40.94300079,0,614.1450119 +3126,MN,928,9,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,321 EAST 22 STREET,R8B, , , , , , , , , ,N,D6,4,0, ,BRG 321 LLC,14878,81500,1500,80000,0,1500,0,0,0,0,2,1,6,115,116,150.67,98.75,122,97, ,2,N,5,2,1764000,10996650,0,0,1968,1985,0, , ,5.48,4,0,4,1,1009280009,0,64,989728,207777,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,499.8109362,15033.38493,9232650,11,0,3127,3127,69,15525,14.22500038,17.45888901,3.233888626,14.6315687,0.948342452,1009.57824 +3127,MN,624,7503,102,77,4002,2,3,10014,L005,6,15,6100,3,2, ,302 WEST 12 STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,302 WEST 12TH STREET,10462,123604,6762,116842,4858,1904,0,0,0,0,2,1,17,128,131,59.21,84.04,0,0, ,0,Y,5,5,1725747,17122052,107360,144472,1910,0,0,Greenwich Village Historic District, ,11.81,3.44,2,6.5,1,1006247503,439,77,982956,207897,12a, ,103 016,10210, ,1006240038,8/29/1988,1, , ,17V1.1,7,407.1915541,10517.4825,15396300,8,0,3128,3128,47,10575,20.58111191,21.10222244,0.521110535,20.59647832,0.080013803,968.034481 +3128,MN,592,24,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,349 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S3,4,0,P,"IOLE REALTY CO., .",1462,5756,1096,4660,0,1096,0,0,0,0,2,1,4,3,4,22,66,22,66,E,3,Y,5,5,407400,929500,0,0,1910,2005,0,Greenwich Village Historic District, ,3.94,3.44,0,6.5,1,1005920024,0,71,983960,205977,12c,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,178.5377699,1432.148618,522100,9,0,3129,3129,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +3129,MN,525,32,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,128 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,THE SEIDMAN FAMILY LI,2500,12590,1680,10910,0,1680,0,0,0,0,2,1,6,20,22,25,100,25,100,E,3,N,3,2,391500,1946250,0,0,1900,1986,2015,South Village Historic District, ,5.04,3.44,0,6.5,1,1005250032,0,65,983953,204458,12a,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,259.068001,2798.214833,1554750,9,0,3130,3130,13,2925,23.62666702,25.79222298,2.165555954,23.79324825,0.577054298,309.3122272 +3130,MN,828,24,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,11 1/2 WEST 26 STREET,M1-6, , , , , , , , , ,N,S9,4,0, ,11 WEST 26 STREET LL,1641,6139,2750,3389,0,1550,0,0,0,1200,2,1,5,6,9,20.17,62.67,20.17,53, ,0,Y,5,2,45564,225175,0,0,1905,0,0,Madison Square North Historic District, ,3.74,0,10,10,1,1008280024,0,58,987187,210393,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,250.4651843,1763.389941,179611,2,0,3131,3131,8,1800,42.13444519,42.13444519,0,42.13444519,0,337.0755615 +3131,MN,470,20,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,123 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,H C K D REALTY CORP,2000,6500,520,5980,0,520,0,0,0,0,2,1,5,10,12,25,80,25,51, ,3,Y,5,1,58500,459000,0,0,1900,1981,0, , ,3.25,6.02,6,6.5,1,1004700020,0,41,985449,201385,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,215.2339881,2060.985972,400500,0,0,3132,3132,8,1800,28.80888939,33.82555389,5.016664505,31.26541662,2.457320364,250.123333 +3132,MN,344,169,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,174 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,HOOSHANG RLTY CORP,2500,9525,600,8925,0,600,0,0,0,0,2,1,5,25,27,25,100,25,84, ,3,N,5,1,243000,621450,0,0,1920,1987,0, , ,3.81,4,0,4,1,1003440169,0,2201,988565,201264,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,260.2877223,2660.716014,378450,1,0,3133,3133,12,2700,22.93000031,26.04111099,3.111110687,23.18925953,0.859865569,278.2711143 +3133,MN,590,64,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,15 BARROW STREET,R6, , , , , , , , , ,N,S4,4,0, ,RAGANATI REALTY CORP,2027,7702,1100,6602,0,1100,0,0,0,0,2,1,4,4,5,25,81.08,25,78, ,3,N,5,5,193920,443098,0,0,1910,1968,0,Greenwich Village Historic District, ,3.8,2.43,0,4.8,1,1005900064,0,67,983552,206154,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,218.672198,2069.945608,249178,9,0,3134,3134,10,2250,19.74111176,20.96333313,1.222221375,19.86333389,0.366666412,198.6333389 +3134,MN,740,7502,104,83,1001,2,3,10011,L012,10,15,5600,1,4, ,346 WEST 17 STREET,R8B, , , , , , , , , ,N,RC,5,0, , ,25300,183484,6664,0,0,6664,0,0,0,0,2,1,12,0,2,175,184,175,180,E,3,Y,0,5,5715001,34400250,0,6921450,1966,2008,0, , ,7.25,4,0,4,1,1007407502,2329,83,983300,209714,8b, ,103 037,10303, ,1007400055,8/8/2012,1, , ,17V1.1,7,918.2387911,26104.06476,28685200,7,0,3135,3135,117,26325,15.59444427,17.35000038,1.755556107,15.61345853,0.165662602,1826.774648 +3135,MN,174,7502,101,33,1005,2,1,10013,L001,1,15,7700,3,1, ,95 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,4209,20094,1233,18861,0,1233,0,0,0,0,2,1,7,8,9,48.25,100,48.75,90, ,0,Y,0,5,65267,1117005,9440,9440,1915,0,0,Tribeca East Historic District, ,4.77,6.02,6,6.5,1,1001747502,1397,33,982824,200853,12a, ,101S033,10105, ,1001740017,12/9/2004,1, , ,17V1.1,7,308.8936316,4506.261539,1051740,14,0,3136,3136,21,4725,21.5755558,23.26888847,1.693332672,21.65619069,0.360610187,454.7800045 +3136,MN,409,60,103,18,2001,2,1,10002,E015,7,14,7400,1,3,2B,232 BROOME STREET,C6-1, , , , , , , , , ,N,K4,4,0,P,EISNER BROTHERS REALT,5296,12876,12876,0,0,3600,0,9276,0,0,2,1,4,0,1,51,96,37,87, ,1,N,3,2,357300,850500,0,0,1920,0,0, , ,2.43,3.44,6,6.5,1,1004090060,0,18,987358,200826,12c, ,101N079,10204, ,1004090060,3/4/1986,1, , ,17V1.1,0,308.0779334,5324.58175,493200,13,0,3137,3137,24,5400,33.34555435,35.02444458,1.678890228,33.92157443,0.448057507,814.1177864 +3137,MN,67,23,101,15.02,1006,2,1,10038,E004,1,15,7700,1,1, ,56 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,O4,5,1,P,MAIDEN & NASSAU LLC,23382,558327,558327,0,553501,4826,0,0,0,0,2,1,27,0,7,178.17,128.75,157,115, ,2,N,3,2,9855000,57946950,0,0,1986,1989,0, , ,23.88,10,15,15,1,1000670023,0,1502,981899,197629,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,644.4054632,23700.06603,48092000,4,0,3138,3138,107,24075,19.4011116,31.01222229,11.61111069,22.42964158,2.637469168,2399.971649 +3138,MN,754,39,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,409 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0, ,409 RIGGIO LLC,2469,4444,4444,0,0,2222,0,0,0,2222,2,1,2,0,3,24.71,100,25,88, ,3,N,5,2,237600,542700,0,0,1920,1989,0, , ,1.8,9,6,9,1,1007540039,0,103,985519,212549,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,256.4768858,2733.435108,305100,6,0,3139,3139,12,2700,29.79800034,30.65888977,0.860889435,29.92250029,0.282246358,359.0700035 +3139,MN,914,4,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,495 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,33RD STREET INVESTORS,2007,8425,1600,6825,0,1600,0,0,0,0,2,1,5,12,13,24.75,80,25,66, ,3,N,5,2,271800,1244700,0,0,1910,0,0, , ,4.2,10,2,10,1,1009140004,0,70,990312,210786,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,219.8335546,2147.642124,972900,10,0,3140,3140,10,2250,22.00200081,25.15489006,3.152889252,22.31728973,0.945866776,223.1728973 +3140,MN,412,41,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,164 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,DDCM 164 LUDLOW LLC,2327,9735,1945,7790,0,1945,0,0,0,0,2,1,5,16,17,26,89.5,26,72, ,3,N,5,2,405000,1730250,0,0,1880,1987,0, , ,4.18,4,4,4,1,1004120041,0,3001,987727,202073,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,235.7181733,2424.079139,1325250,1,0,3141,3141,11,2475,30.23399925,33.23222351,2.998224258,30.67392887,0.965293951,337.4132175 +3141,MN,434,35,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3A,97 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,97 AVENUE A LIMITED L,2300,5328,2267,3061,0,2267,0,0,0,0,2,1,4,3,4,22.67,100,23,100, ,3,N,5,5,108659,161695,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.32,4,0,4,1,1004340035,0,32,988649,203683,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,254.8001695,2552.255422,53036,1,0,3142,3142,12,2700,18.26222229,18.26222229,0,18.26222229,0,219.1466675 +3142,MN,297,7503,103,16,5000,2,1,10002,E015,7,14,7400,2,3, ,7 ESSEX STREET,C6-2, , , , , , , , , ,N,R4,3,0, , ,5250,35858,0,35858,0,0,0,0,0,0,2,3,12,19,19,60,87.5,60,80, ,0,N,5,5,391498,4178250,2360,2360,2002,0,0, , ,6.83,6.02,6,6.5,1,1002977503,1312,16,986920,199761,12d, ,11N 051,10107, ,1002970027,10/31/2003,1, , ,17V1.1,7,300.8015766,5424.87374,3786750,13,0,3143,3143,24,5400,32.98300171,36.84222412,3.859222412,33.34981171,0.902114233,800.3954811 +3143,MN,851,61,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,16 EAST 23 STREET,C6-4M, , , , , , , , , ,N,D0,3,0, ,16 MADISON SQUARE COR,2452,13837,4000,9837,0,4000,0,0,0,0,2,1,6,7,8,25,98.75,25,85,E,0,N,5,2,288318,1152360,7080,7080,1900,1982,2015, , ,5.64,10,10,10,1,1008510061,0,56,987488,209133,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,258.528042,2617.598834,864042,11,0,3144,3144,11,2475,32.49111176,32.49111176,0,32.49111176,0,357.4022293 +3144,MN,223,31,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,444 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,G1,10,0,P,PONTE EQUITIES INC,3360,3360,3360,0,0,0,1142,2218,0,0,2,1,1,0,1,42,80,42,80,E,2,N,5,0,189000,620550,0,0,1920,0,0,Tribeca North Historic District, ,1,6.02,6,6.5,1,1002230031,0,39,981517,202729,12a, ,101N040,10105,E-257,0, ,1, ,1,17V1.1,0,250.583233,3493.482245,431550,0,1,3145,3145,14,3150,9.881999969,11.08444405,1.202444077,9.967888832,0.309676698,139.5504436 +3145,MN,391,11,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,608 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,608 REALTY CORP,2583,11496,0,11496,0,0,0,0,0,0,2,1,6,24,24,27.5,93.92,28,78, ,3,N,5,2,135000,1015650,0,0,1910,0,0, , ,4.45,4,0,4,1,1003910011,0,2602,989825,203725,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,249.6435764,2718.292634,880650,12,1,3146,3146,13,2925,8.318888664,8.318888664,0,8.318888664,0,108.1455526 +3146,MN,336,35,103,12,1007,1,1,10002,L018,7,14,7600,1,3,2B,10 PITT STREET,R8, , , , , , , , , ,N,G7,10,0,P,ANSCHEL BIALYSTOCK,5795,0,0,0,0,0,0,0,0,0,7,1,0,0,0,74.08,81.79,0,0, ,0,Y,5,5,445500,445500,445500,445500,0,0,0, , ,0,6.02,0,6.5,1,1003360035,0,12,988794,200003,12c,Y,101N081,10201, ,0, ,1, , ,17V1.1,0,295.0245653,5431.572391,0,13,0,3147,3147,25,5625,24.11899948,31.67333221,7.554332733,29.49954208,1.546321646,737.4885521 +3147,MN,548,12,102,59,3001,2,1,10003,E033,6,15,5700,1,2,3A,36 EAST 8 STREET,C1-7,R7-2, , , , , , , , ,Y,J9,5,0,P,NEW YORK UNIVERSITY,11151,30575,19365,11210,2000,3450,0,0,0,13915,2,1,3,7,13,100.17,114.92,100.16,114.92, ,3,Y,3,2,1125000,3340350,900000,2520192,1940,1984,0, , ,2.74,6.02,2,6.5,1,1005480012,0,59,985793,205667,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,444.2747464,12300.67405,2215350,8,0,3148,3148,54,12150,31.75444603,33.25299835,1.498552322,33.17342649,0.297846902,1791.36503 +3148,MN,408,13,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,247 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,BROOME STREET ASSOCIA,2187,8695,1000,7694,0,1000,0,0,0,0,2,1,5,20,21,25,87.5,25,76, ,2,N,5,1,225000,1168650,0,0,1900,1988,0, , ,3.98,4,4,4,1,1004080013,0,18,987060,200794,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,228.953175,2271.461836,943650,13,0,3149,3149,12,2700,36.36111069,37.02999878,0.668888092,36.50324027,0.25106694,438.0388832 +3149,MN,550,27,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,12 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,H8,8,0,P,NEW YORK UNIVERSITY,6000,12628,0,0,0,0,0,0,0,0,2,3,6,15,15,50,120,50,48, ,3,N,5,5,144000,928800,112320,703465,1930,0,0,Greenwich Village Historic District, ,2.1,6.02,2,6.5,1,1005500027,0,59,985459,205845,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,347.7977617,6202.52886,784800,8,0,3150,3150,28,6300,26.29888916,28.71111107,2.412221909,26.67449236,0.691426134,746.8857861 +3150,MN,883,26,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,103 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,EL-KAM RLTY COMPANY,2480,10095,1200,8895,0,1200,0,0,0,0,2,1,5,15,16,24.67,100,25,84, ,3,N,5,2,141750,1470150,0,0,1940,0,0, , ,4.07,6.02,6,6.5,1,1008830026,0,68,989104,209656,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,256.0279881,2590.099998,1328400,11,0,3151,3151,12,2700,33.40789032,34.1637764,0.755886078,33.47088083,0.208915875,401.6505699 +3151,MN,404,17,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,526 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"526 REALTY I, LLC",2614,9140,500,8640,0,500,0,0,0,0,2,1,5,18,20,25,104.5,25,86, ,3,N,5,2,225000,1080450,0,0,1900,0,0, , ,3.5,4,0,4,1,1004040017,0,34,989605,204404,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,269.7741369,2775.070434,855450,12,0,3152,3152,13,2925,12.53199959,14.49666595,1.964666367,12.68312777,0.52352338,164.880661 +3152,MN,465,12,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,110 EAST 10 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,1106 & 110 EAST TENTH,1401,4144,0,3315,0,0,0,0,0,0,2,1,4,2,2,22,64.08,22,45, ,3,Y,5,1,54620,218669,0,0,1900,2014,0,St. Mark's Historic District, ,2.96,4,0,4,1,1004650012,0,40,987442,205340,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,175.2301881,1414.883206,164049,12,0,3153,3153,6,1350,33.48777771,33.48777771,0,33.48777771,0,200.9266663 +3153,MN,848,27,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,37 EAST 19 STREET,M1-5M, , , , , , , , , ,N,K4,4,0, ,JAY D KUHLMAN,1840,6324,5084,1240,0,3404,0,1680,0,0,2,1,4,1,3,20,92,20,90,E,3,N,5,2,270450,860850,0,0,1900,1988,0,Ladies' Mile Historic District, ,3.44,0,5,6.5,1,1008480027,0,52,987318,208255,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,234.2878771,1880.891801,590400,7,0,3154,3154,8,1800,35.19100189,35.19100189,0,35.19100189,0,281.5280151 +3154,MN,435,36,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,113 AVENUE A,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"AJAL, L.P.",2433,6700,1000,5700,0,1000,0,0,0,0,2,1,5,8,9,24.33,100,24,52, ,2,N,5,2,89606,394568,0,0,1900,1986,0, , ,2.75,4,0,4,1,1004350036,0,32,988768,203896,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,258.8008792,2641.611053,304962,12,0,3155,3155,12,2700,18.76000023,20.93000031,2.170000076,19.24345366,0.552830075,230.9214439 +3155,MN,606,40,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,142 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,C2,2,0, ,"142 WEST 11TH STREET,",2447,4338,0,4338,0,0,0,0,0,0,2,1,4,5,5,22.5,108.75,23,60,E,3,N,5,5,279166,469163,0,0,1915,0,0,Greenwich Village Historic District, ,1.77,2.43,0,4.8,1,1006060040,0,71,984214,207389,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,260.963624,2438.127207,189997,8,0,3156,3156,11,2475,22.88899994,25.99222183,3.103221893,23.50299991,0.956799372,258.532999 +3156,MN,349,23,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,49 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,49 CLINTON PROPERTIES,2500,9853,600,9253,0,600,0,0,0,0,2,1,5,17,18,25,100,25,82, ,3,N,5,2,132300,1340550,0,0,1910,1986,0, , ,3.94,4,0,4,1,1003490023,0,3001,988406,201505,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,253.564269,2524.12885,1208250,1,0,3157,3157,11,2475,24.4422226,27.8777771,3.435554504,24.75454573,0.987652478,272.3000031 +3157,MN,632,57,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,117 CHARLES STREET,C1-6,R6, , , , , , , , ,Y,C4,2,0, ,"DARAH, AMY JEANNE",1380,5700,0,5700,0,0,0,0,0,0,2,1,4,13,13,25,95.33,25,52, ,3,Y,5,5,222750,862200,0,0,1910,1961,0,Greenwich Village Historic District, ,4.13,3.44,2,6.5,1,1006320057,0,75,982412,206885,12a, ,103 012,10210, ,1006320057,10/6/1997,1, , ,17V1.1,0,172.9488441,1489.361048,639450,9,0,3158,3158,6,1350,19.34666634,20.44000053,1.093334198,19.5288887,0.407461598,117.1733322 +3158,MN,466,43,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,129 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,129 LLC,2700,12312,2965,9347,0,0,0,0,0,2965,2,1,5,11,11,27,100,27,75, ,2,N,5,2,278100,878400,0,0,1900,1988,0,St. Mark's Historic District, ,4.56,4,0,4,1,1004660043,0,40,987700,205357,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,264.0313642,3024.15217,600300,12,0,3159,3159,15,3375,32.08111191,35.63999939,3.558887482,33.01718572,1.378414176,495.2577858 +3159,MN,797,74,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,160 WEST 22 STREET,C6-3A, , , , , , , , , ,N,D1,3,0, ,"160 WEST 22ND STREET,",4938,41423,0,41423,0,0,0,0,0,0,2,1,13,49,49,50,98.75,50,67, ,0,N,5,5,386550,5898600,0,0,2000,0,0, , ,8.39,7.52,6,7.5,1,1007970074,0,87,985459,209964,8d, ,103 030,10305,E-92,0, ,1, , ,17V1.1,0,301.3434732,5116.510833,5512050,7,0,3160,3160,22,4950,28.16444397,28.22588921,0.061445236,28.16723694,0.012798975,619.6792126 +3160,MN,303,11,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,85 BOWERY,C6-1G, , , , , , , , , ,N,C7,4,0, ,BOWERY 8385 LLC,2785,11349,2400,8949,0,2400,0,0,0,0,2,1,5,16,18,25,112,25,97, ,3,Y,5,2,202500,780750,0,0,1910,1979,0, , ,4.08,3.44,6,6.5,1,1003030011,0,16,985554,200434,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,286.2488444,2939.625659,578250,0,0,3161,3161,13,2925,41.4129982,41.61266327,0.19966507,41.42835705,0.053204622,538.5686417 +3161,MN,846,13,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,15 EAST 17 STREET,M1-5M, , , , , , , , , ,N,L9,6,0, ,"TRIAD CAPITAL, LLC",1918,10343,10343,0,0,1700,0,8643,0,0,2,1,6,0,6,25,79.75,25,76, ,3,Y,5,2,171000,960300,0,0,1910,0,0,Ladies' Mile Historic District, ,5.39,0,5,6.5,1,1008460013,0,52,986731,208014,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,211.128793,1972.603604,789300,7,0,3162,3162,9,2025,39.36555481,39.36555481,0,39.36555481,0,354.2899933 +3162,MN,233,17,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,151 GRAND STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,PB 151 GRAND LLC,4210,19500,19500,0,16500,3000,0,0,0,0,2,1,5,0,7,23.17,105.5,23,106, ,3,Y,3,2,270000,1785600,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,4.63,0,5,6.5,1,1002330017,0,45,984389,201534,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,420.8857003,4535.370301,1515600,0,0,3163,3163,21,4725,17.40800095,23.51666641,6.108665466,17.69888978,1.300894403,371.6766853 +3163,MN,764,14,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,243 WEST 14 STREET,C6-2A, , , , , , , , , ,N,S5,4,0,P,243 WEST 14 STREET,2607,11730,2419,9311,0,2419,0,0,0,0,2,1,5,5,6,25.27,103.25,25,100,E,3,Y,5,5,311827,1240200,0,0,1910,2006,0, , ,4.5,6.02,6,6.5,1,1007640014,0,81,983883,208715,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,275.3297462,2897.238495,928373,7,0,3164,3164,13,2925,22.05333328,22.05333328,0,22.05333328,0,286.6933327 +3164,MN,427,11,103,36.01,3001,1,1,10002,L020,5,14,6500,1,3,2A,265 BOWERY,C6-1,R8X, , ,C2-5, , , , , ,Y,K2,5,0, ,"265 BOWERY, LLC",2450,3724,1862,1862,0,1862,0,0,0,0,2,1,2,1,2,24.5,101.5,24.5,76, ,0,Y,5,5,180000,1016100,0,0,1985,2013,0, , ,1.52,3.44,6,6.5,1,1004270011,0,3601,986338,202832,12c, ,102 001,10204, ,1004270030,12/12/1997,1, , ,17V1.1,0,264.0212657,2631.652714,836100,9,0,3165,3165,11,2475,40.86999893,40.95600128,0.08600235,40.94818289,0.024723937,450.4300117 +3165,MN,764,53,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,226 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,226-228 WEST 15TH STR,4281,11092,0,11092,0,0,0,0,0,0,2,2,3,24,24,49.5,86.5,25,46, ,3,N,5,1,408150,2012400,0,0,1900,1979,0, , ,2.59,4,0,4,1,1007640053,0,81,984072,208744,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,276.2443692,4385.493596,1604250,7,0,3166,3166,20,4500,22.05333328,25.65444374,3.601110458,22.87677774,1.196400651,457.5355549 +3166,MN,503,4,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,103 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,KRP CORPORATION,2500,9450,760,8690,0,760,0,0,0,0,2,1,5,18,20,25,100,25,73, ,2,N,5,2,270000,1393200,0,0,1900,1985,0,Sullivan-Thompson Historic District, ,3.78,3.44,0,6.5,1,1005030004,0,49,983478,203630,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,255.3188238,2580.390085,1123200,0,0,3167,3167,11,2475,15.37666702,15.37666702,0,15.37666702,0,169.1433373 +3167,MN,440,44,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,429 EAST 12 STREET,R8B, , , , , , , , , ,N,M4,8,0,X, ,1701,4364,4364,0,0,0,0,0,0,4364,2,1,4,0,0,24.75,68.75,24.69,44.19, ,0,Y,5,5,123300,256950,123300,256950,1900,0,0, , ,2.57,4,0,4,1,1004400044,0,34,989216,205089,12c, ,102 028,10205,E-216,1004400043,12/30/1993,1, , ,17V1.1,0,185.4226673,1641.485088,133650,12,0,3168,3168,8,1800,16.59444427,16.59444427,0,16.59444427,0,132.7555542 +3168,MN,912,12,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,219 EAST 31 STREET,R7B, , , , , , , , , ,N,S1,4,0,P,"DEMARIA, LISA GARN",1679,3554,1777,1777,1777,0,0,0,0,0,2,1,3,1,2,17,98.75,17,49, ,3,N,5,1,72824,82944,1550,1550,1920,1962,0, , ,2.12,3,0,3,1,1009120012,0,70,990216,210203,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,234.6411084,1657.51432,10120,10,0,3169,3169,7,1575,26.45000076,30.5466671,4.096666336,28.04349273,1.848415991,196.3044491 +3169,MN,434,7501,103,32,2000,1,2,10009,L011,9,14,6600,3,3, ,103 AVENUE A,R7A, , , ,C2-5, , , , , ,N,RM,4,0, ,MR GROSSMAN,4533,18650,6075,12575,0,3825,0,0,0,2250,2,1,6,20,22,0.1,0,0,0, ,0,N,5,5,337505,2325605,0,0,1920,0,0, , ,4.11,4,0,4,1,1004347501,642,32,988688,203754,12c, ,102 020,10205, ,1004340031,3/18/1991,1, , ,17V1.1,7,294.8014049,4602.277873,1988100,12,0,3170,3170,21,4725,18.26222229,18.26222229,0,18.26222229,0,383.5066681 +3170,MN,525,46,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,144 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,"144 BLEECKER STREET,",6250,19500,10630,8870,0,10630,0,0,0,0,2,1,4,10,12,50,125,50,125, ,3,N,5,2,1125000,3841650,0,0,1900,2003,2005,South Village Historic District, ,3.12,3.44,0,6.5,1,1005250046,0,65,984417,204503,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,361.1690337,6589.093578,2716650,9,0,3171,3171,30,6750,23.62666702,28.9244442,5.297777176,23.97488925,1.303070029,719.2466774 +3171,MN,591,3,102,73,4004,2,3,10014,E024,6,15,6400,1,2,2B,303 BLEECKER STREET,C4-5, , , , , , , , , ,N,S1,4,0, ,EROPEL LLC,925,2057,1008,1049,0,1008,0,0,0,0,2,1,3,1,2,25.17,50.83,25.17,50.83, ,0,Y,5,5,37937,94738,0,0,1910,0,0,Greenwich Village Historic District, ,2.22,3.44,3.4,6.5,1,1005910003,0,73,983244,206185,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,142.7690459,1010.791233,56801,9,0,3172,3172,4,900,23.49900055,23.49900055,0,23.49900055,0,93.9960022 +3172,MN,23,19,101,7,1008,2,1,10005,L015,1,15,7700,1,1, ,11 WALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,NEW YORK STOCK EXCHAN,31350,240279,240279,0,240279,0,0,0,0,0,2,2,23,0,1,156.54,195.93,195,156, ,3,Y,3,2,14625000,26019450,0,0,1901,2006,0, ,NEW YORK STOCK EXCHANGE,7.66,10,15,15,1,1000230019,0,7,981147,196867,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,760.7742102,33033.05035,11394500,17,0,3173,3173,149,33525,15.20666695,29.0288887,13.82222176,18.69197409,2.384573184,2785.104139 +3173,MN,822,31,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,154 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,156 5 AVE CORP,17664,184509,184509,0,169109,15400,0,0,0,0,2,1,13.5,0,52,92,192,92,192, ,2,N,3,2,4500000,33019650,0,0,1900,1979,0,Ladies' Mile Historic District, ,10.45,10,10,10,1,1008220031,0,54,986668,208895,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,587.0296946,19103.01412,28519700,7,0,3174,3174,86,19350,35.09799957,41.17000198,6.072002411,35.16860425,0.650942979,3024.499966 +3174,MN,526,81,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,142 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,S3,4,0, ,VERNS RESTAURANT CORP,1587,4280,855,3425,0,855,0,0,0,0,2,1,3,3,4,20,79.33,20,76,E,3,Y,5,5,133412,253888,0,0,1940,1983,0, , ,2.7,3.44,0,6.5,1,1005260081,0,65,983789,204553,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,203.4023194,1694.705287,120476,9,0,3175,3175,8,1800,23.22699928,23.36322212,0.136222839,23.24402714,0.045051469,185.9522171 +3175,MN,460,43,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,87 EAST 4 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,"87 E 4 ST REALTY, INC",1696,4700,1000,3700,0,1000,0,0,0,0,2,1,4,8,9,23.5,72.17,24,50, ,2,N,5,1,52548,167199,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.77,4,0,4,1,1004600043,0,38,987091,203969,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,199.9851624,1812.47834,114651,1,0,3176,3176,9,2025,35.65444565,35.65444565,0,35.65444565,0,320.8900108 +3176,MN,612,39,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,39 CHARLES STREET,R6, , , , , , , , , ,N,C5,2,0, ,39 CHARLES LLC,1583,3100,0,3100,0,0,0,0,0,0,2,1,3,8,8,16.67,95,17,46, ,3,N,5,1,110551,332059,0,0,1900,0,0,Greenwich Village Historic District, ,1.96,2.43,0,4.8,1,1006120039,0,73,983472,207109,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.0725831,1680.414755,221508,8,0,3177,3177,7,1575,24.50222206,24.92333221,0.421110153,24.56238065,0.147357857,171.9366646 +3177,MN,834,80,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,1270 BROADWAY,C6-6, , , , , ,MID, , , ,N,O6,5,0, ,"CNA CORNERSTONE, INC.",8525,117650,117650,0,110650,7000,0,0,0,0,2,1,12,0,80,118.58,98,98,110, ,2,Y,3,2,4050000,12890250,0,0,1912,1981,0, , ,13.8,10,15,15,1,1008340080,0,76,987623,212049,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,449.4347525,9729.278489,8840250,10,0,3178,3178,43,9675,45.52777863,45.98511124,0.457332611,45.83721374,0.071217255,1971.000191 +3178,MN,446,37,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,129 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,SWORDFISH 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,17V1.1,0,345.4008333,7148.44751,9556200,6,0,3210,3210,32,7200,34.63499832,34.63499832,0,34.63499832,0,1108.319946 +3210,MN,630,135,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,6 GREENWICH MEWS,R6, , , , , , , , , ,N,A9,1,0, ,"BEA, MICHELLE ANNE",740,2588,0,1933,0,0,0,0,0,0,2,1,3,1,1,35,21,35,20, ,3,Y,5,1,52624,160704,0,0,1989,0,0,Greenwich Village Historic District, ,3.5,2.43,0,4.8,1,1006300135,0,75,982281,206425,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,110.8598671,713.4894974,108080,9,0,3211,3211,3,675,18.16222191,18.77666664,0.614444733,18.36703682,0.289652025,55.10111046 +3211,MN,551,12,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,23 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,C1,2,0, ,HARRAN HOLDING CORP,2700,8528,0,8528,0,0,0,0,0,0,2,1,3.5,7,7,27.25,99.17,27,84,E,3,N,5,1,459353,781941,0,0,1900,0,0,Greenwich Village Historic District, ,3.16,2.43,0,4.8,1,1005510012,0,63,984820,206016,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,264.2989604,2933.257077,322588,8,0,3212,3212,14,3150,21.12199974,24.0577774,2.935777664,21.7213489,1.11000752,304.0988846 +3212,MN,886,70,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,176 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,176-178 LEXINGTON AVE,1264,2846,700,2146,700,0,0,0,0,0,2,1,4,5,7,19.75,64,20,62,E,3,N,5,2,108335,440111,0,0,1910,1980,0, , ,2.25,6.02,6,6.5,1,1008860070,0,72,989395,210500,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,178.4341046,1445.737571,331776,10,0,3213,3213,7,1575,32.16333389,33.23199844,1.068664551,33.07933208,0.373954694,231.5553246 +3213,MN,753,36,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,383 8 AVENUE,C6-3X, , , , , , , , , ,N,S9,4,0,P,383 8TH LLC,1725,6900,1725,5175,0,1725,0,0,0,0,2,1,4,3,5,28.75,60,29,60, ,3,N,3,5,232640,538014,0,0,1910,0,0, , ,4,9,6,9,1,1007530036,0,97,985381,212252,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,194.0791799,2063.906054,305374,6,0,3214,3214,9,2025,28.20800018,28.20800018,0,28.20800018,0,253.8720016 +3214,MN,20,9,101,13,2009,2,1,10006,E010,1,15,7700,1,1, ,45 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,45 BROADWAY LLC,15529,368315,368315,0,364483,3832,0,0,0,0,2,1,31,0,71,80.27,193.71,80,190, ,3,Y,4,1,11340000,36102150,0,0,1983,0,0, , ,23.72,10,15,15,1,1000200009,0,13,980572,196689,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,553.6146779,15900.48744,24762200,15,0,3215,3215,71,15975,20.04111099,22.52599907,2.484888077,22.42540131,0.479317191,1592.203493 +3215,MN,641,7502,102,79,2000,2,3,10014,L005,6,15,6100,3,2, ,495 WEST STREET,C1-7A, , , , , , , , , ,N,R1,2,0, , ,5414,30088,0,30088,0,0,0,0,0,0,2,1,11,9,9,67.67,80,0,0, ,0,Y,0,5,501655,4976047,2360,2360,1998,0,0, , ,5.56,6.02,2,6.5,1,1006417502,1091,79,981629,208075,12a,Y,103 014,10210, ,1006410002,11/22/1999,1,1,1,17V1.1,7,304.6881184,5709.902746,4474390,8,1,3216,3216,30,6750,7.369999886,7.809999943,0.440000057,7.410148048,0.116848837,222.3044415 +3216,MN,64,8,101,15.02,1008,2,1,10038,E004,1,15,7700,1,1,1B,53 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,D4,3,0,P,55 LIBERTY OWNERS COR,5198,167448,7056,160392,0,7056,0,0,0,0,2,1,33,87,92,57.75,82.08,58,84, ,2,Y,3,2,1566000,15411150,60675,60675,1911,1981,0, ,LIBERTY TOWER,32.21,10,15,15,1,1000640008,0,1502,981649,197527,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,311.4298806,5877.957434,13845200,4,0,3217,3217,26,5850,27.42399979,27.42399979,0,27.42399979,0,713.0239944 +3217,MN,391,9,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,604 EAST 9 STREET,R8B,R7A, , , , , , , , ,Y,C4,2,0,P,EAST 9TH STREET PROPE,2348,9275,0,9275,0,0,0,0,0,0,2,1,5,20,20,25,93.92,25,79, ,3,N,5,2,141750,650700,0,0,1910,1988,0, , ,3.95,4,0,4,1,1003910009,0,2602,989782,203748,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.2785004,2391.655007,508950,12,1,3218,3218,11,2475,8.318888664,11.09333324,2.77444458,8.571110899,0.797596738,94.28221989 +3218,MN,590,14,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,28 JONES STREET,R6, , , , , , , , , ,N,C6,2,0, ,GREENWICH HOUSE COOP,2056,3136,0,3136,0,0,0,0,0,0,2,2,3,4,4,21.08,97.5,21,48, ,0,N,5,5,109663,260646,787,787,1920,0,0,Greenwich Village Historic District Exte,28 JONES STREET HOUSE,1.53,2.43,0,4.8,1,1005900014,0,67,983490,205859,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,239.470637,2073.396024,150983,9,0,3219,3219,9,2025,17.54000092,21.79333305,4.253332138,19.17703735,1.8525643,172.5933361 +3219,MN,438,30,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,167 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,VILLAGE JV 165 AVENUE,2225,9030,1806,7224,0,1806,0,0,0,0,2,1,5,8,9,23.67,94,24,76, ,3,N,5,2,22551,143037,0,0,1910,1986,2008, , ,4.06,4,0,4,1,1004380030,0,34,989167,204612,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,244.0887438,2409.824744,120486,12,0,3220,3220,10,2250,17.63888931,18.39666748,0.757778168,17.99475594,0.169834908,179.9475594 +3220,MN,401,23,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,526 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,526 EAST 6TH STREET R,2434,6834,0,6834,0,0,0,0,0,0,2,1,5,17,18,25.08,97,25.08,54, ,0,N,5,5,90000,1151100,0,0,1900,0,0, , ,2.81,3,0,3,1,1004010023,0,32,989033,203310,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,247.9949807,2539.339405,1061100,1,0,3221,3221,11,2475,14.20666695,15.18111134,0.974444389,14.34808098,0.285935138,157.8288908 +3221,MN,922,26,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,277 1 AVENUE,C1-6A, , , , , , , , , ,N,K4,4,0, ,WONGTAITONG-277 FIRST,1600,3840,2240,1600,800,1440,0,0,0,0,2,1,4,2,4,20,80,20,40,E,3,N,5,2,362250,834750,0,0,1910,1961,0, , ,2.4,4,2,4,1,1009220026,0,48,989240,206197,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,217.6272204,1851.625057,472500,5,0,3222,3222,9,2025,19.57900047,19.57900047,0,19.57900047,0,176.2110043 +3222,MN,404,51,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,309 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"EAST 10TH,",2801,10080,0,10080,0,0,0,0,0,0,2,1,4,10,10,25,112,25,88, ,3,N,5,1,30001,170235,0,0,1900,0,0,East 10th Street Historic District, 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+3241,MN,288,78,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,265 HENRY STREET,R7-2, , , , , , , , , ,N,P5,8,0,X,HENRY ST SETTLEMENT,4240,9573,9573,0,0,0,0,0,0,9573,2,3,4,2,3,48,89.33,48,88,E,3,N,5,2,387000,1028250,387000,1028250,1900,0,0, ,267 HENRY STREET BUILDING,2.26,3.44,0,6.5,1,1002880078,0,202,988553,199434,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,278.4788838,4352.496932,641250,13,0,3242,3242,19,4275,34.14888763,35.80999756,1.661109924,34.52370654,0.592119505,655.9504242 +3242,MN,89,2,101,15.01,1005,2,1,10038,E006,1,15,7700,1,1,1B,141 FULTON STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,EMPIRE DYNASTY REALTY,1863,10961,7626,3335,0,7626,0,0,0,0,2,1,6,2,6,25.54,76.33,26,75, ,3,Y,5,2,314100,1329750,0,0,1960,1989,2009, , ,5.88,10,15,15,1,1000890002,0,1501,982055,198141,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,211.3265487,2031.30675,1015650,3,0,3243,3243,10,2250,36.27399826,36.27399826,0,36.27399826,0,362.7399826 +3243,MN,606,86,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,10 PATCHIN PLACE,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,"PATCHIN PLACE, LLC",1770,1596,0,1596,0,0,0,0,0,0,2,1,3,3,3,17.5,76.67,17.5,40, ,2,Y,5,2,14130,85278,0,0,1899,0,0,Greenwich Village Historic District, ,0.9,2.43,0,4.8,1,1006060086,0,71,984378,207110,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,184.5103688,894.2188581,71148,8,0,3244,3244,3,675,19.72333336,22.18111038,2.457777023,21.03777758,1.010652038,63.11333275 +3244,MN,503,30,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,85 THOMPSON STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,27687,825,825,0,0,0,0,0,0,825,2,1,1,0,1,250.25,100,21.33,34.5, ,0,Y,3,5,3177000,3806550,3177000,3806550,1935,0,0,Sullivan-Thompson Historic District, ,0.03,0,0,0,1,1005030030,0,49,983534,203556,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,914.2055958,27993.63428,629550,0,0,3245,3245,126,28350,12.93000031,18.90444565,5.974445343,15.82216152,1.142231251,1993.592351 +3245,MN,802,50,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,112 WEST 27 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,MIKLOS REAL ESTATE,3950,25200,25200,0,22200,3000,0,0,0,0,2,1,7,0,7,40,98.75,40,99, ,3,N,5,2,666000,2016450,0,0,1907,1988,0, , ,6.38,0,10,10,1,1008020050,0,95,986512,210897,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,285.6998631,4154.58822,1350450,2,0,3246,3246,18,4050,38.26699829,40.25555801,1.988559723,38.39348009,0.45640023,691.0826416 +3246,MN,350,66,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,163 ATTORNEY STREET,R7A, , , , , , , , , ,N,C1,2,0, ,"S.J. 171,",2500,6750,0,6750,0,0,0,0,0,0,2,1,5,18,18,25,100,25,52, ,2,N,5,0,225000,847350,0,0,1910,1999,0, , ,2.7,4,0,4,1,1003500066,0,2201,988819,201879,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,256.0837828,2580.675032,622350,1,0,3247,3247,11,2475,19.81333351,23.8255558,4.01222229,21.64424255,1.6888003,238.086668 +3247,MN,86,1,101,21,1010,2,1,10007,E010,1,15,7700,1,1, ,90 CHURCH STREET,C5-3, , , , , ,LM, , , ,N,O7,5,0,P,U S POSTAL SERVICE,75460,1154357,1154357,0,1154357,0,0,0,0,0,2,1,15,0,4,203.03,392.31,200,372, ,1,Y,1,1,16965000,93614400,16965000,93614400,1935,2005,2005, , ,15.3,10,15,15,1,1000860001,0,21,981300,198945,12b, ,101S014,10102, ,0, ,1, , ,17V1.1,0,1172.462091,78523.01505,76649400,3,1,3248,3248,349,78525,11.50444508,23.56444359,12.05999851,13.39701806,1.261476909,4675.559303 +3248,MN,883,29,106,68,6000,2,2,10016,E016,13,14,5300,1,6,1B,137 EAST 27 STREET,C6-2A, , , , , , , , , ,N,S2,4,0,P,ROSE HILL REAL ESTATE,775,1928,650,1278,0,650,0,0,0,0,2,2,2,2,3,31,24.67,9,19, ,3,Y,5,5,41365,111132,0,0,1910,0,0, , ,2.49,6.02,6,6.5,1,1008830029,0,68,989110,209592,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,115.7998256,833.8968124,69767,11,0,3249,3249,3,675,33.40789032,33.40789032,0,33.40789032,0,100.223671 +3249,MN,411,32,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,135 LUDLOW STREET,C4-4A, , , , , , , , , ,N,K1,5,0, ,DAE SUNG REALTY CORP,231,231,231,0,0,231,0,0,0,0,2,1,1,0,1,9.25,25,9,25, ,3,N,8,0,40050,225000,0,0,1920,0,0, , ,1,4,4,4,1,1004110032,0,3001,987477,201722,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,74.66819815,274.664267,184950,13,0,3250,3250,1,225,31.68099976,31.68099976,0,31.68099976,0,31.68099976 +3250,MN,405,39,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,545 EAST 11 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,M1,8,0,X,RUSSN UKR POLISH PENT,4130,4962,4962,0,0,0,0,0,0,4962,2,1,2,0,1,40,103.25,40,100, ,2,N,5,2,147150,372150,147150,372150,1920,0,0, ,ELEVENTH STREET METHODIST EPISCOPAL,1.2,4,0,4,1,1004050039,0,34,989856,204451,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,293.4328846,4314.88396,225000,12,1,3251,3251,19,4275,11.72555542,14.14777756,2.422222137,11.8530408,0.540874642,225.2077751 +3251,MN,284,15,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,14 JEFFERSON STREET,R7-2, , , ,C1-5, , , , , ,N,C0,2,0, ,14 JEFFERSON STREETCO,1049,2568,0,2568,0,0,0,0,0,0,2,1,3,3,3,20.08,52.25,20.08,41, ,3,N,5,2,18579,63708,0,0,1901,2008,2008, , ,2.45,3.44,0,6.5,1,1002840015,0,6,987341,199341,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,152.2194165,1141.613749,45129,13,0,3252,3252,7,1575,20.93000031,20.93000031,0,20.93000031,0,146.5100021 +3252,MN,586,13,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,20 LEROY STREET,R6, , , , , , , , , ,N,C0,2,0, ,"CURRERI, WILLIAM",1600,2340,0,2340,0,0,0,0,0,0,2,1,3,3,3,20,80,20,42, ,3,N,5,2,24639,113942,0,0,1901,0,0,Greenwich Village Historic District Exte, ,1.46,2.43,0,4.8,1,1005860013,0,67,983293,205432,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,204.9004546,1647.455233,89303,9,0,3253,3253,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +3253,MN,234,7501,102,45,1008,2,1,10013,E055,5,15,6800,1,2, ,161 GRAND STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,4146,36740,2851,33889,2851,0,0,0,0,0,2,1,12,18,20,50.58,80.17,50,80, ,0,N,0,5,425702,6147901,2360,2360,1911,0,0, , ,8.86,0,5,6.5,1,1002347501,1235,45,984568,201484,12c, ,11N 047,10105, ,1002340012,3/10/2003,1, , ,17V1.1,7,278.7536822,4653.976928,5722200,0,0,3254,3254,21,4725,20.1590004,23.5233345,3.364334106,20.55001622,0.972381385,431.5503407 +3254,MN,92,32,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1H,19 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,O5,5,0, ,19-21 BEEKMAN REALTY,4616,25039,25039,0,23039,2000,0,0,0,0,2,1,6,0,12,44.25,102.67,44,100, ,3,Y,5,1,693000,2451150,0,0,1925,1985,0, , ,5.42,10,10,10,1,1000920032,0,1501,982498,198222,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,298.8018652,4616.255396,1758150,4,0,3255,3255,20,4500,34.59022141,34.5909996,0.000778198,34.59096069,0.000169604,691.8192139 +3255,MN,350,28,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,23 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,23 CLINTON ASSOCS.,2500,8675,700,7975,0,700,0,0,0,0,2,1,6,16,18,25,100,25,52,E,2,N,5,2,169650,1055700,0,0,1920,1986,2005, , ,3.47,4,0,4,1,1003500028,0,3001,988533,201832,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,259.199427,2615.02271,886050,1,0,3256,3256,12,2700,22.40999985,26.55999947,4.149999619,23.56879616,1.654119965,282.8255539 +3256,MN,487,27,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,148 SPRING STREET,M1-5A, , , , , , , , , ,N,K2,5,0, ,148 SPRING EAT LLC,1600,5968,5968,0,4476,1492,0,0,0,0,2,1,4,0,3,20,80,20,80,E,3,N,5,2,450000,2690100,0,0,1920,1983,2007,SoHo-Cast Iron Historic District, ,3.73,0,5,6.5,1,1004870027,0,47,983838,203095,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,205.4010078,1696.072269,2240100,0,0,3257,3257,8,1800,13.42399979,17.23555565,3.811555862,13.90044427,1.260553615,111.2035542 +3257,MN,634,2,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,723 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,S2,4,0,P,BENNETT EDWARD A,3200,8000,1500,6500,1500,0,0,0,0,0,2,1,3.5,2,3,36,91.58,36,83, ,3,Y,5,5,148586,370738,0,0,1941,1989,0,Greenwich Village Historic District, ,2.5,4,2,4,1,1006340002,0,75,982014,207370,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,262.7817562,3307.378324,222152,9,0,3258,3258,15,3375,15.82699966,15.82699966,0,15.82699966,0,237.404995 +3258,MN,779,13,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,241 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,245 WEST 29 LLC,7813,106960,105460,1500,87500,17960,0,0,0,0,2,1,17,1,50,79.08,98.75,79.08,98.75, ,0,Y,5,5,616500,5113800,0,0,1928,0,0, , ,13.69,10,10,10,1,1007790013,0,95,985761,212080,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,360.9976532,8013.894144,4497300,6,0,3259,3259,36,8100,29.92222214,31.05999947,1.137777328,30.70731439,0.482868653,1105.463318 +3259,MN,803,32,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,105 WEST 27 STREET,C6-4X, , , , , , , , , ,N,L8,6,0,P,105 WEST 27TH STREET,1975,7020,7020,0,0,1500,0,5520,0,0,2,1,4,0,4,20,98.75,20,96,E,3,N,5,2,276750,598500,0,0,1910,1989,0, , ,3.55,10,10,10,1,1008030032,0,95,986651,211000,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,244.9820966,2069.1697,321750,2,0,3260,3260,9,2025,37.16799927,42.27999878,5.111999512,37.73599921,1.606546453,339.6239929 +3260,MN,25,7501,101,9,1000,2,1,10004,L015,1,15,7700,1,1, ,15 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,23649,377483,52421,325062,0,6092,46329,0,0,0,2,1,44,320,321,139.42,150.33,132,115, ,3,Y,0,5,2753946,65209037,0,12559590,2005,0,0, , ,15.96,10,15,15,1,1000257501,1957,9,981378,196261,12b, ,101S005,10101, ,1000250035,8/13/2009,1, ,1,17V1.1,7,634.8196679,24136.69625,62455100,17,1,3261,3261,109,24525,9.727999687,15.07444477,5.346445084,9.89946046,0.74114118,1079.04119 +3261,MN,196,2,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,402 BROADWAY,M1-5, , , , , , , , , ,N,O5,5,0, ,402 BROADWAY CORP.,2440,7665,7665,0,5390,2275,0,0,0,0,2,1,3,0,2,25,100,25,91,E,3,Y,5,2,278100,702000,0,0,1915,1988,0,Tribeca East Historic District, ,3.14,0,5,6.5,1,1001960002,0,31,983661,201102,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,268.3194034,2777.144815,423900,14,0,3262,3262,13,2925,11.84555531,15.99911118,4.15355587,12.1650596,1.106795354,158.1457748 +3262,MN,620,68,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2K,236 WEST 4 STREET,R6, , , , , , , , , ,N,C4,2,0,P,240 W 4TH STREET ASSO,5771,21895,0,21895,0,0,0,0,0,0,2,2,5,32,32,65.58,88,33,78, ,3,N,5,2,675000,2766600,0,0,1900,0,0,Greenwich Village Historic District, ,3.79,2.43,0,4.8,1,1006200068,0,73,983346,206858,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,307.1175262,5764.852986,2091600,8,0,3263,3263,25,5625,24.70777702,24.70777702,0,24.70777702,0,617.6944256 +3263,MN,809,69,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,144 WEST 34 STREET,C6-6,C6-4.5, , , , ,MID, , , ,Y,K2,5,0, ,144-150 WEST 34TH STR,19931,77760,77760,0,0,77760,0,0,0,0,2,1,3,0,1,51.83,197.5,76.83,197.5,E,3,Y,4,2,8955000,20686950,0,0,1900,1998,0, , ,3.9,10,15,15,1,1008090069,0,101,986984,212597,8d, ,105S024,10305, ,1008090069,9/8/1997,1, , ,17V1.1,0,649.1486252,19994.45249,11732000,6,0,3264,3264,89,20025,41.24700165,42.43333435,1.186332703,41.27077184,0.139020253,3673.098694 +3264,MN,741,61,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,352 WEST 18 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,352-354 W. 18 REALTY,2300,8825,0,8825,0,0,0,0,0,0,2,1,5,16,16,25,92,25,78, ,3,N,5,2,98550,930150,0,0,1910,0,0, , ,3.84,4,0,4,1,1007410061,0,83,983439,209955,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,241.8337921,2397.880933,831600,7,0,3265,3265,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +3265,MN,816,15,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,45 WEST 14 STREET,C6-2M, , , , , , , , , ,N,O2,5,0,P,PAINT INDUST FD BLDG,2582,12825,12825,0,12825,0,0,0,0,0,2,1,5,0,1,25,103.25,25,100,E,3,N,5,2,459000,1440000,0,0,1915,2013,0, , ,4.97,6.02,6,6.5,1,1008160015,0,54,985463,207841,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,267.2733064,2715.920723,981000,7,0,3266,3266,13,2925,28.19599915,28.19599915,0,28.19599915,0,366.5479889 +3266,MN,477,42,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,104 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0, ,BROOME PROPERTY OWNER,2063,33504,2680,30824,0,2680,0,0,0,0,2,1,25,10,11,63.25,35,0,0, ,0,Y,3,5,274950,877950,0,0,0,0,0, , ,16.24,0,10,10,1,1004770042,0,37,982643,203125,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,198.8241989,2066.993238,603000,0,1,3267,3267,11,2475,13.14888859,14.65888882,1.510000229,14.03818191,0.436103967,154.420001 +3267,MN,397,29,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,195 EAST 2 STREET,R8B,R7A,R8A, ,C1-5,C2-5, , , , ,Y,D5,3,0,P,LESMHA L P,7654,33336,0,33336,0,0,0,0,0,0,2,1,6,30,30,72.6,105.42,24.17,92.17, ,0,Y,5,5,360000,1989900,0,1626900,1900,1992,0, , ,4.36,4,0,4,1,1003970029,0,3002,988674,202326,12c, ,102 012,10203, ,1003970029,10/20/1993,1, , ,17V1.1,0,365.1389554,8034.559224,1629900,1,0,3268,3268,35,7875,19.55999947,22.12555504,2.565555573,19.71898362,0.540411722,690.1644268 +3268,MN,472,22,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,239 CENTRE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,A TRENKMANN EST INC,1632,7575,7575,0,5085,1515,0,975,0,0,2,1,5,0,5,25,65.33,25,60, ,3,N,5,2,225000,857250,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,4.64,0,5,6.5,1,1004720022,0,45,984694,201694,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,185.2309182,1719.409819,632250,0,0,3269,3269,8,1800,28.8239994,28.93422127,0.110221863,28.83777714,0.036452455,230.7022171 +3269,MN,522,36,102,55.02,2007,2,1,10012,L009,9,15,5700,1,2,1G,333 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K2,5,0,P,66-16 STIER PLACE REA,846,1185,1185,0,0,1185,0,0,0,0,2,1,2,0,2,94.17,17.83,24,17, ,2,Y,3,0,135000,1651500,0,0,1926,1995,0, , ,1.4,0,5,6.5,1,1005220036,0,5502,985722,203647,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,205.4322193,835.3039559,1516500,9,0,3270,3270,4,900,40.82555389,40.82555389,0,40.82555389,0,163.3022156 +3270,MN,558,48,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,111 EAST 12 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,222 WEST 37TH STREET,2635,8322,1665,6657,0,1665,0,0,0,0,2,1,6,10,11,25,106.5,25,98,E,3,Y,5,2,154350,1654650,0,0,1900,0,0, , ,3.16,6.02,6,6.5,1,1005580048,0,42,987234,206210,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,264.6686528,2609.91373,1500300,12,0,3271,3271,11,2475,38.19900131,38.19900131,0,38.19900131,0,420.1890144 +3271,MN,548,9,102,59,3001,2,1,10003,E033,6,15,5700,1,2,3A,13 UNIVERSITY PLACE,C1-7,R7-2, , , , , , , , ,Y,O5,5,0,P,NEW YORK UNIVERSITY,9370,55224,55224,0,50185,5039,0,0,0,0,2,1,6,0,4,118.33,75.17,118.33,75.16, ,3,Y,3,2,1080000,5080050,1080000,4921650,1930,2000,0, , ,5.89,6.02,2,6.5,1,1005480009,0,59,985709,205706,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,430.0975006,9919.491782,4000050,8,0,3272,3272,45,10125,30.95666695,33.25299835,2.296331406,33.07784297,0.475033029,1488.502934 +3272,MN,590,43,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,25 CORNELIA STREET,R6, , , , , , , , , ,N,C1,2,0, ,J TAYLOR CONSTR CO,4095,17826,0,17826,0,0,0,0,0,0,2,1,6,32,32,42.17,97.5,42,84, ,3,N,5,2,391500,2632950,0,0,1900,1988,0,Greenwich Village Historic District Exte, ,4.35,2.43,0,4.8,1,1005900043,0,67,983597,205799,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,282.4130624,4177.998524,2241450,9,0,3273,3273,18,4050,17.54000092,17.54000092,0,17.54000092,0,315.7200165 +3273,MN,493,21,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,209 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,S1,4,0, , ,2528,7250,2500,4750,0,2500,0,0,0,0,2,1,4,1,2,25.73,99,25.73,94, ,0,Y,5,2,11182,94700,0,0,1900,2007,2005, , ,2.87,6.02,6,6.5,1,1004930021,0,43,985761,202469,12c, ,11N 076,10206, ,1004930020,2/1/2005,1, , ,17V1.1,0,251.4252486,2519.485623,83518,0,0,3274,3274,12,2700,42.74333191,42.74333191,0,42.74333191,0,512.9199829 +3274,MN,348,29,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,101 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,101 CLINTON LLC,2530,9850,1000,8850,0,1000,0,0,0,0,2,1,5,16,18,25.25,100,25,88, ,3,N,5,2,293850,1444950,0,0,1920,1985,0, , ,3.89,4,0,4,1,1003480029,0,1402,988202,200993,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,256.7485525,2529.069561,1151100,13,0,3275,3275,12,2700,24.76333427,26.19888878,1.435554504,24.88296382,0.396766305,298.5955658 +3275,MN,526,51,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,88 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,"HEITZMANN, RICHARD",2002,3556,0,3556,0,0,0,0,0,0,2,1,4,1,1,20,100.08,20,42, ,3,N,5,5,82269,206136,0,0,1899,2009,0,MacDougal-Sullivan Gardens Historic Dist, ,1.78,3.44,0,6.5,1,1005260051,0,65,983874,204725,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,243.0001273,2030.004855,123867,9,0,3276,3276,9,2025,23.22699928,24.79999924,1.572999954,23.43050554,0.490854932,210.8745499 +3276,MN,611,24,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2K,196 WAVERLY PLACE,C2-6, , , , , , , , , ,N,C7,4,0, ,WAVERLY PLACE REALTY,4237,17166,800,16366,800,0,0,0,0,0,2,1,6,24,25,56.5,75,56,69, ,3,Y,5,2,1174500,3900150,0,0,1900,1987,0,Greenwich Village Historic District, ,4.05,3.44,2,6.5,1,1006110024,0,73,983775,207003,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,268.1588198,4385.232723,2725650,8,0,3277,3277,19,4275,21.29555511,21.29555511,0,21.29555511,0,404.6155472 +3277,MN,288,45,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,505 GRAND STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,505-507,2046,4163,1640,2523,0,1640,0,0,0,0,2,2,3,4,6,34.42,73.83,18,49, ,3,Y,5,5,128401,201800,0,0,1910,0,0, , ,2.03,3.44,0,6.5,1,1002880045,0,202,989150,199581,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,193.7127628,1913.185776,73399,13,0,3278,3278,8,1800,29.70800018,32.54555511,2.837554932,30.16125011,0.930601001,241.2900009 +3278,MN,857,2,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,235 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,GREAT EASTERN BANK,3067,16614,16614,0,13614,3000,0,0,0,0,2,1,7,0,1,30.67,100,30,100, ,3,N,5,2,643500,1671750,0,0,1920,1991,0,Madison Square North Historic District, ,5.42,10,10,10,1,1008570002,0,56,987764,210375,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,278.0745825,3499.23258,1028250,11,0,3279,3279,15,3375,36.04399872,40.44333267,4.399333954,36.33728765,1.097386692,545.0593147 +3279,MN,207,20,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1F,114 BAXTER STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,221 CANAL STREET LLC,5520,33000,33000,0,20300,12700,0,0,0,0,2,1,6,0,29,72.42,104.83,72,105, ,2,Y,3,2,1143000,9371250,0,0,1900,1979,2009, , ,5.98,0,5,6.5,1,1002070020,0,41,984422,200821,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,332.8103755,6264.999971,8228250,0,0,3280,3280,27,6075,19.20599937,19.20599937,0,19.20599937,0,518.5619831 +3280,MN,881,7501,106,68,5000,2,2,10010,E016,13,14,5300,1,6, ,61 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,4723,30424,8124,22300,3291,4833,0,0,0,0,2,1,7,40,55,59.17,79.83,0,79.1, ,0,N,5,5,884251,4576050,9440,9440,1930,0,0, , ,6.44,6.02,6,6.5,1,1008817501,704,68,988830,209181,8d, ,104 006,10307, ,1008810028,11/15/1990,1, , ,17V1.1,7,291.4861577,5199.6709,3691800,11,0,3281,3281,24,5400,30.02400017,31.02000046,0.99600029,30.09690762,0.244321052,722.3257828 +3281,MN,65,16,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1A,174 BROADWAY,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,174 BROADWAY LLC,1288,15081,15081,0,13831,1250,0,0,0,0,2,1,12,0,12,25.67,50.17,26,50, ,3,N,3,2,594000,2727000,0,0,1900,1989,0, , ,11.71,10,15,15,1,1000650016,0,1502,981553,197874,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,157.5440864,1342.206298,2133000,3,0,3282,3282,6,1350,29.17399979,29.17399979,0,29.17399979,0,175.0439987 +3282,MN,606,74,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,103 WEST 10 STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,SOLAN HOLDING CORP 2,555,1728,576,1152,0,576,0,0,0,0,2,1,3,1,2,16.33,36,16.33,36, ,3,Y,5,2,21897,73999,0,0,1910,2009,0,Greenwich Village Historic District, ,3.11,3.44,2,6.5,1,1006060074,0,71,984535,207035,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,103.5193036,586.8040722,52102,8,0,3283,3283,2,450,20.06222153,20.06222153,0,20.06222153,0,40.12444305 +3283,MN,392,26,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,382 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,380-382 E. 10TH LLC,2307,9075,0,9075,0,0,0,0,0,0,2,1,5,20,20,25,92.25,25,80, ,3,N,5,2,112500,1492200,0,0,1930,1983,2011, , ,3.93,4,0,4,1,1003920026,0,28,990229,203781,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.3324279,2396.240313,1379700,12,1,3284,3284,12,2700,7.576999664,9.095555305,1.518555641,7.782545964,0.474141661,93.39055157 +3284,MN,396,5,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,223 AVENUE B,C1-6A, , , , , , , , , ,N,C4,2,0,P,223 AVE B. ;;C,1936,5518,800,4718,0,800,0,0,0,0,2,1,5,8,9,22,88,22,46, ,3,N,5,2,27144,128753,0,0,1910,1988,0, , ,2.85,4,2,4,1,1003960005,0,28,990328,204861,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,222.02226,1890.199844,101609,12,1,3285,3285,10,2250,10.09222221,10.75111103,0.658888817,10.25311108,0.252164801,102.5311108 +3285,MN,818,27,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,11 WEST 16 STREET,C6-2M, , , , , , , , , ,N,W6,8,0,X,CENTER FOR JEWISH HIS,9200,27600,27600,0,0,0,0,0,0,27600,2,3,3,0,1,100,92,100,92, ,0,N,5,5,1764000,7164450,1764000,7164450,1934,1998,0, , ,3,6.02,6,6.5,1,1008180027,0,54,985978,208160,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,390.7121422,9536.324269,5400450,7,0,3286,3286,41,9225,31.11599922,36.26889038,5.152891159,31.36291527,1.090537433,1285.879526 +3286,MN,572,22,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,36 WEST 9 STREET,R6, , , , , , , , , ,N,S4,4,0, ,HONEYPOT AHEAD LLC,2350,6252,1350,4902,0,1350,0,0,0,0,2,1,4,4,5,25.08,93.92,25,58,E,3,N,5,5,310970,651617,0,0,1900,0,0,Greenwich Village Historic District, ,2.66,2.43,0,4.8,1,1005720022,0,63,984847,206483,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.4086549,2390.442322,340647,8,0,3287,3287,11,2475,18.70499992,23.00666618,4.30166626,19.3977271,1.484375718,213.3749981 +3287,MN,205,24,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,109 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,CHUNG KUO KUO MIN TAN,2525,8719,2500,6219,0,2500,0,0,0,0,2,2,5,26,28,25,99.67,25,49, ,0,Y,5,2,170550,649350,0,0,1900,1986,0, , ,3.45,6.02,6,6.5,1,1002050024,0,41,984913,200699,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,254.6974283,2526.681024,478800,0,0,3288,3288,11,2475,31.4109993,32.07222366,0.661224365,31.48810057,0.192295873,346.3691063 +3288,MN,283,12,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,131 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0,P,"KUO, LI YING",2521,10400,0,10400,0,0,0,0,0,0,2,1,5,20,20,25.33,100,25,87, ,2,N,5,2,141750,356850,0,0,1900,1984,0, , ,4.13,3.44,0,6.5,1,1002830012,0,6,986708,199230,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,260.1126548,2642.905106,215100,16,0,3289,3289,11,2475,28.23333359,31.39800072,3.16466713,28.5210306,0.909777833,313.7313366 +3289,MN,540,34,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,210 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,EVGER SULLIVN ST RLTY,2500,9525,0,9525,0,0,0,0,0,0,2,2,5,25,25,25,100,25,52, ,0,N,5,2,194850,936900,0,0,1900,1987,0,South Village Historic District, ,3.81,3.44,0,6.5,1,1005400034,0,65,984158,204977,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,255.034108,2530.145887,742050,9,0,3290,3290,11,2475,22.5755558,28.28777885,5.712223053,23.43566686,1.73339185,257.7923355 +3290,MN,586,44,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,48 BEDFORD STREET,C2-6, , , , , , , , , ,N,C4,2,0, ,KEN DEVELOPMENT LLC,1675,6705,0,6705,0,0,0,0,0,0,2,1,5,10,10,15.67,75,23,62, ,3,Y,5,2,149430,449049,0,0,1900,2012,0,Greenwich Village Historic District Exte, ,4,3.44,2,6.5,1,1005860044,0,67,983087,205470,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,194.6167079,1742.851058,299619,9,0,3291,3291,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +3291,MN,836,7501,105,76,1000,2,4,10001,E065,14,15,5200,2,5, ,15 WEST 34 STREET,C5-3,C6-4.5, , , , ,MID, , , ,Y,RC,5,0, , ,6325,47963,47963,0,37368,10595,0,0,0,0,2,1,8,0,8,50,126.5,50,110, ,3,N,0,5,5219997,13471647,0,0,1907,1983,0, , ,7.58,10,15,15,1,1008367501,2106,76,988231,212241,8d, ,104 027,10306, ,1008360023,12/11/2009,1, , ,17V1.1,7,367.8243024,6654.406053,8251650,10,0,3292,3292,29,6525,49.62900162,54.90522385,5.276222229,49.8394728,0.963128292,1445.344711 +3292,MN,873,40,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,150 EAST 18 STREET,R8B,C1-9A, , , , , , , , ,Y,D6,4,0, ,"SIBA R.E., L.P.",19573,235264,18600,216664,0,6000,11600,0,0,1000,2,1,14,221,223,92,212.75,92,193, ,2,N,3,2,2668500,20094300,0,0,1960,1984,0, , ,12.02,4,0,4,1,1008730040,0,50,988135,207356,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,632.4331086,21634.66626,17425800,5,0,3293,3293,97,21825,29.8777771,32.69888687,2.821109772,30.94817637,0.419815262,3001.973108 +3293,MN,504,31,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,112 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,D1,3,0, ,110 REALTY EQUITIES L,8100,38880,0,38880,0,0,0,0,0,0,2,1,6,60,60,81,100,81,80, ,0,N,5,2,679500,4418100,0,0,1920,1963,0,Sullivan-Thompson Historic District, ,4.8,3.44,0,6.5,1,1005040031,0,49,983396,203775,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,369.2860564,8395.486414,3738600,0,0,3294,3294,38,8550,17.73666573,23.29111099,5.554445267,18.45660737,1.454945123,701.3510799 +3294,MN,927,31,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,373 1 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0,P,373 ASSOCS,2400,3740,1580,2160,500,1080,0,0,0,0,2,1,3,2,3,24,100,24,45, ,3,N,5,0,77471,136857,0,0,1950,0,0, , ,1.56,4,2,4,1,1009270031,0,64,989943,207493,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,253.478848,2510.779834,59386,11,0,3295,3295,11,2475,12.9244442,12.9244442,0,12.9244442,0,142.1688862 +3295,MN,390,34,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,115 AVENUE C,R7A, , , ,C1-5, , , , , ,N,K4,4,0,P,JOEL VENTURES LLC,1218,3586,3586,0,0,2864,0,0,0,722,2,1,3,0,1,19.33,63,19.33,45, ,2,N,5,2,76500,684000,0,0,1899,2009,0, , ,2.94,4,0,4,1,1003900034,0,2602,990106,203215,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,165.6102047,1244.566398,607500,12,1,3296,3296,5,1125,7.409999847,8.861110687,1.45111084,7.700222015,0.580444336,38.50111008 +3296,MN,689,17,104,99,1024,2,3,10011,E003,10,15,5500,1,4,1B,501 WEST 17 STREET,C6-4, , , , , ,WCH, , , ,N,V1,11,1,P,76 ELEVENTH AVENUE PR,76425,0,0,0,0,0,0,0,0,0,7,1,0,0,0,380,184,0,0, ,0,Y,1,5,6666300,6717600,0,0,0,0,0, , ,0,10,10,10,1,1006890017,0,99,982194,210591,8b, ,103 043,10301,E-142,0, ,1,1,1,17V1.1,0,1235.494172,79786.74707,51300,7,1,3297,3297,354,79650,7.422222137,10.81000042,3.387778282,9.056151872,0.718367074,3205.877763 +3297,MN,409,20,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,91 LUDLOW STREET,C6-2A,C4-4A, , , , , , , , ,Y,E9,6,0, ,WIN SUN ENTERPRISE IN,4437,6000,6000,0,0,2000,0,0,4000,0,2,1,3,0,1,51.08,87.83,25,80, ,0,Y,5,5,220500,584100,0,0,1900,0,0, , ,1.35,6.02,6,6.5,1,1004090020,0,18,987173,201026,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,279.0407068,4495.238107,363600,13,0,3298,3298,21,4725,35.36399841,35.82666779,0.462669373,35.39480282,0.100559117,743.2908592 +3298,MN,132,7504,101,21,2004,2,1,10007,L010,1,15,7700,1,1, ,83 MURRAY STREET,C6-2A,C6-3, , , , ,TMU, , , ,Y,RM,4,0, , ,2476,10200,1882,8318,0,0,0,0,0,1882,2,2,6,5,6,24.79,99.87,0,0, ,0,Y,0,5,146720,376075,0,0,1924,0,0, , ,4.12,6.02,6,6.5,1,1001327504,1069,21,981242,199759,12b, ,11S 015,10104, ,1001320010,3/24/2000,1, , ,17V1.1,7,262.5541457,2595.588691,229355,3,1,3299,3299,12,2700,17.78899956,17.78899956,0,17.78899956,0,213.4679947 +3299,MN,454,63,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,313 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,315 321 APT CORP,5162,21178,0,21178,0,0,0,0,0,0,2,1,6,36,36,50,103.25,50,87, ,3,N,5,2,450000,1553850,25960,25960,1900,0,0, , ,4.1,4,0,4,1,1004540063,0,40,988417,205552,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,315.075583,5404.352098,1103850,12,0,3300,3300,25,5625,22.37666702,22.37666702,0,22.37666702,0,559.4166756 +3300,MN,396,7,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,227 AVENUE B,C1-6A, , , , , , , , , ,N,K1,5,0, ,TM ANDROS LLC,3289,3260,3260,0,0,3260,0,0,0,0,2,1,1,0,3,68.75,47.83,68,47, ,2,N,3,2,202500,644850,0,0,1936,1988,0, , ,0.99,4,2,4,1,1003960007,0,28,990344,204931,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,242.7204995,3540.791367,442350,12,1,3301,3301,15,3375,10.09222221,10.71255589,0.620333672,10.13357779,0.154738404,152.0036669 +3301,MN,746,7504,104,93,2001,2,3,10011,L012,10,15,5200,1,4, ,305 WEST 22 STREET,R7B, , , , , , , , , ,N,R4,3,0,P,L DAVID RUBENSTEIN,7400,24388,0,24388,0,0,0,0,0,0,2,1,5,26,26,0.16,0,0,98.9, ,0,N,5,5,464399,3015002,23600,23600,1920,1985,0,Chelsea Historic District Extension, ,3.3,3,0,3,1,1007467504,309,93,984409,210724,8d, ,105S007,10303, ,1007460031,12/25/1986,1, , ,17V1.1,7,354.2523094,7697.931976,2550600,2,0,3302,3302,35,7875,15.97222233,15.97222233,0,15.97222233,0,559.0277815 +3302,MN,500,18,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,116 PRINCE STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,116 PRINCE STREET LL,1420,5490,2745,2745,0,2745,0,0,0,0,2,1,4,2,4,20,71,20,70,E,3,N,5,5,450525,612061,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,3.87,0,5,6.5,1,1005000018,0,49,984320,203418,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,182.6441265,1373.221412,161536,0,0,3303,3303,5,1125,24.89599991,24.89599991,0,24.89599991,0,124.4799995 +3303,MN,585,65,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,6 GROVE COURT,R6, , , , , , , , , ,N,A3,1,0, ,ALAN L ROWEN,408,1152,0,1152,0,0,0,0,0,0,2,1,3,1,1,16.92,24,16.92,24, ,2,Y,6,2,23837,87091,1550,1550,1901,0,0,Greenwich Village Historic District, ,2.82,2.43,0,4.8,1,1005850065,0,73,982585,205979,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,84.41451305,435.0411496,63254,9,0,3304,3304,1,225,18.5988884,18.5988884,0,18.5988884,0,18.5988884 +3304,MN,846,23,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,864 BROADWAY,C6-4,M1-5M, , , , ,US, , , ,Y,S3,4,0,P,864 BROADWAY CORP,1950,4608,1728,2880,0,1728,0,0,0,0,2,1,4,3,4,25,82.42,25,80,E,3,Y,5,5,375378,830348,0,0,1900,2009,0,Ladies' Mile Historic District, ,2.36,10,10,10,1,1008460023,0,52,987029,207900,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,214.3491016,2031.291875,454970,7,0,3305,3305,8,1800,41.51599884,44.33889008,2.822891235,41.86886024,0.933583523,334.950882 +3305,MN,13,5,101,13,2008,2,1,10004,E010,1,15,7700,1,1, ,9 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,BOWLING GREEN ASSOCIA,28814,434220,434220,0,411720,22500,0,0,0,0,2,1,22,0,126,162.33,200.67,162,200, ,3,Y,4,1,5625000,31519350,0,0,1900,1920,0, ,BOWLING GREEN OFFICES BUILDING,15.07,10,15,15,1,1000130005,0,13,980293,196230,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,709.632239,30686.07074,25894400,15,1,3306,3306,138,31050,12.67555523,16.38244438,3.706889153,15.07731997,0.335087489,2080.670156 +3306,MN,826,16,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,41 WEST 24 STREET,M1-6, , , , , , , , , ,N,D7,4,0,P,MADISON PARK 24 LLC,2057,15686,2000,13686,0,2000,0,0,0,0,2,1,8,12,13,20.83,98.75,20.8,94,E,2,N,5,2,315000,1571850,0,0,1910,2014,0, , ,7.63,0,10,10,1,1008260016,0,58,986698,210090,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,241.40225,2156.04118,1256850,2,0,3307,3307,9,2025,33.45800018,33.45800018,0,33.45800018,0,301.1220016 +3307,MN,803,7502,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,301 7 AVENUE,M1-6, , , , , , , , , ,N,RC,5,0, ,"NEWMARK,KNIGHT & FRAN",8068,119248,119248,0,0,7202,0,112046,0,0,2,1,21,0,35,77.75,106.2,0,0, ,0,Y,3,5,3630601,16132052,1848853,7694733,1920,0,0, , ,14.78,0,10,10,1,1008037502,827,95,986085,211299,8d, ,100 000,10305, ,1008030001,4/14/1993,1, , ,17V1.1,7,373.4997298,8339.088153,12501500,2,0,3308,3308,37,8325,33.01555634,37.16799927,4.152442932,36.90935671,0.937128739,1365.646198 +3308,MN,422,56,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,247 ELDRIDGE STREET,C6-2A, , , , , , , , , ,N,D9,3,0,P,"247 LMS, LC",1271,7926,1100,6826,0,1100,0,0,0,0,2,1,6,10,11,25.42,50,25.46,50, ,3,N,5,2,128700,520200,0,0,2001,0,0, , ,6.24,6.02,6,6.5,1,1004220056,0,3601,987088,202622,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,157.221402,1399.047248,391500,1,0,3309,3309,7,1575,36.93666458,36.93666458,0,36.93666458,0,258.5566521 +3309,MN,636,4,102,75,1007,2,3,10014,L005,6,15,6400,1,2,2B,391 WEST STREET,C1-6A, , , , , , , , , ,N,S5,4,0,P,EIGHT WEEHAWKEN LLC,815,4075,815,3260,0,815,0,0,0,0,2,1,5,5,6,28.25,28.83,28,29, ,3,N,5,5,35675,115199,0,0,1910,1984,0,Weehawken Street Historic District, ,5,4,2,4,1,1006360004,0,75,981484,206268,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,122.6853274,940.6458581,79524,9,1,3310,3310,5,1125,7.726000309,7.93888855,0.212888241,7.807466793,0.081730418,39.03733397 +3310,MN,406,57,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,515 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"515E12, LLC",2581,9309,1200,8109,0,1200,0,0,0,0,2,2,5,20,22,25,103.25,25,52, ,0,N,5,5,360000,1561050,0,0,1900,1985,0, , ,3.61,4,0,4,1,1004060057,0,34,989682,204852,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,262.345035,2642.391691,1201050,12,0,3311,3311,11,2475,13.0880003,15.86111069,2.77311039,13.9703233,1.023229557,153.6735563 +3311,MN,450,3,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,136 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,O9,5,0,P,ORGANIZATION FR ETAL,7634,31940,18205,13735,12877,5328,0,0,0,0,2,2,6,18,34,38,150,36,148,E,3,Y,5,2,688500,2261700,357992,1176010,1938,1989,0, , ,4.18,4,0,4,1,1004500003,0,38,987828,204736,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,516.6665465,7560.297384,1573200,12,0,3312,3312,33,7425,25.4810009,33.63666534,8.155664444,25.96599064,1.909779628,856.8776913 +3312,MN,595,41,101,39,1003,2,1,10013,L008,1,15,7700,1,1,3B,474 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,474 GREENWICH CORP,4500,25159,0,25159,0,0,0,0,0,0,2,1,6,12,12,56.25,80,56,72, ,3,N,5,2,141750,2331000,11800,11800,1900,0,0, , ,5.59,6.02,6,6.5,1,1005950041,0,39,981583,203219,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,274.9804781,4512.470617,2189250,0,1,3313,3313,21,4725,7.909999847,9.54777813,1.637778282,8.017036892,0.366048512,168.3577747 +3313,MN,469,14,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,212 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,212 PRT LLC,2478,9895,1879,8016,0,1879,0,0,0,0,2,1,6,10,11,24,103.25,24,100, ,3,N,5,0,780750,1080450,0,0,1920,1987,2011, , ,3.99,4,2,4,1,1004690014,0,40,987924,206252,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,260.7552565,2524.716446,299700,12,0,3314,3314,12,2700,34.03666687,34.11155701,0.074890137,34.04290771,0.02069854,408.5148926 +3314,MN,283,33,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,141 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,W2,8,0,X,MESIVTHA TIFERETH,4483,6870,6870,0,0,0,0,0,0,6870,2,1,3,0,1,50,104.42,50,45, ,3,Y,5,2,459000,1037700,459000,1037700,1940,1967,0, , ,1.53,3.44,0,6.5,1,1002830033,0,6,986659,199306,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,316.3361902,4617.715513,578700,16,0,3315,3315,19,4275,31.39800072,37.34777832,5.949777603,34.09705303,2.690686372,647.8440075 +3315,MN,544,65,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,2 COOPER SQUARE,M1-5B, , , , , , , , , ,N,D6,4,0, ,10-12 COOPER SQUARE I,13542,128300,3300,125000,0,3300,0,0,0,0,2,2,16,133,134,71,90,0,0, ,1,Y,3,0,1687500,29463750,0,16158951,2009,0,0, , ,9.47,0,5,6.5,1,1005440065,0,57,986524,204328,12c, ,103 024,10207,R-121,1005440059,4/7/2011,1, , ,17V1.1,0,528.8940899,14562.13436,27776300,9,0,3316,3316,64,14400,41.40888977,42.88000107,1.471111298,41.90968812,0.418002398,2682.220039 +3316,MN,2,2,101,9,1025,2,1,10004,L015,1,15,7700,1,1, ,10 SOUTH STREET,C4-6, , , , , ,LM, , , ,N,Y7,7,0,C,"10 SSA LANDLORD, LLC",191502,158197,158197,0,0,0,0,0,0,158197,2,1,5,0,1,311.61,555.84,205,270, ,0,Y,2,5,18787500,25389900,18787500,25389900,1900,2001,0, , ,0.83,10,3.4,10,1,1000020002,0,9,981037,194506,12b, ,11N 100,10101, ,1000020001,8/7/2012,1,1,1,17V1.1,0,2411.86872,87244.09928,6602400,17,1,3317,3317,334,75150,0,15.17022228,15.17022228,0.630271921,2.051441578,210.5108215 +3317,MN,781,2,105,101,1004,2,3,10121,L024,14,15,5200,1,5,1H,392 7 AVENUE,C6-6,C6-4, , , , ,MID,HY, , ,Y,U6,7,0,P,NATIONAL RAILROAD PAS,117085,0,0,0,0,0,0,0,0,0,7,2,0,0,0,455,257.33,0,0, ,0,N,5,5,0,0,0,0,0,0,0, , ,0,10,15,15,1,1007810002,0,101,986430,212515,8d, ,105S022,10304, ,0, ,1, , ,17V1.1,0,1547.153826,113694.7085,0,6,0,3318,3318,506,113850,34.17666626,43.5988884,9.422222137,38.68502669,2.281948253,19574.6235 +3318,MN,753,31,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,309 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,309 W 29TH STREET PAR,2173,4450,0,4450,0,0,0,0,0,0,2,1,4,8,8,22,98.75,22,55,E,3,N,5,1,89236,415962,0,0,1900,1986,0, , ,2.05,4,0,4,1,1007530031,0,97,985274,212352,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,250.8842262,2317.034445,326726,6,0,3319,3319,11,2475,28.20800018,32.12110901,3.913108826,29.92141412,1.602224852,329.1355553 +3319,MN,505,14,102,37,3004,2,3,10013,E024,1,15,6800,1,2,1B,30 VANDAM STREET,M1-6, , , , , ,HSQ, , , ,N,O5,5,0, ,"DARA PARTNERS, L.P. C",5000,27286,27286,0,22286,5000,0,0,0,0,2,1,6,0,9,50.08,100,50.08,100, ,0,N,5,5,562500,3420900,0,0,1900,2012,2015, , ,5.46,0,10,10,1,1005050014,0,37,982870,203828,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,326.696501,5870.384814,2858400,0,0,3320,3320,27,6075,22.38699913,24.02222252,1.635223389,22.54625433,0.458044721,608.748867 +3320,MN,935,56,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,306 EAST 30 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,"HYMAN, DAVID",2074,3780,0,2835,0,0,0,0,0,0,2,1,3,2,2,21,98.75,21,45, ,3,N,5,1,63598,177069,0,0,1910,0,0, , ,1.82,3,0,3,1,1009350056,0,70,990545,209545,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,247.5711243,2318.043321,113471,10,0,3321,3321,10,2250,34.70000076,37.18111038,2.481109619,35.44173431,0.698280559,354.4173431 +3321,MN,884,42,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,400 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,D3,3,0,X,SENIOR LIVING OPTIONS,2963,35107,0,35107,0,0,0,0,0,0,2,1,16,30,30,24.71,120,24.71,89, ,2,Y,5,2,855000,2068650,855000,2068650,2004,0,0, , ,11.85,10,2,10,1,1008840042,0,72,989515,209751,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,294.7385145,2909.860135,1213650,11,0,3322,3322,14,3150,37.06100082,40.16444397,3.103443146,37.65811157,1.034466981,527.213562 +3322,MN,620,12,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,108 CHARLES STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,106 & 108 CHARLES LLC,2283,7920,0,7920,0,0,0,0,0,0,2,1,5,20,20,24.75,92.25,25,64, ,2,N,5,2,270000,1285200,0,812160,1901,1986,2010,Greenwich Village Historic District, ,3.47,3.44,2,6.5,1,1006200012,0,73,982674,206810,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,231.9750399,2185.259865,1015200,9,0,3323,3323,9,2025,22.63400078,24.54222107,1.908220291,23.30525992,0.771081072,209.7473392 +3323,MN,451,54,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,315 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,PSA 315 EAST 9TH STRE,2306,10590,800,9790,0,800,0,0,0,0,2,1,6,24,26,25,92.25,25,78.5, ,3,N,5,2,180000,975150,0,0,1900,0,0, , ,4.59,4,0,4,1,1004510054,0,40,988051,204878,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.9357857,2416.562337,795150,12,0,3324,3324,11,2475,23.62299919,27.21133232,3.58833313,23.94921129,1.031573245,263.4413242 +3324,MN,525,56,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,88 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,K9,5,0, ,"LOKEE,",1838,7348,1800,5548,0,1800,0,0,0,0,2,1,4,0,7,18.75,98,19,98, ,3,N,3,2,413550,1779750,0,0,1900,1996,0,South Village Historic District, ,4,3.44,0,6.5,1,1005250056,0,65,984294,204235,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,239.1008463,2014.790708,1366200,9,0,3325,3325,9,2025,23.62666702,26.71888924,3.092222214,23.97024727,0.971791687,215.7322254 +3325,MN,477,74,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,62 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0, ,BROOME PROPERTY OWNER,1717,28027,2242,25785,0,2242,0,0,0,0,2,1,25,10,11,21.33,80.5,0,0, ,0,N,5,5,945450,1449900,0,0,0,0,0, , ,16.32,0,10,10,1,1004770074,0,37,982701,203016,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,198.9192173,1675.599503,504450,0,0,3326,3326,7,1575,12.40699959,16.30111122,3.894111633,14.22220625,1.653228372,99.55544376 +3326,MN,779,23,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,227 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,KEW MANAGEMENT CORP,4522,55000,55000,0,52000,3000,0,0,0,0,2,1,14,0,3,46.83,98.75,46.83,98.75, ,0,N,5,5,356850,3640500,0,0,1927,0,0, , ,12.16,10,10,10,1,1007790023,0,95,985918,211993,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,294.9369399,4654.782839,3283650,6,0,3327,3327,21,4725,31.05999947,31.05999947,0,31.05999947,0,652.2599888 +3327,MN,451,24,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,226 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,NANCY A HURLEY,2300,5728,0,5728,0,0,0,0,0,0,2,1,4,8,8,25,92.25,25,56, ,3,N,5,2,39829,158991,0,0,1900,0,0, , ,2.49,4,0,4,1,1004510024,0,40,988250,204877,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,237.9997846,2290.879599,119162,12,0,3328,3328,11,2475,23.10400009,26.26555634,3.161556244,23.75777782,0.942151928,261.335556 +3328,MN,425,14,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,209 BOWERY,C6-1, , , , , , , , , ,N,E1,6,0, ,BALTER FAMILY PARTNER,7106,36206,36206,0,1066,1804,0,18132,15204,0,2,3,5,0,3,49.1,116.33,49,117, ,0,Y,5,5,675000,1777950,0,0,1900,0,0, , ,5.1,3.44,6,6.5,1,1004250014,0,18,986142,202074,12c, ,101N077,10204, ,1004250014,10/24/1991,1, , ,17V1.1,0,445.1889035,7658.456079,1102950,13,0,3329,3329,34,7650,38.80888748,42.83444595,4.025558472,39.01244646,0.753635411,1326.42318 +3329,MN,408,22,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,334 GRAND STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,334 GRAND STREET REAL,1472,8395,4395,4000,2930,1465,0,0,0,0,2,1,7,2,5,24.5,60.08,24.5,60, ,3,Y,3,2,202500,1215000,0,0,1900,1985,2007, , ,5.7,4,4,4,1,1004080022,0,18,987024,200560,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,178.4593206,1646.147657,1012500,13,0,3330,3330,6,1350,36.36111069,36.36111069,0,36.36111069,0,218.1666641 +3330,MN,804,44,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,104 WEST 29 STREET,C6-4X,M1-6, , , , , , , , ,Y,O6,5,0, ,104 WEST 29 ST CO,10235,121579,121579,0,114079,7500,0,0,0,0,2,1,12,0,18,103.58,98.75,104,98, ,0,Y,5,5,1593000,8165700,0,0,1923,2003,0, , ,11.88,10,10,10,1,1008040044,0,95,986800,211327,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,409.8045863,10494.66222,6572700,6,0,3331,3331,45,10125,40.67900085,41.60889053,0.929889679,40.74034644,0.187568494,1833.31559 +3331,MN,802,56,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,122 WEST 27 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,NORTHERN STAR TEXTILE,9752,117291,117291,0,97291,10000,0,10000,0,0,2,2,12,0,19,98.75,98.75,99,96, ,2,N,5,2,1620000,7688250,0,0,1912,0,0, , ,12.03,0,10,10,1,1008020056,0,95,986380,210970,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,401.6690864,10080.48335,6068250,2,0,3332,3332,44,9900,37.73888779,38.62444687,0.885559082,38.26158177,0.096525768,1683.509598 +3332,MN,573,57,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,25 WEST 9 STREET,R6, , , , , , , , , ,N,C4,2,0, ,RICHARD KORCHAK,1692,4068,1017,3051,0,1017,0,0,0,0,2,1,4,6,7,18.33,92.25,18,54, ,3,N,5,2,70481,439238,0,0,1900,1987,0,Greenwich Village Historic District, ,2.4,2.43,0,4.8,1,1005730057,0,63,985050,206542,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,225.5547771,1765.568503,368757,8,0,3333,3333,8,1800,18.98099899,19.63555527,0.654556274,19.06281853,0.21647414,152.5025482 +3333,MN,447,21,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,330 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,330 E. 6TH LLC,2425,12125,0,12125,0,0,0,0,0,0,2,1,5,9,9,25,97,25,52, ,3,N,5,2,21587,230956,0,0,1900,2008,2008,East Village/Lower East Side Historic Di, ,5,4,0,4,1,1004470021,0,38,987792,203998,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,249.0259189,2447.010518,209369,1,0,3334,3334,9,2025,28.15800095,29.96888924,1.81088829,28.46918594,0.613500816,256.2226734 +3334,MN,372,39,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,11 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,DARIEL REALTY CORP.,3419,14400,3000,11400,0,3000,0,0,0,0,2,1,6,16,19,46.83,93,47,74, ,3,Y,5,2,481500,2682900,0,0,1900,0,0, , ,4.21,6,0,6,1,1003720039,0,2202,990167,201784,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,290.2502081,3724.936307,2201400,1,1,3335,3335,17,3825,10.24333286,12.47000027,2.226667404,10.45849632,0.604838679,177.7944374 +3335,MN,583,29,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,59 BEDFORD STREET,C2-6, , , , , , , , , ,N,D0,3,0,P,MOR SEVENTH AVENUE OW,8403,47846,0,47846,0,0,0,0,0,0,2,1,8,25,25,75,113,75,60, ,2,Y,3,2,585000,4295250,23600,23600,1920,1983,0,Greenwich Village Historic District, ,5.69,3.44,2,6.5,1,1005830029,0,67,982934,205510,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,423.863158,7520.476592,3710250,9,0,3336,3336,35,7875,15.38333321,16.79000092,1.406667709,15.65539676,0.467405384,547.9388866 +3336,MN,562,35,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,49 EAST 10 STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,TCH 10TH ST LLC C/O,2654,7252,1600,5652,0,1600,0,0,0,0,2,1,4,8,10,28,94.75,28,80, ,3,N,5,1,201181,678492,0,0,1900,0,0, , ,2.73,3.44,0,6.5,1,1005620035,0,61,986404,206073,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,246.8641797,2589.021356,477311,8,0,3337,3337,11,2475,34.39444351,34.39444351,0,34.39444351,0,378.3388786 +3337,MN,464,58,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,5 ST MARKS PLACE,R8B,C6-1, , , , , , , , ,Y,C7,4,0,P,SAND REALTY LLC C/O O,2375,8845,1769,7076,0,1769,0,0,0,0,2,1,5,15,17,24,109.83,24,88, ,3,Y,5,2,418500,1908900,0,0,1920,0,0, , ,3.72,4,0,4,1,1004640058,0,38,987223,205059,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,268.5504629,2549.677328,1490400,12,0,3338,3338,10,2250,34.9980011,35.50888824,0.510887146,35.13635597,0.212525693,351.3635597 +3338,MN,719,31,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,415 WEST 21 STREET,R7B, , , , , , , , , ,N,A5,1,0, ,"WALSH, CO-TRUSTEE, JE",2299,4224,0,3168,0,0,0,0,0,0,2,1,3,1,1,22,104.5,22,48,E,3,N,5,1,30633,78934,0,0,1900,2000,2006,Chelsea Historic District, ,1.84,3,0,3,1,1007190031,0,89,983436,210973,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,255.5179705,2228.424098,48301,7,1,3339,3339,10,2250,9.307999611,15.94999981,6.642000198,12.12955523,2.891620259,121.2955523 +3339,MN,459,48,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,3 EAST 3 STREET,R8B,C6-1, , , , , , , , ,Y,C3,2,0, ,3 EAST 3RD STREET LLC,3847,3140,0,3140,0,0,0,0,0,0,2,1,3,4,4,40,96.17,40,43,E,3,N,5,5,140249,190399,0,0,1900,1982,0, , ,0.82,4,0,4,1,1004590048,0,38,986683,203905,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,278.4523619,3227.544864,50150,1,0,3340,3340,16,3600,35.86666489,40.57777786,4.711112976,37.77050757,1.894177024,604.3281212 +3340,MN,587,7501,102,67,4000,2,3,10014,E024,6,15,6400,2,2, ,78 BEDFORD STREET,R6, , , , , , , , , ,N,R2,2,0, ,STAR CORNER CONDOMINI,5663,14563,0,14563,0,0,0,0,0,0,2,1,5,30,30,75.35,75.17,0,0, ,0,Y,5,5,427500,1807648,21661,37323,1929,1929,0,Greenwich Village Historic District, ,2.57,2.43,0,4.8,1,1005877501,293,67,982909,205857,12a, ,103 004,10208, ,1005870040,12/25/1986,1, , ,17V1.1,7,322.1072413,5560.987816,1380150,9,0,3341,3341,24,5400,17.76222229,19.52444458,1.76222229,17.98238897,0.524730314,431.5773354 +3341,MN,526,14,102,65,3002,2,3,10014,L009,6,15,5700,1,2,2A,264 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MACDOUGAL & SIXTH REA,4000,15900,1050,14850,0,1050,0,0,0,0,2,1,6,30,32,40,100,40,86, ,3,N,5,2,391500,2301750,0,1399539,1900,1988,2003,South Village Historic District, ,3.98,3.44,0,6.5,1,1005260014,0,65,983669,204871,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,285.5661878,4111.30404,1910250,9,0,3342,3342,17,3825,20.00333405,22.62222099,2.618886948,20.15738622,0.616208694,342.6755657 +3342,MN,438,45,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,265 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,ASHRAB LLC,2369,7037,1200,5837,0,1200,0,0,0,0,2,1,5,8,9,25,94.75,25,52, ,3,N,5,2,42293,156384,0,0,1900,1988,0, , ,2.97,4,0,4,1,1004380045,0,34,988909,204685,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,248.848048,2463.525441,114091,12,0,3343,3343,11,2475,17.98900032,20.43111038,2.442110062,18.26573753,0.706070197,200.9231129 +3343,MN,353,51,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,106 NORFOLK STREET,R7A, , , , , , , , , ,N,C7,4,0, ,106 NORFOLK STREET AS,3772,15429,600,14829,0,600,0,0,0,0,2,1,6,28,30,37.58,100.17,38,86, ,2,N,5,2,269100,1980900,0,0,1910,0,0, , ,4.09,4,0,4,1,1003530051,0,1402,987892,201164,12c, ,101N079,10201, ,0, ,1, , 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, , , , , , , ,N,C7,4,0,P,516 ASSOCIATES INC,2370,10674,875,9799,0,875,0,0,0,0,2,1,6,18,19,25,94.75,25,78, ,3,N,5,1,90000,1296000,0,0,1900,0,0, , ,4.5,4,0,4,1,1004040012,0,34,989498,204470,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,244.5839067,2471.74923,1206000,12,0,3396,3396,11,2475,12.53199959,13.3326664,0.800666809,12.60478748,0.230175524,138.6526623 +3396,MN,279,7502,103,27,1003,2,1,10038,E009,5,14,7800,1,3, ,11 EAST BROADWAY,C6-1G,R7-2, , , , ,TA, , , ,Y,RC,5,0, , ,5620,58295,57675,0,3080,0,0,54595,0,0,2,1,15,0,33,50.5,102.58,30,90, ,0,Y,3,5,990000,7319700,0,0,1991,0,0, , ,10.37,3.44,6,6.5,1,1002797502,1691,27,984971,199112,12d, ,101S029,10107, ,1002790059,5/14/2007,1, , ,17V1.1,7,350.856566,6005.409925,6329700,16,0,3397,3397,25,5625,27.60099983,32.97222137,5.371221542,29.68763557,2.372282912,742.1908894 +3397,MN,902,24,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,237 EAST 21 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,RC CHUR OF EPIPHANY,2690,9708,9708,0,0,0,0,0,0,9708,2,1,4,0,1,45,71.75,45,71.75, ,2,Y,5,1,210600,558450,210600,558450,1920,0,0, , ,3.61,4,0,4,1,1009020024,0,64,989158,207778,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,235.1354531,2757.367907,347850,5,0,3398,3398,12,2700,19.86555672,19.86555672,0,19.86555672,0,238.3866806 +3398,MN,285,21,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,209 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,GENL COUNC PRIM CHR C,4375,14350,14350,0,0,0,0,0,0,14350,2,1,2,0,2,50,87.5,50,88, ,3,N,5,2,459000,1213650,459000,1213650,1974,0,0, , ,3.28,3.44,0,6.5,1,1002850021,0,6,987640,199416,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,284.5927549,4607.445771,754650,13,0,3399,3399,21,4725,23.9640007,28.44888878,4.484888077,24.18932343,0.953914201,507.9757919 +3399,MN,206,17,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,123 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S5,4,0,P,WEST 27 LLC,2150,7434,2000,5434,0,2000,0,0,0,0,2,1,4,6,7,42.75,50.5,43,41, ,3,Y,5,2,60131,268864,0,0,1910,1984,0, , ,3.46,6.02,6,6.5,1,1002060017,0,41,984735,200849,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,197.7995826,2439.243767,208733,0,0,3400,3400,11,2475,25.95999908,25.95999908,0,25.95999908,0,285.5599899 +3400,MN,543,48,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,136 WEST 4 STREET,R7-2, , , , , , , , , ,N,D1,3,0,P,WEST VILLAGE REALTYAS,5123,20874,0,20874,0,0,0,0,0,0,2,1,6,30,30,47,109,47,92, ,3,N,5,2,504000,1936350,0,0,1929,1988,0,South Village Historic District, ,4.07,3.44,0,6.5,1,1005430048,0,65,984164,205643,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,321.4200243,5379.313468,1432350,9,0,3401,3401,25,5625,18.19555664,20.38777733,2.192220688,18.33190765,0.482536911,458.2976913 +3401,MN,199,32,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,104 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,104 BAYARD ST CORP,2500,9250,1850,7400,0,1850,0,0,0,0,2,2,5,19,21,25.17,100,25,47, ,3,Y,5,2,168750,575550,0,0,1890,1987,0, , ,3.7,3.44,6,6.5,1,1001990032,0,29,984322,200240,12c, ,101S031,10105, ,0, ,1, , 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CORP,2500,10758,0,10758,0,0,0,0,0,0,2,1,6,24,24,25,100,25,88, ,3,N,5,2,486000,1978200,0,0,1910,1978,0,Greenwich Village Historic District Exte, ,4.3,2.43,0,4.8,1,1005900082,0,67,983521,206037,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.0331096,2550.327567,1492200,9,0,3411,3411,12,2700,19.74111176,23.84000015,4.098888397,20.08490801,1.132226672,241.0188961 +3411,MN,619,42,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,113 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C4,2,0, ,113 CHRISTOPHER ST LL,2437,9295,1800,7495,0,1800,0,0,0,0,2,1,5,16,18,25.42,91,25,71, ,3,N,5,1,540000,1919700,0,0,1901,0,0,Greenwich Village Historic District, ,3.81,2.43,0,4.8,1,1006190042,0,73,982767,206481,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,246.2571976,2489.458371,1379700,9,0,3412,3412,10,2250,20.56999969,20.56999969,0,20.56999969,0,205.6999969 +3412,MN,401,41,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,76 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,545-7 EAST 5TH STREET,2426,10971,2300,8671,0,2300,0,0,0,0,2,1,5,16,21,24.25,100,24,98, ,3,N,3,2,180000,1263600,0,0,1920,1988,0, , ,4.52,4,0,4,1,1004010041,0,32,989168,203079,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,257.1223433,2707.964652,1083600,1,0,3413,3413,13,2925,14.20666695,15.59777832,1.391111374,14.39974389,0.455941963,187.1966705 +3413,MN,528,91,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,65 DOWNING STREET,C2-6, , , , , , , , , ,N,C5,2,0, ,"65 DOWNING STREET, LL",2250,11460,0,11460,0,0,0,0,0,0,2,1,5,23,23,37.58,73,38,76, ,3,Y,5,1,311850,1338300,0,0,1910,0,0, , ,5.09,3.44,2,6.5,1,1005280091,0,67,982895,204908,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,201.9001795,2363.000667,1026450,9,0,3414,3414,10,2250,15.38333321,15.38333321,0,15.38333321,0,153.8333321 +3414,MN,890,81,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,104 EAST 35 STREET,R8B,R10, , , , , , , , ,Y,C7,4,0, ,"SUBHASH CHADDHA, TRUS",4938,17327,6327,11000,6327,0,0,0,0,0,2,6,4,8,14,16.67,98.75,17,80,E,3,N,5,0,675000,1568250,0,0,1900,1988,0,Murray Hill Historic District, ,3.51,4,0,4,1,1008900081,0,72,989670,211551,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,318.6702847,5538.652605,893250,10,0,3415,3415,23,5175,54.3030014,58.23777771,3.934776306,54.6050352,0.988113118,1255.91581 +3415,MN,40,14,101,7,1011,2,1,10005,E004,1,15,7700,1,1, ,48 WALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,48 WALL LLC,12175,281755,281755,0,259055,21200,0,1500,0,0,2,1,32,0,27,99.33,126.5,99,127, ,3,Y,3,2,5895000,21517200,0,0,1928,2000,0, ,(FORMER) BANK OF NEW YORK & TRUST C,23.14,10,15,15,1,1000400014,0,7,981721,196665,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,475.2041649,13244.57453,15622200,17,0,3416,3416,60,13500,20.4109993,28.32999992,7.919000626,20.92842153,1.698510205,1255.705292 +3416,MN,778,38,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,326 7 AVENUE,M1-6, , , , , , , , , ,N,K9,5,0, ,322-326 7TH AVE REALT,2435,10700,10700,0,0,2800,0,7900,0,0,2,1,5,3,4,24.58,98.83,25,99, ,3,Y,5,2,287100,1174950,0,0,1925,2012,0, , ,4.39,0,10,10,1,1007780038,0,95,986049,211640,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,253.5917439,2668.869336,887850,2,0,3417,3417,11,2475,28.45999908,28.47822189,0.018222809,28.4616557,0.005238689,313.0782127 +3417,MN,489,25,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,182 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,K2,5,0,P,NORDICA SOHO LLC,2850,5380,5380,0,2690,2690,0,0,0,0,2,1,2,0,2,50,57,50,57, ,2,N,3,2,675000,843300,0,0,1910,0,0,Sullivan-Thompson Historic District, ,1.89,3.44,0,6.5,1,1004890025,0,47,983452,203346,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,226.2158122,3181.154278,168300,0,1,3418,3418,14,3150,9.686666489,13.61888886,3.932222366,10.30149187,1.3239067,144.2208862 +3418,MN,742,7502,104,89,2001,2,3,10011,L012,10,15,5600,1,4, ,360 WEST 19 STREET,C2-6A, , , , , , , , , ,N,R6,2,0, , ,1393,2597,0,2597,0,0,0,0,0,0,2,1,3,2,2,20,69.67,0,0, ,0,N,0,5,21972,110814,0,0,1920,0,0, , ,1.86,4,2,4,1,1007427502,1110,89,983477,210224,8b, ,103 037,10303, ,1007420070,3/16/2000,1, , ,17V1.1,7,179.6080856,1393.844077,88842,7,0,3419,3419,7,1575,15.59444427,16.45999908,0.86555481,15.71809496,0.30288109,110.0266647 +3419,MN,882,61,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,97 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,EMRALDD 97 LLC,2346,10703,2000,8703,0,2000,0,0,0,0,2,1,5,16,20,24.67,95,24.67,95, ,3,N,3,2,495000,2340450,0,0,1935,1988,0, , ,4.56,6.02,6,6.5,1,1008820061,0,68,989037,209541,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,248.1632775,2593.996566,1845450,11,0,3420,3420,12,2700,31.85222244,35.22555542,3.373332977,32.37361113,1.170143181,388.4833336 +3420,MN,848,28,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,39 EAST 19 STREET,M1-5M, , , , , , , , , ,N,D0,3,0, ,39 EAST 19TH OWNERS C,2300,15150,3600,11550,0,1800,0,1800,0,0,2,1,8,7,8,25,92,25,90,E,0,N,5,2,195652,888335,12210,12210,1900,1988,2004,Ladies' Mile Historic District, ,6.59,0,5,6.5,1,1008480028,0,52,987337,208244,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,247.3020991,2518.210053,692683,7,0,3421,3421,12,2700,35.19100189,39.16233444,3.97133255,35.52194627,1.097618332,426.2633553 +3421,MN,718,1,104,89,4001,2,3,10011,E003,10,15,5600,1,4,1B,440 WEST 21 STREET,R7B, , , , , , , , , ,N,W7,8,0,P,GEN THEO SEMINARY P E,77773,133885,133885,0,0,0,0,0,0,133885,2,2,6,0,16,184,800,96,46, ,0,N,3,5,6840000,10629833,6840000,10629833,1931,0,0,Chelsea Historic District, ,1.72,3,0,3,1,1007180001,0,89,983211,210884,8b, ,103 042,10302, ,1007180001,10/11/2011,1, ,1,17V1.1,0,1884.206191,72104.38448,3789830,7,1,3422,3422,320,72000,9.380000114,20.86222267,11.48222256,16.63907955,3.095378503,5324.505457 +3422,MN,927,34,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,338 EAST 22 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,338-340 EAST 22ND LLC,2438,8885,1000,7885,0,0,0,1000,0,0,2,1,5,20,21,25,97.5,25,83, ,3,N,5,1,197100,1230300,0,447300,1925,2013,0, , ,3.64,4,0,4,1,1009270034,0,64,989861,207527,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,245.2585684,2255.205183,1033200,11,0,3423,3423,11,2475,12.9244442,13.89999962,0.97555542,13.01313106,0.280452465,143.1444416 +3423,MN,875,69,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,16 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,P9,8,0, ,THE PLAYERS CLUB,4367,10713,10713,0,0,10713,0,0,0,0,2,1,4,0,1,32.58,134,32.58,52,E,3,Y,5,2,508500,1099350,0,0,1906,1989,0,Gramercy Park Historic District,THE PLAYERS,2.45,3,0,3,1,1008750069,0,50,987943,207997,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,346.6999953,4580.111875,590850,5,0,3424,3424,20,4500,30.81999969,31.71777725,0.897777557,30.90981083,0.244801861,618.1962166 +3424,MN,885,57,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,142 EAST 30 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,YUNG BROTHERS REAL ES,2469,4932,1932,3000,1932,0,0,0,0,0,2,2,3,1,2,25,98.75,25,40, ,0,N,5,2,34651,221184,0,0,1920,0,0, , ,2,4,0,4,1,1008850057,0,72,989496,210128,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,252.8601305,2591.770942,186533,10,0,3425,3425,12,2700,30.56200027,30.56200027,0,30.56200027,0,366.7440033 +3425,MN,550,18,102,59,2000,2,1,10003,E033,6,15,5700,1,2,2A,62 WASHINGTON MEWS,R6, , , , , , , , , ,N,A4,1,0, ,NEW YORK UNIVERSITY,706,1400,0,1400,0,0,0,0,0,0,2,1,2,1,1,25,28.25,25,28, ,2,N,5,2,49939,134368,49939,114867,1899,0,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005500018,0,59,985359,205847,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,111.4008013,767.5097965,84429,8,0,3426,3426,4,900,26.29888916,27.5233326,1.224443436,26.60500002,0.53019956,106.4200001 +3426,MN,877,47,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,272 3 AVENUE,C2-8A,C1-9A, , , , , , , , ,Y,S1,4,0,P,THIRD K REALTY LLC,1613,3418,1094,2324,0,1094,0,0,0,0,2,1,3,1,2,21.5,75,21.5,42, ,0,N,5,5,102144,172108,0,0,1910,0,0, , ,2.12,10,2,10,1,1008770047,0,68,988647,208139,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,203.1929574,1756.91688,69964,5,0,3427,3427,8,1800,22.27111053,23.5,1.228889465,22.42472172,0.406416989,179.3977737 +3427,MN,780,45,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,204 WEST 31 STREET,M1-5, , , , , , , , , ,N,M9,8,0, ,THE PROVINCE OF ST MA,9066,23110,23110,0,0,0,0,0,0,23110,2,1,3,0,1,128.25,98.75,128,36, ,3,Y,5,2,1278000,3920850,0,0,1974,0,0, , ,2.55,0,5,6.5,1,1007800045,0,101,986234,212254,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,455.7398525,9084.74127,2642850,6,0,3428,3428,41,9225,31.09600067,35.37888718,4.282886505,32.29632568,1.623941369,1324.149353 +3428,MN,469,33,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,221 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,S3,4,0, ,221 SECOND AVENUE LLC,2897,27341,1938,25403,0,1938,0,0,0,0,2,1,4,3,4,25.75,112.5,26,63, ,3,N,5,2,16282,269965,0,0,1900,2009,2009, , ,9.44,4,2,4,1,1004690033,0,40,988261,206020,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,278.3096643,2972.315339,253683,12,0,3429,3429,13,2925,29.06444359,29.53111076,0.466667175,29.14397372,0.155249721,378.8716583 +3429,MN,591,17,102,73,4005,2,3,10014,E024,6,15,6400,1,2,2B,97 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K1,5,0, ,LUROSE REALTY CORPORA,2817,2817,2817,0,0,2817,0,0,0,0,2,1,1,0,1,59.67,83.83,59.67,83.84, ,2,Y,5,0,540000,1170450,0,0,1920,1960,0,Greenwich Village Historic District, ,1,3.44,3.4,6.5,1,1005910017,0,73,983458,206335,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,232.4030963,2814.507904,630450,9,0,3430,3430,11,2475,22.84600067,23.86888886,1.022888184,22.96699056,0.298502399,252.6368961 +3430,MN,799,51,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,116 WEST 24 STREET,M1-6, , , , , , , , , ,N,M3,8,0, ,"127 WEST 23RD OWNER,",1500,5184,5184,0,0,0,0,0,0,5184,2,1,4,0,1,30,50,30,50, ,3,N,5,2,263700,558450,0,0,1920,1985,0, , ,3.46,0,10,10,1,1007990051,0,91,986097,210274,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,166.6429263,1651.215859,294750,2,0,3431,3431,8,1800,29.37700081,35.1566658,5.779664993,30.09945893,1.911444529,240.7956715 +3431,MN,508,36,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,251 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,247-251 OPERATING COR,2640,10370,2000,8370,1000,1000,0,0,0,0,2,1,5,17,19,30,88.58,30,75, ,3,N,5,2,90000,396900,0,0,1910,0,2007, , ,3.93,6.02,6,6.5,1,1005080036,0,43,985897,202895,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,245.6835637,2755.569342,306900,9,0,3432,3432,11,2475,43.06000137,44.18510818,1.125106812,43.16228381,0.323445467,474.7851219 +3432,MN,425,30,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,169 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,K2,5,0, ,BEH CORP.,4548,7500,7500,0,0,7500,0,0,0,0,2,2,2,0,2,36.42,111.58,36,104, ,3,Y,5,0,247500,798300,0,0,1965,0,0, , ,1.65,7.52,6,7.5,1,1004250030,0,18,986239,201915,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,311.8821904,4389.188639,550800,13,0,3433,3433,20,4500,38.80888748,38.80888748,0,38.80888748,0,776.1777496 +3433,MN,514,7504,102,49,1001,2,1,10012,L020,1,15,6800,1,2, ,143 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2500,10380,53,10327,0,0,0,53,0,0,2,1,5,5,6,25,100,0,0, ,0,N,0,5,48173,688658,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.15,0,5,6.5,1,1005147504,1086,49,984590,203799,12c, ,11N 072,10206, ,1005140023,12/23/1999,1, , ,17V1.1,7,257.408096,2588.221485,640485,9,0,3434,3434,12,2700,22.59666634,29.92666626,7.329999924,23.20749966,2.025904955,278.489996 +3434,MN,461,43,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,227 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,TRES TWO,2425,9245,0,9245,0,0,0,0,0,0,2,1,5,22,22,25,97,25,76, ,3,N,5,2,307350,1370700,0,0,1905,1988,0,East Village/Lower East Side Historic Di, ,3.81,4,0,4,1,1004610043,0,38,987084,204275,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.49163,2538.376462,1063350,1,0,3435,3435,11,2475,36.55199814,39.08777618,2.535778046,37.07613997,0.937429445,407.8375397 +3435,MN,451,21,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,220 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,GOLES 220 EAST 10TH S,2306,10512,1800,8712,0,1800,0,0,0,0,2,1,6,9,11,25,92.25,25,82, ,3,N,5,2,177750,865350,177750,703477,1900,1984,0, , ,4.56,4,0,4,1,1004510021,0,40,988185,204913,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,240.4502641,2407.118087,687600,12,0,3436,3436,10,2250,23.10400009,23.10400009,0,23.10400009,0,231.0400009 +3436,MN,572,72,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,57 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,"57 COMPANY,",2348,9490,1700,7790,0,1700,0,0,0,0,2,1,5,16,17,25,93.92,25,74, ,3,N,5,2,164700,972900,0,0,1900,1986,0,Greenwich Village Historic District, ,4.04,3.44,3.4,6.5,1,1005720072,0,63,984571,206524,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.4997123,2439.186267,808200,8,0,3437,3437,10,2250,18.70499992,19.99555588,1.290555954,18.87816658,0.394999536,188.7816658 +3437,MN,484,11,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,523 BROADWAY,M1-5B, , , , , , , , , ,N,S4,4,0, ,523 BROADWAY ASSOCIAT,2407,8876,888,7988,0,888,0,0,0,0,2,1,5,4,5,24.25,100,24,90, ,3,Y,5,5,386542,585197,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,3.69,0,5,6.5,1,1004840011,0,49,984460,202667,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,259.4045601,2429.616146,198655,0,0,3438,3438,12,2700,22.21222115,22.21222115,0,22.21222115,0,266.5466537 +3438,MN,903,7502,106,64,1001,2,2,10010,E005,13,14,5900,1,6, ,381 2 AVENUE,R8A,C1-9A, , , , ,TA, , , ,Y,RX,4,0,P, ,36740,338689,17610,321079,6116,4321,0,5909,0,1264,2,1,17,339,366,325,99,99.25,265, ,0,N,5,5,4155301,40004553,477735,477735,1931,0,0, , ,9.22,6,0,6,1,1009037502,148,64,989265,208042,12c,Y,104 007,10308, ,1009030037,11/30/1985,1, , 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BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0, ,P.S.C. INTERNATIONAL,2045,10895,10895,0,9080,1815,0,0,0,0,2,1,6,0,1,25,81.92,25,70,E,0,Y,5,5,217350,995400,0,0,1900,1989,0, , ,5.33,3.44,6,6.5,1,1002810024,0,8,985470,199340,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,215.8043065,2088.609572,778050,16,0,3446,3446,10,2250,35.10200119,35.10200119,0,35.10200119,0,351.0200119 +3446,MN,283,5,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,117 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,KWEI ON ENTERPRISESIN,2188,8855,0,8855,0,0,0,0,0,0,2,1,5,24,24,25,87.5,25,76, ,3,N,5,2,83250,455850,0,0,1900,0,0, , ,4.05,3.44,0,6.5,1,1002830005,0,6,986533,199206,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,237.8004679,2379.977066,372600,16,0,3447,3447,12,2700,32.40222168,36.87111282,4.468891144,33.14611053,1.663387595,397.7533264 +3447,MN,384,16,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,223 EAST 2 STREET,R8A, , , , , , , , , ,N,L9,6,0, ,ARGENTO ANTHONY,2165,13260,7716,5544,0,0,0,7716,0,0,2,1,7,3,9,24.75,88.25,24.75,77,E,0,Y,5,5,146250,717300,0,0,1900,0,0, , ,6.12,6,0,6,1,1003840016,0,2202,989029,202138,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,233.362766,2284.635174,571050,1,0,3448,3448,9,2025,18.08333397,18.08333397,0,18.08333397,0,162.7500057 +3448,MN,230,7503,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,20 GREENE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,T GEORGE REALTY,7534,40485,10154,30331,0,5495,0,4659,0,0,2,1,7,10,12,0.17,0,0,0, ,0,N,0,5,350103,4594051,2360,2360,1915,0,0,SoHo-Cast Iron Historic District, ,5.37,0,5,6.5,1,1002307503,1111,47,983572,201947,12a, ,11N 046,10105, ,1002300017,3/16/2000,1, , ,17V1.1,7,357.4308059,7806.102263,4243950,0,1,3449,3449,35,7875,11.39777756,13.21688843,1.81911087,11.4826728,0.353938222,401.893548 +3449,MN,379,19,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,420 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,420 EAST 10 ST ASSOCC,2415,9262,0,9262,0,0,0,0,0,0,2,1,5,18,20,26.17,92.25,26,68, ,3,N,5,2,90000,963450,0,0,1900,1988,0, , ,3.84,4,0,4,1,1003790019,0,28,990725,203505,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,242.260964,2526.691422,873450,12,1,3450,3450,11,2475,7.409999847,8.955555916,1.545556068,7.622686733,0.478785036,83.84955406 +3450,MN,809,53,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,112 WEST 34 STREET,C6-4.5,C6-6, , , , ,MID, , , ,Y,O4,5,0, ,ESRT 112 WEST 34TH ST,36350,806417,806417,0,708317,98100,0,0,0,0,2,1,25,0,1051,143,197.5,143,198, ,3,Y,4,2,19620000,79157250,0,12919320,1954,1986,0, , ,22.18,10,12,12,1,1008090053,0,101,987296,212455,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,860.6637632,37671.96892,59537200,6,0,3451,3451,167,37575,41.24700165,44.82777786,3.580776215,41.3625465,0.573558781,6907.545265 +3451,MN,404,16,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,522 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,522 E 11TH LLC,3555,13476,0,13476,0,0,0,0,0,0,2,1,6,23,23,37.5,94.75,38,80, ,3,N,5,2,405000,1494900,0,0,1900,0,0, , ,3.79,4,0,4,1,1004040016,0,34,989580,204425,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,267.9276899,3591.093282,1089900,12,0,3452,3452,14,3150,12.53199959,14.52444458,1.992444992,12.67431709,0.513133042,177.4404392 +3452,MN,716,7501,104,89,3001,2,3,10011,E003,10,15,5600,1,4, ,444 WEST 19 STREET,R8A, , , , , , , , , ,N,R4,3,0, , ,9200,50357,2601,47756,0,0,2601,0,0,0,2,1,12,42,42,100,92,0,0, ,0,N,0,5,457653,8553153,0,1616101,1900,0,0, , ,5.47,6,0,6,1,1007167501,1477,89,982847,210562,8b, ,103 041,10302, ,1007160057,12/16/2005,1, , ,17V1.1,7,391.8491504,9583.926773,8095500,7,1,3453,3453,42,9450,9.675999641,11.13511086,1.459111214,9.781539327,0.329203473,410.8246517 +3453,MN,298,20,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,23 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,VJHC HOLDING CORP.,5640,24561,2900,21661,0,2900,0,0,0,0,2,4,5,12,15,59.75,110,20,65, ,0,Y,5,2,553500,2271150,0,0,1900,0,0, , ,4.35,6.02,6,6.5,1,1002980020,0,16,986754,199962,12d,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,351.9002023,5966.91256,1717650,13,0,3454,3454,28,6300,37.64699936,37.97566605,0.328666687,37.65873746,0.060992936,1054.444649 +3454,MN,463,11,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,4 ST MARKS PLACE,C6-1, , , , , , , , , ,N,K4,4,0,P,CRP 4 ST. MARKS PLACE,3120,10036,5720,4316,0,5720,0,0,0,0,2,1,3.5,3,5,26,120,26,109, ,3,N,5,1,472500,2125350,0,0,1900,0,0, ,HAMILTON-HOLLY HOUSE,3.22,3.44,6,6.5,1,1004630011,0,38,987122,204924,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,296.6807948,3219.209997,1652850,12,0,3455,3455,14,3150,34.15777969,38.25,4.092220306,34.53309686,1.073210828,483.463356 +3455,MN,746,64,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,340 WEST 23 STREET,C1-6A, , , , , , , , , ,N,O8,5,0, ,STRIBLING AND ASSOC L,2469,5603,2903,2700,2903,0,0,0,0,0,2,1,3,3,4,25,98.75,25,95,E,3,N,5,0,438750,787050,0,0,1900,0,0, , ,2.27,4,2,4,1,1007460064,0,93,984197,210960,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,256.8411655,2383.200543,348300,2,0,3456,3456,11,2475,15.97222233,18.94888878,2.976666451,16.24282837,0.855731438,178.6711121 +3456,MN,720,4,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,487 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,"COX ZUCKERMAN, RICHAR",1547,3000,0,3000,0,0,0,0,0,0,2,1,4,2,2,15.67,98.75,15.67,50, ,3,N,5,2,36976,106656,8450,8450,1910,0,0,Chelsea Historic District Extension, ,1.94,3,0,3,1,1007200004,0,93,983092,211457,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,221.3479064,1548.378514,69680,2,1,3457,3457,8,1800,9.369999886,9.369999886,0,9.369999886,0,74.95999908 +3457,MN,411,71,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,108 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,"COHEN, JOSEPH PHILIP",1760,3564,3564,0,0,1760,0,1804,0,0,2,1,3,0,1,22,80,22,41, ,0,N,5,5,172350,460800,0,0,1901,0,0, , ,2.03,4,4,4,1,1004110071,0,3001,987616,201632,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,211.2365634,1900.334429,288450,13,0,3458,3458,9,2025,30.50799942,30.50799942,0,30.50799942,0,274.5719948 +3458,MN,304,13,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,119 BOWERY,C6-1G, , , , , , , , , ,N,L8,6,0, ,119 BOWERY ASSSOCIATE,2583,7353,7353,0,0,1800,0,5553,0,0,2,1,5,0,6,25.08,103.17,25,101,E,3,Y,5,2,318600,1199700,0,0,1900,1989,0, , ,2.85,3.44,6,6.5,1,1003040013,0,16,985721,200853,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,263.8252362,2699.115901,881100,0,0,3459,3459,12,2700,34.17111206,36.10889053,1.937778473,34.3325936,0.535573677,411.9911232 +3459,MN,398,66,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,24 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C6,2,0, ,148-150 E 2 ST LLC,3450,15308,1800,13508,0,1800,0,0,0,0,2,1,6,20,25,57.5,60,58,60, ,2,N,3,2,233100,1743750,0,0,1900,1985,2011, , ,4.44,4,0,4,1,1003980066,0,3002,988285,202700,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.0174368,3844.495168,1510650,1,0,3460,3460,17,3825,19.43000031,19.43000031,0,19.43000031,0,330.3100052 +3460,MN,406,7502,103,34,1001,1,2,10009,L011,9,14,6200,4,3, ,525 EAST 12 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,2272,8265,1499,6766,1499,0,0,0,0,0,2,1,6,5,6,22,103.25,22,100, ,1,N,0,5,14684,1335994,0,1269136,2007,0,0, , ,3.64,4,0,4,1,1004067502,1915,34,989792,204791,12c, ,102 029,10203, ,1004060052,2/27/2009,1, , ,17V1.1,7,256.6364934,2339.008675,1321310,12,1,3461,3461,11,2475,13.0880003,13.39755535,0.309555054,13.13070731,0.096026825,144.4377804 +3461,MN,284,17,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,187 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,WC & J INC.,1956,5696,2174,3522,1000,1174,0,0,0,0,2,1,4,3,5,26.08,75,26,43, ,3,N,5,5,65591,397922,0,0,1900,1987,2009, , ,2.91,3.44,0,6.5,1,1002840017,0,6,987322,199390,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,217.1067708,2201.745587,332331,13,0,3462,3462,8,1800,20.93000031,25.4533329,4.523332596,22.0108335,1.874726961,176.086668 +3462,MN,590,59,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,25 BARROW STREET,C2-6,R6, , , , , , , , ,Y,S2,4,0, ,"NANCE, ERICA",2046,3016,958,2058,958,0,0,0,0,0,2,1,3,2,3,25,81.83,22,25,E,3,N,5,5,60824,151923,0,0,1899,0,0,Greenwich Village Historic District, ,1.47,3.44,2,6.5,1,1005900059,0,67,983438,206101,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,219.97639,2119.378514,91099,9,0,3463,3463,10,2250,19.74111176,24.23333359,4.492221832,20.4385561,1.465509978,204.385561 +3463,MN,921,48,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,330 EAST 15 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,15TH ASSOCIATES LLC,2665,11964,0,11964,0,0,0,0,0,0,2,1,6,24,24,25.67,103.25,26,88, ,3,N,5,2,157500,1424250,0,0,1910,1986,2008, , ,4.49,6,0,6,1,1009210048,0,48,988861,206084,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,265.2168254,2833.235387,1266750,5,0,3464,3464,13,2925,21.21777725,22.87000084,1.652223587,21.34487137,0.440266954,277.4833279 +3464,MN,353,57,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,131 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,"122 NORFOLK STREET, L",5025,25650,4525,21125,0,4525,0,0,0,0,2,1,6,30,33,50,100.5,48,99, ,2,N,3,2,616500,2973600,0,0,1920,1989,0, , ,5.1,4,0,4,1,1003530057,0,1402,987940,201355,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,311.8580943,5451.863083,2357100,13,0,3465,3465,24,5400,26.83777809,29.56444359,2.726665497,27.05023177,0.706483917,649.2055626 +3465,MN,220,31,101,33,3003,2,1,10013,L008,1,15,7700,1,1,3B,174 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,"HUDSON ALLEY, INC.",8625,51750,51750,0,43250,8500,0,0,0,0,2,1,6,0,1,75,115.25,75,115, ,2,Y,3,2,801000,7963200,0,0,1915,1984,0,Tribeca North Historic District, ,6,6.02,6,6.5,1,1002200031,0,33,982089,202468,12a, ,101N042,10105,E-257,0, ,1, , ,17V1.1,0,384.4585097,8868.342744,7162200,0,1,3466,3466,39,8775,11.22399998,12.48444462,1.260444641,11.32018801,0.293318616,441.4873323 +3466,MN,440,23,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,430 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,HARRIS BERNICE,2504,6364,0,6364,0,0,0,0,0,0,2,2,4,23,23,24.25,103.25,24,28, ,3,N,5,2,154350,519750,0,0,1905,1987,0, , ,2.54,4,0,4,1,1004400023,0,34,989234,205221,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,263.4938745,2632.366671,365400,12,0,3467,3467,11,2475,16.59444427,16.59444427,0,16.59444427,0,182.538887 +3467,MN,470,27,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,218 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,WING & FEE AND FAMILY,3105,19782,2260,17522,0,2260,0,0,0,0,2,1,7,28,31,64.42,50.58,64.17,45.58, ,2,N,3,2,224100,1624950,0,0,1900,0,0, , ,6.37,6.02,6,6.5,1,1004700027,0,41,985410,201224,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,239.8174429,3548.681757,1400850,0,0,3468,3468,16,3600,28.80888939,28.80888939,0,28.80888939,0,460.9422302 +3468,MN,288,48,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,311 EAST BROADWAY,R7-2, , , , , , , , , ,N,M9,8,0, ,AGUDATH TAHARATH,1975,8030,8030,0,0,0,0,0,0,8030,2,1,5,0,1,25.25,79.25,25,74, ,3,Y,5,2,161100,481500,4025,138348,1904,0,0, , ,4.07,3.44,0,6.5,1,1002880048,0,202,989106,199582,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,212.6361074,2091.013558,320400,13,0,3469,3469,9,2025,29.70800018,33.60333252,3.895332336,30.62935808,1.520385371,275.6642227 +3469,MN,629,44,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,305 WEST 13 STREET,C1-6,C6-2A, , , , , , , , ,Y,D1,3,0, ,SUPREME COMPANY I,14517,56508,0,56508,0,0,0,0,0,0,2,1,6,77,77,125,129,125,87, ,0,Y,5,5,2385000,7639650,0,0,1964,0,0, , ,3.89,3.44,2,6.5,1,1006290044,0,77,983270,208716,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,490.8709676,14858.62905,5254650,8,0,3470,3470,67,15075,16.45777702,20.90222168,4.444444656,16.80995625,0.949170162,1126.267069 +3470,MN,849,60,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,22 EAST 21 STREET,M1-5M, , , , , , , , , ,N,O6,5,0,P,HUT MANSION CORP,2300,16175,16175,0,14175,2000,0,0,0,0,2,1,8,0,13,25,92,25,87,E,3,N,5,2,207000,1709550,0,0,1910,1986,0,Ladies' Mile Historic District, ,7.03,0,5,6.5,1,1008490060,0,52,987263,208676,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,244.9728705,2432.79575,1502550,7,0,3471,3471,12,2700,34.69888687,39.06999969,4.371112823,35.13744291,1.210837489,421.6493149 +3471,MN,802,7503,105,95,1003,2,3,10001,E001,13,15,5200,1,5, ,107 WEST 26 STREET,C6-4X, , , , , , , , , ,N,RM,4,0, , ,2469,12143,3715,8428,0,3715,0,0,0,0,2,1,5,4,5,25,98.75,25,98,E,3,N,5,5,100266,709511,0,0,1920,0,0, , ,4.92,10,10,10,1,1008027503,2033,95,986523,210775,8d, ,105S012,10305, ,1008020033,7/28/2009,1, , ,17V1.1,7,248.6226261,2318.106184,609245,2,0,3472,3472,11,2475,38.38621902,40.34000015,1.953781128,40.15157561,0.559289595,441.6673317 +3472,MN,531,3,102,55.02,2000,2,1,10012,L009,9,15,5700,1,2,2A,686 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,BROADWAY & MERMAID AS,5330,15660,15660,0,0,10660,0,5000,0,0,2,1,2,0,1,41.17,130,41.16,130, ,2,N,5,2,774000,3215700,0,0,1951,1982,0,NoHo Historic District, ,2.94,0,5,6.5,1,1005310003,0,5502,985845,204474,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,363.6573576,6157.205251,2441700,9,0,3473,3473,27,6075,40.07500076,42.71111298,2.636112213,40.30837518,0.679766789,1088.32613 +3473,MN,597,32,102,37,1013,2,3,10013,E024,1,15,6800,1,2,1B,305 SPRING STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0,P,D AND D REALTY COMPAN,2516,10190,1258,8932,0,1258,0,0,0,0,2,2,5,16,17,25.17,100,25,78, ,3,N,5,2,103050,887400,0,0,1920,2014,0, , ,4.05,0,10,10,1,1005970032,0,37,981934,203829,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,255.0834177,2488.934392,784350,0,1,3474,3474,11,2475,13.17199993,16.03733444,2.865334511,13.43248489,0.823725756,147.7573338 +3474,MN,912,40,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,248 EAST 32 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,248 EAST 32ND STREET,2469,5750,0,5750,0,0,0,0,0,0,2,1,4,9,9,25,98.75,25,50, ,3,N,5,2,159525,615630,0,0,1910,1988,0, , ,2.33,3,0,3,1,1009120040,0,70,990494,210164,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,253.7590809,2590.022335,456105,10,0,3475,3475,10,2250,26.45000076,28.3433342,1.893333435,26.81566734,0.73137579,268.1566734 +3475,MN,277,4,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,81 MADISON STREET,R7-2, , , , , , , , , ,N,C4,2,0,X,MADISON STREET HOUSIN,2515,9446,0,9445,0,0,0,0,0,0,2,1,5,20,20,25,100.58,25,86, ,3,N,5,2,168750,459000,168750,459000,1900,0,0, , ,3.76,3.44,0,6.5,1,1002770004,0,8,985298,198812,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,257.245174,2672.523498,290250,16,0,3476,3476,11,2475,21.55400085,21.55400085,0,21.55400085,0,237.0940094 +3476,MN,923,51,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,324 EAST 18 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,ESTHER BLASOF,1932,3864,0,2898,0,0,0,0,0,0,2,1,3,3,3,21,92,21,46, ,3,N,5,1,62795,132710,2070,2070,1901,0,0, , ,2,3,0,3,1,1009230051,0,48,989212,206758,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,228.6140051,1956.804216,69915,5,0,3477,3477,9,2025,16.06999969,17.85333252,1.783332825,16.60716036,0.714366177,149.4644432 +3477,MN,905,49,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,218 EAST 25 STREET,R8B, , , , , , , , , ,N,L9,6,0, ,CLARA AICH,2008,4447,4447,0,1025,0,0,0,0,3422,2,1,2,0,1,20.33,98.75,20.33,40,E,3,N,5,2,79650,381600,0,0,1915,0,0, , ,2.21,4,0,4,1,1009050049,0,66,989413,208701,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,242.4211975,2146.639652,301950,11,0,3478,3478,10,2250,26.78800011,28.44400024,1.656000137,26.95360012,0.496800041,269.5360012 +3478,MN,88,10,101,21,1011,2,1,10007,L010,1,15,7700,1,1, ,30 VESEY STREET,C5-3, , , , , ,LM, , , ,N,O6,5,0,P,GREYSTONE PROPERTIESV,3949,71959,71959,0,68163,3796,0,0,0,0,2,1,18,0,26,52.48,75,52,75, ,3,Y,3,2,783000,5840550,0,0,1912,0,0, , ,18.22,10,15,15,1,1000880010,0,21,981527,198733,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,263.3301085,4156.162614,5057550,3,0,3479,3479,17,3825,26.98888969,27.47999954,0.491109848,27.44777736,0.115491148,466.612215 +3479,MN,584,18,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,79 BARROW STREET,R6, , , , , , , , , ,N,D4,3,0, ,79 BARROW ST OWNERS C,2502,13484,0,13484,0,0,0,0,0,0,2,1,6,19,19,25,100,25,100,E,3,N,5,2,220500,1301850,22921,22921,1920,1986,0,Greenwich Village Historic District, ,5.39,2.43,0,4.8,1,1005840018,0,67,982609,205737,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,251.3757709,2554.763173,1081350,9,0,3480,3480,12,2700,16.16111183,19.53777695,3.376665115,16.71750053,1.244221366,200.6100063 +3480,MN,412,61,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,3B,223 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,HOUSTON ESSEX RE CORP,3750,8233,8233,0,0,8233,0,0,0,0,2,1,2,0,1,50,100,50,100, ,0,Y,3,5,315000,1079100,0,0,1920,1969,0, , ,2.2,6.02,6,6.5,1,1004120061,0,3001,987944,202349,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,312.8565677,4078.069546,764100,1,0,3481,3481,19,4275,29.78444481,30.23399925,0.449554443,30.21033849,0.100384104,573.9964314 +3481,MN,198,126,101,29,1001,2,1,10013,L001,5,15,7700,1,1,3B,125 WALKER STREET,C6-4, , , , , , , , , ,N,D7,4,0,C,DCAS,8900,99270,42502,56768,28867,13635,0,0,0,0,2,1,13,88,104,191.58,72.13,0,0, ,1,Y,4,2,873000,8271900,873000,8271900,1991,0,0, , ,11.15,10,10,10,1,1001980126,0,29,984269,200616,12c, ,101S031,10105, ,1001980001,12/30/2002,1, , ,17V1.1,0,529.1109888,13298.26194,7398900,14,0,3482,3482,58,13050,14.42000008,20.28222275,5.862222672,14.97547487,1.34894439,868.5775423 +3482,MN,469,42,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,243 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,THIRTEEN LIMITED PART,3098,13878,2000,11878,0,2000,0,0,0,0,2,1,6,18,20,30,103.25,30,91, ,3,N,5,1,278550,1579500,0,0,1920,1987,0, , ,4.48,4,2,4,1,1004690042,0,40,988135,206015,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,270.1700085,3156.977156,1300950,12,0,3483,3483,14,3150,29.06444359,30.17555428,1.111110687,29.15055479,0.285316251,408.1077671 +3483,MN,928,24,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,377 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,GRAMERCY FIRST AVENUE,1839,6183,1500,4683,0,1500,0,0,0,0,2,1,5,8,10,24.67,74.5,25,54,E,3,N,3,2,96980,569614,0,0,1910,0,0, , ,3.36,4,2,4,1,1009280024,0,64,990007,207580,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,207.3154235,2027.116696,472634,11,0,3484,3484,9,2025,14.11333275,14.27999973,0.166666985,14.21870391,0.041011893,127.9683352 +3484,MN,519,56,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,21 CHARLTON STREET,R6, , , , , , , , , ,N,C6,2,0, ,TWENTY ONE CHARLTON S,2333,3081,0,3081,0,0,0,0,0,0,2,1,3,3,3,23.33,100,23,40, ,3,N,5,1,92478,415260,0,0,1900,2008,0,Charlton-King-Vandam Historic District, ,1.32,2.43,0,4.8,1,1005190056,0,37,983097,204233,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,248.7126067,2362.373692,322782,0,0,3485,3485,12,2700,16.83888817,21.88999939,5.051111221,18.13592561,1.953620429,217.6311073 +3485,MN,239,26,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,110 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,"SANG KUNG REALTY,",2494,6500,3400,3100,0,1850,0,1550,0,0,2,1,4,2,4,24.83,101.17,25,86,E,3,N,5,1,270000,517950,0,0,1920,0,0, , ,2.61,3.44,6,6.5,1,1002390026,0,41,985546,200903,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,258.8129567,2587.952288,247950,0,0,3486,3486,11,2475,31.48699951,36.42333221,4.936332703,31.93575703,1.419095875,351.2933273 +3486,MN,595,7502,101,39,1003,2,1,10013,L008,1,15,7700,3,1, ,130 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,4000,23090,0,23090,0,0,0,0,0,0,2,2,7,12,12,50,80,50,80, ,0,Y,0,5,697499,2963250,0,0,1920,0,0, , ,5.77,6.02,6,6.5,1,1005957502,1103,39,981573,203147,12a, ,11N 063,10208, ,1005950046,8/17/2000,1,1,1,17V1.1,7,276.3649651,4570.263147,2265750,0,1,3487,3487,19,4275,7.909999847,7.909999847,0,7.909999847,0,150.2899971 +3487,MN,612,68,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,9 CHARLES STREET,R6,C2-6, , , , , , , , ,Y,C1,2,0,P,9 CHARLES HOLDINGS LL,2090,4884,0,4884,0,0,0,0,0,0,2,1,4,10,10,22,95,22,53,E,3,N,5,1,62758,376109,0,0,1910,0,0,Greenwich Village Historic District, ,2.34,2.43,0,4.8,1,1006120068,0,71,983961,207206,12c,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,238.3951951,2109.720416,313351,8,0,3488,3488,10,2250,21.78555489,22.83555603,1.050001144,21.94433289,0.327071353,219.4433289 +3488,MN,849,68,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,913 BROADWAY,M1-5M, , , , , , , , , ,N,K2,5,0, ,"SCHER, HAROLD",2486,4674,4674,0,0,4674,0,0,0,0,2,1,2,0,1,24.08,111,24,109, ,3,Y,5,2,450000,1052550,0,0,1910,1981,0,Ladies' Mile Historic District, ,1.88,0,5,6.5,1,1008490068,0,52,987034,208759,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,268.1614183,2541.549434,602550,7,0,3489,3489,12,2700,40.92599869,41.82333374,0.897335052,41.0725174,0.327710242,492.8702087 +3489,MN,404,10,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,512 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,512 E 11TH ST HOUSING,1875,6175,0,6175,0,0,0,0,0,0,2,1,5,20,20,25,75,25,50, ,3,N,5,2,144900,379800,144900,191191,1929,1988,0, , ,3.29,4,0,4,1,1004040010,0,34,989460,204502,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,207.8590722,2010.541792,234900,12,0,3490,3490,10,2250,12.53199959,16.66555595,4.133556366,13.79097767,1.584081328,137.9097767 +3490,MN,874,14,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,121 EAST 18 STREET,R8B, , , , , , , , , ,N,O2,5,0, ,ARP REAL ESTATE CORP,2000,6006,6006,0,6006,0,0,0,0,0,2,1,4,0,3,21,92,21,60,E,3,N,5,2,396000,947250,0,0,1920,1988,0, , ,3,4,0,4,1,1008740014,0,50,987763,207731,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,230.882597,1940.350252,551250,5,0,3491,3491,8,1800,33.91699982,34.36800003,0.451000214,33.97337484,0.149154301,271.7869987 +3491,MN,307,26,103,16,2000,2,1,10002,L006,5,14,7400,1,3,2B,55 ALLEN STREET,C6-1G, , , , , , , , , ,N,E1,6,0, ,57 ALLEN STREET REALT,2190,1875,1875,0,0,0,0,1875,0,0,2,1,3,0,3,25,87.58,25,28, ,1,N,5,0,88200,258300,0,0,1915,0,0, , ,0.86,3.44,6,6.5,1,1003070026,0,16,986481,200495,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,229.7868012,2203.085446,170100,13,0,3492,3492,11,2475,39.60333252,41.01777649,1.41444397,39.73191834,0.406624052,437.0511017 +3492,MN,389,19,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,202 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"202 EAST 7 REALTY,",2272,8988,600,8388,0,600,0,0,0,0,2,1,6,18,19,25,90.83,25,78, ,3,N,5,2,225000,947700,0,0,1910,0,0, , ,3.96,4,0,4,1,1003890019,0,2602,989714,203213,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,231.3471147,2244.203873,722700,12,1,3493,3493,11,2475,7.700000286,9.023111343,1.323111057,7.820283109,0.380367685,86.0231142 +3493,MN,144,18,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,40 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,40 HUDSON STREET OWNE,1730,9947,1600,8347,0,1600,0,0,0,0,2,1,6,5,6,25.25,76.5,25,76, ,3,Y,5,2,279719,886033,4720,4720,1910,1999,2005,Tribeca West Historic District, ,5.75,6.02,6,6.5,1,1001440018,0,33,981807,200544,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,196.6175683,1829.059513,606314,14,0,3494,3494,8,1800,11.09777832,11.09777832,0,11.09777832,0,88.78222656 +3494,MN,574,65,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,41 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0, ,41-10 VILLAGE HSG COR,2321,6540,0,6540,0,0,0,0,0,0,2,1,4,5,5,24.5,94.75,25,80,E,3,N,5,1,211037,579348,0,0,1900,1989,0,Greenwich Village Historic District, ,2.82,2.43,0,4.8,1,1005740065,0,63,984990,206856,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,243.9368029,2303.783446,368311,8,0,3495,3495,10,2250,20.66300011,24.20111084,3.538110733,21.08306675,1.057953107,210.8306675 +3495,MN,795,54,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,120 WEST 20 STREET,C6-3A, , , , , , , , , ,N,D0,3,0, ,120 W 20 ST APT CORP,2300,11910,1400,10510,0,1400,0,0,0,0,2,1,7,6,7,25,92,25,90, ,3,N,5,2,117665,858463,4720,4720,1950,1987,0, , ,5.18,7.52,6,7.5,1,1007950054,0,87,985554,209341,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,238.6685134,2306.084151,740798,7,0,3496,3496,10,2250,27.66555595,31.73999977,4.074443817,28.12611141,1.214992089,281.2611141 +3496,MN,478,13,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,166 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,ELIZABETH REALTY ASSO,2456,11295,750,10545,0,750,0,0,0,0,2,1,6,22,24,25,98.25,25,85, ,3,N,5,2,126000,1416600,0,0,1908,0,0, , ,4.6,3.44,6,6.5,1,1004780013,0,41,985737,201869,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,249.2831113,2493.257619,1290600,0,0,3497,3497,11,2475,38.05444717,38.05444717,0,38.05444717,0,418.5989189 +3497,MN,406,19,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,526 EAST 13 STREET,R8B, , , , , , , , , ,N,E9,6,0, ,"MLW PARTNERS, LLC.",2581,1875,1875,0,0,0,0,0,0,1875,2,1,1,0,1,25,103.25,25,82, ,3,N,5,2,92700,207450,0,0,1914,1977,0, , ,0.73,4,0,4,1,1004060019,0,34,989864,204873,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,263.7624564,2661.650216,114750,12,1,3498,3498,11,2475,11.35888863,13.96666718,2.607778549,12.02167667,1.084351078,132.2384434 +3498,MN,863,63,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,177 MADISON AVENUE,C5-2, , , , , , , , , ,N,C7,4,0,P,FIRST 177 MADISON LLC,2469,8405,3000,5405,0,3000,0,0,0,0,2,1,5,8,9,24.67,100,25,94,E,2,N,5,2,130353,792571,0,0,1920,0,0, , ,3.4,10,10,10,1,1008630063,0,74,988980,211546,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,255.0276181,2624.987095,662218,10,0,3499,3499,12,2700,49.51499939,50.0988884,0.583889008,49.56365681,0.161378396,594.7638817 +3499,MN,499,37,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,109 SPRING STREET,M1-5A, , , , , , , , , ,N,D7,4,0, ,109 SPRING STREET ASS,5625,25250,5000,20250,0,5000,0,0,0,0,2,1,5,9,12,50,100,50,100, ,3,Y,5,2,954000,8089200,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,4.49,0,5,6.5,1,1004990037,0,49,984342,202940,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,364.5967415,6040.088552,7135200,0,0,3500,3500,26,5850,22.35555458,22.35555458,0,22.35555458,0,581.2444191 +3500,MN,310,7503,103,16,4000,2,1,10002,E015,7,14,7400,2,3, ,55 HESTER STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,3735,21794,3564,18230,1122,2442,0,0,0,0,2,1,12,27,29,46,88,46,88, ,3,Y,0,5,172348,3820948,0,1394190,1940,2008,2008, , ,5.84,6.02,6,6.5,1,1003107503,2116,16,986995,200076,12c, ,101N051,10107, ,1003100037,12/1/2009,1, , ,17V1.1,7,276.118291,3923.843892,3648600,13,0,3501,3501,18,4050,34.01111221,34.98799896,0.976886749,34.93372748,0.22376707,628.8070946 +3501,MN,284,22,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,177 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,M9,8,0,X,LING LIANG WORLDWIDE,2608,12470,12470,0,0,0,0,0,0,12470,2,1,5,0,1,26.08,100,26.08,60,E,0,N,5,5,219150,690300,219150,690300,1920,2008,0, , ,4.78,3.44,0,6.5,1,1002840022,0,6,987192,199362,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,260.2380661,2714.795467,471150,13,0,3502,3502,14,3150,20.93000031,27.50222206,6.572221756,21.85738114,2.27181388,306.003336 +3502,MN,450,40,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,69 ST MARKS PLACE,R8B, , , , , , , , , ,N,C0,2,0, ,69 ST. MARKS PLACE LL,2348,10800,0,8452,0,0,0,0,0,0,2,1,4,3,3,25,93.92,25,93.92, ,2,N,5,1,65172,141387,0,0,1900,0,0, , ,4.6,4,0,4,1,1004500040,0,38,988151,204544,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,227.6489331,2228.279467,76215,12,0,3503,3503,11,2475,25.4810009,27.59000015,2.108999252,25.67272811,0.606294656,282.4000092 +3503,MN,850,23,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,29 EAST 21 STREET,M1-5M, , , , , , , , , ,N,L8,6,0, ,29 E 21ST ST CORP,2469,10795,10795,0,2000,0,0,8795,0,0,2,1,5,0,13,25,98.75,25,90, ,3,N,5,2,173250,1025550,0,0,1925,1988,0,Ladies' Mile Historic District, ,4.37,0,5,6.5,1,1008500023,0,56,987423,208758,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,257.7132078,2599.044151,852300,5,0,3504,3504,12,2700,35.59999847,35.59999847,0,35.59999847,0,427.1999817 +3504,MN,610,69,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,19 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,"DAVIT REALTY,",3600,14780,1800,12980,0,1800,0,0,0,0,2,2,6,22,25,40,90,40,76, ,3,N,5,2,427950,2366550,0,0,1900,0,0,Greenwich Village Historic District, ,4.11,2.43,0,4.8,1,1006100069,0,71,984040,206731,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,266.5333821,3698.948085,1938600,8,0,3505,3505,17,3825,18.18777847,19.60222244,1.41444397,18.37006591,0.411982979,312.2911205 +3505,MN,844,19,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,33 UNION SQUARE,C6-4,C6-2A, , , , ,US, , , ,Y,D6,4,0,P,DECKER ASSOCIATES LLC,4509,51150,9300,41850,4650,4650,0,0,0,0,2,1,11,20,22,30.5,150,30,136, ,3,N,5,2,1125000,8806500,0,0,1900,1960,1996, ,THE UNION BUILDING,11.34,10,10,10,1,1008440019,0,52,986753,207734,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,394.4025865,5375.052153,7681500,7,0,3506,3506,24,5400,41.19499969,44.08444595,2.889446259,41.33655071,0.581874048,992.0772171 +3506,MN,418,54,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,280 GRAND STREET,C4-4A, , , , , , , , , ,N,K4,4,0,P,280 GRAND ST ASSOCS,2191,4471,4471,0,0,2279,0,2192,0,0,2,1,3,0,2,25,87.67,25,84,E,3,N,5,2,202500,974250,0,0,1920,2005,0, , ,2.04,4,4,4,1,1004180054,0,18,986330,200853,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,230.262052,2335.718485,771750,13,0,3507,3507,10,2250,37.89666748,37.89666748,0,37.89666748,0,378.9666748 +3507,MN,743,24,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,329 WEST 19 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,329 W 19 ST APT CORP,1985,5312,0,5312,0,0,0,0,0,0,2,1,3,5,5,21.58,92,22,42,E,3,N,5,1,113546,481971,4720,4720,1920,1977,0, , ,2.68,3,0,3,1,1007430024,0,89,983890,210155,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,230.86748,2060.368173,368425,7,0,3508,3508,9,2025,15.57888889,19.20999908,3.631110191,16.4170369,1.273324264,147.7533321 +3508,MN,589,17,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,20 CORNELIA STREET,R6, , , , , , , , , ,N,C7,4,0, ,20 PIERRE ASSOCIATES,3819,15645,2520,13125,0,2520,0,0,0,0,2,2,5,31,36,55.5,87.5,30,48, ,3,Y,5,2,598500,3286800,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.1,2.43,0,4.8,1,1005890017,0,67,983699,205711,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,268.2737269,4092.568533,2688300,9,0,3509,3509,19,4275,20.08666611,20.90999985,0.82333374,20.65384182,0.165099678,392.4229946 +3509,MN,523,48,102,55.01,1004,2,1,10012,L009,6,15,5700,1,2,2A,18 WEST HOUSTON STREET,C6-2, , , , , , , , , ,N,O6,5,0, ,CABLE BUILDING OWNERS,25616,204920,204920,0,150373,37499,0,0,0,17048,2,1,9,0,12,200,128.67,125,190, ,2,Y,3,1,5760000,32542650,0,0,1900,0,0,NoHo Historic District, ,8,6.02,6,6.5,1,1005230048,0,5501,985085,203738,12c, ,103 009,10206, ,0, ,1, , ,17V1.1,0,695.5736473,28745.51332,26782700,9,0,3510,3510,129,29025,35.67444611,41.9366684,6.26222229,35.80834612,0.777227953,4619.276649 +3510,MN,444,18,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,58 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,50-58 EAST THIRD FEE,3146,13620,0,13620,0,0,0,0,0,0,2,1,6,24,24,31,101.5,31,85, ,3,Y,5,2,70650,1511100,0,0,1920,1966,0,East Village/Lower East Side Historic Di, ,4.33,4,0,4,1,1004440018,0,3602,987229,203442,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,266.6460792,3051.042487,1440450,1,0,3511,3511,15,3375,33.39555359,35.83555603,2.440002441,33.73251699,0.716629966,505.9877548 +3511,MN,641,49,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,74 JANE STREET,R6, , , , , , , , , ,N,A5,1,0,P,"PENNEY, CYNTHIA T",1106,2601,0,2601,0,0,0,0,0,0,2,1,3,1,1,13.83,80,14,60, ,3,N,5,2,57000,252422,0,0,1900,1986,2009,Greenwich Village Historic District, ,2.35,2.43,0,4.8,1,1006410049,0,79,982315,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,191.4811027,1081.500078,195422,8,0,3512,3512,5,1125,12.27999973,12.92111111,0.641111374,12.40822201,0.25644455,62.04111004 +3512,MN,638,1,102,75,2001,2,3,10014,L005,6,15,6400,1,2,2K,427 WEST STREET,C1-7,C1-6A, , , , , , , , ,Y,D4,3,0, ,RIVERBANK SOUTH OWNER,14205,69755,0,69755,0,0,0,0,0,0,2,1,4,38,38,76,180.83,181,93, ,3,Y,3,0,900000,6955200,131996,131996,1930,1982,0, , ,4.91,6.02,2,6.5,1,1006380001,0,75,981623,207255,12a, ,103 013,10210, ,0, ,1,1,1,17V1.1,0,540.8902861,14277.32924,6055200,9,1,3513,3513,62,13950,9.109000206,9.676667213,0.567667007,9.118156125,0.071510017,565.3256798 +3513,MN,915,55,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,212 EAST 35 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,MANHATTAN REALTY MH L,1646,3864,0,3864,0,0,0,0,0,0,2,1,4,3,3,16.67,98.75,17,70, ,3,N,5,2,71020,172210,0,0,1910,1986,2010, , ,2.35,4,0,4,1,1009150055,0,78,990591,211039,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,235.7932455,1691.296578,101190,10,0,3514,3514,7,1575,24.94111061,29.26366615,4.322555542,27.17472976,1.182064503,190.2231083 +3514,MN,377,7,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,122 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,122 ASSETS LLC,1260,3290,800,2490,0,800,0,0,0,0,2,1,4,3,4,18,70,18,43, ,3,N,5,5,22879,155888,0,0,1910,0,0, , ,2.61,4,0,4,1,1003770007,0,2602,990269,203215,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,186.5691673,1429.171377,133009,12,1,3515,3515,6,1350,7.409999847,8.564444542,1.154444695,7.602407297,0.430236136,45.61444378 +3515,MN,206,7501,102,41,5004,2,1,10013,L006,5,15,6800,1,2, ,123 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, ,BAXTER CONDO SALES LL,10050,54678,16022,38656,0,4531,11491,0,0,0,2,1,7,23,27,125.33,75,105,58, ,0,Y,3,5,679501,7766548,18880,18880,2003,0,0, , ,5.44,6.02,6,6.5,1,1002067501,1791,41,984615,200918,12c, ,101N048,10105, ,1002060006,11/29/2007,1, , ,17V1.1,7,466.6967119,10784.73774,7087050,0,0,3516,3516,49,11025,21.98777771,25.95999908,3.972221375,25.32795852,1.278350484,1241.069967 +3516,MN,221,35,101,33,3002,2,1,10013,L008,1,15,7700,1,1,3B,12 VESTRY STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,REMAINDERMAN 12 VESTR,6448,45136,45136,0,45136,0,0,0,0,0,2,1,7,0,7,75,103,75,101, ,3,Y,5,1,362700,4315950,0,0,1882,0,0,Tribeca North Historic District, ,7,0,10,10,1,1002210035,0,33,982233,202596,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,336.209053,7009.40894,3953250,0,1,3517,3517,32,7200,9.686666489,9.686666489,0,9.686666489,0,309.9733276 +3517,MN,606,7,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2B,24 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S3,4,0, ,24 GREENWICH AVE. PAR,2097,5055,1572,3483,0,1572,0,0,0,0,2,1,4,3,4,23.08,93.67,23,90,E,3,Y,5,5,200464,458545,0,0,1900,0,0,Greenwich Village Historic District, ,2.41,3.44,2,6.5,1,1006060007,0,71,984297,207044,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,223.9578576,1957.57052,258081,8,0,3518,3518,9,2025,19.72333336,21.49110985,1.767776489,19.91975297,0.555558553,179.2777767 +3518,MN,227,6,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,391 CANAL STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,UND LLC,1618,2208,2208,0,0,2208,0,0,0,0,2,1,1,0,1,21.5,77.33,21,48, ,2,Y,5,0,118800,540450,0,0,1920,0,0, , ,1.36,0,5,6.5,1,1002270006,0,47,982904,202262,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,199.7805791,1687.856167,421650,0,1,3519,3519,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +3519,MN,69,32,101,15.02,2006,2,1,10038,E004,1,15,7700,1,1, ,116 JOHN STREET,C5-5, , , , , ,LM, , , ,N,D7,4,0, ,116 FEE OWNER LLC,11550,338463,7905,330558,0,7905,0,0,0,0,2,1,35,416,418,123.17,107.5,123,118, ,2,Y,3,2,3514500,43125750,0,0,1931,2011,0, , ,29.3,10,15,15,1,1000690032,0,1502,982616,197026,12b, ,101S012,10102, ,0, ,1,1,1,17V1.1,0,439.5380811,11542.45533,39611200,4,1,3520,3520,54,12150,7.131111145,12.07499981,4.943888664,11.9649278,0.67020991,646.106101 +3520,MN,393,10,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,606 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,AHONA (H D F C ),2370,8099,0,8099,0,0,0,0,0,0,2,1,5,7,7,25,94.75,25,63, ,0,N,5,5,62904,278896,62904,206278,1900,1990,0, , ,3.42,4,0,4,1,1003930010,0,28,990045,204168,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,244.894311,2488.179444,215992,12,1,3521,3521,10,2250,7.409999847,10.72444439,3.314444542,8.318110943,1.391630435,83.18110943 +3521,MN,435,7,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,128 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"KUROWYCKY, WIESLAWA",1391,5765,1153,4612,0,1153,0,0,0,0,2,1,5,8,9,25.75,54,26,44, ,3,N,5,2,65884,218940,0,0,1900,1987,0, , ,4.14,4,0,4,1,1004350007,0,32,988344,204244,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,164.1982686,1455.559528,153056,12,0,3522,3522,6,1350,20.24200058,20.51711082,0.275110245,20.28785229,0.102527535,121.7271137 +3522,MN,620,18,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,102 CHARLES STREET,C1-6, , , , , , , , , ,N,S2,4,0,P,"FADE USA, INC.",2425,5153,2183,2970,0,2183,0,0,0,0,2,1,3,2,3,24.75,96.67,24.75,60, ,3,Y,5,5,78698,209018,0,0,1900,0,0,Greenwich Village Historic District, ,2.12,3.44,2,6.5,1,1006200018,0,73,982813,206835,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,247.7256786,2569.21064,130320,9,0,3523,3523,11,2475,25.12999916,26.70777893,1.57777977,25.32383797,0.451649626,278.5622177 +3523,MN,569,32,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,23 EAST 11 STREET,R7-2, , , , , , , , , ,N,A5,1,0, ,"VMDG, LLC",2678,6459,0,6459,0,0,0,0,0,0,2,1,5,1,1,25.92,103.25,26,70,E,3,N,5,2,66010,300360,0,0,1900,2008,2008,Greenwich Village Historic District, ,2.41,3.44,0,6.5,1,1005690032,0,61,985951,206614,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,264.8115733,2827.046167,234350,8,0,3524,3524,13,2925,34.37900162,34.37900162,0,34.37900162,0,446.927021 +3524,MN,16,3,101,317.04,4001,2,1,10004,E010,1,15,8900,1,1, ,401 SOUTH END AVENUE,BPC, , , , , ,BPC, , , ,N,Z9, ,0,O,NYC DOT,2499209,3000,3000,0,0,0,0,0,0,3000,2,9,27,194,195,2290.67,873.67,30,100, ,0,Y,5,5,118087650,141978150,118087650,141978150,1989,0,0, , ,0,0,0,0,1,1000160003,0,31704,980160,199454,12b,Y,101S090,10101, ,1000160003,7/22/2008,1,1,1,17V1.1,0,36315.58353,2052833.988,23890500,15,1,3525,3525,8731,1964475,0,29.09000015,29.09000015,12.17318875,2.573568695,106284.111 +3525,MN,277,46,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,24 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,D5,3,0, ,"24 HENRY ST GROUP, IN",2061,8637,2212,6425,0,2212,0,0,0,0,2,1,6,10,12,40.16,51.25,40.16,32,E,3,Y,5,2,234900,855450,0,0,1900,0,2011, , ,4.19,3.44,0,6.5,1,1002770046,0,8,985177,198928,12d, ,101S029,10107, ,1002770046,9/19/2013,1, , ,17V1.1,0,185.2147207,2102.364153,620550,16,0,3526,3526,9,2025,21.55400085,21.55400085,0,21.55400085,0,193.9860077 +3526,MN,372,41,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,310 EAST 2 STREET,R8A, , , ,C1-5, , , , , ,N,D7,4,0,P,ALPHABET PLAZA LLC,13646,131660,11000,120660,0,11000,0,0,0,0,2,1,12,135,136,118.24,118,0,0, ,1,N,3,2,1267200,15662250,205848,14600898,2013,0,0, , ,9.65,6,0,6,1,1003720041,0,2202,990111,201721,12c, ,102 014,10202,E-216,1003720041,2/8/2012,1, , ,17V1.1,0,484.1096255,14326.83202,14395100,1,1,3527,3527,65,14625,10.24333286,13.35000038,3.106667519,11.51507517,0.997646441,748.4798861 +3527,MN,880,7503,105,68,1003,2,2,10010,E016,13,14,5300,1,5, ,323 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,RM,4,0, , ,3320,28621,2880,25741,0,2880,0,0,0,0,2,1,10,14,15,40,83,40,77, ,3,N,3,5,438302,4169254,4720,4720,2013,0,0, , ,8.62,10,10,10,1,1008807503,2406,68,988264,209189,8d, ,104 005,10307, ,1008800001,9/9/2013,1, , ,17V1.1,7,256.6494088,3653.43229,3730950,11,0,3528,3528,17,3825,29.2211113,33.7788887,4.557777405,32.5493467,1.286886434,553.3388939 +3528,MN,641,46,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,80 JANE STREET,R6, , , , , , , , , ,N,B9,1,0, ,"BRODY, GEORGIA ADAMS",1140,2520,0,1890,0,0,0,0,0,0,2,1,3,2,2,14.25,80,14.25,50, ,3,N,5,1,29111,98535,2150,3400,1899,0,0,Greenwich Village Historic District, ,2.21,2.43,0,4.8,1,1006410046,0,79,982273,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,193.3423666,1158.438114,69424,8,0,3529,3529,2,450,12.27999973,12.55999947,0.279999733,12.4199996,0.139999866,24.8399992 +3529,MN,921,12,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,319 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C5,2,0, ,317 E 14 ST CP,2349,6053,1126,4927,0,1126,0,0,0,0,2,1,4,13,14,23.25,103.25,23,56,E,3,N,5,0,90000,958500,0,0,1910,0,0, , ,2.58,4,2,4,1,1009210012,0,48,988710,206046,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,260.1017304,2462.446915,868500,12,0,3530,3530,10,2250,22.90500069,26.04111099,3.136110306,23.84044495,1.282588781,238.4044495 +3530,MN,406,21,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,530 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"530 EAST 13, LLC",5163,27000,2500,24500,0,2500,0,0,0,0,2,1,6,38,40,50,103.25,50,91, ,2,N,5,2,315000,2490300,0,0,1900,0,0, , ,5.23,4,0,4,1,1004060021,0,34,989919,204843,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,313.9580523,5348.935528,2175300,12,1,3531,3531,24,5400,11.35888863,13.43422222,2.075333595,11.54702755,0.554770958,277.1286612 +3531,MN,193,12,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,44 WHITE STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,RUE BLANC CORP,2513,12500,12500,0,0,0,0,0,0,12500,2,1,5,5,6,24.92,100.83,25,97,E,3,Y,5,2,140400,1051200,0,0,1915,1989,0,Tribeca East Historic District, ,4.97,6.02,6,6.5,1,1001930012,0,33,983099,201144,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,258.7117168,2608.902588,910800,14,0,3532,3532,10,2250,13.68111134,13.68111134,0,13.68111134,0,136.8111134 +3532,MN,193,7501,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,395 BROADWAY,C6-2A, , , , , , , , , ,N,RM,4,0,P,WALK BROADWAY REALTY,7625,84191,10448,73743,0,10448,0,0,0,0,2,1,15,64,65,5.67,127.67,0,0, ,0,Y,5,5,1286977,13708788,67159,227075,1915,0,0,Tribeca East Historic District, ,11.04,6.02,6,6.5,1,1001937501,120,33,983423,201109,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,7,475.0969113,8356.562662,12421800,14,0,3533,3533,37,8325,13.68111134,20.60111046,6.919999123,14.16728247,1.565723831,524.1894512 +3533,MN,924,43,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,344 EAST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0,P,CHOY L BLACKOFF,1846,3840,0,3840,0,0,0,0,0,0,2,1,4,6,6,20.5,92,21,47, ,3,N,5,5,73631,314171,2360,2360,1920,1951,0, , ,2.08,3,0,3,1,1009240043,0,48,989455,206902,12c, ,102 048,10309, ,0, ,1, , 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,1001890014,2/12/1988,1, , ,17V1.1,7,301.6665809,5677.460514,6165900,14,1,3540,3540,27,6075,10.17444515,10.17444515,0,10.17444515,0,274.7100191 +3540,MN,926,34,106,64,4001,2,2,10010,E005,13,14,5900,1,6,1B,345 1 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0,P,20 STREET & 1ST AVE.,1200,3900,900,3000,0,900,0,0,0,0,2,1,4,3,4,20,60,20,60,E,2,N,3,5,134213,271700,0,0,1910,1986,0, , ,3.25,4,2,4,1,1009260034,0,64,989769,207136,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,166.8546724,1329.36863,137487,5,0,3541,3541,5,1125,13.36222172,13.36222172,0,13.36222172,0,66.81110859 +3541,MN,745,3,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,184 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,C7,4,0, ,ROZMAE REALTY CO. LLC,1480,4878,1000,3878,0,1000,0,0,0,0,2,1,4,8,9,24.67,60,25,60,E,3,N,5,2,111200,442809,0,0,1940,1980,0,Chelsea Historic District Extension, ,3.3,3,0,3,1,1007450003,0,89,983735,210817,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,178.3705699,1613.918723,331609,7,0,3542,3542,8,1800,15.97222233,16.60333252,0.631110191,16.0511111,0.208720077,128.4088888 +3542,MN,645,62,102,79,1008,2,3,10014,L005,6,15,6100,1,2,3B,39 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K2,5,0, ,835 WASHINGTON STREET,2581,7743,7743,0,0,7743,0,0,0,0,2,1,2,0,1,25,103.25,25,103.25, ,0,N,3,5,292500,3502350,0,0,1900,2004,2014,Gansevoort Market Historic District, ,3,0,5,6.5,1,1006450062,0,79,982128,209035,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,260.9943553,2829.548652,3209850,8,1,3543,3543,14,3150,11.54200077,11.63800049,0.095999718,11.62920679,0.025168574,162.8088951 +3543,MN,590,33,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,5 CORNELIA STREET,R6,R7-2, , ,C1-5, , , , , ,Y,C7,4,0, ,ROSAR REALTY CORP,1887,7855,350,7505,0,350,0,0,0,0,2,1,5,15,16,25,75.5,25,70, ,3,N,5,1,211050,1125000,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.16,2.43,0,4.8,1,1005900033,0,67,983830,205894,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,203.0089253,1938.08496,913950,9,0,3544,3544,8,1800,17.54000092,17.54000092,0,17.54000092,0,140.3200073 +3544,MN,793,33,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,595 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K4,4,0, ,"595 REALTY,LLC",2650,6702,6702,0,0,5580,0,0,0,1122,2,1,3,0,3,36.75,72,37,72,E,3,N,3,2,783000,3541050,0,0,1920,0,0, , ,2.53,6.02,6,6.5,1,1007930033,0,81,985458,208694,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,225.9999578,2886.007171,2758050,7,0,3545,3545,13,2925,27.66555595,29.46666718,1.801111221,27.80410297,0.479940945,361.4533386 +3545,MN,636,5,102,75,1007,2,3,10014,L005,6,15,6400,1,2,2B,392 WEST STREET,C1-6A, , , , , , , , , ,N,S1,4,0, ,L. 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,3,N,3,2,270000,2514150,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.06,0,5,6.5,1,1004990015,0,49,984454,203362,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,149.1184817,1153.23831,2244150,0,0,3548,3548,5,1125,22.35555458,26.84777832,4.49222374,23.25399933,1.796889496,116.2699966 +3548,MN,561,14,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,38 EAST 10 STREET,R7-2, , , , , , , , , ,N,D4,3,0, ,40-50 E 10 ST OWNERS,25369,160896,1535,159361,1535,0,0,0,0,0,2,1,10,111,114,275,92.25,275,76, ,3,N,5,2,1354500,17399700,548744,548744,1929,1980,0, , ,6.34,3.44,0,6.5,1,1005610014,0,59,986317,205947,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,735.8231662,25680.14367,16045200,8,0,3549,3549,113,25425,32.25444412,38.66222,6.407775879,32.7364029,1.412330935,3699.213528 +3549,MN,528,52,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,220 VARICK STREET,C2-6, , , , , , , , , ,N,K2,5,0, ,GENELLE REALTY CORP.,1237,1900,1900,0,700,1200,0,0,0,0,2,2,1.5,0,3,43.42,50.67,23,34, ,0,Y,5,5,157500,406800,0,0,1920,0,0, , 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,17V1.1,0,372.3587768,4037.382593,4332840,3,0,3554,3554,18,4050,33.17499924,33.37666702,0.201667786,33.18876478,0.046776889,597.3977661 +3554,MN,349,25,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,57 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,57 CLINTON STREET LLC,2500,8350,800,7550,0,800,0,0,0,0,2,1,5,18,20,25,100,25,64, ,3,N,5,2,180000,625500,0,0,1910,1997,0, , ,3.34,4,0,4,1,1003490025,0,3001,988388,201459,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,253.0239729,2496.564071,445500,1,0,3555,3555,11,2475,24.4422226,27.87888908,3.436666489,25.45828316,1.447377628,280.0411148 +3555,MN,902,31,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,373 2 AVENUE,C1-9A,R8A,R9A,R8B,C1-5, , , , , ,Y,M1,8,0,X,CATHOLIC CHUR EPIPHAN,27767,53000,53000,0,0,0,0,0,0,53000,2,2,5,0,0,125,225,120,155.83, ,0,Y,5,5,3343500,5770350,3343500,5770350,1915,0,0, , ,1.91,10,2,10,1,1009020031,0,64,989228,207859,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,744.0026644,28717.71932,2426850,11,0,3556,3556,128,28800,19.86555672,24.55444527,4.68888855,20.29228383,0.945263217,2597.412331 +3556,MN,587,15,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,16 COMMERCE STREET,C2-6, , , , , , , , , ,N,A5,1,0, ,EASTON ROBERT L,1137,1850,0,1300,0,0,0,0,0,0,2,1,2.5,1,1,25,56.25,25,30, ,2,Y,5,1,21456,112803,0,0,1899,0,0,Greenwich Village Historic District, ,1.63,3.44,2,6.5,1,1005870015,0,67,983089,205838,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,155.0328484,1214.116657,91347,9,0,3557,3557,6,1350,15.94888878,19.64444351,3.695554733,17.59420363,1.663648424,105.5652218 +3557,MN,460,49,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,75 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE HOUSING,2500,13200,723,12477,0,723,0,0,0,0,2,1,6,20,22,25,100,25,88, ,3,N,5,2,154350,1154250,146633,1096538,1920,1999,0,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004600049,0,38,986967,204055,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,259.2137103,2627.265868,999900,1,0,3558,3558,10,2250,35.65444565,37.35778046,1.703334808,35.82477913,0.511000443,358.2477913 +3558,MN,273,18,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,193 MADISON STREET,R7-2, , , , , , , , , ,N,M2,8,0,X,LOWER MANHATTAN SPANI,2383,2380,2380,0,0,0,0,0,0,2380,2,1,1,0,1,23.83,100,24,100, ,3,N,5,0,158400,359100,158400,359100,1963,0,0, , ,1,3.44,0,6.5,1,1002730018,0,6,986859,198983,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,254.1259606,2520.60585,200700,16,0,3559,3559,11,2475,23.87533379,25.6977787,1.822444916,24.0410106,0.523916077,264.4511166 +3559,MN,745,48,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,318 WEST 22 STREET,R7B, , , , , , , , , ,N,H3,5,0, ,WEST 22ND ST. LLC,2469,7315,0,0,0,0,0,0,0,0,2,1,4,0,1,25,98.75,25,66,E,3,N,5,1,445500,1701450,0,0,1900,1989,0,Chelsea Historic District Extension, ,2.96,3,0,3,1,1007450048,0,89,984245,210636,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,244.0739405,2258.358022,1255950,7,0,3560,3560,12,2700,15.9989996,20.98666763,4.987668037,17.26623146,1.727477406,207.1947775 +3560,MN,281,9,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,22 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0,P,22 E BROADWAY RLTY CO,1837,7350,4850,2500,0,3600,0,1250,0,0,2,1,3.5,2,4,25.42,72.08,25.42,53,E,0,Y,5,2,177750,417600,0,0,1900,0,0, , ,4,3.44,6,6.5,1,1002810009,0,8,985096,199295,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,202.9936489,1968.733682,239850,16,0,3561,3561,9,2025,33.92777634,33.92777634,0,33.92777634,0,305.349987 +3561,MN,390,52,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,207 EAST 7 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,EAST SEVENTH BAPTISTM,3880,6983,6983,0,0,0,0,0,0,6983,2,1,4,22,22,20,97.5,20,97, ,0,N,5,5,180000,2391750,180000,2391750,2001,0,0, , ,1.8,4,0,4,1,1003900052,0,2602,989811,203332,12c, ,102 022,10203,E-216,1003900052,2/10/2003,1, ,1,17V1.1,0,277.1197225,3838.749121,2211750,12,1,3562,3562,18,4050,9.445555687,9.893333435,0.447777748,9.48759275,0.121131128,170.7766695 +3562,MN,13,1,101,13,2008,2,1,10004,E010,1,15,7700,1,1, ,1 BROADWAY,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,LOGANY,17025,180646,180646,0,176146,4500,0,0,0,0,2,1,13,0,16,96.33,171.33,96,171, ,3,Y,3,1,4905000,18002700,0,0,1921,1982,0, ,INTERNATIONAL MERCANTILE MARINE COM,10.61,10,15,15,1,1000130001,0,13,980242,196109,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,563.2592805,18200.05718,13097700,15,1,3563,3563,81,18225,11.33888912,16.09755516,4.758666039,14.93444399,0.764804026,1209.689963 +3563,MN,831,42,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,276 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O6,5,0, ,"SM 276, LLC",14812,133300,133300,0,119300,14000,0,0,0,0,2,1,11,0,58,98.75,150,99,150, ,3,N,3,2,6210000,23506200,0,0,1920,1988,0, , ,9,10,10,10,1,1008310042,0,76,987876,211029,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,502.8899149,15079.96719,17296200,10,0,3564,3564,66,14850,41.02666855,42.04888916,1.022220612,41.1089781,0.247094478,2713.192554 +3564,MN,436,9,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,406 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,NEIN E LLC,3131,12396,2066,10330,0,2066,0,0,0,0,2,1,6,22,25,41.75,75,42,62, ,3,N,5,2,252000,1390950,0,0,1929,0,0, , ,3.96,4,0,4,1,1004360009,0,32,988559,204435,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,240.3060528,3294.821487,1138950,12,0,3565,3565,14,3150,17.84799957,23.41666603,5.568666458,18.77580902,1.578124048,262.8613262 +3565,MN,590,41,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,21 CORNELIA STREET,R6, , , , , , , , , ,N,A5,1,0, ,"LG & COMPANY INDEED,",1950,3327,0,3327,0,0,0,0,0,0,2,2,3,1,1,20,97.5,20,40, ,3,N,5,2,23289,286282,0,0,1900,1982,2009,Greenwich Village Historic District Exte, ,1.71,2.43,0,4.8,1,1005900041,0,67,983645,205821,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,239.0103669,2029.57707,262993,9,0,3566,3566,8,1800,17.54000092,17.54000092,0,17.54000092,0,140.3200073 +3566,MN,907,25,106,66,3001,2,2,10016,E016,13,14,5800,1,6,1B,240 EAST 27 STREET,C1-8A,R8B, , , , ,TA, , , ,Y,D6,4,0,P,EQR-EAST 27TH STREET,24687,348386,8000,340386,0,8000,0,0,0,0,2,1,26,325,327,197.5,125,192,119, ,1,Y,1,2,4635000,55476900,0,0,1977,0,0, , ,14.11,7.52,2,7.5,1,1009070025,0,66,989892,208969,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,658.0462251,25502.8049,50841900,11,0,3567,3567,114,25650,33.84111023,43.22333527,9.382225037,35.707832,1.992730066,4070.692848 +3567,MN,410,50,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,111 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,S2,4,0,P,105 REALTY CO,1335,3717,1200,2517,0,0,0,0,0,1200,2,1,3,2,3,21.92,60.92,21,59, ,0,N,5,5,52744,96494,0,0,1920,1999,0, , ,2.78,4,4,4,1,1004100050,0,18,987593,201515,12c, ,101N079,10204, ,1004100047,12/20/1988,1, , ,17V1.1,0,173.4602556,1409.323563,43750,13,0,3568,3568,7,1575,31.33099937,32.51022339,1.179224014,31.49945995,0.412642447,220.4962196 +3568,MN,589,3,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,241 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,241 BLEECKER REALTY L,2092,4667,650,4017,0,650,0,0,0,0,2,1,4,3,4,20.92,100,21,88,E,3,N,5,5,192456,439638,0,0,1920,2013,2014,Greenwich Village Historic District Exte, ,2.23,3.44,0,6.5,1,1005890003,0,67,983562,205534,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,245.4381139,2270.358353,247182,9,0,3569,3569,11,2475,15.87222195,15.87222195,0,15.87222195,0,174.5944414 +3569,MN,458,32,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,32 EAST 2 STREET,C6-2A, , , , , , , , , ,N,C6,2,0,P,32-34 E 2ND ST (HDFC),3263,14376,2396,11980,0,2396,0,0,0,0,2,1,6,28,30,41.25,79.33,41,66, ,3,Y,5,2,310950,780300,232399,232399,1900,1985,0,East Village/Lower East Side Historic Di, ,4.41,6.02,6,6.5,1,1004580032,0,3602,986880,203491,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,240.6015638,3266.489536,469350,1,0,3570,3570,15,3375,37.60888672,38.54666519,0.937778473,37.67140528,0.23392305,565.0710793 +3570,MN,818,23,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,21 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C2,2,0,P,"BARNS, LAWRENCE",2300,4650,0,4650,0,0,0,0,0,0,2,1,3.5,6,6,25,92,25,68,E,3,N,5,5,103026,382847,0,0,1920,0,0, ,21 WEST 16TH STREET BUILDING (PART,2.02,6.02,6,6.5,1,1008180023,0,54,985873,208218,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,239.0742575,2291.463465,279821,7,0,3571,3571,11,2475,31.11599922,34.41555405,3.299554825,31.48957495,0.953827491,346.3853245 +3571,MN,722,20,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,429 WEST 24 STREET,R8A, , , , , , , , , ,N,D4,3,0, ,WEST 24 OWNERS CORP.,4905,18700,0,18700,0,0,0,0,0,0,2,2,5,32,32,50,98.75,50,84, ,3,N,5,1,216000,1750950,21707,21707,1920,1980,0, , ,3.81,6,0,6,1,1007220020,0,93,983682,211760,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,305.9924531,5149.790049,1534950,2,1,3572,3572,26,5850,10.68099976,12.51366711,1.832667351,10.77318782,0.357798758,280.1028833 +3572,MN,374,2,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,56 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0,P,HO FOONG SHIU RLTY CP,1542,6521,800,5721,0,800,0,0,0,0,2,1,5,8,10,24,64.25,24,52, ,3,N,5,2,3103,36455,0,0,1920,0,0, , ,4.23,4,0,4,1,1003740002,0,2601,989839,202447,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,176.7819028,1529.068211,33352,1,1,3573,3573,7,1575,10.52222252,13.57444477,3.052222252,10.95825427,1.0680553,76.70777988 +3573,MN,584,33,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,71 BEDFORD STREET,R6, , , , , , , , , ,N,B3,1,0, ,"COOK, WILLARD",1600,2400,0,2400,0,0,0,0,0,0,2,1,3,2,2,20,80,20,45, ,3,N,5,2,52277,225676,0,0,1901,2005,0,Greenwich Village Historic District, ,1.5,2.43,0,4.8,1,1005840033,0,67,982869,205679,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,204.4088611,1643.828892,173399,9,0,3574,3574,7,1575,16.16111183,17.12000084,0.958889008,16.52047702,0.419307464,115.6433392 +3574,MN,553,40,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,121 WAVERLY PLACE,R6, , , , , , , , , ,N,C6,2,0, ,121 WAVERLY PLACE TEN,2325,5956,0,5956,0,0,0,0,0,0,2,1,3,4,4,23.25,100,23,74,E,3,N,5,1,170387,406606,0,0,1900,0,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1005530040,0,63,984428,206266,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,252.1486329,2450.989937,236219,8,0,3575,3575,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +3575,MN,146,23,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,130 DUANE STREET,C6-2A, , , , , , , , , ,N,HB,5,0,P,5444 ASSOCS.,2975,17452,0,0,0,0,0,0,0,0,2,1,5,0,1,25.5,116.65,25.42,116.54, ,0,N,3,5,1030500,4038300,0,0,2003,0,0,Tribeca South Historic District, ,5.87,6.02,6,6.5,1,1001460023,0,33,982188,200089,12a, ,101S017,10104, ,1001460023,12/28/1988,1, , ,17V1.1,0,294.4563499,3178.143182,3007800,14,0,3576,3576,15,3375,16.87777901,22.43222237,5.554443359,17.59940847,1.840534154,263.991127 +3576,MN,738,14,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,337 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D7,4,0, ,335-7 LLC,4687,28821,500,28321,0,500,0,0,0,0,2,1,7,28,29,37.5,125,38,111, ,3,N,5,2,193950,2586150,0,0,1900,0,0, , ,6.15,6.02,6,6.5,1,1007380014,0,83,983094,209165,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,337.3454743,4910.68489,2392200,7,0,3577,3577,21,4725,16.15333366,16.99333382,0.840000153,16.21962456,0.192312197,340.6121159 +3577,MN,461,52,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,209 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,MARKSUE REALTY CORP.,2425,10005,1100,8905,0,1100,0,0,0,0,2,2,5,20,22,25,97,25,55, ,3,N,5,1,219150,1025100,0,0,1910,1986,0,East Village/Lower East Side Historic Di, ,4.13,4,0,4,1,1004610052,0,38,986886,204385,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,251.6590047,2496.275952,805950,1,0,3578,3578,11,2475,36.55199814,39.5233345,2.971336365,36.85583669,0.85018185,405.4142036 +3578,MN,864,27,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,45 EAST 34 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,45-34 REALTY CORP C/O,2469,11295,11295,0,7095,4200,0,0,0,0,2,1,5,0,5,25,98.75,25,97,E,3,N,5,2,661500,1558800,0,0,1910,0,0, , ,4.57,10,10,10,1,1008640027,0,74,989171,211708,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,257.5385924,2575.966661,897300,10,0,3579,3579,12,2700,55.57666779,60.8769989,5.300331116,56.06272316,1.458934852,672.7526779 +3579,MN,391,13,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,612 EAST 9 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,"BRAUDES, ANNA LEAH L.",1878,5452,0,5452,0,0,0,0,0,0,2,1,4,4,4,20,93.92,20,93.92, ,0,N,5,5,38212,50453,0,0,1900,0,0, , ,2.9,4,0,4,1,1003910013,0,2602,989867,203701,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,234.087437,1936.441373,12241,12,1,3580,3580,8,1800,8.318888664,10.97777748,2.658888817,8.651249766,0.879344822,69.20999813 +3580,MN,563,45,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,61 EAST 11 STREET,C6-1, , , , , , , , , ,N,D0,3,0, ,61 EAST 11 STREET COR,2788,26958,2500,24458,0,2500,0,0,0,0,2,1,10,9,10,27,103.25,27,103,E,3,N,5,2,527801,2247700,14160,14160,1903,1980,0, , ,9.67,3.44,6,6.5,1,1005630045,0,61,986404,206363,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,266.2175489,2891.643997,1719900,8,0,3581,3581,14,3150,36.55666733,36.55666733,0,36.55666733,0,511.7933426 +3581,MN,228,111,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,323 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, , ,1916,4500,4500,0,0,4500,0,0,0,0,2,1,2,0,1,19.01,100.8,19.01,100.8, ,0,N,5,2,287100,946800,0,0,1950,2003,0,SoHo-Cast Iron Historic District, ,2.35,0,5,6.5,1,1002280111,0,47,983187,202271,12a, ,11N 045,10105, ,1002280012,9/25/2006,1,1,1,17V1.1,0,243.9469955,1920.462714,659700,0,1,3582,3582,9,2025,9.686666489,9.686666489,0,9.686666489,0,87.1799984 +3582,MN,832,5,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,864 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,1239 OPERATING CORP.,1400,3640,3640,0,2120,1520,0,0,0,0,2,1,3,0,3,20,70,20,70,E,3,N,5,2,193500,715500,0,0,1918,0,0, , ,2.6,10,10,10,1,1008320005,0,76,987255,211588,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,182.0615657,1390.195406,522000,6,0,3583,3583,6,1350,42.28300095,42.28455734,0.001556396,42.28326035,0.000580035,253.6995621 +3583,MN,446,35,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,69 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,MADS LIMITED LIABILIT,2349,9385,1894,7491,0,1894,0,0,0,0,2,1,5,19,21,23.67,99.25,23.67,80, ,0,N,5,2,236250,1125000,0,0,1900,0,0, , ,4,4,0,4,1,1004460035,0,38,987781,203588,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,255.0683786,2512.599339,888750,1,0,3584,3584,10,2250,28.45888901,28.45888901,0,28.45888901,0,284.5888901 +3584,MN,355,72,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,148 STANTON STREET,R7A, , , , , , , , , ,N,S3,4,0, ,MIRER,1238,3608,800,2808,0,0,0,0,0,800,2,1,4,3,4,22.5,55,23,44, ,3,N,5,5,66486,96535,0,0,1900,0,0, , ,2.91,4,0,4,1,1003550072,0,3001,988264,201845,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,155.2099479,1243.079766,30049,1,0,3585,3585,7,1575,23.94333458,23.94333458,0,23.94333458,0,167.6033421 +3585,MN,906,41,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,226 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,226-228 EAST 26TH STR,2716,10755,0,10755,0,0,0,0,0,0,2,1,5,22,22,27.5,98.75,28,87, ,3,N,5,1,191250,1580400,0,0,1920,0,0, , ,3.96,4,0,4,1,1009060041,0,66,989636,208873,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,259.2752061,2772.646944,1389150,11,0,3586,3586,12,2700,30.96199989,32.54133224,1.579332352,31.21066634,0.557176992,374.5279961 +3586,MN,284,20,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,181 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MDI REALTY INC,2608,10595,2100,8495,0,2100,0,0,0,0,2,1,5,18,19,26.08,100,26,88, ,3,N,5,2,157500,806400,0,0,1910,0,0, , ,4.06,3.44,0,6.5,1,1002840020,0,6,987244,199369,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,260.2379728,2714.782927,648900,13,0,3587,3587,10,2250,20.93000031,27.19000053,6.260000229,22.0067337,2.188837873,220.067337 +3587,MN,502,16,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,160 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,EMILY KORN & WILLIAM,4811,21157,4000,17157,0,4000,0,0,0,0,2,2,6,40,45,77.5,62.08,75,63, ,2,N,3,2,589500,3776400,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.4,3.44,0,6.5,1,1005020016,0,49,983832,203741,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,281.2741991,4903.225911,3186900,0,0,3588,3588,21,4725,12.81888866,18.63666725,5.817778587,13.26915328,1.427993529,278.6522188 +3588,MN,406,29,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,548 EAST 13 STREET,R7A, , , ,C1-5, , , , , ,N,M1,8,0,P,CHURCH OF BIBLE CRSDR,1274,1162,1162,0,0,0,0,0,0,1162,2,1,1,0,1,25.25,75.33,25,44, ,3,N,5,2,55800,158400,55800,158400,1940,1987,0, , ,0.91,4,0,4,1,1004060029,0,34,990069,204775,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,213.2516463,2160.520879,102600,12,1,3589,3589,9,2025,11.35888863,12.63000011,1.271111488,11.50012324,0.399471801,103.5011091 +3589,MN,573,9,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,66 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,H-O REALTY CORPORATIO,2302,9135,0,9135,0,0,0,0,0,0,2,1,5,20,20,25.17,92.25,25,76, ,3,N,5,2,109350,974700,0,0,1910,1984,0,Greenwich Village Historic District, ,3.97,2.43,0,4.8,1,1005730009,0,63,984715,206835,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.6432177,2364.521066,865350,8,0,3590,3590,11,2475,18.98099899,18.98099899,0,18.98099899,0,208.7909889 +3590,MN,255,12,103,6,5001,2,1,10002,E015,7,14,7800,1,3,1B,230 CHERRY STREET,R7-2, , , , , , , , , ,N,U2,7,0, ,CONS EDISON CO OF NY,0,0,0,0,0,0,0,0,0,0,7,7,0,0,0,204.42,231,0,0, ,0,Y,5,5,2794000,7434000,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002550012,0,6,986828,198474,12d, ,101N053,10106, ,0, ,1, , ,17V1.1,0,888.237573,38901.01793,4640000,16,1,3591,3591,175,39375,13.84300041,24.32666588,10.48366547,17.36914675,3.755772745,3039.600681 +3591,MN,606,19,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,48 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0,P,MILTON SCHAPIRO TRUST,3487,15000,3487,11513,0,3487,0,0,0,0,2,2,5,35,39,49.33,73,24,57, ,3,Y,5,2,352350,2563650,0,0,1900,1989,0,Greenwich Village Historic District, ,4.3,3.44,2,6.5,1,1006060019,0,71,984163,207315,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,267.3879028,3814.946242,2211300,8,0,3592,3592,18,4050,22.88899994,23.77666664,0.887666702,23.01519744,0.274914915,414.2735538 +3592,MN,577,10,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,58 WEST 14 STREET,C6-2M, , , , , , , , , ,N,D9,3,0,P,13-14 DEVELOPMENT,5162,37810,5162,32648,0,5162,0,0,0,0,2,1,9,22,23,50,103.25,50,103, ,3,N,5,2,787500,6286050,0,0,1906,1999,0, , ,7.32,6.02,6,6.5,1,1005770010,0,63,985231,207744,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,320.3948778,5489.619317,5498550,8,0,3593,3593,25,5625,29.16555595,30.09499931,0.929443359,29.99817726,0.263948693,749.9544315 +3593,MN,552,34,102,65,1001,2,1,10012,L009,6,15,5700,1,2,2A,145 WEST 4 STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,E PLUS REALTY INC.,1636,6230,0,6230,0,0,0,0,0,0,2,1,5,11,11,17,96.25,17,80, ,3,N,5,2,55350,1114200,0,0,1900,1986,0,Greenwich Village Historic District, ,3.81,3.44,0,6.5,1,1005520034,0,65,984177,205824,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,228.0234555,1605.368782,1058850,9,0,3594,3594,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +3594,MN,288,44,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,509 GRAND STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,509 GRAND LLC,1208,4518,2259,2259,2259,0,0,0,0,0,2,1,4,2,4,26.25,57.5,25,42, ,3,Y,5,5,59310,86167,0,0,1915,0,0, , ,3.74,3.44,0,6.5,1,1002880044,0,202,989178,199576,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,155.972278,1295.055669,26857,13,0,3595,3595,5,1125,29.70800018,32.47444534,2.76644516,30.78768921,1.323026886,153.938446 +3595,MN,179,6,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,7 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,FINE ARTS DEVELOPMENT,9910,43095,4800,38295,0,2424,2376,0,0,0,2,4,6,17,19,99.17,100,24.5,97,E,0,N,5,5,625500,4669200,4720,4720,1920,1970,0,Tribeca West Historic District, ,4.35,6.02,6,6.5,1,1001790006,0,33,981993,200934,12a, ,101S035,10105, ,1001799006,5/4/2006,1, , ,17V1.1,0,400.6716503,10032.39192,4043700,14,1,3596,3596,45,10125,10.17444515,10.17444515,0,10.17444515,0,457.8500319 +3596,MN,472,12,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,403 BROOME STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,A TRENKMANN EST INC,3735,25515,25515,0,17000,7000,0,0,0,1515,2,1,7,0,13,54,71.17,54,71, ,0,Y,3,5,504000,3744000,0,0,1900,1988,0,SoHo-Cast Iron Historic District Extensi, ,6.83,0,5,6.5,1,1004720012,0,45,984815,201867,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,260.6093737,4129.657063,3240000,0,0,3597,3597,18,4050,28.8239994,32.75444412,3.930444717,29.46625868,1.436331745,530.3926563 +3597,MN,744,67,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,350 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,"350 W. 21ST STREET,",1554,3612,0,3612,0,0,0,0,0,0,2,1,4,8,8,21,74,21,41,E,3,N,5,2,43799,204042,0,0,1900,0,0, , ,2.32,3,0,3,1,1007440067,0,89,983760,210626,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,191.1869224,1573.257699,160243,7,0,3598,3598,7,1575,15.84222221,15.84222221,0,15.84222221,0,110.8955555 +3598,MN,392,17,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,364 EAST 10 STREET,R8B, , , , , , , , , ,N,D5,3,0,P,LOWER EAST SIDE I ASS,11534,46700,0,46700,0,0,0,0,0,0,2,1,5,44,44,125,92.25,75,81, ,3,N,5,2,1080000,4583250,1080000,4583250,1900,1988,0, , ,4.05,4,0,4,1,1003920017,0,28,990098,203853,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,444.0124908,12104.83227,3503250,12,1,3599,3599,54,12150,7.576999664,10.40111065,2.824110985,8.15970963,1.023973361,440.62432 +3599,MN,617,55,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,20 7 AVENUE,C2-6,C1-6, , , , , , , , ,Y,I9,8,0,P,LENOX HILL HOSPITAL,36147,153000,153000,0,153000,0,0,0,0,0,2,1,6,0,2,206.58,200,206,200, ,2,N,3,1,4590000,18709650,4590000,18709650,1964,1985,2013,Greenwich Village Historic District, ,4.23,3.44,2,6.5,1,1006170055,0,77,984008,208046,12c,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,814.885141,36484.0937,14119700,8,0,3600,3600,163,36675,23.28222275,27.09844399,3.816221237,23.41658128,0.656574876,3816.902748 +3600,MN,201,20,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,19 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,Y2,8,0,C,POLICE DEPARTMENT,4800,13414,13414,0,13414,0,0,0,0,0,2,1,4,0,3,51,94.25,51,62, ,3,Y,5,5,403650,919350,403650,919350,1915,0,0, , ,2.79,3.44,6,6.5,1,1002010020,0,29,984946,200203,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,296.5300646,4929.400887,515700,14,0,3601,3601,21,4725,33.0379982,33.0379982,0,33.0379982,0,693.7979622 +3601,MN,443,9,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,51 EAST 2 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEAS REALTY,5043,19565,0,19565,0,0,0,0,0,0,2,2,5,20,20,126,45,63,34, ,3,Y,5,2,328500,1917000,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3.88,4,0,4,1,1004430009,0,3602,987089,203240,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,352.0173085,5148.150113,1588500,1,0,3602,3602,22,4950,31.53899956,37.14666748,5.607667923,32.82863608,2.180386648,722.2299938 +3602,MN,92,23,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,35 ANN STREET,C5-5, , , , , ,LM, , , ,N,K2,5,0,P,ABACUS FEDERAL SV BK,1502,1435,1435,0,0,1435,0,0,0,0,2,1,2,0,1,42.5,40.75,43,40, ,3,Y,3,2,199800,243450,0,0,1900,0,0, , ,0.96,10,15,15,1,1000920023,0,1501,982258,198165,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,168.375161,1702.940867,43650,4,0,3603,3603,8,1800,34.5909996,34.95966721,0.368667603,34.68122196,0.129081851,277.4497757 +3603,MN,180,4,101,39,4005,2,1,10013,E007,1,15,7700,1,1,3A,73 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,O8,5,0,P,PARSIFAL PROPERTIES C,2379,11500,6900,4600,4600,2300,0,0,0,0,2,1,5,2,5,25,92.17,25,92, ,0,Y,4,5,224550,1237500,2850,2850,1910,1997,0,Tribeca West Historic District, ,4.83,6.02,6,6.5,1,1001800004,0,39,981698,200979,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,246.8363662,2584.494348,1012950,14,0,3604,3604,11,2475,16.15699959,16.15699959,0,16.15699959,0,177.7269955 +3604,MN,500,17,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,118 PRINCE STREET,M1-5A, , , , , , , , , ,N,K2,5,0, ,TANNER PRINCE REALTY,1420,2480,2480,0,0,2480,0,0,0,0,2,1,2,0,1,20,71,20,56, ,3,N,5,2,447300,3302550,0,0,1910,2016,0,SoHo-Cast Iron Historic District, ,1.75,0,5,6.5,1,1005000017,0,49,984304,203428,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,184.6659575,1446.359959,2855250,0,0,3605,3605,7,1575,24.77555466,24.89599991,0.120445251,24.87879344,0.042147058,174.1515541 +3605,MN,475,7,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,349 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C6,2,0, ,SOHO GRAND WEST BROAD,2500,13758,785,12973,0,785,0,0,0,0,2,1,7,24,25,25,100,25,98, ,3,N,5,2,127800,1644300,2360,2360,1900,1988,0,SoHo-Cast Iron Historic District, ,5.5,0,5,6.5,1,1004750007,0,47,983378,202572,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,256.0064641,2661.728152,1516500,0,1,3606,3606,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +3606,MN,375,7502,103,26.01,1000,1,2,10009,E028,9,14,6700,3,3, ,753 EAST 5 STREET,R8A, , , ,C1-5, , , , , ,N,RM,4,0, , ,2201,8301,1927,4002,0,1927,0,0,0,0,2,1,4,8,10,26.75,82.25,0,0, ,0,N,1,5,71977,997656,2360,2360,2003,0,0, , ,3.77,6,0,6,1,1003757502,1446,2601,990480,202355,12c, ,102 014,10202, ,1003750044,9/16/2005,1, , ,17V1.1,7,227.0632597,2407.352229,925679,1,1,3607,3607,11,2475,9.704999924,11.88222218,2.177222252,10.04590901,0.696110347,110.5049992 +3607,MN,227,16,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,35 GRAND STREET,M1-5B, , , , , , , , , ,N,D5,3,0, ,I & E LITTLE GREENHO,1898,9791,1898,7893,0,1898,0,0,0,0,2,1,5,10,12,26,73,26,73, ,2,N,3,1,128250,1063350,0,0,1910,2007,2011, , ,5.16,0,5,6.5,1,1002270016,0,47,983015,202510,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,206.7343138,2104.706389,935100,0,1,3608,3608,9,2025,9.686666489,9.686666489,0,9.686666489,0,87.1799984 +3608,MN,406,45,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,539 EAST 12 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,BEAUCHEMIN MARK,2272,2442,800,1642,0,800,0,0,0,0,2,1,3,2,3,22,103.25,22,36, ,0,N,5,5,15852,39512,0,0,1901,0,0, , ,1.07,4,0,4,1,1004060045,0,34,989942,204708,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,256.6362212,2339.001625,23660,12,1,3609,3609,11,2475,11.35888863,13.94000053,2.581111908,12.85937379,0.786900736,141.4531116 +3609,MN,584,31,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,75 BEDFORD STREET,R6, , , , , , , , , ,N,A4,1,0, ,"OAKLEY, JAMES",1640,2400,0,2400,0,0,0,0,0,0,2,1,3,1,1,20.5,80,20.5,45, ,3,N,5,2,27585,152877,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.46,2.43,0,4.8,1,1005840031,0,67,982852,205717,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,206.411269,1726.0417,125292,9,0,3610,3610,7,1575,16.16111183,18.39444351,2.23333168,16.75190517,0.938308535,117.2633362 +3610,MN,588,38,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,50 BARROW STREET,R6, , , , , , , , , ,N,C1,2,0, ,MICHAEL C LYNCH,2397,5418,0,5418,0,0,0,0,0,0,2,2,3,8,8,24.5,97.83,25,38, ,3,Y,5,1,116677,349788,0,0,1900,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1005880038,0,73,982944,206023,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.7550404,2606.958779,233111,9,0,3611,3611,12,2700,18.94666672,21.00555611,2.058889389,19.35561117,0.753307663,232.267334 +3611,MN,719,30,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,417 WEST 21 STREET,R7B, , , , , , , , , ,N,C0,2,0,P,"BISBEE, SAMUEL M",2300,4215,0,2715,0,0,0,0,0,0,2,1,3.5,3,3,22,104.5,22,42,E,3,N,5,1,50017,179049,0,0,1910,1993,0,Chelsea Historic District, ,1.83,3,0,3,1,1007190030,0,89,983418,210983,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,257.1795756,2317.268545,129032,7,1,3612,3612,10,2250,9.307999611,16.95222282,7.644223213,11.31873312,2.983599735,113.1873312 +3612,MN,293,16,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,11 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WANG AND ASSOCIATES L,2188,8960,1840,7120,0,1840,0,0,0,0,2,1,5,8,10,25,87.5,25,74, ,3,N,5,2,54569,516319,0,0,1900,0,0, , ,4.1,3.44,6,6.5,1,1002930016,0,16,986190,199749,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,235.3314203,2452.69639,461750,16,0,3613,3613,11,2475,38.23899841,41.23199844,2.993000031,39.5279378,1.427811119,434.8073158 +3613,MN,770,7,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,261 WEST 20 STREET,R8B,C1-6A, , , , , , , , ,Y,C0,2,0, ,245 REALTY L.L.C. C/O,1341,2816,0,2112,0,0,0,0,0,0,2,1,3,3,3,16,83.83,16,44, ,2,N,5,1,61847,111559,0,0,1901,0,0, , ,2.1,4,0,4,1,1007700007,0,87,984459,210113,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,205.4656233,1406.765445,49712,7,0,3614,3614,7,1575,22.20999908,22.20999908,0,22.20999908,0,155.4699936 +3614,MN,503,9,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,113 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,SULLIVAN PROPERTIESLP,2500,9385,0,9385,0,0,0,0,0,0,2,2,5,31,31,25,100,25,51, ,3,N,5,2,399600,2146950,0,0,1900,1969,0,Sullivan-Thompson Historic District, ,3.75,3.44,0,6.5,1,1005030009,0,49,983545,203736,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,257.1565515,2674.707675,1747350,0,0,3615,3615,11,2475,15.37666702,20.01555634,4.638889313,15.79838423,1.333586913,173.7822266 +3615,MN,180,7508,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,339 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,21 JAY STREET CONDOMI,6002,33334,7563,25771,0,0,0,0,0,7563,2,1,7,9,10,0.13,75,0,0, ,0,N,3,5,288868,2954005,0,0,1915,0,0,Tribeca West Historic District, ,5.55,6.02,6,6.5,1,1001807508,994,39,981431,200960,12a, ,11S 037,10105, ,1001800019,12/24/1997,1, , ,17V1.1,7,328.7435203,6751.00074,2665140,14,0,3616,3616,31,6975,15.85299969,15.90266609,0.049666405,15.85460183,0.008775294,491.4926567 +3616,MN,890,52,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,160 EAST 35 STREET,R8B,C1-9, , , , , , , , ,Y,M3,8,0,X,CONGREGATION FOR LIGH,3665,11500,11500,0,0,0,0,0,0,11500,2,1,5,0,1,30.33,113.5,30.33,113.5, ,2,Y,5,2,490500,1017450,490500,1017450,1915,1968,0, , ,3.14,4,0,4,1,1008900052,0,72,990269,211211,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,277.7401236,3693.830981,526950,10,0,3617,3617,17,3825,37.79100037,37.89666748,0.105667114,37.79721608,0.02486285,642.5526733 +3617,MN,896,17,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,235 EAST 14 STREET,C1-6A, , , , , , , , , ,N,D6,4,0,P,235 EAST 14TH STREET,5377,22254,5150,17104,0,5150,0,0,0,0,2,1,7,17,18,52.08,103.25,52,98, ,3,N,5,2,247500,1465200,0,0,1988,2011,0, , ,4.14,4,2,4,1,1008960017,0,48,988267,206291,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,314.9156551,5410.232357,1217700,12,0,3618,3618,25,5625,29.86422157,31.28711128,1.422889709,29.92461334,0.278119711,748.1153336 +3618,MN,871,44,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,160 3 AVENUE,C1-9A,R8B, , , , , , , , ,Y,D4,3,0, ,142 E 16 OWNERS CORP,11982,111428,3500,107928,3500,0,0,0,0,0,2,1,22,147,151,78,140.5,74,136, ,3,Y,4,2,1350000,13108500,394381,394381,1963,1987,0, , ,9.3,10,2,10,1,1008710044,0,50,987919,206900,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,499.690861,12379.10006,11758500,5,0,3619,3619,56,12600,33.55555725,35.03333282,1.477775574,33.85827317,0.238533787,1896.063297 +3619,MN,790,65,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,152 WEST 15 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,152 SIXTH SEVENTH LLC,2000,6568,0,6568,0,0,0,0,0,0,2,1,4,5,5,20,103,20,66,E,3,Y,5,5,435221,663139,0,0,1910,1985,0, , ,3.28,4,0,4,1,1007900065,0,81,984635,208425,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,249.1053933,1962.04853,227918,7,0,3620,3620,8,1800,27.73777771,27.73777771,0,27.73777771,0,221.9022217 +3620,MN,391,7501,103,26.02,2000,1,2,10009,L011,9,14,6700,4,3, ,331 EAST 8 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2325,7595,0,7595,0,0,0,0,0,0,2,1,6,5,5,24.75,93.92,25,60, ,0,N,5,5,34617,787638,0,710538,2005,0,0, , ,3.27,4,0,4,1,1003917501,1554,2602,990059,203485,12c, ,102 022,10203, ,1003910044,5/1/2006,1, ,1,17V1.1,7,245.1817768,2436.363727,753021,12,1,3621,3621,11,2475,8.318888664,10.17777729,1.858888626,8.943999724,0.835996424,98.38399696 +3621,MN,623,53,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,277 WEST 11 STREET,R6, , , , , , , , , ,N,C1,2,0, ,"277 WEST 11 REALTY,",5518,22686,0,22686,0,0,0,0,0,0,2,1,6,36,36,50,112,50,94,E,3,Y,5,2,495000,1995750,0,0,1910,2015,0,Greenwich Village Historic District, ,4.11,2.43,0,4.8,1,1006230053,0,77,982959,207515,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,334.4833445,5547.559755,1500750,8,0,3622,3622,24,5400,22.60333252,22.60333252,0,22.60333252,0,542.4799805 +3622,MN,530,135,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,342 BOWERY,C6-1, , , , , , , , , ,N,S4,4,0, ,MERVIN JANET,1905,6099,1974,4125,0,650,0,1324,0,0,2,1,4,4,5,26.33,78.5,25,55,E,3,N,5,0,37143,567348,0,0,1900,0,0,NoHo Historic District Extension, ,3.2,3.44,6,6.5,1,1005300135,0,5502,986413,203866,12c, ,103 010,10207, ,1005300132,9/6/1991,1, , ,17V1.1,0,210.962452,2027.610161,530205,9,0,3623,3623,9,2025,43.14099884,43.75111008,0.610111237,43.21028264,0.19125731,388.8925438 +3623,MN,545,59,102,57,1005,2,2,10003,E033,9,15,5700,1,2,2A,752 BROADWAY,C6-2, , , , , , , , , ,N,D5,3,0,P,"AMDAR COMPANY, LLC",15030,147773,14451,133322,4710,7541,0,0,0,2200,2,1,12,176,180,133,117,50,124, ,3,Y,3,2,3568500,25501500,0,0,1909,1981,0,NoHo Historic District, ,9.83,6.02,6,6.5,1,1005450059,0,57,986391,205326,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,516.5506086,16727.01346,21933000,8,0,3624,3624,74,16650,36.9497757,37.91688919,0.967113495,37.40760793,0.085937464,2768.162987 +3624,MN,540,8,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,118 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"MACDOUGAL ASSOCIATES,",2500,9780,1850,7930,0,1850,0,0,0,0,2,1,5,20,22,25,100,25,90, ,3,N,5,2,254700,1492200,0,0,1900,0,0,South Village Historic District, ,3.91,3.44,0,6.5,1,1005400008,0,65,984140,205138,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,253.9555907,2457.670783,1237500,9,0,3625,3625,10,2250,22.5755558,23.70188904,1.126333237,22.68818913,0.337899971,226.8818913 +3625,MN,906,24,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,441 2 AVENUE,C1-8A,R8B, , , , , , , , ,Y,D4,3,0,P,245 E 25 REALTY CORP,14260,190000,10200,179800,0,10200,0,0,0,0,2,1,21,183,185,92,155,92,155,G,3,Y,3,2,1368000,17016750,279889,279889,1964,1988,0, , ,13.32,7.52,2,7.5,1,1009060024,0,66,989725,208705,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,516.898048,15286.57224,15648800,11,0,3626,3626,67,15075,29.90777779,31.78777695,1.879999161,30.70912432,0.456292074,2057.51133 +3626,MN,173,17,101,33,1006,2,1,10013,L001,1,15,7700,1,1,3B,74 LEONARD STREET,C6-2A, , , , , , , , , ,N,D7,4,0,P,"ALLEGRA TRIBECA, INC.",3828,24423,10423,14000,0,10423,0,0,0,0,2,1,5,18,19,38.33,99.92,38.33,85,E,2,Y,5,0,468000,2273850,0,0,1920,1996,0,Tribeca East Historic District, ,6.38,6.02,6,6.5,1,1001730017,0,33,982751,200597,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,279.69104,3886.919921,1805850,14,0,3627,3627,17,3825,21.61333275,22.38400078,0.77066803,21.65866616,0.181333654,368.1973248 +3627,MN,846,54,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,870 BROADWAY,M1-5M, , , , , , , , , ,N,K4,4,0,P,MOMART DISCOUNT STRLT,2692,8098,8098,0,0,4432,0,3666,0,0,2,1,4,0,8,25,99.25,25,104, ,3,Y,5,2,1062000,2830050,0,0,1910,1989,0,Ladies' Mile Historic District, ,3.01,0,5,6.5,1,1008460054,0,52,987057,207973,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,271.1391993,2874.675604,1768050,7,0,3628,3628,14,3150,41.51599884,43.92222214,2.406223297,41.83106232,0.749151456,585.6348724 +3628,MN,791,30,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,117 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,117 WEST 15TH LLC,2581,11575,2000,9575,0,0,0,2000,0,0,2,1,5,12,13,25,103.25,25,96, ,3,N,5,2,99450,783450,0,0,1920,0,0, , ,4.48,4,0,4,1,1007910030,0,81,985074,208364,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,266.6372034,2806.510953,684000,7,0,3629,3629,13,2925,27.87888908,30.15999985,2.281110764,28.05435914,0.607846114,364.7066689 +3629,MN,586,7501,102,67,3002,2,3,10014,E024,6,15,6400,1,2, ,1 LEROY STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,4905,21878,7524,14354,0,0,0,0,0,7524,2,1,6,6,9,65.33,75.12,0,0, ,0,Y,0,5,424165,3560946,2360,2360,1999,0,0,Greenwich Village Historic District Exte, ,4.46,3.44,0,6.5,1,1005867501,1080,67,983391,205595,12a, ,103 005,10208, ,1005860070,9/6/2000,1, , ,17V1.1,7,290.0664343,5225.896316,3136780,9,0,3630,3630,24,5400,17.38400078,18.56333351,1.179332733,17.47570443,0.304998003,419.4169064 +3630,MN,795,37,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,635 AVENUE OF THE AMER,C6-2A,C6-3A, , , , , , , , ,Y,O6,5,0, ,635 OWNER LLC,9656,76651,76651,0,57067,19584,0,0,0,0,2,1,8,0,2,63.67,153.67,64,153, ,3,N,3,2,1804500,15720300,0,0,1901,1964,2014,Ladies' Mile Historic District, ,7.94,6.02,6,6.5,1,1007950037,0,87,985663,209153,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,463.3105763,10797.1818,13915800,7,0,3631,3631,49,11025,27.66555595,30.76488876,3.099332809,27.75761943,0.477742802,1360.123352 +3631,MN,792,70,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,113 7 AVENUE,C6-3A, , , , , , , , , ,N,P7,8,0, ,17TH STREET REALTY HO,5296,39936,39936,0,0,39936,0,0,0,0,2,1,6,0,1,52.92,100,52,94, ,2,N,3,2,1764000,4391550,0,0,1924,1977,0, , ,7.54,7.52,6,7.5,1,1007920070,0,81,984784,208952,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,307.9669953,5346.319512,2627550,7,0,3632,3632,24,5400,27.66555595,28.49222183,0.826665878,27.7173152,0.181632271,665.2155647 +3632,MN,525,51,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,504 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,ERMELINO 504 LLC,1875,8775,1755,7020,0,1755,0,0,0,0,2,1,5,4,5,25,75,25,75,E,3,N,5,5,97538,895892,0,0,1910,2005,2008,South Village Historic District, ,4.68,3.44,0,6.5,1,1005250051,0,65,984359,204388,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,206.1000792,1967.061803,798354,9,0,3633,3633,9,2025,23.62666702,28.6744442,5.047777176,24.36518542,1.603046188,219.2866688 +3633,MN,471,11,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,391 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,G6,10,0, ,"HEADQUARTERS PARKING,",10010,0,0,0,0,0,0,0,0,0,7,1,0,0,1,69.58,138.58,0,0, ,0,Y,3,5,837900,837900,0,0,0,0,0, , ,0,6.02,6,6.5,1,1004710011,0,41,984993,201734,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,432.9513698,10374.69135,0,0,0,3634,3634,47,10575,24.86333275,34.01555634,9.152223587,32.15420784,1.485254369,1511.247768 +3634,MN,881,60,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,134 EAST 26 STREET,C6-2A, , , , , , , , , ,N,D6,4,0, ,VRINDAVAN 26 LEXINGTO,1876,11256,3752,7504,0,1876,0,1876,0,0,2,1,6,8,10,38,49.38,38,49.38, ,0,N,5,5,207149,1618500,0,455025,2006,0,0, , ,6,6.02,6,6.5,1,1008810060,0,68,988937,209288,8d, ,104 006,10307, ,1008810060,8/13/2010,1, , ,17V1.1,0,177.2769666,1913.560169,1411350,11,0,3635,3635,7,1575,30.02400017,31.75244522,1.728445053,30.27092089,0.604829776,211.8964462 +3635,MN,823,17,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,35 WEST 21 STREET,C6-4A, , , , , , , , , ,N,D6,4,0,P,"MARJAYROB ASSOCIATES,",12134,151236,10000,141236,0,10000,0,0,0,0,2,1,15,116,118,99.37,98.75,99.37,100, ,0,N,4,2,2902500,20093850,0,7691396,2007,0,0,Ladies' Mile Historic District, ,12.46,10,10,10,1,1008230017,0,58,986374,209341,8d, ,102 042,10306,E-131,1008230017,9/26/2011,1, , ,17V1.1,0,599.5320121,12107.2567,17191400,7,0,3636,3636,55,12375,33.74333191,37.92633438,4.183002472,34.89344378,1.37849886,1919.139408 +3636,MN,406,35,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,204 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,"KURTERIKA,",1110,3228,800,2428,0,800,0,0,0,0,2,1,4,3,4,18.5,60,19,60, ,3,N,5,5,5983,45368,0,0,1929,0,0, , ,2.91,4,0,4,1,1004060035,0,34,990073,204672,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,164.9944262,1179.865903,39385,12,1,3637,3637,5,1125,11.35888863,11.35888863,0,11.35888863,0,56.79444313 +3637,MN,822,79,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,666 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,S3,4,0, ,BEN-DOV CHANA,1475,4460,850,3610,0,850,0,0,0,0,2,1,4,3,4,20,73.75,20,71,E,3,N,5,5,212857,390971,0,0,1925,1984,0,Ladies' Mile Historic District, ,3.02,6.02,6,6.5,1,1008220079,0,54,986012,209338,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,193.1231751,1543.716551,178114,7,0,3638,3638,7,1575,34.23199844,34.23199844,0,34.23199844,0,239.6239891 +3638,MN,862,7503,105,74,1003,2,4,10016,L024,14,15,5200,1,5, ,325 5 AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,25678,317446,40095,277351,0,5882,31190,3023,0,0,2,1,41,250,252,134.5,197.5,134.3,99.9, ,3,Y,0,5,2782357,64718653,0,12099953,2005,0,0, , ,12.36,10,10,10,1,1008627503,1583,74,988445,211549,8d, ,104 018,10306, ,1008620003,9/7/2006,1, , ,17V1.1,7,726.9284973,24319.45064,61936300,10,0,3639,3639,109,24525,39.86111069,48.17111206,8.310001373,45.16240311,1.684563642,4922.701939 +3639,MN,527,48,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,241 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,"251 SIXTH AVE,",912,2700,1800,900,0,1800,0,0,0,0,2,1,2,1,3,80.08,23.83,69,23, ,3,Y,3,2,135000,677250,0,0,1900,0,0,Greenwich Village Historic District Exte, ,2.96,3.44,0,6.5,1,1005270048,0,67,983446,204755,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,191.9171024,1051.418741,542250,9,0,3640,3640,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +3640,MN,876,7503,106,50,1000,2,2,10003,E005,13,14,5300,1,6, ,36 GRAMERCY PARK EAST,R9A, , , , , , , , , ,N,R4,3,0, , ,6800,55072,0,55072,0,0,0,0,0,0,2,1,12,46,46,83.5,83,83.5,60, ,3,Y,0,5,828001,7891199,4720,4720,1909,0,0, , ,8.1,7.52,0,7.52,1,1008767503,2209,50,988425,207989,12c, ,102 046,10307, ,1008760021,11/18/2010,1, , ,17V1.1,7,345.0317921,7311.292438,7063200,5,0,3641,3641,33,7425,24.27599907,29.52111053,5.245111465,24.72231564,1.322053459,815.8364162 +3641,MN,544,50,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,16 COOPER SQUARE,M1-5B, , , , , , , , , ,N,L3,6,0,P,NEW YORK UNIVERSITY,17375,117391,117390,0,95390,0,0,22000,0,0,2,1,7,0,2,126,176,126,176, ,0,Y,5,2,1471500,11987550,1442070,11747799,1930,1966,2006,NoHo Historic District, ,6.76,0,5,6.5,1,1005440050,0,57,986534,204476,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,562.8765186,17907.09169,10516100,9,0,3642,3642,78,17550,40.7820015,43.98177719,3.199775696,40.85023792,0.405112182,3186.318558 +3642,MN,387,41,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,291 EAST 4 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,C4,2,0,P,NEW YORK EQUITY FUND,2380,11412,1000,10412,0,1000,0,0,0,0,2,1,5,14,15,24.75,96.17,25,82, ,2,N,5,1,180000,403200,171000,383040,1900,2007,0, , ,4.79,4,0,4,1,1003870041,0,2601,989660,202561,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,244.0317449,2489.406139,223200,1,1,3643,3643,10,2250,11.63300037,12.41344452,0.780444145,11.71104479,0.234133244,117.1104479 +3643,MN,784,17,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,245 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K1,5,0,P,261 WEST 34TH STREET,2254,2255,2255,0,0,2255,0,0,0,0,2,1,1,0,2,22.83,98.75,22.83,98.75, ,3,N,5,2,1462500,1467000,0,0,1925,0,0, , ,1,10,10,10,1,1007840017,0,109,986433,213226,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,260.3788508,2523.226233,4500,6,0,3644,3644,12,2700,34.68444443,34.68444443,0,34.68444443,0,416.2133331 +3644,MN,423,8,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,143 BOWERY,C6-1G, , , , , , , , , ,N,H3,5,0, ,ANCHOR REALTY CORP,2750,12140,2766,0,0,2766,0,0,0,0,2,1,5,0,2,25.08,110.42,25,100, ,3,Y,5,2,661500,2375550,0,0,1900,1988,0, , ,4.41,3.44,6,6.5,1,1004230008,0,18,985851,201198,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,273.894108,2785.698035,1714050,0,0,3645,3645,13,2925,34.16999817,36.21444321,2.044445038,34.32726317,0.544781951,446.2544212 +3645,MN,438,49,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,257 EAST 10 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,CHUR OF CHRIST NYC MI,2369,5520,5520,0,0,0,0,0,0,5520,2,1,5,0,2,25,94.75,25,90,E,3,N,5,2,141300,250200,141300,250200,1920,1987,0, , ,2.33,4,0,4,1,1004380049,0,34,988822,204733,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.0665487,2474.471311,108900,12,0,3646,3646,11,2475,17.98900032,17.98900032,0,17.98900032,0,197.8790035 +3646,MN,499,7506,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,115 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,5000,26691,6730,19961,0,6730,0,0,0,0,2,1,7,8,10,50,100,50,96, ,0,N,5,5,700846,3852616,0,0,1900,2004,0,SoHo-Cast Iron Historic District, ,5.34,0,5,6.5,1,1004997506,1743,49,984404,203046,12c, ,101N072,10206, ,1004990030,10/17/2007,1, , ,17V1.1,7,308.7660188,5227.08075,3151770,0,0,3647,3647,23,5175,22.35555458,23.79277802,1.437223434,22.41804256,0.293094585,515.6149788 +3647,MN,306,10,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,80 FORSYTH STREET,C6-1G, , , , , , , , , ,N,B9,1,0, ,80 FORSYTH PROPERTIES,2531,4939,0,4939,0,0,0,0,0,0,2,1,3,2,2,25.25,100.25,25.25,98, ,3,N,5,5,69908,89311,0,0,1901,0,0, , ,1.95,3.44,6,6.5,1,1003060010,0,16,986170,200619,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,254.4332484,2560.839502,19403,13,0,3648,3648,11,2475,37.59777832,37.85699844,0.259220123,37.62134379,0.074520546,413.8347816 +3648,MN,492,27,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,216 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,CHOLLA 216 LLC,2500,4888,3388,1500,1500,1888,0,0,0,0,2,1,3,1,3,25,100,25,72, ,2,N,5,0,180000,536850,0,0,1900,2004,0, , ,1.96,3.44,6,6.5,1,1004920027,0,43,985963,202283,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,256.6349306,2594.781208,356850,0,0,3649,3649,10,2250,39.76666641,39.76666641,0,39.76666641,0,397.6666641 +3649,MN,310,38,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,59 HESTER STREET,C6-2, , , , , , , , , ,N,S9,4,0, ,WAI KWONG TAO TAK TEM,1500,5700,2000,3700,0,1000,0,0,0,1000,2,1,5,4,6,20,75,20,55, ,3,N,5,5,32655,117770,0,0,1900,1961,0, , ,3.8,6.02,6,6.5,1,1003100038,0,16,986962,200085,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,196.231483,1562.308766,85115,13,0,3650,3650,7,1575,34.98799896,34.98799896,0,34.98799896,0,244.9159927 +3650,MN,464,33,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,240 EAST 9 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,"VK REALTY,",2104,9180,1488,7692,1488,0,0,0,0,0,2,1,6,12,14,45.17,46.58,45,34, ,3,N,5,1,146250,843300,0,0,1900,1988,0, , ,4.36,4,0,4,1,1004640033,0,38,987633,204967,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,191.8496934,2291.354876,697050,12,0,3651,3651,10,2250,32.10889053,32.10889053,0,32.10889053,0,321.0889053 +3651,MN,479,34,102,41,1002,2,1,10013,L006,5,15,6800,1,2,1A,356 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,E9,6,0, ,356 BROOME LLC,2460,4600,4600,0,255,2200,0,2145,0,0,2,1,1,0,1,25.5,103,25.5,93, ,0,Y,3,2,205200,365400,0,0,1915,0,0, , ,1.87,6.02,6,6.5,1,1004790034,0,41,985554,201642,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,255.9482097,2681.504008,160200,0,0,3652,3652,12,2700,35.33778,35.33778,0,35.33778,0,424.05336 +3652,MN,590,31,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,166 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,S5,4,0, ,SANZ GEMINIANO,1000,4300,1000,3300,0,1000,0,0,0,0,2,1,5,5,6,20.33,52,20,41, ,2,Y,5,5,82181,291593,0,0,1910,2009,2009,Greenwich Village Historic District Exte, ,4.3,2.43,0,4.8,1,1005900031,0,67,983822,205944,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,149.4383383,1137.62037,209412,9,0,3653,3653,5,1125,17.54000092,18.82222366,1.282222748,17.79644547,0.512889099,88.98222733 +3653,MN,503,44,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,193 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0,P,1453 PLEASANT STREET,1478,3678,993,2685,0,993,0,0,0,0,2,1,3,4,5,19.67,75,19.67,60,E,3,N,5,0,34710,137585,0,0,1901,0,0,Sullivan-Thompson Historic District, ,2.49,3.44,0,6.5,1,1005030044,0,49,983418,203518,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,192.765162,1426.229624,102875,0,0,3654,3654,6,1350,14.34111118,16.89466667,2.553555489,14.76670376,0.951653943,88.60022259 +3654,MN,404,57,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,297 EAST 10 STREET,R7A, , , ,C2-5, , , , , ,N,C6,2,0, ,THOMPKINS THUMB APT C,2539,7724,3566,4158,0,3566,0,0,0,0,2,1,4,7,8,23.83,109.5,24,88,E,3,N,5,1,36749,164158,2360,2360,1925,0,0,East 10th Street Historic District, ,3.04,4,0,4,1,1004040057,0,34,989303,204476,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,273.7825937,2759.47834,127409,12,0,3655,3655,14,3150,12.53199959,15.83111191,3.29911232,13.63344431,1.480408469,190.8682203 +3655,MN,175,13,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3A,273 CHURCH STREET,C6-2A, , , , , , , , , ,N,K4,4,0,P,273 CHURCH ST. ASSOC.,1884,7799,5799,2000,1300,1759,0,2740,0,0,2,1,4,1,6,25.17,75,25,68, ,3,N,5,2,150750,883350,0,0,1910,1983,2002,Tribeca East Historic District, ,4.14,6.02,6,6.5,1,1001750013,0,33,982902,201014,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,210.6175526,2007.622109,732600,14,0,3656,3656,8,1800,17.40222168,20.16333389,2.761112213,17.74736071,0.913152032,141.9788857 +3656,MN,434,25,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,122 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,122 E 7 ST ASSOC,2278,6884,1377,5507,0,1377,0,0,0,0,2,1,5,14,16,25.08,90.83,25,52, ,3,N,5,2,239400,1218600,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,3.02,4,0,4,1,1004340025,0,32,988600,203830,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,235.5591547,2285.351248,979200,12,0,3657,3657,10,2250,18.26222229,20.46777725,2.205554962,19.03233337,0.950767759,190.3233337 +3657,MN,238,7502,102,41,3001,2,1,10013,L006,5,15,6800,1,2, ,217 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,RC,5,0, , ,4835,40962,40962,0,33472,7490,0,0,0,0,2,1,9,0,9,53.75,75,54,75, ,0,Y,0,5,598500,4395150,0,239579,1910,0,0, , ,8.47,6.02,6,6.5,1,1002387502,1771,41,985342,201111,12c, ,101N049,10105, ,1002380016,1/3/2008,1, , ,17V1.1,7,354.9135408,5249.794093,3796650,0,0,3658,3658,24,5400,30.7211113,32.6542244,1.933113098,31.85343568,0.310521124,764.4824562 +3658,MN,824,15,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,37 WEST 22 STREET,C6-4M, , , , , , , , , ,N,O6,5,0,P,50 WEST 23RD STREET B,19751,284930,284930,0,262598,22332,0,0,0,0,2,2,13,0,38,172,197.5,172,198, ,2,N,4,2,9000000,42821100,0,0,1906,2011,1990,Ladies' Mile Historic District, ,14.43,10,10,10,1,1008240015,0,58,986476,209593,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,752.8127697,28327.41122,33821100,2,0,3659,3659,126,28350,34.45999908,36.84000015,2.380001068,34.51255665,0.316496378,4348.582138 +3659,MN,478,38,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,158 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,"VENUS LIGHTING, LTD",1667,4231,4231,0,0,1667,0,0,0,2564,2,1,4,0,1,16.67,100,16.67,44, ,0,Y,5,5,191250,769050,0,0,1910,0,0, , ,2.54,3.44,6,6.5,1,1004780038,0,41,985753,201572,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,236.2169447,1676.539053,577800,0,0,3660,3660,7,1575,35.62666702,35.62666702,0,35.62666702,0,249.3866692 +3660,MN,935,5,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,530 2 AVENUE,C1-8, , , , , , , , , ,N,D7,4,0, ,530 SECOND AVENUE CO.,5875,28431,2600,25831,0,2600,0,0,0,0,2,1,7,51,53,77.83,75,78,70, ,2,Y,5,2,783000,3726900,0,0,1964,0,0, , ,4.84,7.52,2,10,1,1009350005,0,70,990447,209565,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,309.2724245,5962.878197,2943900,10,0,3661,3661,26,5850,32.43500137,36.14389038,3.708889008,32.79213817,0.859698873,852.5955925 +3661,MN,914,61,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,497 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,497 THIRD REALTY LLC,2027,8510,2000,6510,0,2000,0,0,0,0,2,1,5,12,13,25,81.08,25,66, ,3,N,5,2,225000,1156050,0,0,1930,1963,0, , ,4.2,10,2,10,1,1009140061,0,70,990325,210808,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,219.4025365,2129.437844,931050,10,0,3662,3662,9,2025,22.00200081,26.08911133,4.087110519,22.4561242,1.284454917,202.1051178 +3662,MN,871,1,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,20 UNION SQUARE,C6-2A,C6-4, , , , ,US, , , ,Y,J9,5,0,P,DIFT,9081,14081,14081,0,5000,0,0,0,0,9081,2,1,5,0,1,52,150,52,120, ,3,Y,3,2,1215000,2788650,0,0,1907,1988,0, ,UNION SQUARE SAVINGS BANK,1.55,6.02,6,6.5,1,1008710001,0,50,987196,207159,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,527.3580519,9946.017109,1573650,7,0,3663,3663,43,9675,37.98099899,42.98110962,5.000110626,38.24735047,0.970543208,1644.63607 +3663,MN,227,19,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,41 GRAND STREET,M1-5A,M1-5B, , , , , , , , ,Y,S2,4,0, ,SSL HOLDINGS LLC,1598,3048,1000,2048,0,1000,0,0,0,0,2,1,3,2,3,22.5,71,23,70, ,0,N,5,5,6019,19905,0,0,1900,1987,0, , ,1.91,0,5,6.5,1,1002270019,0,47,983073,202473,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,197.6919169,1791.944079,13886,0,1,3664,3664,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +3664,MN,615,86,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,245 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0, ,GREENWICH HOUSE HOLDI,10000,58565,0,58565,0,0,0,0,0,0,2,1,6,24,24,77.75,126,78,126, ,2,Y,5,1,778500,5882850,47580,47580,1920,1988,0,Greenwich Village Historic District, ,5.86,2.43,0,4.8,1,1006150086,0,77,983511,208108,8b,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,418.9902569,10113.04343,5104350,8,0,3665,3665,44,9900,21.74111176,24.77222252,3.031110764,22.01416731,0.863492598,968.6233616 +3665,MN,939,21,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,333 EAST 33 STREET,R8A, , , , , , , , , ,N,D3,3,1, ,BOLANOS PROPERTIES LL,1975,7860,0,7860,0,0,0,0,0,0,2,1,5,13,13,20,98.75,20,48, ,3,N,5,2,80100,819450,0,0,1910,1988,0, , ,3.98,6,0,6,1,1009390021,0,70,991217,210237,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,239.2615879,1921.385326,739350,10,1,3666,3666,8,1800,10.03999996,13.79444408,3.754444122,11.02944446,1.511904585,88.23555565 +3666,MN,886,84,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,104 EAST 31 STREET,C6-4A, , , , , , , , , ,N,D3,3,0, ,SAMBR 104,2370,8830,0,8830,0,0,0,0,0,0,2,1,6,24,24,24,98.75,24,88.75, ,3,N,5,1,472500,1639350,0,0,1910,1976,0, , ,3.73,10,10,10,1,1008860084,0,72,989139,210620,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,254.5628565,2604.136858,1166850,10,0,3667,3667,12,2700,33.23199844,33.98333359,0.751335144,33.29460971,0.207658064,399.5353165 +3667,MN,418,1,103,18,5003,2,1,10002,L006,5,14,7400,1,3,1A,106 CHRYSTIE STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,75584,2870,2870,0,0,0,0,0,0,2870,2,1,1,0,0,125.33,603.08,70,41, ,0,N,3,2,4500000,5644800,4500000,5644800,1900,0,0, , ,0.04,0,0,0,1,1004180001,0,18,986191,201194,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,1431.643809,72977.73259,1144800,13,0,3668,3668,326,73350,36.72222137,44.26333237,7.541110992,40.49139063,1.357814632,13200.19334 +3668,MN,821,20,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,35 WEST 19 STREET,C6-4A, , , , , , , , , ,N,S5,4,0, ,MKF RLTY CORP,2349,13050,2650,10400,0,2288,0,362,0,0,2,1,6,5,6,25.5,92,26,88, ,3,N,5,2,265500,963000,0,0,1920,2014,0,Ladies' Mile Historic District, ,5.56,10,10,10,1,1008210020,0,54,986166,208892,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,244.9406229,2505.244843,697500,7,0,3669,3669,10,2250,32.91555405,32.91555405,0,32.91555405,0,329.1555405 +3669,MN,795,10,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,155 WEST 19 STREET,C6-3A, , , , , , , , , ,N,O3,5,0, ,WAREHOUSE EYES,4158,25090,25090,0,25090,0,0,0,0,0,2,1,7,0,8,46.17,90,46,88, ,3,N,5,2,945000,2454300,0,0,1910,1986,0, , ,6.03,7.52,6,7.5,1,1007950010,0,87,985189,209432,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,281.2398838,4347.01472,1509300,7,0,3670,3670,18,4050,27.66555595,27.82533264,0.159776688,27.67443244,0.036598676,498.1397839 +3670,MN,631,17,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,716 GREENWICH STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,BERNARDO FELIX,1675,8051,1610,6441,0,1610,0,0,0,0,2,1,5,12,16,40,67.58,40,61, ,2,Y,3,0,331650,1329300,0,0,1875,0,0,Greenwich Village Historic District Exte, ,4.81,4,2,4,1,1006310017,0,75,982194,206749,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,191.0847821,1856.384848,997650,9,0,3671,3671,9,2025,17.77111053,19.17333221,1.40222168,17.9865426,0.451729788,161.8788834 +3671,MN,63,1,101,13,1007,2,1,10007,E010,1,15,7700,1,1, ,10 CORTLANDT STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,SARGENTS LLC,6086,20750,20750,0,0,18300,0,2450,0,0,2,2,3,0,4,50.08,122.17,50,122, ,3,Y,5,2,1201500,3622500,0,0,1920,0,0, , ,3.41,10,15,15,1,1000630001,0,13,981387,198034,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,346.0776465,6120.524977,2421000,3,0,3672,3672,27,6075,30.83200073,30.83200073,0,30.83200073,0,832.4640198 +3672,MN,238,27,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,83 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,OTT KENG CORP,4619,20800,4000,16800,0,4000,0,0,0,0,2,2,6,34,40,51.58,95.25,25,80, ,3,Y,5,2,252000,651150,0,0,1900,1987,0, , ,4.5,6.02,6,6.5,1,1002380027,0,41,985288,200927,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,302.0053277,5164.817341,399150,0,0,3673,3673,23,5175,31.90200043,37.19666672,5.29466629,32.4276332,1.461805874,745.8355637 +3673,MN,609,70,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,149 WEST 13 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"TILNEY, ANNE M",2065,4535,0,3395,0,0,0,0,0,0,2,1,3,1,1,20,103.25,20,54,E,3,N,5,1,199224,420905,0,0,1900,1988,2011,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006090070,0,71,984483,208035,12c,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,257.0618468,2341.250602,221681,8,0,3674,3674,11,2475,27.22500038,31.12999916,3.904998779,28.33888886,1.398579682,311.7277775 +3674,MN,764,35,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,205 WEST 14 STREET,C6-3A, , , , , , , , , ,N,S4,4,0, ,"205 , AS TO 50%",2400,8400,1680,6720,0,1680,0,0,0,0,2,1,5,4,5,25,96,25,95, ,3,N,5,5,187650,1371150,0,0,1920,2016,2016, , ,3.5,7.52,6,7.5,1,1007640035,0,81,984285,208488,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,264.4149798,2817.62126,1183500,7,0,3675,3675,13,2925,24.42199898,25.21555519,0.793556213,24.48304176,0.211458412,318.2795429 +3675,MN,288,63,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,283 EAST BROADWAY,R7-2, , , , , , , , , ,N,M2,8,0,P,THE HOUSE OF SAGES IN,1560,7900,7900,0,7900,0,0,0,0,0,2,1,3,0,3,20.42,85.83,20,83,E,2,Y,5,1,176400,463950,0,0,1928,0,0, , ,5.06,3.44,0,6.5,1,1002880063,0,202,988587,199525,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,218.370871,1624.616688,287550,13,0,3676,3676,8,1800,34.99700165,35.19400024,0.196998596,35.03402901,0.068633909,280.2722321 +3676,MN,469,7501,103,40,1001,1,2,10003,L003,9,14,6200,4,3, ,105 3 AVENUE,C1-9A, , , , , , , , , ,N,RM,4,0,P,PEAR TREE PLACE CONDO,5700,20746,8434,12312,0,4948,0,0,0,3486,2,1,6,17,20,100,57,0,100, ,0,N,5,5,1012500,2949300,2360,2360,1920,1986,0, , ,3.64,10,2,10,1,1004697501,390,40,987777,206187,12c, ,102 026,10205, ,1004690001,12/16/1987,1, , ,17V1.1,7,321.0681153,5983.30663,1936800,12,0,3677,3677,26,5850,36.56499863,38.00333405,1.438335419,36.66134482,0.337709312,953.1949654 +3677,MN,890,73,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,128 EAST 35 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,ALBA REALTY LLC,2292,5184,0,5184,0,0,0,0,0,0,2,1,4,6,6,23.83,98.75,24,76,E,3,Y,5,5,131493,508540,0,0,1910,1935,0,Murray Hill Historic District, ,2.26,4,0,4,1,1008900073,0,72,989831,211461,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,256.6015358,2383.569547,377047,10,0,3678,3678,10,2250,54.3030014,57.03778076,2.734779358,54.9156456,0.973583239,549.156456 +3678,MN,489,17,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,200 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,LF EAST 21 PROPERTY C,3750,8750,2500,6250,0,2500,0,0,0,0,2,1,5,11,12,25,75,25,75, ,2,Y,3,2,274950,1683000,0,0,1920,1989,0,Sullivan-Thompson Historic District, ,2.33,3.44,0,6.5,1,1004890017,0,47,983281,203389,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,367.1126521,4063.388106,1408050,0,1,3679,3679,18,4050,9.686666489,16.15999985,6.473333359,11.50061724,2.396313845,207.0111103 +3679,MN,879,33,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,155 EAST 23 STREET,C2-8A, , , , , , , , , ,N,D6,4,0, ,"155 EAST 23RD,",7702,41883,6881,35002,0,6881,0,0,0,0,2,1,6,56,58,78,98.75,78,98,E,3,N,5,2,1183500,5085000,0,0,1910,1985,0, , ,5.44,10,2,10,1,1008790033,0,68,988816,208622,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,360.1670818,7992.05463,3901500,11,0,3680,3680,36,8100,26.06111145,26.95611191,0.895000458,26.08961455,0.14803984,939.2261238 +3680,MN,437,12,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,260 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,K&T REALTY ASSOCIATES,2583,10309,0,10309,0,0,0,0,0,0,2,1,5,17,17,28,92.25,28,92, ,2,N,5,1,200250,664650,0,0,1900,0,0, , ,3.99,4,0,4,1,1004370012,0,34,988730,204610,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,245.4278287,2717.536341,464400,12,0,3681,3681,12,2700,17.51666641,20.44111252,2.924446106,17.88990736,0.880197869,214.6788883 +3681,MN,497,1,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,530 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,530 BROADWAY OWNER LL,7237,78033,78033,0,70939,7094,0,0,0,0,2,1,11,0,24,75.75,100.17,76,100, ,3,Y,3,2,1953000,26839800,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,10.78,0,5,6.5,1,1004970001,0,43,984684,202696,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,367.1237537,8206.943885,24886800,0,0,3682,3682,37,8325,31.61100006,32.91688919,1.30588913,31.71134536,0.338266449,1173.319778 +3682,MN,798,11,104,91,1004,2,3,10011,L012,13,15,5200,1,4,1A,161 WEST 22 STREET,C6-3A, , , , , , , , , ,N,L8,6,0, ,LONE OAK-OAK BEACH CO,2148,6959,6959,0,5759,1200,0,0,0,0,2,1,4,0,2,21.83,98.75,22,93,E,3,Y,5,2,315000,597150,0,0,1920,0,0, , ,3.24,7.52,6,7.5,1,1007980011,0,91,985518,210106,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,252.5662018,2275.760303,282150,2,0,3683,3683,11,2475,28.16444397,28.16444397,0,28.16444397,0,309.8088837 +3683,MN,349,22,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,47 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,47 CLINTON OWNER LLC,2500,10625,1200,9425,0,1200,0,0,0,0,2,1,5,8,10,25,100,25,82, ,3,N,5,2,48022,197020,0,0,1900,1984,0, , ,4.25,4,0,4,1,1003490022,0,3001,988415,201528,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,254.0940688,2551.146956,148998,1,0,3684,3684,12,2700,24.4422226,27.70000076,3.257778168,24.72305584,0.898113966,296.6766701 +3684,MN,429,38,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,13 AVENUE A,R8A, , , ,C2-5, , , , , ,N,S2,4,0, ,CAROT COMPANY,1488,3918,1306,2612,0,1306,0,0,0,0,2,1,4,2,3,18.5,80,18.42,56, ,3,N,5,5,12215,18782,0,0,1920,0,0, , ,2.63,6,0,6,1,1004290038,0,3002,988058,202595,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,201.3444395,1526.547203,6567,1,0,3685,3685,8,1800,25.1779995,25.1779995,0,25.1779995,0,201.423996 +3685,MN,227,70,102,37,3016,2,1,10013,L008,1,15,6800,1,2,1B,76 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,Q9,9,0, ,TRINITY CHURCH CORP,5145,0,0,0,0,0,0,0,0,0,7,1,0,0,0,60,85.75,0,0, ,0,N,3,5,364050,587700,0,0,2010,0,0, , ,0,0,10,10,1,1002270070,0,37,982607,202652,12a, ,101N042,10105,E-288,0, ,1, ,1,17V1.1,0,285.4604782,5027.444018,223650,0,1,3686,3686,21,4725,9.686666489,10.10555553,0.418889046,9.771798815,0.126635828,205.2077751 +3686,MN,623,7502,102,77,4003,2,3,10014,L005,6,15,6100,2,2, ,407 BLEECKER STREET,C1-6, , , , , , , , , ,N,RM,4,0, , ,1050,4082,2402,1680,0,2402,0,0,0,0,2,1,4,1,2,0.02,0,21,40,E,3,N,0,5,55212,159347,0,0,1899,0,0, , ,3.89,3.44,2,6.5,1,1006237502,2253,77,982859,207495,12a, ,103 016,10210, ,1006230018,3/19/2012,1, , ,17V1.1,7,144.1036491,1107.064172,104135,8,0,3687,3687,5,1125,22.60333252,22.60333252,0,22.60333252,0,113.0166626 +3687,MN,292,13,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,102 CANAL STREET,C6-1G, , , , , , , , , ,N,F9,6,0, ,WING KEI PROPERTY INC,2504,8839,8839,0,0,0,0,4400,4439,0,2,1,3,0,3,25,75.08,25,50, ,3,N,5,0,135000,571050,0,0,1910,1986,0, , ,3.53,3.44,6,6.5,1,1002920013,0,16,985865,199883,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,260.8199193,2633.810707,436050,16,0,3688,3688,12,2700,40.24599838,45.63999939,5.394001007,40.7939984,1.477555469,489.5279808 +3688,MN,594,83,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,283 HUDSON STREET,C6-2A, , , , , , , , , ,N,E2,6,0, ,283 HUDSON REALTY COR,2250,4400,4400,0,0,0,0,0,4400,0,2,1,1,0,1,25,90,25,90, ,3,N,5,0,135000,294300,0,0,1956,1972,0, , ,1.96,6.02,6,6.5,1,1005940083,0,37,982047,203587,12a, ,101N063,10208,E-116,0, ,1, , ,17V1.1,0,228.9924487,2202.696876,159300,0,1,3689,3689,11,2475,9.168000221,9.168000221,0,9.168000221,0,100.8480024 +3689,MN,506,47,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,15 VANDAM STREET,R6, , , , , , , , , ,N,S2,4,0, ,VANDAM PLAYHOUSE LLC,2500,7464,3583,3881,0,0,0,0,0,3583,2,1,3,2,3,25.08,100.08,25,100, ,3,N,5,1,70464,124492,0,0,1920,1989,0,Charlton-King-Vandam Historic District, ,2.99,2.43,0,4.8,1,1005060047,0,37,983040,203973,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,258.3068607,2746.934299,54028,0,0,3690,3690,13,2925,20.62700081,26.82666588,6.19966507,21.48194078,2.020790081,279.2652302 +3690,MN,412,45,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,174 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ITHILIEN REALTY CORP,2223,8625,1725,6900,0,1725,0,0,0,0,2,1,5,16,18,24.75,89.83,25,72, ,3,N,5,2,405000,859950,0,0,1900,0,0, , ,3.88,4,4,4,1,1004120045,0,3001,987764,202166,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,232.3397638,2272.611308,454950,1,0,3691,3691,10,2250,30.23399925,33.09444427,2.860445023,30.74536591,1.03170705,307.4536591 +3691,MN,445,28,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,124 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,EIGHT COOPER EQUITIES,2404,10854,1809,9045,0,1809,0,0,0,0,2,1,6,24,26,25,96.17,25,82, ,3,N,5,1,378450,1256850,0,0,1910,1959,0, , ,4.51,4,0,4,1,1004450028,0,38,987635,203507,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,247.9230796,2465.458479,878400,1,0,3692,3692,11,2475,29.97444344,29.97444344,0,29.97444344,0,329.7188778 +3692,MN,848,52,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,34 EAST 20 STREET,M1-5M, , , , , , , , , ,N,S9,4,0, ,34E20 LLC,1840,6152,2480,3672,0,1000,0,1480,0,0,2,1,5,3,5,20,92,20,90, ,3,N,5,5,319901,649226,0,0,1925,0,0,Ladies' Mile Historic District, ,3.34,0,5,6.5,1,1008480052,0,52,987353,208346,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,229.9539319,1784.722054,329325,7,0,3693,3693,8,1800,35.19100189,35.19100189,0,35.19100189,0,281.5280151 +3693,MN,884,20,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,126 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,"126 LEXINGTON, LLC",1545,4495,765,3730,0,765,0,0,0,0,2,1,4,5,7,19.5,79,19,45, ,2,N,5,1,96346,371800,0,0,1910,1986,0, , ,2.91,6.02,6,6.5,1,1008840020,0,72,989091,209966,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,207.8061874,1749.790519,275454,11,0,3694,3694,8,1800,32.92222214,34.46277618,1.540554047,33.29633331,0.501820346,266.3706665 +3694,MN,897,32,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,206 EAST 16 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,MARY CHASE TOMMANEY 2,2039,4095,0,4095,0,0,0,0,0,0,2,1,4,3,3,19.75,103.25,19.75,60,E,2,N,5,2,98223,232243,0,0,1880,0,0,Stuyvesant Square Historic District, ,2.01,3,0,3,1,1008970032,0,48,988170,206769,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,252.8906531,2235.039274,134020,5,0,3695,3695,10,2250,27.7444458,31.66110992,3.916664124,28.33711205,1.259675289,283.3711205 +3695,MN,497,7501,102,43,3004,2,1,10012,L020,5,15,6800,1,2, ,83 SPRING STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,"RACHMAN,RAFAEL",2954,12180,4874,3518,0,4874,0,0,0,0,2,1,5,2,5,25,118.17,0,0, ,0,N,5,5,470251,2809801,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,4.12,0,5,6.5,1,1004977501,381,43,984776,202671,12c, ,101N075,10206, ,1004970033,4/20/1987,1, , ,17V1.1,7,297.4906537,3168.059767,2339550,0,0,3696,3696,14,3150,31.61100006,31.61100006,0,31.61100006,0,442.5540009 +3696,MN,440,33,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,205 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,205 AVENUE A REALTY L,2575,9992,700,9292,0,700,0,0,0,0,2,1,6,9,10,25.75,100,26,60,E,3,N,5,2,64067,462423,0,0,1900,2011,2012, , ,3.88,4,0,4,1,1004400033,0,34,989432,205096,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,257.3689145,2662.112244,398356,12,0,3697,3697,13,2925,16.59444427,17.50333405,0.908889771,16.73931621,0.26507508,217.6111107 +3697,MN,614,46,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,241 WAVERLY PLACE,R6, , , , , , , , , ,N,B3,1,0, ,SOCRATES NICHOLAS,800,2880,0,2160,0,0,0,0,0,0,2,1,2,2,2,20,40,20,36, ,3,N,5,1,57954,126074,0,0,1899,0,0,Greenwich Village Historic District, ,3.6,2.43,0,4.8,1,1006140046,0,77,983727,207676,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,127.3793907,886.5686429,68120,8,0,3698,3698,3,675,25.32666588,25.32666588,0,25.32666588,0,75.97999763 +3698,MN,175,5,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,80 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,80 FRANKLIN ST,2508,11020,4420,6600,0,0,0,4420,0,0,2,1,5,3,5,25.08,100,25,96,E,3,N,5,5,75705,526992,0,0,1915,1987,0,Tribeca East Historic District, ,4.39,6.02,6,6.5,1,1001750005,0,33,983013,200902,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,253.0110291,2438.971199,451287,14,0,3699,3699,11,2475,17.40222168,17.40222168,0,17.40222168,0,191.4244385 +3699,MN,585,20,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,12 GROVE STREET,R6, , , , , , , , , ,N,C0,2,0, ,"TRILLIN,CALVIN",1380,4248,0,4248,0,0,0,0,0,0,2,1,4,3,3,20.17,69.83,20.17,44, ,2,Y,5,0,47833,165888,1550,1550,1901,0,0,Greenwich Village Historic District, ,3.08,2.43,0,4.8,1,1005850020,0,73,982672,206040,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,196.5904726,1834.703214,118055,9,0,3700,3700,8,1800,18.5988884,21.76555634,3.166667938,19.26258326,1.04874147,154.100666 +3700,MN,304,18,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,243 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,DEP FAT REALTY CORP,1331,4885,4885,0,2285,2600,0,0,0,0,2,1,4,2,4,26.42,50.08,26,50, ,2,Y,5,1,117900,804600,0,0,1910,1951,0, , ,3.67,3.44,6,6.5,1,1003040018,0,16,985791,200922,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,158.0884675,1416.164898,686700,0,0,3701,3701,6,1350,34.17111206,35.13333511,0.962223053,34.33148257,0.358599359,205.9888954 +3701,MN,282,54,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,94 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,SUN LAU REALTY CORP.,1600,7800,1300,6500,0,1300,0,0,0,0,2,1,6,10,12,25,64,25,52, ,3,N,5,2,99000,403650,0,0,1900,1988,0, , ,4.88,3.44,6,6.5,1,1002820054,0,8,986029,199394,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,190.4089633,1769.386974,304650,16,0,3702,3702,7,1575,37.20222092,37.20222092,0,37.20222092,0,260.4155464 +3702,MN,189,33,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,18 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0, ,16-18 NORTH MOORE LLC,1913,7715,1500,6215,0,1500,0,0,0,0,2,1,5,8,9,25.33,75.5,25,157, ,3,Y,5,2,48160,283550,0,0,1910,2009,2009,Tribeca West Historic District, ,4.03,6.02,6,6.5,1,1001890033,0,33,982268,201456,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,213.2358434,2040.351224,235390,14,1,3703,3703,9,2025,10.17444515,13.26666641,3.09222126,10.81308693,1.199214259,97.3177824 +3703,MN,196,15,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,264 CANAL STREET,M1-5, , , , , , , , , ,N,O5,5,0,P,NACHAMA REALTY CORP,4655,25000,25000,0,0,5000,0,20000,0,0,2,1,6,0,10,49.58,96.67,50,94,E,3,Y,5,2,567000,2891700,0,0,1915,0,0, , ,5.37,0,5,6.5,1,1001960015,0,31,983902,201075,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,290.7347388,4712.820122,2324700,14,0,3704,3704,22,4950,13.36111069,14.39799976,1.036889076,14.31458564,0.266221244,314.9208841 +3704,MN,385,63,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,214 EAST 2 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,P6,9,0,P,KENKELEBA HOUSE INC,6715,38876,38876,0,38876,0,0,0,0,0,2,1,6,0,9,60,111.92,60,111.92, ,0,N,5,5,603000,3238650,470340,2526147,1908,0,0, , ,5.79,4,0,4,1,1003850063,0,2202,988999,202335,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,349.4119478,6907.466842,2635650,1,0,3705,3705,30,6750,17.58333397,18.32666588,0.743331909,17.6081117,0.133432161,528.243351 +3705,MN,199,3,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,83 BAXTER STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,"83-85 BAXTER STREET,",5000,21000,3500,17500,0,3500,0,0,0,0,2,1,6,38,44,50,100,50,82, ,3,N,5,2,337500,1775700,0,0,1915,1986,0, , ,4.2,3.44,6,6.5,1,1001990003,0,29,984363,200360,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,309.6854624,5246.380129,1438200,14,0,3706,3706,22,4950,22.10355568,22.37599945,0.272443771,22.36361564,0.056749737,491.9995441 +3706,MN,527,7502,102,67,2001,2,3,10014,E024,6,15,6400,1,2, ,46 CARMINE STREET,R6, , , , , , , , , ,N,RM,4,0, , ,1500,2941,978,1963,0,978,0,0,0,0,2,1,4,3,4,18.75,80,18.75,50,E,3,N,0,5,49935,181371,11484,22384,1920,0,0,Greenwich Village Historic District Exte, ,1.96,2.43,0,4.8,1,1005277502,1548,67,983319,205173,12a, ,103 006,10206, ,1005270059,7/6/2006,1, , ,17V1.1,7,203.569774,1582.629674,131436,9,0,3707,3707,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +3707,MN,276,46,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,86 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"LAU, KENNETH",2525,9110,500,8610,0,500,0,0,0,0,2,1,5,20,21,25,101,25,88, ,2,N,5,2,84150,478350,0,0,1900,0,0, , ,3.61,3.44,0,6.5,1,1002760046,0,8,985320,198655,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.4170501,2605.229109,394200,16,0,3708,3708,12,2700,16.47999954,23.09555626,6.615556717,17.71333313,2.351260358,212.5599976 +3708,MN,882,33,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,143 EAST 26 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LL 141 EAST 26TH STRE,4773,20040,0,20040,0,0,0,0,0,0,2,1,6,35,35,48.33,98.75,48,86, ,3,N,5,2,472500,2189700,0,0,1907,0,0, , ,4.2,4,0,4,1,1008820033,0,68,989061,209369,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,300.6881284,4931.962265,1717200,11,0,3709,3709,22,4950,31.85222244,31.85222244,0,31.85222244,0,700.7488937 +3709,MN,516,36,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,452 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,THOR 452 WEST BROADWA,665,1527,1527,0,0,1102,0,425,0,0,2,1,2,0,1,19,35,19,32, ,2,N,5,1,157500,888750,0,0,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,2.3,0,5,6.5,1,1005160036,0,49,984015,203818,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,110.500593,705.0098172,731250,9,0,3710,3710,4,900,17.67111206,17.67111206,0,17.67111206,0,70.68444824 +3710,MN,303,5,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,149 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,GOLDEN CITY 149 INC.,1910,7205,7205,0,4005,3200,0,0,0,0,2,1,5,0,5,35.25,89.17,35,68,E,3,Y,5,2,183600,954000,0,0,1910,0,0, , ,3.77,3.44,6,6.5,1,1003030005,0,16,985507,200291,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,221.9925677,2016.024023,770400,0,0,3711,3711,8,1800,41.4129982,41.4129982,0,41.4129982,0,331.3039856 +3711,MN,401,14,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,508 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,SCLERA HOUSING DEVELO,2401,6683,0,6683,0,0,0,0,0,0,2,1,5,6,6,24.75,97,25,50, ,3,N,5,2,109145,486176,109145,486176,1900,1986,0, , ,2.78,3,0,3,1,1004010014,0,32,988836,203419,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,244.2156491,2353.945353,377031,1,0,3712,3712,11,2475,14.20666695,17.94444466,3.73777771,14.9288891,1.133973528,164.2177801 +3712,MN,451,137,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,153 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,1ST AVENUE ENTERPRISE,2308,6333,1267,5066,0,1267,0,0,0,0,2,1,5,7,8,23.08,100,23,100, ,3,N,5,2,108856,210078,0,0,1900,0,0, , ,2.74,4,0,4,1,1004510137,0,40,988409,204721,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.9101533,2354.880978,101222,12,0,3713,3713,10,2250,23.10400009,25.94666672,2.842666626,23.66208897,1.116422053,236.6208897 +3713,MN,906,10,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,217 EAST 25 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,JASKO ESTATES INC,2469,9415,0,9415,0,0,0,0,0,0,2,1,7,22,22,25,98.75,25,90, ,3,N,5,2,292500,1777500,0,0,1968,1960,0, , ,3.81,4,0,4,1,1009060010,0,66,989455,208857,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,254.7022999,2615.466875,1485000,11,0,3714,3714,12,2700,30.26000023,32.93111038,2.671110153,30.60885191,0.776039006,367.3062229 +3714,MN,283,83,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,140 EAST BROADWAY,C6-2, , , , , , , , , ,N,E9,6,0,P,"CHU & MUI INDUSTRIES,",6613,6680,6680,0,0,1000,0,5680,0,0,2,1,2,0,1,53,124.33,53,63, ,3,Y,4,0,209700,471600,0,0,1940,0,0, , ,1.01,6.02,6,6.5,1,1002830083,0,6,986642,199490,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,363.8470606,6779.732278,261900,16,0,3715,3715,27,6075,32.80699921,36.96566772,4.158668518,33.24553426,1.241369192,897.629425 +3715,MN,527,69,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,26 CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,WEST VILLAGE ASSOCIAT,3750,16977,1130,15847,0,1130,0,0,0,0,2,1,6,26,28,50,75,50,62, ,3,N,5,2,435150,2449800,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.53,3.44,0,6.5,1,1005270069,0,67,983498,205252,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,258.8278258,3833.957975,2014650,9,0,3716,3716,17,3825,15.38333321,16.78000069,1.39666748,15.51588232,0.345362849,263.7699995 +3716,MN,896,48,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,135 3 AVENUE,C1-9A,R7B, , , , , , , , ,Y,D6,4,0,P,"KENWOOD ESTATES,",13298,158505,11900,146605,0,11900,0,0,0,0,2,1,17,213,221,109,122,109,118,G,3,Y,3,2,1368000,18595800,0,0,1962,1985,0, , ,11.92,10,2,10,1,1008960048,0,48,987996,206558,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,465.2939423,13346.25578,17227800,5,0,3717,3717,58,13050,26.69333267,35.03555679,8.342224121,27.80828292,2.591493556,1612.880409 +3717,MN,591,33,102,73,4005,2,3,10014,E024,6,15,6400,1,2,2B,16 BARROW STREET,C4-5, , , , , , , , , ,N,C7,4,0, ,O PORTO HOLDING COMPA,1925,7397,850,6547,400,450,0,0,0,0,2,1,5,14,16,25,89,25,66, ,3,Y,5,2,360000,1370700,0,0,1910,0,0,Greenwich Village Historic District, ,3.84,3.44,3.4,6.5,1,1005910033,0,73,983413,206220,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,221.0189181,1908.624297,1010700,9,0,3718,3718,8,1800,22.84600067,23.41600037,0.569999695,22.91725063,0.18850968,183.3380051 +3718,MN,470,21,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,119 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,MEE LUN RLTY CP,4694,18950,1265,17685,0,1265,0,0,0,0,2,1,6,35,37,49.67,94.5,50,78, ,3,N,5,2,73800,470700,0,0,1921,1984,0, , ,4.04,6.02,6,6.5,1,1004700021,0,41,985432,201352,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,294.3410282,4811.656008,396900,0,0,3719,3719,22,4950,28.80888939,30.94777679,2.138887405,28.90611154,0.445527884,635.934454 +3719,MN,544,8,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,409 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,AREDLO REALTY CO.,14782,97020,97020,0,82669,14351,0,0,0,0,2,1,6,0,7,82.17,179.33,82.16,179, ,3,Y,5,2,2038500,8403750,0,0,1891,1988,0,NoHo Historic District, ,6.56,0,5,6.5,1,1005440008,0,57,986419,204617,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,687.5817786,15331.58209,6365250,9,0,3720,3720,66,14850,40.7820015,46.06666565,5.284664154,40.93852332,0.885665261,2701.942539 +3720,MN,128,26,101,21,2006,2,1,10007,L010,1,15,7700,1,1, ,125 BARCLAY STREET,C6-4, , , , , ,LM, , , ,N,O6,5,0, ,"ESPEUT, ELAINE TR",23452,258000,258000,0,257500,500,0,0,0,0,2,1,10,0,10,186.83,137,163,133, ,0,Y,3,5,3042000,16330500,0,0,1932,1987,0, , ,11,10,10,10,1,1001280026,0,21,980659,199615,12b, ,101S015,10104, ,0, ,1,1,1,17V1.1,0,664.6591401,25466.21633,13288500,3,1,3721,3721,113,25425,8.302222252,8.302222252,0,8.302222252,0,938.1511145 +3721,MN,564,22,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,821 BROADWAY,C6-1, , , , , , , , , ,N,O6,5,0, ,821 BROADWAY LLC,3118,35561,34561,1000,26459,8102,0,0,0,0,2,1,11,1,11,49.17,87.17,49,87, ,3,Y,3,2,594000,5110200,0,0,1907,0,0, , ,11.41,3.44,6,6.5,1,1005640022,0,61,986649,206491,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,257.7811666,3633.57806,4516200,8,0,3722,3722,16,3600,38.11633301,38.11633301,0,38.11633301,0,609.8613281 +3722,MN,914,22,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,245 EAST 33 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,"ABART HOLDINGS, LLC",1819,3854,0,3854,0,0,0,0,0,0,2,1,3,5,5,18.33,98.75,18,58,E,3,N,5,2,16166,257400,0,0,1920,1988,0, , ,2.12,4,0,4,1,1009140022,0,70,990665,210541,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,240.2931627,1799.882919,241234,10,0,3723,3723,8,1800,17.92555618,19.09866714,1.173110962,18.31719518,0.509105571,146.5375614 +3723,MN,300,23,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,29 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,"134-24 35TH AVE, LLC",2275,9835,1846,7989,0,1846,0,0,0,0,2,1,5,7,8,26,87.5,26,76, ,3,N,5,2,147419,490090,0,0,1900,0,0, , ,4.32,3.44,6,6.5,1,1003000023,0,16,986317,200075,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,233.5235213,2351.814339,342671,13,0,3724,3724,11,2475,39.09000015,40.19844437,1.108444214,39.19076781,0.318655307,431.0984459 +3724,MN,712,36,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,61 9 AVENUE,M1-5, , , , , ,WCH, , , ,N,O6,5,0,P,G.D.C.L. HOLDINGS LLC,12281,122962,122962,0,122962,0,0,0,0,0,7,2,0,0,1,98.25,125,0,0, ,0,N,3,2,923850,1258200,0,0,0,0,0, , ,10.01,0,5,6.5,1,1007120036,0,83,982766,209463,8b, ,103 040,10302,E-350,0, ,1, , ,17V1.1,0,460.2576138,13141.75078,334350,7,0,3725,3725,57,12825,12.4989996,17.14777756,4.648777962,13.70950854,1.790048936,781.441987 +3725,MN,747,1,104,93,2000,2,3,10011,L024,10,15,5200,1,4,2A,212 9 AVENUE,R8,C2-6, , , , , , , , ,Y,D4,3,0,P,MUTUAL REDEVELOPMENT,71700,250908,37363,213545,16700,20663,0,0,0,0,2,3,21,186,197,630.67,197.5,131.5,128.33, ,0,Y,5,5,3361500,22236750,3361500,22236750,1963,0,0, , ,3.5,6.02,0,6.5,1,1007470001,0,93,984341,211082,8d,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,2163.731493,74473.57868,18875300,2,0,3726,3726,331,74475,16.00222206,21.66555595,5.663333893,18.5525392,1.401415061,6140.890476 +3726,MN,885,80,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,116 EAST 30 STREET,C4-5A, , , , , , , , , ,N,S2,4,0, ,"PARK 30, LLC",1683,3452,884,1684,0,884,0,0,0,0,2,1,3,2,3,17.83,98.75,17.83,52, ,3,Y,5,1,103987,170864,0,0,1901,0,0, , ,2.05,4,4,4,1,1008850080,0,72,989099,210347,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,240.280141,1900.251415,66877,10,0,3727,3727,9,2025,32.84000015,33.88555527,1.045555115,32.95617294,0.328586272,296.6055565 +3727,MN,436,8,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,404 EAST 9 STREET,R7A, , , ,C1-5, , , , , ,N,C0,2,0, ,"SHAFFER, GRANT L",1500,3264,0,2392,0,0,0,0,0,0,2,1,3,3,3,20,75,20,38, ,2,N,5,1,16489,54051,1550,1550,1899,0,0, , ,2.18,4,0,4,1,1004360008,0,32,988532,204451,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,198.1447022,1654.61471,37562,12,0,3728,3728,8,1800,17.84799957,20.80999947,2.961999893,18.54683304,1.213280276,148.3746643 +3728,MN,123,18,101,21,1008,2,1,10007,L010,1,15,7700,1,1,1A,22 PARK PLACE,C5-3, , , , , ,LM, , , ,N,O5,5,0, ,22 PARK PLACE LLC C/O,2106,11000,11000,0,8800,2200,0,0,0,0,2,1,5,0,5,28.08,75.25,28,75, ,3,Y,5,2,213300,1245600,0,0,1915,1984,0, , ,5.22,10,15,15,1,1001230018,0,21,981863,198935,12b, ,101S019,10104, ,0, ,1, , ,17V1.1,0,220.7441347,2417.348596,1032300,3,0,3729,3729,11,2475,25.9011116,33.42666626,7.525554657,27.23565709,2.832103897,299.5922279 +3729,MN,410,46,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,101 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ZELIKS MANAGEMENT COR,3433,20580,3400,17180,0,3400,0,0,0,0,2,1,6,25,28,34.33,100,34,97, ,2,N,3,2,90000,1570050,0,0,1910,1984,1988, , ,5.99,4,4,4,1,1004100046,0,18,987489,201536,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,280.3327659,3835.341604,1480050,13,0,3730,3730,17,3825,31.33099937,34.72000122,3.389001846,31.97462071,1.183088645,543.568552 +3730,MN,147,7501,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,145 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,MARTIN LEE JOFFE,2942,15020,5021,9999,0,5021,0,0,0,0,2,1,6,5,6,59,50,0,0, ,0,N,5,5,454048,813209,2360,2360,1915,0,0,Tribeca South Historic District, ,5.11,6.02,6,6.5,1,1001477501,225,33,982079,200467,12a, ,101S036,10104, ,1001470017,12/14/1985,1, , ,17V1.1,7,232.1259898,3352.060042,359161,14,0,3731,3731,15,3375,12.94333363,14.19333363,1.25,13.13933353,0.395743914,197.090003 +3731,MN,632,7502,102,75,1000,2,3,10014,L005,6,15,6400,2,2, ,140 PERRY STREET,C1-6A, , , , , , , , , ,N,R1,2,0, , ,6138,28569,0,25064,0,0,0,0,0,0,2,1,5,8,8,62.92,97.75,62,90, ,0,N,0,5,218261,2341790,0,0,1910,0,0,Greenwich Village Historic District Exte, ,4.65,4,2,4,1,1006327502,962,75,982053,206934,12a, ,103 011,10210, ,1006320010,4/16/1997,1, , ,17V1.1,7,326.2855136,6337.011166,2123530,9,0,3732,3732,27,6075,15.84700012,16.42000008,0.572999954,15.87825118,0.117895285,428.7127819 +3732,MN,810,45,105,109,1011,2,4,10001,E026,14,15,5200,1,5,1H,1 HERALD SQUARE,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,8612,0,0,0,0,0,0,0,0,0,7,1,0,0,0,28.25,207.75,0,0, ,0,Y,3,5,2452500,2915100,2452500,2915100,0,0,0, , ,0,0,0,0,1,1008100045,0,109,987672,212628,8d, ,105N035,10305, ,0, ,1, , ,17V1.1,0,523.9949304,9114.791378,462600,6,0,3733,3733,38,8550,47.27999878,49.36555481,2.08555603,48.47426896,0.631438928,1842.022221 +3733,MN,414,59,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,260 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,LOWER EAST SIDE TENAM,2576,17353,7500,9852,7500,0,0,0,0,0,2,2,6,14,16,46,56.5,46,56, ,3,Y,3,2,315000,1540350,220500,1078245,1900,1982,0, , ,6.74,4,4,4,1,1004140059,0,18,986932,200974,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,223.0377177,2942.725721,1225350,13,0,3734,3734,12,2700,37.73199844,37.86488724,0.132888794,37.74307251,0.036728522,452.9168701 +3734,MN,444,47,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,78 EAST 2 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,"NAUMAN , BRUCE",962,3255,0,3255,0,0,0,0,0,0,2,1,4,2,2,45.25,21.25,45.25,21.25, ,2,N,5,2,13407,74452,0,0,1899,2011,2009,East Village/Lower East Side Historic Di, ,3.38,4,0,4,1,1004440047,0,3602,987379,203180,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,140.7511787,1097.854781,61045,1,0,3735,3735,4,900,30.95777702,31.6044445,0.64666748,31.11944389,0.280015233,124.4777756 +3735,MN,567,27,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,15 EAST 9 STREET,R7-2, , , , , , , , , ,N,C0,2,0,P,MARGO FEIDEN COHEN,2307,9352,0,7836,0,0,0,0,0,0,2,1,4,3,3,25,92.25,25,91,E,3,N,5,1,167246,407808,0,0,1938,0,0,Greenwich Village Historic District, ,4.05,3.44,0,6.5,1,1005670027,0,59,985690,206186,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,236.8095856,2382.467393,240562,8,0,3736,3736,10,2250,27.86444473,30.70000076,2.83555603,28.14800034,0.850666809,281.4800034 +3736,MN,553,24,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,38 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,K1,5,0, ,"JACK'S CORNER, LLC",1350,2700,2700,0,0,2700,0,0,0,0,2,1,1,0,5,60,25,60,25, ,2,Y,3,2,328500,639900,0,0,1937,0,0,Greenwich Village Historic District, ,2,3.44,3.4,6.5,1,1005530024,0,63,984736,206301,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,168.3144028,1481.156815,311400,8,0,3737,3737,6,1350,17.50333405,20.90177727,3.398443222,18.06974125,1.26652501,108.4184475 +3737,MN,833,51,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,10 WEST 32 STREET,C6-4, , , , , , , , , ,N,K4,4,0, ,10 WEST 32 ST. REALT,2469,10881,10881,0,2200,8681,0,0,0,0,2,1,5,0,5,25,98.75,25,99, ,3,N,5,2,369000,1556100,0,0,1910,0,0, , ,4.41,10,10,10,1,1008330051,0,76,988000,211544,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,247.8652933,2388.945889,1187100,10,0,3738,3738,11,2475,41.76111221,41.76111221,0,41.76111221,0,459.3722343 +3738,MN,389,47,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,627 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"627 EQUITIES, INC.",2248,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,24.75,90.83,25,55, ,3,N,5,2,12984,57597,0,0,1910,0,0, , ,3.11,4,0,4,1,1003890047,0,2602,989757,203083,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,240.4302517,2356.971181,44613,12,1,3739,3739,9,2025,8.04777813,10.7411108,2.693332672,9.347234408,0.728215928,84.12510967 +3739,MN,462,30,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,103 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,DUE MILLA REALTY GROU,2500,12140,2428,9712,0,2428,0,0,0,0,2,1,5,16,17,25,100,25,100, ,3,N,3,2,495000,1680300,0,0,1900,2012,2012,East Village/Lower East Side Historic Di, ,4.86,4,0,4,1,1004620030,0,38,987359,204373,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,261.0630089,2827.637445,1185300,1,0,3740,3740,12,2700,35.00777817,35.00777817,0,35.00777817,0,420.093338 +3740,MN,902,18,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,225 EAST 21 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,LING DAVID R,2178,6578,2112,4466,0,2112,0,0,0,0,2,1,3,2,3,22.25,98.75,22.25,98, ,3,Y,5,5,76466,116493,1550,1550,1920,0,0, , ,3.02,4,0,4,1,1009020018,0,64,989039,207866,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,249.8153447,2267.522876,40027,5,0,3741,3741,10,2250,19.86555672,19.86555672,0,19.86555672,0,198.6555672 +3741,MN,626,27,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,50 HORATIO STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,BIRCHWOOD PROPERTIES,2616,12657,1900,10757,0,1900,0,0,0,0,2,1,6,20,23,46.83,56,47,54, ,3,Y,3,2,468000,2707200,0,0,1910,1985,0,Greenwich Village Historic District, ,4.84,3.44,2,6.5,1,1006260027,0,77,982789,208375,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,212.8202814,2817.612414,2239200,8,0,3742,3742,11,2475,17.68444443,17.68444443,0,17.68444443,0,194.5288887 +3742,MN,904,43,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,214 EAST 24 STREET,R8B,C2-8A, , , , , , , , ,Y,D3,3,0, ,"ABINGTON HOLDING, LLC",12048,57800,8236,49564,0,0,8236,0,0,0,2,1,7,71,72,122,98.75,122,98, ,3,N,5,2,1156500,7271550,0,0,1980,1980,0, , ,4.8,4,0,4,1,1009040043,0,64,989199,208526,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,444.6554043,12239.8022,6115050,11,0,3743,3743,54,12150,21.18099976,30.58111191,9.400112152,21.83226723,2.165977513,1178.942431 +3743,MN,374,34,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,55 AVENUE D,R8A, , , ,C1-5, , , , , ,N,K1,5,0,P,"RASH, LLC.",3294,3280,3280,0,0,3280,0,0,0,0,2,1,1,0,2,41.17,80,39,78, ,2,N,3,2,191250,519300,0,0,1950,0,0, , ,1,6,0,6,1,1003740034,0,2601,990437,202272,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,247.1751857,3391.229008,328050,1,1,3744,3744,15,3375,11.67399979,12.3255558,0.651556015,11.77154064,0.184947274,176.5731096 +3744,MN,9,29,101,9,1008,2,1,10004,L015,1,15,7700,1,1, ,24 STATE STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,STATE WHITEHALL CO,39985,896956,896956,0,864078,2878,30000,0,0,0,2,1,35,0,59,107.83,284.44,131,316, ,1,Y,1,2,35280000,76436100,0,0,1971,0,0, , ,22.43,10,15,15,1,1000090029,0,9,980443,195525,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,857.457739,40564.44912,41156100,17,1,3745,3745,175,39375,9.761111259,15.41666698,5.655555725,11.07573981,1.748819067,1938.254466 +3745,MN,908,27,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,481 2 AVENUE,C1-8A,R8B, , , , ,TA, , , ,Y,D3,3,0,O,NYC HOUSING AUTHORITY,14813,89282,0,89282,0,0,0,0,0,0,2,1,19,111,111,98.75,150,51,88,E,1,Y,3,2,1800000,8288550,1800000,8288550,1965,0,0, , ,6.03,7.52,2,7.5,1,1009080027,0,66,989979,209156,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,505.1541221,15274.25723,6488550,11,0,3746,3746,68,15300,32.6922226,38.03666687,5.344444275,34.86030371,1.687229708,2370.500652 +3746,MN,435,30,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,125 AVENUE A,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,132 ST. MARKS PLACELI,1727,10038,1727,8311,0,1727,0,0,0,0,2,1,6,10,11,24.67,70,25,70, ,3,N,3,2,178650,1521000,0,0,1920,1987,0, , ,5.81,4,0,4,1,1004350030,0,32,988854,204019,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,200.0197463,1971.713755,1342350,12,0,3747,3747,10,2250,18.46888924,19.54333305,1.074443817,19.02816639,0.244020384,190.2816639 +3747,MN,468,50,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,223 EAST 12 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,LUCARELLI PROPERTIESI,2581,6000,0,6000,0,0,0,0,0,0,2,1,4,5,5,25,103.25,25,58, ,3,N,5,5,152002,187664,0,0,1920,1986,0, , ,2.32,4,0,4,1,1004680050,0,40,987912,205833,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,260.7467866,2567.333607,35662,12,0,3748,3748,12,2700,29.43199921,30.67000008,1.23800087,29.84251817,0.497527464,358.110218 +3748,MN,766,13,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,251 WEST 16 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,GIOVANNA 251 LLC,1360,2736,0,2346,0,0,0,0,0,0,2,1,3,1,1,17,80,17,46, ,3,N,5,1,34397,108727,0,0,1910,0,0, , ,2.01,4,0,4,1,1007660013,0,81,984085,209202,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,198.1333366,1322.860332,74330,7,0,3749,3749,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +3749,MN,375,42,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,63 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,63 AVE. D. LLC,2610,11688,800,10888,0,800,0,0,0,0,2,1,6,16,18,31.67,82.25,30,68, ,2,N,5,2,216900,1003500,0,0,1900,1986,0, , ,4.48,6,0,6,1,1003750042,0,2601,990494,202380,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,230.5152187,2554.593295,786600,1,1,3750,3750,12,2700,9.704999924,9.704999924,0,9.704999924,0,116.4599991 +3750,MN,459,35,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,53 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,EAST VILLAGE REALTY C,2400,13464,2200,11264,0,2200,0,0,0,0,2,1,6,20,24,24,100,24,98, ,3,N,3,2,395550,1603800,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,5.61,4,0,4,1,1004590035,0,38,986991,203708,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,255.9615443,2668.591455,1208250,1,0,3751,3751,13,2925,35.86666489,35.86666489,0,35.86666489,0,466.2666435 +3751,MN,498,21,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,535 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0,P,535 BROADWAY GROUP LL,2500,11875,2400,9475,0,2400,0,0,0,0,2,1,5,4,7,25,100,25,94, ,3,N,5,2,1687500,4271400,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.75,0,5,6.5,1,1004980021,0,49,984555,202814,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,256.1643867,2614.275506,2583900,0,0,3752,3752,12,2700,29.75499916,29.75499916,0,29.75499916,0,357.0599899 +3752,MN,434,20,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,112 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,110-112 EAST SEVENTHS,2271,8500,0,8500,0,0,0,0,0,0,2,1,5,20,20,25,90.83,25,79, ,3,N,5,2,303300,1222650,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,3.74,4,0,4,1,1004340020,0,32,988490,203891,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,233.3440738,2181.389288,919350,12,0,3753,3753,9,2025,18.26222229,20.93266678,2.670444489,18.55893834,0.839239736,167.0304451 +3753,MN,451,1,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,146 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0,P,"269 ASSOCIATES, LLC",9412,37353,7200,30153,0,7200,0,0,0,0,2,5,5,52,68,74.75,125,26,86, ,0,N,3,2,1467000,5208300,0,0,1900,2001,2001, , ,3.97,4,0,4,1,1004510001,0,40,987913,204945,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,418.7276003,10328.30542,3741300,12,0,3754,3754,45,10125,23.10400009,32.57110977,9.46710968,24.26171875,2.108361037,1091.777344 +3754,MN,603,49,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,633 GREENWICH STREET,M1-5, , , , , , , , , ,N,W1,8,0,O,NEW YORK YORK CITY SC,21875,153125,153125,0,0,0,0,0,0,153125,2,1,7,0,4,100.58,172.5,100.42,176.5, ,1,Y,3,2,3969000,7960500,3969000,7960500,1920,2015,0, , ,7,0,5,6.5,1,1006030049,0,69,982166,205690,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,746.4037837,22148.96918,3991500,9,0,3755,3755,98,22050,15.32666683,16.04333305,0.716666222,15.33633802,0.075448079,1502.961126 +3755,MN,398,33,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,28 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"MK AVEB, LLC",1933,8699,800,7899,0,800,0,0,0,0,2,1,5,16,17,24.17,80,24,70, ,2,N,5,2,256500,892800,0,0,1900,0,0, , ,4.5,4,0,4,1,1003980033,0,3002,988856,202498,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,217.2439505,2095.700428,636300,1,0,3756,3756,10,2250,20.40699959,20.69333267,0.286333084,20.4356329,0.085899925,204.356329 +3756,MN,766,22,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,C5,2,0, ,"TRINITY COURT, LLC",2017,5304,0,5304,0,0,0,0,0,0,2,1,4,8,8,20.17,100,20,70, ,3,N,5,1,77711,360895,0,0,1910,1988,0, , ,2.63,4,0,4,1,1007660022,0,81,984242,209124,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.2047353,1951.884812,283184,7,0,3757,3757,9,2025,21.88888931,24.61777687,2.728887558,22.249531,0.852671507,200.245779 +3757,MN,532,24,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,645 BROADWAY,C6-2, , , , , , , , , ,N,L8,6,0, ,645-47 BROADWAY REALT,1916,8525,5725,2800,0,1700,0,4025,0,0,2,1,5,4,7,25.5,75,25.5,66, ,3,N,5,2,175050,1639800,0,0,1900,0,0,NoHo Historic District, ,4.45,6.02,6,6.5,1,1005320024,0,5501,985375,204071,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,208.9508561,2054.729568,1464750,9,0,3758,3758,9,2025,35.57088852,35.57088852,0,35.57088852,0,320.1379967 +3758,MN,771,56,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,232 WEST 22 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,"DEASON, GEORGE TIMOTH",2112,5016,0,5016,0,0,0,0,0,0,2,1,4,2,2,22,96,22,56, ,3,N,5,2,80932,170857,0,0,1901,0,0, , ,2.38,4,0,4,1,1007710056,0,87,984968,210236,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,239.0731986,2138.041232,89925,7,0,3759,3759,10,2250,22.72999954,25.53999901,2.809999466,23.28722172,1.114495556,232.8722172 +3759,MN,349,32,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,158 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,112 FULTON LLC,3200,6804,1334,5470,0,1334,0,0,0,0,2,1,6,9,10,23,100,23,40, ,0,N,5,5,297900,1116900,0,0,1900,2011,2008, , ,2.13,4,0,4,1,1003490032,0,3001,988333,201358,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,255.1944353,2443.426544,819000,13,0,3760,3760,12,2700,24.4422226,28.11888886,3.67666626,27.15574106,1.326448874,325.8688927 +3760,MN,463,19,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,20 ST MARKS PLACE,R8B, , , , , , , , , ,N,S9,4,0, ,ST MARKS BROS INC,3120,6162,2054,4108,0,2054,0,0,0,0,2,1,3,5,7,26,120,26,79, ,3,N,5,1,125525,304952,0,0,1900,0,0, ,DANIEL LEROY HOUSE,1.98,4,0,4,1,1004630019,0,38,987304,204823,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,295.112092,3093.659509,179427,12,0,3761,3761,13,2925,34.15777969,35.40555573,1.247776031,34.25376247,0.332494074,445.298912 +3761,MN,569,26,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,84 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,L8,6,0, ,M&S PROPERTY ASSOCIAT,2302,14897,14897,0,0,1925,0,12972,0,0,2,1,7,0,1,24,96.83,24,90, ,3,N,5,2,206550,1548450,0,0,1900,0,0, , ,6.47,6.02,2,6.5,1,1005690026,0,61,986077,206560,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,254.2748194,2468.20702,1341900,8,0,3762,3762,12,2700,34.37900162,35.00366974,0.624668121,34.43105729,0.172649148,413.1726875 +3762,MN,402,57,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,515 EAST 6 STREET,R7B, , , , , , , , , ,N,D9,3,0, ,DOR REALTY LLC,4502,16960,0,16960,0,0,0,0,0,0,2,1,5,39,39,53,84.83,53,74,E,3,N,5,2,416250,1773000,0,0,1923,0,0, , ,3.77,3,0,3,1,1004020057,0,32,988982,203508,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,278.0494141,4565.945046,1356750,1,0,3763,3763,20,4500,12.85000038,17.29444504,4.444444656,13.54311152,1.446656033,270.8622303 +3763,MN,404,48,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,315 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,315 EAST 10TH STREET,2369,9348,0,9348,0,0,0,0,0,0,2,1,6,12,12,25,94.75,25,84, ,3,N,5,1,114300,1866150,0,0,1920,1989,2011,East 10th Street Historic District, ,3.95,4,0,4,1,1004040048,0,34,989496,204360,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,243.5694792,2360.323914,1751850,12,0,3764,3764,9,2025,12.53199959,15.18666649,2.654666901,12.82696258,0.834281319,115.4426632 +3764,MN,576,63,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,41 WEST 12 STREET,R6, , , , , , , , , ,N,S1,4,0,P,"41 WEST 12TH STREET,L",800,3075,615,2460,0,615,0,0,0,0,2,1,4,1,2,15.17,52.75,15.17,41, ,3,N,5,2,97044,198319,0,0,1901,0,0,Greenwich Village Historic District, ,3.84,2.43,0,4.8,1,1005760063,0,63,985332,207232,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,136.7223128,805.0933795,101275,8,0,3765,3765,4,900,23.70299912,23.70299912,0,23.70299912,0,94.81199646 +3765,MN,444,11,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,46 EAST 3 STREET,C6-2A, , , , , , , , , ,N,C3,2,0, ,46 EAST 3RD ST CORP,1000,4200,2100,2100,0,0,0,0,0,2100,2,1,3,4,4,20,50,20,35,E,0,N,5,5,68767,102295,0,0,1800,0,0,East Village/Lower East Side Historic Di, ,4.2,6.02,6,6.5,1,1004440011,0,3602,987136,203521,12c, ,102 010,10205, ,0, ,1, , 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LLC,2188,8150,1500,6650,0,1500,0,0,0,0,2,1,5,17,18,25,87.5,25,54, ,3,N,5,1,20250,1345950,0,0,1910,2013,0, , ,3.72,4,4,4,1,1004120033,0,3001,987618,202170,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,230.7572565,2259.435095,1325700,1,0,3770,3770,10,2250,31.02499962,35.15999985,4.135000229,32.40394402,1.610706701,324.0394402 +3770,MN,626,56,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,55 JANE STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,SWEET OSCAR LLC,901,2508,0,1881,0,0,0,0,0,0,2,1,2,1,1,19,49.5,19,38,E,3,Y,5,1,38432,168852,0,0,1899,2010,0,Greenwich Village Historic District, ,2.78,3.44,2,6.5,1,1006260056,0,77,982818,208247,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,141.7224209,974.8082518,130420,8,0,3771,3771,3,675,17.68444443,17.90888786,0.224443436,17.75925891,0.10580365,53.27777672 +3771,MN,911,65,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,441 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0, ,"R&R ASSETS, LLC",1900,5450,920,4530,0,920,0,0,0,0,2,2,4,7,8,19.25,100,19,68, ,0,N,5,0,118720,616356,0,0,1890,0,0, , ,2.87,10,2,10,1,1009110065,0,70,989955,210120,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,245.160664,2052.738401,497636,10,0,3772,3772,9,2025,29.22888947,30.29755592,1.068666458,29.34763018,0.335849466,264.1286716 +3772,MN,753,78,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,342 9 AVENUE,C6-2A, , , , , , , , , ,N,D6,4,0,P,350 9TH AVENUE REALTY,7461,46000,4460,41540,0,3000,0,0,0,1460,2,1,13,60,63,98.17,76,52,65, ,0,Y,5,5,428400,6410250,0,0,1940,1982,0, , ,6.17,6.02,6,6.5,1,1007530078,0,97,984800,212730,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,358.659268,7970.041844,5981850,6,0,3773,3773,35,7875,28.20800018,39.00666809,10.79866791,33.47965001,3.145800663,1171.78775 +3773,MN,540,7,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,116 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"MACDOUGAL ASSOCIATES,",2500,9950,1900,8050,0,1900,0,0,0,0,2,1,5,18,20,25,100,25,82, ,3,N,5,2,167400,1715850,0,0,1900,0,0,South Village Historic District, ,3.98,3.44,0,6.5,1,1005400007,0,65,984126,205117,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,256.3043553,2578.808433,1548450,9,0,3774,3774,11,2475,22.5755558,22.5755558,0,22.5755558,0,248.3311138 +3774,MN,877,60,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,134 EAST 22 STREET,R9A, , , , , , , , , ,N,D6,4,0, ,134 EAST 22ND ST ASSO,8393,57538,8525,49013,8525,0,0,0,0,0,2,1,6,84,96,85,98.75,85,66,E,2,N,5,2,1746000,7489800,0,0,1977,0,0, , ,6.86,7.52,0,7.52,1,1008770060,0,68,988465,208298,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,373.2393032,8628.262229,5743800,11,0,3775,3775,40,9000,22.27111053,22.27111053,0,22.27111053,0,890.8444214 +3775,MN,518,38,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,140 SULLIVAN STREET,R7-2, , , , , , , , , ,N,D0,3,0, ,140 SULLIVAN ST COOPE,6875,26526,0,26526,0,0,0,0,0,0,2,4,3,8,8,50,125,25,38, ,0,Y,5,2,309126,1126502,0,0,1900,2015,0,Sullivan-Thompson Historic District, ,3.86,3.44,0,6.5,1,1005180038,0,49,983613,204153,12a, ,101N068,10206, ,0, ,1, , 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,0,N,5,2,726750,2739150,726750,2739150,1961,2008,2008, , ,1.33,6,0,6,1,1009230022,0,48,989258,206624,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,349.7439928,7544.367263,2012400,5,0,3787,3787,33,7425,14.83555603,18.17222214,3.336666107,16.11888862,0.441078902,531.9233246 +3787,MN,585,49,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,500 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,HUDSON 500 LLC,1717,5448,1287,4161,0,1287,0,0,0,0,2,1,4,9,10,17.92,54.75,18,55,E,2,Y,3,2,174713,616847,0,0,1920,1986,2005,Greenwich Village Historic District, ,3.17,3.44,2,6.5,1,1005850049,0,73,982548,206328,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,191.8912537,1740.897436,442134,9,0,3788,3788,7,1575,20.9109993,21.25566673,0.344667435,20.9739042,0.119671339,146.8173294 +3788,MN,162,44,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,4 DOYERS STREET,C6-1, , , , , , , , , ,N,O1,5,0, ,"CPOST, LLC, C/O ESTH",3298,3298,3298,0,3298,0,0,0,0,0,2,1,1,0,1,64,63.83,61,46, ,2,N,5,0,209700,777150,0,0,1977,1989,0, , 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,17V1.1,0,248.8338424,2427.451051,155960,9,0,3791,3791,11,2475,16.16111183,19.65888977,3.497777939,16.96649551,1.33067844,186.6314507 +3791,MN,771,174,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,266 WEST 22 STREET,C1-6A, , , , , , , , , ,N,S3,4,0,P,"TURK MANAGEMENT, LTD.",635,2467,616,1851,0,616,0,0,0,0,2,1,4,3,4,24.67,25.75,24.67,25, ,3,N,5,5,104926,243428,0,0,1900,0,0, , ,3.89,4,2,4,1,1007710174,0,87,984635,210462,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,101.4709786,640.6712928,138502,7,0,3792,3792,2,450,21.99111176,21.99111176,0,21.99111176,0,43.98222351 +3792,MN,694,61,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,552 WEST 23 STREET,C6-3A,M1-5, , , , ,WCH, , , ,Y,G1,10,0, ,U-HAUL INTNL INC,5900,5900,5900,0,0,0,5900,0,0,0,2,1,1,0,1,50,118.75,50,118, ,0,N,5,5,371700,697950,0,0,1956,1957,0, , ,1,7.52,6,7.5,1,1006940061,0,99,982429,211925,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,339.5746638,6042.739671,326250,2,1,3793,3793,27,6075,6.936999798,7.872222424,0.935222626,6.998431912,0.219098982,188.9576616 +3793,MN,576,60,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,35 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,35 WEST 12TH STREET P,983,2184,0,1638,0,0,0,0,0,0,2,1,4,1,1,13.5,72.83,13.5,50, ,3,N,5,1,50915,151923,0,0,1901,0,0,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1005760060,0,63,985393,207208,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,170.1745848,1006.50407,101008,8,0,3794,3794,5,1125,23.70299912,26.16777802,2.4647789,24.27002182,0.959657128,121.3501091 +3794,MN,528,7502,102,67,2003,2,3,10014,E024,6,15,6400,1,2, ,3 BEDFORD STREET,R6, , , , , , , , , ,N,R4,3,0, ,BEDFORD PARK CONDOMIN,7255,12510,0,12510,0,0,0,0,0,0,2,1,7,12,12,147.17,148.5,0,0, ,0,Y,5,5,288002,1549351,9440,9440,1986,0,0, , ,1.72,2.43,0,4.8,1,1005287502,495,67,983265,204799,12a, ,103 003,10206, ,1005280045,2/8/1988,1, , ,17V1.1,7,426.7771533,7620.770073,1261350,9,0,3795,3795,34,7650,15.38333321,18.53111076,3.147777557,16.18215679,1.235280074,550.1933308 +3795,MN,282,26,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,103 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,I C Y REALTY CORP,1738,9897,9897,0,0,1740,0,0,0,8157,2,1,6,0,5,23.17,75,23,75, ,3,N,5,2,177300,1066950,0,0,1915,0,0, , ,5.69,3.44,6,6.5,1,1002820026,0,8,986143,199260,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,205.9432948,1804.318223,889650,16,0,3796,3796,9,2025,34.88000107,35.64266586,0.762664795,34.9647416,0.239682421,314.6826744 +3796,MN,923,50,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,326 EAST 18 STREET,R7B, , , , , , , , , ,N,S1,4,0, ,"MANAS, JEAN E.",1932,3087,1029,2058,1029,0,0,0,0,0,2,1,2,1,2,21,92,21,33,E,2,N,5,1,121716,156410,0,0,1901,0,0, ,326 EAST 18TH STREET HOUSE,1.6,3,0,3,1,1009230050,0,48,989230,206749,12c, ,102 037,10309, ,0, ,1, , 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,17V1.1,0,202.5502326,1596.15252,215344,8,0,3799,3799,6,1350,22.30444527,23.98333359,1.678888321,22.77009328,0.625095297,136.6205597 +3799,MN,107,46,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,269 WATER STREET,C6-2A, , , , , ,LM, , , ,N,G1,10,0,P,VJHC HOLDING CORP.,1991,1991,1991,0,0,0,0,0,0,1991,2,1,1,0,1,24,82.17,24,82, ,2,Y,5,0,143550,234900,0,0,1950,0,0,South Street Seaport Historic District, ,1,6.02,6,6.5,1,1001070046,0,1501,983918,197374,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,214.5744242,2074.135905,91350,4,1,3800,3800,9,2025,6.215000153,6.215000153,0,6.215000153,0,55.93500137 +3800,MN,438,22,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,428 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0,O,FABRIA HOUSES ASSOCIA,2369,8325,0,8325,0,0,0,0,0,0,2,1,6,17,17,25,94.75,25,54, ,3,N,5,2,135000,240750,135000,240750,1910,1983,2007, , ,3.51,4,0,4,1,1004380022,0,34,989044,204723,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,247.3679719,2482.131775,105750,12,0,3801,3801,11,2475,17.63888931,18.92000008,1.281110764,18.07565672,0.579706703,198.8322239 +3801,MN,425,28,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,173 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,S9,4,0, ,"ACMOS ON CHRYSTIE, LL",4346,5242,1700,3542,0,1700,0,0,0,0,2,4,3,3,5,38.5,117.58,38.5,46, ,0,Y,5,5,261192,380432,0,0,1900,0,0, , ,1.21,7.52,6,7.5,1,1004250028,0,18,986254,201950,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,318.1456428,4511.281848,119240,13,0,3802,3802,19,4275,38.80888748,38.80888748,0,38.80888748,0,737.3688622 +3802,MN,434,3,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,104 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,K5,5,0, ,FRANCHISE REALTY INTR,2975,2970,2970,0,0,2970,0,0,0,0,2,1,1,0,1,42.5,70,43,69, ,3,N,5,2,360000,849150,0,0,1977,0,0, , ,1,4,0,4,1,1004340003,0,32,988197,203962,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,226.0842682,2971.994931,489150,1,0,3803,3803,13,2925,20.12299919,24.23844528,4.115446091,20.69881982,1.358304693,269.0846577 +3803,MN,826,17,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,37 WEST 24 STREET,M1-6, , , , , , , , , ,N,HB,5,0, ,FORTUNA 37 WEST 24TH,4115,44876,0,0,0,0,0,0,0,0,2,1,17,0,1,41.67,98.75,42,63, ,0,N,5,5,2777400,14860350,0,0,2006,0,0, , ,10.91,0,10,10,1,1008260017,0,58,986725,210075,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,277.2024308,3926.359111,12083000,2,0,3804,3804,18,4050,33.45800018,36.41888809,2.960887909,34.09592628,1.158932366,613.7266731 +3804,MN,411,33,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,98 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,DDCM 133 LUDLOW LLC,1650,4300,1650,2650,0,1650,0,0,0,0,2,1,3,5,6,25,66,25,65, ,0,N,3,5,161877,423578,0,0,1994,2014,0, , ,2.61,4,4,4,1,1004110033,0,3001,987463,201686,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,192.3154649,1865.099017,261701,13,0,3805,3805,8,1800,31.68099976,31.68099976,0,31.68099976,0,253.447998 +3805,MN,180,126,101,39,4006,2,1,10013,E007,1,15,7700,1,1,3A,15 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0, ,FIERBERG ANDREW,2134,6600,1800,3900,1800,0,0,0,0,0,2,1,4,2,3,20.43,96.17,20.44,90, ,3,Y,5,4,51629,128722,1550,1550,1900,1992,2007,Tribeca West Historic District, ,3.09,6.02,6,6.5,1,1001800126,0,39,981525,201051,12a, ,101S037,10105, ,1001800026,11/9/1992,1, , ,17V1.1,0,247.6831391,2270.631037,77093,14,0,3806,3806,8,1800,15.85299969,15.85299969,0,15.85299969,0,126.8239975 +3806,MN,592,15,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,108 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,C0,2,0,P,THE ROBIN GREEN TRUST,1575,3528,0,2646,0,0,0,0,0,0,2,1,3,3,3,21,75,21,42, ,3,Y,5,1,49742,169204,0,0,1899,0,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1005920015,0,71,983938,206108,12a,Y,103 005,10208, ,0, ,1, , 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,17V1.1,0,259.474241,2583.300307,1017450,7,0,3809,3809,11,2475,22.05333328,24.41777802,2.364444733,22.2682828,0.679730069,244.9511108 +3809,MN,551,22,102,63,5000,2,1,10011,E033,6,15,5700,1,2,3A,24 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S5,4,0, ,JEN CO. .,1115,5276,900,4376,0,900,0,0,0,0,2,1,4,5,6,24.33,45.83,24,45, ,3,N,5,5,241679,663000,0,0,1900,0,0,Greenwich Village Historic District, ,4.73,3.44,3.4,6.5,1,1005510022,0,63,984875,206211,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,145.0496224,1192.761525,421321,8,0,3810,3810,6,1350,22.1970005,22.78777695,0.590776443,22.29546324,0.220169381,133.7727795 +3810,MN,450,15,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,320 EAST 9 STREET,R8B, , , , , , , , , ,N,D6,4,0, ,992 SA/320,2254,12196,800,11396,800,0,0,0,0,0,2,1,7,22,23,25,90.17,25,73, ,3,N,5,2,418050,1676700,0,0,1988,0,0, , ,5.41,4,0,4,1,1004500015,0,38,988002,204738,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,238.3624629,2372.328014,1258650,12,0,3811,3811,12,2700,25.4810009,29.74777794,4.266777039,26.13418595,1.46744639,313.6102314 +3811,MN,217,7502,101,39,1018,2,1,10013,L008,1,15,7700,3,1, ,408 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,408-410 GREENWICH STR,4329,32623,17656,14967,13865,3791,0,0,0,0,2,1,9,4,9,53.5,81.17,53.5,81.17, ,1,Y,3,5,330298,4928399,0,1548784,2007,0,0,Tribeca North Historic District, ,7.54,6.02,6,6.5,1,1002177502,1862,39,981445,202193,12a, ,11N 039,10105, ,1002170023,8/4/2008,1, ,1,17V1.1,7,276.5996825,4553.594865,4598100,14,1,3812,3812,22,4950,7.73111105,12.27222252,4.541111469,9.372272687,1.990596098,206.1899991 +3812,MN,467,7501,103,40,2000,1,2,10003,L003,9,14,6200,4,3, ,235 EAST 11 STREET,R8B, , , , , , , , , ,N,RM,4,0,P,235 EAST 11 STREET CO,11200,29182,23402,5780,0,0,0,0,0,23402,2,1,5,9,10,112,100,0,100, ,0,Y,5,5,491400,2485152,474068,1611111,1926,0,0, , ,2.61,4,0,4,1,1004677501,47,40,987869,205549,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,7,442.004737,11765.04566,1993750,12,0,3813,3813,53,11925,28.52666664,33.82222366,5.295557022,28.99018874,1.362140936,1536.480003 +3813,MN,405,10,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,504 EAST 12 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C7,4,0,P,VILLAGE KF 504 EAST 1,3872,15428,2500,12928,0,2500,0,0,0,0,2,1,6,28,30,37.5,103.25,38,89, ,3,N,5,2,270000,2524950,0,0,1930,1987,0, , ,3.98,4,0,4,1,1004050010,0,34,989522,204758,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,288.818906,4035.080469,2254950,12,0,3814,3814,17,3825,13.81444454,16.05666733,2.242222786,14.10237267,0.677128779,239.7403355 +3814,MN,310,9,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,52 LUDLOW STREET,C6-2, , , , , , , , , ,N,C1,2,0, ,KLF HOLDING CORP,1760,7040,0,7040,0,0,0,0,0,0,2,1,4,10,10,20,87.5,20,88,E,3,Y,5,1,54761,211718,0,0,1910,0,0, , ,4,6.02,6,6.5,1,1003100009,0,16,987030,200290,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,221.341431,1813.389793,156957,13,0,3815,3815,9,2025,34.98799896,37.88666534,2.898666382,35.310073,0.910962958,317.790657 +3815,MN,627,19,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,49 HORATIO STREET,C1-6,R6, , , , , , , , ,Y,C0,2,0, ,VARGAS MANUEL D,936,2480,0,1984,0,0,0,0,0,0,2,1,4,3,3,16,58.5,16,42, ,3,N,5,1,34491,130472,0,0,1899,0,0,Greenwich Village Historic District, ,2.65,3.44,2,6.5,1,1006270019,0,79,982586,208479,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,149.6123413,914.2976054,95981,8,0,3816,3816,4,900,14.72666645,14.72666645,0,14.72666645,0,58.9066658 +3816,MN,389,7,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,105 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,105 AVENUE B LLC,2604,12074,2000,10074,0,2000,0,0,0,0,2,1,6,12,14,28,93,28,78, ,3,N,5,0,201600,1224000,0,0,1900,1989,0, , ,4.64,4,0,4,1,1003890007,0,2602,989486,203336,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,242.4706459,2591.418141,1022400,12,1,3817,3817,12,2700,9.168999672,12.97222233,3.803222656,9.485934893,1.051155212,113.8312187 +3817,MN,528,36,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,38 DOWNING STREET,R6, , , , , , , , , ,N,C6,2,0,P,38 DOWNING STREET HDF,1087,8375,0,8375,0,0,0,0,0,0,2,1,5,20,20,41.83,67,25,67, ,3,Y,5,0,123750,572850,123750,372450,1900,0,0,Greenwich Village Historic District Exte, ,7.7,2.43,0,4.8,1,1005280036,0,67,983166,204886,12a, ,103 003,10206, ,1005280035,12/12/1994,1, , ,17V1.1,0,281.633194,2849.835941,449100,9,0,3818,3818,13,2925,15.38333321,15.79399967,0.410666466,15.63326476,0.185814258,203.2324419 +3818,MN,402,25,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,162 EAST 7 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,PETER HERRICK,2271,6794,0,6794,0,0,0,0,0,0,2,1,5,14,14,25,90.83,25,53, ,3,N,5,2,156600,720000,0,0,1900,0,0, , ,2.99,3,0,3,1,1004020025,0,32,989195,203501,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,234.8016251,2289.313819,563400,12,0,3819,3819,10,2250,12.85000038,13.95888901,1.108888626,13.05686684,0.375388265,130.5686684 +3819,MN,457,5,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,313 BOWERY,C6-1,R8B, , ,C2-5, , , , , ,Y,N9,8,0, ,"G F ASSOCIATES 1, LP",8168,32358,32358,0,0,8262,0,0,0,24096,2,1,4,0,3,50.92,166,51,162,E,3,Y,5,2,661500,2716200,0,0,1920,1985,2003, , ,3.96,3.44,6,6.5,1,1004570005,0,3602,986541,203449,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,435.8469674,8475.536226,2054700,1,0,3820,3820,37,8325,41.87900162,44.97999954,3.100997925,41.99261114,0.516021417,1553.726612 +3820,MN,396,10,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,604 EAST 14 STREET,R7-2,C1-6A, , ,C1-5,C2-5, , , , ,Y,D6,4,0,O,NYC CITY HSG AUTRHORI,85511,423836,7128,416708,0,0,0,0,0,7128,2,2,17,616,618,250,207,130,55, ,2,Y,4,0,9000000,46499400,9000000,46499400,1980,1981,0, , ,4.96,3.44,0,6.5,1,1003960010,0,28,990456,204791,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,1619.78879,85220.78298,37499400,12,1,3821,3821,377,84825,6.340000153,12.18222237,5.842222214,8.599069672,1.204016383,3241.849267 +3821,MN,415,25,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,139 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,ALLEN GRACE CORP.,2800,12906,1500,11406,0,1500,0,0,0,0,2,1,6,22,24,40,70,40,58, ,3,N,5,2,55350,469800,0,0,1910,1968,0, , ,4.61,4,4,4,1,1004150025,0,18,986965,201711,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,224.2277606,2893.893013,414450,13,0,3822,3822,13,2925,37.10666656,37.10666656,0,37.10666656,0,482.3866653 +3822,MN,280,28,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,65 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,FAY CHOW MERCHANTS IN,1875,8745,8745,0,6945,1800,0,0,0,0,2,1,5,0,5,25,75,25,75,E,3,N,5,2,158400,804600,0,0,1900,2001,0, , ,4.66,3.44,6,6.5,1,1002800028,0,8,985635,199203,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,205.9419695,1933.976389,646200,16,0,3823,3823,10,2250,29.04899979,37.55555725,8.506557465,29.89965553,2.551967239,298.9965553 +3823,MN,545,13,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,722 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,722 OWNERS CORPORATIO,3151,22500,1200,21300,0,1200,0,0,0,0,2,1,9,9,10,23,137.5,23,135,E,3,N,5,2,343280,1808550,9440,9440,1900,1984,0,NoHo Historic District, ,7.14,0,5,6.5,1,1005450013,0,57,986116,204886,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,333.6412861,3330.89142,1465270,9,0,3824,3824,15,3375,38.29555511,42.0644455,3.768890381,38.54681447,0.940126436,578.2022171 +3824,MN,568,34,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,3 EAST 10 STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,"COOPER, JUDSON",2321,8300,705,7595,705,0,0,0,0,0,2,1,4,13,13,24.5,94.75,25,62, ,3,N,5,2,77400,1003050,0,0,1900,0,0,Greenwich Village Historic District, ,3.58,3.44,0,6.5,1,1005680034,0,61,985700,206463,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,247.1831853,2395.787546,925650,8,0,3825,3825,12,2700,29.93888855,34.46777725,4.528888702,30.66629601,1.627917382,367.9955521 +3825,MN,568,6,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,41 5 AVENUE,R10,R7-2, , , , , , , , ,Y,D4,3,0, ,41 FIFTH OWNERS CORP,7650,95117,1417,93700,1417,0,0,0,0,0,2,1,15,88,92,54.17,141.83,54,130, ,2,N,3,2,1260000,8683200,44840,44840,1924,1988,0,Greenwich Village Historic District, ,12.43,10,0,10,1,1005680006,0,61,985697,206599,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,394.9622736,7937.510415,7423200,8,0,3826,3826,36,8100,29.93888855,33.04000092,3.101112366,30.25757694,0.821359169,1089.27277 +3826,MN,754,5,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,360 9 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,30TH STREET & 9TH AVE,1842,4615,1843,2772,0,1843,0,0,0,0,2,1,4,3,4,18.44,100,18,58,E,3,N,5,5,107057,352391,0,0,1901,0,0, , ,2.51,6.02,6,6.5,1,1007540005,0,103,984908,212892,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,240.5365123,1989.249956,245334,6,0,3827,3827,9,2025,33.70700073,39.04111099,5.33411026,34.29967965,1.676349127,308.6971169 +3827,MN,553,7502,102,63,5001,2,1,10011,E033,6,15,5700,2,2, ,171 MAC DOUGAL STREET,R6,C4-5, , , , ,LC, , , ,Y,RM,4,0, , ,5710,33846,10567,2251,0,0,0,0,0,10567,2,1,6,8,9,50.83,116.25,50.84,116, ,0,Y,1,5,456062,3612691,124532,1045879,1900,1967,2007,Greenwich Village Historic District, ,5.93,2.43,0,4.8,1,1005537502,1646,63,984652,206222,12c, ,103 018,10207, ,1005530028,10/24/2013,1, , ,17V1.1,7,336.2852507,5237.452522,3156630,8,0,3828,3828,23,5175,17.50333405,17.50333405,0,17.50333405,0,402.576683 +3828,MN,774,14,104,91,2002,2,3,10011,E001,10,15,5200,1,4,2A,243 WEST 24 STREET,R8A, , , , , , , , , ,N,M1,8,0,X,SIVANANDA YOGA VEDANT,1760,4000,4000,0,4000,0,0,0,0,0,2,1,4,0,2,20,88,20,50,E,3,N,5,1,234450,391950,234450,391950,1920,0,0, , ,2.27,6,0,6,1,1007740014,0,91,985120,210959,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,218.5792133,1716.581635,157500,2,0,3829,3829,7,1575,24.85199928,27.26222229,2.410223007,25.43761853,0.945789467,178.0633297 +3829,MN,345,25,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,151 RIDGE STREET,R7A, , , , , , , , , ,N,C7,4,0, ,SIDE KICKS RIDGE ASSO,2500,7000,500,6500,0,500,0,0,0,0,2,1,5,10,12,25,100,25,54, ,3,N,5,1,90000,622350,0,0,1900,1988,0, , ,2.8,4,0,4,1,1003450025,0,2201,989016,201693,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,252.8627792,2495.806613,532350,1,0,3830,3830,12,2700,18.41222191,18.41222191,0,18.41222191,0,220.9466629 +3830,MN,174,27,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,75 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,75 FRANKLIN DEVELOPME,1444,4400,2200,2200,0,1100,0,1100,0,0,2,1,3,2,3,18.67,75.67,19,71,E,3,Y,5,2,68850,425700,0,0,1915,1989,0,Tribeca East Historic District, ,3.05,6.02,6,6.5,1,1001740027,0,33,983012,200747,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,200.8078645,1608.24147,356850,14,0,3831,3831,7,1575,21.5755558,21.5755558,0,21.5755558,0,151.0288906 +3831,MN,774,15,104,91,2002,2,3,10011,E001,10,15,5200,1,4,2A,241 WEST 24 STREET,R8A, , , , , , , , , ,N,C1,2,0, ,241 WEST 24TH STREETA,1760,3420,0,3420,0,0,0,0,0,0,2,1,3,8,8,20,88,20,49,E,3,N,5,1,68949,322299,0,0,1920,1978,0, , ,1.94,6,0,6,1,1007740015,0,91,985136,210950,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,216.7486498,1633.96221,253350,2,0,3832,3832,7,1575,24.85199928,26.95777702,2.10577774,25.30139623,0.765524886,177.1097736 +3832,MN,810,40,105,109,1006,2,3,10001,E026,14,15,5200,1,5,1H,1313 BROADWAY,C5-2, , , , , , , , , ,N,K4,4,0,P,ROCKAWAY COMPANY,1092,6000,6000,0,0,6000,0,0,0,0,2,1,5,0,3,31.83,50.5,31.83,50.5, ,0,Y,3,2,1251000,15372900,0,0,1930,0,0, , ,5.49,10,10,10,1,1008100040,0,109,987539,212570,8d, ,105N035,10305, ,0, ,1, , ,17V1.1,0,153.5745517,1279.025129,14121900,6,0,3833,3833,6,1350,43.36700058,46.66888809,3.301887512,43.91731517,1.230540822,263.503891 +3833,MN,475,9,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,355 WEST BROADWAY,M1-5A, , , , , , , , , ,N,S2,4,0, ,BH QUALITY SOHO LLC,2192,5447,2000,3447,0,2000,0,0,0,0,2,1,3.5,2,3,21.92,100,22,100,E,3,N,5,2,56846,139791,0,0,1900,1961,2016,SoHo-Cast Iron Historic District, ,2.48,0,5,6.5,1,1004750009,0,47,983414,202628,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,248.7508789,2237.842103,82945,0,1,3834,3834,10,2250,9.686666489,9.686666489,0,9.686666489,0,96.86666489 +3834,MN,496,32,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,240 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,"WEISSMAN , IRA",1477,5545,885,4660,0,885,0,0,0,0,2,1,5,4,5,22.67,71.83,23,66, ,2,N,5,5,206482,281837,0,0,1900,1984,2012,SoHo-Cast Iron Historic District Extensi, ,3.75,0,5,6.5,1,1004960032,0,43,985025,202602,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,189.3973217,1562.512373,75355,0,0,3835,3835,7,1575,34.36800003,34.36800003,0,34.36800003,0,240.5760002 +3835,MN,858,8,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,7 EAST 28 STREET,C5-2, , , , , , , , , ,N,D8,3,0,P,"GATEWAY BELVEDERE, LL",21181,407555,18609,388946,0,0,14848,0,0,3761,2,1,48,404,406,114.5,197.5,114,69, ,0,Y,4,5,13140000,50978250,0,0,1998,2013,0, , ,19.24,10,10,10,1,1008580008,0,74,988070,210570,8d, ,104 017,10306, ,1008580008,12/30/1999,1, , ,17V1.1,0,642.2210372,22138.654,37838200,11,0,3836,3836,99,22275,38.87889099,43.2322197,4.353328705,40.11466144,1.190459717,3971.351482 +3836,MN,543,19,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,120 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,551 SECOND AVENUE LLC,2500,10845,2200,8645,0,2200,0,0,0,0,2,1,5,12,16,25,100,25,84, ,3,N,5,1,103500,1625850,0,0,1900,0,0,South Village Historic District, ,4.34,3.44,0,6.5,1,1005430019,0,65,984101,205377,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,254.0732949,2589.208795,1522350,9,0,3837,3837,11,2475,19.06100082,22.79222298,3.731222153,19.40020284,1.072650951,213.4022312 +3837,MN,528,12,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,214 WEST HOUSTON STREET,R6, , , , , , , , , ,N,I6,8,0,P,VILLAGE CENTER FOR CA,11053,64260,64260,0,0,0,0,0,0,64260,2,1,6,0,1,75,91.92,0,0, ,1,Y,5,0,913500,11478600,913500,11445583,2009,0,0, , ,5.81,2.43,0,4.8,1,1005280012,0,67,983022,204802,12a, ,103 003,10206,R-225,0, ,1, , ,17V1.1,0,487.5215938,11433.99675,10565100,9,0,3838,3838,50,11250,15.38333321,16.78000069,1.39666748,15.5125555,0.388789815,775.6277752 +3838,MN,740,22,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,321 WEST 16 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"321 W. 16TH, LLC",1551,5125,0,5125,0,0,0,0,0,0,2,1,5,10,10,25,63.58,25,40, ,3,Y,5,2,43719,203299,0,0,1905,0,0, , ,3.3,4,0,4,1,1007400022,0,83,983574,209476,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,181.8569612,1668.209949,159580,7,0,3839,3839,8,1800,15.59444427,16.83666611,1.242221832,15.749722,0.410826255,125.997776 +3839,MN,16,100,101,317.04,1001,2,1,10280,E010,1,15,8900,1,1,1A,345 SOUTH END AVENUE,BPC, , , , , ,BPC, , , ,N,D6,4,0,O,BATTERY PARK CITY 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INC,4148,45006,3780,41226,0,3780,0,0,0,0,2,1,12,16,17,42,98.75,42,86, ,3,N,5,2,388350,4086000,9440,9440,1909,1984,0, , ,10.85,7.52,6,7.5,1,1007980026,0,91,985812,209946,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,294.1570336,4446.189274,3697650,2,0,3846,3846,21,4725,28.16444397,30.55999947,2.395555496,28.3517932,0.545787948,595.3876572 +3846,MN,738,19,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,329 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D1,3,0, ,CIRCULAR,3125,7812,0,7812,0,0,0,0,0,0,2,1,4,19,19,25,125,25,64,E,3,N,5,1,149400,1367100,0,0,1900,1958,0, , ,2.5,6.02,6,6.5,1,1007380019,0,83,983198,209107,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,311.2269488,3196.593739,1217700,7,0,3847,3847,14,3150,16.15333366,20.11222267,3.958889008,17.73238128,1.664726126,248.2533379 +3847,MN,69,6,101,15.02,2007,2,1,10038,E004,1,15,7700,1,1,1B,211 PEARL STREET,C5-5, , , , , ,LM, , , ,N,D8,3,0,P,211 PEARL LLC,16642,222000,23500,198500,15000,8500,0,0,0,0,2,1,28,189,194,105.25,104.1,123,139, 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,1,17V1.1,0,232.101719,2140.167732,882000,12,1,3854,3854,9,2025,7.864444256,10.03222275,2.167778492,8.627407339,0.895451389,77.64666605 +3854,MN,97,4,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,112 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,FOGLIANO RLTY HLDNGCO,1250,4420,4420,0,0,1258,0,3162,0,0,2,1,4,0,1,16.67,74.58,17,74, ,3,Y,5,0,98550,135450,0,0,1830,1989,0,South Street Seaport Historic District, ,3.54,6.02,6,6.5,1,1000970004,0,1501,983729,196929,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,192.644925,1309.644202,36900,4,1,3855,3855,5,1125,5.993332863,5.993332863,0,5.993332863,0,29.96666431 +3855,MN,404,14,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,520 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"TZADIK ENTERPRISES, L",3553,13476,500,12976,0,500,0,0,0,0,2,1,6,27,30,37.5,94.75,38,80, ,3,N,5,2,225000,2784600,0,0,1900,0,0, , ,3.79,4,0,4,1,1004040014,0,34,989548,204443,12c, ,102 029,10203, ,0, ,1, , 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,17V1.1,0,187.4427244,1348.695636,114573,9,0,3860,3860,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +3860,MN,97,7501,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1, ,247 WATER STREET,C6-2A, , , , , ,LM, , , ,N,R1,2,0, ,247 WATER ST CONDO,2746,8802,0,8802,0,0,0,0,0,0,2,1,4,5,5,37.5,73.17,37.5,72.83, ,0,Y,0,5,252768,1197559,7080,7080,1900,0,0,South Street Seaport Historic District, ,3.21,6.02,6,6.5,1,1000977501,1036,1501,983655,197207,12b, ,11S 023,10103, ,1000970056,12/2/1998,1,1,1,17V1.1,7,226.6110465,2870.042256,944791,4,1,3861,3861,13,2925,5.993332863,6.116666794,0.123333931,6.002820088,0.032864713,78.03666115 +3861,MN,348,76,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,168 1/2 DELANCEY STREET,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,168 1/2 DELANCY CORP,1500,9250,1500,7750,0,1500,0,0,0,0,2,1,6,7,8,25,60,25,60,E,2,N,5,2,167451,353441,0,0,1900,0,0, , ,6.17,6,0,6,1,1003480076,0,1402,988299,200862,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,174.5357892,1610.387449,185990,13,0,3862,3862,7,1575,23.08555603,23.08555603,0,23.08555603,0,161.5988922 +3862,MN,586,14,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,18 LEROY STREET,R6, , , , , , , , , ,N,A4,1,0, ,"PERL, JUDY",1600,3708,0,2892,0,0,0,0,0,0,2,1,3,1,1,20,80,20,46, ,3,N,5,1,29781,177814,0,0,1910,1999,0,Greenwich Village Historic District Exte, ,2.32,2.43,0,4.8,1,1005860014,0,67,983313,205440,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,208.6010926,1799.9955,148033,9,0,3863,3863,8,1800,15.38333321,16.93666649,1.553333282,15.70416641,0.571862659,125.6333313 +3863,MN,583,18,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,52 MORTON STREET,R6, , , , , , , , , ,N,C6,2,0, ,52 MORTON ST HOUSING,1817,3744,0,3744,0,0,0,0,0,0,2,1,4,3,3,18.17,100,56,18,E,3,N,5,2,144161,348522,0,0,1910,1965,0,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1005830018,0,67,982680,205460,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,233.6386334,1681.930276,204361,9,0,3864,3864,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +3864,MN,411,7504,103,30.01,2000,1,1,10002,L018,7,14,6600,2,3, ,153 ESSEX STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,3258,26214,8013,18201,3443,2825,0,1745,0,0,2,1,7,17,20,50,65.16,50,68, ,0,N,0,2,225000,3226500,0,2437597,1920,2009,2009, , ,8.05,4,4,4,1,1004117504,2126,3001,987774,201907,12c, ,102 003,10204, ,1004110154,8/3/2010,1, , ,17V1.1,7,234.0812088,3356.589907,3001500,1,0,3865,3865,15,3375,30.50799942,30.86333275,0.355333328,30.53168831,0.088635705,457.9753246 +3865,MN,722,73,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,462 WEST 25 STREET,R7B, , , ,C2-5, , , , , ,N,A5,1,0, ,MAPA CHELSEA LLC,1370,4290,0,4290,0,0,0,0,0,0,2,1,5,1,1,18.5,98.75,18.5,46.41, ,3,Y,5,4,20412,108444,0,0,1970,2005,2008, , ,3.13,3,0,3,1,1007220073,0,93,983436,212052,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,240.9260827,1304.551174,88032,2,1,3866,3866,7,1575,10.68099976,12.63888931,1.957889557,11.2444443,0.71632576,78.71111012 +3866,MN,402,28,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,168 EAST 7 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,"168 EAST 7TH STREET,",2533,9720,0,9720,0,0,0,0,0,0,2,1,5,20,20,27.83,90.83,28,78, ,3,N,5,2,164700,1323000,0,0,1911,1987,0, , ,3.84,3,0,3,1,1004020028,0,32,989254,203468,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,236.3890233,2362.899424,1158300,12,0,3867,3867,10,2250,12.85000038,14.05999947,1.209999084,12.97100029,0.362999725,129.7100029 +3867,MN,871,39,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,145 EAST 15 STREET,C1-9A,R8B, , , , , , , , ,Y,D4,3,0, ,145 E. 15TH STREET T,19982,193695,2850,190845,0,0,2850,0,0,0,2,1,16,248,249,103,194,98,193, ,2,N,3,2,1948500,18526050,536071,536071,1959,1986,0, , ,9.69,10,2,10,1,1008710039,0,50,987852,206825,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,607.5862184,21115.48826,16577600,5,0,3868,3868,93,20925,33.78900146,37.65333557,3.864334106,34.72994852,1.480894091,3229.885212 +3868,MN,471,15,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,175 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S5,4,0,P,175 MULBERRY REALTY L,1906,7657,2369,5288,0,2369,0,0,0,0,2,1,6.5,5,6,24.83,76.75,25,75.5, ,0,N,5,5,168448,1018602,0,299010,2006,0,0, , ,4.02,6.02,6,6.5,1,1004710015,0,41,985026,201657,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,198.6792559,1807.440115,850154,0,0,3869,3869,8,1800,24.86333275,32.67666626,7.813333511,25.8756938,2.572224791,207.0055504 +3869,MN,583,10,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,68 MORTON STREET,C1-6, , , , , , , , , ,N,B3,1,0, ,STEVEN GAMBREL,700,2100,0,2100,0,0,0,0,0,0,2,1,3,2,2,25,28,25,28, ,3,N,5,2,40946,97044,0,0,1901,2014,0,Greenwich Village Historic District, ,3,3.44,2,6.5,1,1005830010,0,67,982489,205521,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,115.3210303,827.5862304,56098,9,0,3870,3870,3,675,15.38333321,16.51666641,1.133333206,15.76111094,0.534258397,47.28333282 +3870,MN,94,25,101,15.01,2003,2,1,10038,E006,1,15,7700,1,1,1S,100 GOLD STREET,C6-4, , , , , ,LM, , , ,N,O3,5,0,C,DCAS,95255,655775,655775,0,655775,0,0,0,0,0,2,1,10,0,1,232.17,330.83,184,295, ,1,Y,3,2,15345000,62581500,15345000,62581500,1970,0,0, , ,6.88,10,10,10,1,1000940025,0,1501,983351,197986,12b, ,101S023,10103, ,0, ,1, , ,17V1.1,0,1269.179017,90419.85406,47236500,4,0,3871,3871,408,91800,16.86300087,17.53555489,0.672554016,16.8661155,0.035906395,6881.375122 +3871,MN,425,21,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,7 RIVINGTON STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,7 RIVINGTON LLC,2793,9779,1500,8279,0,1500,0,0,0,0,2,1,5,17,18,28,99.75,28,68, ,3,N,5,2,202500,1686150,0,0,1900,1985,0, , ,3.5,3.44,6,6.5,1,1004250021,0,18,986225,202036,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,259.0001137,2878.493654,1483650,13,0,3872,3872,13,2925,38.80888748,43.5644455,4.755558014,39.29063151,1.297029767,510.7782097 +3872,MN,393,47,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,377 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,UHAB HOUSING DEVELOPM,2370,10715,0,10715,0,0,0,0,0,0,2,1,6,12,12,25,94.75,25,80.75, ,0,N,5,5,135000,885600,135000,761112,1900,0,0, , ,4.52,4,0,4,1,1003930047,0,28,990238,203950,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,246.6071477,2440.676166,750600,12,1,3873,3873,11,2475,7.409999847,7.638888836,0.228888988,7.430807937,0.065800958,81.73888731 +3873,MN,445,25,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,118 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,118-120 EAST FOURTH O,2404,8270,0,8270,0,0,0,0,0,0,2,1,5,24,24,25,96.17,25,64, ,3,N,5,1,270000,1431000,0,0,1900,1984,0, , ,3.44,4,0,4,1,1004450025,0,38,987569,203543,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,249.437537,2540.742847,1161000,1,0,3874,3874,12,2700,29.97444344,33.09444427,3.120000839,30.72536961,1.301567202,368.7044353 +3874,MN,904,50,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,309 3 AVENUE,C2-8A, , , , , , , , , ,N,D4,3,0, ,CRYSTAL HOUSE OWNERS,12050,158337,13500,144837,0,0,13500,0,0,0,2,1,19,165,167,123.42,97.58,120,95, ,3,N,3,2,976500,16096050,155138,155138,1972,1986,0, , ,13.14,10,2,10,1,1009040050,0,64,989096,208569,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,449.3682732,12480.54053,15119600,11,0,3875,3875,56,12600,21.18099976,30.14777756,8.966777802,23.59352561,3.443028364,1321.237434 +3875,MN,792,64,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,150 WEST 17 STREET,C6-2A, , , , , , , , , ,N,P7,8,0,X,"RUBIN, DONALD CULTURA",2231,12000,12000,0,12000,0,0,0,0,0,2,1,6,0,2,24.25,92,24,78, ,3,N,5,2,589500,1867950,589500,1867950,1915,1985,2002, , ,5.38,6.02,6,6.5,1,1007920064,0,81,984862,208885,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,234.0416401,2078.903004,1278450,7,0,3876,3876,10,2250,27.66555595,27.66555595,0,27.66555595,0,276.6555595 +3876,MN,800,14,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,147 WEST 24 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,WG THREE ASSOCIATES L,2469,17800,17800,0,15000,2800,0,0,0,0,2,1,7,0,6,25,98.75,25,99,E,3,N,5,2,630000,1828800,0,0,1910,0,0, , ,7.21,0,10,10,1,1008000014,0,91,985879,210543,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,254.796448,2486.573029,1198800,2,0,3877,3877,13,2925,33.27444458,33.84199905,0.567554474,33.31810262,0.151235875,433.135334 +3877,MN,796,7502,104,87,1001,2,3,10011,L012,13,15,5600,1,4, ,121 WEST 20 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, ,EMANUELA M GARDNER,10819,56442,15986,40456,15986,0,0,0,0,0,2,1,5,28,29,117.6,92,117,92, ,0,N,5,5,1261804,8137354,18880,18880,1875,1988,0,Ladies' Mile Historic District, ,5.22,7.52,6,7.5,1,1007967502,781,87,985671,209447,8d, ,103 030,10305, ,1007960025,12/6/1991,1, , ,17V1.1,7,424.5494923,11106.12195,6875550,7,0,3878,3878,49,11025,28.3488884,30.50533295,2.15644455,28.39289747,0.304903798,1391.251976 +3878,MN,460,46,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,79 EAST 4 STREET,R8B, , , , , , , , , ,N,J5,5,0,X,NEW YORK THEATRE ETC,4808,4800,4800,0,0,0,0,0,0,4800,2,1,1,0,1,50,96.17,50,94, ,2,N,5,0,441000,697950,441000,697950,1920,0,0,East Village/Lower East Side Historic Di, ,1,4,0,4,1,1004600046,0,38,987020,204022,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,301.0922372,5046.487951,256950,1,0,3879,3879,23,5175,35.65444565,37.77111435,2.116668701,35.74647472,0.431654619,822.1689186 +3879,MN,611,57,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,37 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S5,4,0, ,"WACO ENTERPRISES, LLC",1505,5638,700,4938,0,700,0,0,0,0,2,1,4,5,6,24.17,50.42,26,50, ,2,Y,3,5,127828,446958,0,0,1940,1985,2007,Greenwich Village Historic District, ,3.75,3.44,2,6.5,1,1006110057,0,71,984102,207121,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,162.4989617,1493.816761,319130,8,0,3880,3880,7,1575,19.84000015,22.05666733,2.216667175,20.52680996,0.972824167,143.6876698 +3880,MN,635,24,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,19 BETHUNE STREET,R6, , , , , , , , , ,N,B3,1,0, ,BETHUNE STREET LLC,1672,3700,0,2730,0,0,0,0,0,0,2,1,2,2,2,22,76.67,22,42,E,2,Y,5,1,36647,171787,0,0,1899,2005,0,Greenwich Village Historic District, ,2.21,2.43,0,4.8,1,1006350024,0,79,982301,207709,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,205.9325302,1798.714382,135140,8,0,3881,3881,12,2700,13.34599972,15.70666695,2.360667229,13.59870346,0.66192427,163.1844416 +3881,MN,431,25,103,32,4000,1,2,10009,E028,9,14,6600,1,3,3A,51 AVENUE A,R7A,R8B, , ,C2-5, , , , , ,Y,D4,3,0, ,172 E 4TH TENANTS COR,12100,121406,6000,115406,1000,5000,0,0,0,0,2,1,12,103,105,96.17,125.83,92,109, ,2,Y,3,2,1251000,9103050,7080,8632,1929,1986,0, , ,10.03,4,0,4,1,1004310025,0,32,988325,203124,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,448.134037,12370.62584,7852050,1,0,3882,3882,54,12150,23.27222252,24.34111023,1.068887711,23.34257634,0.220685034,1260.499123 +3882,MN,924,50,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,330 EAST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,VISTA REALTY CORP,3853,15330,0,15330,0,0,0,0,0,0,2,1,6,24,24,41.83,92,42,78, ,3,N,5,2,157950,2081250,0,0,1910,0,0, , ,3.98,3,0,3,1,1009240050,0,48,989323,206975,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,273.0164672,3959.040134,1923300,5,0,3883,3883,16,3600,14.83555603,18.31033325,3.474777222,15.05272961,0.841109644,240.8436737 +3883,MN,606,90,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,113 WEST 10 STREET,R6, , , , , , , , , ,N,S2,4,0, ,"PATCHIN PLACE, LLC",1120,2343,703,1640,0,703,0,0,0,0,2,1,3,2,3,19.17,60.5,19.17,42, ,2,Y,3,2,47987,121927,0,0,1910,1960,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006060090,0,71,984427,207028,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,157.3335922,1119.066412,73940,8,0,3884,3884,5,1125,19.72333336,21.93111229,2.207778931,20.16488914,0.883111572,100.8244457 +3884,MN,133,7508,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,47 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,DRAGON ESTATE CONDO,2512,10473,3267,7206,0,3267,0,0,0,0,2,1,5,4,5,25,100.17,25,100, ,3,Y,5,5,260751,784273,0,19080,1920,0,0,Tribeca South Historic District Extensio, ,4.17,7.52,6,7.5,1,1001337508,1769,21,981684,199493,12b, ,101S017,10104, ,1001330008,10/5/2007,1, , ,17V1.1,7,258.2052637,2634.267029,523522,3,0,3885,3885,11,2475,25.60300064,25.60300064,0,25.60300064,0,281.6330071 +3885,MN,69,50,101,15.02,2006,2,1,10038,E004,1,15,7700,1,1, ,102 JOHN STREET,C5-5, , , , , ,LM, , , ,N,Z9, ,0, ,102-110 JOHN MAZAL LL,923,4615,4615,0,0,0,0,4615,0,0,2,1,5,0,2,21.25,48,21,48, ,3,Y,5,2,183600,609300,0,0,1900,0,0, , ,5,10,15,15,1,1000690050,0,1502,982527,197168,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,135.2850996,947.9882622,425700,4,0,3886,3886,4,900,12.07499981,12.6833334,0.608333588,12.22708321,0.26341617,48.90833282 +3886,MN,276,20,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,39 MONROE STREET,R7-2, , , , , , , , , ,N,S9,4,0,P,ON LOK BO LLC,2533,4500,1125,3375,0,1125,0,0,0,0,2,1,4,5,7,25.33,100,25,42, ,3,N,5,2,81829,234089,0,0,1915,1989,0, , ,1.78,3.44,0,6.5,1,1002760020,0,8,985702,198593,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,261.5606791,2739.870763,152260,16,0,3887,3887,11,2475,22.00300026,31.61333275,9.610332489,24.62042444,3.535660605,270.8246689 +3887,MN,835,56,105,76,1001,2,4,10001,L024,14,15,5200,1,5,1A,22 WEST 34 STREET,C5-3,C6-4.5, , , , ,MID, , , ,Y,K2,5,0, ,22 WEST 34TH STREET,14646,67911,67911,0,53407,14504,0,0,0,0,2,3,6,0,13,125,197.5,73,94, ,3,Y,4,2,5490000,22677300,0,0,1937,0,0, , ,4.64,10,15,15,1,1008350056,0,76,987996,212137,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,659.8874295,15468.93313,17187300,10,0,3888,3888,68,15300,45.85200119,49.53333282,3.681331635,46.2628442,1.064882413,3145.873405 +3888,MN,206,1,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,113 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,M1,8,0,X,CHURCH MOST PRECIOUS,7535,10800,10800,0,0,0,0,0,0,10800,2,1,5,0,1,75.17,100.25,75,100, ,2,N,5,1,553500,1477350,553500,1477350,1900,0,0, , ,1.43,6.02,6,6.5,1,1002060001,0,41,984560,200779,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,359.1258873,7849.312822,923850,0,0,3889,3889,36,8100,23.24888802,25.95999908,2.711111069,25.72938183,0.721390429,926.2577457 +3889,MN,539,16,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,88 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,BENNETT PROPERTIES N,1900,6960,1300,5660,0,1300,0,0,0,0,2,1,5,13,14,25,76,25,64, ,3,N,5,2,90450,1342350,0,0,1900,1987,0,South Village Historic District, ,3.66,3.44,0,6.5,1,1005390016,0,65,984465,205156,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,202.0554458,1783.598895,1251900,9,0,3890,3890,9,2025,25.23555565,26.55444527,1.318889618,25.38209894,0.414487019,228.4388905 +3890,MN,210,1,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3A,321 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,MATERA FAMILY LIMITED,1780,1700,900,800,0,900,0,0,0,0,2,1,2,2,5,35,50,35,52, ,3,Y,3,2,219150,572850,0,0,1940,0,0,Tribeca East Historic District, ,0.96,6.02,6,6.5,1,1002100001,0,33,983244,201605,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,175.5030799,1891.401961,353700,0,0,3891,3891,8,1800,12.33199978,12.33199978,0,12.33199978,0,98.65599823 +3891,MN,106,17,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,320 PEARL STREET,C6-2A, , , , , ,LM, , , ,N,H3,5,0, ,"SEAPORT HOSPITALITY,",3731,27356,0,0,0,0,0,0,0,0,2,1,9,0,1,43.25,97,43,75, ,3,Y,5,2,2178000,5133150,0,0,2002,0,0,South Street Seaport Historic District E, ,7.33,6.02,6,6.5,1,1001060017,0,1501,983691,197537,12b, ,101S023,10103, ,0, ,1, ,1,17V1.1,0,276.8769781,3851.28624,2955150,4,1,3892,3892,17,3825,9.201000214,18.05222321,8.851222992,10.22905911,2.815720694,173.8940048 +3892,MN,474,21,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,104 GRAND STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,"ATLANTICO, INC.",1250,7500,7500,0,0,1250,0,1250,0,5000,2,1,5,3,4,25,50,25,50, ,2,N,3,2,225000,1442700,0,0,1900,1989,2003,SoHo-Cast Iron Historic District, ,6,0,5,6.5,1,1004740021,0,47,983844,202107,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,160.8130294,1435.518807,1217700,0,0,3893,3893,6,1350,14.17000008,14.17000008,0,14.17000008,0,85.02000046 +3893,MN,631,13,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,134 CHARLES STREET,C1-6A, , , , , , , , , ,N,S2,4,0, ,134 CHARLES LLC,4667,8914,4268,4646,4268,0,0,0,0,0,2,1,3,2,3,51.42,97,51.42,50,E,3,Y,5,5,105616,242305,0,0,1910,1986,0,Greenwich Village Historic District Exte, ,1.91,4,2,4,1,1006310013,0,75,982089,206694,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,289.1674605,4795.322118,136689,9,0,3894,3894,20,4500,17.77111053,19.3433342,1.572223663,18.07455511,0.578731836,361.4911022 +3894,MN,875,53,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,28 GRAMERCY PARK SOUTH,R8B, , , , , , , , ,LH-1,N,M1,8,0,X,BROTHERHOOD SYNAGAGUE,11554,12096,12096,0,0,12096,0,0,0,0,2,1,3,0,1,106,109,62,89,E,1,N,5,0,1341000,2046150,1341000,2046150,1859,0,0,Gramercy Park Historic District,FRIENDS MEETING HOUSE,1.05,4,0,4,1,1008750053,0,50,988304,207812,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,440.4658003,12097.99211,705150,5,0,3895,3895,53,11925,25.84222221,31.04111099,5.198888779,28.62193914,0.9623369,1516.962774 +3895,MN,882,88,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,379 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,L8,6,0,P,379 PARK AVENUE SOUT,1362,6460,6460,0,0,1292,0,5168,0,0,2,1,5,0,6,22.58,60.33,22.58,60.33, ,3,N,5,2,294750,1098000,0,0,1920,1988,0, , ,4.74,10,10,10,1,1008820088,0,68,988559,209744,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,169.4996007,1385.376237,803250,11,0,3896,3896,6,1350,33.85400009,37.67444611,3.820446014,34.49074109,1.423796165,206.9444466 +3896,MN,924,40,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,350 EAST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,HARMAN MJS LLC,1840,4975,0,4975,0,0,0,0,0,0,2,1,5,8,8,20.42,92,20,47, ,3,N,5,2,93643,401263,0,0,1910,1957,0, , ,2.7,3,0,3,1,1009240040,0,48,989508,206873,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.2061769,1931.867788,307620,5,0,3897,3897,8,1800,14.83555603,17.43666649,2.601110458,15.48333371,1.031841575,123.8666697 +3897,MN,746,7502,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,344 WEST 23 STREET,C1-6A, , , , , , , , , ,N,R4,3,0,P,358 W 23RD ST CONDOMI,7406,41918,0,41918,0,0,0,0,0,0,2,1,9,44,44,74,99,0,0, ,0,N,5,5,708746,5417103,69991,110498,1985,0,0, , ,5.66,4,2,4,1,1007467502,124,93,984152,210984,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,7,370.2100983,8387.264262,4708360,2,0,3898,3898,37,8325,15.97222233,18.40888977,2.436667442,16.28687699,0.797067242,602.6144485 +3898,MN,353,39,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,130 DELANCEY STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,DELANCEY NORFOLK LLC,1847,5541,5541,0,3694,1847,0,0,0,0,2,1,3,0,2,26,70.67,26,70, ,3,Y,3,2,200700,1217250,0,0,1915,2005,2015, , ,3,6.02,6,6.5,1,1003530039,0,18,987744,201092,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,196.5993027,1940.258227,1016550,13,0,3899,3899,9,2025,29.00666618,29.00666618,0,29.00666618,0,261.0599957 +3899,MN,473,130,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,37B CROSBY STREET,M1-5B, , , , , , , , , ,N,C6,2,0, ,35 1/2 CROSBY STREET,2044,8400,0,8400,0,0,0,0,0,0,2,1,6,6,6,51.17,39.96,50,28, ,0,N,6,2,90269,433585,2360,2360,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,4.11,0,5,6.5,1,1004730130,0,45,984505,201894,12c, ,101N/073,10206, ,1004730030,12/31/1998,1, , ,17V1.1,0,183.7503465,2086.324451,343316,0,0,3900,3900,10,2250,23.92666626,28.9244442,4.997777939,25.55584431,1.792269718,255.5584431 +3900,MN,774,72,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,260 WEST 25 STREET,R8A, , , , , , , , , ,N,C3,2,0, ,"DIMATTIO, JOSEPH",1643,3180,0,3180,0,0,0,0,0,0,2,1,4,4,4,15,109.5,15,53, ,3,N,5,5,145138,242907,0,0,1910,0,0, , ,1.94,6,0,6,1,1007740072,0,91,985148,211059,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,254.4424412,1644.503494,97769,2,0,3901,3901,7,1575,24.85199928,29.10777664,4.255777359,25.57574517,1.468809207,179.0302162 +3901,MN,465,21,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,128 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,TCH 10TH ST LLC C/O,708,3675,0,3675,0,0,0,0,0,0,2,1,5,6,6,20,24,20,65, ,2,Y,5,5,42923,171366,0,0,1900,0,0,St. Mark's Historic District, ,5.19,4,0,4,1,1004650021,0,40,987603,205270,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,113.082776,827.9008411,128443,12,0,3902,3902,3,675,33.48777771,33.48777771,0,33.48777771,0,100.4633331 +3902,MN,375,1,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,72 AVENUE C,R8B,R7A, , ,C2-5, , , , , ,Y,C1,2,0,O,NYC HOUSING AUTHORITY,49517,73392,0,73392,0,0,0,0,0,0,2,1,3,76,76,194,408,189,405, ,0,Y,3,5,1305000,3301200,1305000,3301200,1988,0,0, , ,1.48,4,0,4,1,1003750001,0,2601,990143,202696,12c, ,102 014,10202, ,1003750011,12/28/1988,1, ,1,17V1.1,0,1321.787194,50786.0116,1996200,1,1,3903,3903,226,50850,9.035554886,14.14111137,5.105556488,10.62977625,1.155459802,2402.329432 +3903,MN,662,16,104,99,1020,2,3,10011,E003,10,15,5500,1,4,1B,111B 11 AVENUE,M2-3, , , , , , , , , ,N,T2,7,0,O,STATE OF NY-DEPT. OF,300000,103200,103200,0,0,0,103200,0,0,0,2,1,2,0,1,375.75,800.08,129.17,800.08, ,0,N,2,5,2007000,15691050,2007000,15691050,1908,1963,1995, , ,0.34,0,2,0,1,1006620016,0,99,981450,211302,8b, ,103 053,10301, ,0, ,1,1,1,17V1.1,0,2514.796021,158707.7887,13684100,7,1,3904,3904,644,144900,3.428999662,6.967333317,3.538333654,6.38590263,0.317998833,4112.521294 +3904,MN,575,48,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,12 WEST 12 STREET,R10,R6, , , , , , , , ,Y,M1,8,0,P,FIRST PRESBYTERIAN CH,31925,339320,339320,0,0,0,0,0,0,339320,2,2,4,1,1,206.5,175,60,90, ,0,Y,3,5,6300000,11362950,6300000,11362950,1958,0,0,Greenwich Village Historic District, ,10.63,10,0,10,1,1005750048,0,63,985575,206892,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,785.7336789,32720.35518,5062950,8,0,3905,3905,146,32850,24.42399979,34.70999908,10.2859993,27.50866647,4.204139279,4016.265305 +3905,MN,372,24,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,302 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,302 EAST 3RD STREETAS,4786,17970,0,17970,0,0,0,0,0,0,2,1,5,21,21,45.17,105.92,42,86, ,1,N,5,2,225000,2575800,0,0,1900,1988,0, , ,3.75,4,0,4,1,1003720024,0,2202,989952,201927,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,309.7527242,4947.413637,2350800,1,1,3906,3906,22,4950,10.24333286,13.65444469,3.411111832,10.53211069,0.915930036,231.7064352 +3906,MN,940,44,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,330 EAST 35 STREET,R8, , , , , , , , , ,N,C7,4,0, ,330 E. 35TH LLC,3750,13752,2850,10902,0,2850,0,0,0,0,2,1,6,30,32,37.5,100,38,82, ,3,N,5,2,275400,3418650,0,0,1910,1988,2010, , ,3.67,6.02,0,6.5,1,1009400044,0,78,991450,210561,8d, ,104 024,10309, ,0, ,1, ,1,17V1.1,0,281.300238,3929.603871,3143250,10,1,3907,3907,17,3825,8.051111221,12.67333317,4.622221947,8.32300663,1.087581635,141.4911127 +3907,MN,133,19,101,21,1005,2,1,10007,L010,1,15,7700,1,1,1A,57 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,57 WARREN ST OWNERS I,2204,16633,2200,14433,0,2200,0,0,0,0,2,1,8,7,8,25.17,88.25,25,84, ,3,Y,5,2,742851,1287608,9440,9440,1920,1988,2005, , ,7.55,6.02,6,6.5,1,1001330019,0,21,981620,199632,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,233.0387736,2250.178819,544757,3,0,3908,3908,9,2025,25.20666695,25.60300064,0.396333694,25.55896356,0.124555664,230.0306721 +3908,MN,448,47,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,317 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,"317 E 6 ST RESIDENCE,",1635,4000,0,4000,0,0,0,0,0,0,2,1,3,4,4,20,81.75,20,50, ,3,N,5,1,49762,170727,18160,18160,1905,1985,0,East Village/Lower East Side Historic Di, ,2.45,4,0,4,1,1004480047,0,38,987721,204205,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,209.9451337,1582.40362,120965,1,0,3909,3909,6,1350,27.1590004,31.96666527,4.807664871,28.68174076,2.157912774,172.0904446 +3909,MN,162,22,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,25 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,GOLDEN STAR REALTY,1129,6277,900,5377,0,900,0,0,0,0,2,1,6,14,15,31.25,61,31,41, ,3,Y,5,2,76500,851850,0,0,1915,1970,0, , ,5.56,3.44,6,6.5,1,1001620022,0,29,984700,199691,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,171.7516099,1228.736636,775350,14,0,3910,3910,6,1350,30.90500069,31.71777916,0.812778473,31.04046377,0.302904653,186.2427826 +3910,MN,396,7501,103,28,1000,1,2,10009,L011,9,14,6300,4,3, ,215 AVENUE B,C1-6A, , , , , , , , , ,N,RM,4,0, , ,4378,16810,1027,15783,0,1027,0,0,0,0,2,1,8,17,18,49.75,88,0,0, ,1,N,0,5,246602,1941302,0,623151,2008,0,0, , ,3.84,4,2,4,1,1003967501,2105,28,990289,204791,12c, ,102 030,10203, ,1003960001,12/1/2009,1, ,1,17V1.1,7,284.0280188,4680.457713,1694700,12,1,3911,3911,21,4725,10.09222221,11.83444405,1.742221832,10.70803701,0.586672039,224.8687773 +3911,MN,406,14,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,516 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,VILAGE KF 516 EAST 13,2581,10010,0,10010,0,0,0,0,0,0,2,1,5,10,10,25,103.25,25,72, ,3,N,5,2,32335,348420,0,0,1910,2009,2010, , ,3.88,4,0,4,1,1004060014,0,34,989755,204934,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,265.0485932,2725.677292,316085,12,0,3912,3912,11,2475,13.0880003,14.66555595,1.577555656,13.35533359,0.568939542,146.9086695 +3912,MN,443,30,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,29 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,D4,3,0,P,87 E SECOND ST OWNR C,5000,22625,4300,18325,0,4300,0,0,0,0,2,1,5,23,24,50,100,50,98, ,3,N,3,2,319500,2037150,14160,14160,1910,0,0, , ,4.53,4,0,4,1,1004430030,0,3602,987469,203025,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,310.460321,5391.23112,1717650,1,0,3913,3913,24,5400,31.19000053,32.59555435,1.405553818,31.43606512,0.442931482,754.4655628 +3913,MN,618,56,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,233 WEST 13 STREET,R6, , , , , , , , , ,N,C0,2,0, ,231-235 WEST 13TH STR,1633,3360,0,2520,0,0,0,0,0,0,2,1,3,3,3,20,81.67,20,42, ,3,N,5,1,35788,147639,0,0,1920,0,0,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1006180056,0,77,983822,208390,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,205.0492751,1698.285786,111851,8,0,3914,3914,8,1800,22.30444527,24.14666748,1.842222214,22.83319497,0.709360521,182.6655598 +3914,MN,387,143,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,653 EAST 5 STREET,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,"IVAN VIERA, PRES.",2160,13095,1000,12095,0,1000,0,0,0,0,2,1,6,8,10,24.25,90,24.25,90, ,0,Y,3,5,109505,526949,109505,443957,1900,1993,0, , ,6.06,4,0,4,1,1003870143,0,2601,989815,202721,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,240.1636764,2466.339541,417444,1,1,3915,3915,11,2475,8.204444885,11.92666626,3.722221375,8.701757865,1.135809196,95.71933651 +3915,MN,209,11,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,27 HOWARD STREET,M1-5B, , , , , , , , , ,N,S5,4,0,P,CJS BUILDING & DEVELO,2508,12936,2300,10636,0,2300,0,0,0,0,2,1,6,6,7,25.08,100,25,91,E,3,N,5,2,338078,940680,0,0,1915,2001,0,SoHo-Cast Iron Historic District Extensi, ,5.16,0,5,6.5,1,1002090011,0,45,984049,201360,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,258.0347534,2570.68099,602602,0,0,3916,3916,11,2475,11.84555531,17.58555603,5.740000725,12.36737355,1.650134187,136.0411091 +3916,MN,546,33,102,57,2002,2,1,10003,L009,6,15,5700,1,2,2A,713 BROADWAY,C6-2, , , , , , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,4975,61582,61582,0,0,0,0,0,0,61582,2,1,10,0,1,49.75,100,49.75,100, ,3,N,3,2,841500,5367600,841500,5367600,1971,0,0,NoHo Historic District, ,12.38,6.02,6,6.5,1,1005460033,0,57,985877,204874,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,307.1744707,5394.29938,4526100,9,0,3917,3917,24,5400,40.99100113,41.87811279,0.887111664,41.09705655,0.252901091,986.3293571 +3917,MN,775,7501,104,91,2000,2,3,10001,E001,10,15,5200,2,4, ,217 WEST 25 STREET,C6-3X, , , , , , , , , ,N,RI,5,0,P,ARADCO LTD,12442,109490,109490,0,4798,87108,0,0,14078,3506,2,1,12,0,14,126,98.75,0,0, ,0,N,5,5,1443603,10396802,232740,2402954,1912,0,0, , ,8.8,9,6,9,1,1007757501,49,91,985564,211013,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,7,455.490427,12808.14107,8953200,2,0,3918,3918,57,12825,26.32299995,36.79666519,10.47366524,27.45547348,2.918106938,1564.961988 +3918,MN,641,42,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,86 JANE STREET,R6, , , , , , , , , ,N,C2,2,0, ,86 JANE STREET LLC,1760,2310,0,2310,0,0,0,0,0,0,2,1,3,5,5,22,80,22,34, ,3,N,5,5,165046,276282,0,0,1905,0,0,Greenwich Village Historic District, ,1.31,2.43,0,4.8,1,1006410042,0,79,982188,208139,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,210.0001363,1846.859738,111236,8,0,3919,3919,5,1125,12.27999973,12.27999973,0,12.27999973,0,61.39999866 +3919,MN,859,1,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,267 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,TILLAMOCK N V,4941,55395,55395,0,50445,4950,0,0,0,0,2,1,11,0,37,49.42,100,49,100, ,0,N,3,2,3150000,7865550,0,0,1915,2013,0, , ,11.21,10,10,10,1,1008590001,0,74,988005,210808,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,320.1183553,5740.317416,4715550,11,0,3920,3920,27,6075,40.70700073,43.21777725,2.51077652,40.9116509,0.648930517,1104.614574 +3920,MN,770,6,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,263 WEST 20 STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,"STODDARD, GERARD F",1740,3480,0,3480,0,0,0,0,0,0,2,1,3,3,3,20.75,83.83,20.75,44, ,2,N,5,2,83219,139791,1550,1550,1901,0,0, , ,2,4,2,4,1,1007700006,0,87,984443,210122,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,214.7249394,1807.12773,56572,7,0,3921,3921,8,1800,22.20999908,22.20999908,0,22.20999908,0,177.6799927 +3921,MN,519,23,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,32 KING STREET,R6, , , , , , , , , ,N,C2,2,0, ,"MURHY, ROBERT",2494,3973,0,3973,0,0,0,0,0,0,2,1,4,5,5,24.83,100.42,25,65, ,3,N,5,5,198491,333624,0,0,1900,0,0,Charlton-King-Vandam Historic District, ,1.59,2.43,0,4.8,1,1005190023,0,37,983134,204332,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,254.6462652,2487.657,135133,9,0,3922,3922,11,2475,16.83888817,20.35000038,3.511112213,18.05070669,1.605622613,198.5577736 +3922,MN,210,12,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,312 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,MID CENTER EQUITES AS,3449,4470,4470,0,0,2235,0,2235,0,0,2,1,2,0,6,82,38,74,38, ,3,Y,5,2,639000,1101600,0,0,1915,0,0,Tribeca East Historic District, ,1.3,6.02,6,6.5,1,1002100012,0,33,983449,201538,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,262.2906417,3260.520926,462600,0,1,3923,3923,12,2700,12.33199978,12.33199978,0,12.33199978,0,147.9839973 +3923,MN,462,24,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,115 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,K4,4,0,P,PEARL ROTH RLTY INC.,1470,3444,3444,0,0,504,0,819,2121,0,2,1,3,0,1,21,70,21,70,E,0,N,5,5,165600,255600,0,0,1901,0,0,East Village/Lower East Side Historic Di, ,2.34,4,0,4,1,1004620024,0,38,987440,204487,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,189.3876436,1575.135832,90000,12,0,3924,3924,7,1575,35.00777817,35.00777817,0,35.00777817,0,245.0544472 +3924,MN,575,57,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,13 WEST 11 STREET,R6, , , , , , , , , ,N,D4,3,0, ,15 TENANT STOCKHOLDER,7537,51113,0,51113,0,0,0,0,0,0,2,1,9,48,48,80.25,86.08,80,86, ,3,Y,5,2,738000,5120550,28320,28320,1923,0,0,Greenwich Village Historic District, ,6.78,2.43,0,4.8,1,1005750057,0,63,985444,206890,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,382.5700595,7927.962716,4382550,8,0,3925,3925,35,7875,24.42399979,25.12355614,0.699556351,24.44398711,0.116545127,855.5395489 +3925,MN,744,39,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1A,203 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,ZEVA REALTY CORP,2517,5656,1200,4456,0,1200,0,0,0,0,2,1,3,12,13,25.17,100,25,100,E,3,N,5,2,100350,797850,0,0,1900,0,0, , ,2.25,4,2,4,1,1007440039,0,89,984252,210260,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,251.1291452,2559.082321,697500,7,0,3926,3926,12,2700,15.84222221,15.84222221,0,15.84222221,0,190.1066666 +3926,MN,848,7505,105,52,1001,2,2,10003,E014,13,15,5700,1,5, ,240 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,RX,4,0, , ,7860,93291,9556,83735,0,5550,0,4006,0,0,2,1,17,48,51,84,100,84,100, ,3,Y,3,5,1095726,15320247,0,2805124,2007,0,0, , ,11.87,10,10,10,1,1008487505,1864,52,987479,208158,8d, ,102 044,10306, ,1008480033,5/8/2008,1, , ,17V1.1,7,380.9216386,8468.886294,14224500,5,0,3927,3927,38,8550,35.19100189,37.14222336,1.951221466,35.24234983,0.312337285,1339.209293 +3927,MN,628,4,102,79,4001,2,3,10014,L005,6,15,6100,1,2,3B,10 9 AVENUE,M1-5, , , , , , , , , ,N,H1,5,0,P,REGENT SPE LLC,18625,108600,0,0,0,0,0,0,0,0,2,1,13,0,1,128.83,94,128,77, ,0,N,3,5,2547000,34721100,0,0,2003,0,0, , ,5.83,0,5,6.5,1,1006280004,0,79,982676,208814,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,652.6448005,18890.26157,32174100,8,0,3928,3928,83,18675,15.49333382,18.31999969,2.826665878,15.96922123,0.759933941,1325.445362 +3928,MN,520,45,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,25 KING STREET,R6, , , , , , , , , ,N,C5,2,0, ,25 KING OWNERS LLC,1875,7270,0,7270,0,0,0,0,0,0,2,1,5,13,13,25,75,25,68, ,3,N,5,2,180000,1189350,0,0,1920,1989,0,Charlton-King-Vandam Historic District, ,3.88,2.43,0,4.8,1,1005200045,0,37,983203,204476,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,210.9532291,2017.895081,1009350,9,0,3929,3929,10,2250,16.76099968,18.41666603,1.655666351,16.92979965,0.495715867,169.2979965 +3929,MN,924,47,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,336 EAST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,FOTINI EQUITIES LLC,1840,4080,0,4080,0,0,0,0,0,0,2,1,3,5,5,20,92,20,50, ,3,N,5,5,202563,340180,0,0,1910,0,0, , ,2.22,3,0,3,1,1009240047,0,48,989385,206941,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.2446046,1839.057856,137617,5,0,3930,3930,9,2025,14.83555603,18.23777771,3.40222168,15.34459273,1.049508569,138.1013346 +3930,MN,885,48,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,428 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,CHARLES PARIS,2316,7388,2327,5061,0,2327,0,0,0,0,2,1,5,8,9,24.33,95,24.33,52, ,0,N,5,5,204686,555224,0,0,1910,0,0, , ,3.19,10,2,10,1,1008850048,0,72,989686,210034,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,248.6604056,2505.468362,350538,10,0,3931,3931,11,2475,30.56200027,30.56200027,0,30.56200027,0,336.182003 +3931,MN,776,55,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,230 WEST 27 STREET,C6-2, , , , , , , , , ,N,H8,8,0,X,F.I.T. 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REALTY LLC,1632,4320,1000,3320,0,1000,0,0,0,0,2,1,4,6,8,19.67,83,20,54, ,0,N,5,5,111612,337949,0,0,1890,2006,0, , ,2.65,4,2,4,1,1007720005,0,91,984671,210625,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,210.8628848,1652.075676,226337,2,0,3940,3940,8,1800,22.16600037,22.49600029,0.329999924,22.20725036,0.109137216,177.6580029 +3940,MN,717,42,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,165 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,S4,4,0, ,"MOTT, HARRY J JR",1386,4915,1200,3715,0,1200,0,0,0,0,2,1,5,4,5,17.5,77,18,56,E,3,Y,5,5,108579,250993,0,0,1910,1969,0,Chelsea Historic District, ,3.55,3,0,3,1,1007170042,0,89,983392,210539,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,197.1015673,1453.628414,142414,7,1,3941,3941,7,1575,9.621110916,15.84555531,6.224444389,10.58158711,2.15588883,74.07110977 +3941,MN,467,48,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,227 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"GOOD DOG PROPERTIES,",2550,5332,0,5332,0,0,0,0,0,0,2,1,4,19,19,25.5,100,26,67, ,3,N,5,1,98550,1116000,0,0,1920,1985,0, , ,2.09,4,0,4,1,1004670048,0,40,987765,205607,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,260.4273152,2678.615394,1017450,12,0,3942,3942,10,2250,28.52666664,32.65999985,4.133333206,29.63715534,1.708939896,296.3715534 +3942,MN,218,1,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,70 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0, ,THE OFFICE OF THIERRY,2611,12500,2500,10000,500,2000,0,0,0,0,2,1,5,4,6,42.58,60.42,42,60, ,0,Y,5,5,113383,460799,0,0,1915,1994,0,Tribeca North Historic District, ,4.79,6.02,6,6.5,1,1002180001,0,39,981422,202444,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,202.7002527,2494.796307,347416,14,1,3943,3943,11,2475,7.816666603,7.816666603,0,7.816666603,0,85.98333263 +3943,MN,41,24,101,7,1003,2,1,10005,E004,1,15,7700,1,1,1B,62 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,B.M.S. REALTY ASSOCIA,4613,42000,42000,0,36500,5500,0,0,0,0,2,1,9,0,10,32.19,123.75,32,124, ,3,Y,3,2,895500,1963350,0,0,1900,1984,0, , ,9.1,10,15,15,1,1000410024,0,7,981901,196891,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,338.1223927,4995.306966,1067850,4,0,3944,3944,21,4725,21.16222191,24.18833351,3.026111603,22.17899413,0.536956589,465.7588768 +3944,MN,453,5,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,182 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,NAZARKEWYCH IWAN,2058,5555,1111,4444,0,1111,0,0,0,0,2,1,5,4,5,20.58,100,21,51, ,3,N,5,5,164464,245005,0,0,1910,1988,0, , ,2.7,4,0,4,1,1004530005,0,40,988181,205451,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.0233786,2187.24631,80541,12,0,3945,3945,10,2250,26.65699959,28.05555534,1.398555756,27.15088863,0.609317715,271.5088863 +3945,MN,795,71,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,156 WEST 20 STREET,C6-3A, , , , , , , , , ,N,C4,2,0, ,156 W 20 STREET LLC,1632,6330,750,5580,0,750,0,0,0,0,2,1,5,9,10,17.67,94,18,68, 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,7.04,0,5,6.5,1,1005440012,0,57,986448,204696,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,371.7180828,4591.72415,985153,9,0,3948,3948,21,4725,40.7820015,44.57444382,3.792442322,41.00795909,0.822829036,861.167141 +3948,MN,36,30,101,7,1028,2,1,10005,E004,1,15,7700,1,1,1B,PIER14 SOUTH STREET,C4-6, , , , , ,LM, , , ,N,T2,7,0,C,NYC DSBS,169425,169425,169425,0,0,0,0,0,0,169425,2,1,1,0,1,273.58,606,50,488, ,1,Y,2,0,4769550,6480450,4769550,6480450,1900,0,0,South Street Seaport Historic District, ,1,10,3.4,10,1,1000360030,0,7,983115,195798,12b, ,101S101,10101, ,0, ,1,1,1,17V1.1,0,1799.581526,57557.40307,1710900,4,1,3949,3949,178,40050,0,7.817777634,7.817777634,0.485906605,1.376564536,86.49137563 +3949,MN,437,1,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4B,150 1 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,W1,8,0,C,CULTURAL AFFAIRS,13840,52390,52390,0,0,0,0,0,0,52390,2,1,4,0,4,92,150,64,150, ,2,Y,3,2,1068750,2135250,1068750,2135250,1920,2012,0, , ,3.79,4,0,4,1,1004370001,0,34,988586,204582,12c, ,102 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,17V1.1,0,496.1967768,15127.30357,3012750,12,0,3952,3952,67,15075,22.17099953,27.44333458,5.272335052,24.51789204,2.277776701,1642.698767 +3952,MN,236,33,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1A,197 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,BEN SHU MANAGEMENT CO,4961,21412,4961,16451,0,4961,0,0,0,0,2,1,6,40,42,49.58,100.17,50,84, ,3,Y,5,2,335250,1208700,0,0,1910,1989,0, , ,4.32,6.02,6,6.5,1,1002360033,0,41,984763,201028,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,310.9495135,5351.445422,873450,0,0,3953,3953,22,4950,24.0720005,24.0720005,0,24.0720005,0,529.5840111 +3953,MN,621,29,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,101 CHARLES STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,JOSEPH JACKSON,2727,10468,1183,9285,1183,0,0,0,0,0,2,1,5,20,24,28.5,95.75,29,85, ,3,N,5,2,549000,1780200,0,0,1901,1986,0,Greenwich Village Historic District, ,3.84,3.44,2,6.5,1,1006210029,0,73,982727,206964,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,248.0227221,2630.369742,1231200,9,0,3954,3954,13,2925,21.76222229,21.76222229,0,21.76222229,0,282.9088898 +3954,MN,864,41,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,16 PARK AVENUE,R10, , , , , , , , , ,N,D4,3,0,P,16 PARK AVE OWNR CP,4567,58841,2880,55961,0,2880,0,0,0,0,2,1,16,64,67,72.5,63,62,63, ,2,N,3,1,1372500,6752700,65385,65385,1924,1986,0, , ,12.88,10,0,10,1,1008640041,0,74,989435,211695,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,283.8228225,4991.302172,5380200,10,0,3955,3955,21,4725,60.8769989,67.23300171,6.356002808,61.1796657,1.35356708,1284.77298 +3955,MN,413,45,103,18,1003,2,1,10002,E015,7,14,7400,1,3,2B,81 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,75 & 81 ORCHARD ASSOC,4435,18647,3850,14797,0,3850,0,0,0,0,2,1,6,30,34,50.5,87.83,51,74, ,3,N,4,2,576000,3518550,0,0,1910,0,0, , ,4.2,4,4,4,1,1004130045,0,18,986843,200805,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,284.9722398,4656.600104,2942550,13,0,3956,3956,21,4725,38.47555542,42.0233345,3.547779083,38.79465594,0.985415302,814.6877747 +3956,MN,587,36,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,54 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,S2,4,0, ,STERN ROBERT,3430,5324,1500,3824,0,1500,0,0,0,0,2,1,4,2,3,34,103.25,23.5,71, ,3,Y,5,0,31804,79334,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.55,3.44,2,6.5,1,1005870036,0,67,983028,205756,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,283.4738353,3398.978458,47530,9,0,3957,3957,14,3150,17.41555595,19.65777779,2.242221832,18.7051987,0.733339178,261.8727818 +3957,MN,249,78,103,8,6018,2,1,10002,E009,5,14,7800,1,3,1A,169 CHERRY STREET,M1-4, , , , , , , , , ,N,Q6,9,0,C,NYC DEPT OF EDUCATION,34366,4500,4500,0,0,0,0,0,0,4500,2,1,1,0,1,291.25,122,75,60, ,0,Y,3,5,1209600,1641600,1209600,1641600,1950,2003,0, , ,0.13,0,2,6.5,1,1002490078,0,8,986088,198102,12d, ,11N 053,10106, ,0, ,1,1,1,17V1.1,0,784.7540921,32288.44978,432000,16,1,3958,3958,142,31950,8.456666946,12.56044483,4.103777885,9.427722219,1.247754695,1338.736555 +3958,MN,487,18,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,395 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K1,5,0,P,393 WEST BROADWAY COR,4338,3950,3950,0,0,3950,0,0,0,0,2,1,1,0,1,38.98,100,28,100, ,3,Y,5,2,765000,2337750,0,0,1900,1989,0,SoHo-Cast Iron Historic District, ,0.91,0,5,6.5,1,1004870018,0,47,983721,203098,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,306.6546238,4613.39205,1572750,0,0,3959,3959,20,4500,13.42399979,15.56000042,2.136000633,13.60931096,0.490269692,272.1862192 +3959,MN,146,7504,101,33,2011,2,1,10013,E007,1,15,7700,3,1, ,132 DUANE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,DUANE PAW LLC,2370,14240,1200,13040,0,1200,0,0,0,0,2,1,6,4,5,24.7,116.75,24,107.7, ,0,N,1,5,299438,1268678,2360,2360,1930,1998,0,Tribeca South Historic District, ,6.01,6.02,6,6.5,1,1001467504,1139,33,982166,200101,12a, ,11S 017,10104, ,1001460022,12/14/2000,1, , ,17V1.1,7,290.5582491,2942.475247,969240,14,0,3960,3960,12,2700,16.87777901,16.87777901,0,16.87777901,0,202.5333481 +3960,MN,575,36,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,36 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,HARLAND CHRISTOPHER M,2160,5775,0,4641,0,0,0,0,0,0,2,1,4,1,1,20.92,103.25,20.92,59, ,3,N,5,1,82433,309330,0,0,1900,1992,2002,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1005750036,0,63,985332,207077,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,252.2994542,2093.8733,226897,8,0,3961,3961,9,2025,24.42399979,27.81999969,3.395999908,24.96723429,1.110868591,224.7051086 +3961,MN,927,32,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,375 1 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,VOLAGE REALTY LLC,2475,9900,2350,7550,0,2350,0,0,0,0,2,1,4,9,13,24.75,100,25,98, ,2,N,3,2,64350,1275300,0,0,1930,1986,0, , ,4,4,2,4,1,1009270032,0,64,989956,207516,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,258.3026019,2756.934504,1210950,11,0,3962,3962,11,2475,12.9244442,14.13000011,1.205555916,13.12634329,0.412071157,144.3897762 +3962,MN,625,44,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,11 8 AVENUE,C1-6, , , , , , , , , ,N,C4,2,0, ,NORTH HUDSON REALTYCO,1980,8560,400,8160,0,400,0,0,0,0,2,1,5,8,9,19,80,23,74, ,3,Y,3,2,62485,406606,0,0,1901,0,0,Greenwich Village Historic District, ,4.32,3.44,2,6.5,1,1006250044,0,77,982876,208052,12a,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,221.7989038,2096.136389,344121,8,0,3963,3963,12,2700,17.76333427,18.5933342,0.829999924,17.85805639,0.237219345,214.2966766 +3963,MN,572,16,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,52 WEST 9 STREET,R6, , , , , , , , , ,N,C6,2,0,P,52 W 9TH ST OWNRS CP,2348,5681,0,5681,0,0,0,0,0,0,2,2,4,6,6,25,93.92,25,38, ,3,N,5,5,143640,537534,0,0,1980,2005,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1005720016,0,63,984684,206573,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.1429424,2377.35206,393894,8,0,3964,3964,10,2250,18.70499992,21.90222168,3.197221756,19.13177757,0.977083557,191.3177757 +3964,MN,618,7,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,252 WEST 14 STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,250 W14 LLC,1852,7000,3000,4000,1500,1500,0,0,0,0,2,1,5,3,5,22,84.17,22,84, ,3,N,5,5,168376,349667,0,0,1930,2007,2007, , ,3.78,6.02,6,6.5,1,1006180007,0,77,983632,208646,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,206.9150996,1739.123127,181291,8,0,3965,3965,8,1800,22.30444527,22.30444527,0,22.30444527,0,178.4355621 +3965,MN,511,15,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,598 BROADWAY,M1-5B, , , , , , , , , ,N,O9,5,0, ,598 BWAY RLTY ASSOCIN,5700,64120,47720,16400,36632,11088,0,0,0,0,2,1,12,6,25,28.5,198.17,29,199, ,3,Y,4,1,1282500,11421450,0,0,1901,1988,0,SoHo-Cast Iron Historic District, ,11.25,0,5,6.5,1,1005110015,0,43,985193,203390,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,479.0800006,6159.635661,10139000,9,0,3966,3966,28,6300,36.82110977,42.83111191,6.010002136,37.03575271,1.115317399,1037.001076 +3966,MN,816,31,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,3 WEST 14 STREET,C6-2M, , , , , , , , , ,N,D4,3,0,P,JAY T. SNYDER,33550,350000,41000,309000,0,12000,29000,0,0,0,2,2,21,430,439,175,206.5,175,192, ,2,Y,4,2,5040000,32530500,685736,685736,1964,1989,0, , ,10.43,6.02,6,6.5,1,1008160031,0,54,985867,207675,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,834.0903716,35805.53673,27490500,7,0,3967,3967,159,35775,28.19599915,35.40999985,7.214000702,28.62046882,1.539286256,4550.654543 +3967,MN,634,6,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,138 BANK STREET,C1-6A, , , , , , , , , ,N,G7,10,0, ,731 WASHINGTON STREET,1000,0,0,0,0,0,0,0,0,0,7,1,0,0,0,13.17,52,0,0, ,0,Y,3,5,127350,127350,0,0,0,0,0,Greenwich Village Historic District, ,0,4,2,4,1,1006340006,0,75,981982,207447,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,141.2407278,1020.570691,0,9,0,3968,3968,4,900,13.33333302,14.7588892,1.425556183,14.29138899,0.563139809,57.16555595 +3968,MN,379,20,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,422 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,422 10TH STREET REALT,2261,9150,0,9150,0,0,0,0,0,0,2,1,6,11,11,24.5,92.25,25,82, ,3,N,5,0,238500,967950,0,0,2003,0,0, , ,4.05,4,0,4,1,1003790020,0,28,990747,203492,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,237.8019963,2316.323847,729450,12,1,3969,3969,11,2475,7.409999847,9.314444542,1.904444695,7.583131183,0.547489356,83.41444302 +3969,MN,450,51,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,47 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0,P,"ANGELA SOBRINO, TTEE",2348,7990,0,7990,0,0,0,0,0,0,2,1,5,10,10,25,93.92,25,63, ,3,N,5,2,88071,351871,2360,2360,1900,0,0, , ,3.4,4,0,4,1,1004500051,0,38,987911,204677,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,226.3347459,2169.977332,263800,12,0,3970,3970,11,2475,25.4810009,25.4810009,0,25.4810009,0,280.2910099 +3970,MN,720,67,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,440 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,440 WEST 23 ST TENANT,2485,6333,0,6333,0,0,0,0,0,0,2,1,6,5,5,25,98.75,25,59,E,3,N,5,2,70264,598946,2360,2360,1900,1986,2009,Chelsea Historic District Extension, ,2.55,3,0,3,1,1007200067,0,93,983409,211394,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,254.3021816,2537.628396,528682,2,1,3971,3971,13,2925,9.369999886,13.53555584,4.165555954,9.759401688,1.101840201,126.8722219 +3971,MN,580,15,102,37,3002,2,3,10014,E024,1,15,6800,1,2,1B,66 CHARLTON STREET,M1-6, , , , , ,HSQ, , , ,N,H2,5,0, ,S&J TANG 66 CHARLTON,5145,51420,0,0,0,0,0,0,0,0,2,1,20,0,1,51,100,51,53, ,0,N,5,5,3465000,19972350,0,0,2006,0,0, , ,9.99,0,10,10,1,1005800015,0,37,982553,204137,12a, ,101N066,10208, ,0, ,1, , ,17V1.1,0,311.7776095,5321.000405,16507400,0,0,3972,3972,24,5400,17.09600067,17.91666603,0.820665359,17.24076891,0.265919994,413.7784538 +3972,MN,626,47,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,35 JANE STREET,C1-6, , , , , , , , , ,N,S4,4,0, ,"WILK, TRUSTEE, JACK",2200,5924,700,5224,0,700,0,0,0,0,2,2,4,4,5,24.92,88.08,25,40, ,3,Y,5,5,181644,415104,0,0,1915,0,0,Greenwich Village Historic District, ,2.69,3.44,2,6.5,1,1006260047,0,77,983040,208267,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,232.4026748,2319.618183,233460,8,0,3973,3973,12,2700,17.68444443,17.68444443,0,17.68444443,0,212.2133331 +3973,MN,229,36,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,15 GREENE STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,GREENSTREET ASSOCIATE,3987,20755,4000,16755,0,2000,0,0,0,2000,2,1,6,9,10,39.83,100.17,40,100, ,2,N,5,2,344029,1008780,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,5.21,0,5,6.5,1,1002290036,0,47,983418,201978,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,282.403464,3946.419784,664751,0,1,3974,3974,18,4050,9.686666489,12.64444447,2.957777977,9.850987487,0.677512834,177.3177748 +3974,MN,275,23,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,32 MARKET STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,"CHAN, CHUNG CHEONG",1958,5784,3826,1958,0,3026,0,800,0,0,2,2,3,4,7,22.25,86.67,22,45, ,3,Y,5,2,108450,464400,0,0,1910,0,0, , ,2.95,3.44,0,6.5,1,1002750023,0,8,985872,198928,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,228.8692352,2014.699633,355950,16,0,3975,3975,8,1800,30.54333305,30.54333305,0,30.54333305,0,244.3466644 +3975,MN,231,3,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,305 CANAL STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,CANAL ST STUDIO CORP,3362,16810,3362,13448,0,3362,0,0,0,0,2,1,5,6,6,25,137.92,25,136, ,3,Y,4,2,280386,765531,7080,7080,1915,1986,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1002310003,0,47,983678,201577,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,334.7773044,3600.163021,485145,0,0,3976,3976,16,3600,12.89000034,13.34444427,0.454443932,12.93270862,0.119824164,206.9233379 +3976,MN,609,63,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,135 WEST 13 STREET,R6, , , , , , , , , ,N,S5,4,0, ,135 WEST 13 LLC,2117,4800,1200,3600,0,1200,0,0,0,0,2,1,3,5,6,20.5,103.25,20.6,58.3, ,3,N,5,5,165740,506461,0,0,1890,1989,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1006090063,0,71,984632,207953,12c, ,103 027,10209, ,1006090062,3/4/2003,1, , ,17V1.1,0,253.298963,2140.773019,340721,8,0,3977,3977,10,2250,25.65555573,26.93677711,1.28122139,26.02734451,0.568378307,260.2734451 +3977,MN,796,18,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,135 WEST 20 STREET,C6-3A, , , , , , , , , ,N,L8,6,0, ,A AND G REAL ESTATE L,5980,33150,33150,0,0,2000,0,31150,0,0,2,1,6,0,6,65,92,65,84, ,3,N,5,2,639000,3568950,0,0,1903,0,0, , ,5.54,7.52,6,7.5,1,1007960018,0,87,985471,209557,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,320.9685519,6234.71615,2929950,7,0,3978,3978,28,6300,28.3488884,28.3488884,0,28.3488884,0,793.7688751 +3978,MN,614,54,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,3B,6 BANK STREET,C1-6, , , , , , , , , ,N,C3,2,0,P,WINSLOW KENNETH,900,3300,0,3300,0,0,0,0,0,0,2,1,5,4,4,15,60,15,44, ,2,N,5,5,169185,237564,2360,2360,1915,1989,0,Greenwich Village Historic District, ,3.67,3.44,2,6.5,1,1006140054,0,77,983761,207776,12a, ,103 016,10209, ,0, ,1, , 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,17V1.1,0,251.1768528,2367.477218,380700,16,0,4006,4006,10,2250,23.87533379,25.81333351,1.937999725,24.42715588,0.748189105,244.2715588 +4006,MN,479,39,102,41,1002,2,1,10013,L006,5,15,6800,1,2,1A,366 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,C4,2,0, ,362-366 BROOME LIMITE,3897,14875,0,14875,0,0,0,0,0,0,2,1,5,22,22,32.58,119.92,33,129, ,3,Y,5,2,166050,2041650,0,0,1905,2014,0, , ,3.82,6.02,6,6.5,1,1004790039,0,41,985457,201706,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,313.8007532,4004.180872,1875600,0,0,4007,4007,17,3825,35.33778,35.33778,0,35.33778,0,600.74226 +4007,MN,773,63,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,228 WEST 24 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,24TH STREET HOLDING,2634,10350,0,10350,0,0,0,0,0,0,2,1,5,17,17,26.67,98.75,26.67,88.75, ,3,N,5,2,135000,1046700,0,0,1901,1975,0, , ,3.93,6,0,6,1,1007730063,0,91,985213,210734,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,262.9515434,2908.921287,911700,2,0,4008,4008,13,2925,23.38899994,31.77000046,8.381000519,24.36122219,2.320560405,316.6958885 +4008,MN,859,3,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,271 5 AVENUE,C5-2, , , , , , , , , ,N,S9,4,0,P,STEWARD REALTY LLC,2600,7280,1000,6280,0,1000,0,0,0,0,2,1,5,6,8,26,100,26,70, ,0,N,5,5,210449,854488,0,0,1925,0,0, , ,2.8,10,10,10,1,1008590003,0,74,988024,210843,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,260.8803614,2606.453568,644039,10,0,4009,4009,12,2700,40.70700073,42.77000046,2.062999725,40.87891738,0.570183003,490.5470085 +4009,MN,488,25,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,392 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K4,4,0, ,SCAN ENTERPRISES CORP,3863,16900,10140,6760,3380,6760,0,0,0,0,2,1,5,1,5,51.5,75,52,65, ,3,N,5,2,868500,5285700,0,0,1872,2006,0,SoHo-Cast Iron Historic District Extensi, ,4.37,0,5,6.5,1,1004880025,0,47,983546,203124,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,262.5360524,4104.026199,4417200,0,1,4010,4010,19,4275,9.686666489,14.53522205,4.848555565,9.941853624,1.082667322,188.8952188 +4010,MN,592,40,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,80 GROVE STREET,R6, , , , , , , , , ,N,D6,4,0, ,TEN SHERIDAN ASSOCIAT,3427,47808,4000,43808,573,3427,0,0,0,0,2,1,14,74,76,67.67,106.08,68,90, ,3,Y,3,2,625500,8003250,0,0,1929,1988,0,Greenwich Village Historic District, ,13.95,2.43,0,4.8,1,1005920040,0,71,983632,206444,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,287.5991604,3811.208433,7377750,9,0,4011,4011,17,3825,17.50333405,22.35111046,4.847776413,18.31588296,1.756809564,311.3700104 +4011,MN,922,22,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,265 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,FIRST AVENUE EQUITIES,2266,8580,1500,7080,0,1500,0,0,0,0,2,1,5,8,10,28.33,80,28,66, ,3,N,5,2,303187,539802,0,0,1910,0,0, , ,3.79,4,2,4,1,1009220022,0,48,989200,206124,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,231.7562048,2471.168254,236615,5,0,4012,4012,11,2475,19.57900047,19.93288803,0.353887558,19.61304075,0.101315343,215.7434483 +4012,MN,572,38,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,20 5 AVENUE,R10,R6, , , , , , , , ,Y,D6,4,0, ,20 FIFTH AVENUE LLC,10315,132420,6006,126414,6006,0,0,0,0,0,2,1,17,114,115,80.5,124,80,114, ,2,Y,3,2,2448000,16591950,0,0,1940,0,0,Greenwich Village Historic District, ,12.84,10,0,10,1,1005720038,0,63,985250,206266,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,448.7374129,10943.33215,14144000,8,0,4013,4013,49,11025,18.70499992,27.40777779,8.702777863,19.66536506,2.583469727,963.6028881 +4013,MN,439,7,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,194 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"69 CLINTON NPG, LLC",1750,6820,1364,5456,0,1364,0,0,0,0,2,1,5,8,10,25,70,25,50, ,3,N,5,2,25236,195482,0,0,1900,1988,0, , ,3.9,4,0,4,1,1004390007,0,34,988850,205141,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,197.016574,1839.002871,170246,12,0,4014,4014,9,2025,21.74699974,22.93555641,1.188556671,21.8809505,0.372897171,196.9285545 +4014,MN,63,15,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,187 BROADWAY,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,187 BROADWAY OWNER LL,2510,7500,7500,0,0,5000,0,2500,0,0,2,1,2,0,2,25.5,99.5,26,100, ,3,Y,5,2,594000,2591100,0,0,1980,1979,0, , ,2.99,10,15,15,1,1000630015,0,13,981505,198074,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,254.8288949,2510.781355,1997100,3,0,4015,4015,12,2700,30.83200073,34.06777954,3.235778809,31.33813,0.96512255,376.05756 +4015,MN,116,43,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,27 MADISON STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,VANELLA REALTY CORP,5601,14977,9577,5400,0,9577,0,0,0,0,2,1,4,9,10,79.83,79.58,80,76, ,3,Y,5,0,264150,1471500,0,0,1905,1983,0, , ,2.67,3.44,0,6.5,1,1001160043,0,27,984495,198691,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,302.8915354,5946.760238,1207350,16,0,4016,4016,28,6300,14.38099957,17.28900146,2.9080019,14.91097198,0.857378589,417.5072155 +4016,MN,564,26,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,39 EAST 12 STREET,C6-1, , , , , , , , , ,N,D0,3,0,P,UNIVERSITY MEWS OWNER,11280,79974,0,79974,0,0,0,0,0,0,2,1,8,95,95,100,126,100,126, ,3,Y,5,2,769500,8115300,122130,122130,1900,1986,0, , ,7.09,3.44,6,6.5,1,1005640026,0,61,986526,206605,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,444.1441848,12035.82038,7345800,8,0,4017,4017,55,12375,38.11633301,41.26300049,3.14666748,38.22730269,0.571538586,2102.501648 +4017,MN,586,77,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,17 LEROY STREET,C2-6,R6, , , , , , , , ,Y,G1,10,0, ,BERO PARKING CORP,8917,26786,26786,0,0,0,26786,0,0,0,2,1,3,0,1,50,180,50,180, ,0,Y,4,2,900000,4078350,0,0,1932,0,0,Greenwich Village Historic District Exte, ,3,3.44,2,6.5,1,1005860077,0,67,983193,205575,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,463.5029288,9153.569095,3178350,9,0,4018,4018,41,9225,15.38333321,18.25666618,2.873332977,15.56197818,0.64476478,638.0411053 +4018,MN,827,43,105,58,1004,2,2,10010,E001,13,15,5700,1,5,1B,210 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,LERAD COMPANY LLC,3625,36485,23295,13190,19895,3400,0,0,0,0,2,1,11,9,20,28.17,123.33,28,134, ,0,Y,4,2,1071000,3330450,0,0,1903,1989,2008,Madison Square North Historic District, ,10.06,10,10,10,1,1008270043,0,58,987371,210101,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,326.1034196,3856.793481,2259450,11,0,4019,4019,17,3825,40.94300079,40.94300079,0,40.94300079,0,696.0310135 +4019,MN,191,10,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3B,8 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0, ,10 WHITE ST CP,2531,15538,2000,13538,0,2000,0,0,0,0,2,1,5,5,6,40,92.67,40,89,E,3,Y,5,2,235195,760041,2360,2360,1915,1980,0,Tribeca East Historic District, ,6.14,6.02,6,6.5,1,1001910010,0,33,982691,201382,12a, ,101N045,10105, ,0, ,1, , ,17V1.1,0,272.0087791,3460.104474,524846,14,1,4020,4020,16,3600,10.29800034,10.29800034,0,10.29800034,0,164.7680054 +4020,MN,425,7502,103,18,5001,1,1,10002,E055,5,14,7400,2,3, ,199 BOWERY,C6-1, , , , , , , , , ,N,RM,4,0, ,THE NOLITA PLACE COND,15000,61963,19121,42842,0,19121,0,0,0,0,2,1,12,63,64,100,150,99.75,120, ,0,N,0,5,945024,8998209,25960,25960,2000,0,0, , ,4.13,3.44,6,6.5,1,1004257502,1553,18,986118,201970,12c, ,11N 077,10204, ,1004250009,7/13/2006,1, , ,17V1.1,7,501.875622,15070.68501,8053190,13,0,4021,4021,68,15300,38.80888748,41.44444275,2.635555267,38.91460323,0.494922897,2646.19302 +4021,MN,443,52,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,50 EAST 1 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,P H A COOPER CP,2423,8536,2000,6536,0,2000,0,0,0,0,2,1,5,20,22,23.92,100.08,24,68, ,3,Y,5,1,118350,799650,11800,11800,1910,1976,0, , ,3.52,4,0,4,1,1004430052,0,3602,987152,203042,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,257.7731997,2601.205744,681300,1,0,4022,4022,12,2700,32.93299866,36.22999954,3.297000885,34.17347177,1.416205396,410.0816612 +4022,MN,586,35,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,35 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0, ,35 CARMINE STREET ASS,2500,9375,1125,8250,0,1125,0,0,0,0,2,1,5,18,20,25,100,25,72, ,3,N,5,2,427500,1719900,0,0,1900,1986,2015,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005860035,0,67,983310,205340,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,248.9643151,2451.181624,1292400,9,0,4023,4023,11,2475,15.38333321,15.79777813,0.414444923,15.45262614,0.147678112,169.9788876 +4023,MN,434,24,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,120 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"BARNES ASSOCIATES,",2293,6809,700,6109,0,700,0,0,0,0,2,1,5,10,12,25.25,90.83,25,52, ,3,N,5,2,235350,1027350,0,0,1920,1988,0,East Village/Lower East Side Historic Di, ,2.97,4,0,4,1,1004340024,0,32,988578,203842,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,237.5624128,2378.660696,792000,12,0,4024,4024,9,2025,18.26222229,20.75888824,2.496665955,18.72259267,0.884269107,168.503334 +4024,MN,449,19,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,60 ST MARKS PLACE,R8B, , , , , , , , , ,N,C5,2,0, ,60 ST MARKS PLACE,2438,9190,0,9190,0,0,0,0,0,0,2,1,4,10,10,25,97.5,25,73, ,3,N,5,1,98983,396437,0,0,1920,1989,0, , ,3.77,4,0,4,1,1004490019,0,38,987967,204467,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.0917915,2463.637578,297454,12,0,4025,4025,10,2250,26.66699982,28.58555603,1.918556213,27.13885555,0.697724762,271.3885555 +4025,MN,779,57,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,224 WEST 30 STREET,M1-6D, , , , , , , , , ,N,O6,5,0,P,"MB HAMPTONS, LLC",11561,142801,142801,0,132801,10000,0,0,0,0,2,1,14,0,65,117.08,98.75,117,99, ,0,N,5,5,904500,9142650,0,0,1925,1989,0, , ,12.35,10,10,10,1,1007790057,0,95,985937,212100,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,441.390318,12136.18744,8238150,6,0,4026,4026,54,12150,31.05999947,32.58555603,1.525556564,31.17240701,0.338328283,1683.309978 +4026,MN,440,6,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4B,208 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,208 FIRST AVE LLC,1764,3945,945,3000,0,945,0,0,0,0,2,1,4,5,6,21,89.25,21,64,E,3,Y,5,5,83736,265857,0,0,1900,1987,0, , ,2.24,4,0,4,1,1004400006,0,34,988961,205327,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,213.3915408,1779.497983,182121,12,0,4027,4027,8,1800,18.24200058,23.08222198,4.840221405,18.84702826,1.600752766,150.776226 +4027,MN,903,1,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,283 3 AVENUE,C2-8A, , , , , , , , , ,N,C7,4,0,P,TIFFANY PROPERTIES,3150,8580,3000,5580,0,3000,0,0,0,0,2,3,4,10,12,42,75,42,75,E,3,N,3,2,143100,1296450,0,0,1910,2012,2010, , ,2.72,10,2,10,1,1009030001,0,64,988886,208213,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,242.940601,3424.217501,1153350,11,0,4028,4028,16,3600,19.86555672,22.96777725,3.102220535,20.0594455,0.750928029,320.951128 +4028,MN,461,35,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,87 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"UNITED EAST, LLC",4850,26460,4950,21510,400,4550,0,0,0,0,2,1,6,25,29,48.5,100,49,90, ,2,N,3,2,472500,2539800,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,5.46,4,0,4,1,1004610035,0,38,987243,204160,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,315.2593652,5553.117037,2067300,1,0,4029,4029,25,5625,36.55199814,36.55199814,0,36.55199814,0,913.7999535 +4029,MN,646,30,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,420 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,EBS LLC,5162,30162,30162,0,25135,5027,0,0,0,0,2,2,6,0,24,50,103.25,50,103,E,3,N,5,2,1152000,5413950,0,0,1900,1964,0,Gansevoort Market Historic District, ,5.84,0,5,6.5,1,1006460030,0,79,982386,209318,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,306.4625295,5091.351387,4261950,8,1,4030,4030,23,5175,12.05555534,12.05555534,0,12.05555534,0,277.2777729 +4030,MN,754,1,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,363 WEST 30 STREET,C6-2A, , , , , , , , , ,N,D8,3,0,P,"KANGA-ROO REALTY,",8030,82853,2450,80403,0,2450,0,0,0,0,2,1,12,77,80,80.25,100,80,72, ,0,N,3,5,724500,7903350,0,4507470,2000,0,0, , ,10.32,6.02,6,6.5,1,1007540001,0,103,984882,212845,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,376.9503987,8841.770936,7178850,6,0,4031,4031,39,8775,33.70700073,39.35300064,5.645999908,34.28999201,1.571295403,1337.309689 +4031,MN,389,54,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,613 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,613 EAST 6TH ST OWNER,2272,10896,0,10896,0,0,0,0,0,0,2,1,6,14,14,25,90.83,25,81, ,3,N,5,1,135000,1026450,18880,18880,1920,1986,2007, , ,4.8,4,0,4,1,1003890054,0,2602,989603,203168,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,242.2664013,2444.535942,891450,1,1,4032,4032,11,2475,9.168999672,10.88755512,1.71855545,9.422252222,0.554886681,103.6447744 +4032,MN,816,13,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,47 WEST 14 STREET,C6-2M, , , , , , , , , ,N,O5,5,0,P,47 W. 14TH ST. CORP.,5163,22215,22215,0,10000,5000,0,0,0,7215,2,1,5,0,10,50,103.25,50,94,E,3,N,5,2,702000,4567500,0,0,1920,0,0, , ,4.3,6.02,6,6.5,1,1008160013,0,54,985431,207859,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,314.6973131,5291.90062,3865500,7,0,4033,4033,24,5400,28.19599915,28.19599915,0,28.19599915,0,676.7039795 +4033,MN,300,19,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,37 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,LC DYNASTY DEVELOPMEN,1250,5225,1150,4075,0,1150,0,0,0,0,2,1,5,8,10,25,50,25,46, ,3,N,5,2,45037,261645,0,0,1910,0,0, , ,4.18,3.44,6,6.5,1,1003000019,0,16,986372,200162,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,151.681432,1250.430361,216608,13,0,4034,4034,6,1350,39.09000015,39.09000015,0,39.09000015,0,234.5400009 +4034,MN,924,48,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,332 EAST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,1463 BOSTON RD CORP,3680,13992,0,13992,0,0,0,0,0,0,2,1,6,24,24,40,92,40,76, ,3,N,5,2,294300,1527750,0,0,1920,1985,0, , ,3.8,3,0,3,1,1009240048,0,48,989359,206955,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,269.1282325,3774.964233,1233450,5,0,4035,4035,17,3825,14.83555603,16.81655502,1.980998993,14.95208538,0.46611741,254.1854515 +4035,MN,716,3,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,134 10 AVENUE,R8A, , , ,C2-5, , , , , ,N,S2,4,0, ,"134 10TH AVE. ,",2233,5575,2200,3375,0,2200,0,0,0,0,2,1,4,2,3,22.33,100,22,100,E,3,N,5,5,343076,495189,0,0,1910,1985,0, , ,2.5,6,0,6,1,1007160003,0,89,982609,210600,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,252.4951342,2367.896252,152113,7,1,4036,4036,10,2250,10.20100021,10.20100021,0,10.20100021,0,102.0100021 +4036,MN,447,3,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,92 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,92 SECOND AVE LLC,4850,19894,1152,18742,0,1152,0,0,0,0,2,1,6,20,22,48.5,100,49,86, ,3,N,5,2,355500,2061450,0,0,1900,1983,0,East Village/Lower East Side Historic Di, ,4.1,4,0,4,1,1004470003,0,38,987437,204110,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,305.8396581,5067.176013,1705950,1,0,4037,4037,22,4950,28.15800095,31.34533501,3.187334061,28.35710196,0.67473581,623.8562431 +4037,MN,720,29,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,437 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,DAFFY REALTY LLC,1646,3672,0,3672,0,0,0,0,0,0,2,1,4,9,9,16.67,98.75,17,54, ,3,N,5,1,35165,329908,0,0,1900,2009,2015,Chelsea Historic District Extension, ,2.23,3,0,3,1,1007200029,0,93,983459,211254,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,220.4688535,1506.905757,294743,2,1,4038,4038,5,1125,9.369999886,9.369999886,0,9.369999886,0,46.84999943 +4038,MN,611,43,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2K,191 WAVERLY PLACE,R6, , , , , , , , , ,N,C2,2,0, ,THE NARO GRANDCHILDRE,1650,4576,0,4576,0,0,0,0,0,0,2,1,4,5,5,22,75,22,53, ,3,N,5,5,202323,338839,0,0,1915,1985,0,Greenwich Village Historic District, ,2.77,2.43,0,4.8,1,1006110043,0,71,983896,206987,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,197.3658974,1658.451525,136516,8,0,4039,4039,7,1575,19.84000015,22.44444466,2.604444504,20.21206365,0.911365728,141.4844456 +4039,MN,436,28,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,438 EAST 9 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,141 AVENUE A ASSOCIAT,716,3580,500,3080,0,500,0,0,0,0,2,1,5,8,10,26.5,27,27,27, ,2,N,5,2,61313,135534,0,0,1900,0,0, , ,5,4,0,4,1,1004360028,0,32,988914,204267,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,112.4653363,789.0872706,74221,12,0,4040,4040,4,900,17.84799957,18.62177658,0.773777008,18.04144382,0.335055273,72.1657753 +4040,MN,768,50,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,220 WEST 19 STREET,C6-2A, , , , , , , , , ,N,O6,5,0,P,RED CIRCLE N.Y. CORP,8379,115433,115433,0,98433,8500,0,8500,0,0,2,1,12,0,39,91.67,92,92,90, ,0,N,5,5,976500,11822850,0,0,1910,1985,2008, , ,13.78,6.02,6,6.5,1,1007680050,0,87,984660,209556,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,370.8962278,8597.629294,10846400,7,0,4041,4041,38,8550,21.88888931,26.13222122,4.243331909,22.27406467,1.147983229,846.4144573 +4041,MN,376,39,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,77 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,MADISON SB LLC,1183,5460,1150,4310,0,1150,0,0,0,0,2,1,5,8,9,22.75,52,23,51, ,2,N,3,2,14664,81571,0,0,1900,0,0, , ,4.62,6,0,6,1,1003760039,0,2602,990616,202567,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,158.6214659,1344.977077,66907,1,1,4042,4042,5,1125,7.864444256,12.1455555,4.28111124,8.720666504,1.712444496,43.60333252 +4042,MN,912,42,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,244 EAST 32 STREET,R7B, , , , , , , , , ,N,S5,4,0, ,"TWO FOUR FOUR,",1852,4320,792,3528,792,0,0,0,0,0,2,1,4,5,6,18.75,98.75,18.75,44, ,3,N,5,5,114107,259162,0,0,1901,0,0, , ,2.33,3,0,3,1,1009120042,0,70,990458,210184,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,240.5832286,1924.592882,145055,10,0,4043,4043,9,2025,26.45000076,27.01000023,0.559999466,26.54518572,0.188581855,238.9066715 +4043,MN,519,14,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,46 KING STREET,R6, , , , , , , , , ,N,D4,3,0, ,L KING CORPORATION,7500,43346,3000,40346,0,0,0,0,0,3000,2,1,10,57,58,75,100.5,75,96, ,3,N,5,1,472500,4189050,104464,104464,1959,0,0,Charlton-King-Vandam Historic District, ,5.78,2.43,0,4.8,1,1005190014,0,37,982960,204353,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,355.3969747,7702.363997,3716550,9,0,4044,4044,34,7650,16.83888817,19.31555557,2.476667404,17.16571842,0.722715516,583.6344261 +4044,MN,446,11,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,306 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,306-8 SWA,4119,18444,0,18444,0,0,0,0,0,0,2,1,7,34,34,42.83,96.17,43,83, ,2,N,5,2,441000,2425500,0,0,1920,1988,0, , ,4.48,4,0,4,1,1004460011,0,38,987452,203896,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,284.5678516,4248.531917,1984500,1,0,4045,4045,19,4275,32.62111282,34.29999924,1.678886414,32.70947527,0.374890095,621.4800301 +4045,MN,90,7501,101,15.01,1004,2,1,10038,E006,1,15,7700,1,1, ,15 PARK ROW,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,15 PARK ROW CONDOMINI,12850,336447,45931,290516,13923,32008,0,0,0,0,2,1,29,302,325,103,153,0,0, ,0,Y,0,5,4992300,29231911,0,0,1896,0,0, ,PARK ROW BUILDING,26.18,10,15,15,1,1000907501,1121,1501,982088,198397,12b, ,11S 019,10103, ,1000900004,12/14/2000,1, , ,17V1.1,7,619.1208217,15288.47112,24239600,3,0,4046,4046,68,15300,36.36999893,38.15000153,1.780002594,37.76099805,0.262090903,2567.747868 +4046,MN,610,45,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,146 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,146 WEST 10TH LLC,2404,9540,0,9540,0,0,0,0,0,0,2,1,5,20,20,25,96.17,25,84, ,3,N,5,2,109800,1453500,0,601034,1910,0,0,Greenwich Village Historic District, ,3.97,2.43,0,4.8,1,1006100045,0,71,983988,206819,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,250.0106382,2597.989244,1343700,8,0,4047,4047,13,2925,18.18777847,22.03444481,3.846666336,19.25538518,1.607859648,250.3200073 +4047,MN,767,7504,104,81,2000,2,3,10011,L012,10,15,5600,1,4, ,224 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,9746,53649,1004,52645,1004,0,0,0,0,0,2,1,12,31,32,34.69,142.5,0,0, ,0,Y,0,5,886503,7773754,7080,7080,2002,0,0, , ,5.5,6.02,6,6.5,1,1007677504,1305,81,984422,209340,8d, ,103 033,10304, ,1007670056,11/13/2003,1, , ,17V1.1,7,488.9294179,9763.616288,6887250,7,0,4048,4048,43,9675,21.88888931,26.86666679,4.977777481,22.31883759,1.207702593,959.7100163 +4048,MN,300,3,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,38 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,38 ELD BUILDING CORP,2734,10355,2000,8355,0,2000,0,0,0,0,2,1,5,16,17,25.08,109,25,105,E,3,N,5,2,78750,342900,0,0,1930,0,0, , ,3.79,3.44,6,6.5,1,1003000003,0,16,986206,200010,12c,Y,101N050,10107, ,0, ,1, , ,17V1.1,0,276.1838824,2802.960569,264150,13,0,4049,4049,12,2700,39.09000015,42.72222137,3.632221222,39.43612989,1.001130706,473.2335587 +4049,MN,210,34,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,35 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,K1,5,0, ,35 LISPENARD PARTNRSI,1338,1338,1338,0,0,1338,0,0,0,0,2,1,1,0,1,25,53.33,25,53,E,3,N,5,2,114750,279450,0,0,1920,0,0,Tribeca East Historic District, ,1,6.02,6,6.5,1,1002100034,0,33,983282,201594,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,169.6639872,1568.228265,164700,0,0,4050,4050,7,1575,12.33199978,12.33199978,0,12.33199978,0,86.32399845 +4050,MN,595,38,101,39,1003,2,1,10013,L008,1,15,7700,1,1, ,506 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0,P,POINTE EQUITIES INC,1406,2476,1032,1444,0,1032,0,0,0,0,2,1,3,2,3,19,80.5,19,38, ,3,Y,5,2,39857,123012,0,0,1899,2014,0, ,506 CANAL STREET HOUSE,1.76,6.02,6,6.5,1,1005950038,0,39,981567,203280,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,193.9119094,1410.776728,83155,0,1,4051,4051,7,1575,7.909999847,7.93222189,0.022222042,7.913174425,0.007776095,55.39222097 +4051,MN,807,65,105,101,1007,2,3,10001,L024,14,15,5200,1,5,1H,144 WEST 32 STREET,C6-4.5, , , , , ,MID, , , ,N,M3,8,0,X,ORDER OF FRIARS MINOR,980,1962,1962,0,0,0,0,0,0,1962,2,1,2,0,1,20,49.08,20,49, ,3,Y,5,2,154800,279000,154800,279000,1923,0,0, , ,2,10,12,12,1,1008070065,0,101,986899,212183,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,147.5869682,1108.433887,124200,6,0,4052,4052,5,1125,37.13700104,39.8841095,2.747108459,38.22080002,1.327590366,191.1040001 +4052,MN,248,15,103,6,2004,1,1,10002,E015,7,14,7800,1,3,1B,82 RUTGERS SLIP,C6-4, , , , , , , , , ,N,D9,3,0,P,2BT HOUSING DEVELOPME,49116,260000,24700,235300,0,0,0,0,0,24700,2,1,21,198,203,208.8,138.2,0,0, ,0,Y,3,5,1215000,6732450,0,1203604,1995,0,0, , ,5.29,10,10,10,1,1002480015,0,6,986925,198072,12d, ,101N053,10106, ,1002480015,2/9/1999,1,1,1,17V1.1,0,1080.481334,37363.21473,5517450,16,1,4053,4053,166,37350,5.268444061,13.67477798,8.406333923,8.363825896,1.954002421,1388.395099 +4053,MN,393,38,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,165 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,165-167-169 AVENUE C,1916,7485,1000,6485,0,1000,0,0,0,0,2,1,5,8,10,24.25,79,24,58, ,3,N,5,2,119512,1019142,107561,917228,1920,2008,0, , ,3.91,4,0,4,1,1003930038,0,28,990435,203825,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,207.8101701,1925.245926,899630,12,1,4054,4054,9,2025,7.409999847,9.876667023,2.466667175,7.938148075,0.988985304,71.44333267 +4054,MN,454,1,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,192 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,301 REALTY ASSOCS,5123,14748,3687,11061,0,3687,0,0,0,0,2,2,4,21,25,51.75,99,51.75,54,E,0,N,3,5,393300,2667150,0,0,1900,0,0, , ,2.88,4,0,4,1,1004540001,0,40,988263,205608,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,326.4502899,5920.055611,2273850,12,0,4055,4055,25,5625,22.37666702,29.61777687,7.241109848,23.70784027,2.410708471,592.6960068 +4055,MN,587,21,102,67,3001,2,3,10014,E024,6,15,6400,1,2,2B,284 BLEECKER STREET,C2-6, , , , , , , , , ,N,C5,2,0,P,"JEM REAL ESTATE CO.,",2285,10293,0,10293,0,0,0,0,0,0,2,1,2.5,8,9,47,72.92,46,68, ,3,Y,3,0,175173,859136,0,0,1925,0,0,Greenwich Village Historic District Exte, ,4.5,3.44,2,6.5,1,1005870021,0,67,983266,205906,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,222.4942203,2497.538391,683963,9,0,4056,4056,10,2250,21.02799988,21.69133377,0.663333893,21.11508884,0.201803462,211.1508884 +4056,MN,201,14,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,174 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,176 CANAL CORPORATION,4558,20955,3800,17155,0,3800,0,0,0,0,2,1,6,25,27,45.83,100,46,87,E,3,Y,5,2,312300,3546450,0,0,1910,0,0, , ,4.6,3.44,6,6.5,1,1002010014,0,29,984913,200302,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,297.9837841,4698.770601,3234150,14,0,4057,4057,19,4275,33.0379982,39.67444229,6.636444092,33.71364734,1.971105599,640.5592995 +4057,MN,630,43,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,511 HUDSON STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,HUDSON MEWS APT CORP,11609,40320,0,40320,0,0,0,0,0,0,2,2,6,30,30,116.08,100,23,40, ,3,Y,5,5,967500,4701150,98199,98199,1911,0,0,Greenwich Village Historic District, ,3.47,3.44,2,6.5,1,1006300043,0,75,982392,206457,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,437.1807369,11876.34759,3733650,9,0,4058,4058,52,11700,18.16222191,24.33333397,6.171112061,19.1911536,2.007209242,997.9399872 +4058,MN,586,73,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,9 LEROY STREET,R6,R7-2, , ,C1-5, , , , , ,Y,B1,1,0, ,"SANZ, GEMINIANO",2520,4704,0,3528,0,0,0,0,0,0,2,2,3,2,2,28,90,28,42, ,3,N,5,1,37509,190771,1550,1550,1915,0,0,Greenwich Village Historic District Exte, ,1.87,2.43,0,4.8,1,1005860073,0,67,983317,205577,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,238.083488,2648.271277,153262,9,0,4059,4059,11,2475,17.38400078,17.38400078,0,17.38400078,0,191.2240086 +4059,MN,471,58,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,190 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S1,4,0, ,STABILE BROTHERS,2440,4290,570,3720,0,570,0,0,0,0,2,1,3.5,1,2,25,100,25,77,E,2,Y,5,5,24299,80673,0,0,1901,0,0, ,190 GRAND STREET HOUSE,1.76,6.02,6,6.5,1,1004710058,0,41,985081,201399,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,261.564951,2645.8498,56374,0,0,4060,4060,11,2475,27.46699905,27.46699905,0,27.46699905,0,302.1369896 +4060,MN,641,75,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,361 WEST 12 STREET,C4-4A,R6, , , , , , , , ,Y,L8,6,0,P,771 WASHINGTON STREET,10585,21170,21170,0,0,2000,1389,0,0,17781,2,1,2,0,2,119.83,89.83,119.84,89.84, ,3,Y,3,0,810000,4957650,0,0,1910,1970,0,Greenwich Village Historic District, ,2,4,4,4,1,1006410075,0,79,982071,208060,12a,Y,103 014,10210,E-4,0, ,1, , ,17V1.1,0,431.8099687,11417.852,4147650,8,1,4061,4061,51,11475,11.80555534,12.27999973,0.474444389,12.25631785,0.096433622,625.0722103 +4061,MN,550,13,102,59,2001,2,1,10003,E033,6,15,5700,1,2,2A,1 1/2 5 AVENUE,R6, , , , , , , , , ,N,H8,8,0,P,NEW YORK UNIVERSITY,33275,83277,0,0,0,0,0,0,0,0,2,11,5,92,92,218.42,142.17,219,65, ,0,Y,3,2,972000,2232000,777600,1753701,1932,1952,0,Greenwich Village Historic District, ,2.5,2.43,0,4.8,1,1005500013,0,59,985278,205751,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,757.7203881,34598.11164,1260000,9,0,4062,4062,153,34425,27.46111107,30.07999992,2.618888855,27.59165864,0.425529414,4221.523771 +4062,MN,764,11,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,249 WEST 14 STREET,C6-2A, , , , , , , , , ,N,N2,8,0,P,CARMELITE SISTERS ETC,2496,5802,5802,0,0,0,0,0,0,5802,2,1,5,35,35,24.17,103.25,24,64,E,3,N,5,2,351000,583200,351000,583200,1920,1984,0, , ,2.32,6.02,6,6.5,1,1007640011,0,81,983818,208750,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,270.5791069,2631.805425,232200,7,0,4063,4063,11,2475,22.05333328,22.05333328,0,22.05333328,0,242.5866661 +4063,MN,372,34,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,322 EAST 3 STREET,R8A, , , ,C1-5, , , , , ,N,K4,4,0, ,"SHAUKAT, ADBUL MAJEED",2810,7200,7200,0,3600,2720,0,880,0,0,2,1,3,3,5,40,70.25,40,68,E,3,N,5,2,157950,704700,0,0,1910,0,0, , ,2.56,6,0,6,1,1003720034,0,2202,990155,201836,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,224.6558193,2907.218691,546750,1,1,4064,4064,14,3150,10.24333286,12.66777802,2.424445152,10.41650752,0.624390094,145.8311052 +4064,MN,577,13,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,54 WEST 14 STREET,C6-2M, , , , , , , , , ,N,K4,4,0, ,FAB 14 LLC,2581,9947,9947,0,0,2525,0,7422,0,0,2,1,4,0,2,25,103.25,25,48, ,3,N,5,2,269100,1105650,0,0,1900,0,0, , ,3.85,6.02,6,6.5,1,1005770013,0,63,985284,207714,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,268.4675336,2636.709586,836550,8,0,4065,4065,12,2700,29.44000053,30.09499931,0.654998779,30.04041608,0.181032099,360.484993 +4065,MN,873,36,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,194 3 AVENUE,C1-9A, , , , , , , , , ,N,S3,4,0, ,194 THIRD OWNER LLC,2300,6808,1702,5106,0,1702,0,0,0,0,2,1,4,3,4,23,100,23,100,E,3,N,5,5,280818,657299,0,0,1920,1988,0, , ,2.96,10,2,10,1,1008730036,0,50,988155,207275,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,250.4051235,2303.914825,376481,5,0,4066,4066,10,2250,30.96199989,31.22133255,0.259332657,30.98793316,0.077799797,309.8793316 +4066,MN,610,16,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,115 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K2,5,0, ,117 SEVENTH AVE ETC,5755,17220,17220,0,0,17220,0,0,0,0,2,1,3.5,0,2,134.58,70.25,134.58,70.25, ,2,Y,3,0,1845000,4311450,0,0,1920,1987,0,Greenwich Village Historic District, ,2.99,3.44,3.4,6.5,1,1006100016,0,73,983631,206732,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,361.2486735,5923.849129,2466450,8,0,4067,4067,27,6075,20.06299973,24.14333344,4.08033371,20.42519732,1.055285834,551.4803276 +4067,MN,614,13,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,38 BANK STREET,R6, , , , , , , , , ,N,C0,2,0, ,ANDREW D ARONS,1710,4320,0,3300,0,0,0,0,0,0,2,1,2,3,3,20,90.92,20,42,E,3,Y,5,1,72354,189907,0,0,1899,0,0,Greenwich Village Historic District, ,2.53,2.43,0,4.8,1,1006140013,0,77,983425,207696,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,225.9966688,1772.745315,117553,8,0,4068,4068,7,1575,26.80333328,27.96222305,1.158889771,27.02857154,0.407507768,189.2000008 +4068,MN,527,7501,102,67,2004,2,3,10014,E024,6,15,6400,1,2, ,10 BEDFORD STREET,R6,R7-2, , ,C1-5, , , , , ,Y,R1,2,0, ,OWNER / AGENT,1835,3780,0,3780,0,0,0,0,0,0,2,2,3,4,4,19.58,100.75,0,99.11, ,0,N,5,5,32686,322779,0,0,1987,0,0,Greenwich Village Historic District Exte, ,2.06,2.43,0,4.8,1,1005277501,83,67,983355,204893,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,7,239.7196779,1824.374914,290093,9,0,4069,4069,7,1575,15.38333321,18.48999977,3.106666565,16.59015846,1.133081783,116.1311092 +4069,MN,355,75,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,142 STANTON STREET,R7A, , , , , , , , , ,N,C3,2,0,P,ASIAN AMERICAN HOUSIN,1260,3780,0,3780,0,0,0,0,0,0,2,1,4,4,4,20,68,20,40,E,0,Y,5,5,116495,156071,116495,156071,1900,1991,0, , ,3,4,0,4,1,1003550075,0,3001,988203,201874,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,169.4561328,1266.157865,39576,1,0,4070,4070,7,1575,23.94333458,28.65222168,4.7088871,25.77438137,2.14011717,180.4206696 +4070,MN,354,20,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,153 NORFOLK STREET,R7A,C4-4A, , , , , , , , ,Y,D1,3,0, ,153-155 NORFOLK STREE,5000,22500,0,22500,0,0,0,0,0,0,2,1,6,50,50,50,100,50,84, ,3,N,5,2,585000,2392650,0,0,1912,1988,0, , ,4.5,4,0,4,1,1003540020,0,3001,987981,201798,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,312.3809522,5425.281429,1807650,1,0,4071,4071,24,5400,28.01666641,29.69333267,1.67666626,28.08652751,0.335042038,674.0766602 +4071,MN,769,67,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,196 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0, ,258 W 20 ST REALTY,1390,3738,1821,1917,0,1821,0,0,0,0,2,1,3,2,3,25,55.58,25,55,E,0,N,3,5,57243,108727,0,0,1920,0,0, , ,2.69,4,2,4,1,1007690067,0,87,984339,210054,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,167.8107582,1549.124798,51484,7,0,4072,4072,6,1350,21.88888931,22.75444412,0.86555481,22.11129665,0.334726777,132.6677799 +4072,MN,434,7502,103,32,2000,1,2,10009,L011,9,14,6600,4,3, ,128 EAST 7 STREET,R8B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2272,12038,2500,9538,0,0,0,0,0,2500,2,1,7,6,7,25,90.87,0,0, ,0,N,5,5,96833,1253478,2360,2360,1920,1991,0, , ,5.3,4,0,4,1,1004347502,761,32,988644,203805,12c, ,102 020,10205, ,1004340027,12/24/1991,1, , ,17V1.1,7,235.0512877,2261.928742,1156650,12,0,4073,4073,10,2250,18.26222229,19.90999985,1.647777557,18.42700005,0.494333267,184.2700005 +4073,MN,377,55,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,265 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,265 EAST ST CORP,2413,6840,0,6840,0,0,0,0,0,0,2,1,5,5,5,24.75,97.5,25,65,E,3,N,5,1,21715,72698,4720,4720,1900,0,0, , ,2.83,4,0,4,1,1003770055,0,2602,990545,202926,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,247.2665249,2406.015424,50983,12,1,4074,4074,12,2700,7.871110916,10.02222252,2.151111603,8.384629329,0.598043296,100.6155519 +4074,MN,386,11,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,250 EAST 4 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C4,2,0,P,250-254 EAST 4TH STLP,7191,33130,2000,31130,2000,0,0,0,0,0,2,3,6,34,35,74.77,96.17,74,79, ,3,N,5,0,315000,842400,0,525900,1900,1989,0, , ,4.61,4,0,4,1,1003860011,0,2601,989194,202643,12c, ,102 013,10203, ,1003860011,2/13/1991,1, , ,17V1.1,0,353.9248159,7719.52798,527400,1,0,4075,4075,34,7650,14.43666649,16.44966698,2.013000488,14.54024166,0.402191488,494.3682165 +4075,MN,474,32,102,47,2012,2,1,10013,E055,1,15,6800,1,2,1A,481 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,418 REALTY CORP,5206,16695,16695,0,0,5266,0,11429,0,0,2,1,5,0,9,26.33,200,26,200,E,3,N,4,2,1170000,6268950,0,0,1900,1988,0,SoHo-Cast Iron Historic District, ,3.21,0,5,6.5,1,1004740032,0,47,984103,202213,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,478.3718256,5712.334236,5098950,0,0,4076,4076,26,5850,20.71800041,21.37333298,0.655332565,20.74320551,0.126025493,539.3233433 +4076,MN,307,24,103,16,2000,2,1,10002,L006,5,14,7400,1,3,2B,59 ALLEN STREET,C6-1G, , , , , , , , , ,N,G9,7,0, ,LERNER WILLIAM,8821,57807,57807,0,16516,1315,39976,0,0,0,2,1,5,0,3,75,175.08,75,175, ,3,Y,4,2,747000,1773450,0,0,1910,0,0, , ,6.55,3.44,6,6.5,1,1003070024,0,16,986478,200551,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,516.102831,9212.976429,1026450,13,0,4077,4077,40,9000,39.60333252,42.09555435,2.492221832,39.69474916,0.425229917,1587.789967 +4077,MN,228,3,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,361 CANAL STREET,M1-5B, , , , , , , , , ,N,S9,4,0,P,"CANAL ASSOCIATES, L.P",1240,5820,2508,3312,1254,1254,0,0,0,0,2,1,5,4,6,18.92,66.92,19,67,E,3,Y,5,5,101451,425880,0,0,1939,1988,0,SoHo-Cast Iron Historic District, ,4.69,0,5,6.5,1,1002280003,0,47,983152,202023,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,175.7948131,1330.834535,324429,0,1,4078,4078,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +4078,MN,414,25,103,18,7000,2,1,10002,L006,5,14,7400,1,3,2B,276 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"KONG, IP WING",3313,15011,3002,12009,0,3002,0,0,0,0,2,2,5,20,22,44.17,75,44,74, ,3,N,3,2,278550,1779300,0,0,1900,2016,0, , ,4.53,4,4,4,1,1004140025,0,18,986727,201065,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,246.5525048,3562.13636,1500750,13,0,4079,4079,16,3600,37.8544426,40.50500107,2.650558472,39.84236145,1.147725485,637.4777832 +4079,MN,890,77,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,124 EAST 35 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,NEW YORK SOCIETY OF T,7615,20215,20215,0,0,0,0,0,0,20215,2,1,4.5,0,2,77,98.9,77,98.75, ,3,N,5,2,1062000,2035350,1062000,2035350,1915,1959,0,Murray Hill Historic District, ,2.65,4,0,4,1,1008900077,0,72,989768,211496,8d, ,104 031,10307, ,1008900077,7/21/2005,1, , ,17V1.1,0,361.708674,7912.577436,973350,10,0,4080,4080,32,7200,54.3030014,63.5577774,9.254776001,55.90977204,3.087614056,1789.112705 +4080,MN,97,13,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,150 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,LAROCCA JOHN,971,3892,3892,0,0,973,0,2919,0,0,2,1,4,0,1,39.08,25,39,25, ,3,Y,5,0,113850,371700,0,0,1920,0,0,South Street Seaport Historic District, ,4.01,6.02,6,6.5,1,1000970013,0,1501,983586,196850,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,132.7099395,1057.904714,257850,4,1,4081,4081,6,1350,5.993332863,5.993332863,0,5.993332863,0,35.95999718 +4081,MN,284,26,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,169 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,CJK REAL ESTATE LLC,2612,9925,1985,7940,0,1985,0,0,0,0,2,1,5,14,15,26.08,100,26,70, ,3,N,5,1,135000,941850,0,0,1920,1988,0, , ,3.8,3.44,0,6.5,1,1002840026,0,6,987089,199350,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,259.475554,2675.917174,806850,16,0,4082,4082,12,2700,28.16666603,29.39222145,1.22555542,28.74353695,0.329096391,344.9224434 +4082,MN,643,62,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,65 HORATIO STREET,R6, , , , , , , , , ,N,B3,1,0, ,DR JILL MORRIS,850,2296,0,1698,0,0,0,0,0,0,2,1,2,2,2,33.42,25,19,25,E,2,Y,5,1,39545,104376,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.7,2.43,0,4.8,1,1006430062,0,79,982356,208463,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,121.3281187,905.8138177,64831,8,1,4083,4083,6,1350,11.21500015,13.1077776,1.892777443,11.77703714,0.803746334,70.66222286 +4083,MN,443,47,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,60 EAST 1 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,60 EAST 1ST STREET RE,2500,7125,0,7125,0,0,0,0,0,0,2,1,5,8,8,25,100,25,65, ,0,N,5,5,247333,682500,0,0,1997,1997,0, , ,2.85,4,0,4,1,1004430047,0,3602,987259,202983,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,259.8540974,2590.37699,435167,1,0,4084,4084,13,2925,31.19000053,36.14888763,4.9588871,33.12597333,1.2966317,430.6376534 +4084,MN,410,2,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,122 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,122-124 ORCHARD CORP,2940,14030,2400,11630,0,2400,0,0,0,0,2,1,6,20,22,33.33,88.08,33,86, ,3,N,5,2,275400,1476450,0,0,1910,0,0, , ,4.77,4,4,4,1,1004100002,0,18,987218,201390,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,248.5608269,3011.071014,1201050,13,0,4085,4085,13,2925,33.47900009,35.27444458,1.795444489,33.61711121,0.478430935,437.0224457 +4085,MN,466,7501,103,40,3000,1,2,10003,E033,9,14,6200,4,3, ,47 3 AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0, ,"47 THIRD VENTURE,LLC",6726,41323,10661,30662,0,10661,0,0,0,0,2,1,6,28,29,84.08,80,84,80, ,0,N,1,5,1453500,7240500,0,1180138,2006,0,0, , ,6.14,6.02,6,6.5,1,1004667501,1804,40,987395,205518,12c, ,102 026,10205, ,1004660001,12/7/2007,1, , ,17V1.1,7,339.4516567,7183.592527,5787000,12,0,4086,4086,33,7425,33.46133423,38.10889053,4.647556305,36.7972085,0.891457378,1214.30788 +4086,MN,699,9,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,537 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,D8,3,0, ,HT WEST 27TH REALTY L,7281,34345,5500,28844,0,5500,0,0,0,0,2,1,5,28,31,125,58.25,125,54.95, ,3,N,5,2,1845000,6331050,0,3348733,2011,0,0, , ,4.72,7.52,6,10,1,1006990009,0,99,983119,212935,8b, ,105S004,10301,E-142,1006990009,3/5/2010,1, ,1,17V1.1,0,375.8204416,7863.420163,4486050,2,1,4087,4087,36,8100,9.829999924,15.22000027,5.390000343,11.82803096,1.982001435,425.8091145 +4087,MN,600,7501,102,69,1013,2,3,10014,E024,6,15,6400,1,2, ,395 HUDSON STREET,M1-5, , , , , , , , , ,N,RC,5,0, , ,66355,579930,579930,0,579930,0,0,0,0,0,2,1,9,0,2,200.31,339.77,200,340, ,1,Y,1,2,13095001,121187860,1596949,59535160,1921,0,0, , ,8.74,0,5,6.5,1,1006007501,834,69,982095,204945,12a, ,103 001,10208, ,1006000063,1/28/1993,1, , ,17V1.1,7,1087.836649,69230.60638,108093000,9,1,4088,4088,308,69300,12.86800003,17.03777695,4.169776917,13.04829079,0.69493744,4018.873564 +4088,MN,543,7501,102,65,1002,2,1,10012,L009,6,15,5700,2,2, ,135 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,VILLAGE CONDOMINIUM,2500,13430,2870,10560,0,0,0,2870,0,0,2,1,7,6,7,25,100,25,100, ,0,N,0,5,56149,1367265,4720,4720,1907,0,0,South Village Historic District, ,5.37,3.44,0,6.5,1,1005437501,1021,65,984029,205602,12c, ,103 016,10207, ,1005430068,12/18/1998,1, , ,17V1.1,7,254.6306201,2560.610855,1311120,9,0,4089,4089,12,2700,18.19555664,20.5996666,2.404109955,18.8031764,0.66125463,225.6381168 +4089,MN,768,3,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,166 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0, ,8@18,2342,3454,794,2660,0,794,0,0,0,0,2,1,3,2,3,23.42,100,23.42,44, ,0,N,5,5,55017,146225,0,0,1920,1989,0, , ,1.47,4,2,4,1,1007680003,0,87,984183,209726,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,250.6444134,2431.307626,91208,7,0,4090,4090,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +4090,MN,281,19,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,42 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0,P,Q Y TANG'S HWA YUANIN,3475,11475,11475,0,5737,5738,0,0,0,0,2,1,4,0,3,50,69.68,50,68,E,3,Y,5,2,384750,2136475,0,0,1900,1996,2016, , ,3.3,3.44,6,6.5,1,1002810019,0,8,985359,199323,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,248.5222564,3726.214209,1751730,16,0,4091,4091,17,3825,35.10200119,35.10200119,0,35.10200119,0,596.7340202 +4091,MN,516,2,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,128 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,SOHO VILLAGE REALTY I,3790,15599,1300,14299,0,1300,0,0,0,0,2,1,6,28,30,40,94.75,40,80, ,3,N,5,2,235350,2984400,0,0,1910,2014,0,Sullivan-Thompson Historic District, ,4.12,3.44,0,6.5,1,1005160002,0,49,983941,203901,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,276.822767,3936.400137,2749050,9,0,4092,4092,18,4050,17.67111206,19.61666679,1.945554733,17.77919843,0.445651537,320.0255718 +4092,MN,276,10,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,21 MONROE STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,TAI LEE CORP,2538,9575,0,9575,0,0,0,0,0,0,2,1,5,20,20,25,101.5,25,88, ,3,N,5,2,108000,374850,0,0,1900,1988,0, , ,3.77,3.44,0,6.5,1,1002760010,0,8,985478,198568,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,257.9233262,2559.30752,266850,16,0,4093,4093,11,2475,13.17555523,14.25,1.074444771,13.27323203,0.308881154,146.0055523 +4093,MN,792,7507,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,136 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2300,11200,1657,9543,0,1657,0,0,0,0,2,1,10,7,8,25,92,25,92, ,0,N,0,5,30954,915076,0,0,1930,0,0, , ,4.87,6.02,6,6.5,1,1007927507,1450,81,985004,208806,8d, ,103 029,10305, ,1007920057,7/27/2005,1, , ,17V1.1,7,234.3038201,2129.654561,884122,7,0,4094,4094,11,2475,27.66555595,27.66555595,0,27.66555595,0,304.3211155 +4094,MN,743,61,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,328 WEST 20 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,"LEWIS V. WINTER, TRUS",1526,3168,0,2336,0,0,0,0,0,0,2,1,3,2,2,16.58,92,16.58,47, ,2,N,5,1,45810,141158,1550,1550,1910,2006,0,Chelsea Historic District, ,2.08,3,0,3,1,1007430061,0,89,983898,210258,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,223.1103766,1584.100283,95348,7,0,4095,4095,8,1800,15.57888889,18.78111076,3.20222187,16.66693008,1.038582101,133.3354406 +4095,MN,280,8,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,37 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C7,4,0,P,HING LUNG RLTY CORP.,2375,10548,1100,9448,0,1100,0,0,0,0,2,1,7,22,23,24.5,100,25,86, ,2,N,5,2,135000,643950,0,0,1900,0,0, , ,4.44,3.44,0,6.5,1,1002800008,0,8,985345,199080,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,254.9154774,2572.680421,508950,16,0,4096,4096,12,2700,27.8318882,27.8318882,0,27.8318882,0,333.9826584 +4096,MN,542,47,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,107 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,GOLDEN HORSE REALTYIN,3350,9898,3100,6798,0,3100,0,0,0,0,2,3,4,9,10,25,134.5,25,135,E,3,N,4,2,175642,825895,0,0,1900,0,0,South Village Historic District, ,2.95,3.44,0,6.5,1,1005420047,0,65,983985,205204,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,326.971687,3491.999894,650253,9,0,4097,4097,16,3600,18.38111115,18.39455605,0.013444901,18.38195145,0.003254492,294.1112232 +4097,MN,447,5,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,96 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,"CRYSTAL APARTMENTS, L",2425,5796,1500,4296,0,1500,0,0,0,0,2,1,4,5,7,24.25,100,24,48,E,3,N,5,2,99165,307559,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,2.39,4,0,4,1,1004470005,0,38,987454,204142,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,256.3384525,2496.291304,208394,1,0,4098,4098,11,2475,28.15800095,37.54444122,9.386440277,29.0113137,2.698411854,319.1244507 +4098,MN,394,53,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,631 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"EXTRA ONE, L.P.",3872,15018,0,15018,0,0,0,0,0,0,2,1,6,30,30,37.5,103.25,38,89, ,2,N,5,2,495000,2038500,0,0,1910,1988,0, , ,3.88,4,0,4,1,1003940053,0,28,990376,204163,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,291.2044231,4133.074728,1543500,12,1,4099,4099,19,4275,6.934999943,9.364444733,2.42944479,7.348771923,0.754486629,139.6266665 +4099,MN,611,8,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,247 WEST 4 STREET,R6, , , , , , , , , ,N,C0,2,0,P,"LEVY, MARC",1723,6688,0,5016,0,0,0,0,0,0,2,1,3,3,3,22.5,76.58,22.42,76.5, ,3,N,5,1,45222,142209,0,0,1910,2010,2010,Greenwich Village Historic District, ,3.88,2.43,0,4.8,1,1006110008,0,73,983446,206975,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,204.8223461,1786.598065,96987,8,0,4100,4100,8,1800,23.83777809,25.70222282,1.864444733,24.07083368,0.616607137,192.5666695 +4100,MN,915,37,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,248 EAST 35 STREET,R9, , , ,C2-5, ,TA, , , ,N,J6,5,0,P,MARC S WEIN,2370,3864,3864,0,0,0,0,0,0,3864,2,1,2,0,1,24,98.75,24,98, ,0,N,5,5,292500,429750,0,0,1935,1981,0, , ,1.63,7.52,0,10,1,1009150037,0,78,990908,210863,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,251.9288423,2480.472512,137250,10,0,4101,4101,10,2250,18.38999939,18.53444481,0.144445419,18.40444393,0.043333626,184.0444393 +4101,MN,507,9,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,242 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,D7,4,0, ,ELIZABETH STREET LLC,1827,7638,1766,5872,0,1766,0,0,0,0,2,1,7,5,6,20,91.33,20,91, ,3,N,5,0,125550,361089,0,0,1952,2016,0, , ,4.18,6.02,6,6.5,1,1005070009,0,43,986009,202795,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,226.9206277,1842.534541,235539,9,0,4102,4102,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +4102,MN,276,19,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,37 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"CHAN, TAK MING",2500,5625,1100,4525,0,1100,0,0,0,0,2,1,5,9,10,25,100,25,45, ,3,N,5,2,92093,278799,0,0,1915,0,0, , ,2.25,3.44,0,6.5,1,1002760019,0,8,985677,198590,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,259.9346829,2656.047973,186706,16,0,4103,4103,13,2925,21.983778,24.81333351,2.829555511,22.92138452,0.844278768,297.9779987 +4103,MN,459,7,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,357 BOWERY,C6-1, , , , , , , , , ,N,C1,2,0, ,357 BOWERY PARTNERS L,1662,5676,0,5676,0,0,0,0,0,0,2,1,4,8,8,24.33,71.33,24,71, ,3,Y,5,1,70124,279692,0,0,1900,0,0, ,GERMANIA FIRE INSURANCE COMPANY BOW,3.42,3.44,6,6.5,1,1004590007,0,38,986657,204050,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,188.7168898,1734.69758,209568,1,0,4104,4104,8,1800,35.86666489,35.86666489,0,35.86666489,0,286.9333191 +4104,MN,606,91,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,115 WEST 10 STREET,R6, , , , , , , , , ,N,S3,4,0, ,115 WEST 10TH STREET,1150,2684,695,1989,0,695,0,0,0,0,2,1,3,3,4,19.17,60,19,40,E,3,N,5,5,142134,324805,0,0,1910,0,0,Greenwich Village Historic District, ,2.33,2.43,0,4.8,1,1006060091,0,71,984408,207025,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,160.7037332,1145.792778,182671,8,0,4105,4105,4,900,19.72333336,19.72333336,0,19.72333336,0,78.89333344 +4105,MN,502,10,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,106 THOMPSON STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,106 THOMPSON LLC,1330,4800,0,4800,0,0,0,0,0,0,2,1,4,10,10,19,70,19,49, ,3,N,5,1,77211,369884,0,0,1900,1984,0,Sullivan-Thompson Historic District, ,3.61,3.44,0,6.5,1,1005020010,0,49,983755,203625,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,182.9037192,1402.755995,292673,0,0,4106,4106,6,1350,12.81888866,15.11555576,2.296667099,13.20166651,0.855917293,79.20999908 +4106,MN,478,32,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,168 BOWERY,C6-1, , , , , ,LI, , , ,N,S3,4,1, ,SILKALY M. WOLCHOK L.,2562,10180,2500,7680,0,2500,0,0,0,0,2,1,4,3,4,19.42,99.67,19,33, ,3,Y,3,5,141923,603625,0,0,1900,0,0, , ,3.97,3.44,6,6.5,1,1004780032,0,41,985789,201699,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,255.5929571,2762.791391,461702,0,0,4107,4107,12,2700,35.62666702,39.05333328,3.42666626,36.18507449,1.247134989,434.2208939 +4107,MN,281,30,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,64 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0,P,64 EAST BROADWAY REAL,3438,15082,3150,11932,0,3150,0,0,0,0,2,3,5,34,40,24.08,136.67,25,62, ,3,Y,4,2,394200,1402650,0,0,1900,0,0, , ,4.39,3.44,6,6.5,1,1002810030,0,8,985617,199386,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,336.3257039,3777.53401,1008450,16,0,4108,4108,17,3825,35.10200119,36.90999985,1.807998657,35.20835405,0.425411449,598.5420189 +4108,MN,476,23,102,47,2001,2,3,10013,L008,1,15,6800,1,2,1A,521 BROOME STREET,M1-5B, , , , , , , , , ,N,D5,3,0, ,521 BROOME STREET LLC,2420,16940,0,16940,0,0,0,0,0,0,2,1,7,5,7,40,60.5,40,61, ,3,N,3,2,284744,1364337,0,0,1950,2012,0,Sullivan-Thompson Historic District, ,7,0,5,6.5,1,1004760023,0,47,983139,202928,12a, ,101N069,10206, ,1004760023,1/3/1995,1,1,1,17V1.1,0,275.9417729,2903.841615,1079590,0,1,4109,4109,13,2925,9.686666489,9.954443932,0.267777443,9.707264753,0.071354483,126.1944418 +4109,MN,194,19,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,313 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,313 CHURCH ST INC,1963,9000,3600,5400,1800,1800,0,0,0,0,2,1,5,3,5,26.17,75.17,26,75,E,3,Y,5,2,156150,638550,0,0,1915,0,0,Tribeca East Historic District, ,4.58,6.02,6,6.5,1,1001940019,0,33,983178,201474,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,205.8541699,1952.320555,482400,0,0,4110,4110,9,2025,12.8255558,15.98888874,3.163332939,13.17703724,0.994139632,118.5933352 +4110,MN,399,33,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,46 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,JAMES ATAMANUK,3853,16433,1000,15433,0,1000,0,0,0,0,2,1,6,21,23,48.17,80,48,66, ,3,N,5,2,315000,1741950,0,0,1900,0,0, , ,4.26,4,0,4,1,1003990033,0,32,988986,202729,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,258.3996991,3910.704959,1426950,1,0,4111,4111,16,3600,18.04222298,18.04222298,0,18.04222298,0,288.6755676 +4111,MN,402,63,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,505 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,MORA MANAGEMENT CORP,2272,7288,1000,6288,0,1000,0,0,0,0,2,1,5,8,9,25,90.83,25,53, ,3,N,5,2,10220,57721,0,0,1900,1944,0, , ,3.21,3,0,3,1,1004020063,0,32,988865,203576,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,236.6464051,2336.527794,47501,1,0,4112,4112,11,2475,12.85000038,16.74333382,3.893333435,14.41878822,1.736106098,158.6066704 +4112,MN,373,13,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,320 EAST 4 STREET,R8B, , , , , , , , , ,N,C0,2,0,P,REHABILITATION ETAL,1803,2592,0,2592,0,0,0,0,0,0,2,1,3,3,3,18.75,96.17,18.75,51, ,2,N,5,2,9427,36843,5721,5721,1899,0,0, , ,1.44,4,0,4,1,1003730013,0,2601,989929,202235,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,236.0156811,1873.160839,27416,1,0,4113,4113,9,2025,12.37111092,13.3955555,1.02444458,12.7915678,0.473645592,115.1241102 +4113,MN,494,30,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,219 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,MOTT REALTY ASSOCIATE,2479,9625,1540,8085,0,1540,0,0,0,0,2,1,5,19,21,24.83,99.17,24.83,88, ,3,N,5,2,45000,1647450,0,0,1900,0,0, , ,3.88,6.02,6,6.5,1,1004940030,0,43,985498,202409,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,250.4374797,2453.714298,1602450,0,0,4114,4114,12,2700,38.86500168,38.86500168,0,38.86500168,0,466.3800201 +4114,MN,476,83,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,48 GRAND STREET,M1-5A, , , , , , , , , ,N,C6,2,0, ,GRAND STREET CONCERT,1200,5000,0,5000,0,0,0,0,0,0,2,1,5,5,5,20,60,20,50, ,2,N,5,2,36775,156384,7490,7490,1920,1988,0, , ,4.17,0,5,6.5,1,1004760083,0,47,983171,202548,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,164.4758087,1275.372405,119609,0,1,4115,4115,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +4115,MN,792,38,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,585 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,D5,3,0, ,"WASSFAM,LLC",6900,34500,5000,29500,0,5000,0,0,0,0,2,1,5,16,19,23,100,23,150, ,2,Y,5,2,448200,2737350,0,0,1920,1988,0, , ,5,6.02,6,6.5,1,1007920038,0,81,985316,208626,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,488.676422,6950.926454,2289150,7,0,4116,4116,33,7425,27.66555595,33.25444412,5.588888168,28.12316536,1.455607585,928.0644569 +4116,MN,765,55,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,220 WEST 16 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,GP 220 LLC,2581,6250,750,5500,0,750,0,0,0,0,2,1,5,8,9,25,103.25,25,50, ,3,N,5,2,49916,352448,0,0,1901,0,0, , ,2.42,4,0,4,1,1007650055,0,81,984260,208935,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.7532325,2597.974957,302532,7,0,4117,4117,12,2700,22.05333328,26.65666771,4.603334427,24.08074077,2.007240448,288.9688892 +4117,MN,712,11,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,439 WEST 14 STREET,M1-5, , , , , ,WCH, , , ,N,L9,6,0,P,"CECO STUDIOS,",15487,46330,46330,0,0,0,0,0,0,46330,2,1,3,0,3,75,206.5,75,206.5, ,0,N,5,5,625500,3421800,0,0,1900,0,0,Gansevoort Market Historic District, ,2.99,0,5,6.5,1,1007120011,0,83,982345,209628,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,602.392411,17277.02363,2796300,7,1,4118,4118,76,17100,12.13777733,13.04555511,0.907777786,12.51603472,0.106571533,951.2186384 +4118,MN,419,68,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,133 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,S2,4,0, ,ELFRIEDE SCHUSELKA,2700,11078,4000,7078,0,0,0,4000,0,0,2,1,5,2,3,27,100,27,98, ,3,Y,5,2,49186,87091,7520,7520,1900,0,0, , ,4.1,4,4,4,1,1004190068,0,18,986520,201231,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,260.9590059,2860.345545,37905,13,0,4119,4119,13,2925,39.86888886,40.36888886,0.5,39.90735039,0.133234678,518.7955551 +4119,MN,589,13,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,28 CORNELIA STREET,R6, , , , , , , , , ,N,S5,4,0, ,28 CORNELIA STREET PR,2300,5855,1287,4568,0,1287,0,0,0,0,2,2,4,6,7,25.17,92.33,25,44, ,0,Y,5,5,123203,436077,0,0,1940,1985,2014,Greenwich Village Historic District Exte, ,2.55,2.43,0,4.8,1,1005890013,0,67,983604,205654,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,246.3078537,2640.64404,312874,9,0,4120,4120,13,2925,20.67099953,20.67099953,0,20.67099953,0,268.7229939 +4120,MN,754,16,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,345 WEST 30 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,BRE FSC MULTIFAMILY B,4740,25657,0,25657,0,0,0,0,0,0,2,1,11,37,37,48,98.75,43,57, ,1,N,5,2,371700,2497050,0,0,1987,0,0, , ,5.41,4,0,4,1,1007540016,0,103,985083,212745,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,309.8342146,5079.148624,2125350,6,0,4121,4121,22,4950,33.70700073,40.55555725,6.848556519,34.57821794,2.198470499,760.7207947 +4121,MN,722,66,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,448 WEST 25 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"ROSNER, CARY",1925,2666,0,2666,0,0,0,0,0,0,2,1,3,3,3,19.5,98.75,20,43, ,3,N,5,5,32492,263659,0,0,1900,1986,2015, , ,1.38,3,0,3,1,1007220066,0,93,983534,211957,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,237.9318937,1957.444451,231167,2,1,4122,4122,9,2025,10.68099976,11.61222172,0.931221962,10.88695039,0.385304045,97.98255348 +4122,MN,199,6,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,89 BAXTER STREET,C6-1, , , , , , , , , ,N,K2,5,0, ,HUI FAMILY COMPANY LL,2500,3600,3600,0,1200,2400,0,0,0,0,2,1,2,0,1,25,100,25,100, ,3,N,5,2,58500,746100,0,0,1915,0,0, , ,1.44,3.44,6,6.5,1,1001990006,0,29,984389,200416,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,259.9309291,2625.390196,687600,14,0,4123,4123,10,2250,21.88977814,22.37599945,0.486221313,22.32737732,0.145866394,223.2737732 +4123,MN,436,17,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,418 1/2 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,418 12 EAST 9TH STREE,1268,4495,0,4495,0,0,0,0,0,0,2,1,5,6,6,13.5,93.92,14,66, ,3,N,5,1,111312,445247,0,0,1900,1980,0, , ,3.54,4,0,4,1,1004360017,0,32,988683,204354,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,228.9623964,1372.002802,333935,12,0,4124,4124,6,1350,17.84799957,19.6922226,1.844223022,18.15537008,0.687301341,108.9322205 +4124,MN,206,16,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1A,182 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,182 HESTER STREET LLC,2890,14500,5500,9000,0,5500,0,0,0,0,2,1,6,20,22,50.08,57.25,50,57, ,3,Y,3,2,175500,1945350,0,0,1910,1977,0, , ,5.02,6.02,6,6.5,1,1002060016,0,41,984757,200896,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,216.2779895,2918.734877,1769850,0,0,4125,4125,12,2700,25.95999908,30.54111099,4.581111908,26.64990664,1.429082501,319.7988796 +4125,MN,473,16,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,433 BROOME STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,NOVROS DAVID,2626,9216,6720,2496,0,2500,0,4220,0,0,2,1,4,1,4,26,101,26,96,E,3,N,5,2,270000,1447650,0,0,1900,1988,2014,SoHo-Cast Iron Historic District, ,3.51,0,5,6.5,1,1004730016,0,45,984395,202081,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,263.3605859,2781.138977,1177650,0,0,4126,4126,13,2925,20.99799919,27.70666695,6.708667755,21.6946147,1.844068418,282.0299912 +4126,MN,620,80,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,207 WEST 10 STREET,R6, , , , , , , , , ,N,C1,2,0, ,207/10 ASSOCIATES LLC,3450,13362,0,13362,0,0,0,0,0,0,2,1,6,24,24,37.5,92,37,80, ,3,N,5,2,675000,3169800,0,0,1905,1983,0,Greenwich Village Historic District, ,3.87,2.43,0,4.8,1,1006200080,0,73,983111,206792,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,258.4776487,3372.424686,2494800,9,0,4127,4127,15,3375,24.70777702,24.70777702,0,24.70777702,0,370.6166554 +4127,MN,846,21,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,861 BROADWAY,C6-4, , , , , ,US, , , ,N,S3,4,0,P,CENTRAL AREA EQUITIES,1188,6000,2000,4000,0,2000,0,0,0,0,2,1,4,3,4,24.58,99,25,98,E,3,Y,5,5,248820,907602,0,0,1900,2004,0,Ladies' Mile Historic District, ,5.05,10,10,10,1,1008460021,0,52,986891,207951,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,226.3742144,1455.731701,658782,7,0,4128,4128,5,1125,39.36555481,39.36555481,0,39.36555481,0,196.827774 +4128,MN,790,40,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,547 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,D0,3,0, ,10015 OWNRS CORP,5990,22998,1000,21998,0,1000,0,0,0,0,2,1,5,45,47,43.25,120,43,120, ,2,Y,3,2,747000,2605500,42890,42890,1920,1987,0, , ,3.84,6.02,6,6.5,1,1007900040,0,81,985135,208181,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,418.1206678,6518.627904,1858500,7,0,4129,4129,29,6525,27.73777771,30.74444389,3.006666183,28.19693486,1.015615574,817.7111111 +4129,MN,494,36,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,31 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S5,4,0, ,LAU'S II LLC,1067,4194,1049,3145,0,1049,0,0,0,0,2,1,4,6,7,18.42,56,19,59, ,3,N,5,0,83074,247834,0,0,1910,0,0, , ,3.93,6.02,6,6.5,1,1004940036,0,43,985477,202257,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,163.7674087,1212.092924,164760,0,0,4130,4130,5,1125,38.86500168,39.13500214,0.270000458,38.9284462,0.104884834,194.642231 +4130,MN,162,26,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,15 DOYERS STREET,C6-1, , , , , , , , , ,N,K4,4,0,P,"CHAR GOOK CHIN, AS TR",2941,8571,7671,900,4471,3200,0,0,0,0,2,1,3,2,7,44.75,68.83,45,60, ,3,Y,5,2,192150,350550,0,0,1915,0,0, , ,2.91,3.44,6,6.5,1,1001620026,0,29,984730,199622,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,225.5865036,3002.353658,158400,14,0,4131,4131,13,2925,30.90500069,34.70666885,3.801668167,31.1974367,1.013028064,405.5666771 +4131,MN,432,1,103,32,3001,1,2,10009,E028,9,14,6600,1,3,3B,66 1 AVENUE,R7-2,R7A, , ,C2-5, , , , , ,Y,D4,3,0,P,VILLAGE VIEW HOUSING,244775,780062,0,780062,0,0,0,0,0,0,2,5,21,877,877,426,426.75,52,156, ,1,N,1,2,15090300,67478400,15090300,67478400,1962,0,0, , ,3.19,3.44,0,6.5,1,1004320001,0,32,988254,203541,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,2099.175966,248643.4649,52388100,1,0,4132,4132,1104,248400,19.5,29.86888886,10.36888886,24.60062055,2.034684498,27159.08508 +4132,MN,455,5,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,224 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,I2,8,0,P,N Y EYE & EAR INFIRMA,20707,102314,102314,0,0,0,0,0,0,102314,2,1,9,0,1,51.58,217,102,212, ,2,Y,3,2,2518200,12977100,0,0,1967,1985,2011, , ,4.94,4,2,4,1,1004550005,0,40,988515,205922,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,668.6216771,22152.83677,10458900,12,0,4133,4133,96,21600,25.88899994,29.75666618,3.867666245,26.11369669,0.789057788,2506.914883 +4133,MN,635,7502,102,79,3004,2,3,10014,L005,6,15,6100,3,2, ,131 BANK STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,1134,4840,1484,3356,0,1484,0,0,0,0,2,1,5,4,5,65.17,22.9,65,22, ,0,Y,0,5,64732,444042,0,0,1911,0,0,Greenwich Village Historic District, ,4.27,4,2,4,1,1006357502,1377,79,982009,207535,12a, ,103 013,10210, ,1006350001,8/4/2004,1, , ,17V1.1,7,173.1769463,1244.797786,379310,8,0,4134,4134,6,1350,13.34599972,15.52666664,2.180666924,13.84381469,0.789811148,83.06288815 +4134,MN,576,6,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,496 AVENUE OF THE AMER,C6-2,C1-7, , , , , , , , ,Y,S3,4,0, ,"496 DK PROPERTIES, CO",1965,4924,1225,3699,0,1225,0,0,0,0,2,1,4,3,4,20.75,100,20,100,E,3,Y,5,5,315134,600881,0,0,1900,1982,0, , ,2.51,6.02,6,6.5,1,1005760006,0,63,985009,207509,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,251.5656536,2085.074758,285747,8,0,4135,4135,9,2025,23.70299912,25.11555672,1.412557602,23.85994996,0.443924026,214.7395496 +4135,MN,404,2,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,168 AVENUE A,R7A, , , ,C2-5, , , , , ,N,M9,8,0, ,ALPHA Y OMEGA INC,1510,5700,3700,2000,0,1200,0,1000,0,1500,2,1,4,2,3,20,75.5,20,40,E,3,N,5,2,186750,650700,0,0,1910,0,0, , ,3.77,4,0,4,1,1004040002,0,34,989325,204562,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,195.5320649,1557.360184,463950,12,0,4136,4136,7,1575,12.53199959,18.14666557,5.614665985,13.61174556,1.969079691,95.28221893 +4136,MN,722,4,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,248 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,C7,4,0, ,NEW 41ST STREET REALT,2467,9656,1000,8656,0,1000,0,0,0,0,2,1,6,9,10,24.67,100,25,47, ,3,N,5,2,220559,879642,0,0,1900,2003,1999, , ,3.91,3,0,3,1,1007220004,0,93,983371,211976,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,252.0107447,2448.496927,659083,2,1,4137,4137,12,2700,10.68099976,12.20666695,1.525667191,10.93065723,0.471234519,131.1678867 +4137,MN,719,10,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,455 WEST 21 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"HOWELL, CAROL ANN PAL",1975,4660,0,4660,0,0,0,0,0,0,2,1,4,4,4,20,98.75,20,54,E,3,N,5,5,273623,458831,0,0,1900,0,0,Chelsea Historic District, ,2.36,3,0,3,1,1007190010,0,89,983083,211165,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,245.2565084,2052.572317,185208,7,1,4138,4138,9,2025,9.307999611,11.31333351,2.0053339,9.76567883,0.712063047,87.89110947 +4138,MN,818,2,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,576 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,S2,4,0, ,WOO YOUNG S,1300,5260,1300,2980,0,1300,0,0,0,0,2,1,4,2,3,20,65,20,65,E,3,N,5,2,67739,149464,0,0,1975,1988,0, , ,4.05,6.02,6,6.5,1,1008180002,0,54,985496,208421,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,180.5103656,1475.862069,81725,7,0,4139,4139,6,1350,31.11599922,31.11599922,0,31.11599922,0,186.6959953 +4139,MN,849,52,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,38 EAST 21 STREET,M1-5M, , , , , , , , , ,N,D7,4,0, ,38 EAST 21 GROUP L.P.,2300,17850,1980,15870,0,1980,0,0,0,0,2,1,9,8,9,25,92,25,80, ,2,N,5,2,349890,2027611,0,0,1904,1986,1991,Ladies' Mile Historic District, ,7.76,0,5,6.5,1,1008490052,0,52,987437,208579,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,245.8579188,2455.498034,1677720,5,0,4140,4140,10,2250,34.69888687,37.95111084,3.252223969,35.02410927,0.975667191,350.2410927 +4140,MN,861,31,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,39 EAST 31 STREET,C5-2, , , , , , , , , ,N,O5,5,0, ,481 BROADWAYINC,2123,7680,7680,0,4400,3280,0,0,0,0,2,1,5,0,5,21.42,98.75,21,93,E,3,N,5,2,254250,517950,0,0,1925,1982,0, , ,3.62,10,10,10,1,1008610031,0,74,988873,210943,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,253.6383375,2242.214619,263700,10,0,4141,4141,10,2250,37.62444687,37.62444687,0,37.62444687,0,376.2444687 +4141,MN,281,16,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,36 EAST BROADWAY,C6-1G, , , , , , , , , ,N,S9,4,0, ,YUK TAK RLTY CORP,1871,9393,3996,5397,1799,2197,0,0,0,0,2,1,5,6,10,25,75,25,70, ,3,Y,5,2,195880,672562,0,0,1900,2012,0, , ,5.02,3.44,6,6.5,1,1002810016,0,8,985272,199316,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,210.7861798,2051.072045,476682,16,0,4142,4142,10,2250,35.10200119,36.03266907,0.930667877,35.19506798,0.279200363,351.9506798 +4142,MN,955,1,106,62,1005,2,4,10010,E016,13,14,6000,1,6,1B,394 1 AVENUE,R8, , , , , , , , , ,N,W9,8,0,C,DCAS/DEPARTMENT OF ED,8048,66370,66370,0,66370,0,0,0,0,0,2,1,8,0,1,98.75,81.5,98.25,81.5, ,1,N,3,1,1966500,4243950,1966500,4243950,1931,1981,0, , ,8.25,6.02,0,6.5,1,1009550001,0,62,990323,207785,12c, ,104 011,10309, ,0, ,1, , ,17V1.1,0,375.4184173,8663.393011,2277450,11,1,4143,4143,39,8775,12.81999969,12.81999969,0,12.81999969,0,499.9799881 +4143,MN,613,7501,102,73,6000,2,3,10014,Q018,6,15,6400,2,2, ,31 PERRY STREET,R6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2375,8743,4297,4446,0,4297,0,0,0,0,2,1,4,1,2,25,95,0,0, ,0,N,5,5,174791,834046,0,0,1930,0,0,Greenwich Village Historic District, ,3.68,2.43,0,4.8,1,1006137501,659,73,983564,207371,12a, ,103 015,10209, ,1006130035,10/30/1989,1, , ,17V1.1,7,245.5917536,2443.76923,659255,8,0,4144,4144,11,2475,25.34199905,27.31444359,1.972444534,25.52131219,0.567037935,280.7344341 +4144,MN,802,22,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,127 WEST 26 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,J A R REALTY COMPANY,8641,92970,92970,0,0,6000,0,86970,0,0,2,1,12,0,23,87.5,98.75,88,96, ,2,N,5,2,1458000,8091000,0,0,1912,0,0, , ,10.76,0,10,10,1,1008020022,0,95,986331,210881,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,380.4834358,9007.728142,6633000,2,0,4145,4145,40,9000,32.50999832,34.47122192,1.961223602,32.55902891,0.306195937,1302.361156 +4145,MN,806,6,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,151 WEST 30 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,"151 WEST 30TH STREET,",7406,85517,85517,0,0,5000,0,80517,0,0,2,2,12,0,52,75,98.75,75,90, ,3,N,5,2,1660500,10147050,0,0,1912,1986,0, , ,11.55,0,10,10,1,1008060006,0,101,986519,211957,8d, ,105S023,10305, ,0, ,1, , 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+4148,MN,932,17,106,66,8003,2,2,10016,E016,13,14,5800,1,6,1B,327 EAST 26 STREET,R8, , , ,C2-5, , , , , ,N,I5,8,0,C,DEPARTMENT OF HEALTH,44250,336212,336212,0,336212,0,0,0,0,0,2,1,14,0,1,250,177,250,175, ,1,N,1,2,9810000,31680000,9810000,31680000,1964,0,0, , ,7.6,6.02,0,6.5,1,1009320017,0,66,990493,208637,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,928.2627643,52404.97511,21870000,11,0,4149,4149,233,52425,17.86333275,25.97999954,8.116666794,21.89127754,1.611153588,5100.667667 +4149,MN,766,18,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,241 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,B1,1,0, ,"BELL, LOUISA, A/K/A",2000,2520,0,2520,0,0,0,0,0,0,2,1,3,2,2,20,100,20,42, ,2,N,5,2,30153,104000,0,0,1901,0,0, , ,1.26,4,0,4,1,1007660018,0,81,984172,209163,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.9631553,1989.669085,73847,7,0,4150,4150,9,2025,21.88888931,26.03333282,4.144443512,23.79077805,1.783069159,214.1170025 +4150,MN,691,41,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,512 WEST 20 STREET,C6-2, , , , , ,WCH, , , ,N,M1,8,0,X,NEW YORK CONGREGATIOE,3066,6060,6060,0,0,0,6060,0,0,0,2,1,2,0,1,33.33,92,33.23,92, ,3,N,5,0,281250,558450,281250,558450,1936,0,0, , ,1.98,6.02,6,6.5,1,1006910041,0,99,982453,211056,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,254.2666984,3106.997202,277200,7,1,4151,4151,14,3150,6.974444389,6.974444389,0,6.974444389,0,97.64222145 +4151,MN,767,7503,104,81,2000,2,3,10011,L012,10,15,5600,1,4, ,201 WEST 17 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,7542,71206,10728,60478,467,10261,0,0,0,0,2,1,12,37,39,75.42,100,0,0, ,0,N,0,5,1389148,12420897,16520,16520,2000,0,0, , ,9.44,7.52,6,7.5,1,1007677503,2000,81,984671,209156,8d, ,103 033,10304, ,1007670038,9/27/2001,1, , ,17V1.1,7,355.9943005,7778.84729,11031700,7,0,4152,4152,34,7650,25.0359993,25.0359993,0,25.0359993,0,851.2239761 +4152,MN,518,49,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,203 PRINCE STREET,R7-2, , , , , , , , , ,N,S2,4,0, ,"ANSON , ANDREA V",1887,4224,1056,3168,0,1056,0,0,0,0,2,1,3,2,3,24.5,77,24.5,44, ,3,N,5,1,47127,117512,0,0,1899,0,0,Sullivan-Thompson Historic District,203 PRINCE STREET HOUSE,2.24,3.44,0,6.5,1,1005180049,0,49,983472,204112,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,214.0197416,2133.461,70385,9,0,4153,4153,9,2025,20.52111053,23.89666748,3.375556946,20.89617242,1.060835203,188.0655518 +4153,MN,525,59,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,94 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0,P,C & S MILLENIUM REALE,1838,5460,2700,2760,0,2700,0,0,0,0,2,1,3,3,5,18.75,98,18.75,40,E,3,N,5,5,96400,202047,0,0,1900,0,0,South Village Historic District, ,2.97,3.44,0,6.5,1,1005250059,0,65,984246,204266,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,237.7999067,1950.25388,105647,9,0,4154,4154,8,1800,23.62666702,26.51555634,2.888889313,24.54833364,1.224549187,196.3866692 +4154,MN,591,40,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,317 BLEECKER STREET,C1-6,C4-5,R6, , , , , , , ,Y,D7,4,0, ,49 GROVE REALTY LLC,8000,43128,7380,35748,0,7380,0,0,0,0,2,1,6,46,54,73.33,117.75,73,112, ,3,Y,3,2,1368000,7700850,0,3121984,1900,2012,0,Greenwich Village Historic District, ,5.39,3.44,2,6.5,1,1005910040,0,73,983196,206383,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,394.7857986,8187.560201,6332850,9,0,4155,4155,37,8325,23.46111107,23.46111107,0,23.46111107,0,868.0611095 +4155,MN,875,36,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,143 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,BOSS ALAN,1500,4200,0,4200,0,0,0,0,0,0,2,1,3,1,1,20,75,20,52, ,3,N,5,2,144224,207360,0,0,1940,2013,0,Gramercy Park Historic District, ,2.8,4,0,4,1,1008750036,0,50,988299,207704,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,199.2782337,1622.317592,63136,5,0,4156,4156,8,1800,25.84222221,28.82999992,2.98777771,26.58916664,1.293745699,212.7133331 +4156,MN,387,129,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,640 EAST 6 STREET,R8B, , , , , , , , , ,N,G1,10,0,O,NEW YORK CITY HSG AUT,4074,1100,1100,0,0,0,1100,0,0,0,2,1,1,0,1,41.92,97,0,0, ,0,N,5,5,91800,122400,91800,122400,1993,0,0, , ,0.27,4,0,4,1,1003870129,0,2601,989750,202912,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,283.6722347,4140.832406,30600,1,1,4157,4157,18,4050,9.43999958,11.64000034,2.200000763,10.32510471,0.761498715,185.8518848 +4157,MN,822,15,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,27 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,27 SWEST STREET LLC,9200,100800,100800,0,92400,8400,0,0,0,0,2,1,12,0,62,100,92,100,84,E,0,N,5,2,1800000,11805750,0,0,1908,0,0,Ladies' Mile Historic District, ,10.96,10,10,10,1,1008220015,0,54,986274,209114,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,394.9406035,9746.875847,10005800,7,0,4158,4158,43,9675,34.23199844,36.05066681,1.818668365,34.27429306,0.274100421,1473.794601 +4158,MN,153,1,101,31,1017,2,1,10007,E006,5,15,7700,1,1,3A,280 BROADWAY,C6-4, , , , , , , , , ,N,O3,5,0,C,DCAS,34413,239671,239671,0,168492,42079,26000,0,0,3100,2,1,7,0,5,151.25,207,151.7,225, ,2,Y,3,0,3239550,35047350,3239550,35047350,1910,2001,2001,African Burial Ground & The Commons Hist,FORMER EMIGRANT INDUSTRIAL SAVINGS,6.96,10,10,10,1,1001530001,0,31,982683,199491,12b, ,101S020,10105, ,1001530001,9/1/2015,1, , ,17V1.1,0,745.0338349,34016.66972,31807800,14,0,4159,4159,153,34425,28.96222305,32.77666855,3.814445496,29.6619598,0.485234439,4538.27985 +4159,MN,805,67,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,110 WEST 30 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,"SWS REALTY CO., LLC",3996,23527,19605,3922,0,3000,0,16605,0,0,2,1,7,6,14,36.67,106,37,106, ,3,Y,5,2,513000,1611450,0,0,1924,1975,0, , ,5.89,0,10,10,1,1008050067,0,95,986907,211561,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,285.6123871,3885.661821,1098450,6,0,4160,4160,17,3825,34.63499832,38.58499908,3.950000763,34.86735131,0.929411944,592.7449722 +4160,MN,847,7501,105,52,1002,2,2,10003,E014,13,15,5700,1,5, ,880 BROADWAY,M1-5M, , , , , , , , , ,N,RI,5,0,P,OWNER / AGENT,13232,76406,76406,0,0,20616,0,0,55790,0,2,1,6,0,2,128.54,143,129,143, ,3,Y,3,2,2540700,10622250,0,0,1900,0,0,Ladies' Mile Historic District, ,5.77,0,5,6.5,1,1008477501,55,52,987104,208199,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,7,484.9647867,13954.1808,8081550,7,0,4161,4161,61,13725,36.35800171,43.17889023,6.820888519,36.9411309,1.719694129,2253.408985 +4161,MN,753,56,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,324 WEST 30 STREET,R8B, , , , , , , , , ,N,D5,3,0, ,FRENCH APTS HOUSING D,26070,147888,0,147888,0,0,0,0,0,0,2,1,13,223,223,176,197.5,147,87, ,3,Y,4,1,1971000,22113000,0,0,1928,1981,0, , ,5.67,4,0,4,1,1007530056,0,97,985118,212511,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,757.004376,26765.31025,20142000,6,0,4162,4162,118,26550,28.20800018,38.82110977,10.61310959,30.07790027,3.196267698,3549.192232 +4162,MN,596,7501,102,37,1002,2,3,10014,E024,1,15,6800,1,2, ,500 WASHINGTON STREET,M2-4, , , , , , , , , ,N,RG,10,0,C, ,85450,430887,430887,0,0,0,430887,0,0,0,2,1,5,0,2,413.7,190.55,0,0, ,0,Y,0,5,5860349,35125200,4981297,30790800,2011,0,0, , ,5.04,0,5,0,1,1005967501,2206,37,981412,204078,12a, ,103 001,10208, ,1005960050,9/28/2010,1,1,1,17V1.1,7,1257.523136,87083.61439,29264900,0,1,4163,4163,386,86850,7.427777767,12.31777763,4.889999866,10.89873054,1.150567171,4206.909989 +4163,MN,501,7502,102,49,1007,2,1,10012,L020,1,15,6800,1,2, ,153 SPRING STREET,M1-5A, , , , , , , , , ,N,RC,5,0, , ,6075,37736,37736,0,22392,15344,0,0,0,0,2,1,6,0,7,49,99,49,99, ,0,Y,5,5,1575001,9462150,0,0,1910,1988,2006,SoHo-Cast Iron Historic District, ,6.21,0,5,6.5,1,1005017502,1600,49,983834,203273,12a, ,11N 071,10206, ,1005010037,11/30/2006,1, , ,17V1.1,7,409.8282003,6398.848939,7887150,0,0,4164,4164,28,6300,15.00755596,15.00755596,0,15.00755596,0,420.2115669 +4164,MN,571,20,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,34 EAST 14 STREET,C6-4, , , , , ,US, , , ,N,K2,5,0, ,"URBAN ON THE SQUAR,",2581,7725,7725,0,0,5150,0,0,0,2575,2,1,2,0,1,25,103.25,25,103, ,3,N,5,2,531000,3470850,0,0,1978,0,0, , ,2.99,10,10,10,1,1005710020,0,61,986419,207086,12c, ,103 022,10207, ,0, ,1, , 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ASSOCS,10325,45000,45000,0,35500,9500,0,0,0,0,2,1,5,0,34,100,103.25,100,103,E,3,N,5,2,2205000,5680350,0,0,1906,1983,0, , ,4.36,6.02,6,6.5,1,1008160016,0,54,985518,207811,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,418.7332665,10942.95153,3475350,7,0,4167,4167,49,11025,28.19599915,29.45733261,1.261333466,28.22174064,0.178342339,1382.865292 +4167,MN,569,7504,102,61,1002,2,2,10003,L003,6,15,5700,3,2, ,13 EAST 11 STREET,R7-2, , , , , , , , , ,N,R4,3,0, , ,9723,51671,0,51671,0,0,0,0,0,0,2,2,9,115,115,94.2,103.25,0,0, ,0,N,0,5,657009,5176817,0,0,1903,0,0,Greenwich Village Historic District, ,5.31,3.44,0,6.5,1,1005697504,1028,61,985875,206656,12c, ,103 022,10207, ,1005690034,12/29/1998,1, , ,17V1.1,7,401.2021096,10027.40187,4519810,8,0,4168,4168,43,9675,34.23333359,36.46777725,2.234443665,34.45316678,0.346117671,1481.486172 +4168,MN,387,44,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,283 EAST 4 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,283-285 E 4TH ST HOUS,4760,20460,0,20460,0,0,0,0,0,0,2,1,6,36,36,49.5,96.17,50,77, ,1,N,5,1,180000,744750,180000,371286,1920,1980,0, , ,4.3,4,0,4,1,1003870044,0,2601,989584,202603,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,291.4323756,4767.363599,564750,1,1,4169,4169,22,4950,11.63300037,14.43555546,2.802555084,11.9586821,0.79337459,263.0910063 +4169,MN,582,31,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,40 LEROY STREET,C2-6, , , , , , , , , ,N,A5,1,0, ,"STEPHEN F. LAPPERT, T",938,3650,0,2850,0,0,0,0,0,0,2,1,3,1,1,18.75,50,19,50,E,3,N,3,1,75654,217909,0,0,1910,2007,2000,Greenwich Village Historic District Exte, ,3.89,3.44,2,6.5,1,1005820031,0,67,983049,205348,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,140.4092702,988.6787454,142255,9,0,4170,4170,3,675,15.38333321,15.38333321,0,15.38333321,0,46.14999962 +4170,MN,573,22,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,40 WEST 10 STREET,R6, , , , , , , , , ,N,A7,1,0, ,RIVENDELL HOUSE LLC,2245,6136,0,6136,0,0,0,0,0,0,2,1,3,1,1,24.33,92.25,24.33,88, ,3,N,5,2,174300,520906,0,0,1899,2007,2010,Greenwich Village Historic District, ,2.73,2.43,0,4.8,1,1005730022,0,63,984963,206698,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.3567711,2353.771496,346606,8,0,4171,4171,11,2475,18.98099899,20.9984436,2.017444611,19.16440305,0.579974548,210.8084335 +4171,MN,503,21,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,115 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,431 HOLDING COMPANY,4000,20034,3000,17034,0,3000,0,0,0,0,2,1,6,26,30,53.17,75,51,73, ,3,N,3,2,513000,4449600,0,0,1900,1982,0,Sullivan-Thompson Historic District, ,5.01,3.44,0,6.5,1,1005030021,0,49,983729,203812,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,262.2562316,4220.1556,3936600,0,0,4172,4172,18,4050,15.37666702,18.7266674,3.350000381,15.6315065,0.802218009,281.3671169 +4172,MN,966,50,106,86.01,2003,2,4,10016,L007,17,13,5000,1,6,2B, MARGINAL STREET,M2-3, , , , , , , , , ,N,T9,7,0,C,NYC DSBS,24375,5950,5950,0,0,0,5950,0,0,0,2,1,1,0,0,278,85,70,85, ,0,Y,2,5,1197000,1512450,1197000,1512450,1910,0,0, , ,0.24,0,2,0,1,1009660050,0,8601,992204,210081,8d, ,104 026,10310, ,0, ,1,1,1,17V1.1,0,277.3102568,3240.265629,315450,10,1,4173,4173,7,1575,0,0,0,0,0,0 +4173,MN,910,5,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,203 EAST 29 STREET,C2-8,R8B, , , , , , , , ,Y,S1,4,0, ,LEMBECK WILLIAM,805,1920,480,1440,0,480,0,0,0,0,2,1,3,1,2,33.08,24.33,20,24, ,2,N,5,5,84348,107827,0,0,1901,0,0, , ,2.39,10,2,10,1,1009100005,0,70,989822,209788,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,120.7014433,898.1197843,23479,10,0,4174,4174,4,900,34.88199997,39.63444519,4.752445221,36.07011127,2.057869146,144.2804451 +4174,MN,600,29,102,69,1014,2,3,10014,E024,6,15,6400,1,2,1B,575 WASHINGTON STREET,M1-5, , , , , , , , , ,N,G1,10,0,P,"438 WEST 19TH STREET,",13495,27082,27082,0,0,0,27082,0,0,0,2,1,2,0,2,100,156.83,100,156.84, ,2,Y,3,2,909000,3871800,0,0,1925,0,0, , ,2.01,0,5,6.5,1,1006000029,0,69,981798,205048,12a, ,103 001,10208, ,0, ,1, ,1,17V1.1,0,522.1954185,14168.68938,2962800,9,1,4175,4175,62,13950,10.88599968,13.53555584,2.64955616,11.12327211,0.64608563,689.6428709 +4175,MN,621,71,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,71 CHARLES STREET,R6, , , , , , , , , ,N,C2,2,0, ,JOAN S MCALLISTER,1900,4060,0,4060,0,0,0,0,0,0,2,1,3,5,5,20,95.25,20,54,E,3,N,5,5,189578,317987,0,0,1905,1984,0,Greenwich Village Historic District, ,2.14,2.43,0,4.8,1,1006210071,0,73,983131,207044,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,238.6992946,2022.513339,128409,8,0,4176,4176,10,2250,24.81222343,27.10666656,2.29444313,25.42400036,0.794003399,254.2400036 +4176,MN,764,7,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,253 WEST 14 STREET,C6-2A, , , , , , , , , ,N,D9,3,0, ,"FRAYDUN ENTERPRISES,L",7486,39628,14972,24656,0,14972,0,0,0,0,2,1,6,46,47,72.5,103.25,73,103,E,3,N,5,2,886500,4488300,0,0,1930,1972,0, , ,5.29,6.02,6,6.5,1,1007640007,0,81,983754,208786,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,370.4163892,8209.513222,3601800,7,0,4177,4177,36,8100,22.05333328,22.9893322,0.935998917,22.07933325,0.153817896,794.8559971 +4177,MN,637,30,102,75,1008,2,3,10014,L005,6,15,6400,1,2,2K,688 WASHINGTON STREET,C1-6A,R6A, , ,C1-5, , , , , ,Y,C6,2,0,P,WVH HOUSING DEVELOPME,10764,37620,600,37020,0,600,0,0,0,0,2,2,5,21,22,108.67,89.17,100,89, ,0,Y,3,5,450000,2417400,450000,2417400,1973,0,0, , ,3.49,4,2,4,1,1006370030,0,75,981823,206793,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,419.0360805,10754.9253,1967400,9,1,4178,4178,48,10800,13.20899963,17.56666756,4.357667923,14.0992498,1.480986988,676.7639904 +4178,MN,298,11,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,34 ORCHARD STREET,C6-2, , , , , , , , , ,N,S9,4,0, ,J.F.M.T. REALTY ASSOC,1612,4947,1300,3647,0,1300,0,0,0,0,2,1,4,6,8,24.83,65,25,47, ,2,N,5,1,100499,276757,0,0,1900,1987,0, , ,3.07,6.02,6,6.5,1,1002980011,0,16,986678,200041,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,184.0027131,1653.780768,176258,13,0,4179,4179,8,1800,37.64699936,37.64699936,0,37.64699936,0,301.1759949 +4179,MN,593,3,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,141 WAVERLY PLACE,R6, , , , , , , , , ,N,C6,2,0, ,5-7 GARY ST OWNERS CO,1650,6300,1250,5050,0,1250,0,0,0,0,2,2,4,12,13,20.33,76.58,20,77, ,3,Y,3,2,82350,853650,0,0,1900,1986,0,Greenwich Village Historic District, ,3.82,2.43,0,4.8,1,1005930003,0,71,984108,206462,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,210.3137524,1862.194483,771300,8,0,4180,4180,8,1800,17.50333405,18.14444542,0.641111374,17.62708402,0.22644935,141.0166721 +4180,MN,622,35,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,284 WEST 11 STREET,C1-6, , , , , , , , , ,N,B3,1,0, ,OVERLAND NYC LLC,740,2812,0,2812,0,0,0,0,0,0,2,1,4,2,2,19.5,37.83,19.5,37.42, ,3,Y,5,2,30386,108104,0,0,1899,0,0,Greenwich Village Historic District, ,3.8,3.44,2,6.5,1,1006220035,0,73,982906,207374,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,115.2646812,719.1866026,77718,8,0,4181,4181,4,900,24.5988884,24.5988884,0,24.5988884,0,98.39555359 +4181,MN,279,69,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,12 OLIVER STREET,R7-2,C6-1G, , , , ,TA, , , ,Y,M1,8,0,X,MARINERS TEMPLE ETC,11000,11140,11140,0,0,0,0,0,0,11140,2,2,1,0,2,90,127,84,116, ,2,Y,3,2,981000,1671750,981000,1671750,1900,0,0, ,MARINERS TEMPLE,1.01,3.44,0,6.5,1,1002790069,0,27,984881,199029,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,448.5905224,11602.14964,690750,16,0,4182,4182,51,11475,24.60888863,28.46477699,3.855888367,27.52672094,0.470977901,1403.862768 +4182,MN,779,52,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,214 WEST 30 STREET,M1-6D, , , , , , , , , ,N,D5,3,0,P,214 WEST 30TH REALTY,2271,30360,7590,22770,0,3036,0,2277,2277,0,2,1,12,11,12,23,98.75,23,99, ,3,N,5,2,179100,1154700,0,0,1927,0,0, , ,13.37,10,10,10,1,1007790052,0,95,986078,212022,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,252.3571351,2381.125685,975600,6,0,4183,4183,10,2250,31.05999947,31.05999947,0,31.05999947,0,310.5999947 +4183,MN,205,18,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1A,174 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,174 HESTER ST. LLC,2561,11300,1500,9800,0,1500,0,0,0,0,2,1,6,19,20,25,100.75,25,88, ,3,N,5,2,114750,685800,0,0,1910,0,0, , ,4.41,6.02,6,6.5,1,1002050018,0,41,984894,200807,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,253.9200143,2474.447798,571050,0,0,4184,4184,11,2475,31.4109993,33.64122009,2.230220795,31.81001941,0.846585655,349.9102135 +4184,MN,439,28,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4A,191 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,VILLAGE JV 191-193 AV,2695,10730,2730,8000,0,2730,0,0,0,0,2,3,4,3,5,38.5,70,39,70, ,3,N,3,2,63936,556952,0,0,1900,0,2008, , ,3.98,4,0,4,1,1004390028,0,34,989338,204897,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,222.8280209,2854.699092,493016,12,0,4185,4185,14,3150,16.62800026,17.24733353,0.619333267,16.781397,0.249592435,234.939558 +4185,MN,769,60,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,240 WEST 20 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,HEMA LLC,2231,6000,0,6000,0,0,0,0,0,0,2,1,4,10,10,24,92.75,24,47, ,3,Y,5,1,67534,313839,0,0,1920,1972,0, , 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LLC,3060,12860,2387,10473,0,2387,0,0,0,0,2,1,6,21,23,38.67,99.58,39,84, ,3,Y,5,2,352800,1645650,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.2,2.43,0,4.8,1,1005270007,0,67,983332,204930,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,270.4568862,3082.580008,1292850,9,0,4201,4201,14,3150,15.38333321,15.38333321,0,15.38333321,0,215.3666649 +4201,MN,419,7501,103,18,7001,2,1,10002,L006,5,14,7400,1,3, ,302 BROOME STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2494,10420,5837,4583,1991,3846,0,0,0,0,2,1,6,8,12,24.75,100.75,24.75,80, ,0,N,5,5,89999,2262152,12210,12210,1990,0,0, , ,4.18,4,4,4,1,1004197501,824,18,986412,201202,12c, ,101N078,10204, ,1004190076,12/26/1992,1, , ,17V1.1,7,264.9110917,2767.496182,2172150,13,0,4202,4202,12,2700,39.86888886,39.86888886,0,39.86888886,0,478.4266663 +4202,MN,350,60,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,313 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C6,2,0,P,309 313 EAST 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CALLEN TRUS,3732,9565,1700,7865,0,1700,0,0,0,0,2,1,5,8,10,27,137,27,136, ,3,N,5,1,141573,732930,0,0,1900,0,0,NoHo Historic District,428 LAFAYETTE STREET BUILDING,2.56,0,5,6.5,1,1005450040,0,57,986323,204944,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,339.7879539,3944.621907,591357,9,0,4215,4215,17,3825,38.29555511,38.29555511,0,38.29555511,0,651.024437 +4215,MN,473,51,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,134 GRAND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,IRONCLAD ARTISTS INC,12616,71413,12264,59149,0,12264,0,0,0,0,2,2,6,17,19,100.92,125.42,99,121,E,1,N,5,2,720000,7525800,288069,288069,1900,1974,2013,SoHo-Cast Iron Historic District Extensi, ,5.66,0,5,6.5,1,1004730051,0,45,984400,201790,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,471.5822505,13716.43269,6805800,0,0,4216,4216,62,13950,23.06555557,25.13555717,2.070001602,23.19374558,0.422927446,1438.012226 +4216,MN,548,7501,102,57,2000,2,1,10003,E033,6,15,5700,2,2, ,60 EAST 8 STREET,C6-4, , , , , , , , , ,N,RM,4,0, ,GEORGETOWN PLZ OWNERS,36050,512503,67352,445151,55837,11515,0,0,0,0,2,1,31,389,390,200.5,187,187,200, ,0,Y,5,5,8442000,61585200,400718,400718,1965,1986,0, , ,14.22,10,10,10,1,1005487501,797,57,986169,205417,12c, ,103 023,10207, ,1005480054,1/7/1992,1, , ,17V1.1,7,767.2252734,36689.04985,53143200,8,0,4217,4217,162,36450,34.39333344,41.01111221,6.617778778,37.21461706,0.798263905,6028.767963 +4217,MN,519,70,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,180 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,180 VARICK LLC,19575,329116,327924,1192,308564,19360,0,0,0,0,2,1,17,1,108,201.17,98.17,201.17,98.17, ,0,N,3,2,4405500,44959500,0,0,1929,2005,2013, , ,16.81,0,10,10,1,1005190070,0,37,982826,204318,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,603.6227335,20016.44121,40554000,0,0,4218,4218,92,20700,16.83888817,18.80444336,1.965555191,16.94329643,0.376871036,1558.783272 +4218,MN,743,74,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,350 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CLAY COURT APT CORP,1534,4634,0,4634,0,0,0,0,0,0,2,1,4,9,9,16.67,92,17,59, ,3,N,5,2,81763,381715,4720,4720,1900,1969,0,Chelsea Historic District, ,3.02,3,0,3,1,1007430074,0,89,983664,210387,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,224.9728377,1607.528698,299952,7,0,4219,4219,6,1350,15.57888889,16.19766617,0.618777275,15.68201844,0.230604675,94.09211063 +4219,MN,797,7506,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,116 WEST 22 STREET,C6-3A, , , , , , , , , ,N,R1,2,0, , ,2469,15866,0,15866,0,0,0,0,0,0,2,1,10,10,10,25,98.75,50,200, ,0,N,0,5,72223,1545320,0,0,2006,2005,2005, , ,6.43,7.52,6,7.5,1,1007977506,1635,87,985842,209752,8d, ,103 030,10305, ,1007970129,1/8/2007,1, , ,17V1.1,7,248.6010509,2487.498736,1473100,7,0,4220,4220,11,2475,28.16444397,28.16444397,0,28.16444397,0,309.8088837 +4220,MN,398,43,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,190 EAST 2 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,190-192 EAST 2ND STRE,5088,20994,4000,16994,0,4000,0,0,0,0,2,1,6,28,32,48,106,48,92, ,3,N,5,2,154800,2451600,0,0,1900,0,0, , ,4.13,4,0,4,1,1003980043,0,3002,988699,202498,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,314.4123452,5224.140473,2296800,1,0,4221,4221,24,5400,19.43000031,26.78111076,7.351110458,20.01181507,1.696832743,480.2835617 +4221,MN,496,7502,102,43,3003,2,1,10012,L020,5,15,6800,1,2, ,93 CROSBY STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,THE 93 CROSBY ST COND,1747,11488,2478,9010,0,1619,0,679,0,180,2,1,6,5,6,25.83,69,25,65, ,0,N,5,5,30602,690742,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,6.58,0,5,6.5,1,1004967502,1677,43,985035,202806,12c, ,101N075,10206, ,1004960008,5/18/2007,1, , ,17V1.1,7,193.9587827,1840.472616,660140,0,0,4222,4222,9,2025,36.19744492,36.64899826,0.451553345,36.59882567,0.141909525,329.389431 +4222,MN,574,24,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,40 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,JOHNSTON CHARLES,2037,3672,0,2718,0,0,0,0,0,0,2,1,3,2,2,21.5,94.75,21,42, ,3,N,5,1,70889,246967,0,0,1899,0,0,Greenwich Village Historic District, ,1.8,2.43,0,4.8,1,1005740024,0,63,985149,206880,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,238.182008,2151.0464,176078,8,0,4223,4223,9,2025,24.13299942,25.36888886,1.235889435,24.27032047,0.388402578,218.4328842 +4223,MN,530,5,102,55.02,2001,2,1,10012,L009,9,15,5700,1,2,2A,678 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,EM REAL ESTATE L L C,3705,18525,18525,0,15025,3500,0,0,0,0,2,1,5,0,1,28.5,130,28.5,130, ,3,N,5,2,337500,3577050,0,0,1900,0,0,NoHo Historic District, ,5,0,5,6.5,1,1005300005,0,5502,985735,204299,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,329.5474835,3804.803128,3239550,9,0,4224,4224,17,3825,40.28888702,40.38700104,0.098114014,40.38122963,0.02308565,686.4809036 +4224,MN,830,41,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,256 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0,P,"256 5TH AVENUE, LLC",2467,12899,12899,0,10899,2000,0,0,0,0,2,1,6,0,6,24.67,100,25,100,E,3,N,5,2,337500,937350,0,0,1915,0,0,Madison Square North Historic District, ,5.23,10,10,10,1,1008300041,0,76,987740,210735,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,261.704347,2810.383877,599850,11,0,4225,4225,12,2700,42.65200043,44.0340004,1.381999969,43.3972222,0.462728094,520.7666664 +4225,MN,764,73,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,96 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0,P,LA TAZA DE ORO LLC,1421,3141,785,2356,0,785,0,0,0,0,2,1,3,2,3,19.33,73.5,19.33,52, ,0,N,5,5,58387,137391,0,0,1920,2015,0, , ,2.21,4,2,4,1,1007640073,0,81,983727,208930,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,185.6781946,1421.164008,79004,7,0,4226,4226,6,1350,22.05333328,22.05333328,0,22.05333328,0,132.3199997 +4226,MN,190,43,101,33,3013,2,1,10013,E007,1,15,7700,1,1,3B,246 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,O5,5,0,P,BIGFOOT PROPERTIES IN,582,2350,2350,0,1710,640,0,0,0,0,2,1,4,0,4,16.08,36.25,16,40, ,2,Y,5,2,79200,369900,0,0,1910,1984,1991, , ,4.04,6.02,6,6.5,1,1001900043,0,33,982589,201577,12a, ,101N041,10105,E-257,0, ,1, ,1,17V1.1,0,119.5522673,726.777854,290700,14,1,4227,4227,2,450,9.793333054,9.793333054,0,9.793333054,0,19.58666611 +4227,MN,390,61,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,189 EAST 7 STREET,R8B, , , , , , , , , ,N,A4,1,0,P,"CHANG, WONWOO",987,2183,0,2183,0,0,0,0,0,0,2,1,4,1,1,20,49.58,20,46, ,3,Y,5,2,11165,29030,1550,1550,1860,0,0, , ,2.21,4,0,4,1,1003900061,0,2602,989650,203391,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,134.6306006,886.127794,17865,12,1,4228,4228,4,900,9.445555687,9.445555687,0,9.445555687,0,37.78222275 +4228,MN,343,67,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,53 PITT STREET,R8A, , , , , , , , , ,N,D1,3,0, ,53 PITT DEVELOPMENT L,2200,14938,0,14938,0,0,0,0,0,0,2,1,7,14,14,22,100,22,97,E,0,N,5,5,157500,1514250,0,0,1900,2008,2011, , ,6.79,6,0,6,1,1003430067,0,12,988911,200739,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,253.8920145,2379.114207,1356750,13,0,4229,4229,12,2700,19.3544445,21.14999962,1.795555115,19.5040741,0.496265217,234.0488892 +4229,MN,745,43,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,308 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,308 WEST 22ND ST. LLC,1975,4460,0,4460,0,0,0,0,0,0,2,1,3,8,8,20,98.75,20,54, ,3,N,5,1,42645,206819,0,0,1900,0,0, , ,2.26,3,0,3,1,1007450043,0,89,984340,210584,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,236.4909946,1881.906907,164174,7,0,4230,4230,7,1575,15.9989996,22.01444435,6.015444756,16.85834885,2.104967175,118.0084419 +4230,MN,445,43,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,87 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,87 E. 3RD REALTY LLC,2404,8847,0,8847,0,0,0,0,0,0,2,1,5,20,20,25,96.17,25,70, ,0,N,5,2,187650,823950,0,0,1900,0,0, , ,3.68,4,0,4,1,1004450043,0,38,987587,203420,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,248.3758546,2471.123674,636300,1,0,4231,4231,11,2475,29.97444344,31.39999962,1.425556183,30.33353459,0.587909581,333.6688805 +4231,MN,720,22,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,451 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,451 WEST OWNERS LTD,1234,3860,0,3860,0,0,0,0,0,0,2,1,5,8,8,12.5,98.75,13,54, ,3,N,5,2,67142,313740,1180,1180,1900,1988,0,Chelsea Historic District Extension, ,3.13,3,0,3,1,1007200022,0,93,983344,211318,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,213.5389953,1180.375073,246598,2,1,4232,4232,5,1125,9.369999886,9.369999886,0,9.369999886,0,46.84999943 +4232,MN,873,31,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,141 EAST 17 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,BLAUSTEIN ALFRED H,2300,6720,1750,4970,0,1750,0,0,0,0,2,1,3,2,3,25,92,25,70, ,3,N,5,5,159567,282009,4655,4655,1920,0,0, , ,2.92,4,0,4,1,1008730031,0,50,988060,207287,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,238.6692,2400.755102,122442,5,0,4233,4233,11,2475,30.96199989,33.70000076,2.73800087,31.41317159,0.933020182,345.5448875 +4233,MN,491,16,102,37,3009,2,3,10013,L008,1,15,6800,1,2,1B,137 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,21727,84619,84619,0,0,0,0,0,0,84619,2,1,5,0,2,168.75,152.83,168,151, ,2,Y,3,2,3500100,7532100,3500100,7532100,1905,0,0, , ,3.89,0,10,10,1,1004910016,0,37,982853,203286,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,653.5942219,22241.67413,4032000,0,0,4234,4234,100,22500,15.03499985,19.12444496,4.089445114,15.17984987,0.699705787,1517.984987 +4234,MN,613,41,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,43 PERRY STREET,R6, , , , , , , , , ,N,B1,1,0, ,WIDJAJA S. HATTA,1900,3000,0,3000,0,0,0,0,0,0,2,2,3,2,2,20,95,20,50,E,3,Y,5,5,43917,210124,1550,1550,1980,2005,0,Greenwich Village Historic District, ,1.58,2.43,0,4.8,1,1006130041,0,73,983441,207350,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,266.3687298,2074.739295,166207,8,0,4235,4235,9,2025,25.34199905,27.88222313,2.540224075,25.62424617,0.798315409,230.6182156 +4235,MN,476,7501,102,47,2001,2,3,10013,L008,1,15,6800,1,2, ,527 BROOME STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,374 W BROADWAY CONDO,2400,21175,3710,17465,0,3710,0,0,0,0,2,1,6,5,7,40,60.5,40,61, ,0,N,5,5,72091,989594,0,0,1950,0,0,Sullivan-Thompson Historic District, ,8.82,0,5,6.5,1,1004767501,813,47,983108,202951,12a, ,101N069,10206, ,1004760021,12/12/1992,1, ,1,17V1.1,7,217.8127613,2651.185856,917503,0,1,4236,4236,12,2700,9.686666489,10.70555592,1.018889427,9.771573941,0.281606161,117.2588873 +4236,MN,619,24,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,220 WEST 10 STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,WILLIAM GOTTLIEB,3850,11085,0,11085,0,0,0,0,0,0,2,2,5,22,22,42.83,91.67,21,57, ,3,Y,5,1,225000,1296900,0,0,1925,0,0,Greenwich Village Historic District, ,2.88,3.44,2,6.5,1,1006190024,0,73,982904,206610,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,271.6882352,3880.317211,1071900,9,0,4237,4237,18,4050,20.56999969,25.71999931,5.149999619,21.18589475,1.308453595,381.3461056 +4237,MN,619,6,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,512 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,ATHENS BUILDING CORP,1461,2628,867,1761,0,867,0,0,0,0,2,1,3,2,3,21.83,70,21.83,40, ,3,Y,5,5,34944,122649,0,0,1901,0,0,Greenwich Village Historic District, ,1.8,3.44,2,6.5,1,1006190006,0,73,982572,206506,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,176.7010771,1419.010862,87705,9,0,4238,4238,5,1125,20.56999969,20.56999969,0,20.56999969,0,102.8499985 +4238,MN,551,125,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,11 MAC DOUGAL ALLEY,R6, , , , , , , , , ,N,A4,1,0, ,"RICE, CHARLES R",865,1800,0,1800,0,0,0,0,0,0,2,1,3,1,1,24.58,35.17,24.58,25, ,3,N,5,0,51857,158237,0,0,1899,0,0,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1005510125,0,63,984889,206135,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,127.999348,985.5494995,106380,8,0,4239,4239,5,1125,22.1970005,22.1970005,0,22.1970005,0,110.9850025 +4239,MN,41,7503,101,7,1003,2,1,10005,E004,1,15,7700,1,1, ,56 PINE STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,6488,66470,7905,58565,0,7905,0,0,0,0,2,1,16,90,93,46,135,0,0, ,0,Y,0,5,1354494,9448197,0,507565,1893,0,0, ,56-58 PINE STREET BUILDING,10.25,10,15,15,1,1000417503,1186,7,981941,196796,12b, ,11S 006,10101, ,1000410019,12/13/2001,1, , ,17V1.1,7,386.276338,7027.571847,8093700,4,0,4240,4240,31,6975,22.09499931,22.09499931,0,22.09499931,0,684.9449787 +4240,MN,89,12,101,15.01,1005,2,1,10038,E006,1,15,7700,1,1,1B,222 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,RAR2 - 222 BROADWAY O,33340,756138,756138,0,726138,30000,0,0,0,0,2,1,31,0,68,117.92,237,140,228, ,3,Y,3,2,20250000,76545450,0,4842450,1961,2013,0, , ,22.68,10,15,15,1,1000890012,0,1501,981924,198266,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,763.5694564,35068.72097,56295400,3,0,4241,4241,157,35325,34.50888824,37.8433342,3.334445953,36.26112375,0.365293038,5692.996429 +4241,MN,809,67,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,140 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K2,5,0, ,"KLCH ASSOCIATES,",2468,8681,8681,0,2071,2468,0,4142,0,0,2,1,4,0,1,25,98.75,25,98.75,E,3,N,5,2,1336500,6876450,0,0,1910,2011,2000, , ,3.52,10,15,15,1,1008090067,0,101,987096,212636,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,260.6951015,2824.194261,5539950,6,0,4242,4242,13,2925,41.24700165,42.84222031,1.595218658,41.36971078,0.425076887,537.8062401 +4242,MN,489,7,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,67 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,C1,2,0, ,SULLIVAN SPRING REALT,2567,9110,0,9110,0,0,0,0,0,0,2,1,5,12,12,25.67,100,26,69, ,3,N,5,2,91800,560700,0,0,1900,1987,0,Sullivan-Thompson Historic District, ,3.55,0,5,6.5,1,1004890007,0,47,983190,203173,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,255.9459645,2506.49676,468900,0,1,4243,4243,12,2700,9.686666489,13.78888893,4.102222443,10.03066651,1.133168908,120.3679981 +4243,MN,531,7503,102,55.02,1000,2,1,10012,L009,9,15,5700,2,2, ,354 BOWERY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2210,5850,1568,4282,0,0,0,1568,0,0,2,1,5,4,5,19.25,114.75,19.75,114.75, ,0,Y,0,5,89400,579039,0,0,1912,0,0,NoHo Historic District Extension, ,2.65,0,5,6.5,1,1005317503,1287,5502,986462,204104,12c, ,103 010,10207, ,1005310040,4/7/2003,1, , ,17V1.1,7,268.5436707,1979.770538,489639,9,0,4244,4244,9,2025,41.26444626,41.26444626,0,41.26444626,0,371.3800163 +4244,MN,412,75,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,114 STANTON STREET,C4-4A, , , , , , , , , ,N,S5,4,0, ,114 STANTON LLC,1760,8052,2684,5368,0,1342,0,1342,0,0,2,1,6,6,7,22,80,22,61, ,0,N,5,5,187280,906876,0,0,1900,0,0, , ,4.58,4,4,4,1,1004120075,0,3001,987803,202043,12c, ,102 003,10204, ,0, ,1, , 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,17V1.1,0,118.7329552,875.8749696,363600,6,0,4247,4247,4,900,31.09600067,31.09600067,0,31.09600067,0,124.3840027 +4247,MN,63,16,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,183 BROADWAY,C5-5, , , , , ,LM, , , ,N,D7,4,0, ,183 BROADWAY OWNER LL,1942,9106,1821,7285,0,1821,0,0,0,0,2,1,5,4,5,19.5,98.42,20,98, ,3,Y,5,5,349432,913656,0,0,1920,0,0, , ,4.69,10,15,15,1,1000630016,0,13,981493,198054,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,247.7679059,2174.326055,564224,3,0,4248,4248,10,2250,30.83200073,30.83200073,0,30.83200073,0,308.3200073 +4248,MN,620,54,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,84 CHARLES STREET,R6, , , , , , , , , ,N,C6,2,0, ,84-88 CHARLES ST OWNE,3600,13685,0,13685,0,0,0,0,0,0,2,1,6,24,24,37.5,96,37,84, ,3,N,5,2,405000,1416150,33909,33909,1900,1983,0,Greenwich Village Historic District, ,3.8,2.43,0,4.8,1,1006200054,0,73,983125,206898,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,273.4656717,3674.087921,1011150,9,0,4249,4249,17,3825,24.70777702,28.09111214,3.383335114,25.07529348,1.010411628,426.2799892 +4249,MN,906,37,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,238 EAST 26 STREET,R8B, , , , , , , , , ,N,O5,5,0, ,"TEAMCIS, LLC",1975,4598,4598,0,3600,0,0,998,0,0,2,1,3,0,1,20,98.75,20,60,E,3,N,5,2,109350,463950,0,0,1930,0,0, , ,2.33,4,0,4,1,1009060037,0,66,989730,208821,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,245.8933254,2078.128102,354600,11,0,4250,4250,9,2025,30.96199989,30.96199989,0,30.96199989,0,278.657999 +4250,MN,501,10,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,431 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C6,2,0, ,431 BROAD WEST CORP,2500,11875,1000,10875,0,1000,0,0,0,0,2,1,5,4,5,25,100,25,95, ,3,N,5,2,209486,671183,725,725,1920,0,0,SoHo-Cast Iron Historic District, ,4.75,0,5,6.5,1,1005010010,0,49,983986,203511,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,260.5612406,2812.145214,461697,0,0,4251,4251,12,2700,15.00755596,15.00755596,0,15.00755596,0,180.0906715 +4251,MN,907,1,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,201 EAST 26 STREET,C2-8, , , , , , , , , ,N,C4,2,0, ,CHOLSHUNG CORP,1175,4685,995,3690,0,995,0,0,0,0,2,1,4,6,7,24.67,47.5,45,25, ,2,N,3,2,63354,510240,0,0,1930,0,0, , ,3.99,10,2,10,1,1009070001,0,66,989386,209147,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,149.707275,1289.737489,446886,11,0,4252,4252,5,1125,35.85699844,35.85699844,0,35.85699844,0,179.2849922 +4252,MN,297,21,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,17 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,17 ASSETS LLC.,2195,6706,1200,5506,0,1200,0,0,0,0,2,1,5,18,22,25.08,87.5,25,55, ,3,N,5,2,148500,587700,0,0,1900,1987,0, , ,3.06,6.02,6,6.5,1,1002970021,0,16,986964,199872,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,232.0511031,2260.019036,439200,13,0,4253,4253,10,2250,32.98300171,32.98300171,0,32.98300171,0,329.8300171 +4253,MN,527,61,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,42 CARMINE STREET,R6, , , , , , , , , ,N,S2,4,0, ,42 CARMINE ST. ASSOCI,1520,3040,1520,1520,0,1520,0,0,0,0,2,1,3,2,3,19,80,19,40,E,2,N,5,2,49639,115250,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2,2.43,0,4.8,1,1005270061,0,67,983352,205187,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,203.1059358,1553.275126,65611,9,0,4254,4254,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +4254,MN,342,44,103,12,1005,1,1,10002,L018,7,14,7600,1,3,2B, DELANCEY STREET,R7-2, , , ,C2-5, , , , , ,N,T9,7,0,C,NYC DEPT OF HIGHWAYS,29975,14520,14520,0,0,0,0,0,0,14520,7,1,0,0,1,150,199.67,0,0, ,0,N,3,5,1480500,1480500,1480500,1480500,0,0,0, , ,0.48,3.44,0,6.5,1,1003420044,0,12,988765,200513,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,706.7959684,30661.77473,0,13,0,4255,4255,136,30600,19.53333282,23.17000008,3.636667252,21.15367641,0.936346202,2876.899992 +4255,MN,477,76,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,66 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0,P,BROOME PROPERTY OWNER,1456,23839,1907,21932,0,1907,0,0,0,0,2,1,25,10,11,21.33,80,0,0, ,0,Y,5,5,187200,616500,0,0,0,0,0, , ,16.37,0,10,10,1,1004770076,0,37,982659,203017,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,199.0145494,1480.951273,429300,0,1,4256,4256,6,1350,12.38444424,14.57333374,2.188889503,13.17500003,0.704601676,79.05000019 +4256,MN,435,19,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,110 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0,P,110-112 ST. MARKS ASS,3720,15949,3294,12655,0,3294,0,0,0,0,2,1,6,22,24,38.75,112,39,94, ,2,Y,5,2,373500,1942650,0,0,1920,1986,0, , ,4.29,4,0,4,1,1004350019,0,32,988589,204119,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,292.4129103,4252.654721,1569150,12,0,4257,4257,20,4500,18.46888924,20.24200058,1.773111343,18.66344481,0.531495931,373.2688961 +4257,MN,535,1,102,59,3003,2,1,10012,E033,6,15,5700,1,2,2A,44 WEST 4 STREET,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,51205,305900,305900,0,0,0,0,0,0,305900,2,2,11,0,2,245.58,209,221,209, ,1,Y,4,1,6106050,39746250,6106050,39746250,1990,1990,0, , ,5.97,3.44,0,6.5,1,1005350001,0,59,985277,204864,12c, ,103 008,10207, ,0, ,1, , ,17V1.1,0,1055.401104,67620.56902,33640200,9,0,4258,4258,301,67725,33.67111206,39.01888657,5.347774506,37.24012096,1.156515545,11209.27641 +4258,MN,614,20,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,24 BANK STREET,R6, , , , , , , , , ,N,B3,1,0, ,"WARDLE, JEAN",1860,3192,0,2394,0,0,0,0,0,0,2,1,3,2,2,19.5,93,19.5,42,E,3,Y,5,1,52194,199008,0,0,1899,2005,0,Greenwich Village Historic District, ,1.72,2.43,0,4.8,1,1006140020,0,77,983563,207721,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,232.0358205,1831.119137,146814,8,0,4259,4259,7,1575,26.80333328,30.23444366,3.431110382,27.50872993,1.228208357,192.5611095 +4259,MN,879,25,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,139 EAST 23 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,139 EAST 23RD STREET,2568,7012,7012,0,4812,2200,0,0,0,0,2,1,3,0,2,26,98.75,26,93,E,3,N,5,2,504000,1044000,0,0,1910,1966,0, , ,2.73,10,10,10,1,1008790025,0,68,988610,208736,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,253.5720659,2707.01792,540000,11,0,4260,4260,13,2925,26.06111145,26.06111145,0,26.06111145,0,338.7944489 +4260,MN,418,33,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,102 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"100 FORSYTH, LLC",2533,9490,600,8890,0,600,0,0,0,0,2,1,5,19,20,25.33,100,25,71, ,3,N,5,2,154350,919800,0,0,1900,1989,2015, , ,3.75,4,4,4,1,1004180033,0,18,986309,200977,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,256.0064197,2605.922911,765450,13,0,4261,4261,12,2700,37.89666748,37.89666748,0,37.89666748,0,454.7600098 +4261,MN,799,30,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,115 WEST 23 STREET,C6-3X, , , , , , , , , ,N,C7,4,0,P,THE PIANO BUILDING L,4938,27122,5000,22122,0,5000,0,0,0,0,2,1,6,18,19,50,98.75,50,98, ,3,N,5,2,1026000,4136850,0,0,1920,1989,0, , ,5.49,9,6,9,1,1007990030,0,91,986116,210118,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,304.3488088,5117.709119,3110850,2,0,4262,4262,23,5175,29.37700081,29.37700081,0,29.37700081,0,675.6710186 +4262,MN,398,1,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,26 AVENUE A,R7A, , , ,C2-5, , , , , ,N,O2,5,0,P,"MAM REALTY HOLDINGS,",2910,11640,11640,0,11640,0,0,0,0,0,2,1,4,0,5,22,80,22,80, ,3,Y,4,2,392850,2015100,0,0,1926,1980,0, , ,4,4,0,4,1,1003980001,0,3002,988293,202743,12c, ,102 012,10203, ,0, ,1, , 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AND RECREATION,25225,0,0,0,0,0,0,0,0,0,7,1,1,0,0,85,279.33,0,9.67, ,0,N,3,5,972000,1160550,972000,1160550,0,0,0, , ,0,0,0,0,1,1002670050,0,202,989377,199396,12d, ,101N059,10107, ,0, ,1, , ,17V1.1,0,746.0718972,24188.94395,188550,13,0,4288,4288,106,23850,26.18888855,30.94444466,4.755556107,28.77334381,1.117111478,3049.974443 +4288,MN,634,7,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,136 BANK STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,"136-138 BANK STREET,",972,2448,0,1836,0,0,0,0,0,0,2,1,3,3,3,18,55.25,18,34, ,2,Y,5,1,20017,56692,0,0,1937,0,0,Greenwich Village Historic District, ,2.52,4,2,4,1,1006340007,0,75,982002,207451,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,144.6780109,1011.663408,36675,9,0,4289,4289,4,900,13.33333302,15.67666721,2.343334198,13.91916656,1.014693473,55.67666626 +4289,MN,145,7501,101,21,1000,2,1,10007,E007,1,15,7700,3,1, ,105 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,105 CHAMBERS ST ASSOC,7550,53570,42716,10854,21141,21575,0,0,0,0,2,1,5,2,4,50,151.25,50,151.25, ,0,N,5,5,1435501,7480350,0,0,1915,0,0,Tribeca South Historic District,CARY BUILDING,7.1,7.52,6,7.5,1,1001457501,71,21,982043,199872,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,7,415.434383,7827.925486,6044850,14,0,4290,4290,34,7650,21.27222252,27.45355415,6.181331635,21.61572574,1.376511055,734.9346752 +4290,MN,701,28,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,515 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0,P,515 WEST 29TH STREET,4937,36987,1644,35343,0,1644,0,0,0,0,2,1,11,12,13,50,98.75,50,99, ,3,N,5,2,1427400,2570400,0,0,1926,1990,2014, , ,7.49,7.52,6,10,1,1007010028,0,99,983649,213250,8b, ,105S015,10302,E-142,0, ,1, , ,17V1.1,0,302.7416386,5009.270616,1143000,6,0,4291,4291,22,4950,13.46000004,13.46000004,0,13.46000004,0,296.1200008 +4291,MN,271,57,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,152 HENRY STREET,R7-2, , , , , , , , , ,N,M1,8,0,P,CHUNG TE BUDDIST ASSN,4433,37565,37565,0,0,0,0,0,0,37565,2,1,8,0,1,44.33,100,44,100,E,2,N,5,2,399150,2782350,399150,2782350,1940,2006,0, , ,8.47,3.44,0,6.5,1,1002710057,0,6,987121,199115,12d, ,101N056,10107, ,1002710057,2/10/2003,1, , ,17V1.1,0,346.2126641,7220.556656,2383200,16,0,4292,4292,31,6975,17.59499931,25.14333344,7.548334122,21.73766979,2.18497217,673.8677635 +4292,MN,591,9,102,73,4004,2,3,10014,E024,6,15,6400,1,2,2B,315 BLEECKER STREET,C4-5, , , , , , , , , ,N,S9,4,0, ,50 GROVE STREET ASSOC,1125,3459,1280,2179,0,1280,0,0,0,0,2,1,3,3,5,17.08,75,17,75, ,3,Y,3,5,114362,262348,0,0,1910,1985,2012,Greenwich Village Historic District, ,3.07,3.44,3.4,6.5,1,1005910009,0,73,983215,206292,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,183.9082295,1199.799941,147986,9,0,4293,4293,4,900,23.49900055,24.0672226,0.568222046,23.64105606,0.246047363,94.56422424 +4293,MN,410,24,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,113 LUDLOW STREET,C4-4A, , , , , , , , , ,N,K4,4,0,P,C.A.J. REALTY CORP,1789,3505,3505,0,0,3505,0,0,0,0,2,1,3,0,2,20.37,88,20,42,E,3,N,5,2,180000,607050,0,0,1900,1996,2010, , ,1.96,4,4,4,1,1004100024,0,18,987322,201407,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,220.4487576,1819.902821,427050,13,0,4294,4294,7,1575,33.32444382,33.32444382,0,33.32444382,0,233.2711067 +4294,MN,738,1,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,44 9 AVENUE,C6-2A, , , , , , , , , ,N,C5,2,0,P,MEPA REALTY LLC,8150,20161,5000,15161,0,5000,0,0,0,0,2,1,4.75,29,33,111.42,100,111.42,100, ,0,Y,3,2,316350,7294050,0,0,1850,0,0,Gansevoort Market Historic District, ,2.47,6.02,6,6.5,1,1007380001,0,83,982908,209262,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,394.0420057,9088.904024,6977700,7,0,4295,4295,41,9225,16.15333366,16.66777802,0.514444351,16.17072659,0.084350886,662.9997902 +4295,MN,463,22,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,26 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,A. B. ILIBASSI REALTY,3120,11900,1983,9917,0,1983,0,0,0,0,2,1,5,22,23,26,120,26,97, ,3,N,5,1,315000,1548900,0,0,1900,1980,0, , ,3.81,4,0,4,1,1004630022,0,38,987373,204785,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,298.661113,3300.909088,1233900,12,0,4296,4296,14,3150,34.15777969,36.01555252,1.857772827,34.39701734,0.590082854,481.5582428 +4296,MN,921,25,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,349 EAST 14 STREET,C1-7A, , , , , , , , , ,N,C7,4,0, ,349 EAST 14 STREET L,2323,7385,1200,6185,0,1200,0,0,0,0,2,2,4,15,17,22.5,103.25,23,56, ,0,N,5,5,513000,1201950,0,0,1900,2008,0, , ,3.18,6.02,2,6.5,1,1009210025,0,48,989005,205882,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,259.7172183,2441.85399,688950,12,0,4297,4297,10,2250,21.90722275,22.90500069,0.997777939,22.80522289,0.299333382,228.0522289 +4297,MN,874,73,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1A,106 EAST 19 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,106 EAST 19 ASSOCIATE,2300,27585,7235,20350,4235,3000,0,0,0,0,2,1,12,10,13,27,92,25,92, ,3,N,5,2,769500,3132450,0,0,1911,1986,2012, , ,11.99,4,0,4,1,1008740073,0,50,987726,207861,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,243.2568248,2398.793538,2362950,5,0,4298,4298,11,2475,33.91699982,34.18188858,0.264888763,33.94185847,0.075943635,373.3604431 +4298,MN,197,21,101,31,1002,2,1,10013,L001,5,15,7700,1,1, ,246 CANAL STREET,M1-5, , , , , , , , , ,N,K1,5,0, ,615 WEST 131ST STREET,4503,4503,4503,0,0,4503,0,0,0,0,2,1,1,0,7,71.58,75.83,72,76, ,3,Y,3,2,1336500,5942700,0,0,1950,0,0, , ,1,0,5,6.5,1,1001970021,0,31,984107,200900,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,277.9290623,4777.385395,4606200,14,0,4299,4299,21,4725,13.86800003,13.86800003,0,13.86800003,0,291.2280006 +4299,MN,876,1,105,50,1002,2,2,10003,E014,13,14,5300,1,5, ,251 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0, ,"251 PAS LLC, A DELAWA",6210,103384,103384,0,97174,6210,0,0,0,0,2,1,16,0,17,69,90,69,90, ,0,N,3,5,4725000,11201400,0,0,1910,1987,0, , ,16.65,10,10,10,1,1008760001,0,50,987762,208276,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,334.6835716,6836.928603,6476400,5,0,4300,4300,31,6975,31.73777771,35.45999908,3.722221375,32.16850539,1.081738852,997.2236671 +4300,MN,288,33,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,521 GRAND STREET,R7-2, , , , , , , , , ,N,S3,4,0, ,521 EQUITIES INC,1530,7000,3000,4000,0,1500,0,1500,0,0,2,1,4,3,4,25,60.42,25,60, ,3,Y,4,5,365925,532227,0,0,1910,2002,0, , ,4.58,3.44,0,6.5,1,1002880033,0,202,989281,199525,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,184.4791715,1584.15252,166302,13,0,4301,4301,8,1800,29.70800018,30.52555656,0.817556381,29.81019473,0.270381358,238.4815578 +4301,MN,626,31,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,44 HORATIO STREET,R6,C1-6, , , , , , , , ,Y,B9,1,0, ,HORATIO HOME LLC,1240,2100,0,2100,0,0,0,0,0,0,2,1,3,2,2,20.08,63,20.08,35, ,3,Y,5,2,43175,138410,0,0,1899,2015,0,Greenwich Village Historic District, ,1.69,2.43,0,4.8,1,1006260031,0,77,982869,208370,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,174.9056047,1436.334427,95235,8,0,4302,4302,5,1125,17.68444443,18.57777786,0.893333435,17.86311111,0.357333374,89.31555557 +4302,MN,561,3,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,45 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,S4,4,0, ,PLACE EQUITIES LLC,2152,9302,2025,7277,0,2025,0,0,0,0,2,1,5,4,5,27,81,27,81,E,3,Y,5,2,50119,869576,0,0,1950,0,0, , ,4.32,6.02,2,6.5,1,1005610003,0,59,985949,206066,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,219.1021699,2237.707335,819457,8,0,4303,4303,9,2025,32.25444412,32.25444412,0,32.25444412,0,290.2899971 +4303,MN,790,58,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,138 WEST 15 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,138 W 15 ST CORP,2581,7270,0,4745,0,0,0,0,0,0,2,1,3,2,2,25,103.25,25,34, ,3,N,5,1,28553,117405,0,0,1901,0,0, , ,2.82,4,0,4,1,1007900058,0,81,984755,208357,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,260.0173402,2574.319225,88852,7,0,4304,4304,13,2925,27.73777771,30.64222145,2.904443741,28.32796581,1.051622388,368.2635555 +4304,MN,208,4,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1F,123 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,123 LAFAYETTE LLC,3227,17260,17260,0,14260,3000,0,0,0,0,2,1,5,0,8,62.67,51.5,63,52,E,3,N,5,0,275400,1729800,0,0,1920,1989,2001, , ,5.35,0,5,6.5,1,1002080004,0,45,984255,201125,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,235.2540988,3443.38429,1454400,0,0,4305,4305,15,3375,14.22911072,14.81400013,0.584889412,14.7750075,0.145897053,221.6251125 +4305,MN,20,12,101,13,2009,2,1,10006,E010,1,15,7700,1,1, ,47 BROADWAY,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,47 BWAY ACQUISITION C,5122,24170,24170,0,0,15000,0,9170,0,0,2,1,5,0,4,26.25,191,26,185, ,3,Y,4,2,747000,2815200,0,0,1900,1988,0, , ,4.72,10,15,15,1,1000200012,0,13,980599,196735,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,447.1221237,5112.533932,2068200,15,0,4306,4306,22,4950,22.52599907,22.52599907,0,22.52599907,0,495.5719795 +4306,MN,234,1,102,45,1008,2,1,10013,E055,5,15,6800,1,2,1A,2 HOWARD STREET,M1-5B, , , , , , , , , ,N,G1,10,0,P,US GENERAL SERVICES A,12716,65772,65772,0,0,0,65772,0,0,0,2,1,7,0,1,117.58,112.33,110.5,86.58, ,0,Y,3,5,1480500,6738750,1480500,6738750,1964,0,0, , ,5.17,0,5,6.5,1,1002340001,0,45,984423,201313,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,469.5097364,13741.20772,5258250,0,0,4307,4307,62,13950,15.99666691,20.36822319,4.371556282,19.52719207,1.232928151,1210.685908 +4307,MN,280,48,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,25 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0,P,25 EAST BROADWAY REAL,1008,3520,3520,0,0,1760,0,1760,0,0,2,1,5,0,4,21,48,21,48,E,3,Y,5,2,90000,654750,0,0,1910,0,0, , ,3.49,3.44,6,6.5,1,1002800048,0,8,985135,199163,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,142.4824161,1026.867209,564750,16,0,4308,4308,6,1350,29.04899979,34.63666534,5.587665558,29.98027738,2.082400004,179.8816643 +4308,MN,485,11,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,78 GREENE STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,78 GREENE ST INC,2500,13750,13750,0,2292,2292,0,9166,0,0,2,1,6,0,7,25,100,25,100,E,3,N,5,2,225000,1224000,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,5.5,0,5,6.5,1,1004850011,0,49,984133,202817,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,257.8431359,2634.208334,999000,0,0,4309,4309,12,2700,17.71444511,22.13333321,4.418888092,18.08268579,1.221316149,216.9922295 +4309,MN,288,26,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,309 HENRY STREET,R7-2, , , , , , , , , ,N,N2,8,0,P,HENRY ST HSG DVLP FD,3404,15275,15275,0,1400,0,0,0,0,13875,2,1,4,0,1,47,72,47,65, ,0,Y,5,5,351450,1353600,351450,1353600,1991,0,0, , ,4.49,3.44,0,6.5,1,1002880026,0,202,989149,199509,12d, ,101N060,10107, ,1002880026,12/18/1990,1, , ,17V1.1,0,242.8228105,3446.532072,1002150,13,0,4310,4310,15,3375,29.70800018,31.51666641,1.808666229,30.002889,0.552036629,450.043335 +4310,MN,833,57,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,22 WEST 32 STREET,C6-4, , , , , , , , , ,N,L1,6,0, ,MONTAGUE LEE 32 LLC,7407,113000,113000,0,0,12000,0,101000,0,0,2,1,17,0,17,75,98.75,75,99,E,3,N,5,2,1876500,8205300,0,0,1913,2013,0, , ,15.26,10,10,10,1,1008330057,0,76,987869,211617,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,350.5740116,7527.247812,6328800,10,0,4311,4311,33,7425,41.76111221,46.07777786,4.316665649,42.09954314,1.097587013,1389.284924 +4311,MN,722,22,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,425 WEST 24 STREET,R8A, , , , , , , , , ,N,D4,3,0, ,WEST 24TH OWNERS CORP,4905,18700,0,18700,0,0,0,0,0,0,2,2,5,32,32,50,98.75,50,84, ,3,N,5,1,216000,1722150,21350,21350,1900,1980,0, , ,3.81,6,0,6,1,1007220022,0,93,983726,211736,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,306.0853835,5152.12055,1506150,2,1,4312,4312,21,4725,10.68099976,10.68099976,0,10.68099976,0,224.3009949 +4312,MN,728,60,104,103,1008,2,3,10001,L021,10,15,5500,1,4,2A,442 WEST 31 STREET,C6-4, , , , , ,HY, , , ,N,L9,6,0,P,450 WEST 31ST OWNRSCP,13900,112146,112146,0,0,0,0,0,0,112146,2,1,12,0,15,133.33,108.67,133,108.67, ,0,Y,5,2,823500,6373800,0,0,1918,1999,2016, , ,8.07,10,10,10,1,1007280060,0,103,984289,213303,8d, ,105S017,10302,E-137,0, ,1, , ,17V1.1,0,503.8745316,14504.31679,5550300,6,0,4313,4313,63,14175,22.09111023,25.23111153,3.140001297,23.10866625,0.536952281,1455.845974 +4313,MN,195,2,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,384 BROADWAY,C6-2A, , , , , , , , , ,N,O5,5,0,P,FLORENTINE MUSIC & TU,7604,43300,43300,0,35800,7500,0,0,0,0,2,1,6,0,7,41,176.08,41,176, ,3,Y,4,2,463500,2879550,0,0,1915,1988,0,Tribeca East Historic District, ,5.69,6.02,6,6.5,1,1001950002,0,31,983556,200868,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,448.2406781,7805.646113,2416050,14,0,4314,4314,34,7650,17.90200043,17.90200043,0,17.90200043,0,608.6680145 +4314,MN,306,9,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,78 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,GAIN SUN CORP,2506,11760,1960,9800,0,1960,0,0,0,0,2,1,5,17,19,24.67,100.25,25,87, ,3,N,5,2,34200,396900,0,0,1900,0,0, , ,4.69,3.44,6,6.5,1,1003060009,0,16,986161,200596,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,252.6735991,2470.979395,362700,13,0,4315,4315,11,2475,37.59777832,37.86266708,0.264888763,37.62185912,0.076150165,413.8404503 +4315,MN,883,47,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,382 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,D6,4,0, ,KALABI REALTY CO,2962,30800,6540,24260,0,6540,0,0,0,0,2,1,15,36,37,24.67,120,23,110, ,2,N,5,2,580500,3791250,0,0,1984,0,0, , ,10.4,10,2,10,1,1008830047,0,68,989390,209525,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,295.0616497,3064.328864,3210750,11,0,4316,4316,13,2925,33.40789032,40.54733276,7.139442444,35.03947067,2.672217606,455.5131187 +4316,MN,306,38,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,113 HESTER STREET,C6-1G, , , , , , , , , ,N,O2,5,0, ,HESTER STREET LLC,1664,3461,3461,0,3461,0,0,0,0,0,2,1,2,0,2,21.75,76.5,22,77, ,3,N,5,1,58500,319500,0,0,1900,0,0, , ,2.08,3.44,6,6.5,1,1003060038,0,16,986165,200404,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,199.563697,1723.103954,261000,13,0,4317,4317,7,1575,37.59777832,41.41110992,3.813331604,38.14253998,1.334388093,266.9977798 +4317,MN,603,61,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,95 BARROW STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,95 BARROW LLC,900,2592,0,1944,0,0,0,0,0,0,2,1,3,1,1,18,50,18,36, ,3,N,5,1,43835,116893,0,0,1899,2011,0,Greenwich Village Historic District, ,2.88,3.44,2,6.5,1,1006030061,0,69,982290,205803,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,139.5528051,921.9931823,73058,9,0,4318,4318,5,1125,15.32666683,16.83222389,1.50555706,15.62777824,0.602222824,78.13889122 +4318,MN,215,7505,101,39,1020,2,1,10013,L008,1,15,7700,3,1, ,157 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,14899,64231,6018,58213,0,4098,1920,0,0,0,2,1,5,15,16,66.17,176.42,0,0, ,0,Y,3,5,625498,6677550,0,0,0,0,0,Tribeca North Historic District, ,4.31,6.02,6,6.5,1,1002157505,2118,39,981768,202216,12a, ,11N 040,10105, ,1002150027,12/16/2009,1, , ,17V1.1,7,746.553986,15611.22442,6052050,14,0,4319,4319,71,15975,13.36666679,15.95399952,2.587332726,14.85109511,0.411185413,1054.427752 +4319,MN,593,48,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,14 GAY STREET,R6, , , , , , , , , ,N,C5,2,0, ,"MARTIN, CELESTE",990,1544,0,1544,0,0,0,0,0,0,2,1,2.5,8,8,22,45,22,42, ,3,N,5,2,71104,213573,0,0,1910,1987,0,Greenwich Village Historic District, ,1.56,2.43,0,4.8,1,1005930048,0,71,984096,206564,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,136.9253071,1049.733169,142469,8,0,4320,4320,5,1125,17.50333405,17.50333405,0,17.50333405,0,87.51667023 +4320,MN,429,49,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,108 EAST 1 STREET,R8A, , , ,C2-5, , , , , ,N,B9,1,0, ,"ORLIN,AVIGDOR",2118,5040,0,5040,0,0,0,0,0,0,2,1,3,2,2,20,105.92,20,84, ,2,N,5,0,55649,120960,0,0,1910,2000,0, , ,2.38,6,0,6,1,1004290049,0,3002,987908,202626,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,257.5129198,2140.371399,65311,1,0,4321,4321,9,2025,25.1779995,29.84444427,4.666444778,26.68335766,2.130479352,240.150219 +4321,MN,611,6,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,243 WEST 4 STREET,R6,C2-6, , , , , , , , ,Y,A4,1,0, ,"DOVES' NEST NYC TWO,",1672,4124,0,3284,0,0,0,0,0,0,2,1,3,1,1,21.83,76.58,21.83,43.58, ,3,N,5,1,122710,150752,0,0,1915,1997,2009,Greenwich Village Historic District, ,2.47,2.43,0,4.8,1,1006110006,0,73,983455,206932,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,204.7602111,1784.107104,28042,8,0,4322,4322,8,1800,23.83777809,24.06222153,0.224443436,23.86583352,0.074227689,190.9266682 +4322,MN,849,9,105,52,2000,2,2,10003,E014,13,15,5700,1,5,1O,11 EAST 20 STREET,M1-5M, , , , , , , , , ,N,K2,5,0, ,RJR REALTY CO,1325,2600,2600,0,0,2600,0,0,0,0,2,1,3,0,1,18,73.5,18,72,E,3,N,5,2,180000,797400,0,0,1920,1988,0,Ladies' Mile Historic District, ,1.96,0,5,6.5,1,1008490009,0,52,987000,208690,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,191.7847118,1022.299368,617400,7,0,4323,4323,5,1125,40.92599869,40.92599869,0,40.92599869,0,204.6299934 +4323,MN,163,31,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,47 BAYARD STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,"LOUIS NATHIN, INC.",2000,8512,4837,3675,1837,2000,0,1000,0,0,2,1,4,4,7,25.08,80,25,80, ,3,Y,5,2,170550,486000,0,0,1910,0,0, , ,4.26,3.44,6,6.5,1,1001630031,0,29,984955,199797,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,210.7912202,2009.859279,315450,14,0,4324,4324,10,2250,33.5909996,35.90055466,2.309555054,33.82195511,0.692866516,338.2195511 +4324,MN,462,7,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,6 TARAS SHEVCHENKO PL,R8B, , , , , , , , , ,N,M1,8,0,X,ORDER-ST BASIL THE GR,10444,51300,51300,0,0,0,0,0,0,51300,2,1,1,0,3,96,113.58,73,113, ,2,Y,3,2,1057500,7912350,1057500,7912350,1976,0,0, , ,4.91,4,0,4,1,1004620007,0,38,987096,204653,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,426.0160951,10781.44632,6854850,12,0,4325,4325,47,10575,35.00777817,38.91777802,3.909999847,35.54962207,1.087055066,1670.832237 +4325,MN,438,31,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,165 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C5,2,0, ,VILLAGE JV 165 AVENUE,2225,9115,1450,7665,0,1450,0,0,0,0,2,1,5,9,10,23.67,94,24,76, ,3,Y,5,2,17450,130481,0,0,1910,2010,0, , ,4.1,4,0,4,1,1004380031,0,34,989155,204591,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,241.088554,2263.897362,113031,12,0,4326,4326,11,2475,17.98900032,19.71222305,1.723222733,18.28037401,0.564358295,201.0841141 +4326,MN,412,36,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,100 STANTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"FLEMINGTON ESTATES,",2237,9000,1800,7200,0,1800,0,0,0,0,2,1,5,16,20,77,25,25,77, ,3,Y,3,2,315000,1826100,0,0,1910,1996,0, , ,4.02,4,4,4,1,1004120036,0,3001,987594,202097,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,266.3631141,2235.081791,1511100,1,0,4327,4327,10,2250,31.02499962,32.17655563,1.151556015,31.22898846,0.412201551,312.2898846 +4327,MN,447,17,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,322 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,320-326 RO VILLAGE RE,2425,6800,1000,5800,0,1000,0,0,0,0,2,1,5,20,21,25,97,25,52, ,3,N,5,1,159750,1029150,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,2.8,4,0,4,1,1004470017,0,38,987704,204047,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.1660942,2504.046948,869400,1,0,4328,4328,10,2250,28.15800095,31.08444405,2.9264431,29.13588905,1.076941817,291.3588905 +4328,MN,820,53,105,54,1003,2,3,10011,E014,13,15,5700,1,5,1O,12 WEST 19 STREET,C6-4A, , , , , , , , , ,N,K4,4,0, ,12 WEST 19 LLC,2300,5050,2700,2350,0,2700,0,0,0,0,2,1,4,4,6,25,92,25,54,E,3,N,5,1,135000,551700,0,0,1915,1987,0,Ladies' Mile Historic District, ,2.2,10,10,10,1,1008200053,0,54,986366,208615,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,243.140644,2330.923822,416700,7,0,4329,4329,10,2250,35.79800034,38.22777939,2.429779053,36.04097824,0.728933716,360.4097824 +4329,MN,406,8,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,208 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,208 AVE A ASSOCS,2496,11643,1500,10143,0,1500,0,0,0,0,2,1,5,18,19,26,96,26,96,E,2,N,3,2,90000,852750,0,0,1900,2015,0, , ,4.66,4,0,4,1,1004060008,0,34,989612,205058,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,248.5462867,2712.65577,762750,12,0,4330,4330,13,2925,13.0880003,15.97222233,2.884222031,14.09447883,1.279847337,183.2282248 +4330,MN,409,5,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,85 DELANCEY STREET,C6-2A, , , , , , , , , ,N,O5,5,0,P,85 DELANCEY CORP,5450,25200,25200,0,19893,5307,0,0,0,0,2,1,4,0,4,88.46,61.62,88,62, ,3,Y,3,2,720000,2321550,0,0,1935,1977,0, , ,4.62,6.02,6,6.5,1,1004090005,0,18,987110,201113,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,313.2116736,5949.371725,1601550,13,0,4331,4331,28,6300,35.36399841,35.85222244,0.48822403,35.41431604,0.1281613,991.6008492 +4331,MN,306,7,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,74 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,MS FORSYTH LLC,2533,11598,2200,9398,0,2200,0,0,0,0,2,1,6,18,20,24.92,100.25,25,86, ,3,N,5,2,105750,732150,0,0,1900,0,0, , ,4.58,3.44,6,6.5,1,1003060007,0,16,986143,200549,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,253.6162952,2519.106721,626400,13,0,4332,4332,11,2475,37.59777832,39.95333481,2.355556488,37.81191982,0.677174878,415.931118 +4332,MN,517,42,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,181 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,PRINCE STREET ASSOCIA,2388,10680,1425,9255,0,1425,0,0,0,0,2,1,6,22,23,25,95.5,25,79, ,3,N,5,2,293850,1701900,0,0,1905,0,0,Sullivan-Thompson Historic District, ,4.47,3.44,0,6.5,1,1005170042,0,49,983709,203970,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,245.2370239,2440.381424,1408050,9,0,4333,4333,10,2250,17.9011116,17.9011116,0,17.9011116,0,179.011116 +4333,MN,732,58,104,111,2004,2,3,10001,L021,10,15,5500,1,4,2A,444 WEST 35 STREET,R8A, , , ,C2-5, ,HY, , , ,N,D1,3,0, ,434 WEST 35 ST CO,9812,64449,0,64449,0,0,0,0,0,0,2,1,17,86,86,76,98.75,50,98.75, ,0,Y,5,5,558000,7628400,0,0,1989,0,0, , ,6.57,6,0,6,1,1007320058,0,111,984931,214171,8d, ,105S029,10302, ,1007320058,1/4/1990,1, , ,17V1.1,0,409.5885159,10306.14572,7070400,6,0,4334,4334,42,9450,36.17555618,52.08778,15.91222382,44.65293575,4.029558802,1875.423302 +4334,MN,773,9,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,269 WEST 23 STREET,C2-7A, , , , , , , , , ,N,K2,5,0,P,FIFTH JAM DEVELOPMENT,3718,6281,6281,0,0,6281,0,0,0,0,2,1,2,0,3,37.5,98.75,37.5,83.75,E,0,N,5,5,1125000,1505250,0,0,1910,1999,1998, , ,1.69,7.52,2,7.5,1,1007730009,0,91,984879,210803,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,277.5406087,3817.218883,380250,2,0,4335,4335,16,3600,23.38899994,24.64888954,1.259889603,23.46774304,0.304970716,375.4838886 +4335,MN,742,27,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,315 WEST 18 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,MILAGROS PARDO,2024,4400,1100,3300,0,0,0,0,0,1100,2,1,4,15,15,22,92,22,50, ,3,N,5,1,114300,377550,19288,19288,1900,0,0, , ,2.17,3,0,3,1,1007420027,0,89,983859,209893,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,229.8828129,2058.858914,263250,7,0,4336,4336,9,2025,15.59444427,15.87777805,0.283333778,15.62592581,0.089043216,140.6333323 +4336,MN,519,44,102,37,2006,2,3,10014,L020,1,15,6800,1,2,1A,208 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,CHARLTON TENANTS CORP,5812,33204,4000,29204,0,4000,0,0,0,0,2,1,6,46,49,127.08,60,128,60, ,1,Y,3,2,486000,4126050,47610,47610,1930,1983,0,Sullivan-Thompson Historic District, ,5.71,3.44,0,6.5,1,1005190044,0,37,983401,204212,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,357.397402,6486.993433,3640050,9,0,4337,4337,29,6525,22.36555672,24.74777794,2.382221222,22.47475203,0.452751882,651.7678089 +4337,MN,384,26,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,243 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0,P,JD 243 LLC,1600,7545,0,7545,0,0,0,0,0,0,2,1,6,10,10,25.17,65.67,25.17,54, ,0,Y,4,2,36054,171173,0,0,1900,0,0, , ,4.72,6,0,6,1,1003840026,0,2202,989253,202027,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,191.2209269,1762.638056,135119,1,0,4338,4338,7,1575,17.29844475,17.42022133,0.121776581,17.34123775,0.034499686,121.3886642 +4338,MN,619,21,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,228 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0, ,228 W TENTH ST OWNERS,2362,6714,1700,5014,0,1700,0,0,0,0,2,1,4,6,7,21.5,95,22,95,E,3,Y,5,2,58371,469885,0,0,1905,0,0,Greenwich Village Historic District, ,2.84,2.43,0,4.8,1,1006190021,0,73,982828,206590,12a, ,103 012,10210, ,0, ,1, , 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ASSOC.,2306,9410,1568,7842,0,1568,0,0,0,0,2,1,5,22,23,25,92.25,25,74, ,3,N,5,1,332550,1452600,0,0,1920,1984,0, , ,4.08,4,0,4,1,1004370044,0,34,988729,204502,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,239.5314886,2302.215435,1120050,12,0,4340,4340,10,2250,17.51666641,19.76333237,2.246665955,17.74133301,0.673999786,177.4133301 +4340,MN,344,73,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,202 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,H K D C DIVISION RLTY,4560,19442,1000,18442,0,1000,0,0,0,0,2,1,6,32,36,50.58,90.08,51,86, ,3,Y,5,2,405000,1676700,0,0,1920,0,0, , ,4.26,4,0,4,1,1003440073,0,2201,988971,201098,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,285.7168607,4632.635802,1271700,1,0,4341,4341,20,4500,17.05666733,17.48900032,0.432332993,17.07828398,0.094224791,341.5656796 +4341,MN,445,1,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,54 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,54 SECOND AVENUE HOLD,1440,5772,1443,4329,0,1443,0,0,0,0,2,1,4,3,4,24,60,24,60, ,2,N,3,5,58889,66466,0,0,1901,2011,0,East Village/Lower East Side Historic Di, ,4.01,4,0,4,1,1004450001,0,38,987144,203623,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,177.6896149,1647.955,7577,1,0,4342,4342,8,1800,29.97444344,35.27855682,5.304113388,30.63745761,1.754170619,245.0996609 +4342,MN,876,31,106,50,1000,2,2,10010,E005,13,14,5300,1,6,1B,254 3 AVENUE,C1-9A, , , , , , , , , ,N,K4,4,0,P,CITY LIGHTS PROPERTIE,1725,2691,2691,0,941,1750,0,0,0,0,2,1,1.75,0,2,23,75,23,68,E,3,N,5,2,276300,855450,0,0,1999,0,0, , ,1.56,10,2,10,1,1008760031,0,50,988543,207950,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,202.2638484,1785.11622,579150,5,0,4343,4343,8,1800,24.27599907,24.27599907,0,24.27599907,0,194.2079926 +4343,MN,633,43,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,743 GREENWICH STREET,C1-6, , , , , , , , , ,N,G2,10,0, ,"EHA ENTERPRISES, LLC",1707,1707,1707,0,0,0,1707,0,0,0,2,1,1,0,1,20.67,94.17,20,89, ,2,Y,5,0,90000,166050,0,0,1946,1984,0,Greenwich Village Historic District, ,1,3.44,2,6.5,1,1006330043,0,75,982416,207205,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,229.6552437,1720.298151,76050,9,0,4344,4344,6,1350,19.46666718,23.00444603,3.537778854,20.15537103,1.292501787,120.9322262 +4344,MN,644,33,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,823 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,1710,2633,2633,0,0,2633,0,0,0,0,2,1,2,0,2,18.75,98,18.75,60, ,3,Y,5,2,765000,1818000,0,0,1940,0,0,Gansevoort Market Historic District, ,1.54,0,5,6.5,1,1006440033,0,79,982105,208781,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,235.5478013,1758.421696,1053000,8,1,4345,4345,6,1350,13.47799969,13.47799969,0,13.47799969,0,80.86799812 +4345,MN,393,16,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,620 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,620-622 EAST 11TH ST.,2370,10818,0,10818,0,0,0,0,0,0,2,1,6,26,26,25,94.75,25,80, ,3,N,5,1,432900,1663650,0,0,1900,1986,0, , ,4.56,4,0,4,1,1003930016,0,28,990154,204108,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,244.1477998,2451.939261,1230750,12,1,4346,4346,11,2475,7.409999847,8.717778206,1.307778358,7.528888789,0.375959844,82.81777668 +4346,MN,281,25,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,54 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,LEUNG & YUEN LLC,1711,7929,1500,6429,0,1500,0,0,0,0,2,1,6,8,10,24.92,68.67,25,61, ,3,N,5,2,136669,429074,0,0,1910,1987,0, , ,4.63,3.44,6,6.5,1,1002810025,0,8,985496,199337,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,193.4720607,1804.334268,292405,16,0,4347,4347,10,2250,35.10200119,35.10200119,0,35.10200119,0,351.0200119 +4347,MN,397,22,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,181 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,C4,2,0,P,COALITION PLAZA LP,5934,26208,0,26208,0,0,0,0,0,0,2,2,6,50,50,56,105.42,28,90, ,0,Y,5,5,225000,774900,225000,774900,1910,0,0, , ,4.42,4,0,4,1,1003970022,0,3002,988543,202400,12c, ,102 012,10203, ,0, ,1, , 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,17V1.1,0,457.5852064,7876.597971,9780750,7,0,4352,4352,35,7875,40.58744431,44.19333267,3.605888367,41.44560253,0.492044884,1450.596088 +4352,MN,568,17,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,28 EAST 11 STREET,R7-2,C1-7, , , , , , , , ,Y,C6,2,0, ,28 EAST 11TH ST LP,2100,4800,0,4800,0,0,0,0,0,0,2,1,3,7,7,25,94.83,25,48, ,3,Y,5,1,92792,348004,0,0,1900,0,0,Greenwich Village Historic District, ,2.29,3.44,0,6.5,1,1005680017,0,61,985936,206449,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,239.9423562,2036.308784,255212,8,0,4353,4353,9,2025,30.95599937,34.6911087,3.735109329,31.91535738,1.43933897,287.2382164 +4353,MN,873,4,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,213 PARK AVENUE SOUTH,C6-4A,R8B, , , , ,US, , , ,Y,K9,5,0, ,213 P.A.S.,2933,10580,2000,8580,0,2000,0,0,0,0,2,1,5,4,5,25.5,115,25.5,60,E,3,N,5,0,931500,2147400,0,0,1900,0,0, , ,3.61,10,10,10,1,1008730004,0,50,987445,207683,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,300.8734003,3233.71157,1215900,5,0,4354,4354,15,3375,34.90100098,39.17888641,4.277885437,35.46575623,1.439931553,531.9863434 +4354,MN,619,38,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,105 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C6,2,0, ,105 CHRISTOPHER STR O,2313,6450,1375,5075,0,1375,0,0,0,0,2,2,4,10,12,25,93.5,25,54, ,0,Y,5,5,202500,811800,2360,2360,1900,1973,0,Greenwich Village Historic District, ,2.79,2.43,0,4.8,1,1006190038,0,73,982861,206500,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,246.4571634,2499.231528,609300,9,0,4355,4355,11,2475,20.56999969,22.70344543,2.13344574,20.79435331,0.611240434,228.7378864 +4355,MN,410,48,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,107 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,H1,5,0, ,THE DOWNTOWN LLC,5084,59000,4800,0,0,4800,0,0,0,0,2,1,20,0,1,50.84,100,50.84,56, ,0,N,5,5,1125000,13140900,0,0,2003,0,0, , ,11.61,4,4,4,1,1004100048,0,18,987552,201511,12c, ,101N079,10204, ,1004100047,12/20/1988,1, , ,17V1.1,0,307.2061879,5204.872994,12015900,13,0,4356,4356,23,5175,31.33099937,32.75666809,1.425668716,31.45440052,0.399870082,723.4512119 +4356,MN,793,67,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,154 WEST 18 STREET,C6-2A, , , , , , , , , ,N,D0,3,0,P,HELLMUTH OWNERS CORP,8678,64416,6000,58416,0,6000,0,0,0,0,2,1,8,26,27,66,131.58,66,118, ,2,Y,5,2,760500,8120250,7080,7080,1906,1988,2011, , ,7.42,6.02,6,6.5,1,1007930067,0,81,984993,209074,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,392.0775806,8582.343692,7359750,7,0,4357,4357,38,8550,27.66555595,29.69888878,2.033332825,27.82043894,0.467814621,1057.17668 +4357,MN,646,7502,102,79,1001,2,3,10014,L005,6,15,6100,3,2, ,450 WEST 14 STREET,M1-5, , , , , , , , , ,N,RB,5,0, , ,10325,103878,103878,0,92842,11036,0,0,0,0,2,1,15,0,2,100,103.25,100,103.25, ,0,N,0,5,364500,17202150,0,2409548,1934,0,0, , ,10.06,0,5,6.5,1,1006467502,2127,79,982080,209489,8b, ,100 000,10210, ,1006460010,4/20/2012,1, 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,1,1,1,17V1.1,0,1016.600004,64382.89572,1008000,12,1,4360,4360,285,64125,8.236666679,10.94666672,2.710000038,9.393172378,0.71507428,2677.054128 +4360,MN,421,49,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,184 FORSYTH STREET,C4-4A, , , , , , , , , ,N,D9,3,0,P,NYSD FORSYTH HOUSINGD,2500,8594,0,8594,0,0,0,0,0,0,2,1,6,21,21,25,100,25,62, ,0,N,5,5,112500,754650,112500,754650,2001,0,0, , ,3.44,4,4,4,1,1004210049,0,3601,986788,202203,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,256.9221024,2752.302646,642150,13,0,4361,4361,12,2700,40.96300125,41.40222168,0.439220428,41.09113979,0.18007758,493.0936775 +4361,MN,452,34,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,169 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S1,4,0, ,MIB ENTERPRISES LLC,2317,2760,920,1840,0,920,0,0,0,0,2,1,3,1,2,23.17,100,23.17,40, ,3,N,5,5,50029,95056,0,0,1901,0,0, , ,1.19,4,0,4,1,1004520034,0,40,988529,204940,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,247.5775923,2314.051626,45027,12,0,4362,4362,11,2475,22.86222267,24.33222198,1.469999313,23.04783873,0.437119004,253.526226 +4362,MN,418,56,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,276 GRAND STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,DIAMOND WORLD LLC,2192,8493,1699,6794,0,1699,0,0,0,0,2,1,5,6,8,25,87.67,25,83,E,3,N,5,2,46739,294119,0,0,1900,2007,0, , ,3.87,4,4,4,1,1004180056,0,18,986283,200872,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,228.0924814,2249.721812,247380,13,0,4363,4363,10,2250,37.89666748,37.89666748,0,37.89666748,0,378.9666748 +4363,MN,640,69,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,30 BETHUNE STREET,R6, , , , , , , , , ,N,B3,1,0, ,CERNIGLIA ADRIENNE,1367,2448,0,1836,0,0,0,0,0,0,2,1,3,2,2,17,80.42,17,36,E,3,N,5,1,32314,117525,0,0,1899,0,0,Greenwich Village Historic District, ,1.79,2.43,0,4.8,1,1006400069,0,79,982217,207836,12a, ,103 013,10210, ,0, ,1, , 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,1,17V1.1,0,286.9779639,4566.085011,1373850,12,1,4368,4368,19,4275,7.409999847,9.186666489,1.776666641,7.503508618,0.396724115,142.5666637 +4368,MN,608,73,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,167 WEST 12 STREET,R6, , , , , , , , , ,N,K4,4,0, ,"CULINARY ARTS FDTN,IN",2168,3360,2520,840,840,1680,0,0,0,0,2,1,4,1,2,21,103.25,21,40, ,3,N,5,1,135900,550800,0,0,1899,0,0,Greenwich Village Historic District, ,1.55,2.43,0,4.8,1,1006080073,0,71,984299,207832,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,256.025918,2223.81046,414900,8,0,4369,4369,9,2025,24.04400063,28.54555511,4.501554489,24.93335851,1.680411597,224.4002266 +4369,MN,400,54,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,207 EAST 4 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,MUN CHANG,2364,7166,1000,6166,0,1000,0,0,0,0,2,1,5,8,11,24.58,96.17,25,55, ,3,N,5,2,106200,781650,0,0,1900,0,0, , ,3.03,3,0,3,1,1004000054,0,32,988776,203052,12c, ,102 012,10203, ,0, ,1, , 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,17V1.1,0,158.6242729,1103.606654,79155,11,0,4372,4372,5,1125,30.96199989,33.65777969,2.6957798,31.50115585,1.07831192,157.5057793 +4372,MN,859,31,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,37 EAST 29 STREET,C5-2, , , , , , , , , ,N,S9,4,0, ,J & T TSAI INC.,2106,7655,3060,4595,0,1530,0,0,0,1530,2,1,5,6,8,21.33,98.75,21,95,E,3,N,5,5,201188,909028,0,0,1925,0,0, , ,3.63,10,10,10,1,1008590031,0,74,988607,210502,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,252.0176056,2268.97594,707840,11,0,4373,4373,9,2025,37.61255646,39.1230011,1.510444641,38.16398748,0.52318533,343.4758873 +4373,MN,178,6,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,106 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,FSCS-106 LLC,2536,11000,11000,0,0,2400,0,8600,0,0,2,1,5,0,6,25.25,100.83,25,95,E,3,Y,5,2,117450,985050,0,0,1915,1987,0,Tribeca East Historic District, ,4.34,6.02,6,6.5,1,1001780006,0,33,982681,201105,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,263.5899112,2720.710585,867600,14,1,4374,4374,12,2700,9.793333054,9.793333054,0,9.793333054,0,117.5199966 +4374,MN,720,32,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,431 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,431 W 22ND STREET PAR,2469,5000,0,5000,0,0,0,0,0,0,2,1,3,7,7,25,98.75,25,52, ,3,N,5,1,79899,372721,0,0,1900,0,0,Chelsea Historic District Extension, ,2.03,3,0,3,1,1007200032,0,93,983513,211224,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,238.8851064,2374.716079,292822,2,1,4375,4375,11,2475,9.369999886,12.17555523,2.805555344,10.16959581,1.060606471,111.8655539 +4375,MN,526,61,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,176 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0,P,176 BLEECKER STREET R,2140,5040,805,4235,0,805,0,0,0,0,2,1,5,4,5,21.83,98,22,44, ,3,N,5,5,104273,218940,0,0,1900,1987,0,South Village Historic District, ,2.36,3.44,0,6.5,1,1005260061,0,65,984000,204789,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,249.5889349,2228.980524,114667,9,0,4376,4376,10,2250,23.22699928,25.37444496,2.147445679,24.09563293,0.935774239,240.9563293 +4376,MN,768,17,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,235 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,SECONDO,2300,10524,1754,8770,877,877,0,0,0,0,2,1,5,20,22,25,92,25,84, ,3,N,5,2,181350,1557900,0,0,1901,0,0, , ,4.58,6.02,6,6.5,1,1007680017,0,87,984430,209577,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,237.0957597,2417.927778,1376550,7,0,4377,4377,10,2250,21.88888931,21.88888931,0,21.88888931,0,218.8888931 +4377,MN,886,12,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,115 EAST 30 STREET,C4-5A, , , , , , , , , ,N,C2,2,0, ,"KANAI, LLC",1821,4484,0,4484,0,0,0,0,0,0,2,1,4,6,6,18.67,98.75,19,59, ,3,N,5,5,105810,519631,0,0,1920,1987,0, , ,2.46,4,4,4,1,1008860012,0,72,989148,210497,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,244.6605703,1828.294061,413821,10,0,4378,4378,7,1575,33.23199844,33.23199844,0,33.23199844,0,232.6239891 +4378,MN,790,37,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,541 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K4,4,0,P,GOLDEN ARCH REALTY CO,4000,14400,14400,0,0,7400,0,0,0,7000,2,1,4,0,2,40,100,40,98,E,3,N,5,2,805500,2373300,0,0,1900,1977,0, , ,3.6,6.02,6,6.5,1,1007900037,0,81,985123,208116,8d,Y,103 028,10305, ,0, ,1, , ,17V1.1,0,284.4003118,4084.897565,1567800,7,0,4379,4379,18,4050,27.73777771,29.43222237,1.694444656,27.83191352,0.388131905,500.9744434 +4379,MN,517,9,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,149 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,SULLIVAN TENANT CORP,5125,22513,4460,18053,0,4460,0,0,0,0,2,1,6,33,36,51.25,100,51,86, ,3,N,5,2,369000,3116700,2360,2360,1900,1987,0,Sullivan-Thompson Historic District, ,4.39,3.44,0,6.5,1,1005170009,0,49,983828,204188,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,309.4467539,5300.012863,2747700,9,0,4380,4380,23,5175,17.9011116,23.24777794,5.346666336,18.38209708,1.457865236,422.7882328 +4380,MN,458,4,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,331 BOWERY,C6-1,R8B, , , , , , , , ,Y,N2,8,0,C,DHS,5593,23492,23492,0,0,0,0,0,0,23492,2,1,5,100,100,47.67,99.58,50,112,E,3,Y,5,2,553500,1138950,553500,1138950,1900,1989,2004, , ,4.2,3.44,6,6.5,1,1004580004,0,3602,986587,203715,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,327.7203271,5746.794146,585450,1,0,4381,4381,27,6075,39.7840004,43.58933258,3.805332184,40.05203332,0.94900357,1081.4049 +4381,MN,450,24,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,340 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,340 E. 9TH ST. PROPER,2348,7299,0,7299,0,0,0,0,0,0,2,1,5,10,10,25,93.92,25,63, ,2,N,5,2,53736,190330,0,0,1900,2005,0, , ,3.11,4,0,4,1,1004500024,0,38,988175,204639,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,248.8960264,2479.982568,136594,12,0,4382,4382,11,2475,25.4810009,28.45222282,2.971221924,26.6569096,1.314798584,293.2260056 +4382,MN,271,53,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,162 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,MING & KWANG DEVELOPM,2608,10515,0,10515,0,0,0,0,0,0,2,1,5,15,15,26.08,100,26,86, ,3,N,5,2,90000,366300,0,0,1910,0,0, , ,4.03,3.44,0,6.5,1,1002710053,0,6,987220,199126,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.2097213,2688.402892,276300,16,0,4383,4383,13,2925,17.59499931,23.9216671,6.326667786,18.70435832,2.019842806,243.1566582 +4383,MN,542,50,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,101 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,KC3 - 101 MACDOUGAL S,1940,7310,627,6683,0,627,0,0,0,0,2,1,5,12,14,25.17,77.17,25,60, ,3,N,5,2,77400,1543950,0,0,1900,2013,0,South Village Historic District, ,3.77,3.44,0,6.5,1,1005420050,0,65,983969,205125,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,211.024354,1977.270354,1466550,9,0,4384,4384,10,2250,18.38111115,18.38111115,0,18.38111115,0,183.8111115 +4384,MN,471,2,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,2 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,A4,1,0,P,ANTHONY M LIBERATORE,1016,3700,0,3700,0,0,0,0,0,0,2,1,4,1,1,17.17,59.17,17.17,58,E,3,N,5,2,58516,120204,0,0,1800,2005,0, , ,3.64,6.02,6,6.5,1,1004710002,0,41,984890,201538,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,154.4252971,1055.56126,61688,0,0,4385,4385,5,1125,24.86333275,24.86333275,0,24.86333275,0,124.3166637 +4385,MN,7,35,101,9,1016,2,1,10004,L015,1,15,7700,1,1,1B,99 BROAD STREET,C5-5, , , , , ,LM, , , ,N,P7,8,0, ,SONS OF THE REVOLUTIO,2275,8119,8119,0,0,2351,0,0,0,5768,2,1,4,0,3,42.17,55.25,41,63, ,3,Y,3,2,450000,965250,360000,772200,1900,0,0,Fraunces Tavern Block Historic District,FRAUNCES TAVERN,3.57,10,15,15,1,1000070035,0,9,981103,195543,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,206.6387975,2492.579772,515250,17,1,4386,4386,13,2925,6.517333508,6.679999828,0.162666321,6.529846301,0.04334559,84.88800192 +4386,MN,927,38,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,320 EAST 22 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,NEW YORK UNIVERSITY,15112,67048,3200,63848,0,0,3200,0,0,0,2,1,8,94,94,155,97.5,155,97, ,3,N,5,0,1467000,11946600,0,0,1948,1979,0, , ,4.44,4,0,4,1,1009270038,0,64,989722,207604,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,511.4924971,15580.09276,10479600,11,0,4387,4387,68,15300,12.9244442,16.58555603,3.661111832,13.15802431,0.765722089,894.7456532 +4387,MN,604,3,102,69,1002,2,3,10014,E024,6,15,6400,1,2,2B,180 CHRISTOPHER STREET,C1-6A, , , , , , , , , ,N,I7,8,0,P,BAILEY-HOLT HOUSE HDF,3637,18190,18190,0,3638,0,0,0,0,14552,2,1,5,48,49,91,52,25.33,91.33, ,3,Y,3,2,589500,2218500,589500,2218500,1920,1986,2014, , ,5,4,2,4,1,1006040003,0,69,981505,206058,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,0,260.8740542,3588.412076,1629000,9,1,4388,4388,14,3150,7.765555382,8.888889313,1.123333931,8.64714316,0.260388132,121.0600042 +4388,MN,179,68,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,137 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,137 FRANKLIN STREET R,2224,12127,0,12127,0,0,0,0,0,0,2,1,6,3,3,24.44,91.65,24,80, ,1,Y,3,0,666000,1411650,0,0,2011,0,0,Tribeca West Historic District, ,5.45,6.02,6,6.5,1,1001790068,0,33,982261,201195,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,238.9470294,2247.329899,745650,14,1,4389,4389,11,2475,10.17444515,10.73555565,0.561110497,10.22990972,0.160512379,112.529007 +4389,MN,393,18,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,622 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,620-622 EAST 11TH ST.,2370,10818,0,10818,0,0,0,0,0,0,2,1,6,26,26,25,94.75,25,80, ,3,N,5,1,427500,1613700,0,0,1900,1985,0, , ,4.56,4,0,4,1,1003930018,0,28,990176,204096,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.7493038,2384.276532,1186200,12,1,4390,4390,11,2475,7.409999847,7.690999508,0.28099966,7.435545271,0.080781723,81.79099798 +4390,MN,540,10,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,122 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,CHRIS-MAC,2500,9570,1800,7770,0,1800,0,0,0,0,2,1,5,20,21,25,100,25,74, ,3,N,5,2,252900,1521000,0,0,1900,1987,0,South Village Historic District, ,3.83,3.44,0,6.5,1,1005400010,0,65,984167,205180,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,255.9050159,2558.23002,1268100,9,0,4391,4391,10,2250,22.5755558,22.5755558,0,22.5755558,0,225.755558 +4391,MN,939,27,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,345 EAST 33 STREET,R8A, , , , , , , , , ,N,C5,2,1, ,345 REALTY COMPANY LL,2469,10625,0,10625,0,0,0,0,0,0,2,1,5,18,18,25,98.75,25,85, ,2,N,5,2,99450,1073250,0,0,1940,1985,0, , ,4.3,6,0,6,1,1009390027,0,70,991328,210175,8d, ,104 023,10309, ,0, ,1, ,1,17V1.1,0,252.0389508,2563.537282,973800,10,1,4392,4392,12,2700,10.03999996,13.66222191,3.622221947,10.83805545,1.223433826,130.0566654 +4392,MN,608,57,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,129 WEST 12 STREET,R6, , , , , , , , , ,N,C5,2,0, ,ZAGOREOS MARINE,2266,5720,0,5720,0,0,0,0,0,0,2,1,4,9,9,22.5,103.25,23,58,E,3,N,5,1,160648,481150,0,0,1930,1986,0,Greenwich Village Historic District, ,2.52,2.43,0,4.8,1,1006080057,0,71,984596,207667,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,257.4615189,2300.827107,320502,8,0,4393,4393,9,2025,24.04400063,24.76088905,0.716888428,24.1236549,0.225296297,217.1128941 +4393,MN,699,23,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,515 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,K1,5,0, ,STAR REALTY 515 LLC,2469,2465,2465,0,0,2465,0,0,0,0,2,1,1,0,1,25,98.75,25,92, ,3,N,5,0,102150,1150650,0,0,1935,0,2011, , ,1,7.52,6,10,1,1006990023,0,99,983389,212805,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,248.3335771,2491.42327,1048500,2,1,4394,4394,12,2700,12.50699997,12.83533287,0.328332901,12.53436104,0.09074642,150.4123325 +4394,MN,527,87,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,19 DOWNING STREET,R6, , , , , , , , , ,N,A4,1,0, ,19 DOWNING LLC,1108,3166,0,3166,0,0,0,0,0,0,2,1,4,1,1,15.83,70,15.83,50, ,0,N,5,2,176861,284071,0,0,1910,1999,2014,Greenwich Village Historic District Exte, ,2.86,2.43,0,4.8,1,1005270087,0,67,983386,205117,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,174.2538695,1047.386302,107210,9,0,4395,4395,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +4395,MN,864,7502,105,74,1001,2,4,10016,E065,14,15,5200,2,5, ,355 5 AVENUE,C5-2,C5-3, , , , ,MID, , , ,Y,RC,5,0,X,KMO -361 REALTY ASSOC,82950,885162,885162,0,118267,0,0,0,0,766895,2,3,13,0,6,1.9,420,197,420,E,1,N,1,5,17029800,115733787,17029800,115733787,1906,0,0, ,B. ALTMAN & COMPANY DEPARTMENT STOR,10.67,10,10,10,1,1008647502,820,74,988825,211958,8d, ,104 029,10306, ,1008640001,1/28/1993,1, , ,17V1.1,7,1263.039865,87786.6679,98704000,10,0,4396,4396,381,85725,54.82222366,64.39444733,9.572223663,56.20373393,1.183014332,21413.62263 +4396,MN,746,26,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,319 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"BARDEL ASSOCIATES,",2222,6100,0,6100,0,0,0,0,0,0,2,1,5,19,19,21.83,98.75,22,52, ,3,N,5,1,76950,855000,0,0,1910,0,0,Chelsea Historic District Extension, ,2.75,3,0,3,1,1007460026,0,93,984295,210787,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,246.0171546,2252.399033,778050,2,0,4397,4397,9,2025,15.97222233,17.96555519,1.993332863,16.81358009,0.943888249,151.3222208 +4397,MN,901,2,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,247 3 AVENUE,C1-9A, , , , , , , , , ,N,O6,5,0,P,247 THIRD AVENUE ASSO,4725,32800,28401,4399,22651,3625,0,0,0,2125,2,1,7,2,22,63,75,63,70, ,3,N,5,2,985500,3133800,0,0,1920,1987,0, , ,6.94,10,2,10,1,1009010002,0,64,988656,207803,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,276.7693562,4765.313384,2148300,5,0,4398,4398,22,4950,19.86555672,25.43111038,5.565553665,20.11853643,1.15929868,442.6078014 +4398,MN,766,16,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,245 WEST 16 STREET,R8B, , , , , , , , , ,N,S5,4,0,P,THE RENEE ROMERO REVO,1932,3390,800,2590,0,800,0,0,0,0,2,1,3,5,6,18.92,92,19,43, ,3,Y,5,5,59168,330031,0,0,1910,0,0, , ,1.75,4,0,4,1,1007660016,0,81,984135,209179,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,221.8629681,1832.291957,270863,7,0,4399,4399,9,2025,21.88888931,21.88888931,0,21.88888931,0,197.0000038 +4399,MN,413,50,103,18,1003,2,1,10002,E015,7,14,7400,1,3,2B,73 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,73 ORCHARD,2196,8105,1621,6484,0,1621,0,0,0,0,2,1,5,6,8,25,87.83,25,63, ,3,N,4,2,90238,389529,0,0,1900,2004,0, , ,3.69,4,4,4,1,1004130050,0,18,986811,200723,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,234.7891238,2351.180735,299291,13,0,4400,4400,11,2475,38.47555542,40.60444641,2.128890991,38.92686879,0.774933204,428.1955566 +4400,MN,445,32,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,59 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,EIGHT COOPER EQUITIES,1776,6567,1200,5367,0,1200,0,0,0,0,2,1,5,8,10,24,74,24,52, ,3,N,5,2,114523,417703,0,0,1900,1963,0, , ,3.7,4,0,4,1,1004450032,0,38,987729,203467,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,202.5856552,1912.370656,303180,1,0,4401,4401,9,2025,29.97444344,30.9066658,0.932222366,30.0780237,0.292969225,270.7022133 +4401,MN,904,29,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,411 2 AVENUE,C1-8A, , , , , ,TA, , , ,N,C6,2,0, ,415 SECOND OWNERS COR,7190,25259,3100,22159,0,3100,0,0,0,0,2,5,5,36,40,74,97.08,74,97, ,1,N,3,2,392400,2547000,16520,16520,1950,1938,0, , ,3.51,7.52,2,7.5,1,1009040029,0,64,989558,208341,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,349.9672472,7543.418692,2154600,11,0,4402,4402,34,7650,21.18099976,25.97222137,4.791221619,21.82079411,1.254411553,741.9069996 +4402,MN,528,35,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,40 DOWNING STREET,R6, , , , , , , , , ,N,C6,2,0,P,40 DOWNING STREET HDF,4500,36850,0,36850,0,0,0,0,0,0,2,1,5,20,20,8.08,128.67,24,92, ,3,Y,5,0,257850,2823300,257850,2630914,1900,0,0,Greenwich Village Historic District Exte, ,8.19,2.43,0,4.8,1,1005280035,0,67,983142,204879,12a, ,103 003,10206, ,1005280035,12/13/1994,1, , ,17V1.1,0,270.5210185,2786.166451,2565450,9,0,4403,4403,13,2925,15.38333321,15.70666695,0.32333374,15.41760679,0.089533973,200.4288883 +4403,MN,792,7506,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,110 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2300,10783,1575,9208,0,1575,0,0,0,0,2,1,7,6,7,25,92,0,0, ,0,N,0,5,81054,1334663,4720,4720,1920,0,0, , ,4.69,6.02,6,6.5,1,1007927506,1123,81,985267,208661,8d, ,103 029,10305, ,1007920044,4/11/2000,1, , ,17V1.1,7,237.8649501,2365.488446,1253610,7,0,4404,4404,11,2475,27.66555595,27.66555595,0,27.66555595,0,304.3211155 +4404,MN,64,23,101,15.02,1009,2,1,10038,E004,1,15,7700,1,1,1B,14 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,D7,4,0,P,"MAIDENVEST, LLC",1512,14645,1431,13214,0,1431,0,0,0,0,2,1,10,9,10,23.58,66.25,23,66, ,3,Y,5,2,180057,1026324,0,0,1900,1980,0, , ,9.69,10,15,15,1,1000640023,0,1502,981649,197689,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,177.9227131,1534.396973,846267,4,0,4405,4405,6,1350,26.93111038,29.95899963,3.027889252,29.45435143,1.128427699,176.7261086 +4405,MN,397,11,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,155 EAST 2 STREET,R7A,R8B,R8A, ,C2-5, , , , , ,Y,C6,2,0,P,CORDERO ANGIE,3584,12330,1200,11130,0,1200,0,0,0,0,2,1,5,20,22,33.83,105.92,34,73, ,2,N,5,1,135000,707400,135000,452656,1900,1988,0, , ,3.44,4,0,4,1,1003970011,0,3002,988283,202543,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,286.052287,3696.544903,572400,1,0,4406,4406,17,3825,19.55999947,24.45977783,4.899778366,20.94926823,1.83602638,356.1375599 +4406,MN,404,4,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,170 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,VILLAGE JV 500 EAST 1,3020,15162,2400,12762,0,2400,0,0,0,0,2,1,6,25,27,40,75.5,40,76, ,3,N,3,2,405000,2974950,0,0,1920,0,0, , ,5.02,4,0,4,1,1004040004,0,34,989340,204589,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,239.1699363,3264.781755,2569950,12,0,4407,4407,13,2925,12.53199959,15.19066715,2.658667564,12.81305951,0.735465796,166.5697737 +4407,MN,463,38,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,39 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,ROMILLY CONSTANCIA,1875,7050,0,7050,0,0,0,0,0,0,2,1,4,5,5,25,75,25,60, ,3,N,5,5,176445,239791,2360,2360,1900,1987,0,East Village/Lower East Side Historic Di, ,3.76,4,0,4,1,1004630038,0,38,987389,204662,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,206.2442535,1974.163517,63346,12,0,4408,4408,8,1800,34.15777969,34.15777969,0,34.15777969,0,273.2622375 +4408,MN,539,17,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,86 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,86 WEST 3RD STREET LL,1900,5550,1385,4165,0,1385,0,0,0,0,2,1,4,4,5,25,76,25,76,E,3,N,5,5,232955,487875,0,0,1900,1966,0,South Village Historic District, ,2.92,3.44,0,6.5,1,1005390017,0,65,984485,205142,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,209.4477425,2072.681067,254920,9,0,4409,4409,9,2025,25.23555565,27.06111145,1.825555801,25.43839518,0.573716838,228.9455566 +4409,MN,399,44,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,185 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,EAST VILLAGE APARTMEN,7188,35550,0,35550,0,0,0,0,0,0,2,1,6,43,43,74.75,96.17,75,82, ,3,N,5,2,675000,3263400,0,0,1950,1988,0, , ,4.95,4,0,4,1,1003990044,0,32,988777,202761,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,347.1116018,7380.186117,2588400,1,0,4410,4410,33,7425,18.04222298,18.04222298,0,18.04222298,0,595.3933582 +4410,MN,809,4,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,427 7 AVENUE,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,DK CHINA LLC,1180,4373,4373,0,0,3114,0,0,0,1259,2,1,3,0,2,19.5,60.5,19.5,61, ,3,N,0,2,589500,1613250,0,0,1924,0,0, , ,3.71,10,15,15,1,1008090004,0,101,986828,212690,8d, ,15S 024,10305, ,1008090003,8/17/2006,1, , ,17V1.1,0,169.0467558,1289.905586,1023750,6,0,4411,4411,6,1350,39.87999725,41.24700165,1.367004395,41.01916758,0.509452459,246.1150055 +4411,MN,21,6,101,13,2010,2,1,10006,E010,1,15,7700,1,1, ,69 BROADWAY,C5-5, , , , , ,LM, , , ,N,D5,3,0,P,"EQR-71 BROADWAY A, L.",13967,303086,16658,286428,0,16658,0,0,0,0,2,1,23,237,245,78,223.83,78,223.83, ,0,Y,3,2,5805000,35571150,0,0,1900,1955,1997, ,EMPIRE BUILDING,21.7,10,15,15,1,1000210006,0,13,980781,197035,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,592.5410181,15343.0991,29766200,15,0,4412,4412,67,15075,23.76866722,31.56177902,7.793111801,26.8037322,0.822043974,1795.850058 +4412,MN,69,7502,101,15.02,2006,2,1,10038,E004,1,15,7700,1,1, ,90 JOHN STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,90 JOHN STREET CONDO,14851,344914,130550,214364,97912,32638,0,0,0,0,2,1,29,221,222,131.16,123.41,131,100, ,0,Y,0,5,2785500,32022900,0,0,1931,0,0, , ,23.22,10,15,15,1,1000697502,1062,1502,982448,197187,12b, ,101S/012,10102, ,1000690039,9/27/1999,1, , ,17V1.1,7,489.4936318,15065.22304,29237400,4,1,4413,4413,67,15075,12.07499981,20.23444366,8.159443855,12.97831653,2.228824778,869.5472078 +4413,MN,800,7502,104,91,1001,2,3,10001,E001,13,15,5200,2,4, ,110 WEST 25 STREET,M1-6,C6-4X, , , , , , , , ,Y,RM,4,0, , ,3317,30175,6355,23820,0,4577,0,1778,0,0,2,1,12,10,12,40,82.92,40,60, ,0,N,0,5,399602,5116052,4720,4720,1913,0,0, , ,9.1,0,10,10,1,1008007502,1221,91,986319,210424,8d, ,15S 011,10305, ,1008000048,8/26/2002,1, , ,17V1.1,7,255.9452029,3464.992588,4716450,2,0,4414,4414,15,3375,33.67733383,39.73444366,6.057109833,34.49525833,1.731187586,517.428875 +4414,MN,300,22,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,31 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,SIU HING REALTY LLC,2188,8010,2260,5750,0,2260,0,0,0,0,2,1,5,8,10,25,87.5,25,54,E,2,N,5,2,129081,359868,0,0,1910,1961,0, , ,3.66,3.44,6,6.5,1,1003000022,0,16,986327,200099,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,235.3125072,2439.356777,230787,13,0,4415,4415,10,2250,39.09000015,39.09000015,0,39.09000015,0,390.9000015 +4415,MN,542,40,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,17 MINETTA STREET,R7-2, , , ,C1-5, , , , , ,N,A9,1,0,P,"WINTER, NICHOLAS R",1000,1785,0,1785,0,0,0,0,0,0,2,1,3,1,1,17,58.83,17,35, ,2,N,5,2,70620,248980,0,0,1920,2008,0,South Village Historic District, ,1.79,3.44,0,6.5,1,1005420040,0,65,983964,205244,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,154.8356009,1099.667737,178360,9,0,4416,4416,4,900,18.38111115,18.38111115,0,18.38111115,0,73.52444458 +4416,MN,470,59,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,134 BOWERY,C6-1G, , , , , ,LI, , , ,N,K9,5,0, ,138 EMMUT PROPERTIES,2435,5045,5045,0,0,5045,0,0,0,0,2,1,3.5,0,3,24.42,100,24,100, ,3,Y,5,2,315000,831150,0,0,1900,1967,0, , ,2.07,3.44,6,6.5,1,1004700059,0,41,985653,201238,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,258.8801889,2553.347955,516150,0,0,4417,4417,11,2475,31.67711258,31.67711258,0,31.67711258,0,348.4482384 +4417,MN,588,12,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,30 GROVE STREET,R6, , , , , , , , , ,N,B1,1,0, ,30 GROVE STREET LLC,2100,3834,0,2730,0,0,0,0,0,0,2,1,3,2,2,21,100,21,53,E,3,N,5,1,106062,284463,0,0,1915,2014,0,Greenwich Village Historic District, ,1.83,2.43,0,4.8,1,1005880012,0,73,982929,206126,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.0795532,2174.179671,178401,9,0,4418,4418,10,2250,18.94666672,22.72222328,3.775556564,19.70977783,1.168016521,197.0977783 +4418,MN,283,64,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,146 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,146 EAST BROADWAY LLC,1550,6250,1250,5000,0,1250,0,0,0,0,2,1,5,8,10,25,62,25,49, ,3,N,5,2,116240,302526,0,0,1910,0,0, , ,4.03,6.02,6,6.5,1,1002830064,0,6,986709,199463,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,173.0297927,1537.881578,186286,16,0,4419,4419,7,1575,32.80699921,32.80699921,0,32.80699921,0,229.6489944 +4419,MN,127,18,101,21,2005,2,1,10007,L010,1,15,7700,1,1, ,255 GREENWICH STREET,C6-4, , , , , ,LM, , , ,N,O6,5,0,P,RESNICK 75 PARK PLACE,42601,550000,550000,0,518700,12300,19000,0,0,0,2,1,13,0,9,172.37,287.79,165,287, ,1,Y,1,2,7785000,49619250,0,0,1987,2003,0, , ,12.91,10,10,10,1,1001270018,0,21,981236,199541,12b, ,101S014,10104, ,0, ,1, , ,17V1.1,0,872.4135007,44211.66731,41834200,3,1,4420,4420,198,44550,11.1077776,19.64444542,8.536667824,11.92706165,1.542176935,2361.558208 +4420,MN,423,3,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,133 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,CHU & LEE REALTY CORP,2118,4551,4551,0,2851,1700,0,0,0,0,2,1,3,0,3,25.21,86.41,25,84, ,3,Y,5,2,202500,589950,0,0,1880,0,0, , ,2.15,3.44,6,6.5,1,1004230003,0,18,985801,201084,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,225.3382852,2212.787224,387450,0,0,4421,4421,10,2250,34.16999817,34.16999817,0,34.16999817,0,341.6999817 +4421,MN,629,51,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,319 WEST 13 STREET,C1-6, , , , , , , , , ,N,D1,3,0,P,EFF REALTY CORP,3097,8885,0,8885,0,0,0,0,0,0,2,1,5,19,19,30,103.25,30,64, ,3,N,5,2,283050,1196550,0,0,1925,1962,0, , ,2.87,3.44,2,6.5,1,1006290051,0,77,983175,208762,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,270.8054767,3126.798905,913500,8,0,4422,4422,13,2925,16.45777702,17.22977829,0.772001266,16.55117886,0.217664371,215.1653252 +4422,MN,719,70,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,450 WEST 22 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"DOWNES, JOANNE",1975,3200,0,2400,0,0,0,0,0,0,2,1,2,2,2,20,98.75,20,40, ,3,N,5,1,39075,119438,1550,1550,1910,0,0,Chelsea Historic District, ,1.62,3,0,3,1,1007190070,0,89,983259,211183,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,235.6341571,1899.198021,80363,7,1,4423,4423,8,1800,10.39400005,14.67000008,4.276000023,11.95847225,2.021299999,95.66777802 +4423,MN,769,61,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,242 WEST 20 STREET,R8B, , , , , , , , , ,N,S4,4,0, ,245 REALTY L.L.C. C/O,1512,6160,1540,4620,0,1540,0,0,0,0,2,1,4,4,5,22,70.17,22,70,E,3,Y,5,5,111065,256449,0,0,1900,2005,0, , ,4.07,4,0,4,1,1007690061,0,87,984510,209934,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,185.508074,1480.275445,145384,7,0,4424,4424,7,1575,21.88888931,24.84000015,2.95111084,22.31047658,1.032673676,156.173336 +4424,MN,376,31,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,276 EAST 7 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,C4,2,0,P,UHAB HOUSING DEVELOPM,2772,13248,0,13248,0,0,0,0,0,0,2,1,6,19,19,30.5,90.83,31,79, ,3,N,5,2,270000,1030500,270000,1030500,1920,0,0, , ,4.78,4,0,4,1,1003760031,0,2602,990604,202719,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,247.2410808,2847.928486,760500,12,1,4425,4425,13,2925,7.864444256,11.14000034,3.275556087,8.334871659,0.981950307,108.3533316 +4425,MN,903,35,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,395 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,C7,4,0, ,"MILATOS, PANAGIS",3140,14080,1800,12280,0,1800,0,0,0,0,2,1,5,12,15,40,78.5,40,78, ,2,N,3,2,129150,1753650,0,0,1915,1985,0, , ,4.48,10,2,10,1,1009030035,0,64,989431,208092,8d,Y,104 007,10308,E-8,0, ,1, , ,17V1.1,0,246.4892564,3451.930131,1624500,11,0,4426,4426,15,3375,19.86555672,20.86888886,1.003332138,19.93244553,0.250275007,298.9866829 +4426,MN,348,26,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,95 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,"ASIAN AMERICAN HDFC,",2525,9850,1800,8050,0,1800,0,0,0,0,2,1,5,11,12,25.25,100,25,89, ,3,N,5,0,189900,526050,178506,494487,1920,1992,0, , ,3.9,4,0,4,1,1003480026,0,1402,988230,201064,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,261.6746985,2784.50802,336150,13,0,4427,4427,13,2925,24.76333427,24.76333427,0,24.76333427,0,321.9233456 +4427,MN,196,7,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,412 BROADWAY,M1-5, , , , , , , , , ,N,O6,5,0,P,PETBAR REALTY CORP,4695,20475,20475,0,16475,4000,0,0,0,0,2,1,7,0,5,26.83,175,27,175, ,2,N,4,2,351900,2191050,0,0,1920,0,0,Tribeca East Historic District, ,4.36,0,5,6.5,1,1001960007,0,31,983765,201193,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,416.0962024,4830.253947,1839150,0,0,4428,4428,23,5175,11.84555531,13.48555565,1.640000343,11.94610604,0.355670894,274.7604389 +4428,MN,633,51,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,304 WEST 11 STREET,C1-6, , , , , , , , , ,N,S9,4,0,P,11TH ST WEST PARTNERS,2375,3400,700,2700,0,700,0,0,0,0,2,2,4,6,8,25,95,25,39, ,2,N,5,2,75691,271070,0,0,1905,1982,0,Greenwich Village Historic District, ,1.43,3.44,2,6.5,1,1006330051,0,75,982515,207273,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,252.9056844,2707.812615,195379,8,0,4429,4429,11,2475,19.46666718,23.45000076,3.983333588,19.90333366,1.13867908,218.9366703 +4429,MN,429,19,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,113 EAST 2 STREET,R8B, , , , , , , , , ,N,S1,4,0,P,"HELLO NEWMAN, INC.",2648,10000,1676,8324,0,1676,0,0,0,0,2,1,4,1,2,25,105.92,25,80,E,3,N,5,1,133881,192214,0,0,1900,0,0, , ,3.78,4,0,4,1,1004290019,0,3002,987805,202807,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,266.6278344,2707.833773,58333,1,0,4430,4430,11,2475,28.19499969,29.66111183,1.466112137,28.34085846,0.419371673,311.7494431 +4430,MN,898,51,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,210 EAST 18 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,JACKSON ALFRED G,2144,5484,0,4113,0,0,0,0,0,0,2,1,3,1,1,0,0,23.25,59, ,2,N,0,1,159434,317528,0,0,1915,2004,0,Stuyvesant Square Historic District, ,2.56,3,0,3,1,1008980051,0,48,988455,207178,12c, ,102 036,10308, ,1008980050,11/21/2000,1, , ,17V1.1,0,240.0942425,2351.062587,158094,5,0,4431,4431,9,2025,22.7840004,28.38222313,5.598222733,24.3463707,2.240807087,219.1173363 +4431,MN,614,6,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,297 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,WEINER LAWRENCE,1127,2658,0,2658,0,0,0,0,0,0,2,1,3,1,1,17.33,65,17.33,40,E,3,N,5,2,27263,135395,0,0,1899,2006,2006,Greenwich Village Historic District, ,2.36,2.43,0,4.8,1,1006140006,0,77,983281,207687,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,172.4758353,1184.030265,108132,8,0,4432,4432,5,1125,26.80333328,26.80333328,0,26.80333328,0,134.0166664 +4432,MN,775,60,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,236 WEST 26 STREET,C6-2A, , , , , , , , , ,N,L1,6,0,P,"SHTROMBERG, ANNA",8359,86280,46280,40000,38780,7500,0,0,0,0,2,1,12,25,43,84.58,98.75,84.58,88.75,E,0,N,5,2,540000,6302700,0,0,1925,0,0, , ,10.32,6.02,6,6.5,1,1007750060,0,91,985360,211241,8d, ,105S010,10304,E-92,0, ,1, , ,17V1.1,0,364.599498,8223.652329,5762700,2,0,4433,4433,37,8325,26.32299995,27.97888756,1.655887604,26.41625219,0.368763433,977.4013309 +4433,MN,884,16,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,127 EAST 28 STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,ALLIANZ REALTY HOLDIN,1683,6021,2400,3621,1200,1200,0,0,0,0,2,1,5,5,8,21.5,78.75,21,69,E,1,Y,5,2,139153,747419,0,0,1910,0,0, , ,3.58,6.02,6,6.5,1,1008840016,0,72,989032,209964,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,203.3612612,1650.590913,608266,11,0,4434,4434,7,1575,34.08499908,37.51222229,3.427223206,34.86206273,1.199576875,244.0344391 +4434,MN,463,30,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,129 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,SECOND AT ST MARKS PA,2600,12393,2066,10327,0,2066,0,0,0,0,2,1,6,22,24,26,100,26,92, ,3,N,5,2,410400,2857050,0,0,1900,1980,0,East Village/Lower East Side Historic Di, ,4.77,4,0,4,1,1004630030,0,38,987541,204698,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,255.9185131,2625.620937,2446650,12,0,4435,4435,10,2250,34.15777969,34.15777969,0,34.15777969,0,341.5777969 +4435,MN,210,16,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,310 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,EJP REALTY ASSOCIATES,1595,6612,6612,0,0,1600,0,5012,0,0,2,1,4,0,4,20.25,74.5,20,75, ,3,Y,4,0,291600,763200,0,0,1910,0,0,Tribeca East Historic District, ,4.15,6.02,6,6.5,1,1002100016,0,33,983473,201485,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,207.1721024,1707.895633,471600,0,0,4436,4436,8,1800,12.33199978,12.33199978,0,12.33199978,0,98.65599823 +4436,MN,530,4,102,55.02,2001,2,1,10012,L009,9,15,5700,1,2,2A,676 BROADWAY,M1-5B, , , , , , , , , ,N,L9,6,0, ,JORDAN REALTY LLC,3710,21840,21840,0,18135,3705,0,0,0,0,2,1,5,0,5,28.5,130.19,28,130, ,3,N,5,2,477450,3396600,0,0,1880,0,0,NoHo Historic District, ,5.89,0,5,6.5,1,1005300004,0,5502,985719,204274,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,336.4026029,4274.416225,2919150,9,0,4437,4437,19,4275,40.38700104,40.49000168,0.103000641,40.39415882,0.023758102,767.4890175 +4437,MN,896,32,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,230 EAST 15 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,RUTHERFORD TENANTS CO,14506,116191,0,116191,0,0,0,0,0,0,2,2,14,175,175,140.5,103.25,140.5,93,G,3,N,5,2,1197000,12129300,339810,339810,1961,1989,0, , ,8.01,3,0,3,1,1008960032,0,48,988266,206412,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,489.1966819,14622.16966,10932300,5,0,4438,4438,65,14625,26.69333267,31.04500008,4.351667404,27.21131401,1.216349545,1768.735411 +4438,MN,897,41,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,167 3 AVENUE,C1-9A, , , , , , , , , ,N,O5,5,0,P,ORBANK REALTY LTD,2580,15300,15300,0,12800,2500,0,0,0,0,2,1,6,0,5,43,60,43,60, ,2,N,3,2,450000,1508850,0,0,1915,0,0,Stuyvesant Square Historic District, ,5.93,10,2,10,1,1008970041,0,48,988163,206923,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,218.189493,2915.737988,1058850,5,0,4439,4439,13,2925,25.1044445,32.95444489,7.850000381,26.50465804,2.78505732,344.5605545 +4439,MN,614,40,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,243 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0,P,THE BRYSON B LLC,1875,3344,0,2508,0,0,0,0,0,0,2,1,2,3,3,18.75,100,18.75,44,E,3,N,5,1,60327,218971,0,0,1910,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006140040,0,77,983407,207593,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,242.6307339,1996.458136,158644,8,0,4440,4440,9,2025,26.80333328,26.80333328,0,26.80333328,0,241.2299995 +4440,MN,883,1,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,387 PARK AVENUE SOUTH,C6-4A,C4-5A, , , , , , , , ,Y,O6,5,0, ,387 PARK SOUTH L.L.C.,16458,183913,183913,0,158454,9000,0,0,0,16459,2,1,12,0,16,98.75,166.67,98.75,166.67, ,2,N,3,2,6840000,24464700,0,0,1910,1984,0, , ,11.17,10,10,10,1,1008830001,0,68,988689,209870,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,541.227763,17259.46581,17624700,11,0,4441,4441,76,17100,33.29444504,38.75333405,5.458889008,33.49152545,0.97746086,2545.355934 +4441,MN,527,72,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,228 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,228 BLEECKER STREET R,3500,16205,2450,13755,0,2450,0,0,0,0,2,2,6,25,28,70,50,70,50, ,3,N,3,2,531000,3964050,0,0,1900,1974,0,Greenwich Village Historic District Exte, ,4.63,3.44,0,6.5,1,1005270072,0,67,983545,205272,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,253.0085395,3866.684641,3433050,9,0,4442,4442,18,4050,15.38333321,16.25333214,0.869998932,15.46154303,0.228035235,278.3077745 +4442,MN,903,36,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,246 EAST 23 STREET,C1-9A, , , , , ,TA, , , ,N,S3,4,0, ,246 REALTY INC.,2123,4192,900,3292,0,900,0,0,0,0,2,1,4,3,4,21.5,98.75,22,50, ,3,Y,5,5,165728,387201,0,0,1900,2012,0, , ,1.97,10,2,10,1,1009030036,0,64,989372,208091,8d,Y,104 007,10308,E-8,0, ,1, , ,17V1.1,0,249.9795844,2332.880493,221473,11,0,4443,4443,12,2700,19.86555672,21.16777802,1.302221298,20.076612,0.47216134,240.9193439 +4443,MN,543,45,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,142 WEST 4 STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,MERRIMAKER CORP,3542,16686,2600,14086,0,2600,0,0,0,0,2,1,6,24,26,32.5,109,33,97, ,3,N,5,1,370800,2618100,0,0,1900,0,0,South Village Historic District, ,4.71,3.44,0,6.5,1,1005430045,0,65,984103,205682,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,292.8705161,3741.474075,2247300,9,0,4444,4444,17,3825,18.19555664,19.55333328,1.357776642,18.35464141,0.43567575,312.028904 +4444,MN,909,38,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,230 EAST 29 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"RSS GROUP, LLC",3956,16257,1700,14557,0,1700,0,0,0,0,2,1,6,25,27,40,98.75,40,82, ,2,N,5,2,225000,1053000,0,0,1920,1985,0, , ,4.11,4,0,4,1,1009090038,0,66,990061,209521,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,283.3750472,4067.508375,828000,11,0,4445,4445,19,4275,34.61700058,39.26111221,4.644111633,35.78814035,0.997841714,679.9746666 +4445,MN,634,57,102,75,3000,2,3,10014,L005,6,15,6400,1,2,3B,96 BANK STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,"DE MARTINO, DIANNA",1005,2736,0,2052,0,0,0,0,0,0,2,1,2,2,2,18.67,53.83,18.67,38.83,E,3,N,5,1,40664,117422,40664,62091,1899,0,0,Greenwich Village Historic District, ,2.72,3.44,2,6.5,1,1006340057,0,75,982464,207538,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,139.8548228,906.0540449,76758,8,0,4446,4446,3,675,18.61700058,18.61700058,0,18.61700058,0,55.85100174 +4446,MN,445,30,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,128 EAST 4 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,EIGHT COOPER EQUITIES,1250,5730,1000,4730,0,1000,0,0,0,0,2,1,5,8,10,26,48.08,26,43, ,3,N,5,2,85503,295903,0,0,1910,0,0, , ,4.58,4,0,4,1,1004450030,0,38,987691,203503,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,155.8042088,1365.968715,210400,1,0,4447,4447,6,1350,29.97444344,29.97444344,0,29.97444344,0,179.8466606 +4447,MN,595,7501,102,37,1018,2,3,10013,L008,1,15,6800,1,2, ,490 GREENWICH STREET,C6-2A, , , , , , , , , ,N,RB,5,0, ,500 GREENWICH ST COND,10915,55667,55667,0,53611,2056,0,0,0,0,2,1,6,0,18,139.17,80.21,0,0, ,0,Y,5,5,791998,6241049,119144,938867,1930,0,0, , ,5.1,6.02,6,6.5,1,1005957501,555,37,981634,203596,12a, ,101N063,10208, ,1005950077,2/11/1989,1,1,1,17V1.1,7,440.8606174,11398.01655,5449050,0,1,4448,4448,51,11475,7.625555515,10.23777771,2.612222195,8.841978307,0.452768601,450.9408937 +4448,MN,437,34,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,437 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,437 EAST 9TH REALTY L,2306,7240,1448,5792,0,1448,0,0,0,0,2,1,5,15,17,25,92.25,25,55, ,3,N,5,2,267300,918450,0,0,1920,1986,0, , ,3.14,4,0,4,1,1004370034,0,34,988927,204393,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,245.5731668,2511.990646,651150,12,0,4449,4449,12,2700,17.51666641,20.31666756,2.800001144,17.80777772,0.780158622,213.6933327 +4449,MN,885,81,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,114 EAST 30 STREET,C4-5A, , , , , , , , , ,N,A9,1,0, ,"JENNIFER CLAY, TRUST",1975,4800,0,4800,0,0,0,0,0,0,2,1,4,1,1,20,98.75,20,60, ,3,N,5,2,76344,210000,0,0,1901,2006,0, , ,2.43,4,4,4,1,1008850081,0,72,989083,210356,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,241.4398964,1959.047631,133656,10,0,4450,4450,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +4450,MN,181,15,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,185 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0,P,ZERLINA PROPERTIES CO,1405,8430,8430,0,8430,0,0,0,0,0,2,1,6,0,7,20.08,70,20,70, ,3,N,5,2,152100,968400,0,0,1915,1982,0,Tribeca West Historic District, ,6,6.02,6,6.5,1,1001810015,0,39,981547,201305,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,179.221354,1313.415122,816300,14,0,4451,4451,4,900,18.25200081,18.25200081,0,18.25200081,0,73.00800323 +4451,MN,821,49,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,6 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,6 WEST 20TH ST. TENAN,4600,45400,24950,20450,20450,4500,0,0,0,0,2,1,11,9,20,50,92,50,90,E,3,N,5,2,450000,4056750,0,0,1910,1988,0,Ladies' Mile Historic District, ,9.87,10,10,10,1,1008210049,0,54,986487,208826,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,296.1610547,4873.416201,3606750,7,0,4452,4452,21,4725,32.91555405,38.39777756,5.482223511,33.43786112,1.604723018,702.1950836 +4452,MN,420,44,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,148 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C4,2,0,P,"FONG, LEE FUNG",2527,6720,1000,5720,0,1000,0,0,0,0,2,1,5,8,10,25.17,100.42,25,51, ,2,N,5,2,70623,285485,0,0,1910,1965,0, , ,2.66,4,4,4,1,1004200044,0,18,986597,201713,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,259.6764078,2690.642216,214862,13,0,4453,4453,12,2700,42.23899841,45.03666687,2.797668457,43.36868445,1.19212233,520.4242134 +4453,MN,766,17,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,243 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,A5,1,0, ,"BRITTON, PAUL",2000,4800,0,4800,0,0,0,0,0,0,2,1,3,1,1,20,100,20,70,E,3,N,5,2,19548,135375,0,0,1901,2009,0, , ,2.4,4,0,4,1,1007660017,0,81,984155,209172,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,239.4261881,2012.677607,115827,7,0,4454,4454,9,2025,21.88888931,22.45000076,0.56111145,22.01435831,0.209326261,198.1292248 +4454,MN,463,51,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,13 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,EAST 7TH STREET VENTU,1950,7280,1456,5824,0,1456,0,0,0,0,2,1,5,8,10,26,75,26,54, ,3,N,5,2,72016,258954,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.73,4,0,4,1,1004630051,0,38,987096,204824,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,207.6472911,2002.521366,186938,12,0,4455,4455,7,1575,34.15777969,39.8833313,5.725551605,34.97571564,2.003525704,244.8300095 +4455,MN,482,13,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,63 CROSBY STREET,M1-5B, , , , , , , , , ,N,C8,2,0, ,HALEBID CORP,5429,20608,1500,19108,0,1500,0,0,0,0,2,2,4,7,8,47.75,112.43,23.88,124.83, ,0,Y,5,5,481168,849699,2360,2360,1900,2016,0,SoHo-Cast Iron Historic District Extensi, ,3.8,0,5,6.5,1,1004820013,0,45,984800,202399,12c, ,101N073,10206, ,1004820026,2/6/1990,1, , ,17V1.1,0,353.3478006,5604.157341,368531,0,0,4456,4456,25,5625,30.94300079,32.08666611,1.143665314,31.01904961,0.26361141,775.4762402 +4456,MN,162,7,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,12 MOTT STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,JOLANIA PROPERTIE INC,350,1173,1173,0,720,453,0,0,0,0,2,1,3,0,3,12.5,30.33,12,30, ,0,Y,5,5,71550,236700,0,0,1910,0,0, , ,3.35,3.44,6,6.5,1,1001620007,0,29,984638,199446,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,91.7976051,456.5758756,165150,16,0,4457,4457,2,450,30.90500069,30.90500069,0,30.90500069,0,61.81000137 +4457,MN,189,39,101,33,3016,2,1,10013,E007,1,15,7700,1,1,3A,232 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,A4,1,0,P,2NM LLC,2802,10916,0,10916,0,0,0,0,0,0,2,1,6,1,1,64.92,65.67,62,59,E,3,Y,3,5,28268,470540,0,0,1915,2007,2007,Tribeca West Historic District, ,3.9,6.02,6,6.5,1,1001890039,0,33,982498,201439,12a, ,101S035,10105, ,0, ,1, ,1,17V1.1,0,232.4998365,3229.200312,442272,14,1,4458,4458,15,3375,9.793333054,10.23999977,0.446666718,10.0823108,0.086364492,151.2346621 +4458,MN,171,7501,101,31,1009,2,1,10013,L001,5,15,7700,3,1, ,356 BROADWAY,C6-4A, , , , , , , , , ,N,RM,4,0, ,356 BROADWAY COURT,5100,38352,5216,25962,5216,0,0,0,0,0,2,1,5,18,20,30,170,0,0, ,0,N,5,5,348301,3000152,11800,11800,1915,0,0, , ,7.52,10,10,10,1,1001717501,32,31,983309,200491,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,7,419.3163065,5269.375039,2651850,14,0,4459,4459,23,5175,27,31.20666695,4.206666946,27.18289856,0.857870302,625.2066669 +4459,MN,416,38,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,56 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,D5,3,0, ,RIV 56,1693,7087,2539,4548,0,1694,0,845,0,0,2,1,6,7,8,21.17,80,21.17,80, ,0,N,5,2,429364,733564,0,0,1900,2001,0, , ,4.19,4,4,4,1,1004160038,0,3601,986926,201907,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,208.4186654,1760.522668,304200,13,0,4460,4460,9,2025,37.29800034,40.36933136,3.071331024,37.95577791,1.23170779,341.6020012 +4460,MN,634,62,102,75,3000,2,3,10014,L005,6,15,6400,1,2,2K,579 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,579 HUDSON STREET LLC,1935,5558,900,4658,0,900,0,0,0,0,2,1,3,10,11,31.67,73.92,32,60, ,3,Y,5,2,292500,763200,0,0,1910,1961,0,Greenwich Village Historic District, ,2.87,3.44,2,6.5,1,1006340062,0,75,982536,207511,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,214.4893928,2279.78142,470700,8,0,4461,4461,11,2475,18.61700058,18.61700058,0,18.61700058,0,204.7870064 +4461,MN,508,8,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,260 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,260 MOTT REALTY CORP,1767,7141,0,7141,0,0,0,0,0,0,2,1,5,9,9,19.83,89.08,20,75, ,3,N,5,2,37893,203299,0,0,1920,1986,0, , ,4.04,6.02,6,6.5,1,1005080008,0,43,985804,202910,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,223.9810137,1788.776616,165406,9,0,4462,4462,8,1800,44.84577942,44.87400055,0.02822113,44.87047291,0.009333262,358.9637833 +4462,MN,828,19,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,23 WEST 26 STREET,M1-6, , , , , , , , , ,N,O2,5,0,P,23 WEST 26TH STREETRE,2469,5877,5877,0,5877,0,0,0,0,0,2,1,3,0,1,25,98.75,25,92, ,3,N,5,2,270000,650250,0,0,1930,1988,0,Madison Square North Historic District, ,2.38,0,10,10,1,1008280019,0,58,987092,210459,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,251.4929015,2476.749386,380250,2,0,4463,4463,11,2475,42.13444519,42.13444519,0,42.13444519,0,463.4788971 +4463,MN,831,51,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,20 WEST 30 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,GREAT EMPIRE REALTY L,2666,10521,10521,0,2105,2100,0,6316,0,0,2,1,5,0,6,27,98.75,27,94,E,3,N,5,2,290250,1340550,0,0,1915,0,0, , ,3.95,0,10,10,1,1008310051,0,76,987665,211143,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,253.0278862,2738.80692,1050300,10,0,4464,4464,12,2700,41.02666855,43.85666656,2.829998016,41.48592758,1.02738403,497.831131 +4464,MN,180,5,101,39,4005,2,1,10013,E007,1,15,7700,1,1,3A,75 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,C2,2,0, ,AULISA DOMENICO,2265,11300,0,11300,0,0,0,0,0,0,2,1,5,5,5,25,91.33,25,91, ,3,Y,4,5,471315,694032,0,0,1910,0,0,Tribeca West Historic District, ,4.99,6.02,6,6.5,1,1001800005,0,39,981703,201005,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,242.0977276,2455.812035,222717,14,0,4465,4465,12,2700,16.15699959,16.15699959,0,16.15699959,0,193.8839951 +4465,MN,571,30,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,17 EAST 13 STREET,C6-1, , , , , , , , , ,N,K2,5,0,P,"1314 DEVELOPMENT, LLC",1450,720,720,0,0,720,0,0,0,0,2,1,2,0,1,25,58,12,30, ,2,N,5,0,77850,419400,0,0,1910,1985,0, , ,0.5,3.44,6,6.5,1,1005710030,0,61,986197,207067,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,217.8125282,1848.388744,341550,8,0,4466,4466,7,1575,36.25,38.33555603,2.08555603,36.65603202,0.733685079,256.5922241 +4466,MN,410,68,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,106 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,104 DELANCEY STREET S,1875,3750,3750,0,1875,1875,0,0,0,0,2,1,2,0,2,25,75,25,75, ,0,N,5,5,360000,1226700,0,0,1990,2005,0, , ,2,6.02,6,6.5,1,1004100068,0,18,987429,201219,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,208.60764,1996.831961,866700,13,0,4467,4467,8,1800,31.33099937,31.33099937,0,31.33099937,0,250.647995 +4467,MN,622,63,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,73 PERRY STREET,R6, , , , , , , , , ,N,C2,2,0, ,"WOLSK, VIVIEN",1830,4425,0,4425,0,0,0,0,0,0,2,1,3,6,6,19.5,95,20,47, ,3,Y,5,5,113236,338839,0,0,1905,0,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006220063,0,73,983074,207278,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,236.2093835,1974.869857,225603,8,0,4468,4468,9,2025,24.5988884,25.23666763,0.637779236,24.68037012,0.198924864,222.1233311 +4468,MN,897,75,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,179 3 AVENUE,C1-9A, , , , , , , , , ,N,D8,3,0, ,200 EAST 17TH ST ASSO,6900,45000,3700,41300,0,2700,1000,0,0,0,2,1,7,56,58,69,100,66,100,G,3,N,3,2,580500,4245300,0,0,1959,0,0, , ,6.52,10,2,10,1,1008970075,0,48,988244,207029,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,351.5289188,7525.558518,3664800,5,0,4469,4469,33,7425,25.1044445,31.95333481,6.848890305,26.36705393,2.341225698,870.1127796 +4469,MN,901,1,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,245 3 AVENUE,C1-9A, , , , , , , , , ,N,D6,4,0, ,ZADA REALTY LLC,1563,7748,1458,6290,0,1458,0,0,0,0,2,1,7,18,19,20.83,75,21,70, ,2,N,3,2,157500,2095650,0,0,1960,1963,0, , ,4.96,10,2,10,1,1009010001,0,64,988635,207764,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,193.3805116,1683.639958,1938150,5,0,4470,4470,6,1350,19.86555672,19.86555672,0,19.86555672,0,119.1933403 +4470,MN,631,34,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,705 GREENWICH STREET,R6, , , , , , , , , ,N,S9,4,0, ,705 GREENWICH PROPER,2250,4400,2150,2250,0,2150,0,0,0,0,2,1,3,2,4,25,89.5,25,45,E,2,Y,5,5,94207,194940,0,0,1899,0,0,Greenwich Village Historic District, ,1.96,2.43,0,4.8,1,1006310034,0,75,982323,206693,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,237.7626632,2271.052469,100733,9,0,4471,4471,10,2250,20.16444397,20.16444397,0,20.16444397,0,201.6444397 +4471,MN,402,56,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,519 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,519 EAST 6 STREET LLC,2272,7295,0,7295,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,56, ,3,N,5,2,19805,88124,0,0,1920,0,0, , ,3.21,3,0,3,1,1004020056,0,32,989019,203492,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,238.1452161,2406.409978,68319,1,0,4472,4472,10,2250,12.85000038,16.14999962,3.299999237,13.92044468,1.331194484,139.2044468 +4472,MN,606,83,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,5 PATCHIN PLACE,R6, , , , , , , , , ,N,S3,4,0, ,"PATCHIN PLACE, LLC",1140,2415,805,1610,0,805,0,0,0,0,2,1,3,3,4,20.17,60,20,39, ,3,Y,6,5,98074,224152,0,0,1910,0,0,Greenwich Village Historic District, ,2.12,2.43,0,4.8,1,1006060083,0,71,984472,207103,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,161.3980936,1164.17439,126078,8,0,4473,4473,5,1125,20.06222153,21.63666725,1.574445724,20.37711067,0.62977829,101.8855534 +4473,MN,353,27,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,121 NORFOLK STREET,R7A, , , , , , , , , ,N,C3,2,0, ,JACKSON HOWARD,1000,2935,0,2935,0,0,0,0,0,0,2,1,4,4,4,20,50,20,50,E,3,N,5,5,78485,115671,0,0,1920,1987,0, , ,2.94,4,0,4,1,1003530027,0,18,987841,201373,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,144.3747994,1040.108433,37186,13,0,4474,4474,5,1125,29.00666618,29.00666618,0,29.00666618,0,145.0333309 +4474,MN,230,37,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,19 MERCER STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,"ALAN FEIERSTEIN,",2467,10522,6172,4350,4086,0,0,0,0,2086,2,1,5,3,6,24.67,100,25,93,E,3,N,5,2,139950,1189800,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.27,0,5,6.5,1,1002300037,0,47,983644,201869,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,259.390954,2660.273881,1049850,0,1,4475,4475,12,2700,11.39777756,11.39777756,0,11.39777756,0,136.7733307 +4475,MN,515,1,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,451 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D4,3,0, ,451 WEST BROADWAY CO-,5195,26200,1000,25200,0,1000,0,0,0,0,2,1,6,10,13,48.75,113.5,26,100, ,0,N,5,2,267300,3287700,100687,100687,1880,1988,0,SoHo-Cast Iron Historic District, ,5.04,0,5,6.5,1,1005150001,0,49,984142,203747,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,343.61823,5549.949353,3020400,9,0,4476,4476,26,5850,20.20444489,22.06666565,1.862220764,20.27606876,0.358119378,527.1777878 +4476,MN,903,46,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,226 EAST 23 STREET,C2-8A, , , , , , , , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,6584,25000,25000,0,25000,0,0,0,0,0,2,1,3,0,0,66.67,98.75,66.67,98.75, ,0,Y,5,2,634500,1889100,634500,1889100,1926,0,1983, , ,3.8,10,2,10,1,1009030046,0,64,989223,208173,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,339.0623965,6896.689238,1254600,11,0,4477,4477,31,6975,19.86555672,22.66777802,2.802221298,20.03917669,0.661727289,621.2144775 +4477,MN,874,57,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,128 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,GEORGE C WOLFE,2458,6060,0,6060,0,0,0,0,0,0,2,1,3,1,1,23.5,104.58,23.5,50, ,3,N,5,2,131447,329289,0,0,1910,0,0,Gramercy Park Historic District, ,2.47,4,0,4,1,1008740057,0,50,988100,207647,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,270.5374525,2540.690231,197842,5,0,4478,4478,12,2700,27.68333435,30.22444534,2.541110992,28.32544533,0.999062814,339.905344 +4478,MN,345,17,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,331 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,D1,3,0,P,EAST HOUSTON DEVELOPM,8000,57128,3526,53602,0,0,0,0,0,3526,2,1,13,78,78,75,100,74.7,55.25, ,3,Y,5,2,568800,7570350,0,7001388,2014,2014,0, , ,7.14,6,0,6,1,1003450017,0,2201,989075,201872,12c, ,102 005,10201,E-216,1003450017,4/17/2013,1, , ,17V1.1,0,411.7307355,8297.117994,7001550,1,0,4479,4479,38,8550,17.65222168,19.36444473,1.712223053,18.67806997,0.352867649,709.7666588 +4479,MN,196,3,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,404 BROADWAY,M1-5, , , , , , , , , ,N,K4,4,0, ,"KEDZKIDZ REALTY, LLC",5250,12834,12834,0,0,2520,0,3900,0,4164,2,1,3,0,4,52.5,100,28,90,E,0,N,5,2,490500,2070450,0,0,1915,1980,0,Tribeca East Historic District, ,2.44,0,5,6.5,1,1001960003,0,31,983683,201134,12a, ,101N047,10105, ,1001960004,10/16/2012,1, , ,17V1.1,0,319.5242404,5604.285105,1579950,14,0,4480,4480,26,5850,11.84555531,16.57777786,4.732222557,12.03203825,0.9094227,312.8329945 +4480,MN,493,11,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,232 MOTT STREET,C6-2, , , , , ,LI, , , ,N,S5,4,0, ,LYCO INVESTMENTS CORP,2175,7598,1786,5812,0,1786,0,0,0,0,2,1,7,5,6,25,50,25,43, ,3,Y,5,5,487609,1479285,0,285493,2006,0,0, , ,3.49,6.02,6,6.5,1,1004930011,0,43,985649,202499,12c, ,11N 076,10206, ,1004930011,9/20/2010,1, , ,17V1.1,0,150.069423,1251.274494,991676,0,0,4481,4481,6,1350,42.74333191,43.53066635,0.787334442,42.87455432,0.293422222,257.2473259 +4481,MN,903,58,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,297 3 AVENUE,C2-8A, , , , , , , , , ,N,K4,4,0, ,"299 THIRD SI, LLC",2175,5990,5990,0,0,1996,0,3994,0,0,2,1,3,0,4,21.75,100,21.75,100,E,3,N,5,2,315000,924750,0,0,1915,1989,0, , ,2.75,10,2,10,1,1009030058,0,64,988965,208330,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,248.9365593,2214.434452,609750,11,0,4482,4482,10,2250,19.86555672,24.70888901,4.843332291,20.34988995,1.452999687,203.4988995 +4482,MN,805,75,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,122 WEST 30 STREET,M1-6, , , , , , , , , ,N,O5,5,0,P,AFGHAN HOUSE INC,15033,43903,43903,0,29903,14000,0,0,0,0,2,1,4,0,32,115,140,102,137, ,3,Y,5,2,1300500,2871000,0,0,1920,0,0, , ,2.92,0,10,10,1,1008050075,0,95,986783,211614,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,506.5833584,15197.91431,1570500,6,0,4483,4483,67,15075,34.63499832,39.63111115,4.996112823,35.0363667,1.290542699,2347.436569 +4483,MN,901,47,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,222 EAST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,APARTMENT MANAGEMENTI,2330,9475,0,9475,0,0,0,0,0,0,2,1,5,20,20,25.33,92,25,67, ,3,N,5,2,131400,1409850,0,0,1920,1988,0, , ,4.07,4,0,4,1,1009010047,0,64,988908,207763,12c, ,102 047,10308, ,0, ,1, , 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,17V1.1,0,205.7212935,1475.219451,522125,1,0,4486,4486,6,1350,39.7840004,39.7840004,0,39.7840004,0,238.7040024 +4486,MN,507,17,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,260 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,260 ELIZABETH STREET,2112,7804,625,7179,0,625,0,0,0,0,2,1,5,8,10,24.33,87.83,24,68, ,3,N,5,2,114147,626804,0,0,1925,1986,0, , ,3.7,6.02,6,6.5,1,1005070017,0,43,986067,202991,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,222.8982748,2077.431163,512657,9,0,4487,4487,10,2250,44.71333313,48.00111008,3.287776947,45.04211082,0.986333084,450.4211082 +4487,MN,540,43,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,185 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,"ISEMAN, JOSEPH S",3784,18935,3450,15485,0,3450,0,0,0,0,2,1,6,25,28,50.42,75,50,75, ,2,N,3,2,508500,2473200,0,0,1904,0,0,South Village Historic District, ,5,3.44,0,6.5,1,1005400043,0,65,983996,204960,12c,Y,103 007,10207, ,0, ,1, , 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,17V1.1,0,268.8109541,3420.514636,246150,6,0,4492,4492,15,3375,34.23199844,36.36800003,2.136001587,34.55682856,0.592703912,518.3524284 +4492,MN,611,1,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,233 WEST 4 STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,233 WEST 4TH STREET,1627,7766,1627,6139,0,1627,0,0,0,0,2,3,5,13,18,20.08,80.67,20.83,38.83,E,0,N,3,5,129150,2157300,0,557722,1900,0,0,Greenwich Village Historic District, ,4.77,3.44,2,6.5,1,1006110001,0,73,983479,206830,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,206.6341403,1750.238602,2028150,8,0,4493,4493,8,1800,23.83777809,23.83777809,0,23.83777809,0,190.7022247 +4493,MN,939,36,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,591 1 AVENUE,C1-9A, , , , , , , , , ,N,S5,4,0, ,FIRST 34 REALTY LLC,2115,4944,969,3975,0,969,0,0,0,0,2,1,4,6,7,21.08,100,21,100,E,3,N,5,2,130015,444078,0,0,1910,1985,0, , ,2.34,10,2,10,1,1009390036,0,70,991462,210236,8d, ,104 023,10309, ,0, ,1,1,1,17V1.1,0,245.0695872,2261.705151,314063,10,1,4494,4494,10,2250,10.03999996,10.03999996,0,10.03999996,0,100.3999996 +4494,MN,475,12,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,499 BROOME STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,FILBI LLC,1349,4101,3019,1082,969,2050,0,0,0,0,2,1,3.5,2,4,20.83,64.75,21,65, ,2,N,3,2,303750,1603350,0,0,1900,1988,0,SoHo-Cast Iron Historic District, ,3.04,0,5,6.5,1,1004750012,0,47,983428,202722,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,181.3231066,1546.385336,1299600,0,1,4495,4495,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +4495,MN,519,51,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,11 CHARLTON STREET,R7-2,R6, , ,C1-5, , , , , ,Y,D4,3,0,P,CHARLTON OWNERS CORP,4912,14700,0,14700,0,0,0,0,0,0,2,1,5,20,20,49,100.25,49,62, ,2,N,5,2,225450,1964250,21240,21240,1910,1984,0,Charlton-King-Vandam Historic District, ,2.99,3.44,0,6.5,1,1005190051,0,37,983204,204220,12a, ,101N068,10206, ,0, ,1, , 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,17V1.1,0,142.3446352,735.8036482,110454,8,0,4498,4498,3,675,23.70299912,23.70299912,0,23.70299912,0,71.10899735 +4498,MN,593,13,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,403 AVENUE OF THE AMER,C4-5,R6, , , , ,LC, , , ,Y,K1,5,1,P,405 SIXTH LLC,12987,18564,18564,0,0,18564,0,0,0,0,2,1,1,0,8,85,90,80,90,E,3,Y,3,2,1831050,5811750,0,0,1960,0,0,Greenwich Village Historic District, ,1.43,3.44,3.4,6.5,1,1005930013,0,71,984277,206598,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,513.1392855,14185.82931,3980700,8,0,4499,4499,64,14400,17.50333405,19.47555542,1.972221375,17.65483564,0.401957996,1129.909481 +4499,MN,479,1,102,41,1002,2,1,10012,L006,5,15,6800,1,2,1F,180 MOTT STREET,C6-1, , , , , ,LI, , , ,N,I5,8,0,C,NYC ACS,3857,22302,22302,0,0,0,0,0,0,22302,2,1,6,0,2,41.42,93.58,42,83,E,3,Y,5,2,490500,1795500,490500,1795500,1976,1980,0, , ,5.78,3.44,6,6.5,1,1004790001,0,41,985462,201791,12c, ,101N074,10206, ,0, ,1, , 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,17V1.1,0,104.1323436,668.7484619,151767,9,0,4502,4502,3,675,18.94666672,18.94666672,0,18.94666672,0,56.84000015 +4502,MN,586,75,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,13 LEROY STREET,R6, , , , , , , , , ,N,A4,1,0, ,"13 LEROY, LLC",2250,4451,0,4451,0,0,0,0,0,0,2,1,3.5,1,1,25,90,25,90,E,3,N,5,2,39691,245654,0,0,1880,2001,2001,Greenwich Village Historic District Exte, ,1.98,2.43,0,4.8,1,1005860075,0,67,983268,205557,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,228.4446322,2217.948963,205963,9,0,4503,4503,9,2025,15.38333321,17.38400078,2.000667572,17.16170438,0.628749159,154.4553394 +4503,MN,237,27,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,127 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,127 MOTT LLC,2500,8725,2000,6725,0,2000,0,0,0,0,2,2,5,18,19,25,100,25,44, ,0,N,5,2,112500,780300,0,0,1880,0,0, , ,3.49,6.02,6,6.5,1,1002370027,0,41,985042,200970,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,260.5986108,2710.37365,667800,0,0,4504,4504,12,2700,31.40799904,34.74333191,3.33533287,32.39577723,1.125859869,388.7493267 +4504,MN,345,34,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2R,190 STANTON STREET,R7A, , , , , , , , , ,N,N9,8,0,P,COMMUNITY RECOVERY HO,2500,8710,8710,0,0,0,0,0,0,8710,2,1,5,0,12,25,100,25,60,E,2,N,5,2,141300,912600,141300,912600,1920,1995,0, , ,3.48,4,0,4,1,1003450034,0,2201,988891,201618,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,267.8586848,2874.833121,771300,1,0,4505,4505,12,2700,18.41222191,22.6922226,4.280000687,19.37587945,1.680376197,232.5105534 +4505,MN,622,39,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,276 WEST 11 STREET,R6, , , , , , , , , ,N,C2,2,0, ,276 WEST 11TH STREET,2351,5217,0,5217,0,0,0,0,0,0,2,1,3.5,5,5,24.75,95,25,48, ,3,N,5,5,72455,430829,0,0,1905,1989,2009,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1006220039,0,73,983007,207364,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,247.1015153,2547.581759,358374,8,0,4506,4506,10,2250,24.5988884,25.04333305,0.444444656,24.70155525,0.172216131,247.0155525 +4506,MN,508,47,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,19 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,S3,4,0, ,PRINCE 19 ASSOCIATES,1642,4045,850,3195,0,850,0,0,0,0,2,1,4,3,4,21,78.17,21,42, ,0,N,5,5,35697,129918,0,0,1800,0,0, , ,2.46,6.02,6,6.5,1,1005080047,0,43,985840,202668,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,203.16306,1780.533376,94221,0,0,4507,4507,7,1575,43.06000137,46.59999847,3.539997101,44.13222286,1.40744838,308.92556 +4507,MN,518,30,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,156 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,156 SULLIVAN STREET R,3440,15883,2115,13768,0,2115,0,0,0,0,2,1,6,22,25,40.33,85,40,86, ,3,N,5,2,243450,2525850,0,0,1910,1986,0,Sullivan-Thompson Historic District, ,4.62,3.44,0,6.5,1,1005180030,0,49,983753,204328,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,254.4118202,3543.359457,2282400,9,0,4508,4508,15,3375,20.52111053,24.77222252,4.251111984,21.32259216,1.465442064,319.8388824 +4508,MN,412,72,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,161 ESSEX STREET,C4-4A, , , , , , , , , ,N,S1,4,0, ,ARBORITE ART CORP,1793,3088,0,3088,0,0,0,0,0,0,2,1,2,1,2,20,89.67,20,89.05, ,3,N,5,0,29802,49389,0,0,1935,0,0, , ,1.72,4,4,4,1,1004120072,0,3001,987832,202088,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,225.4041199,1882.946862,19587,1,0,4509,4509,9,2025,30.69199944,31.17666626,0.484666824,30.74755499,0.151789057,276.7279949 +4509,MN,464,20,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,220 EAST 9 STREET,R8B, , , , , , , , , ,N,G1,10,0, ,PENBER 9TH STREET GAR,7875,22460,22460,0,0,0,22460,0,0,0,2,2,4,0,2,105,75,105,74, ,2,N,5,2,495000,2990700,0,0,1926,0,0, , ,2.85,4,0,4,1,1004640020,0,38,987469,205042,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,370.4632944,8407.002191,2495700,12,0,4510,4510,38,8550,34.61000061,35.34999847,0.739997864,34.99502443,0.098232794,1329.810928 +4510,MN,573,58,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,27 WEST 9 STREET,R6, , , , , , , , , ,N,C2,2,0, ,CREM MANAGEMENT CO. I,1569,3776,0,3776,0,0,0,0,0,0,2,1,4,5,5,17,92.25,17,54, ,3,N,5,5,319273,535789,0,0,1900,1960,0,Greenwich Village Historic District, ,2.41,2.43,0,4.8,1,1005730058,0,63,985034,206551,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,223.4532249,1666.840312,216516,8,0,4511,4511,9,2025,18.98099899,19.53000069,0.549001694,19.04199918,0.172534587,171.3779926 +4511,MN,883,48,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,384 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,S3,4,0,P,CITY LIGHTS PROPERTIE,2962,13320,5400,7920,0,5400,0,0,0,0,2,1,4,3,4,24.67,120,24.67,110, ,0,N,5,5,430485,1298077,0,0,1910,0,0, , ,4.5,10,2,10,1,1008830048,0,68,989403,209547,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,295.0498006,3063.602982,867592,11,0,4512,4512,13,2925,33.40789032,33.40789032,0,33.40789032,0,434.3025742 +4512,MN,502,44,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,177 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,177 SPRING ST CORP,1509,7545,600,6945,0,600,0,0,0,0,2,1,5,8,10,23.58,64,23,62, ,2,N,3,2,110032,338839,0,0,1900,0,0,Sullivan-Thompson Historic District, ,5,3.44,0,6.5,1,1005020044,0,49,983587,203404,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,190.2106382,1783.015351,228807,0,0,4513,4513,8,1800,12.81888866,14.97222233,2.153333664,13.08805537,0.712148171,104.704443 +4513,MN,496,12,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,101 CROSBY STREET,M1-5B, , , , , , , , , ,N,D2,3,0, ,TRAPEZOID LAND LLC,2508,17400,3000,14400,0,3000,0,0,0,0,2,1,7,10,10,39.83,62,40,55, ,2,N,5,2,134320,814647,0,0,1900,1981,0,SoHo-Cast Iron Historic District Extensi, ,6.94,0,5,6.5,1,1004960012,0,43,985091,202895,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,215.6247688,2722.989464,680327,0,0,4514,4514,12,2700,36.96188736,37.98955536,1.027667999,37.71845214,0.236194572,452.6214256 +4514,MN,902,22,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,233 EAST 21 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,26/32 J LLC,4543,17910,700,17210,0,700,0,0,0,0,2,1,6,24,26,46,98.75,46,83, ,3,N,5,2,202500,2483100,0,0,1910,1986,0, , ,3.94,4,0,4,1,1009020022,0,64,989129,207816,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,300.0600046,4851.758017,2280600,5,0,4515,4515,22,4950,19.86555672,20.50111008,0.63555336,19.89793032,0.132587643,437.754467 +4515,MN,471,31,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,168 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C6,2,0,P,166-168-170 MULBERRY,5027,12280,781,11499,0,781,0,0,0,0,2,1,5,18,20,49.5,100.17,51,50, ,3,N,5,2,146250,1488600,146250,1303972,1900,2013,2013, , ,2.44,6.02,6,6.5,1,1004710031,0,41,985125,201517,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,305.3101918,5123.353629,1342350,0,0,4516,4516,23,5175,27.46699905,30.45666695,2.989667892,29.10776279,0.787628561,669.4785442 +4516,MN,554,35,103,42,2002,1,2,10003,E033,9,14,6200,1,3,4B,51 ASTOR PLACE,C6-1, , , , , , , , , ,N,O6,5,0,P,COOPER UNION FOR THE,36003,385831,385831,0,287672,26844,0,0,0,71315,2,1,14,0,18,171.18,197.75,166,201, ,1,Y,1,2,6480000,63969750,6480000,63969750,2012,1987,0, , ,10.72,3.44,6,6.5,1,1005540035,0,42,986975,205260,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,773.5736492,36923.22034,57489800,12,0,4517,4517,163,36675,39.0929985,45.09999847,6.006999969,39.88165742,1.449039338,6500.710159 +4517,MN,16,7509,101,317.04,4001,2,1,10280,E010,1,15,8900,1,1, ,21 SOUTH END AVENUE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,REGATTA CONDOMINIUM,45203,194762,32279,162483,0,28464,0,3815,0,0,2,1,9,182,184,218,189.96,0,0, ,0,Y,5,5,6346806,33805353,6346806,33805353,1988,0,0, , ,4.31,0,0,0,1,1000167509,621,31704,979227,197334,12b, ,101S090,10101, ,1000160045,7/22/1989,1,1,1,17V1.1,7,917.8133848,48924.6536,27458500,15,1,4518,4518,217,48825,9.812999725,13.70111084,3.888111115,10.1449035,0.865091345,2201.44406 +4518,MN,589,37,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,313 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,S5,4,0, ,313 SIXTH AVENUE LLC,3225,5544,825,4719,0,825,0,0,0,0,2,1,4.5,6,7,17.83,90.33,18,103,E,3,Y,5,2,275869,833667,0,0,1920,1988,0,Greenwich Village Historic District Exte, ,1.72,3.44,0,6.5,1,1005890037,0,67,983667,205612,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,354.0497219,3106.819301,557798,9,0,4519,4519,14,3150,15.87222195,21.64222145,5.769999504,17.80955546,2.570305716,249.3337765 +4519,MN,199,17,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,91 MULBERRY STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,91 MULBERRY RLTY CORP,2542,8234,2500,5734,0,2500,0,0,0,0,2,1,5,10,11,25.25,100.67,25,100, ,3,Y,5,2,63000,328500,0,0,1920,0,0, , ,3.24,3.44,6,6.5,1,1001990017,0,29,984515,200442,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,254.9419478,2531.424117,265500,14,0,4520,4520,10,2250,22.37599945,23.38088799,1.004888535,22.4764883,0.30146656,224.764883 +4520,MN,445,64,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,45 EAST 3 STREET,R7A, , , ,C2-5, , , , , ,N,B9,1,0, ,VIRGINIA BEALL OWEN K,962,2382,0,2382,0,0,0,0,0,0,2,1,3,2,2,20,48.08,20,48.08,E,3,N,5,3,16321,35224,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.48,4,0,4,1,1004450064,0,38,987187,203614,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,147.2857103,1118.149314,18903,1,0,4521,4521,4,900,29.97444344,33.04644394,3.072000504,30.74244356,1.330215238,122.9697742 +4521,MN,407,28,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,540 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,"EYC ASSOCIATES, LLC",2581,7741,1791,5950,0,1791,0,0,0,0,2,1,5,8,9,25,103.25,25,94,E,3,N,5,2,88509,353756,0,0,1920,2013,0, , ,3,4,2,4,1,1004070028,0,34,990168,205008,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.0576099,2634.463426,265247,12,1,4522,4522,12,2700,11.62699986,13.50555515,1.878555298,11.8466665,0.541883352,142.1599979 +4522,MN,468,18,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,218 EAST 13 STREET,R8B, , , , , , , , , ,N,C0,2,0,P,GARY GRANT,1600,3300,0,3300,0,0,0,0,0,0,2,1,4,3,3,15.5,103.25,15.5,55, ,2,N,5,2,40831,103680,0,0,1901,0,0, , ,2.06,4,0,4,1,1004680018,0,40,987844,205992,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,245.7331928,1739.528551,62849,12,0,4523,4523,8,1800,28.72333336,32.32666779,3.603334427,29.3374722,1.163519871,234.6997776 +4523,MN,692,19,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,525 WEST 20 STREET,M1-5, , , , , ,WCH, , , ,N,E1,6,0,P,KALIMIAN WEST 20TH,9200,94622,94622,0,0,0,0,94622,0,0,2,1,9,0,1,100,92,100,92, ,3,N,5,2,1129500,4620150,0,0,1913,1988,0, , ,10.29,0,5,6.5,1,1006920019,0,99,982426,211245,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,386.1212395,9312.572615,3490650,7,1,4524,4524,42,9450,7.123000145,7.499999523,0.376999378,7.472073646,0.088937925,313.8270931 +4524,MN,818,66,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,26 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,"MALLIN, EDWARD J. LWT",8602,106770,106770,0,101226,5544,0,0,0,0,2,1,12,0,29,93.5,92,94,88,E,3,N,5,2,2700000,12872700,0,0,1907,1981,0,Ladies' Mile Historic District, ,12.41,10,10,10,1,1008180066,0,54,985931,208297,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,386.1747433,9311.305008,10172700,7,0,4525,4525,40,9000,31.11599922,35.74666595,4.630666733,31.31416597,0.876582996,1252.566639 +4525,MN,769,52,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,224 WEST 20 STREET,R8B, , , , , , , , , ,N,S1,4,0,P,ANNA E BERGMAN,2300,4298,1724,2574,0,1724,0,0,0,0,2,1,4,1,2,25,87.25,22,46, ,2,Y,5,2,48760,103789,0,0,1901,0,0, , ,1.87,4,0,4,1,1007690052,0,87,984700,209818,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,236.021246,2402.827435,55029,7,0,4526,4526,10,2250,21.88888931,25.63222122,3.743331909,22.2632225,1.122999573,222.632225 +4526,MN,569,22,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,92 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,S9,4,0, ,ANCHOR HOLDING L.L.C.,2212,6688,3340,3348,0,3340,0,0,0,0,2,1,3,2,4,38.33,60,38.33,52, ,3,Y,5,5,221479,884316,0,0,1940,2008,0, , ,3.02,6.02,2,6.5,1,1005690022,0,61,986143,206622,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,203.4059269,2486.448815,662837,8,0,4527,4527,10,2250,34.37900162,34.37900162,0,34.37900162,0,343.7900162 +4527,MN,495,40,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,217 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,QUON HOLDINGS INC.,1655,7284,970,6314,0,970,0,0,0,0,2,1,6,10,11,22.25,74.42,22,51, ,2,Y,5,2,43650,903600,0,0,1900,1988,0, , ,4.4,6.02,6,6.5,1,1004950040,0,43,985253,202406,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,201.1463371,1848.459457,859950,0,0,4528,4528,9,2025,37.57110977,37.57110977,0,37.57110977,0,338.1399879 +4528,MN,576,7,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,498 AVENUE OF THE AMER,C6-2, , , , , , , , , ,N,K4,4,0, ,SIXTH AVENUE EQUITIES,2000,4032,2432,1600,0,2432,0,0,0,0,2,1,4,2,4,20,100,20,40, ,3,N,5,2,136350,955350,0,0,1900,1988,0, , ,2.02,6.02,6,6.5,1,1005760007,0,63,985020,207526,12c, ,103 020,10207, ,1005760007,2/17/1988,1, , ,17V1.1,0,251.8822331,2153.367165,819000,8,0,4529,4529,9,2025,23.70299912,25.35111046,1.648111343,23.8861226,0.517951425,214.9751034 +4529,MN,140,7501,101,21,2000,2,1,10007,E007,1,15,7700, ,1, ,303 GREENWICH STREET,C6-3,C6-3A, , , , ,TMU, , , ,Y,RM,4,0,P,THE TRIBECA CONDOMINI,14626,87895,16109,71786,0,12404,0,0,0,3705,2,1,11,79,87,132.17,78.87,78.87,132.1, ,0,N,5,5,921607,15854408,56413,106150,1987,0,0, , ,6.01,7.52,6,10,1,1001407501,499,21,981352,200238,12a, ,101S016,10104, ,1001400014,12/31/1987,1, , ,17V1.1,7,620.8182168,14952.67305,14932800,14,0,4530,4530,66,14850,15.5666666,18.1439991,2.577332497,18.06431899,0.392079812,1192.245053 +4530,MN,450,12,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,314 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,K&T REALTY ASSOCIATES,2348,10410,2050,8360,0,2050,0,0,0,0,2,1,6,16,18,25,93.92,25,81, ,3,N,5,2,319500,1044900,0,0,1910,0,0, , ,4.43,4,0,4,1,1004500012,0,38,987956,204760,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.9867849,2434.802754,725400,12,0,4531,4531,10,2250,25.4810009,26.6807785,1.199777603,25.60097866,0.359933281,256.0097866 +4531,MN,792,32,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,105 WEST 16 STREET,C6-2A, , , , , , , , , ,N,S3,4,0, ,WASSFAM,1725,4025,1500,2525,0,1500,0,0,0,0,2,1,3,3,4,25,69,25,69,E,3,N,5,5,160716,371293,0,0,1920,0,0, , ,2.33,6.02,6,6.5,1,1007920032,0,81,985304,208522,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,194.500797,1845.722667,210577,7,0,4532,4532,9,2025,27.66555595,27.66555595,0,27.66555595,0,248.9900036 +4532,MN,591,34,102,73,4005,2,3,10014,E024,6,15,6400,1,2,2B,18 BARROW STREET,C4-5, , , , , , , , , ,N,K2,5,0,P,O PORTO HOLDING COMPA,2192,3830,3830,0,0,3830,0,0,0,0,2,1,2,0,2,50,66.42,50,66.42, ,2,Y,5,2,190800,748800,0,0,1920,2006,0,Greenwich Village Historic District, ,1.75,3.44,3.4,6.5,1,1005910034,0,73,983389,206191,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,220.3133667,2505.680359,558000,9,0,4533,4533,12,2700,22.84600067,23.81222153,0.966220856,23.01594496,0.334463885,276.1913395 +4533,MN,515,36,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,135 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D4,3,0,P,KEH REALTY CORP,2567,15524,2400,13124,0,2400,0,0,0,0,2,1,6,5,6,25.67,100,26,93,E,2,N,5,2,333537,947322,0,0,1910,2008,2005,SoHo-Cast Iron Historic District, ,6.05,0,5,6.5,1,1005150036,0,49,984232,203703,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,264.807767,2879.14466,613785,9,0,4534,4534,12,2700,20.20444489,20.20444489,0,20.20444489,0,242.4533386 +4534,MN,277,43,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,30 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,CHINATOWN PRESERVATIO,2512,10836,1900,8936,0,1900,0,0,0,0,2,1,6,16,18,25,100,25,86, ,3,N,5,2,168750,578700,140063,480321,1900,1981,1998, , ,4.31,3.44,0,6.5,1,1002770043,0,8,985262,198912,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,257.6400853,2650.313292,409950,16,0,4535,4535,11,2475,21.55400085,21.55400085,0,21.55400085,0,237.0940094 +4535,MN,267,10,103,2.02,1001,1,2,10002,E015,7,14,8000,1,3,1B,280 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,K1,5,0, ,GOUVERNEUR SHOPPINGCE,34515,25127,25127,0,0,25127,0,0,0,0,2,1,1,0,4,175.17,186.75,137,186.75, ,0,Y,5,5,1098000,2770200,0,0,1974,0,0, , ,0.73,3.44,0,6.5,1,1002670010,0,202,988791,199257,12d, ,101N059,10107, ,0, ,1, , ,17V1.1,0,736.7761714,33898.84961,1672200,13,0,4536,4536,150,33750,30.46444511,33.48555374,3.021108627,31.05147835,0.707807292,4657.721752 +4536,MN,106,3,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,274 WATER STREET,C6-2A, , , , , ,LM, , , ,N,C6,2,0, ,274 WATER STREET OWNE,3228,16067,0,16067,0,0,0,0,0,0,2,1,5,10,10,25.13,129.79,22,110, ,3,Y,5,2,267394,634635,0,249934,1920,1986,2004,South Street Seaport Historic District E, ,4.98,6.02,6,6.5,1,1001060003,0,1501,983897,197535,12b, ,11S 023,10103, ,1001060002,11/8/2002,1,1,1,17V1.1,0,306.8904811,3073.268856,367241,4,1,4537,4537,13,2925,9.201000214,13.02933311,3.828332901,9.665589919,1.134770764,125.652669 +4537,MN,901,35,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,248 EAST 21 STREET,R9A, , , ,C1-5, , , , , ,N,C4,2,0, ,"LEE, CHOI YAM",1218,4710,0,4710,0,0,0,0,0,0,2,1,5,10,10,29,42,29,32, ,3,N,5,2,53303,250993,0,0,1913,0,0, , ,3.87,7.52,0,7.52,1,1009010035,0,64,989161,207652,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,147.829078,1304.747316,197690,5,0,4538,4538,6,1350,19.86555672,19.86555672,0,19.86555672,0,119.1933403 +4538,MN,93,25,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,166 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,L8,6,0,P,WENN LTD,2310,13840,8304,5536,3704,4600,0,0,0,0,2,1,5,0,2,26,66.83,26,67, ,3,Y,5,2,197550,1276200,0,0,1900,1988,0, , ,5.99,10,10,10,1,1000930025,0,1501,982720,198005,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,231.5497143,2269.241079,1078650,4,0,4539,4539,11,2475,25.50699997,27.75866699,2.251667023,25.92979795,0.737840426,285.2277775 +4539,MN,615,36,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,87 GREENWICH AVENUE,C1-6,R6, , , , , , , , ,Y,D6,4,0, ,1 BANK STREET CORP,12312,64840,11023,53817,0,11023,0,0,0,0,2,1,6,77,82,89.33,149.5,87,138, ,2,Y,3,2,1170000,9092700,0,0,1930,1987,0,Greenwich Village Historic District, ,5.27,3.44,2,6.5,1,1006150036,0,77,983713,207887,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,470.7792154,12977.94438,7922700,8,0,4540,4540,56,12600,23.05999947,26.9422226,3.882223129,23.15482092,0.528050865,1296.669971 +4540,MN,465,49,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,155 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,"DISALVO, MANAGER, CAT",1508,4457,2100,2357,0,2100,0,0,0,0,2,1,4,4,5,15.08,100,15,85,E,3,N,5,5,118702,177290,0,0,1900,0,0, , ,2.96,4,0,4,1,1004650049,0,40,987777,205126,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,246.4758414,1580.355258,58588,12,0,4541,4541,8,1800,31.03333282,31.03333282,0,31.03333282,0,248.2666626 +4541,MN,743,25,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,327 WEST 19 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"POPE, SARAH ANDERSON",1894,3520,0,2640,0,0,0,0,0,0,2,1,3,3,3,20.58,92,20.58,44,E,3,N,5,1,46132,149825,0,0,1910,0,0, , ,1.86,3,0,3,1,1007430025,0,89,983909,210145,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,229.5774468,2000.139654,103693,7,0,4542,4542,9,2025,15.57888889,19.67333221,4.094443321,17.0779011,1.707063292,153.7011099 +4542,MN,400,56,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,203 EAST 4 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,199-203 EAST FOURTH O,2404,6975,0,6975,0,0,0,0,0,0,2,1,5,10,10,25,96.17,25,55, ,3,N,5,2,35265,156221,0,0,1900,1987,2012, , ,2.9,3,0,3,1,1004000056,0,32,988732,203077,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,257.5834323,2594.792064,120956,1,0,4543,4543,12,2700,15.8922224,17.38000107,1.487778664,16.42882419,0.554653029,197.1458902 +4543,MN,621,4,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,544 HUDSON STREET,C1-6, , , , , , , , , ,N,O8,5,0, ,WILLIAM GOTTLIEB REAL,1895,4573,4000,573,3808,0,192,0,0,0,2,1,2,1,4,27,35.08,27,68, ,2,Y,5,0,216000,389700,0,0,1920,1982,0,Greenwich Village Historic District, ,2.41,3.44,2,6.5,1,1006210004,0,73,982631,206982,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,207.4658824,2169.00509,173700,9,0,4544,4544,9,2025,21.76222229,21.76222229,0,21.76222229,0,195.8600006 +4544,MN,286,18,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,243 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,"243 HENRY STREET, LLC",3694,18170,1400,16770,0,1400,0,0,0,0,2,1,6,24,26,46.17,80,46,71, ,2,N,5,1,249300,1714950,0,0,1900,1988,0, , ,4.92,3.44,0,6.5,1,1002860018,0,201,988265,199390,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,262.6192139,3960.625726,1465650,13,0,4545,4545,17,3825,29.71888924,32.05333328,2.334444046,30.18502617,0.858225394,513.1454449 +4545,MN,434,7503,103,32,2000,1,2,10009,L011,9,14,6600,3,3, ,102 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,1488,3807,893,2914,0,893,0,0,0,0,2,1,4,4,5,21.25,70,0,0, ,0,N,5,5,8165,134194,6536,9440,1900,0,0, , ,2.56,4,0,4,1,1004347503,811,32,988181,203934,12c, ,102 020,10205, ,1004340002,11/30/1992,1, , ,17V1.1,7,188.9076633,1636.143259,126029,1,0,4546,4546,7,1575,20.12299919,24.84222221,4.719223022,21.27609471,1.859437416,148.932663 +4546,MN,753,28,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,315 WEST 29 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,CHELSEA 29 LLC,2173,5808,0,5808,0,0,0,0,0,0,2,1,4,10,10,22,98.75,22,47,E,3,N,5,1,111963,524314,0,0,1900,1986,0, , ,2.67,4,0,4,1,1007530028,0,97,985215,212384,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,253.3024369,2441.699646,412351,6,0,4547,4547,11,2475,28.20800018,32.28555298,4.077552795,29.44842425,1.657598043,323.9326668 +4547,MN,574,64,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,39 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0, ,39 W. 10TH LLC,2321,4280,0,4280,0,0,0,0,0,0,2,1,3,1,1,24.5,94.75,24.5,46, ,3,N,5,1,116482,282026,0,0,1800,1994,0,Greenwich Village Historic District, ,1.84,2.43,0,4.8,1,1005740064,0,63,985011,206845,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.6750973,2340.184714,165544,8,0,4548,4548,11,2475,20.66300011,25.91333389,5.250333786,23.0369495,2.183210316,253.4064446 +4548,MN,16,10,101,317.04,4001,2,1,10280,E010,1,15,8900,1,1,1A,18 1 PLACE,BPC, , , , , ,BPC, , , ,N,P7,8,0,X,MUSEUM OF JEWISH HERI,64432,114100,114100,0,0,0,0,0,0,114100,2,1,4,0,2,214,251,0,0, ,0,Y,5,5,7785000,37433250,7785000,37433250,1997,2002,0, , ,1.77,0,0,0,1,1000160010,0,31704,979093,196488,12b, ,101S088,10101, ,1000160003,9/30/1988,1,1,1,17V1.1,0,1083.954675,68278.68387,29648300,15,1,4549,4549,305,68625,9.491110802,13.26555538,3.77444458,10.73134158,0.635947134,3273.059183 +4549,MN,776,68,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,254 WEST 27 STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,JW NY REALTY LLC,700,2084,2084,0,0,2084,0,0,0,0,2,1,2,0,2,50.92,14.92,50.92,14, ,3,Y,5,2,315000,333000,0,0,1930,0,0, , ,2.98,6.02,6,6.5,1,1007760068,0,95,985280,211632,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,128.0492928,699.9936684,18000,2,0,4550,4550,4,900,26.21666718,26.73777771,0.521110535,26.59061146,0.216336757,106.3624458 +4550,MN,805,94,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,144 WEST 30 STREET,M1-6, , , , , , , , , ,N,O4,5,0,P,150 HABERN LLC,13705,216841,216841,0,205999,10842,0,0,0,0,2,1,20,0,90,138,98.75,136,98, ,3,Y,5,2,3339000,15866100,0,0,1926,0,0, , ,15.82,0,10,10,1,1008050094,0,95,986469,211806,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,478.1561589,13389.66167,12527100,6,0,4551,4551,59,13275,34.63499832,37.12111282,2.486114502,34.73591181,0.418061942,2049.418797 +4551,MN,555,48,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,105 EAST 9 STREET,C6-2A, , , , , , , , , ,N,S4,4,0, ,FU FAMILY LLC,1380,5990,1200,4790,0,1200,0,0,0,0,2,1,5,4,5,30,46,30,46, ,1,N,5,5,83799,527748,0,0,1900,2009,0, , ,4.34,6.02,6,6.5,1,1005550048,0,42,987007,205431,12c, ,102 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,17V1.1,7,422.9756473,11177.53284,13402800,8,0,4556,4556,50,11250,23.70299912,26.31222153,2.609222412,23.89884808,0.66534373,1194.942404 +4556,MN,416,22,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,167 ALLEN STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,"167-169 ALLEN ST., HD",2288,9000,970,8030,0,970,0,0,0,0,2,2,5,15,16,25.5,88,26,47, ,3,Y,5,2,225000,391950,225000,257827,1900,1986,0, , ,3.93,4,4,4,1,1004160022,0,3601,987100,202079,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,233.3667555,2327.693063,166950,1,0,4557,4557,10,2250,35.94111252,35.94111252,0,35.94111252,0,359.4111252 +4557,MN,897,68,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,214 EAST 17 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,CHUMLEY NORRIS,1784,5376,0,5376,0,0,0,0,0,0,2,1,4,7,7,22,80,22,60,E,3,Y,5,1,48672,228488,0,0,1925,1958,0,Stuyvesant Square Historic District, ,3.01,3,0,3,1,1008970068,0,48,988372,206951,12c, ,102 036,10308, ,0, ,1, , 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, ,LI, , , ,N,D6,4,0, ,192 PROPERTIES LLC,2438,9824,2400,7424,0,2400,0,0,0,0,2,1,6,9,10,24.67,98.83,25,98, ,3,N,5,2,661907,2119455,269711,1727259,2004,0,0, , ,4.03,6.02,6,6.5,1,1004920002,0,43,985829,202189,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,252.6398072,2523.266875,1457550,0,0,4571,4571,11,2475,39.76666641,39.76666641,0,39.76666641,0,437.4333305 +4571,MN,250,43,103,8,5001,2,1,10038,E009,5,14,7800,1,3,1A,394 WATER STREET,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,59344,0,0,0,0,0,0,0,0,0,7,1,1,0,0,487,121,0,20, ,0,Y,1,5,1669500,2165400,1669500,2165400,0,0,0, , ,0,0,0,0,1,1002500043,0,8,985586,198007,12d, ,101S028,10106, ,0, ,1,1,1,17V1.1,0,1230.10568,58979.96453,495900,16,1,4572,4572,261,58725,6.498333454,11.61166668,5.113333225,9.440180916,1.259600825,2463.887219 +4572,MN,455,33,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,235 1 AVENUE,C1-7A, , , , , , , , , ,N,O5,5,0, ,237 FIRST OWNERS LLC,2595,11149,11149,0,8849,2300,0,0,0,0,2,1,6,0,16,43.25,60,43,60, ,3,N,3,2,405000,2708100,0,0,1951,0,0, , ,4.3,6.02,2,6.5,1,1004550033,0,40,988976,205703,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,216.7108459,2862.052977,2303100,12,0,4573,4573,12,2700,22.17099953,23.36555672,1.19455719,22.3436292,0.363087754,268.1235504 +4573,MN,588,60,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,328 BLEECKER STREET,C1-6, , , , , , , , , ,N,S5,4,0,P,"GHS,",1537,6148,1537,4611,0,1537,0,0,0,0,2,1,4,5,6,20,59.92,20,60, ,2,Y,3,5,148378,414337,0,0,1910,0,0,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1005880060,0,73,983029,206427,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,180.400792,1721.265701,265959,9,0,4574,4574,8,1800,20.90555573,25.27111053,4.36555481,21.45125008,1.443771545,171.6100006 +4574,MN,452,51,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,213 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,RENTAL APARTMENTS,2369,8940,0,8940,0,0,0,0,0,0,2,1,5,20,20,25,94.75,25,81, ,3,N,5,2,183150,912150,0,0,1900,1989,0, , ,3.77,4,0,4,1,1004520051,0,40,988171,205095,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.2065285,2530.66064,729000,12,0,4575,4575,11,2475,22.86222267,27.89999962,5.037776947,23.37448519,1.441249334,257.1193371 +4575,MN,871,21,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,22 IRVING PLACE,R8A, , , , , , , , , ,N,D4,3,0, ,22 IRVING PL CORP,4940,16200,0,16200,0,0,0,0,0,0,2,1,5,29,29,61.75,80,61.75,55, ,3,N,5,1,430650,1744650,103445,103445,1945,1987,0, , ,3.28,6,0,6,1,1008710021,0,50,987612,206984,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,291.0790053,5173.599462,1314000,5,0,4576,4576,24,5400,33.78900146,38.57666779,4.787666321,34.53685315,1.678417197,828.8844757 +4576,MN,625,4,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,805 GREENWICH STREET,R6, , , , , , , , , ,N,C3,2,0, ,SAM'S ABODE INC,985,2144,0,2144,0,0,0,0,0,0,2,1,3,4,4,18,50,18,43, ,3,N,5,5,128988,239791,0,0,1905,0,0,Greenwich Village Historic District, ,2.18,2.43,0,4.8,1,1006250004,0,79,982503,208146,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,137.6489487,935.6997899,110803,8,0,4577,4577,5,1125,15.4800005,15.98111057,0.501110077,15.58022251,0.200444031,77.90111256 +4577,MN,625,39,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,21 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,HM VENTURE GROUP 3 LL,757,1854,618,1236,0,618,0,0,0,0,2,1,3,1,2,20,40.83,20,32, ,3,Y,5,5,191754,264576,0,0,1900,2000,2013,Greenwich Village Historic District, ,2.45,3.44,2,6.5,1,1006250039,0,77,982943,208109,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,124.6264641,867.4805877,72822,8,0,4578,4578,4,900,17.76333427,17.76333427,0,17.76333427,0,71.0533371 +4578,MN,507,48,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,232 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,BARI REST&PIZZERIA EQ,1023,4599,4599,0,0,1533,0,0,0,3066,2,1,3,0,1,20.58,74.5,20.58,74.5, ,0,Y,3,5,153000,564750,0,0,1900,0,0, , ,4.5,3.44,6,6.5,1,1005070048,0,43,986047,202520,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,195.0460197,1293.013203,411750,0,0,4579,4579,7,1575,45.96144485,46.38299942,0.421554565,46.32277734,0.147513369,324.2594414 +4579,MN,923,16,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,323 EAST 17 STREET,R8A,R7B, , , , , , , , ,Y,B1,1,0, ,323 EAST 17 REALTY CO,1850,5400,0,5400,0,0,0,0,0,0,2,1,4,2,2,19,106,19,65,E,3,Y,5,2,61722,117226,0,0,1910,2005,1986, , ,2.92,6,0,6,1,1009230016,0,48,989123,206702,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,262.2142793,1891.301729,55504,5,0,4580,4580,7,1575,16.06999969,16.06999969,0,16.06999969,0,112.4899979 +4580,MN,448,11,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,54 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,BOWMAN REALTY CORP,2498,9425,0,9425,0,0,0,0,0,0,2,1,5,20,20,25,99.92,25,87, ,3,N,5,2,134100,1059300,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004480011,0,38,987712,204318,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,254.9853257,2541.741423,925200,12,0,4581,4581,11,2475,27.1590004,28.41266632,1.253665924,27.35985895,0.43079254,300.9584484 +4581,MN,539,12,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,231 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,GRABOWICZ ANDRE,1500,4925,925,4000,0,925,0,0,0,0,2,1,5,5,6,15,100,15,68, ,3,N,5,5,37781,216693,0,0,1900,1986,0,South Village Historic District, ,3.28,3.44,0,6.5,1,1005390012,0,65,984429,205124,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,230.8869291,1402.801443,178912,9,0,4582,4582,5,1125,25.23555565,25.23555565,0,25.23555565,0,126.1777782 +4582,MN,537,25,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,540 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,540 L.C. CORP.,1935,7675,3283,4392,0,3283,0,0,0,0,2,2,5,4,5,21.5,90,22,40, ,3,N,5,5,168501,322251,0,0,1900,1968,0,South Village Historic District, ,3.97,3.44,0,6.5,1,1005370025,0,65,984636,204832,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,225.6308262,1947.727122,153750,9,0,4583,4583,8,1800,27.39777756,27.39777756,0,27.39777756,0,219.1822205 +4583,MN,790,66,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,154 WEST 15 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,154 W 15 ST TENANTS,2065,8900,0,8900,0,0,0,0,0,0,2,1,6,12,12,20,103.25,20,70, ,3,N,5,2,162000,1196550,18880,18880,1910,1985,0, , ,4.31,4,0,4,1,1007900066,0,81,984617,208434,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,255.0801332,2313.518432,1034550,7,0,4584,4584,11,2475,27.73777771,29.16889,1.431112289,27.86787883,0.411415857,306.5466671 +4584,MN,281,11,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,26 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,BROADWAY CHINATOWN RL,1982,8874,1625,7249,0,1625,0,0,0,0,2,1,6,8,11,25,79.33,25,64, ,3,Y,5,2,115650,899100,0,0,1900,1988,0, , ,4.48,3.44,6,6.5,1,1002810011,0,8,985147,199304,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,218.3027325,2090.646464,783450,16,0,4585,4585,7,1575,33.92777634,36.55444336,2.626667023,34.97400011,0.823971769,244.8180008 +4585,MN,553,37,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,115 WAVERLY PLACE,R6, , , , , , , , , ,N,A4,1,0, ,WAVERLY PLACE ASSOCI,1800,3780,0,2880,0,0,0,0,0,0,2,1,4,1,1,18,100,18,50, ,3,N,5,1,111223,370450,0,0,1900,2003,0,Greenwich Village Historic District, ,2.1,2.43,0,4.8,1,1005530037,0,63,984491,206227,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,237.6283072,1713.87269,259227,8,0,4586,4586,8,1800,17.50333405,18.10599899,0.602664948,18.03066587,0.199312697,144.245327 +4586,MN,539,19,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,82 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0,P,DTGVA ASSOCIATES LLC,1983,7750,3950,3800,0,3950,0,0,0,0,2,1,3,2,4,25,79.33,25,79, ,3,N,5,1,290250,1197000,0,0,1910,2008,0,South Village Historic District, ,3.91,3.44,0,6.5,1,1005390019,0,65,984527,205115,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,205.8197267,1912.722683,906750,9,0,4587,4587,9,2025,25.23555565,25.23555565,0,25.23555565,0,227.1200008 +4587,MN,176,17,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,179 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,K2,5,0, ,179 WEST LLC,1237,2580,2580,0,0,2580,0,0,0,0,2,1,2,0,1,24.75,50,24,50, ,0,N,5,5,132750,670050,0,0,1915,2003,0, , ,2.09,6.02,6,6.5,1,1001760017,0,33,982292,200828,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,157.2166696,1338.178859,537300,14,1,4588,4588,6,1350,11.875,11.89999962,0.024999619,11.87944428,0.009212735,71.27666569 +4588,MN,53,6,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,109 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,C7,4,0, ,109 WASHINGTON STREET,2361,9565,1913,7652,0,1913,0,0,0,0,2,1,5,16,17,25.17,93.75,25,74, ,3,Y,5,2,214200,703350,0,0,1915,0,0, , ,4.05,10,15,15,1,1000530006,0,13,980369,197429,12b, ,11S 009,10101, ,0, ,1,1,1,17V1.1,0,243.870647,2557.618491,489150,15,1,4589,4589,12,2700,7.869999886,9.279999733,1.409999847,8.074462811,0.430207728,96.89355373 +4589,MN,542,51,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,99 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"99 MACDOUGAL, LLC.",2500,9155,3250,5905,0,3250,0,0,0,0,2,1,5,16,19,25,100,25,88, ,3,N,5,2,256050,1944450,0,0,1900,0,0,South Village Historic District, ,3.66,3.44,0,6.5,1,1005420051,0,65,983946,205111,12a,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,253.8278891,2488.614603,1688400,9,0,4590,4590,10,2250,18.38111115,18.81533432,0.434223175,18.42453346,0.130266953,184.2453346 +4590,MN,400,57,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,201 EAST 4 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,199-203 EAST FOURTH O,2404,6875,0,6875,0,0,0,0,0,0,2,1,5,9,9,25,96.17,25,55, ,3,N,5,2,26105,127150,0,0,1900,1987,2011, , ,2.86,3,0,3,1,1004000057,0,32,988710,203089,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,257.5840539,2594.806728,101045,1,0,4591,4591,11,2475,15.8922224,17.62555504,1.733332634,16.47353554,0.679325664,181.2088909 +4591,MN,440,21,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,424 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"424 EAST ASSETS, INC.",4164,16404,0,16404,0,0,0,0,0,0,2,1,6,35,35,40.33,103.25,40,86, ,3,N,5,2,329850,569700,0,0,1900,1988,0, , ,3.94,4,0,4,1,1004400021,0,34,989184,205248,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,294.5430828,4301.194998,239850,12,0,4592,4592,18,4050,16.59444427,20.29111099,3.696666718,16.99740728,1.139990303,305.953331 +4592,MN,530,19,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,25 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D7,4,0, ,22 BNDO LLC,5134,25533,2700,22833,0,2700,0,0,0,0,2,2,11,6,7,25.67,200,25.67,200, ,0,N,4,5,255779,1621728,0,0,1930,2007,2006,NoHo Historic District Extension, ,4.97,0,5,6.5,1,1005300019,0,5502,986018,204080,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,469.9780432,5570.622487,1365950,9,0,4593,4593,25,5625,42.8848877,44.21488953,1.330001831,43.1654657,0.221402189,1079.136642 +4593,MN,797,82,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,203 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S4,4,0,C,HOUSING PRESERVATION,921,3700,753,2947,0,753,0,0,0,0,2,1,5,4,5,18.42,50,18.42,40, ,3,N,5,5,165245,382545,165245,382545,1910,0,0, , ,4.02,6,0,6,1,1007970082,0,87,985349,210026,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,137.8434338,897.8402145,217300,7,0,4594,4594,3,675,28.16444397,28.16444397,0,28.16444397,0,84.49333191 +4594,MN,633,37,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,703 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,K9,5,0,P,GREENWICH HEIGHTS COR,8250,10152,10152,0,0,10152,0,0,0,0,2,1,2,0,6,68.58,123.67,68.58,123.67, ,2,Y,3,0,513000,660150,0,0,1940,1979,0,Greenwich Village Historic District, ,1.23,4,2,4,1,1006330037,0,75,981983,207081,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,432.7451847,8931.013388,147150,9,0,4595,4595,42,9450,15.33111095,20.21555519,4.884444237,15.79473005,1.109945085,663.3786621 +4595,MN,858,29,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1B,35 EAST 28 STREET,C5-2, , , , , , , , , ,N,L8,6,0, ,35 E. 28TH ST. MANAGE,1980,3849,3849,0,0,2255,0,1594,0,0,2,1,3,0,3,20.83,98.75,21,99,E,3,N,5,2,175500,585900,0,0,1915,0,0, , ,1.94,10,10,10,1,1008580029,0,74,988484,210276,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,245.9443861,2052.240157,410400,11,0,4596,4596,9,2025,36.10889053,36.10889053,0,36.10889053,0,324.9800148 +4596,MN,826,57,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,24 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,UNIZO REAL ESTATE NY,9875,133561,133561,0,121000,12561,0,0,0,0,2,2,12,0,28,100,98.75,100,86,E,0,N,5,5,3519000,11294100,0,0,1911,2013,0, , ,13.53,0,10,10,1,1008260057,0,58,986902,210092,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,402.2040833,10110.10812,7775100,2,0,4597,4597,46,10350,33.45800018,43.05888748,9.600887299,34.0694833,2.316433159,1567.196232 +4597,MN,164,46,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,19 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,EAST OCEAN LLC,2302,10032,2200,7832,0,2200,0,0,0,0,2,1,5,16,19,26.08,85.83,26,84, ,2,Y,5,2,128250,652050,0,0,1915,0,0, , ,4.36,3.44,6,6.5,1,1001640046,0,29,984524,199528,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,234.544994,2525.099936,523800,14,0,4598,4598,11,2475,25.58300018,28.12088776,2.537887573,25.81371724,0.72959138,283.9508896 +4598,MN,636,45,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,400 WEST STREET,C1-6A, , , , , , , , , ,N,A9,1,0, ,"FREAKLEY, SIMON",1935,7705,0,7705,0,0,0,0,0,0,2,1,5,1,1,22.25,93.75,22.25,93.75, ,3,Y,5,2,24917,155712,0,0,1950,2008,2008, , ,3.98,4,2,4,1,1006360045,0,75,981531,206526,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,242.2788177,1999.140955,130795,9,1,4599,4599,8,1800,7.570000172,9.192000389,1.622000217,8.989250362,0.53642615,71.9140029 +4599,MN,927,55,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,374 2 AVENUE,C1-9A,R8B, , , , , , , , ,Y,O6,5,0,P,"MOGELOF, ANDREW TRUST",17640,182258,170258,12000,158160,12098,0,0,0,0,2,1,10,0,26,84.58,194.08,84.58,194, ,3,Y,3,0,4635000,20571750,0,0,1909,2008,2006, , ,10.33,10,2,10,1,1009270055,0,64,989503,207730,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,597.0919176,18570.24274,15936800,11,0,4600,4600,82,18450,12.9244442,21.17888832,8.254444122,13.59845099,1.904457825,1115.072981 +4600,MN,495,41,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,215 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"215 MULBERRY REALTY,",1702,5591,1267,4324,0,1267,0,0,0,0,2,1,5,8,9,22.17,74.42,22,49, ,2,Y,5,1,35736,155859,0,0,1900,1983,0, , ,3.28,6.02,6,6.5,1,1004950041,0,43,985246,202383,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,200.5278991,1824.861816,120123,0,0,4601,4601,8,1800,37.57110977,39.16777802,1.596668243,37.79680443,0.522670962,302.3744354 +4601,MN,794,25,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,125 WEST 18 STREET,C6-2A,C6-3A, , , , , , , , ,Y,O6,5,0, ,WASSERSTEIN ENTERPRIS,37045,228000,228000,0,188800,30000,0,0,0,9200,2,1,8,0,9,201.33,184,201,184, ,0,Y,4,5,6165000,17021700,0,0,1917,1987,0,Ladies' Mile Historic District, ,6.15,6.02,6,6.5,1,1007940025,0,87,985424,209080,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,802.2518737,37570.71302,10856700,7,0,4602,4602,168,37800,27.66555595,31.60888863,3.943332672,27.78589984,0.626312294,4668.031174 +4602,MN,451,25,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,228 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"228 EAST 10TH LLC, A",2300,6928,1000,5928,0,1000,0,0,0,0,2,1,5,9,10,25,92.25,25,82,E,3,N,5,2,59200,185056,0,0,1900,1988,0, , ,3.01,4,0,4,1,1004510025,0,40,988272,204865,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,239.7172534,2372.319924,125856,12,0,4603,4603,9,2025,23.10400009,23.10400009,0,23.10400009,0,207.9360008 +4603,MN,911,1,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,431 3 AVENUE,C1-9, , , , , , , , , ,N,D6,4,0, ,"R&R ASSETS, LLC",9875,45947,6000,39947,0,6000,0,0,0,0,2,1,6,52,58,98.75,100,92,86, ,2,N,3,2,1260000,6631200,0,0,1920,1985,0, , ,4.65,10,2,10,1,1009110001,0,70,989926,210068,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,403.7805831,10187.17986,5371200,10,0,4604,4604,45,10125,29.22888947,32.99000168,3.761112213,29.33027467,0.558451761,1319.86236 +4604,MN,376,3,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,94 AVENUE C,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,"L & R 94 C, LLC",1179,3962,1000,2962,0,1000,0,0,0,0,2,1,4,3,4,22.67,52,23,43, ,2,N,5,5,17649,120668,0,0,1900,0,0, , ,3.36,4,0,4,1,1003760003,0,2602,990089,202912,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,159.7762587,1340.958736,103019,1,1,4605,4605,5,1125,7.864444256,7.864444256,0,7.864444256,0,39.32222128 +4605,MN,863,44,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,66 EAST 34 STREET,C5-3, , , , , , , , , ,N,D6,4,0, ,4 PARK AVENUE ASSOCIA,15800,341952,77190,264762,54656,8800,13734,0,0,0,2,1,21,364,367,80,197.5,80,197, ,2,N,3,1,4387500,32254200,0,0,1913,0,0, , ,21.64,10,15,15,1,1008630044,0,74,989252,211382,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,575.1854636,16691.58458,27866700,10,0,4606,4606,73,16425,49.51499939,63.24222183,13.72722244,49.95594312,2.255334434,3646.783848 +4606,MN,584,26,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,42 COMMERCE STREET,R6, , , , , , , , , ,N,C7,4,0, ,LITTLE GODDESS INC,2512,8401,1500,6901,0,0,0,0,0,1500,2,1,4,8,9,23.08,78,23,75, ,3,Y,5,2,128857,469163,0,0,1915,0,0,Greenwich Village Historic District, ,3.34,2.43,0,4.8,1,1005840026,0,67,982749,205679,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,221.7554534,2555.63821,340306,9,0,4607,4607,11,2475,16.16111183,16.16111183,0,16.16111183,0,177.7722301 +4607,MN,437,8,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4B,162 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"BRUNI, ROSA P",1266,4478,1120,3358,0,1120,0,0,0,0,2,1,4,7,8,23.08,54.83,23,50, ,3,N,3,2,117037,365914,0,0,1900,1988,0, , ,3.54,4,0,4,1,1004370008,0,34,988607,204718,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,162.0569449,1348.300665,248877,12,0,4608,4608,5,1125,17.51666641,17.51666641,0,17.51666641,0,87.58333206 +4608,MN,376,23,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,262 EAST 7 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,262 E. 7ST INC,2059,4154,0,4154,0,0,0,0,0,0,2,1,3,4,4,22.67,90.83,22.67,42,E,0,N,5,5,36485,48210,0,0,1900,0,0, , ,2.02,4,0,4,1,1003760023,0,2602,990448,202805,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,229.5998796,2025.999335,11725,12,1,4609,4609,10,2250,7.864444256,11.80000019,3.935555935,8.797888756,1.48882884,87.97888756 +4609,MN,629,40,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,69 8 AVENUE,C1-6, , , , , , , , , ,N,C6,2,0, ,67 8 AVE OWNERS INC,2575,10055,2000,8055,0,2000,0,0,0,0,2,1,5,18,20,25.75,100,26,80, ,3,N,5,2,270000,1494900,1202,1202,1910,0,0,Greenwich Village Historic District, ,3.9,3.44,2,6.5,1,1006290040,0,77,983373,208668,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,259.6505878,2608.483528,1224900,8,0,4610,4610,13,2925,16.45777702,16.45777702,0,16.45777702,0,213.9511013 +4610,MN,927,7501,106,64,4000,2,2,10010,E005,13,14,5900,1,6, ,312 EAST 22 STREET,R8B, , , , , , , , , ,N,R4,3,0, , ,3569,20335,0,20335,0,0,0,0,0,0,2,1,5,15,15,40.85,97.5,0,0, ,0,Y,0,5,387001,2307152,33282,46177,1910,0,0, , ,5.7,4,0,4,1,1009277501,937,64,989602,207671,12c, ,102 048,10309, ,1009270048,12/24/1996,1, , ,17V1.1,7,278.0323091,3895.452672,1920150,11,0,4611,4611,18,4050,12.9244442,16.18300056,3.258556366,13.10547511,0.74640956,235.8985519 +4611,MN,885,71,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,154 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,M1,8,0,X,FIRST MORAVIAN CHURCH,3950,3358,3358,0,0,0,0,0,0,3358,2,1,1,0,1,49.33,80,49,75, ,2,N,3,1,490500,720000,490500,720000,1910,0,0, , ,0.85,6.02,6,6.5,1,1008850071,0,72,989267,210283,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,267.3109615,4206.80945,229500,10,0,4612,4612,18,4050,30.74888992,32.84000015,2.091110229,32.69666693,0.485452471,588.5400047 +4612,MN,542,52,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,97 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MOSCONI RLTY NO. 2,1621,5750,2000,3750,0,2000,0,0,0,0,2,1,4,7,8,21.58,75,22,56,E,3,N,5,1,131412,445512,0,0,1900,0,0,South Village Historic District, ,3.55,3.44,0,6.5,1,1005420052,0,65,983944,205084,12a,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,202.6333939,1842.389516,314100,9,0,4613,4613,9,2025,18.38111115,18.38111115,0,18.38111115,0,165.4300003 +4613,MN,797,29,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,117 WEST 21 STREET,C6-3A, , , , , , , , , ,N,D3,3,0, ,"117 WEST 21ST STREET,",4337,33771,0,33771,0,0,0,0,0,0,2,1,0,9,9,44.08,98.75,44,64, ,0,Y,5,5,360000,602784,0,0,2016,0,0, , ,7.79,7.52,6,7.5,1,1007970029,0,87,985784,209668,8d, ,103 030,10305, ,1007970029,12/20/2006,1, , ,17V1.1,0,295.045729,4544.878567,242784,7,0,4614,4614,21,4725,28.16444397,29.85322189,1.688777924,28.24486197,0.359640213,593.1421013 +4614,MN,417,53,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,3B,177 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,175-177 EAST HOUSTON,3938,14832,9582,5250,0,500,0,0,0,1260,2,2,4,12,17,42.75,97,25,45, ,3,N,5,2,443250,1768950,0,0,1900,2011,0, , ,3.77,6.02,6,6.5,1,1004170053,0,3001,987455,202520,12c, ,102 003,10204, ,1004170053,8/21/2012,1, , ,17V1.1,0,287.170623,4338.425161,1325700,1,0,4615,4615,20,4500,33.19499969,36.22000122,3.025001526,33.64286098,0.89008733,672.8572197 +4615,MN,588,7502,102,73,3003,2,3,10014,E024,6,15,6400,2,2, ,84 BEDFORD STREET,R6, , , , , , , , , ,N,R1,2,0, , ,1526,6414,0,6414,0,0,0,0,0,0,2,1,4,9,9,0.03,0,48,30, ,2,Y,0,5,4080,130562,0,0,1900,0,0, , ,4.2,2.43,0,4.8,1,1005887502,2319,73,982847,205956,12a, ,103 004,10208, ,1005880001,4/20/2012,1, , ,17V1.1,7,164.0691929,1568.067715,126482,9,0,4616,4616,7,1575,18.94666672,18.94666672,0,18.94666672,0,132.626667 +4616,MN,651,1,102,79,1003,2,3,10014,L005,6,15,6100,1,2, ,427 GANSEVOORT STREET,M3-2, , , , , , , , , ,N,Y6,7,0,O,NYS DOT,323300,137312,137312,0,0,0,0,0,0,137312,2,3,1,0,1,390.42,460,180,260, ,0,Y,5,5,6210450,15893550,6210450,15893550,1952,0,0, , ,0.42,0,2,0,1,1006510001,0,79,981110,208878,8b, ,103 050,10210, ,0, ,1,1,1,17V1.1,0,2587.768029,214114.3297,9683100,8,1,4617,4617,908,204300,0,24.52222252,24.52222252,6.61647694,3.984183617,6007.761062 +4617,MN,899,27,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,317 2 AVENUE,R9A, , , , , , , , , ,N,C1,2,0, ,317-319 SECOND REALTY,3406,13152,0,13152,0,0,0,0,0,0,2,1,6,18,18,34.67,98,35,60, ,3,N,5,2,229950,2361150,0,0,1910,2011,0, , ,3.86,7.52,0,7.52,1,1008990027,0,48,988890,207135,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,270.2119899,3452.023406,2131200,5,0,4618,4618,15,3375,20.82333374,20.82333374,0,20.82333374,0,312.3500061 +4618,MN,766,27,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,225 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,225 W 16TH ST CORP,2392,11200,1500,9700,0,1500,0,0,0,0,2,1,5,18,19,26,92,26,82, ,3,N,5,1,135450,913950,0,0,1910,0,0, , ,4.68,4,0,4,1,1007660027,0,81,984335,209070,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,244.6738401,2641.429759,778500,7,0,4619,4619,12,2700,21.88888931,25.14999962,3.261110306,22.42918555,1.208164894,269.1502266 +4619,MN,644,43,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,22 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K4,4,0, ,22 LITTLE WEST 12TH S,13260,64683,64683,0,21144,25500,0,0,0,0,2,3,6,0,6,104,158,52,99, ,3,Y,4,2,1305000,8358300,0,0,1908,2012,0,Gansevoort Market Historic District, ,4.88,0,5,6.5,1,1006440043,0,79,982213,208789,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,534.533172,13302.26076,7053300,8,0,4620,4620,58,13050,13.47799969,20.18888855,6.710888863,13.70685028,1.032688578,794.9973164 +4620,MN,754,78,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,362 9 AVENUE,C6-3X, , , , , , , , , ,N,O6,5,0,P,TEACHERS INSURANCE AN,21725,338962,338962,0,316842,13320,0,0,0,8800,2,1,16,0,51,98.75,220,99,216, ,3,N,3,2,5895000,40109400,0,0,1931,1989,2015, , ,15.6,9,6,9,1,1007540078,0,103,984991,212918,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,653.3035953,23300.46468,34214400,6,0,4621,4621,104,23400,33.70700073,40.25111008,6.544109344,34.15820261,1.473622689,3552.453072 +4621,MN,229,29,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,31 GREENE STREET,M1-5B, , , , , , , , , ,N,C6,2,0,P,CASSM REALTY CORP,2500,12000,0,12000,0,0,0,0,0,0,2,1,5,5,5,25,100,25,92,E,3,N,5,2,73734,351871,0,0,1900,1989,0,SoHo-Cast Iron Historic District, ,4.8,0,5,6.5,1,1002290029,0,47,983503,202111,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,253.8329028,2497.947052,278137,0,1,4622,4622,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +4622,MN,279,2,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,31 OLIVER STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,"31 OLIVER ST. NYC, LL",3261,15729,3089,12640,0,3089,0,0,0,0,2,1,6,25,29,45.33,76,45,76, ,3,Y,3,2,220500,1829250,0,0,1920,1986,0, , ,4.82,3.44,0,6.5,1,1002790002,0,27,984787,198715,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,231.5134927,3054.507615,1608750,16,0,4623,4623,13,2925,16.83866692,17.07600021,0.237333298,17.05774381,0.063242051,221.7506695 +4623,MN,97,57,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1, ,251 WATER STREET,C6-2A, , , , , ,LM, , , ,N,S4,4,0, ,VJHC HOLDING CORP.,1028,4910,2000,2910,0,2000,0,0,0,0,2,1,5,4,5,23,44.5,21,45, ,2,Y,3,5,163207,249080,0,0,1900,1978,0,South Street Seaport Historic District, ,4.78,6.02,6,6.5,1,1000970057,0,1501,983674,197235,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,143.8540636,1145.218505,85873,4,1,4624,4624,5,1125,5.993332863,5.993332863,0,5.993332863,0,29.96666431 +4624,MN,545,7501,102,57,2003,2,2,10003,E033,9,15,5700,2,2, ,696 BROADWAY,M1-5B, , , , , , , , , ,N,RC,5,0, ,700 BROADWAY 1891 LLC,9900,77249,77249,0,67649,9600,0,0,0,0,2,1,8,0,2,74,135,0,135, ,0,N,5,5,1741500,17544600,0,0,1906,0,0,NoHo Historic District, ,7.8,0,5,6.5,1,1005457501,681,57,985966,204655,12c, ,103 024,10207, ,1005450001,1/2/1990,1, , ,17V1.1,7,438.4669492,10984.60929,15803100,9,0,4625,4625,50,11250,39.52700043,41.93855667,2.411556244,39.78617157,0.708314681,1989.308578 +4625,MN,519,26,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,26 KING STREET,R6,R7-2, , ,C1-5, , , , , ,Y,C4,2,0, ,KING ENTERPRISES LTD,2598,11826,0,11826,0,0,0,0,0,0,2,1,6,24,24,25.92,100.25,26,88, ,3,N,5,2,215100,1638000,0,0,1920,1988,0,Charlton-King-Vandam Historic District, ,4.55,2.43,0,4.8,1,1005190026,0,37,983185,204325,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,259.7337601,2738.452217,1422900,9,0,4626,4626,13,2925,16.83888817,21.03000069,4.191112518,17.16128144,1.11680305,223.0966587 +4626,MN,467,22,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,226 EAST 12 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,226-230 EAST 12TH ST.,7029,56845,1000,55845,1000,0,0,0,0,0,2,1,10,83,84,66,106.5,66,93, ,3,N,5,2,940500,5335650,80289,80289,1928,1985,0, , ,8.09,4,0,4,1,1004670022,0,40,987871,205670,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,349.6539333,7182.534073,4395150,12,0,4627,4627,31,6975,28.52666664,31.78911018,3.262443542,28.81487459,0.824698947,893.2611122 +4627,MN,458,35,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,28 EAST 2 STREET,C6-2A,R8B, , , , , , , , ,Y,B1,1,0,P,"JOHNSTON, GARTH",1526,2916,0,2916,0,0,0,0,0,0,2,1,4,2,2,20.08,78,20.08,40,E,3,Y,5,2,26055,67098,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,1.91,6.02,6,6.5,1,1004580035,0,3602,986835,203515,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,197.9498267,1571.833123,41043,1,0,4628,4628,8,1800,37.60888672,39.29888916,1.690002441,38.19388771,0.757978204,305.5511017 +4628,MN,716,4,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,136 10 AVENUE,R8A, , , ,C2-5, , , , , ,N,S4,4,0, ,136-38 TENTH AVENUE,4467,21220,4200,17020,0,4200,0,0,0,0,2,1,5,4,5,44.67,100,45,93, ,3,N,5,5,160492,962223,0,0,1908,0,0, , ,4.75,6,0,6,1,1007160004,0,89,982626,210630,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,296.9415201,4664.231385,801731,7,1,4629,4629,20,4500,10.20100021,10.20100021,0,10.20100021,0,204.0200043 +4629,MN,614,22,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,20 BANK STREET,R6, , , , , , , , , ,N,C0,2,0, ,DORATO CHARLES,1469,3496,0,2546,0,0,0,0,0,0,2,1,2,3,3,19.58,75,19.58,42,E,3,N,5,1,45439,157593,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.38,2.43,0,4.8,1,1006140022,0,77,983600,207737,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,198.1249618,1582.308783,112154,8,0,4630,4630,7,1575,26.80333328,28.63555527,1.832221985,27.55484118,0.868859941,192.8838882 +4630,MN,627,22,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,55 HORATIO STREET,R6, , , , , , , , , ,N,A4,1,0, ,"MATHEWS, PHILIP",1000,2480,0,1860,0,0,0,0,0,0,2,1,3,1,1,20,50,20,31, ,3,N,5,1,37072,147916,0,0,1848,1985,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1006270022,0,79,982535,208475,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,141.8086848,1041.641612,110844,8,0,4631,4631,4,900,14.72666645,14.72666645,0,14.72666645,0,58.9066658 +4631,MN,826,13,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,43 WEST 24 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,JONATHAN P ROSEN,6182,63214,63214,0,54777,8437,0,0,0,0,2,1,12,0,17,62.5,98.75,63,90,E,3,Y,5,2,2533500,8569350,0,0,1912,0,0, , ,10.23,0,10,10,1,1008260013,0,58,986661,210111,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,324.930724,6210.46637,6035850,2,0,4632,4632,29,6525,33.45800018,34.31999969,0.861999512,33.4877243,0.157285265,971.1440048 +4632,MN,238,23,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,91 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,TREASURE LEE REALTYIN,3684,15500,2500,13000,0,2500,0,0,0,0,2,1,6,27,29,40.08,94,40,78, ,3,Y,5,2,249750,1054800,0,0,1910,1985,0, , ,4.21,6.02,6,6.5,1,1002380023,0,41,985323,201015,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,272.1918918,3836.472551,805050,0,0,4633,4633,17,3825,31.90200043,32.64022064,0.738220215,31.94542515,0.173698874,543.0722275 +4633,MN,476,7,102,47,2002,2,1,10013,L008,1,15,6800,1,2,1A,100 AVENUE OF THE AMER,M1-5B, , , , , , , , , ,N,O6,5,0,P,REMAINDERMAN 100 AOA,20035,303214,303214,0,293214,10000,0,0,0,0,2,1,16,0,16,86.75,157,87,157, ,2,Y,3,2,4590000,37413000,0,0,1930,2015,2016, , ,15.13,0,5,6.5,1,1004760007,0,47,983033,202794,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,590.1212688,20283.26613,32823000,0,1,4634,4634,91,20475,9.686666489,9.686666489,0,9.686666489,0,881.4866505 +4634,MN,491,46,102,37,3006,2,3,10013,L008,1,15,6800,1,2,1B,151 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,REMAINDERMAN 155 AOA,12588,182655,182655,0,170478,12177,0,0,0,0,2,1,15,0,21,100,125.58,98,122, ,2,Y,3,2,2830500,22034250,0,0,1928,2013,2015, , ,14.51,0,10,10,1,1004910046,0,37,982890,203546,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,461.2536715,13056.40567,19203800,0,0,4635,4635,58,13050,20.14500046,24.48777771,4.342777252,20.73450227,1.393021395,1202.601131 +4635,MN,922,24,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,273 1 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0,P,179 EAST BROADWAY REA,1600,4496,1760,2736,0,1760,0,0,0,0,2,1,4,3,4,20,80,20,62,E,3,N,5,5,242609,490344,0,0,1960,1960,0, , ,2.81,4,2,4,1,1009220024,0,48,989221,206162,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,215.6336362,1764.186172,247735,5,0,4636,4636,8,1800,19.57900047,19.57900047,0,19.57900047,0,156.6320038 +4636,MN,804,40,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,827 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,6-29 STREET REALTY LL,2562,8040,8040,0,2325,4165,0,1550,0,0,2,1,4,0,2,40,64.5,40,62,E,3,N,5,2,553500,1416150,0,0,1928,0,0, , ,3.14,10,10,10,1,1008040040,0,95,986897,211285,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,211.1002692,2620.724167,862650,6,0,4637,4637,12,2700,40.67900085,40.67900085,0,40.67900085,0,488.1480103 +4637,MN,517,41,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,179 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,179 PRINCE STREET ASS,2387,10395,865,9530,0,865,0,0,0,0,2,1,6,22,23,25,95.5,25,79, ,3,N,5,2,294300,1751400,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.35,3.44,0,6.5,1,1005170041,0,49,983730,203956,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,244.2363744,2391.549558,1457100,9,0,4638,4638,11,2475,17.9011116,17.9011116,0,17.9011116,0,196.9122276 +4638,MN,568,16,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,26 EAST 11 STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,26 EAST 11TH L P,2371,6075,0,6075,0,0,0,0,0,0,2,1,3,7,7,25,94.83,25,64, ,3,N,5,1,121746,456976,0,0,1900,0,0,Greenwich Village Historic District, ,2.56,3.44,0,6.5,1,1005680016,0,61,985913,206457,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,243.8107794,2480.781019,335230,8,0,4639,4639,12,2700,30.95599937,34.67666626,3.720666885,32.23892546,1.437323527,386.8671055 +4639,MN,883,76,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,128 EAST 28 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,CHARJAN 128 EAST 28 S,2275,6789,4070,2719,0,4070,0,0,0,0,2,1,4,3,5,23,98.75,23,97,E,3,N,5,2,270000,1153800,0,0,1910,1988,0, , ,2.98,6.02,6,6.5,1,1008830076,0,68,988962,209836,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,253.3599485,2428.000015,883800,11,0,4640,4640,10,2250,33.29444504,35.71333313,2.418888092,33.53633385,0.725666428,335.3633385 +4640,MN,850,22,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,27 EAST 21 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,27 EAST 21 STREET,2469,20358,20358,0,17958,2400,0,0,0,0,2,1,10,0,10,25,98.75,25,96, ,3,N,5,2,783000,1615050,0,0,1903,0,0,Ladies' Mile Historic District, ,8.25,0,5,6.5,1,1008500022,0,56,987401,208770,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,258.7021313,2650.398601,832050,7,0,4641,4641,13,2925,35.59999847,38.34444427,2.744445801,35.81110969,0.731310702,465.544426 +4641,MN,507,28,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,272 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0,P,"272 BOWERY, LLC",2260,6715,2206,4509,0,2206,0,0,0,0,2,1,4,3,4,25.25,89.5,25,90, ,3,N,5,2,211500,658350,0,0,1927,0,0, , ,2.97,3.44,6,6.5,1,1005070028,0,43,986145,202929,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,246.0368641,2504.526815,446850,9,0,4642,4642,10,2250,44.71333313,44.71333313,0,44.71333313,0,447.1333313 +4642,MN,415,23,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,143 ALLEN STREET,C4-4A, , , , , , , , , ,N,S1,4,0, ,143 ALLEN ST. LLC,1400,2880,600,2280,0,600,0,0,0,0,2,1,3,1,2,20,70,20,38, ,3,N,5,0,27366,68306,0,0,1920,0,0, ,143 ALLEN STREET HOUSE,2.06,4,4,4,1,1004150023,0,18,986983,201758,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,183.8233687,1443.357781,40940,13,0,4643,4643,6,1350,37.10666656,37.95666885,0.850002289,37.34870402,0.349686284,224.0922241 +4643,MN,474,14,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,53 MERCER STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,MERCER SUNSHINE LLC,2500,6851,6851,0,0,2407,0,4444,0,0,2,1,3,2,4,25,100,25,96.28, ,3,N,5,2,225000,484200,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,2.74,0,5,6.5,1,1004740014,0,47,983914,202286,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,257.1084224,2603.053056,259200,0,0,4644,4644,11,2475,14.17000008,14.17000008,0,14.17000008,0,155.8700008 +4644,MN,540,4,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,110 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,"521 ASSOCIATES, LLC",2500,12408,1270,11138,0,1270,0,0,0,0,2,2,6,22,24,25,100,25,100,E,3,N,5,2,294300,1475550,0,0,1900,1987,0,South Village Historic District, ,4.96,3.44,0,6.5,1,1005400004,0,65,984085,205054,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,256.9060802,2609.843367,1181250,9,0,4645,4645,12,2700,22.5755558,22.5755558,0,22.5755558,0,270.9066696 +4645,MN,615,51,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,31 BANK STREET,R6, , , , , , , , , ,N,C4,2,0, ,HOUSING DEVELOPMENTAS,2325,9490,0,9490,0,0,0,0,0,0,2,1,5,16,16,25,100,25,84, ,3,Y,5,2,270000,1593000,0,0,1910,0,0,Greenwich Village Historic District, ,4.08,2.43,0,4.8,1,1006150051,0,77,983387,207833,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,263.7535245,2666.480036,1323000,8,0,4646,4646,12,2700,23.05999947,25.87000084,2.810001373,23.29416625,0.776643351,279.529995 +4646,MN,640,21,102,79,2001,2,3,10014,L005,6,15,6100,1,2,3B,756 WASHINGTON STREET,C1-7A, , , , , , , , , ,N,D1,3,0,P,756 WAYWEST DEVELOPME,12377,76549,8800,67749,0,0,8800,0,0,0,2,1,11,67,67,160.75,88,88,70, ,0,Y,3,5,2250000,9925650,0,0,2003,0,0, , ,6.18,6.02,2,6.5,1,1006400021,0,79,981904,207871,12a, ,103 013,10210, ,1006400021,1/5/2004,1, ,1,17V1.1,0,508.6130715,12605.67913,7675650,8,1,4647,4647,54,12150,8.998999596,12.77222252,3.773222923,10.48251834,1.607690121,566.0559902 +4647,MN,354,37,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,120 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,K1,5,0,P,120 RIVINGTON ST CORP,1500,1500,1500,0,0,1500,0,0,0,0,2,1,1,0,1,20,75,20,73, ,3,N,5,2,119250,291600,0,0,1900,2011,0, , ,1,4,4,4,1,1003540037,0,3001,987799,201558,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,199.0099968,1590.271967,172350,13,0,4648,4648,7,1575,28.01666641,28.01666641,0,28.01666641,0,196.1166649 +4648,MN,237,7,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,142 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,K2,5,0,P,142 MULBERRY REALTYCO,5083,10144,10144,0,0,10144,0,0,0,0,2,1,2,0,2,49.75,102.17,50,98, 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,4.1,4,0,4,1,1004340010,0,32,988276,204009,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,229.8138789,2015.437631,1180880,12,0,4651,4651,9,2025,18.26222229,20.12299919,1.860776901,19.35523436,0.808210772,174.1971092 +4651,MN,293,20,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,3 ALLEN STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,JSM PROPERTIES INC,2013,7270,1500,5770,0,1500,0,0,0,0,2,1,5,10,11,22.75,88.5,23,76, ,2,Y,5,1,137250,309600,0,0,1910,0,0, , ,3.61,3.44,6,6.5,1,1002930020,0,16,986153,199655,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,225.1591387,1985.950223,172350,16,0,4652,4652,8,1800,38.23899841,42.4066658,4.167667389,38.96845675,1.30270293,311.747654 +4652,MN,885,15,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,119 EAST 29 STREET,C4-5A,C6-2A, , , , , , , , ,Y,H8,8,0,X,YESHIVA UNIVERSITY,9871,52604,0,0,0,0,0,0,0,0,2,1,8,0,1,50,98.75,50,97, ,2,Y,5,2,2250000,3801600,2250000,3801600,1930,1985,0, , ,5.33,4,4,4,1,1008850015,0,72,989175,210219,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,507.8196177,10053.44614,1551600,11,0,4653,4653,44,9900,32.84000015,32.84000015,0,32.84000015,0,1444.960007 +4653,MN,583,40,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,51 LEROY STREET,C2-6, , , , , , , , , ,N,C4,2,0, ,MAJOR LEROY CORP,4239,16595,0,16595,0,0,0,0,0,0,2,2,5,40,40,50,85.17,25,68, ,3,Y,5,2,338850,2064150,0,0,1900,0,0,Greenwich Village Historic District, ,3.91,3.44,2,6.5,1,1005830040,0,67,982853,205380,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,274.82305,4242.427033,1725300,9,0,4654,4654,20,4500,15.38333321,17.31444359,1.931110382,15.77501097,0.697539159,315.5002193 +4654,MN,288,43,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,511 GRAND STREET,R7-2, , , , , , , , , ,N,S1,4,0, ,"ESSENHIGH, INKA",933,1836,730,1106,0,730,0,0,0,0,2,1,2.5,1,2,29.5,63.67,29.5,25, ,0,Y,5,2,69598,114000,0,0,1915,2012,0, ,511 GRAND STREET HOUSE,1.97,3.44,0,6.5,1,1002880043,0,202,989201,199570,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,157.1511172,879.7192085,44402,13,0,4655,4655,5,1125,29.70800018,30.63577843,0.927778244,29.89355583,0.371111298,149.4677792 +4655,MN,896,6,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,203 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,"BDS ASSOCIATES, LLC",1962,7670,1470,6200,0,1470,0,0,0,0,2,1,5,8,9,19,103.25,19,90, ,2,N,5,2,54156,357012,0,0,1910,0,0, , ,3.91,4,2,4,1,1008960006,0,48,987989,206445,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,251.5990451,2029.182608,302856,12,0,4656,4656,10,2250,26.69333267,35.79111099,9.09777832,30.61382236,2.282297001,306.1382236 +4656,MN,420,40,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,40 DELANCEY STREET,C6-2A,C4-4A, , , , , , , , ,Y,O5,5,0,P,YANG TZE RIVER REALTY,17612,62100,62100,0,0,15147,15677,0,0,31276,2,1,3,0,4,125.83,150.17,125,150, ,3,Y,3,2,3531600,6957000,0,0,2005,0,0, , ,3.53,6.02,6,6.5,1,1004200040,0,18,0,0,12c, , , , ,1004200040,5/3/2011,1, , 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,17V1.1,0,245.4623949,2490.029595,86895,8,0,4659,4659,11,2475,25.34199905,27.89666557,2.554666519,26.08238307,1.025816915,286.9062138 +4659,MN,413,7502,103,18,6000,2,1,10002,L006,5,14,7400,2,3, ,77 ALLEN STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2073,7930,4738,3192,3368,1370,0,0,0,0,2,2,9,9,16,22.79,88.2,22.58,88.25, ,0,N,0,5,202052,1313998,0,0,1920,0,0, , ,3.83,4,4,4,1,1004137502,908,18,986610,200831,12c, ,101N078,10204, ,1004130020,9/29/1995,1, , ,17V1.1,7,233.9308981,2151.176581,1111950,13,0,4660,4660,10,2250,39.72000122,39.72000122,0,39.72000122,0,397.2000122 +4660,MN,208,19,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1A,239 CANAL STREET,M1-5B, , , , , , , , , ,N,O5,5,1,P,"CENTRE PLAZA, L.L.C.",13388,42544,42544,0,30144,12400,0,0,0,0,2,1,6,0,1,37.92,299,38,299, ,2,Y,3,0,472500,6584400,0,0,1915,1982,0, , ,3.18,0,5,6.5,1,1002080019,0,45,984321,201083,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,768.3052602,14311.73004,6111900,0,0,4661,4661,62,13950,14.81400013,17.55666733,2.742667198,14.89822594,0.461929472,923.6900082 +4661,MN,768,31,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,207 WEST 18 STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,HIRSON KATE,2300,4000,1975,2025,0,1975,0,0,0,0,2,1,3,1,2,25,92,25,92,E,0,N,5,5,80623,158674,1550,1550,1880,0,0, , ,1.74,6.02,6,6.5,1,1007680031,0,87,984736,209408,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,231.42997,2156.241336,78051,7,0,4662,4662,9,2025,21.88888931,21.88888931,0,21.88888931,0,197.0000038 +4662,MN,801,60,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,132 WEST 26 STREET,M1-6, , , , , , , , , ,N,D7,4,0, ,132W26 OWNER LLC,1852,18093,3415,14678,0,3415,0,0,0,0,2,1,12,10,11,18.75,98.75,18.75,98, ,3,N,5,0,172350,488520,0,0,2015,0,0, , ,9.77,0,10,10,1,1008010060,0,91,986209,210771,8d, ,105S012,10305, ,0, ,1, , 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+4667,MN,579,1,102,37,3007,2,3,10013,L008,1,15,6800,1,2,1B,282 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,S3,4,0, ,KH 282 HUDSON LLC,1110,4440,1200,3240,0,1200,0,0,0,0,2,1,4,3,4,20,55.5,20,54, ,2,N,3,5,249334,338839,0,0,1900,0,0, , ,4,0,10,10,1,1005790001,0,37,982199,203514,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,160.9079916,1283.957578,89505,0,0,4668,4668,6,1350,14.06700039,14.08277798,0.015777588,14.06962999,0.00587996,84.41777992 +4668,MN,625,40,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,19 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,STOLIAR REAL ESTATE C,860,2560,1280,1280,0,640,0,0,0,640,2,1,3,1,2,20,46.33,20,32, ,3,Y,5,5,31490,88621,0,0,1845,0,0,Greenwich Village Historic District, ,2.98,3.44,2,6.5,1,1006250040,0,77,982928,208096,8b,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,129.8794117,854.7616286,57131,8,0,4669,4669,5,1125,17.76333427,17.76333427,0,17.76333427,0,88.81667137 +4669,MN,434,37,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,441 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,P V P MANAGEMENT CORP,2271,6360,1000,5360,0,1000,0,0,0,0,2,1,5,8,9,25,90.83,25,48, ,3,N,5,2,27093,101311,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.8,4,0,4,1,1004340037,0,32,988598,203723,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,238.5004633,2303.759453,74218,1,0,4670,4670,10,2250,18.26222229,19.5466671,1.284444809,18.71066685,0.555841621,187.1066685 +4670,MN,449,50,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,63 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"ANC, ZENOBIA",2438,11016,1000,10016,0,1000,0,0,0,0,2,1,6,24,26,25,97.5,25,84, ,3,N,5,1,209250,1540800,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.52,4,0,4,1,1004490050,0,38,987897,204392,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.3818897,2504.763366,1331550,12,0,4671,4671,11,2475,25.48777771,28.98666573,3.498888016,26.25309077,1.311997997,288.7839985 +4671,MN,906,11,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,219 EAST 25 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,"219 EAST 25 REALTY,",4938,22430,0,22430,0,0,0,0,0,0,2,1,7,35,35,50,98.75,50,65,E,3,N,5,2,432900,2908800,0,0,1920,1984,0, , ,4.54,4,0,4,1,1009060011,0,66,989488,208839,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,302.9510177,5066.754725,2475900,11,0,4672,4672,22,4950,29.90777779,35.34777832,5.440000534,31.32253569,1.685614389,689.0957851 +4672,MN,583,1,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,420 HUDSON STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,"ROSZAK, SARA JANE",1373,5488,2744,2744,1372,1372,0,0,0,0,2,1,4,2,4,23.08,59.5,23.08,59.5, ,3,N,3,5,104291,261666,0,0,1910,2012,0,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1005830001,0,67,982426,205350,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,175.0897708,1562.398163,157375,9,0,4673,4673,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +4673,MN,205,34,102,41,4002,2,1,10013,L006,5,15,6800,1,2, ,195 CANAL STREET,C6-2G, , , , , ,LI, , , ,N,K2,5,0, ,YAN KAN WONG REALTY C,2531,4764,4764,0,2382,2382,0,0,0,0,2,1,2,0,3,50.25,50.42,50,50, ,3,N,5,2,274050,724950,0,0,1915,0,0, , ,1.88,6.02,6,6.5,1,1002050034,0,41,984763,200561,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,198.3238626,2457.879935,450900,14,0,4674,4674,11,2475,31.4109993,31.4109993,0,31.4109993,0,345.5209923 +4674,MN,836,10,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,31 WEST 34 STREET,C6-4.5,C5-3, , , , ,MID, , , ,Y,O6,5,0,P,31 WEST 34TH STREET,27950,275609,275609,0,225609,50000,0,0,0,0,2,3,11,0,12,121,197.5,121,194, ,3,Y,4,2,16425000,47006100,0,0,1912,0,0, , ,9.86,10,12,12,1,1008360010,0,76,987998,212413,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,750.7488441,30031.66766,30581100,10,0,4675,4675,128,28800,49,52.96444321,3.964443207,49.64979669,0.315189882,6355.173977 +4675,MN,501,1,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,413 WEST BROADWAY,M1-5A, , , , , , , , , ,N,O5,5,0, ,ASB CENTURION 415 WES,5100,28964,28964,0,19376,9588,0,0,0,0,2,1,6,2,10,51,100,51,94, ,3,N,5,2,1215000,6205500,0,0,1900,1985,0,SoHo-Cast Iron Historic District, ,5.68,0,5,6.5,1,1005010001,0,49,983870,203331,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,307.889966,5261.805215,4990500,0,0,4676,4676,24,5400,15.00755596,17.52111053,2.513554573,15.1122874,0.502274344,362.6948977 +4676,MN,10,1,101,9,1009,2,1,10004,L015,1,15,7700,1,1, ,100 BROAD STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,FRANKLIN BH LLC,8671,26013,26013,0,8671,17342,0,0,0,0,2,1,2,0,1,22.08,191.75,22,191, ,2,Y,3,2,607500,4093380,0,0,1963,2015,0, , ,3,10,15,15,1,1000100001,0,9,980884,195568,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,495.3302644,9797.736756,3485880,17,1,4677,4677,39,8775,6.517333508,8.899999619,2.382666111,8.655330108,0.402889603,337.5578742 +4677,MN,194,5,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,52 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,52 WALKER CORP,5529,24995,24995,0,20965,4030,0,0,0,0,2,1,5,0,6,55.5,100.58,56,96,E,3,Y,5,2,273600,1826100,0,0,1915,2003,0,Tribeca East Historic District, ,4.52,6.02,6,6.5,1,1001940005,0,33,983352,201295,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,318.1969565,5777.114193,1552500,14,0,4678,4678,24,5400,12.8255558,12.8255558,0,12.8255558,0,307.8133392 +4678,MN,404,9,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,510 EAST 11 STREET,R8B, , , , , , , , , ,N,S4,4,0,P,510 EAST 11TH STREET,1576,5301,1500,3801,0,1500,0,0,0,0,2,1,5,4,5,21,75,21,46.5,E,3,N,5,2,66973,146524,0,0,1900,2013,2012, , ,3.36,4,0,4,1,1004040009,0,34,989439,204513,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,199.1808678,1672.743692,79551,12,0,4679,4679,6,1350,12.53199959,16.64222336,4.11022377,13.21703688,1.531789959,79.3022213 +4679,MN,595,39,101,39,1003,2,1,10013,L008,1,15,7700,1,1, ,504 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,S1,4,0,P,DESBROSSES GARAGE COR,1011,2821,985,1836,0,985,0,0,0,0,2,1,3.75,1,2,18,67,18,36, ,2,Y,5,2,42192,125981,0,0,1899,2013,0, ,504 CANAL STREET HOUSE,2.79,6.02,6,6.5,1,1005950039,0,39,981586,203274,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,171.7788249,1028.407396,83789,0,1,4680,4680,3,675,7.909999847,8.014444351,0.104444504,7.944814682,0.049235611,23.83444405 +4680,MN,543,62,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,123 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,WASHINGTON SQUARE REA,2300,8454,3208,5246,2008,1200,0,0,0,0,2,1,5,20,23,23,100,23,60, ,3,N,5,2,360000,1213200,0,0,1900,0,0,South Village Historic District, ,3.68,3.44,0,6.5,1,1005430062,0,65,984152,205523,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,248.0118244,2250.37326,853200,9,0,4681,4681,10,2250,18.49900055,18.49900055,0,18.49900055,0,184.9900055 +4681,MN,484,1,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,84 MERCER STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,515 BROADWAY CORP,23200,125590,23200,102390,0,23200,0,0,0,0,2,1,6,19,26,140,200,70,200, ,0,Y,4,2,864000,15470550,14570,14570,1880,2004,1985,SoHo-Cast Iron Historic District, ,5.41,0,5,6.5,1,1004840001,0,49,984367,202633,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,699.9072177,24236.46867,14606600,0,0,4682,4682,108,24300,22.21222115,28.71133423,6.499113083,22.31976643,0.7327529,2410.534775 +4682,MN,416,23,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,165 ALLEN STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,METRO SVGS BK,1984,4067,4067,0,0,4067,0,0,0,0,2,1,2,0,1,24.5,88,25,78, ,3,Y,5,2,127800,473850,0,0,1920,0,0, , ,2.05,4,4,4,1,1004160023,0,3601,987090,202056,12c, ,102 002,10204,E-216,0, ,1, , ,17V1.1,0,232.5558614,2287.542458,346050,13,0,4683,4683,11,2475,35.94111252,37.84077835,1.899665833,36.11380941,0.546115529,397.2519035 +4683,MN,539,42,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,169 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,"BLEECKER VILLAGE, LLC",2500,12500,1500,11000,0,1500,0,0,0,0,2,1,5,20,21,25,100,25,100, ,3,N,3,2,400050,2984850,0,0,1910,1986,0,South Village Historic District, ,5,3.44,0,6.5,1,1005390042,0,65,984203,204842,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,260.0553881,2742.906829,2584800,9,0,4684,4684,14,3150,25.23555565,26.68666649,1.45111084,25.33920642,0.373718181,354.7488899 +4684,MN,742,71,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,362 WEST 19 STREET,C2-6A, , , , , , , , , ,N,A4,1,0, ,362 WEST 19TH STREET,1393,2100,0,2100,0,0,0,0,0,0,2,1,3,1,1,20,69.67,20,38, ,3,N,5,2,32177,105503,0,0,1930,0,0, , ,1.51,4,2,4,1,1007420071,0,89,983459,210234,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,180.116247,1411.615416,73326,7,0,4685,4685,7,1575,15.59444427,17.46222115,1.867776871,16.00666646,0.690235303,112.0466652 +4685,MN,574,17,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,54 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,EUGENE V WOLSK,2085,4168,0,3008,0,0,0,0,0,0,2,1,3,3,3,22,94.75,22,42, ,2,N,5,1,75821,246176,1550,1550,1899,0,0,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1005740017,0,63,985018,206953,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,238.0504959,2144.67569,170355,8,0,4686,4686,8,1800,23.68066597,25.18333435,1.502668381,24.20798588,0.41203977,193.663887 +4686,MN,606,9,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2B,30 GREENWICH AVENUE,C1-6,R6, , , , , , , , ,Y,D8,3,0, ,14 L. PIERRE ASSOCIAT,9727,37736,3200,34536,0,3200,0,0,0,0,2,3,6,49,54,50.58,211.67,25,169, ,3,Y,5,2,936000,4976550,0,0,1920,1984,0,Greenwich Village Historic District, ,3.88,3.44,2,6.5,1,1006060009,0,71,984320,207118,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,498.4034217,9774.485337,4040550,8,0,4687,4687,44,9900,19.72333336,23.13444519,3.411111832,20.22456074,0.90125544,889.8806725 +4687,MN,643,63,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,67 HORATIO STREET,R6, , , , , , , , , ,N,A4,1,0, ,"AMAMPURI PROPERTIES,",1949,4600,0,3450,0,0,0,0,0,0,2,1,3,1,1,23,84.75,23,50,E,3,N,5,1,23179,176014,0,0,1899,0,0,Greenwich Village Historic District, ,2.36,2.43,0,4.8,1,1006430063,0,79,982327,208492,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,218.3445556,2006.168945,152835,8,1,4688,4688,6,1350,11.21500015,12.18777752,0.972777367,11.44185193,0.36247487,68.6511116 +4688,MN,746,60,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,334 WEST 23 STREET,C1-6A, , , , , , , , , ,N,M9,8,0,X,LEO HOUSE FOR GERMAN,4950,32000,32000,0,0,0,0,0,0,32000,2,1,0,0,1,0,0,0,0, ,3,N,0,0,783000,2356200,783000,2356200,1926,1985,0, , ,6.46,4,2,4,1,1007460060,0,93,984273,210917,8d, ,105S007,10303, ,1007460058,8/21/2001,1, , ,17V1.1,0,307.1572093,5048.028222,1573200,2,0,4689,4689,22,4950,15.97222233,18.89333344,2.921111107,16.21839402,0.781113367,356.8046684 +4689,MN,193,23,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,295 CHURCH STREET,C6-2A, , , , , , , , , ,N,S4,4,0,P,CAROL L WOLCHOK,1122,5610,1122,4488,0,1122,0,0,0,0,2,1,5,4,5,21.58,51.08,22,48, ,3,Y,5,5,216038,306093,0,0,1910,2006,0,Tribeca East Historic District, ,5,6.02,6,6.5,1,1001930023,0,33,983045,201274,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,150.568964,1168.628267,90055,14,0,4690,4690,4,900,13.68111134,13.68111134,0,13.68111134,0,54.72444534 +4690,MN,577,12,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,56 WEST 14 STREET,C6-2M, , , , , , , , , ,N,L8,6,0, ,"BABSOL REALTY, LLC C/",2581,22819,22819,0,0,2325,0,0,0,20494,2,1,9,0,2,25,103.25,25,103, ,3,N,5,2,355500,3092850,0,0,1900,0,0, ,"R.H. MACY & CO. STORE, 14TH STREET",8.84,6.02,6,6.5,1,1005770012,0,63,985263,207726,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,269.8886244,2708.490367,2737350,8,0,4691,4691,12,2700,29.39444351,30.09499931,0.700555801,30.02009185,0.196379982,360.2411022 +4691,MN,802,17,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,141 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,FUMOHA DEVELOPMENT CO,4938,20000,5000,15000,0,5000,0,0,0,0,2,2,6,5,6,50,98.75,50,99, ,3,N,5,2,135991,836605,2360,2360,1910,2009,2005, , ,4.05,0,10,10,1,1008020017,0,95,986226,210939,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,301.6261458,5007.094731,700614,2,0,4692,4692,23,5175,32.50999832,37.54111099,5.031112671,32.84584394,1.141546125,755.4544106 +4692,MN,913,44,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,238 EAST 33 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,KC3 - 234-238 EAST 33,7406,28935,0,28935,0,0,0,0,0,0,2,3,5,58,58,75,98.75,25,88, ,0,N,5,2,472500,3478050,0,0,1880,1988,0, , ,3.91,4,0,4,1,1009130044,0,70,990524,210439,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,362.7059724,7976.43887,3005550,10,0,4693,4693,36,8100,19.78333282,22.70000076,2.916667938,20.09501812,0.80389879,723.4206524 +4693,MN,134,7,101,21,1004,2,1,10007,L010,1,15,7700,1,1,1A,21 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,O5,5,0, ,DOUBLE G (1999) LIMIT,2575,11500,11500,0,9200,2300,0,0,0,0,2,1,5,0,5,25.62,100.21,26,100, ,3,N,5,2,157950,1062000,0,0,1890,0,0, , ,4.47,7.52,6,7.5,1,1001340007,0,21,981978,199318,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,265.1067076,2882.459727,904050,3,0,4694,4694,13,2925,30.50333214,30.50333214,0,30.50333214,0,396.5433178 +4694,MN,909,49,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,210 EAST 29 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,TRILOBITE 29 LLC,2469,10227,0,10227,0,0,0,0,0,0,2,1,7,24,24,25,98.75,25,82, ,3,N,5,1,394650,1826550,0,0,1900,1983,0, , ,4.14,4,0,4,1,1009090049,0,66,989856,209634,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,251.7735701,2460.802263,1431900,11,0,4695,4695,12,2700,35.64599991,40.16444397,4.518444061,36.29749997,1.477892174,435.5699997 +4695,MN,232,7501,102,45,1007,2,1,10013,E055,5,15,6800,1,2, ,129 GRAND STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,THE GRAND CROSBY LLC,4004,15802,2906,12896,0,2906,0,0,0,0,2,1,5,4,5,0.09,0,0,0, ,0,N,0,5,164040,2087720,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,3.95,0,5,6.5,1,1002327501,1090,45,984205,201714,12c, ,101N047,10105, ,1002320015,12/20/1999,1, , ,17V1.1,7,268.6440555,4303.453097,1923680,0,0,4696,4696,18,4050,14.35888863,17.90888786,3.549999237,14.55611081,0.813167879,262.0099945 +4696,MN,465,17,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,120 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,CANDIDE PROPERTIES LL,980,3200,0,3200,0,0,0,0,0,0,2,1,5,6,6,18,50.5,18,36, ,3,Y,5,5,40079,160083,0,0,1920,0,0,St. Mark's Historic District, ,3.27,4,0,4,1,1004650017,0,40,987525,205303,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,138.9335036,969.6163982,120004,12,0,4697,4697,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +4697,MN,528,15,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,220 WEST HOUSTON STREET,R6, , , , , , , , , ,N,K4,4,0, ,220 WEST HOUSTON STRE,1700,4944,4944,0,3294,1650,0,0,0,0,2,1,3,0,3,25,71.08,25,69, ,3,Y,5,2,191250,594000,0,0,1900,0,0, , ,2.91,2.43,0,4.8,1,1005280015,0,67,982981,204767,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,193.1184897,1835.071305,402750,9,0,4698,4698,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +4698,MN,769,65,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,250 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,20 WEST LLC,2100,8195,0,8195,0,0,0,0,0,0,2,1,5,15,15,25,82,25,72, ,3,Y,5,2,81000,993600,0,0,1901,1979,0, , ,3.9,4,0,4,1,1007690065,0,87,984423,209974,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,222.6187682,2113.226038,912600,7,0,4699,4699,9,2025,21.88888931,23.68333435,1.794445038,22.08827209,0.563939669,198.7944489 +4699,MN,514,10,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,152 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,152 WOOSTER ST CORP,7500,40500,3375,37125,0,3375,0,0,0,0,2,1,6,13,15,75,100,75,90, ,3,N,5,2,347850,3366000,41640,41640,1909,0,0,SoHo-Cast Iron Historic District, ,5.4,0,5,6.5,1,1005140010,0,49,984477,203813,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,357.1137305,7796.385335,3018150,9,0,4700,4700,36,8100,22.59666634,26.13555527,3.538888931,22.78790092,0.788809537,820.3644333 +4700,MN,542,53,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,95 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,95 MACDOUGAL STREET L,1919,7815,1302,6513,0,1302,0,0,0,0,2,1,5,8,10,25.58,75,26,56, ,3,N,5,2,112946,338839,0,0,1900,0,0,South Village Historic District, ,4.07,3.44,0,6.5,1,1005420053,0,65,983930,205062,12a,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,210.1228784,2134.75531,225893,9,0,4701,4701,9,2025,18.38111115,18.38111115,0,18.38111115,0,165.4300003 +4701,MN,444,42,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,33 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,K2,5,0,P,R.M.H. ESTATES,2900,4000,4000,0,1440,2560,0,0,0,0,2,1,2,0,3,40,72.5,40,72,E,2,N,3,2,180000,508050,0,0,1920,1989,1992, , ,1.38,4,0,4,1,1004440042,0,3602,987531,203107,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,235.358102,3189.425764,328050,1,0,4702,4702,14,3150,30.95777702,32.36666489,1.408887863,31.12714209,0.423358583,435.7799892 +4702,MN,593,24,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,391 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K1,5,0,P,SIXTH AVENUE OWNER LL,3085,3085,3085,0,0,3085,0,0,0,0,2,1,1,0,1,42,80,42,80, ,3,Y,5,2,697500,1082250,0,0,1920,0,0,Greenwich Village Historic District, ,1,3.44,3.4,6.5,1,1005930024,0,71,984213,206452,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,257.2094493,3560.609536,384750,8,0,4703,4703,16,3600,17.50333405,17.5055542,0.002220154,17.50347281,0.000537414,280.0555649 +4703,MN,768,11,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,249 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,249 WEST 18TH STREET,2348,5150,2080,3070,0,2080,0,0,0,0,2,1,3,6,8,26,90.33,26,80,E,3,Y,5,2,80139,369584,0,0,1920,0,0, , ,2.19,6.02,6,6.5,1,1007680011,0,87,984301,209648,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,234.6753894,2449.92167,289445,7,0,4704,4704,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +4704,MN,206,21,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,117 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,"MULBERRY I, LLC",2513,13839,2500,11339,0,2500,0,0,0,0,2,1,7,24,26,25,100.5,25,87, ,3,N,5,2,124200,758700,0,0,1910,0,0, , ,5.51,6.02,6,6.5,1,1002060021,0,41,984675,200781,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,252.1255475,2437.61591,634500,0,0,4705,4705,11,2475,25.95999908,34.6388855,8.678886414,31.12676707,3.75385573,342.3944378 +4705,MN,896,14,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,229 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,227-229 E 14TH ST HDF,2943,11935,1500,10435,0,1500,0,0,0,0,2,1,5,9,11,28.5,103.25,29,90, ,3,N,5,2,77850,1025100,77850,757467,1900,0,0, , ,4.06,4,2,4,1,1008960014,0,48,988186,206336,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,270.674944,3047.817024,947250,12,0,4706,4706,13,2925,29.86800003,31.20555496,1.337554932,30.02762398,0.392409249,390.3591118 +4706,MN,924,21,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,333 EAST 18 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,WRAY-CERASOLI ASSOCIA,1840,4000,0,3000,0,0,0,0,0,0,2,1,3,1,1,20,92,20,50,E,3,N,5,1,63128,165888,0,0,1901,0,0, , ,2.17,3,0,3,1,1009240021,0,48,989339,206857,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.2289418,1848.624811,102760,5,0,4707,4707,8,1800,14.83555603,16.19000053,1.354444504,15.43208361,0.613186807,123.4566689 +4707,MN,173,7504,101,33,1006,2,1,10013,L001,1,15,7700,3,1, ,93 WORTH STREET,C6-2A,C6-4A, , , , , , , , ,Y,RM,4,0, , ,12422,132235,11756,120479,0,0,0,0,0,11756,2,1,17,91,97,55.5,202.83,56,203, ,0,Y,0,5,2178004,18346054,11800,11800,1924,0,0, , ,10.65,6.02,6,6.5,1,1001737504,2428,33,982907,200356,12a, ,11S 033,10105, ,1001730033,11/1/2013,1, , ,17V1.1,7,626.6254365,13819.45975,16168100,14,0,4708,4708,61,13725,21.61333275,37.06000137,15.44666862,21.96210145,2.084870285,1339.688189 +4708,MN,769,7501,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,239 WEST 19 STREET,C6-2A, , , , , , , , , ,N,R6,2,0,P,OWNER / AGENT,930,2455,0,2455,0,0,0,0,0,0,2,1,3,3,3,15,62,0,0, ,0,N,5,5,12026,250502,0,0,1885,1973,0, , ,2.64,6.02,6,6.5,1,1007697501,255,87,984554,209770,8d, ,103 034,10304, ,1007690017,12/9/1985,1, , ,17V1.1,7,155.2364881,949.387824,238476,7,0,4709,4709,4,900,21.88888931,21.88888931,0,21.88888931,0,87.55555725 +4709,MN,630,7,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,661 WASHINGTON STREET,R6, , , , , , , , , ,N,C4,2,0, ,661 WASHINGTON ST COR,2225,10230,0,10230,0,0,0,0,0,0,2,1,5,15,15,24,98,24,84, ,3,Y,5,2,216900,1332000,0,0,1910,0,0,Greenwich Village Historic District Exte, ,4.6,2.43,0,4.8,1,1006300007,0,75,981957,206401,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,260.3994917,2644.041888,1115100,9,0,4710,4710,11,2475,15.90333366,15.90333366,0,15.90333366,0,174.9366703 +4710,MN,831,55,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,28 WEST 30 STREET,M1-6, , , , , , , , , ,N,K4,4,0,P,"FANTASIA WORLD, .",2475,11280,11280,0,4336,5264,0,1680,0,0,2,1,4,0,4,25,98.75,25,96, ,3,N,5,2,387000,1351800,0,0,1915,0,0, , ,4.56,0,10,10,1,1008310055,0,76,987599,211179,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,245.2637513,2355.325636,964800,10,0,4711,4711,11,2475,41.02666855,41.02666855,0,41.02666855,0,451.293354 +4711,MN,691,1,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,112 11 AVENUE,C6-3,C6-2, , , , ,WCH, , , ,Y,Y3,8,0,P,NYS URBAN DEVELOPMENT,15800,95837,95837,0,0,0,0,0,0,95837,2,1,8,0,2,98.58,189.5,98.58,189.5, ,2,Y,3,2,2079000,4442850,2079000,4442850,1931,1988,0, , ,6.07,7.52,6,10,1,1006910001,0,99,982164,211217,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,550.6733281,16771.59415,2363850,7,1,4712,4712,75,16875,6.974444389,7.989999771,1.015555382,7.034875507,0.209596495,527.6156631 +4712,MN,189,41,101,33,3016,2,1,10013,E007,1,15,7700,1,1,3A,228 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,S5,4,0, ,MANHATTAN REALTY COMP,2530,14892,2300,12592,0,2300,0,0,0,0,2,1,6,5,6,25,60.25,25,60, ,0,Y,5,5,287679,686609,0,0,1915,0,0,Tribeca West Historic District, ,5.89,6.02,6,6.5,1,1001890041,0,33,982456,201436,12a, ,101S035,10105, ,0, ,1, ,1,17V1.1,0,264.3520568,2637.688112,398930,14,1,4713,4713,11,2475,10.09599972,10.76333332,0.667333603,10.22921189,0.228192214,112.5213308 +4713,MN,799,12,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,155 WEST 23 STREET,C6-3X, , , , , , , , , ,N,L8,6,0,P,155 WEST 23RD STREET,5925,68940,68940,0,0,4000,0,64940,0,0,2,1,12,0,6,60,98.75,54,86, ,3,N,5,2,751500,4305150,0,0,1910,1911,0, , ,11.64,9,6,9,1,1007990012,0,91,985748,210321,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,328.3653186,6257.776075,3553650,2,0,4714,4714,28,6300,29.26199913,29.26199913,0,29.26199913,0,819.3359756 +4714,MN,485,14,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,122 SPRING STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,122 SPRING GREEN INC,3270,20150,4650,15500,0,4650,0,0,0,0,2,1,6,10,11,51.5,63.5,62,50, ,2,N,3,2,220950,2510100,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,6.16,0,5,6.5,1,1004850014,0,49,984167,202904,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,241.0182039,3592.61666,2289150,0,0,4715,4715,16,3600,17.71444511,24.85777664,7.143331528,19.44805598,2.867727341,311.1688957 +4715,MN,134,11,101,21,1004,2,1,10007,L010,1,15,7700,1,1, ,33 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,D6,4,0,P,FELDMAN HERITAGE LLC,4503,30999,4450,26549,0,4450,0,0,0,0,2,1,6,15,20,25.25,176.25,25,176, ,2,Y,3,2,540000,3628350,0,0,1930,2002,0, , ,6.88,7.52,6,7.5,1,1001340011,0,21,981910,199405,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,422.1919418,5059.41687,3088350,3,0,4716,4716,21,4725,30.50333214,31.96222115,1.458889008,30.57280304,0.310683333,642.0288639 +4716,MN,720,7,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,481 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,A4,1,0, ,"MEHAS, JOHN",1547,3666,0,3666,0,0,0,0,0,0,2,1,5,1,1,15.67,98.75,16,60, ,3,N,5,2,25454,138139,0,0,1900,2008,2008,Chelsea Historic District Extension, ,2.37,3,0,3,1,1007200007,0,93,983133,211435,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,222.7165258,1612.886852,112685,2,1,4717,4717,7,1575,9.369999886,9.369999886,0,9.369999886,0,65.5899992 +4717,MN,582,50,102,67,4005,2,3,10014,E024,6,15,6400,1,2,1B,2 7 AVENUE,C2-6,R6, , , , , , , , ,Y,P6,9,0,C,PARKS AND RECREATION,11385,27440,27440,0,0,0,27440,0,0,0,2,2,4,0,1,98.75,72.08,98.75,72.08, ,0,Y,5,5,1413000,2670750,1413000,2670750,1915,0,0,Greenwich Village Historic District Exte, ,2.41,3.44,2,6.5,1,1005820050,0,67,982742,205099,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,476.3506886,9428.269496,1257750,9,0,4718,4718,42,9450,15.38333321,15.87222195,0.488888741,15.39497341,0.074533699,646.5888834 +4718,MN,574,32,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,24 WEST 11 STREET,R6, , , , , , , , , ,N,A5,1,0, ,LLC 24W11,2018,4278,0,4278,0,0,0,0,0,0,2,1,3,1,1,21.33,94.75,21,60, ,3,N,5,2,160892,559109,0,0,1920,2007,0,Greenwich Village Historic District, ,2.12,2.43,0,4.8,1,1005740032,0,63,985305,206793,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.0846885,2097.884298,398217,8,0,4719,4719,9,2025,24.13299942,28.81777763,4.684778214,25.23317252,1.51191125,227.0985527 +4719,MN,740,50,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,334 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,328 W17TH ST OWNERS I,2300,8525,0,8525,0,0,0,0,0,0,2,1,5,15,15,25,92,25,78, ,3,N,5,2,98100,934650,7780,7780,1900,1987,0, , ,3.71,4,0,4,1,1007400050,0,83,983496,209644,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,244.6047173,2482.967207,836550,7,0,4720,4720,12,2700,15.59444427,18.31333351,2.718889236,15.82101838,0.751461287,189.8522205 +4720,MN,746,7507,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,350 WEST 23 STREET,C1-6A, , , , , , , , , ,N,R4,3,0, , ,4938,26815,0,26815,0,0,0,0,0,0,2,1,8,14,14,50,98.75,50,77, ,0,N,5,5,1350000,4728601,0,1607393,1910,2007,0, , ,5.43,4,2,4,1,1007467507,2146,93,984075,211027,8d, ,105S007,10303, ,1007460069,3/8/2010,1, , ,17V1.1,7,310.6853773,5234.807979,3378600,2,0,4721,4721,24,5400,15.97222233,17.77222252,1.800000191,17.05645816,0.421041988,409.3549957 +4721,MN,36,18,101,7,1029,2,1,10005,L015,1,15,7700,1,1,1B,1 PIER 11,C4-6, , , , , ,LM, , , ,N,T2,7,0,C,NYC DSBS,199625,199625,199625,0,0,0,0,0,0,199625,2,1,1,0,1,328.42,547.17,14,34, ,1,N,9,0,5419350,6504300,5419350,6504300,1900,1989,0, , ,1,10,3.4,10,1,1000360018,0,7,982604,195397,12b, ,101S101,10101, ,0, ,1,1,1,17V1.1,0,3525.59124,64042.9016,1084950,17,1,4722,4722,152,34200,0,32.25444412,32.25444412,2.913684202,5.989189071,442.8799987 +4722,MN,391,19,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,624 EAST 9 STREET,R8B, , , , , , , , , ,N,S3,4,0, ,624 EAST 9TH STREET L,1520,3360,600,2760,0,600,0,0,0,0,2,1,4,3,4,20,76,20,41, ,3,N,5,5,4116,28135,0,0,1910,0,0, , ,2.21,4,0,4,1,1003910019,0,2602,989977,203650,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,199.4039542,1611.760307,24019,12,1,4723,4723,6,1350,8.318888664,9.784444809,1.465556145,8.98333327,0.66847951,53.89999962 +4723,MN,471,33,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,172 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"172 MULBERRY REALTY,",2485,13552,775,12777,0,775,0,0,0,0,2,1,7,26,28,26.08,100.33,26,90, ,3,Y,5,2,144000,1490400,0,0,1900,2013,0, , ,5.45,6.02,6,6.5,1,1004710033,0,41,985134,201553,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,253.5240029,2420.773619,1346400,0,0,4724,4724,10,2250,29.42099953,29.42099953,0,29.42099953,0,294.2099953 +4724,MN,474,22,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,100 GRAND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,"ONE-HUNDRED GRAND, IN",3100,17675,0,17675,0,0,0,0,0,0,2,1,6,6,7,50,74.17,50,74,E,3,Y,5,2,228037,998568,2360,2360,1910,1988,2015,SoHo-Cast Iron Historic District, ,5.7,0,5,6.5,1,1004740022,0,47,983813,202135,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,258.7307614,3368.597428,770531,0,0,4725,4725,15,3375,14.17000008,14.17000008,0,14.17000008,0,212.5500011 +4725,MN,562,44,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,25 EAST 10 STREET,R7-2, , , , , , , , , ,N,D6,4,0, ,PHILLIPS&HUYLER ASSOC,6335,45496,5317,40179,4817,500,0,0,0,0,2,1,10,53,62,66.83,94.75,58,80, ,2,Y,5,1,783000,5475600,0,0,1929,0,0, , ,7.18,3.44,0,6.5,1,1005620044,0,61,986162,206207,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,325.2825194,6378.278299,4692600,8,0,4726,4726,28,6300,34.39444351,34.39444351,0,34.39444351,0,963.0444183 +4726,MN,928,26,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,383 1 AVENUE,R8B,C1-6A, , , , , , , , ,Y,C7,4,0,P,EAST SIDE VENTURES LL,9379,26769,5045,21724,0,2306,0,2739,0,0,2,4,5,36,39,49.38,150,24.67,150,E,0,Y,5,2,630000,2082150,0,0,1901,1966,0, , ,2.85,4,0,4,1,1009280026,0,64,989947,207656,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,556.7847592,9458.59998,1452150,11,0,4727,4727,42,9450,14.22500038,15.60555553,1.380555153,14.49556909,0.500366079,608.8139019 +4727,MN,467,46,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,231 EAST 11 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,ISAACS MAX,2550,7996,0,7996,0,0,0,0,0,0,2,1,4,5,5,25.5,100,26,76, ,3,N,5,5,115163,156384,0,0,1910,1986,0, , ,3.14,4,0,4,1,1004670046,0,40,987809,205582,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,258.9786702,2602.859461,41221,12,0,4728,4728,12,2700,28.52666664,30.02555466,1.498888016,28.72635174,0.463085881,344.7162209 +4728,MN,271,42,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,217 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,217-219 MADISON STREE,2612,10230,1000,9230,0,1000,0,0,0,0,2,1,5,20,21,26.25,100.17,26,90, ,3,N,5,1,103500,638100,0,0,1900,1988,0, , ,3.92,3.44,0,6.5,1,1002710042,0,6,987284,199029,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,257.6757253,2642.87202,534600,16,0,4729,4729,13,2925,17.21111107,20.38111115,3.170000076,18.08709394,1.328307233,235.1322212 +4729,MN,587,9,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,28 COMMERCE STREET,R6,C2-6, , , , , , , , ,Y,A9,1,0, ,"VERRAZZANI, RICHARD",884,1161,0,1161,0,0,0,0,0,0,2,1,2.5,1,1,16.67,51,16.67,30,E,2,Y,5,2,13570,85431,0,0,1899,0,0,Greenwich Village Historic District, ,1.31,2.43,0,4.8,1,1005870009,0,67,982973,205786,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,146.7079864,988.9392616,71861,9,0,4730,4730,4,900,15.94888878,19.40333366,3.454444885,16.98305559,1.42483445,67.93222237 +4730,MN,586,66,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,260 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,260 BLEEKER,1844,5295,1844,3451,0,1844,0,0,0,0,2,1,4,3,4,24.58,75,25,67,E,3,N,5,5,137131,312774,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.87,3.44,0,6.5,1,1005860066,0,67,983373,205636,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,201.274786,1758.227001,175643,9,0,4731,4731,8,1800,17.38400078,17.95600128,0.572000504,17.45550084,0.189171385,139.6440067 +4731,MN,408,7502,103,18,1002,2,1,10002,E015,7,14,7400,2,3, ,243 BROOME STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2187,8744,2870,5874,1419,1451,0,0,0,0,2,1,8,1,4,25,87.5,25,87, ,3,N,0,5,65005,546675,0,55437,1920,2005,2005, , ,4,4,4,4,1,1004087502,2108,18,987109,200775,12c, ,101N079,10204, ,1004080015,4/15/2010,1, , ,17V1.1,7,229.3300756,2274.654442,481670,13,0,4732,4732,10,2250,36.36111069,36.36111069,0,36.36111069,0,363.6111069 +4732,MN,606,73,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,101 WEST 10 STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,SOLAN HOLDING CORP 2,635,1435,360,1075,0,360,0,0,0,0,2,1,3,1,2,16.67,40.17,17,27, ,3,Y,5,2,18451,62230,0,0,1910,0,0,Greenwich Village Historic District, ,2.26,3.44,2,6.5,1,1006060073,0,71,984551,207040,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,111.0555797,646.6156917,43779,8,0,4733,4733,4,900,20.06222153,20.06222153,0,20.06222153,0,80.24888611 +4733,MN,573,67,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,45 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0,P,KIRAT SINGH QUALIFIED,1476,4369,0,3472,0,0,0,0,0,0,2,1,4,1,1,16,92.25,16,50, ,3,N,5,1,23550,434553,0,0,1900,2011,0,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005730067,0,63,984890,206630,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.6480297,1582.116073,411003,8,0,4734,4734,6,1350,18.98099899,18.98099899,0,18.98099899,0,113.885994 +4734,MN,525,31,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,124 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,L9,6,0, ,WEST HOUSTON PROPERTY,2500,13150,10520,2630,2630,0,0,7890,0,0,2,1,6,2,8,25,100,25,96,E,3,N,5,2,337500,1364850,0,0,1900,0,0,South Village Historic District, ,5.26,3.44,0,6.5,1,1005250031,0,65,983975,204444,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,257.5196359,2719.141346,1027350,9,0,4735,4735,12,2700,23.62666702,23.62666702,0,23.62666702,0,283.5200043 +4735,MN,528,18,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,226 WEST HOUSTON STREET,C2-6, , , , , , , , , ,N,K2,5,0, ,226 WEST HOUSTON STRE,1256,1400,1400,0,250,1150,0,0,0,0,2,1,2,0,1,25,50.25,25,40, ,3,N,5,0,135000,298350,0,0,1900,2011,0, , ,1.11,3.44,2,6.5,1,1005280018,0,67,982904,204766,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,151.0104042,1277.795764,163350,9,0,4736,4736,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +4736,MN,162,15,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,28 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,"DAH LEE CO.,CORP",2307,8577,1500,7077,0,1500,0,0,0,0,2,1,5,17,18,24,96.25,24,78, ,3,N,5,0,155250,617400,0,0,1920,1961,0, , ,3.72,3.44,6,6.5,1,1001620015,0,29,984648,199638,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,245.3470841,2403.817495,462150,14,0,4737,4737,11,2475,30.90500069,31.31000137,0.405000687,30.94181893,0.116429511,340.3600082 +4737,MN,394,64,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,609 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,609 ASSETS LLC,2581,11102,0,11102,0,0,0,0,0,0,2,1,6,12,12,25,103.25,25,100, ,3,N,5,0,180000,471150,0,0,2003,0,0, , ,4.3,4,0,4,1,1003940064,0,28,990142,204292,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,265.4832003,2784.943878,291150,12,1,4738,4738,12,2700,6.934999943,6.934999943,0,6.934999943,0,83.21999931 +4738,MN,764,38,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,68 7 AVENUE,C6-3A, , , , , , , , , ,N,S5,4,0, ,203 W 14TH ST CORP,2260,6310,1500,4810,0,1500,0,0,0,0,2,1,5,5,6,22.5,100,23,58,E,3,N,5,5,122193,464535,0,0,1920,0,0, , ,2.79,7.52,6,7.5,1,1007640038,0,81,984329,208537,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,257.1617217,2314.184129,342342,7,0,4739,4739,10,2250,24.42199898,26.89111137,2.469112396,25.30568829,1.099690413,253.0568829 +4739,MN,694,2,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,164 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,J5,5,0, ,164 11TH AVE BUILDING,1851,5206,3666,1540,0,0,0,1540,0,2126,2,1,3,1,3,24.67,75,24.67,75,E,2,N,5,2,175500,328500,0,0,1900,1985,0, , ,2.81,7.52,6,10,1,1006940002,0,99,982280,211890,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,211.7842411,2121.166654,153000,2,1,4740,4740,9,2025,6.691111088,6.936999798,0.24588871,6.849246767,0.107768759,61.6432209 +4740,MN,279,21,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,47 ST JAMES PLACE,R7-2, , , ,C2-5, , , , , ,N,C7,4,0,P,CHIUS FAMILY ASSOCIAT,2333,9190,1900,7290,0,0,0,0,0,1900,2,1,5,16,18,37.33,107.67,37,94, ,2,Y,5,2,157500,416700,0,0,1900,1988,0, , ,3.94,3.44,0,6.5,1,1002790021,0,27,984647,198896,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,250.8510424,2446.300228,259200,16,0,4741,4741,11,2475,16.23777771,23.57999992,7.342222214,17.8041009,2.815037957,195.8451099 +4741,MN,758,37,104,111,1003,2,3,10001,L021,14,15,5500,1,4,2A,481 8 AVENUE,C6-4, , , , , ,HY, , , ,N,H2,5,0,P,HOLY SPIRIT ASSN ETAL,34562,1300727,34016,0,0,34016,0,0,0,0,2,1,42,0,3,197.5,175,196,173, ,3,N,3,2,14895000,82567800,3370287,18682613,1929,1990,2015, , ,37.63,10,10,10,1,1007580037,0,111,986011,213514,8d, ,105N031,10304,E-32,0, ,1, , ,17V1.1,0,758.8174713,35732.84774,67672800,6,0,4742,4742,153,34425,35.71889114,38.23933411,2.520442963,38.12680094,0.195464683,5833.400543 +4742,MN,738,23,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,321 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C6,2,0,P,319-321 WEST 14 OWNER,2581,6992,0,6992,0,0,0,0,0,0,2,1,4,5,5,25,103.25,25,80,E,3,N,5,1,180420,323880,35489,35489,1900,0,0, , ,2.71,6.02,6,6.5,1,1007380023,0,83,983281,209049,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,273.2954711,2854.164058,143460,7,0,4743,4743,13,2925,16.15333366,18.27000046,2.116666794,16.40384645,0.61793953,213.2500038 +4743,MN,143,13,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,181 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,181 DUANE LLC,1020,5950,1950,4000,950,0,0,0,0,1000,2,1,5,3,4,20.08,50.75,20,50, ,3,Y,5,5,145391,324707,0,0,1920,2008,0,Tribeca West Historic District, ,5.83,6.02,6,6.5,1,1001430013,0,39,981441,200701,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,143.3765174,969.9400747,179316,14,0,4744,4744,4,900,16.87599945,16.87599945,0,16.87599945,0,67.5039978 +4744,MN,910,21,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,233 EAST 29 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,233 E. 29TH LLC,2020,5276,0,5276,0,0,0,0,0,0,2,2,4,14,14,25,98.75,25,38, ,0,Y,5,5,136350,557550,0,0,1920,1987,2008, , ,2.61,4,0,4,1,1009100021,0,70,990126,209657,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,244.0298243,2437.144768,421200,10,0,4745,4745,11,2475,34.88199997,39.16999817,4.287998199,36.4062018,1.534500938,400.4682198 +4745,MN,400,9,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,506 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,506-8 HOLDING CORP,2396,7137,0,7137,0,0,0,0,0,0,2,1,5,19,19,24.92,96.17,25,54, ,3,N,5,2,124200,503550,0,0,1940,1989,0, , ,2.98,3,0,3,1,1004000009,0,32,988671,203225,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,243.4354891,2453.554168,379350,1,0,4746,4746,12,2700,15.8922224,20.7677784,4.875555992,18.323241,2.106070757,219.8788919 +4746,MN,531,31,102,55.02,1000,2,1,10003,L009,9,15,5700,1,2,2A,36 EAST 4 STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,EAST FOURTH CORP,2405,10070,1700,8370,0,1700,0,0,0,0,2,1,5,18,20,25.33,95,25,83, ,3,N,5,2,56700,1456650,0,0,1910,0,0,NoHo Historic District Extension, ,4.19,0,5,6.5,1,1005310031,0,5502,986391,204213,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,252.5504238,2559.657735,1399950,9,0,4747,4747,12,2700,41.26444626,42.59999847,1.335552216,41.37574228,0.369127132,496.5089073 +4747,MN,904,39,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,222 EAST 24 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,222 EAST 24 OWNERS CO,2403,13675,0,13675,0,0,0,0,0,0,2,1,7,11,11,24.33,98.75,24,97, ,3,N,5,2,109350,1572750,18880,18880,1900,1982,0, , ,5.69,4,0,4,1,1009040039,0,64,989327,208455,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,249.4523086,2447.944533,1463400,11,0,4748,4748,11,2475,21.18099976,30.10000038,8.919000626,21.99181799,2.564032403,241.9099979 +4748,MN,770,59,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,234 WEST 21 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,234 W 21ST ST OWNRS C,6335,32718,0,32718,0,0,0,0,0,0,2,1,7,35,35,58.17,109.5,58,97, ,3,Y,5,2,499500,3339000,25960,25960,1913,1983,0, , ,5.16,4,0,4,1,1007700059,0,87,984737,210062,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,345.2289211,6686.217123,2839500,7,0,4749,4749,29,6525,22.20999908,24.84000015,2.630001068,22.30068878,0.479884743,646.7199745 +4749,MN,770,2,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,200 8 AVENUE,C1-6A, , , , , , , , , ,N,S4,4,0, ,DAYTONA HOLDING CORP,1500,6200,1380,4820,0,1380,0,0,0,0,2,1,5,4,5,20,75,20,69,E,3,N,5,5,146555,338839,0,0,1900,1987,0, , ,4.13,4,2,4,1,1007700002,0,87,984397,210139,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,195.1599844,1611.016267,192284,7,0,4750,4750,7,1575,22.20999908,22.20999908,0,22.20999908,0,155.4699936 +4750,MN,194,7504,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,58 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, ,"ALARD,LLC 58 WALKER S",2560,11363,0,11363,0,0,0,0,0,0,2,1,5,5,5,25.12,100.33,25,92, ,0,Y,0,5,68084,636538,0,0,1915,0,0,Tribeca East Historic District, ,4.44,6.02,6,6.5,1,1001947504,1244,33,983409,201260,12a, ,11N 046,10105, ,1001940003,12/17/2002,1, , ,17V1.1,7,257.6993399,2661.154048,568454,14,0,4751,4751,12,2700,12.8255558,12.8255558,0,12.8255558,0,153.9066696 +4751,MN,641,5,102,79,2000,2,3,10014,L005,6,15,6100,1,2,3B,497 WEST STREET,C1-7A, , , , , , , , , ,N,G6,10,0, ,501 WEST STREET LLC,10255,200,200,0,0,0,200,0,0,0,2,1,4,0,0,146.5,70,0,50, ,0,N,3,5,741150,1121850,0,0,1900,0,0, , ,0.02,6.02,2,6.5,1,1006410005,0,79,981665,208146,8b, ,103 014,10210, ,0, ,1,1,1,17V1.1,0,447.7113483,11209.858,380700,8,1,4752,4752,48,10800,7.369999886,8.362221718,0.992221832,7.66880549,0.343372289,368.1026635 +4752,MN,310,5,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,42 LUDLOW STREET,C6-2, , , , , , , , , ,N,K2,5,0, ,42 LUDLOW LLC,4391,12900,12900,0,0,4400,0,8500,0,0,2,1,3,0,1,50.42,87.5,50,88, ,3,N,5,2,171450,972000,0,0,1900,0,0, , ,2.94,6.02,6,6.5,1,1003100005,0,16,987003,200220,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,281.8998025,4551.533965,800550,13,0,4753,4753,21,4725,34.98799896,37.80666733,2.818668365,35.23295157,0.758822508,739.891983 +4753,MN,625,6,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,64 JANE STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,KEY DAVID,945,2940,0,2205,0,0,0,0,0,0,2,1,3,3,3,21.33,44.67,21.33,35,E,3,Y,5,1,41549,130472,1550,1550,1899,0,0,Greenwich Village Historic District, ,3.11,2.43,0,4.8,1,1006250006,0,79,982540,208155,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,133.440392,968.0018357,88923,8,0,4754,4754,5,1125,15.4800005,15.4800005,0,15.4800005,0,77.40000248 +4754,MN,595,7505,101,39,1003,2,1,10013,L008,1,15,7700,3,1, ,471 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,5837,26595,0,26595,0,0,0,0,0,0,2,1,10,9,9,113,85,2,0, ,0,Y,0,5,121689,1802478,0,1001295,2009,0,0, , ,4.56,6.02,6,6.5,1,1005957505,2277,39,981513,203339,12a, ,101N063,10208, ,1005950033,11/17/2011,1,1,1,17V1.1,7,322.9749538,6130.503524,1680790,0,1,4755,4755,26,5850,7.78555584,10.56000042,2.77444458,9.212264978,1.117859487,239.5188894 +4755,MN,583,25,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,38 MORTON STREET,C2-6,R6, , , , , , , , ,Y,C4,2,0, ,UJIE REALTY USA INC,2429,9265,0,9265,0,0,0,0,0,0,2,1,5,14,14,25.17,96.5,25,82, ,3,Y,5,2,200250,912150,0,0,1929,1986,0,Greenwich Village Historic District, ,3.81,3.44,2,6.5,1,1005830025,0,67,982849,205480,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,250.1200021,2576.385263,711900,9,0,4756,4756,11,2475,15.38333321,17.22777748,1.844444275,15.55100996,0.530240448,171.0611095 +4756,MN,873,20,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,56 IRVING PLACE,R8A,R8B, , , , , , , , ,Y,H3,5,0, ,54-56 IRVING PLACE LL,5577,11640,4263,0,0,4263,0,0,0,0,2,2,4,0,2,52,107.25,52,44.25, ,0,N,5,2,1003950,1947600,0,0,1834,1991,0, , ,2.09,6,0,6,1,1008730020,0,50,987863,207406,12c, ,102 046,10307, ,1008730020,1/4/2000,1, , ,17V1.1,0,317.4448983,5513.567499,943650,5,0,4757,4757,25,5625,31.75300026,35.58000183,3.827001572,33.03704002,1.456972879,825.9260006 +4757,MN,547,30,102,57,2001,2,1,10003,E033,6,15,5700,1,2,2A,715 BROADWAY,C6-2, , , , , , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,31892,366268,366268,0,363768,2500,0,0,0,0,2,2,12,0,4,184.33,200,184.33,200, ,3,Y,3,2,5670000,26228700,5670000,26228700,1901,1988,2001,NoHo Historic District, ,11.48,6.02,6,6.5,1,1005470030,0,57,985954,205042,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,786.1898826,33588.09535,20558700,9,0,4758,4758,149,33525,38.30888748,42.85111237,4.542224884,40.24668121,0.517175881,5996.755501 +4758,MN,764,71,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,100 8 AVENUE,C1-6A, , , , , , , , , ,N,S9,4,0, ,100 AND 8TH LLC,1618,3917,1000,2917,0,1000,0,0,0,0,2,2,3,4,7,19.33,73.5,19,56, ,3,Y,3,5,119768,440073,0,0,1915,0,0, , ,2.42,4,2,4,1,1007640071,0,81,983746,208964,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,227.3034296,1747.001298,320305,7,0,4759,4759,7,1575,22.05333328,22.72555542,0.672222137,22.14936502,0.235228747,155.0455551 +4759,MN,542,59,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,199 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"199 BLEECKER, LLC",1920,13624,2170,11454,0,2170,0,0,0,0,2,1,6,15,16,29,96,29,92, ,3,N,5,2,205650,1616850,0,0,1932,0,0,South Village Historic District, ,7.1,3.44,0,6.5,1,1005420059,0,65,983846,205069,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,255.1615752,2858.844774,1411200,9,0,4760,4760,12,2700,18.38111115,18.38111115,0,18.38111115,0,220.5733337 +4760,MN,507,18,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,262 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,260 ELIZABETH STREET,2093,7545,600,6945,0,600,0,0,0,0,2,1,5,12,13,23.83,87.83,24,68, ,3,N,5,2,57600,1463850,0,0,1920,1986,0, , ,3.6,6.02,6,6.5,1,1005070018,0,43,986074,203013,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,221.5125687,2040.317646,1406250,9,0,4761,4761,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +4761,MN,68,16,101,15.02,1010,2,1,10038,E004,1,15,7700,1,1, ,84 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,HS,5,0,P,84 WILLIAM STREET PRO,7601,122959,3874,0,0,3874,0,0,0,0,2,1,20,137,139,70.08,77.52,71,100, ,3,Y,3,2,2514150,16700400,0,0,1907,2015,2015, , ,16.18,10,15,15,1,1000680016,0,1502,982110,197211,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,373.8142709,7455.022071,14186300,4,1,4762,4762,32,7200,13.77499962,14.06999969,0.295000076,13.78421837,0.051327841,441.0949879 +4762,MN,451,23,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,224 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,224 E 10TH STREET COR,2306,10098,1683,8415,0,1683,0,0,0,0,2,1,6,22,24,25,92.25,25,80, ,3,N,5,2,173250,690750,0,0,1900,0,0, , ,4.38,4,0,4,1,1004510023,0,40,988229,204889,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,238.7615075,2326.999895,517500,12,0,4763,4763,11,2475,23.10400009,26.74777794,3.643777847,23.98743456,1.472920789,263.8617802 +4763,MN,440,52,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,415 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,415 E 12 HOUSING DEVE,2260,9794,1632,8162,0,1632,0,0,0,0,2,1,6,15,16,24.33,103.25,24,89, ,3,Y,5,2,134100,470700,134100,220950,1900,1986,0, , ,4.33,4,0,4,1,1004400052,0,34,989075,205184,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,250.3580515,2463.239438,336600,12,0,4764,4764,11,2475,20.39299965,20.39299965,0,20.39299965,0,224.3229961 +4764,MN,379,8,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,158 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S5,4,0,P,158 AVENUE C REALTY L,1381,5667,1500,4167,0,1500,0,0,0,0,2,1,4,6,7,23.33,60,23.33,60, ,0,Y,3,5,95558,356033,0,0,1920,2014,0, , ,4.1,4,0,4,1,1003790008,0,28,990513,203661,12c, ,102 023,10202, ,1003790008,12/13/1988,1,1,1,17V1.1,0,172.700245,1529.917641,260475,12,1,4765,4765,6,1350,7.409999847,7.409999847,0,7.409999847,0,44.45999908 +4765,MN,898,39,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,232 EAST 18 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,LEO STEPHEN,6000,21000,0,21000,0,0,0,0,0,0,2,1,4,16,16,75,80,75,54, ,3,N,5,1,173700,1980000,14160,14160,1945,1988,0,Stuyvesant Square Historic District, ,3.5,3,0,3,1,1008980039,0,48,988652,207076,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,317.4541158,6284.720623,1806300,5,0,4766,4766,29,6525,22.7840004,24.96999931,2.185998917,23.01167856,0.593990224,667.3386784 +4766,MN,448,27,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,113 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,113 FIRST AVENUE PAR,1557,6226,1045,5181,0,1045,0,0,0,0,2,1,5,8,10,18.25,72.5,18,72, ,2,Y,3,2,57094,223632,0,0,1920,1984,0, , ,4,4,0,4,1,1004480027,0,38,988105,204148,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,212.7087109,1715.596849,166538,12,0,4767,4767,7,1575,27.03700066,27.1590004,0.121999741,27.13828605,0.042104257,189.9680023 +4767,MN,589,39,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,309 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,K2,5,0, ,SEI INSIEME LLC,2692,5400,5400,0,0,5400,0,0,0,0,2,1,2,0,1,17.75,144,17.75,74,E,3,Y,5,2,319050,1746450,0,0,1967,1988,0,Greenwich Village Historic District Exte, ,2.01,3.44,0,6.5,1,1005890039,0,67,983689,205572,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,341.9190865,2574.323748,1427400,9,0,4768,4768,12,2700,15.87222195,20.35000038,4.477778435,16.98027762,1.919359937,203.7633314 +4768,MN,518,32,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,150 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,SOHO'S SULLIVAN OWNE,4925,20190,1345,18845,0,1345,0,0,0,0,2,1,6,39,41,49.25,100.08,49,87, ,3,N,5,2,267750,2638350,12210,12210,1900,2015,0,Sullivan-Thompson Historic District, ,4.1,3.44,0,6.5,1,1005180032,0,49,983709,204272,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,298.6453186,4931.427423,2370600,9,0,4769,4769,22,4950,20.52111053,20.52111053,0,20.52111053,0,451.4644318 +4769,MN,304,26,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,89 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,G1,10,0,P,CHRYSTIE ST RLTY CO,5724,17856,17856,0,0,0,17856,0,0,0,2,1,4,0,1,56.67,101,56.67,101, ,0,Y,5,5,643950,1387350,0,0,1925,0,0, , ,3.12,3.44,6,6.5,1,1003040026,0,16,985796,200753,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,320.7940909,5838.179357,743400,0,0,4770,4770,26,5850,34.17111206,34.43600082,0.264888763,34.18960777,0.064428707,888.9298019 +4770,MN,848,70,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O, EAST 20 STREET,M1-5M, , , , , , , , , ,N,G6,10,0,X,NEW YORK CITY TRANSIT,4600,0,0,0,0,0,0,0,0,0,7,1,0,0,0,50,92,0,0, ,0,N,5,5,596250,596250,596250,596250,0,0,0,Ladies' Mile Historic District, ,0,0,5,6.5,1,1008480070,0,52,986898,208598,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,290.6660541,4746.975206,0,7,0,4771,4771,20,4500,40.91666794,44.2266655,3.309997559,42.4379776,0.962133146,848.759552 +4771,MN,766,7502,104,81,2001,2,3,10011,L012,10,15,5600,1,4, ,270 WEST 17 STREET,R8B,C6-2A,C1-6A, , , , , , , ,Y,RM,4,0, ,THE GRAND CHELSEA CON,22172,136095,29781,106314,0,29781,0,0,0,0,2,1,20,157,159,0.5,0,0,0, ,0,N,5,5,2612253,22294356,134015,168855,1989,0,0, , ,6.14,4,0,4,1,1007667502,629,81,983973,209324,8d,Y,103 033,10304, ,1007660001,9/25/1989,1, , ,17V1.1,7,629.9649275,23167.22366,19682100,7,0,4772,4772,103,23175,21.88888931,22.35666656,0.467777252,21.89929168,0.061692475,2255.627043 +4772,MN,622,17,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,398 BLEECKER STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,BLEECKER AND 11 OWNER,1907,5984,340,5644,0,340,0,0,0,0,2,1,4,17,18,38.17,50,38,40, ,2,N,5,2,270000,864900,2014,2014,1910,2012,0,Greenwich Village Historic District, ,3.14,3.44,2,6.5,1,1006220017,0,73,982805,207294,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,182.7069613,2048.044173,594900,8,0,4773,4773,8,1800,22.42000008,22.42000008,0,22.42000008,0,179.3600006 +4773,MN,96,12,101,15.01,3009,2,1,10038,E006,1,15,7700,1,1,1B,201 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,1,C,HOUSING PRESERVATION,2896,11500,11500,0,5750,5750,0,0,0,0,2,1,4,0,2,51,83,48,99, ,2,Y,3,0,612000,1310400,612000,1310400,1983,0,0,South Street Seaport Historic District, ,3.97,6.02,6,6.5,1,1000960012,0,1501,983279,196848,12b, ,101S008,10103, ,0, ,1,1,1,17V1.1,0,285.5145899,3287.123507,698400,4,1,4774,4774,15,3375,5.993332863,6.045555592,0.052222729,5.996814378,0.013026637,89.95221567 +4774,MN,609,13,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,150 WEST 14 STREET,C6-2A, , , , , , , , , ,N,G7,10,0, ,150 W. 14 REALTY LLC,2575,0,0,0,0,0,0,0,0,0,7,1,0,0,0,25,103.25,0,0, ,0,N,5,5,401400,401400,0,0,0,0,0, , ,0,6.02,6,6.5,1,1006090013,0,71,984453,208173,8d, ,103 027,10209, ,0, ,1, , ,17V1.1,0,260.4218124,2613.734545,0,8,0,4775,4775,12,2700,25.65555573,25.65555573,0,25.65555573,0,307.8666687 +4775,MN,577,14,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,52 WEST 14 STREET,C6-2M, , , , , , , , , ,N,D7,4,0, ,52 WEST 14TH STREET L,2581,12800,2300,10500,0,2300,0,0,0,0,2,1,7,18,19,25,103.25,25,103, ,3,N,5,2,218250,1804050,0,0,1900,1987,2004, , ,4.96,6.02,6,6.5,1,1005770014,0,63,985306,207703,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,269.8694966,2720.680111,1585800,8,0,4776,4776,12,2700,29.70000076,30.09499931,0.39499855,30.06208277,0.109171832,360.7449932 +4776,MN,818,75,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,44 WEST 17 STREET,C6-4A, , , , , , , , , ,N,S4,4,0, ,44 W 17 LLC,1515,5664,1400,4264,0,1400,0,0,0,0,2,1,5,4,5,16.42,92,17,65,E,3,Y,5,5,270284,547534,0,0,1920,1985,2005,Ladies' Mile Historic District, ,3.74,10,10,10,1,1008180075,0,54,985770,208386,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,230.047642,1500.66892,277250,7,0,4777,4777,7,1575,31.11599922,34.83666611,3.720666885,31.8180948,1.29936445,222.7266636 +4777,MN,592,45,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,90 GROVE STREET,R6, , , , , , , , , ,N,A5,1,0, ,90 GROVE STREET LLC,2000,3480,0,2800,0,0,0,0,0,0,2,1,2,1,1,20,100,20,34, ,3,N,5,1,24619,125005,0,0,1899,2006,0,Greenwich Village Historic District, ,1.74,2.43,0,4.8,1,1005920045,0,71,983725,206468,12a, ,103 017,10208, ,1005920044,2/9/2000,1, , ,17V1.1,0,247.0943298,2070.683294,100386,9,0,4778,4778,9,2025,17.50333405,19.56266594,2.059331894,17.92412398,0.791095259,161.3171158 +4778,MN,385,2,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,21 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"21&23 AVE B, LLC",4186,10588,1500,9088,0,1500,0,0,0,0,2,1,4,12,16,56,74.75,28,65, ,0,N,5,5,135000,1144350,0,0,1900,1990,0, , ,2.53,4,0,4,1,1003850002,0,2202,988939,202369,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,271.3446171,4506.57065,1009350,1,0,4779,4779,21,4725,17.58333397,20.48333359,2.899999619,17.95354553,0.910603065,377.024456 +4779,MN,545,37,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,434 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,"GOLDMAN, MATTHEW",4491,13683,4200,9483,0,0,0,0,0,4200,2,1,5,14,15,27.42,158.33,27,155,E,3,Y,5,1,288900,2410200,0,0,1900,1987,0,NoHo Historic District,434 LAFAYETTE STREET BUILDING,3.05,0,5,6.5,1,1005450037,0,57,986355,205018,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,435.4880883,4947.613579,2121300,9,0,4780,4780,22,4950,38.29555511,38.29555511,0,38.29555511,0,842.5022125 +4780,MN,410,17,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,97 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,D7,4,0, ,YUNG'S REALTY CORP.,2500,13355,2226,11129,0,2226,0,0,0,0,2,1,6,15,19,25,100,25,100, ,2,N,3,2,154350,1147500,0,0,1920,2014,0, , ,5.34,4,4,4,1,1004100017,0,18,987417,201565,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,260.1554986,2782.516331,993150,13,0,4781,4781,13,2925,33.32444382,33.32444382,0,33.32444382,0,433.2177696 +4781,MN,443,7502,103,36.02,1001,1,2,10003,E028,9,14,6500,3,3, ,62 EAST 1 STREET,R8B, , , , , , , , , ,N,RM,4,0, ,62 EAST 1 STREET COND,3414,13898,3027,10871,3027,0,0,0,0,0,2,1,6.5,10,12,24.92,135,25,98.5, ,3,Y,0,5,161098,2105100,0,386049,2007,0,0, , ,4.07,4,0,4,1,1004437502,1970,3602,987289,202986,12c, ,102 010,10205, ,1004430046,12/15/2008,1, , ,17V1.1,7,329.0100547,3484.934323,1944000,1,0,4782,4782,15,3375,31.19000053,36.9066658,5.716665268,32.81458524,2.371037976,492.2187786 +4782,MN,162,61,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,2 BOWERY,C6-1, , , , , , , , , ,N,D7,4,0, ,CHOUK KING CO INC,1651,8255,1500,6755,0,1500,0,0,0,0,2,1,5,6,7,30,72,30,66, ,2,Y,3,2,266400,1175850,0,0,1915,0,0, , ,5,3.44,6,6.5,1,1001620061,0,29,984883,199493,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,195.2361007,1842.909255,909450,16,0,4783,4783,7,1575,39.70399857,39.70399857,0,39.70399857,0,277.92799 +4783,MN,806,1,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,363 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0, ,"GATEWAY REALTY,",3469,83642,83642,0,81142,2500,0,0,0,0,2,1,22,0,27,46.25,75,46,75, ,2,N,3,1,1831500,9000450,0,0,1930,1989,0, , ,24.11,0,10,10,1,1008060001,0,101,986441,211969,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,247.1799133,3630.742132,7168950,6,0,4784,4784,17,3825,35.0344429,35.61555481,0.581111908,35.06862596,0.136732214,596.1666412 +4784,MN,500,36,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,131 SPRING STREET,M1-5A, , , , , , , , , ,N,O9,5,0, ,131 SPRING MEMBER LLC,4712,28824,20800,8024,15800,5000,0,0,0,0,2,1,6,4,10,49.08,96,49,94, ,3,N,5,2,1125000,11780100,0,0,1915,2014,2015,SoHo-Cast Iron Historic District, ,6.12,0,5,6.5,1,1005000036,0,49,984103,203086,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,298.1286354,4734.837867,10655100,0,0,4785,4785,22,4950,17.84111023,21.86533356,4.024223328,18.02402947,0.838241273,396.5286484 +4785,MN,853,1,105,56,1006,2,2,10010,E016,13,15,5700,1,5, ,1 MADISON AVENUE,C5-3, , , , , , , , , ,N,H1,5,0,P,BLACK SLATE F 2013 LL,6361,252109,75989,0,18880,15725,0,35094,0,6290,2,1,51,0,1,0,0,74.83,85,E,1,N,3,2,9237600,53353350,0,0,1932,2013,0, , ,39.63,10,15,15,1,1008530001,0,56,987754,209341,8d, ,104 003,10306, ,1008531025,7/26/2013,1, , ,17V1.1,0,327.6592002,6644.659532,44115800,11,0,4786,4786,29,6525,33.9090004,37.34555435,3.436553955,34.26809219,0.887756043,993.7746735 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,1,1,1,17V1.1,0,208.5910845,1955.267087,899630,12,1,4834,4834,8,1800,7.409999847,9.576666832,2.166666985,7.68083322,0.716557752,61.44666576 +4834,MN,446,28,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,340 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,M AND G MYCAK LLC,2404,9320,0,9320,0,0,0,0,0,0,2,1,5,20,20,25,96.17,25,86, ,3,N,5,1,185400,1339650,0,0,1900,1988,0, , ,3.88,4,0,4,1,1004460028,0,38,987779,203715,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,247.5634553,2431.969454,1154250,1,0,4835,4835,9,2025,28.45888901,30.11000061,1.651111603,28.64234585,0.518894316,257.7811127 +4835,MN,591,54,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,110 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K1,5,0, ,70 CHRISTOPHER REALTY,375,373,373,0,0,373,0,0,0,0,2,1,1,0,1,28.08,27.75,26,27.75, ,2,Y,3,1,373500,569250,0,0,1905,0,0,Greenwich Village Historic District, ,0.99,3.44,3.4,6.5,1,1005910054,0,73,983390,206505,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,93.65855267,416.5769537,195750,9,0,4836,4836,2,450,23.46111107,23.46111107,0,23.46111107,0,46.92222214 +4836,MN,411,2,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,148 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,148 APPLE ORCHARD REA,2200,6935,1350,5585,0,1350,0,0,0,0,2,1,5,19,21,25,88,25,52, ,3,N,5,1,135000,1094400,0,0,1920,1987,0, , ,3.15,4,4,4,1,1004110002,0,3001,987381,201807,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.0455171,2360.932703,959400,13,0,4837,4837,9,2025,31.68099976,31.68099976,0,31.68099976,0,285.1289978 +4837,MN,606,47,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,126 WEST 11 STREET,R6, , , , , , , , , ,N,D4,3,0, ,UNADILLA OWNERS CORP,5831,29624,0,29624,0,0,0,0,0,0,2,1,7,28,28,45,129.58,45,117, ,2,N,5,2,468000,3068100,68991,68991,1930,0,0,Greenwich Village Historic District, ,5.08,2.43,0,4.8,1,1006060047,0,71,984355,207296,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,359.6039687,6148.507529,2600100,8,0,4838,4838,27,6075,22.88666725,24.28077698,1.394109726,22.94046084,0.262857989,619.3924427 +4838,MN,353,20,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,121 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,121 RIVINGTON CORP.,5025,20907,1000,19907,0,1000,0,0,0,0,2,1,6,27,29,50.25,100,50,86,E,3,N,5,2,337500,1715850,0,0,1920,0,0, , ,4.16,4,4,4,1,1003530020,0,18,987754,201430,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,304.7177839,5125.244661,1378350,13,0,4839,4839,23,5175,29.00666618,29.00666618,0,29.00666618,0,667.1533222 +4839,MN,615,15,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,264 WEST 12 STREET,R6, , , , , , , , , ,N,A9,1,0, ,"ERICSSON, ALICE",1428,2313,0,2313,0,0,0,0,0,0,2,3,3,1,1,16.67,83.83,16.67,56, ,3,Y,5,2,17545,142298,0,0,1899,2008,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1006150015,0,77,983377,207929,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,206.7405745,1454.782224,124753,8,0,4840,4840,5,1125,23.05999947,25.21888924,2.158889771,23.8579998,0.982827877,119.289999 +4840,MN,150,38,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,291 BROADWAY,C6-4A, , , , , , , , , ,N,O6,5,0,P,291 BROADWAY RLTY ASS,7650,128940,128940,0,122690,6250,0,0,0,0,2,1,19,0,70,66.54,124.06,67,124, ,3,Y,3,2,1746000,11050650,0,0,1911,1990,0, , ,16.85,10,10,10,1,1001500038,0,33,982563,199754,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,398.26688,8354.27251,9304650,14,0,4841,4841,36,8100,23.54111099,32.45000076,8.908889771,23.78858015,1.464047296,856.3888855 +4841,MN,385,27,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,244 EAST 3 STREET,R8B, , , , , , , , , ,N,Z3,8,0,X,U S POSTAL SERVICE,4933,2550,2550,0,0,0,0,0,0,2550,2,1,1,0,1,49.5,105.92,24,104, ,2,N,5,0,221400,460800,221400,460800,1954,1985,0, , ,0.52,4,0,4,1,1003850027,0,2202,989384,202243,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,313.4826195,5241.617753,239400,1,0,4842,4842,23,5175,16.96500015,18.2761116,1.31111145,17.24142514,0.394835624,396.5527782 +4842,MN,884,25,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,121 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,"MARTHAMITE REALTY, LL",1747,7300,4300,3000,1800,2500,0,0,0,0,2,1,4,4,7,21.83,80,22,48, ,3,N,5,1,382500,714150,0,0,1920,0,0, , ,4.18,6.02,6,6.5,1,1008840025,0,72,989207,209860,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,207.140778,1801.693448,331650,11,0,4843,4843,9,2025,31.56888962,33.36999893,1.801109314,31.76901288,0.566034049,285.9211159 +4843,MN,510,33,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,281 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,281 LAFAYETTE REALTY,2454,5000,5000,0,0,5000,0,0,0,0,2,1,1,0,2,40.17,61.08,40,61, ,3,N,5,2,276300,2811600,0,0,1910,2016,0, , ,2.04,0,5,6.5,1,1005100033,0,43,985363,203023,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,200.2803445,2375.181195,2535300,9,0,4844,4844,10,2250,38.26333237,38.26333237,0,38.26333237,0,382.6333237 +4844,MN,694,33,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,207 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,K1,5,0, ,TSOUMPAS 203 HOLDINGS,1233,665,665,0,0,665,0,0,0,0,2,1,1,0,1,12.33,100,12,54, ,3,N,5,2,166500,351900,0,0,1920,0,0, , ,0.54,6.02,6,6.5,1,1006940033,0,99,982914,211562,8b, ,105S003,10301,E-142,0, ,1, ,1,17V1.1,0,229.3035524,1223.381022,185400,2,1,4845,4845,6,1350,9.366666794,10.81555557,1.448888779,9.785185178,0.487684805,58.71111107 +4845,MN,488,39,102,47,1002,2,1,10013,L008,1,15,6800,1,2,1A,512 BROOME STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,FLAMBEAU REALTY INC,1011,1011,1011,0,0,1011,0,0,0,0,2,1,1,0,1,20.42,49.5,20,50, ,3,N,5,2,137700,550800,0,0,1900,2014,0, , ,1,0,5,6.5,1,1004880039,0,47,983349,202919,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,138.7409057,1021.836154,413100,0,1,4846,4846,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +4846,MN,833,62,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,32 WEST 32 STREET,C6-4, , , , , , , , , ,N,K2,5,0, ,"MEEKANG, INC.",2469,13194,13194,0,0,13194,0,0,0,0,2,1,6,0,5,25,98.75,25,93, ,3,N,5,2,513000,2462400,0,0,1910,0,0, , ,5.34,10,10,10,1,1008330062,0,76,987786,211663,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,249.8603734,2488.747949,1949400,10,0,4847,4847,11,2475,41.76111221,41.76111221,0,41.76111221,0,459.3722343 +4847,MN,414,61,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,264 BROOME STREET,C4-4A, , , , , , , , , ,N,S5,4,0, ,GOLSAM APPAREL CORP,1073,5187,1080,4107,0,1080,0,0,0,0,2,1,6,5,6,19,56.83,19,46, ,3,Y,5,2,39279,281782,0,0,1900,2005,0, , ,4.83,4,4,4,1,1004140061,0,18,986900,200986,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,157.7095006,1129.500607,242503,13,0,4848,4848,6,1350,37.73199844,38.58555603,0.853557587,37.87425804,0.318102131,227.2455482 +4848,MN,159,60,101,29,4007,2,1,10007,E006,5,15,7700,1,1,3B,100 PARK ROW,C6-1, , , , , , , , , ,N,O3,5,0,O,USA GENERAL SERVICES,18509,128235,128235,0,128235,0,0,0,0,0,2,1,11,0,1,198.08,107,118,105, ,3,Y,3,1,2146500,11155500,2146500,11155500,1974,0,0, , ,6.93,3.44,6,6.5,1,1001590060,0,29,983590,199035,12b, ,101S025,10105, ,0, ,1, , ,17V1.1,0,595.3474297,19314.74749,9009000,16,0,4849,4849,85,19125,19.0890007,31.34333229,12.25433159,20.78544368,3.520781618,1766.762712 +4849,MN,874,13,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,119 EAST 18 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,LILLIAN W BREGMAN,2000,6438,1800,4638,0,1800,0,0,0,0,2,1,4,2,3,21.75,92,22,92,E,3,N,5,5,191243,278414,0,0,1950,1980,0, , ,3.22,4,0,4,1,1008740013,0,50,987744,207741,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,236.8628588,2224.470774,87171,5,0,4850,4850,9,2025,33.91699982,33.91699982,0,33.91699982,0,305.2529984 +4850,MN,194,32,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,60 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,D6,4,0,P,60-62 LISPENARD LLC,4420,29158,4000,25158,0,4000,0,0,0,0,2,1,7,7,9,49.42,90.58,49,91,E,2,Y,5,2,419268,1690000,0,0,1915,1983,0,Tribeca East Historic District, ,6.6,6.02,6,6.5,1,1001940032,0,33,983465,201341,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,282.9309829,4521.422854,1270730,14,0,4851,4851,19,4275,12.8255558,12.8255558,0,12.8255558,0,243.6855602 +4851,MN,204,31,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,175 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,RABER--171 CANAL,1575,7875,7875,0,6375,1500,0,0,0,0,2,1,5,0,6,20.08,74.83,21,64,E,3,Y,5,2,337050,1142550,0,0,1912,0,0, , ,5,3.44,6,6.5,1,1002040031,0,41,985014,200460,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,193.2605593,1568.398602,805500,14,0,4852,4852,7,1575,36.00444412,36.00444412,0,36.00444412,0,252.0311089 +4852,MN,910,7501,106,70,3001,2,2,10016,E016,13,14,5800,2,6, ,250 EAST 30 STREET,C1-8A, , , , , , , , , ,N,RM,4,0, , ,5750,67138,8994,58144,0,8994,0,0,0,0,2,1,14,80,81,65,88.46,0,0, ,0,N,0,5,954454,11486250,97460,97460,2001,0,0, , ,11.68,7.52,2,7.5,1,1009107501,1320,70,990318,209678,8d, ,104 008,10308, ,1009100033,12/24/2003,1, , ,17V1.1,7,318.6884659,6255.214914,10531800,10,0,4853,4853,28,6300,34.37666702,34.95644379,0.579776764,34.39737334,0.107593158,963.1264534 +4853,MN,757,66,104,103,1000,2,3,10001,L021,14,15,5500,1,4,2A,354 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,D7,4,0,P,CHARLIL 34TH LLC,23775,279392,48400,230992,11400,37000,0,0,0,0,2,1,14,252,253,116,197.5,116,197.5, ,0,Y,5,2,3550500,31901850,0,0,1930,1995,0, , ,11.75,10,10,10,1,1007570066,0,103,985339,213555,8d, ,105S020,10304,E-32,0, ,1, , ,17V1.1,0,670.3271264,25464.27607,28351400,6,0,4854,4854,113,25425,40.9090004,46.67889023,5.769889832,41.34977418,1.43343806,4672.524483 +4854,MN,909,46,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,216 EAST 29 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,"SAKOW, TRUSTEE, MARCU",4938,24600,0,24600,0,0,0,0,0,0,2,1,6,54,54,50,98.75,48,81, ,2,N,5,1,352350,2090700,0,0,1960,1975,0, , ,4.98,4,0,4,1,1009090046,0,66,989911,209603,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,302.5550099,5042.665212,1738350,11,0,4855,4855,22,4950,35.64599991,38.52111053,2.875110626,35.83672714,0.647046306,788.4079971 +4855,MN,746,110,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,351 WEST 22 STREET,R7B, , , , , , , , , ,N,C0,2,0,P,"LEWIS, REGINALD",1234,3300,0,2640,0,0,0,0,0,0,2,1,4,3,3,12.5,98.75,12.5,55, ,2,N,5,1,76291,133360,0,0,1901,0,0,Chelsea Historic District Extension, ,2.67,3,0,3,1,1007460110,0,93,983998,210952,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,226.149003,1252.809438,57069,2,0,4856,4856,6,1350,15.97222233,16.39444351,0.422221184,16.04259253,0.157352545,96.25555515 +4856,MN,378,29,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,744 EAST 9 STREET,R8B, , , , , , , , , ,N,E1,6,0,P,AGP LAND CO LTD,2348,2850,2850,0,950,0,0,1900,0,0,2,1,1.5,0,1,25,93.92,25,76, ,0,N,5,5,72000,174150,0,0,1989,0,0, , ,1.21,4,0,4,1,1003780029,0,2602,990829,203170,12c, ,102 023,10202,E-216,0, ,1, 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STREET,R7-2,C6-1G, , , , , , , , ,Y,C7,4,0, ,SILVERSHORE HENRY LLC,2725,10860,900,9960,0,900,0,0,0,0,2,1,5,20,21,27.42,100,27,90, ,3,N,5,1,168300,537750,0,0,1900,0,0, , ,3.99,3.44,0,6.5,1,1002800010,0,8,985395,199087,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,259.9947089,2832.708218,369450,16,0,4866,4866,12,2700,27.8318882,29.04899979,1.217111588,27.93331416,0.336391872,335.19977 +4866,MN,179,28,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,24 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,G1,10,0, ,24 LEONARD HOLDINGS L,9983,37936,37936,0,0,0,37936,0,0,0,2,1,4,0,1,99.83,100,99,59, ,0,N,5,2,999000,1579500,0,0,1940,0,0,Tribeca West Historic District, ,3.8,6.02,6,6.5,1,1001790028,0,33,982130,200971,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,402.4632446,10121.53107,580500,14,1,4867,4867,44,9900,10.17444515,10.54222202,0.367776871,10.18280372,0.054810778,448.0433636 +4867,MN,392,16,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,362 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,362 EAST 10TH STREETC,2306,5394,0,5394,0,0,0,0,0,0,2,1,4,8,8,25,92.25,25,48, ,0,N,5,5,13944,61922,0,0,1900,0,0, , ,2.34,4,0,4,1,1003920016,0,28,990033,203889,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,241.7560306,2368.490465,47978,12,1,4868,4868,10,2250,7.576999664,10.00555515,2.428555489,8.317977524,0.940808183,83.17977524 +4868,MN,529,144,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,5 BLEECKER STREET,C6-1, , , , , , , , , ,N,S5,4,0, , ,1008,3960,990,2970,0,990,0,0,0,0,2,1,4,6,7,20.2,50,20.2,49, ,0,N,1,5,115756,242162,0,0,1920,0,0,Noho East Historic District, ,3.93,3.44,6,6.5,1,1005290144,0,5502,986281,203596,12c, ,103 010,10207, ,1005290043,10/11/2000,1, , ,17V1.1,0,150.2598036,1160.318835,126406,9,0,4869,4869,6,1350,41.23199844,41.23199844,0,41.23199844,0,247.3919907 +4869,MN,373,40,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,327 EAST 3 STREET,R8A, , , ,C1-5, , , , , ,N,C6,2,0,P,HOUSING DVLPMT FD COR,3250,17610,1200,16410,0,1200,0,0,0,0,2,1,6,25,29,32.5,100,32,96,E,1,N,3,2,270000,760950,270000,425505,1920,1981,0, , ,5.42,6,0,6,1,1003730040,0,2601,990231,201918,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,271.8089713,3563.832883,490950,1,1,4870,4870,16,3600,10.97999954,11.850667,0.870667458,11.05294406,0.21806062,176.847105 +4870,MN,754,19,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,337 WEST 30 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,BRE FSC MULTIFAMILY B,4542,24617,0,24617,0,0,0,0,0,0,2,1,14,37,37,46,98.75,41,65, ,1,N,5,2,350550,2458350,0,0,1987,0,0, , ,5.42,4,0,4,1,1007540019,0,103,985144,212711,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,304.8059459,4808.130857,2107800,6,0,4871,4871,22,4950,33.70700073,39.70222092,5.995220184,34.79444504,2.069700238,765.4777908 +4871,MN,876,11,106,50,1002,2,2,10003,E014,13,14,5300,1,6,1B,2 GRAMERCY PARK WEST,R7B,C6-4A, , , , , , , ,LH-1,Y,D3,3,0, ,"POTASH, MARLIN S",2888,11928,0,11928,0,0,0,0,0,0,2,1,5,7,7,26.25,110,26,77, 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,0, ,1, , ,17V1.1,0,245.1895105,2453.937961,224988,8,0,4878,4878,11,2475,24.5988884,27.21000099,2.611112595,25.4221618,0.890862021,279.6437798 +4878,MN,595,72,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,324 SPRING STREET,C6-2A, , , , , , , , , ,N,S3,4,0,P,PAUL RAQUEL INC.,1124,4260,1065,3195,0,1065,0,0,0,0,2,1,4,3,4,20.08,56,20,53, ,3,Y,5,5,68685,283955,0,0,1900,2006,2006, , ,3.79,6.02,6,6.5,1,1005950072,0,37,981638,203719,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,155.6268316,1154.854572,215270,0,1,4879,4879,5,1125,8.821000099,9.569999695,0.748999596,9.118600082,0.364497769,45.59300041 +4879,MN,769,8,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,257 WEST 19 STREET,C6-2A,R8B, , , , , , , , ,Y,L9,6,0, ,JOAN WARREN JACKSON,3828,8342,8342,0,0,2085,0,6257,0,0,2,2,4,0,1,27.5,105.08,27.5,45,E,0,Y,5,5,149850,715500,6210,6210,1910,0,0, , ,2.18,6.02,6,6.5,1,1007690008,0,87,984429,209891,8d, ,103 034,10304, ,0, ,1, , 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+4882,MN,910,13,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,217 EAST 29 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,29TH STREET ASSOCIATE,2469,9470,500,8970,0,500,0,0,0,0,2,1,5,21,23,25,98.75,25,72, ,3,N,5,2,196200,1224450,0,0,1900,1985,0, , ,3.84,4,0,4,1,1009100013,0,70,989954,209758,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,254.5164829,2598.650712,1028250,10,0,4883,4883,10,2250,34.88199997,36.72333145,1.841331482,35.36273308,0.740200921,353.6273308 +4883,MN,883,77,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,126 EAST 28 STREET,C4-5A, , , , , , , , , ,N,K4,4,0, ,SINHA PARTNERSHIP,1978,5448,3366,2082,0,3366,0,0,0,0,2,1,4,2,4,20,98.75,20,97,E,3,N,5,2,234000,945900,0,0,1910,0,0, , ,2.75,4,4,4,1,1008830077,0,68,988943,209846,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,245.912318,2040.823385,711900,11,0,4884,4884,9,2025,33.29444504,33.29444504,0,33.29444504,0,299.6500053 +4884,MN,492,38,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,190 BOWERY,C6-1, , , , , ,LI, , , ,N,O5,5,0, ,190 BOWERY OWNER LLC,4760,36000,36000,0,30000,6000,0,0,0,0,2,1,6,0,2,59.75,101.5,50,100, ,2,Y,3,2,1408950,4487400,0,0,1900,2015,0, ,GERMANIA BANK BUILDING,7.56,3.44,6,6.5,1,1004920038,0,43,985893,202027,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,313.9504613,5426.69591,3078450,0,0,4885,4885,24,5400,39.76666641,40.71022034,0.943553925,39.80598116,0.188546902,955.3435478 +4885,MN,196,8,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3A,414 BROADWAY,M1-5, , , , , , , , , ,N,L8,6,0, ,FORTY EAST BROADWAYCO,2286,14328,14328,0,12328,2000,0,0,0,0,2,1,7,0,7,27,85,27,85,E,3,N,5,2,258750,1925550,0,0,1915,1985,0,Tribeca East Historic District, ,6.27,0,5,6.5,1,1001960008,0,31,983739,201240,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,232.3504778,2459.138348,1666800,0,0,4886,4886,11,2475,11.84555531,13.01011086,1.16455555,11.95142399,0.334786182,131.4656639 +4886,MN,197,7501,101,31,1002,2,1,10013,L001,5,15,7700,3,1, ,109 LAFAYETTE STREET,M1-5, , , , , , , , , ,N,RB,5,0, ,109 COMMERCIAL CONDO,6079,36244,36244,0,3208,33036,0,0,0,0,2,1,8,0,39,60,102,0,103, ,0,N,5,5,1073700,4081952,0,0,1920,0,0, , ,5.96,0,5,6.5,1,1001977501,568,31,984085,200836,12c, ,101N047,10105, ,1001970029,10/7/1988,1, , ,17V1.1,7,322.8514718,6116.468466,3008250,14,0,4887,4887,28,6300,13.85000038,13.86800003,0.017999649,13.86735719,0.003340319,388.2860012 +4887,MN,643,59,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,832 GREENWICH STREET,R6, , , , , , , , , ,N,D4,3,0, ,61 HORATIO APT CORP,4936,19700,0,19700,0,0,0,0,0,0,2,1,5,35,35,60.33,95.92,60,92, ,3,Y,3,2,450000,1839600,11800,11800,1925,1950,0,Greenwich Village Historic District, ,3.99,2.43,0,4.8,1,1006430059,0,79,982394,208484,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,320.6949447,5172.020029,1389600,8,1,4888,4888,22,4950,11.21500015,11.43222237,0.217222214,11.22487389,0.045247147,246.9472256 +4888,MN,503,26,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,107 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,FULCRUM,2508,11070,1380,9690,0,1380,0,0,0,0,2,1,6,22,24,25.08,100,25,86, ,3,N,5,2,270000,1981800,0,0,1900,1961,0,Sullivan-Thompson Historic District, ,4.41,3.44,0,6.5,1,1005030026,0,49,983658,203723,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,253.4356387,2595.310829,1711800,0,0,4889,4889,11,2475,15.37666702,15.37666702,0,15.37666702,0,169.1433373 +4889,MN,608,34,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,110 WEST 13 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SOLE, HELEN M",2065,3640,0,2660,0,0,0,0,0,0,2,1,3,1,1,20,103.25,20,35,E,3,N,5,1,44223,174182,0,0,1899,2014,0,Greenwich Village Historic District, ,1.76,2.43,0,4.8,1,1006080034,0,71,984755,207702,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,254.2755037,2142.763745,129959,8,0,4890,4890,10,2250,24.04400063,27.98555565,3.941555023,24.43815613,1.182466507,244.3815613 +4890,MN,517,1,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,135 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,135 SULLIVAN REALTYL.,3700,15008,3200,11808,0,3200,0,0,0,0,2,1,6,27,28,37,100,37,85, ,3,N,5,2,288900,1561050,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.06,3.44,0,6.5,1,1005170001,0,49,983732,204035,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,281.0411619,3830.041426,1272150,9,0,4891,4891,17,3825,17.9011116,17.9011116,0,17.9011116,0,304.3188972 +4891,MN,414,55,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,99 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,98 ALLEN STREET,2177,8435,1400,7035,0,1400,0,0,0,0,2,1,5,15,16,24.83,89,25,66, ,3,N,4,2,180000,1351350,0,0,1910,2000,0, , ,3.87,4,4,4,1,1004140055,0,18,986953,201085,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,229.2444379,2154.603516,1171350,13,0,4892,4892,10,2250,37.73199844,38.95577621,1.223777771,37.85437622,0.367133331,378.5437622 +4892,MN,644,60,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,57 GANSEVOORT STREET,M1-5, , , , , , , , , ,N,K9,5,0,P,GRIFFON GANSEVOORT HO,3740,20692,20692,0,10363,10329,0,0,0,0,2,1,5,0,4,115.5,64.75,100,48, ,3,Y,5,2,447750,2236050,0,0,1887,2005,2015,Gansevoort Market Historic District, ,5.53,0,5,6.5,1,1006440060,0,79,982281,208714,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,312.9294549,3764.816252,1788300,8,0,4893,4893,16,3600,13.47799969,13.47799969,0,13.47799969,0,215.647995 +4893,MN,621,64,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,57 CHARLES STREET,R6, , , , , , , , , ,N,A9,1,0, ,"FRANK SELVAGGI, TRUST",1900,4182,0,3137,0,0,0,0,0,0,2,1,3,1,1,20,95.25,20,58,E,3,N,5,1,44806,195378,0,0,1905,0,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006210064,0,73,983268,207071,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,236.8675677,1949.102485,150572,8,0,4894,4894,10,2250,24.81222343,27.3900013,2.577777863,25.97293377,1.05625326,259.7293377 +4894,MN,438,1,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,164 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0,P,CASABEL LLC,2256,9577,1916,7661,0,1916,0,0,0,0,2,2,5,6,9,23.67,94,24,94, ,3,N,3,0,56062,325282,0,0,1900,1984,0, , ,4.25,4,0,4,1,1004380001,0,34,988663,204779,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.9556697,2520.873689,269220,12,0,4895,4895,12,2700,17.98900032,23.22888947,5.239889145,18.42565775,1.448228853,221.107893 +4895,MN,741,138,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,304 WEST 18 STREET,C1-6A, , , , , , , , , ,N,B3,1,0,P,SJWA LLC,687,3363,0,3363,0,0,0,0,0,0,2,1,4,2,2,18,38.17,18,38, ,3,N,5,2,5400,159660,0,0,1910,2013,2009, , ,4.9,4,2,4,1,1007410138,0,83,983928,209716,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,116.9352166,719.1895378,154260,7,0,4896,4896,2,450,19.42666817,19.42666817,0,19.42666817,0,38.85333633 +4896,MN,503,7501,102,49,2001,2,3,10012,L020,1,15,6800,1,2, ,123 SULLIVAN STREET,R7-2, , , , , , , , , ,N,R1,2,0, , ,3140,10805,0,10805,0,0,0,0,0,0,2,1,6,6,6,41.83,75,41.1,60, ,0,N,0,5,69749,1361353,0,0,2000,0,0,Sullivan-Thompson Historic District, ,3.44,3.44,0,6.5,1,1005037501,1208,49,983593,203835,12a, ,101N071,10206, ,1005030013,11/21/2001,1, , ,17V1.1,7,243.0606323,3418.285193,1291600,0,0,4897,4897,15,3375,15.37666702,21.37111092,5.994443893,16.1464447,1.964215769,242.1966705 +4897,MN,7,30,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,24 WATER STREET,C5-5, , , , , ,LM, , , ,N,P7,8,0, ,SONS OF THE REVOLUTIO,1057,6045,6045,0,0,2016,0,858,0,3171,2,1,5,0,2,27.92,35.75,28,36, ,3,Y,5,2,179550,697050,107730,418230,1900,0,0,Fraunces Tavern Block Historic District, ,5.72,10,15,15,1,1000070030,0,9,981137,195473,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,140.0963609,1183.793895,517500,17,1,4898,4898,4,900,6.517333508,6.517333508,0,6.517333508,0,26.06933403 +4898,MN,410,8,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,134 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,134 ORCHARD LLC,2207,9008,1800,7208,0,1800,0,0,0,0,2,1,5,16,17,25.08,88,25,71, ,3,N,5,2,90000,713250,0,0,1900,0,0, , ,4.08,4,4,4,1,1004100008,0,18,987262,201503,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,235.5501389,2365.839731,623250,13,0,4899,4899,10,2250,33.47900009,33.47900009,0,33.47900009,0,334.7900009 +4899,MN,876,7502,106,50,1000,2,2,10010,E005,13,14,5300,1,6, ,151 EAST 20 STREET,C1-9A, , , , , , , , , ,N,RM,4,0, ,GRAMERCY PARK ASSOCIA,3600,12651,4598,8053,0,4598,0,0,0,0,2,1,5,24,26,75,48,0,48, ,0,N,5,5,522455,2363407,18636,18982,1950,0,0, , ,3.51,10,2,10,1,1008767502,609,50,988493,207860,12c, ,102 046,10307, ,1008760036,2/11/1989,1, , ,17V1.1,7,253.5615084,3794.630739,1840950,5,0,4900,4900,16,3600,24.27599907,25.00533295,0.729333878,24.32158244,0.176543623,389.145319 +4900,MN,211,15,101,33,2000,2,1,10013,E007,1,15,7700,1,1,3B,3 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0, ,3 LISPENARD STREET CO,1500,3627,1400,2227,0,1400,0,0,0,0,2,1,3,2,3,20,75,20,75, ,3,Y,5,4,23717,64209,0,0,1915,0,0, , ,2.42,6.02,6,6.5,1,1002110015,0,33,982902,201835,12a, ,101N045,10105,E-257,0, ,1,1,1,17V1.1,0,194.7120001,1565.678676,40492,0,1,4901,4901,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +4901,MN,635,19,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,29 BETHUNE STREET,R6, , , , , , , , , ,N,C0,2,0, ,BREZY INVESTMENT CORP,1980,3520,0,2640,0,0,0,0,0,0,2,1,2,3,3,22,88.58,22,42, ,1,Y,5,1,32951,158176,0,0,1910,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006350019,0,79,982191,207705,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,221.5690339,1962.782788,125225,8,0,4902,4902,6,1350,13.34599972,14.32999992,0.984000206,13.50999975,0.366715225,81.05999851 +4902,MN,698,47,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,518 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,H1,5,0, ,W27 HIGHLINE OWNER L,4937,35987,0,0,0,0,0,0,0,0,2,1,9,0,1,50,98.75,50,98.25, ,1,N,5,0,1800000,9930150,0,0,2011,0,0, , ,7.29,0,5,6.5,1,1006980047,0,99,983303,212675,8b, ,105S004,10301, ,0, ,1, , ,17V1.1,0,299.680945,4966.846806,8130150,2,1,4903,4903,21,4725,9.857999802,17.3777771,7.519777298,11.59301576,2.282292644,243.453331 +4903,MN,294,22,103,16,5006,2,1,10002,E015,7,14,7400,1,3,2B,50 CANAL STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,FONG LUM CORP,2316,14047,2316,11730,0,2316,0,0,0,0,2,1,6,20,23,46,50.17,45,50, ,3,N,3,2,186750,1134450,0,0,1900,0,0, , ,6.07,6.02,6,6.5,1,1002940022,0,16,986518,199658,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,200.3056514,2506.131668,947700,13,0,4904,4904,11,2475,39.21699905,40.50333405,1.286334991,39.41686804,0.410853094,433.5855484 +4904,MN,615,91,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,259 WEST 12 STREET,R6, , , , , , , , , ,N,D3,3,0, ,259 WEST 12 ST LLC,3512,14596,0,14596,0,0,0,0,0,0,2,2,6,26,26,50.17,70,50,58, ,2,N,5,1,322200,1866600,0,0,1900,0,0,Greenwich Village Historic District, ,4.16,2.43,0,4.8,1,1006150091,0,77,983403,208068,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,250.3899889,3780.427329,1544400,8,0,4905,4905,15,3375,21.74111176,21.74111176,0,21.74111176,0,326.1166763 +4905,MN,717,46,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,404 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,B3,1,0, ,404 W 20 LLC,2700,4562,0,3437,0,0,0,0,0,0,2,1,3,2,2,25,108,25,37,E,2,N,5,1,45696,121826,3380,3380,1901,0,0,Chelsea Historic District, ,1.69,3,0,3,1,1007170046,0,89,983320,210568,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,271.5455465,2689.084439,76130,7,1,4906,4906,12,2700,9.621110916,16.41888809,6.797777176,12.32777762,2.74735392,147.9333315 +4906,MN,863,50,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,60 EAST 34 STREET,C5-2, , , , , , , , , ,N,S5,4,0,P,SIXTY EAST LLC,1846,4484,1100,3384,0,1100,0,0,0,0,2,1,4,6,7,18.67,98.75,19,59, ,3,N,5,2,197683,539675,0,0,1925,1986,0, , ,2.43,10,10,10,1,1008630050,0,74,989195,211473,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,245.1744115,1918.383683,341992,10,0,4907,4907,9,2025,49.51499939,60.56777954,11.05278015,52.71944385,3.490572175,474.4749947 +4907,MN,473,30,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,35 CROSBY STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,DAJ REALTY LLC,1551,9100,1000,8100,0,1000,0,0,0,0,2,1,7,12,13,26,60.29,26,51, ,3,Y,5,2,177300,1240650,0,0,1900,2013,2015,SoHo-Cast Iron Historic District Extensi, ,5.87,0,5,6.5,1,1004730030,0,45,984454,201911,12c, ,101N073,10206, ,1004730030,12/31/1998,1, , ,17V1.1,0,176.7527699,1593.757985,1063350,0,0,4908,4908,6,1350,23.06555557,23.06555557,0,23.06555557,0,138.3933334 +4908,MN,850,16,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,922 BROADWAY,M1-5M, , , , , , , , , ,N,C7,4,0, ,BROADWAY 922 ENTERPRI,2155,12110,3960,8150,0,3960,0,0,0,0,2,1,5,16,19,22.42,103,22,102, ,3,Y,3,2,231750,2962350,0,0,1925,1988,0,Ladies' Mile Historic District, ,5.62,0,5,6.5,1,1008500016,0,56,987223,208824,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,247.1090952,2372.30231,2730600,7,0,4909,4909,11,2475,40.11999893,40.70488739,0.584888458,40.54789803,0.140096712,446.0268784 +4909,MN,500,22,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,113 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,113 GREENE ST OWNERS,2840,11544,1870,9674,0,1870,0,0,0,0,2,1,5,4,5,30,100,30,94,E,2,N,5,2,106220,663185,29020,29020,1900,1985,2008,SoHo-Cast Iron Historic District, ,4.06,0,5,6.5,1,1005000022,0,49,984309,203362,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,274.7991771,3026.641209,556965,0,0,4910,4910,15,3375,21.4659996,24.89599991,3.430000305,22.47955526,1.46090167,337.1933289 +4910,MN,393,35,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,171 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,EAST MANHATTAN HOLDIN,1964,7665,800,6865,0,800,0,0,0,0,2,1,5,18,19,23.67,83,24,66, ,3,N,5,2,225000,801900,0,0,1900,1962,0, , ,3.9,4,0,4,1,1003930035,0,28,990469,203890,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,213.9180657,1987.47376,576900,12,1,4911,4911,9,2025,7.409999847,7.705555439,0.295555592,7.442839358,0.092884161,66.98555422 +4911,MN,386,36,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,300 EAST 4 STREET,R7A, , , ,C2-5, , , , , ,N,D0,3,0, ,300 EAST 4 HOUSING CO,3756,16550,0,16550,0,0,0,0,0,0,2,1,5,20,20,41.67,90,42,90, ,2,N,3,2,270000,1869750,21240,21240,1940,2011,2009, , ,4.41,4,0,4,1,1003860036,0,2601,989648,202423,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,272.1061762,4069.563149,1599750,1,0,4912,4912,19,4275,12.88555527,14.87666607,1.991110802,13.20035066,0.573495336,250.8066626 +4912,MN,223,23,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,431 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,S1,4,0, ,CROW RAM MCDUCK MGMT,1617,3442,1721,1721,0,1721,0,0,0,0,2,1,2,1,2,20.42,82,21,74, ,3,Y,5,5,51689,160272,0,0,1915,1986,0, , ,2.13,6.02,6,6.5,1,1002230023,0,39,981434,202727,12a, ,101N040,10105,E-257,0, ,1,1,1,17V1.1,0,208.2350511,1630.043504,108583,0,1,4913,4913,8,1800,9.881999969,9.881999969,0,9.881999969,0,79.05599976 +4913,MN,776,7502,105,95,2003,2,3,10001,E001,10,15,5200,1,5, ,237 WEST 26 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2457,10014,3516,6498,0,3516,0,0,0,0,2,1,6,4,5,24.88,98.75,24.83,98.75, ,0,N,0,5,20110,557740,0,0,1910,0,0, , ,4.08,6.02,6,6.5,1,1007767502,1711,95,985395,211399,8d, ,105S010,10304, ,1007760016,9/11/2007,1, , ,17V1.1,7,245.3855732,2264.677401,537630,2,0,4914,4914,9,2025,26.70400047,26.70400047,0,26.70400047,0,240.3360043 +4914,MN,641,59,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,337 WEST 12 STREET,R6, , , , , , , , , ,N,B3,1,0, ,337 WEST 12TH TRUST,1076,2448,0,1836,0,0,0,0,0,0,2,1,3,2,2,17.67,80,17.67,36, ,2,Y,5,1,42743,125810,0,0,1899,0,0,Greenwich Village Historic District, ,2.28,2.43,0,4.8,1,1006410059,0,79,982353,208046,12a,Y,103 014,10210, ,0, ,1, , ,17V1.1,0,206.3387418,1152.724221,83067,8,0,4915,4915,3,675,12.27999973,12.27999973,0,12.27999973,0,36.8399992 +4915,MN,443,51,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,52 EAST 1 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,EAST 1 ST ETC,2444,8466,0,8466,0,0,0,0,0,0,2,1,5,8,8,23.75,100.5,24,68, ,3,Y,5,1,11888,47433,11888,17340,1900,1980,0, , ,3.46,4,0,4,1,1004430051,0,3602,987174,203030,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,255.6782556,2512.297158,35545,1,0,4916,4916,10,2250,32.93299866,36.69444656,3.761447906,33.65221024,1.41390436,336.5221024 +4916,MN,722,5,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,461 WEST 24 STREET,R7B, , , ,C2-5, , , , , ,N,A9,1,0, ,"CAMERON, REGAN",987,3430,0,2450,0,0,0,0,0,0,2,1,2.5,1,1,20,49.33,20,49,E,3,N,5,1,10401,43683,1550,1550,1910,2000,0, , ,3.48,3,0,3,1,1007220005,0,93,983376,211901,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,147.4063387,1074.056444,33282,2,1,4917,4917,5,1125,10.68099976,12.30999947,1.62899971,11.0067997,0.651599884,55.03399849 +4917,MN,619,7,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,514 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,C7,4,0, ,OL REALTY CORP,4315,7106,2256,4850,0,2256,0,0,0,0,2,3,4,15,18,47.25,70,23,65, ,0,N,5,5,360000,1818000,0,0,1905,0,0,Greenwich Village Historic District, ,1.65,3.44,2,6.5,1,1006190007,0,73,982593,206532,12a, ,103 012,10210, ,1006190009,5/16/1989,1, , ,17V1.1,0,315.1017133,4551.823338,1458000,9,0,4918,4918,22,4950,20.56999969,20.56999969,0,20.56999969,0,452.5399933 +4918,MN,539,30,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,215 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,CASTEGA REALTY ASSOCI,2500,11790,1900,9890,0,1900,0,0,0,0,2,1,6,22,24,25,100,25,86, ,3,N,5,2,274500,1326150,0,0,1900,1984,0,South Village Historic District, ,4.72,3.44,0,6.5,1,1005390030,0,65,984408,204904,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,251.6765281,2496.938697,1051650,9,0,4919,4919,10,2250,25.23555565,27.79111099,2.555555344,25.49111118,0.766666603,254.9111118 +4919,MN,924,2,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,312 2 AVENUE,R9A, , , , , , , , , ,N,C4,2,0,P,"LEI CHIN FAN, TRUSTEE",1020,4250,0,4250,0,0,0,0,0,0,2,1,5,10,10,17,60,17,49, ,3,N,5,2,63033,269900,0,0,1910,1958,0, , ,4.17,7.52,0,7.52,1,1009240002,0,48,989022,207014,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,166.4090855,1198.833209,206867,5,0,4920,4920,5,1125,14.83555603,17.84466743,3.009111404,15.43737831,1.203644562,77.18689156 +4920,MN,440,50,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,419 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,2512,11082,0,11082,0,0,0,0,0,0,2,1,6,11,11,24.33,103.25,24.33,87, ,0,N,5,5,33750,150300,0,96550,1900,1992,0, , ,4.41,4,0,4,1,1004400050,0,34,989119,205163,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,257.4190326,2496.73287,116550,12,0,4921,4921,12,2700,16.59444427,20.20666695,3.612222672,16.89546283,0.998365605,202.745554 +4921,MN,279,65,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,1 EAST BROADWAY,C6-1G, , , , , ,TA, , , ,N,K4,4,0,P,JWM REALTY LLC,1031,3848,3848,0,962,2886,0,0,0,0,2,1,4,0,3,17,60.92,17,58, ,3,Y,5,2,164700,460800,0,0,1910,0,0, , ,3.73,3.44,6,6.5,1,1002790065,0,27,984840,199124,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,159.1399744,1094.901844,296100,16,0,4922,4922,5,1125,27.60099983,31.85777855,4.256778717,28.45235558,1.702711487,142.2617779 +4922,MN,513,30,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,153 MERCER STREET,M1-5A, , , , , , , , , ,N,S4,4,0, ,MANHATTAN REALTY COMP,2500,10825,2165,8660,0,2165,0,0,0,0,2,1,5,4,5,25,100,25,92,E,2,N,5,5,145421,1002240,0,0,1920,0,2008,SoHo-Cast Iron Historic District, ,4.33,0,5,6.5,1,1005130030,0,49,984681,203477,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.6948625,2713.664465,856819,9,0,4923,4923,12,2700,26.62555504,34.61999893,7.994443893,28.62416601,3.46169575,343.4899921 +4923,MN,414,31,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,288 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"CHIU LONG REALTY, LLC",2407,10779,1796,8983,0,1796,0,0,0,0,2,1,6,20,21,23.58,102.08,24,85, ,3,N,5,2,225000,634500,0,0,1900,1986,0, , ,4.48,4,4,4,1,1004140031,0,18,986617,201123,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,257.7124232,2591.235579,409500,13,0,4924,4924,11,2475,41.33100128,41.33100128,0,41.33100128,0,454.6410141 +4924,MN,911,36,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,557 2 AVENUE,C1-8A, , , , , , , , , ,N,S4,4,0, ,5557 LLC,1516,4408,1200,3208,0,1200,0,0,0,0,2,1,4,4,5,19.67,77,20,45, ,3,N,5,5,235031,546596,0,0,1910,0,0, , ,2.91,7.52,2,7.5,1,1009110036,0,70,990433,209902,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,196.4760025,1487.099493,311565,10,0,4925,4925,6,1350,29.22888947,29.22888947,0,29.22888947,0,175.3733368 +4925,MN,159,51,101,29,4007,2,1,10007,E006,5,15,7700,1,1,3B,122 PARK ROW,C6-1, , , , , , , , , ,N,U7,7,0,C,MTA NYC TRANSIT AUTHO,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,49.5,108.25,0,0, ,0,Y,5,5,0,0,0,0,0,0,0, , ,0,3.44,6,6.5,1,1001590051,0,29,983698,199073,12b, ,101S025,10105, ,0, ,1, , ,17V1.1,0,334.6283004,5924.496531,0,16,0,4926,4926,26,5850,19.0890007,22.70111084,3.612110138,19.41611173,0.934042734,504.8189049 +4926,MN,620,7501,102,73,1002,2,3,10014,L005,6,15,6400,2,2, ,534 HUDSON STREET,C1-6, , , , , , , , , ,N,RM,4,0, , ,11337,56772,20397,36375,10902,9495,0,0,0,0,2,1,7,22,25,76,108.5,0,0, ,0,Y,0,5,2652748,9135002,85275,278399,1998,0,0,Greenwich Village Historic District, ,5.01,3.44,2,6.5,1,1006207501,1087,73,982621,206781,12a, ,103 012,10210, ,1006200009,12/24/1999,1, , ,17V1.1,7,432.7548469,11539.43432,6482250,9,0,4927,4927,51,11475,22.63400078,23.57222176,0.938220978,22.67249747,0.159630397,1156.297371 +4927,MN,297,16,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,44 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,WELL LUCK REALTY CORP,1881,7786,1425,6361,0,1425,0,0,0,0,2,1,5,16,17,25,75.25,25,75, ,2,N,5,2,180000,679500,0,0,1900,1983,0, , ,4.14,6.02,6,6.5,1,1002970016,0,16,986961,199955,12d,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,205.5841039,1944.82032,499500,13,0,4928,4928,8,1800,32.98300171,32.98300171,0,32.98300171,0,263.8640137 +4928,MN,741,60,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,350 WEST 18 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,350W18 STONE LLC,2300,9864,0,9864,0,0,0,0,0,0,2,1,6,18,18,25,92,25,78, ,3,N,5,2,90450,1361250,0,0,1910,1960,0, , ,4.29,4,0,4,1,1007410060,0,83,983462,209943,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,246.0233408,2598.869294,1270800,7,0,4929,4929,11,2475,15.59444427,17.23666763,1.642223358,15.84535339,0.543876113,174.2988873 +4929,MN,444,5,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,46 2 AVENUE,C6-2A, , , , , , , , , ,N,M1,8,0,P,RC CHURCH OF THE NATI,7500,6400,6400,0,0,0,0,0,0,6400,2,1,1,0,1,75,100,62,75, ,3,N,5,2,634500,1582650,634500,1582650,1969,0,0, , ,0.85,6.02,6,6.5,1,1004440005,0,3602,987086,203475,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,355.5591893,7703.162665,948150,1,0,4930,4930,34,7650,33.39555359,38.50333405,5.107780457,33.79546895,1.177886041,1149.045944 +4930,MN,698,10,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,537 WEST 26 STREET,M1-5, , , , , ,WCH, , , ,N,J9,5,0,P,"NWL REAL ESTATE, LLC",13825,13825,13825,0,0,0,0,0,0,13825,2,1,1,0,2,140,98.75,140,98.75, ,3,N,5,0,675000,1754100,0,0,1914,1989,2005,West Chelsea Historic District, ,1,0,5,6.5,1,1006980010,0,99,983030,212709,8b, ,105S004,10301, ,0, ,1,1,1,17V1.1,0,492.7322865,14874.09243,1079100,2,1,4931,4931,66,14850,9.274666786,9.857999802,0.583333015,9.834282629,0.101288141,649.0626535 +4931,MN,818,58,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,12 WEST 17 STREET,C6-4A, , , , , , , , , ,N,D4,3,0, ,12 W 17 ST TENANTS CO,2760,30240,1900,28340,0,1900,0,0,0,0,2,1,12,11,12,30,92,30,102, ,3,N,5,1,332100,3037050,4720,4720,1925,1982,0,Ladies' Mile Historic District, ,10.96,10,10,10,1,1008180058,0,54,986118,208193,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,263.1173371,3177.762527,2704950,7,0,4932,4932,15,3375,31.11599922,37.65222168,6.536222458,31.55174739,1.630420336,473.2762108 +4932,MN,623,27,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,74 BANK STREET,R6, , , , , , , , , ,N,B1,1,0, ,"O'KELLY, CIARAN T",2045,3306,0,2231,0,0,0,0,0,0,2,1,2.5,2,2,25.25,81,25.25,42,E,3,N,5,1,55282,250152,0,0,1899,2009,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1006230027,0,77,982952,207613,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,216.5606814,2146.569438,194870,8,0,4933,4933,9,2025,22.60333252,24.90555573,2.302223206,22.8591351,0.723518951,205.7322159 +4933,MN,489,31,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,71 THOMPSON STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,"ROSENBLUM, BERNICE",2583,9760,0,9760,0,0,0,0,0,0,2,1,5,21,21,25.83,100,26,80, ,2,N,5,2,117450,1336950,0,0,1900,0,0,Sullivan-Thompson Historic District, ,3.78,3.44,0,6.5,1,1004890031,0,47,983357,203244,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,257.676391,2830.26125,1219500,0,1,4934,4934,13,2925,9.686666489,13.12111092,3.434444427,10.47627332,1.253440262,136.1915531 +4934,MN,390,35,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,113 AVENUE C,R7A, , , ,C1-5, , , , , ,N,B1,1,0,P,ALEXIS BORGES,1218,4764,0,4764,0,0,0,0,0,0,2,1,3,2,2,19.33,63,19.33,45,E,3,N,5,2,12000,31648,0,0,1899,0,0, , ,3.91,4,0,4,1,1003900035,0,2602,990096,203198,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,165.8301455,1251.509609,19648,12,1,4935,4935,6,1350,7.409999847,8.074666977,0.66466713,7.520777702,0.247706814,45.12466621 +4935,MN,768,27,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,213 WEST 18 STREET,C6-2A, , , , , , , , , ,N,D9,3,0, ,CHELRAE ESTATES INC,2300,17500,0,17500,0,0,0,0,0,0,2,1,5,40,40,50,92,25,70, ,3,N,5,2,134100,1427850,0,0,1920,1987,0, , ,7.61,6.02,6,6.5,1,1007680027,0,87,984659,209450,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,280.231707,4410.190764,1293750,7,0,4936,4936,20,4500,21.88888931,21.88888931,0,21.88888931,0,437.7777863 +4936,MN,520,27,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,197 WEST HOUSTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,ZUCKERMAN SUSAN,1235,3300,0,2475,0,0,0,0,0,0,2,1,3,2,2,19,65,19,35, ,3,N,5,1,43871,114295,1550,1550,1899,0,0, , ,2.67,2.43,0,4.8,1,1005200027,0,37,983171,204612,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,166.5917146,1189.174158,70424,9,0,4937,4937,7,1575,16.76099968,17.17777824,0.416778564,16.82053947,0.145842117,117.7437763 +4937,MN,509,14,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,280 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,280 MULBERRY REALTY L,3633,14982,1000,13982,0,1000,0,0,0,0,2,1,6,33,34,40,90.83,40,75, ,3,Y,5,2,177300,3492000,0,0,1920,0,0, , ,4.12,6.02,6,6.5,1,1005090014,0,43,985648,203168,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,262.7048914,3657.561179,3314700,9,0,4938,4938,16,3600,42.24222183,44.0633316,1.821109772,42.41008973,0.475223979,678.5614357 +4938,MN,874,65,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1A,73 IRVING PLACE,R8B, , , , , , , , , ,N,C9,2,0,P,IRVING PL. REALTY LLC,2300,8975,4175,4800,1600,2575,0,0,0,0,2,1,5,6,14,25,92,25,64,E,0,N,3,2,477000,3396150,0,0,1900,0,0, , ,3.9,4,0,4,1,1008740065,0,50,987903,207764,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,248.5623457,2655.621684,2919150,5,0,4939,4939,12,2700,31.99444389,33.91699982,1.922555923,33.75678682,0.531366386,405.0814419 +4939,MN,482,22,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,226 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,226 LAFAYETTE CO INC,3775,22104,6400,15704,0,6400,0,0,0,0,2,1,6,12,13,76,51,51,76, ,3,Y,3,2,128250,3007800,0,0,1920,2016,2014, , ,5.86,0,5,6.5,1,1004820022,0,45,984954,202412,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,266.1459451,4286.171554,2879550,0,0,4940,4940,18,4050,30.94300079,37.14111328,6.198112488,31.54966121,1.733447024,567.8939018 +4940,MN,73,29,101, , ,2,1,10038, ,1,15,7700, , , , MARGINAL STREET,C4-6,C2-8, , , , ,LM, , , ,Y,Y7,7,0,C,NYC DSBS,147775,23240,23240,0,0,0,0,0,0,23240,2,1,1,0,1,90,500,90,258, ,0,Y,5,5,2812050,3589200,2812050,3589200,1900,0,0, ,BROOKLYN BRIDGE,0.16,10,3.4,10,1,1000730029,0,0,0,0,12d, ,101N104,10102, ,0, ,1,1,1,17V1.1,0,276.7467782,4098.692053,777150,4,1,4941,4941,15,3375,0,7.529999733,7.529999733,5.312570429,2.823943593,79.68855643 +4941,MN,921,1,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,230 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,I5,8,0, ,NEW YORK EYE AND EAR,3994,10703,10703,0,10703,0,0,0,0,0,2,1,3,0,0,53.25,75,53.25,67, ,0,N,3,2,450000,994050,0,0,1923,0,0, , ,2.68,4,2,4,1,1009210001,0,48,988534,206115,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,268.17459,4379.584307,544050,12,0,4942,4942,20,4500,22.90500069,29.07888794,6.173887253,24.0886672,2.227450115,481.773344 +4942,MN,198,29,101,29,1000,2,1,10013,L001,5,15,7700,1,1, ,232 CANAL STREET,M1-5, , , , , , , , , ,N,O6,5,0, ,"224 CANAL STREET, LLC",1501,12008,12008,0,10507,1501,0,0,0,0,2,1,8,0,8,26.17,64.58,26,65, ,3,Y,4,2,396450,1053450,0,0,1920,1987,0, , ,8,0,5,6.5,1,1001980029,0,29,984299,200726,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,179.1783374,1635.348028,657000,14,0,4943,4943,8,1800,16.20800018,17.89111137,1.683111191,16.44738913,0.550934537,131.579113 +4943,MN,637,7503,102,75,2002,2,3,10014,L005,6,15,6400,2,2, ,374 WEST 11 STREET,C1-7, , , , , , , , , ,N,RM,4,0, , ,2896,15474,1464,14010,1464,0,0,0,0,0,2,1,10,8,10,40.1,57.6,0,0, ,0,Y,0,5,306486,2574464,0,0,2000,0,0, , ,5.34,6.02,2,6.5,1,1006377503,1156,75,981559,207120,12a, ,103 011,10210, ,1006370053,10/16/2000,1,1,1,17V1.1,7,223.452075,3007.503223,2267980,9,1,4944,4944,14,3150,8.40222168,10.04599953,1.643777847,9.928586824,0.423337522,139.0002155 +4944,MN,722,1,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,242 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S5,4,0, ,"CHELSEA 327,",1975,5738,1200,4538,0,1200,0,0,0,0,2,2,4,6,7,24.67,80,25,53, ,2,N,3,2,95455,406606,0,0,1910,0,0, , ,2.91,3,0,3,1,1007220001,0,93,983325,211913,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,217.3358719,2186.742425,311151,2,1,4945,4945,10,2250,10.34000015,11.07999992,0.739999771,10.61859989,0.216588525,106.1859989 +4945,MN,355,1,103,30.01,3002,1,1,10002,L018,7,14,6600,1,3,2A,126 STANTON STREET,C4-4A,R7A, , , , , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,48223,107380,107380,0,0,0,0,0,0,107380,2,1,3,0,1,298.33,170,153,231, ,1,Y,3,0,2171250,10269000,2171250,10269000,1961,0,0, , ,2.23,4,4,4,1,1003550001,0,3001,988044,202060,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,955.5422162,50256.36191,8097750,1,0,4946,4946,224,50400,28.05555534,31.35666656,3.301111221,28.86089271,1.001050307,6464.839968 +4946,MN,924,11,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,313 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"MA, CHAN",1840,2880,0,2160,0,0,0,0,0,0,2,1,3,2,2,20,92,20,36, ,3,N,5,1,40970,118242,0,0,1910,0,0, , ,1.57,3,0,3,1,1009240011,0,48,989164,206954,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.3910317,1808.794787,77272,5,0,4947,4947,8,1800,14.83555603,17.43000031,2.594444275,15.81944442,1.028959275,126.5555553 +4947,MN,393,46,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,379 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,EAST VILLAGE LAUNCH L,2369,8493,0,8493,0,0,0,0,0,0,2,1,6,13,13,25,94.75,25,94, ,0,N,5,5,119250,1288350,0,0,2001,2011,0, , ,3.59,4,0,4,1,1003930046,0,28,990260,203938,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,246.4423012,2434.203262,1169100,12,1,4948,4948,11,2475,7.409999847,7.409999847,0,7.409999847,0,81.50999832 +4948,MN,818,15,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,37 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C5,2,0,P,37-39 WEST 16TH STREE,1518,4720,0,4720,0,0,0,0,0,0,2,1,5,10,10,16.5,92,17,52, ,3,N,5,2,106318,401020,0,0,1920,1962,0, , ,3.11,6.02,6,6.5,1,1008180015,0,54,985705,208311,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,223.8068646,1596.179648,294702,7,0,4949,4949,8,1800,31.11599922,32.99666595,1.880666733,31.43894386,0.632121066,251.5115509 +4949,MN,485,25,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,85 MERCER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,85 87 MERCER ST ASSOC,5017,24900,6400,18500,0,6400,0,0,0,0,2,1,5,16,19,50.17,100,50,96, ,2,N,5,2,450000,2791350,4720,4720,1920,0,0,SoHo-Cast Iron Historic District, ,4.96,0,5,6.5,1,1004850025,0,49,984187,202709,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,305.1980518,5080.115123,2341350,0,0,4950,4950,23,5175,17.71444511,17.71444511,0,17.71444511,0,407.4322376 +4950,MN,675,38,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,604 WEST 30 STREET,M2-3, , , , , , , , , ,N,G2,10,0,P,604 WEST 30TH STREET,2468,2468,2468,0,0,0,2468,0,0,0,2,1,1,0,1,25,98.75,25,98.75, ,2,N,5,2,155700,322200,0,0,1900,1988,0, , ,1,0,2,0,1,1006750038,0,99,983008,213719,8b, ,105S013,10301, ,0, ,1, , ,17V1.1,0,248.2013055,2514.323537,166500,6,1,4951,4951,11,2475,10.87300015,13.70222187,2.829221725,11.13020212,0.81334406,122.4322233 +4951,MN,590,9,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,273 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0,P,"UMANOV, MATT",2020,5628,2828,2800,0,2828,0,0,0,0,2,1,3,2,4,25.25,80.08,25.25,78,E,3,Y,5,2,240300,757800,0,0,1920,1988,0,Greenwich Village Historic District Exte, ,2.79,3.44,0,6.5,1,1005900009,0,67,983429,205813,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,220.1098566,2141.299801,517500,9,0,4952,4952,10,2250,17.79000092,20.4533329,2.663331985,18.1972229,0.861394499,181.972229 +4952,MN,525,64,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,106 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,106 PROPERTY LLC,1113,5133,410,4723,0,410,0,0,0,0,2,1,5,8,9,18,61.83,18,62, ,2,N,3,2,75120,263541,0,0,1900,0,0,South Village Historic District, ,4.61,3.44,0,6.5,1,1005250064,0,65,984150,204307,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,165.1009785,1229.466697,188421,9,0,4953,4953,6,1350,23.62666702,24.63666534,1.009998322,23.79500008,0.376404151,142.7700005 +4953,MN,421,80,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,40 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,DANMOR REALTY CORP,2483,11836,800,11036,0,800,0,0,0,0,2,1,6,22,24,24.83,100,25,84, ,2,N,5,2,144900,1174500,0,0,1900,0,0, , ,4.77,4,4,4,1,1004210080,0,3601,986723,201998,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,256.4415376,2593.241648,1029600,13,0,4954,4954,11,2475,39.88000107,41.56200027,1.681999207,40.70677913,0.635793323,447.7745705 +4954,MN,97,9,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,107 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,"MVP OF SOUTH STREET,",2011,8283,8283,0,0,0,0,8283,0,0,2,1,4.5,0,1,25.42,79.42,25,80, ,3,Y,5,0,139500,179550,0,0,1900,0,0,South Street Seaport Historic District, ,4.12,6.02,6,6.5,1,1000970009,0,1501,983658,196878,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,220.5522595,2192.134545,40050,4,1,4955,4955,10,2250,5.993332863,5.993332863,0,5.993332863,0,59.93332863 +4955,MN,871,78,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,108 EAST 16 STREET,C6-2A, , , , , , , , , ,N,O5,5,0,P,RASHID RLTY CO INC,3400,18064,18064,0,15064,3000,0,0,0,0,2,1,6,0,17,33,103.25,33,98, ,3,N,5,2,963000,1558800,0,0,1920,0,0, , ,5.31,6.02,6,6.5,1,1008710078,0,50,987348,207230,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,275.089862,3431.457196,595800,5,0,4956,4956,15,3375,37.98099899,40.2211113,2.240112305,38.24279175,0.675045426,573.6418762 +4956,MN,92,3,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,167 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,D5,3,1,P,WILLIAM 165 LLC,3480,31073,2500,28573,0,2500,0,0,0,0,2,1,10,12,13,52.75,86.25,51,78, ,2,Y,5,2,248850,2041200,0,0,1908,2008,0, , ,8.93,10,10,10,1,1000920003,0,1501,982595,198052,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,286.3919715,3768.630276,1792350,4,0,4957,4957,16,3600,29.61888886,34.5909996,4.972110748,33.15693033,1.799972841,530.5108852 +4957,MN,531,27,102,55.02,1000,2,1,10003,L009,9,15,5700,1,2,2A,28 EAST 4 STREET,M1-5B, , , , , , , , , ,N,D4,3,0,P,28 EAST FOURTH STREET,4290,31756,4204,27552,0,4204,0,0,0,0,2,1,8,14,15,50.67,84.67,50.67,84, ,3,N,5,2,154800,3825900,14570,14570,1902,0,0,NoHo Historic District Extension, ,7.4,0,5,6.5,1,1005310027,0,5502,986319,204266,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,283.3652147,4644.155038,3671100,9,0,4958,4958,22,4950,41.26444626,43.11666489,1.852218628,41.45962767,0.472481997,912.1118088 +4958,MN,489,5,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,63 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,C1,2,0, ,SULLIVAN SPRING REALT,2780,9110,0,9110,0,0,0,0,0,0,2,1,5,13,13,25.67,100,26,69, ,3,Y,5,2,85500,585900,0,0,1989,0,0,Sullivan-Thompson Historic District, ,3.28,0,5,6.5,1,1004890005,0,47,983164,203128,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,277.0169329,2844.541784,500400,0,1,4959,4959,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +4959,MN,144,28,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,138 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,138 WEST BROADWAY PTY,1185,4214,1000,3214,0,1000,0,0,0,0,2,1,4,3,4,23.67,50,24,48, ,0,Y,5,2,114608,286683,0,0,1915,0,0,Tribeca West Historic District, ,3.56,6.02,6,6.5,1,1001440028,0,33,981942,200509,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,153.6066539,1273.779582,172075,14,0,4960,4960,6,1350,11.09777832,11.09777832,0,11.09777832,0,66.58666992 +4960,MN,905,3,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,325 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,325 THIRD AVENUE LLC,3615,15376,2640,12736,0,2640,0,0,0,0,2,1,6,20,22,37,97.58,37,83, ,3,N,5,2,315450,1443600,0,0,1925,1986,0, , ,4.25,10,2,10,1,1009050003,0,66,989187,208734,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,274.4261627,3697.397988,1128150,11,0,4961,4961,15,3375,26.78800011,31.41422272,4.62622261,27.36551132,1.476302607,410.4826698 +4961,MN,914,28,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,607 2 AVENUE,C1-8A, , , , , ,TA, , , ,N,S3,4,0,P,607 2ND AVE REALTY LL,1469,4172,1200,2972,0,1200,0,0,0,0,2,1,4,3,4,19.58,75,20,73,E,3,N,5,5,236802,614274,0,0,1910,2006,2009, , ,2.84,7.52,2,7.5,1,1009140028,0,70,990761,210489,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,195.8651912,1577.958992,377472,10,0,4962,4962,6,1350,17.92555618,17.92555618,0,17.92555618,0,107.5533371 +4962,MN,449,52,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,59 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,59 EAST SEVENTH REALT,2438,11058,700,10358,700,0,0,0,0,0,2,1,6,24,25,25,97.5,25,85, ,3,N,5,1,346500,1239300,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.54,4,0,4,1,1004490052,0,38,987852,204417,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.6080039,2522.738471,892800,12,0,4963,4963,10,2250,25.48777771,29.53444481,4.046667099,26.2641777,1.554545224,262.641777 +4963,MN,621,42,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,86 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,86 PERRY STREET LLC,960,3500,0,3500,0,0,0,0,0,0,2,1,5,10,10,20,48,20,35, ,3,N,5,1,82065,245005,0,0,1901,0,0,Greenwich Village Historic District, ,3.65,3.44,2,6.5,1,1006210042,0,73,982987,207139,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,140.3770376,1021.037906,162940,8,0,4964,4964,5,1125,24.81222343,26.13666725,1.324443817,25.0771122,0.529777527,125.385561 +4964,MN,474,11,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,457 BROOME STREET,M1-5B, , , , , , , , , ,N,L8,6,0,P,BEAM-RICH INC.,4864,24785,24785,0,0,7000,0,17785,0,0,2,1,6,0,11,50.67,96,51,92,E,3,N,5,2,540000,2251800,0,0,1923,0,0,SoHo-Cast Iron Historic District, ,5.1,0,5,6.5,1,1004740011,0,47,983940,202375,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,303.3716095,5121.769999,1711800,0,0,4965,4965,22,4950,14.17000008,21.36333275,7.193332672,15.12111118,2.396200368,332.6644459 +4965,MN,189,7509,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,114 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,3787,13860,2995,10865,0,2123,0,872,0,0,2,1,7,5,6,43.83,75,43.83,75, ,0,N,0,5,310912,1594593,4720,4720,2004,0,0,Tribeca West Historic District, ,3.66,6.02,6,6.5,1,1001897509,1449,33,981937,201467,12a, ,11S 035,10105, ,1001890018,7/21/2005,1, , ,17V1.1,7,251.1408956,3695.026848,1283680,14,1,4966,4966,17,3825,10.17444515,11.22099972,1.046554565,10.23600719,0.246248133,174.0121222 +4966,MN,817,70,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,20 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C0,2,0, ,"HERKOVITS, JONATHANS.",2168,4620,0,4620,0,0,0,0,0,0,2,1,4,3,3,21,103.25,21,55,E,3,N,5,4,58607,174126,0,0,1925,2008,0, , ,2.13,6.02,6,6.5,1,1008170070,0,54,985835,208062,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,258.1432507,2380.01157,115519,7,0,4967,4967,10,2250,30.80200005,35.07444382,4.272443771,31.22924442,1.281733131,312.2924442 +4967,MN,873,61,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,118 EAST 18 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"118 EAST 18TH STREET,",2300,7370,0,7370,0,0,0,0,0,0,2,1,5,8,8,25,92,25,64, ,3,N,5,0,113490,533375,0,0,1900,1986,0, , ,3.2,4,0,4,1,1008730061,0,50,987697,207602,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,249.6801125,2674.025681,419885,5,0,4968,4968,12,2700,34.90100098,35.78666687,0.885665894,34.97480647,0.244785122,419.6976776 +4968,MN,460,53,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,67 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE MUTUAL,2500,13200,707,12493,0,707,0,0,0,0,2,1,6,18,20,25,100,25,88, ,0,N,5,5,154350,1156950,146633,1099103,1920,1993,0,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004600053,0,38,986879,204103,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,259.9019629,2663.247272,1002600,1,0,4969,4969,12,2700,35.65444565,38.08000183,2.425556183,35.85657533,0.670388314,430.278904 +4969,MN,443,24,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,75 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"75 EAST 2ND STREET, L",1725,6665,0,6665,0,0,0,0,0,0,2,1,5,10,10,25,70.5,25,50, ,3,Y,5,2,39019,155859,0,0,1910,1983,0,East Village/Lower East Side Historic Di, ,3.86,4,0,4,1,1004430024,0,3602,987299,203108,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,192.1469561,1801.137396,116840,1,0,4970,4970,9,2025,31.53899956,35.93000031,4.391000748,32.68354268,1.587754481,294.1518841 +4970,MN,905,56,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,337 3 AVENUE,C2-8, , , , , , , , , ,N,K4,4,0, ,"SPRINGBUCK HOLDINGS,",2410,4981,4241,740,2208,2033,0,0,0,0,2,1,3,2,5,24.67,97.58,24.67,30,E,3,N,3,2,211500,841500,0,0,1910,1989,0, , ,2.07,10,2,10,1,1009050056,0,66,989244,208837,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,250.3523627,2557.249374,630000,11,0,4971,4971,12,2700,26.78800011,33.69666672,6.908666611,28.35931476,2.730783151,340.3117771 +4971,MN,440,22,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,428 EAST 13 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,"LAFONTAINE, BARBARA",2512,7152,2000,5152,0,0,0,0,0,2000,2,3,4,2,3,24.33,103.25,24.33,42,E,3,N,5,5,58383,73117,1550,1550,1901,0,0, , ,2.85,4,0,4,1,1004400022,0,34,989213,205233,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,263.8847991,2655.855988,14734,12,0,4972,4972,12,2700,16.59444427,20.09555435,3.501110077,16.88620345,0.967655706,202.6344414 +4972,MN,354,36,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,122 RIVINGTON STREET,C4-4A,R7A, , , , , , , , ,Y,O5,5,0,P,"MR. LIBBY, LLC",3000,12500,12500,0,9500,3000,0,0,0,0,2,1,4,0,2,40,75,40,75, ,0,N,5,5,406350,2533500,0,0,1950,2002,0, , ,4.17,4,4,4,1,1003540036,0,3001,987827,201547,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,239.0041317,3179.984109,2127150,13,0,4973,4973,13,2925,28.01666641,28.01666641,0,28.01666641,0,364.2166634 +4973,MN,461,39,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,235 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,235 EAST 5TH STREET L,2425,9240,0,9240,0,0,0,0,0,0,2,1,5,10,10,25,97,25,79, ,3,N,5,2,48791,194526,0,0,1900,1988,0,East Village/Lower East Side Historic Di, ,3.81,4,0,4,1,1004610039,0,38,987171,204227,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,254.7377099,2651.976827,145735,1,0,4974,4974,12,2700,36.55199814,38.04333115,1.491333008,36.71105385,0.417797643,440.5326462 +4974,MN,601,72,102,69,1012,2,3,10014,E024,6,15,6400,1,2,1B,39 CLARKSON STREET,M1-5, , , , , , , , , ,N,F5,6,0, ,J.P.L. REALTY CORP.,5010,29967,29967,0,0,0,0,0,29967,0,2,1,6,0,1,49.92,100.42,49.92,100.42, ,3,N,5,2,286200,974700,0,0,1920,0,0, , ,5.98,0,5,6.5,1,1006010072,0,69,982108,205157,12a, ,103 001,10208,E-391,0, ,1, , ,17V1.1,0,313.4954679,5302.770266,688500,9,0,4975,4975,24,5400,13.63999939,13.63999939,0,13.63999939,0,327.3599854 +4975,MN,232,8,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,450 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,450 BROADWAY OWNERS L,3120,13373,7988,5385,2663,5325,0,0,0,0,2,1,5,2,6,26,120.5,26,114,E,3,Y,5,2,208800,3561300,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,4.29,0,5,6.5,1,1002320008,0,45,984064,201709,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,314.8578232,3351.625764,3352500,0,0,4976,4976,15,3375,14.35888863,17.86888886,3.510000229,14.59288864,0.875547886,218.8933296 +4976,MN,517,7501,102,49,3001,2,3,10012,L020,1,15,6800,1,2, ,131 THOMPSON STREET,R7-2, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,4400,23897,3071,20826,0,3071,0,0,0,0,2,1,7,38,41,44,100,0,0, ,0,N,5,5,393750,3264750,21650,21650,1950,0,0,Sullivan-Thompson Historic District, ,5.43,3.44,0,6.5,1,1005177501,736,49,983837,204008,12a, ,101N071,10206, ,1005170032,12/12/1990,1, , ,17V1.1,7,292.1487744,4491.010921,2871000,9,0,4977,4977,20,4500,17.9011116,17.9011116,0,17.9011116,0,358.0222321 +4977,MN,633,15,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,322 WEST 11 STREET,R6, , , , , , , , , ,N,C7,4,0,P,"322 WEST 11TH STREET,",2703,15960,2200,13760,0,2200,0,0,0,0,2,1,6,18,20,45.58,60.17,46,47, ,3,Y,5,1,558000,1567350,0,0,1910,1986,0,Greenwich Village Historic District, ,5.9,2.43,0,4.8,1,1006330015,0,75,982238,207242,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,211.232971,2728.47794,1009350,9,0,4978,4978,12,2700,15.64700031,20.27666664,4.629666328,16.4934353,1.661205463,197.9212236 +4978,MN,407,37,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,216 AVENUE B,C1-6A, , , , , , , , , ,N,S9,4,0, ,"TWIN KAY REALTY, LLC",1251,3912,600,3312,0,600,0,0,0,0,2,1,4,3,5,19.25,65,19.25,48, 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,17V1.1,0,244.2174558,2567.944368,369904,7,0,4981,4981,12,2700,31.11599922,33.5177803,2.401781082,31.61022186,0.797982942,379.3226624 +4981,MN,97,3,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,113 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,FOGLIANO RLTY HLDNGCO,1258,4420,4420,0,0,1258,0,3162,0,0,2,1,4,0,2,16.69,74.08,17,74, ,3,Y,5,0,99000,135000,0,0,1830,1989,0,South Street Seaport Historic District, ,3.51,6.02,6,6.5,1,1000970003,0,1501,983743,196939,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,193.1158754,1401.693923,36000,4,1,4982,4982,6,1350,5.993332863,5.993332863,0,5.993332863,0,35.95999718 +4982,MN,921,43,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,338 EAST 15 STREET,R8A, , , , , , , , , ,N,D3,3,0, ,15TH ASSOCIATES LLC,4337,24472,0,24472,0,0,0,0,0,0,2,1,7,39,39,42,103.25,42,94, ,3,N,5,2,235350,2404800,0,0,1910,1986,0, , ,5.64,6,0,6,1,1009210043,0,48,988946,206037,12c, ,102 037,10309, ,0, ,1, , 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,17V1.1,0,269.7495556,2727.412013,1318050,0,0,4987,4987,12,2700,35.79199982,40.91222,5.120220184,36.21868483,1.4151541,434.624218 +4987,MN,884,27,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,137 EAST 28 STREET,R8B,C6-2A, , , , , , , , ,Y,D4,3,0, ,28 ST TENANTS CORP,4444,28617,0,28617,0,0,0,0,0,0,2,1,9,37,37,45,98.75,45,81, ,2,N,5,2,508500,3005100,30680,30680,1927,1986,0, , ,6.44,4,0,4,1,1008840027,0,72,989270,209842,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,290.4472032,4614.454277,2496600,11,0,4988,4988,20,4500,31.56888962,34.54444504,2.97555542,32.49550056,1.291357432,649.9100113 +4988,MN,227,22,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,47 GRAND STREET,M1-5A, , , , , , , , , ,N,K1,5,0, ,WEST BROADWAY 330 LLC,2940,3495,3495,0,0,3495,0,0,0,0,2,1,1,0,3,34.67,84.33,35,84, ,2,Y,3,0,153900,3187350,0,0,1920,0,0, , ,1.19,0,5,6.5,1,1002270022,0,47,983124,202432,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,249.2857637,3268.844678,3033450,0,1,4989,4989,13,2925,9.686666489,9.686666489,0,9.686666489,0,125.9266644 +4989,MN,406,20,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,528 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,528 EAST 13TH STREET,2581,10375,0,10375,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,82, ,3,N,5,2,405000,1114650,0,0,1900,1988,0, , ,4.02,4,0,4,1,1004060020,0,34,989886,204861,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.992456,2674.906301,709650,12,1,4990,4990,12,2700,11.35888863,13.67533302,2.316444397,11.89911087,0.940518829,142.7893305 +4990,MN,277,10,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,93 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,93 MADISON LLC,2539,10957,1900,9057,0,1900,0,0,0,0,2,1,6,17,18,25.25,100.58,25,88, ,2,N,5,2,171000,571050,0,0,1900,1983,0, , ,4.32,3.44,0,6.5,1,1002770010,0,8,985451,198829,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,256.7246166,2646.118106,400050,16,0,4991,4991,12,2700,25.33333397,25.33333397,0,25.33333397,0,304.0000076 +4991,MN,615,9,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,317 WEST 4 STREET,R6, , , , , , , , , ,N,C0,2,0, ,JOHN BEAL LIMITED PA,1502,4559,0,3306,0,0,0,0,0,0,2,1,3,3,3,20,75.17,20,74,E,3,N,5,1,79508,246899,0,0,1910,0,0,Greenwich Village Historic District, ,3.04,2.43,0,4.8,1,1006150009,0,77,983244,207931,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,194.1931388,1507.459034,167391,8,0,4992,4992,7,1575,23.05999947,23.05999947,0,23.05999947,0,161.4199963 +4992,MN,586,1,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,36 BEDFORD STREET,R6, , , , , , , , , ,N,C3,2,0, ,PANDA LAIR LLC,1875,3995,0,3995,0,0,0,0,0,0,2,1,3,4,4,25,75,20,48,E,2,N,5,5,146247,309264,0,0,1915,0,0,Greenwich Village Historic District Exte, ,2.13,2.43,0,4.8,1,1005860001,0,67,983155,205317,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,200.4556527,1820.808193,163017,9,0,4993,4993,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +4993,MN,621,54,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,62 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,"BRECHT, SEBASTIAN",1902,3938,0,2929,0,0,0,0,0,0,2,1,3,3,3,20,95.08,20,48,E,3,N,5,1,35743,150729,0,0,1899,0,0,Greenwich Village Historic District, ,2.07,2.43,0,4.8,1,1006210054,0,73,983228,207162,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,232.9376735,1949.936929,114986,8,0,4994,4994,9,2025,24.81222343,28.61666679,3.804443359,26.25397555,1.372481218,236.28578 +4994,MN,502,6,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,98 THOMPSON STREET,R7-2,M1-5A, , , , , , , , ,Y,C7,4,0, ,"ROSENBLUM, BERNICE",4742,21190,1232,19958,0,1232,0,0,0,0,2,1,6,38,42,50,94.83,50,78, ,3,N,5,2,495000,3762900,0,0,1900,2014,0,Sullivan-Thompson Historic District, ,4.47,3.44,0,6.5,1,1005020006,0,49,983722,203548,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,299.6042263,5060.646479,3267900,0,0,4995,4995,22,4950,12.81888866,14.31766701,1.498778343,12.88701495,0.312193873,283.514329 +4995,MN,585,14,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,2 1/2 GROVE STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,2.5 GOLF SIERRA LLC,1024,2064,0,2064,0,0,0,0,0,0,2,1,3,1,1,20.83,49.17,20.83,30,E,2,N,5,2,30231,130431,0,0,1901,2012,0,Greenwich Village Historic District, ,2.02,3.44,2,6.5,1,1005850014,0,73,982555,206059,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,149.4835726,1161.061324,100200,9,0,4996,4996,6,1350,19.35111046,20.40222168,1.051111221,19.6770366,0.462869603,118.0622196 +4996,MN,871,50,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,140 EAST 16 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"SHIMURA, TOMOHIKO",2581,6718,0,6718,0,0,0,0,0,0,2,1,5,34,34,25,103.25,25,66,E,2,N,5,2,157950,1103850,0,0,1910,0,0, , ,2.6,4,0,4,1,1008710050,0,50,987853,206947,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,269.1740868,2894.842409,945900,5,0,4997,4997,12,2700,33.78900146,35.30666733,1.517665863,34.1292607,0.517095624,409.5511284 +4997,MN,195,9,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3B,79 WALKER STREET,C6-2A, , , , , , , , , ,N,O2,5,0,P,JC WALKER LLC,3597,21582,21582,0,21582,0,0,0,0,0,2,1,6,0,2,36,100,36,100, ,2,N,3,2,192150,1436400,0,0,1920,1985,0,Tribeca East Historic District, ,6,6.02,6,6.5,1,1001950009,0,31,983727,200899,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,287.2671014,4079.899621,1244250,14,0,4998,4998,19,4275,15.13333321,17.21888924,2.08555603,15.37602329,0.602195051,292.1444426 +4998,MN,201,29,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,60 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,1-3 ELIZABETH REALTY,1610,9660,1610,8050,0,1610,0,0,0,0,2,1,5,20,21,23,70,23,70, ,3,N,3,1,156150,674100,0,0,1910,1988,0, , ,6,3.44,6,6.5,1,1002010029,0,29,984876,199969,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,192.9310096,1740.323785,517950,14,0,4999,4999,8,1800,33.0379982,33.0379982,0,33.0379982,0,264.3039856 +4999,MN,437,46,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,413 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,413 EAST 9TH STREETAS,2306,7107,0,7107,0,0,0,0,0,0,2,1,5,24,24,25,92.25,25,55, ,3,N,5,2,220500,1441350,0,0,1900,0,0, , ,3.08,4,0,4,1,1004370046,0,34,988686,204526,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,243.4192387,2488.273465,1220850,12,0,5000,5000,11,2475,17.51666641,20.20555496,2.68888855,18.40848455,1.192087537,202.49333 +5000,MN,611,35,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,169 WEST 10 STREET,C2-6, , , , , , , , , ,N,K1,5,0,P,AWAN ABDUL J,25,50,50,0,0,50,0,0,0,0,2,1,1,0,1,6,10.25,6,10.25, ,0,Y,3,5,18000,20700,0,0,1905,2010,0,Greenwich Village Historic District, ,2,3.44,2,6.5,1,1006110035,0,73,983662,206858,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,25.17852802,26.43562331,2700,8,0,0,0,0,0,0,0,0,0,0,0 +5001,MN,471,34,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,174 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"KIN CHUNG AU-YEUNG, A",2467,12989,740,12249,0,740,0,0,0,0,2,1,7,16,17,26.08,99.75,26,92, ,3,Y,5,2,102150,449550,0,0,1900,0,0, , ,5.27,6.02,6,6.5,1,1004710034,0,41,985143,201577,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,256.9925359,2676.762828,347400,0,0,5001,5001,12,2700,29.42099953,29.9584446,0.537445068,29.50688855,0.192265708,354.0826626 +5002,MN,277,54,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,37 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,LAU & SONS REALTY,2840,13290,2250,11040,0,2250,0,0,0,0,2,1,6,22,23,27,106.25,27,92, ,3,Y,5,2,123750,471600,0,0,1920,0,0, , ,4.68,3.44,0,6.5,1,1002770054,0,8,985155,198806,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,267.9362819,2793.229966,347850,16,0,5002,5002,13,2925,21.55400085,23.73111153,2.177110672,21.96680421,0.785932758,285.5684547 +5003,MN,416,24,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,163 ALLEN STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,163 ALLEN ST CORP,2200,9147,1829,7318,0,1829,0,0,0,0,2,1,5,8,9,25,88,25,89,E,3,N,5,2,67780,266786,0,0,1900,0,0, , ,4.16,4,4,4,1,1004160024,0,3601,987081,202033,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,230.6688601,2218.775455,199006,13,0,5003,5003,9,2025,35.94111252,39.0854454,3.144332886,36.29048284,0.988168491,326.6143456 +5004,MN,434,14,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,100 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,100 EAST 7TH STREET L,2271,9570,700,8870,0,0,0,700,0,0,2,1,5,16,18,25,90.83,25,78, ,3,N,5,2,115650,667800,0,0,1900,1989,0,East Village/Lower East Side Historic Di, ,4.21,4,0,4,1,1004340014,0,32,988360,203963,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,234.5993685,2239.186022,552150,12,0,5004,5004,9,2025,18.26222229,20.16222191,1.899999619,18.47333336,0.597112273,166.2600002 +5005,MN,694,58,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,536 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,E7,6,0,P,U-HAUL INTNL INC,14812,42640,42640,0,0,0,14214,28426,0,0,2,1,3,0,1,150,98.75,150,98.75, ,0,N,5,5,832500,2270250,0,0,1934,0,0, , ,2.88,7.52,6,7.5,1,1006940058,0,99,982565,211862,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,496.3500346,14708.82414,1437750,2,1,5005,5005,65,14625,6.936999798,8.551111221,1.614111423,7.021924606,0.311659598,456.4250994 +5006,MN,205,7,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,112 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,SMART MERCHANTS INCOR,2600,9315,1500,7815,0,1500,0,0,0,0,2,1,5,16,18,25.92,100.33,26,73, ,2,N,5,2,164250,1566450,0,0,1920,0,0, , ,3.58,6.02,6,6.5,1,1002050007,0,41,984788,200675,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,257.5074049,2668.208629,1402200,0,0,5006,5006,12,2700,31.4109993,36.62888718,5.217887878,33.27280458,2.23305218,399.2736549 +5007,MN,425,43,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,6 DELANCEY STREET,C6-1, , , , , , , , , ,N,K2,5,0, ,6 DELANCEY RLTY CORP,3033,4500,4500,0,0,4500,0,0,0,0,2,1,2,0,1,40,75.83,40,76, ,3,N,5,2,315000,1156050,0,0,1920,1984,1998, , ,1.48,3.44,6,6.5,1,1004250043,0,18,986095,201750,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,232.9094163,3074.534437,841050,13,0,5007,5007,14,3150,38.80888748,38.80888748,0,38.80888748,0,543.3244247 +5008,MN,452,9,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,304 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,304-306 EAST 11TH STR,2843,11525,0,11525,0,0,0,0,0,0,2,1,5,20,20,30,94.75,30,84, ,3,N,5,2,219600,1027800,0,0,1900,1984,0, , ,4.05,4,0,4,1,1004520009,0,40,988158,205214,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.3853369,2853.366235,808200,12,0,5008,5008,13,2925,22.86222267,28.56888962,5.706666946,23.33639365,1.515370211,303.3731174 +5009,MN,607,33,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,118 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,MITCHELL LICHTENSTEIN,2478,6000,0,4360,0,0,0,0,0,0,2,1,2,1,1,24,103.25,24,45,E,3,N,5,1,43901,189907,0,0,1899,0,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006070033,0,71,984619,207472,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,257.5750616,2544.932593,146006,8,0,5009,5009,11,2475,21.80333328,23.8722229,2.068889618,22.37757579,0.862623439,246.1533337 +5010,MN,173,7501,101,33,1006,2,1,10013,L001,1,15,7700,3,1, ,66 LEONARD STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,12056,136112,23596,112516,0,6935,16661,0,0,0,2,1,14,47,48,0.27,0,0,0, ,0,N,0,5,2375102,16380903,19290,19290,1900,0,0,Tribeca East Historic District, ,11.29,6.02,6,6.5,1,1001737501,1157,33,982684,200626,12a, ,11S 033,10105, ,1001730013,2/14/2001,1, , ,17V1.1,7,457.1905606,12375.53658,14005800,14,0,5010,5010,54,12150,21.61333275,24.35333252,2.739999771,21.75104879,0.516949571,1174.556635 +5011,MN,719,41,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,189 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,K2,5,0, ,LANGER 189 LLC,1208,1636,1636,0,0,1636,0,0,0,0,2,1,2,0,1,18.58,65,18.58,60, ,0,N,5,5,45000,829350,0,0,1910,0,0,Chelsea Historic District, ,1.35,3,0,3,1,1007190041,0,89,983601,210905,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,172.4979222,1294.90983,784350,7,1,5011,5011,6,1350,9.307999611,9.307999611,0,9.307999611,0,55.84799767 +5012,MN,532,23,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,647 BROADWAY,C6-2, , , , , , , , , ,N,L8,6,0, ,645-47 BROADWAY REALT,1916,10600,3400,7200,0,1800,0,0,0,1600,2,1,5,4,5,25.5,75,25.5,66, ,3,Y,5,2,229050,1490400,0,0,1900,0,0,NoHo Historic District, ,5.53,6.02,6,6.5,1,1005320023,0,5501,985389,204093,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,211.8464014,2056.850498,1261350,9,0,5012,5012,9,2025,35.57088852,35.57088852,0,35.57088852,0,320.1379967 +5013,MN,884,87,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,411 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,K4,4,0, ,411-413 PARK AVE S. R,4043,12678,7782,4896,0,7782,0,0,0,0,2,1,4,8,11,45.33,84.17,44,95,E,3,Y,5,2,1017000,2231550,0,0,1930,1987,0, , ,3.14,10,10,10,1,1008840087,0,72,988814,210170,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,295.293653,4150.853914,1214550,11,0,5013,5013,18,4050,32.07600021,40.54777908,8.47177887,33.13593843,2.58051972,596.4468918 +5014,MN,723,7502,104,93,1000,2,3,10001,L024,10,15,5200,2,4, ,401 WEST 25 STREET,R8, , , ,C1-5, , , , , ,N,RM,4,0, , ,9875,135533,13549,121984,0,8354,5195,0,0,0,2,1,22,168,169,100,98.75,0,0, ,0,N,0,5,1350000,17160300,938118,16748418,2011,0,0, , ,13.72,6.02,0,6.5,1,1007237502,2189,93,984094,211827,8d, ,105S008,10302, ,1007230034,2/9/2012,1, , ,17V1.1,7,412.3611938,10621.50338,15810300,2,0,5014,5014,46,10350,19.1744442,21.45711136,2.28266716,20.41978256,0.588601821,939.3099976 +5015,MN,572,2,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,404 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K4,4,0,P,404 NY LLC,1571,4762,3142,1620,0,3142,0,0,0,0,2,1,4,2,4,20.25,77.58,20,77,E,3,N,5,2,388350,890100,0,0,1920,2007,0,Greenwich Village Historic District, ,3.03,3.44,3.4,6.5,1,1005720002,0,63,984475,206564,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,205.8887912,1792.506897,501750,8,0,5015,5015,9,2025,18.70499992,19.01833344,0.313333511,18.73981476,0.098471223,168.6583328 +5016,MN,873,15,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,51 IRVING PLACE,R8A, , , , , , , , , ,N,D6,4,0, ,IRVING FIFTY ONE LLC,7900,42476,3970,38506,0,3970,0,0,0,0,2,2,6,56,58,79,100,79,94, ,2,N,3,5,1053000,6845400,0,0,1969,1989,0, , ,5.38,6,0,6,1,1008730015,0,50,987704,207477,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,374.7868745,8637.023512,5792400,5,0,5016,5016,37,8325,34.90100098,35.0616684,0.160667419,34.90534334,0.026054176,1291.497704 +5017,MN,897,11,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,213 EAST 15 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,ITANA LLC,2478,5976,0,5976,0,0,0,0,0,0,2,1,4,6,6,24,103.25,24,62.25, ,0,N,5,5,118572,558126,0,0,2010,1960,0, , ,2.41,3,0,3,1,1008970011,0,48,988185,206642,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,253.969757,2471.629192,439554,5,0,5017,5017,9,2025,27.7444458,31.41333389,3.668888092,28.70000097,1.500946264,258.3000088 +5018,MN,859,36,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,47 EAST 29 STREET,C6-4A, , , , , , , , , ,N,K2,5,0, ,MODDC VENTURE LLC,1975,3790,3790,0,0,3790,0,0,0,0,2,1,2,0,1,20,98.75,20,99,E,3,N,5,2,240750,1286550,0,0,1915,1982,0, , ,1.92,10,10,10,1,1008590036,0,74,988700,210451,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,248.3428793,2077.473361,1045800,11,0,5018,5018,10,2250,37.60300064,40.06000137,2.457000732,38.59752312,0.926802542,385.9752312 +5019,MN,443,36,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,19 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,19 FIRST AVE LLC,1269,2848,712,2136,0,712,0,0,0,0,2,1,4,3,4,16.92,75,17,38, ,3,N,5,5,48772,72400,0,0,1910,0,0, , ,2.24,4,0,4,1,1004430036,0,3602,987422,202913,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,189.4323755,1321.177657,23628,1,0,5019,5019,6,1350,31.19000053,31.19000053,0,31.19000053,0,187.1400032 +5020,MN,419,40,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,110 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,110 FORSYTH STREET HD,5000,20798,3466,17332,0,3466,0,0,0,0,2,1,6,25,31,100,50.17,48,98, ,2,Y,3,2,360000,962100,360000,385257,1900,0,0, , ,4.16,4,4,4,1,1004190040,0,18,986375,201216,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,317.901336,5576.740205,602100,13,0,5020,5020,25,5625,39.86888886,42.13888931,2.270000458,39.96642212,0.444676017,999.160553 +5021,MN,743,29,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,319 WEST 19 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,GWENN KIRSCHNER,1963,4032,0,2940,0,0,0,0,0,0,2,1,3,2,2,21.33,92,21.33,44,E,2,N,5,1,46403,137968,0,0,1910,0,0, , ,2.05,3,0,3,1,1007430029,0,89,983981,210105,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,229.9312704,2016.659577,91565,7,0,5021,5021,9,2025,15.57888889,20.65999985,5.081110954,17.0038272,2.056442297,153.0344448 +5022,MN,573,35,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,14 WEST 10 STREET,R6, , , , , , , , , ,N,D1,3,0,P,JALST REALTY CORP,3332,9196,0,9196,0,0,0,0,0,0,2,1,4,10,10,36,92.25,36,65, ,3,N,5,2,251874,942398,0,0,1900,1985,0,Greenwich Village Historic District, ,2.76,2.43,0,4.8,1,1005730035,0,63,985220,206555,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,258.9326802,3364.650801,690524,8,0,5022,5022,16,3600,18.98099899,26.4822216,7.50122261,20.56443679,2.45829162,329.0309887 +5023,MN,620,44,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,355 BLEECKER STREET,C1-6,R6, , , , , , , , ,Y,S3,4,0, ,355 BLEECKER REALTY I,1707,3948,1316,2632,0,1316,0,0,0,0,2,1,3,3,4,17,100,17,86,E,3,N,5,5,217537,496229,0,0,1900,0,0,Greenwich Village Historic District, ,2.31,3.44,2,6.5,1,1006200044,0,73,983031,206827,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,246.0349549,1858.962831,278692,9,0,5023,5023,8,1800,24.70777702,24.70777702,0,24.70777702,0,197.6622162 +5024,MN,406,2,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,196 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,AVENUE A CORNER OWNER,1200,3664,600,3064,0,600,0,0,0,0,2,1,4,3,4,23.08,52,23,38, ,3,N,5,5,24127,192786,0,0,1910,0,0, , ,3.05,4,0,4,1,1004060002,0,34,989516,204930,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,155.0726896,1316.159984,168659,12,0,5024,5024,7,1575,13.0880003,17.10111046,4.013110161,13.66130175,1.404296025,95.62911224 +5025,MN,886,28,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,165 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,"PROFESSSIONAL COMM.,L",2194,4390,1500,2890,0,1500,0,0,0,0,2,1,4,3,4,21.92,100,22,88, ,3,N,5,5,251128,583783,0,0,1900,1985,0, , ,2,6.02,6,6.5,1,1008860028,0,72,989475,210325,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,253.6898516,2460.109976,332655,10,0,5025,5025,11,2475,28.17889023,31.09111023,2.912220001,29.06612206,1.203830534,319.7273426 +5026,MN,575,130,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,50 WEST 12 STREET,R6, , , , , , , , , ,N,S1,4,0, ,"HACKETT, JR., AS TRU",2168,4872,1218,3654,0,0,0,0,0,1218,2,1,4,1,2,21,103.25,21,58, ,3,N,5,2,127841,246176,0,0,1900,1991,0,Greenwich Village Historic District, ,2.25,2.43,0,4.8,1,1005750130,0,63,985223,207137,12c, ,103 020,10207, ,1005750130,12/16/1985,1, , ,17V1.1,0,253.6869947,2167.723294,118335,8,0,5026,5026,10,2250,24.42399979,27.83333397,3.409334183,24.7649332,1.022800255,247.649332 +5027,MN,593,26,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,389 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K4,4,0, ,WALSAM SIXTH AVE CO,1760,5720,3080,2640,1320,1760,0,0,0,0,2,1,4,3,5,22,80,22,60, ,3,N,5,2,359550,1228500,0,0,1900,0,0,Greenwich Village Historic District, ,3.25,3.44,3.4,6.5,1,1005930026,0,71,984198,206424,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,216.8886143,1926.358226,868950,8,0,5027,5027,8,1800,17.50333405,17.50333405,0,17.50333405,0,140.0266724 +5028,MN,132,1,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,65 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,WESTBROAD COMPANY,3092,18500,18500,0,16500,2000,0,0,0,0,2,1,6,0,19,24.4,125.67,24,125, ,3,Y,3,2,235800,3673350,0,0,1890,0,0, , ,5.98,6.02,6,6.5,1,1001320001,0,21,981445,199652,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,317.8513998,3511.193207,3437550,3,0,5028,5028,17,3825,17.95000076,21.0933342,3.143333435,18.35418376,0.951159355,312.0211239 +5029,MN,606,71,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,445 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,C7,4,0,P,SOLAN HLDG CP,1530,4386,1372,3014,0,1372,0,0,0,0,2,2,3,7,14,69.33,13.75,69.33,13.75, ,3,Y,3,0,225000,1055250,0,0,1910,0,0,Greenwich Village Historic District, ,2.87,3.44,2,6.5,1,1006060071,0,71,984578,207054,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,185.9253783,1585.562985,830250,8,0,5029,5029,7,1575,20.06222153,20.06222153,0,20.06222153,0,140.4355507 +5030,MN,521,26,102,55.02,2009,2,1,10012,L009,9,15,5700,1,2,1G,302 MOTT STREET,C6-3, , , , , ,LI, , , ,N,C1,2,0, ,SCHULMANN PROPERTIES,4990,20227,0,20227,0,0,0,0,0,0,2,1,6,48,48,60.83,83.58,61,70.92, ,2,N,5,2,390600,2420100,0,0,1905,2015,0, , ,4.05,7.52,6,10,1,1005210026,0,5502,985955,203370,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,294.3346786,5278.72387,2029500,9,0,5030,5030,24,5400,43.92300034,45.5233345,1.600334167,44.14948638,0.414823031,1059.587673 +5031,MN,886,83,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,106 EAST 31 STREET,C6-4A, , , , , , , , , ,N,S5,4,0, ,106 EAST 31 LLC,1876,2968,742,2226,0,742,0,0,0,0,2,1,3,5,6,19,98.75,19,56,E,3,N,5,5,135176,498633,0,0,1910,1987,0, , ,1.58,10,10,10,1,1008860083,0,72,989158,210609,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,238.8379004,1805.025999,363457,10,0,5031,5031,7,1575,33.23199844,33.61288834,0.380889893,33.28641129,0.133283698,233.004879 +5032,MN,146,21,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,134 DUANE STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,RAINES AND FISCHER,8781,38700,6000,32700,0,6000,0,0,0,0,2,1,5,18,20,75,117,75,117, ,0,N,5,2,1035000,3444750,2360,2360,1920,2007,2009,Tribeca South Historic District, ,4.41,6.02,6,6.5,1,1001460021,0,33,982122,200127,12a, ,101S017,10104, ,1001460023,12/28/1988,1, , ,17V1.1,0,394.1847254,9209.276929,2409750,14,0,5032,5032,42,9450,16.87777901,21.7033329,4.825553894,17.10674717,1.023983665,718.4833813 +5033,MN,623,39,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,294 WEST 4 STREET,R6, , , , , , , , , ,N,C0,2,0, ,KRAMER DANIEL R,1200,3486,0,2604,0,0,0,0,0,0,2,1,3,3,3,20,60,20,42,E,3,N,5,1,52198,169603,0,0,1899,0,0,Greenwich Village Historic District, ,2.91,2.43,0,4.8,1,1006230039,0,77,983185,207644,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,170.0488079,1347.502555,117405,8,0,5033,5033,5,1125,23.62700081,27.43744469,3.810443878,24.38908958,1.524177551,121.9454479 +5034,MN,863,81,105,74,1002,2,4,10016,L024,14,15,5200,1,5,2B,349 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,349 FIFTH AVENUE LLC,5925,52220,52220,0,40615,11605,0,0,0,0,2,1,8,0,8,59.25,100,59,100, ,3,N,3,2,2925000,8920350,0,0,1904,2011,0, , ,8.81,10,10,10,1,1008630081,0,74,988573,211840,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,345.7513545,6983.769604,5995350,10,0,5034,5034,31,6975,50.11500168,53.42222214,3.307220459,50.67238457,1.012684536,1570.843922 +5035,MN,229,32,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,23 GREENE STREET,M1-5B, , , , , , , , , ,N,S5,4,0, ,JJS REAL ESTATE,4025,17800,3000,14800,0,3000,0,0,0,0,2,1,5,5,6,40,100,40,100, ,0,Y,5,5,91906,1531764,0,0,1920,2009,2009,SoHo-Cast Iron Historic District, ,4.42,0,5,6.5,1,1002290032,0,47,983464,202050,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,284.1555825,4045.399472,1439860,0,1,5035,5035,18,4050,9.686666489,9.686666489,0,9.686666489,0,174.3599968 +5036,MN,569,31,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,25 EAST 11 STREET,R7-2, , , , , , , , , ,N,C3,2,0,P,CHARLES J MIRISOLA,2728,7698,0,7698,0,0,0,0,0,0,2,1,5,4,4,26.42,103.25,27,62,E,3,N,5,5,502456,763434,0,0,1900,1987,0,Greenwich Village Historic District, ,2.82,3.44,0,6.5,1,1005690031,0,61,985974,206601,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,262.6689894,2723.105031,260978,8,0,5036,5036,11,2475,34.37900162,34.48444366,0.105442047,34.38858726,0.030312457,378.2744598 +5037,MN,199,19,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,87 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,GM 87 REALTY LLC,2458,10693,1125,9568,0,1125,0,0,0,0,2,2,5,24,25,24.58,100,25,50, ,3,N,5,2,155700,538650,0,0,1920,1986,0, , ,4.35,3.44,6,6.5,1,1001990019,0,29,984494,200395,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,254.597065,2513.700917,382950,14,0,5037,5037,10,2250,22.37599945,22.37599945,0,22.37599945,0,223.7599945 +5038,MN,483,13,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,514 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,SOHO PLAZA CORP,14015,76550,13000,63550,0,13000,0,0,0,0,2,1,6,40,42,37.5,200,37.5,200, ,3,Y,5,2,945000,11652300,26370,26370,1900,2004,2015,SoHo-Cast Iron Historic District, ,5.46,0,5,6.5,1,1004830013,0,45,984637,202480,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,622.7524681,14478.22298,10707300,0,0,5038,5038,64,14400,24.68222237,29.61777878,4.935556412,24.75934044,0.612105696,1584.597788 +5039,MN,887,9,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,111 EAST 31 STREET,C4-5A,C6-4A, , , , , , , , ,Y,D6,4,0, ,OY & Z LLC,2173,7851,1200,6651,0,1200,0,0,0,0,2,1,5,8,9,22,98.75,22,90,E,3,N,5,2,101328,798744,0,0,1920,1986,0, , ,3.61,4,4,4,1,1008870009,0,72,989252,210734,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,252.0577816,2288.605555,697416,10,0,5039,5039,11,2475,29.31800079,29.31800079,0,29.31800079,0,322.4980087 +5040,MN,527,57,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,50 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0, ,"50 CARMINE STREET,",2000,8985,1500,7485,0,1500,0,0,0,0,2,1,6,15,16,25,80,25,66, ,3,N,5,2,135000,1894950,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.49,2.43,0,4.8,1,1005270057,0,67,983280,205157,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,216.6465243,2132.794855,1759950,9,0,5040,5040,11,2475,15.38333321,15.38333321,0,15.38333321,0,169.2166653 +5041,MN,824,37,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,174 5 AVENUE,C6-4M, , , , , , , , , ,N,O5,5,0, ,"SANDER, CAROL",4290,21588,21588,0,18088,3500,0,0,0,0,2,2,6,0,20,42.75,100,43,100,E,3,N,5,2,765000,2725200,0,0,1900,0,0,Ladies' Mile Historic District, ,5.03,10,10,10,1,1008240037,0,58,986952,209311,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,295.6960176,4468.878045,1960200,2,0,5041,5041,21,4725,34.46500015,34.46500015,0,34.46500015,0,723.7650032 +5042,MN,640,73,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,38 BETHUNE STREET,R6, , , , , , , , , ,N,A5,1,0, ,"RSLS REALTY HOLDINGS,",1760,5280,0,5280,0,0,0,0,0,0,2,1,3,1,1,22.42,80.42,22.42,80.42,E,3,Y,5,0,19584,65435,0,0,1900,2005,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1006400073,0,79,982137,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,210.5347318,1862.19247,45851,8,0,5042,5042,10,2250,11.96800041,11.96800041,0,11.96800041,0,119.6800041 +5043,MN,610,21,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2K,184 WAVERLY PLACE,R6, , , , , , , , , ,N,S5,4,0, ,TENTH & WAVERLY LLC,1995,5985,900,5085,0,900,0,0,0,0,2,3,3,5,6,23.33,85.5,23,54, ,0,N,3,5,256125,420945,0,0,1900,1987,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1006100021,0,73,983809,206822,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,225.7212703,2158.283196,164820,8,0,5043,5043,9,2025,20.06299973,21.74111176,1.67811203,20.58916028,0.745647087,185.3024426 +5044,MN,625,65,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,289 WEST 12 STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,BERNARDO FELIX,1062,2727,400,2327,0,400,0,0,0,0,2,1,4,10,10,18,59,18,59,E,3,N,5,2,48028,229271,0,0,1910,0,0,Greenwich Village Historic District, ,2.57,3.44,2,6.5,1,1006250065,0,77,983085,208043,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,152.7771316,1025.920549,181243,8,0,5044,5044,4,900,20.9066658,20.9066658,0,20.9066658,0,83.62666321 +5045,MN,307,18,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,297 GRAND STREET,C6-1G, , , , , , , , , ,N,O2,5,0,P,BEIJING GOLDEN PAGODA,1275,6426,6426,0,4166,2260,0,0,0,0,2,1,4.5,0,4,17,75,17,70, ,3,N,5,2,84600,380250,0,0,1910,1979,2005, , ,5.04,3.44,6,6.5,1,1003070018,0,16,986460,200640,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,186.6410676,1230.286807,295650,13,0,5045,5045,5,1125,39.60333252,39.60333252,0,39.60333252,0,198.0166626 +5046,MN,738,18,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,331 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D4,3,0, ,331 W 14TH ST CORP,3125,13550,0,13550,0,0,0,0,0,0,2,1,7,24,24,25,125,25,82,E,3,N,5,1,149400,1673550,7080,7080,1900,1983,0, , ,4.34,6.02,6,6.5,1,1007380018,0,83,983176,209119,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,312.5208359,3281.499373,1524150,7,0,5046,5046,16,3600,16.15333366,20.08888817,3.935554504,17.2884028,1.606353088,276.6144447 +5047,MN,606,89,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,4 PATCHIN PLACE,R6,C1-6, , , , , , , , ,Y,B1,1,0, ,"PATCHIN PLACE, LLC",1421,2160,0,2160,0,0,0,0,0,0,2,1,3,2,2,18.5,78.67,68.25,78.67, ,2,Y,5,2,29133,145152,0,0,1910,0,0,Greenwich Village Historic District, ,1.52,2.43,0,4.8,1,1006060089,0,71,984383,207061,12c, ,103 017,10209, ,0, ,1, , 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,17V1.1,0,219.8797056,2046.815401,839250,8,0,5049,5049,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +5050,MN,486,9,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,80 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,FLUXHOUSE CORP #2,5250,33250,1900,31350,0,1900,0,0,0,0,2,1,7,10,11,50,100,50,96, ,3,N,5,2,236250,3489300,16930,16930,1900,0,0,SoHo-Cast Iron Historic District, ,6.33,0,5,6.5,1,1004860009,0,49,983904,202922,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,325.2510578,5489.138553,3253050,0,0,5050,5050,23,5175,11.1744442,16.34000015,5.165555954,11.42935243,1.05654777,262.8751059 +5051,MN,455,40,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,223 1 AVENUE,C1-7A, , , , , , , , , ,N,S3,4,0, ,223 FIRST AVE REALTY,1600,4180,1045,3135,0,1045,0,0,0,0,2,1,4,3,4,20,80,20,80,E,3,N,5,5,239123,323394,0,0,1910,1986,0, , ,2.61,6.02,2,6.5,1,1004550040,0,40,988903,205592,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,207.0183583,1718.587796,84271,12,0,5051,5051,7,1575,22.17099953,22.17099953,0,22.17099953,0,155.1969967 +5052,MN,425,13,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,207 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,BOWERY SUN REALTY LLC,2634,19239,10832,8407,5416,5416,0,0,0,0,2,1,7,4,7,27.25,100.5,27,100, ,3,Y,5,2,247500,2142900,0,0,1920,2004,2004, , ,7.3,3.44,6,6.5,1,1004250013,0,18,986113,202040,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,256.927106,2773.741407,1895400,0,0,5052,5052,12,2700,38.80888748,38.80888748,0,38.80888748,0,465.7066498 +5053,MN,567,5,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,29 5 AVENUE,R10, , , , , , , , , ,N,D9,3,0, ,29 .,2633,16247,1000,15247,1000,0,0,0,0,0,2,1,7,16,17,26.33,100,26,85, ,3,N,5,2,206100,1499850,0,0,1920,1986,0,Greenwich Village Historic District, ,6.17,10,0,10,1,1005670005,0,59,985538,206356,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,258.9274627,2720.87526,1293750,8,0,5053,5053,11,2475,27.86444473,27.86444473,0,27.86444473,0,306.5088921 +5054,MN,466,44,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,127 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,MARKO GNANN,2300,6273,0,6273,0,0,0,0,0,0,2,1,4,8,8,23,100,23,54, ,3,N,5,2,88717,354474,0,0,1900,0,0,St. Mark's Historic District, ,2.73,4,0,4,1,1004660044,0,40,987677,205369,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,249.9343769,2301.560869,265757,12,0,5054,5054,10,2250,32.08111191,35.67111206,3.590000153,33.21466751,1.418109796,332.1466751 +5055,MN,518,35,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,146 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,BUSWELL MANAGEMENT CO,2502,10608,1110,9498,400,710,0,0,0,0,2,1,6,22,24,25,100.08,25,85, ,3,N,5,2,234450,2034000,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.24,3.44,0,6.5,1,1005180035,0,49,983676,204220,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,252.0218879,2600.239182,1799550,9,0,5055,5055,11,2475,20.52111053,20.52111053,0,20.52111053,0,225.7322159 +5056,MN,508,1,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,246 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,M & E MOTT LLC,9050,40788,7800,32988,0,7800,0,0,0,0,2,4,6,74,82,100,90.5,100,78, ,3,Y,5,2,268200,7988400,0,0,1897,2015,2001, , ,4.51,6.02,6,6.5,1,1005080001,0,43,985773,202813,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,390.5614602,9541.641066,7720200,9,0,5056,5056,42,9450,43.06000137,44.6269989,1.566997528,43.7442676,0.727609117,1837.259239 +5057,MN,414,18,103,18,7000,2,1,10002,L006,5,14,7400,1,3,2B,61 DELANCEY STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,BCD DELANCEY LLC,2182,11543,1924,9619,0,1924,0,0,0,0,2,1,6,15,19,88,89.08,87,25, ,2,Y,3,2,270000,2178900,0,0,1900,0,0, , ,5.29,6.02,6,6.5,1,1004140018,0,18,986782,201265,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.1026017,2376.590077,1908900,13,0,5057,5057,11,2475,37.8544426,39.41444397,1.560001373,38.21676636,0.59857162,420.3844299 +5058,MN,744,31,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,311 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,311 W 20TH ST HSNG CO,2300,6375,0,6375,0,0,0,0,0,0,2,2,4,5,5,25,92,25,40, ,3,N,5,2,128900,546733,4720,4720,1850,0,0, , ,2.77,3,0,3,1,1007440031,0,89,984119,210307,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,239.1420856,2472.82991,417833,7,0,5058,5058,12,2700,15.84222221,15.84222221,0,15.84222221,0,190.1066666 +5059,MN,885,30,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,131 EAST 29 STREET,C6-2A,R8B, , , , , , , , ,Y,C3,2,0, ,ROBERT J KLIMECKI,1975,4220,0,4220,0,0,0,0,0,0,2,1,4,4,4,20,98.75,20,52, ,3,N,5,5,248134,416418,0,0,1915,1987,0, , ,2.14,6.02,6,6.5,1,1008850030,0,72,989388,210072,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,240.1039657,1889.499182,168284,11,0,5059,5059,8,1800,30.56200027,30.56200027,0,30.56200027,0,244.4960022 +5060,MN,8,39,101,9,1015,2,1,10004,L015,1,15,7700,1,1, ,32 PEARL STREET,C5-5, , , , , ,LM, , , ,N,H3,5,0,P,HHLP PEARL STREET ASS,5598,46724,0,0,0,0,0,0,0,0,2,1,7.5,0,1,78.92,57.15,78,57, ,3,Y,3,2,1035000,6029550,0,0,1950,2009,2009, , ,8.35,10,15,15,1,1000080039,0,9,980840,195442,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,297.4319681,4800.340266,4994550,17,1,5060,5060,21,4725,7.425000191,8.418889046,0.993888855,7.605846746,0.34017871,159.7227817 +5061,MN,935,57,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,304 EAST 30 STREET,R7B, , , , , , , , , ,N,S2,4,0, ,304 E 30TH ST HOLDING,2107,2898,966,1932,966,0,0,0,0,0,2,1,3,2,3,21.33,98.75,21.33,45, ,3,N,5,1,93137,164643,0,0,1899,2014,0, , ,1.38,3,0,3,1,1009350057,0,70,990525,209556,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,248.3324937,2361.762115,71506,10,0,5061,5061,11,2475,34.70000076,35.41555405,0.715553284,35.04145536,0.161332779,385.4560089 +5062,MN,281,54,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,21 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,YANG BROTHERS REALTY,1750,4750,3250,1500,1500,1750,0,0,0,0,2,1,3,2,6,25,70,25,70,E,3,Y,5,2,116100,333900,0,0,1910,1987,0, , ,2.71,3.44,6,6.5,1,1002810054,0,8,985238,199383,12d, ,101S029,10107, ,0, ,1, , 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+5065,MN,774,79,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,276 WEST 25 STREET,R8A, , , , , , , , , ,N,K4,4,0, ,MIDTOWN DO IT YRSLFMA,2380,4666,4666,0,2306,2360,0,0,0,0,2,1,2,0,2,19.92,118.5,20,119, ,3,Y,5,0,139500,467550,0,0,1910,1989,0, , ,1.96,6,0,6,1,1007740079,0,91,985026,211122,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,277.826754,2346.431278,328050,2,0,5065,5065,11,2475,24.85199928,26.11000061,1.258001328,24.96636304,0.361649954,274.6299934 +5066,MN,877,89,105,68,3001,2,2,10010,E014,13,14,5300,1,5, ,281 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,M9,8,0,P,281 PAS OWNER LP,5600,33600,33600,0,0,0,0,0,0,33600,2,1,6,0,1,80,70,80,70, ,2,N,3,2,981000,2142000,0,0,1900,1963,0, ,CHURCH MISSIONS HOUSE/NOW PROTESTAN,6,10,10,10,1,1008770089,0,68,987931,208604,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,315.9452055,6223.309725,1161000,11,0,5066,5066,30,6750,26.32111168,33.34000015,7.018888474,27.44428202,2.298450776,823.3284607 +5067,MN,597,12,102,37,1013,2,3,10013,E024,1,15,6800,1,2,1B,78 VANDAM STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,315 HUDSON LLC C/O J,37608,374584,374584,0,366584,8000,0,0,0,0,2,1,10,0,14,200,214,214.42,199.84, ,2,Y,3,2,3622500,31542300,0,0,1907,2013,2015, , ,9.96,0,10,10,1,1005970012,0,37,982036,203878,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,850.2034686,42668.94931,27919800,0,1,5067,5067,188,42300,13.17199993,16.75222206,3.58022213,13.33288291,0.605318091,2506.581986 +5068,MN,885,65,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,155 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,A4,1,0, ,"PATEL, NIRAJ",1500,4125,0,3300,0,0,0,0,0,0,2,1,5,1,1,15,100,15,55, ,3,N,5,1,122947,281232,0,0,1910,1981,0, , ,2.75,6.02,6,6.5,1,1008850065,0,72,989397,210184,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,232.856723,1549.853076,158285,10,0,5068,5068,7,1575,30.56200027,31.91444397,1.352443695,31.06019075,0.58941553,217.4213352 +5069,MN,397,15,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,165 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,I7,8,0,O,ARMI HOUSING CORPORAT,7844,20000,20000,0,0,0,0,0,0,20000,2,1,5,0,1,74.25,105.92,70,50, ,0,N,5,5,400050,2500650,400050,2500650,1996,0,0, , ,2.55,4,0,4,1,1003970015,0,3002,988395,202481,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,367.5845845,8146.681433,2100600,1,0,5069,5069,36,8100,19.55999947,24.5577774,4.997777939,22.00785791,2.009571387,792.2828846 +5070,MN,232,6,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,446 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"KWAN, WAH",5995,27000,27000,0,15900,5800,0,0,0,5300,2,1,5,0,6,50,120.17,50,116,E,3,Y,5,2,394650,4096350,0,0,1915,1988,0,SoHo-Cast Iron Historic District, ,4.5,0,5,6.5,1,1002320006,0,45,984045,201677,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,362.6532072,6506.849339,3701700,0,0,5070,5070,29,6525,14.35888863,17.4822216,3.123332977,14.46658976,0.56990085,419.5311031 +5071,MN,280,37,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,47 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,47 EAST BROADWAY RLTY,1875,9000,7125,1875,3750,3375,0,0,0,0,2,1,5,0,8,25,75,25,75, ,3,N,5,2,138150,553500,0,0,1915,0,0, , ,4.8,3.44,6,6.5,1,1002800037,0,8,985411,199179,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,202.5853413,1803.523134,415350,16,0,5071,5071,8,1800,29.04899979,29.04899979,0,29.04899979,0,232.3919983 +5072,MN,912,59,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,210 EAST 32 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,FALCON ASSOC INC,1646,3332,0,3332,0,0,0,0,0,0,2,1,3,5,5,16.67,98.75,17,48, ,3,N,5,5,223640,375290,0,0,1900,1961,0, , ,2.02,3,0,3,1,1009120059,0,70,990198,210328,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,235.7238016,1693.774419,151650,10,0,5072,5072,7,1575,26.11666679,26.45000076,0.333333969,26.40238162,0.116642591,184.8166714 +5073,MN,590,49,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,281 BLEECKER STREET,R7-2,C2-6, , , , , , , , ,Y,S3,4,0, ,NATALE JOSEPH MONGIOI,1113,5275,950,4325,0,950,0,0,0,0,2,1,4,3,4,25,44.5,25,37.5,E,3,N,3,5,249358,518528,12485,12485,1910,1962,0,Greenwich Village Historic District Exte, ,4.74,3.44,0,6.5,1,1005900049,0,67,983367,205923,12a, ,103 005,10208, ,1005900049,12/8/2005,1, , ,17V1.1,0,162.5215449,1451.073609,269170,9,0,5073,5073,6,1350,19.74111176,20.26666641,0.525554657,19.8287042,0.195862656,118.9722252 +5074,MN,65,2,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1A,63 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K9,5,0, ,APPLE AT NASSAU LLC,1065,4905,4905,0,0,1868,0,3037,0,0,2,1,5.5,0,5,22.5,48.33,23,48, ,3,Y,5,1,178200,393750,0,0,1920,0,0, ,63 NASSAU STREET BUILDING,4.61,10,15,15,1,1000650002,0,1502,981821,197722,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,144.7437733,1120.294986,215550,4,0,5074,5074,6,1350,29.17399979,29.17399979,0,29.17399979,0,175.0439987 +5075,MN,513,39,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,103 PRINCE STREET,M1-5A, , , , , , , , , ,N,K2,5,0, ,103 PRINCE PROPERTY L,9935,28434,28434,0,0,28434,0,0,0,0,2,1,2,0,1,75,124.75,74,122, ,3,Y,3,2,6073650,13381650,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,2.86,0,5,6.5,1,1005130039,0,49,984533,203456,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,463.0821608,10728.98481,7308000,9,0,5075,5075,47,10575,26.62555504,27.7322216,1.106666565,26.70082693,0.251281563,1254.938866 +5076,MN,753,11,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,349 WEST 29 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,CHELSEA 349 LLC,2172,7569,0,7569,0,0,0,0,0,0,2,1,5,10,10,22,98.75,22,73, ,3,N,5,1,154783,723828,0,0,1900,1981,0,Lamartine Place Historic District, ,3.48,4,0,4,1,1007530011,0,97,984888,212564,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,249.3740254,2239.562929,569045,6,0,5076,5076,10,2250,28.20800018,37.00777817,8.799777985,29.94855576,2.901468197,299.4855576 +5077,MN,423,9,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,145 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,145-149 BOWERY LLC,2942,15251,9368,5883,2942,6426,0,0,0,0,2,1,5,2,6,41.17,72.58,41,61, ,3,Y,5,2,382500,1793700,0,0,1920,0,0, , ,5.18,3.44,6,6.5,1,1004230009,0,18,985843,201237,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,232.2074621,3141.582575,1411200,0,0,5077,5077,13,2925,34.16999817,34.16999817,0,34.16999817,0,444.2099762 +5078,MN,385,56,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,228 EAST 2 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,DIVERSITY HOUSES HDFC,5084,19200,0,19200,0,0,0,0,0,0,2,1,5,28,28,48,105.92,48,80, ,0,N,5,5,360000,1757250,0,0,1900,1989,0, , ,3.78,4,0,4,1,1003850056,0,2202,989140,202255,12c, ,102 013,10203, ,1003850057,3/3/1989,1, , ,17V1.1,0,315.1202063,5317.471512,1397250,1,0,5078,5078,23,5175,16.86222267,18.81222343,1.950000763,16.98419845,0.426262346,390.6365643 +5079,MN,587,44,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,59 BARROW STREET,R6, , , , , , , , , ,N,D4,3,0, ,59 61 BARROW ST CORP,2375,12905,0,12905,0,0,0,0,0,0,2,1,4,7,7,42,77.92,42,78, ,3,Y,4,2,396582,1187310,0,0,1931,0,0,Greenwich Village Historic District, ,5.43,2.43,0,4.8,1,1005870044,0,67,982949,205906,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,247.1557082,2456.207025,790728,9,0,5079,5079,11,2475,17.76222229,17.76222229,0,17.76222229,0,195.3844452 +5080,MN,450,47,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,55 ST MARKS PLACE,R8B, , , , , , , , , ,N,C1,2,0, ,55TH ST MRKS PL RL ET,2348,10868,0,10868,0,0,0,0,0,0,2,1,6,12,12,25,93.92,25,76, ,3,N,5,2,225000,690300,0,0,1900,1986,0, , ,4.63,4,0,4,1,1004500047,0,38,987999,204630,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,232.2141786,2309.477638,465300,12,0,5080,5080,11,2475,25.4810009,27.54222107,2.061220169,25.89520281,0.677671968,284.8472309 +5081,MN,537,17,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,68 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,68 WEST 3 LLC,2947,10818,1500,9318,0,1500,0,0,0,0,2,1,5,16,17,25,125,25,100, ,3,Y,5,2,157050,1386450,0,0,1900,0,0,South Village Historic District, ,3.67,3.44,0,6.5,1,1005370017,0,65,984705,204975,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,301.6933829,3005.268649,1229400,9,0,5081,5081,14,3150,27.39777756,29.54999924,2.15222168,27.69293622,0.723720322,387.701107 +5082,MN,912,62,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,204 EAST 32 STREET,R7B,C1-9, , , , , , , , ,Y,C4,2,0, ,32ND ST SOUTHEAST CO,2767,10510,0,10510,0,0,0,0,0,0,2,1,5,20,20,25,110.67,25,92, ,3,N,5,2,186750,1467900,0,0,1900,0,0, , ,3.8,3,0,3,1,1009120062,0,70,990141,210353,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,276.2887965,2884.944322,1281150,10,0,5082,5082,14,3150,26.06333351,26.67222214,0.608888626,26.40738147,0.152374362,369.7033405 +5083,MN,863,60,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,183 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,"183 MADISON AVENUE, L",12610,233484,233484,0,202484,26000,0,0,0,5000,2,1,17,0,30,49.33,153.17,49,148, ,3,Y,3,1,7830000,29365200,0,0,1925,0,0, ,MADISON BELMONT BUILDING,18.52,10,10,10,1,1008630060,0,74,989075,211551,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,723.1695525,13476.65059,21535200,10,0,5083,5083,60,13500,49.51499939,57.18888855,7.67388916,50.09082349,1.691521556,3005.449409 +5084,MN,277,36,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,44 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,RENFA REALTY CORP,2512,10884,800,10084,0,800,0,0,0,0,2,1,6,22,24,25,100,25,87, ,2,N,5,2,90000,527850,0,0,1900,1964,0, , ,4.33,3.44,0,6.5,1,1002770036,0,8,985439,198931,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,257.8228921,2660.269795,437850,16,0,5084,5084,12,2700,25.33333397,31.14222145,5.808887482,27.38705571,1.366638899,328.6446686 +5085,MN,828,59,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,18 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,18 WEST 27TH STREET L,2469,27559,27559,0,25859,1700,0,0,0,0,2,1,12,0,26,25,98.75,25,94,E,3,N,5,2,1170000,2367900,0,0,1911,0,0,Madison Square North Historic District, ,11.16,0,10,10,1,1008280059,0,58,987162,210537,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,251.6659431,2433.482259,1197900,2,0,5085,5085,9,2025,42.13444519,42.13444519,0,42.13444519,0,379.2100067 +5086,MN,283,28,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,153 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,K2,5,0,P,153 EAST BROADWAY LLC,2128,4026,4026,0,0,4026,0,0,0,0,2,1,2,0,1,25,85,25,75, ,2,Y,5,2,256950,419729,0,0,1972,0,0, , ,1.89,3.44,0,6.5,1,1002830028,0,6,986799,199325,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,227.4632746,2325.615601,162779,16,0,5086,5086,11,2475,31.39800072,33.39266586,1.994665146,31.57933391,0.573425912,347.372673 +5087,MN,405,7504,103,34,2000,1,2,10009,L011,9,14,6200,4,3, ,525 EAST 11 STREET,R8B, , , , , , , , , ,N,R4,3,0, ,525 EMMUT PROPERTIES,2581,34454,11755,22699,0,0,11755,0,0,0,2,1,8,26,26,25,103.25,25,101, ,0,N,0,5,474750,3148201,18880,18880,1965,0,0, , ,13.35,4,0,4,1,1004057504,1447,34,989661,204559,12c, ,102 029,10203, ,1004050048,9/9/2005,1, , ,17V1.1,7,363.2335221,8014.506333,2673450,12,0,5087,5087,35,7875,14.53999996,15.31999969,0.779999733,14.61184123,0.194789044,511.414443 +5088,MN,834,29,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,17 WEST 32 STREET,C6-4, , , , , , , , , ,N,H3,5,0, ,WEST 32ND STREET HOTE,7169,64577,4000,0,0,4000,0,0,0,0,2,1,13,0,4,73.75,98.75,74,99,E,3,N,5,2,4635000,13303350,0,0,1910,1995,0, ,(FORMER) ABERDEEN HOTEL (NOW BEST W,9.01,10,10,10,1,1008340029,0,76,987988,211727,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,352.0570284,7544.770918,8668350,10,0,5088,5088,33,7425,45.84899902,45.84899902,0,45.84899902,0,1513.016968 +5089,MN,224,1,101,39,1009,2,1,10013,L008,1,15,7700,1,1,3B,450 WASHINGTON STREET,C6-3A,C6-2A, , , , ,TMU, , , ,Y,D8,3,0, ,"TRUFFLES II, LLC",36858,305542,34100,271442,0,6100,28000,0,0,0,2,1,15,283,286,175.35,212.29,161,180, ,0,Y,3,5,2488500,44793900,0,16438278,2007,0,0, , ,8.29,7.52,6,7.5,1,1002240001,0,39,981264,203009,12a, ,101N040,10105,R-76,1002240001,12/17/2007,1,1,1,17V1.1,0,788.2042084,38461.35599,42305400,0,1,5089,5089,171,38475,7.28000021,8.222222328,0.942222118,7.304418659,0.137463665,1249.055591 +5090,MN,570,7,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,61 5 AVENUE,C6-4, , , , , , , , , ,N,D6,4,0,P,61 FIFTH AVE. LLC,2500,23590,1232,22358,0,1232,0,0,0,0,2,1,10,4,6,25,100,25,79, ,0,N,3,5,473005,3716150,0,0,2010,2012,0, , ,9.44,10,10,10,1,1005700007,0,61,985944,207090,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,264.5004299,2841.57075,3243150,8,0,5090,5090,13,2925,33.2820015,33.78333282,0.501331329,33.3514372,0.164017831,433.5686836 +5091,MN,743,12,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,353 WEST 19 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,CONRADO CRUZ,1397,3528,0,2562,0,0,0,0,0,0,2,1,2,3,3,21.83,64,21.83,38,E,3,N,5,1,55446,148178,0,0,1910,1998,0, , ,2.53,3,0,3,1,1007430012,0,89,983644,210275,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,177.5249361,1484.921547,92732,7,0,5091,5091,7,1575,15.57888889,16.46777725,0.888888359,15.70587294,0.311046131,109.9411106 +5092,MN,447,49,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,319 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEW REALTY LLC,2425,8100,0,8100,0,0,0,0,0,0,2,1,5,23,23,25,97,25,54, ,3,N,5,1,316800,1240200,0,0,1900,1988,0, , ,3.34,4,0,4,1,1004470049,0,38,987591,203995,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.7799775,2539.982545,923400,1,0,5092,5092,12,2700,27.01499939,34.29888916,7.283889771,29.58861081,2.667235448,355.0633297 +5093,MN,767,5,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,152 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0,P,VILLAGE MANAGEMENT IN,2625,12390,2050,10340,0,2050,0,0,0,0,2,1,6,16,18,26.25,100,26,88, ,3,N,5,2,270000,1985400,0,0,1900,1986,0, , ,4.72,4,2,4,1,1007670005,0,81,984083,209543,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,256.9168261,2730.092108,1715400,7,0,5093,5093,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +5094,MN,440,24,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,432 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"M & E 432 E. 13TH,",5008,24150,3459,20691,0,3459,0,0,0,0,2,1,6,38,40,48.5,103.25,49,87, ,3,N,5,0,225450,1957950,0,0,1900,1988,2001, , ,4.82,4,0,4,1,1004400024,0,34,989266,205203,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,310.8587412,5168.178381,1732500,12,0,5094,5094,23,5175,16.59444427,19.78666687,3.192222595,16.86705299,0.883514349,387.9422188 +5095,MN,607,59,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,127 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SKIBELI, HELGE",2306,5104,0,3872,0,0,0,0,0,0,2,1,4,1,1,22.33,103.25,22.33,56, ,0,N,5,1,15584,61704,0,0,1925,0,0,Greenwich Village Historic District, ,2.21,2.43,0,4.8,1,1006070059,0,71,984444,207450,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,251.5188132,2282.699566,46120,8,0,5095,5095,12,2700,21.80333328,25.45777893,3.654445648,22.98722204,1.186696782,275.8466644 +5096,MN,829,67,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,42 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,LEGEND CORP,2570,9570,9570,0,7670,1900,0,0,0,0,2,1,5,0,3,26,98.75,26,73, ,3,N,5,2,400500,978300,0,0,1910,0,0, , ,3.72,0,10,10,1,1008290067,0,58,987069,210884,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,253.8682859,2664.179981,577800,2,0,5096,5096,12,2700,42.75111008,45.22377777,2.472667694,43.05873998,0.733947504,516.7048798 +5097,MN,447,50,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,317 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,REDHOUSE REALTY CORP,2425,6750,1350,5400,0,1350,0,0,0,0,2,1,5,9,10,25,97,25,54, ,3,N,5,1,37205,299819,0,0,1900,1987,0, , ,2.78,4,0,4,1,1004470050,0,38,987569,204007,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.411666,2521.446838,262614,1,0,5097,5097,12,2700,27.01499939,32.25222397,5.237224579,28.39615726,1.915342089,340.7538872 +5098,MN,822,7503,105,54,1001,2,3,10011,E014,13,15,5700,1,5, ,9 WEST 20 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, ,9 WEST 20TH CONDOMINI,2622,25588,1896,23692,0,1896,0,0,0,0,2,1,12,11,12,28.5,92,0,0, ,0,N,5,5,419850,4273199,4720,4720,1910,0,0,Ladies' Mile Historic District, ,9.76,10,10,10,1,1008227503,1226,54,986524,208975,8d, ,102 042,10306, ,1008220028,3/7/2003,1, , ,17V1.1,7,249.3773653,2656.796622,3853350,7,0,5098,5098,11,2475,34.23199844,34.23199844,0,34.23199844,0,376.5519829 +5099,MN,407,5,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,218 AVENUE A,C1-6A, , , , , , , , , ,N,C7,4,0, ,218 A LLC,2472,6900,800,6100,0,800,0,0,0,0,2,2,4,14,16,25.75,96,26,40, ,3,N,5,2,135000,1346850,0,0,1900,2008,2009, , ,2.79,4,2,4,1,1004070005,0,34,989702,205221,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,245.7893496,2526.17488,1211850,12,1,5099,5099,11,2475,11.62699986,18.09666634,6.469666481,13.51639375,2.568752437,148.6803312 +5100,MN,770,64,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,244 WEST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"CHELSEA PARTNERS, LLC",2162,8503,0,8503,0,0,0,0,0,0,2,1,6,12,12,19.58,110.42,20,38, ,3,Y,5,1,198900,1268550,0,0,1944,0,0, , ,3.93,4,0,4,1,1007700064,0,87,984668,210100,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,269.6092271,2333.106961,1069650,7,0,5100,5100,11,2475,22.20999908,26.11111069,3.901111603,23.15343354,1.554647729,254.6877689 +5101,MN,572,12,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,60 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"LES DEUX LAPINS, LLC",2348,5065,0,5065,0,0,0,0,0,0,2,1,5,1,1,25,93.92,25,44, ,3,N,5,2,77365,499147,0,0,1900,2009,0,Greenwich Village Historic District, ,2.16,2.43,0,4.8,1,1005720012,0,63,984619,206610,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.3773674,2437.663959,421782,8,0,5101,5101,11,2475,18.70499992,21.14999962,2.444999695,19.63676765,1.041228506,216.0044441 +5102,MN,590,60,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,23 BARROW STREET,R6,C2-6, , , , , , , , ,Y,C5,2,0, ,23 BARROW STREET ASSO,2050,8065,0,8065,0,0,0,0,0,0,2,1,5,16,16,25,81.83,25,64, ,2,N,5,2,334350,1090800,0,0,1875,1984,0,Greenwich Village Historic District, ,3.93,2.43,0,4.8,1,1005900060,0,67,983460,206111,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,220.0866068,2125.262116,756450,9,0,5102,5102,9,2025,19.74111176,22.47777748,2.736665726,20.33382734,0.960573224,183.004446 +5103,MN,207,12,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1A,202 HESTER STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,GEE TAI CHONG REALTYC,1317,5933,1000,4933,0,1000,0,0,0,0,2,1,5,8,9,28.42,46.33,28,42, ,2,N,5,2,29931,154456,0,0,1910,0,0, , ,4.5,0,5,6.5,1,1002070012,0,41,984517,201008,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,152.5439018,1358.978486,124525,0,0,5103,5103,7,1575,18.94599915,19.66333199,0.71733284,19.04847527,0.251014205,133.3393269 +5104,MN,51,15,101,13,2001,2,1,10006,E010,1,15,7700,1,1, ,88 TRINITY PLACE,C5-5, , , , , ,LM, , , ,N,W1,8,0,P,90-100 TRINITY OWNER,5882,83362,83362,0,83362,0,0,0,0,0,2,1,15,0,2,78.75,74.42,78,73, ,3,Y,3,2,1539000,6327900,0,0,1973,0,0, , ,14.17,10,15,15,1,1000510015,0,13,980794,197574,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,319.1712345,6352.895031,4788900,15,0,5104,5104,27,6075,16.40399933,19.29888916,2.894889832,16.68293769,0.675830408,450.4393177 +5105,MN,473,15,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,435 BROOME STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,SOCKET REALTY CORP,2517,12742,7644,5098,2548,2548,0,2548,0,0,2,1,5,2,5,24.92,101.08,25,95,E,2,N,5,2,315000,1797300,0,0,1915,1988,0,SoHo-Cast Iron Historic District, ,5.06,0,5,6.5,1,1004730015,0,45,984374,202094,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,256.1429057,2531.176285,1482300,0,0,5105,5105,11,2475,20.99799919,27.58222198,6.584222794,21.5965649,1.892830968,237.5622139 +5106,MN,53,3,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,103 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,K4,4,0,P,GOLDEN SEAHORSE LLC,2287,8500,4250,4250,0,4250,0,0,0,0,2,1,5,6,7,25,92,25,85, ,3,Y,5,2,271800,968400,0,0,1986,1986,0, ,(FORMER) ST. GEORGE'S SYRIAN CATHOL,3.72,10,15,15,1,1000530003,0,13,980346,197356,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,236.7374984,2350.895611,696600,15,1,5106,5106,9,2025,7.869999886,7.869999886,0,7.869999886,0,70.82999897 +5107,MN,230,7504,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,15 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,4204,21177,5960,15217,0,5960,0,0,0,0,2,1,6,5,6,0.09,0,0,0, ,0,N,0,5,124981,2418832,2360,2360,1910,0,0,SoHo-Cast Iron Historic District, ,5.04,0,5,6.5,1,1002307504,1145,47,983626,201841,12a, ,11N 046,10105, ,1002300038,3/12/2001,1, , ,17V1.1,7,290.3352774,4271.370032,2293850,0,1,5107,5107,19,4275,11.39777756,11.39777756,0,11.39777756,0,216.5577736 +5108,MN,452,40,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,233 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,233-5 REALTY LLC,4690,16987,0,16987,0,0,0,0,0,0,2,1,5,40,40,49.5,94.79,49,80,E,3,N,5,2,422100,2002500,0,0,1900,0,0, , ,3.62,4,0,4,1,1004520040,0,40,988401,204967,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,301.3335882,5046.956214,1580400,12,0,5108,5108,22,4950,22.86222267,24.41044426,1.548221588,23.00056605,0.372947809,506.0124531 +5109,MN,911,30,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,545 2 AVENUE,C1-8A, , , , , , , , , ,N,S4,4,0, ,PLATINA DEVELOPMENT L,1516,3915,1200,2715,0,1200,0,0,0,0,2,1,4,4,5,19.67,77,20,69,E,3,N,5,5,182625,423070,0,0,1910,2011,0, , ,2.58,7.52,2,7.5,1,1009110030,0,70,990376,209797,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,197.5526778,1529.551407,240445,10,0,5109,5109,7,1575,29.22888947,29.22888947,0,29.22888947,0,204.6022263 +5110,MN,621,69,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,67 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,67 CHARLES STREET LLC,1900,4180,0,3220,0,0,0,0,0,0,2,1,3,1,1,20,95.25,20,48,E,3,N,5,1,53806,203077,0,0,1905,1960,2010,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006210069,0,73,983170,207052,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,237.2780585,1957.133182,149271,8,0,5110,5110,8,1800,24.81222343,28.03000069,3.217777252,25.61533427,1.140855739,204.9226742 +5111,MN,473,41,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1F,184 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,CHUNG HRVA RL EST DVL,2525,9480,760,8720,0,760,0,0,0,0,2,1,5,20,22,25.08,100.25,25,70, ,2,N,5,2,90000,395100,0,0,1900,2011,0,SoHo-Cast Iron Historic District Extensi, ,3.75,0,5,6.5,1,1004730041,0,45,984586,201888,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,257.1033318,2649.68544,305100,0,0,5111,5111,11,2475,26.17399979,26.17399979,0,26.17399979,0,287.9139977 +5112,MN,743,4,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,154 9 AVENUE,C2-6A, , , , , , , , , ,N,S3,4,0, ,RICHARD SCHILLER,1369,4424,1100,3324,0,1100,0,0,0,0,2,1,4,3,4,22.08,62,22,49, ,3,N,5,5,81233,188472,2360,2360,1910,1980,0,Chelsea Historic District, ,3.23,4,2,4,1,1007430004,0,89,983509,210406,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,167.6266618,1286.496615,107239,7,0,5112,5112,6,1350,15.57888889,15.86211109,0.283222198,15.62609259,0.105550681,93.75655556 +5113,MN,232,1,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,434 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,434 BROADWAY PROPERTY,5905,52065,52065,0,46280,5785,0,0,0,0,2,1,9,0,6,60.83,97.67,61,97, ,2,Y,3,2,603000,8582850,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,8.82,0,5,6.5,1,1002320001,0,45,983954,201564,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,338.0250442,6798.979859,7979850,0,0,5113,5113,31,6975,14.35888863,14.35888863,0,14.35888863,0,445.1255474 +5114,MN,700,44,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,516 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0, ,KADIMA TENTH AVENUE S,2468,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,25,98.75,0,0, ,3,N,5,0,280800,2080800,0,0,2014,0,0, , ,109.23,7.52,6,10,1,1007000044,0,99,983541,213131,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,254.9901168,2631.31359,1800000,6,1,5114,5114,12,2700,11.49300003,12.7877779,1.29477787,11.60089819,0.357857699,139.2107782 +5115,MN,279,10,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,17 OLIVER STREET,R7-2, , , ,C2-5, , , , , ,N,C3,2,0, ,"ANN SUE ENG, AS TRUST",1760,2949,0,2949,0,0,0,0,0,0,2,1,3,4,4,21.92,81,22,52, ,3,Y,5,5,41621,211715,0,0,1920,0,0, , ,1.68,3.44,0,6.5,1,1002790010,0,27,984749,198875,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,203.7253548,1676.427203,170094,16,0,5115,5115,8,1800,17.07600021,18.75844574,1.682445526,17.86830568,0.769319981,142.9464455 +5116,MN,572,58,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,29 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S9,4,0, ,GREENE FAMILY 8TH STR,2364,8171,2300,5871,0,2300,0,0,0,0,2,1,4,3,5,25.17,93.92,25,70, ,3,N,5,5,479944,1005553,0,0,1900,1985,0,Greenwich Village Historic District, ,3.46,3.44,3.4,6.5,1,1005720058,0,63,984866,206361,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.1262633,2386.90855,525609,8,0,5116,5116,10,2250,18.70499992,22.69555473,3.99055481,20.00644436,1.623105085,200.0644436 +5117,MN,886,5,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,451 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O3,5,0, ,451-453 PARK AVE SOUT,4938,48095,48095,0,48095,0,0,0,0,0,2,1,10,0,0,49.33,100,49.33,95, ,0,N,5,5,2025000,4981050,0,0,1915,1988,0, , ,9.74,10,10,10,1,1008860005,0,72,989057,210608,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,312.7302526,5296.140384,2956050,10,0,5117,5117,23,5175,33.23199844,42.50222397,9.270225525,34.16624019,2.63013103,785.8235245 +5118,MN,551,122,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,7 MAC DOUGAL ALLEY,R6,C4-5, , , , ,LC, , , ,Y,A5,1,0, ,"VENEKLASEN, GORDON",1334,1920,0,1920,0,0,0,0,0,0,2,1,2,1,1,24.25,55,24,40, ,3,N,5,0,58402,181065,0,0,1899,2009,0,Greenwich Village Historic District, ,1.44,2.43,0,4.8,1,1005510122,0,63,984850,206166,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,160.4162601,1386.460342,122663,8,0,5118,5118,5,1125,22.1970005,22.1970005,0,22.1970005,0,110.9850025 +5119,MN,463,50,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,15 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"15 E. 7TH STREET, LLC",1950,7270,1454,5816,0,1454,0,0,0,0,2,1,5,8,9,26,75,26,68,E,3,N,5,2,58234,206698,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.73,4,0,4,1,1004630050,0,38,987118,204812,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,208.3703956,2032.806129,148464,12,0,5119,5119,9,2025,34.15777969,38.39222336,4.234443665,35.08753247,1.739571428,315.7877922 +5120,MN,560,7501,102,59,4000,2,2,10003,E033,6,15,5700,3,2, ,21 UNIVERSITY PLACE,C1-7,R7-2, , , , , , , , ,Y,RM,4,0,P,CHARLES GREENTHAL MGM,44000,199654,63556,136098,0,44001,19555,0,0,0,2,1,6,144,145,188.28,241.28,0,0, ,0,Y,5,5,4909500,25892550,174536,174536,1955,0,0, , ,4.54,6.02,2,6.5,1,1005607501,306,59,985896,205846,12c, ,103 023,10207, ,1005600003,12/25/1986,1, , ,17V1.1,7,860.7551858,45755.79754,20983100,8,0,5120,5120,204,45900,31.50111198,35.48333359,3.982221603,34.16532623,0.528957239,6969.726551 +5121,MN,434,33,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3A,101 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,101 AVENUE A PROPERTY,2267,6802,2267,4535,0,2267,0,0,0,0,2,1,4,3,4,22.67,100,23,100, ,3,N,5,5,85870,142389,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3,4,0,4,1,1004340033,0,32,988671,203724,12c, ,102 020,10205, ,1004340033,12/5/1984,1, , ,17V1.1,0,249.6006509,2285.758817,56519,1,0,5121,5121,11,2475,18.26222229,19.15600014,0.893777847,18.34347482,0.256943065,201.778223 +5122,MN,567,7,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,33 5 AVENUE,R10, , , , , , , , , ,N,D4,3,0,P,33 FIFTH AVE OWNERS,5267,65028,2000,63028,2000,0,0,0,0,0,2,1,16,60,63,52.67,100,52,90, ,2,Y,3,2,729000,6478650,112984,112984,1924,1988,0,Greenwich Village Historic District, ,12.35,10,0,10,1,1005670007,0,59,985558,206391,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,314.2047943,5569.247373,5749650,8,0,5122,5122,26,5850,27.86444473,30.83777809,2.973333359,28.06914557,0.714372364,729.7977848 +5123,MN,518,7501,102,49,3000,2,3,10012,L020,1,15,6800,1,2, ,197 PRINCE STREET,R7-2, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2500,9108,0,9108,0,0,0,0,0,0,2,1,6,6,6,25,100,0,0, ,0,N,5,5,102498,894387,4720,4720,1989,0,0,Sullivan-Thompson Historic District, ,3.64,3.44,0,6.5,1,1005187501,623,49,983543,204080,12a, ,101N068,10206, ,1005180046,9/14/1989,1, , ,17V1.1,7,252.0204288,2328.882332,791889,9,0,5123,5123,11,2475,20.52111053,20.52111053,0,20.52111053,0,225.7322159 +5124,MN,325,11,103,10.02,3005,1,2,10002,L018,7,14,7600,1,3,3A,525 EAST HOUSTON STREET,R7-2, , , , , , , , , ,N,Q2,9,0,C,DCAS/DEPARTMENT OF ED,20171,0,0,0,0,0,0,0,0,0,7,1,1,0,0,201.92,125.08,0,10, ,0,Y,3,5,598500,751950,598500,751950,1959,0,0, , ,0,3.44,0,6.5,1,1003250011,0,1002,990899,201134,12c, ,102 008,10201, ,0, ,1, ,1,17V1.1,0,631.4152037,20471.29662,153450,1,1,5124,5124,91,20475,10.4622221,16.07666779,5.614445686,11.45919419,0.99763096,1042.786672 +5125,MN,404,6,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,504 EAST 11 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C4,2,0,P,GOTHAM CITY INTERNATI,5205,16914,0,16914,0,0,0,0,0,0,2,3,5,32,32,55,94.75,30,50, ,3,Y,5,2,238950,1700550,0,0,1900,0,0, , ,3.25,4,0,4,1,1004040006,0,34,989401,204524,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,304.1431865,5341.548916,1461600,12,0,5125,5125,24,5400,12.53199959,17.22999954,4.697999954,14.27216665,1.654408339,342.5319996 +5126,MN,414,23,103,18,7000,2,1,10002,L006,5,14,7400,1,3,2B,95 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"CHEN, TEK LIM",2321,8660,1732,6928,0,1732,0,0,0,0,2,1,5,13,15,26.25,88.42,26,62, ,3,N,5,2,128250,596250,2360,2360,1900,2015,0, , ,3.73,4,4,4,1,1004140023,0,18,986735,201145,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.136964,2354.08034,468000,13,0,5126,5126,9,2025,37.8544426,37.8544426,0,37.8544426,0,340.6899834 +5127,MN,700,45,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,518 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0,P,KADIMA TENTH AVENUE S,4937,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,50,98.75,0,0, ,3,N,5,0,608400,4203900,0,0,2014,0,0, , ,54.6,7.52,6,10,1,1007000045,0,99,983508,213149,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,302.3898666,5038.030849,3595500,6,1,5127,5127,23,5175,11.49300003,12.74222279,1.249222755,11.54731406,0.254755396,265.5882235 +5128,MN,451,53,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,317 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,PSA 315 EAST 9TH STRE,2306,6857,700,6157,700,0,0,0,0,0,2,2,5,15,16,25,92.25,25,46, ,3,N,5,5,197100,634950,0,0,1900,0,0, , ,2.97,4,0,4,1,1004510053,0,40,988073,204866,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,243.0893264,2423.952619,437850,12,0,5128,5128,12,2700,23.56533241,23.62299919,0.057666779,23.61819363,0.015938256,283.4183235 +5129,MN,194,20,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,315 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,315 CHURCH ST REALTY,3953,20000,12000,8000,8000,4000,0,0,0,0,2,1,5,3,9,47.92,75.08,48,75, ,3,Y,5,2,180450,2204550,0,0,1900,0,0,Tribeca East Historic District, ,5.06,6.02,6,6.5,1,1001940020,0,33,983203,201509,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,298.8999676,4544.768558,2024100,0,0,5129,5129,20,4500,12.8255558,15.09888935,2.27333355,12.93922248,0.49546156,258.7844496 +5130,MN,231,15,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,48 HOWARD STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,DAPAUL REALTY CORP,1650,7500,7500,0,4600,2900,0,0,0,0,2,1,5,0,2,22,75,22,72,E,3,N,5,2,102600,679950,0,0,1915,1986,0,SoHo-Cast Iron Historic District, ,4.55,0,5,6.5,1,1002310015,0,47,983763,201703,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,207.3729309,1902.164979,577350,0,0,5130,5130,8,1800,12.30000019,12.30000019,0,12.30000019,0,98.40000153 +5131,MN,922,23,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,271 1 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0,P,"GGK REALTY, CORP.",1600,5400,1000,4400,0,1000,0,0,0,0,2,1,4,3,4,20,80,20,62,E,3,N,5,5,398102,807211,0,0,1910,0,0, , ,3.38,4,2,4,1,1009220023,0,48,989211,206145,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,215.1705662,1743.884298,409109,5,0,5131,5131,8,1800,19.57900047,19.57900047,0,19.57900047,0,156.6320038 +5132,MN,237,36,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,191 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,BES 2 LLC,1881,8680,1675,7005,0,1675,0,0,0,0,2,1,6,15,16,25,75.25,25,73,E,3,Y,3,2,128250,1795050,0,0,1900,1989,0, , ,4.61,6.02,6,6.5,1,1002370036,0,41,984879,200959,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,205.6131868,2052.83141,1666800,0,0,5132,5132,9,2025,30.34222221,32.43099976,2.088777542,31.97295041,0.716165598,287.7565537 +5133,MN,463,44,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,27 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,27 E. 7TH ST LLC,1958,8160,0,8160,0,0,0,0,0,0,2,1,5,11,11,26.17,74.83,26,60,E,3,N,5,2,110250,861750,0,0,1900,2012,0,East Village/Lower East Side Historic Di, ,4.17,4,0,4,1,1004630044,0,38,987255,204736,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,206.8817278,1986.731174,751500,12,0,5133,5133,8,1800,34.15777969,34.15777969,0,34.15777969,0,273.2622375 +5134,MN,412,11,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,192 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,LOWER EAST SIDE MANAG,2189,7962,1593,6369,0,1593,0,0,0,0,2,1,5,8,10,24.92,87.83,25,61, ,3,N,5,2,196102,347015,0,0,1900,1986,0, , ,3.64,4,4,4,1,1004120011,0,3001,987598,202369,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,232.3044671,2288.195371,150913,1,0,5134,5134,11,2475,34.02799988,35.50999832,1.481998444,34.47599966,0.560865548,379.2359962 +5135,MN,179,61,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,149 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0,P,149 FRANKLIN ST OWNER,4200,22600,7550,15050,3750,3800,0,0,0,0,2,1,6,7,10,58.25,71,58,71, ,3,Y,5,2,434301,1255384,0,0,1915,0,0,Tribeca West Historic District, ,5.38,6.02,6,6.5,1,1001790061,0,33,982099,201237,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,284.4108458,4196.85596,821083,14,1,5135,5135,18,4050,10.17444515,14.33666706,4.162221909,10.73971049,1.305263823,193.3147888 +5136,MN,806,76,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,371 7 AVENUE,C6-4, , , , , , , , , ,N,H1,5,0, ,CYH MANHATTAN LLC,19011,473391,22500,0,0,5500,17000,0,0,0,2,1,28,529,538,88.25,200.5,88,200, ,2,Y,3,2,10170000,60018300,0,0,1929,1988,0, , ,24.9,10,10,10,1,1008060076,0,101,986560,212050,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,601.8341782,19172.23,49848300,6,0,5136,5136,84,18900,35.0344429,37.53111267,2.496669769,35.14214139,0.483658669,2951.939877 +5137,MN,587,61,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,70 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K1,5,0, ,"343 PLANDOME ROAD, IN",610,960,960,0,0,960,0,0,0,0,2,1,1,0,1,38.71,28.56,27,30, ,0,Y,5,5,24750,267750,0,0,1950,0,0,Greenwich Village Historic District, ,1.57,3.44,2,6.5,1,1005870061,0,67,983147,205954,12a, ,103 004,10208, ,1005870055,2/1/2007,1, , ,17V1.1,0,111.2168015,652.5301654,243000,9,0,5137,5137,4,900,17.76222229,17.95400047,0.191778183,17.81016684,0.083042389,71.24066734 +5138,MN,434,12,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,96 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,SEVEN TURNS REALTY LL,2271,7676,1500,6176,0,1500,0,0,0,0,2,1,5,8,11,25,90.83,25,60, ,3,N,5,2,155250,814500,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.38,4,0,4,1,1004340012,0,32,988315,203988,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,238.8067865,2435.213711,659250,12,0,5138,5138,11,2475,18.26222229,18.44466782,0.182445526,18.27880825,0.052449401,201.0668907 +5139,MN,645,23,102,79,1007,2,3,10014,L005,6,15,6100,1,2,3B,55 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K2,5,0, ,55 LITTLE WEST 12TH L,2575,5081,5081,0,0,5081,0,0,0,0,2,1,3,0,3,25,103.25,25,103,E,3,N,5,2,173700,1339200,0,0,1900,2003,0, , ,1.97,0,5,6.5,1,1006450023,0,79,981911,209155,8b, ,103 039,10210, ,0, ,1,1,1,17V1.1,0,264.9035475,2810.183196,1165500,8,1,5139,5139,12,2700,10.40055561,10.54500008,0.144444466,10.53296304,0.039922341,126.3955565 +5140,MN,599,64,102,37,1000,2,3,10014,E024,1,15,6800,1,2,1B,375 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,375 HUDSON LLC,69096,907938,907938,0,785011,15702,20000,0,0,87225,2,1,18,0,6,199.5,347,200,310, ,1,Y,1,2,14535000,204014700,0,0,1987,2012,2014, , ,13.14,0,10,10,1,1005990064,0,37,982054,204682,12a, ,101N066,10208, ,1005990050,12/30/1986,1, , ,17V1.1,0,1096.996018,69220.44357,189480000,0,1,5140,5140,309,69525,12.33555508,16.60666656,4.271111488,12.90076097,0.969154196,3986.335138 +5141,MN,497,9,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,546 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0,P,"SALVA DELAWARE, LLC",17460,96000,62000,34000,17000,45000,0,0,0,0,2,1,5,15,17,50.17,200,50,200, ,3,Y,4,2,2475000,31078800,0,0,1900,2016,2013,SoHo-Cast Iron Historic District, ,5.5,0,5,6.5,1,1004970009,0,43,984843,202807,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,669.0494447,18368.21472,28603800,0,0,5141,5141,80,18000,31.61100006,34.95333481,3.342334747,31.71557927,0.536615501,2537.246342 +5142,MN,900,30,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,228 EAST 20 STREET,R8B, , , , , , , , , ,N,D8,3,0, ,227 EAST 19TH STREET,9390,52048,0,52048,0,0,0,0,0,0,2,1,7,37,37,0,0,105,61, ,0,N,0,5,3274650,3297150,0,0,2016,0,0, , ,5.54,4,0,4,1,1009000030,0,64,988915,207480,12c, ,102 047,10308, ,1009000009,7/21/2005,1, , ,17V1.1,0,402.2832273,9375.728545,22500,5,0,5142,5142,40,9000,20.76499939,22.25555611,1.490556717,20.86454668,0.351910398,834.5818672 +5143,MN,610,1,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,113 7 AVENUE SOUTH,C4-5,R6, , , , , , , , ,Y,C7,4,0, ,CHRISTOPHER & SEVENTH,9565,21092,5850,15242,600,5250,0,0,0,0,2,7,1,23,31,90.58,149,28,60, ,0,Y,3,5,2583000,8692650,0,0,1915,1987,0,Greenwich Village Historic District,STONEWALL INN,2.21,3.44,3.4,6.5,1,1006100001,0,73,983623,206645,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,454.4175508,9929.451051,6109650,9,0,5143,5143,42,9450,20.06299973,22.24333382,2.180334091,20.17155002,0.416242355,847.205101 +5144,MN,513,3,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,132 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,GREENE ST RLTY CORP,11300,61999,10000,51999,0,10000,0,0,0,0,2,3,6,49,52,36.83,100,37,99, ,3,N,5,2,522000,7574400,11800,11800,1885,2006,2016,SoHo-Cast Iron Historic District, ,5.49,0,5,6.5,1,1005130003,0,49,984619,203571,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,434.8741224,11797.81436,7052400,9,0,5144,5144,52,11700,26.62555504,29.30555534,2.680000305,26.76655931,0.573748081,1391.861084 +5145,MN,117,1,103,27,1005,2,1,10038,E009,5,14,7800,1,3,1A,185 PARK ROW,R7-2, , , , , ,TA, , , ,N,D4,3,0, ,CHATHAM GREEN,186750,515425,42225,473200,10095,20190,0,0,0,0,2,3,2,420,465,624.83,350.58,120,125, ,1,Y,1,2,11520000,43193250,2919267,2919267,1960,0,0, , ,2.76,3.44,0,6.5,1,1001170001,0,27,984291,198869,12d, ,101S026,10104, ,0, ,1, , ,17V1.1,0,1894.210676,183973.9216,31673300,16,0,5145,5145,815,183375,15.58555508,27.99111176,12.40555668,19.26179764,1.98537307,15698.36508 +5146,MN,633,40,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,737 GREENWICH STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,"SIMON, CO-TRUSTEE, JO",1330,1330,0,1330,0,0,0,0,0,0,2,1,2.5,4,4,19,70,19,43, ,3,N,5,5,91264,153489,0,0,1905,0,0,Greenwich Village Historic District, ,1,3.44,2,6.5,1,1006330040,0,75,982396,207149,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,182.5017926,1405.251685,62225,9,0,5146,5146,6,1350,19.46666718,21.78000069,2.313333511,19.85222276,0.862128498,119.1133366 +5147,MN,606,21,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,52 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,431 HOLDING COMPANY,1410,4963,980,3983,0,980,0,0,0,0,2,1,5,8,9,19.58,65.67,20,72, ,3,Y,5,2,128095,304952,0,0,1900,0,0,Greenwich Village Historic District, ,3.52,3.44,2,6.5,1,1006060021,0,71,984149,207348,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,183.0496201,1353.273077,176857,8,0,5147,5147,5,1125,22.88899994,22.88899994,0,22.88899994,0,114.4449997 +5148,MN,562,36,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,43 EAST 10 STREET,R7-2, , , , , , , , , ,N,D0,3,0, ,43 E 10 ST CORP,6593,40061,4676,35385,0,0,0,0,0,4676,2,1,6,51,51,69.58,94.75,70,89, ,3,N,5,2,385200,4247100,50884,50884,1900,1975,0, , ,6.08,3.44,0,6.5,1,1005620036,0,61,986361,206097,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,334.2450957,6811.300663,3861900,8,0,5148,5148,32,7200,34.39444351,34.39444351,0,34.39444351,0,1100.622192 +5149,MN,348,67,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,87 ATTORNEY STREET,R7A, , , , , , , , , ,N,D3,3,0, ,87-89 ATTORNEY STREET,5000,17168,0,17168,0,0,0,0,0,0,2,1,6,24,24,50,100,0,0, ,0,N,5,5,900000,2226150,0,0,2000,0,0, , ,3.43,4,0,4,1,1003480067,0,1402,988449,200936,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,304.3934339,5141.237048,1326150,13,0,5149,5149,22,4950,23.08555603,25.54111099,2.455554962,23.94107099,0.970568389,526.7035618 +5150,MN,132,2,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,67 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0,P,"67 MURRAY STREET, L.L",2500,12300,4100,8200,0,4100,0,0,0,0,2,1,6,4,6,25,100,25,97, ,3,N,5,5,291876,816534,0,0,1920,2014,0, , ,4.92,6.02,6,6.5,1,1001320002,0,21,981416,199655,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,268.4041711,2908.69019,524658,3,0,5150,5150,12,2700,17.95000076,17.95000076,0,17.95000076,0,215.4000092 +5151,MN,633,30,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,135 PERRY STREET,C1-6A,R6, , , , , , , , ,Y,C6,2,0, ,135 PERRY OWNERS CORP,2438,9600,0,9600,0,0,0,0,0,0,2,1,5,16,16,25,97.67,25,84, ,3,Y,5,2,225000,1274400,4720,4720,1900,1983,0,Greenwich Village Historic District, ,3.94,4,2,4,1,1006330030,0,75,982103,207094,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,247.5612871,2302.955815,1049400,9,0,5151,5151,10,2250,15.33111095,15.33111095,0,15.33111095,0,153.3111095 +5152,MN,263,1,103,2.02,5003,1,2,10002,E015,7,14,8000,1,3,1B,14 JACKSON STREET,R7-2, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,96750,158000,0,158000,0,0,0,0,0,0,2,4,6,236,236,430.5,200.92,165.83,55, ,0,Y,3,0,1840500,14720400,1840500,14720400,1940,0,0, , ,1.63,3.44,0,6.5,1,1002630001,0,202,989722,199019,12d, ,101N061,10106, ,0, ,1, , ,17V1.1,0,1475.756289,98061.01054,12879900,13,0,5152,5152,438,98550,19.72333336,30.16666603,10.44333267,24.17217892,2.119646264,10587.41437 +5153,MN,310,20,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,355 GRAND STREET,C6-2, , , , , , , , , ,N,S9,4,0,P,INTERBORO REALTY MANA,1151,3500,1143,2357,0,1143,0,0,0,0,2,1,2.5,2,4,23.08,50.58,23,51, ,3,Y,3,5,232841,338850,0,0,1910,1970,2016, , ,3.04,6.02,6,6.5,1,1003100020,0,16,987190,200363,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,157.2032737,1341.476722,106009,13,0,5153,5153,6,1350,34.98799896,36.30666733,1.318668365,35.40674019,0.593285942,212.4404411 +5154,MN,741,41,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,310 WEST 18 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,310 WEST 18TH STREET,1794,7700,836,6864,0,836,0,0,0,0,2,1,5,16,17,19.5,92,18,80, ,2,Y,5,2,82800,1005750,4720,4720,1900,1986,0, , ,4.29,4,0,4,1,1007410041,0,83,983855,209726,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,229.9254378,1918.32478,922950,7,0,5154,5154,8,1800,19.42666817,19.66333389,0.236665726,19.45625138,0.078269832,155.6500111 +5155,MN,452,36,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,165 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,EAST VILLAGE AT FIRST,2325,10212,2043,8169,0,2043,0,0,0,0,2,2,5,8,9,23.25,100,23,100, ,3,N,5,2,61091,203299,0,0,1900,0,0, , ,4.39,4,0,4,1,1004520036,0,40,988506,204899,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.9754399,2545.945255,142208,12,0,5155,5155,12,2700,22.86222267,22.86222267,0,22.86222267,0,274.3466721 +5156,MN,415,31,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,129 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,WONG'S BROTHER CORP,2204,7270,2000,5270,0,2000,0,0,0,0,2,1,5,18,20,25,88.17,25,58, ,3,N,5,2,180000,766350,0,0,1910,1997,0, , ,3.3,4,4,4,1,1004150031,0,18,986918,201614,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,228.115112,2206.290183,586350,13,0,5156,5156,9,2025,37.10666656,40.37110901,3.264442444,37.78992547,1.274431982,340.1093292 +5157,MN,193,45,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,393 BROADWAY,C6-2A, , , , , , , , , ,N,O5,5,0, ,D & Y NEGRIN REALTY,2495,11000,11000,0,8800,2200,0,0,0,0,2,1,5,0,5,24.83,100.33,25,96,E,3,Y,5,2,188100,1367100,0,0,1915,0,0,Tribeca East Historic District, ,4.41,6.02,6,6.5,1,1001930045,0,33,983425,201062,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,266.1129043,2676.644272,1179000,14,0,5157,5157,12,2700,13.68111134,20.75111198,7.070000649,14.27027806,1.954044952,171.2433367 +5158,MN,905,6,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,205 EAST 24 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,PENNY LANE OWNERS COR,22177,144942,18144,126798,0,0,18144,0,0,0,2,1,7,180,180,224.58,98.75,225,99, ,3,N,5,2,1728000,12125250,70800,70800,1976,0,0, , ,6.54,4,0,4,1,1009050006,0,66,989320,208638,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,654.0154923,22952.03611,10397300,11,0,5158,5158,103,23175,26.78800011,36.36111069,9.57311058,28.93650055,3.316452799,2980.459557 +5159,MN,746,74,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,360 WEST 23 STREET,C1-6A, , , , , , , , , ,N,S4,4,0, ,FAMILY OF FANNY LLC,2469,9870,1974,7896,0,1974,0,0,0,0,2,1,5,4,5,25,98.75,25,89, ,3,N,5,5,205705,474375,0,0,1910,0,0, , ,4,4,2,4,1,1007460074,0,93,983977,211082,8d,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,264.1017597,2767.82426,268670,2,0,5159,5159,13,2925,15.97222233,17.13777733,1.165555,16.06188041,0.310584689,208.8044453 +5160,MN,632,7503,102,75,1000,2,3,10014,L005,6,15,6400,2,2, ,132 PERRY STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,8183,41875,19119,22756,6902,12217,0,0,0,0,2,2,11,9,16,84,100.5,0,0, ,0,Y,0,5,2187002,7564051,0,0,1990,0,0,Greenwich Village Historic District Exte, ,5.12,4,2,4,1,1006327503,2005,75,982126,206948,12a, ,103 011,10210, ,1006320013,11/1/2001,1, , ,17V1.1,7,375.8276942,8371.4626,5377050,9,0,5160,5160,38,8550,15.84700012,17.83333206,1.98633194,16.03824866,0.504351374,609.4534492 +5161,MN,844,17,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,31 UNION SQUARE,C6-2A,C6-4, , , , ,US, , , ,Y,D6,4,0, ,DAVID ELLIS REAL ESTA,7175,118067,7000,111067,0,7000,0,0,0,0,2,2,16,82,85,32.5,200,32,173, ,2,Y,3,1,1210500,13827600,0,0,1902,1978,0, ,THE BANK OF THE METROPOLIS,16.46,6.02,6,6.5,1,1008440017,0,52,986718,207715,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,612.5140996,10057.5164,12617100,7,0,5161,5161,44,9900,41.19499969,41.19499969,0,41.19499969,0,1812.579987 +5162,MN,467,19,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,220 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,220 E 12TH ST OWNERS,2485,9950,0,9950,0,0,0,0,0,0,2,1,4,8,8,23.33,106.5,23,89, ,3,N,5,2,85147,338839,11800,11800,1920,1983,0, , ,4,4,0,4,1,1004670019,0,40,987791,205714,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,264.4532342,2546.53174,253692,12,0,5162,5162,11,2475,28.52666664,33.29777908,4.771112442,29.28630326,1.631157624,322.1493359 +5163,MN,134,7504,101,21,1004,2,1,10007,L010,1,15,7700,1,1, ,19 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,TRIBECA EAST CONDO,3812,23594,8615,14979,0,0,0,0,0,8615,2,1,6,8,10,50.25,75.87,0,0, ,0,N,0,5,164163,2084451,7080,734264,1930,0,0, , ,6.19,7.52,6,7.5,1,1001347504,1168,21,982078,199365,12b, ,115 015,10104, ,1001340018,12/20/2000,1, , ,17V1.1,7,257.2397329,3954.326642,1920290,3,0,5163,5163,17,3825,30.50333214,34.47888947,3.975557327,30.73718845,0.935425253,522.5322037 +5164,MN,692,28,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,509 WEST 20 STREET,M1-5, , , , , ,WCH, , , ,N,E9,6,1,P,NEW YORK CENTRAL LINE,9200,9200,9200,0,1020,0,0,0,8180,0,2,1,1,0,1,50,184,50,184, ,0,N,4,5,314550,2191050,0,0,1958,0,0, , ,1,0,5,6.5,1,1006920028,0,99,982623,211189,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,468.9668249,9006.314369,1876500,7,1,5164,5164,41,9225,8.291999817,8.291999817,0,8.291999817,0,339.9719925 +5165,MN,722,78,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,250 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S2,4,0, ,"SALVIONI, DANIELA",1383,4560,1824,2736,0,912,0,0,0,912,2,1,4,2,3,19.75,70,19.75,48, ,3,N,5,5,50459,99521,0,0,1910,0,0, , ,3.3,3,0,3,1,1007220078,0,93,983369,212003,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,187.641007,1549.754542,49062,2,1,5165,5165,6,1350,10.68099976,11.30444431,0.623444557,10.78490718,0.232344068,64.70944309 +5166,MN,164,6,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,40 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,MEI JING INC,1806,6706,1200,5506,0,1200,0,0,0,0,2,1,5,8,9,22.5,84,23,68, ,3,Y,5,2,122318,622849,0,0,1920,1972,0, , ,3.71,3.44,6,6.5,1,1001640006,0,29,984413,199712,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,219.7335041,1939.819327,500531,14,0,5166,5166,12,2700,20.62111092,24.33444405,3.71333313,20.99638875,1.029682108,251.956665 +5167,MN,495,42,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,213 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,51 SPRING ST LLC C/O,1390,8075,1075,7000,0,1075,0,0,0,0,2,1,6,15,17,28,76.25,28,73, ,2,Y,3,1,99450,1888650,0,0,1910,1988,0, , ,5.81,6.02,6,6.5,1,1004950042,0,43,985245,202360,12c, ,101N075,10206, ,0, ,1, , 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,17V1.1,0,259.2032228,2629.246336,329400,16,0,5171,5171,12,2700,34.88000107,38.96666718,4.086666107,35.47983424,1.351234099,425.7580109 +5172,MN,97,55,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,245 WATER STREET,C6-2A, , , , , ,LM, , , ,N,B1,1,0, ,"LEVINE,JOSHUA",2820,13015,0,13015,0,0,0,0,0,0,2,1,5,2,2,37.75,76.33,37.75,76.33, ,3,Y,5,2,75787,382652,1550,1550,1900,2006,0,South Street Seaport Historic District, ,4.62,6.02,6,6.5,1,1000970055,0,1501,983625,197185,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,226.7994991,2757.581008,306865,4,1,5172,5172,12,2700,5.993332863,6.336666584,0.343333721,6.021944006,0.094892428,72.26332808 +5173,MN,472,19,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,241 CENTRE STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,A TRENKMANN EST INC,4317,26065,26065,0,21300,3500,0,0,0,1265,2,1,7,0,14,67.08,65.33,67,60,E,3,N,5,2,585000,2334600,0,0,1910,1987,0,SoHo-Cast Iron Historic District Extensi, ,6.04,0,5,6.5,1,1004720019,0,45,984718,201731,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,260.4926265,4236.832163,1749600,0,0,5173,5173,18,4050,28.8239994,31.62999916,2.805999756,28.98144383,0.64240093,521.6659889 +5174,MN,345,20,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,155 RIDGE STREET,R7A, , , , , , , , , ,N,D1,3,0, ,SIDE KICKS RIDGE ASSO,10000,35045,0,35045,0,0,0,0,0,0,2,1,5,56,56,100,100,100,86, ,3,N,5,1,405000,2390850,0,0,1940,0,0, , ,3.5,4,0,4,1,1003450020,0,2201,989048,201775,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,404.0514675,10203.14257,1985850,1,0,5174,5174,45,10125,18.41222191,20.5988884,2.186666489,18.56991331,0.473085766,835.6460991 +5175,MN,804,54,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,124 WEST 29 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,BRISAM WEST 29 LLC,5925,80122,0,0,0,0,0,0,0,0,2,1,26,0,1,60,98.75,60,98.75, ,0,N,5,5,1980000,24663150,0,0,2006,0,0, , ,13.52,0,10,10,1,1008040054,0,95,986631,211420,8d, ,105S023,10305, ,0, ,1, , 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,17V1.1,0,246.3072484,2492.686502,515250,16,0,5177,5177,9,2025,29.04899979,29.04899979,0,29.04899979,0,261.4409981 +5178,MN,482,41,102,45,1001,2,1,10013,E055,5,15,6800,1,2,1A,424 BROOME STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,BROOME ST ASTISTS COR,2675,17654,2270,15384,0,2270,0,0,0,0,2,1,7,6,7,25,106.33,25,97, ,3,N,5,2,164002,960862,7080,7080,1900,2015,0,SoHo-Cast Iron Historic District Extensi, ,6.6,0,5,6.5,1,1004820041,0,45,984662,202126,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,274.5136574,2849.715114,796860,0,0,5178,5178,13,2925,30.94300079,31.07922173,0.136220932,30.95347933,0.036298704,402.3952312 +5179,MN,928,17,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,329 EAST 22 STREET,R8B, , , , , , , , , ,N,G1,10,0, ,"BENAU, DANNY",7406,26929,26929,0,200,0,26729,0,0,0,2,1,4,0,2,75,98.75,75,98.75, ,3,N,5,2,945000,2082150,0,0,1929,0,0, , ,3.64,4,0,4,1,1009280017,0,64,989871,207698,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,351.7490597,7565.711374,1137150,11,0,5179,5179,33,7425,14.22500038,14.22500038,0,14.22500038,0,469.4250126 +5180,MN,622,24,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,93 PERRY STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,GREEN TOMATO LLC,2376,5370,0,5370,0,0,0,0,0,0,2,2,3,16,16,25,96,18,36, ,0,N,5,1,427500,1152450,0,0,1900,0,0,Greenwich Village Historic District, ,2.26,3.44,2,6.5,1,1006220024,0,73,982781,207221,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,244.6280632,2488.216739,724950,8,0,5180,5180,11,2475,22.42000008,22.42000008,0,22.42000008,0,246.6200008 +5181,MN,107,26,101,15.01,3003,2,1,10038,E006,1,15,7700,1,1, ,259 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,L9,6,0, ,40 DOVER LLC,2122,8488,8488,0,6488,2000,0,0,0,0,2,1,4,0,4,23.33,73.25,25,69, ,2,Y,3,0,157950,788400,0,0,1910,1985,0,South Street Seaport Historic District, ,4,6.02,6,6.5,1,1001070026,0,1501,984120,197266,12d, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,227.768787,2365.084786,630450,4,1,5181,5181,10,2250,5.993332863,5.993332863,0,5.993332863,0,59.93332863 +5182,MN,200,5,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,76 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"JING WEI, INC.",2563,6250,1275,4975,0,1275,0,0,0,0,2,1,5,12,13,25.5,100.5,26,50, ,2,Y,5,2,96750,603900,0,0,1915,0,0, , ,2.44,3.44,6,6.5,1,1002000005,0,29,984575,200221,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,255.3029261,2506.528518,507150,14,0,5182,5182,12,2700,28.79299927,33.6277771,4.834777832,29.55314763,1.703417183,354.6377716 +5183,MN,606,77,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,109 WEST 10 STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,SOLAN HOLDING CORP 2,1087,3231,1085,2146,0,1085,0,0,0,0,2,1,3,6,9,51,23.5,51,23, ,3,Y,5,0,122184,203349,0,0,1910,0,0,Greenwich Village Historic District, ,2.97,3.44,2,6.5,1,1006060077,0,71,984488,207020,12c, ,103 017,10209, ,1006060077,10/5/2011,1, , ,17V1.1,0,148.2146061,1143.815969,81165,8,0,5183,5183,5,1125,20.06222153,20.06222153,0,20.06222153,0,100.3111076 +5184,MN,624,17,102,79,4006,2,3,10014,L005,6,15,6100,1,2,3B,605 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,605 HUDSON LTD,2387,9915,1983,7932,0,1983,0,0,0,0,2,1,5,8,10,34.58,76,35,71, ,3,Y,5,2,98714,675594,0,0,1900,1987,0,Greenwich Village Historic District, ,4.15,3.44,2,6.5,1,1006240017,0,79,982583,207884,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,223.3412077,2520.25475,576880,8,0,5184,5184,11,2475,15.52555561,15.52555561,0,15.52555561,0,170.7811117 +5185,MN,875,8,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,105 EAST 19 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,105 EAST 19 STR APT C,4600,26263,0,26263,0,0,0,0,0,0,2,1,6,25,25,50,92,50,81, ,3,N,5,1,576000,3035700,24010,24010,1920,1984,0, , ,5.71,4,0,4,1,1008750008,0,50,987743,208021,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,292.0511227,4788.876776,2459700,5,0,5185,5185,21,4725,30.81999969,30.81999969,0,30.81999969,0,647.2199936 +5186,MN,779,49,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,208 WEST 30 STREET,M1-6D, , , , , , , , , ,N,L1,6,0,P,"FIRST HUDSON CAPITAL,",6814,77556,70725,6831,0,6831,0,63894,0,0,2,1,12,6,30,69,98.75,69,99, ,3,N,5,2,535500,4292100,0,0,1924,0,0, , ,11.38,10,10,10,1,1007790049,0,95,986120,211999,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,349.551305,7398.830005,3756600,6,0,5186,5186,32,7200,31.05999947,33.77555466,2.715555191,31.30482596,0.762115175,1001.754431 +5187,MN,632,55,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,535 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,535 HUDSON REALTY LLC,5115,20273,3500,16773,0,3500,0,0,0,0,2,1,5,30,34,100.17,38.17,38,100, ,2,Y,3,2,468000,3907800,0,0,1910,1983,2015,Greenwich Village Historic District, ,3.96,3.44,2,6.5,1,1006320055,0,75,982474,206920,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,308.4331296,5350.636833,3439800,9,0,5187,5187,22,4950,19.34666634,22.30888748,2.962221146,19.6257573,0.839265354,431.7666607 +5188,MN,136,20,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,124 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,124 CHAMBERS STREET P,1894,10359,6359,4000,0,1725,0,4634,0,0,2,1,6,5,6,25.08,75.5,25,75, ,3,Y,5,2,138150,835650,0,0,1920,1985,0,Tribeca South Historic District Extensio, ,5.47,7.52,6,7.5,1,1001360020,0,21,981791,199817,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,204.4227206,1950.37526,697500,3,0,5188,5188,9,2025,25.24200058,25.35044479,0.108444214,25.25404994,0.034080728,227.2864494 +5189,MN,717,77,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,460 WEST 20 STREET,R8A,R7B, , ,C2-5, , , , , ,Y,D7,4,0, ,TENTH AVENUE ASSOCIAT,10750,68260,10000,58260,0,8000,0,2000,0,0,2,1,9,73,75,100,109,109,78, ,1,Y,3,2,580500,10570950,0,0,1999,0,0,Chelsea Historic District, ,6.35,6,0,6,1,1007170077,0,89,982762,210877,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,426.4624573,11350.96979,9990450,7,1,5189,5189,50,11250,9.621110916,10.70888901,1.087778091,9.731866474,0.302214341,486.5933237 +5190,MN,824,52,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,24 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0,P,CLIFTON NEW YORK S A,2765,10136,9156,980,5152,4004,0,0,0,0,2,1,4,1,5,28,98.75,28,98,E,3,N,5,2,353250,2161800,0,0,1880,2007,0,Ladies' Mile Historic District, ,3.67,10,10,10,1,1008240052,0,58,986807,209512,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,259.1012601,2923.016323,1808550,2,0,5190,5190,14,3150,34.46500015,39.14777756,4.682777405,34.79948425,1.205999575,487.1927795 +5191,MN,273,21,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,32 RUTGERS STREET,R7-2, , , , , , , , , ,N,K1,5,0, ,NEW SHUN XING INC.,2115,1925,1925,0,0,1925,0,0,0,0,2,1,1,0,1,25,84.58,25,85, ,2,N,5,2,81000,486900,0,0,1910,1960,0, , ,0.91,3.44,0,6.5,1,1002730021,0,6,986939,198981,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,226.0029193,2231.288364,405900,16,0,5191,5191,12,2700,23.87533379,23.87533379,0,23.87533379,0,286.5040054 +5192,MN,745,50,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,322 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,322 WEST 22ND STREET,2468,6305,0,6305,0,0,0,0,0,0,2,1,4,8,8,25,98.75,25,46,E,3,N,5,2,111124,519048,0,0,1900,1982,0,Chelsea Historic District Extension, ,2.55,3,0,3,1,1007450050,0,89,984202,210660,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,247.5770267,2432.259253,407924,7,0,5192,5192,10,2250,15.9989996,19.2266674,3.227667809,16.42886639,0.985749771,164.2886639 +5193,MN,164,45,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,21 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,EAST OCEAN LLC,2210,9713,2100,7613,0,2100,0,0,0,0,2,1,5,13,15,26.5,85,26,80,E,2,Y,3,2,110250,971100,0,0,1915,0,0, , ,4.4,3.44,6,6.5,1,1001640045,0,29,984520,199556,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,235.2469068,2521.216295,860850,14,0,5193,5193,11,2475,25.58300018,32.54555511,6.962554932,27.24176788,2.728208179,299.6594467 +5194,MN,349,33,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,156 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,"ABC NO RIO, INC.",2300,7415,2000,5415,0,2000,0,0,0,0,2,2,4,3,4,23,100,23,48,E,3,N,5,5,63080,102168,63080,102168,1900,1986,0, , ,3.22,4,0,4,1,1003490033,0,3001,988312,201367,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,254.2326157,2393.324372,39088,13,0,5194,5194,9,2025,25.82333374,28.06500053,2.241666794,27.445062,0.924933774,247.005558 +5195,MN,472,15,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,253 CENTRE STREET,M1-5B, , , , , , , , , ,N,M1,8,0, ,A TRENKMANN EST INC,1317,3924,3924,0,0,0,0,0,0,3924,2,1,3,0,1,25,52.67,25,53, ,2,N,5,0,207450,527400,0,0,1900,1986,0,SoHo-Cast Iron Historic District Extensi, ,2.98,0,5,6.5,1,1004720015,0,45,984788,201825,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,158.4637668,1342.516051,319950,0,0,5195,5195,6,1350,28.8239994,28.8239994,0,28.8239994,0,172.9439964 +5196,MN,712,14,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,421 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,413 WEST 14 ASSOCS,17208,53685,53685,0,33396,16698,0,3591,0,0,2,2,3,0,28,166.67,103.25,167,97, ,3,N,5,0,3375000,14856750,0,0,1913,2004,2016,Gansevoort Market Historic District, ,3.12,0,5,6.5,1,1007120014,0,83,982423,209520,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,551.0334766,18250.50297,11481800,7,0,5196,5196,81,18225,12.4989996,13.55000019,1.051000595,12.54695985,0.210675624,1016.303748 +5197,MN,772,79,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,264 WEST 23 STREET,C2-7A, , , , , , , , , ,N,C7,4,0, ,"GROVE ASSOCIATES,",2173,6750,1375,5375,0,1375,0,0,0,0,2,1,5,9,10,22,98.75,22,98,E,2,N,5,2,174243,644699,2360,2360,1910,1983,0, , ,3.11,7.52,2,7.5,1,1007720079,0,91,984747,210652,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,244.9702533,2050.448549,470456,2,0,5197,5197,9,2025,22.16600037,23.0933342,0.927333832,22.26903746,0.291432907,200.4213371 +5198,MN,925,36,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,333 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,"333 FIRST AVENUE, LLC",1840,4232,800,3432,0,800,0,0,0,0,2,1,4,6,7,23,80,22,46, ,3,N,5,2,112748,389428,0,0,1910,1961,0, , ,2.3,4,2,4,1,1009250036,0,64,989667,206969,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,213.7743072,1947.640837,276680,5,0,5198,5198,9,2025,15.27999973,15.98777771,0.707777977,15.35864173,0.222433159,138.2277756 +5199,MN,592,42,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,84 GROVE STREET,R6, , , , , , , , , ,N,D1,3,0, ,84 86 GROVE ST CP,4215,16400,0,16400,0,0,0,0,0,0,2,3,5,20,20,40,100,40,88, ,3,Y,4,2,309600,1636200,0,0,1885,1989,0,Greenwich Village Historic District, ,3.89,2.43,0,4.8,1,1005920042,0,71,983679,206446,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,306.398339,4267.448675,1326600,9,0,5199,5199,19,4275,17.50333405,21.52777863,4.02444458,18.13435153,1.245662701,344.5526791 +5200,MN,583,46,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,15 ST LUKES PLACE,R6, , , , , , , , , ,N,B1,1,0, ,"SPITZER, SHERI J.",2167,4576,0,3432,0,0,0,0,0,0,2,1,2,2,2,21.67,100,21.67,52,E,3,N,5,1,49911,158256,0,0,1899,0,0,Greenwich Village Historic District, ,2.11,2.43,0,4.8,1,1005830046,0,67,982732,205350,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,250.975299,2328.689261,108345,9,0,5200,5200,10,2250,15.38333321,17.97999954,2.596666336,16.06144428,1.048115447,160.6144428 +5201,MN,799,11,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,159 WEST 23 STREET,C6-3X, , , , , , , , , ,N,L8,6,0, ,159 WEST 23RD STREETR,2452,8845,8845,0,0,3973,0,4872,0,0,2,1,5,6,7,25,98.75,25,94,E,3,N,5,2,414000,667350,0,0,1920,1986,0, , ,3.61,9,6,9,1,1007990011,0,91,985711,210342,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,259.8516279,2694.098856,253350,2,0,5201,5201,13,2925,29.26199913,29.26199913,0,29.26199913,0,380.4059887 +5202,MN,286,9,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,225 HENRY STREET,R7-2, , , , , , , , , ,N,C0,2,0,P,LAU YUK CHUN,2064,2898,0,2898,0,0,0,0,0,0,2,1,3,3,3,23.58,87.5,23.58,42,E,3,N,5,2,10656,46190,0,0,1901,0,0, , ,1.4,3.44,0,6.5,1,1002860009,0,201,988044,199370,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,232.1485842,2226.075609,35534,13,0,5202,5202,10,2250,29.71888924,30.48666573,0.767776489,29.83844471,0.250906327,298.3844471 +5203,MN,53,39,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,96 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,K9,5,0, ,AUGUSTUS H. LAWRENCE,1820,4040,3140,900,900,2240,0,0,0,0,2,1,3.5,1,2,20,91,20,68, ,3,N,5,2,256500,377550,0,0,1930,2012,0, , ,2.22,10,15,15,1,1000530039,0,13,980429,197298,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,239.7498546,1985.123644,121050,15,1,5203,5203,8,1800,7.869999886,7.869999886,0,7.869999886,0,62.95999908 +5204,MN,406,62,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,505 EAST 12 STREET,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,AVENUE A CORNER OWNER,1139,3574,800,2774,0,800,0,0,0,0,2,1,4,3,4,22,51.75,22,40, ,3,N,5,5,22805,181218,0,0,1910,1988,0, , ,3.14,4,0,4,1,1004060062,0,34,989561,204889,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,150.9014581,1175.914407,158413,12,0,5204,5204,5,1125,13.0880003,16.98999977,3.901999474,14.64791126,1.910493471,73.23955631 +5205,MN,509,13,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,278 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,S4,4,0, ,"278 MULBERRY STREET,",1796,4700,1000,3700,0,1000,0,0,0,0,2,1,4,4,5,19.75,90.92,20,52, ,3,N,5,5,37874,137862,0,0,1915,0,0, , ,2.62,6.02,6,6.5,1,1005090013,0,43,985637,203140,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,224.0444365,1823.919352,99988,9,0,5205,5205,8,1800,42.24222183,42.39555359,0.153331757,42.2613883,0.050709712,338.0911064 +5206,MN,831,7501,105,76,2005,2,4,10001,E001,14,15,5200,1,5, ,24 WEST 30 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,2469,24302,8489,15813,3958,2552,0,0,0,1979,2,1,12,8,12,25,98.75,25,96,E,3,N,5,5,754204,2956500,0,0,1910,0,0, , ,9.84,0,10,10,1,1008317501,2395,76,987620,211168,8d, ,104 015,10306, ,1008310053,7/11/2013,1, , ,17V1.1,7,247.5787429,2469.658518,2202300,10,0,5206,5206,11,2475,41.02666855,44.50777817,3.481109619,41.34313306,1.000748653,454.7744637 +5207,MN,284,7501,103,6,3001,2,1,10002,E015,7,14,7800,1,3, ,155 HENRY STREET,R7-2, , , , , , , , , ,N,RZ,4,0,P,DIVINE GRACE CONDO,4942,18316,2629,15687,0,2629,0,0,0,0,2,1,5,24,28,66,75,0,0, ,0,N,5,5,265499,1936798,26068,90724,1907,1986,0, , ,3.71,3.44,0,6.5,1,1002847501,163,6,987145,199264,12d, ,101N056,10107, ,1002840002,12/27/1984,1, , ,17V1.1,7,291.3970899,5259.723683,1671300,16,0,5207,5207,24,5400,20.93000031,20.93000031,0,20.93000031,0,502.3200073 +5208,MN,461,31,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,95 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,S4,4,0, ,"IN GROUP, .",2494,7719,1544,6175,0,1544,0,0,0,0,2,1,5,4,5,23.75,105,24,80, ,3,Y,5,5,198235,295477,0,0,1910,1987,0,East Village/Lower East Side Historic Di, ,3.1,4,0,4,1,1004610031,0,38,987282,204237,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,271.1331496,2682.65267,97242,1,0,5208,5208,13,2925,36.55199814,36.95666504,0.404666901,36.5951095,0.112270721,475.7364235 +5209,MN,790,44,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,110 WEST 15 STREET,C6-2A, , , , , , , , , ,N,C3,2,0, ,"BUBBLE & SQUEAK, LLC",1665,5200,0,5200,0,0,0,0,0,0,2,1,4,4,4,20,83.25,20,50, ,2,N,5,5,260692,437136,0,0,1890,1982,0, , ,3.12,6.02,6,6.5,1,1007900044,0,81,985055,208202,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,213.3396835,1731.381386,176444,7,0,5209,5209,8,1800,27.73777771,31.83444405,4.096666336,28.52388883,1.442426319,228.1911106 +5210,MN,615,21,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,252 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,ARDK HOLDINGS,1764,4073,0,3023,0,0,0,0,0,0,2,1,3.5,1,1,20.67,85.17,20.67,44,E,3,Y,5,1,136398,262606,0,0,1910,0,2011,Greenwich Village Historic District, ,2.31,2.43,0,4.8,1,1006150021,0,77,983495,207941,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,216.6697657,1812.460323,126208,8,0,5210,5210,8,1800,23.05999947,24.39777756,1.337778091,23.22722173,0.442428517,185.8177738 +5211,MN,631,39,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,533 HUDSON STREET,C1-6, , , , , , , , , ,N,S5,4,0,P,NEVINS REALTY LLC,1324,2609,1000,1609,0,1000,0,0,0,0,2,1,3.5,5,6,27.58,74.92,27,70,E,3,Y,3,5,176738,380432,0,0,1910,0,0,Greenwich Village Historic District, ,1.97,3.44,2,6.5,1,1006310039,0,75,982456,206805,12a, ,103 012,10210, ,0, ,1, , 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,17V1.1,0,240.0186992,1348.060811,120476,5,0,5213,5213,6,1350,27.68333435,32.59555435,4.912220001,29.31296349,2.304682995,175.8777809 +5214,MN,818,14,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,39 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C5,2,0,P,37-39 WEST 16TH STREE,1518,4720,0,4720,0,0,0,0,0,0,2,1,5,10,10,16.5,92,17,52, ,3,N,5,2,79901,248461,0,0,1920,1962,0, , ,3.11,6.02,6,6.5,1,1008180014,0,54,985690,208319,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,225.4000081,1671.454484,168560,7,0,5214,5214,6,1350,31.11599922,32.67333221,1.557332993,31.55177689,0.63295946,189.3106613 +5215,MN,459,1,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,347 BOWERY,C6-1, , , , , , , , , ,N,D7,4,0,P,"347 BOWERY OWNER, LLC",4937,30772,12692,18080,3997,8695,0,0,0,0,2,1,13,5,7,51.17,93.75,51.17,86.61, ,2,Y,3,2,493387,738082,0,0,2015,2014,2015, , ,6.23,3.44,6,6.5,1,1004590001,0,38,986631,203931,12c, , , , ,0, ,1, , ,17V1.1,0,302.9429614,4874.447135,244695,1,0,5215,5215,21,4725,35.86666489,41.95333481,6.086669922,36.21122633,1.292426483,760.4357529 +5216,MN,450,16,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,324 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,324 EAST 9TH ST INC,3522,13234,2206,11028,0,2206,0,0,0,0,2,1,6,22,25,37.5,93.92,38,82, ,3,N,5,2,270450,1086300,0,0,1910,1986,0, , ,3.76,4,0,4,1,1004500016,0,38,988028,204721,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,268.3922543,3570.987302,815850,12,0,5216,5216,14,3150,25.4810009,29.52777863,4.046777725,25.86577851,1.072365489,362.1208992 +5217,MN,449,8,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,40 1/2 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,40 12 ST MARKS LLC,665,2769,553,2216,0,553,0,0,0,0,2,1,5,4,5,19,35,19,35,E,3,N,5,5,78552,117287,0,0,1900,1987,0, , ,4.16,4,0,4,1,1004490008,0,38,987755,204620,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,113.3191605,744.064472,38735,12,0,5217,5217,4,900,26.66699982,32.53666687,5.869667053,28.13441658,2.54164039,112.5376663 +5218,MN,164,66,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,28 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,WONG'S MILLENNIUM II,1862,10500,3054,7446,0,3054,0,0,0,0,2,1,6,10,11,33.33,54,33,52, ,2,Y,3,2,198000,500400,0,0,1910,1989,0, , ,5.64,3.44,6,6.5,1,1001640066,0,29,984409,199544,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,178.8366312,1860.616449,302400,14,0,5218,5218,9,2025,20.62111092,25.58300018,4.961889267,24.95756806,1.547210602,224.6181126 +5219,MN,422,7501,103,36.01,2000,1,1,10002,L018,5,14,6500,2,3, ,241 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,RM,4,0, ,A C M L BUILDING MGMT,3750,14188,3603,10585,0,3603,0,0,0,0,2,1,6,10,12,0.08,0,0,0, ,0,N,5,5,180001,1624949,7080,7080,1900,0,0, , ,3.78,4,4,4,1,1004227501,397,3601,987039,202567,12c, ,102 002,10204, ,1004220059,12/31/1987,1, , ,17V1.1,7,278.9986742,3765.473249,1444950,1,0,5219,5219,16,3600,36.93666458,38.17778015,1.24111557,37.0142343,0.300426246,592.2277489 +5220,MN,635,40,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,119 BANK STREET,R6, , , , , , , , , ,N,C4,2,0, ,117 LIMITED PARTNERSH,2865,9505,0,9505,0,0,0,0,0,0,2,1,5,20,20,25.67,114.17,26,73, ,3,Y,5,2,432450,1371150,0,0,1901,0,0,Greenwich Village Historic District, ,3.32,2.43,0,4.8,1,1006350040,0,79,982145,207610,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,283.9128883,2953.478155,938700,8,0,5220,5220,14,3150,13.34599972,13.34599972,0,13.34599972,0,186.843996 +5221,MN,618,32,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,62 7 AVENUE,C6-3A, , , , , , , , , ,N,C7,4,0,P,WAVERLY REALTY CO.,2600,12239,5200,7039,0,5200,0,0,0,0,2,1,5,12,18,26,100,26,98, ,3,N,3,2,787500,3134700,0,0,1901,1983,0, , ,4.71,7.52,6,7.5,1,1006180032,0,77,984221,208346,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,260.0007197,2897.604968,2347200,8,0,5221,5221,13,2925,22.30444527,27.65666771,5.352222443,22.979317,1.627395407,298.7311211 +5222,MN,874,62,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,74 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,C5,2,0, ,S.J.C. LLC,2773,8100,0,8100,0,0,0,0,0,0,2,2,4,18,18,26,106.67,26,56, ,0,N,5,5,206100,1019700,0,0,1900,1972,0,Gramercy Park Historic District, ,2.92,4,0,4,1,1008740062,0,50,988013,207676,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,267.3366173,2799.607778,813600,5,0,5222,5222,12,2700,27.68333435,27.68333435,0,27.68333435,0,332.2000122 +5223,MN,471,43,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,373 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,GOOD LUCK REALTY CORP,3622,18023,5783,12240,0,5783,0,0,0,0,2,1,6,30,33,50.67,74,51,72,E,3,N,3,2,117900,1381050,0,0,1900,2011,0, , ,4.98,6.02,6,6.5,1,1004710043,0,41,985287,201616,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,249.2467677,3750.578866,1263150,0,0,5223,5223,17,3825,28.33399963,37.10333252,8.769332886,29.52994751,2.761346948,502.0091076 +5224,MN,859,87,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,277 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,VICTOR NOMAD LLC,2308,13392,13392,0,11392,2000,0,0,0,0,2,1,6,0,6,23.08,100,23,100,E,3,N,5,2,540000,1781100,0,0,1910,0,0, , ,5.8,10,10,10,1,1008590087,0,74,988060,210907,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,257.4633772,2425.670558,1241100,10,0,5224,5224,11,2475,40.70700073,40.70700073,0,40.70700073,0,447.7770081 +5225,MN,784,1,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,480 8 AVENUE,C6-4M, , , , , , , , , ,N,K2,5,0, ,VORNADO NEW YORK RRON,3505,14000,14000,0,0,14000,0,0,0,0,2,1,4,0,2,58.42,60,58,60,E,3,N,3,2,2475000,6440400,0,0,1987,0,0, , ,3.99,10,10,10,1,1007840001,0,109,986166,213348,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,253.0094488,4000.313562,3965400,6,0,5225,5225,17,3825,34.68444443,34.68444443,0,34.68444443,0,589.6355553 +5226,MN,578,78,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,574 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,S2,4,0, ,BAER 574 BROOME STREE,1899,5355,2295,3060,2295,0,0,0,0,0,2,1,4,2,3,22.5,84.42,22.5,68, ,0,N,5,5,37579,93726,0,0,1915,0,0, , ,2.82,0,10,10,1,1005780078,0,37,982378,203293,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,218.8139855,1967.988635,56147,0,1,5226,5226,9,2025,11.90100002,13.05666733,1.155667305,12.0294075,0.363191195,108.2646675 +5227,MN,821,7503,105,54,1002,2,3,10011,E014,13,15,5700,1,5, ,650 AVENUE OF THE AMER,C6-2A,C6-4A, , , , , , , , ,Y,RM,4,0, , ,18675,110630,27130,83500,0,27130,0,0,0,0,2,1,7,67,70,115.58,167.33,112,167, ,3,Y,3,5,2024998,22793866,14160,14160,1906,1987,2007,Ladies' Mile Historic District, ,5.92,6.02,6,6.5,1,1008217503,1709,54,985939,209117,8d, ,102 041,10306, ,1008210072,9/18/2007,1, , ,17V1.1,7,584.7746886,20738.75464,20768900,7,0,5227,5227,91,20475,32.91555405,35.55444717,2.638893127,33.09952491,0.593038629,3012.056767 +5228,MN,178,19,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,225 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,NUR ASHKI JERRAHI COM,1796,3875,3875,0,1796,2079,0,0,0,0,2,1,3,0,2,35,50.08,35,50, ,3,Y,5,2,41400,931500,0,0,1915,1989,0,Tribeca East Historic District, ,2.16,6.02,6,6.5,1,1001780019,0,33,982579,201307,12a, ,101S036,10105, ,0, ,1, ,1,17V1.1,0,207.2221155,1904.606033,890100,14,1,5228,5228,8,1800,9.793333054,9.793333054,0,9.793333054,0,78.34666443 +5229,MN,521,84,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,294 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,K4,4,0, ,"SHONG REALITY, .",4232,15272,15272,0,0,3818,0,11454,0,0,2,1,4,0,2,46.33,93.42,46,92, ,2,N,5,2,380700,1825200,0,0,1910,1984,0, , ,3.61,3.44,6,6.5,1,1005210084,0,5502,986226,203233,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,287.6236126,4607.767355,1444500,9,0,5229,5229,21,4725,43.41222,43.41222,0,43.41222,0,911.65662 +5230,MN,470,60,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,132 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,116 ELIZABETH & 132 B,2435,6214,6214,0,2550,3664,0,0,0,0,2,1,3,0,2,24.75,103.17,25,102, ,3,Y,5,2,270000,1078650,0,0,1900,1967,0, , ,2.55,3.44,6,6.5,1,1004700060,0,41,985646,201214,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,256.9012259,2555.217954,808650,0,0,5230,5230,11,2475,31.67711258,31.67711258,0,31.67711258,0,348.4482384 +5231,MN,774,55,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,226 WEST 25 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,226-228 W. 25 REALTY,2938,11055,0,11055,0,0,0,0,0,0,2,1,5,18,18,25,117.5,25,107, ,3,N,5,2,167400,991350,0,0,1925,1987,0, , ,3.76,6,0,6,1,1007740055,0,91,985399,210916,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,298.5316406,3237.292208,823950,2,0,5231,5231,14,3150,24.85199928,24.85199928,0,24.85199928,0,347.92799 +5232,MN,927,22,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,337 EAST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,335 ASSOCIATES,2500,5100,0,5100,0,0,0,0,0,0,2,1,4,16,16,25,100,25,60, ,3,N,5,2,135000,600750,0,0,1910,0,0, , ,2.04,4,0,4,1,1009270022,0,64,989812,207437,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,253.7431598,2350.782508,465750,5,0,5232,5232,11,2475,12.9244442,17.1277771,4.203332901,14.25040384,1.67876942,156.7544422 +5233,MN,280,31,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,59 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0, ,59 EAST BROADWAY LLC,1875,10263,10263,0,6863,3400,0,0,0,0,2,1,6,0,7,25,75,25,68,E,3,N,5,2,180000,1085400,0,585000,1900,0,0, , ,5.47,3.44,6,6.5,1,1002800031,0,8,985561,199196,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,204.521058,1887.070323,905400,16,0,5233,5233,8,1800,29.04899979,29.04899979,0,29.04899979,0,232.3919983 +5234,MN,156,50,101,31,1014,2,1,10278,L001,5,15,7700,1,1,3A,306 BROADWAY,C6-4, , , , , , , , , ,N,O4,5,0,P,US GENERAL SERVICES A,71586,905500,905500,0,905500,0,0,0,0,0,2,1,41,0,41,396.44,180.64,243,73, ,2,Y,3,0,12465000,89496450,12465000,89496450,1977,0,0, , ,12.65,10,10,10,1,1001560050,0,31,982978,199976,12b,Y,101S034,10105, ,0, ,1, , ,17V1.1,0,1147.037536,69105.19206,77031400,14,0,5234,5234,305,68625,28.31800079,36.23333359,7.915332794,30.99631347,2.640275656,9453.875608 +5235,MN,833,43,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,310 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,JACKSON FLANNERY RLTY,2480,15925,15925,0,13625,2300,0,0,0,0,2,1,7,0,6,24.67,100,25,100,E,3,N,5,2,526500,1553400,0,0,1924,1988,0, , ,6.42,10,10,10,1,1008330043,0,76,988125,211432,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,253.7866498,2630.394783,1026900,10,0,5235,5235,11,2475,41.76111221,41.76111221,0,41.76111221,0,459.3722343 +5236,MN,828,70,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,40 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,DEZER PROPERTIES CO,4050,48321,48321,0,44321,4000,0,0,0,0,2,1,12,0,13,45.33,98.75,45,97,E,2,Y,5,2,1125000,4667850,0,0,1909,0,0,Madison Square North Historic District, ,11.93,0,10,10,1,1008280070,0,58,986933,210663,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,293.6616629,4573.973167,3542850,2,0,5236,5236,21,4725,42.13444519,44.54555511,2.411109924,42.24925995,0.513467209,887.2344589 +5237,MN,631,26,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,271 WEST 10 STREET,C1-6A, , , , , , , , , ,N,A4,1,0,P,271 WEST 10TH STREET,2619,7657,0,7657,0,0,0,0,0,0,2,1,3,1,1,27,97,27,97, ,3,N,5,2,145312,331701,0,0,1920,2008,0,Greenwich Village Historic District Exte, ,2.92,4,2,4,1,1006310026,0,75,982091,206591,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,257.2190695,2753.179407,186389,9,0,5237,5237,12,2700,17.77111053,19.57333374,1.802223206,17.9212958,0.49810818,215.0555496 +5238,MN,230,15,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,16 GREENE STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,GREENE STREET PRECINC,4400,23628,0,23628,0,0,0,0,0,0,2,2,6,12,12,44,100.08,24,94, ,3,N,5,2,396000,2664000,14570,14570,1920,0,0,SoHo-Cast Iron Historic District, ,5.37,0,5,6.5,1,1002300015,0,47,983540,201897,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,291.4295976,4416.715897,2268000,0,1,5238,5238,20,4500,11.39777756,12.09022236,0.692444801,11.4323998,0.150914846,228.6479959 +5239,MN,529,7505,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2, ,1 BLEECKER STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,2987,9279,3868,5411,0,1879,0,0,0,1989,2,1,4,6,8,89.83,33.25,33.25,59.83, ,0,N,0,5,43547,579093,0,0,1900,0,0,Noho East Historic District, ,3.11,3.44,6,6.5,1,1005297505,843,5502,986337,203567,12c, ,103 010,10207, ,1005290042,12/21/1993,1, , ,17V1.1,7,197.0771077,2245.629505,535546,9,0,5239,5239,11,2475,41.23199844,44.14544678,2.913448334,41.49685738,0.837557507,456.4654312 +5240,MN,37,13,101,7,1015,2,1,10005,E004,1,15,7700,1,1, ,129 FRONT STREET,C6-9, , , , , ,LM, , , ,N,H3,5,0, ,129 FRONT HOTEL LLC,4685,34613,4200,0,0,4200,0,0,0,0,2,1,8,0,1,41.5,110.92,41,117, ,3,Y,3,2,2426400,4181850,0,0,1961,1988,0, , ,7.39,10,15,15,1,1000370013,0,7,982568,196164,12b, ,101S007,10101, ,0, ,1,1,1,17V1.1,0,321.0255803,5011.115449,1755450,4,1,5240,5240,22,4950,5.993332863,5.993332863,0,5.993332863,0,131.853323 +5241,MN,907,3,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,363 3 AVENUE,C2-8, , , , , , , , , ,N,C4,2,0, ,"363 THIRD AVENUE, LLC",2667,9510,1675,7835,0,1675,0,0,0,0,2,1,5,16,17,24.67,108,25,78, ,3,N,5,2,258750,884700,0,0,1930,0,0, , ,3.57,10,2,10,1,1009070003,0,66,989439,209176,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,273.9384107,2753.674564,625950,11,0,5241,5241,13,2925,35.85699844,38.2266655,2.369667053,36.03928052,0.631443651,468.5106468 +5242,MN,286,25,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,251 EAST BROADWAY,R7-2, , , , , , , , , ,N,C4,2,0,P,251 E. BROADWAY ASSOC,1725,6681,0,6681,0,0,0,0,0,0,2,1,5,11,11,23,75,23,63, ,3,N,5,2,117000,373500,0,0,1910,0,0, , ,3.87,3.44,0,6.5,1,1002860025,0,201,988196,199484,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,202.9879793,1796.45273,256500,13,0,5242,5242,9,2025,30.16900063,33.54766846,3.378667831,30.8200993,1.147703321,277.3808937 +5243,MN,144,7503,101,33,3022,2,1,10013,E007,1,15,7700,3,1, ,159 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,85 WEST BROADWAY OWNE,1860,10795,1891,8904,0,1891,0,0,0,0,2,1,6,4,5,25,74.58,25,74.58, ,0,N,0,5,110930,1041524,0,0,1910,2000,2009,Tribeca West Historic District, ,5.8,6.02,6,6.5,1,1001447503,2187,33,981848,200476,12a, ,101S035,10104, ,1001440014,8/3/2010,1, , ,17V1.1,7,201.4962691,1893.626383,930594,14,0,5243,5243,8,1800,11.09777832,11.09777832,0,11.09777832,0,88.78222656 +5244,MN,625,17,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,321 WEST 12 STREET,C1-6, , , , , , , , , ,N,C0,2,0,P,"BRANDSTON, SARA S",1408,3168,0,2376,0,0,0,0,0,0,2,1,3,3,3,22,62.83,22,36, ,3,Y,5,1,38624,149110,0,0,1899,0,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1006250017,0,79,982574,208047,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,175.2788313,1426.634334,110486,8,0,5244,5244,10,2250,15.4800005,17.84222221,2.362221718,15.9963336,0.827513904,159.963336 +5245,MN,519,55,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,19 CHARLTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,19 CHARLTON STREET LL,2333,4140,0,3036,0,0,0,0,0,0,2,1,3,3,3,23.33,100,23.33,42, ,3,N,5,1,44887,151221,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.77,2.43,0,4.8,1,1005190055,0,37,983120,204231,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,248.7130523,2362.38715,106334,0,0,5245,5245,8,1800,16.83888817,21.87444496,5.035556793,19.19236088,2.358244407,153.538887 +5246,MN,11,7501,101,9,1003,2,1,10004,L015,1,15,7700, ,1, ,15 STONE STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,2242,9132,3671,5461,0,3671,0,0,0,0,2,1,5,3,4,25.4,91.4,25,0, ,0,N,0,5,109892,948455,0,202500,1900,2006,0, , ,4.07,10,15,15,1,1000117501,2099,9,980899,195838,12b, ,11S 001,10101, ,1000110027,1/21/2010,1,1,1,17V1.1,7,222.436989,2055.068907,838563,17,1,5246,5246,5,1125,8.743000031,8.743000031,0,8.743000031,0,43.71500015 +5247,MN,452,24,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,332 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"CANNON, LLC",2369,9350,1870,7480,0,1870,0,0,0,0,2,1,5,14,15,25,94.75,25,71,E,2,N,5,2,214200,1447650,0,0,1900,1982,0, , ,3.95,4,0,4,1,1004520024,0,40,988438,205059,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,242.9458524,2443.347642,1233450,12,0,5247,5247,11,2475,22.86222267,22.86222267,0,22.86222267,0,251.4844494 +5248,MN,770,45,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,206 WEST 21 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,C1,2,0, ,"RHUMB W 21,",4950,11864,0,11864,0,0,0,0,0,0,2,1,4,47,47,47.25,102.08,47,71, ,3,Y,5,2,392850,2254050,0,0,1920,1987,0, , ,2.4,4,0,4,1,1007700045,0,87,985012,209914,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,306.9444438,5091.181087,1861200,7,0,5248,5248,21,4725,22.20999908,28.14666748,5.936668396,23.90442276,2.40689567,501.992878 +5249,MN,731,48,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,423 9 AVENUE,C6-4, , , , , ,HY, , , ,N,K1,5,0, ,402 PRASINOS LLC,6320,6320,6320,0,0,6320,0,0,0,0,2,1,1,0,6,79,80,78,76, ,3,N,3,2,585000,2609550,0,0,1960,0,0, , ,1,10,10,10,1,1007310048,0,103,985153,213722,8d, ,105S018,10302,E-137,0, ,1, , ,17V1.1,0,324.5200706,6581.878077,2024550,6,0,5249,5249,30,6750,43.60599899,47.8955574,4.289558411,43.89735463,1.032398877,1316.920639 +5250,MN,350,61,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,315 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C3,2,0,P,MYEROWTZ/SALTZ RLTYCO,1080,2800,0,2800,0,0,0,0,0,0,2,1,4,4,4,20,54,20,36, ,0,N,5,5,32800,48267,0,0,1910,0,0, , ,2.59,6,0,6,1,1003500061,0,2201,988878,201976,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,152.418451,1134.011352,15467,1,0,5250,5250,5,1125,19.81333351,20.96111107,1.147777557,20.04288902,0.459111023,100.2144451 +5251,MN,612,59,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,51 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,"LANYARD REALTY CO.,L.",1585,4777,825,3952,0,825,0,0,0,0,2,1,5,8,9,21,77.75,21,76,E,3,Y,5,2,196610,453523,0,0,1910,0,0,Greenwich Village Historic District, ,3.01,3.44,2,6.5,1,1006120059,0,71,984013,207302,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,195.7431877,1599.692697,256913,8,0,5251,5251,7,1575,21.78555489,23.00111198,1.215557098,21.9592059,0.425356378,153.7144413 +5252,MN,463,32,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,125 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,BOHDANOWYCZ ROMAN,3360,18438,2634,15804,0,2634,0,0,0,0,2,1,7,26,28,28,120,28,103, ,3,N,5,2,468000,1181250,0,0,1900,1988,0,East Village/Lower East Side Historic Di, ,5.49,4,0,4,1,1004630032,0,38,987506,204657,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,304.2882191,3476.02455,713250,12,0,5252,5252,17,3825,34.15777969,36.23110962,2.073329926,34.27974028,0.487842335,582.7555847 +5253,MN,851,13,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,21 EAST 22 STREET,C6-4M, , , , , , , , , ,N,D4,3,0, ,13-21 EAST 22ND ST RE,14382,149276,10000,139276,0,10000,0,0,0,0,2,1,12,134,135,145.67,98.75,145,85,E,0,N,5,2,2718000,17039250,163111,163111,1911,1981,0, , ,10.38,10,10,10,1,1008510013,0,56,987450,209034,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,504.1519747,15451.69946,14321300,11,0,5253,5253,69,15525,32.49111176,39.43888855,6.947776794,32.86911492,1.525543753,2267.968929 +5254,MN,910,51,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,220 EAST 30 STREET,R7B, , , , , , , , , ,N,S2,4,0, ,"BAUM, BRENDA",1852,4243,1108,3135,0,1108,0,0,0,0,2,1,3,2,3,18.75,98.75,18.75,48, ,3,N,5,5,181734,198815,0,0,1899,0,0, , ,2.29,3,0,3,1,1009100051,0,70,990027,209833,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,236.5284005,1830.17609,17081,10,0,5254,5254,9,2025,34.37666702,38.84666824,4.470001221,36.08481513,1.727643878,324.7633362 +5255,MN,132,7502,101,21,2004,2,1,10007,L010,1,15,7700,1,1, ,71 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,1875,11537,4337,7200,0,0,0,0,0,4337,2,1,5,4,5,25,75,0,0, ,0,N,0,5,85097,528926,2360,2360,1893,0,0, , ,6.15,6.02,6,6.5,1,1001327502,837,21,981440,199748,12b, ,101S015,10104, ,1001320028,9/2/1993,1, , ,17V1.1,7,207.43664,2032.544575,443829,3,0,5255,5255,10,2250,17.78899956,20.82444382,3.03544426,18.09254398,0.910633278,180.9254398 +5256,MN,822,8,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,47 WEST 20 STREET,C6-4A, , , , , , , , , ,N,K2,5,0,P,MANSION REALTY LLC,2694,7500,7500,0,0,7500,0,0,0,0,2,1,3,0,1,38,92,36,80, ,2,Y,5,2,616500,1738350,0,0,1920,2015,2009,Ladies' Mile Historic District,CHURCH OF THE HOLY COMMUNION RECTOR,2.78,10,10,10,1,1008220008,0,54,986098,209198,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,270.8312472,2887.912085,1121850,7,0,5256,5256,13,2925,34.23199844,35.36333466,1.131336212,34.31902431,0.301466431,446.147316 +5257,MN,489,8,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,71 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,C6,2,0, ,71 SULLIVAN OWNERS CO,2500,11628,1453,10175,0,1453,0,0,0,0,2,1,6,22,24,25,100,25,86, ,3,N,5,2,121500,1549350,9440,9440,1900,1986,0,Sullivan-Thompson Historic District, ,4.65,0,5,6.5,1,1004890008,0,47,983203,203194,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,258.5724224,2642.838783,1427850,0,1,5257,5257,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +5258,MN,886,71,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,178 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,176-178 LEXINGTON AVE,1264,5768,1153,4615,0,1153,0,0,0,0,2,1,5,4,5,19.75,64,20,63,E,3,N,3,5,289998,673467,0,0,1910,0,0, , ,4.56,6.02,6,6.5,1,1008860071,0,72,989406,210518,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,178.4717503,1447.004499,383469,10,0,5258,5258,6,1350,30.67466545,33.23199844,2.557332993,32.62710985,0.922392025,195.7626591 +5259,MN,887,8,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,109 EAST 31 STREET,C6-4A, , , , , , , , , ,N,O3,5,0,P,JEWS FOR JESUS,2173,14053,14053,0,14053,0,0,0,0,0,2,1,7,0,2,22,98.75,22,98,E,3,N,5,2,630000,2079900,630000,2079900,1915,1980,0, , ,6.47,10,10,10,1,1008870008,0,72,989233,210745,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,250.7474787,2220.443015,1449900,10,0,5259,5259,9,2025,29.31800079,29.31800079,0,29.31800079,0,263.8620071 +5260,MN,792,45,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,112 WEST 17 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,BLONDIE LEE CORP,2300,3630,3630,0,2630,1000,0,0,0,0,2,2,3,0,4,25,92,25,40, ,0,N,5,5,220500,429300,0,0,1900,0,0, , ,1.58,6.02,6,6.5,1,1007920045,0,81,985245,208673,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,237.5263973,2344.071971,208800,7,0,5260,5260,11,2475,27.66555595,27.66555595,0,27.66555595,0,304.3211155 +5261,MN,162,57,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,10 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,HUNG SOO RLTY CP,1360,3274,2180,1094,1090,1090,0,0,0,0,2,1,3,2,4,17,80,17,80, ,3,Y,5,2,124650,321750,0,0,1920,1962,0, , ,2.41,3.44,6,6.5,1,1001620057,0,29,984908,199560,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,199.3834414,1411.859313,197100,16,0,5261,5261,5,1125,39.70399857,39.70399857,0,39.70399857,0,198.5199928 +5262,MN,850,18,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,19 EAST 21 STREET,M1-5M, , , , , , , , , ,N,D8,3,0, ,TRES TWO,2765,12844,2644,10200,0,2644,0,0,0,0,2,1,6,20,21,28,98.75,28,90,E,3,N,5,2,328500,1629900,0,0,1925,0,0,Ladies' Mile Historic District, ,4.65,0,5,6.5,1,1008500018,0,56,987315,208818,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,263.1129358,2879.356329,1301400,7,0,5262,5262,13,2925,35.59999847,39.15000153,3.550003052,38.87692437,0.945967023,505.4000168 +5263,MN,194,31,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,58 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,IRVING BARALL,2275,6355,3450,2905,0,2000,0,1450,0,0,2,1,3,2,4,25.08,92,25,86,E,3,Y,5,2,247500,457200,0,0,1915,1987,0,Tribeca East Historic District, ,2.79,6.02,6,6.5,1,1001940031,0,33,983434,201361,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,240.4386526,2431.30343,209700,14,0,5263,5263,12,2700,12.8255558,14.28666687,1.461111069,12.94731506,0.403829766,155.3677807 +5264,MN,646,27,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,428 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,THOR ASB 875 WASHINGT,10325,53658,53658,0,43152,10506,0,0,0,0,2,1,5,0,49,50,123.25,51,206, ,3,N,3,2,2889000,17643150,0,0,1900,1984,2015,Gansevoort Market Historic District, ,5.2,0,5,6.5,1,1006460027,0,79,982294,209309,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,521.0605701,10712.60396,14754200,8,1,5264,5264,47,10575,12.05555534,12.05555534,0,12.05555534,0,566.6111012 +5265,MN,525,52,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,502 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,ERMELINO 502 LLC C/O,1875,8775,1755,7020,0,1755,0,0,0,0,2,1,5,4,5,25,75,25,75, ,3,N,5,5,107701,1040031,0,0,1920,2010,0,South Village Historic District, ,4.68,3.44,0,6.5,1,1005250052,0,65,984345,204367,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,205.9003603,1959.299278,932330,9,0,5265,5265,9,2025,23.62666702,23.62666702,0,23.62666702,0,212.6400032 +5266,MN,719,6,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,463 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,463 WEST 21ST INC,2468,6150,0,6150,0,0,0,0,0,0,2,1,4.5,6,6,25,98.75,25,52,E,3,N,5,2,114171,532091,14570,14570,1900,1972,0,Chelsea Historic District, ,2.49,3,0,3,1,1007190006,0,89,983015,211203,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,259.425258,2779.61718,417920,7,1,5266,5266,13,2925,9.307999611,11.03999996,1.732000351,9.599845813,0.531411299,124.7979956 +5267,MN,528,57,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,228 VARICK STREET,C2-6,R6, , , , , , , , ,Y,K4,4,0, ,ERDOGAN HIKMET,153,288,288,0,144,144,0,0,0,0,2,1,2,0,1,9.42,16.25,9,16, ,0,N,8,5,34650,78750,0,0,1915,0,0, , ,1.88,3.44,2,6.5,1,1005280057,0,67,982861,204940,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,57.33504642,183.1891759,44100,9,0,5267,5267,1,225,15.38333321,15.38333321,0,15.38333321,0,15.38333321 +5268,MN,626,22,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,626 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,CEXO REALTY INC.,1082,3324,500,2824,0,500,0,0,0,0,2,1,4,3,4,19,58,19,38,E,0,Y,5,5,262950,601640,0,0,1900,0,0,Greenwich Village Historic District, ,3.07,3.44,2,6.5,1,1006260022,0,77,982778,208247,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,161.9815649,1193.699378,338690,8,0,5268,5268,5,1125,17.68444443,17.68444443,0,17.68444443,0,88.42222214 +5269,MN,499,35,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,105 MERCER STREET,M1-5A, , , , , , , , , ,N,A9,1,0, ,"GAN, STEPHEN",625,1875,0,1875,0,0,0,0,0,0,2,1,3,1,1,18.92,25,25,25, ,3,Y,5,2,22374,81764,0,0,1899,0,0,SoHo-Cast Iron Historic District, ,3,0,5,6.5,1,1004990035,0,49,984378,202933,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,89.57307695,486.1949899,59390,0,0,5269,5269,2,450,22.35555458,22.35555458,0,22.35555458,0,44.71110916 +5270,MN,439,4,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,188 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,FIRST AVE REALTY CORP,2500,7525,1505,6020,0,1505,0,0,0,0,2,1,5,8,10,25,100,25,100, ,3,N,5,2,74215,286709,0,0,1900,1986,0, , ,3.01,4,0,4,1,1004390004,0,34,988827,205066,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,266.8771089,2896.782549,212494,12,0,5270,5270,13,2925,21.74699974,22.81055641,1.063556671,21.82881179,0.28340526,283.7745533 +5271,MN,350,62,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,317 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,K1,5,0, ,"MARTY REALTY, LLC",1080,1080,1080,0,0,1080,0,0,0,0,2,1,1,0,1,20,54,20,54, ,3,N,3,2,74250,173250,0,0,1910,1988,0, , ,1,6,0,6,1,1003500062,0,2201,988897,201969,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,154.9897754,1203.881071,99000,1,0,5271,5271,6,1350,19.81333351,19.81333351,0,19.81333351,0,118.8800011 +5272,MN,526,46,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,78 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"SHAI PINES, AS TRUSTE",2002,3360,0,3360,0,0,0,0,0,0,2,1,4,3,3,20,100.08,20,42, ,3,N,5,0,77488,214272,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.68,3.44,0,6.5,1,1005260046,0,65,983820,204642,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,243.0001868,2030.020002,136784,9,0,5272,5272,10,2250,23.11777878,24.45555496,1.337776184,23.53231087,0.50510697,235.3231087 +5273,MN,346,1,103,14.02,1005,2,1,10002,L018,7,14,7400,1,3,2B,50 NORFOLK STREET,R8, , , , , , , , , ,N,D1,3,0,P,CHINATOWN PLANNING ET,19484,137909,0,137909,0,0,0,0,0,0,2,1,14,156,156,175.25,100.07,54,161,E,2,Y,3,0,792000,4194900,792000,4194900,1982,2014,0, , ,7.08,6.02,0,6.5,1,1003460001,0,1402,987600,200394,12c, ,101N080,10201, ,1003460001,5/2/2014,1, , ,17V1.1,0,591.8754786,19699.45103,3402900,13,0,5273,5273,87,19575,32.34700012,34.65444183,2.307441711,33.48875489,0.337452455,2913.521675 +5274,MN,776,62,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,242 WEST 27 STREET,C6-2A, , , , , , , , , ,N,O6,5,0, ,242 WEST 27 LLC,2456,14952,14952,0,12952,2000,0,0,0,0,2,1,7,0,16,24.83,98.75,25,99, ,0,N,5,5,192150,1459800,0,0,1927,1987,0, , ,6.09,6.02,6,6.5,1,1007760062,0,95,985380,211525,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,259.0495634,2549.968289,1267650,2,0,5274,5274,13,2925,26.70400047,27.32111168,0.617111206,26.75147057,0.164441225,347.7691174 +5275,MN,898,43,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,224 EAST 18 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,224 E 18 OWRS CORP,1440,4815,0,4815,0,0,0,0,0,0,2,1,4,8,8,18,80,18,52, ,3,N,5,1,81721,385573,7080,7080,1920,1986,0,Stuyvesant Square Historic District, ,3.34,3,0,3,1,1008980043,0,48,988595,207108,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,202.2662954,1500.999142,303852,5,0,5275,5275,6,1350,22.7840004,22.7840004,0,22.7840004,0,136.7040024 +5276,MN,503,24,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,111 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,ANICITO DANIEL,1875,6875,600,6275,0,600,0,0,0,0,2,1,5,8,9,25,75,25,54, ,3,N,5,2,40820,162637,0,0,1900,1988,0,Sullivan-Thompson Historic District, ,3.67,3.44,0,6.5,1,1005030024,0,49,983695,203759,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,201.6228148,1964.4803,121817,0,0,5276,5276,8,1800,15.37666702,15.37666702,0,15.37666702,0,123.0133362 +5277,MN,473,31,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,37 CROSBY STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,FLAGSTAFF1 LLC,1526,8621,871,7750,0,871,0,0,0,0,2,1,7,8,9,25.08,60.25,25,51, ,2,Y,5,2,107723,948935,0,0,1900,2013,0,SoHo-Cast Iron Historic District Extensi, ,5.65,0,5,6.5,1,1004730031,0,45,984467,201932,12c, ,101N073,10206, ,1004730030,12/31/1998,1, , ,17V1.1,0,177.4190274,1614.803413,841212,0,0,5277,5277,7,1575,23.06555557,28.13555527,5.069999695,24.90476172,2.177056023,174.3333321 +5278,MN,423,28,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,246 GRAND STREET,C6-3A, , , , , ,TA, , , ,N,K4,4,0,P,TUM YING PU REALTY CO,1875,7500,7500,0,3150,1875,0,0,0,2475,2,1,4,0,9,25,75,25,72,E,3,N,5,2,236250,877950,0,0,1920,2001,0, , ,4,7.52,6,7.5,1,1004230028,0,18,985885,201023,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,206.4669602,1994.885569,641700,0,0,5278,5278,8,1800,34.16999817,34.16999817,0,34.16999817,0,273.3599854 +5279,MN,584,27,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,38 COMMERCE STREET,R6, , , , , , , , , ,N,J5,5,0, ,"LITTLE GODDESS, INC.",2250,6804,4544,2260,0,0,0,0,0,4544,2,1,3,1,2,29.92,75.5,29.92,75.5, ,3,Y,5,2,303750,632700,0,0,1836,0,0,Greenwich Village Historic District, ,3.02,2.43,0,4.8,1,1005840027,0,67,982778,205695,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,212.8157128,2287.045158,328950,9,0,5279,5279,9,2025,16.16111183,16.16111183,0,16.16111183,0,145.4500065 +5280,MN,720,47,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,400 WEST 23 STREET,C1-6A, , , , , , , , , ,N,D4,3,0, ,WEST 23RD STREET OWNE,5431,23608,5430,18178,0,5430,0,0,0,0,2,1,6,16,20,55,98.75,55,98.75,E,2,N,3,2,287550,2386800,45666,45666,1920,1988,0, , ,4.35,4,2,4,1,1007200047,0,93,983767,211196,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,317.5078682,5772.461063,2099250,2,1,5280,5280,25,5625,9.369999886,16.71000099,7.340001106,9.953599892,1.979124839,248.8399973 +5281,MN,494,32,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,215 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,213-215 MOTT STREET H,2479,7632,0,7632,0,0,0,0,0,0,2,1,6,12,12,25,99.17,25,57, ,3,N,5,1,149400,391050,149400,266562,1900,0,0, , ,3.08,6.02,6,6.5,1,1004940032,0,43,985484,202361,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,254.0320053,2634.702519,241650,0,0,5281,5281,11,2475,38.86500168,38.86500168,0,38.86500168,0,427.5150185 +5282,MN,878,16,105,68,2001,2,2,10010,E014,13,14,5300,1,6,1B,12 LEXINGTON AVENUE,R9A, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,7582,79727,79727,0,0,79727,0,0,0,0,2,1,10,0,1,99.33,75,99,75, ,0,Y,3,2,1264500,3418200,1264500,3418200,1917,0,0, , ,10.52,7.52,0,7.52,1,1008780016,0,68,988317,208559,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,364.7698742,8165.344653,2153700,11,0,5282,5282,38,8550,26.03777695,32.74777603,6.709999084,26.21435587,1.074087658,996.1455231 +5283,MN,162,53,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,18 BOWERY,C6-1, , , , , , , , , ,N,O8,5,0, ,MOONEY HOUSE LLC,2500,8142,6107,2035,6107,0,0,0,0,0,2,1,4,5,7,25.08,100,25,100, ,0,Y,3,5,157950,808650,0,0,1905,0,0, ,EDWARD MOONEY HOUSE,3.26,3.44,6,6.5,1,1001620053,0,29,984942,199637,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,261.8745303,2765.680524,650700,16,0,5283,5283,12,2700,39.5577774,40.85555649,1.297779083,39.89686966,0.402718248,478.7624359 +5284,MN,529,48,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,13 BLEECKER STREET,M1-5B, , , , , , , , , ,N,B1,1,0, ,BLK DEVELOPMENT LLC,1449,2976,0,2976,0,0,0,0,0,0,2,1,3,2,2,22.5,63.25,23,50, ,3,Y,5,5,24633,54328,0,0,1910,0,0,Noho East Historic District, ,2.05,0,5,6.5,1,1005290048,0,5502,986202,203631,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,176.039865,1437.60125,29695,9,0,5284,5284,6,1350,41.23199844,41.23199844,0,41.23199844,0,247.3919907 +5285,MN,611,5,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,241 WEST 4 STREET,R6,C2-6, , , , , , , , ,Y,C2,2,0, ,"LAVALLE, GILDA MARIEJ",2069,4624,0,4624,0,0,0,0,0,0,2,2,3,5,5,21.83,101,22,76,E,3,Y,5,5,268440,328302,42860,42860,1920,1984,0,Greenwich Village Historic District, ,2.23,2.43,0,4.8,1,1006110005,0,73,983468,206911,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,249.3567246,2007.157892,59862,8,0,5285,5285,9,2025,23.83777809,24.81955528,0.981777191,23.97308668,0.308185869,215.7577801 +5286,MN,606,49,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,106 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,37195,81947,81947,0,81947,0,0,0,0,0,2,1,4,0,2,300,159.58,269.67,130.75, ,3,Y,3,1,4225500,10200150,4225500,10200150,1957,1967,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006060049,0,71,984481,207221,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,877.7446401,37949.38876,5974650,8,0,5286,5286,169,38025,21.67000008,25.01000023,3.340000153,23.04158574,0.465505698,3894.02799 +5287,MN,825,17,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,43 WEST 23 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,"LADIES MILE, LLC C/O",11775,92285,92285,0,77000,15285,0,0,0,0,2,1,8,0,8,61.25,197.5,61,198, ,2,Y,4,2,2209500,6938100,0,0,1903,1914,1989,Ladies' Mile Historic District, ,7.84,0,10,10,1,1008250017,0,58,986720,209839,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,539.4614973,12210.17742,4728600,2,0,5287,5287,54,12150,35.97100067,37.20777893,1.236778259,36.0089081,0.183449777,1944.481037 +5288,MN,411,37,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,90 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,D5,3,0, ,90 RIVINGTON STREET L,1920,8400,2800,5600,0,2800,0,0,0,0,2,1,6,21,22,25.5,75.25,26,54, ,3,N,5,1,381600,1591650,0,0,1900,1997,0, , 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,17V1.1,0,240.6522482,3207.711437,1402200,9,0,5294,5294,15,3375,20.52111053,25.03888893,4.517778397,21.51531804,1.487273744,322.7297707 +5295,MN,804,39,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,825 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,BGH REALTY INC,1292,3960,3960,0,0,2100,0,1860,0,0,2,1,4,0,2,20,64.5,20,58,E,3,N,5,2,285750,785250,0,0,1920,0,0, , ,3.07,10,10,10,1,1008040039,0,95,986883,211258,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,174.1189806,1407.732906,499500,2,0,5295,5295,6,1350,40.67900085,40.67900085,0,40.67900085,0,244.0740051 +5296,MN,830,7,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,55 WEST 28 STREET,C6-4X, , , , , , , , , ,N,L9,6,0, ,"51-55 W 28TH STREET,",1481,5526,3650,1876,0,1400,0,2250,0,0,2,1,4,3,5,20,74.33,20,70,E,3,N,5,1,265500,704250,0,0,1920,0,0, , ,3.73,10,10,10,1,1008300007,0,76,987014,211079,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,189.2064735,1507.092875,438750,2,0,5296,5296,7,1575,44.93099976,44.93099976,0,44.93099976,0,314.5169983 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17 STREET,R8A,R7B, , , , , , , , ,Y,I4,8,0, ,BETH ISRAEL MEDICAL C,2014,6651,3991,2660,2660,0,0,0,0,1331,2,1,5,3,6,19,106,19,55,E,2,N,5,2,217350,494100,130410,296460,1910,1988,0, , ,3.3,6,0,6,1,1009230015,0,48,989109,206715,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,264.1687078,2178.122061,276750,5,0,5299,5299,9,2025,16.06999969,19.32444382,3.254444122,17.27802446,1.373280095,155.5022202 +5300,MN,767,12,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,249 WEST 17 STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,"ARC NY24549W17, LLC",17790,108768,108768,0,64768,44000,0,0,0,0,2,1,6,0,1,97.92,184,98,181, ,3,Y,4,2,2776500,18765450,0,0,1902,1989,2012, , ,6.11,6.02,6,6.5,1,1007670012,0,81,984281,209434,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,572.5685814,18489.16531,15989000,7,0,5300,5300,83,18675,21.88888931,24.47333336,2.584444046,22.00789596,0.484447083,1826.655365 +5301,MN,935,41,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,336 EAST 30 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,336 EAST 30TH STREET,2222,5710,800,4910,0,800,0,0,0,0,2,1,4,8,9,22.5,98.75,23,48, ,3,N,5,1,115142,571009,0,0,1910,0,0, , ,2.57,3,0,3,1,1009350041,0,70,990818,209394,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,247.9453608,2263.864131,455867,10,0,5301,5301,10,2250,35.01100159,35.39777756,0.38677597,35.07854576,0.136858111,350.7854576 +5302,MN,276,12,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,25 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,Z&Z EXPRESS INC,2537,8479,1250,7229,0,1250,0,0,0,0,2,1,5,8,9,25.08,100.58,25,50, ,3,N,5,2,82467,263968,0,0,1915,0,0, , ,3.34,3.44,0,6.5,1,1002760012,0,8,985528,198573,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.3762289,2580.849361,181501,16,0,5302,5302,13,2925,13.17555523,13.17555523,0,13.17555523,0,171.282218 +5303,MN,619,18,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,234 WEST 10 STREET,R6, , , , , , , , , ,N,A5,1,0, ,"LOENING, GEORGE S.",2375,3000,0,3000,0,0,0,0,0,0,2,1,3,1,1,26.42,96.17,20,50, ,2,Y,5,2,48786,288990,0,0,1899,2005,0,Greenwich Village Historic District, ,1.26,2.43,0,4.8,1,1006190018,0,73,982771,206581,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,241.6564057,2418.123025,240204,9,0,5303,5303,12,2700,20.56999969,25.51888847,4.948888779,22.21181472,1.977469503,266.5417767 +5304,MN,526,56,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,186 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"NN BLEECKER, LLC",3250,9344,1840,7504,0,1840,0,0,0,0,2,3,5,8,10,43.75,75.5,44,76,E,3,Y,3,0,106396,877629,0,0,1910,2009,2013,South Village Historic District, ,2.88,3.44,0,6.5,1,1005260056,0,65,983922,204852,12a,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,251.5893446,3595.17293,771233,9,0,5304,5304,15,3375,23.22699928,23.58777809,0.360778809,23.2510512,0.089994046,348.7657681 +5305,MN,574,15,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,56 WEST 11 STREET,R6, , , , , , , , , ,N,D3,3,0, ,56 WEST 11 REALTY LLC,4171,27184,0,27184,0,0,0,0,0,0,2,1,9,36,36,44.17,94.75,44,78, ,3,N,5,2,370350,1859400,0,0,1912,0,0,Greenwich Village Historic District, ,6.52,2.43,0,4.8,1,1005740015,0,63,984988,206969,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,283.8093703,4361.461391,1489050,8,0,5305,5305,20,4500,23.68066597,24.95544434,1.274778366,24.07389383,0.291176909,481.4778767 +5306,MN,353,60,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,137 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,137 RIVINGTON. LLC,2508,10504,1000,9504,0,1000,0,0,0,0,2,1,5,18,22,25,100.33,25,88, ,3,N,5,2,62550,413100,0,0,1930,0,0, , ,4.19,4,0,4,1,1003530060,0,1402,987999,201332,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,257.9202798,2674.253193,350550,13,0,5306,5306,11,2475,26.83777809,26.83777809,0,26.83777809,0,295.215559 +5307,MN,801,36,104,91,1000,2,3,10010,E001,13,15,5200,1,4,2A,755 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S9,4,0, ,PRIME INVESTORS GROUP,1185,4740,1185,3555,0,1185,0,0,0,0,2,1,4,3,6,19.75,60,19.75,60, ,2,N,3,5,147692,379388,0,0,1920,0,0, , ,4,10,10,10,1,1008010036,0,91,986452,210474,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,171.8122463,1363.017965,231696,2,0,5307,5307,7,1575,40.2140007,40.39599991,0.181999207,40.37000002,0.063686456,282.5900002 +5308,MN,740,44,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,322 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,322-6 WEST 17TH ST HD,3050,10800,0,10800,0,0,0,0,0,0,2,1,5,12,12,25,122.75,25,94, ,3,Y,5,2,125550,663750,125550,565939,1910,1986,0, , 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,1, , ,17V1.1,0,865.4794237,25889.73762,28816200,1,0,5310,5310,115,25875,30.23399925,33.27000046,3.036001205,31.37697248,1.034325533,3608.351835 +5311,MN,162,18,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,34 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"EAST STONE, LLC",2531,13819,2500,11319,0,2500,0,0,0,0,2,2,6,20,26,56.75,58,57,58, ,3,Y,3,2,215550,1432350,0,0,1920,1966,0, , ,5.46,3.44,6,6.5,1,1001620018,0,29,984617,199717,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,216.7738488,2738.172057,1216800,14,0,5311,5311,13,2925,30.90500069,35.97888947,5.073888779,32.18111185,1.84787602,418.354454 +5312,MN,585,46,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,494 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,494 HUDSON LLC,1892,3803,665,3138,0,665,0,0,0,0,2,1,4,9,10,21.5,87,22,64,E,3,Y,5,2,171560,395116,0,159496,1900,2009,2003,Greenwich Village Historic District, ,2.01,3.44,2,6.5,1,1005850046,0,73,982550,206257,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,226.0981227,1929.264061,223556,9,0,5312,5312,11,2475,20.9109993,21.84000015,0.929000854,21.30567655,0.328752346,234.362442 +5313,MN,526,49,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,84 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"MACDOUGAL BRICK PILE,",2002,3360,0,3360,0,0,0,0,0,0,2,1,4,3,3,20,100.08,20,42, ,3,N,5,0,71485,197670,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.68,3.44,0,6.5,1,1005260049,0,65,983852,204692,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,243.0004632,2030.008176,126185,9,0,5313,5313,8,1800,23.22699928,24.39999962,1.173000336,23.37362432,0.387933397,186.9889946 +5314,MN,822,7501,105,54,1001,2,3,10011,E014,13,15,5700,1,5, ,11 WEST 20 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,2631,20189,9164,11025,6615,2549,0,0,0,0,2,1,9,5,9,28.6,92,0,0, ,0,N,5,5,227761,2229632,18893,26660,1909,0,0,Ladies' Mile Historic District, ,7.67,10,10,10,1,1008227501,945,54,986499,208989,8d, ,102 042,10306, ,1008220027,12/2/1996,1, , ,17V1.1,7,253.7651701,2870.535212,2001870,7,0,5314,5314,14,3150,34.23199844,34.71311188,0.481113434,34.26636369,0.123905654,479.7290916 +5315,MN,511,16,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,600 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,600 BROADWAY PARTNERS,10005,65192,65192,0,0,36218,0,0,0,28974,2,1,6,0,2,49.42,198,49,198, ,3,Y,4,2,11255850,42265800,0,0,1900,2003,2008,SoHo-Cast Iron Historic District, ,6.52,0,5,6.5,1,1005110016,0,43,985217,203423,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,527.5703789,11025.27444,31010000,9,0,5315,5315,48,10800,36.82110977,42.48888779,5.667778015,37.11012363,1.165784896,1781.285934 +5316,MN,771,72,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,262 WEST 22 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"ARIEL/MATH REALTY, LL",2469,11226,240,10986,0,240,0,0,0,0,2,1,6,24,25,25,98.75,25,85, ,3,N,5,1,242550,1757700,0,0,1920,0,0, , ,4.55,4,0,4,1,1007710072,0,87,984660,210405,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.302179,2560.019307,1515150,7,0,5316,5316,10,2250,21.99111176,23.17222214,1.181110382,22.20757828,0.435180917,222.0757828 +5317,MN,434,9,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,116 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,"BADRI II, LLC",1155,4620,840,3780,0,840,0,0,0,0,2,1,4,5,6,16.5,70,16.5,70, ,2,N,3,5,25256,202800,0,0,1920,0,0, , ,4,4,0,4,1,1004340009,0,32,988254,204065,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,177.898998,1282.367529,177544,12,0,5317,5317,6,1350,20.12299919,24.65888977,4.535890579,21.53607368,2.005715875,129.2164421 +5318,MN,443,7503,103,36.02,1001,1,2,10003,E028,9,14,6500,3,3, ,72 EAST 1 STREET,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,1664,7765,2379,5386,0,2379,0,0,0,0,2,1,6,4,6,25,67,25,66, ,0,N,0,5,52052,589147,0,0,1910,0,0, , ,4.67,4,0,4,1,1004437503,2248,3602,987398,202862,12c, ,102 010,10205, ,1004430039,7/6/2012,1, , ,17V1.1,7,192.749319,1888.845795,537095,1,0,5318,5318,9,2025,31.19000053,31.19000053,0,31.19000053,0,280.7100048 +5319,MN,436,16,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,418 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,418 EAST 9TH LLC,2254,9474,0,9474,0,0,0,0,0,0,2,1,5,13,13,24,93.92,24,66, ,3,N,5,1,157500,1390050,0,0,1900,1987,0, , ,4.2,4,0,4,1,1004360016,0,32,988666,204363,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,249.7610299,2421.028298,1232550,12,0,5319,5319,10,2250,17.84799957,20.18000031,2.332000732,18.67299976,1.015653002,186.7299976 +5320,MN,719,49,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,410 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,C5,2,0,P,"410 WEST 22ND STREET,",2050,7980,0,7980,0,0,0,0,0,0,2,2,4.5,18,18,28.5,72,15,52, ,3,Y,5,1,85950,1158300,0,0,1856,0,0,Chelsea Historic District, ,3.89,3,0,3,1,1007190049,0,89,983597,211011,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,205.8159584,2172.152961,1072350,7,1,5320,5320,10,2250,9.307999611,10.00844383,0.700444221,9.392577362,0.2098118,93.92577362 +5321,MN,181,7503,101,39,4004,2,1,10013,E007,1,15,7700,3,1, ,6 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,RC,5,0,P,OWNER / AGENT,7337,38213,38213,0,33731,4482,0,0,0,0,2,1,8.5,0,7,75.67,103.58,0,0, ,0,Y,5,5,1238399,6976466,0,0,1915,1986,0,Tribeca West Historic District, ,5.21,6.02,6,6.5,1,1001817503,455,39,981724,201177,12a, ,101S037,10105, ,1001810026,12/31/1987,1, , ,17V1.1,7,361.7209679,8073.530518,5738070,14,0,5321,5321,37,8325,18.25200081,18.25200081,0,18.25200081,0,675.3240299 +5322,MN,298,12,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,36 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,"36 RE, LLC",1273,6300,1273,5027,500,773,0,0,0,0,2,1,5,8,10,25,65,25,45, ,3,Y,5,1,127219,646127,0,0,1910,1988,0, , ,4.95,6.02,6,6.5,1,1002980012,0,16,986681,200065,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,186.8025215,1363.971656,518908,13,0,5322,5322,6,1350,37.42888641,37.64699936,0.218112946,37.6106472,0.081285896,225.6638832 +5323,MN,449,28,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,78 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"OTWAY, FLORENCE",4875,14400,7000,7400,0,0,0,0,0,7000,2,3,4,7,9,50,97.5,50,98,E,3,N,5,1,174589,1168020,0,0,1920,0,0, , ,2.95,4,0,4,1,1004490028,0,38,988175,204352,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,297.2609528,4931.5261,993431,12,0,5323,5323,22,4950,26.41333389,27.02011108,0.606777191,26.67152006,0.092585207,586.7734413 +5324,MN,385,24,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,238 EAST 3 STREET,R8B, , , , , , , , , ,N,J9,5,0,P,"THIRD STREET THEATER,",5253,4300,4300,0,0,0,0,0,0,4300,2,1,2,0,1,49.58,105.92,48,105, ,3,N,5,2,274500,471600,0,0,1920,0,0, , ,0.82,4,0,4,1,1003850024,0,2202,989320,202279,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,317.711234,5470.800035,197100,1,0,5324,5324,24,5400,16.86222267,17.75333405,0.891111374,17.02543998,0.198173309,408.6105595 +5325,MN,377,7502,103,26.02,1001,1,2,10009,L011,9,14,6700,4,3, ,259 EAST 7 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,5830,20885,332,20553,0,332,0,0,0,0,2,1,7,8,9,60,98,49.5,81.73, ,0,N,0,5,209864,3022295,0,1185296,2006,0,0, , ,3.58,4,0,4,1,1003777502,1736,2602,990491,202955,12c, ,102 023,10202, ,1003770058,12/20/2007,1, ,1,17V1.1,7,297.4582474,4901.401226,2812430,12,1,5325,5325,22,4950,7.507333279,11.834445,4.327111721,8.06498987,1.341206401,177.4297771 +5326,MN,398,34,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,26 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D6,4,0,P,26 AVENUE B REALTY GR,1934,9666,3548,6118,0,3548,0,0,0,0,2,1,6,8,9,24.17,80,23,80, ,0,N,5,5,177750,648297,0,0,2015,2012,0, , ,5,4,0,4,1,1003980034,0,3002,988844,202476,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,215.4973032,2022.672853,470547,1,0,5326,5326,9,2025,19.45377731,22.34000015,2.886222839,20.66483921,0.793314288,185.9835529 +5327,MN,575,124,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,62 WEST 12 STREET,R6, , , , , , , , , ,N,A5,1,0, ,"DUFFY, ROBERT C",1996,3200,0,2400,0,0,0,0,0,0,2,1,3,1,1,19.33,103.25,19.33,40, ,3,N,5,1,35818,176505,0,0,1901,2004,0,Greenwich Village Historic District, ,1.6,2.43,0,4.8,1,1005750124,0,63,985118,207195,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,253.9875935,2183.728986,140687,8,0,5327,5327,10,2250,24.42399979,24.42399979,0,24.42399979,0,244.2399979 +5328,MN,640,70,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,32 BETHUNE STREET,R6, , , , , , , , , ,N,A9,1,0, ,PAULA P MICHTOM,1367,2448,0,1836,0,0,0,0,0,0,2,1,2,1,1,17,80.42,17,36, ,3,N,5,1,31707,161226,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.79,2.43,0,4.8,1,1006400070,0,79,982200,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,199.6837422,1440.935274,129519,8,0,5328,5328,5,1125,11.96800041,15.85333347,3.885333061,13.58644466,1.707069214,67.93222332 +5329,MN,503,17,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,129 SULLIVAN STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,PRINCE ASSOCIATES,958,3832,765,3067,0,765,0,0,0,0,2,1,4,5,6,19.17,50,19,48, ,3,N,3,5,78065,234579,0,0,1900,1986,0,Sullivan-Thompson Historic District, ,4,3.44,0,6.5,1,1005030017,0,49,983621,203904,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,145.4843972,1086.742156,156514,0,0,5329,5329,4,900,15.37666702,20.55888748,5.182220459,16.67222214,2.243967283,66.68888855 +5330,MN,65,7501,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1, ,65 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,65 NASSAU OWNERS CORP,3359,32342,3792,28550,0,3792,0,0,0,0,2,1,10,28,29,69.58,49.92,69.58,49.92, ,0,N,3,5,954000,5220450,33040,33040,1920,0,0, , ,9.63,10,15,15,1,1000657501,21,1502,981850,197762,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,7,251.8994671,3771.496275,4266450,4,0,5330,5330,16,3600,29.17399979,30.60000038,1.426000595,29.34197211,0.445362744,469.4715538 +5331,MN,540,40,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,181 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,CALENDULA REALTY CORP,1900,3978,1114,2864,0,1114,0,0,0,0,2,1,3,2,3,24,75,24,33, ,2,N,5,2,54956,137154,0,0,1901,1967,0,South Village Historic District, ,2.09,3.44,0,6.5,1,1005400040,0,65,984049,204925,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,201.5397734,1907.874214,82198,9,0,5331,5331,8,1800,22.5755558,22.5755558,0,22.5755558,0,180.6044464 +5332,MN,445,26,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,120 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,118-120 EAST 4TH OWNE,4808,17443,0,17443,0,0,0,0,0,0,2,2,5,48,48,50,96.17,50,46, ,3,N,5,2,477000,2323350,0,0,1900,1958,0, , ,3.63,4,0,4,1,1004450026,0,38,987602,203525,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,297.114705,4902.459657,1846350,1,0,5332,5332,21,4725,29.97444344,33.17777634,3.203332901,30.76985105,1.241109845,646.166872 +5333,MN,406,58,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,513 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,C,HOUSING PRESERVATION,2581,8450,800,7650,0,800,0,0,0,0,2,2,5,16,17,25,103.25,25,45, ,0,N,5,5,90000,999000,90000,999000,1900,0,0, , ,3.27,4,0,4,1,1004060058,0,34,989660,204864,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,262.0107608,2624.476678,909000,12,0,5333,5333,12,2700,13.0880003,16.14222145,3.054221153,14.16050919,0.997836706,169.9261103 +5334,MN,145,15,101,21,1000,2,1,10013,E007,1,15,7700,1,1,3A,113 READE STREET,C6-3A, , , , , ,TMU, , , ,N,K2,5,0, ,WEST BROADWAY READE L,1865,3750,3750,0,0,3750,0,0,0,0,2,1,2,0,1,24.75,75.25,25,75, ,2,N,3,2,293850,630995,0,0,1915,2010,2016,Tribeca South Historic District, ,2.01,7.52,6,7.5,1,1001450015,0,21,981815,200055,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,206.7245151,2055.847846,337145,14,0,5334,5334,8,1800,21.27222252,22.80999947,1.537776947,21.46444464,0.508571922,171.7155571 +5335,MN,621,7,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,548 1/2 HUDSON STREET,C1-6, , , , , , , , , ,N,S4,4,0, ,HUDSON REAL ESTATE HO,1420,5410,700,4710,0,700,0,0,0,0,2,1,5,4,5,20.5,74.92,21,53, ,3,Y,5,5,59867,328173,0,0,1905,1985,2009,Greenwich Village Historic District, ,3.81,3.44,2,6.5,1,1006210007,0,73,982640,207048,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,188.9958892,1505.564864,268306,9,0,5335,5335,8,1800,21.76222229,21.76222229,0,21.76222229,0,174.0977783 +5336,MN,623,23,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,417 BLEECKER STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,WILLIAM GOTTLIEB,2263,8365,1200,7165,0,1200,0,0,0,0,2,1,4,6,8,45.25,50,45,50, ,3,N,3,2,330502,1429326,0,0,1910,1983,0,Greenwich Village Historic District, ,3.7,3.44,2,6.5,1,1006230023,0,77,982836,207608,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,196.2229242,2399.289945,1098820,8,0,5336,5336,10,2250,22.60333252,23.50111198,0.897779465,22.69311047,0.269333839,226.9311047 +5337,MN,16,7518,101,317.04,2000,2,1,10280,E010,1,15,8900,1,1, ,333 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X, ,28721,230066,24074,205992,0,6916,17158,0,0,0,2,1,15,174,177,247.41,124.83,247,100, ,1,Y,0,2,5400000,32825255,5400000,32825255,1985,2007,0, , ,8.01,0,0,0,1,1000167518,2198,31704,979470,197837,12b, ,101S090,10101, ,1000160080,4/11/2011,1, , ,17V1.1,7,772.9733208,29802.33093,27425300,15,1,5337,5337,132,29700,9.808889389,14.32222271,4.513333321,11.18552558,1.818231222,1476.489377 +5338,MN,407,32,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,224 AVENUE B,C1-6A, , , , , , , , , ,N,C7,4,0, ,MARSHALL ASSOCIATESLP,4172,15174,1500,13674,0,1500,0,0,0,0,2,1,6,26,28,43.92,95,37,79, ,3,N,5,2,585000,2338650,0,0,1905,1987,0, , ,3.64,4,2,4,1,1004070032,0,34,990203,204944,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,285.0296568,4310.745825,1753650,12,1,5338,5338,19,4275,11.62699986,11.62699986,0,11.62699986,0,220.9129972 +5339,MN,883,67,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,113 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,LEX 113 LLC,1488,3946,986,2960,0,986,0,0,0,0,2,1,3,4,6,24.67,60,24.67,40, ,0,N,5,5,175148,559971,0,0,1910,0,0, , ,2.65,6.02,6,6.5,1,1008830067,0,68,989135,209753,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,178.5745802,1654.996265,384823,11,0,5339,5339,8,1800,33.40789032,33.40789032,0,33.40789032,0,267.2631226 +5340,MN,174,23,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,81 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,D7,4,0,P,FRANKLIN 81 HOLDINGS,4712,25738,1332,24406,0,1332,0,0,0,0,2,1,6,11,12,47.08,100.08,47,95,E,3,Y,5,2,450000,3973050,0,0,1915,1989,2008,Tribeca East Historic District, ,5.46,6.02,6,6.5,1,1001740023,0,33,982942,200775,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,305.6443169,5021.294788,3523050,14,0,5340,5340,23,5175,21.5755558,24.88333321,3.307777405,21.71937221,0.674558751,499.5455608 +5341,MN,637,20,102,75,1001,2,3,10014,L005,6,15,6400,1,2,2K,158 PERRY STREET,R6A,C1-6A, , ,C1-5, , , , , ,Y,E9,6,0, ,WILLIAM GOTTLIEB,1606,1600,1600,0,0,0,0,0,1600,0,2,1,1,0,1,20,80.33,20,80,E,3,Y,5,0,72450,156150,0,0,1900,0,0, , ,1,3,0,3,1,1006370020,0,75,981762,206888,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,204.5039486,1695.385676,83700,9,1,5341,5341,7,1575,10.04599953,10.58022213,0.534222603,10.12231704,0.186938969,70.85621929 +5342,MN,719,44,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,400 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,S5,4,0, ,400 WEST 22ND STREET,1026,4045,700,3345,0,700,0,0,0,0,2,1,4.5,5,6,14.25,72,14,72, ,2,N,5,5,65550,452405,0,0,1900,1984,0,Chelsea Historic District, ,3.94,3,0,3,1,1007190044,0,89,983668,210972,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,177.7137454,1142.741291,386855,7,1,5342,5342,6,1350,9.307999611,9.307999611,0,9.307999611,0,55.84799767 +5343,MN,818,56,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,8 WEST 17 STREET,C6-4A, , , , , , , , , ,N,M9,8,0, ,10 W. 17TH PROPERTY L,4140,12000,12000,0,12000,0,0,0,0,0,2,1,3,0,2,45,92,45,92, ,3,N,5,2,837000,1172250,0,0,1963,2015,0,Ladies' Mile Historic District, ,2.9,10,10,10,1,1008180056,0,54,986151,208175,8d, ,102 033,10306,E-131,0, ,1, , ,17V1.1,0,286.7825589,4356.530945,335250,7,0,5343,5343,19,4275,31.11599922,37.97222137,6.856222153,31.68743786,1.729197853,602.0613194 +5344,MN,883,33,106,68,6000,2,2,10016,E016,13,14,5300,1,6,1B,143 EAST 27 STREET,R8B, , , , , , , , , ,N,S1,4,0,P,"ROBINSON, CALLEN T5RU",1978,4700,1875,2825,1875,0,0,0,0,0,2,1,4,1,2,20,98.75,20,93,E,2,N,5,1,114203,164643,0,0,1910,0,0, , ,2.38,4,0,4,1,1008830033,0,68,989186,209594,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,247.6628578,2078.319868,50440,11,0,5344,5344,9,2025,33.40789032,35.70777893,2.299888611,33.8926061,0.908543993,305.0334549 +5345,MN,875,7501,106,50,1004,2,2,10003,E005,13,14,5300,1,6, ,141 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,R6,2,0, , ,1500,5192,0,5192,0,0,0,0,0,0,2,1,4,2,2,20,75,20,53, ,3,N,0,5,34013,268369,0,0,1910,2005,0,Gramercy Park Historic District, ,3.46,4,0,4,1,1008757501,1560,50,988281,207713,12c, ,102 046,10307, ,1008750035,7/6/2006,1, , ,17V1.1,7,198.3697623,1590.385835,234356,5,0,5345,5345,7,1575,25.84222221,28.82999992,2.98777771,26.2690476,1.045504408,183.8833332 +5346,MN,97,33,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,234 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,C1,2,0,P,FOURTH JAM DEVELOPMEN,2718,9826,0,9826,0,0,0,0,0,0,2,1,4,8,8,36.67,73,36.67,73, ,0,Y,5,5,226454,676552,0,0,1900,0,0,South Street Seaport Historic District, ,3.62,6.02,6,6.5,1,1000970033,0,1501,983693,197143,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,224.9918352,2839.146587,450098,4,1,5346,5346,13,2925,5.993332863,5.993332863,0,5.993332863,0,77.91332722 +5347,MN,778,66,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,250 WEST 29 STREET,M1-6D, , , , , , , , , ,N,G6,10,0, ,249 W. 28TH STREET PR,975,0,0,0,0,0,0,0,0,0,7,1,0,0,0,25,40.08,0,0, ,0,Y,5,5,105750,105750,0,0,0,0,0, , ,0,10,10,10,1,1007780066,0,95,985594,212030,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,134.0650376,1049.358209,0,6,0,5347,5347,6,1350,26.68777847,29.57999992,2.892221451,27.5717783,1.257834215,165.4306698 +5348,MN,496,5,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,87 CROSBY STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,CITY STUDIOS INC,3450,20080,1420,18660,0,1420,0,0,0,0,2,1,6,7,8,25,142,25,138, ,3,Y,5,2,275556,1032150,16930,16930,1900,1987,0,SoHo-Cast Iron Historic District Extensi, ,5.82,0,5,6.5,1,1004960005,0,43,985025,202722,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,341.7134019,3680.54743,756594,0,0,5348,5348,16,3600,36.02599716,36.64899826,0.623001099,36.61006069,0.150804555,585.7609711 +5349,MN,770,25,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,227 WEST 20 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"225 WEST 20TH STREET,",2180,9234,0,9234,0,0,0,0,0,0,2,1,5,22,22,25,92,25,58,E,3,Y,5,2,128700,1077300,0,0,1920,0,0, , ,4.24,4,0,4,1,1007700025,0,87,984758,209949,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,238.6858499,2210.691083,948600,7,0,5349,5349,10,2250,22.20999908,22.20999908,0,22.20999908,0,222.0999908 +5350,MN,194,16,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,32 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,HOP YEE INC,1260,2514,2514,0,1254,1260,0,0,0,0,2,1,2,0,2,25,50.17,25,50, ,3,N,3,2,118800,569250,0,0,1954,1989,0,Tribeca East Historic District, ,2,6.02,6,6.5,1,1001940016,0,33,983110,201411,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,158.9030043,1423.620279,450450,14,0,5350,5350,7,1575,12.8255558,14.65777779,1.832221985,13.0873018,0.641144137,91.61111259 +5351,MN,590,19,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,18 JONES STREET,R6, , , , , , , , , ,N,C0,2,0, ,"TAYLOR, BARBARA NEVIN",1139,3288,0,2455,0,0,0,0,0,0,2,1,3,3,3,21.1,54,21,54, ,3,N,5,1,53734,161570,1550,1550,1910,0,0,Greenwich Village Historic District Exte, ,2.89,2.43,0,4.8,1,1005900019,0,67,983577,205923,12a, ,103 005,10208, ,1005900018,11/26/1997,1, , ,17V1.1,0,152.3848229,1162.423701,107836,9,0,5351,5351,5,1125,17.54000092,18.51666641,0.976665497,17.73533401,0.390666199,88.67667007 +5352,MN,558,6,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,125 4 AVENUE,C6-2A, , , , , , , , , ,N,L8,6,0, ,"FOURTH AVENUE GROUP,",1540,3660,2580,1080,0,2580,0,0,0,0,2,1,3,1,3,20.5,77,20.5,40, ,3,Y,5,2,89550,1055700,0,0,1920,0,0, , ,2.38,6.02,6,6.5,1,1005580006,0,42,987117,206352,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,205.2217286,1652.678575,966150,12,0,5352,5352,6,1350,38.19900131,39.82144547,1.622444153,38.61540858,0.627073892,231.6924515 +5353,MN,277,21,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,35 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,LUCKY 195 MADISON ETA,2200,10134,1700,8434,0,1700,0,0,0,0,2,1,6,17,18,25,88,25,75, ,3,N,5,1,81000,570600,0,0,1910,0,0, , ,4.61,3.44,0,6.5,1,1002770021,0,8,985732,198849,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,234.404006,2338.393163,489600,16,0,5353,5353,10,2250,26.91300011,29.25033379,2.337333679,27.37008896,0.914472185,273.7008896 +5354,MN,582,18,102,67,4005,2,3,10014,E024,6,15,6400,1,2,1B,66 LEROY STREET,C2-6, , , , , , , , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,6332,11943,11943,0,11943,0,0,0,0,0,2,1,2,0,2,44.5,108,44.5,112.33, ,3,Y,5,2,679500,1209600,679500,1209600,1910,1965,0,Greenwich Village Historic District Exte, ,1.89,3.44,2,6.5,1,1005820018,0,67,982772,205197,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,399.4266059,6851.793773,530100,9,0,5354,5354,32,7200,15.38333321,18.00111198,2.617778778,15.46513879,0.455474231,494.8844414 +5355,MN,236,31,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1A,193 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,129 CHAD ERIK LITTLEI,1500,7250,1300,5950,0,1300,0,0,0,0,2,1,5,12,13,25,60,24,54, ,2,N,3,2,194850,1458900,0,0,1900,1997,0, , ,4.83,6.02,6,6.5,1,1002360031,0,41,984813,200983,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,180.6636635,1711.489149,1264050,0,0,5355,5355,7,1575,24.0720005,24.0720005,0,24.0720005,0,168.5040035 +5356,MN,283,63,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,144 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0,P,RANGOON INC,1550,6260,1275,4985,0,1275,0,0,0,0,2,1,5,16,18,25,62.17,25,50, ,2,N,5,2,105750,440100,0,0,1900,1988,2004, , ,4.04,6.02,6,6.5,1,1002830063,0,6,986685,199461,12d, ,101N051,10107, ,0, ,1, , 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,17V1.1,0,800.6979314,39805.4179,50255100,14,0,5404,5404,176,39600,14.96500015,21.55555534,6.590555191,15.89454557,1.486203992,2797.44002 +5405,MN,698,57,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,542 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,J5,5,0,P,27TH STREET PROPERTY,9326,49242,49242,0,0,16355,0,24707,8180,0,2,1,6,0,5,94.42,98.75,94.42,87, ,3,N,5,0,630000,5655150,0,0,1901,1989,0,West Chelsea Historic District, ,5.28,0,5,6.5,1,1006980057,0,99,983103,212786,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,393.0837106,9650.013226,5025150,2,1,5405,5405,45,10125,9.857999802,11.01666641,1.158666611,9.914701059,0.219801728,446.1615477 +5406,MN,181,16,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,181 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,FANTIS TRANSFER CORPI,4784,26000,21650,4350,12000,8000,0,1650,0,0,2,2,6,1,7,54.67,88.75,54,88,E,0,Y,5,5,348300,2012400,0,0,1915,1992,0,Tribeca West Historic District, ,5.43,6.02,6,6.5,1,1001810016,0,39,981583,201292,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,290.0216615,5019.023526,1664100,14,0,5406,5406,24,5400,18.23666763,18.42000008,0.183332443,18.25807484,0.033924469,438.1937962 +5407,MN,345,13,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,323 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,D7,4,0,P,323 HOUSTON STREET CO,2500,9375,1875,7500,0,0,0,0,0,1875,2,1,5,16,17,25,100,25,75, ,0,N,5,5,118800,275400,118800,275400,1920,1993,0, , ,3.75,6,0,6,1,1003450013,0,2201,989002,201903,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,259.9957301,2673.780585,156600,1,0,5407,5407,11,2475,18.41222191,20.66444397,2.252222061,18.76147461,0.682533775,206.3762207 +5408,MN,883,75,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,118 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,JOANMAR RLTY INC,1521,3891,1550,2341,350,1200,0,0,0,0,2,1,4,3,6,19.75,77,19,70,E,3,N,3,5,159796,565507,0,0,1910,1990,0, , ,2.56,6.02,6,6.5,1,1008830075,0,68,989027,209846,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,202.8660603,1714.661921,405711,11,0,5408,5408,8,1800,33.29444504,35.4888916,2.194446564,34.00845957,0.935271258,272.0676765 +5409,MN,765,62,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,234 WEST 16 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,234 WEST 16TH STREET,2906,12080,0,12080,0,0,0,0,0,0,2,1,5,20,20,27.13,103.25,27,93,E,3,Y,5,2,179550,1111500,4720,4720,1915,1984,0, , ,4.16,4,0,4,1,1007650062,0,81,984104,209020,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,268.3794993,2824.133762,931950,7,0,5409,5409,13,2925,22.05333328,26.4422226,4.388889313,22.70615387,1.311897624,295.1800003 +5410,MN,592,57,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,152 WAVERLY PLACE,R6, , , , , , , , , ,N,A5,1,0, ,"PEPPERMAN, ELIZABETH",2162,5544,0,4974,0,0,0,0,0,0,2,1,4,1,1,22.25,97.08,22.25,61, ,3,N,5,1,67905,354460,0,0,1915,1999,1999,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1005920057,0,71,983936,206400,12a,Y,103 017,10208, ,1005920056,2/9/2000,1, , ,17V1.1,0,243.6242299,2312.818353,286555,9,0,5410,5410,9,2025,17.50333405,18.09444427,0.591110229,17.56901296,0.185768023,158.1211166 +5411,MN,587,5,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,68 BEDFORD STREET,C2-6,R6, , , , , , , , ,Y,A4,1,0, ,"TARSITANO, ANTHONY S",1140,1596,0,1596,0,0,0,0,0,0,2,1,3,1,1,19,60,19,32, ,3,N,5,2,21235,111974,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.4,3.44,2,6.5,1,1005870005,0,67,982969,205721,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,168.4391596,1246.174843,90739,9,0,5411,5411,6,1350,15.94888878,18.04500008,2.096111298,16.29824066,0.781174558,97.78944397 +5412,MN,830,62,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,1195 BROADWAY,M1-6, , , , , , , , , ,N,O6,5,0,P,1201 BROADWAY LLC,11200,107030,107030,0,85360,21670,0,0,0,0,2,1,10,0,81,105.75,94.42,104,132, ,1,Y,3,2,4284000,11565450,0,0,1930,1987,0, , ,9.56,0,10,10,1,1008300062,0,76,987314,211039,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,444.3686831,11852.23895,7281450,6,0,5412,5412,53,11925,46.40222168,47.73777771,1.33555603,46.70024001,0.17717218,2475.11272 +5413,MN,530,1,102,55.02,2001,2,1,10012,L009,9,15,5700,1,2,2A,670 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,670 BROADWAY OWNER LP,11137,52999,52999,0,32999,20000,0,0,0,0,2,1,5,0,3,85.58,130.17,85.83,125, ,2,Y,3,2,1674000,8936326,0,0,1900,2016,0,NoHo Historic District, ,4.76,0,5,6.5,1,1005300001,0,5502,985687,204224,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,448.8707501,11978.32751,7262330,9,0,5413,5413,53,11925,40.38700104,40.88888931,0.501888275,40.40374734,0.085314819,2141.398609 +5414,MN,562,18,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,68 EAST 11 STREET,C6-1, , , , , , , , , ,N,G1,10,0,P,BF/RF REALTY LLC,4010,21595,21595,0,0,0,21595,0,0,0,2,1,6,0,1,42.33,94.75,42.29,94, ,3,N,5,2,450000,2655900,0,0,1930,1931,0, , ,5.39,3.44,6,6.5,1,1005620018,0,61,986408,206183,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,284.5703292,4229.31295,2205900,8,0,5414,5414,18,4050,34.39444351,40.67777634,6.283332825,35.07049285,1.913305218,631.2688713 +5415,MN,97,43,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,212 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,0, ,"212 FRONT STREET,",960,3840,1920,1920,0,1920,0,0,0,0,2,1,4,2,3,26.33,37,26,37, ,2,Y,3,2,188550,684000,0,0,1900,0,0,South Street Seaport Historic District, ,4,6.02,6,6.5,1,1000970043,0,1501,983500,196992,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,131.5761012,1057.096984,495450,4,1,5415,5415,5,1125,5.993332863,5.993332863,0,5.993332863,0,29.96666431 +5416,MN,940,47,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,324 EAST 35 STREET,R8, , , , , , , , , ,N,D4,3,0,P,324 EAST 35TH STREET,2500,13375,0,13375,0,0,0,0,0,0,2,1,5,24,24,25,100,25,76, ,3,N,5,0,196200,1188900,7080,7080,1910,1974,0, , ,5.35,6.02,0,6.5,1,1009400047,0,78,991389,210594,8d, ,104 024,10309, ,0, ,1, ,1,17V1.1,0,253.9594011,2532.498988,992700,10,1,5416,5416,10,2250,8.051111221,13.77111053,5.719999313,8.623111153,1.715999794,86.23111153 +5417,MN,211,3,101,33,2000,2,1,10013,E007,1,15,7700,1,1, ,350 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,Z3,8,0,P,UNITED STATES POSTAL,25587,47237,47237,0,47237,0,0,0,0,0,2,1,2,0,2,154.36,152.83,134,182, ,1,Y,3,2,2878650,5828850,2878650,5828850,1938,1994,0, , ,1.85,6.02,6,6.5,1,1002110003,0,33,983114,201764,12a, ,101N045,10105, ,1002110003,2/15/2007,1,1,1,17V1.1,0,656.3460479,26641.76874,2950200,0,1,5417,5417,117,26325,9.686666489,11.38777828,1.701111794,9.894577564,0.170964061,1157.665575 +5418,MN,795,61,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,134 WEST 20 STREET,C6-3A, , , , , , , , , ,N,C6,2,0,P,134 WEST 20TH ST HDFC,2300,8855,1600,7255,0,1600,0,0,0,0,2,1,5,16,17,25,92,25,79, ,3,N,5,2,181350,684000,181350,449616,1901,0,0, , ,3.85,7.52,6,7.5,1,1007950061,0,87,985401,209426,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,242.9224011,2508.336739,502650,7,0,5418,5418,11,2475,27.66555595,29.46199989,1.796443939,27.82886904,0.516441322,306.1175594 +5419,MN,988,1,106,44,5006,2,4,10009,L011,13,14,6000,1,6,1A,230 AVENUE C,M3-2, , , , , , , , , ,N,U2,7,0,P,CON EDISON,0,0,0,0,0,0,0,0,0,0,7,2,0,0,0,206.5,1091.83,0,0, ,0,Y,3,5,19697000,1094624000,0,0,0,0,0, , ,0,0,2,0,1,1009880001,0,44,991552,204529,12c, ,102 031,10310, ,0, ,1,1,1,17V1.1,0,2552.992866,220375.9879,1074927000,12,1,5419,5419,980,220500,6.203999996,10.4444437,4.240443707,6.843447849,1.032705178,6706.578892 +5420,MN,3,3,101,9,1020,2,1,10004,L015,1,15,7700,1,1, , PETER MINUIT PLAZA,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,33600,0,0,0,0,0,0,0,0,0,7,3,0,0,1,180,370,0,0, ,1,Y,1,0,4527900,4527900,4527900,4527900,0,0,0, , ,0,0,0,0,1,1000030003,0,9,980605,195017,12b, ,101S087,10101, ,1000030003,8/5/2009,1,1,1,17V1.1,0,1112.274616,52982.60542,0,17,1,5420,5420,236,53100,1.084999919,9.860221863,8.775221944,7.279101167,1.015793123,1717.867875 +5421,MN,469,7505,103,40,1000,1,2,10003,L003,9,14,6200,4,3, ,123 3 AVENUE,C1-9A, , , , , , , , , ,N,RM,4,0, , ,4426,47724,3364,44360,0,2240,0,1124,0,0,2,1,17,47,48,28.5,100,28.5,100, ,1,Y,0,2,1858502,9823955,0,5212734,2009,0,0, , ,10.78,10,2,10,1,1004697505,2222,40,987884,206305,12c, ,102 026,10205, ,1004690010,1/31/2011,1, , ,17V1.1,7,372.304106,4759.310374,7965450,12,0,5421,5421,21,4725,35.77000046,36.82888794,1.058887482,36.42978759,0.322900883,765.0255394 +5422,MN,699,32,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,301 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,C7,4,0,P,TENTH AVENUE PARTNERS,2469,10000,2000,8000,0,2000,0,0,0,0,2,1,5,18,19,24.67,100,25,82, ,2,N,5,2,248850,1354050,0,0,1930,1962,0, , ,4.05,7.52,6,10,1,1006990032,0,99,983561,212726,8b, ,105S004,10301, ,0, ,1, , ,17V1.1,0,254.3557261,2537.342413,1105200,2,0,5422,5422,11,2475,12.1744442,12.63111115,0.456666946,12.21595938,0.131282517,134.3755531 +5423,MN,804,71,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,158 WEST 29 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,BRO REALTIES L L C,4937,58764,58764,0,0,4000,0,54764,0,0,2,1,12,0,13,50,98.75,50,99,E,2,N,5,2,747000,4409550,0,0,1912,1981,0, , ,11.9,0,10,10,1,1008040071,0,95,986329,211587,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,304.1911976,5115.163048,3662550,6,0,5423,5423,22,4950,33.41199875,34.02266693,0.610668182,33.51430251,0.112238525,737.3146553 +5424,MN,504,25,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,190 PRINCE STREET,R7-2, , , , , , , , , ,N,M4,8,0,P,CHURCH ST ANTHONY PAD,4620,10246,10246,0,0,0,0,0,0,10246,2,1,3,0,1,60,77,54,70, ,1,N,3,2,634500,1261800,0,0,1955,0,0,Sullivan-Thompson Historic District, ,2.22,3.44,0,6.5,1,1005040025,0,49,983520,203933,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,284.6082434,4994.463141,627300,0,0,5424,5424,22,4950,17.73666573,21.37666702,3.640001297,18.67879738,1.505314558,410.9335423 +5425,MN,848,7502,105,52,1001,2,2,10003,E014,13,15,5700,1,5, ,890 BROADWAY,M1-5M, , , , , , , , , ,N,RA,8,0, , ,16780,133923,133923,0,0,0,0,0,0,133923,2,1,8,0,4,0.38,92,0,0, ,0,N,5,5,3932099,19201516,1958961,12728271,1906,0,0,Ladies' Mile Historic District, ,7.98,0,5,6.5,1,1008487502,986,52,987158,208345,8d, ,102 044,10306, ,1008480018,11/26/1997,1, , ,17V1.1,7,572.9892404,18240.64086,15269400,7,0,5425,5425,81,18225,35.19100189,42.4667778,7.275775909,35.35524467,0.887670189,2863.774818 +5426,MN,466,16,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,214 EAST 11 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,E B D ASSOCIATES,3467,13764,0,13764,0,0,0,0,0,0,2,1,6,23,23,36.5,95,37,81, ,3,N,5,2,372600,1893150,0,0,1920,1986,0, , ,3.97,4,0,4,1,1004660016,0,40,987603,205519,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,274.8662818,3640.988971,1520550,12,0,5426,5426,17,3825,32.08111191,33.95522308,1.874111176,32.19135374,0.440967335,547.2530136 +5427,MN,417,7501,103,30.01,1002,1,1,10002,L018,7,14,6600,2,3, ,190 ALLEN STREET,C4-4A, , , , , , , , , ,N,RC,5,0, , ,8074,108513,0,0,0,0,0,0,0,0,2,1,20,0,142,76.1,110.21,0,0, ,0,Y,0,5,1921500,20394000,0,0,2005,0,0, , ,13.44,4,4,4,1,1004177501,1994,3001,987435,202351,12c, ,102 003,10204, ,1004170074,4/7/2009,1, , ,17V1.1,7,370.3924582,8257.832274,18472500,1,0,5427,5427,38,8550,33.19499969,37.33777618,4.142776489,33.4221342,0.879038903,1270.0411 +5428,MN,744,9,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,355 WEST 20 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,355 WEST 20TH STREETC,1628,3036,0,3036,0,0,0,0,0,0,2,1,3.5,5,5,22,74,22,45, ,3,N,5,5,163654,275213,0,0,1900,0,0,Chelsea Historic District, ,1.86,3,0,3,1,1007440009,0,89,983704,210528,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,198.5087387,1626.047154,111559,7,0,5428,5428,7,1575,15.84222221,16.67000008,0.827777863,15.96047619,0.289661912,111.7233334 +5429,MN,608,59,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,135 WEST 12 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"JADWAT, OMAR C",2317,5760,0,5760,0,0,0,0,0,0,2,1,4,5,5,22.42,103.25,22,58,E,3,N,5,5,363789,555621,2360,2360,1930,1986,0,Greenwich Village Historic District, ,2.49,2.43,0,4.8,1,1006080059,0,71,984555,207690,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,259.9085759,2432.113533,191832,8,0,5429,5429,11,2475,24.04400063,25.82999992,1.785999298,24.2063642,0.513438698,266.2700062 +5430,MN,770,75,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,212 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,ENS/21 LLC,2723,9891,825,9066,0,825,0,0,0,0,2,4,3,17,18,25,108.92,25,36, ,3,N,3,5,367650,1425600,0,0,1900,1988,0, , ,3.63,4,2,4,1,1007700075,0,87,984480,210254,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,276.1339812,3032.42535,1057950,7,0,5430,5430,14,3150,22.20999908,23.59988976,1.389890671,22.40508665,0.436950399,313.6712132 +5431,MN,740,45,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,324 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,17 W 24TH ST NOMINEE,3100,10800,0,10800,0,0,0,0,0,0,2,1,5,12,12,25,125.08,25,94, ,3,Y,5,2,125550,663750,125550,575070,1910,1986,0, , ,3.48,4,0,4,1,1007400045,0,83,983598,209570,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,304.2791575,3091.44523,538200,7,0,5431,5431,14,3150,15.59444427,19.37111092,3.776666641,16.13725376,1.017143491,225.9215527 +5432,MN,844,3,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,87 5 AVENUE,C6-4M,C6-2A, , , , , , , , ,Y,O6,5,0, ,DEZER PROPERTIES 89,6100,57820,57820,0,50820,7000,0,0,0,0,2,1,11,0,55,56.08,116.83,56,113, ,3,N,5,2,2700000,10048050,0,0,1904,1986,2015,Ladies' Mile Historic District, ,9.48,10,10,10,1,1008440003,0,52,986426,207949,12c, ,102 034,10306, ,0, ,1, , 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,17V1.1,0,257.2685793,2610.459033,902250,1,0,5440,5440,11,2475,35.86666489,35.86666489,0,35.86666489,0,394.5333138 +5441,MN,592,69,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,371 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,W2,8,0, ,RC CHUR ST JOSEPH,4075,14475,14475,0,0,0,0,0,0,14475,2,1,4,0,1,40.42,102,40,88, ,3,Y,5,2,558000,1427400,0,0,1954,0,0,Greenwich Village Historic District, ,3.55,3.44,0,6.5,1,1005920069,0,71,984083,206233,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,340.8902748,4422.294791,869400,9,0,5441,5441,21,4725,17.50333405,17.50333405,0,17.50333405,0,367.570015 +5442,MN,465,19,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,124 EAST 10 STREET,R8B, , , , , , , , , ,N,A9,1,0,P,"NICOTERA, MARIBETH",630,2700,0,2250,0,0,0,0,0,0,2,1,5,1,1,18,34.58,18,25, ,3,Y,5,1,24060,78256,0,0,1899,2011,0,St. Mark's Historic District, ,4.29,4,0,4,1,1004650019,0,40,987561,205291,12c, ,102 018,10205, ,0, ,1, , 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WOLCHOK L.,1875,8313,1877,6436,0,1877,0,0,0,0,2,1,5,4,6,25,75.08,25,75, ,3,N,5,5,129744,773503,0,0,1915,1985,0, , ,4.43,7.52,6,7.5,1,1001350016,0,21,982083,199642,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,203.2688829,1861.751581,643759,3,0,5453,5453,8,1800,32.66199875,32.66199875,0,32.66199875,0,261.29599 +5454,MN,912,7502,106,70,2000,2,2,10016,L007,17,14,5800,2,6, ,200 EAST 32 STREET,C1-9, , , , , , , , , ,N,RM,4,0, ,GRUNFELD LARRY,16876,213548,40216,173332,0,22397,7719,9003,0,1097,2,1,35,165,168,85,172.5,0,0, ,0,Y,0,5,2720707,28480065,152218,238466,1990,0,0, , ,12.65,10,2,10,1,1009127502,844,70,990080,210344,8d, ,104 021,10308, ,1009120002,12/31/1993,1, , ,17V1.1,7,629.2481547,17921.11522,25759400,10,0,5454,5454,79,17775,24.9244442,28.91111183,3.986667633,27.03384011,1.044439674,2135.673368 +5455,MN,573,51,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,13 WEST 9 STREET,R6, , , , , , , , , ,N,C2,2,0, ,WILLARD LLC,1599,3800,0,3800,0,0,0,0,0,0,2,1,4,6,6,17.33,92.25,17,56, ,3,N,5,5,101558,380842,0,0,1900,1988,0,Greenwich Village Historic District, ,2.38,2.43,0,4.8,1,1005730051,0,63,985149,206487,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.153335,1558.686736,279284,8,0,5455,5455,5,1125,18.98099899,18.98099899,0,18.98099899,0,94.90499496 +5456,MN,588,15,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,36 GROVE STREET,R6, , , , , , , , , ,N,A4,1,0, ,"BAIRD, MAIKEN",2100,4200,0,3150,0,0,0,0,0,0,2,1,3,1,1,21,100,21,50, ,3,N,5,1,49053,230268,0,0,1899,0,0,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1005880015,0,73,982987,206151,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.0803879,2174.195623,181215,9,0,5456,5456,9,2025,18.94666672,20.60577774,1.659111023,19.50360468,0.674207484,175.5324421 +5457,MN,387,49,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,271 EAST 4 STREET,R8B, , , , , , , , , ,N,N2,8,0,C,DCAS,11900,50478,25378,25100,0,0,0,0,0,25378,2,1,4,88,88,123.7,96.2,98.83,65, ,0,N,5,5,549000,2385000,549000,2385000,1906,1991,0, , ,4.24,4,0,4,1,1003870049,0,2601,989443,202681,12c, ,102 013,10203, ,1003870049,10/24/1991,1, , ,17V1.1,0,439.6323426,11889.51964,1836000,1,1,5457,5457,54,12150,12.50555515,16.31666756,3.811112404,13.54139687,1.446932305,731.2354307 +5458,MN,909,10,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,219 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,219 EAST 28 LLC,2469,9445,0,9445,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,111150,1767600,0,0,1900,0,0, , ,3.83,4,0,4,1,1009090010,0,66,989836,209529,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,257.4552468,2746.632352,1656450,11,0,5458,5458,13,2925,34.61700058,40.52111053,5.904109955,35.5168636,2.05727594,461.7192268 +5459,MN,336,13,103,12,1007,1,1,10002,L018,7,14,7600,1,3,2B,10 PITT STREET,R7-2, , , ,C2-5, , , , , ,N,Y8,7,0,C,NYC DEPT OF HIGHWAYS,30000,144,144,0,0,0,144,0,0,0,2,1,1,0,1,150,200,0,16, ,0,N,3,5,1071000,1276650,1071000,1276650,1900,0,0, , ,0,3.44,0,6.5,1,1003360013,0,12,0,0,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,716.4996282,31689.55512,205650,13,0,5459,5459,140,31500,17.20222282,21.05888939,3.856666565,19.02091272,0.956373117,2662.92778 +5460,MN,798,61,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,132 WEST 23 STREET,C6-3X, , , , , , , , , ,N,S3,4,0, ,GRENDEL CO,1852,5346,1660,3686,0,1660,0,0,0,0,2,1,4,3,4,18.75,98.75,19,99,E,3,N,5,5,201058,464999,0,0,1910,0,0, , ,2.89,9,6,9,1,1007980061,0,91,985860,210036,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,239.2257539,1918.906895,263941,2,0,5460,5460,8,1800,28.16444397,30.71888924,2.554445267,28.48374963,0.844803364,227.869997 +5461,MN,489,33,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,67 THOMPSON STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,67 THOMPSON STREET LL,2383,10482,0,10482,0,0,0,0,0,0,2,1,6,24,24,23.83,100,24,89, ,2,N,5,2,156150,1429650,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.4,3.44,0,6.5,1,1004890033,0,47,983332,203204,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,252.0796007,2548.335946,1273500,0,1,5461,5461,11,2475,9.686666489,12.41888905,2.732222557,9.935050357,0.78545876,109.2855539 +5462,MN,499,27,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,121 MERCER STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,121 MERCER CORP,2483,12452,0,12452,0,0,0,0,0,0,2,1,5,5,5,24.83,100,25,93,E,3,N,5,2,111400,666984,27089,27089,1900,2005,0,SoHo-Cast Iron Historic District, ,5.01,0,5,6.5,1,1004990027,0,49,984452,203119,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,258.6294775,2614.059805,555584,0,0,5462,5462,11,2475,22.35555458,22.35555458,0,22.35555458,0,245.9111004 +5463,MN,206,13,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1A,188 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,LORBERN REALTY CORP,2508,7644,1520,6124,0,1520,0,0,0,0,2,2,4,16,17,25.08,100,20,38, ,0,N,5,2,201150,387000,0,0,1900,0,0, , ,3.05,6.02,6,6.5,1,1002060013,0,41,984690,200901,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,256.8839592,2601.678498,185850,0,0,5463,5463,12,2700,25.95999908,28.78999901,2.829999924,26.34629536,0.888736554,316.1555443 +5464,MN,595,44,101,39,1003,2,1,10013,L008,1,15,7700,1,1,3B,472 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,CITY OF NEW YORK,1500,9834,0,9834,0,0,0,0,0,0,2,1,7,7,7,18.75,80,19,80, ,3,N,5,2,60663,292136,11800,11800,1900,2014,0, , ,6.56,6.02,6,6.5,1,1005950044,0,39,981578,203183,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,203.9957101,1554.065287,231473,0,1,5464,5464,7,1575,7.909999847,7.909999847,0,7.909999847,0,55.36999893 +5465,MN,527,3,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,6 BEDFORD STREET,R7-2,R6, , ,C1-5, , , , , ,Y,A4,1,0, ,"PATEL, MIHIR J",1892,3358,0,3358,0,0,0,0,0,0,2,1,4,1,1,22,86,22,40, ,3,N,5,2,57447,125232,0,0,1899,2011,0,Greenwich Village Historic District Exte, ,1.77,3.44,0,6.5,1,1005270003,0,67,983357,204853,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,195.8309018,1345.418036,67785,9,0,5465,5465,5,1125,15.38333321,16.6222229,1.238889694,15.63111115,0.495555878,78.15555573 +5466,MN,590,21,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,14 JONES STREET,R6, , , , , , , , , ,N,C4,2,0, ,14 JONES LLC,2520,9395,0,9395,0,0,0,0,0,0,2,1,5,20,20,24.92,100,25,84, ,3,N,5,2,195300,1097100,0,0,1920,0,0,Greenwich Village Historic District Exte, ,3.73,2.43,0,4.8,1,1005900021,0,67,983625,205920,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,252.1175332,2543.106905,901800,9,0,5466,5466,12,2700,17.54000092,21.62999916,4.089998245,17.8808341,1.130415798,214.5700092 +5467,MN,912,41,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,246 EAST 32 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,246 EAST 32ND STREET,1852,4147,0,4147,0,0,0,0,0,0,2,1,4,3,3,18.75,98.75,19,48, ,3,N,5,5,61480,273480,0,0,1900,2010,0, , ,2.24,3,0,3,1,1009120041,0,70,990475,210175,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,239.6936089,1878.595422,212000,10,0,5467,5467,9,2025,26.45000076,28.11444473,1.66444397,26.66963026,0.520013029,240.0266724 +5468,MN,921,29,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,243 1 AVENUE,C1-7A, , , , , , , , , ,N,K4,4,0, ,EULESS TEXAS ASSOCS,4740,12640,12640,0,4740,7900,0,0,0,0,2,1,2,0,1,60,79,60,79, ,3,N,5,2,639900,2576700,0,0,1949,1987,2011, , ,2.67,6.02,2,6.5,1,1009210029,0,48,989061,205878,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,278.6505589,4760.04863,1936800,12,0,5468,5468,22,4950,22.90500069,22.90500069,0,22.90500069,0,503.9100151 +5469,MN,280,6,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,33 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C4,2,0, ,33 HENRY STREET LLC,2188,8360,1672,6688,0,1672,0,0,0,0,2,1,5,18,21,25,87.5,25,76, ,3,N,5,2,96750,562500,0,0,1900,0,0, , ,3.82,3.44,0,6.5,1,1002800006,0,8,985294,199068,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,224.7694371,2103.39622,465750,16,0,5469,5469,8,1800,27.8318882,29.04899979,1.217111588,28.1361661,0.527024777,225.0893288 +5470,MN,885,11,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,111 EAST 29 STREET,C4-5A, , , , , , , , , ,N,K9,5,0, ,111 EAST 29 REALTY LL,1975,6626,3386,3240,0,1800,0,1586,0,0,2,1,4,3,4,20,98.75,20,96,E,3,N,5,2,432000,1057950,0,0,1910,2002,0, , ,3.35,4,4,4,1,1008850011,0,72,989038,210265,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,240.9547158,1973.084949,625950,11,0,5470,5470,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +5471,MN,875,74,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,12 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,D3,3,0, ,"ABBEY, JONATHAN",2907,10300,0,10300,0,0,0,0,0,0,2,1,5,7,7,26.67,109,27,88,E,3,N,5,0,126332,768660,0,0,1920,1985,0,Gramercy Park Historic District, ,3.54,3,0,3,1,1008750074,0,50,987847,208064,12c,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,281.900474,2988.705982,642328,5,0,5471,5471,14,3150,30.81999969,33.58444595,2.764446259,31.09484114,0.717162408,435.327776 +5472,MN,861,66,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,14 EAST 32 STREET,C5-2, , , , , , , , , ,N,H3,5,0, ,16 EAST 32 CORP.,6468,71250,0,0,0,0,0,0,0,0,2,1,12,0,1,65.5,98.75,66,96,E,3,N,5,1,1350000,9107100,0,0,1910,1983,1922, , ,11.02,10,10,10,1,1008610066,0,74,988512,211263,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,343.9791275,6953.788569,7757100,10,0,5472,5472,32,7200,38.80799866,41.58555603,2.777557373,39.03943622,0.725587007,1249.261959 +5473,MN,515,7501,102,49,1000,2,1,10012,L020,1,15,6800,1,2, ,139 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,36270,7629,28641,0,6828,0,801,0,0,2,1,10,16,18,50,200,50,200, ,0,Y,0,5,788846,7834745,0,1419379,2006,0,0,SoHo-Cast Iron Historic District, ,4.84,0,5,6.5,1,1005157501,1633,49,984221,203750,12c, ,101N071,10206,R-80,1005150034,1/8/2007,1, , ,17V1.1,7,515.5314856,7687.985144,7045900,9,0,5473,5473,33,7425,20.20444489,22.6257782,2.421333313,20.27781862,0.415064535,669.1680145 +5474,MN,779,26,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,223 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O8,5,0, ,"ROVER-NYC, LLC",2312,4721,2608,2113,2608,0,0,0,0,0,2,1,2.5,1,2,23.42,98.75,23,98, ,2,N,5,2,180900,778950,0,0,1920,0,0, , ,2.04,10,10,10,1,1007790026,0,95,985970,211964,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,252.8577502,2515.1216,598050,6,0,5474,5474,11,2475,31.05999947,32.81666565,1.756666183,31.25444395,0.505971197,343.7988834 +5475,MN,642,66,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,77 JANE STREET,R6, , , , , , , , , ,N,C0,2,0, ,"77 JANE STREET, LLC",1807,4080,0,3000,0,0,0,0,0,0,2,1,3,3,3,20.67,87.42,20.67,42,E,3,N,5,1,39311,139382,0,0,1899,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1006420066,0,79,982268,208268,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,226.5654352,1879.726655,100071,8,1,5475,5475,6,1350,10.79777813,12.50666618,1.708888054,11.08259281,0.636864976,66.49555683 +5476,MN,438,10,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,404 EAST 11 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,O8,5,0,P,FOUR GUDS RLTY CORP,2369,5952,4464,1488,2976,0,0,1488,0,0,2,2,3,1,3,25,94.75,23,64, ,2,N,5,0,157500,608400,0,0,1900,0,0, , ,2.51,4,0,4,1,1004380010,0,34,988783,204868,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,246.9612343,2462.050582,450900,12,0,5476,5476,10,2250,17.98900032,22.01000023,4.020999908,18.66504459,1.305596155,186.6504459 +5477,MN,385,46,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,248 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JAMES ATAMANUK,2623,11017,0,11017,0,0,0,0,0,0,2,1,5,20,20,24.75,105.92,25,88, ,2,N,5,2,135000,979650,0,0,1900,1997,0, , ,4.2,4,0,4,1,1003850046,0,2202,989364,202131,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,271.3983404,2943.461194,844650,1,0,5477,5477,12,2700,14.97222233,14.97222233,0,14.97222233,0,179.6666679 +5478,MN,464,59,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,3 ST MARKS PLACE,C6-1, , , , , , , , , ,N,K1,5,0, ,EDWARD GABAY,1761,1795,1795,0,0,1795,0,0,0,0,2,1,1,0,2,24,75,24,73, ,3,Y,5,2,236250,987300,0,0,1920,0,0, , ,1.02,3.44,6,6.5,1,1004640059,0,38,987196,205061,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,207.0481324,1922.774185,751050,12,0,5478,5478,10,2250,34.9980011,34.9980011,0,34.9980011,0,349.980011 +5479,MN,385,50,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,240 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,240 EAST 2ND STREET C,2623,11322,0,11322,0,0,0,0,0,0,2,1,6,24,24,24.75,105.92,25,88, ,1,N,5,2,225000,880200,0,0,1910,1989,0, , ,4.32,4,0,4,1,1003850050,0,2202,989278,202178,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,268.9489562,2810.459417,655200,1,0,5479,5479,12,2700,14.97222233,17.40588951,2.433667183,15.62683344,0.944856119,187.5220013 +5480,MN,556,44,103,42,1002,1,2,10003,L003,9,14,6200,1,3,4B,111 4 AVENUE,C6-2A, , , , , , , , , ,N,D4,3,0, ,FOURTH AVE OWNERS COR,17567,156650,8400,148250,0,8400,0,0,0,0,2,1,13,172,177,141.83,166.75,140,116, ,2,Y,3,2,2677500,17029800,246969,246969,1921,1978,1988, , ,8.92,6.02,6,6.5,1,1005560044,0,42,987104,206092,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,569.5419759,18620.01403,14352300,12,0,5480,5480,81,18225,40.38899994,42.56544495,2.176445007,40.84184637,0.627298932,3308.189556 +5481,MN,147,7502,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,143 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,JORGE D. SMUD,1890,8264,3228,5036,0,0,0,0,0,3228,2,1,5,4,5,25.17,75,0,0, ,0,N,0,5,88242,684581,4720,4720,1915,0,0,Tribeca South Historic District, ,4.37,6.02,6,6.5,1,1001477502,894,33,982074,200337,12a, ,100 000,10104, ,1001470008,12/10/1994,1, , ,17V1.1,7,204.7255428,1900.130182,596339,14,0,5481,5481,9,2025,12.94333363,12.94333363,0,12.94333363,0,116.4900026 +5482,MN,426,38,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,16 RIVINGTON STREET,C6-3A, , , , , , , , , ,N,K1,5,0,P,EAGLE VIEW REALTY COR,6900,8400,8400,0,0,8400,0,0,0,0,2,1,1,0,1,92,75,92,75, ,2,N,3,0,388350,778500,0,0,1994,0,0, , ,1.22,7.52,6,7.5,1,1004260038,0,3601,986339,202136,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,346.6048073,7438.633481,390150,13,0,5482,5482,33,7425,41.51444626,43.3833313,1.86888504,41.57107914,0.320363948,1371.845612 +5483,MN,315,70,103,14.01,2001,1,1,10002,E015,7,14,7400,1,3,1B,465 GRAND STREET,R8, , , ,C1-5, , , , , ,N,O5,5,0, ,SEWARD PARK HOUSING C,18700,18752,18752,0,14552,4200,0,0,0,0,2,1,5,0,2,144.29,158.69,123,66, ,1,Y,3,2,702000,2079000,0,0,1963,2013,0, , ,1,6.02,0,6.5,1,1003150070,0,1401,988678,199703,12d, ,101N085,10107, ,0, ,1, , ,17V1.1,0,581.5878511,18315.1055,1377000,13,0,5483,5483,82,18450,35.99111176,40.1222229,4.131111145,37.81171417,1.486053313,3100.560562 +5484,MN,832,1,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,856 AVENUE OF THE AMER,C6-4X,M1-6, , , , , , , , ,Y,K4,4,0,P,1239 OPERATING LLC,22035,187973,187973,0,0,20000,0,167973,0,0,2,6,4,1,155,74,266.92,24,98, ,3,N,3,2,7425000,26344350,0,0,1900,0,0, , ,8.53,10,10,10,1,1008320001,0,76,987321,211506,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,828.9619177,23763.14454,18919400,6,0,5484,5484,108,24300,41.93888855,47.26333237,5.324443817,42.71391014,1.015110926,4613.102295 +5485,MN,537,33,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,520 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,520 APARTMENT CP,3250,22390,0,22390,0,0,0,0,0,0,2,1,7,14,14,100,33,100,33, ,2,N,3,2,285300,2368800,7080,7080,1900,1969,0,South Village Historic District, ,6.89,3.44,0,6.5,1,1005370033,0,65,984538,204624,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,273.7645221,3584.317208,2083500,9,0,5485,5485,16,3600,27.39777756,30.11222267,2.714445114,27.56743038,0.657062545,441.078886 +5486,MN,873,14,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,119 EAST 17 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,GRAMERCY PALACE CORP.,2300,8929,1200,7729,0,1200,0,0,0,0,2,1,6,7,8,25,92,25,79,E,1,N,5,2,137815,862329,0,0,1900,1970,2013, , ,3.88,4,0,4,1,1008730014,0,50,987650,207516,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,250.5666629,2686.120961,724514,5,0,5486,5486,12,2700,34.90100098,36.47022247,1.569221497,35.03176943,0.43370991,420.3812332 +5487,MN,200,20,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,79 MOTT STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,CENTRAL MANAGEMENT CO,2525,11275,3075,8200,0,3075,0,0,0,0,2,1,5,16,19,25,101,25,82, ,3,Y,5,2,171000,1320750,0,0,1910,0,0, , ,4.47,3.44,6,6.5,1,1002000020,0,29,984744,200337,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,255.8403898,2573.504802,1149750,14,0,5487,5487,12,2700,28.79299927,36.69000244,7.897003174,29.81862926,2.40126126,357.8235512 +5488,MN,279,12,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,13 OLIVER STREET,R7-2, , , ,C2-5, ,TA, , , ,N,S3,4,0, ,WING SHUN LLC,697,2400,650,1750,0,650,0,0,0,0,2,1,4,3,4,17.08,41,17,40, ,3,Y,5,5,84406,168125,0,0,1910,1946,0, , ,3.44,3.44,0,6.5,1,1002790012,0,27,984759,198921,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,121.8148941,803.5962197,83719,16,0,5488,5488,4,900,17.07600021,17.07600021,0,17.07600021,0,68.30400085 +5489,MN,720,36,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,423 WEST 22 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,423 W 23ND ST APT C,1646,5727,1020,4707,0,1020,0,0,0,0,2,1,4,5,6,16.67,98.75,17,60, ,3,N,5,1,95837,577371,0,0,1900,1982,0,Chelsea Historic District Extension, ,3.48,3,0,3,1,1007200036,0,93,983576,211189,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,222.4343111,1599.502,481534,2,1,5489,5489,7,1575,9.369999886,12.94222164,3.572221756,9.880317279,1.250017221,69.16222095 +5490,MN,886,74,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,124 EAST 31 STREET,C4-5A, , , , , , , , , ,N,M2,8,0,P,BISHOP OF NORTH AMERI,2173,8543,8543,0,0,0,0,0,0,8543,2,1,4,0,1,22,98.75,22,77.6,E,3,N,5,2,146700,823500,146700,823500,1910,2008,2008, , ,3.93,4,4,4,1,1008860074,0,72,989314,210523,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,247.1192065,2227.227992,676800,10,0,5490,5490,10,2250,32.27111053,33.23199844,0.960887909,33.13590965,0.288266373,331.3590965 +5491,MN,633,58,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,551 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,551 HUDSON STREET PRO,3122,15168,2400,12768,0,2400,0,0,0,0,2,1,6,20,24,52.92,45,53,55, ,3,Y,3,1,634500,2418300,0,0,1901,0,0,Greenwich Village Historic District, ,4.86,3.44,2,6.5,1,1006330058,0,75,982501,207149,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,233.2162919,3419.277854,1783800,9,0,5491,5491,16,3600,19.46666718,19.89777756,0.431110382,19.49361157,0.104355208,311.8977852 +5492,MN,905,34,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,437 2 AVENUE,C1-8A, , , , , , , , , ,N,I9,8,0,P,SPEISER LP,1197,2603,2603,0,1503,1100,0,0,0,0,2,1,3,0,2,19.75,60.58,19.75,40,E,2,N,3,2,405000,1207800,0,0,1920,0,0, , ,2.17,7.52,2,7.5,1,1009050034,0,66,989712,208581,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,168.3192274,1353.341707,802800,11,0,5492,5492,7,1575,26.78800011,29.73555565,2.947555542,27.54698426,1.210105536,192.8288898 +5493,MN,97,44,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,136 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,A9,1,0,P,"136 BEEKMAN, LLC",477,1900,0,1900,0,0,0,0,0,0,2,1,4,1,1,18.69,25.58,18.6,25.5, ,3,Y,5,5,30023,59097,0,0,1998,0,0,South Street Seaport Historic District, ,3.98,6.02,6,6.5,1,1000970044,0,1501,983475,197033,12b, ,101S023,10103, ,1000970044,2/18/2003,1,1,1,17V1.1,0,91.94676942,503.2516624,29074,4,1,5493,5493,2,450,5.993332863,5.993332863,0,5.993332863,0,11.98666573 +5494,MN,586,64,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,264 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,MARTIN M. LEWIS FAMIL,1350,3006,1350,1656,0,1350,0,0,0,0,2,1,3.5,2,3,18,75,18,75,E,3,N,5,5,47439,97589,0,0,1910,2010,0,Greenwich Village Historic District Exte, ,2.23,3.44,0,6.5,1,1005860064,0,67,983358,205670,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,190.5751241,1340.411243,50150,9,0,5494,5494,7,1575,17.38400078,19.37711143,1.993110657,17.66873087,0.697443444,123.6811161 +5495,MN,897,29,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,212 EAST 16 STREET,R7B, , , , , , , , , ,N,W2,8,0,X,THE NEW YORK QUARTERL,1988,5810,5810,0,0,0,0,0,0,5810,2,1,4,0,1,19.25,103.25,19,58, ,3,N,5,1,144000,1224000,144000,1224000,1930,2008,0,Stuyvesant Square Historic District, ,2.92,3,0,3,1,1008970029,0,48,988221,206741,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,252.803082,2207.112933,1080000,5,0,5495,5495,9,2025,27.7444458,32.45777893,4.71333313,28.4712357,1.520316565,256.2411213 +5496,MN,752,1,104,97,1000,2,3,10001,L024,10,15,5500,1,4,2A,305 9 AVENUE,R8, , , , , , , , , ,N,D4,3,0,P,MUT REDEVELOPMENT,84550,398907,4485,394422,4485,0,0,0,0,0,2,2,22,560,567,178,800,128,126, ,1,Y,1,0,3973500,39546000,3973500,39546000,1963,0,0, , ,4.72,6.02,0,6.5,1,1007520001,0,97,984774,212433,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,2042.816769,90800.16919,35572500,6,0,5496,5496,404,90900,24.77000046,33.63666534,8.866664886,28.61842995,1.802450404,11561.8457 +5497,MN,791,54,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,120 WEST 16 STREET,R8A, , , , , , , , , ,N,N2,8,0,P,NEW YORK STATE OFFICE,5162,8932,8932,0,8932,0,0,0,0,0,2,2,2,0,2,50,103.25,29,50, ,3,N,5,2,544500,1541700,544500,1541700,1931,0,0, ,THE NEW YORK HOUSE AND SCHOOL OF IN,1.73,6,0,6,1,1007910054,0,81,985070,208488,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,311.359774,5245.672384,997200,7,0,5497,5497,24,5400,27.87888908,32.91111374,5.032224655,28.22958358,1.187189647,677.510006 +5498,MN,392,27,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,384 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C4,2,0,P,LOWER EAST SIDE I ASS,9234,49799,0,49799,0,0,0,0,0,0,2,1,6,45,45,100,185,100,80, ,3,Y,4,1,675000,4468500,675000,4468500,1900,1988,0, , ,5.39,4,0,4,1,1003920027,0,28,990284,203750,12c, ,102 022,10203, ,1003920027,11/18/2005,1,1,1,17V1.1,0,394.2210825,9707.970554,3793500,12,1,5498,5498,42,9450,7.576999664,8.564110756,0.987111092,7.627629303,0.194927162,320.3604307 +5499,MN,53,41,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,94 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,S9,4,0, ,"BORKOW, SUSAN B",1709,5382,1709,3673,0,1709,0,0,0,0,2,1,4,3,5,20.92,94,19,91, ,2,Y,3,5,229046,597277,0,0,1915,0,0, ,94 GREENWICH STREET HOUSE,3.15,10,15,15,1,1000530041,0,13,980418,197261,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,238.7757601,1856.346333,368231,15,1,5499,5499,7,1575,7.869999886,7.869999886,0,7.869999886,0,55.0899992 +5500,MN,456,7501,103,36.02,2002,1,2,10003,L020,9,14,6500,3,3, ,11 2 AVENUE,C6-2A,R8X, , ,C2-5, ,TA, , , ,Y,RM,4,0, , ,9860,55583,9226,46357,0,9226,0,0,0,0,2,1,12,65,67,96.02,96.47,96.02,96.47, ,1,Y,0,5,2006101,8684100,960526,7638525,2012,0,0, , ,5.64,6.02,6,6.5,1,1004567501,2336,3602,986678,203118,12c, ,102 001,10205, ,1004560027,9/9/2013,1, , ,17V1.1,7,420.138134,7677.715822,6678000,1,0,5500,5500,34,7650,40.3433342,42.4280014,2.084667206,40.87818639,0.442476411,1389.858337 +5501,MN,712,6,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1B,70 10 AVENUE,M1-5, , , , , ,WCH, , , ,N,K1,5,0,P,461 WEST 14TH STREET,17438,17342,17342,0,0,17342,0,0,0,0,2,1,1,0,1,206.5,98.86,114,51, ,0,N,2,5,1959300,5022900,0,0,2013,0,0, , ,0.99,0,5,6.5,1,1007120006,0,83,982115,209723,8b, ,103 040,10302, ,1007120001,2/21/2014,1, ,1,17V1.1,0,646.2431143,18321.35376,3063600,7,1,5501,5501,83,18675,9.956665993,12.4989996,2.542333603,12.06813087,0.687050439,1001.654862 +5502,MN,439,26,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4A,436 EAST 12 STREET,R8B, , , , , , , , , ,N,D6,4,0,P,"181 AVENUE A, LLC",29705,152148,11500,140648,0,8376,2163,0,0,961,2,3,6,82,84,93,206.5,163,206.5, ,1,N,3,2,2272500,5201577,0,0,2015,2013,0, , ,5.12,4,0,4,1,1004390026,0,34,989246,204838,12c, ,102 028,10205,E-216,1004390026,10/8/2013,1, , ,17V1.1,0,749.2522303,30364.55231,2929080,12,0,5502,5502,134,30150,16.62800026,19.9822216,3.354221344,17.6889454,1.195798628,2370.318684 +5503,MN,429,34,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,23 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S5,4,0, ,EV AVENUE A PROPERTY,1230,4388,1232,3156,0,1232,0,0,0,0,2,1,4,6,7,19.25,64,19,57, ,3,N,5,2,108879,355845,0,0,1920,1989,2011, , ,3.57,4,0,4,1,1004290034,0,3002,988108,202671,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,173.6005718,1326.61388,246966,1,0,5503,5503,6,1350,25.1779995,25.1779995,0,25.1779995,0,151.067997 +5504,MN,479,31,102,41,1002,2,1,10012,L006,5,15,6800,1,2,1F,149 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,FU KEE REALTY CORP,4658,20088,2000,18088,0,2000,0,0,0,0,2,1,6,39,41,50,93.17,50,80, ,2,N,5,2,195750,1700100,0,0,1900,1985,0, , ,4.31,3.44,6,6.5,1,1004790031,0,41,985549,201748,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,292.1915547,4838.701011,1504350,0,0,5504,5504,22,4950,35.33778,35.33778,0,35.33778,0,777.43116 +5505,MN,606,33,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,156 WEST 11 STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"BRIGNOLE, LOUISE KATH",425,1312,656,656,0,328,0,0,0,328,2,1,3,2,3,16.42,33.83,16.42,18, ,3,Y,5,2,34339,79626,0,0,1899,0,0,Greenwich Village Historic District, ,3.09,3.44,2,6.5,1,1006060033,0,71,984113,207490,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,99.64771106,502.9293268,45287,8,0,5505,5505,2,450,22.88899994,22.88899994,0,22.88899994,0,45.77799988 +5506,MN,386,20,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,268 EAST 4 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,268 E 4HT ST HDFC,2382,9100,0,9100,0,0,0,0,0,0,2,1,5,12,12,24.75,96.17,25,84, ,1,N,5,1,180000,693450,180000,568962,1923,0,0, , ,3.82,4,0,4,1,1003860020,0,2601,989369,202546,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,251.8685988,2667.588802,513450,1,0,5506,5506,11,2475,14.43666649,15.01599979,0.579333305,14.52789879,0.196338002,159.8068867 +5507,MN,233,15,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,147 GRAND STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,EMPIRE GRAND LLC,2880,9350,2350,7000,0,2350,0,0,0,0,2,1,4,6,8,36.08,80.33,36,80,E,3,Y,5,2,73433,856079,0,0,1920,0,0,SoHo-Cast Iron Historic District Extensi, ,3.25,0,5,6.5,1,1002330015,0,45,984402,201591,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,243.0494621,3169.304456,782646,0,0,5507,5507,14,3150,17.40800095,21.68266678,4.274665833,17.71333422,1.100894775,247.9866791 +5508,MN,616,5,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,48 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,SM2CJ LLC,668,1887,641,1246,0,641,0,0,0,0,2,1,3,1,2,19,46.5,19,33, ,3,Y,5,2,32840,87091,0,0,1910,0,0,Greenwich Village Historic District, ,2.82,3.44,2,6.5,1,1006160005,0,77,983256,208295,8b, ,103 035,10209, ,1006160005,12/31/1992,1, , ,17V1.1,0,113.2724576,617.2602734,54251,8,0,5508,5508,4,900,21.81777763,22.88999939,1.072221756,22.08583307,0.46428564,88.34333229 +5509,MN,924,34,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,321 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,FOXWOOD REALTY LLC,7360,18285,5520,12765,0,920,0,0,0,0,2,6,4,30,37,92,80,23,40, ,0,N,3,2,576000,2678850,0,0,1880,0,0, , ,2.48,4,2,4,1,1009240034,0,48,989589,206828,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,356.2624896,7900.897889,2102850,5,0,5509,5509,36,8100,14.83555603,16.72922325,1.893667221,15.00853446,0.513214448,540.3072405 +5510,MN,527,84,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,13 DOWNING STREET,R6, , , , , , , , , ,N,C6,2,0, ,13 DOWNING ST OWNERS,2360,8656,0,8656,0,0,0,0,0,0,2,1,4,16,16,29.67,80,30,70, ,2,N,5,2,82800,817200,11800,11800,1920,0,0,Greenwich Village Historic District Exte, ,3.67,2.43,0,4.8,1,1005270084,0,67,983446,205147,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,221.458298,2369.206053,734400,9,0,5510,5510,11,2475,15.38333321,17.3983345,2.015001297,15.59853528,0.577994885,171.5838881 +5511,MN,616,27,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,115 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,MECOX PARTNERS LP,5150,25992,4419,21573,0,4419,0,0,0,0,2,1,6,37,42,82.5,72,71,72, ,2,Y,3,2,486000,5007600,0,0,1927,1986,0,Greenwich Village Historic District, ,5.05,3.44,2,6.5,1,1006160027,0,77,983589,208259,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,326.1753246,5371.873405,4521600,8,0,5511,5511,23,5175,21.81777763,23.96466637,2.146888733,21.9569902,0.478966899,505.0107746 +5512,MN,576,46,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,60 5 AVENUE,C6-4,R6, , , , , , , , ,Y,O3,5,0,X,NEW YORK UNIVERSITY,12885,113500,113500,0,113500,0,0,0,0,0,2,1,8,0,1,103.08,125,103.08,125, ,2,N,3,2,2214000,18401057,2214000,18401057,1924,1986,2015, , ,8.81,10,10,10,1,1005760046,0,63,985693,207061,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,483.6755262,14415.71276,16187100,8,0,5512,5512,64,14400,23.70299912,34.24666595,10.54366684,24.19479927,2.13304612,1548.467154 +5513,MN,612,18,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,26 PERRY STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,26 PERRY STREET REALT,2375,9880,500,9380,500,0,0,0,0,0,2,1,5,15,17,25,95,25,84, ,3,N,5,2,333450,1196550,0,0,1900,1986,0,Greenwich Village Historic District, ,4.16,3.44,2,6.5,1,1006120018,0,73,983669,207246,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,251.0807726,2617.092313,863100,8,0,5513,5513,11,2475,24.50222206,24.50222206,0,24.50222206,0,269.5244427 +5514,MN,627,21,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,53 HORATIO STREET,R6, , , , , , , , , ,N,C6,2,0, ,53 HORATIO OWNERS COR,1530,4998,0,4998,0,0,0,0,0,0,2,2,4,6,6,16,75,16,73,E,3,Y,5,1,125983,377664,2360,2360,1929,1979,0,Greenwich Village Historic District, ,3.27,2.43,0,4.8,1,1006270021,0,79,982554,208488,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,221.6447476,1580.416954,251681,8,0,5514,5514,7,1575,14.72666645,14.72666645,0,14.72666645,0,103.0866652 +5515,MN,822,69,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,52 WEST 21 STREET,C6-4A, , , , , , , , , ,N,S4,4,0,P,ASPEN ESTATE LLC,1392,5118,1258,3860,0,1258,0,0,0,0,2,1,5,4,5,15.08,92,15,69, ,3,N,5,0,87480,659016,0,0,1910,2010,0,Ladies' Mile Historic District, ,3.68,10,10,10,1,1008220069,0,54,986182,209274,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,216.7418482,1462.694596,571536,7,0,5515,5515,7,1575,34.23199844,35.47911072,1.247112274,34.41015734,0.436398389,240.8711014 +5516,MN,393,23,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,632 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,634 E 11TH ST CORP,4740,19980,1000,18980,0,1000,0,0,0,0,2,1,6,33,35,50,94.75,50,80, ,2,N,5,2,621000,2427300,0,0,1900,0,0, , ,4.22,4,0,4,1,1003930023,0,28,990296,204029,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,292.4118513,4786.006734,1806300,12,1,5516,5516,21,4725,7.409999847,9.832221985,2.422222137,7.56211626,0.533522001,158.8044415 +5517,MN,440,1,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4B,198 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,200 FIRST AVENUE ASSO,4792,22472,4494,17978,0,4494,0,0,0,0,2,5,5,28,29,47.92,100,24,52, ,0,N,3,5,426600,2980350,0,0,1900,1986,2001, , ,4.69,4,0,4,1,1004400001,0,34,988923,205241,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,304.3595705,5189.112829,2553750,12,0,5517,5517,24,5400,18.24200058,20.87222099,2.630220413,18.42672269,0.571773461,442.2413445 +5518,MN,211,7502,101,33,2000,2,1,10013,E007,1,15,7700,3,1, ,283 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,X, ,2500,12098,3778,8320,0,1705,0,2073,0,0,2,1,6,4,6,24.92,100.83,25,95, ,0,Y,0,5,70144,736938,70144,736938,1915,0,0, , ,4.84,6.02,6,6.5,1,1002117502,1634,33,982944,201869,12a, ,101N045,10105, ,1002110017,2/22/2007,1,1,1,17V1.1,7,252.1998465,2477.931319,666794,0,1,5518,5518,10,2250,9.686666489,9.686666489,0,9.686666489,0,96.86666489 +5519,MN,443,20,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,67 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,67 EAST 2ND STREET IN,5887,26328,0,26328,0,0,0,0,0,0,2,1,6,49,49,33.33,113,33,99, ,3,Y,5,2,423000,3296700,0,0,1920,1985,0,East Village/Lower East Side Historic Di, ,4.47,4,0,4,1,1004430020,0,3602,987205,203102,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,383.5674774,6030.113536,2873700,1,0,5519,5519,28,6300,31.53899956,32.57777786,1.038778305,31.60184077,0.218660483,884.8515415 +5520,MN,504,21,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,198 PRINCE STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,JOSEPHINE NAPOLETANO,1540,4040,760,3280,0,760,0,0,0,0,2,1,4,4,5,20,77,20,38, ,3,N,5,5,101505,137889,0,0,1900,0,0,Sullivan-Thompson Historic District, ,2.62,3.44,0,6.5,1,1005040021,0,49,983467,203966,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,197.8555347,1551.124869,36384,0,0,5520,5520,6,1350,17.73666573,22.18666649,4.450000763,18.47833252,1.658417368,110.8699951 +5521,MN,745,42,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,306 WEST 22 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,"KHS REALTY, INC.",1975,4996,0,4996,0,0,0,0,0,0,2,1,4,5,5,20,98.75,20,38,E,2,N,5,5,364767,964080,0,0,1920,2007,2007, , ,2.53,3,0,3,1,1007450042,0,89,984357,210575,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,240.3931643,2075.624366,599313,7,0,5521,5521,10,2250,15.9989996,22.46333313,6.464333534,17.58534412,2.38266186,175.8534412 +5522,MN,809,68,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,142 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,MORAVEDA RLTY CORP,2469,4650,4650,0,0,4650,0,0,0,0,2,1,5,0,1,25,98.75,25,99, ,3,N,5,2,1336500,5677200,0,0,1920,0,0, , ,1.88,10,15,15,1,1008090068,0,101,987073,212649,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,255.4685314,2561.984548,4340700,6,0,5522,5522,11,2475,41.24700165,41.24700165,0,41.24700165,0,453.7170181 +5523,MN,537,21,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,548 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,OWNER / AGENT,1111,3120,780,2340,0,780,0,0,0,0,2,1,4,3,4,20,55,20,54.58, ,0,N,5,5,133231,254126,0,0,1900,0,0,South Village Historic District, ,2.81,3.44,0,6.5,1,1005370021,0,65,984696,204895,12c, ,103 007,10207, ,1005370020,12/15/1988,1, , ,17V1.1,0,156.7770643,1200.93834,120895,9,0,5523,5523,5,1125,27.39777756,27.39777756,0,27.39777756,0,136.9888878 +5524,MN,768,7503,104,87,3000,2,3,10011,L012,10,15,5600,1,4, ,211 WEST 18 STREET,C6-2A, , , , , , , , , ,N,R1,2,0, , ,4600,14339,0,14339,0,0,0,0,0,0,2,1,9,8,8,50,92,0,0, ,0,N,0,5,50178,1206371,2360,2360,2001,0,0, , ,3.12,6.02,6,6.5,1,1007687503,1361,87,984692,209432,8d, ,103 033,10304, ,1007680029,8/4/2004,1, , ,17V1.1,7,238.1719846,2467.616376,1156190,7,0,5524,5524,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +5525,MN,284,27,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,167 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,MILLENNIUM DRAGON REA,2612,11063,2391,8672,0,2391,0,0,0,0,2,1,5,16,17,26.08,100,26,81, ,3,N,5,2,177750,577800,0,0,1910,1987,0, , ,4.24,3.44,0,6.5,1,1002840027,0,6,987063,199346,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,261.9742669,2805.607717,400050,16,0,5525,5525,13,2925,28.49444389,29.65444565,1.160001755,28.80396608,0.336132699,374.4515591 +5526,MN,445,20,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,108 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,108 EAST FOURTH,4808,19832,4150,15682,0,4150,0,0,0,0,2,1,6,29,31,50,96.17,50,83, ,3,N,5,2,756000,2727900,0,0,1900,0,0, , ,4.12,4,0,4,1,1004450020,0,38,987471,203598,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,297.1472646,4904.390403,1971900,1,0,5526,5526,22,4950,29.97444344,33.10666656,3.132223129,30.11681721,0.652438617,662.5699787 +5527,MN,410,52,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,115 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,123 ESSEX LLC,1474,2800,2800,0,0,2800,0,0,0,0,2,1,2,0,4,24.17,61,24,59, ,2,N,3,2,191250,498600,0,0,1920,0,0, , ,1.9,4,4,4,1,1004100052,0,18,987635,201498,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,182.692909,1710.139408,307350,13,0,5527,5527,8,1800,31.33099937,31.76666641,0.435667038,31.38545775,0.14408333,251.083662 +5528,MN,211,7501,101,33,2000,2,1,10013,E007,1,15,7700,3,1, ,7 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5530,16622,4203,12419,4203,0,0,0,0,0,2,2,4,9,12,0.12,0,0,0, ,0,N,0,5,270899,1594798,18897,55042,1915,0,0, , ,3.01,6.02,6,6.5,1,1002117501,969,33,982961,201806,12a, ,11N 045,10105, ,1002110011,11/26/1997,1,1,1,17V1.1,7,334.311379,5698.615348,1323900,0,1,5528,5528,26,5850,9.686666489,11.05155563,1.364889145,9.742196413,0.262310221,253.2971067 +5529,MN,614,31,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,225 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,MITCHELL E. HARRIS RE,1940,4320,0,3360,0,0,0,0,0,0,2,1,3,2,2,19.56,97,19.5,44,E,3,Y,5,1,206571,287189,1550,1550,1899,2012,0,Greenwich Village Historic District, ,2.23,2.43,0,4.8,1,1006140031,0,77,983583,207625,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,236.8622462,1878.542376,80618,8,0,5529,5529,10,2250,26.80333328,28.74222183,1.93888855,27.3079998,0.669479778,273.079998 +5530,MN,722,30,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,411 WEST 24 STREET,R8A, , , , , , , , , ,N,D6,4,0, ,411 W.24 ST.ASSOCIATE,2468,11650,1650,10000,1650,0,0,0,0,0,2,2,4,18,19,25,98.75,25,98, ,3,N,5,1,128250,1311300,0,0,1986,0,0, , ,4.72,6,0,6,1,1007220030,0,93,983890,211645,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,257.6316064,2642.304168,1183050,2,1,5530,5530,11,2475,10.68099976,10.68099976,0,10.68099976,0,117.4909973 +5531,MN,520,80,102,37,2000,2,3,10012,L020,1,15,6800,1,2,1A,49 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C3,2,0, ,LOUELLA BERLINER,1273,3088,0,3088,0,0,0,0,0,0,2,1,3,4,4,19.25,67,19,39, ,3,Y,5,5,203407,307559,0,0,1900,1988,0,Charlton-King-Vandam Historic District, ,2.43,3.44,0,6.5,1,1005200080,0,37,983553,204469,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,185.1263571,1424.379098,104152,9,0,5531,5531,7,1575,21.50111198,24.02222252,2.521110535,22.21063559,0.957954634,155.4744492 +5532,MN,722,71,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,458 WEST 25 STREET,R7B, , , ,C2-5, , , , , ,N,C3,2,0,P,"WILSON, ARA A",1775,2310,0,2310,0,0,0,0,0,0,2,1,3,4,4,18,98.75,18,40, ,3,N,5,5,117469,196640,0,0,1900,0,0, , ,1.3,3,0,3,1,1007220071,0,93,983450,212003,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,231.9247468,1652.004593,79171,2,1,5532,5532,7,1575,10.68099976,11.91111088,1.230111122,11.02661896,0.423451546,77.1863327 +5533,MN,514,42,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,125 PRINCE STREET,M1-5A, , , , , , , , , ,N,D9,3,0, ,"MILGROM, HAROLD TR.",2442,14028,2451,11577,0,2451,0,0,0,0,2,1,6,5,6,25.67,95,26,94, ,3,N,3,5,370252,1016524,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,5.74,0,5,6.5,1,1005140042,0,49,984290,203593,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,250.7525082,2712.604666,646272,9,0,5533,5533,13,2925,22.59666634,23.28111076,0.684444427,22.69316204,0.198242891,295.0111065 +5534,MN,778,34,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,207 WEST 28 STREET,M1-6D, , , , , , , , , ,N,O5,5,0, ,YUNG BROTHERS REAL ES,9880,57414,57414,0,52414,5000,0,0,0,0,2,1,6,0,43,49.75,197.5,50,198, ,3,Y,4,2,576000,2910600,0,0,1925,1987,0, , ,5.81,10,10,10,1,1007780034,0,95,986000,211709,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,520.9199039,10727.65329,2334600,6,0,5534,5534,48,10800,28.45999908,30.34311104,1.883111954,28.49923058,0.268957607,1367.963068 +5535,MN,437,37,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,431 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,431 E. 9TH ST. ASSOCS,2306,8740,0,8740,0,0,0,0,0,0,2,1,5,21,21,25,92.25,25,79, ,3,N,5,2,270900,1307250,0,0,1900,1987,0, , ,3.79,4,0,4,1,1004370037,0,34,988861,204430,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,243.6998267,2421.264858,1036350,12,0,5535,5535,11,2475,17.51666641,18.78888893,1.272222519,17.69555543,0.398900204,194.6511097 +5536,MN,12,1,101,9,1007,2,1,10004,L015,1,15,7700,1,1, ,1 BOWLING GREEN,C5-5, , , , , ,LM, , , ,N,P7,8,0,X,U.S. CUSTOMS AND BORD,63805,320665,320665,0,320665,0,0,0,0,0,2,1,7,0,0,191.08,287,191.08,287, ,0,Y,3,2,25841250,52452000,25841250,52452000,1907,0,0, ,UNITED STATES CUSTOM HOUSE,5.03,10,15,15,1,1000120001,0,9,980438,195776,12b, ,101S001,10101, ,0, ,1, , ,17V1.1,0,1084.841351,72251.29673,26610800,17,1,5536,5536,328,73800,13.03900051,18.76555443,5.726553917,13.27059262,0.961069132,4352.75438 +5537,MN,473,35,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,423 BROOME STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,423 BROOME ST CP,3320,19250,2750,16500,0,2750,0,0,0,0,2,1,7,6,7,25.17,134,25,108, ,3,Y,5,2,132209,679003,130508,130508,1900,2013,2008,SoHo-Cast Iron Historic District Extensi, ,5.8,0,5,6.5,1,1004730035,0,45,984541,201983,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,328.9221892,3629.947576,546794,0,0,5537,5537,17,3825,26.17399979,30.31888962,4.144889832,26.69545095,1.183192115,453.8226662 +5538,MN,467,20,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,222 EAST 12 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,222 EAST 12 REALTY LL,2485,5226,0,5226,0,0,0,0,0,0,2,1,4,23,23,23.33,106.5,23,55,E,3,N,5,1,11250,510750,0,0,1910,0,0, , ,2.1,4,0,4,1,1004670020,0,40,987811,205703,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,264.453584,2546.546204,499500,12,0,5538,5538,11,2475,28.52666664,32.49888992,3.972223282,29.9912125,1.63174083,329.9033375 +5539,MN,914,54,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,212 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C7,4,0, ,ROSEBUD ASSOCIATES L,2253,9640,1000,8640,0,1000,0,0,0,0,2,1,5,9,11,25,90.17,25,74, ,3,N,5,2,115650,1492200,0,0,1920,1978,0, , ,4.28,10,2,10,1,1009140054,0,70,990458,210779,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,229.9129448,2294.884518,1376550,10,0,5539,5539,11,2475,17.92555618,25.4533329,7.527776718,18.87858634,2.244423316,207.6644497 +5540,MN,818,51,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,114 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,114 FIFTH AVENUE ASSO,16144,351552,351552,0,328682,17703,0,5167,0,0,2,1,18,0,22,92.5,175,92.5,175, ,2,Y,3,2,6435000,70338150,0,0,1910,1989,2012,Ladies' Mile Historic District, ,21.78,10,10,10,1,1008180051,0,54,986250,208121,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,562.4267613,18102.08713,63903200,7,0,5540,5540,81,18225,31.11599922,39.46777725,8.35177803,32.24726679,2.65267076,2612.02861 +5541,MN,467,49,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,225 EAST 11 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,LOZYNSKYJ ASKOLD S,2550,6830,4992,1838,0,0,0,0,0,0,2,1,4,7,7,25.5,100,25.5,87,E,3,N,5,1,59426,260903,0,0,1900,0,0, , ,2.68,4,0,4,1,1004670049,0,40,987742,205619,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,260.4015194,2677.267921,201477,12,0,5541,5541,12,2700,28.52666664,33.48666763,4.960000992,29.84170405,1.789841966,358.1004486 +5542,MN,886,60,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,136 EAST 31 STREET,R8B, , , , , , , , , ,N,K4,4,0, ,OCEAN KIT CORP,2074,4625,2913,1712,0,2913,0,0,0,0,2,1,4,2,4,21,98.75,21,40.75, ,3,N,5,1,425700,591300,0,0,1910,1986,0, , ,2.23,4,0,4,1,1008860060,0,72,989585,210373,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,245.5003625,2170.889032,165600,10,0,5542,5542,9,2025,28.17889023,28.8777771,0.698886871,28.25654433,0.219638954,254.3088989 +5543,MN,860,7503,105,74,3000,2,2,10016,L007,14,15,5200,1,5, ,127 MADISON AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,2093,17320,1695,15625,0,1695,0,0,0,0,2,1,13,9,10,23.25,90,23,88, ,3,N,0,5,49860,1149870,0,0,1920,2006,2006, , ,8.28,10,10,10,1,1008607503,1867,74,988598,210871,8d, ,104 017,10306, ,1008600062,5/15/2008,1, , ,17V1.1,7,230.9034007,2290.613122,1100010,10,0,5543,5543,10,2250,37.50888824,37.77444458,0.265556335,37.53544388,0.079666901,375.3544388 +5544,MN,282,7,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,83 HENRY STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,ABACUS 83 LLC,2188,9766,885,8880,0,885,0,0,0,0,2,1,6,22,23,25,87.5,25,73, ,2,N,5,2,81000,928350,0,0,1920,0,0, , ,4.46,3.44,6,6.5,1,1002820007,0,8,986056,199152,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,228.505405,2252.838404,847350,16,0,5544,5544,9,2025,34.88000107,38.83777618,3.957775116,35.75839572,1.643327618,321.8255615 +5545,MN,413,10,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,285 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,LAI WONG LAU,3850,16415,2735,13680,0,2735,0,0,0,0,2,1,6,21,24,44.08,87.5,44,71, ,3,N,5,2,174600,617850,0,0,1900,0,0, , ,4.26,4,4,4,1,1004130010,0,18,986597,200979,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,267.72076,3965.051284,443250,13,0,5545,5545,18,4050,39.72000122,41.79999924,2.079998016,39.83555667,0.476447307,717.04002 +5546,MN,348,8,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,112 SUFFOLK STREET,R7A, , , , , , , , , ,N,C7,4,0,P,112 SUFFOLK ST APARTM,2500,11652,500,11152,0,500,0,0,0,0,2,1,5,15,17,25,100,25,87, ,3,N,5,2,168750,916200,0,0,1920,1988,0, , ,4.66,4,0,4,1,1003480008,0,1402,988154,201149,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,250.9019882,2473.172383,747450,13,0,5546,5546,9,2025,24.76333427,24.76333427,0,24.76333427,0,222.8700085 +5547,MN,835,61,105,76,1001,2,4,10001,L024,14,15,5200,1,5,2B,32 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K1,5,0, ,RNJ NEW YORK HOLDINGS,4443,4219,4219,0,0,4219,0,0,0,0,2,1,1,0,2,45,98.75,45,99,E,3,N,5,2,2655000,7927650,0,0,1978,0,0, , ,0.95,10,15,15,1,1008350061,0,76,987936,212171,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,304.17604,4862.086512,5272650,10,0,5547,5547,21,4725,45.85200119,47.79777908,1.945777893,46.03623399,0.567854406,966.7609138 +5548,MN,279,23,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,24 JAMES STREET,R7-2, , , ,C2-5, , , , , ,N,C1,2,0,P,CDY CORP,3261,11552,0,11552,0,0,0,0,0,0,2,2,5,27,27,25.67,128,26,59, ,2,Y,5,1,135000,786150,0,0,1890,1987,0, , ,3.54,3.44,0,6.5,1,1002790023,0,27,984652,198845,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,306.8153613,3206.860986,651150,16,0,5548,5548,14,3150,16.23777771,18.32111168,2.083333969,16.45516668,0.542215395,230.3723335 +5549,MN,300,15,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,92 HESTER STREET,C6-1G, , , , , , , , , ,N,O5,5,0,P,SUN REALTY-92 HESTER,1757,7028,7028,0,5250,1778,0,0,0,0,2,1,4,2,6,21.17,83.33,21,83, ,3,N,5,2,108000,621900,0,0,1910,2011,0, , ,4,3.44,6,6.5,1,1003000015,0,16,986310,200210,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,215.7494628,1855.167756,513900,13,0,5549,5549,9,2025,39.09000015,39.83777618,0.747776031,39.22790146,0.264868562,353.0511131 +5550,MN,281,10,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,24 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0,P,A& A EXPRESS INC.,1776,6990,1500,5489,0,1500,0,0,0,0,2,1,5,20,23,25.08,71,25,54, ,3,Y,5,2,150750,871200,0,0,1900,1986,0, , ,3.94,3.44,6,6.5,1,1002810010,0,8,985122,199297,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,198.258336,1875.120426,720450,16,0,5550,5550,10,2250,33.92777634,33.92777634,0,33.92777634,0,339.2777634 +5551,MN,609,34,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,108 WEST 14 STREET,C6-2A, , , , , , , , , ,N,S5,4,0,P,"SASSON, CECELIA",2500,7050,2350,4700,0,2350,0,0,0,0,2,1,3,5,6,25,100,25,95, ,2,N,5,5,100497,710910,0,0,1910,1983,2012, , ,2.82,6.02,6,6.5,1,1006090034,0,71,984914,207921,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,256.2394359,2537.859277,610413,8,0,5551,5551,11,2475,25.65555573,25.65555573,0,25.65555573,0,282.211113 +5552,MN,604,7,102,69,1002,2,3,10014,E024,6,15,6400,1,2,2B,176 CHRISTOPHER STREET,C1-6A, , , , , , , , , ,N,S2,4,0, ,WINTERMEYER LOUIS,1368,4200,1092,3108,0,1092,0,0,0,0,2,1,4,2,3,21.5,59.25,21.5,50, ,3,Y,5,0,44782,111955,0,0,1920,0,0, , ,3.07,4,2,4,1,1006040007,0,69,981577,206065,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,0,166.3020824,1404.073457,67173,9,1,5552,5552,5,1125,8.725000381,8.725000381,0,8.725000381,0,43.62500191 +5553,MN,411,41,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,136 LUDLOW STREET,C4-4A, , , , , , , , , ,N,H3,5,0, ,LUDLOW STREET HOSPITA,2003,13000,0,0,0,0,0,0,0,0,2,1,11,0,1,22.5,89,22.5,89, ,3,N,5,2,450900,2252250,0,0,2007,0,0, , ,6.49,4,4,4,1,1004110041,0,3001,987582,201703,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,229.2446915,2125.933328,1801350,13,0,5553,5553,10,2250,30.50799942,30.50799942,0,30.50799942,0,305.0799942 +5554,MN,30,3,101,9,1012,2,1,10004,L015,1,15,7700,1,1,1B,76 PEARL STREET,C5-5, , , , , ,LM, , , ,N,S9,4,0, ,"PEARL ST. HOLDING, LL",1733,8665,3466,5199,0,3466,0,0,0,0,2,1,5,6,8,23.75,72,24,67, ,3,Y,5,2,59274,609004,0,0,1920,0,0, , ,5,10,15,15,1,1000300003,0,9,981384,195656,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,202.130082,1913.404293,549730,17,1,5554,5554,9,2025,7.721999645,9.920000076,2.198000431,7.981184906,0.686759547,71.83066416 +5555,MN,897,8,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,207 EAST 15 STREET,R7B, , , , , , , , , ,N,D3,3,0, ,STUYVESANT GARDENS CO,7486,29133,1095,28038,1095,0,0,0,0,0,2,1,6,59,61,72.5,103.25,73,88, ,3,N,5,2,747000,3599100,0,0,1930,1985,0, , ,3.89,3,0,3,1,1008970008,0,48,988143,206665,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,351.4785045,7492.574401,2852100,5,0,5555,5555,35,7875,27.7444458,30.7733326,3.028886795,27.90831871,0.666768096,976.7911549 +5556,MN,450,18,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,328 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,328 EAST 9TH STREETLI,3431,13282,2288,10994,763,1525,0,0,0,0,2,1,6,22,26,37.5,93.92,37.5,61, ,0,Y,5,2,425700,1603350,0,0,1900,0,0, , ,3.87,4,0,4,1,1004500018,0,38,988061,204704,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,271.5789716,3605.042911,1177650,12,0,5556,5556,17,3825,25.4810009,26.92000008,1.438999176,25.65622947,0.405484733,436.155901 +5557,MN,517,43,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,183 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,131 SULLIVAN MANAGEME,4775,21375,4275,17100,0,4275,0,0,0,0,2,1,5,24,25,50,95.5,49,88, ,3,N,3,2,418500,2500650,0,0,1900,2010,0,Sullivan-Thompson Historic District, ,4.48,3.44,0,6.5,1,1005170043,0,49,983676,203991,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,303.245968,5271.201289,2082150,9,0,5557,5557,23,5175,17.9011116,21.4011116,3.5,18.16739182,0.872450144,417.8500118 +5558,MN,712,46,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,422 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,O3,5,0, ,BRK GARAGE CO,12906,111300,111300,0,111300,0,0,0,0,0,2,1,7,0,2,125,103.25,125,92, ,3,N,5,2,765000,12235500,0,0,1950,1988,2014, , ,8.62,0,5,6.5,1,1007120046,0,83,982480,209617,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,473.4765806,13985.52214,11470500,7,0,5558,5558,62,13950,12.4989996,14.40333366,1.904334068,12.62137419,0.421231258,782.5251999 +5559,MN,282,12,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,93 HENRY STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,TRIPLE A LLC,2500,9580,1972,7608,0,1972,0,0,0,0,2,1,5,13,14,25,100,25,83, ,3,N,5,2,101250,545400,0,0,1920,1986,0, , ,3.83,3.44,6,6.5,1,1002820012,0,8,986180,199172,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,253.5714054,2580.0836,444150,16,0,5559,5559,11,2475,34.88000107,36.36333466,1.483333588,35.09020303,0.467225881,385.9922333 +5560,MN,281,33,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,70 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0,P,EAST CORNER DEVELOPME,793,4590,4590,0,3825,765,0,0,0,0,2,1,6,0,6,22.02,68.01,22,63, ,2,Y,3,2,52200,308502,0,0,2016,2014,0, , ,5.79,3.44,6,6.5,1,1002810033,0,8,985692,199348,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,171.0300972,865.6217699,256302,16,0,5560,5560,5,1125,35.10200119,36.48422241,1.382221222,35.37844543,0.552888489,176.8922272 +5561,MN,746,20,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,331 WEST 22 STREET,R7B, , , , , , , , , ,N,B2,1,0,P,"331 WEST 22ND STREET,",2222,3072,0,3072,0,0,0,0,0,0,2,1,4,2,2,22.5,98.75,23,42, ,3,N,5,2,5271,38277,0,0,1900,2005,0,Chelsea Historic District Extension, ,1.38,3,0,3,1,1007460020,0,93,984178,210852,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,245.8684156,2242.441672,33006,2,0,5561,5561,9,2025,15.97222233,18.82999992,2.857777596,16.65938271,1.078651668,149.9344444 +5562,MN,859,56,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,36 EAST 30 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,ERIC TAUBMAN,2207,7386,7386,0,5586,1800,0,0,0,0,2,1,4,0,1,22.33,98.75,22,90,E,3,N,5,2,315000,849150,0,0,1920,1986,0, , ,3.35,10,10,10,1,1008590056,0,74,988669,210587,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,255.2880039,2433.945625,534150,10,0,5562,5562,12,2700,37.60300064,39.66777802,2.064777374,37.77506542,0.570674319,453.3007851 +5563,MN,395,1,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,195 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,X,LOWER EATS SIDE II AS,4650,27000,2000,25000,0,2000,0,0,0,0,2,1,6,16,18,50,93,50,93, ,3,N,3,2,270000,2031300,270000,2031300,1910,1986,0, , ,5.81,4,0,4,1,1003950001,0,28,990162,204557,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,291.5502215,4801.221882,1761300,12,1,5563,5563,20,4500,10.2122221,12.63000011,2.417778015,10.333111,0.526942502,206.66222 +5564,MN,276,21,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,55 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,OVERSEAS PARTNERSHIPC,1538,8688,1300,7388,0,1300,0,0,0,0,2,1,6,10,12,18,85.42,18,78, ,3,N,3,2,105750,553500,0,0,1920,1983,0, , ,5.65,3.44,0,6.5,1,1002760021,0,8,985768,198558,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,217.3987475,1746.332282,447750,16,0,5564,5564,9,2025,23.59300041,23.59300041,0,23.59300041,0,212.3370037 +5565,MN,435,6,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,126 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,126 FIRST AVENUE LLC,2433,8960,2160,6800,0,2160,0,0,0,0,2,1,5,11,12,24.33,100,24,90,E,3,N,5,2,87750,1786950,0,0,1920,1998,1998, , ,3.68,4,0,4,1,1004350006,0,32,988353,204211,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,252.3966742,2444.930388,1699200,12,0,5565,5565,12,2700,20.24200058,25.95999908,5.717998505,21.18496339,2.08740805,254.2195606 +5566,MN,764,70,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,260 WEST 15 STREET,C1-6A, , , , , , , , , ,N,C1,2,0,P,260 WEST 15 ESTATES L,1550,6300,0,6300,0,0,0,0,0,0,2,1,5,11,11,20,77.5,20,60, ,3,N,5,2,90000,845100,0,0,1901,0,0, , ,4.06,4,2,4,1,1007640070,0,81,983773,208916,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,198.2295689,1616.949871,755100,7,0,5566,5566,8,1800,22.05333328,22.32888985,0.275556564,22.08777785,0.091131768,176.7022228 +5567,MN,531,7502,102,55.02,2000,2,1,10003,L009,9,15,5700,2,2, ,382 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2679,17820,2430,15390,0,2430,0,0,0,0,2,1,9,8,9,0.06,0,0,0, ,0,N,5,5,55802,677552,2360,2360,1900,0,0,NoHo Historic District, ,6.65,0,5,6.5,1,1005317502,641,5502,986005,204412,12c, ,103 009,10207, ,1005310011,9/25/1989,1, , ,17V1.1,7,263.6705179,2929.991057,621750,9,0,5567,5567,12,2700,39.91555405,39.91555405,0,39.91555405,0,478.9866486 +5568,MN,743,5,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,367 WEST 19 STREET,C2-6A, , , , , , , , , ,N,C0,2,0, ,"TAN, DUN",1980,4620,0,3630,0,0,0,0,0,0,2,1,4,3,3,22,90,22,40.33, ,3,N,5,1,52443,148178,0,0,1910,0,0, , ,2.33,4,2,4,1,1007430005,0,89,983529,210353,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,226.7726539,2010.549112,95735,7,0,5568,5568,9,2025,15.57888889,15.57888889,0,15.57888889,0,140.21 +5569,MN,816,1,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,530 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,O5,5,0,P,14TH STREET OWNER LLC,4275,16900,16900,0,8350,8550,0,0,0,0,2,1,4,0,8,57,75,56,70, ,3,N,3,2,585000,3755700,0,0,1920,0,0, , ,3.95,7.52,6,7.5,1,1008160001,0,54,985237,207940,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,278.289388,4769.358952,3170700,7,0,5569,5569,22,4950,28.19599915,28.59444427,0.398445129,28.22569622,0.096371796,620.9653168 +5570,MN,925,51,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,332 EAST 20 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,SLOVAK LUTH HOLY TRIN,3680,7925,7925,0,7925,0,0,0,0,0,2,1,2,0,1,40,92,40,92, ,2,N,5,2,288450,702000,288450,702000,1910,1967,0, , ,2.15,4,0,4,1,1009250051,0,64,989494,207160,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,273.7276729,3884.326916,413550,5,0,5570,5570,17,3825,15.27999973,19.29222107,4.012221336,16.01274474,1.162216883,272.2166605 +5571,MN,480,1,102,41,6003,2,1,10013,E055,5,15,6800,1,2,1A,388 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,178 MULBERRY LLC,1792,14931,1706,13225,0,1706,0,0,0,0,2,1,7,26,29,22.17,80.83,22,85, ,0,Y,3,5,117900,1459800,0,0,1900,1986,0, , ,8.33,6.02,6,6.5,1,1004800001,0,41,985183,201834,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,233.3491947,2665.057772,1341900,0,0,5571,5571,11,2475,33.11000061,33.11000061,0,33.11000061,0,364.2100067 +5572,MN,624,48,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,284 WEST 12 STREET,R6, , , , , , , , , ,N,C7,4,0, ,DUNDALK MANAGEMENT IN,1390,7197,1261,5936,0,1261,0,0,0,0,2,1,4,13,14,27,51.92,28,53, ,2,Y,3,2,499500,1633500,0,0,1920,1968,0,Greenwich Village Historic District, ,5.18,2.43,0,4.8,1,1006240048,0,77,983148,207929,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,181.3730659,1768.678466,1134000,8,0,5572,5572,9,2025,20.58111191,22.43444443,1.85333252,20.97000058,0.729172995,188.7300053 +5573,MN,527,2,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,4 BEDFORD STREET,R7-2,R6, , ,C1-5, , , , , ,Y,B1,1,0, ,ELDRIDGE HOUSE LLC,2134,3520,0,3520,0,0,0,0,0,0,2,1,4,2,2,22,97,22,40, ,3,N,5,0,40828,177206,0,0,1900,2015,0,Greenwich Village Historic District Exte, ,1.65,3.44,0,6.5,1,1005270002,0,67,983366,204839,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,216.3756564,1448.527626,136378,9,0,5573,5573,7,1575,15.38333321,16.92000008,1.53666687,15.78952381,0.645178708,110.5266666 +5574,MN,414,62,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,266 BROOME STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,92 ALLEN LLC,1714,6760,1352,5408,0,1352,0,0,0,0,2,1,5,8,9,22.75,75.33,22,57, ,2,N,3,2,77650,234579,0,0,1900,1987,0, , ,3.94,4,4,4,1,1004140062,0,18,986884,201003,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,200.9014331,1769.388919,156929,13,0,5574,5574,8,1800,37.73199844,40.13022232,2.398223877,38.59780455,1.118575971,308.7824364 +5575,MN,387,33,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,69 AVENUE C,R7A, , , ,C2-5, , , , , ,N,K4,4,0,P,D & K PLAZA INC,2160,3840,2160,1680,0,2160,0,0,0,0,2,1,2,3,4,24,90,24,90, ,0,N,3,5,180000,635400,0,0,2000,0,0, , ,1.78,4,0,4,1,1003870033,0,2601,989776,202649,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,234.7372948,2333.877412,455400,1,1,5575,5575,11,2475,11.63300037,14.04500008,2.411999702,12.04156598,0.688421711,132.4572258 +5576,MN,520,44,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,23 KING STREET,R6, , , , , , , , , ,N,C4,2,0, ,23 KING LLC,1875,7270,0,7270,0,0,0,0,0,0,2,1,5,10,10,25,75,25,67, ,3,N,5,2,143659,386272,0,0,1920,0,0,Charlton-King-Vandam Historic District, ,3.88,2.43,0,4.8,1,1005200044,0,37,983227,204473,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,209.608411,1963.894566,242613,9,0,5576,5576,9,2025,16.76099968,16.76099968,0,16.76099968,0,150.8489971 +5577,MN,397,12,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,157 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,D4,3,0,P,157 EAST 2ND ST HDFC,7788,27500,0,27500,0,0,0,0,0,0,2,1,5,40,40,73.5,105.92,74,92, ,2,N,5,2,495000,1282500,495000,867540,1920,1988,0, , ,3.53,4,0,4,1,1003970012,0,3002,988330,202517,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,365.6998639,8043.807136,787500,1,0,5577,5577,36,8100,19.79400063,23.89888954,4.104888916,20.40221039,1.282598472,734.4795742 +5578,MN,695,7501,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,227 10 AVENUE,C6-3A, , , , , ,WCH, , , ,N,RM,4,0, , ,2469,7005,3840,3165,3840,0,0,0,0,0,2,1,4,2,4,24.69,100,0,0, ,0,N,0,5,147613,826796,26660,26660,1920,0,0, , ,2.84,7.52,6,7.5,1,1006957501,979,99,983073,211848,8b, ,105S003,10301, ,1006950036,11/26/1997,1, ,1,17V1.1,7,257.0412781,2688.320985,679183,2,1,5578,5578,13,2925,9.51099968,10.01611042,0.505110741,9.549854352,0.134596533,124.1481066 +5579,MN,594,7502,102,37,1016,2,3,10013,L008,1,15,6800,1,2, ,20 RENWICK STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2000,6249,1025,5224,0,1025,0,0,0,0,2,1,5,10,11,28.5,70.17,28.5,50.17, ,0,N,0,5,137250,637651,0,0,1890,0,0, , ,3.12,6.02,6,6.5,1,1005947502,1271,37,981946,203367,12a, ,11N 063,10208,E-116,1005940062,4/1/2003,1,1,1,17V1.1,7,198.8013714,2024.674515,500401,0,1,5579,5579,8,1800,9.168000221,9.774222374,0.606222153,9.290333509,0.219800045,74.32266808 +5580,MN,418,37,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,305 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,SIYOUN MAHFAR & ASSOC,3835,18055,2500,15555,0,2500,0,0,0,0,2,1,6,22,24,43.83,87.5,44,85, ,3,N,5,2,256950,2688750,0,0,1900,0,0, , ,4.71,4,4,4,1,1004180037,0,18,986346,201078,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,269.9226893,4007.025627,2431800,13,0,5580,5580,18,4050,37.89666748,41.92666626,4.029998779,38.1205563,0.923117258,686.1700134 +5581,MN,615,82,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,237 WEST 12 STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"BESHARA, ADAM C",665,1803,0,1803,0,0,0,0,0,0,2,1,3,2,2,19,38.33,19,30, ,2,Y,5,2,109850,124652,0,0,1899,2011,0,Greenwich Village Historic District, ,2.71,3.44,2,6.5,1,1006150082,0,77,983635,208073,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,120.8461427,745.1765558,14802,8,0,5581,5581,4,900,21.74111176,21.74111176,0,21.74111176,0,86.96444702 +5582,MN,843,37,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,18 EAST 16 STREET,C6-2A, , , , , , , , , ,N,O6,5,0, ,WINNER REALTY ASSOCIA,6725,44506,44506,0,38206,6300,0,0,0,0,2,1,7,0,14,38,172.5,38,161, ,3,Y,5,2,1066500,5974200,0,0,1907,1979,0,Ladies' Mile Historic District, ,6.62,6.02,6,6.5,1,1008430037,0,52,986518,207642,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,444.3699303,6839.791467,4907700,7,0,5582,5582,31,6975,37.06999969,40.42333221,3.35333252,37.17817171,0.592482537,1152.523323 +5583,MN,608,24,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,128 WEST 13 STREET,R6, , , , , , , , , ,N,D7,4,0, ,VILLAGE VENTURA ASSOC,4544,18570,1000,17570,0,1000,0,0,0,0,2,1,6,42,43,44,103.25,44,88,E,3,N,5,2,675000,2666700,0,0,1910,1967,0,Greenwich Village Historic District, ,4.09,2.43,0,4.8,1,1006080024,0,71,984581,207798,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,303.3059978,4769.273221,1991700,8,0,5583,5583,22,4950,24.04400063,28.29377747,4.24977684,24.2371723,0.885223821,533.2177906 +5584,MN,142,14,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,31 HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,SCOTT ALEXANDER FRANC,971,2079,0,1485,0,0,0,0,0,0,2,1,2,1,1,18.67,52,18.67,33, ,3,N,5,1,42666,90552,1550,1550,1960,0,0, ,31 HARRISON STREET HOUSE (JACOB RUC,2.14,10,10,10,1,1001420014,0,39,981209,201115,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,145.4009232,1069.923987,47886,14,0,5584,5584,5,1125,14.25300026,14.25300026,0,14.25300026,0,71.2650013 +5585,MN,874,54,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,132 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,D4,3,0, ,132 EAST 19TH STREET,3142,17934,0,17934,0,0,0,0,0,0,2,1,7,19,19,30.08,104.67,30.08,89.67, ,3,Y,5,1,232650,2107350,7080,7080,1910,0,0,Gramercy Park Historic District, ,5.71,4,0,4,1,1008740054,0,50,988139,207626,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,279.0524039,3280.869471,1874700,5,0,5585,5585,13,2925,27.68333435,29.55333328,1.869998932,27.82718042,0.498297409,361.7533455 +5586,MN,475,14,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,495 BROOME STREET,M1-5A, , , , , , , , , ,N,S5,4,0, ,SILKALY M. WOLCHOK L.,2675,17546,2500,15046,0,2500,0,0,0,0,2,1,7,6,7,21,85.25,21,85,E,3,Y,5,2,379275,1499030,0,0,1900,1983,2006,SoHo-Cast Iron Historic District, ,6.56,0,5,6.5,1,1004750014,0,47,983441,202665,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,311.2938691,2929.73914,1119760,0,1,5586,5586,13,2925,9.686666489,9.734444618,0.04777813,9.690341729,0.012731407,125.9744425 +5587,MN,569,20,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,28 EAST 12 STREET,C1-7, , , , , , , , , ,N,S9,4,0, ,28 EAST 12TH STREET R,1360,4941,1200,3741,0,1200,0,0,0,0,2,1,4.5,6,8,35.33,40.25,35,40, ,3,Y,5,0,152169,390968,0,0,1900,1986,0, , ,3.63,6.02,2,6.5,1,1005690020,0,61,986151,206664,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,148.0645174,1358.680393,238799,8,0,5587,5587,6,1350,34.37900162,37.89111328,3.512111664,34.96435356,1.308886737,209.7861214 +5588,MN,399,20,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,220 EAST 4 STREET,R8B, , , , , , , , , ,N,W2,8,0,X,ROMAN CATHOLIC CHURCH,9596,40456,40456,0,0,0,0,0,0,40456,2,5,5,0,3,99.5,96.17,24,96, ,3,N,5,5,447750,2528100,447750,2528100,1890,1984,0, , ,4.22,4,0,4,1,1003990020,0,32,988814,202855,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,401.2466206,10062.40521,2080350,1,0,5588,5588,45,10125,18.04222298,21.64444351,3.602220535,18.41982286,0.954519234,828.8920288 +5589,MN,585,50,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,126 CHRISTOPHER STREET,C1-6, , , , , , , , , ,N,C0,2,0, ,"117 BEDFORD, LLC",766,2800,0,2800,0,0,0,0,0,0,2,1,4,3,3,17.08,42.75,16.5,32.75, ,2,Y,3,0,50133,137686,0,0,1901,0,0,Greenwich Village Historic District, ,3.66,3.44,2,6.5,1,1005850050,0,73,982597,206341,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,165.2100395,1242.230178,87553,9,0,5589,5589,6,1350,20.9109993,22.05333328,1.142333984,21.18199984,0.405175002,127.0919991 +5590,MN,223,28,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,452 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0,P,MCCARTHY SEAN,1500,5776,1000,4776,0,1000,0,0,0,0,2,2,4,6,7,25,60,25,59, ,3,N,3,2,69139,169170,0,0,1910,1980,0,Tribeca North Historic District, ,3.85,6.02,6,6.5,1,1002230028,0,39,981539,202808,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,175.9401423,1658.737002,100031,0,1,5590,5590,7,1575,9.881999969,9.975999832,0.093999863,9.895428521,0.0328931,69.26799965 +5591,MN,376,4,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,96 AVENUE C,R7A, , , ,C2-5, , , , , ,N,D6,4,0,P,"SANIKOLAUS, LLC",1881,7390,1000,6390,0,1000,0,0,0,0,2,1,4,6,7,22.67,83,23,67, ,3,N,5,2,4709,137928,0,0,1900,1985,0, , ,3.93,4,0,4,1,1003760004,0,2602,990114,202924,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,218.3785891,1936.501832,133219,12,1,5591,5591,9,2025,7.864444256,8.696444511,0.832000256,7.956888729,0.261472455,71.61199856 +5592,MN,530,29,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,45 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D6,4,0, ,45 GREAT JONES STREET,2700,15758,2500,13258,0,2500,0,0,0,0,2,1,7,5,6,27,100,27,80, ,3,N,5,2,457206,3503554,0,0,2014,0,0,NoHo Historic District Extension, ,5.84,0,5,6.5,1,1005300029,0,5502,986271,203977,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,265.8390487,2890.2605,3046350,9,0,5592,5592,14,3150,43.14099884,43.96266556,0.821666718,43.19968932,0.211611534,604.7956505 +5593,MN,372,3,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,18 AVENUE C,R8A, , , ,C2-5, , , , , ,N,C3,2,0, ,18-22 AVENUE C REALTY,1080,3420,0,3420,0,0,0,0,0,0,2,1,4.5,4,4,20,54,20,38, ,0,N,5,5,54912,343200,0,0,1997,0,0, , ,3.17,6,0,6,1,1003720003,0,2202,989579,202008,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,154.353409,1121.439625,288288,1,0,5593,5593,6,1350,13.80700016,16.12999916,2.322999001,14.19416666,0.865730613,85.16499996 +5594,MN,589,12,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,30 CORNELIA STREET,R6,R7-2, , ,C1-5, , , , , ,Y,C7,4,0,P,ATHENS BUILDING CORP,2393,9485,1150,8335,0,1150,0,0,0,0,2,1,5,18,20,25.83,92.33,26,74, ,3,Y,5,2,232200,1384200,0,0,1940,0,0,Greenwich Village Historic District Exte, ,3.96,2.43,0,4.8,1,1005890012,0,67,983581,205642,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,239.4660355,2313.878088,1152000,9,0,5594,5594,9,2025,17.07900047,20.71999931,3.64099884,19.97999975,1.170554799,179.8199978 +5595,MN,590,18,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,20 JONES STREET,R6, , , , , , , , , ,N,S2,4,0, ,"HIRSCHORN, MICHAEL",2285,2055,600,1455,600,0,0,0,0,0,2,1,3,2,3,42.17,54,21,54, ,3,Y,5,1,54004,163878,0,0,1940,2014,0,Greenwich Village Historic District Exte, ,0.9,2.43,0,4.8,1,1005900018,0,67,983558,205914,12a, ,103 005,10208, ,1005900018,11/26/1997,1, , ,17V1.1,0,152.2419437,1160.916347,109874,9,0,5595,5595,5,1125,17.54000092,19.05333328,1.513332367,18.07728958,0.666778618,90.38644791 +5596,MN,809,5,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,429 7 AVENUE,C6-6, , , , , ,MID, , , ,N,K5,5,0, ,FRANCHISE RLTY INTSTC,2080,5829,5829,0,0,5829,0,0,0,0,2,1,3,0,2,20.67,100,21,100,E,3,N,5,2,1215000,2656800,0,0,1972,1973,0, , ,2.8,10,15,15,1,1008090005,0,101,986856,212697,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,254.1667186,2242.855308,1441800,6,0,5596,5596,10,2250,40.15888977,41.24700165,1.088111877,40.86712303,0.293321425,408.6712303 +5597,MN,861,26,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,29 EAST 31 STREET,C5-2, , , , , , , , , ,N,L8,6,0, ,"TRANEL, INC.",2119,12284,12284,0,0,2000,0,10284,0,0,2,1,6,0,6,21.42,98.75,21,97,E,3,N,5,2,360000,2494800,0,0,1920,0,0, , ,5.8,10,10,10,1,1008610026,0,74,988780,210994,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,255.1650058,2322.797822,2134800,10,0,5597,5597,10,2250,37.62444687,37.62444687,0,37.62444687,0,376.2444687 +5598,MN,830,3,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,818 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,818 820 EQUITY INC,1976,8960,8960,0,6405,2555,0,0,0,0,2,1,5,0,9,49.33,40,49,39, ,3,N,5,2,558000,1513800,0,0,1915,0,0, , ,4.53,10,10,10,1,1008300003,0,76,986975,211115,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,184.3717723,2118.720518,955800,2,0,5598,5598,8,1800,44.50444412,44.93099976,0.426555634,44.71248627,0.177988092,357.6998901 +5599,MN,614,7501,102,77,5002,2,3,10014,Q018,6,15,6100,2,2, ,213 WEST 11 STREET,R6, , , , , , , , , ,N,RM,4,0, ,WAVERLY CONDOMINIUMS,2400,4650,1500,3150,0,1500,0,0,0,0,2,2,3,5,6,40,60,40,40, ,0,N,5,5,39544,632715,7080,7080,1920,1920,0,Greenwich Village Historic District, ,1.94,2.43,0,4.8,1,1006147501,20,77,983736,207635,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,7,211.5082504,2699.770345,593171,8,0,5599,5599,12,2700,25.32666588,25.32666588,0,25.32666588,0,303.9199905 +5600,MN,187,7501,101,39,4003,2,1,10013,E007,1,15,7700,3,1, ,375 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RB,5,0, ,OWNER / AGENT,7542,50240,50240,0,50240,0,0,0,0,0,2,1,8,0,9,150,102,0,0, ,0,N,5,5,948148,7155899,0,0,1956,0,0,Tribeca West Historic District, ,6.66,6.02,6,6.5,1,1001877501,683,39,981503,201449,12a, ,101S037,10105, ,1001870010,2/10/1990,1, , ,17V1.1,7,360.1114765,7983.263226,6207750,14,0,5600,5600,34,7650,15.32888889,17.89999962,2.571110725,17.73401925,0.583531107,602.9566545 +5601,MN,887,1,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,461 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0, ,ROSE HILL PROPERTY AV,4224,54018,54018,0,50018,4000,0,0,0,0,2,1,12,0,16,35.17,100,35.17,100, ,3,Y,3,2,540000,5337450,0,0,1935,0,0, , ,12.79,10,10,10,1,1008870001,0,72,989149,210753,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,364.9902889,4903.566504,4797450,10,0,5601,5601,23,5175,29.31800079,41.97222137,12.65422058,29.96916978,2.602436922,689.290905 +5602,MN,829,7,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,49 WEST 27 STREET,C6-4X,M1-6, , , , , , , , ,Y,O6,5,0,P,"RADIO WAVE, LLC C/O C",9875,83050,83050,0,77050,6000,0,0,0,0,2,1,10,0,22,100,98.75,100,96, ,3,N,5,1,2610000,9197550,0,0,1945,1988,0,Madison Square North Historic District, ,8.41,10,10,10,1,1008290007,0,58,986965,210825,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,404.7949551,10239.86911,6587550,2,0,5602,5602,46,10350,42.75111008,42.75111008,0,42.75111008,0,1966.551064 +5603,MN,248,76,103,6,2004,1,1,10002,E015,7,14,7800,1,3,1B,235 CHERRY STREET,C6-4, , , , , , , , , ,N,K1,5,0, ,TWO BRIDGESET HOUSING,11800,11800,11800,0,0,11800,0,0,0,0,2,1,1,0,2,58.95,176.5,176.5,72.28, ,0,Y,1,5,751500,1631250,0,0,1996,0,0, , ,1,10,10,10,1,1002480076,0,6,986884,198228,12d, ,11N 053,10106, ,1002480015,2/9/1999,1,1,1,17V1.1,0,486.8349973,11923.73158,879750,16,1,5603,5603,53,11925,9.255999565,12.90755558,3.651556015,9.556504861,0.902708025,506.4947577 +5604,MN,877,13,106,68,3001,2,2,10010,E014,13,14,5300,1,6,1B,50 GRAMERCY PARK NORTH,R9A, , , , , , , , , ,N,D4,3,0, ,50 GRAMERCY PARK INVE,7999,65480,0,65480,0,0,0,0,0,0,2,1,17,21,21,81,98.75,81,90, ,3,N,5,2,4770000,9259650,0,0,1924,2005,0, , ,8.19,7.52,0,7.52,1,1008770013,0,68,988113,208379,8d, ,102 045,10307, ,1008770018,9/22/2006,1, , ,17V1.1,0,361.6097612,8074.956229,4489650,5,0,5604,5604,36,8100,26.32111168,31.36444473,5.043333054,26.46120426,0.828798909,952.6033535 +5605,MN,446,7501,103,38,5001,1,2,10003,E028,9,14,6500,3,3, ,125 EAST 4 STREET,R8B, , , , , , , , , ,N,RM,4,0, ,125 EAST 4TH ST OWNER,4784,20743,2950,17793,0,2950,0,0,0,0,2,1,6,28,29,49.75,96.17,0,0, ,0,N,5,5,427500,2117700,25960,25960,2004,0,0, , ,4.34,4,0,4,1,1004467501,695,38,987698,203646,12c, ,102 010,10205, ,1004460038,3/18/1991,1, , ,17V1.1,7,296.8142026,4914.879448,1690200,1,0,5605,5605,21,4725,28.45888901,30.36666679,1.907777786,28.62709,0.520270455,601.16889 +5606,MN,301,10,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,95 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,99 CANAL REALTY INC.,2512,7875,7875,0,5375,2500,0,0,0,0,2,2,0,0,7,49.81,50.17,49.81,50, ,3,Y,5,0,146250,1245150,0,0,1900,0,0, , ,3.13,3.44,6,6.5,1,1003010010,0,16,985988,200001,12c,Y,101N050,10107, ,1003010001,5/14/2012,1, , ,17V1.1,0,206.6466494,2667.17277,1098900,13,0,5606,5606,12,2700,41.60800171,43.36177826,1.75377655,41.75414975,0.484718232,501.0497971 +5607,MN,301,30,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,39 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,39 41 ELDRIDGE ST RLT,5012,23027,23027,0,4600,18427,0,0,0,0,2,1,5,0,5,49.92,100.25,50,100,E,2,Y,5,2,315900,1877850,0,0,1900,2012,0, , ,4.59,3.44,6,6.5,1,1003010030,0,16,986053,200030,12c,Y,101N050,10107, ,0, ,1, , ,17V1.1,0,299.3922383,4969.301535,1561950,13,0,5607,5607,22,4950,41.04499817,43.28333282,2.238334656,41.65714281,0.400511775,916.4571419 +5608,MN,282,7501,103,8,6002,2,1,10002,E009,5,14,7800,1,3, ,98 EAST BROADWAY,C6-1G, , , , , , , , , ,N,RC,5,0, , ,3284,22236,22236,0,17130,5106,0,0,0,0,2,1,7,0,9,24.94,131.52,0,0, ,0,N,0,5,295652,3249452,0,0,2008,0,0, , ,6.77,3.44,6,6.5,1,1002827501,2089,8,986076,199433,12d, ,101N054,10107, ,1002820056,6/29/2010,1, , ,17V1.1,7,325.0557601,3468.398935,2953800,16,0,5608,5608,15,3375,37.20222092,39.17444611,1.972225189,37.45029526,0.633780981,561.7544289 +5609,MN,3,1,101,319,1000,2,1,10004,L015,1,15,9000,1,1, ,10 BATTERY PARK,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,945425,945425,945425,0,0,0,0,0,0,945425,2,6,1,0,4,323,1260,89,57, ,1,Y,1,0,127100700,133555050,127100700,133555050,1951,0,0, ,CASTLE CLINTON,1,0,0,0,1,1000030001,0,319,979916,195328,12b, ,101S087,10101, ,0, ,1,1,1,17V1.1,0,5915.526456,921410.1276,6454350,17,1,5609,5609,3965,892125,0,16.0233345,16.0233345,10.26213412,2.130460286,40689.36177 +5610,MN,694,17,104,99,1035,2,3,10011,E003,10,15,5500,1,4,1B,527 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,D5,3,0,X,FLEMISTER HOUSING DEV,7380,33535,0,33535,0,0,0,0,0,0,2,1,5,50,50,75,98.75,75,98.75, ,3,N,5,0,332100,1724400,332100,1724400,1926,1995,0, , ,4.54,0,5,6.5,1,1006940017,0,99,982615,211718,8b, ,105S003,10301, ,1006940017,12/5/1994,1,1,1,17V1.1,0,360.9447033,7939.819682,1392300,2,1,5610,5610,34,7650,6.936999798,6.936999798,0,6.936999798,0,235.8579931 +5611,MN,552,7503,102,65,1001,2,1,10012,L009,6,15,5700,2,2, ,135 WEST 4 STREET,R7-2, , , , , , , , , ,N,R1,2,0, , ,6067,18400,0,18400,0,0,0,0,0,0,2,1,6,8,8,63,96.3,62,96, ,0,N,0,5,276833,1872662,0,0,1860,0,0,Greenwich Village Historic District, ,3.03,3.44,0,6.5,1,1005527503,1546,65,984259,205771,12c, ,103 018,10207, ,1005520030,5/18/2006,1, , ,17V1.1,7,333.1319506,6718.175375,1595830,9,0,5611,5611,31,6975,17.50333405,17.50333405,0,17.50333405,0,542.6033554 +5612,MN,746,14,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,343 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,TURNER DAVID,2222,4139,0,4139,0,0,0,0,0,0,2,1,4,9,9,22.5,98.75,22,52,E,2,N,5,1,79999,373386,0,0,1920,0,0,Chelsea Historic District Extension, ,1.86,3,0,3,1,1007460014,0,93,984073,210910,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,249.5840717,2431.89013,293387,2,0,5612,5612,10,2250,15.97222233,18.29999924,2.327776909,16.26077785,0.699787047,162.6077785 +5613,MN,792,7502,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,138 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,3880,34581,7063,27518,0,7063,0,0,0,0,2,1,10,8,9,42.17,92,0,0, ,0,N,5,5,182818,2442734,153092,661175,1968,1985,0, , ,8.91,6.02,6,6.5,1,1007927502,190,81,984976,208822,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,7,273.0045291,3953.652526,2259920,7,0,5613,5613,18,4050,27.66555595,29.21444511,1.54888916,27.75160535,0.354790756,499.5288963 +5614,MN,641,47,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,78 JANE STREET,R6, , , , , , , , , ,N,A4,1,0,P,KATHARINE EMMA MCCAGG,1100,2340,0,1755,0,0,0,0,0,0,2,1,3,1,1,13.75,80,13.75,50, ,3,N,5,1,30289,117525,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.13,2.43,0,4.8,1,1006410047,0,79,982287,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,194.569008,1209.123685,87236,8,0,5614,5614,3,675,12.27999973,13.16333294,0.883333206,12.57444414,0.416407267,37.72333241 +5615,MN,527,94,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,26 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,26 BEDFORD ST OWNERS,1750,7000,0,7000,0,0,0,0,0,0,2,1,4,16,16,25,70,24,70, ,2,N,3,2,90450,1027350,44315,44315,1900,0,0,Greenwich Village Historic District Exte, ,4,2.43,0,4.8,1,1005270094,0,67,983242,205057,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,199.3591802,1943.138987,936900,9,0,5615,5615,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +5616,MN,22,17,101,9,1002,2,1,10004,L015,1,15,7700,1,1, ,32 BROADWAY,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,"32-42 BROADWAY OWNER,",9372,143000,143000,0,134940,8060,0,0,0,0,2,1,18,0,51,53.25,206.2,53,207, ,3,Y,4,2,3375000,8790750,0,0,1898,1966,0, , ,15.26,10,15,15,1,1000220017,0,9,980716,196417,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,525.8613484,10427.58023,5415750,17,0,5616,5616,45,10125,16.9260006,28.76111031,11.83510971,17.68170916,2.727831395,795.6769123 +5617,MN,441,2,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4B,220 1 AVENUE,C1-7A, , , , , , , , , ,N,C7,4,0, ,220 FIRST AVENUE REAL,1683,6783,2958,3825,0,2958,0,0,0,0,2,1,5,12,13,25.5,66,26,66, ,3,N,5,2,172800,1107000,0,0,1900,1980,0, , ,4.03,6.02,2,6.5,1,1004410002,0,34,989045,205496,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,188.5423809,1773.966004,934200,12,0,5617,5617,8,1800,17.51499939,20.83555603,3.320556641,18.1586802,1.175602749,145.2694416 +5618,MN,696,58,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,550 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,G1,10,0,P,550 WEST 25TH ST. ASS,17281,34562,34562,0,0,0,34562,0,0,0,2,1,2,0,1,175,98.75,175,98.75, ,0,N,5,5,1166400,2464650,0,0,1910,0,0, , ,2,0,5,6.5,1,1006960058,0,99,982735,212400,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,547.994538,17429.86474,1298250,2,1,5618,5618,78,17550,8.569999695,8.658222198,0.088222504,8.630899723,0.012506001,673.2101784 +5619,MN,925,33,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,359 EAST 19 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,359 EAST 19 LLC,1840,6380,300,6080,0,300,0,0,0,0,2,2,5,11,12,20,92,20,43, ,2,N,5,0,77400,658800,0,0,1900,2011,0, , ,3.47,4,2,4,1,1009250033,0,64,989615,206984,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.9079353,1889.019055,581400,5,0,5619,5619,8,1800,15.27999973,17.03666687,1.756667137,15.49958313,0.580963048,123.996665 +5620,MN,92,28,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,122 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,S3,4,0, ,122 NASSAU COMMONS LL,1390,4668,1384,3284,0,1384,0,0,0,0,2,1,4,3,4,18.75,79.25,19,79, 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,17V1.1,0,251.4836327,2516.762595,1172600,0,0,5648,5648,11,2475,24.0720005,26.19333458,2.121334076,24.26484906,0.609840669,266.9133396 +5649,MN,196,31,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3A,72 WALKER STREET,M1-5, , , , , , , , , ,N,F1,6,0, ,HARDOT LLC,6060,30000,30000,0,0,6000,0,0,24000,0,2,1,5,0,6,75,80.83,75,81, ,3,Y,3,2,409050,762750,0,0,1912,1989,0,Tribeca East Historic District, ,4.95,0,5,6.5,1,1001960031,0,31,983737,201052,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,317.4981147,6264.2234,353700,14,0,5649,5649,29,6525,11.84555531,12.38955593,0.544000626,11.86431395,0.099261405,344.0651045 +5650,MN,591,22,102,73,4005,2,3,10014,E024,6,15,6400,1,2,1B,74 GROVE STREET,C4-5, , , , , , , , , ,N,K4,4,0,P,J P MORGAN CHASE,3900,15296,12296,3000,12296,0,0,0,0,0,2,1,3.5,3,4,34.75,92.42,34.75,92.42, ,3,Y,3,2,513000,2248650,0,0,1920,1994,0,Greenwich Village Historic District, ,3.92,3.44,3.4,6.5,1,1005910022,0,73,983531,206380,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,273.0258626,3995.67019,1735650,9,0,5650,5650,18,4050,22.08799934,23.02666664,0.938667297,22.81464248,0.180996049,410.6635647 +5651,MN,877,74,106,68,3001,2,2,10010,E014,13,14,5300,1,6,1B,4 LEXINGTON AVENUE,R9A, , , , , , , , , ,N,D4,3,0,P,GRAMERCY TOWERS OWNER,12850,120300,2500,117800,2500,0,0,0,0,0,2,2,15,166,167,66,155,64,148, ,3,Y,3,2,1561500,12917700,76750,76750,1931,1987,0, ,RUSSELL SAGE FOUNDATION BUILDING AN,9.36,7.52,0,7.52,1,1008770074,0,68,988205,208461,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,525.2440924,13730.94686,11356200,11,0,5651,5651,61,13725,26.32111168,28.36111069,2.039999008,26.42373454,0.377609838,1611.847807 +5652,MN,718,7501,104,89,4001,2,3,10011,E003,10,15,5600,1,4, ,177 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,RM,4,0, ,CHELSEA WEST 21ST STR,23765,146020,32938,113082,0,7471,9981,0,0,15486,2,1,7,54,56,184,160.83,184,180, ,1,Y,3,5,5333400,23162641,458672,10280690,2008,0,0,Chelsea Historic District, ,6.14,3,0,3,1,1007187501,2067,89,983450,210697,8b, ,103 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,17V1.1,7,266.0299897,4251.457476,4824000,2,0,5654,5654,19,4275,23.38899994,34.66222382,11.27322388,24.75707596,3.417940544,470.3844433 +5655,MN,771,6,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,228 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,224 EIGHTH AVENUE COR,3925,15226,3000,12226,0,3000,0,0,0,0,2,1,6,22,23,40.42,100,40,85, ,3,Y,5,2,310050,2079450,0,0,1920,0,0, , ,3.88,4,2,4,1,1007710006,0,87,984572,210431,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,285.1704077,3975.066741,1769400,7,0,5655,5655,18,4050,21.99111176,21.99111176,0,21.99111176,0,395.8400116 +5656,MN,583,24,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,40 MORTON STREET,R6,C2-6, , , , , , , , ,Y,C4,2,0, ,"SKYJAM HOLDING, LLC",2388,9555,0,9555,0,0,0,0,0,0,2,1,5,15,15,24.75,96.5,25,84, ,3,N,5,2,196650,1165050,0,0,1900,2014,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1005830024,0,67,982825,205470,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,247.7648097,2457.950237,968400,9,0,5656,5656,12,2700,15.38333321,17.6744442,2.291110992,15.77920357,0.730370788,189.3504429 +5657,MN,848,7504,105,52,1001,2,2,10003,E014,13,15,5700,1,5, ,40 EAST 20 STREET,M1-5M, , , , , , , , , ,N,RM,4,0, , ,2300,14144,3541,10603,0,3541,0,0,0,0,2,1,7,5,6,25,92,25,88,E,3,N,0,5,134152,1140742,0,0,1925,1985,0,Ladies' Mile Historic District, ,6.15,0,5,6.5,1,1008487504,1868,52,987406,208317,8d, ,102 044,10306, ,1008480049,4/18/2008,1, , ,17V1.1,7,243.9500205,2449.43407,1006590,5,0,5657,5657,11,2475,35.19100189,35.19100189,0,35.19100189,0,387.1010208 +5658,MN,849,7501,105,52,1000,2,2,10003,E014,13,15,5700,1,5, ,39 EAST 20 STREET,M1-5M, , , , , , , , , ,N,RC,5,0,P,3920 PARKS CORP,2300,22805,22805,0,18554,2534,0,0,0,1717,2,1,11,0,11,0.05,0,25,92, ,3,N,5,5,464403,3168621,0,0,1907,0,0,Ladies' Mile Historic District, ,9.92,0,5,6.5,1,1008497501,194,52,987412,208481,8d, ,102 044,10306, ,1008490028,4/10/1985,1, , ,17V1.1,7,243.7276429,2425.902812,2704220,5,0,5658,5658,12,2700,34.69888687,37.5379982,2.839111328,34.93547948,0.784688918,419.2257538 +5659,MN,630,39,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,687 GREENWICH STREET,R6, , , , , , , , , ,N,A9,1,0, ,ANDREW MEROLA AND CHR,720,2440,0,1820,0,0,0,0,0,0,2,1,3,1,1,31,21,31,20, ,2,Y,5,1,48925,151372,0,0,1989,0,0,Greenwich Village Historic District, ,3.39,2.43,0,4.8,1,1006300039,0,75,982246,206482,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,107.7875855,668.8004272,102447,9,0,5659,5659,3,675,18.16222191,18.88222122,0.719999313,18.40222168,0.339410931,55.20666504 +5660,MN,389,46,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,629 EAST 6 STREET,R8B, , , , , , , , , ,N,S4,4,0,P,MADURAI CORP,2271,6985,1000,5985,0,1000,0,0,0,0,2,1,5,4,5,25,90.83,25,55, ,3,N,5,5,2056,14041,0,0,1900,0,0, , ,3.08,4,0,4,1,1003890046,0,2602,989779,203071,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,241.000163,2384.20304,11985,12,1,5660,5660,11,2475,7.943333149,9.930000305,1.986667156,9.24066652,0.489634007,101.6473317 +5661,MN,418,51,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,286 GRAND STREET,C4-4A, , , , , , , , , ,N,O5,5,0, ,ROMAN GRAND LLC,1461,3026,3026,0,1530,1496,0,0,0,0,2,1,2.5,0,3,16.67,87.67,17,88,E,3,N,5,2,157500,391950,0,0,1900,0,0, , ,2.07,4,4,4,1,1004180051,0,18,986380,200833,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,211.6418812,1495.976101,234450,13,0,5661,5661,6,1350,37.89666748,37.89666748,0,37.89666748,0,227.3800049 +5662,MN,606,38,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,146 WEST 11 STREET,C1-6,R6, , , , , , , , ,Y,B3,1,0,P,THE 146 W. 11TH CORPO,1073,1890,0,1890,0,0,0,0,0,0,2,1,3,2,2,18.75,57.25,18.75,35, ,2,N,5,2,39783,136857,0,0,1899,0,0,Greenwich Village Historic District, ,1.76,3.44,2,6.5,1,1006060038,0,71,984188,207431,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,156.7922092,1124.47392,97074,8,0,5662,5662,4,900,22.88899994,23.4260006,0.537000656,23.0232501,0.232528105,92.09300041 +5663,MN,429,17,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,109 EAST 2 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,EAST SECOND REALTY,2648,8924,1785,7139,0,1785,0,0,0,0,2,1,5,9,10,25,105.92,25,66, ,3,N,5,2,129110,446869,0,0,1900,0,0, , ,3.37,4,0,4,1,1004290017,0,3002,987761,202832,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,267.8277599,2772.810733,317759,1,0,5663,5663,13,2925,28.19499969,29.74777794,1.552778244,28.66508513,0.618186944,372.6461067 +5664,MN,553,17,102,63,5001,2,1,10011,E033,6,15,5700,1,2,3A,48 WEST 8 STREET,C4-5,R6, , , , ,LC, , , ,Y,C7,4,0, ,RETURN TO HOME LLC,7037,20443,4087,16356,0,4087,0,0,0,0,2,3,5,40,44,48.25,142,24,140, ,3,N,5,2,1377000,2432250,0,0,1930,0,0,Greenwich Village Historic District, ,2.91,3.44,3.4,6.5,1,1005530017,0,63,984575,206320,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,391.3511159,7298.460671,1055250,8,0,5664,5664,32,7200,17.50333405,20.23777771,2.734443665,17.58878541,0.475773062,562.8411331 +5665,MN,698,56,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,534 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,J5,5,0, ,27TH STREET PROPERTY,1918,11583,11583,0,0,0,0,0,0,11583,2,1,6,0,5,19.42,98.75,19.42,98.75, ,3,Y,5,0,172800,1843650,0,0,1920,2004,0, , ,6.04,0,5,6.5,1,1006980056,0,99,983153,212758,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,240.3812175,1955.323168,1670850,2,1,5665,5665,8,1800,9.857999802,9.857999802,0,9.857999802,0,78.86399841 +5666,MN,921,60,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,306 EAST 15 STREET,R8A,C1-6A, , , , ,TA, , , ,Y,C4,2,0,P,STUYVESANT SQUARE BRO,2832,6548,1100,5448,1100,0,0,0,0,0,2,1,4,7,8,22.08,128.25,22,78,E,3,N,5,1,81842,404851,0,0,1910,0,0,Stuyvesant Square Historic District, ,2.31,6,0,6,1,1009210060,0,48,988635,206194,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,306.4594933,2836.120305,323009,5,0,5666,5666,13,2925,21.21777725,26.38333321,5.165555954,22.37775172,1.844571776,290.9107723 +5667,MN,429,28,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,135 EAST 2 STREET,R8B,R7A, , , , , , , , ,Y,B9,1,0, ,"GREENFIELD-SANDERS, K",3010,4200,0,4200,0,0,0,0,0,0,2,1,5,2,2,28.42,105.92,20,42, ,2,N,5,2,25815,96768,0,0,1899,0,0, , ,1.4,4,0,4,1,1004290028,0,3002,987980,202712,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,272.168647,2684.966775,70953,1,0,5667,5667,12,2700,25.1779995,29.15444374,3.976444244,26.56259219,1.599327684,318.7511063 +5668,MN,924,26,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,343 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0,P,JL 343 LLC,1840,5000,0,4000,0,0,0,0,0,0,2,1,3,2,2,20,92,20,50,E,3,N,5,1,94782,188901,0,0,1901,2005,2005, , ,2.72,3,0,3,1,1009240026,0,48,989427,206809,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.1520957,1845.104021,94119,5,0,5668,5668,8,1800,14.83555603,15.91555595,1.079999924,15.16375041,0.448109435,121.3100033 +5669,MN,436,30,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,135 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,D9,3,0, ,PETER HERRICK,9068,27781,6356,21425,800,5556,0,0,0,0,2,3,5,31,34,80.25,113,80,57, ,3,N,5,2,282150,2613150,0,0,1928,0,0, , ,3.06,4,0,4,1,1004360030,0,32,988926,204195,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,400.4491087,9765.326259,2331000,12,0,5669,5669,43,9675,17.84799957,20.47222137,2.624221802,18.50179291,0.972621454,795.577095 +5670,MN,454,56,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,329 EAST 12 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,329 EAST 12TH STREET,2839,13374,0,13374,0,0,0,0,0,0,2,1,6,24,24,27.5,103.25,28,86, ,3,N,5,2,224550,998550,0,0,1900,0,0, , ,4.71,4,0,4,1,1004540056,0,40,988553,205477,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,268.5833704,2915.689172,774000,12,0,5670,5670,13,2925,22.37666702,22.37666702,0,22.37666702,0,290.8966713 +5671,MN,527,10,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,32 DOWNING STREET,R6, , , , , , , , , ,N,D4,3,0, ,32 DOWNING OWNERS COR,2160,10000,0,10000,0,0,0,0,0,0,2,2,5,20,20,40,54,40,50, ,2,N,3,2,110700,1517850,4720,4720,1910,1986,0,Greenwich Village Historic District Exte, ,4.63,2.43,0,4.8,1,1005270010,0,67,983294,204977,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,197.093532,2368.36647,1407150,9,0,5671,5671,10,2250,15.38333321,15.38333321,0,15.38333321,0,153.8333321 +5672,MN,820,38,105,54,1003,2,3,10011,E014,13,15,5700,1,5,1O,130 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,ROC-FIFTH AVENUE ASSO,10975,120000,120000,0,104140,10000,0,5860,0,0,2,1,11,0,11,78.83,135,79,135, ,0,Y,3,2,3960000,19418850,0,0,1904,1983,0,Ladies' Mile Historic District, ,10.93,10,10,10,1,1008200038,0,54,986454,208448,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,480.7276782,12313.43197,15458900,7,0,5672,5672,55,12375,35.79800034,35.79800034,0,35.79800034,0,1968.890018 +5673,MN,635,33,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,105 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,FENJA LLC,1740,4320,0,4320,0,0,0,0,0,0,2,1,3,6,6,20,88.5,20,88,E,2,Y,5,5,112847,338839,0,0,1905,0,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1006350033,0,79,982299,207625,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,218.4185842,1725.725073,225992,8,0,5673,5673,8,1800,13.34599972,13.34599972,0,13.34599972,0,106.7679977 +5674,MN,633,45,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,747 GREENWICH STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,"PLOTKIN, ROBERT I",1370,1680,0,1680,0,0,0,0,0,0,2,1,3,4,4,18.92,35.92,19,27, ,3,Y,5,5,114987,192875,0,0,1905,0,0,Greenwich Village Historic District, ,1.23,3.44,2,6.5,1,1006330045,0,75,982397,207247,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,230.3455509,1351.714874,77888,9,0,5674,5674,7,1575,19.46666718,22.56666756,3.100000381,20.54317502,1.300152125,143.8022251 +5675,MN,526,7501,102,65,3003,2,3,10012,L009,6,15,5700,2,2, ,178 SULLIVAN STREET,R7-2, , , , , , , , , ,N,R6,2,0, , ,2260,3656,0,3656,0,0,0,0,0,0,2,1,4,2,2,22.58,100.12,0,0, ,0,N,0,5,74721,210740,1550,1550,1889,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.62,3.44,0,6.5,1,1005267501,948,65,983931,204625,12a,Y,103 007,10206, ,1005260070,12/24/1996,1, , ,17V1.1,7,253.0274813,2444.580191,136019,9,0,5675,5675,11,2475,23.22699928,24.39333344,1.166334152,23.44883797,0.327386252,257.9372177 +5676,MN,796,22,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,127 WEST 20 STREET,C6-3A, , , , , , , , , ,N,S2,4,0, ,"127 WEST 20TH STREET,",2100,4660,2000,2660,0,2000,0,0,0,0,2,1,3,2,3,22.83,92,22.83,92, ,0,N,5,5,53982,100960,0,0,1910,2003,0, , ,2.22,7.52,6,7.5,1,1007960022,0,87,985569,209503,8d, ,103 030,10305, ,1007960036,12/9/1985,1, , ,17V1.1,0,234.0858384,2128.627034,46978,7,0,5676,5676,9,2025,28.3488884,28.3488884,0,28.3488884,0,255.1399956 +5677,MN,470,29,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,212 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,D9,3,0,P,MADRIGAL REALTY CORP,2342,14221,500,13721,0,500,0,0,0,0,2,1,7,15,16,23.5,99.58,24,88, ,3,N,5,2,184050,1368000,0,0,1920,0,0, , ,6.07,6.02,6,6.5,1,1004700029,0,41,985347,201280,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,259.3271055,2559.850585,1183950,0,0,5677,5677,11,2475,28.80888939,28.80888939,0,28.80888939,0,316.8977833 +5678,MN,66,1,101,15.02,1007,2,1,10045,E004,1,15,7700,1,1, ,19 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,O3,5,0, ,FED RESERVE BK NY,49440,640000,640000,0,640000,0,0,0,0,0,2,1,14,0,0,408.08,164.75,408,165, ,0,Y,3,2,15300000,47061900,0,0,1922,0,0, ,FEDERAL RESERVE BANK OF NEW YORK,12.94,10,15,15,1,1000660001,0,1502,981843,197363,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,1079.702239,49292.7211,31761900,4,0,5678,5678,219,49275,14.51777744,25.99666595,11.47888851,15.65735413,1.302421002,3428.960554 +5679,MN,769,45,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,210 WEST 20 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,"MOLLE, ROBERT",2075,3672,0,2772,0,0,0,0,0,0,2,1,3,3,3,25,83.25,25,36, ,2,Y,5,1,62835,149464,1550,1550,1899,0,0, , ,1.77,4,0,4,1,1007690045,0,87,984854,209735,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,227.8830086,2314.233611,86629,7,0,5679,5679,10,2250,21.88888931,28.37888908,6.489999771,23.84400024,2.631985577,238.4400024 +5680,MN,95,101,101,15.01,3010,2,1,10038,E006,1,15,7700,1,1,1B,206 WATER STREET,C6-2A, , , , , ,LM, , , ,N,Z9, ,0,C,HOUSING PRESERVATION,5361,5361,5361,0,0,0,0,0,0,5361,2,1,0,0,0,133.17,65,0,0, ,0,Y,3,5,482400,609750,482400,609750,0,0,0,South Street Seaport Historic District, ,1,6.02,6,6.5,1,1000950101,0,1501,983233,197047,12b, ,101S008,10103, ,0, ,1,1,1,17V1.1,0,371.381313,5623.787829,127350,4,1,5680,5680,23,5175,6.415555477,9.925555229,3.509999752,7.352801986,0.864148683,169.1144457 +5681,MN,497,15,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,558 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,BROADWAY 558 REALTY A,7987,22916,22916,0,0,15216,0,0,0,7700,2,1,2,0,1,27,199.5,27,200, ,3,Y,4,2,1800000,12075300,0,0,1920,1988,2010,SoHo-Cast Iron Historic District, ,2.87,0,5,6.5,1,1004970015,0,43,984953,202900,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,523.3721519,8422.674439,10275300,0,0,5681,5681,39,8775,31.61100006,37.06666565,5.455665588,31.87912545,1.154398234,1243.285892 +5682,MN,355,45,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,182 NORFOLK STREET,R7A, , , , , , , , , ,N,C0,2,0, ,JACQUELINE FISCHLER 2,2558,4125,0,4125,0,0,0,0,0,0,2,1,3,3,3,25.58,100,25.64,55, ,1,N,5,2,31973,102416,0,0,2004,0,0, , ,1.61,4,0,4,1,1003550045,0,3001,988249,202078,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,256.6972604,2661.044141,70443,1,0,5682,5682,11,2475,23.94333458,28.4422226,4.498888016,24.3523244,1.29333937,267.8755684 +5683,MN,877,84,106,68,3001,2,2,10010,E014,13,14,5300,1,6,1B,102 EAST 22 STREET,R9A,C6-4A, , , , , , , , ,Y,D4,3,0, ,GRAMERCY ARMS CORP,13239,71151,3200,67951,1200,2000,0,0,0,0,2,1,10,92,94,100,98.75,100,82, ,3,Y,5,2,1251000,7760700,161533,161533,1928,1986,0, , ,5.37,7.52,0,7.52,1,1008770084,0,68,988004,208554,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,403.7068089,10057.73552,6509700,11,0,5683,5683,44,9900,26.32111168,30.50222206,4.181110382,26.58114191,0.867697908,1169.570244 +5684,MN,435,42,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,121 EAST 7 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,ST MARY AMER ORTH GR,2145,4579,4579,0,0,0,0,0,0,4579,2,1,3,1,2,22,97.5,22,85, ,3,N,5,2,141300,279000,141300,279000,1900,0,0,East Village/Lower East Side Historic Di, ,2.13,4,0,4,1,1004350042,0,32,988631,203985,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,247.3007198,2236.309027,137700,12,0,5684,5684,10,2250,18.46888924,19.34000015,0.871110916,18.55600033,0.261333275,185.5600033 +5685,MN,271,61,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,146 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,YUENS REALTY CORP,1599,6037,600,5437,0,600,0,0,0,0,2,1,4,8,9,20.5,78,20,78,E,3,N,3,2,58681,284731,0,0,1900,0,0, , ,3.78,3.44,0,6.5,1,1002710061,0,6,987032,199116,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,206.2017975,1790.099301,226050,16,0,5685,5685,8,1800,22.67499924,26.86999893,4.194999695,23.71347165,1.798804429,189.7077732 +5686,MN,415,32,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,127 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,125-127 ALLEN ST ASSO,2204,10254,750,9504,0,750,0,0,0,0,2,1,6,24,25,25,88.17,25,76, ,3,N,5,1,247500,883350,0,0,1910,1961,0, , ,4.65,4,4,4,1,1004150032,0,18,986908,201591,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,228.9986809,2227.902322,635850,13,0,5686,5686,11,2475,37.10666656,39.83333206,2.726665497,37.64515131,0.936670607,414.0966644 +5687,MN,743,2,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,150 9 AVENUE,C2-6A, , , , , , , , , ,N,S9,4,0, ,"MUNICH PRODUCTIONS,IN",1360,4424,1106,3318,0,1106,0,0,0,0,2,1,4,3,5,22.08,62,22,49, ,3,N,5,5,236275,548193,0,0,1910,1980,0,Chelsea Historic District, ,3.25,4,2,4,1,1007430002,0,89,983488,210367,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,171.521269,1421.030523,311918,7,0,5687,5687,7,1575,15.57888889,15.57888889,0,15.57888889,0,109.0522223 +5688,MN,133,7503,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,49 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,49 MURRAY HOUSE CONDO,2558,9131,3886,5245,0,0,0,281,0,3605,2,1,5,3,5,25.5,100.17,0,0, ,0,N,0,5,47297,466348,2360,2360,1930,0,0,Tribeca South Historic District Extensio, ,3.57,6.02,6,6.5,1,1001337503,1024,21,981662,199506,12b, ,11S 017,10104, ,1001330009,12/18/1998,1, , ,17V1.1,7,257.7327533,2613.715379,419051,3,0,5688,5688,12,2700,25.60300064,25.60300064,0,25.60300064,0,307.2360077 +5689,MN,753,19,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,333 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,CHELSEA HOUSE LLC,2172,4400,0,4400,0,0,0,0,0,0,2,1,4,29,29,22,98.75,22,48, ,3,N,5,1,118350,776700,0,0,1930,0,0,Lamartine Place Historic District, ,2.03,4,0,4,1,1007530019,0,97,985041,212480,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,247.4734972,2141.716873,658350,6,0,5689,5689,10,2250,28.20800018,34.00777817,5.799777985,31.02886677,2.261476828,310.2886677 +5690,MN,885,86,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,104 EAST 30 STREET,C6-4A, , , , , , , , , ,N,S5,4,0, ,MUNSHI BISHAN SINGH K,1580,5875,2575,3300,2575,0,0,0,0,0,2,1,4,6,7,20,79,20,54, ,3,N,5,2,76946,522674,0,0,1920,1986,0, , ,3.72,10,10,10,1,1008850086,0,72,988999,210414,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,202.1932447,1610.085732,445728,10,0,5690,5690,7,1575,32.84000015,39.80333328,6.96333313,33.83476203,2.436659011,236.8433342 +5691,MN,614,49,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,247 WAVERLY PLACE,R6,C1-6, , , , , , , , ,Y,B1,1,0, ,DATESH BARBARA H,1100,2944,0,2208,0,0,0,0,0,0,2,1,2.5,2,2,16.67,66,16.67,46, ,2,N,5,1,58855,139345,0,0,1899,0,0,Greenwich Village Historic District, ,2.68,2.43,0,4.8,1,1006140049,0,77,983729,207729,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,172.541908,1222.250085,80490,8,0,5691,5691,5,1125,25.32666588,25.94966698,0.623001099,25.53504372,0.263245507,127.6752186 +5692,MN,308,22,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,51 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,CHANG QING LLC,2215,9478,1800,7678,0,1800,0,0,0,0,2,2,5,12,15,25.17,88.08,25,88,E,3,N,4,2,150750,775350,0,0,1910,0,0, , ,4.28,6.02,6,6.5,1,1003080022,0,16,986663,200342,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,228.6470767,2171.008252,624600,13,0,5692,5692,10,2250,36.62400055,39.9097786,3.285778046,36.95257835,0.985733414,369.5257835 +5693,MN,111,100,103,25,3000,2,1,10038,E009,5,14,7800,1,3,1A,20 MADISON STREET,R7-2, , , ,C1-5, , , , , ,N,D6,4,0,O,NYC CITY HSG AUTRHORI,781000,1264820,14000,1250820,0,14000,0,0,0,0,2,13,17,1934,1947,689,978,121,167, ,1,Y,1,0,29880450,67293000,29880450,67293000,1950,1988,0, , ,1.62,3.44,0,6.5,1,1001110100,0,25,984314,198099,12d, ,101S027,10104, ,0, ,1,1,1,17V1.1,0,4630.505767,804198.1653,37412600,16,1,5693,5693,3575,804375,4.648444176,21.68333435,17.03489017,11.72387544,3.535134464,41912.8547 +5694,MN,455,35,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,233 1 AVENUE,C1-7A, , , , , , , , , ,N,S3,4,0, ,FIRST AVENUE 233 LLC,1200,3885,971,2914,0,971,0,0,0,0,2,1,4,3,4,20,60,20,40,E,0,N,5,5,123250,183417,0,0,1900,0,0, , ,3.24,6.02,2,6.5,1,1004550035,0,40,988960,205674,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,165.7988375,1270.970975,60167,12,0,5694,5694,6,1350,22.17099953,22.17099953,0,22.17099953,0,133.0259972 +5695,MN,780,36,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,370 7 AVENUE,M1-6, , , , , , , , , ,N,O6,5,0, ,370 SEVENTH AVENUE FE,19750,332383,332383,0,317383,15000,0,0,0,0,2,1,17,0,0,197.5,100,197.5,100, ,0,N,3,5,6165000,37363500,0,0,1921,0,0, , ,16.83,0,10,10,1,1007800036,0,101,986313,212125,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,611.9353118,20796.43333,31198500,6,0,5695,5695,92,20700,31.09600067,35.8777771,4.781776428,31.30097889,0.855271485,2879.690058 +5696,MN,460,28,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,234 EAST 5 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,A&W MYCAK LLC,2020,6155,0,6155,0,0,0,0,0,0,2,1,4,6,6,21,96.17,21,58, ,3,N,5,5,43491,173043,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.05,4,0,4,1,1004600028,0,38,987052,204118,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,239.7999288,2120.975839,129552,1,0,5696,5696,10,2250,35.65444565,38.7555542,3.101108551,36.30555649,1.059146844,363.0555649 +5697,MN,829,11,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,45 WEST 27 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,MADISON SQUARE PORTFO,4906,54238,54238,0,0,4000,0,50238,0,0,2,1,12,0,12,50,98.75,50,95,E,3,N,5,2,1264500,2609100,0,0,1912,2014,0,Madison Square North Historic District, ,11.06,0,10,10,1,1008290011,0,58,987031,210789,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,303.675406,5064.794761,1344600,2,0,5697,5697,23,5175,42.75111008,45.21777725,2.466667175,43.0229459,0.708735165,989.5277557 +5698,MN,588,14,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,34 GROVE STREET,R6, , , , , , , , , ,N,C0,2,0, ,GILMORE ELIZBETH B,2100,3312,0,3312,0,0,0,0,0,0,2,1,3,3,3,21,100,21,50, ,3,N,5,5,46870,236160,0,0,1910,0,2009,Greenwich Village Historic District, ,1.58,2.43,0,4.8,1,1005880014,0,73,982968,206143,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.0807668,2174.204353,189290,9,0,5698,5698,10,2250,18.94666672,22.73555565,3.788888931,19.89044456,1.186115674,198.9044456 +5699,MN,446,2,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,74 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0, ,74 SECOND AVENUE REAL,2400,7228,1807,5421,0,1807,0,0,0,0,2,1,4,5,6,24,100,24,86, ,3,N,5,5,91371,286972,0,0,1900,1989,2006,East Village/Lower East Side Historic Di, ,3.01,4,0,4,1,1004460002,0,38,987297,203857,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,256.8877575,2561.056096,195601,1,0,5699,5699,11,2475,32.62111282,32.62111282,0,32.62111282,0,358.8322411 +5700,MN,623,34,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,60 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,SUSAN MASSAD LLC,1738,4350,0,4350,0,0,0,0,0,0,2,1,3,6,6,23.17,75,23,36, ,3,N,5,5,156388,469163,0,0,1910,0,0,Greenwich Village Historic District, ,2.5,2.43,0,4.8,1,1006230034,0,77,983120,207647,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,202.8006229,1868.135942,312775,8,0,5700,5700,8,1800,22.60333252,22.80333328,0.200000763,22.6386106,0.067827658,181.1088848 +5701,MN,902,19,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,227 EAST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,26/32 J LLC,2271,4602,1150,3452,0,1150,0,0,0,0,2,1,4,6,7,23,98.75,23,42,E,0,N,5,5,34551,291748,0,0,1910,0,0, , ,2.03,4,0,4,1,1009020019,0,64,989058,207855,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,252.2382354,2392.155111,257197,5,0,5701,5701,11,2475,19.86555672,21.6922226,1.826665878,20.51045504,0.773228793,225.6150055 +5702,MN,446,6,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,82 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,SFP 1881 HOLDINGS LLC,2400,4956,1239,3717,0,1239,0,0,0,0,2,1,4.5,4,6,24,100,24,56,E,3,N,5,5,134179,294434,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,2.07,4,0,4,1,1004460006,0,38,987344,203941,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,256.0585291,2465.497375,160255,1,0,5702,5702,10,2250,32.62111282,36.65999985,4.038887024,33.65611229,1.252125909,336.5611229 +5703,MN,757,17,104,103,1000,2,3,10001,L021,14,15,5500,1,4,2A,325 WEST 33 STREET,C6-4, , , , , ,HY, , , ,N,H1,5,0, ,"325 WEST 33RD LLC, A",7406,120639,0,0,0,0,0,0,0,0,2,1,22,0,239,75,98.75,75,78.9, ,3,N,5,2,4999050,30617100,0,0,2013,0,0, , ,16.29,10,10,10,1,1007570017,0,103,985607,213346,8d, ,105S020,10304,E-32,0, ,1, , ,17V1.1,0,368.2917884,8281.153314,25618100,6,0,5703,5703,37,8325,40.71766663,43.13999939,2.422332764,41.82461878,0.640104536,1547.510895 +5704,MN,921,14,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,323 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C5,2,0, ,323 EAST 14TH ST ASSO,2386,7630,0,7630,0,0,0,0,0,0,2,1,4,15,15,23,103.25,23,72, ,3,N,5,1,64800,1263150,0,0,1910,1987,0, , ,3.2,4,2,4,1,1009210014,0,48,988750,206024,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,261.3296308,2528.157187,1198350,12,0,5704,5704,12,2700,22.90500069,25.41333389,2.508333206,23.59620444,1.061583562,283.1544533 +5705,MN,171,31,101,31,1009,2,1,10013,L001,5,15,7700,1,1,3B,109 LEONARD STREET,C6-4A, , , , , , , , , ,N,Z1,8,0,C,DCAS,36635,400975,400975,0,0,0,0,0,0,400975,2,1,12,0,1,200.67,198.17,130.5,108, ,0,Y,5,2,6594300,36421200,6594300,36421200,1972,0,0, , ,10.95,10,10,10,1,1001710031,0,31,983491,200373,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,797.2801099,37660.53319,29826900,14,0,5705,5705,167,37575,15.01222229,23.87666702,8.864444733,15.61642667,1.872869873,2607.943254 +5706,MN,872,53,106,50,5001,2,2,10003,E005,13,14,5300,1,6,1A,130 EAST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,130 E 17 ST OWNERS IN,2270,7670,0,7670,0,0,0,0,0,0,2,1,4,13,13,24.75,92,25,57, ,3,N,5,1,90000,1070100,47078,47078,1930,1983,0, , ,3.38,4,0,4,1,1008720053,0,50,987898,207209,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,233.3922725,2252.062705,980100,5,0,5706,5706,8,1800,31.57888794,33.44444656,1.865558624,31.82111073,0.614018548,254.5688858 +5707,MN,452,7501,103,40,5001,1,2,10003,L011,9,14,6200,4,3, ,239 EAST 10 STREET,R8B, , , , , , , , , ,N,R2,2,0, , ,2369,7073,0,7073,0,0,0,0,0,0,2,1,6,12,12,25,94.75,25,55, ,0,N,0,2,297000,906300,4720,4720,1987,0,0, , ,2.99,4,0,4,1,1004527501,2238,40,988455,204937,12c, ,102 027,10205, ,1004520038,5/24/2011,1, , ,17V1.1,7,250.959536,2528.458422,609300,12,0,5707,5707,11,2475,22.86222267,23.46333313,0.601110458,22.95802047,0.19685815,252.5382252 +5708,MN,595,59,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,533 CANAL STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,LIBERTY VIEW CORP,5307,45648,8700,36948,0,300,0,8400,0,0,2,1,8,8,10,101,58,101,60, ,2,Y,3,2,538493,2263320,0,0,1911,2014,2015, , ,8.6,6.02,6,6.5,1,1005950059,0,37,981555,203512,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,302.182871,5358.807902,1724830,0,1,5708,5708,23,5175,7.938889027,8.821000099,0.882111073,8.782647444,0.179889899,202.0008912 +5709,MN,906,48,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,212 EAST 26 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,V G C REALTY CORP.,2469,6895,1000,5895,1000,0,0,0,0,0,2,2,3,12,13,28,98.75,28,40, ,0,N,5,5,134100,556650,0,0,1920,0,0, , ,2.79,4,0,4,1,1009060048,0,66,989484,208958,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,262.9813986,2974.26123,422550,11,0,5709,5709,13,2925,30.96199989,39.13888931,8.17688942,32.22894008,2.814135631,418.9762211 +5710,MN,280,54,103,8,1001,2,1,10038,E009,5,14,7800,1,3,1A,21 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,CATHERINE STREET ASSO,2367,8875,1775,7100,0,1775,0,0,0,0,2,1,5,15,16,23,104.33,23,80, ,3,Y,5,2,123750,382500,0,0,1900,0,0, , ,3.75,3.44,0,6.5,1,1002800054,0,8,985105,199040,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,256.9430324,2479.980445,258750,16,0,5710,5710,13,2925,27.8318882,29.04899979,1.217111588,28.94898268,0.323231703,376.3367748 +5711,MN,483,4,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,496 BROADWAY,M1-5B, , , , , , , , , ,N,S4,4,0, ,496 BROADWAY LLC,2237,9713,1713,8000,0,1713,0,0,0,0,2,1,5,4,5,22.25,100.33,22,92,E,3,Y,5,2,450000,3625650,0,0,1900,1986,2014,SoHo-Cast Iron Historic District, ,4.34,0,5,6.5,1,1004830004,0,45,984434,202305,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,253.1096938,2254.410925,3175650,0,0,5711,5711,11,2475,24.68222237,24.68222237,0,24.68222237,0,271.504446 +5712,MN,793,56,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,130 WEST 18 STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,18TH STREET ASSOCIAT,3956,7912,3937,3975,0,3937,0,0,0,0,2,1,2,1,2,43,92,43,92, ,2,N,5,2,102259,217455,100,300,1901,0,0, ,130-132 WEST 18TH STREET STABLES BU,2,6.02,6,6.5,1,1007930056,0,81,985229,208963,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,273.4239375,4018.920963,115196,7,0,5712,5712,19,4275,27.66555595,30.91888809,3.253332138,27.99812899,0.970087063,531.9644508 +5713,MN,448,26,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,84 EAST 7 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,ROBERT A HELLERMAN,1836,7017,1050,5967,0,1050,0,0,0,0,2,1,5,8,10,27.5,66.75,28,44,E,3,N,5,2,35506,182403,0,0,1910,1988,0,East Village/Lower East Side Historic Di, ,3.82,4,0,4,1,1004480026,0,38,988050,204149,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,198.0940146,2003.983997,146897,12,0,5713,5713,10,2250,27.1590004,27.86999893,0.710998535,27.33211117,0.262544076,273.3211117 +5714,MN,850,64,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,12 EAST 22 STREET,M1-5M, , , , , , , , , ,N,D7,4,0, ,ALMARK HOLDING CO,7776,78646,7000,71646,0,7000,0,0,0,0,2,1,12,86,87,78.75,98.75,79,90,E,3,N,5,2,1134000,12348450,0,0,1911,1988,0, , ,10.11,0,5,6.5,1,1008500064,0,56,987368,208908,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,366.3433908,8235.852635,11214500,11,0,5714,5714,36,8100,35.59999847,40.18444443,4.584445953,36.15962823,1.406313063,1301.746616 +5715,MN,176,14,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,175 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,175 WEST BROADWAY REA,545,2725,2725,0,2725,0,0,0,0,0,2,1,4,0,1,20.17,27,20,27, ,3,Y,5,1,59400,419400,0,0,1915,0,0, ,175 WEST BROADWAY BUILDING,5,6.02,6,6.5,1,1001760014,0,33,982253,200788,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,98.40767773,590.5032374,360000,14,0,5715,5715,2,450,14.40400028,14.40400028,0,14.40400028,0,28.80800056 +5716,MN,475,22,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,41 WOOSTER STREET,M1-5B,M1-5A, , , , , , , , ,Y,O5,5,0, ,WOOSTER 41 LLC,6230,18500,18500,0,11000,5000,0,2500,0,0,2,1,4,0,8,50.17,128,50,126,E,3,Y,5,2,702000,1848150,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,2.97,0,5,6.5,1,1004750022,0,47,983466,202529,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,404.0437372,6525.955752,1146150,0,1,5716,5716,27,6075,9.686666489,9.686666489,0,9.686666489,0,261.5399952 +5717,MN,612,7505,102,73,6001,2,3,10014,Q018,6,15,6400,2,2, ,28 PERRY STREET,C2-6,R6, , , , , , , , ,Y,R2,2,0, ,28 PERRY ST CONDOMINU,2125,7115,0,7115,0,0,0,0,0,0,2,1,5,17,17,25,85,25,72, ,3,N,5,5,311850,1318502,0,0,1900,0,0,Greenwich Village Historic District, ,3.35,3.44,2,6.5,1,1006127505,2061,73,983644,207246,12a, ,103 015,10209, ,1006120017,11/4/2009,1, , ,17V1.1,7,225.6468909,2106.241211,1006650,8,0,5717,5717,10,2250,24.50222206,25.48333359,0.981111526,24.60033321,0.294333458,246.0033321 +5718,MN,801,11,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,151 WEST 25 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,ROYAL EQUITIES OPERAT,5863,70804,70804,0,0,5500,0,65304,0,0,2,1,12,6,19,59.33,98.75,59,96, ,3,N,5,1,823500,5196150,0,0,1909,1988,0, , ,12.08,0,10,10,1,1008010011,0,91,985988,210777,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,327.5185981,6224.293536,4372650,2,0,5718,5718,27,6075,32.50999832,32.50999832,0,32.50999832,0,877.7699547 +5719,MN,886,47,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,440 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0, ,LTG PROPERTY HOLDINGS,2420,6865,500,6365,0,500,0,0,0,0,2,2,4,13,14,19.67,100,19.67,96,E,3,Y,5,2,103050,1258650,0,0,1915,1971,0, , ,2.84,10,2,10,1,1008860047,0,72,989745,210209,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,269.5477679,2396.842794,1155600,10,0,5719,5719,10,2250,28.17889023,35.85000229,7.671112061,28.94600143,2.301333618,289.4600143 +5720,MN,140,9,101,21,2000,2,1,10007,E007,1,15,7700,1,1, ,155 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,D2,3,0, ,MANHATTAN REALTY COMP,1915,8900,1900,7000,0,1900,0,0,0,0,2,1,5,4,6,25,76.58,25,77, ,3,N,5,5,311825,711828,0,0,1920,0,0, , ,4.65,7.52,6,7.5,1,1001400009,0,21,981487,200161,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,210.8552455,2010.636535,400003,14,0,5720,5720,8,1800,17.90577698,18.1439991,0.238222122,18.11422133,0.078784562,144.9137707 +5721,MN,609,51,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,111 WEST 13 STREET,R6, , , , , , , , , ,N,A4,1,0,P,THE KIMBERLY R. TEXTO,2000,3280,0,2460,0,0,0,0,0,0,2,1,2,1,1,20,100,20,41, ,3,N,5,1,40619,202521,0,0,1901,0,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1006090051,0,71,984845,207834,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,244.8882286,2081.522651,161902,8,0,5721,5721,10,2250,25.65555573,27.05144501,1.395889282,25.79514465,0.418766785,257.9514465 +5722,MN,587,14,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,18 COMMERCE STREET,C2-6, , , , , , , , , ,N,A9,1,0,P,"WHOLIHAN, DOROTHY J",1560,1200,0,1200,0,0,0,0,0,0,2,1,2.5,1,1,25,64.33,25,30, ,2,Y,5,2,18901,112803,0,0,1899,0,0,Greenwich Village Historic District, ,0.77,3.44,2,6.5,1,1005870014,0,67,983070,205821,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,178.8249286,1626.97469,93902,9,0,5722,5722,6,1350,15.94888878,20.7733326,4.824443817,17.26870346,1.932156772,103.6122208 +5723,MN,610,71,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,23 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C0,2,0, ,LEMONIDES CHARELS,1823,2160,0,2160,0,0,0,0,0,0,2,1,3,3,3,20,91.08,18,40, ,2,N,5,2,18423,105753,0,0,1915,0,0,Greenwich Village Historic District, ,1.18,2.43,0,4.8,1,1006100071,0,71,984010,206725,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,227.729063,1905.015985,87330,8,0,5723,5723,8,1800,18.18777847,20.17666626,1.988887787,18.82458377,0.833351035,150.5966702 +5724,MN,717,7504,104,89,3000,2,3,10011,E003,10,15,5600,1,4, ,422 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,RM,4,0, , ,10889,36424,1453,34971,0,0,0,0,0,1453,2,3,5,37,38,99.99,109,99.66,86, ,3,N,0,5,1057504,4703905,4266,18360,1920,0,0, , ,3.35,3,0,3,1,1007177504,2347,89,983137,210670,8b, ,103 042,10302, ,1007170054,12/6/2012,1, , ,17V1.1,7,417.4383566,10835.22266,3646400,7,1,5724,5724,48,10800,9.621110916,13.85666656,4.235555649,10.23406229,1.334466587,491.2349901 +5725,MN,723,15,104,93,6000,2,3,10001,E003,10,15,5200,1,4,2B,407 WEST 25 STREET,R8, , , , , , , , , ,N,D3,3,0,X,NYC HOUSING AUTH,74062,567000,0,567000,0,0,0,0,0,0,2,2,21,425,425,350,197.5,90.1,145.1, ,0,Y,4,1,4921650,61898400,4921650,61898400,1962,1987,0, , ,7.66,6.02,0,6.5,1,1007230015,0,93,983909,211992,8b,Y,105S006,10302, ,1007230015,5/17/2010,1, , ,17V1.1,0,1209.826345,76942.93042,56976800,2,0,5725,5725,343,77175,15.55888939,21.23411179,5.675222397,18.14759906,1.450158164,6224.626477 +5726,MN,616,11,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,54 8 AVENUE,C1-6, , , , , , , , , ,N,D4,3,0, ,14 HORATIO ST APTS CO,11245,127072,10000,117072,0,10000,0,0,0,0,2,1,17,160,163,73.83,120,66,82, ,2,Y,3,2,1471500,12094200,279275,279275,1960,1981,0,Greenwich Village Historic District, ,11.3,3.44,2,6.5,1,1006160011,0,77,983351,208353,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,410.0855327,10114.1187,10622700,8,0,5726,5726,45,10125,21.81777763,22.87000084,1.052223206,22.0026641,0.325395829,990.1198845 +5727,MN,860,34,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,47 EAST 30 STREET,C6-4A,C5-2, , , , , , , , ,Y,S5,4,0, ,47-30 REALTY ASSOCIAT,2067,5320,2242,3078,0,2242,0,0,0,0,2,1,4,5,6,19.17,98.75,19,54, ,3,Y,5,2,151231,581608,0,0,1915,0,0, , ,2.57,10,10,10,1,1008600034,0,74,988823,210683,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,249.1366997,2032.537793,430377,10,0,5727,5727,9,2025,37.50888824,39.49666595,1.98777771,38.03343201,0.751523334,342.3008881 +5728,MN,923,37,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,309 1 AVENUE,C1-8A, , , , , , , , , ,N,I4,8,0, ,305 FIRST AVENUE NY O,1840,4784,1100,3684,1100,0,0,0,0,0,2,1,4,3,4,23,80,23,46,E,3,N,5,2,190800,425700,143100,319273,1950,1973,0, , ,2.6,7.52,2,7.5,1,1009230037,0,48,989475,206624,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,212.3874992,1970.571342,234900,5,0,5728,5728,8,1800,14.83555603,14.83555603,0,14.83555603,0,118.6844482 +5729,MN,871,32,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,137 EAST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,137 EAST 15 STREET CO,2435,8920,0,8920,0,0,0,0,0,0,2,1,4,5,5,23.58,103.25,24,65,E,2,N,5,2,149831,708279,2360,2360,1910,1980,2008, , ,3.66,4,0,4,1,1008710032,0,50,987755,206879,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,263.5531659,2610.089653,558448,5,0,5729,5729,12,2700,33.78900146,35.94666672,2.157665253,33.9688069,0.596347172,407.6256828 +5730,MN,805,71,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,120 WEST 30 STREET,M1-6, , , , , , , , , ,N,W3,8,0,P,HARMIT REALTIES LLC,7325,36366,36366,0,30066,6300,0,0,0,0,2,1,6,0,2,61.83,118.5,61.83,102, ,0,Y,5,2,855000,2864250,0,0,1920,2000,0, , ,4.96,0,10,10,1,1008050071,0,95,986864,211582,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,346.9569583,6687.206778,2009250,6,0,5730,5730,29,6525,34.63499832,40.50666809,5.871669769,35.02833189,1.44587575,1015.821625 +5731,MN,696,35,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,249 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,G1,10,0,P,"TENTH AVE GARAGE,",4950,23990,23990,0,0,0,23990,0,0,0,2,1,5,0,2,39.5,100,39.5,100, ,0,Y,4,5,396000,2097000,0,0,1946,0,0, , ,4.85,7.52,6,10,1,1006960035,0,99,983223,212118,8b, ,105S003,10301,E-142,0, ,1, , ,17V1.1,0,364.2269606,5053.215836,1701000,2,1,5731,5731,22,4950,9.899999619,12.36666679,2.466667175,11.07168219,0.387151054,243.5770082 +5732,MN,530,55,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,26 BOND STREET,M1-5B, , , , , , , , , ,N,C5,2,0,P,26 BNDO LLC,2675,7363,2677,4686,0,2677,0,0,0,0,2,1,3.5,6,7,26.75,100,27,100, ,3,N,5,1,35522,375453,0,0,1915,1987,2009,NoHo Historic District Extension, ,2.75,0,5,6.5,1,1005300055,0,5502,986034,204007,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,260.0027332,2786.429714,339931,9,0,5732,5732,12,2700,43.14099884,43.14099884,0,43.14099884,0,517.6919861 +5733,MN,629,7504,102,77,3000,2,3,10014,L005,6,15,6100,3,2, ,77 8 AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0, , ,7746,33668,10441,23227,4490,5951,0,0,0,0,2,2,6,11,13,77.46,100,0,0, ,0,N,0,5,1201499,6431850,0,0,1920,0,0, ,MANUFACTURERS HANOVER TRUST COMPANY,4.35,6.02,6,6.5,1,1006297504,1120,77,983422,208758,8b, ,103 035,10210, ,1006290035,4/11/2000,1, , ,17V1.1,7,367.634676,8285.374657,5230350,8,0,5733,5733,37,8325,16.45777702,21.68333435,5.225557327,16.71875005,1.06056044,618.5937519 +5734,MN,482,1,102,45,1001,2,1,10013,E055,5,15,6800,1,2,1A,41 CROSBY STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,RECHERCHE REALTY CORP,6032,31365,2000,29365,0,2000,0,0,0,0,2,1,5,13,14,25,50,25,50,E,3,Y,5,2,271350,4257900,7080,7080,1900,1980,0,SoHo-Cast Iron Historic District Extensi, ,5.2,0,5,6.5,1,1004820001,0,45,984629,202152,12c, ,101N073,10206, ,1004820001,9/27/1991,1, , ,17V1.1,0,382.7124821,6390.133717,3986550,0,0,5734,5734,28,6300,30.94300079,30.94300079,0,30.94300079,0,866.4040222 +5735,MN,467,1,103,40,2001,1,2,10003,L003,9,14,6200,1,3,4B,67 3 AVENUE,C6-2A,R8B, , , , , , , , ,Y,H8,8,0, ,NEW YORK UNIVERSITY,36022,337600,7600,0,0,7600,0,0,0,0,2,2,14,0,5,206,347,206,190, ,3,Y,3,2,10575000,33225750,10257750,32228978,1988,2009,0, , ,9.37,6.02,6,6.5,1,1004670001,0,40,987591,205773,12c, ,102 026,10205, ,1004670013,12/24/1986,1, , ,17V1.1,0,821.4659982,37417.90949,22650800,12,0,5735,5735,168,37800,28.52666664,37.94111252,9.414445877,30.89797886,3.624131496,5190.860449 +5736,MN,764,68,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,256 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,256 WEST 15 STREET RE,2581,13056,2046,11010,0,2046,0,0,0,0,2,1,6,22,24,25,103.25,25,88, ,3,N,5,1,268200,1723950,0,0,1901,1984,0, , ,5.06,4,0,4,1,1007640068,0,81,983808,208881,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,261.3712394,2599.149348,1455750,7,0,5736,5736,11,2475,22.05333328,22.05333328,0,22.05333328,0,242.5866661 +5737,MN,915,60,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,202 EAST 35 STREET,C1-9, , , , , , , , , ,N,B9,1,0, ,NYC OWNERS GROUP LLC,1482,3340,0,3340,0,0,0,0,0,0,2,1,4,2,2,20,74.08,20,74, ,3,N,5,2,25436,144885,0,0,1920,0,0, , ,2.25,10,2,10,1,1009150060,0,78,990519,211093,8d, ,104 022,10308, ,1009151002,9/24/2004,1, , ,17V1.1,0,192.1700306,1483.106725,119449,10,0,5737,5737,7,1575,27.39299965,29.26000023,1.86700058,27.90722193,0.813850413,195.3505535 +5738,MN,134,7502,101,21,1004,2,1,10007,L010,1,15,7700,1,1, ,17 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,THE 17 MURRAY STREET,2511,13060,6124,6936,0,0,0,0,0,6124,2,1,5,4,5,25.17,100.1,0,0, ,0,N,0,5,158540,1152597,2360,2360,1920,0,0, , ,5.2,7.52,6,7.5,1,1001347502,1079,21,982019,199293,12b, ,101S018,10104, ,1001340005,12/20/1999,1, , ,17V1.1,7,259.2600221,2567.375558,994057,3,0,5738,5738,11,2475,30.50333214,30.50333214,0,30.50333214,0,335.5366535 +5739,MN,568,18,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,74 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,C7,4,0, ,N.M.G. REALTY CO.,2190,9893,2147,7746,0,2147,0,0,0,0,2,1,5,14,17,23.5,94.83,23,90, ,3,Y,3,2,258300,1986750,0,0,1922,0,0, , ,4.52,6.02,2,6.5,1,1005680018,0,61,986005,206447,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,245.2109231,2432.15844,1728450,8,0,5739,5739,10,2250,30.95599937,34.5684433,3.612443924,31.36617718,1.077345844,313.6617718 +5740,MN,540,5,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,112 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0, ,AFRICAN AMERICAN RLTY,2500,6375,1000,5375,0,1000,0,0,0,0,2,1,5,18,20,25,100,25,50, ,3,N,5,2,128700,1085400,0,0,1900,0,0,South Village Historic District, ,2.55,3.44,0,6.5,1,1005400005,0,65,984099,205075,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,256.9038877,2609.723288,956700,9,0,5740,5740,13,2925,22.5755558,24.61322212,2.037666321,22.73229936,0.54297563,295.5198917 +5741,MN,116,42,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,25 MADISON STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,27 ST. JAMES HOLDINGS,1024,4765,952,3813,0,952,0,0,0,0,2,1,5,4,5,45.58,61.5,46,58, ,2,Y,3,5,159317,277612,0,0,1905,1988,0, , ,4.65,3.44,0,6.5,1,1001160042,0,27,984439,198661,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,158.7084829,1108.626977,118295,16,0,5741,5741,4,900,14.38099957,14.38099957,0,14.38099957,0,57.52399826 +5742,MN,293,23,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,98 DIVISION STREET,C6-1G, , , , , , , , , ,N,E9,6,0, ,100 DIVISION ST RLYCO,6068,17369,17369,0,0,5852,0,11517,0,0,2,2,4,0,2,73.67,77.25,50,90, ,0,Y,3,2,277200,865350,0,0,1900,0,0, , ,2.86,3.44,6,6.5,1,1002930023,0,16,986140,199596,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,341.8419367,6744.160661,588150,16,0,5742,5742,31,6975,38.51699829,40.12555695,1.608558655,38.56888728,0.284207697,1195.635506 +5743,MN,882,74,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,124 EAST 27 STREET,C4-5A, , , , , , , , , ,N,C7,4,0,P,"FUNDAMENTAL REALTY,",2469,6376,1876,4500,0,1876,0,0,0,0,2,1,4,8,9,25,98.75,25,67,E,3,N,5,1,231143,796308,0,0,1910,2011,0, , ,2.58,4,4,4,1,1008820074,0,68,988793,209634,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,252.1785132,2498.954747,565165,11,0,5743,5743,11,2475,33.85400009,34.45333099,0.599330902,33.90848472,0.17229552,372.9933319 +5744,MN,78,7507,101,15.02,1003,2,1,10038,E006,1,15,7700,1,1, ,59 JOHN STREET,C6-4, , , , , , , , , ,N,RM,4,0, ,FIVE NINE JOHN LOFTS,10551,97798,7804,89994,0,7804,0,0,0,0,2,1,13,73,74,122,90.08,122,90, ,3,Y,0,5,2060999,12936152,0,812098,1909,2004,0, , ,9.27,10,10,10,1,1000787507,1627,1502,982234,197587,12b, ,101S011,10102, ,1000780010,12/29/2006,1, , ,17V1.1,7,433.8974743,11461.37435,10875200,4,0,5744,5744,52,11700,28.78822327,34.05333328,5.265110016,29.1960301,1.236782206,1518.193565 +5745,MN,465,1,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,31 3 AVENUE,C6-2A,R8B, , , , , , , , ,Y,H8,8,0, ,NEW YORK UNIVERSITY,27583,146583,7708,0,0,7708,0,0,0,0,2,1,16,0,7,184.42,137,163,122, ,3,Y,1,2,8100000,25173450,8100000,23775915,1986,0,0, , ,5.31,6.02,6,6.5,1,1004650001,0,40,987306,205330,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,596.1033885,17871.85452,17073500,12,0,5745,5745,79,17775,33.48777771,38.94444275,5.456665039,34.49167223,1.973091086,2724.842106 +5746,MN,764,48,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,216 WEST 15 STREET,R8B, , , , , , , , , ,N,N2,8,0, ,NAZARETH NURSERY,2141,4456,4456,0,0,0,0,0,0,4456,2,1,3,0,3,24.75,86.5,25,45, ,3,N,5,1,226350,447750,0,0,1910,0,0, , ,2.08,4,0,4,1,1007640048,0,81,984192,208678,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,230.0117601,2336.127252,221400,7,0,5746,5746,11,2475,24.42199898,24.72222137,0.300222397,24.48327186,0.111069518,269.3159904 +5747,MN,470,24,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,115 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0, ,"167 MOTT STREET, LLC",2367,9375,0,9375,0,0,0,0,0,0,2,1,5,10,10,25,94.67,25,75, ,3,Y,5,2,20513,114683,0,0,1900,1989,0, , ,3.96,6.02,6,6.5,1,1004700024,0,41,985414,201293,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,243.8112428,2364.652784,94170,0,0,5747,5747,12,2700,28.80888939,29.87999916,1.071109772,28.89814854,0.296039102,346.7777824 +5748,MN,107,51,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1, ,279 WATER STREET,C6-2A, , , , , ,LM, , , ,N,K4,4,0, ,"BRIDGE ASSOCIATES,",1641,5653,5653,0,4153,1500,0,0,0,0,2,2,5,0,2,28,60.33,28,33, ,3,Y,3,2,130500,511200,0,0,1920,1989,2013,South Street Seaport Historic District, ,3.44,6.02,6,6.5,1,1001070051,0,1501,984017,197451,12d, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,178.8039603,1731.634874,380700,4,1,5748,5748,9,2025,6.215000153,9.546666145,3.331665993,7.105061796,1.323585157,63.94555616 +5749,MN,397,18,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,171 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,C1,2,0, ,OGRIN FAMILY LLC,2623,10662,0,10662,0,0,0,0,0,0,2,1,6,18,18,24.75,105.92,25,90, ,1,N,5,2,308700,906300,0,0,1900,0,0, , 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,17V1.1,0,277.7954447,2919.87188,1794150,0,0,5755,5755,13,2925,38.05444717,40.54555511,2.491107941,38.24607086,0.663803926,497.1989212 +5756,MN,610,24,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2K,178 WAVERLY PLACE,R6, , , , , , , , , ,N,C5,2,0, ,176-178 WAVERLY PLACE,1454,3374,0,3374,0,0,0,0,0,0,2,1,3,7,7,17,85.5,17,56,E,3,N,5,1,100723,303187,0,0,1905,2005,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1006100024,0,73,983821,206767,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,211.9131345,1547.618101,202464,8,0,5756,5756,7,1575,20.06299973,20.06299973,0,20.06299973,0,140.4409981 +5757,MN,912,16,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,227 EAST 31 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,YUNG KEE REALTY CORP,1700,4424,0,2950,0,0,0,0,0,0,2,1,4,1,1,17,98.75,17,60,E,3,N,5,1,144483,356293,0,0,1910,1987,2007, , ,2.6,3,0,3,1,1009120016,0,70,990274,210170,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,235.5132841,1701.504579,211810,10,0,5757,5757,8,1800,26.45000076,27.78222275,1.332221985,26.69680619,0.46097186,213.5744495 +5758,MN,164,49,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,13 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"YOUNG, SALLY",2736,10810,1250,9560,0,1250,0,0,0,0,2,2,5,19,20,25.92,92.58,26.25,47.5, ,3,Y,5,2,112500,436050,0,0,1915,1986,0, , ,3.95,3.44,6,6.5,1,1001640049,0,29,984529,199446,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,249.2597611,2775.681828,323550,16,0,5758,5758,13,2925,25.58300018,25.58300018,0,25.58300018,0,332.5790024 +5759,MN,214,25,101,39,4000,2,1,10013,L008,1,15,7700,1,1,3B,135 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0, ,135 HUDSON ST COOP IN,3727,22363,0,22363,0,0,0,0,0,0,2,1,6,12,12,28.58,130.17,29,30, ,2,Y,3,2,335250,1794150,187761,187761,1915,1977,0,Tribeca West Historic District, ,6,6.02,6,6.5,1,1002140025,0,39,981800,201872,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,328.0788043,4042.670097,1458900,14,0,5759,5759,18,4050,14.83500004,15.08333302,0.248332977,14.84879631,0.056883505,267.2783337 +5760,MN,582,35,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,51 CARMINE STREET,R6,C2-6, , , , , , , , ,Y,C7,4,0, ,CARMINE LIMITED,5250,9450,1500,7950,0,1500,0,0,0,0,2,3,3,15,16,75,60,25,74, ,3,N,3,5,199350,1966950,0,0,1900,1987,0, , ,1.8,2.43,0,4.8,1,1005820035,0,67,983068,205217,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,342.4873781,5618.448298,1767600,9,0,5760,5760,25,5625,15.38333321,15.38333321,0,15.38333321,0,384.5833302 +5761,MN,890,24,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,245 LEXINGTON AVENUE,C1-9,R10, , , , , , , , ,Y,W2,8,0,X,YESHIVA UNIVERSITY,5800,75512,75512,0,0,0,0,0,0,75512,2,1,12,1,2,60,100,60,100, ,2,Y,5,2,1270350,6835500,1270350,6835500,1969,0,0, , ,13.02,10,2,10,1,1008900024,0,72,990011,211297,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,325.3356701,6021.455173,5565150,10,0,5761,5761,28,6300,37.79100037,49.90333176,12.11233139,39.16159167,3.506195736,1096.524567 +5762,MN,151,22,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,18 THOMAS STREET,C6-4, , , , , , , , , ,N,O7,5,0, ,"THE FLEA THEATER INC,",3586,7100,7100,0,7100,0,0,0,0,0,2,1,2,0,2,41,96.33,41,68, ,3,Y,5,2,278550,808650,0,0,1949,1983,0, , ,1.98,10,10,10,1,1001510022,0,33,982589,200141,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,273.50157,3465.226228,530100,14,0,5762,5762,16,3600,23.98999977,28.13666725,4.14666748,24.24916649,1.003748381,387.9866638 +5763,MN,337,44,103,12,2003,1,1,10002,L018,7,14,7600,1,3,2B, WILLETT STREET,R7-2, , , ,C2-5, , , , , ,N,T9,7,0,C,NYC DEPT OF HIGHWAYS,21055,0,0,0,0,0,0,0,0,0,7,1,0,0,0,105.25,200,0,0, ,0,N,0,5,907200,907200,907200,907200,0,0,0, , ,0,3.44,0,6.5,1,1003370044,0,12,989249,200387,12c, ,101N082,10201, ,0, ,1, , 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,17V1.1,0,199.4512654,1688.603444,164087,8,0,5786,5786,8,1800,22.30444527,24.54222107,2.237775803,22.81111145,0.88389696,182.4888916 +5787,MN,188,9,101,39,4002,2,1,10013,E007,1,15,7700,1,1,3A,385 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0, ,385 GREENWICH STREET,1742,6211,1742,4469,0,1742,0,0,0,0,2,1,4,3,5,24.92,69.92,25,70, ,0,N,3,5,136714,237168,0,0,1920,1984,2006,Tribeca West Historic District, ,3.57,6.02,6,6.5,1,1001880009,0,39,981517,201663,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,206.8088339,2083.47136,100454,14,0,5787,5787,10,2250,14.157444,15.11899948,0.961555481,15.02284393,0.288466644,150.2284393 +5788,MN,913,39,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,248 EAST 33 STREET,C1-8A, , , , , , , , , ,N,S3,4,0, ,THE MARCY S. RUBENSTE,1233,3015,750,2265,0,750,0,0,0,0,2,1,3,3,4,16.67,74,17,45, ,3,N,5,5,121389,281495,0,0,1910,0,0, , ,2.45,7.52,2,7.5,1,1009130039,0,70,990643,210391,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,182.5293884,1219.815853,160106,10,0,5788,5788,6,1350,19.78333282,21.3144455,1.531112671,20.03851827,0.570612002,120.2311096 +5789,MN,283,41,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,127 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,PUN & CHENG REALTY C,2100,8960,1792,7168,0,1792,0,0,0,0,2,1,5,8,10,28,75,28,61, ,2,N,5,2,187039,445703,0,0,1915,1961,0, , ,4.27,3.44,0,6.5,1,1002830041,0,6,986475,199296,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,206.6593508,2126.926412,258664,16,0,5789,5789,11,2475,34.39999771,38.59555817,4.195560455,37.27048388,1.008304958,409.9753227 +5790,MN,801,59,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,130 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,130 W 26TH ST HOUSING,2469,16100,2300,13800,0,2300,0,0,0,0,2,1,7,6,7,25,98.75,25,92, ,3,N,5,2,68389,514537,68389,400840,1912,1985,0, , ,6.52,0,10,10,1,1008010059,0,91,986228,210760,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,249.1229136,2546.394766,446148,2,0,5790,5790,12,2700,32.50999832,37.41444397,4.904445648,32.91870213,1.355517168,395.0244255 +5791,MN,450,33,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,81 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,81-83 ST MARKS REALTY,4696,18570,3714,14856,0,3714,0,0,0,0,2,4,5,24,31,50,93.92,25,44, ,3,Y,3,2,783000,2175750,0,0,1900,0,0, , ,3.95,4,0,4,1,1004500033,0,38,988296,204464,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,333.6008984,5491.695895,1392750,12,0,5791,5791,23,5175,25.4810009,25.91777802,0.436777115,25.52434382,0.108717086,587.0599079 +5792,MN,417,70,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,82 STANTON STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,DC REALTY CORP,2438,6688,6688,0,2200,1144,0,0,0,0,2,3,3,0,6,44.17,52.29,22,49, ,3,Y,3,2,315000,1260900,0,0,1920,2005,0, , ,2.74,4,4,4,1,1004170070,0,3001,987362,202204,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,198.8568843,2456.732803,945900,1,0,5792,5792,10,2250,33.19499969,34.87722015,1.682220459,33.36322174,0.504666138,333.6322174 +5793,MN,410,25,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,109 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,109-111 LUDLOW STREET,3564,16812,2956,13856,0,2956,0,0,0,0,2,1,6,24,26,40.5,88,41,72, ,3,N,5,2,360000,2153250,0,0,1920,1988,1998, , ,4.72,4,4,4,1,1004100025,0,18,987311,201378,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,262.8537248,3718.565946,1793250,13,0,5793,5793,17,3825,33.32444382,35.02322006,1.698776245,33.42437183,0.399712058,568.2143211 +5794,MN,915,58,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,206 EAST 35 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,206-8 EAST 35 STREET,1234,2436,0,2436,0,0,0,0,0,0,2,1,3,4,4,12.5,98.75,13,47, ,3,N,5,5,155726,262189,0,0,1900,0,0, , ,1.97,4,0,4,1,1009150058,0,78,990545,211064,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,228.4816037,1325.845203,106463,10,0,5794,5794,5,1125,27.39299965,29.67333412,2.280334473,27.8864666,0.896364464,139.432333 +5795,MN,558,7502,103,42,1001,1,2,10003,L003,9,14,6200,4,3, ,115 4 AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0,P,THE PETERFIELD CONDON,13830,88911,12800,76111,0,12800,0,0,0,0,2,1,8,70,71,71.17,126.42,0,0, ,0,Y,5,5,2475001,12112654,65634,90641,1905,0,0, , ,6.43,6.02,6,6.5,1,1005587502,446,42,987139,206259,12c, ,102 025,10207, ,1005580001,12/9/1987,1, , ,17V1.1,7,474.4145452,14445.4498,9637650,12,0,5795,5795,64,14400,38.19900131,44.46222305,6.263221741,38.38212109,1.022058453,2456.45575 +5796,MN,875,61,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,19 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,A9,1,0, ,"RUSSO, THOMAS A. ASTR",3161,14036,0,14036,0,0,0,0,0,0,2,2,5,1,1,29,109,29,50, ,0,N,3,2,312258,845059,0,0,1910,2012,0,Gramercy Park Historic District, ,4.44,3,0,3,1,1008750061,0,50,988104,207922,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,294.5874765,3619.883471,532801,5,0,5796,5796,17,3825,25.84222221,30.89333344,5.051111221,27.11957516,1.998270048,461.0327778 +5797,MN,746,71,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,354 WEST 23 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,354 356 W 23 ST CORP,2469,7500,0,7500,0,0,0,0,0,0,2,1,5,13,13,25,98.75,25,64,E,3,N,5,1,144000,812700,31007,31007,1900,1973,0, , ,3.04,4,2,4,1,1007460071,0,93,984042,211046,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,263.4582623,2733.651367,668700,2,0,5797,5797,11,2475,15.97222233,17.67111015,1.698887825,16.41858578,0.628963066,180.6044436 +5798,MN,931,24,106,66,7000,2,2,10010,E016,13,14,5800,1,6,1B,339 EAST 25 STREET,R8, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,24688,199517,199517,0,28352,0,0,0,0,171165,2,2,6,0,3,197.5,125,49.42,100, ,1,N,5,5,5554800,129671100,5554800,129671100,1921,2012,0, , ,8.08,6.02,0,6.5,1,1009310024,0,66,990422,208380,8d, ,104 009,10309, ,1009310031,9/14/2011,1, , ,17V1.1,0,669.7135593,26632.49933,124116000,11,0,5798,5798,119,26775,16.01022339,22.07999992,6.069776535,17.12714303,1.639978211,2038.13002 +5799,MN,158,9,101,29,4008,2,1,10007,E006,5,15,7700,1,1,3B,20 CARDINAL HAYES PLACE,C6-4, , , , , , , , , ,N,M3,8,0,P,ST ANDREWS R C CHURCH,4250,13500,13500,0,0,0,0,0,0,13500,2,1,4,0,1,56.42,102.08,46,92, ,2,Y,5,2,558000,1636200,558000,1636200,1937,0,0, , ,3.18,10,10,10,1,1001580009,0,29,983583,199171,12b, ,101S022,10105, ,0, ,1, , ,17V1.1,0,317.2313112,4633.383033,1078200,14,0,5799,5799,20,4500,20.06299973,24.20666695,4.143667221,20.56553869,1.265811545,411.3107738 +5800,MN,624,20,102,79,4006,2,3,10014,L005,6,15,6100,1,2,3B,599 HUDSON STREET,C1-6, , , , , , , , , ,N,C1,2,0, ,599 HUDSON LLC,1995,7167,0,7167,0,0,0,0,0,0,2,2,4,15,15,28.67,78.67,28.67,50,E,0,Y,5,1,360000,717750,0,0,1905,2005,0,Greenwich Village Historic District, ,3.59,3.44,2,6.5,1,1006240020,0,79,982572,207817,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,215.9827559,2191.506496,357750,8,0,5800,5800,12,2700,15.52555561,18.20222282,2.676667213,15.74861121,0.739791736,188.9833345 +5801,MN,50,1,101,13,1011,2,1,10006,E010,1,15,7700,1,1, ,115 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,"TRINITY CENTRE, LLC",16620,396607,396607,0,374003,22604,0,0,0,0,2,1,21,0,53,61.05,275.31,61,268, ,1,Y,1,2,4486500,30892050,0,0,1907,1989,0, ,U. S. REALTY BUILDING,23.86,10,15,15,1,1000500001,0,13,981070,197561,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,680.3903574,18116.26786,26405600,3,0,5801,5801,81,18225,22.53000069,35.16555405,12.63555336,23.32764117,2.286177006,1889.538935 +5802,MN,310,7501,103,16,4000,2,1,10002,E015,7,14,7400,2,3, ,27 ESSEX STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,HESTER PROPERTIES CO,1034,4678,1743,2935,0,1668,0,0,0,0,2,1,5,8,10,21,49,20,49, ,0,N,3,5,110614,349342,2360,2360,1903,1989,0, , ,4.52,6.02,6,6.5,1,1003107501,679,16,987062,200031,12c, ,101N051,10107, ,1003100033,12/21/1989,1, , ,17V1.1,7,148.6326345,1153.956987,238728,13,0,5802,5802,5,1125,33.57400131,34.98799896,1.41399765,34.70519943,0.56559906,173.5259972 +5803,MN,429,43,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,118 EAST 1 STREET,R8A, , , ,C2-5, , , , , ,N,C4,2,0, ,"ACACIA 118, LLC",2116,3900,0,3900,0,0,0,0,0,0,2,1,3,4,4,20,105,20,65, ,0,N,5,5,147790,200538,0,0,1900,0,0, , ,1.84,6,0,6,1,1004290043,0,3002,987991,202580,12c, ,102 011,10205,E-216,1004290041,1/6/1987,1, , ,17V1.1,0,257.5484334,2175.473875,52748,1,0,5803,5803,9,2025,25.1779995,25.1779995,0,25.1779995,0,226.6019955 +5804,MN,881,47,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,160 EAST 26 STREET,C2-8,C6-3A, , , , , , , , ,Y,D4,3,0, ,160 E 26 STREET OWNER,4709,31283,2200,29083,0,2200,0,0,0,0,2,1,7,48,49,26.67,109,26,107, ,3,Y,3,2,450000,4282650,40120,40120,1925,1988,0, , ,6.64,10,2,10,1,1008810047,0,68,989176,209170,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,417.3012785,4683.812118,3832650,11,0,5804,5804,20,4500,30.02400017,36.36333466,6.339334488,30.90806665,2.108347322,618.1613331 +5805,MN,817,7501,105,54,2000,2,3,10011,L003,13,15,5700,1,5, ,108 5 AVENUE,C6-4M, , , , , , , , , ,N,RM,4,0, ,108 5TH AVE CONDOMINI,5896,60752,5400,55352,0,5400,0,0,0,0,2,1,21,50,51,73,80,0,0, ,0,N,5,5,1509300,9987306,38170,38170,1986,0,0,Ladies' Mile Historic District, ,10.3,10,10,10,1,1008177501,359,54,986178,207891,12c, ,102 033,10306, ,1008170053,1/7/1987,1, , ,17V1.1,7,318.5497668,6312.91964,8478010,7,0,5805,5805,28,6300,30.80200005,40.65777588,9.855775833,33.96376971,3.969468367,950.9855518 +5806,MN,92,13,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,55 ANN STREET,C6-4, , , , , ,LM, , , ,N,K4,4,0, ,LITTLE ANN LLC,1429,4862,1862,3000,0,1862,0,0,0,0,2,1,4,3,4,19,77.25,19,77, ,3,Y,5,2,102600,434700,0,0,1920,0,0, , ,3.4,10,10,10,1,1000920013,0,1501,982430,198071,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,196.1908351,1550.545186,332100,4,0,5806,5806,5,1125,34.5909996,34.5909996,0,34.5909996,0,172.954998 +5807,MN,205,2,102,41,4002,2,1,10013,L006,5,15,6800,1,2, ,102 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,O5,5,0, ,YAN KAN WONG REALTY C,2500,7100,7100,0,4600,2500,0,0,0,0,2,1,3,0,7,50,50,50,50, ,2,N,3,2,481500,1016550,0,0,1920,1988,0, , ,2.84,6.02,6,6.5,1,1002050002,0,41,984717,200583,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,203.2688861,2579.030666,535050,14,0,5807,5807,11,2475,31.4109993,32.13777542,0.726776123,31.47706985,0.208933445,346.2477684 +5808,MN,641,10,102,79,2000,2,3,10014,L005,6,15,6100,1,2,3B,128 JANE STREET,C1-7A,C1-6A, , , , , , , , ,Y,D4,3,0, ,HARBOR HOUSE OWNERS C,8736,50820,0,50820,0,0,0,0,0,0,2,1,6,50,50,109.5,86.08,65.5,70,E,0,Y,5,2,900000,5469750,11800,11800,1930,1980,0, , ,5.82,6.02,2,6.5,1,1006410010,0,79,981792,208140,8b, ,103 014,10210, ,0, ,1, ,1,17V1.1,0,408.6881614,9592.722133,4569750,8,1,5808,5808,51,11475,7.717777729,8.220000267,0.502222538,8.000627536,0.070839756,408.0320044 +5809,MN,608,17,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,144 WEST 13 STREET,R6, , , , , , , , , ,N,W8,8,0,X,THE CITY COUNTRY SCHO,7365,11970,11970,0,0,0,0,0,0,11970,2,3,4,0,1,71.25,103.25,71.25,42, ,0,N,5,5,1044000,1662300,1044000,1662300,1920,0,0,Greenwich Village Historic District, ,1.63,2.43,0,4.8,1,1006080017,0,71,984410,207893,12c, ,103 027,10209, ,1006080070,4/26/1985,1, , ,17V1.1,0,357.8753518,7692.487117,618300,8,0,5809,5809,34,7650,24.04400063,28.87111092,4.827110291,25.97000677,1.859957782,882.9802303 +5810,MN,861,4,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,309 5 AVENUE,C5-2, , , , , , , , , ,N,D7,4,0, ,MEPT 309 FIFTH AVENUE,8400,175687,5167,170520,0,5167,0,0,0,0,2,1,35,165,166,56,150,56,120, ,1,N,5,0,1350000,22634100,0,8378080,2008,2007,0, , ,20.92,10,10,10,1,1008610004,0,74,988318,211327,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,428.0652118,8938.637001,21284100,10,0,5810,5810,40,9000,38.80799866,42.87555695,4.067558289,38.90968761,0.635047334,1556.387505 +5811,MN,539,31,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,211 THOMPSON STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,211 THOMPSON OWNER CO,10000,55800,2500,53300,0,2500,0,0,0,0,2,1,6,96,97,100,100,100,100, ,3,N,5,2,1309500,6503850,44840,44840,1930,1975,0,South Village Historic District, ,5.58,3.44,0,6.5,1,1005390031,0,65,984374,204852,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,400.9414066,10046.71472,5194350,9,0,5811,5811,46,10350,25.23555565,25.23555565,0,25.23555565,0,1160.83556 +5812,MN,567,13,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,14 EAST 10 STREET,R7-2, , , , , , , , , ,N,C2,2,0, ,BLUM PARTNERS LLC,2307,4626,0,4626,0,0,0,0,0,0,2,1,4,6,6,25,92.25,25,48, ,3,N,5,5,146115,549222,0,0,1910,0,0,Greenwich Village Historic District, ,2.01,3.44,0,6.5,1,1005670013,0,59,985715,206281,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,240.4396652,2323.661872,403107,8,0,5812,5812,10,2250,29.25900078,31.8022213,2.54322052,29.86196709,0.945231134,298.6196709 +5813,MN,144,7501,101,33,3022,2,1,10013,E007,1,15,7700,3,1, ,42 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,OWNER / AGENT,2044,14900,7300,7600,0,7300,0,0,0,0,2,1,6,4,6,25,77,24.75,76.5, ,0,Y,5,5,142006,942935,25289,27406,1915,0,0,Tribeca West Historic District, ,7.29,6.02,6,6.5,1,1001447501,57,33,981816,200569,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,7,217.3750008,2116.693834,800929,14,0,5813,5813,9,2025,11.09777832,11.09777832,0,11.09777832,0,99.88000488 +5814,MN,414,27,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,280 BROOME STREET,C4-4A, , , , , , , , , ,N,M1,8,0,X,"KEDUSHA, KEHILA OF JA",1500,1340,1340,0,0,0,0,0,0,1340,2,1,1,0,1,20,75,20,66, ,3,N,5,2,78750,182700,78750,182700,1920,0,0, ,KEHILA KADOSHA JANINA SYNAGOGUE,0.89,4,4,4,1,1004140027,0,18,986696,201077,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,194.6548416,1563.168224,103950,13,0,5814,5814,7,1575,37.8544426,41.49777985,3.64333725,39.30909511,1.60106327,275.1636658 +5815,MN,568,11,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,16 EAST 11 STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,16 EAST 11TH ST. COR,5234,18616,0,18616,0,0,0,0,0,0,2,1,5,17,17,55.17,94.83,55,89, ,3,N,5,1,299250,1614150,30305,30305,1900,0,0,Greenwich Village Historic District, ,3.56,3.44,0,6.5,1,1005680011,0,61,985812,206513,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,303.1420121,5331.106137,1314900,8,0,5815,5815,24,5400,30.95599937,34.09444427,3.138444901,31.27520331,0.726432846,750.6048794 +5816,MN,461,16,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,216 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,KELLYCO LLC,2425,8840,1500,7340,0,1500,0,0,0,0,2,1,5,8,10,25,97,25,74,E,3,N,5,2,45744,169417,0,0,1940,0,0, , ,3.65,4,0,4,1,1004610016,0,38,987023,204424,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.2892528,2528.587289,123673,1,0,5816,5816,11,2475,36.55199814,39.86222076,3.310222626,37.43458418,1.441521507,411.780426 +5817,MN,615,8,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,315 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,SAKAMOTO RYUICHI,1503,3372,0,2569,0,0,0,0,0,0,2,1,3,1,1,20,75.17,20,48,E,3,N,5,1,46332,232243,0,0,1915,1996,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1006150008,0,77,983248,207911,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,197.7790934,1646.697275,185911,8,0,5817,5817,7,1575,23.05999947,23.05999947,0,23.05999947,0,161.4199963 +5818,MN,420,45,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,150 FORSYTH STREET,C4-4A, , , , , , , , , ,N,D7,4,0, ,NEW YORK SHUN ON REAL,2500,10000,4000,6000,1500,2500,0,0,0,0,2,1,6,9,11,25,100.42,25,100, ,0,N,5,5,288000,1080900,0,0,1995,0,0, , ,4,4,4,4,1,1004200045,0,18,986607,201737,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,256.9238493,2547.000643,792900,13,0,5818,5818,11,2475,42.17966461,42.23899841,0.059333801,42.23360443,0.017057269,464.5696487 +5819,MN,766,7501,104,81,2001,2,3,10011,L012,10,15,5600,1,4, ,252 WEST 17 STREET,C6-2A, , , , , , , , , ,N,R4,3,0, ,252 W 17TH CONDO,3525,15090,0,15090,0,0,0,0,0,0,2,1,9,16,16,52,74,0,0, ,0,Y,5,5,272698,1956149,26224,47205,1985,1985,0, , ,4.28,6.02,6,6.5,1,1007667501,276,81,984104,209319,8d, ,103 033,10304, ,1007660074,3/11/1986,1, , ,17V1.1,7,253.2736212,3855.917555,1683450,7,0,5819,5819,18,4050,21.88888931,23.24333382,1.354444504,22.02685229,0.392024828,396.4833412 +5820,MN,771,68,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,258 WEST 22 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,WEST 22ND STREET ASSO,7406,30375,0,30375,0,0,0,0,0,0,2,1,5,39,39,75,98.75,75,88, ,3,N,5,2,437850,2913750,0,0,1920,0,0, , ,4.1,4,0,4,1,1007710068,0,87,984726,210369,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,352.4982086,7606.828265,2475900,7,0,5820,5820,34,7650,21.99111176,24.00888824,2.017776489,22.15176526,0.519143698,753.1600189 +5821,MN,440,7502,103,34,4001,1,2,10009,L011,9,14,6200,4,3, ,407 EAST 12 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,R4,3,0, , ,8490,30462,0,30462,0,0,0,0,0,0,2,1,5,27,27,48.58,58,0,0, ,0,Y,0,5,231747,3197249,11800,11800,1900,0,0, , ,3.59,4,0,4,1,1004407502,1264,34,989013,205254,12c, ,102 028,10205, ,1004400055,12/24/2002,1, , ,17V1.1,7,476.9638558,9370.262061,2965500,12,0,5821,5821,42,9450,16.59444427,18.24200058,1.647556305,17.72152946,0.690900017,744.3042374 +5822,MN,720,79,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,464 WEST 23 STREET,R7B, , , ,C2-5, , , , , ,N,C1,2,0, ,464 W 23 STREET LLC,2173,6135,0,6135,0,0,0,0,0,0,2,1,4,10,10,22,98.75,22,54, ,3,N,5,1,122690,574502,0,0,1920,1978,0,Chelsea Historic District Extension, ,2.82,3,0,3,1,1007200079,0,93,983160,211532,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,249.2144647,2277.207811,451812,2,1,5822,5822,9,2025,9.369999886,9.369999886,0,9.369999886,0,84.32999897 +5823,MN,72,12,101,15.02,2011,2,1,10038,E004,1,15,7700,1,1, ,161 FRONT STREET,C5-3, , , , , ,LM, , , ,N,H2,5,0, ,SEAPORT HEIGHTS LLC,3020,70044,0,0,0,0,0,0,0,0,2,1,31,0,1,32.42,93.17,32.46,93, ,0,Y,3,2,815400,13893750,0,0,2012,0,0, , ,23.19,10,15,15,1,1000720012,0,1502,982876,196454,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,255.9730535,3068.621863,13078400,4,1,5823,5823,13,2925,5.993332863,6.058888912,0.065556049,5.998375636,0.017468678,77.97888327 +5824,MN,310,25,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,41 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,YGL REALTY CORP.,2173,10650,1700,8950,0,1700,0,0,0,0,2,1,5,16,18,24.83,87.5,25,71, ,3,N,5,2,148500,647550,0,0,1910,0,0, , ,4.9,6.02,6,6.5,1,1003100025,0,16,987110,200245,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,229.4773468,2228.922365,499050,13,0,5824,5824,9,2025,34.98799896,35.42844391,0.440444946,35.03693729,0.138418493,315.3324356 +5825,MN,502,42,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,173 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,K2,5,0, ,ROBERT M. GANS GRANTO,5507,13816,13816,0,0,0,0,13816,0,0,2,1,4,0,1,46.58,100,46.58,75,E,0,Y,5,2,351000,1210050,0,0,1900,0,0,Sullivan-Thompson Historic District, ,2.51,3.44,0,6.5,1,1005020042,0,49,983625,203406,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,350.4239767,5669.841607,859050,0,0,5825,5825,24,5400,12.81888866,14.96888924,2.150000572,13.13407393,0.708891522,315.2177744 +5826,MN,372,18,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,290 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,HENRY STREET SETTLEM,2582,37767,7827,29940,0,0,0,0,0,7827,2,1,6,53,53,22.33,105.92,0,0, ,0,N,5,5,110250,2875500,110250,2875500,2005,0,0, , ,14.63,4,0,4,1,1003720018,0,2202,989823,201998,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,262.3400148,2334.742576,2765250,1,0,5826,5826,10,2250,13.36666679,15.99444485,2.627778053,14.4336668,1.10842416,144.336668 +5827,MN,819,50,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,6 WEST 18 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,6-8 WEST 18TH STREET,4784,51889,51889,0,47349,4500,0,40,0,0,2,1,12,0,22,52,92,52,89, ,3,N,5,2,720000,5333850,0,0,1910,0,0,Ladies' Mile Historic District, ,10.85,10,10,10,1,1008190050,0,54,986245,208402,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,297.1600604,4947.308382,4613850,7,0,5827,5827,21,4725,32.36888886,37.20222092,4.833332062,32.72620101,1.150777779,687.2502213 +5828,MN,790,11,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,143 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,N4,8,0,X,CORPORATION OF THE PR,11584,33806,33806,0,0,0,0,0,0,33806,2,2,5,0,2,62.17,206.5,62,64, ,3,Y,4,5,1677600,3250800,1677600,3250800,1890,1978,0, , ,2.92,6.02,6,6.5,1,1007900011,0,81,984669,208338,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,546.1767044,11771.0037,1573200,7,0,5828,5828,51,11475,27.73777771,30.63666725,2.898889542,27.96691068,0.571914586,1426.312445 +5829,MN,285,25,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,201 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,M9,8,0,P,201 EB DEVELOPMENT II,2188,6085,6085,0,0,0,0,0,0,6085,2,1,4,0,1,25,87.5,25,57,E,3,N,5,1,199350,438750,0,0,1920,0,0, , ,2.78,3.44,0,6.5,1,1002850025,0,6,987553,199407,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,235.0195086,2292.389905,239400,13,0,5829,5829,11,2475,23.9640007,24.80666733,0.842666626,24.06998045,0.250624442,264.7697849 +5830,MN,609,43,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,517 AVENUE OF THE AMER,C6-2,C6-3A, , , , , , , , ,Y,S2,4,0,P,517 SIXTH LLC,1191,2961,1096,1865,0,1096,0,0,0,0,2,1,3,2,3,18.33,65,18.33,40,E,3,N,5,2,63089,135392,0,0,1910,0,0, , ,2.49,6.02,6,6.5,1,1006090043,0,71,984977,207817,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,171.3024634,1198.700116,72303,8,0,5830,5830,7,1575,25.65555573,25.65555573,0,25.65555573,0,179.5888901 +5831,MN,795,67,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,148 WEST 20 STREET,C6-3A, , , , , , , , , ,N,G1,10,0, ,SERVWEL GARAGE COMPAN,4265,20215,20215,0,0,0,20215,0,0,0,2,1,5,0,1,44,94,44,86, ,2,Y,5,2,450000,2487150,0,0,1951,0,0, , 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+5842,MN,613,38,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,37 PERRY STREET,R6, , , , , , , , , ,N,C3,2,0, ,THOREN REALTY CORPOPR,2516,6750,510,6240,0,510,0,0,0,0,2,1,4,4,4,34,74,34,64,E,3,N,5,5,258877,547357,0,0,1915,1987,0,Greenwich Village Historic District, ,2.68,2.43,0,4.8,1,1006130038,0,73,983495,207347,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,220.0196872,2551.833796,288480,8,0,5842,5842,11,2475,25.34199905,27.84111023,2.499111176,25.78981729,0.950090715,283.6879902 +5843,MN,846,29,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1B,31 EAST 17 STREET,C6-4,M1-5M, , , , ,US, , , ,Y,K2,5,0,P,"FOUR ROSES,",5262,10166,10166,0,5083,5083,0,0,0,0,2,1,2,0,2,28,184,24,182, ,3,N,4,2,2367000,5414400,0,0,1938,0,0, , ,1.93,10,10,10,1,1008460029,0,52,987124,207860,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,438.3894963,5401.126389,3047400,7,0,5843,5843,25,5625,41.2211113,41.65355682,0.432445526,41.50970566,0.064773685,1037.742641 +5844,MN,450,42,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,65 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,QUAD REALTY LLC,2571,10980,2000,8980,0,2000,0,0,0,0,2,1,5,20,21,25,102.83,25,89, ,3,N,5,1,450000,1516950,0,0,1900,1986,0, , ,4.27,4,0,4,1,1004500042,0,38,988110,204572,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.2675332,2489.239565,1066950,12,0,5844,5844,11,2475,25.4810009,27.22244453,1.741443634,25.63931396,0.500629845,282.0324535 +5845,MN,939,24,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,339 EAST 33 STREET,R8A, , , , , , , , , ,N,C4,2,1,P,33RD STREET ACQUISITI,1975,3980,0,3980,0,0,0,0,0,0,2,1,4,7,7,20,98.75,20,48, ,3,N,5,2,57253,243962,0,0,1901,0,0, , ,2.02,6,0,6,1,1009390024,0,70,991269,210208,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,237.0520638,1810.376339,186709,10,1,5845,5845,7,1575,10.03999996,11.96555519,1.925555229,11.06571415,0.892722679,77.45999908 +5846,MN,492,31,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,208 BOWERY,C6-1, , , , , ,LI, , , ,N,L8,6,0, ,208 BOWERY RLTY CORP,1667,4032,1344,2688,0,1344,0,0,0,0,2,1,3,3,4,16.67,100,17,74,E,3,N,5,0,123750,284850,0,0,1920,0,0, , ,2.42,3.44,6,6.5,1,1004920031,0,43,985936,202189,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,242.413488,1862.057693,161100,0,0,5846,5846,8,1800,39.76666641,42.78933334,3.022666931,40.14449978,0.999653125,321.1559982 +5847,MN,929,1,106,64,6000,2,2,10010,E016,13,14,5900,1,6,1B,401 1 AVENUE,C1-9A,R8,C1-9, ,C2-5, ,TA, , , ,Y,D4,3,0,P,EAST MIDTOWN PLAZA,104861,927591,154234,773357,0,40140,100472,13622,0,0,2,6,27,510,522,138,650,179,625, ,2,Y,4,2,9720000,66948300,9720000,66948300,1970,0,0, , ,8.85,10,2,10,1,1009290001,0,64,989916,208059,12c,Y,104 009,10309, ,0, ,1, , ,17V1.1,0,2072.886047,110360.3626,57228300,11,0,5847,5847,489,110025,13.73444462,23.56111145,9.826666832,17.64528429,2.206949964,8628.544016 +5848,MN,940,52,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,314 EAST 35 STREET,R8, , , , , , , , , ,N,I7,8,0, ,YOUNG ADULT INSTITUTE,4938,11070,11070,0,0,0,0,0,11070,0,2,1,3,0,0,50,98.75,40,89, ,0,N,5,5,422550,1029600,422550,978300,1910,0,0, , ,2.24,6.02,0,6.5,1,1009400052,0,78,991292,210649,8d, ,104 024,10309, ,0, ,1, , ,17V1.1,0,300.7205712,5013.475462,607050,10,1,5848,5848,21,4725,8.051111221,14.63444424,6.583333015,8.797539756,1.936644578,184.7483349 +5849,MN,722,17,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,437 WEST 24 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,BRONNIE KUPRIS,2057,3360,0,2520,0,0,0,0,0,0,2,1,3,2,2,20.83,98.75,20.83,42, ,3,N,5,1,62380,158428,62380,82594,1910,0,0, ,437 WEST 24TH STREET HOUSE,1.63,3,0,3,1,1007220017,0,93,983608,211801,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,244.1761967,1972.969434,96048,2,1,5849,5849,9,2025,10.68099976,10.91844463,0.237444878,10.70738252,0.074621726,96.36644268 +5850,MN,398,25,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,190 EAST 3 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,HIGHPOINT ASSOCIATES,2542,10656,0,10656,0,0,0,0,0,0,2,1,5,23,23,24,105.92,24,74, ,3,N,5,1,242100,713250,0,0,1912,1986,0, , ,4.19,4,0,4,1,1003980025,0,3002,988762,202588,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,264.5310637,2620.049156,471150,1,0,5850,5850,12,2700,19.43000031,21.64111137,2.211111069,19.68703747,0.592509133,236.2444496 +5851,MN,387,15,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,610 EAST 5 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,610-12 E 5 ST HDFC,3444,17868,400,17468,0,400,0,0,0,0,2,1,6,23,24,35.75,96.17,36,84, ,1,N,5,2,180000,644850,180000,367557,1900,1994,0, , ,5.19,4,0,4,1,1003870015,0,2601,989355,202841,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,269.0372183,3578.046097,464850,1,1,5851,5851,17,3825,14.04500008,15.68777752,1.642777443,14.18970596,0.420825101,241.2250013 +5852,MN,626,34,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,36 HORATIO STREET,R6, , , , , , , , , ,N,C4,2,0, ,"ISEMAN, JOSEPH S",2181,8655,0,8655,0,0,0,0,0,0,2,1,5,16,16,24.92,87.5,25,73, ,3,N,5,2,294300,799650,0,0,1910,0,0,Greenwich Village Historic District, ,3.97,2.43,0,4.8,1,1006260034,0,77,982942,208357,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,230.9861554,2234.079202,505350,8,0,5852,5852,6,1350,17.68444443,17.68444443,0,17.68444443,0,106.1066666 +5853,MN,489,11,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,77 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"JAG REALTY GROUP, LTD",2500,10013,800,9213,0,800,0,0,0,0,2,1,5,8,9,25,100,25,74, ,3,N,5,2,74061,224152,0,0,1900,1985,0,Sullivan-Thompson Historic District, ,4.01,3.44,0,6.5,1,1004890011,0,47,983244,203258,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,257.1134068,2567.089596,150091,0,1,5853,5853,11,2475,9.686666489,11.10999966,1.423333168,9.816060413,0.409179516,107.9766645 +5854,MN,399,50,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,175 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,175-177 EAST THIRD ET,2380,6825,1000,5825,0,1000,0,0,0,0,2,1,5,8,10,24.75,96.17,25,54, ,3,N,5,2,10112,57597,0,0,1900,1983,0, , ,2.87,4,0,4,1,1003990050,0,32,988668,202822,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.0684747,2475.868095,47485,1,0,5854,5854,11,2475,18.04222298,22.48111153,4.43888855,19.24484894,1.656811044,211.6933384 +5855,MN,905,30,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,429 2 AVENUE,C1-8A, , , , , , , , , ,N,I9,8,0, ,SPEISER LP,2394,7220,7220,0,7220,0,0,0,0,0,2,1,3,0,2,39.5,60.58,39.5,40,E,3,N,5,2,990000,3710250,0,0,1925,0,0, , ,3.02,7.52,2,7.5,1,1009050030,0,66,989678,208520,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,200.8743438,2370.846805,2720250,11,0,5855,5855,10,2250,26.78800011,26.78800011,0,26.78800011,0,267.8800011 +5856,MN,597,55,102,37,1012,2,3,10014,E024,1,15,6800,1,2,1B,333 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O9,5,0,P,33 HUDSON STREET,10066,101290,101290,0,99790,1500,0,0,0,0,2,1,10,0,11,100.62,100.1,100,100, ,3,Y,3,2,846000,7798950,0,0,1925,2007,2007, , ,10.06,0,10,10,1,1005970055,0,37,982119,204191,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,413.0987966,10662.52355,6952950,0,1,5856,5856,47,10575,10.99400043,14.88111115,3.88711071,11.15838812,0.646410541,524.4442415 +5857,MN,394,28,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,638 EAST 12 STREET,R8B, , , , , , , , , ,N,F5,6,0,P,432 E 11 ST CORP,2237,4532,4532,0,0,0,0,0,4532,0,2,2,3,0,1,21.67,103.25,21.67,103.25, ,0,N,5,5,67950,255150,0,0,1958,2004,0, , ,2.03,4,0,4,1,1003940028,0,28,990434,204251,12c, ,102 030,10203,E-216,0, ,1,1,1,17V1.1,0,252.7875173,2335.143017,187200,12,1,5857,5857,11,2475,8.670000076,9,0.329999924,8.711010153,0.094445565,95.82111168 +5858,MN,465,10,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,106 EAST 10 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,106 & 110 EAST TENTH,1373,3315,0,3315,0,0,0,0,0,0,2,1,4,2,2,22,64,22,46, ,3,Y,5,2,71488,286201,0,0,1900,2014,0,St. Mark's Historic District, ,2.41,4,0,4,1,1004650010,0,40,987402,205364,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,174.9763124,1428.782701,214713,12,0,5858,5858,6,1350,33.48777771,35.34155655,1.853778839,33.79674085,0.690862583,202.7804451 +5859,MN,164,65,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,26 MULBERRY STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,WONG'S MILLENNIUM COR,1120,5265,2632,2633,0,2632,0,0,0,0,2,1,5,4,6,20.25,56,20,52, ,3,Y,5,2,33750,448200,0,0,1910,1989,2003, , ,4.7,3.44,6,6.5,1,1001640065,0,29,984412,199517,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,158.2592018,1206.629681,414450,14,0,5859,5859,5,1125,25.58300018,25.58300018,0,25.58300018,0,127.9150009 +5860,MN,107,42,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,23 PECK SLIP,C6-2A, , , , , ,LM, , , ,N,D7,4,0, ,257 WATER STREET LLC,5866,25903,5280,20623,0,5280,0,0,0,0,2,2,6,20,24,43,101,41,52, ,3,Y,3,2,481500,3811950,0,0,1900,1983,0,South Street Seaport Historic District, ,4.42,6.02,6,6.5,1,1001070042,0,1501,983827,197339,12b, ,101S023,10103, ,1001070043,1/9/1985,1,1,1,17V1.1,0,377.1101097,6292.737957,3330450,4,1,5860,5860,28,6300,6.452000141,7.474444389,1.022444248,6.549889003,0.25608596,183.3968921 +5861,MN,178,22,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,3 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0,P,NUR ASHKI JERRAHI COM,5876,32803,5500,27303,0,5500,0,0,0,0,2,1,6,12,13,50,100.5,50,84, ,3,Y,5,2,486000,2536200,0,0,1918,0,0,Tribeca East Historic District, ,5.58,6.02,6,6.5,1,1001780022,0,33,982596,201262,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,380.3174882,6262.168351,2050200,14,1,5861,5861,28,6300,9.793333054,11.25222206,1.458889008,9.957015651,0.378653585,278.7964382 +5862,MN,463,41,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,33 EAST 7 STREET,R8B, , , , , , , , , ,N,S9,4,0, ,ORDER OF ST BASIL THE,1875,6180,0,4665,0,0,0,0,0,0,2,1,4,3,5,25,75,25,74, ,2,N,5,1,91405,241542,19573,87955,1900,0,0,East Village/Lower East Side Historic Di, ,3.3,4,0,4,1,1004630041,0,38,987323,204698,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,205.7103749,1946.368793,150137,12,0,5862,5862,9,2025,34.15777969,34.15777969,0,34.15777969,0,307.4200172 +5863,MN,203,20,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,84 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,O5,5,0, ,GREAT EMPIRE 84 BOWER,2830,14250,14250,0,11420,2830,0,0,0,0,2,1,6,0,14,25.42,111.17,25,107, ,3,N,5,2,217800,1090350,0,0,1915,2000,0, , ,5.04,3.44,6,6.5,1,1002030020,0,41,985374,200542,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,281.1935218,2939.798106,872550,0,0,5863,5863,13,2925,40.21222305,40.21222305,0,40.21222305,0,522.7588997 +5864,MN,764,30,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,215 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C5,2,0, ,"TAWIL, MARILYN",3000,7970,1670,6300,0,1670,0,0,0,0,2,1,5,16,17,25,120,25,68, ,3,N,5,2,202500,650250,0,0,1920,0,0, , ,2.66,6.02,6,6.5,1,1007640030,0,81,984181,208559,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,306.5729832,3101.93233,447750,7,0,5864,5864,14,3150,24.42199898,26.17111015,1.749111176,25.00501524,0.655114648,350.0702133 +5865,MN,526,67,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,184 SULLIVAN STREET,R7-2, , , , , , , , , ,N,A5,1,0, ,"EDV SULLIVAN, LLC",2252,3120,0,3120,0,0,0,0,0,0,2,1,3,1,1,22.5,100.08,22.5,45, ,3,N,5,2,63679,257472,0,0,1910,2005,0,MacDougal-Sullivan Gardens Historic Dist, ,1.39,3.44,0,6.5,1,1005260067,0,65,983967,204682,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,249.7649594,2311.578439,193793,9,0,5865,5865,10,2250,23.22699928,23.94444466,0.717445374,23.55902195,0.298023892,235.5902195 +5866,MN,615,7501,102,77,5000,2,3,10014,Q018,6,15,6100,3,2, ,274 WEST 12 STREET,R6, , , , , , , , , ,N,R1,2,0, , ,1532,4218,0,4218,0,0,0,0,0,0,2,1,5,6,6,16.58,92.42,16.58,80, ,0,Y,0,5,50832,416245,10760,15610,1915,0,0,Greenwich Village Historic District, ,2.75,2.43,0,4.8,1,1006157501,1274,77,983294,207918,12a, ,103 016,10209, ,1006150011,8/29/2003,1, , ,17V1.1,7,219.1416323,1495.315395,365413,8,0,5866,5866,7,1575,23.05999947,23.05999947,0,23.05999947,0,161.4199963 +5867,MN,615,3,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,305 WEST 4 STREET,R6, , , , , , , , , ,N,C2,2,0, ,M CHRISTINE BOYER,1452,3207,0,3207,0,0,0,0,0,0,2,1,3,5,5,20,73.08,20,48, ,3,Y,5,5,243340,406606,0,0,1915,1968,0,Greenwich Village Historic District, ,2.21,2.43,0,4.8,1,1006150003,0,77,983263,207811,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,193.2351163,1589.037646,163266,8,0,5867,5867,6,1350,23.05999947,24.60000038,1.540000916,23.3955555,0.565694558,140.373333 +5868,MN,795,44,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,641 AVENUE OF THE AMER,C6-2A,C6-3A, , , , , , , , ,Y,O6,5,0, ,641 SIXTH FEE OWNER L,18491,149885,149885,0,121885,28000,0,0,0,0,2,1,8,0,7,120.33,153.67,118,153, ,0,N,3,5,7380000,25210800,0,0,1902,0,0,Ladies' Mile Historic District, ,8.11,6.02,6,6.5,1,1007950044,0,87,985709,209237,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,587.4135119,21159.754,17830800,7,0,5868,5868,93,20925,27.66555595,33.53555679,5.870000839,27.97207207,1.172853851,2601.402702 +5869,MN,163,30,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,49 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,49 BAYARD ST CORP,2100,8084,1500,6584,0,1500,0,0,0,0,2,1,5,18,20,25.08,84.08,25,72, ,3,Y,5,2,141750,305100,0,0,1915,1988,0, , ,3.85,3.44,6,6.5,1,1001630030,0,29,984932,199806,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,215.5280474,2022.079416,163350,14,0,5869,5869,8,1800,33.5909996,38.89666748,5.305667877,34.25420809,1.754684718,274.0336647 +5870,MN,462,35,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,223 EAST 6 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,210 W 251 LLC,17727,91680,0,91680,0,0,0,0,0,0,2,1,6,86,86,191.17,90.88,191.2,80, ,0,N,5,5,2430000,9048600,0,1667970,1996,0,0, , ,5.17,4,0,4,1,1004620035,0,38,987247,204472,12c, ,102 018,10205, ,1004620029,1/5/1996,1, , ,17V1.1,0,566.5956048,17755.29935,6618600,1,0,5870,5870,78,17550,35.00777817,40.01333237,5.005554199,36.58121398,2.039820194,2853.33469 +5871,MN,826,11,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,49 WEST 24 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,49 W 24 ST TENANTS CO,4551,41800,38000,3800,34200,3800,0,0,0,0,2,1,11,1,13,45,98.75,45,92,E,2,Y,5,2,900000,2733300,0,0,1915,2013,0, , ,9.18,0,10,10,1,1008260011,0,58,986614,210136,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,286.5784628,4369.546717,1833300,2,0,5871,5871,18,4050,33.45800018,33.45800018,0,33.45800018,0,602.2440033 +5872,MN,921,7501,106,48,5002,2,2,10003,E005,13,14,5900,1,6, ,310 EAST 15 STREET,R8A,C1-6A, , , , ,TA, , , ,Y,RM,4,0, ,OWNER / AGENT,5084,15681,5098,10583,0,0,0,0,0,5098,2,1,5,6,8,44.17,128.25,0,0, ,0,Y,5,5,140414,1300028,0,0,1910,1990,0,Stuyvesant Square Historic District, ,3.08,6,0,6,1,1009217501,762,48,988666,206184,12c, ,102 037,10309, ,1009210058,9/17/1991,1, , ,17V1.1,7,353.8114719,5341.09932,1159610,5,0,5872,5872,25,5625,21.21777725,25.31333351,4.095556259,22.23229752,1.531236364,555.8074379 +5873,MN,863,48,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,64 EAST 34 STREET,C5-2,C5-3, , , , , , , , ,Y,K4,4,0, ,JEMSTONE 34TH STREET,4226,15380,8340,7040,2780,5560,0,0,0,0,2,3,6,13,16,43.67,98.75,43,65,E,0,N,5,5,540000,2907900,0,0,1900,0,0, , ,3.64,10,10,10,1,1008630048,0,74,989222,211457,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,296.3085758,4583.429798,2367900,10,0,5873,5873,21,4725,49.51499939,61.25444412,11.73944473,51.39708982,3.504148108,1079.338886 +5874,MN,674,1,104,99,1018,2,3,10001,E034,10,15,5500,1,4,2B,281 11 AVENUE,M2-3, , , , , , , , , ,N,U6,7,0,P,ERIC LACKAWANNA RLRDC,0,0,0,0,0,0,0,0,0,0,7,5,0,0,0,202.67,770.25,0,0, ,0,Y,5,5,0,0,0,0,0,0,0, , ,0,0,2,0,1,1006740001,0,99,982633,213578,8b, ,105S013,10301, ,0, ,1,1,1,17V1.1,0,1917.607051,151973.8798,0,6,1,5874,5874,677,152325,6.187777519,10.12244415,3.934666634,7.540688891,1.180847404,5105.046379 +5875,MN,618,7504,102,77,1000,2,3,10011,Q018,6,15,6100,3,2, ,122 GREENWICH AVENUE,C1-6,C6-2A, , , , , , , , ,Y,RM,4,0, , ,10702,60292,8716,51576,0,8509,0,0,0,207,2,1,11,30,40,53.67,154.58,150,46, ,1,Y,3,5,1440001,13757851,0,5220645,2008,0,0, , ,5.63,3.44,2,6.5,1,1006187504,2051,77,983578,208596,8b, ,103 031,10209, ,1006180001,8/26/2009,1, , ,17V1.1,7,454.7096522,10555.15578,12317900,8,0,5875,5875,47,10575,22.30444527,23.31777763,1.013332367,22.5907689,0.342162964,1061.766138 +5876,MN,459,36,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,27 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQ. HOUSING DE,2000,10500,1600,8900,0,1600,0,0,0,0,2,1,6,13,15,25,80,25,70, ,2,N,5,2,55350,310950,47048,264308,1920,1998,0,East Village/Lower East Side Historic Di, ,5.25,4,0,4,1,1004590036,0,38,986950,203764,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,217.9170279,2098.945176,255600,1,0,5876,5876,10,2250,35.86666489,35.86666489,0,35.86666489,0,358.6666489 +5877,MN,643,43,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,809 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K2,5,0,P,60-74 GANSEVOORT STRE,16580,22604,22604,0,0,22604,0,0,0,0,2,6,1,0,8,72.25,201.5,72,79.75, ,0,Y,3,5,1381500,2965950,0,0,1920,0,0,Gansevoort Market Historic District, ,1.36,0,5,6.5,1,1006430043,0,79,982153,208581,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,594.627791,17263.28374,1584450,8,1,5877,5877,78,17550,11.21500015,12.50333309,1.288332939,11.24901723,0.175239839,877.4233437 +5878,MN,875,48,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,31 GRAMERCY PARK SOUTH,R8B, , , , , , , , ,LH-1,N,C6,2,0, ,31 GRAMERCY PARK SOUT,2725,7250,0,7250,0,0,0,0,0,0,2,1,5,11,11,25,109,25,58, ,3,N,5,2,116100,893250,4720,4720,1930,0,0,Gramercy Park Historic District, ,2.66,4,0,4,1,1008750048,0,50,988361,207780,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,283.8799747,3085.64492,777150,5,0,5878,5878,14,3150,26.08200073,28.14999962,2.067998886,26.54180976,0.458402497,371.5853367 +5879,MN,450,23,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,338 EAST 9 STREET,R8B, , , , , , , , , ,N,G9,7,0, ,RISING WOLF PAARKING,2125,1075,1075,0,0,0,1075,0,0,0,2,1,1,0,1,25,85,25,48, ,3,N,5,0,90000,215100,0,0,1940,1967,2004, , ,0.51,4,0,4,1,1004500023,0,38,988156,204655,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,230.4775984,2276.682217,125100,12,0,5879,5879,11,2475,25.4810009,27.96999931,2.488998413,25.70727348,0.715536734,282.7800083 +5880,MN,618,5,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,74 8 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,1,P,CHUN WOO REALTY CORP,3680,7613,4991,2622,0,3680,0,0,0,0,2,3,2,4,7,19,23,46,80,E,0,Y,3,2,56700,933300,0,0,1930,1986,1990, , ,2.07,6.02,6,6.5,1,1006180005,0,77,983594,208683,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,259.8440925,4012.742022,876600,8,0,5880,5880,18,4050,22.30444527,22.64777756,0.343332291,22.32351928,0.078644183,401.8233471 +5881,MN,93,1,101,15.01,1014,2,1,10038,E006,1,15,7700,1,1,1B,81 FULTON STREET,C6-4, , , , , ,LM, , , ,N,O4,5,0,P,150 WILLIAM STREET AS,30332,463679,463679,0,444912,18767,0,0,0,0,2,1,20,0,24,260.44,119.75,260,120, ,1,Y,1,2,3910500,32018850,0,0,1927,1990,0, , ,15.29,10,10,10,1,1000930001,0,1501,982643,197774,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,787.7982125,33371.16095,28108400,4,0,5881,5881,150,33750,22.80111122,30.55999947,7.758888245,23.9307371,1.351099899,3589.610565 +5882,MN,572,64,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,41 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S3,4,0, ,"RASHTIAN, ALBERT",2162,6750,3300,3450,0,3300,0,0,0,0,2,1,5,3,4,23,93.92,23,86, ,3,N,5,5,291178,675928,0,0,1900,0,0,Greenwich Village Historic District, ,3.12,3.44,3.4,6.5,1,1005720064,0,63,984738,206432,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,241.2981851,2242.3439,384750,8,0,5882,5882,11,2475,18.70499992,20.54111099,1.836111069,18.90348469,0.527300872,207.9383316 +5883,MN,407,52,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,517 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,NAR APARTMENTS,2571,9785,0,9785,0,0,0,0,0,0,2,1,5,20,20,24.83,103.25,25,84, ,3,N,5,2,134550,1077750,0,0,1920,0,0, , ,3.81,4,2,4,1,1004070052,0,34,989833,205073,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,259.0052428,2555.503385,943200,12,1,5883,5883,11,2475,11.62699986,11.62699986,0,11.62699986,0,127.8969984 +5884,MN,612,29,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,152 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,C7,4,0, ,152-54 SEVENTH AVENUE,1960,7235,1960,5275,0,1960,0,0,0,0,2,1,5,12,14,42.5,95.92,25,57, ,3,Y,5,2,214650,1009350,0,304871,1900,2003,0,Greenwich Village Historic District, ,3.69,3.44,2,6.5,1,1006120029,0,73,983660,207162,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,230.0629193,1953.344962,794700,8,0,5884,5884,8,1800,24.50222206,24.50222206,0,24.50222206,0,196.0177765 +5885,MN,851,7503,105,56,2001,2,2,10010,E014,13,15,5700,1,5, ,11 EAST 22 STREET,C6-4M, , , , , , , , , ,N,RM,4,0, , ,2668,17091,7466,9625,3843,3623,0,0,0,0,2,1,8,5,8,26,98.75,0,0, ,0,N,5,5,315374,2169558,4720,4720,1901,0,0, , ,6.41,10,10,10,1,1008517503,1306,56,987374,209076,8d, ,104 003,10306, ,1008510012,12/24/2003,1, , ,17V1.1,7,260.7146487,2645.755139,1854180,11,0,5885,5885,11,2475,32.49111176,38.74222183,6.251110077,33.05939449,1.797067795,363.6533394 +5886,MN,325,25,103,10.02,3005,1,2,10002,L018,7,14,7600,1,3,3A,123 MANGIN STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,20565,93570,93570,0,0,0,0,0,0,93570,2,1,5,0,0,205.67,100,205.67,100, ,0,Y,5,5,773100,4195350,773100,4195350,1915,1952,0, , ,4.55,3.44,0,6.5,1,1003250025,0,1002,990877,200964,12c, ,102 008,10201, ,0, ,1,1,1,17V1.1,0,616.5788595,20875.13896,3422250,1,1,5886,5886,93,20925,7.848888874,12.02999973,4.181110859,7.978434875,0.680086001,741.9944434 +5887,MN,443,32,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,27 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,27 FIRST AVE CORP,2500,9424,1885,7539,0,1885,0,0,0,0,2,1,5,15,16,25,100,25,70, ,3,N,5,2,167850,615150,0,0,1910,0,0, , ,3.77,4,0,4,1,1004430032,0,3602,987451,202991,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,254.5416943,2517.814143,447300,1,0,5887,5887,13,2925,31.19000053,34.31111145,3.121110916,31.74965844,1.034653793,412.7455597 +5888,MN,914,18,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,237 EAST 33 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,237/9 OWNERS LLC C/O,1819,6078,0,6078,0,0,0,0,0,0,2,1,4,10,10,18.33,98.75,18,74,E,3,N,5,1,134059,532758,0,0,1926,1957,0, , ,3.34,4,0,4,1,1009140018,0,70,990606,210573,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,241.0238065,1837.38451,398699,10,0,5888,5888,9,2025,17.92555618,19.6855545,1.759998322,18.24535836,0.617121637,164.2082253 +5889,MN,614,14,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,36 BANK STREET,R6, , , , , , , , , ,N,B1,1,0, ,TOWNHOUSE NO. 36 LLC,1800,4320,0,3240,0,0,0,0,0,0,2,1,2,2,2,20,90.83,20,42,E,3,Y,5,1,68638,197971,0,0,1899,2007,0,Greenwich Village Historic District, ,2.4,2.43,0,4.8,1,1006140014,0,77,983445,207700,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,229.6261095,1943.572424,129333,8,0,5889,5889,8,1800,26.80333328,28.45666695,1.653333664,27.00999999,0.546788714,216.0799999 +5890,MN,692,11,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,537 WEST 20 STREET,M1-5,C6-3, , , , ,WCH, , , ,Y,O5,5,0, ,"DZ 20TH STREET, LLC",9200,24289,24289,0,14696,9593,0,0,0,0,2,1,5,0,0,100,92,0,0, ,0,N,5,5,1129500,3257550,0,0,2011,0,0, , ,2.64,0,5,6.5,1,1006920011,0,99,982250,211343,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,388.7957383,9438.502194,2128050,7,1,5890,5890,42,9450,7.123000145,7.123000145,0,7.123000145,0,299.1660061 +5891,MN,608,68,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,157 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,12TH STREET TOWNHOUSE,2151,3200,0,2400,0,0,0,0,0,0,2,2,3,1,1,20.83,103.25,20.83,40,E,3,N,5,1,17417,186129,0,0,1899,2005,0,Greenwich Village Historic District, ,1.49,2.43,0,4.8,1,1006080068,0,71,984390,207781,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,256.8326724,2267.094218,168712,8,0,5891,5891,10,2250,24.04400063,29.45444489,5.41044426,26.19126682,1.962905701,261.9126682 +5892,MN,379,14,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,410 EAST 10 STREET,R8B, , , , , , , , , ,N,L9,6,0, ,R K HOLDING CORP,1845,8600,3440,5160,1720,0,1720,0,0,0,2,1,5,2,3,20,92.25,20,86, ,3,N,5,0,112500,498150,0,0,1920,0,0, , ,4.66,4,0,4,1,1003790014,0,28,990630,203557,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,227.7020388,1839.847213,385650,12,1,5892,5892,8,1800,7.409999847,7.470221996,0.060222149,7.417527616,0.019916604,59.34022093 +5893,MN,407,38,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,545 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,DORA COLLAZO PLAZA LT,1378,5130,0,5130,0,0,0,0,0,0,2,1,5,8,8,30,45.92,30,36, ,0,N,5,5,82459,366353,0,283315,1900,1997,0, , ,3.72,4,2,4,1,1004070038,0,34,990127,204877,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,156.7742664,1458.461625,283894,12,1,5893,5893,6,1350,11.62699986,12.44566631,0.818666458,11.9012777,0.337689137,71.40766621 +5894,MN,576,7504,102,63,1001,2,3,10011,L003,6,15,5700,3,2, ,36 WEST 13 STREET,C6-2,R6, , , , , , , , ,Y,RM,4,0, ,RAMBUSHI CONDOMINIUM,6620,29164,8940,20224,0,8940,0,0,0,0,2,1,7,7,9,60.2,101.6,0,0, ,0,Y,0,5,284047,2191994,129390,465367,1920,0,0, , ,4.41,6.02,6,6.5,1,1005767504,1048,63,985307,207393,12c, ,103 020,10207, ,1005760020,3/19/1999,1, , ,17V1.1,7,364.8024834,6731.348039,1907950,8,0,5894,5894,30,6750,23.70299912,28.71888924,5.015890121,24.19695848,1.482253949,725.9087543 +5895,MN,921,16,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,327 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C5,2,0,P,327 E. 14TH REALTY C,2386,5431,0,5431,0,0,0,0,0,0,2,1,5,11,11,23.08,103.25,23,56,E,3,N,5,2,144000,618750,0,0,1910,1962,0, , ,2.28,4,2,4,1,1009210016,0,48,988791,206001,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,261.1771001,2520.011484,474750,12,0,5895,5895,12,2700,22.90500069,26.15222168,3.247220993,24.13194466,1.267483786,289.5833359 +5896,MN,861,76,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,313 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,313 FIFTH AVENUE OWNE,4200,11700,11700,0,5400,4200,0,2100,0,0,2,1,4,0,4,28,150,28,148, ,3,N,5,2,540000,2078100,0,0,1925,0,0, , ,2.79,10,10,10,1,1008610076,0,74,988339,211366,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,375.3506709,4829.296339,1538100,10,0,5896,5896,22,4950,38.80799866,43.13666534,4.328666687,39.18535233,1.19450033,862.0777512 +5897,MN,546,40,102,57,2002,2,1,10003,L009,6,15,5700,1,2,2A,699 BROADWAY,C6-2, , , , , , , , , ,N,W6,8,0,X,HEBREW UNION COLLEGE,17287,85000,85000,0,0,0,0,0,0,85000,2,1,5,0,1,93.42,200,93.42,200, ,3,Y,3,0,3028500,5986350,3028500,5986350,1910,0,0,NoHo Historic District, ,4.92,6.02,6,6.5,1,1005460040,0,57,985766,204792,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,611.0671978,18407.9013,2957850,9,0,5897,5897,81,18225,38.72222137,40.16222382,1.440002441,39.22922549,0.157714011,3177.567265 +5898,MN,742,39,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,171 8 AVENUE,C1-6A, , , , , , , , , ,N,J2,5,0, ,THE JOYCE THEATER FOU,7256,6742,6742,0,0,0,0,0,0,6742,2,1,3,0,1,69.67,104,70,100, ,3,Y,3,2,697500,1436400,697500,1360800,1942,1983,0, , ,0.93,4,2,4,1,1007420039,0,89,984055,209905,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,348.8988597,7322.382602,738900,7,0,5898,5898,32,7200,15.59444427,21.05555534,5.461111069,16.03987485,1.409650417,513.2759953 +5899,MN,586,45,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,29 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,D7,4,0, ,"ROKA,",4257,25542,4400,21142,0,4400,0,0,0,0,2,1,7,12,15,160.29,67.76,160,40, ,3,Y,5,2,787500,3513600,0,0,1998,0,0,Greenwich Village Historic District Exte, ,6,3.44,2,6.5,1,1005860045,0,67,983123,205575,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,392.1694429,4457.330461,2726100,9,0,5899,5899,19,4275,15.38333321,15.44066715,0.057333946,15.38635078,0.012802491,292.3406649 +5900,MN,830,30,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,13 WEST 28 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,"15 WEST 28, LLC",4906,40777,40777,0,36277,4500,0,0,0,0,2,1,10,0,10,50,98.75,48,96,E,2,N,5,2,1755000,4095000,0,0,1900,1987,0,Madison Square North Historic District, ,8.31,0,10,10,1,1008300030,0,76,987546,210799,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,307.7107266,5174.074036,2340000,11,0,5900,5900,22,4950,43.21222305,43.68977737,0.477554321,43.23393007,0.099474038,951.1464615 +5901,MN,229,30,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,29 GREENE STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,29 GREENE STREET LLC,1991,9819,9819,0,0,9819,0,0,0,0,2,1,6,0,1,20,100,20,96,E,3,N,5,2,166500,610200,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,4.93,0,5,6.5,1,1002290030,0,47,983491,202092,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,244.4954392,2016.134385,443700,0,1,5901,5901,9,2025,9.686666489,9.686666489,0,9.686666489,0,87.1799984 +5902,MN,715,63,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,128 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,10TH AVENUE KOSTAS LL,1875,4150,4150,0,0,4150,0,0,0,0,2,1,3,0,2,25,75,25,72, ,3,N,3,0,112500,808200,0,0,1930,2000,2012, , ,2.21,7.52,6,10,1,1007150063,0,83,982535,210494,8b, ,103 041,10302,E-142,0, ,1, ,1,17V1.1,0,216.4273522,2222.969141,695700,7,1,5902,5902,9,2025,9.883333206,11.21000004,1.326666832,10.93135802,0.522419212,98.38222218 +5903,MN,864,35,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,10 PARK AVENUE,C5-3,R10, , , , , , , , ,Y,D4,3,0,P,TEN PARK AVENUE TENAN,10000,218364,9633,208731,3633,6000,0,0,0,0,2,1,26,268,275,125,80,125,80, ,0,N,3,5,3528000,22921200,327554,327554,1932,0,0, , ,21.84,10,15,15,1,1008640035,0,74,989377,211609,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,423.2217651,10626.46432,19393200,10,0,5903,5903,48,10800,60.8769989,60.8769989,0,60.8769989,0,2922.095947 +5904,MN,588,18,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,42 GROVE STREET,R6,C1-6, , , , , , , , ,Y,C7,4,0, ,GROVE 44 ASSOCIATES L,4200,17603,4200,13403,0,4200,0,0,0,0,2,1,6,33,34,42,100,42,86, ,2,N,5,2,621000,3959550,0,0,1910,1975,0,Greenwich Village Historic District, ,4.19,2.43,0,4.8,1,1005880018,0,73,983058,206180,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,290.3935432,4312.153382,3338550,9,0,5904,5904,19,4275,18.94666672,24.09666634,5.149999619,19.80625735,1.706530928,376.3188896 +5905,MN,824,32,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,3 WEST 22 STREET,C6-4M, , , , , , , , , ,N,O6,5,0,P,CHAND REALTY ASSOC,8098,81527,81527,0,66527,7500,0,0,0,7500,2,1,10,0,10,82,98.75,82,99, ,3,N,5,2,2700000,11343600,0,0,1901,1988,2013,Ladies' Mile Historic District, ,10.07,10,10,10,1,1008240032,0,58,986855,209370,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,368.5255491,8363.032156,8643600,2,0,5905,5905,36,8100,34.46500015,34.46500015,0,34.46500015,0,1240.740005 +5906,MN,830,74,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1A,46 WEST 29 STREET,C6-4X,M1-6, , , , , , , , ,Y,D0,3,0, ,FLOWER TENANTS CORP,5266,61418,8500,52918,0,8500,0,0,0,0,2,2,14,24,27,53.33,98.75,53,99, ,3,N,5,2,810000,6990750,50670,50670,1924,1970,0, , ,11.66,10,10,10,1,1008300074,0,76,987110,211155,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,316.5096648,5753.740734,6180750,6,0,5906,5906,26,5850,44.45100021,44.54000092,0.089000702,44.45442332,0.01711552,1155.815006 +5907,MN,201,6,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,66 MOTT STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,LEUNG SING YEE CO INC,2350,4475,2000,2475,0,2000,0,0,0,0,2,1,4,3,5,25,94,22,92,E,3,Y,5,5,304846,533871,0,0,1910,0,0, , ,1.9,3.44,6,6.5,1,1002010006,0,29,984821,200164,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,238.404785,2337.046232,229025,14,0,5907,5907,11,2475,33.0379982,33.0379982,0,33.0379982,0,363.4179802 +5908,MN,578,64,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,32 DOMINICK STREET,M1-6, , , , , ,HSQ, , , ,N,A4,1,0, ,"DOMINICK HOUSE, LLC",1700,2732,0,2732,0,0,0,0,0,0,2,1,2.5,1,1,20,85,20,40,E,3,Y,5,2,165299,253315,0,0,1826,2016,2016, ,32 DOMINICK STREET HOUSE,1.61,0,10,10,1,1005780064,0,37,982417,203375,12a, ,101N065,10208, ,0, ,1, , 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SO.,11425,168200,168200,0,148400,9900,0,9900,0,0,2,1,14,0,15,114.25,100,114.25,100, ,0,N,3,2,9000000,21120300,0,0,1911,1979,0, , ,14.72,10,10,10,1,1008510035,0,56,987849,208823,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,458.7272682,13095.49625,12120300,11,0,5911,5911,57,12825,32.49111176,33.13999939,0.648887634,32.50249575,0.085190007,1852.642258 +5912,MN,772,35,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,219 WEST 22 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,219 W 22ND REALTY COR,1267,2448,0,2448,0,0,0,0,0,0,2,1,3,2,2,16.08,78.75,16.08,56, ,3,N,5,2,42913,97078,0,0,1901,0,0, , ,1.93,4,0,4,1,1007720035,0,91,985173,210288,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,187.7425756,1204.034877,54165,2,0,5912,5912,5,1125,22.16600037,28.81888962,6.652889252,23.49657822,2.661155701,117.4828911 +5913,MN,623,29,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,70 BANK STREET,R6, , , , , , , , , ,N,C4,2,0, ,CASAVOLPE LLC,2250,7000,0,7000,0,0,0,0,0,0,2,1,4,9,9,25,90,25,54, 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,3,N,5,1,202500,1743300,0,0,1920,1988,2005, , ,3.64,4,4,4,1,1004110005,0,3001,987407,201876,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.8288101,2305.998264,1540800,13,0,5915,5915,11,2475,31.68099976,36.52111053,4.840110779,32.62782808,1.679737915,358.9061089 +5916,MN,784,64,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,240 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,O6,5,0,P,"240W35, LLC",9875,145372,145372,0,136372,9000,0,0,0,0,2,1,17,0,35,100,98.75,100,99, ,3,N,5,2,1903500,12690000,0,0,1924,0,0, , ,14.72,0,10,10,1,1007840064,0,109,986507,213302,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,394.6158341,9732.60092,10786500,6,0,5916,5916,40,9000,34.68444443,34.68444443,0,34.68444443,0,1387.377777 +5917,MN,580,65,102,37,2004,2,3,10014,E024,1,15,6800,1,2,1B,171 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0, ,"THE GEORGIAN PRESS, I",13220,137975,137975,0,133025,4950,0,0,0,0,2,1,10,0,3,75,149.83,75,149.83, ,0,Y,3,2,1242000,24258150,0,0,1926,2015,2012, , 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,1,17V1.1,0,391.2877826,9562.290989,2562300,12,1,5921,5921,42,9450,7.576999664,9.609999657,2.032999992,7.813346272,0.612052182,328.1605434 +5922,MN,526,50,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,86 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,"86 MACDOUGAL STREET,",2010,3360,0,3360,0,0,0,0,0,0,2,1,4,1,1,20.08,100.08,20.08,42, ,3,N,5,5,49331,220710,0,0,1899,2006,0,MacDougal-Sullivan Gardens Historic Dist, ,1.67,3.44,0,6.5,1,1005260050,0,65,983863,204708,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,243.2003395,2040.17224,171379,9,0,5922,5922,10,2250,23.22699928,24.46888924,1.241889954,23.4224884,0.408472946,234.224884 +5923,MN,583,53,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,83 LEROY STREET,R6, , , , , , , , , ,N,A4,1,0, ,"GILCHRIST SINCLAIR, R",2167,4368,0,3276,0,0,0,0,0,0,2,1,3,1,1,21.67,100,21.67,52, ,3,N,5,1,63021,233280,0,0,1901,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1005830053,0,67,982581,205370,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,252.3074156,2275.003645,170259,9,0,5923,5923,9,2025,15.38333321,18.42777824,3.044445038,17.01765421,1.18492984,153.1588879 +5924,MN,344,170,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,172 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,172 RIVINGTON PROPERT,2500,9715,800,8915,0,800,0,0,0,0,2,1,5,21,23,25,100,25,84, ,3,N,5,1,191250,1233000,0,0,1920,1986,0, , ,3.89,4,0,4,1,1003440170,0,2201,988542,201274,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,260.1948736,2655.864781,1041750,1,0,5924,5924,12,2700,22.93000031,22.93000031,0,22.93000031,0,275.1600037 +5925,MN,444,43,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,84 EAST 2 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,RMH ASSETS LLC,578,6775,1300,5475,0,1300,0,0,0,0,2,1,5,8,10,27.5,60,28,50, ,3,N,5,2,35952,130321,0,0,1900,0,0, , ,11.72,4,0,4,1,1004440043,0,3602,987491,203141,12c, ,102 010,10205, ,0, ,1, , 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ASSOCS LLC,2369,6585,700,5885,0,700,0,0,0,0,2,2,4,36,37,25,94.75,25,35, ,3,N,5,2,74700,519300,0,0,1900,0,0, , ,2.78,4,0,4,1,1004520018,0,40,988306,205132,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,241.655202,2381.259931,444600,12,0,5935,5935,11,2475,22.86222267,26.95711136,4.094888687,23.79458636,1.564459794,261.7404499 +5936,MN,604,14,102,69,1002,2,3,10014,E024,6,15,6400,1,2,2Q,634 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,WVH HOLDINGS LLC,13500,47520,2500,45020,0,2500,0,0,0,0,2,4,5,32,33,194.5,100.67,45,46, ,0,Y,3,2,435600,2024550,435600,2024550,1975,2014,0, , ,3.52,4,2,4,1,1006040014,0,69,981770,206052,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,544.963716,14026.48282,1588950,9,1,5936,5936,63,14175,8.725000381,15.57333279,6.848332405,13.56660141,2.156030617,854.6958885 +5937,MN,900,18,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,227 EAST 19 STREET,R8B, , , , , , , , , ,N,D8,3,0, ,227 EAST 19TH STREET,3663,62532,0,62532,0,0,0,0,0,0,2,1,10,54,54,113.9,78.6,113,78, ,1,Y,1,2,1887300,3417300,0,0,1901,2013,0, , ,17.07,4,0,4,1,1009000018,0,64,988843,207409,12c, ,102 047,10308, ,1009000009,7/21/2005,1, , ,17V1.1,0,411.7977594,9967.625458,1530000,5,0,5937,5937,45,10125,20.76499939,24.24333382,3.478334427,20.84229571,0.512725786,937.903307 +5938,MN,191,16,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3B,245 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,M1,8,0,X,NUR ASHKI JERRAHI COM,1875,2738,2738,0,0,0,0,2738,0,0,2,1,2,0,1,18.75,100,19,100,E,3,N,5,2,176400,513000,176400,513000,1960,0,0, , ,1.46,6.02,6,6.5,1,1001910016,0,33,982704,201469,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,249.007784,2132.068431,336600,14,1,5938,5938,9,2025,10.29800034,10.29800034,0,10.29800034,0,92.68200302 +5939,MN,484,9,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,525 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,"JPMORGAN CHASE BANK,",5004,45000,45000,0,40000,5000,0,0,0,0,2,1,8,0,15,50.33,100,50,98, ,3,N,3,2,1125000,6278850,0,0,1924,1970,0,SoHo-Cast Iron Historic District, ,8.99,0,5,6.5,1,1004840009,0,49,984481,202699,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,320.778774,5718.509137,5153850,0,0,5939,5939,26,5850,22.21222115,31.28111076,9.068889618,23.84140932,3.347778821,619.8766422 +5940,MN,769,29,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,211 WEST 19 STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,PROPERTIUS INC,5000,23000,23000,0,18400,4600,0,0,0,0,2,1,5,0,5,50,100.17,50,92, ,0,Y,5,2,589500,1353600,0,0,1910,0,0, , ,4.6,6.02,6,6.5,1,1007690029,0,87,984803,209655,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,307.4157893,5277.331259,764100,7,0,5940,5940,24,5400,21.88888931,28.34777832,6.458889008,22.48865779,1.641605426,539.727787 +5941,MN,616,106,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,50 8 AVENUE,C1-6, , , , , , , , , ,N,S2,4,0, ,YOUCHUNG CORPORATION,1524,2741,1213,1528,0,1213,0,0,0,0,2,1,3,2,3,19.08,46.25,19,40, ,3,Y,5,5,41711,108140,0,0,1900,0,0,Greenwich Village Historic District, ,1.8,3.44,2,6.5,1,1006160106,0,77,983274,208304,8b, ,103 035,10209, ,1006160005,12/31/1992,1, , ,17V1.1,0,136.5871328,962.0645386,66429,8,0,5941,5941,5,1125,21.81777763,22.78333282,0.965555191,22.01088867,0.386222076,110.0544434 +5942,MN,749,1,104,93,1000,2,3,10001,L024,10,15,5200,1,4,2A,250 9 AVENUE,R8, , , , , , , , , ,N,D4,3,0,P,MUTUAL REDEVELOPMENT,49375,202095,1536,200559,1536,0,0,0,0,0,2,1,22,186,186,197.5,275,126,152, ,1,Y,3,0,2340000,15677100,2340000,15677100,1963,0,0, , ,4.09,6.02,0,6.5,1,1007490001,0,93,984352,211731,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,975.5233878,53096.52073,13337100,2,0,5942,5942,235,52875,21.32333183,24.72555542,3.402223587,23.45553388,0.701747963,5512.050463 +5943,MN,849,3,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,139 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O5,5,0, ,THOR 139 5TH AVENUE,4819,24093,24093,0,19593,4500,0,0,0,0,2,1,6,0,6,32.5,138,33,136, ,3,Y,5,2,1282500,5972400,0,0,1915,1984,1996,Ladies' Mile Historic District, ,5,10,10,10,1,1008490003,0,52,986913,208792,8d, ,102 043,10306, ,0, ,1, , 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+5978,MN,297,35,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,33 CANAL STREET,C6-2, , , , , , , , , ,N,S4,4,0, ,33 CANAL STREET LLC,1254,4812,1000,3812,0,1000,0,0,0,0,2,1,5,4,5,22,56.75,22,57,E,3,Y,5,5,96692,140747,0,0,1920,1980,0, , ,3.84,6.02,6,6.5,1,1002970035,0,16,986804,199679,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,165.898419,1333.023315,44055,13,0,5978,5978,5,1125,32.98300171,32.98300171,0,32.98300171,0,164.9150085 +5979,MN,848,73,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,133 5 AVENUE,C6-4M, , , , , , , , , ,N,D7,4,0, ,DEZER PROPERTIES 133,2500,25000,7500,17500,0,7500,0,0,0,0,2,1,9.5,4,6,25,100,25,96, ,3,N,3,5,367626,4220822,0,0,1910,2008,2009,Ladies' Mile Historic District, ,10,10,10,10,1,1008480073,0,52,986823,208678,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,265.75511,2890.070147,3853200,7,0,5979,5979,14,3150,40.06666565,41.39699936,1.33033371,41.05121367,0.472769668,574.7169914 +5980,MN,780,13,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,247 WEST 30 STREET,M1-5, , , , , , , , , ,N,O6,5,0,P,247 WEST 30TH STREET,4934,60397,55797,4600,50747,5050,0,0,0,0,2,1,16,2,20,50,98.75,50,99, ,0,Y,5,5,387000,5735700,0,0,1926,1988,0, , ,12.24,0,5,6.5,1,1007800013,0,101,985894,212299,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,303.4639869,5060.350824,5348700,6,0,5980,5980,22,4950,31.09600067,31.09600067,0,31.09600067,0,684.1120148 +5981,MN,409,22,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,87 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,HONG TU CORPORATION,2364,9175,1500,7675,0,1500,0,0,0,0,2,1,5,16,18,26.92,87.83,27,73, ,2,N,5,2,51300,670050,0,0,1900,2012,0, , ,3.88,4,4,4,1,1004090022,0,18,987159,200990,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,233.159714,2452.876234,618750,13,0,5981,5981,10,2250,35.36399841,35.8666687,0.502670288,35.44077683,0.158612478,354.4077683 +5982,MN,509,35,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,275 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,R F S C INC,1828,6440,0,6440,0,0,0,0,0,0,2,2,5,10,10,20,91.42,20,53, ,3,N,5,5,38319,121976,0,0,1910,0,0, , ,3.52,6.02,6,6.5,1,1005090035,0,43,985700,203033,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,232.6148651,1944.356172,83657,9,0,5982,5982,9,2025,45.38499832,45.90888977,0.523891449,45.53641934,0.171817902,409.827774 +5983,MN,306,29,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,79 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,G7,10,0, ,ELDRIDGE HOTEL LLC,2525,0,0,0,0,0,0,0,0,0,7,1,0,0,0,25.25,100,0,0, ,0,N,5,5,304650,304650,0,0,0,0,0, , ,0,3.44,6,6.5,1,1003060029,0,16,986248,200535,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,258.2909347,2682.934011,0,13,0,5983,5983,11,2475,37.59777832,42.59000015,4.992221832,41.70684953,1.442814574,458.7753448 +5984,MN,475,18,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,51 WOOSTER STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,"WOOSTER 51, LLC",1350,4600,4600,0,2400,2200,0,0,0,0,2,2,4,0,5,18,75,18,47,E,3,N,5,2,303750,611550,0,0,1900,1988,2016,SoHo-Cast Iron Historic District, ,3.41,0,5,6.5,1,1004750018,0,47,983551,202626,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,195.0823639,1528.161606,307800,0,1,5984,5984,7,1575,9.686666489,12.38000011,2.693333626,10.4504761,1.207736352,73.15333271 +5985,MN,16,7513,101,317.04,4006,2,1,10004,E010,1,15,8900, ,1, ,10 LITTLE WEST STREET,BPC, , , , , ,BPC, , , ,N,RM,4,0,X, ,46266,523677,5067,229060,0,0,0,0,0,5067,2,2,38,115,117,369,229.4,0,0, ,0,Y,1,5,7768799,84869707,7768799,84869707,2003,0,0, , ,11.32,0,0,0,1,1000167513,1217,31704,979391,196336,12b, ,11S 088,10101, ,1000160043,2/11/2002,1,1,1,17V1.1,7,874.2614152,42445.94423,77100896,15,1,5985,5985,187,42075,8.671555519,14.81111145,6.139555931,9.891325257,1.604382883,1849.677823 +5986,MN,864,50,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,28 EAST 35 STREET,R9X, , , , , , , , , ,N,M9,8,0, ,COMMUNITY CHURCH,2024,6952,6952,0,0,0,0,0,0,6952,2,1,4,0,5,20.5,98.75,21,60, ,3,N,5,2,346050,580500,240505,423226,1925,1968,0, , ,3.43,9,0,9,1,1008640050,0,74,989270,211772,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,247.8520397,2153.237789,234450,10,0,5986,5986,9,2025,60.8769989,66.76667023,5.889671326,61.53140683,1.850945126,553.7826614 +5987,MN,616,131,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,9 1/2 JANE STREET,C1-6, , , , , , , , , ,N,A5,1,0, ,JANE STREET NY LLC,1458,3500,0,2625,0,0,0,0,0,0,2,1,3,1,1,6.92,87.5,25,35, ,3,Y,5,1,38655,239360,0,0,1910,2008,0,Greenwich Village Historic District, ,2.4,3.44,2,6.5,1,1006160131,0,77,983493,208278,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,229.1971632,1452.655439,200705,8,0,5987,5987,3,675,21.81777763,21.81777763,0,21.81777763,0,65.4533329 +5988,MN,467,53,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,217 EAST 11 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"YUNKERS, DORE ASHTON",1275,2640,0,2640,0,0,0,0,0,0,2,1,4,2,2,12.75,100,12.75,40, ,2,N,5,2,26523,91224,1550,1550,1899,0,0, , ,2.07,4,0,4,1,1004670053,0,40,987681,205653,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,234.2429573,1309.135554,64701,12,0,5988,5988,6,1350,28.52666664,34.2555542,5.728887558,30.61529605,2.426894348,183.6917763 +5989,MN,701,62,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,534 WEST 30 STREET,C6-4, , , , , ,WCH, , , ,N,D8,3,0, ,ELEVENTH AVENUE L.P.,27150,387468,22178,365290,0,7178,15000,0,0,0,2,1,34,370,374,74,300,300,98, ,1,Y,3,2,7425000,47953350,6571800,47100150,2008,0,0, , ,14.27,10,10,10,1,1007010062,0,99,983336,213543,8b, ,105S015,10302,E-142,1007010062,2/2/2010,1, , ,17V1.1,0,801.4668101,27637.51536,40528400,6,1,5989,5989,124,27900,12.41222286,17.38777733,4.975554466,13.74893825,1.205251333,1704.868343 +5990,MN,809,80,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,433 7 AVENUE,C6-6, , , , , ,MID, , , ,N,K2,5,0, ,VNO 435 SEVENTH LLC,11013,39983,39983,0,3328,26655,0,10000,0,0,2,3,3,0,1,136.7,74,136.7,74, ,0,Y,3,5,8280000,46047600,0,0,2002,0,0, , ,3.63,10,15,15,1,1008090080,0,101,986910,212748,8d, ,105S024,10305, ,1008090080,1/2/2004,1, , ,17V1.1,0,484.0599624,11704.06632,37767600,6,0,5990,5990,51,11475,40.73777771,41.49888992,0.761112213,40.93055381,0.199173236,2087.458244 +5991,MN,562,27,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,795 BROADWAY,C6-1, , , , , , , , , ,N,K2,5,0, ,BLDG 795 BROADWAY LLC,1875,3524,3524,0,0,3524,0,0,0,0,2,1,2,0,2,22.08,90.42,22.08,90, ,3,Y,5,2,215550,1156950,0,0,1927,0,0, , ,1.88,3.44,6,6.5,1,1005620027,0,61,986566,206039,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,224.7984941,1860.950942,941400,8,0,5991,5991,7,1575,34.39444351,34.39444351,0,34.39444351,0,240.7611046 +5992,MN,573,61,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,33 WEST 9 STREET,R6, , , , , , , , , ,N,C2,2,0, ,GORMAN PROPERTIES LLC,1607,3868,0,3868,0,0,0,0,0,0,2,1,4,5,5,17.42,92.25,17,54, ,3,N,5,5,311898,523069,0,0,1900,1987,0,Greenwich Village Historic District, ,2.41,2.43,0,4.8,1,1005730061,0,63,984990,206575,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.3416828,1567.652877,211171,8,0,5992,5992,5,1125,18.98099899,18.98099899,0,18.98099899,0,94.90499496 +5993,MN,821,38,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,142 5 AVENUE,C6-4A,C6-4M, , , , , , , , ,Y,O6,5,0,P,142 FIFTH AVE OWNERS,9200,91000,47320,43680,39130,8190,0,0,0,0,2,1,10,11,23,27.67,170,27,168, ,3,Y,3,2,1440000,10639350,0,0,1900,1981,0,Ladies' Mile Historic District, ,9.89,10,10,10,1,1008210038,0,54,986502,208701,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,552.5389782,10072.61693,9199350,7,0,5993,5993,46,10350,32.91555405,32.91555405,0,32.91555405,0,1514.115486 +5994,MN,800,7505,104,91,1002,2,3,10011,E001,13,15,5200,2,4, ,159 WEST 24 STREET,M1-6,C6-3X, , , , , , , , ,Y,R4,3,0, , ,4115,22675,0,22675,0,0,0,0,0,0,2,1,8,24,24,0.09,0,42,94, ,0,N,5,5,1120498,3740851,4720,4720,1900,0,0, , ,5.51,0,10,10,1,1008007505,2307,91,985759,210609,8d, ,105S011,10305, ,1008000007,2/9/2012,1, , 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,17V1.1,0,229.1687623,1882.7172,260440,5,0,5996,5996,8,1800,14.83555603,16.92222214,2.086666107,15.1019448,0.688153952,120.8155584 +5997,MN,642,7501,102,79,1010,2,3,10014,L005,6,15,6100,3,2, ,111 JANE STREET,C6-2A, , , , , , , , , ,N,R1,2,0, ,111 JANE STREET CONDO,2248,11969,0,11969,0,0,0,0,0,0,2,1,6,6,6,25.52,88.11,0,0, ,0,Y,5,5,159246,1300652,2360,2360,1900,0,0, , ,5.32,6.02,6,6.5,1,1006427501,785,79,981747,208269,8b, ,103 014,10210,E-4,1006420034,11/20/1991,1,1,1,17V1.1,7,233.5641316,2254.22899,1141410,8,1,5997,5997,12,2700,7.369999886,8.032999992,0.663000107,7.922499975,0.247085551,95.06999969 +5998,MN,822,7506,105,54,1001,2,3,10011,E014,13,15,5700,1,5, ,21 WEST 20 STREET,C6-4A, , , , , , , , , ,N,R4,3,0, , ,9200,80907,52797,28110,0,0,52797,0,0,0,2,2,16,14,14,100,90,80,89, ,2,N,0,5,1656003,10604242,0,2591448,1927,0,0, , ,8.79,10,10,10,1,1008227506,2368,54,986361,209065,8d, ,102 042,10306, ,1008220019,1/2/2013,1, , ,17V1.1,7,393.4932325,9676.384305,8948240,7,0,5998,5998,43,9675,34.23199844,34.54999924,0.318000793,34.24087187,0.048651163,1472.357491 +5999,MN,415,78,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,80 DELANCEY STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"80 DELANCEY, LLC.",5820,25071,6179,18892,2000,4179,0,0,0,0,2,1,6,25,29,87.83,54.5,87,54, ,3,N,3,2,535500,2404350,0,0,1920,2010,0, , ,4.31,6.02,6,6.5,1,1004150078,0,18,987059,201355,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,298.8206778,5285.671624,1868850,13,0,5999,5999,23,5175,37.4659996,37.60133362,0.135334015,37.47188369,0.027598817,861.8533249 +6000,MN,204,24,102,41,3002,2,1,10013,L006,5,15,6800,1,2,1F,41 ELIZABETH STREET,C6-2G,C6-1G, , , , ,LI, , , ,Y,O6,5,0, ,ELDAD RLTY CORP,7052,45700,45700,0,38700,7000,0,0,0,0,2,1,7,0,22,74.83,94.25,75,94, ,3,N,5,2,616500,3906900,0,0,1920,2003,0, , ,6.48,6.02,6,6.5,1,1002040024,0,41,985090,200507,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,340.5084541,7140.967751,3290400,0,0,6000,6000,31,6975,36.00444412,42.0225563,6.018112183,36.19857677,1.063308321,1122.15588 +6001,MN,415,7501,103,18,4000,1,1,10002,L018,5,14,7400,2,3, ,164 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2208,7345,1172,6173,0,1172,0,0,0,0,2,1,5,3,4,25,88.33,0,0, ,0,N,0,5,122083,774788,2360,2360,1900,0,0, , ,3.33,4,4,4,1,1004157501,1098,18,986797,201554,12c, ,11N 078,10204, ,1004150006,3/16/2000,1, , ,17V1.1,7,229.5930599,2251.020682,652705,13,0,6001,6001,9,2025,37.10666656,37.10666656,0,37.10666656,0,333.9599991 +6002,MN,552,35,102,65,1001,2,1,10012,L009,6,15,5700,1,2,2A,147 WEST 4 STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,WAVERLY REALTY CO.,2264,6581,1500,5081,0,1500,0,0,0,0,2,1,4,4,5,23.5,96.25,24,80,E,3,N,5,5,238314,499023,0,0,1900,0,0,Greenwich Village Historic District, ,2.91,3.44,0,6.5,1,1005520035,0,65,984160,205835,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,242.1550458,2296.66464,260709,9,0,6002,6002,10,2250,17.50333405,20.24333382,2.739999771,17.78053398,0.820988713,177.8053398 +6003,MN,897,7501,106,48,3000,2,2,10003,E005,13,14,5900,1,6, ,205 EAST 16 STREET,C1-9A,R7B, , , , , , , , ,Y,RM,4,0, ,THE ABBEY CONDOMINIUM,8878,55264,4127,51137,4127,0,0,0,0,0,2,1,6,32,36,86.5,115,86.56,115, ,0,Y,0,5,791995,8050949,0,0,1915,1983,0,Stuyvesant Square Historic District, ,6.22,10,2,10,1,1008977501,1537,48,988240,206915,12c, ,102 036,10308, ,1008970047,5/1/2006,1, , ,17V1.1,7,410.5252409,9182.98959,7258950,5,0,6003,6003,41,9225,25.1044445,25.1044445,0,25.1044445,0,1029.282225 +6004,MN,915,5,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2A,207 EAST 34 STREET,C1-9A, , , , , , , , , ,N,K4,4,0, ,207 EAST 34 ACQUISITI,2469,12345,12345,0,2469,2469,0,0,0,7407,2,1,5,0,4,25,98.75,25,98, ,0,N,5,5,196200,803700,0,0,1900,0,0, , ,5,10,2,10,1,1009150005,0,78,990501,210973,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,254.6600042,2577.494733,607500,10,0,6004,6004,11,2475,27.39299965,27.44822121,0.055221558,27.39801979,0.015875082,301.3782177 +6005,MN,451,42,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,339 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,HIGH NINE,2306,7700,0,7700,0,0,0,0,0,0,2,1,5,23,23,25,92.25,25,50, ,3,N,5,2,315000,1246500,0,0,1900,1986,0, , ,3.34,4,0,4,1,1004510042,0,40,988291,204745,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.7764179,2360.670501,931500,12,0,6005,6005,10,2250,23.10400009,23.3955555,0.291555405,23.13564453,0.086954189,231.3564453 +6006,MN,826,26,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,19 WEST 24 STREET,M1-6, , , , , , , , , ,N,L2,6,0,P,MADISON SQUARE PORTFO,4987,51659,51659,0,17328,4000,0,30331,0,0,2,1,12,0,13,50.5,98.75,50,92,E,3,N,5,2,1350000,5488650,0,0,1910,2015,2016, , ,10.36,0,10,10,1,1008260026,0,58,986897,209981,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,297.8025881,4945.035031,4138650,2,0,6006,6006,22,4950,33.45800018,36.6166687,3.158668518,33.86933344,0.975135147,745.1253357 +6007,MN,830,5,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,824 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,THE KIM FAMILY JOINT,3000,9000,9000,0,3000,3000,0,3000,0,0,2,1,3,0,5,40,75,40,75,E,3,N,5,2,702000,1658250,0,0,1930,0,0, , ,3,10,10,10,1,1008300005,0,76,987021,211163,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,230.6851702,2959.363463,956250,2,0,6007,6007,14,3150,44.22222137,44.45100021,0.228778839,44.42549215,0.065301568,621.9568901 +6008,MN,754,34,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,307 WEST 30 STREET,R8B, , , , , , , , , ,N,O9,5,0, ,LITHUANIAN ALLIANCE O,2469,6376,3768,2608,2568,0,0,1200,0,0,2,1,4,2,3,25,98.75,25,52, ,3,N,5,2,144000,390600,0,0,1901,1987,0, , ,2.58,4,0,4,1,1007540034,0,103,985422,212557,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,264.6014687,2641.112261,246600,6,0,6008,6008,11,2475,32.83677673,33.93888855,1.102111816,33.63493937,0.263280146,369.984333 +6009,MN,276,40,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,98 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,YBNBR CORPORATION,2533,10833,2000,8833,0,2000,0,0,0,0,2,1,6,22,23,25,100,25,84, ,3,Y,5,2,171000,535050,0,0,1989,0,0, , ,4.28,3.44,0,6.5,1,1002760040,0,8,985470,198672,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,259.6599338,2676.175843,364050,16,0,6009,6009,13,2925,23.59300041,24.20866776,0.615667343,23.64035944,0.16405648,307.3246727 +6010,MN,530,7505,102,55.02,1001,2,1,10012,L009,9,15,5700,2,2, ,40 BOND STREET,M1-5B, , , , , , , , , ,N,R4,3,0, , ,14255,71134,0,71134,0,0,0,0,0,0,2,1,11,26,26,136.17,100,136,60, ,3,Y,0,5,1485004,10904404,0,2079441,2006,0,0,NoHo Historic District Extension, ,4.99,0,5,6.5,1,1005307505,1721,5502,986148,203935,12c, ,103 010,10207, ,1005300048,9/22/2007,1, , ,17V1.1,7,505.4895935,14597.79369,9419400,9,0,6010,6010,66,14850,43.14099884,43.14099884,0,43.14099884,0,2847.305923 +6011,MN,443,40,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,70 EAST 1 STREET,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,"70 EAST 1,",837,3750,750,3000,0,750,0,0,0,0,2,1,5,5,7,33,25,33,25, ,3,N,5,2,15622,56228,0,0,1910,0,0, , ,4.48,4,0,4,1,1004430040,0,3602,987353,202887,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,122.0440321,920.2953028,40606,1,0,6011,6011,4,900,31.19000053,31.19000053,0,31.19000053,0,124.7600021 +6012,MN,499,21,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,135 MERCER STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,94 PRINCE STREET CORP,560,2800,2800,0,0,1500,0,1300,0,0,2,1,5,0,3,22.17,25.25,22,25, ,3,N,5,2,126000,549900,0,0,1900,1985,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004990021,0,49,984567,203226,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,93.45581635,544.9967124,423900,0,0,6012,6012,3,675,22.35555458,22.35555458,0,22.35555458,0,67.06666374 +6013,MN,297,18,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,23 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,23 ESSEX REALTY CORP.,1560,6175,1300,4875,0,1300,0,0,0,0,2,1,5,8,10,25,62.42,25,46, ,2,N,5,2,72854,214485,0,0,1900,1984,0, , ,3.96,6.02,6,6.5,1,1002970018,0,16,987003,199937,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,184.0326543,1683.75657,141631,13,0,6013,6013,8,1800,32.98300171,33.29866791,0.315666199,33.02245998,0.104396782,264.1796799 +6014,MN,231,7502,102,47,2013,2,1,10013,E055,1,15,6800,1,2, ,54 HOWARD STREET,M1-5B, , , , , , , , , ,N,RC,5,0, , ,1769,8328,8328,0,3056,0,0,5272,0,0,2,1,5,0,5,30.5,58,30.5,58, ,0,N,5,5,126450,1017452,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.71,0,5,6.5,1,1002317502,1675,47,983695,201737,12a, ,101N046,10105, ,1002310017,5/14/2007,1, , ,17V1.1,7,191.4121778,2075.42537,891002,0,0,6014,6014,9,2025,12.30000019,12.30000019,0,12.30000019,0,110.7000017 +6015,MN,468,19,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,220 EAST 13 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,SHERYL AND GERALD HAR,1600,3410,0,3410,0,0,0,0,0,0,2,1,4,4,4,15.5,103.25,16,56, ,3,N,5,5,125676,171366,0,0,1910,1982,0, , ,2.13,4,0,4,1,1004680019,0,40,987858,205984,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,242.9342576,1590.41826,45690,12,0,6015,6015,7,1575,28.72333336,34.55588913,5.832555771,31.09925379,2.185926852,217.6947765 +6016,MN,276,14,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,27 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,CHEN & SHAO REALTY I,5021,21856,3600,18256,0,3600,0,0,0,0,2,1,6,31,32,49.92,100.5,50,88, ,3,Y,5,2,235350,842400,0,0,1915,1987,0, , ,4.35,3.44,0,6.5,1,1002760014,0,8,985565,198578,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,309.0169762,5225.429232,607050,16,0,6016,6016,21,4725,13.17555523,23.59300041,10.41744518,14.31985692,3.084208967,300.7169952 +6017,MN,769,69,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,192 8 AVENUE,C1-6A, , , , , , , , , ,N,S9,4,0,P,192 8TH AVENUE REALTY,2500,4447,1850,2597,0,1850,0,0,0,0,2,1,3,4,6,25,100,25,74, ,3,N,5,5,186278,539208,0,0,1910,0,0, , ,1.78,4,2,4,1,1007690069,0,87,984333,209998,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,250.6239377,2481.720494,352930,7,0,6017,6017,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +6018,MN,404,47,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,317 EAST 10 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,DIANA R GORDON,2369,4100,0,4100,0,0,0,0,0,0,2,1,4,4,4,25,94.75,25,40, ,3,N,5,5,23477,146344,0,0,1900,0,0,East 10th Street Historic District, ,1.73,4,0,4,1,1004040047,0,34,989517,204349,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,244.4941457,2405.426751,122867,12,0,6018,6018,12,2700,12.53199959,14.76888847,2.236888886,13.07259226,0.796447117,156.8711071 +6019,MN,189,22,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,42 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,D2,3,0,P,MOORE STREET BLDG CO,2188,12200,2000,10200,0,2000,0,0,0,0,2,1,6,5,6,25,87.5,25,81, ,3,N,5,5,117986,371293,0,0,1921,0,0,Tribeca West Historic District, ,5.58,6.02,6,6.5,1,1001890022,0,33,981991,201484,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,238.5978982,2343.560226,253307,14,1,6019,6019,9,2025,10.17444515,15.3623333,5.187888145,10.75087717,1.63039595,96.75789452 +6020,MN,860,65,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,130 MADISON AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,WALSAM 130 MAD LLC,2850,15300,15300,0,13100,2200,0,0,0,0,2,1,6,0,6,30,95,30,95,E,3,N,5,2,441000,827100,0,0,1903,1987,0, , ,5.37,10,10,10,1,1008600065,0,74,988478,210989,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,257.3173302,2984.87239,386100,10,0,6020,6020,13,2925,37.50888824,37.50888824,0,37.50888824,0,487.6155472 +6021,MN,232,3,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,440 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,440 BROADWAY REALTY A,2989,5771,5771,0,0,5771,0,0,0,0,2,1,2,0,1,30.5,98,31,98, ,3,N,5,2,198000,3987450,0,0,1910,1988,0,SoHo-Cast Iron Historic District, ,1.93,0,5,6.5,1,1002320003,0,45,983981,201605,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,269.1283736,3240.451425,3789450,0,0,6021,6021,14,3150,14.35888863,16.10666656,1.747777939,14.48372991,0.450121641,202.7722187 +6022,MN,925,50,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,334 EAST 20 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,SLOVAK EVANG CONG,1840,4720,4720,0,0,0,0,0,0,4720,2,1,4,0,1,20,92,20,48,E,3,N,5,0,168300,370800,168300,370800,1920,1967,0, , ,2.57,4,0,4,1,1009250050,0,64,989521,207145,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,233.6662586,1947.516066,202500,5,0,6022,6022,8,1800,15.27999973,16.15999985,0.880000114,15.38999975,0.291032682,123.119998 +6023,MN,626,35,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,34 HORATIO STREET,R6, , , , , , , , , ,N,C4,2,0, ,"ISEMAN, JOSEPH S",2188,8455,0,8455,0,0,0,0,0,0,2,1,5,17,17,25,87.5,25,73, ,3,N,5,2,295200,765450,0,0,1910,0,0,Greenwich Village Historic District, ,3.86,2.43,0,4.8,1,1006260035,0,77,982967,208357,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,232.1167558,2285.462866,470250,8,0,6023,6023,12,2700,17.68444443,17.84000015,0.155555725,17.6974074,0.042993331,212.3688889 +6024,MN,620,4,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,526 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,"MOTTUS BENDEWALD, HOL",1920,4965,960,4005,0,960,0,0,0,0,2,1,4,7,8,24.17,80.83,24,38, ,3,Y,5,2,86424,312774,0,0,1905,0,0,Greenwich Village Historic District, ,2.59,3.44,2,6.5,1,1006200004,0,73,982604,206712,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,214.9519376,2100.039547,226350,9,0,6024,6024,10,2250,22.63400078,24.66777802,2.033777237,23.22157822,0.691696868,232.2157822 +6025,MN,310,34,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,51 HESTER STREET,C6-2, , , , , , , , , ,N,S5,4,0, ,"WAN YOU, INC.",1034,5751,900,4851,0,900,0,0,0,0,2,1,6,5,6,21.83,46.5,20,42,E,3,Y,5,2,59443,476591,0,0,1920,2005,2005, , ,5.56,6.02,6,6.5,1,1003100034,0,16,987040,200038,12c, ,101N051,10107, ,0, ,1, , 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,1,17V1.1,0,242.5075987,2169.417491,91283,12,1,6027,6027,9,2025,8.156999588,10.25666618,2.099666595,8.810332934,0.784509774,79.29299641 +6028,MN,377,60,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,255 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,EAST 7 STREET APT HOM,2413,8940,1000,7940,0,1000,0,0,0,0,2,1,5,8,9,24.75,97.5,25,82, ,3,N,5,2,6386,30394,2026,2026,1900,1988,0, , ,3.7,4,0,4,1,1003770060,0,2602,990437,202986,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,249.985274,2541.169275,24008,12,1,6028,6028,12,2700,7.507333279,11.04444408,3.537110806,8.090925852,1.305033394,97.09111023 +6029,MN,434,46,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,421 EAST 6 STREET,R8B, , , , , , , , , ,N,E1,6,0,P,"BFAB, LLC",6244,19000,19000,0,0,0,0,19000,0,0,2,2,4,0,1,43.75,181.75,44,136,E,2,Y,4,0,344700,1405350,0,0,1920,1964,0,East Village/Lower East Side Historic Di, ,3.04,4,0,4,1,1004340046,0,32,988412,203864,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,459.9857959,6088.586995,1060650,12,0,6029,6029,27,6075,18.26222229,23.7033329,5.441110611,19.35328399,1.933400832,522.5386677 +6030,MN,790,56,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,134 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,134 MANAGEMENT LLC,2581,9925,0,9925,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,80, ,3,N,5,2,159750,1214550,0,0,1920,1987,0, , ,3.85,4,0,4,1,1007900056,0,81,984798,208333,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,262.2605072,2692.766529,1054800,7,0,6030,6030,11,2475,27.73777771,28.63777733,0.899999619,27.89444438,0.332741896,306.8388882 +6031,MN,769,7506,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,217 WEST 19 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,THE DANCE BUILDING CO,7500,50790,24083,26707,0,0,0,24083,0,0,2,1,11,12,13,75,100.21,0,0, ,0,Y,0,5,487351,6940599,2360,2360,2002,0,0, , ,6.77,6.02,6,6.5,1,1007697506,1269,87,984747,209685,8d, ,103 034,10304, ,1007690026,3/10/2003,1, , ,17V1.1,7,349.2431249,7451.909751,6453250,7,0,6031,6031,33,7425,21.88888931,28.36000061,6.471111298,22.12591963,1.126083745,730.1553478 +6032,MN,626,23,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,628 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,"BEREA REALTY, INC.",1045,2890,500,2390,0,500,0,0,0,0,2,1,4,3,4,19,56,19,39, ,3,Y,5,5,167226,345933,0,0,1900,0,0,Greenwich Village Historic District, ,2.77,3.44,2,6.5,1,1006260023,0,77,982779,208267,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,160.2832505,1225.215028,178707,8,0,6032,6032,7,1575,17.68444443,19.36666679,1.682222366,17.92476191,0.588655204,125.4733334 +6033,MN,824,11,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,56 WEST 23 STREET,C6-4M,C6-3A, , , , , , , , ,Y,D6,4,0,P,"WHITEHALL PROPERTIES,",46676,527452,146354,381098,0,104376,41978,0,0,0,2,1,20,431,444,197.5,284,198,284,E,0,Y,2,2,10379700,78164100,0,0,2000,0,0,Ladies' Mile Historic District, ,11.3,10,10,10,1,1008240011,0,58,986329,209727,8d, ,104 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, ,17V1.1,0,318.4390693,5544.426817,1614150,1,1,6035,6035,25,5625,12.00399971,14.70444393,2.700444222,12.87973312,1.040029078,321.9933281 +6036,MN,831,50,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,18 WEST 30 STREET,M1-6, , , , , , , , , ,N,S9,4,0, ,"JAMAK REALTY, INC.",2074,8360,1650,6710,0,1650,0,0,0,0,2,1,5,3,6,21,98.75,21,87,E,3,N,5,5,133376,593190,0,0,1910,0,0, , ,4.03,0,10,10,1,1008310050,0,76,987687,211132,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,240.223339,2106.339842,459814,10,0,6036,6036,10,2250,41.02666855,43.91222382,2.885555267,41.31522408,0.86566658,413.1522408 +6037,MN,486,7,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,74 WOOSTER STREET,M1-5A, , , , , , , , , ,N,L9,6,0, ,"74 WOOSTER HOLDING, L",2500,11795,11795,0,0,0,0,0,0,0,2,1,5,0,2,25,100,25,99, ,3,N,5,2,337500,1029150,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.72,0,5,6.5,1,1004860007,0,49,983868,202870,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,253.7334062,2558.454884,691650,0,0,6037,6037,11,2475,11.1744442,13.04777813,1.873333931,11.34474728,0.53854564,124.7922201 +6038,MN,350,17,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,283 EAST HOUSTON STREET,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,ISADOROS G MICHALOS,2500,6605,1000,5605,0,1000,0,0,0,0,2,1,5,8,9,25,100,25,50,E,2,N,5,2,21858,122987,0,0,1920,1987,0, , ,2.64,6,0,6,1,1003500017,0,3001,988584,202068,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,256.409556,2635.014756,101129,1,0,6038,6038,12,2700,22.40999985,23.50333405,1.093334198,22.50111103,0.302181609,270.0133324 +6039,MN,564,17,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,831 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,YH BROOME LLC,5570,14225,6750,7475,6750,0,0,0,0,0,2,1,4,0,10,37.5,125,37.5,85, ,2,Y,5,1,351000,1788300,0,0,1910,1988,0, , ,2.55,3.44,6,6.5,1,1005640017,0,61,986647,206622,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,336.8234011,4791.846238,1437300,8,0,6039,6039,22,4950,38.11633301,41.56299973,3.446666718,38.27299968,0.717936869,842.0059929 +6040,MN,389,28,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4Q,220 EAST 7 STREET,R8B, , , , , , , , , ,N,N9,8,0,P,ACCESS HOUSE INC,2271,6985,6985,0,0,0,0,0,0,6985,2,1,5,0,1,25,90.83,25,56, ,0,N,5,5,104400,568800,104400,568800,1900,1988,0, , ,3.08,4,0,4,1,1003890028,0,2602,989911,203104,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,233.8280379,2357.222846,464400,12,1,6040,6040,11,2475,7.700000286,9.376667023,1.676666737,8.295656724,0.670026337,91.25222397 +6041,MN,810,1,105,109,1006,2,3,10001,E026,14,15,5200,1,5,1H,441 7 AVENUE,C6-4,C5-2, , , , ,MID, , , ,Y,K3,5,0, ,MACY'S EAST INC,134375,2192088,2192088,0,0,2192088,0,0,0,0,2,1,19,0,1,179.5,680,179.5,680, ,0,Y,1,2,56699550,166751550,0,0,1930,2013,0, , ,16.31,10,10,10,1,1008100001,0,109,987269,212818,8d, ,105N035,10305, ,0, ,1, , ,17V1.1,0,1782.35636,138111.9996,110052000,6,0,6041,6041,596,134100,41.77133179,46.95111084,5.179779053,43.3925084,0.298842578,25861.93501 +6042,MN,828,40,105,58,1003,2,2,10001,E001,13,15,5700,1,5,1B,226 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,226 5TH AVE LLC,2250,8370,8370,0,6770,1600,0,0,0,0,2,1,6,0,7,22.5,100,23,99,E,3,N,5,2,495000,1120950,0,0,1930,1989,0,Madison Square North Historic District, ,3.72,10,10,10,1,1008280040,0,58,987508,210313,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,248.7154568,2446.511688,625950,11,0,6042,6042,12,2700,40.99422455,41.03300095,0.038776398,41.02976958,0.01071723,492.357235 +6043,MN,857,7,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,7 EAST 27 STREET,C5-2, , , , , , , , , ,N,H3,5,0,P,EAST 27 HOTEL LLC,5591,53038,0,0,0,0,0,0,0,0,2,1,12,0,3,57,98.75,57,96,E,3,N,5,2,4500000,10187667,0,0,1927,1987,2013,Madison Square North Historic District, ,9.49,10,10,10,1,1008570007,0,56,987859,210329,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,321.9075964,5924.524685,5687670,11,0,6043,6043,26,5850,36.04399872,36.04399872,0,36.04399872,0,937.1439667 +6044,MN,909,54,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,411 3 AVENUE,C2-8, , , , , , , , , ,N,K4,4,0, ,411 THIRD AVENUE CORP,2170,5109,5109,0,0,5109,0,0,0,0,2,1,3,0,4,24.67,90,24.67,90, ,2,N,3,2,221850,813600,0,0,1925,2007,0, , ,2.35,10,2,10,1,1009090054,0,66,989739,209741,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,244.0140781,2564.919208,591750,11,0,6044,6044,11,2475,35.64599991,39.6855545,4.039554596,36.88587848,1.664404771,405.7446632 +6045,MN,518,4,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,44 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,B3,1,0, ,FERBER EDITH,1500,2740,0,2740,0,0,0,0,0,0,2,1,3,2,2,20,75,20,36,E,2,N,5,2,26093,109900,1550,1550,1899,0,0,Sullivan-Thompson Historic District, ,1.83,3.44,0,6.5,1,1005180004,0,49,983531,204209,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,204.8983238,1769.259867,83807,9,0,6045,6045,7,1575,20.52111053,24.54333305,4.022222519,21.09571375,1.407484686,147.6699963 +6046,MN,373,63,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,285 EAST 3 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,BAY PETDRE SIX LLC,2084,2917,0,2917,0,0,0,0,0,0,2,1,3,4,4,21.67,96.17,22,44, ,3,N,5,5,4406,30945,0,0,1900,0,0, , ,1.4,4,0,4,1,1003730063,0,2601,989833,202175,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,240.3921995,2138.406442,26539,1,0,6046,6046,10,2250,13.10900021,13.40777779,0.29877758,13.13887796,0.089633274,131.3887796 +6047,MN,544,11,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,415 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,"ONLY PROPERTIES, LLC",4200,12338,7208,5130,3450,3758,0,0,0,0,2,2,5,3,5,28.42,150,28,148, ,3,N,5,2,365400,1283400,0,0,1900,0,0,NoHo Historic District, ,2.94,0,5,6.5,1,1005440011,0,57,986432,204671,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,372.5060753,4653.415529,918000,9,0,6047,6047,21,4725,40.7820015,44.92444611,4.142444611,41.1968689,1.201156956,865.1342468 +6048,MN,537,7501,102,65,5001,2,1,10012,L009,6,15,5700,2,2, ,64 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0,P,WEST THIRD ST APARTME,5000,29247,12840,16407,4940,7900,0,0,0,0,2,1,11,11,19,50,100,0,0, ,0,N,5,5,427499,4504050,7490,7490,1982,0,0, , ,5.85,3.44,0,6.5,1,1005377501,153,65,984742,204962,12c, ,103 007,10207, ,1005370019,12/19/1984,1, , ,17V1.1,7,305.1388228,5212.812622,4076550,9,0,6048,6048,24,5400,27.39777756,29.80822182,2.41044426,27.58006461,0.607995354,661.9215508 +6049,MN,163,29,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,51 BAYARD STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,TAI PUN MERCHNTS ETCF,2125,7625,3050,4575,1525,1525,0,0,0,0,2,1,5,5,7,25.08,85,25,61, ,3,Y,5,2,196376,683354,0,0,1983,0,0, , ,3.59,3.44,6,6.5,1,1001630029,0,29,984909,199815,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,222.2685729,2189.173455,486978,14,0,6049,6049,10,2250,33.5909996,33.5909996,0,33.5909996,0,335.909996 +6050,MN,572,60,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,33 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S9,4,0, ,"3868 BROADWAY REALTY,",2356,6010,2000,4010,0,2000,0,0,0,0,2,1,5,5,7,25.08,93.92,25,68, ,3,N,5,2,281626,833950,0,0,1900,2008,0,Greenwich Village Historic District, ,2.55,3.44,3.4,6.5,1,1005720060,0,63,984821,206386,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.2744836,2440.729852,552324,8,0,6050,6050,11,2475,18.70499992,22.64999962,3.944999695,19.09388872,1.128562389,210.0327759 +6051,MN,615,41,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,11 BANK STREET,R6, , , , , , , , , ,N,C3,2,0, ,"H.L. SLATIN, LLC",2160,5855,0,5855,0,0,0,0,0,0,2,1,3,4,4,24,90.25,24,54,E,3,Y,5,5,273354,417033,0,0,1910,1987,0,Greenwich Village Historic District, ,2.71,2.43,0,4.8,1,1006150041,0,77,983608,207870,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,237.3092987,2323.835988,143679,8,0,6051,6051,9,2025,23.05999947,27.48999977,4.430000305,23.8871602,1.583036291,214.9844418 +6052,MN,401,1,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,74 AVENUE A,R7A, , , ,C2-5, , , , , ,N,U2,7,0,P,THE CITY OF NEW YORK,0,0,0,0,0,0,0,0,0,0,7,3,0,0,0,194.08,100,0,0, ,0,Y,5,5,2562000,7622000,0,0,0,0,0, , ,0,4,0,4,1,1004010001,0,32,988712,203429,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,597.9364043,19864.53886,5060000,1,0,6052,6052,89,20025,17.47333336,21.4244442,3.95111084,19.85562029,0.743609406,1767.150206 +6053,MN,912,23,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,241 EAST 31 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,241 E 31 OWNERS INC,1975,5967,0,5967,0,0,0,0,0,0,2,1,4,5,5,20,98.75,20,70, ,3,N,5,2,131471,560706,2360,2360,1900,1987,0, , ,3.02,3,0,3,1,1009120023,0,70,990394,210103,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,242.8560918,2071.903604,429235,10,0,6053,6053,9,2025,26.45000076,29.11555481,2.665554047,26.9350622,0.935569532,242.4155598 +6054,MN,92,34,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1H,25 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,G1,10,0, ,4JS BEEKMAN LLC,7038,36246,36246,0,0,0,36246,0,0,0,2,1,6,0,1,68.67,102.67,68.67,85.58, ,0,N,5,5,841500,4143150,0,0,1963,0,0, , ,5.15,10,10,10,1,1000920034,0,1501,982535,198177,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,349.5217922,7359.934248,3301650,4,0,6054,6054,34,7650,33.07555389,34.5909996,1.515445709,34.45579372,0.344853468,1171.496986 +6055,MN,901,38,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,240 EAST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,GRAMERCY REALTY COMPA,3864,14658,0,14658,0,0,0,0,0,0,2,1,6,24,24,42,92,38,79, ,3,N,5,2,315000,2656350,0,0,1920,1986,0, , ,3.79,4,0,4,1,1009010038,0,64,989081,207667,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,271.7431427,3888.237644,2341350,5,0,6055,6055,17,3825,19.86555672,19.86555672,0,19.86555672,0,337.7144642 +6056,MN,620,67,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2K,242 WEST 4 STREET,R6, , , , , , , , , ,N,C6,2,0, ,242-244 OWNERS CORP,1613,6730,0,6730,0,0,0,0,0,0,2,1,5,11,11,21.5,75,22,66, ,3,N,5,2,202500,822150,3347,3347,1900,1966,0,Greenwich Village Historic District, ,4.17,2.43,0,4.8,1,1006200067,0,73,983340,206900,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,200.688505,1619.456429,619650,8,0,6056,6056,7,1575,24.70777702,24.70777702,0,24.70777702,0,172.9544392 +6057,MN,577,18,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,44 WEST 14 STREET,C6-2M, , , , , , , , , ,N,D7,4,0, ,EBR 14 LLC,2581,13712,1950,11762,0,1950,0,0,0,0,2,1,6,18,19,25,103.25,25,103, ,3,N,5,2,262350,1938600,0,0,1900,2001,0, , ,5.31,6.02,6,6.5,1,1005770018,0,63,985390,207657,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,270.4539556,2821.068518,1676250,8,0,6057,6057,13,2925,30.09499931,30.71444511,0.619445801,30.17346103,0.188950038,392.2549934 +6058,MN,435,23,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,118 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,118 ST. MARKS REALTYC,2510,5020,800,4220,0,800,0,0,0,0,2,1,5,8,9,25.75,97.5,26,54, ,3,N,5,2,99125,208516,0,0,1900,1986,0, , ,2,4,0,4,1,1004350023,0,32,988653,204088,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,251.7740645,2552.376874,109391,12,0,6058,6058,12,2700,18.46888924,19.64244461,1.173555374,18.56668552,0.324353571,222.8002262 +6059,MN,831,6,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,49 WEST 29 STREET,C6-4X, , , , , , , , , ,N,K1,5,0,P,SO HEE MOON,750,749,749,0,0,749,0,0,0,0,2,1,1,0,2,30.33,24.67,30,25, ,3,N,5,2,191250,582750,0,0,1915,0,0, , ,1,10,10,10,1,1008310006,0,76,987141,211275,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,108.9166162,739.9110546,391500,6,0,6059,6059,4,900,41.16799927,41.16799927,0,41.16799927,0,164.6719971 +6060,MN,640,39,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,765 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,S5,4,0,P,VIDEO STORYBOARD TEST,1140,4465,900,3565,0,0,0,0,0,900,2,1,5,6,7,15.08,76.5,15.08,62, ,0,Y,5,5,40160,144452,0,0,1905,0,0,Greenwich Village Historic District, ,3.92,4,2,4,1,1006400039,0,79,982044,207930,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,188.040125,1228.373377,104292,8,1,6060,6060,5,1125,11.96800041,11.96800041,0,11.96800041,0,59.84000206 +6061,MN,902,43,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,226 EAST 22 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,226 EAST 22ND STREET,2461,4860,0,4860,0,0,0,0,0,0,2,1,4,7,7,24.92,98.75,25,47, ,3,N,5,2,58808,277612,0,0,1900,1970,0, , ,1.97,6,0,6,1,1009020043,0,64,989103,207945,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,244.5805789,2327.921979,218804,11,0,6061,6061,12,2700,19.86555672,20.57888985,0.71333313,19.92500114,0.197154862,239.1000137 +6062,MN,722,39,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,233 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,S5,4,0, ,233 NINTH CORP,2467,4840,1210,3630,0,1210,0,0,0,0,2,1,4,5,6,24.67,100,25,49, ,3,N,5,5,75155,311570,0,0,1920,1957,2014, , ,1.96,6,0,6,1,1007220039,0,93,983976,211613,8d,Y,105S005,10302, ,0, ,1, , ,17V1.1,0,262.7362106,2586.823651,236415,2,1,6062,6062,13,2925,10.68099976,17.51444435,6.833444595,11.20664934,1.820903574,145.6864414 +6063,MN,459,29,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,63 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,D9,3,0, ,ZEZR .,11002,45426,7571,37855,0,7571,0,0,0,0,2,1,6,42,45,48.08,150,48,133, ,3,Y,5,2,508500,1387800,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,4.13,4,0,4,1,1004590029,0,38,987024,203846,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,532.4989112,11338.52561,879300,1,0,6063,6063,50,11250,35.86666489,37.20666504,1.340000153,35.95415382,0.30513262,1797.707691 +6064,MN,799,41,104,91,1003,2,3,10010,E001,13,15,5200,1,4,2A,727 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O7,5,0, ,"727 SIXTH AVE, LLC",1636,5752,4927,825,4927,0,0,0,0,0,2,1,4,1,2,24.67,66.25,25,66,E,3,N,5,2,427500,807750,0,0,1894,1989,0, , ,3.52,10,10,10,1,1007990041,0,91,986274,210160,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,187.8973917,1786.582484,380250,2,0,6064,6064,7,1575,29.37700081,29.37700081,0,29.37700081,0,205.6390057 +6065,MN,280,26,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,11 MARKET STREET,C6-1G, , , , , , , , , ,N,K1,5,0, ,PHOENIX LIBERTY INC.,2250,2250,2250,0,0,2250,0,0,0,0,2,1,1,0,1,25,90,25,90, ,0,N,5,5,135000,752850,0,0,2005,0,0, , ,1,3.44,6,6.5,1,1002800026,0,8,985694,199210,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,237.1261968,2337.442533,617850,16,0,6065,6065,10,2250,34.66699982,34.66699982,0,34.66699982,0,346.6699982 +6066,MN,695,7506,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,200 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,R4,3,0, , ,7407,42413,0,42413,0,0,0,0,0,0,2,1,19,15,15,98.76,75,98.76,53.75, ,3,N,3,5,332098,6504751,0,2321081,2007,0,0, , ,5.73,7.52,6,10,1,1006957506,2026,99,982479,212248,8b, ,105S003,10301,E-142,1006950067,5/21/2009,1,1,1,17V1.1,7,353.9443586,7698.860398,6172650,2,1,6066,6066,34,7650,8.576666832,10.11555576,1.538888931,8.777568649,0.268054346,298.4373341 +6067,MN,389,9,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,184 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,184 EAST 7TH STREET H,3069,17205,2867,14338,0,2867,0,0,0,0,2,1,6,20,22,32.58,93,32,92, ,2,N,3,2,225000,545850,225000,338370,1900,0,0, , ,5.61,4,0,4,1,1003890009,0,2602,989501,203363,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,257.497282,3294.114206,320850,12,1,6067,6067,14,3150,9.168999672,12.77000046,3.601000786,9.858610903,1.326526941,138.0205526 +6068,MN,557,31,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,100 4 AVENUE,C6-1, , , , , , , , , ,N,S2,4,0,P,GRACE CHURCH,1573,4500,1800,2700,0,1800,0,0,0,0,2,1,4,2,3,19.58,80.33,19.58,45, ,3,N,5,2,74856,137719,74856,137719,1899,2008,0, , ,2.86,3.44,6,6.5,1,1005570031,0,61,986889,206041,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,199.583371,1567.145954,62863,12,0,6068,6068,6,1350,41.29888916,41.29888916,0,41.29888916,0,247.793335 +6069,MN,418,35,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,106 FORSYTH STREET,C4-4A, , , , , , , , , 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,17V1.1,0,188.2333238,1378.731987,140158,9,0,6093,6093,5,1125,17.50333405,17.50333405,0,17.50333405,0,87.51667023 +6094,MN,16,15,101,317.04,4001,2,1,10280,E010,1,15,8900,1,1,1A,50 BATTERY PLACE,BPC, , , , , ,BPC, , , ,N,D8,3,0,X,DEMATTEIS BATTERY PAR,31141,239165,8400,230765,0,0,8400,0,0,0,2,1,9,208,209,199.59,171.83,198,140, ,1,Y,6,0,5580000,18675450,5580000,18675450,1998,0,0, , ,7.68,0,0,0,1,1000160015,0,31704,979214,196735,12b, ,101S088,10101, ,1000160003,9/30/1988,1,1,1,17V1.1,0,733.8644863,32802.31039,13095500,15,1,6094,6094,147,33075,10.08777809,12.68777752,2.599999428,11.19498916,0.43670833,1645.663406 +6095,MN,877,52,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,158 EAST 22 STREET,C2-8A, , , , , , , , , ,N,C6,2,0,P,158 EAST 22ND ST TENA,1712,4148,700,3448,0,700,0,0,0,0,2,1,4,5,6,17.33,98.75,17,55, ,3,N,5,2,73468,427096,9440,9440,1930,1980,0, , ,2.42,10,2,10,1,1008770052,0,68,988630,208207,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,236.8336889,1660.12629,353628,11,0,6095,6095,8,1800,22.27111053,22.27111053,0,22.27111053,0,178.1688843 +6096,MN,745,14,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,337 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,SJA W 21 ST CORP,4938,20737,0,20737,0,0,0,0,0,0,2,1,6,31,31,50,98.75,50,84, ,3,N,5,2,276300,1844550,0,0,1930,0,0, , ,4.2,3,0,3,1,1007450014,0,89,983945,210687,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,305.8766464,5139.1152,1568250,7,0,6096,6096,22,4950,15.97222233,18.70666695,2.734444618,16.09651527,0.569581793,354.1233358 +6097,MN,587,50,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,49 BARROW STREET,C2-6,R6, , , , , , , , ,Y,B2,1,0, ,"DEWHURST, RONALD RICH",840,1683,0,1683,0,0,0,0,0,0,2,1,3,2,2,21,40,21,25, ,2,N,5,2,20620,95385,0,0,1899,0,0,Greenwich Village Historic District, ,2,3.44,2,6.5,1,1005870050,0,67,983056,205955,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,121.9571909,824.5224988,74765,9,0,6097,6097,3,675,17.76222229,17.76222229,0,17.76222229,0,53.28666687 +6098,MN,209,28,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,261 CANAL STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,267 CANAL STREET CORP,17961,103047,101847,1200,70126,15000,0,16721,0,0,2,1,6,2,32,100,212,100,212, ,0,Y,5,5,1030500,6781950,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,5.74,0,5,6.5,1,1002090028,0,45,984052,201265,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,673.2174484,18787.92237,5751450,0,0,6098,6098,84,18900,11.84555531,15.8255558,3.980000496,11.89293626,0.431661073,999.0066462 +6099,MN,179,47,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3A,23 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0, ,SAMUELSEN 23 LEONARD,2298,14350,3850,10500,0,2976,0,874,0,0,2,1,6,5,6,25.5,91.83,25,82, ,2,Y,5,5,480148,1205100,0,0,1920,1985,2006,Tribeca West Historic District, ,6.24,6.02,6,6.5,1,1001790047,0,33,982151,201124,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,234.4353206,2195.333519,724952,14,1,6099,6099,10,2250,10.17444515,10.17444515,0,10.17444515,0,101.7444515 +6100,MN,820,7502,105,54,1003,2,3,10011,E014,13,15,5700,1,5, ,11 WEST 18 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,4600,17058,4040,13018,0,4040,0,0,0,0,2,1,5,8,10,50,92,0,0, ,0,N,5,5,85857,974000,14980,14980,1931,0,0,Ladies' Mile Historic District, ,3.71,10,10,10,1,1008207502,1038,54,986286,208547,8d, ,102/041,10306, ,1008200031,12/29/1998,1, , ,17V1.1,7,294.0716202,4781.732965,888143,7,0,6100,6100,20,4500,35.79800034,35.79800034,0,35.79800034,0,715.9600067 +6101,MN,556,21,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,62 3 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,62 THIRD AVENUE ASSOC,1852,5003,2869,2134,0,2869,0,0,0,0,2,1,4,0,2,23.75,77.83,23.75,44, ,3,N,5,2,86850,599850,0,0,1901,1980,0, , ,2.7,6.02,6,6.5,1,1005560021,0,42,987296,205703,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,208.8860601,1944.13429,513000,12,0,6101,6101,9,2025,37.71221924,37.71221924,0,37.71221924,0,339.4099731 +6102,MN,766,14,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,247 WEST 16 STREET,R8B, , , , , , , , , ,N,L9,6,0, ,"GOULD, MURIEL",1883,7653,7653,0,0,0,2660,4993,0,0,2,1,3,0,2,38,80,38,70, ,3,Y,5,2,110700,656550,0,0,1910,1986,0, , ,4.06,4,0,4,1,1007660014,0,81,984108,209189,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,241.5674817,3127.28804,545850,7,0,6102,6102,15,3375,21.88888931,23.19877815,1.30988884,21.97621524,0.326743684,329.6432285 +6103,MN,483,17,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,524 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,524 BROADWAYCOMPANY,12372,140988,140988,0,111000,21000,0,8988,0,0,2,1,11,0,18,51.17,200,50,198, ,2,Y,3,2,2790000,49154400,0,0,1902,2016,2014,SoHo-Cast Iron Historic District, ,11.4,0,5,6.5,1,1004830017,0,45,984675,202573,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,561.9088175,13959.21152,46364400,0,0,6103,6103,63,14175,24.68222237,32.57777786,7.895555496,25.94511477,2.752626854,1634.542231 +6104,MN,804,27,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,115 WEST 28 STREET,M1-6, , , , , , , , , ,N,L8,6,0,P,115 WEST 28TH STREET,2126,9884,9884,0,0,2000,0,7884,0,0,2,1,6,0,11,21.42,98.75,21,99, ,3,N,5,2,387000,805050,0,0,1920,2006,0, , ,4.65,0,10,10,1,1008040027,0,95,986680,211277,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,247.6817233,2299.098927,418050,2,0,6104,6104,11,2475,40.67900085,40.67900085,0,40.67900085,0,447.4690094 +6105,MN,572,10,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,64 WEST 9 STREET,C4-5,R6, , , , ,LC, , , ,Y,C5,2,0, ,"61 WEST 8TH ST.,LLC",4696,17382,2600,14782,0,2600,0,0,0,0,2,3,5,16,17,25,187.83,25,112,E,2,N,5,2,283050,2278800,0,0,1900,1987,0,Greenwich Village Historic District, ,3.7,3.44,3.4,6.5,1,1005720010,0,63,984551,206591,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,441.3556883,4891.959735,1995750,8,0,6105,6105,22,4950,18.70499992,20.48333359,1.778333664,18.78583327,0.370424938,413.288332 +6106,MN,885,40,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,151 EAST 29 STREET,R8B, , , , , , , , , ,N,A4,1,0,P,BRENNAN CAROL,1234,2544,0,2544,0,0,0,0,0,0,2,1,4,1,1,12.5,98.75,12.5,50, ,2,N,5,2,42039,109485,0,0,1901,0,0, , ,2.06,4,0,4,1,1008850040,0,72,989562,209976,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,225.8901125,1178.291915,67446,11,0,6106,6106,6,1350,30.56200027,30.56200027,0,30.56200027,0,183.3720016 +6107,MN,426,2,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,217 BOWERY,C6-1, , , , , , , , , ,N,C7,4,0, ,217 BOWERY RLTY CORP,2496,12700,2436,10264,0,2436,0,0,0,0,2,1,6,10,11,28.5,95.33,29,84, ,3,Y,5,2,359100,1353150,0,0,1900,1999,0, , ,5.09,3.44,6,6.5,1,1004260002,0,3601,986157,202207,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,252.225416,2720.07266,994050,13,0,6107,6107,12,2700,41.51444626,41.51444626,0,41.51444626,0,498.1733551 +6108,MN,562,14,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,60 EAST 11 STREET,C6-1, , , , , , , , , ,N,L8,6,0,P,60-62 E. ELEVENTH STR,4019,25894,25894,0,22474,3420,0,0,0,0,2,1,7,0,7,42.42,94.75,41.42,86, ,3,N,5,2,233100,3065400,0,0,1930,0,0, , ,6.44,3.44,6,6.5,1,1005620014,0,61,986334,206224,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,285.3185423,4265.469112,2832300,8,0,6108,6108,20,4500,34.39444351,40.24777603,5.85333252,34.95966568,1.696858701,699.1933136 +6109,MN,197,17,101,31,1003,2,1,10013,L001,5,15,7700,1,1,3B,133 CENTRE STREET,C6-4, , , , , , , , , ,N,O3,5,1,C,DCAS,5100,41000,41000,0,41000,0,0,0,0,0,2,1,8,0,1,91,54.5,91,54, ,0,Y,3,2,535500,3964500,535500,3964500,1915,0,0, , ,8.04,10,10,10,1,1001970017,0,31,984003,200569,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,305.9993951,5565.887065,3429000,14,0,6109,6109,25,5625,13.85000038,13.85000038,0,13.85000038,0,346.2500095 +6110,MN,620,48,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,363 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,KWONG Y. YEE IRREVOCA,802,2448,612,1836,0,612,0,0,0,0,2,1,4,1,2,17,47,17,35, ,3,Y,5,5,31820,100823,5000,5000,1910,0,0,Greenwich Village Historic District, ,3.05,3.44,2,6.5,1,1006200048,0,73,982990,206890,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,139.3930196,917.0042694,69003,9,0,6110,6110,4,900,24.70777702,24.70777702,0,24.70777702,0,98.83110809 +6111,MN,297,17,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,25 ESSEX STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,"NO.1 GOLDEN MOUNTAIN,",1560,4930,4930,0,0,1560,0,3370,0,0,2,2,4,0,8,25,62.42,25,36, ,3,N,3,5,79200,490050,0,0,1900,1983,0, , ,3.16,6.02,6,6.5,1,1002970017,0,16,987012,199962,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,188.6856627,1831.421847,410850,13,0,6111,6111,8,1800,32.98300171,33.41222382,0.429222107,33.11065435,0.169986619,264.8852348 +6112,MN,771,50,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,220 WEST 22 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,JOHN B LEVENTHAL,1975,3815,0,2850,0,0,0,0,0,0,2,1,3,2,2,20,98.75,20,53,E,3,N,5,1,173246,347192,0,0,1901,1971,2013, , ,1.93,4,0,4,1,1007710050,0,87,985073,210176,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,243.4699082,2122.828889,173946,7,0,6112,6112,9,2025,22.72999954,28.03888893,5.308889389,24.45148108,2.05674548,220.0633297 +6113,MN,208,13,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1A,3 HOWARD STREET,M1-5B, , , , , , , , , ,N,K2,5,0,P,"CENTRE PLAZA, L.L.C.",2562,4656,4656,0,0,4656,0,0,0,0,2,1,2,0,2,25.5,100.67,25.5,92, ,0,Y,5,5,118800,586800,0,0,1915,0,0, , ,1.82,0,5,6.5,1,1002080013,0,45,984350,201179,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,266.833758,2893.439463,468000,0,0,6113,6113,13,2925,14.81400013,16.64777756,1.833777428,15.10986335,0.589332469,196.4282236 +6114,MN,201,1,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,72 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,JANCO REALTY CORP,3637,18865,3552,15313,0,3552,0,0,0,0,2,1,6,30,33,48.08,75,48,74, ,3,N,3,2,313200,2441700,0,0,1910,1986,0, , ,5.19,3.44,6,6.5,1,1002010001,0,29,984736,200036,12c,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,255.241167,3877.053979,2128500,14,0,6114,6114,19,4275,33.0379982,33.6222229,0.584224701,33.0927118,0.160880686,628.7615242 +6115,MN,563,7502,102,61,2000,2,2,10003,L003,6,15,5700,3,2, ,42 EAST 12 STREET,C6-1, , , , , , , , , ,N,R1,2,0, ,42 EAST 12 ST CONDOMI,2643,10080,0,10080,0,0,0,0,0,0,2,1,7,6,6,26.5,103,0,0, ,0,N,5,5,71669,948665,2360,2360,1900,0,0, , ,3.81,3.44,6,6.5,1,1005637502,453,61,986475,206447,12c, ,103 025,10207, ,1005630027,2/8/1988,1, , ,17V1.1,7,270.357758,2762.979698,876996,8,0,6115,6115,12,2700,36.72733307,42.11555481,5.388221741,37.4669075,1.404901456,449.60289 +6116,MN,670,50,104,99,1032,2,3,10001,E003,10,15,5500,1,4,2B,239 11 AVENUE,M1-5, , , , , , , , , ,N,Y6,7,0,C,SANITATION,82301,630078,630078,0,0,5000,412728,0,0,212350,2,1,6,0,1,185,593,116,593, ,1,Y,3,2,8888400,30058200,8888400,30058200,1994,0,0, , ,7.66,0,5,6.5,1,1006700050,0,99,982195,212943,8b, ,105S001,10301, ,1006700050,11/28/1988,1,1,1,17V1.1,0,1531.551192,82903.57251,21169800,2,1,6116,6116,369,83025,6.187777519,9.771111488,3.583333969,6.294742438,0.466150089,2322.75996 +6117,MN,454,39,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,209 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S2,4,0, ,"LAM, DICK G.",1713,3804,951,2853,0,951,0,0,0,0,2,1,4,2,3,19.92,86,20,45, ,3,N,5,5,26347,46448,0,0,1900,1988,0, , ,2.22,4,0,4,1,1004540039,0,40,988810,205430,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,218.7870761,1853.690572,20101,12,0,6117,6117,9,2025,22.37666702,23.94333267,1.566665649,22.60572857,0.497452728,203.4515572 +6118,MN,199,12,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,216 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,216-220 CANAL CORP,2510,6558,1000,5558,0,1000,0,0,0,0,2,1,5,8,10,24.33,100.92,24,50, ,3,Y,5,2,83103,462143,0,0,1915,1988,0, , ,2.61,3.44,6,6.5,1,1001990012,0,29,984449,200516,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,265.4033689,2826.089323,379040,14,0,6118,6118,13,2925,22.37599945,25.47777748,3.10177803,23.44237562,1.152047497,304.7508831 +6119,MN,437,13,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,264 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,HERLIEN SECOND LLC,2306,4578,0,4578,0,0,0,0,0,0,2,1,4,7,7,25,92.25,25,48, ,3,N,5,2,86057,344051,0,0,1900,1984,0, , ,1.99,4,0,4,1,1004370013,0,34,988754,204597,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,237.6081846,2349.421532,257994,12,0,6119,6119,10,2250,17.51666641,19.15444374,1.637777328,17.68044415,0.491333199,176.8044415 +6120,MN,522,12,102,55.02,2005,2,1,10012,L009,9,15,5700,1,2,2A,636 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,BROADWAY ASSOCIATES,9817,131743,131743,0,111743,20000,0,0,0,0,2,1,12,0,81,50.25,196.33,50,190, ,3,N,4,1,2209500,17565750,0,0,1900,0,0,NoHo Historic District, ,13.42,0,5,6.5,1,1005220012,0,5502,985472,203828,12c, ,103 010,10206, ,0, ,1, , 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,17V1.1,0,302.2028668,5055.045775,520650,2,0,6143,6143,23,5175,33.45800018,41.81111145,8.353111267,34.1702997,2.308606499,785.916893 +6144,MN,614,18,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,28 BANK STREET,R6, , , , , , , , , ,N,C0,2,0,P,LAURIE BROWN-NAGIN 20,1860,3360,0,2880,0,0,0,0,0,0,2,1,3,3,3,19.58,93,19.58,42,E,3,Y,5,1,44898,190771,0,0,1910,0,0,Greenwich Village Historic District, ,1.81,2.43,0,4.8,1,1006140018,0,77,983524,207714,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,232.9373377,1874.96898,145873,8,0,6144,6144,8,1800,26.80333328,30.30999947,3.506666183,28.0245831,1.330133379,224.1966648 +6145,MN,172,13,101,31,1007,2,1,10013,L001,5,15,7700,1,1,3A,83 WHITE STREET,C6-4A, , , , , , , , , ,N,F5,6,0,P,TUNGDOT INC,5033,25000,25000,0,0,0,0,5000,20000,0,2,1,5,0,5,50.33,100,50,100, ,3,Y,5,2,315000,913500,0,0,1915,0,0,Tribeca East Historic District, ,4.97,10,10,10,1,1001720013,0,31,983630,200639,12a, ,101S034,10105, ,0, ,1, , 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,17V1.1,0,243.470016,2370.213535,1374300,8,0,6147,6147,11,2475,24.5988884,27.56111145,2.962223053,24.8681814,0.851579253,273.5499954 +6148,MN,799,57,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,130 WEST 24 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,ALLOFUS TENNANTS INC,7455,33514,6800,26714,0,6800,0,0,0,0,2,1,5,10,13,76,98.75,76,93, ,3,N,5,2,383400,3762900,9440,9440,1898,1977,0, , ,4.5,0,10,10,1,1007990057,0,91,985935,210335,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,344.3487792,7232.033464,3379500,2,0,6148,6148,32,7200,29.26199913,36.94333267,7.681333542,29.85063124,1.525949211,955.2201996 +6149,MN,589,35,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,317 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,S2,4,0, ,321 SIXTH AVENUE PART,1790,3356,465,2891,0,465,0,0,0,0,2,1,4,2,3,17.83,100,18,45, ,3,Y,5,2,64136,165888,0,0,1920,1986,0,Greenwich Village Historic District Exte, ,1.87,3.44,0,6.5,1,1005890035,0,67,983742,205623,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,249.9059235,1974.3295,101752,9,0,6149,6149,9,2025,15.87222195,20.73666573,4.864443779,17.45987617,2.246444162,157.1388855 +6150,MN,630,37,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,7 GREENWICH MEWS,R6, , , , , , , , , ,N,A9,1,0, ,CASA GREENWICH MEWS L,776,2800,0,2092,0,0,0,0,0,0,2,1,3,1,1,36,20,35,20, ,3,Y,5,1,56210,174182,0,0,1989,0,0,Greenwich Village Historic District, ,3.61,2.43,0,4.8,1,1006300037,0,75,982302,206423,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,116.8700042,787.5814614,117972,9,0,6150,6150,4,900,18.16222191,18.16222191,0,18.16222191,0,72.64888763 +6151,MN,189,35,101,33,3016,2,1,10013,E007,1,15,7700,1,1,3A,10 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,Y1,8,0,C,FIRE DEPARTMENT,2863,6093,6093,0,6093,0,0,0,0,0,2,1,3,0,0,39.58,83.25,25,75, ,0,Y,3,2,228150,639900,228150,639900,1920,0,0,Tribeca West Historic District, ,2.13,6.02,6,6.5,1,1001890035,0,33,982421,201436,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,247.5895966,3279.934915,411750,14,1,6151,6151,12,2700,10.09599972,10.61555576,0.519556046,10.19603682,0.181486576,122.3524418 +6152,MN,876,18,106,50,1000,2,2,10003,E005,13,14,5300,1,6,1A,34 GRAMERCY PARK EAST,R9A,C1-9A, , , , , , , , ,Y,D4,3,0,P,THE GRAMERCY CO,9475,80000,0,80000,0,0,0,0,0,0,2,1,10,45,45,61,125,61,128, ,3,Y,3,2,1566000,8091450,139495,139495,1909,1988,0,Gramercy Park Historic District, ,8.44,7.52,0,7.52,1,1008760018,0,50,988417,207910,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,463.0649483,9465.993632,6525450,5,0,6152,6152,42,9450,24.27599907,27.25755501,2.981555939,24.37661811,0.471100231,1023.817961 +6153,MN,771,57,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,234 WEST 22 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,ALBERT J. ZUCKERMAN Q,1632,4080,0,4080,0,0,0,0,0,0,2,1,4,1,1,17,96,17,60, ,3,N,5,2,48032,143308,3726,3726,1920,1986,0, , ,2.5,4,0,4,1,1007710057,0,87,984952,210245,8d, ,103 034,10304, ,1007710057,2/14/1994,1, , ,17V1.1,0,226.0219932,1495.023452,95276,7,0,6153,6153,7,1575,22.72999954,25.24111176,2.511112213,23.30857113,0.950988064,163.1599979 +6154,MN,846,26,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,860 BROADWAY,C6-4,M1-5M, , , , ,US, , , ,Y,O5,5,0, ,860 BROADWAY LLC,11250,75799,75799,0,64799,11000,0,0,0,0,2,1,6,0,6,42.83,101,40,100, ,3,Y,3,2,4050000,15899850,0,0,1926,1979,0,Ladies' Mile Historic District, ,6.74,10,10,10,1,1008460026,0,52,987073,207848,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,565.5714802,11914.52673,11849900,7,0,6154,6154,51,11475,41.51599884,44.26222229,2.74622345,41.57539323,0.381993168,2120.345055 +6155,MN,819,7502,105,54,1004,2,3,10011,E014,13,15,5700,1,5, ,63 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,7471,43097,11816,31281,0,5586,0,0,0,6230,2,1,10,17,22,81.21,92,81,92, ,3,N,3,5,1394548,8986046,14160,14160,1961,0,0, , ,5.77,6.02,6,6.5,1,1008197502,1330,54,985624,208634,8d, ,102 041,10306, ,1008190001,3/31/2004,1, , ,17V1.1,7,368.1405142,8425.350296,7591500,7,0,6155,6155,38,8550,32.36888886,33.67889023,1.310001373,32.49172512,0.361225636,1234.685555 +6156,MN,753,17,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,337 WEST 29 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,DUDLEY C VANVLACK,2173,5060,0,4136,0,0,0,0,0,0,2,1,4,3,3,22,98.75,22,47,E,3,N,5,1,78744,197571,0,0,1900,1968,0,Lamartine Place Historic District, ,2.33,4,0,4,1,1007530017,0,97,985003,212501,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,250.2532025,2284.743874,118827,6,0,6156,6156,9,2025,28.20800018,34.41999817,6.211997986,30.78135766,2.886067103,277.0322189 +6157,MN,436,19,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,422 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,422 E. 9TH LLC,1672,5265,1053,4212,0,1053,0,0,0,0,2,1,5,10,11,18.75,90.25,19,54, ,3,N,5,1,83250,1026450,0,0,1900,0,0, , ,3.15,4,0,4,1,1004360019,0,32,988714,204339,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,230.3813366,1819.891705,943200,12,0,6157,6157,8,1800,17.84799957,21.6977787,3.849779129,19.0511663,1.644813017,152.4093304 +6158,MN,406,48,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,531 EAST 12 STREET,R8B, , , , , , , , , ,N,D9,3,0,P,12TH ZELPROP LLC,5163,29960,2000,27960,2000,0,0,0,0,0,2,1,7.5,26,27,50,103.25,0,0, ,3,N,5,2,329400,4761900,0,689669,2009,0,0, , ,5.8,4,0,4,1,1004060048,0,34,989868,204749,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,312.6369322,5315.906243,4432500,12,1,6158,6158,24,5400,11.35888863,13.44088936,2.082000732,12.14607871,0.731435665,291.5058889 +6159,MN,93,28,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,45 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,C7,4,0, ,45 BEEKMAN HOLDING LL,2160,11079,2391,8688,0,2391,0,0,0,0,2,1,5,8,9,23.67,109.83,23.67,109.83, ,0,Y,5,5,138261,486277,0,0,1900,2016,0, , ,5.13,10,10,10,1,1000930028,0,1501,982710,197954,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,269.4647592,2685.451107,348016,4,0,6159,6159,10,2250,25.50699997,25.96000099,0.453001022,25.55230007,0.135900307,255.5230007 +6160,MN,539,14,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,90 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0,P,237 SULLIVAN LLC,2795,9807,2796,7011,0,2796,0,0,0,0,2,1,4.5,18,21,50,55.92,50,56, ,2,N,3,2,585000,2311650,0,0,1935,0,0,South Village Historic District, ,3.51,3.44,0,6.5,1,1005390014,0,65,984439,205185,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,220.0926555,3020.381621,1726650,9,0,6160,6160,13,2925,25.23555565,26.33888817,1.10333252,25.32042738,0.294004305,329.165556 +6161,MN,457,32,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,29 2 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0,P,HPG 29 2ND AVE LLC,2277,5794,3244,2550,0,3244,0,0,0,0,2,1,4,2,3,16.5,70,17,69, ,3,Y,5,2,180000,694350,0,0,1900,2004,0, , ,2.54,6.02,6,6.5,1,1004570032,0,3602,986779,203304,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,193.4772666,1742.734542,514350,1,0,6161,6161,7,1575,41.87900162,41.87900162,0,41.87900162,0,293.1530113 +6162,MN,611,74,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,149 WEST 10 STREET,R6, , , , , , , , , ,N,B2,1,0, ,"WHELAN, MARGARET",1606,4538,0,3938,0,0,0,0,0,0,2,1,3,2,2,22,73,22,73,E,3,N,5,1,83997,228960,0,0,1920,2005,2005,Greenwich Village Historic District, ,2.83,2.43,0,4.8,1,1006110074,0,71,983926,206942,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,199.8619852,1674.873158,144963,8,0,6162,6162,7,1575,19.84000015,19.84000015,0,19.84000015,0,138.8800011 +6163,MN,402,60,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,511 EAST 6 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,CHERNY PROPERTIES INC,2150,6152,800,5352,0,800,0,0,0,0,2,1,5,8,9,23.67,90.83,25,54, ,3,N,5,2,67747,379034,0,0,1920,1988,1997, , ,2.86,3,0,3,1,1004020060,0,32,988931,203540,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,233.9961738,2212.913422,311287,1,0,6163,6163,11,2475,12.85000038,16.23999977,3.38999939,13.67050518,1.155449413,150.3755569 +6164,MN,636,33,102,75,1006,2,3,10014,L005,6,15,6400,1,2,2B,171 CHRISTOPHER STREET,C1-6A, , , , , , , , , ,N,K1,5,0, ,WILLIAM GOTTLIEB,2096,2690,2690,0,0,2690,0,0,0,0,2,1,1,0,1,22,95.25,22,95.25, ,0,N,5,5,315000,474750,0,0,1946,0,0, , ,1.28,4,2,4,1,1006360033,0,75,981705,206266,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,241.3259778,2255.684878,159750,9,1,6164,6164,10,2250,10.4289999,10.59577751,0.166777611,10.44567766,0.050033283,104.4567766 +6165,MN,576,16,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,42 WEST 13 STREET,C6-2, , , , , , , , , ,N,D4,3,0, ,4213 VILLAGE CORP,8550,31540,0,31540,0,0,0,0,0,0,2,1,5,40,40,84.83,103.25,85,96, ,3,Y,5,2,621000,3326400,99508,99508,1960,1988,0, , ,3.69,6.02,6,6.5,1,1005760016,0,63,985247,207430,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,369.949773,8744.415098,2705400,8,0,6165,6165,40,9000,23.70299912,28.38666725,4.683668137,24.14472694,1.326836146,965.7890778 +6166,MN,532,20,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,77 BLEECKER STREET,C6-2, , , , , , , , , ,N,D0,3,0, ,77 BLEECKER ST CORP,31000,196920,4920,192000,0,4920,0,0,0,0,2,5,5,243,251,95,200,95,90, ,0,Y,5,5,2389500,27816300,166435,166435,1930,1979,0,NoHo Historic District, ,6.35,6.02,6,6.5,1,1005320020,0,5501,985376,204188,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,861.2798942,31814.33917,25426800,9,0,6166,6166,141,31725,35.57088852,37.94111252,2.370223999,35.70867111,0.469464279,5034.922627 +6167,MN,179,60,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,153 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,A4,1,0, ,153 FRANKLIN LLC,1716,5148,0,5148,0,0,0,0,0,0,2,1,3,1,1,26.83,71.17,26.83,55, ,3,Y,5,2,86787,217455,0,0,1915,0,0,Tribeca West Historic District, ,3,6.02,6,6.5,1,1001790060,0,33,982047,201245,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,187.9283722,1758.767135,130668,14,1,6167,6167,8,1800,10.17444515,10.17444515,0,10.17444515,0,81.39556122 +6168,MN,411,39,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,86 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,J JEAN REALTY INC,1880,6306,1800,4506,0,1800,0,0,0,0,2,1,6,15,17,25,75.25,25,74, ,2,N,3,2,231300,1296450,0,0,1920,1987,0, , ,3.35,4,4,4,1,1004110039,0,3001,987323,201746,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,213.0247295,2146.273432,1065150,13,0,6168,6168,9,2025,31.68099976,31.68099976,0,31.68099976,0,285.1289978 +6169,MN,393,56,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,355 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0,X,LOWER EAST SIDE I ASS,7050,38520,0,38520,0,0,0,0,0,0,2,1,6,33,33,75,94,75,89, ,2,N,1,1,648000,3276450,648000,3276450,1920,1981,0, , ,5.46,4,0,4,1,1003930056,0,28,990062,204047,12c, ,102 022,10203, ,1003930014,11/21/2005,1, ,1,17V1.1,0,349.013761,7481.839928,2628450,12,1,6169,6169,34,7650,7.409999847,10.93444443,3.52444458,7.653235169,0.683531011,260.2099957 +6170,MN,765,9,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,253 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CHELSEA DVLPMNT CO,2615,9980,0,9980,0,0,0,0,0,0,2,1,5,20,20,25.33,103.25,25,92, ,3,N,5,2,161550,1070550,0,0,1901,1987,0, , ,3.82,4,0,4,1,1007650009,0,81,983931,208997,8b,Y,103 032,10304, ,0, ,1, , ,17V1.1,0,257.6887838,2474.689654,909000,7,0,6170,6170,12,2700,22.05333328,22.05333328,0,22.05333328,0,264.6399994 +6171,MN,927,21,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,335 EAST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,335 ASSOCIATES,2500,5100,0,5100,0,0,0,0,0,0,2,1,4,16,16,25,100,25,60, ,3,N,5,2,135000,600750,0,0,1910,0,0, , ,2.04,4,0,4,1,1009270021,0,64,989791,207449,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,258.2684994,2586.867671,465750,5,0,6171,6171,11,2475,12.9244442,16.50444412,3.579999924,14.46452505,1.692222424,159.1097755 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,N,D6,4,0,O,N Y C HOUSING AUTHORI,212250,644053,10000,634053,10000,0,0,0,0,0,2,5,20,721,724,566.67,484,150,49, ,1,Y,1,2,14309550,36168300,14309550,36168300,1963,2012,0, , ,3.03,3.44,0,6.5,1,1002550001,0,6,986585,198586,12d, ,101N053,10106, ,0, ,1, , ,17V1.1,0,2500.36687,226932.5304,21858800,16,1,6174,6174,1008,226800,11.76222229,28.85000038,17.08777809,21.18648208,4.055196524,21355.97393 +6175,MN,778,48,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,214 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,WALSAM TWENTY-NINE CO,10340,125042,125042,0,116685,8357,0,0,0,0,2,1,16,0,74,99.5,98.75,100,99, ,3,Y,5,2,774000,10479150,0,0,1925,0,0, , ,12.09,10,10,10,1,1007780048,0,95,985913,211818,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,435.1423092,10665.69992,9705150,6,0,6175,6175,48,10800,28.45999908,32.15444565,3.694446564,28.67886488,0.849296318,1376.585514 +6176,MN,441,7501,103,34,4000,1,2,10009,L011,9,14,6200,4,3, ,400 EAST 14 STREET,C1-7A, , , , , , , , , ,N,RM,4,0,P,THE CROSSINGS,12821,31711,10085,21626,0,9175,0,0,0,910,2,2,5,40,42,129.5,99,0,66, ,0,N,5,5,1709999,5519252,96192,266369,1911,1984,0, , ,2.47,6.02,2,6.5,1,1004417501,292,34,989095,205588,12c, ,102 028,10205, ,1004410004,4/20/1987,1, , ,17V1.1,7,397.9597797,8966.469641,3809250,12,0,6176,6176,40,9000,17.51499939,21.98444366,4.469444275,18.50023565,1.696848882,740.0094261 +6177,MN,753,13,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,345 WEST 29 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,PHINQUE MUTUAL HOUSIN,2173,6050,0,6050,0,0,0,0,0,0,2,1,4,6,6,22,98.75,22,54, ,3,N,5,1,65565,304952,2360,2360,1900,1984,0,Lamartine Place Historic District, ,2.78,4,0,4,1,1007530013,0,97,984927,212543,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,253.2926221,2441.186014,239387,6,0,6177,6177,10,2250,28.20800018,33.99000168,5.782001495,30.18973389,2.267331079,301.8973389 +6178,MN,435,33,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,119 AVENUE A,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,119 AVENUE A REALTY C,2425,7450,3600,3850,0,3600,0,0,0,0,2,1,4,6,7,24.25,100,24.25,50,E,0,N,5,5,114901,329258,0,0,1900,1995,0, , ,3.07,4,0,4,1,1004350033,0,32,988804,203961,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,256.6012873,2527.225773,214357,12,0,6178,6178,10,2250,18.91933441,19.40711021,0.487775803,19.05115528,0.125941197,190.5115528 +6179,MN,348,40,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,90 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,D6,4,0, ,90-96 CLINTON ST.,7608,38498,12000,26498,0,12000,0,0,0,0,2,1,6,35,36,76.08,100,76,95, ,3,N,5,2,450000,4700700,0,0,1900,1959,0, , ,5.06,4,0,4,1,1003480040,0,1402,988350,200962,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,359.0953669,7878.90818,4250700,13,0,6179,6179,35,7875,23.08555603,27.69999886,4.614442825,23.47749247,1.280142933,821.7122364 +6180,MN,871,25,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,14 IRVING PLACE,R8A, , , , , , , , , ,N,M9,8,0,X,LUTHERAN SEAMENS CENT,3320,28000,28000,0,0,0,0,0,0,28000,2,1,11,0,1,41.5,80,41,80, ,3,N,3,2,634500,2142000,634500,2142000,1964,1987,0, , ,8.43,6,0,6,1,1008710025,0,50,987586,206937,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,258.4641007,3809.797709,1507500,5,0,6180,6180,16,3600,33.78900146,38.0359993,4.246997833,34.25389028,1.244059636,548.0622444 +6181,MN,765,53,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,216 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CHELSEA VILLAGE LLC,5163,18880,0,18880,0,0,0,0,0,0,2,2,5,30,30,50,103.25,49,92, ,3,N,5,2,315900,1012500,0,0,1910,0,0, , ,3.66,4,0,4,1,1007650053,0,81,984293,208917,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,311.3565897,5311.672434,696600,7,0,6181,6181,24,5400,22.05333328,23.5466671,1.493333817,22.11555552,0.298407391,530.7733326 +6182,MN,633,46,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,749 GREENWICH STREET,C1-6, , , , , , , , , ,N,K4,4,0,P,SCC GREENWICH REALTY,1170,4400,3200,1200,0,2400,0,800,0,0,2,2,3,1,2,20,50.17,38,35, ,3,Y,3,2,245250,2126700,0,0,1890,2005,0,Greenwich Village Historic District, ,3.76,3.44,2,6.5,1,1006330046,0,75,982399,207276,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,151.7669017,1297.899686,1881450,8,0,6182,6182,5,1125,19.46666718,21.5,2.033332825,19.87333374,0.81333313,99.3666687 +6183,MN,780,6,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,263 WEST 30 STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,263 WEST 30TH INC,2469,6970,1500,5470,0,1500,0,0,0,0,2,1,3,2,3,25,98.75,25,99,E,3,N,5,2,147600,833850,0,0,1910,1987,0, , ,2.82,0,5,6.5,1,1007800006,0,101,985729,212390,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,251.0862979,2461.240419,686250,6,0,6183,6183,12,2700,31.09600067,31.09600067,0,31.09600067,0,373.1520081 +6184,MN,769,64,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,248 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,245 REALTY L.L.C. C/O,2000,7789,0,7789,0,0,0,0,0,0,2,1,5,13,13,25,82,25,48, ,3,Y,5,1,77400,716850,0,0,1901,2001,0, , ,3.89,4,0,4,1,1007690064,0,87,984444,209964,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,213.1179837,1943.024524,639450,7,0,6184,6184,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +6185,MN,642,65,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,75 JANE STREET,R6, , , , , , , , , ,N,A4,1,0, ,75 JANE STREET LLC,1803,5040,0,3948,0,0,0,0,0,0,2,1,3,1,1,20.67,87.42,21,52, ,0,N,5,1,237173,311338,0,0,1901,2010,0,Greenwich Village Historic District, ,2.8,2.43,0,4.8,1,1006420065,0,79,982288,208268,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,228.4348322,1966.726575,74165,8,1,6185,6185,12,2700,10.79777813,10.79777813,0,10.79777813,0,129.5733376 +6186,MN,237,20,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,141 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,HONG TAI REALTY INC,2354,9815,1900,7915,0,1900,0,0,0,0,2,2,5,19,20,23.83,99.25,24,62, ,3,Y,5,5,117450,405000,0,0,1890,1987,0, , ,4.17,6.02,6,6.5,1,1002370020,0,41,985111,201131,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,251.9151459,2428.873338,287550,0,0,6186,6186,11,2475,26.23111153,31.40799904,5.176887512,30.59864564,1.744541017,336.5851021 +6187,MN,966,1,106,86.01,2003,2,4,10016,L007,17,13,5000,1,6,2B,606 1 AVENUE,C1-9, , , , , , , , , ,N,D7,4,0,P,UDR RIVERGATE LLC,71692,835279,24488,810791,0,1744,22744,0,0,0,2,1,34,739,742,197.5,363.08,192,226, ,1,Y,1,0,19710000,118143000,0,0,1985,1970,0, , ,11.65,10,2,10,1,1009660001,0,8601,991860,210278,8d, ,104 026,10310, ,0, ,1,1,1,17V1.1,0,1111.95669,70737.49861,98433000,10,1,6187,6187,314,70650,7.329999924,11.42333317,4.093333244,8.324131241,0.846887846,2613.77721 +6188,MN,602,30,102,69,1008,2,3,10014,E024,6,15,6400,1,2,1B,603 WASHINGTON STREET,M1-5/R7X,M1-5, , , , ,MX-6, , , ,Y,D4,3,0, ,GREENWICH NEWS TENANT,15777,70342,1600,68742,0,0,0,0,0,1600,2,3,5,31,34,93.75,179.5,20,93, ,3,Y,4,5,1170000,7667550,33040,33040,1880,1979,0, , ,4.46,5,5,5,1,1006020030,0,69,981874,205503,12a, ,103 001,10208, ,0, ,1, , ,17V1.1,0,553.3712035,15439.17856,6497550,9,0,6188,6188,67,15075,12.62777805,13.52000046,0.892222404,12.64649778,0.116133336,847.3153515 +6189,MN,823,79,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,688 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K2,5,0,P,FRANCMEN 688 LLC,2916,8298,8298,0,0,8298,0,0,0,0,2,1,3,0,5,49.42,59,49.42,59, ,0,N,3,2,450000,3015000,0,0,1910,1985,2012,Ladies' Mile Historic District, ,2.85,6.02,6,6.5,1,1008230079,0,58,986152,209607,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,223.4770031,3098.926294,2565000,7,0,6189,6189,13,2925,33.74333191,34.51644516,0.773113251,33.91292191,0.269646061,440.8679848 +6190,MN,376,58,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,709 EAST 6 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,GRAND STREET SETTLEME,13480,65526,0,65526,0,0,0,0,0,0,2,1,8,78,78,148.04,90.87,148,90, ,0,N,5,5,949500,3414600,949500,3414600,2004,0,0, , ,4.86,4,0,4,1,1003760058,0,2602,990220,202826,12c, ,102 023,10202, ,1003760058,8/5/2008,1, ,1,17V1.1,0,481.5041299,13746.94627,2465100,12,1,6190,6190,62,13950,7.864444256,11.31000042,3.445556164,8.73071316,1.171714635,541.3042159 +6191,MN,886,73,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,126 EAST 31 STREET,C6-2A,C4-5A, , , , , , , , ,Y,D5,3,0, ,MARYLU LLC,2222,12266,0,12266,0,0,0,0,0,0,2,1,3,11,11,22.5,98.75,22.5,48,E,3,N,5,1,450000,1327500,0,0,1915,2008,0, , ,5.52,6.02,6,6.5,1,1008860073,0,72,989333,210513,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,246.7015653,2204.69728,877500,10,0,6191,6191,9,2025,31.11777687,33.23199844,2.114221573,32.76278877,0.877811893,294.865099 +6192,MN,465,22,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,35 STUYVESANT STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"CARLUCCI, ROCCO",498,2560,0,2560,0,0,0,0,0,0,2,1,5,2,2,32,16,32,16, ,3,Y,5,2,25556,71662,3380,3380,1901,2008,0,St. Mark's Historic District, ,5.14,4,0,4,1,1004650022,0,40,987574,205261,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,97.66283521,546.2496456,46106,12,0,6192,6192,3,675,33.48777771,33.48777771,0,33.48777771,0,100.4633331 +6193,MN,804,36,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,819 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,D7,4,0,P,SIXTH AVE 819 CO LLC,1912,7537,1950,5587,0,1950,0,0,0,0,2,1,5,8,9,24.67,77.5,25,78,E,3,N,5,2,152129,469163,0,0,1901,0,0, , ,3.94,10,10,10,1,1008040036,0,95,986845,211201,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,206.8415466,2003.563449,317034,2,0,6193,6193,9,2025,40.67900085,40.67900085,0,40.67900085,0,366.1110077 +6194,MN,589,7501,102,67,1002,2,3,10014,E024,6,15,6400,1,2, ,2 CORNELIA STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,TWO CORNELIA CONDO AS,5062,53542,4500,49042,0,4500,0,0,0,0,2,1,12,43,44,115,106,0,0, ,0,Y,5,5,1781999,10295100,35362,43180,1929,1981,0,Greenwich Village Historic District Exte, ,10.58,3.44,0,6.5,1,1005897501,48,67,983864,205800,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,7,325.9318554,5469.394339,8513100,9,0,6194,6194,25,5625,15.87222195,18.86444473,2.992222786,16.11191971,0.770012315,402.7979927 +6195,MN,526,73,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,172 SULLIVAN STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,WINTOUR ANNA,2202,3960,0,3960,0,0,0,0,0,0,2,1,4,1,1,22,100.08,22,45, ,3,N,5,5,52937,218392,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.8,3.44,0,6.5,1,1005260073,0,65,983894,204568,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,250.8811868,2300.02932,165455,9,0,6195,6195,11,2475,23.22699928,24.29777908,1.0707798,23.57412096,0.451189423,259.3153305 +6196,MN,435,5,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,124 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"IRYNAK, LLC",2287,7010,1402,5608,0,1402,0,0,0,0,2,1,5,7,8,24.33,94,24,94,E,3,N,5,2,79781,265857,0,0,1910,0,0, , ,3.07,4,0,4,1,1004350005,0,32,988338,204192,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,239.3933017,2307.446472,186076,12,0,6196,6196,10,2250,20.24200058,25.63222313,5.390222549,20.78102283,1.617066765,207.8102283 +6197,MN,438,27,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,173 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"173 AVENUE A, LLC.",2225,11955,2200,9755,0,2200,0,0,0,0,2,1,6,20,22,23.67,94,24,94, ,3,N,3,2,253350,1685250,0,0,1920,1986,0, , ,5.37,4,0,4,1,1004380027,0,34,989203,204676,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.2934029,2517.084219,1431900,12,0,6197,6197,11,2475,17.68244553,18.59000015,0.907554626,18.01491945,0.218122535,198.164114 +6198,MN,448,24,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,80 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,76-80 EAST 7TH STREET,3406,13837,2925,10912,0,2925,0,0,0,0,2,1,6,22,24,37.5,90.83,38,76, ,3,N,5,2,359100,1657800,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.06,4,0,4,1,1004480024,0,38,987993,204167,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,264.7357041,3527.025288,1298700,12,0,6198,6198,16,3600,27.1590004,28.20544434,1.046443939,27.31947243,0.336698273,437.1115589 +6199,MN,637,66,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,702 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,C6,2,0,X,WVH HOUSING DEVELOPME,17242,59820,0,59820,0,0,0,0,0,0,2,5,5,72,72,206.42,102,62,126, ,0,Y,3,5,841500,2101950,841500,2101950,1974,0,0, , ,3.47,4,2,4,1,1006370066,0,75,981851,207101,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,596.0299915,17381.04182,1260450,9,1,6199,6199,77,17325,11.9586668,17.06666565,5.107998848,13.92144021,0.881062946,1071.950896 +6200,MN,908,13,106,66,2001,2,2,10016,E016,13,14,5800,1,6,1B,217 EAST 27 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,219 E 27 ST CORP,4020,18792,0,18792,0,0,0,0,0,0,2,1,6,24,24,41.33,98.75,41,86, ,3,N,5,2,225000,1035000,0,0,1920,1988,0, , ,4.67,4,0,4,1,1009080013,0,66,989717,209301,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,282.3750899,4099.85916,810000,11,0,6200,6200,18,4050,39.05888748,39.05888748,0,39.05888748,0,703.0599747 +6201,MN,426,44,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,8 RIVINGTON STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,8-10 RIVINGTON REALTY,3230,14928,2300,12628,0,2300,0,0,0,0,2,1,6,25,27,38,85,38,72, ,0,N,5,2,270000,1626300,0,0,1920,2004,0, , ,4.62,3.44,6,6.5,1,1004260044,0,3601,986270,202168,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,252.3720097,3351.045172,1356300,13,0,6201,6201,16,3600,41.51444626,43.90000153,2.385555267,41.81243229,0.788397151,668.9989166 +6202,MN,563,33,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,815 BROADWAY,C6-1, , , , , , , , , ,N,K2,5,0, ,BROADWAY REALTY ASSOC,2475,4752,4752,0,0,2752,0,0,0,2000,2,1,2,1,3,24.75,100,24.75,100, ,3,N,5,2,141300,749700,0,0,1930,1987,0, , ,1.92,3.44,6,6.5,1,1005630033,0,61,986613,206353,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,259.6224671,2679.457936,608400,8,0,6202,6202,13,2925,37.07600021,37.07600021,0,37.07600021,0,481.9880028 +6203,MN,194,22,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,319 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,PONY REAL ESTATE,925,4700,1829,2871,0,1829,0,0,0,0,2,1,5,4,5,18.5,50,19,50, ,3,N,3,2,34464,399929,0,0,1915,1982,2003,Tribeca East Historic District, ,5.08,6.02,6,6.5,1,1001940022,0,33,983206,201544,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,142.9432488,1019.199761,365465,0,0,6203,6203,4,900,12.8255558,14.59555531,1.769999504,13.97611117,0.709718261,55.90444469 +6204,MN,909,20,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,239 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,RICHMOND ASSOCIATES,2469,9000,0,9000,0,0,0,0,0,0,2,1,5.5,20,20,25,98.75,23,85, ,3,N,5,2,76950,1361250,0,0,1920,1985,0, , ,3.65,4,0,4,1,1009090020,0,66,990048,209411,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,255.5553311,2650.000858,1284300,11,0,6204,6204,12,2700,34.61700058,37.06000137,2.443000793,34.82058398,0.67520975,417.8470078 +6205,MN,475,16,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,55 WOOSTER STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,MILTON & LILIT GOLDMA,1374,4014,1070,2944,0,1070,0,0,0,0,2,1,3,2,3,18.33,75,18,69,E,2,N,3,2,49886,141110,0,0,1900,1987,0,SoHo-Cast Iron Historic District, ,2.92,0,5,6.5,1,1004750016,0,47,983572,202658,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,195.9957311,1563.740341,91224,0,1,6205,6205,7,1575,9.686666489,11.43777752,1.751111031,10.25603172,0.686375415,71.79222202 +6206,MN,565,8,102,61,3001,2,2,10003,L003,6,15,5700,1,2,3A,38 EAST 14 STREET,C6-4, , , , , ,US, , , ,N,K2,5,0, ,38 EAST 14 STREET ASS,3015,7530,7530,0,0,7530,0,0,0,0,2,1,2,0,1,26.25,100,26.25,100, ,0,Y,3,2,337500,1254600,0,0,1910,2006,0, , ,2.5,10,10,10,1,1005650008,0,61,986539,207017,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,268.713529,3235.495096,917100,8,0,6206,6206,14,3150,39.92666626,40.47999954,0.553333282,40.39111001,0.14046248,565.4755402 +6207,MN,466,47,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,121 EAST 10 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,121 OWNERS CORP,2364,13000,0,13000,0,0,0,0,0,0,2,1,6,25,25,25,94.58,25,78, ,3,N,5,1,367200,1311750,2360,2360,1950,1987,0,St. Mark's Historic District, ,5.5,4,0,4,1,1004660047,0,40,987629,205392,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,242.8723861,2449.268637,944550,12,0,6207,6207,10,2250,32.08111191,35.12444305,3.043331146,32.44581146,0.910835744,324.4581146 +6208,MN,455,42,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,219 1 AVENUE,C1-7A, , , , , , , , , ,N,C7,4,0,P,219 FIRST AVENUE HOLD,1218,6655,1210,5445,0,1210,0,0,0,0,2,1,6,9,10,21.75,56,21.75,56, ,2,N,3,2,37387,319894,0,0,1910,2006,2012, , ,5.46,6.02,2,6.5,1,1004550042,0,40,988892,205547,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,164.388096,1392.522453,282507,12,0,6208,6208,7,1575,22.17099953,22.17099953,0,22.17099953,0,155.1969967 +6209,MN,519,57,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,25 CHARLTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,C & P DOUGLAS,2500,3045,0,3045,0,0,0,0,0,0,2,2,4,2,2,25,100,25,25, ,3,N,5,2,30428,152101,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.22,2.43,0,4.8,1,1005190057,0,37,983073,204236,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,250.7946566,2467.469249,121673,0,0,6209,6209,11,2475,16.83888817,21.32777786,4.488889694,18.39575698,1.915379429,202.3533268 +6210,MN,429,2,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,14 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,NESOR ASSOCIATES,2275,9750,1950,7800,0,1950,0,0,0,0,2,1,5,16,18,32.5,70,33,62, ,3,N,5,2,349200,1223100,0,0,1920,1967,0, , ,4.29,4,0,4,1,1004290002,0,3002,987556,202807,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,211.2923379,2422.319776,873900,1,0,6210,6210,11,2475,28.19499969,33.43000031,5.23500061,29.09601003,1.915042117,320.0561104 +6211,MN,488,7502,102,47,1002,2,1,10012,L008,1,15,6800,1,2, ,388 WEST BROADWAY,M1-5A, , , , , , , , , ,N,RM,4,0, , ,3606,16390,4504,11886,0,3110,0,1394,0,0,2,1,5,4,9,50.58,69,50.58,69, ,0,Y,0,5,295602,2288338,0,0,1920,2002,0,SoHo-Cast Iron Historic District Extensi, ,4.55,0,5,6.5,1,1004887502,1267,47,983506,203060,12a, ,11N 069,10206, ,1004880028,4/1/2003,1, , ,17V1.1,7,260.8749587,4048.94894,1992740,0,1,6211,6211,19,4275,9.686666489,11.96777725,2.281110764,9.80672495,0.509364912,186.327774 +6212,MN,884,61,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,133 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,D.R. WEXINGTON LLC,1747,6864,2288,4576,0,2288,0,0,0,0,2,1,5,3,4,21.83,80,21.83,52, ,3,N,5,5,149611,305000,0,0,1920,2006,0, , ,3.93,6.02,6,6.5,1,1008840061,0,72,989271,209976,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,206.7715865,1786.327964,155389,11,0,6212,6212,8,1800,31.56888962,31.56888962,0,31.56888962,0,252.5511169 +6213,MN,41,15,101,7,1003,2,1,10005,E004,1,15,7700,1,1,1B,60 PINE STREET,C5-5, , , , , ,LM, , , ,N,H5,5,0, ,DOWNTOWN ASSN,9530,49197,0,0,0,0,0,0,0,0,2,1,6,0,1,75,135,75,135, ,0,Y,4,5,2250000,3308850,0,0,1910,0,0, ,THE DOWN TOWN ASSOCIATION BUILDING,5.16,10,15,15,1,1000410015,0,7,981985,196755,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,417.1878753,9220.762658,1058850,4,0,6213,6213,42,9450,17.88222313,22.09499931,4.212776184,21.91784327,0.799522054,920.5494175 +6214,MN,292,27,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,9 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,9 ASSETS LLC,1912,8262,1377,6885,0,1377,0,0,0,0,2,1,6,18,22,25.5,75,26,53, ,3,N,5,2,94050,1010250,0,0,1910,1988,0, , ,4.32,3.44,6,6.5,1,1002920027,0,16,985922,199666,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,210.5607164,2048.012482,916200,16,0,6214,6214,10,2250,39.91899872,42.59555435,2.676555634,40.60593224,1.065087572,406.0593224 +6215,MN,622,36,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,282 WEST 11 STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,FRANCESCA MANNONI,1232,3278,0,2409,0,0,0,0,0,0,2,1,3,2,2,22.17,56.42,22.17,35,E,3,Y,5,1,42605,150974,0,0,1899,0,0,Greenwich Village Historic District, ,2.66,3.44,2,6.5,1,1006220036,0,73,982929,207369,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,165.4364354,1404.523486,108369,8,0,6215,6215,7,1575,24.5988884,25.65566635,1.056777954,24.74985668,0.369795251,173.2489967 +6216,MN,345,11,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,319 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C7,4,0, ,M S G G REALTY CORP,2250,9655,1200,8455,0,1200,0,0,0,0,2,1,5,8,10,24.83,68.17,25,68, ,3,Y,3,2,39663,129483,0,0,1900,1987,0, , ,4.29,6,0,6,1,1003450011,0,2201,988963,201935,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,246.9568561,2429.778756,89820,1,0,6216,6216,10,2250,18.41222191,21.38888931,2.976667404,18.95933304,1.099522319,189.5933304 +6217,MN,499,7505,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,92 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,38310,7906,30404,0,7906,0,0,0,0,2,1,7,14,17,50,200,50,200, ,0,Y,0,5,1529999,10400402,0,1966671,2005,0,0,SoHo-Cast Iron Historic District, ,5.11,0,5,6.5,1,1004997505,1658,49,984316,203038,12c, ,101N072,10206, ,1004990001,4/24/2007,1, , ,17V1.1,7,513.1253641,7523.311774,8870400,0,0,6217,6217,35,7875,22.35555458,24.05222321,1.696668625,22.4479102,0.344726543,785.676857 +6218,MN,393,14,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,610 EAST 11 STREET,R8B, , , , , , , , , ,N,D5,3,0,P,LOWER EAST SIDE I ASS,7050,30750,0,30750,0,0,0,0,0,0,2,3,6,28,28,75,190,75,80, ,3,N,4,2,405000,2779650,405000,2779650,1900,1988,0, , ,4.36,4,0,4,1,1003930014,0,28,990110,204132,12c, ,102 022,10203, ,1003930014,11/21/2005,1, ,1,17V1.1,0,344.8911863,7324.109543,2374650,12,1,6218,6218,32,7200,7.409999847,10.17000008,2.760000229,7.551048458,0.517290136,241.6335506 +6219,MN,629,21,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,328 WEST 14 STREET,C6-2A, , , , , , , , , ,N,M3,8,0,X,RC CH ST BERNARD,2581,5000,5000,0,0,0,0,0,0,5000,2,1,4,0,1,25,103.25,25,87, ,0,N,5,5,385650,607050,385650,607050,1900,0,0, , ,1.94,6.02,6,6.5,1,1006290021,0,77,983119,208914,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,261.4520552,2718.374414,221400,8,0,6219,6219,13,2925,16.45777702,18.6977787,2.240001678,16.68456356,0.605968259,216.8993263 +6220,MN,273,24,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,26 RUTGERS STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"TAO & KEI, INC.",2115,10990,1000,9990,0,1000,0,0,0,0,2,1,6,18,20,25,84.58,25,76, ,3,N,5,2,144000,459450,0,0,1901,0,0, , ,5.2,3.44,0,6.5,1,1002730024,0,6,986930,199055,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,224.5253426,2181.557983,315450,16,0,6220,6220,10,2250,23.87533379,28.55111122,4.675777435,24.34291153,1.402733231,243.4291153 +6221,MN,136,7503,101,21,1001,2,1,10007,L010,1,15,7700,1,1, ,60 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,4044,32683,7423,25260,0,3448,0,3975,0,0,2,1,9,5,7,53.75,75.25,53.75,75, ,0,N,0,5,863772,2898710,2360,2360,1915,0,0, , ,8.08,7.52,6,7.5,1,1001367503,1128,21,981663,199773,12b, ,11S 017,10104, ,1001360015,12/14/2000,1, , ,17V1.1,7,270.4819791,4466.858612,2034940,3,0,6221,6221,20,4500,24.38777733,25.24200058,0.854223251,25.19583387,0.185990105,503.9166775 +6222,MN,643,64,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,69 HORATIO STREET,R6, , , , , , , , , ,N,C3,2,0, ,WILLIAM E CORNWELL,1949,4432,0,4432,0,0,0,0,0,0,2,1,3,4,4,23,84.75,23,54,E,3,N,5,5,173733,291922,2360,2360,1905,0,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1006430064,0,79,982304,208492,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,216.4909416,1926.937928,118189,8,1,6222,6222,12,2700,11.21500015,13.35333347,2.138333321,11.85986122,0.916343031,142.3183346 +6223,MN,163,13,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,34 PELL STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,BING SUN RLTY CORP,2423,6181,6181,0,4000,2181,0,0,0,0,2,1,3,0,2,23.67,107,24,107,E,3,Y,5,2,165600,488250,0,0,1915,0,0, , ,2.55,3.44,6,6.5,1,1001630013,0,29,984646,199814,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,262.1212726,2517.840376,322650,14,0,6223,6223,12,2700,33.5909996,33.5909996,0,33.5909996,0,403.0919952 +6224,MN,432,34,103,32,3000,1,2,10009,E028,9,14,6600,1,3,3A,81 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S4,4,0,P,MARGARITA FUKSMAN,2480,7544,2480,5064,0,2480,0,0,0,0,2,1,4,4,5,25,100,25,96,E,3,Y,5,5,463600,691008,0,0,1920,1993,2000, , ,3.04,4,0,4,1,1004320034,0,32,988540,203484,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,259.3098444,2665.808853,227408,1,0,6224,6224,12,2700,21.1060009,21.1060009,0,21.1060009,0,253.2720108 +6225,MN,163,16,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,46 MOTT STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,MOTT BULWARK LLC,1098,2712,2712,0,0,2712,0,0,0,0,2,1,3,0,2,20.08,48,20,48, ,3,Y,5,2,123750,351450,0,0,1915,0,0, , ,2.47,3.44,6,6.5,1,1001630016,0,29,984663,199880,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,148.3107708,1100.222931,227700,14,0,6225,6225,4,900,33.5909996,33.5909996,0,33.5909996,0,134.3639984 +6226,MN,434,19,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,110 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,110-112 EAST SEVENTHS,2271,10296,1000,9296,0,1000,0,0,0,0,2,1,6,23,25,25,90.83,25,79, ,3,N,5,2,314100,1590300,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.53,4,0,4,1,1004340019,0,32,988468,203903,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,240.581405,2518.854372,1276200,12,0,6226,6226,12,2700,18.26222229,22.34777832,4.08555603,18.79975923,1.195655831,225.5971107 +6227,MN,451,43,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,337 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"337 GROUP,",2306,7560,1075,6485,0,1075,0,0,0,0,2,1,5,8,10,25,92.25,25,56, ,3,N,5,2,43133,185671,0,0,1900,0,0, , ,3.28,4,0,4,1,1004510043,0,40,988270,204757,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,244.1948071,2477.240153,142538,12,0,6227,6227,11,2475,23.10400009,23.47555542,0.371555328,23.13777785,0.106814647,254.5155563 +6228,MN,42,36,101,7,1004,2,1,10005,E004,1,15,7700,1,1,1B,90 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,O5,5,0,P,WASSCO LLC,6881,33529,33529,0,27529,6000,0,0,0,0,2,1,4,0,4,59.67,130.75,60,131, ,3,Y,4,2,801000,1682550,0,0,1900,0,0, ,90-94 MAIDEN LANE BUILDING,4.87,10,15,15,1,1000420036,0,7,982173,196823,12b, ,101S006,10101, ,0, ,1,1,1,17V1.1,0,387.5292567,7599.722429,881550,4,1,6228,6228,35,7875,9.006000519,9.428444862,0.422444344,9.057993998,0.063949736,317.0297899 +6229,MN,766,77,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,258 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C4,2,0,P,258 W. 17 REALTY LLC,2600,10190,0,10190,0,0,0,0,0,0,2,1,5,10,10,34,78.58,34,64, ,2,Y,5,2,84590,393051,0,0,1901,1987,0, , ,3.92,6.02,6,6.5,1,1007660077,0,81,984066,209338,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,229.8806159,2803.820506,308461,7,0,6229,6229,11,2475,21.88888931,22.77666664,0.887777328,21.96959634,0.255218038,241.6655598 +6230,MN,625,28,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,52 JANE STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"MURPHY, KATHLEEN M.",1800,3880,0,2820,0,0,0,0,0,0,2,1,3,2,2,22.5,80,22.5,40, ,2,N,5,1,41782,197805,0,0,1848,1996,0,Greenwich Village Historic District, ,2.16,3.44,2,6.5,1,1006250028,0,77,982830,208136,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,208.2229659,1809.310247,156023,8,0,6230,6230,10,2250,17.76333427,17.76333427,0,17.76333427,0,177.6333427 +6231,MN,391,20,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,626 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,626 E 9 ST HDFC,2583,10154,0,10154,0,0,0,0,0,0,2,1,5,12,12,27.5,93.92,28,80, ,3,N,5,2,90000,675000,90000,550512,1910,2005,0, , ,3.93,4,0,4,1,1003910020,0,2602,989994,203631,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,247.954872,2665.723635,585000,12,1,6231,6231,12,2700,8.318888664,9.75,1.431111336,8.438147942,0.395538278,101.2577753 +6232,MN,283,76,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,32 CANAL STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,34 CANAL ST. CORP.,1208,5720,1144,4576,0,1144,0,0,0,0,2,1,5,8,10,28.42,55.5,28,82, ,3,Y,3,2,82125,347014,0,0,1900,1961,0, , ,4.74,6.02,6,6.5,1,1002830076,0,6,986827,199537,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,160.0590537,1333.84411,264889,13,0,6232,6232,6,1350,32.80699921,32.80699921,0,32.80699921,0,196.8419952 +6233,MN,729,7501,104,103,1005,2,3,10001,L021,10,15,5500,2,4, ,424 WEST 33 STREET,C6-4, , , , , ,HY, , , ,N,RB,5,0, , ,12960,140820,140820,0,140820,0,0,0,0,0,2,1,13,0,2,131.25,98.75,131,99,E,1,N,0,5,998999,18594000,0,0,1913,0,0, , ,10.87,10,10,10,1,1007297501,2279,103,984765,213631,8d, ,105S018,10302, ,1007290163,12/22/2011,1, , ,17V1.1,7,468.9991436,13471.98218,17595000,6,1,6233,6233,60,13500,47.90777969,49.74555588,1.837776184,49.24511223,0.21594803,2954.706734 +6234,MN,239,8,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,84 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,EVERPRIME 84 CORP,2210,10200,1000,9200,0,1000,0,0,0,0,2,1,6,24,26,24.67,90,24,74, ,2,N,5,1,153000,758250,0,0,1910,1988,0, , ,4.62,6.02,6,6.5,1,1002390008,0,41,985419,200880,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,231.8271128,2195.082038,605250,0,0,6234,6234,11,2475,31.48699951,34.93444443,3.447444916,31.8004036,0.991070731,349.8044395 +6235,MN,633,38,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,733 GREENWICH STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,117 PERRY STREET PROP,3150,17470,2500,14970,0,2500,0,0,0,0,2,1,6,25,28,56.5,85,55,85, ,3,Y,3,2,540000,2105100,0,0,1900,1986,0,Greenwich Village Historic District, ,5.55,3.44,2,6.5,1,1006330038,0,75,982388,207117,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,247.8302466,3395.444673,1565100,9,0,6235,6235,15,3375,19.46666718,19.46666718,0,19.46666718,0,292.0000076 +6236,MN,98,1,101,15.01,3011,2,1,10038,E006,1,15,7700,1,1,1B,304 PEARL STREET,C6-2A, , , , , ,LM, , , ,N,G6,10,0,P,PM PARTNERS,47880,0,0,0,0,0,0,0,0,0,7,1,0,0,0,333,190.42,0,0, ,0,Y,1,5,6684300,6684300,0,0,0,0,0,South Street Seaport Historic District, ,0,6.02,6,6.5,1,1000980001,0,1501,983507,197296,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,948.181241,47504.37091,0,4,1,6236,6236,209,47025,7.092222214,16.10777855,9.015556335,12.04361508,2.367542601,2517.115552 +6237,MN,406,13,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,514F EAST 13 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,514 EAST 13 STREET HO,2581,8055,1000,7055,0,1000,0,0,0,0,2,2,5,13,14,25,103.25,25,46, ,0,N,5,5,40950,526050,40950,288338,1900,0,0, , ,3.12,4,0,4,1,1004060013,0,34,989733,204946,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.8590018,2661.215785,485100,12,0,6237,6237,13,2925,13.0880003,14.85666752,1.768667221,13.82610292,0.803264004,179.7393379 +6238,MN,828,1,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,776 AVENUE OF THE AMER,C6-4X,M1-6, , , , , , , , ,Y,D8,3,0,P,CHELSEA NEW YORK REAL,31228,454538,101203,353335,57790,15718,27695,0,0,0,2,3,37,387,398,197.5,175,74,98, ,2,N,3,2,8280000,74127150,0,0,2000,1980,0, , ,14.56,10,10,10,1,1008280001,0,58,986747,210668,8d, ,104 002,10306,E-66,1008280001,12/21/2000,1, , ,17V1.1,0,948.9021457,32878.40608,65847200,2,0,6238,6238,146,32850,42.13444519,46.01111221,3.876667023,43.09285182,1.022654083,6291.556366 +6239,MN,896,13,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,227 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,227-229 E 14TH ST HDF,2943,11935,1500,10435,0,1500,0,0,0,0,2,1,5,9,11,28.5,103.25,29,90, ,3,N,5,2,77850,1048050,77850,781646,1900,0,0, , ,4.06,4,2,4,1,1008960013,0,48,988161,206350,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,271.0843602,3069.691485,970200,12,0,6239,6239,14,3150,29.86800003,31.09666634,1.228666306,30.14830167,0.464394089,422.0762234 +6240,MN,573,28,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,28 WEST 10 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"ANN B. GUSSOW, Q/T OF",1691,5004,0,5004,0,0,0,0,0,0,2,1,4.5,6,6,18.33,92.25,18,64, ,3,N,5,5,144627,539955,0,0,1900,1986,0,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005730028,0,63,985068,206639,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,225.7702538,1813.357394,395328,8,0,6240,6240,8,1800,18.98099899,26.35111237,7.370113373,19.94561052,2.423711603,159.5648842 +6241,MN,896,8,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,207 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,207 EAST 14TH ST RLTY,2994,12945,2080,10865,0,2080,0,0,0,0,2,1,5,17,21,29,103.25,29,92, ,3,N,5,2,180000,2057400,0,0,1900,0,0, , ,4.32,4,2,4,1,1008960008,0,48,988035,206419,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,271.7058277,3102.841222,1877400,12,0,6241,6241,14,3150,29.7677784,29.92177773,0.153999329,29.86696829,0.031561151,418.1375561 +6242,MN,467,18,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,218 EAST 12 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"KWAK, SANG M",2308,5958,0,5958,0,0,0,0,0,0,2,1,4,5,5,21.67,106.5,22,55,E,3,N,5,5,118823,161599,0,0,1910,1984,0, , ,2.58,4,0,4,1,1004670018,0,40,987771,205725,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,259.2537827,2263.608121,42776,12,0,6242,6242,10,2250,28.52666664,33.10666656,4.579999924,30.26057796,1.907713704,302.6057796 +6243,MN,780,10,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,251 WEST 30 STREET,M1-5, , , , , , , , , ,N,L1,6,0, ,251 WEST 30TH OWNER L,7406,104199,96774,7425,0,7425,0,89349,0,0,2,1,16,7,43,75,98.75,75,99, ,3,N,5,2,585000,7988850,0,0,1927,0,0, , ,14.07,0,5,6.5,1,1007800010,0,101,985839,212329,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,355.9023177,7742.824168,7403850,6,0,6243,6243,34,7650,30.92044449,31.09600067,0.175556183,31.09083725,0.029661573,1057.088467 +6244,MN,443,7501,103,36.02,1001,1,2,10003,E028,9,14,6500,3,3, ,79 EAST 2 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,3844,13845,2953,10892,0,2953,0,0,0,0,2,1,5,4,5,50,80.08,50,80, ,0,Y,0,5,152137,1532900,0,0,1914,0,0, , ,3.6,4,0,4,1,1004437501,980,3602,987352,203074,12c, ,102 010,10205, ,1004430026,12/10/1997,1, , ,17V1.1,7,258.013658,3938.683458,1380760,1,0,6244,6244,17,3825,31.53899956,33.87110901,2.332109451,31.76635888,0.637552863,540.028101 +6245,MN,348,45,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,84 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,HA-LLIVIS N Y RLTY CO,2500,7250,1300,5950,0,1300,0,0,0,0,2,1,5,9,13,25,100,25,56, ,3,N,5,2,140850,810900,0,0,1920,1989,0, , ,2.9,4,0,4,1,1003480045,0,1402,988387,201056,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,255.6186286,2537.001545,670050,13,0,6245,6245,11,2475,23.08555603,27.22444534,4.138889313,24.83646514,1.921474509,273.2011166 +6246,MN,872,35,106,50,5001,2,2,10003,E005,13,14,5300,1,6,1A,166 3 AVENUE,C1-9A, , , , , , , , , ,N,D6,4,0,P,145 EAST 16TH STREET,17296,236064,28250,207814,0,16500,11750,0,0,0,2,1,19,231,236,165.25,100,159,100, ,3,Y,3,2,2623500,24041700,0,0,1963,1987,2013, , ,13.65,10,2,10,1,1008720035,0,50,988039,207068,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,586.505892,18352.47081,21418200,5,0,6246,6246,82,18450,31.57888794,34.16999817,2.591110229,31.62554108,0.313501828,2593.294369 +6247,MN,494,41,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,41 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,DAVID & NORMAN INVSTI,3060,14265,2000,12265,0,1000,0,0,0,0,2,2,5,17,19,51,68,26,52, ,3,N,5,2,95400,2061900,0,0,1900,1986,2013, , ,4.66,6.02,6,6.5,1,1004940041,0,43,985367,202319,12c, ,101N076,10206, ,1004940041,12/24/1986,1, , ,17V1.1,0,235.6967232,3377.908589,1966500,0,0,6247,6247,15,3375,38.86500168,41.29999924,2.434997559,39.2943718,0.869930879,589.4155769 +6248,MN,304,15,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,123 BOWERY,C6-1G, , , , , , , , , ,N,L8,6,0, ,BEN MOL REALTY CORP,2565,10500,10500,0,0,2300,0,2300,5900,0,2,1,5,0,2,25,102.58,25,92, ,3,Y,5,2,308700,1471050,0,0,1900,0,0, , ,4.09,3.44,6,6.5,1,1003040015,0,16,985740,200900,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,264.4369384,2790.485533,1162350,0,0,6248,6248,12,2700,34.17111206,34.17111206,0,34.17111206,0,410.0533447 +6249,MN,478,7502,102,41,1000,2,1,10012,E055,5,15,6800,1,2, ,184 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,2508,8344,2956,5388,0,1846,0,1110,0,0,2,1,6,4,5,25.08,100,0,0, ,0,N,5,5,34377,481182,2886,5130,1900,0,0, , ,3.33,3.44,6,6.5,1,1004787502,1188,41,985847,201891,12c, ,101N077,10206, ,1004780024,3/29/2001,1, , ,17V1.1,7,245.9711728,2310.595805,446805,0,0,6249,6249,11,2475,38.05444717,40.45944595,2.404998779,38.27308343,0.691388538,421.0039177 +6250,MN,489,6,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,65 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,C1,2,0, ,SULLIVAN SPRING REALT,2567,9110,0,9110,0,0,0,0,0,0,2,1,5,13,13,25.67,100,26,69, ,3,N,5,2,85500,565200,0,0,1989,0,0,Sullivan-Thompson Historic District, ,3.55,0,5,6.5,1,1004890006,0,47,983176,203152,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,260.6085651,2748.544826,479700,0,1,6250,6250,11,2475,9.686666489,10.56488895,0.878222466,9.766504895,0.252471208,107.4315538 +6251,MN,583,12,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,64 MORTON STREET,R6, , , , , , , , , ,N,C4,2,0, ,FELIX BERNARDO D/B/A,2500,9680,0,9680,0,0,0,0,0,0,2,1,5,15,15,25,100,25,88, ,3,N,5,2,360000,1615950,0,0,1900,1986,0,Greenwich Village Historic District, ,3.87,2.43,0,4.8,1,1005830012,0,67,982532,205480,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,248.6016913,2430.074535,1255950,9,0,6251,6251,11,2475,15.38333321,19.08888817,3.705554962,16.05525242,1.425362279,176.6077766 +6252,MN,835,63,105,76,1001,2,4,10001,L024,14,15,5200,1,5,1A,36 WEST 34 STREET,C5-3,C6-4.5, , , , ,MID, , , ,Y,K2,5,0,P,ISTA HOLDING CO INC,4550,19268,19268,0,8535,10733,0,0,0,0,2,2,5,0,7,25,197.5,25,198, ,3,Y,4,2,976500,5724900,0,0,1906,0,0, , ,4.23,10,15,15,1,1008350063,0,76,987884,212143,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,474.9418289,4798.241632,4748400,10,0,6252,6252,21,4725,45.85200119,48.53888702,2.686885834,46.01987403,0.590824135,966.4173546 +6253,MN,803,14,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,143 WEST 27 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,WEST 27 LOFT CORP,4954,20026,4800,15226,0,4800,0,0,0,0,2,2,6,14,16,50.17,98.75,50,96,E,3,N,5,2,254700,1925550,4720,4720,1910,0,0, , ,4.04,0,10,10,1,1008030014,0,95,986308,211189,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,305.0694637,5141.755538,1670850,2,0,6253,6253,24,5400,37.16799927,37.55666733,0.38866806,37.18573078,0.07769541,892.4575386 +6254,MN,871,51,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,138 EAST 16 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,138 EAST 16 LLC,2581,7650,0,7650,0,0,0,0,0,0,2,1,4,10,10,25,103.25,25,60,E,3,N,5,1,81917,385573,0,0,1915,1963,0, , ,2.96,4,0,4,1,1008710051,0,50,987831,206959,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,262.5751228,2536.298426,303656,5,0,6254,6254,12,2700,33.78900146,37.02999878,3.240997314,34.25754706,0.93949235,411.0905647 +6255,MN,806,52,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,116 WEST 31 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,HCIN HERALD SQUARE AS,4379,49286,0,0,0,0,0,0,0,0,2,1,18,0,1,40.83,115,40.2,64.5, ,0,N,5,5,3204000,13610700,0,0,2003,0,0, , ,11.26,0,10,10,1,1008060052,0,101,986970,211815,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,319.2018537,4879.317144,10406700,6,0,6255,6255,22,4950,37.55799866,41.83333206,4.275333405,38.23088767,1.435175222,841.0795288 +6256,MN,276,7,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,15 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,15 MONROE REALTY INC,2533,11304,1950,9354,0,1950,0,0,0,0,2,1,6,21,23,25,101.33,25,86, ,3,N,5,2,171000,693000,0,0,1900,1987,0, , ,4.46,3.44,0,6.5,1,1002760007,0,8,985404,198559,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,259.2455919,2631.4506,522000,16,0,6256,6256,11,2475,13.17555523,13.17555523,0,13.17555523,0,144.9311075 +6257,MN,769,21,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,231 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,231-233 WEST 19TH ST.,2395,9165,750,8415,0,750,0,0,0,0,2,1,5,16,17,25,95.5,25,73, ,3,Y,5,2,123300,1209600,0,0,1901,1984,0, , ,3.83,6.02,6,6.5,1,1007690021,0,87,984637,209744,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,247.365892,2569.759189,1086300,7,0,6257,6257,12,2700,21.88888931,24.76000023,2.871110916,22.3340745,0.998807237,268.008894 +6258,MN,574,67,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,45 WEST 10 STREET,R6, , , , , , , , , ,N,D4,3,0, ,45 W 10 TENANTS CORP,11315,77829,3700,74129,0,0,3700,0,0,0,2,1,11,90,90,119.42,94.75,119.42,86, ,3,N,5,2,1017000,7407000,178491,178491,1957,1988,0,Greenwich Village Historic District, ,6.88,2.43,0,4.8,1,1005740067,0,63,984905,206904,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,435.0863537,11727.89541,6390000,8,0,6258,6258,51,11475,20.66300011,25.32666588,4.663665771,21.95317867,1.654528829,1119.612112 +6259,MN,304,23,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,99 CHRYSTIE STREET,C6-1G, , , , , ,TA, , , ,N,L9,6,0, ,SING SUN ASSOCIATES I,1275,3593,2318,1275,0,1275,0,1043,0,0,2,1,3,1,4,25.25,51.25,25,51, ,2,N,5,1,78750,571050,0,0,1910,1987,0, , ,2.82,3.44,6,6.5,1,1003040023,0,16,985852,200828,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,160.4332083,1400.497931,492300,0,0,6259,6259,6,1350,34.17111206,34.1760025,0.004890442,34.17192713,0.00182256,205.0315628 +6260,MN,634,35,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,321 WEST 11 STREET,R6, , , , , , , , , ,N,C7,4,0, ,A J CLARKE MNGT CORP,3050,10400,2700,7700,0,2700,0,0,0,0,2,1,5,18,20,32,95.33,32,61, ,3,N,5,2,315000,1168650,0,0,1910,1988,0,Greenwich Village Historic District, ,3.41,2.43,0,4.8,1,1006340035,0,75,982232,207373,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,259.3090354,3054.919461,853650,9,0,6260,6260,15,3375,14.98200035,19.44000053,4.458000183,16.63355548,1.44521299,249.5033321 +6261,MN,434,29,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3A,109 AVENUE A,R7A, , , ,C2-5, , , , , ,N,D7,4,0,P,"109 A, LLC",2292,16581,6876,9705,0,6876,0,0,0,0,2,1,7,6,10,22.92,100,23,98, ,3,N,3,2,84039,1188929,0,0,1908,2012,2012, , ,7.23,4,0,4,1,1004340029,0,32,988716,203805,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,255.1420947,2569.75914,1104890,12,0,6261,6261,11,2475,18.26222229,19.56222153,1.299999237,18.46505044,0.437392348,203.1155548 +6262,MN,444,1,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,38 2 AVENUE,C6-2A, , , , , , , , , ,N,W3,8,0, ,LASALLE NEW YORK CITY,3263,41236,41236,0,0,0,0,0,0,41236,2,1,4,0,1,43.5,75,43,72, ,2,N,3,2,351450,2623050,0,0,1940,1943,0, , ,12.64,6.02,6,6.5,1,1004440001,0,3602,987025,203390,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,248.4795509,3599.085838,2271600,1,0,6262,6262,16,3600,33.94100189,38.98333359,5.042331696,34.62818909,1.632812012,554.0510254 +6263,MN,276,36,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,106 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,JING FU INC,2500,9625,1200,8425,0,1200,0,0,0,0,2,1,5,20,21,25,100,25,89, ,3,N,5,1,168750,455850,0,0,1900,1983,0, , ,3.85,3.44,0,6.5,1,1002760036,0,8,985568,198683,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.1540945,2601.926517,287100,16,0,6263,6263,12,2700,23.59300041,26.94888878,3.355888367,24.14222256,1.228346864,289.7066708 +6264,MN,863,80,105,74,1002,2,4,10016,L024,14,15,5200,1,5,2B,4 EAST 34 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,CAERUS GROUP 4E34 LLC,5230,29162,29162,0,24162,5000,0,0,0,0,2,1,6,0,5,52.92,98.75,53,99, ,3,N,5,2,1440000,2413350,0,0,1910,1974,0, , ,5.58,10,10,10,1,1008630080,0,74,988633,211782,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,322.3529713,5765.594812,973350,10,0,6264,6264,25,5625,50.11500168,54.13000107,4.01499939,52.37166763,1.932999078,1309.291691 +6265,MN,881,31,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,141 EAST 25 STREET,C6-3A, , , , , , , , , ,N,P8,8,0,X,DASNY,36932,247181,247181,0,0,0,0,0,0,247181,2,1,7,0,2,188,197.5,188,197.5, ,3,N,4,2,3514500,30196800,3514500,30196800,1895,1993,0, , ,6.69,7.52,6,7.5,1,1008810031,0,68,989021,209155,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,780.5535776,37852.69422,26682300,11,0,6265,6265,168,37800,30.02400017,34.67889023,4.65489006,30.24531371,0.875574072,5081.212704 +6266,MN,545,21,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,734 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0,P,THOR 734 BROADWAY LLC,3334,13990,2798,11192,0,2798,0,0,0,0,2,1,5,5,6,24,137.5,24.25,129,E,3,N,5,2,260550,1193850,0,0,1900,1981,0,NoHo Historic District, ,4.2,0,5,6.5,1,1005450021,0,57,986222,205050,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,333.3449282,3397.436119,933300,9,0,6266,6266,15,3375,38.29555511,40.31888962,2.023334503,38.43044408,0.504708299,576.4566612 +6267,MN,746,27,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,317 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"BERKOWITZ, IRWIN",2156,6720,0,6720,0,0,0,0,0,0,2,1,5,20,20,21.83,98.75,22,64, ,3,N,5,1,76950,1049400,0,0,1920,0,0,Chelsea Historic District Extension, ,3.12,3,0,3,1,1007460027,0,93,984315,210776,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,247.588144,2331.477522,972450,2,0,6267,6267,11,2475,15.97222233,18.31888962,2.34666729,17.00121238,1.12804153,187.0133362 +6268,MN,770,76,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,208 8 AVENUE,C1-6A, , , , , , , , , ,N,K1,5,0,X,SALVATION ARMY,5421,5050,5050,0,0,5050,0,0,0,0,2,1,1,0,2,50.08,108.42,50,98, ,3,N,5,2,630000,1167300,630000,1167300,1920,0,0, , ,0.93,4,2,4,1,1007700076,0,87,984460,210220,8d, ,103 034,10304, ,0, ,1, , 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, , , , ,Y,D1,3,0,P,NORFOLK ASSOCIATES LL,5000,22404,0,22404,0,0,0,0,0,0,2,1,6,35,35,50,100,50,84, ,3,N,5,2,360000,860400,0,0,1912,1988,0, , ,4.48,4,0,4,1,1003540022,0,3001,987962,201750,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,308.1180336,5202.894906,500400,1,0,6316,6316,23,5175,28.01666641,29.36622238,1.349555969,28.07534276,0.27521646,645.7328835 +6317,MN,912,49,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,228 EAST 32 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,228-230 E 32ND LLC,3291,8534,0,8534,0,0,0,0,0,0,2,1,4,16,16,33.33,98.75,33,60, ,3,N,5,2,71100,1300050,0,0,1900,2011,0, , ,2.59,3,0,3,1,1009120049,0,70,990344,210247,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,269.2186236,3380.196614,1228950,10,0,6317,6317,15,3375,26.45000076,27.21666718,0.766666412,26.54511172,0.209886258,398.1766758 +6318,MN,889,36,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,167 EAST 33 STREET,R8B,C1-9, , , , , , , , ,Y,C5,2,0,P,167 E 33RD CORP,1975,6864,1666,5198,0,1666,0,0,0,0,2,1,5,9,10,20,98.75,20,76,E,3,N,5,2,170056,642622,0,0,1910,0,0, , ,3.48,4,0,4,1,1008890036,0,72,990079,210866,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,240.336942,1967.501567,472566,10,0,6318,6318,9,2025,24.63888931,24.63888931,0,24.63888931,0,221.7500038 +6319,MN,90,22,101,15.01,1004,2,1,10038,E006,1,15,7700,1,1,1B,19 ANN STREET,C5-5, , , , , ,LM, , , ,N,Z9, ,0,P,19 ANN ST.,691,2073,2073,0,0,0,0,0,0,2073,2,1,5,0,1,20,29.92,20,29, ,2,Y,3,2,233550,420300,0,0,2001,0,0, , ,3,10,15,15,1,1000900022,0,1501,982109,198277,12b, ,101S019,10103, ,0, ,1, , ,17V1.1,0,112.799574,774.3925635,186750,3,0,6319,6319,4,900,37.81000137,37.98222351,0.172222137,37.85305691,0.074574373,151.4122276 +6320,MN,606,68,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,3 MILLIGAN PLACE,C1-6, , , , , , , , , ,N,C3,2,0, ,1-4 MANAGEMENT LLC,1080,2100,0,2100,0,0,0,0,0,0,2,1,3,4,4,17.5,61.25,18,39, ,2,Y,5,5,165848,279178,0,0,1900,0,0,Greenwich Village Historic District, ,1.94,3.44,2,6.5,1,1006060068,0,71,984535,207105,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,160.7258883,1121.240914,113330,8,0,6320,6320,6,1350,20.06222153,20.94888878,0.886667252,20.31129583,0.361327538,121.867775 +6321,MN,875,47,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,230 3 AVENUE,C1-9A, , , , , , , , , ,N,D4,3,0,P,32 GRAMERCY PARK OWNE,13800,170000,22250,147750,0,11000,11250,0,0,0,2,1,18,186,193,138,100,138,96, ,3,N,3,1,2313000,19429650,288038,288038,1956,1985,0, , ,12.32,10,2,10,1,1008750047,0,50,988409,207736,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,491.0370777,14547.57416,17116700,5,0,6321,6321,64,14400,25.84222221,26.89444542,1.052223206,25.94935766,0.264947793,1660.75889 +6322,MN,374,3,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,58 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0,P,58 AVE C LLC,1542,6483,0,6483,0,0,0,0,0,0,2,1,5,10,10,24,64.25,24,52, ,0,N,5,5,90413,422500,0,0,1900,1996,0, , ,4.2,4,0,4,1,1003740003,0,2601,989851,202469,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,180.9445315,1659.532008,332087,1,1,6322,6322,7,1575,10.52222252,11.93088913,1.408666611,10.74222251,0.487382233,75.19555759 +6323,MN,448,9,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,50 EAST 7 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,REF PROT DUTCH CHURCH,2271,11500,11500,0,0,0,0,0,0,11500,2,1,5,0,1,25,90.83,25,90.83, ,0,N,5,5,141300,305550,141300,305550,1900,2013,0,East Village/Lower East Side Historic Di, ,5.06,4,0,4,1,1004480009,0,38,987669,204346,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.1984927,2452.00396,164250,12,0,6323,6323,11,2475,27.1590004,34.08222198,6.923221588,27.9702731,2.015718078,307.6730042 +6324,MN,558,5,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,121 4 AVENUE,C6-2A, , , , , , , , , ,N,L8,6,0, ,FOREMAST REALTY L.L.C,1912,9317,9317,0,7317,2000,0,0,0,0,2,1,4,0,4,30.25,77,30.25,77, ,3,Y,5,2,79200,1105200,0,0,1920,0,0, , ,4.87,6.02,6,6.5,1,1005580005,0,42,987111,206330,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,224.00212,1975.561667,1026000,12,0,6324,6324,11,2475,38.19900131,38.19900131,0,38.19900131,0,420.1890144 +6325,MN,722,43,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,241 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,D6,4,0,P,ELK 400 WEST 25TH LLC,4938,30500,2160,28340,0,2160,0,0,0,0,2,1,6,40,43,49.33,100,49,99, ,3,N,3,2,276300,5330250,0,0,1929,1979,0, , ,6.18,6,0,6,1,1007220043,0,93,984029,211711,8d, ,105S005,10302, ,0, ,1, , ,17V1.1,0,316.338939,5454.298976,5053950,2,1,6325,6325,24,5400,10.68099976,20.06888771,9.387887955,12.59686081,3.478353918,302.3246593 +6326,MN,830,6,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,57 WEST 28 STREET,C6-4X, , , , , , , , , ,N,K4,4,0, ,JOHN ASSOCIATES LLC,1480,7100,7100,0,4260,2840,0,0,0,0,2,2,5,0,5,20,74,20,71,E,3,N,5,1,405000,928800,0,0,1920,2003,0, , ,4.8,10,10,10,1,1008300006,0,76,986997,211089,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,186.7070393,1431.810477,523800,2,0,6326,6326,7,1575,44.93099976,44.93099976,0,44.93099976,0,314.5169983 +6327,MN,880,82,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,114 EAST 25 STREET,C6-2A, , , , , , , , , ,N,L1,6,0, ,25TH STREET PROPERTY,4115,47490,47490,0,0,4000,0,43490,0,0,2,1,12,0,12,41.67,98.75,41.67,83,E,3,N,5,2,904500,2859394,0,0,1921,2015,0, , ,11.54,6.02,6,6.5,1,1008800082,0,68,988487,209216,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,291.7057758,4318.316933,1954890,11,0,6327,6327,19,4275,29.2211113,31.96888924,2.747777939,29.50883062,0.838851862,560.6677818 +6328,MN,475,7506,102,47,2010,2,1,10013,E055,1,15,6800,1,2, ,45 GREENE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,T GEORGE REALTY INC.,2861,19842,3430,16412,0,3430,0,0,0,0,2,1,6,5,6,25,114.42,0,0, ,0,Y,0,5,54858,784593,2360,2360,1920,0,0,SoHo-Cast Iron Historic District, ,6.94,0,5,6.5,1,1004757506,1032,47,983672,202383,12a, ,11N070,10206, ,1004750051,12/2/1998,1, ,1,17V1.1,7,283.7375598,2959.159449,729735,0,1,6328,6328,13,2925,9.686666489,9.686666489,0,9.686666489,0,125.9266644 +6329,MN,207,17,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1F,118 BAXTER STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,WING TAT REALTY INC,6625,40500,40500,0,33750,6750,0,0,0,0,2,1,7,0,36,75.17,90,75,90, ,0,N,5,2,450000,2678850,0,0,1900,2004,0, , ,6.11,0,5,6.5,1,1002070017,0,41,984451,200883,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,337.6055991,6891.940412,2228850,0,0,6329,6329,32,7200,19.20599937,21.12888908,1.922889709,19.3062911,0.37195676,617.8013153 +6330,MN,883,23,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,106 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,IGRATZ REALTY INC,1592,5800,1500,4300,0,1500,0,0,0,0,2,1,5,8,9,19.75,80,20,66,E,3,N,5,2,122590,475540,0,0,1910,0,0, , ,3.64,6.02,6,6.5,1,1008830023,0,68,988966,209741,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,209.5391594,1744.654665,352950,11,0,6330,6330,7,1575,33.29444504,33.29444504,0,33.29444504,0,233.0611153 +6331,MN,520,39,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,15 KING STREET,R7-2, , , ,C1-5, , , , , ,N,B9,1,0,P,GELBWAKS HARRIET,1278,3144,0,1996,0,0,0,0,0,0,2,1,3,2,2,21.75,58.75,21,38, ,2,N,3,1,45967,120188,1550,1550,1899,0,0,Charlton-King-Vandam Historic District, ,2.46,3.44,0,6.5,1,1005200039,0,37,983329,204451,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,170.6219612,1433.152338,74221,9,0,6331,6331,4,900,16.76099968,16.76099968,0,16.76099968,0,67.04399872 +6332,MN,348,4,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,102 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,MICHAEL CHANG,2530,9858,1000,8858,0,1000,0,0,0,0,2,1,5,16,18,25.25,100,25,87, ,3,N,5,2,135000,593100,0,0,1920,1985,0, , ,3.9,4,0,4,1,1003480004,0,1402,988116,201054,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,254.4186353,2653.728132,458100,13,0,6332,6332,12,2700,24.76333427,28.52666664,3.763332367,25.17657487,1.062340505,302.1188984 +6333,MN,469,21,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,226 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,230 EAST 14TH STREET,4784,19450,3242,16208,0,3242,0,0,0,0,2,1,6,36,40,46.33,103.25,46,88, ,3,N,5,2,733500,3050100,0,0,1920,1985,0, , ,4.07,4,2,4,1,1004690021,0,40,988067,206173,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,305.1797766,4895.209093,2316600,12,0,6333,6333,21,4725,29.06444359,29.86666679,0.802223206,29.10264469,0.170840535,611.1555386 +6334,MN,765,47,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,208 WEST 16 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,"UNITED CHELSEA, LLC",8983,33547,0,33547,0,0,0,0,0,0,2,1,6.5,52,52,87,103.25,87,103, ,2,N,5,2,702000,4027950,0,0,1925,1985,0, , ,3.73,4,0,4,1,1007650047,0,81,984398,208858,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,381.307041,8990.193132,3325950,7,0,6334,6334,40,9000,22.05333328,26.94777679,4.894443512,22.39441657,1.199947304,895.7766628 +6335,MN,206,24,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,109 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,M1,8,0,X,CHUR MOST PRECIOUS BL,5088,4440,4440,0,0,0,0,0,0,4440,2,1,3,0,1,50.42,100.92,30,60, ,0,N,5,2,422550,916650,422550,916650,1947,0,0, , ,0.87,6.02,6,6.5,1,1002060024,0,41,984638,200702,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,303.2242991,5049.051021,494100,0,0,6335,6335,22,4950,25.95999908,33.88000107,7.920001984,30.24333304,3.699369647,665.3533268 +6336,MN,297,7501,103,16,5000,2,1,10002,E015,7,14,7400,2,3, ,26 LUDLOW STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2192,9275,3050,6225,0,2175,0,875,0,0,2,1,6,10,11,25.17,87.5,0,0, ,0,N,5,5,107999,865350,10906,37602,1900,1986,0, , ,4.23,6.02,6,6.5,1,1002977501,367,16,986889,199928,12d, ,101N051,10107, ,1002970010,1/7/1987,1, , ,17V1.1,7,226.1623206,2201.807125,757351,13,0,6336,6336,10,2250,32.98300171,36.07955551,3.096553802,33.53412361,1.112739865,335.3412361 +6337,MN,515,11,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,471 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C6,2,0, ,NEON MANAGEMENT,2500,8514,2120,6394,0,2120,0,0,0,0,2,1,4,3,4,25,100,25,93,E,3,N,5,2,135806,501987,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,3.41,0,5,6.5,1,1005150011,0,49,984267,203948,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,257.5997263,2579.182098,366181,9,0,6337,6337,12,2700,20.20444489,24.13111115,3.92666626,20.53166707,1.085273222,246.3800049 +6338,MN,384,6,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,9 AVENUE B,R8A, , , , , , , , , ,N,C4,2,0,P,N Y C REALTY CORP,1587,6055,1000,5055,0,1000,0,0,0,0,2,1,5,8,9,19.83,80,20,58, ,3,N,5,2,19806,81315,0,0,1900,0,0, , ,3.82,6,0,6,1,1003840006,0,2202,988853,202205,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,203.4542322,1657.560982,61509,1,0,6338,6338,8,1800,18.08333397,21.31333351,3.229999542,19.26375055,1.525058371,154.1100044 +6339,MN,459,28,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,67 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0,P,"G & L ROYALTY, INC.",1440,5772,1150,4622,0,1150,0,0,0,0,2,1,4,4,6,24,60,24,60, ,2,N,3,5,380144,865068,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,4.01,4,0,4,1,1004590028,0,38,987091,203849,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,177.6632257,1643.779163,484924,1,0,6339,6339,7,1575,35.86666489,36.39221954,0.525554657,35.99110958,0.202559614,251.937767 +6340,MN,410,18,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,123 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,BETTY KING CORP,3256,14730,2738,11992,0,2738,0,0,0,0,2,1,6,31,33,37,88,37,72, ,2,N,5,2,156150,799200,0,0,1900,1987,0, , ,4.52,4,4,4,1,1004100018,0,18,987363,201511,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,253.8068126,3355.756757,643050,13,0,6340,6340,16,3600,33.32444382,35.88777542,2.563331604,33.55694366,0.663496698,536.9110985 +6341,MN,816,12,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,51 WEST 14 STREET,C6-2M, , , , , , , , , ,N,O5,5,0,P,"SERET REALTY, LLC",2582,9336,9336,0,7036,2300,0,0,0,0,2,1,4,0,7,25,103.25,25,98,E,3,N,5,2,202500,619650,0,0,1910,1985,0, , ,3.62,6.02,6,6.5,1,1008160012,0,54,985398,207877,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,267.7590656,2742.283455,417150,7,0,6341,6341,12,2700,28.19599915,28.19599915,0,28.19599915,0,338.3519897 +6342,MN,878,38,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,290 3 AVENUE,C2-8A, , , , , , , , , ,N,D7,4,0,P,"ELEKTRA ACQUISITIONS,",6660,181226,43842,137384,11686,5200,0,26956,0,0,2,1,32,166,168,93.42,75,93,68, ,1,Y,5,2,3028500,27978750,0,0,1990,1991,0, , ,27.21,10,2,10,1,1008780038,0,68,988773,208361,8d, ,104 005,10307, ,1008780038,1/7/1991,1, , ,17V1.1,0,350.6480715,7386.633327,24950300,11,0,6342,6342,32,7200,22.27111053,22.27111053,0,22.27111053,0,712.6755371 +6343,MN,281,46,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,37 DIVISION STREET,C6-1G, , , , , , , , , ,N,N9,8,0,P,CHINESE COMMTY CTR IN,3450,17250,17250,0,0,0,0,0,0,17250,2,1,6,0,1,50,69.08,50,69,E,3,N,5,2,531000,2031300,531000,1870248,1974,0,0, , ,5,3.44,6,6.5,1,1002810046,0,8,985425,199402,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,240.9135828,3535.739632,1500300,16,0,6343,6343,16,3600,35.10200119,39.81111145,4.70911026,35.86237621,1.61499592,573.7980194 +6344,MN,611,2,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,235 WEST 4 STREET,C2-6,R6, , , , , , , , ,Y,D3,3,0, ,LRC - 235 WEST 4TH S,3227,6400,0,6400,0,0,0,0,0,0,2,1,4,7,7,40,80.67,20,64, ,3,N,5,1,101718,366293,0,0,1920,0,0,Greenwich Village Historic District, ,1.98,3.44,2,6.5,1,1006110002,0,73,983474,206851,12a, ,103 015,10209, ,1006110002,12/1/1995,1, , ,17V1.1,0,205.663302,1711.786443,264575,8,0,6344,6344,8,1800,23.83777809,26.20555496,2.367776871,24.64958358,1.051814004,197.1966686 +6345,MN,879,30,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,149 EAST 23 STREET,C6-3A,C2-8A, , , , , , , , ,Y,Z3,8,0,P,USPS,25675,85099,85099,0,85099,0,0,0,0,0,2,1,3,0,1,78,197.5,78,197.5, ,3,Y,4,2,3514500,6794550,3514500,6794550,1936,0,0, , ,3.31,7.52,6,7.5,1,1008790030,0,68,988807,208744,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,771.6885781,26717.50581,3280050,11,0,6345,6345,119,26775,26.06111145,30.67888832,4.617776871,26.26832898,0.875444763,3125.931149 +6346,MN,923,47,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,332 EAST 18 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,332-334 E 18 LLC,3680,16680,0,16680,0,0,0,0,0,0,2,1,6,24,24,40,92,40,80, ,3,N,5,2,274950,2154150,0,0,1910,0,0, , ,4.53,3,0,3,1,1009230047,0,48,989293,206714,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,264.4436136,3627.497379,1879200,5,0,6346,6346,16,3600,14.83555603,17.45777702,2.622220993,15.20583367,0.809394446,243.2933388 +6347,MN,744,32,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,307 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,"CHAN, KWOK TUNG ANTHO",4600,12200,0,12200,0,0,0,0,0,0,2,4,4,24,24,50,92,25,40, ,0,N,5,5,215550,1376550,7080,7080,1850,0,0, , ,2.65,3,0,3,1,1007440032,0,89,984152,210289,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,284.1769254,4565.998185,1161000,7,0,6347,6347,19,4275,15.84222221,15.84222221,0,15.84222221,0,301.0022221 +6348,MN,908,32,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,491 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0, ,SUNG JIN ESTATE CORP,2469,8980,1675,7305,0,1675,0,0,0,0,2,1,5,8,10,24.67,100,25,79, ,3,N,5,2,123563,510240,0,0,1910,0,0, , ,3.64,7.52,2,7.5,1,1009080032,0,66,990041,209221,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,267.9844521,2767.3464,386677,11,0,6348,6348,11,2475,32.6922226,33.38111115,0.68888855,32.75484883,0.198041534,360.3033371 +6349,MN,529,6,102,55.02,2004,2,1,10012,L009,9,15,5700,1,2,2A,654 BROADWAY,M1-5B, , , , , , , , , ,N,D2,3,0, ,ACADIA 654 BROADWAY L,3770,19979,2900,17079,0,2900,0,0,0,0,2,1,6,8,9,29,130,29,123,E,3,N,5,2,244665,649422,0,0,1900,1988,0,NoHo Historic District, ,5.3,0,5,6.5,1,1005290006,0,5502,985588,204071,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,330.6954239,3991.239364,404757,9,0,6349,6349,18,4050,39.93700027,43.18999863,3.252998352,40.13116074,0.743936224,722.3608933 +6350,MN,770,27,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,223 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,223 WEST 20,1950,6965,0,6965,0,0,0,0,0,0,2,1,5,10,10,25,78.33,25,54, ,3,Y,5,2,47990,233857,0,0,1901,0,0, , ,3.57,4,0,4,1,1007700027,0,87,984800,209920,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,210.8256326,2032.508915,185867,7,0,6350,6350,8,1800,22.20999908,22.20999908,0,22.20999908,0,177.6799927 +6351,MN,719,60,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,430 WEST 22 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,PADUKONE MAITREYA,1784,3230,0,2375,0,0,0,0,0,0,2,1,2,2,2,19.08,93.5,19.08,40, ,3,N,5,1,44692,125410,1550,1550,1910,0,0,Chelsea Historic District, ,1.81,3,0,3,1,1007190060,0,89,983432,211090,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,227.6466008,1844.262933,80718,7,1,6351,6351,8,1800,10.39400005,15.09000015,4.696000099,12.51847219,2.13903012,100.1477776 +6352,MN,391,55,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,309 EAST 8 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,PRINCE HOLDINGS 2012,2164,9071,0,9071,0,0,0,0,0,0,2,1,6,17,17,24.75,93.92,25,81, ,2,Y,5,2,180000,758700,0,0,1900,1987,0, , ,4.19,4,0,4,1,1003910055,0,2602,989840,203603,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,244.6895953,2326.900785,578700,12,1,6352,6352,10,2250,8.318888664,8.318888664,0,8.318888664,0,83.18888664 +6353,MN,241,13,103,2.01,2003,1,1,10002,E015,7,14,8000,1,3,1B,270 SOUTH STREET,M1-4, , , , , , , , , ,N,T2,7,0,C,NYC DSBS,568800,365687,365687,0,0,0,0,0,0,365687,2,4,2,0,1,1483.92,426.58,680.85,150.36, ,0,Y,5,0,6075000,76532400,6075000,76532400,1963,0,0, , ,0.64,0,2,6.5,1,1002410013,0,201,988036,197796,12d, ,101N108,10106, ,0, ,1,1,1,17V1.1,0,3445.314601,381141.1695,70457400,16,1,6353,6353,1586,356850,1.139999866,8.942222595,7.802222729,7.087346305,0.730313309,11240.53124 +6354,MN,601,47,102,69,1012,2,3,10014,E024,6,15,6400,1,2,1B,120 LEROY STREET,M1-5, , , , , , , , , ,N,O6,5,0, ,"LF GREENWICH,",13157,118422,118422,0,115422,3000,0,0,0,0,2,1,9,0,5,100.33,125.17,100.33,125, ,0,Y,3,5,1183500,14081400,0,0,1920,2012,0, , ,9,0,5,6.5,1,1006010047,0,69,982040,205260,12a, ,103 001,10208, ,0, ,1, , ,17V1.1,0,482.0743443,14345.09341,12897900,9,0,6354,6354,64,14400,13.63999939,16.22444534,2.584445953,13.8169717,0.553186601,884.2861891 +6355,MN,939,49,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,320 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0,P,"EAST 34TH STREET, LLC",2345,11586,0,11586,0,0,0,0,0,0,2,1,6,24,24,23.75,98.75,23.75,88, ,3,N,5,2,196200,1509300,0,0,1940,1989,0, , ,4.94,10,2,10,1,1009390049,0,70,991180,210372,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,253.4939664,2561.968339,1313100,10,1,6355,6355,11,2475,10.03999996,10.03999996,0,10.03999996,0,110.4399996 +6356,MN,822,7502,105,54,1001,2,3,10011,E014,13,15,5700,1,5, ,35 WEST 20 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,2300,8875,3351,5524,0,3351,0,0,0,0,2,1,4,4,5,0.05,92,25,0, ,0,N,5,5,81342,771138,18778,71752,1926,0,0,Ladies' Mile Historic District, ,3.86,10,10,10,1,1008227502,1009,54,986219,209144,8d, ,102 042,10306, ,1008220014,3/31/1998,1, , ,17V1.1,7,244.8321373,2435.40027,689796,7,0,6356,6356,10,2250,34.23199844,34.23199844,0,34.23199844,0,342.3199844 +6357,MN,176,12,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,35 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,SBA 35 REALTY CORP.,3037,12000,12000,0,12000,0,0,0,0,0,2,1,4,0,4,43.17,70,43,70, ,3,Y,5,2,337500,1085850,0,0,1915,1986,0, , ,3.95,6.02,6,6.5,1,1001760012,0,33,982271,200748,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,232.5947047,3191.162918,748350,14,0,6357,6357,14,3150,14.40400028,14.40400028,0,14.40400028,0,201.656004 +6358,MN,516,26,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,474 WEST BROADWAY,M1-5A,R7-2, , , , , , , , ,Y,D0,3,0, ,SHUTTLEWORTH ARTISTS,10561,51925,10000,41925,0,10000,0,0,0,0,2,1,5,17,20,61.17,172.42,61,170, ,3,Y,4,2,958500,6463350,11800,11800,1900,2016,0,SoHo-Cast Iron Historic District Extensi, ,4.92,0,5,6.5,1,1005160026,0,49,984092,204068,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,474.8491736,10784.80217,5504850,9,0,6358,6358,48,10800,17.67111206,22.89999962,5.228887558,17.86601941,0.941487787,857.5689316 +6359,MN,471,19,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,167 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0,P,"167 MULBERRY STREET,",2560,8830,4330,4500,1500,2180,0,650,0,0,2,1,5,6,8,25.17,99.83,25,51, ,3,Y,5,2,51752,1144834,0,0,1905,1962,2003, , ,3.45,6.02,6,6.5,1,1004710019,0,41,984984,201565,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,258.0185422,2617.714196,1093080,0,0,6359,6359,11,2475,24.86333275,29.06888771,4.205554962,25.57020153,1.505604856,281.2722168 +6360,MN,510,7501,102,43,1004,2,1,10012,L020,5,15,6800,1,2, ,285 LAFAYETTE STREET,C6-3, , , , , , , , , ,N,RM,4,0, , ,14599,121505,32135,85640,17536,14599,0,0,0,0,2,1,9,30,31,126.5,124.7,126,124, ,0,Y,0,5,1394997,15704099,9440,9440,1900,1998,0, , ,8.32,7.52,6,10,1,1005107501,1065,43,985436,203073,12c, ,101N075,10206,E-78,1005100017,12/24/1999,1, , ,17V1.1,7,511.575831,15291.3939,14309100,9,0,6360,6360,69,15525,38.26333237,40.77833176,2.51499939,38.29978163,0.300568352,2642.684933 +6361,MN,597,39,102,37,1012,2,3,10013,E024,1,15,6800,1,2,1B,537 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,E9,6,0, ,537 GREENWICH OWNER L,10000,63000,63000,0,2100,0,0,27000,33900,0,2,1,6,0,1,100,100,100,90, ,3,N,5,2,675000,3150450,0,0,1909,0,0, , ,6.3,0,10,10,1,1005970039,0,37,981863,204173,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,402.423464,10118.52364,2475450,0,1,6361,6361,45,10125,10.5,11.24244499,0.742444992,10.99351648,0.088922823,494.7082415 +6362,MN,529,7503,102,55.02,1002,2,1,10012,L009,9,15,5700,2,2, ,19 BOND STREET,M1-5B, , , , , , , , , ,N,RM,4,0,P,19 BOND ST CONDO ASSO,4697,19331,3000,16331,0,3000,0,0,0,0,2,1,5,10,11,44,114,0,0, ,0,N,5,5,470247,3006448,11800,11800,1900,1987,0,NoHo Historic District Extension, ,4.12,0,5,6.5,1,1005297503,581,5502,985883,203901,12c, ,103 010,10207, ,1005290019,2/11/1989,1, , ,17V1.1,7,323.6348479,5136.231978,2536200,9,0,6362,6362,22,4950,41.23199844,44.67111206,3.439113617,41.74481669,0.997885303,918.3859673 +6363,MN,281,27,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,58 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,TAI LOOP MERCH ASSOCI,1711,5800,5800,0,0,1700,0,0,0,4100,2,1,3,0,2,25,68.33,25,67, ,3,Y,5,2,193500,648000,0,0,1900,1968,0, , ,3.39,3.44,6,6.5,1,1002810027,0,8,985546,199342,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,190.6991826,1720.264133,454500,16,0,6363,6363,8,1800,35.10200119,35.10200119,0,35.10200119,0,280.8160095 +6364,MN,429,64,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,78 EAST 1 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"MAXANNE REALTY, INC.",1710,7800,2040,5760,0,2040,0,0,0,0,2,1,5,8,10,30,57,30,48, ,2,N,5,2,241036,668327,0,0,1920,1989,0, , ,4.56,4,0,4,1,1004290064,0,3002,987594,202770,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,180.4627106,1801.735897,427291,1,0,6364,6364,7,1575,28.19499969,35.02777863,6.832778931,29.46753938,2.38018569,206.2727757 +6365,MN,572,7501,102,63,4000,2,3,10011,E033,6,15,5700,3,2, ,12 WEST 9 STREET,R6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,3005,14106,850,13256,850,0,0,0,0,0,2,1,6,22,23,32,93.92,0,0, ,0,N,5,5,234000,1489500,14160,14160,1952,0,0,Greenwich Village Historic District, ,4.69,2.43,0,4.8,1,1005727501,747,63,985110,206338,12c, ,103 019,10207, ,1005720034,2/26/1991,1, , ,17V1.1,7,260.3471313,3169.502792,1255500,8,0,6365,6365,14,3150,18.70499992,24.41555595,5.71055603,20.07535689,2.296331184,281.0549965 +6366,MN,697,1,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,220 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,T9,7,0,P,220 ELEVENTH LLC,19750,9632,9632,0,0,0,0,0,0,9632,2,1,2,0,1,197.5,100,86,56, ,0,Y,3,5,2440800,3623400,0,0,2008,0,0, , ,0.49,7.52,6,10,1,1006970001,0,99,982713,212650,8b, ,105S004,10301,E-142,0, ,1,1,1,17V1.1,0,620.2915466,21744.55025,1182600,2,1,6366,6366,97,21825,8.569999695,11.665555,3.095555305,10.01274917,0.850730437,971.2366695 +6367,MN,570,20,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,30 EAST 13 STREET,C6-1,C1-7, , , , , , , , ,Y,S9,4,0, ,DOUBLE M K REALTY CO.,1147,3854,1027,2827,0,1027,0,0,0,0,2,1,4,3,5,22.17,51.75,22.17,46, ,3,N,5,5,114000,238791,0,0,1800,0,0, , ,3.36,3.44,6,6.5,1,1005700020,0,61,986238,206912,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,158.0287469,1222.338863,124791,8,0,6367,6367,7,1575,33.2820015,34.6222229,1.340221405,33.4734617,0.468979798,234.3142319 +6368,MN,809,60,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,126 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0,P,126 WEST 34TH ST ASSO,2469,13489,13489,0,0,2000,0,0,0,11489,2,1,6,0,2,25,98.75,25,99, ,3,N,5,2,1282500,3359700,0,0,1910,1986,0, , ,5.46,10,15,15,1,1008090060,0,101,987249,212551,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,260.909571,2792.82989,2077200,6,0,6368,6368,13,2925,41.24700165,43.64333344,2.396331787,41.49337769,0.65655422,539.4139099 +6369,MN,872,65,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,49 IRVING PLACE,R8A, , , , , , , , , ,N,S5,4,0, ,NEW 1804 WASH CORP,1140,4520,1100,3420,0,1100,0,0,0,0,2,1,3,5,6,19,60,19,60, ,3,N,3,5,32172,180446,0,0,1800,0,0,East 17th Street/Irving Place Historic D, ,3.96,6,0,6,1,1008720065,0,50,987670,207376,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,172.2130002,1359.84743,148274,5,0,6369,6369,6,1350,35.47555542,36.11555481,0.63999939,35.61851819,0.236077679,213.7111092 +6370,MN,124,12,101,21,1007,2,1,10007,L010,1,15,7700,1,1, ,111 CHURCH STREET,C6-4, , , , , ,LM, , , ,N,O5,5,0, ,27 PARK PLACE LLC,5557,34456,34456,0,16671,17785,0,0,0,0,2,1,5,0,22,152.92,50.25,153,50, ,3,Y,3,2,693000,2960550,0,0,1880,1987,0, , ,6.2,10,10,10,1,1001240012,0,21,981802,199210,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,426.6229655,6365.811596,2267550,3,0,6370,6370,27,6075,31.70444489,33.17499924,1.470554352,33.05207754,0.342270479,892.4060936 +6371,MN,143,7503,101,39,4007,2,1,10013,E007,1,15,7700,3,1, ,16 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5220,25415,1569,23846,0,0,0,0,0,1569,2,1,6,6,7,49.92,89.12,0,0, ,0,Y,0,5,322999,2407244,0,0,1920,0,0,Tribeca West Historic District, ,4.87,6.02,6,6.5,1,1001437503,1114,39,981487,200803,12a, ,11S 016,10104, ,1001430023,3/24/2000,1, , ,17V1.1,7,347.5890656,5299.628241,2084250,14,0,6371,6371,23,5175,16.87599945,17.13000107,0.254001617,16.89146813,0.054919763,388.503767 +6372,MN,281,55,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,19 DIVISION STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,FUNG REALTY CORP.,1752,7161,1500,5660,0,1500,0,0,0,0,2,1,5,16,17,25,70.25,25,58, ,3,Y,5,2,117000,570150,0,0,1900,0,0, , ,4.09,3.44,6,6.5,1,1002810055,0,8,985213,199380,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,195.3351668,1846.732606,453150,16,0,6372,6372,10,2250,35.10200119,39.92777634,4.825775146,35.74295654,1.472692163,357.4295654 +6373,MN,773,38,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,209 WEST 23 STREET,C2-7A,C6-3X, , , , , , , , ,Y,P8,8,0,C,NEW YORK PUBLIC LIBRA,4099,10230,10230,0,10230,0,0,0,0,0,2,1,4,0,1,38.75,98.75,39,88, ,3,Y,5,2,747000,2436750,747000,2436750,1910,2000,0, ,"NEW YORK PUBLIC LIBRARY, MUHLENBERG",2.5,7.52,2,7.5,1,1007730038,0,91,985374,210528,8d, ,105S009,10304,E-54,0, ,1, , ,17V1.1,0,306.0786627,4383.550241,1689750,2,0,6373,6373,18,4050,23.38899994,28.09555626,4.70655632,24.08659267,1.436472496,433.5586681 +6374,MN,886,34,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,139 EAST 30 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,ANDRADA OWNERS CORP.,3950,16290,900,15390,900,0,0,0,0,0,2,1,6,23,24,40,98.75,40,84, ,3,N,5,2,393300,1633050,16520,16520,1910,1987,0, , ,4.12,4,0,4,1,1008860034,0,72,989587,210255,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,287.1359138,4106.238187,1239750,10,0,6374,6374,18,4050,28.17889023,28.17889023,0,28.17889023,0,507.2200241 +6375,MN,465,58,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,231 EAST 9 STREET,R8B, , , , , , , , , ,N,K4,4,0,P,231 EAST 9TH STREET L,1633,3083,1633,1450,0,1633,0,0,0,0,2,1,2,1,2,25,68.92,25,69, ,3,Y,5,2,293850,586800,0,0,1900,0,0, , ,1.89,4,0,4,1,1004650058,0,40,987630,205097,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,182.952538,1646.207985,292950,12,0,6375,6375,8,1800,31.03333282,31.03333282,0,31.03333282,0,248.2666626 +6376,MN,471,54,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,198 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S4,4,0, ,198 GRAND ST CORP,2467,12373,2445,9928,0,2445,0,0,0,0,2,1,6,4,5,24.42,100,24.45,100, ,3,Y,5,5,249914,2669355,0,371381,2006,0,0, , ,5.02,6.02,6,6.5,1,1004710054,0,41,985171,201359,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,260.6767437,2577.100308,2419440,0,0,6376,6376,10,2250,27.46699905,27.46699905,0,27.46699905,0,274.6699905 +6377,MN,471,57,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,192 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S3,4,0,P,5 G'S REALTY CORP,2495,6351,2475,3876,0,2475,0,0,0,0,2,1,3.75,3,4,24.75,100,24,64, ,3,Y,5,5,111013,437262,0,0,1901,2014,0, ,192 GRAND STREET HOUSE,2.55,6.02,6,6.5,1,1004710057,0,41,985103,201389,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,258.3275908,2518.291681,326249,0,0,6377,6377,11,2475,27.46699905,27.46699905,0,27.46699905,0,302.1369896 +6378,MN,719,19,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,439 WEST 21 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,CHOUKROUN ASSET MANAG,1577,3600,0,3600,0,0,0,0,0,0,2,1,4,8,8,18.92,83,19,44,E,3,N,5,2,97954,394301,0,0,1910,2009,0,Chelsea Historic District, ,2.28,3,0,3,1,1007190019,0,89,983224,211078,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,209.8721481,1579.099549,296347,7,1,6378,6378,7,1575,9.307999611,12.87333298,3.565333366,10.22158691,1.457823803,71.55110836 +6379,MN,779,1,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,382 8 AVENUE,C6-3X, , , , , , , , , ,N,C4,2,0,P,382 8TH AVENUE REALTY,2500,9876,2876,7000,0,2876,0,0,0,0,2,2,4,7,8,24.67,100,25,100, ,1,Y,3,2,98085,636798,0,0,1901,1980,2008, , ,3.95,9,6,9,1,1007790001,0,95,985531,212163,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,261.5057564,2754.913685,538713,6,0,6379,6379,12,2700,29.08600044,29.08600044,0,29.08600044,0,349.0320053 +6380,MN,615,22,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,250 WEST 12 STREET,R6, , , , , , , , , ,N,C0,2,0, ,WILLIAM S NIMMO,1722,4160,0,3120,0,0,0,0,0,0,2,1,3,3,3,20.67,83.33,20.67,42,E,3,Y,5,1,53644,163569,0,0,1899,0,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006150022,0,77,983516,207944,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,213.4530184,1792.183902,109925,8,0,6380,6380,7,1575,23.05999947,23.13555527,0.075555801,23.07079315,0.026439023,161.4955521 +6381,MN,527,53,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,54 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0,P,CREATIVE INDUSTRIESCP,3600,18024,1200,16824,0,1200,0,0,0,0,2,1,6,32,33,45,80,45,80,E,3,N,3,2,472500,3506400,0,0,1903,0,0,Greenwich Village Historic District Exte, ,5.01,2.43,0,4.8,1,1005270053,0,67,983220,205132,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,257.7240322,3835.795543,3033900,9,0,6381,6381,17,3825,15.38333321,15.38333321,0,15.38333321,0,261.5166645 +6382,MN,355,62,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,167 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,5000,22943,0,22943,0,0,0,0,0,0,2,2,6,26,26,50,100,50,89, ,0,N,5,5,180000,473850,0,277200,1900,1992,0, , ,4.59,4,0,4,1,1003550062,0,3001,988340,202028,12c, ,102 004,10201, ,1003550062,1/7/1993,1, , ,17V1.1,0,309.4904673,5311.852507,293850,1,0,6382,6382,23,5175,23.94333458,26.78433228,2.840997696,24.20982709,0.75378244,556.8260231 +6383,MN,620,65,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,64 CHARLES STREET,R6, , , , , , , , , ,N,S9,4,0, ,246 W 4TH ST CORP,960,3350,850,2500,0,850,0,0,0,0,2,1,4,3,5,19.5,49,19,48,E,2,N,3,5,105883,241875,0,0,1910,1985,0,Greenwich Village Historic District, ,3.49,2.43,0,4.8,1,1006200065,0,73,983356,206968,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,149.5731676,1140.886569,135992,8,0,6383,6383,5,1125,24.70777702,27.09333229,2.385555267,25.61879959,0.996908019,128.093998 +6384,MN,280,47,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,27 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O3,5,0, ,KEE YIP REALTY LLC,2202,13705,13705,0,13705,0,0,0,0,0,2,1,7,0,2,25.17,87.5,25,88, ,0,N,5,5,367200,3184650,0,0,1900,1987,0, , ,6.22,3.44,6,6.5,1,1002800047,0,8,985160,199146,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,233.3762358,2378.638225,2817450,16,0,6384,6384,9,2025,29.04899979,35.69444656,6.645446777,30.49070358,2.698206168,274.4163322 +6385,MN,801,8,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,159 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,159 WEST 25TH STREET,7369,86027,86027,0,80027,6000,0,0,0,0,2,1,12,0,11,74.58,98.75,75,96, ,0,N,5,5,1152000,7491600,0,0,1911,0,0, , ,11.67,0,10,10,1,1008010008,0,91,985930,210809,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,354.9124816,7645.741027,6339600,2,0,6385,6385,35,7875,32.50999832,36.24399948,3.73400116,32.61668407,0.622079461,1141.583942 +6386,MN,308,16,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,59 ORCHARD STREET,C6-2G, , , , , , , , , ,N,L8,6,0, ,ORCHARD STREET EQUITI,6896,34465,34465,0,11306,6200,0,16959,0,0,2,1,5,0,10,78.33,88.08,78,88, ,3,N,4,2,670500,2262600,0,0,1910,0,0, , ,5,6.02,6,6.5,1,1003080016,0,16,986710,200461,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,341.6363285,7266.970737,1592100,13,0,6386,6386,33,7425,36.62400055,40.64666748,4.022666931,36.78259312,0.713890235,1213.825573 +6387,MN,694,60,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,548 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,G1,10,0, ,U-HAUL INTNL INC,4937,4937,4937,0,0,0,4937,0,0,0,2,1,1,0,1,50,98.75,50,98.75, ,0,N,5,5,310950,584100,0,0,1964,0,0, , ,1,7.52,6,7.5,1,1006940060,0,99,982478,211910,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,294.2111306,4820.035925,273150,2,1,6387,6387,21,4725,6.936999798,7.824444771,0.887444973,6.979259082,0.188989265,146.5644407 +6388,MN,619,12,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,246 WEST 10 STREET,C1-6, , , , , , , , , ,N,A5,1,0, ,"GEORGIADES, WILLIAM J",1044,4084,0,3063,0,0,0,0,0,0,2,1,2.5,1,1,20,52.21,20,49.6, ,3,N,5,1,48331,168033,0,0,1901,0,0,Greenwich Village Historic District, ,3.91,3.44,2,6.5,1,1006190012,0,73,982623,206573,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,141.0817424,992.7807985,119702,9,0,6388,6388,5,1125,20.56999969,23.47777748,2.907777786,21.26199989,1.128343986,106.3099995 +6389,MN,644,5,102,79,1006,2,3,10014,L005,6,15,6100,1,2,3B,93 GANSEVOORT STREET,M1-5, , , , , , , , , ,N,P7,8,0,P,WHITNEY MUSEUM OF AME,35667,232421,232421,0,0,0,0,0,0,232421,2,1,9,0,0,0,0,281.11,136, ,0,N,0,5,2927700,38322900,2927700,36311400,2011,0,0, , ,6.52,0,5,6.5,1,1006440005,0,79,981786,208724,8b, ,103 039,10210,R-201,1006440001,12/18/2013,1,1,1,17V1.1,0,819.9860062,30435.27167,35395200,8,1,6389,6389,137,30825,7.369999886,9.140000343,1.770000458,9.003536388,0.425695574,1233.484485 +6390,MN,879,69,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,126 EAST 24 STREET,C6-2A,C6-4A, , , , , , , , ,Y,C4,2,0,P,SUPREME COMPANY I LLC,7692,28397,0,28397,0,0,0,0,0,0,2,1,5,28,28,80,98.75,80,91, ,3,Y,5,2,787500,3251250,0,0,1910,1984,0, , ,3.69,6.02,6,6.5,1,1008790069,0,68,988424,208959,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,368.9815715,8130.45921,2463750,11,0,6390,6390,36,8100,28.24111176,30.22999954,1.988887787,28.37520425,0.463775079,1021.507353 +6391,MN,97,7503,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1, ,220 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,RM,4,0, ,220 FRONT ST CONDO,5325,24530,7134,17396,0,7134,0,0,0,0,2,1,5,15,16,75,71,0,0, ,0,Y,0,5,284850,3730050,0,736128,1910,0,0,South Street Seaport Historic District, ,4.61,6.02,6,6.5,1,1000977503,1412,1501,983596,197077,12b, ,11S 023,10103, ,1000970037,4/5/2005,1,1,1,17V1.1,7,308.3418022,5636.714825,3445200,4,1,6391,6391,24,5400,5.993332863,5.993332863,0,5.993332863,0,143.8399887 +6392,MN,499,7504,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,115 SPRING STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,3750,16520,4906,11614,0,4906,0,0,0,0,2,1,5,4,5,37.5,100,0,0, ,0,Y,0,5,74705,902321,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,4.41,0,5,6.5,1,1004997504,885,49,984266,202984,12c, ,101N072,10206, ,1004990041,12/24/1994,1, , ,17V1.1,7,285.4323302,3975.885195,827616,0,0,6392,6392,17,3825,22.35555458,22.35555458,0,22.35555458,0,380.0444279 +6393,MN,872,74,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,104 EAST 17 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,NEW 1804 WASH CORP,2156,4257,0,4257,0,0,0,0,0,0,2,1,3,6,6,25.67,84,26,77,E,3,N,5,5,63187,297133,0,0,1900,0,0,East 17th Street/Irving Place Historic D, ,1.97,4,0,4,1,1008720074,0,50,987448,207461,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,224.7286252,2189.05347,233946,5,0,6393,6393,9,2025,35.47555542,35.47555542,0,35.47555542,0,319.2799988 +6394,MN,530,13,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,366 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D6,4,0, ,GREAT JONES LAFAYETTE,3035,15520,2143,13377,0,2143,0,0,0,0,2,1,6,8,10,101,35,25,100, ,2,Y,3,2,520569,2671434,0,0,2013,0,0,NoHo Historic District, ,5.11,0,5,6.5,1,1005300013,0,5502,985919,204204,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,272.5823264,3320.589639,2150870,9,0,6394,6394,14,3150,40.02500153,41.68999863,1.664997101,40.19083459,0.448681946,562.6716843 +6395,MN,758,1,104,111,1003,2,3,10001,L021,14,15,5500,1,4,2A,432 9 AVENUE,C6-4, , , , , ,HY, , , ,N,K2,5,0, ,361 WEST 34TH ST CORP,2888,5776,5776,0,0,5776,0,0,0,0,2,1,2,0,4,49.33,58.5,50,58, ,2,N,3,2,225900,1804050,0,0,1920,0,0, , ,2,10,10,10,1,1007580001,0,111,985376,213783,8d, ,105N031,10304,E-137,0, ,1, , ,17V1.1,0,229.5421694,3274.694942,1578150,6,0,6395,6395,15,3375,46.98799896,48.2211113,1.233112335,47.16506602,0.333455692,707.4759903 +6396,MN,465,57,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,233 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"STECK, ULANA",2596,12072,0,12072,0,0,0,0,0,0,2,1,6,18,18,45,68.92,45,63, ,2,Y,5,2,191250,992700,0,0,1900,0,0, , ,4.65,4,0,4,1,1004650057,0,40,987655,205081,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,237.1667275,2607.113867,801450,12,0,6396,6396,11,2475,31.03333282,31.03333282,0,31.03333282,0,341.3666611 +6397,MN,921,13,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,321 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,321 E14 LLC,2375,7630,1200,6430,0,1200,0,0,0,0,2,1,4,8,9,23,103.25,23,72, ,3,N,5,1,86391,393283,0,0,1910,1976,0, , ,3.21,4,2,4,1,1009210013,0,48,988730,206035,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,259.599847,2435.581052,306892,12,0,6397,6397,11,2475,22.90500069,27.64999962,4.744998932,24.06661658,1.642270845,264.7327824 +6398,MN,506,20,102,37,3001,2,3,10014,E024,1,15,6800,1,2,1B,24 CHARLTON STREET,R6, , , , , , , , , ,N,B1,1,0, ,"EISENBERG, JANIE O",1877,1910,0,1910,0,0,0,0,0,0,2,1,2.75,2,2,18.75,100.08,18.75,36, ,2,N,5,2,21274,105503,1550,1550,1899,0,0,Charlton-King-Vandam Historic District, ,1.02,2.43,0,4.8,1,1005060020,0,37,983074,204071,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,243.5154682,2024.859693,84229,0,0,6398,6398,8,1800,20.62700081,22.78999901,2.162998199,21.28016686,0.86315781,170.2413349 +6399,MN,592,62,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,140 WAVERLY PLACE,R6, , , , , , , , , ,N,D1,3,0, ,140 WAVERLY ASSOCIAT,2823,12144,0,12144,0,0,0,0,0,0,2,1,6,23,23,29.08,97.08,29,82, ,3,Y,5,2,253800,1405350,0,0,1930,1984,0,Greenwich Village Historic District, ,4.3,2.43,0,4.8,1,1005920062,0,71,984032,206338,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,250.3036951,2641.031811,1151550,9,0,6399,6399,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +6400,MN,860,74,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,12 EAST 31 STREET,C5-2, , , , , , , , , ,N,H2,5,0, ,"LEMARQUIS ASSOCIATES,",6000,63967,0,0,0,0,0,0,0,0,2,1,13,0,3,53.67,112.5,75,111, ,3,Y,5,2,3204000,13077450,0,0,1903,0,0, , ,10.66,10,10,10,1,1008600074,0,74,988345,211050,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,382.4565657,6610.926056,9873450,10,0,6400,6400,30,6750,37.50888824,39.60889053,2.100002289,37.58873647,0.378859028,1127.662094 +6401,MN,442,7,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,16 2 AVENUE,C6-2A, , , , , ,TA, , , ,N,D5,3,0,P,CUBE BLDG HDG DVLP ET,3925,22197,3171,19026,0,3171,0,0,0,0,2,1,7,22,23,47.83,68.92,45,60, ,3,Y,3,2,330300,2068200,293967,1840698,1900,1989,0, , ,5.66,6.02,6,6.5,1,1004420007,0,3602,986838,203060,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,255.4441734,3975.172408,1737900,1,0,6401,6401,19,4275,37.79999924,40.16666794,2.366668701,38.09298204,0.692201551,723.7666588 +6402,MN,537,26,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,534 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,D0,3,0, ,LAGUARDIA STUDIO CORP,5503,41384,5500,35884,0,5500,0,0,0,0,2,1,8,15,16,65.33,90,65,84, ,3,Y,5,2,205650,3813750,2360,2360,1912,1980,0,South Village Historic District, ,7.52,3.44,0,6.5,1,1005370026,0,65,984615,204795,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,316.1976855,5697.842981,3608100,9,0,6402,6402,26,5850,27.39777756,30.32644463,2.928667068,27.60132459,0.709449164,717.6344395 +6403,MN,282,9,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,85 HENRY STREET,C6-1G, , , , , , , , , ,N,G6,10,0, ,MEI TONG REALTY LLC,5625,0,0,0,0,0,0,0,0,0,7,1,0,0,0,75,75,0,0, ,0,N,5,5,734850,734850,0,0,0,0,0, , ,0,3.44,6,6.5,1,1002820009,0,8,986106,199152,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,303.7181179,5762.845591,0,16,0,6403,6403,25,5625,35.95999908,39.04999924,3.090000153,37.31300507,0.796078482,932.8251266 +6404,MN,537,12,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,230 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,230 THOMPSON STREET,4265,17899,2950,14949,0,2950,0,0,0,0,2,1,6,32,34,56.58,88,57,62, ,3,Y,5,2,356850,2681550,0,0,1900,1981,0,South Village Historic District, ,4.2,3.44,0,6.5,1,1005370012,0,65,984624,204991,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,288.9614484,4317.658009,2324700,9,0,6404,6404,18,4050,27.39777756,29.15444374,1.756666183,27.51111084,0.403798203,495.199995 +6405,MN,480,9,102,41,6000,2,1,10012,E055,5,15,6800,1,2,1G,196 MULBERRY STREET,C6-1,C6-2, , , , ,LI, , , ,Y,G1,10,0,P,KENMARE AND MULBERRY,11362,33639,33639,0,0,0,33639,0,0,0,2,1,3,0,1,117.92,100.83,117.08,100, ,0,Y,3,5,3412350,3577905,0,0,1922,2016,0, , ,2.96,3.44,6,6.5,1,1004800009,0,41,985292,202083,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,462.8553049,12142.33395,165555,0,0,6405,6405,56,12600,35.99555588,40.21333313,4.217777252,38.92195347,0.536858388,2179.629395 +6406,MN,379,51,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,725 EAST 9 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,725 727 E 9TH ST REAL,7381,24582,0,24582,0,0,0,0,0,0,2,1,7,36,36,80,92.25,80,85, ,0,N,5,5,1561500,3121650,0,0,2001,0,0, , ,3.33,4,0,4,1,1003790051,0,28,990724,203398,12c, ,102 023,10202, ,1003790051,2/6/2001,1, ,1,17V1.1,0,344.4751811,7362.378258,1560150,12,1,6406,6406,30,6750,7.409999847,7.885000229,0.475000381,7.726666768,0.223917327,231.8000031 +6407,MN,885,19,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,140 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,G7,10,0, ,140 LEX LLC,2469,0,0,0,0,0,0,0,0,0,7,2,0,0,0,24.69,100,0,0, ,0,N,3,5,354600,354600,0,0,0,0,0, , ,0,6.02,6,6.5,1,1008850019,0,72,989179,210145,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,260.3511317,2768.619261,0,11,0,6407,6407,12,2700,31.41333389,33.80333328,2.38999939,32.87398132,0.710161539,394.4877758 +6408,MN,712,24,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,409 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0,P,405 WEST 14TH STREET,5162,18194,18194,0,12352,5842,0,0,0,0,2,1,4,0,3,50,103.25,50,99, ,3,N,5,0,317700,3169800,0,0,1929,2009,1998,Gansevoort Market Historic District, ,3.52,0,5,6.5,1,1007120024,0,83,982590,209428,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,321.1343785,5514.242051,2852100,7,0,6408,6408,24,5400,12.4989996,13.60733318,1.108333588,12.58158759,0.275997681,301.9581022 +6409,MN,525,7504,102,65,4001,2,1,10012,L009,6,15,5700,2,2, ,510 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,RC,5,0, , ,3125,13686,13686,0,9367,2134,0,0,0,2185,2,1,5,0,6,25,125,25,125, ,0,N,0,5,319500,1775607,0,0,1900,0,0,South Village Historic District, ,4.38,3.44,0,6.5,1,1005257504,861,65,984449,204482,12c, ,103 007,10206, ,1005250048,12/21/1993,1, , ,17V1.1,7,313.6687001,3505.533137,1456110,9,0,6409,6409,15,3375,23.62666702,28.89888954,5.272222519,24.17410405,1.459239505,362.6115608 +6410,MN,870,24,106,50,4001,2,2,10003,E005,13,14,5300,1,6,1A,121 EAST 14 STREET,C6-3X,C1-9A, , , , , , , , ,Y,U2,7,0,P,CONSOLIDATED EDISON C,86730,0,0,0,0,0,0,0,0,0,7,1,0,0,0,420,206.5,0,0, ,0,N,3,5,36000000,192205169,0,0,0,0,0, ,CONSOLIDATED EDISON COMPANY BUILDIN,0,9,6,9,1,1008700024,0,50,987646,206693,12c, ,102 035,10307, ,0, ,1, , 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+6413,MN,344,67,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,89 PITT STREET,R7A, , , , , , , , , ,N,C4,2,0,P,"ASIAN AMERICAN HDFC,",2500,11495,0,11495,0,0,0,0,0,0,2,1,6,12,12,25,100,25,80, ,3,N,5,0,180000,524250,180000,524250,1920,1992,0, , ,4.6,4,0,4,1,1003440067,0,2201,989067,201134,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,253.9979941,2576.080401,344250,1,0,6413,6413,11,2475,17.05666733,17.05666733,0,17.05666733,0,187.6233406 +6414,MN,501,36,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,151 SPRING STREET,M1-5A, , , , , , , , , ,N,D2,3,0, ,151 SPRING REALTY LLC,1950,10375,1729,8646,0,1729,0,0,0,0,2,1,6,5,7,26,75,25,75, ,3,Y,5,2,437928,1028196,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.32,0,5,6.5,1,1005010036,0,49,983854,203235,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,203.2926264,1914.01768,590268,0,0,6414,6414,8,1800,15.00755596,15.00755596,0,15.00755596,0,120.0604477 +6415,MN,872,44,106,50,5001,2,2,10003,E005,13,14,5300,1,6,1A,184 3 AVENUE,C1-9A, , , , , , , , , ,N,K1,5,0,P,184 ENTERPRISES INC,1103,1103,1103,0,0,1103,0,0,0,0,2,1,1,0,1,18.67,59,18.67,59, ,3,N,3,0,229500,471150,0,0,1965,0,0, , ,1,10,2,10,1,1008720044,0,50,988102,207137,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,166.9012469,1282.01793,241650,5,0,6415,6415,5,1125,31.57888794,32.81777954,1.238891602,31.95288849,0.496743721,159.7644424 +6416,MN,849,57,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,28 EAST 21 STREET,M1-5M, , , , , , , , , ,N,C6,2,0, ,RAFAEL SASSOUNI MANAC,2750,5950,0,5950,0,0,0,0,0,0,2,1,4,7,7,25,110,25,56, ,3,N,5,2,159833,486450,2360,2360,1925,1979,2012,Ladies' Mile Historic District, ,2.16,0,5,6.5,1,1008490057,0,52,987324,208631,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,283.4229319,2923.096727,326617,7,0,6416,6416,14,3150,34.69888687,37.82555771,3.126670837,34.9222205,0.805240859,488.911087 +6417,MN,779,55,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,220 WEST 30 STREET,M1-6D, , , , , , , , , ,N,K2,5,0, ,220 WEST 30 LLC,2312,4419,4419,0,0,4419,0,0,0,0,2,1,2,0,1,23.42,98.75,23.42,99,E,3,N,5,2,135000,581850,0,0,1920,0,0, , ,1.91,10,10,10,1,1007790055,0,95,986020,212054,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,256.3732624,2558.59538,446850,6,0,6417,6417,12,2700,31.05999947,32.73110962,1.671110153,31.19925865,0.461870447,374.3911037 +6418,MN,405,8,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,188 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,LUCKY JAB REALTY CORP,1755,8775,1200,7575,0,1200,0,0,0,0,2,1,5,12,14,26,67.5,26,68, ,2,N,3,2,67500,561150,0,0,1920,1988,0, , ,5,4,0,4,1,1004050008,0,34,989469,204832,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,195.0136816,1952.362193,493650,12,0,6418,6418,9,2025,13.81444454,15.6635561,1.849111557,14.04477787,0.576566329,126.4030008 +6419,MN,829,68,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,44 WEST 28 STREET,C6-4X,M1-6, , , , , , , , ,Y,O6,5,0, ,44 W. 28 PENN PLAZA P,9776,141830,141830,0,132830,9000,0,0,0,0,2,1,16,0,13,99,98.75,99,96,E,3,N,5,2,2700000,20822850,0,0,1911,1990,0, , ,14.51,10,10,10,1,1008290068,0,58,987014,210914,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,398.4188452,9920.402966,18122900,2,0,6419,6419,45,10125,42.75111008,45.36000061,2.608890533,42.80908542,0.384564934,1926.408844 +6420,MN,911,44,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,238 EAST 31 STREET,R7B, , , , , , , , , ,N,M1,8,0,X,EPISCPL CHRCH GOOD SH,6405,26130,26130,0,0,0,0,0,0,26130,2,1,3,0,1,51.08,98,90,51, ,0,Y,5,5,553500,1505250,553500,1505250,1920,0,0, , ,4.08,3,0,3,1,1009110044,0,70,990316,209965,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,332.1009135,6100.101542,951750,10,0,6420,6420,27,6075,29.22888947,32.2677803,3.038890839,29.38580308,0.608724712,793.4166832 +6421,MN,765,70,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,248 WEST 16 STREET,R8B,C1-6A, , , , , , , , ,Y,D4,3,0, ,250 W 16 ST OWNERS CO,10325,49816,0,49816,0,0,0,0,0,0,2,1,5,46,46,100,103.25,86,100, 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STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"CHILDRESS, STEPHEN WI",901,2896,0,2132,0,0,0,0,0,0,2,1,2,2,2,18.5,61,18.5,38, ,3,Y,5,1,46220,126742,0,0,1899,0,0,Greenwich Village Historic District, ,3.21,3.44,2,6.5,1,1006340058,0,75,982482,207538,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,152.8947497,1024.706065,80522,8,0,6453,6453,6,1350,18.61700058,18.61700058,0,18.61700058,0,111.7020035 +6454,MN,577,37,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,6 WEST 14 STREET,C6-2M, , , , , , , , , ,N,O5,5,0,P,4-6 WEST 14TH STREET,4440,19642,19642,0,10990,4326,0,4326,0,0,2,1,4,0,8,43,103.25,43,103, ,3,N,5,2,337500,1473300,0,121500,1910,0,0, , ,4.42,6.02,6,6.5,1,1005770037,0,63,985813,207423,12c, ,103 020,10207, ,1005770037,9/6/2001,1, , ,17V1.1,0,305.7652646,4670.854952,1135800,8,0,6454,6454,22,4950,30.09499931,34.24888992,4.15389061,30.47201954,1.192244343,670.3844299 +6455,MN,540,14,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,130 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,H8,8,0,X,NEW YORK UNIVERSITY,17351,153348,40600,0,40600,0,0,0,0,0,2,2,14,0,2,90.67,175,175,116, ,2,Y,3,2,5844150,8696250,5844150,8696250,1987,0,0,South Village Historic District, ,8.84,3.44,0,6.5,1,1005400014,0,65,984272,205267,12c, ,103 007,10207, ,1005400014,12/15/1989,1, , ,17V1.1,0,592.5931845,17990.70716,2852100,9,0,6455,6455,79,17775,22.5755558,24.56111145,1.985555649,22.73293971,0.460261087,1795.902237 +6456,MN,283,14,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,135 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0,X,CONG SONS MOSES ASHEI,2304,4072,1300,2772,0,1300,0,0,0,0,2,1,3,2,4,26.33,87.5,26,58,E,3,Y,5,5,143217,208516,143217,208516,1900,0,0, , ,1.77,3.44,0,6.5,1,1002830014,0,6,986759,199230,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,236.4752429,2372.582025,65299,16,0,6456,6456,12,2700,28.23333359,31.39800072,3.16466713,28.67803733,1.014831659,344.1364479 +6457,MN,771,29,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,217 WEST 21 STREET,R8B, , , , , , , , , ,N,L9,6,0, ,217 WEST 21 STREET LL,4938,13688,13688,0,0,0,4562,9126,0,0,2,1,3,0,2,50,98.75,50,99, ,3,N,5,2,252450,1675350,0,0,1920,0,0, , ,2.77,4,0,4,1,1007710029,0,87,984972,210117,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,300.4521752,5011.309322,1422900,7,0,6457,6457,21,4725,22.40399933,23.32088852,0.916889191,22.44766072,0.195259672,471.4008751 +6458,MN,530,54,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,28 BOND STREET,M1-5B, , , , , , , , , ,N,S3,4,0,P,"MEHMET ROBERTS, SAADA",2675,6476,1619,4857,0,1619,0,0,0,0,2,1,4,3,4,26.75,100,27,72, ,3,N,5,5,139270,291922,0,0,1905,0,0,NoHo Historic District Extension, ,2.42,0,5,6.5,1,1005300054,0,5502,986057,203992,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,259.4389119,2757.413559,152652,9,0,6458,6458,13,2925,43.14099884,43.14099884,0,43.14099884,0,560.8329849 +6459,MN,419,45,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,118 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,118 FORSYTH CO OP IN,2583,17038,0,17038,0,0,0,0,0,0,2,1,7,7,7,25.83,100.25,25,93, ,3,Y,5,2,133959,517858,46840,46840,1915,2014,2008, , ,6.6,4,4,4,1,1004190045,0,18,986424,201268,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,257.5714593,2565.609716,383899,13,0,6459,6459,10,2250,39.86888886,42.69444275,2.825553894,40.15144424,0.847666168,401.5144424 +6460,MN,377,66,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,243 EAST 7 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,SCI OONE REAL ESTATE,2381,3084,0,3084,0,0,0,0,0,0,2,1,3,3,3,24.42,97.5,24.42,44,E,2,N,5,2,6524,24873,0,0,1899,0,0, , ,1.3,4,0,4,1,1003770066,0,2602,990308,203057,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,250.2825613,2555.982495,18349,12,1,6460,6460,12,2700,7.448888779,8.821110725,1.372221947,8.007314682,0.574563417,96.08777618 +6461,MN,455,50,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,329 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C1,2,0, ,329 EAST 13 LLC,4646,18570,0,18570,0,0,0,0,0,0,2,1,6,24,24,45,103.25,42,92, ,3,N,5,2,576000,2220750,0,0,1910,1985,0, , ,4,4,2,4,1,1004550050,0,40,988697,205702,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,306.3236443,4883.655074,1644750,12,0,6461,6461,23,5175,22.17099953,26.86111069,4.69011116,22.6882942,1.246849436,521.8307667 +6462,MN,626,1,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,809 GREENWICH STREET,R6,C1-6, , , , , , , , ,Y,C4,2,0,P,65 JANE STREET,6695,15250,925,14325,925,0,0,0,0,0,2,1,4,27,27,75,74,75,56, ,0,Y,3,5,549000,2286450,0,0,1901,0,0,Greenwich Village Historic District, ,2.28,2.43,0,4.8,1,1006260001,0,79,982525,208269,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,401.1885505,7238.981586,1737450,8,0,6462,6462,31,6975,15.42222214,16.78666687,1.364444733,15.76587825,0.544145708,488.7422256 +6463,MN,463,18,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,18 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,18 ST MARKS PLACE TRI,3120,7566,1892,5674,0,1892,0,0,0,0,2,1,4,15,17,26,120,26,79, ,3,N,5,2,240750,1585800,0,0,1900,0,0, , ,2.43,4,0,4,1,1004630018,0,38,987281,204836,12c, ,102 018,10205,E-216,0, ,1, , 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,17V1.1,0,174.6819865,966.434423,76624,5,0,6467,6467,4,900,30.81999969,33.71144485,2.89144516,31.54286098,1.252032481,126.1714439 +6468,MN,589,40,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,307 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,K4,4,0, ,CIN CIN LLC,4067,4550,4550,0,2275,2275,0,0,0,0,2,1,2,0,2,25,158,25,91, ,3,Y,5,0,450000,956700,0,0,1920,1988,0,Greenwich Village Historic District Exte, ,1.12,3.44,0,6.5,1,1005890040,0,67,983671,205559,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,376.9656104,3929.810199,506700,9,0,6468,6468,18,4050,15.87222195,20.67099953,4.79877758,16.99166028,1.818613958,305.849885 +6469,MN,805,2,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,343 7 AVENUE,M1-6, , , , , , , , , ,N,O5,5,0, ,"343 7TH AVENUE, LLC",1861,5260,5260,0,3410,1850,0,0,0,0,2,1,4,0,4,24.67,75,24.67,75,E,3,N,5,2,306000,795600,0,0,1920,0,0, , ,2.83,0,10,10,1,1008050002,0,95,986322,211757,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,201.5006085,1883.57341,489600,6,0,6469,6469,8,1800,34.45666504,35.13777924,0.681114197,34.67555428,0.184198644,277.4044342 +6470,MN,435,43,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,117 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,117-119 EAST 7TH ST.,4095,16392,2732,13660,0,2732,0,0,0,0,2,1,6,27,30,42,111.75,42,84, ,3,Y,5,2,443250,2322450,0,0,1920,1988,0,East Village/Lower East Side Historic Di, ,4,4,0,4,1,1004350043,0,32,988603,204000,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,310.2765367,4235.432103,1879200,12,0,6470,6470,20,4500,18.46888924,18.46888924,0,18.46888924,0,369.3777847 +6471,MN,753,26,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,317 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,CHELSEA 317 LLC,4345,11715,0,11715,0,0,0,0,0,0,2,2,5,38,38,44,98.75,22,54, ,2,N,5,2,213750,1992150,0,0,1900,1986,0, , ,2.7,4,0,4,1,1007530026,0,97,985186,212400,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,291.1509949,4389.464763,1778400,6,0,6471,6471,19,4275,28.20800018,32.8144455,4.606445313,29.2733334,1.552937328,556.1933346 +6472,MN,406,55,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,519 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,519 EAST 12 REALTY LL,2581,7459,800,6659,0,800,0,0,0,0,2,2,4,21,22,25,103.25,25,50, ,3,N,5,2,33300,881550,0,0,1905,1979,0, , ,2.89,4,0,4,1,1004060055,0,34,989726,204828,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,262.5208899,2651.871749,848250,12,0,6472,6472,12,2700,13.0880003,15.3955555,2.307555199,13.30824097,0.636080949,159.6988916 +6473,MN,449,40,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,83 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,TOWNHOUSE 83 LLC,2438,7677,1729,5948,0,1729,0,0,0,0,2,1,4,8,9,25,97.5,25,58, ,3,N,5,2,22277,278616,0,0,1900,2009,2009,East Village/Lower East Side Historic Di, ,3.15,4,0,4,1,1004490040,0,38,988115,204271,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.5527973,2486.862297,256339,12,0,6473,6473,11,2475,25.48777771,27.48744583,1.999668121,25.86975757,0.66267659,284.5673332 +6474,MN,861,13,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,17 EAST 31 STREET,C5-2, , , , , , , , , ,N,K4,4,0,P,SEJAAN REALTY CORP,2161,8460,5833,2627,4233,1600,0,0,0,0,2,1,6,2,8,21.83,98.75,22,86,E,3,N,5,2,227250,866250,0,0,1920,0,0, , ,3.91,10,10,10,1,1008610013,0,74,988479,211160,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,252.3387836,2200.686022,639000,10,0,6474,6474,9,2025,38.80799866,38.9386673,0.13066864,38.8225174,0.041065192,349.4026566 +6475,MN,164,21,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,83 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,SAULT SIDE INC,1762,7710,1500,6210,0,1500,0,0,0,0,2,1,5,8,11,25,75,25,65, ,3,Y,5,2,119250,599850,0,0,1915,0,0, , ,4.38,3.44,6,6.5,1,1001640021,0,29,984541,199991,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,201.5059296,1785.948383,480600,14,0,6475,6475,9,2025,24.29500008,29.85222244,5.557222366,25.52808656,2.306896913,229.752779 +6476,MN,372,64,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,270 EAST 2 STREET,R8A, , , , , , , , , ,N,N2,8,0,P,NEW YORK CENTER ETAL,8162,17405,17404,0,0,0,0,0,0,17404,2,1,3,0,1,77,105.92,70,100, ,0,N,5,5,387000,2713500,387000,2713500,1900,0,0, , ,2.13,6,0,6,1,1003720064,0,2202,989693,201946,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,369.5491669,8298.612418,2326500,1,0,6476,6476,36,8100,13.80700016,16.37444496,2.567444801,14.16727172,0.760263246,510.0217819 +6477,MN,859,58,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,34 EAST 30 STREET,C5-2, , , , , , , , , ,N,D0,3,0, ,34 EAST 30TH STREET C,3335,26648,3332,23316,0,3332,0,0,0,0,2,1,9,3,9,34,98.75,34,96,E,3,N,5,2,200621,1943433,88855,88855,1921,1981,2009, , ,7.99,10,10,10,1,1008590058,0,74,988644,210601,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,276.3917229,3534.600639,1742810,10,0,6477,6477,16,3600,37.60300064,39.61444473,2.011444092,37.7287159,0.486893092,603.6594543 +6478,MN,883,72,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,112 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,LOCURCIO GENNARO E,1521,4103,1025,3078,1025,0,0,0,0,0,2,1,4,3,4,19.75,77,20,42, ,3,N,5,5,217786,461401,0,0,1920,1985,0, , ,2.7,6.02,6,6.5,1,1008830072,0,68,988997,209792,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,198.2769244,1531.064861,243615,11,0,6478,6478,7,1575,33.29444504,33.63888931,0.344444275,33.34365136,0.120530388,233.4055595 +6479,MN,281,53,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,23 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,4 BROS SOC,1625,4350,4350,0,2750,1600,0,0,0,0,2,1,3,0,4,25,65,25,65, ,3,N,5,2,107100,728550,0,0,1910,0,0, , ,2.68,3.44,6,6.5,1,1002810053,0,8,985262,199388,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,182.6031177,1688.064777,621450,16,0,6479,6479,6,1350,35.10200119,35.10200119,0,35.10200119,0,210.6120071 +6480,MN,298,6,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,24 ORCHARD STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,24 ORCHARD ST REALTY,2226,4179,4179,0,0,2090,0,2089,0,0,2,1,2,0,1,24.92,89.33,25,89,E,2,N,5,2,128250,359550,0,0,1910,1986,0, , ,1.88,6.02,6,6.5,1,1002980006,0,16,986643,199918,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,233.4221471,2253.044254,231300,13,0,6480,6480,10,2250,37.64699936,40.4422226,2.795223236,38.05465508,0.882794299,380.5465508 +6481,MN,345,12,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,321 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,S3,4,0,P,GHATAN HABIBOLLAH,1166,4700,800,3900,0,800,0,0,0,0,2,1,4,3,4,25.17,46.33,25,47, ,0,N,5,5,119766,193072,0,0,1930,0,0, , ,4.03,6,0,6,1,1003450012,0,2201,988988,201938,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,149.7527616,1256.323064,73306,1,0,6481,6481,6,1350,18.41222191,19.94444466,1.532222748,18.66759237,0.571025703,112.0055542 +6482,MN,553,1,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,378 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K1,5,1, ,378 SIXTH LLC,6750,6400,6400,0,0,6400,0,0,0,0,2,1,1,0,3,81.5,79.67,81,80, ,3,Y,3,2,747000,6745050,0,0,1942,1968,0,Greenwich Village Historic District, ,0.95,3.44,3.4,6.5,1,1005530001,0,63,984340,206314,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,338.9158046,7145.260158,5998050,8,0,6482,6482,32,7200,17.50333405,17.50333405,0,17.50333405,0,560.1066895 +6483,MN,499,28,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,119 MERCER STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,RELIABLE WOOL CORP,2492,11500,4750,6750,2250,2500,0,0,0,0,2,1,5,3,5,24.94,100,25,100,E,3,N,5,2,562500,2318850,0,0,1880,1996,0,SoHo-Cast Iron Historic District, ,4.61,0,5,6.5,1,1004990028,0,49,984438,203099,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.2462046,2541.981521,1756350,0,0,6483,6483,12,2700,22.35555458,22.35555458,0,22.35555458,0,268.266655 +6484,MN,494,5,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,232 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,JOSEPH LAFORTE 2015 R,2465,9377,1867,7510,0,1867,0,0,0,0,2,1,5,17,19,25,98.58,25,84, ,3,N,5,2,121950,1296450,0,0,1901,0,0, , ,3.8,6.02,6,6.5,1,1004940005,0,43,985421,202507,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,255.3946598,2557.153486,1174500,0,0,6484,6484,11,2475,38.86500168,39.52833176,0.663330078,38.92530441,0.19069399,428.1783485 +6485,MN,915,36,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,639 2 AVENUE,R9, , , ,C2-5, ,TA, , , ,N,C4,2,0, ,"CRETE REALTY CO.,",3021,8954,2560,6394,0,2560,0,0,0,0,2,1,4,13,14,39.75,76,38,75,E,3,N,3,2,360000,1114200,0,0,1910,0,0, , ,2.96,7.52,0,10,1,1009150036,0,78,990968,210864,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,242.1501359,3305.212745,754200,10,0,6485,6485,14,3150,18.38999939,18.76333237,0.373332977,18.43118981,0.105886958,258.0366573 +6486,MN,629,28,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,314 WEST 14 STREET,C6-2A, , , , , , , , , ,N,O7,5,0, ,CHELSEA VILLAGE RLTYT,2516,15750,15750,0,15750,0,0,0,0,0,2,1,6,0,10,25,103.25,25,98,E,2,Y,5,0,544500,1947150,0,0,1910,1985,0, , ,6.26,6.02,6,6.5,1,1006290028,0,77,983272,208829,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,253.3294625,2442.219697,1402650,8,0,6486,6486,10,2250,16.45777702,18.91377831,2.456001282,16.70337715,0.736800385,167.0337715 +6487,MN,871,10,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,111 EAST 15 STREET,C6-2A, , , , , , , , , ,N,J9,5,0, ,TRINITY CHRISTIAN CEN,5163,15120,15120,0,5872,0,0,0,0,9248,2,1,4,0,1,50,103.25,50,60, ,3,N,5,1,675000,1899900,630000,1854900,1869,2007,0, ,(FORMER) CENTURY ASSOCATION BUILDIN,2.93,6.02,6,6.5,1,1008710010,0,50,987328,207117,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,319.7245913,5459.055067,1224900,5,0,6487,6487,23,5175,37.98099899,37.98099899,0,37.98099899,0,873.5629768 +6488,MN,874,17,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,67 IRVING PLACE,R8B, , , , , , , , , ,N,O3,5,0, ,PUBLE N V,3929,49125,49125,0,45825,3300,0,0,0,0,2,1,12,0,12,46,85.5,46,80,E,3,N,5,2,1802250,3579300,0,0,1910,1987,0, , ,12.5,4,0,4,1,1008740017,0,50,987831,207695,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,267.1056303,4057.191994,1777050,5,0,6488,6488,18,4050,33.91699982,33.91699982,0,33.91699982,0,610.5059967 +6489,MN,233,33,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,28 HOWARD STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,HARRY SPITZER INC,2175,10999,6587,4412,4412,2175,0,0,0,0,2,1,5,2,5,25,87.17,24,86, ,2,Y,3,2,114300,1479600,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,5.06,0,5,6.5,1,1002330033,0,45,984142,201467,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,236.4547321,2424.402455,1365300,0,0,6489,6489,11,2475,17.2266674,18.24111176,1.014444351,17.46725342,0.256199614,192.1397877 +6490,MN,694,14,104,99,1035,2,3,10011,E003,10,15,5500,1,4,1B,533 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,DIA CENTER FOR THE AR,7406,41847,41847,0,13973,27874,0,0,0,0,2,1,6,0,8,75,98.75,75,97,E,3,N,5,0,434700,5004450,143451,1618204,1913,1984,0, , ,5.65,0,5,6.5,1,1006940014,0,99,982550,211754,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,358.1031976,7787.051513,4569750,2,1,6490,6490,34,7650,6.936999798,6.936999798,0,6.936999798,0,235.8579931 +6491,MN,517,6,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,143 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,141-143-145 OWNERS CO,2467,9398,0,9398,0,0,0,0,0,0,2,1,5,20,20,24.67,100,25,74, ,3,N,5,2,77400,1332900,9311,9311,1900,1986,0,Sullivan-Thompson Historic District, ,3.81,3.44,0,6.5,1,1005170006,0,49,983782,204114,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,256.8387516,2577.548746,1255500,9,0,6491,6491,12,2700,17.9011116,23.21666718,5.315555573,19.42194494,2.180702175,233.0633392 +6492,MN,590,75,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,5 JONES STREET,R6, , , ,C1-5, , , , , ,N,C7,4,0, ,FIVE JONES STREET CO,2500,9610,1290,8320,0,1290,0,0,0,0,2,1,5,12,14,25,100,25,84, ,3,N,5,2,244350,1086300,0,0,1900,1985,0,Greenwich Village Historic District Exte, ,3.84,2.43,0,4.8,1,1005900075,0,67,983679,206111,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,253.7404742,2536.021974,841950,9,0,6492,6492,13,2925,19.74111176,19.74111176,0,19.74111176,0,256.6344528 +6493,MN,375,41,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,65 AVENUE D,R8A, , , ,C1-5, , , , , ,N,S2,4,0, ,"BUYIT, LLC",1614,3040,950,2090,0,760,0,0,0,190,2,1,3,2,3,19.58,82.42,19.58,40, ,3,N,5,2,11024,25389,0,0,1899,2005,0, , ,1.88,6,0,6,1,1003750041,0,2601,990507,202402,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,212.827594,1800.085709,14365,1,1,6493,6493,9,2025,9.704999924,13.6455555,3.940555573,10.24067889,1.2347194,92.16611004 +6494,MN,594,7501,102,37,1017,2,3,10013,L008,1,15,6800,1,2, ,479 GREENWICH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,17210,80336,79136,1200,63461,10417,0,5258,0,0,2,1,6,1,20,130.5,90,0,0, ,0,Y,0,5,681747,6989402,0,0,1909,0,0, , ,4.67,6.02,6,6.5,1,1005947501,1187,37,981757,203384,12a, ,101N063,10208,E-116,1005940015,3/29/2001,1,1,1,17V1.1,7,483.6696367,14113.99745,6307660,0,1,6494,6494,64,14400,7.988888741,8.551111221,0.562222481,7.999989435,0.07108132,511.9993238 +6495,MN,872,68,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,116 EAST 17 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,NEW 1804 WASH CORP,2300,6100,0,6100,0,0,0,0,0,0,2,1,4,22,22,25,92,25,60, ,3,N,5,1,157950,582300,0,0,1930,0,0,East 17th Street/Irving Place Historic D, ,2.65,4,0,4,1,1008720068,0,50,987577,207385,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,239.2687644,2313.909691,424350,5,0,6495,6495,11,2475,35.47555542,35.47555542,0,35.47555542,0,390.2311096 +6496,MN,585,16,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,6 GROVE STREET,R6, , , , , , , , , ,N,B2,1,0, ,RUSSELL E HORTON,1332,1428,0,1428,0,0,0,0,0,0,2,1,2.5,2,2,17.75,74.33,17.75,30, ,2,Y,5,2,25772,132710,5690,5690,1899,0,0,Greenwich Village Historic District, ,1.07,2.43,0,4.8,1,1005850016,0,73,982593,206041,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,194.5645428,1475.126752,106938,9,0,6496,6496,6,1350,19.35111046,21.33444405,1.983333588,19.74222151,0.72431757,118.4533291 +6497,MN,817,80,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,46 WEST 16 STREET,C6-2M, , , , , , , , , ,N,M1,8,0, ,CHURCH ST FRANCIS XAV,13725,16725,16725,0,16725,0,0,0,0,0,2,1,1,0,2,86.5,108.17,87,184, ,3,Y,5,2,3242700,7156350,0,0,1870,0,0, , ,1.22,6.02,6,6.5,1,1008170080,0,54,985558,208165,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,629.2006814,17777.21994,3913650,7,0,6497,6497,80,18000,30.80200005,33.72444534,2.922445297,30.89110839,0.446728752,2471.288671 +6498,MN,879,7502,106,68,4000,2,2,10010,E016,13,14,5300,1,6, ,316 3 AVENUE,C2-8A, , , , , , , , , ,N,RC,5,0, , ,14516,285499,18876,0,0,18876,0,0,0,0,2,1,21,0,306,172.81,84,172.81,84, ,3,N,3,5,2520000,35030250,2353387,25675200,2006,0,0, , ,19.67,10,2,10,1,1008797502,1908,68,988907,208615,8d, ,104 005,10307, ,1008790043,9/19/2008,1, , ,17V1.1,7,529.6504072,15500.47769,32510300,11,0,6498,6498,68,15300,26.06111145,27.21777725,1.156665802,26.07812124,0.139231142,1773.312244 +6499,MN,588,33,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,40 BARROW STREET,R6, , , , , , , , , ,N,B9,1,0, ,"OROZCO, GABRIEL",2208,4491,0,3369,0,0,0,0,0,0,2,1,3,2,2,22.83,96.75,23,60,E,3,N,5,1,65788,269664,0,0,1910,2009,0,Greenwich Village Historic District, ,2.03,2.43,0,4.8,1,1005880033,0,73,983047,206067,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,237.5359903,2104.765823,203876,9,0,6499,6499,9,2025,18.94666672,19.91889,0.972223282,19.21913592,0.357614016,172.9722233 +6500,MN,644,40,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,36 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,1354,2197,2197,0,0,2197,0,0,0,0,2,1,2,0,2,17.42,86.75,17.42,55,E,2,Y,5,0,180000,1516950,0,0,1940,0,0,Gansevoort Market Historic District, ,1.62,0,5,6.5,1,1006440040,0,79,982131,208861,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,211.3379907,1573.286573,1336950,8,0,6500,6500,7,1575,13.47799969,13.47799969,0,13.47799969,0,94.34599781 +6501,MN,925,12,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,317 EAST 19 STREET,R7B,R8B, , , , , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,36436,93967,93967,0,93967,0,0,0,0,0,2,1,5,0,2,200,184,200,184, ,3,N,5,2,4104000,8439750,4104000,8439750,1929,2012,0, , ,2.58,3,0,3,1,1009250012,0,64,989367,207175,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,780.5663809,37686.10201,4335750,5,0,6501,6501,168,37800,15.27999973,21.80111122,6.521111488,16.99703686,2.558415281,2855.502193 +6502,MN,336,5,103,12,1007,1,1,10002,L018,7,14,7600,1,3,2B,15 BIALYSTOKER PLACE,R8, , , , , , , , , ,N,D3,3,0,X,UJC ORENSTEIN PRESERV,18375,98052,0,98052,0,0,0,0,0,0,2,1,11,128,128,107.04,175.47,93,106, ,2,Y,0,1,423000,8244450,423000,8244450,1982,0,0, , ,5.34,6.02,0,6.5,1,1003360005,0,12,988879,200069,12c,Y,101N082,10201, ,1003360001,8/27/2012,1, , ,17V1.1,0,560.7474446,18843.94737,7821450,13,0,6502,6502,82,18450,20.83555603,27.26111031,6.425554276,23.93531418,0.983382047,1962.695763 +6503,MN,588,2,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,58 BARROW STREET,R6, , , , , , , , , ,N,B9,1,0, ,"PAMELA COURT, LLC",960,900,0,900,0,0,0,0,0,0,2,1,3,2,2,48.94,48.42,0,0, ,3,N,0,2,29452,99368,0,0,1910,2010,0,Greenwich Village Historic District, ,0.94,2.43,0,4.8,1,1005880002,0,73,982874,205974,12a, ,103 004,10208, ,1005880001,10/12/2011,1, , ,17V1.1,0,178.2926548,1235.199929,69916,9,0,6503,6503,5,1125,18.94666672,18.94666672,0,18.94666672,0,94.73333359 +6504,MN,553,27,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,175 MAC DOUGAL STREET,C4-5, , , , , ,LC, , , ,N,S5,4,0, , ,2413,7375,2500,4875,0,2500,0,0,0,0,2,1,4,6,7,0,0,25,100, ,3,Y,0,0,124731,596346,0,0,1900,0,0, , ,3.06,3.44,3.4,6.5,1,1005530027,0,63,984678,206249,12c, ,103 018,10207, ,1005530026,10/24/2012,1, , ,17V1.1,0,246.0738523,2402.03487,471615,8,0,6504,6504,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +6505,MN,767,7501,104,81,2000,2,3,10011,L012,10,15,5600,1,4, ,158 8 AVENUE,C1-6A, , , , , , , , , ,N,RM,4,0, ,NATIONWIDE ASSOCIATES,1750,3955,1545,2410,0,1100,0,445,0,0,2,3,5,3,4,17.5,100,0,0, ,0,N,5,5,81199,509192,0,0,1920,1985,0, , ,2.26,4,2,4,1,1007677501,501,81,984110,209594,8d, ,103 033,10304, ,1007670072,1/5/1988,1, , ,17V1.1,7,238.4697549,1790.642676,427993,7,0,6505,6505,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +6506,MN,848,68,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,901 BROADWAY,M1-5M, , , , , , , , , ,N,O5,5,0,P,"KARASS BROADWAY 901,",2598,15245,10823,4422,5823,5000,0,0,0,0,2,1,5,3,7,27.5,94.92,24,103, ,3,Y,3,2,1129500,3779550,0,0,1910,1989,0,Ladies' Mile Historic District,(FORMER) LORD & TAYLOR BUILDING,5.87,0,5,6.5,1,1008480068,0,52,987002,208578,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,262.4076223,2929.55855,2650050,7,0,6506,6506,12,2700,41.39699936,43.12444305,1.727443695,41.71504561,0.574434067,500.5805473 +6507,MN,228,1,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,357 CANAL STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,"CANAL ASSOCIATES, L.P",1112,5560,1584,3976,0,1584,0,0,0,0,2,1,5,4,5,22.67,72.33,23,72, ,2,Y,3,5,376510,571220,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1002280001,0,47,983179,201995,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,186.897795,1317.987172,194710,0,1,6507,6507,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +6508,MN,569,8,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,4 EAST 12 STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,DAVID G BERGER,2581,6250,700,5550,700,0,0,0,0,0,2,1,5,7,8,25,103.25,25,48, ,3,N,5,1,78982,350870,0,0,1900,1988,0, , ,2.42,3.44,6,6.5,1,1005690008,0,61,985897,206767,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,267.1012434,2734.599252,271888,8,0,6508,6508,12,2700,34.37900162,35.56888962,1.189888,34.52018642,0.345324013,414.2422371 +6509,MN,520,37,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,227 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,Y1,8,0,C,FIRE DEPARTMENT,7372,9368,9368,0,0,0,0,0,0,9368,2,1,2,0,0,66.25,150.33,66.17,97.33, ,0,Y,5,5,981000,1994400,981000,1994400,1974,0,0, , ,1.27,3.44,0,6.5,1,1005200037,0,37,983282,204528,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,438.6012625,7257.691447,1013400,9,0,6509,6509,33,7425,16.76099968,21.14888954,4.387889862,17.08725224,1.071976253,563.879324 +6510,MN,447,12,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,312 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,ROZOF ARTHUR,2425,6750,0,6750,0,0,0,0,0,0,2,1,5,22,22,25,97,25,52, ,3,N,5,1,189000,946350,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.78,4,0,4,1,1004470012,0,38,987595,204107,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,249.6199965,2476.730439,757350,1,0,6510,6510,12,2700,28.15800095,32.8722229,4.714221954,29.67437108,2.015757915,356.092453 +6511,MN,392,36,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,149 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,HOME AT LAST CORP,1909,8214,400,7814,0,400,0,0,0,0,2,1,6,9,10,23,83,23,69, ,3,N,5,2,39110,334522,7080,7080,1900,1982,0, , ,4.3,4,0,4,1,1003920036,0,28,990326,203633,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,217.3197802,1985.981488,295412,12,1,6511,6511,9,2025,7.576999664,7.576999664,0,7.576999664,0,68.19299698 +6512,MN,819,10,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,47 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,ROBERT M. HAUSMAN REV,14479,179186,179186,0,165186,14000,0,0,0,0,2,1,12,0,15,78.75,184,78.75,184, ,0,N,5,2,1620000,17616150,0,0,1906,0,0,Ladies' Mile Historic District, ,12.38,10,10,10,1,1008190010,0,54,985806,208589,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,550.9415411,15464.49144,15996200,7,0,6512,6512,69,15525,32.36888886,35.09000015,2.721111298,32.4143188,0.328215792,2236.587997 +6513,MN,488,40,102,47,1002,2,1,10013,L008,1,15,6800,1,2,1A,514 BROOME STREET,M1-5B, , , , , , , , , ,N,B1,1,0, ,"HARRIS, SETH",982,2052,0,2052,0,0,0,0,0,0,2,1,3,2,2,19.83,49.5,19.83,36, ,2,N,5,2,25246,95350,0,0,1930,0,0, , ,2.09,0,5,6.5,1,1004880040,0,47,983331,202931,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,139.5233934,1040.839258,70104,0,1,6513,6513,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +6514,MN,444,29,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,80 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"80 EAST 3, LLC",2514,9955,0,9955,0,0,0,0,0,0,2,1,5,20,20,25,100.58,25,88, ,3,N,5,2,193950,1100250,0,0,1910,1984,0, , ,3.96,4,0,4,1,1004440029,0,3602,987446,203320,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,260.4216603,2638.634152,906300,1,0,6514,6514,10,2250,30.95777702,32.5688858,1.61110878,31.1188879,0.483332634,311.188879 +6515,MN,556,52,103,42,1002,1,2,10003,L003,9,14,6200,1,3,4B,126 EAST 12 STREET,C6-2A, , , , , , , , , ,N,C6,2,0, ,126 E 12 ST OWNERS CO,4792,23316,1980,21336,0,0,0,1980,0,0,2,1,6,24,25,45,106.5,45,88, ,1,N,5,2,274500,3064950,26370,26370,1900,0,0, , ,4.87,6.02,6,6.5,1,1005560052,0,42,987303,205984,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,308.6716396,4876.253806,2790450,12,0,6515,6515,22,4950,37.67444229,40.50333405,2.828891754,37.89838201,0.716685568,833.7644043 +6516,MN,820,36,105,54,1003,2,3,10011,E014,13,15,5700,1,5,1O,3 WEST 18 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,3-5 WEST 18TH LLC,4511,34360,34360,0,30160,4200,0,0,0,0,2,1,8,0,8,49.33,92,49,92, ,3,N,5,2,1980000,4427100,0,0,1900,1989,0,Ladies' Mile Historic District, ,7.62,10,10,10,1,1008200036,0,54,986373,208498,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,298.2167058,5000.36141,2447100,7,0,6516,6516,23,5175,35.79800034,39.67533493,3.877334595,35.97596177,0.789933063,827.4471207 +6517,MN,871,12,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,115 EAST 15 STREET,C6-2A, , , , , , , , , ,N,W4,8,0, ,"LSASAD, LLC",5163,15409,15409,0,0,0,0,15409,0,0,2,1,4,0,1,50,103.25,50,98, ,3,N,5,2,492750,1353150,0,0,1930,1988,0, , ,2.98,6.02,6,6.5,1,1008710012,0,50,987372,207093,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,321.0274729,5535.374058,860400,5,0,6517,6517,26,5850,37.98099899,38.68744278,0.706443787,38.00816991,0.135854574,988.2124176 +6518,MN,882,56,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,142 EAST 27 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,27 D REALTY LLC,5925,30777,0,30777,0,0,0,0,0,0,2,1,7,42,42,60,98.75,60,88, ,3,N,5,2,549000,2484000,0,0,1930,0,0, , ,5.19,4,0,4,1,1008820056,0,68,989128,209448,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,320.6115431,6000.004551,1935000,11,0,6518,6518,26,5850,31.85222244,31.85222244,0,31.85222244,0,828.1577835 +6519,MN,116,46,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,35 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,M VANELLA,2000,6924,3000,3924,1500,1500,0,0,0,0,2,1,5,10,12,25,79.67,20,80, ,2,Y,5,0,247500,453600,0,0,1910,0,0, , ,3.46,3.44,0,6.5,1,1001160046,0,27,984543,198701,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,213.1448528,2015.112,206100,16,0,6519,6519,8,1800,14.38099957,14.99822235,0.617222786,14.45815241,0.204127249,115.6652193 +6520,MN,300,10,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,54 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,919,3204,18552,2500,16052,0,2500,0,0,0,0,2,1,7,24,26,41.67,87.25,42,77, ,3,Y,5,0,235350,1550250,0,0,1900,1989,0, , ,5.79,3.44,6,6.5,1,1003000010,0,16,986257,200183,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,264.4553388,3318.690201,1314900,13,0,6520,6520,15,3375,39.09000015,39.09000015,0,39.09000015,0,586.3500023 +6521,MN,543,15,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,122 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,G1,10,0, ,MINETTA LANE OWNERS,12450,48600,48600,0,0,0,48600,0,0,0,2,1,4,0,1,99.5,150,99.5,100, ,3,Y,4,2,864000,5458050,0,0,1910,0,0,South Village Historic District, ,3.9,3.44,0,6.5,1,1005430015,0,65,984040,205397,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,504.7283971,12657.68961,4594050,9,0,6521,6521,57,12825,19.06100082,21.77555656,2.71455574,19.16176495,0.495293992,1092.220602 +6522,MN,464,39,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,135 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,P8,8,0,X,OTTENDORFER LIBRARY,2400,5066,5066,0,0,0,0,0,0,5066,2,2,0,0,1,20,120,0,0, ,0,N,5,5,254700,481950,254700,481950,1884,0,0, , ,2.11,4,0,4,1,1004640039,0,38,987614,204853,12c, ,102 018,10205, ,1004640037,8/21/2006,1, , ,17V1.1,0,285.2367917,2463.196943,227250,12,0,6522,6522,11,2475,32.10889053,32.10889053,0,32.10889053,0,353.1977959 +6523,MN,174,4,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,83 LEONARD STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,DELLIS REALTY CORP,3000,11502,4081,7421,0,0,0,4081,0,0,2,1,5,3,5,25,124.25,25,118,E,3,Y,5,5,78772,497651,0,0,1910,1988,2006,Tribeca East Historic District, ,3.83,6.02,6,6.5,1,1001740004,0,33,982927,200677,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,297.3436586,2820.277473,418879,14,0,6523,6523,13,2925,21.5755558,21.5755558,0,21.5755558,0,280.4822254 +6524,MN,765,1,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,102 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,102-116 EIGHTH AVE AS,19307,102046,19000,83046,0,19000,0,0,0,0,2,8,5,102,120,206.5,93.5,25,94, ,0,N,3,2,1521000,10444500,0,0,1905,1987,0, , ,5.29,4,2,4,1,1007650001,0,81,983838,209109,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,608.2954041,19709.23222,8923500,7,0,6524,6524,88,19800,22.05333328,23.14444542,1.091112137,22.11034339,0.203381587,1945.710218 +6525,MN,514,41,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,123 PRINCE STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,PRINCE STUDIO CORP,2375,15000,1025,13975,0,1025,0,0,0,0,2,1,6,6,7,25,95,25,94, ,3,N,5,2,415205,1015057,4720,4720,1912,2005,2013,SoHo-Cast Iron Historic District, ,6.32,0,5,6.5,1,1005140041,0,49,984313,203578,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,247.556274,2556.6668,599852,9,0,6525,6525,10,2250,22.59666634,22.59666634,0,22.59666634,0,225.9666634 +6526,MN,485,33,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,69 MERCER STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,"MER69OWN,",2600,14091,14091,0,9091,5000,0,0,0,0,2,1,5,0,8,26,100,26,85, ,0,N,5,5,585000,3815550,0,0,1900,2000,0,SoHo-Cast Iron Historic District, ,5.42,0,5,6.5,1,1004850033,0,49,984085,202551,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,257.3683427,2610.441195,3230550,0,0,6526,6526,11,2475,17.71444511,17.71444511,0,17.71444511,0,194.8588963 +6527,MN,349,24,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,55 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,55 CLINTON ST LLC,2500,8311,800,7511,0,800,0,0,0,0,2,1,5,16,18,25,100,25,64, ,3,N,5,2,41850,301950,0,0,1920,0,0, , ,3.32,4,0,4,1,1003490024,0,3001,988397,201482,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,253.8867167,2540.568382,260100,1,0,6527,6527,11,2475,24.4422226,28.29000092,3.84777832,25.41676799,1.594650095,279.5844479 +6528,MN,462,17,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,36 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,GARFUNKEL & TAUSTER C,2218,10536,0,10536,0,0,0,0,0,0,2,1,6,16,16,24.42,90.83,24,78, ,3,N,5,2,180000,751950,0,0,1900,1984,0, , ,4.75,4,0,4,1,1004620017,0,38,987283,204559,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,237.8058591,2350.090849,571950,12,0,6528,6528,11,2475,35.00777817,35.74666595,0.738887787,35.09184889,0.2137891,386.0103378 +6529,MN,417,65,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,179 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,179 ORCHARD ST CORP,2192,8760,1050,7710,0,1050,0,0,0,0,2,1,5,17,19,25,87.67,25,77, ,2,N,5,2,549000,1561950,0,0,1900,1987,1998, , ,4,4,4,4,1,1004170065,0,3001,987417,202277,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.5647737,2284.749943,1012950,1,0,6529,6529,11,2475,33.19499969,36.01499939,2.819999695,33.6145453,0.916427189,369.7599983 +6530,MN,516,24,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,482 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C7,4,0,P,BLDG 03 LLC,1799,9000,1800,7200,0,1800,0,0,0,0,2,1,5,8,9,24.42,75,24,75,E,3,N,3,2,473279,806201,0,0,1900,1986,2008,SoHo-Cast Iron Historic District Extensi, ,5,0,5,6.5,1,1005160024,0,49,984171,204098,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,199.5398007,1845.122164,332922,9,0,6530,6530,9,2025,17.67111206,25.12555504,7.454442978,20.63923518,2.989285042,185.7531166 +6531,MN,444,21,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,64 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,62 64 E 3RD ST HDFC,1890,3488,0,3488,0,0,0,0,0,0,2,1,3,4,4,18.75,101.25,18.75,62, ,0,N,5,5,20543,70670,20543,31534,1900,0,0,East Village/Lower East Side Historic Di, ,1.85,4,0,4,1,1004440021,0,3602,987284,203410,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,249.388403,2059.977384,50127,1,0,6531,6531,10,2250,33.39555359,35.16444397,1.768890381,33.75477638,0.592836151,337.5477638 +6532,MN,229,5,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,349 CANAL STREET,M1-5B, , , , , , , , , ,N,G1,10,0,P,WOOSTER PARKING CORP,9724,38308,38308,0,0,2270,36038,0,0,0,2,1,4,0,3,25.5,164,26,164, ,3,Y,5,0,1215000,4254750,0,0,1928,0,0,SoHo-Cast Iron Historic District, ,3.94,0,5,6.5,1,1002290005,0,47,983307,201989,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,543.9452915,10028.31587,3039750,0,1,6532,6532,45,10125,9.686666489,9.941110611,0.254444122,9.695604748,0.042943078,436.3022137 +6533,MN,612,7503,102,73,6001,2,3,10014,Q018,6,15,6400,2,2, ,259 WEST 4 STREET,R6, , , , , , , , , ,N,RM,4,0, , ,3667,14687,4688,9999,0,4688,0,0,0,0,2,1,6,25,32,73,50,0,0, ,0,N,5,5,427501,4131450,9440,9440,1905,0,0,Greenwich Village Historic District, ,4.01,2.43,0,4.8,1,1006127503,698,73,983381,207203,12a, ,103 015,10209, ,1006120005,12/12/1990,1, , ,17V1.1,7,258.93526,4074.687597,3703950,8,0,6533,6533,17,3825,24.50222206,28.55255699,4.05033493,24.75575817,0.951158076,420.8478889 +6534,MN,872,66,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,120 EAST 17 STREET,R8A, , , , , , , , , ,N,C3,2,0, ,NEW 1804 WASH CORP,1236,2380,0,2380,0,0,0,0,0,0,2,1,3,4,4,20,69,20,53, ,3,Y,5,5,123922,214633,0,0,1870,0,0,East 17th Street/Irving Place Historic D, ,1.93,6,0,6,1,1008720066,0,50,987620,207377,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,189.655201,1362.410875,90711,5,0,6534,6534,6,1350,35.47555542,36.48888779,1.013332367,35.64444415,0.377646676,213.8666649 +6535,MN,199,11,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,218 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,216-220 CANAL CORP,2150,10750,3158,7592,1008,2150,0,0,0,0,2,2,5,13,17,49.58,42.08,49.58,42, ,3,Y,4,2,87300,207000,0,0,1915,1988,0, , ,5,3.44,6,6.5,1,1001990011,0,29,984426,200559,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,198.580188,2457.465932,119700,14,0,6535,6535,11,2475,22.37599945,23.66555595,1.289556503,22.66997944,0.49769924,249.3697739 +6536,MN,310,26,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,39 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"WEI YAN RELATY, INC.",2188,10872,1962,8910,0,1962,0,0,0,0,2,1,6,20,22,25,87.5,25,71, ,3,N,5,2,148500,572850,0,0,1900,0,0, , ,4.97,6.02,6,6.5,1,1003100026,0,16,987101,200222,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.9388325,2294.725497,424350,13,0,6536,6536,11,2475,34.98799896,37.10333252,2.115333557,35.28361546,0.660913256,388.1197701 +6537,MN,719,59,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,428 WEST 22 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"MEINHARDT, CAROLYNNR.",1821,3230,0,2375,0,0,0,0,0,0,2,1,2,2,2,19.58,93,19.58,40, ,3,N,5,1,35105,110211,1550,1550,1910,0,0,Chelsea Historic District, ,1.77,3,0,3,1,1007190059,0,89,983449,211080,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,227.1382284,1820.311557,75106,7,1,6537,6537,8,1800,10.39400005,15.42888927,5.034889221,11.93416679,2.124351222,95.47333431 +6538,MN,848,15,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,895 BROADWAY,M1-5M, , , , , , , , , ,N,O5,5,0, ,895 BROADWAY OWNER LL,11725,57050,57050,0,49930,7120,0,0,0,0,2,1,5,0,5,82.58,152.92,83,150, ,0,Y,5,2,2682000,13334850,0,0,1915,1984,0,Ladies' Mile Historic District, ,4.87,0,5,6.5,1,1008480015,0,52,986970,208537,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,507.8330169,12130.88499,10652900,7,0,6538,6538,55,12375,41.39699936,43.0253334,1.628334045,41.48181353,0.321117161,2281.499744 +6539,MN,640,67,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,26 BETHUNE STREET,R6, , , , , , , , , ,N,C2,2,0, ,"TONACHEL, ANNE ELIZA",1306,2181,0,2181,0,0,0,0,0,0,2,1,4,5,5,16.25,80.42,16.25,40,E,0,N,5,5,105656,176706,2360,2360,1905,0,0,Greenwich Village Historic District, ,1.67,2.43,0,4.8,1,1006400067,0,79,982254,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,196.5538201,1336.178296,71050,8,0,6539,6539,5,1125,11.96800041,13.13999939,1.171998978,12.37680016,0.509583948,61.88400078 +6540,MN,416,62,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,157 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"ORCHARD REALTY,",2194,9357,1700,7657,0,1700,0,0,0,0,2,1,6,18,23,25.08,87.5,25,87,E,3,N,4,2,270000,1510200,0,0,1900,1986,0, , ,4.26,4,4,4,1,1004160062,0,3001,987284,201937,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,236.708092,2442.410303,1240200,13,0,6540,6540,12,2700,34.84777832,37.01777649,2.169998169,35.0286115,0.59975581,420.343338 +6541,MN,376,25,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,266 EAST 7 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,CHRISTENSEN ANNE L,2059,3764,0,3764,0,0,0,0,0,0,2,1,3,4,4,22.67,90.83,23,54, ,3,N,5,5,10261,64103,0,0,1900,0,0, , ,1.83,4,0,4,1,1003760025,0,2602,990489,202783,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,232.0277452,2139.317045,53842,12,1,6541,6541,10,2250,7.864444256,11.5666666,3.702222347,8.556222057,1.387828638,85.56222057 +6542,MN,498,11,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,549 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,SCHOLASTIC 557 BROADW,19841,243442,243442,0,223866,19576,0,0,0,0,2,1,12,0,6,99.08,200.25,99,200, ,3,Y,4,2,4500000,40034250,0,0,1900,1993,2016,SoHo-Cast Iron Historic District, ,12.27,0,5,6.5,1,1004980011,0,49,984625,203021,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,612.6878938,20483.6925,35534200,0,0,6542,6542,90,20250,29.75499916,30.02722168,0.272222519,29.75802386,0.028534912,2678.222147 +6543,MN,187,2,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,178 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,180 FRANKLIN LOFTS LT,2964,16568,1380,15188,0,1380,0,0,0,0,2,1,6,5,6,33.25,87.83,33,88,E,3,N,5,2,318959,1065519,0,0,1915,1979,0,Tribeca West Historic District, ,5.59,6.02,6,6.5,1,1001870002,0,39,981664,201434,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,245.2779879,3051.461777,746560,14,0,6543,6543,14,3150,17.89999962,17.89999962,0,17.89999962,0,250.5999947 +6544,MN,740,52,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,338 WEST 17 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,338 W 17 ST. HOLDINGS,2300,8525,0,8525,0,0,0,0,0,0,2,1,5,17,17,25,92,25,78, ,3,N,5,2,108450,1282950,0,0,1900,1987,2001, , ,3.71,4,0,4,1,1007400052,0,83,983452,209669,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,241.1946453,2325.080434,1174500,7,0,6544,6544,10,2250,15.59444427,18.15999985,2.565555573,15.85099983,0.769666672,158.5099983 +6545,MN,461,22,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,228 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,228 EAST 6TH STREET L,2425,10510,1000,9510,1000,0,0,0,0,0,2,1,5,20,22,25,97,25,85, ,3,N,5,1,219150,744750,0,0,1925,0,0,East Village/Lower East Side Historic Di, ,4.33,4,0,4,1,1004610022,0,38,987154,204352,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.7454084,2551.668601,525600,1,0,6545,6545,11,2475,36.55199814,38.42666626,1.874668121,36.83472547,0.6150495,405.1819801 +6546,MN,612,33,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,29 CHARLES STREET,C2-6,R6, , , , , , , , ,Y,D3,3,0, ,29-31 CHARLES STREET,6175,27108,0,27108,0,0,0,0,0,0,2,1,6,37,37,65,95,65,79, ,2,N,5,2,468000,2438550,0,0,1914,0,0,Greenwich Village Historic District, ,4.39,3.44,2,6.5,1,1006120033,0,73,983562,207126,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,328.0860802,6435.954906,1970550,8,0,6546,6546,29,6525,24.50222206,24.50222206,0,24.50222206,0,710.5644398 +6547,MN,766,34,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,211 WEST 16 STREET,R8B, , , , , , , , , ,N,S5,4,0, ,211 WEST 16TH STREET,1300,4420,1300,3120,0,1300,0,0,0,0,2,1,4,6,7,20,65,20,65,E,3,N,5,2,29782,271070,0,0,1930,0,0, , ,3.4,4,0,4,1,1007660034,0,81,984481,208974,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,181.2267372,1480.899184,241288,7,0,6547,6547,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +6548,MN,16,210,101,317.03,1000,2,1,10282,L010,1,15,8900,1,1,1A,399 CHAMBERS STREET,BPC, , , , , ,BPC, , , ,N,D8,3,0,O,TRIBECA POINTE LLC,10292,357000,1000,356000,0,1000,0,0,0,0,2,1,42,340,342,100,121.9,100,121, ,2,Y,4,2,2304000,40797000,2304000,40797000,1998,0,0, , ,34.69,0,0,0,1,1000160210,0,31703,980183,200959,12a, ,101S094,10101, ,1000160210,5/22/1995,1,1,1,17V1.1,0,423.5328029,10833.2565,38493000,14,1,6548,6548,49,11025,10.13222218,18.46111107,8.328888893,11.28928344,2.245936486,553.1748886 +6549,MN,797,1,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,169 WEST 21 STREET,R8A, , , ,C2-5, , , , , ,N,K4,4,0, ,7TH AVE 21ST ST REALT,1850,5555,3086,2469,0,1850,0,1236,0,0,2,1,4,1,3,24.67,75,24.67,75,E,3,N,3,2,285750,868950,0,0,1920,2013,0, , ,3,6,0,6,1,1007970001,0,87,985291,209897,8d, ,103 030,10305, ,1007970001,3/15/2000,1, , ,17V1.1,0,208.5410709,2083.770717,583200,7,0,6549,6549,9,2025,28.16444397,28.16444397,0,28.16444397,0,253.4799957 +6550,MN,584,39,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,33 MORTON STREET,R6, , , , , , , , , ,N,C5,2,0, ,33-35 MORTON REALTY L,2350,6720,0,6720,0,0,0,0,0,0,2,1,3,13,13,23.5,100,24,94, ,3,N,5,2,138150,899100,0,0,1910,1985,0,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1005840039,0,67,982836,205622,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,251.1416897,2398.425835,760950,9,0,6550,6550,11,2475,16.16111183,16.55966759,0.398555756,16.19734417,0.114576724,178.1707859 +6551,MN,620,46,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,359 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,359 BLEEKER STREET LL,1190,1871,617,1254,0,617,0,0,0,0,2,1,3,1,2,17,70,17,34, ,3,N,5,5,28941,88128,0,0,1901,0,0,Greenwich Village Historic District, ,1.57,3.44,2,6.5,1,1006200046,0,73,983009,206859,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,185.1782474,1284.976939,59187,9,0,6551,6551,5,1125,24.70777702,24.70777702,0,24.70777702,0,123.5388851 +6552,MN,481,1,102,41,6002,2,1,10013,E055,5,15,6800,1,2,1A,400 CLEVELAND PLACE,C6-1,C6-2G, , , , ,LI, , , ,Y,H8,8,1,P,CORAL BROOME STREET L,16438,173838,40476,0,12000,21476,7000,0,0,0,2,1,11,117,123,162.42,101.17,162,100, ,3,Y,3,2,1017000,13736700,0,0,1913,1996,1997, , ,10.58,3.44,6,6.5,1,1004810001,0,41,985004,201973,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,551.0444789,17508.88755,12719700,0,0,6552,6552,78,17550,31.92555428,34.83111191,2.905557632,32.13959004,0.648791138,2506.888023 +6553,MN,387,48,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,277 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0,O,NYCHA TRIBOROUGH PRES,2382,15089,0,15089,0,0,0,0,0,0,2,1,6,13,13,24.75,96.17,25,81, ,3,N,5,1,225000,1350450,225000,1350450,1920,1988,0, , ,6.33,4,0,4,1,1003870048,0,2601,989508,202645,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,242.0307051,2393.257498,1125450,1,1,6553,6553,10,2250,12.50555515,14.30333328,1.79777813,12.68533297,0.539333439,126.8533297 +6554,MN,413,6,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,116 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,116 ASSETS LLC,2204,7161,1432,5729,0,1432,0,0,0,0,2,1,5,8,10,25,88.17,25,55, ,3,N,5,1,132712,344975,0,0,1909,1985,0, , ,3.25,4,4,4,1,1004130006,0,18,986554,200934,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,234.1889645,2390.077477,212263,13,0,6554,6554,11,2475,39.72000122,39.85777664,0.137775421,39.73252626,0.039607649,437.0577888 +6555,MN,468,7502,103,40,1001,1,2,10003,L003,9,14,6200,4,3, ,219 EAST 12 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,219 EAST 12 ST CONDO,2581,8366,0,8366,0,0,0,0,0,0,2,1,5,6,6,0.05,0,0,0, ,0,N,5,5,227640,1149864,2360,2360,1900,1988,0, , ,3.24,4,0,4,1,1004687502,613,40,987867,205857,12c, ,102 026,10205, ,1004680052,3/10/1989,1, , ,17V1.1,7,262.2601278,2647.711672,922224,12,0,6555,6555,11,2475,29.43199921,31.59444427,2.162445068,30.03911053,0.903829,330.4302158 +6556,MN,141,27,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,174 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,174 DUANE LLC,2889,12268,2642,9626,0,2642,0,0,0,0,2,1,5,3,4,25.08,114.75,25,103, ,3,Y,5,2,867150,1410300,0,0,1910,1986,2014,Tribeca West Historic District, ,4.25,6.02,6,6.5,1,1001410027,0,39,981533,200483,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,283.7863179,2921.767248,543150,14,0,6556,6556,12,2700,16.8029995,17.34222221,0.539222717,16.84793472,0.149033286,202.1752167 +6557,MN,375,7501,103,26.01,1000,1,2,10009,E028,9,14,6700,3,3, ,754 EAST 6 STREET,R8A, , , ,C1-5, , , , , ,N,RM,4,0, , ,6764,27778,6809,20969,0,5873,0,0,0,936,2,1,6,24,26,76,89,74,89, ,0,N,0,5,342001,3390306,32995,238613,2001,0,0, , ,4.11,6,0,6,1,1003757501,1213,2601,990547,202482,12c, ,102 014,10202, ,1003750036,12/21/2001,1, , ,17V1.1,7,336.9659318,7036.137852,3048310,1,1,6557,6557,31,6975,9.704999924,12.60000038,2.895000458,10.06812182,0.853764198,312.1117764 +6558,MN,906,42,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,220 EAST 26 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,220 EAST 26TH STREET,12393,48300,6000,42300,0,0,6000,0,0,0,2,1,7,89,90,125.5,98.75,126,90, ,3,N,5,2,976500,5456250,0,0,1963,1987,0, , ,3.9,4,0,4,1,1009060042,0,66,989570,208910,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,455.1023394,12818.81962,4479750,11,0,6558,6558,56,12600,30.96199989,38.23333359,7.271333694,31.77145226,2.005066774,1779.201326 +6559,MN,675,12,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,613 WEST 29 STREET,M2-3, , , , , , , , , ,N,G9,7,0,P,WEST SIDE 11TH & 29TH,41968,58154,58154,0,9100,12360,21000,10740,0,0,2,4,2,0,6,425,98.75,44,88, ,0,N,5,2,2826450,5499000,0,0,1994,0,0, , ,1.39,0,2,0,1,1006750012,0,99,982785,213727,8b, ,105S013,10301, ,1006750012,12/2/2013,1,1,1,17V1.1,0,1053.788308,43304.74473,2672550,6,1,6559,6559,193,43425,6.760000229,10.87300015,4.112999916,9.451270662,1.381902169,1824.095238 +6560,MN,915,1,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,507 3 AVENUE,C1-9, , , , , , , , , ,N,O5,5,0, ,"507 THIRD OWNER, LLC",2475,11879,11879,0,9899,1980,0,0,0,0,2,1,5,0,8,24.75,100,24.75,100, ,3,N,3,2,900000,1804050,0,0,1920,1962,2012, , ,4.8,10,2,10,1,1009150001,0,78,990427,210971,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,261.6022415,2810.293645,904050,10,0,6560,6560,13,2925,27.39299965,29.17000008,1.777000427,27.52969199,0.473516158,357.8859959 +6561,MN,438,6,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,174 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,174 FIRST AVENUE ASSO,3384,9384,3500,5884,0,3500,0,0,0,0,2,2,5,5,9,35.5,94,35.5,78, ,3,N,5,2,153594,757305,0,0,1900,0,0, , ,2.77,4,0,4,1,1004380006,0,34,988722,204886,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,267.740062,3535.883983,603711,12,0,6561,6561,15,3375,17.98900032,21.61999893,3.630998611,18.23106689,0.905730185,273.4660034 +6562,MN,829,40,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,244 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,244 FIFTH AVENUE CORP,3133,31500,31500,0,27500,4000,0,0,0,0,2,1,11,0,15,31.33,100,31,98,E,3,N,5,2,774000,2571300,0,0,1915,0,0,Madison Square North Historic District, ,10.05,10,10,10,1,1008290040,0,58,987646,210567,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,273.9540299,3427.090259,1797300,11,0,6562,6562,15,3375,40.15333176,40.15333176,0,40.15333176,0,602.2999763 +6563,MN,900,55,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,204 EAST 20 STREET,C1-9A, , , , , , , , , ,N,B1,1,0, ,"MC WETBY, JAMES A",1619,2520,0,2520,0,0,0,0,0,0,2,1,3,2,2,19.83,78,20,42, ,3,Y,5,2,53560,140832,0,0,1910,0,0, , ,1.56,10,2,10,1,1009000055,0,64,988624,207648,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,204.4980415,1776.961726,87272,5,0,6563,6563,8,1800,23.24022102,23.97333336,0.733112335,23.33186007,0.242454115,186.6548805 +6564,MN,801,28,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,117 WEST 25 STREET,M1-6, , , , , , , , , ,N,K2,5,0, ,JJHA MORAK AND ASSOCI,2469,4500,4500,0,0,4500,0,0,0,0,2,1,2,0,2,25,98.75,25,90,E,3,N,5,0,144000,412650,0,0,1906,1989,0, , ,1.82,0,10,10,1,1008010028,0,91,986310,210599,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,257.2129644,2576.220236,268650,2,0,6564,6564,11,2475,32.50999832,32.50999832,0,32.50999832,0,357.6099815 +6565,MN,391,6,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,137 AVENUE B,R7A, , , , , , , , , ,N,B1,1,0,P,PAUL ENGLER,1500,2820,0,2820,0,0,0,0,0,0,2,1,4,2,2,20,75,20,46, ,2,N,5,0,16122,53118,0,0,1910,2005,0, , ,1.88,4,0,4,1,1003910006,0,2602,989715,203770,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,196.0242518,1570.270777,36996,12,1,6565,6565,7,1575,8.318888664,13.28111076,4.962222099,11.28836496,1.651435986,79.01855469 +6566,MN,688,7501,104,99,1023,2,3,10011,E003,10,15,5500,1,4, ,109 10 AVENUE,M1-5, , , , , , , , , ,N,RB,5,0,P,OWNER / AGENT,59100,708000,708000,0,519000,0,0,0,0,189000,2,1,10.5,0,1,1.35,0,0,0, ,0,N,5,5,12279600,55206450,0,0,1917,0,0, , ,11.98,0,5,6.5,1,1006887501,112,99,982118,210356,8b, ,103 043,10301, ,0, ,1,1,1,17V1.1,7,1050.458459,62457.63243,42926800,7,1,6566,6566,279,62775,7.773777962,9.282221794,1.508443832,8.065526819,0.117825672,2250.281982 +6567,MN,375,39,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,67 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,COALITION PLAZA LP,3511,14730,1400,13330,0,1400,0,0,0,0,2,1,6,16,18,40.1,93,40,81, ,3,Y,5,2,225000,1829250,209250,1701203,1910,1991,0, , ,4.2,6,0,6,1,1003750039,0,2601,990520,202431,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,273.8921711,3715.318712,1604250,1,1,6567,6567,16,3600,9.704999924,12.65555573,2.950555801,10.01699996,0.840973096,160.2719994 +6568,MN,836,9,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,41 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,O5,5,0, ,41 WEST 34TH STREET L,2370,12900,12900,0,10900,2000,0,0,0,0,2,1,6,0,7,24,98.75,24,98,E,3,N,5,2,751500,5097600,0,0,1930,1982,0, , ,5.44,10,15,15,1,1008360009,0,76,987909,212401,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,265.0926661,2642.950141,4346100,10,0,6568,6568,12,2700,48.77222443,49.62900162,0.856777191,49.55760352,0.236800706,594.6912422 +6569,MN,800,76,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,168 WEST 25 STREET,C6-3X, , , , , , , , , ,N,S3,4,0, ,W J YOUNG CORP,1297,5226,1200,4026,0,1200,0,0,0,0,2,1,4,3,4,19.17,67.67,19,60, ,3,N,5,5,99076,308146,0,0,1913,0,0, , ,4.03,9,6,9,1,1008000076,0,91,985788,210727,8d, ,105S011,10305,E-54,1008000077,12/12/1984,1, , ,17V1.1,0,182.8745918,1420.507231,209070,2,0,6569,6569,6,1350,34.22700119,34.22700119,0,34.22700119,0,205.3620071 +6570,MN,790,67,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,156 WEST 15 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,156 WEST 15TH STREET,2065,5520,1000,4520,0,1000,0,0,0,0,2,1,5,10,11,20,103.25,20,58,E,3,N,5,2,106200,1144350,0,0,1910,1985,0, , ,2.67,4,0,4,1,1007900067,0,81,984599,208444,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,249.2404429,2005.054264,1038150,7,0,6570,6570,8,1800,27.73777771,28.77777863,1.040000916,27.86777782,0.343947973,222.9422226 +6571,MN,348,10,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,116 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,116 SUFFOLK STREET OW,2500,9000,1800,7200,0,1800,0,0,0,0,2,1,5,8,10,25,100,25,96,E,3,N,5,2,16249,149494,0,0,1910,0,2009, , ,3.6,4,0,4,1,1003480010,0,1402,988172,201195,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,253.2171236,2592.797882,133245,13,0,6571,6571,12,2700,24.76333427,28.30555534,3.542221069,25.87435246,1.575678797,310.4922295 +6572,MN,590,77,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,9 JONES STREET,R6, , , ,C1-5, , , , , ,N,D0,3,0, ,JONES ST OWNERS CORP,2500,15778,1200,14578,0,1200,0,0,0,0,2,1,7,6,7,25,100,25,85, ,3,Y,5,2,285138,1108424,2360,2360,1926,1983,0,Greenwich Village Historic District Exte, ,6.31,2.43,0,4.8,1,1005900077,0,67,983634,206089,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,253.6099152,2529.945148,823286,9,0,6572,6572,9,2025,19.74111176,19.74111176,0,19.74111176,0,177.6700058 +6573,MN,424,7,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,163 BOWERY,C6-1G, , , , , , , , , ,N,L8,6,0,P,"HU, LI CHUN",2368,9920,4520,5400,1800,2368,0,352,0,0,2,1,5,3,5,23.58,100.58,24,80, ,3,Y,5,2,239850,1441350,0,0,1900,0,0, , ,4.19,3.44,6,6.5,1,1004240007,0,18,985938,201479,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,252.5807474,2390.045413,1201500,0,0,6573,6573,12,2700,35.63777924,38.11333466,2.47555542,36.02639039,0.870944205,432.3166847 +6574,MN,443,55,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,44 EAST 1 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,44 EAST 1ST LLC,1920,7020,1125,5895,0,1125,0,0,0,0,2,1,5,8,10,25.92,72.25,25,52, ,3,Y,5,2,27017,100900,0,0,1910,0,0, , ,3.66,4,0,4,1,1004430055,0,3602,987083,203063,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,199.4975254,1869.176667,73883,1,0,6574,6574,10,2250,31.53899956,38.60800171,7.069002151,37.78639011,2.095327157,377.8639011 +6575,MN,874,53,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,134 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,LW CURLY COLORADO LLC,1428,4283,0,3363,0,0,0,0,0,0,2,1,4,3,3,23,92,23,40,E,3,Y,5,1,139124,246967,0,0,1920,0,0,Gramercy Park Historic District, ,3,4,0,4,1,1008740053,0,50,988165,207618,12c, ,102 046,10307, ,0, ,1, , 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,17V1.1,0,242.5009623,2048.833063,131792,0,0,6577,6577,10,2250,16.83888817,21.05333328,4.214445114,19.09766636,1.663386673,190.9766636 +6578,MN,54,1,101,13,1002,2,1,10006,E010,1,15,7700,1,1, ,130 LIBERTY STREET,C6-9, , , , , ,LM, , , ,N,M1,8,0, ,LOWER MANHATTAN DEVE,66222,4100,4100,0,0,0,0,0,0,4100,2,1,3,0,1,213.12,326.87,50,50, ,1,Y,1,0,25119450,25839450,25119450,25119450,2011,2011,0, , ,0.06,10,15,15,1,1000540001,0,13,980563,197886,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,1078.090518,67652.93059,720000,15,1,6578,6578,301,67725,7.869999886,12.83888912,4.968889236,8.244401905,0.922361207,2481.564973 +6579,MN,398,8,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,160 EAST 3 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,D4,3,0, ,156-168 EAST 3RD STRE,16998,55947,0,55947,0,0,0,0,0,0,2,1,6,61,61,167.75,105.92,135,88, ,1,N,5,2,990000,5168700,28320,28320,1940,1987,0, , ,3.29,4,0,4,1,1003980008,0,3002,988468,202753,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,550.1942251,17300.84106,4178700,1,0,6579,6579,75,16875,19.43000031,24.04444504,4.614444733,20.51989937,1.629365422,1538.992453 +6580,MN,137,7504,101,21,2001,2,1,10007,L010,1,15,7700, ,1, ,146 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1875,8355,1218,7137,0,1218,0,0,0,0,2,1,7,5,6,25.08,76.08,25,71, ,3,Y,5,5,189074,650082,0,0,1915,1989,2006, , ,4.46,7.52,6,7.5,1,1001377504,1781,21,981520,199980,12b,Y,101S015,10104, ,1001370033,12/13/2007,1, , ,17V1.1,7,204.2630045,1827.30921,461008,14,0,6580,6580,9,2025,19.68199921,20.35111046,0.669111252,19.80454254,0.235872391,178.2408829 +6581,MN,899,20,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,235 EAST 18 STREET,R7B,R7-2, , , , , , , , ,Y,B9,1,0, ,JUDSON MEMORIAL CHURC,2242,4532,0,3234,0,0,0,0,0,0,2,1,3,2,2,22.42,100,22.42,44,E,2,N,5,1,56131,179158,26846,111625,1901,0,0, , ,2.02,3,0,3,1,1008990020,0,48,988766,207180,12c, ,102 047,10308, ,0, ,1, , 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+6584,MN,722,70,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,456 WEST 25 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"TEMPLER, KARL",1975,3520,0,2640,0,0,0,0,0,0,2,1,3,3,3,20,98.75,20,44, ,3,N,5,1,68683,151532,0,0,1910,0,0, , ,1.78,3,0,3,1,1007220070,0,93,983466,211994,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,238.8390386,1996.758502,82849,2,1,6584,6584,9,2025,10.68099976,11.87333298,1.192333221,10.9043578,0.427083379,98.13922024 +6585,MN,793,37,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,603 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K9,5,0,P,"595 REALTY, LLC",1325,3975,3975,0,0,1300,0,0,0,2675,2,1,3,0,2,18.33,72,18,72, ,3,Y,5,2,391500,880650,0,0,1920,0,0, , ,3,6.02,6,6.5,1,1007930037,0,81,985491,208753,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,186.0001377,1406.017131,489150,7,0,6585,6585,7,1575,27.66555595,30.56999969,2.904443741,28.49539702,1.312093937,199.4677792 +6586,MN,154,1,101,31,1016,2,1,10007,L001,5,15,7700,1,1,3A,290 BROADWAY,C6-4, , , , , , , , , ,N,O4,5,0,O,GENERAL SERVICE ADMIN,43569,1000000,1000000,0,1000000,0,0,0,0,0,2,1,32,0,1,178.52,400.5,175,248, ,2,Y,3,2,5310000,92410200,5310000,92410200,1992,0,0,African Burial Ground & The Commons Hist, ,22.95,10,10,10,1,1001540001,0,31,982776,199697,12b, ,101S020,10105, ,1001540001,12/4/1992,1, , ,17V1.1,0,1160.875559,45518.71153,87100200,14,0,6586,6586,201,45225,25.92111015,32.57666779,6.655557632,27.48496054,0.771192833,5524.477068 +6587,MN,514,7505,102,49,1001,2,1,10012,L020,1,15,6800,1,2, ,160 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,6510,36976,4903,32073,0,4903,0,0,0,0,2,1,8,15,17,200.25,45,200,45, ,0,Y,0,5,850501,6909754,7080,7080,2003,0,0,SoHo-Cast Iron Historic District, ,5.68,0,5,6.5,1,1005147505,1404,49,984538,203849,12c, ,101N072,10206, ,1005140014,12/27/2004,1, , ,17V1.1,7,501.0582595,6546.308582,6059250,9,0,6587,6587,28,6300,22.59666634,29.31611061,6.719444275,23.92214271,2.356568123,669.8199959 +6588,MN,309,22,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,51 LUDLOW STREET,C6-2, , , , , , , , , ,N,D3,3,0, ,SRS LUDLOW LLC.,4380,26300,0,26300,0,0,0,0,0,0,2,1,10,35,35,25,87.5,25,88,E,2,N,5,2,297000,4042350,0,0,2000,0,0, , ,6,6.02,6,6.5,1,1003090022,0,16,986904,200340,12c, ,101N051,10107, ,1003090022,12/29/1999,1, , ,17V1.1,0,280.8846757,4513.250167,3745350,13,0,6588,6588,21,4725,34.44444275,37.09366608,2.649223328,34.57059624,0.564175566,725.9825211 +6589,MN,464,7501,103,38,1000,1,2,10003,E033,9,14,6500,4,3, ,214 EAST 9 STREET,R8B, , , , , , , , , ,N,RM,4,0, ,ROYAL STUYVESANT COND,3375,17431,3050,14381,0,2050,0,0,0,1000,2,1,4,14,18,45,75,0,0, ,0,N,5,5,445500,2308500,2360,2360,1900,0,0, , ,5.16,4,0,4,1,1004647501,643,38,987385,205088,12c, ,102 018,10205, ,1004640017,2/1/1990,1, , ,17V1.1,7,249.9506085,3613.446675,1863000,12,0,6589,6589,17,3825,34.9980011,36.21444321,1.216442108,35.06955652,0.286221673,596.1824608 +6590,MN,864,51,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,26 EAST 35 STREET,R9X, , , , , , , , , ,N,M9,8,0, ,THE COMMUNITY CHURCH,2057,6859,4259,2600,0,0,0,0,0,4259,2,1,4,4,5,20.83,98.75,21,60, ,3,N,5,1,345150,571050,237115,275371,1900,0,0, , ,3.33,9,0,9,1,1008640051,0,74,989252,211782,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,246.3312346,2076.450058,225900,10,0,6590,6590,8,1800,60.8769989,62.11611176,1.239112854,61.03188801,0.409798057,488.2551041 +6591,MN,519,13,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,52 KING STREET,R6, , , , , , , , , ,N,C6,2,0,P,52 KING ST OWNERS INC,2093,4305,0,4305,0,0,0,0,0,0,2,1,4,4,4,20.83,100.5,21,52,E,3,N,5,2,205415,563530,0,0,1900,1988,0,Charlton-King-Vandam Historic District, ,2.06,2.43,0,4.8,1,1005190013,0,37,982913,204359,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,244.8554262,2037.897701,358115,9,0,6591,6591,9,2025,16.83888817,19.83111,2.992221832,17.49888823,1.234791483,157.489994 +6592,MN,877,44,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,266 3 AVENUE,C1-9A, , , , , , , , , ,N,D7,4,0,P,VASOS LLC,2850,6480,2090,4390,0,2090,0,0,0,0,2,1,3,7,8,38.33,75,38,55, ,3,N,5,0,388350,782294,0,0,2016,2015,0, , ,2.27,10,2,10,1,1008770044,0,68,988633,208113,8d,Y,102 045,10307, ,0, ,1, , ,17V1.1,0,234.2750658,2992.36181,393944,5,0,6592,6592,13,2925,22.27111053,22.27111053,0,22.27111053,0,289.524437 +6593,MN,144,7502,101,33,3022,2,1,10013,E007,1,15,7700,3,1, ,36 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5118,34787,6598,28189,0,6598,0,0,0,0,2,1,8,11,13,52.75,91,51,91, ,1,Y,1,5,576000,4727251,0,2052623,1910,2005,0,Tribeca West Historic District, ,6.8,6.02,6,6.5,1,1001447502,1597,33,981806,200499,12a, ,11S/035,10104, ,1001440016,12/29/2006,1, , ,17V1.1,7,283.7646579,5101.920214,4151250,14,0,6593,6593,24,5400,11.09777832,11.09777832,0,11.09777832,0,266.3466797 +6594,MN,436,41,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,111 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"ST. MARKS EV REALTY,",2348,6115,1019,5096,0,1019,0,0,0,0,2,1,5,10,12,25,93.92,25,49, ,3,N,5,1,184500,718200,0,0,1900,1986,0, , ,2.6,4,0,4,1,1004360041,0,32,988740,204211,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.2200192,2327.730012,533700,12,0,6594,6594,11,2475,17.84799957,17.84799957,0,17.84799957,0,196.3279953 +6595,MN,580,52,102,37,2004,2,3,10014,E024,1,15,6800,1,2,1B,82 KING STREET,M1-6, , , , , ,HSQ, , , ,N,G1,10,0,P,TOLL NY II L.P.,20325,40740,40740,0,0,0,40740,0,0,0,2,1,2,0,1,100.83,201.42,100,201.42, ,2,Y,4,0,1800000,4725000,0,0,1925,2013,0, , ,2,0,10,10,1,1005800052,0,37,982480,204363,12a, ,101N066,10208,E-288,0, ,1, , ,17V1.1,0,622.4021519,21307.64513,2925000,0,0,6595,6595,94,21150,16.625,17.35333252,0.72833252,16.65548463,0.126773958,1565.615555 +6596,MN,285,29,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,193 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,W2,8,0,X,"EA FOUNDATION OF NY,",10529,48517,48517,0,0,0,0,0,0,48517,2,1,6,0,1,120.33,87.5,120,88, ,2,N,3,2,1071000,10171350,1071000,10171350,1900,1970,2012, , ,4.61,3.44,0,6.5,1,1002850029,0,6,987479,199399,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,433.8684244,11528.15198,9100350,13,0,6596,6596,51,11475,23.9640007,25.56777763,1.603776932,24.0593427,0.339915291,1227.026478 +6597,MN,569,28,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,80 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,O5,5,0,P,THIRD JAM DEVELOPMENT,2540,12244,12244,0,10244,2000,0,0,0,0,2,1,5,0,5,25,91.5,25,91, ,2,Y,3,2,308250,2529450,0,0,1930,1964,0, , ,4.82,6.02,2,6.5,1,1005690028,0,61,986049,206517,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,259.0224044,2989.958852,2221200,8,0,6597,6597,14,3150,34.37900162,34.37900162,0,34.37900162,0,481.3060226 +6598,MN,393,40,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,391 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C4,2,0,P,LESPMHA HOUSING DEVEL,2748,10265,0,10265,0,0,0,0,0,0,2,1,5,7,7,29,94.75,29,70, ,0,N,5,5,14953,296021,0,281068,1900,1991,0, , ,3.74,4,0,4,1,1003930040,0,28,990393,203863,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,254.9700024,2909.648877,281068,12,1,6598,6598,13,2925,7.409999847,10.33888912,2.928889275,8.210170819,1.208979046,106.7322207 +6599,MN,508,30,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,265 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,S1,4,0, ,WILLIAM GOTTLIEB,2313,4200,1950,2250,0,1950,0,0,0,0,2,1,3,1,2,25,92.5,25,40,E,3,N,5,2,55864,70517,0,0,1899,2012,0, , ,1.82,6.02,6,6.5,1,1005080030,0,43,985937,203032,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,248.0337151,2504.279322,14653,9,0,6599,6599,13,2925,44.87400055,47.70222092,2.828220367,45.14808567,0.762702364,586.9251137 +6600,MN,769,63,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,246 WEST 20 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,245 REALTY L.L.C. C/O,2092,5472,0,5472,0,0,0,0,0,0,2,1,4,16,16,26.83,78,27,48, ,3,Y,5,1,108000,1167750,0,0,1920,1984,0, , ,2.62,4,0,4,1,1007690063,0,87,984468,209953,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,214.3441959,2212.893215,1059750,7,0,6600,6600,10,2250,21.88888931,23.92000008,2.031110764,22.09200039,0.609333229,220.9200039 +6601,MN,886,39,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,151 EAST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,SIGMA DEVELPMENT COIN,1975,7510,0,7510,0,0,0,0,0,0,2,1,5,11,11,20,98.75,20,88, ,3,N,5,1,225000,551250,0,0,1930,1974,0, , ,3.8,4,0,4,1,1008860039,0,72,989683,210202,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,249.230889,2152.50616,326250,10,0,6601,6601,9,2025,28.17889023,34.16666794,5.98777771,29.45111254,2.38333138,265.0600128 +6602,MN,588,25,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,304 BLEECKER STREET,C2-6,C1-6, , , , , , , , ,Y,S3,4,0, ,304 BLEECKER TREVI LL,1659,3965,1595,2370,0,1595,0,0,0,0,2,1,4,3,4,19.67,80.75,20,80,E,3,Y,5,5,132090,394611,0,0,1910,2012,0,Greenwich Village Historic District, ,2.39,3.44,2,6.5,1,1005880025,0,73,983143,206148,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,211.0134473,1709.11614,262521,9,0,6602,6602,8,1800,22.65500069,23.5988884,0.943887711,22.90298653,0.393641317,183.2238922 +6603,MN,909,34,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,519 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0, ,519 SHAMROCK ASSETS L,1870,8588,1590,6998,0,1590,0,0,0,0,2,1,5,8,9,24,78,25,78,E,2,N,3,2,259689,885625,0,0,1910,0,0, , ,4.59,7.52,2,7.5,1,1009090034,0,66,990204,209484,8d, ,104 008,10308, ,1009090034,12/18/1984,1, , ,17V1.1,0,216.1332948,2183.709225,625936,11,0,6603,6603,10,2250,34.61700058,36.22222137,1.605220795,34.90052261,0.52582678,349.0052261 +6604,MN,778,27,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,223 WEST 28 STREET,M1-6D, , , , , , , , , ,N,E1,6,0, ,215 WEST 28TH STREET,2279,4554,4554,0,1771,0,0,0,2783,0,2,1,2,0,2,23.08,98.75,23,99, ,3,N,5,1,130500,537300,0,0,1930,1985,0, , ,2,10,10,10,1,1007780027,0,95,985812,211756,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,259.2191076,2358.920796,406800,2,0,6604,6604,11,2475,28.45999908,30.42000008,1.960000992,28.63818099,0.563460668,315.0199909 +6605,MN,724,100,104,97,2002,2,3,10001,E003,10,15,5500,1,4,2B,294 10 AVENUE,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,150050,18924,18924,0,0,0,0,0,0,18924,2,1,3,0,0,197.5,800,0,100, ,0,Y,3,5,12330450,14780700,12330450,14780700,0,0,0, , ,0.13,0,0,0,1,1007240100,0,97,984060,212493,8d,Y,105S006,10302, ,0, ,1, , ,17V1.1,0,2386.425597,152970.4172,2450250,2,0,6605,6605,681,153225,13.4333334,25.08777809,11.65444469,18.60261283,2.090280536,12668.37934 +6606,MN,744,14,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,345 WEST 20 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"SKYLER,",1840,4700,0,4700,0,0,0,0,0,0,2,1,4,4,4,20,92,20,53,E,3,N,5,5,68245,458534,0,0,1900,2005,1999,Chelsea Historic District, ,2.55,3,0,3,1,1007440014,0,89,983784,210492,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,226.4701504,1883.766834,390289,7,0,6606,6606,8,1800,15.84222221,15.84222221,0,15.84222221,0,126.7377777 +6607,MN,720,8,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,479 WEST 22 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"MARED, L.L.C.",1557,4150,0,4150,0,0,0,0,0,0,2,1,4,4,4,15.67,98.75,16,52, ,3,N,5,5,284730,434016,0,0,1900,1988,1999,Chelsea Historic District Extension, ,2.67,3,0,3,1,1007200008,0,93,983147,211427,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,221.4211025,1551.876425,149286,2,1,6607,6607,7,1575,9.369999886,9.369999886,0,9.369999886,0,65.5899992 +6608,MN,829,20,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,29 WEST 27 STREET,M1-6, , , , , , , , , ,N,C5,2,0, ,29 WEST 27 ST ASSOCIA,2273,9165,1500,7665,0,1500,0,0,0,0,2,1,5,8,9,25,98.75,25,99,E,3,Y,5,2,170385,914453,0,0,1925,1983,0,Madison Square North Historic District, ,4.03,0,10,10,1,1008290020,0,58,987215,210685,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,249.0266931,2509.357895,744068,2,0,6608,6608,10,2250,42.75111008,42.97333145,0.222221375,42.77333221,0.066666412,427.7333221 +6609,MN,699,63,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,554 WEST 28 STREET,C6-3, , , , , ,WCH, , , ,N,K2,5,0,P,FRANKLIN TOWERS LLC,2469,4937,4937,0,0,4937,0,0,0,0,2,1,2,0,1,25,98.75,25,98.75, ,3,N,5,0,225000,1029600,0,0,1900,2001,0,West Chelsea Historic District, ,2,7.52,6,10,1,1006990063,0,99,983045,213113,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,256.8434317,2606.34305,804600,2,1,6609,6609,13,2925,9.874000549,11.27777767,1.403777123,10.14034227,0.410596301,131.8244495 +6610,MN,517,31,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,137 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"NINA LEE, LLC",2467,9583,1535,8048,0,1535,0,0,0,0,2,1,5,16,18,24.67,100,25,74, ,3,N,5,2,96750,2033100,0,0,1900,1986,0,Sullivan-Thompson Historic District, ,3.88,3.44,0,6.5,1,1005170031,0,49,983855,204037,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,253.678154,2522.753952,1936350,9,0,6610,6610,10,2250,17.9011116,23.16777802,5.266666412,18.77066708,1.787002602,187.7066708 +6611,MN,135,7502,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,18 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,OWNER / AGENT,2496,14910,7767,7143,0,7767,0,0,0,0,2,1,5,4,5,0.05,0,0,0, ,0,N,5,5,90508,596090,76139,145824,1920,0,0, , ,5.97,7.52,6,7.5,1,1001357502,662,21,982143,199501,12b, ,101S 18,10104, ,1001350008,12/14/1989,1, , ,17V1.1,7,256.4829324,2556.737721,505582,3,0,6611,6611,11,2475,32.66199875,33.46977615,0.807777405,32.73543306,0.232219677,360.0897636 +6612,MN,611,65,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2K,23 GREENWICH AVENUE,C1-6,R6, , , , , , , , ,Y,D4,3,0,P,33 GREENWICH OWNERS C,13422,142941,9401,133540,0,9401,0,0,0,0,2,1,15,150,155,150.25,110,142,82, ,3,Y,3,2,2115000,14721300,61770,61770,1961,2013,2013,Greenwich Village Historic District, ,10.65,3.44,2,6.5,1,1006110065,0,71,984131,207012,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,494.2097483,14190.61489,12606300,8,0,6612,6612,62,13950,19.84000015,21.42777824,1.587778091,19.99953061,0.400609918,1239.970898 +6613,MN,738,63,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,342 WEST 15 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,ROSIN REAL ESTATE CAP,1528,3950,0,3950,0,0,0,0,0,0,2,1,6,6,6,18.75,81.5,19,52,E,3,N,5,5,205055,856720,0,0,1900,2008,0, , ,2.59,4,0,4,1,1007380063,0,83,983205,209228,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,208.7836134,1533.565774,651665,7,0,6613,6613,6,1350,16.15333366,18.67666626,2.523332596,16.88388888,1.050756634,101.3033333 +6614,MN,880,73,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,54 LEXINGTON AVENUE,C5-2, , , , , , , , , ,N,N9,8,0,P,"ROSEHILL FRIENDS, L.P",3405,23849,23849,0,0,0,0,0,0,23849,2,2,7,0,1,49.33,69,49.37,69, ,3,N,3,2,1395000,2774250,1395000,2774250,1916,1930,0, , ,7,10,10,10,1,1008800073,0,68,988634,209164,8d, ,104 005,10307, ,1008800073,1/4/2000,1, , ,17V1.1,0,306.7006392,5358.953902,1379250,11,0,6614,6614,24,5400,29.2211113,31.30666733,2.08555603,29.44712989,0.602947403,706.7311172 +6615,MN,406,18,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,524 EAST 13 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,524 EAST TENANTS CORP,2581,10405,0,10405,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,82, ,2,N,5,2,34650,978300,33040,33040,1925,1982,0, , ,4.03,4,0,4,1,1004060018,0,34,989843,204885,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.0383781,2675.492096,943650,12,1,6615,6615,12,2700,11.35888863,14.60000038,3.241111755,12.11592579,1.232464535,145.3911095 +6616,MN,874,68,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1A,116 EAST 19 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,116 E 19 STREET LLC,2300,6875,0,6875,0,0,0,0,0,0,2,1,5,7,7,25,92,25,68,E,3,N,5,1,195681,699234,0,0,1920,1986,0, , ,2.99,4,0,4,1,1008740068,0,50,987836,207800,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,243.2682051,2399.356299,503553,5,0,6616,6616,11,2475,33.17778015,33.91699982,0.739219666,33.84979803,0.212510712,372.3477783 +6617,MN,414,58,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,93 ORCHARD STREET,C4-4A, , , , , , , , , ,N,S4,4,0, ,GOLSAM APPAREL CORP,1249,5320,1400,3920,0,1400,0,0,0,0,2,1,5,4,5,19.17,65.17,19,48, ,3,N,5,5,129019,187664,0,0,1900,0,0, , ,4.26,4,4,4,1,1004140058,0,18,986938,201014,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,172.2329283,1226.762128,58645,13,0,6617,6617,5,1125,37.73199844,37.94933319,0.217334747,37.77546539,0.086933899,188.877327 +6618,MN,174,7,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,75 LEONARD STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,"HARMACOL REALTY CO.,",5054,23072,5000,18072,0,5000,0,0,0,0,2,1,6,16,18,51.08,100,50,95, ,3,Y,5,2,359550,2565450,0,0,1920,1980,0,Tribeca East Historic District, ,4.57,6.02,6,6.5,1,1001740007,0,33,982845,200713,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,304.6198621,5166.661874,2205900,14,0,6618,6618,22,4950,21.5755558,21.5755558,0,21.5755558,0,474.6622276 +6619,MN,617,45,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,220 WEST 13 STREET,C1-6, , , , , , , , , ,N,D7,4,0,P,"T. BONNETT, LLC",3315,13662,2277,11385,0,2277,0,0,0,0,2,2,6,22,23,40,89.5,40,72, ,3,Y,5,2,405000,1876500,0,0,1928,0,0,Greenwich Village Historic District, ,4.12,3.44,2,6.5,1,1006170045,0,77,983841,208219,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,256.4414333,3483.552039,1471500,8,0,6619,6619,16,3600,23.28222275,23.80444527,0.522222519,23.31486166,0.126409945,373.0377865 +6620,MN,189,5,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,144 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0, ,FRANKLIN ARTISTS CORP,3544,22827,3200,19627,0,0,0,3200,0,0,2,1,7,8,9,40,87.5,40,80, ,2,N,5,2,163325,804336,2360,2360,1915,2009,0,Tribeca West Historic District, ,6.44,6.02,6,6.5,1,1001890005,0,33,982151,201370,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,266.5755114,3782.449125,641011,14,1,6620,6620,16,3600,10.17444515,10.17444515,0,10.17444515,0,162.7911224 +6621,MN,20,4,101,13,2009,2,1,10006,E010,1,15,7700,1,1, ,39 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,39 CAM LLC,17440,447452,447452,0,429554,17898,0,0,0,0,2,1,38,0,87,88.81,190.27,88,190, ,3,Y,4,2,10350000,35996400,0,0,1928,0,0, , ,25.66,10,15,15,1,1000200004,0,13,980527,196617,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,564.0510023,17122.96847,25646400,15,0,6621,6621,76,17100,18.65444374,26.22488785,7.570444107,22.52372714,0.614199592,1711.803263 +6622,MN,766,28,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,223 WEST 16 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,223 WEST 16TH LLC,2300,10620,1770,8850,0,1770,0,0,0,0,2,1,5,15,16,25,92,25,80, ,3,N,5,1,38250,931950,0,0,1915,1983,0, , ,4.62,4,0,4,1,1007660028,0,81,984358,209057,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.2137383,2338.642979,893700,7,0,6622,6622,11,2475,21.88888931,24.32699966,2.438110352,22.11053571,0.700907445,243.2158928 +6623,MN,385,37,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,25 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C1,2,0,P,25 AVENUE C NEW REALT,2650,9180,0,9180,0,0,0,0,0,0,2,1,6,13,13,26.5,100,25.5,60, ,0,N,5,5,238500,966150,0,0,2000,0,0, , ,3.46,4,0,4,1,1003850037,0,2202,989495,202135,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,258.708676,2692.800875,727650,1,0,6623,6623,12,2700,14.97222233,14.97222233,0,14.97222233,0,179.6666679 +6624,MN,458,1,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,325 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0,P,ATLAS BOWERY LLC,1770,8850,5310,3540,0,5310,0,0,0,0,2,2,4,2,3,25.83,67,26,73, ,3,Y,3,2,236250,2353050,0,0,1900,2011,2005, , ,5,3.44,6,6.5,1,1004580001,0,3602,986546,203645,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,201.8176543,1964.063056,2116800,1,0,6624,6624,8,1800,39.7840004,39.7840004,0,39.7840004,0,318.2720032 +6625,MN,386,7501,103,26.01,2001,1,2,10009,E028,9,14,6700,3,3, ,211 EAST 3 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,R2,2,0, ,OWNER / AGENT,4424,16550,0,16550,0,0,0,0,0,0,2,1,6,13,13,46,96.17,0,0, ,0,N,5,5,87747,1520102,11301,66855,1920,0,0, , ,3.74,4,0,4,1,1003867501,548,2601,989140,202559,12c, ,102 013,10203, ,1003860064,12/31/1988,1, , ,17V1.1,7,291.530026,4606.500934,1432360,1,0,6625,6625,20,4500,14.43666649,14.43666649,0,14.43666649,0,288.7333298 +6626,MN,384,18,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,227 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,ESPACEA LLC,2100,6525,0,6525,0,0,0,0,0,0,2,1,5,10,10,24.75,85,25,52, ,3,Y,5,2,19738,88094,0,0,1900,0,0, , ,3.11,6,0,6,1,1003840018,0,2202,989073,202116,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,226.5439119,2199.750411,68356,1,0,6626,6626,9,2025,18.08333397,18.58333206,0.499998093,18.1766546,0.164655074,163.5898914 +6627,MN,306,23,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,289 GRAND STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WONG'S GRAND ST RTYIN,2500,14500,2200,12300,0,2200,0,0,0,0,2,1,6,13,14,25,100,25,96,E,3,N,3,2,168750,1182600,0,0,1900,2012,0, , ,5.8,3.44,6,6.5,1,1003060023,0,16,986342,200674,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,258.7690744,2766.427266,1013850,13,0,6627,6627,12,2700,37.59777832,37.59777832,0,37.59777832,0,451.1733398 +6628,MN,742,1,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,128 9 AVENUE,C2-6A, , , , , , , , , ,N,S2,4,0, ,363 WEST 18TH STREEET,975,2523,908,1615,0,908,0,0,0,0,2,1,3,2,3,22.08,44,22.08,37, ,3,N,3,2,37179,94952,0,0,1910,0,0, , ,2.59,4,2,4,1,1007420001,0,89,983349,210134,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,133.0258853,974.1414093,57773,7,0,6628,6628,5,1125,15.59444427,15.59444427,0,15.59444427,0,77.97222137 +6629,MN,802,6,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,165 WEST 26 STREET,M1-6, , , , , , , , , ,N,D5,3,0, ,165 WEST 26 LLC,4345,24254,3000,21254,0,3000,0,0,0,0,2,1,6,10,12,44,98.75,44,99,E,3,N,5,2,616500,1999350,0,0,1920,0,0, , ,5.58,0,10,10,1,1008020006,0,95,986028,211049,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,293.4708658,4593.352541,1382850,2,0,6629,6629,20,4500,32.50999832,32.50999832,0,32.50999832,0,650.1999664 +6630,MN,545,7,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,710 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,710 OWNERS CORPORATIO,3440,29351,1400,27951,0,1400,0,0,0,0,2,1,10,10,11,25,137.58,25,138,E,3,N,5,2,225000,3121200,52300,52300,1900,1987,0,NoHo Historic District, ,8.53,0,5,6.5,1,1005450007,0,57,986035,204760,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,337.9437768,3639.84461,2896200,9,0,6630,6630,16,3600,38.29555511,38.29555511,0,38.29555511,0,612.7288818 +6631,MN,68,7502,101,15.02,1010,2,1,10038,E004,1,15,7700,1,1, ,90 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,9642,126291,9398,112074,0,9398,0,0,0,0,2,1,17,113,116,61,152,61,152, ,0,Y,0,5,3599566,20125360,372903,7065858,1967,2005,0, , ,13.1,10,15,15,1,1000687502,1885,1502,982178,197248,12b, ,11S 012,10102, ,1000680022,10/6/2008,1, , ,17V1.1,7,435.0627819,9807.241655,16525800,4,0,6631,6631,43,9675,13.77499962,18.2733326,4.498332977,14.03082648,0.866586836,603.3255386 +6632,MN,526,84,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,72 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,MACAJA LTD,3160,7406,1480,5926,0,1480,0,0,0,0,2,1,4,6,8,40,79.17,40,75,E,3,Y,3,2,182564,702945,0,0,1958,1986,0, , ,2.34,3.44,0,6.5,1,1005260084,0,65,983745,204582,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,244.9658019,3371.825201,520381,9,0,6632,6632,15,3375,23.22699928,23.51555443,0.288555145,23.25883636,0.080383273,348.8825455 +6633,MN,614,45,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,253 WEST 11 STREET,R6, , , , , , , , , ,N,C4,2,0, ,285 WEST FOURTH LLC,1400,6375,810,5565,0,810,0,0,0,0,2,1,5,9,10,25,56,25,52, ,2,N,3,2,187442,443098,0,0,1915,0,0,Greenwich Village Historic District, ,4.55,2.43,0,4.8,1,1006140045,0,77,983290,207548,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,167.319929,1542.428663,255656,8,0,6633,6633,7,1575,26.80333328,26.80333328,0,26.80333328,0,187.623333 +6634,MN,276,28,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,41 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,YANG'S REEALTY CORP,1192,5635,1120,4515,0,1120,0,0,0,0,2,1,5,7,9,28.17,40,29,41, ,3,N,3,2,58398,176296,0,0,1900,1984,0, , ,4.73,3.44,0,6.5,1,1002760028,0,8,985768,198742,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,152.2869059,1405.504597,117898,16,0,6634,6634,6,1350,23.59300041,23.59300041,0,23.59300041,0,141.5580025 +6635,MN,882,17,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,125 EAST 26 STREET,C4-5A, , , , , , , , , ,N,B1,1,0, ,R. ROBBINS AND M. ROB,1407,3080,0,2310,0,0,0,0,0,0,2,1,3,2,2,14.25,98.75,14.25,55, ,3,N,5,1,64713,111831,0,0,1910,0,0, , ,2.19,4,4,4,1,1008820017,0,68,988746,209544,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,230.7396584,1423.521662,47118,11,0,6635,6635,6,1350,33.85400009,35.12444305,1.270442963,34.27674039,0.597846443,205.6604424 +6636,MN,427,7,103,36.01,3001,1,1,10002,L020,5,14,6500,1,3,2A,257 BOWERY,C6-1, , , , , , , , , ,N,P7,8,0, ,"WEST-ONE, LLC",2500,20200,20200,0,7575,12625,0,0,0,0,2,1,8,0,2,25,101.48,25,101, ,3,Y,5,2,627750,2752650,0,0,2009,0,0, , ,8.08,3.44,6,6.5,1,1004270007,0,3601,986311,202739,12c, ,102 001,10204, ,1004270030,12/12/1997,1, , ,17V1.1,0,263.3835064,2697.817021,2124900,9,0,6636,6636,12,2700,40.95600128,45.92555618,4.969554901,41.37013086,1.373512415,496.4415703 +6637,MN,135,7505,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,22 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,22 WARREN HOUSE CONCO,2504,14834,5834,9000,0,0,0,0,0,5834,2,1,6,5,6,24.96,100.33,0,0, ,0,N,0,5,88988,1281286,4720,328985,1915,0,0, , ,5.92,7.52,6,7.5,1,1001357505,1225,21,982101,199526,12b, ,11S 018,10104, ,1001350010,4/2/2002,1, , ,17V1.1,7,255.5783227,2518.762608,1192300,3,0,6637,6637,11,2475,32.66199875,32.66199875,0,32.66199875,0,359.2819862 +6638,MN,590,1,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,257 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,257 BLEECKER LLC,1032,2800,686,2114,0,686,0,0,0,0,2,1,4,6,8,17.17,60.2,17,59, ,0,N,3,5,158147,269923,0,0,1920,1983,2012,Greenwich Village Historic District Exte, ,2.71,3.44,0,6.5,1,1005900001,0,67,983470,205696,12a, ,103 005,10208, ,1005900001,7/28/2006,1, , ,17V1.1,0,163.4076362,1142.071451,111776,9,0,6638,6638,6,1350,17.79000092,17.79000092,0,17.79000092,0,106.7400055 +6639,MN,909,14,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,227 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"227 EAST 28TH STREET,",2469,9685,0,9685,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,89, ,3,N,5,2,135000,815850,0,0,1912,0,0, , 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,17V1.1,0,151.3680717,1323.648489,532800,13,0,6641,6641,6,1350,26.83777809,29.89111137,3.053333282,27.34666697,1.13791013,164.0800018 +6642,MN,441,18,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,422 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,422 EAST 14 STREET AS,2581,9000,1800,7200,0,1800,0,0,0,0,2,1,5,19,21,25,103.25,25,70, ,3,N,5,2,468000,1697850,0,0,1960,1961,0, , ,3.49,4,2,4,1,1004410018,0,34,989342,205466,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,260.1146079,2668.944432,1229850,12,0,6642,6642,12,2700,16.39666748,18.75,2.35333252,16.59277852,0.650426748,199.1133423 +6643,MN,113,100,101,29,4022,2,1,10038,E006,5,15,7700,1,1,3A,411 PEARL STREET,C6-4, , , , , , , , , ,N,W1,8,0,O,NYC EDUCATION CONST F,53675,305000,305000,0,305000,0,0,0,0,0,2,1,7,0,0,325.5,346.17,273.5,273.5, ,0,Y,5,5,6038550,35277750,6038550,35277750,1975,0,0, , ,5.68,10,10,10,1,1001130100,0,29,983791,198419,12b,Y,101S022,10104, ,0, ,1, , ,17V1.1,0,1055.972476,53738.07877,29239200,4,0,6643,6643,240,54000,21.14999962,25.81777763,4.667778015,22.98681966,0.463956188,5516.83672 +6644,MN,606,43,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,136 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,TATIANA B COPELAND,2916,5930,0,4550,0,0,0,0,0,0,2,1,2,3,3,22.5,129.58,22.5,60,E,3,N,5,1,50007,232388,0,0,1899,0,0,Greenwich Village Historic District, ,2.03,2.43,0,4.8,1,1006060043,0,71,984267,207345,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,313.2042739,3028.414473,182381,8,0,6644,6644,14,3150,22.88899994,24.28777885,1.398778915,23.36505577,0.511706442,327.1107807 +6645,MN,568,14,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,22 EAST 11 STREET,R7-2, , , , , , , , , ,N,A5,1,0, ,"WILLIAM SAHLMAN, AS T",2371,4975,0,4975,0,0,0,0,0,0,2,1,4,1,1,25,94.83,25,48, ,3,N,5,0,96702,301407,0,0,1899,0,0,Greenwich Village Historic District, ,2.1,3.44,0,6.5,1,1005680014,0,61,985869,206482,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,242.4043205,2413.219859,204705,8,0,6645,6645,10,2250,30.95599937,33.70777512,2.751775742,31.76391029,1.069984217,317.6391029 +6646,MN,769,47,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,214 WEST 20 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,214 WEST 20TH CORP,2100,4000,0,4000,0,0,0,0,0,0,2,1,3,16,16,25,84.58,25,40, ,3,Y,5,1,82800,692100,0,0,1930,1952,2001, , ,1.9,4,0,4,1,1007690047,0,87,984811,209758,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,230.4984946,2354.240638,609300,7,0,6646,6646,10,2250,21.88888931,23.90777779,2.018888474,22.27622242,0.775538436,222.7622242 +6647,MN,30,19,101,9,1012,2,1,10004,L015,1,15,7700,1,1, ,7 HANOVER SQUARE,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,SEVEN HANOVER ASSOCIA,35496,782883,782883,0,759723,4219,18941,0,0,0,2,1,26,0,14,146.42,247.67,128,253, ,2,Y,3,2,23400000,85382550,0,0,1983,0,0, , ,22.06,10,15,15,1,1000300019,0,9,981573,195784,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,806.026535,37509.25703,61982600,17,1,6647,6647,166,37350,7.721999645,11.93444443,4.212444782,8.054844397,0.920169714,1337.10417 +6648,MN,897,44,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,175 3 AVENUE,C1-9A, , , , , , , , , ,N,C7,4,0, ,ELEBEN YAU MEI WONG,3240,12192,2700,9492,0,2700,0,0,0,0,2,1,5,12,15,54,60,54,48, ,3,N,5,2,281250,2565450,0,0,1930,1986,0, , ,3.76,10,2,10,1,1008970044,0,48,988196,206983,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,230.5743808,3301.358582,2284200,5,0,6648,6648,15,3375,25.1044445,32.59666824,7.49222374,25.85522982,2.031219509,387.8284473 +6649,MN,465,25,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,29 STUYVESANT STREET,R8B, , , , , , , , , ,N,A5,1,0, ,"LERNER, DAVIE J",779,2375,0,2375,0,0,0,0,0,0,2,1,5,1,1,19,47.58,19,25, ,3,Y,5,2,30122,77990,8450,8450,1859,0,0,St. Mark's Historic District, ,3.05,4,0,4,1,1004650025,0,40,987495,205268,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,125.5647169,776.0460283,47868,12,0,6649,6649,3,675,33.48777771,33.48777771,0,33.48777771,0,100.4633331 +6650,MN,905,44,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,228 EAST 25 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"GASTGHAIB, MOHAMMED",1975,8160,0,8160,0,0,0,0,0,0,2,1,5,12,12,20,98.75,20,73,E,3,N,5,2,51300,786150,0,0,1910,1973,0, , ,4.13,4,0,4,1,1009050044,0,66,989500,208653,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,239.3474076,1993.47382,734850,11,0,6650,6650,9,2025,26.78800011,27.26133347,0.473333359,26.85525937,0.149352004,241.6973343 +6651,MN,26,21,101,7,1009,2,1,10005,L015,1,15,7700,1,1,1B,45 WALL STREET,C5-5, , , , , ,LM, , , ,N,D9,3,0, ,45 WALL ST. L.L.C.,20249,493187,36487,456700,0,12487,24000,0,0,0,2,1,27,435,440,107.5,184.87,107,185, ,0,Y,3,2,4725000,56389950,0,0,1958,1996,0, , ,24.36,10,15,15,1,1000260021,0,7,981500,196567,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,652.9157462,21686.97088,51665000,17,0,6651,6651,98,22050,19.03800011,27.0988884,8.06088829,19.84788215,2.31386154,1945.092451 +6652,MN,898,7501,106,48,2000,2,2,10003,E005,13,14,5900,1,6, ,305 2 AVENUE,R9A,R7B, , , , , , , , ,Y,RM,4,0, ,OWNER / AGENT,21432,165390,34158,131232,25309,4990,0,0,0,3859,2,1,10,127,161,184,165,184,165, ,0,Y,5,5,2825107,29326957,25807,92105,1950,1986,0, , ,7.72,7.52,0,7.52,1,1008987501,437,48,988780,206943,12c, ,102 036,10308, ,1008980027,11/30/1987,1, , ,17V1.1,7,720.4865911,23680.38099,26501900,5,0,6652,6652,106,23850,22.31888962,23.98444366,1.665554047,22.81088926,0.162846461,2417.954262 +6653,MN,625,12,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,615 1/2 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,615A HUDSON LLC,1975,9654,900,8754,0,900,0,0,0,0,2,1,6,15,17,24,83.5,24,68, ,3,N,5,2,495000,1165050,0,0,1900,1985,0,Greenwich Village Historic District, ,4.89,3.44,2,6.5,1,1006250012,0,79,982602,208112,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,216.1634171,1941.68532,670050,8,0,6653,6653,10,2250,15.4800005,15.4800005,0,15.4800005,0,154.800005 +6654,MN,410,22,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,117 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,117 LUDLOW REALTY COR,2207,9119,1900,7219,0,1900,0,0,0,0,2,1,6,10,11,25.08,88,25,74, ,3,N,5,2,157500,797850,0,0,1900,0,0, , ,4.13,4,4,4,1,1004100022,0,18,987337,201446,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,228.132784,2183.341412,640350,13,0,6654,6654,10,2250,33.32444382,33.32444382,0,33.32444382,0,333.2444382 +6655,MN,601,7501,102,69,1012,2,3,10014,E024,6,15,6400,1,2, ,421 HUDSON STREET,M1-5, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,27622,222677,43303,179374,2497,9454,0,1999,0,29353,2,2,10,144,157,200,150,0,0, ,0,Y,5,5,3849729,34326906,98904,190831,1920,1920,1987, , ,8.06,0,5,6.5,1,1006017501,542,69,982223,205192,12a, ,103 001,10208, ,1006010058,8/29/1988,1, , ,17V1.1,7,745.5977638,31192.51052,30477200,9,0,6655,6655,139,31275,13.63999939,19.18000031,5.540000916,16.15410334,1.326998335,2245.420364 +6656,MN,877,56,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,150 EAST 22 STREET,R9A, , , , , , , , , ,N,A4,1,0,P,"ORTIZ, RICHARD",1975,5200,0,5200,0,0,0,0,0,0,2,1,5,1,1,20,98.75,20,60,G,3,N,5,0,81567,257962,0,0,1920,2005,2005, , ,2.63,7.52,0,7.52,1,1008770056,0,68,988564,208243,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,244.4401592,2048.688941,176395,11,0,6656,6656,9,2025,22.27111053,22.27111053,0,22.27111053,0,200.4399948 +6657,MN,590,34,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,7 CORNELIA STREET,R6,R7-2, , ,C1-5, , , , , ,Y,D7,4,0,P,ASK PROPERTY HOLDINGS,7186,26480,3800,22680,0,3800,0,0,0,0,2,4,5,47,49,75,95.5,50,76, ,0,N,5,5,702000,4197600,0,0,1900,2008,2014,Greenwich Village Historic District Exte, ,3.68,2.43,0,4.8,1,1005900034,0,67,983780,205883,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,344.8156295,7305.339708,3495600,9,0,6657,6657,33,7425,17.54000092,20.11999893,2.579998016,18.00730705,0.907808762,594.2411327 +6658,MN,410,37,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,110 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,QY DEVELOPMENT INC,2202,10275,1500,8775,0,1500,0,0,0,0,2,1,6,19,20,25,88.08,25,76, ,3,N,5,2,103050,471150,0,0,1900,1988,0, , ,4.67,4,4,4,1,1004100037,0,18,987426,201302,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,235.0307123,2443.174267,368100,13,0,6658,6658,11,2475,31.33099937,33.35377884,2.022779465,31.51488842,0.58150821,346.6637726 +6659,MN,597,46,102,37,1012,2,3,10014,E024,1,15,6800,1,2,1B,108 CHARLTON STREET,M1-6, , , , , ,HSQ, , , ,N,F5,6,0, ,GREENWICH CHARLTON OW,3683,22519,22519,0,3217,0,0,6434,12868,0,2,1,6,0,1,49.33,100.5,49,95, ,3,Y,5,2,294300,691650,0,8550,1900,1996,0, , ,6.11,0,10,10,1,1005970046,0,37,981924,204225,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,301.2998039,3673.020123,397350,0,1,6659,6659,16,3600,10.98999977,10.99400043,0.004000664,10.99375039,0.000968407,175.9000063 +6660,MN,819,56,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,18 WEST 18 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,17-18 MANAGEMENT COMP,13800,173152,163000,10152,157500,5500,0,0,0,0,2,1,11,0,7,75,184,75,184, ,0,N,5,2,1890000,15032700,0,0,1903,0,0,Ladies' Mile Historic District, ,12.55,10,10,10,1,1008190056,0,54,986071,208442,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,545.4226231,14921.02493,13142700,7,0,6660,6660,67,15075,32.36888886,37.12111282,4.752223969,32.88553898,1.408792968,2203.331112 +6661,MN,583,42,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,55 LEROY STREET,C2-6,R6, , , , , , , , ,Y,C7,4,0, ,"EMGE 3, INC.",3650,14175,1000,13175,0,1000,0,0,0,0,2,2,5,25,27,66.17,61.5,36,50, ,3,Y,5,2,348300,2235600,0,0,1920,1985,0,Greenwich Village Historic District, ,3.88,3.44,2,6.5,1,1005830042,0,67,982807,205347,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,257.417756,4094.080255,1887300,9,0,6661,6661,16,3600,15.38333321,18.03444481,2.651111603,15.64138877,0.666168706,250.2622204 +6662,MN,435,13,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,98 ST MARKS PLACE,R8B, , , , , , , , , ,N,C1,2,0, ,98 ST. MARKS PLACE LI,2518,9775,0,9775,0,0,0,0,0,0,2,1,5,20,20,25.83,97.5,26,86, ,3,N,5,2,112500,662400,0,0,1900,1986,0, , ,3.88,4,0,4,1,1004350013,0,32,988450,204200,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.1219816,2658.948161,549900,12,0,6662,6662,11,2475,20.24200058,20.24200058,0,20.24200058,0,222.6620064 +6663,MN,236,25,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1F,141 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,D7,4,0, ,141 MULBERRY LLC,2525,9700,1500,8200,0,1500,0,0,0,0,2,1,5,12,13,25,100.08,25,86, ,2,Y,5,2,114750,646200,0,0,1900,1985,0, , ,3.84,6.02,6,6.5,1,1002360025,0,41,984855,201166,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,251.9426826,2528.273706,531450,0,0,6663,6663,10,2250,23.4604454,24.0720005,0.611555099,23.95368938,0.236791215,239.5368938 +6664,MN,143,9,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,173 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,173 DUANE ST CORP,4513,24500,4000,20500,0,4000,0,0,0,0,2,1,6,6,11,51,90,51,87, ,3,N,5,2,450000,2030850,2360,2360,1925,1987,0,Tribeca West Historic District, ,5.43,6.02,6,6.5,1,1001430009,0,39,981529,200706,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,288.9554638,4790.100911,1580850,14,0,6664,6664,21,4725,16.87599945,16.87599945,0,16.87599945,0,354.3959885 +6665,MN,397,33,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,14 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,VILLAGE JV 201 EAST 2,3574,19412,3200,16212,0,3200,0,0,0,0,2,1,6,25,28,44.67,80,45,80,E,2,N,3,2,540000,2413800,0,0,1925,1985,2012, , ,5.43,4,0,4,1,1003970033,0,3002,988756,202316,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,252.500068,3724.372633,1873800,1,0,6665,6665,17,3825,19.55999947,20.12333298,0.563333511,19.59313673,0.132549061,333.0833244 +6666,MN,515,7502,102,49,1000,2,1,10012,L020,1,15,6800,1,2, ,149 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,52461,15056,37405,6204,8852,0,0,0,0,2,1,8,11,14,75,100.08,75,88, ,0,N,0,5,1350000,9940050,0,307716,1915,0,0,SoHo-Cast Iron Historic District, ,6.99,0,5,6.5,1,1005157502,1941,49,984341,203871,12c, ,11N 071,10206, ,1005150027,10/21/2008,1, , ,17V1.1,7,357.3290987,7769.024412,8590050,9,0,6666,6666,35,7875,20.20444489,20.20444489,0,20.20444489,0,707.155571 +6667,MN,924,58,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,314 EAST 19 STREET,R7B, , , , , , , , , ,N,M9,8,0, ,MANHATTAN MENNONITEFE,1920,4300,4300,0,0,0,0,0,0,4300,2,1,5,12,13,20.92,92,20.92,50, ,3,N,5,2,189900,387900,78232,159806,1910,1986,0, , ,2.24,3,0,3,1,1009240058,0,48,989186,207051,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,231.625827,1999.147386,198000,5,0,6667,6667,9,2025,14.83555603,19.11777687,4.28222084,15.81860489,1.440204879,142.367444 +6668,MN,254,51,103,8,6017,2,1,10002,E009,5,14,7800,1,3,1A,58 MARKET STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,29250,0,0,0,0,0,0,0,0,0,7,1,1,0,0,151.33,170.42,0,0, ,0,Y,3,5,873000,1076850,873000,1076850,0,0,0, , ,0,0,0,0,1,1002540051,0,8,985968,198408,12d, ,101N053,10106, ,0, ,1, , ,17V1.1,0,687.7309724,29371.31193,203850,16,0,6668,6668,131,29475,15.12100029,24.9011116,9.780111313,18.40369203,1.536577342,2410.883657 +6669,MN,494,7502,102,43,3006,2,1,10012,L020,5,15,6800,1,2, ,45 SPRING STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0,P,RES UNIT JONIS RLTY,2598,3654,1870,1784,0,1870,0,0,0,0,2,1,6,25,26,25.25,102.17,25.25,97, ,0,Y,5,5,369000,2512350,7080,7080,1900,1986,0, , ,1.41,6.02,6,6.5,1,1004947502,596,43,985337,202358,12c, ,101N076,10206, ,1004940043,12/31/1988,1, , ,17V1.1,7,271.5919952,2911.801837,2143350,0,0,6669,6669,13,2925,38.32888794,38.96777725,0.638889313,38.82521468,0.152868766,504.7277908 +6670,MN,643,49,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,52 GANSEVOORT STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,52-58 GANSEVOORT STRE,8125,11713,11713,0,0,5857,0,0,0,5856,2,2,2,0,3,92,87,42,88, ,3,Y,5,2,1052550,1809450,0,0,1905,2014,0,Gansevoort Market Historic District, ,1.44,0,5,6.5,1,1006430049,0,79,982300,208579,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,362.344877,8202.89222,756900,8,1,6670,6670,36,8100,11.21500015,13.33500004,2.119999886,11.31393533,0.415679764,407.301672 +6671,MN,231,37,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,447 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,ZAHAVA REALTY CORP,4974,25000,25000,0,20000,5000,0,0,0,0,2,1,5,0,6,24.92,200,25,200, ,3,N,4,2,607500,4091400,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,5.03,0,5,6.5,1,1002310037,0,47,983841,201804,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,460.8002957,4940.493353,3483900,0,0,6671,6671,23,5175,12.30000019,15.15555573,2.855555534,12.47632868,0.621327016,286.9555597 +6672,MN,611,12,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,54 CHARLES STREET,C2-6, , , , , , , , , ,N,A4,1,0, ,54 CHARLES ST LLC,1900,4960,0,4600,0,0,0,0,0,0,2,1,3,1,1,20,95,20,60, ,3,N,5,1,56690,187453,0,0,1899,0,0,Greenwich Village Historic District, ,2.61,3.44,2,6.5,1,1006110012,0,73,983540,206980,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.6083882,1850.946029,130763,8,0,6672,6672,9,2025,23.83777809,24.23999977,0.40222168,23.88246939,0.126406079,214.9422245 +6673,MN,910,20,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,231 EAST 29 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,RAMA & MANJULA L.L.C,2469,7595,595,7000,0,595,0,0,0,0,2,1,5,18,19,25,98.75,25,58, ,3,N,5,2,103050,793800,0,0,1920,1986,0, , ,3.08,4,0,4,1,1009100020,0,70,990107,209673,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,251.6764043,2454.580443,690750,10,0,6673,6673,11,2475,34.88199997,39.02999878,4.14799881,36.46018184,1.7469087,401.0620003 +6674,MN,573,24,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,36 WEST 10 STREET,R6, , , , , , , , , ,N,A5,1,0, ,36 W TENTH HOLDINGS L,1968,5844,0,5844,0,0,0,0,0,0,2,1,5,1,1,21.33,92.25,21,62, ,3,N,5,5,125653,414030,0,0,1900,2015,0,Greenwich Village Historic District, ,2.97,2.43,0,4.8,1,1005730024,0,63,985002,206676,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.3093826,1978.023872,288377,8,0,6674,6674,10,2250,18.98099899,25.41444397,6.433444977,19.70111008,1.918148206,197.0111008 +6675,MN,141,8,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,146 READE STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0, ,146 REACE ST CORP,1650,6068,1517,4551,0,1517,0,0,0,0,2,1,4,3,4,24.67,66.17,25,66, ,3,Y,5,5,36086,244238,0,0,1915,2009,0, , ,3.68,6.02,6,6.5,1,1001410008,0,39,981485,200403,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,187.3081221,1716.363534,208152,14,0,6675,6675,7,1575,16.8029995,16.8029995,0,16.8029995,0,117.6209965 +6676,MN,146,17,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,144 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0, ,DUANE STREET LLC,4770,26500,8000,18500,0,8000,0,0,0,0,2,1,5.5,3,4,40.75,116.08,41,109, ,3,Y,5,5,881282,1774094,0,0,1920,2003,0,Tribeca South Historic District, ,5.56,6.02,6,6.5,1,1001460017,0,33,982038,200177,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,326.9685562,5144.211946,892812,14,0,6676,6676,23,5175,16.87777901,20.11666679,3.238887787,17.15033929,0.883733119,394.4578037 +6677,MN,634,32,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,752 GREENWICH STREET,R6, , , , , , , , , ,N,C5,2,0, ,GREENWICH STREET REAL,6530,17332,0,17332,0,0,0,0,0,0,2,5,4,34,34,87.42,45.42,24,51, ,0,Y,3,5,427050,1943550,0,0,1910,1982,0,Greenwich Village Historic District, ,2.65,2.43,0,4.8,1,1006340032,0,75,982314,207395,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,357.8103581,6831.312271,1516500,8,0,6677,6677,33,7425,14.98200035,21.29999924,6.317998886,17.48441737,2.354829909,576.9857731 +6678,MN,404,34,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,343 EAST 10 STREET,R7A, , , ,C1-5, , , , , ,N,S4,4,0,P,PARK EAST TENTH LLC,1400,5440,1297,4143,0,1297,0,0,0,0,2,1,5,4,5,20,70,25,50.5, ,3,N,5,2,29312,68633,0,0,1900,2012,2014,East 10th Street Historic District, ,3.89,4,0,4,1,1004040034,0,34,989793,204181,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,189.7992177,1602.329553,39321,12,1,6678,6678,8,1800,12.53199959,13.74777699,1.215777397,12.68397176,0.40208058,101.4717741 +6679,MN,823,47,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,4 WEST 22 STREET,C6-4A, , , , , , , , , ,N,D6,4,0, ,DEZER PROPERTIES 4 LL,2553,29453,5000,24453,5000,0,0,0,0,0,2,1,12,11,12,26.25,98.75,26,96,E,3,N,5,2,315000,3186450,0,0,1904,0,0,Ladies' Mile Historic District, ,11.54,10,10,10,1,1008230047,0,58,986804,209219,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,257.1176312,2717.84246,2871450,7,0,6679,6679,12,2700,38.59666824,41.95555496,3.358886719,38.91185315,0.925078006,466.9422379 +6680,MN,590,88,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,31 JONES STREET,R7-2, , , , , , , , , ,N,B3,1,0, ,"POLESNY, MICHAEL",763,2050,0,1450,0,0,0,0,0,0,2,1,2.5,2,2,30.5,25,30,25,E,3,N,5,1,13261,76752,0,0,1890,1985,0,Greenwich Village Historic District Exte, ,2.69,3.44,0,6.5,1,1005900088,0,67,983402,205939,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,98.01338709,596.3353255,63491,9,0,6680,6680,3,675,19.74111176,19.74111176,0,19.74111176,0,59.22333527 +6681,MN,790,7502,104,81,4000,2,3,10011,L012,13,15,5600,1,4, ,125 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P, ,46030,343534,65387,278147,0,0,0,0,0,65387,2,2,13,275,276,224.81,206.5,224.81,206.5, ,0,Y,0,5,5069700,48871221,2322000,36091930,2001,0,0, , ,7.46,6.02,6,6.5,1,1007907502,1222,81,984903,208215,8d,Y,103 028,10305, ,1007900019,4/2/2002,1, , ,17V1.1,7,871.5841132,46875.46319,43801500,7,0,6681,6681,209,47025,27.73777771,31.84111214,4.103334427,28.47642428,1.310565976,5951.572674 +6682,MN,521,34,102,55.02,2009,2,1,10012,L009,9,15,5700,1,2,1G,316 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0, ,NEW MOTT APT CORP,2176,10985,0,10985,0,0,0,0,0,0,2,1,7,21,21,34,64,34,50, ,3,N,5,2,129150,1282950,8914,8914,1900,1988,0,Noho East Historic District, ,5.05,6.02,6,6.5,1,1005210034,0,5502,985989,203503,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,198.6111255,2220.254934,1153800,9,0,6682,6682,10,2250,43.37666702,45.27733231,1.900665283,44.0038002,0.454687694,440.038002 +6683,MN,467,47,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,229 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,K&T REALTY ASSOCIATES,2550,12024,1275,10749,0,1275,0,0,0,0,2,1,6,24,26,25.5,100,25.5,88, ,3,N,5,2,288450,1292400,0,0,1900,1961,0, , ,4.72,4,0,4,1,1004670047,0,40,987787,205595,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,260.4138428,2677.916935,1003950,12,0,6683,6683,12,2700,28.52666664,32.43999863,3.913331985,29.17722225,1.454692295,350.126667 +6684,MN,579,60,102,37,3003,2,3,10013,E024,1,15,6800,1,2,1B,50 VANDAM STREET,M1-6, , , , , ,HSQ, , , ,N,O7,5,0,P,CORP OF TRINITY CHURC,11122,23618,23618,0,23618,0,0,0,0,0,2,1,2,0,1,138.08,100,138,71, ,0,Y,5,5,598500,3340350,0,0,1900,0,0, , ,2.12,0,10,10,1,1005790060,0,37,982463,203895,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,494.9347043,12179.62598,2741850,0,0,6684,6684,55,12375,17.60700035,20.44888878,2.841888428,17.95374371,0.787710129,987.455904 +6685,MN,847,62,105,52,2002,2,2,10003,E014,13,15,5700,1,5,1O,881 BROADWAY,M1-5M,C6-4M, , , , , , , , ,Y,O6,5,0,P,BJW REALTY LLC,39775,276481,276481,0,208000,64081,0,4400,0,0,2,1,7,0,31,82.92,397,83,245, ,3,Y,3,2,13590000,48602250,0,0,1896,1985,0,Ladies' Mile Historic District, ,6.95,0,5,6.5,1,1008470062,0,52,986812,208350,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,1179.716809,41676.05217,35012200,7,0,6685,6685,187,42075,39.36555481,43.01744461,3.651889801,39.48128395,0.47033344,7383.000099 +6686,MN,615,74,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,6 JANE STREET,C1-6,R6, , , , , , , , ,Y,C0,2,0, ,JOSEPH J PETRONE,1200,3420,0,2540,0,0,0,0,0,0,2,1,3,3,3,20,60,20,40,E,3,Y,5,1,61117,196200,1550,1550,1843,1986,0,Greenwich Village Historic District, ,2.85,3.44,2,6.5,1,1006150074,0,77,983573,208144,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,164.6797139,1254.118003,135083,8,0,6686,6686,5,1125,21.74111176,22.63899994,0.897888184,21.98668938,0.350303097,109.9334469 +6687,MN,283,9,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,125 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,"Z, X & C CORP.",2542,9355,0,9355,0,0,0,0,0,0,2,1,5,24,24,25.42,100,25,72, ,3,N,5,1,135000,394650,0,0,1922,1984,0, , ,3.68,3.44,0,6.5,1,1002830009,0,6,986633,199222,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,260.2521939,2628.889,259650,16,0,6687,6687,11,2475,32.40222168,37.93777847,5.535556793,33.47268642,1.927844246,368.1995506 +6688,MN,693,56,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,542 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0,P,HELZEN ASSOCIATES,7406,1688,1688,0,0,1688,0,0,0,0,2,1,3,0,1,75,98.75,75,90, ,3,N,5,0,382500,427950,0,0,1946,1987,2004, , ,0.23,0,5,6.5,1,1006930056,0,99,982386,211665,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,355.6443532,7724.402238,45450,7,1,6688,6688,34,7650,6.691111088,6.691111088,0,6.691111088,0,227.497777 +6689,MN,913,22,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,243 EAST 32 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,243 EAST 32ND STREET,1761,3200,0,3200,0,0,0,0,0,0,2,1,3,4,4,17.83,98.75,17.83,48, ,0,N,5,5,210509,352864,0,0,1901,0,0, , ,1.82,4,0,4,1,1009130022,0,70,990523,210324,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,226.7781941,1675.408535,142355,10,0,6689,6689,7,1575,20.2159996,22.72100067,2.505001068,22.36314338,0.876567775,156.5420036 +6690,MN,805,39,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,115 WEST 29 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,"KIM, ELIZABETH YOUNGM",6994,79465,79465,0,0,6624,0,72841,0,0,2,1,12,0,15,92,87.08,92,72,E,3,Y,5,2,1017000,5897700,0,0,1913,0,0, , ,11.36,0,10,10,1,1008050039,0,95,986785,211502,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,345.3142853,7300.756322,4880700,6,0,6690,6690,32,7200,34.63499832,41.50666809,6.871669769,35.09536302,1.513629694,1123.051617 +6691,MN,419,73,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,296 BROOME STREET,C4-4A, , , , , , , , , ,N,F9,6,0,P,HARBOR HILL ASSOCIATE,5087,6050,6050,0,0,0,0,0,5050,1000,2,1,1,0,1,50,102,50,100, ,2,N,5,0,206100,426600,0,0,1989,0,0, , ,1.19,4,4,4,1,1004190073,0,18,986471,201179,12c, ,101N078,10204,E-216,1004190074,1/6/1987,1, , ,17V1.1,0,310.6076258,5201.192064,220500,13,0,6691,6691,23,5175,39.86888886,40.70499802,0.836109161,39.90524143,0.170508678,917.8205528 +6692,MN,765,59,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,228 WEST 16 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,228 WEST 16TH STREET,2581,9985,0,9985,0,0,0,0,0,0,2,1,5,17,17,25,103.25,25,84, ,3,N,5,2,159750,914850,9440,9440,1901,0,0, , ,3.87,4,0,4,1,1007650059,0,81,984173,208983,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.1699944,2567.274843,755100,7,0,6692,6692,11,2475,22.05333328,22.45222092,0.398887634,22.11696954,0.13659296,243.286665 +6693,MN,475,46,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,469 BROOME STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,GUNTHER BLDG 1873 CO,6400,34944,1500,33444,0,1500,0,0,0,0,2,2,6,10,12,100,60.33,57,99, ,3,N,3,2,405900,4118850,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,5.46,0,5,6.5,1,1004750046,0,47,983762,202511,12a, ,101N070,10206, ,0, ,1, ,1,17V1.1,0,336.558136,6693.779832,3712950,0,1,6693,6693,30,6750,9.686666489,17.15999985,7.473333359,10.73031839,2.368320339,321.9095516 +6694,MN,616,36,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,21 JANE STREET,C1-6, , , , , , , , , ,N,F9,6,0, ,"P.E. GUREIN, INC.",4627,15242,12242,3000,3000,0,0,0,9242,0,2,3,4,2,3,59.83,80.5,59.84,80.5, ,0,Y,5,5,270000,779850,0,0,1915,0,0,Greenwich Village Historic District, ,3.29,3.44,2,6.5,1,1006160036,0,77,983349,208262,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,321.6246274,5110.967306,509850,8,0,6694,6694,23,5175,21.81777763,22.01333427,0.195556641,21.8321738,0.047480379,502.1399975 +6695,MN,190,7506,101,33,3014,2,1,10013,E007,1,15,7700,3,1, ,124 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,14707,81306,13273,68033,0,12912,0,361,0,0,2,1,9,27,28,0.33,0,0,0, ,0,N,0,5,2051102,9933414,2360,2360,2000,0,0,Tribeca West Historic District, ,5.53,6.02,6,6.5,1,1001907506,2009,33,981980,201701,12a, ,11N 041,10105,E-87,1001900019,11/21/2001,1, , ,17V1.1,7,516.0728133,15352.07754,7882310,14,0,6695,6695,69,15525,15.75599957,17.08911133,1.333111763,15.83196742,0.251793405,1092.405752 +6696,MN,136,25,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,114 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,SI JIE MEI INC,3769,12823,12823,0,0,3200,0,9623,0,0,2,2,4,0,10,50,76,25,75, ,3,Y,5,2,216900,525150,0,0,1900,1985,2009,Tribeca South Historic District Extensio, ,3.4,7.52,6,7.5,1,1001360025,0,21,981910,199746,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,254.0200954,3809.865101,308250,3,0,6696,6696,17,3825,25.24200058,27.04933357,1.807332993,25.48005284,0.568811106,433.1608982 +6697,MN,473,28,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,31 CROSBY STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,ZADA ASSOCIATES LLC,2600,12283,700,11583,0,700,0,0,0,0,2,1,7,12,15,25.92,100.33,26,70, ,3,N,5,2,216900,1651950,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,4.72,0,5,6.5,1,1004730028,0,45,984442,201855,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,257.5679873,2555.508939,1435050,0,0,6697,6697,10,2250,23.06555557,25.88777733,2.822221756,23.34777775,0.846666527,233.4777775 +6698,MN,829,62,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,32 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,JUSTIN INDUST INC,2222,8476,8476,0,6826,1650,0,0,0,0,2,1,5,0,5,22.5,98.75,23,96, ,3,N,5,2,274500,1174500,0,0,1940,0,0, , ,3.81,0,10,10,1,1008290062,0,58,987179,210823,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,248.923617,2415.974842,900000,2,0,6698,6698,10,2250,42.75111008,46.56333542,3.812225342,43.13233261,1.143667603,431.3233261 +6699,MN,901,45,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,224 EAST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,APARTMENT MANAGEMENTI,3404,15989,0,15989,0,0,0,0,0,0,2,1,5,28,28,37.67,92,38,77, ,3,N,5,2,315000,2199600,0,0,1920,1988,0, , ,4.7,4,0,4,1,1009010045,0,64,988936,207747,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,266.4663708,3637.895819,1884600,5,0,6699,6699,17,3825,19.86555672,20.46000099,0.594444275,19.90052403,0.139869241,338.3089085 +6700,MN,445,35,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,53 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,53-55 FIRST AVENUE RE,2400,9216,2976,6240,0,1560,0,1416,0,0,2,1,5,7,8,24,100,24,64, ,3,N,5,2,194845,685127,0,0,1900,2003,0, , ,3.84,4,0,4,1,1004450035,0,38,987683,203410,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,252.967219,2424.620403,490282,1,0,6700,6700,11,2475,29.97444344,31.26322174,1.288778305,30.0916051,0.370497713,331.0076561 +6701,MN,350,63,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,173 ATTORNEY STREET,R8A, , , , , , , , , ,N,K1,5,0, ,"MARTY REALTY, LLC",1080,1062,1062,0,0,1062,0,0,0,0,2,1,1,0,1,18,60,18,60, ,3,N,5,2,74250,170550,0,0,1910,0,0, , ,0.98,6,0,6,1,1003500063,0,2201,988865,201941,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,160.8565235,1159.140513,96300,1,0,6701,6701,4,900,19.81333351,19.81333351,0,19.81333351,0,79.25333405 +6702,MN,563,34,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,813 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,"B & E 813 BROADWAY,LL",2517,8525,8524,0,0,2500,0,6024,0,0,2,1,4,3,4,25.17,100,25.16,97,E,3,N,5,2,337500,1433250,0,0,1930,1987,0, , ,3.39,3.44,6,6.5,1,1005630034,0,61,986609,206328,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,257.6840038,2595.617197,1095750,8,0,6702,6702,11,2475,37.07600021,37.07600021,0,37.07600021,0,407.8360024 +6703,MN,589,36,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,315 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,S4,4,0,P,321 SIXTH AVENUE PART,1800,4300,1350,2950,0,1350,0,0,0,0,2,1,4,4,5,17.92,102.92,18,86,E,3,Y,5,5,143512,298004,0,0,1920,1986,0,Greenwich Village Historic District Exte, ,2.39,3.44,0,6.5,1,1005890036,0,67,983734,205607,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,247.9076025,1905.941137,154492,9,0,6703,6703,8,1800,15.87222195,21.22222328,5.350001335,17.07702768,1.830807324,136.6162214 +6704,MN,819,22,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,29 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,29 W 17TH OWNER LLC,2300,25000,20400,4600,17900,2500,0,0,0,0,2,1,10,3,10,25,92,25,92, ,2,N,5,2,270000,1350900,0,0,1915,1987,0,Ladies' Mile Historic District, ,10.87,10,10,10,1,1008190022,0,54,986002,208424,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,251.6631204,2674.215443,1080900,7,0,6704,6704,13,2925,32.36888886,34.66822052,2.299331665,32.54576052,0.612701426,423.0948868 +6705,MN,509,16,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,284 MULBERRY STREET,C6-2,C6-3, , , , ,LI, , , ,Y,C7,4,0, ,"284 MULBERRY STREET,",3607,18682,1070,17612,0,1070,0,0,0,0,2,1,7,31,33,40,90.83,40,72, ,3,Y,5,2,173700,1402200,0,0,1910,0,0, , ,5.18,6.02,6,6.5,1,1005090016,0,43,985662,203206,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,261.3851898,3663.790487,1228500,9,0,6705,6705,17,3825,42.24222183,43.62666702,1.38444519,42.39895405,0.429602436,720.7822189 +6706,MN,494,27,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,225 MOTT STREET,C6-2, , , , , ,LI, , , ,N,K4,4,0, ,"YUNG, YIN MEI",2467,5365,2715,2650,0,2715,0,0,0,0,2,1,3,4,6,24.92,99,25,100, ,3,N,5,0,225000,760500,0,0,1900,0,0, , ,2.17,6.02,6,6.5,1,1004940027,0,43,985519,202481,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,251.5430338,2509.155482,535500,0,0,6706,6706,11,2475,38.86500168,39.2100029,0.345001221,38.89636543,0.099180878,427.8600197 +6707,MN,147,18,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,70 THOMAS STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0,P,70 THOMAS ST OWNERS C,2487,11500,0,11500,0,0,0,0,0,0,2,1,5,5,5,25,100.75,25,99, ,3,Y,5,2,416820,674429,27723,27723,1915,0,0,Tribeca South Historic District, ,4.62,6.02,6,6.5,1,1001470018,0,33,982101,200428,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,260.0823057,2549.845601,257609,14,0,6707,6707,12,2700,12.94333363,14.27666664,1.333333015,13.05444471,0.368513778,156.6533365 +6708,MN,615,2,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,303 WEST 4 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"KRISTAM, ROBERT V",1050,3200,0,2470,0,0,0,0,0,0,2,1,2.5,3,3,20,56,20,48,E,3,Y,5,1,52998,187845,52998,97303,1915,1986,0,Greenwich Village Historic District, ,3.05,2.43,0,4.8,1,1006150002,0,77,983258,207789,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,160.6401687,1268.573099,134847,8,0,6708,6708,6,1350,23.05999947,25.68222237,2.6222229,23.49703662,0.977244776,140.9822197 +6709,MN,529,7506,102,55.02,1002,2,1,10012,L009,9,15,5700,2,2, ,47 BOND STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2052,6215,2665,3550,0,0,0,2665,0,0,2,1,5,4,5,25,84.67,25,82, ,0,Y,0,5,80974,375303,2360,2360,1900,0,0,NoHo Historic District Extension, ,3.03,0,5,6.5,1,1005297506,1083,5502,986193,203716,12c, ,103 010,10207, ,1005290032,12/7/1999,1, , ,17V1.1,7,222.8413956,2171.506004,294329,9,0,6709,6709,10,2250,41.23199844,44.91666794,3.684669495,41.87223206,1.298595795,418.7223206 +6710,MN,569,1,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,43 5 AVENUE,R10,R7-2, , , , , , , , ,Y,D4,3,0, ,43 TENANTS CORP,7579,64218,0,64218,0,0,0,0,0,0,2,1,11,42,42,51.33,125,51,112,E,2,Y,3,2,823500,6153750,21240,21240,1905,1983,0,Greenwich Village Historic District, ,8.47,10,0,10,1,1005690001,0,61,985753,206694,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,468.5225607,8419.633917,5330250,8,0,6710,6710,38,8550,31.75222206,31.75222206,0,31.75222206,0,1206.584438 +6711,MN,805,7501,105,95,1000,2,3,10001,E001,14,15,5200,1,5, ,130 WEST 30 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,8155,111225,19794,91431,0,18442,0,1352,0,0,2,1,19,45,50,82.58,98.75,83,99, ,0,N,1,5,3072151,18451393,358840,3065335,1929,2003,0, ,130 WEST 30TH STREET BUILDING,13.64,0,10,10,1,1008057501,1349,95,986696,211678,8d, ,103 036,10305, ,1008050081,3/31/2004,1, , ,17V1.1,7,383.3662315,9151.408974,15379200,6,0,6711,6711,41,9225,34.63499832,38.74666595,4.111667633,35.0091041,1.139126769,1435.373268 +6712,MN,482,25,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,222 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,"CHIU, BIG YUK",2814,9140,1220,7920,0,1220,0,0,0,0,2,1,6,10,12,28,100.5,28,88,E,2,N,5,2,135000,1202850,0,0,1900,0,0, , ,3.25,0,5,6.5,1,1004820025,0,45,984891,202361,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,266.1988362,2921.151476,1067850,0,0,6712,6712,14,3150,30.94300079,37.40888977,6.465888977,31.85439737,2.232693802,445.9615631 +6713,MN,746,6,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,361 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,361 WEST 22ND ST OWNE,1852,5775,0,5775,0,0,0,0,0,0,2,1,4,6,6,18.75,98.75,19,60, ,3,N,5,1,100284,467026,2360,2360,1910,2010,2006,Chelsea Historic District Extension, ,3.12,3,0,3,1,1007460006,0,93,983924,210993,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,240.8869468,1994.294272,366742,2,0,6713,6713,9,2025,15.97222233,15.97222233,0,15.97222233,0,143.750001 +6714,MN,350,50,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,6 CLINTON STREET,R8A, , , ,C1-5, , , , , ,N,C4,2,0, ,MONPIKE CORP,2700,13045,1300,11745,0,1300,0,0,0,0,2,1,6,20,22,30,90,30,72, ,2,N,5,2,121050,1458900,0,0,1930,0,0, , ,4.83,6,0,6,1,1003500050,0,2201,988738,201968,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,246.0939467,2782.011262,1337850,1,0,6714,6714,12,2700,19.81333351,23.66111183,3.84777832,20.47546323,1.371575286,245.7055588 +6715,MN,622,25,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,95 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,MAJOR PERRY ST CORP,2376,9015,0,9015,0,0,0,0,0,0,2,1,5,20,20,25,96,25,77, ,3,Y,5,2,180000,1255500,0,0,1901,1961,0,Greenwich Village Historic District, ,3.79,3.44,2,6.5,1,1006220025,0,73,982757,207217,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,239.9491596,2265.602386,1075500,8,0,6715,6715,10,2250,22.42000008,22.42000008,0,22.42000008,0,224.2000008 +6716,MN,742,3,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,132 9 AVENUE,C2-6A, , , , , , , , , ,N,S5,4,0, ,132 NINTH AVENUE LIMI,1760,3900,900,3000,0,900,0,0,0,0,2,1,4,6,7,22,80,22,80,E,3,N,5,2,73985,285610,0,0,1900,1968,0, , ,2.22,4,2,4,1,1007420003,0,89,983388,210168,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,201.1995778,1670.45925,211625,7,0,6716,6716,8,1800,15.59444427,15.59444427,0,15.59444427,0,124.7555542 +6717,MN,836,33,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,1 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,O6,5,0, ,JACOB'S FIRST,5588,55550,55550,0,50250,5300,0,0,0,0,2,1,12,0,41,50,111.75,50,112,E,3,N,5,2,2416500,15855750,0,0,1906,1989,0, , ,9.94,10,15,15,1,1008360033,0,76,988424,212128,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,339.7967798,5989.961192,13439300,10,0,6717,6717,27,6075,49.62900162,52.39999771,2.770996094,49.78798902,0.587253521,1344.275703 +6718,MN,277,22,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,31 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,31-33 MARKET REALTY C,4400,22020,3400,18620,0,3400,0,0,0,0,2,1,6,22,24,50,88,50,76, ,2,N,5,2,258300,1301850,0,0,1910,1983,0, , ,5,3.44,0,6.5,1,1002770022,0,8,985728,198886,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,283.6049601,4594.25469,1043550,16,0,6718,6718,21,4725,26.91300011,26.91300011,0,26.91300011,0,565.1730022 +6719,MN,880,80,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,118 EAST 25 STREET,C6-2A, , , , , , , , , ,N,O9,5,0, ,118-25 OWNERS CORP,4115,49020,28116,20904,23940,4176,0,0,0,0,2,1,12,1,13,41.67,98.75,41.27,91.5,E,3,N,5,2,904500,4365900,0,0,1912,1983,0, , ,11.91,6.02,6,6.5,1,1008800080,0,68,988523,209196,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,292.7258232,4371.622991,3461400,11,0,6719,6719,21,4725,29.2211113,32.36333084,3.142219543,29.637037,1.020747139,622.3777771 +6720,MN,592,54,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,158 WAVERLY PLACE,R6, , , , , , , , , ,N,C6,2,0, ,158 WAVERLY OWNRS COR,2315,6856,0,6856,0,0,0,0,0,0,2,1,4,4,4,23.92,97.08,24,79,E,3,N,5,2,155611,427458,7080,7080,1910,1986,0,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005920054,0,71,983879,206437,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,243.4851586,2305.989452,271847,9,0,6720,6720,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +6721,MN,855,7501,105,56,1004,2,2,10010,E016,13,15,5700,1,5, ,43 EAST 25 STREET,C5-3, , , , , , , , , ,N,RM,4,0,P,THE STANFORD CONDOMIN,9890,116577,26900,89677,25700,1200,0,0,0,0,2,1,41,119,127,100,99,0,0, ,0,N,5,5,2331451,19211854,86169,118170,1987,0,0, , ,11.79,10,15,15,1,1008557501,300,56,988084,209616,8d, ,104 004,10306, ,1008550008,1/7/1987,1, , ,17V1.1,7,405.3552853,10266.39505,16880400,11,0,6721,6721,45,10125,35.47700119,37.45555496,1.978553772,36.05278846,0.719697882,1622.375481 +6722,MN,619,68,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2K,184 WEST 10 STREET,C4-5,R6, , , , , , , , ,Y,C4,2,0, ,184 W 10 ST CORP,2668,12500,2500,10000,0,2500,0,0,0,0,2,1,5,16,17,26.42,101,26,101,E,2,Y,3,0,405000,2423250,0,0,1901,1986,0,Greenwich Village Historic District, ,4.69,3.44,3.4,6.5,1,1006190068,0,73,983366,206735,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,261.0439965,2907.502863,2018250,9,0,6722,6722,12,2700,23.46111107,25.85666656,2.395555496,24.17527787,1.013764006,290.1033344 +6723,MN,145,7502,101,21,1000,2,1,10007,E007,1,15,7700,3,1, ,113 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,OWNER / AGENT,3785,16953,5186,11767,0,5186,0,0,0,0,2,1,6,8,9,25,151,0,0, ,0,Y,5,5,448148,1415371,11800,11800,1915,0,0,Tribeca South Historic District, ,4.48,7.52,6,7.5,1,1001457502,468,21,981989,199905,12b, ,101S017,10104, ,1001450006,12/16/1987,1, , ,17V1.1,7,368.2566978,4111.279861,967223,14,0,6723,6723,18,4050,21.27222252,21.32377815,0.051555634,21.27508672,0.011809407,382.951561 +6724,MN,618,26,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,212 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,C7,4,0,P,212 WEST 14TH STREETR,3300,9750,1850,7900,0,1850,0,0,0,0,2,1,5,8,9,25,131.5,25,74, ,3,N,5,2,166160,677680,0,0,1915,0,0, , ,2.95,6.02,6,6.5,1,1006180026,0,77,984031,208392,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,318.5636152,3476.126534,511520,8,0,6724,6724,16,3600,22.30444527,25.27111053,2.966665268,22.92187548,1.087079694,366.7500076 +6725,MN,802,14,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,147 WEST 26 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,JUSTATONE BUILDING IN,3044,16476,16476,0,0,2000,0,14476,0,0,2,1,6,0,6,30.83,98.75,31,88, ,3,N,5,2,513000,1651050,0,0,1925,1988,0, , ,5.41,0,10,10,1,1008020014,0,95,986192,210958,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,262.0858037,3001.103139,1138050,2,0,6725,6725,12,2700,32.50999832,38.20000076,5.690002441,32.98416519,1.572633596,395.8099823 +6726,MN,385,18,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,226 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,BENCHMARK E 3RD LLC,2623,8385,450,7935,0,450,0,0,0,0,2,2,5,14,17,24.75,105.92,25,50, ,2,N,5,5,90000,488250,0,0,1900,1994,2007, , ,3.2,4,0,4,1,1003850018,0,2202,989178,202357,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,266.5308073,2697.440336,398250,1,0,6726,6726,12,2700,16.86222267,18.56666565,1.704442978,17.111667,0.564187534,205.340004 +6727,MN,486,19,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,81 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,81 GREENE ST CP,2500,10991,1760,9231,0,1760,0,0,0,0,2,1,5,7,8,25,100,25,100,E,3,N,5,2,166643,533360,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.4,0,5,6.5,1,1004860019,0,49,984037,202940,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,258.5633675,2671.648471,366717,0,0,6727,6727,11,2475,11.1744442,22.97888947,11.80444527,12.24757559,3.393539414,134.7233315 +6728,MN,821,71,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,48 WEST 20 STREET,C6-4A, , , , , , , , , ,N,K4,4,0,P,HAJDAR HOLDING LTD,2392,8000,8000,0,4550,3450,0,0,0,0,2,1,5,0,5,25,92,25,74,E,3,Y,5,0,112500,661950,0,0,1910,2010,0,Ladies' Mile Historic District, ,3.34,10,10,10,1,1008210071,0,54,986030,209078,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,248.7844436,2528.751417,549450,7,0,6728,6728,12,2700,32.91555405,36.20000076,3.284446716,33.4116656,1.116432345,400.9399872 +6729,MN,876,30,106,50,1000,2,2,10010,E005,13,14,5300,1,6,1B,256 3 AVENUE,C1-9A, , , , , , , , , ,N,S3,4,0, ,"256 H.M., LLC",1725,4729,1100,3629,0,1100,0,0,0,0,2,1,4,3,4,23,75,23,72,E,3,N,5,5,205275,479297,0,0,1910,0,0, , ,2.74,10,2,10,1,1008760030,0,50,988554,207971,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,204.5211578,1873.540016,274022,5,0,6729,6729,8,1800,24.27599907,25.54177856,1.265779495,24.57538819,0.519677917,196.6031055 +6730,MN,741,1,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,108 9 AVENUE,C2-6A, , , , , , , , , ,N,C7,4,0,P,110 NINTH AVENUE CORP,2633,12197,2400,9797,0,2400,0,0,0,0,2,1,5,17,19,26.33,100,26,100, ,2,N,3,2,157500,1651950,0,0,1910,1986,0, , ,4.63,4,2,4,1,1007410001,0,83,983254,209910,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,257.2355189,2802.99147,1494450,7,0,6730,6730,13,2925,15.59444427,15.59444427,0,15.59444427,0,202.7277756 +6731,MN,496,40,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,75 SPRING STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,GREYSTONE REALTY SPRI,5562,54800,54800,0,44200,5600,0,5000,0,0,2,1,9,0,10,50.5,112.17,50.5,112, ,2,Y,3,2,1251000,11097900,0,0,1900,2005,2015,SoHo-Cast Iron Historic District Extensi, ,9.85,0,5,6.5,1,1004960040,0,43,984893,202604,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,338.6439153,6222.19046,9846900,0,0,6731,6731,29,6525,32.89333344,34.36800003,1.474666595,34.14793107,0.434902618,990.2900009 +6732,MN,173,7502,101,33,1006,2,1,10013,L001,1,15,7700,3,1, ,65 WORTH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,73 WORTH STREET ACQUI,15683,99735,32901,66834,0,32901,0,0,0,0,2,1,7,30,32,175.16,75,175,85, ,0,Y,3,5,2821500,13838855,14160,14160,1920,0,0,Tribeca East Historic District, ,6.36,6.02,6,6.5,1,1001737502,1434,33,982673,200519,12a, ,11S 033,10105, ,1001730010,7/21/2005,1, , ,17V1.1,7,560.2195308,16326.8825,11017400,14,0,6732,6732,73,16425,21.61333275,24.26555443,2.65222168,21.64966455,0.308285578,1580.425512 +6733,MN,400,31,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,542 EAST 5 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,D6,4,0, ,62-74 AVENUE B RETAIL,14076,71334,5100,66234,0,5100,0,0,0,0,2,1,6,81,83,120,143.83,81,144, ,2,Y,7,2,900000,9649800,0,0,1970,1987,2012, , ,5.07,4,0,4,1,1004000031,0,32,989092,202979,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,540.9897628,16935.37,8749800,1,0,6733,6733,75,16875,15.8922224,18.78222275,2.890000343,16.30220749,0.800101216,1222.665562 +6734,MN,622,47,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,260 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"MADOFF, ERIC",1870,3344,0,2508,0,0,0,0,0,0,2,1,3,1,1,22.08,84.58,22.08,38.67, ,2,Y,5,1,45396,240924,4140,4140,1899,2005,0,Greenwich Village Historic District, ,1.79,2.43,0,4.8,1,1006220047,0,73,983205,207406,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,224.7314162,1982.67915,195528,8,0,6734,6734,9,2025,24.5988884,28.04333305,3.444444656,25.44291306,0.93780271,228.9862175 +6735,MN,552,66,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,75 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,S4,4,0, ,"AIDAN BROWNSTONE, LLC",2144,4281,1000,3281,0,1000,0,0,0,0,2,1,4,4,5,22,97.17,22,46, ,3,N,5,5,226532,474375,0,0,1900,0,0,Greenwich Village Historic District, ,2,3.44,0,6.5,1,1005520066,0,65,984359,206007,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,236.1871002,2031.353895,247843,9,0,6735,6735,8,1800,17.50333405,17.50333405,0,17.50333405,0,140.0266724 +6736,MN,779,27,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,221 WEST 29 STREET,M1-6D, , , , , , , , , ,N,D6,4,0, ,29 PARK LLC,2312,105337,4471,100866,0,671,3800,0,0,0,2,1,21,95,96,23.42,98.75,69.84,98.75, ,3,N,5,0,283050,3138686,0,0,2014,0,0, , ,45.56,10,10,10,1,1007790027,0,95,985992,211953,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,250.395173,2389.881064,2855640,6,0,6736,6736,11,2475,32.28777695,33.66222,1.374443054,32.94454471,0.460139773,362.3899918 +6737,MN,609,14,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,148 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,148 W REALTY LLC,2581,7605,1521,6084,0,1521,0,0,0,0,2,1,5,24,26,25,103.25,25,48,E,3,N,5,2,234000,644850,0,0,1900,1986,0, , ,2.95,6.02,6,6.5,1,1006090014,0,71,984475,208161,8d, ,103 027,10209, ,0, ,1, , ,17V1.1,0,262.4613004,2721.22906,410850,8,0,6737,6737,12,2700,25.65555573,25.65555573,0,25.65555573,0,307.8666687 +6738,MN,552,67,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,77 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,C1,2,0, ,WASHINGTON PLACE REAL,2144,6542,0,6542,0,0,0,0,0,0,2,1,5,8,8,22,97.17,22,88, ,3,N,5,2,125678,470611,0,0,1900,1983,0,Greenwich Village Historic District, ,3.05,3.44,0,6.5,1,1005520067,0,65,984341,206019,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,240.1860453,2225.691966,344933,9,0,6738,6738,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +6739,MN,742,46,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,312 WEST 19 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"JOHNSON , NADINE POLE",1120,3040,0,2432,0,0,0,0,0,0,2,1,4,2,2,16.17,70,16.17,38, ,3,Y,5,1,28142,103744,0,0,1920,0,0, , ,2.71,3,0,3,1,1007420046,0,89,983949,209963,8b,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,175.6493108,1223.81375,75602,7,0,6739,6739,5,1125,15.59444427,15.59444427,0,15.59444427,0,77.97222137 +6740,MN,741,67,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,112 9 AVENUE,C2-6A, , , , , , , , , ,N,D7,4,0,P,SP 364 W 18 LLC,13506,57706,9000,48706,0,9000,0,0,0,0,2,1,6,64,66,131.33,100,131,90, ,2,N,3,2,796500,5351850,0,0,1938,0,0, , ,4.27,4,2,4,1,1007410067,0,83,983308,210006,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,471.4170462,13598.9798,4555350,7,0,6740,6740,60,13500,15.59444427,16.45555496,0.861110687,15.6614387,0.222493326,939.6863222 +6741,MN,592,72,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,109 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,W2,8,0, ,KERWAY REALTY,5238,20580,20580,0,0,0,0,0,0,20580,2,1,5,0,1,54,97,54,97, ,3,N,5,2,697500,1808550,0,0,1911,1989,0,Greenwich Village Historic District, ,3.93,2.43,0,4.8,1,1005920072,0,71,983999,206241,12c,Y,103 017,10208, ,0, ,1, , ,17V1.1,0,316.2996275,5818.52203,1111050,9,0,6741,6741,26,5850,17.50333405,17.84444427,0.341110229,17.51645367,0.065598121,455.4277954 +6742,MN,570,19,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,28 EAST 13 STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,28 EAST 13TH STREET L,1088,3128,2346,782,0,1564,0,0,0,782,2,1,3,1,2,23.08,56,23.08,34, ,3,Y,5,2,292500,679950,0,0,1899,2009,0, , ,2.88,3.44,6,6.5,1,1005700019,0,61,986217,206924,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,167.5458212,1254.401286,387450,8,0,6742,6742,5,1125,33.2820015,33.2820015,0,33.2820015,0,166.4100075 +6743,MN,53,36,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,106 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,C7,4,0,P,106 GREENWICH LLC,2796,10950,2400,8550,0,2400,0,0,0,0,2,1,5,16,18,27.33,94.42,27,79, ,3,Y,5,2,270000,1425600,0,0,1900,0,0, , ,3.92,10,15,15,1,1000530036,0,13,980461,197418,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,291.299124,2895.761707,1155600,15,1,6743,6743,14,3150,7.869999886,7.869999886,0,7.869999886,0,110.1799984 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,LIN AS TO A 50% INTE,2500,0,0,0,0,0,0,0,0,0,7,1,0,0,0,25,100,0,0, ,0,N,5,5,329850,329850,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002800014,0,8,985471,199095,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.1525536,2613.529286,0,16,0,6746,6746,11,2475,30.50600052,33.40222168,2.896221161,32.22141387,0.790937944,354.4355526 +6747,MN,449,54,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,55 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LOZYNSKYJ ASKOLD S,2438,9025,0,9025,0,0,0,0,0,0,2,1,5,15,15,25,97.5,25,81, ,3,N,5,2,174600,533250,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3.7,4,0,4,1,1004490054,0,38,987809,204441,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,248.4717568,2422.366066,358650,12,0,6747,6747,11,2475,25.48777771,30.38999939,4.90222168,25.93343423,1.409289646,285.2677765 +6748,MN,717,39,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,159 9 AVENUE,R8,R7B, , ,C2-5, , , , , ,Y,S3,4,0, ,NENZI RLTY CP,2627,6032,1500,4532,0,1500,0,0,0,0,2,1,4,3,4,26.25,100,26,94,E,2,N,5,5,262134,606634,0,0,1920,1968,0,Chelsea Historic District, ,2.3,6.02,0,6.5,1,1007170039,0,89,983358,210503,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,265.8264175,2895.438713,344500,7,1,6748,6748,12,2700,9.621110916,16.22333336,6.602222443,10.9938794,2.440021726,131.9265528 +6749,MN,310,30,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,31 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,"31 ESSEX STREET,",2450,12418,1700,10718,0,1700,0,0,0,0,2,1,6,16,17,25,87.5,25,75, ,3,Y,5,2,166500,584100,0,0,1910,1983,2006, , ,5.07,6.02,6,6.5,1,1003100030,0,16,987060,200127,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,257.3568332,2693.358505,417600,13,0,6749,6749,10,2250,34.98799896,34.98799896,0,34.98799896,0,349.8799896 +6750,MN,716,12,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,445 WEST 18 STREET,R8A, , , , , , , , , ,N,B1,1,0, ,INMACULADA DE HABSBUR,1533,1956,0,1956,0,0,0,0,0,0,2,1,3,2,2,16.67,92,16.67,40, ,3,N,5,2,38453,111831,1550,1550,1920,0,0, , ,1.28,6,0,6,1,1007160012,0,89,982779,210491,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,224.3234897,1630.557609,73378,7,1,6750,6750,8,1800,9.675999641,10.69444466,1.018445015,9.963833094,0.387153873,79.71066475 +6751,MN,448,28,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,111 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,BOGDAN ZAWISNY,1555,5710,1142,4568,0,1142,0,0,0,0,2,1,5,8,10,24.25,72,24,51,E,3,Y,5,2,64999,216853,0,0,1900,1988,0, , ,3.67,4,0,4,1,1004480028,0,38,988099,204124,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,202.6955069,1780.519804,151854,12,0,6751,6751,8,1800,26.80055618,27.24222183,0.441665649,27.12459755,0.125468928,216.9967804 +6752,MN,646,32,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,418 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,"PONTE GADEA NEW YORK,",7743,55170,55170,0,38583,16587,0,0,0,0,2,1,6,0,9,75,103.25,75,103,E,3,N,5,2,697500,15671700,0,1260000,1900,1929,2001,Gansevoort Market Historic District, ,7.13,0,5,6.5,1,1006460032,0,79,982440,209287,8b, ,103 039,10210, ,1006460032,12/10/2008,1, , ,17V1.1,0,360.3223916,7906.472936,14974200,8,1,6752,6752,35,7875,12.05555534,12.05555534,0,12.05555534,0,421.944437 +6753,MN,16,1,101,317.04,4001,2,1,10280,L015,1,15,8900,1,1, ,22 BATTERY PLACE,C6-4, , , , , ,LM, , , ,N,K2,5,0,C,NYC DSBS,83100,28732,28732,0,0,28732,0,0,0,0,2,1,3,0,1,77,293,40,323, ,1,Y,5,0,3253500,7094700,3253500,7094700,1910,2012,0, ,"PIER A, BATTERY PARK",0.35,10,10,10,1,1000160001,0,31704,979250,195800,12b, ,101S088,10101, ,0, ,1,1,1,17V1.1,0,1864.165863,32089.80624,3841200,15,1,6753,6753,102,22950,0,10.63222218,10.63222218,0.201960788,1.428835939,20.60000038 +6754,MN,107,28,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1, ,254 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,D6,4,0,P,"FRONT APARTMENTS, LLC",5499,31715,4100,27615,0,4100,0,0,0,0,2,1,8,40,41,69.58,71.75,65,70, ,3,Y,3,2,1694700,4685400,0,2555430,2010,0,0,South Street Seaport Historic District, ,5.77,6.02,6,6.5,1,1001070028,0,1501,984038,197371,12d, ,101S023,10103, ,1001070028,3/5/2013,1,1,1,17V1.1,0,324.7960264,5972.718229,2990700,4,1,6754,6754,26,5850,5.993332863,7.867777824,1.874444962,6.197563832,0.445642006,161.1366596 +6755,MN,718,98,104,89,4001,2,3,10011,E003,10,15,5600,1,4,1B,419 WEST 20 STREET,R7B, , , , , , , , , ,N,W7,8,0, ,3 CHELSEA SQUARE NORT,1738,5264,5264,0,0,0,0,0,0,5264,2,1,0,0,1,34.66,68.54,0,0, ,3,N,5,2,152550,524250,0,0,1827,0,0,Chelsea Historic District, ,3.03,3,0,3,1,1007180098,0,89,983269,210759,8b, ,103 042,10302, ,1007180001,3/29/2011,1, , ,17V1.1,0,206.3992273,1737.4816,371700,7,0,6755,6755,9,2025,13.44200039,19.58444405,6.142443657,14.15772862,1.920899067,127.4195576 +6756,MN,906,35,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,242 EAST 26 STREET,C1-8A, , , , , , , , , ,N,C4,2,0, ,"EMGE 2, INC.",1480,3200,0,3200,0,0,0,0,0,0,2,1,3,4,4,20,74,20,52, ,3,N,5,5,150094,259619,0,0,1920,0,0, , ,2.16,7.52,2,7.5,1,1009060035,0,66,989771,208813,8d, ,104 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,17V1.1,0,262.4901154,2935.564279,601650,16,0,6758,6758,12,2700,17.59499931,19.46166611,1.866666794,17.80773083,0.533239896,213.69277 +6759,MN,749,17,104,93,1000,2,3,10001,L024,10,15,5200,1,4,2A,341 WEST 25 STREET,R8, , , , , , , , , ,N,M1,8,0, ,RC CHUR OF ST COLUMBU,12838,31797,31797,0,0,0,0,0,0,31797,2,1,1,0,3,130,98.75,130,96, ,3,N,5,2,1444500,3349800,0,0,1927,1986,0, , ,2.48,6.02,0,6.5,1,1007490017,0,93,984557,211566,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,477.7294454,14126.16389,1905300,2,0,6759,6759,62,13950,24.09000015,25.89222145,1.802221298,24.20134418,0.356684476,1500.483339 +6760,MN,592,63,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,138 WAVERLY PLACE,R6, , , , , , , , , ,N,M4,8,0,X,FRIARS OF ATONEMENT I,2177,7801,7801,0,7801,0,0,0,0,0,2,1,4,0,1,22.42,97,22.5,80,E,2,N,5,2,344250,660150,344250,660150,1920,0,0,Greenwich Village Historic District, ,3.58,2.43,0,4.8,1,1005920063,0,71,984053,206324,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,241.3108883,2199.156536,315900,9,0,6760,6760,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +6761,MN,78,42,101,15.02,1002,2,1,10038,E006,1,15,7700,1,1,1B,88 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,O5,5,0,P,88 NASSAU STREET,927,3900,3900,0,3000,900,0,0,0,0,2,1,5,0,2,18,51.52,18,52, ,3,Y,5,2,160200,461250,0,0,1910,2011,0, , ,4.21,10,15,15,1,1000780042,0,1502,982098,197952,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,141.6799595,950.6669582,301050,4,0,6761,6761,4,900,34.06200027,34.51377869,0.451778412,34.17494488,0.195625791,136.6997795 +6762,MN,715,1,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,457 WEST 17 STREET,C6-3, , , , , ,WCH, , , ,N,C7,4,0,P,HIGHLINE PROPERTIES L,2050,9719,1950,7769,0,1950,0,0,0,0,2,1,5,12,13,20.5,100,23,98, ,3,N,3,2,94500,1817550,0,0,1900,1984,0, , ,4.74,7.52,6,10,1,1007150001,0,83,982466,210343,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,250.6974297,2268.316871,1723050,7,1,6762,6762,11,2475,10.86555576,11.21000004,0.344444275,11.17868692,0.099020767,122.9655561 +6763,MN,552,46,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,124 WAVERLY PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0,P,"OPPENHEIMER, MICHAEL",2138,4804,602,4202,0,602,0,0,0,0,2,2,4,4,5,22,97.17,22,52, ,3,N,5,5,149123,313258,2360,2360,1930,0,0,Greenwich Village Historic District, ,2.25,3.44,0,6.5,1,1005520046,0,65,984320,206151,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,247.4336634,2269.529189,164135,9,0,6763,6763,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +6764,MN,832,37,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,3 WEST 30 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,R.T.H. REALTY CORP.,2469,10595,10595,0,8495,2100,0,0,0,0,2,1,5,0,6,25,98.75,25,97,E,3,N,5,2,310500,640350,0,0,1910,0,0, , ,4.29,0,10,10,1,1008320037,0,76,987892,211195,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,250.5134349,2402.200709,329850,10,0,6764,6764,11,2475,41.02666855,41.02666855,0,41.02666855,0,451.293354 +6765,MN,898,9,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,209 EAST 17 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,ALCALAY HENRY,2116,5180,0,3885,0,0,0,0,0,0,2,1,3,2,2,23,92,23,55, ,3,N,5,1,87420,186324,1550,1550,1901,0,0,Stuyvesant Square Historic District, ,2.45,3,0,3,1,1008980009,0,48,988410,207093,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,238.9316913,2244.324264,98904,5,0,6765,6765,9,2025,22.7840004,27.86000061,5.076000214,24.36382739,2.239655874,219.2744465 +6766,MN,390,54,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,203 EAST 7 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,"DELILLO, JOHN",1950,5446,0,5446,0,0,0,0,0,0,2,1,4,4,4,20,97.5,0,0, ,0,N,5,5,72503,453196,0,0,2001,0,0, , ,2.79,4,0,4,1,1003900054,0,2602,989785,203346,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.8396061,2119.98465,380693,12,1,6766,6766,9,2025,9.445555687,9.637777328,0.192221642,9.466913647,0.060409434,85.20222282 +6767,MN,899,40,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,222 EAST 19 STREET,R7-2, , , , , , , , , ,N,D6,4,0, ,MISSIONARY SISTERS ET,11590,87960,10575,77385,6825,0,3750,0,0,0,2,1,12,102,106,126.83,92,127,79, ,3,N,5,2,967500,9020700,887613,8390460,1963,1984,0, , ,7.59,3.44,0,6.5,1,1008990040,0,48,988715,207312,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,431.8066772,11481.51313,8053200,5,0,6767,6767,51,11475,20.82333374,24.13666725,3.313333511,21.23879769,0.983654289,1083.178682 +6768,MN,281,14,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,32 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O6,5,0, ,JSM PROPERTIES INC,1769,11801,11801,0,8431,3370,0,0,0,0,2,1,7,0,24,25.21,70.25,25,66, ,3,Y,5,2,198450,886050,0,0,1900,0,0, , ,6.67,3.44,6,6.5,1,1002810014,0,8,985222,199308,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,197.5246569,1847.824114,687600,16,0,6768,6768,8,1800,35.10200119,35.10200119,0,35.10200119,0,280.8160095 +6769,MN,516,37,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,450 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K1,5,0, ,BLDG PRINCE LLC,3160,6050,6050,0,0,6050,0,0,0,0,2,1,1,0,1,32,75,32,75, ,0,N,5,5,630000,1374300,0,0,2000,0,0,SoHo-Cast Iron Historic District Extensi, ,1.91,0,5,6.5,1,1005160037,0,49,983984,203815,12c,Y,101N071,10206, ,1005160037,12/27/2001,1, , ,17V1.1,0,254.5009089,3208.011374,744300,9,0,6769,6769,12,2700,17.67111206,18.73188972,1.060777664,17.7595102,0.293183458,213.1141224 +6770,MN,441,12,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4Q,414 EAST 14 STREET,C1-6A, , , , , , , , , ,N,M3,8,0, ,CH OF IMMACULATE CNCE,4225,14320,14320,0,0,0,0,0,0,14320,2,1,4,0,0,65,65,65,65, ,0,N,5,5,387000,922500,0,0,1920,0,0, ,CLERGY HOUSES OF THE CHURCH OF THE,3.39,4,2,4,1,1004410012,0,34,989247,205540,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,260.8711073,4249.231936,535500,12,0,6770,6770,18,4050,16.39666748,19.31500053,2.918333054,17.56891971,0.837706616,316.2405548 +6771,MN,224,24,101,39,1008,2,1,10013,L008,1,15,7700,1,1,3B,451 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,WASHINGTON B C STUDIO,4969,29600,4300,25300,0,4300,0,0,0,0,2,1,6,6,7,50,100.25,50,94, ,3,N,3,2,774652,1997580,2360,2360,1915,1979,0, ,FLEMING SMITH WAREHOUSE,5.96,6.02,6,6.5,1,1002240024,0,39,981486,203044,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,307.7075539,5263.461155,1222930,0,1,6771,6771,25,5625,8.210000038,9.387778282,1.177778244,8.35317337,0.371504423,208.8293343 +6772,MN,548,21,102,59,3001,2,1,10003,E033,6,15,5700,1,2,2A,25 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,3300,30042,30042,0,0,0,0,0,0,30042,2,1,9,0,2,33.5,100.67,33.5,100.67, ,3,N,3,2,495000,2615850,495000,2615850,1900,0,0, , ,9.1,3.44,0,6.5,1,1005480021,0,59,985694,205450,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,283.9204618,3809.969731,2120850,9,0,6772,6772,18,4050,33.25299835,34.07866669,0.825668335,33.33443048,0.23239186,600.0197487 +6773,MN,823,35,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,5 WEST 21 STREET,C6-4A, , , , , , , , , ,N,C5,2,0, ,"PELI, DANIEL",2742,7545,2400,5145,0,2400,0,0,0,0,2,1,5,4,5,25,98.75,25,97,E,2,N,5,5,264592,536538,0,0,1910,1988,0,Ladies' Mile Historic District, ,2.75,10,10,10,1,1008230035,0,58,986732,209143,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,250.0993133,2501.228005,271946,7,0,6773,6773,12,2700,38.59666824,42.91110992,4.314441681,39.3415753,1.424593223,472.0989037 +6774,MN,779,62,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,234 WEST 30 STREET,M1-6D, , , , , , , , , ,N,K2,5,0, ,GROKASH REALTY ASSOCI,2313,3800,3800,0,1600,2200,0,0,0,0,2,1,2,0,2,23.42,98.75,23,99,E,3,N,5,2,180000,934200,0,0,1926,0,0, , ,1.64,10,10,10,1,1007790062,0,95,985876,212134,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,255.9560253,2461.971848,754200,6,0,6774,6774,10,2250,31.05999947,31.95444489,0.894445419,31.14944401,0.268333626,311.4944401 +6775,MN,740,19,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,323 WEST 16 STREET,R8B, , , , , , , , , ,N,D0,3,0, ,WEST 16 STREET TENANT,4594,23650,7000,16650,0,0,0,0,0,7000,2,1,6,10,12,75,61.25,75,61, ,3,Y,5,2,269100,2152800,30968,30968,1902,1984,0, , ,5.15,4,0,4,1,1007400019,0,83,983529,209498,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,273.6175132,4604.067411,1883700,7,0,6775,6775,20,4500,15.59444427,16.89577866,1.301334381,15.65951099,0.283619253,313.1902199 +6776,MN,716,7503,104,89,3001,2,3,10011,E003,10,15,5600,1,4, ,447 WEST 18 STREET,R8A, , , , , , , , , ,N,R4,3,0, , ,6134,70730,0,70730,0,0,0,0,0,0,2,1,12,46,46,66.67,92,0,0, ,0,N,5,5,543596,11988000,0,2201680,2007,0,0, , ,11.53,6,0,6,1,1007167503,1871,89,982721,210523,8b, ,103 041,10302, ,1007160009,5/30/2008,1, ,1,17V1.1,7,424.192916,11124.07272,11444400,7,1,6776,6776,50,11250,9.675999641,11.38333321,1.707333565,10.02809086,0.539710882,501.4045429 +6777,MN,468,11,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,204 EAST 13 STREET,C6-2A, , , , , , , , , ,N,S3,4,0, ,99-105 THIRD AVENUERE,1771,5520,1380,4140,0,1380,0,0,0,0,2,1,4,3,4,23,77,23,60, ,0,N,5,5,42904,79944,0,0,1800,0,0, , ,3.12,6.02,6,6.5,1,1004680011,0,40,987752,206058,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,207.0579494,1857.569921,37040,12,0,6777,6777,8,1800,28.72333336,36.84999847,8.126665115,29.7391665,2.68764186,237.913332 +6778,MN,612,38,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,37 CHARLES STREET,R6, , , , , , , , , ,N,C5,2,0, ,"BROSER, LORIE",1584,3132,0,3132,0,0,0,0,0,0,2,1,3,8,8,16.67,95,16.67,47, ,3,N,5,2,86502,433610,0,0,1875,2013,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1006120038,0,73,983488,207112,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.3011952,1691.757846,347108,8,0,6778,6778,7,1575,24.50222206,25.2211113,0.718889236,24.62142863,0.246562126,172.3500004 +6779,MN,440,11,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,406 EAST 13 STREET,R7A, , , ,C1-5, , , , , ,N,S1,4,0, ,406 PROPERTIES LLC,1140,3940,1300,2640,0,1300,0,0,0,0,2,1,3,1,2,19.83,66.67,19.83,66.67, ,3,Y,5,5,51574,64468,0,0,1899,2003,2005, , ,3.46,4,0,4,1,1004400011,0,34,989034,205358,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,166.2725782,1241.337978,12894,12,0,6779,6779,6,1350,16.59444427,16.91511154,0.320667267,16.64788882,0.119505634,99.88733292 +6780,MN,445,3,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,58 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,EIS AARON,2100,4725,945,3780,0,945,0,0,0,0,2,1,5,3,4,21,100,21,97,E,3,N,5,5,112109,166810,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.25,4,0,4,1,1004450003,0,38,987185,203657,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,245.7699799,2115.3576,54701,1,0,6780,6780,9,2025,29.97444344,35.15777969,5.183336258,30.55036969,1.62896543,274.9533272 +6781,MN,426,21,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,11 STANTON STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,9-11 STANTON STREET R,2500,9795,1450,8345,0,1450,0,0,0,0,2,1,5,18,19,25,100,25,85, ,3,N,5,2,272250,1169100,0,0,1900,1989,0, , ,3.92,3.44,6,6.5,1,1004260021,0,3601,986343,202472,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,257.4020161,2631.603398,896850,13,0,6781,6781,11,2475,41.51444626,44.07888794,2.564441681,41.74757732,0.737225149,459.2233505 +6782,MN,925,28,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,349 EAST 19 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,SCHAD BRENDA J,1840,4000,0,4000,0,0,0,0,0,0,2,1,3,2,2,20,92,20,50, ,3,N,5,1,71946,165888,1550,1550,1910,0,0, , ,2.17,3,0,3,1,1009250028,0,64,989528,207032,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.7133158,1926.961921,93942,5,0,6782,6782,8,1800,15.27999973,17.9822216,2.70222187,16.36930537,1.137137897,130.954443 +6783,MN,816,79,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,544 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,O5,5,0,P,DEG REALTY LLC,1760,5900,5900,0,4400,1500,0,0,0,0,2,1,5,0,7,22,80,22,74,E,3,N,5,2,146250,1138950,0,0,1920,0,0, , ,3.35,6.02,6,6.5,1,1008160079,0,54,985297,208044,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,208.2358616,1806.587885,992700,7,0,6783,6783,8,1800,28.19599915,28.30866623,0.112667084,28.21008253,0.037261136,225.6806602 +6784,MN,542,34,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,5 MINETTA STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,5-7 MINETTA,4000,8042,0,8042,0,0,0,0,0,0,2,3,4,24,24,60.92,109.42,27,30, ,3,Y,5,5,230850,1293300,0,0,1900,0,0,South Village Historic District, ,2.01,3.44,0,6.5,1,1005420034,0,65,983870,205139,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,305.0110835,4304.982277,1062450,9,0,6784,6784,20,4500,18.38111115,19.61222267,1.231111526,18.54104452,0.354643962,370.8208904 +6785,MN,525,50,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,506 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,LOUMARITA RWALYU CORP,1875,8775,1755,7020,0,1755,0,0,0,0,2,1,5,4,5,25,75,25,75,E,3,N,5,5,308885,649611,0,0,1900,0,0,South Village Historic District, ,4.68,3.44,0,6.5,1,1005250050,0,65,984372,204409,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,204.5008055,1904.898954,340726,9,0,6785,6785,8,1800,23.62666702,25.95000076,2.32333374,23.91708374,0.768370411,191.3366699 +6786,MN,699,31,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,299 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,C7,4,0,P,TENTH AVENUE PARTNERS,2469,10000,2000,8000,0,2000,0,0,0,0,2,1,5,18,19,24.67,100,25,84, ,3,N,5,2,264150,1354050,0,0,1930,1962,0, , ,4.05,7.52,6,10,1,1006990031,0,99,983549,212704,8b, ,105S004,10301, ,0, ,1, , ,17V1.1,0,255.3495701,2588.227973,1089900,2,0,6786,6786,12,2700,12.1744442,13.2699995,1.095555305,12.26574047,0.30279549,147.1888857 +6787,MN,831,29,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,9 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,PMH REALTIES LLC,2765,9297,9297,0,7497,1800,0,0,0,0,2,1,5,0,5,28,98.75,28,83,E,3,N,5,2,416250,698850,0,0,1915,0,0, , ,3.36,0,10,10,1,1008310029,0,76,987681,211019,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,263.5494589,2749.220334,282600,11,0,6787,6787,13,2925,41.02666855,43.06755447,2.040885925,41.18365977,0.543833556,535.3875771 +6788,MN,473,38,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,415 BROOME STREET,M1-5B, , , , , , , , , ,N,U7,7,0, ,NYC TRANSIT,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,50.08,113,0,0, ,0,Y,5,5,0,0,0,0,0,0,0,SoHo-Cast Iron Historic District Extensi, ,0,0,5,6.5,1,1004730038,0,45,984623,201949,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,337.0607737,6024.615748,0,0,0,6788,6788,27,6075,26.17399979,32.10666656,5.932666779,26.78785169,1.739037446,723.2719955 +6789,MN,780,17,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,239 WEST 30 STREET,M1-5, , , , , , , , , ,N,O2,5,0, ,241 REALTY MGT LLC,3719,20573,20573,0,20573,0,0,0,0,0,2,1,6,0,1,37.5,98.75,37.5,98.75,E,3,N,5,2,441450,1554300,0,0,1923,0,0, , ,5.53,0,5,6.5,1,1007800017,0,101,985965,212259,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,277.9848758,3762.803907,1112850,6,0,6789,6789,17,3825,31.09600067,32.75733185,1.661331177,31.19372603,0.390901453,530.2933426 +6790,MN,923,26,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,343 EAST 17 STREET,R8A, , , , , , , , , ,N,I9,8,0,X,343 EAST 17TH STREET,4078,1900,1900,0,0,0,0,0,0,1900,2,1,1,0,1,44.33,92,34,80, ,0,N,5,5,504000,790200,504000,790200,2000,0,0, , ,0.47,6,0,6,1,1009230026,0,48,989312,206594,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,284.4235933,4361.0246,286200,5,0,6790,6790,19,4275,14.83555603,17.75333405,2.917778015,16.46099412,0.833586346,312.7588882 +6791,MN,481,11,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,23 CLEVELAND PLACE,C6-1,C6-2, , , , ,LI, , , ,Y,K4,4,0, ,KENMARE SQUARE 23 LLC,2561,3000,3000,0,0,1000,0,0,0,2000,2,1,3,0,1,25.2,123.98,25,40, ,3,Y,5,0,126450,546750,0,0,1900,2009,2012, , ,1.17,3.44,6,6.5,1,1004810011,0,41,985080,202229,12c, ,101N074,10206, ,1004810013,1/5/1994,1, , ,17V1.1,0,256.5690596,2673.404441,420300,0,0,6791,6791,12,2700,35.01599884,37.88333511,2.867336273,35.603851,1.072248438,427.246212 +6792,MN,425,8,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,197 BOWERY,C6-1, , , , , , , , , ,N,N2,8,0,X,COMMON GROUND COMMUNI,3838,24668,24668,0,0,3558,0,0,0,21110,2,1,9,0,2,25,153.33,25,143.33, ,0,Y,5,2,388800,2269800,388800,2269800,1900,2003,0, , ,6.43,3.44,6,6.5,1,1004250008,0,18,986101,201909,12c, ,101N077,10204, ,0, ,1, , 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,17V1.1,0,240.7179726,2231.039239,332696,5,0,6794,6794,11,2475,16.06999969,18.99222183,2.922222137,16.82606021,1.0065401,185.0866623 +6795,MN,336,28,103,12,1007,1,1,10002,L018,7,14,7600,1,3,2B,464 GRAND STREET,R8, , , , , , , , , ,N,Z9, ,0,X,HENRY STREET SETTLEME,23921,38000,38000,0,0,0,0,0,0,38000,2,1,4,0,1,50,100,164,124,E,1,N,3,2,1008000,4707000,1008000,4707000,1973,1988,0, ,NEIGHBORHOOD PLAYHOUSE,1.59,6.02,0,6.5,1,1003360028,0,12,988792,199890,12d, ,101N081,10201, ,0, ,1, , ,17V1.1,0,674.3939858,27468.82586,3699000,13,0,6795,6795,121,27225,25.22888947,37.93999863,12.71110916,33.5029298,1.9323625,4053.854506 +6796,MN,612,1,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,255 WEST 4 STREET,R6, , , , , , , , , ,N,C3,2,0,P,255 WEST 4 LLC,1418,2868,0,2868,0,0,0,0,0,0,2,1,3,4,4,21,67.5,21,45, ,3,N,5,5,241296,404471,0,0,1930,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006120001,0,73,983403,207136,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,181.4489007,1421.428312,163175,8,0,6796,6796,7,1575,24.50222206,25.60777664,1.105554581,24.80904743,0.424380815,173.663332 +6797,MN,622,66,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,79 PERRY STREET,R6, , , , , , , , , ,N,C6,2,0, ,PERRY ELEVEN APARTMEN,2208,8555,0,8555,0,0,0,0,0,0,2,1,5,11,11,23,96,23,80, ,3,N,5,1,270000,1065600,7080,7080,1910,1972,0,Greenwich Village Historic District, ,3.87,2.43,0,4.8,1,1006220066,0,73,983004,207265,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,238.2796965,2124.880019,795600,8,0,6797,6797,9,2025,24.5988884,26.93111229,2.332223892,24.87271584,0.728919901,223.8544426 +6798,MN,634,4,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,727 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,"DAVIS, ANTHONY",3803,10935,0,10935,0,0,0,0,0,0,2,1,3,1,1,36.5,91.58,36.5,82, ,0,Y,5,4,71191,300712,0,0,1901,2009,0,Greenwich Village Historic District, ,2.88,4,2,4,1,1006340004,0,75,982014,207406,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,255.9888089,3361.823125,229521,9,0,6798,6798,15,3375,15.0334444,15.82699966,0.79355526,15.7557478,0.204582724,236.3362169 +6799,MN,46,9,101,7,1006,2,1,10005,E004,1,15,7700,1,1, ,14 WALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,ROZA 14W LLC,32947,839749,839749,0,814801,24948,0,0,0,0,2,1,32,0,71,160,196.25,160,196, ,3,Y,3,2,23400000,81703350,0,0,1912,0,0, ,14 WALL STREET BUILDING,25.49,10,15,15,1,1000460009,0,7,981266,197084,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,779.7123438,36024.81977,58303400,17,0,6799,6799,159,35775,29.05000114,34.6922226,5.642221451,31.61886274,0.575076871,5027.399176 +6800,MN,510,37,102,43,3000,2,1,10012,L020,5,15,6800,1,2,1A,129 CROSBY STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,APPLEBY ARMS OWNERS C,3446,25244,1803,23441,0,1803,0,0,0,0,2,1,7,13,14,42,84.17,41,84, ,2,N,3,2,348750,2182950,38460,38460,1910,2016,2014,SoHo-Cast Iron Historic District Extensi, ,7.33,0,5,6.5,1,1005100037,0,43,985344,203275,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,266.6014022,3887.687808,1834200,9,0,6800,6800,17,3825,41.28666687,41.48099899,0.194332123,41.46956769,0.045725205,704.9826508 +6801,MN,373,34,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,35 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,COALITION PLAZA II LP,2186,5668,2000,3668,0,2000,0,0,0,0,2,1,3,7,9,35.25,62,35,62,E,2,N,5,0,142767,494325,119924,415233,1900,1992,0, , ,2.59,6,0,6,1,1003730034,0,2601,990308,202018,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,197.0627402,2261.707177,351558,1,1,6801,6801,11,2475,10.97999954,12.56333351,1.583333969,11.12393899,0.455176513,122.3633289 +6802,MN,719,61,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,432 WEST 22 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"BONSIGNORE, ANTHONY",1815,1850,0,1850,0,0,0,0,0,0,2,1,3,3,3,19.42,93.5,20,82,E,3,N,5,5,173621,214272,0,0,1900,2000,0,Chelsea Historic District, ,1.02,3,0,3,1,1007190061,0,89,983415,211099,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,228.0641786,1863.956453,40651,7,1,6802,6802,9,2025,10.39400005,13.51022244,3.116222382,10.9376297,1.064935993,98.4386673 +6803,MN,345,1,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,148 ATTORNEY STREET,R7A, , , , , , , , , ,N,K1,5,0, ,148 PARTNERS LLC,1765,1750,1750,0,0,1750,0,0,0,0,2,1,1,0,1,40.5,50,41,47, ,3,Y,5,0,106650,238050,0,0,1965,2002,0, , ,0.99,4,0,4,1,1003450001,0,2201,988867,201669,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,186.235485,1876.096305,131400,1,0,6803,6803,8,1800,18.41222191,22.95111084,4.538888931,18.97958303,1.501096418,151.8366642 +6804,MN,574,50,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,11 WEST 10 STREET,R6, , , , , , , , , ,N,A7,1,0, ,11-13 WEST 10TH STREE,5166,12774,0,9928,0,0,0,0,0,0,2,2,4,1,1,54.5,94.75,55,66,E,3,N,5,1,52700,465247,0,0,1900,2005,0,Greenwich Village Historic District, ,2.47,2.43,0,4.8,1,1005740050,0,63,985314,206677,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,306.8426968,5405.168371,412547,8,0,6804,6804,22,4950,20.66300011,29.28888893,8.625888824,22.22831319,2.170587668,489.0228901 +6805,MN,355,53,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,253 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,L8,6,0,P,PAUL YOUNG D,2260,6600,2200,4400,0,2200,0,0,0,0,2,1,3,2,3,22,100,22,96, ,3,Y,5,2,110700,559800,0,0,1920,0,0, , ,2.92,6,0,6,1,1003550053,0,3001,988325,202170,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,257.810181,2344.383421,449100,1,0,6805,6805,10,2250,23.94333458,23.94333458,0,23.94333458,0,239.4333458 +6806,MN,569,17,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,22 EAST 12 STREET,C6-1, , , , , , , , , ,N,J3,5,0, ,KYPRO ENTERPRISES INC,2342,4680,4680,0,0,0,0,0,0,4680,2,1,1,0,1,24.5,100.83,24.5,100, ,3,Y,5,2,315900,567000,0,0,1964,1964,0, , ,2,3.44,6,6.5,1,1005690017,0,61,986070,206676,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,248.171461,2347.968707,251100,8,0,6806,6806,10,2250,34.37900162,36.2286644,1.849662781,34.5639679,0.554898834,345.639679 +6807,MN,592,44,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,88 GROVE STREET,R6, , , , , , , , , ,N,A5,1,0, ,"NADIN, ANNA KENNEDY",2000,2040,0,2040,0,0,0,0,0,0,2,2,3,1,1,20,100,20,34, ,2,N,5,2,21691,120422,0,0,1899,0,0,Greenwich Village Historic District, ,1.02,2.43,0,4.8,1,1005920044,0,71,983706,206460,12a, ,103 017,10208, ,1005920044,2/9/2000,1, , ,17V1.1,0,248.9714106,2132.041465,98731,9,0,6807,6807,10,2250,17.50333405,20.38111115,2.8777771,18.40753365,1.14881819,184.0753365 +6808,MN,447,46,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,325 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,325 E5TH LLC,2425,9344,2165,7179,0,2165,0,0,0,0,2,1,5,21,23,25,97,25,87, ,3,N,5,1,169200,1474650,0,0,1900,1984,0, , ,3.85,4,0,4,1,1004470046,0,38,987656,203959,12c, ,102 019,10205, ,0, ,1, , 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LLC,2485,3972,0,2946,0,0,0,0,0,0,2,1,3,1,1,24.75,100.42,24.75,40, ,2,N,5,1,38527,157975,0,0,1899,2006,0,Charlton-King-Vandam Historic District, ,1.6,2.43,0,4.8,1,1005190063,0,37,982948,204252,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,254.3957851,2649.222266,119448,0,0,6822,6822,13,2925,16.83888817,21.54999924,4.711111069,18.23965777,1.628357571,237.115551 +6823,MN,136,24,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,116 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,O5,5,0,P,ST GEORGES EPISCOPAL,1887,11390,11390,0,6635,1800,0,2955,0,0,2,1,5,0,5,25.04,76.02,25,76, ,3,N,5,2,91800,855000,0,0,1900,0,0,Tribeca South Historic District Extensio, ,6.04,7.52,6,7.5,1,1001360024,0,21,981877,199765,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,205.6756375,1958.806674,763200,3,0,6823,6823,9,2025,25.24200058,25.40844536,0.166444778,25.26049444,0.052308547,227.34445 +6824,MN,540,9,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,120 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,120 MACDOUGLA STREET,2500,13618,1850,11768,0,1850,0,0,0,0,2,1,7,26,28,25,100,25,86, ,3,N,5,2,236250,2181150,0,0,1910,1985,0,South Village Historic District, ,5.45,3.44,0,6.5,1,1005400009,0,65,984153,205159,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.5779135,2696.071752,1944900,9,0,6824,6824,14,3150,22.5755558,24.47999954,1.904443741,22.7115875,0.490469254,317.962225 +6825,MN,588,17,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,40 GROVE STREET,R6, , , , , , , , , ,N,C1,2,0, ,"40 GROVE STREET, LLC",2350,7050,0,7050,0,0,0,0,0,0,2,1,4,19,19,23.5,100,24,67,E,2,N,5,1,161100,1107450,0,0,1950,1959,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1005880017,0,73,983028,206167,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,257.083473,2588.366605,946350,9,0,6825,6825,12,2700,18.94666672,23.39222145,4.445554733,19.55166642,1.34444774,234.619997 +6826,MN,401,22,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,524 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,524 EAST 6 ST HDFC,2401,6860,0,6860,0,0,0,0,0,0,2,1,5,10,10,24.75,97,25,54, ,3,N,5,2,17478,77927,11800,11800,1900,1985,0, , ,2.86,3,0,3,1,1004010022,0,32,989011,203322,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,245.2180586,2403.099118,60449,1,0,6826,6826,12,2700,14.20666695,16.18222237,1.97555542,14.49037059,0.577849171,173.8844471 +6827,MN,540,33,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,212 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,LOZYNSKYJ ASKOLD S,2500,6736,0,6736,0,0,0,0,0,0,2,2,4,23,23,25,100,20,34, ,2,N,5,5,180000,461700,0,0,1900,0,0,South Village Historic District, ,2.69,3.44,0,6.5,1,1005400033,0,65,984172,204998,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,256.4774984,2604.422079,281700,9,0,6827,6827,12,2700,22.5755558,27.90222168,5.326665878,23.89240742,2.281129145,286.708889 +6828,MN,116,48,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,31 JAMES STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,DRAGON'S EDGE LLC,1100,5480,1096,4384,0,1096,0,0,0,0,2,1,5,8,10,44,25.08,44,25, ,3,Y,5,2,58071,219616,0,0,1900,0,0, , ,4.98,3.44,0,6.5,1,1001160048,0,27,984564,198723,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,137.2664128,1076.482711,161545,16,0,6828,6828,5,1125,14.38099957,14.38099957,0,14.38099957,0,71.90499783 +6829,MN,706,20,104,99,1040,2,3,10001,E034,10,15,5500,1,4,2B,509 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,O5,5,0, ,"509 W 34, L.L.C.",22218,100630,100630,0,45000,22500,33130,0,0,0,2,1,4,0,4,225,98.75,225,93.75, ,0,N,5,2,1399500,5008500,0,0,1925,2000,0, , ,4.53,10,10,10,1,1007060020,0,99,984303,214402,8d, ,105S027,10302,E-137,0, ,1, , ,17V1.1,0,651.5466059,22569.6852,3609000,6,0,6829,6829,99,22275,31.1609993,44.77666473,13.61566544,31.53912275,2.006526844,3122.373152 +6830,MN,585,55,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,107 BEDFORD STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,"TREYZ, ALICE E",720,1440,0,1440,0,0,0,0,0,0,2,1,3,3,3,12.33,61.17,12.33,40, ,2,Y,5,2,24264,98749,0,0,1910,0,0,Greenwich Village Historic District, 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STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,257700,33000,33000,0,0,0,33000,0,0,0,2,1,1,0,0,355,713,110,713.67, ,0,N,2,5,3798000,4923900,3798000,4923900,1900,0,0, , ,0.13,0,2,0,1,1006510013,0,79,980990,208243,8b,Y,103 049,10210, ,0, ,1,1,1,17V1.1,0,1216.04973,28147.64694,1125900,8,1,6843,6843,65,14625,0.376428753,5.597777843,5.22134909,0.536965991,0.901013274,34.90278944 +6844,MN,510,28,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,53 PRINCE STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,55 PRINCE STREET ASSO,4655,20435,5000,15435,0,0,0,0,0,5000,2,1,5,9,10,50,100,50,100, ,3,Y,5,2,176346,1163228,68011,68011,1900,1987,2009, , ,4.39,0,5,6.5,1,1005100028,0,43,985360,202942,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,300.7541586,4805.989062,986882,0,0,6844,6844,22,4950,38.26333237,38.26333237,0,38.26333237,0,841.7933121 +6845,MN,621,46,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,78 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,PEAK TRUST 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SHIN YAT TONGM,2500,6750,6750,0,0,0,0,0,0,6750,2,1,5,0,1,25,100,25,54, ,2,N,5,1,157500,704250,157500,704250,1995,1988,0, , ,2.7,3.44,0,6.5,1,1002760037,0,8,985543,198680,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,259.9818701,2695.979655,546750,16,0,6864,6864,12,2700,23.59300041,23.59300041,0,23.59300041,0,283.1160049 +6865,MN,633,54,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,559 HUDSON STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,"559 HUDSON STREET, LL",1210,2536,888,1648,0,888,0,0,0,0,2,1,3,1,2,18.5,72,18.5,30,E,3,Y,5,5,25935,91363,0,0,1901,0,0,Greenwich Village Historic District, ,2.1,3.44,2,6.5,1,1006330054,0,75,982474,207220,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,219.8999922,1243.087603,65428,8,0,6865,6865,5,1125,19.46666718,23.3255558,3.858888626,20.8884449,1.751928191,104.4422245 +6866,MN,705,29,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,507 WEST 33 STREET,C6-4, , , , , ,HY, , , ,N,F5,6,0,P,50 HYMC OWNER LLC,7900,36000,36000,0,0,0,0,0,36000,0,2,1,5,0,5,80,98.75,80,98,E,3,N,5,2,360000,3514500,0,0,1925,1980,0, , ,4.56,10,10,10,1,1007050029,0,99,984202,214123,8d, ,105S016,10302,E-137,0, ,1, , ,17V1.1,0,361.4014053,8056.03642,3154500,6,0,6866,6866,35,7875,28.08399963,29.51000023,1.426000595,28.1525965,0.283810509,985.3408775 +6867,MN,525,21,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,175 THOMPSON STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,175 THOMPSON ST ASSOC,7325,29559,0,29558,0,0,0,0,0,0,2,2,6,85,85,73.25,100,36,88, ,3,N,5,2,373500,4369050,0,0,1900,1986,0,South Village Historic District, ,4.04,3.44,0,6.5,1,1005250021,0,65,984120,204454,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,356.4194104,7673.72742,3995550,9,0,6867,6867,35,7875,23.62666702,23.62666702,0,23.62666702,0,826.9333458 +6868,MN,876,26,106,50,1000,2,2,10010,E005,13,14,5300,1,6,1B,38 GRAMERCY PARK EAST,R9A,C1-9A, , , , , , , , ,Y,D4,3,0, ,38 GRAMENCY PK INC,5135,21339,900,20439,0,900,0,0,0,0,2,1,5,36,38,19.67,125,20,80, ,3,Y,3,2,303750,2668050,7080,7080,1930,1986,0, , ,4.16,7.52,0,7.52,1,1008760026,0,50,988508,208003,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,418.1209175,5226.903547,2364300,5,0,6868,6868,24,5400,24.27599907,24.87866592,0.602666855,24.3164436,0.138349575,583.5946465 +6869,MN,465,26,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,27 STUYVESANT STREET,R8B, , , , , , , , , ,N,A9,1,0, ,WOODSIDE HIGHLANDS LL,832,2800,0,2800,0,0,0,0,0,0,2,1,5,1,1,16,56.58,16,45, ,3,Y,5,2,39844,113356,0,0,1899,0,0,St. Mark's Historic District, ,3.37,4,0,4,1,1004650026,0,40,987478,205271,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,141.5033498,892.8541642,73512,12,0,6869,6869,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +6870,MN,547,5,102,59,3002,2,1,10003,E033,6,15,5700,1,2,2A,24 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,5104,53482,53482,0,0,0,0,0,0,53482,2,1,11,0,1,62.75,81.33,62.75,81, ,3,N,3,2,841500,4644900,841500,4644900,1906,1989,0, , 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, ,17V1.1,0,234.9267726,1823.24564,234264,8,0,6872,6872,8,1800,24.81222343,25.50444412,0.692220688,24.91986203,0.227761972,199.3588963 +6873,MN,516,30,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,464 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0, ,464 WEST BROADWAY ASS,1875,8666,1300,7366,0,1300,0,0,0,0,2,1,5,4,5,25,75,25,70,E,3,N,5,2,342080,847622,0,0,1900,1979,0,SoHo-Cast Iron Historic District Extensi, ,4.62,0,5,6.5,1,1005160030,0,49,984079,203953,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,200.5001737,1881.247066,505542,9,0,6873,6873,8,1800,17.67111206,17.67111206,0,17.67111206,0,141.3688965 +6874,MN,597,7501,102,37,1012,2,3,10013,E024,1,15,6800,1,2, ,95 VANDAM STREET,M1-6, , , , , ,HSQ, , , ,N,RM,4,0, , ,4965,27356,7823,19533,0,7823,0,0,0,0,2,1,6,10,11,49.43,100.73,0,0, ,0,Y,0,5,260999,2367449,21094,55670,1901,0,0, , ,5.51,0,10,10,1,1005977501,890,37,981931,204112,12a, ,101N065,10208, ,1005970070,12/24/1994,1, ,1,17V1.1,7,298.4666261,4885.403516,2106450,0,1,6874,6874,22,4950,10.99400043,10.99400043,0,10.99400043,0,241.8680096 +6875,MN,426,43,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,12 RIVINGTON STREET,C6-1, , , , , , , , , ,N,S1,4,0, ,"NUZZO, KENNETH C.",1520,5313,0,5313,0,0,0,0,0,0,2,1,2,1,2,38,40,38,40, ,3,N,5,2,20663,41472,0,0,1990,0,0, , ,3.5,3.44,6,6.5,1,1004260043,0,3601,986292,202229,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,159.3391895,1581.062811,20809,13,0,6875,6875,6,1350,41.51444626,45.44499969,3.930553436,42.1695385,1.464830779,253.017231 +6876,MN,239,25,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,112 BOWERY,C6-1G, , , , , ,LI, , , ,N,O2,5,0, ,MAGID REALTY CORP,2479,6703,6703,0,6703,0,0,0,0,0,2,1,4,0,2,24.5,101.17,25,78,E,3,N,5,1,277200,1598850,0,0,1920,0,0, , ,2.7,3.44,6,6.5,1,1002390025,0,41,985554,200927,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,262.1833506,2672.574629,1321650,0,0,6876,6876,11,2475,31.48699951,36.48333359,4.996334076,32.26360564,1.676184692,354.899662 +6877,MN,924,63,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,322 2 AVENUE,R9A, , , , , , , , , ,N,C4,2,0, ,"322 SECOND REALTY, LL",2167,5216,1000,4216,0,1000,0,0,0,0,2,1,4,5,6,21.67,100,22,83,E,3,N,5,5,147522,508540,0,0,1940,1984,0, , ,2.41,7.52,0,7.52,1,1009240063,0,48,989089,207094,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,254.4125496,2271.465313,361018,5,0,6877,6877,11,2475,14.83555603,21.50444412,6.668888092,16.33603061,2.075615033,179.6963367 +6878,MN,487,16,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,391 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0,P,393 WEST BROADWAY COR,11000,65340,10890,54450,0,5445,0,0,0,5445,2,1,6,14,16,55,200.08,55,198, ,3,N,4,2,1237500,6789600,7080,7080,1900,1985,0,SoHo-Cast Iron Historic District, ,5.94,0,5,6.5,1,1004870016,0,47,983735,203028,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,524.354141,11587.79566,5552100,0,0,6878,6878,51,11475,13.42399979,14.51333332,1.089333534,13.4755597,0.213103076,687.2535448 +6879,MN,283,18,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,143 HENRY STREET,R7-2, , , , , , , , , ,N,M1,8,0,X,ST THERESAS R CCHURCH,19859,81953,81953,0,0,0,0,0,0,81953,2,1,2,0,1,126.67,175,90,75, ,1,Y,3,2,1309500,2153250,1309500,2153250,1910,0,0, , ,4.13,3.44,0,6.5,1,1002830018,0,6,986898,199237,12d, ,101N054,10107, ,1002830018,3/15/2001,1, , ,17V1.1,0,374.7841606,7992.626456,843750,16,0,6879,6879,36,8100,28.23333359,34.37333298,6.13999939,28.88130893,1.367033667,1039.727121 +6880,MN,606,88,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,6 PATCHIN PLACE,R6,C1-6, , , , , , , , ,Y,C2,2,0, ,"PATCHIN PLACE, LLC",1390,2274,0,2274,0,0,0,0,0,0,2,1,3,5,5,18.5,78.67,19,40, ,3,Y,6,5,143805,240275,0,0,1915,0,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1006060088,0,71,984378,207077,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,196.0334995,1367.403986,96470,8,0,6880,6880,6,1350,19.72333336,21.50777626,1.784442902,20.27074051,0.778493089,121.6244431 +6881,MN,818,33,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,9 WEST 16 STREET,C6-2M, , , , , , , , , ,N,D0,3,0,P,9 W 16TH ST CORP,3066,7358,0,7358,0,0,0,0,0,0,2,1,3.5,10,10,33.33,92,33,65,E,3,N,5,1,161815,599796,2360,2360,1926,1988,2006, ,9 WEST 16TH STREET BUILDING (PART O,2.4,6.02,6,6.5,1,1008180033,0,54,986036,208127,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,258.2904387,3213.403389,437981,7,0,6881,6881,14,3150,31.11599922,33.56044388,2.444444656,31.29060241,0.629540753,438.0684338 +6882,MN,435,29,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,130 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,130 ST.MARKS PLACE LI,2195,7700,1100,6600,0,1100,0,0,0,0,2,1,5,8,10,30,73.17,30,54, ,2,N,5,2,55800,169417,0,0,1900,0,0, , ,3.51,4,0,4,1,1004350029,0,32,988796,204023,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,214.4084772,2362.332404,113617,12,0,6882,6882,12,2700,18.46888924,20.08222198,1.613332748,18.94092608,0.674729651,227.2911129 +6883,MN,629,7506,102,77,3000,2,3,10014,L005,6,15,6100,3,2, ,317 WEST 13 STREET,C1-6, , , , , , , , , ,N,RM,4,0, , ,2581,7243,2265,4978,2265,0,0,0,0,0,2,1,5,2,3,25,103.25,25,103,E,3,N,5,5,188338,353997,0,0,1926,1987,2008, , ,2.81,3.44,2,6.5,1,1006297506,2383,77,983199,208748,8b, ,103 035,10210, ,1006290050,9/9/2013,1, , ,17V1.1,7,263.8859335,2761.277463,165659,8,0,6883,6883,12,2700,16.45777702,21.03333282,4.575555801,16.85749928,1.260531187,202.2899914 +6884,MN,740,46,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,326 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,322-6 WEST 17TH ST HD,3150,10800,0,10800,0,0,0,0,0,0,2,1,5,12,12,25,127.42,25,94, ,3,Y,5,2,125550,663750,125550,571696,1910,1986,0, , ,3.43,4,0,4,1,1007400046,0,83,983575,209581,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,313.8330006,3456.465549,538200,7,0,6884,6884,15,3375,15.59444427,16.92955589,1.335111618,15.93084437,0.486301702,238.9626656 +6885,MN,196,21,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,254 CANAL STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,C H H REALTY,8623,42500,42500,0,34000,8500,0,0,0,0,2,1,5,0,15,100.25,77,100,88, ,3,Y,3,2,1575000,7361550,0,0,1900,1985,0, ,NO. 254-260 CANAL STREET,4.93,0,5,6.5,1,1001960021,0,31,983981,201007,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,392.9192969,9439.677672,5786550,14,0,6885,6885,44,9900,13.3577776,14.55711079,1.199333191,14.33670686,0.212135851,630.8151016 +6886,MN,175,7501,101,33,1004,2,1,10013,L001,1,15,7700,3,1, ,377 BROADWAY,C6-4A, , , , , , , , , ,N,RB,5,0,P,COOPER INVESTORS INC,7495,80149,80149,0,2363,77786,0,0,0,0,2,1,11,0,17,50.83,151.42,0,0, ,0,N,5,5,1102956,8647199,0,0,1920,0,0, , ,10.69,10,10,10,1,1001757501,186,33,983282,200891,12a, ,101S033,10105, ,1001750027,4/15/1985,1, , ,17V1.1,7,435.6127948,8870.4374,7544240,14,0,6886,6886,40,9000,22.45777893,25.54288864,3.085109711,24.60652752,0.539529446,984.2611008 +6887,MN,281,18,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,40 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,NEW EMPIRE PROPERTIES,1730,10044,8044,2000,2672,1600,0,0,0,3772,2,1,5,2,5,24.83,69.75,25,70,E,3,Y,5,2,215550,805500,0,0,1900,1985,2003, , ,5.81,3.44,6,6.5,1,1002810018,0,8,985321,199319,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,199.4001369,1916.610655,589950,16,0,6887,6887,9,2025,35.10200119,41.48777771,6.38577652,35.81153191,2.006855947,322.3037872 +6888,MN,717,17,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,435 WEST 19 STREET,R8,R8A, , , , , , , , ,Y,O2,5,0,P,PROJECT 19 HIGHLINE L,4556,21800,21800,0,21800,0,0,0,0,0,2,1,5,0,5,49.5,92,50,86, ,2,N,5,2,176850,2915100,0,0,1910,1987,2015, , ,4.78,6.02,0,6.5,1,1007170017,0,89,983029,210631,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,297.9516329,5110.066595,2738250,7,1,6888,6888,22,4950,9.621110916,9.621110916,0,9.621110916,0,211.6644402 +6889,MN,24,19,101,9,1001,2,1,10004,L015,1,15,7700,1,1, ,44 NEW STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,42 NEW ST INC,2268,15995,15995,0,14595,1400,0,0,0,0,2,1,7,0,8,49.77,49.85,50,49, ,3,Y,5,2,265050,1280250,0,0,1983,1988,0, , ,7.05,10,15,15,1,1000240019,0,9,980907,196438,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,199.1594859,2449.125915,1015200,17,0,6889,6889,10,2250,12.82800007,13.22599983,0.397999763,12.86780005,0.119399929,128.6780005 +6890,MN,798,7504,104,91,1004,2,3,10011,L012,13,15,5200,2,4, ,158 WEST 23 STREET,C6-3X, , , , , , , , , ,N,RM,4,0, ,158 WEST 23 LLC,2247,14506,5181,9325,1865,3316,0,0,0,0,2,1,7,5,7,22.42,98.75,22.42,98.75, ,0,N,5,5,107746,1262357,0,0,1920,0,0, , ,6.46,9,6,9,1,1007987504,1749,91,985615,210171,8d, ,105S011,10305, ,1007980074,9/18/2007,1, , ,17V1.1,7,249.6944401,2438.972817,1154610,2,0,6890,6890,11,2475,28.16444397,30.03666687,1.8722229,28.33464605,0.538226241,311.6811066 +6891,MN,188,7501,101,39,4002,2,1,10013,E007,1,15,7700,3,1, ,65 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,65 NORTH MORE CONDOM,3952,34723,21675,13048,0,0,0,9192,0,12483,2,1,6,8,11,44,88,0,0, ,0,N,5,5,387001,2037601,0,0,1915,0,0,Tribeca West Historic District, ,8.79,6.02,6,6.5,1,1001887501,491,39,981609,201683,12a, ,101N039,10105, ,1001880006,2/8/1988,1, , ,17V1.1,7,267.0034216,3978.187844,1650600,14,0,6891,6891,18,4050,15.11899948,15.11899948,0,15.11899948,0,272.1419907 +6892,MN,572,57,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,27 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S4,4,0, ,27 W 8TH REALTY LLC,2364,6530,1100,5430,0,1100,0,0,0,0,2,1,4,4,5,25.17,93.92,25,64, ,3,N,5,5,307004,642622,0,0,1930,1988,0,Greenwich Village Historic District, ,2.76,3.44,3.4,6.5,1,1005720057,0,63,984888,206349,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,246.4783358,2502.777311,335618,8,0,6892,6892,11,2475,18.70499992,21.74555588,3.040555954,19.36914132,1.060608856,213.0605545 +6893,MN,200,11,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,88 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,CHINATOWN MEAT & PLTR,2525,6100,2000,4100,0,2000,0,0,0,0,2,1,5,8,9,25,100.92,25,48,E,0,Y,5,2,82360,308562,0,0,1910,0,0, , ,2.42,3.44,6,6.5,1,1002000011,0,29,984639,200358,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,257.3438418,2591.912565,226202,14,0,6893,6893,10,2250,28.79299927,32.34111023,3.548110962,29.14781036,1.064433289,291.4781036 +6894,MN,886,25,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,168 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,GIONG XI CORP,1422,3960,2160,1800,1080,1080,0,0,0,0,2,1,4,2,4,19.75,80,20,54,E,3,N,5,2,306000,657000,0,0,1915,0,0, , ,2.78,6.02,6,6.5,1,1008860025,0,72,989353,210432,8d, ,104 019,10307, ,1008860025,11/28/1988,1, , ,17V1.1,0,194.6314651,1544.371624,351000,10,0,6894,6894,6,1350,33.23199844,33.23199844,0,33.23199844,0,199.3919907 +6895,MN,436,14,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,416 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,SERONE REALTY L.L.C.,2919,9345,0,9345,0,0,0,0,0,0,2,1,5,24,24,37.5,77.83,38,50, ,2,N,5,1,364500,1326600,0,0,1900,0,0, , ,3.2,4,0,4,1,1004360014,0,32,988644,204387,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.4153844,3030.897516,962100,12,0,6895,6895,14,3150,17.84799957,22.15888977,4.310890198,18.70333317,1.415395957,261.8466644 +6896,MN,765,56,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,222 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,MANHATTAN TRIAD ASSOC,2581,6649,0,6649,0,0,0,0,0,0,2,2,4,14,14,25,103.25,25,45, ,0,N,5,5,159750,861300,0,0,1890,0,0, , ,2.58,4,0,4,1,1007650056,0,81,984239,208947,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.225203,2570.196154,701550,7,0,6896,6896,11,2475,22.05333328,25.82777786,3.77444458,22.75585851,1.279942528,250.3144436 +6897,MN,306,39,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,115 HESTER STREET,C6-1G, , , , , , , , , ,N,S3,4,0, ,VINCENT P HUM,1672,3601,1300,2301,0,1300,0,0,0,0,2,1,3,3,4,21.75,76.17,22,62,E,3,Y,5,5,55090,180446,2083,5000,1900,1989,0, , ,2.15,3.44,6,6.5,1,1003060039,0,16,986145,200412,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,197.4397561,1638.307519,125356,13,0,6897,6897,8,1800,37.59777832,37.59777832,0,37.59777832,0,300.7822266 +6898,MN,506,21,102,37,3001,2,3,10014,E024,1,15,6800,1,2,1B,22 CHARLTON STREET,R6, , , , , , , , , ,N,A5,1,0, ,"LV PROPERTY THREE, LL",1877,2073,0,2073,0,0,0,0,0,0,2,1,2.75,1,1,18.75,100.08,18.75,36, ,3,N,5,2,35700,148441,0,0,1899,2016,0,Charlton-King-Vandam Historic District, ,1.1,2.43,0,4.8,1,1005060021,0,37,983094,204069,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,242.7655455,1986.68212,112741,0,0,6898,6898,10,2250,20.62700081,22.59111214,1.964111328,21.0696785,0.708931291,210.696785 +6899,MN,146,10,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,110 READE STREET,C6-2A, , , , , ,TMU, , , ,N,C5,2,0, ,"110 READE STREET, LLC",1525,8500,1400,7100,0,1400,0,0,0,0,2,1,6,5,6,24.67,61.58,25,61, ,3,Y,5,5,230412,388328,0,0,1900,1980,2016,Tribeca South Historic District, ,5.57,6.02,6,6.5,1,1001460010,0,33,981903,200148,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,184.1522704,1709.101278,157916,14,0,6899,6899,8,1800,16.87777901,16.87777901,0,16.87777901,0,135.0222321 +6900,MN,449,12,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,46 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,ZOY ASSOCIATES INC,2438,6645,0,6645,0,0,0,0,0,0,2,1,5,8,8,25,97.5,25,77,E,3,N,5,2,71325,284101,0,0,1940,1986,0, , ,2.73,4,0,4,1,1004490012,0,38,987813,204552,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,246.5129432,2435.156145,212776,12,0,6900,6900,11,2475,26.66699982,30.39444351,3.727443695,27.71142387,1.413717029,304.8256626 +6901,MN,556,23,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,58 3 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,SOIX REALY CORP.,1849,6308,3154,3154,1577,1577,0,0,0,0,2,1,4,3,4,23.75,77.83,23.75,70, ,3,N,5,5,201745,422246,0,0,1900,0,0, , ,3.41,6.02,6,6.5,1,1005560023,0,42,987273,205661,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,206.4265947,1845.921243,220501,12,0,6901,6901,8,1800,37.71221924,37.71221924,0,37.71221924,0,301.6977539 +6902,MN,884,41,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,398 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,398 THIRD AVENUE REAL,2963,12595,1800,10795,0,1800,0,0,0,0,2,1,5,16,17,24.67,120,24.67,100, ,3,N,5,2,180000,1194300,0,0,1900,1988,0, , ,4.25,10,2,10,1,1008840041,0,72,989503,209729,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,299.6809605,3216.01328,1014300,11,0,6902,6902,15,3375,37.06100082,39.1222229,2.061222076,37.4298673,0.74177015,561.4480095 +6903,MN,768,7504,104,87,3000,2,3,10011,L012,10,15,5600,1,4, ,270 WEST 19 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,4565,18644,665,17979,0,665,0,0,0,0,2,1,7,14,15,40,124.25,39.67,86.8, ,3,N,0,5,404999,2862899,14570,14570,2004,0,0, , ,4.08,6.02,6,6.5,1,1007687504,1442,87,984322,209730,8d, ,103 033,10304, ,1007680075,7/21/2005,1, , ,17V1.1,7,326.607871,4530.453743,2457900,7,0,6903,6903,20,4500,21.88888931,21.88888931,0,21.88888931,0,437.7777863 +6904,MN,544,1,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,393 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O6,5,0,P,FISHER RLTY CORP,14627,101936,101936,0,79936,22000,0,0,0,0,2,3,7,0,25,124.67,117.67,42,100, ,3,Y,3,2,1170000,8121150,0,0,1885,1984,0,NoHo Historic District,DEVINNE PRESS BUILDING,6.97,0,5,6.5,1,1005440001,0,57,986288,204477,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,506.636714,15753.1561,6951150,9,0,6904,6904,71,15975,40.7820015,45.85777664,5.075775146,41.11078381,1.198140428,2918.86565 +6905,MN,606,28,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,66 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,"KOEFOED, CARL PETER",925,2337,654,1683,0,654,0,0,0,0,2,1,3,1,2,20,48.33,20,40, ,3,Y,5,5,36159,99532,1550,1550,1910,0,0,Greenwich Village Historic District, ,2.53,3.44,2,6.5,1,1006060028,0,71,984071,207487,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,142.6819908,1053.763264,63373,8,0,6905,6905,5,1125,22.88899994,24.36888886,1.479888916,23.18497772,0.591955566,115.9248886 +6906,MN,890,54,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,152 EAST 35 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,152 EAST 35TH OWNR CP,6435,28250,750,27500,750,0,0,0,0,0,2,1,6,48,49,66,97.5,66,82, ,3,N,5,2,706500,2908350,47200,47200,1930,1987,0, , ,4.39,4,0,4,1,1008900054,0,72,990213,211248,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,330.1301073,6535.7814,2201850,10,0,6906,6906,29,6525,37.79100037,43.15222168,5.361221313,38.14363256,1.137227958,1106.165344 +6907,MN,802,78,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,297 7 AVENUE,M1-6, , , , , , , , , ,N,H9,5,0, ,LMS 297 LLC,2340,4800,2400,0,1200,1200,0,0,0,0,2,1,4,0,3,23.33,100,23,90,E,3,N,5,2,357750,895500,0,0,1920,0,2015, , ,2.05,0,10,10,1,1008020078,0,95,986019,211184,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,248.7240954,2400.295933,537750,2,0,6907,6907,12,2700,32.50999832,32.79000092,0.280002594,32.67333317,0.13804314,392.079998 +6908,MN,886,48,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,442 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,442-44 THIRD AVE. REA,4938,20382,1600,18782,0,1600,0,0,0,0,2,1,6,33,36,49.33,100,49,86, ,3,N,5,2,472500,1728000,0,0,1920,1984,0, , ,4.13,10,2,10,1,1008860048,0,72,989791,210229,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,306.1080761,5071.062309,1255500,10,0,6908,6908,23,5175,28.17889023,31.80666733,3.6277771,28.33661967,0.739816647,651.7422524 +6909,MN,595,30,101,39,1003,2,1,10013,L008,1,15,7700,1,1,3B,465 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,MADISON 465 W LLC,2752,13690,2738,10952,0,0,0,2738,0,0,2,1,5,4,5,45.67,61,46,61, ,2,Y,5,5,443539,669611,0,0,1900,0,0, , ,4.97,6.02,6,6.5,1,1005950030,0,39,981498,203281,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,215.9256844,2861.442718,226072,0,1,6909,6909,13,2925,7.78555584,9.002222061,1.216666222,8.10333318,0.391120023,105.3433313 +6910,MN,162,23,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,23 PELL STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,LUCKY PELL REALTY INC,1259,4455,2055,2400,0,891,0,0,0,1164,2,1,5,4,6,21,60.83,21,61, ,3,Y,5,5,107758,389764,0,0,1915,0,0, , ,3.54,3.44,6,6.5,1,1001620023,0,29,984719,199679,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,165.5397902,1267.488777,282006,14,0,6910,6910,6,1350,30.90500069,38.10111237,7.196111679,32.10435263,2.681832481,192.6261158 +6911,MN,848,7501,105,52,1001,2,2,10003,E014,13,15,5700,1,5, ,47 EAST 19 STREET,M1-5M, , , , , , , , , ,N,RM,4,0,P,SAMUEL NEWMAN,2300,12080,10334,1746,8010,2324,0,0,0,0,2,1,7,1,7,0.05,92,25,86, ,0,N,5,2,406352,1847294,0,0,1920,0,0, , ,5.25,0,5,6.5,1,1008487501,179,52,987425,208195,8d, ,102 044,10306, ,1008480032,12/27/1984,1, , ,17V1.1,7,245.8697714,2448.213013,1440940,5,0,6911,6911,11,2475,35.19100189,35.19100189,0,35.19100189,0,387.1010208 +6912,MN,610,17,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,160 WEST 10 STREET,C4-5,R6, , , , , , , , ,Y,G1,10,0, ,RIBAR OWNERS LLC,10612,36000,36000,0,0,0,36000,0,0,0,2,1,2,0,1,114.5,93.67,114.5,90, ,3,Y,5,1,900000,3090600,0,0,1900,1986,0,Greenwich Village Historic District, ,3.39,3.44,3.4,6.5,1,1006100017,0,73,983717,206769,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,428.7309553,10506.64111,2190600,8,0,6912,6912,48,10800,20.06299973,24.27000046,4.207000732,20.39752293,0.994672152,979.0811005 +6913,MN,26,7501,101,7,1009,2,1,10005,L015,1,15,7700, ,1, ,15 BROAD STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,39846,810798,252916,557882,0,12030,0,0,0,240886,2,1,42,382,400,261.33,185.19,261,185, ,0,Y,0,5,26999249,97411069,1256993,18300960,1914,2005,0, ,J. P. MORGAN & CO. BUILDING,20.35,10,15,15,1,1000267501,1480,7,981314,196685,12b, ,11S 005,10101, ,1000260001,12/29/2006,1, , ,17V1.1,7,897.065464,42902.99084,70411800,17,0,6913,6913,190,42750,14.4333334,25.50444412,11.07111073,19.23937902,1.482952673,3655.482015 +6914,MN,181,19,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,175 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,L8,6,0,P,"BENARESH, BAHRAM",2188,15244,2100,13144,0,2100,0,0,0,0,2,1,6,5,6,25,88.67,25,80,E,0,Y,5,5,295200,646650,0,0,1915,2011,0,Tribeca West Historic District, ,6.97,6.02,6,6.5,1,1001810019,0,39,981647,201284,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,224.3994823,2156.355921,351450,14,0,6914,6914,9,2025,18.25200081,18.40333366,0.151332855,18.26881557,0.047559328,164.4193401 +6915,MN,540,28,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,220 SULLIVAN STREET,R7-2, , , , , , , , , ,N,D9,3,0,P,"ROBROSE PLACE,LLC",4000,15215,600,14615,0,600,0,0,0,0,2,1,5,35,36,40,100,40,90, ,3,N,5,2,331200,2558250,0,0,1900,1931,0,South Village Historic District, ,3.8,3.44,0,6.5,1,1005400028,0,65,984235,205096,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,288.2744547,4240.972952,2227050,9,0,6915,6915,18,4050,22.5755558,27.51888847,4.943332672,22.9420681,1.172696868,412.9572258 +6916,MN,228,22,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,53 GRAND STREET,M1-5A, , , , , , , , , ,N,S4,4,0, ,MANHATTAN REALTY COMP,1340,6000,2400,3600,1200,1200,0,0,0,0,2,1,5,4,5,19.75,67,20,67, ,3,Y,3,5,342323,467027,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.48,0,5,6.5,1,1002280022,0,47,983212,202386,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,179.515415,1430.590315,124704,0,1,6916,6916,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +6917,MN,384,8,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,13 AVENUE B,R8A, , , , , , , , , ,N,S5,4,0, ,"FINNERMAN, TIMOTHY",1587,6070,1000,5070,0,1000,0,0,0,0,2,1,5,5,6,19.83,80,20,58, ,3,N,5,5,20663,84424,0,0,1920,0,0, , ,3.82,6,0,6,1,1003840008,0,2202,988873,202241,12c, ,102 005,10203, ,0, ,1, , 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+6924,MN,238,37,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,169 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,169 HESTER STREET COR,2472,9221,1200,8021,0,1200,0,0,0,0,2,2,5,24,25,24.75,100,24,53, ,3,Y,3,2,112500,413550,0,0,1900,0,0, , ,3.73,6.02,6,6.5,1,1002380037,0,41,985178,200838,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,260.2279109,2707.846429,301050,0,0,6924,6924,11,2475,31.90200043,31.90200043,0,31.90200043,0,350.9220047 +6925,MN,419,75,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,300 BROOME STREET,C4-4A, , , , , , , , , ,N,S5,4,0, ,"CHAN, WAI TUNG",2495,7288,1000,6288,0,0,1000,0,0,0,2,1,5,5,6,24.75,100.75,24,100, ,0,N,5,5,222820,280482,5130,5130,1988,2016,0, , ,2.92,4,4,4,1,1004190075,0,18,986436,201193,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,261.7499737,2663.521413,57662,13,0,6925,6925,12,2700,39.86888886,39.86888886,0,39.86888886,0,478.4266663 +6926,MN,135,7504,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,86 CHAMBERS STREET,C5-3,C6-3A, , , , ,TMU, , , ,Y,RM,4,0, , 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HEALTH,7950,18000,18000,0,0,0,0,0,0,18000,2,1,3,0,1,75,100.08,94,53, ,1,Y,6,2,684000,2000250,684000,2000250,1940,0,0, , ,2.26,6.02,0,6.5,1,1007240082,0,97,984291,212367,8d, ,105S006,10302, ,0, ,1, , ,17V1.1,0,380.2203809,8123.244955,1316250,2,0,6928,6928,36,8100,20.68777847,22.82111168,2.133333206,20.90830315,0.62550057,752.6989136 +6929,MN,692,53,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,540 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,K2,5,0, ,540 WEST 21ST STREET,4570,5320,5320,0,0,5320,0,0,0,0,2,1,2,0,1,49.67,92,49.67,92, ,3,N,5,0,337500,1170900,0,0,1915,0,0, , ,1.16,0,5,6.5,1,1006920053,0,99,982294,211424,8b, ,103 044,10301,E-142,1006920053,12/29/1986,1,1,1,17V1.1,0,282.2524548,4523.597883,833400,7,1,6929,6929,20,4500,6.72555542,7.123000145,0.397444725,7.103127909,0.08662107,142.0625582 +6930,MN,474,24,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,96 GRAND STREET,M1-5B, , , , , , , , , ,N,D4,3,0,P,GRAND LIBEREE COOPER,4397,23875,4500,19375,0,4500,0,0,0,0,2,1,6,9,10,50,87,50,90, 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,1005300020,4/7/1998,1, , ,17V1.1,7,316.8249849,5592.224398,2322000,9,0,6973,6973,25,5625,43.14099884,43.66888809,0.527889252,43.16211441,0.103444745,1079.05286 +6974,MN,173,7503,101,33,1006,2,1,10013,L001,1,15,7700,3,1, ,79 WORTH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,"SDS LEONARD, LLC",13513,78126,30762,47364,0,30762,0,0,0,0,2,1,6,29,33,47.65,200.38,48,200, ,3,Y,0,5,1325696,10101146,9440,9440,1880,1998,2003, , ,5.78,6.02,6,6.5,1,1001737503,2052,33,982794,200549,12a, ,11S 033,10105, ,1001730004,1/25/2010,1, , ,17V1.1,7,589.5178312,14074.05456,8775450,14,0,6974,6974,62,13950,21.61333275,27.42777824,5.814445496,21.93022168,1.204742644,1359.673744 +6975,MN,776,33,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,210 WEST 27 STREET,C6-2, , , , , , , , , ,N,H8,8,0,M,DORMITORY AUTHORITYNY,11071,149614,0,0,0,0,0,0,0,0,2,1,17,0,1,197.5,191.58,53.83,128, ,2,Y,3,2,1555650,12658050,1555650,12658050,1974,1989,0, , ,13.51,6.02,6,6.5,1,1007760033,0,95,985717,211280,8d, ,105S010,10304, ,1007760033,10/18/2010,1, , ,17V1.1,0,519.054463,11018.63563,11102400,2,0,6975,6975,50,11250,26.70400047,33.65888977,6.954889297,28.18566689,1.982366277,1409.283344 +6976,MN,475,58,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,78 GRAND STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,78 GRAND ST OWNERS CO,2500,11975,1100,10875,0,1100,0,0,0,0,2,1,5,4,5,25,100,25,93, ,2,N,5,2,138983,533360,0,0,1900,1988,0,SoHo-Cast Iron Historic District, ,4.79,0,5,6.5,1,1004750058,0,47,983561,202319,12a, ,101N070,10206, ,0, ,1, ,1,17V1.1,0,263.9301884,2810.300876,394377,0,1,6976,6976,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +6977,MN,773,56,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,220 WEST 24 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,23RD STREET OWNER LLC,12961,57207,0,57207,0,0,0,0,0,0,2,1,6,118,118,131.25,98.75,131,86, ,3,N,5,2,1012500,4739850,0,0,1930,0,0, , ,4.41,6,0,6,1,1007730056,0,91,985283,210696,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,467.0169858,13451.09897,3727350,2,0,6977,6977,60,13500,23.38899994,35.36000061,11.97100067,25.84508715,3.914205394,1550.705229 +6978,MN,542,61,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,203 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,STEPHEN LLC,2400,9190,1625,7565,0,1625,0,0,0,0,2,1,5,18,19,25,96,25,84, ,3,N,5,2,161550,1225800,0,0,1900,0,0,South Village Historic District, ,3.83,3.44,0,6.5,1,1005420061,0,65,983801,205098,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,252.8767686,2720.254944,1064250,9,0,6978,6978,11,2475,18.38111115,18.38111115,0,18.38111115,0,202.1922226 +6979,MN,804,59,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,134 WEST 29 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,134 WEST 29TH ST OWN,9875,115991,115991,0,0,8000,0,107991,0,0,2,1,12,0,20,100,98.75,100,90, ,2,N,5,2,1485000,8702100,0,0,1910,0,0, , ,11.75,0,10,10,1,1008040059,0,95,986526,211478,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,402.7107031,10135.14799,7217100,6,0,6979,6979,46,10350,33.41199875,38.44555664,5.033557892,33.90103821,1.250125962,1559.447758 +6980,MN,816,54,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,20 WEST 15 STREET,C6-2M, , , , , , , , , ,N,S4,4,0, ,NMR REALTY LLC,1812,7200,1440,5760,0,1440,0,0,0,0,2,1,3,4,5,25,75.75,26,73,E,3,Y,5,5,253232,512712,0,0,1920,0,0, , ,3.97,6.02,6,6.5,1,1008160054,0,54,985807,207791,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,209.0998712,1972.872388,259480,7,0,6980,6980,9,2025,28.19599915,34.19444275,5.998443604,29.34241867,2.180964519,264.081768 +6981,MN,526,69,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,180 SULLIVAN STREET,R7-2, , , , , , , , , ,N,B9,1,0, ,"KAUFMAN, MARINA",2244,3960,0,3960,0,0,0,0,0,0,2,1,4,2,2,22.42,100.08,22.42,45, ,3,N,5,5,61839,221184,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.76,3.44,0,6.5,1,1005260069,0,65,983943,204644,12a,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,248.5384074,2225.745785,159345,9,0,6981,6981,9,2025,23.22699928,24.34000015,1.11300087,23.52376514,0.37814729,211.7138863 +6982,MN,444,19,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,60 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,TOMAR EQUITIES LLC,1282,10444,1741,8703,0,1741,0,0,0,0,2,1,6,16,18,22.67,101.5,23,84, ,3,N,5,2,202500,1402200,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,8.15,4,0,4,1,1004440019,0,3602,987250,203429,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,251.6868939,2181.04788,1199700,1,0,6982,6982,10,2250,33.39555359,35.52000046,2.124446869,33.69144287,0.658336531,336.9144287 +6983,MN,189,7507,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,140 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,11275,70189,16553,53636,0,16553,0,0,0,0,2,1,65,13,14,0.25,0,0,0, ,0,N,0,5,936002,6932701,2360,2360,1910,2003,0,Tribeca West Historic District, ,6.23,6.02,6,6.5,1,1001897507,1052,33,982235,201363,12a, ,11S 035,10105, ,1001890001,3/1/1999,1, , ,17V1.1,7,456.9640257,12049.44834,5996700,14,1,6983,6983,53,11925,10.17444515,10.17444515,0,10.17444515,0,539.2455931 +6984,MN,411,73,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,104 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,S3,4,0,P,NISSELI REALTY CO.,1760,4010,1050,2960,0,1050,0,0,0,0,2,1,3,3,4,22,80,22,77,E,3,N,5,5,107562,156384,0,0,1900,0,0, , ,2.28,4,4,4,1,1004110073,0,3001,987574,201649,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,211.7092709,1919.831442,48822,13,0,6984,6984,9,2025,30.50799942,30.50799942,0,30.50799942,0,274.5719948 +6985,MN,481,13,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,25 CLEVELAND PLACE,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,KENMARE SQUARE LLC,2561,4556,1070,3486,0,1070,0,0,0,0,2,1,4,6,7,25.9,99.25,50,40, ,3,N,5,0,87290,435851,0,0,1900,0,0, , ,1.78,6.02,6,6.5,1,1004810013,0,41,985087,202253,12c, ,101N074,10206, ,1004810013,1/5/1994,1, , ,17V1.1,0,252.2269112,2451.114793,348561,0,0,6985,6985,11,2475,35.01599884,35.11199951,0.096000671,35.02472617,0.027598253,385.2719879 +6986,MN,692,51,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,530 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0,P,"VENTUNO, LLC",4660,8554,8554,0,0,8554,0,0,0,0,2,1,4,0,1,50.67,92,50.67,90, ,0,N,5,5,270450,1896300,0,0,1945,2007,2007, , ,1.84,0,5,6.5,1,1006920051,0,99,982382,211376,8b, ,103 044,10301, ,1006920053,12/29/1986,1,1,1,17V1.1,0,287.4474464,4762.323953,1625850,7,1,6986,6986,22,4950,6.691111088,7.123000145,0.431889057,7.07004558,0.135193315,155.5410028 +6987,MN,611,48,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,20 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,"YEDID, ELI",1500,4074,0,3234,0,0,0,0,0,0,2,1,3,1,1,20,75,20,60,E,3,N,5,1,65194,252329,0,0,1899,2014,2009,Greenwich Village Historic District, ,2.72,2.43,0,4.8,1,1006110048,0,71,983916,207061,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,194.1393229,1598.690845,187135,8,0,6987,6987,8,1800,19.84000015,21.68111229,1.841112137,20.50530553,0.807714432,164.0424442 +6988,MN,163,14,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,36 PELL STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,KUE MEE REALTY CORP,1387,7123,2135,4988,710,1425,0,0,0,0,2,1,5,3,5,25.08,57.33,25,57, ,3,Y,3,5,379221,659845,0,0,1920,1979,2005, , ,5.14,3.44,6,6.5,1,1001630014,0,29,984611,199798,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,165.972472,1468.902503,280624,14,0,6988,6988,5,1125,33.5909996,35.15444565,1.563446045,33.90368881,0.625378418,169.5184441 +6989,MN,292,12,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,104 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,106 CANAL STREET REAL,1250,4651,3401,1250,0,1250,0,1151,0,1000,2,1,3,1,3,25,50,25,50, ,3,N,3,2,118350,504450,0,0,1910,1985,0, , ,3.72,3.44,6,6.5,1,1002920012,0,16,985859,199922,12d, ,101S030,10107, ,0, ,1, , 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,17V1.1,0,287.3772538,3912.79046,1020600,8,0,6991,6991,19,4275,15.42222214,16.87666702,1.454444885,15.6936257,0.53048483,298.1788883 +6992,MN,394,7505,103,28,2001,1,2,10009,L011,9,14,6300,4,3, ,643 EAST 11 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2581,9858,0,9858,0,0,0,0,0,0,2,1,6.5,10,10,25,103.25,25,72, ,0,N,0,5,162494,1664307,0,321050,2006,0,0, , ,3.82,4,0,4,1,1003947505,1955,28,990491,204099,12c, ,102 030,10203, ,1003940047,11/25/2008,1,1,1,17V1.1,7,262.7496817,2582.00912,1501810,12,1,6992,6992,11,2475,6.934999943,8.251111031,1.316111088,7.122676719,0.416118761,78.34944391 +6993,MN,394,63,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,611 EAST 11 STREET,R8B, , , , , , , , , ,N,D9,3,0,P,"611 REALTY, LLC",2581,14252,0,14252,0,0,0,0,0,0,2,1,7,28,28,25,103.25,25,88, ,1,N,5,2,247500,1176750,0,0,1910,1988,0, , ,5.52,4,0,4,1,1003940063,0,28,990164,204280,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,262.5520003,2625.052353,929250,12,1,6993,6993,13,2925,6.934999943,9.278888702,2.34388876,7.292452922,0.838339897,94.80188799 +6994,MN,848,6,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,5 EAST 19 STREET,M1-5M, , , , , , , , , ,N,O5,5,0, ,"SZE & WONG, INC.",2300,11350,11350,0,9350,2000,0,0,0,0,2,1,6,0,5,25,92,25,92,E,3,N,5,1,324000,964350,0,0,1915,1981,2007,Ladies' Mile Historic District, ,4.93,0,5,6.5,1,1008480006,0,52,986840,208519,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,245.9469019,2475.501818,640350,7,0,6994,6994,12,2700,41.39699936,44.19444275,2.79744339,41.63011964,0.773172508,499.5614357 +6995,MN,882,29,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,83 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S1,4,0, ,AKLEH REALTY CORP,1580,2508,627,1881,0,627,0,0,0,0,2,1,3,1,2,19.75,80,19.75,40, ,0,N,5,5,71827,128232,0,0,1910,2009,0, , ,1.59,6.02,6,6.5,1,1008820029,0,68,988954,209407,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,207.1990706,1759.08029,56405,11,0,6995,6995,8,1800,31.85222244,32.5644455,0.712223053,31.94125032,0.235545635,255.5300026 +6996,MN,520,7501,102,37,2002,2,3,10014,E024,1,15,6800,1,2, ,29 KING STREET,R6, , , , , , , , , ,N,R4,3,0, ,KIND STREET CONDOMINI,16017,31054,0,31054,0,0,0,0,0,0,2,1,4,38,38,126.33,135,0,0, ,0,Y,5,5,990001,3266102,65060,104995,1900,1982,0,Charlton-King-Vandam Historic District, ,1.94,2.43,0,4.8,1,1005207501,66,37,983129,204512,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,7,527.3638102,16438.32036,2276100,9,0,6996,6996,72,16200,16.76099968,22.16333389,5.402334213,18.59127601,2.214319879,1338.571873 +6997,MN,637,25,102,75,1001,2,3,10014,L005,6,15,6400,1,2,2K,154 PERRY STREET,C1-6A, , , , , , , , , ,N,C6,2,0,X,WVH HOUSING DEVELPMEN,7042,18510,2710,15800,0,2710,0,0,0,0,2,1,5,10,11,79,100,68,50, ,1,Y,3,2,315000,2359350,315000,2359350,1975,0,0, , ,2.63,4,2,4,1,1006370025,0,75,981836,206904,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,341.5861886,7137.817333,2044350,9,1,6997,6997,32,7200,13.48111153,16.18266678,2.701555252,14.34362155,0.678768657,458.9958897 +6998,MN,830,26,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,1182 BROADWAY,M1-6, , , , , , , , , ,N,D7,4,0, ,"MOCAL ENTERPRISES, IN",5124,75328,24452,50876,14808,9644,0,0,0,0,2,1,17,39,44,52.83,113.42,53,113, ,3,Y,5,2,1382850,9918900,0,0,1910,2003,2011,Madison Square North Historic District, ,14.7,0,10,10,1,1008300026,0,76,987468,210873,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,321.1932926,5500.262506,8536050,11,0,6998,6998,26,5850,43.21222305,43.21222305,0,43.21222305,0,1123.517799 +6999,MN,140,7502,101,21,2000,2,1,10013,E007,1,15,7700,3,1, ,311 GREENWICH STREET,C6-3,C6-3A, , , , ,TMU, , , ,Y,RM,4,0, ,READE HOUSE CONDOMINI,9900,66167,8600,57567,0,8600,0,0,0,0,2,1,10,79,80,83.1,144,0,0, ,0,Y,5,5,2088003,12246748,56110,63652,1988,0,0, , ,6.68,7.52,6,10,1,1001407502,594,21,981333,200343,12a, ,101S016,10104, ,1001400018,12/31/1988,1, , ,17V1.1,7,427.9156161,10594.03211,10158700,14,0,6999,6999,47,10575,14.16888905,18.1439991,3.975110054,17.70517652,1.119411546,832.1432962 +7000,MN,539,9,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,225 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SOTTO SOPRA REALTY CO,2500,9780,1850,7930,0,1850,0,0,0,0,2,1,5,11,12,25,100,25,84, ,3,N,5,2,180000,1079550,0,0,1900,0,0,South Village Historic District, ,3.91,3.44,0,6.5,1,1005390009,0,65,984391,205066,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,251.4844836,2449.453807,899550,9,0,7000,7000,11,2475,25.23555565,27.44777679,2.212221146,25.67305062,0.769223617,282.4035568 +7001,MN,855,37,105,56,1004,2,2,10010,E016,13,15,5700,1,5,1B,35 MADISON AVENUE,C5-3, , , , , , , , , ,N,O4,5,0,P,41 MADISON L.P.,22218,524937,524937,0,519737,5200,0,0,0,0,2,1,43,0,159,98.75,225,99,225, ,1,N,3,2,13500000,62758800,0,0,1971,0,0, , ,23.63,10,15,15,1,1008550037,0,56,988055,209747,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,654.4403504,22538.02196,49258800,11,0,7001,7001,101,22725,35.47700119,37.91888809,2.441886902,35.99271363,0.769663881,3635.264076 +7002,MN,374,5,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,62 AVENUE C,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,"IVI, .",1992,5522,1000,4522,0,1000,0,0,0,0,2,1,5,3,4,24,83,24,80,E,3,N,5,5,16523,124471,0,0,1900,1986,0, , ,2.77,4,0,4,1,1003740005,0,2601,989883,202505,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,220.9604067,2143.112346,107948,1,1,7002,7002,9,2025,10.52222252,13.98666668,3.46444416,11.05925952,1.119551069,99.53333569 +7003,MN,414,2,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,136 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,EDMUND RLTY CORP,2200,8496,1600,6896,0,1600,0,0,0,0,2,1,5,18,20,25,88,25,76, ,3,N,5,2,157500,580500,0,0,1900,0,0, , ,3.86,4,4,4,1,1004140002,0,18,986660,201203,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,234.8993926,2391.543778,423000,13,0,7003,7003,11,2475,37.8544426,41.92555618,4.071113586,40.55321225,1.497992119,446.0853348 +7004,MN,413,43,103,18,1003,2,1,10002,E015,7,14,7400,1,3,2B,259 BROOME STREET,C4-4A, , , , , , , , , ,N,D7,4,0, ,259 BROOME LLC,4390,27349,3500,23849,0,3500,0,0,0,0,2,1,7,48,55,50.17,87.5,50,87, ,2,Y,3,2,832500,4421250,0,0,1920,0,0, , ,6.23,4,4,4,1,1004130043,0,18,986887,200864,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,285.9601442,4758.827557,3588750,13,0,7004,7004,20,4500,38.47555542,39.78555679,1.310001373,38.54105549,0.28550818,770.8211098 +7005,MN,567,33,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,3 EAST 9 STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,GARDEN-BEL LLC,2635,5302,0,5302,0,0,0,0,0,0,2,1,3,9,9,25,105.42,25,90,E,3,N,5,1,144841,540790,0,0,1938,0,0,Greenwich Village Historic District, ,2.01,3.44,0,6.5,1,1005670033,0,59,985562,206266,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,270.5634459,2923.573851,395949,8,0,7005,7005,13,2925,27.86444473,30.14666748,2.282222748,28.08495756,0.615065894,365.1044483 +7006,MN,436,52,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,95 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,CID ASSOCIATES LLC,10437,30255,6051,24204,0,6051,0,0,0,0,2,4,5,72,77,92.5,112.83,37,76, ,3,Y,5,1,1030500,3034350,0,0,1900,1987,0, , ,2.9,4,0,4,1,1004360052,0,32,988539,204335,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,421.7876144,10895.81408,2003850,12,0,7006,7006,49,11025,17.84799957,23.71333313,5.865333557,19.07325608,1.469637878,934.5895481 +7007,MN,618,9,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,248 WEST 14 STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,14 COMPANY,2478,8400,2478,5922,0,2478,0,0,0,0,2,1,5,3,5,24,103.25,24,98,E,2,N,5,5,201991,2085833,0,0,1900,1986,0, , ,3.39,6.02,6,6.5,1,1006180009,0,77,983666,208611,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,262.8325342,2634.99785,1883840,8,0,7007,7007,11,2475,22.30444527,22.30444527,0,22.30444527,0,245.3488979 +7008,MN,411,15,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,97 STANTON STREET,C4-4A, , , , , , , , , ,N,K1,5,0,P,"PITSON REALTY, LLC",1725,1975,1975,0,0,1975,0,0,0,0,2,1,1,0,1,23,75.33,23,72, ,3,N,5,2,116550,563400,0,0,1963,1985,0, , ,1.14,4,4,4,1,1004110015,0,3001,987524,202021,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,205.354142,1830.16276,446850,1,0,7008,7008,8,1800,31.68099976,32.41333389,0.732334137,31.77254152,0.24219675,254.1803322 +7009,MN,604,7501,102,69,1002,2,3,10014,E024,6,15,6400,2,2, ,130 BARROW STREET,C1-6A, , , , , , , , , ,N,R4,3,0,P,CHARLES H GREENTHAL,19950,85771,0,85771,0,0,0,0,0,0,2,1,6,95,95,137.67,118.5,0,0, ,0,Y,5,5,2182529,8994154,119448,120163,1920,1982,0, , ,4.3,4,2,4,1,1006047501,79,69,981664,206041,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,7,567.5698645,20723.97306,6811630,9,1,7009,7009,92,20700,8.725000381,12.75444412,4.029443741,9.043472528,0.825072453,831.9994726 +7010,MN,68,36,101,15.02,1005,2,1,10038,E004,1,15,7700,1,1, ,100 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,JOHN HANCOCK LIFE & H,18513,377120,377120,0,370440,6680,0,0,0,0,2,1,22,0,76,121.58,163.58,78,162, ,2,Y,3,2,10845000,38073150,0,0,1973,0,0, , ,20.37,10,15,15,1,1000680036,0,1502,982254,197346,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,549.9659208,18503.06109,27228200,4,0,7010,7010,82,18450,17.76300049,26.43333244,8.670331955,18.19727277,1.507343498,1492.176367 +7011,MN,178,7,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,108 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,OOTACAMUND CORP,5029,22309,9,22300,0,0,9,0,0,0,2,1,5,10,10,49.92,100.83,25,100, ,3,Y,5,2,883380,1704110,4720,4720,1900,2008,0,Tribeca East Historic District, ,4.44,6.02,6,6.5,1,1001780007,0,33,982648,201125,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,313.6113371,5383.978467,820730,14,1,7011,7011,24,5400,9.793333054,9.793333054,0,9.793333054,0,235.0399933 +7012,MN,461,32,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,93 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,LEEDA REALTY LLC,2425,6873,1718,5155,0,1718,0,0,0,0,2,1,4,4,5,24.25,100,24,100, ,3,N,5,5,181456,270299,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.83,4,0,4,1,1004610032,0,38,987273,204214,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,256.9582,2507.501801,88843,1,0,7012,7012,11,2475,36.55199814,37.36999893,0.818000793,36.65054391,0.23989747,403.155983 +7013,MN,915,29,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,627 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S5,4,0,P,627 SECOND CORP,1495,4421,950,3471,0,950,0,0,0,0,2,1,4,6,7,19.67,76,20,50, ,3,N,5,2,42402,475556,0,0,1910,1968,2009, , ,2.96,10,2,10,1,1009150029,0,78,990906,210751,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,200.6403913,1655.195553,433154,10,0,7013,7013,8,1800,18.38999939,18.38999939,0,18.38999939,0,147.1199951 +7014,MN,825,52,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1B,6 WEST 24 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,"V-STAR, LTD",2375,6416,6416,0,4316,2100,0,0,0,0,2,1,3,0,4,24,98.75,24,99, ,3,N,5,2,270900,1466550,0,0,1918,0,0,Ladies' Mile Historic District, ,2.7,0,10,10,1,1008250052,0,58,986927,209789,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,247.3642325,2294.937122,1195650,2,0,7014,7014,11,2475,36.32888794,37.49222183,1.163333893,36.43464557,0.33443498,400.7811012 +7015,MN,460,34,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,85 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,85 SECOND AVENUE REAL,1307,5307,2562,2745,0,2562,0,0,0,0,2,1,5,3,4,20.33,63.7,20.33,43,E,0,N,3,5,144291,599807,0,0,1900,1996,2010,East Village/Lower East Side Historic Di, ,4.06,4,0,4,1,1004600034,0,38,987214,204072,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,181.3100051,1512.421766,455516,1,0,7015,7015,7,1575,35.65444565,37.09000015,1.435554504,36.10120719,0.594210545,252.7084503 +7016,MN,585,52,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,113 BEDFORD STREET,C1-6,R6, , , , , , , , ,Y,A4,1,0, ,SAPOKANIKAN LLC,720,1122,0,1122,0,0,0,0,0,0,2,1,3,1,1,17.75,44.5,17.75,21.5, ,2,Y,5,2,30361,102020,0,0,1901,0,0,Greenwich Village Historic District, ,1.56,3.44,2,6.5,1,1005850052,0,73,982614,206306,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,122.1941191,775.4199345,71659,9,0,7016,7016,4,900,20.9109993,22.12000084,1.209001541,21.41133308,0.521570148,85.64533234 +7017,MN,846,69,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,8 EAST 18 STREET,M1-5M, , , , , , , , , ,N,K4,4,0,P,"8 EAST 18, LLC",1715,5975,3898,2077,0,2575,0,1323,0,0,2,1,3,2,3,24.5,70,25,68,E,3,N,5,0,247500,988650,0,0,1915,2015,0,Ladies' Mile Historic District, ,3.48,0,5,6.5,1,1008460069,0,52,986681,208175,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,198.6836754,1826.446642,741150,7,0,7017,7017,8,1800,39.36555481,40.25333405,0.887779236,39.47652721,0.293605385,315.8122177 +7018,MN,425,6,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,193 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,"VERTICAL STRUCTURES,L",2525,11000,6500,4500,2250,2250,0,2000,0,0,2,1,4,1,3,25.25,100,25.25,100,E,0,N,5,2,234000,1343700,0,0,1900,2004,0, , ,4.36,3.44,6,6.5,1,1004250006,0,18,986062,201871,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,245.6802309,2407.539142,1109700,0,0,7018,7018,10,2250,38.80888748,40.47444534,1.665557861,38.97544327,0.499667358,389.7544327 +7019,MN,483,7501,102,45,1002,2,1,10012,E055,5,15,6800,1,2, ,508 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2492,10961,3896,7065,0,1700,0,0,0,2196,2,1,5,4,5,24.92,100,0,0, ,0,N,5,5,86675,562778,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,4.4,0,5,6.5,1,1004837501,372,45,984509,202422,12c, ,101N073,10206, ,1004830009,1/7/1987,1, , ,17V1.1,7,260.0738536,2620.571129,476103,0,0,7019,7019,12,2700,24.68222237,28.57666588,3.894443512,25.00675933,1.076367325,300.0811119 +7020,MN,277,8,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,89 MADISON STREET,R7-2, , , , , , , , , ,N,G6,10,0, ,31 MONROE REALTY LLC,5029,0,0,0,0,0,0,0,0,0,7,1,0,0,0,50,100.58,0,0, ,0,N,5,5,652950,652950,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002770008,0,8,985413,198825,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,305.1250001,5128.080045,0,16,0,7020,7020,23,5175,25.5177784,30.21999931,4.702220917,27.96782626,1.481342409,643.260004 +7021,MN,425,1,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,183 BOWERY,C6-1, , , , , , , , , ,N,K2,5,0, ,"CHAN & FUNG'S RTY CO,",2348,7038,7038,0,0,4760,0,2278,0,0,2,1,2,0,2,25.33,92.83,25.33,92.83, ,0,Y,3,2,270000,954000,0,0,1950,1997,0, , ,3,3.44,6,6.5,1,1004250001,0,18,986024,201752,12c, ,101N077,10204, ,1004250002,9/8/2009,1, , ,17V1.1,0,238.2492453,2386.020482,684000,0,0,7021,7021,12,2700,38.80888748,38.80888748,0,38.80888748,0,465.7066498 +7022,MN,454,4,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,198 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,198-200 WS LLC,6180,24747,4125,20622,0,4125,0,0,0,0,2,1,6,33,35,51.5,120,52,92, ,3,N,5,2,630000,2708550,0,0,1920,1986,0, , ,4,4,0,4,1,1004540004,0,40,988298,205649,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,368.9908405,6942.252848,2078550,12,0,7022,7022,32,7200,22.37666702,29.90222168,7.525554657,23.51127809,2.561687796,752.360899 +7023,MN,52,1,101,13,1010,2,1,10006,E010,1,15,7700,1,1,1A,96 TRINITY PLACE,C5-5, , , , , ,LM, , , ,N,W6,8,0,P,90-100 TRINITY OWNER,10989,102591,102591,0,102591,0,0,0,0,0,2,1,10,0,2,102.42,127.5,99,170, ,3,Y,3,2,4999500,10640250,0,0,1958,1961,0, , ,9.34,10,15,15,1,1000520001,0,13,980830,197688,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,477.2761079,11710.48626,5640750,3,0,7023,7023,51,11475,14.04800034,18.87888908,4.830888748,14.52295019,1.23756774,740.6704597 +7024,MN,276,41,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,96 MADISON STREET,R7-2, , , , , , , , , ,N,C3,2,0,P,GONG ANNA F,2500,3501,0,3501,0,0,0,0,0,0,2,1,3,4,4,25,100,25.08,43.5, ,0,Y,5,5,102604,151153,24024,24024,1900,0,0, , ,1.4,3.44,0,6.5,1,1002760041,0,8,985444,198669,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,260.6861547,2728.541629,48549,16,0,7024,7024,11,2475,17.29999924,25.04366684,7.743667603,23.16019214,1.898620959,254.7621136 +7025,MN,29,7504,101,9,1011,2,1,10004,L015,1,15,7700,1,1, ,54 STONE STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,3665,19230,4040,15190,0,3410,0,630,0,0,2,1,7,5,7,36.42,73,36,73, ,0,Y,0,5,139400,1297251,0,0,1935,2007,0,Stone Street Historic District, ,5.25,10,15,15,1,1000297504,1805,9,981444,195866,12b, ,101S002,10101, ,1000290027,1/8/2008,1, , ,17V1.1,7,236.140958,3107.813567,1157850,17,1,7025,7025,13,2925,11.55000019,13.48777771,1.937777519,11.82888904,0.655887408,153.7755575 +7026,MN,194,18,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,311 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,MVG PROPERTIES LLC,1910,8738,3500,5238,0,1750,0,1750,0,0,2,1,5,4,5,25.42,75.17,25,74,E,3,N,5,2,141387,1268634,0,0,1915,1970,0,Tribeca East Historic District, ,4.57,6.02,6,6.5,1,1001940018,0,33,983165,201452,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,207.4938812,2016.121926,1127250,14,0,7026,7026,10,2250,12.8255558,15.4422226,2.616666794,13.28466692,0.929383966,132.8466692 +7027,MN,164,32,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,33 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,HOY SUN NING YUNG BEN,5830,24600,5250,19350,1750,3500,0,0,0,0,2,1,6,38,42,63.17,93.25,63,101, ,2,Y,5,2,332100,1613250,0,0,1915,2007,0, , ,4.22,3.44,6,6.5,1,1001640032,0,29,984496,199768,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,325.4790415,6075.292148,1281150,14,0,7027,7027,27,6075,20.62111092,25.96666718,5.345556259,23.92265023,1.437379197,645.9115562 +7028,MN,387,119,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,620 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"620 MACCABI, LLC",3445,13546,2940,10606,0,2940,0,0,0,0,2,1,6,22,24,35.5,97,36,82, ,1,Y,5,2,142200,1560150,0,0,1920,1986,0, , ,3.93,4,0,4,1,1003870119,0,2601,989557,203019,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,274.8318918,3657.48855,1417950,1,1,7028,7028,17,3825,10.13000011,11.57699966,1.44699955,10.31243145,0.413569101,175.3113346 +7029,MN,717,66,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,444 WEST 20 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,JOHN SLOSS,2300,5400,0,4050,0,0,0,0,0,0,2,1,2,3,3,25,92,25,54, ,3,N,5,1,93830,205028,0,0,1901,1999,0,Chelsea Historic District, ,2.35,3,0,3,1,1007170066,0,89,982931,210793,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,237.6807149,2293.627116,111198,7,1,7029,7029,9,2025,9.621110916,11.88222218,2.261111259,10.12395043,0.783258538,91.11555386 +7030,MN,97,2,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,115 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,D5,3,0, ,115 SOUTH STREET LLC,2748,13000,2000,11000,0,2000,0,0,0,0,2,1,5,9,10,37,73.83,37,74, ,3,Y,5,0,487030,707391,2360,2360,1900,0,0,South Street Seaport Historic District, ,4.73,6.02,6,6.5,1,1000970002,0,1501,983766,196955,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,231.0440148,2956.080366,220361,4,1,7030,7030,13,2925,5.993332863,5.993332863,0,5.993332863,0,77.91332722 +7031,MN,376,18,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,250 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,SEVENTH ST CORP,2494,11802,0,11802,0,0,0,0,0,0,2,1,6,12,12,27.42,90.83,27,78, ,3,N,5,2,225000,1010250,25506,25506,1928,0,0, , ,4.73,4,0,4,1,1003760018,0,2602,990356,202856,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,242.9492776,2646.095054,785250,12,1,7031,7031,11,2475,7.864444256,7.864444256,0,7.864444256,0,86.50888681 +7032,MN,407,25,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,534 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,534 EAST 14 LLC,2581,7246,1200,6046,0,1200,0,0,0,0,2,1,5,15,17,25,103.25,25,68, ,3,N,5,2,135000,1194750,0,0,1900,1987,0, , ,2.81,4,2,4,1,1004070025,0,34,990102,205045,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.930408,2686.627138,1059750,12,1,7032,7032,12,2700,11.62699986,13.8633337,2.236333847,12.22691663,0.844089022,146.7229996 +7033,MN,580,7501,102,37,3002,2,3,10014,E024,1,15,6800,1,2, ,330 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,RB,5,0, , ,34961,351759,351759,0,351759,0,0,0,0,0,2,1,17,0,2,0.8,0,202,160, ,0,Y,0,5,6937650,56962800,0,26318878,1910,0,0, , ,10.06,0,10,10,1,1005807501,2544,37,982333,204113,12a, ,101N066,10208, ,1005800001,5/1/2014,1, , ,17V1.1,7,788.111145,37251.74566,50025200,0,0,7033,7033,165,37125,13.96444416,19.18555641,5.221112251,14.58547455,1.436022706,2406.603301 +7034,MN,619,84,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,91 CHRISTOPHER STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,CHRISTOPHER BLEECKER,2400,10950,900,10050,0,900,0,0,0,0,2,1,6,20,21,25,96.58,25,90, ,2,Y,5,0,405000,1878300,0,0,1910,1985,0,Greenwich Village Historic District, ,4.56,3.44,2,6.5,1,1006190084,0,73,983107,206549,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,241.8390371,2392.924189,1473300,9,0,7034,7034,11,2475,23.46111107,27.29555511,3.834444046,24.66181807,1.615399357,271.2799988 +7035,MN,449,25,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,72 ST MARKS PLACE,R8B, , , , , , , , , ,N,N9,8,0,X,JEWISH BD OF FAMILY &,5050,16625,16625,0,0,0,0,0,0,16625,2,1,5,0,1,50,104.33,50,66, ,3,Y,5,2,499500,1335150,499500,1335150,1920,1986,0, , ,3.29,4,0,4,1,1004490025,0,38,988107,204387,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,313.0720587,5185.94638,835650,12,0,7035,7035,22,4950,26.02777863,27.86888886,1.841110229,26.67265146,0.437158087,586.7983322 +7036,MN,803,49,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,116 WEST 28 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,"GOLDEN TOWN REALTY,",3950,44358,0,0,0,0,0,0,0,0,2,1,17,0,1,40,98.75,40,65, ,1,N,5,0,2250000,11810250,0,0,2010,0,0, , ,11.23,0,10,10,1,1008030049,0,95,986621,211132,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,278.3599088,3964.284733,9560250,2,0,7036,7036,18,4050,36.93999863,40.42777634,3.48777771,37.46228896,1.037537893,674.3212013 +7037,MN,923,53,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,320 EAST 18 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,BRIAN J HARRIS,1932,3996,0,3030,0,0,0,0,0,0,2,1,3,2,2,21,92,21,46, ,2,N,5,1,65483,156410,1550,1550,1901,0,0, , ,2.07,3,0,3,1,1009230053,0,48,989175,206779,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,229.2916539,1989.377667,90927,5,0,7037,7037,9,2025,16.06999969,18.48999977,2.420000076,16.6037036,0.79351738,149.4333324 +7038,MN,833,7502,105,76,1005,2,4,10001,L024,14,15,5200,1,5, ,9 WEST 31 STREET,C6-4, , , , , , , , , ,N,RR,4,0, ,TOWER 31 LLC,14813,242364,17638,224726,0,0,17638,0,0,0,2,1,41,283,283,150,98.75,0,0, ,0,N,0,5,3330000,31149900,1598531,29418431,2004,0,0, , ,16.36,10,10,10,1,1008337502,1429,76,987942,211461,8d, ,104 016,10306, ,1008330030,5/4/2005,1, , ,17V1.1,7,496.861353,14910.20819,27819900,10,0,7038,7038,66,14850,41.76111221,43.85555649,2.094444275,42.65640773,0.861387389,2815.32291 +7039,MN,402,29,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,172 EAST 7 STREET,R7B,R7A, , ,C1-5, , , , , ,Y,D1,3,0,P,"172 GROUP,",5047,20886,0,20886,0,0,0,0,0,0,2,1,6,25,25,55.5,90.83,56,76, ,2,N,5,2,431550,1913400,0,0,1929,1987,0, , ,4.14,3,0,3,1,1004020029,0,32,989290,203449,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,297.0240894,5173.535092,1481850,12,0,7039,7039,22,4950,12.85000038,12.85000038,0,12.85000038,0,282.7000084 +7040,MN,267,19,103,2.02,1001,1,2,10002,E015,7,14,8000,1,3,1B,333 MADISON STREET,R7-2, , , ,C1-5, , , , , ,N,M3,8,0,X,ST AUGUSTINE PARISHET,18425,16862,16862,0,0,0,0,0,0,16862,2,5,2,0,0,96,196,95.25,148,E,0,Y,3,5,918000,1944900,918000,1944900,1920,0,0, ,ST. AUGUSTINE'S CHAPEL,0.92,3.44,0,6.5,1,1002670019,0,202,988928,199280,12d, ,101N059,10107, ,0, ,1, , ,17V1.1,0,579.3048186,18600.79322,1026900,13,0,7040,7040,81,18225,30.83111191,32.55666733,1.72555542,31.08726815,0.531260758,2518.06872 +7041,MN,210,3,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3A,327 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,K1,5,0, ,327 CHURCH ST CORP,1650,1636,1636,0,0,1636,0,0,0,0,2,1,1,0,1,22,75,22,75, ,3,Y,5,0,99000,327600,0,0,1920,1984,0,Tribeca East Historic District, ,0.99,6.02,6,6.5,1,1002100003,0,33,983281,201640,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,197.0199369,1661.696204,228600,0,0,7041,7041,7,1575,12.33199978,12.63888931,0.306889534,12.37584114,0.107388967,86.63088799 +7042,MN,343,66,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,55 PITT STREET,R8A, , , , , , , , , ,N,K1,5,0,P,LOUIS NEWMAN,2118,2106,2106,0,0,2106,0,0,0,0,2,1,1,0,1,18.67,100,19,100, ,3,Y,5,0,98100,230850,0,0,1915,1989,0, , ,0.99,6,0,6,1,1003430066,0,12,988893,200772,12c, ,101N081,10201,E-216,0, ,1, , ,17V1.1,0,257.3391419,2142.656417,132750,13,0,7042,7042,9,2025,19.3544445,19.3544445,0,19.3544445,0,174.1900005 +7043,MN,402,1,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,94 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,94-96 AVE A REALTY CO,2763,9156,2760,6396,0,2760,0,0,0,0,2,3,4,18,19,36.83,75,18,49, ,2,N,3,2,90000,1013850,0,0,1920,1999,1999, , ,3.31,4,0,4,1,1004020001,0,32,988787,203589,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,231.1432119,3002.346957,923850,1,0,7043,7043,13,2925,12.85000038,12.85000038,0,12.85000038,0,167.050005 +7044,MN,627,25,102,77,3002,2,3,10014,L005,6,15,6100,1,2,3B,638 HUDSON STREET,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,49130,400,400,0,0,0,0,0,0,400,2,1,1,0,1,180,280.58,20,20, ,0,Y,3,5,6030000,7155000,6030000,7155000,1920,0,0,Greenwich Village Historic District, ,0.01,0,0,0,1,1006270025,0,77,982921,208540,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,910.966167,49801.50309,1125000,8,0,7044,7044,222,49950,17.45999908,19.67777824,2.21777916,18.37773259,0.573086592,4079.856636 +7045,MN,940,12,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2A,321 EAST 34 STREET,C1-9A, , , , , , , , , ,N,O7,5,0, ,317 EAST 34 STREET,8813,105572,105572,0,105572,0,0,0,0,0,2,1,12,0,26,89.25,98.75,89,89,E,0,N,5,5,5130000,20030400,0,0,1910,0,0, , ,11.98,10,2,10,1,1009400012,0,78,991226,210571,8d, ,104 024,10309, ,0, ,1, , ,17V1.1,0,380.2599285,9015.586938,14900400,10,1,7045,7045,41,9225,8.051111221,16.08666611,8.035554886,8.619105781,2.022211058,353.383337 +7046,MN,537,30,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,528 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,PALMART REALTY CORP,3750,17150,3350,13800,0,3350,0,0,0,0,2,1,5,4,5,50,75,50,64, ,3,N,5,2,211092,941106,2360,2360,1900,0,0,South Village Historic District, ,4.57,3.44,0,6.5,1,1005370030,0,65,984574,204722,12c, ,103 007,10207, ,0, ,1, , 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,1005600009,12/25/1986,1, , ,17V1.1,7,785.1373316,38515.77428,17858700,8,0,7066,7066,170,38250,34.1969986,40.97999954,6.783000946,35.79309389,2.068710068,6084.825962 +7067,MN,553,41,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,123 WAVERLY PLACE,R6,C4-5, , , , ,LC, , , ,Y,D3,3,0, ,DARLINGTON ESTATES IN,6427,37939,807,37132,807,0,0,0,0,0,2,1,9,47,47,46.5,119.25,47,98, ,2,Y,5,2,350550,2595150,0,0,1917,1987,0,Greenwich Village Historic District, ,5.9,2.43,0,4.8,1,1005530041,0,63,984406,206297,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,341.4471424,5957.521314,2244600,8,0,7067,7067,27,6075,17.50333405,17.50333405,0,17.50333405,0,472.5900192 +7068,MN,450,44,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,61 ST MARKS PLACE,R8B, , , , , , , , , ,N,C2,2,0, ,"LEWIS, NANCY",2348,6972,0,6972,0,0,0,0,0,0,2,1,4,5,5,25,93.92,25,74,E,3,N,5,5,134208,182449,0,0,1900,0,0, , ,2.97,4,0,4,1,1004500044,0,38,988064,204593,12c, ,102 019,10205,E-216,0, ,1, , 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LLC,2369,10560,1760,8800,0,1760,0,0,0,0,2,1,6,21,23,25,94.75,25,76, ,3,N,5,2,396000,1235250,0,0,1900,0,0, , ,4.46,4,0,4,1,1004520046,0,40,988281,205034,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,250.88748,2514.603976,839250,12,0,7099,7099,11,2475,22.86222267,28.31888962,5.456666946,24.09953586,2.048941358,265.0948944 +7100,MN,639,1,102,79,2002,2,3,10014,L005,6,15,6100,1,2,3B,445 WEST STREET,C6-3, , , , , , , , , ,N,D8,3,0,P,WESTBETH CORP HOUSING,96530,637555,21134,616421,0,0,0,0,0,21134,2,1,13,384,384,294,374,210,152, ,0,Y,3,5,3150000,8401050,3150000,8401050,1926,0,0, ,BELL TELEPHONE LABORATORIES COMPLEX,6.6,7.52,6,10,1,1006390001,0,79,981735,207614,12a, ,103 013,10210, ,1006390001,12/24/1991,1,1,1,17V1.1,0,1299.998199,101586.1818,5251050,9,1,7100,7100,456,102600,7.478888988,13.4711113,5.992222309,8.447094691,1.494197748,3851.875179 +7101,MN,877,57,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,144 EAST 22 STREET,R9A, , , , , , , , , ,N,D6,4,0, ,GRAMERCY PARK ESTATES,5925,24894,1000,23894,0,1000,0,0,0,0,2,1,6,46,47,60,98.75,60,83, ,3,N,5,2,783000,3474450,0,0,1925,1974,0, , ,4.2,7.52,0,7.52,1,1008770057,0,68,988529,208263,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,325.9741689,6213.753951,2691450,11,0,7101,7101,28,6300,22.27111053,22.27111053,0,22.27111053,0,623.591095 +7102,MN,203,23,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,78 BOWERY,C6-1G, , , , , ,LI, , , ,N,O6,5,0, ,BOWERY TOWER LLC,2529,14697,14697,0,12252,2445,0,0,0,0,2,1,8,0,6,25.08,100,25,100, ,3,N,5,2,203400,788075,0,0,1915,2016,0, , ,5.81,3.44,6,6.5,1,1002030023,0,41,985347,200472,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,258.0859514,2599.950087,584675,0,0,7102,7102,12,2700,40.21222305,40.21222305,0,40.21222305,0,482.5466766 +7103,MN,231,8,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,427 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"THE A.J.D. BUILDING,",5121,24100,24100,0,14475,4800,0,4825,0,0,2,1,5,0,6,50.42,100,50,100, ,3,Y,3,2,445050,8584650,0,0,1910,2007,1999,SoHo-Cast Iron Historic District, ,4.71,0,5,6.5,1,1002310008,0,47,983756,201578,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,318.594784,5703.042524,8139600,0,0,7103,7103,25,5625,12.89000034,14.86555576,1.97555542,13.09395588,0.55643801,327.348897 +7104,MN,575,33,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,42 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,BLAKEWOOD LLC,2160,8113,0,6305,0,0,0,0,0,0,2,1,6,1,1,20.92,103.25,21,99, ,3,N,5,1,282874,608513,0,0,1900,1985,2007,Greenwich Village Historic District, ,3.76,2.43,0,4.8,1,1005750033,0,63,985278,207107,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,252.9727572,2129.700503,325639,8,0,7104,7104,10,2250,24.42399979,26.77733231,2.35333252,24.65933304,0.705999756,246.5933304 +7105,MN,471,41,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,375 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,375 BROOME ST INC,2875,13473,1800,11673,0,1800,0,0,0,0,2,1,5,22,24,25.33,118.25,25,107, ,3,N,5,1,161100,732600,0,0,1900,0,0, , ,4.69,6.02,6,6.5,1,1004710041,0,41,985246,201611,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,287.7513111,2847.002223,571500,0,0,7105,7105,12,2700,28.33399963,35.60822296,7.274223328,28.94018491,2.010489118,347.2822189 +7106,MN,770,66,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,248 WEST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"CHELSEA PARTNERS, LLC",2104,6982,0,6982,0,0,0,0,0,0,2,1,5,15,15,22.83,92,23,48, ,3,N,5,2,81450,830700,0,0,1920,1986,2005, , ,3.32,4,0,4,1,1007700066,0,87,984633,210130,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,238.0840459,2275.13665,749250,7,0,7106,7106,9,2025,22.20999908,25.25555611,3.045557022,23.08933258,1.257210223,207.8039932 +7107,MN,809,73,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,152 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K2,5,0, ,152 WEST 34TH ST REAL,3613,10100,10100,0,1000,6824,0,2276,0,0,2,1,3,0,1,36.58,98.75,36.58,97, ,3,N,5,2,1629000,7979850,0,0,1930,2014,2014, , ,2.8,10,15,15,1,1008090073,0,101,986980,212700,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,279.8824044,3815.41691,6350850,6,0,7107,7107,18,4050,41.24700165,41.63111115,0.384109497,41.28931003,0.11967134,743.2075806 +7108,MN,391,50,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,319 EAST 8 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,HENRY CLYDE ASSOCIATE,3022,18260,0,18260,0,0,0,0,0,0,2,1,6,15,15,35.08,93.92,0,0, ,0,Y,5,5,180000,1514700,0,0,2000,0,0, , ,6.04,4,0,4,1,1003910050,0,2602,989939,203547,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,262.2489557,3000.497625,1334700,12,1,7108,7108,13,2925,8.318888664,8.318888664,0,8.318888664,0,108.1455526 +7109,MN,644,36,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,829 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,817,1678,1678,0,839,839,0,0,0,0,2,1,2,0,2,18.75,44.92,18.75,44, ,3,Y,5,2,225000,739350,0,0,1940,0,0,Gansevoort Market Historic District, ,2.05,0,5,6.5,1,1006440036,0,79,982085,208837,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,135.4099092,906.9010128,514350,8,1,7109,7109,3,675,13.47799969,13.47799969,0,13.47799969,0,40.43399906 +7110,MN,743,70,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,336 WEST 20 STREET,R7B, , , , , , , , , ,N,M3,8,0,X,ST PETERS EPISCOPAL C,17220,18451,18451,0,0,0,0,0,0,18451,2,2,2,0,0,143.5,120,143.5,120, ,0,N,5,5,1408500,2100150,1408500,2100150,1900,0,0,Chelsea Historic District, ,1.07,3,0,3,1,1007430070,0,89,983771,210313,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,525.6317283,17183.83423,691650,7,0,7110,7110,75,16875,15.57888889,21.9711113,6.392222404,17.01759555,1.938744142,1276.319666 +7111,MN,572,71,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,55 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,JANART 55 WEST 8 LLC,2348,10788,1600,9188,0,1600,0,0,0,0,2,1,6,9,10,25,93.92,25,80, ,3,N,5,2,192897,1081897,0,0,1900,1986,2008,Greenwich Village Historic District, ,4.59,3.44,3.4,6.5,1,1005720071,0,63,984593,206512,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,248.2967109,2577.088575,889000,8,0,7111,7111,11,2475,18.70499992,18.70499992,0,18.70499992,0,205.7549992 +7112,MN,629,1,102,79,4000,2,3,10014,L005,6,15,6100,1,2,3B,675 HUDSON STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,DAVID ELLIS REAL ESTA,5860,29300,17580,11720,0,17580,0,0,0,0,2,1,5,5,13,167.83,70,167,70, ,1,Y,1,2,1170000,6018300,0,0,1910,1964,2005,Gansevoort Market Historic District, ,5,0,5,6.5,1,1006290001,0,79,982731,209014,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,434.8902017,6842.848581,4848300,8,0,7112,7112,32,7200,16.28333473,17.25888824,0.975553513,16.58298206,0.163878912,530.655426 +7113,MN,619,45,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,119 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,119 CHRISTOPHER LLC,2296,11016,1400,9616,0,1400,0,0,0,0,2,1,6,22,24,25,91.83,25,78, ,3,N,5,2,200700,1158300,0,0,1910,1986,0,Greenwich Village Historic District, ,4.8,2.43,0,4.8,1,1006190045,0,73,982694,206466,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,245.0718144,2431.686154,957600,9,0,7113,7113,9,2025,20.56999969,20.56999969,0,20.56999969,0,185.1299973 +7114,MN,608,19,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,140 WEST 13 STREET,R6, , , , , , , , , ,N,S3,4,0,P,SCAFA LLC,2452,5436,1359,4077,0,1359,0,0,0,0,2,1,4,3,4,23.75,103.25,23.75,42,E,3,N,5,5,168313,384954,0,0,1800,0,0,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1006080019,0,71,984473,207858,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,262.2755994,2571.336956,216641,8,0,7114,7114,12,2700,24.04400063,29.49222183,5.448221207,24.80464856,1.738754548,297.6557827 +7115,MN,78,7510,101,15.02,1003,2,1,10038,E006,1,15,7700, ,1, ,110 FULTON STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,110 FULTON ST CONDOMI,2015,23497,1497,22000,0,1497,0,0,0,0,2,1,15,29,31,25,81.08,24,79, ,2,Y,3,2,693450,2671200,649270,2272950,1929,1989,0, , ,11.66,10,10,10,1,1000787510,2115,1502,982275,197835,12b, ,11S 011,10102, ,1000780019,9/16/2010,1, , ,17V1.1,7,214.0556004,2169.213313,1977750,4,0,7115,7115,9,2025,28.83300018,33.07588959,4.242889404,29.91144477,1.501234643,269.2030029 +7116,MN,525,27,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,112 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,CASTEGA REALTY ASSOCI,2500,10816,0,10816,0,0,0,0,0,0,2,1,5,20,20,25,100,25,84, ,3,N,5,2,126000,1089000,0,0,1900,0,0,South Village Historic District, ,4.33,3.44,0,6.5,1,1005250027,0,65,984061,204389,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,255.229772,2601.648463,963000,9,0,7116,7116,11,2475,23.62666702,23.62666702,0,23.62666702,0,259.8933373 +7117,MN,613,68,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,174 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K2,5,0,P,HUANG'S HOLDING CORP,2155,4300,4300,0,0,4300,0,0,0,0,2,1,2,0,5,82.08,49,82.08,78.33, ,3,Y,3,2,123750,741150,0,0,1920,0,0,Greenwich Village Historic District, ,2,3.44,2,6.5,1,1006130068,0,71,983782,207425,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,237.0215705,2471.586615,617400,8,0,7117,7117,11,2475,24.94000053,24.94000053,0,24.94000053,0,274.3400059 +7118,MN,284,25,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,171 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,WING NING CORP,2608,12943,2100,10843,0,2100,0,0,0,0,2,1,6,11,12,26.08,100,26,98, ,3,N,5,2,177750,1056150,0,0,1920,1988,0, , ,4.96,3.44,0,6.5,1,1002840025,0,6,987115,199353,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,259.2313399,2662.6945,878400,16,0,7118,7118,13,2925,20.93000031,27.4117775,6.481777191,22.42619676,2.55587398,291.5405579 +7119,MN,7,7502,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,32 WATER STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,3095,14894,5087,9807,0,5087,0,0,0,0,2,1,4.5,1,2,29.42,106.58,30,107, ,0,Y,4,5,419382,1620000,0,5400,1920,1996,0,Fraunces Tavern Block Historic District, ,4.81,10,15,15,1,1000077502,1695,9,981212,195537,12b, ,101S002,10101, ,1000070026,6/8/2007,1,1,1,17V1.1,7,294.3645108,3535.386698,1200620,17,1,7119,7119,17,3825,6.873000145,7.723333359,0.850333214,7.058320326,0.260566325,119.9914455 +7120,MN,475,17,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,53 WOOSTER STREET,M1-5B, , , , , , , , , ,N,S1,4,0, ,53 WOOSTER STREET HOL,1374,3096,1224,1872,0,1224,0,0,0,0,2,1,3,1,2,18,75,18,36,E,3,N,5,5,59042,102688,0,0,1899,0,0,SoHo-Cast Iron Historic District, ,2.25,0,5,6.5,1,1004750017,0,47,983562,202642,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,193.0240117,1447.959476,43646,0,1,7120,7120,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +7121,MN,569,7502,102,61,1002,2,2,10003,L003,6,15,5700,3,2, ,8 EAST 12 STREET,C6-1, , , , , , , , , ,N,R4,3,0,P,OWNER / AGENT,2581,28655,0,28655,0,0,0,0,0,0,2,1,12,12,12,25,103.25,0,0, ,0,N,5,5,175500,2322000,4720,4720,1908,1908,0, , ,11.1,3.44,6,6.5,1,1005697502,205,61,985941,206742,12c, ,103 022,10207, ,1005690010,11/26/1985,1, , ,17V1.1,7,266.6010704,2707.5172,2146500,8,0,7121,7121,13,2925,34.37900162,35.7266655,1.347663879,34.54094989,0.397036917,449.0323486 +7122,MN,773,1,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,258 8 AVENUE,C2-7A, , , , , , , , , ,N,K2,5,0, ,278 8TH ASSOCIATES,19750,39500,39500,0,0,39500,0,0,0,0,2,1,2,0,4,197.5,100,197,100, ,2,N,3,2,6750000,10630350,0,0,1932,2000,0, , ,2,7.52,2,7.5,1,1007730001,0,91,984828,210890,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,610.370475,20613.07994,3880350,2,0,7122,7122,91,20475,22.60655594,24.4822216,1.875665665,23.36789858,0.18718632,2126.478771 +7123,MN,557,22,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,70 EAST 12 STREET,C6-1, , , , , , , , , ,N,D6,4,0, ,SGRC 70 LLC,5542,42000,1500,40500,0,1500,0,0,0,0,2,1,12,57,62,47,117,42,94, ,3,Y,3,2,1287000,6607350,0,0,1987,0,0, , ,7.58,3.44,6,6.5,1,1005570022,0,61,986910,206228,12c, ,103 026,10207, ,1005570024,11/7/1986,1, , ,17V1.1,0,314.3606383,5741.030726,5320350,12,0,7123,7123,24,5400,41.29888916,44.03666687,2.73777771,41.76375024,0.862038045,1002.330006 +7124,MN,393,5,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,167 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,167 AVENUE B ASSOCIAT,1767,7150,1000,6150,0,1000,0,0,0,0,2,1,5,8,10,19,93,19,79, ,3,N,5,2,5236,21957,0,0,1910,1989,0, , ,4.05,4,0,4,1,1003930005,0,28,989950,204175,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,225.1216352,1640.223845,16721,12,1,7124,7124,8,1800,9.383999825,11.14133263,1.757332802,9.603666425,0.581183196,76.8293314 +7125,MN,700,40,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,508 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,C4,2,0,P,508 W 29TH LLC,4937,19200,0,19200,0,0,0,0,0,0,2,1,5,29,29,50,98.75,50,84,E,0,N,5,2,444150,1787850,0,0,1901,0,0, , ,3.89,7.52,6,10,1,1007000040,0,99,983618,213088,8b, ,105S015,10301, ,0, ,1, , ,17V1.1,0,303.0940093,5077.35767,1343700,6,1,7125,7125,23,5175,11.49300003,11.49300003,0,11.49300003,0,264.3390007 +7126,MN,530,11,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,7 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,C6,2,0,P,7 GREAT JONES CORP,2500,18170,2175,15995,0,2175,0,0,0,0,2,1,8,7,8,25,100,25,100, ,3,N,5,2,51220,754959,7080,7080,1900,2009,0,NoHo Historic District, ,7.27,0,5,6.5,1,1005300011,0,5502,985874,204236,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,261.0503497,2741.792449,703739,9,0,7126,7126,14,3150,40.02500153,41.24333191,1.218330383,40.18523925,0.394197508,562.5933495 +7127,MN,613,12,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,246 WEST 11 STREET,R6, , , , , , , , , ,N,C3,2,0, ,246 W 11TH ST CP,1600,2400,0,2400,0,0,0,0,0,0,2,2,3,4,4,20,80,20,47,E,3,N,5,5,170579,286709,0,0,1910,0,0,Greenwich Village Historic District, ,1.5,2.43,0,4.8,1,1006130012,0,73,983366,207440,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,201.7313482,1613.964689,116130,8,0,7127,7127,7,1575,25.34199905,27.95777893,2.615779877,26.01301547,1.070541837,182.0911083 +7128,MN,230,5,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,321 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0,P,"321 NEW CANAL, LLC",1914,4476,1860,2616,0,1860,0,0,0,0,2,1,3,2,3,19.58,95.25,20,93,E,3,Y,5,2,272250,360000,0,0,1915,1989,0,SoHo-Cast Iron Historic District, ,2.34,0,5,6.5,1,1002300005,0,47,983503,201713,12a, ,101N046,10105,E-364,0, ,1, , ,17V1.1,0,235.817131,1930.963378,87750,0,1,7128,7128,8,1800,11.39777756,11.39777756,0,11.39777756,0,91.18222046 +7129,MN,741,63,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,356 WEST 18 STREET,R8B, , , , , , , , , ,N,I5,8,0,P,COMMUNITY HEALTH PROJ,4600,24706,24706,0,0,0,0,0,0,24706,2,1,6,0,1,50,92,50,82, ,0,N,5,5,273600,2174400,273600,2065950,1900,1998,0, , ,5.37,4,0,4,1,1007410063,0,83,983384,209986,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,295.1921434,4957.179227,1900800,7,0,7129,7129,23,5175,15.59444427,16.85888863,1.264444351,15.64942012,0.257859553,359.9366627 +7130,MN,206,31,102,41,5004,2,1,10013,L006,5,15,6800,1,2, ,213 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,K1,5,0, ,VJHC HOLDING CORP.,4326,4237,4237,0,0,4237,0,0,0,0,2,1,1,0,4,58.58,45.33,59,45, ,3,Y,5,2,913500,2910600,0,0,1910,0,0, , ,0.98,3.44,6,6.5,1,1002060031,0,41,984542,200715,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,281.8799854,4555.581859,1997100,14,0,7130,7130,19,4275,25.95999908,25.95999908,0,25.95999908,0,493.2399826 +7131,MN,879,17,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,131 EAST 23 STREET,C6-4A, , , , , , , , , ,N,D6,4,0, ,EAST 23 FO LLC,4875,56670,3500,53170,0,3500,0,0,0,0,2,1,12,66,67,50,97.5,50,98, ,3,N,3,2,1980000,7173000,0,0,1925,1980,0, , ,11.62,10,10,10,1,1008790017,0,68,988471,208813,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,305.8424454,5338.667408,5193000,11,0,7131,7131,24,5400,28.24111176,28.68088913,0.439777374,28.25943581,0.087879091,678.2264595 +7132,MN,413,4,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,112 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,CHINATOWN PRESERVATIO,3375,12000,4000,8000,0,4000,0,0,0,0,2,1,6,16,19,38.25,88.25,38,74, ,3,N,5,2,180000,960300,142200,758637,1909,1985,0, , ,3.56,4,4,4,1,1004130004,0,18,986543,200905,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,254.5019165,3311.835081,780300,13,0,7132,7132,14,3150,39.72000122,39.72000122,0,39.72000122,0,556.0800171 +7133,MN,492,43,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,9 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,9 SPRING LLC,2422,13403,1530,11873,0,1530,0,0,0,0,2,1,7,26,28,25.25,100.92,26,90, ,3,Y,5,2,157500,1193850,0,0,1900,0,0, , ,5.53,6.02,6,6.5,1,1004920043,0,43,985793,202107,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,253.5251586,2578.782144,1036350,0,0,7133,7133,12,2700,39.76666641,39.76666641,0,39.76666641,0,477.1999969 +7134,MN,611,45,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,24 CHARLES STREET,R6, , , , , , , , , ,N,C7,4,0, ,CHARLES STREET ASSOC,3000,14450,1500,12950,0,1500,0,0,0,0,2,1,6,18,19,40,75,39,67, ,2,N,3,2,540000,1812600,0,0,1910,1972,0,Greenwich Village Historic District, ,4.82,2.43,0,4.8,1,1006110045,0,71,983865,207051,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,238.3908936,3277.503708,1272600,8,0,7134,7134,15,3375,19.84000015,23.45000076,3.61000061,20.40900752,1.216955481,306.1351128 +7135,MN,52,21,101,13,1001,2,1,10006,E010,1,15,7700,1,1,1A,120 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,D7,4,0, ,120 LIBERTY STREET AS,5166,57945,7500,50445,0,7500,0,0,0,0,2,1,13,21,22,45.08,112,45,110, ,2,Y,4,2,900000,2668050,0,0,1900,1980,0, , ,11.22,10,15,15,1,1000520021,0,13,980795,197864,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,354.142026,5951.01827,1768050,3,0,7135,7135,27,6075,15.64999962,17.55500031,1.905000687,17.45370399,0.386862115,471.2500076 +7136,MN,878,1,105,68,2001,2,2,10010,E014,13,14,5300,1,5, ,287 PARK AVENUE SOUTH,C6-4A,R9A, , , , , , , , ,Y,O6,5,0,P,SHS UPPER CITY NY II,11599,106453,106453,0,96453,10000,0,0,0,0,2,1,9,0,2,58.75,150,58.75,150, ,3,Y,3,2,7650000,13014000,0,0,1893,1940,0, , ,9.18,10,10,10,1,1008780001,0,68,988039,208690,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,510.1856625,12027.46156,5364000,11,0,7136,7136,54,12150,26.03777695,32.49111176,6.453334808,26.36348071,1.356580346,1423.627958 +7137,MN,539,37,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,159 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,D7,4,0, ,BLEEKER FISH LLC,5000,28380,11000,17380,4400,6600,0,0,0,0,2,1,7.5,18,21,50,100,44,100, ,3,N,5,0,405000,4335750,0,631904,1920,2004,2004,South Village Historic District, ,5.68,3.44,0,6.5,1,1005390037,0,65,984298,204781,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,306.8072617,5163.135536,3930750,9,0,7137,7137,23,5175,25.23555565,25.23555565,0,25.23555565,0,580.4177799 +7138,MN,422,7502,103,36.01,2000,1,1,10002,L018,5,14,6500,2,3, ,147 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,3750,19103,4476,14627,0,4476,0,0,0,0,2,1,6,25,26,50,75,0,0, ,0,N,5,5,306000,1863900,7080,7080,1900,0,0, , ,5.09,6.02,6,6.5,1,1004227502,654,3601,987107,202671,12c, ,102 002,10204, ,1004220054,1/2/1990,1, , ,17V1.1,7,259.9731,4038.50714,1557900,1,0,7138,7138,18,4050,36.93666458,38.33555603,1.398891449,37.01438077,0.320432067,666.2588539 +7139,MN,511,12,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,592 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,594 BROADWAY ASSOCIAT,17425,231840,231840,0,211512,20328,0,0,0,0,2,1,12,0,96,84,199.33,84,199, ,0,Y,5,2,3919500,27615600,0,0,1900,2014,2014,SoHo-Cast Iron Historic District, ,13.31,0,5,6.5,1,1005110012,0,43,985163,203340,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,594.3901257,18161.85424,23696100,9,0,7139,7139,82,18450,36.82110977,42.59666824,5.775558472,37.09781717,1.108752365,3042.021008 +7140,MN,106,7503,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1, ,272 WATER STREET,C6-2A, , , , , ,LM, , , ,N,R4,3,0, , ,2910,15250,0,15250,0,0,0,0,0,0,2,1,7,11,11,25.33,117.67,25.33,117.67, ,0,Y,0,5,332101,1964250,0,0,1900,0,0, , ,5.24,6.02,6,6.5,1,1001067503,2304,1501,983880,197516,12b, ,101S023,10103, ,1001060004,2/9/2012,1,1,1,17V1.1,7,286.1991301,3074.094203,1632150,4,1,7140,7140,14,3150,9.201000214,9.201000214,0,9.201000214,0,128.814003 +7141,MN,574,35,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,18 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,QHM HOLDINGS LLC,2021,5040,0,3780,0,0,0,0,0,0,2,1,3,1,1,21.33,94.75,21.33,94.75, ,3,N,5,1,114353,298929,0,0,1899,2016,0,Greenwich Village Historic District, ,2.49,2.43,0,4.8,1,1005740035,0,63,985361,206763,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.1803025,2054.084663,184576,8,0,7141,7141,10,2250,24.13299942,29.95111084,5.81811142,25.4599329,2.137496496,254.599329 +7142,MN,97,45,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,134 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,A9,1,0, ,TITOCITY1990 LLC,458,1845,0,1845,0,0,0,0,0,0,2,1,5,1,1,18,25.5,18,25.5, ,3,Y,5,2,51471,125469,0,0,1901,2004,0,South Street Seaport Historic District, ,4.03,6.02,6,6.5,1,1000970045,0,1501,983466,197048,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,93.81818175,529.4156271,73998,4,1,7142,7142,2,450,5.993332863,5.993332863,0,5.993332863,0,11.98666573 +7143,MN,445,55,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,59 EAST 3 STREET,R8B, , , , , , , , , ,N,D6,4,0, ,59-61 EAST 3RD STREET,6251,28314,2139,26175,0,2139,0,0,0,0,2,2,6,79,82,65,96.17,25,81, ,0,N,5,2,639000,2962800,0,0,1910,0,0, , ,4.53,4,0,4,1,1004450055,0,38,987342,203555,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,329.8793326,6510.973946,2323800,1,0,7143,7143,30,6750,29.97444344,36.13111115,6.156667709,30.77283249,1.772222696,923.1849747 +7144,MN,391,1,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,127 AVENUE B,R7A, , , , , , , , , ,N,C6,2,0,P,CALVERT VAUX LTD,4371,15971,0,15971,0,0,0,0,0,0,2,1,5,7,7,47,93,45,92, ,3,N,3,2,33672,149345,0,0,1910,2005,0, ,"CHILDREN'S AID SOCIETY, TOMPKINS SQ",3.65,4,0,4,1,1003910001,0,2602,989671,203672,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,291.4059269,4795.72283,115673,12,1,7144,7144,22,4950,8.318888664,12.86999989,4.551111221,8.749484669,1.102860431,192.4886627 +7145,MN,885,73,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,130 EAST 30 STREET,C6-2A, , , , , , , , , ,N,B3,1,0, ,"QUINE, CAROLYN A",987,3080,0,2310,0,0,0,0,0,0,2,1,2,2,2,20,49.33,20,40, ,3,N,5,1,115269,124416,0,0,1901,0,0, , ,3.12,6.02,6,6.5,1,1008850073,0,72,989222,210308,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,142.6268528,1044.199619,9147,10,0,7145,7145,4,900,32.84000015,32.85333252,0.013332367,32.84333324,0.005773084,131.373333 +7146,MN,58,1,101,13,1000,2,1,10007,E010,1,15,7700,1,1, ,185 GREENWICH STREET,C6-4,C5-3, , , , ,LM, , , ,Y,O4,5,1,O,THE PORT AUTHORITY OF,833945,8837500,8837499,0,2900000,50000,0,0,0,47499,2,11,104,0,1,950,750,200,198, ,1,Y,5,5,225000000,1459519424,225000000,1459519424,2009,0,0, , ,10.6,10,10,10,1,1000580001,0,13,980828,198546,12b, ,101S038,10102, ,0, ,1,1,1,17V1.1,0,4579.954711,701832.2044,1234520064,3,1,7146,7146,3118,701550,7.869999886,28.86555672,20.99555683,9.976457425,4.160863247,31106.59425 +7147,MN,16,7507,101,317.04,2003,2,1,10280,E010,1,15,8900,1,1, ,300 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,BATTERY POINTE CONDOM,25978,106271,3168,103103,0,3168,0,0,0,0,2,1,9,153,154,171.38,181.32,0,0, ,0,Y,5,5,3386251,19038607,3386251,19038607,1986,0,0, , ,4.09,0,0,0,1,1000167507,450,31704,979385,197552,12b, ,101S090,10101, ,1000160060,11/30/1987,1,1, ,17V1.1,7,701.4341137,28520.06939,15652400,15,1,7147,7147,126,28350,12.52777767,13.91111088,1.383333206,13.08977619,0.317415444,1649.3118 +7148,MN,880,14,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,121 EAST 24 STREET,C6-2A, , , , , , , , , ,N,O6,5,0, ,"KAEH REALTY, LLC",4938,58744,58744,0,54694,4050,0,0,0,0,2,1,12,0,18,50,98.75,50,85, ,0,N,5,5,1084500,5695650,0,0,1913,1987,0, , ,11.9,6.02,6,6.5,1,1008800014,0,68,988485,209100,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,301.3409273,5011.797036,4611150,11,0,7148,7148,21,4725,29.2211113,29.2211113,0,29.2211113,0,613.6433373 +7149,MN,345,48,103,22.01,1000,1,2,10002,L018,7,14,7600,1,3,2A,115 PITT STREET,R7A,R8A, , , , , , , , ,Y,D3,3,0,P,LP SOLUTIONS LLC,66919,170100,0,170100,0,0,0,0,0,0,2,1,6,172,172,250,200,250,200,E,1,Y,3,2,3600000,18030600,3600000,18030600,1983,0,0, , ,2.54,4,0,4,1,1003450048,0,2201,989191,201630,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,1232.372953,67839.94133,14430600,1,0,7149,7149,301,67725,16.66499901,21.13000107,4.46500206,17.92409225,1.144526957,5395.151768 +7150,MN,480,21,102,41,6000,2,1,10012,E055,5,15,6800,1,2,1G,34 SPRING STREET,C6-2,C6-1, , , , ,LI, , , ,Y,I5,8,0,O,NEW YORK CITY HLT HSP,6425,8682,8682,0,0,0,0,0,0,8682,2,1,2,0,1,51.08,136.08,51,133, ,2,Y,5,2,589500,1029600,589500,1029600,1900,0,0, , ,1.35,6.02,6,6.5,1,1004800021,0,41,985392,202145,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,367.4384763,6620.74842,440100,0,0,7150,7150,31,6975,38.9980011,41.06377792,2.065776825,39.26047393,0.610467004,1217.074692 +7151,MN,507,13,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,250 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"PODZIBA, PARTNER, BE",2003,7440,1250,6190,0,1250,0,0,0,0,2,1,5,8,10,24.5,81.75,25,59, ,3,N,5,2,47951,173980,0,0,1925,1962,0, , ,3.71,6.02,6,6.5,1,1005070013,0,43,986032,202887,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,215.7322197,1988.840941,126029,9,0,7151,7151,9,2025,44.71333313,44.71333313,0,44.71333313,0,402.4199982 +7152,MN,940,46,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,326 EAST 35 STREET,R8, , , , , , , , , ,N,C7,4,0, ,326 E. 35TH LLC,3750,13752,1000,12752,0,1000,0,0,0,0,2,1,6,30,31,37.5,100,38,82, ,3,N,5,2,288450,3532050,0,0,1910,1988,2009, , ,3.67,6.02,0,6.5,1,1009400046,0,78,991417,210579,8d, ,104 024,10309, ,0, ,1, ,1,17V1.1,0,280.8197625,3905.054674,3243600,10,1,7152,7152,18,4050,8.051111221,12.19655514,4.145443916,8.281413661,0.949561285,149.0654459 +7153,MN,741,9,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,349 WEST 17 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,"VON BISMARCK, VANESSA",2024,4361,0,3488,0,0,0,0,0,0,2,1,4,2,2,22,92,22,48, ,3,N,5,1,63136,294054,0,0,1900,2014,2014, , ,2.15,4,0,4,1,1007410009,0,83,983412,209861,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,236.7127178,2242.5048,230918,7,0,7153,7153,9,2025,15.59444427,17.28999901,1.695554733,15.91419729,0.610316647,143.2277756 +7154,MN,926,38,106,64,4001,2,2,10010,E005,13,14,5900,1,6,1B,351 1 AVENUE,C1-6A, , , , , , , , , ,N,K1,5,0,P,CKMR CORPORATION,11160,11160,11160,0,0,11160,0,0,0,0,2,1,1,0,1,90,100,90,100, ,3,Y,5,2,877500,1693800,0,0,1965,0,0, , ,1,4,2,4,1,1009260038,0,64,989783,207215,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,495.1077054,11406.69296,816300,5,0,7154,7154,51,11475,13.36222172,13.69377804,0.33155632,13.36872282,0.045969749,681.8048639 +7155,MN,40,16,101,7,1011,2,1,10005,E004,1,15,7700,1,1,1B,52 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,H3,5,0, ,SCCQ DOWNTOWN LLC,6497,119467,2000,0,0,2000,0,0,0,0,2,1,20,0,2,68.42,91.08,68,91, ,3,Y,3,2,5580000,20671650,0,0,1902,0,0, , ,18.39,10,15,15,1,1000400016,0,7,981778,196750,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,338.4784635,6714.181803,15091700,17,0,7155,7155,29,6525,20.4109993,30.80444527,10.39344597,22.28519867,3.501209994,646.2707615 +7156,MN,848,29,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,41 EAST 19 STREET,M1-5M, , , , , , , , , ,N,C6,2,0, ,41 TENANTS CORP,2300,6550,0,6550,0,0,0,0,0,0,2,1,4,7,7,25,92,25,69, ,3,N,5,1,154709,573168,4720,4720,1925,1959,0,Ladies' Mile Historic District, ,2.85,0,5,6.5,1,1008480029,0,52,987360,208232,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,246.5745542,2482.698552,418459,5,0,7156,7156,10,2250,35.19100189,35.19100189,0,35.19100189,0,351.9100189 +7157,MN,526,26,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,83 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MACDOUGAL & SIXTH REA,3975,18634,2130,16504,0,2130,0,0,0,0,2,1,7,38,40,39.75,100,40,86, ,3,N,5,2,378000,2431800,0,1714205,1910,2003,0,South Village Historic District, ,4.69,3.44,0,6.5,1,1005260026,0,65,983776,204849,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,281.5993302,4062.107013,2053800,9,0,7157,7157,17,3825,20.00333405,20.00333405,0,20.00333405,0,340.0566788 +7158,MN,882,48,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,368 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,366-368 THIRD OWNER L,2763,11356,2000,9356,0,2000,0,0,0,0,2,1,5,9,10,24.67,112,25,112,E,3,N,5,2,82458,615123,0,0,1900,0,0, , ,4.11,10,2,10,1,1008820048,0,68,989292,209342,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,279.6879456,2839.416406,532665,11,0,7158,7158,12,2700,33.1230011,37.06888962,3.945888519,33.45182514,1.090585974,401.4219017 +7159,MN,886,81,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,110 EAST 31 STREET,C4-5A, , , , , , , , , ,N,O2,5,0, ,110 EAST 31ST STREET,1876,6200,6200,0,6200,0,0,0,0,0,2,1,4,0,1,19,98.75,19,50,E,3,N,5,2,335250,716850,0,0,1915,2007,0, , ,3.3,4,4,4,1,1008860081,0,72,989192,210591,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,239.0641759,1816.518343,381600,10,0,7159,7159,9,2025,33.23199844,36.16355515,2.931556702,33.55772697,0.921299388,302.0195427 +7160,MN,847,27,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,33 EAST 18 STREET,M1-5M, , , , , , , , , ,N,L8,6,0,P,216 18 NOMINEE CORP,12400,142400,142400,0,0,10000,0,132400,0,0,2,2,7,0,20,47.58,184,48,184, ,3,Y,4,2,3429000,10500750,0,0,1900,0,0,Ladies' Mile Historic District, ,11.48,0,5,6.5,1,1008470027,0,52,987181,208146,8d,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,567.8812464,13213.41453,7071750,7,0,7160,7160,60,13500,36.35800171,42.44555664,6.087554932,36.784972,1.377835503,2207.09832 +7161,MN,871,28,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,129 EAST 15 STREET,R8B, , , , , , , , , ,N,S1,4,0,P,129 E. 15 HOLDING COR,1291,2800,1400,1400,0,1400,0,0,0,0,2,1,3,1,2,12.5,103.25,12.5,52,E,3,N,5,5,69823,96007,0,0,1901,0,0, , ,2.17,4,0,4,1,1008710028,0,50,987673,206924,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,240.6823205,1393.985844,26184,5,0,7161,7161,6,1350,33.78900146,33.78900146,0,33.78900146,0,202.7340088 +7162,MN,230,3,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,317 CANAL STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,TRIAD CAPITAL LLC,1275,5080,1270,3810,0,1270,0,0,0,0,2,1,4,3,5,19.42,68.67,19,69, ,3,Y,5,2,47910,704426,0,0,1915,2008,0,SoHo-Cast Iron Historic District, ,3.98,0,5,6.5,1,1002300003,0,47,983522,201675,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,179.8097289,1354.957275,656516,0,1,7162,7162,7,1575,11.39777756,11.39777756,0,11.39777756,0,79.7844429 +7163,MN,447,9,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,306 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,TRES THREE LLC,4850,19850,3900,15950,0,1950,0,0,0,0,2,2,5,32,37,50,97,25,80, ,3,N,5,2,787500,2371050,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,4.09,4,0,4,1,1004470009,0,38,987540,204138,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,300.6606602,5030.167922,1583550,1,0,7163,7163,20,4500,28.15800095,33.53777695,5.379776001,28.42698975,1.172494996,568.5397949 +7164,MN,795,1,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,180 WEST 20 STREET,C6-3A, , , , , , , , , ,N,D6,4,0,P,20TH AND SEVENTH ASSO,26467,274659,30778,243881,0,20000,10778,0,0,0,2,1,15,254,259,138.67,184,184,138, ,0,Y,3,2,5085000,39995100,0,22991638,2000,0,0, , ,10.38,7.52,6,7.5,1,1007950001,0,87,985124,209522,8d, ,103 030,10305,E-92,0, ,1, , ,17V1.1,0,681.7504785,27487.59765,34910100,7,0,7164,7164,123,27675,27.66555595,29.24777794,1.582221985,27.76966253,0.342859096,3415.668491 +7165,MN,817,69,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,18 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C4,2,0, ,18 W. 16TH STREET COR,2168,6269,0,6269,0,0,0,0,0,0,2,1,4,9,9,21,103.25,21,64,E,3,N,5,2,89350,349334,0,0,1920,1983,2011, , ,2.89,6.02,6,6.5,1,1008170069,0,54,985854,208052,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,255.6052632,2242.826555,259984,7,0,7165,7165,10,2250,30.80200005,32.17688751,1.374887466,30.93948879,0.41246624,309.3948879 +7166,MN,301,13,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,89 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,99 CANAL REALTY INC.,1250,5020,5020,0,1250,1270,0,2500,0,0,2,1,0,0,4,24.96,50.25,24.96,50.25, ,3,Y,3,0,72000,792000,0,0,1900,0,0, , ,4.02,3.44,6,6.5,1,1003010013,0,16,986070,199969,12d,Y,101N050,10107, ,1003010001,5/14/2012,1, , ,17V1.1,0,155.867748,1322.749114,720000,13,0,7166,7166,6,1350,41.60800171,41.60800171,0,41.60800171,0,249.6480103 +7167,MN,718,7502,104,89,4001,2,3,10011,E003,10,15,5600,1,4, ,180 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,RC,5,0, , ,25259,140360,90302,0,0,0,0,0,0,90302,2,1,8,0,3,184,231.54,0,0, ,0,Y,0,5,1813500,20899941,1160640,12329241,1931,0,0,Chelsea Historic District, ,5.56,3,0,3,1,1007187502,2348,89,982845,211044,8b, ,13 0420,10302, ,1007180030,9/27/2012,1,1,1,17V1.1,7,896.2901096,26003.02825,19086400,7,1,7167,7167,116,26100,9.137777328,16.36777687,7.229999542,9.702806588,0.991484043,1125.525564 +7168,MN,197,25,101,31,1002,2,1,10013,L001,5,15,7700,1,1, ,242 CANAL STREET,M1-5, , , , , , , , , ,N,K1,5,0, ,WON & HAR REALTY CORP,1170,2500,2500,0,0,1250,0,1250,0,0,2,1,1,0,1,23,57.33,23,57,E,3,Y,5,2,123300,462150,0,0,1978,0,0, , ,2.14,0,5,6.5,1,1001970025,0,31,984161,200856,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,166.044974,1444.265414,338850,14,0,7168,7168,7,1575,13.86800003,13.86800003,0,13.86800003,0,97.07600021 +7169,MN,621,49,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,72 PERRY STREET,R6, , , , , , , , , ,N,C6,2,0, ,MEAD HOUSE TENANTS,1902,4875,0,4875,0,0,0,0,0,0,2,1,4,10,10,20,95.08,20,60,E,3,N,5,1,122667,367432,9440,9440,1910,1986,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006210049,0,73,983129,207143,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,230.9349336,1850.95349,244765,8,0,7169,7169,7,1575,24.81222343,25.49888992,0.686666489,25.00254086,0.301118796,175.017786 +7170,MN,374,41,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,41 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,355 EAST 4 ST ASSOCCO,3294,17192,2500,14692,0,2500,0,0,0,0,2,1,6,20,22,41.17,80,41.17,75, ,0,N,3,5,180000,2286000,0,0,1900,0,0, , ,5.22,6,0,6,1,1003740041,0,2601,990362,202138,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,253.7848403,3663.804406,2106000,1,1,7170,7170,17,3825,11.67399979,12.3868885,0.712888718,11.75328086,0.188707772,199.8057747 +7171,MN,552,26,102,65,1001,2,1,10011,L009,6,15,5700,1,2,2A,37 WASHINGTON SQUARE W,R7-2, , , , , , , , , ,N,H8,8,0, ,NEW YORK UNIVERSITY,8250,110447,4260,0,4260,0,0,0,0,0,2,1,16,63,67,82.5,116,82.5,92, ,2,Y,3,2,819000,3693600,622440,2773612,1929,0,0,Greenwich Village Historic District, ,13.39,3.44,0,6.5,1,1005520026,0,65,984339,205715,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,388.0353159,7731.61233,2874600,9,0,7171,7171,34,7650,17.50333405,18.40222359,0.898889542,17.54806608,0.182051512,596.6342468 +7172,MN,665,10,104,99,1000,2,3,10018,E034,10,15,5500,1,4,2B, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,4,M,NYC DSBS,588000,393040,393040,0,0,0,214320,0,0,178720,2,1,1,0,1,738.08,734,637,615, ,1,Y,9,0,7110000,25684650,7110000,25684650,1900,0,0, , ,0.67,0,2,0,1,1006650010,0,99,982741,215715,8b,Y,105S066,10301, ,0, ,1,1,1,17V1.1,0,4197.38225,341380.5065,18574700,6,1,7172,7172,82,18450,5.095555782,8.729999542,3.63444376,7.06315714,0.632865414,579.1788855 +7173,MN,585,22,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,16 GROVE STREET,R6, , , , , , , , , ,N,C0,2,0, ,KEHOE BERNICE,1369,2688,0,2688,0,0,0,0,0,0,2,1,3,3,3,20.25,67.58,20.25,44, ,2,N,5,2,38810,150492,1200,2350,1901,0,0,Greenwich Village Historic District, ,1.96,2.43,0,4.8,1,1005850022,0,73,982712,206057,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,184.4625194,1509.589817,111682,9,0,7173,7173,6,1350,18.5988884,20.84222221,2.243333817,19.15122191,0.851316739,114.9073315 +7174,MN,900,57,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,239 3 AVENUE,C1-9A, , , , , , , , , ,N,S9,4,0,P,GRAMERCY CLUB CG LLC,2730,8663,2320,6343,0,2320,0,0,0,0,2,2,4,6,8,39,70,36,43,E,0,N,5,5,227770,820229,0,0,1910,2012,0, , ,3.17,10,2,10,1,1009000057,0,64,988582,207671,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,221.2105465,2790.311351,592459,5,0,7174,7174,11,2475,23.24022102,25.99444389,2.75422287,23.49060492,0.791783405,258.3966541 +7175,MN,298,18,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,56 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,A WONG REALTY CORP,5326,16887,3700,13187,0,3700,0,0,0,0,2,2,6,15,20,43.42,79,43,78,E,3,N,3,2,114750,779400,0,0,1930,0,0, , ,3.17,6.02,6,6.5,1,1002980018,0,16,986804,200017,12c,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,257.0552444,3831.779115,664650,13,0,7175,7175,17,3825,36.57977676,37.64699936,1.067222595,37.5239471,0.337071518,637.9071007 +7176,MN,862,7502,105,74,1003,2,4,10016,L024,14,15,5200,1,5, ,14 EAST 33 STREET,C5-2, , , , , , , , , ,N,RM,4,0, ,14E 33RD STREET CONDO,4938,46931,14846,32085,8888,5958,0,0,0,0,2,1,12,18,23,50,98.75,0,0, ,0,N,5,5,1141200,5723541,4720,4720,1920,0,0, , ,9.5,10,10,10,1,1008627502,930,74,988595,211510,8d, ,100 000,10306, ,1008620064,9/11/1996,1, , ,17V1.1,7,306.1810614,5154.527242,4582340,10,0,7176,7176,24,5400,46.60555649,47.5644455,0.958889008,46.68092505,0.21275584,1120.342201 +7177,MN,822,9,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,37 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,37 WEST 20 COMPANY,9821,105942,105942,0,96942,9000,0,0,0,0,2,1,12,0,51,106.75,92,107,92,E,3,N,5,2,2209950,15494850,0,0,1909,0,0,Ladies' Mile Historic District, ,10.79,10,10,10,1,1008220009,0,54,986162,209176,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,408.8321685,10423.44886,13284900,7,0,7177,7177,47,10575,34.23199844,34.23199844,0,34.23199844,0,1608.903927 +7178,MN,921,27,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,239 1 AVENUE,C1-7A, , , , , , , , , ,N,K4,4,0, ,EAST 14TH STREET REAL,3417,8868,8868,0,0,1837,0,0,0,5451,2,2,1,3,8,43.25,79,23.25,79, ,0,N,3,2,508500,2146950,0,0,1950,0,0, , ,2.6,6.02,2,6.5,1,1009210027,0,48,989035,205831,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,253.2696635,3743.443205,1638450,12,0,7178,7178,17,3825,22.90500069,22.90500069,0,22.90500069,0,389.3850117 +7179,MN,764,61,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,240 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,STRAWLIGHT SOUTH CORP,5059,23112,2058,21054,0,2058,0,0,0,0,2,1,6,35,36,49,103.25,49,84, ,2,N,5,2,477000,3010050,0,0,1928,1987,0, , ,4.57,4,0,4,1,1007640061,0,81,983946,208804,8b,Y,103 032,10304, ,0, ,1, , ,17V1.1,0,306.4248618,4991.842034,2533050,7,0,7179,7179,21,4725,22.05333328,22.05333328,0,22.05333328,0,463.1199989 +7180,MN,499,39,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,113 SPRING STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,PPF RTL 113 SPRING ST,3750,16298,16298,0,13039,3259,0,0,0,0,2,1,5,0,6,37.5,100,38,98, ,3,N,5,2,900000,4682700,0,0,1920,1986,0,SoHo-Cast Iron Historic District, ,4.35,0,5,6.5,1,1004990039,0,49,984298,202963,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,288.1726013,4119.428419,3782700,0,0,7180,7180,20,4500,22.35555458,22.35555458,0,22.35555458,0,447.1110916 +7181,MN,238,13,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,207 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,MY CHAO RLTY CORP,1840,6570,1314,5256,0,1314,0,0,0,0,2,1,5,8,9,23.08,80,23,54, ,3,N,5,2,40172,271329,0,0,1900,0,0, , ,3.57,6.02,6,6.5,1,1002380013,0,41,985257,201153,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,220.8867644,2133.530216,231157,0,0,7181,7181,9,2025,30.03444481,31.90200043,1.867555618,31.69449425,0.586916108,285.2504482 +7182,MN,885,63,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,157 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,D5,3,0, ,TSOUMPAS 157 GROUP,1957,10300,1050,9250,0,1050,0,0,0,0,2,1,7,12,13,38.75,63.92,38,48, ,2,Y,3,2,225000,1639350,0,0,1920,2000,0, , ,5.26,6.02,6,6.5,1,1008850063,0,72,989389,210218,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,218.3371005,2185.860571,1414350,10,0,7182,7182,9,2025,30.56200027,30.63311195,0.071111679,30.56990157,0.022348245,275.1291142 +7183,MN,825,60,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1B,22 WEST 24 STREET,M1-6, , , , , , , , , ,N,S4,4,0, ,"39 WEST 23RD STREET,",1520,8015,2940,5075,0,0,0,1470,0,1470,2,1,4.5,4,5,19,80,19,80,E,2,N,5,5,132117,267688,0,0,1900,0,0,Ladies' Mile Historic District, ,5.27,0,10,10,1,1008250060,0,58,986784,209877,8d, ,104 001,10306,E-356,0, ,1, , ,17V1.1,0,210.8638144,1763.621649,135571,2,0,7183,7183,8,1800,35.97100067,36.41555405,0.444553375,36.09441662,0.16871486,288.7553329 +7184,MN,746,18,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,333 WEST 22 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,333 W 22ND ST OWNERS,3703,11165,0,11165,0,0,0,0,0,0,2,1,4,16,16,37.5,98.75,38,56, ,3,N,5,1,103050,1121400,14160,14160,1910,1988,0,Chelsea Historic District Extension, ,3.02,3,0,3,1,1007460018,0,93,984153,210866,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,272.164345,3567.946595,1018350,2,0,7184,7184,16,3600,15.97222233,19.81777763,3.845555305,16.90916681,1.36623814,270.546669 +7185,MN,884,36,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,157 EAST 28 STREET,R8B,C2-8, , , , , , , , ,Y,K4,4,0, ,3 & 28 REALTY CORP,1098,2127,1459,668,0,1459,0,0,0,0,2,1,3,2,3,22.25,49.33,22.25,30, ,3,N,5,1,103500,379800,0,0,1910,0,0, , ,1.94,4,0,4,1,1008840036,0,72,989440,209720,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,146.3167261,1134.149547,276300,11,0,7185,7185,5,1125,37.06100082,39.41999817,2.358997345,38.08173294,0.940320103,190.4086647 +7186,MN,526,33,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,71 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,MOSCONI RLTY NO 2,2000,3377,675,2702,0,675,0,0,0,0,2,1,3,5,6,20,100,20,88, ,3,N,5,5,74047,433397,0,0,1960,1987,0,South Village Historic District, ,1.69,3.44,0,6.5,1,1005260033,0,65,983705,204740,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,240.6238514,2007.189767,359350,9,0,7186,7186,8,1800,20.00333405,20.00333405,0,20.00333405,0,160.0266724 +7187,MN,292,21,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,21 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,21 ELDRIDGE REALTY LL,2500,9475,1895,7580,0,1895,0,0,0,0,2,1,5,18,22,25,100,25,88, ,2,N,5,1,168750,583200,0,0,1900,0,0, , ,3.79,3.44,6,6.5,1,1002920021,0,16,985967,199810,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,263.7063365,2671.812757,414450,16,0,7187,7187,11,2475,39.91899872,39.91899872,0,39.91899872,0,439.1089859 +7188,MN,911,34,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,553 2 AVENUE,C1-8A, , , , , , , , , ,N,S5,4,0,P,"BARSOTTI, MARK",1516,5217,1304,3913,0,1304,0,0,0,0,2,1,4,6,7,19.67,77,20,70,E,3,N,5,2,197965,598923,0,0,1910,1989,0, , ,3.44,7.52,2,7.5,1,1009110034,0,70,990414,209867,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,201.5677938,1689.339332,400958,10,0,7188,7188,7,1575,29.22888947,29.22888947,0,29.22888947,0,204.6022263 +7189,MN,690,54,104,99,1022,2,3,10011,E003,10,15,5500,1,4,1B,96 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,O3,5,0,P,RESPONSIVE REALTY LLC,530,1500,1500,0,1500,0,0,0,0,0,2,1,10,0,1,56.17,20.24,0,0, ,0,Y,3,5,71550,242550,0,0,2004,0,0, , ,2.83,7.52,6,10,1,1006900054,0,99,982061,211028,8b, ,103 043,10301,E-142,0, ,1,1,1,17V1.1,0,130.4138532,531.4654179,171000,7,1,7189,7189,2,450,6.974444389,6.974444389,0,6.974444389,0,13.94888878 +7190,MN,724,10,104,97,2002,2,3,10001,E003,10,15,5500,1,4,2B,441 WEST 26 STREET,R8, , , , , , , , , ,N,D6,4,0,O,NYC HOUSING AUTHORITY,44295,108426,7815,100611,0,0,0,6000,0,1815,2,1,14,94,97,78.75,257.42,79,120, ,1,Y,4,2,1350000,11821050,1350000,11821050,1968,2004,0, , ,2.45,6.02,0,6.5,1,1007240010,0,97,983862,212393,8b,Y,105S006,10302, ,0, ,1, , ,17V1.1,0,1019.376565,45678.05626,10471100,2,0,7190,7190,201,45225,13.90444469,18.48888969,4.584445,16.31919001,0.848842049,3280.157191 +7191,MN,481,19,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,54 SPRING STREET,C6-2, , , , , ,LI, , , ,N,D7,4,0,P,250 WEST 41ST STREET,2755,13973,2750,11223,0,2750,0,0,0,0,2,1,6.5,10,11,25.25,116,25,110, ,0,Y,5,5,146250,2612250,0,0,1998,2003,0, , ,5.07,6.02,6,6.5,1,1004810019,0,41,985160,202280,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,285.7054479,2823.790443,2466000,0,0,7191,7191,13,2925,35.01599884,38.74888992,3.732891083,35.30314431,0.994701079,458.940876 +7192,MN,93,34,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,57 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,D9,3,0,P,BEEKMAN STAFF RESIDEN,7547,79079,0,79079,0,0,0,0,0,0,2,1,17,90,92,71.08,95.92,69,86, ,2,Y,3,2,1323000,7603200,1323000,7603200,1973,0,0, , ,10.48,10,10,10,1,1000930034,0,1501,982813,197825,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,368.4142967,8072.487381,6280200,4,0,7192,7192,37,8325,19.37555504,25.50699997,6.131444931,24.01583785,2.188985391,888.5860004 +7193,MN,280,39,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,43 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,"SUN DAT HOLDINGS,",1875,7100,7100,0,0,3550,0,3550,0,0,2,1,5,0,2,25,75,25,70, ,3,N,5,1,186300,1311300,0,0,1910,1983,0, , ,3.79,3.44,6,6.5,1,1002800039,0,8,985360,199174,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,207.4212192,1985.36515,1125000,16,0,7193,7193,10,2250,29.04899979,29.04899979,0,29.04899979,0,290.4899979 +7194,MN,304,25,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,95 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,CHRYSTIE 95 INC,2492,7570,1514,6056,0,1514,0,0,0,0,2,1,5,8,10,24,101,25,68, ,2,N,5,1,81035,322882,0,0,1910,1988,0, , ,3.04,3.44,6,6.5,1,1003040025,0,16,985810,200791,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,258.579689,2585.448803,241847,0,0,7194,7194,12,2700,34.17111206,35.98555374,1.814441681,34.53379663,0.555560494,414.4055595 +7195,MN,438,51,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,253 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,253 EAST 10TH STREET,2369,9445,0,9445,0,0,0,0,0,0,2,1,5,20,20,25,94.67,25,82, ,3,N,5,2,180450,657000,0,0,1900,0,0, , ,3.99,4,0,4,1,1004380051,0,34,988778,204758,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.4735544,2494.866233,476550,12,0,7195,7195,11,2475,17.98900032,20.18333435,2.19433403,18.30403068,0.696671124,201.3443375 +7196,MN,447,44,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,329 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,329 EAST 5TH STREET L,2425,7000,0,7000,0,0,0,0,0,0,2,1,5,12,12,25,97,25,56, ,3,N,5,1,186750,626400,0,0,1900,1988,0, , ,2.89,4,0,4,1,1004470044,0,38,987700,203934,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.7895767,2490.166486,439650,1,0,7196,7196,10,2250,27.01499939,30.63666725,3.621667862,28.29811096,1.584673399,282.9811096 +7197,MN,96,1,101,15.01,3008,2,1,10038,E006,1,15,7700,1,1,1B,94 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,K6,5,0,C,NYC HPD,33348,128123,128123,0,0,128123,0,0,0,0,2,1,3,0,37,203.33,170,203,145, ,1,Y,1,0,5400000,19252991,5400000,19252991,1983,2015,0,South Street Seaport Historic District, ,3.84,6.02,6,6.5,1,1000960001,0,1501,983436,196764,12b, ,101S008,10103, ,0, ,1,1,1,17V1.1,0,763.5323714,35911.82705,13853000,4,1,7197,7197,160,36000,5.993332863,5.993332863,0,5.993332863,0,958.9332581 +7198,MN,526,45,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,76 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,PHILIP DOUGLAS,2010,3360,0,3360,0,0,0,0,0,0,2,1,4,3,3,20.08,100.08,20.08,42, ,3,N,5,0,69781,193696,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.67,3.44,0,6.5,1,1005260045,0,65,983809,204625,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,241.9993365,1979.229415,123915,9,0,7198,7198,8,1800,23.11777878,24.5233326,1.405553818,23.5286386,0.547929148,188.2291088 +7199,MN,791,50,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,114 WEST 16 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,114 ASSOCIATES,7744,32736,0,32736,0,0,0,0,0,0,2,1,6,41,41,75,103.25,75,90, ,3,N,5,2,454500,2507850,0,0,1939,0,0, , ,4.23,6,0,6,1,1007910050,0,81,985147,208446,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,362.6401244,7972.77966,2053350,7,0,7199,7199,35,7875,27.87888908,31.50666618,3.6277771,28.08739695,0.792889608,983.0588932 +7200,MN,280,4,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,29 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C7,4,0, ,SHENG GARDEN CORP,2500,7750,1550,6200,0,1550,0,0,0,0,2,1,5,8,10,25,100,25,62, ,3,N,5,2,94095,490370,0,0,1910,0,0, , ,3.1,3.44,0,6.5,1,1002800004,0,8,985244,199070,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,252.4627052,2446.664645,396275,16,0,7200,7200,11,2475,27.8318882,30.5,2.668111801,28.7511914,1.217146148,316.2631054 +7201,MN,348,3,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,100 SUFFOLK STREET,R7A, , , , , , , , , ,N,C6,2,0, ,98-100 SUFFOLK REALTY,2530,9858,0,9858,0,0,0,0,0,0,2,1,5,20,20,25.25,100,25,88, ,3,N,5,2,225000,670950,0,0,1920,0,0, , ,3.9,4,0,4,1,1003480003,0,1402,988107,201031,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,250.4455915,2452.600154,445950,13,0,7201,7201,11,2475,24.76333427,24.76333427,0,24.76333427,0,272.396677 +7202,MN,464,51,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,17 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"GIOIA PROPERTIES, IN",2934,12861,2144,10717,0,2144,0,0,0,0,2,1,6,22,24,26,112.83,26,92, ,3,N,5,2,661500,1795500,0,0,1900,1983,0, , ,4.38,4,0,4,1,1004640051,0,38,987365,204988,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,284.5236495,3018.949668,1134000,12,0,7202,7202,14,3150,34.9980011,36.91500092,1.916999817,35.92614392,0.444742245,502.9660149 +7203,MN,450,6,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,140 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,O5,5,0, ,UKRANIAN NATIONAL HOM,6709,22274,22274,0,10054,6470,0,0,0,5750,2,1,5,0,16,53.67,125,53,125,E,3,N,5,2,603000,1566000,0,0,1920,1985,0, , ,3.32,4,0,4,1,1004500006,0,38,987841,204815,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,369.3953293,7186.068917,963000,12,0,7203,7203,32,7200,25.4810009,33.22333527,7.742334366,26.73264313,2.712010993,855.4445801 +7204,MN,174,25,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,79 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,"KOFUKU-NO-KAGAKU USA,",1520,3231,1077,2154,0,0,0,1077,0,0,2,1,3,2,4,18.75,76.25,19,71, ,3,Y,5,5,39013,245937,39013,245937,1915,2008,2008,Tribeca East Historic District, ,2.13,6.02,6,6.5,1,1001740025,0,33,982977,200768,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,201.3663251,1648.286124,206924,14,0,7204,7204,7,1575,21.5755558,25.39777756,3.822221756,22.12158748,1.337498998,154.8511124 +7205,MN,175,33,101,33,1004,2,1,10013,L001,1,15,7700,1,1,3A,365 BROADWAY,C6-4A, , , , , , , , , ,N,D7,4,0,P,"EMFT, LLC",7532,63600,7000,56600,0,7000,0,0,0,0,2,1,8,28,30,50.17,150.42,50,150, ,2,Y,3,2,1111500,8859150,0,0,1920,0,0, , ,8.44,10,10,10,1,1001750033,0,33,983199,200761,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,431.9300791,8849.823546,7747650,14,0,7205,7205,39,8775,27.60300064,27.60300064,0,27.60300064,0,1076.517025 +7206,MN,514,1,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,134 WOOSTER STREET,M1-5A, , , , , , , , , ,N,K1,5,0,P,134-136 WOOSTER REALT,3750,6037,6037,0,0,6037,0,0,0,0,2,1,1,0,1,37.5,100,38,98, ,3,N,5,0,846000,3333600,0,0,1920,1987,0,SoHo-Cast Iron Historic District, ,1.61,0,5,6.5,1,1005140001,0,49,984358,203629,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,278.7490856,3781.069191,2487600,9,0,7206,7206,16,3600,22.59666634,22.59666634,0,22.59666634,0,361.5466614 +7207,MN,385,14,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,222 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,"222 E. 3RD STREET,",10490,49923,0,49923,0,0,0,0,0,0,2,1,8,61,61,99,105.92,100,57,E,3,Y,5,2,1161000,8134650,0,0,2002,2010,0, , ,4.76,4,0,4,1,1003850014,0,2202,989125,202387,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,412.9755326,10632.86098,6973650,1,0,7207,7207,48,10800,16.86222267,19.15888786,2.296665192,17.071968,0.602502305,819.454464 +7208,MN,738,54,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,324 WEST 15 STREET,R8B, , , , , , , , , ,N,W8,8,0,X,CORLEARS COMMUNITY ET,5163,13611,13611,0,0,0,0,0,0,13611,2,2,4,0,1,50,103.25,50,64, ,3,N,5,2,531000,1105200,531000,1105200,1960,2011,0, , ,2.64,4,0,4,1,1007380054,0,83,983345,209139,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,313.4319102,5297.524814,574200,7,0,7208,7208,24,5400,16.15333366,18.80222321,2.648889542,16.63504656,0.94274264,399.2411175 +7209,MN,275,26,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,38 MARKET STREET,R7-2, , , , , , , , , ,N,C2,2,0, ,38 MARKET LLC.,1914,5381,0,5381,0,0,0,0,0,0,2,1,4,5,5,22.25,86.83,22,64,E,3,Y,5,5,24154,112073,0,0,1900,1985,0, , ,2.81,3.44,0,6.5,1,1002750026,0,8,985879,198861,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,224.4136067,2018.662355,87919,16,0,7209,7209,11,2475,30.54333305,30.54333305,0,30.54333305,0,335.9766636 +7210,MN,603,72,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,447 HUDSON STREET,C1-6, , , , , , , , , ,N,S9,4,0,P,"71 MORTON STREET, LLC",1654,4460,1100,3360,0,1100,0,0,0,0,2,1,3,4,6,25,100,25,44, ,0,Y,3,5,101345,262272,0,0,1900,1984,0,Greenwich Village Historic District, ,2.7,3.44,2,6.5,1,1006030072,0,69,982312,205633,12a, ,103 002,10208, ,1006030072,3/7/2008,1, , ,17V1.1,0,193.2413285,1621.323048,160927,9,0,7210,7210,5,1125,15.32666683,15.88111115,0.554444313,15.43755569,0.221777725,77.18777847 +7211,MN,608,7505,102,71,2000,2,3,10011,Q018,6,15,6100,3,2, ,161 WEST 12 STREET,R6, , , , , , , , , ,N,RA,8,0,X, ,6474,11780,11780,0,0,0,0,0,0,11780,2,1,5,0,2,62.71,103.25,62.67,40, ,0,N,0,5,630000,1550974,630000,1550974,1930,0,0,Greenwich Village Historic District, ,1.82,2.43,0,4.8,1,1006087505,1275,71,984336,207812,12c, ,103 027,10209, ,1006080070,4/1/2003,1, , ,17V1.1,7,340.3026066,6744.578398,920974,8,0,7211,7211,30,6750,24.04400063,28.43666649,4.392665863,25.86228161,1.694897509,775.8684483 +7212,MN,622,22,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,388 BLEECKER STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,388 BLEECKER LLC,950,3050,500,2550,0,500,0,0,0,0,2,1,4,3,4,19,50,19,39, ,3,N,5,5,181082,413848,0,0,1905,0,0,Greenwich Village Historic District, ,3.21,3.44,2,6.5,1,1006220022,0,73,982823,207212,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,143.5232069,1033.128681,232766,8,0,7212,7212,5,1125,22.42000008,25.20111084,2.781110764,22.97622223,1.112444305,114.8811111 +7213,MN,422,48,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,137 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,JACKSON JEANNE,1628,5720,1650,4070,0,1650,0,0,0,0,2,1,5,8,9,22,74,22,51, ,1,N,5,2,41574,114683,0,0,1900,0,0, , ,3.51,6.02,6,6.5,1,1004220048,0,3601,986980,202721,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,205.2245497,1886.433585,73109,1,0,7213,7213,9,2025,38.41600037,39.99888992,1.582889557,38.9519755,0.671572044,350.5677795 +7214,MN,622,69,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,85 PERRY STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,DVULT LLC,1008,2520,0,2520,0,0,0,0,0,0,2,1,3,2,2,21.33,58,21.33,40, ,3,Y,5,2,120963,151099,0,0,1899,2013,0,Greenwich Village Historic District, ,2.5,3.44,2,6.5,1,1006220069,0,73,982940,207229,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,152.5488813,1131.992852,30136,8,0,7214,7214,5,1125,24.5988884,26.81333351,2.214445114,25.04177742,0.885778046,125.2088871 +7215,MN,162,25,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,19 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,EAST SOHO CORP.,1176,5860,1000,4860,0,0,0,0,0,1000,2,2,5,8,10,21,55,21,55, ,0,Y,3,5,130800,396181,0,0,1900,1961,0, , ,4.98,3.44,6,6.5,1,1001620025,0,29,984762,199669,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,162.7789669,1342.77002,265381,14,0,7215,7215,6,1350,30.90500069,34.10666656,3.201665878,31.88907496,1.399122928,191.3344498 +7216,MN,922,27,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,279 1 AVENUE,C1-6A, , , , , , , , , ,N,S9,4,0,P,"279 FIRST AVENUE,",1860,5115,1860,3255,0,1860,0,0,0,0,2,2,1,4,9,23.25,80,23.25,45, ,0,N,3,5,404234,1007500,0,0,1950,0,0, , ,2.75,4,2,4,1,1009220027,0,48,989251,206217,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,221.8896066,2038.534627,603266,5,0,7216,7216,9,2025,19.22222137,19.7266674,0.50444603,19.53266695,0.138641727,175.7940025 +7217,MN,389,20,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,204 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,TOMFOL OWNERS CORP.,2271,10800,0,10800,0,0,0,0,0,0,2,1,6,24,24,25,90.83,25,78, ,3,N,5,1,132750,791550,20822,20822,1900,0,0, , ,4.76,4,0,4,1,1003890020,0,2602,989736,203201,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,233.0855801,2323.431254,658800,12,1,7217,7217,10,2250,7.700000286,9.633333206,1.93333292,7.893333578,0.579999876,78.93333578 +7218,MN,640,40,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,767 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,S1,4,0,P,WILLIAM GOTTLIEB,715,3714,1400,2314,0,1400,0,0,0,0,2,1,3,1,2,20.08,70.17,20.08,45,E,3,Y,3,5,47346,118162,0,0,1905,0,0,Greenwich Village Historic District, ,5.19,4,2,4,1,1006400040,0,79,982042,207949,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,188.5633177,1569.506118,70816,8,1,7218,7218,10,2250,11.60333347,11.96800041,0.364666939,11.8846447,0.125154091,118.846447 +7219,MN,199,2,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,81 BAXTER STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,CHINATOWN PRESERVATIO,2500,10300,2060,8240,0,2060,0,0,0,0,2,1,5,18,21,25.5,100,26,88, ,3,N,5,2,112500,809550,0,0,1910,1989,0, , ,4.12,3.44,6,6.5,1,1001990002,0,29,984346,200326,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,260.8651611,2698.002287,697050,14,0,7219,7219,12,2700,22.37599945,22.37599945,0,22.37599945,0,268.5119934 +7220,MN,97,17,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,211 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,S1,4,0, ,"SPAEDA, DORATHEA S.",992,4960,992,3968,0,992,0,0,0,0,2,1,5,1,2,25,39.83,25,40, ,0,Y,3,2,120726,246540,0,0,1900,1981,2005,South Street Seaport Historic District, ,5,6.02,6,6.5,1,1000970017,0,1501,983545,196917,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,135.8115229,1102.273255,125814,4,1,7220,7220,5,1125,5.993332863,5.993332863,0,5.993332863,0,29.96666431 +7221,MN,717,72,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,456 WEST 20 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"DE ROUSSY DE SALES, E",1533,3392,0,3392,0,0,0,0,0,0,2,1,4,3,3,16.67,92,16.67,53, ,2,N,5,2,61384,141654,1550,1550,1901,0,0,Chelsea Historic District, ,2.21,3,0,3,1,1007170072,0,89,982841,210843,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,223.5089583,1623.315624,80270,7,1,7221,7221,7,1575,9.621110916,10.42777729,0.806666374,9.73634897,0.28227443,68.15444279 +7222,MN,477,35,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,94 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0, ,BROOME PROPERTY OWNER,4557,74095,6668,67427,0,6668,0,0,0,0,2,1,25,22,23,108.17,56,0,0, ,0,Y,3,5,583650,1917450,0,0,0,0,0, , ,16.26,0,10,10,1,1004770035,0,37,982638,203045,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,320.7150116,4464.44298,1333800,0,1,7222,7222,20,4500,11.72000027,14.82111073,3.101110458,13.16077766,0.868047105,263.2155533 +7223,MN,620,71,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2K,234 WEST 4 STREET,R6, , , , , , , , , ,N,C4,2,0, ,PENTA TWO REALTY,2603,11877,2375,9502,0,2375,0,0,0,0,2,1,5,20,24,29.58,88,30,88,E,3,N,3,2,558000,3105450,0,0,1920,1988,0,Greenwich Village Historic District, ,4.56,2.43,0,4.8,1,1006200071,0,73,983356,206811,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,239.424573,2781.358142,2547450,8,0,7223,7223,13,2925,24.70777702,24.70777702,0,24.70777702,0,321.2011013 +7224,MN,575,44,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,16 WEST 12 STREET,R6, , , , , , , , , ,N,A5,1,0, ,"16 WEST 12 HOLDINGS,",2581,6180,0,6180,0,0,0,0,0,0,2,1,5,1,1,25,103.25,25,49,E,3,N,5,2,250856,388578,0,0,1920,2004,0,Greenwich Village Historic District, ,2.39,2.43,0,4.8,1,1005750044,0,63,985502,206983,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,262.9742671,2662.134323,137722,8,0,7224,7224,13,2925,24.42399979,30.75666618,6.332666397,24.91112797,1.68746153,323.8446636 +7225,MN,479,5,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,192 MOTT STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,TAI HOP LEE REALTY CR,3685,18064,3666,14398,0,3666,0,0,0,0,2,1,6,30,33,31.92,94.08,32,92, ,2,Y,3,2,98100,1170000,0,0,1900,1987,0, , ,4.9,3.44,6,6.5,1,1004790005,0,41,985511,201944,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,277.534291,3995.426127,1071900,0,0,7225,7225,17,3825,38.05444717,38.05444717,0,38.05444717,0,646.925602 +7226,MN,715,5,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1A,453 WEST 17 STREET,C6-3, , , , , ,WCH, , , ,N,O5,5,0,P,N.E.W. CORP.,4600,17720,17720,0,13720,4000,0,0,0,0,2,1,4,0,13,50,92,50,90, ,3,N,5,2,311400,2271600,0,0,1950,2004,0, , ,3.85,7.52,6,10,1,1007150005,0,83,982551,210338,8b, ,103 041,10302,E-142,0, ,1, , ,17V1.1,0,287.5387265,4694.705894,1960200,7,1,7226,7226,22,4950,9.883333206,11.21000004,1.326666832,11.149697,0.276343235,245.293334 +7227,MN,440,12,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,408 EAST 13 STREET,R8B, , , , , , , , , ,N,S2,4,0,P,LAKOFSKI RUTH,1448,3778,603,3175,0,0,0,0,0,603,2,1,2.5,2,3,34.17,53.58,34.17,53.58, ,3,Y,5,5,44042,77817,0,0,1899,0,0, , ,2.61,4,0,4,1,1004400012,0,34,989061,205353,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,161.3223086,1476.273291,33775,12,0,7227,7227,6,1350,16.59444427,21.3777771,4.783332825,17.99825923,2.012563404,107.9895554 +7228,MN,804,7502,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,111 WEST 28 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,4229,20422,7556,11502,0,4834,0,871,0,1851,2,2,7,10,14,42.83,98.75,43,96, ,0,N,5,5,327598,2668500,2360,2360,1920,2005,2005, , ,4.83,0,10,10,1,1008047502,1198,95,986709,211262,8d, ,100 000,10305, ,1008040029,11/27/2001,1, , ,17V1.1,7,285.1399889,4192.598355,2340900,2,0,7228,7228,19,4275,40.67900085,40.67900085,0,40.67900085,0,772.9010162 +7229,MN,746,62,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,336 WEST 23 STREET,C1-6A, , , , , , , , , ,N,K4,4,0, ,"SOUTHWEST PROPERTIES,",2469,12049,6733,5316,0,6733,0,0,0,0,2,1,5,2,3,25,98.75,25,56, ,3,N,5,2,143100,1471950,0,0,1910,2006,2006, , ,4.88,4,2,4,1,1007460062,0,93,984241,210936,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,267.0385947,2913.025737,1328850,2,0,7229,7229,13,2925,15.97222233,18.57444382,2.602221489,16.23760686,0.711158688,211.0888891 +7230,MN,821,10,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,55 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O5,5,0,P,55 W 19 LLC,2326,9508,7942,1566,5714,2228,0,0,0,0,2,1,5,1,5,28,92,28,89,E,3,Y,5,2,247500,1180350,0,0,1925,0,0,Ladies' Mile Historic District, ,4.09,10,10,10,1,1008210010,0,54,985971,208996,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,248.8441255,2497.995905,932850,7,0,7230,7230,12,2700,32.91555405,32.91555405,0,32.91555405,0,394.9866486 +7231,MN,387,131,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,644 EAST 6 STREET,R8B, , , , , , , , , ,N,G7,10,0,O,NEW YORK CITY HSG AUT,6211,0,0,0,0,0,0,0,0,0,7,1,0,0,0,64,97,0,0, ,0,N,5,5,477450,477450,477450,477450,0,0,0, , ,0,4,0,4,1,1003870131,0,2601,989796,202887,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,329.1716783,6437.469458,0,1,1,7231,7231,28,6300,9.311110497,11.60999966,2.29888916,10.10845235,0.599316098,283.0366659 +7232,MN,231,2,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,303 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0,P,JAVIN CANAL RLTY INC,906,2718,2718,0,1812,906,0,0,0,0,2,1,3,0,2,24.42,35.5,24,36, ,3,Y,5,2,158850,418050,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,3,0,5,6.5,1,1002310002,0,47,983669,201517,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,132.6760214,1027.026795,259200,0,0,7232,7232,5,1125,12.89000034,12.89000034,0,12.89000034,0,64.45000172 +7233,MN,908,15,106,66,2001,2,2,10016,E016,13,14,5800,1,6,1B,221 EAST 27 STREET,R8B, , , , , , , , , ,N,M1,8,0, ,ST ILLUMINATORS ARMEN,5135,3917,3917,0,0,0,0,0,0,3917,2,1,1,0,1,52,98.75,52,98, ,2,Y,5,2,422550,625050,422550,594000,1920,0,0, , ,0.76,4,0,4,1,1009080015,0,66,989758,209278,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,306.041725,5286.956883,202500,11,0,7233,7233,23,5175,39.05888748,42.44666672,3.387779236,39.24362183,0.705063792,902.603302 +7234,MN,625,11,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,617 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,GP LEE LLC,993,2840,400,2440,0,400,0,0,0,0,2,1,4,3,4,18.67,53.17,19,36, ,3,N,5,5,80515,204339,0,0,1928,1975,0,Greenwich Village Historic District, ,2.86,3.44,2,6.5,1,1006250011,0,79,982620,208132,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,148.7714818,1078.893166,123824,8,0,7234,7234,6,1350,15.4800005,15.4800005,0,15.4800005,0,92.88000298 +7235,MN,286,13,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,233 HENRY STREET,R7-2, , , , , , , , , ,N,C1,2,0,P,233-35 HENRY ST RLTYC,4040,20513,0,20513,0,0,0,0,0,0,2,1,6,24,24,46.17,87.5,46,73, ,3,N,5,1,171000,628650,0,0,1921,0,0, , ,5.08,3.44,0,6.5,1,1002860013,0,201,988150,199381,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,275.5920087,4220.766762,457650,13,0,7235,7235,18,4050,29.71888924,32.59111404,2.872224808,30.43327194,1.155220336,547.7988949 +7236,MN,525,40,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,180 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,180 THOMPSON OWNERS C,5000,27000,0,27000,0,0,0,0,0,0,2,1,7,64,64,50,100,50,80, ,3,N,5,2,481500,2772000,43300,43300,1920,1978,0,South Village Historic District, ,5.4,3.44,0,6.5,1,1005250040,0,65,984304,204469,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,304.0037066,5097.092494,2290500,9,0,7236,7236,23,5175,23.62666702,26.58777809,2.961111069,23.91565248,0.782877988,550.0600071 +7237,MN,416,1,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,196 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C1,2,0,O,NYC HOUSING AUTHORITY,44484,60640,0,60640,0,0,0,0,0,0,2,3,4,54,54,320,177,150,50, ,1,Y,3,2,1215000,4450950,1215000,4450950,1986,0,0, , ,1.36,4,4,4,1,1004160001,0,3601,987033,202109,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,1008.97508,36167.4258,3235950,13,0,7237,7237,161,36225,35.68000031,40.65933228,4.97933197,38.29450167,1.539500027,6165.414768 +7238,MN,445,2,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,56 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,M2,8,0,X,EASTSIDE CHURCH OF CH,1440,3897,3897,0,0,0,0,0,0,3897,2,1,3,0,1,24,60,24,59,E,3,N,5,2,126450,260100,126450,260100,1910,0,0,East Village/Lower East Side Historic Di, ,2.71,4,0,4,1,1004450002,0,38,987157,203646,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,176.6229833,1614.699274,133650,1,0,7238,7238,7,1575,29.97444344,34.46077728,4.486333847,30.61534827,1.56988982,214.3074379 +7239,MN,193,10,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,50 WHITE STREET,C6-2A, , , , , , , , , ,N,D4,3,0,P,R COPLANA,3778,19600,5600,14000,5600,0,0,0,0,0,2,1,5,4,6,37.67,100.83,38,93,E,3,Y,5,2,156600,782998,0,0,1921,1981,2006,Tribeca East Historic District,WOODS MERCANTILE BUILDINGS,5.19,6.02,6,6.5,1,1001930010,0,33,983159,201108,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,284.7122579,3965.549428,626398,14,0,7239,7239,18,4050,13.68111134,13.68111134,0,13.68111134,0,246.260004 +7240,MN,373,32,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,37 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,COALITION PLAZA II LP,3525,14780,1000,13780,0,1000,0,0,0,0,2,1,6,16,18,35.25,81,35.25,73,E,0,Y,3,5,276750,790200,262913,750690,1900,1992,0, , ,4.19,6,0,6,1,1003730032,0,2601,990309,202059,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,308.4391596,3671.770885,513450,1,1,7240,7240,16,3600,10.97999954,13.28444481,2.304445267,11.47087473,0.8232783,183.5339956 +7241,MN,385,54,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,232 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,230 E. 2ND ASSOCIATES,2543,9049,0,9049,0,0,0,0,0,0,2,1,6,24,24,24,105.92,24,73, ,3,N,5,2,202500,1020150,0,0,1910,1985,0, , ,3.56,4,0,4,1,1003850054,0,2202,989192,202225,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,263.0441977,2489.839247,817650,1,0,7241,7241,11,2475,16.86222267,16.86222267,0,16.86222267,0,185.4844494 +7242,MN,71,7501,101,15.02,2010,2,1,10038,E004,1,15,7700, ,1, ,175 WATER STREET,C5-3, , , , , ,LM, , , ,N,RC,5,0, ,AMERICAN INTERNATIONA,24121,462377,462377,0,455733,6644,0,0,0,0,2,1,30,0,30,197.73,131.73,0,0, ,0,Y,0,5,14039977,51361646,0,0,1983,0,0, , ,19.17,10,15,15,1,1000717501,960,1502,982828,196623,12b, ,101S008,10102, ,1000710025,2/26/1997,1,1,1,17V1.1,7,650.7503305,25386.67756,37321700,4,1,7242,7242,113,25425,5.993332863,6.908888817,0.915555954,6.063444036,0.20238977,685.1691761 +7243,MN,478,37,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,158H BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,JOEL HOROWITZ,1666,4236,4236,0,1158,1666,0,1412,0,0,2,1,4,0,1,16.67,100,16,95, ,3,Y,5,2,191250,599400,0,0,1900,0,0, , ,2.54,3.44,6,6.5,1,1004780037,0,41,985758,201588,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,237.2160829,1727.28154,408150,0,0,7243,7243,8,1800,35.62666702,35.62666702,0,35.62666702,0,285.0133362 +7244,MN,574,60,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,31 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,HOLIAT EDWARD,2400,11292,4900,6392,4900,0,0,0,0,0,2,1,5,6,7,25.33,94.75,25,78, ,3,N,5,1,220340,860134,0,0,1900,0,0,Greenwich Village Historic District, ,4.71,2.43,0,4.8,1,1005740060,0,63,985094,206799,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,249.3857599,2572.407529,639794,8,0,7244,7244,12,2700,20.66300011,24.34477806,3.681777954,21.14722236,1.091486424,253.7666683 +7245,MN,434,21,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,114 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,114-116 E 7TH OWNER L,4545,20225,900,19325,0,900,0,0,0,0,2,2,5,28,30,50,90.83,25,52, ,3,N,5,1,246150,1303200,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,4.45,4,0,4,1,1004340021,0,32,988523,203873,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,288.5061107,4754.458348,1057050,12,0,7245,7245,21,4725,18.26222229,21.71777725,3.455554962,18.7146561,1.115126664,393.0077782 +7246,MN,643,54,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,842 GREENWICH STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,46-50 GANSEVOORT STRE,6427,9685,9685,0,0,9685,0,0,0,0,2,1,2,0,1,69.42,92.58,69.42,92.58, ,3,Y,3,2,1102500,4380750,0,0,1941,2004,0,Gansevoort Market Historic District, ,1.51,0,5,6.5,1,1006430054,0,79,982392,208589,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,328.5095689,6615.408729,3278250,8,1,7246,7246,30,6750,11.21500015,12.59666634,1.381666183,11.44833352,0.479175141,343.4500055 +7247,MN,193,15,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,38 WHITE STREET,C6-2A, , , , , , , , , ,N,C8,2,0, ,OFF WHITE CORP,3661,17000,3200,13800,0,3200,0,0,0,0,2,1,5,5,6,25.08,128,25,124,E,3,Y,5,2,348394,1076593,9850,9850,1915,1974,0,Tribeca East Historic District, ,4.64,6.02,6,6.5,1,1001930015,0,33,983050,201207,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,363.9806113,3732.807072,728199,14,0,7247,7247,17,3825,13.68111134,13.68111134,0,13.68111134,0,232.5788927 +7248,MN,72,13,101,15.02,2011,2,1,10038,E004,1,15,7700,1,1, ,163 FRONT STREET,C5-3, , , , , ,LM, , , ,N,L2,6,0, ,OCEANWIDE CENTER NY L,6552,58500,58500,0,0,0,0,58500,0,0,2,1,10,0,1,25.46,162.54,25,162, ,3,Y,3,2,1827900,3392550,0,0,1915,0,0, , ,8.93,10,15,15,1,1000720013,0,1502,982957,196398,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,460.3234362,6786.158761,1564650,4,1,7248,7248,27,6075,5.993332863,7.474444389,1.481111526,6.048188845,0.279711725,163.3010988 +7249,MN,471,1,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,1 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,A4,1,0,P,"HERITAGE FUNDING, LLC",1047,3700,0,3700,0,0,0,0,0,0,2,1,4,1,1,17.42,59.17,17,59,E,2,N,5,2,52883,107611,0,0,1900,1986,2005, , ,3.53,6.02,6,6.5,1,1004710001,0,41,984882,201522,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,154.7796895,1058.74689,54728,0,0,7249,7249,5,1125,24.86333275,27.78111076,2.917778015,25.44688835,1.167111206,127.2344418 +7250,MN,497,12,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,552 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,ROYAL CROSPIN CORP,12538,67440,61190,6250,36190,25000,0,0,0,0,2,2,6,4,14,74.83,200,74.83,200, ,3,Y,4,2,2821050,26337600,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.38,0,5,6.5,1,1004970012,0,43,984821,202939,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,566.3244907,12933.09072,23516600,0,0,7250,7250,57,12825,31.61100006,35.80110931,4.190109253,31.7440312,0.701607827,1809.409779 +7251,MN,778,52,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,224 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,WALSAM TWENTY NINE CO,4562,45211,45211,0,40955,4256,0,0,0,0,2,1,14,0,17,49.75,68.67,49.75,105, ,0,Y,5,5,360000,3451500,0,0,1926,0,0, , ,9.91,10,10,10,1,1007780052,0,95,985848,211856,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,313.9952642,4710.509547,3091500,6,0,7251,7251,20,4500,28.45999908,31.53111076,3.071111679,28.87794371,0.997960814,577.5588741 +7252,MN,720,55,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,416 WEST 23 STREET,C1-6A, , , , , , , , , ,N,D1,3,0, ,416 W 23RD STREET PAR,4789,18079,0,18079,0,0,0,0,0,0,2,1,6,24,24,48.5,98.75,48.5,62, ,3,N,5,2,291600,1345050,0,0,1900,0,0, , ,3.78,4,2,4,1,1007200055,0,93,983638,211267,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,302.3105801,4994.724999,1053450,2,1,7252,7252,22,4950,9.369999886,14.63333321,5.263333321,10.51716657,1.923132918,231.3776646 +7253,MN,145,12,101,21,1000,2,1,10007,E007,1,15,7700,1,1,3A,125 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,H3,5,0,P,95 WEST BROADWAY HOLD,7593,53039,6075,0,0,6075,0,0,0,0,2,1,7,0,6,100.08,76.08,100,74, ,3,N,3,2,4446000,11740500,0,0,1920,1950,0,Tribeca South Historic District, ,6.99,7.52,6,7.5,1,1001450012,0,21,981808,199968,12b,Y,101S017,10104, ,0, ,1, , ,17V1.1,0,370.2191606,8438.40537,7294500,14,0,7253,7253,38,8550,21.27222252,23.35333252,2.081110001,21.36152659,0.389009256,811.7380104 +7254,MN,818,1,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,572 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K4,4,0, ,KALOUDIS DESPINA,1939,7696,7696,0,3696,2000,0,0,0,2000,2,1,4,0,4,29.83,65,30,65, ,3,N,3,2,405000,503100,0,0,1920,0,0, ,574 SIXTH AVENUE BUILDING (PART OF,3.97,6.02,6,6.5,1,1008180001,0,54,985483,208397,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,203.1575193,2254.987429,98100,7,0,7254,7254,11,2475,31.11599922,32.29888916,1.182889938,31.22353467,0.340056948,343.4588814 +7255,MN,925,34,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,329 1 AVENUE,C1-6A, , , , , , , , , ,N,K2,5,0,P,"329 1ST AVE, LLC",3658,7604,7604,0,0,7604,0,0,0,0,2,1,2,0,2,45.67,80,45.67,80, ,3,N,3,2,634500,2905650,0,0,1910,1969,2012, , ,2.08,4,2,4,1,1009250034,0,64,989649,206938,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,262.741773,3993.343959,2271150,5,0,7255,7255,18,4050,15.27999973,15.27999973,0,15.27999973,0,275.0399952 +7256,MN,518,7503,102,49,3000,2,3,10012,L020,1,15,6800,1,2, ,136 SULLIVAN STREET,R7-2, , , , , , , , , ,N,R1,2,0, , ,2500,8528,0,8528,0,0,0,0,0,0,2,1,7,6,6,25,100,0,0, ,0,N,0,5,95352,1001002,0,0,1994,0,0,Sullivan-Thompson Historic District, ,3.41,3.44,0,6.5,1,1005187503,955,49,983610,204114,12a, ,101N068,10206, ,1005180041,2/26/1997,1, , ,17V1.1,7,252.0214647,2562.983426,905650,9,0,7256,7256,11,2475,20.52111053,20.52111053,0,20.52111053,0,225.7322159 +7257,MN,573,73,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,57 WEST 9 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"KRIEGER, ROBERTA",2045,3037,0,3037,0,0,0,0,0,0,2,1,4,3,3,22.17,92.25,22.17,46, ,3,N,5,2,56974,198698,0,0,1899,0,0,Greenwich Village Historic District, ,1.49,2.43,0,4.8,1,1005730073,0,63,984777,206694,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,232.3819869,2086.561356,141724,8,0,7257,7257,9,2025,18.98099899,20.31666756,1.335668564,19.12940661,0.419760133,172.1646595 +7258,MN,633,18,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,318 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"STROLIGO, CHRIS M",1400,2320,0,2320,0,0,0,0,0,0,2,1,3,2,2,20,41,20.67,40,E,2,Y,5,2,35244,112688,0,0,1899,0,0,Greenwich Village Historic District, ,1.66,2.43,0,4.8,1,1006330018,0,75,982293,207246,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,189.7333135,1586.9296,77444,9,0,7258,7258,6,1350,15.64700031,20.57666779,4.929667473,17.22077815,2.228905791,103.3246689 +7259,MN,214,1,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,53 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,W1,8,0, ,WEGWEISER & EHRLICH,5027,30000,30000,0,0,0,0,30000,0,0,2,1,6,0,1,50.33,99.92,50,95, ,2,Y,3,2,599400,2626200,0,0,1915,0,0,Tribeca West Historic District, ,5.97,6.02,6,6.5,1,1002140001,0,39,981646,201927,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,311.3214236,5538.586037,2026800,14,1,7259,7259,25,5625,12.28499985,13.81888866,1.533888817,12.42108871,0.380995485,310.5272179 +7260,MN,568,31,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,9 EAST 10 STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,9 EAST 10 ASSOCIATES,4013,15150,0,15150,0,0,0,0,0,0,2,1,5,10,10,24.42,94.75,25,81,E,3,Y,5,2,206972,774986,0,0,1900,1980,0,Greenwich Village Historic District, ,3.78,3.44,0,6.5,1,1005680031,0,61,985785,206449,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,333.3514255,4158.317172,568014,8,0,7260,7260,20,4500,29.93888855,33.97999954,4.041110992,30.2239996,0.934454334,604.4799919 +7261,MN,465,28,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,23 STUYVESANT STREET,R8B, , , , , , , , , ,N,C0,2,0, ,BETH FLUSSER,976,2800,0,2800,0,0,0,0,0,0,2,1,5,3,3,16,62.67,16,35, ,2,Y,5,2,38983,99490,8450,8450,1899,0,0,St. Mark's Historic District, ,2.87,4,0,4,1,1004650028,0,40,987446,205273,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,157.8334093,1025.934958,60507,12,0,7261,7261,5,1125,33.48777771,33.48777771,0,33.48777771,0,167.4388886 +7262,MN,768,16,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,237 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C4,2,0,P,237 REALTY NY LLC,2300,10524,1754,8770,877,877,0,0,0,0,2,1,5,20,22,25,92,25,84, ,3,N,5,1,180450,1146600,0,0,1930,1989,0, , ,4.58,6.02,6,6.5,1,1007680016,0,87,984408,209589,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,232.4643125,2204.010774,966150,7,0,7262,7262,10,2250,21.88888931,23.98777771,2.098888397,22.09877815,0.629666519,220.9877815 +7263,MN,616,1,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,42 8 AVENUE,C1-6, , , , , , , , , ,N,D4,3,0,P,31 JANE STREET TENANT,7012,91500,5000,86500,0,5000,0,0,0,0,2,1,17,127,129,89.42,116.42,89,100, ,2,Y,3,2,1125000,8805600,224760,224760,1962,1984,0,Greenwich Village Historic District, ,13.05,3.44,2,6.5,1,1006160001,0,77,983260,208253,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,352.3033353,6995.371746,7680600,8,0,7263,7263,32,7200,21.81777763,23.60000038,1.782222748,21.87347209,0.310093634,699.951107 +7264,MN,463,20,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,22 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,22 ST MARK S PLACE LP,3120,11400,2280,9120,0,2280,0,0,0,0,2,1,5,22,24,26,120,26,104, ,3,N,5,2,463500,1570050,0,0,1900,1984,0, , ,3.65,4,0,4,1,1004630020,0,38,987326,204811,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,296.9537674,3202.614728,1106550,12,0,7264,7264,14,3150,34.15777969,34.15777969,0,34.15777969,0,478.2089157 +7265,MN,633,7501,102,75,2003,2,3,10014,L005,6,15,6400,2,2, ,744 GREENWICH STREET,R6,C1-6A, , , , , , , , ,Y,R1,2,0, , ,4015,15023,0,15023,0,0,0,0,0,0,2,1,6,5,5,51.08,82.25,0,0, ,0,Y,0,5,122465,1767509,0,281104,2006,0,0,Greenwich Village Historic District, ,3.74,2.43,0,4.8,1,1006337501,1689,75,982274,207190,12a, ,103 012,10210, ,1006330020,5/14/2007,1, , ,17V1.1,7,351.8555578,4761.696175,1645040,9,0,7265,7265,22,4950,15.33111095,20.55333328,5.222222328,16.49361615,2.057186321,362.8595552 +7266,MN,642,150,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,78 HORATIO STREET,R6, , , , , , , , , ,N,B9,1,0, ,"FOTOS, CONSTANTINE",1625,3657,0,3657,0,0,0,0,0,0,2,2,3,2,2,49.62,32.75,49.63,20.75, ,2,Y,6,4,48308,183907,0,0,1888,2008,0,Greenwich Village Historic District, ,2.25,2.43,0,4.8,1,1006420150,0,79,982263,208332,8b, ,103 014,10210, ,1006420150,2/9/2012,1, , ,17V1.1,0,168.5348029,1714.582216,135599,8,1,7266,7266,9,2025,10.79777813,10.79777813,0,10.79777813,0,97.18000317 +7267,MN,645,44,102,79,1008,2,3,10014,L005,6,15,6100,1,2,3B,21 9 AVENUE,M1-5, , , , , , , , , ,N,K4,4,0, ,25 NINTH AVE CORP,5180,19574,19574,0,2534,17040,0,0,0,0,2,1,4,0,2,77.51,66.83,77.51,66.83,E,2,N,3,2,900000,6001650,0,0,1920,2010,2010,Gansevoort Market Historic District, ,3.78,0,5,6.5,1,1006450044,0,79,982519,208954,8b, ,103 039,10210, ,1006450044,12/15/2010,1, , ,17V1.1,0,294.4802835,5391.721582,5101650,8,1,7267,7267,23,5175,11.63800049,15.26888943,3.630888939,11.94594251,0.904053621,274.7566776 +7268,MN,718,97,104,89,4001,2,3,10011,E003,10,15,5600,1,4,1B,421 WEST 20 STREET,R7B, , , , , , , , , ,N,W7,8,0, ,"4 CHELSEA SQUARE, LLC",3095,5390,5390,0,0,0,0,0,0,5390,2,1,0,0,1,38.14,68.54,0,0, ,2,N,5,2,271800,688050,0,0,1827,0,0,Chelsea Historic District, ,1.74,3,0,3,1,1007180097,0,89,983242,210780,8b, ,103 042,10302, ,1007180001,3/29/2011,1, , ,17V1.1,0,235.0198388,3094.981649,416250,7,0,7268,7268,14,3150,13.44200039,19.55222321,6.110222816,15.19803224,2.47298546,212.7724514 +7269,MN,907,14,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,221 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"EMGE, INC.",2469,7970,0,7970,0,0,0,0,0,0,2,1,5,11,11,25,98.75,25,60, ,3,N,5,2,135000,750600,0,0,1920,1959,0, , ,3.23,4,0,4,1,1009070014,0,66,989624,209058,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,252.4276491,2566.694127,615600,11,0,7269,7269,11,2475,35.09000015,40.15888977,5.068889618,36.01888934,1.603075216,396.2077827 +7270,MN,619,51,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,335 BLEECKER STREET,C1-6, , , , , , , , , ,N,S9,4,0,P,CHRISTOPHER BLEECKER,997,2661,800,1861,0,800,0,0,0,0,2,1,3,2,4,36.75,29.5,36,29, ,0,Y,5,5,41850,61521,0,0,1900,1987,0,Greenwich Village Historic District, ,2.67,3.44,2,6.5,1,1006190051,0,73,983074,206574,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,126.9910666,987.4238872,19671,9,0,7270,7270,4,900,23.46111107,23.46111107,0,23.46111107,0,93.84444427 +7271,MN,501,31,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,97 WOOSTER STREET,M1-5A, , , , , , , , , ,N,S5,4,0,P,97 WOOSTER CORP. C/O,1875,11613,1659,9954,0,1659,0,0,0,0,2,1,7,6,7,25,75,25,74, ,3,N,5,2,103606,804761,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,6.19,0,5,6.5,1,1005010031,0,49,983946,203237,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,206.3930445,1981.519962,701155,0,0,7271,7271,9,2025,15.00755596,15.00755596,0,15.00755596,0,135.0680037 +7272,MN,627,7502,102,79,4003,2,3,10014,L005,6,15,6100,3,2, ,57 HORATIO STREET,R6, , , , , , , , , ,N,R6,2,0, , ,1000,2972,0,2972,0,0,0,0,0,0,2,1,3,3,3,20,50,20,42.91,E,3,N,0,1,85010,202199,0,0,1910,2002,0,Greenwich Village Historic District, ,2.97,2.43,0,4.8,1,1006277502,1316,79,982515,208475,8b, ,103 035,10210, ,1006270023,1/26/2004,1, , ,17V1.1,7,139.3913184,982.2864057,117189,8,0,7272,7272,6,1350,14.72666645,15.47777748,0.751111031,14.85185162,0.279922554,89.11110973 +7273,MN,819,59,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,30 WEST 18 STREET,C6-4A, , , , , , , , , ,N,D7,4,0, ,30 WEST 18 ASSOCIATES,6900,98690,13185,85505,2945,6880,0,3360,0,0,2,1,20,98,100,75,92,75,92, ,3,Y,5,2,2484000,13215150,0,2435017,2005,0,0,Ladies' Mile Historic District, ,14.3,10,10,10,1,1008190059,0,54,986029,208522,8d, ,102 041,10306,E-131,1008190059,3/23/2006,1, , ,17V1.1,0,356.5197059,7384.272647,10731200,7,0,7273,7273,34,7650,32.36888886,36.27666473,3.907775879,32.69679081,1.056498766,1111.690887 +7274,MN,201,10,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,74 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,GOOD YEAR DEVELOP/LTD,2350,11125,4450,6675,2225,2225,0,0,0,0,2,1,5,16,19,25,94,25,89, ,3,N,5,2,225000,745200,0,0,1915,1987,0, , ,4.73,3.44,6,6.5,1,1002010010,0,29,984864,200254,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,239.4388574,2404.300916,520200,14,0,7274,7274,11,2475,33.0379982,33.0379982,0,33.0379982,0,363.4179802 +7275,MN,447,39,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,339 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,FAR EAST REALTY,2425,8090,1300,6790,0,1300,0,0,0,0,2,2,5,8,9,25,97,25,52, ,0,N,5,5,77406,259342,0,0,1900,0,0, , ,3.34,4,0,4,1,1004470039,0,38,987810,203874,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.4741039,2474.310451,181936,1,0,7275,7275,12,2700,27.01499939,30.51222229,3.4972229,28.04478661,1.317358064,336.5374393 +7276,MN,886,31,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,133 EAST 30 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,133-135 EAST 30TH STR,3950,14990,1000,13990,1000,0,0,0,0,0,2,1,5,21,22,40,98.75,40,88, ,3,N,5,2,354600,1249200,54960,54960,1900,0,0, , ,3.79,4,0,4,1,1008860031,0,72,989534,210284,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,287.3373919,4108.412021,894600,10,0,7276,7276,18,4050,28.17889023,31.36444473,3.185554504,28.81759357,1.153377485,518.7166843 +7277,MN,423,5,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,137 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,SHELROB REALTY CORP,2674,10600,10600,0,2674,2674,0,0,0,5252,2,1,4,0,4,25,107.83,25,106,E,3,Y,5,2,281250,965700,0,0,1930,2006,0, , ,3.96,3.44,6,6.5,1,1004230005,0,18,985826,201128,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,266.8136934,2759.501758,684450,0,0,7277,7277,11,2475,34.16999817,34.16999817,0,34.16999817,0,375.8699799 +7278,MN,585,28,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,87 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,950,3595,0,3595,0,0,0,0,0,0,2,1,5,5,5,18.5,51.33,19,40, ,3,N,5,2,100785,239791,5296,5296,1910,1982,0,Greenwich Village Historic District, ,3.78,2.43,0,4.8,1,1005850028,0,73,982774,205932,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,140.6669195,986.220876,139006,9,0,7278,7278,5,1125,18.5988884,18.5988884,0,18.5988884,0,92.99444199 +7279,MN,546,1,102,59,3005,2,1,10003,L009,6,15,5700,1,2,2A,79 WASHINGTON SQUARE E,R7-2, , , , , , , , , ,N,H8,8,0,X,NEW YORK UNIVERSITY,11242,38899,5040,0,2520,2520,0,0,0,0,2,1,7,93,95,112.42,100,114,100, ,2,N,3,2,1350000,3600900,1350000,3600900,1900,1986,0, , ,3.46,3.44,0,6.5,1,1005460001,0,59,985308,205104,12c, ,103 023,10207, ,1005460003,12/20/1986,1, , ,17V1.1,0,434.9844547,11776.37941,2250900,9,0,7279,7279,51,11475,32.96888733,34.67555618,1.706668854,33.00235142,0.236626886,1683.119923 +7280,MN,450,46,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,57 ST MARKS PLACE,R8B, , , , , , , , , ,N,I5,8,0,P,ECCLESIA LTD,2471,6142,5642,500,0,0,0,0,0,5642,2,1,4,1,2,25,98.83,25,82,E,3,N,5,1,229500,792450,0,0,1920,0,0, , ,2.49,4,0,4,1,1004500046,0,38,988022,204620,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,240.6403626,2368.759054,562950,12,0,7280,7280,10,2250,25.4810009,26.41066742,0.929666519,25.66675625,0.37151091,256.6675625 +7281,MN,912,57,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,214 EAST 32 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,BARKSDALE 32 LLC,1852,3752,0,3752,0,0,0,0,0,0,2,1,3,8,8,18.75,98.75,19,48, ,3,N,5,1,84065,325282,0,0,1910,0,0, , ,2.03,3,0,3,1,1009120057,0,70,990229,210311,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,238.45199,1829.906783,241217,10,0,7281,7281,9,2025,26.45000076,27.27111053,0.821109772,26.55530908,0.256137274,238.9977818 +7282,MN,432,35,103,32,3000,1,2,10009,E028,9,14,6600,1,3,3A,79 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,79 AVE A REALTY LLC,2030,5443,1050,4393,0,1050,0,0,0,0,2,1,4,6,8,27.33,74.25,27,64, ,2,N,5,2,39222,142292,0,0,1920,0,0, , ,2.68,4,0,4,1,1004320035,0,32,988538,203455,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,209.3271619,2115.130391,103070,1,0,7282,7282,10,2250,21.1060009,22.30999947,1.203998566,21.46662273,0.424741109,214.6662273 +7283,MN,910,38,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,246 EAST 30 STREET,C1-8A, , , , , , , , , ,N,C0,2,0, ,SECOND AVENUE AND 30T,1547,3400,0,3400,0,0,0,0,0,0,2,1,4,3,3,17.5,88.42,17.42,50, ,2,N,5,2,75738,132710,0,0,1901,0,0, , ,2.2,7.52,2,7.5,1,1009100038,0,70,990265,209707,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,212.8080222,1528.529174,56972,10,0,7283,7283,8,1800,34.37666702,35.79000092,1.413333893,34.85222292,0.619217671,278.8177834 +7284,MN,514,7503,102,49,1001,2,1,10012,L020,1,15,6800,1,2, ,109 PRINCE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,4750,19622,9909,9713,0,9909,0,0,0,0,2,1,5,3,5,50,95,0,0, ,0,Y,0,5,356097,2372214,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.13,0,5,6.5,1,1005147503,990,49,984429,203503,12c, ,101N072,10206, ,1005140035,4/7/1998,1, , ,17V1.1,7,301.7195135,5199.175911,2016120,9,0,7284,7284,24,5400,22.59666634,25.01222229,2.415555954,22.6973145,0.482691641,544.735548 +7285,MN,150,4,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,62 READE STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,FOLLETT TIME DEVICES,1588,6976,6976,0,0,1395,0,5581,0,0,2,1,5,0,4,25.67,61.83,26,61, ,3,Y,5,2,99000,435150,0,0,1915,1989,0,Tribeca South Historic District, ,4.39,6.02,6,6.5,1,1001500004,0,33,982454,199819,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,179.3128317,1655.055856,336150,14,0,7285,7285,8,1800,23.54111099,23.54111099,0,23.54111099,0,188.3288879 +7286,MN,738,68,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,352 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,WEST 15 STREET ASSOCI,5163,22318,0,22318,0,0,0,0,0,0,2,1,6,36,36,50,103.25,50,86, ,3,N,5,2,216900,2521800,0,0,1911,0,0, , ,4.32,4,0,4,1,1007380068,0,83,983105,209272,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,310.0489076,5116.256922,2304900,7,0,7286,7286,23,5175,16.15333366,18.00777817,1.854444504,16.30536262,0.493622864,375.0233402 +7287,MN,283,17,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,141 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,M2,8,0,X,ST TERESAS R C CHURCH,2233,7569,7569,0,0,0,0,0,0,7569,2,1,4,0,1,22.33,100,22,96, ,3,N,5,2,204750,419850,204750,419850,1900,1985,0, , ,3.39,3.44,0,6.5,1,1002830017,0,6,986833,199246,12d, ,101N054,10107, ,1002830018,3/15/2001,1, , ,17V1.1,0,263.0784272,2507.982081,215100,16,0,7287,7287,12,2700,28.23333359,28.23333359,0,28.23333359,0,338.8000031 +7288,MN,449,10,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,42 1/2 ST MARKS PLACE,R8B, , , , , , , , , ,N,S2,4,0, ,"LAM, WARREN",665,2558,532,2026,0,532,0,0,0,0,2,1,4,2,3,19,35,19,35, ,3,N,5,1,28797,53119,0,0,1880,2016,2016, , ,3.85,4,0,4,1,1004490010,0,38,987788,204602,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,106.1573127,615.2368322,24322,12,0,7288,7288,4,900,26.66699982,32.38111115,5.714111328,28.26505566,2.392476454,113.0602226 +7289,MN,909,55,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,409 3 AVENUE,C2-8, , , , , , , , , ,N,K2,5,0, ,THE MEHTA FAMILY REAL,2160,5066,5066,0,0,5066,0,0,0,0,2,1,2,0,2,24.08,90,24,90,E,3,N,5,2,194400,812700,0,0,1920,2008,0, , ,2.35,10,2,10,1,1009090055,0,66,989726,209719,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,239.2415939,2338.221274,618300,11,0,7289,7289,11,2475,35.64599991,39.39444351,3.748443604,35.98676751,1.07760177,395.8544426 +7290,MN,823,1,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,676 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K2,5,0, ,"APHIS REALTY, INC.",2344,4600,4600,0,0,4600,0,0,0,0,2,1,2,0,2,24.67,95,25,93, ,3,N,3,2,326250,1496700,0,0,1910,0,0,Ladies' Mile Historic District, ,1.96,6.02,6,6.5,1,1008230001,0,58,986088,209457,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,242.1090226,2387.111856,1170450,7,0,7290,7290,11,2475,33.74333191,35.71111298,1.967781067,33.9222211,0.565697283,373.1444321 +7291,MN,133,7504,101,21,1005,2,1,10007,L010,1,15,7700, ,1, ,37 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,37 MURRAY ST CONDO,3769,24376,9620,14756,3220,3220,0,3180,0,0,2,1,6,8,10,50.17,75.21,50,90, ,0,N,0,5,1017004,3084358,7080,7080,1969,0,0, , ,6.47,7.52,6,7.5,1,1001337504,1084,21,981775,199425,12b, ,101S017,10104, ,1001330003,12/20/1999,1, , ,17V1.1,7,261.2194332,4039.220553,2067350,3,0,7291,7291,18,4050,25.60300064,25.60300064,0,25.60300064,0,460.8540115 +7292,MN,426,10,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,231 BOWERY,C6-1, , , , , , , , , ,N,L8,6,0,P,THE NEW MUSEUM OF CON,9000,47067,38377,8690,7845,5000,0,19817,0,5715,2,1,6,2,3,51.58,174.5,50,175, ,3,N,5,2,607500,2952900,449550,2185146,1920,0,2014, , ,5.23,3.44,6,6.5,1,1004260010,0,3601,986246,202375,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,455.8229369,8934.981342,2345400,13,0,7292,7292,40,9000,41.51444626,44.53111267,3.016666412,41.73390446,0.771159587,1669.356178 +7293,MN,890,3,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,9 PARK AVENUE,C5-3, , , , , , , , , ,N,G1,10,0,P,"PARK & 34TH REALTY,",4213,35286,35286,0,0,0,35286,0,0,0,2,1,8,0,1,40,100,40,100, ,1,Y,5,2,855000,2946150,0,0,1965,0,0, , ,8.38,10,15,15,1,1008900003,0,72,989582,211505,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,301.1142284,4160.33337,2091150,10,0,7293,7293,18,4050,54.3030014,66.14221954,11.83921814,54.96073574,2.711908162,989.2932434 +7294,MN,574,20,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,48 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,JOSEPH SPEED CARROLL,2061,3984,0,2922,0,0,0,0,0,0,2,1,3,3,3,21.75,94.75,21.75,49, ,3,N,5,1,77300,237384,0,0,1899,0,0,Greenwich Village Historic District, ,1.93,2.43,0,4.8,1,1005740020,0,63,985074,206921,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.2615799,2058.022738,160084,8,0,7294,7294,10,2250,23.85844421,26.24111176,2.382667542,24.63404408,0.891662411,246.3404408 +7295,MN,409,29,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,250 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,SMGB BROOME LLC,2711,12281,2396,9885,0,2396,0,0,0,0,2,1,6,22,24,30.98,87.5,31,75, ,3,N,5,2,145800,1679850,0,0,1890,0,0, , ,4.53,4,4,4,1,1004090029,0,18,987102,200923,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,241.2313754,2772.60341,1534050,13,0,7295,7295,13,2925,35.36399841,36.15155792,0.787559509,35.42457991,0.209860474,460.5195389 +7296,MN,588,35,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,44 BARROW STREET,R6, , , , , , , , , ,N,W8,8,0,X,COOP-SOC SETTLEMNT SO,2172,3971,3971,0,0,0,0,0,0,3971,2,1,3,0,1,22.33,97.25,22,58,E,3,N,5,1,284400,485550,284400,485550,1900,0,0,Greenwich Village Historic District, ,1.83,2.43,0,4.8,1,1005880035,0,73,983006,206050,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,240.0037469,2186.190669,201150,9,0,7296,7296,11,2475,18.94666672,19.01444435,0.067777634,18.95282832,0.0194847,208.4811115 +7297,MN,904,7,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,209 EAST 23 STREET,C2-8A, , , , , , , , , ,N,W6,8,0,P,VISUAL ARTS HOLDING C,7226,38248,38248,0,0,0,0,0,0,38248,2,1,6,0,1,73.17,98.75,73,93, ,3,N,5,2,778500,3598650,0,0,1980,0,0, , ,5.29,10,2,10,1,1009040007,0,64,989171,208426,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,350.7733339,7507.969862,2820150,11,0,7297,7297,34,7650,21.18099976,21.18099976,0,21.18099976,0,720.1539917 +7298,MN,743,20,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,335 WEST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,ROTA HOLDING CORP,4584,14540,0,14540,0,0,0,0,0,0,2,1,4,44,44,49.75,92,50,72, ,3,N,5,2,247500,1339650,0,0,1938,0,0, , ,3.17,3,0,3,1,1007430020,0,89,983815,210196,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,286.3331699,4643.809078,1092150,7,0,7298,7298,22,4950,15.57888889,20.70777702,5.12888813,16.75080299,1.824776944,368.5176659 +7299,MN,236,20,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1A,189 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0,P,ITALIAN AMERICAN MUSE,1554,3837,1100,2737,0,1100,0,0,0,0,2,2,3,2,3,20.08,74.33,20,55, ,0,Y,3,5,14377,35830,0,0,1900,0,0, , ,2.47,6.02,6,6.5,1,1002360020,0,41,984941,201291,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,197.0560107,1697.410493,21453,0,0,7299,7299,7,1575,24.0720005,26.29555511,2.223554611,24.38965116,0.77808203,170.7275581 +7300,MN,515,31,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,141 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,GOOD DEAL RLTY CORP,7500,54600,13000,41600,13000,0,0,0,0,0,2,1,8,28,33,75,100,75,87, ,2,N,5,2,558000,6316200,14980,14980,1910,1988,2004,SoHo-Cast Iron Historic District, ,7.28,0,5,6.5,1,1005150031,0,49,984287,203787,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,360.0248531,7895.99649,5758200,9,0,7300,7300,35,7875,20.20444489,24.32666779,4.1222229,20.32222268,0.686756669,711.2777939 +7301,MN,905,21,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,235 EAST 24 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,SCHAINBERG MARION A,2910,13242,1000,12242,0,1000,0,0,0,0,2,1,6,24,25,29.33,98.75,29,86, ,3,N,5,2,176400,981000,0,0,1920,1986,0, , ,4.55,4,0,4,1,1009050021,0,66,989506,208534,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,264.3278246,3040.934616,804600,11,0,7301,7301,14,3150,26.78800011,31.82888985,5.04088974,27.39161927,1.510349393,383.4826698 +7302,MN,764,43,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,206 WEST 15 STREET,R8B, , , , , , , , , ,N,A5,1,0, ,"HPNY II, L.L.C.",2141,5504,0,5504,0,0,0,0,0,0,2,1,4,1,1,24.75,86.5,24.75,86.5, ,2,N,5,2,37766,170698,0,0,1901,2009,0, , ,2.57,4,0,4,1,1007640043,0,81,984299,208619,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,224.3147764,2083.588889,132932,7,0,7302,7302,9,2025,24.42199898,24.66622162,0.244222641,24.44913483,0.076751771,220.0422134 +7303,MN,197,24,101,31,1002,2,1,10013,L001,5,15,7700,1,1, ,244 CANAL STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,EGLISAU CANAL REALTY,1349,5740,5740,0,4140,1600,0,0,0,0,2,1,4,0,5,23,60.33,23,60,E,3,Y,5,2,126000,781200,0,0,1915,0,0, , ,4.26,0,5,6.5,1,1001970024,0,31,984143,200871,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,167.0433325,1351.662881,655200,14,0,7303,7303,6,1350,13.86800003,13.86800003,0,13.86800003,0,83.20800018 +7304,MN,562,34,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,51 EAST 10 STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,"BERGMAN, PETER",2654,7952,3332,4620,0,3332,0,0,0,0,2,1,4,8,11,28,94.75,28,55, ,3,N,5,1,237150,2074500,0,0,1900,0,0, , ,3,3.44,0,6.5,1,1005620034,0,61,986428,206060,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,249.3451535,2708.88773,1837350,8,0,7304,7304,12,2700,34.39444351,34.39444351,0,34.39444351,0,412.7333221 +7305,MN,590,48,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,33 CORNELIA STREET,R7-2,R6, , ,C1-5, , , , , ,Y,K9,5,0, ,DUNLIN PROPERTIES LLC,2055,2048,2048,0,0,2048,0,0,0,0,2,2,1,0,1,21.08,97.5,18,45, ,2,N,5,0,155250,305100,0,0,1900,0,0,Greenwich Village Historic District Exte, ,1,3.44,0,6.5,1,1005900048,0,67,983511,205760,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,240.0110597,2079.106839,149850,9,0,7305,7305,9,2025,17.54000092,21.35111046,3.811109543,18.41491424,1.411741158,165.7342281 +7306,MN,553,11,102,63,5001,2,1,10011,E033,6,15,5700,1,2,3A,58 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,RETURN TO HOME,7265,23897,4780,19117,0,4780,0,0,0,0,2,5,5,28,32,66,113.75,66,54, ,0,Y,5,5,1440000,4304700,0,0,1900,1988,0,Greenwich Village Historic District, ,3.29,3.44,3.4,6.5,1,1005530011,0,63,984469,206397,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,361.872082,7267.396515,2864700,8,0,7306,7306,32,7200,17.50333405,19.21666718,1.71333313,17.60972291,0.412051673,563.5111332 +7307,MN,829,56,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,1179 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0,P,AEP PROPERTIES INC,2013,7500,7500,0,5625,1875,0,0,0,0,2,1,4,0,6,25,85.58,25,75,E,3,Y,5,2,634500,1476000,0,0,1940,1972,0,Madison Square North Historic District, ,3.73,0,10,10,1,1008290056,0,58,987288,210760,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,221.5746553,2111.300871,841500,2,0,7307,7307,8,1800,42.75111008,42.75111008,0,42.75111008,0,342.0088806 +7308,MN,234,11,102,45,1008,2,1,10013,E055,5,15,6800,1,2,1A,159 GRAND STREET,M1-5B, , , , , , , , , ,N,H3,5,0, ,"SOLITA SOHO HOTEL, LL",2650,15333,2000,0,0,2000,0,0,0,0,2,1,12,0,1,25.42,80,25.34,48.7, ,3,Y,4,2,985500,3434400,0,0,2002,0,0, , ,5.79,0,5,6.5,1,1002340011,0,45,984521,201490,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,276.0181596,3128.281393,2448900,0,0,7308,7308,14,3150,20.1590004,23.71444511,3.555444717,20.6548575,1.215016175,289.168005 +7309,MN,927,37,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,332 EAST 22 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,332 E22 HOUSING DEVEL,2438,11813,0,11813,0,0,0,0,0,0,2,1,7,14,14,25,97.5,25,90, ,0,N,5,2,769500,1516950,538843,1286293,2008,0,0, , ,4.85,4,0,4,1,1009270037,0,64,989800,207560,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,248.4660507,2415.706578,747450,11,0,7309,7309,11,2475,12.9244442,16.25111198,3.326667786,13.73139381,1.147993033,151.045332 +7310,MN,400,24,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,536 EAST 5 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,536 EAST 5TH ST EQTYI,3847,16344,1200,15144,0,1200,0,0,0,0,2,1,6,22,24,40,96.17,40,84, ,3,N,5,2,154800,1345500,0,0,1929,1983,0, , ,4.25,3,0,3,1,1004000024,0,32,988977,203055,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,272.4334194,3848.660709,1190700,1,0,7310,7310,17,3825,15.8922224,18.14888954,2.256667137,16.35418314,0.84330224,278.0211134 +7311,MN,795,14,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,139-143 WEST 19 STREET,C6-3A, , , , , , , , , ,N,D0,3,0, ,CHELSEA LOFTS CORP,11225,68671,9600,59071,0,9600,0,0,0,0,2,1,7,21,23,120.25,92,120,80,E,3,Y,5,2,1003500,5339250,67480,67480,1909,1980,0, , ,6.12,7.52,6,7.5,1,1007950014,0,87,985303,209370,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,435.5213303,11694.51434,4335750,7,0,7311,7311,53,11925,27.66555595,31.68466568,4.019109726,27.80935046,0.637575992,1473.895575 +7312,MN,469,34,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,219 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,S5,4,0, ,"LEE'S FAMILY REALTY,",2897,8507,2700,5807,0,2700,0,0,0,0,2,1,5,6,7,25.75,112.5,26,102,E,3,N,5,1,185799,644966,0,0,1920,0,0, , ,2.94,4,2,4,1,1004690034,0,40,988249,205997,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,276.6674531,2879.705895,459167,12,0,7312,7312,13,2925,29.06444359,30.93333244,1.868888855,29.39196513,0.621597815,382.0955467 +7313,MN,572,35,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,10 WEST 9 STREET,R6, , , , , , , , , ,N,S4,4,0, ,"DAVID MILLER, AS TRUS",2348,5312,1200,4112,1200,0,0,0,0,0,2,1,4,4,5,25,93.92,25,48,E,3,N,5,5,252735,529311,0,0,1800,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1005720035,0,63,985135,206324,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,247.7587735,2554.305608,276576,8,0,7313,7313,11,2475,18.70499992,25.35333252,6.648332596,21.40984847,2.875128342,235.5083332 +7314,MN,414,4,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,140 ELDRIDGE STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,"LI, YI YUNG",2141,6816,1363,5452,0,1363,0,0,0,0,2,1,5,8,12,24.33,88,25,53, ,3,N,5,1,90000,305550,0,0,1900,0,0, , ,3.18,6.02,6,6.5,1,1004140004,0,18,986679,201251,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,230.8216164,2197.535328,215550,13,0,7314,7314,10,2250,37.8544426,37.8544426,0,37.8544426,0,378.544426 +7315,MN,499,7,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,104 GREENE STREET,M1-5A, , , , , , , , , ,N,O6,5,0, ,110 GREENE FEE OWNER,13750,192471,170072,22399,145322,20550,0,4200,0,0,2,1,13,23,119,87.5,200,87,198, ,3,Y,4,2,3096000,23654700,0,0,1910,2012,0,SoHo-Cast Iron Historic District, ,14,0,5,6.5,1,1004990007,0,49,984414,203183,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,589.129087,14141.08447,20558700,0,0,7315,7315,63,14175,22.35555458,26.26666641,3.911111832,22.53598849,0.765611951,1419.767275 +7316,MN,353,22,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,125 RIVINGTON STREET,C4-4A,R7A, , , , , , , , ,Y,S4,4,0,P,CRP 125 RIVINGTON STR,2533,11141,2000,9141,0,2000,0,0,0,0,2,1,5,4,5,25.33,100,25,100, ,3,N,5,5,252688,368111,0,0,1920,0,0, , ,4.4,4,4,4,1,1003530022,0,18,987790,201416,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,256.3627534,2653.909458,115423,13,0,7316,7316,12,2700,29.00666618,30.17222214,1.165555954,29.10379585,0.322142648,349.2455502 +7317,MN,583,50,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,77 LEROY STREET,R6, , , , , , , , , ,N,A7,1,0, ,JACS PLACE LLC,2167,4759,0,3534,0,0,0,0,0,0,2,1,4,1,1,21.67,100,21.67,52, ,3,N,5,1,62091,233381,0,0,1901,2013,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1005830050,0,67,982645,205362,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,252.852851,2356.109394,171290,9,0,7317,7317,10,2250,15.38333321,18.66888809,3.285554886,16.8376667,1.476204457,168.376667 +7318,MN,204,27,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,167 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,CANBOW REALTY CORP,3158,14775,14775,0,11820,2955,0,0,0,0,2,2,5,0,13,41.83,75.08,42,75,E,3,Y,3,2,435600,2340900,0,0,1900,0,0, , ,4.68,3.44,6,6.5,1,1002040027,0,41,985081,200428,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,238.6531583,3292.841479,1905300,14,0,7318,7318,13,2925,36.00444412,36.00444412,0,36.00444412,0,468.0577736 +7319,MN,726,1,104,97,2001,2,3,10001,E034,10,15,5500,1,4,2B,314 10 AVENUE,M1-5,C6-4, , , , , , , , ,Y,Z3,8,0,X,USPS,158000,800000,800000,0,785000,15000,0,0,0,0,2,1,5,0,1,197.5,800,197.5,800, ,0,N,1,5,8055000,61157250,8055000,61157250,1992,0,0, , ,5.06,0,5,6.5,1,1007260001,0,97,984185,212716,8d,Y,105S017,10302, ,0, ,1, , ,17V1.1,0,2013.119006,161017.2714,53102200,6,0,7319,7319,716,161100,15.5288887,29.03444481,13.50555611,17.06936488,1.113756178,12221.66526 +7320,MN,415,3,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,158 ELDRIDGE STREET,C6-2A, , , , , , , , , ,N,M1,8,0,P,CHINESE ALLIANCE CHUR,10055,37423,37423,0,0,0,0,0,0,37423,2,1,6,0,1,52.92,176.75,50,172, ,0,Y,5,5,776700,4192200,776700,4192200,1996,2004,2006, , ,3.72,6.02,6,6.5,1,1004150003,0,18,986825,201502,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,569.1888944,10382.6133,3415500,13,0,7320,7320,49,11025,37.10666656,40.38444519,3.277778625,38.13221764,1.109486726,1868.478664 +7321,MN,794,1,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,135 7 AVENUE,C6-3A,C6-2A, , , , , , , , ,Y,U2,7,0, ,CONSOLIDATED EDISON C,25545,0,0,0,0,0,0,0,0,0,7,2,0,0,0,184,138.83,0,0, ,0,N,5,5,3068000,97093000,0,0,0,0,0, , ,0,7.52,6,7.5,1,1007940001,0,87,985001,209323,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,654.0054371,22508.16718,3068000,7,0,7321,7321,99,22275,27.66555595,29.92666626,2.261110306,27.89738526,0.473279378,2761.841141 +7322,MN,640,56,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,328 WEST 12 STREET,R6, , , , , , , , , ,N,C4,2,0,P,328 MANAGEMENT INC,1018,5090,1018,4072,0,1018,0,0,0,0,2,1,5,8,10,23,44.25,23,44, ,3,N,3,2,176542,304952,0,0,1900,0,0,Greenwich Village Historic District, ,5,2.43,0,4.8,1,1006400056,0,79,982416,207936,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,140.604393,1132.537218,128410,8,0,7322,7322,3,675,11.96800041,15.19999981,3.231999397,13.04533354,1.523579127,39.13600063 +7323,MN,303,13,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,89 BOWERY,C6-1G, , , , , , , , , ,N,O3,5,0,P,89 BOWERY REALTY LLC,3148,23831,23831,0,23831,0,0,0,0,0,2,1,9,0,1,25.08,126,25,110, ,0,Y,5,5,382500,884867,0,0,2013,2013,0, , ,7.57,3.44,6,6.5,1,1003030013,0,16,985582,200478,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,312.7772693,3417.401329,502367,0,0,7323,7323,14,3150,41.4129982,42.83366776,1.420669556,42.20203999,0.42869551,590.8285599 +7324,MN,461,21,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,226 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEW REALTY LLC,2425,9480,0,9480,0,0,0,0,0,0,2,1,5,19,19,25,97,25,85, ,3,N,5,2,237150,1214100,0,0,1940,0,0,East Village/Lower East Side Historic Di, ,3.91,4,0,4,1,1004610021,0,38,987132,204364,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,251.5011906,2488.73373,976950,1,0,7324,7324,12,2700,36.55199814,39.20999908,2.658000946,36.77349822,0.734632653,441.2819786 +7325,MN,768,5,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,259 WEST 18 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,MORTICIA 18TH STREET,870,3200,420,2780,0,420,0,0,0,0,2,1,4,7,8,20,43.5,20,42, ,3,N,5,2,32024,237183,0,0,1930,1961,0, , ,3.68,4,2,4,1,1007680005,0,87,984184,209686,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,129.2959289,892.9623233,205159,7,0,7325,7325,4,900,21.88888931,21.88888931,0,21.88888931,0,87.55555725 +7326,MN,229,15,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,18 WOOSTER STREET,M1-5B, , , , , , , , , ,N,K1,5,0,P,EIGHTEEN WOOSTER CORP,5000,5200,5200,0,0,5200,0,0,0,0,2,1,1.5,0,1,50,100,50,100, ,3,N,5,0,281250,1320300,0,0,1963,1965,2004,SoHo-Cast Iron Historic District, ,1.04,0,5,6.5,1,1002290015,0,47,983382,202114,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,307.4253923,5146.226734,1039050,0,1,7326,7326,23,5175,9.686666489,9.686666489,0,9.686666489,0,222.7933292 +7327,MN,464,25,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,230 EAST 9 STREET,R8B, , , , , , , , , ,N,K4,4,0, ,"ROYAL ENTERPRISES, IN",3150,12601,12600,0,3150,6300,0,0,0,3150,2,2,4,1,9,42,75,42,75, ,3,N,5,0,425250,874350,0,0,1920,0,0, , ,4,4,0,4,1,1004640025,0,38,987533,205006,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,242.9217804,3325.817361,449100,12,0,7327,7327,15,3375,34.31333542,34.9980011,0.68466568,34.93951213,0.174083123,524.0926819 +7328,MN,619,19,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,232 WEST 10 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"WILFORD, JOHN N JR",943,2684,0,2001,0,0,0,0,0,0,2,1,3,2,2,17.58,59.17,17.58,39, ,2,Y,5,1,42237,127675,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.85,2.43,0,4.8,1,1006190019,0,73,982789,206603,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,151.4309918,979.4182391,85438,9,0,7328,7328,4,900,21.61499977,21.61499977,0,21.61499977,0,86.45999908 +7329,MN,592,27,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,161 WEST 4 STREET,R7-2,R6, , ,C1-5, , , , , ,Y,S5,4,0,P,161 WEST 4 REALTY LLC,1524,4597,1957,2640,0,1957,0,0,0,0,2,1,4,6,7,20,114,20,114, ,3,Y,5,2,146756,364904,0,0,1910,0,0,Greenwich Village Historic District, ,3.02,3.44,0,6.5,1,1005920027,0,71,983921,205996,12a,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,258.0921514,1585.43137,218148,9,0,7329,7329,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +7330,MN,271,44,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,221 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,TLC LIVING CORP.,2612,11430,1200,10230,0,1200,0,0,0,0,2,1,5,20,21,26.08,100.17,26,87, ,3,N,5,2,108000,539550,0,0,1920,1988,0, , ,4.38,3.44,0,6.5,1,1002710044,0,6,987337,199035,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,261.1615132,2811.912035,431550,16,0,7330,7330,13,2925,17.21111107,19.73333359,2.522222519,17.59504274,0.900460336,228.7355556 +7331,MN,797,7503,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,132 WEST 22 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,3909,36933,8139,28794,0,2890,0,0,0,5249,2,1,12,10,12,39.58,98.75,0,0, ,0,N,0,5,303751,3804543,49622,584710,1913,0,0, , ,9.45,7.52,6,7.5,1,1007977503,1172,87,985698,209832,8d, ,102 041,10305, ,1007970061,2/22/2001,1, , ,17V1.1,7,276.726079,3899.10716,3500790,7,0,7331,7331,17,3825,28.16444397,30.80222321,2.637779236,28.34597352,0.623018395,481.8815498 +7332,MN,804,38,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,823 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,823 6TH AVE. REALTYIN,1295,3977,3040,937,0,2103,0,937,0,0,2,1,4,1,4,20.08,64.5,20,58,E,3,N,5,2,288000,787950,0,0,1920,0,0, , ,3.07,10,10,10,1,1008040038,0,95,986873,211240,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,169.781335,1265.472474,499950,2,0,7332,7332,6,1350,40.67900085,40.67900085,0,40.67900085,0,244.0740051 +7333,MN,923,38,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,311 1 AVENUE,C1-8A, , , , , , , , , ,N,I4,8,0, ,305 FIRST AVENUE NY O,1840,7015,1700,5315,1700,0,0,0,0,0,2,1,4,9,11,23,80,23,75,E,2,N,3,2,190800,714600,143101,535953,1950,1958,0, , ,3.81,7.52,2,7.5,1,1009230038,0,48,989487,206646,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,215.2634548,2082.00471,523800,5,0,7333,7333,10,2250,14.83555603,15.61555576,0.779999733,14.94000044,0.23858836,149.4000044 +7334,MN,454,23,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,326 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,324-6 E 13 LLC,2719,10310,0,10310,0,0,0,0,0,0,2,1,5,22,22,26.33,103.25,26,81, ,3,N,5,2,308700,1057050,0,0,1900,0,0, , ,3.79,4,0,4,1,1004540023,0,40,988584,205582,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,266.0835009,2815.35186,748350,12,0,7334,7334,13,2925,22.37666702,22.37666702,0,22.37666702,0,290.8966713 +7335,MN,465,27,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,25 STUYVESANT STREET,R8B, , , , , , , , , ,N,A9,1,0, ,"MUNK, NINA",928,2800,0,2800,0,0,0,0,0,0,2,1,5,1,1,16,59,16,35, ,3,Y,5,2,38528,98745,0,0,1899,2012,0,St. Mark's Historic District, ,3.02,4,0,4,1,1004650027,0,40,987462,205273,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,148.818146,907.4146423,60217,12,0,7335,7335,5,1125,33.48777771,33.48777771,0,33.48777771,0,167.4388886 +7336,MN,914,57,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,206 EAST 34 STREET,C1-9A,C1-9, , , , , , , , ,Y,C7,4,0, ,206 E. 34,4506,19074,2800,16274,0,2800,0,0,0,0,2,2,5,33,37,50,89.92,25,74, ,0,N,5,2,296100,3767400,0,0,1920,2004,0, , ,4.23,10,2,10,1,1009140057,0,70,990402,210810,8d, ,104 021,10308, ,1009140057,3/14/2007,1, , ,17V1.1,0,280.7716694,4519.919632,3471300,10,0,7336,7336,21,4725,17.92555618,25.93777847,8.01222229,19.28648731,2.308716532,405.0162334 +7337,MN,803,58,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,132 WEST 28 STREET,M1-6, , , , , , , , , ,N,C4,2,0, ,28TH STEET PROPERTIES,4938,14620,6825,7795,2300,2075,0,0,0,0,2,2,5,12,15,25,98.75,25,83, ,3,N,5,5,666450,929700,0,0,1901,0,0, , ,2.96,0,10,10,1,1008030058,0,95,986446,211228,8d, ,105S012,10305, ,1008030058,8/13/2012,1, , ,17V1.1,0,296.2316996,4850.967731,263250,2,0,7337,7337,23,5175,36.93999863,37.92666626,0.986667633,36.98289722,0.201212235,850.606636 +7338,MN,551,1,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,2 5 AVENUE,R10,R6, , , , , , , , ,Y,D4,3,0, ,SQUARE ARCH REALTY CO,43595,469263,46363,422900,21363,0,25000,0,0,0,2,1,20,343,350,290,172.33,278.17,171.83, ,3,Y,3,2,3847500,50997150,592349,592349,1952,0,0,Greenwich Village Historic District, ,10.76,10,0,10,1,1005510001,0,63,985061,205903,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,1019.402169,45339.88201,47149600,9,0,7338,7338,202,45450,21.12199974,28.29999924,7.177999496,25.23021386,1.092596853,5096.503201 +7339,MN,470,64,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,124 BOWERY,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,HONG WAH REALTY CORP,4987,29940,29940,0,17940,12000,0,0,0,0,2,1,5,0,37,49.83,100,49.83,100.33, ,0,Y,3,5,675000,2757600,0,0,1901,1993,1995, ,BOWERY BANK OF NEW YORK BUILDING,6,3.44,6,6.5,1,1004700064,0,41,985621,201128,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,309.1449716,5238.822583,2082600,0,0,7339,7339,23,5175,31.67711258,31.67711258,0,31.67711258,0,728.5735893 +7340,MN,527,90,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,25 DOWNING STREET,R6, , , , , , , , , ,N,C7,4,0, ,25 DOWNING LLC C/O A,1750,7240,750,6490,750,0,0,0,0,0,2,1,5,15,16,25,70,25,60, ,3,N,5,1,69300,874800,0,0,1900,1985,0,Greenwich Village Historic District Exte, ,4.14,2.43,0,4.8,1,1005270090,0,67,983336,205096,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,197.9059671,1901.221684,805500,9,0,7340,7340,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +7341,MN,379,21,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,424 EAST 10 STREET,R8B, , , , , , , , , ,N,D6,4,0, ,698 TITAN PROPERTIES,3721,16215,675,15540,675,0,0,0,0,0,2,1,7,23,24,40.33,92.25,38,68, ,3,N,5,2,108900,1980000,0,754380,1950,2008,0, , ,4.36,4,0,4,1,1003790021,0,28,990776,203477,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,268.902677,3783.491858,1871100,12,1,7341,7341,17,3825,7.409999847,7.409999847,0,7.409999847,0,125.9699974 +7342,MN,806,9,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,145 WEST 30 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,CHALINE WEST 30TH STR,7406,87526,87526,0,57600,8326,0,0,0,21600,2,2,12,0,14,75,98.75,75,92, ,0,N,5,5,1467000,8757450,0,0,1913,1989,2001, , ,11.82,0,10,10,1,1008060009,0,101,986585,211920,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,357.1249239,7818.927523,7290450,6,0,7342,7342,35,7875,35.0344429,35.0344429,0,35.0344429,0,1226.205502 +7343,MN,415,63,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,81 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,81-83 RIVINGTON CORP,2508,11415,2283,9132,0,2283,0,0,0,0,2,1,5,16,19,25,50,50,49, ,3,N,5,2,435150,1805400,0,0,1900,1998,0, , ,4.55,4,4,4,1,1004150063,0,18,987205,201677,12c, ,101N078,10204, ,1004150064,3/9/2000,1, , ,17V1.1,0,212.217553,2813.244489,1370250,13,0,7343,7343,12,2700,35.49499893,36.24666595,0.751667023,35.60685094,0.252261527,427.2822113 +7344,MN,862,11,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,11 EAST 32 STREET,C5-2, , , , , , , , , ,N,D4,3,0, ,11-13 E 32 ST HSG COR,4937,45920,4600,41320,0,4600,0,0,0,0,2,1,12,80,83,50,98.75,50,81, ,3,N,5,1,1039500,6226650,0,0,1910,1974,0, , ,9.3,10,10,10,1,1008620011,0,74,988546,211420,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,303.8603124,5096.49324,5187150,10,0,7344,7344,23,5175,39.86111069,42.54222107,2.681110382,39.9776807,0.546761843,919.4866562 +7345,MN,580,19,102,37,3002,2,3,10014,E024,1,15,6800,1,2,1B,163 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O5,5,0, ,"LOREL 163 VARICK, LLC",7500,51000,51000,0,30000,15000,0,0,6000,0,2,1,6,0,8,100,75,75,100, ,2,N,3,2,434250,3006000,0,0,1925,1987,0, , ,6.8,0,10,10,1,1005800019,0,37,982617,204129,12a, ,101N066,10208,E-288,0, ,1, , ,17V1.1,0,366.1239046,8185.302558,2571750,0,0,7345,7345,35,7875,17.09600067,19.0233326,1.927331924,17.27731481,0.510662847,604.7060184 +7346,MN,612,55,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,4 PERRY STREET,C2-6,C1-6, , , , , , , , ,Y,C2,2,0, ,"ST. JOHN, PAMELA",2090,3454,0,3454,0,0,0,0,0,0,2,1,3,5,5,22,95,22,57,E,3,Y,5,5,283000,432671,0,0,1915,1985,0,Greenwich Village Historic District, ,1.65,3.44,2,6.5,1,1006120055,0,71,983961,207304,12c,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,237.9786103,2285.871768,149671,8,0,7346,7346,11,2475,21.78555489,23.78333473,1.997779846,22.39365647,0.629955569,246.3302212 +7347,MN,887,13,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,117 EAST 31 STREET,C4-5A, , , , , , , , , ,N,K4,4,0,P,31117 LLC,2839,11650,10000,1650,600,800,0,0,0,8600,2,1,4,1,2,21.08,98.75,21.08,98.75, ,3,Y,5,2,517500,1439100,0,0,1915,0,0, , ,4.1,4,4,4,1,1008870013,0,72,989336,210727,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,291.7862619,2844.780913,921600,10,0,7347,7347,12,2700,29.31800079,29.31800079,0,29.31800079,0,351.8160095 +7348,MN,263,8,103,2.02,5003,1,2,10002,E015,7,14,8000,1,3,2B,453 F D R DRIVE,R7-2, , , , , , , , , ,N,D4,3,0,P,EAST RIVER HOUSING CO,212250,923000,0,923000,0,0,0,0,0,0,2,2,20,833,837,275.4,495.35,311,127, ,0,Y,3,5,7155000,55768950,3253960,3253960,1955,0,0, , ,4.35,3.44,0,6.5,1,1002630008,0,202,990076,199024,12d, ,101N061,10106, ,0, ,1,1,1,17V1.1,0,2065.919243,209706.5708,48614000,13,1,7348,7348,931,209475,8.968888283,23.98333359,15.0144453,16.19244378,3.462521035,15075.16516 +7349,MN,824,28,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,40 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O3,5,0,P,23RD STREET LLC,55960,439330,439330,0,360250,79080,0,0,0,0,2,4,12,0,23,334,197.5,334,197.5, ,0,Y,5,5,28350000,88863300,0,0,1911,1982,2012,Ladies' Mile Historic District, ,7.85,10,10,10,1,1008240028,0,58,986673,209516,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,1079.055972,57254.83931,60513300,2,0,7349,7349,254,57150,34.46500015,38.42555618,3.96055603,34.60052731,0.647049134,8788.533936 +7350,MN,404,50,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,311 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,TURF II APARTMENT COR,2370,7950,0,7950,0,0,0,0,0,0,2,1,4,10,10,25,94.75,25,74, ,3,N,5,1,29000,128753,4720,4720,1900,1987,0,East 10th Street Historic District, ,3.35,4,0,4,1,1004040050,0,34,989452,204385,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,246.3020527,2493.68285,99753,12,0,7350,7350,12,2700,12.53199959,16.35222244,3.820222855,13.18435168,1.17016613,158.2122202 +7351,MN,817,85,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,568 AVENUE OF THE AMER,C6-2A,C6-2M, , , , , , , , ,Y,D4,3,0,P,54 W 16 ST APT CORP,11875,129970,7625,122345,0,3000,4625,0,0,0,2,1,15,119,121,51.58,165,52,151, ,3,Y,3,2,2214000,14499000,273474,273474,1955,1988,0, , ,10.94,6.02,6,6.5,1,1008170085,0,54,985526,208243,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,549.4030484,12415.33305,12285000,7,0,7351,7351,55,12375,30.80200005,32.3144455,1.51244545,30.92980208,0.388541838,1701.139114 +7352,MN,558,26,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,138 EAST 13 STREET,C6-2A, , , , , , , , , ,N,B3,1,0, ,JOANNA D UNDERWOOD,1020,3240,0,2520,0,0,0,0,0,0,2,1,4,2,2,20,51,20,30, ,2,N,5,1,83742,117525,5690,5690,1899,0,0, , ,3.18,6.02,6,6.5,1,1005580026,0,42,987514,206205,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,151.4793322,1161.185065,33783,12,0,7352,7352,5,1125,38.19900131,39.42655563,1.227554321,38.54131165,0.480678941,192.7065582 +7353,MN,732,16,104,111,2004,2,3,10001,L021,10,15,5500,1,4,2B,433 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,D4,3,0, ,433 W 34TH ST OWNERS,11520,142971,3500,139471,0,3500,0,0,0,0,2,1,20,210,212,116.67,98.75,111,78, ,1,N,5,2,490500,10485450,126078,126078,1930,0,0, , ,12.41,10,10,10,1,1007320016,0,111,984875,214086,8d, ,105S029,10302, ,0, ,1, , ,17V1.1,0,448.846768,12555.55623,9994950,6,0,7353,7353,56,12600,36.17555618,48.1866684,12.01111221,43.53297663,1.677118509,2437.846691 +7354,MN,465,59,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,229 EAST 9 STREET,R8B, , , , , , , , , ,N,K4,4,0, ,229 EAST 9TH ST.,1450,2836,2836,0,1418,1418,0,0,0,0,2,1,2,0,2,25,61.67,25,59, ,3,Y,5,2,261000,948600,0,0,1900,1997,0, , ,1.96,4,0,4,1,1004650059,0,40,987607,205106,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,168.6893271,1468.644051,687600,12,0,7354,7354,6,1350,31.03333282,31.03333282,0,31.03333282,0,186.1999969 +7355,MN,304,1,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,95 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,WINGO REALTY CORP,2573,10810,5410,5400,2400,3010,0,0,0,0,2,2,3,32,46,25.17,102.33,25,48, ,3,Y,3,5,433800,1524150,0,0,1910,0,0, , ,4.2,3.44,6,6.5,1,1003040001,0,16,985619,200596,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,272.9587623,2989.600898,1090350,0,0,7355,7355,13,2925,35.79199982,40.67889023,4.886890411,36.29324781,1.33791403,471.8122215 +7356,MN,882,75,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,122 EAST 27 STREET,C4-5A, , , , , , , , , ,N,C7,4,0, ,"FUNDAMENTAL REALTY,",2469,6376,1876,4500,0,1876,0,0,0,0,2,1,4,8,9,25,98.75,25,67,E,3,N,5,1,231143,796308,0,0,1920,2011,0, , ,2.58,4,4,4,1,1008820075,0,68,988771,209646,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,251.6197127,2467.45004,565165,11,0,7356,7356,11,2475,33.85400009,34.8848877,1.030887604,33.94771715,0.296359349,373.4248886 +7357,MN,821,7501,105,54,1002,2,3,10011,E014,13,15,5700,1,5, ,40 WEST 20 STREET,C6-4A, , , , , , , , , ,N,RB,5,0,O,40 W 20 ST CONDMINIUM,9905,105821,105821,0,100971,0,0,0,0,4850,2,1,12,0,3,107.67,92,108,0, ,3,N,5,2,2240551,10827451,2240551,10827451,1920,0,0,Ladies' Mile Historic District, ,10.68,10,10,10,1,1008217501,584,54,986089,209046,8d, ,102 041,10306, ,1008210066,12/8/1988,1, , ,17V1.1,7,414.214433,10696.90084,8586900,7,0,7357,7357,47,10575,32.91555405,35.91777802,3.002223969,33.15221145,0.739119496,1558.153938 +7358,MN,632,30,102,75,1000,2,3,10014,L005,6,15,6400,1,2,2K,131 CHARLES STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,JUDITH STONEHILL AS T,1525,2362,0,2362,0,0,0,0,0,0,2,2,3,3,3,25,97.25,25,36, ,3,Y,5,2,55865,148759,0,0,1899,0,0,Greenwich Village Historic District Exte,131 CHARLES STREET HOUSE,1.55,4,2,4,1,1006320030,0,75,982127,206847,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,246.667214,2443.623263,92894,9,0,7358,7358,13,2925,15.84700012,15.84700012,0,15.84700012,0,206.0110016 +7359,MN,615,59,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,329 WEST 4 STREET,R6,C1-6, , , , , , , , ,Y,A4,1,0, ,329 WEST 4 STREET COR,1210,2742,0,2316,0,0,0,0,0,0,2,1,3,1,1,22,55,22,35, ,3,Y,5,1,56557,266690,0,0,1910,2001,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1006150059,0,77,983228,208141,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,153.4712482,1204.156487,210133,8,0,7359,7359,3,675,21.74111176,21.74111176,0,21.74111176,0,65.22333527 +7360,MN,461,14,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,212 EAST 6 STREET,R8B, , , , , , , , , ,N,E1,6,0, ,SANGAM HOLDINGS LLC,4850,8356,8356,0,1000,0,0,7356,0,0,2,1,2,0,1,50,97,50,97, ,3,Y,5,2,251550,528750,0,0,1920,0,0, , ,1.72,4,0,4,1,1004610014,0,38,986990,204443,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,303.658518,5126.45985,277200,1,0,7360,7360,23,5175,36.55199814,36.55199814,0,36.55199814,0,840.6959572 +7361,MN,78,7503,101,15.02,1002,2,1,10038,E006,1,15,7700,1,1, ,80 NASSAU STREET,C5-5,C6-4, , , , ,LM, , , ,Y,RM,4,0, ,NASSAU STREET EQUITIE,8780,39267,13772,25495,0,13772,0,0,0,0,2,1,4,10,12,85.83,102.58,85,100, ,0,N,0,5,1374750,3727350,0,0,1900,0,0, , ,4.47,10,15,15,1,1000787503,1023,1502,982067,197871,12b, ,11S 011,10102, ,1000780038,12/2/1998,1, , ,17V1.1,7,374.770482,8694.269039,2352600,4,0,7361,7361,40,9000,34.06200027,34.06200027,0,34.06200027,0,1362.480011 +7362,MN,912,7501,106,70,2000,2,2,10016,L007,17,14,5800,2,6, ,208 EAST 32 STREET,R7B, , , , , , , , , ,N,R1,2,0, ,208 E 32 STREET CONDO,1646,2484,0,2484,0,0,0,0,0,0,2,1,3,8,8,0.03,0,0,0, ,0,N,5,5,21925,275955,0,0,1920,0,0, , ,1.51,3,0,3,1,1009127501,635,70,990184,210336,8d, ,104 021,10308, ,1009120060,7/22/1989,1, , ,17V1.1,7,235.369825,1676.728212,254030,10,0,7362,7362,8,1800,26.45000076,26.45000076,0,26.45000076,0,211.6000061 +7363,MN,697,27,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,507 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,E9,6,1,P,WEST CHELSEA BUILDING,9875,6350,6350,0,0,0,0,6350,0,0,2,1,1,0,1,50,197.5,50,127, ,0,N,5,5,281250,478350,0,0,1942,0,0,West Chelsea Historic District, ,0.64,0,5,6.5,1,1006970027,0,99,983263,212345,8b, ,105S004,10301,E-142,0, ,1, ,1,17V1.1,0,503.3830391,9870.27064,197100,2,1,7363,7363,42,9450,8.930000305,13.02999973,4.099999428,10.59039693,1.269221053,444.7966709 +7364,MN,194,7506,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,50 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2334,11601,2587,9014,0,2587,0,0,0,0,2,1,7,5,6,25,93.45,25,84, ,2,N,0,5,75168,1333570,0,0,1895,0,0, , ,4.97,6.02,6,6.5,1,1001947506,2370,33,983348,201414,12a, ,11N 046,10105, ,1001940126,2/5/2013,1, , ,17V1.1,7,245.0237483,2443.28839,1258400,0,0,7364,7364,11,2475,12.8255558,12.8255558,0,12.8255558,0,141.0811138 +7365,MN,149,2,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,77 CHAMBERS STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,JEFLIE CO,1877,8850,8850,0,7100,1750,0,0,0,0,2,1,5,0,5,25,75,25,75, ,3,N,5,2,130500,1017000,0,0,1900,0,0,Tribeca South Historic District, ,4.71,10,10,10,1,1001490002,0,21,982390,199620,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,216.0235485,2127.427564,886500,14,0,7365,7365,10,2250,29.82299995,29.82299995,0,29.82299995,0,298.2299995 +7366,MN,375,62,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,715 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,HJO HOLDINGS LLC,2426,9345,0,9345,0,0,0,0,0,0,2,1,5,20,20,25,97,24,84, ,2,N,5,2,225000,817650,0,0,1900,1985,0, , ,3.85,4,0,4,1,1003750062,0,2601,990112,202600,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,249.1284837,2544.453801,592650,1,1,7366,7366,12,2700,9.704999924,12.33777809,2.632778168,10.46351854,0.916556854,125.5622225 +7367,MN,162,42,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,5 CHATHAM SQUARE,C6-1G,C6-1, , , , ,TA, , , ,Y,K4,4,0, ,MOTT OPERATING CORP.,4161,10550,8219,2331,0,8219,0,0,0,0,2,1,4,0,2,25.33,135.83,25,135, ,0,Y,5,5,472500,1037250,0,0,1913,0,0, , ,2.54,3.44,6,6.5,1,1001620042,0,29,984677,199426,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,425.9129619,4597.576632,564750,16,0,7367,7367,20,4500,30.90500069,31.8516674,0.946666718,30.95233402,0.206321228,619.0466805 +7368,MN,206,12,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1A,190 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,190 HESTER REALTY COR,2499,11300,1800,9500,0,1800,0,0,0,0,2,1,6,20,22,25,100,25,89, ,2,N,5,2,153000,615600,0,0,1910,0,0, , ,4.52,6.02,6,6.5,1,1002060012,0,41,984666,200912,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.3054366,2675.054788,462600,0,0,7368,7368,11,2475,25.04111099,25.95999908,0.918888092,25.8098982,0.3208895,283.9088802 +7369,MN,404,44,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,323 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,BONSALL LLC,2369,9330,0,9330,0,0,0,0,0,0,2,1,5,12,12,25,94.75,25,76, ,3,N,5,2,135000,735300,0,0,1900,1987,0,East 10th Street Historic District, ,3.94,4,0,4,1,1004040044,0,34,989582,204312,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,244.9776961,2429.185231,600300,12,0,7369,7369,11,2475,12.53199959,12.53199959,0,12.53199959,0,137.8519955 +7370,MN,921,8,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,311 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,C5,2,0, ,PARKDALE REALTY CO,2400,5356,270,5086,0,270,0,0,0,0,2,1,4,12,13,23.25,103.25,23,56,E,3,N,5,1,90450,624150,0,0,1910,0,0, , ,2.23,4,2,4,1,1009210008,0,48,988629,206091,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,261.5049674,2537.633903,533700,12,0,7370,7370,10,2250,22.90500069,25.52444458,2.619443893,24.03777809,1.203659344,240.3777809 +7371,MN,544,67,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,37 EAST 4 STREET,M1-5B, , , , , , , , , ,N,D1,3,0, ,10-12 COOPER SQUARE I,2132,9620,0,9620,0,0,0,0,0,0,2,1,4,10,10,25.75,82.08,26,74, ,0,Y,5,5,93781,485904,0,0,1900,2006,2009, ,37 EAST 4TH STREET HOUSE,4.51,0,5,6.5,1,1005440067,0,57,986462,204338,12c, ,103 024,10207,R-121,0, ,1, , ,17V1.1,0,224.7111376,2370.503512,392123,9,0,7371,7371,11,2475,41.5933342,43.51666641,1.923332214,41.82010165,0.560820415,460.0211182 +7372,MN,885,49,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,430 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,ESTATE OF ELIZABETH P,2375,7375,2275,5100,0,1475,0,0,0,800,2,1,5,8,9,25,95,25,95, ,0,N,3,2,205794,729623,0,0,1910,0,0, , ,3.11,10,2,10,1,1008850049,0,72,989699,210057,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,252.0604129,2673.816475,523829,10,0,7372,7372,12,2700,30.56200027,33.69777679,3.13577652,31.32244492,1.318670031,375.869339 +7373,MN,179,17,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,84 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,HUDSON STREET OWNERS,8956,51748,7400,44348,0,7400,0,0,0,0,2,1,7,36,38,115.58,115.25,115.58,85, ,2,Y,3,2,805500,5472900,41714,41714,1915,1982,0,Tribeca West Historic District, ,5.78,6.02,6,6.5,1,1001790017,0,33,981895,201117,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,395.1494346,9401.803357,4667400,14,1,7373,7373,41,9225,10.17444515,17.34222221,7.167777061,10.71451285,1.689159212,439.2950268 +7374,MN,584,38,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,31 MORTON STREET,R6, , , , , , , , , ,N,B3,1,0, ,MORTON STREET PROPERT,600,1600,0,1200,0,0,0,0,0,0,2,1,3,2,2,30,20,20,20, ,2,N,5,1,25911,86260,0,0,1901,2001,0,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1005840038,0,67,982877,205595,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,105.300479,671.417157,60349,9,0,7374,7374,3,675,16.16111183,16.16111183,0,16.16111183,0,48.4833355 +7375,MN,572,37,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,6 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0, ,MORGAN BUILDERS INC,2090,5324,0,5324,0,0,0,0,0,0,2,1,3,1,1,22.25,93.92,22,92, ,3,N,5,2,95942,351049,0,0,1920,1980,2009,Greenwich Village Historic District, ,2.55,2.43,0,4.8,1,1005720037,0,63,985184,206297,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,240.0941438,2179.74631,255107,8,0,7375,7375,9,2025,18.70499992,24.78999901,6.084999084,20.28870349,2.03415684,182.5983315 +7376,MN,910,57,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,208 EAST 30 STREET,R7B, , , , , , , , , ,N,P8,8,0,P,POLISH INSTITUTE ETAL,1852,3536,3536,0,0,0,0,0,0,0,2,1,3,2,2,18.75,98.75,18.75,60, ,3,N,5,0,141300,280350,141300,280350,1901,0,0, , ,1.91,3,0,3,1,1009100057,0,70,989929,209887,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,239.0831864,1957.849777,139050,10,0,7376,7376,10,2250,34.37666702,37,2.623332977,34.8479557,0.836164474,348.479557 +7377,MN,629,27,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,316 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C5,2,0, ,AGENCIA HISPANA DE PA,2516,7425,2475,4950,0,2475,0,0,0,0,2,1,4,20,22,25,103.25,25,66, ,3,N,5,2,232200,1773000,0,0,1910,0,0, , ,2.95,6.02,6,6.5,1,1006290027,0,77,983250,208841,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,261.2905864,2709.908861,1540800,8,0,7377,7377,13,2925,16.45777702,20.5466671,4.088890076,17.35974312,1.602752046,225.6766605 +7378,MN,630,52,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,137 CHRISTOPHER STREET,R6, , , , , , , , , ,N,U7,7,0, ,PORT AUTHORITY TRANS-,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,21,64,0,0, ,0,Y,5,5,0,0,0,0,0,0,0,Greenwich Village Historic District, ,0,2.43,0,4.8,1,1006300052,0,75,982262,206390,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,313.3167684,4171.090739,0,9,0,7378,7378,17,3825,18.16222191,19.41222191,1.25,18.30869248,0.401129855,311.2477722 +7379,MN,423,19,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,323 BROOME STREET,C6-3A, , , , , , , , , ,N,C4,2,0,P,BENJAMIN REALTY DEVEL,1915,7850,1900,5950,0,1075,0,0,0,0,2,2,5,8,11,25,76.58,25,43, ,3,Y,3,2,292950,912600,0,0,1910,0,0, , ,4.1,7.52,6,7.5,1,1004230019,0,18,986015,201217,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,213.8221434,2174.437531,619650,13,0,7379,7379,10,2250,34.16999817,38.34222031,4.172222137,34.58722038,1.251666641,345.8722038 +7380,MN,107,33,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,248 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,C2,2,0, ,248 FRONT LLC,1309,5635,0,5635,0,0,0,0,0,0,2,1,5,5,5,19.25,63.5,19,60, ,2,Y,5,5,346471,412776,0,0,1900,0,0,South Street Seaport Historic District, ,4.3,6.02,6,6.5,1,1001070033,0,1501,983964,197314,12d,Y,101S023,10103, ,0, ,1,1,1,17V1.1,0,176.2249604,1357.359029,66305,4,1,7380,7380,7,1575,6.215000153,6.215000153,0,6.215000153,0,43.50500107 +7381,MN,476,71,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,362 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0, ,362 WEST BROADWAY COO,2990,16914,3000,13914,0,3000,0,0,0,0,2,1,6,6,7,45.25,68.17,46,66, ,3,Y,5,2,245726,1067059,0,0,1900,1972,0,SoHo-Cast Iron Historic District Extensi, ,5.66,0,5,6.5,1,1004760071,0,47,983304,202740,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,230.666248,3052.466245,821333,0,1,7381,7381,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +7382,MN,575,38,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,30 WEST 12 STREET,R6, , , , , , , , , ,N,S5,4,0, ,"RAGUSA, CO-TRUSTEE, O",2581,9080,1800,7280,0,1800,0,0,0,0,2,1,5,6,7,25,103.25,25,99,E,3,N,5,2,150406,521293,0,0,1900,0,0,Greenwich Village Historic District, ,3.52,2.43,0,4.8,1,1005750038,0,63,985370,207056,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,262.9735735,2662.107016,370887,8,0,7382,7382,13,2925,24.42399979,29.9477787,5.523778915,25.22782898,1.888788328,327.9617767 +7383,MN,529,57,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,33 BLEECKER STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,33 BLECKER STREET COR,5438,25132,9160,15972,0,9160,0,0,0,0,2,1,6,10,13,75,74,75,74, ,2,Y,5,2,308700,3043350,7080,7080,1900,1981,0,Noho East Historic District, ,4.62,0,5,6.5,1,1005290057,0,5502,985980,203714,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,301.718159,5686.864292,2734650,9,0,7383,7383,25,5625,41.23199844,42.28777695,1.055778503,41.29134964,0.219980848,1032.283741 +7384,MN,474,1,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,42 GREENE STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,THOMAS STREET LLC,11067,47621,47621,0,36571,11050,0,0,0,0,2,2,5,0,11,110.75,100,111,95,E,3,N,5,2,1696500,12541500,0,0,1900,2012,2015,SoHo-Cast Iron Historic District, ,4.3,0,5,6.5,1,1004740001,0,47,983798,202296,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,426.1557133,11335.87501,10845000,0,0,7384,7384,51,11475,14.17000008,17.11777878,2.947778702,14.36958612,0.691144024,732.8488922 +7385,MN,402,27,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,166 EAST 7 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,HERRICK PETER,1817,6150,0,6150,0,0,0,0,0,0,2,1,5,9,9,20,90.83,20,60, ,3,N,5,2,22932,101649,0,0,1900,0,0, , ,3.38,3,0,3,1,1004020027,0,32,989233,203480,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,228.486174,1996.562529,78717,12,0,7385,7385,10,2250,12.85000038,12.85000038,0,12.85000038,0,128.5000038 +7386,MN,88,18,101,21,1011,2,1,10007,L010,1,15,7700,1,1,1A,225 BROADWAY,C5-3, , , , , ,LM, , , ,N,O4,5,0,P,225 BROADWAY COMPANY,16409,480831,480831,0,465331,15500,0,0,0,0,2,1,44,0,146,100.67,165,101,165, ,3,Y,3,2,7695000,34290450,0,0,1927,0,0, , ,29.3,10,15,15,1,1000880018,0,21,981851,198674,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,540.2555603,17256.78692,26595500,3,0,7386,7386,76,17100,31.56599998,35.37111282,3.805112839,31.73763744,0.635882881,2412.060446 +7387,MN,436,40,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,113 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,113 ST. MARKS REALTY,2348,6615,1100,5515,0,1100,0,0,0,0,2,1,5,10,12,25,93.92,25,52, ,3,N,5,2,193500,1343250,0,0,1900,1987,0, , ,2.82,4,0,4,1,1004360040,0,32,988761,204199,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.5318407,2342.243614,1149750,12,0,7387,7387,9,2025,17.84799957,18.83333397,0.985334396,17.95748117,0.309660726,161.6173306 +7388,MN,889,27,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,149 EAST 33 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,149 EAST 33RD STREET,1178,2860,0,2860,0,0,0,0,0,0,2,1,4,7,7,19,62.67,19,36, ,2,Y,5,2,76189,294817,0,0,1910,0,0, , ,2.43,4,0,4,1,1008890027,0,72,989915,210936,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,167.8359658,1258.606364,218628,10,0,7388,7388,5,1125,24.63888931,31.66399956,7.025110245,27.61457787,2.77434195,138.0728893 +7389,MN,280,52,103,8,1001,2,1,10038,E009,5,14,7800,1,3,1A,17 CATHERINE STREET,R7-2,C6-1G, , ,C1-5, , , , , ,Y,C7,4,0, ,WING FUNG REALTY INC,5930,25701,5530,20170,0,5530,0,0,0,0,2,1,6,32,35,54.33,110.33,54,98, ,3,Y,5,2,274950,1412100,0,0,1900,0,0, , ,4.33,3.44,0,6.5,1,1002800052,0,8,985099,199079,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,327.7923592,5958.628981,1137150,16,0,7389,7389,25,5625,27.8318882,29.04899979,1.217111588,28.8735286,0.410619423,721.8382149 +7390,MN,194,7505,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,405 BROADWAY,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2580,15632,7414,8218,0,0,0,7414,0,0,2,1,5,3,5,25,103.2,25,98, ,0,N,5,5,73362,556685,0,0,1915,0,0,Tribeca East Historic District, ,6.06,6.02,6,6.5,1,1001947505,1679,33,983522,201214,12a, ,101N046,10105, ,1001940040,5/1/2007,1, , ,17V1.1,7,271.0155503,2746.871697,483323,14,0,7390,7390,12,2700,12.8255558,16.49222183,3.666666031,13.1311113,1.013412955,157.5733356 +7391,MN,640,66,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,24 BETHUNE STREET,R6, , , , , , , , , ,N,C0,2,0, ,"24 BETHUNE STREET, LL",1280,3136,0,3136,0,0,0,0,0,0,2,3,4,3,3,15.92,80.42,16,49,E,3,N,5,0,19856,70502,0,0,1905,0,0,Greenwich Village Historic District, ,2.45,2.43,0,4.8,1,1006400066,0,79,982270,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,195.2693758,1290.705332,50646,8,0,7391,7391,5,1125,11.96800041,12.63500023,0.666999817,12.10140038,0.266799927,60.50700188 +7392,MN,641,7504,102,79,2000,2,3,10014,L005,6,15,6100,3,2, ,397 WEST 12 STREET,C1-6A,C1-7A, , , , , , , , ,Y,R1,2,0, , ,5929,25180,0,25180,0,0,0,0,0,0,2,1,9,5,5,66,89.83,66,59.79, ,1,N,5,5,1593422,5372381,0,2067770,2007,0,0, , ,4.25,4,2,4,1,1006417504,2138,79,981702,208062,12a,Y,103 014,10210, ,1006410031,1/21/2010,1, ,1,17V1.1,7,308.8518641,5742.025071,3778960,8,1,7392,7392,28,6300,7.369999886,8.266666412,0.896666527,7.576015779,0.307897486,212.1284418 +7393,MN,230,13,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,10 GREENE STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,10 GREENE OWNER LLC,2800,12600,12600,0,0,2520,0,0,10080,0,2,1,5,0,5,28.17,100.42,28,90,E,3,Y,5,2,118350,461193,0,0,1930,0,0,SoHo-Cast Iron Historic District, ,4.5,0,5,6.5,1,1002300013,0,47,983505,201843,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,261.4078173,2875.706435,342843,0,1,7393,7393,12,2700,11.39777756,11.39777756,0,11.39777756,0,136.7733307 +7394,MN,528,84,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,53 DOWNING STREET,R6, , , , , , , , , ,N,C2,2,0,P,DOWNING ST LLC,1435,6000,0,6000,0,0,0,0,0,0,2,2,5,6,6,28.92,60.58,20.25,55, ,3,Y,5,5,402120,905199,0,0,1900,2008,2016,Greenwich Village Historic District Exte, ,4.18,2.43,0,4.8,1,1005280084,0,67,983031,204980,12a, ,103 003,10206, ,1005280086,1/2/2001,1, , ,17V1.1,0,226.6715468,1885.9811,503079,9,0,7394,7394,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +7395,MN,885,42,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,155 EAST 29 STREET,C2-8,R8B, , , , , , , , ,Y,D6,4,0,P,H & P 29TH ST ASSOC,16540,273538,30045,243493,0,5355,24690,0,0,0,2,1,35,279,284,148.08,120,20,24, ,0,Y,5,2,10125000,34892100,0,0,1981,0,0, , ,16.54,10,2,10,1,1008850042,0,72,989634,209959,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,547.6596964,17366.92604,24767100,11,0,7395,7395,76,17100,30.56200027,39.81555557,9.253555298,32.61850312,2.960204173,2479.006237 +7396,MN,475,7501,102,47,2009,2,1,10013,L008,1,15,6800,1,2, ,347 WEST BROADWAY,M1-5A, , , , , , , , , ,N,RK,5,0,P,347 W BROADWAY CONDO,2500,15987,15987,0,0,4737,0,0,0,11250,2,1,7,0,3,25,100,25,90, ,0,N,5,5,427500,1790100,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,6.39,0,5,6.5,1,1004757501,24,47,983364,202550,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,7,254.5840804,2589.31983,1362600,0,1,7396,7396,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +7397,MN,886,7503,105,72,3000,2,2,10016,L007,14,14,5300,1,5, ,127 EAST 30 STREET,C4-5A,C6-2A, , , , , , , , ,Y,R4,3,0, ,LEXINGTON PARC CONDOM,6441,63418,0,63418,0,0,0,0,0,0,2,1,19,71,71,62,98.75,0,0, ,0,Y,5,5,1935001,10006653,268670,881598,1988,0,0, , ,9.85,4,4,4,1,1008867503,587,72,989267,210432,8d, ,104 019,10307, ,1008860018,12/8/1988,1, , ,17V1.1,7,362.7806136,6676.342605,8071650,10,0,7397,7397,31,6975,33.23199844,33.68644333,0.454444885,33.2492314,0.081057182,1030.726173 +7398,MN,164,51,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,9 MOTT STREET,C6-1, , , , , ,TA, , , ,N,O6,5,0,P,MAZET REALTY CORP,3945,28087,28087,0,24087,4000,0,0,0,0,2,1,7,0,14,47.5,97.67,48,98, ,3,Y,5,2,390150,1405800,0,0,1920,2006,0, , ,7.12,3.44,6,6.5,1,1001640051,0,29,984538,199383,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,284.9500435,4143.200601,1015650,16,0,7398,7398,17,3825,25.58300018,25.58300018,0,25.58300018,0,434.9110031 +7399,MN,848,53,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,30 EAST 20 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,30 EAST 20 LLC,3680,23166,23166,0,19966,3200,0,0,0,0,2,1,7,0,22,40,92,40,86,E,3,N,5,2,639000,2619450,0,0,1915,0,0,Ladies' Mile Historic District, ,6.3,0,5,6.5,1,1008480053,0,52,987327,208361,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,275.2129333,3971.915683,1980450,7,0,7399,7399,18,4050,35.19100189,39.37333298,4.182331085,35.64737193,1.291051467,641.6526947 +7400,MN,773,40,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,224 7 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0, ,224 SEVENTH AVENUE RE,1974,7680,7680,0,3715,3965,0,0,0,0,2,1,4,0,5,24.67,80,25,80,E,3,Y,3,2,405000,1064250,0,0,1880,1989,0, , ,3.89,9,6,9,1,1007730040,0,91,985408,210467,8d, ,105S009,10304,E-54,0, ,1, , ,17V1.1,0,211.0097963,2069.354054,659250,2,0,7400,7400,9,2025,23.38899994,26.14500046,2.756000519,23.69522222,0.866127403,213.257 +7401,MN,487,12,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,383 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D0,3,0, ,383 WEST BROADWAY COR,11000,63888,10000,53888,0,10000,0,0,0,0,2,1,6,9,11,55,200.08,55,198, ,3,N,4,2,1309500,6912450,2360,2360,1900,2016,2009,SoHo-Cast Iron Historic District, ,5.81,0,5,6.5,1,1004870012,0,47,983676,202936,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,522.5360155,11428.50427,5602950,0,1,7401,7401,51,11475,12.68222237,13.42399979,0.74177742,13.40042681,0.119726605,683.4217672 +7402,MN,792,66,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,154 WEST 17 STREET,C6-2A,R8A, , , , , , , , ,Y,P7,8,0,X,"RUBIN, DONALD CULTURA",1540,5000,5000,0,5000,0,0,0,0,0,2,1,6,0,1,12,128.33,12,70,E,3,N,5,2,406800,994050,406800,994050,1910,1987,2002, , ,3.25,6.02,6,6.5,1,1007920066,0,81,984815,208891,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,287.3125991,1620.365088,587250,7,0,7402,7402,8,1800,27.66555595,28.37333298,0.707777023,27.75402808,0.234075248,222.0322247 +7403,MN,696,44,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,514 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0,P,"BAHRA GROUP, INC.",1975,7801,5940,1860,1860,4080,0,0,0,0,2,1,4,1,4,20,98.75,20,98.75, ,3,N,5,0,157500,1114650,0,0,1900,1988,2004, , ,3.95,0,5,6.5,1,1006960044,0,99,983105,212195,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,241.9789144,2066.070591,957150,2,1,7403,7403,10,2250,8.63299942,9.993332863,1.360333443,8.866099453,0.42870449,88.66099453 +7404,MN,851,56,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,26 EAST 23 STREET,C6-4M, , , , , , , , , ,N,K5,5,0, ,FLAMINGO LLC,2436,4800,4800,0,0,4800,0,0,0,0,2,1,2,0,1,24.67,98.75,25,96,E,3,N,5,2,486000,1523700,0,0,1928,2008,0, , ,1.97,10,10,10,1,1008510056,0,56,987597,209072,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,255.7498338,2459.743161,1037700,11,0,7404,7404,11,2475,32.49111176,32.49111176,0,32.49111176,0,357.4022293 +7405,MN,452,28,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,342 EAST 11 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,342 E 11 ST REALTY CO,2514,10331,2066,8265,0,2066,0,0,0,0,2,1,5,8,9,36,69.83,36,68, ,3,N,5,2,72043,260646,0,0,1900,1983,0, , ,4.11,4,0,4,1,1004520028,0,40,988536,205018,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,216.2440774,2595.114132,188603,12,0,7405,7405,11,2475,22.86222267,24.12444496,1.26222229,22.97697015,0.362863395,252.7466717 +7406,MN,874,50,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,140 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,RICHARD OTCASEK,2162,7589,0,7589,0,0,0,0,0,0,2,1,5,1,1,23.5,92,23.5,60,E,2,N,5,2,129578,345752,1550,1550,1910,0,0,Gramercy Park Historic District, ,3.51,4,0,4,1,1008740050,0,50,988227,207584,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,242.2456422,2296.522485,216174,5,0,7406,7406,9,2025,27.68333435,27.76555634,0.082221985,27.69247013,0.025839877,249.2322311 +7407,MN,896,7,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,205 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C5,2,0, ,205 EAST 14TH LLC,2994,14226,0,14226,0,0,0,0,0,0,2,1,5,19,19,29,103.25,29,92, ,3,N,5,2,154350,1462500,0,0,1900,1988,0, , ,4.75,4,2,4,1,1008960007,0,48,988010,206433,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,271.6001132,3097.211158,1308150,12,0,7407,7407,14,3150,29.70000076,33.69888687,3.998886108,30.18999985,0.984256931,422.6599979 +7408,MN,495,4,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,241 LAFAYETTE STREET,C6-2, , , , , ,LI, , , ,N,D4,3,0, ,LAFAYETTE STREET APAR,2527,12081,2025,10056,0,2025,0,0,0,0,2,1,6,6,7,25.33,99.75,25,100, ,2,N,5,2,148742,802791,0,0,1900,0,0, , ,4.78,6.02,6,6.5,1,1004950004,0,43,985182,202575,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,261.3334676,2775.095692,654049,0,0,7408,7408,12,2700,37.57110977,39.69444275,2.123332977,37.81177648,0.605407147,453.7413177 +7409,MN,828,20,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,21 WEST 26 STREET,M1-6, , , , , , , , , ,N,O2,5,0, ,"A.Z. ASSOCIATES, L.P.",2469,5250,5250,0,5250,0,0,0,0,0,2,1,3,0,1,25,98.75,25,92, ,3,N,5,2,225000,558450,0,0,1920,0,0,Madison Square North Historic District, ,2.13,0,10,10,1,1008280020,0,58,987113,210448,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,250.3219165,2417.430233,333450,2,0,7409,7409,12,2700,42.13444519,42.33388901,0.199443817,42.15106551,0.055123359,505.8127861 +7410,MN,590,52,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,287 BLEECKER STREET,C2-6, , , , , , , , , ,N,C7,4,0,P,287 BLEECKER STREET L,1844,8375,1675,6700,0,1675,0,0,0,0,2,1,5,8,10,24.58,75,25,66, ,3,N,5,2,126919,352391,0,0,1900,1963,0,Greenwich Village Historic District Exte, ,4.54,3.44,2,6.5,1,1005900052,0,67,983346,205997,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,205.5258146,1970.104083,225472,9,0,7410,7410,10,2250,19.74111176,19.74111176,0,19.74111176,0,197.4111176 +7411,MN,466,23,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,228 EAST 11 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,BOUWERE TENANTS CORP,1493,4172,0,4172,0,0,0,0,0,0,2,1,4,6,6,16.67,89.58,17,55, ,3,N,5,5,39509,157860,0,0,1900,1984,2005, , ,2.79,4,0,4,1,1004660023,0,40,987722,205457,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,223.3514333,1613.169618,118351,12,0,7411,7411,8,1800,32.08111191,35.12666702,3.045555115,32.959445,1.214557935,263.67556 +7412,MN,608,67,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,155 WEST 12 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"DAVIS, NANCY R",2151,3782,0,2751,0,0,0,0,0,0,2,1,3,2,2,20.83,103.25,20.83,41.25,E,3,N,5,1,59375,195747,0,0,1910,1992,0,Greenwich Village Historic District, ,1.76,2.43,0,4.8,1,1006080067,0,71,984408,207771,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,254.1470218,2123.042858,136372,8,0,7412,7412,9,2025,24.04400063,30.02222252,5.978221893,26.22451888,2.43939472,236.0206699 +7413,MN,377,6,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,120 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S2,4,0, ,PARNES UZI,1260,4031,800,3231,0,800,0,0,0,0,2,1,4,2,3,18,70,18,42,E,0,N,5,5,24167,48925,1550,1550,1900,0,0, , ,3.2,4,0,4,1,1003770006,0,2602,990260,203199,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,184.5490387,1358.20587,24758,12,1,7413,7413,5,1125,7.409999847,8.04888916,0.638889313,7.53777771,0.255555725,37.68888855 +7414,MN,741,10,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,330 WEST 18 STREET,R8B, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,78920,157160,157160,0,157160,0,0,0,0,0,2,1,4,0,2,430.33,184,332,175, ,3,Y,5,0,7875000,17425350,7875000,17425350,1966,1966,0, , ,1.99,4,0,4,1,1007410010,0,83,983635,209793,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,1241.470793,81117.95781,9550350,7,0,7414,7414,361,81225,15.59444427,20.65222168,5.057777405,16.54075549,1.752647208,5971.21273 +7415,MN,468,4,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,93 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,FAMECO LLC,5201,21585,2500,19085,0,2500,0,0,0,0,2,1,5,24,26,52,100,52,84, ,3,N,5,2,769500,2618100,0,0,1920,1988,0, , ,4.15,6.02,6,6.5,1,1004680004,0,40,987685,206019,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,310.9960361,5409.447765,1848600,12,0,7415,7415,23,5175,29.43199921,38.42666626,8.994667053,31.05800911,3.193819628,714.3342094 +7416,MN,282,11,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,91 HENRY STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,91 HENRY STREET REALT,2563,11706,2000,9706,0,2000,0,0,0,0,2,1,6,22,24,25.42,100,25,85, ,2,N,5,2,81000,836550,0,0,1920,1987,0, , ,4.57,3.44,6,6.5,1,1002820011,0,8,986155,199169,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,253.9217842,2597.855952,755550,16,0,7416,7416,12,2700,34.88000107,39.6511116,4.771110535,35.27759361,1.31866529,423.3311234 +7417,MN,771,75,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,232 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,232 EIGHTH AVE.RLTYCO,2440,5714,1500,4214,0,1500,0,0,0,0,2,1,4,5,6,22.33,100,23,59, ,3,Y,5,5,106167,475074,0,0,1920,0,0, , ,2.34,4,2,4,1,1007710075,0,87,984588,210458,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.403624,2461.735789,368907,7,0,7417,7417,10,2250,21.99111176,21.99111176,0,21.99111176,0,219.9111176 +7418,MN,420,43,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,146 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,FOOK CHEUNG LUNG RLTY,2510,10675,0,10675,0,0,0,0,0,0,2,1,5,24,24,25,100.42,25,80, ,2,N,5,1,202500,1378350,0,0,1910,1965,0, , ,4.25,4,4,4,1,1004200043,0,18,986588,201690,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,257.4933499,2577.777463,1175850,13,0,7418,7418,11,2475,42.23899841,44.85111237,2.612113953,42.81850399,0.845610669,471.0035439 +7419,MN,860,1,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,285 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,MANHATTAN PROPERTIESC,38575,614040,614040,0,576540,37500,0,0,0,0,2,1,16,0,116,197.5,164.33,197,164, ,0,Y,3,2,33345000,66939750,0,0,1920,0,0, , ,15.92,10,10,10,1,1008600001,0,74,988205,211084,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,823.6143949,39337.90566,33594800,10,0,7419,7419,176,39600,37.50888824,41.6566658,4.147777557,37.78052341,0.916201645,6649.37212 +7420,MN,915,7,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2A,211 EAST 34 STREET,C1-9A, , , , , , , , , ,N,S5,4,0, ,207 EAST 34 ACQUISITI,1234,2632,600,2032,0,600,0,0,0,0,2,1,4,6,7,12.5,98.75,12.5,50, ,0,N,5,2,16390,173176,0,0,1910,0,0, , ,2.13,10,2,10,1,1009150007,0,78,990528,210958,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,230.6807436,1353.601355,156786,10,0,7420,7420,5,1125,27.39299965,27.39299965,0,27.39299965,0,136.9649982 +7421,MN,784,19,105,109,1005,2,3,10122,E026,14,15,5200,1,5,1H,225 WEST 34 STREET,C6-4M,M1-6, , , , ,GC, , , ,Y,O4,5,0, ,14 SO. WILLIAMSPORT H,22614,461386,461386,0,441386,20000,0,0,0,0,2,1,22,0,139,154,197.5,154,196, ,3,Y,4,2,8910000,58203900,0,0,1924,1925,0, , ,20.4,10,10,10,1,1007840019,0,109,986540,213184,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,720.1173392,24257.15541,49293900,6,0,7421,7421,105,23625,34.68444443,38.07222366,3.387779236,34.80802329,0.575766667,3654.842445 +7422,MN,842,21,105,52,2006,2,2,10003,L003,13,15,5700,1,5,1B,1 UNION SQUARE WEST,C6-4,C6-1, , , , ,US, , , ,Y,O6,5,0, ,UNION SQUARE ASSOCIAT,6032,51284,51284,0,46284,5000,0,0,0,0,2,1,9,0,60,51.58,116.83,50,117, ,3,Y,3,1,3150000,12096000,0,0,1900,1979,0, ,THE LINCOLN BUILDING,8.5,10,10,10,1,1008420021,0,52,986502,207239,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,357.2819818,6753.117274,8946000,7,0,7422,7422,30,6750,36.55699921,40.25444412,3.697444916,36.72582143,0.679045672,1101.774643 +7423,MN,444,3,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,42 2 AVENUE,C6-2A, , , , , , , , , ,N,M3,8,0,X,RC CHURCH OF THE NATI,3294,5790,5790,0,0,0,0,0,0,5790,2,2,3,0,1,43.92,75,44,48, ,2,N,5,2,267750,557100,267750,557100,1920,0,0, , ,1.76,6.02,6,6.5,1,1004440003,0,3602,987047,203430,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,243.9406788,3421.568457,289350,1,0,7423,7423,16,3600,33.94100189,38.69333267,4.75233078,34.57101488,1.144231241,553.1362381 +7424,MN,446,8,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,86 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,86 2ND AVENUE,2400,12020,2404,9616,0,2404,0,0,0,0,2,1,5,15,19,100,24,24,100, ,2,N,3,2,216450,1830150,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,5.01,4,0,4,1,1004460008,0,38,987368,203984,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,261.0950186,2701.807568,1613700,1,0,7424,7424,13,2925,32.62111282,36.06222153,3.441108704,33.33367626,1.303967372,433.3377914 +7425,MN,617,44,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,224 WEST 13 STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,"UNITED GREENWICH, LLC",1460,4194,0,4194,0,0,0,0,0,0,2,2,5,10,10,20,76.25,20,58, ,3,Y,5,2,150143,389039,0,0,1900,0,0,Greenwich Village Historic District, ,2.87,3.44,2,6.5,1,1006170044,0,77,983817,208238,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,194.9892358,1538.568109,238896,8,0,7425,7425,7,1575,23.28222275,23.28222275,0,23.28222275,0,162.9755592 +7426,MN,308,21,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,53 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"PACIFIC REALTY GROUP,",2215,9478,1800,7678,0,1800,0,0,0,0,2,2,5,11,14,25.17,88.08,25,88,E,3,N,4,2,150750,773550,0,0,1910,0,0, , ,4.28,6.02,6,6.5,1,1003080021,0,16,986673,200366,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,232.6076778,2348.694011,622800,13,0,7426,7426,9,2025,36.62400055,36.62400055,0,36.62400055,0,329.6160049 +7427,MN,400,52,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,211 EAST 4 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,"PARKER, CHRIS",1964,5815,800,5015,0,800,0,0,0,0,2,1,5,8,9,20.42,96.17,20,55, ,3,N,5,2,12019,67765,0,0,1900,0,0, , ,2.96,3,0,3,1,1004000052,0,32,988817,203030,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,246.9831662,2044.695426,55746,1,0,7427,7427,9,2025,15.8922224,17.97555542,2.083333015,16.52419768,0.897299471,148.7177792 +7428,MN,437,21,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,280 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,280-10 GROUP,4613,19464,3244,16220,0,3244,0,0,0,0,2,1,6,33,37,50,92.25,50,78, ,3,N,5,2,420750,1667700,0,0,1900,1984,0, , ,4.22,4,0,4,1,1004370021,0,34,988939,204495,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,286.3697456,4675.801073,1246950,12,0,7428,7428,21,4725,17.51666641,19.6044445,2.087778091,17.61608442,0.444610832,369.9377728 +7429,MN,386,33,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,274 EAST 4 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,D9,3,0,O,NYC HOUSING AUTHORITY,44380,132308,0,132308,0,0,0,0,0,0,2,1,8,108,108,198.67,192.33,98,150, ,1,Y,3,0,1350000,8157150,1350000,8157150,1973,0,0, , ,2.98,4,0,4,1,1003860033,0,2601,989510,202403,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,973.1506017,45378.22955,6807150,1,0,7429,7429,203,45675,12.88555527,17.76444435,4.878889084,15.52620949,0.728508101,3151.820526 +7430,MN,465,45,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,46 STUYVESANT STREET,R8B, , , , , , , , , ,N,C3,2,0,P,STUYVESANT STUDIOS CO,794,3244,0,3244,0,0,0,0,0,0,2,1,4,4,4,33.83,54,34,36, ,3,Y,5,5,96238,130321,0,0,1900,1984,0,St. Mark's Historic District, ,4.09,4,0,4,1,1004650045,0,40,987708,205182,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,153.801245,953.466192,34083,12,0,7430,7430,4,900,31.03333282,31.03333282,0,31.03333282,0,124.1333313 +7431,MN,574,19,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,50 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"FROMBOLUTI, NORA SPEY",2053,3780,0,2772,0,0,0,0,0,0,2,1,4,2,2,21.67,94.75,21.67,42, ,3,N,5,1,61708,237384,0,0,1899,0,0,Greenwich Village Historic District, ,1.84,2.43,0,4.8,1,1005740019,0,63,985056,206931,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,234.0199283,1949.419388,175676,8,0,7431,7431,9,2025,23.85844421,25.79222107,1.933776855,24.43840684,0.57480743,219.9456615 +7432,MN,844,42,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,91 5 AVENUE,C6-4M,M1-5M,C6-2A, , , , , , , ,Y,O6,5,0, ,91 FIFTH AVENUE CORP,6629,51838,51838,0,32338,19500,0,0,0,0,2,1,8,0,10,56.25,100,56,117, ,3,Y,5,2,3920400,9881100,0,0,1900,2012,0,Ladies' Mile Historic District, ,7.82,10,10,10,1,1008440042,0,52,986459,207995,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,415.5641053,7510.422507,5960700,7,0,7432,7432,35,7875,39.90888977,41.19499969,1.286109924,41.13214264,0.259173571,1439.624992 +7433,MN,389,7501,103,26.02,2002,1,2,10009,L011,9,14,6700,3,3, ,97 AVENUE B,R7A, , , ,C1-5, , , , , ,N,RM,4,0, ,99 AVENUE B CORP,5619,27154,2703,24451,0,2703,0,0,0,0,2,2,6,30,32,60.42,93,60,80, ,3,N,5,2,382500,3203550,16520,16520,1900,1987,1987, , ,4.83,4,0,4,1,1003897501,545,2602,989455,203280,12c, ,102 022,10203, ,1003890003,12/31/1988,1, , ,17V1.1,7,306.5011441,5585.201184,2821050,12,1,7433,7433,25,5625,9.168999672,13.50666714,4.337667465,9.471319733,1.037322996,236.7829933 +7434,MN,189,7504,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,158 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,FRANKLIN CONDO,2190,12797,3422,9375,0,1088,0,0,0,2334,2,1,6,5,7,0.05,87,0,0, ,0,N,5,5,101379,633510,2360,2360,1920,0,0,Tribeca West Historic District, ,5.84,6.02,6,6.5,1,1001897504,816,33,982004,201389,12a, ,101S035,10105, ,1001890011,12/12/1992,1, , ,17V1.1,7,236.9910483,2421.989157,532131,14,1,7434,7434,12,2700,10.17444515,10.17444515,0,10.17444515,0,122.0933418 +7435,MN,414,51,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,81 DELANCEY STREET,C6-2A, , , , , , , , , ,N,P7,8,0,X,LOWER EAST SIDE TENEM,3638,20552,10893,9659,10893,0,0,0,0,0,2,1,5,12,13,47.83,76.06,47,76, ,3,N,3,2,270000,1395900,270000,1395900,1910,2010,0, , ,5.65,6.02,6,6.5,1,1004140051,0,18,987001,201150,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,260.8986701,4031.805814,1125900,13,0,7435,7435,18,4050,36.4944458,37.18244171,0.687995911,37.1113383,0.172774534,668.0040894 +7436,MN,728,7501,104,103,1009,2,3,10001,L021,10,15,5500,2,4, ,365 9 AVENUE,C6-4, , , , , ,HY, , , ,N,RC,5,0,X, ,10036,46456,46456,0,23667,0,0,0,0,22789,2,1,6,0,2,74.25,125,0,0, ,0,Y,0,5,541799,4389507,541799,4389507,1992,0,0, , ,4.63,10,10,10,1,1007287501,1016,103,984755,213060,8d, ,15S 017,10302, ,1007280039,12/29/1998,1, , ,17V1.1,7,490.2687236,11178.07928,3847710,6,0,7436,7436,50,11250,31.11100006,38.24555588,7.134555817,32.58192001,2.415259988,1629.096001 +7437,MN,398,4,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,32 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,STRIPE REALTY CO LP,1672,4708,1000,3708,0,1000,0,0,0,0,2,1,4,3,4,22,76,22,76, ,0,N,5,5,65542,454976,0,0,1960,1990,0, , ,2.82,4,0,4,1,1003980004,0,3002,988344,202790,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,201.6460236,1753.777696,389434,1,0,7437,7437,8,1800,19.43000031,22.06866646,2.638666153,19.75983357,0.872656804,158.0786686 +7438,MN,63,13,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,189 BROADWAY,C5-5, , , , , ,LM, , , ,N,U0,7,0,P,NYC TRANSIT,4621,6565,6565,0,0,0,0,0,0,6565,7,1,0,0,1,46.08,100.67,0,0, ,0,Y,3,5,0,0,0,0,0,0,0, , ,1.42,10,15,15,1,1000630013,0,13,981525,198104,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,302.2020714,4920.976259,0,3,0,7438,7438,21,4725,30.87333298,32.83444595,1.961112976,31.64629664,0.700512456,664.5722294 +7439,MN,377,59,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,257 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,EAST 7 STREET APT HOM,2413,8655,0,8655,0,0,0,0,0,0,2,1,5,12,12,24.75,97.5,25,82, ,2,N,5,2,90000,982800,0,0,1900,1988,0, , ,3.59,4,0,4,1,1003770059,0,2602,990459,202973,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,248.8735789,2485.913198,892800,12,1,7439,7439,10,2250,7.507333279,7.507333279,0,7.507333279,0,75.07333279 +7440,MN,699,1,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,262 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,G8,5,0,P,DEZER PROPERTIES 11TH,19760,93583,93583,0,0,0,93583,0,0,0,2,2,5,0,5,197.5,100,172,96, ,2,N,3,0,1098000,12744000,0,0,1915,1987,1996,West Chelsea Historic District, ,4.74,7.52,6,10,1,1006990001,0,99,982965,213100,8b, ,105S004,10301,E-142,0, ,1,1,1,17V1.1,0,607.9440216,20582.03704,11646000,2,1,7440,7440,91,20475,8.894444466,10.03688908,1.142444611,9.85228135,0.140809046,896.5576029 +7441,MN,440,48,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,423 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,423 EAST 12TH STREET,2512,7039,750,6289,0,0,0,0,0,750,2,2,4,12,12,24.33,103.25,25,40, ,3,N,5,2,193500,781650,0,0,1910,1987,0, , ,2.8,4,0,4,1,1004400048,0,34,989162,205140,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,259.3907451,2600.141968,588150,12,0,7441,7441,11,2475,16.59444427,16.59444427,0,16.59444427,0,182.538887 +7442,MN,239,36,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,94 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,EMPIRE BOWERY LLC,2398,10000,6000,4000,4000,2000,0,0,0,0,2,1,5,2,5,24,99.92,24,100, ,3,N,5,1,249750,950850,0,0,1910,1985,0, , ,4.17,3.44,6,6.5,1,1002390036,0,41,985465,200720,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,261.0388705,2628.788074,701100,0,0,7442,7442,12,2700,37.1590004,37.1590004,0,37.1590004,0,445.9080048 +7443,MN,622,46,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,262 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"GILLILAND, ERIC",2375,6500,0,5500,0,0,0,0,0,0,2,1,4,3,3,25,95,25,60,E,2,N,5,1,66404,305889,0,0,1910,1989,2005,Greenwich Village Historic District, ,2.74,2.43,0,4.8,1,1006220046,0,73,983181,207398,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,249.3972536,2658.429039,239485,8,0,7443,7443,11,2475,24.5988884,26.8742218,2.275333405,25.23709037,0.564967286,277.6079941 +7444,MN,374,36,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,53 AVENUE D,R8A, , , ,C1-5, , , , , ,N,K1,5,0,P,"RASH, LLC",1760,1452,1452,0,0,1452,0,0,0,0,2,1,1,0,1,22,80,22,66,E,3,N,5,0,102150,197550,0,0,1900,0,0, , ,0.83,6,0,6,1,1003740036,0,2601,990421,202245,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,208.9264659,1814.203546,95400,1,1,7444,7444,7,1575,11.67399979,11.67399979,0,11.67399979,0,81.7179985 +7445,MN,765,65,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,242 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WEST 16TH REALTY,4603,21642,2175,19467,0,2175,0,0,0,0,2,2,6,45,48,44.58,103.25,22,90, ,3,N,5,1,395100,2520450,0,0,1910,1987,0, , ,4.7,4,0,4,1,1007650065,0,81,984034,209060,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,299.7618785,4701.914587,2125350,7,0,7445,7445,19,4275,22.05333328,23.99888992,1.945556641,22.155731,0.434436724,420.958889 +7446,MN,353,79,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,138 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K1,5,0, ,EAST SIDE MANAGEMENT,2508,2500,2500,0,0,2500,0,0,0,0,2,1,1,0,1,25,100.33,25,100, ,0,N,5,2,231750,761400,0,0,1900,2013,0, , ,1,6.02,6,6.5,1,1003530079,0,1402,987889,201050,12c, ,101N079,10201,E-216,0, ,1, , ,17V1.1,0,256.673488,2670.82936,529650,13,0,7446,7446,12,2700,26.83777809,26.83777809,0,26.83777809,0,322.0533371 +7447,MN,308,28,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,83 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"81-85 HESTER REALTY,",2697,11534,3850,7684,1500,2350,0,0,0,0,2,1,5,15,17,42.4,63.6,21,52, ,3,N,5,2,126450,1200600,0,1049844,1900,2003,0, , ,4.28,6.02,6,6.5,1,1003080028,0,16,986615,200220,12c, ,101N051,10107, ,1003080029,7/17/2006,1, , ,17V1.1,0,213.0486773,2746.249046,1074150,13,0,7447,7447,12,2700,36.62400055,36.62400055,0,36.62400055,0,439.4880066 +7448,MN,900,35,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,224 EAST 20 STREET,R8B, , , , , , , , , ,N,D8,3,0, ,227 EAST 19TH STREET,4830,43400,0,43400,0,0,0,0,0,0,2,1,8,11,11,0,0,113,80, ,1,N,0,0,2488500,3704850,0,0,1901,2013,0, , ,8.99,4,0,4,1,1009000035,0,64,988845,207511,12c, ,102 047,10308, ,1009000009,7/21/2005,1, , ,17V1.1,0,390.7976033,6309.043539,1216350,5,0,7448,7448,27,6075,20.76499939,22.85888863,2.093889236,20.90059612,0.48473452,564.3160954 +7449,MN,836,35,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,358 5 AVENUE,C5-3, , , , , ,MID, , , ,N,O6,5,0, ,JACOB'S FIRST,11175,135570,135570,0,105570,30000,0,0,0,0,2,1,13,0,63,111.75,100,112,100, ,3,N,3,2,6570000,26475300,0,0,1920,1986,0, , ,12.13,10,15,15,1,1008360035,0,76,988493,212090,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,456.0605408,12966.93594,19905300,10,0,7449,7449,57,12825,49.62900162,57.32555389,7.696552277,50.02813018,1.530454313,2851.60342 +7450,MN,310,18,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,351 GRAND STREET,C6-2, , , , , , , , , ,N,S3,4,0, ,JBJ HOLDING LLC,1068,3680,1400,2280,0,0,0,0,0,1400,2,1,4,3,4,21,50,21,50, ,3,N,5,5,105439,153827,0,0,1910,1997,2013, , ,3.45,6.02,6,6.5,1,1003100018,0,16,987148,200380,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,148.9713987,1135.227943,48388,13,0,7450,7450,4,900,34.98799896,34.98799896,0,34.98799896,0,139.9519959 +7451,MN,889,53,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,152 EAST 34 STREET,C1-9, , , , , , , , , ,N,M1,8,0,X,ARMENIAN EVANGELICAL,3547,3547,3547,0,0,0,0,0,0,3547,2,1,2,0,1,35.92,98.75,35.92,90, ,3,N,5,2,531000,922500,531000,922500,1915,0,0, , ,1,10,2,10,1,1008890053,0,72,990052,211000,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,288.9229886,3977.26144,391500,10,0,7451,7451,18,4050,24.63888931,35.61999893,10.98110962,26.38885233,3.717429818,474.999342 +7452,MN,719,16,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,443 WEST 21 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,MACK JOSHUA L,1950,5928,0,4484,0,0,0,0,0,0,2,1,3,2,2,19.75,98.75,19.75,42,E,3,N,5,1,42185,151910,0,0,1910,1999,0,Chelsea Historic District, ,3.04,3,0,3,1,1007190016,0,89,983188,211107,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,245.1850976,2048.900536,109725,7,1,7452,7452,10,2250,9.307999611,13.59111118,4.283111572,9.944688511,1.303530437,99.44688511 +7453,MN,232,12,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,458 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,458 GRAND BWAY OWNERS,3009,29370,3009,26361,0,3009,0,0,0,0,2,1,9,8,9,30.08,100.17,30,99, ,3,Y,3,2,789322,1713660,7490,7490,1920,0,0,SoHo-Cast Iron Historic District, ,9.76,0,5,6.5,1,1002320012,0,45,984110,201804,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,272.1788666,3250.934712,924338,0,0,7453,7453,15,3375,14.35888863,21.02444458,6.665555954,16.244074,2.67911873,243.6611099 +7454,MN,350,78,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,180 STANTON STREET,R7A, , , , , , , , , ,N,M1,8,0,P,CONG BNEI JACOB ANSHE,1990,4000,4000,0,0,0,0,0,0,4000,2,1,2,0,1,20,99.5,20,89, ,3,N,5,1,91800,233100,91800,233100,1913,0,0, , ,2.01,4,0,4,1,1003500078,0,2201,988722,201687,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,246.3569016,2127.437285,141300,1,0,7454,7454,12,2700,21.35555649,21.35555649,0,21.35555649,0,256.2666779 +7455,MN,818,7,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,53 WEST 16 STREET,C6-2M,C6-2A, , , , , , , , ,Y,S5,4,0, ,"MORON, L.L.C.",1840,5600,1000,4600,0,1000,0,0,0,0,2,1,4,6,7,20,92,20,56, ,3,N,5,1,94843,433585,0,0,1925,0,0, , ,3.04,6.02,6,6.5,1,1008180007,0,54,985564,208388,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,234.1609426,2084.441643,338742,7,0,7455,7455,9,2025,31.11599922,31.92533493,0.809335709,31.20592541,0.254349675,280.8533287 +7456,MN,142,7501,101,21,2003,2,1,10007,L010,1,15,7700,1,1, ,89 MURRAY STREET,C6-4, , , , , , , , , ,N,RM,4,0, ,270 GREENWICH STREET,90565,770447,208620,561827,0,151706,56914,0,0,0,2,2,32,382,388,206.18,461.45,461.47,206.18, ,0,Y,0,5,15255010,165018615,672842,73374057,2006,0,0, ,260 WASHINGTON STREET,8.51,10,10,10,1,1001427501,1507,21,980891,199999,12a,Y,11S 037,10104, ,1001420110,2/26/2008,1,1,1,17V1.1,7,1423.120485,90414.34877,149764000,3,1,7456,7456,401,90225,8.302222252,12.53277779,4.230555534,8.976701689,0.927369092,3599.657377 +7457,MN,111,150,103,25,2000,2,1,10038,E009,5,14,7800,1,3,1A,78 CATHERINE STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DHS,39875,115659,115659,0,115659,0,0,0,0,0,2,1,4,0,1,191.08,201.25,188,191, ,1,Y,6,2,3140100,5486850,3140100,5486850,1950,0,0, , ,2.9,3.44,0,6.5,1,1001110150,0,25,984831,198224,12d, ,101S027,10104, ,0, ,1,1,1,17V1.1,0,845.3879986,44650.02999,2346750,16,1,7457,7457,198,44550,8.518888474,14.62333298,6.104444504,9.11544901,0.841983182,1804.858904 +7458,MN,624,23,102,79,4006,2,3,10014,L005,6,15,6100,1,2,3B,10 BETHUNE STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,8-10 BETHUNE/791 GREE,1497,6990,0,6990,0,0,0,0,0,0,2,1,5,15,15,21.92,68,22,64.4, ,3,N,0,0,103500,1093500,57928,57928,1915,0,0, , ,4.67,3.44,2,6.5,1,1006240023,0,79,982484,207826,12a, ,100 000,10210, ,1006240008,3/6/2013,1, , ,17V1.1,0,185.7554411,1550.867943,990000,8,0,7458,7458,10,2250,15.52555561,15.52555561,0,15.52555561,0,155.2555561 +7459,MN,475,7509,102,47,2009,2,1,10013,L008,1,15,6800,1,2, ,43 WOOSTER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,NEW BEDFORD MANAGEMEN,4991,26506,5835,20671,0,5835,0,0,0,0,2,1,7,10,11,49.96,100,49.96,100, ,0,N,0,5,863999,3985200,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,5.31,0,5,6.5,1,1004757509,1253,47,983499,202569,12a, ,11N 069,10206, ,1004750021,12/17/2002,1,1,1,17V1.1,7,310.4611357,5262.450897,3121200,0,1,7459,7459,23,5175,9.686666489,9.686666489,0,9.686666489,0,222.7933292 +7460,MN,164,28,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,45 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,43 MOTT REALTY OWNER,2380,7946,2200,5746,0,2200,0,0,0,0,2,2,5,11,14,25,94.83,25,55, ,0,Y,5,2,162000,1128150,0,0,1915,0,0, , ,3.34,3.44,6,6.5,1,1001640028,0,29,984538,199880,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,247.5253169,2544.814179,966150,14,0,7460,7460,12,2700,24.29500008,25.65055466,1.355554581,24.40796296,0.374655494,292.8955555 +7461,MN,784,7,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,265 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K1,5,0, ,265 WEST 34TH STREET,1690,1691,1691,0,0,1691,0,0,0,0,2,1,1,0,1,21.67,78,22,78, ,3,N,5,2,1530000,2131200,0,0,1920,0,0, , ,1,10,10,10,1,1007840007,0,109,986227,213327,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,209.5619518,1672.856929,601200,6,0,7461,7461,7,1575,34.68444443,34.68444443,0,34.68444443,0,242.791111 +7462,MN,914,35,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,621 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,K4,4,0, ,"GRATEFUL, LLC",1728,5184,2706,2478,1238,1468,0,0,0,0,2,1,3,2,5,24.67,70,24.67,70,E,3,N,3,2,238950,844200,0,0,1920,1958,0, , ,3,10,2,10,1,1009140035,0,70,990830,210609,8d, ,104 021,10308, ,0, ,1, , 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,17V1.1,0,255.7726646,2278.763378,152685,8,0,7464,7464,11,2475,24.42399979,25.94000053,1.516000748,24.59276754,0.437020143,270.520443 +7465,MN,623,41,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,290 WEST 4 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"SEYMOUR, CATRYNA TEN",1200,3360,0,2520,0,0,0,0,0,0,2,1,3,3,3,20,60,20,42, ,3,N,5,1,45334,151923,6900,6900,1899,0,0,Greenwich Village Historic District, ,2.8,2.43,0,4.8,1,1006230041,0,77,983193,207605,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,167.762625,1269.086724,106589,8,0,7465,7465,5,1125,23.62700081,25.66333389,2.036333084,24.18313408,0.794262346,120.9156704 +7466,MN,766,50,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,208 WEST 17 STREET,C6-2A,R8B, , , , , , , , ,Y,C4,2,0,P,"NB VALLEJO, LLC",4530,10789,2250,8539,0,0,0,0,0,2250,2,3,4,22,22,38,119,38,68, ,0,Y,5,5,174600,1096650,0,0,1930,1985,0, , ,2.38,6.02,6,6.5,1,1007660050,0,81,984535,209054,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,319.2758784,4595.560176,922050,7,0,7466,7466,21,4725,21.88888931,26.52444458,4.635555267,22.10963004,0.987182542,464.3022308 +7467,MN,631,24,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,702 GREENWICH STREET,C1-6A, , , , , , , , , ,N,S1,4,0, ,THE IRVINE AT GREENWI,1707,1703,636,1067,0,636,0,0,0,0,2,1,1,1,2,19,52,19,52, ,3,Y,3,5,43295,152094,0,0,1900,2007,0,Greenwich Village Historic District Exte, ,1,4,2,4,1,1006310024,0,75,982155,206569,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,177.6615917,1754.380363,108799,9,0,7467,7467,7,1575,17.77111053,17.77111053,0,17.77111053,0,124.3977737 +7468,MN,303,20,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,122 HESTER STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,LING GEE REALTY CORP.,2504,13205,2305,10900,0,2305,0,0,0,0,2,1,6,20,24,50,49.92,50,50, ,2,Y,3,2,180000,990900,0,0,1910,0,0, , ,5.27,3.44,6,6.5,1,1003030020,0,16,985712,200467,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,210.0420644,2755.957624,810900,0,0,7468,7468,12,2700,40.51666641,41.8488884,1.332221985,40.64944426,0.368717995,487.7933311 +7469,MN,473,7,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,474 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,474 BROADWAY REALTY C,2520,7989,7989,0,5489,2500,0,0,0,0,2,1,4,0,4,25.08,100,25,96,E,3,N,5,2,450000,3545550,0,0,1920,1985,0,SoHo-Cast Iron Historic District, ,3.17,0,5,6.5,1,1004730007,0,45,984241,202012,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,254.6521631,2558.744543,3095550,0,0,7469,7469,11,2475,20.99799919,20.99799919,0,20.99799919,0,230.9779911 +7470,MN,404,54,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,303 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ESTATE REALTY INC.,2369,7875,0,7875,0,0,0,0,0,0,2,2,5,14,14,25,94.75,25,50, ,3,N,5,2,67500,873000,0,0,1900,2012,0,East 10th Street Historic District, ,3.32,4,0,4,1,1004040054,0,34,989364,204434,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,246.8680872,2521.295561,805500,12,0,7470,7470,11,2475,12.53199959,17.12444496,4.592445374,14.16543414,1.886807316,155.8197756 +7471,MN,208,7501,102,45,1011,2,1,10013,E055,5,15,6800,1,2, ,129 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,6500,61750,4102,57648,0,4102,0,0,0,0,2,1,12,27,28,112.31,58.33,0,0, ,0,N,0,5,719999,8653048,2360,4891524,1900,0,0, , ,9.5,0,5,6.5,1,1002087501,1385,45,984308,201198,12c, ,11N 047,10105, ,1002080010,11/24/2004,1, , ,17V1.1,7,357.5790115,7075.74244,7933050,0,0,7471,7471,32,7200,14.81400013,15.8077774,0.993777275,14.865639,0.204336169,475.700448 +7472,MN,281,62,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,7 DIVISION STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,7 WU REAL ESTATE LTD.,1822,8640,8640,0,6924,1716,0,0,0,0,2,1,6,0,6,25.75,70.75,26,71,E,3,Y,5,2,281250,965700,0,0,1900,1997,2000, , ,4.74,3.44,6,6.5,1,1002810062,0,8,985064,199364,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,197.4566038,1827.807343,684450,16,0,7472,7472,10,2250,35.10200119,37.63111115,2.529109955,35.5433342,0.89436762,355.433342 +7473,MN,177,13,101,33,2007,2,1,10013,E007,1,15,7700,1,1,3B, LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,U2,7,0, ,CONSOLIDATED EDISON C,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,200.58,128.92,0,0, ,0,Y,3,5,0,0,0,0,0,0,0, , ,0,6.02,6,6.5,1,1001770013,0,33,982450,201005,12a, ,101S036,10105, ,0, ,1, ,1,17V1.1,0,720.4775167,29258.64152,0,14,1,7473,7473,131,29475,10.05555534,14.48555565,4.430000305,11.5816793,0.815567695,1517.199988 +7474,MN,461,40,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,233 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,233 EAST 5TH STREET L,2425,9140,0,9140,0,0,0,0,0,0,2,1,5,10,10,25,97,25,79, ,3,N,5,2,42311,169417,0,0,1905,1961,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004610040,0,38,987149,204239,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,250.7811168,2451.894538,127106,1,0,7474,7474,10,2250,36.55199814,39.17000198,2.618003845,37.02037659,0.944860311,370.2037659 +7475,MN,436,22,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,426 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,426 EAST 9TH LLC,2348,9745,0,9745,0,0,0,0,0,0,2,1,5,20,20,25,93.92,25,77, ,3,N,5,2,181350,1230300,0,0,1900,1983,0, , ,4.15,4,0,4,1,1004360022,0,32,988765,204308,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,250.6642099,2466.668071,1048950,12,0,7475,7475,9,2025,17.84799957,20.95555496,3.107555389,18.29565387,0.983316735,164.6608849 +7476,MN,576,56,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,31 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0,P,31 OPERATING CORP,5035,44586,0,44586,0,0,0,0,0,0,2,1,11.5,23,23,61.5,90.83,62,82, ,3,Y,5,2,390150,4502250,16520,16520,1900,0,0,Greenwich Village Historic District, ,8.86,2.43,0,4.8,1,1005760056,0,63,985429,207195,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,285.8482068,4890.713647,4112100,8,0,7476,7476,22,4950,23.70299912,23.70299912,0,23.70299912,0,521.4659805 +7477,MN,415,33,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,125 ALLEN STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,125-127 ALLEN ST ASSO,2204,10254,1709,8545,0,1709,0,0,0,0,2,1,6,24,26,25,88.17,25,76, ,3,N,5,1,202500,973350,0,0,1900,1961,0, , ,4.65,4,4,4,1,1004150033,0,18,986900,201567,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,231.5487553,2334.308704,770850,13,0,7477,7477,9,2025,37.10666656,38.26777649,1.161109924,37.23908615,0.363822631,335.1517754 +7478,MN,767,22,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,221 WEST 17 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,"221 W. 17TH STREET, L",5550,38710,38710,0,18110,5000,0,0,0,15600,2,1,6,0,2,50,110,50,110, ,0,N,5,5,432900,487740,0,0,1912,1988,1997, , ,6.97,6.02,6,6.5,1,1007670022,0,81,984500,209268,8d, ,103 033,10304, ,1007670054,12/15/1988,1, , ,17V1.1,0,324.6427702,5352.429592,54840,7,0,7478,7478,22,4950,21.88888931,21.88888931,0,21.88888931,0,481.5555649 +7479,MN,297,1,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,8 LUDLOW STREET,C6-2, , , , , , , , , ,N,J3,5,0, ,VJHC HOLDING CORP.,15870,40716,40716,0,0,0,0,0,0,40716,2,1,3,0,2,168.42,87.5,156,87, ,0,Y,5,2,464400,911250,0,0,1927,0,0, ,LOEW'S CANAL STREET THEATRE,2.57,6.02,6,6.5,1,1002970001,0,16,986835,199780,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,632.5691433,16065.95301,446850,13,0,7479,7479,73,16425,32.98300171,39.54222107,6.55921936,33.56767884,1.476957116,2450.440556 +7480,MN,905,7501,106,66,5000,2,2,10010,E016,13,14,5800,1,6, ,229 EAST 24 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,1920,8704,0,8704,0,0,0,0,0,0,2,1,9,10,10,0.04,0,0,0, ,0,N,5,5,110282,1482017,2360,2360,1984,0,0, , ,4.53,4,0,4,1,1009057501,156,66,989460,208560,8d, ,104 007,10308, ,1009050018,12/5/1984,1, , ,17V1.1,7,243.7645933,1997.284099,1371740,11,0,7480,7480,9,2025,26.78800011,29.64777756,2.859777451,27.25325924,0.942369003,245.2793331 +7481,MN,496,18,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,62 PRINCE STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,1202 CONEY ISLAND AVE,2460,2354,2354,0,0,2354,0,0,0,0,2,1,1,0,1,47.33,54.92,47,54, ,0,Y,3,5,221400,1152450,0,0,2005,2005,0,SoHo-Cast Iron Historic District Extensi, ,0.96,0,5,6.5,1,1004960018,0,43,985146,202920,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,207.7096668,2676.994368,931050,0,0,7481,7481,11,2475,37.76699829,38.76888657,1.001888275,37.97562443,0.374611271,417.7318687 +7482,MN,553,35,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,111 WAVERLY PLACE,R6, , , , , , , , , ,N,A4,1,0, ,LOLA'S HOUSE LLC,2517,6218,0,4668,0,0,0,0,0,0,2,1,4,1,1,25.17,100,25,62, ,3,N,5,1,45534,343011,0,0,1900,2006,2008,Greenwich Village Historic District, ,2.47,2.43,0,4.8,1,1005530035,0,63,984529,206203,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,254.2222517,2560.438012,297477,8,0,7482,7482,11,2475,17.50333405,18.10599899,0.602664948,18.05121127,0.173253991,198.563324 +7483,MN,147,7506,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,58 THOMAS STREET,C6-2A, , , , , , , , , ,N,R1,2,0, ,58 THOMAS ST ASSOCIAT,2511,11223,0,11223,0,0,0,0,0,0,2,1,7,6,6,24,100,24,74, ,0,N,0,5,465015,1467231,0,0,2002,0,0,Tribeca South Historic District, ,4.47,6.02,6,6.5,1,1001477506,1249,33,982230,200352,12a, ,101S036,10104, ,1001470024,8/26/2002,1, , ,17V1.1,7,260.9983033,2596.980488,1002220,14,0,7483,7483,12,2700,12.94333363,17.78444481,4.841111183,13.38407437,1.332473688,160.6088924 +7484,MN,615,57,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,325 WEST 4 STREET,R6, , , , , , , , , ,N,C4,2,0,P,IRREVOCABLE TRUST OF,2613,9797,0,9797,0,0,0,0,0,0,2,2,5,18,18,27.5,95,28,48, ,3,Y,5,5,154800,1089000,0,0,1910,0,0,Greenwich Village Historic District, ,3.75,2.43,0,4.8,1,1006150057,0,77,983248,208093,8b,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,246.4330853,2603.295129,934200,8,0,7484,7484,6,1350,21.74111176,21.74111176,0,21.74111176,0,130.4466705 +7485,MN,413,28,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,292 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,WING FAI REALTY INC.,2200,4800,4800,0,0,3200,0,1600,0,0,2,1,2,0,2,25.17,87.5,25,87, ,3,N,5,2,211500,475650,0,0,1900,1988,0, , ,2.18,4,4,4,1,1004130028,0,18,986492,200788,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,227.6264208,2278.336915,264150,13,0,7485,7485,9,2025,39.72000122,39.72000122,0,39.72000122,0,357.480011 +7486,MN,540,23,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,100 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,240 SULLIVAN STREET,2375,14654,1900,12754,0,1900,0,0,0,0,2,1,7,23,26,25,95.08,25,90, ,2,N,3,2,391950,2487150,0,0,1900,0,0,South Village Historic District, ,6.17,3.44,0,6.5,1,1005400023,0,65,984357,205215,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,249.1754798,2669.209535,2095200,9,0,7486,7486,12,2700,22.5755558,22.5755558,0,22.5755558,0,270.9066696 +7487,MN,872,50,106,50,5001,2,2,10003,E005,13,14,5300,1,6,1A,140 EAST 17 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,R.A.S. REALTY LLC,7260,29796,0,29796,0,0,0,0,0,0,2,1,6,44,44,78.92,92,78,77, ,3,N,5,2,666000,3178350,0,0,1910,1987,0, , ,4.1,4,0,4,1,1008720050,0,50,987987,207160,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,341.0599443,7221.46168,2512350,5,0,7487,7487,31,6975,31.57888794,33.22777557,1.648887634,31.74974823,0.481567269,984.2421951 +7488,MN,617,40,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,230 WEST 13 STREET,C1-6, , , , , , , , , ,N,W8,8,0, ,"ZELNIK, SIMON B",2137,5400,5400,0,0,0,0,0,0,5400,2,1,3,0,8,40,51,40,45, ,3,Y,5,2,337500,938700,0,0,1915,1987,0,Greenwich Village Historic District, ,2.53,3.44,2,6.5,1,1006170040,0,77,983761,208285,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,189.923963,2142.1238,601200,8,0,7488,7488,8,1800,23.28222275,23.28222275,0,23.28222275,0,186.257782 +7489,MN,97,15,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,146 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,S3,4,0, ,146 BEEKMAN LLC,981,3892,1492,2400,0,1492,0,0,0,0,2,1,4,3,4,39.42,25,39,25, ,3,Y,5,5,81795,124185,0,0,1920,0,0,South Street Seaport Historic District, ,3.97,6.02,6,6.5,1,1000970015,0,1501,983566,196883,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,131.260635,1039.777343,42390,4,1,7489,7489,3,675,5.993332863,5.993332863,0,5.993332863,0,17.97999859 +7490,MN,822,67,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,48 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,DEZER PROPERTIES 48,4600,48520,48520,0,44020,4500,0,0,0,0,2,1,12,0,21,50,92,50,91, ,3,N,5,2,900000,5101650,0,0,1908,0,0,Ladies' Mile Historic District, ,10.55,10,10,10,1,1008220067,0,54,986211,209258,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,285.2349683,4630.864213,4201650,7,0,7490,7490,21,4725,34.23199844,37.88555527,3.653556824,34.40597734,0.778057278,722.5255241 +7491,MN,886,23,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,164 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,LEXINGTON AVENUE PROP,1422,4660,932,3728,0,932,0,0,0,0,2,1,4,4,5,19.75,80,20,55,E,3,N,5,5,225520,522379,0,0,1910,1969,0, , ,3.28,6.02,6,6.5,1,1008860023,0,72,989333,210396,8d, ,104 019,10307, ,1008860023,11/28/1988,1, , ,17V1.1,0,198.2853563,1667.209389,296859,10,0,7491,7491,8,1800,31.79955482,33.23199844,1.432443619,33.05294299,0.473736198,264.4235439 +7492,MN,701,23,104,99,1016,2,3,10001,E034,10,15,5500,1,4,2B,525 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,L9,6,0, ,P F J LTD,2469,7182,7182,0,0,2500,0,0,4682,0,2,1,3,0,3,25,98.75,25,94, ,3,N,5,0,102600,639900,0,0,1930,0,0, , ,2.91,7.52,6,10,1,1007010023,0,99,983530,213317,8b, ,105S015,10302,E-142,0, ,1, , ,17V1.1,0,253.6796706,2495.709524,537300,6,1,7492,7492,11,2475,13.46000004,14.18444443,0.724444389,13.52585862,0.208263119,148.7844448 +7493,MN,731,58,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,424 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,M3,8,0,X,RC CHUR ST MICHAEL,2900,14875,14875,0,0,0,0,0,0,14875,2,1,5,0,0,45,70,45,73, ,3,Y,5,2,246600,982350,246600,982350,1900,0,0, , ,5.13,10,10,10,1,1007310058,0,103,984965,213834,8d, ,105S018,10302, ,0, ,1, , ,17V1.1,0,237.4036641,3159.09152,735750,6,0,7493,7493,15,3375,43.60599899,45.4715538,1.86555481,43.74968796,0.463197004,656.2453194 +7494,MN,413,12,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,281 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,LAU & CHAN LLC,3850,16405,1260,15145,0,1260,0,0,0,0,2,1,6,22,25,44.08,87.5,44,74, ,3,N,5,2,118350,499950,0,0,1900,1985,0, , ,4.26,4,4,4,1,1004130012,0,18,986638,200963,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,267.3105933,3939.880689,381600,13,0,7494,7494,17,3825,39.72000122,39.72000122,0,39.72000122,0,675.2400208 +7495,MN,209,19,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,138 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,HB,5,0, ,CRI 11 HOWARD STREET,8380,112900,17048,0,0,17048,0,0,0,0,2,1,14,0,2,87.25,100.42,87,100, ,1,Y,3,2,5220000,18464850,0,0,1961,1992,2015, , ,13.47,0,5,6.5,1,1002090019,0,45,984182,201280,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,378.9467652,8902.621474,13244900,0,0,7495,7495,40,9000,11.84555531,15.24555492,3.399999619,12.18407753,0.949999298,487.363101 +7496,MN,635,21,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,25 BETHUNE STREET,R6, , , , , , , , , ,N,B3,1,0, ,"WOODS, EDWARD",1560,3520,0,2640,0,0,0,0,0,0,2,1,3,2,2,22,79.17,22,42, ,2,Y,5,1,33633,132931,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1006350021,0,79,982235,207709,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,204.1257337,1770.337329,99298,8,0,7496,7496,6,1350,13.34599972,16.44000053,3.094000816,14.29466661,1.14676636,85.76799965 +7497,MN,107,40,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,25 PECK SLIP,C6-2A, , , , , ,LM, , , ,N,S9,4,0, ,"PECK BZ, LLC",2127,10635,2127,8508,0,2127,0,0,0,0,2,1,5,4,6,41.33,51.75,41.33,51.75, ,0,Y,5,5,623481,708468,0,0,1900,2007,2009,South Street Seaport Historic District, ,5,6.02,6,6.5,1,1001070040,0,1501,983821,197283,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,187.0384501,2157.359344,84987,4,1,7497,7497,10,2250,5.993332863,6.452000141,0.458667278,6.316400003,0.207196996,63.16400003 +7498,MN,80,1,101,13,1008,2,1,10007,L010,1,15,7700,1,1, ,195 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,195 BROADWAY PROPERTY,36775,1052861,1052861,0,1049861,3000,0,0,0,0,2,1,29,0,64,154.25,275.62,154,275, ,3,Y,3,2,12420000,84658950,0,15346000,1916,1985,2005, ,AMERICAN TELEPHONE & TELEGRAPH COMP,28.63,10,15,15,1,1000800001,0,13,981543,198259,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,871.6108214,38137.67263,72239000,3,0,7498,7498,168,37800,28.48699951,33.88111115,5.394111633,28.70553129,0.889417099,4822.529257 +7499,MN,541,33,102,65,1005,2,1,10012,L009,6,15,5700,1,2,2A,249 SULLIVAN STREET,R7-2, , , , , , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,2500,10000,10000,0,0,0,0,0,0,10000,2,1,4,0,1,100,25.42,76,25, ,3,Y,3,0,303750,1220400,303750,1220400,1971,0,0,South Village Historic District, ,4,3.44,0,6.5,1,1005410033,0,65,984557,205392,12c, ,103 007,10207, ,1005410033,3/31/2004,1, , ,17V1.1,0,258.1623431,2696.698627,916650,9,0,7499,7499,11,2475,25.3022213,25.99300003,0.690778732,25.8774747,0.213021832,284.6522217 +7500,MN,372,52,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,298 EAST 2 STREET,R8A, , , , , , , , , ,N,E9,6,0, ,298 EAST VILLAGE OWNE,2649,2000,2000,0,0,2000,0,0,0,0,2,1,1,0,1,25,105.96,25,75,E,3,N,5,0,76950,194850,0,0,1964,0,0, , ,0.76,6,0,6,1,1003720052,0,2202,989978,201788,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,268.8131759,2870.232218,117900,1,1,7500,7500,13,2925,12.00399971,16.0233345,4.019334793,13.1800854,1.456304786,171.3411102 +7501,MN,201,4,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,60 MOTT STREET,C6-1,C6-1G, , , , , , , , ,Y,P5,8,0, ,CHINESE COMM CNTR INC,9422,49638,49638,0,3000,5200,0,0,0,41438,2,1,4,0,10,75.17,188.58,75,188.58, ,0,Y,4,2,805500,4300200,644400,3149589,1959,0,0, , ,5.27,3.44,6,6.5,1,1002010004,0,29,984792,200122,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,536.8861205,9761.667188,3494700,14,0,7501,7501,42,9450,33.0379982,34.55888748,1.520889282,33.11096119,0.295934028,1390.66037 +7502,MN,487,8,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,375 WEST BROADWAY,M1-5A, , , , , , , , , ,N,O5,5,0, ,ALEXANDER 375 WEST BR,11140,55710,55710,0,44510,11200,0,0,0,0,2,1,5,0,12,55.67,200.08,56,200, ,3,Y,4,2,2506500,12871350,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004870008,0,47,983616,202843,12a, ,101N069,10206, ,0, ,1,1, ,17V1.1,0,523.8123132,11586.5442,10364900,0,1,7502,7502,50,11250,10.61111164,14.5826664,3.971554756,13.31058203,0.579566211,665.5291014 +7503,MN,537,32,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,526 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,B9,1,0,X,THE RENEE AND CHAIM G,1875,7775,0,7775,0,0,0,0,0,0,2,1,4,2,2,25,75,25,75, ,3,N,5,2,135841,279585,135841,279585,1899,0,0,South Village Historic District, ,4.15,3.44,0,6.5,1,1005370032,0,65,984553,204690,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,211.6471361,2091.103348,143744,9,0,7503,7503,9,2025,27.39777756,28.69000053,1.292222977,27.54135789,0.406106502,247.872221 +7504,MN,163,18,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,69 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,WING WAH REALTY CORP,3700,22000,6000,16000,3000,3000,0,0,0,0,2,1,7,34,42,61,50,61,86, ,2,Y,3,2,333000,2204550,0,0,1945,1987,0, , ,5.95,3.44,6,6.5,1,1001630018,0,29,984694,199924,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,327.2037686,3925.508841,1871550,14,0,7504,7504,16,3600,33.4355545,33.64199829,0.206443787,33.5844717,0.040374984,537.3515472 +7505,MN,586,43,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,46 BEDFORD STREET,C2-6, , , , , , , , , ,N,K1,5,0,P,TALLULAH LLC,1508,1508,1508,0,0,1508,0,0,0,0,2,1,1,0,1,22.5,67,22.5,67, ,2,N,3,2,405000,1224450,0,0,1910,1989,0,Greenwich Village Historic District Exte, ,1,3.44,2,6.5,1,1005860043,0,67,983093,205447,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,182.5656586,1544.064802,819450,9,0,7505,7505,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +7506,MN,611,21,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,137 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K2,5,0, ,131 & 137 7TH AVE. SO,1050,2033,2033,0,0,2033,0,0,0,0,2,1,2,0,1,65.75,38.66,65.75,38.66, ,0,Y,5,5,87300,679050,0,0,1996,2011,0,Greenwich Village Historic District, ,1.94,3.44,2,6.5,1,1006110021,0,73,983726,206983,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,157.6257587,1036.271726,591750,8,0,7506,7506,5,1125,21.29555511,21.29555511,0,21.29555511,0,106.4777756 +7507,MN,508,25,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,65 EAST HOUSTON STREET,C6-3, , , , , ,LI, , , ,N,D7,4,0, ,ALMARK HOLDING CO,15955,92088,5000,87088,0,0,5000,0,0,0,2,1,10,162,163,101.5,172.6,172.6,101.6, ,2,Y,3,2,1350000,23115600,0,0,1991,0,0, , ,5.77,7.52,6,10,1,1005080025,0,43,985928,203152,12c, ,101N076,10206, ,1005080025,1/2/1992,1, , ,17V1.1,0,549.4703492,16916.4712,21765600,9,0,7507,7507,77,17325,44.87400055,51.84111023,6.96710968,45.83224294,1.904976642,3529.082706 +7508,MN,874,41,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,214 3 AVENUE,C1-9A, , , , , , , , , ,N,S2,4,0, ,BRADFORD KWONG,1080,2376,1093,1283,0,1093,0,0,0,0,2,1,3,2,3,18,60,18,36, ,0,N,5,5,77291,119005,0,0,1901,0,0, , ,2.2,10,2,10,1,1008740041,0,50,988301,207497,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,156.5927382,1060.84157,41714,5,0,7508,7508,6,1350,27.68333435,27.68333435,0,27.68333435,0,166.1000061 +7509,MN,875,67,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,17 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,H8,8,0, ,SCHOOL OF VISUAL ARTS,4433,18458,0,0,0,0,0,0,0,0,2,1,6,0,1,33.08,134,33,118.5, ,3,N,5,2,996750,1967400,0,0,1938,1987,0,Gramercy Park Historic District, ,4.16,3,0,3,1,1008750067,0,50,987971,207981,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,347.000498,4601.464899,970650,5,0,7509,7509,21,4725,30.81999969,31.8722229,1.052223206,30.89513206,0.237238205,648.7977734 +7510,MN,634,47,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,337 WEST 11 STREET,C1-6A,R6, , , , , , , , ,Y,D5,3,0, ,341 WEST 11TH LLC,7100,53500,0,53500,0,0,0,0,0,0,2,1,6,63,63,115.83,75,104,74, ,3,Y,3,2,1683000,6256350,0,0,1965,1982,0,Greenwich Village Historic District, ,7.54,4,2,4,1,1006340047,0,75,982016,207317,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,364.846116,7790.840948,4573350,9,0,7510,7510,35,7875,15.73999977,16.3544445,0.614444733,15.83212667,0.093740366,554.1244335 +7511,MN,271,54,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,160 HENRY STREET,R7-2, , , , , , , , , ,N,D9,3,0, ,FU HIN PROPERTY CORP.,2608,9976,0,9975,0,0,0,0,0,0,2,1,5,20,20,26.08,100,26,87, ,3,N,5,2,123750,401850,0,0,1910,1952,0, , ,3.83,3.44,0,6.5,1,1002710054,0,6,987195,199123,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,257.8100898,2667.821311,278100,16,0,7511,7511,12,2700,17.59499931,24.57777786,6.982778549,19.08930508,2.613145571,229.071661 +7512,MN,478,15,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,170 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,S3,4,0, ,170 ELIZABETH STREET,963,3333,665,2668,0,665,0,0,0,0,2,1,4,3,4,19.25,50,19,52, ,3,N,5,5,33986,123685,0,0,1900,2013,0, , 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000,10204, ,1004270001,3/16/2011,1, , ,17V1.1,0,875.6976285,35247.50923,14308200,9,0,7514,7514,155,34875,40.95600128,46.53777695,5.581775665,42.54208519,1.656037874,6594.023205 +7515,MN,283,7503,103,6,1000,2,1,10002,E015,7,14,7800,2,3, ,136 EAST BROADWAY,C6-2, , , , , , , , , ,N,RM,4,0, , ,4695,27853,12284,15569,2198,3170,0,0,0,6916,2,1,13,23,27,50,125.25,50,56.65, ,1,Y,0,5,585006,4659979,0,876645,2008,0,0, , ,5.93,6.02,6,6.5,1,1002837503,2186,6,986591,199452,12d, ,101N051,10107, ,1002830059,1/2/2013,1, , ,17V1.1,7,361.5416206,4871.410907,4074970,16,0,7515,7515,25,5625,32.80699921,40.35455704,7.547557831,34.87817307,2.301321355,871.9543266 +7516,MN,764,62,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,244 WEST 15 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,250 WEST 15TH STREET,10041,44800,0,44800,0,0,0,0,0,0,2,1,6,59,59,97.25,103.25,97,70, ,3,N,5,1,787500,4105800,54280,54280,1930,1983,0, , ,4.46,4,0,4,1,1007640062,0,81,983884,208839,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,403.7261558,10159.25621,3318300,7,0,7516,7516,47,10575,22.05333328,24.11777687,2.064443588,22.19210397,0.483276596,1043.028887 +7517,MN,645,8,102,79,1007,2,3,10014,L005,6,15,6100,1,2,3B,32 10 AVENUE,M1-5, , , , , , , , , ,N,G7,10,0,X,NYS DOT,5175,0,0,0,0,0,0,0,0,0,7,1,0,0,0,51.75,100,0,0, ,0,N,3,5,553950,553950,553950,553950,0,0,0, , ,0,0,5,6.5,1,1006450008,0,79,981897,209314,8b, ,103 039,10210, ,0, ,1,1,1,17V1.1,0,308.5594899,5395.937447,0,8,1,7517,7517,24,5400,9.302222252,12.7300005,3.427778244,10.25162037,0.895849105,246.0388889 +7518,MN,618,15,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,234 WEST 14 STREET,C6-2A, , , , , , , , , ,N,D7,4,0, ,234-236 W 14TH LLC,5163,17500,1500,16000,0,1500,0,0,0,0,2,1,5,30,31,50,103.25,50,59, ,3,N,5,2,463500,1509300,0,0,1926,2012,2012, , ,3.39,6.02,6,6.5,1,1006180015,0,77,983808,208531,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,316.9640174,5473.430661,1045800,8,0,7518,7518,25,5625,22.30444527,24.62111092,2.316665649,22.41631187,0.459760192,560.4077969 +7519,MN,473,1,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,462 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"462 BDWY LAND, L.P.",20150,120900,120900,0,100900,20000,0,0,0,0,2,2,6,0,9,100.08,200.92,98,200, ,3,N,3,2,4500000,17041050,0,0,1900,2011,0,SoHo-Cast Iron Historic District, ,6,0,5,6.5,1,1004730001,0,45,984224,201886,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,633.408835,22315.37693,12541100,0,0,7519,7519,99,22275,20.46333313,21.41399956,0.950666428,20.9942147,0.077661401,2078.427256 +7520,MN,874,49,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,142 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,"BRITTON, JOHN D",2162,5820,0,5820,0,0,0,0,0,0,2,1,4,1,1,23.5,92,23.5,60, ,2,N,5,2,144144,320524,0,0,1910,1994,2012,Gramercy Park Historic District, ,2.69,4,0,4,1,1008740049,0,50,988247,207573,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,242.5162021,2309.714669,176380,5,0,7520,7520,10,2250,27.68333435,29.31999969,1.636665344,27.98533421,0.606650236,279.8533421 +7521,MN,728,55,104,103,1009,2,3,10001,L021,10,15,5500,1,4,2A,432 WEST 31 STREET,C6-4, , , , , ,HY, , , ,N,S3,4,0, ,ARISA REALTY CO. X LL,3250,4150,1000,3150,0,1000,0,0,0,0,2,1,4,3,4,42,88.33,21,38,E,2,Y,5,5,95621,385573,0,0,1910,1987,0, , ,1.28,10,10,10,1,1007280055,0,103,984425,213238,8d, ,105S017,10302,E-390,0, ,1, , ,17V1.1,0,278.1387525,4249.911952,289952,6,0,7521,7521,19,4275,24.75444412,31.11100006,6.356555939,29.53928656,1.706731699,561.2464447 +7522,MN,473,42,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1F,182 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,ACORN MACHINERY CP AN,2920,17000,17000,0,0,2700,0,13600,0,700,2,1,6,5,6,30.25,100.25,30,96, ,3,N,5,2,405000,1700100,0,0,1910,1998,0,SoHo-Cast Iron Historic District Extensi, ,5.82,0,5,6.5,1,1004730042,0,45,984571,201865,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,264.1339138,3010.857063,1295100,0,0,7522,7522,13,2925,23.92666626,26.17399979,2.247333527,26.00112798,0.598845515,338.0146637 +7523,MN,280,29,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,63 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,JOCOWO LLC,1875,7000,5000,2000,1400,2800,0,800,0,0,2,1,5,3,5,25,75,25,68,E,3,N,5,2,96750,562500,0,0,1900,2009,0, , ,3.73,3.44,6,6.5,1,1002800029,0,8,985610,199201,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,206.0395045,1943.239891,465750,16,0,7523,7523,6,1350,29.04899979,29.04899979,0,29.04899979,0,174.2939987 +7524,MN,349,20,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,43 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,ST. CLARKS PROPERTIES,2500,9935,1200,8735,0,1200,0,0,0,0,2,1,5,16,18,25,100,25,82, ,3,N,5,2,270000,1026900,0,0,1910,0,0, , ,3.97,4,0,4,1,1003490020,0,3001,988434,201576,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,254.5632473,2574.645409,756900,1,0,7524,7524,12,2700,24.4422226,28.07111168,3.628889084,24.79616706,1.001997561,297.5540047 +7525,MN,614,25,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,244 WAVERLY PLACE,R6, , , , , , , , , ,N,C5,2,0, ,WAVERLY DEVELOPMENTAS,2074,6860,0,6860,0,0,0,0,0,0,2,1,3,13,13,35,59.25,35,50,E,1,Y,5,2,129150,1128150,0,0,1900,0,0,Greenwich Village Historic District, ,3.31,2.43,0,4.8,1,1006140025,0,77,983632,207685,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,191.4318229,2124.126342,999000,8,0,7525,7525,9,2025,26.80333328,28.85888863,2.055555344,27.19802475,0.750058536,244.7822227 +7526,MN,525,7502,102,65,4001,2,1,10012,L009,6,15,5700,2,2, ,496 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,OWNER / AGENT,3750,11989,6586,5403,0,6586,0,0,0,0,2,2,4,11,14,50,75,50,70, ,0,N,5,5,253350,1989001,2360,2360,1910,0,0,South Village Historic District, ,3.2,3.44,0,6.5,1,1005257502,212,65,984311,204313,12c, ,103 007,10206, ,1005250054,12/3/1985,1, , ,17V1.1,7,256.7010817,3934.180418,1735650,9,0,7526,7526,19,4275,23.62666702,25.41888809,1.792221069,23.72099445,0.40019737,450.6988945 +7527,MN,584,46,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,53 MORTON STREET,R6, , , , , , , , , ,N,D4,3,0, ,55 MORTON STREET TENA,7500,40180,0,40180,0,0,0,0,0,0,2,1,6,122,122,75.17,100,25,84, ,3,N,5,2,585000,4467600,0,0,1900,0,0,Greenwich Village Historic District, ,5.36,2.43,0,4.8,1,1005840046,0,67,982647,205630,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,357.0907864,7753.117742,3882600,9,0,7527,7527,35,7875,16.16111183,18.75744438,2.59633255,16.73585129,0.882788915,585.7547951 +7528,MN,697,8,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,547 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K1,5,0,P,"SECOND GENERATION, LL",5896,5891,5891,0,0,5891,0,0,0,0,2,1,1,0,1,59,98.75,59,98.75, ,2,N,5,0,265500,1337400,0,0,1926,1959,2000,West Chelsea Historic District, ,1,0,5,6.5,1,1006970008,0,99,982827,212529,8b, ,105S004,10301, ,0, ,1,1,1,17V1.1,0,326.5140584,6245.395765,1071900,2,1,7528,7528,27,6075,8.930000305,9.479999542,0.549999237,8.950370647,0.103868772,241.6600075 +7529,MN,875,11,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,111 EAST 19 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,"LRM PROPERTIES, LLC",1250,3520,0,3520,0,0,0,0,0,0,2,1,4,1,1,16.67,75,16.67,55, ,3,N,5,2,68132,182476,0,0,1910,0,0, , ,2.82,4,0,4,1,1008750011,0,50,987791,207985,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,192.9651526,1355.671051,114344,5,0,7529,7529,7,1575,30.81999969,30.81999969,0,30.81999969,0,215.7399979 +7530,MN,771,1,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,216 8 AVENUE,C1-6A, , , , , , , , , ,N,D7,4,0, ,"CHELSEA 8TH AVENUE, L",7000,32325,6000,26325,0,6000,0,0,0,0,2,1,6,32,39,70,100,70,88, ,2,N,3,2,792000,6270750,0,0,1910,1989,0, , ,4.62,4,2,4,1,1007710001,0,87,984527,210348,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,349.2425566,7402.582135,5478750,7,0,7530,7530,32,7200,21.99111176,23.20444298,1.213331223,22.05583388,0.25457728,705.786684 +7531,MN,478,16,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,172 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C4,2,0, ,"KOLODY, RUSSEL",934,2688,0,2688,0,0,0,0,0,0,2,1,4,4,4,18.75,49.83,19,36, ,3,N,5,5,31012,93828,0,0,1900,0,0, , ,2.88,6.02,6,6.5,1,1004780016,0,41,985732,201939,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,139.7359163,966.2505175,62816,0,0,7531,7531,4,900,38.05444717,40.66110992,2.60666275,38.70611286,1.12871808,154.8244514 +7532,MN,586,36,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,37 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0, ,LORRAINE WOODS,2500,10285,2057,8228,0,2057,0,0,0,0,2,1,5,8,9,25,100,25,84, ,3,N,5,2,166034,596352,0,0,1910,1987,0,Greenwich Village Historic District Exte, ,4.11,2.43,0,4.8,1,1005860036,0,67,983288,205331,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,246.115288,2308.837864,430318,9,0,7532,7532,9,2025,15.38333321,16.0577774,0.674444199,15.4918517,0.221165321,139.4266653 +7533,MN,508,44,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,233 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,ELIZABETH STREET FEE,4087,18081,3100,14981,0,3100,0,0,0,0,2,1,6,27,30,40.17,101.75,40,87, ,3,Y,5,2,196200,2625750,0,0,1910,1987,0, , ,4.42,6.02,6,6.5,1,1005080044,0,43,985841,202731,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,294.8738712,4184.484836,2429550,9,0,7533,7533,18,4050,43.06000137,43.06000137,0,43.06000137,0,775.0800247 +7534,MN,303,24,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,65 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,M1,8,0,X,GRACE FAITH CHURCH,1600,5400,5400,0,0,0,0,0,0,5400,2,1,4,0,1,25.25,64.42,25,62, ,2,Y,5,2,176400,512100,176400,512100,1910,1953,1992, , ,3.38,3.44,6,6.5,1,1003030024,0,16,985683,200409,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,181.2574444,1665.27952,335700,0,0,7534,7534,7,1575,41.4129982,41.4129982,0,41.4129982,0,289.8909874 +7535,MN,609,73,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,155 WEST 13 STREET,R6, , , , , , , , , ,N,B3,1,0, ,"TOMEI, AS TRUSTEE , A",2065,3920,0,2800,0,0,0,0,0,0,2,1,3,2,2,20,103.25,20,42,E,3,N,5,1,57519,165888,0,0,1899,0,0,Greenwich Village Historic District, ,1.9,2.43,0,4.8,1,1006090073,0,71,984430,208064,12c,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,251.263627,2032.336567,108369,8,0,7535,7535,9,2025,26.2994442,28.55888939,2.25944519,27.48574066,0.60497719,247.371666 +7536,MN,198,1,101,29,1001,2,1,10013,L001,5,15,7700,1,1,3B,120 WHITE STREET,C6-4, , , , , , , , , ,N,Y3,8,1,C,DEPARTMENT OF CORRECT,53351,236142,236142,0,0,5900,0,0,0,230242,2,1,14,0,1,246,220,128.75,91.17,E,0,Y,1,5,8865000,46219950,8865000,46219950,1985,0,0, , ,4.43,10,10,10,1,1001980001,0,29,984206,200501,12c, ,101N048,10105, ,1001980001,12/30/2002,1, , ,17V1.1,0,805.1390672,40307.00613,37355000,14,0,7536,7536,180,40500,13.85000038,21.05444527,7.204444885,15.02017637,1.181202198,2703.631747 +7537,MN,698,32,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,279 10 AVENUE,C6-3,M1-5, , , , ,WCH, , , ,Y,G6,10,0, ,26-10 CORP,7075,0,0,0,0,0,0,0,0,0,7,2,0,0,0,59.25,104,0,0, ,0,Y,3,5,733500,733500,0,0,0,0,0, , ,0,7.52,6,10,1,1006980032,0,99,983419,212470,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,433.3684985,8179.61558,0,2,1,7537,7537,39,8775,12.38555527,14.68166637,2.296111107,13.4311396,0.513131993,523.8144445 +7538,MN,799,25,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,125 WEST 23 STREET,C6-3X,M1-6, , , , , , , , ,Y,M1,8,0, ,"127 WEST 23RD OWNER,",12343,21183,21183,0,0,0,0,0,0,21183,2,1,2,0,1,75,197,60,190, ,1,Y,4,2,2727000,4277250,2727000,4064400,1920,0,0, , ,1.72,9,6,9,1,1007990025,0,91,986032,210204,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,572.7485727,12581.9672,1550250,2,0,7538,7538,55,12375,29.26199913,34.98300171,5.721002579,29.36601736,0.764374753,1615.130955 +7539,MN,527,86,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,17 DOWNING STREET,R6, , , , , , , , , ,N,C4,2,0, ,D R M T REALTY CO,1965,8065,0,8065,0,0,0,0,0,0,2,1,5,20,20,24.5,79.83,25,65, ,3,N,5,2,130500,1090800,0,0,1910,1983,0,Greenwich Village Historic District Exte, ,4.1,2.43,0,4.8,1,1005270086,0,67,983402,205129,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,213.4268847,2049.457311,960300,9,0,7539,7539,10,2250,15.38333321,16.66222191,1.278888702,15.57155542,0.405621937,155.7155542 +7540,MN,195,7501,101,31,1004,2,1,10013,L001,5,15,7700,3,1, ,81 WALKER STREET,C6-2A, , , , , , , , , ,N,RB,5,0, , ,3597,18020,18020,0,18020,0,0,0,0,0,2,1,6,0,6,0.08,0,36,93, ,0,N,0,5,181797,1445399,0,0,1920,0,0,Tribeca East Historic District, ,5.01,6.02,6,6.5,1,1001957501,1202,31,983760,200880,12a, ,11N 047,10105,E-208,1001950011,11/27/2001,1, , ,17V1.1,7,283.1508345,3849.518179,1263600,14,0,7540,7540,17,3825,15.13333321,16.31666756,1.183334351,15.20294111,0.278431612,258.4499989 +7541,MN,583,7,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,432 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,ARCHIMEDEAN SOLUTIONS,1760,4424,1106,3318,0,1106,0,0,0,0,2,1,4,3,4,22,80,22,80, ,3,N,5,5,208821,478185,0,0,1920,1960,0,Greenwich Village Historic District, ,2.51,3.44,2,6.5,1,1005830007,0,67,982455,205482,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,210.5258382,1839.734066,269364,9,0,7541,7541,7,1575,15.38333321,19.07888985,3.695556641,17.0149844,1.589571025,119.1048908 +7542,MN,543,53,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,139 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,W9,8,0,X,NEW YORK UNIVERSITY,8431,49757,49757,0,0,0,0,0,0,49757,2,1,6,0,1,96.5,86,97,85,E,3,Y,5,2,2430000,6672150,2430000,6672150,2010,0,0,South Village Historic District, ,5.9,3.44,0,6.5,1,1005430053,0,65,984242,205557,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,378.8270192,8817.823149,4242150,9,0,7542,7542,40,9000,18.19555664,22.57777786,4.382221222,19.24927564,1.73343558,769.9710255 +7543,MN,294,21,103,16,5006,2,1,10002,E015,7,14,7400,1,3,2B,2 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,SUN WOOHING INC,2203,9916,2120,7796,0,2120,0,0,0,0,2,1,5,12,14,59.08,52.25,58.75,47,E,0,Y,3,2,150750,538200,0,0,1900,0,0, , ,4.5,6.02,6,6.5,1,1002940021,0,16,986497,199610,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,207.561822,2526.946723,387450,16,0,7543,7543,12,2700,39.21699905,41.09666824,1.879669189,39.37363815,0.519513119,472.4836578 +7544,MN,738,7503,104,83,2002,2,3,10014,L012,10,15,5600,1,4, ,333 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,R1,2,0, , ,3125,21059,0,21059,0,0,0,0,0,0,2,1,10,9,9,25,125,0,0, ,0,N,0,5,53913,1997084,0,695869,1900,0,0, , ,6.74,6.02,6,6.5,1,1007387503,1978,83,983154,209131,8b, ,103 036,10303, ,1007380017,4/14/2009,1, , ,17V1.1,7,312.4672671,3277.96568,1943170,7,0,7544,7544,14,3150,16.15333366,16.15333366,0,16.15333366,0,226.1466713 +7545,MN,404,35,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,341 EAST 10 STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,PARK EAST TENTH LLC,1750,6685,1000,5685,0,1000,0,0,0,0,2,1,5,8,10,25,70,25,50, ,3,N,5,2,19652,112944,0,0,1900,1986,2014,East 10th Street Historic District, ,3.82,4,0,4,1,1004040035,0,34,989774,204192,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,191.4865325,1663.853883,93292,12,1,7545,7545,7,1575,12.53199959,12.93111134,0.399111748,12.67765072,0.174338991,88.74355507 +7546,MN,593,36,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,24 CHRISTOPHER STREET,R6, , , , , , , , , ,N,D1,3,0, ,ELK 30 CHRISTOPHER LL,7350,48531,1456,47075,0,0,0,0,0,1456,2,1,7,69,69,94,79.75,94,80, ,3,Y,3,2,2065500,7668900,0,0,1930,0,0,Greenwich Village Historic District, ,6.6,2.43,0,4.8,1,1005930036,0,71,983995,206586,12c,Y,103 017,10208, ,0, ,1, , ,17V1.1,0,365.4103491,7961.423106,5603400,8,0,7546,7546,36,8100,17.50333405,20.10777855,2.604444504,17.71291738,0.645674048,637.6650257 +7547,MN,594,108,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,219 HUDSON STREET,C6-2A, , , , , , , , , ,N,G6,10,0,P,HUDSON CANAL LLC,4270,3510,0,0,0,0,0,0,0,0,2,1,1,0,0,57.25,31.58,0,16, ,0,Y,3,5,472500,622800,0,0,1910,1949,0, , ,0.82,6.02,6,6.5,1,1005940108,0,37,981988,203100,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,346.7091045,4134.804463,150300,0,1,7547,7547,18,4050,7.988888741,9.385555267,1.396666527,8.718333297,0.543442145,156.9299994 +7548,MN,636,60,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,666 WASHINGTON STREET,C1-7, , , , , , , , , ,N,C6,2,0,X,BRG WEST VILLAGE LLC,10252,37020,0,37020,0,0,0,0,0,0,2,2,5,23,23,200.92,52.42,200.92,52.08, ,0,Y,3,2,450000,1394550,450000,1394550,1975,0,0, , ,3.61,6.02,2,6.5,1,1006360060,0,75,981834,206588,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,512.8182064,10116.30732,944550,9,1,7548,7548,45,10125,9.192000389,18.28333473,9.091334343,11.14487928,2.91043802,501.5195675 +7549,MN,373,60,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,291 EAST 3 STREET,R8B, , , , , , , , , ,N,D5,3,0,P,291 EAST THIRD STREET,1988,11160,0,11160,0,0,0,0,0,0,2,1,6,12,12,20.67,96.17,20.67,90, ,0,N,5,5,180000,1514250,0,0,1900,2002,0, , ,5.61,4,0,4,1,1003730060,0,2601,989889,202144,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,237.1421835,1978.452331,1334250,1,0,7549,7549,9,2025,13.10900021,13.26777744,0.158777237,13.12664212,0.049898872,118.1397791 +7550,MN,885,31,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,133 EAST 29 STREET,R8B, , , , , , , , , ,N,W2,8,0,P,ADERETH EL CONGR,1978,3260,1630,1630,0,0,0,0,0,1630,2,1,4,2,4,20,98.75,20,40, ,3,N,5,2,210600,403200,210600,403200,1910,0,0, , ,1.65,4,0,4,1,1008850031,0,72,989405,210062,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,242.6428715,2019.096277,192600,11,0,7550,7550,10,2250,30.56200027,30.56200027,0,30.56200027,0,305.6200027 +7551,MN,897,28,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,214 EAST 16 STREET,R7B, , , , , , , , , ,N,W9,8,0,X,NEW YORK QUARTERLY ME,1988,6916,6916,0,0,0,0,6916,0,0,2,1,4,0,1,19.25,103.25,19.25,60,E,3,N,5,2,166050,820350,166050,820350,1901,2003,0,Stuyvesant Square Historic District, ,3.48,3,0,3,1,1008970028,0,48,988238,206731,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,250.1319511,2057.868685,654300,5,0,7551,7551,10,2250,27.7444458,30.92777824,3.183332443,28.50277882,1.222654293,285.0277882 +7552,MN,846,4,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,103 5 AVENUE,C6-4M, , , , , , , , , ,N,O6,5,0,P,PIERREPONT BUILDINGCO,2360,33302,21602,11700,11700,7562,0,2340,0,0,2,1,8,3,9,29.5,80,30,78,E,3,N,5,2,1561500,3834000,0,0,1926,1989,0,Ladies' Mile Historic District, ,14.11,10,10,10,1,1008460004,0,52,986543,208195,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,226.4006513,2479.928334,2272500,7,0,7552,7552,11,2475,39.36555481,39.99666595,0.631111145,39.42292855,0.181431698,433.6522141 +7553,MN,890,7501,106,72,7000,2,2,10016,L007,17,14,5300,2,6, ,155 EAST 34 STREET,C1-9, , , , , , , , , ,N,RM,4,0,P,WARREN HOUSE CONDOMIN,23337,259254,38528,220726,0,18879,16361,3288,0,0,2,1,19,330,335,249.17,72.29,0,0, ,0,Y,5,5,5824354,38126706,274218,671176,1961,1962,0, , ,11.11,10,2,10,1,1008907501,340,72,990199,211138,8d, ,104 031,10307, ,1008900042,12/25/1986,1, , ,17V1.1,7,711.0257682,23669.23421,32302400,10,0,7553,7553,106,23850,30.01999855,37.79100037,7.771001816,37.71127289,0.753465166,3997.394926 +7554,MN,482,7503,102,45,1001,2,1,10013,E055,5,15,6800,1,2, ,430 BROOME STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2229,10822,3151,7671,0,3151,0,0,0,0,2,1,5,4,5,0.05,0,25,85, ,3,N,0,5,161481,1320290,0,0,1900,0,0, , ,4.86,0,5,6.5,1,1004827503,2387,45,984590,202156,12c, ,11N 073,10206, ,1004820044,4/17/2014,1, , ,17V1.1,7,238.6149896,2486.701311,1158810,0,0,7554,7554,11,2475,28.84111023,30.94300079,2.101890564,30.49658637,0.75065254,335.46245 +7555,MN,818,22,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,23 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C6,2,0, ,23 WEST 16 ST HOUSING,2300,6825,0,6825,0,0,0,0,0,0,2,1,3.5,4,4,25,92,25,73,E,3,N,5,1,109220,466609,4720,4720,1925,0,0, ,23 WEST 16TH STREET BUILDING (PART,2.97,6.02,6,6.5,1,1008180022,0,54,985852,208229,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,239.509239,2311.688326,357389,7,0,7555,7555,9,2025,31.11599922,33.66333389,2.547334671,31.39903641,0.800550053,282.5913277 +7556,MN,886,11,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,113 EAST 30 STREET,C4-5A, , , , , , , , , ,N,M9,8,0, ,FIRST ZEN INST AMER I,1880,5078,5078,0,0,0,0,0,0,5078,2,1,4,0,1,19.17,98.75,19.17,60,E,3,Y,5,1,228150,441900,0,0,1890,0,0, , ,2.7,4,4,4,1,1008860011,0,72,989131,210506,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,251.2026034,2167.632995,213750,10,0,7556,7556,10,2250,33.23199844,33.23199844,0,33.23199844,0,332.3199844 +7557,MN,717,7503,104,89,3000,2,3,10011,E003,10,15,5600,1,4, ,410 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,R6,2,0, , ,2227,4420,0,4420,0,0,0,0,0,0,2,1,3.5,3,3,21.42,104,22,42, ,3,N,5,5,11661,73035,1550,1550,1910,1964,0,Chelsea Historic District, ,1.98,3,0,3,1,1007177503,1748,89,983266,210601,8b, ,103 042,10302, ,1007170049,9/14/2007,1, , ,17V1.1,7,255.1409026,2165.259511,61374,7,1,7557,7557,10,2250,9.621110916,15.30888939,5.687778473,11.97705545,2.390994884,119.7705545 +7558,MN,724,23,104,97,2002,2,3,10001,E003,10,15,5500,1,4,2B,281 9 AVENUE,R8, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,65600,85085,85085,0,0,0,0,0,0,85085,2,1,3,0,2,257.5,262.5,53,279, ,1,Y,3,2,8550000,14996700,8550000,14996700,1960,1985,0, , ,1.3,6.02,0,6.5,1,1007240023,0,97,984186,212160,8d, ,105S006,10302, ,0, ,1, , ,17V1.1,0,1048.749655,66721.91755,6446700,2,0,7558,7558,297,66825,18.2966671,23.48555565,5.18888855,19.40826988,1.501418619,5764.256153 +7559,MN,56,1,101,13,1004,2,1,10006,E010,1,15,7700,1,1, ,140 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,H2,5,0, ,130 OWNERS GROUP,10927,181297,8693,0,0,8693,0,0,0,0,2,1,21,0,1,78.25,158.67,158,78, ,3,Y,3,2,9810000,29506050,0,14482800,1931,2008,0, , ,16.59,10,15,15,1,1000560001,0,13,980376,197893,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,486.8512895,11511.0198,19696100,15,1,7559,7559,51,11475,7.869999886,7.869999886,0,7.869999886,0,401.3699942 +7560,MN,902,20,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,231 EAST 21 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,26/32 J LLC,4543,18102,3017,15085,0,3017,0,0,0,0,2,1,6,24,26,46,98.75,46,82, ,3,N,5,2,217350,2987550,0,0,1920,1986,0, , ,3.98,4,0,4,1,1009020020,0,64,989088,207838,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,296.9173806,4690.125491,2770200,5,0,7560,7560,20,4500,19.86555672,20.91666603,1.051109314,19.94750099,0.246738765,398.9500198 +7561,MN,180,14,101,39,4006,2,1,10013,E007,1,15,7700,1,1,3A,13 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,JAY HOUSING CORP,2388,13250,0,13250,0,0,0,0,0,0,2,1,5,5,5,25,95.58,25,95,E,3,Y,5,2,704208,946400,2360,2360,1915,1986,0,Tribeca West Historic District, ,5.55,6.02,6,6.5,1,1001800014,0,39,981556,200948,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,246.6316664,2499.846171,242192,14,0,7561,7561,11,2475,15.85299969,15.85299969,0,15.85299969,0,174.3829966 +7562,MN,448,10,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,52 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"1637 ABBOT KINNEY, LL",2499,9425,0,9425,0,0,0,0,0,0,2,1,5,20,20,25,99.96,25,88, ,3,N,5,1,225450,1431000,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004480010,0,38,987690,204330,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,255.6508545,2575.932209,1205550,12,0,7562,7562,10,2250,27.1590004,27.1590004,0,27.1590004,0,271.590004 +7563,MN,374,37,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,45 AVENUE D,R8A, , , ,C1-5, , , , , ,N,N2,8,0,P,CHRISTIAN HERALD HDFC,7040,16386,16386,0,0,0,0,0,0,14056,2,2,6,35,35,88,80,44,67, ,0,N,5,0,422550,3640050,422550,3640050,1920,1990,0, , ,2.33,6,0,6,1,1003740037,0,2601,990395,202196,12c, ,102 014,10202,E-216,1003740037,2/27/1990,1, , ,17V1.1,0,342.6630875,7328.349952,3217500,1,1,7563,7563,33,7425,11.67399979,13.79555511,2.121555328,11.79029609,0.374640243,389.079771 +7564,MN,187,4,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,182 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,"THIERRY W. DESPONT,LT",1993,8490,6792,1698,6792,0,0,0,0,0,2,1,5,1,2,21,87.83,21,88, ,0,Y,5,5,156600,767250,0,0,1915,1998,0,Tribeca West Historic District, ,4.26,6.02,6,6.5,1,1001870004,0,39,981636,201438,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,218.0777274,1855.500233,610650,14,0,7564,7564,7,1575,17.89999962,17.89999962,0,17.89999962,0,125.2999973 +7565,MN,924,23,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,337 EAST 18 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,LEO SCHREIBER,1840,3666,0,3666,0,0,0,0,0,0,2,1,3,5,5,20,92,20,45,E,3,N,5,5,212525,356785,94327,94327,1910,0,0, , ,1.99,3,0,3,1,1009240023,0,48,989375,206838,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.7975012,1923.356906,144260,5,0,7565,7565,9,2025,14.83555603,16.68222237,1.846666336,15.38748169,0.65959935,138.4873352 +7566,MN,408,7,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,82 ORCHARD STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,82 ORCHARD STREET (US,1320,3580,2520,1060,0,2520,0,0,0,0,2,1,3,2,3,22,60,22,60,E,3,N,5,2,123750,963000,0,0,1920,2007,0, , ,2.71,4,4,4,1,1004080007,0,18,986969,200793,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,166.4917845,1279.749037,839250,13,0,7566,7566,5,1125,36.36111069,36.36111069,0,36.36111069,0,181.8055534 +7567,MN,742,76,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,136 9 AVENUE,C2-6A, , , , , , , , , ,N,S5,4,0, ,136 NINTH AVENUE CORP,2233,4286,800,3486,0,800,0,0,0,0,2,1,4,6,7,22.33,100,22,58, ,3,N,5,2,86747,404604,0,0,1910,2000,0, , ,1.92,4,2,4,1,1007420076,0,89,983419,210204,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,244.2662725,2220.680682,317857,7,0,7567,7567,10,2250,15.59444427,17.52777863,1.933334351,15.9366889,0.647526471,159.366889 +7568,MN,493,7501,102,43,2001,2,1,10012,L020,5,15,6800,1,2, ,211 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, ,ALLEN PLAZA ASSOCIATI,5264,24106,4800,19306,0,4800,0,0,0,0,2,1,7,15,16,47.5,107,100,47, ,2,Y,3,5,314999,6934501,0,2629519,2007,0,0, , ,4.58,6.02,6,6.5,1,1004937501,2021,43,985806,202529,12c, ,101N076,10206, ,1004930020,1/6/2010,1, , ,17V1.1,7,329.2582274,5635.110758,6619500,0,0,7568,7568,25,5625,42.74333191,46.02000046,3.276668549,44.2827594,1.497118429,1107.068985 +7569,MN,348,20,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,161 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,RIVINGTON REALTY LLC,2500,8875,1200,7675,0,1200,0,0,0,0,2,1,5,16,18,25,100,25,76,E,3,N,5,2,153000,883800,0,530579,1920,1988,0, , ,3.55,4,0,4,1,1003480020,0,1402,988302,201212,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,256.0963386,2576.192147,730800,13,0,7569,7569,12,2700,24.76333427,24.76333427,0,24.76333427,0,297.1600113 +7570,MN,239,7501,102,41,2001,2,1,10013,L006,5,15,6800,1,2, ,80 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, ,ROYAL ELIZABETH CONDO,17766,81961,28002,53959,0,28002,0,0,0,0,2,1,4,80,81,0.4,0,0,0, ,0,N,5,5,2399397,8424901,176060,318931,1929,0,0, , ,4.61,6.02,6,6.5,1,1002397501,744,41,985382,200786,12c, ,101N049,10105, ,1002390001,2/9/1991,1, , ,17V1.1,7,584.2359477,18723.57936,6025500,0,0,7570,7570,82,18450,31.48699951,40.20333481,8.716335297,31.89899547,1.657097339,2615.717628 +7571,MN,939,28,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,347 EAST 33 STREET,C1-9A,R8A, , , , , , , , ,Y,D8,3,1, ,"RS COMMERCIAL POWELL,",13770,213549,28000,185549,0,18000,10000,0,0,0,2,1,23,209,212,25,98.75,113,125, ,1,N,5,2,3762000,28098450,0,0,1998,0,0, , ,15.51,10,2,10,1,1009390028,0,70,991397,210143,8d, ,104 023,10309,E-62,1009390028,3/25/1998,1,1,1,17V1.1,0,478.4888364,13935.93751,24336500,10,1,7571,7571,62,13950,10.03999996,13.05111122,3.011111259,10.09541215,0.382195953,625.9155531 +7572,MN,423,1,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,129 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,TZU TAI TSAO CORP,1896,9396,9396,0,7500,1896,0,0,0,0,2,1,5,0,6,25,75.17,25,75, ,3,Y,3,2,256500,1946700,0,4500,1900,2005,0, , ,4.96,3.44,6,6.5,1,1004230001,0,18,985779,201037,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,207.0750157,2088.112541,1690200,0,0,7572,7572,9,2025,34.16999817,34.16999817,0,34.16999817,0,307.5299835 +7573,MN,612,16,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,30 PERRY STREET,C2-6,R6, , , , , , , , ,Y,C5,2,0, ,"30 PERRY STREET, LLC",1985,4320,0,4320,0,0,0,0,0,0,2,1,3,8,8,20.83,95,21,68, ,3,N,5,1,59178,415281,0,0,1900,2014,2005,Greenwich Village Historic District, ,2.18,3.44,2,6.5,1,1006120016,0,73,983622,207238,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,241.5686006,2234.098144,356103,8,0,7573,7573,10,2250,24.50222206,25.74333382,1.241111755,24.67733326,0.376788481,246.7733326 +7574,MN,450,43,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,63 ST MARKS PLACE,R8B, , , , , , , , , ,N,C5,2,0, ,"63 ST. MARKS PLACE,",2348,6250,0,6250,0,0,0,0,0,0,2,1,5,13,13,25,93.92,25,60, ,3,N,5,2,211500,951300,0,0,1900,0,0, , ,2.66,4,0,4,1,1004500043,0,38,988086,204581,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,230.105676,2213.979292,739800,12,0,7574,7574,9,2025,25.4810009,27.79111099,2.310110092,26.18471654,0.949964073,235.6624489 +7575,MN,634,23,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,760 GREENWICH STREET,R6, , , , , , , , , ,N,D4,3,0, ,100 BANK ST OWNERS CO,9020,45426,0,45426,0,0,0,0,0,0,2,1,6,55,55,117.17,117,110,99, ,3,Y,3,2,846000,4907250,244969,244969,1956,1984,0,Greenwich Village Historic District, ,5.04,2.43,0,4.8,1,1006340023,0,75,982324,207491,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,403.4150673,9714.031831,4061250,8,0,7575,7575,43,9675,14.98200035,19.6511116,4.669111252,16.11622974,0.977724882,692.997879 +7576,MN,590,149,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,35 CORNELIA STREET,R7-2, , , ,C1-5, , , , , ,N,A5,1,0, ,"CHYNN, MARIE NOELLE",405,1372,0,1029,0,0,0,0,0,0,2,1,3,1,1,19.95,17.17,19,17, ,3,N,5,1,17358,77757,0,0,1900,1992,0,Greenwich Village Historic District Exte, ,3.39,3.44,0,6.5,1,1005900149,0,67,983509,205714,12a, ,103 005,10208, ,1005900001,7/28/2006,1, , ,17V1.1,0,77.80322906,375.9142028,60399,9,0,7576,7576,2,450,17.79000092,20.11444473,2.324443817,18.95222282,1.162221909,37.90444565 +7577,MN,92,14,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,49 ANN STREET,C6-4, , , , , ,LM, , , ,N,H2,5,0, ,FKAL 49 ANN STREET LL,4581,56790,0,0,0,0,0,0,0,0,2,1,18,0,1,57.17,86,57,58, ,0,Y,5,2,1237050,8423100,0,0,2012,0,0, , ,12.4,10,10,10,1,1000920014,0,1501,982400,198096,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,283.3824339,4766.92911,7186050,4,0,7577,7577,23,5175,34.5909996,34.5909996,0,34.5909996,0,795.5929909 +7578,MN,527,51,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,178 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,178 WEST HOUSTON REAL,2600,12356,825,11531,0,825,0,0,0,0,2,1,6,20,22,26,100,26,82, ,3,N,5,2,179550,2014650,0,0,1900,1987,2015,Greenwich Village Historic District Exte, ,4.75,3.44,0,6.5,1,1005270051,0,67,983397,204815,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,260.6765033,2812.209268,1835100,9,0,7578,7578,11,2475,15.38333321,18.94555473,3.562221527,16.25707037,1.434044605,178.827774 +7579,MN,770,17,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,243 WEST 20 STREET,R8B, , , , , , , , , ,N,W9,8,0,C,DCAS,1875,3750,3750,0,0,0,0,0,0,3750,2,1,3,0,0,25,75,25,50, ,0,N,5,5,263700,480150,263700,480150,1930,0,0, , ,2,4,0,4,1,1007700017,0,87,984602,210028,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,207.0339806,2015.40311,216450,7,0,7579,7579,9,2025,22.20999908,25.9533329,3.743333817,22.63614739,1.17315296,203.7253265 +7580,MN,577,71,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,55 WEST 13 STREET,C6-2, , , , , , , , , ,N,O3,5,0,X,NEW SCHOOL-SOCL RESEA,10325,86117,86117,0,86117,0,0,0,0,0,2,2,9,0,6,100,103.25,100,103, ,0,N,5,5,1071000,9033300,1071000,9033300,1900,0,0, , ,8.34,6.02,6,6.5,1,1005770071,0,63,985221,207625,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,411.6154026,10572.5538,7962300,8,0,7580,7580,46,10350,29.79111099,30.09499931,0.303888321,30.08839305,0.044316192,1384.06608 +7581,MN,397,7501,103,30.02,1001,1,2,10009,E028,9,14,6600,3,3, ,175 EAST 2 STREET,R8B, , , , , , , , , ,N,R4,3,0, ,175 EAST 2ND STREET C,5407,14960,0,14960,0,0,0,0,0,0,2,1,5,21,21,53.58,100.92,0,0, ,0,N,5,5,76501,2021851,13234,61937,1920,1986,0, , ,2.77,4,0,4,1,1003977501,489,3002,988495,202428,12c, ,102 012,10203, ,1003970020,2/8/1988,1, , ,17V1.1,7,315.1958156,5553.262213,1945350,1,0,7581,7581,24,5400,19.55999947,23.14111137,3.581111908,19.70921246,0.715600391,473.0210991 +7582,MN,764,67,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,254 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,BAY ASSOCIATES,2581,12276,0,12276,0,0,0,0,0,0,2,1,6,24,24,25,103.25,25,88, ,3,N,5,2,245700,1299600,0,0,1928,1970,0, , ,4.76,4,0,4,1,1007640067,0,81,983830,208868,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,264.5251612,2766.655798,1053900,7,0,7582,7582,12,2700,22.05333328,22.05333328,0,22.05333328,0,264.6399994 +7583,MN,463,23,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,28 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"ST. MARKS ASSETS, INC",3120,7700,1200,6500,0,1200,0,0,0,0,2,1,4,9,10,26,120,26,68,E,3,N,5,1,110429,520182,0,0,1920,0,0, , ,2.47,4,0,4,1,1004630023,0,38,987395,204773,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,294.1035475,3016.846104,409753,12,0,7583,7583,14,3150,34.15777969,36.32222366,2.16444397,34.42968423,0.673299639,482.0155792 +7584,MN,771,7501,104,87,4000,2,3,10011,L012,10,15,5600,1,4, ,238 WEST 22 STREET,R8B, , , , , , , , , ,N,R6,2,0, , ,2173,4158,0,4158,0,0,0,0,0,0,2,1,4,2,2,22,98.75,0,0, ,0,N,5,5,28512,151112,1550,1550,1931,0,0, , ,1.91,4,0,4,1,1007717501,809,87,984918,210262,8d, ,103 034,10304, ,1007710059,11/12/1992,1, , ,17V1.1,7,243.020922,2092.339874,122600,7,0,7584,7584,9,2025,22.72999954,23.90444374,1.174444199,23.09357982,0.461228506,207.8422184 +7585,MN,344,44,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,120 RIDGE STREET,R7A, , , , , , , , , ,N,D1,3,0,P,120 RIDGE REALTY GROU,4375,14960,0,14960,0,0,0,0,0,0,2,1,6,22,22,50,87.5,50,80, ,0,Y,5,5,153000,1907550,0,0,2001,0,0, , ,3.42,4,0,4,1,1003440044,0,2201,988996,201257,12c, ,102 005,10201, ,1003440044,1/2/2002,1, , ,17V1.1,0,276.0174976,4349.044045,1754550,1,0,7585,7585,19,4275,17.48900032,22.06444359,4.575443268,19.0458891,1.986595479,361.8718929 +7586,MN,610,53,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2K,21 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S9,4,0, ,GREENWICH-TENTH COMPA,2158,4837,1400,3437,0,1400,0,0,0,0,2,2,3,4,7,26.17,65,25,48, ,3,Y,3,5,478375,962280,0,0,1910,0,0,Greenwich Village Historic District, ,2.24,3.44,2,6.5,1,1006100053,0,71,984200,206891,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,200.3322122,2299.523698,483905,8,0,7586,7586,9,2025,18.18777847,20.60333252,2.415554047,18.70148193,0.962298152,168.3133373 +7587,MN,530,12,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,9 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,S5,4,0,P,"BONG, LLC.",2600,16660,4760,11900,0,4760,0,0,0,0,2,1,6,5,6,26,100,26,100, ,3,N,5,5,188337,815707,0,0,1900,0,0,NoHo Historic District, ,6.41,0,5,6.5,1,1005300012,0,5502,985896,204222,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,259.2491503,2647.951416,627370,9,0,7587,7587,11,2475,40.02500153,40.02500153,0,40.02500153,0,440.2750168 +7588,MN,180,7506,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,13 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2400,11428,2986,8442,0,0,0,0,0,2986,2,1,4.5,1,2,0.05,0,0,0, ,0,N,0,5,22597,203578,0,0,1920,0,0,Tribeca West Historic District, ,4.76,6.02,6,6.5,1,1001807506,915,39,981549,201049,12a, ,101S037,10105, ,1001800027,12/14/1995,1, , ,17V1.1,7,247.7151756,2448.624317,180981,14,0,7588,7588,11,2475,15.85299969,17.56688881,1.713889122,16.00880779,0.49270848,176.0968857 +7589,MN,406,12,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,512 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CRISARI REALTY INC,2581,9150,0,9150,0,0,0,0,0,0,2,1,5,21,21,25,103.25,25,50,E,3,N,5,2,90000,982800,0,0,1900,0,0, , ,3.55,4,0,4,1,1004060012,0,34,989711,204958,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.5403077,2643.361959,892800,12,0,7589,7589,11,2475,13.0880003,15.25177765,2.163777351,13.44802041,0.767722957,147.9282246 +7590,MN,306,28,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,81 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,81 ELDRIDGE REALTY CO,2517,11376,2896,8480,0,2896,0,0,0,0,2,1,6,20,21,25.17,100,25,85, ,2,N,5,2,135000,522450,0,0,1910,0,0, , ,4.52,3.44,6,6.5,1,1003060028,0,16,986257,200559,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,254.6418721,2494.795579,387450,13,0,7590,7590,12,2700,37.59777832,39.1222229,1.52444458,38.0219539,0.614445436,456.2634468 +7591,MN,210,19,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,302 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,CHARBERN MANAGEMENT G,1124,6768,3384,3384,1128,1128,0,1128,0,0,2,1,5,2,4,18.67,62.5,18,63, ,3,Y,4,2,371700,891000,0,0,1910,1989,0,Tribeca East Historic District, ,6.02,6.02,6,6.5,1,1002100019,0,33,983534,201441,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,167.6116556,1185.012814,519300,0,0,7591,7591,7,1575,12.00777817,12.33199978,0.324221611,12.28568241,0.11345393,85.99977684 +7592,MN,887,10,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,113 EAST 31 STREET,C4-5A, , , , , , , , , ,N,D7,4,0,P,"ROLLING REALTY,",3358,13750,750,13000,0,750,0,0,0,0,2,1,5,17,19,34,100,34,81, ,3,N,5,2,179100,1552500,0,0,1920,1981,0, , ,4.09,4,4,4,1,1008870010,0,72,989276,210721,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,277.1910774,3595.875609,1373400,10,0,7592,7592,15,3375,29.31800079,29.31800079,0,29.31800079,0,439.7700119 +7593,MN,836,43,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,366 5 AVENUE,C5-3, , , , , ,MID, , , ,N,O6,5,0,P,RONBET 366 LLC,12862,138748,138748,0,129948,8800,0,0,0,0,2,1,12,0,73,85.75,150,85.75,150, ,0,N,3,2,7650000,20916900,0,0,1908,0,0, , ,10.79,10,15,15,1,1008360043,0,76,988523,212194,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,499.1305169,14449.33566,13266900,10,0,7593,7593,57,12825,49.62900162,60.24444199,10.61544037,50.1875941,2.04563922,2860.692863 +7594,MN,883,14,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,121 EAST 27 STREET,C4-5A, , , , , , , , , ,N,O6,5,0,P,HARVARD AGENCY CO INC,7958,60000,60000,0,49500,7000,0,0,0,3500,2,1,10,0,106,60.58,197.5,21,197, ,3,Y,4,2,1800000,4693500,0,0,1912,1983,0, , ,7.54,4,4,4,1,1008830014,0,68,988833,209819,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,533.1379402,8315.542677,2893500,11,0,7594,7594,36,8100,33.29444504,34.96066666,1.666221619,33.34072897,0.273819445,1200.266243 +7595,MN,873,35,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,192 3 AVENUE,C1-9A, , , , , , , , , ,N,K2,5,0, ,DAVINO JOHN C,2300,4232,4232,0,2116,2116,0,0,0,0,2,1,2,0,2,23,100,23,90, ,3,N,5,2,339300,603450,0,0,1960,0,0, , ,1.84,10,2,10,1,1008730035,0,50,988144,207255,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,252.4088999,2411.675403,264150,5,0,7595,7595,11,2475,30.96199989,30.96199989,0,30.96199989,0,340.5819988 +7596,MN,572,11,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,62 WEST 9 STREET,R6, , , , , , , , , ,N,S5,4,0, ,HARRAN HOLDING CORP,2348,6915,1200,5715,0,1200,0,0,0,0,2,1,5,5,6,25,93.92,25,86,E,3,N,5,5,383709,898470,0,0,1900,2009,0,Greenwich Village Historic District, ,2.95,2.43,0,4.8,1,1005720011,0,63,984597,206622,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.5025467,2443.762277,514761,8,0,7596,7596,10,2250,18.70499992,18.70499992,0,18.70499992,0,187.0499992 +7597,MN,483,3,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,494 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,JENSEN 494 LLC,2375,9200,9200,0,6900,2300,0,0,0,0,2,1,4,0,5,23.67,99.83,24,100,E,3,Y,5,2,535500,5182650,0,0,1900,2002,2012,SoHo-Cast Iron Historic District, ,3.87,0,5,6.5,1,1004830003,0,45,984422,202286,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,257.4668357,2482.143822,4647150,0,0,7597,7597,10,2250,24.68222237,24.68222237,0,24.68222237,0,246.8222237 +7598,MN,589,9,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,253 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,253 BLEECKER STREET L,1033,2608,1000,1608,0,1000,0,0,0,0,2,1,4,3,4,15.67,66,16,40, ,3,N,5,5,205224,425414,0,0,1920,1988,0,Greenwich Village Historic District Exte, ,2.52,3.44,0,6.5,1,1005890009,0,67,983504,205628,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,169.4411326,1083.551179,220190,9,0,7598,7598,4,900,17.07900047,17.07900047,0,17.07900047,0,68.31600189 +7599,MN,406,32,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,210 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,BAJA 210 LLC,1750,4226,0,4226,0,0,0,0,0,0,2,1,4,8,8,25,70,25,40, ,3,N,5,2,40462,179934,0,0,1920,1986,0, , ,2.41,4,0,4,1,1004060032,0,34,990099,204728,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,192.7709289,1781.61727,139472,12,1,7599,7599,9,2025,11.35888863,12.49111176,1.132223129,11.60345671,0.45778844,104.4311104 +7600,MN,543,52,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,141 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,39 1/2 WASHINGTON SQ,2924,13070,1200,11870,1200,0,0,0,0,0,2,1,5,11,12,34,86,34,82, ,3,N,3,2,84150,1498050,2360,2360,1900,0,0,South Village Historic District, ,4.47,3.44,0,6.5,1,1005430052,0,65,984279,205614,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,249.4509374,3230.589509,1413900,9,0,7600,7600,15,3375,18.19555664,21.6511116,3.455554962,18.79923045,1.177006563,281.9884567 +7601,MN,273,7501,103,6,1002,2,1,10002,E015,7,14,7800,1,3, ,142 HENRY STREET,R7-2, , , , , , , , , ,N,RM,4,0, , ,2115,18240,1671,16569,0,1554,0,117,0,0,2,1,9,13,14,25,84.58,25,85, ,0,N,0,5,195750,1489050,2360,2360,1912,0,0, , ,8.62,3.44,0,6.5,1,1002737501,1438,6,986922,199132,12d, ,11N 054,10107, ,1002730027,8/16/2005,1, , ,17V1.1,7,228.8410172,2384.361271,1293300,16,0,7601,7601,12,2700,23.87533379,29.19999886,5.32466507,26.35353724,2.212346569,316.2424469 +7602,MN,882,39,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,153 EAST 26 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,153 E 26TH ST HUBB NY,1975,15800,1650,14150,0,1650,0,0,0,0,2,1,8,14,15,20,98.75,20,98.75, ,2,N,5,2,154350,1935000,0,0,1905,1987,2006, ,HISTORIC STREET LAMPPOSTS,8,4,0,4,1,1008820039,0,68,989180,209303,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,246.7391115,2162.75489,1780650,11,0,7602,7602,11,2475,31.85222244,34.5988884,2.746665955,32.10191935,0.789610944,353.1211128 +7603,MN,585,29,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,85 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,1052,4932,0,4932,0,0,0,0,0,0,2,1,5,5,5,20.5,51.33,21,50,E,2,N,3,2,112090,265857,5871,5871,1910,1982,0,Greenwich Village Historic District, ,4.69,2.43,0,4.8,1,1005850029,0,73,982783,205912,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,147.0071589,1147.514073,153767,9,0,7603,7603,5,1125,18.5988884,18.5988884,0,18.5988884,0,92.99444199 +7604,MN,754,25,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,325 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR30 LLC,2271,4577,0,4577,0,0,0,0,0,0,2,1,4,20,20,23,98.75,50,23,E,3,N,5,2,153000,729000,0,0,1920,0,0, , ,2.02,4,0,4,1,1007540025,0,103,985253,212651,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,258.2020881,2296.160611,576000,6,0,7604,7604,11,2475,33.70700073,36.53777695,2.830776215,33.97910135,0.810437395,373.7701149 +7605,MN,896,30,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,238 EAST 15 STREET,R7B, , , , , , , , , ,N,M4,8,0, ,SYNAMON GLOBAL LLC,5366,6508,6508,0,0,0,0,0,0,6508,2,2,4,0,1,52,103.25,52,60, ,3,N,5,1,436050,778950,0,0,1920,1985,0,Stuyvesant Square Historic District, ,1.21,3,0,3,1,1008960030,0,48,988351,206365,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,313.1377613,5459.179136,342900,5,0,7605,7605,25,5625,26.69333267,28.76000023,2.066667557,26.83693275,0.485180673,670.9233189 +7606,MN,924,3,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,314 2 AVENUE,R9A, , , , , , , , , ,N,C3,2,0, ,SOU C YEP,1020,3418,0,3418,0,0,0,0,0,0,2,1,3,4,4,17,60,17,50, ,0,N,5,5,168883,284038,0,0,1901,0,0, , ,3.35,7.52,0,7.52,1,1009240003,0,48,989030,207029,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,163.8380494,1115.182182,115155,5,0,7606,7606,4,900,14.83555603,14.83555603,0,14.83555603,0,59.34222412 +7607,MN,225,6,101,39,1007,2,1,10013,L008,1,15,7700,1,1,3B,115 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,BRANCA REAL ESTATE US,8750,24000,24000,0,8000,0,0,16000,0,0,2,1,3,0,1,50.17,175.58,50,176, ,3,Y,4,2,407700,2795850,0,0,1940,1984,2004, , ,2.74,6.02,6,6.5,1,1002250006,0,39,981812,202938,12a, ,101N040,10105,E-257,0, ,1, ,1,17V1.1,0,459.8767284,9244.257652,2388150,0,1,7607,7607,42,9450,8.35888958,8.96444416,0.605554581,8.388016496,0.127352797,352.2966928 +7608,MN,911,26,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,245 EAST 30 STREET,R7B, , , , , , , , , ,N,C7,4,0, ,245 EAST 30TH STREET,4938,20892,1000,19892,1000,0,0,0,0,0,2,1,6,30,31,50,98.75,50,84, ,3,N,5,2,196200,1662750,0,0,1910,1986,0, , ,4.23,3,0,3,1,1009110026,0,70,990309,209856,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,304.7488161,5195.038189,1466550,10,0,7608,7608,22,4950,29.22888947,29.22888947,0,29.22888947,0,643.0355682 +7609,MN,527,12,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,30 DOWNING STREET,R6, , , , , , , , , ,N,C0,2,0,P,PESCE DANILO,840,2940,0,2940,0,0,0,0,0,0,2,1,4,3,3,21,40,21,35, ,3,N,5,0,47998,107017,0,0,1899,0,0,Greenwich Village Historic District Exte, ,3.5,2.43,0,4.8,1,1005270012,0,67,983330,204992,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,124.4573641,854.1351418,59019,9,0,7609,7609,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +7610,MN,606,26,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,62 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,K2,5,0, ,FRANKLIN AVE INVESTOR,1025,3400,3400,0,0,3400,0,0,0,0,2,1,3,0,1,20,53.5,20,42.5,E,3,Y,5,2,223650,716850,0,0,1915,0,0,Greenwich Village Historic District, ,3.32,3.44,2,6.5,1,1006060026,0,71,984090,207450,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,147.7892516,1003.055216,493200,8,0,7610,7610,5,1125,22.88899994,22.88899994,0,22.88899994,0,114.4449997 +7611,MN,567,9,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,6 EAST 10 STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,6 EAST 10TH STREET LL,2307,7920,0,6920,0,0,0,0,0,0,2,1,5,1,1,25,92.25,25,67, ,3,N,5,1,47538,339120,0,0,1900,2009,2009,Greenwich Village Historic District, ,3.43,3.44,0,6.5,1,1005670009,0,59,985628,206329,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,243.1584254,2454.204698,291582,8,0,7611,7611,12,2700,27.86444473,29.94266701,2.078222275,28.97510242,0.604490837,347.7012291 +7612,MN,277,32,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,52 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,52 HENRY STREET REALT,2546,10328,1900,8428,0,1900,0,0,0,0,2,1,6,22,23,25.33,100,25,84, ,3,N,5,2,157500,701550,0,0,1920,1982,0, , ,4.06,3.44,0,6.5,1,1002770032,0,8,985539,198942,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,256.642162,2599.418428,544050,16,0,7612,7612,12,2700,26.91300011,31.22588921,4.312889099,27.50386127,1.242169291,330.0463352 +7613,MN,190,7504,101,33,3014,2,1,10013,E007,1,15,7700,3,1, ,27 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,14543,158730,23583,135147,0,0,17429,0,0,6154,2,1,14,57,60,108.25,175,0,0, ,0,N,0,5,1122301,19290895,38580,38580,1905,1979,1998,Tribeca West Historic District, ,10.91,6.02,6,6.5,1,1001907504,1045,33,982180,201670,12a, ,11N 041,10105, ,1001900026,10/27/1999,1, , ,17V1.1,7,578.8569443,15266.03943,18168600,14,0,7613,7613,68,15300,15.08022213,15.75599957,0.675777435,15.72350285,0.132802632,1069.198194 +7614,MN,396,6,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,225 AVENUE B,C1-6A, , , , , , , , , ,N,K2,5,0,P,225 AVENUE B LLC,1936,3476,3476,0,0,3476,0,0,0,0,2,1,2,0,2,22,88,22,82, ,3,N,5,2,90000,396900,0,0,1920,0,0, , ,1.8,4,2,4,1,1003960006,0,28,990339,204880,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,224.0222671,1980.193475,306900,12,1,7614,7614,8,1800,10.09222221,10.09222221,0,10.09222221,0,80.73777771 +7615,MN,915,33,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,635 2 AVENUE,R9, , , ,C2-5, ,TA, , , ,N,S5,4,0, ,635 SECOND AVE RLTY C,1495,4327,1240,3087,0,1240,0,0,0,0,2,1,4,6,7,19.67,76,20,50,E,3,N,5,2,146181,416418,0,0,1910,1994,0, , ,2.89,7.52,0,10,1,1009150033,0,78,990944,210819,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,199.9002309,1625.787958,270237,10,0,7615,7615,7,1575,18.38999939,18.38999939,0,18.38999939,0,128.7299957 +7616,MN,877,34,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,143 EAST 21 STREET,R9A, , , , , , , , , ,N,A4,1,0, ,"LOO, DAVID J.",2024,7440,0,6200,0,0,0,0,0,0,2,1,5,1,1,20.5,98.75,20.5,62, ,3,N,5,1,180090,524586,0,0,1901,0,0, , ,3.68,7.52,0,7.52,1,1008770034,0,68,988515,208156,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,241.307299,2141.375911,344496,5,0,7616,7616,9,2025,22.27111053,22.27111053,0,22.27111053,0,200.4399948 +7617,MN,821,25,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,25 WEST 19 STREET,C6-4A, , , , , , , , , ,N,C7,4,0, ,153 EAST 33 STREET CO,2300,7125,1425,5700,0,1425,0,0,0,0,2,1,4,8,9,25,92,25,63, ,3,N,5,5,44074,891307,0,0,1915,0,0,Ladies' Mile Historic District, ,3.1,10,10,10,1,1008210025,0,54,986274,208833,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,243.4322128,2436.782249,847233,7,0,7617,7617,12,2700,32.91555405,35.18044662,2.264892578,33.10429509,0.625983239,397.2515411 +7618,MN,741,32,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,147 8 AVENUE,C1-6A, , , , , , , , , ,N,S1,4,0,P,IAKOVOS INC,2075,7000,1750,5250,0,1750,0,0,0,0,2,1,3.5,1,2,20.75,100,21,91,E,3,N,5,2,75340,144673,0,0,1920,2008,0, ,147 EIGHTH AVENUE HOUSE,3.37,4,2,4,1,1007410032,0,83,983893,209610,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,248.6691128,2163.844298,69333,7,0,7618,7618,9,2025,19.42666817,19.42666817,0,19.42666817,0,174.8400135 +7619,MN,386,53,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,233 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,233 EAST 3RD STREETAS,3927,17754,0,17754,0,0,0,0,0,0,2,1,6,29,29,40.83,96.17,41,82, ,2,N,5,2,392850,1548450,0,0,1910,1983,0, , ,4.52,4,0,4,1,1003860053,0,2601,989356,202440,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,284.2605862,4244.563754,1155600,1,0,7619,7619,19,4275,14.43666649,17.34000015,2.903333664,14.75843841,0.826055389,280.4103298 +7620,MN,23,7,101,7,1007,2,1,10004,L015,1,15,7700,1,1, ,1 WALL STREET,C5-5, , , , , ,LM, , , ,N,D6,4,0,P,MIP ONE WALL STREET A,42178,1219115,758727,460388,0,250664,28090,0,0,479973,2,1,52,575,576,362.33,132.62,362,133, ,1,Y,1,2,26055000,89955000,0,0,1930,2016,2016, ,1 WALL STREET BUILDING,28.9,10,15,15,1,1000230007,0,7,980970,196900,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,970.9916197,44766.32398,63900000,17,0,7620,7620,196,44100,21.347332,35.57777786,14.23044586,25.55434536,3.820069818,5008.651691 +7621,MN,564,7502,102,61,3002,2,2,10003,L003,6,15,5700,3,2, ,56 EAST 13 STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,2317,20088,2288,17800,0,2288,0,0,0,0,2,1,8,8,9,25,96.25,25,86.33, ,3,Y,0,5,4425,952747,0,0,2006,0,0, , ,8.67,3.44,6,6.5,1,1005647502,1834,61,986566,206707,12c, ,103 026,10207, ,1005640013,3/7/2008,1, , ,17V1.1,7,243.2699193,2473.276608,948322,8,0,7621,7621,11,2475,38.11633301,40.97000122,2.853668213,38.37575739,0.820371931,422.1333313 +7622,MN,498,16,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,545 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0,P,MAPAMA CORP (THE),5000,29586,21686,7900,0,5000,0,16686,0,0,2,1,6,4,8,25,200,25,198, ,3,N,4,2,450000,3775950,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.92,0,5,6.5,1,1004980016,0,49,984578,202948,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,465.4872559,5193.888727,3325950,0,0,7622,7622,23,5175,29.75499916,30.35777664,0.602777481,29.78120688,0.122925087,684.9677582 +7623,MN,235,29,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,217 HESTER STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,GRAND MACHINERY EXCHA,2720,8571,8571,0,5380,3191,0,0,0,0,2,1,3,0,5,37.08,75.33,37,75, ,3,Y,3,2,245250,922950,0,0,1915,0,0, , ,3.15,0,5,6.5,1,1002350029,0,41,984489,201139,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,228.4574655,2885.292704,677700,0,0,7623,7623,12,2700,18.06888962,18.99699974,0.928110123,18.85741647,0.291307553,226.2889977 +7624,MN,304,34,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,77 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,S5,4,0, ,CHUN CHU REALTY INC.,2019,4225,1306,2919,0,1306,0,0,0,0,2,1,4,6,7,25,81,25,54, ,3,N,5,1,82329,230630,0,0,1910,0,0, , ,2.09,3.44,6,6.5,1,1003040034,0,16,985747,200600,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,217.2795562,2093.209172,148301,0,0,7624,7624,9,2025,35.83599854,35.92399979,0.088001251,35.91422187,0.027656125,323.2279968 +7625,MN,923,57,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,312 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"MCCUMMINGS, JAMES B",1092,2800,0,2800,0,0,0,0,0,0,2,1,4,2,2,14,78,14,50, ,2,N,5,2,68424,131880,0,0,1901,0,0, , ,2.56,3,0,3,1,1009230057,0,48,989116,206820,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,184.0473357,1093.292633,63456,5,0,7625,7625,5,1125,16.06999969,19.80111122,3.731111526,16.816222,1.492444611,84.08111 +7626,MN,513,33,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,149 MERCER STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,149 MERCER OWNER LLC,2525,6250,2083,4167,0,2083,0,0,0,0,2,1,3.5,3,5,25.25,100,25,98, ,3,N,5,5,111361,722634,0,0,1900,2006,2013,SoHo-Cast Iron Historic District, ,2.48,0,5,6.5,1,1005130033,0,49,984654,203435,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,254.6083261,2555.744274,611273,9,0,7626,7626,11,2475,26.62555504,26.62555504,0,26.62555504,0,292.8811054 +7627,MN,469,7506,103,40,1000,1,2,10003,L003,9,14,6200,4,3, ,208 EAST 14 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,22922,96581,7487,89094,0,7487,0,0,0,0,2,1,8,83,91,0.52,206.5,157.5,206, ,0,Y,0,5,3816452,16349365,1927,6880600,2013,0,0, , ,4.21,4,2,4,1,1004697506,2432,40,987904,206143,12c, ,102 026,10205, ,1004690015,11/1/2013,1, , ,17V1.1,7,950.5116458,23238.84923,12532900,12,0,7627,7627,102,22950,33.82666779,37.01888657,3.192218781,35.38432252,0.800677111,3609.200897 +7628,MN,851,7501,105,56,2001,2,2,10010,E014,13,15,5700,1,5, ,5 EAST 22 STREET,C6-4M, , , , , , , , , ,N,RM,4,0,P,MADISON GREEN,28028,363054,26208,336846,0,8659,17549,0,0,0,2,1,29,423,425,0.64,0,0,0, ,0,Y,5,5,6772540,62128874,265272,480691,1985,0,0, , ,12.95,10,10,10,1,1008517501,77,56,987329,209168,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,7,704.2414481,28728.37215,55356300,11,0,7628,7628,128,28800,32.49111176,45.84999847,13.35888672,36.81496549,4.647954477,4712.315582 +7629,MN,522,7501,102,55.02,2006,2,1,10012,L009,9,15,5700,2,2, ,54 BLEECKER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,4800,37427,11176,26251,0,7314,0,0,0,3862,2,1,8,11,13,43.08,116.08,0,0, ,0,N,5,5,913500,3054602,4720,4720,1910,0,0,NoHo Historic District, ,7.8,0,5,6.5,1,1005227501,348,5502,985639,203714,12c, ,103 010,10206, ,1005220032,1/7/1987,1, , ,17V1.1,7,342.9408039,5412.20948,2141100,9,0,7629,7629,23,5175,40.66999817,40.66999817,0,40.66999817,0,935.4099579 +7630,MN,636,8,102,75,1006,2,3,10014,L005,6,15,6400,1,2,2B,177 CHRISTOPHER STREET,C1-6A, , , , , , , , , ,N,K9,5,0, ,7-9-11 WEEHAWKEN STRE,7418,18942,13442,5500,0,1166,3000,0,0,7692,2,3,4,2,5,66,79.92,22,53, ,0,Y,5,5,522000,828279,0,0,1900,1984,0,Weehawken Street Historic District, ,2.55,4,2,4,1,1006360008,0,75,981602,206295,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,455.7731935,7604.300322,306279,9,1,7630,7630,33,7425,10.33144474,11.84888935,1.517444611,10.46907064,0.244491814,345.479331 +7631,MN,292,14,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,100 CANAL STREET,C6-1G, , , , , , , , , ,N,K2,5,0,P,"EVER-KING, INC.",1875,3250,3250,0,1625,1625,0,0,0,0,2,1,2,0,1,25,75,25,60, ,3,N,5,2,116550,291150,0,0,1940,1987,0, , ,1.73,3.44,6,6.5,1,1002920014,0,16,985900,199892,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,207.6393033,1970.401107,174600,16,0,7631,7631,8,1800,40.24599838,40.24599838,0,40.24599838,0,321.9679871 +7632,MN,449,46,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,71 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,CHRISTINE A. PADOCH,2438,6048,0,6048,0,0,0,0,0,0,2,1,4,7,7,25,97.5,25,60, ,3,N,5,1,46843,187664,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.48,4,0,4,1,1004490046,0,38,987984,204344,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,250.3433104,2489.730435,140821,12,0,7632,7632,12,2700,25.48777771,29.05555534,3.567777634,26.52479633,1.318155035,318.2975559 +7633,MN,309,7502,103,16,4001,2,1,10002,E015,7,14,7400,2,3, ,60 ORCHARD STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,2202,9682,2718,6964,0,2632,0,86,0,0,2,1,9,7,8,25.33,87.5,25,85, ,3,N,0,2,117450,1870959,0,894846,1920,2009,2006, , ,4.4,6.02,6,6.5,1,1003097502,2281,16,986834,200409,12c, ,101N051,10107, ,1003090009,10/12/2011,1, , ,17V1.1,7,233.9550693,2348.307268,1753510,13,0,7633,7633,11,2475,34.44444275,34.44444275,0,34.44444275,0,378.8888702 +7634,MN,353,82,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,132 DELANCEY STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,"URBAN-SCAPE , LLC",1153,4700,4700,0,2350,0,0,0,0,2350,2,1,2,0,1,50,46.92,25,46.92, ,0,N,3,5,96750,1094400,0,0,1900,0,0, , ,4.08,6.02,6,6.5,1,1003530082,0,1402,987832,201044,12c, ,101N079,10201,E-216,1003530082,1/21/1993,1, , ,17V1.1,0,149.4327454,1276.957345,997650,13,0,7634,7634,6,1350,26.83777809,26.83777809,0,26.83777809,0,161.0266685 +7635,MN,886,72,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,128 EAST 31 STREET,C6-2A, , , , , , , , , ,N,A4,1,0, ,"GRINER-CAWLEY, JOANNA",985,2972,0,2229,0,0,0,0,0,0,2,1,3,1,1,16.5,59.25,16.5,45, ,3,N,5,1,136470,205147,1550,1550,1915,1986,0, , ,3.02,6.02,6,6.5,1,1008860072,0,72,989359,210520,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,159.3529633,1047.083857,68677,10,0,7635,7635,6,1350,31.34866524,33.23199844,1.883333206,32.91810958,0.701876846,197.5086575 +7636,MN,239,38,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,90 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,90 BOWERY ENTERPRISE,5083,33890,24416,9474,14250,10166,0,0,0,0,2,1,7,12,34,50.67,100,51,100, 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,17V1.1,0,254.1901597,2139.858763,86232,7,0,7640,7640,8,1800,27.87888908,30.22333336,2.344444275,28.3568058,0.855591747,226.8544464 +7641,MN,91,11,101,15.01,1015,2,1,10038,E006,1,15,7700,1,1,1B,125 FULTON STREET,C6-4, , , , , ,LM, , , ,N,K2,5,0,P,"CMG GROUP, LLC",2954,5908,5908,0,0,5908,0,0,0,0,2,1,2,0,2,25,118.92,25,119, ,3,Y,4,2,315000,1021500,0,0,1900,0,0, , ,2,10,10,10,1,1000910011,0,1501,982264,198027,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,304.2032283,3239.299437,706500,4,0,7641,7641,14,3150,33.07500076,34.35944366,1.284442902,33.16674668,0.330794624,464.3344536 +7642,MN,576,1,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,486 AVENUE OF THE AMER,C1-7,R6, , , , , , , , ,Y,D4,3,0,P,79 W 12 ST CORP,10827,131126,5200,125926,0,5200,0,0,0,0,2,1,16,107,113,100.75,102,101,102, ,3,Y,3,2,2241000,14415300,351776,351776,1960,0,0, , ,12.11,6.02,2,6.5,1,1005760001,0,63,984982,207455,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,419.6728641,10810.33495,12174300,8,0,7642,7642,48,10800,23.70299912,24.48111153,0.778112411,23.76601775,0.191673571,1140.768852 +7643,MN,906,50,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,206 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,BERNIC ENTERPRISES LL,4938,14860,0,14860,0,0,0,0,0,0,2,2,5,18,18,50,98.75,32,50, ,2,N,5,2,154350,1347750,0,0,1930,1986,0, , ,3.01,4,0,4,1,1009060050,0,66,989428,208989,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,305.714866,5166.512128,1193400,11,0,7643,7643,23,5175,30.40999985,39.0288887,8.618888855,32.59217387,3.3677349,749.6199989 +7644,MN,194,7503,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,44 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,44 LISPENARD CORP,2176,10442,2718,7724,0,0,0,0,0,2718,2,1,5,4,5,0.04,0,0,0, ,0,N,0,5,121478,761285,0,0,1910,0,0,Tribeca East Historic District, ,4.8,6.02,6,6.5,1,1001947503,983,33,983287,201451,12a, ,101N046,10105, ,1001940025,12/24/1997,1, , ,17V1.1,7,244.589887,2449.575485,639807,0,0,7644,7644,11,2475,12.8255558,14.41422176,1.588665962,12.96997998,0.456709353,142.6697798 +7645,MN,930,20,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,335 EAST 24 STREET,R8, , , ,C2-5, , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,23777,180102,180102,0,180102,0,0,0,0,0,2,1,11,0,4,98.75,225,150,77.67, ,2,Y,3,2,3262500,16387650,3262500,16387650,1977,2009,2009, , ,7.57,6.02,0,6.5,1,1009300020,0,66,990235,208145,8d,Y,104 009,10309, ,0, ,1, , ,17V1.1,0,870.6248596,25171.85912,13125200,11,0,7645,7645,113,25425,14.46777821,19.95888901,5.491110802,16.05012006,1.156953039,1813.663567 +7646,MN,297,24,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,11 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,11 ESSEX ST. CORP.,2188,8506,1712,6794,0,1712,0,0,0,0,2,1,5,22,24,25,87.5,25,67, ,3,N,5,2,148500,241126,0,0,1910,0,0, , ,3.89,6.02,6,6.5,1,1002970024,0,16,986936,199801,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,231.3769712,2267.20753,92626,13,0,7646,7646,11,2475,32.98300171,36.72333145,3.740329742,33.36437503,1.070131122,367.0081253 +7647,MN,144,13,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,157 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0,P,DUANE ST PK CORP,1850,8805,1750,7055,0,1750,0,0,0,0,2,1,5,5,6,25.33,74,25,74, ,3,N,5,2,153846,473775,0,0,1920,0,0,Tribeca West Historic District, ,4.76,6.02,6,6.5,1,1001440013,0,33,981870,200463,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,202.5470199,1915.685639,319929,14,0,7647,7647,9,2025,11.09777832,11.09777832,0,11.09777832,0,99.88000488 +7648,MN,506,54,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,29 VANDAM STREET,R6, , , , , , , , , ,N,B1,1,0, ,"TUTTLE, RICHARD D.",2018,2200,0,2200,0,0,0,0,0,0,2,1,2.75,2,2,20.17,100.08,20.17,40, ,2,N,5,2,25819,116053,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.09,2.43,0,4.8,1,1005060054,0,37,982886,203992,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,245.0094596,2066.495263,90234,0,0,7648,7648,10,2250,20.62700081,24.03999901,3.412998199,22.70365562,1.374112303,227.0365562 +7649,MN,607,58,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,125 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,THE FONSECA 2010 FAMI,2306,5896,0,3916,0,0,0,0,0,0,2,1,2,1,1,22.33,103.25,22.33,44,E,2,N,5,1,59602,197406,0,0,1899,0,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006070058,0,71,984463,207439,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.555328,2388.353301,137804,8,0,7649,7649,10,2250,21.80333328,23.82666588,2.023332596,22.15022202,0.705704283,221.5022202 +7650,MN,778,57,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,232 WEST 29 STREET,M1-6D, , , , , , , , , ,N,H3,5,0, ,BRISAM MANAGEMENT (DE,10825,71541,0,0,0,0,0,0,0,0,2,3,13,0,1,99.92,98.75,99.11,50, 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,17V1.1,0,207.8003197,1828.566526,510431,11,0,7660,7660,8,1800,31.56888962,33.98666763,2.417778015,32.199862,0.953233486,257.598896 +7661,MN,443,38,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,15 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,"15 1ST AVENUE, LLC",1250,3075,769,2306,0,769,0,0,0,0,2,1,5,4,5,16.67,75,17,63,E,3,N,5,4,158174,235305,0,0,1910,2006,2012, , ,2.46,4,0,4,1,1004430038,0,3602,987405,202883,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,187.4329582,1243.47072,77131,1,0,7661,7661,7,1575,31.19000053,31.19000053,0,31.19000053,0,218.3300037 +7662,MN,615,42,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,13 BANK STREET,R6, , , , , , , , , ,N,A5,1,0, ,THIRBAN REALTY HOLDIN,1980,5066,0,3966,0,0,0,0,0,0,2,1,4,1,1,22,90.25,22,50, ,3,Y,5,1,99364,457920,0,0,1915,1986,2006,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006150042,0,77,983585,207866,12a, ,103 016,10209, ,0, ,1, , 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,17V1.1,0,243.4390088,2467.6634,522491,8,0,7664,7664,12,2700,29.25900078,31.16555595,1.906555176,29.56763951,0.66074481,354.8116741 +7665,MN,583,23,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,42 MORTON STREET,R6,C2-6, , , , , , , , ,Y,C1,2,0, ,MSJ MANAGEMENT LLC,2384,9055,0,9055,0,0,0,0,0,0,2,1,5,17,17,24.33,98,24,84, ,3,Y,5,2,202500,1427850,0,0,1900,1962,0,Greenwich Village Historic District, ,3.8,2.43,0,4.8,1,1005830023,0,67,982804,205461,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,248.4057429,2337.041065,1225350,9,0,7665,7665,10,2250,15.38333321,18.57777786,3.194444656,15.70277767,0.958333397,157.0277767 +7666,MN,401,21,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,522 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,522 EAST 6TH STREET L,2434,6770,0,6770,0,0,0,0,0,0,2,1,5,10,10,25.08,97,25,54, ,3,N,5,2,65406,290464,0,0,1900,0,0, , ,2.78,3,0,3,1,1004010021,0,32,988989,203334,12c, ,102 021,10203, ,0, ,1, , 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,17V1.1,0,254.3077288,2569.206714,1996200,9,0,7670,7670,12,2700,23.62666702,26.7211113,3.094444275,24.07907438,1.02343968,288.9488926 +7671,MN,423,25,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,111 CHRYSTIE STREET,C6-3A, , , , , ,TA, , , ,N,C4,2,0, ,KENT & KEE MEE MUI CH,2506,10830,1805,9025,0,1805,0,0,0,0,2,1,6,23,24,25,100.25,25,83, ,3,N,5,2,90000,777150,0,0,1900,0,0, , ,4.32,7.52,6,7.5,1,1004230025,0,18,985915,201066,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,256.1356756,2568.994887,687150,0,0,7671,7671,12,2700,34.16999817,34.16999817,0,34.16999817,0,410.039978 +7672,MN,769,20,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,231-233 WEST 19TH ST.,2375,9460,750,8710,0,750,0,0,0,0,2,1,5,18,19,25,94.83,25,73, ,3,N,5,2,122850,988650,0,0,1901,1984,0, , ,3.98,6.02,6,6.5,1,1007690020,0,87,984615,209756,8d, ,103 034,10304, ,0, ,1, , 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,17V1.1,7,239.4792881,2472.810067,568268,14,0,7674,7674,11,2475,18.25200081,18.25200081,0,18.25200081,0,200.7720089 +7675,MN,298,8,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,28 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,NEW YORK SHUN ON RLTY,2256,7930,2760,5170,0,2760,0,0,0,0,2,1,5,12,13,25.25,89.33,25,63, ,3,N,5,1,153000,859500,0,0,1900,1984,1996, , ,3.52,6.02,6,6.5,1,1002980008,0,16,986662,199965,12d,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,235.20312,2335.212773,706500,13,0,7675,7675,9,2025,37.64699936,37.64699936,0,37.64699936,0,338.8229942 +7676,MN,379,27,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,436 EAST 10 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,E7,6,0,P,444 WAREHOUSE ASSOCIA,13210,92470,92470,0,0,0,0,92470,0,0,2,1,7,0,1,148.25,92.25,148,92, ,3,Y,5,2,1159200,4656150,0,0,1928,1984,0, ,WHEATSWORTH BAKERY BUILDING,7,4,0,4,1,1003790027,0,28,990933,203391,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,485.3024728,13494.65568,3496950,12,1,7676,7676,60,13500,7.409999847,10.13000011,2.720000267,7.500088747,0.476305617,450.0053248 +7677,MN,924,27,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,345 EAST 18 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,VINCENT TRUNCALI,1840,4650,1000,3650,0,1000,0,0,0,0,2,1,5,8,9,20,92,20,72,E,3,N,5,2,63963,311728,0,0,1901,1987,0, , ,2.53,3,0,3,1,1009240027,0,48,989444,206799,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.5052197,1909.500918,247765,5,0,7677,7677,8,1800,14.83555603,16.39666748,1.56111145,15.38791704,0.608845156,123.1033363 +7678,MN,626,6,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,66 HORATIO STREET,R6, , , , , , , , , ,N,S3,4,0,P,823 GREENWICH LLC,934,3160,576,2584,0,576,0,0,0,0,2,1,4,3,4,18.67,50,20,50,E,3,N,3,5,64625,163215,0,0,1913,1978,0,Greenwich Village Historic District, ,3.38,2.43,0,4.8,1,1006260006,0,79,982492,208377,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,143.7663414,1043.938195,98590,8,0,7678,7678,3,675,15.42222214,15.42222214,0,15.42222214,0,46.26666641 +7679,MN,833,27,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,23 WEST 31 STREET,C6-4, , , , , , , , , ,N,S9,4,0, ,UD 31ST STREET LLC,2469,8797,3400,5397,1700,1700,0,0,0,0,2,1,5,4,6,25,98.75,25,73,E,3,N,5,5,233770,1002179,0,0,1925,1988,0, , ,3.56,10,10,10,1,1008330027,0,76,987820,211528,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,252.572745,2521.148737,768409,10,0,7679,7679,12,2700,41.76111221,41.76111221,0,41.76111221,0,501.1333466 +7680,MN,613,16,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,238 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,238 W 11TH ST COOP CO,1900,3385,0,3385,0,0,0,0,0,0,2,1,4,4,4,20,95,20,48,E,3,N,5,2,112649,309743,0,0,1901,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006130016,0,73,983446,207448,12a, ,103 015,10209, ,0, ,1, , 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,17V1.1,7,193.7083386,1584.337403,336215,0,0,7682,7682,8,1800,43.06000137,44.38333511,1.32333374,43.50208473,0.574842888,348.0166779 +7683,MN,717,7501,104,89,3000,2,3,10011,E003,10,15,5600,1,4, ,445 WEST 19 STREET,R8A, , , , , , , , , ,N,R4,3,0, ,CHATHAM CHELSEA C/O B,9205,41639,0,41639,0,0,0,0,0,0,2,1,10,71,71,0.21,0,0,0, ,0,N,5,5,449989,7235549,59995,121106,1989,0,0, , ,4.52,6,0,6,1,1007177501,572,89,982896,210704,8b, ,100 000,10302, ,1007170010,11/1/1988,1, ,1,17V1.1,7,386.5114499,9331.360067,6785560,7,1,7683,7683,43,9675,9.621110916,13.04333305,3.422222137,9.879335714,0.752352384,424.8114357 +7684,MN,897,62,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,2 RUTHERFORD PLACE,R7B, , , , , , , , , ,N,B9,1,0, ,SELENE PROPERTY LLC,1857,6036,0,4785,0,0,0,0,0,0,2,1,5,2,2,19.75,94,19.75,53,E,3,N,5,1,80465,203343,0,0,1901,0,0,Stuyvesant Square Historic District, ,3.25,3,0,3,1,1008970062,0,48,988495,206895,12c, ,102 036,10308, ,0, ,1, , 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,17V1.1,0,261.4025001,2658.627604,1201050,14,1,7690,7690,12,2700,11.16333294,12.28499985,1.121666908,12.12629612,0.361551662,145.5155535 +7691,MN,472,4,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,179 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,A TRENKMANN EST INC,4925,30718,30718,0,18000,4925,0,2045,0,5748,2,1,7,0,19,61.5,100,62,100, ,0,Y,4,5,666000,3273750,0,0,1900,1988,2005,SoHo-Cast Iron Historic District Extensi, ,6.24,0,5,6.5,1,1004720004,0,45,984690,201782,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,371.1054375,5268.202529,2607750,0,0,7691,7691,23,5175,28.8239994,30.548666,1.724666595,28.90712987,0.352051344,664.863987 +7692,MN,530,6,102,55.02,2001,2,1,10012,L009,9,15,5700,1,2,2A,680 BROADWAY,M1-5B, , , , , , , , , ,N,C4,2,0, ,680 BROADWAY LLC,3705,13913,6750,7163,3375,3375,0,0,0,0,2,1,4,4,6,28.5,130,29,124, ,3,N,5,5,408128,1301900,0,0,1920,1982,2008,NoHo Historic District, ,3.76,0,5,6.5,1,1005300006,0,5502,985750,204324,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,335.1885357,4191.050011,893772,9,0,7692,7692,18,4050,40.38700104,40.38700104,0,40.38700104,0,726.9660187 +7693,MN,637,51,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,423 WEST STREET,C1-7, , , , , , , , , ,N,D1,3,0, ,423 WEST DEVELOPMENT,2170,12880,700,12180,700,0,0,0,0,0,2,1,10,6,7,23.5,95.08,20,60, ,0,Y,5,5,765107,2888870,0,559324,2005,0,0, , ,5.94,6.02,2,6.5,1,1006370051,0,75,981570,207085,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,234.472764,2103.992183,2123760,9,1,7693,7693,8,1800,10.04599953,10.04599953,0,10.04599953,0,80.36799622 +7694,MN,407,31,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,228 AVENUE B,C1-6A, , , , , , , , , ,N,C7,4,0,P,228 AVE B REALTY LLC,2842,12613,2460,10153,0,2460,0,0,0,0,2,1,6,21,23,29.92,95,30,80, ,3,N,5,2,193950,1486800,0,0,1900,1987,0, , ,4.44,4,2,4,1,1004070031,0,34,990221,204976,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,257.3472107,2947.194938,1292850,12,1,7694,7694,12,2700,11.62699986,11.62699986,0,11.62699986,0,139.5239983 +7695,MN,540,41,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,183 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,183 BLEECKER STREET L,1875,3510,994,2516,0,994,0,0,0,0,2,1,3,2,3,25.33,75,25.33,40, ,3,N,5,2,54090,135006,0,0,1901,0,0,South Village Historic District, ,1.87,3.44,0,6.5,1,1005400041,0,65,984028,204939,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,198.6004843,1796.903588,80916,9,0,7695,7695,8,1800,22.5755558,22.5755558,0,22.5755558,0,180.6044464 +7696,MN,608,10,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,158 WEST 13 STREET,R6, , , , , , , , , ,N,S5,4,0, ,"BRAND, HARRIET",2117,6172,1587,4585,0,1587,0,0,0,0,2,1,3,5,6,20.5,103.25,21,71,E,3,N,5,5,169876,516610,0,0,1930,1989,0,Greenwich Village Historic District, ,2.92,2.43,0,4.8,1,1006080010,0,71,984300,207954,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,254.2750379,2142.78067,346734,8,0,7696,7696,10,2250,24.04400063,28.1922226,4.14822197,24.71826744,1.355496408,247.1826744 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,2,Y,5,1,27117,121098,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.91,2.43,0,4.8,1,1005930004,0,71,984150,206493,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,165.2183619,1146.315647,93981,8,0,7703,7703,5,1125,17.50333405,18.93000031,1.42666626,18.00911179,0.627887779,90.04555893 +7704,MN,616,31,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,9 JANE STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,"WALKER JANE REALTY, L",769,3098,0,3098,0,0,0,0,0,0,2,1,4,4,4,19,43,20,42, ,3,N,5,5,148734,250026,0,0,1910,0,0,Greenwich Village Historic District, ,4.03,3.44,2,6.5,1,1006160031,0,77,983499,208242,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,126.9019511,783.8126671,101292,8,0,7704,7704,3,675,21.81777763,21.81777763,0,21.81777763,0,65.4533329 +7705,MN,631,7501,102,75,1004,2,3,10014,L005,6,15,6400,2,2, ,708 GREENWICH STREET,C1-6A, , , , , , , , , ,N,RM,4,0,P,GREENWICH 33 APARTMEN,11700,59563,5620,53943,0,4620,0,1000,0,0,2,1,6,20,21,125,105.25,75,80.75, ,0,Y,5,5,679500,5866650,132343,132343,1910,0,0,Greenwich Village Historic District Exte, ,5.09,4,2,4,1,1006317501,18,75,982154,206651,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,7,464.3001224,12031.35698,5187150,9,0,7705,7705,54,12150,17.77111053,17.77111053,0,17.77111053,0,959.6399689 +7706,MN,591,4,102,73,4004,2,3,10014,E024,6,15,6400,1,2,2B,305 BLEECKER STREET,C4-5, , , , , , , , , ,N,S1,4,0,P,BLDG BLEECKER LLC,1751,5253,0,5253,0,0,0,0,0,0,2,1,3,1,2,26.83,75,26.84,75, ,3,Y,5,4,425696,567630,0,0,1910,2012,2014,Greenwich Village Historic District, ,3,3.44,3.4,6.5,1,1005910004,0,73,983246,206214,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,192.8923064,1774.873015,141934,9,0,7706,7706,8,1800,23.49900055,23.49900055,0,23.49900055,0,187.9920044 +7707,MN,78,1,101,15.02,1003,2,1,10038,E006,1,15,7700,1,1,1B,135 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,D7,4,0,P,135 WILLIAM STREET AS,3718,76988,20250,56738,17500,800,0,0,0,1950,2,1,16,30,32,81.83,45.83,81,46, ,3,Y,3,2,850500,6841350,0,0,1905,1990,2001, , ,20.71,10,10,10,1,1000780001,0,1502,982390,197757,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,259.2085161,3877.530541,5990850,4,0,7707,7707,18,4050,28.83300018,28.83300018,0,28.83300018,0,518.9940033 +7708,MN,775,3,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,304 8 AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,304 8TH AVENUE LLC,2467,6361,2000,4361,0,2000,0,0,0,0,2,1,4,3,5,24.67,100,24.67,100,E,3,N,5,5,191872,443747,0,0,1910,1984,0, , ,2.58,6.02,6,6.5,1,1007750003,0,91,985059,211308,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,252.227216,2418.723871,251875,2,0,7708,7708,9,2025,26.32299995,26.32299995,0,26.32299995,0,236.9069996 +7709,MN,376,43,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,743 EAST 6 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,"JAFFE , PAUL",2090,3680,1840,1840,0,0,1840,0,0,0,2,1,3,1,2,23,90.83,23,90,E,2,N,5,1,23700,31185,1550,1550,1940,0,0, , ,1.76,4,0,4,1,1003760043,0,2602,990519,202660,12c, ,102 023,10202,E-216,0, ,1, , 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REALTY LLC,2115,6011,700,5311,0,0,0,0,0,700,2,1,4,4,6,25,84.58,25,64,E,3,N,5,5,57651,249444,0,0,1910,1985,2006, , ,2.84,3.44,0,6.5,1,1002730026,0,6,986925,199105,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,224.2069023,2177.584987,191793,16,0,7719,7719,9,2025,23.87533379,28.22755623,4.352222443,24.35891406,1.367771557,219.2302265 +7720,MN,281,26,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,56 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,WING LUCK LLC,1949,8784,1550,7234,0,1550,0,0,0,0,2,1,6,8,9,25,77.92,25,69, ,3,N,5,2,150511,483449,0,0,1910,0,0, , ,4.51,3.44,6,6.5,1,1002810026,0,8,985521,199345,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,216.0257969,2097.012902,332938,16,0,7720,7720,7,1575,35.10200119,35.10200119,0,35.10200119,0,245.7140083 +7721,MN,452,53,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,209 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"ER MANAGEMENT, LLC",2369,9200,0,9200,0,0,0,0,0,0,2,1,5,15,15,25,94.75,25,82, ,3,N,5,2,188550,1398600,0,0,1920,0,0, , 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,1.2,2.43,0,4.8,1,1006080066,0,71,984426,207761,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,258.1959679,2340.239003,288450,8,0,7723,7723,11,2475,24.04400063,27.8255558,3.781555176,25.57929316,1.686812877,281.3722248 +7724,MN,199,24,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,77 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,BAK LEE TAT INTERNATI,2500,11400,2175,9225,0,2175,0,0,0,0,2,1,6,19,20,25,100,25,85, ,3,N,5,2,175050,668700,0,0,1915,0,0, , ,4.56,3.44,6,6.5,1,1001990024,0,29,984441,200282,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,256.6827254,2620.95898,493650,14,0,7724,7724,12,2700,22.37599945,22.37599945,0,22.37599945,0,268.5119934 +7725,MN,884,60,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,135 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,135 LEXINDGTON AVENUE,1786,8027,1443,6584,0,1443,0,0,0,0,2,1,5,14,16,22.33,80,21,74, ,2,N,3,2,205650,1389150,0,0,1920,1976,0, , ,4.49,6.02,6,6.5,1,1008840060,0,72,989282,209996,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,210.8996168,1954.785368,1183500,11,0,7725,7725,9,2025,31.56888962,33.02666855,1.457778931,31.8559884,0.542771892,286.7038956 +7726,MN,849,2,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,137 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O6,5,0, ,CHELSEA PARK CORPORAT,3265,38650,38650,0,35650,3000,0,0,0,0,2,1,12,0,12,28.75,113,29,100, ,3,N,5,2,963000,3205800,0,0,1902,1989,0,Ladies' Mile Historic District, ,11.84,10,10,10,1,1008490002,0,52,986884,208773,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,301.4469963,3743.69507,2242800,7,0,7726,7726,17,3825,40.92599869,41.83778,0.911781311,41.02091397,0.262419358,697.3555374 +7727,MN,880,16,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,125 EAST 24 STREET,C6-2A,C5-2, , , , , , , , ,Y,N2,8,0,X,"ST.FRANCIS FRI/POOR,I",4444,21336,21336,0,0,0,0,0,0,21336,2,1,6,96,96,45,98.75,45,85, ,2,N,5,2,1129500,1950300,1129500,1950300,1910,1982,0, , ,4.8,6.02,6,6.5,1,1008800016,0,68,988525,209077,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,289.5999788,4418.326471,820800,11,0,7727,7727,22,4950,29.2211113,30.08666611,0.86555481,29.29580819,0.236582678,644.5077801 +7728,MN,471,3,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,3 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,3 CENTRE MARKET PLACE,1025,3348,1044,2304,0,1044,0,0,0,0,2,1,3,2,3,17.5,58.58,17.5,36.08,E,2,N,5,2,26189,65059,0,0,1910,0,0, , ,3.27,6.02,6,6.5,1,1004710003,0,41,984897,201553,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,151.9256181,988.7347351,38870,0,0,7728,7728,4,900,24.86333275,24.91111183,0.047779083,24.87527752,0.02068895,99.50111008 +7729,MN,274,7503,103,8,6012,2,1,10002,E009,5,14,7800,1,3, ,44 MARKET STREET,R7-2, , , , , , , , , ,N,RM,4,0, , ,4400,16996,7252,9744,0,2507,0,0,0,4745,2,1,12,16,19,50,88,50,43, ,0,N,0,5,175955,2069184,0,332123,2004,0,0, , ,3.86,3.44,0,6.5,1,1002747503,1603,8,985894,198717,12d, ,11N 054,10107, ,1002740039,1/4/2007,1, , ,17V1.1,7,284.2673635,4651.775602,1893230,16,0,7729,7729,19,4275,24.63366699,28.04899979,3.415332794,25.10273703,1.10727551,476.9520035 +7730,MN,350,33,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,162 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,PSA LESAGE L L C,2500,8340,0,8340,0,0,0,0,0,0,2,1,5,20,20,25,100,25,62, ,2,N,5,2,199350,704700,0,0,1920,1988,0, , ,3.34,4,0,4,1,1003500033,0,3001,988473,201787,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,257.4915163,2674.762267,505350,1,0,7730,7730,11,2475,22.40999985,26.61555481,4.205554962,23.7169694,1.743149115,260.8866634 +7731,MN,610,41,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2K,177 WAVERLY PLACE,R6, , , , , , , , , ,N,C7,4,0, ,"EMGE 2, INC.",1600,6325,500,5825,500,0,0,0,0,0,2,1,5,10,11,20,80,20,70, ,3,Y,5,1,108450,827550,0,0,1901,0,0,Greenwich Village Historic District, ,3.95,2.43,0,4.8,1,1006100041,0,71,983952,206751,12a,Y,103 017,10209, ,0, ,1, , ,17V1.1,0,206.3974851,1688.728463,719100,8,0,7731,7731,8,1800,18.18777847,20.29777718,2.109998703,18.45152831,0.697816479,147.6122265 +7732,MN,488,14,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,80 THOMPSON STREET,R7-2,M1-5A, , ,C1-5, , , , , ,Y,C7,4,0,P,"CHARLES THOMPSON,",2175,8755,1400,7355,0,1400,0,0,0,0,2,1,5,18,20,25,87,24,74, ,2,N,5,2,215550,1016550,0,0,1903,0,0,Sullivan-Thompson Historic District, ,4.03,3.44,0,6.5,1,1004880014,0,47,983523,203244,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,229.5486837,2291.306477,801000,0,1,7732,7732,12,2700,9.686666489,12.21888924,2.532222748,9.897685051,0.699869395,118.7722206 +7733,MN,772,72,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,250 WEST 23 STREET,C2-7A, , , , , , , , , ,N,K7,5,0, ,"JAFFIN-SEGAL CHELSEA,",4938,15716,15716,0,15716,0,0,0,0,0,2,1,3,0,1,50,98.75,50,90, ,3,N,5,2,427500,1630350,0,0,1948,1973,0, , ,3.18,7.52,2,7.5,1,1007720072,0,91,984884,210576,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,306.1791984,5142.82498,1202850,2,0,7733,7733,25,5625,22.16600037,24.58888817,2.422887802,22.39010689,0.658422575,559.7526722 +7734,MN,489,4,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,61 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,61 SULLIVAN LLC,1680,5474,1095,4379,0,1095,0,0,0,0,2,1,5,4,5,21,80,21,50, ,3,N,5,5,141993,185774,0,0,1900,2016,0,Sullivan-Thompson Historic District, ,3.26,0,5,6.5,1,1004890004,0,47,983141,203115,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,212.3543935,1866.576077,43781,0,1,7734,7734,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +7735,MN,350,23,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,13 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,4942,20022,1125,18897,0,1125,0,0,0,0,2,2,5,19,21,49.42,100,49.42,90, ,0,N,5,5,225000,1048050,0,744786,1920,1993,0, , ,4.05,4,0,4,1,1003500023,0,3001,988574,201937,12c, ,102 005,10201, ,1003500023,5/6/1992,1, , ,17V1.1,0,312.5821115,5423.095705,823050,1,0,7735,7735,25,5625,22.40999985,25.09333229,2.683332443,22.67271088,0.730122525,566.8177719 +7736,MN,634,59,102,75,3000,2,3,10014,L005,6,15,6400,1,2,3B,92 BANK STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,STARCIRCLE LLC,576,2356,0,1767,0,0,0,0,0,0,2,1,2,2,2,19,66,19,38, ,3,Y,5,1,36288,97852,0,0,1899,0,0,Greenwich Village Historic District, ,4.09,3.44,2,6.5,1,1006340059,0,75,982497,207544,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,156.2015462,847.1395444,61564,8,0,7736,7736,4,900,18.61700058,20.09777832,1.48077774,19.05655622,0.61172741,76.2262249 +7737,MN,429,42,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,5 AVENUE A,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,AVENUE A REALTY CORP,2460,9280,2460,6820,0,2460,0,0,0,0,2,1,4,12,13,30,80,31,78, ,3,Y,3,2,158400,1415250,0,0,1900,1988,2012, , ,3.77,6,0,6,1,1004290042,0,3002,988017,202526,12c, ,102 011,10205, ,1004290041,1/6/1987,1, , ,17V1.1,0,270.0936885,3062.520508,1256850,1,0,7737,7737,13,2925,25.1779995,25.1779995,0,25.1779995,0,327.3139935 +7738,MN,719,17,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,441 WEST 21 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"MORGAN , ELIZABETH GR",3575,9200,0,7650,0,0,0,0,0,0,2,1,5,3,3,25,126,25,62,E,3,Y,5,1,31148,124172,0,0,1910,2006,1999,Chelsea Historic District, ,2.57,3,0,3,1,1007190017,0,89,983200,211080,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,369.0049263,3756.634822,93024,7,1,7738,7738,18,4050,9.307999611,15.53222275,6.224223137,11.26420964,2.556781598,202.7557735 +7739,MN,858,34,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1B,45 EAST 28 STREET,C6-4A, , , , , , , , , ,N,K4,4,0,P,"TGA III, LLC",2173,7150,4312,2838,0,4312,0,0,0,0,2,1,5,3,4,22,98.75,22,98,E,3,N,5,2,450000,860400,0,0,1925,1985,0, , ,3.29,10,10,10,1,1008580034,0,74,988576,210225,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,251.0609662,2315.851728,410400,11,0,7739,7739,10,2250,36.10889053,36.10889053,0,36.10889053,0,361.0889053 +7740,MN,485,7504,102,49,1008,2,1,10012,E055,1,15,6800,1,2, ,83 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2500,16187,4852,11335,0,4852,0,0,0,0,2,1,5,4,5,25,0,25,92, ,0,N,0,5,166410,1639042,0,0,1900,0,0, , ,6.47,0,5,6.5,1,1004857504,2430,49,984167,202677,12c, ,101N070,10206, ,1004850027,12/18/2013,1, , ,17V1.1,7,258.7144528,2675.211118,1472630,0,0,7740,7740,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +7741,MN,905,40,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,234 EAST 25 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,234-240 E 25TH ASSOC,3950,15726,0,15726,0,0,0,0,0,0,2,1,6,30,30,40,98.75,40,83, ,3,N,5,2,315900,2106900,0,0,1920,1986,0, , ,3.98,4,0,4,1,1009050040,0,66,989562,208619,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,282.2079354,4129.525273,1791000,11,0,7741,7741,19,4275,26.78800011,31.6511116,4.863111496,27.70222232,1.800420523,526.3422241 +7742,MN,819,31,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,11 WEST 17 STREET,C6-4A, , , , , , , , , ,N,D7,4,0,P,TRIAD CAPITAL LLC,2484,27610,2400,25210,0,2400,0,0,0,0,2,1,12,12,13,27,92,27,89, ,2,N,5,2,360000,1390050,0,0,1908,1996,0,Ladies' Mile Historic District, ,11.12,10,10,10,1,1008190031,0,54,986210,208309,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,248.9232329,2538.911204,1030050,7,0,7742,7742,12,2700,32.36888886,32.685112,0.316223145,32.39524078,0.08739946,388.7428894 +7743,MN,644,55,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,5 9 AVENUE,M1-5, , , , , , , , , ,N,B9,1,0, ,LITTLE WEST 12TH STRE,1197,2280,0,2280,0,0,0,0,0,0,2,1,3,2,2,19,63,19,40, ,3,N,5,2,18434,63369,0,0,1899,0,0,Gansevoort Market Historic District, ,1.9,0,5,6.5,1,1006440055,0,79,982395,208728,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,162.5107457,1143.10192,44935,8,0,7743,7743,5,1125,15.25,16.11555672,0.865556717,15.42311134,0.346222687,77.11555672 +7744,MN,803,35,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,795 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S9,4,0, ,JAE MOON KIM,1405,5620,1405,4215,0,1405,0,0,0,0,2,1,4,3,6,23.42,60,23.42,60, ,3,N,3,5,182055,747419,0,0,1910,1987,0, , ,4,10,10,10,1,1008030035,0,95,986703,210927,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,177.1481374,1613.289106,565364,2,0,7744,7744,6,1350,37.16799927,37.16799927,0,37.16799927,0,223.0079956 +7745,MN,494,15,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,40 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,D7,4,0, ,D K PROPERTY INC,9085,45990,9244,36746,2000,7244,0,0,0,0,2,3,7,23,27,75.83,109.33,76,120, ,3,Y,5,2,433350,8761500,0,0,1900,2001,2013, , ,5.06,6.02,6,6.5,1,1004940015,0,43,985509,202692,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,499.423719,9630.532497,8328150,0,0,7745,7745,44,9900,38.86500168,41.82222366,2.957221985,39.18930704,0.851000659,1724.32951 +7746,MN,404,52,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,307 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,307 EAST 10 STREET LL,2863,5500,0,5500,0,0,0,0,0,0,2,1,4,5,5,25,114.5,25,54, ,3,N,5,5,22546,140745,0,0,1900,0,0,East 10th Street Historic District, ,1.92,4,0,4,1,1004040052,0,34,989413,204418,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,281.056233,2843.24294,118199,12,0,7746,7746,12,2700,12.53199959,16.44333458,3.911334991,14.03694431,1.339988437,168.4433317 +7747,MN,744,36,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1A,197 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,SNA ENTERPRISES INC,3050,11076,3852,7224,0,2000,0,0,0,1852,2,1,4,9,11,38.25,79.75,38,80,E,2,N,3,2,686250,2414250,0,0,1900,1980,0, , ,3.63,4,2,4,1,1007440036,0,89,984236,210212,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,244.1615517,3315.406365,1728000,7,0,7747,7747,15,3375,15.84222221,15.84222221,0,15.84222221,0,237.6333332 +7748,MN,742,53,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,326 WEST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,THORNE RICHARD G,2009,4220,0,4220,0,0,0,0,0,0,2,1,3,7,7,21.83,92,22,50, ,3,N,5,1,70748,330357,0,0,1910,1987,0, , ,2.1,3,0,3,1,1007420053,0,89,983809,210027,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,231.0838947,2050.734965,259609,7,0,7748,7748,8,1800,15.59444427,15.59444427,0,15.59444427,0,124.7555542 +7749,MN,496,7501,102,43,3003,2,1,10012,L020,5,15,6800,1,2, ,70 PRINCE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,964,3285,922,2363,0,922,0,0,0,0,2,1,3.5,2,3,18.08,53.33,0,0, ,0,N,5,5,49178,194531,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,3.41,0,5,6.5,1,1004967501,346,43,985096,202946,12c, ,101N075,10206, ,1004960014,1/7/1987,1, , ,17V1.1,7,154.2583616,1206.319186,145353,0,0,7749,7749,6,1350,36.2788887,37.76699829,1.488109589,37.46244303,0.543601915,224.7746582 +7750,MN,350,48,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,10 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,M1,8,0,X,CONG ANSCHE GYENSTOCH,5500,7153,7153,0,0,0,0,0,0,7153,2,1,2,0,0,55,100,48,70,E,0,N,5,5,297900,832500,297900,832500,1923,0,0, , ,1.3,4,0,4,1,1003500048,0,2201,988727,201927,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,312.2515625,5514.632682,534600,1,0,7750,7750,25,5625,19.81333351,24.25888824,4.445554733,23.50471115,0.90667307,587.6177788 +7751,MN,621,59,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,258 WEST 4 STREET,R6, , , , , , , , , ,N,B9,1,0, ,WIGGINS GUY,1335,3520,0,2640,0,0,0,0,0,0,2,1,3,2,2,22.25,60,22.25,40, ,2,N,5,1,38216,147494,8450,8450,1899,0,0,Greenwich Village Historic District, ,2.64,2.43,0,4.8,1,1006210059,0,73,983297,207138,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,173.2424943,1433.247055,109278,8,0,7751,7751,6,1350,24.81222343,26.52111053,1.7088871,25.09703795,0.63686462,150.5822277 +7752,MN,530,31,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,53 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,53 GREAT JONES STREET,2700,3700,3700,0,0,3700,0,0,0,0,2,1,1,0,1,27,100,27,100,E,3,N,5,2,180000,876600,0,0,1920,2007,2010,NoHo Historic District Extension, ,1.37,0,5,6.5,1,1005300031,0,5502,986316,203947,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,264.7020299,2830.368095,696600,9,0,7752,7752,13,2925,43.14099884,44.38444519,1.24344635,43.23664856,0.331340347,562.0764313 +7753,MN,766,20,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,237 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,C6,2,0, ,237 W 16 ST APT CORP,2000,3056,0,3056,0,0,0,0,0,0,2,1,2.5,6,6,20,100,20,56, ,3,N,5,1,56158,261531,8944,8944,1901,0,0, , ,1.53,4,0,4,1,1007660020,0,81,984207,209143,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,239.4617387,2014.410681,205373,7,0,7753,7753,9,2025,21.88888931,25.49811172,3.609222412,23.36781502,1.657061241,210.3103352 +7754,MN,276,29,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,120 MADISON STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,"120 MADISON, LLC",830,4962,1654,3308,0,827,827,0,0,0,2,1,5,4,6,21.17,39.08,21,38, ,3,N,5,5,27416,99041,0,0,1900,1985,0, , ,5.98,3.44,0,6.5,1,1002760029,0,8,985737,198728,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,144.4706284,1046.386417,71625,16,0,7754,7754,6,1350,23.59300041,29.9244442,6.331443787,26.39450041,2.847000125,158.3670025 +7755,MN,935,43,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,332 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,GRILLO AWILDA,2106,2835,0,2835,0,0,0,0,0,0,2,1,3,3,3,21.33,98.75,21,45, ,3,N,5,2,61992,172800,0,0,1910,1980,2006, , ,1.35,3,0,3,1,1009350043,0,70,990780,209415,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,242.5336324,1999.081238,110808,10,0,7755,7755,9,2025,34.9711113,37.45111084,2.479999542,35.47933409,0.822854842,319.3140068 +7756,MN,439,30,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4A,189 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,189 AVENUE A LLC,1260,3690,923,2767,0,923,0,0,0,0,2,1,4,3,4,18,70,18,70,E,2,N,5,5,79156,118188,0,0,1900,1985,0, , ,2.93,4,0,4,1,1004390030,0,34,989324,204871,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,180.6093763,1346.956598,39032,12,0,7756,7756,6,1350,16.62800026,16.62800026,0,16.62800026,0,99.76800156 +7757,MN,583,44,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,17 ST LUKES PLACE,R6,C2-6, , , , , , , , ,Y,A4,1,0, ,ELLERBEE LINDA,1392,3024,0,2268,0,0,0,0,0,0,2,1,3,1,1,27,61.5,26.5,61.5, ,3,Y,5,1,38489,149299,0,0,1910,0,0,Greenwich Village Historic District, ,2.17,2.43,0,4.8,1,1005830044,0,67,982770,205326,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,198.7654345,1177.277904,110810,9,0,7757,7757,5,1125,15.38333321,17.97999954,2.596666336,15.90266647,1.038666534,79.51333237 +7758,MN,88,2,101,21,1011,2,1,10007,L010,1,15,7700,1,1, ,14 VESEY STREET,C5-3, , , , , ,LM, , , ,N,O7,5,0, ,COUNTY LAWYERS ASSOCI,7583,30000,30000,0,30000,0,0,0,0,0,2,1,4,0,4,75.08,101.33,75,99, ,3,Y,5,2,675000,2416950,0,0,1930,0,0, ,NEW YORK COUNTY LAWYERS ASSOCIATION,3.96,10,15,15,1,1000880002,0,21,981694,198647,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,361.0953483,7914.00152,1741950,3,0,7758,7758,35,7875,31.00333405,31.66511154,0.661777496,31.55275557,0.095659598,1104.346445 +7759,MN,416,64,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,153 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"ORCHARD REALTY,",2194,9357,1700,7657,0,1700,0,0,0,0,2,1,6,18,22,25.08,87.5,25,87,E,3,N,4,2,270000,1530000,0,0,1900,1986,0, , ,4.26,4,4,4,1,1004160064,0,3001,987266,201889,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.4538712,2293.174204,1260000,13,0,7759,7759,11,2475,34.84777832,37.28222275,2.434444427,35.5089902,0.90410791,390.5988922 +7760,MN,907,10,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,213 EAST 26 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,213 E. 26 LLC,2469,8845,0,8845,0,0,0,0,0,0,2,2,5,16,16,25.67,98.75,25,62, ,2,N,5,2,135000,918450,0,0,1910,2011,0, , ,3.58,4,0,4,1,1009070010,0,66,989536,209107,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,253.3459421,2633.263175,783450,11,0,7760,7760,12,2700,35.09000015,37.83333588,2.743335724,35.40863895,0.76343444,424.9036675 +7761,MN,850,7505,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,10 EAST 22 STREET,M1-5M, , , , , , , , , ,N,RM,4,0, , ,2592,10250,2415,7835,0,2415,0,0,0,0,2,1,5,4,5,26.25,98.75,0,0, ,0,N,5,5,100140,913589,4720,4720,1910,0,0, , ,3.95,0,5,6.5,1,1008507505,1043,56,987322,208933,8d, ,102 044,10306, ,1008500067,3/1/1999,1, , ,17V1.1,7,260.1782949,2724.005704,813449,11,0,7761,7761,12,2700,35.59999847,41.06000137,5.460002899,36.05499872,1.509065081,432.6599846 +7762,MN,890,65,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,251 LEXINGTON AVENUE,R10, , , , , , , , , ,N,C7,4,0, ,251 LEXINGTON I LLC,2083,8409,450,7959,0,450,0,0,0,0,2,1,5,12,15,25.83,100,25.38,60,E,3,N,5,2,129150,1308150,0,0,1923,1984,0, , ,4.04,10,0,10,1,1008900065,0,72,990034,211334,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,255.3962911,2667.480138,1179000,10,0,7762,7762,12,2700,37.79100037,48.1222229,10.33122253,40.30539831,4.154161143,483.6647797 +7763,MN,897,61,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,3 RUTHERFORD PLACE,R7B, , , , , , , , , ,N,C5,2,0, ,THE JAMES C. HAYS 200,1857,6404,0,6404,0,0,0,0,0,0,2,1,4,4,4,19.75,94,20,80,E,2,N,5,5,335606,526992,0,0,1900,2014,2014,Stuyvesant Square Historic District, ,3.45,3,0,3,1,1008970061,0,48,988485,206876,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,228.7441175,1950.746344,191386,5,0,7763,7763,9,2025,25.1044445,25.1044445,0,25.1044445,0,225.9400005 +7764,MN,344,76,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,106 RIDGE STREET,R7A, , , , , , , , , ,N,C7,4,0,P,106 RIDGE ST VENTURE,4513,22370,3200,19170,0,3200,0,0,0,0,2,1,6,20,23,90,50,90,50,E,2,Y,3,2,406350,2725650,0,0,1914,1985,0, , ,4.96,4,0,4,1,1003440076,0,2201,988923,201117,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,294.3341679,5033.715631,2319300,1,0,7764,7764,23,5175,17.05666733,22.32444382,5.267776489,17.74030005,1.659875225,408.0269012 +7765,MN,828,17,105,58,1002,2,3,10010,E001,13,15,5700,1,5,1B,25 WEST 26 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,25 WEST 26 ST INC,4906,28128,28128,0,23628,4500,0,0,0,0,2,2,7,0,6,50,98.75,50,96,E,3,N,5,2,742500,2440350,0,0,1900,1986,0,Madison Square North Historic District, ,5.73,0,10,10,1,1008280017,0,58,987060,210477,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,301.5160395,5010.307927,1697850,2,0,7765,7765,22,4950,42.13444519,42.13444519,0,42.13444519,0,926.9577942 +7766,MN,521,73,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,4 BLEECKER STREET,C6-1,C6-2, , , , ,LI, , , ,Y,S5,4,0, ,316 BOWERY NEXT GENER,2157,7592,0,7592,0,0,0,0,0,0,2,1,4,5,6,50.25,40.25,54,40, ,3,N,5,5,82420,386144,0,0,1910,1987,0,Noho East Historic District, ,3.52,3.44,6,6.5,1,1005210073,0,5502,986271,203498,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,195.8138215,2372.983123,303724,9,0,7766,7766,10,2250,43.41222,44.83889008,1.426670074,43.66588745,0.512252435,436.6588745 +7767,MN,2,23,101,9,1025,2,1,10004,L015,1,15,7700,1,1, ,1 PIER 6,C4-6, , , , , ,LM, , , ,N,T2,7,0,C,NYC DSBS,510025,24346,24346,0,0,0,0,0,0,24346,2,1,2,0,0,793.67,551,85,551, ,0,Y,5,5,15255450,17648550,15255450,17648550,1987,0,0, , ,0.05,10,3.4,10,1,1000020023,0,9,981687,194732,12b, ,101N100,10101, ,0, ,1,1,1,17V1.1,0,2949.87671,96902.42104,2393100,17,1,7767,7767,343,77175,0,7.320111275,7.320111275,2.958858596,2.19842187,1014.888499 +7768,MN,561,9,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,30 EAST 10 STREET,R7-2, , , , , , , , , ,N,D0,3,0, ,LITTLEPARK HOUSE CORP,4243,43010,5500,37510,0,5500,0,0,0,0,2,1,12,22,24,46,92.25,46,92, ,1,N,3,2,268200,5700600,58160,58160,1909,1984,0, , ,10.14,3.44,0,6.5,1,1005610009,0,59,986108,206064,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,280.8697459,4383.982344,5432400,8,0,7768,7768,19,4275,32.25444412,36.6566658,4.40222168,32.48614,0.983002359,617.23666 +7769,MN,520,24,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,203 WEST HOUSTON STREET,R6, , , , , , , , , ,N,A4,1,0,P,"JACOBSEN DERSTINE, CO",1138,2380,0,1785,0,0,0,0,0,0,2,1,3,1,1,17.5,65,17.5,35, ,3,N,5,1,32018,139679,1550,1550,1899,2013,0, , ,2.09,2.43,0,4.8,1,1005200024,0,37,983114,204619,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,162.0600012,1041.903585,107661,9,0,7769,7769,4,900,16.76099968,16.76099968,0,16.76099968,0,67.04399872 +7770,MN,561,11,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,32 EAST 10 STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,108 REALTY OF NY,2537,8860,2720,6140,0,2720,0,0,0,0,2,1,5,4,5,27.5,92.25,28,88, ,3,N,5,5,307637,1090713,0,0,1900,2008,2008, , ,3.49,3.44,0,6.5,1,1005610011,0,59,986141,206046,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,242.9966446,2611.468875,783076,8,0,7770,7770,12,2700,32.25444412,36.88999939,4.635555267,32.64074039,1.281199793,391.6888847 +7771,MN,884,39,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,394 3 AVENUE,C2-8, , , , , , , , , ,N,S3,4,0,P,3 & 28 REALTY CORP,1590,4590,2000,2590,0,2000,0,0,0,0,2,1,4,3,4,25,63.58,25,63,E,2,N,3,5,260296,604175,0,0,1910,0,0, , ,2.89,10,2,10,1,1008840039,0,72,989503,209672,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,188.8903205,1814.330187,343879,11,0,7771,7771,9,2025,37.06100082,37.41422272,0.353221893,37.1002477,0.111006932,333.9022293 +7772,MN,518,7502,102,49,3000,2,3,10012,L020,1,15,6800,1,2, ,199 PRINCE STREET,R7-2, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,5425,16418,2758,13660,0,1258,0,0,0,1500,2,1,6,27,28,50,100,0,0, ,0,Y,5,5,378001,2328752,10658,17298,1900,0,0,Sullivan-Thompson Historic District, ,3.03,3.44,0,6.5,1,1005187502,670,49,983510,204096,12a, ,101N068,10206, ,1005180047,12/9/1989,1, , ,17V1.1,7,311.8835175,4829.908866,1950750,9,0,7772,7772,21,4725,20.52111053,20.52111053,0,20.52111053,0,430.9433212 +7773,MN,452,33,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,171 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,MIB ENTERPRISES,2317,10425,2085,8340,0,2085,0,0,0,0,2,1,5,4,5,23.17,100,23.17,90, ,0,N,5,5,50038,500588,0,0,1900,2009,0, , ,4.5,4,0,4,1,1004520033,0,40,988541,204961,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,249.4244879,2407.176629,450550,12,0,7773,7773,10,2250,22.86222267,22.86222267,0,22.86222267,0,228.6222267 +7774,MN,377,16,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,368 EAST 8 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,TENANTS OF 368 E 8TH,4680,19632,1000,18632,0,1000,0,0,0,0,2,1,6,30,32,48,97.5,48,80, ,2,N,5,2,225000,1416150,225000,1416150,1923,1983,0, , ,4.19,4,0,4,1,1003770016,0,2602,990432,203103,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,298.2077487,4875.972958,1191150,12,1,7774,7774,22,4950,8.443333626,9.769999504,1.326665878,8.536151756,0.30218152,187.7953386 +7775,MN,913,28,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,251 EAST 32 STREET,C1-8A, , , , , , , , , ,N,D4,3,0, ,RIVERVIEW EAST OWNERS,12344,175000,13500,161500,9000,4500,0,0,0,0,2,1,20,164,167,100,123.44,80,123, ,2,N,3,2,1561950,16794450,164091,164091,1964,1983,0, , ,14.18,7.52,2,7.5,1,1009130028,0,70,990632,210282,8d, ,104 021,10308, ,0, ,1, , 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,17V1.1,0,556.6956456,14021.68253,11943500,10,0,7799,7799,63,14175,38.80799866,42.7555542,3.947555542,38.93592465,0.658649934,2452.963253 +7800,MN,594,82,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,285 HUDSON STREET,C6-2A, , , , , , , , , ,N,L8,6,0,P,INTERSTATE CASING COR,2250,6125,6125,0,1600,1500,0,3025,0,0,2,1,4,0,2,25,90,25,53, ,3,N,5,2,193050,826650,0,0,1970,0,0, , ,2.72,6.02,6,6.5,1,1005940082,0,37,982050,203611,12a, ,101N063,10208,E-116,0, ,1, , ,17V1.1,0,228.8786822,2197.588879,633600,0,1,7800,7800,9,2025,9.168000221,9.168000221,0,9.168000221,0,82.51200199 +7801,MN,451,44,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,335 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,KUSHNER VILLAGE 329 E,2306,6510,1100,5410,0,1100,0,0,0,0,2,1,5,8,10,25,92.25,25,48, ,3,N,5,2,33267,162611,0,0,1900,1983,0, , ,2.82,4,0,4,1,1004510044,0,40,988247,204769,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,243.0549431,2422.302253,129344,12,0,7801,7801,10,2250,23.10400009,24.49888992,1.394889832,23.47199993,0.535655439,234.7199993 +7802,MN,885,7501,105,72,3001,2,2,10016,E016,14,14,5300,1,5, ,117 EAST 29 STREET,C4-5A, , , , , , , , , ,N,RM,4,0, , ,4938,26645,1844,24801,0,1291,0,553,0,0,2,1,6,16,17,50,98.75,50,88.75, ,0,N,5,5,1327495,3723459,53578,297146,1920,1986,0, , ,5.4,4,4,4,1,1008857501,1740,72,989086,210239,8d, ,104 019,10307, ,1008850014,8/31/2007,1, , ,17V1.1,7,303.4424119,5127.906022,2395960,11,0,7802,7802,23,5175,32.84000015,32.84000015,0,32.84000015,0,755.3200035 +7803,MN,637,19,102,75,1001,2,3,10014,L005,6,15,6400,1,2,2K,160 PERRY STREET,R6A, , , ,C1-5, , , , , ,N,S2,4,0, ,WILLIAM GOTTLIEB,1600,5040,1640,1760,1640,0,0,0,0,0,2,1,3,2,3,20,81,20,36,E,3,Y,5,2,77924,186390,0,0,1901,0,0, , ,3.15,3,0,3,1,1006370019,0,75,981742,206884,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,203.6261416,1609.481514,108466,9,1,7803,7803,8,1800,10.04599953,12.11999989,2.074000359,10.30524957,0.685911146,82.44199657 +7804,MN,385,42,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,15 AVENUE C,R7A, , , ,C2-5, , , , , ,N,S3,4,0,P,15 AVENUE C CORP.,1044,3815,800,3015,0,800,0,0,0,0,2,1,4,3,4,20.08,52,20,52, ,2,N,3,5,36031,245580,0,0,1900,1989,0, , ,3.65,4,0,4,1,1003850042,0,2202,989463,202026,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,152.4830087,1194.895898,209549,1,0,7804,7804,4,900,14.97222233,14.97222233,0,14.97222233,0,59.88888931 +7805,MN,569,7,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,2 EAST 12 STREET,C6-1, , , , , , , , , ,N,C6,2,0, ,2 EAST 12TH ST OWNERS,2581,7600,0,7600,0,0,0,0,0,0,2,1,5,10,10,25,103.25,25,88,E,2,N,5,1,160257,602087,2360,2360,1900,0,0, , ,2.94,3.44,6,6.5,1,1005690007,0,61,985875,206779,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,266.1005497,2680.419602,441830,8,0,7805,7805,11,2475,31.75222206,35.03666687,3.284444809,33.90622312,0.955673217,372.9684544 +7806,MN,350,34,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,160 STANTON STREET,R7A, , , , , , , , , ,N,C2,2,0,P,158-60 STANTON STREET,2500,6875,0,6875,0,0,0,0,0,0,2,1,5,6,6,25,100,25,52, ,3,N,5,5,57443,222032,0,0,1900,0,0, , ,2.75,4,0,4,1,1003500034,0,3001,988450,201797,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,254.8066964,2542.808011,164589,1,0,7806,7806,11,2475,22.40999985,27.67888832,5.268888474,24.24494934,2.053833343,266.6944427 +7807,MN,850,39,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,268 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D6,4,0, ,270 PARK AVE SOUTH LL,7406,109393,24990,84403,0,10626,0,0,0,14364,2,1,13,74,77,98.75,75,99,75, ,3,N,3,2,1759500,15058350,0,0,1927,1979,0, , ,14.77,10,10,10,1,1008500039,0,56,987729,208588,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,359.1303418,7863.77505,13298900,5,0,7807,7807,36,8100,35.53110886,35.84666824,0.315559387,35.60493681,0.042398184,1281.777725 +7808,MN,589,30,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,327 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,J3,5,0, ,323 SIXTH LLC,1625,3750,3750,0,0,0,0,0,0,3750,2,1,3,0,1,23.5,63.42,23.5,62, ,3,Y,5,2,225000,830250,0,0,1920,2009,2004,Greenwich Village Historic District Exte, ,2.31,3.44,0,6.5,1,1005890030,0,67,983808,205711,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,194.7656258,1715.545046,605250,9,0,7808,7808,8,1800,15.87222195,20.69666672,4.824444771,16.47527754,1.595535135,131.8022203 +7809,MN,451,45,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,333 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,KUSHNER VILLAGE 329 E,2306,8735,1310,7425,0,1310,0,0,0,0,2,1,5,8,10,25,92.25,25,92, ,3,N,5,2,33869,176177,0,0,1900,0,0, , ,3.79,4,0,4,1,1004510045,0,40,988225,204781,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.8238151,2411.154988,142308,12,0,7809,7809,12,2700,23.10400009,24.34000015,1.236000061,23.2070001,0.34161237,278.4840012 +7810,MN,386,62,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,217 EAST 3 STREET,R8B, , , , , , , , , ,N,S4,4,0, ,217 EAST 3RD STREET C,2212,6560,1500,5060,0,1500,0,0,0,0,2,2,4,4,5,23,96.17,23,56, ,2,N,5,5,11939,81664,0,0,1900,0,0, , ,2.97,4,0,4,1,1003860062,0,2601,989191,202530,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,243.2670739,2206.162364,69725,1,0,7810,7810,10,2250,14.43666649,17.85977745,3.423110962,15.23664455,1.155185342,152.3664455 +7811,MN,480,39,102,41,6003,2,1,10013,E055,5,15,6800,1,2,1A,376 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,S5,4,0,P,MILDRED DERRICO,2725,15274,4364,10910,0,2182,0,2182,0,0,2,1,6,5,6,25.33,111.67,25,106, ,3,Y,5,5,24084,500033,0,0,1910,1988,2011, , ,5.61,6.02,6,6.5,1,1004800039,0,41,985297,201784,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,273.753181,2842.073901,475949,0,0,7811,7811,13,2925,33.11000061,33.11000061,0,33.11000061,0,430.4300079 +7812,MN,555,122,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,86 EAST 10 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,ELK MAS 86 EAST 10TH,1860,5000,2800,2200,0,600,0,2200,0,0,2,1,4,2,5,20,96.5,20,55, ,3,Y,5,1,97200,829350,0,0,1910,0,0, , ,2.69,6.02,6,6.5,1,1005550122,0,42,987055,205539,12c, ,102 017,10207,E-254,1005550021,12/19/1986,1, , ,17V1.1,0,228.0938298,1862.571151,732150,12,0,7812,7812,9,2025,38.18777847,38.63444519,0.446666718,38.23740811,0.140373807,344.136673 +7813,MN,586,59,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,8 MORTON STREET,R7-2, , , ,C1-5, , , , , ,N,A4,1,0, ,IAN G BANWELL,2250,2250,0,2250,0,0,0,0,0,0,2,1,3,1,1,25,90,25,34, ,3,N,5,2,24989,174873,0,0,1899,0,0,Greenwich Village Historic District Exte, ,1,3.44,0,6.5,1,1005860059,0,67,983302,205669,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,231.9832077,2242.945254,149884,9,0,7813,7813,11,2475,17.38400078,19.74555588,2.361555099,17.59868761,0.678899358,193.5855637 +7814,MN,331,140,103,12,3002,1,1,10002,L018,7,14,7600,1,3,2B,285 DELANCEY STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,16354,62725,62725,0,0,0,0,0,0,62725,2,1,5,0,1,100,144.75,62,145, ,2,Y,5,2,598500,3861450,598500,3861450,1910,0,0, , ,3.84,3.44,0,6.5,1,1003310140,0,12,989814,199875,12d, ,101N082,10201, ,0, ,1, , ,17V1.1,0,556.9679552,17420.93285,3262950,13,1,7814,7814,78,17550,12.94333363,16.06666756,3.123333931,13.96009812,0.926563897,1088.887653 +7815,MN,910,30,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,529 2 AVENUE,C1-8A, , , , , , , , , ,N,S3,4,0, ,"I T REALTY,",1742,3597,900,2697,0,900,0,0,0,0,2,1,4,3,4,17.42,100,17,50, ,2,N,5,5,96586,291421,0,0,1910,0,0, , ,2.06,7.52,2,7.5,1,1009100030,0,70,990269,209624,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,243.6618987,1890.35434,194835,10,0,7815,7815,8,1800,34.37666702,36.53777695,2.161109924,35.40625,1.031654896,283.25 +7816,MN,379,37,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,133 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,237 EM-D HENRY STREET,3481,14588,1000,13588,0,1000,0,0,0,0,2,1,6,20,22,42.5,93,43,80, ,1,Y,5,2,78750,1378350,0,0,1930,1984,0, , ,4.19,6,0,6,1,1003790037,0,28,990981,203261,12c, ,102 023,10202, ,0, ,1,1,1,17V1.1,0,279.0646423,3718.261735,1299600,12,1,7816,7816,16,3600,7.409999847,12.55888844,5.148888588,8.292951524,1.252112578,132.6872244 +7817,MN,614,21,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,22 BANK STREET,R6, , , , , , , , , ,N,B1,1,0, ,CARTER GRAYDON,1784,3200,0,2400,0,0,0,0,0,0,2,1,3,2,2,19.17,93.08,19.17,42,E,3,Y,5,1,57190,216345,0,0,1910,0,0,Greenwich Village Historic District, ,1.79,2.43,0,4.8,1,1006140021,0,77,983582,207725,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,234.8226448,1966.479735,159155,8,0,7817,7817,9,2025,26.80333328,30.16111183,3.357778549,27.35506185,1.111554914,246.1955566 +7818,MN,621,19,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,378 BLEECKER STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,LIPSITZ BARRY,1498,3941,1025,2916,0,1025,0,0,0,0,2,1,4,8,9,21.25,70,21,38, ,3,N,5,2,50572,278391,0,0,1901,2005,0,Greenwich Village Historic District, ,2.63,3.44,2,6.5,1,1006210019,0,73,982845,207059,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,191.3782642,1649.616083,227819,8,0,7818,7818,7,1575,21.76222229,25.64777756,3.885555267,22.61158725,1.319046893,158.2811108 +7819,MN,348,53,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,173 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,175 RIVINGTON STREET,3600,14701,1800,12901,0,1800,0,0,0,0,2,1,6,26,28,40,100,40,87, ,3,Y,5,2,26550,255600,2360,2360,1920,1987,0, , ,4.08,4,0,4,1,1003480053,0,1402,988486,201144,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,284.9163352,3653.98166,229050,13,0,7819,7819,15,3375,23.08555603,23.97555542,0.88999939,23.1678744,0.232282127,347.518116 +7820,MN,939,44,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,328 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0, ,N-WAY TRANSACTION LLC,2798,13044,2000,11044,0,2000,0,0,0,0,2,1,6,22,24,28.33,98.75,28,86, ,3,N,5,2,321750,1427400,0,0,1950,1982,0, , ,4.66,10,2,10,1,1009390044,0,70,991275,210320,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,264.1739032,3080.251355,1105650,10,1,7820,7820,15,3375,10.03999996,12.16222191,2.122221947,10.18148143,0.529375162,152.7222214 +7821,MN,463,42,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,31 EAST 7 STREET,R8B, , , , , , , , , ,N,O2,5,0, ,HEBREW ACTORS UNION,1950,6292,6292,0,6292,0,0,0,0,0,2,1,4,1,4,26,75,26,75,E,3,N,5,2,175500,533700,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.23,4,0,4,1,1004630042,0,38,987300,204711,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,208.2383998,2042.794184,358200,12,0,7821,7821,9,2025,34.15777969,34.15777969,0,34.15777969,0,307.4200172 +7822,MN,174,14,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3A,253 CHURCH STREET,C6-2A, , , , , , , , , ,N,L8,6,0,P,IRAYMOND-253 CHURCH L,2881,16536,9618,6918,6918,2700,0,0,0,0,2,1,6,5,8,50.17,65,50,58, ,3,Y,5,2,157050,946350,0,0,1915,0,0,Tribeca East Historic District, ,5.74,6.02,6,6.5,1,1001740014,0,33,982774,200813,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,240.9098252,3150.649561,789300,14,0,7822,7822,13,2925,21.5755558,24.05666733,2.481111526,21.92709424,0.82801141,285.0522251 +7823,MN,486,23,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,71 GREENE STREET,M1-5A, , , , , , , , , ,N,D7,4,0, ,71-73 GREENE STREET O,3750,16477,3300,13177,0,3300,0,0,0,0,2,1,5,4,5,37.5,100,38,100,E,3,N,5,2,246212,1937196,0,0,1900,2015,0,SoHo-Cast Iron Historic District, ,4.39,0,5,6.5,1,1004860023,0,49,983979,202851,12c,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,288.5635366,4034.405728,1690980,0,0,7823,7823,18,4050,11.1744442,12.02444458,0.850000381,11.22166644,0.194702297,201.989996 +7824,MN,913,6,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,207 EAST 32 STREET,R8B, , , , , , , , , ,N,O2,5,0, ,THE JACQUELINE SHIRLE,2454,9535,9535,0,9535,0,0,0,0,0,2,1,4,0,3,24.5,98.75,24.5,98, ,2,Y,5,2,90000,796050,0,0,1920,0,0, , ,3.89,4,0,4,1,1009130006,0,70,990239,210480,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,241.5569,2424.190566,706050,10,0,7824,7824,10,2250,19.78333282,19.78333282,0,19.78333282,0,197.8333282 +7825,MN,583,48,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,12 1/2 ST LUKES PLACE,R6, , , , , , , , , ,N,B1,1,0, ,NANCY A LANGSAN,2167,3990,0,2877,0,0,0,0,0,0,2,1,2,2,2,21.67,100,21.67,42,E,3,N,5,1,69532,196714,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.84,2.43,0,4.8,1,1005830048,0,67,982688,205356,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,246.698923,2072.709236,127182,9,0,7825,7825,8,1800,15.38333321,18.46666718,3.083333969,16.88744426,1.421552645,135.0995541 +7826,MN,515,7,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,463 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K1,5,0, ,"FROI, LLC",2500,2250,2250,0,0,2250,0,0,0,0,2,1,1,0,1,25,100,25,88, ,3,N,5,0,787500,1512450,0,0,1937,2015,0,SoHo-Cast Iron Historic District, ,0.9,0,5,6.5,1,1005150007,0,49,984213,203865,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,260.1997862,2714.402588,724950,9,0,7826,7826,14,3150,20.20444489,23.14777756,2.943332672,20.41468293,0.758024062,285.8055611 +7827,MN,913,38,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,250 EAST 33 STREET,C1-8A, , , , , , , , , ,N,B9,1,0, ,MANISI MANHATTAN PROP,1233,4395,0,3630,0,0,0,0,0,0,2,1,5,2,2,16.67,74,16.67,45, ,3,N,5,1,54620,119733,0,0,1901,2007,0, , ,3.56,7.52,2,7.5,1,1009130038,0,70,990658,210383,8d, ,104 021,10308, ,0, ,1, , 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CONDO,3812,14835,3025,11810,0,0,0,0,0,3025,2,1,5,5,5,0.08,0,0,0, ,0,N,0,5,68261,979450,0,0,1910,0,0,Tribeca South Historic District Extensio, ,3.89,7.52,6,7.5,1,1001337502,987,21,981742,199566,12b, ,115 017,10104, ,1001330024,12/24/1997,1, , ,17V1.1,7,261.3645478,4039.789587,911189,3,0,7832,7832,18,4050,25.60300064,27.84444427,2.241443634,25.7766055,0.540680997,463.978899 +7833,MN,603,62,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,463 HUDSON STREET,C1-6, , , , , , , , , ,N,S5,4,0, ,93 BARROW LLC,1445,3756,720,3036,0,720,0,0,0,0,2,2,3,5,6,22.58,64,23,64, ,2,N,3,5,187525,375329,0,0,1920,0,0,Greenwich Village Historic District, ,2.6,3.44,2,6.5,1,1006030062,0,69,982333,205811,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,184.3614098,1675.259019,187804,9,0,7833,7833,6,1350,15.32666683,15.32666683,0,15.32666683,0,91.96000099 +7834,MN,930,34,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,421 1 AVENUE,R8, , , ,C2-5, , , , , ,N,W5,8,0,P,NEW YORK UNIVERSITY,12350,87515,87515,0,87515,0,0,0,0,0,2,2,11,0,3,125,98.75,97,122, ,2,Y,3,2,1687500,8135550,1687500,8135550,1929,1984,0, , ,7.09,6.02,0,6.5,1,1009300034,0,66,990323,208199,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,460.5704113,13117.68934,6448050,11,0,7834,7834,59,13275,15.02444458,18.05999947,3.035554886,15.90862156,0.705900982,938.6086721 +7835,MN,552,7501,102,65,1000,2,1,10011,E033,6,15,5700,2,2, ,126 WAVERLY PLACE,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,BLOCKBUSTER VIDEO,16925,57826,24303,33523,0,24303,0,0,0,0,2,1,5,28,29,194.91,93.48,0,0, ,0,Y,5,5,2128497,11933996,21240,21240,1986,0,0,Greenwich Village Historic District, ,3.42,3.44,0,6.5,1,1005527501,349,65,984249,206142,12c, ,103 018,10207, ,1005520037,12/25/1986,1, , ,17V1.1,7,572.5690316,17369.48698,9805500,9,0,7835,7835,78,17550,17.50333405,17.50333405,0,17.50333405,0,1365.260056 +7836,MN,227,20,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,43 GRAND STREET,M1-5A, , , , , , , , , ,N,K1,5,0, ,45 GRAND ST. FAMILY L,3340,3996,3996,0,0,3996,0,0,0,0,2,1,1,0,1,34.58,96.58,35,97, ,3,N,5,0,160650,1322550,0,0,1920,0,0, , ,1.2,0,5,6.5,1,1002270020,0,47,983091,202447,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,263.9707284,3344.693346,1161900,0,1,7836,7836,15,3375,9.686666489,9.686666489,0,9.686666489,0,145.2999973 +7837,MN,452,27,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,340 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,VILLAGE JV 338 EAST 1,2369,9515,1903,7612,0,1903,0,0,0,0,2,1,5,16,18,25,94.75,25,82, ,3,N,5,2,270000,1690650,0,0,1900,1987,0, , ,4.02,4,0,4,1,1004520027,0,40,988503,205023,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,242.2239488,2418.206514,1420650,12,0,7837,7837,11,2475,22.86222267,24.45555496,1.593332291,23.04070733,0.459761054,253.4477806 +7838,MN,520,26,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,199 WEST HOUSTON STREET,R6, , , , , , , , , ,N,B9,1,0, ,TAMILLA F GHODSI,1257,2660,0,1995,0,0,0,0,0,0,2,1,3,2,2,19.33,65,19.33,35, ,3,N,5,1,38616,117993,0,0,1899,0,0, , 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,17V1.1,0,206.7847414,1884.118376,559425,0,1,7873,7873,8,1800,9.686666489,10.55277824,0.866111755,9.794930458,0.286439539,78.35944366 +7874,MN,634,55,102,75,3000,2,3,10014,L005,6,15,6400,1,2,2K,767 GREENWICH STREET,C1-6, , , , , , , , , ,N,A5,1,0, ,KALINSKY JEFFREY,1428,2728,0,2728,0,0,0,0,0,0,2,1,3,1,1,21,68,21,68,E,3,N,5,2,60782,188739,0,0,1930,2006,0,Greenwich Village Historic District, ,1.91,3.44,2,6.5,1,1006340055,0,75,982463,207502,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,182.6721705,1499.904716,127957,8,0,7874,7874,7,1575,18.61700058,20.59444427,1.977443695,19.09007972,0.767510509,133.630558 +7875,MN,141,15,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,315 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0,P,"315 GREENWICH STREET,",1434,6545,1150,5395,0,1150,0,0,0,0,2,1,5,5,6,17.08,70,17,70, ,3,Y,3,5,240966,587257,0,0,1930,1981,0,Tribeca West Historic District, ,4.56,6.02,6,6.5,1,1001410015,0,39,981334,200476,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,185.0896165,1574.432814,346291,14,0,7875,7875,7,1575,16.8029995,16.8029995,0,16.8029995,0,117.6209965 +7876,MN,24,1,101,9,1001,2,1,10004,L015,1,15,7700,1,1,1B,60 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,PIEDMONT 60 BROAD STR,44757,974958,974958,0,957364,17594,0,0,0,0,2,1,38,0,0,214.08,245.92,214.08,245.83, ,0,Y,3,2,20160000,108706050,0,0,1961,0,0, , ,21.78,10,15,15,1,1000240001,0,9,980923,196241,12b, ,101S004,10101, ,0, ,1, ,1,17V1.1,0,891.7366704,47719.78639,88546000,17,1,7876,7876,214,48150,10.62222195,13.39488888,2.772666931,12.78503226,0.288759061,2735.996904 +7877,MN,307,11,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,84 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C4,2,0, ,BEST CHOW REALTY INC.,2216,9039,2000,7039,0,2000,0,0,0,0,2,2,5,8,10,25.33,87.5,25,86,E,2,N,5,2,98404,311351,0,0,1920,0,0, , ,4.08,3.44,6,6.5,1,1003070011,0,16,986396,200529,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,232.4496962,2269.599575,212947,13,0,7877,7877,10,2250,39.60333252,41.02555466,1.422222137,39.74555473,0.426666641,397.4555473 +7878,MN,675,29,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,301 11 AVENUE,M2-3, , , , , , , , , ,N,K1,5,0,P,WEST SIDE 11TH & 29TH,9875,9875,9875,0,0,9875,0,0,0,0,2,1,1,0,3,98.75,100,98.75,100, ,2,N,3,0,888750,1022400,0,0,1936,1988,0, , ,1,0,2,0,1,1006750029,0,99,983017,213600,8b, ,105S013,10301, ,0, ,1, ,1,17V1.1,0,411.6401127,10588.78593,133650,6,1,7878,7878,47,10575,10.87300015,13.31999969,2.44699955,10.92506397,0.353114009,513.4780064 +7879,MN,576,9,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,502 AVENUE OF THE AMER,C6-2, , , , , , , , , ,N,K1,5,0,P,VRAHOS LLC,2000,1880,1880,0,0,1880,0,0,0,0,2,1,1,0,2,20,100,20,90,E,3,N,5,2,180000,433800,0,0,1920,1985,0, , ,0.94,6.02,6,6.5,1,1005760009,0,63,985040,207563,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,251.2252091,2118.805496,253800,8,0,7879,7879,10,2250,23.70299912,25.21888924,1.515890121,23.85458813,0.454767036,238.5458813 +7880,MN,692,23,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,513 WEST 20 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0,P,513 WEST 20TH STREET,9200,83240,83240,0,74040,9200,0,0,0,0,2,1,7,0,13,100,92,100,92, ,3,N,5,2,900000,5813100,0,0,1910,1988,0, , ,9.05,0,5,6.5,1,1006920023,0,99,982512,211197,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,385.908141,9302.529666,4913100,7,1,7880,7880,42,9450,7.93999958,8.291999817,0.352000237,8.277333146,0.06629039,347.6479921 +7881,MN,97,5,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,111 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,MIKE SIEGEL TRUST,1229,4133,4133,0,0,0,0,4133,0,0,2,1,4,0,1,16.67,74.58,17,75, ,3,Y,5,0,96750,426150,0,0,1900,0,0,South Street Seaport Historic District, ,3.36,6.02,6,6.5,1,1000970005,0,1501,983716,196919,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,192.3380135,1317.274409,329400,4,1,7881,7881,7,1575,5.993332863,5.993332863,0,5.993332863,0,41.95333004 +7882,MN,562,13,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,58 EAST 11 STREET,C6-1, , , , , , , , , ,N,O8,5,0,P,MARS RESEARCH & DVLPM,2006,14936,13046,1890,11346,1700,0,0,0,0,2,1,8,1,8,21.17,94.75,21,94, ,3,N,5,2,765000,1774350,0,0,1900,1985,0, , ,7.45,3.44,6,6.5,1,1005620013,0,61,986306,206240,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,243.0303504,2150.15114,1009350,8,0,7882,7882,10,2250,34.39444351,34.39444351,0,34.39444351,0,343.9444351 +7883,MN,306,1,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,119 HESTER STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"DK HESTER STREET, LLC",3392,17025,2725,14300,0,2725,0,0,0,0,2,2,6,25,29,67.25,50.33,65,115, ,3,Y,3,2,229500,1513350,0,0,1910,0,0, , ,5.02,3.44,6,6.5,1,1003060001,0,16,986077,200425,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,244.6349007,3667.469917,1283850,13,0,7883,7883,16,3600,37.59777832,40.16422272,2.566444397,37.83314633,0.66796953,605.3303413 +7884,MN,618,33,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,48 7 AVENUE,C6-3A,C2-6, , , , , , , , ,Y,D6,4,0, ,56 7TH AVENUE LLC,11250,142204,10000,132204,0,10000,0,0,0,0,2,1,20,159,162,112.5,100,113,98, ,3,N,5,2,1053000,15556500,0,0,1931,1988,0, , ,12.64,7.52,6,7.5,1,1006180033,0,77,984188,208284,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,427.1847471,11376.00684,14503500,8,0,7884,7884,51,11475,22.30444527,22.30444527,0,22.30444527,0,1137.526709 +7885,MN,219,11,101,39,1014,2,1,10013,L008,1,15,7700,1,1,3B,437 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,47 VESTRY STREET CORP,5176,25580,0,25580,0,0,0,0,0,0,2,1,5,10,10,75,65.25,75,65, ,2,Y,3,2,670256,1766700,11800,11800,1915,2008,0,Tribeca North Historic District, ,4.94,6.02,6,6.5,1,1002190011,0,39,981629,202527,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,294.8989032,5370.523654,1096440,0,1,7885,7885,22,4950,10.46666718,11.78611088,1.319443703,10.52664189,0.274838666,231.5861216 +7886,MN,459,43,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,13 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,COOPER SQUARE MUTUAL,2175,7500,0,7500,0,0,0,0,0,0,2,1,5,10,10,25,87,25,60, ,0,N,5,5,101400,413062,101400,413062,1920,1996,0,East Village/Lower East Side Historic Di, ,3.45,4,0,4,1,1004590043,0,38,986797,203852,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,232.2952642,2278.684255,311662,1,0,7886,7886,10,2250,35.86666489,40.95222092,5.08555603,37.02315483,1.766728007,370.2315483 +7887,MN,309,11,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,323 GRAND STREET,C6-2, , , , , , , , , ,N,W1,8,0, ,YMBW CORP,1614,6456,6456,0,0,0,0,0,0,6456,2,1,4,0,1,22.5,71.75,23,72, ,3,N,3,2,97200,331650,0,0,1920,1985,0, , ,4,6.02,6,6.5,1,1003090011,0,16,986832,200494,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,199.2388041,1845.463791,234450,13,0,7887,7887,8,1800,34.44444275,39.22333145,4.778888702,35.61902618,2.034836852,284.9522095 +7888,MN,738,66,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,348 WEST 15 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,SACKER ANDREA,1528,4257,0,4257,0,0,0,0,0,0,2,1,4,6,6,18.75,81.5,19,52,E,3,N,5,5,61999,289673,2360,2360,1900,0,0, , ,2.79,4,0,4,1,1007380066,0,83,983155,209255,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,208.9464587,1548.929377,227674,7,0,7888,7888,7,1575,16.15333366,18.24555588,2.092222214,16.85412734,0.846920938,117.9788914 +7889,MN,200,32,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,76 BAYARD STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,BAYARD OPERATING CO I,800,3200,1600,1600,800,800,0,0,0,0,2,1,4,2,5,16,50,16,50, ,3,N,3,2,113400,409050,0,0,1900,1988,0, , ,4,3.44,6,6.5,1,1002000032,0,29,984659,200057,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,137.3790912,880.0760986,295650,14,0,7889,7889,5,1125,28.79299927,32.43700027,3.644001007,29.52179947,1.457600403,147.6089973 +7890,MN,773,66,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,232 WEST 24 STREET,R8A, , , , , , , , , ,N,C1,2,0,P,24TH STREET HOLDING,2634,10350,0,10350,0,0,0,0,0,0,2,1,5,17,17,26.67,98.75,27,85, ,2,N,5,2,135000,1015650,0,0,1920,1975,0, , ,3.93,6,0,6,1,1007730066,0,91,985167,210760,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,258.483195,2678.081255,880650,2,0,7890,7890,11,2475,23.38899994,27.10777664,3.718776703,23.72707055,1.069073136,260.997776 +7891,MN,630,51,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,135 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,CHRISTOPHER REALTY,2225,8240,2100,6140,0,2100,0,0,0,0,2,1,4,9,10,26,91.92,26,90, ,3,Y,5,2,193081,622057,0,0,1911,1980,0,Greenwich Village Historic District, ,3.7,2.43,0,4.8,1,1006300051,0,75,982321,206389,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,232.2451714,2246.895777,428976,9,0,7891,7891,10,2250,18.16222191,18.16222191,0,18.16222191,0,181.6222191 +7892,MN,802,8,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,151 WEST 26 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,ABNER PROPERTIES CO,15208,179131,179131,0,0,14850,0,164281,0,0,2,1,12,0,15,150.08,107.5,150,99, ,3,Y,5,2,2767500,13788000,0,0,1911,1989,0, , ,11.78,0,10,10,1,1008020008,0,95,986113,211004,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,521.5943299,15611.02185,11020500,2,0,7892,7892,69,15525,32.50999832,33.25611115,0.746112823,32.52081155,0.089168173,2243.935997 +7893,MN,621,38,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,377 BLEECKER STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,EVGER BLEECKR ST.RLTY,3080,10874,1539,9335,0,1539,0,0,0,0,2,1,5,17,19,37.75,81.58,38,82,E,3,N,5,2,168750,2092050,0,0,1910,1986,2005,Greenwich Village Historic District, ,3.53,3.44,2,6.5,1,1006210038,0,73,982965,207091,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,244.877681,3185.550474,1923300,8,0,7893,7893,14,3150,24.81222343,26.13777733,1.325553894,24.95165185,0.366192874,349.3231258 +7894,MN,754,13,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,351 WEST 30 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,THE TAMARA II TRUST,1333,2028,0,2028,0,0,0,0,0,0,2,1,3,1,1,13.5,98.75,13.5,52, ,2,N,5,2,32085,88094,0,0,1901,2015,0, , ,1.52,4,0,4,1,1007540013,0,103,985024,212778,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,240.7013352,1352.891479,56009,6,0,7894,7894,6,1350,33.70700073,33.70700073,0,33.70700073,0,202.2420044 +7895,MN,742,7501,104,89,2001,2,3,10011,L012,10,15,5600,1,4, ,305 WEST 18 STREET,R7B, , , , , , , , , ,N,R4,3,0, ,305 CONDOMINIUM,11236,35239,0,35239,0,0,0,0,0,0,2,1,6,60,60,103,114,0,0, ,0,Y,5,5,503108,4858209,41944,72126,1950,0,0, , ,3.14,3,0,3,1,1007427501,142,89,983922,209869,8b,Y,103 037,10303, ,1007420028,12/19/1984,1, , ,17V1.1,7,442.6272529,11668.52319,4355100,7,0,7895,7895,52,11700,15.59444427,20.54777718,4.953332901,15.79414514,0.834420745,821.2955475 +7896,MN,196,29,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3A,78 WALKER STREET,M1-5, , , , , , , , , ,N,L2,6,0, ,TUNGHAR INC,4551,41200,41200,0,0,0,0,41200,0,0,2,1,8,0,8,48,101.75,48,102, ,2,Y,3,2,409500,863460,0,0,1915,1982,0,Tribeca East Historic District, ,9.05,0,5,6.5,1,1001960029,0,31,983810,201019,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,310.0929895,5207.650843,453960,14,0,7896,7896,23,5175,14.39799976,15.39666653,0.998666763,14.47216403,0.234962321,332.8597727 +7897,MN,528,1,102,67,2005,2,3,10014,E024,6,15,6400,1,2,1B,182 WEST HOUSTON STREET,R6, , , , , , , , , ,N,D4,3,0, ,HOUSTON STREET OWNERS,9012,71490,0,71490,0,0,0,0,0,0,2,1,13,115,115,164,97,148,72, ,1,Y,3,2,1021500,6194700,40530,40530,1952,1987,0, , ,7.93,2.43,0,4.8,1,1005280001,0,67,983254,204733,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,468.0979675,10464.14618,5173200,9,0,7897,7897,47,10575,15.38333321,19.26333427,3.880001068,16.13947509,1.124358966,758.5553293 +7898,MN,467,56,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,211 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"211 EAST 11, LLC",2800,10648,0,10648,0,0,0,0,0,0,2,1,5,20,20,28,100,28,88, ,3,N,5,2,251100,1170000,0,0,1900,1988,0, , ,3.8,4,0,4,1,1004670056,0,40,987630,205682,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,267.3930776,3042.94294,918900,12,0,7898,7898,13,2925,28.52666664,34.72777557,6.201108933,29.00367502,1.652405498,377.0477753 +7899,MN,465,109,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,104 EAST 10 STREET,R8B,C6-2A, , , , , , , , ,Y,C3,2,0, ,PENRITH URF LLC,900,2880,0,2880,0,0,0,0,0,0,2,1,3,4,4,20,46.5,20,35, ,3,Y,5,5,82714,112073,0,0,1910,0,0,St. Mark's Historic District Extension, ,3.2,4,0,4,1,1004650109,0,40,987390,205381,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,127.8025033,843.5525197,29359,12,0,7899,7899,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +7900,MN,717,7,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,455 WEST 19 STREET,R8A, , , , , , , , , ,N,Z9, ,0, ,NYC PRINCE LLC,4603,4463,4463,0,0,0,0,0,0,4463,2,1,1,0,0,50,92,0,0, ,0,N,5,5,124200,144284,0,0,1900,0,0, , ,0.97,6,0,6,1,1007170007,0,89,982809,210752,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,287.4552432,4668.123427,20084,7,1,7900,7900,22,4950,9.621110916,10.48777771,0.866666794,9.660504861,0.180525736,212.5311069 +7901,MN,926,35,106,64,4001,2,2,10010,E005,13,14,5900,1,6,1B,347 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,"A A HOLDINGS,",2040,7640,1500,6140,0,1500,0,0,0,0,2,1,5,8,10,34,60,34,49, ,0,N,5,2,159407,543657,0,0,1910,0,0, , ,3.75,4,2,4,1,1009260035,0,64,989783,207161,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,192.0538158,2110.280204,384250,5,0,7901,7901,10,2250,13.36222172,13.36222172,0,13.36222172,0,133.6222172 +7902,MN,590,7501,102,67,1001,2,3,10014,E024,6,15,6400,1,2, ,17 CORNELIA STREET,R6, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2380,10270,0,10270,0,0,0,0,0,0,2,3,3,10,10,25.08,90.33,0,95, ,0,N,5,5,79579,770726,7490,7490,1910,1910,0,Greenwich Village Historic District Exte, ,4.32,2.43,0,4.8,1,1005907501,470,67,983677,205835,12a, ,103 005,10208, ,1005900039,12/16/1987,1, , ,17V1.1,7,295.8137553,4918.929233,691147,9,0,7902,7902,23,5175,17.54000092,17.54000092,0,17.54000092,0,403.4200211 +7903,MN,577,41,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,78 5 AVENUE,C6-4M,C6-2M, , , , , , , , ,Y,O6,5,0,P,"AMDAR COMPANY, LLC",3219,32100,32100,0,30100,2000,0,0,0,0,2,1,10,0,7,30.08,107,30.08,107, ,3,N,5,2,337050,3232350,0,0,1900,0,0, , ,9.97,10,10,10,1,1005770041,0,63,985862,207350,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,291.4546487,3498.626696,2895300,8,0,7903,7903,16,3600,30.09499931,30.09499931,0,30.09499931,0,481.519989 +7904,MN,608,39,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,101 WEST 12 STREET,C6-2,C1-7,R6, , , , , , , ,Y,D4,3,0,P,THE JOHN ADAMS OWNERS,27070,364679,36406,328273,750,15601,20055,0,0,0,2,1,21,416,425,206.5,162.17,163,206, ,3,Y,3,2,3879000,35155350,865957,865957,1961,1989,0, , ,13.47,6.02,6,6.5,1,1006080039,0,71,984807,207570,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,749.9804489,27849.04337,31276400,8,0,7904,7904,124,27900,24.04400063,27.18444443,3.140443802,24.1912013,0.564256575,2999.708961 +7905,MN,857,6,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,1 EAST 27 STREET,C5-2, , , , , , , , , ,N,O5,5,0, ,"GGR HOLDINGS, LLC",2472,11481,11481,0,0,4708,0,0,0,6773,2,1,5,0,5,25,98.75,25,98, ,3,N,5,2,310500,1029150,0,0,1920,1988,0,Madison Square North Historic District, ,4.64,10,10,10,1,1008570006,0,56,987823,210348,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,255.6845574,2481.858825,718650,11,0,7905,7905,11,2475,36.04399872,36.04399872,0,36.04399872,0,396.4839859 +7906,MN,209,15,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,19 HOWARD STREET,M1-5B, , , , , , , , , ,N,F5,6,0, ,RIBO PROPERTY LLC,1698,4410,4410,0,0,1500,0,0,2910,0,2,1,3,0,1,24,72.67,24,70,E,3,Y,5,2,68850,405450,0,0,1915,1984,0,SoHo-Cast Iron Historic District Extensi, ,2.6,0,5,6.5,1,1002090015,0,45,984143,201321,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,196.7797875,1731.107229,336600,0,0,7906,7906,8,1800,11.84555531,15.65555573,3.81000042,12.70652759,1.502441079,101.6522207 +7907,MN,529,25,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,31 BOND STREET,M1-5B, , , , , , , , , ,N,O9,5,0, ,31 BSP LLC,3037,16693,11129,5564,8347,2782,0,0,0,0,2,1,6,2,9,25,124,25,113, ,3,Y,5,2,195300,1430100,0,0,1900,1986,0,NoHo Historic District Extension, ,5.5,0,5,6.5,1,1005290025,0,5502,986014,203807,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,306.30241,3255.292038,1234800,9,0,7907,7907,15,3375,41.23199844,44.79444504,3.562446594,41.53663584,0.906025974,623.0495377 +7908,MN,609,7503,102,71,1000,2,3,10011,Q018,6,15,6100,3,2, ,138 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RC,5,0, ,PRATT INSTITUTE,12906,83169,83169,0,0,83169,0,0,0,0,2,1,7,0,2,125,103.25,0,0, ,0,N,0,5,1462500,10157400,1044000,6160050,1930,0,0, ,144 WEST 14TH STREET BUILDING,6.44,6.02,6,6.5,1,1006097503,1088,71,984541,208124,8d,Y,103 027,10209, ,1006090015,2/29/2000,1, , ,17V1.1,7,461.4158903,13207.75882,8694900,8,0,7908,7908,57,12825,25.65555573,30.51000023,4.854444504,26.04789289,1.230480953,1484.729895 +7909,MN,700,34,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,323 10 AVENUE,C6-4, , , , , ,WCH, , , ,N,D6,4,0, ,MAESTRO WEST CHELSEA,4933,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,49.33,100,0,0, ,3,N,5,2,561600,3732750,0,0,2015,0,0, , ,54.65,10,10,10,1,1007000034,0,99,983728,213027,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,301.8165449,5014.136917,3171150,6,1,7909,7909,22,4950,14.38966656,16.17111206,1.781445503,15.54907569,0.485631419,342.0796652 +7910,MN,770,19,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,239 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,YARRA RAPIDS LLC,1971,8898,0,8898,0,0,0,0,0,0,2,1,6,24,24,26.67,73.58,26,62.83, ,3,Y,5,2,231750,1585350,0,820678,1910,0,0, , ,4.51,4,0,4,1,1007700019,0,87,984646,210003,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,204.8548441,1996.943158,1353600,7,0,7910,7910,9,2025,22.20999908,26.82999992,4.620000839,23.20086352,1.855292784,208.8077717 +7911,MN,394,58,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,621 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,621 EAST 11TH STREET,2581,6300,1000,5300,0,1000,0,0,0,0,2,1,5,16,18,25,103.25,25,47, ,3,N,5,2,360000,1135800,0,0,1900,1988,0, , ,2.44,4,0,4,1,1003940058,0,28,990273,204220,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,267.5634751,2875.060865,775800,12,1,7911,7911,13,2925,6.934999943,9.411110878,2.476110935,7.816282016,0.984354271,101.6116662 +7912,MN,385,60,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,218 EAST 2 STREET,R8B, , , , , , , , , ,N,G7,10,0,C,FDNY,6570,0,0,0,0,0,0,0,0,0,7,1,0,0,0,60,105.83,0,0, ,0,Y,5,5,505350,505350,505350,505350,0,0,0, , ,0,4,0,4,1,1003850060,0,2202,989050,202304,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,345.924332,6399.516047,0,1,0,7912,7912,27,6075,16.86222267,19.14333344,2.281110764,18.21905369,0.55927765,491.9144497 +7913,MN,875,37,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,145 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,WILLIAM F MANDELL,1500,3534,0,2694,0,0,0,0,0,0,2,1,2,3,3,20,75,20,42, ,3,N,5,1,62102,188856,1550,1550,1910,2009,0,Gramercy Park Historic District, ,2.36,4,0,4,1,1008750037,0,50,988317,207694,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,198.5793281,1590.630328,126754,5,0,7913,7913,7,1575,25.84222221,25.84222221,0,25.84222221,0,180.8955555 +7914,MN,556,28,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,48 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,ISFAHANY REALTY CORP,2371,11475,2200,9275,0,2200,0,0,0,0,2,1,5,8,10,23.67,100,24,97,E,1,N,3,2,167946,489435,0,0,1900,0,0, , ,4.84,6.02,6,6.5,1,1005560028,0,42,987217,205583,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,252.3483195,2490.884119,321489,12,0,7914,7914,12,2700,37.71221924,37.71221924,0,37.71221924,0,452.5466309 +7915,MN,862,1,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,319 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0,P,"FORMAN FIFTH,",5279,27157,27157,0,11763,11473,0,0,0,3921,2,1,4,0,4,38.25,138,38,138, ,2,N,3,2,769500,6591600,0,0,1917,1985,0, , ,5.14,10,10,10,1,1008620001,0,74,988390,211472,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,376.4473465,6070.633835,5822100,10,0,7915,7915,28,6300,43.81000137,44.63700104,0.826999664,44.59525095,0.157499819,1248.667027 +7916,MN,903,56,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,204 EAST 23 STREET,C2-8A, , , , , , , , , ,N,O5,5,0, ,FIREFIGHTERS REALTYCO,6517,32369,32369,0,26369,6000,0,0,0,0,2,1,5,0,7,66,98.75,66,96.75,E,3,N,5,2,733500,2490300,0,0,1959,2011,0, , ,4.97,10,2,10,1,1009030056,0,64,989033,208278,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,337.2120469,6802.590063,1756800,11,0,7916,7916,30,6750,19.86555672,23.76077843,3.89522171,20.17881215,0.963620322,605.3643646 +7917,MN,886,24,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,166 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,GIONG XI CORP.,1580,5193,2597,2596,0,2597,0,0,0,0,2,1,4,1,3,19.75,80,19.75,65,E,3,N,5,2,378000,720450,0,0,1920,0,0, , ,3.29,6.02,6,6.5,1,1008860024,0,72,989340,210416,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,212.3644691,1767.900007,342450,10,0,7917,7917,7,1575,33.23199844,33.23199844,0,33.23199844,0,232.6239891 +7918,MN,908,46,106,66,2001,2,2,10016,E016,13,14,5800,1,6,2A,216 EAST 28 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,216 EAST 28TH STREET,2173,7074,0,7074,0,0,0,0,0,0,2,2,5,16,16,22,98.75,22,38, ,0,N,5,2,71100,740700,0,0,1910,0,0, , ,3.26,4,0,4,1,1009080046,0,66,989763,209391,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,247.384276,2222.882974,669600,11,0,7918,7918,10,2250,39.05888748,40.51222229,1.453334808,39.26077652,0.449938144,392.6077652 +7919,MN,205,13,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,124 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,122-124 MULBERRY ST.E,881,2040,850,1190,0,850,0,0,0,0,2,1,3,2,3,17.58,50.08,15,50, ,0,Y,5,5,33277,82944,0,0,1910,1986,0, , ,2.32,6.02,6,6.5,1,1002050013,0,41,984825,200810,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,142.9338704,962.6400488,49667,0,0,7919,7919,4,900,31.4109993,31.4109993,0,31.4109993,0,125.6439972 +7920,MN,720,30,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,435 WEST 22 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,ELMORE R. TORN REVOCA,1638,3618,0,3618,0,0,0,0,0,0,2,1,4,3,3,16.58,98.75,16.58,54, ,2,N,5,2,57111,158428,0,0,1910,0,0,Chelsea Historic District Extension, ,2.21,3,0,3,1,1007200030,0,93,983473,211246,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,223.5968628,1654.310469,101317,2,1,7920,7920,9,2025,9.369999886,9.551111221,0.181111336,9.406790098,0.0692177,84.66111088 +7921,MN,899,1,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,205 3 AVENUE,C1-9A,R7B,R7-2, , , , , , , ,Y,D4,3,0, ,205 THIRD AVE OWNERS,26312,358898,22907,335991,880,3720,18307,0,0,0,2,1,20,326,330,184,146,184,146,G,1,Y,3,2,3118500,34972650,1041871,1041871,1964,0,0, , ,13.64,10,2,10,1,1008990001,0,48,988469,207392,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,667.5987638,26932.24001,31854200,5,0,7921,7921,120,27000,20.82333374,30.73777771,9.91444397,23.41990004,3.039999728,2810.388004 +7922,MN,392,10,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,350 EAST 10 STREET,R8B,R7A, , , , , , , , ,Y,W1,8,0,P,9TH & 10TH ST.,27681,93420,93420,0,0,0,0,0,0,93420,2,1,5,0,1,150,184.54,150,184, ,3,N,4,2,1133550,2804850,0,0,1910,0,0, ,(FORMER) PUBLIC SCHOOL 64,3.37,4,0,4,1,1003920010,0,28,989933,203890,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,684.0514955,28832.38412,1671300,12,1,7922,7922,130,29250,7.576999664,18.07999992,10.50300026,8.719296334,2.787596237,1133.508523 +7923,MN,572,62,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,39 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,D6,4,0, ,37-39 WEST 8 ASSOC LP,4324,16777,4050,12727,0,4050,0,0,0,0,2,2,9,34,37,46,93.92,26,94, ,3,N,5,2,508500,2615400,0,0,1923,1983,0,Greenwich Village Historic District, ,3.88,3.44,3.4,6.5,1,1005720062,0,63,984768,206415,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,288.2114981,4534.939598,2106900,8,0,7923,7923,20,4500,18.70499992,20.36222267,1.657222748,18.7916666,0.360690853,375.8333321 +7924,MN,850,1,105,56,3001,2,2,10010,E014,13,15,5700,1,5,1O,149 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O6,5,0,P,149 5 AVE CORP,10275,173159,173159,0,165619,7540,0,0,0,0,2,1,16,0,26,62.33,195,62,190, ,3,Y,3,2,4050000,26002800,0,0,1918,1987,2013,Ladies' Mile Historic District, ,16.85,10,10,10,1,1008500001,0,56,987024,208954,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,535.2693964,11438.14029,21952800,7,0,7924,7924,51,11475,40.45888901,41.77666473,1.317775726,40.49372774,0.192267834,2065.180115 +7925,MN,888,42,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,480 3 AVENUE,C1-9, , , , , , , , , ,N,K5,5,0,P,GOLDERN ARCH RLTY COR,2467,4934,4934,0,0,4934,0,0,0,0,2,1,1,0,1,24.67,100,24.67,100, ,3,N,5,2,585000,1241100,0,0,1950,0,0, , ,2,10,2,10,1,1008880042,0,72,990048,210689,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,258.2532431,2520.949881,656100,10,0,7925,7925,12,2700,24.35555458,24.35555458,0,24.35555458,0,292.266655 +7926,MN,509,26,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,53 EAST HOUSTON STREET,C6-3, , , , , ,LI, , , ,N,D9,3,0,P,55 HOUSTON REALTY LLC,5087,25480,2040,23440,0,2040,0,0,0,0,2,1,5,30,32,63.33,82,63,80, ,3,Y,3,2,313650,1913400,0,0,1910,0,0, , ,5.01,7.52,6,10,1,1005090026,0,43,985780,203228,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,296.279656,5440.015369,1599750,9,0,7926,7926,24,5400,42.24222183,46.39222336,4.150001526,42.57236083,1.096296107,1021.73666 +7927,MN,512,23,102,49,1003,2,1,10012,L020,1,15,6800,1,2,1A,569 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,575 BROADWAY LLC,20000,128000,128000,0,88000,40000,0,0,0,0,2,1,6,0,1,100,200,100,200, ,1,N,3,0,4500000,20837250,0,0,1882,2013,2013,SoHo-Cast Iron Historic District, ,6.4,0,5,6.5,1,1005120023,0,49,984786,203272,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,625.3273361,21771.62629,16337300,0,0,7927,7927,97,21825,33.55888748,38.82221985,5.263332367,36.32823767,0.511313212,3523.839054 +7928,MN,627,13,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,641 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,C7,4,0, ,FELIX BERNARDO D/B/A,3212,13010,2000,11010,0,2000,0,0,0,0,2,1,5,16,17,29.17,112.33,29,102,E,3,Y,5,2,360000,1681200,0,0,1910,0,0,Gansevoort Market Historic District, ,4.05,3.44,2,6.5,1,1006270013,0,79,982640,208523,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,289.7183937,3323.063388,1321200,8,0,7928,7928,14,3150,14.72666645,14.72666645,0,14.72666645,0,206.1733303 +7929,MN,640,71,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,34 BETHUNE STREET,R6, , , , , , , , , ,N,C6,2,0, ,34-36 BETHUNE ST OWNR,1401,2888,0,2888,0,0,0,0,0,0,2,2,4,7,7,17.42,80.42,17,34, ,3,N,5,2,86557,259841,3795,3795,1915,1989,0,Greenwich Village Historic District, ,2.06,2.43,0,4.8,1,1006400071,0,79,982182,207836,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,199.9197788,1442.996457,173284,8,0,7929,7929,10,2250,11.96800041,15.19666672,3.228666306,13.35573339,1.268026991,133.5573339 +7930,MN,858,52,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1A,36 EAST 29 STREET,C5-2, , , , , , , , , ,N,S9,4,0, ,29TH STREET PARTNERS,2057,5997,1000,4997,0,1000,0,0,0,0,2,1,5,6,8,20.83,98.75,21,99,E,3,N,5,2,91800,379498,0,0,1920,1984,0, , ,2.92,10,10,10,1,1008580052,0,74,988517,210377,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,251.015004,2211.654869,287698,11,0,7930,7930,10,2250,36.10889053,39.68333435,3.574443817,36.54583473,1.072355742,365.4583473 +7931,MN,800,61,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,138 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,TAMKAT BUILDING CORP,7483,96000,96000,0,88000,8000,0,0,0,0,2,1,12,0,20,90.33,97,90,81, ,0,Y,5,5,2160000,8398800,0,0,1911,1989,0, , ,12.83,0,10,10,1,1008000061,0,91,986012,210595,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,386.2906204,7897.980468,6238800,2,0,7931,7931,33,7425,33.84199905,38.27444458,4.432445526,34.05554118,0.812160179,1123.832859 +7932,MN,592,39,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,183 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,B1,1,0, ,"ELLET, ANNE FAIRFAX",834,462,0,462,0,0,0,0,0,0,2,2,1,2,2,43.5,19.17,21.76,18, ,3,N,5,0,58343,109485,0,0,1910,0,0,Greenwich Village Historic District, ,0.55,2.43,0,4.8,1,1005920039,0,71,983768,206178,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,157.5215727,1332.420103,51142,9,0,7932,7932,6,1350,17.50333405,19.50300026,1.999666214,17.83661175,0.745231598,107.0196705 +7933,MN,481,7503,102,41,6001,2,1,10012,E055,5,15,6800,1,2, ,201 MULBERRY STREET,C6-1,C6-2, , , , ,LI, , , ,Y,RM,4,0, , ,8022,22740,7025,15715,0,7025,0,0,0,0,2,1,6,9,11,0.18,0,0,0, ,3,N,0,5,306451,6365257,0,0,1910,0,0, , ,2.83,3.44,6,6.5,1,1004817503,2350,41,985171,202175,12c, ,11N 074,10206, ,1004810023,2/5/2013,1, , ,17V1.1,7,361.3663746,8026.779673,6058810,0,0,7933,7933,36,8100,35.01599884,35.01599884,0,35.01599884,0,1260.575958 +7934,MN,540,39,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,177 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,177 BLEECKER STREET A,2500,9840,1750,8090,0,1750,0,0,0,0,2,1,5,17,18,25,100,25,88, ,2,N,5,2,167850,1903500,0,0,1900,1987,0,South Village Historic District, ,3.94,3.44,0,6.5,1,1005400039,0,65,984077,204923,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,253.8260873,2542.509947,1735650,9,0,7934,7934,11,2475,22.5755558,22.5755558,0,22.5755558,0,248.3311138 +7935,MN,434,11,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,94 EAST 7 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C7,4,0, ,YOSHIDA 94 EAST 7 LLC,1953,10320,2580,7740,0,2580,0,0,0,0,2,1,5,9,10,21.5,90.83,22,80, ,2,N,5,2,21980,175126,0,0,1900,1987,2005,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004340011,0,32,988295,203999,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,228.610067,1959.394604,153146,12,0,7935,7935,8,1800,18.26222229,21.52066803,3.25844574,18.66952801,1.077629636,149.3562241 +7936,MN,643,65,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,71 HORATIO STREET,R6, , , , , , , , , ,N,C0,2,0, ,"RICHARD MERYMAN, AS",1949,4224,0,3147,0,0,0,0,0,0,2,1,2,3,3,23,84.75,23,45, ,3,N,5,1,49172,161031,0,0,1899,0,0,Greenwich Village Historic District, ,2.17,2.43,0,4.8,1,1006430065,0,79,982282,208492,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,216.4533461,1925.312278,111859,8,1,7936,7936,6,1350,11.21500015,12.51055527,1.295555115,11.63805564,0.598484766,69.82833385 +7937,MN,442,16,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,41 EAST 1 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,41 E 1ST ST REHAB COR,1950,6892,200,6692,200,0,0,0,0,0,2,1,5,11,12,25.25,79.83,25,52, ,3,Y,5,1,94500,568800,0,0,1900,0,0, , ,3.53,4,0,4,1,1004420016,0,3602,986990,202961,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,215.9531744,2024.219219,474300,1,0,7937,7937,9,2025,36.32099915,37.97888947,1.65789032,36.78167852,0.680359821,331.0351067 +7938,MN,277,5,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,83 MADISON STREET,R7-2, , , , , , , , , ,N,M1,8,0, ,CHURCH OF ST JOSEPH,5029,7556,7556,0,0,0,0,0,0,7556,2,1,3,0,2,50,100.58,43,62, ,2,N,5,2,351450,880200,0,0,1957,0,0, , ,1.5,3.44,0,6.5,1,1002770005,0,8,985335,198816,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,303.7102448,5054.417502,528750,16,0,7938,7938,22,4950,21.55400085,30.38999939,8.835998535,22.95983895,2.103232156,505.116457 +7939,MN,438,47,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,261 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"261-63 EAST 10,",2369,9736,1800,7936,0,1800,0,0,0,0,2,1,5,18,20,25,94.75,25,80, ,3,N,5,2,202500,1127700,0,0,1920,1988,0, , ,4.11,4,0,4,1,1004380047,0,34,988866,204709,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,251.5645399,2598.927509,925200,12,0,7939,7939,12,2700,17.98900032,18.5909996,0.601999283,18.08933353,0.224351886,217.0720024 +7940,MN,615,100,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,281 WEST 12 STREET,R6, , , , , , , , , ,N,S5,4,0, ,"ALDO, CARDIA",798,4120,824,3296,0,824,0,0,0,0,2,1,5,5,6,22.5,39,23,39, ,3,Y,3,5,82430,265857,0,0,1910,1985,0,Greenwich Village Historic District, ,5.16,2.43,0,4.8,1,1006150100,0,77,983210,208032,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,123.7776407,885.3256704,183427,8,0,7940,7940,3,675,21.74111176,21.74111176,0,21.74111176,0,65.22333527 +7941,MN,393,21,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,628 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,WFCC REALTY CORP,2370,9385,0,9385,0,0,0,0,0,0,2,1,5,19,19,25,94.75,25,81, ,2,N,5,2,210600,1017900,0,0,1900,1987,0, , ,3.96,4,0,4,1,1003930021,0,28,990241,204060,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,244.7133792,2479.214747,807300,12,1,7941,7941,11,2475,7.409999847,10.2122221,2.802222252,8.212222099,1.086537288,90.33444309 +7942,MN,880,89,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,337 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O5,5,0, ,WATTON STUDIO CORP,4934,23405,23405,0,9767,2687,0,0,0,0,2,2,4,0,4,49.33,100,49.33,63, ,0,N,3,2,1183500,3101850,0,0,1900,0,0, , ,4.74,10,10,10,1,1008800089,0,68,988348,209322,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,312.8468436,5531.994849,1918350,11,0,7942,7942,24,5400,29.2211113,34.30333328,5.082221985,30.25013908,1.832658413,726.0033379 +7943,MN,925,23,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,339 EAST 19 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,339-19 ASSOCIATES,1184,4000,0,4000,0,0,0,0,0,0,2,1,4,8,8,20,92,20,50, ,3,N,5,0,103215,377861,0,0,1920,1957,0, , ,3.38,3,0,3,1,1009250023,0,64,989440,207081,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.5235581,1965.205232,274646,5,0,7943,7943,9,2025,15.27999973,17.79555511,2.515555382,15.85530853,0.915313146,142.6977768 +7944,MN,271,38,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,209 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,GIM REALTY LLC,2612,6760,1690,5070,0,1690,0,0,0,0,2,1,3,9,10,26.08,100.17,26.08,66,E,0,N,5,5,223182,638508,0,0,1900,0,0, , ,2.59,3.44,0,6.5,1,1002710038,0,6,987181,199018,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.5104452,2707.677993,415326,16,0,7944,7944,12,2700,17.21111107,22.45666695,5.245555878,19.12685188,2.28324508,229.5222225 +7945,MN,635,22,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,23 BETHUNE STREET,R6, , , , , , , , , ,N,C6,2,0, ,21&23 BETHUNE ST TNTS,3401,6924,0,6924,0,0,0,0,0,0,2,2,4,8,8,44,77.92,22,39, ,3,Y,5,1,142502,391662,7080,7080,1939,0,0,Greenwich Village Historic District, ,2.04,2.43,0,4.8,1,1006350022,0,79,982268,207710,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,247.1621939,3501.615325,249160,8,0,7945,7945,18,4050,13.34599972,15.80333328,2.457333565,13.71999974,0.839561074,246.9599953 +7946,MN,389,1,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,93 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D6,4,0,P,GIOIA HOLDINGS LLC,1876,8352,2340,6012,0,1856,0,484,0,0,2,1,5,7,9,20.17,93,20,93,E,2,N,3,0,133889,518921,0,0,1900,1988,2006, , ,4.45,4,0,4,1,1003890001,0,2602,989425,203225,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,231.2560441,2066.961491,385032,1,1,7946,7946,10,2250,9.168999672,13.31777763,4.148777962,9.583877468,1.244633389,95.83877468 +7947,MN,621,7503,102,73,1001,2,3,10014,L005,6,15,6400,2,2, ,92 PERRY STREET,C1-6, , , , , , , , , ,N,RM,4,0, , ,2975,16914,5584,11330,0,3828,0,0,0,1756,2,1,6,20,29,42.5,70,42.5,63.83, ,0,N,0,5,508504,6319427,0,0,1914,1960,2006,Greenwich Village Historic District, ,5.69,3.44,2,6.5,1,1006217503,1688,73,982833,207113,12a, ,103 015,10210, ,1006210016,6/8/2007,1, , ,17V1.1,7,233.498085,3197.199478,5810920,8,0,7947,7947,15,3375,21.76222229,25.51444435,3.752222061,22.33168157,1.219836081,334.9752235 +7948,MN,583,16,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,56 MORTON STREET,R6, , , , , , , , , ,N,C4,2,0, ,56 MORTON STREET REAL,2500,9255,0,9255,0,0,0,0,0,0,2,1,5,15,15,25,100,25,80, ,3,N,5,2,244350,1465200,0,0,1900,1986,0,Greenwich Village Historic District, ,3.7,2.43,0,4.8,1,1005830016,0,67,982632,205466,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,250.8003412,2539.988139,1220850,9,0,7948,7948,12,2700,15.38333321,19.71999931,4.336666107,15.74472205,1.198591193,188.9366646 +7949,MN,907,56,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,200 EAST 27 STREET,R8B,C2-8, , , , , , , , ,Y,D4,3,0, ,27 VICTORIA OWNERS CO,28250,233320,18400,214920,0,8118,9750,0,0,532,2,1,18,280,285,50,235,97,231,G,2,Y,3,2,3244500,22912200,732211,732211,1965,1985,0, , ,8.26,4,0,4,1,1009070056,0,66,989531,209206,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,880.3230952,28995.28488,19667700,11,0,7949,7949,128,28800,35.09000015,41.98110962,6.891109467,36.35289383,1.575407593,4653.17041 +7950,MN,354,108,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,146 ESSEX STREET,C4-4A,R7A, , , , , , , , ,Y,K2,5,0,P,COUSINS REALTY HOLDIN,4245,12250,12250,0,0,12250,0,0,0,0,2,1,2,0,1,24.92,169.92,24,169, ,3,N,4,2,391500,1566450,0,0,1930,2009,0, , ,2.89,4,4,4,1,1003540108,0,3001,987916,201728,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,398.3397813,4354.014597,1174950,1,0,7950,7950,19,4275,28.01666641,28.01666641,0,28.01666641,0,532.3166618 +7951,MN,437,29,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,149 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,149 MANAGEMENT CORP,2975,10326,2065,8261,0,2065,0,0,0,0,2,2,5,14,16,26.33,113,26,51, ,3,N,5,5,188550,805050,0,0,1900,0,0, , ,3.47,4,0,4,1,1004370029,0,34,989020,204365,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,284.0362944,3052.326163,616500,12,0,7951,7951,13,2925,17.51666641,19.0755558,1.558889389,17.80564088,0.538501057,231.4733315 +7952,MN,572,65,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,43 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,S5,4,0, ,"SANDY REALTY,",2160,6729,1150,5579,0,1150,0,0,0,0,2,1,4,6,7,23,93.92,23,84, ,3,N,5,2,130761,533000,0,0,1900,1984,0,Greenwich Village Historic District, ,3.12,3.44,3.4,6.5,1,1005720065,0,63,984718,206443,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,241.5172685,2251.999236,402239,8,0,7952,7952,8,1800,18.70499992,20.61166763,1.906667709,18.94333339,0.630571074,151.5466671 +7953,MN,743,58,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,322 WEST 20 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"HEDLEY, SIMON",1526,3200,0,2400,0,0,0,0,0,0,2,1,3,2,2,16.58,92,16.58,50, ,2,N,5,1,42950,139945,0,0,1910,1969,0,Chelsea Historic District, ,2.1,3,0,3,1,1007430058,0,89,983941,210234,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,221.9146819,1539.591257,96995,7,0,7953,7953,6,1350,15.57888889,16.42555618,0.84666729,15.72000011,0.315534269,94.32000065 +7954,MN,594,104,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,229 HUDSON STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,ROSAR REALTY CORP,972,3000,3000,0,0,3000,0,0,0,0,2,1,2,0,1,17.58,67,17.58,67, ,0,Y,5,5,128250,195750,0,0,2016,0,0, , ,3.09,6.02,6,6.5,1,1005940104,0,37,982007,203171,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,164.2942838,1037.71675,67500,0,1,7954,7954,4,900,8.149999619,9.79777813,1.647778511,8.690833092,0.672861054,34.76333237 +7955,MN,699,14,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,533 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,K4,4,0,P,WESTSIDE REALTY OF NE,10375,31106,31106,0,0,31106,0,0,0,0,2,1,3,0,1,55,197.5,55,197.5, ,3,Y,4,0,1867500,6409350,0,0,1917,2003,0, , ,3,7.52,6,10,1,1006990014,0,99,983229,212951,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,514.7289921,10666.52206,4541850,2,1,7955,7955,47,10575,11.54199982,13.09777737,1.55577755,11.57510147,0.224506313,544.0297689 +7956,MN,471,25,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,176 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,O5,5,0, ,176 GRAND ST CORP,6842,39558,38388,1170,26250,5250,0,6888,0,0,2,1,6,1,7,75.42,100.25,75,91,E,2,Y,5,2,675000,4782150,0,0,1901,1989,2003, , ,5.78,6.02,6,6.5,1,1004710025,0,41,984896,201473,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,345.2282503,6369.977973,4107150,0,0,7956,7956,28,6300,24.86333275,24.86333275,0,24.86333275,0,696.173317 +7957,MN,745,40,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1A,231 8 AVENUE,C1-6A, , , , , , , , , ,N,H2,5,0, ,300 WEST 22 REALTY LL,5700,30948,3470,0,0,3470,0,0,0,0,2,1,5,0,83,57,100,57,94, ,2,N,3,2,1800000,8861850,0,860220,1912,2007,0, , ,5.43,4,2,4,1,1007450040,0,89,984421,210562,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,322.9156238,6045.355502,7061850,7,0,7957,7957,27,6075,15.9989996,21.40999985,5.411000252,20.37693783,0.898208542,550.1773214 +7958,MN,697,13,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,521 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K9,5,0, ,511 WEST 25TH STREET,24687,81065,81065,0,0,18000,0,0,0,63065,2,3,4,0,1,250,98.75,200,90,E,0,N,5,5,3332700,12715650,0,540000,1910,2002,2009,West Chelsea Historic District, ,3.28,0,5,6.5,1,1006970013,0,99,983019,212422,8b, ,105S004,10301, ,0, ,1,1,1,17V1.1,0,706.1580146,25621.92242,9382950,2,1,7958,7958,112,25200,8.930000305,8.930000305,0,8.930000305,0,1000.160034 +7959,MN,697,5,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,553 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,O2,5,0,P,HIGH LINE REALTY ASSO,7406,40926,40926,0,27426,13500,0,0,0,0,2,1,6,0,8,75,98.75,75,90, ,3,N,5,2,625500,3968100,0,0,1926,1985,0,West Chelsea Historic District, ,5.53,0,5,6.5,1,1006970005,0,99,982767,212561,8b, ,105S004,10301, ,0, ,1,1,1,17V1.1,0,352.3556811,7564.305185,3342600,2,1,7959,7959,34,7650,8.861111641,10.76555538,1.904443741,9.065163668,0.409902249,308.2155647 +7960,MN,560,7503,102,59,4000,2,2,10003,E033,6,15,5700,3,2, ,60 EAST 9 STREET,C6-2,R7-2,C1-7, , , , , , , ,Y,RM,4,0, ,UNIWAY PARTNERS L P,45400,204426,64056,140370,0,48756,15300,0,0,0,2,1,6,214,215,174.33,184.96,0,0, ,0,Y,5,5,5143500,27486450,183310,183310,1954,0,0, , ,4.5,6.02,6,6.5,1,1005607503,303,59,986282,205634,12c, ,103 023,10207, ,1005600029,12/25/1986,1, , ,17V1.1,7,871.6959638,46822.63295,22343000,8,0,7960,7960,208,46800,34.1969986,39.29000092,5.093002319,34.95408383,1.594308639,7270.449436 +7961,MN,200,10,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,86 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,S LEONG RLTY CORP,2518,7500,1500,6000,0,1500,0,0,0,0,2,1,5,8,10,25.08,100.67,25,63, ,3,N,5,2,115658,507389,0,0,1910,1987,0, , ,2.98,3.44,6,6.5,1,1002000010,0,29,984628,200334,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,260.5107695,2759.169942,391731,14,0,7961,7961,12,2700,28.79299927,28.79299927,0,28.79299927,0,345.5159912 +7962,MN,804,22,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,123 WEST 28 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,WE CARE TRADING CO IN,4938,55411,0,0,0,0,0,0,0,0,2,1,18,0,135,50,98.75,50,61.57, ,3,N,5,0,3150000,15277950,0,0,2012,0,0, , ,11.22,0,10,10,1,1008040022,0,95,986586,211329,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,302.1996498,5054.976711,12128000,2,0,7962,7962,24,5400,33.79999924,35.15000153,1.350002289,34.51785183,0.318495561,828.4284439 +7963,MN,230,7506,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,25 MERCER STREET,M1-5B, , , , , , , , , ,N,RC,5,0, ,25-27 MERCER ST. COND,6185,25067,9432,15635,0,5492,0,3940,0,0,2,2,5,0,14,61.85,100,62,98, ,3,N,0,5,558000,3117600,0,0,1880,0,0,SoHo-Cast Iron Historic District, ,4.05,0,5,6.5,1,1002307506,2124,47,983688,201936,12a, ,11N 046,10105, ,1002300033,12/11/2009,1, , ,17V1.1,7,332.4545124,6465.680409,2559600,0,1,7963,7963,29,6525,11.39777756,11.39777756,0,11.39777756,0,330.5355492 +7964,MN,191,7501,101,33,2003,2,1,10013,E007,1,15,7700,3,1, ,12 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, ,OWNER / AGENT,2500,10811,0,10811,0,0,0,0,0,0,2,1,6,6,6,25,100,0,0, ,0,N,5,5,164962,903458,0,0,1977,0,0,Tribeca East Historic District, ,4.32,6.02,6,6.5,1,1001917501,38,33,982722,201372,12a, ,101N045,10105, ,0, ,1, , ,17V1.1,7,256.706151,2661.165672,738496,14,1,7964,7964,12,2700,10.29800034,10.73844433,0.440443993,10.334704,0.121732289,124.016448 +7965,MN,848,74,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,129 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,D0,3,0,P,129-131 5TH AVENUE CO,6800,57115,4600,52515,0,4600,0,0,0,0,2,1,8,30,32,45,125,45,100, ,0,Y,5,2,940500,7609050,23600,23600,1905,1980,0,Ladies' Mile Historic District, ,8.4,10,10,10,1,1008480074,0,52,986825,208636,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,454.3067163,7375.504462,6668550,7,0,7965,7965,33,7425,40.5633316,44.29555511,3.732223511,41.43497918,0.539759896,1367.354313 +7966,MN,52,22,101,13,1001,2,1,10006,E010,1,15,7700,1,1,1A,141 GREENWICH STREET,C5-5, , , , , ,LM, , , ,N,Y1,8,0,C,FIRE DEPARTMENT,4381,8008,8008,0,0,0,0,0,0,8008,2,1,3,0,1,114.67,44,112,40, ,1,Y,3,0,1017000,1711800,1017000,1711800,1980,0,0, , ,1.83,10,15,15,1,1000520022,0,13,980756,197888,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,328.5525914,4871.827597,694800,3,0,7966,7966,20,4500,14.19000053,17.55500031,3.364999771,17.31183367,0.754291899,346.2366734 +7967,MN,827,28,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,1121 BROADWAY,C5-2,M1-6, , , , , , , , ,Y,O6,5,0,P,KEW MANAGEMENT CORP,10675,105667,105667,0,97667,8000,0,0,0,0,2,1,12,0,150,94.67,134.67,80,122, ,1,Y,3,2,3001500,13802400,0,0,1900,1987,0,Madison Square North Historic District, ,9.9,10,10,10,1,1008270028,0,58,987182,210109,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,456.8198183,11552.66184,10800900,2,0,7967,7967,52,11700,43.30111313,43.49000168,0.18888855,43.48636921,0.02594104,2261.291199 +7968,MN,519,59,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,29 CHARLTON STREET,R6, , , , , , , , , ,N,B3,1,0,P,"KOTSONI, NICOLA",2008,3952,0,2964,0,0,0,0,0,0,2,1,3,2,2,20,100.42,20,50, ,3,N,5,1,53129,163018,0,0,1899,2004,2004,Charlton-King-Vandam Historic District, ,1.97,2.43,0,4.8,1,1005190059,0,37,983030,204242,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,243.0681753,2077.461671,109889,0,0,7968,7968,9,2025,16.83888817,21.90555573,5.066667557,18.49999979,2.303517825,166.4999981 +7969,MN,779,39,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,350 7 AVENUE,M1-6D,M1-6, , , , , , , , ,Y,O4,5,0,P,HARDWELL ACQUISITION,6806,143845,143845,0,133887,9958,0,0,0,0,2,1,21,0,62,38,121,38,121, ,3,Y,5,2,1345500,14206500,0,0,1927,0,0, , ,21.14,10,10,10,1,1007790039,0,95,986156,211899,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,455.5063048,7118.129855,12861000,6,0,7969,7969,32,7200,31.05999947,31.05999947,0,31.05999947,0,993.9199829 +7970,MN,879,15,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,127 EAST 23 STREET,C6-4A, , , , , , , , , ,N,J9,5,0,P,127 EAST 23RD STREET,5613,8562,8562,0,0,3253,0,0,0,5309,2,1,1,0,4,50,113.75,50,113.75, ,3,Y,5,2,900000,3326850,0,0,1937,2007,0, , ,1.53,10,10,10,1,1008790015,0,68,988429,208845,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,331.231286,5705.667585,2426850,11,0,7970,7970,26,5850,28.24111176,28.24111176,0,28.24111176,0,734.2689056 +7971,MN,423,16,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,329 BROOME STREET,C6-3A, , , , , , , , , ,N,K4,4,0, ,BRP REALTY CORP,2225,6130,3880,2250,0,3880,0,0,0,0,2,1,4,4,6,25.83,101.43,25,83, ,3,Y,5,2,225000,595350,0,0,1940,1991,0, , ,2.76,7.52,6,7.5,1,1004230016,0,18,985941,201239,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,248.6785673,2469.75318,370350,0,0,7971,7971,12,2700,34.16999817,37.75999832,3.590000153,34.46916485,0.992223625,413.6299782 +7972,MN,720,68,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,442 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,442 WEST 23 ST OWNERS,2469,6975,0,6975,0,0,0,0,0,0,2,1,6,5,5,25,98.75,53,25, ,3,N,5,2,123959,659863,7080,7080,1900,1981,0,Chelsea Historic District Extension, ,2.83,3,0,3,1,1007200068,0,93,983387,211406,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,256.0308396,2626.080872,535904,2,1,7972,7972,12,2700,9.369999886,11.90222263,2.532222748,9.825092634,0.761126503,117.9011116 +7973,MN,177,27,101,33,2007,2,1,10013,E007,1,15,7700,1,1,3B,105 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,S4,4,0,P,TRIBECA 105 LLC,3600,25947,947,25000,0,947,0,0,0,0,2,1,6,4,5,35.5,100,36,98,E,3,Y,5,5,82183,1155494,0,0,1915,2007,2007,Tribeca East Historic District, ,7.21,6.02,6,6.5,1,1001770027,0,33,982611,200974,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,277.8790915,3694.40982,1073310,14,1,7973,7973,16,3600,10.73999977,16.55333328,5.813333511,11.10333312,1.407183992,177.6533298 +7974,MN,479,14,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,26 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"GOLDEN MOUNTAIN RLTY,",4512,24034,4000,20034,0,4000,0,0,0,0,2,1,6,35,39,47.58,102.67,47,100,E,3,Y,3,2,135000,474300,0,0,1900,1987,0, , ,5.33,6.02,6,6.5,1,1004790014,0,41,985527,202090,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,296.1728259,4859.781272,339300,0,0,7974,7974,21,4725,38.05444717,41.78111267,3.726665497,38.23190744,0.793626417,802.8700562 +7975,MN,509,36,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,273 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,R F S C INC,1860,5045,0,5045,0,0,0,0,0,0,2,1,5,10,10,20.33,93.33,20,50, ,3,Y,5,1,28314,81315,0,0,1910,0,0, , ,2.71,6.02,6,6.5,1,1005090036,0,43,985693,203013,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,235.7160972,2078.63466,53001,9,0,7975,7975,9,2025,44.99888992,45.70888901,0.709999084,45.42351786,0.184680334,408.8116608 +7976,MN,563,7501,102,61,2000,2,2,10003,L003,6,15,5700,3,2, ,44 EAST 12 STREET,C6-1, , , , , , , , , ,N,RM,4,0, ,PARC VILLAGE CONDOMIN,6920,46062,10066,35996,0,10066,0,0,0,0,2,1,10,44,52,50,103.25,0,0, ,0,Y,5,5,720002,6495303,11800,11800,1985,0,0, , ,6.66,3.44,6,6.5,1,1005637501,298,61,986513,206420,12c, ,103 025,10207, ,1005630028,12/25/1986,1, , ,17V1.1,7,352.9615452,7277.267469,5775300,8,0,7976,7976,32,7200,37.07600021,42.5233345,5.44733429,37.40364611,1.270001605,1196.916676 +7977,MN,911,59,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,208 EAST 31 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,208-210 E 31 REALTY,1975,5540,0,5540,0,0,0,0,0,0,2,1,4,9,9,20,98.75,20,99, ,3,N,5,2,92263,402279,0,0,1900,0,0, , ,2.81,3,0,3,1,1009110059,0,70,990047,210116,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,243.7076738,1983.047448,310016,10,0,7977,7977,9,2025,29.22888947,31.46888924,2.239999771,29.47777833,0.703964012,265.300005 +7978,MN,613,49,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,208 WEST 11 STREET,C2-6, , , , , , , , , ,N,A4,1,0, ,"POUND, PATRICIA W",1062,3040,0,2280,0,0,0,0,0,0,2,1,3,1,1,19.67,54,20,38,E,3,N,5,1,62284,160709,0,0,1910,1986,2013,Greenwich Village Historic District, ,2.86,3.44,2,6.5,1,1006130049,0,71,983809,207539,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,154.545407,1124.044474,98425,8,0,7978,7978,4,900,24.94000053,25.29777718,0.357776642,25.02944469,0.15492183,100.1177788 +7979,MN,508,51,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,27 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,27 PRINCE STREET LLC,2327,8615,690,7925,0,690,0,0,0,0,2,1,5,14,16,27.83,89.42,28,74, ,3,Y,5,2,51750,1646100,0,0,1910,2016,0, , ,3.7,6.02,6,6.5,1,1005080051,0,43,985764,202715,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,235.2548023,2509.266169,1594350,0,0,7979,7979,12,2700,43.06000137,43.06000137,0,43.06000137,0,516.7200165 +7980,MN,849,70,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,915 BROADWAY,M1-5M,C6-4M, , , , , , , , ,Y,O4,5,0,P,915 BROADWAY ASSOCIAT,10650,215740,215740,0,197340,18400,0,0,0,0,2,1,20,0,54,72.33,128.67,79,152, ,3,Y,3,2,8325000,25825950,0,0,1926,1982,2012,Ladies' Mile Historic District, ,20.26,0,5,6.5,1,1008490070,0,52,987024,208814,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,483.2017778,11681.50478,17501000,7,0,7980,7980,52,11700,40.76555634,41.23555756,0.470001221,40.94365267,0.070421925,2129.069939 +7981,MN,753,69,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,350 WEST 30 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,342 WEST 30 ST CORP,3620,15120,0,15120,0,0,0,0,0,0,2,1,6,31,31,36.67,98.75,37,84, ,3,N,5,2,145350,868950,0,0,1926,0,0, , ,4.18,4,0,4,1,1007530069,0,97,984969,212635,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,273.6347445,3662.441109,723600,6,0,7981,7981,16,3600,33.77000046,41.44777679,7.677776337,34.89826274,1.857707574,558.3722038 +7982,MN,474,7501,102,47,2011,2,1,10013,E055,1,15,6800,1,2, ,51 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2500,3695,2570,1125,0,2570,0,0,0,0,2,1,2,1,2,25,100,0,0, ,0,N,5,5,132750,966150,2360,2360,1941,0,0,SoHo-Cast Iron Historic District, ,1.48,0,5,6.5,1,1004747501,316,47,983900,202265,12a, ,101N070,10206, ,1004740015,1/7/1987,1, , ,17V1.1,7,257.4114267,2618.656458,833400,0,0,7982,7982,12,2700,14.17000008,18.79288864,4.622888565,14.55524079,1.277698902,174.6628895 +7983,MN,610,68,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,17 CHRISTOPHER STREET,R6, , , , , , , , , ,N,B3,1,0, ,"JOHNSON, PETER J",1800,2520,0,2520,0,0,0,0,0,0,2,1,3,2,2,20,90,20,42, ,3,N,5,2,30463,153446,0,0,1899,0,0,Greenwich Village Historic District, ,1.4,2.43,0,4.8,1,1006100068,0,71,984070,206737,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,231.3115289,2020.197056,122983,8,0,7983,7983,8,1800,18.18777847,20.0233345,1.83555603,18.81680608,0.814974331,150.5344486 +7984,MN,908,37,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,236 EAST 28 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,236 E 28TH ST OWNERS,3703,14981,0,14981,0,0,0,0,0,0,2,1,6,31,31,37.5,98.75,38,84, ,3,N,5,2,265050,1589400,23600,23600,1920,1977,0, , ,4.05,4,0,4,1,1009080037,0,66,989955,209285,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,276.0985762,3678.389684,1324350,11,0,7984,7984,16,3600,32.6922226,36.51444244,3.822219849,32.95618081,0.923832779,527.298893 +7985,MN,232,11,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,456 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0,P,ESV RLTY CORP,2504,11500,11500,0,9200,2300,0,0,0,0,2,2,5,0,3,25,100,25,100,E,3,Y,5,2,261450,1660500,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,4.59,0,5,6.5,1,1002320011,0,45,984094,201780,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,261.7980225,2746.682277,1399050,0,0,7985,7985,13,2925,14.35888863,18.88222122,4.523332596,14.70683729,1.205329519,191.1888847 +7986,MN,462,29,103,38,1004,1,2,10003,E028,9,14,6500,1,3,3B,105 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,O5,5,0,P,"EMIGRANT BANCORP, INC",2400,9600,9600,0,7200,2400,0,0,0,0,2,1,4,0,1,24,100,24,100, ,3,N,5,0,275400,960750,0,0,1920,1996,0,East Village/Lower East Side Historic Di, ,4,4,0,4,1,1004620029,0,38,987372,204395,12c, ,102 018,10205, ,1004620029,1/5/1996,1, , ,17V1.1,0,256.4129785,2573.293795,685350,1,0,7986,7986,12,2700,35.00777817,35.00777817,0,35.00777817,0,420.093338 +7987,MN,909,53,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,202 EAST 29 STREET,R8B,C2-8, , , , , , , , ,Y,K9,5,0,P,"SCHAINBERG, MARION",4609,24634,24634,0,0,8362,0,8136,0,8136,2,1,6,0,6,46.67,98.75,46.67,92, ,0,N,5,5,231750,1933200,0,0,1915,2012,0, , ,5.34,4,0,4,1,1009090053,0,66,989783,209674,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,298.2943633,4826.059036,1701450,11,0,7987,7987,21,4725,35.64599991,39.82111359,4.175113678,35.84481485,0.889127428,752.7411118 +7988,MN,833,60,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,28 WEST 32 STREET,C6-4, , , , , , , , , ,N,K2,5,0, ,FRANDE EQUITIES LLC,2222,8200,8200,0,0,8200,0,0,0,0,2,1,5,1,7,22.5,98.75,23,99,E,3,N,5,2,621000,1794150,0,0,1922,0,0, , ,3.69,10,10,10,1,1008330060,0,76,987826,211640,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,245.1571422,2253.450943,1173150,10,0,7988,7988,9,2025,41.76111221,41.76111221,0,41.76111221,0,375.8500099 +7989,MN,559,12,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,106 EAST 14 STREET,C6-4,C6-1, , , , ,US, , , ,Y,H8,8,0,P,NEW YORK UNIVERSITY,18447,216267,1000,0,0,1000,0,0,0,0,2,1,20,0,1,100,206.5,100,190, ,0,Y,5,5,5850000,10766700,5850000,10766700,1998,0,0, , ,11.72,10,10,10,1,1005590012,0,42,987230,206581,12c, ,102 025,10207, ,1005590014,11/19/1997,1, , ,17V1.1,0,604.1168398,19010.54697,4916700,12,0,7989,7989,84,18900,36.68999863,44.77777863,8.087779999,37.46315625,2.175362813,3146.905125 +7990,MN,403,1,103,32,7001,1,2,10009,L011,9,14,6600,1,3,4A,144 AVENUE A,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,457788,1000,1000,0,0,0,0,0,0,1000,2,1,1,0,0,687.33,666,0,10, ,0,N,1,5,15479100,19946250,15479100,19946250,0,0,0, , ,0,0,0,0,1,1004030001,0,32,989318,203943,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,2711.729715,459504.2894,4467150,12,1,7990,7990,2044,459900,11.90222168,21.62555504,9.723333359,17.8171409,1.62598939,36418.23599 +7991,MN,517,5,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,141 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C6,2,0,P,141-143-145 OWNERS CO,2467,9392,0,9392,0,0,0,0,0,0,2,1,5,20,20,24.67,100,25,74, ,3,N,5,2,135000,1332450,9308,9308,1900,1986,0,Sullivan-Thompson Historic District, ,3.81,3.44,0,6.5,1,1005170005,0,49,983769,204093,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,256.4387508,2556.848541,1197450,9,0,7991,7991,11,2475,17.9011116,22.98999977,5.088888168,18.80202068,1.91196928,206.8222275 +7992,MN,354,27,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,139 NORFOLK STREET,R7A,C4-4A, , , , , , , , ,Y,C6,2,0, ,PALM BCH HOUSING DEVE,2500,10255,900,9355,0,900,0,0,0,0,2,1,5,18,20,25,100,25,80, ,2,N,5,2,225000,917550,25960,25960,1920,1986,0, , ,4.1,4,0,4,1,1003540027,0,3001,987921,201646,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,260.2973078,2707.85707,692550,1,0,7992,7992,11,2475,28.01666641,28.01666641,0,28.01666641,0,308.1833305 +7993,MN,411,75,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,100 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,132 LUDLOW ST,3554,21120,3400,17720,0,3400,0,0,0,0,2,1,6,20,24,44.42,80,44,80, ,3,N,3,2,223200,2987100,0,0,1900,1987,0, , ,5.94,4,4,4,1,1004110075,0,3001,987542,201662,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,257.8346765,3825.151237,2763900,13,0,7993,7993,16,3600,30.50799942,33.99200058,3.48400116,30.72574949,0.843342404,491.6119919 +7994,MN,794,66,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,148 WEST 19 STREET,C6-3A,C6-2A, , , , , , , , ,Y,Y1,8,0,C,FIRE DEPARTMENT,5476,9000,9000,0,0,0,0,0,0,9000,2,1,2,0,0,58.17,95,58.17,90.17, ,0,N,5,5,846000,1674000,846000,1674000,1965,0,0, , ,1.64,7.52,6,7.5,1,1007940066,0,87,985115,209305,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,302.9997291,5448.751449,828000,7,0,7994,7994,25,5625,27.66555595,29.06777763,1.40222168,27.82322693,0.418456415,695.5806732 +7995,MN,435,14,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,100 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,100 ST. MARKS PLACE R,2518,10322,2064,8258,0,2064,0,0,0,0,2,1,5,20,22,25.83,97.5,26,78, ,3,N,5,1,118350,1276650,0,0,1900,1986,0, , ,4.1,4,0,4,1,1004350014,0,32,988473,204188,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,250.1284749,2509.106656,1158300,12,0,7995,7995,11,2475,20.24200058,22.49333382,2.251333237,20.67331366,0.696621359,227.4064503 +7996,MN,437,6,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4B,158 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,158 FIRST AVE NYC LLC,1917,8304,1661,6643,0,1661,0,0,0,0,2,1,6,10,11,19.17,90,19,78, ,3,N,5,2,270000,1107900,0,0,1920,1987,0, , ,4.33,4,0,4,1,1004370006,0,34,988600,204669,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,227.6474437,1937.361739,837900,12,0,7996,7996,8,1800,17.51666641,22.70744514,5.190778732,18.16551375,1.716688705,145.32411 +7997,MN,449,15,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,52 ST MARKS PLACE,R8B, , , , , , , , , ,N,D4,3,0, ,QUAD TWO REALTY,2438,9585,0,9585,0,0,0,0,0,0,2,1,5,19,19,25,97.5,25,73,E,3,N,5,2,166500,1009350,0,0,1920,1989,0, , ,3.93,4,0,4,1,1004490015,0,38,987879,204516,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.0915975,2463.645157,842850,12,0,7997,7997,10,2250,26.66699982,30.92222214,4.255222321,27.48405533,1.381885629,274.8405533 +7998,MN,390,24,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,334 EAST 8 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,8TH AND C HOUSING DEV,6338,29232,0,29232,0,0,0,0,0,0,2,2,6,30,30,65,97.5,65,87, ,0,N,5,5,315000,920250,315000,920250,1900,1994,0, , ,4.61,4,0,4,1,1003900024,0,2602,990015,203333,12c, ,102 022,10203, ,1003900024,1/3/1995,1, ,1,17V1.1,0,326.860485,6393.907614,605250,12,1,7998,7998,29,6525,7.409999847,8.706666946,1.296667099,7.498314035,0.32451463,217.451107 +7999,MN,930,41,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,330 EAST 25 STREET,R8, , , , , , , , , ,N,H8,8,0,P,NEW YORK UNIVERSITY,2469,9595,0,0,0,0,0,0,0,0,2,2,5,0,1,25,98.75,25,70, ,0,N,5,5,553500,1082700,553500,1082700,1910,0,0, , ,3.89,6.02,0,6.5,1,1009300041,0,66,990166,208286,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,257.9940438,2653.797137,529200,11,0,7999,7999,13,2925,18.30599976,20.48777771,2.181777954,18.47382883,0.581376964,240.1597748 +8000,MN,629,25,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,320 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,320-324 WEST 14 DEVEL,2581,8250,0,8250,0,0,0,0,0,0,2,1,5,7,9,25,103.25,25,66, ,3,N,5,2,79136,559721,0,0,1901,1986,2009, , ,3.2,6.02,6,6.5,1,1006290025,0,77,983207,208864,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,256.5766514,2462.961514,480585,8,0,8000,8000,11,2475,16.45777702,20.20000076,3.74222374,17.81387832,1.552201315,195.9526615 +8001,MN,754,31,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,313 WEST 30 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,BRE FSC MULTIFAMILY B,5925,31512,0,31512,0,0,0,0,0,0,2,1,12,47,47,60,98.75,53,70, ,1,N,5,2,444150,3231900,0,0,1987,0,0, , ,5.32,4,0,4,1,1007540031,0,103,985386,212577,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,334.8023332,6424.932226,2787750,6,0,8001,8001,29,6525,32.78222275,33.74333191,0.961109161,33.59708023,0.260826724,974.3153267 +8002,MN,630,3,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,653 WASHINGTON STREET,R6, , , , , , , , , ,N,S2,4,0, ,"FREDERICK, MARY MARGA",1035,3400,1360,2040,0,680,0,0,0,680,2,1,4,2,3,17.25,60,17.25,40, ,3,N,5,5,46934,94952,4140,4140,1899,0,0,Greenwich Village Historic District Exte, ,3.29,2.43,0,4.8,1,1006300003,0,75,981931,206311,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,166.521107,1214.079289,48018,9,0,8002,8002,5,1125,15.90333366,15.90333366,0,15.90333366,0,79.51666832 +8003,MN,621,24,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,368 BLEECKER STREET,C1-6, , , , , , , , , ,N,C4,2,0,P,"TAMARA PROPERTIES, IN",5956,18102,3326,14776,0,3326,0,0,0,0,2,4,5,17,21,85,70,21,70, ,0,N,3,2,675000,5269050,0,0,1900,1988,0,Greenwich Village Historic District, ,3.04,3.44,2,6.5,1,1006210024,0,73,982861,206986,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,322.2883537,6440.591732,4594050,9,0,8003,8003,29,6525,21.76222229,21.76222229,0,21.76222229,0,631.1044464 +8004,MN,586,61,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,270 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,270 BLEECKER STREET L,980,3930,900,3030,0,900,0,0,0,0,2,1,4,3,5,18,54.17,18,54, ,3,Y,3,5,179140,408411,0,0,1910,0,0,Greenwich Village Historic District Exte, ,4.01,3.44,0,6.5,1,1005860061,0,67,983344,205725,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,157.7094275,1149.572918,229271,9,0,8004,8004,5,1125,17.38400078,19.56999969,2.185998917,17.99360046,0.855987796,89.96800232 +8005,MN,391,10,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,606 EAST 9 STREET,R8B, , , , , , , , , ,N,N2,8,0,P,BONITAS YOUTH SERVICE,2113,4548,4548,0,0,0,0,0,0,4548,2,1,4,0,3,22.5,93.92,23,52, ,3,N,5,1,84600,223650,84600,223650,1920,0,0, , ,2.15,4,0,4,1,1003910010,0,2602,989803,203737,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,236.771144,2126.521283,139050,12,1,8005,8005,10,2250,8.318888664,8.318888664,0,8.318888664,0,83.18888664 +8006,MN,642,4,102,79,1010,2,3,10014,L005,6,15,6100,1,2,3B,110 HORATIO STREET,C6-2A, , , , , , , , , ,N,D3,3,0, ,110-114 HORATIO II L.,14020,85030,0,85030,0,0,0,0,0,0,2,1,8,121,121,109.58,131.17,109.67,126, ,0,Y,3,2,4198500,14241600,0,0,1987,0,0, , ,6.06,6.02,6,6.5,1,1006420004,0,79,981669,208349,8b, ,103 014,10210,E-4,0, ,1,1,1,17V1.1,0,485.4454604,14524.00423,10043100,8,1,8006,8006,61,13725,7.369999886,8.088889122,0.718889236,7.404116474,0.14232901,451.6511049 +8007,MN,827,68,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,38 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,12 LOFTS RLTY INC,5925,65150,4000,61150,0,4000,0,0,0,0,2,1,12,12,13,60,98.75,60,99,E,2,N,5,2,1372500,6299100,11800,11800,1909,1984,0, , ,11,0,10,10,1,1008270068,0,58,986812,210435,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,323.0100251,6090.269511,4926600,2,0,8007,8007,27,6075,38.00333405,42.55511093,4.551776886,38.17191837,0.859614784,1030.641796 +8008,MN,744,55,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,326 WEST 21 STREET,R7B, , , , , , , , , ,N,Q2,9,0,C,DCAS/DEPARTMENT OF ED,18361,9150,9150,0,0,0,0,0,0,9150,2,1,5,0,0,199.58,92,0,79, ,0,N,5,5,1786500,2126700,1786500,2126700,0,0,0, , ,0.5,3,0,3,1,1007440055,0,89,983913,210528,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,589.6742759,19092.72698,340200,7,0,8008,8008,86,19350,17.49888992,19.68333435,2.184444427,18.36785028,0.635491031,1579.635124 +8009,MN,768,7501,104,87,3000,2,3,10011,L012,10,15,5600,1,4, ,210 WEST 19 STREET,C6-2A, , , , , , , , , ,N,R4,3,0,P,CHARLES H GREENTHAL &,9706,48676,0,48676,0,0,0,0,0,0,2,1,6,69,69,105.5,92,0,0, ,0,N,5,5,580490,5860349,42585,94241,1939,0,0, , ,5.02,6.02,6,6.5,1,1007687501,249,87,984746,209509,8d, ,103 033,10304, ,1007680043,11/29/1985,1, , ,17V1.1,7,393.6150611,9654.905169,5279860,7,0,8009,8009,42,9450,21.88888931,26.28999901,4.401109695,22.09182571,0.892763596,927.8566799 +8010,MN,850,25,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,33 EAST 21 STREET,M1-5M, , , , , , , , , ,N,O6,5,0,P,LF GRAMERCY PROPERTYC,9890,100000,100000,0,90000,10000,0,0,0,0,2,2,10,0,19,100.5,98.75,101,97,E,3,N,5,2,3150000,11966850,0,0,1903,1986,2012,Ladies' Mile Historic District, ,10.11,0,5,6.5,1,1008500025,0,56,987499,208716,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,408.5946341,10431.50236,8816850,5,0,8010,8010,47,10575,35.59999847,37,1.400001526,35.62978574,0.202027071,1674.59993 +8011,MN,770,37,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,172 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,SUSAN REALTY ASSOCIAT,2106,6414,2912,3502,621,2291,0,0,0,0,2,2,4,17,19,23,91.58,23,40, ,0,N,5,2,123750,995400,0,0,1890,0,0, , ,3.05,6,0,6,1,1007700037,0,87,985027,209792,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,237.1288114,2318.081281,871650,7,0,8011,8011,10,2250,22.20999908,29.9066658,7.696666718,23.52606583,2.67906076,235.2606583 +8012,MN,616,51,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,1 HORATIO STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,HORATIO STREET LLC,1091,2691,650,2041,0,650,0,0,0,0,2,1,4,6,7,16.67,65.42,17,38, ,2,N,5,2,63778,342986,0,0,1900,0,0,Greenwich Village Historic District, ,2.47,3.44,2,6.5,1,1006160051,0,77,983247,208480,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,165.7312061,1063.819995,279208,8,0,8012,8012,7,1575,20.44199944,22.15555573,1.71355629,20.91777747,0.752714622,146.4244423 +8013,MN,613,43,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,47 PERRY STREET,R6, , , , , , , , , ,N,C5,2,0, ,1819 WEEKES AVE REALT,3025,11405,0,11405,0,0,0,0,0,0,2,1,5,20,20,27.5,110,27,97, ,3,N,5,2,360000,1713150,0,0,1910,1984,0,Greenwich Village Historic District, ,3.77,2.43,0,4.8,1,1006130043,0,73,983390,207346,12a, ,103 015,10209, ,0, ,1, , 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DUPU,408,1152,0,1152,0,0,0,0,0,0,2,1,3,1,1,16.5,24.33,16.5,24.33, ,3,Y,6,2,23920,87091,0,0,1901,0,0,Greenwich Village Historic District, ,2.82,2.43,0,4.8,1,1005850067,0,73,982617,205975,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,83.67500499,426.0538582,63171,9,0,8056,8056,2,450,18.5988884,18.5988884,0,18.5988884,0,37.19777679 +8057,MN,820,7504,105,54,1003,2,3,10011,E014,13,15,5700,1,5, ,16 WEST 19 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,5858,58594,7852,50742,0,4435,0,3417,0,0,2,1,14,57,58,63.67,92,64,87, ,3,N,5,5,2250000,12058198,7080,7080,1906,2006,0,Ladies' Mile Historic District, ,10,10,10,10,1,1008207504,1659,54,986309,208646,8d, ,102 041,10306, ,1008200055,5/17/2007,1, , ,17V1.1,7,321.1675202,6142.67529,9808200,7,0,8057,8057,27,6075,35.79800034,37.83777618,2.039775848,35.92655987,0.462006565,970.0171165 +8058,MN,608,74,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,169 WEST 12 STREET,R6,C2-6, , , , , , , , ,Y,D4,3,0, ,171 W 12 ST INC,6505,31750,0,31750,0,0,0,0,0,0,2,2,6,25,25,63,103.25,63,85, ,3,N,5,2,504000,3268800,35400,35400,1922,1989,0,Greenwich Village Historic District, ,4.88,2.43,0,4.8,1,1006080074,0,71,984263,207852,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,340.5699053,6758.947716,2764800,8,0,8058,8058,32,7200,24.04400063,26.82999992,2.785999298,24.1310631,0.484743363,772.1940193 +8059,MN,633,32,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,139 PERRY STREET,C1-6A, , , , , , , , , ,N,K1,5,0,P,139 PERRY STREET LLC,1983,1972,1972,0,0,1972,0,0,0,0,2,1,1,0,1,20,99.17,20,99.16, ,3,Y,5,0,90000,718650,0,0,1946,1981,2001,Greenwich Village Historic District, ,0.99,4,2,4,1,1006330032,0,75,982055,207085,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,244.2626591,2082.924244,628650,9,0,8059,8059,11,2475,15.33111095,15.64700031,0.315889359,15.38854538,0.121836822,169.2739992 +8060,MN,481,10,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,21 CLEVELAND PLACE,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,21 CLEVELAND PLACE CO,2687,9777,780,8997,0,780,0,0,0,0,2,2,5,8,10,27.08,99.25,28,78, ,3,N,5,1,49149,289607,0,0,1904,0,0, , ,3.64,3.44,6,6.5,1,1004810010,0,41,985072,202202,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,260.9109567,2895.03677,240458,0,0,8060,8060,13,2925,35.01599884,35.01599884,0,35.01599884,0,455.2079849 +8061,MN,407,7502,103,34,1000,1,2,10009,L011,9,14,6200,4,3, ,503 EAST 13 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,11421,23228,4099,19129,0,4099,0,0,0,0,2,1,4,18,19,158.5,103.25,0,0, ,0,Y,0,5,611998,3117602,33040,1035276,1999,0,0, , ,2.03,4,2,4,1,1004077502,1081,34,989698,205118,12c, ,102 029,10203, ,1004070001,12/7/1999,1, , ,17V1.1,7,529.587324,11766.87439,2505600,12,1,8061,8061,53,11925,11.62699986,18.51000023,6.883000374,12.23243388,1.632825021,648.3189955 +8062,MN,134,7503,101,21,1004,2,1,10007,L010,1,15,7700,1,1, ,9 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,THE FRANKLIN BUILDING,10123,96324,35605,68452,19556,16049,0,0,0,0,2,1,12,30,31,101.23,100,101,90, ,0,N,0,5,2277002,8320951,16520,16520,1900,0,0, , ,9.52,7.52,6,7.5,1,1001347503,1148,21,982074,199261,12b, ,101S018,10104, ,1001340001,12/14/2000,1, , ,17V1.1,7,414.7872605,10750.12183,6043950,3,0,8062,8062,48,10800,30.50333214,30.50333214,0,30.50333214,0,1464.159943 +8063,MN,237,6,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,140 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,F.M.J. RIZZO INC,2550,9490,1275,8215,0,1275,0,0,0,0,2,2,5,8,10,25.17,101.33,25,48, ,0,Y,5,5,38109,244791,0,0,1900,1984,0, , ,3.72,6.02,6,6.5,1,1002370006,0,41,984989,201106,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,259.045057,2570.931462,206682,0,0,8063,8063,10,2250,29.99711227,31.1724453,1.175333023,30.72497864,0.276950578,307.2497864 +8064,MN,304,21,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,249 GRAND STREET,C6-1G, , , , , ,TA, , , ,N,D7,4,0, ,TONG FAT REALTY CORP,3812,26565,3795,22770,0,3795,0,0,0,0,2,1,7,24,26,50.5,75,50,75, ,3,N,3,2,292500,1075050,17019,107469,1910,1988,1998, , ,6.97,3.44,6,6.5,1,1003040021,0,16,985870,200876,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,264.472902,4237.231567,782550,0,0,8064,8064,18,4050,34.17111206,35.7266655,1.555553436,34.29972924,0.387220057,617.3951263 +8065,MN,426,25,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,205 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,C7,4,0,P,19 STANTON REALTY LLC,1667,9967,3300,6667,0,3300,0,0,0,0,2,1,5,13,14,25,66.67,25,66.67, ,0,N,3,2,405000,948150,0,0,1900,2015,0, , ,5.98,7.52,6,7.5,1,1004260025,0,3601,986479,202461,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,195.8212496,1931.979727,543150,1,0,8065,8065,9,2025,41.51444626,43.43888855,1.924442291,42.10666784,0.840082031,378.9600105 +8066,MN,552,7505,102,65,1001,2,1,10012,L009,6,15,5700,2,2, ,133 WEST 4 STREET,R7-2, , , , , , , , , ,N,R1,2,0, , ,1320,7410,0,7410,0,0,0,0,0,0,2,1,5,4,4,24,55,22.1,53.34, ,1,N,0,5,6008,840093,0,0,1910,2005,2007,Greenwich Village Historic District, ,5.61,3.44,0,6.5,1,1005527505,1878,65,984288,205729,12c, ,103 018,10207, ,1005520029,9/24/2008,1, , ,17V1.1,7,167.4549818,1500.898091,834085,9,0,8066,8066,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +8067,MN,350,36,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,156 STANTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,EL CARIBE HOUSING DEV,1675,6210,1000,5210,0,1000,0,0,0,0,2,1,5,8,10,25,67,25,56, ,3,N,5,2,54355,347830,0,279529,1920,1986,1997, , ,3.71,4,0,4,1,1003500036,0,3001,988396,201800,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,189.820794,1778.136184,293475,1,0,8067,8067,7,1575,22.40999985,26.84777832,4.437778473,23.0439682,1.552898979,161.3077774 +8068,MN,349,14,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,153 STANTON STREET,R7A, , , , , , , , , ,N,C6,2,0,P,153 1/2 STANTON ST HD,2504,8085,1200,6885,0,1200,0,0,0,0,2,1,5,10,12,25,100.17,25,62, ,3,N,5,2,135000,310500,115970,115970,1920,1983,0, , ,3.23,4,0,4,1,1003490014,0,3001,988373,201669,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,252.5874739,2510.18506,175500,1,0,8068,8068,11,2475,24.4422226,25.95333481,1.511112213,24.97828328,0.607056362,274.761116 +8069,MN,615,112,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,268 WEST 12 STREET,R6, , , , , , , , , ,N,C4,2,0, ,268 WEST 12 OWNERS CO,5522,20830,0,20830,0,0,0,0,0,0,2,2,5,35,35,49.92,91.67,25,84, ,3,N,5,1,783000,2495250,0,0,1890,0,0,Greenwich Village Historic District, ,3.77,2.43,0,4.8,1,1006150112,0,77,983328,207919,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,297.415713,4993.531979,1712250,8,0,8069,8069,21,4725,23.05999947,26.09111023,3.031110764,23.20433807,0.645501878,487.2910995 +8070,MN,449,2,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,120 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C6,2,0,P,120 SECOND AVE OWNERS,3333,16251,2759,13492,0,2759,0,0,0,0,2,1,5,12,13,26.67,125,27,110, ,3,N,5,2,450000,1812150,4720,4720,1920,1988,0, , ,4.88,4,0,4,1,1004490002,0,38,987673,204508,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,311.0693754,3556.241493,1362150,12,0,8070,8070,16,3600,26.66699982,35.6866684,9.019668579,27.66480541,2.66529383,442.6368866 +8071,MN,425,41,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,10 DELANCEY STREET,C6-3A,C6-1, , , , , , , , ,Y,C7,4,0, ,T AND S REALTY CORP,3030,15120,2850,12270,0,1250,0,0,0,175,2,2,6,20,22,40,75.75,20,63, ,3,N,5,2,190350,1179450,0,0,1900,1987,0, , ,4.99,7.52,6,7.5,1,1004250041,0,18,986133,201735,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,232.0952011,3043.493168,989100,13,0,8071,8071,14,3150,38.80888748,38.80888748,0,38.80888748,0,543.3244247 +8072,MN,378,4,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,134 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,6418,32450,5000,27450,0,2500,0,0,0,0,2,2,6,22,24,77.33,83,38.67,70, ,0,N,5,0,315000,2305350,0,1672249,1900,1991,0, , ,5.06,4,0,4,1,1003780004,0,2602,990368,203385,12c, ,102 023,10202, ,1003780004,10/26/1992,1,1,1,17V1.1,0,326.4678559,6659.298983,1990350,12,1,8072,8072,30,6750,7.409999847,8.471111298,1.06111145,7.472092454,0.218990799,224.1627736 +8073,MN,743,14,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,349 WEST 19 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"NATHAN, LLOYD",1397,3168,0,2376,0,0,0,0,0,0,2,1,3,3,3,21.83,64,22,36, ,3,N,5,1,76741,211881,0,0,1920,1998,0, , ,2.27,3,0,3,1,1007430014,0,89,983682,210254,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,176.6131356,1454.647755,135140,7,0,8073,8073,6,1350,15.57888889,16.55222321,0.973334312,15.74111128,0.362740281,94.44666767 +8074,MN,574,55,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,21 WEST 10 STREET,R6, , , , , , , , , ,N,C1,2,0, ,WEST 10TH TOWNHOUSE L,2511,8589,0,8589,0,0,0,0,0,0,2,1,4,10,10,26.5,94.75,26,72, ,3,N,5,1,153282,575503,0,0,1900,1989,0,Greenwich Village Historic District, ,3.42,2.43,0,4.8,1,1005740055,0,63,985209,206735,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,251.2876182,2666.16498,422221,8,0,8074,8074,13,2925,20.66300011,24.78000069,4.11700058,21.90866676,1.700353127,284.8126678 +8075,MN,419,69,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,131 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,131 ELDRIDGE CORP.,1244,5845,1000,4845,0,1000,0,0,0,0,2,1,5,8,9,25,49.75,25,44, ,3,N,5,2,41049,178276,0,0,1900,0,0, , ,4.7,4,4,4,1,1004190069,0,18,986532,201198,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,155.1012135,1325.96915,137227,13,0,8075,8075,7,1575,39.86888886,39.86888886,0,39.86888886,0,279.082222 +8076,MN,525,7506,102,65,4001,2,1,10012,L009,6,15,5700,2,2, ,184 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,THE 184 THOMPSON COND,12500,98134,13000,85134,0,13000,0,0,0,0,2,1,9,144,145,100,125,100,125,E,3,N,3,5,1358999,11679750,44840,44840,1910,1979,2003,South Village Historic District, ,7.85,3.44,0,6.5,1,1005257506,1685,65,984352,204544,12c, ,103 007,10206, ,1005250042,4/24/2007,1, , ,17V1.1,7,464.0884515,13270.31148,10320800,9,0,8076,8076,58,13050,23.62666702,28.32333374,4.696666718,24.00024937,1.128490776,1392.014463 +8077,MN,764,57,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,236 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,15TH REALTY ASSOCIATE,4233,17154,2900,14254,2900,0,0,0,0,0,2,1,6,35,36,41,103.25,41,89, ,3,N,5,2,402750,1783800,0,0,1901,0,0, , ,4.05,4,0,4,1,1007640057,0,81,983986,208782,8d,Y,103 032,10304, ,0, ,1, , ,17V1.1,0,300.84626,4695.600478,1381050,7,0,8077,8077,20,4500,22.05333328,22.05333328,0,22.05333328,0,441.0666656 +8078,MN,623,38,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,296 WEST 4 STREET,R6, , , , , , , , , ,N,C4,2,0,P,298 W 4 ST CORP,1680,8760,1100,7660,0,1100,0,0,0,0,2,1,6,10,12,42,40,42,40, ,3,N,3,2,257400,881100,0,0,1910,0,0,Greenwich Village Historic District, ,5.21,2.43,0,4.8,1,1006230038,0,77,983188,207678,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,172.38957,1856.344044,623700,8,0,8078,8078,8,1800,23.62700081,27.46222305,3.835222244,24.46691728,1.474081912,195.7353382 +8079,MN,908,35,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,240 EAST 28 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"240 DANIELS FAMILY, L",3703,17569,2700,14869,0,2700,0,0,0,0,2,1,6,28,31,37.5,98.75,38,99, ,3,N,5,2,156600,1850400,0,0,1920,1984,0, , ,4.74,4,0,4,1,1009080035,0,66,989985,209268,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,271.6910798,3452.432997,1693800,11,0,8079,8079,15,3375,32.6922226,35.33555603,2.643333435,32.86844482,0.659363205,493.0266724 +8080,MN,846,57,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,865 BROADWAY,M1-5M,C6-4, , , , ,US, , , ,Y,K4,4,0, ,JAISI REALTY CORP,2709,13375,13375,0,2675,8025,0,0,2675,0,2,1,5,0,5,25.08,108,25,108, ,3,Y,5,2,450000,3342600,0,0,1910,0,0,Ladies' Mile Historic District, ,4.94,0,5,6.5,1,1008460057,0,52,986881,207999,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,274.4909142,2866.752555,2892600,7,0,8080,8080,13,2925,39.36555481,42.6008873,3.235332489,39.61442654,0.862116962,514.987545 +8081,MN,564,32,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,33 EAST 12 STREET,C6-1,C1-7, , , , , , , , ,Y,M1,8,0,X,VILLAGE TEMPLE,2025,3659,3659,0,0,0,0,0,0,3659,2,1,2,0,2,25,84.58,25,77, ,2,Y,5,1,266400,577800,266400,577800,1920,1984,0, , ,1.81,3.44,6,6.5,1,1005640032,0,61,986405,206654,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,223.4915733,2095.626804,311400,8,0,8081,8081,8,1800,38.11633301,38.11633301,0,38.11633301,0,304.9306641 +8082,MN,455,43,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,349 EAST 13 STREET,C1-7A, , , , , , , , , ,N,S3,4,0,P,349 EAST 13TH STREET,1038,3672,918,2754,0,918,0,0,0,0,2,1,4,3,4,24,43.25,24,40,E,0,N,5,5,40444,60333,0,0,1900,0,0, , ,3.54,6.02,2,6.5,1,1004550043,0,40,988861,205577,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,140.9971322,1126.956207,19889,12,0,8082,8082,5,1125,22.17099953,22.17099953,0,22.17099953,0,110.8549976 +8083,MN,732,72,104,111,2003,2,3,10001,L021,10,15,5500,1,4,2B,442 10 AVENUE,C6-4, , , , , ,HY, , , ,N,C7,4,0, ,442-10 OWNER LLC,2467,8905,1700,7205,0,1700,0,0,0,0,2,1,5,16,17,24.67,100,25,80, ,3,N,5,2,77400,980100,0,0,1900,1987,0, , ,3.61,10,10,10,1,1007320072,0,111,984662,214308,8d, ,105S029,10302,E-137,0, ,1, , ,17V1.1,0,257.9071856,2598.843794,902700,6,0,8083,8083,12,2700,43.29888916,47.15777588,3.858886719,44.19749991,1.562320433,530.3699989 +8084,MN,818,19,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,27 WEST 16 STREET,C6-2M,C6-4A, , , , , , , , ,Y,D5,3,0,P,27 WEST 16TH STREET L,9200,41300,0,41300,0,0,0,0,0,0,2,1,7,75,75,50,184,50,116, ,3,Y,4,5,1764000,5286600,0,0,1907,1986,0,Ladies' Mile Historic District, ,4.49,6.02,6,6.5,1,1008180019,0,54,985810,208284,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,488.4526706,7096.015906,3522600,7,0,8084,8084,32,7200,31.11599922,34.92111206,3.805112839,31.28054088,0.68010882,1000.977308 +8085,MN,562,7503,102,61,2001,2,2,10003,E033,6,15,5700,3,2, ,66 EAST 11 STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,4021,29278,340,28938,0,0,340,0,0,0,2,1,8,6,7,0.09,0,42,86, ,0,N,0,5,257136,3149037,0,0,1929,0,0, , ,7.28,3.44,6,6.5,1,1005627503,2481,61,986371,206204,12c, ,103 025,10207, ,1005620016,5/1/2014,1, , ,17V1.1,7,284.6970194,4235.065102,2891900,8,0,8085,8085,18,4050,34.39444351,40.78777695,6.393333435,35.37775845,2.204577871,636.7996521 +8086,MN,394,48,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,641 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,REHABILITATION IN ETA,5162,11072,0,11072,0,0,0,0,0,0,2,2,4,9,9,50,103.25,25.83,48.83, ,0,N,5,5,59783,301662,0,241879,1900,0,0, , ,2.14,4,0,4,1,1003940048,0,28,990459,204117,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,314.9202665,5385.023059,241879,12,1,8086,8086,24,5400,6.934999943,11.75333309,4.818333149,7.897768458,1.356556006,189.546443 +8087,MN,435,9,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,132 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,90 ST MARKS LTD,1166,5940,1188,4752,0,1188,0,0,0,0,2,1,5,5,6,21.58,54,22,54, ,0,N,3,5,83971,311622,0,0,1900,1984,2009, , ,5.09,4,0,4,1,1004350009,0,32,988369,204290,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,156.9010638,1250.408114,227651,12,0,8087,8087,4,900,20.24200058,24.40333366,4.161333084,21.28233385,1.801910082,85.1293354 +8088,MN,237,21,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,139 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0, ,139 MOTT STREET REALT,2450,8550,8550,0,4900,2430,0,1220,0,0,2,1,3,0,1,25,98.92,25,98, ,3,Y,5,2,121950,779850,0,0,1910,0,0, , ,3.49,6.02,6,6.5,1,1002370021,0,41,985103,201108,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,250.5184448,2505.228889,657900,0,0,8088,8088,11,2475,31.18466568,31.40799904,0.223333359,31.38769601,0.064203826,345.2646561 +8089,MN,583,4,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,426 HUDSON STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,426 HUDSON ST INC,1760,5280,0,5280,0,0,0,0,0,0,2,1,4,8,8,22,80,22,60, ,3,N,5,5,143060,218940,0,0,1900,0,0,Greenwich Village Historic District, ,3,3.44,2,6.5,1,1005830004,0,67,982446,205416,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,210.2670931,1829.055348,75880,9,0,8089,8089,9,2025,15.38333321,18.77444458,3.391111374,16.02641975,1.225724669,144.2377777 +8090,MN,832,76,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,54 WEST 31 STREET,C6-4X, , , , , , , , , ,N,K4,4,0,P,BROADWAY AND WEST THI,1260,3290,3290,0,0,3290,0,0,0,0,2,1,3,0,1,20,63,20,63,E,2,N,5,2,292500,801450,0,0,1910,2003,0, , ,2.61,10,10,10,1,1008320076,0,76,987345,211634,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,168.1755059,1229.780038,508950,6,0,8090,8090,6,1350,42.72555542,43.25099945,0.525444031,43.16342545,0.195821429,258.9805527 +8091,MN,774,80,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,278 WEST 25 STREET,C6-2A, , , , , , , , , ,N,B9,1,0, ,LEBAN ADRIENNE,937,2052,0,1881,0,0,0,0,0,0,2,1,3,2,2,19,49.33,19,33, ,3,N,5,1,21302,38522,1550,1550,1900,1980,0, , ,2.19,6.02,6,6.5,1,1007740080,0,91,985025,211161,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,145.1998709,1033.937684,17220,2,0,8091,8091,3,675,24.85199928,24.85199928,0,24.85199928,0,74.55599785 +8092,MN,572,32,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,16 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0, ,16 WEST 9TH LLC,2082,4873,0,4873,0,0,0,0,0,0,2,1,5,1,1,22.17,93.92,22,72, ,3,N,5,2,80537,612842,0,0,1920,1987,0,Greenwich Village Historic District, ,2.34,2.43,0,4.8,1,1005720032,0,63,985065,206363,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.4941645,2052.619227,532305,8,0,8092,8092,9,2025,18.70499992,24.05444336,5.349443436,19.56580226,1.754266431,176.0922203 +8093,MN,574,1,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,442 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,442 VILLAGE PROPERTIE,1304,3762,1053,2709,0,1053,0,0,0,0,2,1,3,2,3,25,52.17,25,52, ,2,N,3,2,79058,197054,0,0,1901,0,0,Greenwich Village Historic District, ,2.88,3.44,2,6.5,1,1005740001,0,63,984692,206980,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,159.4296748,1411.014792,117996,8,0,8093,8093,7,1575,20.66300011,21.23111153,0.56811142,20.74415888,0.198797585,145.2091122 +8094,MN,495,26,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,247 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,247 MULBERRY STREETCO,2492,10500,1500,9000,0,1500,0,0,0,0,2,1,5,18,19,25,99.67,25,84, ,2,N,5,2,79650,1473750,0,0,1900,0,0, , ,4.21,6.02,6,6.5,1,1004950026,0,43,985333,202717,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,254.9462116,2561.176062,1394100,0,0,8094,8094,10,2250,37.57110977,40.81777954,3.246669769,37.89577675,0.974000931,378.9577675 +8095,MN,875,60,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,21 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,D3,3,0, ,21 GRAMERCY PARK HOLD,2730,12948,0,12948,0,0,0,0,0,0,2,1,6,23,23,26,105,26,78,E,3,N,5,1,391050,1664550,0,0,1910,1955,0,Gramercy Park Historic District, ,4.74,3,0,3,1,1008750060,0,50,988130,207910,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,275.9145912,2904.745682,1273500,5,0,8095,8095,13,2925,25.84222221,30.32110977,4.478887558,27.12435884,1.929515693,352.6166649 +8096,MN,566,1,102,59,1001,2,2,10003,E033,6,15,5700,1,2,3A,9 5 AVENUE,R10,R7-2,C1-7, , , , , , , ,Y,D4,3,0,P,THE 3RD BREVOORT CORP,37566,392071,44090,347981,0,9090,35000,0,0,0,2,1,20,267,273,187.83,200,180,190, ,2,N,3,2,3838500,48465450,756570,756570,1955,0,0,Greenwich Village Historic District, ,10.44,10,0,10,1,1005660001,0,59,985450,206093,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,796.0886464,39529.23215,44627000,8,0,8096,8096,177,39825,27.73555565,29.74333382,2.007778168,28.7382763,0.217059506,5086.674906 +8097,MN,143,20,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,333 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,A7,1,0,P,NASSER AHMAD,1730,6800,0,6800,0,0,0,0,0,0,2,1,6,1,1,25,67,25,54, ,3,Y,4,4,77770,274896,0,0,2000,0,0,Tribeca West Historic District, ,3.93,6.02,6,6.5,1,1001430020,0,39,981398,200800,12a, ,11S 016,10104, ,1001430020,3/9/2000,1, , ,17V1.1,0,184.7690047,1596.816172,197126,14,0,8097,8097,7,1575,16.63222313,16.87599945,0.243776321,16.84117426,0.085303943,117.8882198 +8098,MN,896,19,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,239 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,C7,4,0, ,239 E. 14TH STREET L.,2685,8858,2300,6558,0,2300,0,0,0,0,2,1,5,8,9,26,103.25,26,100,E,3,N,5,2,122205,468475,0,0,1900,1978,2012, , ,3.3,4,2,4,1,1008960019,0,48,988301,206272,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,267.6010185,2883.616255,346270,12,0,8098,8098,12,2700,29.86800003,29.86800003,0,29.86800003,0,358.4160004 +8099,MN,819,37,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,118 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,120 FEE LLC,5727,65857,65857,0,60257,5600,0,0,0,0,2,1,11,0,7,52.5,110,53,110, ,2,N,3,2,1800000,12579300,0,0,1906,1986,1987,Ladies' Mile Historic District, ,11.5,10,10,10,1,1008190037,0,54,986339,208214,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,347.0996359,6675.773508,10779300,7,0,8099,8099,30,6750,32.36888886,39.01666641,6.647777557,32.79959259,1.612270666,983.9877777 +8100,MN,592,8,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,122 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,S2,4,0, ,122 WASHINGTON PLACE,1278,3168,792,2376,0,792,0,0,0,0,2,1,4,2,3,18,71,18,42, ,3,N,5,1,72949,187867,0,0,1920,0,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1005920008,0,71,983826,206183,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,187.3388502,1344.737209,114918,9,0,8100,8100,6,1350,17.50333405,17.98111153,0.477777481,17.58296363,0.178057154,105.4977818 +8101,MN,273,16,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,189 MADISON STREET,R7-2, , , , , , , , , ,N,M9,8,0, ,PENTECOSTAL EL MESIAS,2383,6350,2300,4050,0,0,0,0,0,2300,2,1,5,3,3,23.83,100,23.83,45,E,0,N,5,5,172800,702000,172800,666900,1900,1964,0, , ,2.66,3.44,0,6.5,1,1002730016,0,6,986811,198978,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,254.0214925,2519.28909,529200,16,0,8101,8101,10,2250,23.87533379,26.43666649,2.561332703,24.36260033,0.976135096,243.6260033 +8102,MN,193,7506,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,42 WHITE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,KEA CONDOMINIUM CORP,2510,12731,3906,8825,0,0,0,0,0,3906,2,1,6,5,6,24.11,100.1,0,0, ,0,N,0,5,46890,483195,2360,2360,1920,0,0,Tribeca East Historic District, ,5.07,6.02,6,6.5,1,1001937506,936,33,983078,201157,12a, ,101N046,10105, ,1001930013,12/24/1996,1, , 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,17V1.1,0,270.4394596,4143.922355,2007000,9,0,8104,8104,18,4050,20.90555573,23.56666756,2.661111832,21.09735817,0.625634597,379.7524471 +8105,MN,771,64,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,248 WEST 22 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,"LAHM, DAVID F.",2444,4600,0,4600,0,0,0,0,0,0,2,1,4,3,3,24.75,98.75,20,60, ,2,N,5,2,65039,190435,0,0,1901,2005,0, , ,1.88,4,0,4,1,1007710064,0,87,984813,210321,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.9338648,2591.722394,125396,7,0,8105,8105,11,2475,21.99111176,22.94000053,0.948888779,22.14454599,0.328548097,243.5900059 +8106,MN,806,7501,105,101,1006,2,3,10001,L024,14,15,5200,1,5, ,143 WEST 30 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,2469,19532,2874,16658,0,2874,0,0,0,0,2,1,15,26,27,25,98.75,25,99, ,3,N,0,5,674993,2767498,0,1482548,2008,0,0, , ,7.91,0,10,10,1,1008067501,2357,101,986630,211896,8d, ,105S023,10305, ,1008060012,3/7/2013,1, , 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,17V1.1,0,151.8070975,1285.260697,75886,9,0,8120,8120,5,1125,17.54000092,17.54000092,0,17.54000092,0,87.70000458 +8121,MN,235,16,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,150 BAXTER STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,KOW QUEN REALTY CORP.,3555,13300,1500,11800,0,1500,0,0,0,0,2,1,6,20,21,50.33,69,50,56, ,3,Y,5,2,135000,703800,0,0,1900,1983,0, , ,3.74,0,5,6.5,1,1002350016,0,41,984665,201320,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,238.0440359,3400.277307,568800,0,0,8121,8121,14,3150,18.99699974,18.99699974,0,18.99699974,0,265.9579964 +8122,MN,443,25,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,77 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ESTATE REALTY INC.,1800,6572,0,6572,0,0,0,0,0,0,2,1,5,10,10,25,73.67,25,50, ,3,Y,5,2,41747,166810,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3.65,4,0,4,1,1004430025,0,3602,987320,203095,12c, ,102 010,10205, ,0, ,1, , 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+8127,MN,784,54,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,218 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,H2,5,0, ,34TH STREET PENN ASSO,7357,201307,60181,0,43279,16902,0,0,0,0,2,1,39,348,349,75,98.75,75,98.75, ,3,N,5,0,571500,31760550,0,0,2010,2013,0, , ,27.36,0,10,10,1,1007840054,0,109,986735,213175,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,342.8116456,7050.437761,31189100,6,0,8127,8127,29,6525,34.68444443,37.88199997,3.197555542,34.79470496,0.583443915,1009.046444 +8128,MN,399,7502,103,32,5000,1,2,10009,E028,9,14,6600,3,3, ,238 EAST 4 STREET,R7A, , , ,C1-5, , , , , ,N,R6,2,0, , ,2212,11202,0,11202,0,0,0,0,0,0,2,1,6,2,2,0.05,96.17,23,96.17, ,0,N,0,5,35467,110345,0,0,1955,2009,0, , ,5.06,4,0,4,1,1003997502,2157,32,988953,202778,12c, ,102 012,10203, ,1003990028,8/9/2010,1, , ,17V1.1,7,250.8551369,2512.704384,74878,1,0,8128,8128,11,2475,18.04222298,19.44000053,1.397777557,18.16929366,0.401832795,199.8622303 +8129,MN,700,54,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,536 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,L9,6,0,P,"LK2, LLC",2468,6500,6500,0,6500,0,0,0,0,0,2,1,4,0,1,25,98.75,25,65, ,3,N,5,2,166500,463950,0,0,1904,0,0, , ,2.63,7.52,6,10,1,1007000054,0,99,983322,213252,8b, ,105S015,10301,E-142,0, ,1, , ,17V1.1,0,253.4660147,2543.327383,297450,6,1,8129,8129,11,2475,11.49300003,13.28111076,1.788110733,11.85410101,0.570878381,130.3951111 +8130,MN,778,7,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,253 WEST 28 STREET,M1-6D, , , , , , , , , ,N,L8,6,0, ,253 W 28TH ST CORP,5818,40147,40147,0,0,12072,0,0,0,28075,2,1,5,0,5,49.75,116.94,50,117, ,2,N,5,2,459000,3114000,0,0,1920,1983,0, , ,6.9,10,10,10,1,1007780007,0,95,985498,211940,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,344.8896838,5853.685998,2655000,2,0,8130,8130,25,5625,26.68777847,26.68777847,0,26.68777847,0,667.1944618 +8131,MN,220,27,101,33,3003,2,1,10013,L008,1,15,7700,1,1,3B,36 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,D1,3,0, ,THE 36 LAIGHT STREET,3803,26712,0,26712,0,0,0,0,0,0,2,1,7,14,14,20.42,175,20,175,E,0,Y,4,5,197100,2698650,0,0,1900,2003,0,Tribeca North Historic District, ,7.02,6.02,6,6.5,1,1002200027,0,33,982190,202402,12a, ,101N042,10105, ,0, ,1, , ,17V1.1,0,398.4827404,3721.421998,2501550,0,1,8131,8131,19,4275,11.22399998,11.22399998,0,11.22399998,0,213.2559996 +8132,MN,608,37,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,104 WEST 13 STREET,R6, , , , , , , , , ,N,C6,2,0, ,104 W 13TH ST OWNERS,2065,5000,1548,3452,0,1548,0,0,0,0,2,1,3,2,3,20,103.25,20,85,E,2,N,5,1,115614,431841,0,0,1920,0,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006080037,0,71,984808,207672,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.5006486,2101.286193,316227,8,0,8132,8132,10,2250,24.04400063,25.69555473,1.651554108,24.30293388,0.5419036,243.0293388 +8133,MN,151,10,101,33,1008,2,1,10007,L001,1,15,7700,1,1,3A,117 DUANE STREET,C6-4, , , , , , , , , ,N,O6,5,0,X,NEW YORK STATE INSURA,17500,314784,314784,0,309784,5000,0,0,0,0,2,1,15,0,2,100,175,100,175, ,1,N,3,1,4635000,25835850,4635000,25835850,1954,1981,0, , ,17.99,10,10,10,1,1001510010,0,33,982424,200188,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,561.8587307,18301.51967,21200900,14,0,8133,8133,80,18000,23.81777763,25.13444519,1.316667557,24.01568036,0.146061733,1921.254429 +8134,MN,555,123,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,88 EAST 10 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,"ECKRICH PROPERTIES, L",1952,7560,7560,0,5670,1890,0,0,0,0,2,1,3,2,4,21.17,92.5,21,90, ,3,Y,5,1,138150,793350,0,0,1900,0,0, , ,3.87,6.02,6,6.5,1,1005550123,0,42,987073,205529,12c, ,102 017,10207,E-254,1005550021,12/19/1986,1, , ,17V1.1,0,231.2613249,2011.911205,655200,12,0,8134,8134,8,1800,38.18777847,38.18777847,0,38.18777847,0,305.5022278 +8135,MN,181,18,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,177 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,THE BEDROCK BUILDING/,2187,12100,12100,0,9875,2225,0,0,0,0,2,1,6,0,7,25,88.92,25,89,E,3,Y,5,2,162450,1497150,0,0,1920,0,0,Tribeca West Historic District, ,5.53,6.02,6,6.5,1,1001810018,0,39,981623,201287,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,223.1695472,2095.693507,1334700,14,0,8135,8135,9,2025,18.25200081,18.45444489,0.202444077,18.28106244,0.064010819,164.529562 +8136,MN,804,15,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,139 WEST 28 STREET,M1-6, , , , , , , , , ,N,C4,2,0,P,"FLOWER 28, LLC",2987,11180,1118,10062,0,1118,0,0,0,0,2,1,5,15,17,29.5,98.75,30,86, ,3,Y,5,2,115650,960750,0,0,1901,1988,0, , ,3.74,0,10,10,1,1008040015,0,95,986420,211420,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,262.2000427,3033.000138,845100,2,0,8136,8136,14,3150,33.41199875,33.41199875,0,33.41199875,0,467.7679825 +8137,MN,203,25,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,74 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,O5,5,0, ,NEW YORK JEWELERS EXH,3151,8510,8510,0,5380,3130,0,0,0,0,2,1,5,0,16,25.17,125,25,125, ,3,N,5,2,258750,1822950,0,0,1915,1988,2014, , ,2.7,3.44,6,6.5,1,1002030025,0,41,985314,200432,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,306.8818862,3210.989746,1564200,0,0,8137,8137,13,2925,40.21222305,40.21222305,0,40.21222305,0,522.7588997 +8138,MN,495,29,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,243 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,243F MULBERRY STREET,2481,5800,800,5000,0,800,0,0,0,0,2,2,5,8,9,25,99.25,25,49, ,3,N,5,2,174469,879465,174469,541429,1880,2000,0, , ,2.34,6.02,6,6.5,1,1004950029,0,43,985318,202669,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,255.5541619,2592.001123,704996,0,0,8138,8138,10,2250,37.57110977,41.01555634,3.444446564,39.18833237,1.620240361,391.8833237 +8139,MN,435,10,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,92 ST MARKS PLACE,R7A, , , ,C1-5, , , , , ,N,S5,4,0,P,92 SMP REALTY LLC,1542,4955,991,3964,0,991,0,0,0,0,2,1,5,5,6,21,73.17,21,48, ,3,N,5,5,44169,130321,0,0,1900,1986,0, , ,3.21,4,0,4,1,1004350010,0,32,988391,204247,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,197.3056226,1718.79094,86152,12,0,8139,8139,8,1800,20.24200058,23.91555405,3.673553467,20.70302796,1.214230217,165.6242237 +8140,MN,473,44,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1F,178 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,178 LAFAYETTE STREET,2525,10584,705,9879,0,705,0,0,0,0,2,1,6,20,21,25.08,100.5,25,85, ,3,N,5,2,67500,270000,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,4.19,0,5,6.5,1,1004730044,0,45,984543,201821,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,255.1619634,2549.081055,202500,0,0,8140,8140,11,2475,25.26311111,26.63333321,1.370222092,26.13294931,0.304835098,287.4624424 +8141,MN,452,32,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,173 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"J.R.R. MONTELEPRE, LT",1483,5759,1152,4607,0,1152,0,0,0,0,2,1,5,8,9,23.17,64,23,48, ,3,N,5,2,47402,234579,0,0,1900,0,0, , ,3.88,4,0,4,1,1004520032,0,40,988568,204973,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,178.5011501,1586.705882,187177,12,0,8141,8141,7,1575,22.86222267,22.86222267,0,22.86222267,0,160.0355587 +8142,MN,888,45,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,162 EAST 33 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,162 E. 33 LLC,2469,9895,2245,7650,0,2245,0,0,0,0,2,1,5,7,8,25,98.75,25,96, ,3,N,5,2,299361,1258363,0,671301,1910,2005,2005, , ,4.01,4,0,4,1,1008880045,0,72,989997,210733,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,249.1993481,2489.97928,959002,10,0,8142,8142,9,2025,24.35555458,24.35555458,0,24.35555458,0,219.1999912 +8143,MN,188,1,101,39,4002,2,1,10013,E007,1,15,7700,1,1,3B,55 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,LEICESTERCHIRE ARMS L,4380,23700,4250,19450,0,4250,0,0,0,0,2,1,6,12,14,49,88.08,49,88,E,3,N,5,2,394200,2340900,0,0,1915,1978,0,Tribeca West Historic District, ,5.41,6.02,6,6.5,1,1001880001,0,39,981711,201671,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,275.8048754,4368.079896,1946700,14,0,8143,8143,17,3825,15.11899948,15.11899948,0,15.11899948,0,257.0229912 +8144,MN,392,25,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,380 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,380-382 E. 10TH LLC,2307,9075,800,8275,0,800,0,0,0,0,2,1,5,18,20,25,92.25,25,80, ,3,N,5,2,184500,1223550,0,0,1930,1983,2011, , ,3.93,4,0,4,1,1003920025,0,28,990207,203793,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.6019011,2409.300474,1039050,12,1,8144,8144,11,2475,7.576999664,9.595555305,2.018555641,7.760504723,0.580293946,85.36555195 +8145,MN,885,33,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,137 EAST 29 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,137 EAST 29TH & 146EA,4444,18234,0,18234,0,0,0,0,0,0,2,1,6,25,25,45,98.75,45,83, ,3,N,5,2,450000,2205900,0,0,1920,1982,0, , ,4.1,4,0,4,1,1008850033,0,72,989456,210034,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,294.0005296,4624.979763,1755900,11,0,8145,8145,20,4500,30.56200027,30.56200027,0,30.56200027,0,611.2400055 +8146,MN,765,51,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,212 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,212 W. 16TH .,2581,5005,0,5005,0,0,0,0,0,0,2,2,3,23,23,25,103.25,20,35, ,3,N,5,2,193050,629550,0,0,1890,0,0, , ,1.94,4,0,4,1,1007650051,0,81,984349,208886,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,265.2886323,2889.065112,436500,7,0,8146,8146,14,3150,22.05333328,22.73333359,0.680000305,22.14365074,0.221967479,310.0111103 +8147,MN,636,41,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,396 WEST STREET,C1-6A, , , , , , , , , ,N,H4,5,0,P,396 WEST STREET LLC,3612,10514,3961,0,0,3961,0,0,0,0,2,1,3,0,2,44.67,88,44.67,90, ,3,Y,3,2,330750,770400,0,0,1900,1988,0,Weehawken Street Historic District, ,2.91,4,2,4,1,1006360041,0,75,981522,206446,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,269.4612719,4053.905931,439650,9,1,8147,8147,19,4275,8.764888763,9.192000389,0.427111626,9.16952083,0.095372693,174.2208958 +8148,MN,765,18,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 15 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,233233 COMPANY,2581,8760,0,8760,0,0,0,0,0,0,2,1,4,6,6,25,103.25,25,78, ,3,N,5,5,129597,605267,0,0,1901,1973,0, , ,3.39,4,0,4,1,1007650018,0,81,984122,208891,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.5298754,2571.692249,475670,7,0,8148,8148,12,2700,22.05333328,28.5933342,6.540000916,23.86416674,2.706043885,286.3700008 +8149,MN,802,35,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,775 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,D0,3,0, ,775 LOFT CORP,2467,14814,2000,12814,0,2000,0,0,0,0,2,1,6,5,9,24.67,100,25,94, ,2,N,3,2,113710,813218,2360,2360,1904,0,0, , ,6,10,10,10,1,1008020035,0,95,986561,210712,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,262.4729472,2815.159519,699508,2,0,8149,8149,12,2700,40.34000015,40.34000015,0,40.34000015,0,484.0800018 +8150,MN,175,20,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,43 WHITE STREET,C6-2A, , , , , , , , , ,N,D5,3,0,P,P & J BRAUN,4993,33500,4655,28845,0,4655,0,0,0,0,2,1,7,18,20,49.25,100,49,95,E,3,N,5,2,316800,3950550,0,0,1915,2007,2004,Tribeca East Historic District, ,6.71,6.02,6,6.5,1,1001750020,0,33,983035,201010,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,309.3351198,5200.167839,3633750,14,0,8150,8150,22,4950,17.40222168,20.42111206,3.018890381,17.65323188,0.797560081,388.3711014 +8151,MN,350,73,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,147 ATTORNEY STREET,R7A, , , , , , , , , ,N,G1,10,0,P,147 ATTORNEY STREET,2040,1850,1850,0,0,0,1850,0,0,0,2,1,1,0,1,34,60,34,56, ,2,N,5,0,105300,190350,0,0,1963,0,0, , ,0.91,4,0,4,1,1003500073,0,2201,988772,201702,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,196.4987988,2267.396805,85050,1,0,8151,8151,10,2250,21.35555649,21.35555649,0,21.35555649,0,213.5555649 +8152,MN,743,8,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,361 WEST 19 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,SAMUEL J ELLIS,2024,4576,0,3432,0,0,0,0,0,0,2,1,2,3,3,22,92,22,52, ,3,N,5,1,49274,148178,0,0,1910,0,0, , ,2.26,3,0,3,1,1007430008,0,89,983588,210322,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,230.7323538,2054.046093,98904,7,0,8152,8152,10,2250,15.57888889,17.52444458,1.945555687,16.14988871,0.872444766,161.4988871 +8153,MN,508,33,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,257 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,K1,5,0, ,257 ELIZABETH REALTYC,2088,1980,1980,0,0,1980,0,0,0,0,2,1,1,0,1,24,87.75,20,88, ,2,N,5,0,189000,1565550,0,0,1940,2003,0, , ,0.95,6.02,6,6.5,1,1005080033,0,43,985918,202962,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,232.6497087,2154.684083,1376550,9,0,8153,8153,10,2250,44.87400055,44.87400055,0,44.87400055,0,448.7400055 +8154,MN,76,8,101,15.02,2001,2,1,10038,E006,1,15,7700,1,1,1B,25 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,O2,5,0, ,UNIFORMED SANITATIONM,5815,21200,21200,0,21200,0,0,0,0,0,2,1,4,0,1,50.25,164.58,50,138, ,2,Y,4,2,454500,1410750,0,0,1946,0,0, , ,3.65,10,10,10,1,1000760008,0,1502,982743,197371,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,419.9704634,6220.2007,956250,4,0,8154,8154,28,6300,18.42000008,19.11599922,0.695999146,19.09114211,0.129161345,534.5519791 +8155,MN,529,15,102,55.02,2003,2,1,10012,L009,9,15,5700,1,2,2A,348 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,N2,8,0,P,350 LAFAYETTE OWNER L,3260,14925,14925,0,0,0,0,0,0,14925,2,1,4.5,0,1,115,25,114.92,25, ,3,Y,3,1,384300,1007100,0,0,1913,1970,0,NoHo Historic District, ,4.58,0,5,6.5,1,1005290015,0,5502,985788,203957,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,298.1880824,3615.28028,622800,9,0,8155,8155,14,3150,43.20800018,43.20800018,0,43.20800018,0,604.9120026 +8156,MN,765,25,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,219 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"FIRST CHELSEA REALTY,",1566,6330,0,6330,0,0,0,0,0,0,2,1,5,9,9,15.17,103.25,15,90, ,3,N,5,1,36827,248084,0,195435,1901,2005,0, , ,4.04,4,0,4,1,1007650025,0,81,984266,208811,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,243.3354627,1718.597693,211257,7,0,8156,8156,9,2025,22.05333328,26.04999924,3.996665955,22.7416047,1.355650877,204.6744423 +8157,MN,429,39,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,11 AVENUE A,R8A, , , ,C2-5, , , , , ,N,K4,4,0, ,11 AVENUE A REALTY LL,1500,3918,3918,0,0,1500,0,2418,0,0,2,1,3,0,2,18.75,80,19,78,E,3,N,5,2,135000,468000,0,0,1900,2015,2015, , ,2.61,6,0,6,1,1004290039,0,3002,988048,202579,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,201.9438005,1551.1457,333000,1,0,8157,8157,6,1350,25.1779995,25.1779995,0,25.1779995,0,151.067997 +8158,MN,589,144,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,5B CARMINE STREET,R6,R7-2, , ,C1-5, , , , , ,Y,A9,1,0, ,"CHIPMAN, RALPH",4226,1500,0,1500,0,0,0,0,0,0,2,1,3,1,1,26.75,46.63,20,26, ,3,Y,6,0,17536,88749,1550,1550,1900,1987,0,Greenwich Village Historic District Exte, ,0.35,2.43,0,4.8,1,1005890144,0,67,983637,205543,12a, ,103 005,10208, ,1005890043,1/5/1994,1, , ,17V1.1,0,121.3304419,726.8329919,71213,9,0,8158,8158,3,675,15.87222195,15.87222195,0,15.87222195,0,47.61666584 +8159,MN,348,36,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,150 DELANCEY STREET,C6-2A, , , , , , , , , ,N,H3,5,0, ,SC DELANCEY LLC,6825,48002,0,10356,0,0,0,0,0,0,2,1,8,0,1,91,75,75,91, ,0,N,5,2,1143000,9497250,0,0,2011,0,0, , ,7.03,6.02,6,6.5,1,1003480036,0,1402,988076,200961,12c, ,101N080,10201,E-216,1003480036,12/10/2008,1, , ,17V1.1,0,342.8433325,7284.820098,8354250,13,0,8159,8159,32,7200,24.76333427,28.19888878,3.435554504,27.20836806,0.942142443,870.667778 +8160,MN,507,49,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,5 PRINCE STREET,C6-1, , , , , ,LI, , , ,N,L8,6,0,P,F & R REALTY ASSOCIAT,1740,3500,3500,0,0,1500,0,2000,0,0,2,1,3,2,3,20.58,90,21,91, ,3,Y,5,2,135000,471150,0,0,1900,1988,0, , ,2.01,3.44,6,6.5,1,1005070049,0,43,986011,202581,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,220.2837304,1760.023485,336150,0,0,8160,8160,8,1800,46.38299942,46.38299942,0,46.38299942,0,371.0639954 +8161,MN,625,15,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,317 WEST 12 STREET,C1-6, , , , , , , , , ,N,S4,4,0, ,"VIVICAR, LLC",985,2784,300,2484,0,300,0,0,0,0,2,1,3,4,5,24.5,37,25,37, ,3,Y,3,5,165959,420779,0,0,1910,1975,2013,Greenwich Village Historic District, ,2.83,3.44,2,6.5,1,1006250015,0,79,982620,208034,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,143.2900461,1157.585907,254820,8,0,8161,8161,6,1350,15.4800005,15.4800005,0,15.4800005,0,92.88000298 +8162,MN,874,48,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,144 EAST 19 STREET,C1-9A, , , , , , , , , ,N,A4,1,0, ,DOUGHERTY JAMES D,1840,2429,0,2429,0,0,0,0,0,0,2,1,4,1,1,20,92,20,40,E,3,N,5,2,55482,161740,0,0,1910,0,0,Gramercy Park Historic District, ,1.32,10,2,10,1,1008740048,0,50,988266,207562,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,234.488192,1917.995527,106258,5,0,8162,8162,9,2025,27.68333435,28.01000023,0.326665878,27.71963056,0.102661181,249.476675 +8163,MN,620,63,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,68 CHARLES STREET,R6, , , , , , , , , ,N,B9,1,0, ,BENJAMIN J. JENKINS,910,2952,0,2214,0,0,0,0,0,0,2,1,3,2,2,18.5,49.17,18.5,40, ,3,N,5,1,51404,154170,0,0,1899,2010,0,Greenwich Village Historic District, ,3.24,2.43,0,4.8,1,1006200063,0,73,983316,206960,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,144.7223821,1011.316935,102766,8,0,8163,8163,5,1125,24.70777702,27.32777786,2.620000839,25.23177719,1.048000336,126.158886 +8164,MN,526,22,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,194 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C6,2,0, ,194 BLEECKER OWNERS C,2450,11210,750,10460,0,750,0,0,0,0,2,2,6,22,24,25,98,25,84, ,3,N,5,2,194850,1871100,0,0,1900,2015,0,South Village Historic District, ,4.58,3.44,0,6.5,1,1005260022,0,65,983784,204930,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,256.3446589,2641.230867,1676250,9,0,8164,8164,12,2700,20.00333405,22.10000038,2.096666336,20.17805624,0.579487962,242.1366749 +8165,MN,588,66,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,316 BLEECKER STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,"GROVE TR, LLC.",648,2148,537,1611,0,537,0,0,0,0,2,1,4,3,5,23.92,27.5,24,27, ,2,Y,3,5,90199,247826,0,0,1910,2014,0,Greenwich Village Historic District, ,3.31,3.44,2,6.5,1,1005880066,0,73,983099,206314,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,106.0317279,696.2092754,157627,9,0,8165,8165,4,900,20.90555573,21.39422226,0.488666534,21.02772236,0.211598816,84.11088943 +8166,MN,738,26,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,315 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,D3,3,0, ,PR 14 LLC,3125,10050,0,10050,0,0,0,0,0,0,2,1,5,30,30,25,125,25,90,E,3,N,5,1,196200,1264050,0,0,1900,0,0, , ,3.22,6.02,6,6.5,1,1007380026,0,83,983351,209022,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,315.8993695,3503.172963,1067850,7,0,8166,8166,17,3825,16.15333366,17.97444344,1.821109772,16.53581731,0.697478811,281.1088943 +8167,MN,612,65,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,39 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,BERNARDO FELIX,1562,7482,1550,5932,0,1550,0,0,0,0,2,1,5,12,14,26.83,82.17,27,77, ,3,Y,3,2,129150,1207800,0,0,1900,0,0,Greenwich Village Historic District, ,4.79,3.44,2,6.5,1,1006120065,0,71,984071,207187,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,199.2905168,1565.69341,1078650,8,0,8167,8167,7,1575,21.78555489,22.27955437,0.493999481,21.85612624,0.172863809,152.9928837 +8168,MN,239,29,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,104 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,HR,5,0, ,CHUNKIEN REALTY CORP,4183,13632,3316,0,0,3316,0,0,0,0,2,1,4,0,3,37.58,110.17,38,108, ,3,Y,5,2,437400,955800,0,0,1920,1988,2007, , ,3.26,3.44,6,6.5,1,1002390029,0,41,985516,200841,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,305.4511347,4230.564378,518400,0,0,8168,8168,18,4050,31.48699951,31.48699951,0,31.48699951,0,566.7659912 +8169,MN,589,4,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,243 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,243 BLEECKER STREET L,1886,4914,1090,3824,0,1090,0,0,0,0,2,1,4,3,4,20.92,90.25,21,60,E,3,Y,5,5,47213,362822,0,0,1920,1989,2009,Greenwich Village Historic District Exte, ,2.61,3.44,0,6.5,1,1005890004,0,67,983549,205552,12a, ,103 005,10208, ,1005890004,1/5/1994,1, , ,17V1.1,0,220.7610689,1832.754471,315609,9,0,8169,8169,9,2025,15.87222195,16.70755577,0.835333824,15.96503682,0.262520094,143.6853313 +8170,MN,790,28,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,103 WEST 14 STREET,C6-2A,C6-3A, , , , , , , , ,Y,D7,4,0,P,C S 108 WEST 15 STREE,13275,55233,8800,46433,0,8800,0,0,0,0,2,1,6,56,58,97.17,103.25,97,98,E,3,Y,4,2,1233000,6896250,0,0,1950,1988,0, , ,4.16,6.02,6,6.5,1,1007900028,0,81,985028,208110,8d,Y,103 028,10305, ,0, ,1, , ,17V1.1,0,628.9312427,13601.09385,5663250,7,0,8170,8170,60,13500,27.73777771,31.90777779,4.170000076,28.31792218,1.188703277,1699.075331 +8171,MN,886,38,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,147 EAST 30 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"MANGAN, MICHAEL C",2634,9700,0,9700,0,0,0,0,0,0,2,1,5,20,20,26.67,98.75,27,89, ,3,N,5,1,225000,741600,0,0,1925,1967,0, , ,3.68,4,0,4,1,1008860038,0,72,989662,210213,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,260.9249023,2755.895613,516600,10,0,8171,8171,12,2700,28.17889023,28.17889023,0,28.17889023,0,338.1466827 +8172,MN,925,39,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,339 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,339 FIRST REALTY INC.,1855,5056,1000,4056,0,1000,0,0,0,0,2,1,4,6,7,23.17,80.92,23,80,E,3,N,5,2,96989,496800,0,0,1910,0,0, , ,2.73,4,2,4,1,1009250039,0,64,989700,207030,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,212.9956095,1917.873782,399811,5,0,8172,8172,8,1800,15.27999973,15.27999973,0,15.27999973,0,122.2399979 +8173,MN,627,7503,102,79,4003,2,3,10014,L005,6,15,6100,3,2, ,59 HORATIO STREET,R6, , , , , , , , , ,N,RM,4,0, , ,1150,3749,1243,2506,0,1243,0,0,0,0,2,1,4,2,3,20,55,20,55, ,0,Y,3,5,14404,226138,0,0,1905,2004,0,Greenwich Village Historic District, ,3.26,2.43,0,4.8,1,1006277503,1522,79,982495,208478,8b, ,103 035,10210, ,1006270024,2/27/2006,1, , ,17V1.1,7,171.6884251,1194.782347,211734,8,0,8173,8173,6,1350,14.72666645,16.7266674,2.000000954,15.05999994,0.745356348,90.35999966 +8174,MN,377,9,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,354 EAST 8 STREET,R7A, , , ,C1-5, , , , , ,N,C2,2,0, ,MANRO ASSOC. LLC,1499,4911,0,4911,0,0,0,0,0,0,2,1,4,5,5,18.5,97.5,0,0, ,0,Y,5,5,90484,566150,0,0,2000,2000,0, , ,3.28,4,0,4,1,1003770009,0,2602,990304,203182,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,237.5768009,1525.7407,475666,12,1,8174,8174,8,1800,7.409999847,9.108888626,1.698888779,7.976944327,0.743336404,63.81555462 +8175,MN,770,29,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,219 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,219 W 20 ST CORP,1988,7805,0,7805,0,0,0,0,0,0,2,1,5,20,20,25,79.5,25,68, ,2,Y,5,1,102600,839700,0,0,1901,2005,0, , ,3.93,4,0,4,1,1007700029,0,87,984844,209896,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,212.0353762,2014.056195,737100,7,0,8175,8175,9,2025,22.20999908,22.20999908,0,22.20999908,0,199.8899918 +8176,MN,279,6,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,23 OLIVER STREET,R7-2, , , , , , , , , ,N,C3,2,0,P,CHURCH OF ST JAMES,3264,6543,0,6543,0,0,0,0,0,0,2,1,3,4,4,43.83,77,23,66, ,3,Y,5,5,34742,167953,34742,167953,1880,1981,0, , 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,17V1.1,0,147.3979119,1065.223337,25404,12,0,8178,8178,4,900,17.84799957,19.90133286,2.053333282,18.8618331,1.013995952,75.44733238 +8179,MN,827,59,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,20 WEST 26 STREET,M1-6, , , , , , , , , ,N,C7,4,0, ,SERBIAN EASTN ORTH CH,2469,8445,2980,5465,1490,0,0,0,0,1490,2,1,5,7,8,25,98.75,25,68, ,3,N,5,1,78550,419272,20201,104497,1920,2005,0, , ,3.42,0,10,10,1,1008270059,0,58,987015,210323,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,256.6426257,2721.992449,340722,2,0,8179,8179,12,2700,42.08222198,42.17333221,0.091110229,42.09129588,0.025214168,505.0955505 +8180,MN,901,36,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,244 EAST 21 STREET,R9A,R8B, , ,C1-5, , , , , ,Y,C1,2,0, ,244 MANAGEMENT LLC,3864,15210,0,15210,0,0,0,0,0,0,2,1,6,24,24,42,92,42,80, ,3,N,5,2,225000,2577600,0,0,1936,1988,0, , ,3.94,7.52,0,7.52,1,1009010036,0,64,989118,207647,12c, ,102 047,10308, ,0, ,1, , 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REALT,1895,5915,0,5915,0,0,0,0,0,0,2,1,4,9,9,20,94.75,20,94, ,0,N,5,5,115644,511574,0,0,2002,0,0, , ,3.12,4,0,4,1,1003930048,0,28,990218,203961,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,238.7084946,2049.942182,395930,12,1,8191,8191,9,2025,7.409999847,7.409999847,0,7.409999847,0,66.68999863 +8192,MN,469,18,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,220 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,218 EAST 14TH STREET,2478,6960,1300,5660,0,1300,0,0,0,0,2,1,5,7,8,24,103.25,24,60, ,0,N,5,5,101788,359784,0,0,1920,0,0, , ,2.81,4,2,4,1,1004690018,0,40,988007,206206,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,264.0579782,2700.930419,257996,12,0,8192,8192,12,2700,29.06444359,34.64777756,5.583333969,29.8942585,1.871859002,358.731102 +8193,MN,423,11,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,149 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,145-149 BOWERY LLC,1501,8364,5576,2788,2788,2788,0,0,0,0,2,1,5,5,8,20.5,73.67,20,68, ,3,Y,5,2,213750,893700,0,0,1880,0,0, , 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+8202,MN,124,10,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,23 PARK PLACE,C6-4, , , , , ,LM, , , ,N,D7,4,0, ,RR REO II LLC,4400,21840,8736,13104,0,8736,0,0,0,0,2,1,5,6,7,28.75,152.17,29,152, ,0,N,4,2,133922,1576895,0,0,1915,2000,0, ,23 PARK PLACE BUILDING,4.96,10,10,10,1,1001240010,0,21,981858,199170,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,381.0206391,4736.208552,1442970,3,0,8202,8202,21,4725,32.51555634,33.17499924,0.659442902,33.14235378,0.140266162,695.9894295 +8203,MN,802,4,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,289 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0,P,DOREEN LLC,2000,7280,7280,0,1760,5520,0,0,0,0,2,1,4,0,4,20,100,20,100,E,3,N,5,2,463500,1233900,0,0,1920,2001,0, , ,3.64,0,10,10,1,1008020004,0,95,985979,211111,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,244.3441331,2180.251578,770400,2,0,8203,8203,9,2025,32.50999832,33.82333374,1.313335419,32.65592448,0.412741502,293.9033203 +8204,MN,475,7503,102,47,2010,2,1,10013,E055,1,15,6800,1,2, ,477 BROOME STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,7500,38524,6375,32149,0,6375,0,0,0,0,2,1,6,20,21,75,100.02,75,99, ,1,Y,0,5,882000,4356900,2360,2360,1920,0,0,SoHo-Cast Iron Historic District, ,5.14,0,5,6.5,1,1004757503,916,47,983675,202543,12a, ,101N070,10206, ,1004750041,12/26/1995,1, ,1,17V1.1,7,359.9997857,7935.673652,3474900,0,1,8204,8204,36,8100,9.686666489,11.9216671,2.23500061,9.888357878,0.577213315,355.9808836 +8205,MN,447,107,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,302 EAST 6 STREET,R7A, , , ,C2-5, , , , , ,N,B1,1,0, ,ARTHUR ROSENBERG,576,2304,0,1728,0,0,0,0,0,0,2,1,4,2,2,23.75,24.25,23.75,24.25, ,2,Y,5,1,20856,48830,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,4,4,0,4,1,1004470107,0,38,987505,204199,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,101.2222248,638.6546366,27974,1,0,8205,8205,4,900,28.15800095,35.81111145,7.653110504,31.57761192,3.467700466,126.3104477 +8206,MN,486,27,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,65 GREENE STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,"67-65 GREENE STREET,",2500,10500,4000,6500,0,4000,0,0,0,0,2,1,5,3,5,25,100,25,102,E,3,N,5,5,68065,490219,0,0,1900,2014,2005,SoHo-Cast Iron Historic District, ,4.2,0,5,6.5,1,1004860027,0,49,983929,202771,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,256.987036,2546.433471,422154,0,0,8206,8206,12,2700,11.1744442,11.1744442,0,11.1744442,0,134.0933304 +8207,MN,175,4,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,78 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,"MAP FRANKLIN, LLC",2508,15563,7663,7900,0,2263,0,5400,0,0,2,1,6,5,7,25.08,100,25,96,E,3,N,5,2,222797,567753,0,0,1915,1983,2008,Tribeca East Historic District, ,6.21,6.02,6,6.5,1,1001750004,0,33,983034,200889,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,256.2844455,2607.167711,344956,14,0,8207,8207,11,2475,17.40222168,17.40222168,0,17.40222168,0,191.4244385 +8208,MN,570,42,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,7 EAST 12 STREET,C6-1, , , , , , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,12700,125588,125588,0,0,0,0,0,0,125588,2,1,12,0,1,100,127.25,100,100, ,3,Y,5,2,2925000,20523150,2925000,20523150,1947,1972,0, , ,9.89,3.44,6,6.5,1,1005700042,0,61,986009,206891,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,456.5925729,11900.18357,17598200,8,0,8208,8208,54,12150,33.2820015,33.2820015,0,33.2820015,0,1797.228081 +8209,MN,162,21,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,29 PELL STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,31 PELL ST CORP,836,3344,1672,1672,1672,0,0,0,0,0,2,1,4,2,4,38.33,29.5,38,30, ,2,Y,5,5,163122,323394,0,0,1910,1966,0, , ,4,3.44,6,6.5,1,1001620021,0,29,984666,199714,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,115.7008451,758.9514279,160272,14,0,8209,8209,3,675,30.90500069,37.07777786,6.172777176,32.96259308,2.909875067,98.88777924 +8210,MN,387,35,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,65 AVENUE C,R7A, , , ,C2-5, , , , , ,N,M9,8,0,P,JEHOVAH'S WITNESSESET,4320,8656,8656,0,0,0,0,0,0,8656,2,1,2,0,1,48,90,48,90, ,0,Y,5,5,228150,910350,0,0,1989,0,0, , ,2,4,0,4,1,1003870035,0,2601,989747,202595,12c, ,102 013,10203,E-216,1003870036,12/13/1988,1, , ,17V1.1,0,280.2004693,4425.206311,682200,1,1,8210,8210,19,4275,11.63300037,11.63300037,0,11.63300037,0,221.0270071 +8211,MN,822,1,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,652 AVENUE OF THE AMER,C6-2A,C6-4A, , , , , , , , ,Y,K4,4,0,P,MANSION REALTY LLC,13750,22000,22000,0,0,8016,0,0,0,13984,2,3,3,0,4,84,155.25,84,155.25, ,0,Y,3,5,855000,5170500,0,0,1975,2003,2009,Ladies' Mile Historic District,CHURCH OF THE HOLY COMMUNION COMPLE,1.6,6.02,6,6.5,1,1008220001,0,54,986015,209254,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,516.6378393,14590.10158,4315500,7,0,8211,8211,64,14400,34.23199844,36.50577927,2.273780823,34.52040851,0.56462847,2209.306145 +8212,MN,230,26,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,91 GRAND STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,EBIHARA INC,1380,4680,1300,3380,0,1300,0,0,0,0,2,1,4,4,5,20,69,20,69,E,3,N,5,2,87300,536400,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,3.39,0,5,6.5,1,1002300026,0,47,983652,202105,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,187.3448771,1543.948678,449100,0,1,8212,8212,7,1575,11.39777756,12.28977776,0.892000198,11.52520616,0.312135048,80.6764431 +8213,MN,457,9,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,1 EAST 2 STREET,R8B,C6-1, , , , , , , , ,Y,H8,8,0,P,321 BOWERY,11985,156365,560,0,0,0,560,0,0,0,2,1,12,0,1,40,51,40,235, ,0,Y,3,5,3105000,11402100,0,0,2001,0,0, , ,13.05,4,0,4,1,1004570009,0,3602,986602,203504,12c, ,102 009,10205, ,1004570009,1/2/2003,1, , ,17V1.1,0,581.9755033,11348.22103,8297100,1,0,8213,8213,50,11250,41.87900162,46.31555557,4.436553955,42.75401459,1.497633822,2137.700729 +8214,MN,64,5,101,15.02,1008,2,1,10038,E004,1,15,7700,1,1, ,53 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,S3,4,0,P,53 NASSAU COMMONS LLC,915,4134,1734,2400,0,1734,0,0,0,0,2,1,4,3,4,15.5,49.75,16,50, ,3,Y,5,5,65158,459899,0,0,1900,2007,0, , ,4.52,10,15,15,1,1000640005,0,1502,981720,197594,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,142.7202329,944.8203615,394741,4,0,8214,8214,4,900,24.73500061,24.73500061,0,24.73500061,0,98.94000244 +8215,MN,209,8,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,33 HOWARD STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,HARRY SPITZER INC,2500,4900,4900,0,2400,2500,0,0,0,0,2,1,3,0,2,25,100,25,100,E,2,N,5,2,80100,1343700,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,1.96,0,5,6.5,1,1002090008,0,45,983985,201400,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,257.7960936,2668.596749,1263600,0,0,8215,8215,12,2700,11.84555531,16.36333275,4.517777443,12.55092565,1.58155839,150.6111078 +8216,MN,802,7502,105,95,1003,2,3,10001,E001,13,15,5200,1,5, ,291 7 AVENUE,M1-6, , , , , , , , , ,N,RX,4,0, , ,4000,36420,8081,28339,0,3398,0,4683,0,0,2,1,10,8,11,40,100,40,100, ,0,N,5,5,464400,5595750,0,666482,1907,0,0, , ,9.11,0,10,10,1,1008027502,1126,95,985994,211139,8d, ,15S/012,10305, ,1008020005,8/17/2000,1, , ,17V1.1,7,284.1639476,4180.646729,5131350,2,0,8216,8216,19,4275,32.50999832,33.50222397,0.992225647,32.56222072,0.22156089,618.6821938 +8217,MN,886,40,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,153 EAST 30 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,"JORDAN, ROBERT E",1975,3964,0,3964,0,0,0,0,0,0,2,1,4,2,2,20,98.75,20,62, ,3,N,5,2,144177,246024,1550,1550,1900,2014,2010, , ,2.01,4,0,4,1,1008860040,0,72,989700,210192,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,245.7436426,1974.914998,101847,10,0,8217,8217,9,2025,28.17889023,33.16666794,4.98777771,29.02407519,1.676883907,261.2166767 +8218,MN,611,22,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,28 CHARLES STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,CHARLES STREET LLC,2330,12074,2330,9744,0,2330,0,0,0,0,2,1,6,20,24,46.17,38.83,45,74, ,2,Y,3,2,495000,2187900,0,0,1900,1986,0,Greenwich Village Historic District, ,5.18,3.44,2,6.5,1,1006110022,0,73,983772,207050,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,218.6329866,2641.448074,1692900,8,0,8218,8218,12,2700,21.29555511,24.28111076,2.985555649,21.89453665,1.059579306,262.7344399 +8219,MN,621,37,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,375 BLEECKER STREET,C1-6, , , , , , , , , ,N,S4,4,0, ,LUIS MARQUES,1362,4655,931,3724,0,931,0,0,0,0,2,1,5,4,5,18.75,81.58,19,48, ,3,Y,5,5,46149,281005,0,0,1905,2012,2008,Greenwich Village Historic District, ,3.42,3.44,2,6.5,1,1006210037,0,73,982967,207063,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,205.897375,1341.906534,234856,8,0,8219,8219,6,1350,24.81222343,27.6044445,2.792221069,25.85981528,1.182673631,155.1588917 +8220,MN,470,37,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,116 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,O2,5,0, ,116 ELIZABETH & 132 B,2375,11335,11335,0,11335,0,0,0,0,0,2,1,5,0,8,24.92,100.12,25,90,E,3,Y,5,2,213750,696600,0,0,1900,0,0, , ,4.77,6.02,6,6.5,1,1004700037,0,41,985552,201257,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,259.4039628,2583.059576,482850,0,0,8220,8220,12,2700,31.67711258,31.67711258,0,31.67711258,0,380.125351 +8221,MN,437,36,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,433 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,433 EAST NINTH LLC,2306,6110,1222,4888,0,1222,0,0,0,0,2,1,5,10,11,25,92.25,25,48, ,3,N,5,2,175950,682200,0,312750,1910,1986,2010, , ,2.65,4,0,4,1,1004370036,0,34,988882,204418,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,243.6983114,2421.204705,506250,12,0,8221,8221,11,2475,17.51666641,20.44888878,2.932222366,18.25061625,0.963445772,200.7567787 +8222,MN,570,38,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,15 EAST 12 STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,LUBBOCK MANAGEMENT LL,3167,9786,3286,6500,1643,1643,0,0,0,0,2,2,4,8,10,25.08,126.75,25,65, ,3,N,5,2,279900,1170450,0,0,1873,1987,0, , ,3.09,3.44,6,6.5,1,1005700038,0,61,986110,206842,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,312.0659537,3286.503319,890550,8,0,8222,8222,15,3375,33.2820015,37.28777695,4.005775452,33.76182353,1.111099836,506.4273529 +8223,MN,821,40,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,146 5 AVENUE,C6-4M, , , , , , , , , ,N,D9,3,0, ,"146 FIFTH AVENUE, LLC",2600,14110,2500,11610,0,2500,0,0,0,0,2,1,7,24,25,26,100,26,73,E,3,N,5,2,499500,2262150,0,0,1935,1975,0,Ladies' Mile Historic District, ,5.43,10,10,10,1,1008210040,0,54,986603,208676,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,270.4589012,2859.446283,1762650,7,0,8223,8223,13,2925,32.91555405,32.91555405,0,32.91555405,0,427.9022026 +8224,MN,823,65,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,40 WEST 22 STREET,C6-4A, , , , , , , , , ,N,D0,3,0, ,40 WEST 22ND ST TENAN,4455,50313,8730,41583,0,0,0,0,0,8730,2,1,12,15,16,46,98.75,45,97, ,2,N,5,2,350100,5937300,7080,7080,1909,1980,2012,Ladies' Mile Historic District, ,11.29,10,10,10,1,1008230065,0,58,986380,209453,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,296.5405266,4773.985649,5587200,7,0,8224,8224,21,4725,33.74333191,35.39333344,1.650001526,33.92882429,0.487952496,712.5053101 +8225,MN,307,17,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,295 GRAND STREET,C6-1G, , , , , , , , , ,N,K2,5,0, ,295 GRAND STREET REAL,1294,2588,2588,0,0,2588,0,0,0,0,2,1,2,0,2,17.25,75,17,75, ,3,N,5,2,99000,253800,0,0,1910,0,0, , ,2,3.44,6,6.5,1,1003070017,0,16,986445,200646,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,190.3087079,1370.907975,154800,13,0,8225,8225,6,1350,39.60333252,40.64666748,1.043334961,39.77722168,0.388827983,238.6633301 +8226,MN,746,21,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,329 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,CHELSEA WEST 22ND LLC,4444,13054,0,13054,0,0,0,0,0,0,2,2,4,22,22,45,98.75,45,60,E,3,N,5,2,220050,753750,0,0,1851,2015,2015,Chelsea Historic District Extension, ,2.94,3,0,3,1,1007460021,0,93,984207,210836,8d, ,105S007,10303, ,1007460021,1/21/2010,1, , ,17V1.1,0,291.1431761,4523.003,533700,2,0,8226,8226,21,4725,15.97222233,18.99333382,3.021111488,16.90825408,1.222609246,355.0733356 +8227,MN,619,80,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,83 CHRISTOPHER STREET,R6, , , , , , , , , ,N,M9,8,0,X,ST JOHNS LUTHERAN CHU,1259,3777,3777,0,0,0,0,0,0,3777,2,1,3,0,1,22.08,57,22.08,57, ,0,N,5,5,162000,279000,162000,279000,1900,0,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1006190080,0,73,983208,206556,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,171.9068469,1493.611075,117000,9,0,8227,8227,7,1575,23.46111107,24.89844513,1.437334061,23.66644451,0.502962148,165.6651115 +8228,MN,802,77,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,299 7 AVENUE,M1-6, , , , , , , , , ,N,K2,5,0, ,299 SEVENTH AVE REALT,1683,3366,3366,0,0,3366,0,0,0,0,2,1,1.75,0,1,24.75,68,24.75,68,E,3,N,3,2,288000,1890000,0,0,1920,1989,0, , ,2,0,10,10,1,1008020077,0,95,986017,211214,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,190.3478079,1848.98985,1602000,2,0,8228,8228,8,1800,32.79000092,32.79000092,0,32.79000092,0,262.3200073 +8229,MN,490,23,102,47,1000,2,3,10012,L008,1,15,6800,1,2,1A,206 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,206 SPRING LLC,2500,12400,12400,0,5000,7200,0,0,0,200,2,1,5,0,3,25,100,25,100, ,3,N,5,2,360000,3637800,0,0,1915,2012,2012,Sullivan-Thompson Historic District, ,4.96,3.44,0,6.5,1,1004900023,0,47,983198,203485,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,255.8187622,2724.045542,3277800,0,0,8229,8229,13,2925,15.65555573,15.93377781,0.278222084,15.67695742,0.074137659,203.8004465 +8230,MN,848,23,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,29 EAST 19 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,AXELROD HARVEY,5520,39780,39780,0,34880,4900,0,0,0,0,2,1,8,0,8,60,92,60,90, ,3,N,5,2,1350000,4986900,0,0,1900,0,0,Ladies' Mile Historic District, ,7.21,0,5,6.5,1,1008480023,0,52,987266,208284,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,316.9818049,5930.259278,3636900,7,0,8230,8230,27,6075,35.19100189,35.19100189,0,35.19100189,0,950.1570511 +8231,MN,137,35,101,21,2001,2,1,10007,L010,1,15,7700,1,1, ,90 WEST BROADWAY,C6-3A, , , , , ,TMU, , , ,N,D4,3,0, ,GERKEN BUILDING CORPO,3833,48079,3700,44379,0,3700,0,0,0,0,2,1,14,16,21,50.67,75.17,51,75, ,3,Y,3,2,765000,4015350,9440,9440,1920,1980,0, , ,12.54,7.52,6,7.5,1,1001370035,0,21,981593,199952,12b,Y,101S015,10104, ,0, ,1, , ,17V1.1,0,257.6527024,4000.816362,3250350,14,0,8231,8231,19,4275,19.68199921,22.38999939,2.708000183,19.99935612,0.723671552,379.9877663 +8232,MN,495,43,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,53 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S5,4,0,P,53 SPRING STREET ASSO,2982,8670,1000,7670,0,1000,0,0,0,0,2,1,4,5,6,25.25,123.75,26,114, ,2,N,5,5,155533,683728,0,0,1900,0,0, , ,2.91,6.02,6,6.5,1,1004950043,0,43,985209,202437,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,304.3272537,3293.619763,528195,0,0,8232,8232,15,3375,37.57110977,39.52555466,1.954444885,37.7014061,0.487524209,565.5210915 +8233,MN,485,8,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,72 GREENE STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,ASB L3 72-76 GREENE S,7500,45000,33750,11250,15250,18500,0,0,0,0,2,1,5,3,10,75,100,75,100,E,3,N,5,2,3037500,9040050,0,0,1900,2011,0,SoHo-Cast Iron Historic District, ,6,0,5,6.5,1,1004850008,0,49,984107,202776,12c, ,101N070,10206,R-11,0, ,1, , ,17V1.1,0,353.2410438,7568.873759,6002550,0,0,8233,8233,34,7650,17.71444511,21.72222328,4.007778168,17.90709871,0.790836946,608.8413563 +8234,MN,205,20,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,117 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,HOP FAT RLTY DEVELOPM,2509,10450,1950,8500,0,1950,0,0,0,0,2,1,5,11,13,24.08,100.67,24,87,E,3,Y,5,2,115200,864900,0,0,1915,0,0, , ,4.17,6.02,6,6.5,1,1002050020,0,41,984956,200790,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.3722949,2715.465037,749700,0,0,8234,8234,11,2475,31.4109993,31.4109993,0,31.4109993,0,345.5209923 +8235,MN,412,29,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,173 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,LUDLOW 173 REALTY ASS,2216,8105,1300,6805,0,1300,0,0,0,0,2,1,5,22,24,25.33,87.5,25,62, ,3,N,5,2,285750,1369350,0,0,1900,1985,0, , ,3.66,4,4,4,1,1004120029,0,3001,987655,202264,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.7981335,2298.653907,1083600,1,0,8235,8235,10,2250,34.02799988,34.51644516,0.488445282,34.09537773,0.150840796,340.9537773 +8236,MN,136,23,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,118 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,"HUNG FONG, CHIU",1888,9638,9638,0,0,1600,0,8038,0,0,2,1,6,0,6,25,75.5,25,72, ,3,Y,5,2,173700,756000,0,0,1920,1990,2003,Tribeca South Historic District Extensio, ,5.1,7.52,6,7.5,1,1001360023,0,21,981856,199778,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,206.0783693,1971.403503,582300,3,0,8236,8236,8,1800,25.24200058,25.24200058,0,25.24200058,0,201.9360046 +8237,MN,864,31,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,53 EAST 34 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,53 HOLDING LLC,2452,10855,10855,0,7705,3150,0,0,0,0,2,1,5,0,30,25,98.75,25,99,E,2,N,5,2,832500,1612800,0,0,1900,1960,0, , ,4.43,10,10,10,1,1008640031,0,74,989258,211660,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,257.4010957,2568.807855,780300,10,0,8237,8237,11,2475,60.8769989,60.8769989,0,60.8769989,0,669.6469879 +8238,MN,588,29,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,296 BLEECKER STREET,C2-6, , , , , , , , , ,N,K2,5,0,P,"HOT POTATO LLC,",1377,2442,2442,0,0,2442,0,0,0,0,2,2,2,0,1,16.92,81,16.92,79, ,2,N,3,2,382500,1273050,0,0,1910,0,0,Greenwich Village Historic District, ,1.77,3.44,2,6.5,1,1005880029,0,73,983174,206079,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,208.0476936,1583.09641,890550,9,0,8238,8238,7,1575,22.65500069,23.13444519,0.479444504,22.75833402,0.17509359,159.3083382 +8239,MN,406,9,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4Q,506 EAST 13 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C7,4,0,P,506 EAST 13 LLC,3872,16002,1000,15002,0,1000,0,0,0,0,2,1,6,27,29,37.5,103.25,38,90, ,3,N,5,2,112500,1632600,0,0,1900,1986,0, , ,4.13,4,0,4,1,1004060009,0,34,989652,204991,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,291.609422,4143.949192,1520100,12,0,8239,8239,19,4275,13.0880003,15.64444447,2.556444168,13.22254999,0.570846002,251.2284498 +8240,MN,344,138,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,68 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"68 CLINTON STREET,",1637,5655,800,4855,0,800,0,0,0,0,2,1,5,7,8,21.83,75,22,48, ,2,N,5,2,129924,200792,0,0,1910,0,0, , ,3.45,4,0,4,1,1003440138,0,2201,988478,201320,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,201.8382592,1785.939131,70868,1,0,8240,8240,9,2025,24.30800056,26.47888947,2.170888901,24.93516095,0.818341966,224.4164486 +8241,MN,309,16,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,333 GRAND STREET,C6-2, , , , , , , , , ,N,C4,2,0, ,TIARA REALTY CO,2800,5528,2500,3028,0,2500,0,0,0,0,2,1,3.5,4,6,17.5,80,18,80,E,3,N,5,5,411960,622566,0,0,1900,0,0, , ,1.97,6.02,6,6.5,1,1003090016,0,16,986936,200448,12c, ,101N051,10107, ,1003090016,1/4/2000,1, , ,17V1.1,0,234.5043208,2864.558688,210606,13,0,8241,8241,13,2925,34.44444275,37.77111053,3.326667786,34.82414392,0.952033895,452.713871 +8242,MN,698,141,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,502 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,A9,1,0, ,TOWN HOUSE ASSOCIATES,400,1125,0,1125,0,0,0,0,0,0,2,1,3,1,1,15.42,24.67,15,25, ,3,N,5,2,24880,49389,0,0,1920,1989,0, , ,2.81,7.52,6,10,1,1006980141,0,99,983480,212619,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,85.56131275,431.4343481,24509,2,0,8242,8242,2,450,13.12722206,13.25500011,0.127778053,13.19111109,0.063889027,26.38222218 +8243,MN,582,30,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,42 LEROY STREET,C2-6, , , , , , , , , ,N,C1,2,0, ,42 LEROY HOLDING LLC,938,2700,0,2700,0,0,0,0,0,0,2,1,4,7,7,18.75,50,19,32, ,3,N,5,0,121635,364904,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.88,3.44,2,6.5,1,1005820030,0,67,983031,205340,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,140.8981758,1000.931028,243269,9,0,8243,8243,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +8244,MN,421,61,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,59 STANTON STREET,C4-4A, , , , , , , , , ,N,S9,4,0,P,59 STANTON REALTY INC,1183,5465,2356,3109,1178,1178,0,0,0,0,2,1,5,4,7,22.25,53.17,22.25,53.17, ,2,N,3,2,190653,460800,0,32829,1901,2000,0, , ,4.62,4,4,4,1,1004210061,0,3601,986960,202257,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,155.0340407,1233.33421,270147,1,0,8244,8244,6,1350,37.9659996,38.39799881,0.431999207,38.32477697,0.160472449,229.9486618 +8245,MN,862,51,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,165 MADISON AVENUE,C5-2, , , , , , , , , ,N,O5,5,0,P,TAMAR EQUITIES CORP.,4933,28268,28268,0,23568,4700,0,0,0,0,2,2,6,0,76,49.33,100,24,100, ,2,Y,3,2,1224000,3296250,0,0,1930,1987,0, , ,5.73,10,10,10,1,1008620051,0,74,988887,211377,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,312.2138215,5472.549448,2072250,10,0,8245,8245,23,5175,40.45000076,46.49777603,6.047775269,41.67188462,2.109553146,958.4533463 +8246,MN,798,7505,104,91,1004,2,3,10011,L012,13,15,5200,1,4, ,125 WEST 22 STREET,C6-3A, , , , , , , , , ,N,R4,3,0, , ,6238,43864,0,43864,0,0,0,0,0,0,2,1,17,33,33,63.17,98.75,63.2,98.9, ,0,N,0,5,1003502,9399153,0,3525376,2006,0,0, , ,7.03,7.52,6,7.5,1,1007987505,1845,91,985858,209920,8d, ,105S011,10305, ,1007980028,6/6/2008,1, , ,17V1.1,7,336.2176336,6644.322427,8395650,2,0,8246,8246,29,6525,28.16444397,30.46666718,2.302223206,28.24383098,0.420076556,819.0710983 +8247,MN,459,23,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,74 EAST 4 STREET,R8B, , , , , , , , , ,N,J5,5,0,P,LA MAMA E T C,2325,7000,7000,0,0,0,0,0,0,7000,2,2,4,0,3,25,93,25,87,E,3,N,5,1,193500,434700,193500,434700,1900,1985,0,East Village/Lower East Side Historic Di,ASCHENBROEDEL VEREIN (LATER GESANGV,3.01,4,0,4,1,1004590023,0,38,986958,203884,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,241.0344045,2405.490986,241200,1,0,8247,8247,11,2475,35.86666489,37.15766525,1.291000366,35.98402856,0.371136511,395.8243141 +8248,MN,764,49,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,218 WEST 15 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,MT SINAI MEDICAL CTR,2141,3935,0,3375,0,0,0,0,0,0,2,1,3,1,1,24.75,86.5,25,45, ,3,N,5,1,94665,299980,0,0,1910,2000,0, , ,1.84,4,0,4,1,1007640049,0,81,984170,208690,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,223.1512531,2032.026578,205315,7,0,8248,8248,8,1800,24.42199898,26.00666618,1.584667206,24.67911029,0.512222443,197.4328823 +8249,MN,872,52,106,50,5001,2,2,10003,E005,13,14,5300,1,6,1A,132 EAST 17 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,132-134 EAST 17TH STR,2300,10458,1675,8783,0,1675,0,0,0,0,2,1,6,22,24,25,92,25,79, ,0,N,5,2,196650,1653300,0,0,1910,0,0, , ,4.55,4,0,4,1,1008720052,0,50,987920,207197,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,235.179949,2335.477075,1456650,5,0,8249,8249,11,2475,31.57888794,32.63355637,1.054668427,31.67476689,0.303195855,348.4224358 +8250,MN,936,1,106,70,4000,2,2,10016,L007,17,14,5800,1,6,2A,550 2 AVENUE,R8, , , ,C2-5, , , , , ,N,J5,5,0,P,KIPS BAY DEVELOPMENTL,54162,173364,173364,0,0,83364,0,0,0,90000,2,1,2,0,6,429.75,126,429,126, ,0,N,3,5,7875000,24021900,0,0,1998,2012,0, , ,3.2,6.02,0,6.5,1,1009360001,0,70,990688,209856,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,1107.002202,53410.70848,16146900,10,0,8250,8250,236,53100,26.01799965,30.32822227,4.310222626,26.05542527,0.312823505,6149.080364 +8251,MN,280,22,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,15 MARKET STREET,R7-2,C6-1G, , , , , , , , ,Y,M1,8,0,P,FIRST CHINESE ETAL,11500,15960,15960,0,0,0,0,0,0,15960,2,2,3,0,0,100,115,65,75,E,0,N,5,0,904500,2675700,0,0,1900,0,0, ,SEA AND LAND CHURCH,1.39,3.44,0,6.5,1,1002800022,0,8,985690,199119,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,439.8403637,12019.8078,1771200,16,0,8251,8251,54,12150,34.66699982,37.40000153,2.733001709,35.08205322,0.802873728,1894.430874 +8252,MN,589,47,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,13 CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"PAPADOPOULOS, GEORGE",2500,10304,1350,8954,0,1350,0,0,0,0,2,1,5,13,14,25,100,25,88, ,3,N,5,2,234000,1167750,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.12,3.44,0,6.5,1,1005890047,0,67,983587,205452,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.9503959,2561.743591,933750,9,0,8252,8252,12,2700,15.87222195,15.87222195,0,15.87222195,0,190.4666634 +8253,MN,406,15,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,518 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,VILAGE KF 516 EAST 13,2581,10010,0,10010,0,0,0,0,0,0,2,1,5,10,10,25,103.25,25,72, ,3,N,5,2,30246,325905,0,0,1910,2011,2009, , ,3.88,4,0,4,1,1004060015,0,34,989777,204922,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.9923805,2670.154095,295659,12,0,8253,8253,12,2700,13.0880003,14.57333279,1.485332489,13.60857415,0.625883075,163.3028898 +8254,MN,897,35,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,157 3 AVENUE,C1-9A, , , , , , , , , ,N,D4,3,0, ,200 E 16 ST HOUSING C,10350,151832,4000,147832,0,4000,0,0,0,0,2,1,20,390,399,103.5,100,103,88, ,0,N,3,5,1035000,15472800,145115,145115,1930,1987,0, , ,14.67,10,2,10,1,1008970035,0,48,988116,206799,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,413.9925563,10699.04912,14437800,5,0,8254,8254,49,11025,27.7444458,33.57555389,5.831108093,28.26414626,1.534118527,1384.943167 +8255,MN,573,27,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,30 WEST 10 STREET,R6, , , , , , , , , ,N,C1,2,0,P,"DAVIS, CARY",1691,5008,0,5008,0,0,0,0,0,0,2,1,4.5,7,7,18.33,92.25,18,64, ,3,N,5,2,161874,604800,0,0,1900,1979,2005,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005730027,0,63,985052,206648,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.9947068,1636.701711,442926,8,0,8255,8255,7,1575,18.98099899,18.98099899,0,18.98099899,0,132.866993 +8256,MN,503,28,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,101 THOMPSON STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,101 THOMPSON ST OWNER,5000,21360,1425,19935,0,1425,0,0,0,0,2,1,6,36,38,50,100,50,83, ,2,N,5,2,290250,2853450,11800,11800,1900,0,0,Sullivan-Thompson Historic District, ,4.27,3.44,0,6.5,1,1005030028,0,49,983624,203670,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,304.9872976,5199.623482,2563200,0,0,8256,8256,23,5175,15.37666702,15.37666702,0,15.37666702,0,353.6633415 +8257,MN,911,45,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,236 EAST 31 STREET,R7B, , , , , , , , , ,N,M3,8,0,P,EPISCPL CHRCH GOOD SH,1852,3732,3732,0,0,0,0,0,0,3732,2,1,4,0,1,18.75,98.75,19,48, ,3,N,5,1,205650,430200,205650,430200,1880,1989,0, , ,2.02,3,0,3,1,1009110045,0,70,990283,209986,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,237.848534,1741.326741,224550,10,0,8257,8257,8,1800,29.22888947,31.99666786,2.767778397,29.76013947,0.974664406,238.0811157 +8258,MN,426,35,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,183 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,I7,8,0, ,"FISHKIND & COMPANY, L",4875,9600,9600,0,0,0,0,0,0,9600,2,1,2,0,1,50,99.33,50,97, ,3,Y,5,0,386100,1462050,0,36000,1900,2004,0, , ,1.97,7.52,6,7.5,1,1004260035,0,3601,986369,202220,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,304.3462452,5055.389104,1075950,13,0,8258,8258,23,5175,41.51444626,45.76888657,4.254440308,41.75782759,0.897881709,960.4300346 +8259,MN,223,21,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,427 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,TRIBECA TOWER INC,5106,44400,10212,34188,10212,0,0,0,0,0,2,1,8,6,7,60.58,82.17,59,78, ,3,Y,3,2,511116,2370563,197719,197719,1920,1979,0, , ,8.7,6.02,6,6.5,1,1002230021,0,39,981430,202685,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,293.1024822,5285.937683,1859450,0,1,8259,8259,23,5175,9.881999969,9.881999969,0,9.881999969,0,227.2859993 +8260,MN,555,21,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,84 EAST 10 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,ELK MAS 84 EAST 10TH,1865,7200,5400,1800,1800,3600,0,0,0,0,2,1,3,1,4,20,92.5,20,90,E,3,N,5,1,177750,1342800,0,0,1900,0,0, , ,3.86,6.02,6,6.5,1,1005550021,0,42,987037,205548,12c, ,102 017,10207,E-254,1005550021,12/19/1986,1, , ,17V1.1,0,228.8437432,1897.912275,1165050,12,0,8260,8260,8,1800,38.18777847,38.18777847,0,38.18777847,0,305.5022278 +8261,MN,460,41,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,71 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0, ,DJ INTERNATIONAL REAL,1854,8015,1603,6412,0,1603,0,0,0,0,2,1,6,6,7,24.08,77,24,67, ,3,N,5,2,76122,253357,0,0,1935,2008,2008,East Village/Lower East Side Historic Di, ,4.32,4,0,4,1,1004600041,0,38,987137,203945,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,209.1294631,1954.360829,177235,1,0,8261,8261,10,2250,35.65444565,36.75444412,1.099998474,35.85897865,0.410525386,358.5897865 +8262,MN,619,53,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,343 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,WILLIAM GOTTLIEB REAL,763,1719,602,1117,0,602,0,0,0,0,2,1,3,1,2,23.17,36,23.17,24, ,3,Y,5,5,25811,79756,0,0,1901,0,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1006190053,0,73,983060,206623,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,117.2382142,818.2921178,53945,9,0,8262,8262,3,675,23.46111107,23.46111107,0,23.46111107,0,70.38333321 +8263,MN,829,55,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,1177 BROADWAY,M1-6, , , , , , , , , ,N,K4,4,0, ,DALLAL REALTY LLC,2127,4432,4432,0,0,4432,0,0,0,0,2,1,2,0,3,25,85.58,25,86,E,3,Y,5,2,585000,1675800,0,0,1950,0,0,Madison Square North Historic District, ,2.08,0,10,10,1,1008290055,0,58,987281,210736,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,235.5862465,2404.672496,1090800,2,0,8263,8263,11,2475,42.75111008,42.75111008,0,42.75111008,0,470.2622108 +8264,MN,283,69,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,156 EAST BROADWAY,C6-2, , , , , , , , , ,N,S9,4,0, ,AMERICAN FUZHOU CHANG,1633,6250,2500,3750,0,2500,0,0,0,0,2,1,4,3,5,25.25,65,25,42, ,3,N,5,5,221329,322999,0,0,1910,0,0, , ,3.83,6.02,6,6.5,1,1002830069,0,6,986834,199479,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,178.8581996,1607.340472,101670,16,0,8264,8264,8,1800,32.80699921,32.80699921,0,32.80699921,0,262.4559937 +8265,MN,860,63,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,126 MADISON AVENUE,C5-2, , , , , , , , , ,N,C7,4,0,P,MADISON 30 31 OWNER L,1805,7588,1898,5690,0,1898,0,0,0,0,2,1,5,8,9,19,95,19,95,E,3,N,5,2,264798,1110079,0,0,1910,2011,0, , ,4.2,10,10,10,1,1008600063,0,74,988457,210950,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,237.2128347,1996.827532,845281,10,0,8265,8265,9,2025,37.50888824,37.50888824,0,37.50888824,0,337.5799942 +8266,MN,345,18,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,333 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C7,4,0, ,"HAXHAJ, SHPEND",2000,10000,1000,9000,0,1000,0,0,0,0,2,1,5,9,10,25,80,25,80, ,3,N,3,2,81004,349149,0,0,1920,1987,0, , ,5,6,0,6,1,1003450018,0,2201,989123,201866,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,224.3528989,2299.839012,268145,1,0,8266,8266,11,2475,18.30444527,18.6277771,0.323331833,18.51494911,0.07775497,203.6644402 +8267,MN,884,63,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,129 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,"HUMPHREY DAVID CHEN,",1747,6549,1746,4803,0,1746,0,0,0,0,2,1,5,9,10,21.83,80,22,79,E,3,N,5,2,76361,323351,0,0,1910,2009,2009, , ,3.75,6.02,6,6.5,1,1008840063,0,72,989249,209937,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,206.4803806,1774.801583,246990,11,0,8267,8267,8,1800,31.56888962,31.56888962,0,31.56888962,0,252.5511169 +8268,MN,401,54,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,519 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,C J 18 CORP.,2426,6890,0,6890,0,0,0,0,0,0,2,1,5,18,18,25,97,25,54, ,3,N,5,2,90000,803700,0,0,1900,0,0, , ,2.84,3,0,3,1,1004010054,0,32,988875,203283,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,254.587033,2642.432618,713700,1,0,8268,8268,11,2475,14.20666695,16.61777687,2.411109924,15.12050516,1.032469588,166.3255568 +8269,MN,620,62,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,70 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SHERIF, TAREK",910,2984,0,2238,0,0,0,0,0,0,2,1,3,1,1,18.5,49.17,18.5,40.25, ,3,N,5,1,60021,181851,0,0,1899,2013,0,Greenwich Village Historic District, ,3.28,2.43,0,4.8,1,1006200062,0,73,983297,206956,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,146.652412,1062.875225,121830,8,0,8269,8269,5,1125,24.70777702,27.06111145,2.353334427,25.17844391,0.941333771,125.8922195 +8270,MN,612,66,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,5 CHARLES STREET,C1-6,R6, , , , , , , , ,Y,C6,2,0, ,5-7 CHARLES ST TENANT,4138,10956,0,10956,0,0,0,0,0,0,2,3,4,23,23,44,95,22,41, ,0,Y,5,5,311400,1408500,59289,59289,1900,0,0,Greenwich Village Historic District, ,2.65,3.44,2,6.5,1,1006120066,0,71,983994,207212,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,285.7728987,4506.687089,1097100,8,0,8270,8270,20,4500,21.78555489,22.24444389,0.458889008,21.80849934,0.100012541,436.1699867 +8271,MN,623,31,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,66 BANK STREET,R6, , , , , , , , , ,N,B1,1,0, ,"WHITE, RAYE G. - TRUS",2113,3432,0,3432,0,0,0,0,0,0,2,1,3,2,2,26.42,80,26.42,44, ,3,N,5,2,44348,243259,0,0,1899,0,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1006230031,0,77,983051,207632,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,219.6141448,2283.075705,198911,8,0,8271,8271,9,2025,22.60333252,27.51222229,4.908889771,24.49239455,2.180115507,220.431551 +8272,MN,410,43,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,122 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,122-124 LUDLOW LLC,2210,10500,1900,8600,0,1900,0,0,0,0,2,1,6,19,21,25.08,88.08,25,75, ,3,N,5,2,117450,529650,0,0,1920,1988,0, , ,4.75,4,4,4,1,1004100043,0,18,987481,201443,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,232.1110555,2262.958348,412200,13,0,8272,8272,11,2475,31.33099937,35.23222351,3.901224136,31.81778769,1.157012903,349.9956646 +8273,MN,833,78,105,76,1006,2,3,10001,L024,14,15,5200,1,5,1A,1271 BROADWAY,C6-6, , , , , ,MID, , , ,N,K2,5,0, ,THE JANE H. GOLDMAN 2,3950,23784,23784,0,14865,8919,0,0,0,0,2,1,7,0,12,42.25,92.75,42,107, ,3,Y,3,2,2920500,11663550,0,0,1929,0,0, , ,6.02,10,15,15,1,1008330078,0,76,987439,211888,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,303.1824298,4580.489707,8743050,6,0,8273,8273,22,4950,43.2480011,44.21111298,0.963111877,43.46891993,0.339185027,956.3162384 +8274,MN,744,17,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,339 WEST 20 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,SUTLINGAR REALTY CORP,1840,5480,0,5480,0,0,0,0,0,0,2,1,5,8,8,20,92,20,60,E,3,N,5,1,60202,281495,0,0,1900,2000,0,Chelsea Historic District, ,2.98,3,0,3,1,1007440017,0,89,983838,210462,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,227.3612899,1925.20051,221293,7,0,8274,8274,8,1800,15.84222221,18.87888908,3.03666687,16.22180557,1.004283169,129.7744446 +8275,MN,638,4,102,75,2001,2,3,10014,L005,6,15,6400,1,2,2K,433 WEST STREET,C1-7, , , , , , , , , ,N,D0,3,0,P,RIVERBANK APT CORP,9640,63000,0,63000,0,0,0,0,0,0,2,2,7,34,34,120.17,84.83,120,90,E,3,Y,3,2,675000,6097950,57750,57750,1920,1981,0, , ,6.54,6.02,2,6.5,1,1006380004,0,75,981582,207342,12a, ,103 013,10210, ,0, ,1,1,1,17V1.1,0,461.8117514,10246.10706,5422950,9,1,8275,8275,46,10350,7.460000038,9.109000206,1.649000168,9.038232067,0.297202771,415.7586751 +8276,MN,448,41,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,329 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,329 E. 6TH STREET LLC,2271,8920,0,8920,0,0,0,0,0,0,2,1,5,20,20,25,90.83,25,79, ,2,N,5,2,175950,825750,0,0,1900,1988,0,East Village/Lower East Side Historic Di, ,3.93,4,0,4,1,1004480041,0,38,987843,204142,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,238.4314593,2375.141171,649800,1,0,8276,8276,10,2250,27.1590004,28.99666595,1.837665558,27.34276695,0.551299667,273.4276695 +8277,MN,745,21,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,325 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,325 W.21 ST.INC.,2468,9645,0,9645,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,144000,879750,7080,7080,1864,1988,0, , ,3.91,3,0,3,1,1007450021,0,89,984087,210608,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,254.5777608,2491.42095,735750,7,0,8277,8277,11,2475,15.97222233,15.97222233,0,15.97222233,0,175.6944456 +8278,MN,631,33,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,703 GREENWICH STREET,R6, , , , , , , , , ,N,Z9, ,0, ,703 GREENWICH STREET,2375,500,0,0,0,0,0,0,0,0,2,2,1,0,0,25,94.67,0,30, ,0,Y,5,5,191250,235800,0,0,1980,0,0,Greenwich Village Historic District, ,0.21,2.43,0,4.8,1,1006310033,0,75,982319,206668,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,243.486247,2436.974897,44550,9,0,8278,8278,11,2475,20.16444397,22.33333397,2.168889999,21.17160624,0.832504889,232.8876686 +8279,MN,577,19,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,34 WEST 14 STREET,C6-2M,C6-2, , , , , , , , ,Y,O5,5,0,P,THE NEW SCHOOL,25297,151541,151540,0,113540,38000,0,0,0,0,2,1,5,0,6,125,206.5,125,206, ,3,Y,4,2,2439000,19475550,0,0,1930,1986,1996, , ,5.99,6.02,6,6.5,1,1005770019,0,63,985432,207574,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,687.7346923,26925.43071,17036600,8,0,8279,8279,119,26775,30.09499931,31.73999977,1.645000458,30.14838403,0.246621926,3587.6577 +8280,MN,851,22,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,25 EAST 22 STREET,C6-4M, , , , , , , , , ,N,O2,5,0,X,HANNAH CHARITABLE LLC,3292,16894,16894,0,16894,0,0,0,0,0,2,1,6,0,2,33.33,98.75,33,90,E,3,N,5,2,405000,1340550,405000,1340550,1904,1986,2005, , ,5.13,10,10,10,1,1008510022,0,56,987558,208974,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,278.9173845,3603.313286,935550,11,0,8280,8280,16,3600,32.49111176,37.80666733,5.315555573,33.04562545,1.49969204,528.7300072 +8281,MN,604,1,102,69,1002,2,3,10014,E024,6,15,6400,1,2,2B,384 WEST STREET,C1-6A, , , , , , , , , ,N,D9,3,0, ,WILLIAM GOTTLIEB,3360,36960,16800,20160,0,0,0,0,0,16800,2,1,6,20,20,48,70,48,70, ,3,N,3,2,675000,1423350,0,0,1920,2004,0, ,KELLER HOTEL,11,4,2,4,1,1006040001,0,69,981486,206014,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,0,252.3386867,3841.598111,748350,9,1,8281,8281,19,4275,7.831666946,8.725000381,0.893333435,8.62277814,0.259005234,163.8327847 +8282,MN,634,53,102,75,3000,2,3,10014,L005,6,15,6400,1,2,2K,763 GREENWICH STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,MANGO TANGO LLC,1465,4218,0,4218,0,0,0,0,0,0,2,1,4,1,1,21,69.75,21,46, ,3,Y,5,2,64573,319070,0,0,1905,2008,2008,Greenwich Village Historic District, ,2.88,3.44,2,6.5,1,1006340053,0,75,982456,207461,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,187.0330993,1569.277734,254497,8,0,8282,8282,8,1800,18.61700058,20.28000069,1.663000107,18.86222267,0.544720781,150.8977814 +8283,MN,116,49,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,25 JAMES STREET,R7-2, , , , , , , , , ,N,W2,8,0,P,ST JAMES R C SCHOOL,3546,13960,13960,0,0,0,0,0,0,13960,2,1,4,0,1,80.5,114.42,82,105, ,2,Y,3,2,303300,582300,303300,582300,1905,1989,0, , ,3.94,3.44,0,6.5,1,1001160049,0,27,984535,198769,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,286.8105293,3665.110342,279000,16,0,8283,8283,16,3600,14.38099957,16.14333344,1.76233387,14.49114543,0.426593108,231.8583269 +8284,MN,885,8,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,105 EAST 29 STREET,C6-4A,C4-5A, , , , , , , , ,Y,D0,3,0, ,105 E 29 ST OWNERS CO,3950,45937,3150,42787,0,3150,0,0,0,0,2,1,12,11,12,40,98.75,40,98,E,3,N,5,2,257850,5542650,16930,16930,1913,1982,0, , ,11.63,10,10,10,1,1008850008,0,72,988994,210289,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,281.6461871,4024.839898,5284800,11,0,8284,8284,17,3825,32.84000015,33.97777939,1.137779236,32.90692834,0.267712761,559.4177818 +8285,MN,571,7505,102,61,1000,2,2,10003,L003,6,15,5700,3,2, ,8 UNION SQUARE SOUTH,C6-4, , , , , ,US, , , ,N,RM,4,0, , ,3957,41111,4781,36330,0,4781,0,0,0,0,2,1,15,20,21,103.53,42.23,103.5,42.17, ,0,Y,0,5,774012,10082255,0,1755800,2006,0,0, , ,10.39,10,10,10,1,1005717505,1694,61,986449,207071,12c, ,103 022,10207, ,1005710021,4/27/2009,1, , ,17V1.1,7,289.6173072,4210.523626,9308240,8,0,8285,8285,18,4050,36.25,39.63888931,3.388889313,36.62111134,0.990782009,659.1800041 +8286,MN,277,14,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,101 MADISON STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,KAM LAN REALTY CORP,2515,5600,0,5600,0,0,0,0,0,0,2,2,4,8,8,25,100.58,25,56, ,3,N,5,2,44752,172803,0,0,1910,0,0, , ,2.23,3.44,0,6.5,1,1002770014,0,8,985551,198840,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.5449423,2585.602462,128051,16,0,8286,8286,11,2475,26.91300011,28.25222206,1.339221954,27.03474756,0.384999243,297.3822231 +8287,MN,209,32,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,269 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,ALSYL REALTY CORP,2770,12000,12000,0,0,2400,0,9600,0,0,2,1,5,0,3,25,112.75,25,104,E,3,Y,5,2,276750,2430900,0,0,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,4.33,0,5,6.5,1,1002090032,0,45,983977,201277,12c,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,277.8686109,2750.015023,2154150,0,0,8287,8287,11,2475,11.84555531,11.84555531,0,11.84555531,0,130.3011084 +8288,MN,572,6,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,412 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,O6,5,0, ,W A & W O KAISER INC,3094,21490,21490,0,18590,2900,0,0,0,0,2,1,7,0,7,39.92,77.5,39.92,77, ,3,N,5,2,522000,2097450,0,0,1902,0,0,Greenwich Village Historic District, ,6.95,3.44,3.4,6.5,1,1005720006,0,63,984520,206643,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,240.9882376,3209.472512,1575450,8,0,8288,8288,14,3150,18.31999969,19,0.680000305,18.57912677,0.241787339,260.1077747 +8289,MN,921,15,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,325 EAST 14 STREET,C1-6A, , , , , , , , , ,N,S4,4,0, ,MARIE FRANCE RLTY CO,2386,5466,1271,4195,0,1271,0,0,0,0,2,1,4,4,5,23,103.25,23,56,E,3,N,5,5,228095,462688,0,0,1910,0,0, , ,2.29,4,2,4,1,1009210015,0,48,988770,206012,12c, ,102 037,10309, ,0, ,1, , 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,17V1.1,0,246.2309475,2019.073938,1397250,11,0,8291,8291,10,2250,42.64199829,43.20833206,0.566333771,42.78919868,0.227376033,427.8919868 +8292,MN,419,71,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,292 BROOME STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,YWC ROYAL INC.,1263,6315,950,5365,0,950,0,0,0,0,2,1,5,8,10,25,50.5,25,49, ,3,N,3,2,28703,91196,0,0,1905,0,0, , ,5,4,4,4,1,1004190071,0,18,986520,201133,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,158.3181032,1413.185873,62493,13,0,8292,8292,6,1350,39.86888886,39.86888886,0,39.86888886,0,239.2133331 +8293,MN,873,1,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,201 PARK AVENUE SOUTH,C6-4A,R8B, , , , ,US, , , ,Y,H1,5,0, ,ISTITHMAR HOTELS UNIO,9200,200000,0,0,0,0,0,0,0,0,2,1,20,0,3,80,115,80,115, ,3,N,3,1,11700000,46945350,0,0,1911,1999,0, ,GERMANIA LIFE INSURANCE BUILDING,21.74,10,10,10,1,1008730001,0,50,987419,207636,12c, ,102 046,10307, ,1008730001,1/4/2000,1, , ,17V1.1,0,415.3001353,10343.52961,35245400,5,0,8293,8293,46,10350,34.90100098,39.39777756,4.496776581,35.36854918,1.339561188,1626.953262 +8294,MN,901,54,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,208 EAST 21 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,AGJCJ WEST PALM REALT,2767,14721,0,14721,0,0,0,0,0,0,2,1,6,27,27,30.08,92,30,78, ,3,N,5,1,156600,796050,0,0,1925,1986,0, , ,5.32,4,0,4,1,1009010054,0,64,988773,207838,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,251.2108998,2914.071523,639450,5,0,8294,8294,13,2925,19.86555672,19.86555672,0,19.86555672,0,258.2522373 +8295,MN,21,4,101,13,2010,2,1,10006,E010,1,15,7700,1,1, ,65 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,CG MAIDEN MEMBER LLC,16716,335184,335184,0,330184,5000,0,0,0,0,2,1,21,0,170,79.75,209.04,80,214, ,3,Y,4,2,7515000,25304850,0,817200,1917,2007,2007, ,AMERICAN EXPRESS COMPANY BUILDING,20.05,10,15,15,1,1000210004,0,13,980739,196975,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,592.2429785,16984.48599,17789900,15,0,8295,8295,76,17100,22.24444389,26.73800087,4.493556976,26.67887512,0.512044012,2027.594509 +8296,MN,823,63,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,36 WEST 22 STREET,C6-4A, , , , , , , , , ,N,D4,3,0,P,GREEN TURTLE RLTY COR,2271,14655,2000,12655,0,2000,0,0,0,0,2,1,7,5,7,23,98.75,23,97,E,2,N,5,2,196896,833466,131984,131984,1926,0,0,Ladies' Mile Historic District, ,6.45,10,10,10,1,1008230063,0,58,986430,209425,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,246.8380561,2255.769114,636570,7,0,8296,8296,10,2250,33.74333191,34.93666458,1.193332672,33.93356552,0.395580647,339.3356552 +8297,MN,422,64,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,231 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,DANMOR REALTY CORP,3725,14940,1750,13190,0,1750,0,0,0,0,2,1,6,22,24,37.25,100,37,70, ,3,N,5,2,193950,1009350,0,0,1900,0,0, , ,4.01,4,4,4,1,1004220064,0,3601,986993,202450,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,280.218357,3829.547913,815400,1,0,8297,8297,19,4275,36.93666458,40.37555695,3.438892365,37.38834923,1.060395841,710.3786354 +8298,MN,476,84,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,46 GRAND STREET,M1-5A, , , , , , , , , ,N,C7,4,0, ,46 N LLC,1200,5000,1000,4000,0,1000,0,0,0,0,2,1,5,8,9,20,60,20,50, ,2,N,5,2,30910,156384,0,0,1920,1987,0, , ,4.17,0,5,6.5,1,1004760084,0,47,983155,202558,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,159.9052303,1134.831712,125474,0,1,8298,8298,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +8299,MN,823,73,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,56 WEST 22 STREET,C6-4A,C6-2A, , , , , , , , ,Y,L2,6,0, ,FIFTY SIX REALTY CORP,4592,55200,55200,0,0,4600,0,50600,0,0,2,1,12,0,15,46.5,98.75,47,97, ,3,N,5,2,630000,5862150,0,0,1907,0,0,Ladies' Mile Historic District, ,12.02,10,10,10,1,1008230073,0,58,986218,209542,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,294.5593703,4692.182192,5232150,7,0,8299,8299,21,4725,33.74333191,34.82888794,1.08555603,33.8331733,0.280366526,710.4966393 +8300,MN,530,25,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,37 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,GREAT JONES STREET PR,2370,11790,7357,4433,0,7357,0,0,0,0,2,1,6,3,4,26.33,90,26.33,80, ,3,N,5,2,135450,2342700,0,0,1917,2013,2013,NoHo Historic District Extension, ,4.97,0,5,6.5,1,1005300025,0,5502,986183,204040,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,244.3761856,2564.715951,2207250,9,0,8300,8300,13,2925,43.14099884,44.12555313,0.984554291,43.21673379,0.262353547,561.8175392 +8301,MN,767,41,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,124 7 AVENUE,C6-3A, , , , , , , , , ,N,K1,5,0, ,LEESAM PLUMBING & HEA,2767,2767,2767,0,0,2767,0,0,0,0,2,1,1,0,1,27.67,100,27.67,100, ,2,N,5,0,1251000,2691000,0,0,1920,1999,1999, , ,1,7.52,6,7.5,1,1007670041,0,81,984696,209202,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,256.3738753,2751.689758,1440000,7,0,8301,8301,13,2925,25.0359993,25.0359993,0,25.0359993,0,325.4679909 +8302,MN,784,51,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,212 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,O6,5,0, ,DAVIDKAY ASSOCIATES,5496,84768,84768,0,80768,4000,0,0,0,0,2,1,16,0,0,56.25,98.75,56.25,98.75, ,0,N,5,5,435600,5510700,0,0,1924,1965,0, , ,15.42,0,10,10,1,1007840051,0,109,986792,213144,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,328.9985557,6340.012801,5075100,6,0,8302,8302,25,5625,34.68444443,34.68444443,0,34.68444443,0,867.1111107 +8303,MN,436,27,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,436 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"436 EAST 9TH STREET,",2348,6250,950,5300,0,950,0,0,0,0,2,1,5,17,19,25,93.92,25,50, ,3,N,5,2,161100,1005300,0,0,1900,0,0, , ,2.66,4,0,4,1,1004360027,0,32,988874,204248,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,251.7614917,2522.000004,844200,12,0,8303,8303,12,2700,17.84799957,17.84799957,0,17.84799957,0,214.1759949 +8304,MN,746,75,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,362 WEST 23 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,FAMILY OF FANNY LLC,3544,10582,4000,6582,0,4000,0,0,0,0,2,2,5,25,28,48,73.83,48,74, ,3,N,5,2,237150,1965150,0,0,1910,0,0, , ,2.99,4,2,4,1,1007460075,0,93,983951,211111,8b,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,253.8948559,3745.109193,1728000,2,0,8304,8304,16,3600,15.97222233,17,1.027777672,16.08847237,0.309505333,257.4155579 +8305,MN,434,45,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,425 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,JEISON REALTY CORPORA,2270,9648,0,9648,0,0,0,0,0,0,2,1,6,18,18,25,90.83,25,76, ,3,N,5,2,130500,598050,0,0,1920,1988,0,East Village/Lower East Side Historic Di, ,4.25,4,0,4,1,1004340045,0,32,988423,203820,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,244.0006228,2565.00241,467550,1,0,8305,8305,11,2475,18.26222229,19.62000084,1.357778549,18.3856567,0.390333889,202.2422237 +8306,MN,497,4,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,536 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,530 BROADWAY OWNER LL,7927,91950,91950,0,85680,6270,0,0,0,0,2,1,11,0,11,50.5,125.17,51,121, ,3,Y,5,2,2142000,24089850,0,0,1901,2011,0,SoHo-Cast Iron Historic District, ,11.6,0,5,6.5,1,1004970004,0,43,984695,202765,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,509.022489,8391.573624,21947900,0,0,8306,8306,37,8325,31.61100006,33.63222122,2.021221161,31.66562766,0.327765594,1171.628223 +8307,MN,766,19,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,239 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,C1,2,0, ,THE DAVID ROMERO REVO,2000,4160,0,4160,0,0,0,0,0,0,2,1,3,7,7,20,100,20,50, ,3,N,5,1,66566,310923,0,0,1910,0,0, , ,2.08,4,0,4,1,1007660019,0,81,984190,209153,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.962455,1989.597618,244357,7,0,8307,8307,9,2025,21.88888931,25.44333267,3.554443359,23.11990145,1.50766591,208.079113 +8308,MN,485,24,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,89 MERCER STREET,M1-5A, , , , , , , , , ,N,K1,5,0, ,"89 MERCER STREET,",2500,3000,3000,0,0,3000,0,0,0,0,2,1,1,0,1,25,100,25,100, ,0,N,5,5,450000,2013300,0,0,1995,2013,0,SoHo-Cast Iron Historic District, ,1.2,0,5,6.5,1,1004850024,0,49,984207,202740,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,255.2570435,2493.988473,1563300,0,0,8308,8308,12,2700,17.71444511,18.26177788,0.547332764,17.76005618,0.151274784,213.1206741 +8309,MN,890,7503,106,72,7000,2,2,10016,L007,17,14,5300,2,6, ,143 EAST 34 STREET,C1-9, , , , , , , , , ,N,RM,4,0, , ,3833,33585,3600,29985,0,3600,0,0,0,0,2,1,17,28,29,38.33,100,35,60, ,0,N,5,5,445051,6131702,7080,7080,2002,0,0, , ,8.76,10,2,10,1,1008907503,1250,72,990080,211207,8d, ,104 031,10307, ,1008900031,3/10/2003,1, , ,17V1.1,7,276.3598878,3738.675571,5686650,10,0,8309,8309,17,3825,37.79100037,37.79100037,0,37.79100037,0,642.4470062 +8310,MN,694,30,104,99,1035,2,3,10011,E003,10,15,5500,1,4,1B,505 WEST 22 STREET,C6-2, , , , , ,WCH, , , ,N,C1,2,0, ,ARCHANGEL MICHAEL REA,1274,6030,0,6030,0,0,0,0,0,0,2,1,5,10,10,26,49.33,26,46, ,2,N,5,2,66623,358282,0,0,1900,1988,0, , ,4.73,6.02,6,6.5,1,1006940030,0,99,982866,211551,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,163.7397549,1511.377034,291659,2,1,8310,8310,7,1575,9.699999809,10.95888901,1.258889198,9.879841123,0.440519454,69.15888786 +8311,MN,189,7508,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,38 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,CAROL QUATRONE,4375,25015,6700,18315,0,0,0,0,0,6700,2,1,6,11,12,0.1,0,0,0, ,0,N,0,5,286650,2650500,11800,11800,1915,0,0,Tribeca West Historic District, ,5.72,6.02,6,6.5,1,1001897508,1061,33,982030,201480,12a, ,115 035,10105, ,1001890023,12/20/1999,1, , ,17V1.1,7,293.2015169,4923.050855,2363850,14,1,8311,8311,24,5400,10.17444515,16.52222252,6.347777367,10.98141726,1.912718044,263.5540142 +8312,MN,449,17,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,56 ST MARKS PLACE,R8B, , , , , , , , , ,N,D1,3,0, ,"ST. MARKS EQUITIES,",4876,16454,0,16454,0,0,0,0,0,0,2,1,8,24,24,50,97.5,50,90, ,1,N,5,1,247500,1945800,0,0,2005,0,0, , ,3.37,4,0,4,1,1004490017,0,38,987912,204497,12c, ,102 019,10205, ,1004490016,1/3/2008,1, , ,17V1.1,0,299.0915573,5025.818938,1698300,12,0,8312,8312,24,5400,26.66699982,27.94444466,1.277444839,26.72022669,0.255267093,641.2854404 +8313,MN,510,30,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,57 PRINCE STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,57 PRINCE STREET ASSO,4405,29860,29860,0,0,3325,0,0,0,26535,2,1,6,0,11,46.75,99.83,46,100, ,3,Y,3,2,450000,5682600,0,0,1910,1986,2004, , ,6.78,0,5,6.5,1,1005100030,0,43,985319,202965,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,303.9502094,4971.004608,5232600,0,0,8313,8313,22,4950,38.26333237,39.4366684,1.173336029,38.41646403,0.385621863,845.1622086 +8314,MN,458,24,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,34 EAST 3 STREET,C6-2A, , , , , , , , , ,N,B9,1,0, ,"TATUM, SUSAN",1311,3680,0,2760,0,0,0,0,0,0,2,1,3,2,2,23,57.33,23,40, ,3,Y,5,1,22968,42756,1550,1550,1899,0,0,East Village/Lower East Side Historic Di, ,2.81,6.02,6,6.5,1,1004580024,0,3602,986936,203626,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,161.9675401,1297.528526,19788,1,0,8314,8314,6,1350,37.60888672,37.60888672,0,37.60888672,0,225.6533203 +8315,MN,470,7,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,164 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,HUNAN LLC,2388,10828,1440,9388,0,1440,0,0,0,0,2,1,6,20,21,25.25,94.58,25,84, ,3,N,5,2,64350,697500,0,0,1900,2014,0, , ,4.53,6.02,6,6.5,1,1004700007,0,41,985369,201477,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,248.4646475,2425.628759,633150,0,0,8315,8315,10,2250,28.80888939,35.30222321,6.493333817,29.50588932,1.937330767,295.0588932 +8316,MN,237,7501,102,41,4001,2,1,10013,E055,5,15,6800,1,2, ,132 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,RC,5,0, ,MULBERRY CONDO ASSOC,11282,54204,54204,0,44204,10000,0,0,0,0,2,1,6,0,11,124.75,101.33,0,0, ,0,Y,5,5,808650,7313850,0,0,1915,0,0, , ,4.8,6.02,6,6.5,1,1002377501,462,41,984957,201043,12c, ,101N048,10105, ,1002370001,2/2/1988,1, , ,17V1.1,7,467.5025493,12005.52885,6505200,0,0,8316,8316,55,12375,29.32999992,33.02000046,3.690000534,30.70101492,0.421357314,1688.55582 +8317,MN,781,1,105,101,1004,2,3,10001,L024,14,15,5200,1,5,1H,4 PENN PLAZA,C6-4, , , , , ,HY, , , ,N,U6,7,0,P,VORNADO NEW YORK ONE,246874,0,0,0,0,0,0,0,0,0,7,1,0,0,0,455,542.58,0,0, ,0,N,3,5,0,0,0,0,0,0,0, , ,0,10,10,10,1,1007810001,0,101,986080,212702,8d, ,105S022,10304,E-137,0, ,1, , ,17V1.1,0,1958.562045,237723.7121,0,6,0,8317,8317,1056,237600,31.73555565,37.33200073,5.596445084,36.66662897,1.306285181,38719.9602 +8318,MN,437,25,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,155 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,M1,8,0,X,ST NICHOLAS IND CH,5980,10608,10608,0,0,0,0,0,0,10608,2,1,4,0,0,52.92,113,52.92,113, ,0,N,3,2,422550,648900,422550,648900,1900,0,0, ,ST. NICHOLAS OF MYRA ORTHODOX CHURC,1.77,4,0,4,1,1004370025,0,34,989065,204447,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,341.1851158,6356.065368,226350,12,0,8318,8318,29,6525,17.51666641,18.6511116,1.13444519,17.60334844,0.264146234,510.4971046 +8319,MN,890,79,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,110 EAST 35 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,DOLAN JOHN,1646,5250,0,4585,0,0,0,0,0,0,2,1,4,1,1,16.67,98.75,16.67,55,E,3,N,5,1,128998,315048,0,0,1910,1987,0,Murray Hill Historic District, ,3.19,4,0,4,1,1008900079,0,72,989714,211526,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,247.3816266,1743.746624,186050,10,0,8319,8319,7,1575,54.3030014,56.02733231,1.724330902,54.54933439,0.603390123,381.8453407 +8320,MN,436,56,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,93 ST MARKS PLACE,R7A,R8B, , ,C1-5, , , , , ,Y,I5,8,0,P,LITTLE MISSNRY DAY NU,3103,12062,12062,0,5031,0,0,0,0,7031,2,1,4,0,1,27.5,112.83,27.5,111,E,3,N,5,2,287100,884700,287100,840600,1920,0,0, , ,3.89,4,0,4,1,1004360056,0,32,988487,204364,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,285.5685455,3090.48878,597600,12,0,8320,8320,14,3150,17.84799957,20.90999985,3.062000275,18.42203154,0.980839147,257.9084415 +8321,MN,378,33,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,125 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,125 AVE D INC C/O MIC,2185,5725,700,5025,0,700,0,0,0,0,2,1,4,6,7,23.5,93,24,58, ,3,N,5,2,23876,102287,0,0,1910,0,0, , ,2.62,6,0,6,1,1003780033,0,2602,990897,203116,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,239.344359,2283.196355,78411,12,1,8321,8321,9,2025,7.409999847,7.409999847,0,7.409999847,0,66.68999863 +8322,MN,527,76,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,281 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K2,5,0, ,226 BLEECKER STREET R,1875,3483,3483,0,1741,1742,0,0,0,0,2,1,2,0,3,30,75,30,75, ,2,Y,5,2,231750,832500,0,0,1910,1986,0,Greenwich Village Historic District Exte, ,1.86,3.44,0,6.5,1,1005270076,0,67,983551,205220,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,202.1163809,1981.958264,600750,9,0,8322,8322,9,2025,15.38333321,17.48444366,2.101110458,15.90932083,0.792985146,143.1838875 +8323,MN,593,2,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,139 WAVERLY PLACE,R6, , , , , , , , , ,N,C5,2,0, ,JUMEX REALTY CORP,1655,4736,0,4736,0,0,0,0,0,0,2,1,3,11,11,22.5,79,23,52, ,3,Y,5,1,90000,644400,0,0,1900,1988,0,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1005930002,0,71,984125,206448,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,208.5176064,1767.475469,554400,8,0,8323,8323,9,2025,17.50333405,17.50333405,0,17.50333405,0,157.5300064 +8324,MN,719,34,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,409 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CHELSEA SQUARE NORTH,1980,5676,0,5676,0,0,0,0,0,0,2,1,4,5,5,22,90,22,42,E,3,N,5,1,135958,377913,10168,10168,1900,1962,0,Chelsea Historic District, ,2.87,3,0,3,1,1007190034,0,89,983491,210934,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,227.6866368,1987.297531,241955,7,1,8324,8324,9,2025,9.307999611,15.81555557,6.507555962,11.31385167,2.847540589,101.8246651 +8325,MN,592,26,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,345 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,"IOLE REALTY CO., .",3337,10718,1375,9343,0,1375,0,0,0,0,2,1,4,10,12,47,85.67,26,76, ,3,Y,3,2,643500,2651400,0,0,1900,1987,0,Greenwich Village Historic District, ,3.21,3.44,0,6.5,1,1005920026,0,71,983938,205948,12a,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,249.3706601,3840.46383,2007900,9,0,8325,8325,17,3825,17.50333405,17.50333405,0,17.50333405,0,297.5566788 +8326,MN,11,14,101,9,1004,2,1,10004,L015,1,15,7700,1,1,1B,26 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,D4,3,0, ,BEAVER TOWERS INC,2907,51387,2300,49087,0,2300,0,0,0,0,2,1,19,20,21,53.46,56.33,53,56, ,3,Y,4,2,760500,4962150,61740,61740,1909,1989,0, , ,17.68,10,15,15,1,1000110014,0,9,980926,196059,12b, ,101S001,10101, ,0, ,1, ,1,17V1.1,0,221.5715533,3061.394706,4201650,17,1,8326,8326,15,3375,10.96100044,10.96100044,0,10.96100044,0,164.4150066 +8327,MN,140,1,101,21,2000,2,1,10007,E007,1,15,7700,1,1, ,139 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,D4,3,0,P,WEST CHAMSON CORP,2380,25473,2720,22753,0,2720,0,0,0,0,2,1,10,10,11,50.83,85.25,51,76, ,2,Y,3,2,675000,2582100,2360,2360,1915,0,0, , ,10.7,7.52,6,7.5,1,1001400001,0,21,981637,200062,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,234.4902459,2551.389232,1907100,14,0,8327,8327,13,2925,18.1439991,19.71999931,1.576000214,18.26522989,0.41995576,237.4479885 +8328,MN,297,7502,103,16,5000,2,1,10002,E015,7,14,7400,2,3, ,48 HESTER STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,10820,26564,2960,23604,0,1725,928,0,0,307,2,1,9,35,37,62.69,76.4,62,76, ,0,Y,5,5,393751,3145504,46184,117058,1990,0,0, , ,2.46,6.02,6,6.5,1,1002977502,709,16,986900,199976,12d,Y,101N051,10107, ,1002970011,12/29/1990,1, , ,17V1.1,7,333.5720829,5615.485344,2751750,13,0,8328,8328,24,5400,32.98300171,36.5644455,3.581443787,33.50982539,1.018652978,804.2358093 +8329,MN,218,7502,101,39,1016,2,1,10013,L008,1,15,7700,3,1, ,88 LAIGHT STREET,C6-3A,C6-2A, , , , ,TMU, , , ,Y,RM,4,0, ,"88 LAIGHT STREET, LLC",3017,14923,1811,13112,1811,0,0,0,0,0,2,1,8,7,8,60.23,49.96,982,0, ,0,N,0,5,178716,2157799,0,413169,2005,0,0, , ,4.95,7.52,6,7.5,1,1002187502,1517,39,981186,202469,12a, ,11N 040,10105, ,1002180018,3/8/2006,1,1,1,17V1.1,7,224.0406242,3112.949121,1979080,14,1,8329,8329,13,2925,7.28000021,7.28000021,0,7.28000021,0,94.64000273 +8330,MN,828,64,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,28 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,28 WEST 27TH STREET O,5777,63791,63791,0,58291,5500,0,0,0,0,2,1,12,0,14,58.5,98.75,59,91,E,3,N,5,2,1201500,7144200,0,0,1909,0,0,Madison Square North Historic District, ,11.04,0,10,10,1,1008280064,0,58,987039,210605,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,323.0063163,6070.052026,5942700,2,0,8330,8330,27,6075,42.13444519,45.32110977,3.186664581,42.31337922,0.666525542,1142.461239 +8331,MN,406,47,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,535 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0,C,HOUSING PRESERVATION,2581,5688,800,4888,0,800,0,0,0,0,2,1,5,8,9,25,103.25,25,92, ,1,N,5,2,5387,30488,5387,30488,1900,1987,0, , ,2.2,4,0,4,1,1004060047,0,34,989900,204731,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,262.6367494,2657.952653,25101,12,1,8331,8331,12,2700,11.35888863,12.08911133,0.730222702,11.42129612,0.201419404,137.0555534 +8332,MN,429,12,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,99 EAST 2 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,K9,5,0,P,"CARMAR DEVELOPMENT, L",2950,4648,4648,0,0,2950,0,0,0,1698,2,3,2,0,1,36.75,101.75,36.75,101.75, ,0,Y,5,5,265500,348300,0,0,1900,0,0, , ,1.58,4,0,4,1,1004290012,0,3002,987694,202907,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,295.9795156,3118.84276,82800,1,0,8332,8332,13,2925,28.19499969,30.1922226,1.9972229,28.34863223,0.532198698,368.5322189 +8333,MN,136,27,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,110 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,K4,4,0, ,"STONE, WILLIAM",1866,11292,6081,5211,0,5211,0,870,0,0,2,1,5,3,4,23.83,75,24,73, ,3,N,5,2,124200,801450,0,0,1920,1985,0,Tribeca South Historic District Extensio, ,6.05,7.52,6,7.5,1,1001360027,0,21,981941,199727,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,199.4720662,1781.615005,677250,3,0,8333,8333,8,1800,25.24200058,28.03888893,2.796888351,25.59161162,0.924983878,204.732893 +8334,MN,929,50,106,64,6000,2,2,10010,E016,13,14,5900,1,6,1B,310 EAST 24 STREET,R8, , , , , , , , , ,N,D3,3,0,X,BETH ISRAEL MEDICAL C,9875,44835,0,44835,0,0,0,0,0,0,2,1,6,70,70,100,98,99.83,67.67, ,0,N,5,2,774000,3878100,774000,3878100,1975,0,0, , ,4.54,6.02,0,6.5,1,1009290050,0,64,989857,208162,8d, ,104 009,10309, ,0, ,1, , ,17V1.1,0,412.185428,10618.42931,3104100,11,0,8334,8334,49,11025,16.80111122,21.34666634,4.545555115,17.09597062,0.995917105,837.7025604 +8335,MN,608,18,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,142 WEST 13 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"ROCKER, DANIEL",2452,3864,0,3864,0,0,0,0,0,0,2,1,4,1,1,23.75,103.25,23.75,42, ,2,N,5,2,54317,233499,0,0,1899,2009,0,Greenwich Village Historic District, ,1.58,2.43,0,4.8,1,1006080018,0,71,984452,207870,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,263.5150391,2637.729386,179182,8,0,8335,8335,11,2475,24.04400063,29.44888878,5.404888153,26.28307117,2.466820718,289.1137829 +8336,MN,613,40,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,41 PERRY STREET,R6, , , , , , , , , ,N,C6,2,0, ,41 PERRY ST OWNERS CO,1975,10500,987,9513,0,987,0,0,0,0,2,1,6,20,22,25,95,25,81, ,3,N,5,2,134550,1162800,7080,7080,1910,1986,0,Greenwich Village Historic District, ,5.32,2.43,0,4.8,1,1006130040,0,73,983464,207352,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,245.5886754,2443.649954,1028250,8,0,8336,8336,10,2250,25.34199905,26.82222176,1.480222702,25.51059914,0.44149111,255.1059914 +8337,MN,611,30,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2K,186 WAVERLY PLACE,C2-6, , , , , , , , , ,N,K4,4,0, ,WAVERLY & WEST 10TH R,1451,3696,1902,1794,439,1463,0,0,0,0,2,1,3,4,5,19.42,75,19.42,72,E,3,N,3,2,165150,673650,0,0,1910,1978,0,Greenwich Village Historic District, ,2.55,3.44,2,6.5,1,1006110030,0,73,983800,206891,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,196.7914773,1540.620952,508500,8,0,8337,8337,7,1575,21.29555511,21.29555511,0,21.29555511,0,149.0688858 +8338,MN,882,43,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,358 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,KOFEL ASSOCIATES,2765,16632,4150,12482,0,4150,0,0,0,0,2,1,5,16,20,112,24.75,112,24.75, ,2,N,3,2,232650,1748250,0,0,1900,1988,0, , ,6.02,10,2,10,1,1008820043,0,68,989232,209231,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,284.179967,3098.611912,1515600,11,0,8338,8338,13,2925,33.1230011,34.71088791,1.58788681,33.33230855,0.498906341,433.3200111 +8339,MN,600,38,102,69,1014,2,3,10014,E024,6,15,6400,1,2,1B,318 WEST HOUSTON STREET,M1-5, , , , , , , , , ,N,G4,7,0, ,UNITED PARCEL SERVICE,16695,8990,8990,0,200,0,8790,0,0,0,2,1,1,0,1,145,125.42,132,32, ,2,Y,3,0,413100,734400,0,0,1950,1951,0, , ,0.54,0,5,6.5,1,1006000038,0,69,981785,204942,12a, ,103 001,10208, ,0, ,1, ,1,17V1.1,0,558.2611728,17345.78962,321300,9,1,8339,8339,79,17775,9.702222824,12.56555557,2.863332748,10.993322,0.656800127,868.4724379 +8340,MN,615,46,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,21 BANK STREET,R6, , , , , , , , , ,N,C5,2,0, ,21 BANK STREET LLC,1965,6385,0,6385,0,0,0,0,0,0,2,1,4,8,8,21.83,90,22,70,E,3,N,5,1,156990,469163,0,0,1910,1987,0,Greenwich Village Historic District, ,3.25,2.43,0,4.8,1,1006150046,0,77,983499,207850,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,231.400802,2046.578059,312173,8,0,8340,8340,8,1800,23.05999947,28.03444481,4.974445343,24.24347186,2.053360051,193.9477749 +8341,MN,394,7504,103,28,2001,1,2,10009,L011,9,14,6300,4,3, ,619 EAST 11 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2581,4762,0,4762,0,0,0,0,0,0,2,1,5,10,10,25,103.25,0,0, ,0,N,0,5,58750,653895,7080,185618,1920,0,0, , ,1.85,4,0,4,1,1003947504,1210,28,990251,204232,12c, ,102 030,10203, ,1003940059,12/21/2001,1, ,1,17V1.1,7,260.8777742,2521.430982,595145,12,1,8341,8341,10,2250,6.934999943,9.032222748,2.097222805,7.747499895,0.83074767,77.47499895 +8342,MN,570,6,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,59 5 AVENUE,C6-4, , , , , , , , , ,N,S5,4,0, ,WILSHIRE LIMITED,2500,8332,3300,5032,0,3300,0,0,0,0,2,1,4,5,6,25,100,25,54, ,3,N,5,5,350051,726785,0,0,1938,1976,1990, , ,3.33,10,10,10,1,1005700006,0,61,985931,207067,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,261.3018883,2673.232122,376734,8,0,8342,8342,12,2700,33.2820015,34.79000092,1.50799942,33.40766811,0.416789022,400.8920174 +8343,MN,796,1,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,171 7 AVENUE,R8A,C6-3A, , ,C2-5, , , , , ,Y,D4,3,0,P,"173 7TH AVE SO., LLC",11600,62158,4231,57927,0,4231,0,0,0,0,2,1,6,58,62,92,126.08,92,114, ,1,N,3,2,1431000,5387850,92602,92602,1938,1988,0, , ,5.36,6,0,6,1,1007960001,0,87,985212,209701,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,450.2156146,12342.99663,3956850,7,0,8343,8343,55,12375,28.3488884,29.29444504,0.945556641,28.39258541,0.184537481,1561.592197 +8344,MN,181,2,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3A,10 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,10 HARRISON STREET LL,2246,12400,12400,0,10700,0,0,1700,0,0,2,1,6,0,1,25.67,87.5,26,88,E,3,N,5,2,134550,1042650,0,0,1920,0,0,Tribeca West Historic District, ,5.52,6.02,6,6.5,1,1001810002,0,39,981636,201194,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,236.3150456,2330.451406,908100,14,0,8344,8344,11,2475,18.25200081,18.25200081,0,18.25200081,0,200.7720089 +8345,MN,398,58,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,160 EAST 2 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,160-162-164 EAST 2ND,6784,11611,0,11611,0,0,0,0,0,0,2,2,4,24,24,64,106,40,45, ,0,N,5,5,432900,877950,432900,628974,1950,1985,1988, , ,1.71,4,0,4,1,1003980058,0,3002,988404,202662,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,346.4775731,6984.638203,445050,1,0,8345,8345,31,6975,19.43000031,22.94111061,3.511110306,20.93949835,1.258574843,649.1244488 +8346,MN,133,7501,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,41 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,M & A CONDOMINIUM ASS,4750,29167,13737,15430,0,13737,0,0,0,0,2,2,5,8,10,47.35,100.19,0,100.2, ,0,Y,5,5,136709,1133443,7080,7080,1915,1988,0,Tribeca South Historic District Extensio, ,6.14,7.52,6,7.5,1,1001337501,114,21,981739,199460,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,7,302.7502777,4936.561752,996734,3,0,8346,8346,20,4500,25.60300064,25.60300064,0,25.60300064,0,512.0600128 +8347,MN,415,24,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,141 ALLEN STREET,C4-4A, , , , , , , , , ,N,S4,4,0, ,MA88 LLC,1400,6300,680,5620,0,680,0,0,0,0,2,1,6,4,5,20,70,20,38, ,3,N,5,5,93690,128924,0,0,1899,2005,0, , ,4.5,4,4,4,1,1004150024,0,18,986976,201739,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,183.6234552,1436.188267,35234,13,0,8347,8347,7,1575,37.10666656,37.10666656,0,37.10666656,0,259.746666 +8348,MN,506,53,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,27 VANDAM STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SHUMWAY , CARRIE",1994,2681,0,2681,0,0,0,0,0,0,2,1,2.5,1,1,19.92,100.08,20,39,E,3,N,5,2,80066,278640,0,0,1900,2011,0,Charlton-King-Vandam Historic District, ,1.34,2.43,0,4.8,1,1005060053,0,37,982905,203990,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,243.1980622,1973.911547,198574,0,0,8348,8348,9,2025,20.62700081,24.43777847,3.810777664,22.43196339,1.671553689,201.8876705 +8349,MN,884,62,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,131 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0, ,131 LEXINGTON AVENUE,1747,5595,1485,4110,0,1485,0,0,0,0,2,1,5,6,7,21.83,80,22,52,E,3,N,5,2,105495,395655,0,0,1910,0,0, , ,3.2,6.02,6,6.5,1,1008840062,0,72,989260,209957,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,207.8515178,1830.30591,290160,11,0,8349,8349,7,1575,31.56888962,31.57777786,0.008888245,31.57015937,0.003110238,220.9911156 +8350,MN,824,51,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,22 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0,P,22 CHELSEA PROPERTIES,2765,13125,13125,0,10625,2500,0,0,0,0,2,1,5,0,5,28,98.75,28,92, ,3,N,5,2,441000,2533050,0,0,1900,0,0,Ladies' Mile Historic District, ,4.75,10,10,10,1,1008240051,0,58,986832,209498,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,256.0319497,2778.605247,2092050,2,0,8350,8350,12,2700,34.46500015,34.46500015,0,34.46500015,0,413.5800018 +8351,MN,618,13,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,240 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,J & R 240 LLC,2581,7017,1000,6017,0,1000,0,0,0,0,2,1,4,7,9,25,103.25,25,102,E,3,N,5,1,304847,625557,0,0,1910,1985,2006, , ,2.72,6.02,6,6.5,1,1006180013,0,77,983753,208562,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,264.4508093,2647.414436,320710,8,0,8351,8351,12,2700,22.30444527,22.30444527,0,22.30444527,0,267.6533432 +8352,MN,452,1,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,160 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,201 EAST 10TH STREET,2625,12330,2466,9864,0,2466,0,0,0,0,2,1,5,12,15,25,105,25,104, ,2,N,3,2,289800,2790000,0,0,1900,1984,1986, , ,4.7,4,0,4,1,1004520001,0,40,988011,205142,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,269.8569356,2952.292292,2500200,12,0,8352,8352,13,2925,22.86222267,30.54333305,7.681110382,23.77133369,2.242469506,309.027338 +8353,MN,494,10,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,242 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,242 MULBERRY ST CORP,2574,12222,556,11666,0,556,0,0,0,0,2,1,6,21,22,26.42,98.58,26,80, ,3,Y,5,2,79200,1521900,0,0,1905,0,0, , ,4.75,6.02,6,6.5,1,1004940010,0,43,985457,202630,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,259.0735409,2746.289609,1442700,0,0,8353,8353,12,2700,38.86500168,42.80833435,3.943332672,39.2936128,1.099554075,471.5233536 +8354,MN,414,57,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,95 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"HARBETH, LLC",2197,8030,1606,6424,0,1606,0,0,0,0,2,1,5,16,18,24.83,88.5,25,86,E,3,N,4,2,103500,1156500,0,0,1900,2015,0, , ,3.65,4,4,4,1,1004140057,0,18,986935,201038,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.0449285,2324.944166,1053000,13,0,8354,8354,10,2250,37.73199844,37.73199844,0,37.73199844,0,377.3199844 +8355,MN,441,35,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,211 AVENUE A,C1-6A, , , , , , , , , ,N,C7,4,0,P,VILLAGE JV 211 AVENUE,5171,23984,3997,19987,0,3997,0,0,0,0,2,1,6,35,38,51.67,100.08,52,100, ,3,N,3,2,567000,4375350,0,0,1900,1986,0, , ,4.64,4,2,4,1,1004410035,0,34,989504,205227,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,311.3239892,5419.127468,3808350,12,0,8355,8355,25,5625,16.39666748,16.39666748,0,16.39666748,0,409.916687 +8356,MN,611,51,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,12 CHARLES STREET,R6, , , , , , , , , ,N,D1,3,0, ,12 CHARLES LLC,3800,14944,0,14944,0,0,0,0,0,0,2,1,6,28,28,40,95,40,75, ,3,N,5,2,783000,3144150,0,0,1905,1985,0,Greenwich Village Historic District, ,3.93,2.43,0,4.8,1,1006110051,0,71,983986,207064,12c,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,270.0575189,3754.99183,2361150,8,0,8356,8356,16,3600,19.84000015,23.19777679,3.357776642,20.25090289,1.087432605,324.0144463 +8357,MN,798,71,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,148 WEST 23 STREET,C6-3X, , , , , , , , , ,N,D4,3,0, ,148 W 23 ST OWNERS IN,10097,127000,0,127000,0,0,0,0,0,0,2,1,12,107,107,102.25,98.75,102,99, ,2,N,5,2,1449000,11931750,167628,167628,1910,1980,0, , ,12.58,9,6,9,1,1007980071,0,91,985671,210140,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,407.3694682,10370.22072,10482800,2,0,8357,8357,47,10575,28.16444397,30.85666656,2.692222595,28.31456217,0.57894926,1330.784422 +8358,MN,574,56,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,23 WEST 10 STREET,R6, , , , , , , , , ,N,C7,4,0,P,23 WEST 10TH STREET C,2776,7178,2504,4674,2504,0,0,0,0,0,2,1,4,7,9,29.33,94.75,29,62, ,3,N,5,1,154991,644436,0,0,1900,0,0,Greenwich Village Historic District, ,2.59,2.43,0,4.8,1,1005740056,0,63,985185,206748,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,255.2096739,2859.539357,489445,8,0,8358,8358,12,2700,20.66300011,28.12000084,7.457000732,21.73277791,2.429364592,260.793335 +8359,MN,642,45,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,88 HORATIO STREET,C4-4A,R6, , , , , , , , ,Y,C6,2,0,P,THE CITY OF NEW YORK,2187,8125,0,8125,0,0,0,0,0,0,2,1,5,20,20,25,87.42,25,64, ,3,N,5,2,202500,948600,4424,4424,1920,0,0,Greenwich Village Historic District, ,3.72,4,4,4,1,1006420045,0,79,982135,208359,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,224.3472862,2069.897344,746100,8,1,8359,8359,12,2700,10.79777813,15.93777752,5.13999939,11.61564843,1.831280981,139.3877811 +8360,MN,486,21,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,77 GREENE STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,ROPEELA REALTY CORP,2500,12945,4189,8756,0,2189,0,2000,0,0,2,1,5,4,6,25,100,25,100,E,3,N,5,5,78748,498279,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.18,0,5,6.5,1,1004860021,0,49,984010,202898,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,255.6214775,2497.458692,419531,0,0,8360,8360,11,2475,11.1744442,11.1744442,0,11.1744442,0,122.9188862 +8361,MN,850,19,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,21 EAST 21 STREET,M1-5M, , , , , , , , , ,N,D3,3,0,P,"21 EAST 21ST STREET,",2765,14840,0,14840,0,0,0,0,0,0,2,1,5,26,26,28,98.75,28,96, ,3,N,5,1,416250,1831950,0,0,1900,1977,0,Ladies' Mile Historic District, ,5.37,0,5,6.5,1,1008500019,0,56,987339,208805,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,263.633273,2906.370811,1415700,7,0,8361,8361,13,2925,35.59999847,39.15000153,3.550003052,37.8426499,1.657663997,491.9544487 +8362,MN,552,54,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,108 WAVERLY PLACE,R7-2, , , , , , , , , ,N,B3,1,0, ,NURETTIN AKGUL,2138,3938,0,3938,0,0,0,0,0,0,2,1,4,2,2,22,97.17,22,36,E,3,N,5,0,67432,197073,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.84,3.44,0,6.5,1,1005520054,0,65,984469,206055,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,245.5260984,2193.920564,129641,9,0,8362,8362,10,2250,17.50333405,19.24666595,1.743331909,17.67766724,0.522999573,176.7766724 +8363,MN,163,9,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,26 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,TUNGDOT INC,4330,12880,4300,8580,0,4300,0,0,0,0,2,1,4,27,29,46.58,97,47,86, ,3,Y,5,2,194850,691650,0,0,1920,1986,0, , ,2.97,3.44,6,6.5,1,1001630009,0,29,984723,199787,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,285.533263,4445.36945,496800,14,0,8363,8363,19,4275,33.5909996,33.5909996,0,33.5909996,0,638.2289925 +8364,MN,350,71,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,153 ATTORNEY STREET,R7A, , , , , , , , , ,N,G2,10,0,P,STEFCAN ASSOCIATES IN,5050,6250,6250,0,0,0,6250,0,0,0,2,1,1,0,1,50.5,100,51,95, ,3,N,5,2,283950,513900,0,0,1950,0,0, , ,1.24,4,0,4,1,1003500071,0,2201,988769,201751,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,307.3921579,5222.45319,229950,1,0,8364,8364,24,5400,21.35555649,24.00333405,2.647777557,21.46588055,0.529095628,515.1811333 +8365,MN,479,29,102,41,1002,2,1,10012,L006,5,15,6800,1,2,1F,30 KENMARE STREET,C6-1, , , , , ,LI, , , ,N,H3,5,0, ,"153 ELIZABETH STREET,",3825,28207,0,0,0,0,0,0,0,0,2,1,9,0,1,33.67,94.17,33,94, ,3,Y,3,0,450000,6915150,0,0,2006,2012,0, , ,7.37,3.44,6,6.5,1,1004790029,0,41,985560,201794,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,278.3698527,4150.784465,6465150,0,0,8365,8365,18,4050,35.33778,38.34999847,3.012218475,36.84163051,1.359811895,663.1493492 +8366,MN,79,26,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1,1B,142 FULTON STREET,C5-5, , , , , ,LM, , , ,N,D5,3,0, ,142 FULTON LLC,2898,13194,2600,10594,0,2600,0,0,0,0,2,1,6,5,6,27,107.42,27,107, ,3,Y,5,2,132242,754566,0,0,1909,1988,2011, , ,4.55,10,15,15,1,1000790026,0,1502,981893,198073,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,277.1152762,3047.517587,622324,3,0,8366,8366,12,2700,31.21700096,35.97000122,4.753000259,31.61308432,1.313659874,379.3570118 +8367,MN,345,27,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,147 RIDGE STREET,R7A, , , , , , , , , ,N,G1,10,0,P,147 RIDGE LLC,2500,2500,2500,0,0,0,2500,0,0,0,2,1,1,0,1,25,100,0,0, ,0,N,5,5,128700,256950,0,0,1952,1986,0, , ,1,4,0,4,1,1003450027,0,2201,988998,201646,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,254.5995711,2554.301801,128250,1,0,8367,8367,12,2700,18.41222191,18.41222191,0,18.41222191,0,220.9466629 +8368,MN,438,5,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,172 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,K9,5,0, ,NEW INC/4TH WRLD MVMT,1669,4510,2433,2077,0,2433,0,0,0,0,2,1,3,2,4,17.75,94,17.75,52, ,0,N,5,2,210150,681750,0,0,1900,2004,2003, , ,2.7,4,0,4,1,1004380005,0,34,988709,204863,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,229.7169732,1679.053381,471600,12,0,8368,8368,8,1800,17.98900032,22.75888824,4.769887924,19.00756955,1.596543609,152.0605564 +8369,MN,801,30,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,107 WEST 25 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,107 WEST 25TH STREET,7900,41042,7000,34042,0,7000,0,0,0,0,2,1,6,24,27,80,98.75,80,90, ,3,N,5,2,621000,6080850,16520,16520,1905,1980,0, , ,5.2,0,10,10,1,1008010030,0,91,986374,210564,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,368.2541852,8337.972005,5459850,2,0,8369,8369,38,8550,32.50999832,34.00311279,1.493114471,32.56084352,0.247294602,1237.312054 +8370,MN,587,6,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,70 BEDFORD STREET,R6,C2-6, , , , , , , , ,Y,A4,1,0,P,KENNETH LIPPER,1414,4800,0,4800,0,0,0,0,0,0,2,1,4,1,1,30.42,46.5,30,37, ,2,N,5,2,43638,233280,0,0,1899,0,0,Greenwich Village Historic District, ,3.39,2.43,0,4.8,1,1005870006,0,67,982952,205738,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,154.241356,1337.613924,189642,9,0,8370,8370,6,1350,15.94888878,15.94888878,0,15.94888878,0,95.69333267 +8371,MN,468,53,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,217 EAST 12 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,217 ASSOCIATES,2581,4600,0,4600,0,0,0,0,0,0,2,1,3,9,9,25,103.25,25,43, ,3,N,5,1,32991,272937,0,0,1900,0,0, , ,1.78,4,0,4,1,1004680053,0,40,987845,205870,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,262.7428183,2673.338971,239946,12,0,8371,8371,12,2700,29.43199921,33.67444611,4.242446899,30.8075552,1.337691234,369.6906624 +8372,MN,576,55,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,29 WEST 12 STREET,R6, , , , , , , , , ,N,C1,2,0, ,29 WEST 12TH STREETRE,2287,7993,0,7993,0,0,0,0,0,0,2,1,5,28,28,25,95,25,80, ,0,Y,5,2,157950,1316250,0,0,1920,0,0,Greenwich Village Historic District, ,3.49,2.43,0,4.8,1,1005760055,0,63,985467,207179,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,236.2550718,2325.219452,1158300,8,0,8372,8372,9,2025,23.70299912,30.17111206,6.468112946,24.71659194,2.098545749,222.4493275 +8373,MN,613,17,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,232 WEST 11 STREET,R6, , , , , , , , , ,N,M1,8,0,X,GREATER NEW YORK CORP,8295,12890,12890,0,0,0,0,0,0,12890,2,1,2,0,2,76,116,76,112,E,3,Y,5,2,1017000,1621350,1017000,1621350,1920,0,0,Greenwich Village Historic District, ,1.55,2.43,0,4.8,1,1006130017,0,73,983493,207449,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,388.0441936,8443.319164,604350,8,0,8373,8373,38,8550,25.34199905,29.25111198,3.90911293,25.67077115,0.916918192,975.4893036 +8374,MN,348,39,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,98 CLINTON STREET,R8A, , , ,C1-5, , , , , ,N,S4,4,0,P,GOLDEN UNIVERSE RTYCP,1000,6000,1000,5000,0,1000,0,0,0,0,2,1,5,4,5,20,50,20,48, ,3,N,5,5,135459,197899,0,0,1910,1986,0, , ,6,6,0,6,1,1003480039,0,1402,988309,200926,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,147.4772793,1074.761627,62440,13,0,8374,8374,4,900,23.08555603,23.08555603,0,23.08555603,0,92.34222412 +8375,MN,567,19,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,40 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,D4,3,0,P,25 26 EAST OWNERS COR,10600,101840,10200,91640,0,10200,0,0,0,0,2,1,12,74,83,185,65.25,186,53, ,1,Y,3,2,918000,10989900,121114,121114,1926,1981,0, , ,9.61,6.02,2,6.5,1,1005670019,0,59,985842,206163,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,498.8110049,11000.70942,10071900,8,0,8375,8375,47,10575,27.86444473,33.84111023,5.976665497,28.22512793,1.383337012,1326.581013 +8376,MN,471,59,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,188 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,L8,6,0, ,"STABILE BROTHERS,",3256,11232,8532,2700,0,2808,0,0,0,5724,2,1,4,0,4,24.92,100,25,100, ,2,Y,3,2,292500,1584450,0,0,1900,1981,0, , ,3.45,6.02,6,6.5,1,1004710059,0,41,985055,201410,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,262.7815661,3138.254082,1291950,0,0,8376,8376,13,2925,27.46699905,28.46444511,0.99744606,27.54372567,0.265788808,358.0684338 +8377,MN,63,20,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,175 BROADWAY,C5-5, , , , , ,LM, , , ,N,K2,5,0,P,175-177 BROADWAY LLC,2440,11859,11859,0,2700,3300,0,5859,0,0,2,1,5,0,2,24.67,99.75,25,88, ,3,Y,5,2,675000,1542600,0,0,1920,1982,0, , ,4.86,10,15,15,1,1000630020,0,13,981438,197970,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,252.9675024,2349.077563,867600,3,0,8377,8377,10,2250,30.83200073,30.83200073,0,30.83200073,0,308.3200073 +8378,MN,448,45,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,321 EAST 6 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,"SAUKE, LEON",1635,3488,0,3488,0,0,0,0,0,0,2,1,3,5,5,20,81.75,20,60,E,3,N,5,5,192640,262659,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,2.13,4,0,4,1,1004480045,0,38,987757,204185,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,211.1969315,1639.863828,70019,1,0,8378,8378,8,1800,27.1590004,31.0233326,3.864332199,28.12681961,1.368042121,225.0145569 +8379,MN,537,5,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,216 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0, ,"YEN, SHIN YI",2500,7600,1520,6080,0,1520,0,0,0,0,2,1,5,8,9,25,100,25,100, ,3,N,5,2,124731,496165,0,0,1900,1985,0,South Village Historic District, ,3.04,3.44,0,6.5,1,1005370005,0,65,984531,204825,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.7020987,2674.708478,371434,9,0,8379,8379,11,2475,27.39777756,27.39777756,0,27.39777756,0,301.3755531 +8380,MN,879,23,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,135 EAST 23 STREET,C6-4A, , , , , , , , , ,N,H8,8,0,P,"BLDG PARTNERSHIP, 76",9875,149481,9870,3200,0,9870,0,0,0,0,2,1,16,26,360,50,197.5,50,197.5, ,0,N,3,2,4050000,6423551,0,0,1929,0,0, , ,15.14,10,10,10,1,1008790023,0,68,988601,208801,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,513.2018955,10646.80439,2373550,11,0,8380,8380,48,10800,26.06111145,29.69888878,3.637777328,26.48555581,1.046210524,1271.306679 +8381,MN,585,21,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,14 GROVE STREET,R6, , , , , , , , , ,N,C0,2,0, ,LBD1 LLC,1369,2640,0,2640,0,0,0,0,0,0,2,1,3,3,3,20.25,67.58,20.25,44, ,3,N,5,2,48428,157593,0,0,1901,0,0,Greenwich Village Historic District, ,1.93,2.43,0,4.8,1,1005850021,0,73,982692,206051,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,183.7035088,1430.287336,109165,9,0,8381,8381,7,1575,18.5988884,21.14999962,2.551111221,19.21666636,0.998666,134.5166645 +8382,MN,587,7502,102,67,3001,2,3,10014,E024,6,15,6400,2,2, ,13 MORTON STREET,C2-6, , , , , , , , , ,N,RM,4,0, , ,1580,5560,2077,3483,135,1942,0,0,0,0,2,1,5,5,7,57.7,54.76,52,36, ,0,Y,0,5,108629,680606,2360,2360,1925,0,0,Greenwich Village Historic District Exte, ,3.52,3.44,2,6.5,1,1005877502,1133,67,983184,205730,12a, ,103 004,10208, ,1005870032,12/20/2000,1, , ,17V1.1,7,205.6550341,1827.799959,571977,9,0,8382,8382,9,2025,18.00777817,18.00777817,0,18.00777817,0,162.0700035 +8383,MN,503,15,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,125 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"125 SULLIVAN STREET,",3000,13380,700,12680,0,700,0,0,0,0,2,1,7,28,30,40.33,75,40,62, ,2,Y,5,1,296100,1826550,0,0,1900,1986,0,Sullivan-Thompson Historic District, ,4.46,3.44,0,6.5,1,1005030015,0,49,983614,203871,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,248.1685379,3007.444475,1530450,0,0,8383,8383,14,3150,15.37666702,19.93222237,4.555555344,15.73377807,1.170006828,220.272893 +8384,MN,562,33,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,53 EAST 10 STREET,R7-2, , , , , , , , , ,N,D0,3,0, ,53 E 10TH ST CORP,2653,14104,2150,11954,0,2150,0,0,0,0,2,1,6,5,6,28,94.75,28,92, ,3,N,5,2,246287,988650,7080,7080,1900,1988,0, , ,5.32,3.44,0,6.5,1,1005620033,0,61,986453,206047,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,251.04129,2790.888954,742363,8,0,8384,8384,12,2700,34.39444351,34.39444351,0,34.39444351,0,412.7333221 +8385,MN,882,31,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,137 EAST 26 STREET,R8B,C6-2A, , , , , , , , ,Y,C1,2,0, ,137 E. 26 REALTY LLC,4148,16782,0,16782,0,0,0,0,0,0,2,1,6,35,35,46.67,98.75,46.67,85.75, ,3,Y,5,2,225000,1776600,0,350593,1920,1983,2003, , ,4.05,4,0,4,1,1008820031,0,68,989019,209387,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,297.4084826,4301.458673,1551600,11,0,8385,8385,20,4500,31.85222244,31.85222244,0,31.85222244,0,637.0444489 +8386,MN,753,47,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,306 WEST 30 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,306 WEST 30TH STREET,2173,6194,0,6194,0,0,0,0,0,0,2,1,5,14,14,22,98.75,22,62, ,3,N,5,1,135000,1008000,0,0,1900,1999,1999, , ,2.85,4,0,4,1,1007530047,0,97,985361,212420,8d, ,105S019,10303, ,0, ,1, , 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BRUCE MACGREGOR,1190,2672,1132,1540,0,1132,0,0,0,0,2,1,3,1,2,17,70,17,36, ,3,N,5,5,40721,131880,1550,1550,1901,2015,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1006200045,0,73,983013,206842,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,186.2365211,1324.990642,91159,9,0,8388,8388,6,1350,24.70777702,24.70777702,0,24.70777702,0,148.2466621 +8389,MN,271,37,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,207 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,207 MADISON OWNERS LL,3272,13910,2316,11594,0,2316,0,0,0,0,2,1,6,20,21,26.08,100.17,26,98, ,2,Y,5,2,184500,1371150,0,0,1920,0,0, , ,4.25,3.44,0,6.5,1,1002710037,0,6,987158,199016,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,307.7994786,3357.460215,1186650,16,0,8389,8389,14,3150,17.21111107,23.02000046,5.808889389,19.58865084,2.748207374,274.2411118 +8390,MN,447,31,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,91 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,VITA LEASING LTD,2425,6625,2350,4275,0,2350,0,0,0,0,2,1,5,8,11,24.25,100,24,54, ,2,N,5,1,178200,580950,0,0,1920,0,0, , ,2.73,4,0,4,1,1004470031,0,38,987939,203874,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,252.6350662,2516.762194,402750,1,0,8390,8390,11,2475,25.30111122,26.8488903,1.547779083,25.6119194,0.570590567,281.7311134 +8391,MN,73,2,101,15.02,2015,2,1,10038,E004,1,15,7700,1,1,1B,PIER-15 SOUTH STREET,C4-6, , , , , ,LM, , , ,N,T2,7,0,C,NYC DSBS,164325,164325,164325,0,0,0,0,0,0,164325,2,1,1,0,0,273.33,597.75,0,540.75, ,0,Y,2,5,3726000,5022900,3726000,5022900,1900,0,0,South Street Seaport Historic District, ,1,10,3.4,10,1,1000730002,0,1502,983345,195979,12b, ,101N103,10102, ,0, ,1,1,1,17V1.1,0,1636.00527,47217.94834,1296900,4,1,8391,8391,7,1575,0.656844795,7.349999905,6.69315511,6.315739725,2.311394894,44.21017808 +8392,MN,877,7501,106,68,3000,2,2,10010,E005,13,14,5300,1,6, ,280 3 AVENUE,C2-8A, , , , , , , , , ,N,RM,4,0, , ,4950,89730,2560,87169,0,2560,0,0,0,0,2,1,21,81,82,66,75,66,75, ,1,N,3,5,1074149,23904003,0,13819761,2012,0,0, , ,18.13,10,2,10,1,1008777501,2447,68,988680,208198,8d, ,102 045,10307, ,1008770051,5/1/2014,1, , ,17V1.1,7,296.8977797,5481.495133,22829900,11,0,8392,8392,25,5625,22.27111053,23.51333237,1.242221832,22.98133331,0.302235303,574.5333328 +8393,MN,588,3,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,86 BEDFORD STREET,R6, , , , , , , , , ,N,S1,4,0, ,SPEAKEASY 86 LLC,1700,3864,1560,2304,0,1560,0,0,0,0,2,1,3,1,2,24.75,67.33,20,68, ,0,N,2,5,101750,265148,0,0,1890,2009,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1005880003,0,73,982849,205997,12a, ,103 004,10208, ,1005880001,5/11/2006,1, , ,17V1.1,0,188.8681067,1713.983797,163398,9,0,8393,8393,9,2025,18.94666672,18.94666672,0,18.94666672,0,170.5200005 +8394,MN,210,2,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3A,325 CHURCH STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0, ,MATERA FAMILY LIMITED,900,3240,810,2430,0,810,0,0,0,0,2,1,4,2,3,18.17,50.42,18,50, ,3,Y,5,4,38965,79127,0,0,1910,0,0,Tribeca East Historic District, ,3.6,6.02,6,6.5,1,1002100002,0,33,983258,201630,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,138.3002547,967.2926022,40162,0,0,8394,8394,5,1125,12.33199978,12.33199978,0,12.33199978,0,61.65999889 +8395,MN,434,36,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3A,95 AVENUE A,R7A, , , ,C2-5, , , , , ,N,K4,4,0, ,EVANS SHELDON,1524,5329,3046,2283,0,3046,0,0,0,0,2,1,4,2,4,22.83,66.75,22.83,66.75, ,2,N,3,2,239850,621450,0,0,1910,1993,2009,East Village/Lower East Side Historic Di, ,3.5,4,0,4,1,1004340036,0,32,988651,203653,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,188.5004297,1697.502473,381600,1,0,8395,8395,7,1575,18.26222229,19.51600075,1.253778458,18.4413335,0.438731067,129.0893345 +8396,MN,878,43,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,296 3 AVENUE,C2-8A, , , , , , , , , ,N,D6,4,0,P,296 THIRD AVENUE GROU,2262,10500,1857,8643,0,1857,0,0,0,0,2,1,5,12,16,30,70,30,70, ,3,Y,3,2,231300,2030850,0,0,1920,1980,0, , ,4.64,10,2,10,1,1008780043,0,68,988814,208437,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,233.5325894,2673.818571,1799550,11,0,8396,8396,12,2700,22.27111053,26.39111137,4.120000839,22.96314764,1.478963981,275.5577717 +8397,MN,822,49,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,12 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,"12W21 LAND, L.P.",4646,58900,58900,0,50000,4200,0,0,0,4700,2,1,12,0,12,50.5,92,51,91, ,3,N,5,2,999000,5848650,0,0,1907,2012,0,Ladies' Mile Historic District, ,12.68,10,10,10,1,1008220049,0,54,986561,209064,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,288.2125063,4744.463568,4849650,7,0,8397,8397,20,4500,35.09799957,40.42666626,5.328666687,35.36443291,1.16135598,707.2886581 +8398,MN,612,8,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,46 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,46 PERRY STREET,2450,6189,0,5314,0,0,0,0,0,0,2,3,3,3,3,25,94.67,25,35, ,0,N,5,2,146700,408840,0,0,1900,1983,0,Greenwich Village Historic District, ,2.53,2.43,0,4.8,1,1006120008,0,73,983447,207204,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,249.5736058,2641.634198,262140,8,0,8398,8398,12,2700,24.50222206,26.12000084,1.617778778,24.75768518,0.572285947,297.0922222 +8399,MN,202,29,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,42 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,WIN-KEE PROPERTIES IN,2000,3666,3666,0,2444,1222,0,0,0,0,2,1,3.5,0,5,16.67,120,17,120,E,3,N,5,2,138600,542250,0,0,1920,2003,0, , ,1.83,3.44,6,6.5,1,1002020029,0,29,985109,199990,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,277.9301873,1989.925562,403650,14,0,8399,8399,9,2025,42.4090004,43.20600128,0.797000885,42.49755605,0.250473214,382.4780045 +8400,MN,453,6,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,184 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0,P,184 SECOND AVE CORP,2067,4881,1476,3405,500,976,0,0,0,0,2,1,5,6,8,20.67,100,21,60,E,3,N,5,2,121900,390968,0,0,1900,0,0, , ,2.36,4,0,4,1,1004530006,0,40,988191,205470,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,250.2047005,2144.436245,269068,12,0,8400,8400,9,2025,24.84000015,28.41888809,3.578887939,26.74813546,0.888018741,240.7332191 +8401,MN,280,7,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,35 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C4,2,0, ,"35 HENRY STREET, LLC",2529,11166,0,11166,0,0,0,0,0,0,2,1,6,18,18,25.25,100,25,84, ,3,N,5,2,171000,966150,0,0,1900,0,0, , ,4.42,3.44,0,6.5,1,1002800007,0,8,985319,199078,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,258.390669,2750.050599,795150,16,0,8401,8401,14,3150,27.8318882,29.04899979,1.217111588,27.96648352,0.345679919,391.5307693 +8402,MN,618,52,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,225 WEST 13 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"225W13, LLC",2581,6925,0,6925,0,0,0,0,0,0,2,1,3,2,2,25,103.25,25,103.25, ,3,N,5,2,68436,237180,0,0,1899,0,0,Greenwich Village Historic District, ,2.68,2.43,0,4.8,1,1006180052,0,77,983900,208360,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,262.4372796,2634.912355,168744,8,0,8402,8402,12,2700,22.30444527,24.54055595,2.236110687,22.49078782,0.618028345,269.8894539 +8403,MN,449,42,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,79 EAST 7 STREET,R8B, , , , , , , , , ,N,S5,4,0, ,IVAN & J ROSCISHEWSK,2438,6233,1558,4675,0,1558,0,0,0,0,2,1,4,5,6,25,97.5,25,65, ,3,N,5,5,56115,192875,0,0,1900,1982,0,East Village/Lower East Side Historic Di, ,2.56,4,0,4,1,1004490042,0,38,988072,204295,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,250.9091818,2511.3809,136760,12,0,8403,8403,12,2700,25.48777771,27.51555634,2.027778625,25.8986667,0.5976451,310.7840004 +8404,MN,564,1,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,31 EAST 12 STREET,C1-7, , , , , , , , , ,N,D4,3,0,P,31 E 12 ST OWNERS INC,7150,65926,3200,62726,0,3200,0,0,0,0,2,1,12,81,86,84,92.5,84,92, ,3,Y,3,2,693000,7722000,14160,14160,1929,0,0, , ,9.22,6.02,2,6.5,1,1005640001,0,61,986354,206681,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,352.9897341,7775.091154,7029000,8,0,8404,8404,35,7875,38.11633301,39.79999924,1.683666229,38.19590759,0.330639527,1336.856766 +8405,MN,874,10,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,113 EAST 18 STREET,R8B, , , , , , , , , ,N,K4,4,0, ,"GRAMERCY 18, INC",1632,6871,3672,3199,300,3372,0,0,0,0,2,1,5,2,4,32,58.5,32,58, ,0,Y,5,2,243000,892800,0,0,1910,2009,2004, , ,4.21,4,0,4,1,1008740010,0,50,987690,207749,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,187.9506174,1737.713696,649800,5,0,8405,8405,8,1800,33.91699982,33.91699982,0,33.91699982,0,271.3359985 +8406,MN,446,9,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,302 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,302-4 SWA,4119,16448,3150,13298,0,3150,0,0,0,0,2,1,6,22,25,42.83,96.17,43,90, ,3,N,5,2,307350,1869300,0,0,1920,1987,0, , ,3.99,4,0,4,1,1004460009,0,38,987414,203916,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,284.7894224,4259.521695,1561950,1,0,8406,8406,18,4050,32.62111282,35.10889053,2.48777771,32.7593227,0.569853904,589.6678085 +8407,MN,507,1,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,13 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,224 ENTERPRISES INC,2918,12528,1000,11528,0,1000,0,0,0,0,2,1,5,20,23,39.58,74.33,38,74, ,2,N,3,2,129600,1118250,0,0,1910,1989,0, , ,4.29,6.02,6,6.5,1,1005070001,0,43,985927,202621,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,246.4694595,3359.6823,988650,0,0,8407,8407,15,3375,44.71333313,46.66333389,1.950000763,46.10932515,0.628953174,691.6398773 +8408,MN,503,25,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,109 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,FULCRUM,2508,6865,800,6065,0,800,0,0,0,0,2,1,5,8,10,25.08,100,25,52, ,3,N,5,2,47518,181966,0,0,1900,0,0,Sullivan-Thompson Historic District, ,2.74,3.44,0,6.5,1,1005030025,0,49,983671,203744,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,250.5651514,2451.015179,134448,0,0,8408,8408,12,2700,15.37666702,15.37666702,0,15.37666702,0,184.5200043 +8409,MN,274,7502,103,8,6013,2,1,10002,E009,5,14,7800,1,3, ,148 MADISON STREET,C8-4, , , , , , , , , ,N,RM,4,0, , ,11160,74881,23331,51550,0,8633,14698,0,0,0,2,1,11,80,82,75,200,75,0, ,0,Y,4,5,675007,6629420,26370,26370,2002,0,0, , ,6.71,0,5,6.5,1,1002747502,1291,8,986225,198724,12d, ,101N054,10107, ,1002740012,8/29/2003,1, , ,17V1.1,7,540.2453492,11686.69312,5954410,16,0,8409,8409,49,11025,24.3488884,30.79300117,6.444112778,26.40209478,0.982999095,1293.702644 +8410,MN,638,7501,102,75,2001,2,3,10014,L005,6,15,6400,3,2, ,164 BANK STREET,C1-7,C1-6A, , , , , , , , ,Y,RM,4,0, ,BANK HOUSE STREET CON,3697,17586,1012,16574,337,675,0,0,0,0,2,1,11,24,26,34,84,0,0, ,0,N,5,5,940501,2865602,2360,2360,1988,0,0, , ,4.76,6.02,2,6.5,1,1006387501,576,75,981640,207359,12a, ,103 013,10210, ,1006380010,12/31/1988,1,1,1,17V1.1,7,299.0170585,3798.037336,1925100,9,1,8410,8410,16,3600,8.471111298,9.109000206,0.637888908,9.059611321,0.156340871,144.9537811 +8411,MN,742,33,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,303 WEST 18 STREET,C1-6A, , , , , , , , , ,N,C2,2,0, ,CHELSEA 303 W 18TH ST,1041,4400,0,4400,0,0,0,0,0,0,2,1,4,5,5,22,47.33,22,40, ,2,N,5,5,186734,313740,0,0,1920,0,0, , ,4.23,4,2,4,1,1007420033,0,89,983961,209812,8d,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,144.5279814,1150.003172,127006,7,0,8411,8411,6,1350,15.59444427,15.59444427,0,15.59444427,0,93.56666565 +8412,MN,693,48,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,526 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,K2,5,0, ,AUTUMN RHYTHM INC,2468,4938,4938,0,0,4938,0,0,0,0,2,1,2,0,1,25,98.75,25,98,E,3,N,5,0,112500,1118250,0,0,1920,2004,0, , ,2,0,5,6.5,1,1006930048,0,99,982583,211556,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,252.9635217,2469.632246,1005750,7,1,8412,8412,11,2475,6.691111088,6.691111088,0,6.691111088,0,73.60222197 +8413,MN,523,44,102,55.01,1004,2,1,10012,L009,6,15,5700,1,2,2A,627 BROADWAY,C6-2, , , , , , , , , ,N,O6,5,0, ,RENAISSANCE 627 BROAD,10000,104500,104500,0,57000,9500,0,0,0,38000,2,1,10,0,10,50,200,50,190, ,3,N,4,2,2250000,13043250,0,0,1890,2003,0,NoHo Historic District, ,10.45,6.02,6,6.5,1,1005230044,0,5501,985172,203873,12c, ,103 009,10206, ,0, ,1, , ,17V1.1,0,528.8867237,11031.88487,10793300,9,0,8413,8413,49,11025,35.67444611,39.84777832,4.173332214,35.81215582,0.686832844,1754.795635 +8414,MN,646,14,102,79,1001,2,3,10014,L005,6,15,6100,1,2,3B,446 WEST 14 STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,446 WEST 14TH STREET,5162,16501,16501,0,7161,9340,0,0,0,0,2,1,3,0,1,50,103.25,50,103.25, ,3,N,5,2,675000,5094900,0,0,1936,2010,2010,Gansevoort Market Historic District, ,3.2,0,5,6.5,1,1006460014,0,79,982145,209452,8b, ,103 039,10210, ,0, ,1, 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+8441,MN,474,7506,102,47,2012,2,1,10013,E055,1,15,6800,1,2, ,40 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,21370,117024,31526,85498,0,9339,22187,0,0,0,2,1,13,41,46,106.92,200,180,95, ,0,N,0,5,1799995,32311348,0,5964897,2005,0,0,SoHo-Cast Iron Historic District, ,5.48,0,5,6.5,1,1004747506,1654,47,983994,202045,12c,Y,11N 070,10206, ,1004740038,4/24/2007,1, , ,17V1.1,7,644.7149821,23330.45905,30511400,0,0,8441,8441,104,23400,18.36666679,21.10111046,2.734443665,19.18875243,0.805837812,1995.630253 +8442,MN,277,7,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,87 MADISON STREET,R7-2, , , , , , , , , ,N,G6,10,0, ,HENRY MADISON ASSOC.,2866,0,0,0,0,0,0,0,0,0,7,1,0,0,0,29,100.58,0,0, ,0,Y,5,5,378900,378900,0,0,0,0,0, , ,0,3.44,0,6.5,1,1002770007,0,8,985374,198821,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,263.1415287,2975.155084,0,16,0,8442,8442,13,2925,25.18000031,30.18222237,5.002222061,27.37752122,1.500441796,355.9077759 +8443,MN,487,28,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,146 SPRING STREET,M1-5A, , , , , , , , , ,N,S3,4,0, ,"FRANK M. CONTE, GENER",1600,3225,850,2375,0,850,0,0,0,0,2,1,3.75,3,4,20,80,20,52, ,2,N,5,5,69414,222705,0,0,1910,1980,2010,SoHo-Cast Iron Historic District, ,2.02,0,5,6.5,1,1004870028,0,47,983856,203084,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,206.0450204,1722.472368,153291,0,0,8443,8443,8,1800,13.42399979,18.28000069,4.8560009,15.24030554,2.110035013,121.9224443 +8444,MN,353,59,103,14.02,1001,1,1,10002,L018,7,14,7400,1,3,2A,135 RIVINGTON STREET,R7A, , , , , , , , , ,N,C1,2,0,P,135 RIVINGTON ASSOC.,2513,10410,800,9610,800,0,0,0,0,0,2,1,5,10,10,25,100.33,25,91, ,3,N,5,2,90420,481214,0,0,1930,1984,0, , ,4.14,4,0,4,1,1003530059,0,1402,987976,201341,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,255.9904595,2574.874299,390794,13,0,8444,8444,12,2700,26.83777809,30.49444389,3.656665802,27.26703723,1.056464482,327.2044468 +8445,MN,483,7502,102,45,1002,2,1,10012,E055,5,15,6800,1,2, ,56 CROSBY STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,8400,55460,19760,35700,0,8400,0,11360,0,0,2,1,6,9,10,47,200,47,200, ,0,Y,0,5,1678329,15032237,0,0,1900,2000,0,SoHo-Cast Iron Historic District, ,6.6,0,5,6.5,1,1004837502,1152,45,984586,202436,12c, ,11N 073,10206, ,1004830011,11/3/2000,1, , ,17V1.1,7,509.2569829,8784.448959,13353900,0,0,8445,8445,37,8325,24.68222237,26.32111168,1.638889313,24.72651667,0.265765834,914.8811169 +8446,MN,598,42,102,37,1011,2,3,10014,E024,1,15,6800,1,2,1B,551 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,G1,10,0, ,TRINITY CHURCH CORP,12500,12523,12523,0,0,0,12523,0,0,0,2,1,1,0,1,125.17,100,125,100, ,2,N,3,0,562500,1185750,0,0,1920,0,0, , ,1,0,10,10,1,1005980042,0,37,981892,204398,12a, ,101N066,10208,E-288,0, ,1, ,1,17V1.1,0,452.9140267,12693.47638,623250,0,1,8446,8446,57,12825,11.0577774,12.84444427,1.78666687,11.15359012,0.361290578,635.7546368 +8447,MN,309,13,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,327 GRAND STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,327 GRAND STREET REAL,1408,5429,1403,4026,0,1403,0,0,0,0,2,1,5,8,9,21.75,64.75,21.75,65,E,0,N,5,2,92501,611388,0,0,1900,2003,2003, , ,3.86,6.02,6,6.5,1,1003090013,0,16,986876,200480,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,179.835148,1489.582778,518887,13,0,8447,8447,5,1125,34.44444275,36.7159996,2.271556854,34.89875412,0.908622742,174.4937706 +8448,MN,766,60,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,228 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C4,2,0,C,228 WEST 17 STREET HO,2100,7790,0,7790,0,0,0,0,0,0,2,1,5,15,15,25,84,25,66, ,3,N,5,2,108450,1503000,108450,1503000,1930,0,0, , ,3.71,6.02,6,6.5,1,1007660060,0,81,984340,209179,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,236.4716727,2446.192483,1394550,7,0,8448,8448,10,2250,21.88888931,24.89666748,3.007778168,22.3208004,0.94344322,223.208004 +8449,MN,495,7,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,247 LAFAYETTE STREET,C6-2, , , , , ,LI, , , ,N,Y1,8,0,C,FIRE DEPARTMENT,12633,36525,36525,0,0,0,0,0,0,36525,2,1,5,0,1,128,99.33,102,98, ,0,N,5,2,1827000,4250250,1827000,4250250,1972,0,0, , ,2.89,6.02,6,6.5,1,1004950007,0,43,985211,202671,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,463.935518,13306.31035,2423250,0,0,8449,8449,58,13050,37.57110977,40.17889023,2.607780457,37.76704867,0.580137592,2190.488823 +8450,MN,796,67,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,150 WEST 21 STREET,C6-3A, , , , , , , , , ,N,D1,3,0,P,2 ELLWOOD ST. L.L.C.,9298,48249,0,48249,0,0,0,0,0,0,2,1,6,61,61,101.5,92,102,76, ,3,N,5,2,540000,3750300,0,1979317,1950,1987,0, , ,5.19,7.52,6,7.5,1,1007960067,0,87,985343,209737,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,394.2887463,9703.179202,3210300,7,0,8450,8450,43,9675,28.3488884,30.72222137,2.373332977,28.49405635,0.533405096,1225.244423 +8451,MN,612,7501,102,73,6001,2,3,10014,Q018,6,15,6400,2,2, ,22 PERRY STREET,C2-6, , , , , , , , , ,N,RM,4,0,P,ACUMED,4242,20485,5460,15025,0,5460,0,0,0,0,2,1,5,21,23,108.75,75,0,0, ,0,Y,5,5,665998,5557499,7080,7080,1987,0,0,Greenwich Village Historic District, ,4.83,3.44,2,6.5,1,1006127501,530,73,983707,207264,12a, ,103 015,10209, ,1006120021,8/29/1988,1, , ,17V1.1,7,334.3908166,4752.212417,4891500,8,0,8451,8451,20,4500,24.50222206,25.60666656,1.104444504,24.61899433,0.308317038,492.3798866 +8452,MN,522,41,102,55.02,2007,2,1,10012,L009,9,15,5700,1,2,1G,301 MULBERRY STREET,M1-5B, , , , , , , , , ,N,K2,5,0,P,321 LAFAYETTE REALTY,1875,3700,3700,0,1850,1850,0,0,0,0,2,1,2,0,3,50,43.58,50,43.58, ,0,Y,5,5,1755900,3037950,0,0,1920,2004,0, , ,1.97,0,5,6.5,1,1005220041,0,5502,985660,203519,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,179.5858798,1972.485658,1282050,9,0,8452,8452,10,2250,40.82555389,42.1922226,1.366668701,40.96222076,0.41000061,409.6222076 +8453,MN,522,5,102,55.02,2005,2,1,10012,L009,9,15,5700,1,2,2A,622 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0,P,MOKLAM ENTERPRISES I,14235,99470,99470,0,65170,34300,0,0,0,0,2,2,6,0,4,75.08,196.08,75,188, ,3,Y,4,1,3150000,20239650,0,0,1910,2014,2015,NoHo Historic District, ,6.99,0,5,6.5,1,1005220005,0,5502,985384,203694,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,555.6746359,14677.13385,17089700,9,0,8453,8453,65,14625,40.23777771,41.2211113,0.983333588,40.38621386,0.111047995,2625.103901 +8454,MN,861,54,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,32 EAST 32 STREET,C5-2, , , , , , , , , ,N,H3,5,0,P,PINNACLE TOWER REALTY,2469,33275,3510,0,1925,1585,0,0,0,0,2,1,16,0,2,25,98.75,25,99, ,3,N,5,2,1332000,4738950,0,0,2008,2007,0, , ,13.48,10,10,10,1,1008610054,0,74,988841,211080,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,257.5891877,2594.856918,3406950,10,0,8454,8454,13,2925,37.62444687,41.36777496,3.743328094,37.91239518,0.997482223,492.8611374 +8455,MN,873,10,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,105 EAST 17 STREET,R8B, , , , , , , , , ,N,O2,5,0, ,AP-AMSTERDAM 1661 PAR,28779,109375,109375,0,109375,0,0,0,0,0,2,1,4,0,1,185,184,124,184, ,3,Y,4,2,10545750,23081850,0,0,1960,2008,0, ,GUARDIAN LIFE INSURANCE COMPANY OF,3.8,4,0,4,1,1008730010,0,50,987586,207597,12c, ,102 045,10307, ,1008730001,1/4/2000,1, , ,17V1.1,0,832.2388229,30365.79687,12536100,5,0,8455,8455,135,30375,34.90100098,38.87555313,3.974552155,35.00651615,0.44582733,4725.879681 +8456,MN,243,80,103,2.02,2003,1,1,10002,E015,7,14,8000,1,3,1B,71 JACKSON STREET,R7-2, , , , , , , , , ,N,I1,8,0,X,SERVANTS 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,17V1.1,0,325.4613832,3868.164687,1332450,12,0,8464,8464,17,3825,33.48777771,34.41666794,0.928890228,33.54241831,0.218562407,570.2211113 +8465,MN,348,49,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,165 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,S9,4,0,P,HALLIVIS REALTY CORP,1675,4729,1000,3729,0,1000,0,0,0,0,2,1,2,2,4,25,67,25,62,E,0,N,3,5,194250,282950,0,0,1910,1949,0, , ,2.82,4,0,4,1,1003480049,0,1402,988399,201191,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,194.1236435,1909.565186,88700,13,0,8465,8465,8,1800,23.08555603,25.11111259,2.025556564,23.3387506,0.669889867,186.7100048 +8466,MN,746,7506,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,312 WEST 23 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, ,THE LOUIS PHILIPPE CO,10800,39567,12886,26681,0,12886,0,0,0,0,2,1,5,77,82,109.37,98.75,109,98,E,3,N,0,5,630003,6708609,22030,122883,1948,1987,2005, , ,3.66,4,2,4,1,1007467506,1441,93,984444,210823,8d, ,15S 007,10303, ,1007460050,7/21/2005,1, , 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GREENWICH AVENUE,C1-6,R6, , , , , , , , ,Y,K2,5,0,P,ALMI GREENWICH ASSOC,8612,25000,25000,0,0,3000,0,0,0,22000,2,1,4,0,1,67.42,118.33,67.42,118.33, ,2,Y,3,1,774000,5556600,0,0,1920,0,0,Greenwich Village Historic District, ,2.9,3.44,2,6.5,1,1006150029,0,77,983685,207966,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,403.3798046,9320.032916,4782600,8,0,8471,8471,43,9675,23.05999947,26.43000031,3.370000839,23.47338455,1.032877026,1009.355536 +8472,MN,233,13,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,143 GRAND STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,DSA 143 GRAND STREET,1440,4300,4300,0,0,1100,0,3200,0,0,2,1,4,0,4,17.92,80.08,18,80,E,3,Y,5,2,79200,797850,0,0,1920,1989,2004,SoHo-Cast Iron Historic District Extensi, ,2.99,0,5,6.5,1,1002330013,0,45,984363,201615,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,203.6442314,1524.07833,718650,0,0,8472,8472,6,1350,17.40800095,17.40800095,0,17.40800095,0,104.4480057 +8473,MN,878,28,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,145 EAST 22 STREET,R9A, , , , , , , , , ,N,D1,3,0, ,"JERULEE CO., LLC",7406,32610,0,32610,0,0,0,0,0,0,2,1,6,48,48,75,98.75,75,80, ,2,N,5,2,544500,3375900,0,0,1940,0,0, , ,4.4,7.52,0,7.52,1,1008780028,0,68,988620,208390,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,349.6222267,7461.990415,2831400,11,0,8473,8473,32,7200,22.27111053,25.66200066,3.390890121,25.51794159,0.620483684,816.574131 +8474,MN,745,24,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,319 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,317-321 W 21ST ST ASS,2469,13050,0,13050,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,84, ,3,N,5,2,85500,648900,0,0,1900,1971,0, , ,5.29,3,0,3,1,1007450024,0,89,984152,210572,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,255.2546363,2526.298933,563400,7,0,8474,8474,12,2700,15.97222233,21.14444542,5.172223091,16.77148167,1.793801506,201.2577801 +8475,MN,179,66,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,139 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,L2,6,0, ,139-141 FRANKLIN STCO,5655,56384,56384,0,0,0,0,56384,0,0,2,1,10,0,11,53.58,116,54,108,E,2,Y,5,2,393300,4135500,0,0,1915,1988,0,Tribeca West Historic District, ,9.97,6.02,6,6.5,1,1001790066,0,33,982221,201199,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,321.9562474,6001.013967,3742200,14,1,8475,8475,27,6075,10.17444515,10.17444515,0,10.17444515,0,274.7100191 +8476,MN,767,19,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,227 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,227 W 17 ST CORP,4944,34797,6799,27998,0,6799,0,0,0,0,2,1,8,9,10,120,40,120,42, ,3,Y,5,2,308804,2471118,2360,2360,1910,2005,0, , ,7.04,6.02,6,6.5,1,1007670019,0,81,984406,209282,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,326.9521566,5068.704448,2162310,7,0,8476,8476,22,4950,21.88888931,21.88888931,0,21.88888931,0,481.5555649 +8477,MN,899,37,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,238 EAST 19 STREET,R7-2, , , , , , , , , ,N,A9,1,0,P,"CONLEY III, JAMES G",1680,4510,0,3470,0,0,0,0,0,0,2,1,4,1,1,20,84,20,52, ,3,N,5,1,32809,349081,0,0,1900,1964,2008, , ,2.68,3.44,0,6.5,1,1008990037,0,48,988820,207257,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,213.5030679,1858.255213,316272,5,0,8477,8477,8,1800,20.82333374,22.75,1.92666626,21.50430584,0.881659218,172.0344467 +8478,MN,476,26,102,47,2001,2,3,10013,L008,1,15,6800,1,2,1A,517 BROOME STREET,M1-5B, , , , , , , , , ,N,Z9, ,0, ,IS-ILA REALTY CORP,1040,96,96,0,96,0,0,0,0,0,2,1,1,0,1,20,48.08,5.83,18.83, ,0,Y,3,5,76500,189450,0,0,1900,0,0, , ,0.09,0,5,6.5,1,1004760026,0,47,983186,202907,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,153.8681539,1127.890894,112950,0,1,8478,8478,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +8479,MN,507,42,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,244 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,CARBONARA DI BARI RLT,1947,3595,3595,0,0,1198,0,2397,0,0,2,1,3,0,3,20.92,94.83,21,92, ,3,Y,5,2,175050,621000,0,0,1900,0,0, , ,1.85,3.44,6,6.5,1,1005070042,0,43,986061,202625,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,239.8749343,2023.684347,445950,9,0,8479,8479,8,1800,44.71333313,46.47000122,1.756668091,45.14454174,0.740496951,361.1563339 +8480,MN,451,39,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,147 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,H3,5,0,P,MIDON REALTY CORP,1656,8280,1656,0,0,1656,0,0,0,0,2,2,4,0,1,23.08,71.75,23,72, ,3,N,3,2,225000,1552050,0,0,1900,2011,0, , ,5,4,0,4,1,1004510039,0,40,988386,204652,12c, ,102 019,10205, ,1004510039,1/5/1990,1, , ,17V1.1,0,203.3056087,1933.252105,1327050,12,0,8480,8480,10,2250,23.10400009,26.24111176,3.137111664,23.41771126,0.941133499,234.1771126 +8481,MN,819,26,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,21 WEST 17 STREET,C6-4A, , , , , , , , , ,N,K2,5,0, ,17-18 MANAGEMENT COMP,2484,6600,6600,0,0,6600,0,0,0,0,2,1,3,0,1,27,92,27,90, ,3,N,5,2,387000,760050,0,0,1950,2000,0,Ladies' Mile Historic District, ,2.66,10,10,10,1,1008190026,0,54,986092,208375,8d, ,102 041,10306,E-131,0, ,1, , ,17V1.1,0,249.2024203,2552.708211,373050,7,0,8481,8481,12,2700,32.36888886,33.18533325,0.816444397,32.43692589,0.225653311,389.2431107 +8482,MN,825,29,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,23 WEST 23 STREET,C5-2, , , , , , , , , ,N,O5,5,0, ,200 FIFTH OWNER LLC,2419,7735,7735,0,5935,1800,0,0,0,0,2,1,4,0,4,24.5,98.75,25,90,E,3,Y,5,2,832950,1921950,0,0,1920,2014,0,Ladies' Mile Historic District, ,3.2,10,10,10,1,1008250029,0,58,986919,209674,8d, ,104 001,10306,R-61,0, ,1, , ,17V1.1,0,265.3343908,2622.030673,1089000,2,0,8482,8482,11,2475,36.32888794,36.32888794,0,36.32888794,0,399.6177673 +8483,MN,493,16,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,24 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C5,2,0, ,24 PRINCE STREET OWNE,2470,7987,0,7987,0,0,0,0,0,0,2,1,5,8,8,23.5,109.67,24,70, ,3,Y,5,2,107963,583303,0,0,1900,0,0, , ,3.23,6.02,6,6.5,1,1004930016,0,43,985733,202573,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,264.3618348,2504.165829,475340,0,0,8483,8483,11,2475,42.74333191,45.50444412,2.761112213,43.76576718,1.149694482,481.423439 +8484,MN,849,7506,105,52,1000,2,2,10010,E014,13,15,5700,1,5, ,24 EAST 21 STREET,M1-5M, , , , , , , , , ,N,RM,4,0, , ,5500,39466,6630,32836,0,6630,0,0,0,0,2,1,9,8,9,50,110,50,98, ,3,N,0,5,325564,5278884,0,0,1935,1982,2004,Ladies' Mile Historic District, ,7.18,0,5,6.5,1,1008497506,1682,52,987291,208649,8d, ,102 044,10306, ,1008490058,5/18/2007,1, , ,17V1.1,7,333.2011971,5830.203185,4953320,7,0,8484,8484,24,5400,34.69888687,38.73444366,4.035556793,35.07464647,1.102642476,841.7915154 +8485,MN,279,55,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,22 CATHERINE STREET,R7-2, , , , , , , , , ,N,L8,6,0, ,VJHC HOLDING CORP.,1845,12105,6705,5400,0,1800,0,4905,0,0,2,1,7,0,7,27.17,69.08,27,62, ,3,Y,5,2,246150,1316250,0,0,1900,0,0, , ,6.56,3.44,0,6.5,1,1002790055,0,27,984978,199050,12d, ,101S029,10107, ,0, ,1, , 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,1,1,1,17V1.1,0,4740.354481,71546.3945,7388550,11,1,8487,8487,226,50850,0,6.926666737,6.926666737,3.12201088,1.72523105,705.574459 +8488,MN,696,26,104,99,1037,2,3,10011,E003,10,15,5500,1,4,2B,509 WEST 24 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,"511 W 24TH ST., LLC",5925,9976,8798,1178,714,8084,0,0,0,0,2,1,2,1,2,60,98.75,60,98.75, ,0,N,5,5,135000,1371150,0,0,2006,0,0, , ,1.68,0,5,6.5,1,1006960026,0,99,983076,212098,8b, ,15S 003,10301,E-142,1006960033,7/25/2005,1,1,1,17V1.1,0,320.4893894,6035.320107,1236150,2,1,8488,8488,27,6075,8.63299942,9.204333305,0.571333885,8.6541605,0.107897764,233.6623335 +8489,MN,535,8,102,55.01,1000,2,1,10012,L009,6,15,5700,1,2,2A,567 LA GUARDIA PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,51205,470400,470400,0,0,0,0,0,0,470400,2,1,12,0,1,209,245,189,209, ,1,Y,3,1,5625000,30964500,5625000,30964500,1973,0,0, , ,9.19,3.44,0,6.5,1,1005350008,0,5501,985045,205013,12c, ,103 008,10207, ,0, ,1, , ,17V1.1,0,926.4125516,53485.42155,25339500,9,0,8489,8489,237,53325,30.57444382,34.53111267,3.956668854,31.18424402,0.972759921,7390.665833 +8490,MN,34,37,101,7,1033,2,1,10005,L015,1,15,7700,1,1,1B,100 OLD SLIP,C6-9, , , , , ,LM, , , ,N,P7,8,0,M,CULTURAL AFFAIRS,11346,19568,19568,0,16568,3000,0,0,0,0,2,1,5,0,1,360,33,162,30, ,1,Y,1,2,1264500,1940850,1264500,1940850,1920,1986,0, ,FIRST PRECINCT POLICE STATION,1.72,10,15,15,1,1000340037,0,7,981933,195645,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,811.0353763,13494.03757,676350,17,1,8490,8490,57,12825,5.993332863,8.02333355,2.030000687,6.69080879,0.691743736,381.376101 +8491,MN,286,27,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,247 EAST BROADWAY,R7-2, , , , , , , , , ,N,S4,4,0, ,247 EAST BROADWAY REA,2013,5500,2000,3500,0,2000,0,0,0,0,2,1,4,4,5,23,87.5,23,86,E,3,N,5,5,88716,129259,0,0,1910,0,0, , ,2.73,3.44,0,6.5,1,1002860027,0,201,988151,199473,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,227.3890228,2103.49496,40543,13,0,8491,8491,10,2250,30.16900063,34.37666702,4.207666397,31.03938904,1.306719967,310.3938904 +8492,MN,194,38,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,407 BROADWAY,C6-2A, , , , , ,TMU, , , ,N,K7,5,0, ,407 BROAD/CANAL,5475,15914,15914,0,8414,7500,0,0,0,0,2,1,2,0,1,52.5,103.25,53,103, ,2,Y,5,2,472500,5035950,0,0,1926,0,0,Tribeca East Historic District, ,2.91,6.02,6,6.5,1,1001940038,0,33,983543,201247,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,337.7277849,5976.290085,4563450,14,0,8492,8492,26,5850,12.8255558,16.1455555,3.319999695,13.24970106,1.005678537,344.4922276 +8493,MN,586,65,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,262 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,"ANTHONY SANSONE, AS T",1350,2664,879,1785,0,879,0,0,0,0,2,1,3,2,3,18,75,18,36,E,3,N,5,5,42046,102849,29092,29092,1910,0,0,Greenwich Village Historic District Exte, ,1.97,3.44,0,6.5,1,1005860065,0,67,983364,205654,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,190.7427884,1346.94053,60803,9,0,8493,8493,5,1125,17.38400078,17.38400078,0,17.38400078,0,86.92000389 +8494,MN,625,54,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,30 8 AVENUE,C1-6, , , , , , , , , ,N,H3,5,0,P,JANE 8 LLC,571,1624,0,0,0,0,0,0,0,0,2,1,3,0,1,20.42,33,20,30, ,3,Y,5,2,103500,1069650,0,0,1841,0,0,Greenwich Village Historic District, ,2.84,3.44,2,6.5,1,1006250054,0,77,983069,208085,12a,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,105.0778005,452.7930272,966150,8,0,8494,8494,1,225,20.9066658,20.9066658,0,20.9066658,0,20.9066658 +8495,MN,615,97,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,275 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"DANA, SARAH F",735,3080,0,2310,0,0,0,0,0,0,2,1,3,1,1,22.33,31,22.33,35, ,3,Y,5,1,55072,168721,0,0,1899,2005,0,Greenwich Village Historic District, ,4.19,2.43,0,4.8,1,1006150097,0,77,983269,208035,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,105.369472,632.7522053,113649,8,0,8495,8495,2,450,21.74111176,21.74111176,0,21.74111176,0,43.48222351 +8496,MN,801,19,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,133 WEST 25 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,MARCUS OFFICE OWNER L,4937,45449,45449,0,40499,4950,0,0,0,0,2,1,9,0,19,50,98.75,50,99,E,3,N,5,2,756000,3829050,0,0,1921,1985,0, , ,9.21,0,10,10,1,1008010019,0,91,986124,210702,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,310.2592053,5328.736266,3073050,2,0,8496,8496,24,5400,32.50999832,32.50999832,0,32.50999832,0,780.2399597 +8497,MN,439,1,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,182 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,M9,8,0,P,ISLAMIC CNCL OF AMERI,2825,13136,8475,4661,0,0,0,2824,0,5651,2,2,5,6,7,28.25,100,28,100, ,3,N,3,2,558000,702000,0,0,1910,1988,2010, , ,4.65,4,0,4,1,1004390001,0,34,988790,204999,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,271.2321635,3128.023258,144000,12,0,8497,8497,13,2925,21.74699974,22.51311111,0.766111374,21.85543559,0.255437925,284.1206627 +8498,MN,635,7503,102,79,3004,2,3,10014,L005,6,15,6100,3,2, ,751 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,R6,2,0, , ,1140,3040,0,3040,0,0,0,0,0,0,2,1,4,2,2,20,57.5,20,38,E,2,Y,0,5,32906,131633,15974,35330,1899,0,0,Greenwich Village Historic District, ,2.67,4,2,4,1,1006357503,2111,79,982021,207718,12a, ,103 013,10210, ,1006350010,9/9/2010,1, , ,17V1.1,7,158.9244683,1199.994508,98727,8,1,8498,8498,4,900,13.34599972,13.34599972,0,13.34599972,0,53.38399887 +8499,MN,517,37,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,171 PRINCE STREET,R7-2, , , , , , , , , ,N,M2,8,0,P,THE FRANCISCAN ORDER,10170,28497,28497,0,28497,0,0,0,0,0,2,1,3,0,1,75,125.58,48,116,E,2,Y,3,2,1304100,2890350,1291059,2861447,1985,0,0,Sullivan-Thompson Historic District, ,2.8,3.44,0,6.5,1,1005170037,0,49,983800,203933,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,461.2338017,10674.12702,1586250,9,0,8499,8499,47,10575,17.9011116,17.9011116,0,17.9011116,0,841.3522453 +8500,MN,145,7506,101,21,1000,2,1,10007,E007,1,15,7700,3,1, ,119 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,119 CHAMBERS LLC,1875,11168,2864,8304,0,1313,0,1551,0,0,2,1,6,4,5,24.75,75.75,25,73, ,3,Y,5,5,72819,861654,0,0,1920,2006,0,Tribeca South Historic District, ,5.96,7.52,6,7.5,1,1001457506,1825,21,981906,199910,12b, ,101S017,10104, ,1001450009,4/9/2008,1, , ,17V1.1,7,210.8128834,1948.530716,788835,14,0,8500,8500,9,2025,21.27222252,21.27222252,0,21.27222252,0,191.4500027 +8501,MN,607,51,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,111 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,111 W 11 CORP,3497,12962,0,12962,0,0,0,0,0,0,2,1,6,20,20,30,103.25,30,86, ,3,Y,5,2,360000,1552950,18880,18880,1900,0,0,Greenwich Village Historic District, ,3.71,2.43,0,4.8,1,1006070051,0,71,984612,207378,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,310.21805,3632.925228,1192950,8,0,8501,8501,16,3600,21.80333328,23.01000023,1.206666946,21.97625005,0.388284996,351.6200008 +8502,MN,463,7501,103,38,1002,1,2,10003,E033,9,14,6500,4,3, ,63 COOPER SQUARE,C6-1, , , , , , , , , ,N,RM,4,0, ,COOPER SQUARE CONDOMI,5075,30340,7635,22705,0,7635,0,0,0,0,2,1,6,36,37,68.58,74,0,0, ,0,N,5,5,843750,4073398,14160,14160,1984,0,0, , ,5.98,3.44,6,6.5,1,1004637501,224,38,987047,204896,12c, ,102 018,10205, ,1004630003,12/5/1985,1, , ,17V1.1,7,291.2306558,5286.43372,3229650,12,0,8502,8502,23,5175,34.15777969,39.44444275,5.286663055,34.78878419,1.644298109,800.1420364 +8503,MN,435,56,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,95 EAST 7 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,95 EAST 7TH STREET LL,2356,9950,1200,8750,0,0,0,1200,0,0,2,1,5,20,21,24.17,97.5,24,87, ,3,N,5,2,180000,877050,0,0,1900,1984,0,East Village/Lower East Side Historic Di, ,4.22,4,0,4,1,1004350056,0,32,988372,204128,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,252.7011882,2472.098818,697050,12,0,8503,8503,13,2925,20.24200058,20.24200058,0,20.24200058,0,263.1460075 +8504,MN,594,111,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,495 CANAL STREET,C6-2A, , , , , , , , , ,N,O2,5,0, ,"STATHIS ENTERPRISES,",1000,2000,2000,0,2000,0,0,0,0,0,2,1,2,0,2,17,84,17,84, ,2,Y,5,0,126900,353700,0,0,1899,0,0, , ,2,6.02,6,6.5,1,1005940111,0,37,981952,203131,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,180.4558781,1045.160679,226800,0,1,8504,8504,3,675,7.988888741,7.988888741,0,7.988888741,0,23.96666622 +8505,MN,378,17,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,720 EAST 9 STREET,R8B, , , ,C1-5, , , , , ,N,C1,2,0,O,NEW YORK CITY HOUSING,42689,64907,4695,60212,0,0,4695,0,0,0,2,4,4,59,59,226.5,187.1,0,0, ,0,N,4,5,855000,5985900,855000,5985900,1994,0,0, , ,1.52,4,0,4,1,1003780017,0,2602,990667,203209,12c, ,102 023,10202, ,1003780017,1/4/1995,1, ,1,17V1.1,0,892.8283367,44802.9131,5130900,12,1,8505,8505,199,44775,7.409999847,11.18000031,3.770000458,8.737281866,1.413490109,1738.719091 +8506,MN,822,30,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,5 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,5 WEST 20 ST CORP,2576,10940,10940,0,8364,2576,0,0,0,0,2,1,5,0,5,28,92,28,84,E,3,N,5,2,225000,1826100,0,0,1910,2008,0,Ladies' Mile Historic District, ,4.25,10,10,10,1,1008220030,0,54,986570,208949,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,252.8894618,2827.805023,1601100,7,0,8506,8506,14,3150,34.23199844,39.15888977,4.926891327,35.2977453,1.580786308,494.1684341 +8507,MN,55,16,101,13,1005,2,1,10006,E010,1,15,7700,1,1, ,80 WEST STREET,C6-9, , , , , ,LM, , , ,N,H2,5,0,P,"HMC FINANCIAL CENTER,",20161,420322,3000,0,0,3000,0,0,0,0,2,1,38,0,5,116.92,86,65,57, ,0,Y,3,5,18000000,51005700,0,0,1989,2006,2014, , ,20.85,10,15,15,1,1000550016,0,13,980274,197741,12b, ,101S009,10101, ,1000550023,12/28/1988,1,1,1,17V1.1,0,621.6055641,22530.57565,33005700,15,1,8507,8507,100,22500,7.869999886,7.869999886,0,7.869999886,0,786.9999886 +8508,MN,769,49,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,218 WEST 20 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,"RABKIN, DOROTHY",2150,4978,1700,3278,0,1700,0,0,0,0,2,1,3,2,3,25,85.92,25,33, ,3,Y,5,0,76985,155325,1550,1550,1920,0,0, , ,2.32,4,0,4,1,1007690049,0,87,984766,209782,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,230.626293,2279.746183,78340,7,0,8508,8508,9,2025,21.88888931,25.40555573,3.516666412,22.27963003,1.10518163,200.5166702 +8509,MN,410,67,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,108 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,108 DELANCEY STREET S,2220,7520,7520,0,0,1920,0,1920,0,3680,2,1,4,0,1,22,100,20,96,E,3,Y,5,2,405450,979650,0,0,1900,1983,0, , ,3.39,6.02,6,6.5,1,1004100067,0,18,987455,201221,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,249.3844582,2273.994009,574200,13,0,8509,8509,10,2250,31.33099937,31.33099937,0,31.33099937,0,313.3099937 +8510,MN,832,66,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,1226 BROADWAY,M1-6, , , , , , , , , ,N,D6,4,0,P,1234 BROADWAY LLC,14024,133394,22000,111394,5000,17000,0,0,0,0,2,1,13,217,228,105.75,173.33,98,170, ,3,Y,3,2,3429000,13270950,0,0,1890,1986,0, ,GRAND HOTEL,9.51,0,10,10,1,1008320066,0,76,987578,211488,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,531.8279857,16381.4712,9841950,10,0,8510,8510,73,16425,43.61000061,45.06666565,1.456665039,43.66706294,0.247210047,3187.695595 +8511,MN,822,80,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,664 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,K4,4,0, ,664 AVENUE OF THE AME,1478,5400,3294,2106,0,3294,0,0,0,0,2,1,4,2,4,20,73.75,20,71,E,3,N,5,2,180000,858150,0,0,1910,2015,0,Ladies' Mile Historic District, ,3.65,6.02,6,6.5,1,1008220080,0,54,986002,209321,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,190.0267102,1425.542645,678150,7,0,8511,8511,7,1575,34.23199844,35.6866684,1.454669952,34.43980844,0.509028447,241.0786591 +8512,MN,493,9,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,228 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,228 MOTT ST. LLC,2457,8010,1275,6735,0,1275,0,0,0,0,2,1,6,14,16,26.42,93,26,49, ,2,N,5,2,121500,994500,0,0,1900,2006,0, , ,3.26,6.02,6,6.5,1,1004930009,0,43,985657,202444,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,245.1895409,2503.220666,873000,0,0,8512,8512,11,2475,42.74333191,45.32666779,2.583335876,43.20171599,0.972741383,475.2188759 +8513,MN,804,53,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,122 WEST 29 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,"122 WEST 29, LLC",2469,8985,8985,0,0,3811,0,5174,0,0,2,1,4,0,5,25,98.75,25,98, ,2,N,5,2,432000,1178100,0,0,1920,1989,0, , ,3.64,0,10,10,1,1008040053,0,95,986667,211400,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,250.1954789,2403.146068,746100,6,0,8513,8513,12,2700,40.67900085,40.67900085,0,40.67900085,0,488.1480103 +8514,MN,297,15,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,46 HESTER STREET,C6-2, , , , , , , , , ,N,S9,4,0,P,HESTER EAST LLC,1267,6750,2250,4500,1125,1125,0,0,0,0,2,1,6,4,6,25.33,50,25,45, ,0,N,5,5,264113,699840,0,0,2003,0,0, , ,5.33,6.02,6,6.5,1,1002970015,0,16,986942,199976,12d,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,155.2433007,1315.526508,435727,13,0,8514,8514,6,1350,32.98300171,34.00922394,1.026222229,33.23576037,0.389494046,199.4145622 +8515,MN,464,7503,103,38,1000,1,2,10003,E033,9,14,6500,4,3, ,133 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,RM,4,0, , ,5748,20641,9028,11613,0,9028,0,0,0,0,2,1,5,11,13,47.92,120,46,119, ,0,N,0,5,1174499,5424751,0,0,1920,1986,0, , ,3.59,4,0,4,1,1004647503,1959,38,987597,204822,12c, ,102 018,10205, ,1004640040,11/12/2008,1, , ,17V1.1,7,346.8097187,6267.088685,4250250,12,0,8515,8515,29,6525,32.10889053,32.10889053,0,32.10889053,0,931.1578255 +8516,MN,874,27,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,137 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,A9,1,0, ,"FLEXNER, THOMAS",1150,3241,750,2491,0,0,0,0,0,0,2,1,4,1,1,14.58,79.42,14.58,68, ,3,N,5,2,40564,269407,0,0,1900,1984,2011,Gramercy Park Historic District, ,2.82,4,0,4,1,1008740027,0,50,988060,207560,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,195.6444348,1267.889248,228843,5,0,8516,8516,5,1125,27.68333435,30.48666573,2.803331375,28.24400063,1.12133255,141.2200031 +8517,MN,608,7501,102,71,2000,2,3,10011,Q018,6,15,6100,3,2, ,175 WEST 12 STREET,C2-6,R6, , , , , , , , ,Y,RM,4,0, ,175 W 12 ST CONDOMINI,15435,183323,21727,161596,0,9261,12018,0,0,448,2,1,19,214,223,159.5,95,0,0, ,0,Y,5,5,2216250,25060951,88574,246373,1961,1961,0,Greenwich Village Historic District, ,11.88,3.44,2,6.5,1,1006087501,487,71,984208,207916,12c, ,103 027,10209, ,1006080001,1/5/1988,1, , ,17V1.1,7,530.5545651,16077.9061,22844700,8,0,8517,8517,71,15975,24.04400063,28.62333298,4.579332352,24.30559368,0.926642593,1725.697151 +8518,MN,803,26,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,115 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,115 W 27TH STREET ASS,4937,59440,59440,0,55940,3500,0,0,0,0,2,1,12,0,0,50,98.75,50,90, ,0,N,5,5,990000,5896800,0,0,1910,0,0, , ,12.04,0,10,10,1,1008030026,0,95,986549,211056,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,302.7988424,5025.494646,4906800,2,0,8518,8518,23,5175,36.93999863,37.16799927,0.228000641,37.14817312,0.064244045,854.4079819 +8519,MN,784,5,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,488 8 AVENUE,C6-4M,M1-6, , , , ,GC, , , ,Y,K9,5,0, ,488 EIGHTH AVENUE OWN,2368,6255,6255,0,1944,2367,0,0,0,1944,2,1,3,0,4,23.67,100,23.67,100,E,3,N,5,2,277650,1742400,0,0,1920,0,0, , ,2.64,10,10,10,1,1007840005,0,109,986214,213395,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,246.1060659,2224.773067,1464750,6,0,8519,8519,9,2025,34.68444443,34.68444443,0,34.68444443,0,312.1599998 +8520,MN,631,7502,102,75,1004,2,3,10014,L005,6,15,6400,2,2, ,677 WASHINGTON STREET,C1-6A,C1-7, , , , , , , , ,Y,RM,4,0,P,PALESTRONI ALFIERO,14158,82830,22397,60433,0,10442,11955,0,0,0,2,1,21,73,74,89.33,130.55,0,0, ,0,Y,5,5,3541533,13439699,23600,23600,1987,0,0, , ,5.85,4,2,4,1,1006317502,376,75,981994,206672,12a, ,103 012,10210, ,1006310008,1/7/1987,1, , ,17V1.1,7,489.7496914,14469.6507,9898170,9,0,8520,8520,64,14400,17.77111053,19.01222229,1.241111755,17.82472169,0.201147318,1140.782188 +8521,MN,819,7501,105,54,1004,2,3,10011,E014,13,15,5700,1,5, ,12 WEST 18 STREET,C6-4A, , , , , , , , , ,N,RM,4,0,P,CHELSEA E CONDOMINIUM,4876,30675,7925,22750,5250,2675,0,0,0,0,2,1,9,13,18,53,92,0,0, ,0,N,5,5,657897,5386047,7080,7080,1985,1983,0,Ladies' Mile Historic District, ,6.29,10,10,10,1,1008197501,109,54,986174,208442,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,7,303.1011543,5239.013605,4728150,7,0,8521,8521,24,5400,32.36888886,36.81222153,4.443332672,32.55402772,0.887894787,781.2966652 +8522,MN,43,2,101,7,1010,2,1,10005,E004,1,15,7700,1,1, ,40 WALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,40 WALL STREET HOLDIN,34360,1061286,1061286,0,1041265,20021,0,0,0,0,2,1,63,0,1,150,194.58,150,194.58, ,0,Y,5,2,19980000,71617500,0,0,1931,0,0, ,MANHATTAN COMPANY BUILDING,30.89,10,15,15,1,1000430002,0,7,981555,196847,12b, ,101S011,10101, ,0, ,1, , ,17V1.1,0,851.0533937,35085.92878,51637500,17,0,8522,8522,156,35100,26.2345562,35.90000153,9.665445328,27.09081106,2.22258704,4226.166525 +8523,MN,586,60,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,6 MORTON STREET,R7-2, , , ,C1-5, , , , , ,N,B1,1,0, ,"MOHENSI, SAAD",659,1977,0,1977,0,0,0,0,0,0,2,1,3,2,2,20.83,36,20.83,36, ,3,Y,5,0,36380,112722,0,0,1899,2012,0,Greenwich Village Historic District Exte, ,3,3.44,0,6.5,1,1005860060,0,67,983310,205702,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,118.8757341,685.2193521,76342,9,0,8523,8523,3,675,17.38400078,17.38400078,0,17.38400078,0,52.15200233 +8524,MN,193,7509,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,51 WALKER STREET,C6-2A, , , , , , , , , ,N,R4,3,0, ,51 WALKER STREET,5120,26213,0,26213,0,0,0,0,0,0,2,1,9,15,15,50,107.08,50,76, ,0,Y,0,5,621001,4249351,7080,7080,2005,0,0,Tribeca East Historic District, ,5.12,6.02,6,6.5,1,1001937509,1624,33,983278,201165,12a, ,101N046,10105, ,1001930034,10/8/2009,1, , ,17V1.1,7,318.6954183,5207.092267,3628350,14,0,8524,8524,23,5175,13.68111134,19.26888847,5.587777138,14.12705334,1.451354689,324.9222269 +8525,MN,448,13,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,58 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"PELENSKY, EXECUTOR, A",2498,6792,1698,5094,0,1698,0,0,0,0,2,1,4,6,6,25,99.92,25,79, ,3,N,5,5,48363,166810,0,0,1920,1983,0,East Village/Lower East Side Historic Di, ,2.72,4,0,4,1,1004480013,0,38,987755,204294,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,254.2549875,2504.179684,118447,12,0,8525,8525,12,2700,27.1590004,31.51666641,4.357666016,28.62637981,1.627170038,343.5165577 +8526,MN,226,1,102,37,3014,2,1,10013,L008,1,15,6800,1,2,1B,431 CANAL STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,REMAINDERMAN 1 HUDSON,62613,993903,993903,0,894013,60000,0,39890,0,0,2,1,16,0,67,391.75,312,372,252, ,1,Y,3,2,7843950,111000600,0,0,1930,1998,0, ,HOLLAND PLAZA BUILDING,15.87,0,10,10,1,1002260001,0,37,982360,202845,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,1115.906958,64117.24057,103157000,0,1,8526,8526,284,63900,9.686666489,11.51666641,1.829999924,9.730287005,0.240711019,2763.401509 +8527,MN,972,1,106,44,5005,2,4,10009,E005,13,14,6000,1,6,1A,240 1 AVENUE,R7-2,C1-7, , ,C1-5, , , , , ,Y,D7,4,0,P,BPP ST OWNER LLC,2675000,8942176,574234,8367942,16820,77414,480000,0,0,0,2,38,13,8764,8812,1362,2023,1362,2023, ,0,Y,1,5,117450000,635384250,0,0,1945,0,0, , ,3.34,3.44,0,6.5,1,1009720001,0,44,990376,205864,12c, ,102 040,10310, ,0, ,1,1,1,17V1.1,0,6559.367245,2697660.844,517934016,5,1,8527,8527,11991,2697975,6.340000153,24.90999985,18.56999969,15.22253305,4.47381155,182533.3938 +8528,MN,405,5,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,182 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C1,2,0,P,AVENUE A LLC,4918,15392,0,15392,0,0,0,0,0,0,2,4,4,32,32,51.5,95.5,26,45, ,2,N,5,2,405000,1707300,0,0,1920,1987,0, , ,3.13,4,0,4,1,1004050005,0,34,989449,204766,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,296.2958635,4950.776834,1302300,12,0,8528,8528,23,5175,13.81444454,17.3077774,3.493332863,14.46687926,1.186872571,332.7382231 +8529,MN,863,13,105,74,1002,2,4,10016,L024,14,15,5200,1,5,1A,15 EAST 33 STREET,C5-2, , , , , , , , , ,N,O4,5,0,P,WOHIO HOLDING INC,15306,349683,349683,0,327418,16686,0,5579,0,0,2,1,20,0,30,80,197.5,80,197.5, ,0,Y,5,5,11250000,43565850,0,0,1925,1979,2013, , ,22.85,10,10,10,1,1008630013,0,74,988727,211671,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,578.1653143,16385.42618,32315900,10,0,8529,8529,74,16650,47.42777634,47.66266632,0.234889984,47.62899641,0.02760025,3524.545734 +8530,MN,504,34,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,104 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,104-106 SULLIVAN STRE,4700,18740,0,18740,0,0,0,0,0,0,2,1,6,35,36,47,100,47,84, ,3,N,5,2,390600,2722950,0,0,1910,2013,0,Sullivan-Thompson Historic District, ,3.99,3.44,0,6.5,1,1005040034,0,49,983362,203721,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,301.2088336,4869.278006,2332350,0,0,8530,8530,22,4950,17.73666573,20.73333359,2.996667862,18.0880296,0.760705192,397.9366512 +8531,MN,627,8,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,32 GANSEVOORT STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,LITTLE WEST 12TH STRE,2225,7875,5050,2825,2825,2225,0,0,0,0,2,2,5,2,5,25,89,25,89,E,3,Y,5,2,720000,1960200,0,0,1910,0,0,Gansevoort Market Historic District, ,3.54,0,5,6.5,1,1006270008,0,79,982621,208584,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,231.7336157,2205.909463,1240200,8,0,8531,8531,12,2700,14.72666645,14.72666645,0,14.72666645,0,176.7199974 +8532,MN,473,5,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,470 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,"470 BROADWAY, LLC",3350,6664,6664,0,0,6664,0,0,0,0,2,1,2,0,1,33.33,100,33,94,E,3,N,5,2,756000,7535700,0,0,1910,2009,0,SoHo-Cast Iron Historic District, ,1.99,0,5,6.5,1,1004730005,0,45,984216,201973,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,271.8208278,3423.801108,6779700,0,0,8532,8532,15,3375,20.99799919,21.7322216,0.734222412,21.04694735,0.183147247,315.7042103 +8533,MN,779,66,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,242 WEST 30 STREET,M1-6D, , , , , , , , , ,N,O6,5,0,P,RUSHITA LLC,7406,94914,94914,0,86954,7960,0,0,0,0,2,1,14,0,57,75,98.75,75,93, ,0,N,5,5,580500,7109550,0,0,1927,0,0, , ,12.82,10,10,10,1,1007790066,0,95,985767,212194,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,355.5408492,7637.479596,6529050,6,0,8533,8533,35,7875,30.68222237,31.32444382,0.642221451,31.03774556,0.099974616,1086.321095 +8534,MN,297,29,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,3 ESSEX STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,"3-5 ESSEX PARTNERS, L",1120,4632,4632,0,0,1100,0,3532,0,0,2,1,4,0,2,22.42,52,20,52, ,3,Y,5,2,54000,525150,0,0,1920,0,0, , ,4.14,6.02,6,6.5,1,1002970029,0,16,986915,199698,12d, ,101N051,10107, ,0, ,1, , 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,17V1.1,0,292.2636331,2865.55843,1556550,12,0,8536,8536,12,2700,34.9980011,35.34000015,0.341999054,35.10772292,0.143952105,421.292675 +8537,MN,544,71,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,29 EAST 4 STREET,M1-5B, , , , , , , , , ,N,P7,8,0,C,PARKS AND RECREATION,3072,4237,0,0,0,0,0,0,0,0,2,1,3,0,1,24.25,128.83,24.25,50, ,0,Y,5,5,246600,479250,246600,479250,1900,0,0, ,OLD MERCHANT'S HOUSE (SEABURY TREDW,1.38,0,5,6.5,1,1005440071,0,57,986391,204412,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,312.8441508,3229.814709,232650,9,0,8537,8537,14,3150,40.7820015,45.61000061,4.827999115,41.69250897,1.492673845,583.6951256 +8538,MN,276,55,103,8,3000,2,1,10038,E009,5,14,7800,1,3,1A,49 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MAR LOWER EAST SIDE L,2863,9390,2100,7290,0,2100,0,0,0,0,2,1,5,16,17,25.08,113,25,92, ,3,Y,5,2,108450,444600,0,0,1900,1984,0, , ,3.28,3.44,0,6.5,1,1002760055,0,8,985202,198602,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,284.6719278,2985.928663,336150,16,0,8538,8538,13,2925,13.17555523,15.0577774,1.882222176,13.43709373,0.617512411,174.6822186 +8539,MN,299,21,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,68 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"37 RE, LLC",1879,8580,1825,6755,0,1825,0,0,0,0,2,1,5,16,19,25,75.17,25,74,E,3,N,3,2,128250,360000,0,0,1910,1985,0, , ,4.57,6.02,6,6.5,1,1002990021,0,16,986603,200100,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,201.8685754,1995.169897,231750,13,0,8539,8539,10,2250,36.52555466,36.52555466,0,36.52555466,0,365.2555466 +8540,MN,585,12,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,482 HUDSON STREET,C1-6, , , , , , , , , ,N,D4,3,0,P,2 GROVE ST APARTMENT,5337,24192,0,24192,0,0,0,0,0,0,2,1,6,36,36,73.42,100,69,100, ,1,Y,3,2,338850,2690100,28320,28320,1940,0,0,Greenwich Village Historic District, ,4.53,3.44,2,6.5,1,1005850012,0,73,982520,206045,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,365.0266683,5979.026543,2351250,9,0,8540,8540,25,5625,19.35111046,20.42888832,1.077777863,19.43546608,0.286139944,485.886652 +8541,MN,642,7502,102,79,1010,2,3,10014,L005,6,15,6100,3,2, ,99 JANE STREET,C6-2A, , , , , , , , , ,N,R4,3,0, , ,34917,147927,19630,128297,0,0,19630,0,0,0,2,1,11,84,84,205.44,175.92,0,0, ,0,Y,0,5,3386256,21217953,246420,1294295,1997,0,0, , ,4.24,6.02,6,6.5,1,1006427502,1066,79,981868,208311,8b, ,103 014,10210,E-4,1006420014,12/20/1999,1,1,1,17V1.1,7,775.489788,35190.24858,17831700,8,1,8541,8541,155,34875,7.369999886,13.17666626,5.806666374,8.207571227,1.674643973,1272.17354 +8542,MN,924,64,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,320 2 AVENUE,R9A, , , , , , , , , ,N,C2,2,0,P,CHING KI NG,2167,7020,0,7020,0,0,0,0,0,0,2,1,5,6,6,21.67,100,22,75,E,3,N,5,5,97083,413383,0,0,1920,0,0, , ,3.24,7.52,0,7.52,1,1009240064,0,48,989079,207074,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,255.6215348,2335.366175,316300,5,0,8542,8542,11,2475,14.83555603,21.74333382,6.907777786,16.73672745,2.298615379,184.104002 +8543,MN,397,7502,103,30.02,1001,1,2,10009,E028,9,14,6600,3,3, ,240 EAST HOUSTON STREET,R8A, , , ,C2-5, , , , , ,N,RM,4,0, ,HOUSTON PLACE CONDOMI,7714,29536,7340,22196,0,7340,0,0,0,0,2,1,5,18,19,81,95.25,0,81, ,0,N,5,5,353250,4163401,11800,11800,1920,1988,0, , ,3.83,6,0,6,1,1003977502,628,3002,988173,202466,12c, ,102 012,10203, ,1003970003,12/21/1989,1, , ,17V1.1,7,357.1846434,8008.402461,3810150,1,0,8543,8543,35,7875,19.55999947,28.58777809,9.027778625,20.20359633,2.111534365,707.1258717 +8544,MN,579,47,102,37,3003,2,3,10013,E024,1,15,6800,1,2,1B,304 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,CORP OF TRINITY CHURC,37713,229720,229720,0,226720,3000,0,0,0,0,2,1,8,0,8,215.5,175,215.5,160, ,0,Y,3,2,3420000,25644150,0,0,1900,2011,2012, , ,6.09,0,10,10,1,1005790047,0,37,982299,203842,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,785.2249516,37983.67774,22224200,0,0,8544,8544,169,38025,16.11444283,19.65999985,3.545557022,17.68111732,0.343390126,2988.108828 +8545,MN,828,63,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,26 WEST 27 STREET,M1-6, , , , , , , , , ,N,D8,3,0, ,26 W. 27 REALTY LLC,2469,13825,500,13325,0,500,0,0,0,0,2,1,7,26,27,25,98.75,25,79, ,3,N,5,2,316350,1523250,0,745684,1925,1988,0,Madison Square North Historic District, ,5.6,0,10,10,1,1008280063,0,58,987076,210584,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,255.1907445,2613.176676,1206900,2,0,8545,8545,11,2475,42.13444519,42.78277969,0.648334503,42.19338469,0.186383065,464.1272316 +8546,MN,561,1,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,41 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,D4,3,0,P,29-45 TENANTS CORP,5625,38915,0,38915,0,0,0,0,0,0,2,1,12,26,26,51,104.5,51,87, ,2,Y,3,2,384750,3803400,39108,39108,1923,1983,0, , ,6.92,6.02,2,6.5,1,1005610001,0,59,985942,206029,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,366.5312692,5906.43931,3418650,8,0,8546,8546,28,6300,32.25444412,33.88000107,1.625556946,32.40507916,0.440361817,907.3422165 +8547,MN,753,6,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,359 WEST 29 STREET,C6-2A,R8B, , , , , , , , ,Y,C6,2,0, ,29 FLOWERS CORP,4345,13004,0,13004,0,0,0,0,0,0,2,2,7,13,13,44,98.75,44,80, ,3,Y,5,2,193950,977850,18880,18880,1921,1977,0, , ,2.99,6.02,6,6.5,1,1007530006,0,97,984802,212612,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,299.5581834,4597.611563,783900,6,0,8547,8547,22,4950,28.20800018,36.56999969,8.361999512,29.82638402,2.402171825,656.1804485 +8548,MN,280,32,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,57 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,BROADWAY LIBERTY CORP,1875,6283,3142,3140,0,1572,0,1570,0,0,2,1,4,2,4,25,75,25,75,E,3,N,5,2,114750,900900,0,0,1910,0,0, , ,3.35,3.44,6,6.5,1,1002800032,0,8,985536,199192,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,208.6243524,2048.825564,786150,16,0,8548,8548,8,1800,29.04899979,38.49222183,9.443222046,31.00115252,3.478604493,248.0092201 +8549,MN,827,64,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,30 WEST 26 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,"30W26 LAND, L.P.",6970,88000,88000,0,77000,11000,0,0,0,0,2,1,12,0,25,71.5,98.75,72,93, ,3,N,5,2,1629000,7657200,0,0,1909,1990,0, , ,12.63,0,10,10,1,1008270064,0,58,986886,210395,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,345.2229105,7217.608344,6028200,2,0,8549,8549,31,6975,38.00333405,44.35888672,6.355552673,38.60582856,1.663756238,1196.780685 +8550,MN,530,7503,102,55.02,1001,2,1,10012,L009,9,15,5700,2,2, ,47 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2700,15483,13554,1929,0,13554,0,0,0,0,2,1,7,1,2,27,100,27,90, ,0,N,0,5,135000,1393200,112500,1188000,1910,0,0,NoHo Historic District Extension, ,5.73,0,5,6.5,1,1005307503,1200,5502,986293,203962,12c, ,103 010,10207, ,1005300030,12/20/2001,1, , ,17V1.1,7,264.1204279,2799.671127,1258200,9,0,8550,8550,11,2475,43.14099884,44.71444321,1.573444366,43.28403924,0.452333452,476.1244316 +8551,MN,16,215,101,317.03,1000,2,1,10282,L010,1,15,8900,1,1,1A,345 CHAMBERS STREET,BPC, , , , , ,BPC, , , ,N,W1,8,0,O,NYC DEPT OF EDUCATION,60085,450000,450000,0,0,0,0,0,0,450000,2,1,10,0,1,371.69,245.91,371.69,245.91, ,0,Y,3,5,11340000,69304500,11340000,69304500,1989,0,0, , ,7.49,0,0,0,1,1000160215,0,31703,980413,200867,12a, ,101S094,10101, ,1000160003,5/10/1995,1,1,1,17V1.1,0,1113.640305,68034.03276,57964500,14,1,8551,8551,302,67950,9.771111488,16.57111168,6.800000191,10.46668806,0.670030815,3160.939795 +8552,MN,716,52,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,428 WEST 19 STREET,R8, , , , , , , , , ,N,O5,5,0, ,428 WEST 19TH LLC,4600,17940,17940,0,13455,4485,0,0,0,0,2,1,4,0,1,50,92,49,89, ,2,N,5,2,300150,1230300,0,0,1920,1989,0, , ,3.9,6.02,0,6.5,1,1007160052,0,89,982978,210489,8b, ,103 041,10302, ,0, ,1, , ,17V1.1,0,286.8409951,4631.601176,930150,7,1,8552,8552,21,4725,9.675999641,13.38177776,3.705778122,10.08257112,1.022175442,211.7339935 +8553,MN,194,14,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,36 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,36 WALKER STREET PROP,1883,8600,8600,0,0,5160,0,3440,0,0,2,1,5,0,5,25.08,75.08,25,75,E,3,N,5,2,96750,626850,0,0,1915,0,0,Tribeca East Historic District, ,4.57,6.02,6,6.5,1,1001940014,0,33,983161,201394,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,201.2215705,1811.668162,530100,14,0,8553,8553,9,2025,12.8255558,12.8255558,0,12.8255558,0,115.4300022 +8554,MN,629,38,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,73 8 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0,P,KEEL HOLDING LLC,2575,10300,2600,7700,0,2600,0,0,0,0,2,1,4,3,4,25.75,100,26,100,E,3,N,5,5,310028,706865,0,0,1910,2011,0,Greenwich Village Historic District, ,4,6.02,6,6.5,1,1006290038,0,77,983397,208713,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,260.165073,2635.861875,396837,8,0,8554,8554,11,2475,16.45777702,21.88355637,5.425779343,16.95102969,1.559801891,186.4613266 +8555,MN,398,26,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,192 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,192 EAST 3 REALTY LLC,2568,9270,0,9270,0,0,0,0,0,0,2,1,5,20,20,24.25,105.92,24,88, ,2,N,5,2,189000,696150,0,0,1900,1988,0, , ,3.61,4,0,4,1,1003980026,0,3002,988784,202576,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,266.931349,2749.584386,507150,1,0,8555,8555,12,2700,19.50600052,20.60666656,1.100666046,19.59772269,0.304208025,235.1726723 +8556,MN,923,56,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,314 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"RESTRICK, INGRID",1092,2880,0,2880,0,0,0,0,0,0,2,1,4,2,2,14,78,14,50, ,2,N,5,2,67755,135830,0,0,1901,0,0, , ,2.64,3,0,3,1,1009230056,0,48,989129,206813,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,186.5116535,1189.142431,68075,5,0,8556,8556,4,900,16.06999969,16.06999969,0,16.06999969,0,64.27999878 +8557,MN,191,18,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3A,23 AVENUE OF THE AMER,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,MATERA FAMILY LIMITED,4645,11700,8900,2800,4450,4450,0,0,0,0,2,1,3,2,10,56,100,56,100, ,3,Y,3,2,414450,1250100,0,0,1950,1989,1997, , ,2.52,6.02,6,6.5,1,1001910018,0,33,982726,201520,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,298.4501522,4975.175829,835650,14,1,8557,8557,24,5400,9.793333054,10.72222233,0.928889275,10.21463907,0.257621468,245.1513376 +8558,MN,764,7501,104,81,6000,2,3,10011,L012,10,15,5600,1,4, ,217 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,RM,4,0, ,SHARED EQUITIES,6000,18218,2548,15670,0,2008,0,224,0,316,2,2,5,22,26,50,120,0,120, ,0,N,5,5,357304,2342253,7080,7080,1930,1986,0, , ,3.04,6.02,6,6.5,1,1007647501,656,81,984148,208578,8d, ,103 032,10304, ,1007640028,10/24/1989,1, , ,17V1.1,7,361.7445343,6668.660802,1984950,7,0,8558,8558,29,6525,24.42199898,26.53000069,2.108001709,24.64949338,0.547011832,714.8353081 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LLC,1487,5465,1093,4372,0,1093,0,0,0,0,2,1,4,5,6,21.25,70,21,68,E,3,N,5,5,32960,109469,0,0,1900,1983,0, , ,3.68,4,0,4,1,1004340006,0,32,988223,204010,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,184.9323742,1515.842015,76509,12,0,8561,8561,6,1350,20.12299919,20.12299919,0,20.12299919,0,120.7379951 +8562,MN,372,68,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,264 EAST 2 STREET,R8A, , , ,C2-5, , , , , ,N,C1,2,0, ,"DANIELLE ASSETS, INC.",3937,17117,0,17117,0,0,0,0,0,0,2,1,6,24,24,41,105.92,41,90, ,2,Y,5,2,315000,1355400,0,0,1905,0,0, , ,4.35,6,0,6,1,1003720068,0,2202,989641,201972,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,297.5513297,4019.144401,1040400,1,0,8562,8562,18,4050,13.80700016,14.92777729,1.12077713,13.89196306,0.268030066,250.055335 +8563,MN,613,6,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,277 WEST 4 STREET,R6, , , , , , , , , ,N,S2,4,0, ,JANDALE REALTY INC,895,2364,780,1584,0,780,0,0,0,0,2,1,3,2,3,17.92,50,17.92,28, ,3,N,5,5,38123,86260,0,0,1910,0,0,Greenwich Village Historic 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AND CAROLE,1646,3040,0,2440,0,0,0,0,0,0,2,1,4,3,3,16.67,98.75,16.67,36, ,3,N,5,1,54371,102902,0,0,1901,0,0, , ,1.85,4,0,4,1,1007710012,0,87,984659,210291,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,235.7530383,1723.296614,48531,7,0,8582,8582,7,1575,21.99111176,24.87444496,2.883333206,23.01806423,1.089976088,161.1264496 +8583,MN,221,30,101,33,3002,2,1,10013,L008,1,15,7700,1,1,3B,200 HUDSON STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,REMAINDERMAN 200 HUDS,25415,328415,328415,0,277477,25143,0,25795,0,0,2,1,12,0,35,200.58,137.33,200,174, ,3,Y,3,2,2245500,33069600,0,0,1927,1982,0, , ,12.92,0,10,10,1,1002210030,0,33,982128,202657,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,663.6782612,25950.86296,30824100,0,1,8583,8583,115,25875,9.686666489,12.89444447,3.207777977,9.784766977,0.517541242,1125.248202 +8584,MN,631,46,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,519 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,HUDSON STREET EQUITIE,12399,39285,5700,33585,0,5700,0,0,0,0,2,5,5,90,96,106.5,105.33,27,80, ,3,Y,3,2,1624500,7757100,0,0,1888,1986,0,Greenwich Village Historic District, ,3.17,3.44,2,6.5,1,1006310046,0,75,982416,206666,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,464.9275397,13024.08238,6132600,9,0,8584,8584,57,12825,20.16444397,21.64666748,1.482223511,20.25802488,0.342964122,1154.707418 +8585,MN,876,33,106,50,1000,2,2,10010,E005,13,14,5300,1,6,1B,250 3 AVENUE,C1-9A, , , , , , , , , ,N,K4,4,0, ,"MICHLEE, INC C/O STEI",1650,5365,3300,2065,1650,1650,0,0,0,0,2,1,5,2,4,22,75,22,75, ,3,N,5,2,243000,695250,0,0,1960,0,0, , ,3.25,10,2,10,1,1008760033,0,50,988521,207910,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,200.6317758,1721.195018,452250,5,0,8585,8585,8,1800,24.27599907,24.27599907,0,24.27599907,0,194.2079926 +8586,MN,552,65,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,73 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,P2,8,0, ,"73 WASHINGTON PLACE,",2144,4502,1000,3502,0,0,0,0,0,1000,2,1,3.5,1,3,22,97.17,22,46, ,3,N,5,1,211500,474750,0,0,1900,1989,0,Greenwich Village Historic District, ,2.1,3.44,0,6.5,1,1005520065,0,65,984378,205996,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,239.5867276,2196.56167,263250,9,0,8586,8586,9,2025,17.50333405,17.50333405,0,17.50333405,0,157.5300064 +8587,MN,391,14,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,614 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,614-20 E 9TH ST HDFC,9750,33000,2000,31000,0,2000,0,0,0,0,2,4,5,31,37,100,118,25,64, ,0,Y,5,5,229950,1406250,229950,1016704,1910,1937,0, , ,3.38,4,0,4,1,1003910014,0,2602,989919,203658,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,484.2078736,12509.29918,1176300,12,1,8587,8587,58,13050,8.318888664,11.37666702,3.057778358,9.290298741,1.178313424,538.837327 +8588,MN,379,34,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,141 AVENUE D,R8A, , , ,C1-5, , , , , ,N,D5,3,0,P,139-141 AVENUE D L.P.,1534,9198,0,9198,0,0,0,0,0,0,2,2,6,15,15,22,69.67,22,69, ,0,N,5,5,207000,999000,207000,999000,1920,1998,0, , ,6,6,0,6,1,1003790034,0,28,991005,203306,12c, ,102 023,10202, ,1003790034,12/26/2002,1,1,1,17V1.1,0,320.2389975,5687.355522,792000,12,1,8588,8588,27,6075,7.409999847,12.63999939,5.229999542,8.485115087,1.92298116,229.0981073 +8589,MN,828,53,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,1155 BROADWAY,M1-6, , , , , , , , , ,N,H3,5,0, ,10 WEST 27TH STREET C,3050,52916,3000,0,0,3000,0,0,0,0,2,1,13,0,5,50.42,84,49,76, ,3,Y,3,2,1449000,5550300,0,0,1920,1988,1996,Madison Square North Historic District, ,17.35,0,10,10,1,1008280053,0,58,987255,210505,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,282.496802,4800.809345,4101300,2,0,8589,8589,23,5175,42.13444519,43.52000046,1.385555267,42.28415995,0.380428769,972.5356789 +8590,MN,910,58,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,206 EAST 30 STREET,R7B, , , , , , , , , ,N,S1,4,0, ,"YAMIN, MARTINA S.",1852,4356,1098,3258,0,1098,0,0,0,0,2,1,4,1,2,18.75,98.75,18.75,60, ,3,N,5,5,163109,179158,5690,5690,1901,0,0, , ,2.35,3,0,3,1,1009100058,0,70,989912,209896,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,237.9883993,1903.121742,16049,10,0,8590,8590,8,1800,34.37666702,35.80822372,1.431556702,34.61877823,0.479032004,276.9502258 +8591,MN,921,17,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,329 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,"329 EAST 14TH STREET,",2581,10688,2100,8588,0,2100,0,0,0,0,2,1,6,16,18,25,103.25,25,88, ,3,N,5,2,90000,1132650,0,0,1910,0,0, , ,4.14,4,2,4,1,1009210017,0,48,988812,205989,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,263.4109801,2639.562923,1042650,12,0,8591,8591,10,2250,22.90500069,24.97555542,2.070554733,23.24255619,0.696475808,232.4255619 +8592,MN,935,6,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,301 EAST 29 STREET,R8,C1-8, , , , , , , , ,Y,W8,8,0,P,CHURCHILL SCHOOL AND,13224,66996,66996,0,66996,0,0,0,0,0,2,1,7,0,1,146.83,198.58,123,97, ,3,Y,5,2,1827000,9350550,1827000,9350550,1941,1999,0, , ,5.07,6.02,0,6.5,1,1009350006,0,70,990499,209454,8d, ,104 010,10309, ,1009350006,10/5/1987,1, , ,17V1.1,0,503.5442315,13565.36692,7523550,10,0,8592,8592,61,13725,30.87299919,35.53222275,4.659223557,30.99685353,0.691385117,1890.808065 +8593,MN,646,1,102,79,1001,2,3,10014,L005,6,15,6100,1,2,3B,40 10 AVENUE,M1-5, , , , , , , , , ,N,E1,6,1,P,40-56 TENTH AVENUE VE,23541,9600,9600,0,0,0,0,0,9600,0,2,4,3,0,1,206.5,153,80,80, ,0,N,3,5,1200600,1221300,0,0,1900,0,2016, , ,0.41,0,5,6.5,1,1006460001,0,79,981992,209457,8b, ,103 039,10210,E-344,1006460001,10/5/2011,1, ,1,17V1.1,0,729.8865748,24571.14336,20700,8,1,8593,8593,111,24975,9.954443932,10.90888882,0.954444885,10.09602622,0.188869859,1120.658911 +8594,MN,303,35,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,125 CANAL STREET,C6-1G, , , , , , , , , ,N,H3,5,0, ,CANAL BRIDGE REALTYIN,3782,22740,3675,0,0,3675,0,0,0,0,2,1,6,0,40,75,49.92,75,50, ,2,N,3,2,517500,3032550,0,0,1940,1986,0, , ,6.01,3.44,6,6.5,1,1003030035,0,16,985581,200163,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,262.8986751,4153.697061,2515050,0,0,8594,8594,18,4050,41.4129982,52.55333328,11.14033508,42.0319057,2.551821014,756.5743027 +8595,MN,201,16,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,172 1/2 CANAL STREET,C6-1G, , , , , , , , , ,N,O2,5,0, ,83 HENRY REALTY CORP,800,2238,2238,0,2238,0,0,0,0,0,2,1,3,0,1,15.92,50,16,50,E,3,Y,5,0,99450,568800,0,0,1920,0,0, , ,2.8,3.44,6,6.5,1,1002010016,0,29,984952,200313,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,137.3350636,823.2939032,469350,14,0,8595,8595,4,900,33.0379982,33.0379982,0,33.0379982,0,132.1519928 +8596,MN,64,4,101,15.02,1008,2,1,10038,E004,1,15,7700,1,1,1B,55 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,MAZEL 24 LLC,971,4579,4579,0,1215,2704,0,660,0,0,2,1,4,0,3,20.5,39.25,20.5,39.25, ,0,Y,3,5,269100,632700,0,0,1925,0,0, , ,4.72,10,15,15,1,1000640004,0,1502,981740,197607,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,134.131729,1047.845347,363600,4,0,8596,8596,5,1125,23.83777809,24.73500061,0.897222519,24.4257782,0.386774711,122.128891 +8597,MN,806,13,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,135 WEST 30 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,COURTYARD NEW YORK MA,9974,121000,0,0,0,0,0,0,0,0,2,1,22,0,1,101,98.75,101,98.75, ,3,N,5,2,1800000,28030050,0,0,2012,0,0, , ,12.13,0,10,10,1,1008060013,0,101,986685,211866,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,406.3241788,10317.82679,26230100,6,0,8597,8597,46,10350,37.55799866,38.81000137,1.252002716,37.61136586,0.250366724,1730.122829 +8598,MN,613,62,102,71,4000,2,3,10014,Q018,6,15,6100,1,2,2K,173 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K2,5,0,P,"173 7TH AVE SO., LLC",1450,2170,2170,0,0,2170,0,0,0,0,2,2,2,0,1,70.25,45.58,47,40,E,0,Y,5,5,281250,634050,0,0,1915,0,0,Greenwich Village Historic District, ,1.5,3.44,2,6.5,1,1006130062,0,71,983913,207408,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,182.9142547,1508.260111,352800,8,0,8598,8598,7,1575,23.14333344,23.14333344,0,23.14333344,0,162.003334 +8599,MN,258,1,103,2.01,2000,1,1,10002,E015,7,14,8000,1,3,1B,318 CHERRY STREET,R7-2, , , , , , , , , ,N,D3,3,0,O,NYC CITY HSG AUTRHORI,176820,431685,0,431685,0,0,0,0,0,0,2,4,16,492,492,435.08,418.17,124.75,114.25, ,0,Y,5,5,5171850,18612000,5171850,18612000,1955,0,0, , ,2.44,3.44,0,6.5,1,1002580001,0,201,988156,198788,12d, ,101N057,10106, ,0, ,1, , ,17V1.1,0,1684.462276,173790.7122,13440200,16,0,8599,8599,771,173475,19.1400013,33.97000122,14.82999992,25.4241745,3.109270058,19602.03854 +8600,MN,416,7501,103,36.01,1001,1,1,10002,L018,5,14,6500,2,3, ,151 ALLEN STREET,C4-4A, , , , , , , , , ,N,RM,4,0, ,JACKSON MAK/REV TRUST,3671,13672,1397,12275,0,1397,0,0,0,0,2,1,5,31,34,41.54,88.37,0,0, ,0,N,5,5,274502,1415252,5308,21618,1900,0,0, , ,3.72,4,4,4,1,1004167501,796,3601,987039,201924,12c, ,102 002,10204, ,1004160029,12/6/1991,1, , ,17V1.1,7,266.1601378,3832.434429,1140750,13,0,8600,8600,17,3825,37.29800034,39.55111313,2.253112793,37.46512469,0.532993165,636.9071198 +8601,MN,416,7502,103,36.01,1001,1,1,10002,L018,5,14,6500,2,3, ,62 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,3313,16230,7566,8664,2661,2747,0,2158,0,0,2,1,8,12,17,44.17,75,44,74.83, ,0,N,0,5,229500,1456647,2360,2360,2003,0,0, , ,4.9,4,4,4,1,1004167502,1494,3601,986995,201877,12c, ,102 002,10204, ,1004160034,12/16/2005,1, , ,17V1.1,7,243.0259085,3412.879412,1227150,13,0,8601,8601,16,3600,37.29800034,38.22177887,0.923778534,37.35573649,0.22361118,597.6917839 +8602,MN,441,7503,103,34,4000,1,2,10009,L011,9,14,6200,4,3, ,421 EAST 13 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,16131,74269,1391,72878,0,1391,0,0,0,0,2,1,8,96,97,25,206.5,139.5,206.6, ,0,Y,0,5,1400400,9941400,0,3602068,2006,0,0, , ,4.6,4,2,4,1,1004417503,1766,34,989299,205388,12c, ,102 028,10205, ,1004410017,11/13/2007,1, , ,17V1.1,7,705.3507841,16947.57696,8541000,12,0,8602,8602,74,16650,16.39666748,19.31500053,2.918333054,17.11340837,0.624189542,1266.39222 +8603,MN,860,22,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,119 MADISON AVENUE,C5-2, , , , , , , , , ,N,D7,4,0,P,THE NOMAD LAND COMPAN,10850,111457,6000,105457,0,6000,0,0,0,0,2,1,12,102,111,96.25,110,92,110, ,2,Y,3,0,2389500,9488700,0,0,1938,0,0, , ,10.27,10,10,10,1,1008600022,0,74,988580,210814,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,461.2077969,10751.47263,7099200,10,0,8603,8603,47,10575,37.50888824,37.73555756,0.226669312,37.51446752,0.032999107,1763.179974 +8604,MN,846,7501,105,52,2003,2,2,10003,E014,13,15,5700,1,5, ,5 EAST 17 STREET,M1-5M, , , , , , , , , ,N,RM,4,0, , ,5845,49609,15841,33768,5628,5628,0,4585,0,0,2,1,8,6,8,37.5,184,0,0, ,0,Y,5,5,204883,3757318,0,0,1920,2001,0,Ladies' Mile Historic District, ,8.49,0,5,6.5,1,1008467501,1146,52,986628,208126,8d,Y,102 044,10306, ,1008460006,12/20/2000,1, , ,17V1.1,7,465.8874266,6296.108249,3552440,7,0,8604,8604,28,6300,39.36555481,39.62766647,0.262111664,39.37491594,0.048641863,1102.497646 +8605,MN,426,46,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,6 RIVINGTON STREET,C6-1, , , , , , , , , ,N,C6,2,0,P,SIX RIVINGTON ST CORP,2394,10138,0,10138,0,0,0,0,0,0,2,2,5,6,6,24,100,24,100, ,0,Y,5,5,55750,215920,29082,29082,1900,0,0, , ,4.23,3.44,6,6.5,1,1004260046,0,3601,986243,202187,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,257.0075087,2549.902399,160170,13,0,8605,8605,10,2250,41.51444626,41.51444626,0,41.51444626,0,415.1444626 +8606,MN,414,28,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,284 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,YECO REALTY CORP,4068,15243,1123,14120,0,1123,0,0,0,0,2,1,6,20,22,46.25,102.08,46,86, ,3,Y,5,2,220950,930600,0,0,1900,0,0, , ,3.75,4,4,4,1,1004140028,0,18,986667,201097,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,298.9447575,4080.407895,709650,13,0,8606,8606,18,4050,37.8544426,41.79999924,3.945556641,40.03687647,1.745307312,720.6637764 +8607,MN,409,41,103,18,2001,2,1,10002,E015,7,14,7400,1,3,2B,92 LUDLOW STREET,C6-1, , , , , , , , , ,N,K1,5,0, ,92 LUDLOW OWNER LLC,3372,5930,5930,0,0,3389,0,0,0,2541,2,1,1,0,1,38.5,87.58,39,85, ,3,N,5,2,150300,621450,0,0,1920,1987,2008, , ,1.76,3.44,6,6.5,1,1004090041,0,18,987310,201004,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,257.9246025,3473.292544,471150,13,0,8607,8607,16,3600,32.20777893,33.82489014,1.617111206,32.30884838,0.391440298,516.9415741 +8608,MN,385,55,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,230 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,230 E. 2ND ASSOCIATES,2543,9049,0,9049,0,0,0,0,0,0,2,1,6,24,24,24,105.92,24,73, ,3,N,5,2,202500,1020150,0,0,1910,1985,0, , ,3.56,4,0,4,1,1003850055,0,2202,989172,202237,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,265.315348,2613.16229,817650,1,0,8608,8608,11,2475,16.86222267,16.86222267,0,16.86222267,0,185.4844494 +8609,MN,642,38,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,783 WASHINGTON STREET,C4-4A, , , , , , , , , ,N,A5,1,0,P,SEAN MACPHERSON,1400,2100,0,2100,0,0,0,0,0,0,2,1,3,1,1,25,56.42,25,42, ,3,Y,3,2,56835,188602,0,0,1910,2003,0,Greenwich Village Historic District, ,1.5,4,4,4,1,1006420038,0,79,982050,208236,8b, ,103 014,10210,E-149,0, ,1, ,1,17V1.1,0,172.0504324,1597.027841,131767,8,1,8609,8609,8,1800,10.79777813,11.17411137,0.376333237,10.89045858,0.160551773,87.12366867 +8610,MN,575,72,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,45 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0,P,45 WEST 11TH STREET,4715,27308,0,27308,0,0,0,0,0,0,2,2,8,34,34,45.67,103.25,46,88, ,3,N,5,2,364050,2928600,33040,33040,1846,1996,0,Greenwich Village Historic District, ,5.79,2.43,0,4.8,1,1005750072,0,63,985162,207049,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,305.3907603,4925.903383,2564550,8,0,8610,8610,21,4725,24.42399979,24.42399979,0,24.42399979,0,512.9039955 +8611,MN,400,20,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,528 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"528 EAST 5TH STREET,",1859,5340,0,5340,0,0,0,0,0,0,2,1,4,8,8,19.33,96.17,19,79,E,2,Y,5,2,20241,90073,0,0,1900,0,0, , ,2.87,3,0,3,1,1004000020,0,32,988900,203098,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,233.3314222,1968.044184,69832,1,0,8611,8611,8,1800,15.8922224,17.08500099,1.192778587,16.19986117,0.428804075,129.5988894 +8612,MN,597,33,102,37,1013,2,3,10013,E024,1,15,6800,1,2,1B,307 SPRING STREET,M1-6, , , , , ,HSQ, , , ,N,C7,4,0,P,"D & D REALTY COMPANY,",2500,8533,2500,6033,0,2500,0,0,0,0,2,2,5,8,9,25,100,25,98, ,3,N,5,2,39940,224491,0,0,1900,0,0, , ,3.41,0,10,10,1,1005970033,0,37,981909,203832,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,258.2870734,2654.702838,184551,0,1,8612,8612,11,2475,13.17199993,13.17199993,0,13.17199993,0,144.8919992 +8613,MN,525,5,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,179 SULLIVAN STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,LUPO LLC,2500,7150,1250,5900,0,0,0,0,0,1250,2,2,4,6,7,25,100,25,92, ,3,N,5,1,98202,555224,0,0,1900,1987,0,South Village Historic District, ,2.86,3.44,0,6.5,1,1005250005,0,65,984073,204575,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,258.0038915,2600.015127,457022,9,0,8613,8613,11,2475,23.62666702,23.62666702,0,23.62666702,0,259.8933373 +8614,MN,438,41,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,273 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,273 E 10TH LLC,2369,9073,1814,7259,0,1814,0,0,0,0,2,1,5,17,19,25,94.75,25,70, ,3,N,5,2,183150,858150,0,0,1900,1988,0, , ,3.83,4,0,4,1,1004380041,0,34,988996,204636,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.8479695,2513.362324,675000,12,0,8614,8614,11,2475,17.98900032,19.37666702,1.387666702,18.36354568,0.532282297,201.9990025 +8615,MN,75,7502,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1, ,28 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,OWNER / AGENT,2096,6950,1900,5050,0,1900,0,0,0,0,2,1,4.5,3,4,21,97,21.08,88, ,0,Y,5,5,126880,697593,0,0,1938,0,0, , ,3.32,10,10,10,1,1000757502,102,1502,982835,197243,12b, ,101S012,10102, ,0, ,1,1,1,17V1.1,7,236.8845358,2018.135659,570713,4,1,8615,8615,8,1800,13.35599995,13.35599995,0,13.35599995,0,106.8479996 +8616,MN,64,7501,101,15.02,1009,2,1,10005,E004,1,15,7700, ,1, ,67 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,2102,19995,2908,17087,0,1401,0,0,0,1507,2,1,19,14,16,21.58,98.5,21,94, ,3,Y,0,5,513000,2865601,0,964777,1920,0,0, , ,9.51,10,15,15,1,1000647501,2354,1502,981527,197608,12b, ,101S011,10102, ,1000640010,4/15/2013,1, , ,17V1.1,7,249.6254358,2257.559667,2352600,0,0,8616,8616,9,2025,29.95899963,29.95899963,0,29.95899963,0,269.6309967 +8617,MN,607,55,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,119 WEST 11 STREET,R6, , , , , , , , , ,N,S3,4,0, ,"MILEA, ANTHONY C MD",2272,4972,1738,3234,1738,0,0,0,0,0,2,1,4,3,4,22,103.25,22,65,E,3,N,5,5,140646,321464,2360,2360,1900,0,0,Greenwich Village Historic District, ,2.19,2.43,0,4.8,1,1006070055,0,71,984521,207407,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,250.582377,2234.118175,180818,8,0,8617,8617,10,2250,21.80333328,22.10666656,0.303333282,21.86099987,0.115528107,218.6099987 +8618,MN,163,8,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,24 PELL STREET,C6-1, , , , , , , , , ,N,K4,4,0,P,FOUR BROTHERHOOD SOC,2350,6490,6490,0,4330,2160,0,0,0,0,2,1,3,0,4,25,97.58,25,94, ,3,Y,5,2,197100,716850,0,0,1915,0,0, , ,2.76,3.44,6,6.5,1,1001630008,0,29,984758,199778,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,245.7032234,2449.777705,519750,14,0,8618,8618,11,2475,33.5909996,33.5909996,0,33.5909996,0,369.5009956 +8619,MN,501,4,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,419 WEST BROADWAY,M1-5A, , , , , , , , , ,N,C6,2,0, ,419-421 WEST BROADWAY,2500,13625,900,12725,0,900,0,0,0,0,2,1,6,5,6,25,100,25,96, ,3,N,5,2,247144,799961,4851,4851,1900,2005,0,SoHo-Cast Iron Historic District, ,5.45,0,5,6.5,1,1005010004,0,49,983904,203384,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,257.3654858,2647.628748,552817,0,0,8619,8619,13,2925,15.00755596,15.00755596,0,15.00755596,0,195.0982275 +8620,MN,553,38,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,117 WAVERLY PLACE,R6, , , , , , , , , ,N,C4,2,0, ,KENNETH ROSENBLUM,2850,12205,0,12205,0,0,0,0,0,0,2,1,5,12,12,28.5,100,29,88, ,3,N,5,1,129150,1408500,0,0,1900,0,0,Greenwich Village Historic District, ,4.28,2.43,0,4.8,1,1005530038,0,63,984472,206239,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,260.2280319,2866.489407,1279350,8,0,8620,8620,12,2700,17.50333405,18.10599899,0.602664948,17.70422236,0.284098981,212.4506683 +8621,MN,284,16,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,189 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MDV REALTY CORP,1951,7824,1700,6124,0,1700,0,0,0,0,2,1,5,8,10,26.08,74,26,75, ,3,N,3,2,97461,367777,0,0,1900,0,0, , ,4.01,3.44,0,6.5,1,1002840016,0,6,987349,199393,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,219.4989334,2298.526494,270316,13,0,8621,8621,10,2250,20.93000031,24.82222176,3.892221451,21.72442226,1.534551607,217.2442226 +8622,MN,426,20,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,9 STANTON STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,9-11 STANTON STREET R,2500,9795,1700,8095,0,1700,0,0,0,0,2,1,5,18,20,25,100,25,85, ,3,N,5,2,315000,1085850,0,0,1900,1989,0, , ,3.92,3.44,6,6.5,1,1004260020,0,3601,986319,202482,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,257.4012167,2631.592292,770850,13,0,8622,8622,12,2700,41.51444626,44.58088684,3.066440582,42.0054458,1.099008875,504.0653496 +8623,MN,488,10,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,72 THOMPSON STREET,R7-2,M1-5A, , , , , , , , ,Y,C7,4,0, ,68-74 THOMPSON REALTY,4386,19002,3167,15835,0,3167,0,0,0,0,2,1,6,33,35,50.08,87.58,50,72, ,2,Y,5,2,531000,1966050,0,0,1910,2012,0,Sullivan-Thompson Historic District, ,4.33,3.44,0,6.5,1,1004880010,0,47,983476,203171,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,282.476091,4625.372993,1435050,0,1,8623,8623,22,4950,9.686666489,11.96077824,2.274111748,9.85380797,0.544618195,216.7837753 +8624,MN,641,50,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,72 JANE STREET,R6, , , , , , , , , ,N,B1,1,0, ,"GABEL, FREDERICK D JR",1133,2520,0,1890,0,0,0,0,0,0,2,1,3,2,2,14.17,80,14.17,50, ,3,N,5,1,45957,141654,0,0,1899,0,0,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1006410050,0,79,982329,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,193.8879759,1180.998824,95697,8,0,8624,8624,5,1125,12.27999973,13.76111126,1.481111526,12.67733326,0.576178562,63.3866663 +8625,MN,400,58,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,199 EAST 4 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,199-203 EAST FOURTH O,2404,7110,600,6510,0,600,0,0,0,0,2,1,5,9,10,25,96.17,25,55, ,3,N,5,2,24510,130398,0,0,1900,1987,2012, , ,2.96,3,0,3,1,1004000058,0,32,988688,203101,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,257.5835098,2594.778509,105888,1,0,8625,8625,12,2700,15.8922224,17.62555504,1.733332634,16.42014821,0.648524598,197.0417786 +8626,MN,501,20,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,115 WOOSTER STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,SCHUR MANAGEMENT CO.,12417,67636,12500,55136,0,12500,0,0,0,0,2,3,6,19,23,99.17,200,99,200, ,3,Y,4,2,2794500,8741250,0,0,1900,2014,2016,SoHo-Cast Iron Historic District, ,5.45,0,5,6.5,1,1005010020,0,49,984053,203461,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,610.3012805,12528.35209,5946750,0,0,8626,8626,56,12600,15.00755596,17.83122253,2.823666573,15.05797858,0.373944139,843.2468004 +8627,MN,33,1,101,7,1031,2,1,10005,L015,1,15,7700,1,1, ,77 WATER STREET,C6-9, , , , , ,LM, , , ,N,O4,5,0,P,WATER STREET FEE LLC,25779,541568,541568,0,541268,300,0,0,0,0,2,1,26,0,35,214.89,121.87,171,122, ,1,Y,1,2,14220000,75302100,0,6316200,1969,2008,0, , ,21.01,10,15,15,1,1000330001,0,7,981977,195845,12b, ,101S007,10101, ,0, ,1,1,1,17V1.1,0,691.6175385,27632.92482,61082100,17,1,8627,8627,123,27675,6.157777786,9.326666832,3.168889046,7.469214249,0.794991984,918.7133527 +8628,MN,164,25,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,51 MOTT STREET,C6-1, , , , , , , , , ,N,S4,4,0, ,51 MOTT CORP.,1250,5375,1075,4300,0,1075,0,0,0,0,2,1,5,4,5,25,50,25,43, ,3,N,5,5,152877,265473,0,0,1915,0,0, , ,4.3,3.44,6,6.5,1,1001640025,0,29,984587,199940,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,157.6747208,1331.151866,112596,14,0,8628,8628,5,1125,24.29500008,24.29500008,0,24.29500008,0,121.4750004 +8629,MN,772,37,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,215 WEST 22 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,"LONCAREVIC, BLOSSOM",1260,2448,0,2448,0,0,0,0,0,0,2,1,3,2,2,16,78.75,16,56, ,3,N,5,2,43103,97078,0,0,1901,0,0, , ,1.94,4,0,4,1,1007720037,0,91,985202,210272,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,190.1635654,1299.110019,53975,2,0,8629,8629,5,1125,22.16600037,26.08777809,3.921777725,22.95035591,1.56871109,114.7517796 +8630,MN,611,16,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,44 CHARLES STREET,C2-6, , , , , , , , , ,N,S2,4,0, ,AYWANA LLC,759,2275,975,1300,0,975,0,0,0,0,2,1,3,2,3,33.08,46.5,33.08,46.5, ,2,Y,3,4,31939,105585,0,0,1910,0,0,Greenwich Village Historic District, ,3,3.44,2,6.5,1,1006110016,0,73,983615,207028,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,147.5055257,900.6596322,73646,8,0,8630,8630,4,900,23.83777809,25.15999985,1.322221756,24.47666693,0.639661303,97.90666771 +8631,MN,437,7,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4B,160 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"160 FIRST AVENUE, LLC",2500,11343,1890,9453,0,1890,0,0,0,0,2,1,6,22,24,25,100,25,88, ,3,Y,5,2,234000,1165050,0,0,1900,0,0, , ,4.54,4,0,4,1,1004370007,0,34,988615,204686,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,254.4124353,2505.477303,931050,12,0,8631,8631,11,2475,17.51666641,17.51666641,0,17.51666641,0,192.6833305 +8632,MN,135,19,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,94 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,K4,4,0, ,JBM REALTY INC.,1858,9375,5625,3750,0,1875,0,3750,0,0,2,1,5,4,6,24.75,75.08,25,75, ,2,Y,5,2,134100,540900,0,0,1915,1985,0, , ,5.05,7.52,6,7.5,1,1001350019,0,21,982148,199603,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,203.6773055,1886.82417,406800,3,0,8632,8632,8,1800,31.34000015,32.66199875,1.321998596,32.49674892,0.43720994,259.9739914 +8633,MN,331,95,103,12,2003,1,1,10002,L018,7,14,7600,1,3,2B,21 COLUMBIA STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,63325,2750,0,0,0,0,0,0,0,0,2,1,2,0,0,435.25,145.42,0,80, ,0,Y,3,5,1984500,65116800,1984500,65116800,1950,0,0, , ,0.04,0,0,0,1,1003310095,0,12,989279,200092,12c,Y,101N082,10201, ,0, ,1, , ,17V1.1,0,1182.984395,66106.70075,63132300,13,0,8633,8633,293,65925,15.66666698,21.14999962,5.483332634,18.93350021,1.234367037,5547.515562 +8634,MN,405,46,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,533 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,C,HOUSING PRESERVATION,2581,11448,0,11448,0,0,0,0,0,0,2,1,6,14,14,25,103.25,25,88, ,2,N,5,2,58050,1122300,58050,1122300,1920,1987,0, , ,4.44,4,0,4,1,1004050046,0,34,989727,204522,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.9596597,2751.950724,1064250,12,0,8634,8634,12,2700,14.53999996,15.77666664,1.236666679,14.71861108,0.378662924,176.623333 +8635,MN,614,4,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,293 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"RESNICK, SCOTT N",2449,6970,0,6970,0,0,0,0,0,0,2,1,3,1,1,37.67,65,37.67,65, ,3,Y,5,5,465981,1008000,0,0,1920,2006,2007,Greenwich Village Historic District, ,2.85,2.43,0,4.8,1,1006140004,0,77,983287,207661,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,212.6586038,2572.009656,542019,8,0,8635,8635,12,2700,26.80333328,28.5288887,1.72555542,26.94712957,0.476918324,323.3655548 +8636,MN,699,26,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,509 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,S2,4,0, ,LEONARD A FORMATO,2468,7405,2468,4937,0,2468,0,0,0,0,2,1,3,2,3,25,98.75,25,98.75,E,2,N,5,5,7127,17714,0,0,1900,0,0, , ,3,7.52,6,10,1,1006990026,0,99,983456,212768,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,251.7487425,2660.485188,10587,2,1,8636,8636,12,2700,12.50699997,15.00111103,2.494111061,13.00941666,0.887975039,156.1129999 +8637,MN,310,10,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,54 LUDLOW STREET,C6-2, , , , , , , , , ,N,S9,4,0,P,310-10 LUDLOW CORP,1750,6160,2040,4120,0,2040,0,0,0,0,2,1,4,6,8,20,87.5,20,77,E,3,N,5,2,69658,184893,0,0,1910,0,0, , ,3.52,6.02,6,6.5,1,1003100010,0,16,987038,200309,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,222.4887655,1868.855872,115235,13,0,8637,8637,7,1575,34.98799896,34.98799896,0,34.98799896,0,244.9159927 +8638,MN,273,31,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,136 HENRY STREET,R7-2, , , , , , , , , ,N,M9,8,0,P,CHINESE MISSIONARY BA,2383,4224,4224,0,0,0,0,0,0,4224,2,1,3,0,1,23.83,100,24,54,E,3,N,5,2,145800,300600,145800,300600,1900,1987,0, , ,1.77,3.44,0,6.5,1,1002730031,0,6,986823,199083,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,253.001075,2436.387338,154800,16,0,8638,8638,9,2025,23.87533379,27.29222298,3.416889191,24.98362986,1.530727179,224.8526688 +8639,MN,884,22,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,127 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S5,4,0,P,HEIDE INC,1747,5669,2100,3569,0,965,0,0,0,1135,2,1,5,6,7,21.83,80,22,54, ,3,N,5,2,120944,573168,0,0,1930,1960,0, , ,3.24,6.02,6,6.5,1,1008840022,0,72,989239,209918,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,206.5794124,1778.858094,452224,11,0,8639,8639,9,2025,31.56888962,33.34000015,1.771110535,31.95092646,0.715144839,287.5583382 +8640,MN,518,43,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,132 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"SANCHEZ, MARIA DE FAT",1950,8200,1325,6875,0,1325,0,0,0,0,2,2,4,11,12,25,78,25,53, ,3,N,3,5,51300,994950,5130,5130,1900,2005,0,Sullivan-Thompson Historic District, ,4.21,3.44,0,6.5,1,1005180043,0,49,983600,204030,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,215.0182659,2173.69538,943650,9,0,8640,8640,9,2025,20.52111053,20.52111053,0,20.52111053,0,184.6899948 +8641,MN,237,26,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,129 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"NG, JOHN W",2550,9639,1928,7711,0,1928,0,0,0,0,2,2,5,19,21,25.5,100,25,50, ,3,Y,5,5,173250,571500,0,0,1900,1980,0, , ,3.78,6.02,6,6.5,1,1002370026,0,41,985052,200994,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,260.0313986,2688.321262,398250,0,0,8641,8641,12,2700,31.40799904,34.98333359,3.575334549,32.67839797,1.401642077,392.1407757 +8642,MN,823,7501,105,58,1009,2,3,10010,E014,13,15,5700,1,5, ,43 WEST 21 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, ,4321 REALTY CORP.,2469,8100,1709,6391,0,1709,0,0,0,0,2,1,5,3,4,25,98.75,25,98, ,0,N,5,5,157302,1308099,4720,4720,1920,0,0,Ladies' Mile Historic District, ,3.28,10,10,10,1,1008237501,1100,58,986317,209373,8d, ,102 042,10306, ,1008230015,12/24/1999,1, , ,17V1.1,7,249.8651956,2489.499395,1150800,7,0,8642,8642,11,2475,33.74333191,36.56933212,2.826000214,34.00024102,0.81241794,374.0026512 +8643,MN,460,39,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,75 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,75 SECOND AVENUE LLC,2000,5542,1600,3942,0,1600,0,0,0,0,2,1,4,4,5,20.08,100,20,73, ,3,Y,5,5,157768,213726,0,0,1900,1988,0,East Village/Lower East Side Historic Di, ,2.77,4,0,4,1,1004600039,0,38,987150,203992,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,247.2735412,2086.097656,55958,1,0,8643,8643,9,2025,35.65444565,35.65444565,0,35.65444565,0,320.8900108 +8644,MN,800,74,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,164 WEST 25 STREET,M1-6,C6-3X, , , , , , , , ,Y,L1,6,0, ,NELCO SEWING MACHINE,3835,44748,44748,0,42348,2400,0,0,0,0,2,1,12,0,19,38.83,98.75,39,90,E,2,N,5,2,679500,3268350,0,0,1918,1989,0, , ,11.67,0,10,10,1,1008000074,0,91,985808,210700,8d, ,105S011,10305,E-54,0, ,1, , ,17V1.1,0,285.5577721,4166.875409,2588850,2,0,8644,8644,18,4050,34.22700119,35.967556,1.74055481,34.32369868,0.398693963,617.8265762 +8645,MN,912,5,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,205 EAST 31 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,CHARLES E CLAYMAN,1150,2900,0,2900,0,0,0,0,0,0,2,1,4,3,3,18,50.75,18,35, ,3,Y,5,2,77191,132024,0,0,1901,0,0, , ,2.52,3,0,3,1,1009120005,0,70,990094,210243,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,151.6493519,1249.132848,54833,10,0,8645,8645,6,1350,26.45000076,28.4533329,2.003332138,26.862408,0.731984417,161.174448 +8646,MN,568,13,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,20 EAST 11 STREET,R7-2, , , , , , , , , ,N,D4,3,0, ,20 EAST 11 OWNERS COR,2371,6812,0,6812,0,0,0,0,0,0,2,1,5,9,9,25,94.83,25,65, ,3,N,5,1,127892,479494,0,0,1900,1988,0,Greenwich Village Historic District, ,2.87,3.44,0,6.5,1,1005680013,0,61,985847,206494,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,241.5048651,2369.999215,351602,8,0,8646,8646,10,2250,30.95599937,33.8651123,2.90911293,31.7980442,1.101092723,317.980442 +8647,MN,875,76,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,10 GRAMERCY PARK SOUTH,R7B, , , , , , , , ,LH-1,N,C6,2,0, ,10 GRAMERCY PARK INC,2454,7305,0,7305,0,0,0,0,0,0,2,1,4,7,7,26.67,92,27,64,E,3,N,5,1,193317,688176,0,0,1900,1988,2005,Gramercy Park Historic District, ,2.98,3,0,3,1,1008750076,0,50,987805,208097,8d,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,248.1854781,2554.071388,494859,5,0,8647,8647,12,2700,30.81999969,33.27666855,2.456668854,31.12611103,0.729785989,373.5133324 +8648,MN,743,19,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,339 WEST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,339 W 19TH STREET PAR,1397,4560,0,4560,0,0,0,0,0,0,2,1,3.5,6,6,21.83,64,21.83,38,E,0,N,5,5,89389,417033,0,0,1900,1975,0, , ,3.26,3,0,3,1,1007430019,0,89,983778,210202,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,174.9974414,1401.008926,327644,7,0,8648,8648,6,1350,15.57888889,17.96777725,2.388888359,16.0678889,0.872659565,96.40733337 +8649,MN,468,51,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,221 EAST 12 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"TWO TEN NET TEN,",2581,7530,0,7530,0,0,0,0,0,0,2,1,4,13,13,25,103.25,25,61, ,3,N,5,1,265950,904500,0,0,1920,1987,0, , ,2.92,4,0,4,1,1004680051,0,40,987889,205845,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,265.1343572,2800.312841,638550,12,0,8649,8649,13,2925,29.43199921,32.24222183,2.810222626,30.31309348,1.050196188,394.0702152 +8650,MN,590,76,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,7 JONES STREET,R6, , , ,C1-5, , , , , ,N,C5,2,0, ,"LL 7 JONES STREET, LL",2500,9785,0,9785,0,0,0,0,0,0,2,1,5,20,20,25.17,100,25,85, ,3,N,5,2,119250,1817100,0,0,1900,1985,0,Greenwich Village Historic District Exte, ,3.91,2.43,0,4.8,1,1005900076,0,67,983657,206100,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.0087806,2550.297583,1697850,9,0,8650,8650,13,2925,19.74111176,19.74111176,0,19.74111176,0,256.6344528 +8651,MN,521,67,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,296 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,O9,5,0, ,296 ELIZABETH ST. COR,1737,8899,6379,2520,4700,1679,0,0,0,0,2,1,5,4,12,23.17,76,23,73,E,3,N,5,2,195300,962550,0,0,1900,1988,0,Noho East Historic District, ,5.12,6.02,6,6.5,1,1005210067,0,5502,986177,203370,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,205.1421049,1848.548287,767250,9,0,8651,8651,9,2025,43.41222,43.41222,0,43.41222,0,390.70998 +8652,MN,349,37,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,148 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,F9,6,0,P,148 RIVINGTON STREET,10400,48616,48616,0,0,0,0,27816,20800,0,2,5,6,0,4,104,100,104,100,E,2,N,3,2,540000,2083050,0,0,1925,0,0, , ,4.67,4,0,4,1,1003490037,0,3001,988253,201391,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,417.1847635,10876.65416,1543050,13,0,8652,8652,50,11250,27.50444412,29.09166718,1.587223053,28.09015602,0.205063708,1404.507801 +8653,MN,181,7504,101,39,4004,2,1,10013,E007,1,15,7700,3,1, ,93 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RB,5,0, ,99 HUDSON STREET ASSO,10032,133010,133010,0,127235,5775,0,0,0,0,2,1,16,0,6,0.23,0,0,0, ,0,N,5,5,2205901,18390601,130624,1041271,1930,0,0,Tribeca West Historic District, ,13.26,6.02,6,6.5,1,1001817504,604,39,981735,201266,12a, ,101S037,10105, ,1001810022,2/11/1989,1, , ,17V1.1,7,403.6606416,10177.05879,16184700,14,0,8653,8653,44,9900,17.90666771,18.55111122,0.644443512,18.26583403,0.081871795,803.6966972 +8654,MN,889,65,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,231 LEXINGTON AVENUE,C1-9, , , , , , , , , ,N,D1,3,0, ,"ELLIANA LEX., LLC",2944,13614,0,13614,0,0,0,0,0,0,2,1,6,18,18,39.25,75,39,61, ,3,N,5,2,259200,1290150,0,0,1920,1985,0, , ,4.62,10,2,10,1,1008890065,0,72,989880,211082,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,243.973012,3394.543138,1030950,10,0,8654,8654,15,3375,31.66399956,39.98222351,8.318223953,32.29485893,2.059590327,484.422884 +8655,MN,506,44,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,9 VANDAM STREET,R7-2, , , ,C1-5, , , , , ,N,A5,1,0, ,9 VANDAM STREET ASSOC,2485,2188,0,2188,0,0,0,0,0,0,2,1,2.75,1,1,24.83,100.08,24.83,28, ,2,N,5,2,18532,114295,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,0.88,3.44,0,6.5,1,1005060044,0,37,983115,203963,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,252.79414,2465.228308,95763,0,0,8655,8655,11,2475,20.62700081,22.40788841,1.780887604,21.27143461,0.605275899,233.9857807 +8656,MN,435,52,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,101 EAST 7 STREET,R8B, , , , , , , , , ,N,M3,8,0,X,RC CHUR ST STANISLAUS,1966,4772,4772,0,0,0,0,0,0,4772,2,1,4,0,1,20.17,97.5,20,64, ,3,N,5,0,141300,372150,141300,372150,1920,0,0,East Village/Lower East Side Historic Di, ,2.43,4,0,4,1,1004350052,0,32,988452,204084,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,244.7012027,2063.43683,230850,12,0,8656,8656,9,2025,20.24200058,20.84444427,0.602443695,20.32701259,0.185929303,182.9431133 +8657,MN,569,5,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,49 5 AVENUE,R10,C6-1, , , , , , , , ,Y,D4,3,0, ,51 FIFTH AVENUE OWNER,8500,121128,3480,117648,3480,0,0,0,0,0,2,1,16,89,89,68,125,68,112, ,2,N,3,2,1368000,13660650,192300,192300,1929,1985,0, , ,14.25,10,0,10,1,1005690005,0,61,985815,206832,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,410.2208621,9644.058158,12292700,8,0,8657,8657,44,9900,31.75222206,34.90999985,3.157777786,32.2576007,0.948268436,1419.334431 +8658,MN,310,7,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,48 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,TIN FAT REALTY CORP,3507,15084,2000,13084,0,2000,0,0,0,0,2,1,6,27,29,40.08,87.5,40,72, ,3,Y,5,2,202500,409500,0,0,1900,0,0, , ,4.3,6.02,6,6.5,1,1003100007,0,16,987019,200262,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,261.485183,3629.687512,207000,13,0,8658,8658,16,3600,34.98799896,38.84555435,3.857555389,35.50269365,1.076087668,568.0430985 +8659,MN,800,57,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,130 WEST 25 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,25 BUILDING ASSOCIATE,4075,49237,49237,0,44007,5230,0,0,0,0,2,1,12,0,20,50,81.67,50,78, ,3,Y,5,0,756000,5064300,0,0,1910,1911,0, , ,12.08,0,10,10,1,1008000057,0,91,986119,210537,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,269.6219537,4241.790044,4308300,2,0,8659,8659,19,4275,33.84199905,39.23222351,5.390224457,34.37880626,1.567885025,653.197319 +8660,MN,898,22,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,239 EAST 17 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"ARMAO, MARGARET V",1794,3672,0,3672,0,0,0,0,0,0,2,1,4,1,1,17.25,104,17.25,54, ,2,N,5,2,87501,204240,0,0,1910,0,0,Stuyvesant Square Historic District, ,2.05,3,0,3,1,1008980022,0,48,988656,206964,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,251.471265,1870.53021,116739,5,0,8660,8660,8,1800,22.7840004,25.44444466,2.66044426,23.23869467,0.892939835,185.9095573 +8661,MN,230,4,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,319 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,CANAL MERCER CORP,2000,5325,2875,2450,1225,1650,0,0,0,0,2,3,4,1,3,19.5,98.75,20,93,E,3,Y,5,2,112500,626850,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,2.66,0,5,6.5,1,1002300004,0,47,983518,201700,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,239.6019526,1944.051077,514350,0,1,8661,8661,9,2025,11.39777756,11.39777756,0,11.39777756,0,102.579998 +8662,MN,146,7505,101,33,2011,2,1,10013,E007,1,15,7700,3,1, ,148 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,SUMMIT 148 DUANE LLC,3909,18436,4037,14399,0,4037,0,0,0,0,2,1,6,4,5,33.58,116.5,33,109,E,3,Y,0,2,444712,1056016,0,0,1930,0,0, , ,4.72,6.02,6,6.5,1,1001467505,2400,33,981970,200217,12a, ,101S017,10104, ,1001460014,3/20/2014,1, , ,17V1.1,7,306.8681089,3928.468637,611304,14,0,8662,8662,18,4050,16.87777901,19.60333252,2.725553513,17.13944552,0.750341037,308.5100193 +8663,MN,494,29,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,221 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0,P,MAJOR MOTT ST CORP,2504,9952,0,9952,0,0,0,0,0,0,2,1,5,11,11,25.25,99.17,25,58, ,3,Y,5,2,69750,1446750,0,0,1900,2015,0, , ,3.97,6.02,6,6.5,1,1004940029,0,43,985505,202433,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,253.6012803,2612.968493,1377000,0,0,8663,8663,12,2700,38.86500168,41.63444519,2.769443512,39.09578864,0.765433751,469.1494637 +8664,MN,584,42,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,45 MORTON STREET,R6, , , , , , , , , ,N,C4,2,0,P,LOROSS REALTY CORP,2155,8805,0,8805,0,0,0,0,0,0,2,1,5,10,10,28.92,93.33,29,86, ,3,Y,5,2,184953,555695,0,0,1926,1959,0,Greenwich Village Historic District, ,4.09,2.43,0,4.8,1,1005840042,0,67,982769,205602,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,232.6379575,2221.891683,370742,9,0,8664,8664,8,1800,16.16111183,17.75,1.588888168,16.43933392,0.537463063,131.5146713 +8665,MN,615,23,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,248 WEST 12 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"FALCONE , MIMI SHERAT",1539,3420,0,2565,0,0,0,0,0,0,2,1,3,2,2,19,81.5,19,35,E,3,Y,5,1,31191,143492,8450,8450,1899,0,0,Greenwich Village Historic District, ,2.22,2.43,0,4.8,1,1006150023,0,77,983536,207947,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,205.3993972,1562.982401,112301,8,0,8665,8665,7,1575,23.05999947,26.75888824,3.698888779,23.76269776,1.293593126,166.3388844 +8666,MN,792,50,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,122 WEST 17 STREET,C6-2A, , , , , , , , , ,N,P3,8,0, ,ST FRANCIS XAVIER ETA,7314,25732,25732,0,25732,0,0,0,0,0,2,1,6,0,2,79.42,92,79,82, ,3,N,5,2,1120500,1792800,0,0,1910,0,0, , ,3.52,6.02,6,6.5,1,1007920050,0,81,985115,208745,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,347.6845439,7501.671587,672300,7,0,8666,8666,34,7650,27.66555595,30.18333244,2.517776489,27.78145784,0.482245901,944.5695667 +8667,MN,878,46,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,158 EAST 23 STREET,C2-8A, , , , , , , , , ,N,S5,4,0, ,BLERU REALTY CORP,2469,6801,2400,4401,0,2400,0,0,0,0,2,1,4,5,6,25,98.75,25,98,E,3,N,5,5,341745,1110450,0,0,1910,1988,0, , ,2.75,10,2,10,1,1008780046,0,68,988734,208443,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,254.5445473,2478.54343,768705,11,0,8667,8667,10,2250,25.66200066,26.78888893,1.126888275,25.77468948,0.338066483,257.7468948 +8668,MN,147,11,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,149 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D7,4,0, ,DUANES FABS PROPERTIE,1263,6200,1240,4960,0,1240,0,0,0,0,2,1,5,4,6,25,50,25,50, ,3,Y,3,5,405279,666792,0,0,1915,2000,0,Tribeca South Historic District, ,4.91,6.02,6,6.5,1,1001470011,0,33,982003,200366,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,164.5135387,1500.930945,261513,14,0,8668,8668,7,1575,12.94333363,16.3955555,3.45222187,13.43650818,1.208026009,94.05555725 +8669,MN,379,11,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,404 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,TENANTS OF 404 E 10TH,2307,8675,500,8175,0,500,0,0,0,0,2,1,5,11,12,25,92.25,25,77, ,3,N,5,2,135000,819900,135000,656592,1900,1975,0, , ,3.76,4,0,4,1,1003790011,0,28,990575,203587,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,239.5228533,2397.484946,684900,12,1,8669,8669,11,2475,7.409999847,8.245554924,0.835555077,7.4859594,0.240205196,82.3455534 +8670,MN,526,59,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,180 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,BLEECKER 180 REALTY L,1647,5252,1632,3620,0,1632,0,0,0,0,2,2,4.5,4,5,21.83,75.42,22,44, ,3,Y,5,5,185201,388343,0,0,1900,1985,2013,South Village Historic District, ,3.19,3.44,0,6.5,1,1005260059,0,65,983969,204822,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,207.9896737,1809.859171,203142,9,0,8670,8670,8,1800,23.22699928,24.55333328,1.326334,23.70465231,0.617448057,189.6372185 +8671,MN,256,1,103,6,5002,1,1,10002,E015,7,14,7800,1,3,1B,300 CHERRY STREET,R7-2, , , , , , , , , ,N,D6,4,0,O,NYC CITY HSG AUTRHORI,294793,527043,2000,525043,0,2000,0,0,0,0,2,6,16,610,611,692,440,83,110, ,1,Y,3,5,8592300,22496850,8592300,22496850,1954,1989,0, , ,1.79,3.44,0,6.5,1,1002560001,0,6,987694,198729,12d, ,101N055,10106, ,0, ,1, ,1,17V1.1,0,3190.259681,287021.3665,13904600,16,1,8671,8671,1281,288225,11.04222202,25.63222313,14.59000111,16.9681423,2.809505686,21736.19029 +8672,MN,465,50,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,151 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,"SHOUT 1, LLC",5437,22336,3723,18613,0,3723,0,0,0,0,2,1,6,27,29,48,125,48,110, ,3,Y,5,2,882000,4252950,0,0,1900,0,0, , ,4.11,4,0,4,1,1004650050,0,40,987754,205102,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,357.878595,5917.317165,3370950,12,0,8672,8672,27,6075,31.03333282,32.48444366,1.45111084,31.08707767,0.274046018,839.3510971 +8673,MN,164,2,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,32 MULBERRY STREET,C6-1, , , , , , , , , ,N,C4,2,0,P,"FOOK LUK REALTY, INC",1704,7044,1200,5844,0,1200,0,0,0,0,2,1,5,8,9,20,86,20,85, ,3,Y,5,2,187076,521002,0,0,1915,0,0, , ,4.13,3.44,6,6.5,1,1001640002,0,29,984420,199626,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,218.9250041,1831.209821,333926,14,0,8673,8673,11,2475,20.62111092,20.62111092,0,20.62111092,0,226.8322201 +8674,MN,276,2,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,5 MONROE STREET,R7-2, , , , , , , , , ,N,M1,8,0, ,CHURCH OF ST JOSEPH,2643,11939,11939,0,0,0,0,0,0,11939,2,1,6,0,0,26.08,101.33,26.08,75, ,0,Y,5,5,186300,385650,0,0,1900,0,0, , ,4.52,3.44,0,6.5,1,1002760002,0,8,985275,198545,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,265.9128747,2930.971816,199350,16,0,8674,8674,12,2700,13.17555523,16.99333382,3.817778587,14.26259255,1.562856963,171.1511106 +8675,MN,830,54,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,1186 BROADWAY,M1-6, , , , , , , , , ,N,H3,5,0, ,LGF ENTERPRISES,15525,185000,27927,14270,0,7093,0,20834,0,0,2,1,13,30,36,105.75,176.17,106,175, ,3,Y,3,2,5625000,41369400,0,10512720,1905,1989,2008,Madison Square North Historic District, ,11.92,0,10,10,1,1008300054,0,76,987503,210942,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,535.1561315,16521.62183,35744400,11,0,8675,8675,74,16650,43.21222305,47.27222443,4.060001373,43.72623495,1.250464174,3235.741386 +8676,MN,574,9,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,70 WEST 11 STREET,R6, , , , , , , , , ,N,C4,2,0,P,70 WEST 11TH STREET L,3314,13700,0,13700,0,0,0,0,0,0,2,1,5,10,10,13.25,94.75,12,90, ,2,Y,5,1,185843,697730,0,0,1900,1987,0,Greenwich Village Historic District, ,4.13,2.43,0,4.8,1,1005740009,0,63,984855,207038,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,258.4381098,3323.255398,511887,8,0,8676,8676,15,3375,20.66300011,24.13299942,3.469999313,23.6951182,0.9275436,355.4267731 +8677,MN,452,54,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,205 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,D4,3,0, ,205 E 10TH ST OWNERS,5899,25818,0,25818,0,0,0,0,0,0,2,1,6,31,31,45,130.08,45,115, ,3,Y,5,2,354150,2829150,40026,40026,1920,1987,0, , ,4.38,4,0,4,1,1004520054,0,40,988097,205147,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,391.0671426,6125.033017,2475000,12,0,8677,8677,28,6300,22.86222267,27.3488884,4.486665726,23.05374643,0.842412916,645.5049 +8678,MN,717,64,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,440 WEST 20 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"MACMURRAY, HAZEL",1533,2880,0,2880,0,0,0,0,0,0,2,1,4,3,3,16.67,92,16.67,50,E,3,N,5,2,41461,129748,0,0,1901,2016,0,Chelsea Historic District, ,1.88,3,0,3,1,1007170064,0,89,982964,210774,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,220.3571625,1474.264979,88287,7,1,8678,8678,5,1125,9.621110916,11.86888886,2.247777939,10.33244438,0.920404324,51.66222191 +8679,MN,527,88,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,21 DOWNING STREET,R6, , , , , , , , , ,N,S3,4,0, ,THE PADDINGTON LLC,1138,3636,725,2911,0,725,0,0,0,0,2,1,4,3,4,16.25,70,16,70, ,3,N,5,5,110070,243596,0,0,1900,2015,0,Greenwich Village Historic District Exte, ,3.2,2.43,0,4.8,1,1005270088,0,67,983372,205111,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,178.5990374,1203.286124,133526,9,0,8679,8679,5,1125,15.38333321,15.38333321,0,15.38333321,0,76.91666603 +8680,MN,613,33,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,27 PERRY STREET,R6, , , , , , , , , ,N,B9,1,0, ,RUTH LLC,2008,3760,0,2660,0,0,0,0,0,0,2,1,3,2,2,25,80,25,53,E,3,Y,5,1,38003,163399,0,0,1910,1978,0,Greenwich Village Historic District, ,1.87,2.43,0,4.8,1,1006130033,0,73,983616,207374,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,216.944589,2091.212563,125396,8,0,8680,8680,9,2025,25.34199905,25.75222206,0.410223007,25.48950556,0.173833661,229.40555 +8681,MN,193,7505,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,37 WALKER STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,1148,7423,3254,4169,0,3254,0,0,0,0,2,1,6,2,4,0.02,0,0,0, ,0,N,5,5,64209,848070,0,0,1875,0,0,Tribeca East Historic District, ,6.47,6.02,6,6.5,1,1001937505,689,33,983116,201276,12a, ,101N046,10105, ,1001930027,11/15/1990,1, , ,17V1.1,7,205.0549512,1618.953201,783861,14,0,8681,8681,7,1575,13.68111134,15.55000019,1.868888855,13.94809546,0.653974869,97.63666821 +8682,MN,455,17,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,320 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C6,2,0, ,320 EAST 14TH STREET,2322,5265,1100,4165,0,1100,0,0,0,0,2,1,4,9,10,22.5,103.25,23,61,E,3,N,5,1,108936,377005,2360,2360,1920,1985,0, , ,2.27,4,2,4,1,1004550017,0,40,988618,205868,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,255.1997972,2372.983571,268069,12,0,8682,8682,11,2475,25.88899994,26.30666733,0.417667389,25.95346468,0.127006786,285.4881115 +8683,MN,345,9,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,168 ATTORNEY STREET,R7A,R8A, , , , , , , , ,Y,C4,2,0,P,LESPMHA HOUSING DEVEL,2900,11375,0,11375,0,0,0,0,0,0,2,1,5,10,10,33,100,25,75, ,0,Y,5,5,49523,452474,0,402951,1920,1993,0, , ,3.92,4,0,4,1,1003450009,0,2201,988941,201862,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,272.6222541,3059.13012,402951,1,0,8683,8683,14,3150,18.41222191,21.64333344,3.231111526,19.03495216,1.129428782,266.4893303 +8684,MN,280,1,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,23 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C4,2,0, ,J&T LLC.,2188,8665,0,8665,0,0,0,0,0,0,2,1,5,16,16,25,87.5,25,78, ,2,N,5,1,123750,354150,0,0,1900,0,0, , ,3.96,3.44,0,6.5,1,1002800001,0,8,985169,199056,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,234.397826,2391.927475,230400,16,0,8684,8684,12,2700,27.8318882,27.8318882,0,27.8318882,0,333.9826584 +8685,MN,910,2,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,417 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C5,2,0, ,EEL-KAM REALTY CO.,2750,12700,2000,10700,0,2000,0,0,0,0,2,1,5.5,16,17,25,110,25,97, ,3,N,5,2,337500,2225700,0,0,1930,1990,0, , ,4.62,10,2,10,1,1009100002,0,70,989799,209830,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,277.9226264,2859.699643,1888200,10,0,8685,8685,12,2700,34.88199997,38.17666626,3.29466629,35.381574,1.123652319,424.5788879 +8686,MN,282,3,103,8,6005,2,1,10002,E009,5,14,7800,1,3,1A,75 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K2,5,0,C,CITY OF NEW YORK,26533,35358,35358,0,0,35358,0,0,0,0,2,1,2,0,1,151.92,182.92,116.33,82.33, ,0,Y,5,5,1372500,9387900,1372500,9387900,2000,0,0, , ,1.33,3.44,6,6.5,1,1002820003,0,8,985911,199183,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,674.3423702,26604.18406,8015400,16,0,8686,8686,118,26550,34.39889145,38.56666565,4.1677742,36.83858393,0.997103047,4346.952904 +8687,MN,455,48,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,335 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,LEM LEE 13TH LIMITEDP,2925,10730,0,10730,0,0,0,0,0,0,2,1,5,15,15,28.33,103.25,28,90, ,3,N,5,2,225450,1392750,0,0,1910,0,0, , ,3.67,4,2,4,1,1004550048,0,40,988754,205671,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,272.8943089,3080.146537,1167300,12,0,8687,8687,13,2925,22.17099953,24.1400013,1.96900177,22.47136718,0.704454711,292.1277733 +8688,MN,384,25,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,241 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0,P,LES COALITION HOUSING,1775,7095,0,7095,0,0,0,0,0,0,2,1,5,10,10,25.33,68.83,25,55, ,3,Y,5,0,136080,603076,0,466614,1900,1996,0, , ,4,6,0,6,1,1003840025,0,2202,989230,202037,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,198.731236,1882.2372,466996,1,0,8688,8688,9,2025,17.33399963,18.01444435,0.680444717,17.48328357,0.231704571,157.3495522 +8689,MN,911,31,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,547 2 AVENUE,C1-8A, , , , , , , , , ,N,S4,4,0, ,547 SECOND AVE REALTY,1516,4024,1200,2824,0,1200,0,0,0,0,2,1,4,4,5,19.67,77,20,75,E,3,N,5,5,167391,387504,0,0,1910,1984,0, , ,2.65,7.52,2,7.5,1,1009110031,0,70,990386,209815,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,202.3412882,1720.024374,220113,10,0,8689,8689,7,1575,29.22888947,29.22888947,0,29.22888947,0,204.6022263 +8690,MN,816,75,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,60 WEST 15 STREET,C6-2A,C6-2M, , , , , , , , ,Y,D0,3,0, ,58-60 REALTY COMPANY,3309,19764,2573,17191,0,2573,0,0,0,0,2,1,6,5,6,33.67,103.25,33,103, ,3,Y,5,2,292936,1244336,8805,8805,1920,2009,0, , ,5.97,6.02,6,6.5,1,1008160075,0,54,985355,208028,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,282.823192,3523.412576,951400,7,0,8690,8690,16,3600,28.19599915,30.29999924,2.104000092,28.32749915,0.509297332,453.2399864 +8691,MN,97,35,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,230 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,S4,4,0,P,VJHC HOLDING CORP.,2465,11457,1800,9657,0,1800,0,0,0,0,2,1,5,4,5,34.75,69.5,35,70, ,3,Y,5,2,151830,760551,0,0,1900,1980,0,South Street Seaport Historic District, ,4.65,6.02,6,6.5,1,1000970035,0,1501,983663,197121,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,214.0163699,2531.494922,608721,4,1,8691,8691,11,2475,5.993332863,5.993332863,0,5.993332863,0,65.92666149 +8692,MN,461,46,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,221 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEAMAS REALTY LLC,2425,10688,0,10688,0,0,0,0,0,0,2,1,6,24,24,25,97,25,82, 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C",1741,4897,4897,0,2137,2760,0,0,0,0,2,1,4,0,3,17.5,98.75,18,94,E,3,N,5,2,441000,1161900,0,0,1910,1986,0, , ,2.81,10,10,10,1,1008340066,0,76,987863,211915,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,246.0826373,1763.119602,720900,10,0,8744,8744,7,1575,45.84899902,45.84899902,0,45.84899902,0,320.9429932 +8745,MN,859,5,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,1 EAST 29 STREET,C5-2, , , , , , , , , ,N,M3,8,0,X,THE CHURCH OF THE TRA,2469,5710,5710,0,0,0,0,0,0,5710,2,1,4,4,6,25,98.75,25,50,E,3,N,5,2,531000,1296450,531000,1296450,1915,0,0, ,RECTORY OF THE CHURCH OF THE TRANSF,2.31,10,10,10,1,1008590005,0,74,988073,210798,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,253.8491796,2449.717068,765450,11,0,8745,8745,10,2250,40.70700073,42.17666626,1.469665527,40.89004517,0.442156699,408.9004517 +8746,MN,336,17,103,12,1007,1,1,10002,L018,7,14,7600,1,3,2B,7 BIALYSTOKER PLACE,R8, , , , , , , , , ,N,M1,8,0,X,CONG BETH HAKNESSES,7373,7924,3962,3962,0,0,0,0,0,3962,2,1,1,0,1,73.58,100,56,86,E,2,Y,5,1,317700,838800,317700,838800,1920,0,0, ,BIALYSTOKER SYNAGOGUE,1.07,6.02,0,6.5,1,1003360017,0,12,988876,199971,12d,Y,101N081,10201, ,0, ,1, , ,17V1.1,0,350.8946947,7498.611007,521100,13,0,8746,8746,33,7425,24.11899948,30.89333344,6.774333954,24.88355521,1.566626697,821.1573219 +8747,MN,547,25,102,59,3003,2,1,10003,E033,6,15,5700,1,2,2A,21 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,2500,19936,19936,0,0,0,0,0,0,19936,2,1,8,0,1,25,100,25,100, ,3,N,3,2,416250,2065950,416250,2065950,1900,0,0, , ,7.97,3.44,0,6.5,1,1005470025,0,59,985623,205205,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,269.536534,2929.211039,1649700,9,0,8747,8747,12,2700,34.72000122,37.05666733,2.336666107,34.9147234,0.645820395,418.9766808 +8748,MN,306,8,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,76 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,76 FORSYTH STREET REA,2548,8335,1670,6665,0,1670,0,0,0,0,2,1,5,16,18,25.42,100.25,25,65, ,3,N,5,2,90000,516150,0,0,1900,0,0, , ,3.27,3.44,6,6.5,1,1003060008,0,16,986152,200573,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,256.3222187,2657.316634,426150,13,0,8748,8748,12,2700,37.59777832,39.88444519,2.28666687,38.11443551,0.82659746,457.3732262 +8749,MN,448,4,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,110 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,N2,8,0,X,HOPPER HOME LLC,3250,5476,5476,0,0,0,0,0,0,5476,2,1,3.5,0,1,26,125,26,99, ,3,N,5,1,351450,732600,351450,732600,1838,1988,0,East Village/Lower East Side Historic Di,RALPH AND ANN E. VAN WYCK MEAD HOUS,1.68,4,0,4,1,1004480004,0,38,987580,204341,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,305.7860945,3396.532892,381150,1,0,8749,8749,16,3600,27.1590004,35.53110886,8.372108459,28.05183363,2.401874145,448.8293381 +8750,MN,412,10,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,190 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,FLEMINGTON REGENCY,2189,7964,1500,6464,0,1500,0,0,0,0,2,1,5,17,19,25.08,87.5,25,61, ,3,N,5,2,155250,1305900,0,0,1900,1996,0, , ,3.64,4,4,4,1,1004120010,0,3001,987589,202346,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,229.9291982,2180.119366,1150650,1,0,8750,8750,8,1800,34.02799988,34.80333328,0.775333405,34.12491655,0.256417421,272.9993324 +8751,MN,758,7501,104,111,1003,2,3,10001,L021,14,15,5500,2,4, ,333 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,RB,5,0, , ,31818,286520,286520,0,286520,0,0,0,0,0,2,1,10,0,3,125.5,197.5,125.5,197.5, ,0,N,0,5,4950000,39336300,1881599,14952554,1954,1983,0, , ,9,10,10,10,1,1007587501,2151,111,985673,213704,8d, ,15N 031,10304, ,1007580016,7/25/2013,1, , ,17V1.1,7,802.4544288,33011.77726,34386300,6,0,8751,8751,139,31275,38.14200211,42.28222275,4.140220642,38.19552566,0.432354172,5309.178066 +8752,MN,610,30,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2B,39 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0,P,VILLAGE REALTY LLC,2400,10434,1200,9234,0,1200,0,0,0,0,2,1,6,22,23,32.08,74.83,32,62, ,3,Y,5,2,390600,2403000,0,0,1900,0,0,Greenwich Village Historic District, ,4.35,2.43,0,4.8,1,1006100030,0,73,983810,206681,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,211.712245,2297.261739,2012400,8,0,8752,8752,11,2475,20.06299973,20.06299973,0,20.06299973,0,220.692997 +8753,MN,609,23,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,120 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,P3,8,0,X,THE SALVATION ARMY,26122,182554,182554,0,182554,0,0,0,0,0,2,1,16,0,1,150.5,103.25,80,103,E,0,Y,5,2,4009500,13113900,4009500,13113900,1930,0,0,Greenwich Village Historic District, ,6.99,6.02,6,6.5,1,1006090023,0,71,984726,207964,12c,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,744.1942537,26903.41151,9104400,8,0,8753,8753,118,26550,25.65555573,30.49222183,4.836666107,25.85131181,0.901322646,3050.454794 +8754,MN,412,44,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,172 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,170-172 REALTY CORP,2215,8580,1716,6864,0,1716,0,0,0,0,2,1,5,8,9,24.75,89.5,25,72, ,3,N,5,2,102679,308458,0,0,1900,0,0, , ,3.87,4,4,4,1,1004120044,0,3001,987755,202143,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,232.3601555,2272.854069,205779,1,0,8754,8754,11,2475,30.23399925,32.90999985,2.676000595,30.92371681,1.131294363,340.1608849 +8755,MN,609,7502,102,71,1000,2,3,10011,Q018,6,15,6100,3,2, ,116 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,5163,47076,6340,40736,0,6340,0,0,0,0,2,1,12,19,20,50,103.25,0,0, ,0,N,0,5,614251,5967902,14160,14160,1912,0,0, , ,9.12,6.02,6,6.5,1,1006097502,965,71,984814,207974,12c, ,103 027,10209, ,1006090029,4/24/1997,1, , ,17V1.1,7,314.6411305,5390.665525,5353650,8,0,8755,8755,23,5175,25.65555573,27.62377739,1.968221664,25.74113058,0.401381648,592.0460033 +8756,MN,864,30,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,51 EAST 34 STREET,C5-2, , , , , , , , , ,N,C7,4,0, ,AUSTIN INTERNATIONALR,2469,5586,1500,4086,0,1500,0,0,0,0,2,1,5,8,10,25,98.75,25,96,E,3,N,5,2,81552,495380,0,0,1925,2005,0, , ,2.26,10,10,10,1,1008640030,0,74,989237,211672,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,258.0008487,2600.004821,413828,10,0,8756,8756,11,2475,59.29000092,60.8769989,1.586997986,60.73272636,0.456229843,668.0599899 +8757,MN,912,32,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,569 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0,P,IMPERIAL ESTATES INC,2314,8333,1300,7033,0,1300,0,0,0,0,2,2,4,12,14,32.5,100,15,45, ,3,Y,5,5,258750,1260000,0,0,1890,1989,0, , ,3.6,7.52,2,7.5,1,1009120032,0,70,990520,210066,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,268.4234875,2780.962848,1001250,10,0,8757,8757,12,2700,26.45000076,28.22777748,1.777776718,26.59814882,0.491351528,319.1777859 +8758,MN,461,49,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,215 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,TRES TWO,2425,9455,0,9455,0,0,0,0,0,0,2,1,5,10,10,25,97,25,78, ,3,N,5,2,37207,149087,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,3.9,4,0,4,1,1004610049,0,38,986952,204348,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.3024238,2528.802949,111880,1,0,8758,8758,12,2700,36.55199814,40.65000153,4.098003387,37.4298137,1.543331313,449.1577644 +8759,MN,19,18,101,13,2002,2,1,10006,E010,1,15,7700,1,1, ,81 GREENWICH STREET,C5-5, , , , , ,LM, , , ,N,S9,4,0, ,44 TRINITY PLACE LLC,1968,14250,4050,10200,0,4050,0,0,0,0,2,1,7,6,8,19.58,97.08,20,99, ,3,Y,4,1,359731,1187600,0,0,1900,0,0, , ,7.24,10,15,15,1,1000190018,0,13,980521,197073,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,242.2478335,1957.345457,827869,15,0,8759,8759,9,2025,14.27400017,14.27400017,0,14.27400017,0,128.4660015 +8760,MN,468,7,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,99 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,99-105 THIRD AVENUERE,5929,25000,4500,20500,0,4500,0,0,0,0,2,1,5,32,35,77,77,77,74, ,3,N,3,2,562500,4533750,0,0,1920,2007,2006, , ,4.22,6.02,6,6.5,1,1004680007,0,40,987707,206083,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,320.5963018,6423.792586,3971250,12,0,8760,8760,29,6525,28.72333336,37.01466751,8.291334152,30.35941703,2.327616312,880.4230938 +8761,MN,594,32,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,511 GREENWICH STREET,C6-2A, , , , , , , , , ,N,K1,5,0,P,PONTE EQUITIES INC,3056,2948,2948,0,0,2948,0,0,0,0,2,1,1,0,1,40.75,75,40.75,75, ,2,N,3,0,269100,691650,0,0,1910,1985,0, , ,0.96,6.02,6,6.5,1,1005940032,0,37,981792,203712,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,238.1533908,3263.395377,422550,0,1,8761,8761,16,3600,7.988888741,10.73333359,2.744444847,8.979763865,1.182001673,143.6762218 +8762,MN,426,33,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,189 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,K2,5,0, ,MADISON KYLE REALTY,2499,5116,5116,0,0,3416,0,1700,0,0,2,1,2,0,2,25,103,25,98,E,3,Y,5,0,168750,1507950,0,0,1920,2005,2005, , ,2.05,7.52,6,7.5,1,1004260033,0,3601,986390,202279,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,261.7178343,2643.158063,1339200,13,0,8762,8762,13,2925,41.51444626,41.51444626,0,41.51444626,0,539.6878014 +8763,MN,809,59,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,124 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,EMAZAL REALTY ASSOCIA,2469,9495,9495,0,1800,4695,0,3000,0,0,2,1,5,0,4,25,98.75,25,99,E,3,N,5,2,900000,9153450,0,0,1920,0,0, , ,3.85,10,15,15,1,1008090059,0,101,987271,212539,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,254.3629695,2447.877058,8253450,6,0,8763,8763,11,2475,41.24700165,43.96111298,2.714111328,41.73532486,1.035960414,459.0885735 +8764,MN,429,14,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,103 EAST 2 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"HARAMAH, INC.",3416,9792,1958,7834,0,1958,0,0,0,0,2,1,5,19,20,32.25,105.92,32,66, ,3,Y,5,2,225000,799650,0,0,1900,0,0, , ,2.87,4,0,4,1,1004290014,0,3002,987703,202871,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,265.3569675,2570.778641,574650,1,0,8764,8764,11,2475,28.19499969,29.50388908,1.308889389,28.49272711,0.502217323,313.4199982 +8765,MN,717,65,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,442 WEST 20 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,BEVILACQUA ELIZABETH,1533,3119,0,3119,0,0,0,0,0,0,2,1,4,3,3,16.67,92,16.67,50,E,2,N,5,2,60397,141654,0,0,1901,0,0,Chelsea Historic District, ,2.03,3,0,3,1,1007170065,0,89,982950,210782,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,224.7148763,1680.381334,81257,7,1,8765,8765,9,2025,9.621110916,11.50666618,1.885555267,10.20137035,0.762403122,91.81233311 +8766,MN,79,4,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1,1B,79 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,D6,4,0, ,LEXIN NASSAU PARTNERS,5320,30400,5000,25400,0,5000,0,0,0,0,2,1,6,41,43,51.25,105.95,51,108, ,3,Y,5,2,891000,3246300,0,0,1910,2002,2002, , ,5.71,10,15,15,1,1000790004,0,1502,981951,197943,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,318.721207,5383.405043,2355300,0,0,8766,8766,24,5400,31.21700096,32.67788696,1.460886002,31.27787121,0.291923464,750.6689091 +8767,MN,780,15,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,243 WEST 30 STREET,M1-5, , , , , , , , , ,N,O6,5,0,P,243 WEST 30TH REALTY,3707,42327,42327,0,39027,3300,0,0,0,0,2,1,12,0,16,37.5,98.75,38,99, ,0,N,5,5,292500,3257100,0,0,1925,1989,0, , ,11.42,0,5,6.5,1,1007800015,0,101,985932,212277,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,281.3229331,3931.339091,2964600,6,0,8767,8767,18,4050,31.09600067,31.37555504,0.279554367,31.11153147,0.064035121,560.0075665 +8768,MN,921,4,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,236 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,W8,8,0,X,FUNCTIONAL LIFE ACHIE,2950,12000,12000,0,0,0,0,0,0,12000,2,1,4,0,1,25,118,25,85, ,2,N,5,1,549000,1134900,549000,1134900,1920,2011,2011, , ,4.07,4,2,4,1,1009210004,0,48,988573,206139,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,291.944833,2990.624638,585900,5,0,8768,8768,12,2700,22.90500069,28.58222198,5.677221298,23.84088039,1.787685543,286.0905647 +8769,MN,911,28,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,249 EAST 30 STREET,C1-8A, , , , , , , , , ,N,D5,3,0,P,249 EAST 30TH LLC,2271,11044,0,11044,0,0,0,0,0,0,2,1,7,12,12,23,98.75,23,81, ,3,N,5,1,337500,1615500,0,0,1917,1996,0, , ,4.86,7.52,2,7.5,1,1009110028,0,70,990341,209838,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,243.7993588,2120.994489,1278000,10,0,8769,8769,9,2025,29.22888947,31.4766674,2.247777939,29.47864257,0.706408455,265.3077831 +8770,MN,797,7504,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,136 WEST 22 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,4115,27467,2653,24814,0,2653,0,0,0,0,2,1,10,8,9,41.67,98.75,40,80, ,0,N,0,5,166532,3181493,56527,489860,1908,0,0, , ,6.67,7.52,6,7.5,1,1007977504,1216,87,985663,209851,8d, ,103 030,10305, ,1007970063,2/21/2002,1, , ,17V1.1,7,281.326017,4126.718205,3014960,7,0,8770,8770,19,4275,28.16444397,28.92477798,0.760334015,28.20446155,0.169780212,535.8847694 +8771,MN,471,17,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,171 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"171 MULBERRY ,LLC C/O",2500,11841,2200,9641,0,2200,0,0,0,0,2,1,6,10,11,25.17,101.5,25,88, ,3,Y,5,2,112500,1423800,0,0,1900,1989,0, , ,4.74,6.02,6,6.5,1,1004710017,0,41,985000,201613,12c, ,101N074,10206, ,0, ,1, , 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,17V1.1,0,242.7259561,2373.175951,1021950,9,0,8773,8773,10,2250,15.38333321,15.38333321,0,15.38333321,0,153.8333321 +8774,MN,910,37,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,248 EAST 30 STREET,C1-8A, , , , , , , , , ,N,C0,2,0, ,"248 EAST 30TH STREET,",1547,3010,0,3010,0,0,0,0,0,0,2,1,4,3,3,17.5,88.42,17.42,50,E,3,N,5,2,72083,126742,0,0,1920,0,0, , ,1.95,7.52,2,7.5,1,1009100037,0,70,990280,209698,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,211.3684201,1464.269221,54659,10,0,8774,8774,6,1350,34.37666702,35.40999985,1.033332825,34.54888916,0.385100407,207.293335 +8775,MN,592,79,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,123 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,A4,1,0, ,"SANZ, ROCIO",2134,4700,0,4700,0,0,0,0,0,0,2,1,3,1,1,22,97,22,65,E,3,N,5,2,91984,206003,0,0,1899,2014,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1005920079,0,71,983864,206329,12a, ,103 017,10208, ,0, ,1, , 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,17V1.1,0,1213.062436,81836.06619,12844800,13,0,8779,8779,361,81225,20.98666763,24.79222298,3.805555344,22.88017276,0.642709709,8259.742365 +8780,MN,344,139,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,66 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,L8,6,0,X,NEW LIFE ON THE LOWER,4087,4340,4340,0,500,0,0,3840,0,0,2,1,3,0,3,46.2,100,21,74, ,2,N,5,2,124650,443700,124650,443700,1910,1986,0, , ,1.06,4,0,4,1,1003440139,0,2201,988498,201351,12c, ,102 005,10201,E-216,1003440139,7/15/1994,1, , ,17V1.1,0,296.1428827,4143.214959,319050,1,0,8780,8780,18,4050,23.52111053,27.82666588,4.305555344,26.09461742,1.407639202,469.7031136 +8781,MN,237,22,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,137 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,HOP YIK REALTY CORP.,2472,8850,1770,7080,0,1770,0,0,0,0,2,1,5,8,10,25,100,25,54, ,3,Y,5,2,185068,523069,0,0,1920,1988,0, , ,3.58,6.02,6,6.5,1,1002370022,0,41,985093,201085,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,253.7308244,2508.11123,338001,0,0,8781,8781,10,2250,31.40799904,33.43777847,2.029779434,31.91237698,0.782238863,319.1237698 +8782,MN,391,57,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,303 EAST 8 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,303 EAST EIGHTH STRE,4157,18216,0,18216,0,0,0,0,0,0,2,1,6,12,12,48.5,93.92,49,78, ,2,Y,5,2,180000,1535850,14570,14570,1900,1987,2005, , ,4.38,4,0,4,1,1003910057,0,2602,989786,203633,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,291.441389,4527.286628,1355850,12,1,8782,8782,19,4275,8.318888664,8.318888664,0,8.318888664,0,158.0588846 +8783,MN,586,9,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,26 LEROY STREET,R6, , , , , , , , , ,N,C5,2,0,P,26 LEROY REALTY CORP,3000,11934,0,11934,0,0,0,0,0,0,2,1,6,24,24,37.5,80,38,65, ,3,N,5,2,289350,1150200,0,0,1907,1988,0,Greenwich Village Historic District Exte, ,3.98,2.43,0,4.8,1,1005860009,0,67,983227,205404,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,239.5978112,3077.830953,860850,9,0,8783,8783,13,2925,15.38333321,15.38333321,0,15.38333321,0,199.9833317 +8784,MN,592,49,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,168 WAVERLY PLACE,R6, , , , , , , , , ,N,C6,2,0, ,168-170 OWNERS CORP,1680,3696,0,3696,0,0,0,0,0,0,2,1,3,2,2,22.08,87.08,22,42, ,3,Y,5,1,116017,208158,0,0,1899,0,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1005920049,0,71,983792,206503,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,211.2752582,1789.274893,92141,9,0,8784,8784,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +8785,MN,78,41,101,15.02,1002,2,1,10038,E006,1,15,7700,1,1,1B,86A NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,86 1/2 NASSAU LLC,847,1600,1600,0,0,1600,0,0,0,0,2,1,2,0,2,16.58,51.5,17,52, ,3,Y,5,2,132750,335700,0,0,1940,0,0, , ,1.89,10,15,15,1,1000780041,0,1502,982087,197939,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,139.0710642,881.9672672,202950,4,0,8785,8785,4,900,34.06200027,35.64444351,1.582443237,34.45761108,0.685218022,137.8304443 +8786,MN,626,55,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,53 JANE STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,JJ VILLAGE PROPERTIES,1187,2850,0,2850,0,0,0,0,0,0,2,1,3,2,2,19.33,66,19,50,E,3,Y,5,1,53132,172584,0,0,1910,2010,0,Greenwich Village Historic District, ,2.4,3.44,2,6.5,1,1006260055,0,77,982839,208254,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,172.8867422,1299.323035,119452,8,0,8786,8786,5,1125,17.68444443,19.40666771,1.722223282,18.02888908,0.688889313,90.14444542 +8787,MN,417,64,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,181 ORCHARD STREET,C4-4A, , , , , , , , , ,N,K1,5,0, ,BELWIN LLC,2221,1900,1900,0,0,1900,0,0,0,0,2,1,1,0,2,25.33,87.67,25,49, ,3,N,5,2,157500,540450,0,0,1920,1969,0, , ,0.86,4,4,4,1,1004170064,0,3001,987426,202300,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,232.1626691,2317.475447,382950,1,0,8787,8787,9,2025,33.19499969,33.19499969,0,33.19499969,0,298.7549973 +8788,MN,460,133,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,246 EAST 5 STREET,R7A, , , ,C2-5, , , , , ,N,S1,4,0, ,"BONSIGNORE, JOHN",320,960,320,640,0,320,0,0,0,0,2,1,3,1,2,16,20,16,20, ,2,N,5,0,7108,19407,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3,4,0,4,1,1004600133,0,38,987177,204092,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,76.78581983,360.399245,12299,1,0,8788,8788,1,225,35.65444565,35.65444565,0,35.65444565,0,35.65444565 +8789,MN,470,2,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,154 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,ENGUM REALTY CORP,2366,9805,1570,8235,0,1570,0,0,0,0,2,1,5,16,18,25.17,94,25,85, ,1,Y,5,2,67950,1001700,0,0,1920,1981,0, , ,4.14,6.02,6,6.5,1,1004700002,0,41,985332,201357,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,245.2524308,2415.407841,933750,0,0,8789,8789,12,2700,28.80888939,32.91777802,4.108888626,29.15129677,1.135636823,349.8155613 +8790,MN,714,7501,104,83,3001,2,3,10011,E003,10,15,5600,1,4, ,450 WEST 17 STREET,C6-3, , , , , ,WCH, , , ,N,RM,4,0, , ,52900,504210,80249,423961,0,10288,42265,0,0,27696,2,1,24,469,471,160.75,300,0,0, ,0,Y,3,5,927001,71419503,0,56915014,2006,0,0, , ,9.53,7.52,6,10,1,1007147501,1900,83,982480,210149,8b, ,103 041,10302, ,1007140001,9/19/2008,1, ,1,17V1.1,7,987.7617983,55330.49586,70492496,7,1,8790,8790,247,55575,10.30099964,14.61999989,4.319000244,11.94300129,0.945960128,2949.921318 +8791,MN,489,32,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,69 THOMPSON STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,THOMPSON 69 LLC,2150,7810,800,7010,0,800,0,0,0,0,2,2,5,9,10,21.5,100,22,49, ,3,N,5,2,142387,520689,0,0,1900,1988,1996,Sullivan-Thompson Historic District, ,3.63,3.44,0,6.5,1,1004890032,0,47,983344,203224,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,242.2076315,2051.089812,378302,0,1,8791,8791,10,2250,9.686666489,12.90999985,3.223333359,10.54255543,1.317376073,105.4255543 +8792,MN,559,9,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,137 4 AVENUE,C6-4,C6-1, , , , ,US, , , ,Y,D6,4,0, ,"GOLDMAN, LLOYD",20040,184645,69441,115204,0,69441,0,0,0,0,2,1,17,209,220,237,154,148,203,E,2,Y,3,2,3555000,30762000,0,0,1964,0,0, , ,9.21,10,10,10,1,1005590009,0,42,987145,206640,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,673.9151491,22018.35109,27207000,12,0,8792,8792,98,22050,36.68999863,45,8.310001373,37.80252036,2.539302078,3704.646996 +8793,MN,844,40,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,95 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O6,5,0, ,EKFH LLC,2495,22324,17924,4400,12542,5382,0,0,0,0,2,1,9,2,6,22.67,116.83,23,117, ,0,Y,3,2,981000,4320450,0,0,1920,2013,0,Ladies' Mile Historic District, ,8.95,10,10,10,1,1008440040,0,52,986475,208035,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,293.1703661,2840.68342,3339450,7,0,8793,8793,11,2475,39.54333496,41.19499969,1.651664734,40.69232316,0.680388278,447.6155548 +8794,MN,444,10,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,44 EAST 3 STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,"TICK, SUZANNE",1000,4000,2000,2000,0,1000,0,0,0,1000,2,1,3,1,2,20,50,20,35,E,3,N,5,5,55094,68961,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,4,6.02,6,6.5,1,1004440010,0,3602,987118,203532,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,150.5108256,1143.152828,13867,1,0,8794,8794,4,900,33.39555359,33.39555359,0,33.39555359,0,133.5822144 +8795,MN,875,28,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,129 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,KATHRYN D MEISTER,1676,2025,0,2025,0,0,0,0,0,0,2,1,3,1,1,27,62.08,27,25,E,3,N,5,2,54988,142420,1550,1550,1901,0,0,Gramercy Park Historic District, ,1.21,4,0,4,1,1008750028,0,50,988148,207778,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,179.2958677,1691.537356,87432,5,0,8795,8795,7,1575,25.84222221,32.36999893,6.527776718,28.13634872,2.530194042,196.9544411 +8796,MN,421,7501,103,36.01,2001,1,1,10002,L018,5,14,6500,2,3, ,52 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,RM,4,0,P,OWNER / AGENT,1500,8403,2513,5890,0,2513,0,0,0,0,2,1,5,5,7,75,20,0,0, ,0,N,5,5,30116,469494,2360,2360,1900,1987,0, , ,5.6,4,4,4,1,1004217501,577,3601,986837,201940,12c, ,102 002,10204, ,1004210074,10/7/1988,1, , ,17V1.1,7,201.7878697,1695.053083,439378,13,0,8796,8796,8,1800,39.88000107,40.01000214,0.130001068,39.8962512,0.042993812,319.1700096 +8797,MN,194,13,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,38 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,"38 WALKER STREET,",2513,10865,10865,0,0,2500,0,8365,0,0,2,1,5,0,5,25,100.5,25,93,E,3,N,5,2,127800,841950,0,0,1915,2000,2002,Tribeca East Historic District, ,4.32,6.02,6,6.5,1,1001940013,0,33,983189,201393,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,257.9111741,2672.075817,714150,14,0,8797,8797,11,2475,12.8255558,12.8255558,0,12.8255558,0,141.0811138 +8798,MN,199,13,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,214 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WO HING REALTY CORP,2654,13900,1985,11915,0,1985,0,0,0,0,2,1,7,24,25,26.08,103.25,26,86, ,3,Y,5,2,226350,651150,0,0,1915,0,0, , ,5.24,3.44,6,6.5,1,1001990013,0,29,984474,200504,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,265.7544999,2824.100971,424800,14,0,8798,8798,13,2925,22.37599945,26.03999901,3.663999558,22.87191406,1.175789896,297.3348827 +8799,MN,195,4,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,390 BROADWAY,C6-2A, , , , , , , , , ,N,O5,5,0,P,NAZWIN ASSOCIATES INC,4849,24000,24000,0,0,5000,0,19000,0,0,2,1,5,0,3,27.58,175,28,175, ,3,Y,4,2,433800,2151000,0,0,1900,1988,0,Tribeca East Historic District, ,4.95,6.02,6,6.5,1,1001950004,0,31,983589,200923,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,417.8624948,5096.722364,1717200,14,0,8799,8799,22,4950,17.90200043,17.90200043,0,17.90200043,0,393.8440094 +8800,MN,608,11,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,156 WEST 13 STREET,R6, , , , , , , , , ,N,A5,1,0, ,"CASCADE HOPS, LLC",2065,5600,0,5600,0,0,0,0,0,0,2,1,5,1,1,20,103.25,20,42,E,2,N,5,2,71700,233331,0,0,1899,2004,2004,Greenwich Village Historic District, ,2.71,2.43,0,4.8,1,1006080011,0,71,984318,207944,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,255.9663198,2233.357601,161631,8,0,8800,8800,9,2025,24.04400063,26.12888908,2.084888458,24.46360546,0.790464304,220.1724491 +8801,MN,834,19,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,39 WEST 32 STREET,C6-4,C6-6, , , , ,MID, , , ,Y,O6,5,0,P,TERESHARAN REALTY,4246,61745,61745,0,58302,3443,0,0,0,0,2,1,17,0,59,43,98.75,43,97,E,3,N,5,2,1890000,6053850,0,0,1911,0,0, , ,14.54,10,10,10,1,1008340019,0,76,987765,211850,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,287.5832274,4310.876485,4163850,10,0,8801,8801,19,4275,45.84899902,45.84899902,0,45.84899902,0,871.1309814 +8802,MN,427,7502,103,36.01,3001,1,1,10002,L020,5,14,6500,2,3, ,269 BOWERY,C6-1,R8X, , ,C2-5, , , , , ,Y,RM,4,0, , ,2480,11529,4352,7177,0,0,0,0,0,4352,2,1,5,4,5,24.58,101.3,24.58,93, ,0,Y,5,5,76207,895693,2360,2360,1910,2004,0, , ,4.65,3.44,6,6.5,1,1004277502,1949,3601,986352,202880,12c, ,102 001,10204, ,1004270013,12/8/2008,1, , ,17V1.1,7,264.1153918,2673.626733,819486,9,0,8802,8802,12,2700,40.86999893,46.16888809,5.29888916,42.86687088,2.310804885,514.4024506 +8803,MN,175,15,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3A,277 CHURCH STREET,C6-2A, , , , , , , , , ,N,S3,4,0,P,"ONLY PROPERTIES, LLC",1875,6375,1594,4781,0,1594,0,0,0,0,2,1,4,3,4,25,75,25,68,E,3,N,5,5,83122,576658,0,0,1910,0,0,Tribeca East Historic District, ,3.4,6.02,6,6.5,1,1001750015,0,33,982928,201058,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,211.8768333,2058.195615,493536,14,0,8803,8803,9,2025,17.40222168,19.2444458,1.842224121,17.60691325,0.578955186,158.4622192 +8804,MN,611,7,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,245 WEST 4 STREET,R6,C2-6, , , , , , , , ,Y,A9,1,0,P,"DOVES' NEST NYC TWO,",1672,4836,0,4035,0,0,0,0,0,0,2,2,3,1,1,21.83,76.58,22,54, ,3,N,5,1,96183,141437,0,0,1910,2009,0,Greenwich Village Historic District, ,2.89,2.43,0,4.8,1,1006110007,0,73,983451,206953,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,203.8802259,1748.856176,45254,8,0,8804,8804,7,1575,23.83777809,23.83777809,0,23.83777809,0,166.8644466 +8805,MN,392,4,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,149 AVENUE B,R7A, , , , , , , , , ,N,M1,8,0, ,TOMPKINS SQUARE HOLDI,2139,6440,6440,0,0,0,0,0,0,6440,2,1,5,2,3,23,93,23,93, ,3,N,5,2,105750,558450,0,0,1900,0,0, , ,3.01,4,0,4,1,1003920004,0,28,989820,203939,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,236.9798814,2267.318881,452700,12,1,8805,8805,10,2250,7.576999664,11.81633377,4.239334106,9.309866428,1.621518666,93.09866428 +8806,MN,816,4,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,536 AVENUE OF THE AMER,C6-3A,C6-2A, , , , , , , , ,Y,O5,5,0, ,14TH STREET OWNER LLC,4163,15844,12209,3635,4209,8000,0,0,0,0,2,3,4,6,16,55.5,75,19,71, ,3,N,5,2,828000,3222000,0,0,1900,2011,0, , ,3.81,7.52,6,7.5,1,1008160004,0,54,985265,207992,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,269.3610398,4423.334636,2394000,7,0,8806,8806,18,4050,28.19599915,28.79555511,0.599555969,28.22930781,0.137335144,508.1275406 +8807,MN,742,49,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,318 WEST 19 STREET,R7B, , , , , , , , , ,N,D4,3,0,P,CHELSEA 19TH ST OWNER,6045,22700,0,22700,0,0,0,0,0,0,2,2,5,34,34,65.58,92,65,64,E,2,N,5,1,255600,2061000,69071,69071,1900,1970,0, , ,3.76,3,0,3,1,1007420049,0,89,983866,209995,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,320.2354375,6224.740854,1805400,7,0,8807,8807,28,6300,15.59444427,15.82999992,0.235555649,15.60972207,0.055388395,437.0722179 +8808,MN,572,26,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,24 WEST 9 STREET,R6, , , , , , , , , ,N,D9,3,0,P,HIESIGER ASHER,7040,46137,4117,42020,4117,0,0,0,0,0,2,1,9,49,50,75,93.92,75,80, ,3,N,5,2,1179000,5497200,0,0,1923,1988,0,Greenwich Village Historic District, ,6.55,2.43,0,4.8,1,1005720026,0,63,984957,206422,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,345.3770739,7324.788036,4318200,8,0,8808,8808,33,7425,18.70499992,24.67777824,5.97277832,19.33624574,1.707207725,638.0961094 +8809,MN,525,7507,102,65,4000,2,3,10012,L009,6,15,5700,2,2, ,181 SULLIVAN STREET,R7-2, , , , , , , , , ,N,R1,2,0, , ,2500,8158,0,8158,0,0,0,0,0,0,2,1,5,5,5,25,100.21,25,92, ,0,Y,0,5,46658,513618,0,53959,1910,2005,0,South Village Historic District, ,3.26,3.44,0,6.5,1,1005257507,1697,65,984087,204596,12c, ,103 007,10206, ,1005250006,6/8/2007,1, , ,17V1.1,7,259.0046065,2652.043649,466960,9,0,8809,8809,12,2700,23.62666702,27.21000099,3.583333969,23.92527819,0.99038119,287.1033382 +8810,MN,481,7502,102,41,6001,2,1,10012,E055,5,15,6800,1,2, ,225 LAFAYETTE STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, , ,7922,77174,7859,69315,0,7859,0,0,0,0,2,1,12,41,42,75.67,114.33,80,100, ,0,Y,0,5,1349995,12395698,4720,4720,1926,1988,2002, , ,9.74,6.02,6,6.5,1,1004817502,1363,41,985093,202321,12c, ,11N 074,10206, ,1004810015,12/27/2004,1, , ,17V1.1,7,379.8156327,8636.046365,11045700,0,0,8810,8810,38,8550,35.01599884,38.24777985,3.231781006,35.42215689,0.940928341,1346.041962 +8811,MN,209,5,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,428 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,THE SUSPENDERS BUILD,7945,42000,42000,0,35727,6273,0,0,0,0,2,1,6,0,5,51.83,123.42,52,122, ,3,Y,3,2,850500,4495500,0,0,1915,1998,0,SoHo-Cast Iron Historic District Extensi, ,5.29,0,5,6.5,1,1002090005,0,45,983913,201463,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,469.2657488,8347.837268,3645000,0,0,8811,8811,38,8550,11.84555531,15.80666637,3.961111069,12.44988283,1.291475515,473.0955477 +8812,MN,180,26,101,39,4006,2,1,10013,E007,1,15,7700,1,1,3A,17 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,B1,1,0,P,17 HARRISON STREET LL,1404,6000,0,6000,0,0,0,0,0,0,2,1,4,2,2,22.6,63.5,25,60,E,0,Y,5,2,50775,110067,0,0,1920,1992,2006,Tribeca West Historic District, ,4.27,6.02,6,6.5,1,1001800026,0,39,981507,201072,12a, ,101S037,10105, ,1001800026,11/9/1992,1, , ,17V1.1,0,173.7261768,1440.200745,59292,14,0,8812,8812,8,1800,15.85299969,17.89222145,2.039221764,16.10790241,0.674409207,128.8632193 +8813,MN,592,23,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,351 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,"351 6TH AVENUE, LLC",1400,5048,1428,3620,0,1428,0,0,0,0,2,1,4,6,7,20,70,20,70,E,3,N,5,2,320914,787540,0,0,1915,0,0,Greenwich Village Historic District, ,3.61,3.44,0,6.5,1,1005920023,0,71,983968,205997,12c,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,183.7437749,1455.344184,466626,9,0,8813,8813,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +8814,MN,394,41,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,183 AVENUE C,R7A, , , ,C2-5, , , , , ,N,D7,4,0, ,WELL DONE REALTY LLC,6412,24534,5000,19534,0,5000,0,0,0,0,2,2,6,41,45,77.25,83,77,67, ,3,N,5,2,571500,2495700,0,0,1910,1985,0, , ,3.83,4,0,4,1,1003940041,0,28,990582,204095,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,325.4392572,6607.548921,1924200,12,1,8814,8814,29,6525,6.934999943,8.657777786,1.722777843,7.086206864,0.449431598,205.499999 +8815,MN,204,33,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,179 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0,P,"CRESPO, FRANCISCO",1572,7875,7875,0,5000,1551,0,1324,0,0,2,1,5,0,6,20.83,74.75,21,64,E,3,Y,5,2,135000,876150,0,0,1915,0,0, , ,5.01,3.44,6,6.5,1,1002040033,0,41,984976,200477,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,191.9730262,1519.71926,741150,14,0,8815,8815,7,1575,36.00444412,36.00444412,0,36.00444412,0,252.0311089 +8816,MN,612,43,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,47 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,"GEORGIOPOULOS, PETER",2529,5764,0,5764,0,0,0,0,0,0,2,3,3,1,1,34.17,74,34,68, ,1,N,3,2,35193,343821,0,0,1890,1989,2002,Greenwich Village Historic District, ,2.28,2.43,0,4.8,1,1006120043,0,73,983397,207084,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.0412196,2927.108392,308628,8,0,8816,8816,14,3150,24.50222206,27.29888916,2.796667099,25.00919819,0.893755152,350.1287746 +8817,MN,190,41,101,33,3013,2,1,10013,E007,1,15,7700,1,1,3B,248 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,L9,6,0,P,250 W BWAY RLTY CORP,3964,35057,26297,8760,21917,4380,0,0,0,0,2,1,8,2,8,43,95.08,43,95, ,0,Y,3,2,272250,3020850,0,0,1915,0,0, , ,8.84,6.02,6,6.5,1,1001900041,0,33,982582,201616,12a, ,101N041,10105,E-257,0, ,1, ,1,17V1.1,0,295.2519252,4588.390875,2748600,14,1,8817,8817,23,5175,9.793333054,10.10222244,0.308889389,9.806763027,0.062992159,225.5555496 +8818,MN,874,21,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,70 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,D1,3,0, ,GRAMERCY REALTY LLC,5547,21840,0,21840,0,0,0,0,0,0,2,1,6,35,35,52,106.67,52,84, ,3,N,5,2,585000,2286000,0,0,1949,0,0,Gramercy Park Historic District, ,3.94,4,0,4,1,1008740021,0,50,987982,207619,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,320.3353814,5674.73699,1701000,5,0,8818,8818,24,5400,27.68333435,33.59777832,5.91444397,28.8563989,2.221375369,692.5535736 +8819,MN,559,41,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,106 3 AVENUE,C1-9A, , , , , , , , , ,N,K2,5,0, ,106 THIRD AVENUE LLC,1500,2625,2625,0,0,2625,0,0,0,0,2,1,2,0,1,25,60,25,60, ,2,N,3,2,179100,1278900,0,0,1900,2007,0, , ,1.75,10,2,10,1,1005590041,0,42,987616,206258,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,174.3297873,1622.975116,1099800,12,0,8819,8819,7,1575,36.68999863,36.68999863,0,36.68999863,0,256.8299904 +8820,MN,767,71,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,160 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,154-160 8TH AVENUE CO,2637,15418,2500,12918,0,2500,0,0,0,0,2,1,6,5,6,26.77,100,26,96, ,3,N,3,5,981592,1495000,0,0,1920,1987,2003, , ,5.85,4,2,4,1,1007670071,0,81,984121,209614,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,259.0582702,2836.703901,513408,7,0,8820,8820,12,2700,21.88888931,22.25666618,0.367776871,21.92916695,0.103740574,263.1500034 +8821,MN,800,55,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,124 WEST 25 STREET,M1-6, , , , , , , , , ,N,C4,2,0, ,124-26 W 25 STREET LL,2469,10160,1000,9160,0,1000,0,0,0,0,2,1,5,9,11,25,98.75,25,85,E,0,N,5,2,95400,1094850,0,0,1901,1978,0, , ,4.12,0,10,10,1,1008000055,0,91,986170,210498,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,256.496654,2517.269869,999450,2,0,8821,8821,11,2475,33.84199905,39.13466644,5.292667389,34.32315063,1.521534895,377.554657 +8822,MN,504,19,102,37,3000,2,3,10013,L020,1,15,6800,1,2,1A,202 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,D9,3,0, ,PRINCE STREET HOLDING,5300,21740,2200,19540,0,2200,0,0,0,0,2,2,6,38,39,53,100,22,59, ,1,N,3,2,351000,3608550,0,0,1910,1966,0,Sullivan-Thompson Historic District, ,4.1,3.44,0,6.5,1,1005040019,0,37,983423,204010,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,311.2922121,5519.816306,3257550,0,0,8822,8822,25,5625,17.73666573,24.30888939,6.572223663,20.43988472,1.96156241,510.997118 +8823,MN,203,16,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1A,144 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,HESBOW REALTY INC.,1950,8080,1000,7080,0,1000,0,0,0,0,2,1,5,8,10,25.58,75.17,25,62, ,3,Y,5,2,57789,198283,0,0,1900,1982,2009, , ,4.14,6.02,6,6.5,1,1002030016,0,41,985342,200614,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,202.022998,1886.813255,140494,0,0,8823,8823,7,1575,40.21222305,40.21222305,0,40.21222305,0,281.4855614 +8824,MN,519,53,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,15 CHARLTON STREET,R7-2,R6, , ,C1-5, , , , , ,Y,C0,2,0, ,"DALY, MARTIN",2333,3864,0,2898,0,0,0,0,0,0,2,1,3,3,3,23.33,100,23.33,42, ,2,N,5,1,29352,133113,1550,1550,1899,0,0,Charlton-King-Vandam Historic District, ,1.66,3.44,0,6.5,1,1005190053,0,37,983166,204225,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,248.7136231,2362.39404,103761,9,0,8824,8824,10,2250,16.83888817,22.0577774,5.218889236,18.9034441,2.267082321,189.034441 +8825,MN,880,6,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,105 EAST 24 STREET,C6-4A, , , , , , , , , ,N,D1,3,0,P,PARK AVE GROUP EQUITI,6024,26142,0,26142,0,0,0,0,0,0,2,1,6,43,43,61,98.75,61,87.58, ,2,N,5,2,589500,2339100,0,480459,1939,0,0, , ,4.34,10,10,10,1,1008800006,0,68,988343,209179,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,324.1132835,6162.880674,1749600,11,0,8825,8825,27,6075,29.2211113,29.2211113,0,29.2211113,0,788.970005 +8826,MN,640,64,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,20 BETHUNE STREET,R6, , , , , , , , , ,N,C6,2,0, ,20 BETHUNE OWNERS COR,3203,12290,0,12290,0,0,0,0,0,0,2,1,5,18,18,39.83,80.42,40,60, ,3,N,5,1,202500,1116450,7080,7080,1920,1983,0,Greenwich Village Historic District, ,3.84,2.43,0,4.8,1,1006400064,0,79,982298,207835,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,244.7197749,3322.885004,913950,8,0,8826,8826,15,3375,11.96800041,12.63500023,0.666999817,12.05693372,0.226736339,180.8540058 +8827,MN,800,7504,104,91,1002,2,3,10010,E001,13,15,5200,2,4, ,101 WEST 24 STREET,C6-4X, , , , , , , , , ,N,RM,4,0, , ,19760,249981,17403,232578,0,17403,0,0,0,0,2,1,40,202,203,100,197.6,100,197.5, ,1,N,3,5,2160028,52879061,0,10263915,2006,0,0, , ,12.65,10,10,10,1,1008007504,1851,91,986355,210338,8d, ,15S 011,10305, ,1008000037,8/4/2008,1, , ,17V1.1,7,621.6394698,21693.55957,50719000,2,0,8827,8827,97,21825,32.53888702,39.41333389,6.874446869,33.26618261,1.358552071,3226.819714 +8828,MN,860,24,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,27 EAST 30 STREET,C5-2, , , , , , , , , ,N,D7,4,0, ,THE NOMAD LAND COMPAN,3988,21095,2500,18595,0,2500,0,0,0,0,2,1,7,24,25,40.33,98.75,40,88, ,2,N,5,2,499500,2222100,0,0,1925,1989,0, , ,5.29,10,10,10,1,1008600024,0,74,988646,210778,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,281.3593296,4183.525763,1722600,10,0,8828,8828,19,4275,37.50888824,37.50888824,0,37.50888824,0,712.6688766 +8829,MN,349,18,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,163 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,PAUL STALLINGS,2504,9415,0,9415,0,0,0,0,0,0,2,1,5,18,18,25,100.17,25,88, ,3,N,5,2,202500,1165500,0,0,1900,1985,0, , ,3.76,4,0,4,1,1003490018,0,3001,988467,201631,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,255.5932949,2662.393382,963000,1,0,8829,8829,12,2700,24.4422226,25.51555634,1.07333374,24.53166707,0.296653774,294.3800049 +8830,MN,223,20,101,39,1011,2,1,10013,L008,1,15,7700,1,1,3B,426 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,PONTE EQUITIES INC,1885,3710,3710,0,3710,0,0,0,0,0,2,1,2,0,3,21.83,85,21.83,85, ,0,N,3,5,67500,278550,0,0,1910,0,0, , ,1.97,6.02,6,6.5,1,1002230020,0,39,981287,202683,12a, ,101N040,10105,R-76,0, ,1,1,1,17V1.1,0,222.0029181,2042.086989,211050,0,1,8830,8830,10,2250,7.28000021,7.28000021,0,7.28000021,0,72.8000021 +8831,MN,577,7504,102,63,1000,2,3,10011,L003,6,15,5700,3,2, ,14 WEST 14 STREET,C6-2M, , , , , , , , , ,N,RM,4,0, , ,5163,31874,6363,25511,0,6363,0,0,0,0,2,1,10,30,31,50,103.25,50,81.7, ,1,N,5,5,1799999,7320600,0,2583678,2008,0,0, , ,6.17,6.02,6,6.5,1,1005777504,2158,63,985708,207480,12c, ,103 020,10207, ,1005770032,6/29/2010,1, , ,17V1.1,7,323.641441,5599.222659,5520600,8,0,8831,8831,25,5625,30.09499931,34.18000031,4.085000992,30.86451065,1.467000728,771.6127663 +8832,MN,849,10,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,903 BROADWAY,M1-5M, , , , , , , , , ,N,O6,5,0, ,RJR REALTY CO,5799,30067,30067,0,24367,5700,0,0,0,0,2,3,7,0,12,96.42,70.08,54,60, ,0,Y,3,2,900000,4027050,0,0,1891,1988,2012,Ladies' Mile Historic District, ,5.18,0,5,6.5,1,1008490010,0,52,987040,208686,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,353.883583,6507.117921,3127050,7,0,8832,8832,28,6300,40.92599869,42.38955688,1.463558197,40.97826862,0.271602553,1147.391521 +8833,MN,642,39,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,785 WASHINGTON STREET,C4-4A, , , , , , , , , ,N,A9,1,0,P,ANDREA ROSEN,1333,2870,0,2870,0,0,0,0,0,0,2,1,3,1,1,25,54.58,25,54.58, ,3,Y,5,2,29656,69560,0,0,1910,2003,2003,Greenwich Village Historic District, ,2.15,4,4,4,1,1006420039,0,79,982051,208263,8b, ,103 014,10210,E-149,0, ,1, , ,17V1.1,0,169.2737162,1557.730968,39904,8,1,8833,8833,8,1800,10.79777813,11.84666634,1.048888206,10.92888916,0.346887168,87.43111324 +8834,MN,955,5,106,62,1005,2,4,10010,E016,13,14,6000,1,6,1B,403 EAST 23 STREET,R8, , , , , , , , , ,N,I1,8,0,X,DEPT OF VETERAN AFFAI,279967,1385425,1385425,0,0,0,0,0,0,1385425,2,3,18,0,2,551.5,455,390,420, ,0,Y,3,5,39579300,157997250,39579300,157997250,1950,0,0, , ,4.95,6.02,0,6.5,1,1009550005,0,62,990647,207818,12c,Y,104 011,10309, ,0, ,1,1,1,17V1.1,0,2128.560184,269700.8572,118418000,11,1,8834,8834,1198,269550,6.340000153,20.78000069,14.44000053,7.513831787,2.807652258,9001.570481 +8835,MN,769,68,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,194 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,HANME EIGHTH REALTY C,2500,5640,2320,3320,0,2320,0,0,0,0,2,1,3,5,6,25,100,25,100,E,3,N,5,5,42362,123540,0,0,1920,1986,0, , ,2.26,4,2,4,1,1007690068,0,87,984345,210020,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,253.834702,2643.329,81178,7,0,8835,8835,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +8836,MN,79,2,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1,1B,85 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,CHEHEBAR ASSOCATES,2748,12108,12108,0,0,6054,0,0,0,6054,2,1,5,0,1,25.08,111.08,25,108, ,3,Y,5,2,616500,1322100,0,0,1910,1968,0, , ,4.41,10,15,15,1,1000790002,0,1502,981987,197995,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,276.0664655,2778.966578,705600,0,0,8836,8836,12,2700,31.21700096,32.11544418,0.898443222,31.29187123,0.248316589,375.5024548 +8837,MN,379,25,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,434 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,432-434 EAST 10TH ST,4337,14347,0,14347,0,0,0,0,0,0,2,1,4,8,8,47,92.25,47,92.25, ,0,N,5,5,4054,88770,0,0,1920,0,2009, , ,3.31,4,0,4,1,1003790025,0,28,990849,203436,12c, ,102 023,10202, ,1003790023,12/13/1988,1, ,1,17V1.1,0,283.9036951,4491.158867,84716,12,1,8837,8837,19,4275,7.409999847,10.27777767,2.867777824,7.585935542,0.643250831,144.1327753 +8838,MN,416,56,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,167 ORCHARD STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,167 ORCHARD PRIME LLC,1988,5900,5900,0,0,5900,0,0,0,0,2,1,3,0,2,26.5,75,26,75, ,3,N,3,2,225000,1547100,0,0,1940,2010,0, , ,2.97,4,4,4,1,1004160056,0,3001,987374,202080,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,214.1968373,2227.720399,1322100,1,0,8838,8838,10,2250,33.08889008,33.08889008,0,33.08889008,0,330.8889008 +8839,MN,742,45,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,310 WEST 19 STREET,R7B, , , , , , , , , ,N,A9,1,0,P,"SHAW, DONALD H",1120,1728,0,1728,0,0,0,0,0,0,2,1,3,1,1,16,70,16,38, ,3,N,5,2,26595,111528,1550,1550,1910,0,0, , ,1.54,3,0,3,1,1007420045,0,89,983964,209955,8d,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,173.4531908,1153.35047,84933,7,0,8839,8839,5,1125,15.59444427,18.2733326,2.678888321,16.8230217,1.065115702,84.11510849 +8840,MN,145,7504,101,21,1000,2,1,10013,E007,1,15,7700,3,1, ,97 READE STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,READE COURT CONDOMINI,5600,36549,11557,24992,0,11557,0,0,0,0,2,1,7,20,24,74.5,75.12,0,0, ,0,N,5,5,733500,4543199,45540,45540,1920,0,0,Tribeca South Historic District, ,6.53,7.52,6,7.5,1,1001457504,668,21,981968,199965,12b,Y,101S017,10104, ,1001450021,11/29/1989,1, , ,17V1.1,7,298.6814619,5571.819526,3809700,14,0,8840,8840,25,5625,21.27222252,25.3722229,4.100000381,21.583787,1.025534847,539.5946751 +8841,MN,202,23,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,50 BOWERY,C6-1G, , , , , , , , , ,N,H1,5,0, ,"50 BOWERY HOLDINGS, L",14996,129098,10667,7403,0,5955,0,812,0,0,2,1,20,8,11,75,200,25,52, ,0,Y,5,0,2925000,17596987,0,0,2014,0,0, , ,8.61,3.44,6,6.5,1,1002020023,0,29,985129,200132,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,558.2899831,15283.45956,14672000,14,0,8841,8841,68,15300,42.13933182,42.67855453,0.539222717,42.40899871,0.046237968,2883.811913 +8842,MN,537,13,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,76 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,234 THOMPSON STREET,4500,20980,3895,17085,0,3895,0,0,0,0,2,1,6,35,41,75,60,67,60, ,0,N,3,2,589500,4373550,0,0,1900,0,0,South Village Historic District, ,4.66,3.44,0,6.5,1,1005370013,0,65,984657,205041,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,280.1965995,4855.086291,3784050,9,0,8842,8842,23,5175,27.39777756,28.34555626,0.947778702,27.52988384,0.283657556,633.1873283 +8843,MN,465,44,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,44 STUYVESANT STREET,R8B, , , , , , , , , ,N,A9,1,0, ,SMTIH QUALIFIED PERS,1560,3384,0,3384,0,0,0,0,0,0,2,1,3,1,1,24.25,75,24.25,47, ,3,Y,5,2,29606,91224,0,0,1899,0,0,St. Mark's Historic District, ,2.17,4,0,4,1,1004650044,0,40,987685,205163,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,194.8181318,1687.329407,61618,12,0,8843,8843,10,2250,31.03333282,32.96666718,1.933334351,31.22666626,0.580000305,312.2666626 +8844,MN,180,17,101,39,4006,2,1,10013,E007,1,15,7700,1,1,3A,19 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,A4,1,0, ,JAY STREET RESIDENCE,1718,7178,0,7178,0,0,0,0,0,0,2,1,5,1,1,22.83,75.25,23,75,E,3,N,5,2,117587,716463,0,0,1920,0,0,Tribeca West Historic District, ,4.18,6.02,6,6.5,1,1001800017,0,39,981483,200951,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,206.1516433,1801.840191,598876,14,0,8844,8844,8,1800,15.85299969,15.85299969,0,15.85299969,0,126.8239975 +8845,MN,436,7501,103,32,1000,1,2,10009,L011,9,14,6600,4,3, ,410 EAST 9 STREET,R8B, , , , , , , , , ,N,R6,2,0, , ,1556,3840,0,3840,0,0,0,0,0,0,2,1,3,2,2,20.75,75,21,44, ,3,N,0,2,55488,129416,1550,1550,1900,0,0, , ,2.47,4,0,4,1,1004367501,2235,32,988586,204420,12c, ,102 020,10205, ,1004360011,4/28/2011,1, , ,17V1.1,7,193.8133062,1486.081501,73928,12,0,8845,8845,7,1575,17.84799957,22.57444382,4.726444244,19.1929839,1.8130309,134.3508873 +8846,MN,626,41,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,334 WEST 4 STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,45-47-49 EIGHTH AVENU,3256,14540,2908,11632,0,2908,0,0,0,0,2,2,5,14,16,44,74,17,70, ,3,N,5,2,387000,2598300,0,0,1900,2004,0,Greenwich Village Historic District, ,4.47,3.44,2,6.5,1,1006260041,0,77,983119,208356,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,245.7715887,3537.17401,2211300,8,0,8846,8846,17,3825,17.68444443,17.68444443,0,17.68444443,0,300.6355553 +8847,MN,392,7502,103,28,3001,1,2,10009,L011,9,14,6300,4,3, ,631 EAST 9 STREET,R8B, , , , , , , , , ,N,R4,3,0, ,SUSAN LECRAW,3691,11900,297,11603,0,0,0,297,0,0,2,1,6,12,12,40,92.25,40,60, ,3,N,0,5,180000,999632,0,180931,2005,0,0, , ,3.22,4,0,4,1,1003927502,1859,28,990124,203729,12c, ,102 022,10203, ,1003920046,10/7/2009,1, ,1,17V1.1,7,270.4167877,3805.075115,819632,12,1,8847,8847,16,3600,7.576999664,11.00444412,3.427444458,7.886332989,0.885032737,126.1813278 +8848,MN,353,44,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,116 DELANCEY STREET,C4-4A,C6-2A, , , , , , , , ,Y,K1,5,1,C,NYC DSBS,20365,20616,20616,0,0,20616,0,0,0,0,2,1,1,0,1,45.08,402,45.08,402, ,0,Y,3,5,2281500,4413600,2281500,4413600,1939,0,0, , ,1.01,4,4,4,1,1003530044,0,18,987677,201278,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,951.2953651,21103.66263,2132100,13,0,8848,8848,93,20925,29.00666618,32.49666595,3.489999771,29.19436155,0.67153401,2715.075624 +8849,MN,189,34,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,16 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,C4,2,0,P,16-18 NORTH MOORE LLC,1865,9550,1500,8050,0,1500,0,0,0,0,2,1,5,8,10,25,74.58,25,73, ,3,Y,3,2,64752,303715,0,0,1910,2006,2006,Tribeca West Historic District, ,5.12,6.02,6,6.5,1,1001890034,0,33,982294,201453,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,217.8322015,2227.968894,238963,14,1,8849,8849,10,2250,10.17444515,12.78333282,2.608887672,10.43533392,0.782666302,104.3533392 +8850,MN,570,15,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,20 EAST 13 STREET,C6-1, , , , , , , , , ,N,C5,2,0, ,"20 EAST 13 LLC, A NEW",1675,6002,1000,5002,0,1000,0,0,0,0,2,1,5,5,7,21,79.75,21,60,E,3,N,5,2,174478,464064,0,0,1900,1980,0, , ,3.58,3.44,6,6.5,1,1005700015,0,61,986130,206954,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,211.5916881,1780.767149,289586,8,0,8850,8850,8,1800,33.2820015,35.0577774,1.775775909,33.51647329,0.583477033,268.1317863 +8851,MN,586,37,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,39 CARMINE STREET,R6, , , , , , , , , ,N,C4,2,0, ,"39 CA, LLC",2500,9375,0,9375,0,0,0,0,0,0,2,1,5,20,20,25,100,25,72, ,3,N,5,2,249300,1557000,0,0,1900,1960,0,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005860037,0,67,983265,205321,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,253.3779434,2671.694069,1307700,9,0,8851,8851,12,2700,15.38333321,15.38333321,0,15.38333321,0,184.5999985 +8852,MN,197,26,101,31,1002,2,1,10013,L001,5,15,7700,1,1, ,240 CANAL STREET,M1-5, , , , , , , , , ,N,O5,5,1, ,EGLESAU ESTATES LTD,4166,12500,12500,0,8340,4160,0,0,0,0,2,1,3,0,21,26.42,103.92,24,106, ,2,N,3,2,324000,2793150,0,0,1915,1984,0, , ,3,0,5,6.5,1,1001970026,0,31,984161,200813,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,299.7800755,4213.163546,2469150,14,0,8852,8852,17,3825,13.86800003,14.76311111,0.895111084,13.95278431,0.239776816,237.1973333 +8853,MN,391,41,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,337 EAST 8 STREET,R8B, , , , , , , , , ,N,S3,4,0,P,"STORY, ALEXANDRA",2324,4744,1000,3744,0,1000,0,0,0,0,2,1,3,3,4,24.75,93.92,25,93, ,1,N,5,5,4977,34158,2360,2360,1900,1986,0, , ,2.04,4,0,4,1,1003910041,0,2602,990124,203449,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,245.1389216,2433.753232,29181,12,1,8853,8853,11,2475,8.300000191,10.72444439,2.424444199,8.581212304,0.68965175,94.39333534 +8854,MN,101,1,101,15.01,1003,2,1,10038,E006,1,15,7700,1,1, ,36 PARK ROW,C6-4, , , , , ,LM, , , ,N,D4,3,0,P,38 PARK ROW RESIDENCE,11075,111685,11890,99795,0,11890,0,0,0,0,2,1,11,41,51,95.92,144.75,96,142, ,2,Y,3,2,1530000,12275550,51920,51920,1900,1981,0, ,POTTER BUILDING,10.08,10,10,10,1,1001010001,0,1501,982454,198509,12b, ,101S019,10103, ,0, ,1, , ,17V1.1,0,453.1855435,12198.54719,10745600,0,0,8854,8854,55,12375,39.09199905,39.6566658,0.564666748,39.12605161,0.118978678,2151.932838 +8855,MN,160,1,101,29,4003,2,1,10007,E006,5,15,7700,1,1,1A,464 PEARL STREET,C6-1, , , , , , , , , ,N,Z1,8,0,O,CITY OF NEW YORK,19638,486065,486065,0,0,0,0,0,0,486065,2,1,27,0,1,41.75,300,150,250, ,1,Y,3,2,3907350,74694150,3907350,74694150,1992,0,0, , ,24.75,3.44,6,6.5,1,1001600001,0,29,984003,199365,12d,Y,101S026,10105, ,0, ,1, , ,17V1.1,0,859.7886195,21099.86423,70786800,16,0,8855,8855,94,21150,17.31122208,21.87444496,4.563222885,18.65524233,1.607098078,1753.592779 +8856,MN,404,23,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,538 EAST 11 STREET,R8B, , , , , , , , , ,N,K4,4,0,P,ALYSSA A ADAMS,4845,10968,7312,3656,0,7312,0,0,0,0,2,1,2,1,2,50.5,94.75,51,95, ,0,N,5,5,1786050,5848650,2850,2850,1904,1999,0, ,FREE PUBLIC BATHS OF THE CITY OF NE,2.26,4,0,4,1,1004040023,0,34,989728,204343,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,295.6017192,4918.320558,4062600,12,0,8856,8856,21,4725,12.53199959,12.53199959,0,12.53199959,0,263.1719913 +8857,MN,436,25,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,432 EAST 9 STREET,R8B, , , , , , , , , ,N,S5,4,0,P,"D & G 432, LLC",2348,5052,842,4210,0,842,0,0,0,0,2,1,4,6,7,25,93.92,25,50, ,3,N,5,2,42837,158450,0,0,1900,0,0, , ,2.15,4,0,4,1,1004360025,0,32,988830,204272,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,251.3448869,2501.008253,115613,12,0,8857,8857,10,2250,17.84799957,19.92888832,2.080888748,18.05608845,0.624266624,180.5608845 +8858,MN,749,70,104,93,1000,2,3,10001,L024,10,15,5200,1,4,2A,346 WEST 26 STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,18219,0,0,0,0,0,0,0,0,0,7,1,0,0,1,225,70,0,0, ,0,Y,4,5,1901250,2195100,1901250,2195100,0,0,0, , ,0,0,0,0,1,1007490070,0,93,984608,211658,8d, ,15S 008,10303, ,1007490024,2/9/1996,1, , ,17V1.1,0,859.7550121,24893.50059,293850,2,0,8858,8858,109,24525,25.07311058,27.46000099,2.386890411,26.1935148,0.604750137,2855.093113 +8859,MN,348,70,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,178 DELANCEY STREET,R8A, , , , , , , , , ,N,O7,5,0, ,HUN YIP LLC,2500,2499,2499,0,2499,0,0,0,0,0,2,1,1,0,2,25,100,25,100, ,2,N,3,2,154350,818100,0,0,1910,0,0, , ,1,6,0,6,1,1003480070,0,1402,988447,200826,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,259.7690967,2735.591615,663750,13,0,8859,8859,12,2700,23.08555603,23.08555603,0,23.08555603,0,277.0266724 +8860,MN,196,27,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,84 WALKER STREET,M1-5, , , , , , , , , ,N,L9,6,0,P,NEW YORK CHINESE ETC,2226,8900,4500,4400,0,0,0,0,0,4500,2,1,4,2,3,24.08,93.83,24,94, ,3,Y,5,2,135000,596700,81000,358020,1915,0,0, , ,4,0,5,6.5,1,1001960027,0,31,983862,200985,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,244.7388368,2388.777293,461700,14,0,8860,8860,10,2250,14.39799976,14.39799976,0,14.39799976,0,143.9799976 +8861,MN,618,8,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,250 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,250 W14 LLC,2444,5760,1440,4320,0,1440,0,0,0,0,2,1,5,6,8,24,101.83,24,102, ,3,Y,5,2,97767,349264,0,0,1900,0,0, , ,2.36,6.02,6,6.5,1,1006180008,0,77,983648,208627,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,245.0718417,2245.647395,251497,8,0,8861,8861,10,2250,22.30444527,23.31888962,1.014444351,22.4058897,0.304333305,224.058897 +8862,MN,981,2,106,62,1004,2,4,10010,E016,13,14,6000,1,6,1B,501 EAST 23 STREET,PARK, , , , , , , , , ,N,P6,9,0,C,PARKS AND RECREATION,79275,19806,19806,0,19806,0,0,0,0,0,2,1,2,0,2,455,295,163.5,140.75, ,0,Y,1,5,3210750,10811700,3210750,10811700,1900,0,0, ,PUBLIC BATHS,0.25,0,0,0,1,1009810002,0,62,991043,207550,12c, ,104 012,10310, ,0, ,1,1,1,17V1.1,0,1338.36847,79990.12612,7600950,11,1,8862,8862,355,79875,6.340000153,12.24699974,5.906999588,6.750293033,0.682285868,2396.354027 +8863,MN,784,28,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,223 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K4,4,0, ,34 ST PENN ASSOCIATIO,13990,61215,61215,0,0,61215,0,0,0,0,2,1,4,0,4,141.67,98.75,141.67,98.75, ,0,N,5,5,9800550,27464400,0,0,2010,0,0, , ,4.38,10,10,10,1,1007840028,0,109,986656,213101,8d, ,105N033,10304, ,1007840028,8/11/2010,1, , ,17V1.1,0,476.2215226,13895.58306,17663900,6,0,8863,8863,62,13950,34.68444443,39.5933342,4.908889771,34.77776343,0.626385031,2156.221333 +8864,MN,791,24,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,129 WEST 15 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,DEBIASO FAMILY LIMITE,2065,3220,0,3220,0,0,0,0,0,0,2,1,4,4,4,20,103.25,20,59, ,3,N,5,5,121168,203299,0,0,1910,0,0, , ,1.56,4,0,4,1,1007910024,0,81,984962,208426,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,254.1023955,2135.157542,82131,7,0,8864,8864,10,2250,27.87888908,32.33000183,4.451112747,29.51900024,1.722235736,295.1900024 +8865,MN,886,75,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,120 EAST 31 STREET,C4-5A, , , , , , , , , ,N,H3,5,0, ,"LEXINGTON ASSOCIATES,",3802,23632,0,0,0,0,0,0,0,0,2,1,8,0,1,38.5,98.75,38.5,89,E,3,N,5,2,855900,4084200,0,0,1915,0,0, , ,6.22,4,4,4,1,1008860075,0,72,989287,210538,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,281.4527393,3972.291987,3228300,10,0,8865,8865,17,3825,31.76000023,33.23199844,1.471998215,33.05882218,0.474262722,561.9999771 +8866,MN,625,3,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,803 GREENWICH STREET,R6,C1-6, , , , , , , , ,Y,C4,2,0, ,MARK FAMILY REALTY,2016,5880,1990,3890,0,1990,0,0,0,0,2,1,4,5,6,24.08,83.75,24.08,83.75,E,0,Y,5,5,76342,213860,0,0,1910,0,0,Greenwich Village Historic District, ,2.92,2.43,0,4.8,1,1006250003,0,79,982519,208123,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,210.590519,1876.730487,137518,8,0,8866,8866,7,1575,15.4800005,15.4800005,0,15.4800005,0,108.3600035 +8867,MN,567,10,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,8 EAST 10 STREET,R7-2, , , , , , , , , ,N,B9,1,0, ,8 EAST 10TH STREET OW,2307,5084,0,5084,0,0,0,0,0,0,2,1,4,2,2,25,92.25,25,62, ,3,N,5,2,41988,267883,1550,1550,1900,2009,2009,Greenwich Village Historic District, ,2.2,3.44,0,6.5,1,1005670010,0,59,985649,206317,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,241.0386855,2352.455622,225895,8,0,8867,8867,11,2475,27.86444473,31.67555618,3.81111145,29.77927347,1.166207763,327.5720081 +8868,MN,927,1,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,362 2 AVENUE,R9A,R8B,C1-9A, ,C1-5, , , , , ,Y,D6,4,0,P,5504-301 E 21ST STREE,13800,185127,4690,180437,0,4690,0,0,0,0,2,1,17,202,211,112.92,125,113,125, ,2,Y,3,2,1719000,17653050,0,0,1930,1982,0, , ,13.42,7.52,0,7.52,1,1009270001,0,64,989419,207662,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,487.2197161,14531.68071,15934100,5,0,8868,8868,66,14850,12.9244442,21.1455555,8.221111298,13.41207552,1.687139579,885.1969843 +8869,MN,429,41,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3A,7 AVENUE A,R8A, , , ,C2-5, , , , , ,N,S2,4,0,P,WILLIAM KLADER,1258,3765,1242,2523,0,1242,0,0,0,0,2,1,3,2,3,49.75,100,29.75,80,E,3,Y,3,5,21566,41003,0,0,1901,0,0, , ,2.99,6,0,6,1,1004290041,0,3002,988036,202544,12c, ,102 011,10205,E-216,1004290041,1/6/1987,1, , ,17V1.1,0,187.1441912,1285.213451,19437,1,0,8869,8869,6,1350,25.1779995,25.1779995,0,25.1779995,0,151.067997 +8870,MN,587,28,102,67,3001,2,3,10014,E024,6,15,6400,1,2,1B,5 MORTON STREET,C2-6,R7-2, , , , , , , , ,Y,C5,2,0, ,BERNARDO FELIX,2200,8125,0,8125,0,0,0,0,0,0,2,1,5,20,20,25,90,25,62, ,3,Y,5,2,254250,1159200,0,0,1900,1987,0,Greenwich Village Historic District Exte, ,3.69,3.44,2,6.5,1,1005870028,0,67,983273,205794,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,229.2432973,2223.272175,904950,9,0,8870,8870,10,2250,18.00777817,18.00777817,0,18.00777817,0,180.0777817 +8871,MN,803,16,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,135 WEST 27 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,135 WEST 27TH OWNERS,4937,54000,54000,0,45000,4500,0,4500,0,0,2,1,12,0,1,50,98.75,50,90, ,0,N,5,2,1278000,4308300,0,0,1912,2001,0, , ,10.94,0,10,10,1,1008030016,0,95,986353,211165,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,309.3679076,5361.40219,3030300,2,0,8871,8871,23,5175,36.93999863,37.16799927,0.228000641,37.14817312,0.064244045,854.4079819 +8872,MN,829,38,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,240 5 AVENUE,C5-2, , , , , , , , , ,N,O2,5,0, ,BIANCA USA REAL ESTAT,2817,11352,11352,0,8852,2500,0,0,0,0,2,1,5,0,1,28.17,100,28,95,E,3,N,5,2,544500,1189350,0,0,1915,1959,0,Madison Square North Historic District, ,4.03,10,10,10,1,1008290038,0,58,987620,210520,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,261.9178547,2800.772401,644850,11,0,8872,8872,12,2700,40.15333176,40.15333176,0,40.15333176,0,481.8399811 +8873,MN,630,30,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,679 GREENWICH STREET,R6, , , , , , , , , ,N,S4,4,0,P,SHUSTER GREENWICH LLC,1410,5952,1984,3968,0,1984,0,0,0,0,2,1,3,4,5,35,67,31,64, ,2,Y,3,5,251181,573631,0,0,1900,1987,0,Greenwich Village Historic District, ,4.22,2.43,0,4.8,1,1006300030,0,75,982236,206339,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,191.5567242,1538.756171,322450,9,0,8873,8873,6,1350,18.16222191,18.68222237,0.520000458,18.24888865,0.193792729,109.4933319 +8874,MN,519,27,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,24 KING STREET,R7-2,R6, , ,C1-5, , , , , ,Y,C4,2,0, ,KING ENTERPRISES LTD,2630,11892,0,11892,0,0,0,0,0,0,2,1,6,24,24,26.17,100.25,26,86, ,3,N,5,2,215100,1651500,0,0,1920,1988,0,Charlton-King-Vandam Historic District, ,4.52,3.44,0,6.5,1,1005190027,0,37,983212,204322,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,262.1138758,2855.3547,1436400,9,0,8874,8874,12,2700,16.83888817,21.65999985,4.821111679,17.63240687,1.774530823,211.5888824 +8875,MN,588,82,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,100 BEDFORD STREET,R6, , , , , , , , , ,N,A1,1,0, ,"TAFFNER BUTLER, KAREN",750,1000,0,1000,0,0,0,0,0,0,2,1,2,1,1,30,25,17,25, ,1,N,5,0,21055,93726,0,0,1899,0,0,Greenwich Village Historic District, ,1.33,2.43,0,4.8,1,1005880082,0,73,982734,206205,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,114.019919,810.1430631,72671,9,0,8875,8875,4,900,20.90555573,22.1511097,1.24555397,21.21694422,0.53934069,84.86777687 +8876,MN,274,36,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,130 MADISON STREET,R7-2, , , , , , , , , ,N,O5,5,0, ,"130 RE, LLC",4189,2914,2914,0,2014,900,0,0,0,0,2,1,1,0,2,26.58,100,26.62,60,E,1,Y,5,0,191250,290250,0,0,1954,0,0, , ,0.7,3.44,0,6.5,1,1002740036,0,8,985987,198722,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,293.8476434,4353.717691,99000,16,0,8876,8876,20,4500,26.40999985,32.39444351,5.984443665,28.18066635,2.283996331,563.613327 +8877,MN,427,7505,103,36.01,3001,1,1,10002,L020,5,14,6500,2,3, ,267 BOWERY,C6-1,R8X, , ,C2-5, , , , , ,Y,RM,4,0, , ,2504,12944,5628,7316,0,5628,0,0,0,0,2,1,5,5,6,24.67,101.5,24.67,80, ,0,Y,0,5,134564,340896,0,0,1910,0,0, , ,5.17,3.44,6,6.5,1,1004277505,2309,3601,986345,202856,12c, ,102 001,10204, ,1004270012,3/23/2012,1, , ,17V1.1,7,262.7387731,2574.294718,206332,9,0,8877,8877,11,2475,40.86999893,45.90000153,5.030002594,41.38981906,1.426622035,455.2880096 +8878,MN,784,68,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,248 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,O6,5,0,P,248 WEST 35TH STREET,7406,133948,133948,0,131323,2625,0,0,0,0,2,1,16,0,44,75,98.75,75,99, ,0,N,5,5,868500,8404200,0,0,1925,0,0, , ,18.09,0,10,10,1,1007840068,0,109,986431,213344,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,346.8854505,7376.007482,7535700,6,0,8878,8878,31,6975,34.68444443,34.68444443,0,34.68444443,0,1075.217777 +8879,MN,525,60,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,96 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,96 W HOUSTON LLC,2250,3684,800,2884,0,800,0,0,0,0,2,1,3,4,5,25,90,25,90, ,3,Y,5,5,115065,241339,0,0,1900,0,0,South Village Historic District, ,1.64,3.44,0,6.5,1,1005250060,0,65,984225,204275,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,232.9000335,2249.860008,126274,9,0,8879,8879,10,2250,23.62666702,23.62666702,0,23.62666702,0,236.2666702 +8880,MN,622,16,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,400 BLEECKER STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,400 BLEECKER STREET C,1465,6760,1250,5510,0,1250,0,0,0,0,2,1,5,8,10,25.5,57.75,25,57,E,2,Y,3,2,175497,499088,0,0,1910,0,0,Greenwich Village Historic District, ,4.61,3.44,2,6.5,1,1006220016,0,73,982807,207345,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,171.5102243,1557.799794,323591,8,0,8880,8880,6,1350,22.42000008,25.60000038,3.180000305,23.4333334,1.435347415,140.6000004 +8881,MN,626,25,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,632 HUDSON STREET,C1-6, , , , , , , , , ,N,K4,4,0, ,"632 ONHUDSON, LLC",2052,8150,1956,6194,0,1956,0,0,0,0,2,1,4.5,2,3,23,90,23,86, ,3,Y,5,2,156600,802350,0,0,1900,0,0,Greenwich Village Historic District, ,3.97,3.44,2,6.5,1,1006260025,0,77,982802,208309,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,235.587051,2202.731585,645750,8,0,8881,8881,10,2250,17.68444443,17.68444443,0,17.68444443,0,176.8444443 +8882,MN,52,10,101,13,1010,2,1,10006,E010,1,15,7700,1,1,1A,137 GREENWICH STREET,C5-5, , , , , ,LM, , , ,N,D5,3,0, ,JASOTA & SONS LLC,3795,18319,3840,14479,0,3840,0,0,0,0,2,1,5,12,14,48.25,85.25,48,85, ,2,Y,3,2,603000,2959200,0,0,1916,0,0, , ,4.83,10,15,15,1,1000520010,0,13,980742,197767,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,266.3728536,4149.627671,2356200,3,0,8882,8882,19,4275,12.78666687,15.47333336,2.686666489,14.05390674,0.4367677,267.0242281 +8883,MN,564,34,102,61,3003,2,2,10003,L003,9,15,5700,1,2,3A,826 BROADWAY,C6-1, , , , , , , , , ,N,O6,5,0, ,"BASS REAL ESTATE,",10057,132000,132000,0,90000,42000,0,0,0,0,2,1,11,0,12,42.92,153.5,42.92,153, ,3,Y,3,2,1777500,14200650,0,0,1903,0,0, , ,13.13,3.44,6,6.5,1,1005640034,0,61,986836,206407,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,515.5965958,11696.88919,12423200,8,0,8883,8883,53,11925,42.18444443,43.90000153,1.715557098,42.24779878,0.320003058,2239.133335 +8884,MN,630,34,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,687 GREENWICH STREET,R6, , , , , , , , , ,N,A9,1,0, ,"GORRAN, SCOTT",711,2844,0,2133,0,0,0,0,0,0,2,1,3,1,1,30.1,23.7,30.1,23.7,E,2,Y,5,1,71019,151372,0,0,1989,0,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1006300034,0,75,982237,206430,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,107.1359362,703.0615846,80353,9,0,8884,8884,2,450,18.16222191,19.0644455,0.902223587,18.6133337,0.451111794,37.2266674 +8885,MN,348,43,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,88 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,D7,4,0, ,88 CLINTON LLC,2500,11612,1617,9995,0,1617,0,0,0,0,2,1,7,7,8,25,100,25,100,E,0,N,5,2,37577,116461,0,0,1910,2014,2014, , ,4.64,4,0,4,1,1003480043,0,1402,988368,201009,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,256.753527,2597.896952,78884,13,0,8885,8885,12,2700,23.08555603,27.60777855,4.522222519,23.76614873,1.53235226,285.1937847 +8886,MN,883,54,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,154 EAST 28 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,154 E 28 STREET CORP,987,3792,0,3792,0,0,0,0,0,0,2,1,4,5,5,20,49.33,20,45, ,3,N,5,5,102902,178248,0,0,1900,1958,0, , ,3.84,4,0,4,1,1008830054,0,68,989385,209629,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,145.8641215,1057.650302,75346,11,0,8886,8886,5,1125,33.40789032,39.34777832,5.939888,34.59586792,2.3759552,172.9793396 +8887,MN,107,50,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,277 WATER STREET,C6-2A, , , , , ,LM, , , ,N,S4,4,0,P,"KWONG, SINMAN",1738,8032,1552,6480,0,1552,0,0,0,0,2,1,5,4,5,24.58,72.33,25,72, ,3,Y,5,5,409890,619405,0,0,1920,0,2009,South Street Seaport Historic District, ,4.62,6.02,6,6.5,1,1001070050,0,1501,983997,197432,12d, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,194.9309875,1748.340026,209515,4,1,8887,8887,8,1800,6.215000153,9.204443932,2.989443779,6.588680625,0.9886656,52.709445 +8888,MN,764,55,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,230 WEST 15 STREET,R8B, , , , , , , , , ,N,B1,1,0,P,230 TOWNHOUSE LLC,2141,4596,0,3750,0,0,0,0,0,0,2,1,3,2,2,24.75,86.5,25,50,E,3,N,5,1,114733,448488,0,0,1910,2006,0, , ,2.15,4,0,4,1,1007640055,0,81,984040,208762,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,226.3520691,2173.890921,333755,7,0,8888,8888,9,2025,22.05333328,25.31222153,3.258888245,22.87416034,1.066844957,205.8674431 +8889,MN,459,31,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,61 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,61 MEATH REALTY CORP,2400,8391,2678,5713,1000,1678,0,0,0,0,2,1,5,8,10,24,100,24,100,E,3,N,5,2,83059,265857,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.5,4,0,4,1,1004590031,0,38,987039,203794,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,250.7095192,2432.505685,182798,1,0,8889,8889,10,2250,35.86666489,35.86666489,0,35.86666489,0,358.6666489 +8890,MN,935,42,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,334 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"STEINBERG, SHARON",2222,5718,0,4600,0,0,0,0,0,0,2,1,4,3,3,22.5,98.75,23,50, ,3,N,5,1,154000,277236,0,0,1910,1987,0, , ,2.57,3,0,3,1,1009350042,0,70,990799,209405,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,249.0893783,2327.050957,123236,10,0,8890,8890,11,2475,34.29333496,36.75888824,2.465553284,35.09852635,0.597101878,386.0837898 +8891,MN,563,1,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,83 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,O6,5,0, ,41 EAST 11TH STREET,18375,191223,191223,0,181223,10000,0,0,0,0,2,1,11,0,13,157.33,141.5,157.33,141, ,3,Y,3,2,3177000,22740750,0,0,1906,0,0, , ,10.41,6.02,2,6.5,1,1005630001,0,61,986238,206477,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,568.220964,20047.2852,19563800,8,0,8891,8891,89,20025,36.55666733,40.83111191,4.27444458,36.67489453,0.515486084,3264.065613 +8892,MN,572,49,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,11 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,D7,4,0, ,SHOE GROUP LLC,6950,30858,5050,25808,0,5050,0,0,0,0,2,1,6,31,36,74,93.92,74,76, ,3,N,5,2,940500,4697100,0,0,1920,1983,0,Greenwich Village Historic District, ,4.44,3.44,3.4,6.5,1,1005720049,0,63,985041,206265,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,344.0839997,7267.852095,3756600,8,0,8892,8892,31,6975,18.70499992,19.03333282,0.328332901,18.71559131,0.058011399,580.1833305 +8893,MN,411,7503,103,30.01,2000,1,1,10002,L018,7,14,6600,2,3, ,133 ESSEX STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,4050,15276,4219,11057,0,4219,0,0,0,0,2,1,8,16,18,46,90,45,89, ,0,N,0,5,359998,2619899,11800,11800,1900,2004,2003, , ,3.77,4,4,4,1,1004117503,1576,3001,987672,201679,12c, ,102 033,10204, ,1004110066,9/7/2006,1, , ,17V1.1,7,276.6852633,4233.107833,2259900,13,0,8893,8893,19,4275,30.50799942,33.32066727,2.812667847,30.65603457,0.62805995,582.4646568 +8894,MN,593,42,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,20 CHRISTOPHER STREET,R6, , , , , , , , , ,N,S4,4,0, ,MARTIN CELESTE,1240,1554,400,1154,0,400,0,0,0,0,2,1,2.5,4,5,21,61.67,19,37, ,3,Y,5,5,122201,267885,0,0,1910,1987,0,Greenwich Village Historic District, ,1.25,2.43,0,4.8,1,1005930042,0,71,984070,206607,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,193.2967966,1441.436092,145684,8,0,8894,8894,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +8895,MN,232,5,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,444 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,ANISAL REALTY CORP,6944,34000,34000,0,27200,6800,0,0,0,0,2,1,5,0,5,25,198.17,25,198, ,0,Y,5,2,900000,3553650,0,0,1910,2000,0,SoHo-Cast Iron Historic District, ,4.9,0,5,6.5,1,1002320005,0,45,984114,201606,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,516.7930622,7180.605145,2653650,0,0,8895,8895,33,7425,14.35888863,16.8599987,2.501110077,14.50404011,0.572058714,478.6333237 +8896,MN,693,31,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,185 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,M1,8,0, ,RC CHUR GUARDIAN ANGE,5867,25500,25500,0,0,0,0,0,0,25500,2,1,1,0,1,58.67,100,58.67,100, ,2,N,3,2,693000,1445850,0,0,1900,0,0, , ,4.35,6.02,6,6.5,1,1006930031,0,99,982775,211309,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,315.8808861,5644.847141,752850,7,1,8896,8896,26,5850,7.920000076,7.920000076,0,7.920000076,0,205.920002 +8897,MN,500,32,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,91 GREENE STREET,M1-5A, , , , , , , , , ,N,K1,5,0, ,91 GREENE LLC,1374,3110,3110,0,0,2000,0,1110,0,0,2,1,1,0,1,18,76.33,17.1,70, ,0,N,5,5,309150,2407500,0,0,1999,2004,0,SoHo-Cast Iron Historic District, ,2.26,0,5,6.5,1,1005000032,0,49,984171,203125,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,198.341514,1564.171794,2098350,0,0,8897,8897,7,1575,21.4659996,21.86688805,0.400888443,21.52326938,0.140281733,150.6628857 +8898,MN,804,68,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,154 WEST 29 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,"NYMPHEAS, LLC",2420,4447,4447,0,0,2350,0,2097,0,0,2,1,2,0,3,24.5,98.75,25,94,E,3,N,5,0,319500,522000,0,0,1915,1985,0, , ,1.84,0,10,10,1,1008040068,0,95,986381,211558,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,256.5374362,2693.10959,202500,6,0,8898,8898,12,2700,33.49399948,36.54666901,3.052669525,33.74838861,0.843713285,404.9806633 +8899,MN,571,18,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,30 EAST 14 STREET,C6-4,C6-1, , , , ,US, , , ,Y,C7,4,0, ,DADON REALTY LLC,5163,20901,4600,16300,0,4600,0,0,0,0,2,1,5,20,22,50,103.25,50,103, ,2,N,5,2,859500,6101100,0,0,1910,1967,2001, , ,4.05,10,10,10,1,1005710018,0,61,986385,207105,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,309.4650508,5259.287155,5241600,8,0,8899,8899,22,4950,36.25,38.4655571,2.215557098,36.35070714,0.461498096,799.7155571 +8900,MN,489,35,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,63 THOMPSON STREET,M1-5B,R7-2, , , , , , , , ,Y,C7,4,0,P,63 THOMPSON ST HSG DE,3733,15360,1025,14335,0,1025,0,0,0,0,2,1,6,21,23,37.33,100,37,85, ,3,N,5,2,175500,1197450,0,390699,1900,2009,0,Sullivan-Thompson Historic District, ,4.11,0,5,6.5,1,1004890035,0,47,983301,203157,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,276.6593967,3786.459076,1021950,0,1,8900,8900,17,3825,9.686666489,9.686666489,0,9.686666489,0,164.6733303 +8901,MN,770,23,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,231 WEST 20 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,DR JAMES F SOBRINO,1963,3150,0,3150,0,0,0,0,0,0,2,1,3,10,10,25,76,25,39, ,3,Y,5,2,47468,221517,45630,45630,1910,1985,0, , ,1.6,4,0,4,1,1007700023,0,87,984713,209967,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,206.6822943,1989.687403,174049,7,0,8901,8901,9,2025,22.20999908,22.20999908,0,22.20999908,0,199.8899918 +8902,MN,409,27,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,248 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,SMGB BROOME LLC,2662,12348,2281,10067,0,2281,0,0,0,0,2,1,6,22,24,30.42,87.5,30,77, ,3,N,5,2,157050,1958400,0,0,1920,1988,0, , ,4.64,4,4,4,1,1004090027,0,18,987130,200912,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,238.9349235,2669.622426,1801350,13,0,8902,8902,12,2700,35.36399841,35.36399841,0,35.36399841,0,424.367981 +8903,MN,732,70,104,111,2003,2,3,10001,L021,10,15,5500,1,4,2B,444 10 AVENUE,C6-4, , , , , ,HY, , , ,N,H2,5,0, ,CARE REALTY CORP,4942,48264,0,0,0,0,0,0,0,0,2,1,14,0,148,49.42,100,0,0, ,2,Y,3,2,1890450,13635900,0,0,2014,0,0, , ,9.77,10,10,10,1,1007320070,0,111,984680,214342,8d, ,105S029,10302,E-137,1007320070,9/13/1991,1, , ,17V1.1,0,313.79586,5503.766674,11745500,6,0,8903,8903,19,4275,45.44666672,47.36666489,1.919998169,46.68479538,0.543369113,887.0111122 +8904,MN,400,48,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,219 EAST 4 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,COQUI REALTY CO INC,1923,6500,0,6500,0,0,0,0,0,0,2,1,5,8,8,20,96.17,20,64, ,3,N,5,2,16458,73183,0,0,1900,0,0, , ,3.38,3,0,3,1,1004000048,0,32,988898,202985,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,247.5819459,2075.850155,56725,1,0,8904,8904,9,2025,15.8922224,19.06888962,3.176667213,17.07714854,1.428725449,153.6943369 +8905,MN,882,38,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,151 EAST 26 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,POMPANO LLC,2469,9865,0,9865,0,0,0,0,0,0,2,1,6,24,24,25,98.75,25,87, ,3,N,5,2,292500,1156950,0,0,1910,0,0, , ,4,4,0,4,1,1008820038,0,68,989160,209314,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,252.3033404,2450.048595,864450,11,0,8905,8905,10,2250,31.85222244,34.88444519,3.032222748,32.15544472,0.909666824,321.5544472 +8906,MN,644,10,102,79,1006,2,3,10014,L005,6,15,6100,1,2,3B,820 WASHINGTON STREET,M1-5, , , , , , , , , ,N,Y8,7,1,C,NYC PARKS,17436,24801,24801,0,0,0,0,0,0,24801,2,1,4,0,1,130,184,143,172, ,1,Y,3,0,1431000,5070150,1431000,5070150,2011,0,0, , ,1.42,0,5,6.5,1,1006440010,0,79,981912,208779,8b, ,103 039,10210, ,0, ,1,1,1,17V1.1,0,630.2674881,13859.12487,3639150,8,1,8906,8906,60,13500,9.140000343,10.95777798,1.817777634,9.197926283,0.262658349,551.875577 +8907,MN,228,2,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,359 CANAL STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,"CANAL ASSOCIATES, L.P",1335,6019,1315,4704,0,1315,0,0,0,0,2,1,5,4,5,18.92,69.33,19,69,E,3,Y,5,5,380381,575377,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.51,0,5,6.5,1,1002280002,0,47,983166,202009,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,179.3328483,1426.815669,194996,0,1,8907,8907,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +8908,MN,434,15,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,102 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,102 E 7TH ST. LLC,2271,8110,1622,6488,0,1622,0,0,0,0,2,1,5,8,10,25,90.83,25,65, ,3,N,5,2,25696,149087,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.57,4,0,4,1,1004340015,0,32,988381,203951,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.5960997,2332.451802,123391,12,0,8908,8908,11,2475,18.26222229,22.91333389,4.651111603,19.62499012,1.844902441,215.8748913 +8909,MN,520,85,102,37,2000,2,3,10014,L020,1,15,6800,1,2,1A,5 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C6,2,0, ,"DONCASTER REALTY, LLC",1916,7283,1266,6017,0,1266,0,0,0,0,2,1,5,17,18,34.9,72.75,29,63, ,3,Y,3,5,175500,1106100,0,0,1925,2015,2011,Charlton-King-Vandam Historic District, ,3.8,3.44,0,6.5,1,1005200085,0,37,983460,204436,12a, ,11N 068,10206, ,1005200085,7/7/2005,1, , ,17V1.1,0,209.1843464,2124.751537,930600,9,0,8909,8909,8,1800,21.50111198,22.52999878,1.028886795,21.64375043,0.336978436,173.1500034 +8910,MN,181,6,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3A,20 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0,P,"20 HARRISON ST., LLC",1656,6500,1200,5300,0,1200,0,0,0,0,2,1,4,2,3,18.75,87.5,18.75,83,E,3,N,3,5,43883,109485,0,0,1899,0,0,Tribeca West Historic District, ,3.93,6.02,6,6.5,1,1001810006,0,39,981534,201207,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,223.0258929,1739.388211,65602,14,0,8910,8910,9,2025,17,18.14299965,1.142999649,18.01599969,0.359210135,162.1439972 +8911,MN,603,70,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,451 HUDSON STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,451 HUDSON ST OWNERS,1475,5800,0,5800,0,0,0,0,0,0,2,1,3.5,3,3,25,59,25,42, ,3,N,5,2,168758,466440,7080,7080,1920,1965,2005,Greenwich Village Historic District, ,3.93,3.44,2,6.5,1,1006030070,0,69,982322,205683,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,169.2996021,1508.314842,297682,9,0,8911,8911,8,1800,15.32666683,18.32999992,3.003333092,16.03375006,1.227825855,128.2700005 +8912,MN,832,24,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,29 WEST 30 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,SB 29 WEST LLC,6913,68764,68764,0,56764,12000,0,0,0,0,2,1,12,0,15,70,98.75,70,93, ,2,N,5,2,2466000,9012600,0,0,1915,1988,0, , ,9.95,0,10,10,1,1008320024,0,76,987605,211353,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,345.6037171,7230.617142,6546600,10,0,8912,8912,31,6975,43.61000061,45.45444489,1.844444275,43.66949881,0.325885076,1353.754463 +8913,MN,885,4,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,429 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,H3,5,0,P,PARK AVENUE HOSPITALI,3133,16370,0,0,0,0,0,0,0,0,2,1,7,0,2,31.33,100,31,98, ,3,N,5,2,1611000,3594600,0,0,1900,1997,1989, , ,5.23,10,10,10,1,1008850004,0,72,988927,210366,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,263.6683347,3159.445485,1983600,10,0,8913,8913,14,3150,32.84000015,33.1566658,0.316665649,32.86261913,0.081553874,460.0766678 +8914,MN,595,82,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,488 GREENWICH STREET,C6-2A, , , , , , , , , ,N,A9,1,0, ,"HENDRICKS, JON",1260,1360,0,1360,0,0,0,0,0,0,2,1,2.5,1,1,20,65.5,20,34, ,2,Y,5,2,6464,27228,1550,1550,1899,0,0, ,488 GREENWICH STREET HOUSE,1.08,6.02,6,6.5,1,1005950082,0,37,981631,203515,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,174.3426363,1358.969036,20764,0,1,8914,8914,5,1125,8.068888664,8.821000099,0.752111435,8.520155525,0.368457849,42.60077763 +8915,MN,162,28,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,11 DOYERS STREET,C6-1, , , , , , , , , ,N,K4,4,0,P,VDM ENTERPRISE CORP.,2360,6360,6360,0,2120,4240,0,0,0,0,2,1,2,0,3,39,51.42,40,49, ,3,Y,5,2,106200,532350,0,0,1920,0,0, , ,2.69,3.44,6,6.5,1,1001620028,0,29,984732,199572,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,211.3939192,2577.218931,426150,16,0,8915,8915,12,2700,30.90500069,37.26333237,6.35833168,32.37675969,2.564301921,388.5211163 +8916,MN,193,25,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,31 WALKER STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,"ONLY PROPERTIES, LLC",2263,10710,1750,8960,0,1750,0,0,0,0,2,1,5,3,5,53.17,42.67,49,42, ,2,N,3,5,551632,781611,0,0,1910,0,0,Tribeca East Historic District, ,4.73,6.02,6,6.5,1,1001930025,0,33,983076,201322,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,205.4091569,2611.574229,229979,14,0,8916,8916,11,2475,13.68111134,15.14333344,1.462222099,13.99444459,0.524590473,153.9388905 +8917,MN,574,18,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,52 WEST 11 STREET,R6, , , , , , , , , ,N,A5,1,0, ,STAVROS LIDSAY,2053,4720,0,3586,0,0,0,0,0,0,2,1,3,1,1,21.67,94.75,21.67,42, ,3,N,5,1,62102,290066,0,0,1899,2008,0,Greenwich Village Historic District, ,2.3,2.43,0,4.8,1,1005740018,0,63,985037,206942,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,240.1511956,2246.442317,227964,8,0,8917,8917,10,2250,23.68066597,25.23399925,1.553333282,24.27993279,0.392515493,242.7993279 +8918,MN,886,16,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,123 EAST 30 STREET,C4-5A, , , , , , , , , ,N,A7,1,0,X,PERMANENT MISSION OFT,1901,5790,0,4825,0,0,0,0,0,0,2,1,5,1,1,19.25,98.75,19.25,50, ,0,N,5,1,79480,223948,79480,223948,1920,0,0, , ,3.05,4,4,4,1,1008860016,0,72,989214,210461,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,245.4501603,1883.872233,144468,10,0,8918,8918,8,1800,33.23199844,34.6511116,1.419113159,33.44310999,0.460891698,267.5448799 +8919,MN,348,56,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,179 RIVINGTON STREET,R7A, , , , , , , , , ,N,C2,2,0,P,"RED INDUSTRIES, LLC",2027,6400,0,6400,0,0,0,0,0,0,2,1,4,6,6,50.67,40,40,40, ,0,N,3,5,144698,559521,0,0,2003,0,0, , ,3.16,4,0,4,1,1003480056,0,1402,988557,201142,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,190.5275746,2249.840114,414823,13,0,8919,8919,10,2250,23.08555603,24.19666672,1.111110687,23.1966671,0.333333206,231.966671 +8920,MN,234,17,102,45,1008,2,1,10013,E055,5,15,6800,1,2,1A,211 CENTRE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,GRAND MACHINERY EXCHA,8145,46700,46700,0,41700,5000,0,0,0,0,2,1,6,0,12,74.83,108.08,75,111, ,3,Y,4,2,607500,3089250,0,0,1915,0,0, , ,5.73,0,5,6.5,1,1002340017,0,45,984474,201391,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,383.5915277,8758.245313,2481750,0,0,8920,8920,39,8775,19.80599976,21.61222267,1.806222916,20.18721121,0.237801161,787.3012371 +8921,MN,790,57,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,136 WEST 15 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,"BELL, JOYCE",1291,2640,0,2640,0,0,0,0,0,0,2,1,4,2,2,12.5,103.25,12.5,55, ,2,N,5,2,26944,99283,1550,1550,1901,0,0, , ,2.04,4,0,4,1,1007900057,0,81,984782,208342,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,235.260084,1266.613407,72339,7,0,8921,8921,6,1350,27.73777771,27.79999924,0.062221527,27.74814796,0.023188594,166.4888878 +8922,MN,406,3,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,198 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,198 AVE A MANAGEMENTC,2472,8942,1000,7942,0,1000,0,0,0,0,2,1,5,8,9,25.75,96,26,64, ,3,N,5,2,78480,241503,0,0,1910,1987,2013, , ,3.62,4,0,4,1,1004060003,0,34,989548,204942,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,245.0242181,2535.864565,163023,12,0,8922,8922,12,2700,13.0880003,17.46999931,4.381999016,14.32088908,1.832771689,171.8506689 +8923,MN,758,82,104,111,1003,2,3,10001,L021,14,15,5500,1,4,2A,440 9 AVENUE,C6-4, , , , , ,HY, , , ,N,O6,5,0,P,UNIZO REAL ESTATE ONE,19634,342596,342596,0,327596,15000,0,0,0,0,2,1,18,0,1,98.75,198.83,98.75,198.83, ,0,N,3,5,4590000,44511750,0,0,1927,1999,0, , ,17.45,10,10,10,1,1007580082,0,111,985499,213860,8d, ,105N031,10304, ,0, ,1, , ,17V1.1,0,612.0063408,20965.94386,39921800,6,0,8923,8923,84,18900,38.14200211,45.94444656,7.802444458,38.50518722,1.48567154,3234.435726 +8924,MN,610,54,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2K,19 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,"GREEN 19, LLC",2100,9093,1050,8043,0,1050,0,0,0,0,2,1,5,12,13,25,86,25,77, ,3,Y,5,2,191250,1728000,0,0,1920,0,0,Greenwich Village Historic District, ,4.33,3.44,2,6.5,1,1006100054,0,71,984205,206858,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,224.0208006,2235.174188,1536750,8,0,8924,8924,10,2250,18.18777847,18.18777847,0,18.18777847,0,181.8777847 +8925,MN,577,7503,102,63,1000,2,3,10011,L003,6,15,5700,3,2, ,3 WEST 13 STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,2581,12930,4134,8796,0,4134,0,0,0,0,2,1,9,7,9,25,103.25,25,103, ,0,N,0,5,26139,1381110,0,0,1900,0,0, , ,5.01,6.02,6,6.5,1,1005777503,1793,63,985753,207332,12c, ,103 020,10207, ,1005770047,1/8/2008,1, , ,17V1.1,7,267.8973773,2812.325782,1354970,8,0,8925,8925,12,2700,30.09499931,30.36999893,0.274999619,30.11791595,0.076005879,361.4149914 +8926,MN,384,24,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,239 EAST 2 STREET,R8A, , , , , , , , , ,N,C1,2,0,P,JOSEPH CARDONA MEMOET,1850,7300,0,7300,0,0,0,0,0,0,2,1,5,7,7,25.33,72.08,25,60, ,3,Y,5,0,17029,269715,6833,259519,1900,1989,0, , ,3.95,6,0,6,1,1003840024,0,2202,989206,202048,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,206.1669016,1999.66373,252686,1,0,8926,8926,9,2025,17.33399963,17.64644432,0.312444687,17.37249353,0.0974347,156.3524418 +8927,MN,875,79,105,50,1003,2,2,10003,E014,13,14,5300,1,5, ,245 PARK AVENUE SOUTH,R7B,C6-4A, , , , , , , ,LH-1,Y,D8,3,0,P,SP GRAMERCY PROPERTIE,11654,44713,6000,38713,2500,3500,0,0,0,0,2,1,6,55,63,92,126.67,92,115, ,2,N,3,2,1566000,8043750,0,0,1940,1987,0, , ,3.84,3,0,3,1,1008750079,0,50,987711,208149,8d,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,463.3288811,13100.49668,6477750,5,0,8927,8927,58,13050,30.81999969,36.16699982,5.347000122,31.71965879,1.627697698,1839.74021 +8928,MN,613,8,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,281 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"CRAZY SNACK 05, LLC",858,2040,0,2040,0,0,0,0,0,0,2,1,3,1,1,17.17,50,17.17,40, ,0,N,5,2,59392,170086,0,0,1899,2008,2008,Greenwich Village Historic District, ,2.38,2.43,0,4.8,1,1006130008,0,73,983333,207415,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,143.6930702,975.6551441,110694,8,0,8928,8928,5,1125,25.34199905,27.35000038,2.008001328,25.90364418,0.786791208,129.5182209 +8929,MN,555,40,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,109 EAST 9 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,171 HOLDING CORP,2070,8462,8460,0,0,4140,0,4320,0,0,2,1,5,3,4,30,69,30,69,E,2,N,5,2,69300,1151550,0,0,1900,0,0, , ,4.09,6.02,6,6.5,1,1005550040,0,42,987052,205419,12c, ,102 017,10207, ,0, ,1, , ,17V1.1,0,204.006365,2193.402964,1082250,12,0,8929,8929,8,1800,38.18777847,38.18777847,0,38.18777847,0,305.5022278 +8930,MN,29,22,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,77 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,HVW ASSOCIATES,2203,7246,3624,3622,0,1812,0,1812,0,0,2,1,3,4,10,21.25,85.25,21.25,85.25, ,0,Y,5,2,693000,1751400,0,0,1983,1983,0,Stone Street Historic District, ,3.29,10,15,15,1,1000290022,0,9,981340,195778,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,226.9750847,2375.910821,1058400,17,1,8930,8930,11,2475,11.36999989,11.57888889,0.208889008,11.53626277,0.053222333,126.8988905 +8931,MN,232,9,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,452 BROADWAY,M1-5B, , , , , , , , , ,N,D4,3,0, ,SIXTEEN CROSBY STREET,8812,42111,8717,33394,0,8717,0,0,0,0,2,1,5,25,28,24,200,75,198, ,3,Y,4,2,792000,5017500,7080,7080,1900,0,0,SoHo-Cast Iron Historic District, ,4.78,0,5,6.5,1,1002320009,0,45,984158,201651,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,563.7487368,8996.527084,4225500,0,0,8931,8931,40,9000,14.35888863,19.94333267,5.584444046,14.53769417,0.899514941,581.5077667 +8932,MN,17,7502,101,13,1016,2,1,10006,E010,1,15,7700,1,1, ,33 RECTOR STREET,C6-9, , , , , ,LM, , , ,N,RM,4,0, , ,2967,33185,5435,27750,1988,3447,0,0,0,0,2,1,15,13,15,30,89,0,0, ,0,Y,0,5,541797,5886899,7080,7080,1920,0,0, , ,11.18,10,15,15,1,1000177502,1192,13,980104,197332,12b, ,11S 003,10101, ,1000170027,12/20/2001,1,1,1,17V1.1,7,252.2200709,3084.756585,5345100,15,1,8932,8932,13,2925,7.869999886,7.869999886,0,7.869999886,0,102.3099985 +8933,MN,768,1,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,162 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,WILLIAM GOTTLIEB,1290,3548,1290,2258,0,1290,0,0,0,0,2,1,3,8,10,21.5,60,21.5,45, ,0,N,5,5,54599,210108,0,0,1920,1961,0, , ,2.75,4,2,4,1,1007680001,0,87,984143,209696,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,166.6569835,1370.416385,155509,7,0,8933,8933,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +8934,MN,754,30,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,315 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"PR30,",1975,4876,0,4876,0,0,0,0,0,0,2,1,3,16,16,20,98.75,20,53, ,3,N,5,1,135000,441000,0,0,1920,2003,0, , ,2.47,4,0,4,1,1007540030,0,103,985350,212597,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,258.6018379,2317.71013,306000,6,0,8934,8934,10,2250,33.64555359,34.24333191,0.59777832,33.85916634,0.217884985,338.5916634 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,17V1.1,0,263.3808675,2667.251189,1115100,12,0,8962,8962,11,2475,13.81444454,14.7913332,0.976888657,13.9032526,0.280835743,152.9357786 +8963,MN,912,18,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,231 EAST 31 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,MANMOR CORP.,1975,5080,0,5080,0,0,0,0,0,0,2,1,4,10,10,20,98.75,20,52, ,3,N,5,1,144031,558457,0,0,1926,1988,0, , ,2.57,3,0,3,1,1009120018,0,70,990307,210152,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,243.9970446,2129.469582,414426,10,0,8963,8963,9,2025,26.45000076,29.6511116,3.20111084,26.98271667,0.975721943,242.84445 +8964,MN,218,13,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,424 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,68 LAIGHT ST OWNERS C,2812,18788,0,18788,0,0,0,0,0,0,2,1,7,10,10,37.5,75.08,38,75, ,2,N,3,2,497807,995410,4720,4720,1915,1970,0,Tribeca North Historic District, ,6.68,6.02,6,6.5,1,1002180013,0,39,981479,202425,12a, ,101N040,10105, ,0, ,1, ,1,17V1.1,0,232.3180274,2982.736707,497603,0,1,8964,8964,15,3375,7.816666603,7.816666603,0,7.816666603,0,117.249999 +8965,MN,573,7503,102,63,3000,2,3,10011,E033,6,15,5700,3,2, ,12 WEST 10 STREET,R6, , , , , , , , , ,N,R1,2,0, , ,2953,9850,0,9850,0,0,0,0,0,0,2,1,4,4,4,32,92.27,32,86, ,0,N,5,5,123160,928114,0,0,1910,1963,0,Greenwich Village Historic District, ,3.34,2.43,0,4.8,1,1005737503,1418,63,985250,206539,12c, ,103 019,10207, ,1005730036,5/12/2005,1, , ,17V1.1,7,251.6407645,3024.201917,804954,8,0,8965,8965,12,2700,18.98099899,27.19666672,8.215667725,20.54361963,2.794311397,246.5234356 +8966,MN,389,45,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,631 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,THE BRIDGE INCORPORAT,2271,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,56, ,0,N,5,5,40781,180902,40781,180902,1900,0,0, , ,3.08,4,0,4,1,1003890045,0,2602,989800,203059,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,239.8341156,2328.520118,140121,12,1,8966,8966,11,2475,9.168999672,9.978889465,0.809889793,9.401686755,0.318306956,103.4185543 +8967,MN,135,11,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,24 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,B3,1,0, ,"24-26 WARREN, LLC.",2523,11515,0,11515,0,0,0,0,0,0,2,1,7,2,2,25,100.92,25,101, ,1,N,5,2,30185,165398,0,0,1915,2006,2007, , ,4.56,7.52,6,7.5,1,1001350011,0,21,982079,199539,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,258.0132122,2649.106923,135213,3,0,8967,8967,11,2475,32.66199875,32.66199875,0,32.66199875,0,359.2819862 +8968,MN,401,46,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,535 EAST 5 STREET,R7B, , , , , , , , , ,N,D6,4,0,P,"UNITED MUTUAL HOUSES,",8934,36330,5292,31038,0,0,0,0,0,5292,2,1,6,30,31,26.33,97,0,0, ,0,N,5,5,244350,2268900,244350,2268900,2000,2014,0, , ,4.07,3,0,3,1,1004010046,0,32,989078,203171,12c, ,102 021,10203, ,1004010046,12/21/2000,1, , ,17V1.1,0,384.5293515,9215.96416,2024550,1,0,8968,8968,41,9225,14.20666695,15.89111137,1.684444427,14.24775096,0.259838097,584.1577892 +8969,MN,455,36,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,231 1 AVENUE,C1-7A, , , , , , , , , ,N,S3,4,0,P,"1ST KAY REALTY, LLC",1200,4205,1051,3154,0,1051,0,0,0,0,2,1,4,3,4,20,60,20,60,E,3,N,5,5,160453,238924,0,0,1900,1981,0, , ,3.5,6.02,2,6.5,1,1004550036,0,40,988950,205657,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,162.7859735,1180.221508,78471,12,0,8969,8969,5,1125,22.17099953,22.17099953,0,22.17099953,0,110.8549976 +8970,MN,547,18,102,59,3003,2,1,10003,E033,6,15,5700,1,2,2A,10 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W9,8,0,P,NEW YORK UNIVERSITY,2068,20550,20550,0,18700,1850,0,0,0,0,2,1,10,0,14,25,82.75,25,82.75, ,3,Y,3,2,176400,1644750,162288,1630638,1910,0,0, , ,9.94,3.44,0,6.5,1,1005470018,0,59,985829,205188,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,225.561482,2339.430982,1468350,9,0,8970,8970,10,2250,34.72000122,35.40844345,0.68844223,34.78884544,0.206532669,347.8884544 +8971,MN,423,27,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,248 GRAND STREET,C6-3A, , , , , ,TA, , , ,N,M9,8,0,X,EVANGELICAL MISSION A,1875,9365,9365,0,0,0,0,0,0,9365,2,1,5,0,1,25,75,25,72, ,3,N,5,2,254250,617400,254250,617400,1900,1985,2005, , ,4.99,7.52,6,7.5,1,1004230027,0,18,985908,201013,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,203.5672435,1882.541059,363150,0,0,8971,8971,9,2025,34.16999817,34.16999817,0,34.16999817,0,307.5299835 +8972,MN,206,14,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1A,186 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0,P,WEST 27 LLC,2500,7675,0,7675,0,0,0,0,0,0,2,1,5,6,6,25,100,25,53, ,2,Y,5,5,65849,193072,0,0,1900,1984,0, , ,3.07,6.02,6,6.5,1,1002060014,0,41,984712,200891,12c, ,101N048,10105, ,0, ,1, , 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,17V1.1,0,112.5707441,707.9803643,180340,8,0,8974,8974,5,1125,21.74111176,21.74111176,0,21.74111176,0,108.7055588 +8975,MN,404,21,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,534 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,534 E 11TH ST HOUSING,3790,15864,0,15864,0,0,0,0,0,0,2,1,6,29,29,40,94.75,40,78, ,3,N,5,2,184050,1100250,184050,820359,1920,0,0, , ,4.19,4,0,4,1,1004040021,0,34,989689,204364,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,271.8205293,3767.133269,916200,12,0,8975,8975,18,4050,12.53199959,13.50222206,0.970222473,12.6648638,0.307502614,227.9675484 +8976,MN,471,36,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,385 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,L8,6,0, ,"HERMES MANAGEMENT, L",2377,11775,2120,9655,0,2120,0,0,0,0,2,1,5,4,6,25.58,99.17,26,100, ,3,Y,3,2,225000,1000350,0,0,1900,0,0, , ,4.95,6.02,6,6.5,1,1004710036,0,41,985135,201681,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,256.8236664,2751.164585,775350,0,0,8976,8976,12,2700,29.42099953,34.24000168,4.819002151,30.39399068,1.728804575,364.7278881 +8977,MN,739,1,104,83,2000,2,3,10011,L012,10,15,5600,1,4,1A,111 8 AVENUE,M1-5, , , , , , , , , ,N,O6,5,1,P,ONE CITY BLOCK LLC,165200,2161994,2161994,0,1485744,13454,85685,27258,0,549853,2,1,17,0,133,206.5,800,207,800, ,1,N,1,2,49500000,418082400,0,0,1931,1988,0, , ,13.09,0,5,6.5,1,1007390001,0,83,983361,209374,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,2035.409348,171204.8029,368582016,7,0,8977,8977,760,171000,16.11666679,21.96333313,5.846666336,16.84183229,0.598323967,12799.79254 +8978,MN,179,63,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,143 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,DRINOS PROPERTIES,5899,33800,33800,0,5600,5600,0,22600,0,0,2,1,6,0,6,69,101.42,69,92, ,3,Y,5,2,390600,1936350,0,0,1915,0,0,Tribeca West Historic District, ,5.73,6.02,6,6.5,1,1001790063,0,33,982164,201218,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,314.6119387,5834.321128,1545750,14,1,8978,8978,26,5850,10.17444515,10.17444515,0,10.17444515,0,264.535574 +8979,MN,522,8,102,55.02,2005,2,1,10012,L009,9,15,5700,1,2,2A,628 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,628 BROADWAY LLC,9500,66500,66500,0,38000,28500,0,0,0,0,2,1,6,0,14,49.5,196.25,50,190, ,3,N,4,1,2137500,12342600,0,0,1910,2006,0,NoHo Historic District, ,7,0,5,6.5,1,1005220008,0,5502,985417,203744,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,507.9939143,9974.689147,10205100,9,0,8979,8979,45,10125,39.83777618,40.46644211,0.628665924,40.34969228,0.109994404,1815.736153 +8980,MN,580,60,102,37,2004,2,3,10014,E024,1,15,6800,1,2,1B,183 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O5,5,0, ,185 VARICK RLTY CORP,12590,68476,68476,0,66476,2000,0,0,0,0,2,1,6,0,7,76.08,150,76.08,140, ,2,Y,3,2,900000,8636400,0,0,1930,0,0, , ,5.44,0,10,10,1,1005800060,0,37,982609,204407,12a, ,101N066,10208,E-288,0, ,1, , ,17V1.1,0,517.9357285,13511.48482,7736400,0,0,8980,8980,61,13725,16.36333275,17.71111107,1.34777832,16.72126589,0.284995343,1019.997219 +8981,MN,482,2,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,43 CROSBY STREET,M1-5B, , , , , , , , , ,N,D2,3,0, ,43 CROSBY STREET PROP,2508,11520,2075,9445,0,2075,0,0,0,0,2,1,5,5,6,25.08,100,25,98,E,3,Y,5,5,179443,1105393,0,0,1900,2008,0,SoHo-Cast Iron Historic District Extensi, ,4.59,0,5,6.5,1,1004820002,0,45,984666,202205,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,255.02916,2527.829724,925950,0,0,8981,8981,11,2475,30.94300079,30.94300079,0,30.94300079,0,340.3730087 +8982,MN,394,4,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,181 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,"FRANKEL, DANIEL T.",1219,4035,807,3228,0,807,0,0,0,0,2,1,4,3,4,17.17,71,17.17,45,E,2,N,5,2,33491,47015,0,0,1900,0,0, , ,3.31,4,0,4,1,1003940004,0,28,990048,204375,12c, ,102 030,10203, ,0, ,1, 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,3,Y,5,2,112500,402750,0,0,1915,0,0, , ,4.47,3.44,6,6.5,1,1001640048,0,29,984526,199475,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,245.1082059,2683.109429,290250,16,0,8991,8991,13,2925,25.58300018,25.58300018,0,25.58300018,0,332.5790024 +8992,MN,774,1,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,280 8 AVENUE,C6-2A,R8A, , , , , , , , ,Y,K1,5,0, ,CATS 280 EIGHTH AVENU,8986,17590,17590,0,0,17590,0,0,0,0,2,1,1,0,1,74,120,74,120, ,3,Y,3,2,702000,2063700,0,0,1963,1987,0, , ,1.96,6.02,6,6.5,1,1007740001,0,91,984931,211056,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,407.5831967,9218.748268,1361700,2,0,8992,8992,42,9450,22.05111122,24.85199928,2.800888062,24.747666,0.485202327,1039.401972 +8993,MN,519,66,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,43 CHARLTON STREET,R6,M1-6, , , , ,HSQ, , , ,Y,C0,2,0, ,43 CHARLTON LLC,2144,3560,0,2620,0,0,0,0,0,0,2,1,3,3,3,21.33,100.5,21.33,40, ,3,N,5,1,39428,147176,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.66,2.43,0,4.8,1,1005190066,0,37,982879,204260,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,243.6536433,2107.003699,107748,0,0,8993,8993,7,1575,16.83888817,20.61777687,3.778888702,18.20031711,1.64861903,127.4022198 +8994,MN,743,28,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,321 WEST 19 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"EDWARDS, GEORGE B",1894,3696,0,2814,0,0,0,0,0,0,2,1,3,2,2,20.58,92,20.58,44,E,3,N,5,1,45074,148178,0,0,1910,0,0, , ,1.95,3,0,3,1,1007430028,0,89,983963,210115,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,228.5326467,1951.365031,103104,7,0,8994,8994,9,2025,15.57888889,18.99444389,3.415555,16.45730845,1.309927142,148.1157761 +8995,MN,395,9,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,606 EAST 13 STREET,R7-2,R7A, , ,C2-5,C1-5, , , , ,Y,D9,3,0,O,NYCHA TRIBOROUGH PRES,62591,127950,0,127950,0,0,0,0,0,0,2,1,10,93,93,75,206.5,264,60, ,3,Y,4,0,2250000,13550400,2250000,13550400,1979,0,0, , ,2.04,3.44,0,6.5,1,1003950009,0,28,990447,204430,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,1536.909349,63729.42594,11300400,12,1,8995,8995,284,63900,7.055555344,13.03666687,5.981111526,8.936491348,1.327512026,2537.963543 +8996,MN,800,77,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,261 7 AVENUE,C6-3X, , , , , , , , , ,N,C7,4,0, ,168-170 WEST 25 STREE,1510,6010,1200,4810,0,1200,0,0,0,0,2,1,4,9,11,25.17,60,25,60, ,3,Y,3,2,116550,898200,0,0,1920,1989,0, , ,3.98,9,6,9,1,1008000077,0,91,985763,210767,8d, ,105S011,10305,E-54,1008000077,12/12/1984,1, , ,17V1.1,0,180.7123496,1731.190031,781650,2,0,8996,8996,7,1575,34.22700119,36.47299957,2.245998383,34.72788947,0.834646087,243.0952263 +8997,MN,514,28,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,133 GREENE STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,BIG DEAL RLTY ON GRNS,3670,19687,1641,18046,0,1641,0,0,0,0,2,1,6,7,8,36.75,100.08,37,100,E,3,N,5,2,356380,988299,4720,4720,1900,0,0,SoHo-Cast Iron Historic District, ,5.36,0,5,6.5,1,1005140028,0,49,984527,203700,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,280.1857763,3769.919481,631919,9,0,8997,8997,18,4050,22.59666634,25.70555687,3.108890533,22.76938248,0.712126892,409.8488846 +8998,MN,475,15,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,489 BROOME STREET,M1-5A,M1-5B, , , , , , , , ,Y,C7,4,0, ,"ONLY PROPERTIES, LLC",5952,25211,5000,20211,0,5000,0,0,0,0,2,1,5,7,8,62.42,96.17,62,89,E,3,Y,5,2,124923,945883,0,0,1940,1987,2005,SoHo-Cast Iron Historic District, ,4.24,0,5,6.5,1,1004750015,0,47,983493,202662,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,343.3444139,6094.323633,820960,0,1,8998,8998,26,5850,9.686666489,10.45111084,0.764444351,9.716068194,0.147008529,252.6177731 +8999,MN,743,51,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,308 WEST 20 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,"308 WEST 20TH,",2300,5497,0,5497,0,0,0,0,0,0,2,1,4,6,6,25,92,25,52,E,0,N,5,5,43896,354580,0,0,1900,1964,2009, , ,2.39,3,0,3,1,1007430051,0,89,984069,210164,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,235.8817518,2233.352693,310684,7,0,8999,8999,10,2250,15.57888889,15.57888889,0,15.57888889,0,155.7888889 +9000,MN,642,52,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,72 HORATIO STREET,R6, , , , , , , , , ,N,D0,3,0, ,72 HORATIO ST OWNERS,4360,16600,0,16600,0,0,0,0,0,0,2,1,4,8,8,50,87.42,50,80, ,2,N,5,2,449428,1346750,2360,2360,1900,2010,0,Greenwich Village Historic District, ,3.81,2.43,0,4.8,1,1006420052,0,79,982314,208359,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,281.7285523,4619.915247,897322,8,1,9000,9000,23,5175,10.79777813,10.79777813,0,10.79777813,0,248.348897 +9001,MN,163,1,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,10 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,CHIN FAMILY ASSOCIATE,1925,9750,3900,5850,1950,1950,0,0,0,0,2,1,5,10,12,25.17,79,25,78, ,3,Y,5,2,105300,504450,0,0,1910,0,0, , ,5.06,3.44,6,6.5,1,1001630001,0,29,984922,199724,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,209.5873945,1990.54499,399150,14,0,9001,9001,8,1800,33.5909996,33.5909996,0,33.5909996,0,268.7279968 +9002,MN,481,8,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,17 CLEVELAND PLACE,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,"17 CLEVELAND PLACE,",2502,9821,785,9036,0,785,0,0,0,0,2,1,5,16,18,25.17,99.42,25,77, ,3,N,5,2,138150,1102500,0,0,1910,1982,0, , ,3.93,3.44,6,6.5,1,1004810008,0,41,985056,202148,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,259.2008203,2807.7639,964350,0,0,9002,9002,13,2925,35.01599884,35.52999878,0.513999939,35.06765718,0.139870547,455.8795433 +9003,MN,200,6,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,78 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,EIGHTY MULBERRY CP,4910,21866,1866,20000,0,1866,0,0,0,0,2,2,6,33,35,49.83,100.5,50,86, ,3,Y,5,2,222750,1925550,0,0,1915,1988,0, , ,4.45,3.44,6,6.5,1,1002000006,0,29,984591,200255,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,307.2544348,5188.394147,1702800,14,0,9003,9003,22,4950,28.79299927,29.99533272,1.20233345,28.84765079,0.250444729,634.6483173 +9004,MN,142,16,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,33 HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,"EPSTEIN, LINDA CHRIST",971,1485,0,1485,0,0,0,0,0,0,2,1,2,1,1,18.67,52,18.67,33, ,2,N,3,2,39185,90552,0,0,1960,0,0, ,33 HARRISON STREET HOUSE (EBENEZER,1.53,10,10,10,1,1001420016,0,39,981181,201119,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,177.4153136,1896.910191,51367,14,0,9004,9004,7,1575,14.25300026,14.25300026,0,14.25300026,0,99.77100182 +9005,MN,504,11,102,37,3000,2,3,10013,L020,1,15,6800,1,2,1A,188 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,SIXTH REALTY ASSOCIAT,7500,33930,1900,32030,0,1900,0,0,0,0,2,3,6,53,59,75,100,25,88, ,0,Y,5,2,778500,3670650,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.52,3.44,0,6.5,1,1005040011,0,37,983335,203870,12a, ,101N067,10206, ,0, ,1, , 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,17V1.1,0,243.5457667,2349.332708,1391850,8,0,9007,9007,11,2475,24.50222206,27.37111092,2.868888855,24.76303014,0.824747558,272.3933315 +9008,MN,539,20,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,80 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,80 WEST 3 ST CP,1983,5925,5925,0,1975,3950,0,0,0,0,2,1,3,0,4,25,79.33,25,79, ,3,N,5,1,115650,1061550,0,0,1910,1980,2008,South Village Historic District, ,2.99,3.44,0,6.5,1,1005390020,0,65,984548,205101,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,207.6112129,1983.095267,945900,9,0,9008,9008,9,2025,25.23555565,27.27777672,2.042221069,25.4624691,0.641808163,229.1622219 +9009,MN,299,33,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,55 CANAL STREET,C6-2, , , , , , , , , ,N,L8,6,0,P,55 CANAL LLC,1375,6198,6198,0,4948,1250,0,0,0,0,2,1,4,0,4,25,55.08,25,55, ,2,N,3,2,60750,614250,0,0,1900,0,0, , ,4.51,6.02,6,6.5,1,1002990033,0,16,986487,199805,12d, ,101N051,10107, ,1002990033,8/14/1995,1, , ,17V1.1,0,173.8293851,1613.633039,553500,13,0,9009,9009,8,1800,40.40000153,40.40000153,0,40.40000153,0,323.2000122 +9010,MN,911,53,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,220 EAST 31 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"VAN DER MEER, ANTONIA",1926,3246,0,3246,0,0,0,0,0,0,2,1,4,3,3,19.5,98.75,20,40, ,3,N,5,2,95008,181318,0,0,1920,1981,0, , ,1.69,3,0,3,1,1009110053,0,70,990151,210058,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,245.7030908,2053.74313,86310,10,0,9010,9010,9,2025,29.22888947,32.33555603,3.106666565,30.13662995,1.018237455,271.2296696 +9011,MN,797,7507,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,140 WEST 22 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,6172,61968,7433,54535,7433,0,0,0,0,0,2,1,12,51,52,62.5,98.75,63,89, ,0,N,0,5,1250994,9827996,21240,21240,1911,2008,0, , ,10.04,7.52,6,7.5,1,1007977507,1963,87,985617,209877,8d, ,103 030,10305, ,1007970065,3/16/2009,1, , ,17V1.1,7,322.6867977,6173.242164,8577000,7,0,9011,9011,27,6075,28.16444397,30.42555428,2.261110306,28.29206537,0.474392481,763.8857651 +9012,MN,881,41,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,344 3 AVENUE,C2-8, , , , , , , , , ,N,D6,4,0,P,"MANHATTAN PROMENADE,",8602,151346,8000,143346,0,8000,0,0,0,0,2,1,22,183,185,24.75,84,102,84, ,3,N,5,2,2713500,19314450,0,0,1997,0,0, , ,17.59,10,2,10,1,1008810041,0,68,989150,209057,8d, ,104 006,10307, ,1008810041,1/6/1998,1, , ,17V1.1,0,379.3688082,8934.438972,16601000,11,0,9012,9012,39,8775,30.02400017,30.02400017,0,30.02400017,0,1170.936007 +9013,MN,499,7502,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,114 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,TRM HOLDING CORP,9100,51338,15385,35953,0,15385,0,0,0,0,2,2,6,12,19,81,100,89.75,100, ,0,Y,5,5,1361247,12739048,0,0,1988,0,0,SoHo-Cast Iron Historic District, ,5.64,0,5,6.5,1,1004997502,685,49,984453,203308,12c, ,101N072,10206, ,1004990012,2/10/1990,1, , ,17V1.1,7,413.5252437,9534.360247,11377800,0,0,9013,9013,43,9675,22.35555458,28.48444366,6.128889084,22.73596808,1.39721043,977.6466274 +9014,MN,280,40,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,39 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0, ,WING HING EAST BROADW,3803,21302,21302,0,14202,7100,0,0,0,0,2,1,6,0,33,50.92,75,50,75, ,3,N,5,2,463500,3486150,0,0,1920,2002,0, , ,5.6,3.44,6,6.5,1,1002800040,0,8,985322,199169,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,259.2305846,4012.759727,3022650,16,0,9014,9014,16,3600,29.04899979,29.04899979,0,29.04899979,0,464.7839966 +9015,MN,630,29,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,157 CHRISTOPHER STREET,R6, , , , , , , , , ,N,S2,4,0, ,"AARON , SUSANNA",1120,3240,500,2740,0,500,0,0,0,0,2,1,3,2,3,21.42,62.42,21.42,62.42, ,3,Y,5,5,39891,99532,0,0,1900,0,0,Greenwich Village Historic District Exte, ,2.89,2.43,0,4.8,1,1006300029,0,75,981973,206299,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,167.7856806,1219.871198,59641,9,0,9015,9015,7,1575,15.90333366,15.90333366,0,15.90333366,0,111.3233356 +9016,MN,508,7501,102,43,1001,2,1,10012,L020,5,15,6800,1,2, ,259 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, ,OWNER / AGENT,4172,18030,4795,13235,1351,3444,0,0,0,0,2,1,7,26,32,48,67.25,0,0, ,0,Y,5,5,445502,1992600,2360,2360,1987,0,0, , ,4.32,6.02,6,6.5,1,1005087501,527,43,985928,202996,12c, ,101N076,10206, ,1005080031,11/29/1988,1, , ,17V1.1,7,281.7019547,4440.251245,1547100,9,0,9016,9016,20,4500,44.87400055,48.0633316,3.189331055,45.05155602,0.695420636,901.0311203 +9017,MN,187,21,101,39,4003,2,1,10013,E007,1,15,7700,1,1,3B,56 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,G1,10,0, ,56 NORTH MOORE STREET,8771,41067,41067,0,0,0,41067,0,0,0,2,1,5,0,1,100.5,87.58,100.5,80, ,0,N,5,5,877500,3201300,0,0,1940,0,0,Tribeca West Historic District, ,4.68,6.02,6,6.5,1,1001870021,0,39,981665,201524,12a, ,101S037,10105, ,0, ,1, , 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,17V1.1,0,391.2882713,4771.249622,710100,1,0,9021,9021,20,4500,32.93299866,35.96333313,3.030334473,33.40714893,0.984336507,668.1429787 +9022,MN,626,29,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,48 HORATIO STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"SEIGEL, JERROLD",1392,2760,0,2760,0,0,0,0,0,0,2,1,3,2,2,23.42,58.5,23.42,40,E,3,Y,5,2,45099,178932,1550,1550,1857,0,0,Greenwich Village Historic District, ,1.98,3.44,2,6.5,1,1006260029,0,77,982826,208373,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,170.8539127,1520.559302,133833,8,0,9022,9022,8,1800,17.68444443,17.68444443,0,17.68444443,0,141.4755554 +9023,MN,179,43,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3A,31 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,"ART REALTY GROUP, LLC",2169,14300,14300,0,0,0,0,0,14300,0,2,1,7,0,1,25,91.83,25,78, ,2,Y,5,2,108900,818550,0,0,1910,0,0,Tribeca West Historic District, ,6.59,6.02,6,6.5,1,1001790043,0,33,982234,201072,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,231.3977864,2342.135442,709650,14,1,9023,9023,11,2475,10.17444515,10.17444515,0,10.17444515,0,111.9188967 +9024,MN,503,43,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,191 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,191 SPRING LLC,1675,5719,1600,4119,0,1600,0,0,0,0,2,1,6,2,3,16.75,100,16.75,100,E,3,N,5,5,73971,182684,0,0,1910,2000,0,Sullivan-Thompson Historic District, ,3.41,3.44,0,6.5,1,1005030043,0,49,983440,203519,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,242.1612154,1772.500429,108713,0,0,9024,9024,9,2025,14.34111118,14.34111118,0,14.34111118,0,129.0700006 +9025,MN,277,2,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,77 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,MJ GROUP HOLDINGS LLC,5029,21274,1774,19500,0,1774,0,0,0,0,2,1,6,28,30,50,100.58,50,88, ,3,N,5,2,213750,615150,0,0,1918,1986,0, , ,4.23,3.44,0,6.5,1,1002770002,0,8,985260,198808,12d, ,101S029,10107, ,0, ,1, , 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,17V1.1,0,230.7585708,2003.897531,128413,7,0,9027,9027,8,1800,27.66555595,27.66555595,0,27.66555595,0,221.3244476 +9028,MN,438,14,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,412 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"GIURDANELLA, ROBERTJ.",2369,9035,0,9035,0,0,0,0,0,0,2,2,5,14,14,25,94.75,25,52, ,0,N,5,2,170100,819000,0,0,1900,0,0, , ,3.81,4,0,4,1,1004380014,0,34,988870,204820,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.5904714,2443.769267,648900,12,0,9028,9028,10,2250,17.98900032,18.9244442,0.935443878,18.50394421,0.27571818,185.0394421 +9029,MN,450,27,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,346 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,346 HOLDING LLC,2348,9365,1875,7490,0,1875,0,0,0,0,2,1,5,21,23,25,93.92,25,75, ,3,N,5,1,158850,1287000,0,0,1900,0,0, , ,3.99,4,0,4,1,1004500027,0,38,988242,204602,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.0798414,2588.735181,1128150,12,0,9029,9029,12,2700,25.4810009,26.84333229,1.36233139,25.59452852,0.376528505,307.1343422 +9030,MN,435,35,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,115 AVENUE A,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,115 AVE A LLC,2442,5450,1100,4350,0,1100,0,0,0,0,2,1,4,4,5,24.42,100,24,52, ,3,N,5,5,116483,157591,0,0,1900,1982,0, , ,2.23,4,0,4,1,1004350035,0,32,988780,203918,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,259.0007346,2652.007291,41108,12,0,9030,9030,11,2475,18.59333229,19.21666718,0.623334885,19.00062596,0.143065038,209.0068855 +9031,MN,624,53,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,51 BANK STREET,R6, , , , , , , , , ,N,C7,4,0, ,51-53 LLC,2910,15450,1500,13950,0,1500,0,0,0,0,2,1,6,22,25,40.92,72,41,72, ,2,Y,3,1,675000,2721150,0,0,1905,1989,0,Greenwich Village Historic District, ,5.31,2.43,0,4.8,1,1006240053,0,77,983168,207780,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,233.3849664,3206.177249,2046150,8,0,9031,9031,14,3150,20.58111191,26.21111107,5.629999161,20.98325471,1.449946475,293.7655659 +9032,MN,336,1,103,12,1008,1,1,10002,L018,7,14,7600,1,3,2B, DELANCEY STREET,R8, , , , , , , , , ,N,G7,10,0,P,U J C BIALYSTOKER HOU,18758,0,0,0,0,0,0,0,0,0,7,1,0,0,0,74.71,188.56,0,0, ,0,Y,3,5,1747350,1747350,0,0,0,0,0, , ,0,6.02,0,6.5,1,1003360001,0,12,988908,200218,12c, ,101N081,10201, ,1003360001,8/27/2012,1, , ,17V1.1,0,688.0617225,18217.85059,0,13,0,9032,9032,81,18225,20.2266674,23.56555557,3.338888168,21.73412212,0.927351244,1760.463892 +9033,MN,491,7503,102,37,3006,2,3,10013,L008,1,15,6800,1,2, ,246 SPRING STREET,M1-6, , , , , ,HSQ, , , ,N,RC,5,0, , ,24594,284451,95767,791,425,37298,0,0,0,58044,2,1,42,0,394,140,175,140,175, ,0,N,0,5,6640224,88281466,0,0,2007,2007,0, , ,11.57,0,10,10,1,1004917503,2162,37,982751,203525,12a, ,101N067,10206, ,1004910036,6/23/2010,1, , ,17V1.1,7,634.6772508,24842.60241,81641200,0,0,9033,9033,108,24300,17.64500046,23.61888886,5.973888397,18.39449619,1.425473793,1986.605589 +9034,MN,503,6,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,107 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SULLIVAN PROPERTIESLP,5000,22517,1500,21017,0,1500,0,0,0,0,2,1,6,37,40,50,100,50,83, ,3,N,5,2,594000,3274200,0,2360930,1900,0,0,Sullivan-Thompson Historic District, ,4.5,3.44,0,6.5,1,1005030006,0,49,983512,203683,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,302.911072,5018.904783,2680200,0,0,9034,9034,23,5175,15.37666702,19.57777786,4.20111084,15.55932402,0.856737239,357.8644524 +9035,MN,618,46,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,213 WEST 13 STREET,R6, , , , , , , , , ,N,C1,2,0, ,213-215 WEST 13TH STR,3125,13000,0,13000,0,0,0,0,0,0,2,2,6,24,24,41.67,75,42,69,E,3,N,5,2,274050,1679400,0,0,1910,0,0,Greenwich Village Historic District, ,4.16,2.43,0,4.8,1,1006180046,0,77,983994,208292,8d,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,241.5673209,3333.241648,1405350,8,0,9035,9035,15,3375,22.30444527,22.30444527,0,22.30444527,0,334.566679 +9036,MN,693,10,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,541 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,E1,6,0,P,ERBO PROPERTIES LLC C,7466,65307,65307,0,0,0,0,0,65307,0,2,1,8,0,1,75,98.75,75,95, ,3,N,5,2,657000,6478650,0,0,1915,0,0, , ,8.75,0,5,6.5,1,1006930010,0,99,982337,211576,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,350.6643494,7536.472464,5821650,7,1,9036,9036,34,7650,6.691111088,6.691111088,0,6.691111088,0,227.497777 +9037,MN,890,57,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,150 EAST 35 STREET,R8B, , , , , , , , , ,N,D5,3,0,P,YESHIVA UNIVERSITY,4322,35905,0,35905,0,0,0,0,0,0,2,1,9,27,27,44.33,97.5,44.33,83, ,3,N,5,2,972000,4401000,972000,4401000,1912,1997,2004, , ,8.31,4,0,4,1,1008900057,0,72,990165,211275,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,288.795549,4448.943234,3429000,10,0,9037,9037,21,4725,37.79100037,44.21777725,6.426776886,38.36751883,1.780680407,805.7178955 +9038,MN,823,7502,105,58,1009,2,3,10010,E014,13,15,5700,1,5, ,170 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,RM,4,0, , ,3480,36827,4186,32641,0,4186,0,0,0,0,2,1,13,11,13,29,120,29,0, ,2,N,3,5,1129502,6105603,2360,2360,1904,0,0,Ladies' Mile Historic District, ,10.58,10,10,10,1,1008237502,1094,58,986885,209214,8d, ,102 042,10306, ,1008230045,4/11/2000,1, , ,17V1.1,7,303.6114354,3811.791193,4976100,7,0,9038,9038,17,3825,38.59666824,40.40222168,1.805553436,38.92321665,0.56694858,661.6946831 +9039,MN,633,47,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,312 WEST 11 STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,OUR TOWNHOUSE LLC,1260,3040,0,2280,0,0,0,0,0,0,2,1,3,1,1,20.33,67.17,20.33,38, ,2,Y,5,1,65980,221271,0,0,1930,2008,0,Greenwich Village Historic District, ,2.41,3.44,2,6.5,1,1006330047,0,75,982425,207273,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,178.9170064,1427.662994,155291,8,0,9039,9039,7,1575,19.46666718,20.9355545,1.468887329,19.67650822,0.514003492,137.7355576 +9040,MN,802,75,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,158 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,158 WEST 27TH STREET,8305,108000,108000,0,92125,7500,0,8375,0,0,2,1,12,0,14,88,98.75,88,90, ,3,Y,5,2,1368000,11129400,0,0,1913,1989,2008, , ,13,0,10,10,1,1008020075,0,95,986096,211130,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,381.7135903,8647.089662,9761400,2,0,9040,9040,39,8775,32.50999832,35.0288887,2.518890381,32.57458525,0.398140593,1270.408825 +9041,MN,939,38,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,340 EAST 34 STREET,C1-9A, , , , , , , , , ,N,D7,4,0,P,340 EAST 34 II L.L.C.,13825,142260,11127,131133,1127,0,10000,0,0,0,2,1,16,200,201,140,98.75,140,59, ,2,N,5,0,2655000,18470250,0,0,1962,0,0, , ,10.29,10,2,10,1,1009390038,0,70,991349,210279,8d, ,104 023,10309, ,0, ,1, ,1,17V1.1,0,482.0391066,14183.50532,15815300,10,1,9041,9041,62,13950,9.817777634,14.14777756,4.329999924,11.14939068,1.556540126,691.2622223 +9042,MN,355,74,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,144 STANTON STREET,R7A, , , , , , , , , ,N,C3,2,0, ,144 STANTON STREET RE,1584,4632,0,4632,0,0,0,0,0,0,2,1,4,4,4,22,73.5,22,58,E,2,Y,5,5,47646,78192,0,0,1900,0,0, , ,2.92,4,0,4,1,1003550074,0,3001,988225,201871,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,191.1008031,1663.034449,30546,1,0,9042,9042,7,1575,23.94333458,27.77777863,3.834444046,24.97809628,1.640050311,174.846674 +9043,MN,746,1,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,198 9 AVENUE,R7B, , , ,C1-5, , , , , ,N,S5,4,0,P,198 CHELSEA CORP.,1930,5917,1200,4717,0,1200,0,0,0,0,2,1,4,6,7,24.67,78,25,72,E,3,N,3,2,124045,553835,0,0,1910,0,0,Chelsea Historic District Extension, ,3.07,3,0,3,1,1007460001,0,93,983844,210994,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,206.8094266,1977.395624,429790,2,0,9043,9043,9,2025,15.97222233,15.97222233,0,15.97222233,0,143.750001 +9044,MN,606,22,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,54 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0,P,"LINCOLN SAVINGS BANK,",5492,14263,4119,10144,0,4119,0,0,0,0,2,3,4,8,10,72.25,80.5,72,74, ,3,Y,5,2,165578,1171719,0,0,1920,0,0,Greenwich Village Historic District, ,2.6,3.44,2,6.5,1,1006060022,0,71,984131,207389,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,301.2344633,5339.591753,1006140,8,0,9044,9044,24,5400,22.88899994,24.65333366,1.764333725,23.09534717,0.484457263,554.288332 +9045,MN,800,19,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,139 WEST 24 STREET,M1-6, , , , , , , , , ,N,O5,5,0,P,G&G ELECTRIC REALTYCO,5504,13621,13621,0,8117,0,0,0,5504,0,2,2,4,0,1,39.42,116.58,39,117,E,3,Y,5,2,225000,986400,225000,986400,1920,0,0, , ,2.47,0,10,10,1,1008000019,0,91,985962,210510,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,334.547538,5618.866669,761400,2,0,9045,9045,27,6075,33.84199905,37.06999969,3.228000641,34.07543126,0.825571202,920.036644 +9046,MN,618,66,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,253 WEST 13 STREET,C1-6, , , , , , , , , ,N,U7,7,0,C,NYC TRANSIT,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,29.5,103.25,0,0, ,0,Y,5,5,0,0,0,0,0,0,0,Greenwich Village Historic District, ,0,3.44,2,6.5,1,1006180066,0,77,983627,208513,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,295.2126189,4883.165082,0,8,0,9046,9046,22,4950,22.30444527,22.30444527,0,22.30444527,0,490.6977959 +9047,MN,344,69,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,210 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,210 RIVINGTON REALTY,3045,14096,1500,12596,0,1500,0,0,0,0,2,1,6,20,23,60,50.75,56,51,E,3,N,3,2,241200,1543950,0,0,1920,2013,0, , ,4.63,4,0,4,1,1003440069,0,2201,989052,201042,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,223.398236,3086.014948,1302750,1,0,9047,9047,13,2925,17.05666733,17.05666733,0,17.05666733,0,221.7366753 +9048,MN,743,50,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,306 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,306 WEST 20TH APT COR,2300,6985,0,6985,0,0,0,0,0,0,2,1,4,6,6,25,92,25,38, ,2,N,5,1,115034,536004,4720,4720,1920,1987,0, , ,3.04,3,0,3,1,1007430050,0,89,984091,210152,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,238.1019123,2343.224023,420970,7,0,9048,9048,10,2250,15.57888889,20.77444458,5.195555687,16.09844446,1.558666706,160.9844446 +9049,MN,798,10,104,91,1004,2,3,10011,L012,13,15,5200,1,4,1A,163 WEST 22 STREET,C6-3A, , , , , , , , , ,N,S3,4,0, ,"CARTIS,",1949,6544,2263,4281,0,1740,0,0,0,523,2,1,4,3,4,21.83,89.25,22,84,E,3,N,5,5,121515,626076,0,0,1920,2008,0, , ,3.36,7.52,6,7.5,1,1007980010,0,91,985497,210113,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,234.6747072,2114.335783,504561,2,0,9049,9049,10,2250,28.16444397,28.8955555,0.731111526,28.23755512,0.219333458,282.3755512 +9050,MN,513,25,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,163 MERCER STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,"TAY,ENG,C",2250,5700,4000,1700,0,2000,0,2000,0,0,2,1,2,1,2,25,90,25,72,E,3,N,5,2,303750,1927800,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,2.53,0,5,6.5,1,1005130025,0,49,984747,203571,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,235.5460043,2349.27629,1624050,9,0,9050,9050,10,2250,26.62555504,34.17411041,7.548555374,27.38041058,2.264566612,273.8041058 +9051,MN,764,42,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,72 7 AVENUE,C6-3A, , , , , , , , , ,N,D6,4,0, ,2165 BOLTON LLC,6600,109669,4468,105201,1600,2868,0,0,0,0,2,1,20,110,113,66,100,66,100,E,2,N,3,2,900000,9768600,0,0,1931,1987,0, , ,16.62,7.52,6,7.5,1,1007640042,0,81,984361,208596,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,351.268022,7346.099278,8868600,7,0,9051,9051,33,7425,24.42199898,27.5933342,3.17133522,24.84237625,0.938998331,819.7984161 +9052,MN,218,7501,101,39,1016,2,1,10013,L008,1,15,7700,3,1, ,92 LAIGHT STREET,C6-3A,C6-2A, , , , ,TMU, , , ,Y,RM,4,0, ,"W SQUARED, LLC",23923,172207,30357,141850,0,15302,15055,0,0,0,2,1,13,65,69,80.35,100.5,118,128, ,0,Y,0,5,3224245,22222498,21240,21240,2004,0,0,Tribeca North Historic District, ,7.2,7.52,6,7.5,1,1002187501,1457,39,981258,202550,12a, ,11N 040,10105, ,1002180020,9/16/2005,1,1,1,17V1.1,7,811.1893857,24741.87325,18998300,14,1,9052,9052,110,24750,7.28000021,7.28000021,0,7.28000021,0,800.8000231 +9053,MN,447,18,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,324 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,320-326 RO VILLAGE RE,2825,6950,1350,5600,0,1350,0,0,0,0,2,1,5,20,21,25,97,25,54, ,3,N,5,1,197550,1013850,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,2.46,4,0,4,1,1004470018,0,38,987726,204035,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.3937237,2565.465142,816300,1,0,9053,9053,12,2700,28.15800095,30.42222214,2.264221191,29.00168578,0.893696695,348.0202293 +9054,MN,389,21,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,206 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,TOMFOL RLTY CORP,2272,10800,700,10100,0,700,0,0,0,0,2,1,6,24,25,25,90.83,25,79, ,3,N,5,1,180000,1019250,27648,27648,1900,1986,0, , ,4.75,4,0,4,1,1003890021,0,2602,989758,203189,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,231.5845118,2255.130877,839250,12,1,9054,9054,9,2025,7.700000286,7.700000286,0,7.700000286,0,69.30000257 +9055,MN,862,66,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,12 EAST 33 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,PAYOURENT BROADWAY LL,2469,26967,26967,0,24967,2000,0,0,0,0,2,1,12,0,13,25,98.75,25,94,E,3,N,5,2,1098000,2385450,0,0,1910,0,0, , ,10.92,10,10,10,1,1008620066,0,74,988562,211528,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,256.3229274,2595.874206,1287450,10,0,9055,9055,12,2700,46.61999893,48.0288887,1.408889771,46.73740641,0.389396562,560.848877 +9056,MN,448,5,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,112 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,M1,8,0,X,REF PROT DUTCH CHURCH,6500,17264,17264,0,0,0,0,0,0,17264,2,1,5,0,0,52,125,52,125, ,0,N,5,5,634500,1118700,634500,1118700,1900,0,0,East Village/Lower East Side Historic Di, ,2.66,4,0,4,1,1004480005,0,38,987600,204376,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,358.8487575,6737.298119,484200,12,0,9056,9056,29,6525,27.1590004,32.43288803,5.273887634,27.34085859,0.962303112,792.8848991 +9057,MN,435,55,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,97 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"PYRGOS 1926, LLC",2356,9245,0,9245,0,0,0,0,0,0,2,1,5,22,22,24.17,97.5,24,87, ,3,N,5,2,157950,1436400,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,3.92,4,0,4,1,1004350055,0,32,988393,204117,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.7009528,2523.110464,1278450,12,0,9057,9057,11,2475,20.24200058,20.24200058,0,20.24200058,0,222.6620064 +9058,MN,618,60,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,241 WEST 13 STREET,R6,C1-6, , , , , , , , ,Y,C6,2,0, ,241 REALTY CO LLC C/,4302,18468,0,18468,0,0,0,0,0,0,2,1,6,31,31,41.67,103.25,42,86, ,3,N,5,2,313200,2484900,0,0,1904,0,0,Greenwich Village Historic District, ,4.29,2.43,0,4.8,1,1006180060,0,77,983743,208446,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,284.8527666,4018.418113,2171700,8,0,9058,9058,19,4275,22.30444527,22.30444527,0,22.30444527,0,423.7844601 +9059,MN,614,59,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,79 GREENWICH AVENUE,C1-6,C2-6, , , , , , , , ,Y,C7,4,0, ,VILLAGE MANAGEMENT IN,2200,4706,900,3806,0,900,0,0,0,0,2,2,3,7,9,26,90.5,26,56, ,3,Y,5,2,115158,417033,0,0,1900,0,0,Greenwich Village Historic District, ,2.14,3.44,2,6.5,1,1006140059,0,77,983810,207739,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,243.6531289,2548.78321,301875,8,0,9059,9059,11,2475,25.32666588,26.45555496,1.128889084,25.42929216,0.324532794,279.7222137 +9060,MN,344,172,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,168 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,CAMIRAND LLC,1425,6250,0,6250,0,0,0,0,0,0,2,1,5,10,10,25,57,25,50, ,3,N,5,2,29196,112944,0,0,1920,1985,0, , ,4.39,4,0,4,1,1003440172,0,2201,988488,201272,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,169.730646,1476.548937,83748,13,0,9060,9060,7,1575,22.93000031,23.73044586,0.800445557,23.04434967,0.280097597,161.3104477 +9061,MN,552,63,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,69 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,C6,2,0, ,69 WASHINGTON PLACE,2144,5378,0,5378,0,0,0,0,0,0,2,1,4,6,6,22,97.17,22,98, ,2,N,5,1,115615,450584,0,0,1900,0,0,Greenwich Village Historic District, ,2.51,3.44,0,6.5,1,1005520063,0,65,984415,205971,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,237.8079446,2110.123282,334969,9,0,9061,9061,9,2025,17.50333405,17.50333405,0,17.50333405,0,157.5300064 +9062,MN,471,7501,102,41,4000,2,1,10013,E055,5,15,6800,1,2, ,381 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,2200,8742,3355,5387,0,3355,0,0,0,0,2,1,7,6,7,25.25,93,25,88, ,0,N,5,5,48185,1154424,2360,2360,2003,2003,0, , ,3.97,6.02,6,6.5,1,1004717501,1336,41,985182,201658,12c, ,11N 074,10206, ,1004710038,12/24/2003,1, , ,17V1.1,7,240.4750728,2320.023825,1106240,0,0,9062,9062,10,2250,29.42099953,34.39777756,4.97677803,29.91867733,1.493033409,299.1867733 +9063,MN,898,13,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,217 EAST 17 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,ROSALEE ISALY,1380,4125,0,3300,0,0,0,0,0,0,2,1,4,2,2,15,92,15,54, ,3,N,5,1,116791,291236,1550,1550,1900,1985,2005,Stuyvesant Square Historic District, ,2.99,3,0,3,1,1008980013,0,48,988466,207062,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,220.8510421,1375.439169,174445,5,0,9063,9063,6,1350,22.7840004,27.94666672,5.162666321,24.45996316,2.140960811,146.759779 +9064,MN,444,24,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,70 EAST 3 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,"PSA LESAGE,",2525,11406,0,11406,0,0,0,0,0,0,2,1,6,24,24,25,101,25,85, ,3,N,5,2,296100,892800,0,0,1920,1987,0, , ,4.52,4,0,4,1,1004440024,0,3602,987336,203381,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,261.2276012,2681.704464,596700,1,0,9064,9064,12,2700,33.39555359,33.39555359,0,33.39555359,0,400.7466431 +9065,MN,377,30,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,394 EAST 8 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,8TH ST. EQUITIES,8068,28906,0,28906,0,0,0,0,0,0,2,3,7,39,39,82.75,97.5,0,0, ,0,N,5,5,355500,3142350,0,1781838,2000,2013,0, , ,3.58,4,0,4,1,1003770030,0,2602,990698,202956,12c, ,102 023,10202, ,1003770030,12/6/1999,1, ,1,17V1.1,0,365.1446469,8244.748307,2786850,12,1,9065,9065,37,8325,9.236666679,11.07888889,1.842222214,9.405675708,0.491570138,348.0100012 +9066,MN,618,59,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,239 WEST 13 STREET,R6, , , , , , , , , ,N,C2,2,0, ,ROGER DUBOIS,2151,2814,0,2814,0,0,0,0,0,0,2,1,3,6,6,20.83,103.25,21,45, ,3,N,5,1,119339,357297,0,0,1900,0,0,Greenwich Village Historic District, ,1.31,2.43,0,4.8,1,1006180059,0,77,983770,208431,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,251.7342441,2302.003433,237958,8,0,9066,9066,9,2025,22.30444527,24.32333183,2.018886566,22.528766,0.634474836,202.758894 +9067,MN,407,53,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,515 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,RIVPIN HDFC,2571,9785,0,9785,0,0,0,0,0,0,2,1,5,10,10,25,103,24.83,86, ,0,N,5,5,115912,514098,115912,514098,1900,1940,1993, , ,3.81,4,2,4,1,1004070053,0,34,989811,205085,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,260.358516,2626.7776,398186,12,1,9067,9067,12,2700,11.62699986,11.62699986,0,11.62699986,0,139.5239983 +9068,MN,163,4,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,16 PELL STREET,C6-1, , , , , , , , , ,N,L9,6,0, ,HEP SING TONG/HIP SIN,2097,8291,8291,0,6291,2000,0,0,0,0,2,1,4,0,4,25.08,85.58,25,86, ,3,Y,5,2,130500,466200,0,0,1915,0,0, , ,3.95,3.44,6,6.5,1,1001630004,0,29,984850,199748,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,227.1479171,2263.379413,335700,14,0,9068,9068,10,2250,33.5909996,33.5909996,0,33.5909996,0,335.909996 +9069,MN,413,29,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,290 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,SIT KWAN CHEUNG IRREV,2187,4376,4376,0,0,2167,0,0,0,2209,2,1,2,0,2,25,87.5,23,87, ,3,N,3,2,225000,737100,0,0,1910,2015,0, , ,2,4,4,4,1,1004130029,0,18,986467,200798,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,230.2526225,2395.625686,512100,13,0,9069,9069,12,2700,39.72000122,40.82555771,1.105556488,39.81213093,0.305559671,477.7455711 +9070,MN,19,13,101,13,2002,2,1,10006,E010,1,15,7700,1,1, ,42 TRINITY PLACE,C5-5, , , , , ,LM, , , ,N,K3,5,0, ,TPHGREENWICH OWNER LL,11469,62089,62089,0,0,59607,0,2482,0,0,2,1,5,0,1,135.62,97.12,134,97, ,3,Y,4,2,2272500,3640500,0,0,1930,1990,0, , ,5.41,10,15,15,1,1000190013,0,13,980492,197003,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,456.9273724,12299.17335,1368000,15,0,9070,9070,53,11925,13.98933315,14.27400017,0.284667015,14.26721609,0.039859291,756.1624527 +9071,MN,588,6,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,90 BEDFORD STREET,R6, , , , , , , , , ,N,C7,4,0,P,MERRIMAKER CORP,2817,15586,2112,13474,0,2112,0,0,0,0,2,1,6,22,23,100,28.17,95,28.17,E,3,N,3,2,274500,2110500,0,0,1900,0,0,Greenwich Village Historic District, ,5.53,2.43,0,4.8,1,1005880006,0,73,982795,206071,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,268.6288306,3185.551886,1836000,9,0,9071,9071,14,3150,18.94666672,21.32999992,2.383333206,19.39950793,0.763281088,271.593111 +9072,MN,134,7506,101,21,1004,2,1,10007,L010,1,15,7700,1,1, ,19 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,2446,12613,4073,8540,0,4073,0,0,0,0,2,1,6,4,5,24.44,100.1,0,0, ,0,N,0,5,114365,973441,0,0,1915,2004,2004, , ,5.16,7.52,6,7.5,1,1001347506,1884,21,981999,199306,12b, ,11S 018,10104, ,1001340006,5/30/2008,1, , ,17V1.1,7,255.6894091,2383.341748,859076,3,0,9072,9072,11,2475,30.50333214,30.50333214,0,30.50333214,0,335.5366535 +9073,MN,454,32,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,346 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,346 EAST 13,4336,16752,0,16752,0,0,0,0,0,0,2,1,6,24,24,42,103.25,42,88, ,3,N,5,2,783000,3366900,0,0,1920,0,0, , ,3.86,4,0,4,1,1004540032,0,40,988727,205503,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,296.8910526,4449.281179,2583900,12,0,9073,9073,20,4500,22.37666702,24.1511116,1.77444458,22.46538925,0.38673123,449.307785 +9074,MN,881,6,105,68,1002,2,2,10010,E016,13,14,5300,1,5,1B,60 LEXINGTON AVENUE,C6-4A,C4-5A,C6-2A, , , , , , , ,Y,Y4,8,0,O,NYS DIVISION MILITARY,63200,149990,149990,0,149990,0,0,0,0,0,2,1,5,0,1,197.5,305,197.5,305, ,2,Y,3,2,18990000,24266250,18990000,24266250,1910,0,0, ,SIXTY-NINTH REGIMENT ARMORY,2.37,10,10,10,1,1008810006,0,68,988623,209373,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,1074.213015,64686.65376,5276250,11,0,9074,9074,288,64800,30.31222153,34.68111038,4.368888855,30.42601977,0.583037192,8762.693695 +9075,MN,64,12,101,15.02,1009,2,1,10038,E004,1,15,7700,1,1, ,150 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,150 BROADWAY N.Y. ASS,13133,279669,279669,0,252669,27000,0,0,0,0,2,1,23,0,92,96.1,141.46,96,138, ,3,Y,3,2,6345000,31707000,0,0,1924,1986,0, , ,21.3,10,15,15,1,1000640012,0,1502,981457,197650,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,517.0288947,14407.60459,25362000,0,0,9075,9075,66,14850,29.95899963,33.99222183,4.033222198,30.09913601,0.693430438,1986.542976 +9076,MN,116,47,103,27,1009,2,1,10038,E009,5,14,7800,1,3,1A,37 MADISON STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,THREE BROTHERS REALTY,900,2800,810,1990,0,810,0,0,0,0,2,1,3,4,5,25.08,35.75,25,35.75, ,0,Y,3,5,15291,83855,0,0,1905,0,0, , ,3.11,3.44,0,6.5,1,1001160047,0,27,984573,198683,12d, ,101S029,10104, ,0, ,1, , ,17V1.1,0,124.4090272,919.9908905,68564,16,0,9076,9076,3,675,14.38099957,14.38099957,0,14.38099957,0,43.1429987 +9077,MN,861,64,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,148 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,148 MAD NEW OWNER LL,4674,71871,71871,0,68371,3500,0,0,0,0,2,1,16,0,19,49.42,94.67,49,87, ,3,N,3,2,1800000,6981300,0,0,1917,0,0, , ,15.38,10,10,10,1,1008610064,0,74,988614,211237,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,305.5523452,5349.279297,5181300,10,0,9077,9077,24,5400,38.80799866,41.47444534,2.666446686,39.2434899,0.717226772,941.8437576 +9078,MN,871,74,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,112 EAST 16 STREET,C6-2A, , , , , , , , , ,N,G1,10,0, ,EAST 16TH STREET OWNE,6660,50174,50174,0,0,0,50174,0,0,0,2,1,9,0,1,64.5,103.25,64,88, ,3,N,5,0,1125000,4710600,0,0,1962,0,0, , ,7.53,6.02,6,6.5,1,1008710074,0,50,987390,207206,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,339.4272723,6799.972402,3585600,5,0,9078,9078,31,6975,37.98099899,39.02000046,1.039001465,38.07406358,0.257470801,1180.295971 +9079,MN,793,7507,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,100 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,13809,94263,30216,64047,0,30216,0,0,0,0,2,1,10,43,47,92,150.1,92,150, ,1,N,3,5,4207514,22688999,0,3589461,2006,0,0, , ,6.83,6.02,6,6.5,1,1007937507,1861,81,985484,208821,8d, ,103 029,10305, ,1007930038,10/1/2008,1, , ,17V1.1,7,491.0970808,14219.37185,18481500,7,0,9079,9079,62,13950,27.66555595,32.70999908,5.04444313,30.7051503,0.819613114,1903.719318 +9080,MN,914,17,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,235 EAST 33 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,59-38 CORP.,1819,6340,0,6340,0,0,0,0,0,0,2,1,4,9,9,18.42,98.75,18,70,E,3,N,5,1,153360,593782,0,0,1920,1984,0, , ,3.49,4,0,4,1,1009140017,0,70,990590,210582,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,242.765409,1926.732035,440422,10,0,9080,9080,9,2025,17.92555618,19.69755554,1.771999359,18.122445,0.556885672,163.102005 +9081,MN,765,17,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,235 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WEST 15 LLC.,2581,7236,0,7236,0,0,0,0,0,0,2,1,4,16,16,25,103.25,25,78, ,3,N,5,2,134100,571050,0,0,1901,0,0, , ,2.8,4,0,4,1,1007650017,0,81,984100,208903,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,261.9202499,2697.607541,436950,7,0,9081,9081,12,2700,22.05333328,28.29444504,6.241111755,23.34685198,2.33443999,280.1622238 +9082,MN,78,20,101,15.02,1003,2,1,10038,E006,1,15,7700,1,1, ,106 FULTON STREET,C6-4, , , , , ,LM, , , ,N,H8,8,0,P,106 FULTON STREET OWN,5646,74863,22468,0,17478,4990,0,0,0,0,2,1,15,0,3,50,102.67,50,110, ,3,Y,5,2,2430000,8457750,0,0,1900,1989,0, , ,13.26,10,10,10,1,1000780020,0,1502,982295,197803,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,362.6403401,5889.504321,6027750,4,0,9082,9082,28,6300,28.83300018,32.45444489,3.621444702,29.08798436,0.919462208,814.463562 +9083,MN,922,46,106,48,5000,2,2,10003,E005,13,14,5900,1,6,1A,10 N D PERLMAN PLACE,R8A,C1-8, , , , , , , , ,Y,I1,8,0,X,BETH ISRAEL HOSPITAL,63664,331459,331459,0,331459,0,0,0,0,0,2,1,12,0,1,184,430,184,430, ,0,Y,3,5,7650000,36094950,7650000,36094950,1910,1970,1977, , ,5.21,6,0,6,1,1009220046,0,48,989143,206448,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,1257.449968,67053.66879,28445000,5,0,9083,9083,299,67275,16.35333252,22.37777901,6.024446487,16.6221888,0.89594286,4970.034452 +9084,MN,858,30,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1B,37 EAST 28 STREET,C5-2, , , , , , , , , ,N,O6,5,0,P,SHARON REALTY NY CORP,4134,34000,34000,0,31000,3000,0,0,0,0,2,1,10,0,8,41.67,98.75,42,90, ,0,N,5,2,1318500,3801150,0,0,1909,1989,0, , ,8.22,10,10,10,1,1008580030,0,74,988512,210261,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,290.9236804,4369.984633,2482650,11,0,9084,9084,21,4725,36.10889053,36.10889053,0,36.10889053,0,758.2867012 +9085,MN,778,73,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,374 8 AVENUE,C6-2A, , , , , , , , , ,N,S2,4,0, ,382 REALTY CORP,1175,2498,699,1799,0,699,0,0,0,0,2,1,3,2,3,18.08,65,18.08,36, ,0,N,5,1,41085,102902,0,0,1920,0,0, , ,2.13,6.02,6,6.5,1,1007780073,0,95,985460,212071,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,169.101781,1270.788196,61817,6,0,9085,9085,5,1125,26.68777847,27.8255558,1.137777328,26.91533394,0.455110931,134.5766697 +9086,MN,573,30,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,24 WEST 10 STREET,R6, , , , , , , , , ,N,A9,1,0, ,JAY NEWMAN,1960,5774,0,5774,0,0,0,0,0,0,2,1,5,1,1,21.25,92.25,21.25,68, ,3,N,5,2,143540,483840,0,0,1901,1999,0,Greenwich Village Historic District, ,2.95,2.43,0,4.8,1,1005730030,0,63,985101,206621,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,229.5658811,1991.121498,340300,8,0,9086,9086,9,2025,18.98099899,25.71344376,6.732444763,19.84565332,2.086460044,178.6108799 +9087,MN,434,55,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,405 EAST 6 STREET,R7A, , , ,C2-5, , , , , ,N,S2,4,0,P,405 LP/AA LLC,1953,4872,1000,3872,0,1000,0,0,0,0,2,1,4,2,3,21.5,90.83,21.5,40, ,3,N,5,1,37419,65234,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,2.49,4,0,4,1,1004340055,0,32,988231,203927,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,233.2011612,2052.004722,27815,1,0,9087,9087,9,2025,18.26866531,20.12299919,1.854333878,19.91696209,0.582760915,179.2526588 +9088,MN,344,171,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,170 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LI MON KONG REALTY CO,2500,9655,800,8855,0,800,0,0,0,0,2,1,5,15,17,25,100,25,88, ,3,N,5,2,180000,592200,0,0,1920,0,0, , ,3.86,4,0,4,1,1003440171,0,2201,988519,201283,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,258.5072741,2567.478201,412200,1,0,9088,9088,10,2250,22.93000031,27.13222313,4.202222824,23.35022259,1.260666847,233.5022259 +9089,MN,551,8,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,20 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,W2,8,0,X,SIS CHARITY ST VINCEN,7005,18984,18984,0,0,0,0,0,0,18984,2,1,4,0,2,50.08,142,50.08,103,E,3,Y,5,1,697500,1427400,697500,1427400,1920,1984,0,Greenwich Village Historic District, ,2.71,2.43,0,4.8,1,1005510008,0,63,984906,205984,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,384.5134488,6995.629945,729900,8,0,9089,9089,32,7200,21.12199974,23.97844505,2.856445313,21.28996503,0.541331403,681.2788811 +9090,MN,512,14,102,49,1003,2,1,10012,L020,1,15,6800,1,2,1A,595 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,595 BWAY ASSOCIATES,5000,30000,10000,20000,0,10000,0,0,0,0,2,1,5,8,10,25,200,25,198, ,3,N,4,2,1125000,5541300,0,0,1900,2005,0,SoHo-Cast Iron Historic District, ,6,0,5,6.5,1,1005120014,0,49,984937,203506,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,463.9681864,4991.627386,4416300,9,0,9090,9090,22,4950,36.38299942,40.94877625,4.565776825,36.59053473,0.951046268,804.9917641 +9091,MN,401,51,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,525 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,525 EAST REALTY CORP.,2425,6750,0,6750,0,0,0,0,0,0,2,1,5,18,18,25,97,25,54, ,3,N,5,2,90000,620550,0,0,1900,0,0, , ,2.78,3,0,3,1,1004010051,0,32,988941,203247,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,253.1231989,2568.307019,530550,1,0,9091,9091,11,2475,14.20666695,16.18444443,1.977777481,14.95070718,0.726442268,164.4577789 +9092,MN,594,7504,102,37,1017,2,3,10013,L008,1,15,6800,1,2, ,491 GREENWICH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,8187,57372,5567,51805,4947,0,0,0,0,620,2,1,14,25,28,93.75,90,93.58,90, ,0,N,0,5,885601,7971751,16520,16520,1915,2002,0, , ,7.01,6.02,6,6.5,1,1005947504,1379,37,981771,203506,12a, ,11N 063,10208, ,1005940021,12/3/2004,1,1,1,17V1.1,7,375.1852177,8544.746352,7086150,0,1,9092,9092,38,8550,7.988888741,9.695555687,1.706666946,8.255087602,0.570818296,313.6933289 +9093,MN,181,7501,101,39,4004,2,1,10013,E007,1,15,7700,3,1, ,355 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,THE NEW HARRISON CO,4928,17135,6059,11076,0,4099,0,0,0,1960,2,2,5,10,12,82.25,150.17,0,0, ,0,N,5,5,386996,2773798,4720,4720,1915,0,0,Tribeca West Historic District, ,3.48,6.02,6,6.5,1,1001817501,80,39,981446,201212,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,7,369.7436432,5327.522495,2386800,14,0,9093,9093,24,5400,16.79500008,17.02555466,0.230554581,16.90710648,0.103244602,405.7705555 +9094,MN,199,127,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,71 1/2 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,QUONG BIG REALT CORP,2470,5056,1500,3556,0,1500,0,0,0,0,2,1,4,11,12,24,100,24,78,E,3,Y,5,2,111150,458550,0,0,1902,0,0, , ,2.05,3.44,6,6.5,1,1001990127,0,29,984408,200214,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,257.1538449,2607.930429,347400,14,0,9094,9094,12,2700,22.37599945,22.62977791,0.253778458,22.39714766,0.07014066,268.7657719 +9095,MN,816,7502,105,54,3000,2,3,10011,L003,13,15,5700,1,5, ,42 WEST 15 STREET,C6-2M, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2581,17060,4920,12140,0,4920,0,0,0,0,2,1,8,7,8,0.05,103.25,25,0, ,3,N,5,2,106429,1247597,7080,7080,1902,0,0, , ,6.61,6.02,6,6.5,1,1008167502,719,54,985559,207912,12c, ,102 033,10306, ,1008160065,12/29/1990,1, , ,17V1.1,7,265.718934,2731.819721,1141170,7,0,9095,9095,12,2700,28.19599915,32.13555527,3.939556122,28.52429549,1.088835791,342.2915459 +9096,MN,546,20,102,59,3004,2,1,10003,L009,6,15,5700,1,2,2A,10 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,4080,21549,21549,0,0,0,0,0,0,21549,2,1,6,0,1,42.33,96.25,42.33,86, ,3,N,5,2,607500,1876500,607500,1876500,1900,0,0, , ,5.28,3.44,0,6.5,1,1005460020,0,59,985640,204998,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,278.0004501,4114.695274,1269000,9,0,9096,9096,17,3825,35.5,38.92000198,3.420001984,35.70117659,0.804706349,606.920002 +9097,MN,624,52,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,306 WEST 4 STREET,R6, , , , , , , , , ,N,C6,2,0, ,306 W 4 OWNERS CORP,2475,9885,0,9885,0,0,0,0,0,0,2,1,5,16,16,28.08,80,28,70, ,3,Y,5,1,270000,1073700,14160,14160,1910,1986,0,Greenwich Village Historic District, ,3.99,2.43,0,4.8,1,1006240052,0,77,983140,207828,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,227.2249593,2599.939523,803700,8,0,9097,9097,12,2700,20.58111191,21.18600082,0.604888916,20.63151932,0.167182465,247.5782318 +9098,MN,622,7501,102,73,5000,2,3,10014,L005,6,15,6400,2,2, ,83 PERRY STREET,C1-6, , , , , , , , , ,N,R6,2,0, ,OWNER / AGENT,1215,2985,0,2985,0,0,0,0,0,0,2,1,3,2,2,0.02,0,0,0, ,0,N,5,5,29250,109442,1550,1550,1901,0,0,Greenwich Village Historic District, ,2.46,3.44,2,6.5,1,1006227501,520,73,982959,207237,12a, ,103 015,10210, ,1006220068,3/3/1988,1, , ,17V1.1,7,159.5717863,1182.524866,80192,8,0,9098,9098,4,900,24.5988884,26.9244442,2.325555801,25.18027735,1.006995201,100.7211094 +9099,MN,573,14,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,56 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0, ,SCHEUER JEFFREY,1983,1776,0,1776,0,0,0,0,0,0,2,1,3.5,1,1,21.5,92.25,21.5,40, ,3,N,5,2,42289,181113,0,0,1899,0,0,Greenwich Village Historic District, ,0.9,2.43,0,4.8,1,1005730014,0,63,984811,206782,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,230.3884453,2026.320177,138824,8,0,9099,9099,9,2025,18.98099899,18.98099899,0,18.98099899,0,170.8289909 +9100,MN,528,70,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,66 CARMINE STREET,R6, , , , , , , , , ,N,S5,4,0, ,"GAD 26, LLC",1500,4300,1120,3180,0,1120,0,0,0,0,2,1,4,6,7,25,60,25,42, ,3,N,5,2,99608,345114,0,0,1910,0,0, , ,2.87,2.43,0,4.8,1,1005280070,0,67,983079,205084,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,172.7069968,1511.424778,245506,9,0,9100,9100,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +9101,MN,100,7501,101,15.01,1008,2,1,10038,E006,1,15,7700,1,1, ,150 NASSAU STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, , ,9400,160157,18441,141716,0,4674,13767,0,0,0,2,1,23,125,126,100,93,0,0, ,0,Y,0,5,2321995,21398396,66080,187121,1900,0,0, ,AMERICAN TRACT SOCIETY BUILDING,17.04,10,10,10,1,1001007501,1286,1501,982613,198457,12b, ,11S 021,10103, ,1001000003,4/7/2003,1, , ,17V1.1,7,404.7792179,10217.94729,19076400,4,0,9101,9101,48,10800,34.79800034,38.47000122,3.672000885,35.12424103,0.972741049,1685.96357 +9102,MN,485,29,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,79 MERCER STREET,M1-5A, , , , , , , , , ,N,O5,5,0,P,79 MERCER STREET LLC,2450,13475,13475,0,11275,2200,0,0,0,0,2,1,6,5,6,24.5,100,25,98, ,2,N,5,0,972000,3008250,0,0,1920,2008,2008,SoHo-Cast Iron Historic District, ,5.5,0,5,6.5,1,1004850029,0,49,984140,202636,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,257.5672916,2617.33959,2036250,0,0,9102,9102,11,2475,17.71444511,26.06666756,8.352222443,20.05343489,3.481000372,220.5877838 +9103,MN,859,88,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,275 5 AVENUE,C5-2, , , , , , , , , ,N,S9,4,0,P,"825 BROADWAY REALTY,",2300,9280,1300,7980,0,650,0,0,0,650,2,1,5,6,8,23,100,23,100,E,3,N,5,2,154929,761260,0,0,1925,1987,0, , ,4.03,10,10,10,1,1008590088,0,74,988049,210887,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,257.7708866,2441.939517,606331,10,0,9103,9103,10,2250,40.70700073,40.8706665,0.163665771,40.72336731,0.049099731,407.2336731 +9104,MN,84,36,101,21,2007,2,1,10007,E010,1,15,7700,1,1,1A,7 WORLD TRADE CENTER,C6-4, , , , , ,LM, , , ,N,O4,5,0,O,THE CITY OF NEW YORK,47250,1636000,1636000,0,1636000,0,0,0,0,0,2,1,52,0,60,205.74,340.89,200,200, ,1,Y,1,2,15120000,287598150,15120000,287598150,2006,2002,0, , ,34.62,10,10,10,1,1000840036,0,21,980958,199163,12b, ,101S038,10102, ,0, ,1,1,1,17V1.1,0,990.2652842,56117.89784,272478016,3,1,9104,9104,249,56025,8.302222252,13.12333298,4.821110725,9.321366364,1.334808167,2321.020225 +9105,MN,606,45,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,132 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"SCHABEL, JACQUELINE",2913,6600,0,5280,0,0,0,0,0,0,2,1,4,2,2,22.5,129.58,22.5,60,E,3,N,5,1,27405,135044,0,0,1900,0,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1006060045,0,71,984306,207323,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,311.4920902,2920.011727,107639,8,0,9105,9105,13,2925,22.88899994,24.25333405,1.364334106,23.11380342,0.382912292,300.4794445 +9106,MN,231,14,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,433 BROADWAY,M1-5B, , , , , , , , , ,N,O3,5,0, ,433 BROADWAY CO LLC,7470,46217,46217,0,37117,9100,0,0,0,0,2,1,7,0,1,75,100,0,0, ,0,N,3,2,2494350,7787250,0,0,2012,0,0,SoHo-Cast Iron Historic District, ,6.19,0,5,6.5,1,1002310014,0,47,983816,201669,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,364.0978433,8160.780867,5292900,0,0,9106,9106,36,8100,12.30000019,14.75,2.449999809,12.54345693,0.647676944,451.5644493 +9107,MN,277,29,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,58 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,ENCORE REALTY MANAGEM,2512,10754,2000,8754,0,2000,0,0,0,0,2,1,6,17,18,25,100,25,83, ,2,N,5,2,169650,793350,0,0,1900,0,0, , ,4.28,3.44,0,6.5,1,1002770029,0,8,985614,198951,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,258.8325449,2712.281013,623700,16,0,9107,9107,10,2250,26.91300011,26.91300011,0,26.91300011,0,269.1300011 +9108,MN,372,12,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,278 EAST 3 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,D9,3,0,P,PEOPLE'S MUTUAL HSNGE,5095,26780,0,26780,0,0,0,0,0,0,2,1,6,18,18,48,105.92,48,93, ,0,N,5,5,135000,591300,0,0,1900,1992,0, , ,5.26,4,0,4,1,1003720012,0,2202,989713,202060,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,316.2382363,5291.937531,456300,1,0,9108,9108,24,5400,13.36666679,17.06444359,3.697776794,13.77460651,0.861834991,330.5905561 +9109,MN,299,35,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,61 CANAL STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,YUAN TONG BUDDHIST TM,3213,8418,8418,0,0,2806,0,0,0,5612,2,1,2,0,2,37.33,120,37,75, ,3,Y,3,2,294300,786150,0,0,1900,1985,0, , ,2.62,6.02,6,6.5,1,1002990035,0,16,986436,199845,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,329.4811797,3540.858757,491850,13,0,9109,9109,16,3600,40.40000153,42.34222412,1.942222595,40.81027889,0.66428143,652.9644623 +9110,MN,220,7503,101,33,3003,2,1,10013,L008,1,15,7700,3,1, ,38 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,9154,61717,1575,60142,0,0,1575,0,0,0,2,1,7,33,33,91.54,100,0,0, ,0,N,0,5,967492,6200550,2360,2360,1900,0,0,Tribeca North Historic District, ,6.74,6.02,6,6.5,1,1002207503,1392,33,982130,202374,12a, ,11N 042,10105, ,1002200036,12/27/2004,1, , ,17V1.1,7,382.6328789,9124.892467,5233060,0,1,9110,9110,40,9000,11.22399998,11.22399998,0,11.22399998,0,448.9599991 +9111,MN,435,37,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,111 AVENUE A,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"AJAL, L.P.",2450,11455,2291,9164,0,2291,0,0,0,0,2,3,5,16,20,24.5,100,25,100, ,3,N,3,2,252000,1545300,0,0,1900,1987,0, , ,4.68,4,0,4,1,1004350037,0,32,988755,203873,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,261.2010624,2766.420625,1293300,12,0,9111,9111,11,2475,18.46888924,19.01099968,0.542110443,18.81386861,0.260779894,206.9525547 +9112,MN,910,12,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,215 EAST 29 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,215 EAST 29TH ST CORP,2419,9280,0,9280,0,0,0,0,0,0,2,1,6,20,20,24.5,98.75,25,72, ,3,N,5,2,100800,1062900,4720,4720,1936,1988,0, , ,3.84,4,0,4,1,1009100012,0,70,989932,209770,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,251.4745683,2443.99024,962100,10,0,9112,9112,12,2700,34.88199997,39.6511116,4.769111633,35.6387221,1.462648617,427.6646652 +9113,MN,405,35,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,182 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"182 B REALTY, CORP.",2715,8220,1200,7020,0,1200,0,0,0,0,2,2,5,16,20,30,90.5,30,70, ,0,N,5,5,310500,1295550,0,0,1930,0,0, , ,3.03,4,0,4,1,1004050035,0,34,989928,204443,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,244.2382299,2718.4937,985050,12,1,9113,9113,12,2700,11.72555542,13.69999981,1.974444389,12.01620356,0.656689442,144.1944427 +9114,MN,859,48,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,434 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0,P,440 REALTY CO,9350,145437,145437,0,136437,9000,0,0,0,0,2,1,16,0,16,90,100,90,98, ,0,Y,3,5,5310000,20667600,0,0,1913,0,0, , ,15.55,10,10,10,1,1008590048,0,74,988787,210525,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,412.0666181,10066.99994,15357600,10,0,9114,9114,45,10125,37.60300064,42.15888977,4.55588913,37.98527222,1.124703745,1709.33725 +9115,MN,75,9,101,15.02,2003,2,1,10038,E006,1,15,7700,1,1, ,133 JOHN STREET,C6-4, , , , , ,LM, , , ,N,K2,5,0, ,J & R REALTY GROUP LT,1075,1935,1935,0,0,1935,0,0,0,0,2,1,2,0,1,20.08,56.67,20,54, ,2,Y,5,2,282150,897750,0,0,1920,1964,2012, , ,1.8,10,10,10,1,1000750009,0,1502,982867,196919,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,154.5496267,1126.04007,615600,4,1,9115,9115,5,1125,7.28000021,7.28000021,0,7.28000021,0,36.40000105 +9116,MN,883,49,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,386 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,K2,5,0, ,386 THIRD LLC,2962,8295,8295,0,0,2500,0,0,0,5795,2,1,3,0,3,24.67,120,25,110, ,3,N,5,2,607500,2109150,0,0,1920,1989,0, , ,2.8,10,2,10,1,1008830049,0,68,989414,209569,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,293.8583198,2990.626973,1501650,11,0,9116,9116,14,3150,33.40789032,33.40789032,0,33.40789032,0,467.7104645 +9117,MN,473,7505,102,45,1004,2,1,10013,E055,5,15,6800,1,2, ,419 BROOME STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,6188,36332,10404,25927,0,9748,0,0,0,656,2,1,6,4,7,50,134,50,111, ,3,Y,5,5,307411,4575921,0,0,1880,2004,2001, , ,5.87,0,5,6.5,1,1004737505,1307,45,984575,201969,12c, ,11N 073,10206, ,1004730036,3/22/2011,1, , ,17V1.1,7,378.2575711,6243.770782,4268510,0,0,9117,9117,27,6075,26.17399979,30.24666786,4.072668076,26.46723443,0.900900827,714.6153297 +9118,MN,576,10,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,504 AVENUE OF THE AMER,C6-2, , , , , , , , , ,N,K4,4,0, ,504 ASSOCIATES LLC,2500,5129,3100,2029,0,3100,0,0,0,0,2,2,3,2,3,25,100,25,100, ,2,N,3,2,290250,1300950,0,0,1920,2008,1995, , ,2.05,6.02,6,6.5,1,1005760010,0,63,985051,207583,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,265.801763,2887.907212,1010700,8,0,9118,9118,14,3150,23.70299912,26.75888824,3.05588913,24.46792017,1.094564256,342.5508823 +9119,MN,615,61,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,32 JANE STREET,R6, , , , , , , , , ,N,C2,2,0, ,ROBERT SCHERMER,1340,3420,0,3420,0,0,0,0,0,0,2,1,3,5,5,20,67,20,46, ,3,N,5,5,204453,344051,0,0,1915,0,0,Greenwich Village Historic District, ,2.55,2.43,0,4.8,1,1006150061,0,77,983265,208141,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,177.6235291,1427.368643,139598,8,0,9119,9119,8,1800,21.74111176,21.74111176,0,21.74111176,0,173.928894 +9120,MN,482,7,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,53 CROSBY STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,CROSBY LANDMARK CORP,2516,14660,0,14660,0,0,0,0,0,0,2,1,7,6,6,25.17,100,25,91,E,2,N,5,2,78179,802916,4720,4720,1900,2016,2006,SoHo-Cast Iron Historic District Extensi, ,5.83,0,5,6.5,1,1004820007,0,45,984734,202310,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,255.7330105,2562.871584,724737,0,0,9120,9120,10,2250,30.48666763,30.94300079,0.45633316,30.89736748,0.136899948,308.9736748 +9121,MN,377,7501,103,26.02,1001,1,2,10009,L011,9,14,6700,4,3, ,366 EAST 8 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2340,5967,0,5967,0,0,0,0,0,0,2,1,4,5,5,24,97.5,0,0, ,0,N,0,5,3810,92357,0,0,1900,0,0, , ,2.55,4,0,4,1,1003777501,1288,2602,990400,203120,12c, ,102 023,10202, ,1003770015,4/7/2003,1, ,1,17V1.1,7,251.2955054,2514.818431,88547,12,1,9121,9121,11,2475,8.443333626,10.73666668,2.293333054,8.88393957,0.789429458,97.72333527 +9122,MN,935,47,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,324 EAST 30 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,324 OWNERS CORP,2074,3844,900,2944,900,0,0,0,0,0,2,1,4,4,5,21,98.75,21,45, ,3,N,5,1,94338,484324,0,0,1910,1984,0, , ,1.85,3,0,3,1,1009350047,0,70,990706,209456,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,243.7257814,2080.058428,389986,10,0,9122,9122,10,2250,34.1566658,37.77000046,3.613334656,36.00787811,1.242198502,360.0787811 +9123,MN,720,70,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,446 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,446 WEST 23RD STREET,2469,7280,0,7280,0,0,0,0,0,0,2,1,5,5,5,25,98.75,25,53, ,2,N,5,0,162739,694031,0,0,1905,1981,0,Chelsea Historic District Extension, ,2.95,3,0,3,1,1007200070,0,93,983342,211431,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,256.065559,2627.846598,531292,2,1,9123,9123,12,2700,9.369999886,11.41211128,2.042111397,9.725546201,0.656119743,116.7065544 +9124,MN,675,1,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,260 12 AVENUE,M1-6, , , , , , , , , ,N,E9,6,0,P,260 TWELFTH AVENUE HO,113157,7701,7701,0,0,0,0,7701,0,0,2,1,1,0,2,199.42,525,50.5,152.5, ,0,Y,3,5,4393800,6175800,4393800,6175800,2007,0,0, , ,0.07,0,10,10,1,1006750001,0,99,982484,213950,8b, ,105S013,10301, ,0, ,1,1,1,17V1.1,0,1438.018815,79269.86416,1782000,6,1,9124,9124,354,79650,6.187777519,11.22555542,5.037777901,8.484340487,1.19231403,3003.456532 +9125,MN,902,30,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,371 2 AVENUE,R9A, , , ,C1-5, , , , , ,N,D6,4,0,P,245 E 21 REALTY LLC,5883,77640,2000,75640,600,1400,0,0,0,0,2,1,16,92,95,72.58,100,70,88, ,2,Y,3,2,589500,7696350,0,4516140,1930,0,0, , ,13.2,7.52,0,7.52,1,1009020030,0,64,989228,207738,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,334.6670214,6321.638721,7106850,5,0,9125,9125,27,6075,19.86555672,19.86555672,0,19.86555672,0,536.3700314 +9126,MN,406,24,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,540 EAST 13 STREET,R8B, , , , , , , , , ,N,I5,8,0,P,538-542 E. 13TH ST CO,6681,6681,6681,0,6681,0,0,0,0,0,2,1,1,0,1,64.67,103.25,65,101, ,3,N,5,2,511200,1845000,511200,1845000,1965,0,0, , ,1,4,0,4,1,1004060024,0,34,989991,204803,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,342.6076894,6882.971844,1333800,12,1,9126,9126,32,7200,11.35888863,13.23666668,1.877778053,11.46979141,0.430300805,367.0333252 +9127,MN,468,48,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,227 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,227 E 12TH ST OWNERS,2581,6024,0,6024,0,0,0,0,0,0,2,1,4,16,16,25,103.25,25,58, ,3,N,5,1,215550,753750,0,0,1920,0,0, , ,2.33,4,0,4,1,1004680048,0,40,987955,205809,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,263.9601115,2737.961382,538200,12,0,9127,9127,12,2700,28.72333336,29.46666718,0.743333817,29.3626291,0.198232555,352.3515491 +9128,MN,376,16,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,248 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,SEVENTH ST CORP,2494,11802,0,11802,0,0,0,0,0,0,2,1,6,12,12,27.42,90.83,27,78, ,3,N,5,2,225000,1010700,25517,25517,1928,0,0, , ,4.73,4,0,4,1,1003760016,0,2602,990331,202870,12c, ,102 023,10202, ,0, ,1, 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MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,K9,5,0, ,"10-12 MLANE, LLC",3241,0,0,0,0,0,0,0,0,0,7,1,0,0,0,45.42,88,0,0, ,0,Y,5,5,324000,324000,0,0,0,0,0, , ,0,10,15,15,1,1000640021,0,1502,981622,197709,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,253.6026879,3247.903516,0,0,0,9133,9133,14,3150,27.40333366,29.95899963,2.55566597,29.61080919,0.854060825,414.5513287 +9134,MN,816,7503,105,54,3000,2,3,10011,L003,13,15,5700,1,5, ,50 WEST 15 STREET,C6-2M, , , , , , , , , ,N,R4,3,0, , ,10325,59168,0,59168,0,0,0,0,0,0,2,1,10,47,47,100,103.25,70,80, ,1,N,5,5,2267994,9863555,0,1832887,2008,0,0, , ,5.73,6.02,6,6.5,1,1008167503,1965,54,985505,207942,12c, ,102 033,10306, ,1008160066,12/15/2008,1, , ,17V1.1,7,412.44522,10615.15708,7595560,7,0,9134,9134,48,10800,28.19599915,31.64999962,3.454000473,28.47282791,0.918619369,1366.69574 +9135,MN,819,39,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,122 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0,P,122 FIFTH ASSOC,18150,181154,181154,0,161154,20000,0,0,0,0,2,1,10,0,4,71.5,175,72,176, ,3,Y,5,2,4500000,28997550,0,0,1900,1987,0,Ladies' Mile Historic District, ,9.98,10,10,10,1,1008190039,0,54,986330,208300,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,757.8824687,19618.08626,24497600,7,0,9135,9135,86,19350,32.36888886,40.88333511,8.514446259,32.87486045,1.744355981,2827.237999 +9136,MN,500,5,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,108 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,108-114 WOOSTER ST CO,10000,54300,9400,44900,0,4700,0,0,0,0,2,1,6,32,36,100,100,50,98, ,3,N,5,2,2250000,11006550,26370,26370,1900,1989,0,SoHo-Cast Iron Historic District, ,5.43,0,5,6.5,1,1005000005,0,49,984148,203302,12c, ,101N072,10206, ,1005000005,8/17/2010,1, , ,17V1.1,0,410.4045061,10522.47228,8756550,0,0,9136,9136,46,10350,17.84111023,21.00444603,3.1633358,18.03040985,0.719431527,829.3988533 +9137,MN,162,47,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,10 DOYERS STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,14 DOYER ST CORP %,892,1784,892,892,0,892,0,0,0,0,2,1,2,1,4,59,46,59,46, ,2,Y,5,2,47700,149400,0,0,1920,1985,0, , ,2,3.44,6,6.5,1,1001620047,0,29,984792,199588,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,142.5620759,1040.837249,101700,16,0,9137,9137,5,1125,39.70399857,39.70399857,0,39.70399857,0,198.5199928 +9138,MN,508,28,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,267 ELIZABETH STREET,C6-2,C6-3, , , , ,LI, , , ,Y,K1,5,0, ,267-9 ELIZABETH ST RL,4387,4350,4350,0,0,4350,0,0,0,0,2,1,1,0,2,50.42,87.08,50,87, ,3,N,5,0,337500,1172700,0,0,1948,0,0, , ,0.99,6.02,6,6.5,1,1005080028,0,43,985950,203068,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,296.7443603,4798.914671,835200,9,0,9138,9138,20,4500,44.87400055,49.25022507,4.376224518,45.46804504,1.247809525,909.3609009 +9139,MN,526,25,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,188 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,SANTE PROPERTIES LLC,2450,17780,1185,16595,0,1185,0,0,0,0,2,1,6,15,17,25,98,25,98, ,3,N,3,2,280800,1416150,0,0,1900,0,0,South Village Historic District, ,7.26,3.44,0,6.5,1,1005260025,0,65,983847,204889,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,252.7447795,2456.965133,1135350,9,0,9139,9139,11,2475,20.00333405,22.74333382,2.739999771,20.25242493,0.787694551,222.7766743 +9140,MN,922,8,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,331 EAST 15 STREET,R8A,C1-6A, , , , , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,43304,171080,171080,0,171080,0,0,0,0,0,2,1,5,0,3,210.42,206.5,210.42,206.5, ,2,Y,5,2,6300000,10989000,6300000,10989000,1906,0,0, ,(FORMER) STUYVESANT HIGH SCHOOL,3.95,6,0,6,1,1009220008,0,48,989075,206207,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,844.8009135,44444.03857,4689000,5,0,9140,9140,197,44325,19.57900047,22.85099983,3.271999359,19.65980474,0.382243039,3872.981533 +9141,MN,802,79,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,295 7 AVENUE,M1-6, , , , , , , , , ,N,K9,5,0, ,BERT BRANDER,2000,7220,5463,1757,1757,1949,0,0,0,1757,2,1,4,2,5,20,100,20,100,E,3,N,5,2,531000,1227150,0,0,1914,0,0, , 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,17V1.1,0,210.2663604,1828.922962,112170,9,0,9147,9147,7,1575,15.38333321,18.51222229,3.128889084,16.22679356,1.144855108,113.5875549 +9148,MN,609,62,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,133 WEST 13 STREET,R6, , , , , , , , , ,N,S5,4,0,P,135 WEST 13 LLC,2117,4800,1200,3600,0,1200,0,0,0,0,2,2,3,6,7,20.5,103.25,22,56, ,3,N,5,1,144763,506452,0,0,1890,1989,0,Greenwich Village Historic District, ,2.27,2.43,0,4.8,1,1006090062,0,71,984650,207944,12c, ,103 027,10209, ,1006090062,3/4/2003,1, , ,17V1.1,0,254.1308599,2185.084513,361689,8,0,9148,9148,10,2250,25.65555573,26.9422226,1.28666687,25.9922224,0.518439522,259.922224 +9149,MN,559,32,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,120 3 AVENUE,C1-9A, , , , , , , , , ,N,K1,5,0,P,118 THIRD AVENUE LLC,4112,4100,4100,0,0,4100,0,0,0,0,2,2,1,0,5,54.67,75,54.67,75, ,2,Y,3,2,427500,2137050,0,0,1900,0,0, , ,1,10,2,10,1,1005590032,0,42,987689,206410,12c, ,102 025,10207,E-68,0, ,1, , ,17V1.1,0,264.6053808,4225.230671,1709550,12,0,9149,9149,20,4500,36.68999863,38.2100029,1.520004272,36.8187767,0.393251716,736.3755341 +9150,MN,635,9,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,749 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,"SCHOONOVER, KATHERINE",1140,3120,0,2280,0,0,0,0,0,0,2,1,3,3,3,20,58.75,20,38, ,2,Y,5,1,58720,192941,0,0,1899,0,0,Greenwich Village Historic District, ,2.74,4,2,4,1,1006350009,0,79,982021,207698,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,161.880656,1231.893436,134221,8,0,9150,9150,7,1575,13.34599972,13.34599972,0,13.34599972,0,93.42199802 +9151,MN,308,15,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,319 GRAND STREET,C6-2G, , , , , , , , , ,N,L8,6,0, ,ORCHARD STREET EQUITI,3032,15056,9030,6026,2590,6440,0,0,0,0,2,1,5,0,6,42.33,71.5,46,70, ,3,N,3,2,293850,1091700,0,0,1915,0,0, ,EDWARD RIDLEY & SONS DEPARTMENT STO,4.97,6.02,6,6.5,1,1003080015,0,16,986759,200525,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,236.702403,3282.065246,797850,13,0,9151,9151,15,3375,36.62400055,39.96110916,3.337108612,36.96847432,0.920335225,554.5271149 +9152,MN,224,30,101,39,1008,2,1,10013,L008,1,15,7700,1,1,3B,458 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,THE MOSKOWITZ CHILDRE,1994,9340,1543,7797,0,1543,0,0,0,0,2,2,5,4,5,24.83,80,25,76, ,3,N,5,5,40367,580203,0,0,1920,2005,2009,Tribeca North Historic District, ,4.68,6.02,6,6.5,1,1002240030,0,39,981547,202947,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,211.3785723,2040.526424,539836,0,1,9152,9152,8,1800,8.210000038,8.210000038,0,8.210000038,0,65.68000031 +9153,MN,923,31,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,301 1 AVENUE,C1-8,R8A, , , , , , , , ,Y,I4,8,0,X,301 FIRST AVENUE NY O,13248,146246,12188,134058,6094,0,0,0,0,6094,2,1,24,184,185,92,144,92,129, ,1,N,3,2,2920500,13542750,2920500,13542750,1969,0,0, , ,11.04,7.52,2,10,1,1009230031,0,48,989396,206548,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,488.1974241,14291.77332,10622300,5,0,9153,9153,64,14400,14.83555603,18.16777802,3.332221985,15.52606805,1.076997724,993.668355 +9154,MN,424,4,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,157 1/2 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0,P,"BITCHATCHO, GILA",1023,2949,2949,0,2119,830,0,0,0,0,2,1,3,0,1,13.5,72.75,13.5,70,E,0,Y,5,5,135000,363600,0,0,1920,0,0, , ,2.88,3.44,6,6.5,1,1004240004,0,18,985906,201422,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,180.0244846,1041.528904,228600,0,0,9154,9154,4,900,35.63777924,35.63777924,0,35.63777924,0,142.5511169 +9155,MN,630,40,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,687 GREENWICH STREET,R6, , , , , , , , , ,N,A9,1,0, ,THE AINSLIE TRUST,926,3084,0,2219,0,0,0,0,0,0,2,1,3,1,1,41,22,41,21, ,3,Y,5,1,58821,194157,0,0,1989,0,0,Greenwich Village Historic District, ,3.33,2.43,0,4.8,1,1006300040,0,75,982290,206486,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,134.5086823,972.5447871,135336,9,0,9155,9155,5,1125,18.16222191,18.16222191,0,18.16222191,0,90.81110954 +9156,MN,802,52,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,114 WEST 27 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,DECEMBER ARTISTS CORP,4227,50400,8400,42000,4200,4200,0,0,0,0,2,1,12,18,20,43.75,98.75,43.75,96, ,3,N,5,2,240300,5223150,45540,45540,1907,1980,0, , ,11.92,0,10,10,1,1008020052,0,95,986475,210918,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,293.5622042,4556.329624,4982850,2,0,9156,9156,22,4950,38.26699829,39.32555771,1.058559418,38.33224609,0.22456324,843.3094139 +9157,MN,537,20,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,550 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,"FRANK M. CONTE, GENER",1111,3120,1092,2028,0,1092,0,0,0,0,2,1,4,3,4,40,55.58,20,54.58, ,3,N,5,5,133231,254126,0,0,1900,1983,0,South Village Historic District, ,2.81,3.44,0,6.5,1,1005370020,0,65,984707,204913,12c, ,103 007,10207, ,1005370020,12/15/1988,1, , ,17V1.1,0,156.2504745,1185.879073,120895,9,0,9157,9157,5,1125,27.39777756,27.4766674,0.078889847,27.41355553,0.031555939,137.0677776 +9158,MN,460,52,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,69 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE MUTUAL,2500,13200,329,12871,0,329,0,0,0,0,2,1,6,21,22,25,100,25,90, ,1,N,5,2,154350,1215450,151263,1191141,1920,0,0,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004600052,0,38,986901,204091,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,258.9086092,2611.35387,1061100,1,0,9158,9158,12,2700,35.65444565,40.23444366,4.579998016,36.08601952,1.261611968,433.0322342 +9159,MN,323,2,103,10.02,2004,1,2,10002,L018,7,14,7600,1,3,3A,326 DELANCEY STREET,PARK, , , , , , , , , ,N,Q0,9,0,C,PARKS AND RECREATION,7077,19000,19000,0,0,0,0,0,0,19000,2,1,3,0,1,81.25,79.08,81.25,79.08, ,0,N,0,5,249300,535950,249300,535950,1910,0,0, , ,2.68,0,0,0,1,1003230002,0,1002,0,0,12c, ,102 008,10201, ,0, ,1,1,1,17V1.1,0,328.6822677,6750.004674,286650,1,1,9159,9159,30,6750,7.21999979,8.627222061,1.407222271,7.427092425,0.43716724,222.8127728 +9160,MN,915,62,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,521 3 AVENUE,C1-9, , , , , , , , , ,N,S4,4,0, ,521 ASSOCIATES LLC,1105,4493,900,3593,0,900,0,0,0,0,2,1,5,4,5,18.42,60,18,58, ,3,N,5,5,281145,650000,0,0,1920,0,0, , ,4.07,10,2,10,1,1009150062,0,78,990487,211120,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,165.5811203,1199.389729,368855,10,0,9160,9160,6,1350,27.39299965,31.41699982,4.024000168,28.06366634,1.499656319,168.3819981 +9161,MN,642,12,102,79,1010,2,3,10014,L005,6,15,6100,1,2,3B,108 HORATIO STREET,C6-2A, , , , , , , , , ,N,D1,3,0, ,110-114 HORATIO II L.,4885,26250,0,26250,0,0,0,0,0,0,2,1,6,33,33,50,87.5,50,86, ,2,Y,5,2,1350000,3985200,0,0,1900,1987,0, ,F.W. DEVOE & CO. FACTORY,5.37,6.02,6,6.5,1,1006420012,0,79,981760,208360,8b, ,103 014,10210,E-4,0, ,1,1,1,17V1.1,0,279.1700172,4479.200737,2635200,8,1,9161,9161,19,4275,7.369999886,7.369999886,0,7.369999886,0,140.0299978 +9162,MN,201,26,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,9 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,SOPHIE VON YOUNG ENTE,2361,7083,4722,2361,2361,2361,0,0,0,0,2,1,3,1,3,25,94.83,25,94,E,3,Y,5,2,141750,759150,0,0,1915,0,0, , ,3,3.44,6,6.5,1,1002010026,0,29,984887,200078,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,243.5685923,2362.748287,617400,14,0,9162,9162,11,2475,33.0379982,33.0379982,0,33.0379982,0,363.4179802 +9163,MN,410,69,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,104 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,104 DELANCEY STREET S,1875,3750,3750,0,1875,1875,0,0,0,0,2,1,2,0,1,25,75,25,75, ,0,N,5,5,360000,1226700,0,0,1990,2005,0, , ,2,6.02,6,6.5,1,1004100069,0,18,987405,201228,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,208.7051705,2000.178087,866700,13,0,9163,9163,9,2025,31.33099937,31.33099937,0,31.33099937,0,281.9789944 +9164,MN,449,48,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,67 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,NATALIA T SUMYK,2313,6048,0,6048,0,0,0,0,0,0,2,1,4,9,9,25,92.5,25,60, ,3,N,5,1,49445,198088,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.61,4,0,4,1,1004490048,0,38,987939,204366,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,240.4482729,2380.590409,148643,12,0,9164,9164,10,2250,25.48777771,27.28777695,1.799999237,25.95122204,0.617279866,259.5122204 +9165,MN,286,5,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,217 HENRY STREET,R7-2, , , , , , , , , ,N,C1,2,0,P,217 HENRY STREET LLC,2056,6456,0,6456,0,0,0,0,0,0,2,1,4,10,10,23.5,87.5,24,75,E,2,N,5,1,21844,84445,0,0,1900,2007,0, , ,3.14,3.44,0,6.5,1,1002860005,0,201,987951,199360,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,230.4644112,2148.870556,62601,13,0,9165,9166,8,1800,29.71888924,29.71888924,0,29.71888924,0,237.7511139 +9166,MN,526,74,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,170 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"PERELMAN, DEBRA",2018,3600,0,3600,0,0,0,0,0,0,2,1,4,3,3,20.17,100.08,20.17,45, ,2,N,5,0,71892,222316,0,0,1899,2006,0,MacDougal-Sullivan Gardens Historic Dist, ,1.78,3.44,0,6.5,1,1005260074,0,65,983883,204551,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,246.9493306,2086.063888,150424,9,0,9166,9167,9,2025,23.22699928,23.69555664,0.468557358,23.41895019,0.216728224,210.7705517 +9167,MN,92,17,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,47 ANN STREET,C6-4, , , , , ,LM, , , ,N,D9,3,0,P,47 ANN STREET ASSOCIA,4260,24610,3600,21010,0,3600,0,0,0,0,2,1,7,12,13,27.92,162.08,28,148, ,3,Y,5,2,287550,1855800,0,0,1935,1999,0, , ,5.78,10,10,10,1,1000920017,0,1501,982391,198147,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,377.9489189,4438.538383,1568250,4,0,9167,9168,17,3825,34.5909996,34.5909996,0,34.5909996,0,588.0469933 +9168,MN,227,2,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,383 CANAL STREET,M1-5A, , , , , , , , , ,N,S9,4,0, ,HERBERT MOSKOWITZ AS,1667,6150,1538,4612,0,1538,0,0,0,0,2,1,4,3,5,21.42,80,21,80,E,3,Y,5,5,81067,715000,0,0,1910,0,0, , ,3.69,0,5,6.5,1,1002270002,0,47,982967,202203,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,201.1063903,1758.193539,633933,0,1,9168,9169,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +9169,MN,910,31,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,531 2 AVENUE,C1-8A, , , , , , , , , ,N,K2,5,0, ,"LOUISE BONSIGNORE, L.",1758,1758,1758,0,0,1758,0,0,0,0,2,1,2,0,1,17.58,100,17.58,50,E,3,N,5,2,112500,255600,0,0,1910,0,0, , ,1,7.52,2,7.5,1,1009100031,0,70,990277,209639,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,241.8613604,1797.137803,143100,10,0,9169,9170,7,1575,34.37666702,36.59000015,2.21333313,34.71085739,0.768387643,242.9760017 +9170,MN,485,40,102,49,1008,2,1,10013,E055,1,15,6800,1,2,1A,468 BROOME STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,466-26 SOHO LLC,5000,23823,23823,0,18823,5000,0,0,0,0,2,1,5,0,8,50,100.5,50,101, ,3,N,3,2,787500,7501500,0,0,1880,1989,2008,SoHo-Cast Iron Historic District, ,4.76,0,5,6.5,1,1004850040,0,49,983943,202568,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,310.4908167,5368.165777,6714000,0,0,9170,9171,25,5625,17.71444511,19.1222229,1.407777786,17.84995621,0.373434664,446.2489052 +9171,MN,797,16,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,145 WEST 21 STREET,C6-3A, , , , , , , , , ,N,S4,4,0, ,145 W 21ST REALTY LLC,1967,5726,500,5226,0,500,0,0,0,0,2,1,5,4,5,19.42,98.75,19,64,E,3,N,5,5,235729,793496,0,0,1910,2001,0, , ,2.91,7.52,6,7.5,1,1007970016,0,87,985549,209799,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,249.3059427,2144.333612,557767,7,0,9171,9172,10,2250,28.16444397,30.78000069,2.615556717,28.42599964,0.784667015,284.2599964 +9172,MN,238,4,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,124 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,124-126 MOTT CP,4675,24300,1450,22850,0,1450,0,0,0,0,2,1,6,39,41,50,94,50,80, ,3,N,5,2,337500,1206900,0,0,1912,1985,0, , ,5.2,6.02,6,6.5,1,1002380004,0,41,985188,200945,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,299.546162,5028.194434,869400,0,0,9172,9173,23,5175,31.90200043,34.5344429,2.632442474,32.01645445,0.536836942,736.3784523 +9173,MN,834,26,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,25 WEST 32 STREET,C6-4, , , , , , , , , ,N,K4,4,0, ,BROADWAY-32ND ST.RLTY,4616,26246,26246,0,4310,21936,0,0,0,0,2,1,6,0,7,47.5,98.75,48,99,E,3,N,5,2,1044000,4100400,0,0,1906,1986,0, , ,5.69,10,10,10,1,1008340026,0,76,987915,211768,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,300.7989883,4943.283853,3056400,10,0,9173,9174,22,4950,45.84899902,45.84899902,0,45.84899902,0,1008.677979 +9174,MN,612,54,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,6 PERRY STREET,C2-6,R6,C1-6, , , , , , , ,Y,C0,2,0, ,HANIFIN PETER J,2097,4656,0,3352,0,0,0,0,0,0,2,1,2,3,3,22,95.33,22,42,E,3,N,5,1,41666,174182,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.22,3.44,2,6.5,1,1006120054,0,71,983939,207299,12a,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,232.9668843,2051.052242,132516,8,0,9174,9175,9,2025,21.78555489,23.87666702,2.091112137,22.38728375,0.829684428,201.4855537 +9175,MN,459,17,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,62 EAST 4 STREET,R8B, , , , , , , , , ,N,J7,5,0,P,THE ROD RODGERS & DUO,4808,12500,12500,0,0,0,0,0,0,12500,2,1,5,0,1,25,192.33,25,100, ,0,N,5,5,405000,860850,405000,860850,1920,0,0,East Village/Lower East Side Historic Di, ,2.6,4,0,4,1,1004590017,0,38,986802,203911,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,445.1065179,4677.737218,455850,1,0,9175,9176,21,4725,35.86666489,41.79777908,5.931114197,37.36229052,2.133853509,784.6081009 +9176,MN,279,61,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,9 EAST BROADWAY,C6-1G, , , , , ,TA, , , ,N,K4,4,0, ,"NINE EAST BROADWAY,",1868,9885,9885,0,8085,1800,0,0,0,0,2,1,6,0,3,25,72.33,25,74, ,3,Y,5,2,197100,714150,0,0,1910,0,0, , ,5.29,3.44,6,6.5,1,1002790061,0,27,984931,199127,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,200.3034428,1864.100368,517050,16,0,9176,9177,9,2025,27.60099983,27.60099983,0,27.60099983,0,248.4089985 +9177,MN,421,44,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,174 FORSYTH STREET,C4-4A, , , , , , , , , ,N,D3,3,0,P,NYSD HOUSING DVLP ETC,12083,38880,0,38880,0,0,0,0,0,0,2,1,6,40,40,120.83,100,120,54, ,0,N,5,5,270000,741150,270000,741150,1993,0,0, , ,3.22,4,4,4,1,1004210044,0,3601,986761,202135,12c, ,102 002,10204, ,1004210044,5/7/1996,1, , ,17V1.1,0,441.1401727,12081.66583,471150,13,0,9177,9178,53,11925,39.84777832,42.22777939,2.380001068,41.56099593,0.420384017,2202.732784 +9178,MN,939,50,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,318 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0,P,"EAST 34TH STREET, LLC",2345,11586,0,11586,0,0,0,0,0,0,2,1,6,24,24,23.75,98.75,24,83, ,3,N,5,2,225000,1509300,0,0,1940,1989,0, , ,4.94,10,2,10,1,1009390050,0,70,991158,210384,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,252.9443298,2539.984113,1284300,10,1,9178,9179,12,2700,10.03999996,14.38111115,4.341111183,10.60953705,1.328203359,127.3144445 +9179,MN,469,36,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,215 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,S5,4,0, ,UKRAINIAN ORTHODOX ET,2262,8507,3100,5407,0,3100,0,0,0,0,2,1,5,6,7,25.75,92.5,26,70,E,3,Y,5,2,244811,678671,0,0,1900,1988,1995, , ,3.76,4,2,4,1,1004690036,0,40,988233,205947,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,237.5747095,2238.807108,433860,12,0,9179,9180,10,2250,29.06444359,29.47777748,0.413333893,29.10577698,0.124000168,291.0577698 +9180,MN,475,7507,102,47,2009,2,1,10013,L008,1,15,6800,1,2, ,351 WEST BROADWAY,M1-5A, , , , , , , , , ,N,RM,4,0, , ,3096,14216,4455,9761,0,3404,0,1051,0,0,2,1,5,4,6,43,72,43,70, ,0,N,0,5,196227,1133439,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.59,0,5,6.5,1,1004757507,1020,47,983385,202608,12a, ,101N/069,10206, ,1004750008,12/29/1998,1,1,1,17V1.1,7,233.0041887,3162.401897,937212,0,1,9180,9181,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +9181,MN,452,47,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,221 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"221 EAST 10TH, LLC",2369,10470,800,9670,0,800,0,0,0,0,2,1,6,24,26,25,94.75,25,79, ,3,N,5,2,207000,765450,0,0,1900,0,0, , ,4.42,4,0,4,1,1004520047,0,40,988259,205046,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,250.4300068,2491.602907,558450,12,0,9181,9182,11,2475,22.86222267,27.11333275,4.251110077,23.24868722,1.222108221,255.7355595 +9182,MN,162,38,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,9 CHATHAM SQUARE,C6-1G,C6-1, , , , ,TA, , , ,Y,O8,5,0, ,"9-10 CHATHAM, LLC",5136,27375,21000,6375,15000,4000,0,0,0,2000,2,2,5,6,9,25.75,130.17,25,130, ,0,Y,4,5,320850,1760400,0,0,1920,0,0, , ,5.33,3.44,6,6.5,1,1001620038,0,29,984755,199487,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,434.159196,5182.278368,1439550,16,0,9182,9183,24,5400,30.90500069,40.35444641,9.449445724,31.64604235,2.463010194,759.5050163 +9183,MN,137,34,101,21,2001,2,1,10007,L010,1,15,7700,1,1, ,144 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,S4,4,0, ,MANHATTAN REALTY COMP,1875,8470,1700,6770,0,1700,0,0,0,0,2,1,5,4,5,24.92,75,25,64, ,3,Y,5,5,92114,580127,0,0,1920,1980,0, , ,4.52,7.52,6,7.5,1,1001370034,0,21,981542,199967,12b,Y,101S015,10104, ,0, ,1, , ,17V1.1,0,211.6530384,2119.223736,488013,14,0,9183,9184,10,2250,19.68199921,20.96777725,1.285778046,19.81057701,0.385733414,198.1057701 +9184,MN,16,7519,101,317.03,2003,2,1,10282,L010,1,15,8900,1,1, ,300 NORTH END AVENUE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X, ,17353,233010,33932,199078,0,0,15400,0,0,18532,2,1,22,191,192,196,101,0,0, ,0,Y,0,5,1952100,40133215,1952100,40133215,2008,0,0, , ,13.43,0,0,0,1,1000167519,2256,31703,980272,200358,12a, ,101S090,10101, ,1000160230,9/26/2011,1,1,1,17V1.1,7,630.4917028,18412.99672,38181100,3,1,9184,9185,83,18675,8.59666729,17.70000076,9.103333473,14.11113803,2.820092403,1171.224457 +9185,MN,203,2,102,41,2002,2,1,10013,L006,5,15,6800,1,2, ,38 ELIZABETH STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,"JEMCOM CANAL REVERSE,",7512,29425,29425,0,25925,3500,0,0,0,0,2,2,5,0,12,100,75,100,75, ,0,N,3,2,1859400,2450535,0,0,1915,1982,0, , ,3.92,3.44,6,6.5,1,1002030002,0,41,985189,200379,12c, ,101N049,10105, ,1002030002,1/1/2014,1, , ,17V1.1,0,357.7664508,7835.410496,591135,14,0,9185,9186,35,7875,40.21222305,41.28222275,1.069999695,40.24279447,0.178260479,1408.497807 +9186,MN,65,7502,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1, ,180 BROADWAY,C5-5, , , , , ,LM, , , ,N,RC,5,0, ,182 GROUND LESSE LLC,7488,149160,24937,0,0,24937,0,0,0,0,2,1,23,0,2,67,137,67,137, ,3,N,0,5,2190150,18893700,1823994,13701600,2013,0,0, , ,19.92,10,15,15,1,1000657502,2407,1502,981652,197956,12b, ,101S011,10102, ,1000650019,7/11/2013,1, , ,17V1.1,7,392.9991347,7988.983621,16703600,3,0,9186,9187,37,8325,29.17399979,34.08222198,4.908222198,29.77037224,1.493244812,1101.503773 +9187,MN,522,28,102,55.02,2006,2,1,10012,L009,9,15,5700,1,2,2A,324 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,DE MAIMON CORP,6272,38720,38720,0,33330,5390,0,0,0,0,2,1,8,0,9,89.83,77.75,56,77, ,2,Y,4,2,1413000,4754250,0,0,1900,2016,2013,NoHo Historic District, ,6.17,0,5,6.5,1,1005220028,0,5502,985573,203645,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,340.2206978,6636.173768,3341250,9,0,9187,9188,30,6750,40.66999817,42.91555405,2.245555878,40.93233185,0.533972199,1227.969955 +9188,MN,225,7502,101,39,1007,2,1,10013,L008,1,15,7700,3,1, ,16 DESBROSSES STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5960,27798,3739,24059,3125,0,0,0,0,614,2,1,6,8,11,33,175,33.83,175.58, ,0,N,0,5,153451,3105450,0,0,1940,0,0, , ,4.66,6.02,6,6.5,1,1002257502,2058,39,981770,202943,12a, ,11N 040,10105, ,1002250005,9/3/2009,1, ,1,17V1.1,7,421.9706197,5871.149162,2952000,0,1,9188,9189,26,5850,8.35888958,9.291110992,0.932221413,8.394744249,0.179273349,218.2633505 +9189,MN,543,27,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,16 MINETTA LANE,R7-2, , , ,C1-5, , , , , ,N,A5,1,0, ,"CHUU, LOUISE",1250,3721,0,3721,0,0,0,0,0,0,2,1,5.5,1,1,25,50,25,50, ,3,N,5,0,92682,192944,0,0,1930,1991,2013,South Village Historic District, ,2.98,3.44,0,6.5,1,1005430027,0,65,983976,205366,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,152.8857173,1289.342001,100262,9,0,9189,9190,6,1350,19.06100082,19.06100082,0,19.06100082,0,114.3660049 +9190,MN,386,10,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,53 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,53 AVE B REALTY CORP,2164,11485,1900,9585,0,1900,0,0,0,0,2,1,6,16,18,24,90.92,24,90, ,3,N,3,2,135000,1185300,0,0,1900,2010,0, , ,5.31,4,0,4,1,1003860010,0,2601,989138,202715,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,232.2880493,2362.617267,1050300,1,0,9190,9191,10,2250,14.43666649,18.20666695,3.770000458,15.25747776,1.483401331,152.5747776 +9191,MN,487,20,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,399 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K4,4,0, ,MW 156-162 SPRING STR,6024,15461,7731,7730,0,6024,0,1707,0,0,2,5,3.5,20,30,80.58,80,20,46, ,0,Y,3,5,1350000,5837400,0,0,1880,0,0,SoHo-Cast Iron Historic District, ,2.57,0,5,6.5,1,1004870020,0,47,983744,203157,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,332.3022024,6488.053827,4487400,0,0,9191,9192,30,6750,13.42399979,15.77666664,2.352666855,13.6069924,0.526407078,408.2097721 +9192,MN,753,71,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,354 WEST 30 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,ALLEN B GOLD,1810,2808,0,2808,0,0,0,0,0,0,2,1,3,3,3,18.33,98.75,18.33,50,E,2,N,5,2,61183,125126,0,0,1901,0,0, , ,1.55,4,0,4,1,1007530071,0,97,984946,212648,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,235.2093289,1735.430636,63943,6,0,9192,9193,8,1800,34.23199844,37.28777695,3.055778503,34.62635994,1.006444101,277.0108795 +9193,MN,464,6,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,29 3 AVENUE,C6-1,R8B, , , , , , , , ,Y,K2,5,0, ,COOPER UNION FOR THE,8775,18164,18164,0,0,18164,0,0,0,0,2,1,2,0,6,31.08,106,30,158, ,3,Y,3,2,900000,4817250,0,0,1920,1987,0, , ,2.07,3.44,6,6.5,1,1004640006,0,38,987226,205137,12c, ,102 018,10205, ,1004640006,1/7/1993,1, , ,17V1.1,0,448.2188295,9380.430054,3917250,12,0,9193,9194,44,9900,34.9980011,39.15777969,4.159778595,35.63849076,1.239789082,1568.093594 +9194,MN,804,18,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,131 WEST 28 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,GARDEN LOFTS CORP,5267,34689,4000,30689,0,4000,0,0,0,0,2,1,7,24,25,53.33,98.75,53.33,93, ,3,N,5,2,411300,3537450,25960,25960,1909,1981,0, , ,6.59,0,10,10,1,1008040018,0,95,986497,211378,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,312.2002875,5560.51128,3126150,2,0,9194,9195,26,5850,33.41199875,33.41199875,0,33.41199875,0,868.7119675 +9195,MN,753,76,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,364 WEST 30 STREET,R8B,C6-2A, , , , , , , , ,Y,C2,2,0,P,364 WEST 30TH STREET,1975,2685,0,2685,0,0,0,0,0,0,2,1,3,5,5,20,98.75,20,52,E,3,N,5,5,140220,261991,0,0,1900,0,0, , ,1.36,4,0,4,1,1007530076,0,97,984863,212694,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,240.074599,1979.407628,121771,6,0,9195,9196,9,2025,34.23199844,37.79777908,3.56578064,35.77582677,1.416523257,321.9824409 +9196,MN,409,53,103,18,2001,2,1,10002,E015,7,14,7400,1,3,2B,109 DELANCEY STREET,C6-1, , , , , , , , , ,N,K2,5,0, ,"DELANCEY STREET, LLC",6688,14408,14408,0,8044,6364,0,0,0,0,2,1,2,0,5,88,76,86,74,E,3,N,3,2,900000,2443050,0,0,1957,2008,0, , ,2.15,3.44,6,6.5,1,1004090053,0,18,987402,200989,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,339.1656446,7157.030541,1543050,13,0,9196,9197,31,6975,32.20777893,33.0288887,0.821109772,32.26595454,0.2000952,1000.244591 +9197,MN,502,4,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,94 THOMPSON STREET,M1-5A,R7-2, , , , , , , , ,Y,D4,3,0,P,420 WEST BROADWAY COR,8200,40039,10019,30020,0,7019,0,3000,0,0,2,1,6,9,10,50,164,50,164, ,3,N,4,2,1770717,5605316,0,0,1900,2005,2014,SoHo-Cast Iron Historic District Extensi, ,4.88,0,5,6.5,1,1005020004,0,49,983725,203487,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,437.3438574,8443.722898,3834600,0,0,9197,9198,38,8550,12.81888866,15.25666618,2.437777519,12.8830407,0.390221625,489.5555468 +9198,MN,584,29,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,77 BEDFORD STREET,R6, , , , , , , , , ,N,A4,1,0, ,M&A BEDFORD PROPERTIE,1947,2664,0,2664,0,0,0,0,0,0,2,1,3,1,1,24.33,80,24.33,37, ,2,N,3,2,65604,204045,0,0,1901,2014,0,Greenwich Village Historic District, ,1.37,2.43,0,4.8,1,1005840029,0,67,982858,205754,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,133.1399752,1038.28422,138441,9,0,9198,9199,4,900,16.16111183,17.87888908,1.717777252,16.99166727,0.831521423,67.96666908 +9199,MN,465,16,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,118 EAST 10 STREET,R8B, , , , , , , , , ,N,C0,2,0,P,SC SEDGWICK LLC,918,3580,0,2950,0,0,0,0,0,0,2,1,5,3,3,18,50.5,18,35, ,3,Y,5,1,38316,96768,0,0,1899,0,0,St. Mark's Historic District, ,3.9,4,0,4,1,1004650016,0,40,987508,205311,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,140.2451373,926.312256,58452,12,0,9199,9200,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +9200,MN,485,36,102,49,1008,2,1,10013,E055,1,15,6800,1,2,1A,458 BROOME STREET,M1-5A, , , , , , , , , ,N,C6,2,0, ,THE NIEUW BROOME TNTS,2500,10630,2126,8504,0,2126,0,0,0,0,2,1,5,4,5,25,100,25,94, ,3,N,5,2,167317,849301,3622,3622,1900,2008,2013,SoHo-Cast Iron Historic District, ,4.25,0,5,6.5,1,1004850036,0,49,984038,202505,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,254.8329003,2494.802451,681984,0,0,9200,9201,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +9201,MN,776,20,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,229 WEST 26 STREET,C6-2, , , , , , , , , ,N,D9,3,0,P,229 REALTY ASSOCIATES,2364,13000,0,13000,0,0,0,0,0,0,2,1,7,26,26,24.83,98.75,25,81, ,3,N,5,1,139050,761400,0,0,1925,1974,0, , ,5.5,6.02,6,6.5,1,1007760020,0,95,985483,211350,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,250.2851328,2509.796117,622350,2,0,9201,9202,10,2250,26.70400047,28.56333351,1.859333038,26.94780045,0.565472388,269.4780045 +9202,MN,502,12,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,110 THOMPSON STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,110 THOMPSON ST OWNRS,2675,12750,2200,10550,0,2200,0,0,0,0,2,1,6,30,32,38,70.75,38,61, ,3,Y,5,1,184500,1610100,4720,4720,1900,0,0,Sullivan-Thompson Historic District, ,4.77,3.44,0,6.5,1,1005020012,0,49,983782,203666,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,219.9870927,2696.523801,1425600,0,0,9202,9203,13,2925,12.81888866,17.09111214,4.272223473,13.62458104,1.511610849,177.1195536 +9203,MN,434,44,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,427 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,427 E 6TH ST HOUSING,2270,7980,0,7980,0,0,0,0,0,0,2,1,5,15,15,25,90.83,25,76, ,3,N,5,2,127800,690750,4720,4720,1900,1985,0,East Village/Lower East Side Historic Di, ,3.52,4,0,4,1,1004340044,0,32,988445,203808,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.767217,2221.418509,562950,1,0,9203,9204,10,2250,18.26222229,20.33666611,2.074443817,18.54188881,0.635829163,185.4188881 +9204,MN,695,34,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,501 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,K4,4,0,P,SYCAMORE COURT,2160,4501,3100,1400,0,3100,0,0,0,0,2,1,3.5,1,2,40,54,40,54, ,3,N,3,0,399600,893700,0,0,1995,0,0, , ,2.08,7.52,6,7.5,1,1006950034,0,99,983070,211780,8b, ,105S003,10301, ,1006950034,2/11/1997,1, ,1,17V1.1,0,194.7628302,2320.57248,494100,2,1,9204,9205,10,2250,9.51099968,10.10555553,0.594555855,9.575688648,0.177310143,95.75688648 +9205,MN,828,28,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,1147 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0,P,1147 BROADWAY TRUST,1450,6491,6491,0,4937,1554,0,0,0,0,2,1,5,0,4,20.92,76.25,21,74,E,3,Y,5,2,225000,729450,0,0,1920,1990,0,Madison Square North Historic District, ,4.48,0,10,10,1,1008280028,0,58,987241,210396,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,195.6857978,1616.054713,504450,2,0,9205,9206,8,1800,42.13444519,42.13444519,0,42.13444519,0,337.0755615 +9206,MN,417,1,103,36.01,1000,1,1,10002,L018,5,14,6500,1,3,2A,224 ELDRIDGE STREET,C4-4A,C6-2A, , , , , , , , ,Y,D1,3,0,O,NYC CITY HSG AUTRHORI,52294,136000,0,136000,0,0,0,0,0,0,2,1,17,149,149,302.58,172.83,200,40, ,0,N,5,2,2475000,17430300,2475000,17430300,1970,0,0, , ,2.6,4,4,4,1,1004170001,0,3601,987163,202405,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,932.5811536,45785.38092,14955300,1,0,9206,9207,204,45900,35.66999817,39.09000015,3.420001984,37.77408886,0.747339731,7705.914127 +9207,MN,712,27,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,405 WEST 14 STREET,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,405 WEST 14TH STREET,2950,8590,8590,0,4295,4295,0,0,0,0,2,1,4,0,1,25,117.58,25,116, ,3,N,5,0,118800,2935350,0,0,1929,2012,2000,Gansevoort Market Historic District, ,2.91,0,5,6.5,1,1007120027,0,83,982648,209405,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,305.5146418,3228.823496,2816550,7,0,9207,9208,14,3150,12.4989996,12.4989996,0,12.4989996,0,174.9859943 +9208,MN,765,8,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,255 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,CHELSEA DVLPMNT CO,2546,9700,0,9700,0,0,0,0,0,0,2,1,5,20,20,24.67,103.25,25,92, ,3,N,5,2,157050,892350,0,0,1901,0,0, , ,3.81,4,0,4,1,1007650008,0,81,983909,209009,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,262.6622344,2736.690452,735300,7,0,9208,9209,11,2475,22.05333328,22.05333328,0,22.05333328,0,242.5866661 +9209,MN,410,51,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,113 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,K2,5,0,P,113 RIVINGTON REALTYC,1348,2700,2700,0,1200,1500,0,0,0,0,2,1,2,0,2,22,61.25,22,58, ,3,N,5,2,180000,555300,0,0,1900,1985,0, , ,2,4,4,4,1,1004100051,0,18,987613,201507,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,174.6602618,1448.231367,375300,13,0,9209,9210,6,1350,31.33099937,32.09666824,0.765668869,31.45861085,0.28534794,188.7516651 +9210,MN,409,33,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,254 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,DDCM BROOME REALTY LL,2670,12507,2330,10177,0,2330,0,0,0,0,2,1,6,16,18,29.5,90.5,30,77, ,3,N,5,2,51300,2059650,0,0,1900,1988,0, , ,4.68,4,4,4,1,1004090033,0,18,987047,200947,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,245.2118778,2756.26822,2008350,13,0,9210,9211,12,2700,35.36399841,35.36399841,0,35.36399841,0,424.367981 +9211,MN,614,37,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,237 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,W 11 ST OWNERS INC,3750,13968,0,13968,0,0,0,0,0,0,2,1,6,20,20,37.5,100,38,80, ,3,Y,5,2,214200,1628100,190264,190264,1915,0,0,Greenwich Village Historic District, ,3.72,2.43,0,4.8,1,1006140037,0,77,983456,207602,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,282.528057,4017.012255,1413900,8,0,9211,9212,19,4275,26.80333328,28.79777718,1.994443893,26.90830401,0.445353095,511.2577763 +9212,MN,167,1,101,29,1002,2,1,10013,L001,5,15,7700,1,1, ,125 WHITE STREET,C6-4, , , , , , , , , ,N,Z1,8,0,C,DCAS,108950,1106962,1106962,0,0,0,0,0,0,1106962,2,3,24,0,1,451.08,224.08,451,224, ,0,Y,3,2,13413600,81551250,13413600,79161707,1939,0,0, , ,10.16,10,10,10,1,1001670001,0,29,984033,200169,12c,Y,101S031,10105, ,0, ,1, , ,17V1.1,0,1469.84053,111024.9857,68137600,14,0,9212,9213,494,111150,13.85000038,19.52777863,5.677778244,15.12560537,1.219785593,7472.049053 +9213,MN,885,60,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,136 EAST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,JOHN B MAURER INC,2473,11323,4559,6764,0,0,0,0,0,4559,2,1,3,6,6,25,98.75,25,59, ,3,N,5,5,36781,329356,0,0,1910,1984,0, , ,4.58,4,0,4,1,1008850060,0,72,989452,210152,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,252.1999268,2558.525953,292575,10,0,9213,9214,12,2700,30.56200027,31.32777786,0.765777588,30.62581507,0.211649744,367.5097809 +9214,MN,303,25,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,61 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,H3,5,0, ,"LBW ENTERPRISES, LLC.",5017,40529,5052,0,0,0,5052,0,0,0,2,1,11,0,1,50.17,100,48.75,100, ,0,N,5,5,837000,3771000,0,0,2006,0,0, , ,8.08,3.44,6,6.5,1,1003030025,0,16,985652,200380,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,307.1631151,5246.230861,2934000,0,0,9214,9215,24,5400,41.4129982,41.4129982,0,41.4129982,0,993.9119568 +9215,MN,603,73,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,71 MORTON STREET,C1-6, , , , , , , , , ,N,K1,5,0, ,"71 MORTON STREET, LLC",2686,2684,2684,0,0,2684,0,0,0,0,2,1,1,0,1,32.67,75,32.67,75, ,0,Y,2,5,78750,864450,0,0,1954,2012,0, , ,1,3.44,2,6.5,1,1006030073,0,69,982265,205666,12a, ,103 002,10208, ,1006030072,3/7/2008,1, , ,17V1.1,0,253.6196324,3065.266859,785700,9,0,9215,9216,15,3375,15.32666683,18.28033447,2.953667641,16.03946686,1.099316529,240.5920029 +9216,MN,231,35,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,451 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,CRALE REALTY LLC,10016,60000,60000,0,50000,10000,0,0,0,0,2,1,5,0,5,50.08,200,50,200, ,3,N,4,2,787500,7605900,0,0,1920,1989,2001,SoHo-Cast Iron Historic District, ,5.99,0,5,6.5,1,1002310035,0,47,983875,201857,12a,Y,101N046,10105, ,0, ,1, , ,17V1.1,0,514.6239914,10493.07884,6818400,0,0,9216,9217,47,10575,12.30000019,16.12444496,3.824444771,12.38137136,0.551886094,581.9244537 +9217,MN,274,3,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,51 MONROE STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,ABACUS 53 MONROE LLC,2500,9910,0,9910,0,0,0,0,0,0,2,1,5,20,20,25,100,25,88, ,3,N,5,2,108000,387900,0,0,1900,1960,0, , ,3.96,3.44,0,6.5,1,1002740003,0,8,986012,198628,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,255.9766241,2574.655271,279900,16,0,9217,9218,11,2475,24.63366699,24.63366699,0,24.63366699,0,270.9703369 +9218,MN,720,65,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,436 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,436 WEST 23RD ST TENA,2452,7244,0,7244,0,0,0,0,0,0,2,1,5,5,5,24.83,98.75,25,60,E,3,N,5,2,157219,667180,7080,7080,1900,1986,0,Chelsea Historic District Extension, ,2.95,3,0,3,1,1007200065,0,93,983452,211370,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,255.1246271,2579.673175,509961,2,1,9218,9219,12,2700,9.369999886,12.90444374,3.534443855,9.786666552,0.980989647,117.4399986 +9219,MN,623,16,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,403 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,285 NYC LLC,1129,4111,700,3411,0,700,0,0,0,0,2,1,4,2,3,22.58,50,23,50,E,3,N,3,5,110143,274732,0,0,1910,1961,0,Greenwich Village Historic District, ,3.64,3.44,2,6.5,1,1006230016,0,77,982868,207453,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,142.9415373,1097.290759,164589,8,0,9219,9220,5,1125,22.60333252,22.60333252,0,22.60333252,0,113.0166626 +9220,MN,514,5,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,142 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D7,4,0, ,142 WOOSTER STREET LL,4300,17845,2855,14990,0,2855,0,0,0,0,2,1,5,10,12,43,100,43,96,E,2,N,5,2,294750,3700800,0,0,1920,1987,2004,SoHo-Cast Iron Historic District, ,4.15,0,5,6.5,1,1005140005,0,49,984407,203704,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,292.0616916,4463.19025,3406050,9,0,9220,9221,20,4500,22.59666634,25.80222321,3.20555687,22.9162776,0.857939272,458.325552 +9221,MN,514,31,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,127 GREENE STREET,M1-5A, , , , , , , , , ,N,S4,4,0, ,SILKALY M. WOLCHOK L.,2550,11268,2300,8968,0,2300,0,0,0,0,2,1,5,4,5,25.5,100.08,26,100,E,3,N,5,5,444354,603805,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.42,0,5,6.5,1,1005140031,0,49,984482,203631,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,258.3433391,2636.745834,159451,9,0,9221,9222,11,2475,22.59666634,22.59666634,0,22.59666634,0,248.5633297 +9222,MN,614,23,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,18 BANK STREET,R6, , , , , , , , , ,N,C5,2,0, ,WAVERLY DEVELOPMENTAS,1462,3461,550,2911,0,550,0,0,0,0,2,1,3,6,7,19.5,75,20,54,E,3,N,5,1,146594,454005,0,0,1915,1962,0,Greenwich Village Historic District, ,2.37,2.43,0,4.8,1,1006140023,0,77,983618,207741,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,194.1747204,1426.264435,307411,8,0,9222,9223,6,1350,26.80333328,28.88111115,2.077777863,27.14962959,0.77434209,162.8977776 +9223,MN,722,69,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,454 WEST 25 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,"HORT, ANDREW",1975,3432,0,3432,0,0,0,0,0,0,2,1,3,4,4,20,98.75,20,40, ,3,N,5,1,68637,291748,0,0,1900,0,0, , ,1.74,3,0,3,1,1007220069,0,93,983484,211985,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,239.7908296,2045.52386,223111,2,1,9223,9224,9,2025,10.68099976,11.89888859,1.217888832,10.94820955,0.414349253,98.53388596 +9224,MN,237,14,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,197 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,O6,5,0, ,"THE DUTCHESS 197-201,",5895,39500,39500,0,37000,2500,0,0,0,0,2,1,7,0,20,75,80,72,88,E,3,Y,5,2,448200,6268950,0,0,1900,1988,0, , ,6.7,6.02,6,6.5,1,1002370014,0,41,985099,201222,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,322.7473592,6273.820638,5820750,0,0,9224,9225,27,6075,26.23111153,31.40799904,5.176887512,28.40127571,2.038275708,766.834444 +9225,MN,205,7502,102,41,4002,2,1,10013,L006,5,15,6800,1,2, ,180 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,1291,4095,1493,2602,0,1493,0,0,0,0,2,1,7,4,5,25.83,50,25.83,50, ,0,N,0,5,107166,303256,0,0,2006,0,0, , ,3.17,6.02,6,6.5,1,1002057502,1811,41,984835,200862,12c, ,101N048,10105, ,1002050015,1/8/2008,1, , ,17V1.1,7,159.4668302,1438.162173,196090,0,0,9225,9226,6,1350,31.4109993,32.19889069,0.787891388,31.71114794,0.329091816,190.2668877 +9226,MN,163,11,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,30 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,TUNGDOT INC,3817,13400,4000,9400,0,4000,0,0,0,0,2,1,4,26,28,46.58,103,47,79, ,3,Y,5,2,258750,810900,0,0,1915,0,0, , ,3.51,3.44,6,6.5,1,1001630011,0,29,984679,199802,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,297.3023672,4748.068667,552150,14,0,9226,9227,21,4725,33.5909996,33.5909996,0,33.5909996,0,705.4109917 +9227,MN,447,8,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,102 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,300 EAST 6TH STREET L,1272,6440,1288,5152,0,1288,0,0,0,0,2,1,5,4,6,24.25,53.08,24,53, ,2,Y,3,5,113844,378894,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,5.06,4,0,4,1,1004470008,0,38,987470,204219,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,167.0226286,1514.145527,265050,1,0,9227,9228,7,1575,28.15800095,36.68111038,8.523109436,31.49215916,3.86530444,220.4451141 +9228,MN,478,23,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,186 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0,P,186 BOWERY LLC,2500,6375,3875,2500,0,2250,0,1625,0,0,2,2,4,2,4,25,100,25,90,E,3,N,5,2,225000,645300,0,0,1900,1969,2002, , ,2.55,3.44,6,6.5,1,1004780023,0,41,985854,201915,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,252.7024021,2651.094531,420300,0,0,9228,9229,11,2475,38.05444717,38.05444717,0,38.05444717,0,418.5989189 +9229,MN,587,46,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,53 BARROW STREET,R6,C2-6, , , , , , , , ,Y,C7,4,0, ,UNITED VILLAGE LLC,5714,28635,2827,25808,0,2827,0,0,0,0,2,1,6,48,51,73,77.92,73,78, ,3,Y,4,2,388800,4469400,0,0,1910,0,0,Greenwich Village Historic District, ,5.01,2.43,0,4.8,1,1005870046,0,67,983002,205910,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,310.6370507,5983.522294,4080600,9,0,9229,9230,28,6300,17.76222229,20.27022171,2.50799942,17.86343656,0.467114854,500.1762238 +9230,MN,831,33,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,270 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,M1,8,0,X,COLLEGIATE REFORM CHU,14835,13984,13984,0,13984,0,0,0,0,0,2,1,1,0,1,98.75,150,81,144, ,3,N,3,2,4590000,8255250,4590000,8255250,1954,1985,0, ,MARBLE COLLEGIATE REFORMED CHURCH,0.94,10,10,10,1,1008310033,0,76,987826,210939,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,518.7552468,16318.85146,3665250,11,0,9230,9231,72,16200,41.02666855,45.02222061,3.995552063,41.43328094,1.102367674,2983.196228 +9231,MN,714,16,104,83,3001,2,3,10011,E003,10,15,5600,1,4,1A,431 WEST 16 STREET,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,MCPJF W. 16TH LLC,6884,15200,15200,0,0,6900,0,1400,0,6900,2,1,2,0,1,74.83,92,75,92, ,2,N,5,0,317700,2441700,0,89820,1950,1999,2006, , ,2.21,7.52,6,10,1,1007140016,0,83,982664,209997,8b, ,103 041,10302,E-142,0, ,1, , ,17V1.1,0,342.4809256,7223.061906,2124000,7,0,9231,9232,31,6975,12.46399975,12.92488861,0.460888863,12.49258038,0.104075938,387.2699919 +9232,MN,429,7,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,22 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,K4,4,0, ,22 FIRST AVE LLC,2200,5228,2700,2528,0,0,0,0,0,2700,2,1,4,3,4,22,100,22,86,E,3,N,5,2,173250,563850,0,0,1900,1989,0, , ,2.38,4,0,4,1,1004290007,0,3002,987615,202881,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,247.5873786,2236.093161,390600,1,0,9232,9233,9,2025,28.19499969,31.44000053,3.245000839,28.55555534,1.019805377,256.9999981 +9233,MN,626,43,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,45 8 AVENUE,C1-6, , , , , , , , , ,N,C7,4,0,P,45-47-49 EIGHTH AVENU,1557,6555,1300,5255,0,1300,0,0,0,0,2,1,5,8,9,25.67,74,26,64, ,3,Y,5,2,182332,368958,0,159464,1900,1986,0,Greenwich Village Historic District, ,4.21,3.44,2,6.5,1,1006260043,0,77,983117,208322,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,189.5558449,1552.239022,186626,8,0,9233,9234,8,1800,17.68444443,17.68444443,0,17.68444443,0,141.4755554 +9234,MN,434,54,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,407 EAST 6 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,S4,4,0, ,"CLEAR DAVINCI, LLC",1945,4060,800,3260,0,800,0,0,0,0,2,1,4,4,5,21.42,90.83,21,52, ,3,N,5,5,42579,187194,0,0,1900,2014,0,East Village/Lower East Side Historic Di, ,2.09,4,0,4,1,1004340054,0,32,988249,203916,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,232.0009638,1995.012067,144615,1,0,9234,9235,9,2025,18.26222229,20.12299919,1.860776901,19.9162462,0.584785762,179.2462158 +9235,MN,454,45,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,197 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0,P,12TH & 1ST LLC,1505,4546,1505,3041,0,1505,0,0,0,0,2,1,4,4,5,23.25,64.75,23,65,E,2,N,3,5,28099,234098,0,0,1900,0,0, , ,3.02,4,0,4,1,1004540045,0,40,988759,205316,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,184.9634144,1700.676002,205999,12,0,9235,9236,7,1575,22.37666702,22.37666702,0,22.37666702,0,156.6366692 +9236,MN,720,82,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,470 WEST 23 STREET,R7B, , , ,C2-5, , , , , ,N,D7,4,0, ,470 WEST 23 ASSOCIATE,2370,13860,2375,11485,0,2375,0,0,0,0,2,2,6,18,20,24,98.75,24,98,E,3,N,3,2,176400,2561850,0,0,1920,1986,0,Chelsea Historic District Extension, ,5.85,3,0,3,1,1007200082,0,93,983101,211565,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,256.133523,2631.292479,2385450,2,1,9236,9237,12,2700,9.369999886,10.88111115,1.511111259,9.495925824,0.417649089,113.9511099 +9237,MN,886,62,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,175 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,D1,3,0,P,"LEXINGTON AVENUE 175,",3984,25284,0,25284,0,0,0,0,0,0,2,1,6,19,19,43.9,90.75,43,84, ,1,N,3,2,265500,1958850,0,1403946,1915,0,0, , ,6.35,6.02,6,6.5,1,1008860062,0,72,989531,210434,8d, ,104 019,10307, ,1008860062,1/6/2003,1, , ,17V1.1,0,285.1583027,4494.092494,1693350,10,0,9237,9238,20,4500,28.17889023,30.31888962,2.13999939,28.5249898,0.669606102,570.4997959 +9238,MN,390,37,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,107 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,229 E 7TH ST HDFC COR,2457,13553,2000,11553,0,2000,0,0,0,0,2,1,6,10,12,39.33,63,39.33,63, ,2,N,3,0,90000,594900,90000,431670,1900,0,0, , ,5.52,4,0,4,1,1003900037,0,2602,990072,203154,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,210.4124341,2657.454146,504900,12,1,9238,9239,12,2700,7.409999847,7.409999847,0,7.409999847,0,88.91999817 +9239,MN,637,63,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,354 WEST 11 STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,"354 WEST 11TH STREET,",2178,3840,0,2880,0,0,0,0,0,0,2,1,3,3,3,22,100.25,22,54, ,3,Y,5,1,63469,167749,0,0,1905,0,0, ,354 WEST 11TH STREET HOUSE,1.76,4,2,4,1,1006370063,0,75,981798,207139,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,244.0913204,2324.509563,104280,9,1,9239,9240,11,2475,10.60299969,15.17555523,4.572555542,11.5772725,1.51224587,127.3499975 +9240,MN,879,54,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,144 EAST 24 STREET,C6-4A,C6-3A, , , , , , , , ,Y,D1,3,0, ,144 EAST 24TH STREET,5135,38267,1500,36767,1500,0,0,0,0,0,2,1,9,33,34,52,98.75,52,82, ,3,N,5,2,589500,2578050,0,0,1930,0,0, , ,7.45,10,10,10,1,1008790054,0,68,988671,208819,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,316.1218456,5579.231635,1988550,11,0,9240,9241,24,5400,26.06111145,30.07777786,4.016666412,26.22847255,0.802635642,629.4833412 +9241,MN,527,6,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,12 BEDFORD STREET,R6, , , , , , , , , ,N,C0,2,0, ,WALDMAN STUART,1907,2280,0,2280,0,0,0,0,0,0,2,1,3,3,3,19.08,99.92,19.17,40, ,3,N,5,2,32309,115250,0,0,1899,0,0,Greenwich Village Historic District Exte, ,1.2,2.43,0,4.8,1,1005270006,0,67,983347,204909,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,239.9203074,1868.543508,82941,9,0,9241,9242,8,1800,15.38333321,17.44444466,2.06111145,15.89416647,0.884833819,127.1533318 +9242,MN,581,54,102,67,4006,2,3,10014,E024,6,15,6400,1,2,1B,16 CLARKSON STREET,M1-5, , , , , , , , , ,N,W3,8,0,C,DCAS/DEPARTMENT OF ED,30000,95116,95116,0,95116,0,0,0,0,0,2,2,5,0,1,150,200,150,200, ,2,N,5,1,2281500,4413600,2281500,4413600,1911,0,0, , ,3.17,0,5,6.5,1,1005810054,0,67,982544,204889,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,709.8423702,30825.7778,2132100,9,0,9242,9243,136,30600,15.38333321,21.47888947,6.095556259,16.693245,2.311547563,2270.28132 +9243,MN,589,44,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,5A CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,A9,1,0, ,"RUSH, HEATHER MCCONNE",4226,1500,0,1500,0,0,0,0,0,0,2,1,3,1,1,44.23,20.56,20,26, ,3,Y,6,0,18789,88533,0,0,1900,1987,0,Greenwich Village Historic District Exte, ,0.35,3.44,0,6.5,1,1005890044,0,67,983655,205531,12a, ,103 005,10208, ,1005890043,1/5/1994,1, , ,17V1.1,0,129.9301285,908.7474649,69744,9,0,9243,9244,3,675,15.87222195,15.87222195,0,15.87222195,0,47.61666584 +9244,MN,875,77,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,9 GRAMERCY PARK SOUTH,R7B, , , , , , , , ,LH-1,N,D3,3,0,P,9 GRAMERCY PARK SOUTH,2454,7760,0,7760,0,0,0,0,0,0,2,1,5,10,10,26.67,92,27,86,E,3,N,5,2,210018,747419,0,0,1920,1988,0,Gramercy Park Historic District, ,3.16,3,0,3,1,1008750077,0,50,987782,208110,8d,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,250.2461601,2655.098194,537401,5,0,9244,9245,12,2700,30.81999969,33.41888809,2.598888397,31.03657373,0.718294807,372.4388847 +9245,MN,696,20,104,99,1037,2,3,10011,E003,10,15,5500,1,4,2B,513 WEST 24 STREET,M1-5, , , , , ,WCH, , , ,N,L9,6,0,P,513 WEST 24TH ASSOCIA,14812,27066,27066,0,10300,0,0,16766,0,0,2,2,3,0,2,150,98.75,150,99, ,3,N,5,2,437850,3740400,0,0,1930,1986,0, , ,1.83,0,5,6.5,1,1006960020,0,99,982983,212149,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,500.2836069,14991.53324,3302550,2,1,9245,9246,67,15075,8.416999817,8.633000374,0.216000557,8.623327896,0.044671339,577.762969 +9246,MN,492,8,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,204 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,O5,5,0, ,204-210 ELIZABETH STR,4875,14359,14359,0,7559,4000,0,0,0,2800,2,1,4,0,3,50.75,97.92,51,94, ,3,N,5,2,549000,1237950,0,0,1922,0,0, , ,2.95,6.02,6,6.5,1,1004920008,0,43,985875,202345,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,300.3166077,5023.382186,688950,0,0,9246,9247,22,4950,39.76666641,44.17111206,4.404445648,39.96686849,0.917441163,879.2711067 +9247,MN,171,5,101,31,1009,2,1,10013,L001,5,15,7700,1,1,3A,358 BROADWAY,C6-4A, , , , , , , , , ,N,L8,6,0, ,FRANKLIN BROADWAY HOL,9555,48180,20880,27300,8595,12285,0,0,0,0,2,1,5,12,20,28,175,28,175, ,0,Y,5,2,603000,5162850,0,0,1900,0,0, , ,5.04,10,10,10,1,1001710005,0,31,983405,200511,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,580.4538844,9749.809546,4559850,14,0,9247,9248,42,9450,22.69444466,31.34555626,8.651111603,26.83431217,1.177962465,1127.041111 +9248,MN,304,9,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,111 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,KARAMAL REALTY CORP,2180,6992,3496,3496,1748,1748,0,0,0,0,2,1,4,2,5,21,103.83,21,92,E,3,Y,5,2,231750,951300,0,0,1900,1987,2009, , ,3.21,3.44,6,6.5,1,1003040009,0,16,985690,200773,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,261.6953916,2480.59727,719550,0,0,9248,9249,10,2250,34.17111206,36.56689072,2.395778656,35.70740013,0.561797291,357.0740013 +9249,MN,912,21,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,237 EAST 31 STREET,R7B, , , , , , , , , ,N,O8,5,0, ,KIPS BAY HOLDING CORP,1975,8740,6190,2550,6190,0,0,0,0,0,2,1,6,4,5,20,98.75,20,49.75, ,3,N,5,1,206100,1066950,0,0,1920,1987,2009, , ,4.43,3,0,3,1,1009120021,0,70,990360,210123,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,242.1889363,2038.257422,860850,10,0,9249,9250,9,2025,26.45000076,29.45222282,3.002222061,26.78358099,0.943507368,241.0522289 +9250,MN,246,13,103,6,6000,1,1,10002,E015,7,14,7800,1,3,1B,285 SOUTH STREET,C6-4, , , , , , , , , ,N,Y9,7,0,C,DEPT OF ENVIRONMENTAL,1975,1974,1974,0,0,0,0,0,0,1974,2,1,1,0,1,48,41,40,48, ,1,Y,3,2,222750,411750,222750,411750,2012,0,0, , ,1,10,10,10,1,1002460013,0,6,987902,198168,12d, ,101N055,10106, ,0, ,1,1,1,17V1.1,0,183.3139487,2083.994002,189000,16,1,9250,9251,8,1800,8.018000603,8.155222893,0.13722229,8.051028371,0.057262829,64.40822697 +9251,MN,348,73,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,172 DELANCEY STREET,R8A, , , , , , , , , ,N,C6,2,0,P,172 DELANCEY ST,2500,12180,900,11280,0,900,0,0,0,0,2,1,6,12,14,25,100,25,87, ,3,N,5,2,180000,699750,180000,421317,1920,1986,0, , ,4.87,6,0,6,1,1003480073,0,1402,988376,200854,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,256.1939116,2550.696744,519750,13,0,9251,9252,11,2475,23.08555603,23.08555603,0,23.08555603,0,253.9411163 +9252,MN,501,34,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,147 SPRING STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,147 SPRING STREET ASS,1875,8575,8575,0,6860,1715,0,0,0,0,2,1,5,2,6,25,75,25,75,E,3,N,5,2,675000,2228400,0,0,1900,1985,0,SoHo-Cast Iron Historic District, ,4.57,0,5,6.5,1,1005010034,0,49,983897,203208,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,203.4019347,1918.210385,1553400,0,0,9252,9253,9,2025,15.00755596,15.00755596,0,15.00755596,0,135.0680037 +9253,MN,404,41,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,329 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,MARUSIN WAREHOUSE COR,2369,7100,0,7100,0,0,0,0,0,0,2,1,5,10,10,25,94.75,25,60,E,3,N,5,2,45497,158046,0,0,1910,1984,2013,East 10th Street Historic District, ,3,4,0,4,1,1004040041,0,34,989649,204276,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,245.2024058,2440.01978,112549,12,0,9253,9254,10,2250,12.53199959,15.41777802,2.885778427,13.37913303,1.19588142,133.7913303 +9254,MN,775,22,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,219 WEST 25 STREET,R8A,C6-3X, , , , , , , , ,Y,D4,3,0,P,225 25 HOUSING CORP,12442,62586,0,62586,0,0,0,0,0,0,2,1,6,68,68,126,98.75,126,83, ,3,N,5,2,976500,5310000,77880,77880,1939,0,0, , ,5.03,6,0,6,1,1007750022,0,91,985454,211074,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,451.7125862,12616.84802,4333500,2,0,9254,9255,54,12150,26.32299995,36.76889038,10.44589043,27.44102256,2.429164722,1481.815218 +9255,MN,644,64,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,69 GANSEVOORT STREET,M1-5, , , , , , , , , ,N,K2,5,0,P,DELSHAH GANSEVOORT 69,2020,3007,3007,0,0,3007,0,0,0,0,2,1,2,0,1,25.25,80,25.24,75, ,3,N,5,0,407700,769050,0,0,1940,2015,2015,Gansevoort Market Historic District, ,1.49,0,5,6.5,1,1006440064,0,79,982155,208732,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,210.7762846,2006.101878,361350,8,1,9255,9256,12,2700,13.47799969,14.24222279,0.764223099,13.56798124,0.221067882,162.8157749 +9256,MN,745,32,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1A,303 WEST 21 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,GALILEO ASSOCS. LLC,2825,12990,1500,11490,0,1500,0,0,0,0,2,1,5,13,14,28.25,100,28,91, ,2,N,3,2,68850,1963800,0,0,1900,1988,1999, , ,4.6,4,2,4,1,1007450032,0,89,984344,210425,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,266.5373752,3157.578959,1894950,7,0,9256,9257,13,2925,20.43499947,20.69666672,0.261667252,20.45512772,0.069726304,265.9166603 +9257,MN,588,13,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,32 GROVE STREET,R6, , , , , , , , , ,N,B1,1,0, ,"ROBB, RICHARD",2100,3780,0,2688,0,0,0,0,0,0,2,1,3,2,2,21,100,21,38,E,3,N,5,1,31377,174182,0,0,1899,0,0,Greenwich Village Historic District, ,1.8,2.43,0,4.8,1,1005880013,0,73,982948,206134,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,249.0806038,2174.212207,142805,9,0,9257,9258,10,2250,18.94666672,21.64922142,2.702554703,19.37003326,0.801210586,193.7003326 +9258,MN,575,34,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,40 WEST 12 STREET,R6, , , , , , , , , ,N,C6,2,0, ,12 STREET OWNERS CORP,2160,4484,0,4484,0,0,0,0,0,0,2,1,4,4,4,20.92,103.25,21,54, ,3,N,5,1,56076,410536,0,0,1900,2008,0,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1005750034,0,63,985296,207097,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,255.0366651,2239.576308,354460,8,0,9258,9259,10,2250,24.42399979,28.46222305,4.038223267,25.36357784,1.501121581,253.6357784 +9259,MN,442,14,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,37 EAST 1 STREET,R8B, , , , , ,TA, , , ,N,C7,4,0, ,37 EAST 1ST STREET TR,2200,6855,975,5880,0,975,0,0,0,0,2,1,5,10,12,25.25,89.33,25,55, ,3,Y,5,1,112500,463050,0,0,1900,0,0, , ,3.12,4,0,4,1,1004420014,0,3602,986943,202981,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,241.4545813,2474.67377,350550,1,0,9259,9260,10,2250,36.32099915,38.04999924,1.729000092,36.68125496,0.590415814,366.8125496 +9260,MN,912,29,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,563 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0, ,MARCHI REALTY CP,2418,8568,3140,5428,1085,2055,0,0,0,0,2,2,4,18,21,39,62,21,61, ,0,N,3,2,180000,1651050,0,0,1900,0,0, , ,3.54,7.52,2,7.5,1,1009120029,0,70,990501,210009,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,210.0942677,2595.413529,1471050,10,0,9260,9261,12,2700,26.45000076,26.88222313,0.432222366,26.48601929,0.119459951,317.8322315 +9261,MN,443,33,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,25 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,M9,8,0,P,INTERFAITH LEAGUE OFD,2600,14700,14700,0,0,2500,0,0,0,12200,2,1,6,0,1,25,100,25,94, ,3,N,5,2,324000,832500,162000,416250,1920,1966,0, , ,5.65,4,0,4,1,1004430033,0,3602,987439,202969,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,256.7890908,2622.86985,508500,1,0,9261,9262,12,2700,31.19000053,34.33111191,3.141111374,31.48084307,0.864740252,377.7701168 +9262,MN,901,52,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,210 EAST 21 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,210 EAST 21 ST TENANT,3680,14673,2500,12173,0,2500,0,0,0,0,2,1,6,29,32,40,92,40,77, ,3,N,5,2,264150,2008800,16520,16520,1910,1986,0, , ,3.99,4,0,4,1,1009010052,0,64,988804,207820,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,269.174632,3766.435143,1744650,5,0,9262,9263,16,3600,19.86555672,19.86555672,0,19.86555672,0,317.8489075 +9263,MN,896,16,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,233 EAST 14 STREET,C1-6A, , , , , , , , , ,N,S4,4,0,P,BERLIZA CORPORATION,2685,9517,1750,7767,0,1750,0,0,0,0,2,1,5,4,5,26,103.25,26,90,E,3,N,5,5,330310,774818,0,0,1927,1982,2007, , ,3.54,4,2,4,1,1008960016,0,48,988233,206310,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,269.2227547,2970.24119,444508,12,0,9263,9264,13,2925,29.86800003,30.49666595,0.628665924,29.9540684,0.180758866,389.4028893 +9264,MN,444,22,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,66 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0,C,HOUSING PRESERVATION,3794,14715,2453,12262,0,2453,0,0,0,0,2,1,6,24,27,37.5,101.17,38,86, ,3,N,5,2,212400,1440900,212400,1440900,1910,0,0, , ,3.88,4,0,4,1,1004440022,0,3602,987309,203396,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,283.858835,3871.096651,1228500,1,0,9264,9265,17,3825,33.39555359,35.5288887,2.133335114,33.52104389,0.501961203,569.8577461 +9265,MN,803,4,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,307 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0,P,COMET REALTY CORP,10225,197612,197612,0,140000,11800,0,45812,0,0,2,2,23,0,198,41.5,76.92,41.5,76.92, ,0,Y,4,2,1575000,14577300,0,0,1926,0,0, , ,19.33,0,10,10,1,1008030004,0,95,986144,211348,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,511.9572395,10545.8819,13002300,2,0,9265,9266,45,10125,34.24333191,37.16799927,2.924667358,36.96769316,0.671663452,1663.546192 +9266,MN,478,7501,102,41,1003,2,1,10013,L006,5,15,6800,1,2, ,354 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,RM,4,0, ,OWNER / AGENT,17422,77139,20430,56709,3531,16899,0,0,0,0,2,2,6,37,46,101.92,162.17,0,0, ,0,Y,5,5,1482747,7351647,14160,14160,1900,0,0, , ,4.43,6.02,6,6.5,1,1004787501,789,41,985666,201627,12c, ,101N077,10206, ,1004780001,2/8/1992,1, , ,17V1.1,7,557.8361565,17785.73384,5868900,0,0,9266,9267,79,17775,35.62666702,38.34444427,2.717777252,35.79516631,0.615690501,2827.818138 +9267,MN,343,60,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,67 PITT STREET,R8A, , , , , , , , , ,N,C4,2,0, ,"67 PITT REALTY, LLC",2500,9570,0,9570,0,0,0,0,0,0,2,1,5,20,20,25,100,25,82, ,3,N,5,0,270000,1060200,0,0,1920,0,0, , ,3.83,6,0,6,1,1003430060,0,12,988966,200877,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,257.8109829,2583.320951,790200,13,0,9267,9268,11,2475,19.3544445,19.71888924,0.364444733,19.38757584,0.104770494,213.2633343 +9268,MN,507,27,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,274 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0,P,"YSHO HOLDINGS, INC.",2238,6420,6420,0,2140,2140,0,0,0,2140,2,1,3,0,3,25,89.5,25,90, ,3,Y,5,2,211500,765450,0,0,1900,0,0, , ,2.87,3.44,6,6.5,1,1005070027,0,43,986152,202953,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,242.8506666,2387.997928,553950,9,0,9268,9269,11,2475,44.71333313,46.03110886,1.317775726,44.83313092,0.378833885,493.1644402 +9269,MN,285,11,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,199 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0,P,CHANWAY REALTY CO INC,2175,8360,0,8360,0,0,0,0,0,0,2,1,5,21,21,25,87.5,25,76, ,3,N,5,1,148500,775350,0,0,1900,1988,0, , ,3.84,3.44,0,6.5,1,1002850011,0,6,987688,199330,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,227.2086546,2230.932915,626850,13,0,9269,9270,11,2475,23.9640007,24.69000053,0.725999832,24.08913196,0.265931816,264.9804516 +9270,MN,310,19,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,353 GRAND STREET,C6-2, , , , , , , , , ,N,S9,4,0, ,CBS REALTY INC,1121,2695,905,1790,0,905,0,0,0,0,2,1,3,2,4,22.42,50,22,50, ,3,N,5,5,106015,154428,0,0,1910,1988,0, , ,2.4,6.02,6,6.5,1,1003100019,0,16,987168,200371,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,151.1490249,1186.542788,48413,13,0,9270,9271,6,1350,34.98799896,36.85666656,1.868667603,35.29944356,0.696411298,211.7966614 +9271,MN,38,17,101,7,1012,2,1,10005,E004,1,15,7700,1,1, ,88 PINE STREET,C6-9, , , , , ,LM, , , ,N,O4,5,0,P,ORIENT OVERSEAS ASSOC,27600,566858,566858,0,566858,0,0,0,0,0,2,1,32,0,23,251.33,114.33,211,93, ,1,Y,3,2,16200000,60864750,0,0,1973,2007,0, , ,20.54,10,15,15,1,1000380017,0,7,982540,196368,12b, ,101S007,10101, ,0, ,1,1,1,17V1.1,0,730.9478757,28946.57324,44664800,4,1,9271,9272,131,29475,6.161110878,7.722222328,1.56111145,6.873282505,0.374267611,900.4000082 +9272,MN,434,17,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,106 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,VILLAGE REALTY PARTNE,2271,8870,0,8870,0,0,0,0,0,0,2,1,5,12,12,25,90.83,25,70, ,3,N,5,2,148950,963000,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,3.91,4,0,4,1,1004340017,0,32,988425,203927,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,237.5883671,2378.997195,814050,12,0,9272,9273,10,2250,18.26222229,21.09555435,2.833332062,18.87444439,0.985203959,188.7444439 +9273,MN,614,66,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,211 WEST 11 STREET,R6, , , , , , , , , ,N,B3,1,0, ,MORGAN GUARANTY TRUST,1600,3520,0,2640,0,0,0,0,0,0,2,1,2,2,2,20,80,20,44, ,3,N,5,1,46498,175425,0,0,1899,0,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006140066,0,77,983765,207651,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,208.506539,1761.18067,128927,8,0,9273,9274,10,2250,25.32666588,25.32666588,0,25.32666588,0,253.2666588 +9274,MN,847,1,105,52,2002,2,2,10003,E014,13,15,5700,1,5,1O,109 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O6,5,0,P,BJW REALTY LLC,19600,214700,214700,0,189151,25549,0,0,0,0,2,1,13,0,16,100,200,100,197, ,3,Y,3,2,11250000,42429600,0,0,1905,1983,2013,Ladies' Mile Historic District, ,10.95,10,10,10,1,1008470001,0,52,986686,208328,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,631.9239275,21926.8285,31179600,7,0,9274,9275,97,21825,39.36555481,40.17300034,0.807445526,39.39109547,0.125553912,3820.93626 +9275,MN,828,76,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,52 WEST 27 STREET,C6-4X, , , , , , , , , ,N,O5,5,0, ,MARIV REALTY CO,1554,4896,3198,1698,1698,1500,0,0,0,0,2,1,4,2,4,21,74,21,73,E,2,N,5,2,216000,494100,0,0,1915,0,0, , ,3.15,10,10,10,1,1008280076,0,58,986836,210737,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,177.4309935,1422.221656,278100,2,0,9275,9276,6,1350,43.66266632,44.0320015,0.369335175,43.92029762,0.159204044,263.5217857 +9276,MN,857,62,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,72 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,SHARIM INC,4670,58500,58500,0,54000,4500,0,0,0,0,2,1,12,0,13,49.17,95,49.17,86.5, ,0,N,5,5,1606500,4723650,0,0,1911,1955,2014, , ,12.53,10,10,10,1,1008570062,0,56,988091,210288,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,300.6278396,4984.991017,3117150,11,0,9276,9277,21,4725,35.94333267,36.04399872,0.100666046,36.0392051,0.021437726,756.823307 +9277,MN,460,7502,103,38,3000,1,2,10003,E028,9,14,6500,3,3, ,210 EAST 5 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,7680,27445,6200,21245,0,0,0,0,0,6200,2,1,7,4,5,80,92.33,0,0, ,0,N,0,5,545653,3104656,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,3.57,4,0,4,1,1004607502,1355,38,986836,204238,12c, ,102 009,10205, ,1004600016,8/4/2004,1, , ,17V1.1,7,359.5279928,7990.490366,2559000,1,0,9277,9278,35,7875,35.65444565,44.17555618,8.521110535,36.42062966,2.027877459,1274.722038 +9278,MN,230,9,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,329 CANAL STREET,M1-5B, , , , , , , , , ,N,D5,3,0, ,6 GREENE REALTY OWNER,5873,33374,6700,26674,3100,3600,0,0,0,0,2,1,6,12,16,42,101.08,42,101, ,0,Y,3,2,393750,2710800,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,5.68,0,5,6.5,1,1002300009,0,47,983422,201770,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,428.961227,6206.997407,2317050,0,1,9278,9279,25,5625,11.39777756,12.13333321,0.735555649,11.45048866,0.180062549,286.2622166 +9279,MN,849,50,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,42 EAST 21 STREET,M1-5M, , , , , , , , , ,N,O5,5,0,P,CGMT HALL REAL ESTATE,2300,6675,4300,2375,1225,3075,0,0,0,0,2,1,4,2,5,25,92,25,75,E,3,N,5,1,225000,806850,0,0,1920,1986,0,Ladies' Mile Historic District, ,2.9,0,5,6.5,1,1008490050,0,52,987481,208554,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,246.380629,2475.907459,581850,5,0,9279,9280,11,2475,34.69888687,35.06111145,0.362224579,34.73181638,0.104132245,382.0499802 +9280,MN,842,33,105,52,2006,2,2,10003,L003,13,15,5700,1,5,1B,20 EAST 15 STREET,C6-2A, , , , , , , , , ,N,O6,5,0, ,SQUARE WEST LLC C/O N,2581,19846,19846,0,16646,3200,0,0,0,0,2,1,8,0,13,25,103.25,25,103, ,3,N,5,2,450000,1660950,0,0,1910,1989,0, , ,7.69,6.02,6,6.5,1,1008420033,0,52,986458,207417,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,265.7282729,2609.908956,1210950,7,0,9280,9281,10,2250,36.55699921,39.03222275,2.475223541,36.80452156,0.742567062,368.0452156 +9281,MN,162,133,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,1 DOYERS STREET,C6-1G, , , , , ,TA, , , ,N,S3,4,0, ,"SAPPHIRE ESTATE, LTD.",626,2870,1000,1870,0,1000,0,0,0,0,2,1,4,3,4,35.5,20.42,35,20, ,3,Y,5,5,190816,330999,0,0,1915,0,0, , ,4.58,3.44,6,6.5,1,1001620133,0,29,984839,199477,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,106.5947665,659.2898211,140183,16,0,9281,9282,3,675,37.8030014,39.2444458,1.441444397,38.28348287,0.679503405,114.8504486 +9282,MN,910,54,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,214 EAST 30 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,ARLENE GALLETA RAVIIR,1852,3552,0,2640,0,0,0,0,0,0,2,1,3,2,2,18.75,98.75,18.75,48, ,3,N,5,1,92386,153446,0,0,1901,0,0, , ,1.92,3,0,3,1,1009100054,0,70,989979,209859,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,235.7885507,1793.169106,61060,10,0,9282,9283,8,1800,34.37666702,39.04000092,4.663333893,35.65661144,1.929078286,285.2528915 +9283,MN,717,67,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,446 WEST 20 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"PHILLIPS, C. WILLIAM",1533,3392,0,3392,0,0,0,0,0,0,2,1,4,2,2,16.67,92,16.67,53, ,2,N,5,2,60256,151855,0,0,1901,1999,0,Chelsea Historic District, ,2.21,3,0,3,1,1007170067,0,89,982913,210803,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,223.7640595,1635.402085,91599,7,1,9283,9284,8,1800,9.621110916,11.03555584,1.414444923,9.797916532,0.467783689,78.38333225 +9284,MN,37,1,101,7,1015,2,1,10005,E004,1,15,7700,1,1, ,120 WALL STREET,C6-9, , , , , ,LM, , , ,N,O4,5,0,X,120 WALL CO,23475,582412,582412,0,558708,16051,0,7653,0,0,2,1,33,0,69,103.87,202.87,202,118, ,3,Y,3,2,11047500,50260050,11047500,50260050,1929,0,0, , ,24.81,10,15,15,1,1000370001,0,7,982598,196040,12b, ,101S007,10101, ,1000371002,1/29/2013,1,1,1,17V1.1,0,672.4993009,23436.61603,39212600,17,1,9284,9285,106,23850,5.993332863,5.993332863,0,5.993332863,0,635.2932835 +9285,MN,911,12,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,217 EAST 30 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"SAMTUR, SUSAN J",1407,4020,0,4020,0,0,0,0,0,0,2,2,3,6,6,14.25,98.75,14,56, ,3,N,5,5,102842,396809,0,0,1926,1987,0, , ,2.86,3,0,3,1,1009110012,0,70,990066,209990,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,227.5248186,1434.068714,293967,10,0,9285,9286,6,1350,29.22888947,29.97299957,0.744110107,29.72496287,0.350776869,178.3497772 +9286,MN,792,24,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,115 WEST 16 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,115 ASSOCIATES LLC,9200,39264,0,39264,0,0,0,0,0,0,2,1,6,41,41,100,92,100,79, ,3,N,5,2,720000,3167100,0,0,1920,0,0, , ,4.27,6,0,6,1,1007920024,0,81,985167,208610,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,385.4014041,9272.130768,2447100,7,0,9286,9287,41,9225,27.66555595,31.88666725,4.221111298,27.79556135,0.669090169,1139.618015 +9287,MN,574,62,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,35 WEST 10 STREET,R6, , , , , , , , , ,N,B9,1,0,P,"GINA S. NEWHOUSE, AS",2069,3612,0,2646,0,0,0,0,0,0,2,1,3,2,2,21.83,94.75,21.83,40, ,3,N,5,1,77002,307104,0,0,1899,1993,0,Greenwich Village Historic District, ,1.75,2.43,0,4.8,1,1005740062,0,63,985053,206822,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,242.8092938,2248.184917,230102,8,0,9287,9288,11,2475,20.66300011,25.94666672,5.283666611,21.95296964,1.832949866,241.482666 +9288,MN,616,7501,102,77,2001,2,3,10014,Q018,6,15,6100,3,2, ,2 HORATIO STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,"AVIRAM, KAREN",16225,10000,10000,0,0,10000,0,0,0,0,2,1,17,241,242,151,110,0,0, ,0,N,5,5,2180250,21649950,205924,205924,1962,1929,0,Greenwich Village Historic District, ,0.62,3.44,2,6.5,1,1006167501,445,77,983498,208349,8b, ,103 035,10209, ,1006160020,11/30/1987,1, , ,17V1.1,7,569.5589443,16829.48516,19469700,8,0,9288,9289,73,16425,21.81777763,25.31333351,3.495555878,22.29898009,0.930287866,1627.825546 +9289,MN,520,54,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,43 KING STREET,R6, , , , , , , , , ,N,A7,1,0, ,E. VILL CORPORATION,2502,4989,0,4989,0,0,0,0,0,0,2,1,4,1,1,25,100.08,22,40, ,2,N,5,5,73327,234004,0,0,1930,2015,2015,Charlton-King-Vandam Historic District, ,1.99,2.43,0,4.8,1,1005200054,0,37,982981,204516,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,254.0505006,2491.776027,160677,9,0,9289,9290,10,2250,17.63100052,19.84666634,2.215665817,18.46625576,0.978671191,184.6625576 +9290,MN,387,127,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,636 EAST 6 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,CHURCH OF GOD OF EAST,2037,4790,4790,0,0,0,0,0,0,4790,2,1,3,0,1,21,97,21,90,E,3,Y,5,2,91800,229050,91800,229050,1920,0,0, , ,2.35,4,0,4,1,1003870127,0,2601,989704,202938,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,245.7350268,2219.069126,137250,1,1,9290,9291,11,2475,10.26099968,11.40222168,1.141222,10.3779896,0.326559685,114.1578856 +9291,MN,449,11,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,44 ST MARKS PLACE,R8B, , , , , , , , , ,N,S4,4,0, ,Z TO MD LLC,2538,6552,1310,5242,0,1310,0,0,0,0,2,1,5,4,5,25,101.5,25,81,E,3,N,5,5,277025,374319,0,0,1900,1986,0, , ,2.58,4,0,4,1,1004490011,0,38,987790,204562,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,255.9045448,2601.16882,97294,12,0,9291,9292,10,2250,26.66699982,29.56677818,2.899778366,27.28046646,1.065519332,272.8046646 +9292,MN,612,60,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,49 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,"LANYARD REALTY CO.,L.",3000,10204,2000,8204,0,2000,0,0,0,0,2,1,5,8,11,42,77.75,21,65, ,3,Y,5,2,495000,1858500,0,0,1900,0,0,Greenwich Village Historic District, ,3.4,3.44,2,6.5,1,1006120060,0,71,984028,207275,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,243.0293153,3015.648497,1363500,8,0,9292,9293,13,2925,21.78555489,23.10777855,1.322223663,21.96145248,0.418441269,285.4988823 +9293,MN,843,3,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,75 5 AVENUE,C6-4M, , , , , , , , , ,N,D6,4,0, ,SGRC 77,6150,63255,4450,58805,0,4450,0,0,0,0,2,1,19,72,74,61.5,100,62,92, ,3,N,5,2,1683000,8022600,0,0,1984,0,0,Ladies' Mile Historic District, ,10.29,10,10,10,1,1008430003,0,52,986288,207712,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,338.9249968,6758.269131,6339600,7,0,9293,9294,30,6750,37.06999969,38.87333298,1.803333282,37.27581444,0.540845116,1118.274433 +9294,MN,611,34,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,167 WEST 10 STREET,C2-6, , , , , , , , , ,N,K4,4,0, ,131 & 137 7TH AVE. SO,652,1306,654,652,0,654,0,0,0,0,2,1,3,1,2,25,43.58,25,43.58, ,0,Y,3,5,77400,460800,0,0,1905,0,0,Greenwich Village Historic District, ,2,3.44,2,6.5,1,1006110034,0,73,983676,206873,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,120.2284018,658.4847933,383400,8,0,9294,9295,2,450,21.29555511,21.29555511,0,21.29555511,0,42.59111023 +9295,MN,633,49,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,308 WEST 11 STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,TERRANO ANTHONY E,1696,3600,0,2700,0,0,0,0,0,0,2,1,3,1,1,20.33,83.42,20.33,42, ,3,Y,5,1,51719,175645,0,0,1910,0,0,Greenwich Village Historic District, ,2.12,3.44,2,6.5,1,1006330049,0,75,982465,207272,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,211.3430406,1727.124552,123926,8,0,9295,9296,8,1800,19.46666718,22.93333244,3.466665268,20.46222234,1.19014072,163.6977787 +9296,MN,582,41,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,63 CARMINE STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,"SENDOWSKI, JANUSZ",2235,10000,1200,8800,0,1200,0,0,0,0,2,1,5,16,17,25,95,25,78, ,3,N,4,2,198900,1767150,0,0,1900,0,0, , ,4.47,3.44,2,6.5,1,1005820041,0,67,982974,205196,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,240.5832664,2408.213833,1568250,9,0,9296,9297,10,2250,15.38333321,15.38333321,0,15.38333321,0,153.8333321 +9297,MN,625,32,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,44 JANE STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,JANE ST. VILLAGE ASSO,1276,4240,0,3120,0,0,0,0,0,0,2,1,2,2,2,22.58,65.17,22.5,40,E,3,Y,5,1,40007,132931,0,0,1899,0,0,Greenwich Village Historic District, ,3.32,3.44,2,6.5,1,1006250032,0,77,982922,208147,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,166.674639,1302.16706,92924,8,0,9297,9298,4,900,17.76333427,17.76333427,0,17.76333427,0,71.0533371 +9298,MN,614,12,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,40 BANK STREET,R6, , , , , , , , , ,N,A9,1,0, ,CAROLINE SIDNAM,1820,4320,0,3240,0,0,0,0,0,0,2,1,2,1,1,20,91,20,42,E,3,Y,5,1,62998,209018,0,0,1899,0,0,Greenwich Village Historic District, ,2.37,2.43,0,4.8,1,1006140012,0,77,983406,207692,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,228.2199903,1877.421183,146020,8,0,9298,9299,9,2025,26.80333328,28.62999916,1.826665878,27.00629616,0.574065702,243.0566654 +9299,MN,488,6,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,64 THOMPSON STREET,M1-5B,R7-2,M1-5A, , , , , , , ,Y,C1,2,0, ,THOMPSON STREET ASSOC,4794,16749,0,16749,0,0,0,0,0,0,2,1,5,30,30,51.08,94,51.08,75, ,3,N,5,0,585000,1871550,0,0,1900,1971,0, , ,3.49,0,5,6.5,1,1004880006,0,47,983422,203083,12a, ,101N069,10206, ,0, ,1,1, ,17V1.1,0,291.448823,4735.191857,1286550,0,1,9299,9300,19,4275,9.686666489,11.81999969,2.133333206,9.97093552,0.673551454,189.4477749 +9300,MN,631,41,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,529 HUDSON STREET,C1-6, , , , , , , , , ,N,K4,4,0,P,GBR RRJ LIMITED LIABI,1522,4014,2538,1476,0,2538,0,0,0,0,2,1,3,2,4,21,79,21,39,E,0,Y,5,5,432000,1325250,0,0,1910,1986,0,Greenwich Village Historic District, ,2.64,3.44,2,6.5,1,1006310041,0,75,982443,206764,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,199.6205144,1689.663294,893250,9,0,9300,9301,8,1800,20.16444397,20.16444397,0,20.16444397,0,161.3155518 +9301,MN,450,20,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,332 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,E. 9TH ST. HOLDINGS L,2348,9546,1750,7796,0,1750,0,0,0,0,2,1,5,20,22,25,93.92,25,76, ,3,N,5,1,250650,815850,0,0,1920,0,0, , ,4.07,4,0,4,1,1004500020,0,38,988088,204688,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,245.9145343,2473.889964,565200,12,0,9301,9302,12,2700,25.4810009,27.92911148,2.44811058,25.93338029,0.819274448,311.2005634 +9302,MN,543,60,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,125 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,119 W. 3RD ST. REALTY,1315,5260,1315,3945,0,1315,0,0,0,0,2,1,4,4,5,20,65.75,20,66, ,3,N,3,5,201822,422246,0,0,1900,1987,0,South Village Historic District, ,4,3.44,0,6.5,1,1005430060,0,65,984187,205453,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,178.5497632,1451.447745,220424,9,0,9302,9303,6,1350,18.49900055,18.49900055,0,18.49900055,0,110.9940033 +9303,MN,905,24,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,241 EAST 24 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"HBS 2013, LLC",2403,7410,1800,5610,0,1800,0,0,0,0,2,1,5,16,18,24.33,98.75,24,59, ,3,N,5,2,90000,757800,0,0,1920,1988,0, , ,3.08,4,0,4,1,1009050024,0,66,989574,208497,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,257.338677,2640.730752,667800,11,0,9303,9304,12,2700,26.78800011,29.9822216,3.194221497,27.25137043,1.049821995,327.0164452 +9304,MN,293,28,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,88 DIVISION STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,BRIDGE REALTY COMPANY,1763,10038,1900,8138,0,1900,0,0,0,0,2,1,6,15,17,24.58,86.5,24,86, ,1,Y,3,2,141300,1020150,0,0,1900,1987,0, , ,5.69,3.44,6,6.5,1,1002930028,0,16,985983,199575,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,222.3969962,1937.058708,878850,16,0,9304,9305,7,1575,38.23899841,41.2555542,3.016555786,38.68645859,1.049587882,270.8052101 +9305,MN,874,1,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,225 PARK AVENUE SOUTH,R8B,C6-4A, , , , , , , , ,Y,O6,5,0, ,225 FOURTH LLC,26156,455451,455451,0,181241,20210,0,254000,0,0,2,1,19,0,7,102,218,102,218,G,3,Y,3,2,24615000,74290950,0,0,1910,2000,0, , ,17.41,4,0,4,1,1008740001,0,50,987603,207826,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,827.8465874,27729.03265,49676000,5,0,9305,9306,123,27675,33.91699982,37.9711113,4.054111481,34.05877397,0.661959989,4189.229198 +9306,MN,768,79,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,278 WEST 19 STREET,C1-6A,C6-2A, , , , , , , , ,Y,C1,2,0, ,"FAMILY OF LOUIS, LLC",1405,5445,0,5445,0,0,0,0,0,0,2,1,5,7,7,20,70.25,20,58, ,2,N,5,2,39531,169417,0,0,1929,0,0, , ,3.88,4,2,4,1,1007680079,0,87,984272,209784,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,181.0165104,1410.166577,129886,7,0,9306,9307,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +9307,MN,574,29,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,30 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,ARTICLE 3 TRUST OF TH,2132,5670,0,4860,0,0,0,0,0,0,2,1,3,2,2,22.5,94.75,22.5,69.79, ,3,N,5,1,101774,325305,6900,6900,1900,1995,0,Greenwich Village Historic District, ,2.66,2.43,0,4.8,1,1005740029,0,63,985246,206826,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,239.5506285,2217.334208,223531,8,0,9307,9308,10,2250,24.13299942,27.87333298,3.740333557,25.31523266,1.559881949,253.1523266 +9308,MN,408,9,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,86 ORCHARD STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,JONATHAN & ETHAN INC.,1260,3327,3327,0,0,2227,0,0,0,1100,2,1,3,0,3,21,60,21,60,E,3,N,5,2,137250,469350,0,0,1910,0,0, , ,2.64,4,4,4,1,1004080009,0,18,986985,200834,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,167.3190182,1305.583502,332100,13,0,9308,9309,6,1350,36.36111069,37.95666504,1.595554352,36.62703641,0.594627999,219.7622185 +9309,MN,477,66,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,48 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,O2,5,0, ,STONE REALTY LLC,5380,6891,6891,0,6891,0,0,0,0,0,2,1,2,0,2,63.67,84.5,42,82, ,2,Y,5,2,360000,814500,0,0,1914,1987,0, , ,1.28,0,10,10,1,1004770066,0,37,982858,203000,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,298.0098668,5460.634928,454500,0,1,9309,9310,25,5625,12.22999954,15.11888886,2.888889313,12.99727989,0.580035255,324.9319973 +9310,MN,486,39,102,49,1009,2,1,10013,E055,1,15,6800,1,2,1A,482 BROOME STREET,M1-5A, , , , , , , , , ,N,D7,4,0, ,60 WOOSTER LLC,2500,16250,3750,12500,0,3750,0,0,0,0,2,1,6,5,6,25,100,25,100, ,3,N,3,2,254323,1578839,0,0,1920,2003,2013,SoHo-Cast Iron Historic District, ,6.5,0,5,6.5,1,1004860039,0,49,983720,202710,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,263.8792384,2833.343359,1324520,0,0,9310,9311,13,2925,11.1744442,13.15222263,1.977778435,11.54885453,0.696161119,150.1351089 +9311,MN,592,52,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,160 WAVERLY PLACE,R6, , , , , , , , , ,N,C1,2,0, ,160 WAVERLY PLACE,4115,17117,0,17117,0,0,0,0,0,0,2,1,6,26,26,42.42,97,42,85, ,3,N,5,1,585000,2930400,0,0,1900,1987,0,Greenwich Village Historic District, ,4.16,2.43,0,4.8,1,1005920052,0,71,983851,206455,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,282.7692553,4236.323344,2345400,9,0,9311,9312,18,4050,17.50333405,17.95422173,0.45088768,17.52838336,0.103280974,315.5109005 +9312,MN,575,63,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,25 WEST 11 STREET,R6, , , , , , , , , ,N,A9,1,0, ,EPSTEIN DANIELLE,2099,4000,0,3000,0,0,0,0,0,0,2,1,4,1,1,20.33,103.25,20.33,50,E,3,N,5,1,57440,284188,0,0,1901,2007,2007,Greenwich Village Historic District, ,1.91,2.43,0,4.8,1,1005750063,0,63,985370,206935,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,253.9308944,2188.757446,226748,8,0,9312,9313,10,2250,24.42399979,24.42399979,0,24.42399979,0,244.2399979 +9313,MN,741,33,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,149 8 AVENUE,C1-6A, , , , , , , , , ,N,K1,5,0, ,149 EIGHTH AVE. LLC,1992,1992,1992,0,0,1992,0,0,0,0,2,1,1,0,1,19.92,100,20,98, ,3,N,5,2,181350,1450800,0,0,1940,0,0, , ,1,4,2,4,1,1007410033,0,83,983903,209628,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,244.8077947,1973.93502,1269450,7,0,9313,9314,9,2025,19.42666817,19.42666817,0,19.42666817,0,174.8400135 +9314,MN,744,24,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,315 WEST 20 STREET,R7B, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,27600,89802,89802,0,89802,0,0,0,0,0,2,1,5,0,3,150,184,150,178, ,3,N,4,2,2956500,6435900,2956500,6435900,1925,0,0, , ,3.25,3,0,3,1,1007440024,0,89,984043,210404,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,678.5043186,28396.07125,3479400,7,0,9314,9315,126,28350,15.84222221,23.13999939,7.297777176,16.73836156,1.969410843,2109.033556 +9315,MN,614,51,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,3B,12 BANK STREET,R6, , , , , , , , , ,N,C6,2,0, ,TWELVE TENANTS CORP,900,3300,0,3300,0,0,0,0,0,0,2,1,5,5,5,15,60,15,44, ,3,N,5,2,123497,338839,2360,2360,1910,0,0,Greenwich Village Historic District, ,3.67,2.43,0,4.8,1,1006140051,0,77,983715,207767,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,153.7920313,920.5058263,215342,8,0,9315,9316,4,900,25.32666588,28.46333313,3.136667252,26.11083269,1.358216762,104.4433308 +9316,MN,499,7501,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,127 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,5000,28121,7536,20585,0,7536,0,0,0,0,2,1,6,10,11,50,100,0,0, ,0,N,5,5,668248,4235850,22547,22547,1900,1982,0,SoHo-Cast Iron Historic District, ,5.62,0,5,6.5,1,1004997501,294,49,984499,203193,12c, ,101N072,10206, ,1004990023,1/7/1987,1, , ,17V1.1,7,310.1239232,5297.881788,3567600,0,0,9316,9317,24,5400,22.35555458,31.39999962,9.044445038,22.73240646,1.807318109,545.577755 +9317,MN,492,32,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,206 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,206 BOWERY RLTY CORP,1667,2334,2334,0,0,1167,0,1167,0,0,2,1,2.5,0,1,16.67,100,17,100,E,3,N,5,2,112500,308700,0,0,1807,0,0, , 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,17V1.1,0,258.3132456,2603.933623,335700,16,0,9321,9322,11,2475,17.01555634,24.51000023,7.494443893,22.1801418,2.564204588,243.9815598 +9322,MN,530,132,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,57 GREAT JONES STREET,C6-1,M1-5B, , , , , , , , ,Y,K2,5,0,P,57 GREAT JONES ST LLC,2383,4187,4187,0,981,3206,0,0,0,0,2,1,2,0,2,24.5,50,24.5,50, ,0,Y,5,5,116100,1072800,0,0,1900,2006,0,NoHo Historic District Extension, ,1.76,3.44,6,6.5,1,1005300132,0,5502,986368,203921,12c, ,103 010,10207, ,1005300132,9/6/1991,1, , ,17V1.1,0,250.3870431,2483.25547,956700,9,0,9322,9323,10,2250,43.14099884,44.89566422,1.754665375,43.31646538,0.526399612,433.1646538 +9323,MN,827,27,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,11 WEST 25 STREET,M1-6,C5-2, , , , , , , , ,Y,O6,5,0, ,KEW MANAGEMENT CORPOR,2469,26504,26504,0,24004,2500,0,0,0,0,2,1,12,0,7,25,98.75,25,89,E,3,N,5,2,625500,3108150,0,0,1913,0,0,Madison Square North Historic District, ,10.73,0,10,10,1,1008270027,0,58,987120,210150,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,253.2421837,2604.170556,2482650,2,0,9323,9324,11,2475,43.49000168,43.49000168,0,43.49000168,0,478.3900185 +9324,MN,106,7501,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1, ,330 PEARL STREET,C6-2A, , , , , ,LM, , , ,N,R1,2,0,P, ,3085,9655,0,9655,0,0,0,0,0,0,2,1,5,10,10,0.07,0,0,0, ,0,N,5,5,95193,980106,7080,7080,1922,0,0,South Street Seaport Historic District E, ,3.13,6.02,6,6.5,1,1001067501,99,1501,983778,197599,12b, ,101S023,10103, ,0, ,1, ,1,17V1.1,7,304.861195,3368.308266,884913,4,1,9324,9325,15,3375,9.201000214,21.91222191,12.71122169,10.4842446,3.378143084,157.263669 +9325,MN,871,16,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,17 IRVING PLACE,R8A, , , , , , , , , ,N,P1,5,0, ,POLISH ARMY VETERANS,7323,22897,22897,0,1546,720,0,0,0,20631,2,1,4,0,2,62.5,102.5,62.5,102.5, ,2,Y,3,1,823950,1908450,0,0,1945,1989,0, , ,3.13,6,0,6,1,1008710016,0,50,987449,207025,12c, ,102 035,10307, ,0, ,1, , 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,17V1.1,0,123.9782255,865.6552489,79294,9,0,9331,9332,4,900,17.76222229,20.52222252,2.760000229,18.45222235,1.195115156,73.80888939 +9332,MN,804,7501,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,149 WEST 28 STREET,M1-6, , , , , , , , , ,N,RC,5,0, , ,2469,7660,7660,0,1960,1960,0,3740,0,0,2,1,3,0,3,25,98.75,0,0, ,0,N,5,5,336601,781200,0,0,0,0,0, , ,3.1,0,10,10,1,1008047501,857,95,986313,211480,8d, ,105S023,10305, ,1008040010,12/16/1993,1, , ,17V1.1,7,250.6002672,2446.630935,444599,2,0,9332,9333,11,2475,33.41199875,34.47822189,1.066223145,33.57064542,0.346523948,369.2770996 +9333,MN,374,32,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A, EAST 5 STREET,R8A,R8B, , ,C1-5, , , , , ,Y,G7,10,0,P,"RASH, LLC",2116,0,0,0,0,0,0,0,0,0,7,1,0,0,0,22,96.17,0,0, ,0,N,5,5,150750,150750,0,0,0,0,0, , ,0,6,0,6,1,1003740032,0,2601,990377,202272,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,243.0468732,2150.501926,0,1,1,9333,9334,9,2025,11.78888893,12.80444431,1.015555382,12.23666657,0.350292411,110.1299992 +9334,MN,824,50,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,20 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0,P,GRAMERCY ARMS LLC,2752,11391,11391,0,9391,2000,0,0,0,0,2,1,5,0,5,28.5,98.75,29,94,E,3,N,5,2,393750,919800,0,0,1920,0,0,Ladies' Mile Historic District, ,4.14,10,10,10,1,1008240050,0,58,986857,209485,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,257.3444336,2853.956224,526050,2,0,9334,9335,12,2700,34.46500015,38.98666382,4.521663666,34.84180546,1.249721817,418.1016655 +9335,MN,584,30,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,75 1/2 BEDFORD STREET,R6, , , , , , , , , ,N,A4,1,0, ,"CHEZ MILLAY, LLC",760,999,0,999,0,0,0,0,0,0,2,1,3,1,1,9.5,80,9.5,43, ,3,N,5,2,14878,75063,0,0,1901,0,0,Greenwich Village Historic District, ,1.31,2.43,0,4.8,1,1005840030,0,67,982846,205731,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,183.3378563,780.2095082,60185,9,0,9335,9336,4,900,16.16111183,17.98333359,1.822221756,16.61666727,0.789045166,66.46666908 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PLACE,R8B, , , , , , , , , ,N,C1,2,0, ,BERDAR EQUITIES LLC,2437,9470,0,9470,0,0,0,0,0,0,2,1,5,20,20,25,97.5,25,78, ,3,N,5,2,250650,1517400,0,0,1929,1986,0, , ,3.89,4,0,4,1,1004490027,0,38,988142,204370,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.2610271,2465.767295,1266750,12,0,9338,9339,10,2250,26.66699982,26.66699982,0,26.66699982,0,266.6699982 +9339,MN,134,20,101,21,1004,2,1,10007,L010,1,15,7700,1,1,1A,17 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,D0,3,0, ,17 WARREN STREET TENA,1900,9510,1700,7810,0,1700,0,0,0,0,2,1,5,5,6,25.17,75.5,25,76, ,3,N,5,2,421652,703462,7080,7080,1915,1983,2006, , ,5.01,7.52,6,7.5,1,1001340020,0,21,982110,199346,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,204.6329024,1918.497251,281810,3,0,9339,9340,9,2025,30.50333214,34.66333389,4.160001755,30.96555456,1.307362422,278.689991 +9340,MN,776,10,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,249 WEST 26 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"CHELSEA PARTNERS 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,10.28,6.02,6,6.5,1,1005560048,0,42,987225,206004,12c, ,102 025,10207, ,1005560048,9/5/2008,1, , ,17V1.1,0,583.3887719,17831.29742,17593700,12,0,9342,9343,80,18000,37.67444229,43.13222122,5.457778931,39.21988902,2.122391436,3137.591122 +9343,MN,644,38,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,833 WASHINGTON STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,817-33 WASHINGTON STR,3492,6984,6984,0,3492,3492,0,0,0,0,2,1,2,0,3,68.83,81.83,68.84,81.84, ,3,Y,3,2,901800,3068550,0,0,1920,1945,2007,Gansevoort Market Historic District, ,2,0,5,6.5,1,1006440038,0,79,982097,208900,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,251.1548505,3634.259753,2166750,8,1,9343,9344,16,3600,11.98311043,13.47799969,1.494889259,13.33080524,0.405278938,213.2928839 +9344,MN,463,7,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,71 COOPER SQUARE,C6-1, , , , , , , , , ,N,H3,5,0, ,2 ST.MARKS PL HOTELCP,6216,20814,6216,0,0,6216,0,0,0,0,2,1,4,0,7,84,74,84,74, ,3,N,3,2,1398600,4442850,0,0,1925,1985,0, , 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,17V1.1,7,195.2277715,1529.012965,405584,14,0,9360,9361,7,1575,15.75599957,15.75599957,0,15.75599957,0,110.291997 +9361,MN,573,18,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,48 WEST 10 STREET,R6, , , , , , , , , ,N,S2,4,0,P,"BENEDETTO, D'ANDREA",1983,3864,1008,2856,0,1008,0,0,0,0,2,1,3,2,3,21.5,92.25,21.5,40, ,3,N,5,2,117341,276589,0,0,1899,0,0,Greenwich Village Historic District, ,1.95,2.43,0,4.8,1,1005730018,0,63,984886,206740,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,230.0164861,2009.775816,159248,8,0,9361,9362,9,2025,18.98099899,18.98099899,0,18.98099899,0,170.8289909 +9362,MN,606,87,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,8 PATCHIN PLACE,R6,C1-6, , , , , , , , ,Y,C2,2,0, ,"PATCHIN PLACE, LLC",1330,2154,0,2154,0,0,0,0,0,0,2,1,3,5,5,17.5,77.5,17.5,41, ,3,Y,5,5,121250,169533,0,0,1915,1969,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1006060087,0,71,984374,207094,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,194.7545706,1344.10963,48283,8,0,9362,9363,7,1575,19.72333336,21.95222092,2.228887558,20.72293636,0.898934016,145.0605545 +9363,MN,219,16,101,39,1014,2,1,10013,L008,1,15,7700,1,1,3B,37 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,D2,3,0, ,VESTRY HOLDING COOP C,1920,11500,0,11500,0,0,0,0,0,0,2,1,6,6,6,20.33,96.42,20,92, ,3,Y,5,5,56499,485635,0,0,1920,0,0,Tribeca North Historic District, ,5.99,6.02,6,6.5,1,1002190016,0,39,981759,202502,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,236.6050082,2003.055692,429136,0,1,9363,9364,9,2025,10.46666718,12.95555496,2.488887787,11.01049413,1.017596646,99.09444714 +9364,MN,410,21,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,119 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"YI YOUR CO .,INC.",1646,5985,2225,3760,0,1075,0,0,0,1150,2,1,5,8,9,18.67,88,18,70, ,2,N,5,2,125302,457546,0,0,1900,0,0, , ,3.64,4,4,4,1,1004100021,0,18,987345,201466,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,217.4174332,1712.412907,332244,13,0,9364,9365,8,1800,33.32444382,33.32444382,0,33.32444382,0,266.5955505 +9365,MN,743,23,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,331 WEST 19 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,NINETEENTH STREET LLC,2277,5500,0,5500,0,0,0,0,0,0,2,1,3,4,4,24.75,92,25,56,E,3,N,5,5,222300,372721,0,0,1910,1987,0, , ,2.42,3,0,3,1,1007430023,0,89,983870,210166,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,234.6337218,2236.179197,150421,7,0,9365,9366,10,2250,15.57888889,18.53222275,2.953333855,16.23366671,1.046424493,162.3366671 +9366,MN,435,41,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,123 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,TOMPKINS SQUARE PARTN,2438,7513,1502,6011,0,1502,0,0,0,0,2,1,5,10,12,25,97.5,25,50,E,3,N,5,2,383850,913500,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.08,4,0,4,1,1004350041,0,32,988652,203973,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.3013309,2541.278956,529650,12,0,9366,9367,11,2475,18.46888924,20.02555466,1.556665421,18.66270724,0.461321744,205.2897797 +9367,MN,286,16,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,239 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,239 HENRY PROPERTY LL,2308,6095,0,6095,0,0,0,0,0,0,2,1,5,9,9,23.08,100,23,52,E,3,N,5,2,169519,386072,0,0,1900,1985,0, , ,2.64,3.44,0,6.5,1,1002860016,0,201,988206,199393,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,252.9150132,2364.508098,216553,13,0,9367,9368,10,2250,29.71888924,34.75,5.031110764,32.01577778,2.340632665,320.1577778 +9368,MN,229,13,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,14 WOOSTER STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,14-16 WOOSTER OWNERSC,4400,27359,7816,19543,3908,3908,0,0,0,0,2,1,7,6,8,44,100,44,89, ,3,N,5,2,169413,1773169,0,0,1960,2002,0,SoHo-Cast Iron Historic District, ,6.22,0,5,6.5,1,1002290013,0,47,983357,202075,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,297.2465402,4604.194225,1603760,0,1,9368,9369,21,4725,9.686666489,9.686666489,0,9.686666489,0,203.4199963 +9369,MN,595,73,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,514 GREENWICH STREET,C6-2A, , , , , , , , , ,N,S3,4,0, ,PAUL RAQUEL LLC,756,2724,756,1968,0,756,0,0,0,0,2,1,4,3,4,18.75,40.33,18,40, ,3,N,3,5,28528,192709,0,0,1900,2006,2006, , ,3.6,6.02,6,6.5,1,1005950073,0,37,981672,203734,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,122.4891573,800.3103283,164181,0,1,9369,9370,4,900,8.821000099,9.552222252,0.731222153,9.003805637,0.31662848,36.01522255 +9370,MN,574,58,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,27 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0,P,27 WEST 10TH STREET O,2397,8204,0,8204,0,0,0,0,0,0,2,1,4,7,7,25.33,94.75,25,72,E,3,N,5,1,187501,701350,0,0,1900,1988,0,Greenwich Village Historic District, ,3.42,2.43,0,4.8,1,1005740058,0,63,985139,206774,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,247.8470098,2496.561312,513849,8,0,9370,9371,10,2250,20.66300011,26.2966671,5.633666992,21.56617794,1.874248182,215.6617794 +9371,MN,779,75,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,400 8 AVENUE,C6-3X, , , , , , , , , ,N,O3,5,0,P,400 EIGHTH AVENUE OW,8365,76637,76637,0,76637,0,0,0,0,0,2,1,8,0,1,83.42,100.25,83,100, ,2,N,3,2,2016000,13797450,0,0,1924,0,0, , ,9.16,9,6,9,1,1007790075,0,95,985603,212294,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,392.0566327,9562.88499,11781500,6,0,9371,9372,43,9675,29.5233326,31.05999947,1.53666687,30.83710542,0.467775871,1325.995533 +9372,MN,591,52,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,106 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K1,5,0,P,A.J.R. REALITY CORP,1733,1733,1733,0,0,1733,0,0,0,0,2,1,1,0,1,32,82,26,82, ,3,Y,4,0,382500,895950,0,0,1910,0,0,Greenwich Village Historic District, ,1,3.44,3.4,6.5,1,1005910052,0,73,983353,206472,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,204.2806501,1866.854395,513450,9,0,9372,9373,8,1800,23.46111107,24.25444412,0.793333054,23.5602777,0.262370246,188.4822216 +9373,MN,465,14,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,114 EAST 10 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,WBH EAST HAMPTON LLC,972,3440,0,3150,0,0,0,0,0,0,2,1,5,2,2,18,57.42,18,35, ,3,Y,5,3,38843,109659,0,0,1899,2005,0,St. Mark's Historic District, ,3.54,4,0,4,1,1004650014,0,40,987477,205326,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,149.3892837,1006.051999,70816,12,0,9373,9374,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +9374,MN,353,41,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,126 DELANCEY STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,DELANCEY NORFOLK LLC,2465,7395,7395,0,4930,2465,0,0,0,0,2,1,3,0,2,24.5,100,25,100, ,3,Y,5,2,207000,1674900,0,0,1900,2005,2005, , ,3,6.02,6,6.5,1,1003530041,0,18,987701,201125,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,250.9634686,2449.392602,1467900,13,0,9374,9375,11,2475,29.00666618,29.00666618,0,29.00666618,0,319.073328 +9375,MN,501,39,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,157 SPRING STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,BROAD SPRING OWNERS I,1875,11160,1860,9300,0,1860,0,0,0,0,2,1,6,5,7,25,75.25,25,75, ,3,N,3,0,391423,918895,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.95,0,5,6.5,1,1005010039,0,49,983791,203277,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,213.8730059,2184.375986,527472,0,0,9375,9376,11,2475,15.00755596,16.21222305,1.204667091,15.174364,0.374448397,166.918004 +9376,MN,803,57,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,130 WEST 28 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,130 FLOWER CORP,2469,15969,2475,13494,0,2475,0,0,0,0,2,1,7,6,7,25,98.75,25,99, ,2,N,5,2,72574,552182,7080,7080,1910,0,0, , ,6.47,0,10,10,1,1008030057,0,95,986478,211210,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,248.5596574,2485.747369,479608,2,0,9376,9377,11,2475,36.93999863,38.14444351,1.204444885,37.04949362,0.346253559,407.5444298 +9377,MN,484,12,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,521 BROADWAY,M1-5B, , , , , , , , , ,N,L8,6,0, ,521 BROADWAY GROUP LL,3462,13310,13310,0,0,2662,0,10648,0,0,2,1,5,0,7,26.5,120,27,120,E,0,Y,5,2,810000,4285350,0,0,1900,2015,0,SoHo-Cast Iron Historic District, ,3.84,0,5,6.5,1,1004840012,0,49,984435,202655,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,336.5905783,3811.512381,3475350,0,0,9377,9378,16,3600,22.21222115,22.21222115,0,22.21222115,0,355.3955383 +9378,MN,901,29,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,351 2 AVENUE,R9A, , , ,C1-5, , , , , ,N,S2,4,0,P,"351 SECOND AVENUE, LL",1580,3600,1188,2412,0,1188,0,0,0,0,2,1,3,2,3,20,79,20,40,E,3,N,5,5,113324,150579,0,0,1910,2009,0, , ,2.28,7.52,0,7.52,1,1009010029,0,64,989136,207559,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,202.6176996,1583.672197,37255,5,0,9378,9379,8,1800,19.86555672,19.86555672,0,19.86555672,0,158.9244537 +9379,MN,40,7501,101,7,1011,2,1,10005,E004,1,15,7700, ,1, ,73 PINE STREET,C5-5, , , , , ,LM, , , ,N,RB,5,0, ,75 WALL ASSOCIATES,22014,289494,289494,0,0,0,0,0,0,289494,2,1,19,0,2,89,199,90,200, ,3,Y,0,5,7110000,20253150,0,0,1925,0,0, , ,13.15,10,15,15,1,1000407501,2241,7,982059,196477,12b, ,101S006,10101, ,1000400001,7/26/2011,1, , ,17V1.1,7,693.4931405,23030.92607,13143200,17,1,9379,9380,103,23175,10.99222279,20.4109993,9.418776512,19.9937491,1.685673601,2059.356157 +9380,MN,350,6,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,176 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,176 SUFFOLK ST REALTY,2516,9835,200,9635,0,200,0,0,0,0,2,1,5,22,24,25.17,100,25,76, ,2,N,5,2,202500,913950,0,0,1910,1986,0, , ,3.91,4,0,4,1,1003500006,0,3001,988473,201962,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,260.8364457,2785.725058,711450,1,0,9380,9381,13,2925,22.40999985,26.58333397,4.173334122,23.13923073,1.273637622,300.8099995 +9381,MN,29,73,101,9,1005,2,1,10004,L015,1,15,7700,1,1,1B,44 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,O3,5,0,C,SANITATION,9010,97596,97596,0,97596,0,0,0,0,0,2,1,12,0,0,98.75,72.42,98.75,72.42, ,0,Y,5,2,2812500,7573500,2812500,7573500,1920,1984,0, , ,10.83,10,15,15,1,1000290073,0,9,981260,196092,12b, ,101S002,10101, ,0, ,1, ,1,17V1.1,0,531.6827828,9806.723621,4761000,17,1,9381,9382,44,9900,10.60555553,11.50666714,0.901111603,11.21373255,0.12123949,493.404232 +9382,MN,393,49,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,371 EAST 10 STREET,R8B, , , , , , , , , ,N,I5,8,0,P,STELLAR 85 LLC,3792,17279,17279,0,0,0,0,0,0,17279,2,1,6,0,24,40,94.75,40,76, ,3,N,5,1,141300,1241100,0,0,1910,0,0, , ,4.56,4,0,4,1,1003930049,0,28,990191,203975,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,277.5221796,3960.965853,1099800,12,1,9382,9383,17,3825,7.409999847,7.526666641,0.116666794,7.4168626,0.02745101,126.0866642 +9383,MN,619,81,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,85 CHRISTOPHER STREET,R6,C1-6, , , , , , , , ,Y,C7,4,0,P,CHRISTOPHER ST.ASSOCI,2275,10950,900,10050,0,900,0,0,0,0,2,1,6,20,22,25,91,25,72, ,2,N,5,0,315000,1217250,0,0,1905,1986,0,Greenwich Village Historic District, ,4.81,2.43,0,4.8,1,1006190081,0,73,983180,206566,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,238.0302905,2458.168485,902250,9,0,9383,9384,11,2475,23.46111107,27.99777794,4.53666687,24.33808084,1.514242415,267.7188892 +9384,MN,571,13,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,20 EAST 14 STREET,C6-1, , , , , , , , , ,N,C5,2,0, ,13-14 DEVELOPMENT,3713,11240,3500,7740,0,3500,0,0,0,0,2,1,4,5,6,25,148.5,25,148, ,3,N,5,5,592724,1560000,0,0,1910,1999,0, , ,3.03,3.44,6,6.5,1,1005710013,0,61,986253,207151,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,353.2206073,3790.260636,967276,8,0,9384,9385,16,3600,36.25,36.25,0,36.25,0,580 +9385,MN,846,24,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,862 BROADWAY,C6-4, , , , , ,US, , , ,N,S9,4,0, ,"BROADWAY INVESTORS, L",1664,4780,2390,2390,0,2390,0,0,0,0,2,1,4,2,4,26,74,28,72, ,3,Y,5,5,272397,1038855,0,0,1910,2004,0,Ladies' Mile Historic District, ,2.87,10,10,10,1,1008460024,0,52,987022,207876,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,193.0713648,1777.516761,766458,7,0,9385,9386,9,2025,41.51599884,44.27555466,2.759555817,41.82261615,0.867244725,376.4035454 +9386,MN,613,34,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,29 PERRY STREET,R6, , , , , , , , , ,N,C6,2,0, ,29 PERRY OWNERS CORP,2088,8750,2000,6750,0,2000,0,0,0,0,2,1,5,10,10,25,95,25,70, ,3,N,5,2,169005,597688,2360,2360,1946,1986,0,Greenwich Village Historic District, ,4.19,2.43,0,4.8,1,1006130034,0,73,983589,207376,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,247.6767782,2545.683539,428683,8,0,9386,9387,11,2475,25.34199905,27.88555527,2.543556213,26.10975699,1.029716455,287.2073269 +9387,MN,63,17,101,13,1007,2,1,10007,E010,1,15,7700,1,1,1A,181 BROADWAY,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,181 BWAY ASSOC,2589,17629,12629,5000,5129,7500,0,0,0,0,2,1,7,2,7,25.25,100.67,25,100, ,3,Y,5,2,612000,2067300,0,0,1920,1970,0, , ,6.81,10,15,15,1,1000630017,0,13,981479,198036,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,261.0066486,2661.290714,1455300,3,0,9387,9388,11,2475,30.83200073,30.83200073,0,30.83200073,0,339.1520081 +9388,MN,615,67,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,20 JANE STREET,R6, , , , , , , , , ,N,C6,2,0, ,20 JANE TENANTS CORP.,1636,7200,0,7200,0,0,0,0,0,0,2,1,5,20,20,24,68.17,24,60, ,3,Y,5,2,64350,782100,2360,2360,1946,0,0,Greenwich Village Historic District, ,4.4,2.43,0,4.8,1,1006150067,0,77,983404,208139,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,186.2648036,1635.984751,717750,8,0,9388,9389,5,1125,21.74111176,24.16333389,2.422222137,22.22555618,0.968888855,111.1277809 +9389,MN,611,49,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,18 CHARLES STREET,R6, , , , , , , , , ,N,C5,2,0, ,"18 CHARLES STREET, LL",3800,7170,0,7170,0,0,0,0,0,0,2,2,4,16,16,40,95,20.83,39.83,E,3,N,5,0,136800,1041300,0,0,1900,0,0,Greenwich Village Historic District, ,1.89,2.43,0,4.8,1,1006110049,0,71,983948,207057,12a,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,270.6190767,3777.891935,904500,8,0,9389,9390,16,3600,19.84000015,23.2788887,3.43888855,20.5402987,1.010232819,328.6447792 +9390,MN,513,7,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,142 GREENE STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,PAUL SMITH PROPERTIES,5333,24200,24200,0,14520,9680,0,0,0,0,2,1,5,0,7,50.83,110,51,100, ,3,Y,5,2,1201050,9039150,0,0,1900,2006,0,SoHo-Cast Iron Historic District, ,4.54,0,5,6.5,1,1005130007,0,49,984665,203638,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,331.0356426,5610.175171,7838100,9,0,9390,9391,26,5850,26.62555504,29.59111023,2.965555191,26.81005933,0.658203514,697.0615425 +9391,MN,552,16,102,65,1001,2,1,10011,L009,6,15,5700,1,2,2A,74 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,A4,1,0, ,M. SCHUNKER LLC,2150,7546,0,6161,0,0,0,0,0,0,2,1,4,1,1,22.33,96.25,22.4,62.6, ,2,N,5,1,67466,516144,0,0,1900,2013,0,Greenwich Village Historic District, ,3.51,3.44,0,6.5,1,1005520016,0,65,984296,205864,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,242.7186701,2299.476263,448678,9,0,9391,9392,10,2250,17.50333405,18.63555527,1.132221222,17.61655617,0.339666367,176.1655617 +9392,MN,574,39,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,40 5 AVENUE,R10,R6, , , , , , , , ,Y,D4,3,0, ,40 FIFTH AVE CORP,12365,141877,0,141877,0,0,0,0,0,0,2,1,15,76,76,99.92,125,100,125, ,2,Y,3,2,1561500,14963850,255729,255729,1929,1987,0,Greenwich Village Historic District, ,11.47,10,0,10,1,1005740039,0,63,985485,206691,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,454.6006289,12652.28694,13402400,8,0,9392,9393,56,12600,24.13299942,30.80999947,6.677000046,25.90187223,1.764886257,1450.504845 +9393,MN,532,8,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,246 MERCER STREET,C6-2, , , , , , , , , ,N,H8,8,0,P,NEW YORK UNIVERSITY,40000,307312,0,0,0,0,0,0,0,0,2,2,20,0,0,200,200,172,174, ,2,Y,3,2,2326500,29196000,2326500,29196000,1980,0,0,NoHo Historic District, ,7.68,6.02,6,6.5,1,1005320008,0,5501,985512,204401,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,806.1391712,40593.49155,26869500,9,0,9393,9394,179,40275,35.57088852,42.23110962,6.6602211,37.11660803,1.8817248,6643.872837 +9394,MN,738,7502,104,83,2001,2,3,10011,L012,10,15,5600,1,4, ,66 9 AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0, , ,5162,38329,3751,34578,0,3751,0,0,0,0,2,1,10,21,22,100,51.62,100,51.62, ,0,N,1,5,274500,7160852,0,0,1905,1966,2003, , ,7.43,6.02,6,6.5,1,1007387502,1326,83,982963,209381,8b, ,103 036,10303,E-92,1007380076,4/30/2004,1, , ,17V1.1,7,314.7111545,5518.757941,6886350,7,0,9394,9395,24,5400,16.15333366,16.60766602,0.454332352,16.18476415,0.106596674,388.4343395 +9395,MN,455,49,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,333 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,LEM LEE 13TH LIMITEDP,2925,10730,0,10730,0,0,0,0,0,0,2,1,5,15,15,28.33,103.25,28,90, ,2,N,5,2,225450,1399050,0,0,1910,0,0, , ,3.67,4,2,4,1,1004550049,0,40,988729,205685,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,272.8921714,3080.032442,1173600,12,0,9395,9396,13,2925,22.17099953,24.46888924,2.297889709,22.34776027,0.612317189,290.5208836 +9396,MN,635,4,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,739 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,DOROTHY LICHTENSTEIN,1400,2400,0,2400,0,0,0,0,0,0,2,1,3,3,3,20,72.08,20,40, ,2,Y,5,2,32502,102475,0,0,1899,0,0,Greenwich Village Historic District, ,1.71,4,2,4,1,1006350004,0,79,982019,207596,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,183.4647277,1429.738235,69973,8,0,9396,9397,4,900,13.34599972,14.13111115,0.785111427,13.54227757,0.33996322,54.1691103 +9397,MN,373,49,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,311 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,311 EAST 3 STREET HDF,4664,20076,2000,18076,0,0,0,0,0,2000,2,1,6,36,38,48.5,96.17,48,80, ,3,N,5,2,270000,835650,270000,342449,1920,1988,0, , ,4.3,4,0,4,1,1003730049,0,2601,990084,202036,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,294.1564564,4786.015756,565650,1,0,9397,9398,21,4725,12.37111092,13.32222271,0.951111794,12.41640195,0.202547679,260.744441 +9398,MN,397,6,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,14 AVENUE A,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,14 AVENUE A LLC,2377,8722,1600,7122,0,1600,0,0,0,0,2,1,5,16,17,24.92,95.33,25,68, ,3,N,5,0,216000,1141650,0,0,1900,1987,0, , ,3.67,6,0,6,1,1003970006,0,3002,988200,202513,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,243.0240506,2410.036705,925650,1,0,9398,9399,11,2475,19.55999947,28.01555634,8.45555687,21.73797954,3.57237013,239.117775 +9399,MN,909,45,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,218 EAST 29 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,218 E 29 ST OWNERS CO,2469,14575,1300,13275,1300,0,0,0,0,0,2,1,9,10,11,25,98.75,24,75, ,3,N,5,1,315000,1822500,38460,38460,1984,0,0, , ,5.9,4,0,4,1,1009090045,0,66,989944,209585,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,253.199695,2533.298037,1507500,11,0,9399,9400,12,2700,35.64599991,38.73666763,3.090667725,36.02644444,0.912414932,432.3173332 +9400,MN,189,12,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,160 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,S5,4,0, ,GEORGE E ATHANS TRADC,2197,11628,1950,9678,0,0,0,0,0,1950,2,1,6,5,6,25,87.67,25,88,E,3,N,5,5,143511,592701,0,0,1915,1983,0,Tribeca West Historic District, ,5.29,6.02,6,6.5,1,1001890012,0,33,981978,201392,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,234.0711722,2287.337021,449190,14,1,9400,9401,9,2025,10.17444515,12.15999985,1.985554695,10.39506234,0.62399964,93.55556107 +9401,MN,908,33,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,493 2 AVENUE,C1-8A, , , , , , , , , ,N,C4,2,0, ,493 2ND LLC,2469,9442,1224,8218,0,1224,0,0,0,0,2,1,5,18,20,24.67,100,25,73, ,3,N,5,2,77850,1517400,0,0,1920,0,0, , ,3.82,7.52,2,7.5,1,1009080033,0,66,990053,209243,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,267.13425,2721.210708,1439550,11,0,9401,9402,13,2925,32.6922226,34.2388916,1.546669006,32.91470132,0.523247506,427.8911171 +9402,MN,411,61,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,143 ESSEX STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,FORTUNA CRX INC,4500,16593,1800,14793,0,1800,0,0,0,0,2,1,5,18,20,50,90,50,80, ,3,N,5,2,267750,2063250,0,0,1920,1987,0, , ,3.69,4,4,4,1,1004110061,0,3001,987716,201794,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,287.7977861,4714.797829,1795500,1,0,9402,9403,20,4500,30.50799942,32.52555466,2.017555237,30.72014389,0.531838368,614.4028778 +9403,MN,906,33,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,459 2 AVENUE,C1-8A, , , , , , , , , ,N,C4,2,0, ,TRESSER MGMT CORP,1204,4777,1100,3677,0,1100,0,0,0,0,2,1,4,6,7,20,60,20,60, ,3,N,3,2,57922,526992,0,0,1920,1959,0, , ,3.97,7.52,2,7.5,1,1009060033,0,66,989837,208808,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,166.5715214,1347.247152,469070,11,0,9403,9404,5,1125,30.96199989,31.483778,0.521778107,31.06635551,0.208711243,155.3317776 +9404,MN,592,11,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,116 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,B1,1,0, ,ANDRE D BECKER,1278,3135,0,3135,0,0,0,0,0,0,2,1,4,2,2,18,71,18,42, ,3,N,5,0,46390,170587,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.45,2.43,0,4.8,1,1005920011,0,71,983871,206154,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,187.5454594,1352.596416,124197,9,0,9404,9405,6,1350,17.50333405,18.34444427,0.841110229,17.72092628,0.305371628,106.3255577 +9405,MN,823,72,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,54 WEST 22 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,54 W 22ND OWNER LLC,2334,12005,5999,6006,3679,2320,0,0,0,0,2,1,6,3,7,23.5,98.75,23.5,87, ,3,N,5,2,213750,1098900,0,0,1910,0,0,Ladies' Mile Historic District, ,5.14,10,10,10,1,1008230072,0,58,986248,209526,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,248.1567953,2351.638368,885150,7,0,9405,9406,11,2475,33.74333191,33.74333191,0,33.74333191,0,371.176651 +9406,MN,133,7510,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,55 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4387,22268,5463,16805,0,5463,0,0,0,0,2,1,6,4,6,25,175.5,25,176, ,0,Y,0,5,105268,1585825,0,0,1920,0,0, , ,5.08,6.02,6,6.5,1,1001337510,2101,21,981618,199580,12b, ,101S017,10104, ,1001330012,2/9/2012,1, , ,17V1.1,7,422.4164584,4786.745808,1480560,3,0,9406,9407,21,4725,25.60300064,25.60300064,0,25.60300064,0,537.6630135 +9407,MN,440,14,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,410 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,M & E 410 EAST 13THST,5676,18674,0,18674,0,0,0,0,0,0,2,1,6,35,35,40.33,125.33,40,94, ,3,Y,5,2,374850,1582200,0,0,1900,1988,0, , ,3.29,4,0,4,1,1004400014,0,34,989078,205306,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,333.278642,4703.11748,1207350,12,0,9407,9408,21,4725,16.59444427,20.99777794,4.403333664,16.88258189,0.984651258,354.5342197 +9408,MN,581,1,102,37,2003,2,3,10014,E024,1,15,6800,1,2,1B,201 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O3,5,0,X,US GENERAL SERVICES A,80000,930680,930680,0,930680,0,0,0,0,0,2,1,12,0,1,200.33,400.5,200,400, ,1,N,1,2,9675000,103923900,9675000,103923900,1928,0,0, , ,11.63,0,10,10,1,1005810001,0,37,982511,204627,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,1231.181803,84742.15717,94248896,9,0,9408,9409,376,84600,15.38333321,16.86000061,1.476667404,15.41148864,0.156922602,5794.71973 +9409,MN,455,23,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,332 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,"332 EAST 14TH STREET,",2323,5406,1423,3983,0,1423,0,0,0,0,2,1,5,8,9,22.5,103.25,23,58,E,3,N,5,2,131865,430556,0,0,1945,1988,0, , ,2.33,4,2,4,1,1004550023,0,40,988736,205802,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,256.3664702,2468.148226,298691,12,0,9409,9410,11,2475,22.17099953,25.88999939,3.718999863,23.31136322,1.538719201,256.4249954 +9410,MN,826,24,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,25 WEST 24 STREET,M1-6, , , , , , , , , ,N,H3,5,0,P,25 WEST 24TH STREET R,2469,10985,2197,0,0,0,0,2197,0,0,2,1,5,3,4,25,98.75,25,99,E,3,N,5,2,562500,802350,0,0,1920,1989,0, , ,4.45,0,10,10,1,1008260024,0,58,986842,210011,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,247.8029705,2472.540427,239850,2,0,9410,9411,12,2700,33.45800018,33.45800018,0,33.45800018,0,401.4960022 +9411,MN,745,44,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,310 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,310 W 22ND STREET PAR,1975,4540,0,4540,0,0,0,0,0,0,2,1,3,12,12,20,98.75,20,45, ,3,N,5,1,77400,443250,0,0,1900,1985,0, , ,2.3,3,0,3,1,1007450044,0,89,984322,210594,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,241.8110496,2145.991758,365850,7,0,9411,9412,10,2250,15.9989996,21.71333313,5.714333534,17.60529966,2.458002311,176.0529966 +9412,MN,590,20,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,16 JONES STREET,R6, , , , , , , , , ,N,W3,8,0,X,CO-OP SETTLEMENT INC,3105,5524,5524,0,5524,0,0,0,0,0,2,1,3,0,2,21,98.42,21,98,E,3,Y,5,2,254250,551700,254250,551700,1920,0,0,Greenwich Village Historic District Exte, ,1.78,2.43,0,4.8,1,1005900020,0,67,983597,205878,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,321.9293451,3800.438554,297450,9,0,9412,9413,17,3825,17.54000092,18.25,0.709999084,17.58176557,0.167058608,298.8900146 +9413,MN,876,6,105,50,1002,2,2,10010,E014,13,14,5300,1,5,1B,257 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O4,5,0,P,257 PARK AVENUE SOUTH,10350,207233,207233,0,196883,10350,0,0,0,0,2,1,20,0,28,115,90,115,90, ,2,N,3,2,9315000,32052150,0,0,1913,1988,0, , ,20.02,10,10,10,1,1008760006,0,50,987808,208360,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,432.9813522,11578.39683,22737200,5,0,9413,9414,52,11700,31.73777771,35.37444305,3.636665344,32.31281618,1.212149479,1680.266441 +9414,MN,776,17,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,233 WEST 26 STREET,C6-2A,C6-2, , , , , , , , ,Y,D4,3,0, ,233 235 W 26TH OWNERS,4912,47433,0,47433,0,0,0,0,0,0,2,1,9,20,20,49.75,98.75,50,90, ,3,N,5,2,379800,5040450,38460,38460,1926,0,0, , ,9.66,6.02,6,6.5,1,1007760017,0,95,985428,211380,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,306.3779824,5316.080797,4660650,2,0,9414,9415,24,5400,26.70400047,28.7211113,2.017110825,26.80813011,0.410326541,643.3951225 +9415,MN,742,37,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,167 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,167-8TH AVENUE LLC,2233,9240,2020,7220,0,2020,0,0,0,0,2,1,5,8,9,22.33,100,22,78, ,3,N,5,2,148357,489869,0,0,1910,2008,2001, , ,4.14,4,2,4,1,1007420037,0,89,984023,209844,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,245.547594,2248.367376,341512,7,0,9415,9416,11,2475,15.59444427,19.72822189,4.133777618,15.97024224,1.18837751,175.6726646 +9416,MN,818,41,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,110 5 AVENUE,C6-4M,C6-2M, , , , , , , , ,Y,O6,5,0,P,110 FIFTH REALTY CORP,14525,148940,148940,0,134940,14000,0,0,0,0,2,1,11,0,8,91.5,158.33,92,156, ,2,Y,3,2,5400000,36831600,0,0,1900,2012,1987,Ladies' Mile Historic District, ,10.25,10,10,10,1,1008180041,0,54,986210,208031,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,519.9216074,15648.47569,31431600,7,0,9416,9417,70,15750,31.11599922,38.00022125,6.884222031,31.48350721,1.339103823,2203.845505 +9417,MN,443,16,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,59 EAST 2 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,RUSSIAN ORTHODOX ETC,9667,26282,26282,0,0,0,0,0,0,26282,2,1,3,0,2,74,113.5,74,110, ,3,Y,5,1,634500,1629900,634500,1629900,1920,0,0,East Village/Lower East Side Historic Di, ,2.72,4,0,4,1,1004430016,0,3602,987160,203156,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,413.4975297,9559.471543,995400,1,0,9417,9418,42,9450,31.53899956,35.97333145,4.434331894,31.7535419,0.934232977,1333.64876 +9418,MN,298,4,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,20 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"SHEINMAN REALTY CO,IN",2233,11816,4015,7801,0,1890,0,2125,0,0,2,1,5,8,9,25,89.33,25,85, ,2,N,5,2,259083,692418,0,0,1900,2003,2003, , ,5.29,6.02,6,6.5,1,1002980004,0,16,986624,199871,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,237.6029362,2445.954851,433335,13,0,9418,9419,12,2700,37.64699936,39.07500076,1.428001404,37.84597174,0.446610073,454.1516609 +9419,MN,878,65,105,68,2001,2,2,10010,E014,13,14,5300,1,6,1B,120 EAST 23 STREET,C6-4A,R9A, , , , , , , , ,Y,O3,5,0, ,GRAMERCY FIVE,17281,200757,200757,0,200757,0,0,0,0,0,2,1,12,0,15,100,197.5,100,197.5, ,0,Y,4,2,11520000,26540550,0,0,1913,1992,2011, , ,11.62,10,10,10,1,1008780065,0,68,988205,208688,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,608.7322603,17948.08871,15020600,11,0,9419,9420,79,17775,26.03777695,30.5577774,4.520000458,26.30484593,0.997147489,2078.082829 +9420,MN,503,5,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,105 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,"105 SULLIVAN, LLC",2500,9450,760,8690,0,760,0,0,0,0,2,1,5,14,16,25,100,25,74, ,3,N,5,2,270000,1345050,0,0,1900,2015,0,Sullivan-Thompson Historic District, ,3.78,3.44,0,6.5,1,1005030005,0,49,983492,203652,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,256.1539174,2623.185317,1075050,0,0,9420,9421,11,2475,15.37666702,15.37666702,0,15.37666702,0,169.1433373 +9421,MN,696,32,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,239 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,D6,4,0, ,"VHS 239, LLC",5520,41489,3392,38097,0,3392,0,0,0,0,2,1,11,11,12,78.92,70,78.92,70, ,3,N,3,2,1633950,3213450,0,0,2015,0,0, , ,7.52,7.52,6,10,1,1006960032,0,99,983188,212024,8b, ,105S003,10301,E-142,0, ,1, ,1,17V1.1,0,306.9525814,5882.507504,1579500,2,1,9421,9422,26,5850,9.016666412,10.79888916,1.782222748,9.863145351,0.487391905,256.4417791 +9422,MN,850,4,105,56,3001,2,2,10010,E014,13,15,5700,1,5,1O,153 5 AVENUE,C6-4M, , , , , , , , , ,N,O6,5,0, ,777-26 LLC,4825,37288,37288,0,31788,5500,0,0,0,0,2,1,7,0,6,59.25,87.58,59,74, ,3,Y,5,2,1118250,7873200,0,0,1900,1989,0,Ladies' Mile Historic District,SCRIBNER BUILDING (UNITED SYNAGOGUE,7.73,10,10,10,1,1008500004,0,56,987012,209036,8d, ,102 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,17V1.1,0,406.1265663,9765.359893,1239750,8,0,9426,9427,44,9900,26.29888916,30.4822216,4.183332443,26.76453551,1.135773913,1177.639563 +9427,MN,635,46,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,129 BANK STREET,C1-6A, , , , , , , , , ,N,B1,1,0, ,"GRIMES, JOHN M.",600,1240,0,1240,0,0,0,0,0,0,2,1,3,2,2,20.92,31,13,30, ,2,Y,5,2,24203,73686,0,0,1899,0,0,Greenwich Village Historic District, ,2.07,4,2,4,1,1006350046,0,79,982055,207550,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,103.6716478,624.7683791,49483,8,0,9427,9428,2,450,13.34599972,13.34599972,0,13.34599972,0,26.69199944 +9428,MN,890,74,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,126 EAST 35 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,126 E 35TH ST CORP,2296,4743,0,4743,0,0,0,0,0,0,2,1,4,2,2,23.83,98.75,23.83,50,E,3,Y,5,2,129451,315187,0,0,1920,0,0,Murray Hill Historic District, ,2.07,4,0,4,1,1008900074,0,72,989811,211472,8d, ,104 031,10307, ,0, ,1, , 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,17V1.1,0,408.9722196,10072.38483,3622050,9,0,9430,9431,45,10125,18.37666702,19.71888924,1.342222214,18.48644473,0.323194269,831.8900127 +9431,MN,886,63,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,171 LEXINGTON AVENUE,C6-2A,R8B, , , , , , , , ,Y,D3,3,0, ,LEXINGTON HDFC,5877,42000,0,42000,0,0,0,0,0,0,2,1,12,41,41,43.11,98.9,46,82, ,2,Y,5,0,405000,909000,0,353329,2002,0,0, , ,7.15,6.02,6,6.5,1,1008860063,0,72,989529,210384,8d, ,104 019,10307, ,1008860062,1/6/2003,1, , ,17V1.1,0,431.1614382,5898.429783,504000,10,0,9431,9432,27,6075,28.17889023,31.04333305,2.864442825,28.80529305,0.985700171,777.7429123 +9432,MN,692,63,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,558 WEST 21 STREET,C6-3, , , , , ,WCH, , , ,N,O2,5,0,P,558 WEST 21ST STREET,1360,4080,4080,0,4080,0,0,0,0,0,2,1,3,0,3,33.77,80.51,33,87, ,3,Y,3,2,154800,746550,0,0,1900,1988,0, , ,3,7.52,6,10,1,1006920063,0,99,982139,211530,8b, ,103 044,10301,E-142,0, 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STREET,R7B,C1-8A, , , , , , , , ,Y,C1,2,0, ,M & E 336-348 E. 18TH,4600,18240,0,18240,0,0,0,0,0,0,2,1,6,24,24,50,92,50,78, ,3,N,5,2,226350,3181500,0,0,1910,1987,0, , ,3.97,3,0,3,1,1009230039,0,48,989412,206648,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,287.7178358,4712.450284,2955150,5,0,9449,9450,21,4725,14.83555603,14.83555603,0,14.83555603,0,311.5466766 +9450,MN,875,33,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,137 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,RICHARDS ROSEN REALTY,1725,4991,0,4991,0,0,0,0,0,0,2,1,4,3,3,23,75,23,58, ,3,N,5,2,105605,218398,0,0,1900,1981,2006,Gramercy Park Historic District, ,2.89,4,0,4,1,1008750033,0,50,988243,207735,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,202.8799781,1777.096705,112793,5,0,9450,9451,8,1800,25.84222221,28.82999992,2.98777771,26.58916664,1.293745699,212.7133331 +9451,MN,645,39,102,79,1008,2,3,10014,L005,6,15,6100,1,2,3B,402 WEST 13 STREET,M1-5, , , , , , , , , ,N,O5,5,0,P,402-04 WEST 13TH STR,2984,17667,17667,0,14134,3533,0,0,0,0,2,1,5,0,2,38.5,77.5,0,0, ,0,Y,5,5,577350,3742200,0,0,2010,0,0,Gansevoort Market Historic District, ,5.92,0,5,6.5,1,1006450039,0,79,982472,208980,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,235.2149992,3052.429289,3164850,8,1,9451,9452,14,3150,11.63800049,15.21333313,3.575332642,12.68996852,1.319007734,177.6595593 +9452,MN,827,1,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,55 WEST 25 STREET,C6-4X, , , , , , , , , ,N,D7,4,0, ,MARINE ESTATES LLC,29625,428340,51625,376715,0,20916,28875,1834,0,0,2,1,38,407,410,197.5,127.25,197.5,127.25, ,0,Y,3,2,16020000,64051200,14321700,62352900,2005,0,0, , ,14.46,10,10,10,1,1008270001,0,58,986682,210459,8d, ,104 002,10306,E-66,1008270001,1/27/2010,1, , ,17V1.1,0,744.6670198,29329.65317,48031200,2,0,9452,9453,131,29475,38.00333405,43.70888901,5.705554962,38.1839413,0.903285797,5002.09631 +9453,MN,744,23,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,327 WEST 20 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,WADE L 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,3,N,5,1,102138,475744,9440,9440,1910,1986,0, , ,3.48,4,0,4,1,1007700067,0,87,984613,210141,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,233.1153027,2038.545084,373606,7,0,9455,9456,10,2250,22.20999908,24.75666618,2.546667099,22.46466579,0.76400013,224.6466579 +9456,MN,271,64,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,27 RUTGERS STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,RUTGERS REALTY (NY)CO,2386,11370,2000,9370,0,2000,0,0,0,0,2,1,6,20,22,25.25,94.5,25,85, ,2,N,5,2,124200,395550,0,0,1920,1977,0, , ,4.77,3.44,0,6.5,1,1002710064,0,6,987081,199020,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,242.0097074,2313.432858,271350,16,0,9456,9457,10,2250,17.21111107,26.28777695,9.076665878,19.77311096,3.919035764,197.7311096 +9457,MN,745,56,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,334 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CLONGOWS WOOD INC,4493,18612,0,18612,0,0,0,0,0,0,2,1,6,27,27,45.5,98.75,46,80, ,3,N,5,2,244800,1835100,2360,2360,1925,1986,0,Chelsea Historic District Extension, ,4.14,3,0,3,1,1007450056,0,89,984081,210727,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,282.4482768,4163.43736,1590300,7,0,9457,9458,18,4050,15.97222233,18.66777802,2.695555687,16.14280219,0.612476938,290.5704393 +9458,MN,557,8,102,61,3004,2,2,10003,E033,9,15,5700,1,2,3A,804 BROADWAY,C6-1, , , , , , , , , ,N,M3,8,0,X,GRACE CHURCH,7687,7548,7548,0,0,0,0,0,0,7548,2,1,3,0,1,51.25,150,51.25,52, ,0,N,5,5,1197000,2046150,1197000,2046150,1900,0,0, ,GRACE CHURCH RECTORY,0.98,3.44,6,6.5,1,1005570008,0,61,986773,206070,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,425.8065369,8492.454816,849150,8,0,9458,9459,36,8100,41.29888916,45.34111023,4.042221069,42.47656473,1.518187365,1529.15633 +9459,MN,93,29,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,47 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,M1,8,0,P,WALL STREET SYNAGOGUE,2345,7540,7540,0,0,7540,0,0,0,0,2,1,3,0,1,23.67,103.42,23,96, ,3,Y,5,2,302850,558450,302850,558450,1920,0,0, , ,3.22,10,10,10,1,1000930029,0,1501,982727,197938,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,253.0065269,2297.532264,255600,4,0,9459,9460,10,2250,24.9711113,25.50699997,0.535888672,25.4534111,0.160766602,254.534111 +9460,MN,770,54,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,224 WEST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,MONDIONE LLC,2927,11580,0,11580,0,0,0,0,0,0,2,1,5,16,16,27.5,106.42,28,93, ,3,Y,5,2,112500,1960200,0,0,1920,1974,2014, , ,3.96,4,0,4,1,1007700054,0,87,984838,210008,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,276.47571,3082.516455,1847700,7,0,9460,9461,14,3150,22.20999908,26.31222153,4.102222443,22.668793,1.088190393,317.363102 +9461,MN,77,24,101,15.02,1004,2,1,10038,E006,1,15,7700,1,1,1B,82 FULTON STREET,C6-4, , , , , ,LM, , , ,N,D7,4,0, ,33 BRE INC.,20890,159000,9000,150000,0,9000,0,0,0,0,2,1,8,196,205,102,219.75,97,220, ,3,Y,3,1,6210000,15020100,0,0,1900,1979,0, ,HISTORIC STREET LAMPPOSTS,7.61,10,10,10,1,1000770024,0,1502,982583,197552,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,621.980293,20781.72742,8810100,4,0,9461,9462,93,20925,25.46999931,27.04444504,1.574445724,25.53772935,0.282716806,2375.008829 +9462,MN,451,15,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,208 EAST 10 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,BEATRICE E PYATT,2306,5328,0,5328,0,0,0,0,0,0,2,1,4,5,5,25,92.25,25,54, ,3,N,5,5,113309,153777,0,0,1900,1989,0, , ,2.31,4,0,4,1,1004510015,0,40,988053,204986,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,239.6928156,2371.164398,40468,12,0,9462,9463,10,2250,23.10400009,25.17666626,2.072666168,23.66708889,0.81312068,236.6708889 +9463,MN,576,8,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,500 AVENUE OF THE AMER,C6-2, , , , , , , , , ,N,S4,4,0, ,SIXTH AVENUE EQUITIES,2000,4200,2000,2200,0,2000,0,0,0,0,2,1,4,4,5,20,100,20,100, ,3,N,5,5,254070,531726,0,0,1920,2005,0, , ,2.1,6.02,6,6.5,1,1005760008,0,63,985030,207544,12c, ,103 020,10207, ,1005760007,2/17/1988,1, , ,17V1.1,0,254.2250069,2277.220654,277656,8,0,9463,9464,9,2025,23.70299912,23.70299912,0,23.70299912,0,213.326992 +9464,MN,574,33,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,22 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,RED BRICK BUILDING LL,2021,4684,0,3445,0,0,0,0,0,0,2,1,3,1,1,21.33,94.75,21.33,46, ,3,N,5,1,68130,241245,0,0,1899,2013,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1005740033,0,63,985324,206783,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.1799147,2054.049685,173115,8,0,9464,9465,9,2025,24.13299942,29.92777824,5.794778824,26.449074,2.600695283,238.041666 +9465,MN,898,10,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,211 EAST 17 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,211 EAST 17 OWNERS IN,1380,3240,0,3240,0,0,0,0,0,0,2,1,4,10,10,15,92,15,54, ,3,N,5,2,56594,266113,0,0,1900,0,0,Stuyvesant Square Historic District, ,2.35,3,0,3,1,1008980010,0,48,988427,207084,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,220.8541489,1375.5407,209519,5,0,9465,9466,6,1350,22.7840004,28.39666748,5.612667084,25.1264445,2.388913019,150.758667 +9466,MN,522,10,102,55.02,2005,2,1,10012,L009,9,15,5700,1,2,2A,632 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,RENAISSANCE 632 BROAD,9817,150603,150603,0,117603,33000,0,0,0,0,2,1,12,0,22,50.17,196.33,50,190, ,3,N,4,1,4068000,17692200,0,0,1900,1980,2015,NoHo Historic District, ,15.34,0,5,6.5,1,1005220010,0,5502,985444,203785,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,510.3806127,10218.90483,13624200,9,0,9466,9467,45,10125,39.4944458,40.37099838,0.876552582,40.33546761,0.158136352,1815.096043 +9467,MN,898,24,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,243 EAST 17 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"PETTERSON, ERIC",2912,6496,0,6496,0,0,0,0,0,0,2,1,4,3,3,28,104,28,58, ,3,N,5,4,155828,439053,0,0,1925,1987,0,Stuyvesant Square Historic District, ,2.23,3,0,3,1,1008980024,0,48,988690,206945,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,271.3580753,2949.402929,283225,5,0,9467,9468,13,2925,22.7840004,25.67888832,2.894887924,23.51013697,1.129226375,305.6317806 +9468,MN,897,60,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,4 RUTHERFORD PLACE,R7B, , , , , , , , , ,N,M1,8,0,X,PROT EPIS CHUR ST GEO,2632,2632,2632,0,0,2632,0,0,0,0,2,1,1,0,0,28,94,28,94, ,0,N,5,5,228150,497700,228150,497700,1915,1964,0,Stuyvesant Square Historic District, ,1,3,0,3,1,1008970060,0,48,988473,206855,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,244.0082099,2668.063736,269550,5,0,9468,9469,12,2700,25.1044445,25.1044445,0,25.1044445,0,301.253334 +9469,MN,831,7,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,45 WEST 29 STREET,C6-4X,M1-6, , , , , , , , ,Y,O5,5,0, ,HYUNG HYANG REALTY CO,4938,25974,25974,0,21645,4329,0,0,0,0,2,1,6,0,15,50,98.75,50,97, ,3,Y,5,2,688500,2997450,0,0,1910,0,0, , ,5.26,10,10,10,1,1008310007,0,76,987193,211288,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,301.9112255,5062.518768,2308950,6,0,9469,9470,22,4950,41.16799927,41.16799927,0,41.16799927,0,905.6959839 +9470,MN,884,37,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,159 EAST 28 STREET,C2-8, , , , , , , , , ,N,K4,4,0, ,3 & 28 REALTY CORP,1687,3305,2280,1025,0,2280,0,0,0,0,2,1,3,2,4,34.17,49.33,34.17,30, ,3,N,5,2,159750,413550,0,0,1920,0,0, , ,1.96,10,2,10,1,1008840037,0,72,989465,209707,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,169.6482329,1727.340081,253800,11,0,9470,9471,7,1575,37.06100082,41.85889053,4.797889709,37.79512787,1.663190942,264.5658951 +9471,MN,898,50,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,208 EAST 18 STREET,R7B, , , , , , , , , ,N,A5,1,0,P,"CREED, JOHN",2144,5484,0,4113,0,0,0,0,0,0,2,1,3,1,1,46.5,92,23.25,59, ,3,N,5,1,132049,331776,0,0,1915,1984,0,Stuyvesant Square Historic District, ,2.56,3,0,3,1,1008980050,0,48,988434,207190,12c, ,102 036,10308, ,1008980050,11/21/2000,1, , ,17V1.1,0,234.8610286,2101.850985,199727,5,0,9471,9472,10,2250,22.7840004,27.65222168,4.868221283,24.64017792,2.183619532,246.4017792 +9472,MN,698,40,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,293 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K1,5,0, ,AHABEL REALTY INC,4937,5000,5000,0,0,5000,0,0,0,0,2,1,1,0,1,49.33,100,49.33,100, ,0,Y,3,2,607500,1532700,0,0,1938,0,0, , ,1.01,7.52,6,10,1,1006980040,0,99,983497,212592,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,318.8614806,4518.441177,925200,2,0,9472,9473,20,4500,12.97222233,13.84333324,0.871110916,13.27355561,0.163088269,265.4711123 +9473,MN,514,37,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,113 PRINCE STREET,M1-5A, , , , , , , , , ,N,D4,3,0,P,TRI PRINCE INC,9453,49170,3300,45870,0,3300,0,0,0,0,2,3,6,16,19,99.33,95,33,94, ,3,N,5,2,425250,6274800,11800,11800,1895,1987,0,SoHo-Cast Iron Historic District, ,5.2,0,5,6.5,1,1005140037,0,49,984366,203544,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,393.0572325,9655.359174,5849550,9,0,9473,9474,45,10125,22.59666634,22.59666634,0,22.59666634,0,1016.849985 +9474,MN,563,37,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,801 BROADWAY,C6-1, , , , , , , , , ,N,D0,3,0, ,CAST IRON CORP,16322,115000,12000,103000,0,12000,0,0,0,0,2,1,7,144,152,76.58,221.75,77,221, ,2,Y,3,2,1917000,15349950,209759,209759,1930,1975,0, , ,7.05,3.44,6,6.5,1,1005630037,0,61,986491,206315,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,669.6285542,17359.15545,13433000,8,0,9474,9475,77,17325,37.07600021,37.94644547,0.870445251,37.0873047,0.098550205,2855.722462 +9475,MN,307,15,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,291 GRAND STREET,C6-1G, , , , , , , , , ,N,L8,6,0,P,"291 GRAND OWNER, LLC",2713,10805,10805,0,0,8100,0,2705,0,0,2,1,4,0,4,36.17,75,36,75, ,3,N,3,2,297450,964350,0,0,1910,0,0, , ,3.98,3.44,6,6.5,1,1003070015,0,16,986418,200657,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,234.2183307,3069.842005,666900,13,0,9475,9476,14,3150,39.60333252,40.77444458,1.171112061,39.76261847,0.390745261,556.6766586 +9476,MN,418,55,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,278 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,LEYHAR RLTIES INC,2192,3909,3909,0,0,2000,0,1909,0,0,2,1,2,0,2,25,87.67,25,64, ,3,N,5,2,225000,364050,0,0,1880,1970,0, , ,1.78,4,4,4,1,1004180055,0,18,986306,200863,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,226.2893431,2164.589558,139050,13,0,9476,9477,10,2250,37.89666748,37.89666748,0,37.89666748,0,378.9666748 +9477,MN,883,51,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,390 3 AVENUE,C2-8, , , , , , , , , ,N,O5,5,0, ,MADISON ON THIRD CORP,1540,4011,4011,0,2561,1450,0,0,0,0,2,1,3,0,3,24.67,64.5,24.67,64.5, ,2,N,3,2,400500,1023300,0,0,1910,0,0, , ,2.6,10,2,10,1,1008830051,0,68,989463,209601,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,189.5199616,1825.438267,622800,11,0,9477,9478,8,1800,33.40789032,40.20999908,6.802108765,35.63619518,2.920909408,285.0895615 +9478,MN,3,10,101,319,1003,2,1,10004,L015,1,15,9000,1,1, ,1 SOUTH STREET,M1-4, , , , , ,LM, , , ,N,Z9, ,0,X,UNITED STATES AMERICA,123800,123800,123800,0,0,0,0,0,0,123800,2,2,3,0,1,362,177.33,37,227, ,1,Y,2,0,11070000,15523200,11070000,15523200,1960,0,0, , ,1,0,2,6.5,1,1000030010,0,319,980245,194640,12b, ,101S087,10101, ,0, ,1,1,1,17V1.1,0,1260.973616,42164.64144,4453200,17,1,9478,9479,158,35550,0,10.51777744,10.51777744,8.34835934,1.168093426,1319.040776 +9479,MN,274,4,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,53 MONROE STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,ABACUS 53 MONROE LLC,1955,9350,0,9350,0,0,0,0,0,0,2,1,5,17,17,25,100,25,88, ,2,Y,5,2,78750,589950,0,0,1900,1989,0, , ,4.78,3.44,0,6.5,1,1002740004,0,8,986036,198622,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,241.1098337,2057.294437,511200,16,0,9479,9480,10,2250,24.63366699,24.63366699,0,24.63366699,0,246.3366699 +9480,MN,906,49,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,210 EAST 26 STREET,R8B, , , , , , , , , ,N,D5,3,0, ,BERNIC ENTERPRISES LL,2469,6050,0,6050,0,0,0,0,0,0,2,2,3,9,9,25,98.75,25,42, ,2,N,5,2,136166,397895,0,0,1930,1986,2005, , ,2.45,4,0,4,1,1009060049,0,66,989460,208971,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,253.4827597,2489.494257,261729,11,0,9480,9481,10,2250,30.86333275,39.26888657,8.405553818,32.39419956,2.628012007,323.9419956 +9481,MN,5,7501,101,9,1017,2,1,10004,L015,1,15,7700, ,1, ,125 BROAD STREET,C5-5, , , , , ,LM, , , ,N,RB,5,0, ,125 BROAD CONDOMINIUM,54023,1024229,1024229,0,1024229,0,0,0,0,0,2,1,40,0,7,197.87,296.45,0,0, ,3,Y,3,5,30960001,135193050,2558534,11172353,1970,0,0, , ,18.96,10,15,15,1,1000057501,898,9,981309,195131,12b, ,101S002,10101, ,1000050001,5/16/1995,1,1,1,17V1.1,7,979.4669736,55990.23145,104233000,17,1,9481,9482,246,55350,6.155555725,13.41466618,7.259110451,8.148799317,2.604040171,2004.604632 +9482,MN,883,25,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,105 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,D7,4,0, ,SGRC 105,4933,41053,3000,38053,0,3000,0,0,0,0,2,1,12,50,51,49.33,100,44,72, ,1,N,5,2,1354500,4148100,0,0,1988,0,0, , ,8.32,6.02,6,6.5,1,1008830025,0,68,989122,209688,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,303.2804288,5019.673551,2793600,11,0,9482,9483,21,4725,33.40789032,35.88999939,2.48210907,33.56463623,0.547735161,704.8573608 +9483,MN,910,53,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,216 EAST 30 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"SCHARGEL, GAIL ELLEN",1852,3540,0,2634,0,0,0,0,0,0,2,1,3,2,2,18.75,98.75,18.75,48, ,2,N,5,1,91877,153446,0,0,1901,0,0, , ,1.91,3,0,3,1,1009100053,0,70,989995,209850,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,238.8084367,1944.106363,61569,10,0,9483,9484,8,1800,34.37666702,39.20999908,4.833332062,35.95083332,1.846479464,287.6066666 +9484,MN,620,59,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,76 CHARLES STREET,R6, , , , , , , , , ,N,C4,2,0, ,74-76 CHARLES REALTY,4750,16250,0,16250,0,0,0,0,0,0,2,2,6,48,48,50,95,25,53, ,3,N,5,2,585000,2713500,0,969421,1900,1982,2004,Greenwich Village Historic District, ,3.42,2.43,0,4.8,1,1006200059,0,73,983245,206922,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,300.9720732,5048.749884,2128500,8,0,9484,9485,23,5175,24.70777702,27.8255558,3.117778778,25.10101393,1.01640934,577.3233204 +9485,MN,283,85,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,127 DIVISION STREET,C6-2, , , , , , , , , ,N,O2,5,0, ,"CHU & MUI INDUSTRIES,",1561,2805,2805,0,2805,0,0,0,0,0,2,1,3,0,4,25,62.42,25,40, ,2,Y,5,2,67500,329400,0,0,1940,0,0, , ,1.8,6.02,6,6.5,1,1002830085,0,6,986600,199519,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,182.384283,1704.996423,261900,16,0,9485,9486,6,1350,32.80699921,38.28966904,5.48266983,34.5678889,2.492949745,207.4073334 +9486,MN,588,62,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,324 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,THE BLEECKER STREET L,1205,3600,800,2800,0,800,0,0,0,0,2,1,4,2,3,20,59.92,20,40, ,3,Y,5,0,44524,119784,0,0,1910,2009,0,Greenwich Village Historic District, ,2.99,3.44,2,6.5,1,1005880062,0,73,983048,206386,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,165.6790517,1256.73067,75260,9,0,9486,9487,5,1125,20.90555573,20.90555573,0,20.90555573,0,104.5277786 +9487,MN,413,14,103,18,6000,2,1,10002,L006,5,14,7400,1,3,2B,277 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"GOODMAN REALTY,",3850,19202,3600,15602,0,3600,0,0,0,0,2,1,6,25,32,44,87.5,44,87, ,3,N,3,2,247950,1098900,0,0,1900,1985,0, , ,4.99,4,4,4,1,1004130014,0,18,986680,200946,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,274.2634274,4245.378254,850950,13,0,9487,9488,19,4275,39.72000122,41.34666824,1.626667023,39.84567361,0.392378318,757.0677986 +9488,MN,374,6,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,64 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,66 AVENUE C HDFC,3991,16872,2500,14372,0,2500,0,0,0,0,2,1,6,16,18,48.08,83,48,66, ,3,N,5,2,180000,587700,180000,274791,1910,1989,0, , ,4.23,4,0,4,1,1003740006,0,2601,989901,202537,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,266.7575269,4098.157833,407700,1,1,9488,9489,17,3825,10.52222252,12.37777805,1.855555534,10.66172577,0.44579753,181.2493382 +9489,MN,16,7503,101,317.04,3000,2,1,10280,E010,1,15,8900,1,1, ,250 SOUTH END AVENUE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,HUDSON VIEW E CONDOMI,12644,86763,1052,85711,0,1052,0,0,0,0,2,1,17,109,110,121.83,103.78,0,0, ,0,N,5,5,2550166,16518604,2550166,16518604,1985,0,0, , ,6.86,0,0,0,1,1000167503,385,31704,979775,197857,12b, ,101S090,10101, ,1000160075,11/30/1987,1, , ,17V1.1,7,448.0047311,12463.11392,13968400,15,0,9489,9490,57,12825,12.9279995,14.90999985,1.982000351,13.52799191,0.724469987,771.0955391 +9490,MN,568,9,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,12 EAST 11 STREET,R7-2, , , , , , , , , ,N,B3,1,0,P,7 ROCKDALE LLC,1976,6163,0,6163,0,0,0,0,0,0,2,1,4,2,2,20.83,94.83,21,60, ,2,N,5,1,59334,545785,0,0,1900,2012,0,Greenwich Village Historic District, ,3.12,3.44,0,6.5,1,1005680009,0,61,985759,206542,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,236.8188121,2144.869151,486451,8,0,9490,9491,10,2250,30.95599937,33.71889114,2.762891769,31.89557743,1.077203572,318.9557743 +9491,MN,232,22,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,32 HOWARD STREET,M1-5B, , , , , , , , , ,N,E9,6,0, ,PUTNAM ROLLING LADDER,2997,12636,12636,0,0,0,0,12636,0,0,2,1,5,0,2,25.17,119.08,25,107,E,3,N,5,2,209250,646200,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,4.22,0,5,6.5,1,1002320022,0,45,984069,201529,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,304.8270639,3230.243377,436950,0,0,9491,9492,15,3375,14.35888863,14.35888863,0,14.35888863,0,215.3833294 +9492,MN,921,36,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,249 1 AVENUE,C1-7A, , , , , , , , , ,N,K1,5,0,P,SHACHNOW & FRANZBLAU,10531,10325,10325,0,0,10325,0,0,0,0,2,1,1,0,2,103.25,102,103,100, ,2,N,3,2,1372500,8794800,0,0,1950,1993,0, , ,0.98,6.02,2,6.5,1,1009210036,0,48,989091,205956,12c, ,102 037,10309,E-68,0, ,1, , ,17V1.1,0,416.0533113,10814.41487,7422300,5,0,9492,9493,48,10800,20.79222298,22.90500069,2.11277771,22.64566032,0.592739786,1086.991695 +9493,MN,11,11,101,9,1004,2,1,10004,L015,1,15,7700,1,1,1B,22 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,VERVELIS INC,1314,6000,6000,0,2400,3600,0,0,0,0,2,1,4,0,4,21.25,61.6,21,61, ,3,Y,4,2,205650,951300,0,0,1920,1989,0, , ,4.57,10,15,15,1,1000110011,0,9,980866,196061,12b, ,101S001,10101, ,0, ,1, , ,17V1.1,0,168.664937,1370.820331,745650,17,1,9493,9494,6,1350,10.96100044,10.96100044,0,10.96100044,0,65.76600266 +9494,MN,452,26,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,338 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,VILLAGE JV 338 EAST 1,2369,9125,1825,7300,0,1825,0,0,0,0,2,2,5,19,21,25,94.75,25,42, ,3,N,5,2,189900,1756800,0,0,1900,1987,0, , ,3.85,4,0,4,1,1004520026,0,40,988481,205035,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,241.1225928,2355.807488,1566900,12,0,9494,9495,10,2250,22.86222267,25.44666672,2.584444046,23.20162258,0.7863083,232.0162258 +9495,MN,617,32,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,102 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C5,2,0, ,"UNITED GREENWICH, LLC",1372,4789,0,4789,0,0,0,0,0,0,2,1,4,14,14,20.83,69.75,21,49,E,3,Y,5,2,146250,607050,0,0,1910,1987,0,Greenwich Village Historic District, ,3.49,3.44,2,6.5,1,1006170032,0,77,983753,208206,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,176.5033105,1343.591815,460800,8,0,9495,9496,6,1350,23.28222275,23.28222275,0,23.28222275,0,139.6933365 +9496,MN,879,7501,105,68,2000,2,2,10010,E016,13,14,5300,1,5, ,121 EAST 23 STREET,C6-4A,C6-2A, , , , , , , , ,Y,RM,4,0, , ,6160,96420,9110,87310,0,9110,0,0,0,0,2,1,21,95,96,56,110,0,0, ,0,N,0,5,770399,14083652,56573,199603,2004,0,0, , ,15.65,10,10,10,1,1008797501,1445,68,988333,208898,8d, ,104 005,10307, ,1008790011,9/7/2006,1, , ,17V1.1,7,337.6446273,6350.794905,13313300,11,0,9496,9497,27,6075,28.24111176,28.24111176,0,28.24111176,0,762.5100174 +9497,MN,418,53,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,282 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,ROMAN GRAND LLC,1461,4148,4148,0,1632,2516,0,0,0,0,2,1,2,0,2,16.67,87.67,17,64,E,3,N,5,2,157500,613800,0,0,1870,0,0, , ,2.84,4,4,4,1,1004180053,0,18,986349,200845,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,210.0611129,1433.391485,456300,13,0,9497,9498,6,1350,37.89666748,37.89666748,0,37.89666748,0,227.3800049 +9498,MN,888,55,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,142 EAST 33 STREET,R8B,C6-2A, , , , , , , , ,Y,D1,3,0, ,142 EAST 33RD ST RLTY,6056,26280,0,26280,0,0,0,0,0,0,2,1,6,48,48,56.25,98.75,56,82, ,3,Y,5,2,589500,2359800,0,0,1927,0,0, , ,4.34,4,0,4,1,1008880055,0,72,989826,210817,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,356.0219717,6318.349166,1770300,10,0,9498,9499,28,6300,24.35555458,28.30544472,3.949890137,24.60821738,0.917638765,689.0300865 +9499,MN,572,3,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,406 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K2,5,0, ,406-6TH AVE REALTY CO,1552,3984,3984,0,0,3984,0,0,0,0,2,1,3,0,3,20,77.58,20,77,E,3,N,5,2,349650,701550,0,0,1900,0,0,Greenwich Village Historic District, ,2.57,3.44,3.4,6.5,1,1005720003,0,63,984486,206583,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,205.2882866,1768.267632,351900,8,0,9499,9500,8,1800,18.57999992,18.96777725,0.387777328,18.72222209,0.10142984,149.7777767 +9500,MN,662,2,104,99,1020,2,3,10011,E003,10,15,5500,1,4,2B, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,279500,61840,61840,0,0,0,25340,0,0,36500,2,1,1,0,1,559,488,362,70, ,1,Y,2,0,3807000,9162900,3807000,9162900,1940,0,0, , ,0.22,0,2,0,1,1006620002,0,99,981421,212479,8b, ,105S061,10301, ,0, ,1,1,1,17V1.1,0,1853.812512,43005.08273,5355900,2,1,9500,9501,140,31500,0,11.17333317,11.17333317,1.794796799,1.635813509,251.2715518 +9501,MN,210,17,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,308 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,308 EQUITIES LLC,1230,5100,5100,0,3900,1200,0,0,0,0,2,1,4,0,2,18.92,71,19,71, ,3,Y,4,2,229950,563400,0,0,1910,0,0,Tribeca East Historic District, ,4.15,6.02,6,6.5,1,1002100017,0,33,983491,201476,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,183.4096687,1276.464549,333450,0,1,9501,9502,5,1125,12.33199978,12.33199978,0,12.33199978,0,61.65999889 +9502,MN,823,68,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,46 WEST 22 STREET,C6-4A, , , , , , , , , ,N,S5,4,0, ,"HANAN, JASON",2271,9661,1500,8161,0,1500,0,0,0,0,2,1,5,5,6,23.17,98.75,23,97,E,3,N,5,2,153940,875856,0,0,1910,2006,2013,Ladies' Mile Historic District, ,4.25,10,10,10,1,1008230068,0,58,986330,209481,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,247.8013027,2320.696215,721916,7,0,9502,9503,11,2475,33.74333191,35.8077774,2.064445496,33.93100877,0.593486352,373.2410965 +9503,MN,746,28,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,315 WEST 22 STREET,R7B, , , , , , , , , ,N,M1,8,0, ,ABRAHAM FELDSTEIN,5859,8583,8583,0,0,0,0,0,0,8583,2,1,2,0,1,59.33,98.75,59,96, ,3,N,5,2,598500,1154250,598500,1096650,1910,1987,0,Chelsea Historic District Extension, ,1.46,3,0,3,1,1007460028,0,93,984350,210757,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,316.325639,5789.782913,555750,2,0,9503,9504,25,5625,15.97222233,15.97222233,0,15.97222233,0,399.3055582 +9504,MN,857,76,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,243 5 AVENUE,C5-2, , , , , , , , , ,N,O4,5,0,P,245 FIFTH OWNER LLC,11100,258639,258639,0,247639,11000,0,0,0,0,2,1,24,0,73,86.83,125,86.83,125, ,0,Y,3,2,5850000,33628950,0,0,1927,2003,2013,Madison Square North Historic District, ,23.3,10,10,10,1,1008570076,0,56,987831,210469,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,467.8725019,12180.39806,27779000,11,0,9504,9505,55,12375,36.04399872,40.88000107,4.83600235,36.6450008,1.460626777,2015.475044 +9505,MN,796,7501,104,87,1001,2,3,10011,L012,13,15,5600,1,4, ,181 7 AVENUE,R8A,C6-3A, , ,C2-5, , , , , ,Y,RM,4,0, ,OWNER / AGENT,5940,35192,7221,27971,2704,3593,924,0,0,0,2,1,15,45,48,46,109.33,0,0, ,0,Y,5,5,983703,5318553,54731,57945,1987,0,0, , ,5.92,6,0,6,1,1007967501,393,87,985250,209760,8d, ,103 030,10305, ,1007960075,11/30/1987,1, , ,17V1.1,7,411.5057582,6159.86354,4334850,7,0,9505,9506,28,6300,28.3488884,29.74444389,1.395555496,28.43353919,0.310351698,796.1390972 +9506,MN,300,6,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,46 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,ONE ELDRIDGE CORP,2188,10080,1680,8400,0,1680,0,0,0,0,2,1,6,20,22,25,87.5,25,77, ,3,N,5,0,148500,567450,0,0,1930,1988,0, , ,4.61,3.44,6,6.5,1,1003000006,0,16,986224,200085,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,231.9841397,2305.385773,418950,13,0,9506,9507,10,2250,39.09000015,39.09000015,0,39.09000015,0,390.9000015 +9507,MN,239,24,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,114 BOWERY,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,"EASTFIELD REALTY, INC",2529,9200,9200,0,4600,4600,0,0,0,0,2,1,3,0,2,25,101.17,25,92, ,3,N,5,2,280800,1048050,0,0,1910,2003,0, , ,3.64,3.44,6,6.5,1,1002390024,0,41,985562,200951,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,262.0059548,2673.608124,767250,0,0,9507,9508,13,2925,31.48699951,35.53111267,4.044113159,31.79808514,1.077632225,413.3751068 +9508,MN,228,7,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,369 CANAL STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,TRIBECA ENTERPRISES C,3100,10549,10549,0,0,2739,0,0,7810,0,2,3,2,0,2,38.5,86.25,16.5,83, ,0,Y,5,5,184950,608400,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,3.4,0,5,6.5,1,1002280007,0,47,983090,202088,12a, ,101N045,10105, ,0, 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,17V1.1,0,240.3898867,2168.017096,122465,9,0,9512,9513,9,2025,18.94666672,18.94666672,0,18.94666672,0,170.5200005 +9513,MN,354,28,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,137 NORFOLK STREET,R7A,C4-4A, , , , , , , , ,Y,C4,2,0,P,ASIAN AMERICAN HOUSIN,2500,10299,0,10299,0,0,0,0,0,0,2,1,5,10,10,25,100,25,85, ,0,N,5,5,123476,478110,123476,478110,1920,1991,0, , ,4.12,4,0,4,1,1003540028,0,3001,987912,201622,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,260.3101509,2708.021153,354634,1,0,9513,9514,11,2475,28.01666641,28.01666641,0,28.01666641,0,308.1833305 +9514,MN,882,36,106,68,6001,2,2,10010,E016,13,14,5300,1,6,1B,147 EAST 26 STREET,R8B, , , , , , , , , ,N,O7,5,0, ,S B F CORP,4938,14814,14814,0,14814,0,0,0,0,0,2,1,3,0,3,50,98.75,50,98, ,3,N,5,2,990000,1894050,0,0,1945,0,0, , ,3,4,0,4,1,1008820036,0,68,989127,209332,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,305.4595925,5168.805447,904050,11,0,9514,9515,23,5175,31.85222244,31.85222244,0,31.85222244,0,732.6011162 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,0,Y,3,2,2295000,36020250,0,0,2005,0,0,Tribeca West Historic District, ,7.5,6.02,6,6.5,1,1001870016,0,39,981514,201537,12a, ,101S037,10105,E-61,0, ,1, , ,17V1.1,0,398.8679706,9941.879779,33725200,14,0,9525,9526,47,10575,14.18000031,17.89999962,3.719999313,17.43134718,1.049194317,819.2733173 +9526,MN,436,4,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4B,144 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,SANICOLA I FAMILY LIM,1000,3083,772,2311,0,772,0,0,0,0,2,1,4,3,4,16.67,60,17,44, ,3,N,5,5,74420,111016,0,0,1900,0,0, , ,3.08,4,0,4,1,1004360004,0,32,988476,204475,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,158.2065242,1112.697878,36596,12,0,9526,9527,4,900,17.84799957,17.84799957,0,17.84799957,0,71.39199829 +9527,MN,460,56,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,59 EAST 4 STREET,R8B, , , , , , , , , ,N,P5,8,0,P,"ARC ON 4TH STREET, IN",4809,32000,32000,0,32000,0,0,0,0,0,2,1,7,0,1,50,96.17,50,100, ,0,N,5,5,356850,1560150,267638,1170110,1920,0,0,East Village/Lower East Side Historic Di, ,6.65,4,0,4,1,1004600056,0,38,986801,204143,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,297.8289793,4931.344713,1203300,1,0,9527,9528,22,4950,35.65444565,35.65444565,0,35.65444565,0,784.3978043 +9528,MN,910,61,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,425 3 AVENUE,C2-8,R7B, , , , , , , , ,Y,D6,4,0, ,WOODYCREST REALTY LLC,8147,66403,5000,61403,0,5000,0,0,0,0,2,1,9,102,105,74.06,110,74,110, ,3,N,3,2,1363050,8843400,0,0,1967,2010,2010, , ,8.15,10,2,10,1,1009100061,0,70,989860,209939,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,377.3092253,8516.811625,7480350,10,0,9528,9529,38,8550,34.37666702,35.9366684,1.560001373,34.96516388,0.235731304,1328.676228 +9529,MN,769,50,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,220 WEST 20 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,GALLANT HOUSE INC,2154,8020,0,8020,0,0,0,0,0,0,2,1,5,13,13,25,85.92,25,78, ,3,Y,5,2,170100,858150,0,0,1920,1976,0, , ,3.72,4,0,4,1,1007690050,0,87,984745,209793,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,228.3179231,2135.528156,688050,7,0,9529,9530,10,2250,21.88888931,26.22888756,4.339998245,22.66077785,1.558664303,226.6077785 +9530,MN,913,43,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,240 EAST 33 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,SCHEINFELD ANDREW H,1852,5688,2308,3380,2308,0,0,0,0,0,2,1,4,1,2,18.75,98.75,18.75,45.75,E,3,N,5,5,214495,225220,1550,1550,1901,0,0, , ,3.07,4,0,4,1,1009130043,0,70,990565,210416,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,251.8587596,2082.053448,10725,10,0,9530,9531,10,2250,19.78333282,22.08555603,2.302223206,20.01355515,0.690666962,200.1355515 +9531,MN,306,27,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,83 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,"YEE, KIM HEM",2483,7485,1500,5985,0,1500,0,0,0,0,2,1,5,10,12,24.83,100,25,59, ,3,N,5,1,90000,311850,2360,2360,1900,0,0, , ,3.01,3.44,6,6.5,1,1003060027,0,16,986266,200582,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,256.4010296,2585.516352,221850,13,0,9531,9532,11,2475,37.59777832,39.96777725,2.369998932,38.42767646,0.939515769,422.7044411 +9532,MN,292,7,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,26 FORSYTH STREET,C6-1G, , , , , , , , , ,N,G6,10,0,P,SUN AND SON CORP,8340,945,945,0,0,0,945,0,0,0,2,2,1,0,2,197,87,20,47.25, ,0,Y,3,5,551250,802350,0,0,1952,0,0, , ,0.11,3.44,6,6.5,1,1002920007,0,16,985847,199734,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,472.3014201,8645.074494,251100,16,0,9532,9533,38,8550,39.91899872,45.20666885,5.287670136,42.84033886,1.617276567,1627.932877 +9533,MN,800,59,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,134 WEST 25 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,WEST 25TH STREET LLC,4061,26905,26905,0,24905,2000,0,0,0,0,2,1,7,0,7,50,81.33,50,78, ,3,Y,5,2,945000,3944250,0,0,1920,1985,0, , ,6.63,0,10,10,1,1008000059,0,91,986075,210561,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,268.8496444,4205.826244,2999250,2,0,9533,9534,20,4500,33.84199905,38.53688812,4.694889069,34.25695457,1.256754415,685.1390915 +9534,MN,464,13,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,206 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,206 E. 9TH STREET LLC,2808,11345,500,10845,0,0,0,500,0,0,2,1,5,10,10,42,75,42,64, ,3,Y,5,2,353078,715878,0,0,1900,1983,0, , ,4.04,4,0,4,1,1004640013,0,38,987315,205130,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,233.9480237,3017.380219,362800,12,0,9534,9535,13,2925,34.9980011,36.47777557,1.479774475,35.1118299,0.39431455,456.4537888 +9535,MN,181,5,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3A,18 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0,P,EIGHTEEN HARRISON MAN,1654,7800,7800,0,7800,0,0,0,0,0,2,1,5,0,6,18.75,87.75,19,83, ,3,Y,5,2,135900,573750,0,0,1915,1985,0,Tribeca West Historic District, ,4.72,6.02,6,6.5,1,1001810005,0,39,981554,201205,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,225.9091612,1872.641392,437850,14,0,9535,9536,9,2025,18.14299965,18.14299965,0,18.14299965,0,163.2869968 +9536,MN,593,22,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,399 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K2,5,0, ,SIXTH AVENUE OWNER LL,2534,4306,4306,0,0,4306,0,0,0,0,2,1,2,0,2,31.67,80,31.67,68, ,2,N,5,2,540000,1607850,0,0,1915,0,0,Greenwich Village Historic District, ,1.7,3.44,3.4,6.5,1,1005930022,0,71,984246,206510,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,232.1463252,2658.929414,1067850,8,0,9536,9537,12,2700,17.50333405,17.50333405,0,17.50333405,0,210.0400085 +9537,MN,791,13,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,147 WEST 15 STREET,R8B, , , , , , , , , ,N,D0,3,0, ,LA FABRIQUE OWNERS CO,6195,56967,5000,51967,0,5000,0,0,0,0,2,1,9,13,14,60,103.25,60,104,E,3,N,5,2,363150,5739750,0,0,1923,1987,0, , ,9.2,4,0,4,1,1007910013,0,81,984787,208523,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,335.1269758,6474.755537,5376600,7,0,9537,9538,29,6525,27.87888908,27.87888908,0,27.87888908,0,808.4877834 +9538,MN,612,64,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,41 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S4,4,0, ,"41 GREENWICH AVENUE,",1570,4884,1380,3504,0,1380,0,0,0,0,2,1,5,4,5,21,77.08,21,48,E,3,Y,5,5,182763,417033,0,0,1900,0,0,Greenwich Village Historic District, ,3.11,3.44,2,6.5,1,1006120064,0,71,984058,207205,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,193.5692268,1595.992565,234270,8,0,9538,9539,6,1350,21.78555489,22.74444389,0.958889008,21.94536972,0.357356834,131.6722183 +9539,MN,687,29,104,99,1025,2,3,10011,E003,10,15,5500,1,4,1B,85 10 AVENUE,M1-5, , , , , , , , , ,N,O6,5,0,P,85 TENTH AVENUE ASSOC,45950,540299,540299,0,530299,10000,0,0,0,0,2,1,11,0,1,206.5,262.42,206.5,262.42, ,0,Y,3,5,6750000,101145600,0,0,1914,2015,1999, , ,11.76,0,5,6.5,1,1006870029,0,99,982038,210112,8b, ,103 043,10301, ,0, ,1,1,1,17V1.1,0,911.8746993,50261.3115,94395600,7,1,9539,9540,224,50400,8.245555878,10.4911108,2.245554924,8.503269089,0.266359647,1904.732276 +9540,MN,162,51,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,11 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,NEW STAR REALTY CORP,2169,7500,1500,6000,0,1500,0,0,0,0,2,2,5,7,9,25.5,89,26,47, ,3,Y,5,5,90452,448344,0,0,1900,0,0, , ,3.46,3.44,6,6.5,1,1001620051,0,29,984840,199634,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,232.2042915,2302.766006,357892,14,0,9540,9541,10,2250,39.70399857,40.07022095,0.366222382,39.7406208,0.109866714,397.406208 +9541,MN,348,46,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,80 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,L8,6,0,P,JANE ARDSLEY FROCKS I,12870,31314,19314,12000,4500,4500,0,10314,0,0,2,2,5,0,11,50.17,200.67,50.17,200.67, ,0,Y,4,5,466650,2041650,0,0,1910,0,0, , ,2.43,4,0,4,1,1003480046,0,1402,988505,201054,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,570.774353,13173.5988,1575000,13,0,9541,9542,59,13275,23.08555603,24.8488884,1.763332367,23.15809835,0.304475629,1366.327803 +9542,MN,531,30,102,55.02,1000,2,1,10003,L009,9,15,5700,1,2,2A,34 EAST 4 STREET,M1-5B, , , , , , , , , ,N,C4,2,0, ,EAST FOURTH CORP,2405,9170,1850,7320,0,1850,0,0,0,0,2,1,5,16,17,25.33,94.92,25,87, ,3,N,5,2,51750,1246050,0,0,1910,1980,0,NoHo Historic District Extension, ,3.81,0,5,6.5,1,1005310030,0,5502,986369,204227,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,251.6943033,2551.366493,1194300,9,0,9542,9543,11,2475,41.26444626,42.92666626,1.662220001,41.41555717,0.477854652,455.5711288 +9543,MN,573,7501,102,63,3000,2,3,10011,E033,6,15,5700,3,2, ,59 WEST 9 STREET,R6, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2405,3800,0,3800,0,0,0,0,0,0,2,1,4,2,2,22,92,0,0, ,0,N,5,5,36745,368778,0,0,1900,1939,0,Greenwich Village Historic District, ,1.58,2.43,0,4.8,1,1005737501,34,63,984757,206704,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,7,232.9302601,2112.339653,332033,8,0,9543,9544,8,1800,18.98099899,18.98099899,0,18.98099899,0,151.8479919 +9544,MN,833,44,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,312 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,CIMANTOB REALTY CO LL,2480,15651,15651,0,11179,4472,0,0,0,0,2,1,7,0,7,24.67,100,25,100,E,3,N,5,2,508500,1757250,0,0,1920,0,0, , ,6.31,10,10,10,1,1008330044,0,76,988137,211454,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,249.892599,2434.103488,1248750,10,0,9544,9545,12,2700,41.76111221,41.76111221,0,41.76111221,0,501.1333466 +9545,MN,754,8,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,361 WEST 30 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,359-361 WEST 30TH STR,1777,3709,0,3709,0,0,0,0,0,0,2,1,3.5,6,6,18,98.75,18,44, ,3,N,5,1,70465,301860,2425,2425,1920,1973,0, , ,2.09,4,0,4,1,1007540008,0,103,984939,212825,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,251.6017294,1940.113227,231395,6,0,9545,9546,9,2025,33.70700073,33.70700073,0,33.70700073,0,303.3630066 +9546,MN,720,10,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,475 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,473 475 W 22ND ST TEN,3241,9839,0,9839,0,0,0,0,0,0,2,1,5,5,5,33.33,98.75,33,50, ,3,N,5,2,61785,605551,41112,41112,1900,1981,0,Chelsea Historic District Extension, ,3.04,3,0,3,1,1007200010,0,93,983182,211407,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,254.4713047,3109.227042,543766,2,1,9546,9547,14,3150,9.369999886,10.80000019,1.430000305,9.472142765,0.368281387,132.6099987 +9547,MN,772,6,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,277 WEST 22 STREET,C1-6A,R8B, , , , , , , , ,Y,S5,4,0,P,27577 WEST 22ND LLC,2074,5590,1800,3790,0,1800,0,0,0,0,2,1,4,5,6,21,98.75,21,98,E,3,N,5,5,58769,337776,0,0,1901,1961,0, , ,2.7,4,2,4,1,1007720006,0,91,984698,210564,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,237.8566458,1899.360026,279007,2,0,9547,9548,8,1800,22.16600037,22.16600037,0,22.16600037,0,177.3280029 +9548,MN,880,24,106,68,5001,2,2,10010,E016,13,14,5300,1,6,1B,49 LEXINGTON AVENUE,C5-2,C6-3,C2-8, , , , , , , ,Y,W6,8,0,X,DASNY,59843,785000,785000,0,0,0,0,0,0,785000,2,1,2,0,1,39.25,50,0,50, ,0,Y,5,5,11465550,83979000,11465550,83979000,2001,0,0, , ,13.12,10,10,10,1,1008800024,0,68,988851,208955,8d, ,104 005,10307, ,1008800024,1/6/1998,1, , ,17V1.1,0,1096.915176,70895.5331,72513400,11,0,9548,9549,315,70875,29.41222191,33.34111023,3.928888321,31.03266233,0.522863108,9775.288635 +9549,MN,76,7501,101,15.02,2001,2,1,10038,E006,1,15,7700,1,1, ,15 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,15 CLIFF STREET CONDO,10030,158477,15851,142626,0,1891,13960,0,0,0,2,1,30,156,157,60.17,150.5,60,90, ,0,Y,0,5,2317500,17581050,0,0,2000,0,0, , ,15.8,10,10,10,1,1000767501,1800,1502,982688,197356,12b, ,101S012,10102, ,1000760009,1/8/2008,1, , ,17V1.1,7,463.3120209,10430.39054,15263600,4,0,9549,9550,47,10575,17.40888786,29.90777779,12.49888992,19.03870903,2.334203473,894.8193245 +9550,MN,422,45,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,210 FORSYTH STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,210 FORSYTH ST,2500,8820,1100,7720,0,1100,0,0,0,0,2,1,5,8,10,25,100,25,88,E,3,N,5,2,159842,523669,159842,340664,1900,1987,0, , ,3.53,4,4,4,1,1004220045,0,3601,986959,202645,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,255.2821461,2620.248894,363827,1,0,9550,9551,11,2475,38.41600037,41.64777756,3.231777191,39.12985888,1.201902366,430.4284477 +9551,MN,824,41,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,182 5 AVENUE,C6-4M, , , , , , , , , ,N,K4,4,0, ,182 FIFTH AVENUE LLC,2830,9190,4930,4260,0,4930,0,0,0,0,2,1,4,2,5,28.25,100,28,100,E,3,N,5,2,927000,3129750,0,0,1920,1986,0,Ladies' Mile Historic District, ,3.25,10,10,10,1,1008240041,0,58,986987,209374,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,266.1070699,2916.716786,2202750,2,0,9551,9552,12,2700,34.46500015,34.46500015,0,34.46500015,0,413.5800018 +9552,MN,927,16,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,325 EAST 21 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,TRES ONE LLC,5000,21029,500,20529,0,500,0,0,0,0,2,1,6,36,39,50,100,50,87, ,3,N,5,2,293850,3106800,0,0,1970,0,0, , ,4.21,4,0,4,1,1009270016,0,64,989692,207504,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,313.5539414,5471.151266,2812950,5,0,9552,9553,26,5850,12.9244442,15.4800005,2.555556297,13.13846133,0.636838779,341.5999947 +9553,MN,202,11,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,28 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,28 ELIZABETH LLC,1404,4791,4791,0,3391,1400,0,0,0,0,2,1,4,0,4,24.92,56.25,25,56,E,3,N,5,2,224100,717750,0,0,1910,2002,2002, , ,3.41,3.44,6,6.5,1,1002020011,0,29,985084,200208,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,164.3475778,1418.175808,493650,14,0,9553,9554,6,1350,42.4090004,42.4090004,0,42.4090004,0,254.4540024 +9554,MN,463,17,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,16 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"16 SAINT MARKS PLACE,",3120,11908,2382,9526,0,2382,0,0,0,0,2,1,5,18,20,26,120,26,103,E,3,N,5,2,241650,1351350,0,0,1900,0,0, , 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AS,3336,8037,1500,6537,0,1500,0,0,0,0,2,2,4,3,5,39.25,85,39,85,E,3,N,5,5,394105,900678,0,0,1910,2012,0,Greenwich Village Historic District, ,2.41,3.44,0,6.5,1,1005920019,0,71,983997,206063,12c,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,249.0971263,3364.191209,506573,9,0,9572,9573,15,3375,17.50333405,17.50333405,0,17.50333405,0,262.5500107 +9573,MN,561,37,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,47 EAST 9 STREET,R7-2, , , , , , , , , ,N,D4,3,0, ,JEFFERSON TENANTS COR,18731,139566,0,139566,0,0,0,0,0,0,2,1,14,173,173,203,92.25,203,55, ,2,N,5,2,1543500,13217850,195847,195847,1964,1989,0, , ,7.45,3.44,0,6.5,1,1005610037,0,59,986249,205878,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,598.3342581,19267.93407,11674400,8,0,9573,9574,87,19575,32.25444412,35.21199799,2.957553864,32.30875826,0.365392346,2810.861969 +9574,MN,769,35,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,154 7 AVENUE,C6-3A, , , , , , , , , ,N,S3,4,0, ,152 SEVENTH AVENUE RE,1840,6370,1840,4530,0,1840,0,0,0,0,2,1,4,3,4,23,80,23,80, ,0,N,5,5,218400,551500,0,0,1901,0,0, , ,3.46,7.52,6,7.5,1,1007690035,0,87,984912,209577,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,204.2998764,1759.36794,333100,7,0,9574,9575,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +9575,MN,111,160,103,25,2000,2,1,10038,E009,5,14,7800,1,3,1A,86 CATHERINE STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,117191,111673,111673,0,0,0,0,0,0,111673,2,4,4,0,0,425,401.25,250,145, ,0,Y,5,5,7910550,18122400,7910550,18122400,1965,0,0, , ,0.95,3.44,0,6.5,1,1001110160,0,25,985074,198207,12d, ,101S027,10104, ,0, ,1,1,1,17V1.1,0,1669.047449,116229.3415,10211900,16,1,9575,9576,517,116325,7.195555687,12.79111099,5.595555305,8.677305865,1.083480564,4486.167132 +9576,MN,463,24,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,30 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"ST. MARKS ASSETS, INC",3120,14141,2357,11784,0,2357,0,0,0,0,2,1,6,24,25,26,120,26,103, ,3,N,5,1,315000,1458900,0,0,1900,1983,0, , ,4.53,4,0,4,1,1004630024,0,38,987417,204760,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,297.0030688,3190.688005,1143900,12,0,9576,9577,15,3375,34.15777969,35.74666595,1.588886261,34.36392771,0.525808438,515.4589157 +9577,MN,592,13,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,112 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,A4,1,0, ,112 WAPL LLC,1322,3562,0,2646,0,0,0,0,0,0,2,1,3,1,1,21,71,21,42, ,0,Y,5,1,47162,197852,0,0,1899,2008,2009,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1005920013,0,71,983902,206133,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,200.8098346,1564.551372,150690,9,0,9577,9578,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +9578,MN,753,74,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,360 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"JAROSZEWICZ, PAUL",1810,5424,0,5424,0,0,0,0,0,0,2,1,4,27,27,18.33,98.75,18,80, ,3,N,5,2,78750,298800,0,0,1905,0,0, , ,3,4,0,4,1,1007530074,0,97,984897,212675,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,237.192751,1834.894218,220050,6,0,9578,9579,7,1575,34.23199844,39.95222092,5.720222473,35.70780836,2.006171068,249.9546585 +9579,MN,611,69,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,139 WEST 10 STREET,R6, , , , , , , , , ,N,K4,4,0, ,CEM WEST 10TH STREET,2090,4224,2376,1848,0,2376,0,0,0,0,2,1,3,2,3,22,95,22,56,E,3,N,5,2,174150,617850,0,0,1880,2008,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006110069,0,71,984033,206974,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,243.8877132,2172.291066,443700,8,0,9579,9580,9,2025,19.84000015,19.84000015,0,19.84000015,0,178.5600014 +9580,MN,621,30,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,103 CHARLES STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,JOSEPH JACKSON,2729,10465,343,10122,343,0,0,0,0,0,2,1,5,20,21,28.5,95.75,29,82, ,3,N,5,2,549000,1792800,0,0,1901,1983,0,Greenwich Village Historic District, ,3.83,3.44,2,6.5,1,1006210030,0,73,982699,206959,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,250.7021911,2756.785964,1243800,9,0,9580,9581,11,2475,21.76222229,21.76222229,0,21.76222229,0,239.3844452 +9581,MN,348,19,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,159 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,"159RIVINGTON STREET,",2500,9550,2000,7550,0,2000,0,0,0,0,2,1,4,4,5,25,100,25,100, ,3,N,5,5,264578,385573,0,0,1910,1988,0, , ,3.82,4,0,4,1,1003480019,0,1402,988279,201222,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,256.0680255,2575.829044,120995,13,0,9581,9582,11,2475,24.76333427,26.48555565,1.722221375,24.91989985,0.495103834,274.1188984 +9582,MN,394,12,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,604 EAST 12 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,35035,72200,72200,0,0,0,0,0,0,72200,2,1,5,0,1,339.33,103.25,202,84, ,1,N,5,2,1413000,5233950,1413000,5233950,1940,0,0, , ,2.06,4,0,4,1,1003940012,0,28,990276,204339,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,885.6048691,35320.35095,3820950,12,1,9582,9583,156,35100,8.753333092,11.17111111,2.417778015,9.296744964,0.39282124,1450.292214 +9583,MN,522,43,102,55.02,2007,2,1,10012,L009,9,15,5700,1,2,1G,315 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K1,5,0,P,321 LAFAYETTE REALTY,1144,1000,1000,0,0,1000,0,0,0,0,2,1,1,0,1,27,48,48,26, ,2,Y,3,0,926550,1509300,0,0,1927,2006,2006, , ,0.87,0,5,6.5,1,1005220043,0,5502,985643,203486,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,140.9796181,1114.114228,582750,9,0,9583,9584,4,900,40.82555389,40.82555389,0,40.82555389,0,163.3022156 +9584,MN,583,45,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,16 ST LUKES PLACE,R6, , , , , , , , , ,N,C3,2,0, ,WADLEY ASSOCIATES,2182,3944,0,3944,0,0,0,0,0,0,2,1,3,4,4,22.08,100,22,52, ,3,Y,5,5,161324,270299,0,0,1910,1987,0,Greenwich Village Historic District, ,1.81,2.43,0,4.8,1,1005830045,0,67,982753,205346,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,244.6431419,2186.606663,108975,9,0,9584,9585,11,2475,15.38333321,19.68000031,4.296667099,16.37575756,1.425175349,180.1333332 +9585,MN,620,64,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,66 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,"LUTTRELL , STEVEN J",910,2880,0,2160,0,0,0,0,0,0,2,1,3,1,1,18.5,49.17,18.5,40, ,3,N,5,1,57571,209408,0,0,1899,2015,0,Greenwich Village Historic District, ,3.16,2.43,0,4.8,1,1006200064,0,73,983335,206964,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,146.7503219,1065.476555,151837,8,0,9585,9586,4,900,24.70777702,27.01555634,2.307779312,25.28472185,0.999297755,101.1388874 +9586,MN,899,19,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,233 EAST 18 STREET,R7B,R7-2, , , , , , , , ,Y,B9,1,0, ,"HERZOG, BRUCE CONRAD",2250,4638,0,3281,0,0,0,0,0,0,2,1,3,2,2,22.5,100,22.5,44,E,3,N,5,1,55645,179158,0,0,1899,0,0, , ,2.06,3,0,3,1,1008990019,0,48,988746,207191,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,250.8116875,2295.715656,123513,5,0,9586,9587,11,2475,22.06299973,24.37555504,2.312555313,23.09384814,0.968125324,254.0323296 +9587,MN,519,22,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,34 KING STREET,R6, , , , , , , , , ,N,A7,1,0, ,"BERGER, DAVID",2510,5447,0,5447,0,0,0,0,0,0,2,1,3,1,1,25,100.42,25,40, ,3,N,5,5,34273,401511,0,0,1900,1988,2015,Charlton-King-Vandam Historic District, ,2.17,2.43,0,4.8,1,1005190022,0,37,983110,204335,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,255.7200675,2548.815194,367238,9,0,9587,9588,10,2250,16.83888817,20.74222183,3.903333664,17.97833271,1.741198701,179.7833271 +9588,MN,485,7503,102,49,1008,2,1,10012,E055,1,15,6800,1,2, ,70 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2483,12495,3324,9171,0,3324,0,0,0,0,2,1,5,3,4,24.85,100,25,97, ,0,N,0,5,655881,1937515,0,0,1900,0,0, , ,5.03,0,5,6.5,1,1004857503,2311,49,984080,202734,12c, ,101N070,10206, ,1004850007,4/20/2012,1, , ,17V1.1,7,258.6097337,2673.874523,1281630,0,0,9588,9589,11,2475,17.71444511,17.71444511,0,17.71444511,0,194.8588963 +9589,MN,914,1,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,489 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,33RD STREET INVESTORS,4294,22718,6625,16093,0,6625,0,0,0,0,2,1,6,25,31,53,81,78,52,E,3,N,3,2,289800,3718350,0,0,1926,1986,2011, , ,5.29,10,2,10,1,1009140001,0,70,990280,210728,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,284.7055029,4888.513024,3428550,10,0,9589,9590,22,4950,19.1060009,24.77111053,5.665109634,21.97429371,0.859991057,483.4344616 +9590,MN,623,50,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,271 WEST 11 STREET,R6, , , , , , , , , ,N,C1,2,0, ,271 WEST 11TH STREET,2821,6740,0,6740,0,0,0,0,0,0,2,1,4,11,11,25.17,112,25,54,E,3,Y,5,1,355500,689400,0,0,1910,0,0,Greenwich Village Historic District, ,2.39,2.43,0,4.8,1,1006230050,0,77,983045,207532,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,275.1660215,2775.303626,333900,8,0,9590,9591,14,3150,22.60333252,27.80222321,5.198890686,24.35825362,2.001855281,341.0155506 +9591,MN,745,9,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,351 WEST 21 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,WEST 21 STREET REALTY,2074,2610,0,2610,0,0,0,0,0,0,2,1,3.5,7,7,21,98.75,21,46, ,3,N,5,1,48885,227908,0,0,1900,0,0,Chelsea Historic District, ,1.26,3,0,3,1,1007450009,0,89,983832,210749,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,246.2986204,2064.524991,179023,7,0,9591,9592,10,2250,15.97222233,18.08111191,2.10888958,16.70333347,0.903060439,167.0333347 +9592,MN,879,44,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,318 3 AVENUE,C2-8A, , , , , , , , , ,N,HH,5,0, ,ACE 318 CORP,2074,8296,2000,0,300,1700,0,0,0,0,2,1,4,0,5,24.69,84,24.88,84, ,3,N,3,2,186750,454950,0,0,1910,1968,0, , ,4,10,2,10,1,1008790044,0,68,988956,208705,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,228.7861432,2363.229344,268200,11,0,9592,9593,11,2475,26.06111145,29.82333374,3.76222229,26.95262649,1.48166204,296.4788914 +9593,MN,772,16,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,255 WEST 22 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,KATZ 36170 22ND STREE,3703,14922,0,14922,0,0,0,0,0,0,2,1,6,19,19,37.5,98.75,38,87, ,3,N,5,2,143100,1415700,0,0,1920,0,0, , ,4.03,4,0,4,1,1007720016,0,91,984895,210454,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,278.966277,3997.040785,1272600,2,0,9593,9594,17,3825,22.16600037,22.16600037,0,22.16600037,0,376.8220062 +9594,MN,826,29,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,13 WEST 24 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,15 WEST 24TH STREET C,5100,48991,4400,44591,0,4400,0,0,0,0,2,1,11,12,13,52,98.75,52,99,E,3,N,5,2,383850,5656950,7080,7080,1906,1981,1982, , ,9.61,0,10,10,1,1008260029,0,58,986965,209943,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,301.8024746,5142.81919,5273100,2,0,9594,9595,24,5400,33.45800018,35.68688965,2.228889465,33.62572241,0.559762643,807.0173378 +9595,MN,607,52,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,113 WEST 11 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"LOUIS, PETER A",2272,4776,0,4776,0,0,0,0,0,0,2,1,3,5,5,22,103.25,22,58,E,3,N,5,5,56737,220490,0,0,1915,1987,0,Greenwich Village Historic District, ,2.1,2.43,0,4.8,1,1006070052,0,71,984579,207375,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.8298145,2402.603651,163753,8,0,9595,9596,12,2700,21.80333328,24.20999908,2.406665802,22.06999985,0.681180647,264.8399982 +9596,MN,722,12,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,447 WEST 24 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"SMITH, SANFORD L",2057,3360,0,2520,0,0,0,0,0,0,2,1,3,2,2,20.83,98.75,20.83,53, ,3,N,5,1,58711,149110,0,0,1910,0,0, ,447 WEST 24TH STREET HOUSE,1.63,3,0,3,1,1007220012,0,93,983516,211852,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,246.2954238,2090.16466,90399,2,1,9596,9597,9,2025,10.68099976,11.81999969,1.138999939,10.8075553,0.357953147,97.26799774 +9597,MN,420,1,103,18,5000,1,1,10002,L020,5,14,7400,1,3,2A, CHRYSTIE STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,163046,3080,3080,0,0,0,0,0,0,3080,2,2,1,0,0,125.42,1300,99,95, ,0,N,3,5,9674550,11807100,9674550,11807100,1965,0,0, , ,0.02,0,0,0,1,1004200001,0,18,986592,202214,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,2850.457591,164750.2077,2132550,13,0,9597,9598,732,164700,39.82888794,44.88000107,5.051113129,42.21728602,1.08404897,30903.05337 +9598,MN,754,68,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,350 WEST 31 STREET,C6-3X, , , , , , , , , ,N,O6,5,0,P,APWU LOCAL 10 BLDG CO,7900,63200,63200,0,55300,7900,0,0,0,0,2,1,8,0,16,80,98.75,80,99, ,0,N,5,5,711000,4673700,0,0,1924,1989,0, , ,8,9,6,9,1,1007540068,0,103,985123,212845,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,368.916754,8330.367546,3962700,6,0,9598,9599,37,8325,33.70700073,37.42666626,3.719665527,34.12040607,1.072337396,1262.455025 +9599,MN,473,7501,102,45, ,2,1,10013,E055,5,15,6800,1,2, , BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,7445,62435,11646,48574,6154,5492,0,0,0,0,2,1,11,22,24,49.75,199.58,50,200, ,0,Y,0,5,828002,10888651,28222,28222,1904,0,0,SoHo-Cast Iron Historic District, ,8.39,0,5,6.5,1,1004737501,920,45,0,0,12c, ,101N073,10206, ,1004730008,12/10/1997,1, , ,17V1.1,7,521.9855379,7886.468813,10060600,0,0,9599,9600,35,7875,20.99799919,22.3955555,1.397556305,21.04253889,0.233590578,736.4888611 +9600,MN,474,7504,102,47,2012,2,1,10013,E055,1,15,6800,1,2, ,473 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5298,36495,8567,27928,0,4229,0,4338,0,0,2,1,8,13,14,26.23,200,26.23,200, ,0,Y,0,5,627749,11997450,4720,4720,1894,0,0,SoHo-Cast Iron Historic District, ,6.89,0,5,6.5,1,1004747504,1185,47,984046,202124,12c,Y,11N 070,10206, ,1004740036,3/29/2001,1, , 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,17V1.1,0,530.078105,16006.57019,18730400,9,0,9602,9603,71,15975,21.13288879,22.84600067,1.713111877,22.82187234,0.201872145,1620.352936 +9603,MN,848,7,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,7 EAST 19 STREET,M1-5M, , , , , , , , , ,N,S4,4,0, ,"SEVENEAST 19 LLC, A N",2300,11179,4255,6924,0,0,0,0,0,4255,2,1,5,4,5,25,92,25,92,E,3,N,5,2,193340,326643,0,0,1910,2015,0,Ladies' Mile Historic District, ,4.86,0,5,6.5,1,1008480007,0,52,986862,208507,8d, ,102 044,10306,E-381,0, ,1, , ,17V1.1,0,243.6455361,2363.222183,133303,7,0,9603,9604,11,2475,41.39699936,44.01889038,2.621891022,41.63535309,0.753740673,457.988884 +9604,MN,694,42,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,520 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,D4,3,0, ,"GUIDARA, WILLIAM",12125,95656,4225,91431,0,4070,0,0,0,155,2,1,15,107,110,122.5,98.75,8,10, ,0,N,5,5,540000,11029500,30680,30680,2003,0,0, , ,7.89,7.52,6,7.5,1,1006940042,0,99,982813,211724,8b, ,105S003,10301,E-92,0, ,1,1,1,17V1.1,0,442.2274717,12061.11528,10489500,2,1,9604,9605,55,12375,6.936999798,11.32222176,4.385221958,8.12693921,1.541409181,446.9816566 +9605,MN,420,47,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,41 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,I6,8,0,P,RIVINGTON STREET INVE,25010,150000,150000,0,0,0,0,0,0,150000,2,1,7,0,1,200,100,200,100, ,0,Y,3,5,1471500,10901250,0,0,1900,1994,0, , ,6,4,4,4,1,1004200047,0,18,986695,201851,12c, ,101N078,10204, ,1004200047,5/18/1993,1, , ,17V1.1,0,716.258205,26241.155,9429750,13,0,9605,9606,116,26100,40.18999863,43.4355545,3.245555878,42.16845937,0.466063649,4891.541286 +9606,MN,412,62,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,179 ESSEX STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,179-181 ESSEX LLC,1250,4872,900,3972,0,0,0,0,0,900,2,1,4,6,8,50,25,50,25, ,2,N,5,2,40430,118157,0,0,1900,0,0, , ,3.9,6.02,6,6.5,1,1004120062,0,3001,987946,202293,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,157.5070426,1408.296936,77727,1,0,9606,9607,6,1350,30.23399925,30.23399925,0,30.23399925,0,181.4039955 +9607,MN,719,20,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,433 WEST 21 STREET,R7B, , , , , , , , , ,N,D7,4,0, ,"433 WEST ASSOCIATES,",8381,63956,828,63128,828,0,0,0,0,0,2,1,13,69,70,84.83,98.75,85,70,E,3,N,5,2,341550,5675850,0,0,1930,1988,0,Chelsea Historic District, ,7.63,3,0,3,1,1007190020,0,89,983273,211060,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,375.8536297,8754.002902,5334300,7,1,9607,9608,37,8325,9.307999611,15.71888924,6.410889626,10.20804176,1.701579887,377.6975451 +9608,MN,460,33,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,244 EAST 5 STREET,R7A, , , ,C2-5, , , , , ,N,C0,2,0, ,"YAMAOKA, CARRIE",1620,3760,0,2720,0,0,0,0,0,0,2,1,3,3,3,20,80.67,20,42,E,3,Y,5,1,28320,80844,1550,1550,1899,0,0,East Village/Lower East Side Historic Di, ,2.32,4,0,4,1,1004600033,0,38,987147,204075,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,204.63681,1631.650637,52524,1,0,9608,9609,8,1800,35.65444565,36.70222092,1.047775269,35.78541756,0.346519099,286.2833405 +9609,MN,871,82,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,34 UNION SQUARE,C6-4,C6-2A, , , , ,US, , , ,Y,K2,5,0, ,"34 USE OWNER, LLC",3250,6500,6500,0,0,6500,0,0,0,0,2,1,2,0,1,26,125,26,125, ,2,N,3,2,724500,2365650,0,0,1953,1984,0, , ,2,10,10,10,1,1008710082,0,50,987256,207324,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,313.3139876,3652.493692,1641150,7,0,9609,9610,17,3825,37.98099899,41.74777603,3.766777039,39.22450907,1.5253494,666.8166542 +9610,MN,276,31,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,116 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,BRJ REALTY INC.,2583,12125,1250,10875,0,1250,0,0,0,0,2,1,6,10,11,25.33,100,25,52, ,3,Y,5,2,112500,702450,0,0,1900,1989,0, , ,4.69,3.44,0,6.5,1,1002760031,0,8,985693,198697,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,260.6227692,2735.37974,589950,16,0,9610,9611,14,3150,23.59300041,32.19889069,8.605890274,25.56450054,3.177604569,357.9030075 +9611,MN,908,5,106,66,2001,2,2,10016,E016,13,14,5800,1,6,2A,383 3 AVENUE,C2-8, , , , , , , , , ,N,K2,5,0, ,THIRD 28TH LLC,1450,1801,1801,0,0,1801,0,0,0,0,2,1,2,0,1,20.33,70,20.33,40,E,2,N,5,2,206100,974250,0,0,1930,2007,0, , ,1.24,10,2,10,1,1009080005,0,66,989559,209434,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,183.3282399,1450.597997,768150,11,0,9611,9612,7,1575,39.05888748,42.16777802,3.108890533,39.5030147,1.087885068,276.5211029 +9612,MN,31,34,101,7,1018,2,1,10005,L015,1,15,7700,1,1, ,90 WATER STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,HUNTERS KEY LLC,979,6487,6487,0,5527,960,0,0,0,0,2,1,7,0,2,22.67,42.83,23,43, ,3,Y,5,2,125550,671850,0,0,1920,2012,2012, , ,6.63,10,15,15,1,1000310034,0,7,981905,196008,12b, ,101S006,10101, ,0, ,1,1,1,17V1.1,0,133.9375069,1040.465866,546300,17,1,9612,9613,5,1125,11.02099991,11.02099991,0,11.02099991,0,55.10499954 +9613,MN,884,84,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1A,415 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O4,5,0, ,PARK AVE SOUTH ASSOC.,9675,160114,160114,0,148670,9100,0,2344,0,0,2,1,20,0,58,60.75,132.92,60.75,132.92,E,3,Y,3,2,4995000,17722800,0,0,1927,2013,0, , ,16.55,10,10,10,1,1008840084,0,72,988862,210198,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,472.2656275,10124.01536,12727800,11,0,9613,9614,44,9900,32.07600021,40.06777954,7.991779327,32.85611127,2.19987853,1445.668896 +9614,MN,74,1,101,15.02,2012,2,1,10038,E006,1,15,7700,1,1, ,89 SOUTH STREET,C5-3, , , , , ,LM, , , ,N,K9,5,0,C,PARKS AND RECREATION,47539,125500,89305,36195,0,2400,0,0,0,3600,2,19,5,32,47,195.17,249.33,20,60, ,0,Y,3,2,4477500,16122150,4477500,16122150,1980,1983,0,South Street Seaport Historic District,159-163 JOHN STREET BUILDING,2.64,10,15,15,1,1000740001,0,1502,983191,196622,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,915.2134547,48749.58611,11644700,4,1,9614,9615,218,49050,5.993332863,6.282222271,0.288889408,5.997303311,0.029991316,1307.412122 +9615,MN,530,62,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,358 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D4,3,0,P,8 FEE OWNER LLC,6477,32227,2768,29459,0,2768,0,0,0,0,2,2,7,11,13,100.49,68.92,69,100, ,3,Y,3,0,484650,4896450,0,0,2014,0,0,NoHo Historic District, ,4.98,0,5,6.5,1,1005300062,0,5502,985856,204122,12c, ,103 009,10207, ,1005300062,8/21/2012,1, , ,17V1.1,0,340.4112119,6862.368523,4411800,9,0,9615,9616,31,6975,40.02500153,43.39666748,3.371665955,40.96281458,1.387796641,1269.847252 +9616,MN,773,44,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,232 7 AVENUE,C6-3X, , , , , , , , , ,N,D7,4,0,P,"KARMELENA REALTY CO.,",4721,53135,3043,50092,0,3043,0,0,0,0,2,3,16,49,50,59.01,80,59,70, ,3,N,5,0,661500,1822428,0,0,2015,0,0, , ,11.26,9,6,9,1,1007730044,0,91,985460,210562,8d, ,105S009,10304,E-54,1007730044,7/30/2012,1, , ,17V1.1,0,278.2076704,4737.183963,1160930,2,0,9616,9617,22,4950,23.38899994,23.79244423,0.40344429,23.40733832,0.084037,514.9614429 +9617,MN,883,73,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,114 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,L8,6,0, ,114 LEX REALTY CORP,1521,4188,2170,2018,0,1300,0,0,0,870,2,1,4,3,4,19.75,77,19.75,52, ,3,N,5,2,136800,561150,0,0,1940,1972,2008, , ,2.75,6.02,6,6.5,1,1008830073,0,68,989006,209809,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,201.9076581,1676.289421,424350,11,0,9617,9618,8,1800,33.29444504,35.10033417,1.80588913,33.64018106,0.635075447,269.1214485 +9618,MN,341,26,103,14.02,2007,1,1,10002,L018,7,14,7400,1,3,2B,440 GRAND STREET,R8, , , , , , , , , ,N,M1,8,0,P,R C CHRUCH OF ST MARY,26370,23242,23242,0,0,0,0,0,0,23242,2,2,4,0,1,159.67,150,65,150, ,1,Y,3,1,1017000,2599650,1017000,2599650,1920,0,0, , ,0.88,6.02,0,6.5,1,1003410026,0,1402,988344,200090,12c,Y,101N081,10201, ,0, ,1, , ,17V1.1,0,715.3146551,27618.37995,1582650,13,0,9618,9619,125,28125,29.64666557,41.91444397,12.2677784,35.00554282,4.010800953,4375.692852 +9619,MN,719,2,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,471 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,ADAM H SEESSEL,1945,2573,0,2573,0,0,0,0,0,0,2,1,3,2,2,20,97.25,20,40,E,3,N,5,2,54510,167802,0,0,1920,2000,0,Chelsea Historic District, ,1.32,3,0,3,1,1007190002,0,89,982943,211242,8b, ,103 042,10302, ,0, ,1,1,1,17V1.1,0,242.4254016,2038.414574,113292,7,1,9619,9620,8,1800,9.137777328,9.307999611,0.170222282,9.286721826,0.056295728,74.2937746 +9620,MN,407,6,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,220 AVENUE A,C1-6A, , , , , , , , , ,N,C4,2,0,P,"220 AVE A PARTNERS, A",2472,14976,0,14976,0,0,0,0,0,0,2,2,5,16,16,25.75,96,26,45, ,3,N,5,2,225000,1301850,0,0,1900,1982,0, , ,6.06,4,2,4,1,1004070006,0,34,989714,205244,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,246.2444185,2540.942228,1076850,12,1,9620,9621,12,2700,11.62699986,18.17333412,6.546334267,13.93635194,2.880175262,167.2362232 +9621,MN,387,43,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,287 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,MASON DAVID ASSOCIATE,2116,6271,0,6271,0,0,0,0,0,0,2,1,5,9,9,22,96.17,0,0, ,0,N,5,5,173574,771048,0,0,2001,0,0, , ,2.96,4,0,4,1,1003870043,0,2601,989616,202586,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,236.2317761,2114.551502,597474,1,1,9621,9622,9,2025,11.63300037,13.30555534,1.67255497,11.96579043,0.62803488,107.6921139 +9622,MN,516,1,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,163 PRINCE STREET,R7-2, , , , , , , , , ,N,C6,2,0,P,124 THOMPSON OWNERS C,4142,20885,2425,18460,1225,1200,0,0,0,0,2,1,6,33,35,43.58,95,43,93,E,2,N,3,2,225000,2765250,18880,18880,1920,0,0,Sullivan-Thompson Historic District, ,5.04,3.44,0,6.5,1,1005160001,0,49,983883,203857,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,287.8601439,4541.32284,2540250,9,0,9622,9623,20,4500,17.67111206,18.35544395,0.684331894,17.70532866,0.149146678,354.1065731 +9623,MN,67,30,101,15.02,1006,2,1,10038,E004,1,15,7700,1,1, ,44 JOHN STREET,C5-5, , , , , ,LM, , , ,N,M1,8,0,X,JOHN STREET UNITED ME,3423,3144,3144,0,3144,0,0,0,0,0,2,1,1,0,1,42.5,84.5,42,77, ,3,Y,5,2,540000,821250,540000,821250,1900,1986,0, ,JOHN STREET METHODIST CHURCH,0.92,10,15,15,1,1000670030,0,1502,981991,197619,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,255.8336722,3667.272964,281250,4,0,9623,9624,16,3600,21.29899979,31.55111122,10.25211143,23.11793041,3.79696111,369.8868866 +9624,MN,912,52,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,224 EAST 32 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"BIENSTOCK, ELLEN S",1646,3280,0,3280,0,0,0,0,0,0,2,1,4,3,3,16.67,98.75,16.67,50, ,3,N,5,2,113181,175516,0,0,1901,0,0, , ,1.99,3,0,3,1,1009120052,0,70,990308,210267,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,234.9966959,1650.527199,62335,10,0,9624,9625,6,1350,26.45000076,26.45000076,0,26.45000076,0,158.7000046 +9625,MN,620,74,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,195 WEST 10 STREET,R6, , , , , , , , , ,N,C1,2,0, ,195-97 WEST 10TH STRE,4441,18408,0,18408,0,0,0,0,0,0,2,1,6,30,30,46.75,95,47,80, ,3,N,5,2,450000,1659600,0,0,1921,1983,0,Greenwich Village Historic District, ,4.15,2.43,0,4.8,1,1006200074,0,73,983238,206820,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,286.8705018,4506.000801,1209600,9,0,9625,9626,21,4725,24.70777702,24.70777702,0,24.70777702,0,518.8633175 +9626,MN,875,56,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,24 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,D4,3,0, ,24 GRAMERCY PARK INC,5800,49015,0,49015,0,0,0,0,0,0,2,1,12,18,18,51,105,51,87, ,3,Y,5,2,630000,5115150,4720,4720,1935,0,0,Gramercy Park Historic District, ,8.45,3,0,3,1,1008750056,0,50,988206,207861,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,365.2974743,6235.80848,4485150,5,0,9626,9627,28,6300,25.84222221,29.12111092,3.278888702,26.09599209,0.766353466,730.6877785 +9627,MN,76,28,101,15.02,2000,2,1,10038,E006,1,15,7700,1,1,1A,70 FULTON STREET,C6-4, , , , , ,LM, , , ,N,K9,5,0,P,76 FULTON ST LLC,4897,14691,14691,0,0,4848,0,0,0,9843,2,1,3,0,4,68.83,76.58,69,76, ,2,Y,3,2,576000,2342700,0,0,1900,0,0, , ,3,10,10,10,1,1000760028,0,1502,982712,197540,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,289.8289519,5234.58376,1766700,4,0,9627,9628,22,4950,24.20700073,25.27300072,1.065999985,24.29453096,0.278537239,534.479681 +9628,MN,507,21,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,268 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,260 ELIZABETH STREET,2174,7825,1640,6185,0,1640,0,0,0,0,2,1,5,10,12,24.67,87.83,25,68, ,3,N,5,2,58050,1616850,0,0,1920,2016,0, , ,3.6,6.02,6,6.5,1,1005070021,0,43,986094,203082,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,222.0323068,2133.357292,1558800,9,0,9628,9629,10,2250,44.71333313,44.71333313,0,44.71333313,0,447.1333313 +9629,MN,746,63,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,338 WEST 23 STREET,C1-6A, , , , , , , , , ,N,S2,4,0, ,ALAN MANOCHERIAN,2469,5400,2700,2700,0,0,0,0,0,2700,2,1,3,2,3,25,98.75,25,54, ,3,N,5,1,127129,185396,0,0,1901,1998,2010, , ,2.19,4,2,4,1,1007460063,0,93,984218,210948,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,261.8123744,2636.346763,58267,2,0,9629,9630,12,2700,15.97222233,18.92666626,2.954443932,16.55361112,0.819367504,198.6433334 +9630,MN,695,7502,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,521 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,RM,4,0, , ,4938,36866,19988,16878,19988,0,0,0,0,0,2,1,10,7,14,5,98.75,29,97, ,0,N,0,5,965700,7003351,2360,2360,1914,0,0, , ,7.47,7.52,6,7.5,1,1006957502,1019,99,982901,211900,8b, ,105S003,10301, ,1006950024,12/29/1998,1,1,1,17V1.1,7,301.8722453,4997.265717,6037650,2,1,9630,9631,21,4725,8.416999817,8.416999817,0,8.416999817,0,176.7569962 +9631,MN,10,23,101,9,1026,2,1,10004,L015,1,15,7700,1,1, ,1 WHITEHALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,ONE WHITEHALL L P,18729,321994,321994,0,307948,14046,0,0,0,0,2,1,21,0,41,121.75,167.25,122,162, ,3,Y,3,2,7200000,23969250,0,0,1962,1989,0, , ,17.19,10,15,15,1,1000100023,0,9,980713,195693,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,606.5907333,20516.58709,16769300,17,1,9631,9632,83,18675,9.789999962,12.16777802,2.377778053,9.81864789,0.259418025,814.9477749 +9632,MN,609,7501,102,71,1000,2,3,10011,Q018,6,15,6100,3,2, ,147 WEST 13 STREET,R6, , , , , , , , , ,N,RM,4,0, ,UNION LANE HOUSE,2005,5620,420,5200,420,0,0,0,0,0,2,1,3,5,6,20,100.25,0,0, ,0,N,0,5,57366,419310,0,0,1900,0,0,Greenwich Village Historic District, ,2.8,2.43,0,4.8,1,1006097501,959,71,984501,208025,12c, ,100 000,10209, ,1006090069,2/26/1997,1, , ,17V1.1,7,253.8536525,2170.327309,361944,8,0,9632,9633,10,2250,26.342556,30.55766678,4.215110779,27.85253353,1.154788011,278.5253353 +9633,MN,774,19,104,91,2002,2,3,10011,E001,10,15,5200,1,4,2A,233 WEST 24 STREET,R8A, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,39500,400000,400000,0,400000,0,0,0,0,0,2,1,11,0,2,200,197.5,200,198, ,3,N,4,2,5535000,24592500,5535000,24592500,1938,0,0, , ,10.13,6,0,6,1,1007740019,0,91,985259,210946,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,808.9012564,40891.04994,19057500,2,0,9633,9634,182,40950,24.85199928,34.27000046,9.418001175,25.0115573,1.085423491,4552.103428 +9634,MN,303,22,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,67 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,K1,5,0, ,PATBOY REALTY CORP,2167,1817,1817,0,0,1817,0,0,0,0,2,1,1,0,1,25.67,84.42,26,84, ,3,N,5,0,59400,189000,0,0,1940,0,0, , ,0.84,3.44,6,6.5,1,1003030022,0,16,985682,200437,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,226.9836877,2290.943668,129600,0,0,9634,9635,10,2250,40.51666641,41.4129982,0.896331787,41.30849838,0.26763973,413.0849838 +9635,MN,218,7504,101,39,1015,2,1,10013,L008,1,15,7700,3,1, ,415 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, ,THE FAIRCHILD & FOSTE,9300,45838,0,45838,0,0,0,0,0,0,2,1,9,20,20,0.21,0,115,80, ,1,Y,0,5,746103,7162653,0,2710652,2010,0,0, , ,4.93,6.02,6,6.5,1,1002187504,2104,39,981410,202536,12a, ,101N040,10105, ,1002180006,10/27/2011,1,1,1,17V1.1,7,394.7839779,9370.794109,6416550,0,1,9635,9636,43,9675,7.816666603,9.841111183,2.02444458,7.871878491,0.308392811,338.4907751 +9636,MN,435,4,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,122 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,122 FIRST AVENUE LLC,2287,6809,1900,4909,0,1900,0,0,0,0,2,1,5,8,9,24.33,94,24,50, ,3,N,5,2,33148,262801,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.98,4,0,4,1,1004350004,0,32,988326,204170,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,242.8907433,2474.626801,229653,12,0,9636,9637,10,2250,20.24200058,26.29000092,6.048000336,22.47931175,2.747743687,224.7931175 +9637,MN,896,21,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,243 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,C7,4,0, ,MARISOL REALTY CORP,2709,9164,1833,7331,0,1833,0,0,0,0,2,1,5,8,9,26.17,103.25,26,103,E,2,Y,5,2,86876,599508,0,0,1929,0,0, , ,3.38,4,2,4,1,1008960021,0,48,988346,206247,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,267.8345547,2828.453191,512632,12,0,9637,9638,12,2700,26.69333267,29.86800003,3.174667358,29.07433319,1.37467129,348.8919983 +9638,MN,80,4,101,13,1008,2,1,10007,L010,1,15,7700,1,1, ,55 CHURCH STREET,C5-5, , , , , ,LM, , , ,N,H1,5,0, ,CDL (NEW YORK) LIMITE,18044,383166,7700,0,0,1000,6700,0,0,0,2,1,58,0,3,71.17,156.58,71.17,156.58, ,0,Y,3,5,17010000,57465000,0,0,1961,2002,2012, , ,21.24,10,15,15,1,1000800004,0,13,981417,198389,12b, ,101S019,10102, ,1000800012,1/9/1985,1, , ,17V1.1,0,637.7745199,19452.90019,40455000,3,0,9638,9639,87,19575,26.14777756,30.09555626,3.947778702,28.21601252,0.67006596,2454.793089 +9639,MN,260,70,103,2.02,3000,1,2,10002,E015,7,14,8000,1,3,1B,656 WATER STREET,R7-2, , , , , , , , , ,N,Q1,9,0,O,NYC CITY HSG AUTRHORI,34773,100,100,0,0,0,0,0,0,100,2,1,1,0,1,52.75,660.42,10,10, ,0,N,4,5,1057500,1261800,1057500,1261800,1910,0,0, , ,0,3.44,0,6.5,1,1002600070,0,202,989234,198828,12d, ,101N059,10106, ,0, ,1, , ,17V1.1,0,1447.357615,35543.2277,204300,13,0,9639,9640,157,35325,17.88222122,32.97555542,15.0933342,24.99362481,4.6761952,3923.999096 +9640,MN,520,56,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,47 KING STREET,R6,M1-6, , , , ,HSQ, , , ,Y,C6,2,0, ,47 49 KING ST HOUSING,5004,9924,0,9924,0,0,0,0,0,0,2,3,3,13,13,50,100.08,20,40, ,0,N,5,5,270450,887850,7080,7080,1900,1968,0,Charlton-King-Vandam Historic District, ,1.98,2.43,0,4.8,1,1005200056,0,37,982919,204524,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,307.4803852,5244.495013,617400,9,0,9640,9641,25,5625,16.76099968,19.16666794,2.405668259,17.20133766,0.872385866,430.0334415 +9641,MN,615,50,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,29 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,CASA OAXACA L.L.C.,2500,3890,0,3890,0,0,0,0,0,0,2,1,3,1,1,25,100,25,62,E,3,N,5,5,141087,392930,0,0,1915,2010,0,Greenwich Village Historic District, ,1.56,2.43,0,4.8,1,1006150050,0,77,983411,207839,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,258.1845614,2513.824814,251843,8,0,9641,9642,11,2475,23.05999947,25.84555435,2.785554886,23.94999955,1.101562275,263.449995 +9642,MN,458,42,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,14 EAST 2 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,"LEACH, ELENA A",1650,3680,0,3680,0,0,0,0,0,0,2,1,3,3,3,25,66.5,25,56,E,2,N,5,1,21248,52970,0,0,1900,0,0, , ,2.23,4,0,4,1,1004580042,0,3602,986705,203581,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,183.6017343,1627.052055,31722,1,0,9642,9643,7,1575,39.70333481,39.90222168,0.198886871,39.7893655,0.053827395,278.5255585 +9643,MN,608,58,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,133 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,133 WEST 12TH STREET,2315,5188,0,3891,0,0,0,0,0,0,2,1,3,1,1,22.42,103.25,22.42,44,E,3,N,5,1,78851,265572,0,0,1899,0,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1006080058,0,71,984576,207678,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,263.2698885,2612.396234,186721,8,0,9643,9644,12,2700,24.04400063,25.08600044,1.041999817,24.13083394,0.287993535,289.5700073 +9644,MN,402,54,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,523 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,2272,7268,0,7268,0,0,0,0,0,0,2,1,5,5,5,25,90.83,25,54.83,E,0,N,5,5,45072,105916,0,60460,1900,1993,0, , ,3.2,3,0,3,1,1004020054,0,32,989062,203468,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,237.4230036,2372.74696,60844,1,0,9644,9645,11,2475,12.85000038,17.01555443,4.165554047,14.26151527,1.620479548,156.876668 +9645,MN,619,14,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,242 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,240 242 W 10 ST CORP,2375,9480,1800,7680,0,1800,0,0,0,0,2,1,6,22,24,25,95.83,25,69, ,3,Y,5,2,292500,1059750,0,0,1901,1988,0,Greenwich Village Historic District, ,3.99,2.43,0,4.8,1,1006190014,0,73,982673,206560,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,240.4708725,2361.414645,767250,9,0,9645,9646,12,2700,20.56999969,24.01333427,3.443334579,21.13249985,1.258097926,253.5899982 +9646,MN,593,45,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,14 CHRISTOPHER STREET,R6, , , , , , , , , ,N,S5,4,0, ,ANNA HOLDER,1125,5354,1125,4229,0,1125,0,0,0,0,2,1,5,6,7,21,41.67,21,41.67, ,3,Y,3,0,191705,683749,0,0,1910,0,0,Greenwich Village Historic District, ,4.76,2.43,0,4.8,1,1005930045,0,71,984133,206626,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,151.902525,1223.837556,492044,8,0,9646,9647,5,1125,17.50333405,17.92499924,0.421665192,17.58766708,0.168666077,87.93833542 +9647,MN,793,59,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,136 WEST 18 STREET,C6-2A, , , , , , , , , ,N,S1,4,0,P,"ARAM PROPERTIES NYC,",2116,4232,2116,2116,0,2116,0,0,0,0,2,1,2,1,2,23,92,23,92, ,3,N,5,0,170081,300674,0,0,1920,0,0, ,136 WEST 18TH STREET STABLE,2,6.02,6,6.5,1,1007930059,0,81,985179,208991,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,232.9886761,2114.865727,130593,7,0,9647,9648,9,2025,27.66555595,27.66555595,0,27.66555595,0,248.9900036 +9648,MN,885,7504,106,72,4001,2,2,10016,E016,13,14,5300,2,6, ,132 EAST 30 STREET,C6-2A, , , , , , , , , ,N,RD,3,0, , ,1921,15367,0,15367,0,0,0,0,0,0,2,1,11,10,10,58,38.75,58,38.75, ,1,N,0,5,420784,3420103,2360,2360,2010,0,0, , ,8,6.02,6,6.5,1,1008857504,2412,72,989434,210198,8d, ,104 019,10307, ,1008850061,7/11/2013,1, , ,17V1.1,7,199.0750481,2019.840895,2999320,10,0,9648,9649,9,2025,30.56200027,31.46111107,0.899110794,30.79256821,0.292884911,277.1331139 +9649,MN,610,22,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2K,182 WAVERLY PLACE,R6, , , , , , , , , ,N,C1,2,0, ,TENTH & WAVERLY LLC,1454,2537,0,2537,0,0,0,0,0,0,2,1,3,7,7,17,85.5,17,56,E,3,N,5,1,89672,269217,0,0,1910,0,0,Greenwich Village Historic District, ,1.74,2.43,0,4.8,1,1006100022,0,73,983813,206801,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,211.6485838,1535.913898,179545,8,0,9649,9650,7,1575,20.06299973,20.06299973,0,20.06299973,0,140.4409981 +9650,MN,437,20,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,278 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,ASCOT PROPERTIES LLC,2306,11550,0,11550,0,0,0,0,0,0,2,1,5,23,23,25,92.25,25,75, ,3,N,5,1,234900,1721250,0,0,1920,1959,0, , ,5.01,4,0,4,1,1004370020,0,34,988906,204513,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,235.5278043,2319.102855,1486350,12,0,9650,9651,10,2250,17.51666641,19.42111015,1.904443741,17.70711079,0.571333122,177.0711079 +9651,MN,741,34,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,151 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,ALL THE MARBLES REAL,3967,14375,3500,10875,0,3500,0,0,0,0,2,1,5,16,18,39.67,100,40,100, ,3,Y,5,2,275850,2482200,0,0,1900,1987,0, , ,3.62,4,2,4,1,1007410034,0,83,983921,209649,8b,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,285.7421339,3568.468209,2206350,7,0,9651,9652,15,3375,19.42666817,19.42666817,0,19.42666817,0,291.4000225 +9652,MN,509,18,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,288 MULBERRY STREET,C6-3, , , , , ,LI, , , ,N,C4,2,0, ,288 MULBERRY STREET R,1000,2130,0,2130,0,0,0,0,0,0,2,1,3,4,4,20,50,20,49, ,3,N,5,5,40151,120668,0,0,1915,0,0, , ,2.13,7.52,6,10,1,1005090018,0,43,985654,203241,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,138.5710581,967.9054218,80517,9,0,9652,9653,4,900,42.24222183,42.24222183,0,42.24222183,0,168.9688873 +9653,MN,924,31,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,315 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,315 1ST AVENUE LLC,2300,5152,1000,4152,0,1000,0,0,0,0,2,1,4,6,7,23,100,23,53, ,3,N,5,0,121671,416418,0,0,1910,1986,0, , ,2.24,4,2,4,1,1009240031,0,48,989529,206740,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,251.7861572,2328.386305,294747,5,0,9653,9654,11,2475,14.83555603,15.62222195,0.786665916,14.95565692,0.260385561,164.5122261 +9654,MN,573,29,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,26 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0, ,STONEBURN STEPHEN,1707,5052,0,5052,0,0,0,0,0,0,2,1,4.5,7,7,18.5,92.25,19,64, ,3,N,5,2,160628,501987,0,0,1900,1985,0,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005730029,0,63,985084,206630,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,222.5007857,1660.742126,341359,8,0,9654,9655,7,1575,18.98099899,19.73311043,0.752111435,19.19449125,0.337571011,134.3614388 +9655,MN,435,53,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,99 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,99 EAST 7TH STREET RE,2567,9820,0,9820,0,0,0,0,0,0,2,1,5,15,15,26.33,97.5,26,91, ,3,N,5,1,404550,896400,0,0,1930,1986,0,East Village/Lower East Side Historic Di, ,3.83,4,0,4,1,1004350053,0,32,988432,204095,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,257.1013143,2696.785743,491850,12,0,9655,9656,12,2700,20.24200058,20.24200058,0,20.24200058,0,242.904007 +9656,MN,553,7,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,390 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K2,5,1, ,378 SIXTH LLC,5075,13786,13786,0,0,13786,0,0,0,0,2,1,3,0,1,68.58,80,68.58,80, ,0,Y,5,2,1210500,3655350,0,0,1957,1970,2007,Greenwich Village Historic District, ,2.72,3.44,3.4,6.5,1,1005530007,0,63,984392,206413,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,303.0481153,5363.587923,2444850,8,0,9656,9657,24,5400,17.50333405,17.5577774,0.054443359,17.50560252,0.010879216,420.1344604 +9657,MN,588,48,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,114 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C6,2,0, ,114 CHRISTOPHER APT C,5317,23039,3987,19052,0,3987,0,0,0,0,2,1,6,33,36,50.83,95.67,51,92, ,3,Y,5,2,436050,3760200,70732,70732,1908,1985,0,Greenwich Village Historic District, ,4.33,2.43,0,4.8,1,1005880048,0,73,982781,206339,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,313.5170834,5239.584569,3324150,9,0,9657,9658,25,5625,20.90555573,22.39666748,1.491111755,21.05577789,0.418386684,526.3944473 +9658,MN,906,13,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,223 EAST 25 STREET,R8B, , , , , , , , , ,N,Z9, ,0,P,NINTH CHURCH CHRISTET,2469,6507,6507,0,6507,0,0,0,0,0,2,1,3,0,1,25,98.75,25,98, ,3,N,5,2,176400,423000,176400,423000,1915,0,0, , ,2.64,4,0,4,1,1009060013,0,66,989521,208821,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,253.6415019,2561.56422,246600,11,0,9658,9659,12,2700,29.90777779,30.96199989,1.054222107,30.05433337,0.303007575,360.6520004 +9659,MN,526,18,102,65,3002,2,3,10014,L009,6,15,5700,1,2,2A,200 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,W3,8,0,X,LITTLE RED SCHOOL HOU,4900,14700,14700,0,0,0,0,0,0,14700,2,1,3,0,4,50,98,50,98, ,3,N,3,1,697500,2763000,697500,2763000,1900,1972,1998,South Village Historic District, ,3,3.44,0,6.5,1,1005260018,0,65,983709,204978,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,308.8164098,5326.768837,2065500,9,0,9659,9660,24,5400,20.00333405,21.98666573,1.98333168,20.11291726,0.411479918,482.7100143 +9660,MN,233,26,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,12 HOWARD STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,EPIC LAFAYETTE LLC,10524,129135,129135,0,118374,10761,0,0,0,0,2,1,12,0,12,89.58,114.08,89.58,114.08, ,0,N,3,2,2250000,27603000,0,0,1930,2007,0, , ,12.27,0,5,6.5,1,1002330026,0,45,984268,201408,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,425.8784293,11182.70079,25353000,0,0,9660,9661,51,11475,15.89666653,17.89511108,1.998444557,17.36839304,0.266711701,885.7880449 +9661,MN,449,37,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,117 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,117 FIRST AVE REALTY,1000,3280,1000,2280,0,1000,0,0,0,0,2,1,4,3,4,20,50,20,50,E,3,N,5,5,89266,132735,0,0,1900,0,0, , ,3.28,4,0,4,1,1004490037,0,38,988162,204222,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,150.1870755,1153.484069,43469,12,0,9661,9662,5,1125,25.48777771,25.48777771,0,25.48777771,0,127.4388886 +9662,MN,874,4,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1A,233 PARK AVENUE SOUTH,C6-4A,R8B, , , , , , , , ,Y,O6,5,0, ,225 FOURTH LLC,12300,142173,142173,0,137173,5000,0,0,0,0,2,1,12,0,15,82,150,82,150, ,0,N,3,5,8370000,28351800,0,0,1909,1987,0, , ,11.56,10,10,10,1,1008740004,0,50,987606,207934,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,480.2895794,13200.61917,19981800,5,0,9662,9663,59,13275,33.91699982,36.97777939,3.060779572,34.11276633,0.604982113,2012.653214 +9663,MN,510,23,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,261 MULBERRY STREET,M1-5B, , , , , , , , , ,N,C0,2,0, ,"HUANG, TING",1350,2440,0,2440,0,0,0,0,0,0,2,1,3,3,3,20,67.5,20,38.5, ,3,N,5,2,13190,45504,1550,1550,1899,0,0, , ,1.81,0,5,6.5,1,1005100023,0,43,985429,202953,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,185.1528006,1531.569025,32314,0,0,9663,9664,7,1575,38.26333237,38.26333237,0,38.26333237,0,267.8433266 +9664,MN,770,21,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 20 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,"CALADIUM W20, LLC",1064,7564,0,7564,0,0,0,0,0,0,2,1,6,1,1,14.17,75.42,26.67,55, ,2,Y,5,2,37345,143207,0,0,1824,2006,0, , ,7.11,4,0,4,1,1007700021,0,87,984690,209979,8d, ,103 034,10304, ,1007700021,7/30/2012,1, , ,17V1.1,0,203.7884022,1904.403644,105862,7,0,9664,9665,8,1800,22.20999908,22.20999908,0,22.20999908,0,177.6799927 +9665,MN,210,7501,101,33,1000,2,1,10013,L001,1,15,7700,3,1, ,332 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5257,35344,10344,25000,0,10344,0,0,0,0,2,1,6,1,2,51,111.5,25,111, ,3,Y,0,5,354150,4201200,0,0,1910,0,0, , ,6.72,6.02,6,6.5,1,1002107501,2351,33,983350,201585,12a, ,101N046,10105, ,1002100008,1/2/2013,1, , ,17V1.1,7,331.440766,5463.922985,3847050,0,0,9665,9666,23,5175,12.01355553,12.33199978,0.318444252,12.31815438,0.064940693,283.3175507 +9666,MN,823,2,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,678 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,C7,4,0, ,678 6TH AVENUE LLC/HE,4693,14599,3200,11399,0,3200,0,0,0,0,2,1,5,8,10,49.4,95,49,89, ,3,N,5,5,1127484,2752021,0,1257,1915,2004,2008,Ladies' Mile Historic District, ,3.11,6.02,6,6.5,1,1008230002,0,58,986106,209489,8d, ,102 042,10306, ,1008230002,8/18/2011,1, , ,17V1.1,0,293.4079619,4855.964528,1624540,7,0,9666,9667,22,4950,33.74333191,35.45444489,1.711112976,33.83598865,0.359682946,744.3917503 +9667,MN,387,1,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,55 AVENUE B,R8B,R7A, , ,C1-5, , , , , ,Y,W1,8,0,C,NYC EDUCATION,94000,142826,140300,2526,0,0,0,0,0,140300,2,1,4,6,8,446.42,264.25,421,238, ,3,Y,3,2,3307500,19186200,3307500,19186200,1953,0,0, , ,1.52,4,0,4,1,1003870001,0,2601,989243,202864,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,1902.458878,94433.18404,15878700,1,1,9667,9668,420,94500,11.44888878,19.83888817,8.38999939,13.33604349,2.004615392,5601.138268 +9668,MN,882,7501,105,68,1001,2,2,10016,E016,13,14,5300,1,5, ,114 EAST 27 STREET,C4-5A, , , , , , , , , ,N,RM,4,0, , ,2057,8477,2488,5989,0,2488,0,0,0,0,2,1,6.5,10,11,0.04,0,20.83,97, ,0,N,0,5,177301,1086753,2360,2360,1910,0,0, , ,4.12,4,4,4,1,1008827501,2426,68,988693,209689,8d, ,104 006,10307, ,1008820079,11/15/2013,1, , ,17V1.1,7,246.0187301,2171.245715,909452,11,0,9668,9669,10,2250,33.85400009,36.08666611,2.232666016,34.07726669,0.669799805,340.7726669 +9669,MN,188,7502,101,39,4002,2,1,10013,E007,1,15,7700,3,1, ,62 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,15784,76176,5405,70771,0,5405,0,0,0,0,2,1,8,33,34,0.36,0,0,0, ,0,N,0,5,1363503,11433602,11800,11800,1915,2003,0,Tribeca West Historic District, ,4.83,6.02,6,6.5,1,1001887502,1063,39,981543,201745,12a, ,101N039,10105, ,1001880010,12/20/1999,1, , ,17V1.1,7,562.8527198,16330.265,10070100,14,1,9669,9670,73,16425,11.72333336,15.11899948,3.395666122,14.88974076,0.782825332,1086.951076 +9670,MN,478,14,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,168 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,TAI WAH TRADING GROUP,2456,8044,535,7509,0,535,0,0,0,0,2,1,6,10,11,25.08,98.58,25,53, ,3,N,5,2,103050,669600,0,0,1900,0,0, , ,3.28,3.44,6,6.5,1,1004780014,0,41,985744,201894,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,251.6345086,2609.864392,566550,0,0,9670,9671,12,2700,38.05444717,41.91555405,3.861106873,39.5218064,1.434822222,474.2616768 +9671,MN,373,1,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,40 AVENUE C,R7A, , , ,C2-5, , , , , ,N,S2,4,0,P,DIVINE PROVIDENCE LLC,1923,4800,1500,3300,0,0,0,0,0,1500,2,1,3,2,3,24,80,24,38,E,3,N,5,0,16859,29030,0,0,1901,0,0, , ,2.5,4,0,4,1,1003730001,0,2601,989735,202242,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,217.6696232,2158.982505,12171,1,0,9671,9672,9,2025,13.10900021,13.10900021,0,13.10900021,0,117.9810019 +9672,MN,531,20,102,55.02,1000,2,1,10003,L009,9,15,5700,1,2,2A,383 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O2,5,0,X,NEW YORK UNIVERSITY,14030,64347,64347,0,64347,0,0,0,0,0,2,1,4,0,4,79,170.67,79,171, ,2,Y,3,0,1354500,8814600,1354500,8814600,1900,1988,2015,NoHo Historic District, ,4.59,0,5,6.5,1,1005310020,0,5502,986228,204326,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,542.3169318,15057.80319,7460100,9,0,9672,9673,66,14850,43.06888962,44.79444504,1.72555542,43.80943535,0.189371979,2891.422733 +9673,MN,396,28,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,642 EAST 14 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,642 EAST 14TH ST. LLC,2826,10890,1000,9890,0,1000,0,0,0,0,2,1,5,18,20,27.33,103.25,27.33,91, ,0,N,5,5,135000,559800,0,0,1900,0,0, , ,3.85,3.44,0,6.5,1,1003960028,0,28,990818,204649,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,268.2757263,2924.608007,424800,12,1,9673,9674,14,3150,6.340000153,8.193333626,1.853333473,6.530190604,0.49820505,91.42266846 +9674,MN,513,7502,102,49,1002,2,1,10012,L020,1,15,6800,1,2, ,159 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,4329,15814,6392,9422,0,3226,0,3166,0,0,2,1,4,6,7,43.75,100,0,0, ,0,Y,0,5,126249,1097238,4720,4720,1920,0,0,SoHo-Cast Iron Historic District, ,3.65,0,5,6.5,1,1005137502,918,49,984724,203544,12c, ,101N072,10206, ,1005130026,12/26/1995,1, , ,17V1.1,7,293.3801713,4539.478491,970989,9,0,9674,9675,21,4725,26.62555504,26.62555504,0,26.62555504,0,559.1366558 +9675,MN,92,30,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1H,132 NASSAU STREET,C5-5,C6-4, , , , ,LM, , , ,Y,O9,5,0, ,J W REALTY CO LLC,11933,96412,96412,0,20314,6538,0,0,0,0,2,1,4,0,45,103.87,116.46,104,68, ,3,Y,3,2,1174500,8146350,0,0,1915,0,0, , ,8.08,10,15,15,1,1000920030,0,1501,982446,198287,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,451.6006786,12506.46999,6971850,4,0,9675,9676,54,12150,34.5909996,37.72000122,3.129001617,34.78256558,0.634863017,1878.258541 +9676,MN,209,1,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,277 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,1,P,"AJJ CANAL,",9781,29343,29343,0,9781,19562,0,0,0,0,2,1,3,0,3,126.98,62.08,126,62, ,3,Y,3,2,742500,4442850,0,0,1927,0,0,SoHo-Cast Iron Historic District Extensi, ,3,0,5,6.5,1,1002090001,0,45,983855,201370,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,447.0312639,11244.36817,3700350,0,0,9676,9677,53,11925,11.84555531,13.05222225,1.206666946,11.88742116,0.191006557,630.0333214 +9677,MN,513,7503,102,49,1002,2,1,10012,L020,1,15,6800,1,2, ,25 WEST HOUSTON STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7514,51881,8059,43822,0,8059,0,0,0,0,2,1,9,31,33,200.33,50,200.33,50, ,0,Y,0,5,544502,9544954,9440,9440,2003,0,0,SoHo-Cast Iron Historic District, ,6.9,0,5,6.5,1,1005137503,1390,49,984778,203691,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,7,514.2208174,7794.159715,9000450,9,0,9677,9678,35,7875,26.62555504,36.34666824,9.721113205,27.8118187,2.65904685,973.4136543 +9678,MN,394,34,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,650 EAST 12 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,O2,5,0, ,DEVENISH REALTY COMPA,5163,6415,6415,0,6415,0,0,0,0,0,2,1,2,0,1,50,103.25,50,100, ,3,N,5,0,119250,996300,0,0,1950,2000,0, , ,1.24,4,0,4,1,1003940034,0,28,990554,204185,12c, ,102 030,10203,E-216,0, ,1,1,1,17V1.1,0,308.6432223,5255.25093,877050,12,1,9678,9679,24,5400,6.934999943,8.351111412,1.416111469,7.068773111,0.366173344,169.6505547 +9679,MN,411,65,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,137 ESSEX STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,GBS REALTY INC.,2250,8500,4500,4000,0,4500,0,0,0,0,2,1,5,4,5,25,90,25,90, ,3,N,5,2,225000,720450,0,0,1900,0,0, , ,3.78,4,4,4,1,1004110065,0,3001,987684,201713,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,237.0587591,2374.40051,495450,13,0,9679,9680,10,2250,30.50799942,30.50799942,0,30.50799942,0,305.0799942 +9680,MN,722,24,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,421 WEST 24 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,"CHELSEA TOWN, SERIES",4905,21012,0,21012,0,0,0,0,0,0,2,1,6,35,35,50,98.75,50,84, ,3,N,5,2,216000,2257650,0,0,1927,1980,0, , ,4.28,6,0,6,1,1007220024,0,93,983769,211712,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,304.7785742,5082.343685,2041650,2,1,9680,9681,23,5175,10.68099976,10.68099976,0,10.68099976,0,245.6629944 +9681,MN,716,62,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,448 WEST 19 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,448-450 WEST 19 REALT,4600,19100,0,19100,0,0,0,0,0,0,2,2,6,40,40,50,92,25,92,E,1,N,5,2,314550,2994750,0,0,1910,0,0, , ,4.15,6,0,6,1,1007160062,0,89,982759,210610,8b, ,103 041,10302, ,1007160061,2/6/1990,1, ,1,17V1.1,0,290.6589651,4804.844156,2680200,7,1,9681,9682,20,4500,9.675999641,12.18000031,2.504000664,10.02019978,0.68855828,200.4039955 +9682,MN,470,16,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,355 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,K9,5,0, ,HOLLY TRINITY UKRAINI,1840,3420,3420,0,0,1140,0,0,0,2280,2,1,3,3,4,23.75,63,24,59,E,2,Y,3,0,150750,757800,48240,224624,1900,1986,0, , ,1.86,6.02,6,6.5,1,1004700016,0,41,985513,201500,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,175.5870747,1578.928286,607050,0,0,9682,9683,6,1350,35.41500092,36.15888977,0.743888855,35.54046377,0.27658756,213.2427826 +9683,MN,438,38,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,279 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,279 E. 10TH LLC,2369,7755,1551,6204,0,1551,0,0,0,0,2,1,5,16,18,25,94.75,25,58, ,3,N,5,2,201600,918900,0,0,1910,1988,0, , ,3.27,4,0,4,1,1004380038,0,34,989062,204599,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.4379342,2492.969512,717300,12,0,9683,9684,11,2475,17.63888931,18.71444511,1.075555801,18.13128315,0.322389266,199.4441147 +9684,MN,578,79,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,576 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,C3,2,0,P,MAYA NEIGHBOUR,1897,4849,0,4849,0,0,0,0,0,0,2,1,4,4,4,22.5,84.33,22.5,42,E,0,N,5,5,80591,121598,2360,2360,1910,0,0, , ,2.56,0,10,10,1,1005780079,0,37,982354,203296,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,221.5751983,2087.691184,41007,0,1,9684,9685,9,2025,11.90100002,14.20444489,2.303444862,12.4404815,0.814207037,111.9643335 +9685,MN,724,15,104,97,2002,2,3,10001,E003,10,15,5500,1,4,2B,427 WEST 26 STREET,R8, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,50475,187330,0,187330,0,0,0,0,0,0,2,1,12,81,81,243.08,257.42,134,216, ,1,Y,5,2,2178000,20125800,2178000,20125800,1968,1987,0, , ,3.71,6.02,0,6.5,1,1007240015,0,97,983979,212261,8d,Y,105S006,10302, ,0, ,1, , ,17V1.1,0,983.3778617,49780.9509,17947800,2,0,9685,9686,222,49950,15.81555557,19.83111,4.015554428,17.71007926,1.184917485,3931.637596 +9686,MN,816,22,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,31 WEST 14 STREET,C6-2M, , , , , , , , , ,N,K1,5,0, ,METROPOLITAN MANAGEME,2463,3605,3605,0,0,3605,0,0,0,0,2,1,1,0,1,25,101.42,25,99, ,3,Y,5,2,312750,1616850,0,0,1920,0,0, , ,1.46,6.02,6,6.5,1,1008160022,0,54,985617,207754,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,261.9657025,2644.745697,1304100,7,0,9686,9687,12,2700,28.19599915,28.19599915,0,28.19599915,0,338.3519897 +9687,MN,613,9,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,252 WEST 11 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"STOOPSIDE, LLC",810,2037,0,2037,0,0,0,0,0,0,2,1,3,5,5,16.67,48.58,17,42, ,2,N,3,5,189010,286709,0,0,1915,1987,0,Greenwich Village Historic District, ,2.51,2.43,0,4.8,1,1006130009,0,73,983309,207444,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,135.1173644,893.6834257,97699,8,0,9687,9688,4,900,25.34199905,28.16333389,2.821334839,26.04733276,1.221673822,104.1893311 +9688,MN,220,28,101,33,3003,2,1,10013,L008,1,15,7700,1,1,3B,17 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,C E PROPERTY CP,1544,4500,4500,0,4200,0,0,300,0,0,2,1,2,0,3,20.58,75,21,75, ,3,N,5,2,90000,342450,0,0,1915,1984,0,Tribeca North Historic District, ,2.91,6.02,6,6.5,1,1002200028,0,33,982177,202457,12a, ,101N042,10105,E-257,0, ,1, , ,17V1.1,0,196.0861763,1648.528163,252450,0,1,9688,9689,6,1350,11.22399998,11.22399998,0,11.22399998,0,67.34399986 +9689,MN,489,26,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,79 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,79-81 THOMPSON ASSOCI,1867,7051,0,7051,0,0,0,0,0,0,2,1,6,16,16,36.75,50,37,37, ,3,N,5,2,196200,895050,0,0,1900,0,0,Sullivan-Thompson Historic District, ,3.78,3.44,0,6.5,1,1004890026,0,47,983425,203304,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,190.4587762,1991.614593,698850,0,1,9689,9690,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +9690,MN,570,8,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,6 EAST 13 STREET,C6-1, , , , , , , , , ,N,D5,3,0,P,10 EAST 13TH STREET L,7659,49408,0,49408,0,0,0,0,0,0,2,1,6,54,54,75,103.25,75,103, ,3,Y,5,2,1359000,5467050,0,0,1900,1982,0, , ,6.45,3.44,6,6.5,1,1005700008,0,61,986004,207013,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,362.2458838,7793.270428,4108050,8,0,9690,9691,35,7875,33.2820015,34.92444229,1.642440796,33.32892838,0.273628379,1166.512493 +9691,MN,829,45,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,6 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,NOMAD 28TH STREET LLC,2472,8936,8936,0,6736,2200,0,0,0,0,2,2,4,0,7,25,98.75,25,95, ,3,N,5,2,339750,908100,0,0,1915,0,0,Madison Square North Historic District, ,3.61,0,10,10,1,1008290045,0,58,987546,210620,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,254.7816425,2712.00112,568350,11,0,9691,9692,12,2700,40.15333176,42.18877792,2.035446167,40.32295227,0.562567601,483.8754272 +9692,MN,97,36,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,226 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,S2,4,0, ,"BARNET, ANDREA",1775,6600,1775,4825,0,1200,0,0,0,575,2,1,4,2,3,25.08,71,25.08,71, ,0,Y,5,5,78606,150228,1550,1550,1901,0,0,South Street Seaport Historic District, ,3.72,6.02,6,6.5,1,1000970036,0,1501,983638,197106,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,197.3865108,1825.148415,71622,4,1,9692,9693,8,1800,5.993332863,6.12088871,0.127555847,6.009277344,0.042185131,48.07421875 +9693,MN,828,60,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,20 WEST 27 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,20 W 27 ST OWNERS COR,2469,10564,1400,9164,0,1400,0,0,0,0,2,1,6,5,6,25,98.75,25,65,E,0,N,5,5,135807,576027,2360,2360,1920,1968,0,Madison Square North Historic District, ,4.28,0,10,10,1,1008280060,0,58,987141,210548,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,252.8375503,2493.201721,440220,2,0,9693,9694,13,2925,42.13444519,43.92300034,1.788555145,42.3338042,0.505907124,550.3394547 +9694,MN,393,33,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,175 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,LAI MAN C,1541,5755,1000,4755,0,1000,0,0,0,0,2,1,5,8,10,23.67,65,24,46, ,2,N,5,2,13508,61922,0,0,1920,0,0, , ,3.73,4,0,4,1,1003930033,0,28,990500,203928,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,179.9328496,1610.693678,48414,12,1,9694,9695,8,1800,7.409999847,7.831110954,0.421111107,7.462638736,0.139269408,59.70110989 +9695,MN,558,43,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,126 EAST 13 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,"THE MILAN ASSOCIATES,",7167,12875,11840,1035,0,0,0,0,0,11840,2,1,3,1,3,49.67,207,50,199, ,3,N,4,2,967500,2691900,0,0,1900,2008,0, ,VAN TASSELL & KEARNEY AUCTION MART,1.8,6.02,6,6.5,1,1005580043,0,42,987371,206224,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,521.7954104,7310.99798,1724400,12,0,9695,9696,33,7425,38.19900131,41.43333435,3.234333038,38.32449283,0.571114443,1264.708263 +9696,MN,447,24,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,336 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,336 E 6TH ST OWNERS C,2425,8370,0,8370,0,0,0,0,0,0,2,1,5,21,21,25,97,25,52, ,3,N,5,1,171000,885600,4720,4720,1929,0,0,East Village/Lower East Side Historic Di, ,3.45,4,0,4,1,1004470024,0,38,987858,203962,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,249.2765884,2459.550733,714600,1,0,9696,9697,10,2250,27.13666725,28.90555573,1.768888474,28.13757839,0.400664516,281.3757839 +9697,MN,565,5,102,61,3001,2,2,10003,L003,6,15,5700,1,2,3A,119 UNIVERSITY PLACE,C6-1, , , , , , , , , ,N,K4,4,0,P,ZOE REALTY CORP,1977,8596,8596,0,0,5158,0,2149,1289,0,2,1,3,0,6,55,39.08,55,39, ,3,Y,3,2,210150,2069550,0,0,1950,0,0, , ,4.35,3.44,6,6.5,1,1005650005,0,61,986472,206908,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,188.3666894,2149.549811,1859400,8,0,9697,9698,9,2025,38.82999802,40.43999863,1.61000061,40.26110967,0.505974377,362.349987 +9698,MN,879,9,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,115 EAST 23 STREET,C6-4A,C6-2A, , , , , , , , ,Y,O6,5,0, ,WALTOX CORPORATION N.,6215,69007,69007,0,64507,4500,0,0,0,0,2,1,12,0,14,56.5,110,56.5,90, ,0,N,5,5,1768500,7553700,0,0,1913,1968,0, , ,11.1,10,10,10,1,1008790009,0,68,988283,208925,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,337.4962265,6347.349339,5785200,11,0,9698,9699,31,6975,28.24111176,32.65888977,4.417778015,28.60915473,1.059978393,886.8837967 +9699,MN,200,19,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,81 MOTT STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,WING CH CO,1900,8548,3560,4988,710,2850,0,0,0,0,2,1,5,8,12,25,76,25,57, ,3,N,5,1,156600,967050,0,0,1915,0,0, , ,4.5,3.44,6,6.5,1,1002000019,0,29,984765,200355,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,209.0983432,1988.728346,810450,14,0,9699,9700,7,1575,28.79299927,35.57777786,6.784778595,29.76225335,2.374177939,208.3357735 +9700,MN,236,7502,102,41,5003,2,1,10013,E055,5,15,6800,1,2, ,145 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,4723,29762,6731,23031,0,6731,0,0,0,0,2,1,6,25,26,50.42,100.08,50,97, ,2,N,0,5,347850,2423700,0,0,1915,1988,2008, , ,6.3,6.02,6,6.5,1,1002367502,2195,41,984876,201225,12c, ,101N048,10105, ,1002360022,10/19/2010,1, , ,17V1.1,7,303.0633434,5006.223897,2075850,0,0,9700,9701,22,4950,24.0720005,24.0720005,0,24.0720005,0,529.5840111 +9701,MN,741,31,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,145 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0,P,CHISHOLM ROBERT,2100,7000,1750,5250,0,1750,0,0,0,0,2,1,3,2,3,21,100,21,42,E,3,N,5,2,65055,154764,1550,1550,1901,1967,0, ,145 EIGHTH AVENUE HOUSE,3.33,4,2,4,1,1007410031,0,83,983883,209591,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,252.7455024,2364.461132,89709,7,0,9701,9702,11,2475,19.42666817,19.42666817,0,19.42666817,0,213.6933498 +9702,MN,802,3,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,287 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0, ,"287TH AVE REALTY, LLC",2000,5039,5039,0,675,3014,0,1350,0,0,2,1,4,0,1,20,100,20,100,E,2,N,5,2,369000,817200,0,86400,1920,1986,0, , ,2.52,0,10,10,1,1008020003,0,95,985968,211092,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,244.8437625,2205.344086,448200,2,0,9702,9703,10,2250,32.50999832,33.65566635,1.14566803,32.62456512,0.343700409,326.2456512 +9703,MN,141,7503,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,170 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,RMB HOLDING COMPANY O,3181,13038,5984,7054,1793,4191,0,0,0,0,2,1,4,3,7,25,127.25,0,0, ,0,N,5,5,168022,831585,0,0,1986,0,0,Tribeca West Historic District, ,4.1,6.02,6,6.5,1,1001417503,636,39,981573,200451,12a, ,101S016,10104, ,1001410029,7/22/1989,1, , ,17V1.1,7,310.7038185,3268.06562,663563,14,0,9703,9704,15,3375,16.8029995,16.98711014,0.184110641,16.82203649,0.050827523,252.3305473 +9704,MN,743,53,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,312 WEST 20 STREET,R7B, , , , , , , , , ,N,D7,4,0, ,MARLENE ASSOCIATES LL,4577,18828,500,18328,500,0,0,0,0,0,2,1,6,24,25,49.75,92,50,79, ,3,N,5,2,246600,1633500,0,0,1906,1987,0, , ,4.11,3,0,3,1,1007430053,0,89,984014,210194,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,290.2937928,4788.805351,1386900,7,0,9704,9705,21,4725,15.57888889,15.57888889,0,15.57888889,0,327.1566668 +9705,MN,719,71,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,452 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,CHELSEA EQUITIES LLC,2098,8820,0,8820,0,0,0,0,0,0,2,1,4,15,15,21.25,98.75,21,85, ,3,N,5,2,128250,768600,0,0,1900,0,0,Chelsea Historic District, ,4.2,3,0,3,1,1007190071,0,89,983242,211192,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,239.4182233,2085.674124,640350,7,1,9705,9706,10,2250,10.39400005,12.42777729,2.033777237,10.6668889,0.606020266,106.668889 +9706,MN,821,64,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,36 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,ERICA REALTY CORP.,4600,49500,49500,0,40500,9000,0,0,0,0,2,1,11,0,13,50,92,50,90, ,3,N,5,2,585000,3736800,0,0,1906,0,0,Ladies' Mile Historic District, ,10.76,10,10,10,1,1008210064,0,54,986159,209008,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,297.0832371,4919.641543,3151800,7,0,9706,9707,21,4725,32.91555405,36.18977737,3.274223328,33.1447605,0.755492804,696.0399704 +9707,MN,829,14,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,39 WEST 27 STREET,M1-6, , , , , , , , , ,N,H3,5,0,P,SENTON HOTEL WEST COR,4938,26047,0,0,0,0,0,0,0,0,2,1,7,0,1,50,98.75,50,88, ,3,N,5,2,1350000,1410750,0,0,1920,0,0,Madison Square North Historic District, ,5.27,0,10,10,1,1008290014,0,58,987096,210753,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,306.577964,5213.357335,60750,2,0,9707,9708,22,4950,42.75111008,42.75111008,0,42.75111008,0,940.5244217 +9708,MN,606,18,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,46 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,K4,4,0, ,PORT REALTY L.L.C.,1850,4291,3095,1196,0,3095,0,0,0,0,2,1,3,1,3,23,79.75,23,82,E,3,Y,5,1,331200,1059750,0,0,1910,0,0,Greenwich Village Historic District, ,2.32,3.44,2,6.5,1,1006060018,0,71,984182,207283,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,202.6924,1703.80585,728550,8,0,9708,9709,8,1800,22.88899994,22.88899994,0,22.88899994,0,183.1119995 +9709,MN,603,67,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,453 HUDSON STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,453 HUDSON STREET REA,2502,7612,0,7612,0,0,0,0,0,0,2,1,4,7,7,25,100.08,25,78, ,3,N,5,2,121453,364904,0,0,1920,1942,0,Greenwich Village Historic District, ,3.04,3.44,2,6.5,1,1006030067,0,69,982302,205711,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,258.8966648,2609.519575,243451,9,0,9709,9710,10,2250,15.32666683,18.11222267,2.78555584,15.84171133,0.923413885,158.4171133 +9710,MN,238,21,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,95 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,PING ON REALTY CORP,3740,15600,3000,12600,0,3000,0,0,0,0,2,1,6,27,30,40,94,40,80, ,3,Y,5,2,252000,973350,0,0,1910,1985,0, , ,4.17,6.02,6,6.5,1,1002380021,0,41,985336,201052,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,272.5143553,3842.228036,721350,0,0,9710,9711,17,3825,31.90200043,31.90200043,0,31.90200043,0,542.3340073 +9711,MN,745,7501,104,89,5000,2,3,10011,L012,10,15,5600,1,4, ,346 WEST 22 STREET,R7B, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,2057,5733,0,5733,0,0,0,0,0,0,2,1,4,4,4,0.04,0,0,0, ,0,N,5,5,42288,379160,2360,2360,1910,1986,0,Chelsea Historic District Extension, ,2.79,3,0,3,1,1007457501,350,89,983973,210787,8d,Y,103 038,10303, ,1007450062,4/20/1987,1, , ,17V1.1,7,239.0979319,2011.320948,336872,7,0,9711,9712,9,2025,15.97222233,16.84000015,0.867777824,16.11750592,0.267763885,145.0575533 +9712,MN,540,3,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,108 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MACDOUGAL LLC,2500,12408,3600,8808,0,3600,0,0,0,0,2,1,5,18,20,25,100,25,86, ,3,N,5,2,171450,1320300,0,0,1900,1987,0,South Village Historic District, ,4.96,3.44,0,6.5,1,1005400003,0,65,984072,205033,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,255.463264,2535.407097,1148850,9,0,9712,9713,11,2475,22.5755558,24.90666771,2.331111908,22.96029334,0.821286948,252.5632267 +9713,MN,404,26,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,544 EAST 11 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C6,2,0,P,544 546 E 11 ST CORP,2370,8010,0,8010,0,0,0,0,0,0,2,1,5,10,10,25,94.75,25,78, ,3,N,5,2,92506,411044,21162,21162,1928,1986,0, , ,3.38,4,0,4,1,1004040026,0,34,989783,204312,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,241.6781913,2289.645954,318538,12,1,9713,9714,12,2700,12.53199959,14.8866663,2.35466671,13.14029606,0.765198603,157.6835527 +9714,MN,492,29,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,212 BOWERY,C6-1, , , , , ,LI, , , ,N,L8,6,0, ,BOWERY REALTY ASSOCIA,2500,7225,7225,0,1400,2000,0,3825,0,0,2,1,4,0,4,25,100,25,100, ,2,N,5,0,225000,1408950,0,0,1900,0,0, , ,2.89,3.44,6,6.5,1,1004920029,0,43,985948,202234,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,254.8300157,2501.366206,1183950,0,0,9714,9715,10,2250,39.76666641,42.8488884,3.082221985,40.07488861,0.924666595,400.7488861 +9715,MN,299,7501,103,16,5002,2,1,10002,E015,7,14,7400,2,3, ,17 ORCHARD STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,1725,10448,2556,7892,0,2556,0,0,0,0,2,1,7,7,8,22,79,22,79, ,0,N,0,5,103342,762262,2360,2360,1900,0,0, , ,6.06,6.02,6,6.5,1,1002997501,2245,16,986483,199871,12d, ,101N051,10107, ,1002990031,7/12/2011,1, , ,17V1.1,7,208.3214783,1777.900157,658920,13,0,9715,9716,8,1800,40.40000153,40.61555862,0.215557098,40.42694616,0.071288809,323.4155693 +9716,MN,437,108,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,248 EAST 10 STREET,R7A, , , ,C1-5, , , , , ,N,C2,2,0, ,THE MEARL COMPANY LLC,1035,3120,0,3120,0,0,0,0,0,0,2,2,3,5,5,45.17,23,30,22, ,3,Y,5,5,171670,233857,0,0,1890,1987,0, , ,3.01,4,0,4,1,1004370108,0,34,988652,204693,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,138.0626077,1068.646476,62187,12,0,9716,9717,5,1125,17.51666641,22.13555527,4.618888855,18.87602196,1.835107446,94.38010979 +9717,MN,135,7506,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,92 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1858,9934,2172,7762,0,2172,0,0,0,0,2,1,6,4,5,24.79,75,24.79,68, ,3,N,0,5,331072,962870,0,10071,1915,2005,0, , ,5.35,7.52,6,7.5,1,1001357506,1751,21,982169,199591,12b, ,101S018,10104, ,1001350020,9/11/2007,1, , ,17V1.1,7,203.2504743,1873.249847,631798,3,0,9717,9718,9,2025,32.51022339,32.66199875,0.15177536,32.64513482,0.047698394,293.8062134 +9718,MN,753,24,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,321 WEST 29 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,ANBE REALTY,4345,14900,0,14900,0,0,0,0,0,0,2,2,6,24,24,44,98.75,22,95,E,3,N,5,2,211950,1695150,0,0,1900,1972,0, , ,3.43,4,0,4,1,1007530024,0,97,985148,212421,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,294.9083431,4582.842709,1483200,6,0,9718,9719,21,4725,28.20800018,35.32888794,7.120887756,28.72560846,1.551320606,603.2377777 +9719,MN,905,53,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,208 EAST 25 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"208-214 E. 25TH ST,LL",2634,9800,0,9800,0,0,0,0,0,0,2,1,5,22,22,25,98.75,25,88, ,3,N,5,2,117000,1508400,0,0,1920,1986,0, , ,3.72,4,0,4,1,1009050053,0,66,989323,208751,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,247.3625518,2392.933332,1391400,11,0,9719,9720,10,2250,26.78800011,34.95222092,8.16422081,27.63244438,2.441355452,276.3244438 +9720,MN,397,38,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,6 AVENUE B,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,6 AVE B LIQUORS INC,1819,7995,800,7195,0,800,0,0,0,0,2,1,6,10,11,24.17,79.83,24,66, ,2,Y,3,2,112500,855000,0,0,1900,0,0, , ,4.4,6,0,6,1,1003970038,0,3002,988706,202225,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,212.3825422,2006.14248,742500,1,0,9720,9721,10,2250,19.55999947,22.35333443,2.793334961,19.83933296,0.838000488,198.3933296 +9721,MN,143,25,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,14 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,14 JAY STREET OWNERS,2218,17168,2146,15022,0,2146,0,0,0,0,2,1,8,7,8,25,89,25,89, ,0,Y,5,5,529285,1062056,2360,2360,1920,1983,2006,Tribeca West Historic District, ,7.74,6.02,6,6.5,1,1001430025,0,39,981531,200798,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,229.4135487,2260.134469,532771,14,0,9721,9722,10,2250,16.87599945,17.00399971,0.128000259,16.88879948,0.038400078,168.8879948 +9722,MN,783,48,105,101,1002,2,3,10001,L024,14,15,5200,1,5,1H, WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,U0,7,0,P,"AUSNIT, PTER C",0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,10,15,15,1,1007830048,0,101,986699,212880,8d, ,105S022,10304, ,0, ,1, , ,17V1.1,0,183.9034467,2082.542576,0,6,0,9722,9723,9,2025,39.16600037,39.32688904,0.160888672,39.18387689,0.050562432,352.654892 +9723,MN,915,27,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,623 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,C7,4,0, ,623 SECOND ASSOCIATES,1552,6196,1315,4881,0,1315,0,0,0,0,2,1,4,9,10,20.42,76,20,76, ,3,N,3,2,413884,1029480,0,0,1910,1960,0, , ,3.99,10,2,10,1,1009150027,0,78,990885,210714,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,203.9000725,1784.775068,615596,10,0,9723,9724,7,1575,18.38999939,18.57222176,0.182222366,18.41603116,0.063764545,128.9122181 +9724,MN,910,3,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,419 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C4,2,0, ,MARION AVENUE LLC,2728,12230,1800,10430,0,1800,0,0,0,0,2,1,5,13,14,24.67,110,25,97, ,3,N,5,2,180000,1167300,0,0,1925,1984,0, , ,4.48,10,2,10,1,1009100003,0,70,989811,209852,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,277.7611995,2850.54089,987300,10,0,9724,9725,13,2925,34.88199997,37.10222244,2.220222473,35.06584608,0.58957742,455.855999 +9725,MN,572,61,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,35 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,35 WEST 8TH STREET,2350,10640,4256,6384,0,4256,0,0,0,0,2,1,5,7,9,25.08,93.92,25,88, ,3,N,5,2,97480,881464,0,0,1910,1987,2009,Greenwich Village Historic District, ,4.53,3.44,3.4,6.5,1,1005720061,0,63,984799,206398,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.2197975,2388.138955,783984,8,0,9725,9726,11,2475,18.70499992,21.67333412,2.968334198,19.13055559,0.941591634,210.4361115 +9726,MN,912,48,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,232 EAST 32 STREET,R7B, , , , , , , , , ,N,B3,1,0, ,WILLIAM J & SHEILA M,1646,3200,0,2400,0,0,0,0,0,0,2,1,2,2,2,16.67,98.75,16.67,66,E,3,N,5,1,70386,141004,1550,1550,1901,0,0, , ,1.94,3,0,3,1,1009120048,0,70,990367,210235,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,236.818715,1739.271016,70618,10,0,9726,9727,6,1350,26.45000076,27.00444412,0.554443359,26.54240799,0.20662884,159.2544479 +9727,MN,777,1,105,95,2002,2,3,10001,L024,10,15,5200,1,5,1H,340 8 AVENUE,C6-2,C6-2A, , , , , , , , ,Y,W6,8,0,C,DCAS/DEPARTMENT OF ED,66700,401980,401980,0,0,0,0,0,0,401980,2,1,10,0,2,197.5,355.25,190,394, ,0,Y,3,5,11225700,62164800,11225700,62164800,1971,1971,0, , ,6.03,6.02,6,6.5,1,1007770001,0,95,985433,211736,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,1123.084537,69027.78297,50939100,2,0,9727,9728,306,68850,25.92666626,31.75333405,5.826667786,27.76058535,1.389988388,8494.739117 +9728,MN,753,29,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,313 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,313 W 29TH STREET PAR,2172,5036,0,5036,0,0,0,0,0,0,2,1,4,10,10,22,98.75,22,58,E,3,N,5,1,95525,444892,0,0,1900,0,0, , ,2.32,4,0,4,1,1007530029,0,97,985236,212373,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,249.676382,2255.236838,349367,6,0,9728,9729,11,2475,28.20800018,32.43444443,4.226444244,29.62177779,1.531788925,325.8395557 +9729,MN,238,35,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,165 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,165 HESTER CORPORATIO,2372,6632,1300,5332,0,1300,0,0,0,0,2,2,4,17,20,23.5,100.92,24,40, ,3,Y,5,5,108000,512100,0,0,1910,0,0, , ,2.8,6.02,6,6.5,1,1002380035,0,41,985222,200817,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,254.6410386,2463.104396,404100,0,0,9729,9730,12,2700,31.90200043,36.27133179,4.36933136,32.30951881,1.203104573,387.7142258 +9730,MN,586,57,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,10 MORTON STREET,R6,C2-6, , , , , , , , ,Y,C7,4,0, ,MORTON STREET ASSOCIA,4500,19380,4500,14880,0,4500,0,0,0,0,2,1,6,32,34,50,90,50,76, ,3,N,5,2,270000,3568500,0,0,1910,0,0,Greenwich Village Historic District Exte, ,4.31,2.43,0,4.8,1,1005860057,0,67,983267,205654,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,286.0378296,4714.319263,3298500,9,0,9730,9731,19,4275,17.38400078,17.38400078,0,17.38400078,0,330.2960148 +9731,MN,411,31,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,137 LUDLOW STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,137 LUDLOW HOLDINGS L,2188,9777,8500,1277,0,8500,0,0,0,0,2,1,4,1,2,25,87.5,25,85, ,3,N,5,2,247500,1749150,0,0,1930,2004,2004, , ,4.47,4,4,4,1,1004110031,0,3001,987455,201750,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,227.3562376,2179.948391,1501650,13,0,9731,9732,9,2025,31.68099976,31.68099976,0,31.68099976,0,285.1289978 +9732,MN,819,77,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,604 AVENUE OF THE AMER,C6-2A,C6-4A, , , , , , , , ,Y,K2,5,0,P,THE AMPY P. GOLDMAN R,16675,53030,53030,0,7820,37390,0,7820,0,0,2,2,4,0,1,92,181.17,92,181, ,2,N,3,2,3752100,14796450,0,0,1923,2013,1996,Ladies' Mile Historic District, ,3.18,6.02,6,6.5,1,1008190077,0,54,985715,208696,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,565.63845,18129.58907,11044400,7,0,9732,9733,80,18000,32.36888886,33.90555573,1.53666687,32.46003885,0.314538991,2596.803108 +9733,MN,438,43,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,269 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,269 E 10TH LLC,2369,8205,0,8205,0,0,0,0,0,0,2,1,5,20,20,25,94.75,25,64, ,3,N,5,2,183600,837900,0,0,1900,0,0, , ,3.46,4,0,4,1,1004380043,0,34,988952,204661,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.6751573,2504.74746,654300,12,0,9733,9734,11,2475,17.98900032,20.94444466,2.955444336,18.75976788,1.159575122,206.3574467 +9734,MN,607,57,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,123 WEST 11 STREET,R6, , , , , , , , , ,N,C5,2,0, ,ESCORP INC,2306,5056,0,5056,0,0,0,0,0,0,2,1,4,9,9,22.33,103.25,22,55,E,3,N,5,1,121970,508813,0,0,1910,1987,2013,Greenwich Village Historic District, ,2.19,2.43,0,4.8,1,1006070057,0,71,984484,207428,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,253.8316566,2402.688872,386843,8,0,9734,9735,11,2475,21.80333328,23.71777725,1.91444397,22.35030296,0.81953508,245.8533325 +9735,MN,172,20,101,31,1007,2,1,10013,L001,5,15,7700,1,1,3B,76 LAFAYETTE STREET,C6-4A, , , , , , , , , ,N,H8,8,0,P,CORAL LAFAYETTE LLC,18504,317464,7000,0,0,7000,0,0,0,0,2,1,17,0,4,120.67,106.83,121,107, ,3,Y,3,2,8865000,36554400,0,0,1920,1999,0, , ,17.16,10,10,10,1,1001720020,0,31,983669,200563,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,633.2778449,20003.12382,27689400,14,0,9735,9736,90,20250,13.85000038,16.05888939,2.208889008,13.90587196,0.295176903,1251.528477 +9736,MN,201,18,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,164 CANAL STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,"ASB GEORGE CANAL, LLC",7063,39224,39224,0,26958,12266,0,0,0,0,2,1,6,0,7,47,100,47,100, ,3,Y,3,2,954000,9562500,0,0,1915,1990,0, , ,5.55,3.44,6,6.5,1,1002010018,0,29,984978,200246,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,403.4548668,7635.228285,8608500,14,0,9736,9737,35,7875,33.0379982,42.38222504,9.344226837,33.79870954,2.486402068,1182.954834 +9737,MN,411,21,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,153 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,153 LUDLOW ST REALTY,2187,11000,1600,9400,0,1600,0,0,0,0,2,1,6,20,22,25,87.5,25,78, ,3,N,5,2,225000,898200,0,0,1900,1986,0, , ,5.03,4,4,4,1,1004110021,0,3001,987527,201936,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.1563353,2334.710887,673200,1,0,9737,9738,11,2475,31.68099976,31.83444405,0.15344429,31.70122199,0.046522584,348.7134418 +9738,MN,498,1,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,92 PRINCE STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,LEMBERG SYNDICATE,2626,6188,3562,2626,0,3562,0,0,0,0,2,1,1,0,1,26,101,26,100, ,3,N,3,2,900000,10465650,0,0,2001,2004,2010,SoHo-Cast Iron Historic District, ,2.36,0,5,6.5,1,1004980001,0,49,984631,203198,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,268.2327385,2923.00162,9565650,0,0,9738,9739,14,3150,29.75499916,33.65333176,3.898332596,30.65555491,1.252871311,429.1777687 +9739,MN,389,24,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,212 EAST 7 STREET,R8B, , , , , , , , , ,N,D3,3,0,O,THE NEW YORK CITY HSG,4544,19163,0,19163,0,0,0,0,0,0,2,1,6,18,18,50,90.83,0,0, ,1,N,5,0,330750,1442250,330750,1442250,2008,0,0, , ,4.22,4,0,4,1,1003890024,0,2602,989834,203147,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,280.6781285,4489.216173,1111500,12,1,9739,9740,18,4050,7.700000286,10.0611105,2.36111021,8.435432275,1.042589401,151.837781 +9740,MN,439,9,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4A,402 EAST 12 STREET,R7A, , , ,C1-5, , , , , ,N,C1,2,0, ,402 EAST 12 REALTY LL,1597,6570,0,6570,0,0,0,0,0,0,2,1,5,16,16,30,53.25,30,42, ,3,N,5,1,256500,916650,0,0,1900,1987,0, , ,4.11,4,0,4,1,1004390009,0,34,988903,205128,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,175.8521902,1805.15362,660150,12,0,9740,9741,8,1800,21.25,21.74699974,0.496999741,21.68487477,0.164367214,173.4789982 +9741,MN,620,49,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,365 BLEECKER STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,BOONE REAL ESTATE LTD,960,2640,1056,1584,0,1056,0,0,0,0,2,1,3,1,2,20,48,20,36,E,3,N,3,5,32719,98325,0,0,1901,0,0,Greenwich Village Historic District, ,2.75,3.44,2,6.5,1,1006200049,0,73,982986,206909,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,146.7175857,1120.049709,65606,9,0,9741,9742,4,900,24.70777702,26.90777779,2.200000763,25.25777721,0.952628275,101.0311089 +9742,MN,390,9,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,304 EAST 8 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,REHABILITATION ACTNET,4826,19548,2000,17548,2000,0,0,0,0,0,2,2,6,16,17,49.5,97.5,49.5,84.5, ,0,N,5,5,315000,956700,0,0,1900,1994,0, , ,4.05,4,0,4,1,1003900009,0,2602,989713,203500,12c, ,102 022,10203, ,1003900009,1/6/1994,1, ,1,17V1.1,0,300.8913678,5114.251089,641700,12,1,9742,9743,23,5175,9.779999733,10.90733337,1.127333641,9.829014239,0.229898412,226.0673275 +9743,MN,309,1,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,44 ORCHARD STREET,C6-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,21919,74191,74191,0,0,0,0,0,0,74191,2,1,5,0,1,125.08,175,125,175, ,2,Y,3,2,2812500,5701050,2812500,5701050,1900,0,0, , ,3.38,6.02,6,6.5,1,1003090001,0,16,986793,200181,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,626.1661871,23834.92202,2888550,13,0,9743,9744,105,23625,34.44444275,38.61000061,4.165557861,35.64867939,1.660119972,3743.111336 +9744,MN,797,73,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,156 WEST 22 STREET,C6-3A, , , , , , , , , ,N,S2,4,0, ,DAMASCO GINO PAUL,2057,4700,1120,3580,0,1120,0,0,0,0,2,1,4,2,3,20.83,98.75,20,56, ,2,N,5,2,124138,259200,1550,1550,1910,1986,0, , ,2.28,7.52,6,7.5,1,1007970073,0,87,985490,209947,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,238.9451888,2029.705439,135062,7,0,9744,9745,10,2250,28.16444397,28.91777802,0.753334045,28.23977737,0.226000214,282.3977737 +9745,MN,538,40,102,65,1006,2,1,10012,L009,6,15,5700,1,2,2A,566 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,W6,8,0,P,NEW YORK UNIVERSITY,23402,232930,232930,0,0,0,0,0,0,232930,2,1,11,0,1,210,121,119.42,209, ,2,Y,3,2,3159450,52678350,3159450,52678350,2000,0,0, , ,9.95,3.44,0,6.5,1,1005380040,0,65,984829,205156,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,663.0973532,23543.38997,49518900,9,0,9745,9746,104,23400,26.76499939,27.94133377,1.176334381,26.7763103,0.114793174,2784.736271 +9746,MN,627,11,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,645 HUDSON STREET,M1-5, , , , , , , , , ,N,S3,4,0, ,KATZ-AUERBACHER CORP,1480,3935,500,3435,0,500,0,0,0,0,2,1,4,3,4,22.5,67,23,43, ,3,Y,5,5,87737,200310,0,0,1910,0,0,Gansevoort Market Historic District, ,2.66,0,5,6.5,1,1006270011,0,79,982668,208572,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,186.1739102,1596.716905,112573,8,0,9746,9747,5,1125,14.72666645,14.72666645,0,14.72666645,0,73.63333225 +9747,MN,915,46,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,222 EAST 35 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,GREGORY HOUSE OWNERS,10077,50796,0,50796,0,0,0,0,0,0,2,1,6,59,59,102,98.75,99,82, ,2,N,3,2,684000,5258700,62200,62200,1942,1988,0, , ,5.04,4,0,4,1,1009150046,0,78,990705,210976,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,406.4358478,10324.28133,4574700,10,0,9747,9748,45,10125,18.38999939,22.50333405,4.113334656,18.69190068,0.980268134,841.1355305 +9748,MN,376,44,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,725 EAST 6 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,EMMANUEL PRESBYTRN CH,18543,7810,7810,0,0,0,0,0,0,7810,2,1,1,0,1,205.8,90.1,87,97, ,1,N,5,0,918000,1868400,0,0,1970,1982,0, , ,0.42,4,0,4,1,1003760044,0,2602,990419,202715,12c, ,102 023,10202,E-216,1003760044,1/21/1993,1, ,1,17V1.1,0,597.673906,19155.16094,950400,12,1,9748,9749,85,19125,7.864444256,13.01000023,5.145555973,11.6655897,0.642131154,991.5751243 +9749,MN,864,49,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,30 EAST 35 STREET,R9X, , , , , , , , , ,N,C5,2,0, ,COMMUNITY CHURCH,2091,6952,0,6952,0,0,0,0,0,0,2,1,4,9,9,21.17,98.75,21,60, ,3,N,5,2,127653,494083,63828,281856,1925,1968,0, , ,3.32,9,0,9,1,1008640049,0,74,989288,211762,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,248.2902101,2174.249262,366430,10,0,9749,9750,10,2250,60.8769989,66.25,5.373001099,61.41429901,1.61190033,614.1429901 +9750,MN,348,23,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,89 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C1,2,0,P,89 CLINTON LLC,2500,10381,0,10381,0,0,0,0,0,0,2,1,5,12,12,25,100,25,54, ,3,N,5,1,205650,1279800,0,0,1920,2008,2008, , ,4.15,4,0,4,1,1003480023,0,1402,988258,201134,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,257.3729049,2564.162007,1074150,13,0,9750,9751,10,2250,24.76333427,24.76333427,0,24.76333427,0,247.6333427 +9751,MN,518,42,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,134 SULLIVAN STREET,R7-2, , , , , , , , , ,N,B1,1,0, ,"SEXTON, BRENDAN III",1650,4752,0,4752,0,0,0,0,0,0,2,2,3,2,2,22,75,22,72, ,3,N,5,2,51360,209709,3380,3380,1900,2013,0,Sullivan-Thompson Historic District, ,2.88,3.44,0,6.5,1,1005180042,0,49,983606,204087,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,202.0180111,1794.16367,158349,9,0,9751,9752,8,1800,20.52111053,20.52111053,0,20.52111053,0,164.1688843 +9752,MN,408,6,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,78 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,78 ORCHARD STREET LLC,2210,8594,1600,6994,0,1600,0,0,0,0,2,1,5,14,16,25.25,87.5,25,86,E,3,N,5,2,77400,1376550,0,0,1920,2004,0, , ,3.89,4,4,4,1,1004080006,0,18,986975,200766,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,236.7989379,2413.478061,1299150,13,0,9752,9753,12,2700,36.36111069,40.22555542,3.864444733,36.68314775,1.0680761,440.197773 +9753,MN,398,55,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,166 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,6678,25625,0,25625,0,0,0,0,0,0,2,2,5,25,25,63,106,0,0, ,0,N,5,5,300600,1784700,0,1475100,1920,1993,0, , ,3.84,4,0,4,1,1003980055,0,3002,988460,202631,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,344.6884489,6885.828155,1484100,1,0,9753,9754,31,6975,19.43000031,23.44444466,4.014444351,20.5383945,1.684245395,636.6902294 +9754,MN,906,34,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,244 EAST 26 STREET,C1-8A, , , , , , , , , ,N,C4,2,0, ,EMGE INC,1480,3200,0,3200,0,0,0,0,0,0,2,1,3,4,4,20,74,20,52, ,3,N,5,5,144150,249337,0,0,1920,0,0, , ,2.16,7.52,2,7.5,1,1009060034,0,66,989788,208804,8d, ,104 007,10308, ,0, ,1, , 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,17V1.1,0,253.7186889,2427.510918,1268100,6,0,9756,9757,11,2475,41.24700165,43.68000031,2.432998657,41.46818334,0.699437936,456.1500168 +9757,MN,515,15,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,479 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0,P,WEST HOUSTON SOHO COM,3257,6250,6250,0,0,6250,0,0,0,0,2,1,2,0,7,200,20,150,20, ,2,Y,3,0,733500,2574000,0,0,1987,0,0,SoHo-Cast Iron Historic District, ,1.92,0,5,6.5,1,1005150015,0,49,984366,203971,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,456.6266696,3476.302912,1840500,9,0,9757,9758,15,3375,20.20444489,26.27111053,6.066665649,21.60512632,2.367119936,324.0768948 +9758,MN,829,42,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,246 5 AVENUE,M1-6,C5-2, , , , , , , , ,Y,O5,5,0, ,"HH 246 FIFTH, LLC",5650,32049,32049,0,28049,4000,0,0,0,0,2,1,6,0,47,28.33,125,28,125, ,3,Y,3,2,1246500,2855957,0,0,1920,2015,0,Madison Square North Historic District, ,5.67,0,10,10,1,1008290042,0,58,987631,210612,8d, ,104 002,10306, ,0, ,1, , 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,17V1.1,7,245.8493316,2452.485508,2163600,5,0,9760,9761,10,2250,34.69888687,37.82333374,3.124446869,35.08748741,0.939789117,350.8748741 +9761,MN,276,25,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,47 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,AN FANG PROPERTY CORP,2295,9185,1740,7445,0,1740,0,0,0,0,2,1,5,14,16,27,85.5,27,74, ,3,N,5,2,86850,384750,0,0,1900,1987,0, , ,4,3.44,0,6.5,1,1002760025,0,8,985755,198665,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,231.6398486,2393.062526,297900,16,0,9761,9762,12,2700,23.59300041,30.20666695,6.613666534,25.14611133,2.593654612,301.753336 +9762,MN,637,81,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,167 PERRY STREET,C1-7,C1-6A, , , , , , , , ,Y,D4,3,0, ,167 HOUSING CORP,13817,60000,0,60000,0,0,0,0,0,0,2,1,6,75,75,88.08,100.25,75,99,E,1,Y,5,2,1800000,8274150,42890,42890,1987,0,0, , ,4.34,6.02,2,6.5,1,1006370081,0,75,981605,207020,12a, ,103 011,10210, ,1006370081,1/6/1986,1,1,1,17V1.1,0,540.8126389,13870.71464,6474150,9,1,9762,9763,62,13950,8.542666435,12.02499962,3.482333183,10.11576842,0.374343998,627.1776419 +9763,MN,19,21,101,13,2002,2,1,10006,E010,1,15,7700,1,1, ,87 GREENWICH STREET,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,"11 RECTOR STREET, LLC",1329,3999,3999,0,0,3999,0,0,0,0,2,1,3,0,1,30.25,45.58,30.25,44, ,0,Y,3,5,320850,656100,0,0,2004,2011,0, , ,3.01,10,15,15,1,1000190021,0,13,980511,197156,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,157.9780033,1452.076002,335250,15,1,9763,9764,6,1350,13.20666695,14.27400017,1.067333221,14.08544461,0.393695532,84.51266766 +9764,MN,479,125,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,39 KENMARE STREET,C6-1, , , , , ,LI, , , ,N,G2,10,0,P,SELDAN REALTY CORP,1180,1145,1145,0,0,0,1145,0,0,0,2,1,1,0,1,23.83,51.75,23.83,50, ,0,Y,5,5,50850,171450,0,0,1920,0,0, , ,0.97,3.44,6,6.5,1,1004790125,0,41,985565,201926,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,154.0126625,1233.839088,120600,0,0,9764,9765,6,1350,38.05444717,38.94444656,0.88999939,38.20278041,0.331683189,229.2166824 +9765,MN,230,20,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,28 GREENE STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,MORGANE GREENE INC.,4924,25750,10400,15350,1800,8600,0,0,0,0,2,1,6,7,9,49.5,100.08,50,97,E,3,Y,5,2,290250,4532850,0,0,1915,2003,0,SoHo-Cast Iron Historic District, ,5.23,0,5,6.5,1,1002300020,0,47,983606,202000,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,305.2281097,5124.413467,4242600,0,1,9765,9766,22,4950,11.39777756,11.50422192,0.106444359,11.40261594,0.022172242,250.8575506 +9766,MN,552,48,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,120 WAVERLY PLACE,R7-2, , , , , , , , , ,N,C5,2,0,P,120 WAVERLY REALTY,2297,4840,0,4840,0,0,0,0,0,0,2,1,4,7,7,22,97.17,22,52,E,3,N,5,1,97425,365166,0,0,1910,0,0,Greenwich Village Historic District, ,2.11,3.44,0,6.5,1,1005520048,0,65,984356,206124,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,259.7524296,2373.417174,267741,9,0,9766,9767,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +9767,MN,579,2,102,37,3007,2,3,10013,L008,1,15,6800,1,2,1B,284 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,S1,4,0,P,"RC EQUITY, LLC",1018,1260,630,630,0,630,0,0,0,0,2,1,2,1,2,18.33,55.5,18.33,35, ,0,N,5,5,15128,58060,0,0,1901,0,0, , ,1.24,0,10,10,1,1005790002,0,37,982201,203534,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,152.7647444,1045.748056,42932,0,0,9767,9768,4,900,13.74444485,14.06700039,0.322555542,13.9863615,0.139670647,55.94544601 +9768,MN,716,7504,104,89,3001,2,3,10011,E003,10,15,5600,1,4, ,459 WEST 18 STREET,R8A, , , ,C2-5, , , , , ,N,RM,4,0, , ,3533,23778,2254,21524,0,0,0,0,0,2254,2,2,11,10,11,50,92,50,92, ,0,N,0,5,192605,4572453,0,1691763,2007,0,0, , ,6.73,6,0,6,1,1007167504,1939,89,982647,210539,8b, ,103 041,10302, ,1007160005,10/6/2008,1, ,1,17V1.1,7,290.8488048,3575.328486,4379850,7,1,9768,9769,16,3600,9.675999641,10.20100021,0.525000572,10.16631961,0.12679927,162.6611137 +9769,MN,743,82,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,158 9 AVENUE,C2-6A, , , , , , , , , ,N,C7,4,0, ,SEMINARY ASSOCAITES,1760,4448,1000,3448,0,1000,0,0,0,0,2,1,4,15,16,22,80,22,49, ,3,N,5,2,50850,691650,0,0,1900,1988,0,Chelsea Historic District, ,2.53,4,2,4,1,1007430082,0,89,983539,210440,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,206.0330422,1731.39887,640800,7,0,9769,9770,8,1800,15.57888889,16.47555542,0.896666527,15.69097221,0.29654458,125.5277777 +9770,MN,423,7,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,139 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,GLOBAL JOINT VENTUREI,5446,14378,14378,0,2335,4335,0,0,0,0,2,2,3,0,6,50.24,109.75,25,109.75, ,3,Y,5,2,562500,1278000,0,0,1920,0,0, , ,2.64,3.44,6,6.5,1,1004230007,0,18,985839,201163,12c, ,101N077,10204, ,1004230007,2/14/2013,1, , ,17V1.1,0,317.240844,5348.262562,715500,0,0,9770,9771,24,5400,34.16999817,35.25744247,1.087444305,34.21530835,0.217299987,821.1674004 +9771,MN,459,19,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,66 EAST 4 STREET,R8B, , , , , , , , , ,N,P5,8,0,P,66-68 E 4TH STREET EN,9617,38000,38000,0,0,0,0,0,0,38000,2,1,4,0,1,50,192.33,50,190, ,0,N,5,5,823500,2430000,823500,2430000,1920,1997,0,East Village/Lower East Side Historic Di, ,3.95,4,0,4,1,1004590019,0,38,986856,203881,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,498.7749639,10043.80252,1606500,1,0,9771,9772,45,10125,35.86666489,38.27111053,2.404445648,36.01881315,0.569825744,1620.846592 +9772,MN,475,3,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,341 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,WEST BROADWAY GLASS C,2482,5500,5500,0,0,5500,0,0,0,0,2,1,2,0,2,49.67,50,50,50, ,3,N,5,2,450000,2827350,0,0,1930,2016,0,SoHo-Cast Iron Historic District, ,2.22,0,5,6.5,1,1004750003,0,47,983310,202511,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,204.8642279,2620.979787,2377350,0,1,9772,9773,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +9773,MN,219,4,101,39,1014,2,1,10013,L008,1,15,7700,1,1,3B,54 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,CELLCO PARTNERSHIP,5901,29500,29500,0,29500,0,0,0,0,0,2,1,5,0,1,75.67,83.25,76,81, ,3,Y,5,2,495000,2131200,0,0,1915,1989,0,Tribeca North Historic District, ,5,6.02,6,6.5,1,1002190004,0,39,981746,202412,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,315.1126697,6134.487527,1636200,0,1,9773,9774,28,6300,10.46666718,10.46666718,0,10.46666718,0,293.0666809 +9774,MN,589,11,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,32 CORNELIA STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0, ,351 E. 61 REALTY,2783,9293,0,9293,0,0,0,0,0,0,2,2,4,26,26,30.17,92.25,30,38, ,0,N,5,5,235350,1083150,0,0,1960,1987,0,Greenwich Village Historic District Exte, ,3.34,3.44,0,6.5,1,1005890011,0,67,983556,205631,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,250.7457334,2846.462338,847800,9,0,9774,9775,13,2925,17.07900047,20.22999954,3.150999069,18.50492316,1.542673743,240.5640011 +9775,MN,741,40,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,308 WEST 18 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,308 EIGHTH NINTH LLC,2136,5760,0,5760,0,0,0,0,0,0,2,1,4,5,5,22,92,22,77, ,3,Y,5,5,121099,203299,0,0,1900,0,0, , ,2.7,4,0,4,1,1007410040,0,83,983872,209714,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,244.909004,2098.386203,82200,7,0,9775,9776,8,1800,19.42666817,19.42666817,0,19.42666817,0,155.4133453 +9776,MN,552,32,102,65,1001,2,1,10012,L009,6,15,5700,1,2,2A,141 WEST 4 STREET,R7-2, , , , , , , , , ,N,I7,8,0,P,AHRC NYC NEW PROJECTS,2214,2898,2898,0,0,0,0,0,0,2898,2,1,3,0,1,23,96.25,23,42, ,0,N,5,5,171900,437400,171900,437400,1900,2001,0,Greenwich Village Historic District, ,1.31,3.44,0,6.5,1,1005520032,0,65,984220,205797,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,245.9425565,2449.096594,265500,9,0,9776,9777,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +9777,MN,355,39,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,168 NORFOLK STREET,R7A, , , , , , , , , ,N,C6,2,0,P,168 NORFOLK STREET HD,2500,7300,800,6500,0,800,0,0,0,0,2,1,5,20,21,25,100,25,48, ,3,N,5,1,180000,253350,20535,20535,1920,1987,0, , ,2.92,4,0,4,1,1003550039,0,3001,988194,201938,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,256.3257132,2566.219636,73350,1,0,9777,9778,11,2475,27.44000053,28.50666618,1.066665649,27.66035392,0.347520431,304.2638931 +9778,MN,715,2,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,116 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,N.E.W. CORP.,2468,3630,3630,0,0,3630,0,0,0,0,2,1,1.5,0,1,25,100,25,97, ,3,N,5,0,135000,1081350,0,0,1930,2004,0, , ,1.47,7.52,6,10,1,1007150002,0,83,982478,210365,8b, ,103 041,10302,E-142,0, ,1, ,1,17V1.1,0,260.1208642,2744.298432,946350,7,1,9778,9779,11,2475,11.21000004,11.21000004,0,11.21000004,0,123.3100004 +9779,MN,422,57,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,245 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,245 ELDRIDGE BUILDING,3700,14161,2360,11801,0,2360,0,0,0,0,2,1,6,10,12,37,100,37,84, ,2,N,5,2,792000,1672650,0,0,1900,1982,0, , ,3.83,4,4,4,1,1004220057,0,3601,987052,202601,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,280.9254194,3840.767952,880650,1,0,9779,9780,18,4050,36.93666458,41.47555542,4.538890839,37.2710105,1.074393753,670.8781891 +9780,MN,882,3,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,369 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0,P,373-381 PAS ASSOCIATE,8032,89311,89311,0,83411,5500,0,400,0,0,2,1,12,0,17,49.33,120.83,49.33,120.83, ,3,Y,4,2,3451500,8636400,0,0,1911,0,0, , ,11.12,10,10,10,1,1008820003,0,68,988590,209649,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,448.4962252,8209.842216,5184900,11,0,9780,9781,36,8100,33.85400009,33.85400009,0,33.85400009,0,1218.744003 +9781,MN,539,28,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,217 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,217 THOMPSON REALTY L,5000,25144,3706,21438,0,3706,0,0,0,0,2,1,7,45,47,50,100,50,86, ,3,N,5,2,508500,3712050,0,0,1920,1988,0,South Village Historic District, ,5.03,3.44,0,6.5,1,1005390028,0,65,984428,204936,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,303.752743,5119.463023,3203550,9,0,9781,9782,23,5175,25.23555565,25.23555565,0,25.23555565,0,580.4177799 +9782,MN,501,33,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,145 SPRING STREET,M1-5A, , , , , , , , , ,N,D2,3,0, ,"145 SPRING JSRE TIC,",1875,15421,3856,11565,1928,1928,0,0,0,0,2,1,8,6,7,25,75,25,75,E,3,N,5,2,497840,1277386,0,0,1910,1986,2006,SoHo-Cast Iron Historic District, ,8.22,0,5,6.5,1,1005010033,0,49,983918,203195,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,204.2201646,1949.584222,779546,0,0,9782,9783,8,1800,15.00755596,15.00755596,0,15.00755596,0,120.0604477 +9783,MN,218,2,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,74 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,LAIGHT COOP CORP,2570,28016,0,28016,0,0,0,0,0,0,2,1,10,10,10,42.5,60.5,42,60, ,2,Y,3,2,554204,1109326,2360,2360,1915,1984,2008,Tribeca North Historic District, ,10.9,6.02,6,6.5,1,1002180002,0,39,981380,202450,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,211.7381943,2717.199188,555122,14,1,9783,9784,13,2925,7.816666603,7.816666603,0,7.816666603,0,101.6166658 +9784,MN,585,27,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,89 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,975,3815,0,3815,0,0,0,0,0,0,2,1,5,5,5,19,51.33,19,40, ,3,N,5,2,103320,245005,5411,5411,1910,1982,0,Greenwich Village Historic District, ,3.91,2.43,0,4.8,1,1005850027,0,73,982767,205950,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,141.6328208,1011.216008,141685,9,0,9784,9785,4,900,18.5988884,18.5988884,0,18.5988884,0,74.39555359 +9785,MN,551,10,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,21 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,C1,2,0, ,NEW YORK UNIVERSITY,3440,7785,0,7785,0,0,0,0,0,0,2,3,3.5,7,7,25,136.75,25,86, ,3,Y,5,5,126013,614109,95768,466720,1900,1985,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1005510010,0,63,984874,206003,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,331.4268815,3493.98975,488096,8,0,9785,9786,15,3375,21.12199974,24.75111198,3.629112244,21.90702209,1.364265112,328.6053314 +9786,MN,285,24,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,203 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,M9,8,0,P,201 EB DEVELOPMENT II,2144,6085,6085,0,0,0,0,0,0,6085,2,1,5,0,1,24.5,87.5,25,57,E,3,N,5,1,191250,430200,0,0,1900,0,0, , ,2.84,3.44,0,6.5,1,1002850024,0,6,987577,199409,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,236.0255411,2345.612757,238950,13,0,9786,9787,11,2475,23.9640007,27.74222183,3.77822113,24.74907112,1.372157228,272.2397823 +9787,MN,528,19,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,228 WEST HOUSTON STREET,C2-6, , , , , , , , , ,N,L9,6,0, ,228 WEST HOUSTON STRE,1950,9765,9765,0,0,1953,0,7812,0,0,2,1,5,1,5,25,84.67,25,77, ,3,Y,4,2,209250,854100,0,0,1900,2014,2015, , ,5.01,3.44,2,6.5,1,1005280019,0,67,982876,204786,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,214.1955944,2049.547898,644850,9,0,9787,9788,9,2025,15.38333321,15.38333321,0,15.38333321,0,138.4499989 +9788,MN,621,13,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,96 PERRY STREET,C1-6, , , , , , , , , ,N,D4,3,0, ,96 PERRY ST CORP,3680,16986,0,16986,0,0,0,0,0,0,2,1,6,36,36,38.67,95.17,39,84, ,2,N,5,2,324000,1842750,14160,14160,1930,1985,0,Greenwich Village Historic District, ,4.62,3.44,2,6.5,1,1006210013,0,73,982784,207074,12a, ,103 015,10210, ,0, ,1, , 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+9809,MN,411,25,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,145 LUDLOW STREET,C4-4A, , , , , , , , , ,N,D7,4,0, ,145 LUDLOW LLC,3266,17032,3266,13766,0,3266,0,0,0,0,2,1,6,10,12,37.33,87.5,37.33,87.5, ,3,N,5,2,985500,2940300,0,0,2014,0,0, , ,5.21,4,4,4,1,1004110025,0,3001,987497,201860,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,255.0818722,3410.159052,1954800,1,0,9809,9810,15,3375,31.68099976,35.92889023,4.247890472,34.42280757,1.179773268,516.3421135 +9810,MN,642,69,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,83 JANE STREET,R6, , , , , , , , , ,N,C0,2,0, ,"WEXLER, TANYA",2011,4648,0,4648,0,0,0,0,0,0,2,1,4,3,3,23,87.42,23,50, ,2,N,5,2,40860,196027,0,0,1899,0,0,Greenwich Village Historic District, ,2.31,2.43,0,4.8,1,1006420069,0,79,982203,208268,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,232.5482375,2158.165722,155167,8,1,9810,9811,6,1350,10.79777813,14.51333332,3.715555191,11.41703733,1.384705664,68.50222397 +9811,MN,924,55,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,320 EAST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,VISORO LLC,1924,4268,0,4268,0,0,0,0,0,0,2,1,3,6,6,20.92,92,21,52, ,3,N,5,5,101407,431841,0,0,1930,1969,0, , ,2.22,3,0,3,1,1009240055,0,48,989241,207020,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,231.627071,1999.198843,330434,5,0,9811,9812,10,2250,14.83555603,18.73999977,3.904443741,15.95565567,1.53688758,159.5565567 +9812,MN,387,124,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,630 EAST 6 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,LESC LP,6025,11418,0,11418,0,0,0,0,0,0,2,1,4.5,40,40,62.08,97,40,67,E,1,N,5,1,189900,966600,189900,966600,1900,2000,0, , ,1.9,4,0,4,1,1003870124,0,2601,989667,202958,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,326.1606339,6270.869423,776700,1,1,9812,9813,27,6075,9.736666679,11.30999947,1.573332787,10.3478722,0.305416932,279.3925495 +9813,MN,803,62,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,140 WEST 28 STREET,M1-6, , , , , , , , , ,N,G6,10,0, ,140 WEST 28 OWNER LLC,7571,0,0,0,0,0,0,0,0,0,7,1,0,0,0,76.67,98.75,0,0, ,0,N,5,5,3553200,3553200,0,0,0,0,0, , ,0,0,10,10,1,1008030062,0,95,986347,211283,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,344.3206328,7237.281789,0,2,0,9813,9814,31,6975,36.07888794,37.79555511,1.716667175,36.98029401,0.376986025,1146.389114 +9814,MN,889,34,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,163 EAST 33 STREET,R8B, , , , , , , , , ,N,S4,4,0,P,IFARCO INC,1975,3520,400,3120,0,400,0,0,0,0,2,1,4,4,5,20,98.25,20,44, ,3,N,5,5,148676,344500,0,0,1910,0,0, , ,1.78,4,0,4,1,1008890034,0,72,990045,210885,8d, ,104 020,10307, ,1008890032,9/25/1991,1, , ,17V1.1,0,241.2263677,2012.262387,195824,10,0,9814,9815,9,2025,24.63888931,24.63888931,0,24.63888931,0,221.7500038 +9815,MN,107,35,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,244 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,D0,3,0,P,"MVII, LLC",2627,15765,0,15765,0,0,0,0,0,0,2,1,6,5,5,27.33,85.17,27,82, ,2,Y,5,2,219741,824720,0,0,1920,1986,0,South Street Seaport Historic District, ,6,6.02,6,6.5,1,1001070035,0,1501,983919,197303,12b,Y,101S023,10103, ,0, ,1,1,1,17V1.1,0,254.683085,2789.043666,604979,4,1,9815,9816,12,2700,6.452000141,6.452000141,0,6.452000141,0,77.42400169 +9816,MN,775,58,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,226 WEST 26 STREET,C6-2A, , , , , , , , , ,N,O6,5,0,P,"226 WEST 26TH STREET,",11113,103873,103873,0,76173,7000,0,0,0,20700,2,2,10,0,12,112.5,98.75,90.75,88.75, ,0,Y,5,5,1291500,8616150,0,0,1928,1983,0, , ,9.35,6.02,6,6.5,1,1007750058,0,91,985445,211194,8d, ,105S010,10304,E-92,0, ,1, , ,17V1.1,0,425.8147695,11296.43574,7324650,2,0,9816,9817,50,11250,26.32299995,28.94111061,2.618110657,26.49370216,0.59850793,1324.685108 +9817,MN,883,46,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,380 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0,P,THIRD & TWENTY EIGHT,2962,11750,2750,9000,0,2750,0,0,0,0,2,1,5,16,17,24.67,120,25,102,E,3,N,5,2,405000,1600650,0,0,1930,2006,0, , ,3.97,10,2,10,1,1008830046,0,68,989378,209503,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,295.8391619,3111.980706,1195650,11,0,9817,9818,14,3150,39.41899872,39.41899872,0,39.41899872,0,551.8659821 +9818,MN,933,25,106,66,8000,2,2,10016,E016,13,14,5800,1,6,2A,463 1 AVENUE,R8, , , ,C2-5, , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,44650,218666,0,218666,0,0,0,0,0,0,2,1,26,225,225,197.5,250,161,184, ,1,N,3,2,3892500,18584100,3892500,18584100,1970,2012,0, , ,4.9,6.02,0,6.5,1,1009330025,0,66,990627,208860,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,953.5001829,50224.26444,14691600,11,0,9818,9819,224,50400,17.55666542,25.22444534,7.667779922,21.22274288,2.480239599,4753.894405 +9819,MN,640,54,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,332 WEST 12 STREET,R6, , , , , , , , , ,N,B1,1,0, ,MATTESON GEORGE A,885,2560,0,1920,0,0,0,0,0,0,2,1,3,2,2,20,44.25,20,32, ,3,N,5,1,30854,107827,0,0,1910,0,0,Greenwich Village Historic District, ,2.89,2.43,0,4.8,1,1006400054,0,79,982374,207936,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,130.604537,906.035573,76973,8,0,9819,9820,3,675,11.96800041,12.68555546,0.717555046,12.20718543,0.338258693,36.62155628 +9820,MN,764,1,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,80 8 AVENUE,C6-2A, , , , , , , , , ,N,O4,5,0,P,THE BET ELI COMPANY D,9653,185198,185198,0,180198,5000,0,0,0,0,2,1,20,0,0,103.25,93.5,103.25,93, ,0,N,3,2,2232000,19084950,0,0,1930,0,0, , ,19.19,6.02,6,6.5,1,1007640001,0,81,983681,208827,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,411.665794,10514.01852,16853000,7,0,9820,9821,47,10575,22.05333328,23.08888817,1.035554886,22.13152946,0.259177022,1040.181885 +9821,MN,719,13,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,449 WEST 21 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"TOBIN, WILLIAM DAVID",1646,5181,0,4203,0,0,0,0,0,0,2,1,5,1,1,16.67,98.75,17,52, ,3,N,5,1,35556,110644,0,0,1900,1982,2013,Chelsea Historic District, ,3.15,3,0,3,1,1007190013,0,89,983136,211136,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,237.2572368,1642.063646,75088,7,1,9821,9822,7,1575,9.307999611,9.554444313,0.246444702,9.343205997,0.086237681,65.40244198 +9822,MN,477,72,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,58 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0, ,BROOME PROPERTY OWNER,1645,26739,2139,24600,0,2139,0,0,0,0,2,2,25,10,11,21,80.5,0,0, ,0,Y,5,5,216900,698400,0,0,0,0,0, , ,16.25,0,10,10,1,1004770072,0,37,982743,203010,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,193.8460337,1636.647693,481500,0,0,9822,9823,6,1350,12.40699959,13.03499985,0.628000259,12.68611081,0.287701267,76.11666489 +9823,MN,434,136,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,443 EAST 6 STREET,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,LELDS ASSOCIATES LLC,759,3670,600,3070,0,600,0,0,0,0,2,1,5,8,10,22.83,33.25,33,22, ,3,N,5,2,30258,72976,0,0,1900,1983,0,East Village/Lower East Side Historic Di, ,4.84,4,0,4,1,1004340136,0,32,988606,203678,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,113.5003795,788.1262527,42718,1,0,9823,9824,3,675,18.26222229,18.26222229,0,18.26222229,0,54.78666687 +9824,MN,353,7501,103,18,3000,1,1,10002,L018,7,14,7400,2,3, ,103 NORFOLK STREET,R7A,C4-4A, , , , , , , , ,Y,RM,4,0, , ,5000,36891,2690,34201,0,2690,0,0,0,0,2,1,16,30,31,50,100,49.87,80, ,0,N,5,5,337503,6033153,0,1178719,2005,0,0, , ,7.38,4,0,4,1,1003537501,1647,18,987742,201189,12c, ,101N079,10201, ,1003530035,2/22/2007,1, , ,17V1.1,7,304.1384044,5058.341904,5695650,13,0,9824,9825,22,4950,29.00666618,30.13299942,1.126333237,29.05786315,0.234613969,639.2729893 +9825,MN,886,15,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,121 EAST 30 STREET,C4-5A, , , , , , , , , ,N,O2,5,0, ,SBG USA CORP.,1901,5899,5899,0,5899,0,0,0,0,0,2,1,5,0,1,19.25,98.75,19.25,50,E,3,N,5,2,382500,658350,0,0,1987,1983,0, , ,3.1,4,4,4,1,1008860015,0,72,989197,210470,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,250.3797248,2138.470849,275850,10,0,9825,9826,10,2250,33.23199844,34.36111069,1.129112244,33.45773201,0.450028033,334.5773201 +9826,MN,461,50,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,213 EAST 5 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,TRES TWO,2425,9455,0,9455,0,0,0,0,0,0,2,1,5,10,10,25,97,25,78, ,3,N,5,2,41222,165173,0,0,1900,1984,2012,East Village/Lower East Side Historic Di, ,3.9,4,0,4,1,1004610050,0,38,986930,204361,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,253.6698769,2597.947032,123951,1,0,9826,9827,11,2475,36.55199814,40.20000076,3.648002625,36.88363474,1.048727019,405.7199821 +9827,MN,803,37,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,799 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S4,4,0, ,THUNDER ROAD ASSOCS L,1200,5010,1200,3810,0,1200,0,0,0,0,2,1,5,4,5,20,60,20,60,E,3,N,5,5,272489,803842,0,0,1915,2006,2001, , ,4.18,10,10,10,1,1008030037,0,95,986724,210964,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,166.0793099,1264.945591,531353,2,0,9827,9828,5,1125,37.16799927,37.16799927,0,37.16799927,0,185.8399963 +9828,MN,521,83,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,298 BOWERY,C6-1, , , , , ,LI, , , ,N,L8,6,0, ,"LU YI REALTY,",2087,8352,8352,0,0,2088,0,6264,0,0,2,1,4,0,3,25.5,83.42,26,82, ,3,N,5,2,202500,1046700,0,0,1910,1982,0, , ,4,3.44,6,6.5,1,1005210083,0,5502,986240,203267,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,223.0678574,2146.693602,844200,9,0,9828,9829,8,1800,43.41222,43.41222,0,43.41222,0,347.29776 +9829,MN,245,7,103,2.01,2001,1,1,10002,E015,7,14,8000,1,3,1B,292 SOUTH STREET,C6-4, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,84902,91460,91460,0,0,0,0,0,0,91460,2,1,4,0,1,277.67,309.17,275,130, ,1,Y,3,0,4225500,13236750,4225500,13236750,1966,1982,2009, , ,1.08,10,10,10,1,1002450007,0,201,988287,198359,12d, ,101N057,10106, ,0, ,1, ,1,17V1.1,0,1183.121652,87201.13945,9011250,16,1,9829,9830,387,87075,14.17277718,22.43111038,8.258333206,17.28956113,2.331710598,6691.060158 +9830,MN,594,112,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,497 CANAL STREET,C6-2A, , , , , , , , , ,N,O2,5,0, ,"STATHIS ENTERPRISES,",770,1417,1417,0,1417,0,0,0,0,0,2,1,2,0,1,17.08,32,17.08,30, ,2,Y,5,2,97650,241200,0,0,1899,0,0, , ,1.84,6.02,6,6.5,1,1005940112,0,37,981938,203140,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,156.7249707,777.6723973,143550,0,1,9830,9831,5,1125,7.988888741,7.988888741,0,7.988888741,0,39.9444437 +9831,MN,535,36,102,55.01,1001,2,1,10012,L009,6,15,5700,1,2,2A,17 WEST 3 STREET,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,21945,119170,119170,0,0,0,0,0,0,119170,2,1,13,0,3,105,209,105,209, ,1,N,4,1,2421000,13357350,2421000,13357350,1975,0,0, , ,5.43,3.44,0,6.5,1,1005350036,0,5501,985450,204752,12c, ,103 008,10207, ,0, ,1, , ,17V1.1,0,644.8918743,22634.99979,10936400,9,0,9831,9832,100,22500,35.93299866,38.97666931,3.043670654,37.40304592,0.917470451,3740.304592 +9832,MN,697,42,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,508 WEST 26 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0,P,WEST CHELSEA BUILDING,12343,146416,146416,0,126422,19026,0,968,0,0,2,1,9,0,46,125,98.75,125,98, ,0,N,5,5,1224000,9700200,0,0,1927,2004,0,West Chelsea Historic District, ,11.86,0,5,6.5,1,1006970042,0,99,983211,212432,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,455.1865017,12785.9454,8476200,2,1,9832,9833,57,12825,8.930000305,10.89333344,1.96333313,9.079746865,0.457062195,517.5455713 +9833,MN,285,18,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,215 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,O5,5,0,P,"215 EAST BROADWAY NY,",2100,8524,5324,3200,3524,1800,0,0,0,0,2,1,4,7,11,24,87.5,24,86,E,3,N,5,2,139950,558000,0,0,1910,1989,0, , ,4.06,3.44,0,6.5,1,1002850018,0,6,987725,199425,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,233.1854753,2253.518863,418050,13,0,9833,9834,9,2025,23.9640007,30.2788887,6.314888,25.3301487,2.557044241,227.9713383 +9834,MN,497,11,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,550 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,ROYAL CROSPIN CORP,3500,16125,12900,3225,6450,6450,0,0,0,0,2,1,5,1,6,35.08,99.92,35,100, ,3,N,5,2,787500,6323400,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.61,0,5,6.5,1,1004970011,0,43,984805,202884,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,280.9276534,3718.277082,5535900,0,0,9834,9835,17,3825,31.61100006,35.45444489,3.843444824,32.03833344,1.17253867,544.6516685 +9835,MN,617,1,102,77,1002,2,3,10011,Q018,6,15,6100,1,2,3B,76 GREENWICH AVENUE,C2-7, , , , , , , , , ,N,Q1,9,0,P,NYC PARKS,15845,0,0,0,0,0,0,0,0,0,7,2,0,0,0,263.75,156.17,0,0, ,0,N,3,5,1956150,1956150,0,0,0,0,0,Greenwich Village Historic District, ,0,7.52,2,10,1,1006170001,0,77,983923,207858,12a,Y,103 031,10209,R-214,0, ,1, , ,17V1.1,0,634.3026019,16719.8481,0,8,0,9835,9836,74,16650,26.62555504,30.90888977,4.283334732,28.59312027,1.493829436,2115.8909 +9836,MN,413,7501,103,18,6000,2,1,10002,L006,5,14,7400,2,3, ,75 ALLEN STREET,C4-4A, , , , , , , , , ,N,RM,4,0,P,ALLEN PLAZA ASSOCIATI,2493,7954,3046,4908,0,3046,0,0,0,0,2,1,6,18,19,27.52,88.27,0,0, ,0,Y,5,5,211498,1242896,14225,35251,1900,1987,0, , ,3.19,4,4,4,1,1004137501,558,18,986603,200806,12c, ,101N078,10204, ,1004130021,10/7/1988,1, , ,17V1.1,7,239.1050479,2511.613759,1031400,13,0,9836,9837,10,2250,39.72000122,39.72000122,0,39.72000122,0,397.2000122 +9837,MN,193,24,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,297 CHURCH STREET,C6-2A, , , , , , , , , ,N,S4,4,0, ,MOSKOWITZ ROBERT T,1124,5610,1122,4488,0,1122,0,0,0,0,2,1,5,4,5,22,51.08,22,48, ,3,N,5,5,297099,420945,0,0,1910,0,0,Tribeca East Historic District, ,4.99,6.02,6,6.5,1,1001930024,0,33,983057,201293,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,151.6159343,1196.577055,123846,14,0,9837,9838,6,1350,13.68111134,15.0755558,1.394444466,14.08238904,0.578064429,84.49433422 +9838,MN,769,55,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,230 WEST 20 STREET,R8B, , , , , , , , , ,N,Y2,8,0,C,POLICE DEPARTMENT,4496,20110,20110,0,20110,0,0,0,0,0,2,1,5,0,1,50,89.25,50,80, ,3,Y,5,2,634500,1296000,634500,1296000,1920,1984,0, , ,4.47,4,0,4,1,1007690055,0,87,984623,209859,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,289.7919744,4782.881393,661500,7,0,9838,9839,21,4725,21.88888931,22.18422127,0.295331955,21.90295274,0.062893555,459.9620075 +9839,MN,449,5,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,126 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,J9,5,0, ,"ORPHEUM LIVE, LLC",3334,6588,6588,0,1588,0,0,0,0,5000,2,1,3,0,2,26.67,125,27,122, ,3,N,5,2,337500,684450,0,0,1930,1984,0, , ,1.98,4,0,4,1,1004490005,0,38,987711,204578,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,311.0032751,3521.199179,346950,12,0,9839,9840,16,3600,26.66699982,31.45088768,4.783887863,26.96599281,1.157994877,431.4558849 +9840,MN,204,16,102,41,3002,2,1,10013,L006,5,15,6800,1,2,1F,59 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,Z4,8,0,X,OVERSEA CHINESE MISSI,5470,46000,46000,0,0,0,0,0,0,46000,2,1,9,1,3,99.83,54.5,100,55, ,2,N,3,2,472500,3255750,472500,3255750,1920,1987,0, , ,8.41,6.02,6,6.5,1,1002040016,0,41,985188,200671,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,316.6991279,5778.10243,2783250,0,0,9840,9841,24,5400,36.00444412,39.08111191,3.076667786,36.13263861,0.614799181,867.1833267 +9841,MN,804,63,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,142 WEST 29 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,RATNA REALTY INC,3224,6051,6051,0,0,3000,0,3051,0,0,2,1,2,0,3,32.5,98.75,33,96, ,3,N,5,2,301500,760050,0,0,1929,0,0, , ,1.88,0,10,10,1,1008040063,0,95,986468,211510,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,269.2277563,3347.965128,458550,6,0,9841,9842,14,3150,33.49399948,36.92711258,3.433113098,33.73922185,0.884161808,472.3491058 +9842,MN,629,29,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,304 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,304-10 W 14 REALTY LL,8772,38376,5000,33376,0,5000,0,0,0,0,2,1,6,66,73,100,98,84,89,E,3,Y,5,2,1458000,6376050,0,1325461,1905,0,0, , ,4.37,6.02,6,6.5,1,1006290029,0,77,983328,208805,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,386.3407712,9190.250301,4918050,8,0,9842,9843,41,9225,16.45777702,21.65555573,5.197778702,17.09590726,1.584164214,700.9321976 +9843,MN,626,53,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,49 JANE STREET,R6, , , , , , , , , ,N,C4,2,0, ,LEVINSOHN CHARLES,2406,8727,0,8727,0,0,0,0,0,0,2,1,4,10,10,27.5,87.5,28,81,E,3,N,5,1,113044,338839,8991,8991,1901,1964,0,Greenwich Village Historic District, ,3.63,2.43,0,4.8,1,1006260053,0,77,982886,208267,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,235.3942761,2455.108164,225795,8,0,9843,9844,12,2700,17.68444443,21.13222122,3.447776794,18.20731481,1.176027719,218.4877777 +9844,MN,492,10,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,208 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,O5,5,0, ,204-210 ELIZABETH STR,5018,23970,23970,0,15000,5000,0,3970,0,0,2,1,4,0,5,51.25,97.92,51,94, ,3,N,5,2,562500,3958200,0,0,1900,2006,0, , ,4.78,6.02,6,6.5,1,1004920010,0,43,985889,202394,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,300.5304475,5058.144134,3395700,0,0,9844,9845,22,4950,39.76666641,44.97288895,5.206222534,42.62865621,2.313763332,937.8304367 +9845,MN,539,13,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,235 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0,P,235 SULLIVAN CO,1017,4163,600,3563,0,600,0,0,0,0,2,1,5,8,9,20.33,50,20,50, ,3,N,5,2,74179,301207,0,0,1900,0,0,South Village Historic District, ,4.09,3.44,0,6.5,1,1005390013,0,65,984418,205152,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,145.7563817,1074.711802,227028,9,0,9845,9846,4,900,25.23555565,25.23555565,0,25.23555565,0,100.9422226 +9846,MN,562,30,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,787 BROADWAY,R7-2,C6-1, , , , , , , , ,Y,H8,8,0,P,NEW YORK UNIVERSITY,9150,135910,0,0,0,0,0,0,0,0,2,1,16,0,1,53.5,168.33,53.5,168, ,3,Y,3,2,2925000,11076750,2925000,11076750,1929,0,0, , ,14.85,3.44,0,6.5,1,1005620030,0,61,986522,205977,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,524.0233312,9528.247833,8151750,8,0,9846,9847,42,9450,34.39444351,34.39444351,0,34.39444351,0,1444.566628 +9847,MN,588,63,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,318 BLEECKER STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,318-22 BLEECKER STREE,1717,6416,1494,4922,0,1494,0,0,0,0,2,1,4,6,9,62.25,27.42,62,27, ,3,N,5,2,151027,508861,0,0,1910,0,0,Greenwich Village Historic District, ,3.74,3.44,2,6.5,1,1005880063,0,73,983081,206354,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,186.5552865,1863.794638,357834,9,0,9847,9848,8,1800,20.90555573,26.10111237,5.195556641,21.55500031,1.718268849,172.4400024 +9848,MN,393,39,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,163 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,CASI ALBA HOUSING DEV,1738,8690,1000,7690,0,1000,0,0,0,0,2,1,5,7,8,22,79,22,79, ,0,N,3,5,89067,381715,89067,381715,1900,1993,0, , ,5,4,0,4,1,1003930039,0,28,990423,203804,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,207.3946943,1909.796502,292648,12,1,9848,9849,8,1800,7.409999847,8.057777405,0.647777557,7.490972042,0.21423229,59.92777634 +9849,MN,452,30,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,177 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0, ,DONZELLI RLTY CORP,1536,5667,1417,4250,0,1417,0,0,0,0,2,1,4,6,9,23.5,64,23.5,64, ,0,Y,3,5,36615,278965,0,0,1900,0,0, , ,3.69,4,0,4,1,1004520030,0,40,988591,205015,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,179.7870909,1628.213205,242350,12,0,9849,9850,8,1800,22.86222267,23.74888802,0.886665344,23.01875019,0.300790383,184.1500015 +9850,MN,399,26,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,234 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"GJW 4TH ST, LLC",4616,18690,2000,16690,0,2000,0,0,0,0,2,1,6,28,31,48,96.17,48,82, ,2,N,5,2,242550,1641600,0,0,1900,0,0, , ,4.05,4,0,4,1,1003990026,0,32,988921,202795,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,296.8039207,4819.364829,1399050,1,0,9850,9851,22,4950,18.04222298,19.62433434,1.582111359,18.12205124,0.32982052,398.6851273 +9851,MN,473,43,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1F,180 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D7,4,0, ,180 LAFAYETTE CORP,2540,17400,3000,14400,0,3000,0,0,0,0,2,1,7,6,7,25,100.25,25,96, ,3,N,5,2,155975,1620000,0,0,1915,2003,0,SoHo-Cast Iron Historic District Extensi, ,6.85,0,5,6.5,1,1004730043,0,45,984557,201842,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,254.5499293,2518.030652,1464030,0,0,9851,9852,12,2700,23.92666626,26.17399979,2.247333527,25.98672199,0.621130174,311.8406639 +9852,MN,434,1,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,100 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,D6,4,0,P,100 FIRST AVENUE ALDO,1155,6049,1100,4949,0,1100,0,0,0,0,2,1,5,7,8,16.5,70,17,68, ,3,N,3,2,53166,152102,0,0,1920,1980,2005, , ,5.24,4,0,4,1,1004340001,0,32,988171,203916,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,179.4322364,1291.408765,98936,1,0,9852,9853,6,1350,20.12299919,24.63366699,4.510667801,20.87477716,1.681026638,125.2486629 +9853,MN,913,37,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,252 EAST 33 STREET,C1-8A, , , , , , , , , ,N,C5,2,0,P,BIZLAND INC,1233,3015,800,2215,0,800,0,0,0,0,2,1,3,8,10,16.67,74,17,44, ,3,N,5,1,72835,263473,0,0,1920,0,0, , ,2.45,7.52,2,7.5,1,1009130037,0,70,990672,210375,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,183.6149577,1260.539307,190638,10,0,9853,9854,6,1350,19.78333282,20.68666649,0.903333664,19.93388844,0.33665258,119.6033306 +9854,MN,567,17,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,22 EAST 10 STREET,R7-2,C1-7, , , , , , , , ,Y,C2,2,0, ,TENTH STREET PROPERTI,2307,5598,0,5598,0,0,0,0,0,0,2,1,4,5,5,25,92.25,25,65,E,3,N,5,5,297932,499817,0,0,1910,0,0,Greenwich Village Historic District, ,2.43,3.44,0,6.5,1,1005670017,0,59,985802,206232,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,242.0390776,2400.470855,201885,8,0,9854,9855,10,2250,29.25900078,32.35222244,3.093221664,30.1996006,1.370940248,301.996006 +9855,MN,107,34,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1,1B,246 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,D6,4,0,P,246 FRONT LLC,2278,10782,1048,9734,0,1048,0,0,0,0,2,1,7,6,7,19.92,145.07,20,145, ,3,Y,4,2,372139,536157,0,0,2015,2015,0,South Street Seaport Historic District, ,4.73,6.02,6,6.5,1,1001070034,0,1501,983950,197301,12b,Y,101S023,10103, ,0, ,1,1,1,17V1.1,0,340.1022261,2217.166974,164018,4,1,9855,9856,11,2475,6.215000153,8.187777519,1.972777367,6.773080869,0.787795839,74.50388956 +9856,MN,873,28,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,135 EAST 17 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,EAST 17TH LLC,5773,22512,0,22512,0,0,0,0,0,0,2,1,7,45,45,62.75,92,63,63, ,3,N,5,0,702000,3341700,0,0,1963,1984,0, , ,3.9,4,0,4,1,1008730028,0,50,988022,207308,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,312.5578352,5862.294631,2639700,5,0,9856,9857,25,5625,30.77444458,31.85555649,1.081111908,31.04184891,0.231995848,776.0462227 +9857,MN,770,53,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,222 WEST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,MONDIONE LLC,2029,8540,0,8540,0,0,0,0,0,0,2,1,5,9,9,19.25,105.42,19,94, ,3,Y,5,2,168126,627623,0,0,1920,1974,2014, , ,4.21,4,0,4,1,1007700053,0,87,984859,209997,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,257.6420358,2095.752094,459497,7,0,9857,9858,9,2025,22.20999908,22.20999908,0,22.20999908,0,199.8899918 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+9885,MN,617,29,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,96 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S2,4,0,P,LYONS THOMAS J,1789,2625,866,1759,0,866,0,0,0,0,2,1,3,2,3,20.83,84,20.83,44, ,3,Y,5,2,45086,132710,0,0,1910,0,0,Greenwich Village Historic District, ,1.47,3.44,2,6.5,1,1006170029,0,77,983788,208153,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,213.0462121,1790.153271,87624,8,0,9885,9886,8,1800,23.28222275,23.28222275,0,23.28222275,0,186.257782 +9886,MN,214,26,101,39,4000,2,1,10013,L008,1,15,7700,1,1,3B,49 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0,P,PONTE EQUITIES INC,1334,7200,1200,6000,0,1200,0,0,0,0,2,1,5,8,10,46,45,46,28, ,2,Y,3,2,42887,213726,0,0,1910,0,0,Tribeca West Historic District, ,5.4,6.02,6,6.5,1,1002140026,0,39,981710,201883,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,158.0009282,1473.768115,170839,14,0,9886,9887,6,1350,14.65444469,14.83500004,0.180555344,14.80490748,0.067289004,88.82944489 +9887,MN,92,10,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,57 ANN STREET,C6-4, , , , , ,LM, , , ,N,G1,10,0, ,57 ANN ST RLTY ASSOCS,10925,32475,32475,0,0,0,32475,0,0,0,2,1,3,0,1,53.42,115.5,53,135, ,3,Y,5,2,1134450,4069350,0,0,1925,0,0, , ,2.97,10,10,10,1,1000920010,0,1501,982506,198096,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,517.1809114,11261.38647,2934900,4,0,9887,9888,50,11250,33.24333191,34.5909996,1.347667694,34.51860184,0.26034674,1725.930092 +9888,MN,228,10,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,375 CANAL STREET,M1-5A, , , , , , , , , ,N,C7,4,0,P,"375 CANAL, LLC",2203,8700,2175,6525,0,2175,0,0,0,0,2,1,4,9,13,23.92,69.58,5614,76, ,2,Y,3,2,271350,2434050,0,0,1920,1998,0,SoHo-Cast Iron Historic District, ,3.95,0,5,6.5,1,1002280010,0,47,983051,202123,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,204.6924646,2169.428335,2162700,0,1,9888,9889,9,2025,9.686666489,9.686666489,0,9.686666489,0,87.1799984 +9889,MN,909,48,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,212 EAST 29 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"KASPAR PROPERTIES, LL",2469,9460,700,8760,0,700,0,0,0,0,2,1,5,13,15,25,98.75,25,77, ,3,N,5,2,77850,1593450,0,0,1920,2011,0, , ,3.83,4,0,4,1,1009090048,0,66,989878,209621,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,255.3345795,2641.841852,1515600,11,0,9889,9890,11,2475,35.64599991,42.03333282,6.387332916,36.24133301,1.832172408,398.6546631 +9890,MN,910,39,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,244 EAST 30 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,240 E ASSOC,2469,7495,0,7495,0,0,0,0,0,0,2,1,5,11,11,25,98.75,25,68,E,3,N,5,1,103500,705150,4720,4720,1900,1983,0, , ,3.04,3,0,3,1,1009100039,0,70,990244,209712,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,252.2290972,2614.820694,601650,10,0,9890,9891,12,2700,34.37666702,36.58666611,2.209999084,34.87453715,0.791229969,418.4944458 +9891,MN,31,10,101,7,1018,2,1,10005,L015,1,15,7700,1,1, ,126 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,LONGFORE REALTY INC,1867,6800,6800,0,0,5100,0,1700,0,0,2,1,4,0,1,25.83,77.92,26,65, ,3,Y,5,2,297000,939600,0,0,1920,0,0, , ,3.64,10,15,15,1,1000310010,0,7,981867,196057,12b, ,101S006,10101, ,0, ,1, ,1,17V1.1,0,213.0683541,2019.085393,642600,17,1,9891,9892,8,1800,11.02099991,11.02099991,0,11.02099991,0,88.16799927 +9892,MN,440,38,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,195 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,441 EAST 12 LLC,5175,24576,4096,20480,0,4096,0,0,0,0,2,1,6,40,45,51.75,100,52,100, ,3,N,3,2,162900,3275550,0,0,1910,1986,0, , ,4.75,4,0,4,1,1004400038,0,34,989375,204993,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,314.6070732,5605.035672,3112650,12,0,9892,9893,25,5625,16.59444427,17.72444344,1.129999161,16.63964424,0.221433708,415.991106 +9893,MN,694,5,104,99,1035,2,3,10011,E003,10,15,5500,1,4,1B,555 WEST 22 STREET,C6-3,M1-5, , , , ,WCH, , , ,Y,E1,6,0, ,U-HAUL INTNL INC,4937,4937,4937,0,0,0,4937,0,0,0,2,1,1,0,1,50,98.75,50,98.75, ,3,N,5,0,247500,502200,0,0,1920,1988,0, , ,1,7.52,6,10,1,1006940005,0,99,982342,211870,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,308.1519558,5137.596332,254700,2,1,9893,9894,24,5400,6.691111088,6.936999798,0.24588871,6.916509072,0.067960049,165.9962177 +9894,MN,525,2,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,173 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C1,2,0, ,173 SULLIVAN STREET L,2500,9625,0,9625,0,0,0,0,0,0,2,1,5,20,20,25,100,25,75, ,2,N,5,2,120150,1087650,0,0,1900,1986,0,South Village Historic District, ,3.85,3.44,0,6.5,1,1005250002,0,65,984033,204512,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,259.003778,2652.018391,967500,9,0,9894,9895,12,2700,23.62666702,26.45555687,2.828889847,23.86240784,0.78186385,286.3488941 +9895,MN,437,10,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,256 EAST 10 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,256 EAST 10TH STREET,4060,18534,0,18534,0,0,0,0,0,0,2,1,6,36,36,44,92.25,44,92, ,3,N,5,2,418500,2621700,0,0,1920,2013,0, , ,4.57,4,0,4,1,1004370010,0,34,988699,204627,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,273.3775289,4028.891148,2203200,12,0,9895,9896,19,4275,17.51666641,19.54644394,2.029777527,17.79940324,0.656402517,338.1886616 +9896,MN,623,146,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,263 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"SOROS, MELISSA SCHIFF",2942,6650,0,5200,0,0,0,0,0,0,2,1,4,2,2,25.17,116.92,25.17,50,E,3,N,5,1,90765,381542,0,0,1899,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1006230146,0,77,983139,207552,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,289.7309947,3133.730063,290777,8,0,9896,9897,13,2925,23.10000038,26.39999962,3.299999237,25.00707729,1.246660105,325.0920048 +9897,MN,530,26,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,39 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,GREAT JONES CURR PRO,2700,18649,3000,15649,0,3000,0,0,0,0,2,1,7,8,9,27,100,27,98, ,3,N,5,2,44285,1077710,2360,2360,1920,2009,2009,NoHo Historic District Extension, ,6.91,0,5,6.5,1,1005300026,0,5502,986203,204021,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,264.6149912,2843.284012,1033430,9,0,9897,9898,11,2475,43.14099884,44.37910843,1.238109589,43.36103925,0.466927635,476.9714317 +9898,MN,809,16,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,139 WEST 33 STREET,C6-4.5, , , , , ,MID, , , ,N,K1,5,0, ,139 WEST 33TH STREET,2452,2469,2469,0,0,2469,0,0,0,0,2,1,1,0,3,25,98.75,25,80, ,2,N,5,2,517500,1315350,0,0,1932,0,0, , ,1.01,10,12,12,1,1008090016,0,101,987021,212561,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,251.9205136,2517.463501,797850,6,0,9898,9899,11,2475,41.24700165,41.98233414,0.735332489,41.31385006,0.211393228,454.4523506 +9899,MN,400,61,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,193 EAST 4 STREET,R7B, , , , , , , , , ,N,C7,4,0, ,EAST 4TH OWNER LLC,2388,8045,500,7545,0,500,0,0,0,0,2,1,6,11,12,24.83,96.17,25,55, ,2,N,5,2,225000,1262700,0,0,1900,0,0, , ,3.37,3,0,3,1,1004000061,0,32,988623,203137,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,258.5878616,2646.738612,1037700,1,0,9899,9900,12,2700,15.8922224,21.35111046,5.458888054,17.50777777,1.623963408,210.0933332 +9900,MN,873,22,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,52 IRVING PLACE,R8A,R8B, , , , , , , , ,Y,D6,4,0, ,52 IRVING PLACE LLC,2896,15486,1486,14000,0,1486,0,0,0,0,2,1,6,17,21,27,107.25,27,107,E,3,N,3,2,272700,1501650,0,0,1910,1988,0, , ,5.35,6,0,6,1,1008730022,0,50,987844,207370,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,275.1852789,3197.47031,1228950,5,0,9900,9901,14,3150,31.75300026,35.30699921,3.553998947,32.05363519,0.917856605,448.7508926 +9901,MN,474,7507,102,47,2012,2,1,10013,E055,1,15,6800,1,2, ,44 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2489,11647,2913,8734,0,2913,0,0,0,0,2,1,7,5,6,26.67,93.33,26,93, ,1,N,5,5,434638,2642699,0,954272,2007,0,0,SoHo-Cast Iron Historic District, ,4.68,0,5,6.5,1,1004747507,2030,47,983985,202132,12c,Y,11N 070,10206, ,1004740049,7/28/2009,1, , ,17V1.1,7,257.1185052,2686.512463,2208060,0,0,9901,9902,12,2700,20.20355606,20.71800041,0.514444351,20.67513005,0.142184907,248.1015606 +9902,MN,474,20,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,41 MERCER STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,WB 41 MERCER LLC,1202,1800,1800,0,0,1800,0,0,0,0,2,1,1,0,1,24.12,50,24,50, ,3,N,5,0,135000,675450,0,0,1920,2004,0,SoHo-Cast Iron Historic District, ,1.5,0,5,6.5,1,1004740020,0,47,983854,202147,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,154.7783175,1282.693893,540450,0,0,9902,9903,5,1125,14.17000008,14.17000008,0,14.17000008,0,70.85000038 +9903,MN,350,26,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,19 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,ASSNCO REALTY CORP,5000,36000,4500,31500,4500,0,0,0,0,0,2,1,8,24,29,50,100,50,100, ,0,N,5,2,315000,2684700,0,350314,2005,0,0, , ,7.2,4,0,4,1,1003500026,0,3001,988547,201867,12c, ,102 005,10201, ,1003500026,3/13/2007,1, , ,17V1.1,0,309.6427678,5258.748307,2369700,1,0,9903,9904,23,5175,22.40999985,25.38666725,2.976667404,22.71285016,0.832696935,522.3955536 +9904,MN,521,7502,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2, ,298 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, , ,1712,8019,1831,6188,0,1831,0,0,0,0,2,1,5,4,5,23.08,15,23.08,75, ,0,Y,0,5,86753,860412,0,0,1910,0,0,Noho East Historic District, ,4.68,6.02,6,6.5,1,1005217502,1149,5502,986183,203392,12c, ,103 010,10206, ,1005210068,12/6/2000,1, , ,17V1.1,7,200.9676513,1745.826821,773659,9,0,9904,9905,8,1800,43.41222,45.71221924,2.299999237,43.93647003,0.913682901,351.4917603 +9905,MN,614,34,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,231 WEST 11 STREET,R6, , , , , , , , , ,N,B3,1,0, ,"231WII, LLC",1660,3360,0,2520,0,0,0,0,0,0,2,1,2,2,2,20,97,20,42, ,3,Y,5,1,39464,165888,0,0,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006140034,0,77,983526,207614,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,237.7247288,1920.501101,126424,8,0,9905,9906,10,2250,26.80333328,29.58444405,2.781110764,27.47433319,1.014032238,274.7433319 +9906,MN,745,19,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,329 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,329 W 21ST CORPORATIO,2469,7400,0,7400,0,0,0,0,0,0,2,2,4,11,11,25,98.75,25,46, ,3,N,5,1,82800,699300,9440,9440,1900,1988,0, , ,3,3,0,3,1,1007450019,0,89,984045,210632,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,261.0823889,2826.869188,616500,7,0,9906,9907,11,2475,15.97222233,16.61999893,0.647776604,16.03111111,0.18622268,176.3422222 +9907,MN,764,10,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,251 WEST 14 STREET,C6-2A, , , , , , , , , ,N,M4,8,0, ,"251 WEST 14 STREET, L",2495,7830,100,7730,0,0,0,0,0,100,2,1,4,0,2,24.17,103.25,25,72, ,3,N,5,2,351000,579600,0,0,1920,0,0, , ,3.14,6.02,6,6.5,1,1007640010,0,81,983797,208762,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,272.6106495,2745.305755,228600,7,0,9907,9908,12,2700,22.05333328,22.05333328,0,22.05333328,0,264.6399994 +9908,MN,446,7,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,84 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S9,4,0, ,WEST 26TH STREET LLC,2400,4812,1000,3812,0,1000,0,0,0,0,2,1,4.5,4,6,24,100,24,50,E,3,N,5,5,39740,131380,0,0,1915,0,0,East Village/Lower East Side Historic Di, ,2.01,4,0,4,1,1004460007,0,38,987356,203962,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,259.6565419,2640.222079,91640,1,0,9908,9909,12,2700,32.62111282,34.34555435,1.724441528,33.11083444,0.706506407,397.3300133 +9909,MN,900,155,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,202 EAST 20 STREET,C1-9A, , , , , , , , , ,N,B9,1,0, ,202 EAST 20TH HOLDING,353,1140,0,1140,0,0,0,0,0,0,2,1,4,2,2,18.08,19.5,18.08,19.5, ,3,N,5,2,34807,69894,0,0,1901,0,0, , ,3.23,10,2,10,1,1009000155,0,64,988621,207684,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,78.49823085,381.8977257,35087,5,0,9909,9910,1,225,25.72444344,25.72444344,0,25.72444344,0,25.72444344 +9910,MN,279,67,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,23 CHATHAM SQUARE,C6-1G, , , , , ,TA, , , ,N,O2,5,0,P,CATHAY BANK,955,4675,4675,0,2810,1865,0,0,0,0,2,1,4,0,5,22.42,63,22,58, ,3,Y,3,2,204750,552600,0,0,1900,1987,0, , ,4.9,3.44,6,6.5,1,1002790067,0,27,984807,199115,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,152.9125488,989.3915706,347850,16,0,9910,9911,5,1125,27.60099983,30.44133377,2.840333939,28.16906662,1.136133575,140.8453331 +9911,MN,543,43,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,148 WEST 4 STREET,R7-2, , , , , , , , , ,N,K4,4,0,P,148 LLC,2068,4780,3870,910,0,3870,0,0,0,0,2,2,2,2,6,22,94,22,44, ,3,N,5,2,212400,809100,0,0,1925,1964,0,South Village Historic District, ,2.31,3.44,0,6.5,1,1005430043,0,65,984066,205715,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,242.8102453,2236.455644,596700,9,0,9911,9912,10,2250,18.19555664,19.86444473,1.668888092,18.48317852,0.552981583,184.8317852 +9912,MN,519,50,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,9 CHARLTON STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,9 CHARLTON STREET COR,3325,6905,0,6905,0,0,0,0,0,0,2,1,3,8,8,33.17,100.25,25,66,E,1,N,5,1,65923,359784,0,0,1900,1984,0,Charlton-King-Vandam Historic District, ,2.08,3.44,0,6.5,1,1005190050,0,37,983248,204215,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,270.9132224,3483.005605,293861,9,0,9912,9913,12,2700,18.15500069,18.59444427,0.439443588,18.20925983,0.129930929,218.5111179 +9913,MN,862,13,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,15 EAST 32 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,RIAN HODLING COMPANY,4605,57156,57156,0,53156,4000,0,0,0,0,2,1,12,0,13,50,98.75,50,86,E,3,N,5,2,1462500,4600800,0,0,1915,1988,0, , ,12.41,10,10,10,1,1008620013,0,74,988589,211396,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,303.8603907,5096.515771,3138300,10,0,9913,9914,21,4725,39.86111069,42.55666733,2.695556641,39.98947053,0.574042656,839.7788811 +9914,MN,570,5,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,57 5 AVENUE,C6-4, , , , , , , , , ,N,S5,4,0, ,"SHIREWILL, INC.",2500,8661,2475,6186,0,2475,0,0,0,0,2,1,4,6,7,25,100,25,99, ,3,N,5,2,123228,714025,0,0,1910,1986,0, , ,3.46,10,10,10,1,1005700005,0,61,985919,207045,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,260.7019345,2641.665624,590797,8,0,9914,9915,11,2475,33.2820015,34.69355774,1.411556244,33.41032479,0.405793889,367.5135727 +9915,MN,537,7502,102,65,5001,2,1,10012,L009,6,15,5700,2,2, ,542 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,542 LA GUARDIA PLACE,3795,17484,3412,14072,0,3412,0,0,0,0,2,1,6,10,11,43,90.15,0,0, ,0,Y,5,5,269998,1886848,4720,4720,1928,0,0,South Village Historic District, ,4.61,3.44,0,6.5,1,1005377502,302,65,984654,204859,12c, ,103 007,10207, ,1005370023,12/25/1986,1, , ,17V1.1,7,269.8700243,3917.190114,1616850,9,0,9915,9916,18,4050,27.39777756,27.39777756,0,27.39777756,0,493.159996 +9916,MN,376,63,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,701 EAST 6 STREET,R7A, , , ,C2-5, , , , , ,N,M1,8,0,X,IGLESIA PENTACOSTALET,2108,4185,4185,0,0,0,0,0,0,4185,2,1,2,0,1,31,68.08,31,68, ,2,Y,5,0,112950,322650,112950,322650,1966,1985,0, , ,1.99,4,0,4,1,1003760063,0,2602,990116,202870,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,203.6566113,2195.684741,209700,1,1,9916,9917,11,2475,7.864444256,9.78555584,1.921111584,8.177070531,0.646530894,89.94777584 +9917,MN,618,58,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,237 WEST 13 STREET,R6, , , , , , , , , ,N,C7,4,0, ,237 WEST 13 REALTY LL,2581,10500,1260,9240,0,1260,0,0,0,0,2,1,5,18,20,25,103.25,25,78, ,3,N,5,2,141750,1287450,0,0,1900,0,0,Greenwich Village Historic District, ,4.07,2.43,0,4.8,1,1006180058,0,77,983790,208420,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,255.6284094,2503.834819,1145700,8,0,9917,9918,13,2925,22.30444527,24.2788887,1.974443436,22.45632553,0.526128669,291.9322319 +9918,MN,793,7502,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,120 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,120 W 18TH ST CONDO,4477,27892,9803,18089,0,4000,0,0,0,5803,2,1,6,9,11,48.67,92,49,86, ,0,N,5,5,348300,3183751,4720,4720,1907,1986,0, , ,6.23,6.02,6,6.5,1,1007937502,432,81,985327,208909,8d, ,103 029,10305, ,1007930051,11/30/1987,1, , ,17V1.1,7,289.5566101,4782.651538,2835450,7,0,9918,9919,20,4500,27.66555595,27.66555595,0,27.66555595,0,553.3111191 +9919,MN,443,61,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,34 EAST 1 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"34 EAST 27TH STREET,",1392,5380,810,4570,0,810,0,0,0,0,2,1,5,8,10,24.08,60.67,24,50, ,3,Y,5,0,19237,108422,0,0,1910,1985,0, , ,3.86,4,0,4,1,1004430061,0,3602,986970,203118,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,172.2905522,1554.031142,89185,1,0,9919,9920,6,1350,38.60800171,38.69511414,0.087112427,38.62252045,0.032464885,231.7351227 +9920,MN,247,1,103,6,6002,1,1,10002,E015,7,14,7800,1,3,1B,265 CHERRY STREET,C6-4, , , , , , , , , ,N,D6,4,0,P,HP CHERRY STREET HOUS,113690,657592,3000,654592,1000,2000,0,0,0,0,2,2,26,490,492,450,330.33,62,215, ,1,Y,3,0,7690050,56531700,7690050,56531700,1979,0,2012, , ,5.78,10,10,10,1,1002470001,0,6,987305,198276,12d, ,101N055,10106, ,1002470001,3/16/2011,1,1,1,17V1.1,0,1754.515257,113779.023,48841600,16,1,9920,9921,504,113400,5.268444061,11.26944447,6.001000404,8.5210227,1.512884523,4294.595441 +9921,MN,802,54,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,118 WEST 27 STREET,M1-6, , , , , , , , , ,N,L1,6,0,P,118 WEST CORPORATION,3703,43393,31956,11437,0,3468,0,28488,0,0,2,1,12,6,15,37.5,98.75,38,99, ,3,N,5,2,621000,2908350,0,0,1910,0,0, , ,11.72,0,10,10,1,1008020054,0,95,986439,210938,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,277.2324491,3721.904927,2287350,2,0,9921,9922,16,3600,38.26699829,39.18222046,0.915222168,38.32419968,0.221540013,613.1871948 +9922,MN,219,7502,101,39,1014,2,1,10013,L008,1,15,7700,3,1, ,39 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,7938,34839,0,34839,0,0,0,0,0,0,2,2,8,16,16,88.11,91.08,0,0, ,0,Y,0,5,568798,3816448,4720,4720,1930,0,0,Tribeca North Historic District, ,4.39,6.02,6,6.5,1,1002197502,1003,39,981706,202511,12a, ,101N040,10105, ,1002190013,3/24/1998,1, , ,17V1.1,7,361.1279991,8114.720133,3247650,0,1,9922,9923,36,8100,10.46666718,12.94777775,2.481110573,10.64348812,0.59124624,383.1655722 +9923,MN,716,7502,104,89,3001,2,3,10011,E003,10,15,5600,1,4, ,452 WEST 19 STREET,R8A, , , , , , , , , ,N,R4,3,0, ,THE 452 WEST 19 CONDO,4600,23622,0,23622,0,0,0,0,0,0,2,1,5,20,20,50,92,50,86, ,0,N,0,5,314551,2514599,2360,2360,1920,0,0, , ,5.14,6,0,6,1,1007167502,1566,89,982716,210635,8b, ,103 041,10302, ,1007160064,8/22/2006,1, ,1,17V1.1,7,288.0634435,4680.808318,2200050,7,1,9923,9924,21,4725,9.675999641,10.20100021,0.525000572,9.700999669,0.111803521,203.720993 +9924,MN,799,53,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,120 WEST 24 STREET,M1-6, , , , , , , , , ,N,N2,8,0, ,"127 WEST 23RD OWNER,",1656,6171,6171,0,0,0,0,0,0,6171,2,1,4,0,1,35.42,46.75,35,47, ,3,N,5,2,223650,677700,0,0,1920,1989,0, , ,3.73,0,10,10,1,1007990053,0,91,986053,210298,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,166.2252656,1646.921431,454050,2,0,9924,9925,8,1800,29.26199913,35.69111252,6.429113388,30.0656383,2.126229397,240.5251064 +9925,MN,7,31,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,105 BROAD STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,FASHION MANAGEMENT CO,1512,7475,4485,2990,1495,2990,0,0,0,0,2,1,5,0,7,36.17,46.67,36,44, ,3,Y,3,2,540000,981450,0,0,1935,0,0,Fraunces Tavern Block Historic District, ,4.94,10,15,15,1,1000070031,0,9,981102,195461,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,175.7712385,1905.688778,441450,17,1,9925,9926,8,1800,6.517333508,6.517333508,0,6.517333508,0,52.13866806 +9926,MN,478,27,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,178 BOWERY,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,178 BOWERY TENANT COR,2525,8528,2528,6000,0,2528,0,0,0,0,2,1,5,7,8,25.25,100,25,100, ,3,N,5,2,144418,678269,0,0,1900,1983,2003, , ,3.38,3.44,6,6.5,1,1004780027,0,41,985825,201818,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,250.7543166,2537.974773,533851,0,0,9926,9927,12,2700,38.05444717,38.05444717,0,38.05444717,0,456.6533661 +9927,MN,784,8,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,261 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K2,5,0, ,CORNELL WEST 34 OWNER,4471,17609,17609,0,0,13207,0,4402,0,0,2,1,3,0,1,44.58,98.75,44.58,98.75, ,3,Y,5,2,1404000,3005456,0,0,1940,1983,0, , ,3.94,10,10,10,1,1007840008,0,109,986260,213321,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,309.2814995,4865.968926,1601460,6,0,9927,9928,23,5175,34.68444443,35.06888962,0.38444519,34.70115944,0.078400338,798.126667 +9928,MN,424,37,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,328 BROOME STREET,C6-3A, , , , , , , , , ,N,D6,4,0,P,BALY CHOW REALTY CORP,2127,8508,2127,6381,0,2127,0,0,0,0,2,1,6,8,9,22.25,93.83,22,93, ,3,Y,5,2,31677,299553,0,0,1900,1986,2008, , ,4,7.52,6,7.5,1,1004240037,0,18,986020,201358,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,235.2154787,2170.805746,267876,0,0,9928,9929,9,2025,35.63777924,35.63777924,0,35.63777924,0,320.7400131 +9929,MN,378,39,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,115 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,LOWER EAST SIDE DEVEL,2397,13266,1200,12066,0,1200,0,0,0,0,2,1,6,20,23,47,50.83,47,51,E,2,Y,3,2,315450,1366200,0,0,1900,1988,0, , ,5.53,6,0,6,1,1003780039,0,2602,990863,203012,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,209.5030505,2738.672474,1050750,12,1,9929,9930,13,2925,7.409999847,10.03222179,2.622221947,7.756666477,0.825780155,100.8366642 +9930,MN,393,7,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,171 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,2356,9335,1000,8335,0,1000,0,0,0,0,2,1,5,9,10,25.33,93,25,79, ,3,N,5,2,41833,494325,0,403599,1900,1987,0, , ,3.96,4,0,4,1,1003930007,0,28,989973,204217,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,241.8262618,2447.669113,452492,12,1,9930,9931,10,2250,9.383999825,9.383999825,0,9.383999825,0,93.83999825 +9931,MN,613,11,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,248 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"SOBEL, MARILYN",814,2560,0,1920,0,0,0,0,0,0,2,1,2,2,2,16.75,48.58,16.75,40, ,3,N,5,1,54214,119438,0,0,1899,0,0,Greenwich Village Historic District, ,3.14,2.43,0,4.8,1,1006130011,0,73,983344,207451,12a, ,103 015,10209, ,0, ,1, , 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,17V1.1,0,262.5302293,2572.125111,235800,9,0,9935,9936,12,2700,40.95600128,40.95600128,0,40.95600128,0,491.4720154 +9936,MN,447,7501,103,38,5000,1,2,10003,E028,9,14,6500,3,3, ,83 1 PLACE,R7A, , , ,C2-5, , , , , ,N,RM,4,0, ,OWNER / AGENT,3370,15666,4092,11574,0,4092,0,0,0,0,2,2,6,20,21,48.5,69.5,0,0, ,0,N,5,5,270000,2289150,43102,43102,1900,0,0, , ,4.65,4,0,4,1,1004477501,777,38,987911,203790,12c, ,102 019,10205, ,1004470035,12/6/1991,1, , ,17V1.1,7,244.6235599,3658.034777,2019150,1,0,9936,9937,16,3600,26.0177784,26.67166519,0.653886795,26.05864632,0.158280792,416.9383411 +9937,MN,460,42,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,69 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,69 SECOND AVENUE LLC,1848,8775,1463,7312,0,1463,0,0,0,0,2,1,6,10,12,24,77,24,77, ,3,N,3,2,262800,1795500,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.75,4,0,4,1,1004600042,0,38,987125,203922,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,213.2603919,2120.003861,1532700,1,0,9937,9938,8,1800,35.65444565,35.65444565,0,35.65444565,0,285.2355652 +9938,MN,520,42,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,21 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C0,2,0, ,THE ROSA MARIA GIL RE,1563,4160,0,3052,0,0,0,0,0,0,2,2,3,3,3,20.83,75,20.83,38, ,2,N,5,1,65974,123087,1550,1550,1826,0,0,Charlton-King-Vandam Historic District, ,2.66,3.44,0,6.5,1,1005200042,0,37,983266,204468,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,205.0612962,1781.206802,57113,9,0,9938,9939,9,2025,16.76099968,22.56777763,5.806777954,17.72769101,1.93448987,159.5492191 +9939,MN,479,35,102,41,1002,2,1,10013,L006,5,15,6800,1,2,1A,358 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,HENG SENG LLC,4675,19157,1275,17882,0,1275,0,0,0,0,2,1,6,34,36,49.08,85.67,49.08,72, ,0,Y,5,2,176850,1857600,0,0,1900,0,0, , ,4.1,6.02,6,6.5,1,1004790035,0,41,985517,201656,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,288.7068805,4757.911806,1680750,0,0,9939,9940,22,4950,35.33778,36.83777618,1.499996185,35.40596164,0.312447548,778.9311562 +9940,MN,475,59,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,76 GRAND STREET,M1-5B, , , , , , , , , ,N,K1,5,0, ,76 GRAND LLC,2500,2375,2375,0,0,2375,0,0,0,0,2,1,1,0,1,25,100,25,92, ,3,N,5,0,144000,879300,0,0,1900,2012,0,SoHo-Cast Iron Historic District, ,0.95,0,5,6.5,1,1004750059,0,47,983539,202333,12a, ,101N070,10206, ,0, ,1,1,1,17V1.1,0,260.3629052,2622.509181,735300,0,1,9940,9941,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +9941,MN,445,58,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,57 EAST 3 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,STUDIO 57 REALTY LLC,1923,5492,0,5492,0,0,0,0,0,0,2,1,4,13,13,20,96.17,20,42,E,0,N,5,2,148950,1143450,0,0,1900,1998,0,East Village/Lower East Side Historic Di, ,2.86,4,0,4,1,1004450058,0,38,987304,203576,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,239.3524949,2004.512242,994500,1,0,9941,9942,9,2025,29.97444344,35.00333405,5.02889061,31.54185104,2.224422681,283.8766594 +9942,MN,207,15,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1F,126 BAXTER STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,BAXTER STREET PROPER,1394,4806,1200,3606,0,1200,0,0,0,0,2,1,5,4,5,19.25,72.42,19,49,E,2,N,5,5,62619,125495,0,0,1900,0,0, , ,3.45,0,5,6.5,1,1002070015,0,41,984491,200945,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,190.5033173,1535.099563,62876,0,0,9942,9943,7,1575,18.89222145,19.20000076,0.307779312,18.97460256,0.09387056,132.8222179 +9943,MN,458,26,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,38 EAST 3 STREET,C6-2A, , , , , , , , , ,N,C2,2,0, ,"GLASS, PHILLIP",1288,2823,0,2823,0,0,0,0,0,0,2,1,3,6,6,23,56,23,40, ,0,Y,3,5,21339,85358,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.19,6.02,6,6.5,1,1004580026,0,3602,986978,203604,12c, ,102 009,10205, ,0, ,1, , 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,17V1.1,0,213.2182264,1547.04261,363288,9,0,9947,9948,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +9948,MN,805,35,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,125 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0,P,LEE YEUN FUNG ETC.,2158,6310,6310,0,2840,2524,0,946,0,0,2,1,5,0,1,35.67,65,35.67,65, ,0,Y,5,5,310500,1241550,0,0,1930,2003,0, , ,2.92,0,10,10,1,1008050035,0,95,986723,211526,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,196.6990071,2212.501316,931050,6,0,9948,9949,11,2475,34.63499832,34.63499832,0,34.63499832,0,380.9849815 +9949,MN,408,11,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,249 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,BROOME PARTNERS LLC,3630,19053,2000,17053,0,2000,0,0,0,0,2,1,7,33,35,41.5,87.5,42,76, ,2,N,5,2,153450,1191150,0,0,1920,2015,0, , ,5.25,4,4,4,1,1004080011,0,18,987030,200806,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,257.514079,3539.713645,1037700,13,0,9949,9950,15,3375,36.36111069,37.86333466,1.502223969,36.46125895,0.374720494,546.9188843 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STREET,C6-2A, , , , , , , , , ,N,D9,3,0, ,BRE FSC MULTIFAMILY B,23732,157364,15000,142364,0,0,15000,0,0,0,2,2,16,200,202,257.92,92,258,90, ,3,N,5,1,2632500,17050500,0,0,1986,0,0, , ,6.63,6.02,6,6.5,1,1007680059,0,87,984507,209641,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,699.4939444,23889.66246,14418000,7,0,9978,9979,107,24075,21.88888931,25.24777794,3.358888626,23.12005209,1.258631822,2473.845573 +9979,MN,236,30,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1F,131 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S9,4,0, ,131 CHAD ERIK LITTLEI,1000,5100,1020,4080,0,1020,0,0,0,0,2,1,5,6,8,40,25,40,25, ,3,N,5,0,71775,352951,0,0,1910,0,0, , ,5.1,6.02,6,6.5,1,1002360030,0,41,984835,201030,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,135.512064,1100.987286,281176,0,0,9979,9980,5,1125,24.0720005,24.0720005,0,24.0720005,0,120.3600025 +9980,MN,463,43,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,29 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"CHABAN, 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+10004,MN,464,32,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,238 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,DROBENKO BROS RLTY IN,2186,4068,1962,2106,0,1962,0,0,0,0,2,1,4,18,19,18,75,18,54, ,3,Y,5,2,168750,363150,0,0,1900,0,0, , ,1.86,4,0,4,1,1004640032,0,38,987579,204946,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,284.1372703,2309.928968,194400,12,0,10003,10004,11,2475,32.10889053,35.04999924,2.941108704,32.84063721,1.170886829,361.2470093 +10005,MN,583,6,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,430 HUDSON STREET,C1-6, , , , , , , , , ,N,S1,4,0, ,NORFOLK COMMONS LLC,1760,4895,1238,3657,0,1238,0,0,0,0,2,1,5,1,2,22,80,22,40, ,3,N,5,2,56845,401038,0,0,1910,2011,2011,Greenwich Village Historic District, ,2.78,3.44,2,6.5,1,1005830006,0,67,982452,205460,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,210.2661898,1828.92318,344193,9,0,10004,10005,10,2250,15.38333321,18.92555618,3.542222977,16.63144455,1.368053471,166.3144455 +10006,MN,633,53,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,561 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,11TH STREET PARTNERS,376,1580,355,1225,0,355,0,0,0,0,2,1,4,9,11,50.08,16,50.08,16, ,0,Y,5,5,84600,515250,0,0,1905,0,0,Greenwich Village Historic District, ,4.2,3.44,2,6.5,1,1006330053,0,75,982537,207259,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,113.9198818,389.1883997,430650,8,0,10005,10006,2,450,19.46666718,19.46666718,0,19.46666718,0,38.93333435 +10007,MN,16,221,101,317.03,2002,2,1,10282,L010,1,15,8900,1,1,1A,201 WARREN STREET,BPC, , , , , ,BPC, , , ,N,D8,3,0,X,TRIBECA NORTH END LLC,6323,244617,1000,243617,0,1000,0,0,0,0,2,1,25,151,152,73.42,135.25,135.25,179.11, ,0,Y,3,5,2250000,27514350,2250000,27514350,1998,0,0, , ,38.69,0,0,0,1,1000160221,0,31703,980378,200502,12a, ,11S 093,10101, ,1000160220,3/1/1999,1, , ,17V1.1,0,463.0861555,6570.31038,25264400,3,1,10006,10007,29,6525,10.64700031,14.47966671,3.832666397,10.77916122,0.699329803,312.5956755 +10008,MN,449,55,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,53 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,53 EAST 7 STREET LLC,2438,10116,0,10116,0,0,0,0,0,0,2,1,5,12,12,25,97.5,25,80, ,3,N,5,2,166050,851850,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.15,4,0,4,1,1004490055,0,38,987787,204453,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.9703717,2550.515427,685800,12,0,10007,10008,12,2700,25.48777771,30.97555542,5.48777771,26.31740745,1.649111129,315.8088894 +10009,MN,797,54,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,118 WEST 22 STREET,C6-3A, , , , , , , , , ,N,L1,6,0, ,"ADLIE ASSOCIATES, LLC",7406,89389,89389,0,0,7050,0,82339,0,0,2,1,12,0,13,75,98.75,75,94, ,3,N,5,2,1170000,9498600,0,0,1911,1975,0, , ,12.07,7.52,6,7.5,1,1007970054,0,87,985798,209776,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,347.1471035,7383.545781,8328600,7,0,10008,10009,33,7425,28.16444397,28.16444397,0,28.16444397,0,929.426651 +10010,MN,471,14,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,387 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,FRANK CASTELLANA ASSO,2662,13930,4105,9825,0,4105,0,0,0,0,2,1,5,20,22,25.25,105.42,25,105,E,2,Y,3,2,133650,1636200,0,0,1930,2003,0, , ,5.23,6.02,6,6.5,1,1004710014,0,41,985068,201710,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,271.8305091,2850.684035,1502550,0,0,10009,10010,13,2925,24.86333275,33.70999908,8.846666336,25.54384554,2.357365473,332.0699921 +10011,MN,454,52,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,331 EAST 12 STREET,R8B, , , , , , , , , ,N,N2,8,0,C,NYC DHS,8260,63335,63335,0,0,0,0,0,0,63335,2,1,8,0,1,80,103.25,78,94, ,3,N,5,2,634500,2826000,634500,2826000,1927,1983,2001, , ,7.67,4,0,4,1,1004540052,0,40,988600,205451,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,374.1130478,8564.519571,2191500,12,0,10010,10011,39,8775,22.37666702,22.37666702,0,22.37666702,0,872.6900139 +10012,MN,53,37,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,102 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,H3,5,0,P,102 GREENWICH REALTY,4664,21489,2171,0,0,2171,0,0,0,0,2,1,5,0,1,49.92,92.83,50,92, ,3,Y,5,2,369000,2211300,0,0,1926,2013,0, , ,4.61,10,15,15,1,1000530037,0,13,980455,197378,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,304.3867172,5219.82434,1842300,15,1,10011,10012,23,5175,7.869999886,7.958889008,0.088889122,7.87386463,0.018127258,181.0988865 +10013,MN,411,11,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,166 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,SMILLOWITZ HOLDING C,2200,9792,1600,8192,0,1600,0,0,0,0,2,1,6,25,26,25,88,25,74, ,2,N,5,2,225000,1887750,0,0,1920,1999,0, , ,4.45,4,4,4,1,1004110011,0,3001,987462,202017,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.8939591,2308.709155,1662750,1,0,10012,10013,11,2475,31.68099976,31.68099976,0,31.68099976,0,348.4909973 +10014,MN,79,10,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1,1B,17 JOHN STREET,C5-5, , , , , ,LM, , , ,N,HS,5,0,P,17 JOHN STREET PROPER,10060,111423,50291,9801,40275,10016,0,0,0,0,2,1,15,16,81,77.58,135.83,78,135, ,3,Y,5,2,1570500,12218657,0,0,1920,2015,2002, , ,11.08,10,15,15,1,1000790010,0,1502,981847,197956,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,425.5790878,10462.23417,10648200,0,0,10013,10014,46,10350,31.21700096,31.21700096,0,31.21700096,0,1435.982044 +10015,MN,133,7506,101,21,1005,2,1,10007,L010,1,15,7700,1,1, ,49 WARREN STREET,C6-2A,C6-3A, , , , ,TMU, , , ,Y,RM,4,0, , ,3915,23148,5028,18120,0,5028,0,0,0,0,2,1,6,10,12,50.37,80.12,50,69, ,0,Y,0,5,319496,3626997,7080,7080,1900,0,0,Tribeca South Historic District Extensio, ,5.91,6.02,6,6.5,1,1001337506,1411,21,981699,199591,12b, ,11S 017,10104, ,1001330022,3/10/2005,1, , ,17V1.1,7,269.4088255,4147.197376,3307500,3,0,10014,10015,17,3825,25.60300064,27.08111,1.47810936,25.68994825,0.347790438,436.7291203 +10016,MN,377,45,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,93 AVENUE D,R8A, , , ,C1-5, , , , , ,N,D7,4,0,P,STEVEN D LLC,2811,14604,1000,13604,0,1000,0,0,0,0,2,1,6,23,24,36.5,77,36,74,E,1,N,3,2,234000,1935900,0,0,1900,2000,0, , ,5.2,6,0,6,1,1003770045,0,2602,990726,202791,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,237.6722866,3085.877292,1701900,12,1,10015,10016,13,2925,10.70666695,11.28888893,0.582221985,10.823265,0.188227028,140.702445 +10017,MN,193,7510,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,46 WHITE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,3786,32101,2881,29220,2881,0,0,0,0,0,2,1,5,5,6,37.67,101.25,37,94, ,3,Y,0,5,54329,662852,0,0,1900,0,2006,Tribeca East Historic District, ,8.48,6.02,6,6.5,1,1001937510,2091,33,983126,201128,12a, ,100 000,10105, ,1001930011,6/29/2010,1, , ,17V1.1,7,284.7112281,3965.496536,608523,14,0,10016,10017,18,4050,13.68111134,13.68111134,0,13.68111134,0,246.260004 +10018,MN,611,11,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,56 CHARLES STREET,C2-6,R6, , , , , , , , ,Y,B3,1,0, ,"SARMA HOLDINGS WV, LL",1900,4960,0,3820,0,0,0,0,0,0,2,1,3,2,2,20,95,20,57, ,3,N,5,1,28519,255236,0,0,1915,1973,2008,Greenwich Village Historic District, ,2.61,3.44,2,6.5,1,1006110011,0,73,983521,206976,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,235.5844249,1995.678022,226717,8,0,10017,10018,8,1800,23.83777809,25.01555634,1.177778244,24.07277822,0.424039795,192.5822258 +10019,MN,835,9,105,76,1001,2,4,10001,L024,14,15,5200,1,5,1A,49 WEST 33 STREET,C6-6,C6-4.5, , , , ,MID, , , ,Y,K4,4,0,P,49 WEST 33 LLC,4398,17160,17160,0,0,10296,0,0,0,6864,2,1,4,0,3,44.5,98.75,45,99, ,3,Y,5,2,661500,3715200,0,0,1912,0,0, , ,3.9,10,15,15,1,1008350009,0,76,987777,212139,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,290.1157492,4405.189638,3053700,10,0,10018,10019,20,4500,45.85200119,45.85200119,0,45.85200119,0,917.0400238 +10020,MN,502,38,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,165 SPRING STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,1690SPRING OWNERS COR,6310,34276,8296,25980,0,5916,0,2380,0,0,2,1,6,14,16,69,100,47,100, ,2,Y,3,2,585000,4519350,4720,4720,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,5.43,0,5,6.5,1,1005020038,0,49,983694,203352,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,346.6959724,6650.94019,3934350,0,0,10019,10020,30,6750,12.81888866,16.2033329,3.384444237,12.93170347,0.607526333,387.9511042 +10021,MN,465,18,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,122 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,A B T RLTY INC,1294,3769,0,3769,0,0,0,0,0,0,2,1,5,3,3,18,56,18,36, ,3,Y,5,1,90943,312774,0,0,1900,0,0,St. Mark's Historic District, ,2.91,4,0,4,1,1004650018,0,40,987541,205292,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,140.3665137,927.3657804,221831,12,0,10020,10021,5,1125,33.48777771,33.48777771,0,33.48777771,0,167.4388886 +10022,MN,222,22,101,39,1013,2,1,10013,L008,1,15,7700,1,1,3B,32 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,Z9, ,0,P,BOARD OF MANAGERS OF,5334,1260,1260,0,0,0,0,0,0,1260,2,1,7,0,1,31.08,175.5,18,10, ,0,Y,4,5,252000,353700,0,0,1920,0,0, , ,0.24,6.02,6,6.5,1,1002220022,0,39,981835,202693,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,419.9170167,5008.286212,101700,0,1,10021,10022,21,4725,12.59500027,13.92666721,1.331666946,13.27092593,0.454205285,278.6894445 +10023,MN,568,24,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,60 UNIVERSITY PLACE,C1-7,R7-2, , , , , , , , ,Y,D4,3,0, ,21 EAST 10TH STREET O,5525,56252,2355,53897,0,2355,0,0,0,0,2,1,12,60,62,55,100,53,93, ,2,Y,3,2,868500,7785900,142946,142946,1926,1986,0, , ,10.18,6.02,2,6.5,1,1005680024,0,61,985919,206319,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,324.0166364,6071.018653,6917400,8,0,10022,10023,28,6300,29.93888855,32.09744644,2.158557892,30.92170981,0.434067165,865.8078747 +10024,MN,571,12,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,18 EAST 14 STREET,C6-1, , , , , , , , , ,N,D9,3,0, ,13-14 DEVELOPMENT,3700,24125,4625,19500,0,4625,0,0,0,0,2,1,6,26,27,25,148.5,25,148, ,3,N,5,2,316350,4010850,0,0,1930,1999,0, , ,6.52,3.44,6,6.5,1,1005710012,0,61,986231,207164,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,353.2194426,3790.244719,3694500,8,0,10023,10024,18,4050,36.25,37.92222214,1.672222137,36.34290123,0.383041583,654.1722221 +10025,MN,480,2,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,180 MULBERRY STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0,P,180 MULBERRY REALTY L,2516,9392,1900,7492,0,1900,0,0,0,0,2,2,5,12,14,25.5,98.67,25,53, ,2,Y,5,2,84150,1166400,0,0,1910,0,0, , ,3.73,3.44,6,6.5,1,1004800002,0,41,985231,201873,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,254.6689511,2606.663836,1082250,0,0,10024,10025,12,2700,33.11000061,35.10333252,1.993331909,33.2761116,0.550927835,399.3133392 +10026,MN,692,27,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,511 WEST 20 STREET,M1-5, , , , , ,WCH, , , ,N,O5,5,0,P,IS-ILA REALTY CORP,2300,9250,5650,3600,4150,1500,0,0,0,0,2,1,5,3,7,25,92,25,92,E,3,N,5,0,207000,1041750,0,0,1920,0,0, , ,4.02,0,5,6.5,1,1006920027,0,99,982567,211167,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,242.4255693,2546.114567,834750,7,1,10025,10026,11,2475,8.291999817,8.291999817,0,8.291999817,0,91.21199799 +10027,MN,595,51,101,39,1003,2,1,10013,L008,1,15,7700,1,1,3B,142 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0, ,WATTS & WASHINGTON RE,1120,5625,2250,3375,1590,660,0,0,0,0,2,1,5,3,4,20,56.25,20,56, ,2,Y,3,5,405683,615630,0,0,1910,0,0, , ,5.02,6.02,6,6.5,1,1005950051,0,39,981462,203164,12a, ,101N063,10208,E-257,0, ,1,1,1,17V1.1,0,162.0633795,1267.587938,209947,0,1,10026,10027,8,1800,7.909999847,9.398888588,1.488888741,8.45430541,0.64311753,67.63444328 +10028,MN,293,8,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,22 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,153 LAFAYETTE ST RLYC,2195,7000,3500,3500,1750,1750,0,0,0,0,2,1,4,2,5,25.08,88.5,25,85,E,3,Y,5,2,146250,1168200,0,0,1900,1989,0, , ,3.19,3.44,6,6.5,1,1002930008,0,16,986096,199758,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,233.6735408,2313.29067,1021950,16,0,10027,10028,11,2475,41.23199844,43.78111267,2.549114227,41.4637361,0.732818816,456.1010971 +10029,MN,609,1,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,41 7 AVENUE,C2-6, , , , , , , , , ,N,D4,3,0, ,THE CAMBRIDGE OWNERS,8883,137882,6662,131220,0,6662,0,0,0,0,2,1,20,135,139,88.83,100,88,87, ,1,Y,3,2,963000,11058300,311757,311757,1961,1986,0,Greenwich Village Historic District, ,15.52,3.44,2,6.5,1,1006090001,0,71,984321,208116,8d,Y,103 027,10209, ,0, ,1, , ,17V1.1,0,386.968958,9341.94776,10095300,8,0,10028,10029,41,9225,25.65555573,28.98666763,3.331111908,25.89602452,0.76694224,1061.737005 +10030,MN,821,34,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,7 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O8,5,0,P,"JACOBSON, ROCHELLE R.",2300,8600,4450,4150,4450,0,0,0,0,0,2,1,4,2,4,25,92,25,86, ,3,N,5,1,45900,417150,0,0,1900,1985,2000,Ladies' Mile Historic District, ,3.74,10,10,10,1,1008210034,0,54,986472,208723,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,242.6798883,2408.468148,371250,7,0,10029,10030,9,2025,32.91555405,32.91555405,0,32.91555405,0,296.2399864 +10031,MN,307,19,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,299 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,ROMAN REALTY CO. LLC.,1356,3437,3437,0,0,1248,0,0,0,2189,2,1,3,0,2,18.08,75,18,66, ,3,N,5,2,110250,397350,0,0,1910,0,0, , ,2.53,3.44,6,6.5,1,1003070019,0,16,986476,200634,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,191.1795491,1407.395113,287100,13,0,10030,10031,7,1575,39.60333252,40.45888901,0.855556488,39.72555488,0.299382406,278.0788841 +10032,MN,771,34,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,209 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WEST 21 STREET ASSOCI,2469,9620,0,9620,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,95400,967050,0,0,1920,1988,0, , ,3.9,4,0,4,1,1007710034,0,87,985070,210062,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,250.44289,2520.537601,871650,7,0,10031,10032,12,2700,22.40399933,26.05444527,3.650445938,23.07422177,1.347590268,276.8906612 +10033,MN,310,35,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,53 HESTER STREET,C6-2, , , , , , , , , ,N,D3,3,0, ,HESTER ALLIANCE PROPE,2188,15376,0,15376,0,0,0,0,0,0,2,1,11,10,10,22.67,100,0,0, ,0,Y,5,5,557098,1805608,0,0,2013,2008,0, , ,7.03,6.02,6,6.5,1,1003100035,0,16,987028,200071,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,250.2132175,2216.952507,1248510,13,0,10032,10033,10,2250,32.88999939,34.98799896,2.097999573,34.07933273,0.660696767,340.7933273 +10034,MN,463,40,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,35 EAST 7 STREET,R8B, , , , , , , , , ,N,S5,4,0, ,35 E 7TH ST LLC,1875,5520,700,4820,700,0,0,0,0,0,2,1,4,5,6,25,75,25,66,E,3,N,5,5,41512,172025,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.94,4,0,4,1,1004630040,0,38,987345,204686,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,205.6070145,1945.075235,130513,12,0,10033,10034,10,2250,34.15777969,34.15777969,0,34.15777969,0,341.5777969 +10035,MN,492,4,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,196 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,196 ELIZABETH ST. LLC,2446,11850,1500,10350,0,1500,0,0,0,0,2,1,6,20,21,25.17,97.17,25,83, ,3,N,5,2,81000,1480950,0,0,1900,2015,0, , ,4.84,6.02,6,6.5,1,1004920004,0,43,985843,202237,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,252.6097947,2559.918078,1399950,0,0,10034,10035,10,2250,39.76666641,39.76666641,0,39.76666641,0,397.6666641 +10036,MN,876,25,106,50,1000,2,2,10003,E005,13,14,5300,1,6,1B,37 GRAMERCY PARK EAST,R9A, , , , , , , , , ,N,D3,3,0, ,37 GRAMMERCY L L C,1595,8694,0,8694,0,0,0,0,0,0,2,1,5,6,6,19.67,81,20,62, ,3,N,5,5,243827,925567,0,0,1927,1987,2008, , ,5.45,7.52,0,7.52,1,1008760025,0,50,988450,208035,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,211.4882417,1724.31923,681740,5,0,10035,10036,7,1575,24.27599907,24.27599907,0,24.27599907,0,169.9319935 +10037,MN,619,5,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,510 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,SUSAN & CHRISTOPHER A,1420,4325,1337,2988,0,1337,0,0,0,0,2,1,3,2,3,22.17,67.75,22.17,40, ,3,Y,5,5,82188,205028,1550,1550,1910,0,0,Greenwich Village Historic District, ,3.05,3.44,2,6.5,1,1006190005,0,73,982567,206484,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,174.8916166,1512.77059,122840,9,0,10036,10037,7,1575,20.56999969,20.56999969,0,20.56999969,0,143.9899979 +10038,MN,801,39,104,91,1000,2,3,10010,E001,13,15,5200,1,4,2A,761 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,VITALE & PALAZZOLO LL,1170,3627,3627,0,1638,1989,0,0,0,0,2,1,4,0,4,19.5,60,20,60,E,3,N,5,2,299700,590400,0,0,1935,1987,0, , ,3.1,10,10,10,1,1008010039,0,91,986481,210528,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,168.7253933,1290.220921,290700,2,0,10037,10038,5,1125,40.39599991,40.39599991,0,40.39599991,0,201.9799995 +10039,MN,393,8,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,173 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,2325,10785,500,10285,500,0,0,0,0,0,2,1,5,9,10,25,93,25,93, ,0,N,3,5,48417,573417,0,502538,1900,1991,0, , ,4.64,4,0,4,1,1003930008,0,28,989986,204240,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,245.213678,2614.816169,525000,12,1,10038,10039,11,2475,9.383999825,11.89111042,2.507110596,9.744403839,0.796619167,107.1884422 +10040,MN,195,15,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3B,89 WALKER STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,SUSAN LUM REALTY CORP,2072,6800,6800,0,5100,1300,400,0,0,0,2,1,4,0,7,23.83,86.17,24,86, ,3,Y,5,2,112500,822150,0,0,1910,0,0, , ,3.28,6.02,6,6.5,1,1001950015,0,31,983852,200834,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,230.1187121,2238.37868,709650,14,0,10039,10040,9,2025,13.85000038,13.85000038,0,13.85000038,0,124.6500034 +10041,MN,529,7504,102,55.02,2003,2,1,10012,L009,9,15,5700,2,2, ,1 BOND STREET,M1-5B, , , , , , , , , ,N,RM,4,0,P,OWNER / AGENT,8700,47345,8398,38947,0,8398,0,0,0,0,2,1,6,19,20,76,114.5,0,0, ,0,Y,5,5,1516503,5288403,38460,38460,1900,0,0,NoHo Historic District,ROBBINS & APPLETON BUILDING,5.44,0,5,6.5,1,1005297504,631,5502,985702,204017,12c, ,103 009,10207, ,1005290010,7/22/1989,1, , ,17V1.1,7,392.9942761,9250.669247,3771900,9,0,10040,10041,42,9450,42.89333344,43.59222031,0.698886871,43.21390479,0.099843934,1814.984001 +10042,MN,308,19,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,57 ORCHARD STREET,C6-2, , , , , , , , , ,N,K4,4,0, ,ORCHARD STREET EQUITI,2163,5360,5360,0,2146,2166,0,0,0,1048,2,1,2,0,2,24.58,88.08,25,88, ,3,N,4,2,138150,535950,0,0,1900,0,0, , ,2.48,6.02,6,6.5,1,1003080019,0,16,986690,200412,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.2119831,2238.631651,397800,13,0,10041,10042,9,2025,36.62400055,36.62400055,0,36.62400055,0,329.6160049 +10043,MN,574,72,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,57 WEST 10 STREET,R6, , , , , , , , , ,N,D7,4,0,P,57 WEST 10TH STREET A,2077,13278,1450,11828,0,1450,0,0,0,0,2,1,8,22,23,21.92,94.75,22,95, ,3,N,5,2,234900,1709550,0,0,1915,1984,0,Greenwich Village Historic District, ,6.39,2.43,0,4.8,1,1005740072,0,63,984844,206937,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.6484984,1993.74853,1474650,8,0,10042,10043,9,2025,20.66300011,21.04855537,0.385555267,20.70583958,0.121168331,186.3525562 +10044,MN,448,20,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,72 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,K&T REALTY ASSOCIATES,2271,10920,2000,8920,0,2000,0,0,0,0,2,1,6,22,24,25,90.83,25,76, ,3,N,5,2,214650,1098900,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.81,4,0,4,1,1004480020,0,38,987911,204213,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,240.0087383,2347.56747,884250,12,0,10043,10044,12,2700,27.1590004,28.88999939,1.730998993,27.43071334,0.531121121,329.16856 +10045,MN,625,29,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,50 JANE STREET,C1-6, , , , , , , , , ,N,C0,2,0, ,"GILLEN, JOHN M JR.",1800,3960,0,2860,0,0,0,0,0,0,2,1,2,3,3,22.5,80,22.5,40,E,3,N,5,1,46180,186390,1550,1550,1846,0,0,Greenwich Village Historic District, ,2.2,3.44,2,6.5,1,1006250029,0,77,982853,208136,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,211.8277693,1956.295855,140210,8,0,10044,10045,8,1800,17.76333427,17.76333427,0,17.76333427,0,142.1066742 +10046,MN,147,9,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,145 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,DUVOOR CORPORATION,1862,9373,2400,6973,0,2400,0,0,0,0,2,1,5,4,5,25,75,25,75, ,3,N,5,5,63238,439400,0,0,1930,1983,0,Tribeca South Historic District, ,5.03,6.02,6,6.5,1,1001470009,0,33,982054,200349,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,204.0843113,1876.635196,376162,14,0,10045,10046,8,1800,12.94333363,12.94333363,0,12.94333363,0,103.546669 +10047,MN,468,15,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,212 EAST 13 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,212 E 13 OWNERS CP,3201,14022,0,14022,0,0,0,0,0,0,2,1,6,23,23,31,103.25,31,90, ,3,N,5,2,234000,1545750,0,0,1930,1984,0, , ,4.38,4,0,4,1,1004680015,0,40,987810,206011,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,274.0052671,3245.54962,1311750,12,0,10046,10047,14,3150,28.72333336,32.3133316,3.589998245,29.08874593,0.95344333,407.2424431 +10048,MN,781,10,105,101,1004,2,3,10121,L024,14,15,5200,1,5,1H,380 7 AVENUE,C6-6, , , , , ,MID, , , ,N,Z9, ,0,X,NEW JERSEY TRANSIT CO,4072,0,0,0,0,0,0,0,0,0,7,1,0,0,0,34.13,121.5,0,0, ,0,Y,1,5,1506600,1506600,1506600,1506600,0,0,0, , ,0,10,15,15,1,1007810010,0,101,986398,212295,8d, ,15S 022,10304, ,0, ,1, , ,17V1.1,0,326.8078267,4058.158054,0,6,0,10047,10048,18,4050,37.07444382,42.96889114,5.894447327,39.17011113,2.55787822,705.0620003 +10049,MN,452,49,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,217 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,RENTAL APARTMENTS,2369,10280,1000,9280,0,1000,0,0,0,0,2,1,5,20,21,25,94.75,25,84, ,3,N,5,2,183150,1441350,0,0,1900,1988,0, , ,4.34,4,0,4,1,1004520049,0,40,988215,205070,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,249.5937673,2449.699846,1258200,12,0,10048,10049,11,2475,22.86222267,28.48888969,5.626667023,23.37373786,1.617553039,257.1111164 +10050,MN,519,28,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,22 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,KING ENTERPRISES LTD,2598,11826,0,11826,0,0,0,0,0,0,2,1,6,24,24,25.92,100.25,26,87, ,3,N,5,2,215100,1638000,0,0,1920,1988,0,Charlton-King-Vandam Historic District, ,4.55,3.44,0,6.5,1,1005190028,0,37,983240,204319,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,262.0808811,2847.380009,1422900,9,0,10049,10050,12,2700,16.83888817,17.95666504,1.117776871,16.93203624,0.308937207,203.1844349 +10051,MN,742,74,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,140 9 AVENUE,C2-6A, , , , , , , , , ,N,S2,4,0, ,"BANK, L. 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,17V1.1,0,397.5707147,9808.146791,2584350,6,0,10070,10071,43,9675,33.70700073,39.72444534,6.017444611,34.77572676,1.634518458,1495.356251 +10072,MN,637,7507,102,75,2002,2,3,10014,L005,6,15,6400,2,2, ,360 WEST 11 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,6615,32308,13697,18611,0,11350,0,0,0,2347,2,1,12,5,7,66,100.25,66,98, ,0,N,5,5,9119,523849,0,0,2006,0,0, , ,4.88,4,2,4,1,1006377507,1761,75,981754,207130,12a, ,103 011,10210, ,1006370060,1/3/2008,1, , ,17V1.1,7,333.0041915,6637.790032,514730,9,1,10071,10072,29,6525,10.60299969,10.60299969,0,10.60299969,0,307.4869909 +10073,MN,925,48,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,338 EAST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,SLOVAK EVANG CONG,1840,3840,0,3840,0,0,0,0,0,0,2,1,4,8,8,20,92,20,48, ,3,N,5,2,46913,200170,11727,50044,1910,1987,0, , ,2.09,4,0,4,1,1009250048,0,64,989556,207125,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,232.5824432,1895.117071,153257,5,0,10072,10073,9,2025,15.27999973,18.27000046,2.990000725,16.2791357,1.143480822,146.5122213 +10074,MN,924,1,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,310 2 AVENUE,R9A, , , , , , , , , ,N,C7,4,0,P,"SW 310, LLC",1200,5000,1000,4000,0,1000,0,0,0,0,2,1,5,8,9,20,60,19,50, ,2,N,3,2,122965,462688,0,0,1910,0,0, , ,4.17,7.52,0,7.52,1,1009240001,0,48,989012,206996,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,173.1061946,1415.897665,339723,5,0,10073,10074,7,1575,14.83555603,22.23999977,7.404443741,15.89333371,2.591015571,111.253336 +10075,MN,885,37,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,145 EAST 29 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,"OAKRIGE CENTER, LLC",3888,15360,1200,14160,1200,0,0,0,0,0,2,1,6,37,39,40,98.75,40,66, ,3,N,5,1,351450,1579050,23600,23600,1965,0,0, , ,3.95,4,0,4,1,1008850037,0,72,989528,209995,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,280.7320112,3955.142762,1227600,11,0,10074,10075,18,4050,30.56200027,33.15000153,2.588001251,30.70577812,0.592811251,552.7040062 +10076,MN,744,40,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1A,205 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,205 EIGHTH AVE LLC,2500,10800,2000,8800,0,2000,0,0,0,0,2,1,5,10,11,25,100,25,86, ,3,N,5,2,100350,1311300,0,0,1900,1986,0, , ,4.32,4,2,4,1,1007440040,0,89,984265,210282,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,250.6170696,2533.492979,1210950,7,0,10075,10076,12,2700,15.84222221,23.11444473,7.272222519,16.69430558,2.099435732,200.3316669 +10077,MN,414,30,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,286 BROOME STREET,C4-4A, , , , , , , , , ,N,C4,2,0,P,TIN T CHANG,2237,10779,1700,9079,0,1700,0,0,0,0,2,1,5,8,9,21.92,102.08,22,69,E,3,N,5,2,9601,103324,0,0,1900,0,0, , ,4.82,4,4,4,1,1004140030,0,18,986639,201114,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,252.5914931,2325.17079,93723,13,0,10076,10077,10,2250,41.00333405,42.01677704,1.013442993,41.4251564,0.287994394,414.251564 +10078,MN,991,61,106,62,2000,2,4,10010,E016,13,14,6000,1,6, ,40 WATERSIDE PLAZA,C2-7, , , , , , , , , ,N,D3,3,0,C,WATERSIDE PLAZA LP,36897,385786,7430,378356,1142,0,0,5288,0,1000,2,1,34,370,375,546.06,179.8,135,125, ,1,Y,2,0,4050000,30259800,4050000,30259800,1973,0,0, , ,10.46,7.52,2,10,1,1009910061,0,62,0,0,8d, ,104 055,10310, ,1009910060,4/12/2000,1,1,1,17V1.1,0,1385.39411,31085.90983,26209800,11,1,10077,10078,138,31050,1.155777931,7.483333111,6.32755518,6.208840897,1.191993405,856.8200438 +10079,MN,399,36,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,42 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,42 AVENUE B LLC,1923,7570,1000,6570,0,1000,0,0,0,0,2,1,5,9,11,24,80,24,62, ,3,N,5,2,180000,1171350,0,0,1900,2005,0, , ,3.94,4,0,4,1,1003990036,0,32,988957,202676,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,210.3151765,1968.074109,991350,1,0,10078,10079,8,1800,18.04222298,18.04222298,0,18.04222298,0,144.3377838 +10080,MN,442,20,103,36.02,2003,1,2,10003,L018,9,14,6500,1,3,3B,47 1/2 EAST 1 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,47 EAST FIRST LLC,1428,5090,0,5090,0,0,0,0,0,0,2,1,5,10,10,20.58,69.67,21,50, ,3,Y,5,2,24057,202302,0,0,1900,1986,2009, , ,3.56,4,0,4,1,1004420020,0,3602,987070,202923,12c, ,102 002,10205, ,0, ,1, , ,17V1.1,0,185.7675229,1483.827282,178245,1,0,10079,10080,6,1350,36.32099915,37.23333359,0.912334442,36.47305489,0.340006972,218.8383293 +10081,MN,455,19,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,324 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C1,2,0, ,324 EAST 14TH STREET,2323,6300,0,6300,0,0,0,0,0,0,2,1,4,15,15,22.5,103.25,23,80, ,2,N,5,1,178650,580950,0,0,1930,1987,0, , ,2.71,4,2,4,1,1004550019,0,40,988658,205846,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,254.9206119,2369.846324,402300,12,0,10080,10081,11,2475,25.63222122,26.77444458,1.142223358,25.94904033,0.276091267,285.4394436 +10082,MN,190,7505,101,33,3014,2,1,10013,E007,1,15,7700,3,1, ,25 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,8116,111829,7079,104750,0,5683,0,1396,0,0,2,1,17,37,40,0.18,75,0,0, ,0,N,3,5,1351802,14537789,5130,5130,1924,2003,0,Tribeca West Historic District, ,13.78,6.02,6,6.5,1,1001907505,1181,33,982272,201593,12a, ,11N 041,10105, ,1001900001,2/14/2001,1, , ,17V1.1,7,377.9049591,8653.443597,13186000,14,0,10081,10082,39,8775,15.05022144,15.75599957,0.705778122,15.73790269,0.111556629,613.7782049 +10083,MN,21,1,101,13,2010,2,1,10006,E010,1,15,7700,1,1, ,61 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,RXR 61 BROADWAY OWNER,22197,650740,650740,0,633379,15361,0,2000,0,0,2,1,33,0,102,105.08,202.21,105,202, ,2,Y,3,1,15795000,64093500,0,0,1913,1986,0, , ,29.32,10,15,15,1,1000210001,0,13,980691,196894,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,641.9603322,23307.21666,48298500,15,0,10082,10083,102,22950,22.4244442,26.73800087,4.313556671,26.6665978,0.513589847,2719.992975 +10084,MN,376,30,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,274 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,274 EAST SEVENTH STRE,2726,13002,0,13002,0,0,0,0,0,0,2,1,6,13,13,30,90.83,30,79, ,3,N,5,2,108000,1069650,108000,934788,1910,0,0, , ,4.77,4,0,4,1,1003760030,0,2602,990578,202733,12c, ,102 023,10202, ,0, ,1, , ,17V1.1,0,245.1227054,2749.059571,961650,12,1,10083,10084,12,2700,7.864444256,10.45622253,2.591778278,8.275888761,0.921389693,99.31066513 +10085,MN,545,7502,102,57,2003,2,2,10003,E033,9,15,5700,2,2, ,704 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5937,52538,6516,46022,0,6516,0,0,0,0,2,1,10,10,11,50,137.65,0,0, ,0,Y,0,5,1115999,7164448,4720,4720,1895,1998,0,NoHo Historic District, ,8.85,0,5,6.5,1,1005457502,992,57,985996,204713,12c, ,103 024,10207, ,1005450004,11/26/1997,1, , ,17V1.1,7,385.4293656,6187.06567,6048450,9,0,10084,10085,27,6075,39.52700043,42.63666534,3.109664917,39.70309914,0.653728677,1071.983677 +10086,MN,521,77,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,308 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,K4,4,0, ,"308-310 BOWERY, LLC",4496,8900,7100,1800,3500,3600,0,0,0,0,2,1,3,2,5,45.25,99.42,45.25,99.42, ,0,N,5,5,450000,1836900,0,0,1910,2002,2013,Noho East Historic District, ,1.98,3.44,6,6.5,1,1005210077,0,5502,986267,203398,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,298.2644619,4684.482294,1386900,9,0,10085,10086,21,4725,43.41222,43.41222,0,43.41222,0,911.65662 +10087,MN,818,37,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,5 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C5,2,0,P,"5 W. 16 STREET, LLC",3066,8469,2000,6469,0,2000,0,0,0,0,2,1,4,12,17,33.33,92,33,86,E,3,N,5,2,155250,1304550,0,0,1925,1987,0, ,5 WEST 16TH STREET BUILDING (PART O,2.76,6.02,6,6.5,1,1008180037,0,54,986095,208095,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,255.5864907,3085.707942,1149300,7,0,10086,10087,13,2925,31.11599922,31.11599922,0,31.11599922,0,404.5079899 +10088,MN,162,55,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,14 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,CHUNG SHAN ASSOCIATIO,2460,6085,6085,0,4085,2000,0,0,0,0,2,1,4,0,4,25.5,101.17,26,85, ,3,Y,5,2,177300,415350,0,0,1915,0,0, , ,2.47,3.44,6,6.5,1,1001620055,0,29,984918,199594,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,256.6315462,2496.674061,238050,16,0,10087,10088,11,2475,39.70399857,39.70399857,0,39.70399857,0,436.7439842 +10089,MN,460,54,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,65 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQ. HOUSING DE,2500,13200,794,12406,0,794,0,0,0,0,2,1,6,14,16,25,100,25,88, ,0,N,5,5,154350,1156950,145089,1087533,1920,1997,0,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004600054,0,38,986857,204115,12c, ,102 009,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,260.1332849,2675.307026,1002600,1,0,10088,10089,12,2700,35.65444565,37.72444534,2.069999695,35.98240852,0.734533736,431.7889023 +10090,MN,492,7502,102,43,2000,2,1,10012,L020,5,15,6800,1,2, ,2 PRINCE STREET,C6-1, , , , , ,LI, , , ,N,RM,4,0,P,OWNER / AGENT,3742,15759,4195,11564,0,2948,0,1247,0,0,2,1,6,10,14,27.67,100.25,0,0, ,0,Y,5,5,654750,3029852,27624,40175,1900,1985,0, , ,4.21,3.44,6,6.5,1,1004927502,382,43,986007,202461,12c, ,101N076,10206, ,1004920019,4/20/1987,1, , ,17V1.1,7,291.1926206,4152.554856,2375100,0,0,10089,10090,19,4275,39.76666641,46.15222168,6.385555267,42.48472435,2.033738738,807.2097626 +10091,MN,402,45,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,539 EAST 6 STREET,R7B,R7A, , ,C1-5, , , , , ,Y,D1,3,0, ,SIX AB LLC,4186,16384,0,16384,0,0,0,0,0,0,2,5,6,22,22,46,90.83,45,90, ,0,N,5,5,225000,2562300,0,2333837,1900,2003,0, , ,3.91,3,0,3,1,1004020045,0,32,989252,203363,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,279.8727918,4352.432248,2337300,1,0,10090,10091,20,4500,12.85000038,14.24333286,1.393332481,12.91966701,0.303669774,258.3933401 +10092,MN,887,87,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,120 EAST 32 STREET,C6-2A, , , , , , , , , ,N,O2,5,0, ,"ALROSE 32, LLC.,",2016,7656,7656,0,7656,0,0,0,0,0,2,1,4,0,4,20.42,98.75,20.42,98, ,2,N,5,2,443250,2568600,0,0,1915,2009,0, , ,3.8,6.02,6,6.5,1,1008870087,0,72,989385,210777,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,244.4712773,2239.920871,2125350,10,0,10091,10092,10,2250,29.31800079,35.15999985,5.841999054,29.9022007,1.752599716,299.022007 +10093,MN,163,38,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,20 BOWERY,C6-1, , , , , , , , , ,N,C7,4,0,P,HIP WAH HING REALTY C,4855,19420,5000,14420,0,3000,0,0,0,2000,2,1,4,21,26,47.58,97.17,47,97, ,0,Y,3,2,379350,1270350,0,0,1910,1957,0, , ,4,3.44,6,6.5,1,1001630038,0,29,984975,199695,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,300.9578399,5007.856336,891000,16,0,10092,10093,22,4950,33.5909996,33.5909996,0,33.5909996,0,739.0019913 +10094,MN,464,16,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,212 EAST 9 STREET,R8B, , , , , , , , , ,N,K4,4,0, ,"212 E.9TH STREET,LLC",1350,3564,3564,0,0,1300,0,0,0,2264,2,1,3,0,3,18,75,18,72, ,3,N,5,2,225000,1238850,0,0,1900,1980,1999, , ,2.64,4,0,4,1,1004640016,0,38,987357,205104,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,195.966496,1466.131915,1013850,12,0,10093,10094,6,1350,34.9980011,34.9980011,0,34.9980011,0,209.9880066 +10095,MN,720,14,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,467 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,465 WEST 22ND STREET,3292,7890,0,7890,0,0,0,0,0,0,2,1,4,6,6,33.33,98.75,33.33,54, ,0,N,5,5,134462,628342,0,0,1900,1979,1997,Chelsea Historic District Extension, ,2.4,3,0,3,1,1007200014,0,93,983241,211375,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,257.8334688,3267.624925,493880,2,1,10094,10095,15,3375,9.369999886,9.369999886,0,9.369999886,0,140.5499983 +10096,MN,285,20,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,211 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"211 EAST BWAY, LLC",2188,8170,1700,6470,0,1700,0,0,0,0,2,1,5,7,9,25,87.5,25,76, ,3,N,5,1,46932,291651,0,0,1910,1968,0, , ,3.73,3.44,0,6.5,1,1002850020,0,6,987677,199420,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,235.1442364,2331.095183,244719,13,0,10095,10096,9,2025,23.9640007,23.9640007,0,23.9640007,0,215.6760063 +10097,MN,834,73,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,50 WEST 33 STREET,C6-6, , , , , ,MID, , , ,N,K2,5,0, ,RCI HOLDINGS INC.,3917,7450,7450,0,0,7450,0,0,0,0,2,1,2,0,1,39.5,98.75,40,99, ,3,N,5,2,1075500,4679550,0,0,1927,0,0, , ,1.9,10,15,15,1,1008340073,0,76,987734,211986,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,297.3387329,4453.734874,3604050,10,0,10096,10097,21,4725,45.84899902,46.07277679,0.223777771,45.86762328,0.058060831,963.220089 +10098,MN,834,28,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,23 WEST 32 STREET,C6-4, , , , , , , , , ,N,K2,5,0, ,"ANDREW 32, LLC",2345,9458,9458,0,0,9458,0,0,0,0,2,1,5,0,4,23.75,98.75,24,95,E,3,N,5,2,805500,2953350,0,0,1905,1995,0, , ,4.03,10,10,10,1,1008340028,0,76,987946,211751,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,249.1274258,2299.767195,2147850,10,0,10097,10098,12,2700,45.84899902,45.90355301,0.054553986,45.85354519,0.015077925,550.2425423 +10099,MN,487,6,102,47,1003,2,1,10013,L008,1,15,6800,1,2,1A,498 BROOME STREET,M1-5A, , , , , , , , , ,N,D7,4,0, ,GOOSE MOUNTAIN NYC LL,1500,8567,1645,6922,0,1645,0,0,0,0,2,1,5,4,5,20,75,20,75, ,3,N,5,2,202346,984301,0,0,1900,1988,2013,SoHo-Cast Iron Historic District, ,5.71,0,5,6.5,1,1004870006,0,47,983521,202825,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,197.0233774,1664.111128,781955,0,1,10098,10099,8,1800,12.633111,13.42399979,0.790888786,13.32513869,0.26156188,106.6011095 +10100,MN,712,29,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,47 9 AVENUE,M1-5, , , , , ,WCH, , , ,N,K4,4,0, ,401 W. 14TH FEE LLC,13531,53186,53186,0,19946,33240,0,0,0,0,2,1,4,0,10,108.25,125,106,122, ,3,N,3,2,648000,35597700,0,2565900,1923,2006,2006,Gansevoort Market Historic District, ,3.93,0,5,6.5,1,1007120029,0,83,982712,209365,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,488.4352414,14900.432,34949700,7,0,10099,10100,68,15300,12.4989996,15.5496664,3.050666809,12.56822998,0.41526572,854.6396389 +10101,MN,825,9,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,61 WEST 23 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,61 WEST 23RD STREET L,7357,46900,46900,0,20100,26800,0,0,0,0,2,1,7,0,8,75,98.75,75,99, ,3,N,5,2,1044000,4868550,0,0,1920,0,0,Ladies' Mile Historic District, ,6.37,0,10,10,1,1008250009,0,58,986528,209887,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,365.819775,8144.618924,3824550,2,0,10100,10101,36,8100,35.97100067,35.98311234,0.012111664,35.97133711,0.001990377,1294.968136 +10102,MN,634,67,102,75,3000,2,3,10014,L005,6,15,6400,1,2,2K,569 HUDSON STREET,C1-6, , , , , , , , , ,N,C4,2,0,P,"569 HUDSON, LLC",1904,8902,3190,5712,0,1606,0,1584,0,0,2,1,4,16,17,24.83,78.25,25,78, ,3,Y,3,2,463500,1602000,0,0,1900,0,0,Greenwich Village Historic District, ,4.68,3.44,2,6.5,1,1006340067,0,75,982519,207389,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,211.9025279,2007.9536,1138500,8,0,10101,10102,8,1800,18.61700058,18.61700058,0,18.61700058,0,148.9360046 +10103,MN,299,32,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,15 ORCHARD STREET,C6-2, , , , , , , , , ,N,S3,4,0, ,"15 ORCHARD STREET, LL",1000,4980,996,3984,0,996,0,0,0,0,2,1,4,3,4,20,50,20,50, ,0,N,5,5,381924,558838,0,0,1900,0,0, , ,4.98,6.02,6,6.5,1,1002990032,0,16,986489,199847,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,145.372258,1020.269197,176914,13,0,10102,10103,5,1125,40.40000153,40.40000153,0,40.40000153,0,202.0000076 +10104,MN,798,49,104,91,1004,2,3,10010,L012,13,15,5200,1,4,2A,711 AVENUE OF THE AMER,C6-3X, , , , , , , , , ,N,K4,4,0, ,WEST 23RD STREET REAL,1605,8025,8025,0,3350,4675,0,0,0,0,2,1,5,0,5,26.75,60,27,60, ,3,N,3,2,549000,1761300,0,0,1910,0,0,Ladies' Mile Historic District, ,5,9,6,9,1,1007980049,0,91,986146,209921,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,178.0393582,1681.506778,1212300,2,0,10103,10104,8,1800,28.16444397,33.66666794,5.502223969,29.50333309,2.3201832,236.0266647 +10105,MN,495,32,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,235 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,DEMARINIS REALTY LLC,2504,6335,1200,5135,0,1200,0,0,0,0,2,1,5,8,9,25.25,99.17,25,50, ,2,N,5,0,115752,534149,0,0,1910,1988,2006, , ,2.53,6.02,6,6.5,1,1004950032,0,43,985296,202595,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,255.9589351,2613.291333,418397,0,0,10104,10105,12,2700,37.57110977,40.74044418,3.169334412,37.93620269,0.908917794,455.2344322 +10106,MN,189,30,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,20 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,20 26 NO MOORE ST COR,6318,60600,7575,53025,0,0,0,7575,0,0,2,1,9,19,20,71.67,88,72,82, ,3,N,5,2,360000,5082750,11800,11800,1921,1988,0,Tribeca West Historic District, ,9.59,6.02,6,6.5,1,1001890030,0,33,982220,201456,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,330.90939,6705.616523,4722750,14,1,10105,10106,30,6750,10.17444515,12.77044392,2.595998764,10.33806731,0.613309792,310.1420193 +10107,MN,531,51,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,40 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,40 GREAT JONES CORP,2012,13276,1900,11376,0,1900,0,0,0,0,2,1,7,5,6,22.58,90,23,90, ,2,N,5,2,66580,580160,23080,23080,1900,1974,2008,NoHo Historic District Extension, ,6.6,0,5,6.5,1,1005310051,0,5502,986299,204157,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,233.2024071,2131.549423,513580,9,0,10106,10107,11,2475,41.26444626,44.46889114,3.204444885,41.77538508,1.024360596,459.5292358 +10108,MN,856,58,105,56,1002,2,2,10010,E001,13,15,5700,1,5,1B,56 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,MADISON SIXTY OWNER L,14825,169360,169360,0,156333,13027,0,0,0,0,2,1,12,0,67,98.75,90,198,90, ,3,Y,4,2,8055000,17632800,0,0,1910,1979,2011,Madison Square North Historic District, ,11.42,10,10,10,1,1008560058,0,56,987955,210074,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,605.5981076,16001.22739,9577800,11,0,10107,10108,72,16200,35.94333267,37.04666901,1.103336334,36.65089575,0.197169794,2638.864494 +10109,MN,141,19,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,323 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,323 HOLDING COMPANY L,2080,9664,1679,7985,0,1679,0,0,0,0,2,1,5,4,5,25.58,80,26,74, ,3,N,5,5,145690,351388,0,0,1920,2008,2008,Tribeca West Historic District, ,4.65,6.02,6,6.5,1,1001410019,0,39,981361,200586,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,219.5344079,2167.529244,205698,14,0,10108,10109,10,2250,16.8029995,16.8029995,0,16.8029995,0,168.029995 +10110,MN,443,19,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,65 EAST 2 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,TRIOST E2 LLC,1407,2848,0,2848,0,0,0,0,0,0,2,1,3,3,3,25,57.75,25,57.75,E,3,Y,3,2,25899,50375,0,0,1900,2013,0,East Village/Lower East Side Historic Di, ,2.02,4,0,4,1,1004430019,0,3602,987215,203161,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,165.3665406,1406.431344,24476,1,0,10109,10110,6,1350,31.53899956,31.53899956,0,31.53899956,0,189.2339973 +10111,MN,622,13,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,294 WEST 11 STREET,C1-6, , , , , , , , , ,N,C0,2,0, ,"O'LEARY, THERESA",2358,4680,0,3510,0,0,0,0,0,0,2,1,3,3,3,25.58,96.08,26,45, ,3,Y,5,1,39401,197571,5690,5690,1901,1987,0,Greenwich Village Historic District, ,1.98,3.44,2,6.5,1,1006220013,0,73,982738,207312,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,247.2942293,2522.6753,158170,8,0,10110,10111,11,2475,22.42000008,22.42000008,0,22.42000008,0,246.6200008 +10112,MN,225,7501,101,39,1007,2,1,10013,L008,1,15,7700,3,1, ,465 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,15700,82548,8629,73919,8629,0,0,0,0,0,2,1,6,38,41,175.75,100.08,0,0, ,0,Y,4,5,1084500,7299900,132556,132556,1910,0,0,Tribeca North Historic District, ,5.26,6.02,6,6.5,1,1002257501,1321,39,981698,202947,12a, ,11N 040,10105, ,1002250001,10/31/2003,1, ,1,17V1.1,7,559.8053826,16326.99863,6215400,0,1,10111,10112,73,16425,8.35888958,10.40444469,2.045555115,8.386910883,0.23776864,612.2444944 +10113,MN,281,45,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,39 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,GOLDEN SUN REALTY LLC,1412,5906,3886,2020,2000,1295,0,591,0,0,2,1,5,2,6,25.25,56,25,56,E,3,Y,5,2,94050,533250,0,0,1900,2003,0, , ,4.18,3.44,6,6.5,1,1002810045,0,8,985462,199411,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,171.3849755,1527.017214,439200,16,0,10112,10113,6,1350,35.10200119,38.9944458,3.892444611,36.38151932,1.809779359,218.2891159 +10114,MN,774,13,104,91,2002,2,3,10011,E001,10,15,5200,1,4,2A,245 WEST 24 STREET,R8A, , , , , , , , , ,N,C6,2,0, ,W G K APARTMENT CORP,1760,3340,0,3340,0,0,0,0,0,0,2,1,3,4,4,20,88,20,49,E,3,N,5,1,61571,261531,5130,5130,1920,1978,0, , ,1.9,6,0,6,1,1007740013,0,91,985102,210969,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,224.5449303,1985.854961,199960,2,0,10113,10114,10,2250,24.85199928,29.64666557,4.79466629,25.58659935,1.552474134,255.8659935 +10115,MN,281,17,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,38 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0,P,KEMPIRE REALTY INC,1759,7117,1550,5567,0,1550,0,0,0,0,2,1,5,16,18,25,69.83,25,58, ,3,Y,5,2,135000,1322550,0,0,1900,1986,0, , ,4.05,3.44,6,6.5,1,1002810017,0,8,985296,199316,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,194.3938274,1732.287649,1187550,16,0,10114,10115,6,1350,35.10200119,35.60066605,0.498664856,35.185112,0.185841419,211.110672 +10116,MN,479,16,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,24 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,HOP HING 24 REALTY CO,2057,7869,1600,6269,0,1600,0,0,0,0,2,1,7,7,8,23.58,91.42,24,81,E,3,Y,5,0,15941,335302,0,0,1900,2003,0, , ,3.83,6.02,6,6.5,1,1004790016,0,41,985561,202077,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,224.9253082,2052.113762,319361,0,0,10115,10116,9,2025,38.05444717,41.53444672,3.479999542,38.44111379,1.093658344,345.9700241 +10117,MN,238,19,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,219 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,D7,4,0,P,"219 GRAND PROPERTY, L",2200,10520,4208,6312,0,4208,0,0,0,0,2,1,5,7,10,40.08,55,40,54, ,3,Y,3,2,193771,691548,0,0,1900,1989,2009, , ,4.78,6.02,6,6.5,1,1002380019,0,41,985384,201108,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,204.5630393,2520.16377,497777,0,0,10116,10117,10,2250,30.81999969,32.08555603,1.265556335,31.81215591,0.335216032,318.1215591 +10118,MN,508,43,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,237 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,237 ELIZABETH LLC,1828,5312,1062,4250,0,1062,0,0,0,0,2,1,5,7,8,20.25,90.25,20,49, ,3,Y,5,2,20528,133727,0,0,1910,0,0, , ,2.91,6.02,6,6.5,1,1005080043,0,43,985854,202760,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,228.9866744,1907.773205,113199,9,0,10117,10118,9,2025,43.06000137,43.06000137,0,43.06000137,0,387.5400124 +10119,MN,889,62,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,138 EAST 34 STREET,C1-9, , , , , , , , , ,N,S9,4,0,P,138-34 EQUITIES LLC,1975,7035,2349,4686,0,1309,0,0,0,1040,2,1,5,6,9,20,98.75,20,96,E,2,N,5,2,205239,694031,0,0,1910,0,0, , ,3.56,10,2,10,1,1008890062,0,72,989929,211068,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,253.5201367,2135.211628,488792,10,0,10118,10119,10,2250,31.91222191,39.34111023,7.428888321,34.81241169,2.208035698,348.1241169 +10120,MN,615,68,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,16 JANE STREET,R6, , , , , , , , , ,N,C4,2,0, ,JANE STREET ASSOCIATE,3272,13200,0,13200,0,0,0,0,0,0,2,1,5,28,28,48,68.17,48,54, ,3,Y,5,2,233100,2064150,0,1330610,1900,1966,0,Greenwich Village Historic District, ,4.03,2.43,0,4.8,1,1006150068,0,77,983441,208141,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,231.5909838,3277.505937,1831050,8,0,10119,10120,18,4050,21.74111176,24.67555618,2.934444427,22.38608689,1.177939964,402.949564 +10121,MN,280,36,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,49 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,49 EAST BROADWAY REAL,1875,8775,5275,3500,3500,1775,0,0,0,0,2,1,5,2,13,25,75,25,75,E,3,N,5,2,148500,998550,0,0,1920,2010,0, , ,4.68,3.44,6,6.5,1,1002800036,0,8,985436,199182,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,209.2254991,2066.946084,850050,16,0,10120,10121,10,2250,29.04899979,29.04899979,0,29.04899979,0,290.4899979 +10122,MN,793,29,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,111 WEST 17 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,PAJEOT & OTTER LLC,1840,8900,6500,2400,3475,1625,0,0,0,1400,2,1,5,1,5,20,92,20,70, ,3,N,5,2,279000,1530000,0,0,1920,2000,0, , ,4.84,6.02,6,6.5,1,1007930029,0,81,985364,208779,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,231.6141441,1816.450441,1251000,7,0,10121,10122,8,1800,27.66555595,27.66555595,0,27.66555595,0,221.3244476 +10123,MN,468,49,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,225 EAST 12 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,EAST SIDE DEVMNT ASSO,2581,6000,0,6000,0,0,0,0,0,0,2,1,4,9,9,25,103.25,25,58, ,3,N,5,1,112283,449835,0,0,1925,1988,0, , ,2.32,4,0,4,1,1004680049,0,40,987933,205821,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,261.4629741,2605.369385,337552,12,0,10122,10123,11,2475,29.27111053,32.41888809,3.147777557,29.76147409,0.880847466,327.376215 +10124,MN,231,16,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,50 HOWARD STREET,M1-5B, , , , , , , , , ,N,S5,4,0,P,ROAG INC,4341,30500,4500,26000,0,4500,0,0,0,0,2,1,5,6,7,48,79,78,79, ,3,Y,4,2,178551,2151968,0,0,1915,1989,2007,SoHo-Cast Iron Historic District, ,7.03,0,5,6.5,1,1002310016,0,47,983733,201727,12a, ,101N046,10105,R-89,1002310016,10/27/1993,1, , ,17V1.1,0,328.7403791,4591.91242,1973420,0,0,10123,10124,21,4725,12.30000019,12.30000019,0,12.30000019,0,258.300004 +10125,MN,170,1,101,31,1011,2,1,10013,L001,5,15,7700,1,1,3A,336 BROADWAY,C6-4A, , , , , , , , , ,N,D6,4,0,P,"CATHERINE-WORTH, LLC",12075,139697,13697,126000,0,7000,6697,0,0,0,2,1,15,147,151,116.5,101.67,116.5,121, ,2,Y,3,2,3532500,22219200,0,0,1999,0,0, , ,11.57,10,10,10,1,1001700001,0,31,983120,200269,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,477.2930121,12810.10662,18686700,14,0,10124,10125,58,13050,30.04000092,37.04222107,7.002220154,30.70413879,1.963850927,1780.84005 +10126,MN,304,20,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,247 GRAND STREET,C6-1G, , , , , ,TA, , , ,N,K4,4,0, ,TONG FAT REALTY CORP,2450,6050,6050,0,0,2000,0,0,0,4050,2,1,3,3,5,25.33,100.33,20,66,E,3,Y,5,2,179100,802350,0,0,1900,0,0, , ,2.47,3.44,6,6.5,1,1003040020,0,16,985828,200879,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,258.1833031,2645.443162,623250,0,0,10125,10126,13,2925,34.17111206,35.45999908,1.288887024,34.33738532,0.398397395,446.3860092 +10127,MN,283,8,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,123 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,B.K. & C. REALTY INC.,2500,9970,0,9970,0,0,0,0,0,0,2,1,5,20,20,25,100,25,87, ,3,N,5,2,168750,526950,0,0,1900,1984,1987, , ,3.99,3.44,0,6.5,1,1002830008,0,6,986608,199220,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,260.9745514,2659.7541,358200,16,0,10126,10127,13,2925,32.40222168,36.89444351,4.492221832,33.08119612,1.592636828,430.0555496 +10128,MN,742,56,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,332 WEST 19 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CHELSEA COURT EQUITIE,2155,7589,0,7589,0,0,0,0,0,0,2,1,4,5,5,23.42,92,23,54, ,3,N,5,1,289453,595329,2433,2433,1910,1989,0, , ,3.52,3,0,3,1,1007420056,0,89,983752,210059,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,235.5117826,2258.030934,305876,7,0,10127,10128,9,2025,15.59444427,17.92333221,2.328887939,15.8532096,0.731898869,142.6788864 +10129,MN,587,12,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,20 COMMERCE STREET,C2-6, , , , , , , , , ,N,C5,2,0, ,MERAUKE LLC,3050,10646,0,10646,0,0,0,0,0,0,2,1,4,20,20,50,64.08,50,64,E,3,Y,5,2,249750,1176750,0,0,1900,1985,2009,Greenwich Village Historic District, ,3.49,3.44,2,6.5,1,1005870012,0,67,983035,205808,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,227.4363399,3170.740777,927000,9,0,10128,10129,16,3600,15.94888878,19.09222221,3.143333435,16.51792359,1.074810629,264.2867775 +10130,MN,525,37,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,174 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C1,2,0, ,"COUGAR ASSOCIATES,",2500,11241,0,11241,0,0,0,0,0,0,2,1,6,24,24,25,100,25,88, ,3,N,5,2,363600,2262600,0,0,1900,1987,0,South Village Historic District, ,4.5,3.44,0,6.5,1,1005250037,0,65,984256,204394,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,255.2233171,2619.133475,1899000,9,0,10129,10130,11,2475,23.62666702,26.63333321,3.006666183,24.07464669,0.978085428,264.8211136 +10131,MN,304,12,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,115 BOWERY,C6-1G, , , , , , , , , ,N,L8,6,0, ,GOLDLE REALTY CORP,2927,10969,10969,0,8002,2967,0,0,0,0,2,1,5,0,5,28.58,103.33,28.33,43,E,0,Y,5,5,263250,1028250,0,0,1988,0,0, , ,3.75,3.44,6,6.5,1,1003040012,0,16,985711,200828,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,269.2898758,2960.51927,765000,0,0,10130,10131,13,2925,34.17111206,36.82777786,2.656665802,34.37547097,0.707920023,446.8811226 +10132,MN,904,31,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,238 EAST 24 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,238 MANSIONS CO.,2540,9520,600,8920,0,600,0,0,0,0,2,1,5,18,20,25.58,98.75,26,72, ,3,N,5,2,150750,1218150,0,0,1950,0,0, , ,3.75,4,0,4,1,1009040031,0,64,989499,208360,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,249.7929722,2485.555893,1067400,11,0,10131,10132,11,2475,21.18099976,21.18099976,0,21.18099976,0,232.9909973 +10133,MN,921,11,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,317 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C5,2,0, ,317 E 14 ST CORP,2400,5382,348,5034,0,348,0,0,0,0,2,1,4,12,13,23.25,103.25,23,56,E,3,N,5,1,90450,948600,0,0,1910,1969,0, , ,2.24,4,2,4,1,1009210011,0,48,988689,206057,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,260.2544563,2470.61312,858150,12,0,10132,10133,12,2700,22.90500069,27.19777679,4.292776108,24.23680576,1.617241272,290.8416691 +10134,MN,610,48,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,140 WEST 10 STREET,R6, , , , , , , , , ,N,C6,2,0,P,138 140 VILLAGE OWNER,4960,19725,3945,15780,0,3945,0,0,0,0,2,2,5,38,40,51.58,96.17,26,84, ,3,Y,5,2,391950,2512800,7080,7080,1900,0,0,Greenwich Village Historic District, ,3.98,2.43,0,4.8,1,1006100048,0,71,984073,206836,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,296.8295043,4930.685441,2120850,8,0,10133,10134,22,4950,18.18777847,19.23222351,1.044445038,18.23525325,0.217556748,401.1755714 +10135,MN,859,84,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,2 EAST 30 STREET,C5-2, , , , , , , , , ,N,C5,2,0, ,"UBA 2 EAST 30, LLC",1728,5719,1000,4719,0,1000,0,0,0,0,2,1,5,8,9,17.5,98.75,18,99,E,3,N,5,2,99550,407862,0,0,1925,1987,0, , ,3.31,10,10,10,1,1008590084,0,74,988120,210890,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,239.1777453,1695.896859,308312,10,0,10134,10135,7,1575,39.96888733,40.70700073,0.738113403,40.60155596,0.258285887,284.2108917 +10136,MN,529,3,102,55.02,2004,2,1,10012,L009,9,15,5700,1,2,2A,648 BROADWAY,M1-5B, , , , , , , , , ,N,O9,5,0, ,FRANMAR INFANTS WEAR,5292,49310,36985,12325,32985,4000,0,0,0,0,2,1,10,1,56,30.42,150,31,150, ,3,Y,5,1,936000,4726350,0,0,1900,2009,0,NoHo Historic District, ,9.32,0,5,6.5,1,1005290003,0,5502,985549,203988,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,382.6880919,5634.573507,3790350,9,0,10135,10136,25,5625,39.93700027,43.81222153,3.875221252,40.09200912,0.759385177,1002.300228 +10137,MN,743,18,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,341 WEST 19 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,341 W 19TH STREET PAR,1397,4136,0,4136,0,0,0,0,0,0,2,1,3,6,6,21.83,64,22,45,E,3,N,5,5,83823,391055,0,0,1900,1975,0, , ,2.96,3,0,3,1,1007430018,0,89,983759,210212,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,174.9977113,1401.012265,307232,7,0,10136,10137,6,1350,15.57888889,17.12111092,1.542222023,15.8359259,0.574752213,95.01555538 +10138,MN,353,23,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,127 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,SHIH CHIEH LIN,2530,8910,1000,7910,0,1000,0,0,0,0,2,1,5,17,19,25.42,100,25.42,70, ,0,N,5,5,119250,416250,0,0,1910,0,0, , ,3.52,4,0,4,1,1003530023,0,18,987813,201407,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,253.7486074,2520.286601,297000,13,0,10137,10138,11,2475,29.00666618,30.39444542,1.387779236,29.13282793,0.39895848,320.4611073 +10139,MN,508,52,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,29 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,D7,4,0, ,29 PRINCE STREET ASSO,2401,11082,1582,9500,0,1582,0,0,0,0,2,1,7,5,6,27.83,86.25,27.83,56.88, ,0,N,5,5,560353,2003688,0,0,2002,0,0, , ,4.62,6.02,6,6.5,1,1005080052,0,43,985739,202727,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,224.4971516,2294.496599,1443340,0,0,10138,10139,11,2475,43.06000137,43.06000137,0,43.06000137,0,473.6600151 +10140,MN,451,4,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,152 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,D6,4,0, ,GRAMERCY PK MEM CHAP,5521,22398,4442,17956,0,4442,0,0,0,0,2,1,6,25,26,44.17,125,44,125, ,3,Y,5,2,405000,2947050,0,0,1920,1984,2011, , ,4.06,4,0,4,1,1004510004,0,40,987943,204999,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,348.6501563,5780.9456,2542050,12,0,10139,10140,26,5850,23.10400009,31.68111038,8.577110291,23.51129062,1.679099174,611.2935562 +10141,MN,594,79,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,289 HUDSON STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,"PONTE EQUITIES, INC.,",2200,4400,4400,0,2200,2200,0,0,0,0,2,1,2,0,2,50,44,50,44, ,2,N,3,2,174150,837450,0,0,1910,0,0, , ,2,6.02,6,6.5,1,1005940079,0,37,982083,203672,12a, ,101N063,10208, ,0, ,1, , ,17V1.1,0,185.3593582,2123.521309,663300,0,1,10140,10141,10,2250,9.168000221,14.68666649,5.518666267,9.719866848,1.65559988,97.19866848 +10142,MN,194,15,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3A,34 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,ELTIBE REALTY CORP,2508,12400,12400,0,2480,2480,0,7440,0,0,2,1,5,0,7,25.08,75,25,75, ,3,Y,4,2,162450,794700,0,0,1915,1965,0,Tribeca East Historic District, ,4.94,6.02,6,6.5,1,1001940015,0,33,983140,201417,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,262.9480732,2768.123305,632250,14,0,10141,10142,11,2475,12.8255558,14.33488846,1.509332657,12.96276786,0.433902631,142.5904465 +10143,MN,415,74,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,125 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,CNE REALTY CORP,2934,12622,2934,9687,0,2934,0,0,0,0,2,1,5,14,16,33.5,87.58,34,86, ,3,N,4,2,270000,2399850,0,0,1900,2001,0, , ,4.3,4,4,4,1,1004150074,0,18,987093,201440,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,249.816314,3034.129301,2129850,13,0,10142,10143,13,2925,37.4659996,38.00111008,0.535110474,37.50716195,0.142590543,487.5931053 +10144,MN,614,7,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,299 WEST 4 STREET,R6, , , , , , , , , ,N,S4,4,0, ,BROWNSTONE DEV ASSOC,1191,3576,1191,2385,0,1191,0,0,0,0,2,1,3,4,5,18.33,65,18,62, ,2,N,3,5,166210,380140,0,0,1910,1987,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1006140007,0,77,983277,207706,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,178.33246,1386.249473,213930,8,0,10143,10144,5,1125,26.80333328,26.81999969,0.016666412,26.80966644,0.007774399,134.0483322 +10145,MN,407,42,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,537 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,DORA COLLAZO PLAZA LT,2581,9725,0,9725,0,0,0,0,0,0,2,1,5,21,21,25,103.25,25,90, ,0,N,5,5,112500,1115550,0,998550,1900,1997,0, , ,3.77,4,2,4,1,1004070042,0,34,990051,204952,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,260.4526914,2630.67387,1003050,12,1,10144,10145,13,2925,11.62699986,11.63722229,0.010222435,11.6277862,0.002723966,151.1612206 +10146,MN,802,29,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,117 WEST 26 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,"THE WEST PARAMONT, L",4624,22770,18630,4140,14490,4140,0,0,0,0,2,1,6,2,12,46.83,98.75,47,99,E,2,N,5,2,387900,1735650,0,0,1926,1989,0, , ,4.92,0,10,10,1,1008020029,0,95,986446,210818,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,301.4496419,4998.146687,1347750,2,0,10145,10146,22,4950,38.26699829,40.34000015,2.073001862,40.11622724,0.515180465,882.5569992 +10147,MN,634,36,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,323 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0,P,323-325-327 WEST 11TH,8182,31206,3200,28006,0,1067,0,0,0,0,2,3,5,38,44,85.83,95.33,28.67,81.75, ,0,Y,5,2,499500,3382200,30263,30263,1900,0,0,Greenwich Village Historic District, ,3.81,2.43,0,4.8,1,1006340036,0,75,982174,207362,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,368.523612,8444.904124,2882700,9,0,10146,10147,39,8775,14.98200035,19.35333443,4.371334076,16.19408238,0.867979866,631.5692129 +10148,MN,606,27,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2K,64 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,S2,4,0, ,BESSER WALTER,1052,2549,840,1709,0,840,0,0,0,0,2,1,3,2,3,21.33,50,21.33,40, ,3,Y,5,2,79451,107144,0,0,1910,0,0,Greenwich Village Historic District, ,2.42,3.44,2,6.5,1,1006060027,0,71,984081,207468,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,149.3012061,1061.990607,27693,8,0,10147,10148,4,900,22.88899994,22.88899994,0,22.88899994,0,91.55599976 +10149,MN,555,1,102,57,1001,2,2,10003,E033,9,15,5700,1,2,3A,772 BROADWAY,C6-2, , , , , , , , , ,N,D4,3,0,P,STEWART TENANTS CORP,54617,651391,18000,633391,0,18000,0,0,0,0,2,1,21,360,372,184,328.42,184,246, ,1,N,1,1,4770000,67804650,1755290,1755290,1960,0,0, , ,11.93,6.02,6,6.5,1,1005550001,0,57,986716,205669,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,976.7264837,55498.83345,63034600,12,0,10148,10149,247,55575,38.89333344,42.1511116,3.257778168,39.4230635,0.816800139,9737.496685 +10150,MN,76,1,101,15.02,2001,2,1,10038,E006,1,15,7700,1,1,1A,64 FULTON STREET,C6-4, , , , , ,LM, , , ,N,O6,5,0,P,COUNTRY CLUB RECOVERY,3663,40564,38543,2021,31533,7010,0,0,0,0,2,1,11,3,51,59,79.92,59,80, ,2,Y,3,2,873000,3215700,0,0,1900,1990,0, , ,11.07,10,10,10,1,1000760001,0,1502,982766,197486,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,256.962114,3889.892744,2342700,4,0,10149,10150,16,3600,19.11599922,21.98555565,2.869556427,19.41226316,0.709424738,310.5962105 +10151,MN,529,52,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,21 BLEECKER STREET,M1-5B, , , , , , , , , ,N,C5,2,0, ,21-23 BLEEKER STREET,2640,6515,0,6515,0,0,0,0,0,0,2,2,4,4,5,40,67.5,40,61, ,3,Y,5,5,149525,250737,0,0,1900,0,0,Noho East Historic District, ,2.47,0,5,6.5,1,1005290052,0,5502,986113,203664,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,219.587977,2797.201261,101212,9,0,10150,10151,14,3150,41.23199844,42.28177643,1.049777985,41.38096673,0.364905885,579.3335342 +10152,MN,573,6,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,434 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,O5,5,0,P,HARRAN HOLDING CORP,5104,28619,28619,0,23719,4900,0,0,0,0,2,1,6,0,10,65.08,78.08,65.08,78, ,3,N,3,2,1233000,4454100,0,0,1915,0,0,Greenwich Village Historic District, ,5.61,3.44,3.4,6.5,1,1005730006,0,63,984654,206884,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,292.6166516,5293.173913,3221100,8,0,10151,10152,23,5175,18.98099899,20.95222282,1.971223831,19.08785414,0.409651873,439.0206451 +10153,MN,452,21,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,326 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,GEMROSON REALTY CORP,2369,10980,0,10980,0,0,0,0,0,0,2,1,6,15,15,25,94.75,25,80, ,2,N,5,2,231750,1387800,0,0,1900,1988,0, , ,4.63,4,0,4,1,1004520021,0,40,988372,205095,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,240.7070776,2335.780771,1156050,12,0,10152,10153,9,2025,22.86222267,26.35333443,3.491111755,23.25012398,1.097150576,209.2511158 +10154,MN,590,8,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,271 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S1,4,0,P,"271 BLEECKER, LLC",1000,2294,803,1491,0,803,0,0,0,0,2,1,3,1,2,12.75,80.08,12.75,42,E,3,Y,5,5,45364,110354,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.29,3.44,0,6.5,1,1005900008,0,67,983437,205796,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,195.4085106,1093.950803,64990,9,0,10153,10154,5,1125,17.79000092,18.39888954,0.608888626,17.91177864,0.24355545,89.5588932 +10155,MN,613,53,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,192 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K1,5,0,P,192 SEVENTH AVENUE SO,1875,1875,1875,0,0,1875,0,0,0,0,2,1,1,0,2,87.92,51.58,87.92,51.58, ,3,Y,3,2,486000,1002150,0,0,1915,2015,0,Greenwich Village Historic District, ,1,3.44,2,6.5,1,1006130053,0,71,983836,207547,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,230.0406656,2235.280781,516150,8,0,10154,10155,10,2250,24.94000053,26.06222153,1.122220993,25.20018902,0.402430633,252.0018902 +10156,MN,485,3,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,62 GREENE STREET,M1-5A, , , , , , , , , ,N,D2,3,0,P,62 GREENE ST OWNERS C,4800,23319,6169,17150,0,4500,0,0,0,1669,2,1,5,4,5,48,100,48,92, ,3,N,5,5,215645,1781227,0,0,1872,2008,2012,SoHo-Cast Iron Historic District, ,4.86,0,5,6.5,1,1004850003,0,49,984032,202660,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,304.5385918,5049.400429,1565580,0,0,10155,10156,21,4725,17.71444511,17.71444511,0,17.71444511,0,372.0033474 +10157,MN,545,53,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,392 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,L8,6,0,P,"SAND ASSOCIATES, L.P.",18060,93048,93048,0,62366,24000,0,6682,0,0,2,3,5,0,13,122.75,140,122.75,140, ,3,Y,3,2,1435500,15671250,0,0,1930,1989,0,NoHo Historic District, ,5.15,0,5,6.5,1,1005450053,0,57,986097,204601,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,611.6785898,19082.49767,14235800,9,0,10156,10157,85,19125,39.52700043,40.17399979,0.646999359,39.53461218,0.069762907,3360.442036 +10158,MN,740,18,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,331 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WILLIAM GOTTLIEB,2300,8060,0,8060,0,0,0,0,0,0,2,1,5,16,16,25,92,25,76, ,3,N,5,2,118800,917100,0,0,1900,0,0, , ,3.5,4,0,4,1,1007400018,0,83,983493,209537,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,235.6454905,2239.349994,798300,7,0,10157,10158,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +10159,MN,448,31,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,105 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,JEISON REALTY CORP,2208,6311,1500,4811,0,1500,0,0,0,0,2,1,5,3,4,22.08,100,22,87,E,3,N,5,5,67112,111016,0,0,1910,0,2011, , ,2.86,4,0,4,1,1004480031,0,38,988049,204070,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,248.1848859,2147.924225,43904,1,0,10158,10159,10,2250,27.1590004,27.64111137,0.482110977,27.20721149,0.144633293,272.0721149 +10160,MN,530,9,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,3 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,3 GREAT JONES ST TENA,2600,13000,3300,9700,0,3300,0,0,0,0,2,1,5,5,7,26,100,26,98, ,3,N,3,2,84977,311728,2360,2360,1900,1989,0,NoHo Historic District, ,5,0,5,6.5,1,1005300009,0,5502,985831,204264,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,260.6975894,2723.782811,226751,9,0,10159,10160,12,2700,40.02500153,40.91999817,0.894996643,40.19263999,0.301697643,482.3116798 +10161,MN,163,6,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,20 PELL STREET,C6-1, , , , , , , , , ,N,K4,4,0,P,HONG KONG SEAFOOD KIN,3187,26719,15268,11451,7634,6374,0,0,0,1260,2,1,6,11,20,48.92,82,49,82, ,3,Y,5,2,220050,905400,0,0,1910,1984,0, , ,8.38,3.44,6,6.5,1,1001630006,0,29,984790,199761,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,255.749927,3802.676191,685350,14,0,10160,10161,17,3825,33.5909996,33.5909996,0,33.5909996,0,571.0469933 +10162,MN,448,53,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,303 EAST 6 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C7,4,0, ,QUAD REALTY LLC,1967,7408,1200,6208,0,1200,0,0,0,0,2,1,4,8,9,38,51.75,38,50, ,3,N,5,2,80821,359252,0,0,1910,1987,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004480053,0,38,987586,204261,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,187.6111748,2136.121533,278431,1,0,10161,10162,9,2025,27.1590004,34.75777817,7.598777771,28.00330904,2.388065462,252.0297813 +10163,MN,398,61,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,156 EAST 2 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,C7,4,0,P,156 EAST 2ND STREET,3180,14097,2000,12097,0,2000,0,0,0,0,2,1,6,26,28,40,79.5,40,64, ,3,N,5,2,405000,1750500,0,0,1919,0,0, , ,4.43,4,0,4,1,1003980061,0,3002,988352,202675,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,248.0362866,3404.861609,1345500,1,0,10162,10163,15,3375,19.43000031,22.61888886,3.18888855,19.64259288,0.79544856,294.6388931 +10164,MN,607,7502,102,71,3000,2,3,10011,Q018,6,15,6100,3,2, ,130 WEST 12 STREET,R6, , , , , , , , , ,N,R4,3,0, , ,11616,83082,0,83082,0,0,0,0,0,0,2,1,13,42,42,0.26,0,112.5,83.25, ,0,N,0,5,1934096,9687146,0,0,1941,0,0, , ,7.15,2.43,0,4.8,1,1006077502,2323,71,984539,207516,12c, ,103 027,10209, ,1006070027,7/6/2012,1, , ,17V1.1,7,432.0532521,11653.87444,7753050,8,0,10163,10164,52,11700,21.80333328,26.81222343,5.008890152,22.28164522,1.333059158,1158.645552 +10165,MN,463,12,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,6 ST MARKS PLACE,R8B, , , , , , , , , ,N,K2,5,0,P,KUNBING INC.,3120,15600,15600,0,0,15600,0,0,0,0,2,1,5,0,5,26,120,26,110,E,0,N,5,5,450000,2650950,0,0,1900,1995,2009, , ,5,4,0,4,1,1004630012,0,38,987145,204911,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,295.1585559,3122.673703,2200950,12,0,10164,10165,15,3375,34.15777969,37.90044403,3.742664337,34.65225347,1.260727245,519.783802 +10166,MN,470,6,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,162 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,YONGON WIN REALTY COR,2660,10475,1675,8800,0,1675,0,0,0,0,2,1,5,16,18,24.92,107.75,24,83, ,3,Y,5,2,135000,554850,0,0,1900,1987,0, , ,3.94,6.02,6,6.5,1,1004700006,0,41,985368,201450,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,277.0807559,2817.609109,419850,0,0,10165,10166,13,2925,28.80888939,34.97777939,6.168889999,30.24153885,2.53882425,393.1400051 +10167,MN,939,52,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,314 EAST 34 STREET,C1-9A, , , , , , , , , ,N,O5,5,0, ,BRUZZESE 314 FAMILY L,2098,13202,13202,0,11316,1886,0,0,0,0,2,1,6,0,2,21.25,98.75,21,86, ,3,N,5,2,380250,1714050,0,0,1920,2004,0, , ,6.29,10,2,10,1,1009390052,0,70,991118,210406,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,244.1754293,2106.554667,1333800,10,1,10166,10167,9,2025,10.03999996,14.88111115,4.841111183,11.06814808,1.926143603,99.61333275 +10168,MN,875,73,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,13 EAST 20 STREET,R7B,R8B, , , , , , , ,LH-1,Y,D4,3,0, ,13 GRAMERCY PK SOUTH,2975,10036,0,10036,0,0,0,0,0,0,2,1,5,10,10,26.67,114,27,88,E,3,N,5,1,236918,848261,0,0,1910,1985,0,Gramercy Park Historic District, ,3.37,3,0,3,1,1008750073,0,50,987869,208049,12c,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,294.1923898,3250.574293,611343,5,0,10167,10168,15,3375,30.81999969,34.78444672,3.964447021,31.26051089,1.016881585,468.9076633 +10169,MN,427,7503,103,36.01,3001,1,1,10002,L020,5,14,6500,2,3, ,263 BOWERY,C6-1,R8X, , ,C2-5, , , , , ,Y,RM,4,0, , ,2450,13065,6863,6202,0,6863,0,0,0,0,2,1,7,4,7,24.3,102,24.31,102.14, ,0,N,0,5,197388,587305,0,187083,2009,0,0, , ,5.33,3.44,6,6.5,1,1004277503,2236,3601,986332,202809,12c, ,102 001,10204, ,1004270010,3/25/2011,1, , ,17V1.1,7,264.4240775,2653.187713,389917,9,0,10168,10169,12,2700,40.95600128,40.95600128,0,40.95600128,0,491.4720154 +10170,MN,301,11,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,93 CANAL STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,99 CANAL REALTY INC.,1250,2500,2500,0,1250,1250,0,0,0,0,2,1,2,0,1,25.23,50.17,25.23,50, ,3,Y,5,0,72000,243000,0,0,1900,0,0, , ,2,3.44,6,6.5,1,1003010011,0,16,986023,199987,12d,Y,101N050,10107, ,1003010001,5/14/2012,1, , ,17V1.1,0,155.5274425,1313.745437,171000,13,0,10169,10170,6,1350,41.60800171,41.60800171,0,41.60800171,0,249.6480103 +10171,MN,700,47,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,522 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0, ,W29 HIGHLINE OWNERS L,14813,100811,5467,95344,0,906,3028,1533,0,0,2,3,11,31,32,150,98.75,150,98.75, ,3,N,5,0,1666350,11359350,0,0,2014,0,0, , ,6.81,7.52,6,10,1,1007000047,0,99,983421,213198,8b, ,105S015,10301,E-142,1007000047,4/29/2013,1, , ,17V1.1,0,504.0509928,15286.69157,9693000,6,1,10170,10171,68,15300,11.49300003,13.02111149,1.528111458,11.58441668,0.303084572,787.7403345 +10172,MN,751,1,104,97,3000,2,3,10001,L024,10,15,5500,1,4,2A,270 9 AVENUE,R8,C4-5, , , , , , , , ,Y,D4,3,0,P,MUTUAL REDEVELOPMENT,393100,1489943,281603,1208340,0,56026,179412,0,0,46165,2,5,22,1510,1521,346,800,258,129, ,1,Y,1,5,18360000,104961150,18360000,104961150,1960,2000,0, , ,3.79,6.02,0,6.5,1,1007510001,0,97,984813,211962,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,2648.477198,394429.9307,86601200,2,0,10171,10172,1753,394425,22.56888771,30.7132225,8.144334793,26.59452161,1.880490301,46620.19638 +10173,MN,564,54,102,61,3003,2,2,10003,L003,9,15,5700,1,2,3A,120 4 AVENUE,C6-1, , , , , , , , , ,N,D4,3,0, ,77 E 12TH OWNERS INC,9399,135315,10250,125065,1500,8750,0,0,0,0,2,1,20,175,182,117.92,92,106,92,E,2,Y,3,2,765000,13555800,185226,185226,1963,0,0, , ,14.4,3.44,6,6.5,1,1005640054,0,61,986944,206364,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,408.8205802,10089.86053,12790800,12,0,10172,10173,44,9900,42.18444443,42.91444397,0.729999542,42.20103533,0.108793798,1856.845554 +10174,MN,399,8,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,52 AVENUE A,R7A,R8B, , ,C2-5, , , , , ,Y,K1,5,0,P,40-16 NATIONAL ASSOCI,11540,11500,11500,0,0,11500,0,0,0,0,2,1,1,0,2,72.08,145,72,145,E,2,Y,3,2,517500,1646100,0,0,1969,1988,0, , ,1,4,0,4,1,1003990008,0,32,988520,203027,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,493.5739103,12333.69879,1128600,1,0,10173,10174,54,12150,18.04222298,23.01444435,4.972221375,18.49889367,1.306651492,998.940258 +10175,MN,769,19,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,235 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,FELIX BERNARDO D/B/A,2362,9375,1750,7625,0,1750,0,0,0,0,2,1,5,17,19,25,94.17,25,73, ,3,Y,5,2,90900,1244250,0,0,1901,0,0, , ,3.97,6.02,6,6.5,1,1007690019,0,87,984592,209768,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,242.885037,2442.998116,1153350,7,0,10174,10175,11,2475,21.88888931,23.28066635,1.391777039,22.0154145,0.400107767,242.1695595 +10176,MN,871,47,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,162 3 AVENUE,C1-9A, , , , , , , , , ,N,C7,4,0, ,LDAB ASSOCIATES LLC,2550,9500,2000,7500,0,2000,0,0,0,0,2,1,4,15,16,25.5,100,25,100, ,3,N,3,2,315000,1693800,0,0,1900,1967,0, , ,3.73,10,2,10,1,1008710047,0,50,987964,206932,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,263.6404293,2923.834171,1378800,5,0,10175,10176,12,2700,33.78900146,34.20633316,0.417331696,33.90952841,0.156831087,406.914341 +10177,MN,791,69,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,144 WEST 16 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,"WAKEFIELD TOWERS, INC",2151,5104,0,5104,0,0,0,0,0,0,2,1,4,10,10,20.83,103.25,21,53, ,3,N,5,1,62380,291397,0,0,1901,0,0, , ,2.37,6,0,6,1,1007910069,0,81,984842,208614,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,253.2204262,2153.800181,229017,7,0,10176,10177,10,2250,27.87888908,29.61333275,1.734443665,28.2251112,0.56365679,282.251112 +10178,MN,625,20,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,327 WEST 12 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"M.R. KOREN HOLDINGS,",924,3024,0,3024,0,0,0,0,0,0,2,1,3,2,2,21,46.42,21,36, ,3,Y,5,2,55901,150970,0,0,1899,2008,0,Greenwich Village Historic District, ,3.27,2.43,0,4.8,1,1006250020,0,79,982509,208039,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,142.7865935,1065.080677,95069,8,0,10177,10178,5,1125,15.4800005,15.4800005,0,15.4800005,0,77.40000248 +10179,MN,804,69,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,156 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,AJA FAMILY LLC,2271,7410,6210,1200,3956,2254,0,0,0,0,2,1,4,1,4,23,98.75,23,98,E,3,N,5,2,364500,834300,0,0,1915,1985,2009, , ,3.26,0,10,10,1,1008040069,0,95,986360,211569,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,245.9529966,2151.776895,469800,6,0,10178,10179,10,2250,33.49399948,33.49399948,0,33.49399948,0,334.9399948 +10180,MN,344,66,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,91 PITT STREET,R7A, , , , , , , , , ,N,D9,3,0,P,PITT ST HSG DEVEL FDC,2500,11319,0,11319,0,0,0,0,0,0,2,1,6,32,32,25,100,25,80, ,3,N,5,0,225000,1003050,225000,1003050,1920,1993,0, , ,4.53,4,0,4,1,1003440066,0,2201,989076,201158,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,252.6418926,2507.16723,778050,1,0,10179,10180,12,2700,17.05666733,18.11811066,1.061443329,17.14512094,0.293367438,205.7414513 +10181,MN,550,29,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,16 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,H8,8,0, ,NEW YORK UNIVERSITY,3000,6850,1175,0,0,1175,0,0,0,0,2,2,6,11,12,25,120,25,78, ,3,N,5,5,207000,942300,173880,609274,1930,0,0,Greenwich Village Historic District, ,2.28,6.02,2,6.5,1,1005500029,0,59,985492,205827,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,297.5934374,3076.503747,735300,8,0,10180,10181,13,2925,26.29888916,29.11333275,2.814443588,26.57659853,0.748081892,345.4957809 +10182,MN,896,9,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,209 EAST 14 STREET,C1-6A, , , , , , , , , ,N,HS,5,0, ,BEST INNS USA LLC,2994,11855,2500,0,0,2500,0,0,0,0,2,1,5,0,2,29,103.25,29,88, ,3,N,5,2,675000,998550,0,0,1900,2000,0, , ,3.96,4,2,4,1,1008960009,0,48,988061,206405,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,270.4945568,3038.166856,323550,12,0,10181,10182,13,2925,29.72555542,30.35177803,0.62622261,29.89425645,0.137384757,388.6253338 +10183,MN,163,33,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,28 BOWERY,C6-1, , , , , , , , , ,N,C7,4,0, ,LEE YOUNG T & SON RLT,3462,13600,3150,10450,0,3150,0,0,0,0,2,1,4,11,16,42.58,75,41,72, ,3,Y,3,2,234000,967950,0,0,1915,1985,0, , ,3.93,3.44,6,6.5,1,1001630033,0,29,985032,199780,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,251.7784307,3651.170717,733950,14,0,10182,10183,16,3600,33.5909996,41.43777847,7.84677887,34.54683995,2.166627437,552.7494392 +10184,MN,399,47,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,181 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,179 EAST THIRD STREET,7460,19600,1200,18400,0,1200,0,0,0,0,2,1,6,32,35,49.5,96.17,50,82, ,3,N,5,2,270000,2349450,0,0,1900,1987,0, , ,2.63,4,0,4,1,1003990047,0,32,988722,202792,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,296.8960011,4893.659751,2079450,1,0,10183,10184,22,4950,18.04222298,22.50777817,4.465555191,18.30629869,0.95854114,402.7385712 +10185,MN,472,28,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,154 GRAND STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,BSD 26 MAEEM LLC,5943,35287,35287,0,29887,5400,0,0,0,0,2,1,6,0,6,33.08,174.83,33,170, ,3,Y,3,2,810000,7347150,0,0,1900,1985,2011,SoHo-Cast Iron Historic District Extensi, ,5.94,0,5,6.5,1,1004720028,0,45,984623,201679,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,432.1430853,6298.725054,6537150,0,0,10184,10185,28,6300,25.62377739,28.87155533,3.247777939,28.37880107,0.93637034,794.6064301 +10186,MN,832,22,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,1218 BROADWAY,M1-6, , , , , , , , , ,N,O6,5,0, ,NEW GENERATION REALTY,9050,75547,75547,0,67147,8400,0,0,0,0,2,1,9,0,58,105.75,111,97,111, ,3,Y,3,2,3735000,10066500,0,0,1931,0,0, , ,8.35,0,10,10,1,1008320022,0,76,987534,211397,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,398.8968706,9583.654178,6331500,10,0,10185,10186,44,9900,43.61000061,44.81888962,1.208889008,43.63747536,0.180163985,1920.048916 +10187,MN,485,37,102,49,1008,2,1,10013,E055,1,15,6800,1,2,1A,460 BROOME STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,460-26 BROOME STREET,2500,10630,10630,0,8504,2126,0,0,0,0,2,2,5,0,1,25,100,25,94, ,3,N,5,2,562500,2040300,0,0,1920,1986,0,SoHo-Cast Iron Historic District, ,4.25,0,5,6.5,1,1004850037,0,49,984018,202518,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,256.5650081,2584.200916,1477800,0,0,10186,10187,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +10188,MN,235,7501,102,41,5002,2,1,10013,E055,5,15,6800,1,2, ,136 BAXTER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,4781,28598,3557,25041,0,3557,0,0,0,0,2,1,7,12,14,49.92,100.48,50,104, ,3,Y,0,5,405000,3876300,0,0,1915,2006,2006, , ,5.98,0,5,6.5,1,1002357501,1936,41,984586,201109,12c, ,11N 048,10105, ,1002350024,11/5/2008,1, , ,17V1.1,7,298.9931304,4838.139219,3471300,0,0,10187,10188,21,4725,18.99699974,18.99699974,0,18.99699974,0,398.9369946 +10189,MN,559,35,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,118 3 AVENUE,C1-9A, , , , , , , , , ,N,K1,5,0, ,118 THIRD AVENUE LLC,1297,1300,1300,0,0,1300,0,0,0,0,2,1,1,0,1,17.25,75,17.25,75,E,3,N,5,2,135000,703350,0,0,1920,0,0, , ,1,10,2,10,1,1005590035,0,42,987672,206378,12c, ,102 025,10207,E-68,0, ,1, , ,17V1.1,0,188.0590631,1282.003226,568350,12,0,10188,10189,6,1350,36.68999863,36.68999863,0,36.68999863,0,220.1399918 +10190,MN,772,30,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,229 WEST 22 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,CHELSEA HOTEL OWNER L,1588,3600,0,3600,0,0,0,0,0,0,2,1,4,8,8,16.08,98.75,16,56, ,3,N,5,2,29264,193471,0,0,1910,0,0, , ,2.27,4,0,4,1,1007720030,0,91,985109,210335,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,227.5762881,1456.611821,164207,2,0,10189,10190,6,1350,22.16600037,27.79555511,5.629554749,24.27422237,2.403735624,145.6453342 +10191,MN,757,1,104,103,1000,2,3,10001,L021,14,15,5500,1,4,2A,420 9 AVENUE,C6-4, , , , , ,HY, , , ,N,K4,4,0,P,CHARLIL 34TH LLC,8797,41006,26391,14615,0,26391,0,0,0,0,2,1,4,12,13,197.5,98,196,49, ,2,Y,3,2,1309500,5033250,0,0,1929,1968,1996, , ,4.66,10,10,10,1,1007570001,0,103,985267,213594,8d, ,105S020,10304, ,0, ,1, , ,17V1.1,0,535.3272444,9399.305654,3723750,6,0,10190,10191,42,9450,40.9090004,47.3488884,6.439888,41.52619625,1.750384947,1744.100243 +10192,MN,526,62,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,174 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,"JDLC, LLC",2156,5265,1212,4053,0,1212,0,0,0,0,2,1,5,4,5,22,98,22,44, ,3,N,5,5,140337,293948,0,0,1900,1986,0,South Village Historic District, ,2.44,3.44,0,6.5,1,1005260062,0,65,984018,204777,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,249.889619,2244.481302,153611,9,0,10191,10192,10,2250,23.22699928,25.31111145,2.084112167,23.77389946,0.851400084,237.7389946 +10193,MN,606,75,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,105 WEST 10 STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,SOLAN HOLDING CORP 2,505,1257,352,905,0,352,0,0,0,0,2,1,3,2,3,17,31.83,17,27, ,3,Y,5,5,23096,69672,0,0,1910,0,0,Greenwich Village Historic District, ,2.49,3.44,2,6.5,1,1006060075,0,71,984519,207030,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,96.4287905,533.1687295,46576,8,0,10192,10193,2,450,20.06222153,20.06222153,0,20.06222153,0,40.12444305 +10194,MN,588,81,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,17 GROVE STREET,R6, , , , , , , , , ,N,A4,1,0, ,"TAFFNER BUTLER, KAREN",800,2400,0,2400,0,0,0,0,0,0,2,1,3,1,1,25,32.17,25,32, ,1,Y,3,2,37139,133598,0,0,1915,2009,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1005880081,0,73,982747,206175,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,124.4822236,951.3850131,96459,9,0,10193,10194,4,900,20.90555573,20.90555573,0,20.90555573,0,83.6222229 +10195,MN,245,1,103,2.01,2001,1,1,10002,E015,7,14,8000,1,3,1B,286 SOUTH STREET,C6-4, , , , , , , , , ,N,D6,4,0,O,NYC CITY HSG AUTRHORI,31654,277260,2000,275260,0,2000,0,0,0,0,2,1,27,250,252,162.08,197.17,161,160, ,1,Y,3,2,1057500,21797550,1057500,21797550,1975,1989,0, , ,8.76,10,10,10,1,1002450001,0,201,988072,198270,12d, ,101N057,10106, ,0, ,1,1,1,17V1.1,0,738.1181048,33793.04966,20740100,16,1,10194,10195,152,34200,8.712222099,18.12722206,9.414999962,11.97317741,3.622112031,1819.922966 +10196,MN,489,28,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,75 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,THOMPSON DEVELOPMENTC,2782,13416,1100,12316,0,1100,0,0,0,0,2,1,6,22,23,28.33,100,28,83, ,3,Y,5,2,233550,2050650,0,0,1900,2016,0,Sullivan-Thompson Historic District, ,4.82,3.44,0,6.5,1,1004890028,0,47,983387,203287,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,262.4238178,2614.434263,1817100,0,1,10195,10196,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +10197,MN,543,10,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,136 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,K2,5,0, ,GOLDEN ARCH REALTY CO,2000,5141,5141,0,0,5141,0,0,0,0,2,1,2,0,1,40,50,40,50, ,2,N,5,2,720000,1494900,0,0,1974,0,0, , ,2.57,3.44,0,6.5,1,1005430010,0,65,983941,205510,12a,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,178.2768597,1954.89908,774900,9,0,10196,10197,9,2025,19.06100082,20.82999992,1.7689991,19.43680318,0.617077218,174.9312286 +10198,MN,445,4,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,60 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,D9,3,0, ,60 SECOND AVE CORP,4935,23634,4715,18919,0,4715,0,0,0,0,2,1,7,24,26,41.08,125,41,113, ,3,Y,5,1,183600,994950,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.79,4,0,4,1,1004450004,0,38,987210,203679,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,338.5111637,4984.429188,811350,1,0,10197,10198,22,4950,29.97444344,35.6866684,5.71222496,30.42737302,1.449102298,669.4022064 +10199,MN,614,44,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,251 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,HUNT LEE,1400,2488,0,2488,0,0,0,0,0,0,2,1,3,1,1,25,56,25,32, ,3,N,5,2,29404,151221,0,0,1899,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006140044,0,77,983317,207553,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,167.4998269,1545.716498,121817,8,0,10198,10199,6,1350,26.80333328,26.80333328,0,26.80333328,0,160.8199997 +10200,MN,149,6,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,85 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0,P,FOREST EQUITIES INC,3762,19000,3800,15200,0,3800,0,0,0,0,2,1,5,8,10,25,150.5,25,150, ,3,N,4,2,225000,2941650,0,0,1920,1980,0,Tribeca South Historic District, ,5.05,7.52,6,7.5,1,1001490006,0,21,982325,199703,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,367.1959974,4152.255715,2716650,14,0,10199,10200,19,4275,29.82299995,31.17000008,1.347000122,29.94976024,0.372458412,569.0454445 +10201,MN,447,45,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,327 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,327 EAST 5TH STREET R,2425,7000,0,7000,0,0,0,0,0,0,2,1,5,12,12,25,97,25,56, ,3,N,5,1,186300,806850,0,0,1900,1987,0, , ,2.89,4,0,4,1,1004470045,0,38,987678,203946,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,252.5911567,2580.823004,620550,1,0,10200,10201,11,2475,27.01499939,30.45444489,3.439445496,28.53762592,1.451245013,313.9138851 +10202,MN,861,49,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,38 EAST 32 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,38E32 STREET LLC,6912,88000,88000,0,74000,14000,0,0,0,0,2,1,12,0,20,70,98.75,70,98,E,3,N,5,2,2250000,4995900,0,0,1912,0,0, , ,12.73,10,10,10,1,1008610049,0,74,988917,211038,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,348.8797027,7328.076196,2745900,10,0,10201,10202,32,7200,37.62444687,42.27111053,4.646663666,38.02809942,1.145042798,1216.899181 +10203,MN,622,20,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,392 BLEECKER STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,CR32 PROPERTIES,954,2290,760,1530,0,760,0,0,0,0,2,1,3,2,3,19.08,50,19.08,40, ,3,N,5,5,30959,102513,0,0,1899,0,0,Greenwich Village Historic District, ,2.4,3.44,2,6.5,1,1006220020,0,73,982815,207248,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,144.1077483,1048.147732,71554,8,0,10202,10203,5,1125,22.42000008,22.42000008,0,22.42000008,0,112.1000004 +10204,MN,405,7503,103,34,2000,1,2,10009,L011,9,14,6200,4,3, ,511 EAST 11 STREET,R8B, , , , , , , , , ,N,R2,2,0, ,DEL ESTE VILLAGE II C,7744,14376,0,14376,0,0,0,0,0,0,2,3,4,12,12,75,103.25,0,0, ,0,N,0,5,348750,1774800,14160,441966,1999,0,0, , ,1.86,4,0,4,1,1004057503,1104,34,989531,204631,12c, ,102 029,10203, ,1004050054,3/24/2000,1, , ,17V1.1,7,362.049605,7951.749063,1426050,12,0,10203,10204,36,8100,13.81444454,17.49444389,3.679999352,14.85322221,1.364314529,534.7159996 +10205,MN,437,43,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,419 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,LOZYNSKYJ ASKOLD S,2306,5323,0,5323,0,0,0,0,0,0,2,1,4,8,8,25,92.25,25,50, ,3,N,5,1,42540,169417,0,0,1900,0,0, , ,2.31,4,0,4,1,1004370043,0,34,988751,204490,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,241.4244107,2392.805773,126877,12,0,10204,10205,10,2250,17.51666641,20.46222305,2.945556641,18.33822212,1.258050975,183.3822212 +10206,MN,476,7502,102,47,2003,2,1,10013,L008,1,15,6800,1,2, ,350 WEST BROADWAY,M1-5A, , , , , , , , , ,N,RM,4,0, , ,8223,36304,11114,25190,0,11114,0,0,0,0,2,1,10,7,8,0.18,0,120,60, ,0,N,0,5,866035,8310691,0,4270700,2008,0,0, , ,4.41,0,5,6.5,1,1004767502,2294,47,983226,202621,12a, ,101N069,10206, ,1004760075,2/9/2012,1,1,1,17V1.1,7,381.2904444,8454.754169,7444660,0,1,10205,10206,37,8325,9.686666489,9.686666489,0,9.686666489,0,358.4066601 +10207,MN,552,61,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,31 WASHINGTON SQUARE W,R7-2, , , , , , , , , ,N,O8,5,0, ,WASHINGTON SQUARE PRO,2867,16420,15820,600,15820,0,0,0,0,0,2,1,6,1,10,26,110.25,26,110,E,3,Y,5,2,435600,1719900,0,0,1969,1968,0,Greenwich Village Historic District, ,5.73,3.44,0,6.5,1,1005520061,0,65,984477,205944,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,277.3527063,2970.48099,1284300,9,0,10206,10207,13,2925,17.50333405,17.50333405,0,17.50333405,0,227.5433426 +10208,MN,414,21,103,18,7000,2,1,10002,L006,5,14,7400,1,3,2B,99 ALLEN STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,DMZ ALLEN LLC,2210,7800,1560,6240,0,1560,0,0,0,0,2,1,5,16,18,25,88.42,25,61, ,3,N,5,2,297900,1656000,0,0,1900,2013,0, , ,3.53,6.02,6,6.5,1,1004140021,0,18,986754,201193,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,229.7364575,2209.987272,1358100,13,0,10207,10208,9,2025,37.8544426,37.8544426,0,37.8544426,0,340.6899834 +10209,MN,878,45,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,160 EAST 23 STREET,C2-8A, , , , , , , , , ,N,D6,4,0, ,160 REALTY DEVELOPMEN,2469,22760,2070,20690,0,2070,0,0,0,0,2,1,11,18,19,25,98.75,25,82.76, ,3,N,5,2,495000,2957850,0,0,2010,2009,0, , ,9.22,10,2,10,1,1008780045,0,68,988755,208431,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,257.4635774,2624.279256,2462850,11,0,10208,10209,11,2475,22.27111053,26.75,4.478889465,23.79670681,1.724064901,261.7637749 +10210,MN,850,7501,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,23 EAST 21 STREET,M1-5M, , , , , , , , , ,N,RB,5,0,P,GRAMERCY CONDOMINIUM,4350,33120,33120,0,33120,0,0,0,0,0,2,1,11,0,11,0.09,0,0,0, ,0,N,5,5,826198,3174750,73924,331430,1904,1983,0,Ladies' Mile Historic District, ,7.61,0,5,6.5,1,1008507501,113,56,987370,208787,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,7,295.5669411,4564.101103,2348550,7,0,10209,10210,19,4275,35.59999847,35.59999847,0,35.59999847,0,676.399971 +10211,MN,97,7502,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1, ,130 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,R4,3,0, ,THE BEEKMAN LANDING C,5990,24668,0,21450,0,0,0,0,0,0,2,1,6,18,18,66.58,72.83,0,0, ,0,Y,0,5,386999,1557001,11800,11800,1900,0,0,South Street Seaport Historic District, ,4.12,6.02,6,6.5,1,1000977502,1218,1501,983468,197095,12b, ,11S 023,10103, ,1000970046,3/4/2002,1,1,1,17V1.1,7,326.941902,5177.590179,1170000,4,1,10210,10211,25,5625,5.993332863,8.393333435,2.400000572,6.500221863,0.833308435,162.5055466 +10212,MN,591,60,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,59 GROVE STREET,C4-5, , , , , , , , , ,N,S2,4,0, ,T PAINE 59 HOUSE CORP,868,2091,899,1192,0,899,0,0,0,0,2,1,3,2,3,20.17,41.17,20.17,30, ,3,Y,5,5,34051,87091,0,0,1910,0,0,Greenwich Village Historic District, ,2.41,3.44,3.4,6.5,1,1005910060,0,73,983308,206414,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,130.1136012,970.7676364,53040,9,0,10211,10212,5,1125,23.46111107,23.46111107,0,23.46111107,0,117.3055553 +10213,MN,274,24,103,8,6013,2,1,10002,E009,5,14,7800,1,3,1A,154 MADISON STREET,C8-4, , , , , , , , , ,N,H3,5,0, ,USA SENWELL FUND MANA,2607,17113,3949,0,3949,0,0,0,0,0,2,1,7,0,0,26.07,100,26,100, ,2,Y,5,0,469350,2602350,0,0,2012,2011,0, , ,6.56,0,5,6.5,1,1002740024,0,8,986276,198761,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,258.7885049,2844.552089,2133000,16,0,10212,10213,13,2925,26.31699944,30.95444298,4.637443542,27.30329866,1.694286808,354.9428825 +10214,MN,908,31,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,489 2 AVENUE,C1-8A, , , , , , , , , ,N,C4,2,0, ,489 SECOND AVENUE LL,2467,9975,1750,8225,0,1750,0,0,0,0,2,1,5,16,17,24.67,100,25,78, ,2,N,5,2,135000,806850,0,0,1910,0,0, , ,4.04,7.52,2,7.5,1,1009080031,0,66,990029,209200,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,265.6998626,2643.417741,671850,11,0,10213,10214,11,2475,32.6922226,33.70111084,1.008888245,32.78393971,0.290034978,360.6233368 +10215,MN,606,93,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,119 WEST 10 STREET,C1-6,R6, , , , , , , , ,Y,A9,1,0, ,"KOKEN, TRESO A/K/A TR",1140,2268,0,2268,0,0,0,0,0,0,2,1,3,1,1,18.83,60,18.83,42, ,2,Y,5,2,33268,126074,28595,28595,1899,0,0,Greenwich Village Historic District, ,1.99,3.44,2,6.5,1,1006060093,0,71,984370,207019,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,165.0534482,1254.796263,92806,8,0,10214,10215,6,1350,19.72333336,22.13666725,2.413333893,20.50333341,1.103898895,123.0200005 +10216,MN,575,23,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,64 WEST 12 STREET,R6, , , , , , , , , ,N,B9,1,0, ,CLAUDETTE FINK,1996,3270,0,2580,0,0,0,0,0,0,2,1,3,2,2,19.33,103.25,19.33,40, ,2,N,5,1,43930,175840,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1005750023,0,63,985101,207204,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,250.3529068,1990.232465,131910,8,0,10215,10216,9,2025,24.42399979,24.42399979,0,24.42399979,0,219.8159981 +10217,MN,595,83,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,486 GREENWICH STREET,C6-2A, , , , , , , , , ,N,A9,1,0, ,HENDRICKS GEOFFREY,1120,1900,0,1900,0,0,0,0,0,0,2,1,2.5,1,1,20,59,20,34, ,2,Y,5,2,8394,27768,1550,1550,1899,0,0, ,486 GREENWICH STREET HOUSE,1.7,6.02,6,6.5,1,1005950083,0,37,981632,203495,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,155.9487916,1094.252066,19374,0,1,10216,10217,6,1350,8.068888664,8.821000099,0.752111435,8.570296288,0.354548731,51.42177773 +10218,MN,793,17,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,135 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,135 W 17 ST TENANTS C,5980,32322,5590,26732,0,5590,0,0,0,0,2,1,6,14,15,65,92,65,82, ,3,N,5,2,308700,4016250,12210,12210,1920,1988,0, , ,5.41,6.02,6,6.5,1,1007930017,0,81,985114,208918,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,324.1995265,6311.468348,3707550,7,0,10217,10218,28,6300,27.66555595,27.66555595,0,27.66555595,0,774.6355667 +10219,MN,746,9,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,355 WEST 22 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,CHELSEA 355 WEST 22ND,1852,4556,0,4556,0,0,0,0,0,0,2,1,4,5,5,18.75,98.75,19,60, ,3,N,5,5,139677,234579,0,0,1900,1984,0,Chelsea Historic District Extension, ,2.46,3,0,3,1,1007460009,0,93,983973,210966,8d,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,236.5811959,1777.698231,94902,2,0,10218,10219,8,1800,15.97222233,15.97222233,0,15.97222233,0,127.7777786 +10220,MN,391,33,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,137 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,"137 AVENUE C, LLC",1500,4740,1251,3489,0,1251,0,0,0,0,2,1,5,4,5,20,75,20,54,E,1,N,5,5,21020,106799,0,0,1900,2014,2014, , ,3.16,4,0,4,1,1003910033,0,2602,990237,203459,12c, ,102 022,10203,E-216,0, ,1,1,1,17V1.1,0,205.4847339,1682.332332,85779,12,1,10219,10220,7,1575,7.997000217,9.949999809,1.952999592,8.592952456,0.741766243,60.15066719 +10221,MN,435,39,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,127 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,127 EAST 7TH LLC,2437,8710,1742,6968,0,1742,0,0,0,0,2,1,5,12,14,25,97.5,25,84, ,3,N,5,2,152550,633600,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.57,4,0,4,1,1004350039,0,32,988695,203949,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.3007096,2541.279034,481050,12,0,10220,10221,12,2700,18.46888924,20.65444374,2.185554504,18.82398176,0.794328435,225.8877811 +10222,MN,479,23,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,167 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,L.K.C DEVELOPMENT COI,2350,6207,1227,4980,0,1227,0,0,0,0,2,1,5,8,10,25,93.17,25,50, ,3,N,5,2,15769,142309,0,0,1900,0,0, , ,2.64,3.44,6,6.5,1,1004790023,0,41,985610,201954,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,232.2681854,2142.934834,126540,0,0,10221,10222,10,2250,38.05444717,39.04555511,0.991107941,38.32155762,0.409930048,383.2155762 +10223,MN,222,7501,101,39,1013,2,1,10013,L008,1,15,7700,3,1, ,181 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,VESTRY PL CONDOMINIUM,7800,55184,9236,45948,0,9236,0,0,0,0,2,1,8,26,34,65,151,0,0, ,0,Y,5,5,1277104,6300002,52300,52572,1962,0,0, , ,7.07,6.02,6,6.5,1,1002227501,136,39,981903,202626,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,7,392.7457576,8804.052102,5022900,0,1,10222,10223,41,9225,12.2130003,14.07444477,1.861444473,12.32993252,0.418234018,505.5272331 +10224,MN,804,57,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,130 WEST 29 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,130-132 WEST 29TH STR,3950,47579,47579,0,0,3960,0,43610,9,0,2,1,12,0,16,40,98.75,40,99, ,2,N,5,2,625500,3564450,0,0,1914,1989,0, , ,12.05,0,10,10,1,1008040057,0,95,986587,211444,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,283.1974393,4069.046695,2938950,6,0,10223,10224,17,3825,33.49399948,35.92666626,2.432666779,33.63709753,0.572392183,571.830658 +10225,MN,826,46,105,58,1006,2,3,10010,E001,13,15,5700,1,5, ,1115 BROADWAY,M1-6,C5-2, , , , , , , , ,Y,O6,5,0,P,ROBERT BELSON AS TRUS,22188,259749,259749,0,241749,18000,0,0,0,0,2,1,12,0,50,55.5,232,56,232, ,3,Y,3,2,7200000,27988650,0,0,1914,2012,0, , ,11.71,0,10,10,1,1008260046,0,58,987079,209976,8d, ,104 001,10306,E-160,0, ,1, , ,17V1.1,0,853.8094464,22787.89102,20788700,2,0,10224,10225,102,22950,33.45800018,43.37555695,9.917556763,34.16025943,2.27880144,3484.346462 +10226,MN,476,15,102,47,2001,2,3,10013,L008,1,15,6800,1,2,1A,110 AVENUE OF THE AMER,M1-5B, , , , , , , , , ,N,C7,4,0, ,"MINNEOLA, LLC",3678,18056,3300,14756,0,3300,0,0,0,0,2,1,6,30,34,51.58,127.08,50,118, ,2,Y,3,2,298350,4482450,0,0,1900,1984,0,Sullivan-Thompson Historic District, ,4.91,0,5,6.5,1,1004760015,0,47,983040,202932,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,318.8646144,3911.968037,4184100,0,1,10225,10226,18,4050,9.686666489,10.48111153,0.794445038,9.730802324,0.181976711,175.1544418 +10227,MN,273,23,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,28 RUTGERS STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,"SZE, WAI YIK",2115,8326,0,8325,0,0,0,0,0,0,2,1,5,15,15,25,84.58,25,73, ,3,N,5,2,74250,539550,0,0,1901,1963,0, , ,3.94,3.44,0,6.5,1,1002730023,0,6,986933,199030,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,225.6854516,2227.228317,465300,16,0,10226,10227,9,2025,23.87533379,23.87533379,0,23.87533379,0,214.8780041 +10228,MN,209,7501,102,45,1010,2,1,10013,E055,5,15,6800,1,2, ,42426 BROADWAY,M1-5B, , , , , , , , , ,N,RI,5,0,P,ISSAC SHIH,4920,25845,25845,0,0,25845,0,0,0,0,2,1,6,0,6,0.11,0,0,0, ,0,N,5,5,381150,4932450,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,5.25,0,5,6.5,1,1002097501,373,45,983871,201435,12a, ,101N047,10105, ,1002090003,4/20/1987,1, , ,17V1.1,7,308.9696413,5214.109209,4551300,0,0,10227,10228,22,4950,11.84555531,11.84555531,0,11.84555531,0,260.6022167 +10229,MN,590,11,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,277 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C6,2,0,P,BUCHBINDER & WARREN,2169,11578,2169,9409,0,2169,0,0,0,0,2,1,6,20,22,30.2,83.8,27,80,E,3,N,3,2,214200,1681650,9440,9440,1930,2014,2014,Greenwich Village Historic District Exte, ,5.34,3.44,0,6.5,1,1005900011,0,67,983408,205859,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,226.0734443,2394.010678,1467450,9,0,10228,10229,11,2475,17.79000092,21.41555595,3.625555038,18.50151582,1.344627493,203.516674 +10230,MN,614,30,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,223 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"223 WEST 11 MAUD, LLC",1992,3624,0,3624,0,0,0,0,0,0,2,1,4,1,1,20.5,97,20.5,44,E,3,Y,5,5,129824,359358,0,0,1890,2009,0,Greenwich Village Historic District, ,1.82,2.43,0,4.8,1,1006140030,0,77,983603,207628,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,239.3196651,2021.554238,229534,8,0,10229,10230,10,2250,26.80333328,28.79999924,1.996665955,27.21505566,0.708719359,272.1505566 +10231,MN,342,65,103,12,1005,1,1,10002,L018,7,14,7600,1,3,2B,142 BROOME STREET,C6-2, , , , , , , , , ,N,W2,8,0,X,BETH JACOB PRCHL ETAL,6220,36694,36694,0,0,0,0,0,0,36694,2,1,3,0,1,66.17,94,50,91, ,1,N,3,2,387000,4286250,387000,4286250,1958,1990,0, , ,5.9,6.02,6,6.5,1,1003420065,0,12,988620,200323,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,325.4702496,6433.984,3899250,13,0,10230,10231,28,6300,22.54599953,24.61444473,2.068445206,22.91254718,0.664544063,641.551321 +10232,MN,434,51,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,411 EAST 6 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,JULY 15 REAL ESTATE L,2974,13170,0,13170,0,0,0,0,0,0,2,1,6,26,26,32.75,90.83,33,76, ,3,N,5,2,468000,2042550,0,0,1920,1984,0,East Village/Lower East Side Historic Di, ,4.43,4,0,4,1,1004340051,0,32,988302,203887,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,257.8012041,3220.526956,1574550,1,0,10231,10232,14,3150,18.92666626,20.12299919,1.196332932,19.95439611,0.413036407,279.3615456 +10233,MN,184,8,101,39,2000,2,1,10013,L010,1,15,7700,1,1,3A, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,149537,98000,98000,0,0,0,0,98000,0,0,2,4,1,0,2,345,994,200,200, ,1,Y,2,0,10916550,17335350,10916550,17335350,1900,0,0, , ,0.66,0,2,0,1,1001840008,0,39,980261,202047,12a, ,101S097,10105, ,0, ,1,1,1,17V1.1,0,1006.090618,45485.55928,6418800,14,1,10232,10233,178,40050,0,8.1277771,8.1277771,1.801451028,0.902311484,320.658283 +10234,MN,771,13,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,249 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"ZADA GROUP, LLC",2468,9310,0,9310,0,0,0,0,0,0,2,1,5,15,15,25,98.75,25,86, ,3,N,5,2,127350,1554300,0,0,1920,1986,0, , ,3.77,4,0,4,1,1007710013,0,87,984677,210280,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,251.9756962,2543.633849,1426950,7,0,10233,10234,11,2475,21.99111176,23.67000008,1.678888321,22.21751577,0.51464395,244.3926735 +10235,MN,901,34,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,359 2 AVENUE,R9A, , , ,C1-5, , , , , ,N,O7,5,0,P,359 SECOND AVENUE LLC,1932,5796,5796,0,5796,0,0,0,0,0,2,1,2,0,1,42,46,42,46, ,0,N,3,5,315900,1281600,0,0,1915,2001,0, , ,3,7.52,0,7.52,1,1009010034,0,64,989195,207633,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,187.7965182,2199.481002,965700,5,0,10234,10235,10,2250,19.86555672,20.48888779,0.62333107,19.92788982,0.186999321,199.2788982 +10236,MN,402,34,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,108 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,108 AVENUE B LIMITEDL,1806,8264,800,7464,0,800,0,0,0,0,2,1,5,9,10,28,64.5,28,59, ,3,N,3,2,102105,348086,0,0,1930,0,0, , ,4.58,4,0,4,1,1004020034,0,32,989383,203433,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,194.652383,2045.146223,245981,12,0,10235,10236,10,2250,12.85000038,13.61888886,0.768888474,12.96788921,0.249060553,129.6788921 +10237,MN,776,40,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,282 7 AVENUE,C6-2, , , , , , , , , ,N,W6,8,0,X,STATE UNIVERSITY OF,26399,169784,169784,0,0,0,0,0,0,169784,2,1,0,0,0,0,0,0,0, ,0,N,5,5,3690000,17368200,3690000,17368200,1974,0,0, , ,6.43,6.02,6,6.5,1,1007760040,0,95,985799,211235,8d, ,105S010,10304, ,1007760033,10/18/2010,1, , ,17V1.1,0,678.1694339,27461.17378,13678200,2,0,10236,10237,122,27450,26.70400047,31.41044426,4.706443787,26.97141027,0.986243787,3290.512053 +10238,MN,424,3,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,157 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0,P,THE GILA BITCHATCHO R,982,2799,2799,0,0,800,0,0,0,1999,2,1,3,0,3,13.5,72.75,14,68, ,3,Y,5,2,135000,354150,0,0,1900,0,0, , ,2.85,3.44,6,6.5,1,1004240003,0,18,985901,201409,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,179.223923,1059.814881,219150,0,0,10237,10238,5,1125,35.63777924,37.60666656,1.968887329,36.0315567,0.787554932,180.1577835 +10239,MN,926,7501,106,64,4001,2,2,10010,E005,13,14,5900,1,6, ,346 EAST 21 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,4000,21664,4442,17222,0,4442,0,0,0,0,2,1,6,30,36,40,100,40,97,E,2,N,0,5,314099,2907450,0,1230003,1910,0,0, , ,5.42,4,2,4,1,1009267501,2358,64,989827,207282,12c, ,102 048,10309, ,1009260041,1/2/2013,1, , ,17V1.1,7,284.8380522,4122.765015,2593350,5,0,10238,10239,17,3825,13.36222172,14.71000004,1.34777832,13.51027405,0.406614152,229.6746588 +10240,MN,940,38,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,350 EAST 35 STREET,R8, , , , , , , , , ,N,Z4,8,0,X,GOVERNMENT OF PEOPLE',18084,83000,83000,0,83000,0,0,0,0,0,2,1,5,0,1,74.83,125,74.83,198, ,3,Y,3,2,2767500,9990000,2767500,9990000,1930,0,0, , ,4.59,6.02,0,6.5,1,1009400038,0,78,991551,210509,8d, ,104 024,10309, ,0, ,1, ,1,17V1.1,0,604.5533016,18556.77594,7222500,10,1,10239,10240,81,18225,8.051111221,11.18000031,3.128889084,8.241167457,0.658024851,667.534564 +10241,MN,172,30,101,31,1007,2,1,10013,L001,5,15,7700,1,1,3B,54 FRANKLIN STREET,C6-4A, , , , , , , , , ,N,D5,3,0,P,54-56 MANAGEMENT CORP,5015,29575,4500,25075,500,4000,0,0,0,0,2,1,6,9,12,50.08,100.17,50,100, ,1,Y,3,2,339750,2015550,0,0,1920,1984,0,Tribeca East Historic District, ,5.9,10,10,10,1,1001720030,0,31,983510,200593,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,310.0077589,5406.130532,1675800,14,0,10240,10241,25,5625,13.85000038,22.2322216,8.382221222,14.75353806,2.46831095,368.8384514 +10242,MN,623,45,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,259 WEST 11 STREET,R6, , , , , , , , , ,N,B9,1,0, ,"WASSERMAN, BARBARA",1418,3520,0,2640,0,0,0,0,0,0,2,1,3,2,2,20.25,70,20.25,44, ,3,N,5,1,36802,164020,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1006230045,0,77,983186,207537,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,188.6121517,1593.803932,127218,8,0,10241,10242,7,1575,25.76333237,26.28222084,0.518888474,26.06507955,0.141236041,182.4555569 +10243,MN,175,7502,101,33,1003,2,1,10013,L001,1,15,7700,3,1, ,39 WHITE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2462,13319,5379,7940,0,5379,0,0,0,0,2,1,5,4,5,24.7,100.1,0,0, ,0,N,5,5,180424,817642,2360,2360,1920,0,0,Tribeca East Historic District, ,5.41,6.02,6,6.5,1,1001757502,701,33,982980,201043,12a, ,101S033,10105, ,1001750018,11/15/1990,1, , ,17V1.1,7,259.1890338,2582.328728,637218,14,0,10242,10243,12,2700,17.40222168,18.49888802,1.096666336,17.49361054,0.303102563,209.9233265 +10244,MN,793,22,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,121 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,121-125 W 17 OWNERS C,7074,53298,6691,46607,0,6691,0,0,0,0,2,1,8,28,29,74,92,74,92, ,3,Y,5,2,666000,4383450,25960,25960,1909,1988,0, , ,7.53,6.02,6,6.5,1,1007930022,0,81,985256,208841,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,381.400341,7718.470932,3717450,7,0,10243,10244,35,7875,27.66555595,27.66555595,0,27.66555595,0,968.2944584 +10245,MN,479,40,102,41,1002,2,1,10013,L006,5,15,6800,1,2,1A,368 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,L8,6,0, ,ZEITGEIST MOTT STREET,5677,32214,32214,0,0,5000,0,22214,0,5000,2,1,6,0,8,50.08,109,50,109, ,3,Y,3,2,765000,1500750,0,0,1920,2014,2003, , ,5.67,6.02,6,6.5,1,1004790040,0,41,985419,201721,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,331.5673244,5850.867775,735750,0,0,10244,10245,25,5625,35.33778,38.36266708,3.024887085,35.53423325,0.685383578,888.3558311 +10246,MN,771,14,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,247 WEST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,239-243-247 W. 21 REA,9875,41100,0,41100,0,0,0,0,0,0,2,3,5,59,59,100,98.75,100,82, ,3,N,5,0,580500,4133250,0,0,1920,1980,0, , ,4.16,4,0,4,1,1007710014,0,87,984732,210250,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,399.6618963,9982.616269,3552750,7,0,10245,10246,45,10125,21.99111176,24.04333305,2.052221298,22.56028095,0.445757738,1015.212643 +10247,MN,577,17,102,63,1000,2,3,10011,L003,6,15,5700,1,2,3A,46 WEST 14 STREET,C6-2M, , , , , , , , , ,N,D9,3,0,P,SASSON REALTY CORP,2581,16400,4690,11710,0,4690,0,0,0,0,2,1,6,9,10,25,103.25,25,93, ,3,N,5,2,328139,1024041,0,0,1920,2005,0, , ,6.35,6.02,6,6.5,1,1005770017,0,63,985367,207669,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,267.8387756,2671.030893,695902,8,0,10246,10247,11,2475,30.09499931,30.56666756,0.471668243,30.13787824,0.135595086,331.5166607 +10248,MN,526,66,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,186 SULLIVAN STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,DOUGLAS S. LIEBHAFSKY,2252,3960,0,3960,0,0,0,0,0,0,2,1,4,1,1,22.5,100.08,22.5,45, ,3,N,5,5,53417,221184,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.76,3.44,0,6.5,1,1005260066,0,65,983980,204701,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,249.4772529,2308.336315,167767,9,0,10247,10248,11,2475,23.22699928,24.21111107,0.984111786,23.55533305,0.416351069,259.1086636 +10249,MN,717,60,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,430 WEST 20 STREET,R7B,R8A, , , , , , , , ,Y,M9,8,0,X,MOTHERS OF THE HELPLE,8650,9221,9221,0,0,0,0,0,0,9221,2,3,4,0,0,50,184,50.92,55.83, ,0,Y,5,5,846000,1523700,846000,1523700,1900,0,0,Chelsea Historic District, ,1.07,3,0,3,1,1007170060,0,89,983058,210731,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,530.9119169,8941.1902,677700,7,1,10248,10249,39,8775,9.621110916,13.77555561,4.154444695,10.29327906,1.164664261,401.4378834 +10250,MN,636,22,102,75,1006,2,3,10014,L005,6,15,6400,1,2,2B,650 WASHINGTON STREET,C1-7,C6-2, , , , , , , , ,Y,D4,3,0,P,"KRAUSE, LAURENCE",27825,165436,0,165436,0,0,0,0,0,0,2,1,7,214,214,198,178,188,175, ,1,Y,3,2,3456000,15554700,168709,168709,1964,1986,0, , ,5.95,6.02,2,6.5,1,1006360022,0,75,981772,206337,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,698.9084787,28333.34627,12098700,9,1,10249,10250,128,28800,10.97933292,16.98666763,6.007334709,12.90753387,0.634421956,1652.164335 +10251,MN,532,25,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,643 BROADWAY,C6-2, , , , , , , , , ,N,D9,3,0, ,643 BDWY INC,2250,11250,2250,9000,0,2250,0,0,0,0,2,1,5,18,19,30,75,30,75, ,3,N,3,2,123750,2099250,0,0,1920,1970,0,NoHo Historic District, ,5,6.02,6,6.5,1,1005320025,0,5501,985360,204047,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,217.7798374,2399.948228,1975500,9,0,10250,10251,11,2475,35.57088852,35.57088852,0,35.57088852,0,391.2797737 +10252,MN,440,42,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,435 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,VILLAGE JV 435 EAST 1,2504,9335,900,8435,0,0,0,0,0,900,2,1,5,20,21,24.25,103.25,24,88, ,3,N,5,2,193950,1392300,0,0,1900,1985,0, , ,3.73,4,0,4,1,1004400042,0,34,989289,205069,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,258.0332358,2528.961318,1198350,12,0,10251,10252,10,2250,16.59444427,16.59444427,0,16.59444427,0,165.9444427 +10253,MN,770,18,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,241 WEST 20 STREET,R8B, , , , , , , , , ,N,S3,4,0, ,LORRIE GOULET REVOCAB,1679,4838,1500,3338,0,1500,0,0,0,0,2,1,4,3,4,23.33,73.08,23,70, ,3,Y,5,5,152799,393373,152799,201817,1920,0,0, , ,2.88,4,0,4,1,1007700018,0,87,984624,210015,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,199.2374374,1809.05408,240574,7,0,10252,10253,9,2025,22.20999908,28.08333397,5.873334885,23.18653022,1.955430234,208.678772 +10254,MN,450,5,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,138 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,S9,4,0, ,UKRANIAN NATIONAL HOM,3353,8620,2155,6465,0,2155,0,0,0,0,2,1,4.5,5,7,26.83,125,27,99,E,3,N,5,1,64834,203299,0,0,1900,0,0, , ,2.57,4,0,4,1,1004500005,0,38,987821,204779,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,311.2509747,3438.28588,138465,12,0,10253,10254,16,3600,25.4810009,33.67555618,8.194555283,26.0117439,1.980090479,416.1879025 +10255,MN,458,31,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,36 EAST 2 STREET,C6-2A, , , , , , , , , ,N,O5,5,0,P,"ZUBRINSKI & CO., LLC",1635,6845,5245,1600,3620,1625,0,0,0,0,2,2,4,3,4,20.5,79.75,20.5,54.75, ,0,Y,3,5,147150,638100,0,0,1900,1988,1996,East Village/Lower East Side Historic Di, ,4.19,6.02,6,6.5,1,1004580031,0,3602,986908,203475,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,202.6953141,1771.088016,490950,1,0,10254,10255,7,1575,37.60888672,38.73455429,1.125667572,37.76969637,0.393901596,264.3878746 +10256,MN,862,71,105,74,1003,2,4,10016,L024,14,15,5200,1,5,1A,331 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,333 FIFTH AVENUE ASSO,1728,10368,10368,0,7428,2940,0,0,0,0,2,1,6,0,9,24.67,70,25,70, ,2,N,3,2,522000,1559700,0,0,1910,0,0, , ,6,10,10,10,1,1008620071,0,74,988442,211637,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,207.2418396,2063.892721,1037700,10,0,10255,10256,9,2025,44.63700104,47.55555344,2.918552399,45.7772594,1.18570042,411.9953346 +10257,MN,348,17,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,155 RIVINGTON STREET,R7A, , , , , , , , , ,N,O5,5,0, ,155 PROPERTY CORP,2200,8800,8800,0,6600,2200,0,0,0,0,2,1,4,0,4,22,100,22,100, ,3,N,5,2,112500,797400,0,0,1910,1989,2014, , ,4,4,0,4,1,1003480017,0,1402,988230,201241,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,248.4630125,2177.139891,684900,13,0,10256,10257,9,2025,24.76333427,26.62333298,1.859998703,24.9700008,0.584541198,224.7300072 +10258,MN,817,57,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,4 WEST 16 STREET,C6-2M, , , , , , , , , ,N,D0,3,0, ,4 WEST 16TH ST CORP,3363,33080,2100,30980,0,2100,0,0,0,0,2,1,10,16,17,35,103.25,35,103.25, ,3,Y,5,2,298350,4289400,31380,31380,1902,1981,0,Ladies' Mile Historic District, ,9.84,6.02,6,6.5,1,1008170057,0,54,986087,207928,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,273.8330653,3322.215661,3991050,7,0,10257,10258,15,3375,30.80200005,30.80200005,0,30.80200005,0,462.0300007 +10259,MN,738,61,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,338 WEST 15 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,338 WEST 15TH STREET,1528,5694,0,4745,0,0,0,0,0,0,2,1,5,1,1,18.75,81.5,18.75,58.29, ,2,N,5,1,52452,92847,3380,3380,1900,2014,2014, , ,3.73,4,0,4,1,1007380061,0,83,983238,209210,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,210.9669375,1622.748589,40395,7,0,10258,10259,8,1800,16.15333366,19.50666618,3.35333252,16.97847247,1.429425939,135.8277798 +10260,MN,178,11,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,116 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0,P,ONE SIXTEEN INC,2000,9071,2914,6157,1814,1100,0,0,0,0,2,1,5,4,6,40.33,50,40,50,E,3,Y,5,2,97650,1301850,0,0,1915,0,0,Tribeca East Historic District, ,4.54,6.02,6,6.5,1,1001780011,0,33,982553,201153,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,191.0090082,2228.637247,1204200,14,1,10259,10260,10,2250,9.793333054,9.793333054,0,9.793333054,0,97.93333054 +10261,MN,818,64,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,22 WEST 17 STREET,C6-4A, , , , , , , , , ,N,W9,8,0,X,CENTER FOR JEWISH HIS,4103,28980,28980,0,0,0,0,0,0,28980,2,1,7,0,1,44.5,92,45,92, ,3,N,5,2,1174500,3381300,1174500,3381300,1963,1987,0,Ladies' Mile Historic District, ,7.06,10,10,10,1,1008180064,0,54,985991,208264,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,287.6005373,4400.665726,2206800,7,0,10260,10261,19,4275,31.11599922,36.35555649,5.239557266,31.74520412,1.496352694,603.1588783 +10262,MN,516,38,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,151 PRINCE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,BLDG PRINCE LLC,855,1890,1260,630,630,630,0,0,0,0,2,1,3,1,3,57,15,42,15,E,2,N,3,2,192600,1912500,0,0,1950,0,0,SoHo-Cast Iron Historic District Extensi, ,2.21,0,5,6.5,1,1005160038,0,49,983988,203758,12c, ,101N071,10206, ,1005160037,12/27/2001,1, , ,17V1.1,0,122.4704591,723.7685255,1719900,0,0,10261,10262,4,900,17.67111206,18.85966682,1.188554764,17.96825075,0.51465931,71.87300301 +10263,MN,205,12,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,122 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,122-124 MULBERRY ST.E,851,2040,850,1190,0,850,0,0,0,0,2,1,3,2,3,17,50.08,17,50, ,3,Y,5,5,35722,87920,0,0,1910,1986,0, , ,2.4,6.02,6,6.5,1,1002050012,0,41,984817,200794,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,139.0253405,858.2984479,52198,0,0,10262,10263,4,900,31.4109993,31.4109993,0,31.4109993,0,125.6439972 +10264,MN,912,9,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,211 EAST 31 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,EMERALD REALTY PARTNE,3720,7312,0,7312,0,0,0,0,0,0,2,2,4,16,16,37.67,98.75,37.5,49.5, ,0,N,5,5,87750,786150,0,0,1915,0,0, , ,1.97,3,0,3,1,1009120009,0,70,990160,210233,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,277.1118417,3799.973133,698400,10,0,10263,10264,17,3825,26.45000076,29.71444511,3.264444351,27.65228799,1.369266423,470.0888958 +10265,MN,231,1,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,301 CANAL STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,419 MM LLC,907,1748,1748,0,874,874,0,0,0,0,2,1,2,0,1,21.33,44.17,21,43, ,3,Y,5,2,158850,669150,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,1.93,0,5,6.5,1,1002310001,0,47,983687,201503,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,133.0796091,931.2294358,510300,0,0,10264,10265,4,900,12.89000034,12.89000034,0,12.89000034,0,51.56000137 +10266,MN,874,26,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,135 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,T H KALEM,1165,3192,0,3192,0,0,0,0,0,0,2,1,4,1,1,14.67,79.42,14.67,57, ,2,N,5,2,75573,159252,0,0,1910,0,0,Gramercy Park Historic District, ,2.74,4,0,4,1,1008740026,0,50,988048,207567,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,192.2768787,1127.111503,83679,5,0,10265,10266,5,1125,27.68333435,30.7733326,3.089998245,28.301334,1.235999298,141.50667 +10267,MN,348,48,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,78 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"ASIAN AMERICAN HDFC,",2330,7663,1300,6363,0,1300,0,0,0,0,2,1,5,8,10,32.83,70,33,67, ,3,Y,5,2,103372,484463,82698,387570,1920,0,0, , ,3.29,4,0,4,1,1003480048,0,1402,988401,201136,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,212.9733631,2446.001982,381091,13,0,10266,10267,11,2475,23.08555603,24.6977787,1.612222672,23.37262674,0.609134785,257.0988941 +10268,MN,141,7502,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,184 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,BARRY STEINGARD,2995,10705,6507,4198,3847,2660,0,0,0,0,2,1,5,2,5,45.58,131.83,45.58,80, ,0,Y,5,5,215550,1489500,0,0,1915,1985,0,Tribeca West Historic District, ,3.57,6.02,6,6.5,1,1001417502,617,39,981434,200562,12a, ,101S016,10104, ,1001410022,7/22/1989,1, , ,17V1.1,7,319.2474705,3078.521048,1273950,14,0,10267,10268,13,2925,16.45000076,16.8029995,0.352998734,16.77584575,0.094063345,218.0859947 +10269,MN,907,13,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,219 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"219 EAST 26TH STREET,",2469,10330,1200,9130,0,1200,0,0,0,0,2,1,5,18,20,25,98.75,25,80, ,3,N,5,2,90000,1018350,0,0,1912,0,0, , ,4.18,4,0,4,1,1009070013,0,66,989602,209070,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,251.3869303,2519.460757,928350,11,0,10268,10269,11,2475,35.09000015,38.22333145,3.133331299,35.53521174,0.917246008,390.8873291 +10270,MN,526,79,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,138 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,HOUSTON GARDENS LLC,3140,8352,1500,6852,0,1500,0,0,0,0,2,2,4,6,8,40,79,20,62, ,3,Y,5,1,215907,490012,0,0,1960,0,0, , ,2.66,3.44,0,6.5,1,1005260079,0,65,983813,204537,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,238.6152958,3078.850067,274105,9,0,10269,10270,12,2700,23.22699928,23.22699928,0,23.22699928,0,278.7239914 +10271,MN,606,1,102,71,3002,2,3,10011,Q018,6,15,6100,1,2,3B,421 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,26747,19800,19800,0,0,0,0,0,0,19800,2,1,3,0,1,235.5,185,235.5,243.42, ,1,Y,1,2,4590000,6556500,4590000,6556500,1930,1967,0,Greenwich Village Historic District, ,0.74,3.44,3.4,6.5,1,1006060001,0,71,984417,206875,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,743.6297815,28577.04526,1966500,8,0,10270,10271,128,28800,18.6922226,22.54888916,3.856666565,20.14508876,0.758431682,2578.571362 +10272,MN,466,21,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,224 EAST 11 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,224 226 AVE CORP,4085,16916,0,16916,0,0,0,0,0,0,2,1,6,26,26,43,95,43,80, ,3,N,5,2,231750,1870650,23600,23600,1910,1986,0, , ,4.14,4,0,4,1,1004660021,0,40,987694,205469,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,288.4993804,4353.702888,1638900,12,0,10271,10272,19,4275,32.08111191,32.57266617,0.49155426,32.10698318,0.109762532,610.0326805 +10273,MN,850,59,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,26 EAST 22 STREET,M1-5M, , , , , , , , , ,N,D0,3,0, ,KUBERA CORPORATION,2950,28604,2000,26604,0,2000,0,0,0,0,2,1,9,8,9,30,98.75,30,98,E,3,N,5,2,408273,1774919,2360,2360,1903,1981,0, , ,9.7,0,5,6.5,1,1008500059,0,56,987506,208831,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,269.3483222,3183.551181,1366650,11,0,10272,10273,13,2925,35.59999847,37.60777664,2.007778168,35.75444295,0.535011353,464.8077583 +10274,MN,846,17,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,23 EAST 17 STREET,M1-5M,C6-4, , , , ,US, , , ,Y,L8,6,0, ,"23 EAST SQUARE, LLC",1788,10998,10998,0,0,3698,0,7300,0,0,2,1,6,0,3,25,70.5,25,76, ,3,Y,5,2,387000,2318850,0,0,1910,2016,0,Ladies' Mile Historic District, ,6.15,0,5,6.5,1,1008460017,0,52,986818,207964,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,205.2426885,1908.553298,1931850,7,0,10273,10274,9,2025,39.36555481,39.36555481,0,39.36555481,0,354.2899933 +10275,MN,829,66,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,40 WEST 28 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,VLACHOS FAMILY PARTNE,2469,10435,6435,4000,4000,2435,0,0,0,0,2,1,5,4,7,25,98.75,25,90,E,3,N,5,2,405000,1265850,0,0,1900,2010,0, , ,4.23,0,10,10,1,1008290066,0,58,987091,210871,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,249.15113,2427.384667,860850,2,0,10274,10275,10,2250,42.75111008,45.63666534,2.885555267,43.15702133,0.897553699,431.5702133 +10276,MN,444,34,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,43 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,D9,3,0, ,"FAV 45, LLC",10200,33275,3500,29775,0,3500,0,0,0,0,2,1,5,72,80,102,100,102,65, ,3,N,3,2,724500,6052950,0,0,1910,0,0, , ,3.26,4,0,4,1,1004440034,0,3602,987589,203241,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,415.6404853,10795.82329,5328450,1,0,10275,10276,49,11025,30.95777702,34.1511116,3.193334579,31.11460254,0.53665334,1524.615524 +10277,MN,873,67,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,215 PARK AVENUE SOUTH,C6-4A,R8B, , , , , , , , ,Y,O4,5,0, ,DEVER PROPERTIES LLC,14273,285213,285213,0,275213,10000,0,0,0,0,2,1,20,0,52,78.5,175.17,78,175, ,3,Y,3,2,14400000,37006200,0,0,1910,1982,0, , ,19.98,10,10,10,1,1008730067,0,50,987500,207716,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,616.0139675,16324.69233,22606200,5,0,10276,10277,71,15975,34.90100098,38.94888687,4.047885895,35.28783336,0.977632494,2505.436169 +10278,MN,764,46,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,212 WEST 15 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,SOLLI WILLIAM R,2141,6500,1495,5005,1495,0,0,0,0,0,2,1,4,2,3,24.75,86.5,24.75,77,E,0,N,5,5,84053,209688,0,0,1910,0,0, , ,3.04,4,0,4,1,1007640046,0,81,984234,208655,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,225.3725078,2130.471186,125635,7,0,10277,10278,9,2025,24.42199898,24.7840004,0.362001419,24.46222136,0.11376607,220.1599922 +10279,MN,695,35,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,225 10 AVENUE,C6-3A, , , , , ,WCH, , , ,N,S3,4,0,P,"LARU PROPERTIES, LLC",1200,3500,1000,2500,0,1000,0,0,0,0,2,1,4,3,4,20,60,20,56,E,2,N,5,5,166393,384286,0,0,1920,1985,0, , ,2.92,7.52,6,7.5,1,1006950035,0,99,983079,211818,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,167.4006808,1268.317241,217893,2,1,10278,10279,5,1125,9.51099968,9.51099968,0,9.51099968,0,47.5549984 +10280,MN,766,21,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,235 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,C6,2,0, ,235 WEST 16 STREET LL,2000,5216,0,5216,0,0,0,0,0,0,2,1,4,5,5,20,100,20,76, ,3,N,5,1,115458,492347,0,0,1920,0,0, , ,2.61,4,0,4,1,1007660021,0,81,984225,209134,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,238.9635422,1989.657068,376889,7,0,10279,10280,9,2025,21.88888931,25.39111137,3.502222061,22.42701276,1.08329061,201.8431149 +10281,MN,575,70,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,41 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,RESIDENCE 72 LLC,2349,5168,0,4134,0,0,0,0,0,0,2,1,4,1,1,22.75,103.25,22.75,40, ,3,N,5,1,132053,263761,0,0,1901,2014,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1005750070,0,63,985213,207021,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,255.6092426,2278.01879,131708,8,0,10280,10281,10,2250,24.42399979,26.56999969,2.145999908,24.63859978,0.643799973,246.3859978 +10282,MN,463,48,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,19 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,19 EAST 7 GROUP L.P.,1950,8710,1742,6968,0,1742,0,0,0,0,2,1,5,10,12,26,75,26,64, ,3,N,5,2,180000,1071450,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.47,4,0,4,1,1004630048,0,38,987164,204786,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,208.2167405,2030.80912,891450,12,0,10281,10282,10,2250,34.15777969,35.76333237,1.605552673,34.31833496,0.481665802,343.1833496 +10283,MN,147,7504,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,68 THOMAS STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2563,11704,3732,7972,1332,2400,0,0,0,0,2,1,5,5,6,0.05,0,0,0, ,0,N,0,5,125035,789865,2360,2360,1880,1987,0,Tribeca South Historic District, ,4.57,6.02,6,6.5,1,1001477504,919,33,982122,200415,12a, ,11S 036,10104, ,1001470019,12/26/1995,1, , ,17V1.1,7,260.7228748,2582.175992,664830,14,0,10282,10283,11,2475,12.94333363,14.90333366,1.960000038,13.12151545,0.563460394,144.3366699 +10284,MN,377,62,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,249 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,249 EAST 7TH STREET C,4825,9664,0,9664,0,0,0,0,0,0,2,1,6,13,13,24.75,97.5,0,0, ,0,N,5,5,180000,1127250,12210,12210,2001,0,0, , ,2,4,0,4,1,1003770062,0,2602,990383,203015,12c, ,102 023,10202, ,1003770062,3/5/2002,1, ,1,17V1.1,0,296.2440331,4841.034783,947250,12,1,10283,10284,21,4725,7.448888779,10.78555584,3.336667061,8.216962882,1.167654982,172.5562205 +10285,MN,499,42,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,119 SPRING STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,TAR BEACH CLUB INC,2500,10875,2175,8700,0,2175,0,0,0,0,2,1,5,4,5,25,100,25,92, ,3,N,5,5,190427,845204,42860,42860,1915,2008,0,SoHo-Cast Iron Historic District, ,4.35,0,5,6.5,1,1004990042,0,49,984239,203001,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,260.9410465,2692.955188,654777,0,0,10284,10285,11,2475,22.35555458,22.35555458,0,22.35555458,0,245.9111004 +10286,MN,594,87,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,261 HUDSON STREET,C6-2A, , , , , , , , , ,N,D9,3,0,P,BRIDGE LAND HUDSON LL,26704,204332,9134,195198,0,8418,0,0,0,716,2,1,12,201,202,193.17,90,0,0, ,0,Y,4,1,3154050,25969581,876020,23691551,1900,0,0, , ,7.65,6.02,6,6.5,1,1005940087,0,37,982012,203475,12a, ,101N063,10208,E-116,1005940087,4/18/2014,1,1,1,17V1.1,0,742.6947259,26800.40876,22815500,0,1,10285,10286,118,26550,9.168000221,13.14999962,3.981999397,9.673116951,1.212382687,1141.4278 +10287,MN,454,57,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,327 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,327 EAST 12TH STREET,2779,12804,2134,10670,0,2134,0,0,0,0,2,1,6,22,24,26.92,103.25,26,85, ,3,N,5,2,180450,1012950,0,0,1900,1987,0, , ,4.61,4,0,4,1,1004540057,0,40,988530,205490,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,268.1237954,2891.079415,832500,12,0,10286,10287,13,2925,22.37666702,22.37666702,0,22.37666702,0,290.8966713 +10288,MN,590,63,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,17 BARROW STREET,R6, , , , , , , , , ,N,K4,4,0, ,RAPA NUI RLTY CORP,2025,3501,3501,0,787,2714,0,0,0,0,2,2,2,0,2,25,81.83,25,60, ,2,N,5,0,180900,779850,0,0,1910,1986,0,Greenwich Village Historic District, ,1.73,2.43,0,4.8,1,1005900063,0,67,983530,206144,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,219.990854,2124.804276,598950,9,0,10287,10288,10,2250,19.74111176,19.74111176,0,19.74111176,0,197.4111176 +10289,MN,424,38,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,330 BROOME STREET,C6-3A,C6-1G, , , , , , , , ,Y,C6,2,0, ,TEARS REALTY CORP,3753,11150,0,11150,0,0,0,0,0,0,2,1,4,5,5,40,93.83,40,93.83, ,0,Y,5,2,198024,488122,0,0,1900,2016,0, , ,2.97,7.52,6,7.5,1,1004240038,0,18,985991,201369,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,269.3345889,3785.763977,290098,0,0,10288,10289,16,3600,35.63777924,35.63777924,0,35.63777924,0,570.2044678 +10290,MN,907,2,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,361 3 AVENUE,C2-8, , , , , , , , , ,N,S5,4,0,P,THE ELEANOR WONG CHEW,2716,10024,2594,7430,0,2594,0,0,0,0,2,1,5,6,7,24.67,110,25,104, ,3,Y,5,2,169676,619487,0,0,1910,1983,0, , ,3.69,10,2,10,1,1009070002,0,66,989428,209154,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,278.4899076,2834.15962,449811,11,0,10289,10290,12,2700,35.85699844,37.93111038,2.074111938,36.05246162,0.571340028,432.6295395 +10291,MN,235,11,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1A,220 CENTRE STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,MANHATTAN REALTY COMP,1804,8485,1697,6788,0,1697,0,0,0,0,2,1,5,4,6,50,36.08,50,36, ,3,Y,5,5,110351,516843,0,0,1910,1971,0, , ,4.7,0,5,6.5,1,1002350011,0,41,984630,201369,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,174.6167967,1861.258687,406492,0,0,10290,10291,9,2025,18.99699974,21.95666695,2.959667206,19.58108626,1.103828572,176.2297764 +10292,MN,635,35,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,109 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,109 BANK STREET PROPE,1860,3440,0,2520,0,0,0,0,0,0,2,1,3,1,1,20,95,20,40,E,3,Y,5,1,34442,186841,0,0,1899,0,0,Greenwich Village Historic District, ,1.85,2.43,0,4.8,1,1006350035,0,79,982260,207622,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,236.1733635,1965.760705,152399,8,0,10291,10292,8,1800,13.34599972,13.34599972,0,13.34599972,0,106.7679977 +10293,MN,743,56,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,318 WEST 20 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,CHELSEA TOWNHOUSE LLC,2307,4500,0,4500,0,0,0,0,0,0,2,1,3,24,24,25.08,92,25,51, ,3,N,5,2,126450,965700,0,0,1900,0,0,Chelsea Historic District, ,1.95,3,0,3,1,1007430056,0,89,983981,210212,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,239.3140469,2373.393587,839250,7,0,10292,10293,12,2700,15.57888889,19.57333374,3.994444847,16.96844459,1.725889158,203.621335 +10294,MN,609,163,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,137 WEST 13 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"KWOH, BONNY L",2395,2395,0,2395,0,0,0,0,0,0,2,1,3,4,4,20.5,103.25,20.5,60, ,3,Y,5,5,238271,363723,0,0,1915,0,0,Greenwich Village Historic District, ,1,2.43,0,4.8,1,1006090163,0,71,984614,207963,12c, ,103 027,10209, ,1006090062,1/4/1988,1, , ,17V1.1,0,254.344044,2196.461379,125452,8,0,10293,10294,9,2025,25.65555573,28.33888817,2.683332443,26.4070371,1.078183143,237.6633339 +10295,MN,805,17,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,143 WEST 29 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,143-145 WEST 29 STREE,4690,58292,58292,0,53692,4600,0,0,0,0,2,1,12,0,42,47.5,98.75,48,92, ,3,N,5,2,675000,4330350,0,0,1912,0,0, , ,12.43,0,10,10,1,1008050017,0,95,986578,211628,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,296.350395,4809.725845,3655350,6,0,10294,10295,22,4950,34.63499832,34.63499832,0,34.63499832,0,761.9699631 +10296,MN,392,39,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,647 EAST 9 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,K4,4,0,P,EZ 647 LLC,2307,4656,2350,2306,0,2350,0,0,0,0,2,1,3,3,4,25,92.25,25,92, ,3,Y,5,0,220500,725850,0,0,1950,1997,0, , ,2.02,4,0,4,1,1003920039,0,28,990271,203648,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,241.3705437,2411.604568,505350,12,1,10295,10296,10,2250,7.576999664,8.788888931,1.211889267,7.698188591,0.36356678,76.98188591 +10297,MN,573,7502,102,63,3000,2,3,10011,E033,6,15,5700,3,2, ,422 AVENUE OF THE AMER,C4-5,R6, , , , ,LC, , , ,Y,RM,4,0,P,69 WEST 9TH ST,10655,107650,13400,94250,0,13400,0,0,0,0,2,1,12,119,120,92.27,115.5,0,0, ,0,N,5,5,1930500,15449850,211284,211284,1959,0,0,Greenwich Village Historic District, ,10.1,3.44,3.4,6.5,1,1005737502,89,63,984618,206782,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,7,419.1681418,10864.17752,13519400,8,0,10296,10297,47,10575,18.98099899,20.39666557,1.41566658,19.05964916,0.28576684,895.8035107 +10298,MN,633,33,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,141 PERRY STREET,C1-6A, , , , , , , , , ,N,B1,1,0, ,"BACALAO, LLC",1600,3040,0,2280,0,0,0,0,0,0,2,1,3,2,2,20.08,80,20.08,38, ,3,Y,5,1,46282,104209,0,0,1899,0,0,Greenwich Village Historic District, ,1.9,4,2,4,1,1006330033,0,75,982037,207072,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,205.2784753,1652.095979,57927,9,0,10297,10298,7,1575,15.33111095,17.60000038,2.268889427,15.65523802,0.793945911,109.5866661 +10299,MN,149,33,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,277 BROADWAY,C6-4A, , , , , , , , , ,N,O6,5,0, ,CHAMBERS COMPANY,4726,93615,93615,0,90315,3300,0,0,0,0,2,1,18,0,41,50.92,93.67,50,94, ,3,Y,3,2,1489500,8261550,0,0,1900,0,0, ,BROADWAY CHAMBERS BUILDING,19.81,10,10,10,1,1001490033,0,21,982458,199564,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,309.9543016,5503.161636,6772050,14,0,10298,10299,25,5625,29.82299995,29.82299995,0,29.82299995,0,745.5749989 +10300,MN,543,20,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,118 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,GREENWICH REALTY ASSO,2500,9974,800,9174,0,800,0,0,0,0,2,1,5,16,17,25,100,25,84, ,3,N,5,2,223650,1249650,0,0,1900,0,0,South Village Historic District, ,3.99,3.44,0,6.5,1,1005430020,0,65,984122,205363,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,251.2165831,2444.228116,1026000,9,0,10299,10300,11,2475,19.06100082,22.89011192,3.829111099,19.79939461,1.3940752,217.7933407 +10301,MN,746,7,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,359 WEST 22 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,SOLHAR HOLDING CORP,1852,4556,0,4556,0,0,0,0,0,0,2,1,4,5,5,18.75,98.75,19,60, ,3,N,5,5,130365,218940,0,0,1910,1987,0,Chelsea Historic District Extension, ,2.46,3,0,3,1,1007460007,0,93,983941,210984,8b,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,237.6278536,1830.31068,88575,2,0,10300,10301,7,1575,15.97222233,16.32999992,0.357777596,16.02333341,0.125196079,112.1633339 +10302,MN,271,40,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,213 MADISON STREET,R7-2, , , , , , , , , ,N,K1,5,0, ,LESAGA LLC,2612,2314,2314,0,0,2314,0,0,0,0,2,1,1,0,2,26.08,100.17,26,86, ,3,N,5,2,135000,657900,0,0,1957,2004,0, , ,0.89,3.44,0,6.5,1,1002710040,0,6,987232,199024,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.3944154,2690.787775,522900,16,0,10301,10302,11,2475,17.21111107,21.68333435,4.472223282,17.99515152,1.664599658,197.9466667 +10303,MN,140,24,101,21,2000,2,1,10013,E007,1,15,7700,1,1,3A,145 READE STREET,C6-3A, , , , , ,TMU, , , ,N,A4,1,0,P,145 READE STREET,1766,11913,0,11913,0,0,0,0,0,0,2,1,5,1,1,23.5,76.42,23.5,76.42, ,3,Y,5,2,166436,457920,0,0,1910,2006,0, , ,6.75,7.52,6,7.5,1,1001400024,0,21,981442,200279,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,202.2371753,1861.373973,291484,14,0,10302,10303,8,1800,18.1439991,18.1439991,0,18.1439991,0,145.1519928 +10304,MN,882,85,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,381 PARK AVENUE SOUTH,C6-4A,C4-5A, , , , , , , , ,Y,O6,5,0, ,373-381 PAS ASSOCIATE,12449,209041,209041,0,190895,9560,0,8586,0,0,2,1,16,0,97,53.75,162.5,53.75,162.5, ,2,Y,3,1,7605000,26725950,0,0,1910,0,0, , ,16.79,10,10,10,1,1008820085,0,68,988626,209737,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,532.8225106,12992.15453,19121000,11,0,10303,10304,59,13275,33.85400009,37.4711113,3.617111206,34.22514505,0.955274648,2019.283558 +10305,MN,449,14,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,50 ST MARKS PLACE,R8B, , , , , , , , , ,N,C2,2,0, ,50 ST. MARKS PLACE LL,2438,5879,0,5879,0,0,0,0,0,0,2,1,4,6,6,25,97.5,25,58,E,3,N,5,5,55474,221546,0,0,1920,0,0, , ,2.41,4,0,4,1,1004490014,0,38,987857,204528,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,245.5308538,2386.742132,166072,12,0,10304,10305,10,2250,26.66699982,31.48999977,4.822999954,28.06886654,1.805778977,280.6886654 +10306,MN,830,27,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,1180 BROADWAY,M1-6, , , , , , , , , ,N,L8,6,0,P,BRO REALTIES NO. 2 LL,2217,10000,10000,0,0,2000,0,8000,0,0,2,1,5,0,6,26.42,94.58,26,93,E,3,Y,5,2,481500,1195200,0,0,1925,0,0,Madison Square North Historic District, ,4.51,0,10,10,1,1008300027,0,76,987456,210835,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,239.9831746,2422.378981,713700,2,0,10305,10306,11,2475,43.21222305,43.21222305,0,43.21222305,0,475.3344536 +10307,MN,414,56,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,97 ORCHARD STREET,C4-4A, , , , , , , , , ,N,P7,8,0,X,LOWER EAST SIDE TENEM,2177,8435,8435,0,0,2600,0,0,0,5835,2,1,5,0,1,24.83,89,24.83,68, 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,20.34,10,15,15,1,1000430001,0,7,981648,196777,12b, ,101S011,10101, ,0, ,1, , ,17V1.1,0,578.864053,15516.89513,14814000,17,0,10308,10309,69,15525,26.4829998,33.04666901,6.563669205,26.69918019,1.103619571,1842.243433 +10310,MN,468,54,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,215 EAST 12 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"BELL-SIMOTAS, PAMELA",2581,5024,0,5024,0,0,0,0,0,0,2,1,3,5,5,25,103.25,25,58,E,3,N,5,5,118756,161599,0,0,1900,0,0, , ,1.95,4,0,4,1,1004680054,0,40,987823,205882,12c, ,102 026,10205,E-216,0, ,1, , ,17V1.1,0,261.3012746,2596.804825,42843,12,0,10309,10310,12,2700,29.43199921,32.27777863,2.845779419,30.0459439,1.082589926,360.5513268 +10311,MN,527,58,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,48 CARMINE STREET,R6, , , , , , , , , ,N,S4,4,0, ,"ALL COLLECT, INC.",1500,5866,935,4931,0,935,0,0,0,0,2,1,5,4,5,18.75,80,19,64,E,3,N,5,5,98266,224152,0,0,1900,0,0,Greenwich Village Historic District Exte, ,3.91,2.43,0,4.8,1,1005270058,0,67,983301,205166,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,203.4294358,1582.010318,125886,9,0,10310,10311,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +10312,MN,145,10,101,21,1000,2,1,10007,E007,1,15,7700,1,1,3A,121 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,S9,4,0, ,121 CHAMBERS ST LLC,3788,18500,3675,14825,0,3675,0,0,0,0,2,1,5,4,10,25,150.83,25,151, ,3,Y,4,2,336887,779333,0,0,1930,0,0,Tribeca South Historic District, ,4.88,7.52,6,7.5,1,1001450010,0,21,981904,199955,12b,Y,101S017,10104, ,0, ,1, , ,17V1.1,0,367.2017522,4054.065295,442446,14,0,10311,10312,18,4050,21.27222252,24.17666626,2.904443741,21.4335805,0.665296018,385.8044491 +10313,MN,620,52,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,90 CHARLES STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0, ,"LANDAU, HENRY J",1884,2358,0,2358,0,0,0,0,0,0,2,1,3,3,3,19.42,100,19.42,36,E,2,Y,5,2,32598,149110,0,0,1899,0,0,Greenwich Village Historic District, ,1.25,2.43,0,4.8,1,1006200052,0,73,983074,206887,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,248.1931805,1999.993207,116512,9,0,10312,10313,9,2025,24.70777702,24.70777702,0,24.70777702,0,222.3699932 +10314,MN,164,16,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,60 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,LUEN NAM REALTY CORP,2376,11314,2000,9314,0,2000,0,0,0,0,2,2,6,30,33,25,95.17,25,53, ,2,Y,5,2,180000,560700,0,0,1915,0,0, , ,4.76,3.44,6,6.5,1,1001640016,0,29,984458,199945,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,245.7705605,2442.892729,380700,14,0,10313,10314,10,2250,23.08911133,24.29500008,1.205888748,24.1744112,0.361766624,241.744112 +10315,MN,821,59,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,26 WEST 20 STREET,C6-4A, , , , , , , , , ,N,S4,4,0, ,26 WEST 20 ST CORP,2576,12635,4635,8000,0,2500,0,2135,0,0,2,1,5,4,5,28,92,28,90, ,3,N,5,5,338883,687655,0,0,1920,1961,2005,Ladies' Mile Historic District, ,4.9,10,10,10,1,1008210059,0,54,986278,208942,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,256.0254461,2893.636664,348772,7,0,10314,10315,13,2925,32.91555405,37.24666595,4.331111908,33.57281905,1.541596119,436.4466476 +10316,MN,623,26,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,76 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,DANIEL C MALONE,2082,3218,0,3218,0,0,0,0,0,0,2,1,2.5,5,5,25.17,86,25,64,E,3,Y,5,5,108932,326987,0,0,1910,0,0,Greenwich Village Historic District, ,1.55,2.43,0,4.8,1,1006230026,0,77,982928,207607,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,222.2560632,2026.800694,218055,8,0,10315,10316,10,2250,22.60333252,22.60333252,0,22.60333252,0,226.0333252 +10317,MN,402,50,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,531 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,ROZOF ARTHUR,2272,8532,0,8532,0,0,0,0,0,0,2,1,5,24,24,25,90.83,25,56, ,3,N,5,1,196650,935550,0,0,1920,0,0, , ,3.76,3,0,3,1,1004020050,0,32,989150,203419,12c, ,102 021,10203, ,0, ,1, , 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,17V1.1,0,258.116884,2365.254796,462600,7,0,10318,10319,10,2250,24.42199898,27.45666695,3.034667969,25.1597105,1.106956376,251.597105 +10320,MN,558,36,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,88 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,88 THIRD REALTY LLC,3215,8777,2725,6052,0,2725,0,0,0,0,2,1,3,8,11,51.5,65.42,51,58, ,3,Y,3,2,270000,2074500,0,0,1910,0,0, , ,2.73,6.02,6,6.5,1,1005580036,0,42,987491,206037,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,245.9510444,3603.370937,1804500,12,0,10319,10320,15,3375,38.19900131,38.19900131,0,38.19900131,0,572.9850197 +10321,MN,587,24,102,67,3001,2,3,10014,E024,6,15,6400,1,2,1B,282 BLEECKER STREET,C2-6, , , , , , , , , ,N,S2,4,0,P,"JEM REAL ESTATE CO.,",1575,4179,1504,2675,0,1504,0,0,0,0,2,1,3,2,3,21,75,21,75, ,3,Y,5,0,77878,133010,0,0,1910,2008,0,Greenwich Village Historic District Exte, ,2.65,3.44,2,6.5,1,1005870024,0,67,983268,205873,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,199.0344193,1709.149826,55132,9,0,10320,10321,8,1800,21.02799988,21.68222237,0.654222488,21.10977769,0.216363751,168.8782215 +10322,MN,374,43,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,353 EAST 4 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,D9,3,0, ,"351 EAST 4TH STREET,",6347,27226,0,27226,0,0,0,0,0,0,2,1,8,33,33,22,96.17,0,0, ,3,N,5,0,274500,2240100,0,1245672,2000,0,0, , ,4.29,4,0,4,1,1003740043,0,2601,990310,202197,12c, ,102 014,10202, ,1003740043,12/12/2000,1, , ,17V1.1,0,324.8020766,6362.444225,1965600,1,1,10321,10322,28,6300,11.67399979,13.17555523,1.501555443,12.04062676,0.506372189,337.1375494 +10323,MN,860,37,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,442 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,H1,5,0,P,444 PARK AVENUE SOUTH,6419,120400,6700,0,0,6700,0,0,0,0,2,1,19,0,1,74,86.67,73,86, ,3,Y,3,2,3150000,22224518,0,0,1920,2012,2015, , ,18.76,10,10,10,1,1008600037,0,74,988861,210644,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,324.1340529,6517.667048,19074500,10,0,10322,10323,30,6750,37.50888824,38.95111084,1.442222595,37.55696233,0.258886879,1126.70887 +10324,MN,75,48,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1,1B,34 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,K4,4,0, ,212 MIDDLE NECK LLC,2608,7824,5216,2608,0,5216,0,0,0,0,2,1,3,1,2,31.58,102,31,102, ,0,Y,5,5,435600,1140300,0,0,1902,0,0, , ,3,10,10,10,1,1000750048,0,1502,982903,197281,12b, ,101S012,10102, ,1000750021,12/15/1989,1,1, ,17V1.1,0,277.3669478,2706.267022,704700,4,1,10323,10324,12,2700,13.35599995,17.27666664,3.920666695,13.96490733,1.365921777,167.5788879 +10325,MN,426,47,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,4 RIVINGTON STREET,C6-1, , , , , , , , , ,N,L9,6,0, ,4 RIVINGTON LLC,2376,10938,4386,6552,2193,2193,0,0,0,0,2,1,5,3,4,24,99.5,24,91.5, ,3,Y,5,2,180000,725400,0,0,1900,0,0, , ,4.6,3.44,6,6.5,1,1004260047,0,3601,986221,202196,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,257.2932287,2552.499226,545400,13,0,10324,10325,12,2700,41.51444626,41.51444626,0,41.51444626,0,498.1733551 +10326,MN,474,18,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,45 MERCER STREET,M1-5B, , , , , , , , , ,N,S5,4,0, ,PEACHY MERCER LLC,2500,11500,3000,8500,0,2000,0,1000,0,0,2,1,5,5,6,25,100,25,100, ,3,N,5,5,112463,450838,0,0,1920,2009,0,SoHo-Cast Iron Historic District, ,4.6,0,5,6.5,1,1004740018,0,47,983860,202202,12a, ,101N070,10206, ,1004740018,12/28/1994,1, , ,17V1.1,0,256.4096026,2573.245491,338375,0,0,10325,10326,11,2475,14.17000008,14.17000008,0,14.17000008,0,155.8700008 +10327,MN,608,27,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,124 WEST 13 STREET,R6, , , , , , , , , ,N,S1,4,0, ,CHARLES H MELCHER,2148,7700,2000,5700,2000,0,0,0,0,0,2,1,4,1,2,20.8,103.25,0,0, ,3,N,5,2,136603,303373,0,0,1900,0,0,Greenwich Village Historic District, ,3.58,2.43,0,4.8,1,1006080027,0,71,984628,207772,12c, ,103 027,10209, ,1006080026,3/15/2002,1, , ,17V1.1,0,257.9708603,2340.730306,166770,8,0,10326,10327,11,2475,24.04400063,28.86777878,4.823778152,24.57800068,1.389410803,270.3580074 +10328,MN,501,7501,102,49,1007,2,1,10012,L020,1,15,6800,1,2, ,105 WOOSTER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,THE WOOSTER STREET CO,10000,55459,31207,24252,0,31207,0,0,0,0,2,1,6,15,16,100,100,100,90, ,0,N,0,5,1224000,11119950,2360,2360,1920,0,0,SoHo-Cast Iron Historic District, ,5.55,0,5,6.5,1,1005017501,1199,49,984011,203361,12c,Y,11N 071,10206, ,1005010024,11/21/2001,1, , ,17V1.1,7,406.1561821,10309.00872,9895950,0,0,10327,10328,45,10125,15.00755596,15.00755596,0,15.00755596,0,675.3400183 +10329,MN,424,12,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,1 DELANCEY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,LUCKY BOWERY REALTY C,2504,9160,2300,6860,0,2300,0,0,0,0,2,1,4,32,33,20.08,125.5,18,123, ,3,Y,3,2,153450,722700,0,0,1905,2013,0, , ,3.66,3.44,6,6.5,1,1004240012,0,18,985984,201583,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,292.8062158,2630.093108,569250,0,0,10328,10329,11,2475,35.63777924,39.97999954,4.342220306,37.04189959,1.629345918,407.4608955 +10330,MN,558,13,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,110 EAST 13 STREET,C6-2A, , , , , , , , , ,N,D5,3,0, ,110 EAST 13TH ST ASSO,4543,25850,3490,22360,0,3490,0,0,0,0,2,1,6,20,21,44,103.25,44,98,E,2,N,5,2,508500,2564550,0,0,1900,1986,0, , ,5.69,6.02,6,6.5,1,1005580013,0,42,987209,206343,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,302.8056916,4725.692502,2056050,12,0,10329,10330,22,4950,38.19900131,43.97333145,5.774330139,38.89498572,1.757509137,855.6896858 +10331,MN,411,45,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,144 LUDLOW STREET,C4-4A, , , , , , , , , ,N,D1,3,0,P,5502 LUDLOW STREET 14,8904,34904,0,34904,0,0,0,0,0,0,2,6,6,52,52,100,89.17,100,48, ,0,N,5,5,495000,2431350,0,1856350,1900,1992,0, , ,3.92,4,4,4,1,1004110045,0,3001,987630,201828,12c, ,102 003,10204, ,1004110045,1/4/1993,1, , ,17V1.1,0,381.9043113,9090.474511,1936350,1,0,10330,10331,41,9225,30.50799942,34.41444397,3.90644455,31.24724597,1.261581407,1281.137085 +10332,MN,450,26,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,344 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,GOLDEN REALTY CO,2348,9365,0,9365,0,0,0,0,0,0,2,1,5,20,20,25,93.92,25,75, ,3,N,5,2,270000,1084950,0,0,1920,1988,0, , ,3.99,4,0,4,1,1004500026,0,38,988219,204614,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.6244621,2566.06246,814950,12,0,10331,10332,11,2475,25.4810009,27.38444519,1.90344429,25.87450582,0.665111632,284.6195641 +10333,MN,399,37,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,40 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,40 AVENUE B LLC,1920,8075,800,7275,0,800,0,0,0,0,2,1,5,8,9,24,80,24,80,E,3,N,5,2,30217,165477,0,0,1900,2005,0, , ,4.21,4,0,4,1,1003990037,0,32,988945,202655,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,210.600286,1979.600568,135260,1,0,10332,10333,9,2025,18.04222298,18.04222298,0,18.04222298,0,162.3800068 +10334,MN,593,28,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,385 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,135 WAVERLY REALTY LL,1717,6860,1715,5145,0,1715,0,0,0,0,2,1,4,9,10,21.42,80.17,21,80, ,3,N,3,2,73528,1236950,0,0,1910,0,0,Greenwich Village Historic District, ,4,3.44,3.4,6.5,1,1005930028,0,71,984175,206383,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,218.0192901,1956.923791,1163420,8,0,10333,10334,9,2025,17.50333405,17.50333405,0,17.50333405,0,157.5300064 +10335,MN,692,52,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,534 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,K1,5,0, ,"534 WEST 21ST STREET,",4570,6854,6854,0,0,6854,0,0,0,0,2,1,1.5,0,1,49.67,92,49.67,92, ,0,N,5,5,315000,1038600,0,0,1946,1996,0, , ,1.5,0,5,6.5,1,1006920052,0,99,982338,211400,8b, ,103 044,10301, ,1006920053,12/29/1986,1,1,1,17V1.1,0,283.8135863,4595.343122,723600,7,1,10334,10335,19,4275,7.078222275,7.123000145,0.04477787,7.120643415,0.009998759,135.2922249 +10336,MN,715,50,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,436 WEST 18 STREET,C6-3, , , , , ,WCH, , , ,N,O5,5,0,P,DUGOUT DOUG-TWO LLC,2468,6100,5300,800,3050,2250,0,0,0,0,2,1,3,1,4,25,92,25,92, ,0,N,5,5,166500,1412550,0,0,1910,1991,2013, , ,2.47,7.52,6,10,1,1007150050,0,83,982826,210293,8b, ,103 041,10302,E-142,0, ,1, , ,17V1.1,0,241.8439956,2421.630028,1246050,7,1,10335,10336,11,2475,11.21000004,13.04777813,1.837778091,11.42414145,0.522932353,125.665556 +10337,MN,528,55,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,224 VARICK STREET,C2-6, , , , , , , , , ,N,S1,4,0, ,224 VARICK STREET LLC,600,1500,600,900,0,600,0,0,0,0,2,1,2.5,1,2,19.75,33.58,19.75,33.58, ,0,Y,5,5,32230,80574,0,0,1910,0,0, , ,2.5,3.44,2,6.5,1,1005280055,0,67,982862,204905,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,105.2362315,608.507828,48344,9,0,10336,10337,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +10338,MN,286,33,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,235 EAST BROADWAY,R7-2, , , , , , , , , 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V. HAUGHWOUT BUILDING,4.93,0,5,6.5,1,1004830001,0,45,984398,202249,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,341.3101119,6879.781073,9798750,0,0,10338,10339,30,6750,24.68222237,24.68222237,0,24.68222237,0,740.466671 +10340,MN,844,34,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,14 EAST 17 STREET,M1-5M, , , , , , , , , ,N,D0,3,0, ,E. 17TH ST. 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,4.14,4,0,4,1,1004387502,1207,34,988924,204789,12c, ,102 028,10205, ,1004380016,12/14/2001,1, , ,17V1.1,7,297.3685424,4944.119282,2169190,12,0,10341,10342,21,4725,18.5909996,20.26455498,1.673555374,18.78903671,0.496875861,394.5697708 +10343,MN,717,50,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,412 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C3,2,0, ,"FLOWERS, MARY K",2229,4730,0,4730,0,0,0,0,0,0,2,1,3.5,4,4,21.42,104,21,42, ,3,N,5,5,212607,357008,20250,20250,1910,0,0,Chelsea Historic District, ,2.12,3,0,3,1,1007170050,0,89,983247,210611,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,261.3298957,2499.982529,144401,7,1,10342,10343,10,2250,9.621110916,15.38555527,5.764444351,11.65239992,2.478550787,116.5239992 +10344,MN,147,12,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,135 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,135 WEST BROADWAY LLC,852,2055,2055,0,805,1250,0,0,0,0,2,1,3,0,1,16.92,50,16.11,50, ,3,N,5,2,48600,414450,0,0,1920,1985,0,Tribeca South Historic District, 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,0, ,1, , ,17V1.1,0,291.3189594,4776.054382,380700,9,0,10345,10346,23,5175,20.56999969,20.56999969,0,20.56999969,0,473.109993 +10347,MN,308,30,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,87 HESTER STREET,C6-2, , , , , , , , , ,N,D6,4,0, ,ALLEN HESTER CORP,2217,14348,4400,9948,0,2200,0,0,0,2200,2,1,8,8,11,22.42,100,22,100,E,2,Y,3,2,299250,1665450,0,0,2012,2012,2015, , ,6.47,6.02,6,6.5,1,1003080030,0,16,986591,200249,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,246.9512076,2279.760472,1366200,13,0,10346,10347,10,2250,36.62400055,39.33889008,2.714889526,36.95740051,0.803812849,369.5740051 +10348,MN,530,67,102,55.02,2002,2,1,10012,L009,9,15,5700,1,2,2A,2 BOND STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,TRILOKA INC,2600,13000,5200,7800,0,5200,0,0,0,0,2,1,5,4,6,26,100,26,100, ,3,N,5,2,172377,562617,0,0,1900,0,0,NoHo Historic District, ,5,0,5,6.5,1,1005300067,0,5502,985775,204177,12c, ,103 009,10207, ,0, ,1, , 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,17V1.1,0,384.9439633,9217.440597,1205100,8,0,10351,10352,42,9450,21.81777763,23.76033401,1.942556381,21.99676977,0.522179005,923.8643303 +10353,MN,616,41,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,345 WEST 4 STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,345 W 4TH 306 W 13TH,1100,4060,0,4060,0,0,0,0,0,0,2,1,4,10,10,21.58,50,21.58,40, ,3,Y,5,2,101414,304952,2254,2254,1926,0,0,Greenwich Village Historic District, ,3.69,3.44,2,6.5,1,1006160041,0,77,983230,208525,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,149.7716153,1175.428103,203538,8,0,10352,10353,4,900,20.44199944,20.44199944,0,20.44199944,0,81.76799774 +10354,MN,473,47,102,45,1004,2,1,10013,E055,5,15,6800,1,2,1A,142 GRAND STREET,M1-5B, , , , , , , , , ,N,Z9, ,0,C,DEPT OF ENVIRONMENTAL,12560,0,0,0,0,0,0,0,0,0,7,1,1,0,0,100.17,125.17,0,6, ,0,N,3,5,1192500,1476000,1192500,1476000,1967,0,0,SoHo-Cast Iron Historic District Extensi, ,0,0,5,6.5,1,1004730047,0,45,984487,201734,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,468.8774333,13531.24011,283500,0,0,10353,10354,59,13275,23.06555557,27.99555588,4.930000305,26.42450472,0.906685001,1559.045778 +10355,MN,452,2,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,162 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,D9,3,0, ,"I BLDG CO., INC",10207,121503,15178,106325,0,15178,0,0,0,0,2,1,16,159,166,105.08,100,105,95, ,3,Y,5,2,2610000,14573250,0,0,1929,1988,1998, , ,11.9,4,0,4,1,1004520002,0,40,988042,205202,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,419.9624936,10693.31137,11963300,12,0,10354,10355,47,10575,22.86222267,31.67777824,8.815555573,23.94069546,2.82297526,1125.212687 +10356,MN,537,29,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,532 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,"HK PINELAND, INC.",1875,7665,1325,6340,0,1325,0,0,0,0,2,1,5,4,5,25,75,25,62, ,3,N,5,5,414089,790832,0,0,1900,1986,0,South Village Historic District, ,4.09,3.44,0,6.5,1,1005370029,0,65,984594,204754,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,208.1887665,1966.697573,376743,9,0,10355,10356,9,2025,27.39777756,27.39777756,0,27.39777756,0,246.579998 +10357,MN,49,1,101,13,2000,2,1,10006,E010,1,15,7700,1,1, ,75 BROADWAY,C5-5, , , , , ,LM, , , ,N,M1,8,0,X,PARISH OF TRINITY CHR,98432,15928,15928,0,0,0,0,0,0,15928,2,1,1,0,1,391.42,227.67,109,204, ,1,Y,3,0,45561600,61196400,45561600,61196400,1900,0,0, ,TRINITY CHURCH AND GRAVEYARD,0.16,10,15,15,1,1000490001,0,13,980907,197274,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,1315.616723,101840.922,15634800,15,0,10356,10357,457,102825,22.65555573,40.34555435,17.68999863,32.98562234,6.006081346,15074.42941 +10358,MN,483,15,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,520 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,520 BROADWAY COMPANY,5000,48235,48235,0,40957,7278,0,0,0,0,2,1,11,0,14,50,100,50,94, ,3,N,5,2,6525000,14451750,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,9.65,0,5,6.5,1,1004830015,0,45,984597,202560,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,310.3618863,5264.997665,7926750,0,0,10357,10358,23,5175,24.68222237,30.31444359,5.632221222,24.92710155,1.148585182,573.3233356 +10359,MN,407,7501,103,34,1000,1,2,10009,L011,9,14,6200,4,3, ,214 AVENUE A,C1-6A, , , , , , , , , ,N,RM,4,0,P,EAST COURT CONDO,4944,12961,3260,9701,0,3260,0,0,0,0,2,4,4,18,20,51.6,96,0,96, ,0,N,5,5,229500,1294650,7080,7080,1920,1986,0, , ,2.62,4,2,4,1,1004077501,338,34,989683,205187,12c, ,102 029,10203, ,1004070003,12/25/1986,1, , ,17V1.1,7,297.4528443,5033.451995,1065150,12,1,10358,10359,21,4725,11.62699986,19.6977787,8.070778847,12.95074604,2.549898772,271.9656668 +10360,MN,404,27,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,546 EAST 11 STREET,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,544 546 E 11 ST CORP,2370,8135,0,8135,0,0,0,0,0,0,2,1,5,10,10,25,94.75,25,78, ,2,N,5,2,92982,414083,21318,21318,1900,1986,0, , ,3.43,4,0,4,1,1004040027,0,34,989805,204300,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,247.6326491,2576.300767,321101,12,0,10359,10360,11,2475,12.25111103,13.56888866,1.317777634,12.60072691,0.316526525,138.607996 +10361,MN,283,54,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,126 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,126 EAST B'WAY CORP,1586,7356,2452,4904,0,1226,0,0,0,1226,2,1,5,8,10,25.17,63.33,25,50, ,3,Y,5,2,100688,313401,0,0,1910,0,0, , ,4.64,6.02,6,6.5,1,1002830054,0,6,986457,199438,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,184.7421788,1726.123492,212713,16,0,10360,10361,10,2250,35.5909996,35.5909996,0,35.5909996,0,355.909996 +10362,MN,281,1,103,27,1004,2,1,10038,E009,5,14,7800,1,3,1A,2 EAST BROADWAY,C6-1G, , , , , ,TA, , , ,N,O6,5,0,P,CCW REALTY LLC,3005,33234,33234,0,30229,3005,0,0,0,0,2,1,10,0,14,63.92,49.17,64,49, ,0,Y,3,5,553500,3444750,0,0,1900,0,0, , ,11.06,3.44,6,6.5,1,1002810001,0,27,984934,199264,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,236.7132177,3431.368361,2891250,16,0,10361,10362,17,3825,34.19499969,34.61277771,0.417778015,34.21957487,0.098300709,581.7327728 +10363,MN,576,66,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,49 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0, ,49 WEST 12TH TENANTS,9575,67421,7000,60421,7000,0,0,0,0,0,2,1,10,70,80,104,103.25,104,80, ,3,Y,5,2,931500,6220350,164401,164401,1952,1986,0,Greenwich Village Historic District, ,7.04,2.43,0,4.8,1,1005760066,0,63,985244,207309,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,415.0609831,10635.52536,5288850,8,0,10362,10363,48,10800,23.70299912,24.85866547,1.155666351,23.7270755,0.165059361,1138.899624 +10364,MN,376,32,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,91 AVENUE D,R8A, , , ,C1-5, , , , , ,N,S2,4,0,P,JADE REALTY GROUP LLC,994,3799,1000,2799,0,1000,0,0,0,0,2,1,4,2,3,25,39.75,25,39.75,E,0,N,3,5,16082,40518,0,0,1901,2011,0, , ,3.82,6,0,6,1,1003760032,0,2602,990699,202704,12c, ,102 023,10202,E-216,0, ,1, , ,17V1.1,0,138.9285127,1153.293344,24436,12,1,10363,10364,5,1125,7.864444256,10.84311104,2.978666782,8.460177612,1.191466713,42.30088806 +10365,MN,238,36,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,167 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,SHS REALTY LLC,2371,7464,1500,5964,0,1500,0,0,0,0,2,2,4,22,24,23.5,100,23,40, ,3,N,5,2,117000,1029150,0,0,1900,1988,0, , ,3.15,6.02,6,6.5,1,1002380036,0,41,985201,200827,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,255.0623631,2485.253466,912150,0,0,10364,10365,10,2250,31.90200043,35.81111145,3.909111023,32.29291153,1.172733307,322.9291153 +10366,MN,225,8,101,39,1021,2,1,10013,L008,1,15,7700,1,1, ,111 WATTS STREET,C6-2A, , , , , ,TMU, , , ,N,O6,5,0,P,REMAINDERMAN 205 HUDS,24675,321641,321641,0,292548,23641,0,5452,0,0,2,1,12,0,29,54.75,175.58,54,176, ,3,Y,3,2,2376000,26397000,0,0,1928,0,0, , ,13.04,6.02,6,6.5,1,1002250008,0,39,981911,202913,12a, ,101N040,10105, ,0, ,1, ,1,17V1.1,0,634.5710523,25244.6795,24021000,0,1,10365,10366,111,24975,8.35888958,10.17966652,1.820776939,8.380672343,0.180567187,930.2546301 +10367,MN,753,8,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,355 WEST 29 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,353 WEST ASSOCIATES,4345,14626,0,14626,0,0,0,0,0,0,2,2,5,13,13,44,98.75,44,84, ,0,N,5,1,225000,1300950,14160,14160,1900,1977,0,Lamartine Place Historic District, ,3.37,4,0,4,1,1007530008,0,97,984840,212590,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,292.2040603,4443.674227,1075950,6,0,10366,10367,19,4275,28.20800018,36.09777832,7.889778137,29.89643278,2.645355055,568.0322227 +10368,MN,451,51,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,321 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,321 EAST 9TH ST. LLC,2306,9495,1899,7596,0,1899,0,0,0,0,2,1,5,9,12,25,92.25,25,78, ,3,N,5,2,135000,690750,0,0,1900,0,0, , ,4.12,4,0,4,1,1004510051,0,40,988116,204842,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,243.2403423,2431.203224,555750,12,0,10367,10368,10,2250,23.62299919,27.06999969,3.447000504,23.96769924,1.034100151,239.6769924 +10369,MN,613,61,102,71,4000,2,3,10014,Q018,6,15,6100,1,2,2K,57 GREENWICH AVENUE,C2-6, , , , , , , , , ,N,C4,2,0,P,1 PERRY STREET LLC,1445,4940,750,4190,0,750,0,0,0,0,2,1,4,5,6,29.08,70,29,65,E,3,Y,3,5,160227,482583,0,0,1901,0,0,Greenwich Village Historic District, ,3.42,3.44,2,6.5,1,1006130061,0,71,983970,207410,12c,Y,103 015,10209, ,0, ,1, , ,17V1.1,0,191.1125734,1683.221709,322356,8,0,10368,10369,7,1575,23.14333344,23.14333344,0,23.14333344,0,162.003334 +10370,MN,527,80,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,273 AVENUE OF THE AMER,PARK, , , , , , , , , ,N,Q1,9,0,C,NYC PARKS,9737,1500,1500,0,0,0,0,0,0,1500,2,1,2,0,1,68,150,26,30, ,3,Y,3,2,1093500,1337850,1093500,1337850,1966,1985,0,Greenwich Village Historic District Exte, ,0.15,0,0,0,1,1005270080,0,67,983498,205166,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,561.4691202,10135.1898,244350,9,0,10369,10370,45,10125,15.38333321,18.44666672,3.063333511,17.20286416,1.07105307,774.1288872 +10371,MN,480,35,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,181 MOTT STREET,C6-1, , , , , ,LI, , , ,N,S4,4,0, ,CASA 181 L.L.C.,2500,9855,790,9065,0,790,0,0,0,0,2,1,5,4,5,25,100.17,25,83, ,3,Y,5,5,74269,271070,0,0,1910,0,0, , ,3.94,3.44,6,6.5,1,1004800035,0,41,985329,201845,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,257.1999333,2605.681223,196801,0,0,10370,10371,11,2475,33.11000061,33.11000061,0,33.11000061,0,364.2100067 +10372,MN,887,12,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,115 EAST 31 STREET,C4-5A, , , , , , , , , ,N,K9,5,0, ,GONG'S REALTY LLC,1325,3835,3835,0,3157,678,0,0,0,0,2,1,4,0,2,21.08,63.5,21.08,38, ,3,Y,5,2,253350,357300,0,0,1915,0,0, , ,2.89,4,4,4,1,1008870012,0,72,989293,210691,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,180.9817517,1510.036386,103950,10,0,10371,10372,8,1800,29.31800079,29.31800079,0,29.31800079,0,234.5440063 +10373,MN,863,74,105,74,1002,2,4,10016,L024,14,15,5200,1,5,2B,14 EAST 34 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,METRON DEVELOPMENT LL,1868,6952,6952,0,5152,1800,0,0,0,0,2,1,5,0,5,18.92,98.75,19,98,E,2,N,5,0,304200,521100,0,0,1920,1987,0, , ,3.72,10,10,10,1,1008630074,0,74,988712,211738,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,250.0085803,1881.341791,216900,10,0,10372,10373,8,1800,48.35488892,54.23666763,5.881778717,53.240973,1.908036576,425.927784 +10374,MN,569,21,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,94 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,K4,4,0, ,JENIE LAZZARA TRUST,1090,4348,2184,2164,0,2184,0,0,0,0,2,1,4,3,5,40.25,27.25,40.25,27, ,3,Y,3,2,184050,1202850,0,0,1900,1988,0, , ,3.99,6.02,2,6.5,1,1005690021,0,61,986178,206649,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,139.6243984,1187.68457,1018800,8,0,10373,10374,6,1350,34.37900162,37.49988937,3.120887756,34.89914958,1.163086196,209.3948975 +10375,MN,790,55,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,132 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,132132 COMPANY,2581,10076,0,10076,0,0,0,0,0,0,2,1,5,21,21,25,103.25,25,78, ,3,N,5,2,202950,1385550,0,0,1920,1987,0, , ,3.9,4,0,4,1,1007900055,0,81,984821,208321,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,261.4800213,2651.563025,1182600,7,0,10374,10375,13,2925,27.73777771,30.9822216,3.244443893,27.98735032,0.864544872,363.8355541 +10376,MN,394,50,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,635 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,REHABILITATION ACTNET,2581,11472,0,11472,0,0,0,0,0,0,2,1,6,11,11,25,103.25,25,90, ,0,N,5,5,90000,1215000,0,1120500,1900,1993,0, , ,4.44,4,0,4,1,1003940050,0,28,990426,204136,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,264.9905265,2712.861843,1125000,12,1,10375,10376,13,2925,6.934999943,9.823332787,2.888332844,7.387179448,0.896213002,96.03333282 +10377,MN,819,32,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B, WEST 17 STREET,C6-4A, , , , , , , , , ,N,G6,10,0, ,7 W 17 ST PARK CORP.,3496,0,0,0,0,0,0,0,0,0,7,1,0,0,0,38,92,0,0, ,0,N,5,5,439200,439200,0,0,0,0,0,Ladies' Mile Historic District, ,0,10,10,10,1,1008190032,0,54,986238,208294,8d, ,102 041,10306,E-131,0, ,1, , ,17V1.1,0,275.0826511,3830.553238,0,7,0,10376,10377,17,3825,35.39110947,41.47888947,6.087779999,39.77783001,1.489191168,676.2231102 +10378,MN,400,38,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,60 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,60 AVENUE B LLC,2400,11469,800,10669,0,800,0,0,0,0,2,1,6,22,23,24,100,24,86, ,2,N,5,2,235350,1761300,0,0,1900,1986,0, , ,4.78,4,0,4,1,1004000038,0,32,989070,202902,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,253.5102917,2499.858543,1525950,1,0,10377,10378,12,2700,15.8922224,17.67000008,1.777777672,16.3262039,0.751826399,195.9144468 +10379,MN,805,97,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,355 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0,P,355 SEVENTH AVENUE HO,3576,10500,10500,0,3500,7000,0,0,0,0,2,3,3,0,10,46.67,75,46.67,75, ,3,Y,3,2,580500,3394350,0,0,1920,1985,0, , ,2.94,0,10,10,1,1008050097,0,95,986389,211877,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,253.5035718,3676.300629,2813850,6,0,10378,10379,16,3600,34.63499832,35.53555298,0.900554657,34.72680402,0.249894037,555.6288643 +10380,MN,508,41,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,241 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,WING YUEN RLTY INC,2091,5658,1418,4240,0,1418,0,0,0,0,2,1,5,8,9,23.17,90.25,23,46, ,3,Y,5,2,49009,203175,0,0,1910,1987,2005, , ,2.71,6.02,6,6.5,1,1005080041,0,43,985867,202799,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,233.389903,2163.564837,154166,9,0,10379,10380,9,2025,43.06000137,48.50666809,5.446666718,43.66518656,1.711722209,392.9866791 +10381,MN,824,35,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,1 WEST 22 STREET,C6-4M, , , , , , , , , ,N,O5,5,0, ,"ANDEAN, L L C",1978,5925,5925,0,3950,1975,0,0,0,0,2,1,3,0,3,20,98.75,20,99, ,3,N,5,2,267750,807750,0,0,1910,1987,0,Ladies' Mile Historic District, ,3,10,10,10,1,1008240035,0,58,986899,209345,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,246.620918,2065.615015,540000,2,0,10380,10381,10,2250,34.46500015,34.46500015,0,34.46500015,0,344.6500015 +10382,MN,164,22,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,81 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,YEE FONG TOY ASSOCIAT,1874,9750,3250,6500,1625,1625,0,0,0,0,2,1,6,10,13,25,75,25,65, ,3,N,5,2,103050,360000,0,0,1915,0,0, , ,5.2,3.44,6,6.5,1,1001640022,0,29,984562,199981,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,203.4179936,1864.132469,256950,14,0,10381,10382,8,1800,24.29500008,27.09722328,2.802223206,24.68326402,0.917797084,197.4661121 +10383,MN,210,4,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,342 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K2,5,0, ,342 CANAL STREET REAL,1363,2726,2726,0,1363,1363,0,0,0,0,2,1,2,0,4,25.92,58,26,58, ,3,Y,5,2,258750,448650,0,0,1987,0,0,Tribeca East Historic District, ,2,6.02,6,6.5,1,1002100004,0,33,983280,201687,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,171.7679263,1596.122628,189900,0,1,10382,10383,8,1800,11.52333355,12.33199978,0.808666229,12.06974995,0.310400017,96.55799961 +10384,MN,397,25,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,185 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,C6,2,0,P,185 EAST 2 STREET HDF,2940,13524,0,13524,0,0,0,0,0,0,2,1,6,23,23,28,105.42,28,92, ,3,Y,5,2,180000,888750,180000,650148,1915,1988,1998, , ,4.6,4,0,4,1,1003970025,0,3002,988579,202379,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,271.900391,2974.096112,708750,1,0,10383,10384,14,3150,19.55999947,22.29888916,2.738889694,19.90920585,0.862586798,278.7288818 +10385,MN,834,57,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,18 WEST 33 STREET,C6-4, , , , , , , , , ,N,O6,5,0,P,20 WEST 33RD STREET P,14812,153265,153265,0,134265,19000,0,0,0,0,2,2,11,0,35,150,98.75,25,99, ,3,N,5,2,6840000,15085800,0,0,1912,0,0, , ,10.35,10,10,10,1,1008340057,0,76,987983,211849,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,510.948104,15841.13372,8245800,10,0,10384,10385,70,15750,45.84899902,47.48222351,1.633224487,45.96971664,0.384468575,3217.880165 +10386,MN,404,39,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,331 EAST 10 STREET,R8B, , , , , , , , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,4796,9042,9042,0,0,0,0,0,0,9042,2,1,3,0,1,50.5,94.75,51,85, ,3,N,5,2,239400,914400,239400,914400,1904,0,0,East 10th Street Historic District,"NEW YORK PUBLIC LIBRARY, TOMPKINS S",1.89,4,0,4,1,1004040039,0,34,989682,204257,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,296.4029275,4938.575208,675000,12,0,10385,10386,24,5400,12.53199959,15.06111145,2.529111862,12.63737925,0.5053831,303.297102 +10387,MN,618,10,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,244 WEST 14 STREET,C6-2A, , , , , , , , , ,N,K2,5,0, ,14 COMPANY,5163,10300,10300,0,0,10300,0,0,0,0,2,1,2,0,3,50,103.25,50,103.25, ,3,N,5,1,540000,3012750,0,0,1920,1987,0, , ,1.99,6.02,6,6.5,1,1006180010,0,77,983699,208592,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,313.50481,5338.850658,2472750,8,0,10386,10387,24,5400,22.30444527,23.26000023,0.955554962,22.37787104,0.215714808,537.0689049 +10388,MN,592,71,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,365 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,M1,8,0, ,RC CHUR ST JOSEPH,6725,16625,16625,0,16625,0,0,0,0,0,2,1,2,0,1,66,102,65,102, ,3,N,3,2,1138500,1939950,0,0,1915,0,0,Greenwich Village Historic District, ,2.47,3.44,0,6.5,1,1005920071,0,71,984056,206186,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,333.528769,6741.532949,801450,9,0,10387,10388,30,6750,17.50333405,17.50333405,0,17.50333405,0,525.1000214 +10389,MN,304,30,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,85 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,WAI-LOON INC,2470,11178,1863,9315,0,1863,0,0,0,0,2,1,6,20,21,24.58,100,25,85, ,3,N,5,2,135000,515250,0,0,1910,1980,0, , ,4.53,3.44,6,6.5,1,1003040030,0,16,985774,200697,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,259.4139893,2629.072762,380250,0,0,10388,10389,12,2700,34.17111206,34.17111206,0,34.17111206,0,410.0533447 +10390,MN,540,6,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,114 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,PAUL GIAMPIERI,2500,11994,1900,10094,0,1900,0,0,0,0,2,1,6,22,23,25,100,25,90, ,3,N,5,2,272250,1292850,0,0,1900,0,0,South Village Historic District, ,4.8,3.44,0,6.5,1,1005400006,0,65,984113,205096,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,256.3043346,2578.798998,1020600,9,0,10389,10390,11,2475,22.5755558,22.5755558,0,22.5755558,0,248.3311138 +10391,MN,823,7505,105,58,1009,2,3,10010,E014,13,15,5700,1,5, ,52 WEST 22 STREET,C6-4A, , , , , , , , , ,N,R1,2,0, , ,2239,6225,0,6225,0,0,0,0,0,0,2,1,5,5,5,22.67,98.75,0,0, ,0,N,0,5,136862,901258,2360,2360,1851,2007,2007,Ladies' Mile Historic District, ,2.78,10,10,10,1,1008237505,1856,58,986269,209514,8d, ,102 042,10306, ,1008230071,6/6/2008,1, , ,17V1.1,7,247.4386247,2312.194637,764396,7,0,10390,10391,11,2475,33.74333191,35.38666534,1.643333435,34.02777654,0.60433508,374.305542 +10392,MN,564,11,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,52 EAST 13 STREET,C6-1, , , , , , , , , ,N,D5,3,0,P,52 E LLC,5170,34708,17004,17704,4692,12312,0,0,0,0,2,2,7,21,27,50,110.58,26,90, ,3,Y,5,2,371700,2876400,0,0,1930,1989,0, , ,6.71,3.44,6,6.5,1,1005640011,0,61,986529,206721,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,313.7105788,5293.811327,2504700,8,0,10391,10392,23,5175,38.11633301,40.74777603,2.631443024,38.34438125,0.738965409,881.9207687 +10393,MN,859,6,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,3 EAST 29 STREET,C5-2, , , , , , , , , ,N,M1,8,0,X,"THE RECTOR, CHURCH WA",15725,6750,6750,0,0,0,0,0,0,6750,2,1,4,1,3,150,98.75,150,96, ,2,N,5,2,2700000,4221900,2700000,4221900,1915,0,0, ,CHURCH OF THE TRANSFIGURATION (LITT,0.43,10,10,10,1,1008590006,0,74,988155,210755,8d, ,104 017,10306, ,1008590012,10/31/2005,1, , ,17V1.1,0,548.0961104,16509.62681,1521900,11,0,10392,10393,74,16650,40.46888733,43.27555466,2.806667328,41.10494933,0.741627306,3041.766251 +10394,MN,558,44,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,115 EAST 12 STREET,C6-2A, , , , , , , , , ,N,D5,3,0,P,121 EAST 12TH STREET,8260,41750,0,41750,0,0,0,0,0,0,2,1,7,69,69,80,103,80,98, ,3,N,5,2,1782000,5840100,0,0,1900,1986,0, , ,5.05,6.02,6,6.5,1,1005580044,0,42,987301,206171,12c, ,102 025,10207, ,1005580044,12/7/1987,1, , ,17V1.1,0,369.3833265,8374.248424,4058100,12,0,10393,10394,39,8775,38.19900131,41.0633316,2.864330292,38.30908663,0.490737354,1494.054379 +10395,MN,575,11,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,472 AVENUE OF THE AMER,C1-7,C1-6, , , , , , , , ,Y,D8,3,0, ,12TH AMERICAS CO,7272,34485,5582,28903,0,5582,0,0,0,0,2,1,7,41,47,109.33,69,94,66, ,2,Y,3,2,828000,5014350,0,0,1957,0,0,Greenwich Village Historic District, ,4.74,6.02,2,6.5,1,1005750011,0,63,984888,207319,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,361.1040109,7353.215995,4186350,8,0,10394,10395,32,7200,23.86555481,24.48999977,0.624444962,24.38947898,0.130520225,780.4633274 +10396,MN,521,79,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,306 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,K4,4,0, ,SMCS INC,2162,4816,3066,1750,0,3066,0,0,0,0,2,1,4,2,3,24.5,88.25,24.5,75,E,0,N,5,5,194400,675900,0,0,1900,1968,2003,Noho East Historic District, ,2.23,3.44,6,6.5,1,1005210079,0,5502,986263,203363,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,229.0617837,2059.536909,481500,9,0,10395,10396,9,2025,43.41222,43.41222,0,43.41222,0,390.70998 +10397,MN,176,18,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,40 LEONARD STREET,C6-4,C6-2A, , , , ,TMU, , , ,Y,W8,8,0,P,NEW YORK LAW SCHOOL,24079,235000,235000,0,0,0,0,0,0,235000,2,1,9,0,1,200.83,100,0,0, ,0,Y,3,5,2967750,95863050,2967750,95863050,2006,0,0, , ,9.76,10,10,10,1,1001760018,0,33,982378,200798,12a, ,101S036,10105, ,1001760025,4/16/2007,1, , ,17V1.1,0,863.0856872,24951.12633,92895296,14,1,10396,10397,110,24750,11.36777782,19.5933342,8.225556374,13.91502439,1.380007455,1530.652683 +10398,MN,921,9,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,313 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,C5,2,0, ,"ROSE GROUP, LLC",2401,5729,500,5229,0,500,0,0,0,0,2,1,4,12,13,23.25,103.25,23,56,E,3,N,5,1,90450,1201500,0,0,1910,1978,0, , ,2.39,4,2,4,1,1009210009,0,48,988649,206080,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,259.5917669,2435.151732,1111050,12,0,10397,10398,12,2700,22.90500069,25.70222282,2.797222137,23.89884313,1.224218514,286.7861176 +10399,MN,478,21,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,6 SPRING STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,"FAV SPRING, LLC",2376,9435,1375,8060,0,1375,0,0,0,0,2,1,5,18,20,25.17,102.25,25,76, ,3,Y,5,2,90900,1350900,0,0,1900,2016,2015, , ,3.97,6.02,6,6.5,1,1004780021,0,41,985798,201945,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,246.7539006,2430.745078,1260000,0,0,10398,10399,10,2250,38.05444717,41.28110886,3.226661682,38.37711334,0.967998505,383.7711334 +10400,MN,886,78,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,116 EAST 31 STREET,C4-5A, , , , , , , , , ,N,C5,2,0, ,116 E. 31ST STREET RE,2024,3811,0,3811,0,0,0,0,0,0,2,1,4,7,7,20.5,98.75,21,52,E,3,N,5,2,105549,408422,0,0,1910,0,0, , ,1.88,4,4,4,1,1008860078,0,72,989244,210562,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,247.6433593,2252.631853,302873,10,0,10399,10400,9,2025,33.23199844,33.54666519,0.314666748,33.27594927,0.098980013,299.4835434 +10401,MN,281,57,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,15 DIVISION STREET,C6-1G, , , , , , , , , ,N,O6,5,0,P,HENRY MULBERRY RLTYCO,1761,11271,11271,0,9661,1610,0,0,0,0,2,1,7,0,6,25,70.5,25,70, ,0,Y,5,5,196650,922950,0,0,1912,1983,0, , ,6.4,3.44,6,6.5,1,1002810057,0,8,985163,199375,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,194.6517982,1798.535247,726300,16,0,10400,10401,7,1575,35.10200119,38.97999954,3.877998352,35.65600095,1.357016741,249.5920067 +10402,MN,883,44,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,376 3 AVENUE,R8B,C2-8, , , , , , , , ,Y,D6,4,0, ,145 EAST 27TH STREETC,16800,175110,16110,159000,0,6110,10000,0,0,0,2,1,15,174,177,24.67,260,99,80, ,3,Y,3,2,3906000,17839800,0,0,1964,1988,0, , ,10.42,4,0,4,1,1008830044,0,68,989274,209537,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,734.760978,17938.54166,13933800,11,0,10401,10402,80,18000,33.40789032,39.41899872,6.011108398,38.30267282,2.285782178,3064.213825 +10403,MN,776,58,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,234 WEST 27 STREET,C6-2A, , , , , , , , , ,N,S9,4,0, ,KREINE REALTY CORP,2384,7905,2330,5575,0,2330,0,0,0,0,2,1,5,5,7,24.83,98.75,24.83,94,E,2,N,5,2,62876,605942,0,0,1920,2009,0, , ,3.32,6.02,6,6.5,1,1007760058,0,95,985466,211477,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,259.6821438,2583.279707,543066,2,0,10402,10403,11,2475,26.70400047,28.21488953,1.510889053,26.84135402,0.434350064,295.2548943 +10404,MN,907,4,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,365 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,ANIRAM REALTY CORP.,2667,9885,1990,7895,0,1990,0,0,0,0,2,1,5,12,13,24.67,108,25,94, ,3,N,5,2,258750,1070550,0,0,1940,0,0, , ,3.71,10,2,10,1,1009070004,0,66,989451,209198,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,275.1277526,2820.538305,811800,11,0,10403,10404,12,2700,35.85699844,35.85699844,0,35.85699844,0,430.2839813 +10405,MN,796,48,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,120 WEST 21 STREET,C6-3A, , , , , , , , , ,N,D8,3,0, ,UDR CHELSEA LLC,21344,174621,16100,158521,800,1000,14300,0,0,0,2,1,14,210,213,232,92,231,62, ,1,N,5,0,2970000,34887600,0,0,2000,0,0, , ,8.18,7.52,6,7.5,1,1007960048,0,87,985667,209557,8d, ,103 030,10305,E-92,1007960048,9/27/2000,1, , ,17V1.1,0,655.4881347,22103.58717,31917600,7,0,10404,10405,98,22050,28.3488884,33.47333145,5.124443054,28.67303354,1.131773027,2809.957287 +10406,MN,451,19,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,216 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,216 E 10TH ST CORP,4612,19934,3322,16612,0,3322,0,0,0,0,2,1,6,28,30,50,92.25,50,80, ,3,N,5,2,411300,2142000,0,0,1900,0,0, , ,4.32,4,0,4,1,1004510019,0,40,988152,204931,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,288.7890621,4699.469314,1730700,12,0,10405,10406,22,4950,23.10400009,26.22888947,3.124889374,23.24604052,0.650911004,511.4128914 +10407,MN,461,11,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,206 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,LEAMAS REALTY LLC,2425,9568,1914,7654,0,1914,0,0,0,0,2,1,5,18,20,25,97,25,75, ,3,N,5,2,309600,1310400,0,0,1920,0,0, , ,3.95,4,0,4,1,1004610011,0,38,986913,204486,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.2899916,2528.63053,1000800,1,0,10406,10407,11,2475,36.55199814,40.57333374,4.021335602,37.03595803,1.179003291,407.3955383 +10408,MN,746,3,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,202 9 AVENUE,R7B, , , ,C1-5, , , , , ,N,S4,4,0,P,SECOND OLD NEW YORKCP,2475,7256,1200,6056,0,1200,0,0,0,0,2,1,5,4,5,24.67,100,24.67,56,E,0,N,5,5,264761,612947,0,0,1910,0,0,Chelsea Historic District Extension, ,2.93,3,0,3,1,1007460003,0,93,983878,211033,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,247.2919657,2405.657965,348186,2,0,10407,10408,12,2700,15.97222233,17.37999916,1.407776833,16.08953706,0.389088962,193.0744448 +10409,MN,402,39,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,102 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,102 AVE B HOUS DEVELO,1654,7527,500,7027,0,500,0,0,0,0,2,1,6,5,6,24.67,70,24.67,60, ,0,Y,5,5,114061,514098,114061,514098,1900,1994,0, , ,4.55,4,0,4,1,1004020039,0,32,989344,203365,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,195.2758452,1734.824222,400037,12,0,10408,10409,8,1800,12.85000038,12.85000038,0,12.85000038,0,102.8000031 +10410,MN,27,7502,101,7,1022,2,1,10004,L015,1,15,7700,1,1, ,20 EXCHANGE PLACE,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,TWENTY EXCHANGE PLACE,24524,724299,289022,435277,252136,36886,0,0,0,0,2,1,57,350,352,223,209,223.08,53.33, ,0,Y,3,5,14400000,82446300,0,14327282,1929,2009,0, ,CITY BANK-FARMERS TRUST COMPANY BUI,29.53,10,15,15,1,1000277502,1991,7,981597,196295,12b, ,101S006,10101, ,1000270027,2/24/2009,1, , ,17V1.1,7,682.8189537,26353.68842,68046304,17,0,10409,10410,117,26325,15.49888897,19.48888969,3.990000725,16.03513339,0.751634023,1876.110606 +10411,MN,436,39,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,115 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,AVENUE A SCHNEIDER PA,3522,13976,2329,11647,0,2329,0,0,0,0,2,1,6,22,24,37.5,93.92,38,80, ,3,N,5,2,675000,2514600,0,0,1900,1986,0, , ,3.97,4,0,4,1,1004360039,0,32,988789,204184,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,260.6040212,3462.936429,1839600,12,0,10410,10411,16,3600,17.84799957,18.20777893,0.359779358,17.87048578,0.087088716,285.9277725 +10412,MN,507,40,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,248 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0, ,FELIX & ALEX REALTYCO,1976,4954,4954,0,2324,2630,0,0,0,0,2,1,3,0,4,21.25,93,22,60,E,3,N,5,2,146250,640800,0,0,1920,1974,0, , ,2.51,3.44,6,6.5,1,1005070040,0,43,986072,202666,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,239.533692,2007.959958,494550,9,0,10411,10412,9,2025,44.71333313,44.71333313,0,44.71333313,0,402.4199982 +10413,MN,199,5,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,87 BAXTER STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,87 BAXTER STREET REAL,2500,14400,2400,12000,0,2400,0,0,0,0,2,1,6,15,16,25,100,25,72, ,2,N,5,2,168750,894150,0,0,1915,1988,0, , ,5.76,3.44,6,6.5,1,1001990005,0,29,984378,200394,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,259.2090239,2593.449444,725400,14,0,10412,10413,12,2700,21.12555504,22.37599945,1.250444412,22.27179575,0.345604578,267.261549 +10414,MN,632,151,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,543 HUDSON STREET,C1-6, , , , , , , , , ,N,S1,4,0,P,HOPE AUGUSTINE,1364,3344,836,2508,0,836,0,0,0,0,2,1,4,1,2,18.75,79.17,19,44, ,3,Y,5,5,48423,170436,0,0,1900,1980,2005,Greenwich Village Historic District, ,2.45,3.44,2,6.5,1,1006320151,0,75,982474,206994,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,192.9683563,1382.128505,122013,9,0,10413,10414,5,1125,19.34666634,21.46222305,2.115556717,19.76977768,0.846222687,98.8488884 +10415,MN,626,51,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,43 JANE STREET,R6,C1-6, , , , , , , , ,Y,C4,2,0, ,MICHAEL REALTY LLC,2319,8965,0,8965,0,0,0,0,0,0,2,1,5,18,18,26.5,87.5,25,77, ,3,N,5,2,495000,1861200,0,0,1900,1985,0,Greenwich Village Historic District, ,3.87,2.43,0,4.8,1,1006260051,0,77,982941,208267,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,233.4800592,2368.20597,1366200,8,0,10414,10415,6,1350,17.68444443,18.9711113,1.28666687,17.89888891,0.479512431,107.3933334 +10416,MN,377,8,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,124 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,HERMAN REALTY LLC,1330,3895,1000,2895,0,1000,0,0,0,0,2,1,4,3,4,19,70,19,42,E,0,N,3,5,3234,22512,0,0,1900,0,0, , ,2.93,4,0,4,1,1003770008,0,2602,990279,203233,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,189.7649588,1543.493027,19278,12,1,10415,10416,7,1575,7.409999847,8.54888916,1.138889313,7.755396775,0.446663795,54.28777742 +10417,MN,885,74,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,126 EAST 30 STREET,C4-5A, , , , , , , , , ,N,C6,2,0,P,126 E 30 ST OWNERS IN,3525,6880,0,6880,0,0,0,0,0,0,2,1,3,16,16,35.67,98.75,35.67,44,E,3,N,5,1,158850,702000,9440,9440,1900,1987,0, , ,1.95,4,4,4,1,1008850074,0,72,989185,210299,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,273.0016229,3559.221753,543150,10,0,10416,10417,17,3825,32.73666763,33.47333145,0.736663818,32.90647058,0.202437051,559.4099998 +10418,MN,311,13,103,14.01,1000,2,1,10002,E015,7,14,7400,1,3,1B,357 GRAND STREET,R8, , , ,C1-5,C2-5, , , , ,Y,D4,3,0,P,SEWARD PARK HOUSING C,293600,1025341,85257,940084,0,46557,38700,0,0,0,2,4,21,866,893,641.33,650,170,224, ,1,Y,3,5,8955000,59534550,3360548,3360548,1960,2013,0, , ,3.49,6.02,0,6.5,1,1003110013,0,1401,987555,199917,12d,Y,101N052,10107, ,0, ,1, , ,17V1.1,0,2990.077847,291838.9208,50579600,13,0,10417,10418,1293,290925,24.7733345,37.0988884,12.32555389,32.51970829,1.730202222,42047.98281 +10419,MN,349,15,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,157 STANTON STREET,R7A, , , , , , , , , ,N,C4,2,0,P,PSA LESAGE L.L.C.,2504,8255,0,8255,0,0,0,0,0,0,2,1,5,20,20,25,100.17,25,62, ,3,N,5,2,180000,634500,0,0,1910,1985,0, , ,3.3,4,0,4,1,1003490015,0,3001,988397,201659,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,257.8442698,2777.177918,454500,1,0,10418,10419,12,2700,24.4422226,26.04888916,1.606666565,24.79579671,0.588433036,297.5495605 +10420,MN,407,18,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,520 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,520 EAST 14 LLC,5163,21007,2000,19007,0,2000,0,0,0,0,2,1,6,44,46,50,103.25,50,84, ,3,N,5,2,348300,3444300,0,0,1900,2008,1986, , ,4.07,4,2,4,1,1004070018,0,34,989961,205123,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,316.2809801,5453.429504,3096000,12,1,10419,10420,24,5400,11.62699986,14.7966671,3.169667244,11.93585638,0.88256415,286.4605532 +10421,MN,622,67,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,81 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,MZURI PRIDE CO LLC,2576,9050,0,9050,0,0,0,0,0,0,2,1,5,17,17,27,95.42,27,80, ,3,N,5,1,315000,2140650,0,0,1901,0,0,Greenwich Village Historic District, ,3.51,3.44,2,6.5,1,1006220067,0,73,982979,207260,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,252.0619909,2797.87181,1825650,8,0,10420,10421,12,2700,24.5988884,26.4477787,1.848890305,24.88518476,0.642411951,298.6222172 +10422,MN,386,1,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,37 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,37 AVENUE B HSG ETAL,4664,9617,2000,7617,0,0,0,0,0,2000,2,1,4,6,7,48.08,97,48,97,E,3,N,3,2,20621,280625,0,0,1920,0,0, , ,2.06,4,0,4,1,1003860001,0,2601,989065,202573,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,300.5378387,5079.151575,260004,1,0,10421,10422,22,4950,14.43666649,20.1044445,5.667778015,14.96435343,1.613199935,329.2157755 +10423,MN,744,10,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,353 WEST 20 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,"ITKIN, MARK",1702,3884,0,3884,0,0,0,0,0,0,2,1,3,7,7,23,74,23,39, ,3,N,5,1,79826,372641,0,0,1900,0,0,Chelsea Historic District, ,2.28,3,0,3,1,1007440010,0,89,983723,210517,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,202.1807017,1770.278695,292815,7,0,10422,10423,8,1800,15.84222221,17.17666626,1.334444046,16.12041664,0.426939904,128.9633331 +10424,MN,543,58,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,129 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0,P,129 MACDOUGAL STREET,1282,3173,1495,1678,0,1495,0,0,0,0,2,1,2.75,2,3,19.5,65.75,19.5,40, ,3,N,5,2,110851,254344,0,0,1901,0,0,South Village Historic District,129 MACDOUGAL STREET HOUSE,2.48,3.44,0,6.5,1,1005430058,0,65,984208,205486,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,175.5619372,1350.016405,143493,9,0,10423,10424,6,1350,18.49900055,18.49900055,0,18.49900055,0,110.9940033 +10425,MN,421,75,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,46 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,JIM J PENDER,4500,18120,0,18120,0,0,0,0,0,0,2,1,5,24,24,60,75,60,62, ,3,N,5,2,315000,785250,315000,536274,1920,1983,0, , ,4.03,4,4,4,1,1004210075,0,3601,986799,201955,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,279.1993923,4775.930044,470250,13,0,10424,10425,22,4950,39.88000107,41.03555679,1.155555725,40.04540478,0.348940414,880.9989052 +10426,MN,405,33,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,188 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,188 AVE B NY LLC,1810,4280,800,3480,0,800,0,0,0,0,2,1,5,4,5,20,90.5,20,54, ,3,N,5,5,46914,67765,0,0,1930,0,0, , ,2.36,4,0,4,1,1004050033,0,34,989954,204491,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,225.6715132,1856.696956,20851,12,1,10425,10426,9,2025,11.72555542,13.51444435,1.788888931,12.41456774,0.787698004,111.7311096 +10427,MN,542,36,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,9 MINETTA STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0,P,WEST VILLAGE-MINETTA,1650,7128,0,7128,0,0,0,0,0,0,2,1,5,20,20,29.58,73.17,28,50, ,3,Y,5,2,131850,675450,0,0,1920,0,0,South Village Historic District, ,4.32,3.44,0,6.5,1,1005420036,0,65,983907,205164,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,186.0333545,1589.762514,543600,9,0,10426,10427,7,1575,18.38111115,20.06999969,1.68888855,18.62238094,0.590987883,130.3566666 +10428,MN,345,10,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,172 ATTORNEY STREET,R8A, , , , , , , , , ,N,C4,2,0, ,172 ATTORNEY STREET L,1200,5040,800,4240,0,800,0,0,0,0,2,1,5,8,10,24,50,24,42, ,3,N,5,2,76276,167081,0,0,1920,1986,0, , ,4.2,6,0,6,1,1003450010,0,2201,988955,201887,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,146.1830348,1142.892703,90805,1,0,10427,10428,5,1125,18.41222191,18.41222191,0,18.41222191,0,92.06110954 +10429,MN,162,56,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,12 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0,P,"TAI HO-ONE REALTY, L",1507,5763,5763,0,2749,3014,0,0,0,0,2,1,4,1,5,22.17,100,22,100, ,0,Y,5,2,177750,722700,0,0,1915,0,0, , ,3.82,3.44,6,6.5,1,1001620056,0,29,984915,199575,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,234.6410205,1457.717303,544950,16,0,10428,10429,7,1575,39.70399857,39.70399857,0,39.70399857,0,277.92799 +10430,MN,390,57,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,197 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"ATK SISTERS, LLC",1600,5320,700,4620,0,700,0,0,0,0,2,1,5,10,11,20,80.83,20,69, ,3,Y,5,2,25650,582750,0,0,1910,0,0, , ,3.33,4,0,4,1,1003900057,0,2602,989730,203367,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,206.3974089,1730.228391,557100,12,1,10429,10430,9,2025,9.445555687,9.590000153,0.144444466,9.461605072,0.045394516,85.15444565 +10431,MN,547,1,102,59,3002,2,1,10003,E033,6,15,5700,1,2,2A,32 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,17859,180000,180000,0,0,0,0,0,0,180000,2,1,10,0,1,180.08,99.17,180.08,99, ,0,N,3,2,3802500,14449950,3802500,14449950,1900,1922,0, , ,10.08,3.44,0,6.5,1,1005470001,0,59,985470,205357,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,591.8861215,19760.41049,10647500,9,0,10430,10431,88,19800,31.66888809,32.9066658,1.23777771,31.69353203,0.163248407,2789.030819 +10432,MN,860,10,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,11 EAST 30 STREET,C5-2, , , , , , , , , ,N,S4,4,0, ,"1130 EMPIRE HOLDINGS,",1820,9807,2000,7807,0,2000,0,0,0,0,2,1,6,4,5,21.42,85,21,63,E,3,N,5,5,91939,964623,0,0,1910,2005,0, , ,5.39,10,10,10,1,1008600010,0,74,988287,210967,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,217.5611466,1870.803088,872684,10,0,10431,10432,9,2025,37.50888824,40.63000107,3.121112823,37.85567856,0.98087113,340.701107 +10433,MN,214,4,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,403 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D1,3,0, ,403 GREENWICH ENTERPR,2489,13887,0,13887,0,0,0,0,0,0,2,1,9,4,4,25,100,25,70, ,0,Y,5,5,139950,889650,0,0,2015,0,0,Tribeca West Historic District, ,5.58,6.02,6,6.5,1,1002140004,0,39,981568,201950,12a, ,101N039,10105,E-257,0, ,1, , ,17V1.1,0,260.6324425,2616.770156,749700,14,1,10432,10433,12,2700,12.28499985,12.28499985,0,12.28499985,0,147.4199982 +10434,MN,693,44,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,520 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,S2,4,0, ,MICHAEL WEINSTEIN,4937,11450,5000,6450,0,5000,0,0,0,0,2,1,4,2,3,50,98.75,50,98.75,E,3,N,5,5,217832,543640,0,0,1900,0,0, , ,2.32,0,5,6.5,1,1006930044,0,99,982659,211514,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,304.5588659,5110.118393,325808,7,1,10433,10434,24,5400,6.691111088,8.338889122,1.647778034,6.8110648,0.402361438,163.4655552 +10435,MN,850,28,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,41 EAST 21 STREET,M1-5M, , , , , , , , , ,N,G9,7,0, ,"22 PARK 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,3,N,5,2,35284,145152,1550,1550,1901,0,0,Greenwich Village Historic District Exte, ,2.14,2.43,0,4.8,1,1005860003,0,67,983131,205354,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,161.998273,1176.134095,109868,9,0,10436,10437,5,1125,15.38333321,15.38333321,0,15.38333321,0,76.91666603 +10438,MN,797,76,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,162 WEST 22 STREET,R8A,C6-3A, , ,C2-5, , , , , ,Y,D4,3,0, ,166 WEST 22 ST OWNER,6180,31759,0,31759,0,0,0,0,0,0,2,1,6,42,42,75,85.5,75,71, ,2,Y,5,2,481500,3272850,51046,51046,1950,1988,0, , ,5.14,6,0,6,1,1007970076,0,87,985409,210002,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,318.1979191,6098.232069,2791350,7,0,10437,10438,27,6075,28.16444397,29.19000053,1.025556564,28.21777739,0.206086227,761.8799896 +10439,MN,429,9,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,26 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,DROBENKO NICHOLAS,3256,16924,2821,14103,0,2821,0,0,0,0,2,1,6,20,23,44,74,41,70, ,3,Y,3,2,374400,1084950,0,0,1920,0,0, , 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,101N070,10206, ,0, ,1, , ,17V1.1,0,279.0893673,2916.258786,370952,0,0,10440,10441,12,2700,14.17000008,14.17000008,0,14.17000008,0,170.0400009 +10442,MN,179,21,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,10 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,ORGONIC FORMS INC,4496,29610,1082,28528,1082,0,0,0,0,0,2,1,7,16,17,50.08,100,50,97, ,3,Y,5,2,225000,2530350,63205,63205,1920,1989,0,Tribeca West Historic District, ,6.59,6.02,6,6.5,1,1001790021,0,33,981961,201075,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,303.8031083,4594.296711,2305350,14,1,10441,10442,21,4725,10.17444515,13.10333347,2.928888321,10.31391602,0.623732703,216.5922365 +10443,MN,588,50,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,112 CHRISTOPHER STREET,R6, , , , , , , , , ,N,S3,4,0,P,RODA REAL ESTATE CORP,2390,5043,1140,3903,0,1140,0,0,0,0,2,1,3,3,4,25.33,92.83,25,97, ,3,Y,5,5,280748,642622,0,0,1910,0,0,Greenwich Village Historic District, ,2.11,2.43,0,4.8,1,1005880050,0,73,982818,206348,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,253.2922514,2619.312095,361874,9,0,10442,10443,11,2475,20.90555573,20.90555573,0,20.90555573,0,229.961113 +10444,MN,423,22,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,117 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,O5,5,0,C,DCAS,7512,42960,42960,0,22500,0,0,0,0,20460,2,1,5,0,1,75,100.17,75,100, ,3,N,5,2,846000,3710250,846000,3710250,1930,1978,1988, , ,5.72,7.52,6,7.5,1,1004230022,0,18,985933,201112,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,355.3266573,7686.931177,2864250,0,0,10443,10444,34,7650,34.16999817,34.16999817,0,34.16999817,0,1161.779938 +10445,MN,619,74,102,73,6005,2,3,10014,Q018,6,15,6400,1,2,2B,220 WEST 4 STREET,C4-5,R6, , , , , , , , ,Y,K2,5,0, ,"HI REST REALTY CO.,",12950,22240,22240,0,0,22240,0,0,0,0,2,1,2,0,12,72.42,126.33,72.42,126.33,E,2,Y,3,2,3586500,9311850,0,0,1932,1984,0,Greenwich Village Historic District, ,1.72,3.44,3.4,6.5,1,1006190074,0,73,983375,206615,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,458.3380836,13581.90839,5725350,9,0,10444,10445,60,13500,23.46111107,24.03444481,0.57333374,23.47854443,0.092459097,1408.712666 +10446,MN,898,11,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,213 EAST 17 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,213-215 EAST 17TH STR,2760,6480,0,6480,0,0,0,0,0,0,2,1,4,8,8,30,92,30,54, ,3,N,5,2,120743,568665,2360,2360,1920,2005,0,Stuyvesant Square Historic District, ,2.35,3,0,3,1,1008980011,0,48,988446,207073,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,253.6338582,2950.851885,447922,5,0,10445,10446,14,3150,22.7840004,28.12999916,5.345998764,24.14455564,1.962329347,338.0237789 +10447,MN,558,28,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,104 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,219 REALTY CO LP,1770,8850,1600,7250,0,1600,0,0,0,0,2,1,5,8,9,29.5,60,30,58, ,2,N,3,2,356508,993851,0,0,1900,0,0, , ,5,6.02,6,6.5,1,1005580028,0,42,987574,206184,12c, ,102 025,10207, ,0, ,1, , 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,LM, , , ,N,O4,5,0, ,FIELDSTONE CAPITAL IN,8615,173159,173159,0,150927,22232,0,0,0,0,2,1,21,0,17,114.58,72.37,115,72, ,3,Y,3,2,4095000,17793000,0,0,1932,0,0, , ,20.1,10,15,15,1,1000460001,0,7,981110,197122,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,398.8022629,9308.276281,13698000,17,0,10453,10454,42,9450,31.4165554,35.89444351,4.477888107,31.7536459,0.862065057,1333.653128 +10455,MN,883,24,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,108 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,108 E.G. LEX LLC,1592,6163,1343,4820,0,1343,0,0,0,0,2,1,5,8,9,19.75,80,20,80,E,3,N,5,2,181164,746726,0,0,1915,0,0, , ,3.87,6.02,6,6.5,1,1008830024,0,68,988976,209758,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,206.5400597,1618.685713,565562,11,0,10454,10455,7,1575,33.29444504,33.29444504,0,33.29444504,0,233.0611153 +10456,MN,179,7506,101,33,3020,2,1,10013,E007,1,15,7700,3,1, ,18 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,12464,77625,0,77625,0,0,0,0,0,0,2,1,8,30,30,0.28,0,125,84.95, ,0,N,0,5,773997,9863100,7080,7080,1915,0,0,Tribeca West Historic District, ,6.23,6.02,6,6.5,1,1001797506,1196,33,982033,201028,12a, ,11S 035,10105, ,1001790023,11/27/2001,1, , ,17V1.1,7,456.0311863,12852.41274,9089100,14,1,10455,10456,57,12825,10.17444515,12.28999996,2.11555481,10.28405526,0.418928828,586.1911497 +10457,MN,927,25,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,361 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,FIRST AVENUE ASSETS L,1274,5096,1076,4020,0,1076,0,0,0,0,2,1,4,6,7,24.75,51.42,25,51, ,3,N,3,2,150543,501244,0,0,1910,1985,0, , ,4,4,2,4,1,1009270025,0,64,989892,207348,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,158.3427653,1408.626951,350701,5,0,10456,10457,6,1350,12.9244442,12.9244442,0,12.9244442,0,77.54666519 +10458,MN,521,70,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,302 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,NOHO 302 INC,1620,7533,0,7533,0,0,0,0,0,0,2,1,5,5,5,25.33,63.42,25,62, ,3,Y,5,2,185958,510937,4720,4720,1900,0,0,Noho East Historic District, ,4.65,6.02,6,6.5,1,1005210070,0,5502,986191,203436,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,183.9614759,1644.096211,324979,9,0,10457,10458,7,1575,43.41222,45.68777847,2.275558472,43.8674905,0.806916464,307.0724335 +10459,MN,621,61,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,51 CHARLES STREET,R6, , , , , , , , , ,N,C6,2,0, ,CHARLES IV INC,1585,4584,0,4584,0,0,0,0,0,0,2,2,3,5,5,20,79.25,20,48, ,0,N,3,5,71479,299890,2360,2360,1880,1983,0,Greenwich Village Historic District, ,2.89,2.43,0,4.8,1,1006210061,0,73,983332,207075,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,209.1494488,1815.754293,228411,8,0,10458,10459,8,1800,24.81222343,27.59777832,2.785554886,25.83980608,1.113513545,206.7184486 +10460,MN,753,51,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,314 WEST 30 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,"CHELSEA TOWN,",10862,62824,8400,54424,0,0,8400,0,0,0,2,1,7,67,68,110,98.75,110,92,E,2,N,5,2,625500,3662550,0,0,1964,1988,0, , ,5.78,4,0,4,1,1007530051,0,97,985244,212484,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,425.9176952,11299.37023,3037050,6,0,10459,10460,50,11250,28.20800018,35.84999847,7.641998291,29.17301346,2.275051676,1458.650673 +10461,MN,791,22,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,131 WEST 15 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR15 LLC,4130,8320,0,8320,0,0,0,0,0,0,2,1,4,51,51,40,103.25,20,54, ,3,N,5,5,324000,1007100,0,0,1910,1980,0, , ,2.01,4,0,4,1,1007910022,0,81,984936,208440,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,290.6005315,4089.957849,683100,7,0,10460,10461,17,3825,27.87888908,32.27333069,4.394441605,28.94503234,1.492339029,492.0655499 +10462,MN,37,23,101,7,1014,2,1,10005,E004,1,15,7700,1,1, ,180 MAIDEN LANE,C5-3, , , , , ,LM, , , ,N,O4,5,0,P,"DOWNTOWN NYC OWNER, L",46799,1079361,1079361,0,1077987,1374,0,0,0,0,2,1,41,0,50,231.85,212,180,189, ,1,Y,1,2,27720000,129600900,0,0,1982,2015,0, , ,23.06,10,15,15,1,1000370023,0,7,982721,196225,12b, ,101S007,10101, ,0, ,1,1,1,17V1.1,0,878.2888482,47548.84653,101881000,4,1,10461,10462,209,47025,5.993332863,6.177777767,0.184444904,5.997240379,0.022474211,1253.423239 +10463,MN,606,4,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,2B,18 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,K1,5,0, ,18-20 LLC,4322,4320,4320,0,0,4320,0,0,0,0,2,1,1,0,3,31.17,85.92,31.16,85.92, ,3,Y,3,2,1003500,2110500,0,0,1920,2011,0,Greenwich Village Historic District, ,1,3.44,2,6.5,1,1006060004,0,71,984322,207007,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,296.3025264,4707.589471,1107000,8,0,10462,10463,19,4275,19.72333336,19.72333336,0,19.72333336,0,374.7433338 +10464,MN,826,28,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,17 WEST 24 STREET,M1-6, , , , , , , , , ,N,L9,6,0,P,PRIME HOTEL MANAGEMEN,2568,7900,7900,0,0,2500,0,5400,0,0,2,1,5,0,1,26,98.75,26,60,E,3,N,5,0,315000,636750,0,0,1920,0,0, , ,3.08,0,10,10,1,1008260028,0,58,986931,209962,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,251.7537111,2667.907796,321750,2,0,10463,10464,12,2700,33.45800018,33.45800018,0,33.45800018,0,401.4960022 +10465,MN,350,20,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,293 EAST HOUSTON STREET,R8A, , , ,C1-5, , , , , ,N,C4,2,0,P,1-7 CLINTON LLC,2500,11620,1800,9820,0,1800,0,0,0,0,2,1,5,16,19,25,100,25,100,E,1,N,3,2,225000,1514700,0,0,1920,1986,0, , ,4.65,6,0,6,1,1003500020,0,3001,988656,202039,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,259.7147961,2801.324539,1289700,1,0,10464,10465,12,2700,22.63000107,22.70777893,0.077777863,22.64101966,0.025094438,271.6922359 +10466,MN,621,44,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,80 PERRY STREET,R6, , , , , , , , , ,N,D4,3,0, ,PERRY ST COOPERATIVE,3805,12605,0,12605,0,0,0,0,0,0,2,1,5,10,10,40,95.17,40,77, ,3,Y,5,1,253159,756866,18880,18880,1910,1988,0,Greenwich Village Historic District, ,3.31,2.43,0,4.8,1,1006210044,0,73,983041,207126,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,273.830029,3916.506354,503707,8,0,10465,10466,17,3825,24.81222343,26.93111038,2.118886948,25.00971345,0.561530716,425.1651287 +10467,MN,410,64,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,114 DELANCEY STREET,C6-2A, , , , , , , , , ,N,K4,4,0,P,114 DELANCEY,6510,23040,23040,0,9617,13423,0,0,0,0,2,1,3,0,4,65.1,100,65,100, ,0,N,3,5,900000,3529350,0,0,1997,0,0, , ,3.54,6.02,6,6.5,1,1004100064,0,18,987498,201204,12c, ,101N079,10204,E-216,1004100064,1/2/1992,1, , ,17V1.1,0,344.7764069,7163.532481,2629350,13,0,10466,10467,31,6975,31.33099937,32.7555542,1.424554825,31.41451909,0.319743165,973.8500919 +10468,MN,588,74,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,31 GROVE STREET,R6, , , , , , , , , ,N,C5,2,0, ,"BIRDBEAR, LLC",2100,3792,0,3792,0,0,0,0,0,0,2,1,3,6,6,20.92,100,21,58,E,3,N,5,5,151308,455058,0,0,1905,1985,2003,Greenwich Village Historic District, ,1.81,2.43,0,4.8,1,1005880074,0,73,982893,206271,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,245.5429632,2275.404839,303750,9,0,10467,10468,10,2250,20.90555573,21.18888855,0.283332825,20.93388901,0.084999847,209.3388901 +10469,MN,443,29,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,85 EAST 2 STREET,R8B, , , , , , , , , ,N,E9,6,0, ,RAIMONDO REALTY COMPA,2125,2000,2000,0,0,0,0,2000,0,0,2,1,1,0,1,25,86.5,25,86, ,3,Y,5,0,90000,135000,0,0,1920,0,0, , ,0.94,4,0,4,1,1004430029,0,3602,987405,203041,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,225.7597054,2231.593705,45000,1,0,10468,10469,9,2025,31.53899956,31.88366699,0.344667435,31.57729594,0.108318525,284.1956635 +10470,MN,818,21,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,25 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C5,2,0, ,25 W. 16TH STREET LLC,2300,6170,0,6170,0,0,0,0,0,0,2,1,4,10,10,25,92,25,48, ,3,N,5,1,62384,337019,0,0,1920,1987,0, , ,2.68,6.02,6,6.5,1,1008180021,0,54,985829,208242,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,244.7269559,2560.425521,274635,7,0,10469,10470,11,2475,31.11599922,33.80555725,2.689558029,32.18723193,1.123513973,354.0595512 +10471,MN,448,21,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,74 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,K&T REALTY ASSOCIATES,2271,10920,2000,8920,0,2000,0,0,0,0,2,1,6,21,23,25,90.83,25,76, ,3,N,5,2,219150,1303650,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.81,4,0,4,1,1004480021,0,38,987932,204200,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.3786892,2412.924101,1084500,12,0,10470,10471,10,2250,27.1590004,28.86333275,1.704332352,27.32943363,0.511299706,273.2943363 +10472,MN,465,7501,103,40,3001,1,2,10003,E033,9,14,6200,4,3, ,38 STUYVESANT STREET,R8B, , , , , , , , , ,N,R2,2,0, ,THE STUYVESANT ST CON,3131,12921,320,12601,0,0,0,320,0,0,2,1,6,12,12,50,70.42,50,54, ,3,Y,0,5,294299,1401128,0,709064,1900,1985,2007, , ,4.13,4,0,4,1,1004657501,1972,40,987632,205162,12c, ,102 018,10205, ,1004650041,12/15/2008,1, , ,17V1.1,7,231.8868702,3232.319224,1106830,12,0,10471,10472,12,2700,31.03333282,31.03333282,0,31.03333282,0,372.3999939 +10473,MN,483,8,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,506 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,A W R P PROPERTIES IN,2392,6304,6304,0,0,6304,0,0,0,0,2,1,3,0,1,23.92,100,24,100,E,3,Y,5,2,540000,6349950,0,0,1900,2011,2011,SoHo-Cast Iron Historic District, ,2.64,0,5,6.5,1,1004830008,0,45,984496,202401,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,257.6042781,2491.045361,5809950,0,0,10472,10473,10,2250,24.68222237,28.2677784,3.58555603,25.04077797,1.075666809,250.4077797 +10474,MN,775,44,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,200 WEST 26 STREET,C6-3X,C6-2A, , , , , , , , ,Y,D8,3,0, ,200-220 WEST 26 LLC,12994,264000,32405,231595,0,32405,0,0,0,0,2,1,17,231,234,108.33,123.33,108,123,E,0,Y,5,5,2515500,32384700,0,18669150,2000,0,0, , ,20.32,9,6,9,1,1007750044,0,91,985686,211009,8d, ,105S010,10304,E-92,1007750035,4/10/2001,1, , ,17V1.1,0,658.8839961,23407.62134,29869200,2,0,10473,10474,105,23625,26.32299995,32.59999847,6.27699852,26.63219675,1.222086692,2796.380659 +10475,MN,939,35,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,589 1 AVENUE,C1-9A, , , , , , , , , ,N,C4,2,0,P,FIRST KLP REALTY LLC,2115,3870,969,2901,0,969,0,0,0,0,2,1,4,12,13,21.08,100,21,69,E,3,N,5,2,59400,1116450,0,0,1930,0,0, , ,1.83,10,2,10,1,1009390035,0,70,991451,210216,8d, ,104 023,10309, ,0, ,1,1,1,17V1.1,0,244.7486369,2245.664967,1057050,10,1,10474,10475,10,2250,10.03999996,10.03999996,0,10.03999996,0,100.3999996 +10476,MN,587,16,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,14 COMMERCE STREET,C2-6, , , , , , , , , ,N,K1,5,0,P,IADICICCO MICHAEL,801,782,782,0,0,782,0,0,0,0,2,1,1,0,1,34.33,46.67,34,46, ,2,Y,3,0,67950,194850,0,0,1920,0,0,Greenwich Village Historic District, ,0.98,3.44,2,6.5,1,1005870016,0,67,983108,205860,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,124.1286546,665.8813161,126900,9,0,10475,10476,3,675,15.94888878,19.94999886,4.001110077,17.28259214,1.886141378,51.84777641 +10477,MN,624,7505,102,79,4006,2,3,10014,L005,6,15,6100,3,2, ,607 HUDSON STREET,C1-6, , , , , , , , , ,N,R1,2,0, , ,8185,46835,0,46835,0,0,0,0,0,0,2,1,7,9,9,50.25,147.42,50.25,147.42, ,3,Y,0,5,516009,4555408,0,0,1906,0,0, , ,5.72,3.44,2,6.5,1,1006247505,2385,79,982549,207929,12a, ,103 013,10210, ,1006240015,2/21/2013,1, , ,17V1.1,7,432.0001241,9356.137369,4039400,8,0,10476,10477,50,11250,15.52555561,18.28222275,2.756667137,15.96462225,0.840867969,798.2311125 +10478,MN,461,47,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,219 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,STEPROS REALTY CORP,2425,9190,0,9190,0,0,0,0,0,0,2,3,5,14,14,25,97,25,54, ,3,N,5,2,187200,495000,0,0,1900,1970,0,East Village/Lower East Side Historic Di, ,3.79,4,0,4,1,1004610047,0,38,986996,204324,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,253.2148109,2574.941335,307800,1,0,10477,10478,10,2250,36.55199814,39.99911118,3.447113037,38.24791031,1.696024821,382.4791031 +10479,MN,921,39,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,348 EAST 15 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,MAKO LLC,3200,14130,750,13380,0,750,0,0,0,0,2,1,6,25,26,31,103.25,31,90, ,3,N,5,2,175500,1988550,0,0,1910,1986,2009, , ,4.42,6,0,6,1,1009210039,0,48,989033,205989,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,274.8371103,3328.569205,1813050,5,0,10478,10479,14,3150,21.21777725,21.21777725,0,21.21777725,0,297.0488815 +10480,MN,817,71,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,22 WEST 16 STREET,C6-2M, , , , , , , , , ,N,B1,1,0,P,"TWIN TOWNHOUSES, LLC",2582,8125,0,8125,0,0,0,0,0,0,2,1,5,2,2,25,103.25,25,65, ,3,N,5,4,65182,243343,0,0,1998,0,0, , ,3.15,6.02,6,6.5,1,1008170071,0,54,985815,208073,12c,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,259.0667797,2431.959629,178161,7,0,10479,10480,12,2700,30.80200005,34.77000046,3.968000412,31.13266675,1.096697378,373.592001 +10481,MN,773,42,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,228 7 AVENUE,C6-3X, , , , , , , , , ,N,S1,4,0, ,228 SEVENTH LLC,1574,4719,1573,3146,0,1573,0,0,0,0,2,1,4,1,2,19.67,80,20,40,E,3,N,5,2,51534,86056,0,0,1920,0,0, , ,3,9,6,9,1,1007730042,0,91,985431,210509,8d, ,105S009,10304,E-54,0, ,1, , ,17V1.1,0,196.0171942,1470.907691,34522,2,0,10480,10481,7,1575,23.38899994,23.38899994,0,23.38899994,0,163.7229996 +10482,MN,778,18,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,241 WEST 28 STREET,M1-6D, , , , , , , , , ,N,G7,10,0, ,JAY STREET ASSOCIATES,9885,0,0,0,0,0,0,0,0,0,7,1,0,0,0,49.75,173.08,0,0, ,0,Y,5,5,1279350,1279350,0,0,0,0,0, , ,0,10,10,10,1,1007780018,0,95,985649,211904,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,523.7381602,10662.59285,0,6,0,10481,10482,48,10800,28.45999908,30.44555473,1.985555649,28.81786279,0.673227162,1383.257414 +10483,MN,485,22,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,91 MERCER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,WORKSPACE INC,5000,27500,7700,19800,0,7700,0,0,0,0,2,1,6,10,11,50,100,50,96, ,2,N,5,2,270000,3441150,12684,12684,1900,2006,0,SoHo-Cast Iron Historic District, ,5.5,0,5,6.5,1,1004850022,0,49,984227,202771,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,309.0545565,5282.183246,3171150,0,0,10482,10483,23,5175,17.71444511,17.71444511,0,17.71444511,0,407.4322376 +10484,MN,399,1,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,42 AVENUE A,R7A, , , ,C2-5, , , , , 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,17V1.1,0,149.1973127,1027.050328,378900,14,0,10503,10504,4,900,25.58300018,25.58300018,0,25.58300018,0,102.3320007 +10505,MN,224,7502,101,39,1008,2,1,10013,L008,1,15,7700,3,1, ,462 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2000,8070,1607,6463,0,0,0,0,0,1607,2,1,5,4,5,25,79.92,25,79,E,3,Y,5,5,19308,308909,4067,38705,1910,0,0,Tribeca North Historic District, ,4.04,6.02,6,6.5,1,1002247502,1562,39,981553,202997,12a, ,11N 040,10105, ,1002240028,7/26/2006,1,1,1,17V1.1,7,210.2452944,1998.314364,289601,0,1,10504,10505,10,2250,8.210000038,8.210000038,0,8.210000038,0,82.10000038 +10506,MN,691,22,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,517 WEST 19 STREET,C6-2, , , , , ,WCH, , , ,N,K1,5,0, ,"517 W. 19TH STREET, L",4600,4500,4500,0,0,4500,0,0,0,0,2,1,1,0,1,50,92,50,90, ,3,N,5,0,405000,1638000,0,0,1965,2006,0, , ,0.98,6.02,6,6.5,1,1006910022,0,99,982372,210995,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,280.9439025,4523.169765,1233000,7,1,10505,10506,19,4275,6.974444389,6.974444389,0,6.974444389,0,132.5144434 +10507,MN,770,31,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,215 WEST 20 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,"MINJAK,",4034,26250,3400,22850,0,3400,0,0,0,0,2,2,7,12,13,50,80.67,50,73, ,3,Y,5,2,272250,2220750,0,0,1910,1987,0, , ,6.51,4,0,4,1,1007700031,0,87,984900,209866,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,269.4602049,4301.733348,1948500,7,0,10506,10507,19,4275,22.20999908,22.20999908,0,22.20999908,0,421.9899826 +10508,MN,612,40,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,41 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,CHARLES REEF LLC,1584,3474,0,2674,0,0,0,0,0,0,2,1,3,1,1,16.67,95,16.67,47, ,3,N,5,1,101849,479545,0,0,1900,2014,0,Greenwich Village Historic District, ,2.19,2.43,0,4.8,1,1006120040,0,73,983455,207105,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,233.1743314,1734.973484,377696,8,0,10507,10508,8,1800,24.50222206,25.39999962,0.897777557,24.82083344,0.360032024,198.5666676 +10509,MN,471,51,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,157 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,S1,4,0, ,"MOY, KWAI YUET",2500,3906,1953,1953,0,1953,0,0,0,0,2,1,2,1,2,25,100.17,25,91,E,0,N,5,5,28990,68576,0,0,1901,0,0, , ,1.56,6.02,6,6.5,1,1004710051,0,41,985201,201416,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,256.4166265,2546.910682,39586,0,0,10508,10509,12,2700,27.46699905,31.73966789,4.272668839,27.82305479,1.180903283,333.8766575 +10510,MN,778,55,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,228 WEST 29 STREET,M1-6D, , , , , , , , , ,N,M1,8,0,P,"SUBUD, NEW YORK",4500,5390,5390,0,0,0,0,0,0,5390,2,1,1,0,1,49.75,68.67,49.75,68.67, ,0,Y,5,2,634500,975600,634500,975600,1920,0,0, , ,1.2,10,10,10,1,1007780055,0,95,985805,211872,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,341.7948241,5442.876816,341100,6,0,10509,10510,23,5175,28.45999908,31.1222229,2.662223816,28.57574795,0.542910284,657.2422028 +10511,MN,406,37,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,200 AVENUE B,R7A, , , ,C1-5, , , , , ,N,Z9, ,0,C,PARKS AND RECREATION,1100,200,200,0,0,0,200,0,0,0,2,1,1,3,3,18.33,60,18.33,20, ,0,N,5,5,41850,61650,41850,61650,1900,0,0, , ,0.18,4,0,4,1,1004060037,0,34,990055,204640,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,165.1313307,1188.256657,19800,12,1,10510,10511,6,1350,11.35888863,12.94666672,1.587778091,11.97148132,0.68008348,71.82888794 +10512,MN,97,144,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,138 BEEKMAN STREET,C6-2A, , , , , ,LM, , , ,N,A9,1,0, ,"BURROW, CLIVE",469,1880,0,1880,0,0,0,0,0,0,2,1,4,1,1,17.37,25.62,18.37,25.6, ,3,Y,5,5,30452,59097,1550,1550,1988,0,0,South Street Seaport Historic District, ,4.01,6.02,6,6.5,1,1000970144,0,1501,983485,197016,12b, ,11S 023,10103, ,1000970044,2/18/2003,1,1,1,17V1.1,0,95.99660683,559.8694981,28645,4,1,10511,10512,3,675,5.993332863,6.596444607,0.603111744,6.194370111,0.284309603,18.58311033 +10513,MN,627,12,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,643 HUDSON STREET,M1-5, , , , , , , , , ,N,S3,4,0, ,KATZ-AUERBACHER CORP,1422,3712,500,3212,0,500,0,0,0,0,2,1,4,3,4,23.08,64,22.67,42, ,0,Y,5,5,73089,166856,0,0,1950,0,0,Gansevoort Market Historic District, ,2.61,0,5,6.5,1,1006270012,0,79,982666,208549,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,183.9305124,1604.975147,93767,8,0,10512,10513,9,2025,14.72666645,16.7456665,2.019000053,14.95099979,0.634510502,134.5589981 +10514,MN,464,132,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,238A EAST 9 STREET,R8B, , , , , , , , , ,N,K1,5,0, ,238A E 9 ST. LLC,112,220,220,0,0,220,0,0,0,0,2,1,1,0,1,8,14,8,14, ,3,N,5,0,22500,124200,0,0,1920,1989,0, , ,1.96,4,0,4,1,1004640132,0,38,987602,205005,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,46.11487816,121.8465407,101700,12,0,10513,10514,1,225,32.10889053,32.10889053,0,32.10889053,0,32.10889053 +10515,MN,898,23,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,241 EAST 17 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,STOLLER AMY,1794,3953,0,3953,0,0,0,0,0,0,2,1,4,2,2,17.25,104,17.25,54,E,2,N,5,2,93355,197571,0,0,1910,0,0,Stuyvesant Square Historic District, ,2.2,3,0,3,1,1008980023,0,48,988671,206956,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,250.9330557,1841.334911,104216,5,0,10514,10515,9,2025,22.7840004,25.14111137,2.357110977,23.4204199,0.836213816,210.7837791 +10516,MN,590,29,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,168 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,C7,4,0, ,GEMROSON REALTY CORP,2992,12259,3500,8759,0,3500,0,0,0,0,2,1,6,15,17,44.75,72.83,45,53, ,3,Y,5,2,390600,2639250,0,0,1920,1981,0,Greenwich Village Historic District Exte, ,4.1,2.43,0,4.8,1,1005900029,0,67,983795,205967,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,232.9535527,3174.564072,2248650,9,0,10515,10516,14,3150,17.54000092,18.70066643,1.160665512,17.70190552,0.396718214,247.8266773 +10517,MN,280,51,103,8,1001,2,1,10038,E009,5,14,7800,1,3,1A,15 CATHERINE STREET,C6-1G, , , , , , , , , ,N,O6,5,0,P,JARNS HOLDINGS INC,3075,20723,20723,0,20723,0,0,0,0,0,2,2,7,0,7,27.17,113.33,27,110, ,3,Y,5,0,214200,520236,0,0,2015,2013,0, , ,6.74,3.44,6,6.5,1,1002800051,0,8,985093,199119,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,281.4965703,3057.446364,306036,16,0,10516,10517,14,3150,29.04899979,29.04899979,0,29.04899979,0,406.685997 +10518,MN,463,1,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,61 COOPER SQUARE,C6-1, , , , , , , , , ,N,M1,8,0,P,UKRAINIAN EVANGELICAL,3139,12556,12556,0,0,0,0,0,0,12556,2,1,4,0,1,42.42,74,42,72, ,2,N,3,1,263700,525600,263700,525600,1900,0,0, ,FIRST UKRAINIAN ASSEMBLY OF GOD,4,3.44,6,6.5,1,1004630001,0,38,987020,204847,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,241.7548122,3389.465103,261900,12,0,10517,10518,15,3375,34.15777969,39.57111359,5.413333893,34.51866862,1.350322716,517.7800293 +10519,MN,141,10,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,150 READE STREET,C6-2A, , , , , ,TMU, , , ,N,A7,1,0, ,"MASTERS, BLYTHE S.J.",1356,6250,0,6250,0,0,0,0,0,0,2,1,6,1,1,25,54.2,25,54, ,3,Y,5,4,150705,428544,0,0,1999,0,0, , ,4.61,6.02,6,6.5,1,1001410010,0,39,981440,200423,12a, ,115 016,10104, ,1001410009,12/4/2000,1, , ,17V1.1,0,162.1769182,1402.215342,277839,14,0,10518,10519,6,1350,16.8029995,16.8029995,0,16.8029995,0,100.817997 +10520,MN,440,35,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,201 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S9,4,0,P,201 AVE A CORP,2575,6024,1200,4824,0,1200,0,0,0,0,2,1,4,6,8,25.75,100,26,56, ,3,N,5,2,43113,155859,0,0,1910,1986,0, , ,2.34,4,0,4,1,1004400035,0,34,989406,205050,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,254.4728086,2514.258466,112746,12,0,10519,10520,12,2700,16.59444427,17.93333435,1.338890076,17.02635193,0.526337604,204.3162231 +10521,MN,827,12,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,41 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,HANOVER ESTATES LLC,4906,50000,50000,0,45000,5000,0,0,0,0,2,1,11,0,12,50,98.75,50,93,E,2,N,5,2,1588500,4531500,0,0,1907,1982,0, , ,10.19,0,10,10,1,1008270012,0,58,986802,210325,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,301.5621685,5039.030558,2943000,2,0,10520,10521,22,4950,38.00333405,40.04999924,2.046665192,38.09636428,0.426318098,838.1200142 +10522,MN,744,30,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,313 WEST 20 STREET,R7B, , , , , , , , , ,N,B9,1,0,P,SOLASZ RACHEL,2300,9200,0,9200,0,0,0,0,0,0,2,1,3.5,2,2,25,92,25,92,E,3,N,5,2,31326,131713,0,0,1900,0,0, , ,4,3,0,3,1,1007440030,0,89,984096,210319,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,234.7582718,2269.051893,100387,7,0,10521,10522,9,2025,15.84222221,15.84222221,0,15.84222221,0,142.5799999 +10523,MN,612,52,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,10 PERRY STREET,C2-6, , , , , , , , , ,N,C0,2,0, ,KRASNO NICHOLAS E R,2097,3680,0,2760,0,0,0,0,0,0,2,1,3,3,3,22,95.33,22,42,E,3,N,5,1,45342,156763,1550,1550,1910,0,0,Greenwich Village Historic District, ,1.75,3.44,2,6.5,1,1006120052,0,71,983895,207291,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,233.4322386,2073.152097,111421,8,0,10522,10523,9,2025,21.78555489,23.9422226,2.156667709,22.36654303,0.77252407,201.2988873 +10524,MN,411,1,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,146 ORCHARD STREET,C4-4A, , , , , , , , , ,N,D5,3,0, ,SUSHELL CORP,2222,9650,2950,6700,0,2950,0,0,0,0,2,1,6,16,17,25.25,88,25,60, ,3,N,5,2,202500,1739700,0,0,1900,2005,2005, , ,4.34,4,4,4,1,1004110001,0,3001,987371,201783,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,230.5289935,2247.080417,1537200,13,0,10523,10524,11,2475,31.68099976,35.54555511,3.864555359,32.12492891,1.120254157,353.374218 +10525,MN,875,7502,106,50,1004,2,2,10003,E005,13,14,5300,1,6, ,22 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,R6,2,0, , ,2730,8594,0,8594,0,0,0,0,0,0,2,1,5,3,3,26,105,26,82,E,3,N,5,5,141130,358341,0,0,1930,2005,0,Gramercy Park Historic District, ,3.15,3,0,3,1,1008757502,2090,50,988152,207898,12c, ,102 046,10307, ,1008750059,11/4/2009,1, , ,17V1.1,7,276.2083357,2928.57704,217211,5,0,10524,10525,12,2700,25.84222221,29.73110962,3.888887405,26.35222212,1.189541403,316.2266655 +10526,MN,626,21,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,624 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,BANDE REAL ESTATE COR,865,3204,650,2554,0,650,0,0,0,0,2,1,4,3,4,18,59.75,18,60, ,2,Y,3,5,178781,408011,0,0,1920,1987,0,Greenwich Village Historic District, ,3.7,3.44,2,6.5,1,1006260021,0,77,982774,208229,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,157.8869343,984.8751586,229230,8,0,10525,10526,5,1125,17.68444443,17.95199966,0.267555237,17.73795547,0.107022095,88.68977737 +10527,MN,662,19,104,99,1020,2,3,10011,E003,10,15,5500,1,4,1B,111C 11 AVENUE,M2-3, , , , , , , , , ,N,T2,7,0,O,STATE OF NY-DEPT. OF,302675,103200,103200,0,0,0,103200,0,0,0,2,1,2,0,1,374.83,799.75,129.17,799.75, ,0,N,2,5,2151450,14867550,2151450,14867550,1908,1963,1995, , ,0.34,0,2,0,1,1006620019,0,99,981500,211678,8b, ,103 053,10301, ,0, ,1,1,1,17V1.1,0,2351.966317,159624.1751,12716100,7,1,10526,10527,644,144900,0,6.997777462,6.997777462,5.091723392,1.501500093,3279.069864 +10528,MN,907,46,106,66,3000,2,2,10016,E016,13,14,5800,1,6,1B,220 EAST 27 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,218 ASSETS LLC,2469,9625,0,9625,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,85, ,2,N,5,2,90000,856800,0,0,1920,0,0, , ,3.9,4,0,4,1,1009070046,0,66,989672,209147,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,256.0331425,2612.614152,766800,11,0,10527,10528,12,2700,35.85699844,41.47777939,5.620780945,36.32539686,1.553501785,435.9047623 +10529,MN,239,11,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,90 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,90 ELIZABETH APT LLC,2529,10670,1500,9170,0,1500,0,0,0,0,2,1,6,20,21,25.08,102.5,25,89, ,3,N,5,2,146250,659700,0,0,1900,1988,0, , ,4.22,6.02,6,6.5,1,1002390011,0,41,985451,200947,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,258.648351,2592.679992,513450,0,0,10528,10529,12,2700,31.48699951,32.66388702,1.176887512,31.68290679,0.438062381,380.1948814 +10530,MN,627,14,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,639 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,639-1/2 HUDSON STREET,1300,3110,1510,1600,0,1510,0,0,0,0,2,1,3,2,3,19.67,65.33,19.67,40,E,3,Y,5,5,49274,123087,0,0,1899,0,0,Gansevoort Market Historic District, ,2.39,3.44,2,6.5,1,1006270014,0,79,982661,208499,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,178.7311696,1399.137514,73813,8,0,10529,10530,4,900,14.72666645,14.72666645,0,14.72666645,0,58.9066658 +10531,MN,820,7501,105,54,1003,2,3,10011,E014,13,15,5700,1,5, ,140 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,RM,4,0, ,OWNER / AGENT,1626,42845,4312,38533,0,2720,0,1592,0,0,2,1,12,21,27,0.03,0,0,0, ,0,N,5,5,735300,5723849,38870,38870,1901,0,0,Ladies' Mile Historic District, ,26.35,10,10,10,1,1008207501,632,54,986511,208573,8d, ,102 041,10306, ,1008200047,7/22/1989,1, , ,17V1.1,7,397.6918077,5148.284905,4988550,7,0,10530,10531,23,5175,35.79800034,40.32888794,4.530887604,37.11826125,1.724685963,853.7200089 +10532,MN,394,7501,103,28,2001,1,2,10009,L011,9,14,6300,4,3, ,645 EAST 11 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,RM,4,0,P,OWNER / AGENT,137,7430,680,6750,680,0,0,0,0,0,2,1,5,9,10,0.05,0,0,0, ,0,N,5,5,18136,464503,3606,4720,1920,1986,0, , ,54.23,4,0,4,1,1003947501,442,28,990514,204087,12c, ,102 030,10203, ,1003940046,12/31/1987,1,1,1,17V1.1,7,268.0570476,2863.257539,446367,12,1,10531,10532,13,2925,6.934999943,9.314444542,2.379444599,7.532410255,0.864580241,97.92133331 +10533,MN,522,38,102,55.02,2007,2,1,10012,L009,9,15,5700,1,2,1G,325 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,D0,3,0,P,325 LAFAYETTE 81 TEN,2230,15610,1785,13825,0,1785,0,0,0,0,2,1,7,6,10,89,33.83,85,34, ,3,Y,4,2,174793,990744,0,0,1900,2015,2014, , ,7,0,5,6.5,1,1005220038,0,5502,985688,203577,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,225.0158594,2249.654606,815951,9,0,10532,10533,9,2025,40.82555389,41.81777573,0.992221832,40.97278849,0.316265953,368.7550964 +10534,MN,441,19,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,424 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,NEXT HORIZON JC LLC,2581,8900,1580,7320,0,1580,0,0,0,0,2,1,5,21,23,25,103.25,25,78, ,3,N,5,2,306900,1792350,0,0,1930,1988,0, , ,3.45,4,2,4,1,1004410019,0,34,989364,205454,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,258.1228466,2558.982419,1485450,12,0,10533,10534,13,2925,16.39666748,18.10111046,1.704442978,16.52777848,0.454181821,214.8611202 +10535,MN,500,35,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,129 SPRING STREET,M1-5A, , , , , , , , , ,N,K2,5,0,P,"SAMGIU, LLC",2208,5480,5480,0,0,5480,0,0,0,0,2,1,4,0,1,23,96,23,94, ,3,Y,5,2,285750,2769300,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,2.48,0,5,6.5,1,1005000035,0,49,984134,203067,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,244.8395075,2383.496211,2483550,0,0,10534,10535,9,2025,17.84111023,17.84111023,0,17.84111023,0,160.5699921 +10536,MN,939,1,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,604 2 AVENUE,C1-9,C1-9A, , , , ,TA, , , ,Y,D6,4,1, ,HKAL 34TH STREET LIMI,30365,366200,65384,300816,13338,5970,40841,0,0,5235,2,1,36,355,370,197.5,207.5,197.5,85.75, ,0,Y,3,5,6975000,47034900,0,0,1974,0,0, , ,12.06,10,2,10,1,1009390001,0,70,990994,210475,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,815.9368399,30901.9593,40059900,10,1,10535,10536,137,30825,10.03999996,18.88555527,8.845555305,11.8889132,2.990053122,1628.781108 +10537,MN,373,62,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,287 EAST 3 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,"BRAND, BRUCE A.",2052,2870,0,2870,0,0,0,0,0,0,2,1,3,4,4,21.33,96.17,21.33,36, ,0,N,5,5,25191,33328,0,0,1900,0,0, , ,1.4,4,0,4,1,1003730062,0,2601,989852,202164,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,239.7638778,2107.513848,8137,1,0,10536,10537,8,1800,13.10900021,13.68666649,0.577666283,13.23230577,0.217705034,105.8584461 +10538,MN,940,16,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2A,325 EAST 34 STREET,C1-9A, , , , , , , , , ,N,S5,4,0, ,325 EAST 34TH STREETR,2469,7045,900,6145,0,900,0,0,0,0,2,1,4,5,6,25,98.75,25,83, ,3,N,5,5,176587,579644,0,0,1910,0,0, , ,2.85,10,2,10,1,1009400016,0,78,991276,210544,8d, ,104 024,10309, ,0, ,1, , ,17V1.1,0,247.2787695,2384.490049,403057,10,1,10537,10538,9,2025,8.051111221,8.700555801,0.64944458,8.12327173,0.204100741,73.10944557 +10539,MN,722,74,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,258 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S3,4,0,C,HOUSING PRESERVATION,1146,3433,800,2633,0,800,0,0,0,0,2,1,3,3,4,19.75,58,19,59,E,3,N,3,5,101217,234579,101217,234579,1910,0,0, , ,3,3,0,3,1,1007220074,0,93,983402,212075,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,164.251263,1265.640522,133362,2,1,10538,10539,5,1125,10.68099976,12.19666672,1.515666962,11.23059998,0.679056957,56.15299988 +10540,MN,627,43,102,77,3002,2,3,10014,L005,6,15,6100,1,2,3B,320 WEST 13 STREET,C1-6, , , , , , , , , ,N,O6,5,0,P,320 WEST 13TH REALTY,18177,181550,181550,0,181468,0,0,82,0,0,2,1,9,0,6,96,183,183.42,99, ,0,Y,3,5,3825000,18819900,0,0,1930,1986,0,Greenwich Village Historic District, ,9.99,3.44,2,6.5,1,1006270043,0,77,983106,208542,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,571.8055931,18626.60453,14994900,8,0,10539,10540,91,20475,19.23444366,20.10111046,0.866666794,19.37135522,0.149953952,1762.793325 +10541,MN,629,7503,102,77,3000,2,3,10014,L005,6,15,6100,3,2, ,345 WEST 13 STREET,C1-6,C6-2A, , , , , , , , ,Y,RM,4,0, , ,18509,126277,2349,123928,2349,0,0,0,0,0,2,1,7,47,48,158.29,103.25,0,0, ,0,Y,0,5,3687747,16818748,18880,18880,1920,0,0, , ,6.82,3.44,2,6.5,1,1006297503,1057,77,982934,208896,8b, ,103 035,10210, ,1006290004,3/19/1999,1, , ,17V1.1,7,797.6697901,24169.7621,13131000,8,0,10540,10541,108,24300,16.45777702,18.3255558,1.867778778,16.49194989,0.23356968,1781.130589 +10542,MN,772,67,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,240 WEST 23 STREET,C2-7A, , , , , , , , , ,N,D4,3,0,P,240 W 23 OWNERS CORP,3769,24378,2500,21878,0,2500,0,0,0,0,2,1,7,18,19,38.17,98.75,38,98,E,3,N,5,2,440550,2539800,18880,18880,1920,1984,0, , ,6.47,7.52,2,7.5,1,1007720067,0,91,984978,210524,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,283.2643702,3951.084504,2099250,2,0,10541,10542,18,4050,22.16600037,25.09222221,2.926221848,22.44828426,0.808702725,404.0691166 +10543,MN,389,30,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,224 EAST 7 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,C6,2,0,P,GROUP 224 CO-OP CORP,2271,8720,0,8720,0,0,0,0,0,0,2,1,5,12,12,25,90.83,25,80, ,3,N,5,1,180000,776250,35412,35412,1950,1983,0, , ,3.84,4,0,4,1,1003890030,0,2602,989955,203080,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,233.5717803,2345.577784,596250,12,1,10542,10543,11,2475,7.700000286,7.700000286,0,7.700000286,0,84.70000315 +10544,MN,429,4,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,16 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,16 FIRST AVENUE REALT,2200,8448,1690,6758,0,1690,0,0,0,0,2,1,5,8,9,22,100,22,82,E,3,N,5,2,90010,244383,0,0,1900,2014,0, , ,3.84,4,0,4,1,1004290004,0,3002,987583,202824,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,249.8297874,2353.211647,154373,1,0,10543,10544,10,2250,28.19499969,34.32666397,6.131664276,29.22977715,2.113415448,292.2977715 +10545,MN,450,52,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,45 ST MARKS PLACE,R8B, , , , , , , , , ,N,C3,2,0, ,"BACZYNSKY, JULIAN",2500,7376,0,7376,0,0,0,0,0,0,2,1,4,4,4,25,100,25,79, ,3,N,5,5,178516,242398,0,0,1900,1985,0, , ,2.95,4,0,4,1,1004500052,0,38,987891,204693,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,245.3026157,2453.57466,63882,12,0,10544,10545,11,2475,25.4810009,25.49022293,0.009222031,25.48183927,0.002651147,280.3002319 +10546,MN,829,46,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,8 WEST 28 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,NOMAD 28TH STREET LLC,2472,9104,9104,0,0,1800,0,7304,0,0,2,1,4,0,5,25,98.75,25,98, ,3,N,5,2,261000,539550,0,0,1915,0,0,Madison Square North Historic District, ,3.68,0,10,10,1,1008290046,0,58,987524,210632,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,248.7181253,2407.707905,278550,11,0,10545,10546,10,2250,40.15333176,42.90777588,2.754444122,40.42877617,0.826333237,404.2877617 +10547,MN,764,72,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,98 8 AVENUE,C1-6A, , , , , , , , , ,N,S4,4,0,P,243 THIRD AVE ASSOCIA,1200,2500,1000,1500,0,1000,0,0,0,0,2,1,3,4,5,19.37,63.5,19,61,E,3,N,5,5,128028,284550,0,0,1915,2015,0, , ,2.08,4,2,4,1,1007640072,0,81,983732,208949,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,164.9843556,1204.004992,156522,7,0,10546,10547,6,1350,22.05333328,22.05333328,0,22.05333328,0,132.3199997 +10548,MN,529,7509,102,55.02,1002,2,1,10012,L009,9,15,5700,2,2, ,41 BOND STREET,M1-5B, , , , , , , , , ,N,R1,2,0, , ,4759,21808,0,21808,0,0,0,0,0,0,2,1,9,7,7,49.83,99.42,50,65, ,1,N,0,5,91664,1766406,0,822778,2010,0,0, , ,4.58,0,5,6.5,1,1005297509,2073,5502,986136,203745,12c, ,103 010,10207, ,1005290030,11/3/2011,1, , ,17V1.1,7,298.5675277,4934.359884,1674740,9,0,10547,10548,23,5175,41.23199844,46.11000061,4.878002167,41.6905302,1.295175808,958.8821945 +10549,MN,25,19,101,9,1000,2,1,10004,L015,1,15,7700,1,1, ,25 BROAD STREET,C5-5, , , , , ,LM, , , ,N,D9,3,0,P,25 BROAD STREET L/CAL,24572,518034,20000,498034,0,20000,0,0,0,0,2,1,21,308,311,106.67,236.25,107,236, ,3,Y,3,1,5510700,50706900,0,0,1900,1996,0, ,BROAD EXCHANGE BUILDING,21.08,10,15,15,1,1000250019,0,9,981265,196462,12b, ,101S005,10101, ,1000250007,4/25/2013,1, ,1,17V1.1,0,779.6054951,25853.15532,45196200,17,1,10548,10549,114,25650,11.3760004,17.13999939,5.763998985,12.47963102,0.632176315,1422.677937 +10550,MN,494,38,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,35 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S1,4,0, ,35 SPRING STREET LLC,1082,4576,1144,3432,0,1144,0,0,0,0,2,1,4,1,2,18.5,58.5,18.5,32, ,0,N,5,5,25946,115486,0,0,1901,2008,2008, , ,4.23,6.02,6,6.5,1,1004940038,0,43,985444,202275,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,165.3547412,1199.246435,89540,0,0,10549,10550,5,1125,38.86500168,38.86500168,0,38.86500168,0,194.3250084 +10551,MN,851,53,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,32 EAST 23 STREET,C6-4M, , , , , , , , , ,N,K1,5,0, ,28-34 EAST 23RD STRE,2765,4688,4688,0,0,4688,0,0,0,0,2,1,1,0,1,28,98.75,28,93, ,3,N,5,2,450000,872550,0,0,1938,2016,0, , ,1.7,10,10,10,1,1008510053,0,56,987664,209036,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,262.3786244,2797.6949,422550,11,0,10550,10551,14,3150,32.49111176,32.49111176,0,32.49111176,0,454.8755646 +10552,MN,543,57,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,131 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,"TEMPLETON, DON E",1282,3189,1600,1588,800,800,0,0,0,0,2,1,3,2,4,19.5,65.75,19.5,40, ,3,N,5,2,128250,335700,0,0,1900,1983,0,South Village Historic District,131 MACDOUGAL STREET,2.49,3.44,0,6.5,1,1005430057,0,65,984219,205502,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,175.0168565,1331.510945,207450,9,0,10551,10552,5,1125,18.49900055,18.49900055,0,18.49900055,0,92.49500275 +10553,MN,720,9,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,477 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,477 WEST 22ND STREET,1547,3920,0,3920,0,0,0,0,0,0,2,1,4,4,4,15.67,98.75,16,52, ,3,N,5,1,75447,295099,4720,4720,1900,1981,0,Chelsea Historic District Extension, ,2.53,3,0,3,1,1007200009,0,93,983161,211419,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,217.9352722,1387.596647,219652,2,1,10552,10553,5,1125,9.369999886,9.369999886,0,9.369999886,0,46.84999943 +10554,MN,402,59,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,513 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,MORA MANAGEMENT CORP,2115,6270,1000,5270,0,1000,0,0,0,0,2,1,5,8,9,23.25,90.83,23,54, ,3,N,5,2,9980,57721,0,0,1920,1988,0, , ,2.96,3,0,3,1,1004020059,0,32,988951,203529,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,231.9518026,2117.588406,47741,1,0,10553,10554,9,2025,12.85000038,15.96666718,3.116666794,13.69209915,1.217422856,123.2288923 +10555,MN,236,21,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1F,149 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,S1,4,0,P,BES 3 LLC,2500,4590,1520,2000,0,1520,0,0,0,0,2,1,2.5,1,2,25,100.17,25,54, ,3,Y,5,2,63742,186264,0,0,1816,2009,0, ,STEPHEN VAN RENSSELAER HOUSE,1.84,6.02,6,6.5,1,1002360021,0,41,984889,201259,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,250.3549563,2411.074132,122522,0,0,10554,10555,12,2700,24.0720005,24.51377869,0.441778183,24.15368557,0.158906694,289.8442268 +10556,MN,107,7501,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1, ,250 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,RM,4,0, , ,3247,17700,5900,11800,0,5900,0,0,0,0,2,2,5,8,10,24.46,145.79,25,141, ,0,Y,0,5,76831,1105587,0,0,1900,0,0,South Street Seaport Historic District, ,5.45,6.02,6,6.5,1,1001077501,826,1501,983956,197362,12b,Y,101S023,10103, ,1001070032,1/28/1993,1,1,1,17V1.1,7,349.8905093,3458.118497,1028760,4,1,10555,10556,15,3375,6.215000153,6.215000153,0,6.215000153,0,93.22500229 +10557,MN,92,27,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,120 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,S4,4,0, ,120 NASSAU CORP.,1443,6543,1422,5121,0,1422,0,0,0,0,2,1,5,4,5,19,80.42,18,79, ,0,Y,5,2,112450,481839,0,22885,1900,0,0, , ,4.53,10,15,15,1,1000920027,0,1501,982362,198235,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,201.8420163,1570.648928,369389,4,0,10556,10557,8,1800,34.5909996,38.0055542,3.414554596,35.01781893,1.129257787,280.1425514 +10558,MN,630,7501,102,75,1005,2,3,10014,L005,6,15,6400,2,2, ,692 GREENWICH STREET,R6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,1802,8234,1982,6252,0,1982,0,0,0,0,2,1,5,4,5,0.04,0,0,0, ,0,N,5,5,116456,939733,2360,2360,1915,0,0,Greenwich Village Historic District Exte, ,4.57,2.43,0,4.8,1,1006307501,509,75,982120,206416,12a, ,103 011,10210, ,1006300020,2/20/1988,1, , ,17V1.1,7,206.8109703,1935.428783,823277,9,0,10557,10558,8,1800,17.43899918,20.11666679,2.677667618,18.02045774,1.022364356,144.163662 +10559,MN,202,15,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,156 CANAL STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,GEE INC,2050,6150,6150,0,4100,2050,0,0,0,0,2,2,3,0,3,18.5,75,18,75,E,3,Y,5,1,215550,1107450,0,0,1920,2011,2011, , ,3,3.44,6,6.5,1,1002020015,0,29,985118,200196,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,248.5130076,2192.823998,891900,14,0,10558,10559,10,2250,42.4090004,44.36444473,1.955444336,42.60454483,0.586633301,426.0454483 +10560,MN,177,7501,101,33,2007,2,1,10013,E007,1,15,7700,3,1, ,51 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, ,"51-53 LEONARD STREET,",4881,29476,0,29476,0,0,0,0,0,0,2,1,8,8,8,48.83,100,49,94, ,0,N,5,5,316846,3139751,0,0,1882,0,0, , ,6.04,6.02,6,6.5,1,1001777501,1248,33,982518,200909,12a, ,101S036,10105, ,1001770007,3/10/2003,1, , ,17V1.1,7,307.5464669,5192.308049,2822910,14,1,10559,10560,22,4950,10.73999977,10.73999977,0,10.73999977,0,236.279995 +10561,MN,637,55,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,370 WEST 11 STREET,C1-6A,C1-7, , , , , , , , ,Y,C3,2,0, ,GOLDEN CEDAR REALTY L,2160,4400,0,4400,0,0,0,0,0,0,2,1,4,4,4,21.58,100.08,22,50, ,3,N,5,5,125006,210029,0,0,1905,1988,0, , ,2.04,4,2,4,1,1006370055,0,75,981623,207106,12a, ,103 011,10210, ,0, ,1, ,1,17V1.1,0,240.3847427,1990.138781,85023,9,1,10560,10561,9,2025,10.04599953,10.60299969,0.55700016,10.29744403,0.273496431,92.67699623 +10562,MN,461,51,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,211 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,MARKSUE REALTY CORP,2425,7380,1200,6180,0,1200,0,0,0,0,2,1,5,20,22,25,97,25,60, ,3,N,5,1,270000,1266300,0,0,1905,1964,0,East Village/Lower East Side Historic Di, ,3.04,4,0,4,1,1004610051,0,38,986908,204373,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,253.3613583,2582.356716,996300,1,0,10561,10562,12,2700,36.55199814,40.97777939,4.42578125,37.6971283,1.559563424,452.3655396 +10563,MN,515,25,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,155 WOOSTER STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,155 WOOSTER STREET IN,5004,40500,23750,16750,14100,9650,0,0,0,0,2,1,8,14,23,50,100.12,50,100,E,3,N,5,2,900000,9060750,0,0,1900,2006,0,SoHo-Cast Iron Historic District, ,8.09,0,5,6.5,1,1005150025,0,49,984374,203923,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,305.5544019,5096.002277,8160750,9,0,10562,10563,23,5175,20.20444489,25.94999886,5.74555397,20.46823709,1.170551234,470.769453 +10564,MN,293,15,103,16,3003,2,1,10002,L006,5,14,7400,1,3,2B,70 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,FRIBERG REALTY COMPAN,2339,11195,1900,9295,0,1900,0,0,0,0,2,1,6,13,16,47.25,49.5,47,50, ,3,N,3,2,236250,1181250,0,0,1910,0,0, , ,4.79,3.44,6,6.5,1,1002930015,0,16,986222,199777,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,201.7877989,2544.503004,945000,16,0,10563,10564,10,2250,41.23199844,42.3457756,1.113777161,41.37919846,0.339432588,413.7919846 +10565,MN,827,40,105,58,1004,2,2,10010,E001,13,15,5700,1,5,1B,204 5 AVENUE,C5-2, , , , , , , , , ,N,K2,5,0,P,204 FIFTH AVENUE BUIL,2711,9798,9798,0,0,9798,0,0,0,0,2,1,4,0,1,28.17,90.75,28,102, ,3,Y,4,2,549000,2519550,0,0,1913,1977,0,Madison Square North Historic District, ,3.61,10,10,10,1,1008270040,0,58,987344,210019,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,256.3438436,2740.880297,1970550,2,0,10564,10565,12,2700,40.94300079,40.94300079,0,40.94300079,0,491.3160095 +10566,MN,181,41,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3A,24 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0,P,"MILLNER, GIEL",1527,5999,2999,3000,0,2999,0,0,0,0,2,1,4,3,5,30.08,50.42,30,52, ,3,Y,5,2,103500,942300,0,0,1915,0,0,Tribeca West Historic District, ,3.93,6.02,6,6.5,1,1001810041,0,39,981486,201194,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,172.2387392,1619.99239,838800,14,0,10565,10566,7,1575,16.79500008,17,0.204999924,16.9707143,0.07173503,118.7950001 +10567,MN,385,23,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,236 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,NUYORICAN POETS CAFE,2621,9450,1200,8250,0,1200,0,0,0,0,2,1,5,14,15,24.75,105.92,24.75,62, ,0,N,5,5,135000,620100,135000,620100,1900,0,0, , ,3.61,4,0,4,1,1003850023,0,2202,989286,202297,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,267.049435,2725.561052,485100,1,0,10566,10567,12,2700,16.86222267,18.85666656,1.994443893,17.28713004,0.747484382,207.4455605 +10568,MN,790,7501,104,81,4000,2,3,10011,L012,13,15,5600,1,4, ,136 1/2 WEST 15 STREET,R8B, , , , , , , , , ,N,R6,2,0, , ,1291,3337,0,3337,0,0,0,0,0,0,2,1,4,2,2,12.5,103.25,12.5,55, ,0,N,0,5,14666,100739,3620,3620,1901,0,0, , ,2.58,4,0,4,1,1007907501,1029,81,984771,208348,8d, ,103 028,10305, ,1007900157,3/11/1999,1, , ,17V1.1,7,236.5199206,1333.187876,86073,7,0,10567,10568,5,1125,27.73777771,30.37444496,2.636667252,28.26511116,1.054666901,141.3255558 +10569,MN,593,7502,102,71,5001,2,3,10014,E024,6,15,6100,2,2, ,147 WAVERLY PLACE,R6, , , , , , , , , ,N,R4,3,0, , ,4105,37298,0,37298,0,0,0,0,0,0,2,1,12,18,18,61.33,62,61.33,62, ,0,Y,0,5,549001,5785653,0,0,1915,2007,0,Greenwich Village Historic District, ,9.09,2.43,0,4.8,1,1005937502,1678,71,984003,206516,12c,Y,103 017,10208, ,1005930031,5/17/2007,1, , ,17V1.1,7,268.3941736,4522.454336,5236650,8,0,10568,10569,19,4275,17.50333405,17.50333405,0,17.50333405,0,332.5633469 +10570,MN,816,62,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,36 WEST 15 STREET,C6-2M, , , , , , , , , ,N,D0,3,0, ,36 W 15 ST OWNERS COR,2581,31272,1700,29572,0,1700,0,0,0,0,2,1,12,11,12,25,103.25,25,103, ,3,N,5,2,526500,3325950,4720,4720,1909,1988,0, , ,12.12,6.02,6,6.5,1,1008160062,0,54,985625,207875,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,266.5111924,2752.340062,2799450,7,0,10569,10570,14,3150,28.19599915,32.47333145,4.277332306,28.71869741,1.301506796,402.0617638 +10571,MN,529,61,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,41 BLEECKER STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,BLEEKER ST OWNERS COR,2375,11092,2000,9092,0,2000,0,0,0,0,2,1,4,4,5,30,75.75,30,76, ,2,Y,5,2,101041,474375,2360,2360,1924,1985,0,Noho East Historic District, ,4.67,0,5,6.5,1,1005290061,0,5502,985913,203742,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,226.6645139,2456.45793,373334,9,0,10570,10571,10,2250,41.23199844,41.23199844,0,41.23199844,0,412.3199844 +10572,MN,928,7501,106,64,5000,2,2,10010,E005,13,14,5900,1,6, ,379 1 AVENUE,C1-6A, , , , , , , , , ,N,RM,4,0,P,OWNER / AGENT,1839,5639,1051,4588,0,1051,0,0,0,0,2,1,5,8,10,0.04,0,0,0, ,0,N,5,5,124458,589944,0,0,1910,0,0, , ,3.07,4,2,4,1,1009287501,333,64,990020,207603,12c, ,104 009,10309, ,1009280025,12/25/1986,1, , ,17V1.1,7,206.7891422,2006.720852,465486,11,0,10571,10572,10,2250,14.22500038,14.22500038,0,14.22500038,0,142.2500038 +10573,MN,722,42,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,239 9 AVENUE,R8A, , , ,C1-5, , , , , ,N,C7,4,0, ,AIMCO 237 NINTH AVENU,2467,9510,1900,7610,0,1900,0,0,0,0,2,1,5,18,20,24.67,100,25,82, ,3,N,5,2,144450,1653300,0,0,1910,0,0, , ,3.85,6,0,6,1,1007220042,0,93,984011,211678,8d, ,105S005,10302, ,0, ,1, , ,17V1.1,0,263.1773161,2600.353872,1508850,2,1,10572,10573,13,2925,10.68099976,10.68099976,0,10.68099976,0,138.8529968 +10574,MN,700,31,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,317 10 AVENUE,C6-4, , , , , ,WCH, , , ,N,C7,4,0, ,PRADERA REALTY CORP,2467,7585,1100,6485,0,1100,0,0,0,0,2,1,5,8,10,24.67,100,25,64, ,3,N,5,2,29671,141423,0,0,1905,1987,0, , ,3.07,10,10,10,1,1007000031,0,99,983686,212952,8b, ,105S015,10301, ,0, ,1, , ,17V1.1,0,250.4996758,2409.418016,111752,2,1,10573,10574,12,2700,11.49300003,11.49300003,0,11.49300003,0,137.9160004 +10575,MN,162,33,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,3 DOYERS STREET,C6-1G,C6-1, , , , ,TA, , , ,Y,C7,4,0, ,3 DOYERS STREET LLC,1700,5700,1700,4000,0,1700,0,0,0,0,2,1,5,8,9,38,58,34,53, ,3,Y,5,2,156375,422042,0,0,1920,1987,0, , ,3.35,3.44,6,6.5,1,1001620033,0,29,984806,199494,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,182.4671323,1712.800739,265667,16,0,10574,10575,8,1800,30.90500069,37.31277847,6.407777786,31.70597291,2.11917331,253.6477833 +10576,MN,376,62,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,703 EAST 6 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,L8,6,0, ,703 6TH INC.,2002,6970,3590,3380,1690,0,1900,0,0,0,2,1,4,3,4,22.42,90.83,22.42,80, ,1,Y,5,1,117000,432450,0,0,1910,1989,0, , ,3.48,4,0,4,1,1003760062,0,2602,990145,202867,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,232.2205255,2141.550449,315450,12,1,10575,10576,9,2025,7.864444256,9.827777863,1.963333607,8.082592434,0.617016225,72.74333191 +10577,MN,778,74,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,372 8 AVENUE,C6-2A, , , , , , , , , ,N,S2,4,0,P,382 REALTY CORP,1175,2713,787,1926,0,787,0,0,0,0,2,1,3,2,3,18.08,65,18.08,36, ,0,N,5,2,42225,105614,0,0,1901,0,0, , ,2.31,6.02,6,6.5,1,1007780074,0,95,985451,212055,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,163.1138699,1076.186216,63389,2,0,10576,10577,5,1125,26.68777847,26.68777847,0,26.68777847,0,133.4388924 +10578,MN,502,7501,102,49,2002,2,1,10012,L020,1,15,6800,1,2, ,426 WEST BROADWAY,M1-5A,R7-2, , , , , , , , ,Y,RM,4,0,P,426 WEST BROADWAY C/O,8100,38499,6940,31559,0,5274,0,1666,0,0,2,1,6,34,36,166,84,0,0, ,0,N,5,5,1039501,7340401,11800,11800,1900,1983,0,SoHo-Cast Iron Historic District Extensi, ,4.75,0,5,6.5,1,1005027501,135,49,983778,203571,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,7,430.6044435,7875.609534,6300900,0,0,10577,10578,36,8100,12.81888866,17.29955673,4.480668068,12.94335167,0.736333049,465.96066 +10579,MN,744,41,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1A,207 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0, ,205 EIGHTH AVE LLC,2500,10800,2000,8800,0,2000,0,0,0,0,2,1,5,12,13,25,100,25,86, ,3,N,5,2,100800,1308600,0,0,1900,1986,0, , ,4.32,4,2,4,1,1007440041,0,89,984277,210304,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,250.6139653,2533.329362,1207800,7,0,10578,10579,10,2250,15.84222221,19.09444427,3.252222061,16.30344448,1.014854186,163.0344448 +10580,MN,300,18,103,16,3000,2,1,10002,L006,5,14,7400,1,3,2B,84 HESTER STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,AFRICAN AMERICAN RLTY,1450,7090,1400,5690,0,1400,0,0,0,0,2,1,5,12,13,29,50,29,49, ,3,N,3,2,99000,1185300,0,0,1910,1996,0, , ,4.89,3.44,6,6.5,1,1003000018,0,16,986396,200194,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,166.0741487,1613.127137,1086300,13,0,10579,10580,7,1575,39.09000015,39.42599869,0.335998535,39.17307935,0.133565194,274.2115555 +10581,MN,874,58,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,126 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,D3,3,0, ,126 EAST 19TH STREET,2300,9320,1200,8120,0,0,1200,0,0,0,2,1,5,9,10,25,92,25,79, ,3,N,5,2,48760,614610,0,0,1920,2006,0,Gramercy Park Historic District, ,4.05,4,0,4,1,1008740058,0,50,988082,207664,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,243.8904605,2419.428064,565850,5,0,10580,10581,10,2250,27.68333435,30.80888939,3.125555038,28.08411198,0.945578211,280.8411198 +10582,MN,283,43,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,121 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,D7,4,0, ,FUKIEN AMERICAN ASSNI,4094,18404,4000,14404,0,4000,0,0,0,0,2,1,6,30,33,85,48,78,47,E,2,N,3,2,330300,1275750,0,0,1900,1989,2004, , ,4.5,3.44,0,6.5,1,1002830043,0,6,986416,199301,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,279.5409585,4568.288979,945450,16,0,10581,10582,20,4500,32.40222168,36.76555634,4.363334656,33.16385517,1.551004914,663.2771034 +10583,MN,470,44,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1A,353 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,"EDWIN MOY, MANAGER",980,2800,980,1820,0,980,0,0,0,0,2,1,3,2,3,24.5,49,24.42,45.5, ,0,Y,5,5,19702,49233,0,0,1948,0,0, , ,2.86,6.02,6,6.5,1,1004700044,0,41,985578,201474,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,146.3628442,1117.049404,29531,0,0,10582,10583,4,900,31.67711258,35.30888748,3.631774902,33.11588955,1.534439246,132.4635582 +10584,MN,621,52,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,66 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,"LORBER, BARBARA HEYMA",1902,3840,0,2880,0,0,0,0,0,0,2,1,3,3,3,20,95.08,20,48, ,3,N,5,1,51868,221558,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006210052,0,73,983189,207155,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,233.085475,1956.509744,169690,8,0,10583,10584,7,1575,24.81222343,27.38999939,2.577775955,25.43666758,1.009346245,178.0566731 +10585,MN,494,12,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,248 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,S4,4,0, ,248 MULBERRY LLC,896,4140,828,3312,0,0,0,0,0,828,2,1,5,4,5,18.17,49.58,18,46, ,3,N,5,5,24289,88615,0,0,1910,1987,0, , ,4.62,6.02,6,6.5,1,1004940012,0,43,985450,202694,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,142.7386237,967.6430277,64326,0,0,10584,10585,5,1125,38.86500168,40.31388855,1.448886871,39.25289001,0.563494522,196.2644501 +10586,MN,623,30,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,68 BANK STREET,R6, , , , , , , , , ,N,C5,2,0, ,"DMD PROPERTY GROUP, L",2000,6380,0,6380,0,0,0,0,0,0,2,1,3.5,8,8,25,80,25,54, ,3,N,5,1,121094,364904,0,0,1910,1967,0,Greenwich Village Historic District, ,3.19,2.43,0,4.8,1,1006230030,0,77,983025,207627,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,212.4976527,2005.865526,243810,8,0,10585,10586,8,1800,22.60333252,22.60333252,0,22.60333252,0,180.8266602 +10587,MN,229,3,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,343 CANAL STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,CASA CANAL REALTY COR,2275,10900,10900,0,8700,2200,0,0,0,0,2,1,5,0,3,25.58,93.75,25,88,E,2,Y,5,2,209250,1282500,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,4.79,0,5,6.5,1,1002290003,0,47,983321,201881,12a, ,101N045,10105, ,0, ,1, , ,17V1.1,0,251.0124385,2631.416896,1073250,0,1,10586,10587,11,2475,9.686666489,11.49666691,1.81000042,9.851211981,0.520338536,108.3633318 +10588,MN,288,21,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,299 HENRY STREET,R7-2, , , , , , , , , ,N,P5,8,0,X,HENRY ST SETTLEMENT,5530,16102,16102,0,0,0,0,0,0,16102,2,1,4,0,1,72.08,77.25,72,76,E,3,Y,5,2,598500,2117250,598500,2117250,1962,0,0, , ,2.91,3.44,0,6.5,1,1002880021,0,202,989041,199496,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,307.1298004,5884.578258,1518750,13,0,10587,10588,25,5625,29.70800018,33.19778061,3.489780426,30.20653351,1.109321352,755.1633377 +10589,MN,523,32,102,55.01,1004,2,1,10012,L009,6,15,5700,1,2,2A,200 MERCER STREET,C6-2, , , , , , , , , ,N,D0,3,0, ,200 MERCER ST APT COR,14575,52000,0,52000,0,0,0,0,0,0,2,2,4,28,28,73,200,47,73, ,0,Y,4,2,999000,4666500,9440,9440,1940,2014,0,NoHo Historic District, ,3.57,6.02,6,6.5,1,1005230032,0,5501,985208,203924,12c, ,103 009,10206, ,0, ,1, , ,17V1.1,0,573.4637386,15318.31203,3667500,9,0,10588,10589,68,15300,35.67444611,39.25222015,3.577774048,35.84189039,0.667470605,2437.248547 +10590,MN,238,34,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1A,163 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,S9,4,0, ,LISA WOON HING CHU,1374,4190,1048,3142,0,1048,0,0,0,0,2,1,4,3,5,23,59.75,23,60,E,3,N,5,5,139559,242851,0,0,1920,1985,0, , ,3.05,6.02,6,6.5,1,1002380034,0,41,985235,200788,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,170.9465724,1458.488234,103292,0,0,10589,10590,5,1125,31.90200043,31.90200043,0,31.90200043,0,159.5100021 +10591,MN,886,33,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,137 EAST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,MARBLE HILL PROPERTIE,1975,6895,0,6895,0,0,0,0,0,0,2,1,5,10,10,20,98.75,20,84, ,3,N,5,2,126040,486423,0,0,1910,1986,0, , ,3.49,4,0,4,1,1008860033,0,72,989560,210270,8d, ,104 019,10307, ,1008860033,12/5/1984,1, , ,17V1.1,0,249.3532604,2133.436952,360383,10,0,10590,10591,10,2250,28.17889023,31.37444305,3.195552826,28.49844551,0.958665848,284.9844551 +10592,MN,293,3,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,12 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,M1,8,0,X,CONG ADATH JESHURUN,5250,7880,7880,0,0,0,0,0,0,7880,2,1,2,0,1,60,87.5,54,79, ,0,N,5,5,603900,2686950,603900,2686950,1910,2010,0, ,ELDRIDGE STREET SYNAGOGUE,1.5,3.44,6,6.5,1,1002930003,0,16,986061,199672,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,302.8314234,5428.988182,2083050,16,0,10591,10592,25,5625,38.23899841,44.18222427,5.943225861,39.14837204,1.942311648,978.709301 +10593,MN,719,32,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,413 WEST 21 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"BANIKARIM, MARYAM",2299,4354,0,4354,0,0,0,0,0,0,2,1,4,1,1,22,104.5,22,58,E,3,N,5,2,45927,191197,0,0,1900,1983,2008,Chelsea Historic District, ,1.89,3,0,3,1,1007190032,0,89,983455,210962,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,259.843632,2459.681719,145270,7,1,10592,10593,12,2700,9.307999611,16.15555573,6.847556114,11.92724061,2.902453253,143.1268873 +10594,MN,231,36,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,449 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0,P,"449 BROADWAY, LLC",5000,29000,29000,0,20000,9000,0,0,0,0,2,1,5,0,7,25,200,25,200, ,3,N,4,2,310050,5458950,0,0,1920,1982,0,SoHo-Cast Iron Historic District, ,5.8,0,5,6.5,1,1002310036,0,47,983854,201825,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,464.5277833,5324.250568,5148900,0,0,10593,10594,23,5175,12.30000019,18.30999947,6.009999275,12.56130451,1.225625883,288.9100037 +10595,MN,503,23,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,113 THOMPSON STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,PAAVO ROWE,1425,2850,380,2470,0,380,0,0,0,0,2,1,3,6,7,19,75,19,69, ,3,N,5,2,40063,152735,0,0,1900,1988,0,Sullivan-Thompson Historic District, ,2,3.44,0,6.5,1,1005030023,0,49,983707,203777,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,184.5018289,1327.521829,112672,0,0,10594,10595,6,1350,15.37666702,15.37666702,0,15.37666702,0,92.26000214 +10596,MN,871,56,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,128 EAST 16 STREET,R8B,R8A, , , , , , , , ,Y,D4,3,0, ,IRVING PLACE TENANT C,4896,17312,0,17312,0,0,0,0,0,0,2,1,5,13,13,47.42,103.25,25,76.5, ,3,N,5,5,427500,1990350,11800,11800,1920,1979,0, , ,3.54,4,0,4,1,1008710056,0,50,987711,207026,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,310.9296852,5129.050975,1562850,5,0,10595,10596,23,5175,33.78900146,36.27000046,2.480998993,33.99408357,0.665523924,781.8639221 +10597,MN,97,6,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,110 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,L8,6,0, ,SARNELLI CARMINE,1271,2535,2535,0,0,0,0,2535,0,0,2,1,2,0,2,16.75,79.17,17,79, ,3,Y,5,0,99900,179100,0,0,1900,1988,0,South Street Seaport Historic District, ,1.99,6.02,6,6.5,1,1000970006,0,1501,983702,196910,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,196.2746858,1292.53662,79200,4,1,10596,10597,6,1350,5.993332863,5.993332863,0,5.993332863,0,35.95999718 +10598,MN,819,44,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,126 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,"126-8 FIFTH AVENUE, L",6900,100621,81320,19301,74320,7000,0,0,0,0,2,1,15,11,33,60,115,60,112, ,0,N,3,2,1350000,10016100,0,0,1905,1980,0,Ladies' Mile Historic District, ,14.58,10,10,10,1,1008190044,0,54,986403,208334,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,372.7605249,7939.658724,8666100,7,0,10597,10598,35,7875,32.36888886,39.48666763,7.117778778,33.38656518,2.373184649,1168.529781 +10599,MN,740,54,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,344 WEST 17 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,CHELSEA VENTURA LLC,2300,10800,0,10800,0,0,0,0,0,0,2,1,6,25,25,25,92,25,72, ,3,Y,5,2,161550,1675350,0,0,1900,1987,0, , ,4.7,4,0,4,1,1007400054,0,83,983409,209693,8b, ,103 037,10303, ,1007400054,4/18/2006,1, , ,17V1.1,0,239.6513815,2257.380222,1513800,7,0,10598,10599,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +10600,MN,528,80,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,45 DOWNING STREET,R6, , , , , , , , , ,N,A9,1,0,P,LORE MONNIG,2700,6550,0,6550,0,0,0,0,0,0,2,1,3,1,1,29.58,90,29.58,85, ,2,Y,5,2,70591,214989,0,0,1899,0,0,Greenwich Village Historic District Exte, ,2.43,2.43,0,4.8,1,1005280080,0,67,983091,205005,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,245.7026458,2772.718084,144398,9,0,10599,10600,12,2700,15.38333321,15.38333321,0,15.38333321,0,184.5999985 +10601,MN,699,24,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,513 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,COLIN CONSTRUCTION CO,2475,4950,4950,0,2475,2475,0,0,0,0,2,1,2,0,2,25,98.75,25,99,E,3,N,5,2,112500,799200,0,0,1940,2004,0, , ,2,7.52,6,10,1,1006990024,0,99,983411,212793,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,248.0022144,2475.024762,686700,2,1,10600,10601,12,2700,12.50699997,16.25600052,3.749000549,12.81941668,1.036169013,153.8330002 +10602,MN,53,35,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,108 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,O6,5,0, ,CYP ENTERPRISE LLC,2488,15744,15744,0,11344,4400,0,0,0,0,2,1,7,0,7,26.17,94.96,26,82, ,3,Y,5,2,495000,1339200,0,0,1935,2016,0, , ,6.33,10,15,15,1,1000530035,0,13,980474,197441,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,259.1432511,2793.454638,844200,15,1,10601,10602,12,2700,7.869999886,7.869999886,0,7.869999886,0,94.43999863 +10603,MN,468,36,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,203 2 AVENUE,R7A,R8B, , ,C1-5, ,TA, , , ,Y,P7,8,0,P,UKRANIAN NATIONAL WOM,2879,7682,7682,0,0,0,0,0,0,7682,2,1,5,0,3,26.17,110,26,84,E,3,N,5,2,281250,565200,281250,565200,1920,1988,0, , ,2.67,4,0,4,1,1004680036,0,40,988145,205808,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,272.1091693,2874.626935,283950,12,0,10602,10603,13,2925,28.72333336,28.72333336,0,28.72333336,0,373.4033337 +10604,MN,573,75,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,61 WEST 9 STREET,R6, , , , , , , , , ,N,D4,3,0,P,61 WEST 9TH STREET TE,8210,56527,1170,55357,1170,0,0,0,0,0,2,1,10,60,61,89,92.25,89,78, ,3,N,5,2,855000,4861350,38580,38580,1926,1989,0,Greenwich Village Historic District, ,6.89,2.43,0,4.8,1,1005730075,0,63,984708,206731,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,368.3896217,8477.808674,4006350,8,0,10603,10604,39,8775,18.98099899,18.98099899,0,18.98099899,0,740.2589607 +10605,MN,449,18,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,58 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,58 ST. MARKS PLACE LL,2437,10905,1600,9305,0,1600,0,0,0,0,2,1,6,19,20,25,97.5,25,80, ,3,N,5,1,209250,1152450,0,0,1900,1988,0, , ,4.47,4,0,4,1,1004490018,0,38,987945,204479,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.0929163,2463.673039,943200,12,0,10604,10605,11,2475,26.66699982,30.09000015,3.423000336,26.97818167,0.984043408,296.7599983 +10606,MN,149,14,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,99 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,D7,4,0,P,JARIMA ASSOCIATES,3816,22500,3750,18750,0,3750,0,0,0,0,2,1,6,10,18,25.17,151.33,25,151, ,2,Y,3,2,756000,2442600,0,0,1938,0,0,Tribeca South Historic District, ,5.9,7.52,6,7.5,1,1001490014,0,21,982151,199808,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,368.3396205,4298.615272,1686600,14,0,10605,10606,19,4275,28.72777748,29.82299995,1.095222473,29.63025133,0.324337356,562.9747753 +10607,MN,394,37,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,195 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0,C,HOUSING PRESERVATION,1273,6365,800,5565,0,800,0,0,0,0,2,1,5,9,10,19,67,19,66, ,2,N,3,2,11391,54692,11391,54692,1910,0,0, , ,5,4,0,4,1,1003940037,0,28,990640,204185,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,181.377551,1435.316335,43301,12,1,10606,10607,7,1575,6.934999943,8.440000534,1.505000591,7.387936592,0.563173973,51.71555614 +10608,MN,589,38,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,311 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,L R R SHOES INC,1613,4540,1500,3040,0,1500,0,0,0,0,2,1,4,3,4,17.83,90,18,74,E,3,Y,5,5,183964,420158,0,0,1920,0,0,Greenwich Village Historic District Exte, ,2.81,3.44,0,6.5,1,1005890038,0,67,983724,205573,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,215.5996163,1601.981755,236194,9,0,10607,10608,7,1575,15.87222195,17.25977707,1.387555122,16.23377759,0.575383767,113.6364431 +10609,MN,587,43,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,63 BARROW STREET,R6, , , , , , , , , ,N,A4,1,0, ,MOSS ADAM,425,1071,0,1071,0,0,0,0,0,0,2,1,3,1,1,17,25,17,21, ,2,Y,5,2,18204,85431,0,0,1899,0,0,Greenwich Village Historic District, ,2.52,2.43,0,4.8,1,1005870043,0,67,982911,205902,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,87.36133429,450.2940405,67227,9,0,10608,10609,2,450,17.76222229,17.76222229,0,17.76222229,0,35.52444458 +10610,MN,792,60,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,142 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"RUBIN, DONALD CULTURA",2224,9280,3800,5480,0,3800,0,0,0,0,2,1,5,11,12,24.17,92,24,77, ,3,Y,5,2,114300,988200,45720,395280,1915,1987,0, , ,4.17,6.02,6,6.5,1,1007920060,0,81,984946,208838,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,242.2550181,2489.101758,873900,7,0,10609,10610,10,2250,27.66555595,27.66555595,0,27.66555595,0,276.6555595 +10611,MN,550,16,102,59,2000,2,1,10003,E033,6,15,5700,1,2,2A,58 WASHINGTON MEWS,R6, , , , , , , , , ,N,A4,1,0, ,NEW YORK UNIVERSITY,706,1400,0,1400,0,0,0,0,0,0,2,1,2,1,1,25,28.25,25,28, ,3,N,5,2,52500,140671,52500,120433,1899,0,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005500016,0,59,985403,205823,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,112.2233682,780.1424228,88171,8,0,10610,10611,3,675,26.29888916,26.29888916,0,26.29888916,0,78.89666748 +10612,MN,445,37,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,99 EAST 3 STREET,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,EV 1ST AVENUE PROPERT,962,4163,1115,3048,0,800,0,315,0,0,2,1,4,4,5,20,48.08,20,48, ,3,N,3,2,44067,332249,0,0,1910,2011,0, , ,4.33,4,0,4,1,1004450037,0,38,987689,203337,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,148.1365671,1142.362989,288182,1,0,10611,10612,5,1125,29.97444344,29.97444344,0,29.97444344,0,149.8722172 +10613,MN,770,41,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,180 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,C4,2,0,P,180 SEVENTH AVENUE AS,3096,6880,1500,5380,0,1500,0,0,0,0,2,1,4,13,16,43,72,43,40, ,3,N,5,2,119250,1343700,2360,2360,1920,0,0, , ,2.22,6,0,6,1,1007700041,0,87,985085,209877,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,232.5187031,3151.314827,1224450,7,0,10612,10613,15,3375,22.20999908,29.28222275,7.072223663,23.56274007,2.707598368,353.4411011 +10614,MN,823,43,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,168 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O5,5,0, ,168 5 AVE RLTY CORP,6240,21944,14352,7592,8632,5720,0,0,0,0,2,2,5,5,11,52,120,52,110,E,3,N,5,2,675000,7012350,0,0,1940,1988,0,Ladies' Mile Historic District, ,3.52,10,10,10,1,1008230043,0,58,986865,209177,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,343.3853886,6182.369034,6337350,7,0,10613,10614,26,5850,38.59666824,40.33888626,1.742218018,38.71592448,0.416529664,1006.614037 +10615,MN,595,7506,102,37,1018,2,3,10013,L008,1,15,6800,1,2, ,482 GREENWICH STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,174,17097,1170,15927,0,912,0,0,0,258,2,1,9,7,9,59.25,96,0,0, ,0,Y,0,5,14660,298357,0,79550,2011,0,0, , ,98.26,6.02,6,6.5,1,1005957506,2365,37,981619,203442,12a, ,101N063,10208, ,1005950052,11/19/2012,1,1,1,17V1.1,7,279.3483368,3315.270191,283697,0,1,10614,10615,15,3375,8.45222187,9.087778091,0.635556221,8.781955592,0.152445757,131.7293339 +10616,MN,912,6,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,207 EAST 31 STREET,R7B, , , , , , , , , ,N,S1,4,0, ,"KOTEN, JOHN",650,2030,507,1523,0,507,0,0,0,0,2,1,3,1,2,17,50.75,17,35, ,3,Y,5,5,108600,110280,1550,1550,1901,0,0, , ,3.12,3,0,3,1,1009120006,0,70,990108,210230,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,129.6483467,690.2572451,1680,10,0,10615,10616,4,900,26.45000076,26.45000076,0,26.45000076,0,105.8000031 +10617,MN,745,7502,104,89,5000,2,3,10011,L012,10,15,5600,1,4, ,360 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,RM,4,0, , ,19750,25337,25337,0,989,12553,11795,0,0,0,2,1,16,217,219,200,98.75,0,0, ,0,N,5,5,3100049,23256900,152150,152150,1963,0,0,Chelsea Historic District Extension, ,1.28,3,0,3,1,1007457502,739,89,983839,210861,8b, ,103 038,10303, ,1007450071,12/12/1990,1, , ,17V1.1,7,605.7431758,20213.25357,20156900,7,0,10616,10618,89,20025,15.97222233,19.23111153,3.258889198,16.26543702,0.675604574,1447.623895 +10618,MN,830,78,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,832 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S9,4,0, ,54 W 29TH STREET LLC,1781,4988,1788,3200,0,1788,0,0,0,0,2,1,4,4,7,23.75,75,23.75,75,E,3,N,3,2,261764,1412640,0,0,1915,2000,0, , ,2.8,10,10,10,1,1008300078,0,76,987057,211228,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,205.6270551,1996.912861,1150880,6,0,10617,10619,8,1800,44.29222107,44.47777939,0.185558319,44.43450022,0.05448617,355.4760017 +10619,MN,285,17,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,217 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,S9,4,0,P,217 EAST BROADWAY MAN,2100,5024,1680,3344,0,1680,0,0,0,0,2,1,4,4,6,24,87.5,24,75,E,3,N,5,5,171199,361261,0,0,1910,2015,0, , ,2.39,3.44,0,6.5,1,1002850017,0,6,987749,199428,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,231.083488,2162.977841,190062,13,0,10618,10620,11,2475,23.9640007,26.88111115,2.917110443,24.22919256,0.83861029,266.5211182 +10620,MN,377,1,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,110 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S2,4,0, ,L G G DEVELOPERS LTD,1503,2790,921,1869,0,921,0,0,0,0,2,1,3,2,3,18.25,82.33,18.25,45,E,0,N,5,5,17938,41353,0,0,1901,0,0, , ,1.86,4,0,4,1,1003770001,0,2602,990221,203117,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,206.548242,1514.746094,23415,12,1,10619,10621,7,1575,7.409999847,8.090555191,0.680555344,7.507222039,0.238144762,52.55055428 +10621,MN,914,33,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,617 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,S3,4,0, ,IDEAL REALTY LLC,1296,3112,692,2420,0,692,0,0,0,0,2,1,3,3,4,18.5,70,19,40, ,3,N,5,5,240033,556974,0,0,1910,1989,0, , ,2.4,10,2,10,1,1009140033,0,70,990811,210573,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,182.6935004,1364.444303,316941,10,0,10620,10622,5,1125,17.92555618,19.96777725,2.042221069,18.51871147,0.808016763,92.59355736 +10622,MN,16,7514,101,317.04,4005,2,1,10004,E010,1,15,8900, ,1, ,30 LITTLE WEST STREET,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,MILLENIUM TOWER RESID,20763,344863,2856,342007,0,2856,0,0,0,0,2,1,35,233,234,202.76,102.4,202,102, ,1,Y,0,5,4495509,52588808,4495509,52588808,2006,0,0, , ,16.61,0,0,0,1,1000167514,1623,31704,979510,196575,12b, ,101S093,10101, ,1000160042,1/8/2007,1,1,1,17V1.1,7,611.3283792,20101.94742,48093300,15,1,10621,10623,90,20250,8.685555458,11.07111168,2.385556221,9.048876572,0.281090559,814.3988914 +10623,MN,271,51,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,166 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,MANLEY LAUNDROMAT INC,2608,11535,1000,10535,0,1000,0,0,0,0,2,1,5,21,22,26.08,100,26,87, ,3,N,5,2,103500,443700,0,0,1900,1960,0, , ,4.42,3.44,0,6.5,1,1002710051,0,6,987272,199131,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,257.2105324,2636.937261,340200,16,0,10622,10624,10,2250,17.59499931,22.93333244,5.33833313,18.26849937,1.609734678,182.6849937 +10624,MN,204,1,102,41,3002,2,1,10013,L006,5,15,6800,1,2,1F,94 MOTT STREET,C6-2G,C6-1G, , , , ,LI, , , ,Y,O5,5,0,P,CHEW LUN-LUN HING ASS,7044,42000,42000,0,36000,3000,0,3000,0,0,2,1,6,0,8,74.67,94.25,75,94,E,3,N,5,2,670500,2960550,0,0,1920,1989,0, , ,5.96,6.02,6,6.5,1,1002040001,0,41,985002,200548,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,345.2755717,7319.398231,2290050,0,0,10623,10625,35,7875,36.00444412,41.16555405,5.161109924,36.2844441,1.139076695,1269.955544 +10625,MN,844,25,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,39 UNION SQUARE,C6-4,M1-5M, , , , ,US, , , ,Y,K1,5,0,P,HARTFORD PROPERTIES 4,4275,4275,4275,0,0,4275,0,0,0,0,2,1,1,0,1,28.5,150,26,100, ,3,N,5,2,738000,1499850,0,0,1974,2009,0, , ,1,10,10,10,1,1008440025,0,52,986797,207815,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,387.7537315,4820.405929,761850,7,0,10624,10626,21,4725,41.19499969,43.76111221,2.566112518,41.61214284,0.776066371,873.8549995 +10626,MN,402,15,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,144 EAST 7 STREET,R7B, , , , , , , , , ,N,D9,3,0, ,JRC REALTY,9405,36705,0,36705,0,0,0,0,0,0,2,1,5,79,79,100,96.83,100,76, ,3,Y,5,2,900000,4248900,0,0,1925,2009,0, , ,3.9,3,0,3,1,1004020015,0,32,989009,203601,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,399.5745714,9632.760737,3348900,12,0,10625,10627,42,9450,12.85000038,16.51111221,3.661111832,13.40674114,1.191090061,563.083128 +10627,MN,797,83,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,201 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S4,4,0,C,HOUSING PRESERVATION,925,3700,740,2960,0,740,0,0,0,0,2,1,5,4,5,18.5,50,18.5,40,E,3,N,5,5,145789,337504,145789,337504,1910,0,0, , ,4,6,0,6,1,1007970083,0,87,985341,210011,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,136.8025904,871.0492031,191715,7,0,10626,10628,5,1125,28.16444397,28.16444397,0,28.16444397,0,140.8222198 +10628,MN,802,7501,105,95,1003,2,3,10001,E001,13,15,5200,1,5, ,144 WEST 27 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,6682,66740,8093,58647,0,8093,0,0,0,0,2,1,12,24,25,67.67,98.75,0,0, ,0,N,5,5,773998,11559148,30201,152258,1911,0,0, , ,9.99,0,10,10,1,1008027501,848,95,986204,211068,8d, ,105S012,10305, ,1008020067,12/16/1993,1, , ,17V1.1,7,341.5043034,7006.115173,10785200,2,0,10627,10629,32,7200,32.50999832,35.3777771,2.867778778,32.70842218,0.680903736,1046.66951 +10629,MN,65,10,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1B,9 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,D5,3,0,P,PHOENIX EQUITY VENTUR,4792,58354,6856,51498,0,6856,0,0,0,0,2,1,15,66,68,56.5,88,56,84, ,3,Y,5,2,1309500,6489900,0,0,1900,1985,0, , ,12.18,10,15,15,1,1000650010,0,1502,981682,197824,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,300.425151,5259.355675,5180400,3,0,10628,10630,23,5175,27.25,29.17399979,1.923999786,28.96352635,0.55214101,666.1611061 +10630,MN,742,20,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,329 WEST 18 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,MARIE C BANNISTER,2009,3360,0,2520,0,0,0,0,0,0,2,1,3,3,3,21.83,92,21.83,40, ,2,N,5,1,38701,123087,1550,1550,1920,0,0, , ,1.67,3,0,3,1,1007420020,0,89,983726,209967,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,229.1276834,2023.856261,84386,7,0,10629,10631,8,1800,15.59444427,15.59444427,0,15.59444427,0,124.7555542 +10631,MN,426,26,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,203 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,C7,4,0,P,203 CHRYSTIE STREET R,1667,6835,1375,5460,0,1375,0,0,0,0,2,1,5,20,21,25,66.67,25,55, ,3,N,5,1,292500,1384200,0,0,1900,1992,0, , ,4.1,7.52,6,7.5,1,1004260026,0,3601,986469,202437,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,192.6301543,1819.081618,1091700,13,0,10630,10632,8,1800,41.51444626,41.51444626,0,41.51444626,0,332.1155701 +10632,MN,878,8,105,68,2001,2,2,10010,E014,13,14,5300,1,6,1B,111 EAST 22 STREET,R9A, , , , , , , , , ,N,W9,8,0, ,SHNEM HASAR LLC,4938,19750,19750,0,0,4465,0,0,0,15285,2,1,4,0,2,50,98.75,50,98.75, ,3,N,5,2,1350000,3574800,0,0,1914,1963,0, , ,4,7.52,0,7.52,1,1008780008,0,68,988128,208664,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,301.9268952,5044.774149,2224800,11,0,10631,10633,23,5175,26.03777695,26.03777695,0,26.03777695,0,598.8688698 +10633,MN,827,67,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,36 WEST 26 STREET,M1-6, , , , , , , , , ,N,S4,4,0, ,36W26 OWNER LLC,1840,6691,1300,5391,0,1300,0,0,0,0,2,1,5,4,5,18.5,98.75,19,98,E,3,N,5,5,190394,386306,0,0,1920,0,0, , ,3.64,0,10,10,1,1008270067,0,58,986847,210416,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,239.0097941,1827.090233,195912,2,0,10632,10634,9,2025,38.00333405,42.8362236,4.832889557,38.54032177,1.518830657,346.862896 +10634,MN,412,2,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,174 ORCHARD STREET,C4-4A, , , , , , , , , ,N,K1,5,0, ,DSL REALTY GROUP INC.,2450,2450,2450,0,0,2450,0,0,0,0,2,1,1,0,2,25,98,25,87, ,3,N,5,0,247500,406350,0,0,1975,2013,0, , ,1,4,4,4,1,1004120002,0,3001,987520,202154,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,253.7892223,2614.863974,158850,1,0,10633,10635,10,2250,33.61600113,33.61600113,0,33.61600113,0,336.1600113 +10635,MN,771,54,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,228 WEST 22 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,"JP HOUSE, LLC",1975,5605,0,4484,0,0,0,0,0,0,2,1,4,1,1,20,98.75,20,55,E,3,N,5,1,28155,157366,0,0,1901,2008,2008, , ,2.84,4,0,4,1,1007710054,0,87,985003,210215,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,241.1225632,2004.763643,129211,7,0,10634,10636,9,2025,22.72999954,26.59111214,3.861112595,23.71728388,1.4674385,213.455555 +10636,MN,465,24,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,31 STUYVESANT STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"MURPHY, ROSA GARCIA",627,2375,0,2375,0,0,0,0,0,0,2,1,5,2,2,19,35,19,25, ,3,Y,5,2,44439,82917,0,0,1850,0,0,St. Mark's Historic District, ,3.79,4,0,4,1,1004650024,0,40,987514,205265,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,108.4863004,676.2216336,38478,12,0,10635,10637,2,450,33.48777771,33.48777771,0,33.48777771,0,66.97555542 +10637,MN,195,7,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,396 BROADWAY,C6-2A, , , , , , , , , ,N,O6,5,0, ,BRIDGETON 396 BROADWA,5052,61219,61219,0,48894,0,0,0,0,12325,2,1,10,0,23,28,175,28,174, ,2,Y,3,2,697500,2451548,0,0,1915,0,0,Tribeca East Historic District, ,12.12,6.02,6,6.5,1,1001950007,0,31,983636,200994,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,422.2897333,5554.733087,1754050,14,0,10636,10638,24,5400,16.86000061,18.84933281,1.989332199,17.89330586,0.348920919,429.4393406 +10638,MN,610,23,102,73,6006,2,3,10014,Q018,6,15,6400,1,2,2K,180 WAVERLY PLACE,R6, , , , , , , , , ,N,B3,1,0, ,ETHEL S. PALEY,1454,3542,0,2567,0,0,0,0,0,0,2,1,3,2,2,17,85.5,17,40,E,3,N,5,1,32995,136515,5690,5690,1839,0,0,Greenwich Village Historic District, ,2.44,2.43,0,4.8,1,1006100023,0,73,983817,206784,12a, ,103 017,10209, ,0, ,1, , ,17V1.1,0,212.0707532,1554.578773,103520,8,0,10637,10639,7,1575,20.06299973,20.06299973,0,20.06299973,0,140.4409981 +10639,MN,376,11,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,238 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"JOHANNA ASSOCIATES,",4131,16962,0,16962,0,0,0,0,0,0,2,1,6,30,30,45.42,90.83,45,76, ,3,N,5,2,360000,1554300,0,0,1900,0,0, , ,4.11,4,0,4,1,1003760011,0,2602,990240,202921,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,276.09388,4187.095915,1194300,12,1,10638,10640,19,4275,7.864444256,8.960000038,1.095555782,7.922105086,0.244634186,150.5199966 +10640,MN,804,37,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,821 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K2,5,0, ,"SUNBEN REALTY, INC.",1912,7870,7870,0,0,3355,0,4515,0,0,2,1,5,0,1,24.67,77.5,25,74, ,3,N,5,2,499500,1081800,0,0,1920,0,0, , ,4.12,10,10,10,1,1008040037,0,95,986857,211224,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,206.0477651,1972.761123,582300,2,0,10639,10641,10,2250,40.67900085,40.67900085,0,40.67900085,0,406.7900085 +10641,MN,769,5,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,263 WEST 19 STREET,C6-2A,R8B, , , , , , , , ,Y,C4,2,0, ,EIGHTH-19TH CO.,2471,10075,1200,8875,0,1200,0,0,0,0,2,1,5,16,18,28,78.08,28,78,E,2,Y,5,2,126900,977400,0,0,1901,1987,0, , ,4.08,6.02,6,6.5,1,1007690005,0,87,984341,209904,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,254.3569399,2635.827814,850500,7,0,10640,10642,12,2700,21.88888931,21.88888931,0,21.88888931,0,262.6666718 +10642,MN,626,12,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,631 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,D4,3,0, ,61 JANE ST TENANTS CO,16682,262297,0,262297,0,0,0,0,0,0,2,1,19,261,261,176.58,101.58,176.58,89, ,0,Y,3,2,3870000,25430400,357175,357175,1963,0,0,Greenwich Village Historic District, ,15.72,3.44,2,6.5,1,1006260012,0,79,982619,208311,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,593.9738308,18233.8433,21560400,8,0,10641,10643,82,18450,15.42222214,17.37222099,1.949998856,15.49201345,0.305253327,1270.345103 +10643,MN,331,65,103,12,2005,1,1,10002,L018,7,14,7600,1,3,2B,484 GRAND STREET,R7-2, , , ,C1-5, , , , , ,N,D4,3,0,P,HILLMAN HOUSING CORP,92400,299510,7938,291572,0,7938,0,0,0,0,2,1,12,258,263,184.58,351.08,137,293, ,1,N,3,2,6300000,16398450,944398,944398,1949,0,0, ,HISTORIC STREET LAMPPOSTS,3.24,3.44,0,6.5,1,1003310065,0,12,989118,199902,12d,Y,101N082,10201, ,0, ,1, , ,17V1.1,0,1593.470922,94463.41737,10098500,13,0,10642,10644,419,94275,16.77222252,36.42778015,19.65555763,23.02207913,4.381198971,9646.251156 +10644,MN,281,41,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,47 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0,P,C K D DIVISION REALTY,1726,11635,11634,0,0,1662,0,9972,0,0,2,1,7,0,4,25.25,68.17,25,68, ,3,Y,5,2,149400,810450,0,0,1920,0,0, , ,6.74,3.44,6,6.5,1,1002810041,0,8,985563,199415,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,191.9494279,1782.22065,661050,16,0,10643,10645,6,1350,35.10200119,35.10200119,0,35.10200119,0,210.6120071 +10645,MN,393,6,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,169 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LESPMHA HOUSING DEVEL,2356,9385,1000,8385,1000,0,0,0,0,0,2,1,5,9,10,25.33,93,25.33,80, ,0,N,5,5,35265,459844,0,411906,1900,1991,0, , ,3.98,4,0,4,1,1003930006,0,28,989961,204194,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,243.2167884,2507.980309,424579,12,1,10644,10646,12,2700,9.383999825,12.3922224,3.00822258,9.791296164,0.939441935,117.495554 +10646,MN,446,4,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,78 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0,P,78 SECOND LLC,2400,7868,1574,6294,0,1574,0,0,0,0,2,1,5,5,6,24,100,24.04,90, ,3,N,5,2,40489,291397,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.28,4,0,4,1,1004460004,0,38,987320,203898,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,254.9485391,2434.222632,250908,1,0,10645,10647,11,2475,32.62111282,36.11111069,3.489997864,32.93838536,1.003303844,362.3222389 +10647,MN,434,43,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,429 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,429 EAST 6TH STREET L,4163,9187,0,9187,0,0,0,0,0,0,2,1,5,20,20,25,90.83,25,70, ,3,N,5,2,194850,526500,0,0,1920,1988,0,East Village/Lower East Side Historic Di, ,2.21,4,0,4,1,1004340043,0,32,988466,203796,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,241.7336074,2457.329608,331650,1,0,10646,10648,11,2475,18.26222229,22.42000008,4.157777786,19.04010096,1.358692597,209.4411106 +10648,MN,878,42,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,294 3 AVENUE,C2-8A, , , , , , , , , ,N,C7,4,0, ,"TEDFORD'S TENANCY, LL",1520,6000,1000,5000,0,1000,0,0,0,0,2,1,6,7,8,24,70,24,48, ,3,Y,5,2,104092,446183,0,0,1920,0,0, , ,3.95,10,2,10,1,1008780042,0,68,988805,208411,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,197.4157001,1582.08767,342091,11,0,10647,10649,8,1800,22.27111053,22.27111053,0,22.27111053,0,178.1688843 +10649,MN,903,31,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,389 2 AVENUE,C1-9A, , , , , ,TA, , , ,N,C7,4,0,X,TREE OF LIFE FELLOWSH,1536,3980,2069,1911,0,1113,0,0,0,956,2,1,4,7,9,19.5,78,20,64,E,3,Y,5,2,141867,577730,141867,577730,1910,0,0, , ,2.59,10,2,10,1,1009030031,0,64,989397,208030,12c, ,104 007,10308,E-8,0, ,1, , ,17V1.1,0,200.4013862,1587.539447,435863,11,0,10648,10650,7,1575,19.86555672,19.86555672,0,19.86555672,0,139.058897 +10650,MN,634,14,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,122 BANK STREET,R6, , , , , , , , , ,N,O2,5,0,X,H.B.PLAYWRIGHTS FDTSI,2375,3610,3610,0,3610,0,0,0,0,0,2,1,4,4,4,25,95,20,45,E,3,N,5,0,148500,367650,148500,367650,1910,1982,0,Greenwich Village Historic District, ,1.52,2.43,0,4.8,1,1006340014,0,75,982139,207455,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,240.5003074,2312.235074,219150,8,0,10649,10651,9,2025,14.98200035,17.63555527,2.653554916,15.56469154,0.982286478,140.0822239 +10651,MN,277,44,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,28 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,CHINATOWN PRESERVATIO,2512,9885,1900,7985,0,1900,0,0,0,0,2,1,5,20,22,25,100,25,86, ,3,N,5,2,136800,608400,116280,517140,1900,1987,0, , ,3.94,3.44,0,6.5,1,1002770044,0,8,985237,198910,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,256.2169189,2577.202757,471600,16,0,10650,10652,11,2475,21.55400085,27.25555611,5.701555252,22.07232406,1.639081891,242.7955647 +10652,MN,518,50,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,34 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,S1,4,0, ,NUCHTERN SIMON,1451,5000,1400,3600,0,1400,0,0,0,0,2,1,3,1,2,25.5,56.92,25.5,56.92, ,2,N,3,5,58414,145946,1550,1550,1899,0,0,Sullivan-Thompson Historic District, ,3.45,3.44,0,6.5,1,1005180050,0,49,983443,204117,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,170.0148992,1596.134822,87532,9,0,10651,10653,7,1575,20.52111053,23.61444473,3.093334198,20.96301542,1.082441484,146.7411079 +10653,MN,784,50,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,210 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,K4,4,0, ,210 WEST 35 LLC,1852,5458,5458,0,0,3606,0,1852,0,0,2,1,4,0,4,18.75,98.75,19,99,E,3,N,5,2,148050,1251900,0,0,1920,0,0, , ,2.95,0,10,10,1,1007840050,0,109,986827,213125,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,240.3724966,1781.859895,1103850,6,0,10652,10654,7,1575,34.68444443,34.68444443,0,34.68444443,0,242.791111 +10654,MN,90,7502,101,15.01,1006,2,1,10038,E006,1,15,7700,1,1, ,105 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,EDGAR HOUSE CONDOMINI,2760,24953,4070,20883,0,4070,0,0,0,0,2,1,10,9,10,35,70,0,0, ,0,Y,0,5,513321,2799359,2360,2360,1923,0,0, , ,9.04,10,15,15,1,1000907502,1137,1501,982187,198220,12b, ,11S/019,10103, ,1000900020,12/14/2000,1, , ,17V1.1,7,224.4984816,2902.79489,2286040,0,0,10653,10655,14,3150,35.69444275,35.69444275,0,35.69444275,0,499.7221985 +10655,MN,562,7502,102,61,2001,2,2,10003,E033,6,15,5700,3,2, ,56 EAST 11 STREET,C6-1, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2372,2332,2332,0,0,2332,0,0,0,0,2,1,9,8,9,25,94.75,0,0, ,0,N,5,5,42239,711549,2360,2360,1900,0,0, , ,0.98,3.44,6,6.5,1,1005627502,554,61,986285,206251,12c, ,103 025,10207, ,1005620012,11/1/1988,1, , ,17V1.1,7,249.7477559,2485.672147,669310,8,0,10654,10656,11,2475,34.39444351,35.27133179,0.876888275,34.47416063,0.252087655,379.2157669 +10656,MN,558,49,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,109 EAST 12 STREET,C6-2A, , , , , , , , , ,N,S4,4,0, ,109 EAST 12TH STREET,2581,5824,1124,4700,0,1124,0,0,0,0,2,1,4,4,5,25,103.25,25,56, ,3,N,5,5,148824,312774,0,0,1900,0,0, , ,2.26,6.02,6,6.5,1,1005580049,0,42,987212,206221,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,259.4635624,2618.275205,163950,12,0,10655,10657,11,2475,38.19900131,38.19900131,0,38.19900131,0,420.1890144 +10657,MN,801,40,104,91,1000,2,3,10010,E001,13,15,5200,1,4,2A,763 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S3,4,0,P,ALAML CORP.,1200,3720,1100,2620,0,1100,0,0,0,0,2,1,4,3,4,20,60,20,60,E,3,N,5,5,296239,669500,0,0,1901,2007,0, , ,3.1,10,10,10,1,1008010040,0,91,986491,210546,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,170.4473215,1354.390541,373261,2,0,10656,10658,5,1125,40.39599991,40.39599991,0,40.39599991,0,201.9799995 +10658,MN,16,7516,101,317.03,2007,2,1,10282,L010,1,15,8900,1,1, ,1 RIVER TERRACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X, ,30713,507070,97236,409834,0,1453,66159,385,0,29239,2,1,31,243,248,164,248,235.77,164.32, ,0,Y,5,5,1349998,66205189,1349998,66205189,2006,0,0, , ,16.51,0,0,0,1,1000167516,1858,31703,979731,199946,12a,Y,11S 093,10101, ,1000160270,10/6/2008,1,1, ,17V1.1,7,1176.375831,31075.43029,64855200,3,1,10657,10659,136,30600,11.6077776,18.71999931,7.112221718,12.06164224,1.209997998,1640.383345 +10659,MN,720,3,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,489 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,C0,2,0, ,EDWARD B FRIEDMAN,1547,3000,0,3000,0,0,0,0,0,0,2,1,4,3,3,15.67,98.75,15.67,50, ,3,N,5,2,51590,150974,0,0,1910,0,0,Chelsea Historic District Extension, ,1.94,3,0,3,1,1007200003,0,93,983078,211465,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,220.0599042,1487.688095,99384,2,1,10658,10660,6,1350,9.369999886,9.369999886,0,9.369999886,0,56.21999931 +10660,MN,879,63,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,38 LEXINGTON AVENUE,C6-4A, , , , , , , , , ,N,K9,5,0,P,JIANGSON REALTY INC,988,2964,2964,0,988,988,0,988,0,0,2,1,3,0,2,19.75,50,19.75,50, ,3,N,3,0,195750,441000,0,0,1900,1989,0, , ,3,10,10,10,1,1008790063,0,68,988540,208940,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,150.8872136,1161.573997,245250,11,0,10659,10661,5,1125,28.24111176,29.04866791,0.807556152,28.40262299,0.323022461,142.0131149 +10661,MN,579,43,102,37,3007,2,3,10013,L008,1,15,6800,1,2,1B,43 DOMINICK STREET,M1-6, , , , , ,HSQ, , , ,N,U1,7,0, ,PORT OF N Y AUTH,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,80.36,62.03,0,0, ,0,Y,5,5,0,0,0,0,0,0,0, , ,0,0,10,10,1,1005790043,0,37,982287,203533,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,387.2901254,6405.313129,0,0,0,10660,10662,27,6075,15.93900013,18.70555496,2.766554832,17.09177794,0.671194844,461.4780045 +10662,MN,624,22,102,79,4006,2,3,10014,L005,6,15,6100,1,2,3Q,8 BETHUNE STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,8-10 BETHUNE/791 GREE,2700,8276,0,8276,0,0,0,0,0,0,2,1,5,15,15,31.42,68.08,31.48,61, ,3,N,0,0,132300,1452600,35869,35869,1901,0,0, , ,3.07,3.44,2,6.5,1,1006240022,0,79,982516,207829,12a, ,103 013,10210, ,1006240008,3/6/2013,1, , ,17V1.1,0,248.1690609,3122.628667,1320300,8,0,10661,10663,12,2700,15.52555561,15.52555561,0,15.52555561,0,186.3066673 +10663,MN,553,26,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,177 MAC DOUGAL STREET,C4-5, , , , , ,LC, , , ,N,K4,4,0, ,"STRAUS , JULIA",2507,9834,4917,4917,0,3278,0,0,0,1639,2,1,5,5,7,25,102.33,25,65.33, ,3,Y,5,0,213750,1074150,0,0,1900,0,0,Greenwich Village Historic District, ,3.92,3.44,3.4,6.5,1,1005530026,0,63,984690,206270,12c, ,103 018,10207, ,1005530026,10/24/2012,1, , ,17V1.1,0,249.9687047,2461.137501,860400,8,0,10662,10664,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +10664,MN,556,65,103,42,1002,1,2,10003,L003,9,14,6200,1,3,4B,66 3 AVENUE,C6-2A, , , , , , , , , ,N,J8,5,0, ,ABS 66 THIRD LLC,7742,54328,54328,0,0,0,0,0,0,54328,2,1,4,0,1,77.42,100,77.42,100, ,0,N,3,5,1035000,4749300,0,0,1900,1990,2015, , ,7.02,6.02,6,6.5,1,1005560065,0,42,987351,205825,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,362.5225169,8071.260668,3714300,12,0,10663,10665,36,8100,37.67444229,37.67444229,0,37.67444229,0,1356.279922 +10665,MN,220,26,101,33,3003,2,1,10013,L008,1,15,7700,1,1,3B,34 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,LAIGHT STREET ASSOCIA,5060,25300,5060,20240,5060,0,0,0,0,0,2,1,5,9,9,29,175.25,29,175, ,3,Y,4,2,319769,1603101,0,0,1915,1987,1998,Tribeca North Historic District, ,5,6.02,6,6.5,1,1002200026,0,33,982215,202401,12a, ,101N042,10105, ,0, ,1, , ,17V1.1,0,411.8579779,5012.856543,1283330,0,1,10664,10666,22,4950,11.22399998,11.82444382,0.60044384,11.25129288,0.125071789,247.5284433 +10666,MN,522,4,102,55.02,2005,2,1,10012,L009,9,15,5700,1,2,2A,620 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0,P,620 BROADWAY HOUSING,5407,32440,4325,28115,0,4325,0,0,0,0,2,1,6,11,12,31.75,196.67,32,187, ,2,Y,4,1,540000,3726450,2360,2360,1900,1988,0,NoHo Historic District, ,6,0,5,6.5,1,1005220004,0,5502,985353,203654,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,466.8962701,5890.162142,3186450,9,0,10665,10667,26,5850,40.37099838,40.86777878,0.496780396,40.39010532,0.095534691,1050.142738 +10667,MN,909,1,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,407 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,D4,3,0, ,CHESAPEAKE OWNERS COR,23576,253489,15700,237789,0,15700,0,0,0,0,2,1,20,252,264,148.67,193.33,141,186,G,2,Y,3,1,2452500,24171750,234375,234375,1964,1988,0, , ,10.75,10,2,10,1,1009090001,0,66,989715,209612,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,702.1786481,25030.36434,21719300,11,0,10666,10668,111,24975,34.61700058,41.26222229,6.64522171,36.61433132,1.806863308,4064.190777 +10668,MN,518,6,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,48 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,S2,4,0, ,"SUNSAN K, LLC",1580,4440,1500,2940,0,1500,0,0,0,0,2,1,3,2,3,20.83,75.83,20,36,E,2,N,5,5,49044,122208,0,0,1899,0,0,Sullivan-Thompson Historic District, ,2.81,3.44,0,6.5,1,1005180006,0,49,983552,204243,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,202.4182421,1669.493506,73164,9,0,10667,10669,8,1800,20.52111053,25.08777809,4.566667557,21.09194398,1.510283334,168.7355518 +10669,MN,741,2,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1B,110 9 AVENUE,C2-6A, , , , , , , , , ,N,C7,4,0,P,110 NINTH AVENUE CORP,2625,10420,2400,8020,0,2400,0,0,0,0,2,1,5,17,19,26.25,100,26,90, ,3,N,5,2,157500,1459800,0,0,1910,1986,0, , ,3.97,4,2,4,1,1007410002,0,83,983268,209935,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,257.6287896,2822.791685,1302300,7,0,10668,10670,12,2700,15.59444427,15.59444427,0,15.59444427,0,187.1333313 +10670,MN,540,7501,102,65,2001,2,1,10012,L009,6,15,5700,2,2, ,173 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,BLEECKER ST OPERATING,5000,19784,4040,15744,0,4040,0,0,0,0,2,2,5,36,41,50,100,0,100, ,0,N,5,5,427500,1813950,2,2,1900,0,0,South Village Historic District, ,3.96,3.44,0,6.5,1,1005407501,567,65,984109,204902,12c, ,103 007,10207, ,1005400037,11/1/1988,1, , ,17V1.1,7,305.1767388,5160.897501,1386450,9,0,10669,10671,24,5400,22.5755558,22.5755558,0,22.5755558,0,541.8133392 +10671,MN,135,17,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,98 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,S9,4,0, ,"ONLY PROPERTIES, LLC",1875,8313,3000,5313,0,3000,0,0,0,0,2,1,5,4,6,25,75,25,75, ,0,N,5,5,158262,771147,0,0,1900,0,0, , ,4.43,7.52,6,7.5,1,1001350017,0,21,982105,199629,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,206.2903509,1982.011608,612885,3,0,10670,10672,9,2025,31.82088852,32.66199875,0.841110229,32.49180137,0.320378575,292.4262123 +10672,MN,355,10,103,30.01,3002,1,1,10002,L018,7,14,6600,1,3,2A,164 ESSEX STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,19512,0,0,0,0,0,0,0,0,0,7,1,1,0,0,100,170,0,19, ,0,Y,3,5,918000,1162350,918000,1162350,1920,0,0, , ,0,0,0,0,1,1003550010,0,3001,988122,202245,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,597.8396481,19988.82984,244350,1,0,10671,10673,88,19800,27.21777725,29.99333382,2.775556564,28.30390161,0.674867941,2490.743341 +10673,MN,480,24,102,41,6000,2,1,10012,E055,5,15,6800,1,2,1G,203 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,HEY HEY REALTY LLC,2457,11095,1330,9765,0,1330,0,0,0,0,2,2,5,16,20,25.5,93.92,25,95, ,2,Y,3,2,87750,1886400,0,0,1900,1961,0, , ,4.52,6.02,6,6.5,1,1004800024,0,41,985456,202131,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,247.1308702,2599.653244,1798650,0,0,10672,10674,12,2700,38.9980011,41.5288887,2.530887604,39.56885274,0.907108939,474.8262329 +10674,MN,927,23,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,339 EAST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"GJAFEROJ, CAZIM",2500,4680,0,4680,0,0,0,0,0,0,2,1,4,8,8,25,100,25,47, ,3,N,5,2,48155,255762,0,0,1920,0,0, , ,1.87,4,0,4,1,1009270023,0,64,989833,207425,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,260.2868359,2692.221995,207607,5,0,10673,10675,12,2700,12.9244442,16.33333397,3.408889771,14.46362956,1.536984928,173.5635548 +10675,MN,572,4,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,408 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K4,4,0, ,GREENWICH VILLAGE PRO,1552,5292,4522,770,0,4522,0,0,0,0,2,1,3,1,3,20,77.58,20,77,E,3,N,5,2,206550,1179450,0,0,1910,0,0,Greenwich Village Historic District, ,3.41,3.44,3.4,6.5,1,1005720004,0,63,984496,206601,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,200.8232661,1588.006834,972900,8,0,10674,10676,7,1575,18.70499992,19.08222198,0.377222061,18.75888879,0.132000224,131.3122215 +10676,MN,925,42,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,346 EAST 20 STREET,R8B,C1-6A, , , , , , , , ,Y,C7,4,0,P,346-50 EAST 20TH STRE,5520,23364,500,22864,0,500,0,0,0,0,2,1,6,37,38,60,92,60,78, ,3,N,5,1,495000,2644650,0,0,1920,1965,0, , ,4.23,4,0,4,1,1009250042,0,64,989644,207077,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,313.5213606,5808.30744,2149650,5,0,10675,10677,25,5625,15.27999973,16.91444397,1.634444237,15.36271088,0.323778894,384.0677719 +10677,MN,293,14,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,74 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WORLD'S SAM YICK CORP,998,4570,800,3770,0,800,0,0,0,0,2,1,5,8,9,20.17,49.5,20,50, ,3,N,5,0,101188,295682,0,0,1900,0,0, , ,4.58,3.44,6,6.5,1,1002930014,0,16,986189,199791,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,142.6793066,1062.849503,194494,16,0,10676,10678,5,1125,41.23199844,42.42555618,1.193557739,41.47070999,0.477423096,207.35355 +10678,MN,146,18,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,142 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,142 DUANE ST OWNERS C,4817,29000,4800,24200,0,4800,0,0,0,0,2,1,7,8,9,41.25,116.08,41,109, ,3,N,5,2,316925,2371407,2360,2360,1920,1999,2008,Tribeca South Historic District, ,6.02,6.02,6,6.5,1,1001460018,0,33,982073,200156,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,319.9044351,4717.039171,2054480,14,0,10677,10679,20,4500,16.87777901,19.09166527,2.213886261,16.98847332,0.482505324,339.7694664 +10679,MN,898,47,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,216 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"CHANES, ERNEST",2300,5000,0,3750,0,0,0,0,0,0,2,1,3,2,2,25,92,25,50,E,2,N,5,1,78960,199065,0,0,1901,0,0,Stuyvesant Square Historic District, ,2.17,3,0,3,1,1008980047,0,48,988520,207142,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,238.0115725,2250.382263,120105,5,0,10678,10680,10,2250,22.7840004,27.2788887,4.494888306,24.50917816,2.117096434,245.0917816 +10680,MN,804,24,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,121 WEST 28 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,HAN'S 28 HOSPITALITY,4938,71500,0,0,0,0,0,0,0,0,2,1,23,0,1,50,98.75,50,60, ,0,N,5,5,4500000,16742700,0,0,2006,0,0, , ,14.48,0,10,10,1,1008040024,0,95,986630,211305,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,303.6511892,5128.356825,12242700,2,0,10679,10681,22,4950,34.47000122,35.50999832,1.039997101,35.03125208,0.346303816,770.6875458 +10681,MN,458,45,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,8 EAST 2 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,SMITH CHARLES H,1600,6312,1244,5068,0,1244,0,0,0,0,2,1,5,2,3,25,63.75,25,50, ,3,Y,5,2,32186,79903,1550,1550,1899,2011,0, , ,3.95,4,0,4,1,1004580045,0,3602,986639,203616,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,182.1317387,1671.75357,47717,1,0,10680,10682,8,1800,39.7840004,43.89777756,4.113777161,40.76272249,1.698110717,326.1017799 +10682,MN,831,2,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,838 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,YUNG BROTHERS REAL ES,4940,26314,26314,0,22014,4300,0,0,0,0,2,2,6,0,7,49.33,100,49,96,E,3,N,5,2,1233000,3128400,0,0,1911,0,0, , ,5.33,10,10,10,1,1008310002,0,76,987127,211326,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,308.2015934,5278.633555,1895400,6,0,10681,10683,23,5175,41.16799927,42.93888855,1.770889282,41.43828914,0.591572863,953.0806503 +10683,MN,164,7,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,42 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,42 MULBERRY,3486,13120,3100,10020,0,3100,0,0,0,0,2,2,5,15,17,42.08,84,42,70, ,3,Y,5,2,210150,786600,0,0,1915,1986,0, , ,3.76,3.44,6,6.5,1,1001640007,0,29,984411,199744,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,259.8157259,3708.905493,576450,14,0,10682,10684,10,2250,20.62111092,22.80333328,2.182222366,20.83933315,0.65466671,208.3933315 +10684,MN,940,31,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,597 1 AVENUE,C1-9A, , , , , , , , , ,N,Z4,8,0,P,GOVERNMENT OF PEOPLE',6898,90000,90000,0,90000,0,0,0,0,0,2,1,3,84,86,49.33,109.67,49.33,97, ,2,Y,3,5,1767150,19114650,1767150,19114650,1921,0,0, , ,13.05,10,2,10,1,1009400031,0,78,991534,210373,8d, ,104 024,10309,E-62,0, ,1,1,1,17V1.1,0,421.1412927,7611.199076,17347500,10,1,10683,10685,35,7875,8.051111221,14.06322193,6.01211071,8.222885813,1.001609381,287.8010035 +10685,MN,475,40,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,52 WOOSTER STREET,M1-5B, , , , , , , , , ,N,D6,4,0, ,52 WOOSTER HOLDINGS L,2500,15512,1536,13976,0,1536,0,0,0,0,2,1,6,5,6,25,100.17,0,0, ,2,N,3,0,231750,1697634,0,0,2014,0,0,SoHo-Cast Iron Historic District, ,6.2,0,5,6.5,1,1004750040,0,47,983632,202571,12a, ,101N070,10206,R-137,0, ,1, , ,17V1.1,0,259.3422629,2760.523057,1465880,0,1,10684,10686,11,2475,11.10222244,11.7877779,0.685555458,11.30676764,0.230419464,124.374444 +10686,MN,877,48,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,274 3 AVENUE,C2-8A, , , , , , , , , ,N,S0,4,0, ,274 THIRD AVENUE LLC,1650,2856,924,1932,0,924,0,0,0,0,2,1,3,1,3,22,75,22,75, ,0,N,5,5,148800,242220,0,0,1930,1957,0, , ,1.73,10,2,10,1,1008770048,0,68,988658,208158,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,204.2187138,1797.693378,93420,5,0,10685,10687,7,1575,22.27111053,22.69444466,0.423334122,22.33158684,0.148136084,156.3211079 +10687,MN,499,18,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,96 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,96 100 PRINCE STREET,3320,14569,2914,11655,0,2914,0,0,0,0,2,1,5,4,5,45.92,72.25,46,70,E,3,N,5,2,72350,760329,2360,2360,1900,2008,2008,SoHo-Cast Iron Historic District, ,4.39,0,5,6.5,1,1004990018,0,49,984550,203269,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,250.8517307,3781.061673,687979,0,0,10686,10688,16,3600,22.35555458,30.36444473,8.008890152,22.85611022,1.938643636,365.6977634 +10688,MN,799,69,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,152 WEST 24 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,152 WEST 24 FEE LLC,2469,10087,7020,3067,2725,1935,0,2360,0,0,2,1,3,1,4,25,98.75,0,0, ,0,N,5,5,198900,988200,0,0,1882,2003,0, , ,4.09,0,10,10,1,1007990069,0,91,985737,210443,8d, ,15S 011,10305, ,1007991004,12/12/2005,1, , ,17V1.1,0,251.0618179,2592.780054,789300,2,0,10687,10689,11,2475,29.26199913,29.26199913,0,29.26199913,0,321.8819904 +10689,MN,910,56,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,210 EAST 30 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"FRIEDMAN, JULIE",1852,3520,0,2624,0,0,0,0,0,0,2,1,3,2,2,18.75,98.75,18.75,48, ,3,N,5,1,91790,153446,0,0,1901,0,0, , ,1.9,3,0,3,1,1009100056,0,70,989946,209877,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,237.3534215,1871.388382,61656,10,0,10688,10690,8,1800,34.37666702,38.71333313,4.336666107,35.4395833,1.841515501,283.5166664 +10690,MN,543,21,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,116 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,"FPC COFFEES RLTY CO,I",2500,15880,2302,13578,0,2302,0,0,0,0,2,1,7,24,29,25,100,25,94, ,2,N,3,2,184050,1397250,0,0,1900,1967,0,South Village Historic District, ,6.35,3.44,0,6.5,1,1005430021,0,65,984144,205350,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,256.7101748,2723.003746,1213200,9,0,10689,10691,12,2700,19.06100082,22.67000008,3.608999252,19.62288968,1.260162536,235.4746761 +10691,MN,286,11,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,229 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,WFCC REALTY CORP,2290,10620,0,10620,0,0,0,0,0,0,2,1,6,24,24,26.17,87.5,26,75, ,3,N,5,2,155250,803700,0,0,1900,1985,0, , ,4.64,3.44,0,6.5,1,1002860011,0,201,988093,199375,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,235.0706107,2360.175309,648450,13,0,10690,10692,12,2700,29.71888924,29.71888924,0,29.71888924,0,356.6266708 +10692,MN,282,78,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,83 DIVISION STREET,C6-1G, , , , , , , , , ,N,M9,8,0,X,EASTERN BUDDHIST ASSO,1688,3563,3563,0,0,0,0,0,0,3563,2,1,3,0,1,25,67.5,25,50,E,3,N,5,2,176400,512100,176400,512100,1900,0,0, , ,2.11,3.44,6,6.5,1,1002820078,0,8,986022,199463,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,184.0443733,1642.99638,335700,16,0,10691,10693,9,2025,37.20222092,38.05666733,0.854446411,37.29715941,0.268526601,335.6744347 +10693,MN,406,1,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,194 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,AVENUE A CORNER OWNER,1486,5496,1000,4496,0,1000,0,0,0,0,2,1,4,6,8,28.67,51.83,29,51, ,2,N,3,2,10792,234978,0,0,1910,2009,0, , ,3.7,4,0,4,1,1004060001,0,34,989503,204907,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,159.7473236,1460.697232,224186,12,0,10692,10694,6,1350,13.0880003,13.0880003,0,13.0880003,0,78.52800179 +10694,MN,437,19,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,276 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,TOMPKINS WEST REAL ES,2306,4916,0,4916,0,0,0,0,0,0,2,1,5,12,12,25,92.25,25,46, ,3,N,5,1,225000,655200,0,0,1900,1982,0, , ,2.13,4,0,4,1,1004370019,0,34,988885,204525,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,235.4819189,2318.511497,430200,12,0,10693,10695,11,2475,17.51666641,18.76666641,1.25,17.79206051,0.394018532,195.7126656 +10695,MN,283,35,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,139 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,PATMUND REALTY CORP,1875,7350,1400,5950,0,1400,0,0,0,0,2,1,5,12,14,25,75,25,62, ,3,N,5,2,128250,555750,0,0,1900,1961,0, , ,3.92,3.44,0,6.5,1,1002830035,0,6,986623,199312,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,199.9247148,1874.5231,427500,16,0,10694,10696,10,2250,31.39800072,37.72444534,6.326444626,32.64128952,2.487064177,326.4128952 +10696,MN,962,130,106,62,1000,2,4,10016,E016,17,14,6000,1,6,2A,570 1 AVENUE,R8, , , , , , , , , ,N,U6,7,0, ,NATIONAL RAILROAD PAS,7840,0,0,0,0,0,0,0,0,0,7,1,0,0,0,80,98,0,0, ,0,N,5,5,0,0,0,0,0,0,0, , ,0,6.02,0,6.5,1,1009620130,0,62,991554,209884,8d, ,104 025,10310, ,0, ,1, ,1,17V1.1,0,343.2452333,7484.201575,0,10,1,10695,10697,33,7425,8.640000343,10.11222172,1.472221375,9.194714026,0.324416245,303.4255629 +10697,MN,878,32,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,151 EAST 22 STREET,C2-8A,R9A, , , , , , , , ,Y,M1,8,0,X,GUSTAUVS LUTHERAN CHU,4937,5660,5660,0,0,0,0,0,0,5660,2,1,3,0,1,50,98.75,50,98.75, ,0,N,5,2,697500,1213650,697500,1213650,1900,1961,0, , ,1.15,10,2,10,1,1008780032,0,68,988674,208360,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,300.4688998,4993.929062,516150,11,0,10696,10698,23,5175,22.27111053,25.66200066,3.390890121,23.59798058,1.654897705,542.7535534 +10698,MN,288,47,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,503 GRAND STREET,R7-2, , , , , , , , , ,N,S2,4,0, ,503 GRAND CORP.,1234,2523,959,1564,0,959,0,0,0,0,2,1,3,2,3,17.5,78.83,17.5,55, ,0,Y,5,5,26517,51254,0,0,1915,0,0, , ,2.04,3.44,0,6.5,1,1002880047,0,202,989128,199583,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,188.7577391,1304.345707,24737,13,0,10697,10699,6,1350,29.70800018,32.88777542,3.179775238,30.23796272,1.185032264,181.4277763 +10699,MN,451,48,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,327 EAST 9 STREET,R8B, , , , , , , , , ,N,B1,1,0,P,327-335 EAST 9 REALTY,1845,7346,0,7346,0,0,0,0,0,0,2,1,6,2,2,20,92.25,20,53, ,3,N,5,4,35337,70406,0,0,2013,2011,0, , ,3.98,4,0,4,1,1004510048,0,40,988171,204811,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,231.6345086,1871.837742,35069,12,0,10698,10700,9,2025,23.70444489,28.58888817,4.884443283,27.18793805,1.678067033,244.6914425 +10700,MN,478,22,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,188 BOWERY,C6-1, , , , , ,LI, , , ,N,S9,4,0, ,TWO SPRING ASSOCIATES,3530,16050,4815,11235,1605,3210,0,0,0,0,2,1,5,6,8,25.08,101.25,25,95, ,2,Y,3,2,90090,721920,0,0,1930,1988,2014, , ,4.55,3.44,6,6.5,1,1004780022,0,41,985858,201947,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,273.2190507,3572.251039,631830,0,0,10699,10701,15,3375,38.05444717,40.67778015,2.623332977,38.45933558,0.852135406,576.8900337 +10701,MN,394,66,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,605 EAST 11 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C4,2,0, ,"TORRES, JUAN",2559,9718,0,9718,0,0,0,0,0,0,2,1,5,20,20,25.17,103.25,25,82, ,2,N,5,2,108000,747450,0,0,1920,0,0, , ,3.8,4,0,4,1,1003940066,0,28,990097,204317,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,265.4466369,2774.309638,639450,12,1,10700,10702,12,2700,6.934999943,11.26644421,4.331444263,8.114138802,1.484541682,97.36966562 +10702,MN,404,28,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,174 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,PARK EAST TENTH LLC,1750,6150,1000,5150,0,1000,0,0,0,0,2,1,5,8,9,25,70,25,70,E,2,N,3,2,36856,81315,0,0,1900,1986,0, , ,3.51,4,0,4,1,1004040028,0,34,989865,204307,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,199.1209011,1975.953274,44459,12,1,10701,10703,10,2250,12.34555531,12.61555576,0.270000458,12.51255531,0.065889739,125.1255531 +10703,MN,851,51,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,36 EAST 23 STREET,C6-4M, , , , , , , , , ,N,O6,5,0, ,36 EAST 23RD ST. ASSO,2450,24038,24038,0,21838,2200,0,0,0,0,2,1,10,0,19,25,98.75,25,96,E,3,N,5,2,540000,2085750,0,0,1905,0,0, , ,9.81,10,10,10,1,1008510051,0,56,987707,209012,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,257.7942093,2553.269089,1545750,11,0,10702,10704,12,2700,32.49111176,35.80222321,3.31111145,32.76703771,0.91514286,393.2044525 +10704,MN,876,13,106,50,1002,2,2,10003,E014,13,14,5300,1,6,1B,4 GRAMERCY PARK WEST,R7B,C6-4A, , , , , , , ,LH-1,Y,C5,2,0, ,CHELSEA LAND CO. LLC,2888,7800,0,7800,0,0,0,0,0,0,2,1,4,6,6,26.25,110,26,78,E,3,N,5,5,202632,724877,0,0,1900,1985,1994,Gramercy Park Historic District, ,2.7,3,0,3,1,1008760013,0,50,987883,208278,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,276.1036616,2891.646013,522245,5,0,10703,10705,12,2700,31.73777771,34.02000046,2.282222748,32.2628425,0.916752584,387.15411 +10705,MN,805,7502,105,95,1000,2,3,10001,E001,14,15,5200, ,5, ,835 AVENUE OF THE AMER,C6-4X,M1-6, , , , , , , , ,Y,RM,4,0, , ,32433,598594,145947,265158,0,23629,122318,0,0,0,2,2,53,301,304,0.74,0,197.5,139.5, ,0,Y,0,5,17100001,129798098,0,29729676,2010,0,0, , ,18.46,10,10,10,1,1008057502,2134,95,986943,211476,8d, ,105S023,10305, ,1008050059,10/19/2010,1, , ,17V1.1,7,780.2412417,33120.67766,112698000,6,0,10704,10706,148,33300,34.63499832,41.3777771,6.742778778,34.87978814,1.177564254,5162.208645 +10706,MN,611,47,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,22 CHARLES STREET,R6, , , , , , , , , ,N,C5,2,0, ,22 CHARLES STREET ASS,1500,3840,0,3840,0,0,0,0,0,0,2,1,3,6,6,20,75,20,71,E,2,N,5,5,146518,439553,0,0,1920,0,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006110047,0,71,983896,207057,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,192.0748846,1518.109185,293035,8,0,10705,10707,6,1350,19.84000015,22.83555603,2.995555878,20.33925947,1.116377762,122.0355568 +10707,MN,821,55,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,18 WEST 20 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,DEZER PROPERTIES II L,9200,93722,93722,0,86622,7100,0,0,0,0,2,1,11,0,56,75,184,75,178, ,2,Y,4,2,1800000,10478700,0,0,1906,0,0,Ladies' Mile Historic District, ,10.19,10,10,10,1,1008210055,0,54,986332,208884,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,540.9526263,9918.825807,8678700,7,0,10706,10708,44,9900,32.91555405,37.80666733,4.891113281,33.1794229,1.034408865,1459.894608 +10708,MN,797,80,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,207 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S4,4,0,C,HOUSING PRESERVATION,937,3700,888,2812,0,888,0,0,0,0,2,1,5,4,5,18.75,50,18.75,50, ,2,N,3,5,166230,384827,166230,384827,1910,1985,0, , ,3.95,6,0,6,1,1007970080,0,87,985368,210059,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,144.0227955,1056.897124,218597,7,0,10707,10709,5,1125,28.16444397,28.66777802,0.503334045,28.32000008,0.203802612,141.6000004 +10709,MN,573,60,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,31 WEST 9 STREET,R6, , , , , , , , , ,N,S9,4,0, ,GREEN SUSAN,1607,3868,1934,1934,1159,775,0,0,0,0,2,1,4,4,6,17.42,92.25,17,54, ,3,N,5,5,165101,669315,0,0,1900,1985,0,Greenwich Village Historic District, ,2.41,2.43,0,4.8,1,1005730060,0,63,985005,206567,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.0546821,1554.156157,504214,8,0,10708,10710,9,2025,18.98099899,18.98099899,0,18.98099899,0,170.8289909 +10710,MN,275,24,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,34 MARKET STREET,R7-2, , , , , , , , , ,N,K4,4,0,P,"BLASOF, ARTHUR",1930,2830,2830,0,0,1400,0,0,0,1430,2,1,2,0,1,22.25,86.75,22.25,84.75, ,0,N,5,5,76500,217800,0,0,1900,1968,0, , ,1.47,3.44,0,6.5,1,1002750024,0,8,985874,198905,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,224.2915062,2037.860082,141300,16,0,10709,10711,11,2475,30.54333305,30.54333305,0,30.54333305,0,335.9766636 +10711,MN,422,42,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,204 FORSYTH STREET,C4-4A, , , , , , , , , ,N,D1,3,0, ,"204 FORSYTH STREET, L",4967,19860,0,19860,0,0,0,0,0,0,2,1,7,11,11,49.67,100,49,0, ,0,N,5,5,1673100,3147750,0,0,2015,2013,0, , ,4,4,4,4,1,1004220042,0,3601,986936,202587,12c, ,102 002,10204,E-216,1004220042,12/20/2013,1, , ,17V1.1,0,300.1538239,4907.928386,1474650,1,0,10710,10712,23,5175,38.41600037,41.74777603,3.331775665,40.88976852,0.706440529,940.4646759 +10712,MN,588,78,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,23 GROVE STREET,R6, , , , , , , , , ,N,D3,3,0,P,ZAPATA 23 LLC,2625,11838,0,11838,0,0,0,0,0,0,2,1,6,25,25,25,108.75,25,94, ,3,Y,5,2,247050,1405350,0,0,1888,1980,0,Greenwich Village Historic District, ,4.51,2.43,0,4.8,1,1005880078,0,73,982801,206236,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,274.7593944,2838.459229,1158300,9,0,10711,10713,12,2700,20.90555573,20.90555573,0,20.90555573,0,250.8666687 +10713,MN,499,36,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,107 SPRING STREET,M1-5A, , , , , , , , , ,N,K4,4,0,P,WALLER REALTY INC,1400,3739,2839,900,900,1275,0,664,0,0,2,2,3,1,3,25,56,25,56, ,3,N,3,2,315000,1662750,0,0,1900,1988,0,SoHo-Cast Iron Historic District, ,2.67,0,5,6.5,1,1004990036,0,49,984357,202899,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,173.9985515,1596.391772,1347750,0,0,10712,10714,8,1800,22.35555458,22.35555458,0,22.35555458,0,178.8444366 +10714,MN,585,32,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,66 BARROW STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,1073,4235,0,4235,0,0,0,0,0,0,2,1,5,5,5,18.5,58,19,48, ,3,N,5,2,101162,239791,5296,5296,1910,1983,0,Greenwich Village Historic District, ,3.95,2.43,0,4.8,1,1005850032,0,73,982708,205901,12a, ,103 004,10208, ,0, 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,17V1.1,0,308.9635294,5139.816029,3430350,8,0,10715,10717,23,5175,16.45777702,18.70999908,2.252222061,16.55569972,0.459298167,380.7810936 +10717,MN,623,51,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,273 WEST 11 STREET,R6, , , , , , , , , ,N,H8,8,0, ,NOEL BLAIR AS CO-TRUS,5126,14500,0,0,0,0,0,0,0,0,2,2,3,0,1,25,102,25,58,E,3,N,5,1,731250,1314900,0,0,1900,1980,0,Greenwich Village Historic District, ,2.83,2.43,0,4.8,1,1006230051,0,77,983010,207519,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,304.7394877,5138.124766,583650,8,0,10716,10718,22,4950,22.60333252,27.44666672,4.843334198,24.26515094,2.020615804,533.8333206 +10718,MN,504,39,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,203 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C6,2,0, ,SPRING ST APT CORP,2857,12662,1690,10972,0,1690,0,0,0,0,2,1,6,17,20,45.08,70,45,69, ,2,Y,3,2,164250,1579500,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.43,3.44,0,6.5,1,1005040039,0,49,983307,203582,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,223.4963834,2983.606741,1415250,0,0,10717,10719,12,2700,17.73666573,18.31599998,0.579334259,18.17116642,0.250859093,218.053997 +10719,MN,97,51,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,237 WATER STREET,C6-2A, , , , , ,LM, , , ,N,W3,8,0,P,THE BLUE MAN CREATIVI,7473,31984,31984,0,0,0,0,0,0,31984,2,1,6,0,1,99.92,73.5,100,73, ,0,Y,5,5,1460250,6260400,1460250,6260400,1989,2011,0,South Street Seaport Historic District, ,4.28,6.02,6,6.5,1,1000970051,0,1501,983567,197149,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,360.4986296,7763.073671,4800150,4,1,10718,10720,35,7875,5.993332863,7.153333187,1.160000324,6.061072568,0.23439441,212.1375399 +10720,MN,615,26,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,242 WEST 12 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"LOFFREDO, STEPHEN J",1463,2880,0,2880,0,0,0,0,0,0,2,1,3,3,3,20.08,76.67,20.08,44, ,3,Y,5,2,35971,139345,0,0,1899,0,0,Greenwich Village Historic District, ,1.97,2.43,0,4.8,1,1006150026,0,77,983592,207955,12a, ,103 016,10209, ,0, ,1, , 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REALT,2612,10230,0,10230,0,0,0,0,0,0,2,1,5,19,21,26.08,100.17,26,87, ,3,N,5,2,110250,409950,0,0,1900,1987,0, , ,3.92,3.44,0,6.5,1,1002710045,0,6,987363,199038,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.239867,2655.330067,299700,16,0,10724,10726,11,2475,17.21111107,19.36666679,2.155555725,17.58868686,0.801665252,193.4755554 +10726,MN,574,7,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,458 AVENUE OF THE AMER,C1-6,R6, , , , , , , , ,Y,C7,4,0, ,78 WEST 11 STREET LLC,3227,14432,1500,12932,0,1500,0,0,0,0,2,1,6,21,22,34.5,121,34,86, ,2,Y,3,2,508500,2993850,0,0,1920,1984,0,Greenwich Village Historic District, ,4.47,3.44,2,6.5,1,1005740007,0,63,984789,207112,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,283.1495739,3403.763375,2485350,8,0,10725,10727,16,3600,20.66300011,23.04111099,2.378110886,21.02195144,0.782490313,336.351223 +10727,MN,797,18,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,133 WEST 21 STREET,C6-3A, , , , , , , , , ,N,W9,8,0,P,"SS 133 W 21,LLC",9924,115895,108197,7698,0,0,0,0,0,108197,2,1,12,1,5,100.5,98.75,101,98, ,3,N,5,2,1845000,10779750,0,0,1911,1985,0, , ,11.68,7.52,6,7.5,1,1007970018,0,87,985617,209761,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,409.0086799,10452.09854,8934750,7,0,10726,10728,46,10350,28.16444397,28.16444397,0,28.16444397,0,1295.564423 +10728,MN,436,44,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,107 ST MARKS PLACE,R8B, , , , , , , , , ,N,D3,3,0,P,"JESSCO HOLDINGS, LLC",8904,25610,0,25610,0,0,0,0,0,0,2,1,6,48,48,75.75,97.75,75,64, ,3,N,5,2,792000,3352050,0,0,1920,1972,1983, , ,2.88,4,0,4,1,1004360044,0,32,988676,204249,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,345.4001201,7327.485509,2560050,12,0,10727,10729,33,7425,17.84799957,22.58111191,4.733112335,19.00642401,1.680169341,627.2119923 +10729,MN,180,7505,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,17 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,2273,1000,0,1000,0,0,0,0,0,0,2,1,5,5,5,0.05,0,0,0, ,0,N,0,5,116662,706339,2360,2360,1920,0,0,Tribeca West Historic District, ,0.44,6.02,6,6.5,1,1001807505,860,39,981507,200956,12a, ,101S037,10105, ,1001800016,12/30/1993,1, , ,17V1.1,7,245.22464,2360.346852,589677,14,0,10728,10730,10,2250,15.85299969,16.57944489,0.726445198,15.92564421,0.217933559,159.2564421 +10730,MN,11,10,101,9,1004,2,1,10004,L015,1,15,7700,1,1,1B,20 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,S5,4,0, ,BEAVER STREET COMMONS,1701,6770,1700,5070,0,1700,0,0,0,0,2,1,4,6,7,26.89,64.8,26,65, ,3,Y,4,2,87031,708480,0,0,1900,1965,2008, , ,3.98,10,15,15,1,1000110010,0,9,980842,196061,12b, ,101S001,10101, ,0, ,1, , ,17V1.1,0,182.1246108,1693.844033,621449,17,1,10729,10731,8,1800,10.96100044,12.29888916,1.337888718,11.28463924,0.560977416,90.27711391 +10731,MN,421,60,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,57 STANTON STREET,C4-4A, , , , , , , , , ,N,S9,4,0,P,57 FUSION LLC,2112,4070,2070,2000,0,1180,0,0,0,0,2,2,3,2,4,22.25,75,22.25,33, ,0,Y,5,2,20193,37612,0,0,1901,0,0, , ,1.93,4,4,4,1,1004210060,0,3601,986935,202250,12c, ,102 002,10204,E-216,0, ,1, , ,17V1.1,0,247.3189259,2322.769993,17419,1,0,10730,10732,10,2250,38.28777695,38.39799881,0.110221863,38.38697662,0.033066559,383.8697662 +10732,MN,779,17,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,231 WEST 29 STREET,M1-6D, , , , , , , , , ,N,L1,6,0, ,JR BUILDING ASSOCIATE,11482,144323,144323,0,0,9000,0,135323,0,0,2,1,15,14,14,117.08,98.75,117.08,98.75, ,0,N,5,2,900000,10841850,0,0,1927,0,0, , ,12.57,10,10,10,1,1007790017,0,95,985847,212032,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,438.0201374,11930.36326,9941850,6,0,10731,10733,52,11700,30.09222221,31.08666611,0.994443893,30.88923047,0.27398026,1606.239985 +10733,MN,791,1,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,79 7 AVENUE,C6-3A,R8B, , , , , , , , ,Y,D0,3,0,P,WEST 15 TOWNHOUSE COR,18085,126134,18000,108134,0,18000,0,0,0,0,2,1,7,64,65,129,150,129,150, ,3,Y,3,2,3249000,15133500,64130,64130,1938,1980,0, , ,6.97,7.52,6,7.5,1,1007910001,0,81,984624,208623,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,574.1970027,19215.09737,11884500,7,0,10732,10734,86,19350,27.87888908,29.7211113,1.842222214,27.9344834,0.298152524,2402.365572 +10734,MN,507,20,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,266 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,260 ELIZABETH STREET,2093,7545,600,6945,0,600,0,0,0,0,2,1,5,8,9,23.83,87.83,24,70, ,3,N,5,2,72544,400988,0,0,1920,1986,0, , ,3.6,6.02,6,6.5,1,1005070020,0,43,986088,203059,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,221.0821037,2068.657484,328444,9,0,10733,10735,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +10735,MN,276,39,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,100 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,L & C REALTY ASSOCIAT,2513,9985,1850,8135,0,1850,0,0,0,0,2,1,5,17,19,25,100,25,80, ,2,N,5,2,112500,405000,0,0,1900,1987,0, , ,3.97,3.44,0,6.5,1,1002760039,0,8,985494,198675,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,256.232358,2498.789895,292500,16,0,10734,10736,11,2475,23.59300041,23.59300041,0,23.59300041,0,259.5230045 +10736,MN,740,49,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,332 WEST 17 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,328 W17TH ST OWNERS I,2300,8525,0,8525,0,0,0,0,0,0,2,1,5,15,15,25,92,25,78, ,3,N,5,2,98100,966150,8043,8043,1900,1987,0, , ,3.71,4,0,4,1,1007400049,0,83,983518,209632,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,242.0572992,2356.532351,868050,7,0,10735,10737,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +10737,MN,434,16,103,32,2000,1,2,10009,L011,9,14,6600,1,3,4A,104 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,KC3 - 104 EAST 7TH ST,2271,8236,800,7436,0,800,0,0,0,0,2,1,5,16,18,25,90.83,25,65, ,3,N,5,2,51300,753300,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.63,4,0,4,1,1004340016,0,32,988403,203939,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,236.5926032,2332.41297,702000,12,0,10736,10738,11,2475,18.26222229,22.18222237,3.920000076,18.73141427,1.147535172,206.045557 +10738,MN,592,22,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,353 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,353 6 AVE. REALTY LLC,1441,7195,7195,0,0,2878,0,4317,0,0,2,1,4,3,4,20.58,70,21,70,E,3,N,5,0,583650,710100,0,0,1900,0,0,Greenwich Village Historic District, ,4.99,3.44,0,6.5,1,1005920022,0,71,983978,206015,12c,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,186.3108265,1546.868464,126450,9,0,10737,10739,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +10739,MN,348,21,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,163 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,79 CLINTON ST RLTY CO,2500,13211,1900,11311,0,1900,0,0,0,0,2,1,6,20,23,25,100,25,99,E,2,N,3,2,194850,1577250,0,0,1920,1986,2011, , ,5.28,4,0,4,1,1003480021,0,1402,988326,201203,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,260.4551567,2800.773141,1382400,13,0,10738,10740,11,2475,24.76333427,24.76333427,0,24.76333427,0,272.396677 +10740,MN,831,5,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,51 WEST 29 STREET,C6-4X, , , , , , , , , ,N,O5,5,0, ,YUNG BROTHERS REAL ES,724,2450,2450,0,1400,1050,0,0,0,0,2,1,3,0,4,29.33,24.67,29,24, ,2,N,5,2,180000,513900,0,0,1915,0,0, , ,3.38,10,10,10,1,1008310005,0,76,987115,211289,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,115.2533648,822.289372,333900,6,0,10739,10741,3,675,41.16799927,41.16799927,0,41.16799927,0,123.5039978 +10741,MN,717,52,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,416 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C2,2,0, ,"416W20ST, LLC",2248,4730,0,4730,0,0,0,0,0,0,2,1,3.5,5,5,21.42,104,21,42, ,3,N,5,5,221964,372721,0,0,1910,0,0,Chelsea Historic District, ,2.1,3,0,3,1,1007170052,0,89,983207,210633,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,260.2732483,2448.169486,150757,7,1,10740,10742,11,2475,9.621110916,15.07333279,5.45222187,11.99541404,2.439845649,131.9495544 +10742,MN,940,48,106,78,5003,2,2,10016,L007,17,13,5000,1,6,2B,320 EAST 35 STREET,R8, , , , , , , , , ,N,D4,3,0, ,320 EAST 35TH STREET,7453,30000,0,30000,0,0,0,0,0,0,2,1,6,51,51,75,100,51,77, ,3,N,5,1,468000,3165300,33040,33040,1959,0,0, , ,4.03,6.02,0,6.5,1,1009400048,0,78,991346,210618,8d, ,104 024,10309, ,0, ,1, ,1,17V1.1,0,353.4000698,7572.063295,2697300,10,1,10741,10743,35,7875,8.051111221,13.58777809,5.53666687,9.147444534,1.727141785,320.1605587 +10743,MN,914,7,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,207 EAST 33 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,33RD STREET INVESTORS,5312,20710,0,20710,0,0,0,0,0,0,2,1,5,39,39,49.46,107.46,49,91, ,3,Y,5,2,202500,2302650,0,0,1910,0,0, , ,3.9,4,0,4,1,1009140007,0,70,990397,210696,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,330.8201191,5799.025255,2100150,10,0,10742,10744,26,5850,17.92555618,21.55999947,3.634443283,18.15074414,0.804341543,471.9193478 +10744,MN,641,44,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,82 JANE STREET,R6, , , , , , , , , ,N,C4,2,0, ,14 L. PIERRE ASSOCIAT,3406,14680,0,14680,0,0,0,0,0,0,2,2,5,29,29,42.58,80,16,69, ,3,N,5,2,589500,2212650,0,0,1900,0,0,Greenwich Village Historic District, ,4.31,2.43,0,4.8,1,1006410044,0,79,982246,208138,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,246.5944061,3359.20506,1623150,8,0,10743,10745,15,3375,12.27999973,13.34222221,1.062222481,12.43185158,0.337436138,186.4777737 +10745,MN,635,37,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,113 BANK STREET,R6, , , , , , , , , ,N,A7,1,0, ,"113-115 BANK STREET,",4180,10832,0,10832,0,0,0,0,0,0,2,1,4.5,1,1,44,95,44,95, ,3,Y,5,2,71591,650390,0,0,1900,2007,0,Greenwich Village Historic District, ,2.59,2.43,0,4.8,1,1006350037,0,79,982206,207613,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,288.2871521,4397.999877,578799,8,0,10744,10746,21,4725,13.34599972,13.34599972,0,13.34599972,0,280.2659941 +10746,MN,310,40,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,61 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,34 LUDLOW REALTY CORP,3263,14899,3000,11898,0,3000,0,0,0,0,2,1,6,20,24,43.5,75,43,75,E,2,N,3,1,220500,914850,0,0,1915,1988,0, , ,4.57,6.02,6,6.5,1,1003100040,0,16,986931,200097,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,249.6027582,3646.839628,694350,13,0,10745,10747,17,3825,34.75799942,35.91888809,1.160888672,35.03607739,0.229285,595.6133156 +10747,MN,53,40,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,94A GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,K4,4,0, ,UNION & COURT REALTYC,1784,4878,2994,1884,0,2994,0,0,0,0,2,1,4,4,5,19.08,95.58,19,48, ,3,Y,5,2,211950,674100,0,0,1915,1984,2013, , ,2.73,10,15,15,1,1000530040,0,13,980423,197280,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,244.2914473,1932.528773,462150,15,1,10746,10748,9,2025,7.869999886,7.869999886,0,7.869999886,0,70.82999897 +10748,MN,299,19,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,72 HESTER STREET,C6-2, , , , , , , , , ,N,S4,4,0,P,"72 HESTER STREET, LLC",1425,5008,1140,3868,0,1140,0,0,0,0,2,1,5,4,5,19,75.17,19,50,E,0,Y,5,5,122183,178737,0,0,1900,0,0, , ,3.51,6.02,6,6.5,1,1002990019,0,16,986558,200117,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,186.6686709,1418.73746,56554,13,0,10747,10749,5,1125,36.52555466,38.04777908,1.522224426,36.82999954,0.608889771,184.1499977 +10749,MN,526,52,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,90 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,B1,1,0, ,"NAFTALI, GLORIA",2002,3360,0,3360,0,0,0,0,0,0,2,1,4,2,2,20,100.08,20,42, ,3,N,5,5,61539,197670,0,0,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.68,3.44,0,6.5,1,1005260052,0,65,983885,204742,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,242.9997503,2029.980658,136131,9,0,10748,10750,9,2025,23.22699928,24.4533329,1.226333618,23.53355492,0.452417272,211.8019943 +10750,MN,280,13,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,45 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C7,4,0, ,KIT MING CORP.,2500,10440,1790,8650,0,1790,0,0,0,0,2,1,6,17,18,25,100,25,85, ,2,N,5,2,112500,325350,0,0,1900,0,0, , ,4.18,3.44,0,6.5,1,1002800013,0,8,985446,199092,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.9375805,2625.365521,212850,16,0,10749,10751,12,2700,27.8318882,33.54999924,5.718111038,28.40982342,1.585613579,340.917881 +10751,MN,393,34,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,173 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,EAST MANHATTAN HOLDIN,1964,7665,800,6865,0,800,0,0,0,0,2,1,5,18,19,23.67,83,24,66, ,3,N,5,2,225000,801900,0,0,1900,1968,0, , ,3.9,4,0,4,1,1003930034,0,28,990481,203911,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,213.6164693,1967.87711,576900,12,1,10750,10752,9,2025,7.409999847,8.151110649,0.741110802,7.540246699,0.234621147,67.86222029 +10752,MN,592,75,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,115 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,C7,4,0, ,115-119 WASHINGTON PL,7275,28560,1430,27130,1350,0,0,0,0,80,2,2,6,48,52,75,97,37,84, ,3,N,5,2,1170000,4329000,0,0,1900,1987,0,Greenwich Village Historic District, ,3.93,2.43,0,4.8,1,1005920075,0,71,983923,206290,12a,Y,103 017,10208, ,0, ,1, , ,17V1.1,0,345.6682032,7285.664985,3159000,9,0,10751,10753,32,7200,17.50333405,17.50333405,0,17.50333405,0,560.1066895 +10753,MN,848,12,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,889 BROADWAY,M1-5M, , , , , , , , , ,N,D0,3,0, ,889 REALTY INC,5275,44140,5331,38809,0,5331,0,0,0,0,2,1,9,17,18,55.08,108.67,55,107, ,3,Y,3,2,774000,5407200,4720,4720,1920,1984,1989,Ladies' Mile Historic District,GORHAM BUILDING,8.37,0,5,6.5,1,1008480012,0,52,986969,208424,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,328.3126292,6054.025966,4633200,7,0,10752,10754,27,6075,41.39699936,41.39699936,0,41.39699936,0,1117.718983 +10754,MN,283,87,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,123 DIVISION STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,JEDMOND REALTY CORP,1569,6345,1250,5095,0,1250,0,0,0,0,2,1,5,8,10,25,62.83,25,49, ,3,Y,5,2,69739,261846,0,0,1910,1966,0, , ,4.04,6.02,6,6.5,1,1002830087,0,6,986550,199514,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,181.1074268,1659.959445,192107,16,0,10753,10755,9,2025,35.5909996,40.54111099,4.950111389,37.0336291,2.055947425,333.3026619 +10755,MN,603,46,102,69,1005,2,3,10014,E024,6,15,6400,1,2,2B,636 GREENWICH STREET,M1-5, , , , , , , , , ,N,H8,8,1,P,LAROC,9552,90000,0,0,0,0,0,0,0,0,2,1,8,0,1,100.25,92.5,100.25,92.5, ,0,Y,3,2,1341000,9838350,0,0,1911,1997,0, , ,9.42,0,5,6.5,1,1006030046,0,69,981969,205715,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,397.0672716,9828.906199,8497350,9,0,10754,10756,43,9675,13.15999985,13.15999985,0,13.15999985,0,565.8799934 +10756,MN,331,1,103,12,2005,1,1,10002,L018,7,14,7600,1,3,2B,504 GRAND STREET,R7-2, , , ,C1-5, , , , , ,N,D4,3,0, ,AMALGAMATED DWELLINGS,60175,216200,1807,214393,0,1807,0,0,0,0,2,1,6,237,240,200,300.83,199.67,100, ,0,Y,3,2,1845000,16170300,814413,814413,1929,1980,0, , ,3.59,3.44,0,6.5,1,1003310001,0,12,989287,199791,12d, ,101N082,10201, ,0, ,1, , ,17V1.1,0,1020.176632,62430.60757,14325300,13,0,10755,10757,280,63000,17.07999992,33.47999954,16.39999962,18.52807138,2.383501256,5187.859987 +10757,MN,636,49,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,403 WEST STREET,C1-6A, , , , , , , , , ,N,L9,6,0,P,"CROSS-EYED, LLC",3267,25902,22739,3163,10087,0,0,12652,0,0,2,1,4,1,3,44.67,70,44.67,70, ,3,Y,3,2,202500,2790450,0,0,1910,2000,2000, , ,7.93,4,2,4,1,1006360049,0,75,981529,206602,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,248.423072,3496.240421,2587950,9,1,10756,10758,15,3375,8.194444656,9.192000389,0.997555733,9.083615176,0.277353742,136.2542276 +10758,MN,846,65,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,16 EAST 18 STREET,M1-5M, , , , , , , , , ,N,D7,4,0,P,16E18 STONE LLC,2570,20258,9058,11200,0,2300,0,6758,0,0,2,1,10,8,11,23.83,94,24,93,E,3,N,5,2,576000,1809000,0,0,1910,2011,0,Ladies' Mile Historic District, ,7.88,0,5,6.5,1,1008460065,0,52,986760,208116,8d,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,248.6386444,2334.751433,1233000,7,0,10757,10759,10,2250,39.36555481,41.40333176,2.037776947,39.5693325,0.611333084,395.693325 +10759,MN,277,48,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,25 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,K1,5,0,P,20 HENRY STREET REALT,1418,1394,1394,0,0,1394,0,0,0,0,2,1,1,0,2,18,79.83,17,78, ,3,Y,3,0,99000,487350,0,0,1910,0,0, , ,0.98,3.44,0,6.5,1,1002770048,0,8,985114,198938,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,203.3293001,1601.271599,388350,16,0,10758,10760,7,1575,21.55400085,27.21000099,5.656000137,25.27644484,2.386297617,176.9351139 +10760,MN,528,42,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,19 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0,P,19 BEDFORD STREET HDF,1417,5310,0,5310,0,0,0,0,0,0,2,1,5,5,5,20.1,75,20,58, ,3,Y,5,2,192070,379948,192070,328078,1900,0,0,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005280042,0,67,983238,204853,12a, ,103 003,10206, ,1005280035,1/6/1994,1, , ,17V1.1,0,192.2998613,1467.324392,187878,9,0,10759,10761,7,1575,15.38333321,16.08644485,0.703111649,15.71844428,0.233867409,110.02911 +10761,MN,417,18,103,36.01,1000,1,1,10002,L018,5,14,6500,1,3,2A,159 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,"ALLEN HOUSE, LLC C/O",4940,24251,3200,21051,0,3200,0,0,0,0,2,1,6,33,40,48.92,100.92,49,99, ,2,Y,3,2,900000,3342600,0,0,1920,1986,0, , ,4.91,6.02,6,6.5,1,1004170018,0,3601,987275,202590,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,315.2547523,5507.717336,2442600,1,0,10760,10762,25,5625,36.00888824,36.75444412,0.745555878,36.0435994,0.147060587,901.0899849 +10762,MN,753,3,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,336 9 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,336 9TH AVE. CORP.,1280,3049,1280,1769,0,1280,0,0,0,0,2,1,4,3,4,18.25,70,18,48,E,3,N,5,5,101303,234579,0,0,1910,1985,0, , ,2.38,6.02,6,6.5,1,1007530003,0,97,984751,212643,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,188.6834917,1403.043564,133276,6,0,10761,10763,6,1350,28.20800018,33.36333466,5.155334473,29.0672226,1.921279721,174.4033356 +10763,MN,142,19,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,41 HARRISON STREET,C6-4, , , , , , , , , ,N,B9,1,0,P,JOSEPH ECHEVARRIA,1480,3080,0,2200,0,0,0,0,0,0,2,1,2,2,2,20,74,20,44, ,2,N,5,1,70830,111132,1550,1550,1960,0,0, ,327 WASHINGTON STREET (WILSON HUNT,2.08,10,10,10,1,1001420019,0,39,981189,201038,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,198.6327195,1570.849128,40302,14,0,10762,10764,7,1575,14.25300026,14.25300026,0,14.25300026,0,99.77100182 +10764,MN,612,56,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,2 PERRY STREET,C2-6,C1-6, , , , , , , , ,Y,B9,1,0, ,ROBERT G LADY JR,771,2032,0,2032,0,0,0,0,0,0,2,1,3,2,2,22.67,34,22.67,34, ,3,N,5,1,43743,102849,1550,1550,1849,0,0,Greenwich Village Historic District, ,2.64,3.44,2,6.5,1,1006120056,0,71,983977,207339,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,114.5107841,739.4745916,59106,8,0,10763,10765,2,450,21.78555489,21.78555489,0,21.78555489,0,43.57110977 +10765,MN,309,25,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,45 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,"FIVE BRAGONS, INC.",2209,9789,1000,8789,0,0,0,1000,0,0,2,1,6,11,12,25.25,87.5,25,73, ,3,N,5,2,150750,475200,0,0,1910,1996,0, , ,4.43,6.02,6,6.5,1,1003090025,0,16,986882,200282,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,231.8340087,2278.419127,324450,13,0,10764,10766,10,2250,34.44444275,34.44444275,0,34.44444275,0,344.4444275 +10766,MN,429,20,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,115 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,SANDERS TIMOTHY,2118,5096,0,5096,0,0,0,0,0,0,2,1,4,5,5,20,105.92,20,80,E,2,N,5,5,116149,157833,0,0,1900,0,0, , ,2.41,4,0,4,1,1004290020,0,3002,987825,202796,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,256.6279334,2166.285768,41684,1,0,10765,10767,10,2250,27.64333344,28.19499969,0.55166626,28.13983307,0.165499878,281.3983307 +10767,MN,896,24,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,235 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,D7,4,0, ,EAST 14 REALTY LLC,4610,14712,500,14212,500,0,0,0,0,0,2,1,6,18,20,53.25,79.25,53,58, ,3,Y,3,2,270000,1567800,0,0,1910,1986,0, , ,3.19,4,2,4,1,1008960024,0,48,988406,206244,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,264.2008036,4180.0057,1297800,5,0,10766,10768,18,4050,26.69333267,26.69333267,0,26.69333267,0,480.4799881 +10768,MN,848,55,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,26 EAST 20 STREET,M1-5M, , , , , , , , , ,N,P7,8,0,P,UNITED STATES OF AMER,4600,15030,15030,0,0,0,0,0,0,15030,2,1,5,0,1,50,92,50,82, ,3,N,5,1,918000,2441700,918000,2441700,1921,0,0,Ladies' Mile Historic District,THEODORE ROOSEVELT HOUSE,3.27,0,5,6.5,1,1008480055,0,52,987287,208383,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,293.2030706,4844.171019,1523700,7,0,10767,10769,20,4500,35.19100189,40.0344429,4.84344101,36.12372913,1.769282962,722.4745827 +10769,MN,912,39,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,250 EAST 32 STREET,C1-8A, , , , , , , , , ,N,O9,5,0, ,"BSLTA, LLC",641,2564,1282,1282,1282,0,0,0,0,0,2,1,4,1,2,26,24.67,26,24.67, ,3,N,5,2,138600,485550,0,0,1920,1988,0, , ,4,7.52,2,7.5,1,1009120039,0,70,990534,210184,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,104.9676493,687.9010571,346950,10,0,10768,10770,4,900,25.54111099,26.45000076,0.908889771,26.04972267,0.407542186,104.1988907 +10770,MN,405,7,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,186 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,TRI-LUCK REALTY CORP,1738,6050,1000,5050,0,1000,0,0,0,0,2,1,5,8,9,25.75,67.5,26,45, ,3,N,5,2,10185,108422,0,0,1920,1988,0, , ,3.48,4,0,4,1,1004050007,0,34,989456,204807,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,193.5362271,1897.417232,98237,12,0,10769,10771,8,1800,13.81444454,17.01666641,3.20222187,14.21472228,1.059035339,113.7177782 +10771,MN,518,9,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,54 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C3,2,0, ,"AJAX-GOTHAM SQUARE,LL",2500,11054,0,11054,0,0,0,0,0,0,2,1,5,4,4,25,100,24.9,65.6, ,1,N,5,0,1482570,1731420,0,0,2016,0,0,Sullivan-Thompson Historic District, ,4.42,3.44,0,6.5,1,1005180009,0,49,983603,204297,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,264.0290904,2634.068867,248850,9,0,10770,10772,12,2700,20.52111053,22.29999924,1.778888702,20.66935126,0.491658864,248.0322151 +10772,MN,513,36,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,101 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,FLAMINGO TRAILER PARK,2500,16450,2250,14200,0,2250,0,0,0,0,2,1,7,6,7,25,100,25,97,E,3,N,5,2,369904,717432,7080,7080,1900,2008,0,SoHo-Cast Iron Historic District, ,6.58,0,5,6.5,1,1005130036,0,49,984566,203416,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,252.8999339,2536.227236,347528,9,0,10771,10773,11,2475,26.62555504,26.62555504,0,26.62555504,0,292.8811054 +10773,MN,843,7502,105,52,2005,2,2,10003,L003,13,15,5700,1,5, ,15 EAST 15 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,1425,8698,5420,3278,2015,3405,0,0,0,0,2,1,3,2,5,75,28.08,75,26, ,0,Y,0,5,288451,1458000,0,0,1910,0,0,Ladies' Mile Historic District, ,6.1,6.02,6,6.5,1,1008437502,1498,52,986444,207556,12c, ,102 034,10306, ,1008430011,2/27/2006,1, , ,17V1.1,7,252.8691852,2418.062283,1169550,7,0,10772,10774,10,2250,37.06999969,37.24888992,0.178890228,37.08788872,0.053667068,370.8788872 +10774,MN,856,7504,105,56,1002,2,2,10010,E001,13,15,5700,1,5, ,21 EAST 26 STREET,C5-2, , , , , , , , , ,N,RM,4,0, , ,5925,28141,6700,21441,0,6700,0,0,0,0,2,1,6,4,6,30,197.5,30,196, ,3,N,0,5,267793,3122925,0,0,1924,1986,0, , ,4.75,10,10,10,1,1008567504,2377,56,987901,210069,8d, ,104 004,10306, ,1008560014,7/24/2013,1, , ,17V1.1,7,480.9379387,6488.029331,2855130,11,0,10773,10775,30,6750,36.52222443,37.10555649,0.583332062,36.70759341,0.080488182,1101.227802 +10775,MN,387,37,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,55 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,55 AVE C HDFC CORP,6491,21255,2500,18755,0,2500,0,0,0,0,2,1,5,24,26,72.08,90,72,72, ,1,N,5,2,270000,742050,270000,501408,1900,0,0, , ,3.27,4,0,4,1,1003870037,0,2601,989718,202543,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,328.2004953,6633.195021,472050,1,1,10774,10776,30,6750,11.63300037,13.92666626,2.293665886,11.73142255,0.424443782,351.9426765 +10776,MN,832,78,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,874 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0,P,874 REALTY CORP,1260,5040,5040,0,2500,2540,0,0,0,0,2,1,4,0,5,21,60,21,60, ,3,N,3,2,438750,983700,0,0,1910,1985,2008, , ,4,10,10,10,1,1008320078,0,76,987301,211683,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,169.7363815,1420.725797,544950,6,0,10775,10777,7,1575,42.41110992,43.25099945,0.839889526,43.08044379,0.284103473,301.5631065 +10777,MN,372,38,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,15 AVENUE D,R8A, , , ,C1-5, , , , , ,N,S1,4,0,P,"15 AVENUE D, LLC",826,2240,826,1414,0,826,0,0,0,0,2,1,3,1,2,15.58,53,15,53, ,0,Y,5,5,9677,24693,0,0,1910,0,0, , ,2.71,6,0,6,1,1003720038,0,2202,990195,201808,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,143.5159563,865.3282496,15016,1,1,10776,10778,4,900,10.24333286,10.24333286,0,10.24333286,0,40.97333145 +10778,MN,614,15,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,34 BANK STREET,R6, , , , , , , , , ,N,B9,1,0, ,GOFF NANCY C,1953,3840,0,2880,0,0,0,0,0,0,2,1,2,2,2,20.42,93,20.42,42,E,3,Y,5,1,57507,190771,0,0,1899,0,0,Greenwich Village Historic District, ,1.97,2.43,0,4.8,1,1006140015,0,77,983466,207702,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,237.3870805,2090.982003,133264,8,0,10777,10779,11,2475,26.80333328,30.0522213,3.248888016,28.07959609,1.220361885,308.8755569 +10779,MN,451,50,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,323 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,PSA 315 EAST 9TH STRE,2506,7615,500,7115,500,0,0,0,0,0,2,1,5,15,16,25,92.25,25,56, ,3,N,5,2,231300,599850,0,0,1900,0,0, , ,3.04,4,0,4,1,1004510050,0,40,988138,204829,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,243.5590409,2446.564545,368550,12,0,10778,10780,12,2700,23.62299919,30.02777863,6.404779434,25.57006439,2.505008121,306.8407726 +10780,MN,551,19,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,30 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,K4,4,0,P,RETURN TO HOME LLC,2400,7060,3600,3460,0,3600,0,0,0,0,2,3,3,8,12,24,100,24,30, ,0,N,3,2,193050,701100,0,0,1900,0,0,Greenwich Village Historic District, ,2.94,3.44,3.4,6.5,1,1005510019,0,63,984795,206222,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,262.7290652,2997.892052,508050,8,0,10779,10781,14,3150,22.14777756,22.33777809,0.190000534,22.20501627,0.039432384,310.8702278 +10781,MN,384,12,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,219 EAST 2 STREET,R8A, , , , , , , , , ,N,C7,4,0,P,215-219 E 2ND ST ASSO,6133,22390,3000,19390,0,3000,0,0,0,0,2,3,5,26,27,69.5,80,69.5,72,E,2,Y,5,0,414000,1108800,0,599650,1900,1990,0, , ,3.65,6,0,6,1,1003840012,0,2202,988967,202172,12c, ,102 005,10203, ,1003840012,12/12/1990,1, , ,17V1.1,0,330.4380718,6403.025683,694800,1,0,10780,10782,29,6525,18.08333397,19.61555481,1.53222084,18.3022801,0.455787866,530.7661228 +10782,MN,400,10,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,508 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,506-8 HOLDING CORP,2396,7110,0,7110,0,0,0,0,0,0,2,1,5,17,17,24.92,96.17,25,54, ,3,N,5,2,90000,505800,0,0,1940,1989,0, , ,2.97,3,0,3,1,1004000010,0,32,988693,203213,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,242.4359465,2405.445938,415800,1,0,10781,10783,12,2700,15.8922224,20.39666557,4.504443169,17.11259262,1.531810453,205.3511114 +10783,MN,476,42,102,47,2002,2,1,10013,L008,1,15,6800,1,2,1A,23 THOMPSON STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,KENNETH ROSENBLUM,3900,15186,1010,14176,0,1010,0,0,0,0,2,2,6,28,30,39,100,39,85, ,3,N,5,2,195750,2216700,0,0,1900,1984,0, , ,3.89,0,5,6.5,1,1004760042,0,47,983011,202711,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,289.0063151,4274.597772,2020950,0,1,10782,10784,19,4275,9.686666489,9.686666489,0,9.686666489,0,184.0466633 +10784,MN,742,72,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,144 9 AVENUE,C2-6A, , , , , , , , , ,N,C7,4,0, ,932 AMSTER LLC.,2190,8760,2100,6660,0,2100,0,0,0,0,2,1,4,16,18,36.5,60,37,60, ,2,N,3,2,118350,2073600,0,0,1910,0,0, , ,4,4,2,4,1,1007420072,0,89,983431,210267,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,198.1823551,2337.611128,1955250,7,0,10783,10785,10,2250,15.59444427,15.81022167,0.215777397,15.61602201,0.064733219,156.1602201 +10785,MN,610,52,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,130 WEST 10 STREET,C1-6, , , , , , , , , ,N,S2,4,0,P,10TH ST. WEST VILLAGE,667,2464,1232,1232,0,1232,0,0,0,0,2,1,3,2,3,15,46.5,15,42, ,3,Y,5,2,106905,109695,0,0,1910,1986,2011,Greenwich Village Historic District, ,3.69,3.44,2,6.5,1,1006100052,0,71,984165,206879,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,123.5111476,676.9219256,2790,8,0,10784,10786,2,450,18.18777847,18.18777847,0,18.18777847,0,36.37555695 +10786,MN,765,35,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,78 7 AVENUE,R8B,C6-3A, , , , , , , , ,Y,D7,4,0, ,CHELSMORE APTS. LLC,21394,128350,10000,118350,0,10000,0,0,0,0,2,1,6,113,121,103.25,207.17,103,207, ,3,N,3,2,2101500,11981700,0,0,1940,0,0, , ,6,4,0,4,1,1007650035,0,81,984383,208746,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,640.3820222,22634.05963,9880200,7,0,10785,10787,100,22500,22.05333328,27.42555618,5.3722229,22.36714441,1.117805908,2236.714441 +10787,MN,447,15,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,318 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,318 EAST 6TH STREET R,2425,6822,1000,5822,0,1000,0,0,0,0,2,1,5,10,11,25,97,25,52, ,3,N,5,2,380250,1204200,0,0,1900,2012,0,East Village/Lower East Side Historic Di, ,2.81,4,0,4,1,1004470015,0,38,987661,204071,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.1134528,2501.420538,823950,1,0,10786,10788,11,2475,28.15800095,32.36000061,4.201999664,29.0733138,1.468037211,319.8064518 +10788,MN,438,44,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,267 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,267 EAST 10TH REALTY,2369,8100,800,7300,0,800,0,0,0,0,2,1,5,16,18,25,94.75,25,64, ,3,N,5,2,183600,1536300,0,0,1920,0,0, , ,3.42,4,0,4,1,1004380044,0,34,988931,204673,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,248.7416728,2458.204049,1352700,12,0,10787,10789,11,2475,17.98900032,19.4766674,1.487667084,18.28542467,0.530855074,201.1396713 +10789,MN,537,34,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,145 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,145 BLEECKER LLC,2879,5809,1600,4209,0,1600,0,0,0,0,2,1,3.5,6,8,28.75,100,29,100,E,3,N,5,1,224604,574388,0,0,1900,1987,0,South Village Historic District, ,2.02,3.44,0,6.5,1,1005370034,0,65,984510,204642,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,263.2250783,3048.754296,349784,9,0,10788,10790,15,3375,27.39777756,28.58444405,1.186666489,27.47688866,0.296006629,412.1533298 +10790,MN,274,44,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,54 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,"HUANG, HENNY SHING FO",2188,10548,1700,8848,0,1700,0,0,0,0,2,1,6,11,12,25,88,25,74, ,3,N,5,2,78750,400050,0,0,1910,1986,0, , ,4.82,3.44,0,6.5,1,1002740044,0,8,985906,198605,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,233.8737224,2364.353703,321300,16,0,10789,10791,12,2700,24.63366699,24.63366699,0,24.63366699,0,295.6040039 +10791,MN,784,60,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,224 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,O6,5,0, ,PROFILE ENTERPRISES 2,9875,143448,143448,0,133573,9875,0,0,0,0,2,1,17,0,34,100,98.75,100,98.75, ,0,N,5,5,1174500,10810800,0,0,1924,0,0, , ,14.53,0,10,10,1,1007840060,0,109,986662,213215,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,402.0899388,10099.04825,9636300,6,0,10790,10792,41,9225,34.68444443,34.68444443,0,34.68444443,0,1422.062222 +10792,MN,582,32,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,41 BEDFORD STREET,C2-6, , , , , , , , , ,N,D1,3,0, ,CARMINE LIMITED,3000,11740,0,11740,0,0,0,0,0,0,2,1,5,25,25,40,75,40,60, ,3,N,5,2,219600,1939950,0,0,1929,1986,0, , ,3.91,3.44,2,6.5,1,1005820032,0,67,983041,205295,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,234.9276328,3086.03719,1720350,9,0,10791,10793,13,2925,15.38333321,15.38333321,0,15.38333321,0,199.9833317 +10793,MN,630,21,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,686 GREENWICH STREET,R6, , , , , , , , , ,N,D5,3,0, ,"MO-HAK ASSOCIATES,",6787,24365,0,24365,0,0,0,0,0,0,2,1,5,42,42,74.33,88.67,74,84,E,3,Y,5,2,1800000,5373000,0,0,1880,1979,0,Greenwich Village Historic District Exte, ,3.59,2.43,0,4.8,1,1006300021,0,75,982104,206368,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,328.9087107,6708.59586,3573000,9,0,10792,10794,31,6975,15.90333366,18.3920002,2.488666534,17.27159076,0.552778677,535.4193134 +10794,MN,195,6,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,394 BROADWAY,C6-2A, , , , , , , , , ,N,L8,6,0, ,394 BROADWAY GROUP LL,4840,25340,25340,0,20500,4840,0,0,0,0,2,1,6,0,6,27.75,175,28,175, ,3,Y,4,2,433350,3360600,0,0,1920,0,0,Tribeca East Historic District, ,5.24,6.02,6,6.5,1,1001950006,0,31,983619,200970,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,417.2842632,5086.981101,2927250,14,0,10793,10795,23,5175,17.90200043,20.18000031,2.277999878,18.0010439,0.464555066,414.0240097 +10795,MN,765,26,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,217 WEST 15 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,"CLAIRE SCHIFFMAN, TRU",2065,4500,0,4500,0,0,0,0,0,0,2,1,4,4,4,20,103.25,20,44, ,3,N,5,5,264485,403510,0,0,1901,0,0, , ,2.18,4,0,4,1,1007650026,0,81,984281,208803,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,247.5761766,1941.973913,139025,7,0,10794,10796,8,1800,22.05333328,24.09000015,2.03666687,22.36111116,0.668140349,178.8888893 +10796,MN,597,37,102,37,1012,2,3,10013,E024,1,15,6800,1,2,1B,533 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,C5,2,0,P,BRIDGE ASSOCIATES OFS,2500,17542,5012,12530,0,0,0,0,5012,0,2,1,7,10,11,25.17,99.83,25.16,99.84, ,2,Y,3,2,198900,1876500,0,0,1910,0,0, , ,7.02,0,10,10,1,1005970037,0,37,981852,204085,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,255.3964204,2590.674817,1677600,0,1,10795,10797,9,2025,10.99400043,10.99400043,0,10.99400043,0,98.94600391 +10797,MN,593,43,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,18 CHRISTOPHER STREET,R6, , , , , , , , , ,N,S4,4,0, ,MARTIN CELESTE,1155,1916,819,1097,0,819,0,0,0,0,2,1,2.5,4,5,21,55.42,21,55,E,3,N,5,5,115318,262659,0,0,1915,1987,0,Greenwich Village Historic District, ,1.66,2.43,0,4.8,1,1005930043,0,71,984091,206616,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,159.4288762,1246.637952,147341,8,0,10796,10798,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +10798,MN,468,34,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,207 2 AVENUE,R7A,R8B, , ,C1-5, ,TA, , , ,Y,C7,4,0,P,EAST 117 STREET ASSOC,2860,10803,2688,8115,0,2688,0,0,0,0,2,1,5,8,9,26.33,110.92,26,100, ,3,N,3,2,39248,384070,0,0,1900,1985,2008, , ,3.78,4,0,4,1,1004680034,0,40,988171,205855,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,277.4000353,3165.333593,344822,12,0,10797,10799,13,2925,28.72333336,31.70555496,2.982221603,29.40752132,1.065524216,382.2977772 +10799,MN,419,49,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,43 DELANCEY STREET,C6-2A, , , , , , , , , ,N,M9,8,0, ,GREATER NEW YORK CORP,5000,12838,12838,0,0,2000,0,5419,0,5419,2,1,2,0,4,101,50,100,50, ,3,Y,3,2,405000,724500,384750,688276,1920,0,0, , ,2.57,6.02,6,6.5,1,1004190049,0,18,986465,201377,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,312.3668358,5453.147397,319500,13,0,10798,10800,24,5400,39.86888886,43.5988884,3.729999542,40.31560183,0.979129056,967.5744438 +10800,MN,64,15,101,15.02,1009,2,1,10038,E004,1,15,7700,1,1, ,160 BROADWAY,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,DAROR ASSOCIATES,13802,150000,150000,0,119076,6564,0,0,0,0,2,4,16,0,75,58.92,247.38,59,247, ,3,Y,4,2,3105000,9100350,0,0,1908,0,0, , ,10.87,10,15,15,1,1000640015,0,1502,981482,197725,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,848.9662249,14662.09253,5995350,0,0,10799,10801,66,14850,28.83444405,34.00889206,5.174448013,30.11916464,0.77903036,1987.864866 +10801,MN,528,68,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,68 CARMINE STREET,R6, , , , , , , , , ,N,C0,2,0, ,KENT JEFFREY,1675,3744,0,3744,0,0,0,0,0,0,2,1,3,3,3,27.92,60,27,40,E,3,N,5,4,84878,207360,1550,1550,1910,1981,0, , ,2.24,2.43,0,4.8,1,1005280068,0,67,983055,205075,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,180.06017,1750.614567,122482,9,0,10800,10802,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +10802,MN,200,24,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,69 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,"CHENG, NOLAN",3850,19680,3280,16400,0,3280,0,0,0,0,2,1,6,27,29,38.58,100.5,39,85, ,3,Y,5,2,156600,1147950,0,0,1905,1980,0, , ,5.11,3.44,6,6.5,1,1002000024,0,29,984703,200249,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,283.3685816,3988.383622,991350,14,0,10801,10803,18,4050,28.79299927,28.79299927,0,28.79299927,0,518.2739868 +10803,MN,695,28,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,511 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,K1,5,0,P,HIGH LINE PARTNERS LL,3456,3636,3636,0,0,3636,0,0,0,0,2,1,1,0,1,35,98.75,0,0, ,3,N,5,2,439200,1029150,0,0,2015,0,0, , ,1.05,7.52,6,7.5,1,1006950028,0,99,982994,211849,8b, ,15S 003,10301, ,1006950027,10/11/2005,1, ,1,17V1.1,0,286.9339788,3760.327689,589950,2,1,10802,10804,16,3600,9.480000496,10.71000004,1.229999542,9.882506788,0.490218724,158.1201086 +10804,MN,189,20,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,118 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D7,4,0, ,118 & 120 HUDSON STRE,3290,22950,6825,16125,0,3225,0,3600,0,0,2,2,6,5,6,21.83,75.17,43,75, ,3,N,5,2,385497,2021392,0,0,1915,0,0,Tribeca West Historic District, ,6.98,6.02,6,6.5,1,1001890020,0,33,981943,201514,12a, ,101S035,10105, ,1001890020,11/13/2012,1, , ,17V1.1,0,251.7811051,3720.153962,1635900,14,1,10803,10805,17,3825,10.17444515,19.1922226,9.017777443,11.22418364,2.875011917,190.8111219 +10805,MN,306,19,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,281 GRAND STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,281 GRAND STREET LLC,2492,15600,3325,12275,200,3125,0,0,0,0,2,1,5,8,9,25,99.5,25,125, ,3,Y,5,2,146402,1179636,0,0,1900,2001,2009, , ,6.26,3.44,6,6.5,1,1003060019,0,16,986271,200703,12c, ,101N050,10107, ,1003060019,4/22/2011,1, , ,17V1.1,0,255.0506392,2559.3035,1033230,13,0,10804,10806,10,2250,37.59777832,39.45666885,1.858890533,37.78366737,0.55766716,377.8366737 +10806,MN,801,71,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,152 WEST 26 STREET,M1-6, , , , , , , , , ,N,H1,5,0,P,"FASHION 26TH STREET,",9826,122236,5000,0,0,5000,0,0,0,0,2,1,21,0,1,99.5,98.75,99.5,98.75, ,3,N,5,0,2250000,34456050,0,0,2010,0,0, , ,12.44,0,10,10,1,1008010071,0,91,985988,210893,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,391.7029461,9588.314503,32206100,2,0,10805,10807,41,9225,32.50999832,35.30444336,2.794445038,32.72397948,0.677650885,1341.683159 +10807,MN,608,56,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,127 WEST 12 STREET,R6, , , , , , , , , ,N,C5,2,0,P,THE ALAN J. JOHNSON R,2323,4299,0,4299,0,0,0,0,0,0,2,1,4,7,7,22.5,103.25,23,58,E,3,N,5,1,156386,470398,2360,2360,1930,0,0,Greenwich Village Historic District, ,1.85,2.43,0,4.8,1,1006080056,0,71,984615,207657,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,257.9527188,2327.191891,314012,8,0,10806,10808,11,2475,24.04400063,26.31444359,2.270442963,24.25040453,0.65270646,266.7544498 +10808,MN,778,70,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,252 WEST 29 STREET,M1-6D,C6-2A, , , , , , , , ,Y,W4,8,0,P,CHARAND ASSOCIATES,6660,42564,42564,0,13000,2000,0,0,0,27564,2,1,7,0,8,90,74,90,74, ,0,Y,5,2,733500,3101850,0,0,1920,0,0, , ,6.39,10,10,10,1,1007780070,0,95,985534,212042,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,349.9331435,7189.735107,2368350,6,0,10807,10809,32,7200,26.68777847,29.36111069,2.673332214,26.84941036,0.626377251,859.1811314 +10809,MN,821,7505,105,54,1002,2,3,10011,E014,13,15,5700,1,5, ,27 WEST 19 STREET,C6-4A, , , , , , , , , ,N,R4,3,0, , ,2300,20255,134,20121,0,0,0,134,0,0,2,1,15,13,13,25,92,25,65, ,3,N,5,5,314998,3465293,0,1317892,2007,0,0,Ladies' Mile Historic District, ,8.81,10,10,10,1,1008217505,1906,54,986253,208844,8d, ,102 041,10306, ,1008210024,10/31/2008,1, , ,17V1.1,7,238.1628674,2181.810218,3150300,7,0,10808,10810,10,2250,32.91555405,32.91555405,0,32.91555405,0,329.1555405 +10810,MN,631,25,102,75,1004,2,3,10014,L005,6,15,6400,1,2,2B,269 WEST 10 STREET,C1-6A, , , , , , , , , ,N,C0,2,0, ,ROBERT ANTAR,882,2832,0,2088,0,0,0,0,0,0,2,1,2,3,3,21,48.5,21,32, ,3,Y,5,1,40981,94952,0,0,1899,0,0,Greenwich Village Historic District Exte, ,3.21,4,2,4,1,1006310025,0,75,982119,206569,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,140.5228932,1011.445335,53971,9,0,10809,10811,6,1350,17.77111053,17.77111053,0,17.77111053,0,106.6266632 +10811,MN,793,7504,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,124 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2208,10077,1461,8616,0,1461,0,0,0,0,2,1,7,6,7,24,92,0,0, ,0,N,0,5,76782,1336706,2360,2360,1920,0,0, , ,4.56,6.02,6,6.5,1,1007937504,1232,81,985294,208927,8d, ,103 029,10305, ,1007930053,8/8/2002,1, , ,17V1.1,7,234.7610382,2209.973519,1259920,7,0,10810,10812,10,2250,27.66555595,27.66555595,0,27.66555595,0,276.6555595 +10812,MN,772,2,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,238 8 AVENUE,C1-6A, , , , , , , , , ,N,S4,4,0, ,J.B.E. CORPORATION,1337,3350,1300,2050,0,1300,0,0,0,0,2,1,4,4,5,19.69,68,19.69,66,E,3,N,5,5,156078,328571,0,0,1901,1987,0, , ,2.51,4,2,4,1,1007720002,0,91,984636,210577,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,180.6247176,1396.117547,172493,2,0,10811,10813,5,1125,22.16600037,22.16600037,0,22.16600037,0,110.8300018 +10813,MN,882,14,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,119 EAST 26 STREET,C4-5A, , , , , , , , , ,N,B3,1,0, ,"POTTER, JAMES O.",1407,3080,0,2310,0,0,0,0,0,0,2,1,3,2,2,14.25,98.75,14.25,55, ,3,N,5,1,88795,153446,1550,1550,1910,0,0, , ,2.19,4,4,4,1,1008820014,0,68,988709,209564,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,229.9763063,1391.155267,64651,11,0,10812,10814,7,1575,33.85400009,33.85400009,0,33.85400009,0,236.9780006 +10814,MN,546,5,102,59,3005,2,1,10003,L009,6,15,5700,1,2,2A,82 WASHINGTON SQUARE E,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,5960,40467,40467,0,0,0,0,0,0,40467,2,1,7,0,3,79.83,74.58,79.84,74.58, ,3,N,3,2,859500,3526650,859500,3526650,1900,0,0, , ,6.79,3.44,0,6.5,1,1005460005,0,59,985351,205196,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,320.1635191,6381.073784,2667150,9,0,10813,10815,29,6525,32.96888733,35.84222031,2.873332977,33.29662691,0.830120107,965.6021805 +10815,MN,874,23,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,66 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,S4,4,0, ,"129 E. 18TH ST., LLC",2880,9156,3756,5400,0,3756,0,0,0,0,2,2,5,4,5,27,106.67,27,49.67, ,3,N,3,5,346140,809703,0,0,1900,1988,0,Gramercy Park Historic District, ,3.18,4,0,4,1,1008740023,0,50,987962,207583,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,272.8734095,3149.25031,463563,5,0,10814,10816,15,3375,27.68333435,32.78311157,5.099777222,28.0233195,1.272107941,420.3497925 +10816,MN,542,58,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,197 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,197 BLEECKER STREETAS,2016,4038,1346,2692,0,1346,0,0,0,0,2,1,3,3,5,21,96,21,96, ,3,N,5,5,195662,529579,0,0,1910,2008,0,South Village Historic District, ,2,3.44,0,6.5,1,1005420058,0,65,983868,205056,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,238.8223694,2066.652292,333917,9,0,10815,10817,10,2250,18.38111115,18.38111115,0,18.38111115,0,183.8111115 +10817,MN,507,7,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,238 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,CHAK SUM YEE,1849,6285,600,5685,0,600,0,0,0,0,2,1,5,8,9,19.92,92.83,20,59, ,3,N,5,2,34782,149087,0,0,1910,1987,0, , ,3.4,6.02,6,6.5,1,1005070007,0,43,985998,202758,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,230.0837406,1883.572245,114305,9,0,10816,10818,8,1800,44.71333313,47.70144653,2.988113403,45.08684731,0.988225619,360.6947784 +10818,MN,592,7502,102,71,5004,2,3,10014,E024,6,15,6100,2,2, ,150 WAVERLY PLACE,R6, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,4317,10002,0,10002,0,0,0,0,0,0,2,1,4,8,8,44.5,97,0,0, ,0,N,5,5,79100,773704,11608,19391,0,0,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1005927502,788,71,983964,206382,12c,Y,103 017,10208, ,1005920058,12/6/1991,1, , ,17V1.1,7,283.4949832,4271.97289,694604,9,0,10817,10819,21,4725,17.50333405,17.50333405,0,17.50333405,0,367.570015 +10819,MN,416,57,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,165 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,165 ORCHARD REALTY,2319,13800,2000,11800,0,2000,0,0,0,0,2,1,5,14,17,26.5,87.5,27,88,E,3,N,4,2,225000,1399500,0,0,1900,2001,0, , ,5.95,4,4,4,1,1004160057,0,3001,987325,202042,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,236.6537537,2439.916814,1174500,1,0,10818,10820,10,2250,33.08889008,33.08889008,0,33.08889008,0,330.8889008 +10820,MN,897,53,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,7 RUTHERFORD PLACE,R7B, , , , , , , , , ,N,M1,8,0,X,PROT EPIS CHUR ST GEO,17472,15400,15400,0,0,0,0,0,0,15400,2,1,1,0,1,96.25,175,96.25,160, ,0,Y,3,5,1584000,2350350,1584000,2350350,1900,1964,0,Stuyvesant Square Historic District,ST. GEORGE'S CHURCH,0.88,3,0,3,1,1008970053,0,48,988406,206821,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,563.9415887,17979.6645,766350,5,0,10819,10821,80,18000,25.1044445,29.78444481,4.680000305,25.5109695,1.137665575,2040.87756 +10821,MN,395,22,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,205 AVENUE C,R7-2, , , ,C2-5, , , , , ,N,D3,3,1,O,NYCHA TRIBOROUGH PRES,52003,149253,0,149253,0,0,0,0,0,0,2,1,23,176,176,266.5,287.58,165,58, ,1,Y,3,0,1890000,18101700,1890000,18101700,1979,1989,0, , ,2.87,3.44,0,6.5,1,1003950022,0,28,990672,204444,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,1115.627894,51958.37017,16211700,12,1,10820,10822,232,52200,6.340000153,8.934444427,2.594444275,7.489580395,0.314377766,1737.582652 +10822,MN,162,8,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,14 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,"LEE, STERLING KINGNIN",2140,7604,1500,6104,0,1500,0,0,0,0,2,1,4,8,9,22,110.33,22,110, ,0,Y,5,2,124401,817938,0,0,1900,0,0, , ,3.55,3.44,6,6.5,1,1001620008,0,29,984671,199477,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,263.8698683,2322.285748,693537,16,0,10821,10823,9,2025,30.90500069,31.93666649,1.031665802,31.01963022,0.324221282,279.176672 +10823,MN,754,38,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,407 8 AVENUE,C6-3X, , , , , , , , , ,N,S4,4,0,P,EG 407 EIGHTH AVE LLC,2469,4494,2194,2300,0,2194,0,0,0,0,2,1,3,4,5,24.67,100,25,96,E,3,N,5,5,259004,523298,0,0,1901,1968,0, , ,1.82,9,6,9,1,1007540038,0,103,985506,212526,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,256.4212957,2732.683442,264294,6,0,10822,10824,12,2700,29.79800034,29.79800034,0,29.79800034,0,357.576004 +10824,MN,514,32,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,125 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,125 GREENE ST CORP,2503,11015,800,10215,0,800,0,0,0,0,2,1,5,4,5,25,100.08,25,97,E,3,N,5,2,147190,541411,59271,59271,1912,2008,0,SoHo-Cast Iron Historic District, ,4.4,0,5,6.5,1,1005140032,0,49,984469,203610,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.0476718,2569.545119,394221,9,0,10823,10825,12,2700,22.59666634,22.59666634,0,22.59666634,0,271.159996 +10825,MN,820,45,105,54,1003,2,3,10011,E014,13,15,5700,1,5,1O,136 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,K1,5,0,P,"136 FIFTH AVENUE, LLC",3675,3755,3755,0,0,3755,0,0,0,0,2,1,1,0,1,25,160,25,142, ,3,Y,5,2,371250,4841550,0,0,1920,1987,0,Ladies' Mile Historic District, ,1.02,10,10,10,1,1008200045,0,54,986486,208520,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,391.5896862,4195.133607,4470300,7,0,10824,10826,20,4500,35.79800034,40.20000076,4.402000427,36.21457806,1.251963704,724.2915611 +10826,MN,821,13,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,49 WEST 19 STREET,C6-4A, , , , , , , , , ,N,L9,6,0, ,SAMUEL LEONARD HILLER,1779,5945,5945,0,0,1140,0,4805,0,0,2,1,5,0,5,19.33,92,19,67,E,3,N,5,2,117000,614700,0,0,1910,1983,0,Ladies' Mile Historic District, ,3.34,10,10,10,1,1008210013,0,54,986032,208967,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,229.8334655,1770.340308,497700,7,0,10825,10827,8,1800,32.91555405,32.91555405,0,32.91555405,0,263.3244324 +10827,MN,218,7503,101,39,1016,2,1,10013,L008,1,15,7700,3,1, ,78 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,"ATLANTIC WALK, LLC",4161,21525,1227,20298,0,1227,0,0,0,0,2,1,7,7,8,82.67,50.33,50.33,82.67, ,3,N,0,5,322598,2725014,0,511607,2006,0,0,Tribeca North Historic District, ,5.17,6.02,6,6.5,1,1002187503,1920,39,981259,202460,12a, ,11N 040,10105, ,1002180014,9/19/2008,1,1,1,17V1.1,7,275.8071179,4453.289141,2402420,14,1,10826,10828,19,4275,7.28000021,7.28000021,0,7.28000021,0,138.320004 +10828,MN,780,70,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,252 WEST 31 STREET,M1-5, , , , , , , , , ,N,O5,5,0,P,252 WEST 31 ST. CORP,866,4062,4062,0,3250,812,0,0,0,0,2,1,5,0,5,25,34.67,25,32.5, ,3,Y,5,2,171000,627300,0,0,1930,1990,0, , ,4.69,0,5,6.5,1,1007800070,0,101,985841,212483,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,119.3646288,874.6592319,456300,6,0,10827,10829,4,900,31.09600067,31.16644478,0.070444107,31.1136117,0.030503193,124.4544468 +10829,MN,767,66,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,244 WEST 18 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,244 WEST 18TH ST. LLC,2206,5517,0,5517,0,0,0,0,0,0,2,1,5,27,27,23.42,92,23,37, ,3,Y,5,1,134100,910350,0,0,1901,0,0, , ,2.5,6.02,6,6.5,1,1007670066,0,81,984251,209504,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,231.8003353,2106.649969,776250,7,0,10828,10830,9,2025,21.88888931,21.88888931,0,21.88888931,0,197.0000038 +10830,MN,632,6,102,75,1000,2,3,10014,L005,6,15,6400,1,2,2K,695 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,C6,2,0, ,PERRY WASHINGTON TENA,8099,14628,0,14628,0,0,0,0,0,0,2,1,4,9,9,88.75,83,40,82,E,3,Y,3,2,322829,968112,4720,4720,1922,1979,0,Greenwich Village Historic District Exte, ,1.81,4,2,4,1,1006320006,0,75,981984,206918,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,375.1233308,8254.565577,645283,9,0,10829,10831,36,8100,15.5466671,18.67822266,3.131555557,16.15474706,0.648193476,581.5708942 +10831,MN,390,7501,103,26.02,2001,1,2,10009,L011,9,14,6700,4,3, ,217 EAST 7 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,3845,13141,342,12799,0,342,0,0,0,0,2,1,6,16,17,39.33,97.5,0,0, ,0,N,0,5,200250,1700100,21240,21240,2000,0,0, , ,3.42,4,0,4,1,1003907501,1183,2602,989940,203261,12c, ,102 022,10203, ,1003900044,3/12/2001,1, ,1,17V1.1,7,277.1406294,3839.778144,1499850,12,1,10830,10832,18,4050,7.409999847,9.419555664,2.009555817,7.521641837,0.460311716,135.3895531 +10832,MN,503,41,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,187 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,LF EAST 21 PROPERTY C,3120,7584,505,7079,0,505,0,0,0,0,2,1,6,10,11,25,100,25,49, ,2,Y,5,0,102600,1212750,0,0,1920,0,0,Sullivan-Thompson Historic District, ,2.43,3.44,0,6.5,1,1005030041,0,49,983472,203506,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,293.4085782,3277.747058,1110150,0,0,10831,10833,13,2925,14.34111118,16.37555504,2.034443855,15.15870087,0.658047227,197.0631113 +10833,MN,408,7501,103,18,1002,2,1,10002,E015,7,14,7400,2,3, ,71 LUDLOW STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,6569,28802,4445,24357,0,0,0,0,0,4445,2,1,7,13,14,75.08,87.5,25,86, ,3,N,5,5,1102499,4320000,0,0,1900,1986,1998, , ,4.38,4,4,4,1,1004087501,1881,18,987049,200710,12c, ,11N 079,10204, ,1004080016,7/18/2008,1, , ,17V1.1,7,328.9563651,6723.605821,3217500,13,0,10832,10834,30,6750,36.36111069,38.85777664,2.496665955,36.47874044,0.460180741,1094.362213 +10834,MN,783,34,105,101,1002,2,3,10001,L024,14,15,5200,1,5,1H,420 7 AVENUE,C6-6, , , , , ,MID, , , ,N,K1,5,1, ,KORPENN,17773,34000,34000,0,0,34000,0,0,0,0,2,1,1,0,7,197.5,100,197,100, ,2,Y,3,2,19350000,34919100,0,0,1969,0,0, , ,1.91,10,15,15,1,1007830034,0,101,986690,212792,8d, ,105S022,10304, ,0, ,1, , ,17V1.1,0,604.1531528,18473.686,15569100,6,0,10833,10835,83,18675,39.16600037,40.39777756,1.231777191,39.20664289,0.178842189,3254.15136 +10835,MN,299,20,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,70 HESTER STREET,C6-2, , , , , , , , , ,N,K2,5,0,P,NEW HORIZON OVERSEAS,1875,5158,5158,0,0,5158,0,0,0,0,2,1,3,0,3,24.92,75.17,25,61, ,3,Y,5,2,150300,829800,0,0,1900,2013,0, , ,2.75,6.02,6,6.5,1,1002990020,0,16,986579,200109,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,198.0476365,1846.885996,679500,13,0,10834,10836,8,1800,36.52555466,37.22444153,0.698886871,36.61291552,0.231135107,292.9033241 +10836,MN,878,36,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,284 3 AVENUE,C2-8A, , , , , , , , , ,N,K4,4,0, ,"ONE A. KIM, INC.",1875,5800,3650,2150,0,3650,0,0,0,0,2,1,4,3,5,25,75,25,43,E,3,N,5,2,274500,1007100,0,0,1920,1967,0, , ,3.09,10,2,10,1,1008780036,0,68,988743,208309,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,216.3292812,2191.68195,732600,11,0,10835,10837,10,2250,22.27111053,22.27111053,0,22.27111053,0,222.7111053 +10837,MN,592,80,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,125 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,D1,3,0, ,125 WASHINGTON PLACE,4268,17688,0,17688,0,0,0,0,0,0,2,1,6,30,30,44,97,44,82, ,3,N,5,2,401400,1844550,0,0,1926,1988,0,Greenwich Village Historic District, ,4.14,2.43,0,4.8,1,1005920080,0,71,983835,206347,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,289.5492608,4482.768739,1443150,9,0,10836,10838,20,4500,17.50333405,17.50333405,0,17.50333405,0,350.0666809 +10838,MN,719,26,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,425 WEST 21 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,GEORGE FARES,2288,6270,0,6270,0,0,0,0,0,0,2,1,5,5,5,22,104,22,56, ,3,N,5,5,61407,694970,0,0,1920,2009,0,Chelsea Historic District, ,2.74,3,0,3,1,1007190026,0,89,983341,211025,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,260.3862308,2488.672057,633563,7,1,10837,10839,10,2250,9.307999611,14.70666695,5.398667336,11.21802197,2.385505113,112.1802197 +10839,MN,143,16,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,325 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D2,3,0,P,MATERA PETER F,2000,11726,3785,7941,0,1985,0,1800,0,0,2,1,5,4,8,50,40.42,49,39, ,3,Y,3,2,76242,520520,0,0,1920,0,0,Tribeca West Historic District, ,5.86,6.02,6,6.5,1,1001430016,0,39,981368,200713,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,194.3961579,2336.395234,444278,14,0,10838,10840,9,2025,16.2966671,16.87599945,0.579332352,16.72943179,0.226222442,150.5648861 +10840,MN,574,28,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,32 WEST 11 STREET,R6, , , , , , , , , ,N,B3,1,0, ,"PENTACLES REALTY,",2085,3696,0,2772,0,0,0,0,0,0,2,1,3,2,2,22,94.75,22,42, ,3,N,5,1,64078,228592,0,0,1899,0,0,Greenwich Village Historic District, ,1.77,2.43,0,4.8,1,1005740028,0,63,985227,206837,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.0806862,2097.679222,164514,8,0,10839,10841,9,2025,24.13299942,27.37555504,3.242555618,25.33969095,1.375484258,228.0572186 +10841,MN,5,10,101,9,1017,2,1,10004,L015,1,15,7700,1,1, ,115 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0, ,4 NYP VENTURES LLC,54023,1016406,1016406,0,1016406,0,0,0,0,0,2,1,22,0,47,167.12,297.35,148,276, ,2,Y,3,2,20880000,67615650,0,0,1969,2013,0, , ,18.81,10,15,15,1,1000050010,0,9,981277,195317,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,1006.43517,59912.81626,46735600,17,1,10840,10842,269,60525,6.155555725,51.16333389,45.00777817,7.406704039,4.367599475,1992.403387 +10842,MN,373,2,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,42 AVENUE C,R7A,R8B, , ,C2-5, , , , , ,Y,K2,5,0, ,"42 AVENUE C, LLC",11733,16364,16364,0,2400,13964,0,0,0,0,2,2,2,0,2,120.17,102,118,80, ,3,Y,3,0,399600,1309500,0,0,1970,0,0, , ,1.39,4,0,4,1,1003730002,0,2601,989781,202305,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,456.8976682,12419.10704,909900,1,0,10841,10843,57,12825,13.10900021,13.90266705,0.79366684,13.19308401,0.195655791,752.0057888 +10843,MN,205,23,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,111 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,111 MOTT LLC,2477,10300,2000,8300,0,2000,0,0,0,0,2,1,6,22,23,24.75,100.08,24,87, ,3,N,5,2,116550,453150,0,0,1900,1983,0, , ,4.16,6.02,6,6.5,1,1002050023,0,41,984924,200722,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,256.5281159,2620.751428,336600,0,0,10842,10844,12,2700,31.4109993,31.4109993,0,31.4109993,0,376.9319916 +10844,MN,574,57,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,25 WEST 10 STREET,R6, , , , , , , , , ,N,A9,1,0, ,DAVIS BRUCE T,2397,7445,0,5804,0,0,0,0,0,0,2,1,4,1,1,25.33,94.75,25,62, ,3,N,5,1,101045,359424,0,0,1900,1987,1998,Greenwich Village Historic District, ,3.11,2.43,0,4.8,1,1005740057,0,63,985161,206762,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,247.3885627,2473.949877,258379,8,0,10843,10845,11,2475,20.66300011,26.02000046,5.357000351,21.54965661,1.644596005,237.0462227 +10845,MN,510,21,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,263 MULBERRY STREET,M1-5B, , , , , , , , , ,N,M3,8,0,P,ST PARICKS RC CHURCH,4404,8500,8500,0,0,0,0,0,0,8500,2,1,4,0,0,48.08,91.42,48.08,45, ,0,N,5,2,337050,687150,337050,687150,1900,0,0, , ,1.93,0,5,6.5,1,1005100021,0,43,985432,202990,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,278.5918869,4327.036207,350100,9,0,10844,10846,20,4500,38.26333237,38.26333237,0,38.26333237,0,765.2666473 +10846,MN,849,55,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,30 EAST 21 STREET,M1-5M, , , , , , , , , ,N,D0,3,0,P,30 E 21ST ST OWNERS C,4900,32800,9084,23716,0,9084,0,0,0,0,2,1,9,13,14,50,92,50,102,E,3,Y,5,2,330750,4130100,4720,4720,1904,1984,0,Ladies' Mile Historic District, ,6.69,0,5,6.5,1,1008490055,0,52,987359,208619,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,333.7376255,5176.011119,3799350,7,0,10845,10847,23,5175,34.69888687,38.60555267,3.906665802,35.25113827,1.244711283,810.7761803 +10847,MN,585,1,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,464 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,D7,4,0, ,"HUDBAR ASSOCIATES, L.",25575,97290,9000,88290,0,9000,0,0,0,0,2,2,6,133,138,146.92,189.08,130,90, ,1,N,3,2,2398500,15094800,0,0,1900,1986,2012,Greenwich Village Historic District, ,3.8,3.44,2,6.5,1,1005850001,0,73,982561,205922,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,711.0586176,27385.29609,12696300,9,0,10846,10848,122,27450,18.54222298,21.4422226,2.899999619,19.47862436,0.819242856,2376.392172 +10848,MN,673,1,104,99,1019,2,3,10001,E003,10,15,5500,1,4,2B,261 11 AVENUE,M2-3, , , , , , , , , ,N,O3,5,0,P,WFNY I LLC,136000,1129200,1129200,0,168615,42283,0,0,795335,122967,2,1,9,0,42,202.67,711.25,202.67,711.25, ,0,Y,3,2,12240000,52930350,0,0,1912,0,0,West Chelsea Historic District, ,8.3,0,2,0,1,1006730001,0,99,982534,213337,8b, ,105S002,10301, ,0, ,1,1,1,17V1.1,0,1817.224238,143741.4636,40690400,2,1,10847,10849,639,143775,6.187777519,10.99777794,4.81000042,6.274049478,0.513842988,4009.117617 +10849,MN,438,12,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,408 EAST 11 STREET,R8B, , , , , , , , , ,N,E1,6,0, ,FOUR GUDS RLTY CORP,2369,2116,2116,0,0,0,0,0,2116,0,2,1,1,0,1,25,94.75,25,84.64, ,2,N,5,2,148050,262800,0,0,1900,0,0, , ,0.89,4,0,4,1,1004380012,0,34,988826,204844,12c, ,102 028,10205,E-216,0, ,1, , ,17V1.1,0,247.0026131,2463.961136,114750,12,0,10848,10850,11,2475,18.5909996,21.5225563,2.931556702,19.55071692,1.280460082,215.0578861 +10850,MN,444,49,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,60 EAST 2 STREET,R8B, , , , , , , , , ,N,Z8,9,0,X,NYC MARBLE CEMETERY,35025,35025,35025,0,0,0,0,0,0,35025,7,1,0,0,0,250,110.42,0,0, ,0,Y,5,5,778500,778500,778500,778500,0,0,0,East Village/Lower East Side Historic Di,NEW YORK CITY MARBLE CEMETERY,1,4,0,4,1,1004440049,0,3602,987322,203268,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,975.7898395,39630.6002,0,1,0,10849,10851,176,39600,33.39555359,36.83889008,3.443336487,35.27393113,0.780460041,6208.21188 +10851,MN,823,10,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,45 WEST 21 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,45 WEST 21ST ST. ASSO,10820,70000,70000,0,50000,20000,0,0,0,0,2,1,6,0,23,110.42,98.75,110,97,E,3,Y,5,2,900000,5755950,0,0,1915,1989,0,Ladies' Mile Historic District, ,6.47,10,10,10,1,1008230010,0,58,986258,209406,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,419.8269201,10991.79493,4855950,7,0,10850,10852,48,10800,33.74333191,33.74333191,0,33.74333191,0,1619.679932 +10852,MN,506,45,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,11 VANDAM STREET,R7-2,R6, , ,C1-5, , , , , ,Y,C0,2,0, ,"BEAM, SILVIA",2886,4148,0,4148,0,0,0,0,0,0,2,2,3,3,3,28.83,100.08,28.83,40,E,2,N,5,2,40760,177544,1550,1550,1899,0,0,Charlton-King-Vandam Historic District, ,1.44,3.44,0,6.5,1,1005060045,0,37,983089,203967,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,263.6671381,3021.169525,136784,0,0,10851,10853,14,3150,20.62700081,22.125,1.497999191,21.27049242,0.727189938,297.7868938 +10853,MN,628,17,102,77,3001,2,3,10014,L005,6,15,6100,1,2,3B,652 HUDSON STREET,C1-6, , , , , , , , , ,N,D0,3,0,P,GANSEVOORT COOPERATIV,16077,50962,15727,35235,8680,7047,0,0,0,0,2,1,6,14,20,131.92,246.25,131.92,246.25, ,0,Y,3,2,1125000,5696100,2360,2360,1900,2005,0, , ,3.17,3.44,2,6.5,1,1006280017,0,77,982893,208744,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,657.7331301,16928.94584,4571100,8,0,10852,10854,74,16650,18.06333351,18.91666603,0.85333252,18.17893807,0.11077825,1345.241417 +10854,MN,419,63,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,47 DELANCEY STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,DAYON REALTY CORP,4875,24853,4875,19978,0,4875,0,0,0,0,2,1,6,35,40,48.92,100,48,100, ,2,Y,3,2,172800,2013750,0,0,1920,1985,0, , ,5.1,6.02,6,6.5,1,1004190063,0,18,986562,201341,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,308.6963803,5317.3328,1840950,13,0,10853,10855,24,5400,39.86888886,41.86333466,1.994445801,40.11967595,0.577171597,962.8722229 +10855,MN,595,75,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,510 GREENWICH STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,WILLIAM GOTTLIEB,755,2280,570,1710,0,570,0,0,0,0,2,1,3,1,2,18.75,40.25,18.75,30, ,3,N,5,2,17018,60135,0,0,1899,0,0, , ,3.02,6.02,6,6.5,1,1005950075,0,37,981667,203696,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,124.7895195,849.0203369,43117,0,1,10854,10856,3,675,8.821000099,8.821000099,0,8.821000099,0,26.4630003 +10856,MN,558,17,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,120 EAST 13 STREET,C6-2A, , , , , , , , , ,N,O8,5,0, ,"DAMON PROPERTIES, LLC",2500,7584,5056,2528,2528,0,2528,0,0,0,2,1,3,2,3,25,100,25,100, ,3,N,5,2,119250,589050,0,0,1920,2007,0, , ,3.03,6.02,6,6.5,1,1005580017,0,42,987307,206291,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,260.0424665,2698.137891,469800,12,0,10855,10857,12,2700,38.19900131,42.67889023,4.479888916,38.57232539,1.238175886,462.8679047 +10857,MN,875,3,105,50,1003,2,2,10003,E014,13,14,5300,1,5,1O,239 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D6,4,0, ,"ABINGTON HOLDING, LLC",4600,51122,3500,47622,0,3500,0,0,0,0,2,1,12,44,46,46,100,46,95,E,2,N,5,2,706500,9108900,0,0,1911,1986,0, , ,11.11,10,10,10,1,1008750003,0,50,987665,208092,8d,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,305.9130809,4964.272231,8402400,5,0,10856,10858,21,4725,30.81999969,35.98110962,5.161109924,31.06576683,1.09910406,652.3811035 +10858,MN,772,33,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,221 WEST 22 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,221 WEST 22 LLC,2523,5376,0,5376,0,0,0,0,0,0,2,1,3,12,12,32,78.75,32,50, ,3,N,5,2,170550,787500,0,0,1920,1955,0, , ,2.13,4,0,4,1,1007720033,0,91,985152,210300,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,220.4229299,2487.397194,616950,2,0,10857,10859,12,2700,22.16600037,29.47222137,7.306221008,24.44905551,3.240628453,293.3886662 +10859,MN,283,74,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,28 CANAL STREET,C6-2, , , , , , , , , ,N,D7,4,0, ,"HOO LEE INC.,",1033,6116,1300,4816,0,1300,0,0,0,0,2,1,5,8,9,28.5,47.75,28,43, ,3,Y,5,2,111427,321922,0,0,1900,2006,2003, , ,5.92,6.02,6,6.5,1,1002830074,0,6,986880,199522,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,141.2459053,1124.774973,210495,13,0,10858,10860,5,1125,32.80699921,34.82110977,2.014110565,33.25833282,0.787015292,166.2916641 +10860,MN,912,14,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,223 EAST 31 STREET,R7B, , , , , , , , , ,N,S2,4,0, ,KRIEGER ROBERTA,3259,7549,3549,4000,3549,0,0,0,0,0,2,1,4,2,3,33,98.75,33,50,E,3,N,5,2,225169,264052,0,0,1920,0,0, , ,2.32,3,0,3,1,1009120014,0,70,990252,210183,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,267.7138319,3325.884304,38883,10,0,10859,10861,14,3150,26.45000076,27.03888893,0.588888168,26.53261975,0.202413678,371.4566765 +10861,MN,740,6,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,357 WEST 16 STREET,R8B, , , , , , , , , ,N,K2,5,0, ,357 WEST 16 RETAIL LL,2300,5700,5700,0,0,5700,0,0,0,0,2,1,2,0,1,25,92,25,92, ,3,N,5,0,182250,2149650,0,0,1940,2000,0, , ,2.48,4,0,4,1,1007400006,0,83,983231,209682,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,240.1729322,2452.120614,1967400,7,0,10860,10862,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +10862,MN,568,10,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,14 EAST 11 STREET,R7-2, , , , , , , , , ,N,A4,1,0, ,14 E 11TH LLC,1976,6202,0,6202,0,0,0,0,0,0,2,1,4,1,1,20.83,94.83,21,63, ,3,N,5,5,66191,488103,0,0,1900,1960,2013,Greenwich Village Historic District, ,3.14,3.44,0,6.5,1,1005680010,0,61,985778,206531,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,234.5263691,2034.729804,421912,8,0,10861,10863,9,2025,30.95599937,33.36888886,2.412889481,31.8453083,1.027637564,286.6077747 +10863,MN,872,67,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,118 EAST 17 STREET,R8A, , , , , , , , , ,N,S5,4,0, ,NEW 1804 WASH CORP,1620,5775,700,5075,0,700,0,0,0,0,2,1,5,6,7,20,81,20,68, ,3,N,5,1,34495,249269,0,0,1900,0,0,East 17th Street/Irving Place Historic D, ,3.56,6,0,6,1,1008720067,0,50,987599,207378,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,210.7704874,1707.706492,214774,5,0,10862,10864,7,1575,35.47555542,35.47555542,0,35.47555542,0,248.3288879 +10864,MN,356,100,103,20,3003,1,2,10002,E028,9,14,7600,1,3,3A,446 AVENUE D,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,38333,139000,139000,0,0,0,0,0,0,139000,2,1,5,0,1,194,214,193,206, ,1,Y,5,0,2403000,8803800,2403000,8803800,1904,1986,0, , ,3.63,3.44,0,6.5,1,1003560100,0,20,990525,201545,12c, ,102 015,10202, ,0, ,1, ,1,17V1.1,0,800.9345483,39640.37531,6400800,1,1,10863,10865,175,39375,8.611111641,9.474444389,0.863332748,8.616044971,0.065075092,1507.80787 +10865,MN,909,50,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,208 EAST 29 STREET,R8B, , , , , , , , , ,N,M9,8,0, ,REMNANT PRESBYTERIANC,4773,7153,7153,0,0,0,0,0,0,7153,2,1,2,0,5,48.33,98.75,48.33,98, ,3,N,5,2,422550,832500,0,0,1940,1981,0, , ,1.5,4,0,4,1,1009090050,0,66,989825,209651,8d, ,104 008,10308, ,0, ,1, , 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,17V1.1,0,239.6921564,2371.15647,1228050,12,0,10866,10868,10,2250,23.10400009,23.22888947,0.124889374,23.11648903,0.037466812,231.1648903 +10868,MN,886,36,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,143 EAST 30 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ANDCAR FIRST LLC,2634,10125,0,10125,0,0,0,0,0,0,2,1,5,40,40,26.67,98.75,27,89, ,3,N,5,2,540000,1149300,0,0,1930,2009,0, , ,3.84,4,0,4,1,1008860036,0,72,989615,210239,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,261.2359526,2763.101972,609300,10,0,10867,10869,12,2700,28.17889023,28.17889023,0,28.17889023,0,338.1466827 +10869,MN,401,28,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,536 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,REA ALPHABET LLC,1957,6200,0,6200,0,0,0,0,0,0,2,1,5,10,10,23.08,97,23,54, ,3,Y,5,0,17159,76026,0,0,1920,2005,0, , ,3.17,3,0,3,1,1004010028,0,32,989137,203256,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,235.2702471,1870.833382,58867,1,0,10868,10870,10,2250,14.20666695,15.46444416,1.257777214,14.7967557,0.344020874,147.967557 +10870,MN,189,28,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,28 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,D7,4,0, ,28-30 NORTH MOORE ASS,3287,23091,1332,21759,0,1332,0,0,0,0,2,1,7,6,7,37.5,87.5,38,81, ,3,N,5,2,208063,1160237,0,0,1915,0,0,Tribeca West Historic District, ,7.02,6.02,6,6.5,1,1001890028,0,33,982146,201465,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,268.0018125,3732.568468,952174,14,1,10869,10871,18,4050,10.17444515,14.86666679,4.692221642,10.47143274,1.076425378,188.4857893 +10871,MN,416,36,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,58 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,A4,1,0, ,"HALE GURLAND TRUSTEE,",3373,7100,0,7100,0,0,0,0,0,0,2,1,3,1,1,42.17,80,42.33,74, ,3,N,5,2,18719,86592,0,0,1990,0,0, , ,2.1,4,4,4,1,1004160036,0,3601,986956,201895,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,251.5940349,3552.218492,67873,13,0,10870,10872,15,3375,37.29800034,40.33333206,3.035331726,37.50263723,0.75658293,562.5395584 +10872,MN,622,34,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,286 WEST 11 STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,"BLEECKER GARDENS,",1279,5990,900,5090,0,900,0,0,0,0,2,1,5,8,10,33.08,38.67,33,39, ,3,Y,3,2,228111,506665,0,0,1905,1990,0,Greenwich Village Historic District, ,4.68,3.44,2,6.5,1,1006220034,0,73,982879,207369,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,151.1858078,1425.751086,278554,8,0,10871,10873,7,1575,24.5988884,24.5988884,0,24.5988884,0,172.1922188 +10873,MN,189,42,101,33,3016,2,1,10013,E007,1,15,7700,1,1,3B,226 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,A9,1,0,P,SC ASSETS LLC,1700,5235,0,5235,0,0,0,0,0,0,2,1,4,1,1,25,60.25,25,60.25, ,3,Y,5,2,83255,255171,0,0,1915,2001,0,Tribeca West Historic District, ,3.08,6.02,6,6.5,1,1001890042,0,33,982455,201384,12a, ,101S035,10105, ,0, ,1, ,1,17V1.1,0,197.9207263,1840.912864,171916,14,1,10872,10874,9,2025,10.09599972,11.18111038,1.085110664,10.21656757,0.341017382,91.94910812 +10874,MN,591,45,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,327 BLEECKER STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,WILLIAM GOTTLIEB,1112,3481,1500,1981,0,1500,0,0,0,0,2,1,4,3,5,20.58,83,21,82, ,2,Y,3,5,277897,600207,0,0,1900,0,0,Greenwich Village Historic District, ,3.13,3.44,2,6.5,1,1005910045,0,73,983142,206456,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,200.9960894,1273.613295,322310,9,0,10873,10875,5,1125,23.46111107,25.58444405,2.123332977,24.36975555,0.995247831,121.8487778 +10875,MN,526,54,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,94 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C2,2,0,P,CLEMENTE FRANCESCO,4011,6736,0,6736,0,0,0,0,0,0,2,1,4,6,6,40.08,100.08,40.08,42, ,3,N,5,5,186701,700229,0,0,1900,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.68,3.44,0,6.5,1,1005260054,0,65,983901,204767,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,283.1152562,4065.842396,513528,9,0,10874,10876,18,4050,23.22699928,25.03111076,1.804111481,23.63485124,0.550167245,425.4273224 +10876,MN,828,67,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,34 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,ROYAL REALTY CO,6764,66627,66627,0,57627,6000,0,0,3000,0,2,1,12,0,21,68.5,98.75,69,97,E,3,N,5,2,2070000,6068250,0,0,1911,0,0,Madison Square North Historic District, ,9.85,0,10,10,1,1008280067,0,58,986983,210636,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,340.7032188,6972.306425,3998250,2,0,10875,10877,31,6975,42.13444519,44.8777771,2.743331909,42.35874976,0.707881119,1313.121243 +10877,MN,771,11,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,253 WEST 21 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,"CHOW, VANESSA",1646,2890,0,2245,0,0,0,0,0,0,2,1,3,2,2,16.67,98.75,16.67,20, ,0,N,5,1,25909,84823,0,0,1901,2013,2013, , ,1.76,4,0,4,1,1007710011,0,87,984644,210299,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,233.9131887,1628.000767,58914,7,0,10876,10878,8,1800,21.99111176,25.93000031,3.93888855,23.53236127,1.6089081,188.2588902 +10878,MN,286,8,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,223 HENRY STREET,R7-2, , , , , , , , , ,N,S3,4,0,P,MAN HING LLC,2064,4432,1108,3324,0,1108,0,0,0,0,2,1,3,3,4,23.58,87.5,23.58,60,E,0,N,5,5,66179,96749,0,0,1910,0,0, , ,2.15,3.44,0,6.5,1,1002860008,0,201,988020,199367,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,233.6663613,2295.814958,30570,13,0,10877,10879,11,2475,29.71888924,31.3255558,1.606666565,30.14606094,0.594983926,331.6066704 +10879,MN,595,11,101,39,1002,2,1,10013,L008,1,15,7700,1,1,3B,530 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,530 CANAL ST REALTY C,4858,28158,8158,20000,0,8158,0,0,0,0,2,1,6,10,12,80.42,60.25,81,60, ,2,Y,5,1,181350,2876400,7080,7080,1900,0,0, , ,5.8,6.02,6,6.5,1,1005950011,0,39,981340,203382,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,285.675631,4988.767142,2695050,0,1,10878,10880,23,5175,7.28000021,7.809999943,0.529999733,7.763913009,0.149338732,178.5699992 +10880,MN,448,46,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,319 EAST 6 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,NOOF LLC,1635,4748,0,3561,0,0,0,0,0,0,2,1,4,3,3,20,81.75,20,68,E,3,N,5,1,38811,110367,0,0,1900,1984,2006,East Village/Lower East Side Historic Di, ,2.9,4,0,4,1,1004480046,0,38,987739,204195,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,218.317927,1946.984556,71556,1,0,10879,10881,9,2025,27.1590004,31.96555328,4.806552887,28.1804568,1.913532346,253.6241112 +10881,MN,615,96,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,273 WEST 12 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"ERIC SCHNEIDER, TRUST",1276,1967,0,1967,0,0,0,0,0,0,2,1,3,2,2,22.08,57.25,22.08,24, ,3,Y,5,2,55000,225334,0,0,1899,2013,0,Greenwich Village Historic District, ,1.54,2.43,0,4.8,1,1006150096,0,77,983289,208050,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,164.7492914,1462.456499,170334,8,0,10880,10882,7,1575,21.74111176,21.74111176,0,21.74111176,0,152.1877823 +10882,MN,406,4,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,200 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,200 AVE. A. LLC,2472,9037,2130,6907,2130,0,0,0,0,0,2,1,6,15,16,25.75,96,26,86,E,3,N,5,2,267750,1191600,0,0,1910,1987,2013, , ,3.66,4,0,4,1,1004060004,0,34,989560,204965,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,245.2000993,2545.863996,923850,12,0,10881,10883,12,2700,13.0880003,17.99755669,4.909556389,13.49713,1.356929702,161.96556 +10883,MN,543,44,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,146 WEST 4 STREET,R7-2, , , , , , , , , ,N,C6,2,0, ,146 W 4 ST APARTMENT,2289,8861,1575,7286,0,1575,0,0,0,0,2,1,4,5,7,20.92,109,21,98, ,3,N,5,1,181079,666350,2360,2360,1900,0,0,South Village Historic District, ,3.87,3.44,0,6.5,1,1005430044,0,65,984080,205697,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,269.9881731,2433.730917,485271,9,0,10882,10884,11,2475,18.19555664,19.51111031,1.315553665,18.31515243,0.378195088,201.4666767 +10884,MN,911,16,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,225 EAST 30 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,JOMANNY REALTY LLC,1481,4375,0,4375,0,0,0,0,0,0,2,1,3,7,7,20,98.75,20,68, ,2,N,5,1,91491,353441,0,0,1900,1987,0, , ,2.95,3,0,3,1,1009110016,0,70,990120,209960,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,239.0404287,2005.948253,261950,10,0,10883,10885,9,2025,29.97299957,29.97299957,0,29.97299957,0,269.7569962 +10885,MN,347,80,103,14.02,2005,1,1,10002,L018,7,14,7400,1,3,2B,150 BROOME STREET,R8, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,43533,180090,0,180090,0,0,0,0,0,0,2,2,23,181,181,298.17,146,55,152, ,1,Y,3,2,1381500,14736150,1381500,14736150,1971,0,0, , ,4.14,6.02,0,6.5,1,1003470080,0,1402,988405,200437,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,898.32194,44558.9097,13354700,13,0,10884,10886,197,44325,20.80444527,26.79333305,5.988887787,24.54316983,1.258869453,4835.004456 +10886,MN,525,63,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,104 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,S4,4,0,P,LISA GIUNTA,1165,5069,0,5069,0,0,0,0,0,0,2,1,5,4,5,18.92,61.58,19,62,E,3,N,5,5,114271,239791,0,0,1900,0,0,South Village Historic District, ,4.35,3.44,0,6.5,1,1005250063,0,65,984167,204296,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,166.9850689,1288.876437,125520,9,0,10885,10887,6,1350,23.62666702,23.62666702,0,23.62666702,0,141.7600021 +10887,MN,450,28,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,348 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"T/S 348 EAST 9, LLC",2348,10986,1000,9986,1000,0,0,0,0,0,2,1,6,14,15,25,93.92,25,82, ,3,N,5,2,186300,1162350,0,0,1900,0,0, , ,4.68,4,0,4,1,1004500028,0,38,988264,204589,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,247.719148,2421.487009,976050,12,0,10886,10888,12,2700,25.4810009,26.52111053,1.040109634,25.5676767,0.287471117,306.8121204 +10888,MN,922,19,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,259 1 AVENUE,C1-6A, , , , , , , , , ,N,K4,4,0,P,FIRST AVE &FIFTEENTHE,1460,5475,3650,1825,0,3650,0,0,0,0,2,1,4,3,5,18.25,80,18.25,40,E,2,N,3,2,208800,587250,0,0,1910,0,0, , ,3.75,4,2,4,1,1009220019,0,48,989159,206051,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,215.4019264,1754.032165,378450,5,0,10887,10889,7,1575,19.57900047,21.3255558,1.746555328,19.82850838,0.611167052,138.7995586 +10889,MN,436,3,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4B,142 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S5,4,0, ,CASIMIRO I FAMILY LIM,2000,4965,1000,3965,0,1000,0,0,0,0,2,1,4,5,6,25,80,25,61,E,3,N,5,5,53236,176194,0,0,1900,1982,0, , ,2.48,4,0,4,1,1004360003,0,32,988474,204452,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,208.7914115,1921.022883,122958,12,0,10888,10890,10,2250,17.84799957,21.39511108,3.547111511,19.06995525,1.293221613,190.6995525 +10890,MN,912,19,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,233 EAST 31 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,233 E 31ST ST TENANTS,1975,5575,0,5575,0,0,0,0,0,0,2,1,4,5,5,20,98.75,20,72,E,3,N,5,1,135275,575651,7080,7080,1926,1984,0, , ,2.82,3,0,3,1,1009120019,0,70,990324,210142,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,240.3744174,1946.739786,440376,10,0,10889,10891,9,2025,26.45000076,30.18111229,3.731111526,27.23716121,1.475331904,245.1344509 +10891,MN,292,29,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,5 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,CHINESE LANDLORDS ASS,1926,8370,1400,6970,0,1400,0,0,0,0,2,1,6,9,13,25.83,75,26,53, ,2,Y,5,2,130500,850950,0,0,1900,0,0, , ,4.35,3.44,6,6.5,1,1002920029,0,16,985904,199619,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,208.6932635,2141.842582,720450,16,0,10890,10892,9,2025,39.91899872,41.95000076,2.031002045,40.17183855,0.633282922,361.5465469 +10892,MN,568,15,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,24 EAST 11 STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,"COHN, MICHAEL",2371,5696,0,3962,0,0,0,0,0,0,2,1,3,3,3,25,94.83,25,78, ,3,N,5,1,95432,263430,1550,1550,1900,1996,0,Greenwich Village Historic District, ,2.4,3.44,0,6.5,1,1005680015,0,61,985891,206469,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,242.547682,2420.10584,167998,8,0,10891,10893,11,2475,30.95599937,32.84666443,1.890665054,31.2186255,0.588709289,343.4048805 +10893,MN,10,32,101,9,1026,2,1,10004,L015,1,15,7700,1,1, ,6 STONE STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,6 STONE STREET LLC,1932,9075,5601,3474,0,5601,0,0,0,0,2,1,5,2,6,24.5,77.83,24,80, ,3,Y,5,2,380250,1203750,0,0,1910,0,0, , ,4.7,10,15,15,1,1000100032,0,9,980790,195721,12b, ,101S001,10101, ,0, ,1, ,1,17V1.1,0,217.040004,1969.738059,823500,17,1,10892,10894,10,2250,9.789999962,10.94777775,1.157777786,9.986111069,0.400149735,99.86111069 +10894,MN,164,58,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,197 WORTH STREET,C6-1, , , , , ,TA, , , ,N,K4,4,0, ,MAZET REALTY CORP,696,2784,1392,1392,696,696,0,0,0,0,2,1,4,2,4,47.5,38.33,48,30, ,3,Y,5,2,45000,280350,0,0,1900,0,0, , ,4,3.44,6,6.5,1,1001640058,0,29,984474,199365,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,118.9656882,648.7423261,235350,16,0,10893,10895,4,900,25.58300018,25.78899956,0.205999374,25.63450003,0.089200346,102.5380001 +10895,MN,420,62,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,175 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,D3,3,0,O,NEW YORK CITY HOUSIN,15138,61380,0,61380,0,0,0,0,0,0,2,1,9,72,72,151.17,100.5,116,58, ,1,Y,5,2,72000,6686100,72000,6686100,1988,0,0, , ,4.05,4,4,4,1,1004200062,0,18,986706,201711,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,504.1427444,15215.63813,6614100,13,0,10894,10896,68,15300,41.06555557,43.88222122,2.816665649,41.71632279,0.394251395,2836.709949 +10896,MN,100,26,101,15.01,1008,2,1,10038,E006,1,15,7700,1,1,1H,138 NASSAU STREET,C6-4, , , , , ,LM, , , ,N,D4,3,0, ,140 NASSAU RESIDENCE,5964,79422,6000,73422,0,6000,0,0,0,0,2,1,14,39,43,85,70,83,70, ,2,Y,3,2,1152000,7058700,75900,75900,1901,1988,0, ,MORSE BUILDING (LATER NASSAU-BEEKMA,13.32,10,10,10,1,1001000026,0,1501,982536,198403,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,323.4681548,6494.597671,5906700,4,0,10895,10897,29,6525,34.79800034,37.9711113,3.173110962,35.19114974,0.987492936,1020.543343 +10897,MN,882,44,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,360 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,360-364 THIRD OWNER L,2670,9073,1800,7273,0,1800,0,0,0,0,2,1,5,10,11,24,112,24,73, ,3,N,5,2,116550,1130400,0,0,1920,0,0, , ,3.4,10,2,10,1,1008820044,0,68,989244,209254,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,281.7679242,2959.674839,1013850,11,0,10896,10898,13,2925,33.1230011,38.59999847,5.476997375,33.82142815,1.678701269,439.678566 +10898,MN,274,2,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,49 MONROE STREET,R7-2, , , , , , , , , ,N,F9,6,0, ,"ARTISTS HALL, LLC",2500,4600,4600,0,1150,0,0,0,3450,0,2,1,4,0,2,25,100,25,46,E,3,N,5,2,130050,347850,0,0,1940,1985,0, , ,1.84,3.44,0,6.5,1,1002740002,0,8,985987,198625,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,255.988825,2574.841062,217800,16,0,10897,10899,11,2475,24.63366699,30.87888908,6.245222092,25.20141446,1.795375118,277.215559 +10899,MN,475,32,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,62 GRAND STREET,M1-5A, , , , , , , , , ,N,O9,5,0, ,62 MANAGEMENT CORP.,2500,16000,9250,6750,6750,2500,0,0,0,0,2,1,7,2,8,25,100,25,100, ,3,N,5,2,450000,1304100,0,0,1920,1987,0,SoHo-Cast Iron Historic District, ,6.4,0,5,6.5,1,1004750032,0,47,983348,202454,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,256.5088055,2492.436925,854100,0,1,10898,10900,12,2700,9.686666489,9.686666489,0,9.686666489,0,116.2399979 +10900,MN,731,60,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,430 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,D4,3,0,P,CONVENTION OVERLOOK I,9850,108402,0,108402,0,0,0,0,0,0,2,1,17,178,178,99.75,98.75,100,65, ,3,N,5,2,429300,10836000,200940,200940,1963,0,0, , ,11.01,10,10,10,1,1007310060,0,103,984895,213856,8d, ,105S018,10302, ,0, ,1, , ,17V1.1,0,393.512239,9678.058642,10406700,6,0,10899,10901,43,9675,43.60599899,52.77000046,9.164001465,46.44206158,3.67721401,1997.008648 +10901,MN,482,3,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,45 CROSBY STREET,M1-5B, , , , , , , , , ,N,D4,3,0,P,45-47 CROSBY ST TENAN,5008,33150,4500,28650,0,4500,0,0,0,0,2,1,7,12,13,50.08,100,50,99,E,3,N,5,2,225450,4329000,4720,4720,1920,1987,2011,SoHo-Cast Iron Historic District Extensi, ,6.62,0,5,6.5,1,1004820003,0,45,984687,202236,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,307.3368284,5220.020603,4103550,0,0,10900,10902,23,5175,30.09777832,30.94300079,0.845222473,30.87040171,0.235267637,710.0192394 +10902,MN,458,29,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,43 2 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,43 SECOND AVENUE LLC,2200,16027,5687,10340,0,5687,0,0,0,0,2,1,7,5,6,22,100,22,94, ,2,N,5,2,225000,1355400,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,7.29,6.02,6,6.5,1,1004580029,0,3602,986903,203547,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,245.7291506,2296.892284,1130400,1,0,10901,10903,10,2250,37.60888672,38.87888718,1.270000458,37.80333138,0.411058569,378.0333138 +10903,MN,293,12,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,78 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,78 CANAL REALTY,1875,6925,1400,5525,0,1400,0,0,0,0,2,1,5,8,10,25,75,25,54, ,3,N,5,2,131600,407323,0,0,1900,1981,0, , ,3.69,3.44,6,6.5,1,1002930012,0,16,986145,199794,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,204.8960649,1935.899548,275723,16,0,10902,10904,8,1800,40.44533157,42.04333115,1.597999573,41.23508167,0.399535585,329.8806534 +10904,MN,914,26,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,603 2 AVENUE,C1-8A, , , , , ,TA, , , ,N,S9,4,0, ,CLODEL REALTY CORP,1500,4227,782,3445,0,782,0,0,0,0,2,1,4,2,4,20,75,20,72,E,2,N,3,5,346965,805846,0,0,1910,0,0, , ,2.82,7.52,2,7.5,1,1009140026,0,70,990741,210453,8d, ,104 021,10308, ,0, ,1, , 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STREET,1518,3264,0,2448,0,0,0,0,0,0,2,1,3,1,1,16.5,92,16.5,48, ,3,N,5,1,52253,150913,0,0,1910,0,0,Chelsea Historic District, ,2.15,3,0,3,1,1007430062,0,89,983883,210267,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,225.0424649,1671.605936,98660,7,0,10908,10910,6,1350,15.57888889,18.70111084,3.122221947,16.45462958,1.271030473,98.72777748 +10910,MN,875,7503,106,50,1003,2,2,10003,E014,13,14,5300,1,6, ,18 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,R4,3,0, , ,5360,69244,0,69244,0,0,0,0,0,0,2,1,19,16,16,0.12,0,40,134, ,3,N,0,5,1206000,13147202,0,0,1927,0,0, , ,12.92,3,0,3,1,1008757503,2381,50,988003,207963,12c, ,102 046,10307, ,1008750065,7/11/2013,1, , ,17V1.1,7,364.3264013,5821.201308,11941200,5,0,10909,10911,26,5850,30.81999969,31.35111237,0.531112671,30.8551536,0.111502514,802.2339935 +10911,MN,574,25,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,38 WEST 11 STREET,R6, , , , , , , , , ,N,C3,2,0, ,ATKINS LINDA,2053,4058,0,4058,0,0,0,0,0,0,2,1,3,4,4,21.67,94.75,22,88,E,3,N,5,5,264705,443795,0,0,1900,0,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005740025,0,63,985169,206869,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.779973,2131.572861,179090,8,0,10910,10912,10,2250,24.13299942,26.17889023,2.045890808,24.47895508,0.636876895,244.7895508 +10912,MN,528,7,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,196 WEST HOUSTON STREET,R6, , , , , , , , , ,N,A9,1,0,P,SHATTER SCAPE HOLDING,2575,7200,0,7200,0,0,0,0,0,0,2,1,3,1,1,25,108.75,25.83,96, ,2,Y,5,2,85427,260708,0,0,1899,2005,0, , ,2.8,2.43,0,4.8,1,1005280007,0,67,983181,204770,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,303.8069434,3106.195741,175281,9,0,10911,10913,13,2925,15.38333321,15.38333321,0,15.38333321,0,199.9833317 +10913,MN,784,4,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,486 8 AVENUE,C6-4M, , , , , , , , , ,N,K4,4,0, ,486 8TH AVENUE OWNER,1178,3398,3398,0,0,1178,0,2220,0,0,2,1,4,0,1,19.64,60,19.64,60,E,3,Y,5,2,137700,563400,0,0,1928,0,0, , ,2.88,10,10,10,1,1007840004,0,109,986187,213385,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,167.3056145,1322.763395,425700,6,0,10912,10914,6,1350,34.68444443,34.68444443,0,34.68444443,0,208.1066666 +10914,MN,909,7501,106,66,1000,2,2,10016,E016,13,14,5800,2,6, ,515 2 AVENUE,C1-8A, , , , , , , , , ,N,RM,4,0, ,PRISM REALTY CORP,1900,5892,1412,4480,0,1412,0,0,0,0,2,1,5,8,9,24.67,82,25,48, ,0,N,0,5,34873,448551,2360,2360,1910,0,0, , ,3.1,7.52,2,7.5,1,1009097501,914,66,990179,209439,8d, ,104 008,10308, ,1009090032,12/14/1995,1, , ,17V1.1,7,210.2465995,1931.854251,413678,11,0,10913,10915,8,1800,34.61700058,35.31000137,0.693000793,34.77136183,0.270017322,278.1708946 +10915,MN,440,47,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,425 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,425 EAST LLC,2504,6792,0,6792,0,0,0,0,0,0,2,2,4,12,12,24.25,103.25,24.25,40, ,0,N,5,5,187650,544500,0,0,1900,0,0, , 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,17V1.1,7,475.2042402,5988.527081,4900790,0,0,10916,10918,26,5850,22.21222115,22.21222115,0,22.21222115,0,577.5177498 +10918,MN,299,29,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,21 ORCHARD STREET,C6-2, , , , , , , , , ,N,L8,6,0, ,KUPER RLTY CORP,879,3125,3125,0,0,3125,0,0,0,0,2,1,4,0,2,17.58,50,18,50,E,3,N,5,2,51750,330300,0,0,1900,0,0, , ,3.56,6.02,6,6.5,1,1002990029,0,16,986511,199900,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,137.7541116,874.097361,278550,13,0,10917,10919,4,900,40.40000153,40.40000153,0,40.40000153,0,161.6000061 +10919,MN,546,8,102,59,3005,2,1,10003,L009,6,15,5700,1,2,2A,26 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,2787,17163,17163,0,0,0,0,0,0,17163,2,1,7,0,1,34.83,80,34.84,80,E,3,N,5,2,449100,1493550,449100,1493550,1900,0,0, , ,6.16,3.44,0,6.5,1,1005460008,0,59,985398,205166,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,241.8399687,3062.024909,1044450,9,0,10918,10920,13,2925,32.96888733,32.96888733,0,32.96888733,0,428.5955353 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+10924,MN,379,23,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,428 EAST 10 STREET,R8B, , , , , , , , , ,N,S9,4,0, ,428 430 EAST 10TH STR,3782,14104,3500,10604,0,3500,0,0,0,0,2,1,4,6,8,41,92.25,41,87, ,3,Y,4,2,72555,470073,0,0,1920,0,0, , ,3.73,4,0,4,1,1003790023,0,28,990811,203458,12c, ,102 023,10202, ,1003790023,12/13/1988,1, ,1,17V1.1,0,268.3019155,3753.114001,397518,12,1,10923,10925,17,3825,7.409999847,10.2122221,2.802222252,7.718954086,0.848259545,131.2222195 +10925,MN,774,83,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,294 8 AVENUE,C6-2A, , , , , , , , , ,N,O5,5,0, ,294 EIGHTH AVE RLTYCP,1694,6000,6000,0,3388,2612,0,0,0,0,2,1,3,0,1,27.33,62,27.33,62, ,0,N,3,5,133650,807750,0,0,1910,1969,2000, , ,3.54,6.02,6,6.5,1,1007740083,0,91,984978,211200,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,185.5128386,1848.436206,674100,2,0,10924,10926,9,2025,22.86488914,24.85199928,1.987110138,24.50446871,0.627040482,220.5402184 +10926,MN,720,41,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,413 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,413-415 WEST 22 LLC,1481,3500,0,3500,0,0,0,0,0,0,2,1,4,8,8,15,98.75,15,54, ,3,N,5,2,70735,329799,0,0,1900,1984,0,Chelsea Historic District Extension, ,2.36,3,0,3,1,1007200041,0,93,983649,211149,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,219.3638006,1454.811483,259064,2,1,10925,10927,8,1800,9.369999886,9.391111374,0.021111488,9.372638822,0.006981968,74.98111057 +10927,MN,416,65,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,151 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"ORCHARD REALTY,",2194,9357,1700,7657,0,1700,0,0,0,0,2,1,6,18,21,25.08,87.5,25,87,E,3,N,4,2,270000,1537650,0,0,1900,1986,0, , ,4.26,4,4,4,1,1004160065,0,3001,987257,201866,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.4532371,2293.143975,1267650,13,0,10926,10928,10,2250,34.84777832,37.2266655,2.378887177,35.08566704,0.713666153,350.8566704 +10928,MN,885,36,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,143 EAST 29 STREET,R8B, , , , , , , , , ,N,S4,4,0, ,RIMA ASSOCCIATES INC,1975,5096,1096,4000,0,1096,0,0,0,0,2,1,3,4,5,20,98.75,20,88,E,0,N,5,5,158277,367243,0,0,1901,0,0, , ,2.58,4,0,4,1,1008850036,0,72,989502,210009,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,243.5642341,2070.617413,208966,11,0,10927,10929,9,2025,30.56200027,30.56200027,0,30.56200027,0,275.0580025 +10929,MN,486,17,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,83 GREENE STREET,M1-5A, , , , , , , , , ,N,K2,5,0, ,CJ TAN SPRING LLC,4943,12747,12747,0,0,12747,0,0,0,0,2,1,3,0,5,51,96.92,97,51, ,3,Y,3,2,1237500,11358900,0,0,1987,2005,2006,SoHo-Cast Iron Historic District, ,2.58,0,5,6.5,1,1004860017,0,49,984060,202974,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,317.4003526,5630.773885,10121400,0,0,10928,10930,26,5850,11.1744442,22.58444405,11.40999985,13.87161519,4.261073628,360.6619949 +10930,MN,450,11,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,312 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,HIGHPOINT DEVELOPERS,2196,10074,1925,8149,0,1925,0,0,0,0,2,1,6,16,18,25,87.83,25,78, ,3,N,5,2,170100,1206000,0,0,1910,0,0, , ,4.59,4,0,4,1,1004500011,0,38,987937,204775,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,231.8443894,2284.173602,1035900,12,0,10929,10931,10,2250,25.4810009,30.63777733,5.156776428,25.99667854,1.547032928,259.9667854 +10931,MN,531,42,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,350 BOWERY,M1-5B, , , , , , , , , ,N,S2,4,0, ,"THREE TO GET READY, L",1873,6390,1800,4590,0,1800,0,0,0,0,2,1,3,2,3,24.58,91.92,24.58,83, ,3,Y,5,2,51251,111831,0,0,1920,0,0, , ,3.41,0,5,6.5,1,1005310042,0,5502,986455,204047,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,242.1243578,2427.941682,60580,9,0,10930,10932,11,2475,41.26444626,41.26444626,0,41.26444626,0,453.9089088 +10932,MN,475,10,102,47,2009,2,1,10013,L008,1,15,6800,1,2,1A,357 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,357 W. BROADWAY AA LL,1787,3360,3360,0,0,3360,0,0,0,0,2,1,2.5,0,1,21.14,83.5,21,80,E,3,N,5,2,405000,1096650,0,0,1825,2013,0,SoHo-Cast Iron Historic District, ,1.88,0,5,6.5,1,1004750010,0,47,983419,202650,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,215.8455231,1842.602451,691650,0,1,10931,10933,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +10933,MN,401,52,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,523 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,523 EAST 5TH STREET H,2426,6870,0,6870,0,0,0,0,0,0,2,1,5,8,9,25,97,25,54, ,3,N,5,2,42339,187577,0,0,1900,0,0, , ,2.83,3,0,3,1,1004010052,0,32,988919,203259,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,251.5804206,2490.34269,145238,1,0,10932,10934,12,2700,14.20666695,15.79555607,1.588889122,14.56268541,0.573734178,174.7522249 +10934,MN,699,37,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,311 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,C4,2,0,P,311 10TH AVENUE ASSOC,2467,4000,800,3200,0,800,0,0,0,0,2,2,4,6,7,24.67,100,24,94,E,1,N,3,2,161550,166050,0,0,1925,1982,0, , ,1.62,7.52,6,10,1,1006990037,0,99,983621,212836,8b, ,105S004,10301, ,0, ,1, , ,17V1.1,0,258.7982176,2764.764178,4500,2,0,10933,10935,13,2925,13.97222233,14.87444496,0.902222633,14.40692322,0.194193319,187.2900019 +10935,MN,412,43,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,170 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,170-172 REALTY CORP,2215,8610,1722,6888,0,1722,0,0,0,0,2,1,5,16,17,24.75,89.5,25,72, ,3,N,5,2,257400,1008900,0,0,1910,0,0, , ,3.89,4,4,4,1,1004120043,0,3001,987746,202119,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,232.3804314,2273.106878,751500,1,0,10934,10936,10,2250,30.23399925,32.78555679,2.551557541,30.48915501,0.765467262,304.8915501 +10936,MN,905,55,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,204 EAST 25 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,LL 204 EAST 25TH STRE,2403,9595,0,9595,0,0,0,0,0,0,2,1,5,21,21,24.33,98.75,24,80, ,3,N,5,2,112500,1619550,0,0,1920,1986,0, , ,3.99,4,0,4,1,1009050055,0,66,989281,208775,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,249.0812268,2478.568142,1507050,11,0,10935,10937,10,2250,26.78800011,26.78800011,0,26.78800011,0,267.8800011 +10937,MN,858,17,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,86 MADISON AVENUE,C5-2, , , , , , , , , ,N,H1,5,0,P,88 MADISON HOTEL FEE,17895,185785,0,14859,0,0,0,0,0,0,2,3,12,7,8,123.42,145,24.67,68,E,0,N,5,5,5130000,30221100,0,0,1904,1990,2003, , ,10.38,10,10,10,1,1008580017,0,74,988184,210527,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,715.414293,23303.37528,25091100,11,0,10936,10938,104,23400,37.11999893,38.89199829,1.771999359,38.81345566,0.324285696,4036.599388 +10938,MN,201,27,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,7 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,7 ELIZABETH ST REALTY,2450,12305,4900,7405,0,4900,0,0,0,0,2,1,5,16,21,25.5,94.83,25,84, ,3,Y,5,1,168750,702900,0,0,1915,1989,0, , ,5.02,3.44,6,6.5,1,1002010027,0,29,984876,200055,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,246.7627805,2510.700841,534150,14,0,10937,10939,12,2700,33.0379982,39.08000183,6.042003632,33.67610963,1.688906845,404.1133156 +10939,MN,719,8,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,459 WEST 21 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,"BORTHWICK, JOHN K.L.",1728,5630,0,4430,0,0,0,0,0,0,2,1,4,1,1,17.5,98.75,18,48, ,3,N,5,1,87219,276480,0,0,1910,1964,1999,Chelsea Historic District, ,3.26,3,0,3,1,1007190008,0,89,983049,211184,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,239.2576668,1744.692612,189261,7,1,10938,10940,8,1800,9.307999611,11.66333294,2.355333328,9.735444069,0.8076582,77.88355255 +10940,MN,578,70,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,117 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,C4,2,0,P,117 VARICK STREET LLC,2685,10550,0,10550,0,0,0,0,0,0,2,1,5,11,11,29.83,90,29,73, ,3,Y,5,2,270000,1199700,0,0,1870,2013,0, , ,3.93,0,10,10,1,1005780070,0,37,982506,203314,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,242.6304837,2724.333531,929700,0,1,10939,10941,13,2925,11.90100002,15.62111092,3.720110893,12.45701709,1.212383526,161.9412222 +10941,MN,779,45,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,360 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0,P,CORNER REALTY 30/7 IN,1856,7424,7424,0,3712,3712,0,0,0,0,2,1,4,0,6,24.75,75,25,75, ,3,N,3,2,363150,2254500,0,0,1908,0,0, , ,4,0,10,10,1,1007790045,0,95,986244,211973,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,213.1793614,2157.402413,1891350,6,0,10940,10942,10,2250,31.05999947,34.64222336,3.582223892,31.80033321,1.383781498,318.0033321 +10942,MN,924,33,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,319 1 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0, ,319 FIRST AVENUE REAL,2300,5152,1000,4152,0,1000,0,0,0,0,2,2,4,3,4,23,100,23,53, ,3,N,5,5,280582,569650,0,0,1910,2012,2012, , ,2.24,4,2,4,1,1009240033,0,48,989551,206781,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,253.4781638,2420.640384,289068,5,0,10941,10943,10,2250,14.83555603,14.83555603,0,14.83555603,0,148.3555603 +10943,MN,908,7501,106,66,2001,2,2,10016,E016,13,14,5800,2,6, ,200 EAST 28 STREET,C2-8,R8B, , , , , , , , ,Y,RM,4,0, ,OWNER / AGENT,6254,26998,2379,24619,0,2379,0,0,0,0,2,1,6,43,44,0.14,0,0,49.4, ,0,N,5,5,534149,3934349,40321,137391,1965,1964,0, , ,4.32,10,2,10,1,1009087501,503,66,989620,209490,8d, ,104 008,10308, ,1009080054,2/8/1988,1, , ,17V1.1,7,422.6404278,6708.9682,3400200,11,0,10942,10944,29,6525,39.05888748,41.26666641,2.207778931,39.28356578,0.624975797,1139.223408 +10944,MN,219,7503,101,39,1014,2,1,10013,L008,1,15,7700,3,1, ,35 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,2481,10951,0,10951,0,0,0,0,0,0,2,1,8,6,6,0.05,0,0,0, ,0,N,0,5,166040,1365005,2360,2360,1915,0,0,Tribeca North Historic District, ,4.41,6.02,6,6.5,1,1002197503,1132,39,981781,202497,12a, ,11N 040,10105, ,1002190017,12/14/2000,1, , ,17V1.1,7,251.6151655,2469.404551,1198970,0,1,10943,10945,11,2475,10.46666718,12.75777817,2.291110992,10.67494999,0.658648101,117.4244499 +10945,MN,412,40,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,162 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,YING LUNG CORP.,2237,12102,2017,10084,0,2017,0,0,0,0,2,1,6,20,22,25,89.5,24,89, ,2,N,3,2,225000,1489500,0,0,1900,1980,2014, , ,5.41,4,4,4,1,1004120040,0,3001,987718,202048,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,237.5594522,2507.157491,1264500,1,0,10944,10946,11,2475,30.23399925,30.23399925,0,30.23399925,0,332.5739918 +10946,MN,164,54,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,1 MOTT STREET,C6-1, , , , , ,TA, , , ,N,K4,4,0, ,J & G FAMILY PARTNERS,2527,9600,7242,2358,4715,2527,0,0,0,0,2,2,4,3,8,64.5,78,54,51, ,3,Y,3,5,307800,1383300,0,0,1915,0,0, , ,3.8,3.44,6,6.5,1,1001640054,0,29,984566,199318,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,260.226435,2918.587579,1075500,16,0,10945,10947,14,3150,25.58300018,25.58300018,0,25.58300018,0,358.1620026 +10947,MN,146,7502,101,33,2011,2,1,10013,E007,1,15,7700,3,1, ,150 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,OWNER / AGENT,4930,26327,6144,20183,0,6144,0,0,0,0,2,1,5,8,17,42.41,116.58,0,0, ,0,Y,5,5,585000,3863700,2360,2360,1915,0,0,Tribeca South Historic District, ,5.34,6.02,6,6.5,1,1001467502,804,33,981936,200237,12a, ,101S017,10104, ,1001460012,1/7/1992,1, , ,17V1.1,7,334.6651608,5609.718081,3278700,14,0,10946,10948,25,5625,16.87777901,19.46666718,2.588888168,17.04602341,0.586859232,426.1505852 +10948,MN,823,61,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,32 WEST 22 STREET,C6-4A, , , , , , , , , ,N,O5,5,0,P,"32 WEST 22ND STREET,",3144,17147,17147,0,14347,2800,0,0,0,0,2,1,6,0,6,32.58,98.75,32.58,87.75,E,0,Y,5,2,670500,2125800,0,0,1900,1965,0,Ladies' Mile Historic District, ,5.45,10,10,10,1,1008230061,0,58,986476,209400,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,266.246278,3230.058987,1455300,7,0,10947,10949,14,3150,33.74333191,33.8694458,0.126113892,33.75234004,0.032479293,472.5327606 +10949,MN,281,28,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,60 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,FUTURAMA REAL ESTATES,1732,8825,2550,6275,0,2550,0,0,0,0,2,1,5,7,8,25.08,68.67,25,60, ,3,Y,5,2,185261,505667,0,0,1900,0,2009, , ,5.1,3.44,6,6.5,1,1002810028,0,8,985571,199345,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,193.1721054,1808.440407,320406,16,0,10948,10950,9,2025,35.10200119,35.10200119,0,35.10200119,0,315.9180107 +10950,MN,805,3,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,345 7 AVENUE,M1-6, , , , , , , , , ,N,O4,5,0,P,"345 7TH AVENUE, LLC",7714,190325,190325,0,183366,6959,0,0,0,0,2,1,25,0,68,101.42,75,101,75, ,3,Y,5,2,2250000,14195250,0,0,1928,0,0, , ,24.67,0,10,10,1,1008050003,0,95,986352,211812,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,355.2421761,7638.062906,11945300,6,0,10949,10951,34,7650,34.63499832,36.04555511,1.410556793,34.78168196,0.284905185,1182.577187 +10951,MN,745,10,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,349 WEST 21 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,349 WEST 21ST STREET,2074,4312,0,4312,0,0,0,0,0,0,2,1,3.5,4,4,21,98.75,21,52,E,3,N,5,5,218639,366702,0,0,1910,0,0,Chelsea Historic District, ,2.08,3,0,3,1,1007450010,0,89,983851,210739,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,251.864328,2351.518805,148063,7,0,10950,10952,10,2250,15.97222233,18.30333328,2.331110954,16.61433334,0.915951997,166.1433334 +10952,MN,845,2,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1B,69 EAST 17 STREET,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,100000,3375,3375,0,0,0,0,0,0,3375,2,4,1,0,2,200,620,27,99, ,1,Y,1,2,22500000,27154350,22500000,27154350,1800,2009,0, , ,0.03,0,0,0,1,1008450002,0,52,986917,207357,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,1589.317811,163456.9461,4654350,7,0,10951,10953,724,162900,42.4655571,50.17555618,7.709999084,46.82286188,2.038830435,33899.752 +10953,MN,488,8,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,68 THOMPSON STREET,R7-2,M1-5A, , , , , , , , ,Y,C7,4,0, ,68-74 THOMPSON REALTY,4417,16749,1200,15549,0,1200,0,0,0,0,2,1,6,39,41,50.08,88.92,24,74, ,3,Y,5,2,540000,2555100,0,0,1901,2013,0,Sullivan-Thompson Historic District, ,3.79,3.44,0,6.5,1,1004880008,0,47,983448,203127,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,283.8409819,4613.598016,2015100,0,1,10952,10954,20,4500,9.686666489,10.81999969,1.133333206,9.743333149,0.247004246,194.866663 +10954,MN,570,40,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,11 EAST 12 STREET,C6-1, , , , , , , , , ,N,S9,4,0, ,AUGUSTO 11 EAST 12TH,3167,7477,3168,4309,0,3168,0,0,0,0,2,1,4,4,6,25,126.75,25,126.75,E,3,N,5,5,171026,548282,0,0,1900,1989,0, , ,2.36,3.44,6,6.5,1,1005700040,0,61,986066,206867,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,313.6971184,3375.898854,377256,8,0,10953,10955,15,3375,33.2820015,34.43977737,1.157775879,33.35918655,0.288800045,500.3877983 +10955,MN,453,7,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,186 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,O & T ASSOCS. LLC,2067,6284,1571,4713,0,1571,0,0,0,0,2,1,4,8,9,20.67,100,21,79, ,3,N,5,2,115396,291397,0,0,1900,1986,0, , ,3.04,4,0,4,1,1004530007,0,40,988201,205488,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,251.6011393,2217.463568,176001,12,0,10954,10956,11,2475,24.84000015,29.00822258,4.168222427,26.70556537,0.894619854,293.761219 +10956,MN,281,64,103,8,1000,2,1,10038,E009,5,14,7800,1,3,1A,1 DIVISION STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,TSUNG TSIN ASSOCIATIO,2555,11347,2255,9092,0,2255,0,0,0,0,2,1,5,9,13,38.67,71.5,39,71,E,2,Y,3,1,286650,909000,0,0,1900,1988,0, , ,4.44,3.44,6,6.5,1,1002810064,0,8,985003,199359,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,223.8375005,2796.784323,622350,16,0,10955,10957,13,2925,36.34000015,36.99888992,0.658889771,36.46264971,0.230087076,474.0144463 +10957,MN,386,63,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,215 EAST 3 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,JS CARRIAGE REALTY LL,2212,9660,1610,8050,0,1610,0,0,0,0,2,2,6,8,9,23,96.17,23,70, ,0,N,5,5,2229,89222,0,0,1900,2007,2007, , ,4.37,4,0,4,1,1003860063,0,2601,989171,202542,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,248.0355522,2443.591348,86993,1,0,10956,10958,10,2250,14.43666649,19.45888901,5.022222519,15.40955544,1.947056849,154.0955544 +10958,MN,846,60,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,867 BROADWAY,M1-5M,C6-4, , , , ,US, , , ,Y,L8,6,0, ,867B LLC,10800,52810,52810,0,0,10560,0,42250,0,0,2,1,5,0,3,69.5,201,68,183, ,3,Y,3,2,3402000,5944950,0,0,1906,1979,0,Ladies' Mile Historic District, ,4.89,0,5,6.5,1,1008460060,0,52,986874,208053,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,555.4336526,11183.60143,2542950,7,0,10957,10959,51,11475,39.36555481,43.47000122,4.104446411,39.74145695,1.143210312,2026.814304 +10959,MN,863,24,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,175 MADISON AVENUE,C5-2, , , , , , , , , ,N,C7,4,0, ,171 MADISON DE LLC,2480,10041,4641,5400,2350,0,0,2291,0,0,2,1,5,8,9,24.67,100,25,94,E,3,N,5,2,331190,1591920,0,0,1914,1985,2009, , ,4.05,10,10,10,1,1008630024,0,74,988968,211524,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,250.7870721,2409.342768,1260730,10,0,10958,10960,11,2475,49.2733345,49.51499939,0.241664886,49.49302985,0.06947377,544.4233284 +10960,MN,990,1,106,44,5004,2,4,10009,L011,13,14,6000,1,6,1A,276 AVENUE C,M3-2, , , , , , , , , ,N,U2,7,0,P,POWER AUTHORITY OF TH,0,0,0,0,0,0,0,0,0,0,7,18,0,0,0,244,906,0,0, ,0,Y,3,5,41886000,41886000,0,0,0,0,0, , ,0,0,2,0,1,1009900001,0,44,991791,204873,12c, ,102 032,10310, ,0, ,1,1,1,17V1.1,0,3292.245672,370537.0207,0,5,1,10959,10961,1645,370125,6.340000153,10.60222244,4.26222229,8.116501061,0.928855127,13351.64425 +10961,MN,790,18,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,131 WEST 14 STREET,C6-2A, , , , , , , , , ,N,K9,5,0, ,131 WEST 14TH STREET,2581,11550,4782,6768,0,4782,0,0,0,0,2,1,5,3,5,25,103.25,25,101,E,3,N,5,2,382500,1271250,0,0,1920,1983,0, , ,4.48,6.02,6,6.5,1,1007900018,0,81,984769,208229,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,261.7099056,2654.448074,888750,7,0,10960,10962,11,2475,27.73777771,28.43000031,0.692222595,27.80070704,0.199000004,305.8077774 +10962,MN,520,1,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,200 VARICK STREET,M1-6,R6, , , , ,HSQ, , , ,Y,O6,5,0,P,200 VARICK STREET DE,35532,436629,436629,0,400629,36000,0,0,0,0,2,1,12,0,41,200.47,265,200,265, ,3,Y,3,2,8010000,52850250,0,0,1926,2008,2008, , ,12.29,0,10,10,1,1005200001,0,37,982942,204623,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,938.7842458,36037.7627,44840200,9,0,10961,10963,160,36000,15.38333321,19.96477699,4.581443787,16.73799207,0.360733703,2678.078731 +10963,MN,444,16,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,54 EAST 3 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,50-58 EAST THIRD FEE,4017,16038,0,16038,0,0,0,0,0,0,2,1,6,24,24,33.75,101.75,34,89, ,3,Y,5,2,151650,1940850,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,3.99,4,0,4,1,1004440016,0,3602,987199,203456,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,286.1694498,3830.497868,1789200,1,0,10962,10964,15,3375,33.39555359,35.95000076,2.554447174,33.56721319,0.636847087,503.5081978 +10964,MN,470,42,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,126 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0, ,"126 ELIZABETH STREET,",2520,11365,0,11364,0,0,0,0,0,0,2,1,6,24,24,25.75,99.33,26,88, ,2,N,5,2,126450,775800,0,0,1900,2014,0, , ,4.51,6.02,6,6.5,1,1004700042,0,41,985589,201379,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,255.5399638,2668.09254,649350,0,0,10963,10965,12,2700,31.67711258,34.66344452,2.98633194,31.92597357,0.825378545,383.1116829 +10965,MN,594,7506,102,37,1016,2,3,10013,L008,1,15,6800,1,2, ,304 SPRING STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,4500,24791,2589,22202,0,2589,0,0,0,0,2,1,11,13,15,60,75,60,60, ,0,N,0,5,283949,4128750,0,761198,2005,0,0, , ,5.51,6.02,6,6.5,1,1005947506,1580,37,981982,203671,12a, ,11N 063,10208, ,1005940074,12/20/2006,1, , ,17V1.1,7,278.3002773,4772.811952,3844800,0,1,10964,10966,21,4725,9.168000221,12.28222275,3.114222527,9.823788597,1.169301363,206.2995605 +10966,MN,521,65,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,292 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C2,2,0, ,292 ELIZABETH LLC,2108,6678,0,6678,0,0,0,0,0,0,2,1,4,6,6,25.58,82.42,26,60, ,3,N,5,5,37657,140747,0,0,1900,1988,0,Noho East Historic District, ,3.17,6.02,6,6.5,1,1005210065,0,5502,986166,203320,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,226.1818553,2302.023072,103090,9,0,10965,10967,10,2250,43.41222,43.41222,0,43.41222,0,434.1222 +10967,MN,444,40,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,37 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,R.M.H. ESTATES,1450,5550,890,4660,0,890,0,0,0,0,2,1,5,8,9,20,72.5,20,55, ,3,N,5,2,31057,108408,0,0,1910,0,0, , ,3.83,4,0,4,1,1004440040,0,3602,987546,203135,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,193.666141,1618.60998,77351,1,0,10966,10968,7,1575,30.95777702,32.04111099,1.083333969,31.24174554,0.45153193,218.6922188 +10968,MN,675,36,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,309 11 AVENUE,M2-3, , , , , , , , , ,N,G4,7,0,P,WEST SIDE 11TH & 29TH,9875,1070,1070,0,0,445,625,0,0,0,2,2,1,0,1,98.75,100,33,32, ,0,N,3,5,589500,935100,0,0,1975,0,0, , ,0.11,0,2,0,1,1006750036,0,99,983065,213687,8b, ,105S013,10301, ,0, ,1, , ,17V1.1,0,405.6018828,10274.18327,345600,6,1,10967,10969,46,10350,10.87300015,17.95666695,7.083666801,14.6883019,1.839623885,675.6618872 +10969,MN,506,50,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,21 VANDAM STREET,R6, , , , , , , , , ,N,C0,2,0, ,"YATES, JAMES A",2427,2640,0,1980,0,0,0,0,0,0,2,1,2.5,3,3,24.25,100.08,24,50, ,3,N,5,3,38150,197230,0,0,1900,1973,0,Charlton-King-Vandam Historic District, ,1.09,2.43,0,4.8,1,1005060050,0,37,982967,203982,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,251.6591891,2406.792859,159080,0,0,10968,10970,11,2475,20.62700081,25.55999947,4.932998657,22.18403088,2.13897064,244.0243397 +10970,MN,489,37,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,57 THOMPSON STREET,M1-5B, , , , , , , , , ,N,C6,2,0, ,57 THOMPSON ASSOC,3750,15138,0,15138,0,0,0,0,0,0,2,1,6,40,40,37.5,100,38,85, ,2,N,5,2,292500,2025450,4720,4720,1920,1985,0,Sullivan-Thompson Historic District, ,4.04,0,5,6.5,1,1004890037,0,47,983259,203092,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,280.1075073,3960.156419,1732950,0,1,10969,10971,18,4050,9.686666489,9.686666489,0,9.686666489,0,174.3599968 +10971,MN,556,68,103,42,1002,1,2,10003,L003,9,14,6200,1,3,4B,119 EAST 11 STREET,C6-2A, , , , , , , , , ,N,P1,5,0, ,UNITY GALLEGA EAST 11,9000,26574,26574,0,0,0,0,0,0,26574,2,1,3.5,0,1,90,100,90,98, ,3,N,5,2,688500,1653300,0,0,1920,0,0, ,WEBSTER HALL AND ANNEX,2.95,6.02,6,6.5,1,1005560068,0,42,987272,205881,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,380.217637,9007.855104,964800,12,0,10970,10972,40,9000,37.67444229,39.99666595,2.322223663,37.92385082,0.619615887,1516.954033 +10972,MN,769,48,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,216 WEST 20 STREET,R8B, , , , , , , , , ,N,E9,6,0, ,"216 W. 20TH STREET,",2125,6369,6369,0,2123,0,0,4246,0,0,2,1,3,0,1,25,84.58,25,84, ,3,Y,5,0,180000,464850,0,0,1920,1987,0, , ,3,4,0,4,1,1007690048,0,87,984789,209770,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,228.608378,2229.629368,284850,7,0,10971,10973,10,2250,21.88888931,26.3488884,4.459999084,22.72053356,1.668754805,227.2053356 +10973,MN,720,34,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,429 WEST 22 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,ANDERSON HOUSE OWNERS,3283,10500,0,10500,0,0,0,0,0,0,2,2,4,8,8,33.33,98.75,17,52, ,3,N,5,1,164755,768950,48044,48044,1850,1983,0,Chelsea Historic District Extension, ,3.2,3,0,3,1,1007200034,0,93,983539,211210,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,255.2286335,3144.872664,604195,2,1,10972,10974,14,3150,9.369999886,11.7211113,2.351111412,9.791190488,0.7997967,137.0766668 +10974,MN,824,46,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,12 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0, ,"ANDEAN, L L C",3325,16500,16500,0,13200,3300,0,0,0,0,2,1,5,0,4,33.67,98.75,34,98,E,3,N,5,2,706500,2593350,0,0,1920,1987,0,Ladies' Mile Historic District, ,4.96,10,10,10,1,1008240046,0,58,986943,209437,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,264.7578159,3256.615253,1886850,2,0,10973,10975,15,3375,34.46500015,40.04222107,5.577220917,34.95981496,1.43380141,524.3972244 +10975,MN,625,58,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,38 8 AVENUE,C1-6, , , , , , , , , ,N,S5,4,0, ,38 EIGHTH AV RLTY CP,997,3988,500,3488,0,500,0,0,0,0,2,1,4,6,7,20,58.33,20,58, ,3,Y,4,0,149991,338839,0,0,1905,1987,0,Greenwich Village Historic District, ,4,3.44,2,6.5,1,1006250058,0,77,983133,208140,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,150.8379558,1102.899195,188848,8,0,10974,10976,6,1350,20.9066658,20.9066658,0,20.9066658,0,125.4399948 +10976,MN,16,220,101,317.03,2002,2,1,10282,L010,1,15,8900,1,1,1A,450 NORTH END AVENUE,BPC, , , , , ,BPC, , , ,N,Z9, ,0,O,DEPT OF SMALL BUSINES,28206,105177,105177,0,0,0,0,0,0,105177,2,1,25,0,1,179.98,196,135.25,179.11, ,0,Y,0,5,4225500,19003500,4225500,19003500,1997,0,0, , ,3.73,0,0,0,1,1000160220,0,31703,980457,200553,12a, ,101S093,10101, ,1000160220,3/1/1999,1,1,1,17V1.1,0,713.8633271,23111.24077,14778000,14,1,10975,10977,102,22950,9.641111374,11.95011139,2.309000015,10.64192735,0.205532023,1085.476589 +10977,MN,507,2,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,228 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0,P,228 OPERATIONG CORP,1902,6497,1025,5472,0,1025,0,0,0,0,2,2,4,8,9,20,95.08,20,39, ,0,N,5,5,18079,166810,0,0,1910,1985,0, , ,3.42,6.02,6,6.5,1,1005070002,0,43,985970,202662,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,241.057893,2250.319457,148731,9,0,10976,10978,11,2475,44.71333313,47.25999832,2.546665192,44.94484815,0.732114768,494.3933296 +10978,MN,939,37,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,593 1 AVENUE,C1-9A, , , , , , , , , ,N,S9,4,0, ,FIRST 34 REALTY LLC,2125,5890,1500,4390,0,1500,0,0,0,0,2,2,4,6,9,21.25,100,21,62, ,0,N,3,5,163250,526780,0,0,1900,1986,2011, , ,2.77,10,2,10,1,1009390037,0,70,991473,210256,8d, ,104 023,10309, ,0, ,1,1,1,17V1.1,0,246.0489182,2310.605925,363530,10,1,10977,10979,11,2475,8.881111145,10.03999996,1.158888817,9.811212193,0.381786917,107.9233341 +10979,MN,74,7501,101,15.02,2004,2,1,10038,E006,1,15,7700, ,1, ,199 WATER STREET,C5-3, , , , , ,LM, , , ,N,RC,5,0,P, ,41656,744146,744146,0,697701,46445,0,0,0,0,2,1,35,0,36,276.5,159.87,0,0, ,0,Y,0,5,23715000,98093698,0,0,1993,0,0, , ,17.86,10,15,15,1,1000747501,832,1502,983038,196805,12b, ,101S008,10102, ,1000740040,4/18/2006,1,1,1,17V1.1,7,828.4292948,39816.15304,74378704,4,1,10978,10980,176,39600,5.993332863,7.587778091,1.594445229,6.145899247,0.38250293,1081.678267 +10980,MN,196,17,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,262 CANAL STREET,M1-5, , , , , , , , , ,N,K4,4,0,P,"FISHMAN, ALAN H TR",2196,10000,10000,0,0,4000,0,0,0,6000,2,1,5,0,1,24.5,91,25,91,E,3,Y,5,2,396450,1134900,0,0,1915,1979,0, , ,4.55,0,5,6.5,1,1001960017,0,31,983931,201051,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,234.9796475,2316.95205,738450,14,0,10979,10981,8,1800,13.7086668,14.39799976,0.689332962,14.31183314,0.227975449,114.4946651 +10981,MN,149,1,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,75 CHAMBERS STREET,C6-4A, , , , , , , , , ,N,C3,2,0, ,MADISON CO,1921,13980,6990,6990,0,0,0,6990,0,0,2,1,6,4,4,25.33,75,25,70, ,3,Y,5,5,57490,444408,0,0,1915,0,0,Tribeca South Historic District, ,7.28,10,10,10,1,1001490001,0,21,982412,199607,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,211.0503824,1920.021315,386918,14,0,10980,10982,8,1800,29.82299995,29.82299995,0,29.82299995,0,238.5839996 +10982,MN,797,7502,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,126 WEST 22 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,5555,54079,4566,49513,0,4566,0,0,0,0,2,1,13,22,23,56.25,98.75,0,0, ,0,N,0,5,549449,7664398,9440,9440,1911,0,0, , ,9.74,7.52,6,7.5,1,1007977502,1122,87,985741,209808,8d, ,103 030,10305, ,1007970058,8/17/2000,1, , ,17V1.1,7,312.8871302,5688.34809,7114950,7,0,10981,10983,26,5850,28.16444397,29.29811096,1.133666992,28.20804655,0.218012883,733.4092102 +10983,MN,769,53,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,226 WEST 20 STREET,R8B, , , , , , , , , ,N,D9,3,0,X,226 WEST 20TH STREETH,4429,27381,0,27381,0,0,0,0,0,0,2,1,8,52,52,50,88.58,50,84, ,0,Y,5,5,769500,2782350,769500,2782350,1920,1999,1999, , ,6.18,4,0,4,1,1007690053,0,87,984667,209835,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,283.0035143,4519.89725,2012850,7,0,10982,10984,21,4725,21.88888931,25.63444519,3.745555878,22.5378734,1.341169947,473.2953415 +10984,MN,743,76,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,354 WEST 20 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,354 WEST 20TH STREET,1533,5120,0,5120,0,0,0,0,0,0,2,1,4,11,11,16.67,92,17,59, ,3,N,5,2,98100,520650,0,0,1836,2015,0,Chelsea Historic District, ,3.34,3,0,3,1,1007430076,0,89,983636,210403,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,226.2969376,1662.900795,422550,7,0,10983,10985,7,1575,15.57888889,15.57888889,0,15.57888889,0,109.0522223 +10985,MN,625,27,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,54 JANE STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,54 JANE STREET LLC,1680,3780,0,3780,0,0,0,0,0,0,2,1,3,8,8,21,80,21,50,E,3,N,5,1,114358,342732,0,0,1910,1987,0,Greenwich Village Historic District, ,2.25,3.44,2,6.5,1,1006250027,0,77,982809,208136,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,204.4097419,1653.738853,228374,8,0,10984,10986,5,1125,17.76333427,17.76333427,0,17.76333427,0,88.81667137 +10986,MN,406,5,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,202 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S9,4,0,P,"SWEETERS, CHRISTINE",2472,5399,1000,4399,0,0,0,0,0,1000,2,1,4,6,8,25.75,96,26,76, ,3,N,5,2,23834,142309,0,0,1910,1986,0, , ,2.18,4,0,4,1,1004060005,0,34,989573,204988,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,243.979146,2488.714034,118475,12,0,10985,10987,11,2475,13.0880003,14.40644455,1.318444252,13.20785887,0.379026073,145.2864475 +10987,MN,632,149,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,547 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,547 HUDSON LLC,1576,4328,1082,3246,0,1082,0,0,0,0,2,1,4,3,4,19,90.42,19,58, ,2,Y,5,5,221866,561701,0,0,1900,1980,0,Greenwich Village Historic District, ,2.75,3.44,2,6.5,1,1006320149,0,75,982472,207030,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,215.4846534,1592.854276,339835,9,0,10986,10988,8,1800,19.34666634,20.23611069,0.889444351,19.45784688,0.29415607,155.662775 +10988,MN,574,61,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,33 WEST 10 STREET,R6, , , , , , , , , ,N,A7,1,0, ,ROSENBLUM ROBERT,2370,3565,0,3565,0,0,0,0,0,0,2,1,3,1,1,25,94.75,25,54, ,3,N,5,2,56860,285741,1550,1550,1900,0,0,Greenwich Village Historic District, ,1.5,2.43,0,4.8,1,1005740061,0,63,985073,206811,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.0472583,2309.21223,228881,8,0,10987,10989,10,2250,20.66300011,26.33555603,5.672555923,22.55902214,2.351494577,225.5902214 +10989,MN,830,13,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,43 WEST 28 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,MIDTOWN 28 REALTY INC,2116,6888,4494,2394,0,2100,0,2394,0,0,2,1,5,2,5,21.33,98.75,21,95,E,3,N,5,1,315000,934200,0,0,1915,1988,0, , ,3.26,0,10,10,1,1008300013,0,76,987132,211028,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,239.0992362,2011.958606,619200,2,0,10988,10990,9,2025,44.45100021,45.22911072,0.778110504,44.69745678,0.288672646,402.2771111 +10990,MN,494,33,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,213 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C6,2,0,P,213-215 MOTT ST H.D.F,2479,7779,0,7779,0,0,0,0,0,0,2,1,6,12,12,25,99.17,25,57, ,3,N,5,1,148500,310950,148500,186462,1900,1988,0, , ,3.14,6.02,6,6.5,1,1004940033,0,43,985477,202336,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,253.0725111,2586.313427,162450,0,0,10989,10991,12,2700,38.86500168,41.64944458,2.784442902,39.09703859,0.769579363,469.164463 +10991,MN,800,15,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,145 WEST 24 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,145 WEST 24TH STREET,2469,9351,9351,0,9351,0,0,0,0,0,2,1,4,0,4,25,98.75,25,99, ,3,N,5,2,339750,682200,0,0,1915,1989,0, , ,3.79,0,10,10,1,1008000015,0,91,985901,210531,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,256.8525135,2589.369498,342450,2,0,10990,10992,11,2475,33.27444458,33.84199905,0.567554474,33.32604044,0.163160439,366.5864449 +10992,MN,465,15,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,116 EAST 10 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,"LEVY, DANIEL",918,3780,0,3150,0,0,0,0,0,0,2,1,5,3,3,18,50.5,18,35, ,3,Y,5,1,41099,96768,1550,1550,1860,0,0,St. Mark's Historic District, ,4.12,4,0,4,1,1004650015,0,40,987493,205319,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,139.6591025,909.9965126,55669,12,0,10991,10993,4,900,33.48777771,33.48777771,0,33.48777771,0,133.9511108 +10993,MN,797,37,104,87,1000,2,3,10010,L012,13,15,5600,1,4,1A,675 AVENUE OF THE AMER,C6-2A,C6-3A, , , , , , , , ,Y,O5,5,0,P,675 OWNERSHIP LLC,39500,237000,237000,0,200000,37000,0,0,0,0,2,1,6,0,8,197.5,200,194,197, ,3,N,3,2,18900000,44648100,0,0,1901,2014,1998,Ladies' Mile Historic District, ,6,6.02,6,6.5,1,1007970037,0,87,985916,209652,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,810.5777693,41063.73517,25748100,7,0,10992,10994,183,41175,28.16444397,33.58333206,5.418888092,28.39547375,1.030168834,5196.371696 +10994,MN,539,11,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,229 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,229 SULLIVAN STREETRE,2500,9780,1850,7930,0,1850,0,0,0,0,2,1,5,18,20,25,100,25,86, ,2,N,5,2,273600,1286550,0,0,1900,1988,0,South Village Historic District, ,3.91,3.44,0,6.5,1,1005390011,0,65,984418,205107,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,254.2869128,2591.907473,1012950,9,0,10993,10995,13,2925,25.23555565,26.91444397,1.678888321,25.49230781,0.602149964,331.4000015 +10995,MN,764,37,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,201 WEST 14 STREET,C6-3A, , , , , , , , , ,N,C7,4,0, ,"MARDAN REALTY CO., LL",2400,11463,2391,9072,0,2391,0,0,0,0,2,1,5,16,19,25,96,24,94, ,3,N,3,2,333900,2529450,0,0,1920,1977,0, , ,4.78,7.52,6,7.5,1,1007640037,0,81,984332,208462,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,265.7999172,2890.698109,2195550,7,0,10994,10996,13,2925,24.42199898,29.23222351,4.810224533,24.82721285,1.277408425,322.753767 +10996,MN,486,7502,102,49,1009,2,1,10013,E055,1,15,6800,1,2, ,470 BROOME STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,5000,25923,16884,9039,0,16884,0,0,0,0,2,1,5,4,7,50,100,50,100, ,3,N,3,5,1125001,9691113,0,0,1900,2003,2006,SoHo-Cast Iron Historic District, ,5.18,0,5,6.5,1,1004867502,1967,49,983862,202619,12a, ,101N070,10206, ,1004860032,12/22/2008,1, , ,17V1.1,7,318.1815249,5691.167984,8566110,0,0,10995,10997,25,5625,11.1744442,11.1744442,0,11.1744442,0,279.361105 +10997,MN,607,56,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,121 WEST 11 STREET,R6, , , , , , , , , ,N,S1,4,0, ,"FERGUSON, MATTHEW J.",2168,4704,1176,3528,0,1176,0,0,0,0,2,1,3,1,2,21,103.25,21,56, ,3,N,5,1,89002,182476,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.17,2.43,0,4.8,1,1006070056,0,71,984503,207417,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,248.8597219,2144.747678,93474,8,0,10996,10998,9,2025,21.80333328,23.54111099,1.73777771,22.27271631,0.632693868,200.4544468 +10998,MN,883,20,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,100 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,LEXINGTON 100 PROPERT,1592,7600,1912,5688,0,1912,0,0,0,0,2,1,5,17,19,19.75,80,20,75, ,3,N,3,2,202500,1081350,0,0,1930,1964,0, , ,4.77,6.02,6,6.5,1,1008830020,0,68,988936,209686,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,210.9997116,1805.994311,878850,11,0,10997,10999,8,1800,33.29444504,34.45777893,1.163333893,33.43986177,0.384736522,267.5188942 +10999,MN,743,77,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,356 WEST 20 STREET,R7B, , , , , , , , , ,N,C5,2,0,P,"DINOUR, DAVID",1533,4634,0,4634,0,0,0,0,0,0,2,1,4,10,10,16.67,92,17,92, ,3,N,5,2,37164,173504,0,0,1900,0,0,Chelsea Historic District, ,3.02,3,0,3,1,1007430077,0,89,983621,210412,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,226.3243652,1659.972305,136340,7,0,10998,11000,8,1800,15.57888889,17.11888886,1.539999962,15.77138889,0.509307115,126.1711111 +11000,MN,146,11,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,112 READE STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,"WEBWAY ASSOCIATES, LL",1536,8080,4480,3600,0,4480,0,0,0,0,2,1,5,3,5,25.33,61.08,25,61, ,3,Y,3,2,138150,1641600,0,0,1920,2009,0,Tribeca South Historic District, ,5.26,6.02,6,6.5,1,1001460011,0,33,981880,200162,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,187.7599935,1828.670827,1503450,14,0,10999,11001,8,1800,16.87777901,16.87777901,0,16.87777901,0,135.0222321 +11001,MN,344,17,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,129 RIDGE STREET,R7A, , , , , , , , , ,N,D4,3,0,P,129-135 RIDGE ST H D,5000,27299,1875,25424,0,1875,0,0,0,0,2,1,6,27,28,50,100,50,100,E,3,N,3,2,255150,1390500,255150,1051394,1925,1989,0, , ,5.46,4,0,4,1,1003440017,0,2201,988943,201440,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,311.6474826,5341.142884,1135350,1,0,11000,11002,25,5625,19.13444519,20.53111076,1.396665573,19.27595619,0.396742036,481.8989048 +11002,MN,144,26,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,142 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,D5,3,0,P,82 THOMAS ST REALTY,4150,20372,4000,16372,0,4000,0,0,0,0,2,1,5,8,9,50,66.67,50,66.67, ,0,Y,3,2,97725,1531998,0,0,1915,2009,0,Tribeca West Historic District, ,4.91,6.02,6,6.5,1,1001440026,0,33,981941,200554,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,343.015097,4459.789711,1434270,14,0,11001,11003,20,4500,11.09777832,12.93666649,1.838888168,11.19788938,0.400483637,223.9577875 +11003,MN,592,35,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,177 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,K4,4,0, ,WEST FOURTH STREET PA,774,2061,1061,1000,0,1061,0,0,0,0,2,1,2,2,3,18,46.83,18,39,E,3,Y,5,2,120150,484200,0,0,1910,0,0,Greenwich Village Historic District, ,2.66,2.43,0,4.8,1,1005920035,0,71,983814,206120,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,128.8560739,855.5098436,364050,9,0,11002,11004,5,1125,17.50333405,17.69555473,0.192220688,17.54177818,0.076888275,87.70889091 +11004,MN,588,51,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,106 CHRISTOPHER STREET,R6, , , , , , , , , ,N,D7,4,0, ,110 CHRISTOPHER STREE,4692,20490,1745,18745,998,747,0,0,0,0,2,1,5,30,32,55,92.83,53,78, ,3,Y,5,2,389700,1904400,0,0,1929,2013,0,Greenwich Village Historic District, ,4.37,2.43,0,4.8,1,1005880051,0,73,982855,206359,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,291.6339905,4887.031083,1514700,9,0,11003,11005,23,5175,20.90555573,23.16666603,2.261110306,21.00386487,0.461110757,483.088892 +11005,MN,373,18,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,330 EAST 4 STREET,R8B, , , , , , , , , ,N,N2,8,0,P,330 EAST 4TH ST ETAL,2204,9465,9465,0,0,0,0,0,0,9465,2,1,5,0,1,22.92,96.17,22.92,82, ,0,N,5,5,53550,1577700,53550,1577700,1900,1994,0, , ,4.29,4,0,4,1,1003730018,0,2601,990027,202180,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,244.407127,2292.909584,1524150,1,0,11004,11006,10,2250,12.37111092,12.37111092,0,12.37111092,0,123.7111092 +11006,MN,518,2,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,40 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,CASTEGA REALTY ASSOCI,3000,11759,0,11759,0,0,0,0,0,0,2,1,6,23,23,40,75,40,60, ,2,N,5,2,253800,1390950,0,224485,1915,1987,2004,Sullivan-Thompson Historic District, ,3.92,3.44,0,6.5,1,1005180002,0,49,983515,204183,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,238.9408682,3138.626154,1137150,9,0,11005,11007,14,3150,20.52111053,22.67000008,2.148889542,20.67460264,0.553423673,289.444437 +11007,MN,496,7,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,91 CROSBY STREET,M1-5B, , , , , , , , , ,N,D2,3,0, ,"GO 91 CROSBY OWNER, L",3080,18400,3175,15225,0,3175,0,0,0,0,2,1,6,10,13,25,126.75,25,127, ,3,Y,4,0,913500,3608550,0,0,1900,2016,0,SoHo-Cast Iron Historic District Extensi, ,5.97,0,5,6.5,1,1004960007,0,43,985046,202770,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,309.666693,3202.251561,2695050,0,0,11006,11008,13,2925,36.64899826,39.90100098,3.252002716,37.08416073,0.974741207,482.0940895 +11008,MN,573,25,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,34 WEST 10 STREET,R6, , , , , , , , , ,N,B2,1,0, ,GO YARD LLC,1691,6398,0,6398,0,0,0,0,0,0,2,1,4.5,2,2,18.33,92.25,18.33,68, ,3,N,5,2,107334,222103,0,0,1900,2006,0,Greenwich Village Historic District, ,3.78,2.43,0,4.8,1,1005730025,0,63,985019,206666,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,222.8012502,1674.005216,114769,8,0,11007,11009,7,1575,18.98099899,24.47688866,5.495889664,19.81214224,1.905682427,138.6849957 +11009,MN,452,13,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,310 EAST 11 STREET,R8B, , , , , , , , , ,N,G1,10,0,P,S & S 310 LLC,4581,21700,21700,0,0,0,21700,0,0,0,2,1,5,0,1,48.33,94.79,48,89, ,3,N,5,2,371250,2561850,0,0,1900,0,0, , ,4.74,4,0,4,1,1004520013,0,40,988219,205181,12c, ,102 027,10205, ,0, ,1, , 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,17V1.1,0,265.7893545,2778.432054,857250,0,0,11010,11012,12,2700,20.99799919,28.14333344,7.145334244,22.05125856,2.379165418,264.6151028 +11012,MN,528,56,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,226 VARICK STREET,C2-6, , , , , , , , , ,N,K2,5,0, ,"RUSSO, ANTHONY",420,975,975,0,325,325,0,325,0,0,2,1,2,0,1,20,23.33,20,23.33, ,0,Y,5,2,67500,113850,0,0,1900,0,0, , ,2.32,3.44,2,6.5,1,1005280056,0,67,982861,204925,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,81.44602266,402.3880674,46350,9,0,11011,11013,1,225,15.38333321,15.38333321,0,15.38333321,0,15.38333321 +11013,MN,720,40,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,415 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,415/22 ASSOCIATES LLC,1481,3500,0,3500,0,0,0,0,0,0,2,1,4,10,10,15,98.75,15,54, ,3,N,5,2,41316,546264,0,0,1900,0,0,Chelsea Historic District Extension, ,2.36,3,0,3,1,1007200040,0,93,983636,211156,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,218.5628021,1417.067082,504948,2,1,11012,11014,5,1125,9.369999886,10,0.630000114,9.495999908,0.252000046,47.47999954 +11014,MN,924,44,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,342 EAST 19 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,DEBORAH RIVERA,1840,4080,0,4080,0,0,0,0,0,0,2,1,4,8,8,20,92,20,52, ,3,N,5,1,62559,267330,0,0,1910,0,0, , ,2.22,3,0,3,1,1009240044,0,48,989437,206912,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.199075,1931.564976,204771,5,0,11013,11015,8,1800,14.83555603,17.46666718,2.631111145,15.27750039,0.878795041,122.2200031 +11015,MN,615,49,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,27 BANK STREET,R6, , , , , , , , , ,N,C2,2,0, ,OLDFIELD JENNIGER LIS,1990,4149,0,4149,0,0,0,0,0,0,2,1,3,5,5,21.83,98.67,22,56,E,3,Y,5,5,198350,333624,0,0,1920,0,0,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1006150049,0,77,983434,207841,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,249.3754392,2246.913648,135274,8,0,11014,11016,11,2475,23.05999947,29.19777679,6.137777328,24.86080759,2.421179748,273.4688835 +11016,MN,445,7,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,66 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,D7,4,0, ,66 SECOND AVENUE LLC,1725,8264,1600,6664,0,1600,0,0,0,0,2,1,6,7,8,20.5,84.2,20.5,84.2, ,0,Y,4,5,317853,909792,0,0,1920,1998,1998,East Village/Lower East Side Historic Di, ,4.79,4,0,4,1,1004450007,0,38,987219,203732,12c, ,102 010,10205, ,1004450007,12/29/1998,1, , ,17V1.1,0,219.0447756,1867.343848,591939,1,0,11015,11017,8,1800,29.97444344,36.51666641,6.542222977,31.22244358,2.296368972,249.7795486 +11017,MN,492,7504,102,43,2000,2,1,10012,L020,5,15,6800,1,2, ,202 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,2500,10494,2970,7524,0,2970,0,0,0,0,2,1,8,7,8,25.17,99.83,24.73,98.72, ,0,N,5,5,98610,1825189,2360,2360,2005,0,0, , ,4.2,3.44,6,6.5,1,1004927504,1604,43,985921,202138,12c, ,11N 076,10206, ,1004920034,12/12/2006,1, , ,17V1.1,7,256.1750027,2573.70593,1726580,0,0,11016,11018,13,2925,39.76666641,42.09222031,2.325553894,39.94555517,0.619688846,519.2922173 +11018,MN,442,7501,103,36.02,2003,1,2,10003,L018,9,14,6500,3,3, ,45 EAST 1 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,1509,4908,447,4461,0,447,0,0,0,0,2,1,5,9,10,20.58,74.58,21,52, ,0,Y,0,5,1451,90036,144,2360,1900,0,0, , ,3.25,4,0,4,1,1004427501,1443,3602,987033,202941,12c, ,102 002,10205, ,1004420018,8/2/2005,1, , ,17V1.1,7,197.0268171,1618.80906,88585,1,0,11017,11019,7,1575,36.32099915,36.32099915,0,36.32099915,0,254.246994 +11019,MN,280,9,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,39 HENRY STREET,R7-2,C6-1G, , , , , , , , ,Y,C7,4,0,P,FORTUNE 39 INC,2675,10415,1600,8815,800,800,0,0,0,0,2,1,5,20,22,26.75,100,27,90, ,3,N,5,1,128250,612000,0,0,1900,0,0, , ,3.89,3.44,0,6.5,1,1002800009,0,8,985369,199084,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,253.6175882,2506.704058,483750,16,0,11018,11020,10,2250,27.8318882,27.8318882,0,27.8318882,0,278.318882 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,17V1.1,0,260.8357505,2640.460735,1042650,7,0,11046,11048,10,2250,22.05333328,25.48333359,3.430000305,22.39633331,1.029000092,223.9633331 +11048,MN,573,59,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,29 WEST 9 STREET,R6, , , , , , , , , ,N,A9,1,0, ,"ZACCARO, ANNE",1569,4216,0,4216,0,0,0,0,0,0,2,1,4,1,1,17,92.25,17,55.5, ,3,N,5,2,129843,377395,0,0,1900,1957,2007,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1005730059,0,63,985019,206559,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,220.3198161,1519.62431,247552,8,0,11047,11049,5,1125,18.98099899,20.0466671,1.065668106,19.19413261,0.426267242,95.97066307 +11049,MN,304,3,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,99 BOWERY,C6-1G, , , , , , , , , ,N,L8,6,0, ,99 BOWERY LLC,3100,11909,5959,5950,0,5959,0,0,0,0,2,1,4,2,4,25.08,124,25,114, ,3,N,5,2,225000,993150,0,0,1920,1987,0, , ,3.84,3.44,6,6.5,1,1003040003,0,16,985648,200640,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,311.503543,3275.616941,768150,0,0,11048,11050,15,3375,35.79199982,38.75288773,2.960887909,35.98939234,0.738575208,539.8408852 +11050,MN,807,1,105,101,1007,2,3,10001,L024,14,15,5200,1,5,1H,393 7 AVENUE,C6-6,C6-4.5, , , , ,MID, , , ,Y,O4,5,1, ,VORNADO ELEVEN PENN P,57675,1103075,1103075,0,1067075,36000,0,0,0,0,2,1,26,0,78,197.5,275,197,275, ,0,Y,3,2,30784500,166432050,0,0,1926,0,0, , ,19.13,10,15,15,1,1008070001,0,101,986696,212211,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,1008.303306,58037.57154,135648000,6,0,11049,11051,256,57600,37.12955475,39.39666748,2.267112732,37.23146059,0.347198184,9531.25391 +11051,MN,179,42,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3A,33 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,K1,5,0, ,33 LEONARD STREET REA,938,679,679,0,0,679,0,0,0,0,2,1,1,0,1,28.42,72.83,26,52, ,2,Y,3,0,69750,130050,0,0,1970,0,0,Tribeca West Historic District, ,0.72,6.02,6,6.5,1,1001790042,0,33,982243,201041,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,169.398241,994.54811,60300,14,1,11050,11052,5,1125,10.17444515,10.17444515,0,10.17444515,0,50.87222576 +11052,MN,228,4,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,363 CANAL STREET,M1-5B, , , , , , , , , ,N,S5,4,0, ,363 CANAL STREET COMP,1219,6778,1130,5648,0,1130,0,0,0,0,2,1,6,5,6,19,64.17,19,64,E,3,N,5,5,112084,312774,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,5.56,0,5,6.5,1,1002280004,0,47,983137,202034,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,167.3772543,1178.480203,200690,0,1,11051,11053,3,675,9.686666489,9.686666489,0,9.686666489,0,29.05999947 +11053,MN,507,16,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,258 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,K2,5,0, ,KGS ELIZABETH LLC,1947,3185,3185,0,0,3185,0,0,0,0,2,1,2,0,2,22.17,87.83,22.17,87.58, ,0,N,5,5,180000,1993950,0,0,1952,2003,0, , ,1.64,6.02,6,6.5,1,1005070016,0,43,986060,202968,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,223.7114475,2092.140986,1813950,9,0,11052,11054,8,1800,44.71333313,44.71333313,0,44.71333313,0,357.706665 +11054,MN,882,1,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,365 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,HB,5,0,P,EAST 26 STREET & PARK,3900,51420,0,0,0,0,0,0,0,0,2,1,13,0,3,49.37,79,49,75, ,3,N,3,2,2079000,10322100,0,0,2000,0,0, , ,13.18,10,10,10,1,1008820001,0,68,988515,209644,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,266.9001348,4233.122909,8243100,11,0,11053,11055,20,4500,33.85400009,36.89444351,3.04044342,34.16016674,0.812871531,683.2033348 +11055,MN,772,12,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,261 WEST 22 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,261 WEST 22ND ST TENA,5554,24462,0,24462,0,0,0,0,0,0,2,1,6,36,36,56.25,98.75,56,88, ,3,N,5,2,438300,2415600,21240,21240,1917,1981,0, , ,4.4,4,0,4,1,1007720012,0,91,984837,210486,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,308.5627196,5463.610869,1977300,2,0,11054,11056,23,5175,22.16600037,22.16600037,0,22.16600037,0,509.8180084 +11056,MN,528,32,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,46 DOWNING STREET,R6, , , , , , , , , ,N,C5,2,0,P,"46-48 DOWNING STREET,",2550,12000,0,12000,0,0,0,0,0,0,2,1,5,17,17,32.42,87,32.83,65, ,3,Y,5,0,144000,1418850,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.71,2.43,0,4.8,1,1005280032,0,67,983058,204857,12a, ,103 003,10206, ,1005280032,9/30/1991,1, , ,17V1.1,0,239.2740113,2775.435152,1274850,9,0,11055,11057,13,2925,15.38333321,15.38333321,0,15.38333321,0,199.9833317 +11057,MN,622,41,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,268 WEST 11 STREET,R6, , , , , , , , , ,N,D4,3,0, ,270 W 11 ST OWNERS CO,7123,29725,0,29725,0,0,0,0,0,0,2,1,6,48,48,74.92,95.08,75,80, ,3,Y,5,1,769500,3382200,11800,11800,1915,1990,0,Greenwich Village Historic District, ,4.17,2.43,0,4.8,1,1006220041,0,73,983080,207378,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,346.3295753,7377.776656,2612700,8,0,11056,11058,33,7425,24.5988884,27.2322216,2.633333206,24.81501637,0.685754334,818.8955402 +11058,MN,588,43,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,104 BEDFORD STREET,R6, , , , , , , , , ,N,D4,3,0, ,104 106 BEDFORD ST OW,3220,14328,0,14328,0,0,0,0,0,0,2,1,5,30,30,42.08,55.5,42,69, ,2,Y,5,1,254250,1544850,9440,9440,1890,0,0,Greenwich Village Historic District, ,4.45,2.43,0,4.8,1,1005880043,0,73,982739,206266,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,288.2376895,3455.260304,1290600,9,0,11057,11059,16,3600,20.90555573,20.90555573,0,20.90555573,0,334.4888916 +11059,MN,846,33,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1B,200 PARK AVENUE SOUTH,C6-4A,C6-4,M1-5M, , , ,US, , , ,Y,O6,5,0, ,EVERETT REALTY LLC,16697,237139,237139,0,223739,13400,0,0,0,0,2,1,16,0,81,142,127.58,142,125, ,0,Y,3,2,8100000,49315950,0,0,1925,1979,2011, ,THE EVERETT BUILDING,14.2,10,10,10,1,1008460033,0,52,987247,207760,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,556.766282,17696.75565,41216000,7,0,11058,11060,79,17775,41.51599884,41.51599884,0,41.51599884,0,3279.763908 +11060,MN,809,7501,105,101,1001,2,3,10001,L024,14,15,5200,1,5, ,131 WEST 33 STREET,C6-4.5, , , , , ,MID, , , ,N,RC,5,0, , ,12343,115607,115607,0,92445,22493,0,669,0,0,2,1,18,0,29,125,98.75,125,98, ,0,N,0,5,4103975,18490666,36927,166626,1960,0,0, , ,9.37,10,12,12,1,1008097501,2081,101,987110,212511,8d, ,105S024,10305, ,1008090018,12/1/2009,1, , ,17V1.1,7,448.5060584,12438.22937,14386700,6,0,11059,11061,56,12600,41.24700165,41.24700165,0,41.24700165,0,2309.832092 +11061,MN,610,60,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2B,1 CHRISTOPHER STREET,C1-6,R6, , , , , , , , ,Y,D6,4,0, ,"1 CHRISTOPHER REALTY,",8060,102354,7450,94904,0,7450,0,0,0,0,2,1,16,125,134,113,97,106,96, ,2,Y,3,2,5400000,15269400,0,0,1931,0,0,Greenwich Village Historic District, ,12.7,3.44,2,6.5,1,1006100060,0,71,984243,206763,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,397.7426638,9001.846738,9869400,8,0,11060,11062,40,9000,18.18777847,19.18777847,1,18.24625068,0.212076781,729.8500271 +11062,MN,594,36,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,45 RENWICK STREET,C6-2A, , , , , , , , , ,N,K1,5,0, ,ROIN REALTY HOLDINGS,1492,1494,1494,0,0,1494,0,0,0,0,2,1,1,0,1,19.92,75,19.92,75, ,3,N,5,0,80550,612900,0,0,1915,2007,0, , ,1,6.02,6,6.5,1,1005940036,0,37,981860,203638,12a, ,101N063,10208,E-116,0, ,1, ,1,17V1.1,0,197.4711112,1593.261996,532350,0,1,11061,11063,5,1125,7.988888741,7.988888741,0,7.988888741,0,39.9444437 +11063,MN,818,71,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,36 WEST 17 STREET,C6-4A, , , , , , , , , ,N,L8,6,0, ,36 W 17 ST CORP,2300,12000,12000,0,0,4600,0,7400,0,0,2,1,5,0,2,25,92,25,92, ,3,N,5,2,153000,1114200,0,0,1920,2010,0,Ladies' Mile Historic District, ,5.22,10,10,10,1,1008180071,0,54,985854,208340,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,248.9773749,2480.504191,961200,7,0,11062,11064,11,2475,31.11599922,35.10889053,3.992891312,31.83834301,1.532346312,350.2217731 +11064,MN,583,27,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,34 MORTON STREET,C2-6, , , , , , , , , ,N,C4,2,0, ,UPPER BROADWAY LLC,2275,8375,0,8375,0,0,0,0,0,0,2,1,5,15,15,25,91,25,77, ,3,N,5,2,186300,1190250,0,0,1925,1984,0,Greenwich Village Historic District, ,3.68,3.44,2,6.5,1,1005830027,0,67,982894,205501,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,240.6462934,2382.752032,1003950,9,0,11063,11065,9,2025,15.38333321,16.78444481,1.401111603,15.53901227,0.440326896,139.8511105 +11065,MN,798,7503,104,91,1004,2,3,10011,L012,13,15,5200,2,4, ,140 WEST 23 STREET,C6-3X, , , , , , , , , ,N,RM,4,0, ,CLARET COMMONS CONDOM,6172,21273,5000,16273,0,0,0,0,0,5000,2,1,6,20,21,62.5,98.75,62.5,98.9, ,0,N,5,5,769951,4258351,54032,204166,1950,0,0, , ,3.45,9,6,9,1,1007987503,729,91,985807,210065,8d, ,105S011,10305, ,1007980065,11/15/1990,1, , ,17V1.1,7,329.5216709,6456.684816,3488400,2,0,11064,11066,29,6525,28.16444397,31.49222183,3.327777863,28.35771988,0.723414819,822.3738766 +11066,MN,411,34,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,94 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,DAE SUNG REALTY CORP,3695,16840,2965,13875,0,2965,0,0,0,0,2,1,6,20,23,49.83,75.25,50,64, ,3,N,5,2,315000,1565100,0,0,1920,1986,0, , ,4.56,4,4,4,1,1004110034,0,3001,987429,201704,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,259.7382543,4013.730037,1250100,13,0,11065,11067,18,4050,31.68099976,31.68099976,0,31.68099976,0,570.2579956 +11067,MN,539,21,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,78 WEST 3 STREET,R7-2, , , ,C1-5, , , , , ,N,S5,4,0,P,CEJ PROPERTIES LLC,1983,6822,2997,3825,0,2997,0,0,0,0,2,1,4,6,7,25,79.33,25,65,E,0,N,3,5,111558,261796,0,0,1901,2006,0,South Village Historic District, ,3.44,3.44,0,6.5,1,1005390021,0,65,984571,205087,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,213.9070498,2230.427576,150238,9,0,11066,11068,10,2250,25.23555565,25.23555565,0,25.23555565,0,252.3555565 +11068,MN,172,4,101,31,1006,2,1,10013,L001,5,15,7700,1,1,3A,370 BROADWAY,C6-4A, , , , , , , , , ,N,O5,5,0,P,"370 BROADWAY, LLC",3776,18105,18105,0,14355,3750,0,0,0,0,2,1,5,0,35,25,150.17,25,150, ,3,Y,4,2,437400,2064600,0,0,1915,0,0,Tribeca East Historic District, ,4.79,10,10,10,1,1001720004,0,31,983428,200695,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,370.0648699,4276.291063,1627200,14,0,11067,11069,18,4050,22.09499931,26.75611115,4.661111832,22.60398091,1.439866034,406.8716564 +11069,MN,543,47,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,140 WEST 4 STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,MERRIMAKER CORP,3542,16686,2600,14086,0,2600,0,0,0,0,2,2,6,24,26,32.5,109,33,97, ,3,N,5,1,371700,2683800,0,0,1900,0,0,South Village Historic District, ,4.71,3.44,0,6.5,1,1005430047,0,65,984130,205664,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,289.9204018,3584.303792,2312100,9,0,11068,11070,15,3375,18.19555664,19.41066742,1.215110779,18.27656403,0.303101881,274.1484604 +11070,MN,793,20,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,133 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,131 WEST 17 REALTY CO,8280,44004,0,44004,0,0,0,0,0,0,2,1,6,24,24,90,92,90,82, ,3,N,5,2,720000,4048650,46972,46972,1920,1979,0, , ,5.31,6.02,6,6.5,1,1007930020,0,81,985182,208880,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,372.4000952,8651.622138,3328650,7,0,11069,11071,39,8775,27.66555595,27.66555595,0,27.66555595,0,1078.956682 +11071,MN,214,9,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,413 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,413 GREENWICH CORP,1325,6330,1000,5330,0,1000,0,0,0,0,2,1,5,4,5,25,52,25,53, ,3,Y,3,2,174135,417210,0,0,1900,0,0,Tribeca West Historic District, ,4.78,6.02,6,6.5,1,1002140009,0,39,981560,202078,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,167.6872009,1503.927563,243075,14,1,11070,11072,4,900,12.28499985,12.35666656,0.071666718,12.30291653,0.031032599,49.21166611 +11072,MN,310,13,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,341 GRAND STREET,C6-2, , , , , , , , , ,N,K4,4,0,P,"341 GRAND STREET, LLC",1648,4794,4794,0,0,1644,0,3150,0,0,2,1,3,0,3,21.92,75.17,21,75,E,3,N,3,2,95400,248400,0,0,1910,0,0, , ,2.91,6.02,6,6.5,1,1003100013,0,16,987041,200409,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,203.1521038,1818.861004,153000,13,0,11071,11073,7,1575,34.98799896,37.73666763,2.748668671,35.96638053,1.150812933,251.7646637 +11073,MN,619,1,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,502 HUDSON STREET,C1-6,R6, , , , , , , , ,Y,D8,3,0, ,HUDSON ONE ASSOCIATES,8602,37721,4105,33616,0,4105,0,0,0,0,2,2,6,47,52,92,119,77,112, ,3,Y,3,2,1170000,5535900,0,0,1948,0,0,Greenwich Village Historic District, ,4.39,3.44,2,6.5,1,1006190001,0,73,982582,206435,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,432.5364573,9047.972786,4365900,9,0,11072,11074,39,8775,20.56999969,22.28333282,1.71333313,20.67527037,0.381756868,806.3355446 +11074,MN,766,55,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,218 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C5,2,0, ,CLOVER COURT REALTY L,9200,24400,0,24400,0,0,0,0,0,0,2,8,3,113,113,100,92,25,36, ,0,N,5,2,544500,2653200,0,0,1915,0,0, , ,2.65,6.02,6,6.5,1,1007660055,0,81,984414,209135,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,391.130786,9560.213431,2108700,7,0,11073,11075,43,9675,21.88888931,26.55555534,4.666666031,23.14453764,1.704273267,995.2151184 +11075,MN,699,7501,104,99,1029,2,3,10001,E003,10,15,5500,2,4, ,503 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,R1,2,0, ,OWNER / AGENT,2469,9720,0,9720,0,0,0,0,0,0,2,1,6,5,5,24.69,100,0,0, ,0,N,5,5,38410,698135,12210,12210,1910,1985,0, , ,3.94,7.52,6,10,1,1006997501,672,99,983537,212681,8b, ,105S004,10301, ,1006990030,3/26/1990,1, , ,17V1.1,7,256.1716441,2630.327712,659725,2,0,11074,11076,12,2700,12.1744442,12.1744442,0,12.1744442,0,146.0933304 +11076,MN,385,40,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,19 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C1,2,0, ,17-19 AVE C LLC,1044,2700,0,2700,0,0,0,0,0,0,2,1,5,8,8,20.08,52,20,30, ,0,N,5,5,138827,332300,0,0,1998,0,0, , ,2.59,4,0,4,1,1003850040,0,2202,989478,202053,12c, ,102 013,10203, ,1003850040,2/9/1999,1, , ,17V1.1,0,189.0740701,2186.372777,193473,1,0,11075,11077,10,2250,14.97222233,14.97222233,0,14.97222233,0,149.7222233 +11077,MN,454,41,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,205 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,12TH & 1ST LLC,1295,3332,675,2657,0,675,0,0,0,0,2,1,4,3,4,20,64.75,20,60, ,3,N,5,5,129620,193072,0,0,1920,1987,0, , ,2.57,4,0,4,1,1004540041,0,40,988799,205390,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,175.4428393,1374.813017,63452,12,0,11076,11078,6,1350,22.37666702,22.58111191,0.204444885,22.41074117,0.07619211,134.464447 +11078,MN,801,29,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,115 WEST 25 STREET,M1-6, , , , , , , , , ,N,L9,6,0, ,JJHA MORAK AND ASSOCI,1975,5580,5580,0,1815,1975,0,1790,0,0,2,1,4,0,4,20,98.75,20,97,E,3,N,5,2,180000,543150,0,0,1906,0,0, , ,2.83,0,10,10,1,1008010029,0,91,986330,210588,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,248.4394286,2120.963738,363150,2,0,11077,11079,10,2250,32.50999832,32.50999832,0,32.50999832,0,325.0999832 +11079,MN,722,8,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,455 WEST 24 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,"FARBER, JAN",2057,4064,0,3000,0,0,0,0,0,0,2,1,3,1,1,20.83,98.75,20.83,42, ,3,N,5,1,123644,178435,6900,6900,1910,2009,2009, ,455 WEST 24TH STREET HOUSE,1.98,3,0,3,1,1007220008,0,93,983443,211892,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,245.6277763,2062.163577,54791,2,1,11078,11080,9,2025,10.68099976,11.86111164,1.180111885,10.8121233,0.370873385,97.30910969 +11080,MN,746,10,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,353 WEST 22 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"WESTON, CARLEE E. JR.",1234,3300,0,2640,0,0,0,0,0,0,2,1,4,2,2,12.5,98.75,12.5,55, ,2,N,5,1,57611,131713,0,0,1901,0,0,Chelsea Historic District Extension, ,2.67,3,0,3,1,1007460010,0,93,983987,210958,8d,Y,105S007,10303, ,0, ,1, , ,17V1.1,0,227.963871,1344.135893,74102,2,0,11079,11081,6,1350,15.97222233,15.97333336,0.001111031,15.9724075,0.000414057,95.834445 +11081,MN,450,37,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,75 ST MARKS PLACE,R8B, , , , , , , , , ,N,S4,4,0, ,75 ST. MARKS PLACE RE,2398,4992,1248,3744,0,1248,0,0,0,0,2,1,4,4,5,25,93.92,25,50,E,3,N,5,5,87339,224288,0,0,1900,2011,0, , ,2.08,4,0,4,1,1004500037,0,38,988218,204507,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,226.0670165,2158.088916,136949,12,0,11080,11082,9,2025,25.4810009,26.2322216,0.751220703,25.61225997,0.256962484,230.5103397 +11082,MN,902,11,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,211 EAST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,CASTEGA - 211-213 EA,2321,9360,950,8410,0,950,0,0,0,0,2,1,6,17,18,23.5,98.75,24,83, ,3,N,5,2,191250,886500,0,0,1920,1987,0, , ,4.03,4,0,4,1,1009020011,0,64,988900,207942,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,252.1441775,2387.295846,695250,5,0,11081,11083,10,2250,19.86555672,19.86555672,0,19.86555672,0,198.6555672 +11083,MN,447,42,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,333 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,333 EAST 5TH STREET L,2425,7000,0,7000,0,0,0,0,0,0,2,1,5,24,24,25,97,25,56, ,3,N,5,1,203850,893250,0,0,1900,1984,0, , ,2.89,4,0,4,1,1004470042,0,38,987744,203910,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.2224594,2461.635353,689400,1,0,11082,11084,12,2700,27.01499939,32.32333374,5.308334351,29.09379594,2.164072623,349.1255512 +11084,MN,193,50,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,381 BROADWAY,C6-2A, , , , , , , , , ,N,L8,6,0,P,381 BROADWAY REALTY C,3835,18300,18300,0,0,3660,0,14640,0,0,2,1,5,0,7,47.42,80.17,48,82, ,3,N,3,2,356400,1769850,0,0,1915,1964,0,Tribeca East Historic District, ,4.77,6.02,6,6.5,1,1001930050,0,33,983366,200952,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,278.7976221,4494.646847,1413450,14,0,11083,11085,19,4275,13.68111134,13.68111134,0,13.68111134,0,259.9411154 +11085,MN,563,49,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,53 EAST 11 STREET,C6-1, , , , , , , , , ,N,M1,8,0,X,SPIRITUAL ASSY BAHANY,3543,7666,7666,0,0,0,0,0,0,7666,2,2,3,0,1,27.5,103.25,27.5,103,E,0,Y,5,5,395100,814950,395100,814950,1930,1968,0, , ,2.16,3.44,6,6.5,1,1005630049,0,61,986309,206422,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,292.5314332,3621.682428,419850,8,0,11084,11086,16,3600,36.55666733,38.58000183,2.023334503,36.75275064,0.506337192,588.0440102 +11086,MN,767,43,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,128 7 AVENUE,C6-3A, , , , , , , , , ,N,D6,4,0, ,200 REALTY EQUITIES L,8100,46812,5000,41812,0,5000,0,0,0,0,2,1,7,61,65,81,100,74,84, ,2,N,3,2,1107000,6723000,0,0,1959,1982,0, , ,5.78,7.52,6,7.5,1,1007670043,0,81,984723,209250,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,366.089456,8289.47705,5616000,7,0,11085,11087,36,8100,25.0359993,26.83444595,1.798446655,25.15001175,0.410556961,905.4004231 +11087,MN,754,7501,104,103,1010,2,3,10001,L021,14,15,5500,2,4, ,357 WEST 30 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,1777,3495,0,3495,0,0,0,0,0,0,2,1,3,5,5,18,98.75,0,0, ,0,N,5,5,59685,363841,0,0,1920,1978,0, , ,1.97,4,0,4,1,1007547501,171,103,984970,212808,8d, ,105S019,10304, ,1007540010,11/29/1984,1, , ,17V1.1,7,249.6008407,1832.587038,304156,6,0,11086,11088,8,1800,33.70700073,40.93111038,7.22410965,34.61001444,2.389149697,276.8801155 +11088,MN,467,55,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,213 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,TRES REALTY LLC,2550,10648,0,10648,0,0,0,0,0,0,2,1,5,20,20,25.5,100,26,84, ,3,N,5,2,300150,1179000,0,0,1920,1988,0, , ,4.18,4,0,4,1,1004670055,0,40,987653,205669,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,257.2343959,2511.604728,878850,12,0,11087,11089,10,2250,28.52666664,34.30666733,5.780000687,29.10466671,1.734000206,291.0466671 +11089,MN,863,75,105,74,1002,2,4,10016,L024,14,15,5200,1,5,2B,8 EAST 34 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,"10EAST34TH, LLC",5241,48538,48538,0,43538,5000,0,0,0,0,2,1,10,0,15,53,98.75,53,94,E,2,N,5,2,2250000,4675950,0,0,1907,1987,0, , ,9.26,10,10,10,1,1008630075,0,74,988681,211756,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,323.1186186,5809.392482,2425950,10,0,11088,11090,26,5850,54.13000107,54.18222046,0.052219391,54.13265052,0.010418409,1407.448914 +11090,MN,625,8,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,60 JANE STREET,C1-6, , , , , , , , , ,N,A5,1,0,P,DALBEATTIE LLC,1040,3338,0,3000,0,0,0,0,0,0,2,1,3,1,1,21.58,47.17,22,50,E,3,Y,5,1,47603,188764,0,0,1910,0,0,Greenwich Village Historic District, ,3.21,3.44,2,6.5,1,1006250008,0,79,982584,208152,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,146.1971043,1129.719303,141161,8,0,11089,11091,4,900,15.4800005,15.4800005,0,15.4800005,0,61.92000198 +11091,MN,822,70,105,54,1000,2,3,10010,E014,13,15,5700,1,5,1O,54 WEST 21 STREET,C6-4A,C6-2A, , , , , , , , ,Y,O6,5,0,P,5421 EQUITIES COMPANY,10850,142532,142532,0,109640,32892,0,0,0,0,2,1,12,0,51,111.83,100,112,98, ,3,Y,5,1,1485000,17941950,0,0,1910,1985,0,Ladies' Mile Historic District, ,13.14,10,10,10,1,1008220070,0,54,986124,209302,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,424.7540795,10893.55289,16457000,7,0,11090,11092,49,11025,34.23199844,36.61000061,2.378002167,34.29380798,0.346735772,1680.396591 +11092,MN,501,32,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,143 SPRING STREET,M1-5A, , , , , , , , , ,N,K2,5,0, ,ABBA 1 REALTY LLC,1875,5425,5425,0,0,5425,0,0,0,0,2,1,2,0,1,25,75,25,75,E,2,N,3,2,422100,3246300,0,0,1900,2008,1986,SoHo-Cast Iron Historic District, ,2.89,0,5,6.5,1,1005010032,0,49,983940,203180,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,207.8849118,2090.098078,2824200,0,0,11091,11093,10,2250,15.00755596,18.48111153,3.473555565,15.35491152,1.042066669,153.5491152 +11093,MN,434,40,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,435 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,P V P MANAGEMENT CORP,2270,6410,0,6410,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,48, ,3,N,5,2,25410,101307,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,2.82,4,0,4,1,1004340040,0,32,988533,203759,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,241.0010988,2422.513464,75897,1,0,11092,11094,12,2700,18.26222229,21.08333397,2.821111679,18.77870385,0.865662664,225.3444462 +11094,MN,791,9,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,155 WEST 15 STREET,R8B, , , , , , , , , ,N,D0,3,0, ,155 W 15 ST HOUSING C,8260,49880,0,49880,0,0,0,0,0,0,2,1,7,40,40,80,103.25,80,103,E,3,N,5,2,706500,5331150,35400,35400,1940,1980,1998, , ,6.04,4,0,4,1,1007910009,0,81,984725,208557,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,375.2771252,8625.13307,4624650,7,0,11093,11095,39,8775,27.87888908,27.87888908,0,27.87888908,0,1087.276674 +11095,MN,859,39,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,424 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0, ,432 PARK SOUTH REALTY,8425,126784,126784,0,119284,7500,0,0,0,0,2,1,16,0,16,107.5,80,107.5,80, ,0,Y,3,2,4950000,16710300,0,0,1913,0,0, , ,15.05,10,10,10,1,1008590039,0,74,988747,210429,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,389.6699185,9070.060779,11760300,11,0,11094,11096,39,8775,37.60300064,37.98966599,0.386665344,37.62467018,0.080707898,1467.362137 +11096,MN,458,25,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,36 EAST 3 STREET,C6-2A, , , , , , , , , ,N,B9,1,0, ,GIOVANNI TESTINO,1311,3680,0,2760,0,0,0,0,0,0,2,1,3,2,2,23,57.33,23,40, ,3,Y,5,1,30655,42756,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,2.81,6.02,6,6.5,1,1004580025,0,3602,986957,203615,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,163.5127262,1368.877,12101,1,0,11095,11097,6,1350,37.60888672,37.60888672,0,37.60888672,0,225.6533203 +11097,MN,784,6,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,267 WEST 34 STREET,C6-4M, , , , , , , , , ,N,K2,5,0,P,CANING RLTY CORP,1644,5116,5116,0,800,1690,0,1484,0,1142,2,1,4,0,1,21.67,78,21.67,78, ,3,N,5,2,449100,1662750,0,0,1920,0,0, , ,3.11,10,10,10,1,1007840006,0,109,986208,213337,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,214.2616569,1873.08668,1213650,6,0,11096,11098,8,1800,34.68444443,34.68444443,0,34.68444443,0,277.4755554 +11098,MN,391,47,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,325 EAST 8 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,"CITY JAM, .",2630,9046,0,9046,0,0,0,0,0,0,2,1,6,13,13,28,93.92,28,93, ,0,N,5,2,450000,1427400,0,0,2000,0,0, , ,3.44,4,0,4,1,1003910047,0,2602,989993,203521,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,250.4311577,2693.130453,977400,12,1,11097,11099,12,2700,8.318888664,8.79777813,0.478889465,8.364444256,0.13198017,100.3733311 +11099,MN,590,16,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,22 JONES STREET,R6, , , , , , , , , ,N,D7,4,0, ,TRILOBITE LLC,4144,28656,3100,25556,0,3100,0,0,0,0,2,1,6,36,38,42.5,97.5,43,96,E,3,N,5,2,357750,3560850,0,0,1940,1976,0,Greenwich Village Historic District Exte, ,6.92,2.43,0,4.8,1,1005900016,0,67,983537,205881,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,285.8280562,4352.094841,3203100,9,0,11098,11100,21,4725,17.54000092,18.09466743,0.554666519,17.56641361,0.118121147,368.8946857 +11100,MN,498,9,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,557 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,SCHOLASTIC 557 BROADW,10000,112500,112500,0,105500,7000,0,0,0,0,2,1,10,0,2,50,200,50,200, ,3,N,4,0,2250000,16941150,0,0,1999,2016,0,SoHo-Cast Iron Historic District, ,11.25,0,5,6.5,1,1004980009,0,49,984665,203083,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,515.8582122,10425.9753,14691200,0,0,11099,11101,47,10575,29.75499916,32.99499893,3.239999771,29.92131124,0.588021816,1406.301628 +11101,MN,532,15,102,55.01,1003,2,1,10012,L009,6,15,5700,1,2,2A,661 BROADWAY,C6-2, , , , , , , , , ,N,O6,5,0,P,BROADWAY MERCER ASSOC,15000,159987,159987,0,129987,30000,0,0,0,0,2,2,12,0,42,75.33,200,74,200, ,0,N,5,5,2938500,21385800,0,0,1912,1996,2007,NoHo Historic District, ,10.67,6.02,6,6.5,1,1005320015,0,5501,985439,204288,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,560.25639,15279.05692,18447300,9,0,11100,11102,68,15300,35.57088852,38.4066658,2.835777283,35.61261727,0.341347424,2421.657974 +11102,MN,610,55,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2K,17 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,BLDG OCEANSIDE LLC,2210,9344,1050,8294,0,1050,0,0,0,0,2,1,5,11,12,25,90.5,25,84, ,3,Y,5,2,142200,1381500,0,0,1920,0,0,Greenwich Village Historic District, ,4.23,3.44,2,6.5,1,1006100055,0,71,984212,206835,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,228.3415922,2062.583183,1239300,8,0,11101,11103,10,2250,18.18777847,18.18777847,0,18.18777847,0,181.8777847 +11103,MN,833,52,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,12 WEST 32 STREET,C6-4, , , , , , , , , ,N,O6,5,0,P,12 WEST 32ND STREET T,3325,33117,33117,0,30117,3000,0,0,0,0,2,1,13,0,11,33.67,98.75,34,94,E,3,N,5,2,900000,3560850,0,0,1908,0,0, , ,9.96,10,10,10,1,1008330052,0,76,987976,211557,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,264.9221345,3242.272172,2660850,10,0,11102,11104,14,3150,41.76111221,44.86999893,3.108886719,41.98317555,0.800660748,587.7644577 +11104,MN,575,7502,102,63,2000,2,3,10011,L003,6,15,5700,3,2, ,31 WEST 11 STREET,R6, , , , , , , , , ,N,R4,3,0, ,31 W 11 CONDOMINIUM,5352,30263,1692,28571,0,0,0,305,0,1387,2,1,9,17,17,51.83,103.25,52,88, ,3,N,5,5,589501,3519449,0,0,1912,1988,2007,Greenwich Village Historic District, ,5.65,2.43,0,4.8,1,1005757502,1895,63,985303,206971,12c, ,103 020,10207, ,1005750066,10/1/2008,1, , ,17V1.1,7,316.2914563,5505.714805,2929950,8,0,11103,11105,24,5400,24.42399979,25.03333282,0.609333038,24.44938866,0.121760775,586.7853279 +11105,MN,195,30,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3A,80 WHITE STREET,C6-2A, , , , , , , , , ,N,E9,6,0, ,GENERAL HARDWARE MANU,5416,35500,35500,0,6600,0,0,28900,0,0,2,1,6,0,2,45,119.42,45,119, ,2,Y,3,2,423450,2551500,0,0,1915,1988,0,Tribeca East Historic District, ,6.55,6.02,6,6.5,1,1001950030,0,31,983670,200801,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,343.369345,6028.220415,2128050,14,0,11104,11106,26,5850,15.13333321,18.63999939,3.506666183,15.55477766,1.0096864,404.4242191 +11106,MN,921,64,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,304 EAST 15 STREET,R8A,C1-6A, , , , ,TA, , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,9475,36783,36783,0,36783,0,0,0,0,0,2,1,5,0,1,74.75,128.25,74.75,111,E,1,N,3,2,1534500,3326850,1534500,3326850,1905,0,0, , ,3.88,6,0,6,1,1009210064,0,48,988592,206218,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,419.2980099,10268.60488,1792350,5,0,11105,11107,45,10125,21.21777725,28.13111115,6.913333893,22.73747864,2.614522215,1023.186539 +11107,MN,445,59,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,51 EAST 3 STREET,R8B, , , , , , , , , ,N,N2,8,0, ,D J R MANAGEMENT CORP,4752,11835,11835,0,0,0,0,0,0,11835,2,1,4,0,0,60,96.17,60,96.17, ,0,Y,5,2,252450,570600,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.49,4,0,4,1,1004450059,0,38,987266,203588,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,320.2384959,5029.909057,318150,1,0,11106,11108,22,4950,29.97444344,34.94000244,4.965559006,30.40560029,1.36509208,668.9232063 +11108,MN,480,25,102,41,6000,2,1,10012,E055,5,15,6800,1,2,1G,201 MOTT STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C3,2,0,P,SPRING VILL LUXURY IN,977,2195,0,2195,0,0,0,0,0,0,2,1,3,4,4,22.17,50.08,22.17,33, ,3,Y,5,5,24513,73921,0,0,1900,0,0, , ,2.25,6.02,6,6.5,1,1004800025,0,41,985425,202079,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,162.4379673,1379.974057,49408,0,0,11107,11109,6,1350,38.9980011,42.68666458,3.688663483,39.61277835,1.374683716,237.6766701 +11109,MN,791,20,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,137 WEST 15 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,13715 REALTY LLC,2065,4160,0,4160,0,0,0,0,0,0,2,1,4,7,7,20,103.25,20,59, ,3,N,5,1,55802,260646,0,0,1910,0,0, , ,2.01,4,0,4,1,1007910020,0,81,984891,208465,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,253.1692596,2085.159077,204844,7,0,11108,11110,9,2025,27.87888908,29.89777756,2.018888474,28.2875309,0.769193402,254.5877781 +11110,MN,567,30,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,9 EAST 9 STREET,R7-2, , , , , , , , , ,N,C2,2,0, ,"JEAUXGH COMPANY,",2307,4081,0,4081,0,0,0,0,0,0,2,1,3.5,5,5,25,92.25,25,59,E,3,N,5,5,325406,546733,0,0,1938,0,0,Greenwich Village Historic District, ,1.77,3.44,0,6.5,1,1005670030,0,59,985625,206223,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,234.849847,2291.607499,221327,8,0,11109,11111,11,2475,27.86444473,31.75555611,3.891111374,28.66828312,1.358561384,315.3511143 +11111,MN,769,4,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,188 8 AVENUE,C1-6A, , , , , , , , , ,N,C6,2,0,P,188-90 8 AVE HDFC,3100,12080,2000,10080,0,2000,0,0,0,0,2,1,5,8,10,30.92,100,31,83, ,3,N,5,2,80579,499701,80579,316769,1910,1983,0, , ,3.9,4,2,4,1,1007690004,0,87,984319,209973,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,264.8184085,3196.112669,419122,7,0,11110,11112,13,2925,21.88888931,21.88888931,0,21.88888931,0,284.5555611 +11112,MN,765,67,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,246 WEST 16 STREET,R8B, , , , , , , , , ,N,S2,4,0,P,246 WEST 16TH STREET,2581,4907,2012,2895,2012,0,0,0,0,0,2,1,3,2,3,25,103.25,25,48,E,0,N,5,5,74645,186390,0,0,1920,0,0, , ,1.9,4,0,4,1,1007650067,0,81,984003,209077,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,260.3400052,2628.821046,111745,7,0,11111,11113,12,2700,22.05333328,24.21555519,2.162221909,22.39194441,0.759031124,268.7033329 +11113,MN,608,9,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,37 7 AVENUE,C2-6, , , , , , , , , ,N,D6,4,0, ,HARRAN HOLDING CORP,4700,22998,3525,19473,0,3525,0,0,0,0,2,1,6,32,36,47,100,47,90, ,2,N,3,2,855000,3431700,0,0,1910,1986,0,Greenwich Village Historic District, ,4.89,3.44,2,6.5,1,1006080009,0,71,984260,208008,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,303.8248799,5121.362262,2576700,8,0,11112,11114,22,4950,24.04400063,27.87999916,3.835998535,24.52216209,1.167755643,539.487566 +11114,MN,738,56,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,328 WEST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,C & T 328 REALTY LLC,2031,5224,1100,4124,0,1100,0,0,0,0,2,1,4,13,14,25,81.25,25,54, ,3,N,5,2,99000,763200,0,0,1900,0,0, , ,2.57,4,0,4,1,1007380056,0,83,983317,209166,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,226.8818189,2301.58443,664200,7,0,11113,11115,10,2250,16.15333366,19.63666725,3.483333588,16.50166702,1.045000076,165.0166702 +11115,MN,675,39,104,99,1017,2,3,10001,E034,10,15,5500,1,4,2B,606 WEST 30 STREET,M2-3, , , , , , , , , ,N,G1,10,0,P,WEST 30TH STREET LLC,14812,16052,16052,0,1240,0,14812,0,0,0,2,1,1,0,1,150,98.75,150,98.75, ,2,N,5,2,1350000,1899000,0,0,1925,1987,0, , ,1.08,0,2,0,1,1006750039,0,99,982932,213761,8b, ,105S013,10301, ,0, ,1,1,1,17V1.1,0,493.3400551,14603.06832,549000,6,1,11114,11116,64,14400,10.35766602,12.73999977,2.382333755,10.90351054,0.257795476,697.8246746 +11116,MN,621,50,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,70 PERRY STREET,R6, , , , , , , , , ,N,C3,2,0, ,GERALD BANU,1902,4508,0,4508,0,0,0,0,0,0,2,1,4,4,4,20,95.08,20,60,E,3,N,5,5,192509,323199,2360,2360,1905,1978,0,Greenwich Village Historic District, ,2.37,2.43,0,4.8,1,1006210050,0,73,983149,207147,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,233.4755252,1974.022993,130690,8,0,11115,11117,11,2475,24.81222343,27.51222229,2.699998856,25.62636445,0.961232432,281.8900089 +11117,MN,437,5,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4B,156 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,DONZELLI REALTY CORP,2500,11620,1937,9683,0,1937,0,0,0,0,2,1,6,22,24,25,100,25,89, ,3,Y,5,2,95400,931050,0,0,1900,1986,0, , ,4.65,4,0,4,1,1004370005,0,34,988593,204646,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,256.3384567,2564.790944,835650,12,0,11116,11118,13,2925,17.51666641,23.5755558,6.058889389,17.98273483,1.614508348,233.7755528 +11118,MN,223,33,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,442 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,Z9, ,0,P,PONTE EQUITIES INC,1638,108,0,0,0,0,0,0,0,0,2,1,1,0,0,21,78,0,8, ,0,N,5,5,111600,139050,0,0,1900,0,0,Tribeca North Historic District, ,0.07,6.02,6,6.5,1,1002230033,0,39,981514,202698,12a, ,101N040,10105,E-257,0, ,1,1,1,17V1.1,0,203.3940979,1687.845152,27450,0,1,11117,11119,8,1800,9.881999969,11.4011116,1.519111633,10.24622226,0.631618188,81.96977806 +11119,MN,202,25,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,46 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,"CHINA ARCADE,",16000,47500,47500,0,15000,32500,0,0,0,0,2,2,3,0,14,75,200,75,200, ,3,Y,4,2,1071000,6631200,0,0,1960,1992,0, , ,2.97,3.44,6,6.5,1,1002020025,0,29,985093,200063,12c,Y,101S032,10105, ,0, ,1, , 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,17V1.1,0,390.8897687,9248.447403,14683100,8,0,11120,11122,41,9225,30.09499931,35.52444458,5.429445267,30.95120537,1.891440744,1268.99942 +11122,MN,887,18,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,127 EAST 31 STREET,C6-2A,C4-5A, , , , , , , , ,Y,C5,2,0, ,127-129 EAST 31ST STR,2119,5648,500,5148,500,0,0,0,0,0,2,1,4,12,14,37.17,56.17,37.17,38, ,3,Y,5,2,157500,828450,0,0,1910,1987,0, , ,2.67,6.02,6,6.5,1,1008870018,0,72,989403,210625,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,189.5557582,2119.50903,670950,10,0,11121,11123,8,1800,29.31800079,29.31800079,0,29.31800079,0,234.5440063 +11123,MN,623,48,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,267 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,"MEYER, MELISSA",2538,6144,0,4722,0,0,0,0,0,0,2,2,4,2,2,25,101.5,23,62, ,0,N,5,5,166148,328153,0,0,1910,2009,0,Greenwich Village Historic District, ,2.42,2.43,0,4.8,1,1006230048,0,77,983097,207536,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,251.9382157,2335.536868,162005,8,0,11122,11124,9,2025,22.60333252,27.26888847,4.665555954,24.09502432,1.748733579,216.8552189 +11124,MN,457,128,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,29 EAST 2 STREET,C6-2A,R8B, , , , , , , , ,Y,D6,4,0, ,29 EAST 2ND STREET CO,6434,35598,3457,32141,0,2327,0,1130,0,0,2,1,6,54,55,50,109,50,109, ,3,Y,3,2,281250,921150,253125,829035,2003,0,0, , ,5.53,6.02,6,6.5,1,1004570128,0,3602,986799,203396,12c, ,102 009,10205, ,1004570028,4/13/2006,1, , ,17V1.1,0,401.3825651,6270.359295,639900,1,0,11123,11125,24,5400,40.63299942,41.87900162,1.246002197,41.77207549,0.328358941,1002.529812 +11125,MN,493,12,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,234 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0,P,"M&E 234,",2325,9930,0,9930,0,0,0,0,0,0,2,1,6,20,20,25,93,25,77, ,3,Y,5,2,439650,1242450,0,0,1900,2015,0, , ,4.27,6.02,6,6.5,1,1004930012,0,43,985679,202518,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,243.9587245,2502.978317,802800,0,0,11124,11126,10,2250,42.74333191,45.23555374,2.492221832,43.22744293,0.96875237,432.2744293 +11126,MN,398,15,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,170 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,KINGFISH LLC,7865,20642,0,20642,0,0,0,0,0,0,2,6,4,54,54,74.25,105.92,74,46, ,0,N,5,5,450000,2101050,0,0,1930,1983,0, , ,2.62,4,0,4,1,1003980015,0,3002,988570,202694,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,363.759408,7978.683393,1651050,1,0,11125,11127,36,8100,19.50600052,24.39333344,4.887332916,21.09917932,2.036238729,759.5704556 +11127,MN,292,23,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,17 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,17 ELDRIDGE STREET CO,2500,9475,1895,7580,0,1895,0,0,0,0,2,1,5,18,22,25,100,25,88, ,3,N,5,1,168750,566550,0,0,1900,0,0, , ,3.79,3.44,6,6.5,1,1002920023,0,16,985948,199763,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,263.2582891,2723.723925,397800,16,0,11126,11128,13,2925,39.91899872,44.06888962,4.1498909,40.62384532,1.383458745,528.1099892 +11128,MN,447,1,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,88 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,FONTANA REALTY LLC,3637,18553,3000,15553,0,3000,0,0,0,0,2,1,6,20,22,48.5,75,51,83, ,2,N,3,2,535500,2673900,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,5.1,4,0,4,1,1004470001,0,38,987401,204072,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,261.9544956,4109.5114,2138400,1,0,11127,11129,18,4050,28.15800095,37.56555557,9.407554626,28.81217363,2.171510392,518.6191254 +11129,MN,886,79,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,112 EAST 31 STREET,C4-5A, , , , , , , , , ,N,O5,5,0, ,"VALENTINO REALTY, INC",3975,11098,9092,2006,4086,3000,0,0,0,0,2,2,4,5,9,40.25,98.75,23,69, ,3,N,5,5,616500,1420650,0,0,1910,0,0, , ,2.79,4,4,4,1,1008860079,0,72,989217,210577,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,283.5220851,4076.4518,804150,10,0,11128,11130,19,4275,33.23199844,35.7211113,2.489112854,33.53632636,0.631975415,637.1902008 +11130,MN,860,30,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,39 EAST 30 STREET,C5-2, , , , , , , , , ,N,O5,5,0, ,EAST 30TH STREET REAL,1975,7400,7400,0,5400,2000,0,0,0,0,2,1,4,0,5,20,98.75,20,99,E,3,N,5,2,227250,789300,0,0,1920,0,0, , ,3.75,10,10,10,1,1008600030,0,74,988752,210719,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,237.1385532,1971.566357,562050,10,0,11129,11131,8,1800,37.50888824,37.50888824,0,37.50888824,0,300.071106 +11131,MN,738,21,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,325 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,K4,4,0, ,325 WEST 14TH ST INC,3125,9870,6150,3720,1215,4935,0,0,0,0,2,1,4,7,9,25,126.5,25,64,E,3,N,5,1,158850,1089000,0,0,1901,1988,0, , ,3.16,6.02,6,6.5,1,1007380021,0,83,983242,209084,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,311.6339515,3047.61225,930150,7,0,11130,11132,13,2925,16.15333366,16.15333366,0,16.15333366,0,209.9933376 +11132,MN,625,62,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,283 WEST 12 STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,"283 WEST 12TH STREET,",1560,4584,700,3884,0,700,0,0,0,0,2,1,4,3,4,24,65,24,65,E,2,N,3,5,150058,342485,0,0,1910,1957,0,Greenwich Village Historic District, ,2.94,3.44,2,6.5,1,1006250062,0,77,983139,208046,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,182.0980181,1676.480788,192427,8,0,11131,11133,10,2250,20.9066658,20.9066658,0,20.9066658,0,209.066658 +11133,MN,913,14,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,233 EAST 32 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,32 REALTY LLC,7423,38918,0,38918,0,0,0,0,0,0,2,1,6,53,53,75.17,98.75,75,84, ,3,N,5,2,589500,3010950,0,0,1925,1987,0, , ,5.24,4,0,4,1,1009130014,0,70,990437,210372,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,340.905883,7149.107685,2421450,10,0,11132,11134,32,7200,22.72100067,24.8433342,2.122333527,22.99215341,0.636434425,735.748909 +11134,MN,613,13,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,244 WEST 11 STREET,R6, , , , , , , , , ,N,C5,2,0, ,244 W 11 ST REALTY CO,1600,3340,0,3340,0,0,0,0,0,0,2,1,3,8,8,20,80,20,47,E,3,N,5,2,100611,302347,0,0,1900,1988,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006130013,0,73,983385,207443,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,201.6788938,1604.946431,201736,8,0,11133,11135,7,1575,25.34199905,27.85555649,2.513557434,25.70107869,0.879561879,179.9075508 +11135,MN,626,24,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,630 HUDSON STREET,C1-6, , , , , , , , , ,N,S5,4,0, ,630 HUDSON LLC,1720,6160,700,5460,0,700,0,0,0,0,2,1,4,6,7,22,90,22,68, ,3,Y,5,2,66054,250217,0,0,1905,1986,0,Greenwich Village Historic District, ,3.58,3.44,2,6.5,1,1006260024,0,77,982794,208287,8b, ,103 035,10210, ,0, ,1, , 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REALTY,14500,63587,3000,60587,0,3000,0,0,0,0,2,1,6,93,102,163.33,81.83,162,79, ,1,Y,3,2,985500,6058350,0,0,1926,1983,2014, , ,4.39,6.02,6,6.5,1,1004950011,0,43,985252,202804,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,503.904223,15692.02748,5072850,0,0,11138,11140,71,15975,37.57110977,40.94555664,3.374446869,37.84006151,0.681437711,2686.644367 +11140,MN,411,68,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,114 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,L8,6,0, ,B ARNOLD LLC,1780,14060,14060,0,4200,3560,0,0,6300,0,2,1,6,0,7,22.25,80,22,78, ,3,N,3,2,160200,1405800,0,0,1920,0,0, , ,7.9,4,4,4,1,1004110068,0,3001,987680,201607,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,213.8091055,2006.645163,1245600,13,0,11139,11141,9,2025,30.50799942,30.73711014,0.229110718,30.53345617,0.072002552,274.8011055 +11141,MN,445,49,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,75 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,"EAST END ASSOCIATES,",2404,11046,0,11046,0,0,0,0,0,0,2,1,6,24,24,25,96.17,25,81, ,3,N,5,2,225000,1587150,0,0,1900,1988,0, , ,4.59,4,0,4,1,1004450049,0,38,987477,203480,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,249.598688,2525.106701,1362150,1,0,11140,11142,12,2700,29.97444344,31.64988899,1.675445557,30.34627708,0.648578538,364.1553249 +11142,MN,143,17,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,329 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D2,3,0,P,"SMCB ASSOCIATES, LLC",2500,11309,2200,9109,0,2200,0,0,0,0,2,1,5,8,9,25,100,25,90, ,3,N,5,2,151895,489533,0,0,1920,2005,0,Tribeca West Historic District, ,4.52,6.02,6,6.5,1,1001430017,0,39,981405,200747,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,258.0496157,2573.697993,337638,14,0,11141,11143,11,2475,16.87599945,16.87599945,0,16.87599945,0,185.635994 +11143,MN,302,1,103,16,1000,2,1,10002,L006,5,14,7400,1,3,1A,263 GRAND STREET,PARK, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,103075,6160,6160,0,0,0,0,0,0,6160,2,1,1,0,2,828.5,123.92,42,70, ,1,Y,1,1,7560000,9209700,7560000,9209700,1960,0,0, , ,0.06,0,0,0,1,1003020001,0,16,985908,200454,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,1920.851403,104995.6806,1649700,13,0,11142,11144,467,105075,35.80666733,53.95000076,18.14333344,41.72309292,4.511483597,19484.68439 +11144,MN,219,7505,101,39,1014,2,1,10013,L008,1,15,7700,3,1, ,31 VESTRY STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,5317,27210,0,27210,0,0,0,0,0,0,2,1,9,7,7,51.67,106.58,0,0, ,0,Y,0,5,162100,1371118,0,467012,2008,0,0, , ,5.12,6.02,6,6.5,1,1002197505,2271,39,981819,202490,12a, ,101N040,10105, ,1002190018,9/26/2011,1, , ,17V1.1,7,318.8645736,5563.579948,1209020,0,1,11143,11145,25,5625,10.46666718,14.98666668,4.519999504,12.28457802,1.658815195,307.1144505 +11145,MN,746,7503,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,249 8 AVENUE,C1-6A,C2-7A, , , , , , , , ,Y,RM,4,0, ,PHYLLIS SOLOMON RECEI,11300,21455,11456,9999,0,11456,0,0,0,0,2,1,21,221,222,100,113,0,0, ,0,N,5,5,2215800,17707500,251214,251214,1931,0,0, , ,1.9,4,2,4,1,1007467503,206,93,984532,210767,8d, ,105S007,10303, ,1007460048,11/26/1985,1, , ,17V1.1,7,433.9452789,11662.46849,15491700,2,0,11144,11146,52,11700,15.97222233,21.12999916,5.157776833,16.35380345,1.322450783,850.3977795 +11146,MN,411,60,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,147 ESSEX STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,147 ESSEX STREET REAL,2250,9750,1990,7760,0,1990,0,0,0,0,2,1,5,8,9,25,90,25,86,E,3,N,5,2,132026,340588,0,0,1900,1988,0, , ,4.33,4,4,4,1,1004110060,0,3001,987730,201829,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,236.2479614,2302.498255,208562,1,0,11145,11147,11,2475,30.50799942,34.12555313,3.617553711,31.18476712,1.370501174,343.0324383 +11147,MN,589,14,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,26 CORNELIA STREET,R6, , , , , , , , , ,N,C6,2,0, ,22 CORNELIA STREET,7046,26110,0,26110,0,0,0,0,0,0,2,3,5,60,60,75.08,92.33,25,60, ,3,N,5,2,463500,3349800,37760,37760,1920,2014,0,Greenwich Village Historic District Exte, ,3.71,2.43,0,4.8,1,1005890014,0,67,983648,205675,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,327.2232946,6667.132811,2886300,9,0,11146,11148,29,6525,20.61488914,21.54444504,0.929555893,20.80556284,0.283195073,603.3613224 +11148,MN,743,9,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,359 WEST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,357 WEST 19TH CO. LLC,3066,7335,0,7335,0,0,0,0,0,0,2,1,4,8,8,33.33,92,33.5,62, ,0,N,5,5,82843,387267,0,0,1900,1966,0, , ,2.39,3,0,3,1,1007430009,0,89,983611,210309,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,251.5325412,3025.045751,304424,7,0,11147,11149,14,3150,15.57888889,17.81333351,2.234444618,15.73849208,0.575457475,220.3388891 +11149,MN,140,7505,101,21,2000,2,1,10007,E007,1,15,7700, ,1, ,157 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,7662,92408,5084,87324,0,5084,0,0,0,0,2,1,16,38,40,100,76.42,100,76, ,3,Y,5,5,1084504,11730604,4720,6133713,1931,2006,0, , ,12.06,7.52,6,7.5,1,1001407505,1847,21,981432,200193,12a, ,101S016,10104, ,1001400010,3/20/2008,1, , ,17V1.1,7,365.5988978,8220.844776,10646100,14,0,11148,11150,38,8550,16,18.1439991,2.1439991,16.34479518,0.750737674,621.1022167 +11150,MN,574,44,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,36 5 AVENUE,R10,R6, , , , , , , , ,Y,M1,8,0,X,CHURCH OF THE ASCENSI,11517,8000,8000,0,0,0,0,0,0,8000,2,1,1,0,1,89.58,126.92,80,100, ,2,Y,3,2,2466000,3813300,2466000,3813300,1900,0,0,Greenwich Village Historic District, ,0.69,10,0,10,1,1005740044,0,63,985436,206607,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,449.6883683,11906.78792,1347300,8,0,11149,11151,53,11925,20.66300011,31.12555504,10.46255493,22.11691622,3.283847343,1172.19656 +11151,MN,633,10,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,332 WEST 11 STREET,R6,C1-6A, , , , , , , , ,Y,G1,10,0, ,ENHS NEW YORK LLC,5121,24840,24840,0,0,0,24840,0,0,0,2,1,5,0,1,50,102.42,50,98,E,3,Y,5,2,450000,2699100,0,0,1905,1989,0,Greenwich Village Historic District, ,4.85,2.43,0,4.8,1,1006330010,0,75,982120,207197,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,311.2609522,5258.388442,2249100,9,0,11150,11152,23,5175,15.33111095,15.64700031,0.315889359,15.63326599,0.064419671,359.5651178 +11152,MN,574,23,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,42 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,42 WEST 11 LLC,2061,4436,0,3215,0,0,0,0,0,0,2,1,3,1,1,21.75,94.75,21.75,43, ,3,N,5,1,118484,228592,0,0,1899,2014,0,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1005740023,0,63,985131,206890,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,233.4946175,1923.958928,110108,8,0,11151,11153,9,2025,20.92488861,25.45988846,4.534999847,23.41795031,1.474032183,210.7615528 +11153,MN,545,20,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,732 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0, ,"HARMONY REALTY CO., L",3320,11662,10862,800,3200,7662,0,0,0,0,2,1,4,1,5,24,137.5,25,136,E,3,N,5,2,774000,2256300,0,0,1900,0,0,NoHo Historic District, ,3.51,0,5,6.5,1,1005450020,0,57,986209,205029,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,336.6671762,3634.768271,1482300,9,0,11152,11154,16,3600,38.29555511,40.51444244,2.218887329,38.43423557,0.537107105,614.9477692 +11154,MN,194,11,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,42 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,"AMK HOLDINGS, LLC",2522,11200,2240,8960,0,2240,0,0,0,0,2,1,5,4,5,25.17,100.33,25,94,E,3,Y,5,2,229860,312312,0,0,1910,2015,0,Tribeca East Historic District, ,4.44,6.02,6,6.5,1,1001940011,0,33,983233,201367,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,255.9276178,2569.898672,82452,14,0,11153,11155,11,2475,12.8255558,12.8255558,0,12.8255558,0,141.0811138 +11155,MN,846,12,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,13 EAST 17 STREET,M1-5M, , , , , , , , , ,N,D6,4,0, ,"TRIAD CAPITAL, LLC",2250,20144,5200,14944,0,5200,0,0,0,0,2,1,9,5,9,25,89.83,25,89,E,3,Y,5,2,80214,1393879,0,0,1910,2008,0,Ladies' Mile Historic District, ,8.95,0,5,6.5,1,1008460012,0,52,986712,208032,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,244.3715027,2349.264012,1313670,7,0,11154,11156,10,2250,39.36555481,39.36555481,0,39.36555481,0,393.6555481 +11156,MN,436,24,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,430 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"430 EAST 9TH STREET,",2348,9750,1263,8487,0,1263,0,0,0,0,2,1,5,21,23,25,93.92,25,78, ,3,N,5,1,174600,1112850,0,0,1900,0,0, , ,4.15,4,0,4,1,1004360024,0,32,988809,204284,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,252.0721854,2537.700815,938250,12,0,11155,11157,12,2700,17.84799957,19.22777748,1.379777908,18.07353656,0.426471234,216.8824387 +11157,MN,696,42,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,510 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K1,5,0, ,510 WEST 25TH LLC,3950,3950,3950,0,0,3950,0,0,0,0,2,1,1,0,1,40,98.75,40,98.75, ,1,N,5,0,204750,1435500,0,0,1975,2005,0, , ,1,0,5,6.5,1,1006960042,0,99,983132,212181,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,280.7274607,4011.421895,1230750,2,1,11156,11158,18,4050,8.63299942,10.26000023,1.627000809,8.723388354,0.372683122,157.0209904 +11158,MN,637,21,102,75,1001,2,3,10014,L005,6,15,6400,1,2,2K,156 PERRY STREET,R6A,C1-6A, , ,C1-5, , , , , ,Y,S2,4,0,P,156 PERRY STREET LLCQ,1600,4800,2400,2400,0,1200,0,0,0,1200,2,1,3,2,3,20,79.67,20,60,E,2,Y,5,5,38016,94952,0,0,1920,0,0, , ,3,3,0,3,1,1006370021,0,75,981782,206892,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,202.4771728,1663.501081,56936,9,1,11157,11159,7,1575,10.04599953,11.11399937,1.06799984,10.19857093,0.373722093,71.38999653 +11159,MN,906,8,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,213 EAST 25 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,STERLING PROPERTIES C,2469,8720,0,8720,0,0,0,0,0,0,2,1,5,22,22,25,98.75,25,68, ,3,N,5,2,147150,972900,0,0,1950,1988,0, , ,3.53,4,0,4,1,1009060008,0,66,989411,208881,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,251.8270218,2469.382431,825750,11,0,11158,11160,11,2475,30.26000023,32.64555359,2.38555336,30.88848495,1.026893837,339.7733345 +11160,MN,885,76,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,124 EAST 30 STREET,C4-5A, , , , , , , , , ,N,B3,1,0, ,"MAKINEN, MARITA A",1761,2992,0,2244,0,0,0,0,0,0,2,1,2,2,2,17.83,98.75,17.83,44,E,3,N,5,1,86086,149299,0,0,1901,0,0, , ,1.7,4,4,4,1,1008850076,0,72,989162,210312,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,236.4003174,1703.541634,63213,10,0,11159,11161,7,1575,32.84000015,33.09555435,0.255554199,32.8765079,0.089425341,230.1355553 +11161,MN,772,43,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,203 WEST 22 STREET,R8A, , , ,C2-5, , , , , ,N,C3,2,0, ,22112 LLC,822,2548,0,2548,0,0,0,0,0,0,2,1,4,4,4,16.67,49.33,17,40, ,3,N,5,5,143467,240241,0,0,1901,1969,0, , ,3.1,6,0,6,1,1007720043,0,91,985282,210212,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,135.7042644,847.0114474,96774,2,0,11160,11162,5,1125,22.16600037,23.84333229,1.677331924,22.81048889,0.790440658,114.0524445 +11162,MN,281,52,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,25 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,SAN KIANG CH ASSN INC,1745,4875,4875,0,3475,1400,0,0,0,0,2,1,3,0,4,25,69.83,25,70,E,3,Y,5,2,90000,560700,0,0,1910,0,0, , ,2.79,3.44,6,6.5,1,1002810052,0,8,985287,199388,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,189.4863184,1674.510291,470700,16,0,11161,11163,9,2025,35.10200119,40.22444534,5.122444153,35.67116165,1.609828887,321.0404549 +11163,MN,65,22,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1B,20 JOHN STREET,C5-5, , , , , ,LM, , , ,N,S3,4,0,P,JOHN STREET COMMONS L,1607,5460,1500,3960,0,1500,0,0,0,0,2,1,4,3,4,24.92,64.17,25,62, ,3,Y,5,5,288202,751336,0,0,1920,1988,2003, , ,3.4,10,15,15,1,1000650022,0,1502,981770,197841,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,187.1972039,1699.808514,463134,0,0,11162,11164,7,1575,29.17399979,32.45111084,3.277111053,29.64215851,1.146749987,207.4951096 +11164,MN,564,31,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,35 EAST 12 STREET,C6-1, , , , , , , , , ,N,D0,3,0, ,VILLAGE PLACE CORPORA,7227,64377,14302,50075,0,0,0,0,0,14302,2,1,9,21,24,28,206.5,28,207, ,3,Y,4,2,769500,6572250,21650,21650,1900,1978,0, , ,8.91,3.44,6,6.5,1,1005640031,0,61,986466,206703,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,509.8814883,7699.661852,5802750,8,0,11163,11165,36,8100,38.11633301,39.67855453,1.562221527,38.15972805,0.256728533,1373.75021 +11165,MN,443,23,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,73 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,TESORUCCIA INC,1650,6825,0,6825,0,0,0,0,0,0,2,1,5,10,10,25,67.33,25,50, ,3,Y,5,2,33096,182403,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.14,4,0,4,1,1004430023,0,3602,987278,203122,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,182.5214696,1618.240496,149307,1,0,11164,11166,7,1575,31.53899956,31.53899956,0,31.53899956,0,220.7729969 +11166,MN,836,65,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,40 WEST 35 STREET,C6-4.5, , , , , ,MID, , , ,N,H3,5,0, ,MEADOW REAL ESTATE FU,5925,55498,5000,0,0,5000,0,0,0,0,2,1,13,0,3,60,98.75,60,93, ,3,N,5,2,2133000,8266500,0,0,1904,2015,0, , ,9.37,10,12,12,1,1008360065,0,76,988104,212416,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,330.0430311,6317.282805,6133500,10,0,11165,11167,26,5850,49.62900162,49.62900162,0,49.62900162,0,1290.354042 +11167,MN,502,11,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,108 THOMPSON STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,"GROSS, BARRETT ZINN",1330,4180,0,4180,0,0,0,0,0,0,2,1,3,8,8,19,70,19,54, ,3,N,5,1,68812,330031,0,0,1900,1984,0,Sullivan-Thompson Historic District, ,3.14,3.44,0,6.5,1,1005020011,0,49,983766,203642,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,185.6660815,1502.133918,261219,0,0,11166,11168,7,1575,12.81888866,17.0233326,4.204443932,13.5968568,1.462952762,95.17799759 +11168,MN,393,36,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,169 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"ROMERO, ANISA",1909,7437,1000,6437,0,1000,0,0,0,0,2,1,5,8,10,24.17,79,24,58, ,3,N,5,2,120288,1019142,109416,909396,1920,2008,0, , ,3.9,4,0,4,1,1003930036,0,28,990459,203868,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,209.7624069,2000.864595,898854,12,1,11167,11169,9,2025,7.409999847,9.415555954,2.005556107,7.632839415,0.630285477,68.69555473 +11169,MN,485,39,102,49,1008,2,1,10013,E055,1,15,6800,1,2,1A,464 BROOME STREET,M1-5A, , , , , , , , , ,N,C8,2,0,P,462-464 BROOME ST ETC,2525,12625,2525,10100,0,2525,0,0,0,0,2,1,5,5,6,25,101,25,94, ,3,N,5,2,222645,677944,3459,3459,1900,1988,2013,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004850039,0,49,983975,202546,12c,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,259.0044968,2710.260208,455299,0,0,11168,11170,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +11170,MN,448,48,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,315 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,ROZOF ARTHUR,1635,3504,0,3504,0,0,0,0,0,0,2,1,3,8,8,20,81.75,20,70,E,3,N,5,1,41702,166810,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.14,4,0,4,1,1004480048,0,38,987704,204214,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,214.6984282,1787.047246,125108,1,0,11169,11171,7,1575,27.1590004,31.15999985,4.000999451,28.25674629,1.737765281,197.797224 +11171,MN,699,25,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,511 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,C0,2,0, ,"FORMATO, LEONARD",2469,4450,0,4450,0,0,0,0,0,0,2,1,3,3,3,25,98.75,25,60,E,3,N,5,2,43947,79127,0,0,1920,0,0, , ,1.8,7.52,6,10,1,1006990025,0,99,983433,212781,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,248.4423289,2496.800945,35180,2,1,11170,11172,11,2475,12.50699997,16.53666687,4.029666901,13.17087876,1.417509253,144.8796663 +11172,MN,499,11,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,112 GREENE STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,112 GREENE STREET TEN,3750,21656,5000,16656,0,5000,0,0,0,0,2,1,6,6,8,37.5,100,38,100,E,3,N,5,2,294840,1026578,5130,5130,1900,1980,2011,SoHo-Cast Iron Historic District, ,5.77,0,5,6.5,1,1004990011,0,49,984415,203254,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,282.4336929,3928.198639,731738,0,0,11171,11173,17,3825,22.35555458,26.78555489,4.430000305,22.61614283,1.042353013,384.4744282 +11173,MN,632,56,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,115 CHARLES STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,115 CHARLES ST RLTY I,2391,9515,0,9515,0,0,0,0,0,0,2,1,5,15,15,25.08,95.33,25,86, ,3,N,5,1,270000,1189350,14160,14160,1911,1984,0,Greenwich Village Historic District, ,3.98,3.44,2,6.5,1,1006320056,0,75,982434,206909,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,248.166759,2567.077928,919350,9,0,11172,11174,13,2925,19.34666634,22.29222298,2.945556641,19.70145284,0.869028233,256.1188869 +11174,MN,448,40,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,331 EAST 6 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,331 EAST 6TH STREET T,2271,7864,0,7864,0,0,0,0,0,0,2,1,6,1,1,25,90.83,25,62, ,3,N,5,2,75733,266405,0,0,2012,2011,0,East Village/Lower East Side Historic Di, ,3.46,4,0,4,1,1004480040,0,38,987865,204130,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,237.0181455,2310.766294,190672,1,0,11173,11175,10,2250,27.1590004,29.21666718,2.057666779,27.44395599,0.636324142,274.4395599 +11175,MN,286,15,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,237 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,237 HENRY PROPERTY LL,2300,8680,0,8680,0,0,0,0,0,0,2,1,5,20,20,23,100,23,85, ,3,N,5,2,155250,902700,0,0,1900,0,0, , ,3.77,3.44,0,6.5,1,1002860015,0,201,988183,199391,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,253.8149113,2412.466591,747450,13,0,11174,11176,12,2700,29.71888924,33.14333344,3.424444199,30.36637052,1.20333117,364.3964462 +11176,MN,395,7,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,207 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,CRISARI REALTY INC,2232,6432,800,5632,0,800,0,0,0,0,2,2,4,20,21,24,93,24,40, ,2,N,5,2,90000,537300,0,0,1900,1988,0, , ,2.88,4,0,4,1,1003950007,0,28,990230,204680,12c, ,102 030,10203, ,0, ,1, , ,17V1.1,0,239.0005678,2291.996154,447300,12,1,11175,11177,8,1800,10.2122221,13.31000042,3.09777832,11.01438892,1.293247508,88.11511135 +11177,MN,552,13,102,65,1001,2,1,10011,L009,6,15,5700,1,2,2A,80 WEST WASHINGTON PLCE,R7-2, , , , , , , , , ,N,A4,1,0, ,80 WEST WASHINGTON PL,2150,6075,0,5075,0,0,0,0,0,0,2,1,4,1,1,22.33,96.25,22,50, ,3,N,5,1,24592,155640,0,0,1900,2009,0,Greenwich Village Historic District, ,2.83,3.44,0,6.5,1,1005520013,0,65,984239,205900,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,239.0084894,2107.009011,131048,9,0,11176,11178,8,1800,17.50333405,17.50333405,0,17.50333405,0,140.0266724 +11178,MN,633,42,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,741 GREENWICH STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,"GREISS, TRUSTEE, VICT",1254,2160,0,2160,0,0,0,0,0,0,2,1,3,2,2,18.67,76.92,18.67,40, ,3,Y,5,2,38760,94952,4140,4140,1899,0,0,Greenwich Village Historic District, ,1.72,3.44,2,6.5,1,1006330042,0,75,982418,207183,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,248.1169037,1868.0365,56192,9,0,11177,11179,9,2025,19.46666718,23.61000061,4.143333435,20.1740746,1.39867381,181.5666714 +11179,MN,862,49,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,28 1/2 EAST 33 STREET,C5-2, , , , , , , , , ,N,C5,2,0, ,TAMAR EQUITIES CORP.,1646,5184,1600,3584,0,800,0,0,0,800,2,1,5,8,9,16.67,98.75,17,77, ,3,N,5,2,134116,640645,0,0,1925,1983,0, , ,3.15,10,10,10,1,1008620049,0,74,988927,211327,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,236.0672772,1621.759908,506529,10,0,11178,11180,7,1575,40.45000076,47.19666672,6.746665955,41.41381019,2.360841293,289.8966713 +11180,MN,404,30,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,170 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0, ,PARK EAST TENTH LLC,1750,6230,1000,5230,0,1000,0,0,0,0,2,1,5,8,10,25,70,25,70, ,3,N,5,2,25364,74543,0,0,1900,1986,0, , ,3.56,4,0,4,1,1004040030,0,34,989840,204262,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,198.4780738,1952.71703,49179,12,1,11179,11181,8,1800,12.53199959,12.53199959,0,12.53199959,0,100.2559967 +11181,MN,616,52,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,3 HORATIO STREET,C1-6, , , , , , , , , ,N,S9,4,0, ,KWAI AND WONG INC,1090,3002,600,2402,0,600,0,0,0,0,2,1,4,6,8,16.67,65.42,17,65,E,3,N,5,2,55292,236028,0,0,1910,0,0,Greenwich Village Historic District, ,2.75,3.44,2,6.5,1,1006160052,0,77,983230,208481,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,170.1669482,1212.373655,180736,8,0,11180,11182,5,1125,20.44199944,20.44199944,0,20.44199944,0,102.2099972 +11182,MN,608,29,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,116 WEST 13 STREET,R6, , , , , , , , , ,N,H8,8,0,X,NEW SCHOOL UNIVERSITY,6453,28516,0,0,0,0,0,0,0,0,2,1,7,1,2,62.5,103.25,62.5,94,E,3,N,5,2,945000,3985200,945000,3985200,1930,1984,0,Greenwich Village Historic District, ,4.42,2.43,0,4.8,1,1006080029,0,71,984683,207742,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,337.79777,6616.910838,3040200,8,0,11181,11183,30,6750,24.04400063,28.29777718,4.25377655,24.62014872,1.336387038,738.6044617 +11183,MN,288,24,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,305 HENRY STREET,R7-2, , , , , , , , , ,N,P5,8,0,P,HENRY ST SETTLEMENT,3593,9476,9476,0,0,0,0,0,0,9476,2,1,4,0,1,48.5,76.25,49,76, ,3,Y,5,2,422550,1130850,422550,1130850,1948,0,0, , ,2.64,3.44,0,6.5,1,1002880024,0,202,989102,199503,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,257.5514792,3829.503774,708300,13,0,11182,11184,17,3825,29.70800018,31.63955688,1.931556702,30.22807851,0.71994192,513.8773346 +11184,MN,439,3,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,186 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,FIRST AVE REALTY CORP,2500,6920,1384,5536,0,1384,0,0,0,0,2,1,5,8,10,25,100,25,82,E,3,N,5,2,73289,286709,0,0,1900,0,0, , ,2.77,4,0,4,1,1004390003,0,34,988815,205044,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,259.3179669,2495.594048,213420,12,0,11183,11185,11,2475,21.74699974,23.46222305,1.715223312,22.09591918,0.619177692,243.0551109 +11185,MN,850,10,105,56,3001,2,2,10010,E014,13,15,5700,1,5,1O,927 BROADWAY,M1-5M,C6-4M, , , , , , , , ,Y,D7,4,0, ,"BENDER FAMILY REALTY,",1580,6240,1248,4992,0,1248,0,0,0,0,2,1,5,4,5,21.33,91.83,21,92,E,3,Y,5,2,244594,1251313,0,0,1910,1998,0,Ladies' Mile Historic District, ,3.95,0,5,6.5,1,1008500010,0,56,987072,208962,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,219.4289774,1613.950539,1006720,7,0,11184,11186,7,1575,40.45888901,40.45888901,0,40.45888901,0,283.2122231 +11186,MN,230,7505,102,47,2014,2,1,10013,E055,1,15,6800,1,2, ,21 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,3653,15360,3201,12159,0,3201,0,0,0,0,2,1,5,4,5,36,100,36,70, ,0,N,5,5,95667,1322333,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,4.2,0,5,6.5,1,1002307505,1555,47,983661,201895,12a, ,11N 046,10105, ,1002300036,7/26/2006,1, , ,17V1.1,7,280.9349429,3782.543501,1226670,0,1,11185,11187,17,3825,11.39777756,14.54888916,3.151111603,11.58313706,0.741438024,196.9133301 +11187,MN,402,26,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,164 EAST 7 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,HERRICK PETER,1817,6162,800,5362,0,800,0,0,0,0,2,1,5,9,10,20,90.83,20,60, ,3,N,5,2,15749,88094,0,0,1900,0,0, , ,3.39,3,0,3,1,1004020026,0,32,989215,203490,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,226.6710654,1912.425332,72345,12,0,11186,11188,8,1800,12.85000038,12.85000038,0,12.85000038,0,102.8000031 +11188,MN,583,13,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,62 MORTON STREET,R6, , , , , , , , , ,N,B9,1,0, ,"SHAPIRO, TRUSTEE, STU",2500,4936,0,3618,0,0,0,0,0,0,2,1,2,2,2,25,100,25,46,E,3,N,5,1,43233,187453,0,0,1901,0,0,Greenwich Village Historic District, ,1.97,2.43,0,4.8,1,1005830013,0,67,982557,205477,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,250.0004077,2499.999928,144220,9,0,11187,11189,11,2475,15.38333321,18.27000046,2.886667252,16.14414146,1.243164946,177.585556 +11189,MN,611,32,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,163 WEST 10 STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,163 W. 10TH,2227,9495,1706,7789,0,1706,0,0,0,0,2,1,5,16,19,25,95,25,80, ,3,Y,4,2,225000,1710000,0,0,1900,1988,2012,Greenwich Village Historic District, ,4.26,3.44,2,6.5,1,1006110032,0,73,983714,206911,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,230.1791996,2166.967246,1485000,8,0,11188,11190,9,2025,21.29555511,21.29555511,0,21.29555511,0,191.659996 +11190,MN,540,36,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,171 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,171 BLEECKER ST. CORP,2500,11310,2050,9260,0,2050,0,0,0,0,2,2,5,16,18,25,100,25,100, ,3,N,3,2,172350,1910700,0,0,1910,1984,0,South Village Historic District, ,4.52,3.44,0,6.5,1,1005400036,0,65,984141,204881,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.7648407,2794.312376,1738350,9,0,11189,11191,11,2475,22.5755558,22.5755558,0,22.5755558,0,248.3311138 +11191,MN,939,34,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,587 1 AVENUE,C1-9A, , , , , , , , , ,N,C4,2,1, ,FIRST 34 REALTY LLC,2198,4138,1030,3108,1030,0,0,0,0,0,2,1,4,6,7,21.08,100,21,47, ,3,N,5,2,54304,262189,0,0,1930,1972,0, , ,1.88,10,2,10,1,1009390034,0,70,991441,210197,8d, ,104 023,10309, ,1009390028,3/25/1998,1,1,1,17V1.1,0,241.4283519,2079.821375,207885,10,1,11190,11192,10,2250,10.03999996,10.03999996,0,10.03999996,0,100.3999996 +11192,MN,409,26,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,246 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,BROOME REALTY (NY) CO,2334,12470,2051,10419,0,2051,0,0,0,0,2,1,6,20,22,26.67,87.5,25,86, ,3,N,3,2,157050,642600,0,0,1900,0,0, , ,5.34,4,4,4,1,1004090026,0,18,987157,200901,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,236.134093,2544.221371,485550,13,0,11191,11193,12,2700,35.36399841,35.36399841,0,35.36399841,0,424.367981 +11193,MN,510,7502,102,43,1003,2,1,10012,L020,5,15,6800,1,2, ,295 LAFAYETTE STREET,C6-3, , , , , , , , , ,N,RM,4,0, , ,23397,197207,192724,4483,0,192724,0,0,0,0,2,1,10,6,15,0.53,0,0,0, ,0,Y,0,5,4500005,45831600,0,0,1901,2004,0, , ,8.43,7.52,6,10,1,1005107502,2184,43,985526,203243,12c, ,11N 075,10206, ,1005100045,7/12/2011,1, , ,17V1.1,7,701.8028336,24711.29526,41331600,9,0,11192,11194,108,24300,42.14333344,43.96110916,1.817775726,42.34517271,0.271217107,4573.278652 +11194,MN,445,62,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,47 EAST 3 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,C7,4,0,P,AEE FAMILY LLC,3080,11604,2600,9004,0,2600,0,0,0,0,2,1,6,15,17,40,77,40,65, ,0,N,5,2,201150,476100,0,0,1900,2008,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004450062,0,38,987220,203606,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,242.0594595,2689.406532,274950,1,0,11193,11195,12,2700,29.97444344,34.10777664,4.133333206,30.31888787,1.142392948,363.8266544 +11195,MN,516,41,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,157 PRINCE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,BLDG PRINCE LLC,884,3276,3276,0,0,1638,0,1638,0,0,2,1,3,2,4,20.08,44,20,36, ,3,N,5,1,195750,797850,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,3.71,0,5,6.5,1,1005160041,0,49,983940,203789,12a,Y,101N071,10206, ,1005160037,12/27/2001,1, , ,17V1.1,0,130.4496832,904.4921777,602100,0,0,11194,11196,5,1125,17.67111206,21.50877762,3.837665558,18.43864517,1.535066223,92.19322586 +11196,MN,389,49,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,623 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,621-23 EAST 6 ST HDFC,2271,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,55, ,3,N,5,2,37132,164715,37132,63335,1910,1986,0, , ,3.08,4,0,4,1,1003890049,0,2602,989714,203106,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,241.7658898,2420.706299,127583,12,1,11195,11197,12,2700,9.168999672,10.45888901,1.289889336,9.538305362,0.510103369,114.4596643 +11197,MN,646,57,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,421 WEST 13 STREET,M1-5, , , , , , , , , ,N,L8,6,0,P,M. MEILMAN REALTY AND,7537,44082,44082,0,29388,14694,0,0,0,0,2,1,6,0,8,73,103.25,73,103, ,3,N,5,2,949500,9458100,0,0,1904,0,0,Gansevoort Market Historic District, ,5.85,0,5,6.5,1,1006460057,0,79,982323,209233,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,356.6676353,7704.972326,8508600,8,1,11196,11198,34,7650,12.05555534,12.35511112,0.299555779,12.06436581,0.050612263,410.1884375 +11198,MN,172,1,101,31,1006,2,1,10013,L001,5,15,7700,1,1,3Q,364 BROADWAY,C6-4A, , , , , , , , , ,N,D0,3,0,P,COLLECT POND HOUSE IN,7501,93378,7000,86378,0,7000,0,0,0,0,2,1,12,38,39,50,149.83,50,150, ,2,Y,3,2,1039500,9774900,25960,25960,1920,1984,0,Tribeca East Historic District, ,12.45,10,10,10,1,1001720001,0,31,983393,200640,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,423.5231093,8505.987923,8735400,14,0,11197,11199,38,8550,22.09499931,28.25777817,6.162778854,22.29618359,0.994029762,847.2549763 +11199,MN,426,16,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,243 BOWERY,C6-1, , , , , , , , , ,N,K4,4,0, ,"HARLEN SALES CO.,INC.",1875,8557,8557,0,0,1875,0,0,0,6682,2,1,5,0,3,24.75,74,25,76, ,3,Y,5,2,202500,915750,0,0,1900,1989,0, , ,4.56,3.44,6,6.5,1,1004260016,0,3601,986238,202524,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,208.1712781,1986.416318,713250,13,0,11198,11200,9,2025,42.47499847,42.47499847,0,42.47499847,0,382.2749863 +11200,MN,282,30,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,95 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,HCF REALTY LLC,2188,9442,1800,7642,0,1800,0,0,0,0,2,1,6,16,18,25,87.5,25,74, ,3,N,5,2,109800,643950,0,0,1920,1987,0, , ,4.32,3.44,6,6.5,1,1002820030,0,8,986046,199243,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,236.7106854,2356.787115,534150,16,0,11199,11201,10,2250,34.88000107,39.11666489,4.236663818,35.34795647,1.259476015,353.4795647 +11201,MN,73,14,101, , ,2,1,10038, ,1,15,7700, , , , SOUTH STREET,C4-6, , , , , ,LM, , , ,N,Y7,7,0,C,NYC DSBS,23350,23350,23350,0,0,0,0,0,0,23350,2,1,2,0,0,166,140,166,140, ,0,N,5,5,1210500,2090700,1210500,2090700,1900,0,0, , ,1,10,3.4,10,1,1000730014,0,0,0,0,12b,Y,101N104,10102, ,0, ,1,1,1,17V1.1,0,622.6912793,12589.77642,880200,4,1,11200,11202,52,11700,0,7.78000021,7.78000021,2.361158131,3.363333159,122.7802228 +11202,MN,743,57,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,320 WEST 20 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,CHES REALTY LLC,2316,5000,0,5000,0,0,0,0,0,0,2,1,3,14,14,25.17,92,25,51, ,3,N,5,2,126000,725850,0,0,1900,0,0,Chelsea Historic District, ,2.16,3,0,3,1,1007430057,0,89,983959,210224,8d,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,239.4946659,2376.495933,599850,7,0,11201,11203,10,2250,15.57888889,19.82110977,4.242220879,16.70999994,1.737497989,167.0999994 +11203,MN,355,71,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,150 STANTON STREET,R7A, , , , , , , , , ,N,S3,4,0,P,150 STANTON STREET RE,1075,3524,800,2724,0,800,0,0,0,0,2,1,4,3,4,21.5,50,22,44, ,3,N,5,5,44952,72976,0,0,1900,0,0, , ,3.28,4,0,4,1,1003550071,0,3001,988283,201835,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,143.2088879,1080.070802,28024,1,0,11202,11204,5,1125,23.94333458,23.94333458,0,23.94333458,0,119.7166729 +11204,MN,576,14,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,54 WEST 13 STREET,C6-2, , , , , , , , , ,N,HB,5,0,P,BRIDGETON WEST 13 FEE,4336,46020,3000,0,0,3000,0,0,0,0,2,3,17,0,0,42,103.25,42,86, ,3,N,5,0,1305000,14459850,0,0,2011,0,0, , ,10.61,6.02,6,6.5,1,1005760014,0,63,985174,207470,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,304.3592869,4798.600956,13154900,8,0,11203,11205,21,4725,23.70299912,28.69000053,4.987001419,27.47859246,1.318385026,577.0504417 +11205,MN,610,7501,102,73,6006,2,3,10014,Q018,6,15,6400,2,2, ,45 CHRISTOPHER STREET,R6,C4-5, , , , , , , , ,Y,RM,4,0, ,45 CHRISTOPHER STREET,10812,106769,5216,101553,0,5216,0,0,0,0,2,1,17,112,120,114.5,91.33,0,0, ,0,N,5,5,1170002,14049453,102582,196042,1931,1931,0,Greenwich Village Historic District, ,9.88,2.43,0,4.8,1,1006107501,366,73,983736,206677,12a, ,103 017,10209, ,1006100031,1/7/1987,1, , ,17V1.1,7,428.5679061,10957.56711,12879500,8,0,11204,11206,49,11025,20.06299973,22.24666595,2.183666229,20.49330587,0.796674162,1004.171988 +11206,MN,526,65,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,188 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C0,2,0, ,WEN-CHUNG CHOU A/K/A,2252,3960,0,3960,0,0,0,0,0,0,2,1,4,3,3,22.5,100.08,22.5,45, ,2,N,5,0,56666,221184,1550,1550,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.76,3.44,0,6.5,1,1005260065,0,65,983992,204720,12c,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,247.843535,2236.252952,164518,9,0,11205,11207,10,2250,23.22699928,25.86777878,2.640779495,23.96009979,0.896045643,239.6009979 +11207,MN,297,20,103,16,5000,2,1,10002,E015,7,14,7400,1,3,2B,19 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,19 ESSEX LLC,2188,9288,1850,7438,0,1850,0,0,0,0,2,1,5,8,10,25,87.5,25,71, ,3,N,5,2,59304,334414,0,0,1920,1989,0, , ,4.24,6.02,6,6.5,1,1002970020,0,16,986973,199895,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,232.8874894,2286.110471,275110,13,0,11206,11208,10,2250,32.98300171,32.98300171,0,32.98300171,0,329.8300171 +11208,MN,719,45,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,402 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,C5,2,0,P,SULLKOR REALTY CHELSE,1026,4788,1764,3024,1764,0,0,0,0,0,2,1,4.5,7,8,14.25,72,14,52, ,3,N,5,2,69242,389764,0,0,1900,0,0,Chelsea Historic District, ,4.67,3,0,3,1,1007190045,0,89,983654,210979,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,176.5325735,1099.504205,320522,7,1,11207,11209,5,1125,9.307999611,9.307999611,0,9.307999611,0,46.53999805 +11209,MN,146,7503,101,33,2011,2,1,10013,E007,1,15,7700,3,1, ,104 READE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4610,27716,13207,14509,0,0,0,0,0,13207,2,1,5.5,9,10,75.17,61.42,75,62, ,0,Y,0,5,495000,2929051,7490,7490,1920,0,0,Tribeca South Historic District, ,6.01,6.02,6,6.5,1,1001467503,1004,33,981946,200123,12a, ,101S017,10104, ,1001460007,3/31/1998,1, , ,17V1.1,7,283.0207768,4986.284856,2434050,14,0,11208,11210,22,4950,16.87777901,16.87777901,0,16.87777901,0,371.3111382 +11210,MN,501,6,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,423 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D7,4,0,P,574 REALTY LLC,5000,20670,1440,19230,0,1440,0,0,0,0,2,1,6,26,28,50,100,50,84, ,3,N,5,2,589500,4230000,0,0,1910,1983,0,SoHo-Cast Iron Historic District, ,4.13,0,5,6.5,1,1005010006,0,49,983938,203437,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,306.3987502,5172.082524,3640500,0,0,11209,11211,24,5400,15.00755596,18.52111053,3.513554573,15.24236147,0.804254278,365.8166752 +11211,MN,825,12,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,49 WEST 23 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,JOSEPH BELSON 2012 TR,24687,337000,337000,0,299600,37400,0,0,0,0,2,3,12,0,64,125,197.5,75,195, ,0,N,4,2,6300000,30313800,0,0,1916,1985,1936,Ladies' Mile Historic District, ,13.65,0,10,10,1,1008250012,0,58,986641,209885,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,669.3630476,26170.38876,24013800,2,0,11210,11212,117,26325,35.38666916,36.7899971,1.403327942,35.97094176,0.117092007,4208.600185 +11212,MN,719,3,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,469 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,A5,1,0, ,"CHENZHOU FAMILY, LLC",1945,2785,0,2785,0,0,0,0,0,0,2,1,3,1,1,20,97.25,20,40,E,3,N,5,2,107692,168489,0,0,1920,2009,2009,Chelsea Historic District, ,1.43,3,0,3,1,1007190003,0,89,982961,211232,8b, ,103 042,10302, ,0, ,1,1,1,17V1.1,0,244.7406458,2155.37789,60797,7,1,11211,11213,10,2250,9.307999611,9.380000114,0.072000504,9.315199661,0.021600151,93.15199661 +11213,MN,503,45,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,195 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,TOCKWOOTEN ASSOCIATES,3473,17494,2770,14724,0,2770,0,0,0,0,2,1,6,25,27,46.25,75,46,73,E,3,N,5,2,356400,1872900,0,0,1900,1985,0,Sullivan-Thompson Historic District, ,5.04,3.44,0,6.5,1,1005030045,0,49,983389,203536,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,257.7226042,3963.497069,1516500,0,0,11212,11214,17,3825,14.34111118,18.03666687,3.695555687,14.71566677,1.040677443,250.1663351 +11214,MN,193,17,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,34 WHITE STREET,C6-2A, , , , , , , , , ,N,K4,4,0,P,MEATH REALTY INC,1375,4876,2438,2438,0,2438,0,0,0,0,2,1,3,2,3,25,55,23,53, ,3,N,3,2,96750,468900,0,0,1938,1975,0,Tribeca East Historic District, ,3.55,6.02,6,6.5,1,1001930017,0,33,982979,201190,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,172.3514997,1610.458121,372150,14,0,11213,11215,7,1575,13.68111134,15.96988869,2.288777351,14.00807953,0.800905235,98.0565567 +11215,MN,803,11,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,149 WEST 27 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,149 WEST 27TH ST LLC,2757,10380,10380,0,8380,2000,0,0,0,0,2,1,4,0,1,27.92,98.75,27,90, ,3,Y,5,2,405000,1210050,0,0,1910,1985,0, , ,3.76,0,10,10,1,1008030011,0,95,986237,211228,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,263.6546387,3013.628458,805050,2,0,11214,11216,12,2700,37.16799927,37.16799927,0,37.16799927,0,446.0159912 +11216,MN,163,24,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,61 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,61 BAYARD ST REALTYCO,2250,9750,1950,7800,0,1950,0,0,0,0,2,1,5,16,19,25,90,25,78, ,3,N,5,2,101250,471150,0,293400,1915,1995,0, , ,4.33,3.44,6,6.5,1,1001630024,0,29,984797,199864,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,232.2298524,2284.650581,369900,14,0,11215,11217,11,2475,33.5909996,35.98333359,2.392333984,33.80848451,0.687747665,371.8933296 +11217,MN,791,25,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,127 WEST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,127 W 15TH ST OWNERS,2065,4160,0,4160,0,0,0,0,0,0,2,1,4,8,8,20,103.25,20,54, ,3,N,5,1,59526,276282,11800,11800,1911,0,0, , ,2.01,4,0,4,1,1007910025,0,81,984979,208416,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,253.6686169,2111.905598,216756,7,0,11216,11218,10,2250,27.87888908,32.02000046,4.141111374,29.57355576,1.752732524,295.7355576 +11218,MN,249,1,103,8,6019,1,1,10002,E009,5,14,7800,1,3,1A,222 SOUTH STREET,M1-4, , , , , , , , , ,N,Q6,9,0,C,NYC DEPT OF EDUCATION,73412,0,0,0,0,0,0,0,0,0,7,1,1,0,0,459.5,160.33,0,0, ,0,N,1,5,2589300,3106350,2589300,3106350,1981,0,0, , ,0,0,2,6.5,1,1002490001,0,8,986198,197933,12d, ,101N053,10106, ,0, ,1,1,1,17V1.1,0,1226.096397,70979.88019,517050,16,1,11217,11219,315,70875,4.590000153,9.020777702,4.43077755,7.835622915,1.387667053,2468.221218 +11219,MN,410,1,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,120 ORCHARD STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,ORCHARD STREET REALTY,2210,10600,4200,6400,0,4200,0,0,0,0,2,1,5,12,14,25,88.42,25,86, ,3,N,5,2,225000,1592550,0,0,1900,2003,2003, , ,4.8,6.02,6,6.5,1,1004100001,0,18,987207,201363,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,230.6475537,2205.634486,1367550,13,0,11218,11220,11,2475,33.47900009,35.44289017,1.963890076,33.65753555,0.564578701,370.2328911 +11220,MN,821,21,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,31 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,PANASIA ESTATE INC.,8556,50256,50256,0,42256,8000,0,0,0,0,2,1,6,0,13,46.5,184,47,178, ,3,N,4,2,1489500,7975350,0,0,1920,2003,0,Ladies' Mile Historic District, ,5.87,10,10,10,1,1008210021,0,54,986222,208918,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,482.7017051,9010.433083,6485850,7,0,11219,11221,41,9225,32.91555405,36.96333313,4.047779083,33.15192813,0.892314523,1359.229054 +11221,MN,513,10,102,49,1002,2,1,10012,L020,1,15,6800,1,2,1A,148 GREENE STREET,M1-5A, , , , , , , , , ,N,D0,3,0,P,150 GREENE ST CORP,5000,26668,1000,25668,0,1000,0,0,0,0,2,1,7,8,9,50.17,100,50,99, ,2,Y,5,2,469786,1424460,21338,21338,1900,2008,0,SoHo-Cast Iron Historic District, ,5.33,0,5,6.5,1,1005130010,0,49,984705,203704,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,309.5491936,5278.385976,954674,9,0,11220,11222,23,5175,26.62555504,30.06666756,3.441112518,26.77516863,0.70174993,615.8288784 +11222,MN,594,7507,102,37,1016,2,3,10013,L008,1,15,6800,1,2, ,300 SPRING STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,2296,13140,2785,10355,0,0,0,0,0,2785,2,1,7,9,10,45.92,50,50,55, ,0,N,0,5,112064,2178731,7080,7080,2005,0,0, , ,5.72,6.02,6,6.5,1,1005947507,1615,37,982038,203677,12a, ,11N 063,10208, ,1005940077,12/29/2006,1, , ,17V1.1,7,199.5829452,2487.682619,2066670,0,1,11221,11223,11,2475,9.168000221,14.35999966,5.191999435,10.55400016,2.263697374,116.0940018 +11223,MN,773,78,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,258 WEST 24 STREET,R8A, , , , , , , , , ,N,A4,1,0, ,"ACME FAMILY, LLC",1646,3335,0,3335,0,0,0,0,0,0,2,1,4,1,1,16.67,98.75,16.67,50, ,3,N,5,2,51518,201430,0,0,1920,1986,2004, , ,2.03,6,0,6,1,1007730078,0,91,984955,210877,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,238.1019018,1625.164634,149912,2,0,11222,11224,8,1800,23.38899994,25.58444595,2.195446014,23.77647233,0.744708228,190.2117786 +11224,MN,163,21,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,67 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,BAYARD GROUP INC,2587,14200,2000,12200,0,2000,0,0,0,0,2,1,7,26,28,26,100,26,106, ,3,Y,5,2,175500,932850,0,0,1945,0,0, , ,5.49,3.44,6,6.5,1,1001630021,0,29,984724,199893,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,252.3446911,2564.586171,757350,14,0,11223,11225,12,2700,33.5909996,34.79111099,1.200111389,33.69100889,0.331693265,404.2921066 +11225,MN,437,7502,103,34,3002,1,2,10009,L011,9,14,6200,4,3, ,266 EAST 10 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,2300,9773,3608,6165,0,3608,0,0,0,0,2,1,6,2,3,25,92.25,25,90, ,0,Y,0,5,258750,1654650,0,260407,2007,0,0, , ,4.25,4,0,4,1,1004377502,1947,34,988775,204585,12c, ,102 020,10205, ,1004370014,11/12/2008,1, , ,17V1.1,7,235.6345656,2255.34442,1395900,12,0,11224,11226,9,2025,17.51666641,20.08222198,2.565555573,17.80172814,0.80627633,160.2155533 +11226,MN,706,35,104,99,1040,2,3,10001,E034,10,15,5500,1,4,2B,447 10 AVENUE,C6-4, , , , , ,HY, , , ,N,S3,4,0, ,"509 W 34, L.L.C.",2467,7156,2500,4656,0,2500,0,0,0,0,2,2,4,3,4,24.67,100,25,94,E,2,N,5,5,64003,342732,0,0,1900,0,0, , ,2.9,10,10,10,1,1007060035,0,99,984501,214425,8d, ,105S027,10302,E-137,0, ,1, , ,17V1.1,0,256.0871821,2720.741541,278729,6,0,11225,11227,12,2700,44.35699844,44.42499924,0.068000793,44.36266518,0.018794426,532.3519821 +11227,MN,903,60,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,293 3 AVENUE,C2-8A, , , , , , , , , ,N,S2,4,0, ,293 THIRD AVENUE LLC,2275,6143,1167,4976,0,1167,0,0,0,0,2,1,4,2,3,22.75,100,22.75,40, ,3,N,5,5,130548,204451,0,0,1910,2009,0, , ,2.7,10,2,10,1,1009030060,0,64,988943,208290,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,248.743619,2223.12189,73903,11,0,11226,11228,10,2250,19.86555672,19.86555672,0,19.86555672,0,198.6555672 +11228,MN,769,6,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,261 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,EIGHTH-19TH CO. LLC,2769,10500,1200,9300,0,1200,0,0,0,0,2,1,5,16,18,28,96.67,28,78,E,3,Y,5,2,142650,1155150,0,0,1901,1987,0, , ,3.79,6.02,6,6.5,1,1007690006,0,87,984368,209895,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,256.1069785,2705.439277,1012500,7,0,11227,11229,14,3150,21.88888931,21.88888931,0,21.88888931,0,306.4444504 +11229,MN,772,74,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,254 WEST 23 STREET,C2-7A, , , , , , , , , ,N,K4,4,0, ,"JAFFIN-SEGAL CHELSEA,",2468,4700,4700,0,2000,2700,0,0,0,0,2,1,3,0,3,25,98.75,25,54,E,3,N,5,1,193050,525150,0,0,1920,0,0, , ,1.9,7.52,2,7.5,1,1007720074,0,91,984851,210594,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,255.527808,2529.960305,332100,2,0,11228,11230,9,2025,22.16600037,22.16600037,0,22.16600037,0,199.4940033 +11230,MN,298,13,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,38 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,ORCHARD PLAZA LLC,1112,5047,1112,3935,0,1112,0,0,0,0,2,1,5,8,9,44.17,25.08,44,25,E,2,Y,3,1,169574,428084,0,0,1910,1960,0, , ,4.54,6.02,6,6.5,1,1002980013,0,16,986688,200093,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,147.3508416,1263.605942,258510,13,0,11229,11231,5,1125,36.34444427,37.64699936,1.302555084,37.22442169,0.540449869,186.1221085 +11231,MN,563,31,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,817 BROADWAY,C6-1, , , , , , , , , ,N,O6,5,0,P,817 BROADWAY OWNER LL,8175,114000,114000,0,107500,6500,0,0,0,0,2,1,14,0,15,42.08,132.17,42.08,132, ,2,Y,3,2,891000,9151650,0,0,1900,1975,2008, , ,13.94,3.44,6,6.5,1,1005630031,0,61,986599,206400,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,447.5869058,9098.399744,8260650,8,0,11230,11232,40,9000,37.07600021,42.22066498,5.144664764,37.42034454,1.160074823,1496.813782 +11232,MN,882,59,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,140 EAST 27 STREET,R8B, , , , , , , , , ,N,S4,4,0,P,"PTMCD PROPERTIES, LLC",1975,4660,1660,3000,0,1660,0,0,0,0,2,1,4,4,5,20,98.75,20,65, ,0,N,5,5,246839,575789,0,0,1910,1968,0, , ,2.36,4,0,4,1,1008820059,0,68,989093,209467,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,243.5858121,2114.269975,328950,11,0,11231,11233,9,2025,31.85222244,35.74333191,3.891109467,32.28456794,1.222857729,290.5611115 +11233,MN,385,5,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,27 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D5,3,0,P,MOONBEAMS INC,6900,32225,3010,29215,0,3010,0,0,0,0,2,1,6,52,57,100,69,100,69, ,3,N,3,2,621000,3884400,0,0,1900,1988,0, , ,4.67,4,0,4,1,1003850005,0,2202,988989,202465,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,350.3238578,7436.041162,3263400,1,0,11232,11234,32,7200,17.58333397,19.93111229,2.34777832,17.73520201,0.557106232,567.5264645 +11234,MN,764,51,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,222 WEST 15 STREET,R8B,C6-2A, , , , , , , , ,Y,D3,3,0, ,OUR LADY OF PEACE INC,6432,38330,0,38330,0,0,0,0,0,0,2,1,10,64,64,49.5,129.5,50,110, ,3,Y,5,2,612000,7315650,0,0,1928,1974,0, , ,5.96,4,0,4,1,1007640051,0,81,984104,208701,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,370.734368,6623.365454,6703650,7,0,11233,11235,28,6300,22.05333328,25.42044449,3.367111206,24.37332473,0.580959454,682.4530926 +11235,MN,175,7,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,84 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,2374 CONCOURSE ASSOCI,2504,6132,3066,3066,1533,1533,0,0,0,0,2,1,4,5,7,25,100,25,96,E,3,N,5,0,251100,999000,0,0,1915,2002,0,Tribeca East Historic District, ,2.45,6.02,6,6.5,1,1001750007,0,33,982971,200927,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,254.0178792,2490.713271,747900,14,0,11234,11236,12,2700,17.40222168,20.92133331,3.519111633,17.69548098,0.972631074,212.3457718 +11236,MN,205,22,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1F,113 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,UNITED CHINA STAR COR,2541,8941,3125,5816,0,3125,0,0,0,0,2,2,4,12,13,25.17,99.67,25,49, ,3,N,5,2,173250,536850,0,0,1900,0,0, , ,3.52,6.02,6,6.5,1,1002050022,0,41,984935,200745,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,258.2531959,2709.355295,363600,0,0,11235,11237,12,2700,31.4109993,31.4109993,0,31.4109993,0,376.9319916 +11237,MN,618,7501,102,77,1000,2,3,10011,Q018,6,15,6100,3,2, ,222 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,RM,4,0,P,222-228 WEST 14TH STR,12483,124667,31150,93517,11309,0,19381,0,0,460,2,1,15,132,137,100,124.83,100,79, ,3,N,5,5,3064489,17756089,81120,126823,1987,1986,0, , ,9.99,6.02,6,6.5,1,1006187501,447,77,983890,208473,8b,Y,103 031,10209, ,1006180018,12/16/1987,1, , ,17V1.1,7,460.0231582,13014.51562,14691600,8,0,11236,11238,57,12825,22.30444527,25.37888908,3.074443817,22.4815895,0.672248704,1281.450602 +11238,MN,819,7503,105,54,1004,2,3,10011,E014,13,15,5700,1,5, ,32 WEST 18 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,6900,73288,8685,64603,0,8685,0,0,0,0,2,1,12,21,23,75,92,75,84, ,2,N,5,5,2204998,12179248,2360,2360,1908,0,0,Ladies' Mile Historic District, ,10.62,10,10,10,1,1008197503,1693,54,985963,208558,8d, ,102 041,10306, ,1008190062,6/8/2007,1, , ,17V1.1,7,346.3805655,7354.567796,9974250,7,0,11237,11239,31,6975,32.36888886,35.80110931,3.432220459,32.65852319,0.890353557,1012.414219 +11239,MN,824,47,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,14 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0,P,GRAMERCY ARMS LLC,2652,11507,11507,0,9407,2100,0,0,0,0,2,1,6,0,5,27.33,98.75,27,99,E,3,N,5,2,445500,848700,0,0,1910,0,0,Ladies' Mile Historic District, ,4.34,10,10,10,1,1008240047,0,58,986916,209452,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,255.9214578,2805.765516,403200,2,0,11238,11240,12,2700,34.46500015,39.42111206,4.956111908,34.97050953,1.376247006,419.6461143 +11240,MN,179,50,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3A,17 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,C0,2,0, ,17 LEONARD PROPERTIES,2279,6400,0,6400,0,0,0,0,0,0,2,1,3,3,3,25.17,91.83,25.17,90,E,3,Y,5,5,100775,225220,0,0,1920,0,0,Tribeca West Historic District, ,2.81,6.02,6,6.5,1,1001790050,0,33,982086,201163,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,240.8279628,2495.167972,124445,14,1,11239,11241,12,2700,10.17444515,11.47788906,1.303443909,10.28306548,0.360252865,123.3967857 +11241,MN,376,53,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,721 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,721 EAST 6TH ST HDFC,2301,9590,0,9590,0,0,0,0,0,0,2,1,5,12,12,25.33,90.83,25,76, ,2,N,5,0,90000,790650,90000,790650,1900,1990,0, , ,4.17,4,0,4,1,1003760053,0,2602,990318,202771,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,237.4382782,2384.474887,700650,12,1,11240,11242,11,2475,7.864444256,10.97777748,3.113333225,8.147474549,0.895020373,89.62222004 +11242,MN,844,32,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,18 EAST 17 STREET,M1-5M, , , , , , , , , ,N,O6,5,0,P,"18 E 17TH ST OWNERS,I",2300,17004,17004,0,14904,2100,0,0,0,0,2,1,8,0,8,25,92,25,89, ,3,N,5,2,450000,1423350,0,0,1900,0,0,Ladies' Mile Historic District, ,7.39,0,5,6.5,1,1008440032,0,52,986656,207895,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,239.3865845,2474.290345,973350,7,0,11241,11243,11,2475,41.19499969,41.60610962,0.411109924,41.23237332,0.118185794,453.5561066 +11243,MN,744,15,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,343 WEST 20 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,343 WEST 20TH STREET,1840,3200,0,3200,0,0,0,0,0,0,2,1,4,8,8,20,92,20,39, ,3,N,5,1,66470,452466,0,0,1900,0,0,Chelsea Historic District, ,1.74,3,0,3,1,1007440015,0,89,983802,210482,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,225.6642123,1846.319029,385996,7,0,11242,11244,8,1800,15.84222221,15.84222221,0,15.84222221,0,126.7377777 +11244,MN,509,32,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,281 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C4,2,0, ,R F S C INC,1828,5240,0,5240,0,0,0,0,0,0,2,1,5,8,8,20,91.42,20,50, ,3,N,5,1,22532,88094,0,0,1910,0,0, , ,2.87,6.02,6,6.5,1,1005090032,0,43,985720,203090,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,231.2153064,1920.670366,65562,9,0,11243,11245,9,2025,42.24222183,46.24222183,4,43.7374933,1.737081011,393.6374397 +11245,MN,744,46,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,308 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"PROLIFIA, LLC",2300,8125,0,8125,0,0,0,0,0,0,2,2,5,19,19,25,92,25,67, ,3,N,5,2,137700,1211850,0,0,1900,1988,2013, , ,3.53,3,0,3,1,1007440046,0,89,984187,210377,8d, ,103 038,10303, ,1007440046,4/12/2012,1, , ,17V1.1,0,244.3034128,2507.485753,1074150,7,0,11244,11246,11,2475,15.84222221,21.24555588,5.403333664,16.33343437,1.553349212,179.667778 +11246,MN,508,35,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,253 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"253 ELIZABETH REALTY,",1772,8740,1400,7340,0,1400,0,0,0,0,2,1,6,8,9,20,88.58,20,77, ,3,N,5,2,42369,246188,0,0,1910,2006,2006, , ,4.93,6.02,6,6.5,1,1005080035,0,43,985904,202919,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,227.7129109,1919.562664,203819,9,0,11245,11247,9,2025,43.06000137,44.87400055,1.813999176,44.47088962,0.754151491,400.2380066 +11247,MN,496,15,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,68 PRINCE STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,68 PRINCE STREET LLC,1067,2385,787,1598,0,787,0,0,0,0,2,1,3,2,3,20,53.33,20,34, ,3,N,5,5,17275,52750,0,0,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,2.24,0,5,6.5,1,1004960015,0,43,985116,202936,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,153.4723848,1180.701205,35475,0,0,11246,11248,5,1125,37.76699829,37.76699829,0,37.76699829,0,188.8349915 +11248,MN,745,23,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,321 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,317-321 WEST 21 ST AS,2469,13050,0,13050,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,86, ,3,N,5,2,149850,627750,0,0,1900,1973,0, , ,5.29,3,0,3,1,1007450023,0,89,984131,210584,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,252.8847041,2404.096302,477900,7,0,11247,11249,11,2475,15.97222233,20.04999924,4.077776909,16.34292932,1.172278438,179.7722225 +11249,MN,343,62,103,12,1000,1,1,10002,L018,7,14,7600,1,3,2A,63 PITT STREET,R8A, , , , , , , , , ,N,C6,2,0,P,63 PITT STREET OWNERS,2517,10070,0,10070,0,0,0,0,0,0,2,1,5,16,16,25.17,100,25.17,80, ,0,N,5,5,135000,993150,0,0,1920,1992,0, , ,4,6,0,6,1,1003430062,0,12,988947,200830,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,257.6343767,2574.017954,858150,13,0,11248,11250,11,2475,19.3544445,20.09111214,0.736667633,19.45444454,0.22657325,213.9988899 +11250,MN,474,7503,102,47,2011,2,1,10013,E055,1,15,6800,1,2, ,47 MERCER STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5017,31000,7500,23500,0,7500,0,0,0,0,2,1,7,5,6,50.17,100,50,85, ,0,N,0,5,258879,3392664,0,0,1880,0,0,SoHo-Cast Iron Historic District, ,6.18,0,5,6.5,1,1004747503,985,47,983880,202233,12a, ,101N070,10206, ,1004740016,12/10/1997,1, , ,17V1.1,7,306.2777124,5146.675266,3133790,0,0,11249,11251,23,5175,14.17000008,16.59799957,2.427999496,14.27556527,0.495144657,328.3380013 +11251,MN,625,10,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,619 HUDSON STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"MOODY,ANTHONY,P",1012,2820,400,2420,0,400,0,0,0,0,2,1,4,2,3,18,54.42,18,36, ,3,Y,5,5,17584,51092,0,0,1900,1985,0,Greenwich Village Historic District, ,2.79,3.44,2,6.5,1,1006250010,0,79,982622,208151,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,147.6938679,1037.687901,33508,8,0,11250,11252,4,900,15.4800005,15.4800005,0,15.4800005,0,61.92000198 +11252,MN,499,3,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,96 GREENE STREET,M1-5A, , , , , , , , , ,N,S4,4,0,P,96 GREENE STREET LLC,2500,10634,2294,8340,0,2294,0,0,0,0,2,1,5,4,5,25,100,25,93,E,2,N,5,2,486000,1438560,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,4.25,0,5,6.5,1,1004990003,0,49,984310,203091,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.3467664,2634.627415,952560,0,0,11251,11253,11,2475,22.35555458,24.70888901,2.353334427,22.56949407,0.67653608,248.2644348 +11253,MN,199,23,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,79 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"LEX SHAN REALTY CO.,",2500,8600,1200,7400,0,1200,0,0,0,0,2,2,5,16,17,25,100,25,48, ,0,N,5,2,114300,343800,0,0,1880,0,0, , ,3.44,3.44,6,6.5,1,1001990023,0,29,984451,200305,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,255.7241068,2571.608503,229500,14,0,11252,11254,12,2700,22.37599945,22.37599945,0,22.37599945,0,268.5119934 +11254,MN,717,19,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,401 WEST 19 STREET,R8, , , ,C2-5, , , , , ,N,D1,3,0,O,NYC HOUSING AUTHORITY,29275,45420,0,45420,0,0,0,0,0,0,2,1,7,36,36,375,78.83,160,48, ,1,Y,3,2,1075500,3533850,1075500,3533850,1965,1987,0, , ,1.55,6.02,0,6.5,1,1007170019,0,89,983215,210520,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,920.9413878,30089.5956,2458350,7,1,11253,11255,134,30150,9.621110916,16.95999908,7.338888168,14.15046093,1.091451128,1896.161765 +11255,MN,280,44,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,33 EAST BROADWAY,C6-1G, , , , , , , , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,3750,10635,10635,0,0,0,0,0,0,10635,2,1,4,0,1,50,75,50,67,E,3,N,5,2,769500,1310850,769500,1310850,1903,0,0, ,"NEW YORK PUBLIC LIBRARY, CHATHAM SQ",2.84,3.44,6,6.5,1,1002800044,0,8,985223,199158,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,257.1936212,3924.98442,541350,16,0,11254,11256,18,4050,29.04899979,36.54777908,7.498779297,29.94313558,2.281863157,538.9764404 +11256,MN,419,66,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,135 ELDRIDGE STREET,C6-2A,C4-4A, , , , , , , , ,Y,C7,4,0, ,ELDRIDGE ASSOCIATES L,5050,21648,2800,18848,0,2800,0,0,0,0,2,1,6,28,30,50.5,100,50,88, ,3,N,5,2,202500,1201500,0,0,1900,2015,2015, , ,4.29,6.02,6,6.5,1,1004190066,0,18,986534,201269,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,307.524007,5272.426795,999000,13,0,11255,11257,23,5175,39.86888886,40.47611237,0.607223511,39.89528988,0.123831771,917.5916672 +11257,MN,402,43,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,94 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S9,4,0,P,MANHATTAN EXECUTIVE R,1552,5016,1000,4016,0,1000,0,0,0,0,2,2,5,6,8,22.17,70,22,70,E,3,N,3,2,228242,404467,0,0,1900,1981,2000, , ,3.23,4,0,4,1,1004020043,0,32,989303,203294,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,189.7213094,1600.557412,176225,1,0,11256,11258,8,1800,12.85000038,12.85000038,0,12.85000038,0,102.8000031 +11258,MN,874,32,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,147 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,18 IS ROSIE LLC,1733,3204,0,3204,0,0,0,0,0,0,2,1,4,3,3,18.83,92,18.83,50, ,2,N,5,0,59560,148178,0,0,1910,0,0,Gramercy Park Historic District, ,1.85,4,0,4,1,1008740032,0,50,988133,207526,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,223.1176938,1628.047494,88618,5,0,11257,11259,7,1575,27.68333435,31.53999901,3.856664658,29.09111132,1.64848948,203.6377792 +11259,MN,802,26,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,121 WEST 26 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,CWI OP LP,6476,64764,0,0,0,0,0,0,0,0,2,1,24,0,1,65.58,98.75,65.58,60, ,0,N,5,5,5850000,18970650,0,0,2006,0,0, , ,10,0,10,10,1,1008020026,0,95,986397,210845,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,327.9750033,6343.843485,13120700,2,0,11258,11260,29,6525,32.50999832,39.27333069,6.763332367,35.24393766,3.042411536,1022.074192 +11260,MN,603,71,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,449 1/2 HUDSON STREET,C1-6, , , , , , , , , ,N,A5,1,0, ,"KEENA, B. WILLIAM",840,1736,0,1736,0,0,0,0,0,0,2,1,3,1,1,12.5,67.29,12.5,44.25, ,2,Y,5,2,29070,90117,0,0,1860,0,0,Greenwich Village Historic District, ,2.07,3.44,2,6.5,1,1006030071,0,69,982315,205664,12a, ,103 002,10208, ,1006030072,3/7/2008,1, , ,17V1.1,0,161.6252989,907.9731226,61047,9,0,11259,11261,4,900,15.32666683,17.24444389,1.917777061,15.8061111,0.830421827,63.22444439 +11261,MN,778,28,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,221 WEST 28 STREET,M1-6D, , , , , , , , , ,N,C4,2,0,P,215 WEST 28TH STREET,2460,11538,1900,9638,0,1900,0,0,0,0,2,1,6,22,24,24.92,98.75,25,82, ,2,N,5,2,193950,1408050,0,0,1920,1988,0, , ,4.69,10,10,10,1,1007780028,0,95,985833,211744,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,269.2373084,2898.317348,1214100,2,0,11260,11262,12,2700,28.45999908,28.45999908,0,28.45999908,0,341.519989 +11262,MN,282,29,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,97 EAST BROADWAY,C6-1G, , , , , , , , , ,N,S9,4,0, ,"LISA GATTO, TEE",2417,6105,2025,4080,0,2025,0,0,0,0,2,1,4,3,5,25,100,25,54, ,3,Y,5,5,98748,172025,0,0,1910,0,0, , ,2.53,3.44,6,6.5,1,1002820029,0,8,986071,199240,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,255.6538632,2443.503666,73277,16,0,11261,11263,11,2475,34.88000107,39.35110855,4.471107483,36.38040439,1.992448476,400.1844482 +11263,MN,528,27,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,58 DOWNING STREET,R6, , , , , , , , , ,N,A9,1,0, ,"SYMON, MICHAEL",1067,1920,0,1920,0,0,0,0,0,0,2,1,3,1,1,16.5,64.67,16.5,32, ,3,N,5,2,29806,105296,0,0,1899,0,0, , ,1.8,2.43,0,4.8,1,1005280027,0,67,982967,204831,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,165.7551114,1120.189837,75490,9,0,11262,11264,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +11264,MN,772,38,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,213 WEST 22 STREET,R8B, , , , , , , , , ,N,B1,1,0, ,THE DAVENPORT FAMILY,1199,2448,0,2448,0,0,0,0,0,0,2,1,3,2,2,15,78.75,15,56, ,3,Y,5,2,48925,97078,0,0,1901,0,0, , ,2.04,4,0,4,1,1007720038,0,91,985217,210265,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,190.4004373,1246.885978,48153,2,0,11263,11265,6,1350,22.16600037,23.57111168,1.405111313,22.51718553,0.536525119,135.1031132 +11265,MN,826,69,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,48 WEST 25 STREET,C6-4X,M1-6, , , , , , , , ,Y,L2,6,0,P,48 WEST 25TH ST. LLC,9529,97554,97554,0,0,18000,0,79554,0,0,2,1,12,0,13,96.5,98.75,93,97, ,2,N,5,2,2641500,10180350,0,0,1920,1985,0, , ,10.24,10,10,10,1,1008260069,0,58,986637,210238,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,394.636378,9727.583226,7538850,2,0,11264,11266,43,9675,33.45800018,39.99000168,6.532001495,33.82183483,1.362327204,1454.338898 +11266,MN,497,18,102,43,3004,2,1,10012,L020,5,15,6800,1,2,1A,560 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0,P,"560 ASSOCIATES, L.L.C",21150,122454,122454,0,103054,19400,0,0,0,0,2,1,6,0,42,98.08,200,98,196, ,2,Y,3,2,4770000,35400600,0,0,1900,2016,2015,SoHo-Cast Iron Historic District, ,5.79,0,5,6.5,1,1004970018,0,43,984944,203001,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,631.4488185,22302.67427,30630600,0,0,11265,11267,98,22050,31.61100006,38.0644455,6.453445435,32.43104993,1.955534632,3178.242893 +11267,MN,451,46,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,331 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,KUSHNER VILLAGE 329 E,2306,7619,1140,6479,0,1140,0,0,0,0,2,1,5,9,11,25,92.25,25,60, ,3,N,5,2,90000,994500,0,0,1900,0,0, , ,3.3,4,0,4,1,1004510046,0,40,988204,204793,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.1074714,2328.416823,904500,12,0,11266,11268,11,2475,23.10400009,27.65777779,4.553777695,24.99204029,2.080210146,274.9124432 +11268,MN,607,32,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,120 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"LEWNOWSKI, OSKAR",2375,5520,0,4140,0,0,0,0,0,0,2,1,3,1,1,23,103.25,23,60, ,3,N,5,1,102260,452271,0,0,1915,1988,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1006070032,0,71,984598,207483,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,254.9337482,2407.008385,350011,8,0,11267,11269,10,2250,21.80333328,25.90888786,4.105554581,22.47988873,1.308339776,224.7988873 +11269,MN,283,40,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,129 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,GOLDEN VALUE REALTY C,4153,10994,3244,7750,0,3244,0,0,0,0,2,1,6,10,12,47,87.5,23,86, ,2,Y,5,2,234000,533700,0,0,1900,0,0, , ,2.65,3.44,0,6.5,1,1002830040,0,6,986513,199294,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,274.6249589,4127.079631,299700,16,0,11268,11270,19,4275,37.32899857,39.29666519,1.967666626,38.15873618,0.814271113,725.0159874 +11270,MN,827,17,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,29 WEST 25 STREET,M1-6, , , , , , , , , ,N,G6,10,0, ,L & M 25TH STREET,9890,48,0,0,0,0,0,0,0,0,2,1,0,0,0,75,197.5,0,0, ,0,Y,4,5,1780200,1781550,0,0,0,0,0, , ,0,0,10,10,1,1008270017,0,58,986926,210269,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,547.6101059,9562.69075,1350,2,0,11269,11271,43,9675,38.00333405,44.8488884,6.845554352,42.85139288,1.170948366,1842.609894 +11271,MN,722,13,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,443 WEST 24 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,443-445 W 24TH ST.COR,4115,9326,0,9326,0,0,0,0,0,0,2,2,3,9,9,41.67,98.75,42,52, ,3,N,5,1,182372,848718,9440,9440,1900,1984,0, ,443-445 WEST 24TH STREET HOUSE,2.27,3,0,3,1,1007220013,0,93,983543,211837,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,290.7537735,4373.926562,666346,2,1,11270,11272,20,4500,10.68099976,12.30000019,1.619000435,10.8408998,0.431320401,216.817996 +11272,MN,615,25,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,244 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0,P,KATZ MARIE CHRISTINE,1488,3416,0,2619,0,0,0,0,0,0,2,1,3,1,1,19,78.33,19,54,E,3,Y,5,1,38384,243218,0,0,1910,2000,0,Greenwich Village Historic District, ,2.3,2.43,0,4.8,1,1006150025,0,77,983573,207952,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,198.9143107,1504.14143,204834,8,0,11271,11273,6,1350,23.05999947,24.90777779,1.84777832,23.41629601,0.675364335,140.497776 +11273,MN,625,59,102,77,4001,2,3,10014,L005,6,15,6100,1,2,3B,40 8 AVENUE,C1-6, , , , , , , , , ,N,S2,4,0, ,38 EIGHTH AVENUE REAL,748,1919,633,1286,0,633,0,0,0,0,2,1,3,2,3,14.58,22,14.58,22, ,3,Y,5,5,23140,74553,0,0,1900,0,0,Greenwich Village Historic District, ,2.57,3.44,2,6.5,1,1006250059,0,77,983141,208162,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,118.7563707,766.7053499,51413,8,0,11272,11274,3,675,20.9066658,21.68655586,0.77989006,21.16662916,0.3676437,63.49988747 +11274,MN,558,29,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,102 3 AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,102 THIRD AVE LLC,1290,4835,800,4035,0,800,0,0,0,0,2,1,5,4,5,21.5,60,22,44, ,3,N,5,5,219096,573420,0,0,1900,0,0, , ,3.75,6.02,6,6.5,1,1005580029,0,42,987561,206160,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,167.3652137,1330.501572,354324,12,0,11273,11275,5,1125,38.19900131,38.19900131,0,38.19900131,0,190.9950066 +11275,MN,445,31,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,61 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,EIGHT COOPER EQUITIES,1776,8895,1776,7119,0,1776,0,0,0,0,2,1,5,16,17,24,74,24,72, ,3,N,3,2,225000,1246500,0,0,1900,0,0, , ,5.01,4,0,4,1,1004450031,0,38,987742,203489,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,204.6364399,1991.883198,1021500,1,0,11274,11276,9,2025,29.97444344,31.32111168,1.346668243,30.49677743,0.594383678,274.4709969 +11276,MN,411,50,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,154 LUDLOW STREET,C4-4A, , , , , , , , , ,N,L8,6,0, ,EAST FARTHING REALTY,6675,23250,23250,0,15400,7850,0,0,0,0,2,1,5,0,9,75,89,75,86,E,2,N,5,2,603000,2900700,0,0,1920,2004,2015, , ,3.48,4,4,4,1,1004110050,0,3001,987671,201934,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,333.2256234,6889.038812,2297700,1,0,11275,11277,29,6525,30.50799942,32.76644516,2.25844574,30.58587686,0.412088674,886.9904289 +11277,MN,540,11,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,124 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,124 MACDOUGAL STREET,2500,11170,3200,7970,0,3200,0,0,0,0,2,1,5,18,22,25,100,25,88, ,3,N,5,2,254700,1993950,0,0,1910,1967,0,South Village Historic District, ,4.47,3.44,0,6.5,1,1005400011,0,65,984181,205201,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,257.6945252,2650.522639,1739250,9,0,11276,11278,12,2700,22.5755558,23.76744461,1.191888809,22.67487987,0.329420664,272.0985584 +11278,MN,720,2,104,93,7000,2,3,10011,E003,10,15,5200,1,4,1B,491 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,C1,2,0, ,491 CHELSEA APARTMENT,1547,4150,0,4150,0,0,0,0,0,0,2,1,4,7,7,15.67,98.75,16,52, ,3,N,5,1,62886,257049,0,0,1900,1970,1997,Chelsea Historic District Extension, ,2.68,3,0,3,1,1007200002,0,93,983063,211473,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,221.8708854,1573.014447,194163,2,1,11277,11279,7,1575,9.369999886,9.369999886,0,9.369999886,0,65.5899992 +11279,MN,746,23,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,325 WEST 22 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,REGIER HILDA,2222,3960,0,3960,0,0,0,0,0,0,2,1,3,4,4,22.5,98.75,23,42,E,3,N,5,5,146011,244715,2360,2360,1910,0,0,Chelsea Historic District Extension, ,1.78,3,0,3,1,1007460023,0,93,984236,210820,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,243.7818329,2140.081474,98704,2,0,11278,11280,9,2025,15.97222233,19.72999954,3.757777214,17.47345659,1.691378901,157.2611094 +11280,MN,744,6,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,361 WEST 20 STREET,C2-6A, , , , , , , , , ,N,C1,2,0,P,361 WEST 20TH STREET,1591,4407,0,4407,0,0,0,0,0,0,2,1,3.5,8,8,21.5,74,22,45, ,3,N,5,1,68318,318500,0,0,1900,0,0,Chelsea Historic District, ,2.77,4,2,4,1,1007440006,0,89,983646,210560,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,197.0740297,1569.702722,250182,7,0,11279,11281,5,1125,15.84222221,15.84222221,0,15.84222221,0,79.21111107 +11281,MN,717,53,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,418 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C2,2,0, ,DOMOV,2227,5230,0,5230,0,0,0,0,0,0,2,1,3.5,5,5,21.42,104,21,42, ,3,N,5,5,38513,426106,0,0,1910,2009,0,Chelsea Historic District, ,2.35,3,0,3,1,1007170053,0,89,983189,210643,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,254.2890803,2129.438839,387593,7,1,11280,11282,10,2250,9.621110916,15.08222198,5.461111069,11.72383327,1.903030147,117.2383327 +11282,MN,632,59,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,117A CHARLES STREET,C1-6,R6, , , , , , , , ,Y,A1,1,0, ,"117-A CHARLES STREET,",995,1000,0,1000,0,0,0,0,0,0,2,1,2,1,1,25.05,39.75,25,20, ,3,Y,6,4,33972,82709,0,0,1910,0,0,Greenwich Village Historic District, ,1.01,3.44,2,6.5,1,1006320059,0,75,982404,206933,12a, ,103 012,10210, ,1006320057,10/6/1997,1, , ,17V1.1,0,133.6613326,1000.156077,48737,9,0,11281,11283,4,900,19.34666634,19.34666634,0,19.34666634,0,77.38666534 +11283,MN,792,12,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,141 WEST 16 STREET,R8A, , , , , , , , , ,N,D1,3,0, ,141 WEST 16 ASSOCIATE,8284,34662,0,34662,0,0,0,0,0,0,2,1,6,49,49,90.33,92,90,78, ,3,N,5,2,486000,3456450,0,2300365,1940,1987,1998, , ,4.18,6,0,6,1,1007920012,0,81,984908,208752,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,371.002788,8601.491918,2970450,7,0,11282,11284,39,8775,27.66555595,31.96111107,4.295555115,27.77569839,0.678963592,1083.252237 +11284,MN,161,3,103,29, ,2,1,10038,E006,5,15,7700,1,3,1A, PARK ROW,C6-1, , , , , , , , , ,N,Z1,8,0,O,THE CITY OF NEW YORK,7811,486065,486065,0,0,0,0,0,0,486065,2,1,27,0,1,32.17,359,150,250, ,1,Y,5,2,1554300,71888850,1554300,71888850,1992,0,0, , ,62.23,3.44,6,6.5,1,1001610003,0,29,0,0,12d, ,101S026,10105, ,0, ,1, , ,17V1.1,0,724.7419177,6850.542813,70334600,16,0,11283,11285,31,6975,17.31122208,23.04444504,5.733222961,19.83760194,1.730900715,614.9656601 +11285,MN,724,1,104,97,2002,2,3,10001,E003,10,15,5500,1,4,2B,278 10 AVENUE,R8, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,45000,159200,0,159200,0,0,0,0,0,0,2,3,12,162,162,257.42,215.58,80.83,120.83, ,1,Y,3,2,1800000,16129350,1800000,16129350,1946,0,0, , ,3.54,6.02,0,6.5,1,1007240001,0,97,983671,212425,8b, ,105S006,10302, ,0, ,1, , ,17V1.1,0,883.6949977,44771.0295,14329400,2,0,11284,11286,199,44775,13.08888912,17.07666588,3.987776756,14.09554006,1.277564583,2805.012471 +11286,MN,193,19,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,291 CHURCH STREET,C6-2A, , , , , , , , , ,N,A4,1,0, ,NANCY L WENDER,1273,5000,0,5000,0,0,0,0,0,0,2,1,4,1,1,25.17,50.5,25.17,44,E,3,N,5,2,48520,123482,0,0,1915,0,0,Tribeca East Historic District, ,3.93,6.02,6,6.5,1,1001930019,0,33,983022,201237,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,156.9995908,1340.322972,74962,14,0,11285,11287,7,1575,13.68111134,13.68111134,0,13.68111134,0,95.76777935 +11287,MN,512,7503,102,49,1003,2,1,10012,L020,1,15,6800,1,2, ,597 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, ,BROADWAY MERCER CONDO,5000,29057,14957,14100,4158,10545,0,0,0,254,2,1,5,7,14,20,200,0,0, ,0,N,5,5,1034998,3675150,2360,2360,1900,1988,0,SoHo-Cast Iron Historic District, ,5.81,0,5,6.5,1,1005127503,603,49,984950,203527,12c, ,101N072,10206, ,1005120013,2/11/1989,1, , ,17V1.1,7,467.4294332,5351.557968,2640150,9,0,11286,11288,23,5175,36.38299942,36.66888809,0.285888672,36.39542936,0.058301597,837.0948753 +11288,MN,401,59,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,509 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,C.K.C. ASSOCIATES,2425,6545,0,6545,0,0,0,0,0,0,2,1,5,15,15,25,97,25,48,E,3,N,5,2,180000,520650,0,0,1900,0,0, , ,2.7,3,0,3,1,1004010059,0,32,988766,203344,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,253.4408718,2584.440125,340650,1,0,11287,11289,12,2700,14.20666695,17.37333298,3.166666031,15.64064837,1.451685433,187.6877804 +11289,MN,557,14,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,816 BROADWAY,C6-1, , , , , , , , , ,N,L8,6,0, ,812-816 BROADWAY LLC,2508,8630,8630,0,0,2900,0,5730,0,0,2,1,4,0,4,25.08,100,25.08,66, ,3,N,5,1,197550,1024200,0,0,1910,0,0, , ,3.44,3.44,6,6.5,1,1005570014,0,61,986771,206238,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,249.4069588,2445.547607,826650,8,0,11288,11290,10,2250,41.29888916,41.29888916,0,41.29888916,0,412.9888916 +11290,MN,283,66,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,150 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,"150 E. BROADWAY NY, L",1544,6225,1245,4980,0,1245,0,0,0,0,2,1,5,7,9,25,61.83,25,48, ,3,Y,5,2,126840,320322,0,0,1910,0,0, , ,4.03,6.02,6,6.5,1,1002830066,0,6,986759,199469,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,174.445839,1581.433951,193482,16,0,11289,11291,9,2025,32.80699921,36.4366684,3.629669189,33.63506148,1.323172774,302.7155533 +11291,MN,790,1,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,61 7 AVENUE,C6-2A,C6-3A, , , , , , , , ,Y,D4,3,0, ,THE VERMEER OWNERS IN,25812,371863,40708,331155,0,19708,20000,0,0,1000,2,1,21,354,361,206.5,150,207,140, ,1,Y,3,2,4333500,30963150,881496,881496,1963,0,0, , ,14.41,6.02,6,6.5,1,1007900001,0,81,984497,208433,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,730.6121879,27206.44073,26629700,7,0,11290,11292,120,27000,27.73777771,28.57222176,0.834444046,27.80496844,0.193700025,3336.596212 +11292,MN,348,14,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,149 RIVINGTON STREET,R7A, , , , , , , , , ,N,S2,4,0, ,SILVERSHORE PROPERTIE,971,3500,1550,1950,1550,0,0,0,0,0,2,1,3,2,3,18.67,52,18.67,43, ,0,N,5,5,24037,47888,0,0,1910,2007,0, , ,3.6,4,0,4,1,1003480014,0,1402,988185,201285,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,148.5786625,1058.490532,23851,13,0,11291,11293,5,1125,24.76333427,26.69111061,1.927776337,25.14888954,0.771110535,125.7444477 +11293,MN,402,42,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,96 AVENUE B,R7A, , , ,C1-5, , , , , ,N,K2,5,0,P,"AVENUE REALTY, LLC",1400,2450,2450,0,0,2450,0,0,0,0,2,1,2,1,2,20,70,20,46, ,0,N,5,5,63000,324450,0,0,1901,0,0, , ,1.75,4,0,4,1,1004020042,0,32,989314,203313,12c, ,102 021,10203,E-216,0, ,1, , ,17V1.1,0,188.595982,1561.203985,261450,1,0,11292,11294,7,1575,12.85000038,12.85000038,0,12.85000038,0,89.95000267 +11294,MN,615,44,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,17 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,17 BANK STREET LLC,1965,5485,0,4403,0,0,0,0,0,0,2,1,5,1,1,21.83,90,22,54,E,3,N,5,1,176831,451732,0,0,1915,1987,2011,Greenwich Village Historic District, ,2.79,2.43,0,4.8,1,1006150044,0,77,983542,207858,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,233.6087217,2150.183915,274901,8,0,11293,11295,10,2250,23.05999947,27.69666672,4.636667252,24.01988869,1.74528099,240.1988869 +11295,MN,589,29,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,329 AVENUE OF THE AMER,R7-2,R6, , ,C1-5, , , , , ,Y,C7,4,0,P,SIX & CORNELIA ASSOC,2700,11208,1570,9638,0,1570,0,0,0,0,2,3,5,22,25,25,99,25,68, ,0,Y,4,2,391500,1669050,0,0,1900,1984,2012,Greenwich Village Historic District Exte, ,4.15,3.44,0,6.5,1,1005890029,0,67,983809,205739,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,275.304301,2745.741018,1277550,9,0,11294,11296,10,2250,15.87222195,19.69000053,3.817778587,16.25399981,1.145333576,162.5399981 +11296,MN,741,8,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,351 WEST 17 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,351 W 17 LLC,2085,6216,0,6216,0,0,0,0,0,0,2,1,4,4,4,22.67,92,23,48, ,3,N,5,1,26663,358960,0,0,1900,2008,2014, , ,2.98,4,0,4,1,1007410008,0,83,983392,209873,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,235.4528849,2181.626078,332297,7,0,11295,11297,11,2475,15.59444427,16.58555603,0.991111755,15.85414106,0.424407166,174.3955517 +11297,MN,455,39,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,225 1 AVENUE,C1-7A, , , , , , , , , ,N,S3,4,0, ,"SOSOCAM, LLC",1620,4180,750,3430,0,750,0,0,0,0,2,1,4,3,4,20.42,80,20,80,E,3,Y,5,5,247785,368111,0,0,1920,0,0, , ,2.58,6.02,2,6.5,1,1004550039,0,40,988913,205609,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,206.4131926,1663.728617,120326,12,0,11296,11298,8,1800,22.17099953,22.17099953,0,22.17099953,0,177.3679962 +11298,MN,923,61,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,304 EAST 18 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,NORTHERN VALLEY PROPE,1716,4437,0,4437,0,0,0,0,0,0,2,1,3,3,3,22,78,22,50, ,3,N,5,5,135533,180160,0,0,1901,0,0, , ,2.59,3,0,3,1,1009230061,0,48,989046,206859,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,198.6371407,1663.682139,44627,5,0,11297,11299,8,1800,16.06999969,20.27999878,4.209999084,16.91041613,1.516184918,135.283329 +11299,MN,562,11,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,54 EAST 11 STREET,C6-1, , , , , , , , , ,N,D0,3,0, ,ATHENIUM HOUSE CORP,2368,24880,2300,22580,0,2300,0,0,0,0,2,1,11,10,11,25,94.75,25,94, ,3,N,5,2,103050,2310750,11800,11800,1902,1983,0, , ,10.51,3.44,6,6.5,1,1005620011,0,61,986264,206263,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,248.3596278,2415.765549,2207700,8,0,11298,11300,10,2250,34.39444351,39.30888748,4.91444397,34.88588791,1.474333191,348.8588791 +11300,MN,922,70,106,48,5000,2,2,10003,E005,13,14,5900,1,6,1A,295 1 AVENUE,C1-8,R8A, , , , , , , , ,Y,D3,3,0,P,BETH ISRAEL MEDICAL C,15456,98260,0,98260,0,0,0,0,0,0,2,1,19,148,148,92,168,74,78, ,2,N,3,0,1800000,10260900,1782000,10158292,1963,0,0, , ,6.36,7.52,2,10,1,1009220070,0,48,989316,206422,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,540.9308409,16679.53961,8460900,5,0,11299,11301,73,16425,16.35333252,19.4711113,3.117778778,16.59560055,0.598511282,1211.47884 +11301,MN,481,18,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,56 SPRING STREET,C6-2, , , , , ,LI, , , ,N,D7,4,0,P,SPRING 56 REALTY,2285,10290,2400,7890,0,2400,0,0,0,0,2,1,7,6,7,25.17,96.83,25,96, ,3,Y,5,2,42355,811783,0,0,1935,2007,0, , ,4.5,6.02,6,6.5,1,1004810018,0,41,985141,202302,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,248.3474621,2444.075203,769428,0,0,11300,11302,11,2475,35.01599884,38.42222214,3.406223297,35.88529171,1.31751535,394.7382088 +11302,MN,390,23,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,330 EAST 8 STREET,R8B, , , , , , , , , ,N,S2,4,0, ,HUNSTEIN PETER D,2153,5258,2134,3124,0,0,2134,0,0,0,2,1,2.5,2,3,22.08,97.5,22,97, ,2,N,5,0,35159,49389,0,0,1956,1959,1997, , ,2.44,4,0,4,1,1003900023,0,2602,989977,203354,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,241.2919602,2177.503001,14230,12,1,11301,11303,10,2250,7.409999847,9.180000305,1.770000458,7.737333202,0.657376662,77.37333202 +11303,MN,530,7501,102,55.02,1001,2,1,10012,L009,9,15,5700,2,2, ,30 BOND STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2692,16749,2393,14356,0,2393,0,0,0,0,2,1,7,6,7,26.67,100,0,0, ,0,N,5,5,56879,787001,4720,4720,1900,0,0,NoHo Historic District Extension, ,6.22,0,5,6.5,1,1005307501,471,5502,986079,203977,12c, ,103 010,10207, ,1005300053,2/8/1988,1, , ,17V1.1,7,260.3073463,2802.089803,730122,9,0,11302,11304,11,2475,43.14099884,43.14099884,0,43.14099884,0,474.5509872 +11304,MN,570,14,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,18 EAST 13 STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,VILLAGE COPIER MANAGE,1787,5072,1000,4072,0,1000,0,0,0,0,2,1,5,9,10,22,83.92,22,55, ,3,Y,5,2,197455,555695,0,0,1900,1981,0, , ,2.84,3.44,6,6.5,1,1005700014,0,61,986111,206965,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,215.4678868,1868.193588,358240,8,0,11303,11305,8,1800,33.2820015,35.26688766,1.984886169,33.53011227,0.656439398,268.2408981 +11305,MN,829,1,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,796 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,D7,4,0, ,ASN ASTON LLC,18762,293978,29874,264104,0,18704,11170,0,0,0,2,1,36,266,273,197.5,100,197.5,100, ,2,Y,3,2,9540000,40195800,6144060,36799860,2003,2004,0, , ,15.67,10,10,10,1,1008290001,0,58,986898,210915,8d, ,104 002,10306,E-66,1008290001,9/9/2008,1, , ,17V1.1,0,608.010481,19587.53226,30655800,2,0,11304,11306,88,19800,42.75111008,44.80222321,2.051113129,42.82628189,0.285664522,3768.712807 +11306,MN,571,1,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,2 EAST 14 STREET,C6-4,C6-4M,C6-1, , , , , , , ,Y,H8,8,0,P,THE NEW SCHOOL,30150,367378,8080,0,0,8080,0,0,0,0,2,1,17,148,149,142,206.5,212,139, ,2,Y,3,2,6750000,36160650,6615000,35437437,2011,0,0, , ,12.19,10,10,10,1,1005710001,0,61,986048,207230,12c, ,103 022,10207, ,0, ,1, , 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,17V1.1,0,238.9592493,2238.073843,198000,8,0,11307,11309,11,2475,14.98200035,16.03000069,1.048000336,15.07727311,0.301278914,165.8500042 +11309,MN,542,25,102,65,3000,2,1,10014,L009,6,15,5700,1,2,2A,290 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,D4,3,1,P,290 TENNANTS CORP,11250,54924,0,54924,0,0,0,0,0,0,2,1,6,65,65,53.92,78.25,50,119, ,1,Y,4,2,643500,5723550,33040,33040,1941,1983,0,South Village Historic District, ,4.88,3.44,0,6.5,1,1005420025,0,65,983805,205244,12a, ,103 006,10207, ,0, ,1, , ,17V1.1,0,442.9715937,11784.47526,5080050,9,0,11308,11310,54,12150,18.37666702,20.51000023,2.133333206,18.47230487,0.386048292,997.5044632 +11310,MN,344,63,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,97 PITT STREET,R7A, , , , , , , , , ,N,C7,4,0,P,97 PITT STREET LLC,2810,9805,800,9005,0,800,0,0,0,0,2,1,5,18,20,25,112.42,25,82, ,3,Y,5,2,45000,611550,0,0,1920,1989,0, , ,3.49,4,0,4,1,1003440063,0,2201,989096,201230,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,279.7185467,2752.449091,566550,1,0,11309,11311,11,2475,17.05666733,21.61111069,4.554443359,18.19646523,1.866461893,200.1611176 +11311,MN,875,70,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,15 EAST 20 STREET,R7B,R8B, , , , , , , ,LH-1,Y,P2,8,0, ,THE NATIONAL ARTS CLU,10902,85279,29269,56010,0,0,0,0,0,29269,2,1,13,48,49,59.25,184,59.25,178,E,3,Y,4,2,1350000,3341250,405000,1002375,1844,1987,0,Gramercy Park Historic District,THE NATIONAL ARTS CLUB,7.82,3,0,3,1,1008750070,0,50,987889,207996,12c,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,507.8307343,11578.03485,1991250,5,0,11310,11312,51,11475,30.81999969,31.0577774,0.23777771,30.824662,0.032967496,1572.057762 +11312,MN,770,40,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,178 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,178 7TH AVE INC,2116,7682,3000,4682,0,1500,0,0,0,1500,2,1,5,12,13,23,92.33,23,40, ,3,Y,5,2,217800,1195200,0,0,1982,0,0, , ,3.63,6,0,6,1,1007700040,0,87,985060,209853,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,233.7662814,2159.277154,977400,7,0,11311,11313,9,2025,22.20999908,24.03199959,1.822000504,22.41244358,0.572599516,201.7119923 +11313,MN,563,19,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,97 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,O6,5,0, ,99 UNIVERSITY CORP,4025,41490,41490,0,37990,3500,0,0,0,0,2,1,10,0,12,49.67,82.5,49.67,82.5, ,2,Y,3,2,774000,5845950,0,0,1900,1978,0, , ,10.31,6.02,2,6.5,1,1005630019,0,61,986285,206581,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,300.1052656,5144.19354,5071950,8,0,11312,11314,23,5175,36.55666733,39.75,3.193332672,37.12974946,1.102530659,853.9842377 +11314,MN,228,24,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,57 GRAND STREET,M1-5A, , , , , , , , , ,N,S3,4,0, ,GRANVILLE EQUITIES LL,1474,4422,1100,3322,0,1100,0,0,0,0,2,1,4,3,4,22,67,22,67,E,3,N,5,5,191974,289607,0,0,1930,0,0,SoHo-Cast Iron Historic District, ,3,0,5,6.5,1,1002280024,0,47,983250,202362,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,185.4589185,1630.646297,97633,0,1,11313,11315,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +11315,MN,621,51,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,68 PERRY STREET,R6, , , , , , , , , ,N,C5,2,0, ,"68 PERRY STREET, LLC",1900,4710,0,4710,0,0,0,0,0,0,2,1,4,9,9,20,95.08,20,46, ,3,N,5,1,138750,416418,0,0,1910,1987,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1006210051,0,73,983169,207150,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,233.3349708,1968.885723,277668,8,0,11314,11316,9,2025,24.81222343,27.85000038,3.037776947,25.45842065,1.022948767,229.1257858 +11316,MN,821,27,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,21 WEST 19 STREET,C6-4A, , , , , , , , , ,N,D7,4,0,P,19 FUNDING INC.,2300,11375,1550,9825,0,1550,0,0,0,0,2,1,7,6,7,25,92,25,62, ,3,N,5,2,146512,1182029,0,0,1915,2012,0,Ladies' Mile Historic District, ,4.95,10,10,10,1,1008210027,0,54,986318,208808,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,241.4990821,2345.352507,1035520,7,0,11315,11317,10,2250,32.91555405,32.91555405,0,32.91555405,0,329.1555405 +11317,MN,239,20,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,116 BOWERY,C6-1G, , , , , ,LI, , , ,N,H3,5,0, ,"HANBEE REALTY,",8249,29665,8200,0,0,8200,0,0,0,0,2,1,4,0,4,81,103.92,81,104, ,3,Y,3,2,3024000,9385650,0,0,1923,2006,0, , ,3.6,3.44,6,6.5,1,1002390020,0,41,985580,201004,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,391.0310827,9247.668887,6361650,0,0,11316,11318,40,9000,31.48699951,33.93111038,2.44411087,31.80623283,0.770523906,1272.249313 +11318,MN,862,28,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,35 EAST 32 STREET,C5-2, , , , , , , , , ,N,H3,5,0, ,35 EAST 32ND REALTY L,2469,28119,2450,0,0,2450,0,0,0,0,2,1,16,0,2,25,98.75,25,98, ,3,N,5,2,1332000,4771800,0,0,1900,2014,0, , ,11.39,10,10,10,1,1008620028,0,74,988945,211197,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,262.0894557,2593.217896,3439800,10,0,11317,11319,12,2700,40.45000076,40.45000076,0,40.45000076,0,485.4000092 +11319,MN,511,6,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,580 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,BROAD PRINCE REALTY C,9475,127597,127597,0,117597,10000,0,0,0,0,2,1,12,0,13,51,200,51,200, ,0,Y,5,2,2250000,19776600,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,13.47,0,5,6.5,1,1005110006,0,43,985072,203207,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,513.0370439,9835.536624,17526600,9,0,11318,11320,44,9900,36.82110977,37.49822235,0.677112579,36.83649869,0.100911912,1620.805943 +11320,MN,404,1,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,166 AVENUE A,R7A, , , ,C2-5, , , , , ,N,B9,1,0,P,SCHNEIDER WILLIAM P,1510,4520,0,4520,0,0,0,0,0,0,2,1,4,2,2,20,75.5,20,76, ,3,Y,5,0,22717,55272,0,0,1900,0,0, , ,2.99,4,0,4,1,1004040001,0,34,989315,204544,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,194.8928301,1520.487089,32555,12,0,11319,11321,8,1800,12.53199959,17.63888931,5.106889725,13.55030537,1.837921827,108.4024429 +11321,MN,792,7504,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,101 7 AVENUE,C6-3A, , , , , , , , , ,N,RM,4,0, , ,13104,56870,56870,0,0,56870,0,0,0,0,2,1,19,155,156,100,131,0,0, ,0,N,5,5,2534850,19932300,175699,175699,1930,0,0, , ,4.34,7.52,6,7.5,1,1007927504,710,81,984739,208870,8d, ,103 029,10305, ,1007920001,11/15/1990,1, , ,17V1.1,7,472.3131192,13634.65131,17397500,7,0,11320,11322,60,13500,27.66555595,28.75111008,1.085554123,27.69506146,0.163049678,1661.703688 +11322,MN,521,69,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,300 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C0,2,0, ,"REDD, ALBERT M III",1230,2242,0,2242,0,0,0,0,0,0,2,1,3,3,3,19.83,62,19.25,34, ,3,N,5,2,40125,70334,0,0,1899,0,0,Noho East Historic District, ,1.82,6.02,6,6.5,1,1005210069,0,5502,986184,203415,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,174.4318881,1407.676505,30209,9,0,11321,11323,6,1350,43.41222,43.41222,0,43.41222,0,260.47332 +11323,MN,738,27,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,313 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C1,2,0, ,"BILIAS, S",3125,7349,0,7349,0,0,0,0,0,0,2,1,5,9,9,25,124.5,25,88,E,3,N,5,2,79912,371998,0,0,1905,1960,0, , ,2.35,6.02,6,6.5,1,1007380027,0,83,983373,209010,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,309.5837318,3088.704765,292086,7,0,11322,11324,13,2925,16.15333366,19.60666656,3.453332901,17.1488379,1.261888663,222.9348927 +11324,MN,196,5,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,408 BROADWAY,M1-5, , , , , , , , , ,N,O5,5,0, ,408 BWAY REALTY LLC,11362,56210,56210,0,46210,10000,0,0,0,0,2,1,5,0,3,53.67,175,54,175, ,3,Y,4,2,675000,6543000,0,0,1915,2008,2004,Tribeca East Historic District, ,4.95,0,5,6.5,1,1001960005,0,31,983747,201150,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,521.8484052,11615.38596,5868000,14,0,11323,11325,48,10800,11.84555531,15.40333366,3.557778358,11.94401366,0.531452731,573.3126554 +11325,MN,805,5,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,167 WEST 29 STREET,M1-6, , , , , , , , , ,N,K9,5,0, ,"167 WEST 29TH STREET,",2271,6831,6831,0,0,4554,0,0,0,2277,2,1,3,0,1,23,98.75,23,99,E,3,N,5,2,180000,426150,0,0,1920,0,0, , ,3.01,0,10,10,1,1008050005,0,95,986371,211743,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,249.5849842,2449.012369,246150,6,0,11324,11326,10,2250,34.63499832,34.63499832,0,34.63499832,0,346.3499832 +11326,MN,633,52,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,302 WEST 11 STREET,C1-6, , , , , , , , , ,N,S2,4,0,P,11TH ST WEST PARTNERS,1102,2996,989,2007,0,989,0,0,0,0,2,2,3,2,3,30,50,30,47, ,3,Y,3,5,34871,101070,0,0,1910,0,0,Greenwich Village Historic District, ,2.72,3.44,2,6.5,1,1006330052,0,75,982536,207304,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,152.3362016,1209.406825,66199,8,0,11325,11327,4,900,19.46666718,22.58333397,3.116666794,20.24583387,1.349556309,80.9833355 +11327,MN,872,1,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,36 UNION SQUARE,C6-4,C6-2A,R8B, , , ,US, , , ,Y,D8,3,0,P,101 EAST 16TH REALTYL,15625,65430,20000,45430,0,7000,13000,0,0,0,2,1,7,70,76,105,150,97,150, ,3,Y,3,1,2754000,12546900,0,0,1963,1987,0, , ,4.19,10,10,10,1,1008720001,0,50,987321,207426,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,537.131149,17114.78974,9792900,5,0,11326,11328,75,16875,35.47555542,40.56999969,5.094444275,35.97269623,1.421404324,2697.952217 +11328,MN,694,1,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,162 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,K9,5,0,P,22ND STREET BUILDING,1851,7408,7408,0,0,1570,0,0,0,5838,2,1,4,0,2,24.67,75,24.67,75, ,3,N,3,2,157500,777600,0,0,1930,2002,2004, , ,4,7.52,6,10,1,1006940001,0,99,982267,211866,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,212.9203567,2150.791703,620100,2,1,11327,11329,10,2250,6.691111088,6.936999798,0.24588871,6.912410927,0.073766613,69.12410927 +11329,MN,830,73,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1A,44 WEST 29 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,DEVLI PROPERTIES INC,3950,43580,4080,0,0,4080,0,0,0,0,2,2,18,0,2,40,98.75,40,98.75, ,1,N,5,1,1919700,8612377,0,0,2014,2014,0, , 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,5.13,7.52,6,7.5,1,1001497501,2296,21,982238,199754,12b, ,101S018,10104, ,1001490009,2/9/2012,1, , ,17V1.1,7,472.3515179,12074.29402,5940970,14,0,11330,11332,54,12150,29.82299995,30.42533302,0.602333069,29.83996289,0.086403235,1611.357996 +11332,MN,461,3,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,25 COOPER SQUARE,C6-1, , , , , , , , , ,N,H2,5,0, ,33 COOPER SQUARE ASSO,11662,91948,2316,2400,1200,0,0,1116,0,0,2,2,21,4,149,121.53,100,96,93, ,0,Y,5,5,4082400,25890750,0,0,2006,2005,0, , ,7.88,3.44,6,6.5,1,1004610003,0,38,986808,204440,12c, ,102 018,10205, ,1004610003,12/20/2013,1, , ,17V1.1,0,455.2984892,12360.79647,21808400,1,0,11331,11333,56,12600,36.55199814,43.61000061,7.058002472,40.70672424,2.040909522,2279.576557 +11333,MN,717,62,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,436 WEST 20 STREET,R7B,R8A, , , , , , , , ,Y,C1,2,0, ,"CHELSEA SQUARE, LLC",2574,5247,0,5247,0,0,0,0,0,0,2,1,3.5,7,7,24.75,104,25,78,E,3,Y,5,1,72408,338839,0,0,1910,0,0,Chelsea Historic District, ,2.04,3,0,3,1,1007170062,0,89,982994,210751,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,265.1286211,2734.772481,266431,7,1,11332,11334,10,2250,9.621110916,12.28888893,2.667778015,9.900888729,0.796943117,99.00888729 +11334,MN,559,36,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,114 3 AVENUE,C1-9A, , , , , , , , , ,N,K4,4,0, ,"114 THIRD AVENUE, LLC",2588,3693,2165,1528,0,2165,0,0,0,0,2,1,2,1,2,34.5,75,34,75, ,3,N,5,2,317700,576000,0,0,1964,0,0, , ,1.43,10,2,10,1,1005590036,0,42,987659,206355,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,227.7483421,2834.0698,258300,12,0,11333,11335,12,2700,36.68999863,36.68999863,0,36.68999863,0,440.2799835 +11335,MN,284,28,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,165 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,K4,4,0,P,L & L MANAGEMENT CORP,2608,7800,7800,0,2600,5200,0,0,0,0,2,1,3,0,3,26.08,100,26,100, ,2,N,3,0,427255,622705,0,0,1900,0,0, , ,2.99,3.44,0,6.5,1,1002840028,0,6,987037,199343,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,260.9878567,2753.753915,195450,16,0,11334,11336,12,2700,28.70100021,30.23111153,1.530111313,29.05169455,0.612535525,348.6203346 +11336,MN,180,7502,101,39,4005,2,1,10013,E007,1,15,7700,3,1, ,69 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,WHITEHOUSE CONDOMINIU,5633,22544,5410,17134,0,4750,0,0,0,660,2,1,5,20,22,67.08,97.83,0,0, ,0,N,5,5,483751,2594704,14160,14160,1915,0,0,Tribeca West Historic District, ,4,6.02,6,6.5,1,1001807502,198,39,981688,200910,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,7,327.676964,6366.780368,2110950,14,0,11335,11337,27,6075,14.44699955,16.15699959,1.710000038,14.72275677,0.608879627,397.5144329 +11337,MN,491,27,102,37,3009,2,3,10013,L008,1,15,6800,1,2,1B,552 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,C4,2,0, ,552 BROOME REALTY LLC,2113,8470,0,8470,0,0,0,0,0,0,2,1,5,11,11,25,84.5,25,74, ,3,N,5,2,112500,672300,0,0,1900,1987,0, , ,4.01,0,10,10,1,1004910027,0,37,982772,203245,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,223.4757738,2168.294407,559800,0,0,11336,11338,10,2250,15.03499985,15.37333393,0.338334084,15.06883326,0.101500225,150.6883326 +11338,MN,818,25,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,17 WEST 16 STREET,C6-2M, , , , , , , , , ,N,B9,1,0, ,RYMAN MERRILL W,3036,5742,0,3756,0,0,0,0,0,0,2,1,3,2,2,33.33,92,33.33,50,E,3,Y,5,1,70939,173170,0,0,1910,2007,0, ,17 WEST 16TH STREET HOUSE (PART OF,1.89,6.02,6,6.5,1,1008180025,0,54,985920,208192,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,256.2386918,3112.683414,102231,7,0,11337,11339,14,3150,31.11599922,35.32110977,4.20511055,32.28925337,1.709362589,452.0495472 +11339,MN,772,42,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,205 WEST 22 STREET,R8A, , , ,C2-5, , , , , ,N,C0,2,0, ,"TRISTRAM, ED",822,2776,0,2468,0,0,0,0,0,0,2,1,4,3,3,16.67,49.33,16.67,37, ,3,N,5,1,60911,109035,0,0,1901,0,0, , ,3.38,6,0,6,1,1007720042,0,91,985268,210220,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,134.2218368,809.3799203,48124,2,0,11338,11340,3,675,22.16600037,23.06888962,0.902889252,22.46696345,0.425626075,67.40089035 +11340,MN,742,59,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,338 WEST 19 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,338 WEST 19 ST INC,2300,11150,0,11150,0,0,0,0,0,0,2,1,6,18,18,25,92,25,80, ,3,N,5,2,125550,1369800,2360,2360,1920,1975,0, , ,4.85,3,0,3,1,1007420059,0,89,983689,210094,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,233.421123,2160.153645,1244250,7,0,11339,11341,10,2250,15.59444427,15.59444427,0,15.59444427,0,155.9444427 +11341,MN,228,25,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,59 GRAND STREET,M1-5A, , , , , , , , , ,N,L9,6,0,P,59 GRAND ST EQUITIES,1474,5434,5434,0,4084,1350,0,0,0,0,2,1,4,0,4,22,67,22,66,E,2,N,5,0,177750,1330650,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,3.69,0,5,6.5,1,1002280025,0,47,983269,202350,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,182.4098153,1522.495057,1152900,0,1,11340,11342,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +11342,MN,862,25,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,29 EAST 32 STREET,C5-2, , , , , , , , , ,N,O2,5,0, ,KIAMIE-PELHAM BELTMOR,2469,5600,5600,0,5600,0,0,0,0,0,2,1,3,0,1,25,98.75,25,45,E,0,N,5,5,308250,782550,0,0,1915,2003,0, ,THE GROLIER CLUB,2.27,10,10,10,1,1008620025,0,74,988880,211233,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,262.7253385,2636.750429,474300,10,0,11341,11343,13,2925,40.45000076,40.45000076,0,40.45000076,0,525.8500099 +11343,MN,587,26,102,67,3001,2,3,10014,E024,6,15,6400,1,2,1B,272 BLEECKER STREET,C2-6,R7-2, , , , , , , , ,Y,C7,4,0, ,G WAY HOLDING CORP,4200,20797,3475,17322,0,3000,0,0,0,475,2,1,6,25,28,80.83,50,72,50,E,3,Y,3,2,900000,3806550,0,0,1900,1987,0,Greenwich Village Historic District Exte, ,4.95,3.44,2,6.5,1,1005870026,0,67,983310,205807,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,277.3328455,4534.613508,2906550,9,0,11342,11344,20,4500,18.00777817,21.10000038,3.092222214,18.5488225,1.113571446,370.97645 +11344,MN,922,20,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,261 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,FIRST AVENUE EQUITIES,2266,8580,1500,7080,0,1500,0,0,0,0,2,1,5,8,10,28.33,80,28,66, ,3,N,5,2,289515,515461,0,0,1910,0,0, , ,3.79,4,2,4,1,1009220020,0,48,989171,206073,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,236.2933531,2670.109108,225946,5,0,11343,11345,13,2925,19.57900047,20.22222137,0.643220901,19.65621391,0.179602407,255.5307808 +11345,MN,237,17,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,203 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,LLS REALTY ASSOCIATE,3983,25500,3983,21517,0,3983,0,0,0,0,2,1,7,30,35,50.08,81,50,80, ,3,Y,3,2,273600,2799450,0,0,1910,1986,0, , ,6.4,6.02,6,6.5,1,1002370017,0,41,985158,201196,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,277.8579942,4563.588568,2525850,0,0,11344,11346,21,4725,29.22333336,31.40799904,2.18466568,31.13535363,0.635289691,653.8424263 +11346,MN,188,7503,101,39,4002,2,1,10013,E007,1,15,7700,3,1, ,53 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,ERIC GREGG,17728,102511,13484,89027,0,13484,0,0,0,0,2,1,6,46,47,0.4,175,0,0, ,0,N,1,5,1756349,13301553,29293,31118,1910,2003,0, , ,5.78,6.02,6,6.5,1,1001887503,1155,39,981794,201705,12a, ,11N 039,10105, ,1001880023,12/14/2000,1, , ,17V1.1,7,565.6881895,18226.44013,11545200,14,0,11345,11347,82,18450,15.11899948,16.02599907,0.906999588,15.15375694,0.147251646,1242.608069 +11347,MN,458,44,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,10 EAST 2 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,OHAYON JOSEF,1600,2252,0,2252,0,0,0,0,0,0,2,1,2.5,1,1,25,64.83,25,64.83, ,3,Y,5,2,19265,68961,0,0,1920,0,0, , ,1.41,4,0,4,1,1004580044,0,3602,986661,203604,12c, ,102 009,10205, ,0, ,1, , 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STREET,R8B,R7A, , ,C1-5, , , , , ,Y,D6,4,0,P,710 EAST 9TH STREET H,10000,34728,5262,29466,0,0,0,0,0,5262,2,1,5,44,45,100,100,100,100, ,3,N,5,0,1125000,3888000,1125000,3888000,1900,1905,2011, , ,3.47,4,0,4,1,1003780010,0,2602,990465,203367,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,419.2812151,10984.15464,2763000,12,1,11355,11357,50,11250,7.409999847,8.98777771,1.577777863,7.508364315,0.349483357,375.4182158 +11357,MN,887,82,105,72,2002,2,2,10016,L007,14,14,5300,1,5,1A,192 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,O6,5,0, ,"CRES, INC",7207,123243,123243,0,104352,18891,0,0,0,0,2,1,16,0,39,67.67,100,68,100, ,2,Y,3,2,3780000,13015800,0,0,1926,0,0, , ,17.1,6.02,6,6.5,1,1008870082,0,72,989499,210729,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,386.1567753,7437.353942,9235800,10,0,11356,11358,34,7650,29.31800079,32.17777634,2.859775543,29.58362815,0.726281233,1005.843357 +11358,MN,303,7501,103,16,1002,2,1,10002,L006,5,14,7400,1,3, ,87 BOWERY,C6-1G, , , , , , , , , ,N,RM,4,0, , ,3800,21375,15615,5760,10880,4180,0,0,0,555,2,1,9,8,13,25.5,146,25,138, ,0,N,0,5,404996,2332798,0,0,1910,2003,2003, , ,5.63,3.44,6,6.5,1,1003037501,1483,16,985582,200450,12c, ,11N 049,10107, ,1003030012,10/26/2005,1, , ,17V1.1,7,357.5281064,3869.624557,1927800,0,0,11357,11359,17,3825,41.4129982,43.00222015,1.589221954,41.69831893,0.510238844,708.8714218 +11359,MN,231,12,102,47,2016,2,1,10013,E055,1,15,6800,1,2,1A,419 BROADWAY,M1-5B, , , , , , , , , ,N,K1,5,0,P,419 MM LLC,2679,2679,2679,0,0,2679,0,0,0,0,2,1,1,0,8,54.17,56,54,55, ,3,Y,3,2,648000,1423350,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,1,0,5,6.5,1,1002310012,0,47,983719,201478,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,225.62388,3101.135732,775350,0,0,11358,11360,14,3150,12.89000034,12.89000034,0,12.89000034,0,180.4600048 +11360,MN,495,28,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,245 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C1,2,0, ,"SYYYD, LLC",2481,9650,0,9650,0,0,0,0,0,0,2,1,5,20,20,25,99.25,25,83, 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,17V1.1,0,201.6073835,1637.367727,568350,8,0,11375,11377,5,1125,15.52555561,15.52555561,0,15.52555561,0,77.62777805 +11377,MN,698,1,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,244 11 AVENUE,C6-3,M1-5, , , , ,WCH, , , ,Y,O3,5,0,P,CIRCLE 1 LLC,34198,154433,154433,0,154433,0,0,0,0,0,2,1,7,0,2,198,208,197.5,125, ,2,Y,3,2,2709000,19696050,0,0,1911,1983,0,West Chelsea Historic District, ,4.52,7.52,6,10,1,1006980001,0,99,982885,212881,8b, ,105S004,10301,E-142,0, ,1,1,1,17V1.1,0,880.471264,37369.61596,16987100,2,1,11376,11378,167,37575,8.193333626,12.41222191,4.218888283,10.24539438,0.925888441,1710.980862 +11378,MN,207,14,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1F,128 BAXTER STREET,M1-5B, , , , , , , , , ,N,C4,2,0, ,BAXTER STREET PROPER,1964,7715,1500,6215,0,1500,0,0,0,0,2,1,5,8,10,32.42,72.42,32,46, ,3,Y,5,2,28336,168936,0,0,1900,0,0, , ,3.93,0,5,6.5,1,1002070014,0,41,984506,200967,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,216.196079,2121.749503,140600,0,0,11377,11379,10,2250,18.89222145,19.25111008,0.358888626,18.99819927,0.11916265,189.9819927 +11379,MN,855,16,105,56,1004,2,2,10010,E016,13,15,5700,1,5,1B,53 EAST 25 STREET,C5-3, , , , , , , , , ,N,O3,5,0,P,352 PARK AVE SOUTH LL,11350,185000,185000,0,185000,0,0,0,0,0,2,1,16,0,17,100,98.75,100,100, ,3,Y,5,2,5850000,23885100,0,0,1913,1979,0, , ,16.3,10,15,15,1,1008550016,0,56,988184,209566,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,562.234998,11906.41028,18035100,11,0,11378,11380,53,11925,35.47700119,35.57400131,0.097000122,35.47908294,0.013169115,1880.391396 +11380,MN,910,41,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,240 EAST 30 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,23830 OWNERS CORP,7166,24090,0,24090,0,0,0,0,0,0,2,4,5,38,38,71,98.75,50,84, ,0,Y,5,5,392400,2290050,57911,57911,1935,1986,0, , ,3.36,3,0,3,1,1009100041,0,70,990200,209736,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,350.3656926,7282.588072,1897650,10,0,11379,11381,32,7200,34.37666702,37.72000122,3.343334198,35.15235448,1.265433601,1124.875343 +11381,MN,454,35,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,352 EAST 13 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,43 ORCHARD REALTY LLC,2168,8215,800,7415,0,800,0,0,0,0,2,1,5,8,9,21,103.25,21,78, ,3,N,5,2,39258,155859,0,0,1900,1989,0, , ,3.79,4,0,4,1,1004540035,0,40,988773,205477,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,255.1330586,2216.179619,116601,12,0,11380,11382,10,2250,22.37666702,23.91222191,1.535554886,22.78944454,0.636613581,227.8944454 +11382,MN,471,20,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,165 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,SUPREME LLC,2420,11901,2000,9901,0,2000,0,0,0,0,2,1,6,15,16,25,99.83,25,85, ,3,Y,5,2,66150,2237400,0,0,1920,0,0, , ,4.92,6.02,6,6.5,1,1004710020,0,41,984977,201541,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,258.2335623,2617.968113,2171250,0,0,11381,11383,11,2475,24.86333275,29.54999924,4.686666489,25.32535293,1.340733104,278.5788822 +11383,MN,136,12,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,56 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,C6,2,0, ,56-58 WARREN OWNERS C,4091,18500,2000,16500,1000,0,0,0,0,1000,2,1,5,8,10,45.92,100,45,90, ,3,Y,5,2,283630,1042752,4720,4720,1915,1988,2008,Tribeca South Historic District Extensio, ,4.52,7.52,6,7.5,1,1001360012,0,21,981712,199753,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,299.9183924,4251.072193,759122,3,0,11382,11384,19,4275,25.24200058,25.24200058,0,25.24200058,0,479.598011 +11384,MN,888,1,105,72,2001,2,2,10016,L007,14,14,5300,1,5,1A,1 PARK AVENUE,C5-3,C6-1, , , , , , , , ,Y,O6,5,0,P,VNO ONE PARK LLC,45425,922184,922184,0,751364,117537,0,53283,0,0,2,1,18,0,45,197.5,230,192,205, ,1,N,3,2,47250000,104283000,0,0,1926,1989,0, , ,20.3,10,15,15,1,1008880001,0,72,989378,211018,8d, ,104 020,10307, ,0, ,1, , 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,17V1.1,7,422.6855437,11159.14737,8161210,8,0,11385,11387,50,11250,27.86444473,29.6977787,1.833333969,27.94058029,0.317103319,1397.029015 +11387,MN,766,9,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,253 WEST 16 STREET,R8B,C6-2A, , , , , , , , ,Y,D4,3,0,P,253 W 16 OWNERS INC,7550,37782,0,37782,0,0,0,0,0,0,2,1,6,53,53,86,106.25,86,78, ,3,Y,5,2,594000,3413700,37760,37760,1930,1986,0, , ,5,4,0,4,1,1007660009,0,81,984045,209239,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,399.5074845,9258.73316,2819700,7,0,11386,11388,41,9225,21.88888931,21.88888931,0,21.88888931,0,897.4444618 +11388,MN,285,23,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,205 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C6,2,0,P,205 E BROADWAY HOUSIN,2231,4689,1070,3619,0,1070,0,0,0,0,2,1,4,4,5,25.5,87.5,26,50, ,3,N,5,2,62081,127676,56815,56815,1910,0,0, , ,2.1,3.44,0,6.5,1,1002850023,0,6,987603,199412,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,235.5697135,2331.341366,65595,13,0,11387,11389,9,2025,23.9640007,25.78999901,1.825998306,24.37797546,0.653921186,219.4017792 +11389,MN,175,19,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,41 WHITE STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,P & J BRAUN,2633,12000,2400,9600,0,2400,0,0,0,0,2,1,5,7,8,26.33,100,26,95, ,3,N,5,0,406569,668327,0,0,1915,0,0,Tribeca East Historic District, ,4.56,6.02,6,6.5,1,1001750019,0,33,983002,201030,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,262.8158472,2764.324471,261758,14,0,11388,11390,13,2925,17.40222168,18.99444389,1.592222214,17.52470031,0.424278426,227.8211041 +11390,MN,927,29,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,369 1 AVENUE,C1-6A, , , , , , , , , ,N,D6,4,0,P,371 1ST AVE CORP.,4900,15838,2000,13838,0,2000,0,0,0,0,2,4,5,16,18,50,100,49,70,E,3,N,5,2,450000,2255850,0,0,1910,1986,0, , ,3.23,4,2,4,1,1009270029,0,64,989926,207461,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,301.4048832,4958.866521,1805850,5,0,11389,11391,23,5175,12.9244442,12.9244442,0,12.9244442,0,297.2622166 +11391,MN,422,72,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,48 STANTON STREET,C4-4A, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,19933,77580,77580,0,0,0,0,0,0,77580,2,1,5,0,1,100,199.33,96,197, ,2,Y,3,2,1197000,3070800,1197000,3070800,1920,0,0, , ,3.89,4,4,4,1,1004220072,0,3601,986891,202471,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,603.8390761,20384.77255,1873800,1,0,11390,11392,89,20025,40.08800125,44.19555664,4.107555389,40.55748432,1.175257199,3609.616104 +11392,MN,471,50,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,159 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,S1,4,0, ,GORDON CHIN,2521,9000,1300,7700,0,1300,0,0,0,0,2,1,6,1,2,25,100.83,25,60, ,0,N,5,5,138839,330067,1550,1550,1992,0,0, , ,3.57,6.02,6,6.5,1,1004710050,0,41,985208,201440,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,256.4243096,2539.342615,191228,0,0,11391,11393,12,2700,27.46699905,27.46699905,0,27.46699905,0,329.6039886 +11393,MN,773,43,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,230 7 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0,P,230 7TH AVENUE LLC,1573,5710,5710,0,2803,2907,0,0,0,0,2,1,4,0,4,19.67,80,20,76,E,3,N,5,2,184950,1003500,0,0,1920,1988,0, , ,3.63,9,6,9,1,1007730043,0,91,985440,210527,8d, ,105S009,10304,E-54,0, ,1, , ,17V1.1,0,200.6530774,1654.116828,818550,2,0,11392,11394,7,1575,23.38899994,23.38899994,0,23.38899994,0,163.7229996 +11394,MN,859,15,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,102 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,"RUTH, DONALD S",9381,108290,108290,0,73689,6500,0,28101,0,0,2,1,12,0,13,98.75,95,99,95, ,0,N,3,2,4500000,11087550,0,0,1917,0,0, , ,11.54,10,10,10,1,1008590015,0,74,988303,210671,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,408.6211558,10434.64658,6587550,11,0,11393,11395,47,10575,37.89300156,37.92266846,0.029666901,37.89363277,0.004281079,1781.00074 +11395,MN,292,20,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,27 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,S4,4,0, ,TAI KEUNG REALTY CORP,1813,4260,1050,3210,0,1050,0,0,0,0,2,1,4,4,5,22.67,80,23,44, ,3,N,5,5,65991,235242,0,0,1910,0,0, , ,2.35,3.44,6,6.5,1,1002920020,0,16,985986,199829,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,217.8512672,2058.483084,169251,16,0,11394,11396,8,1800,39.91899872,43.21544266,3.296443939,41.02135992,1.330007013,328.1708794 +11396,MN,391,7,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4Q,602 EAST 9 STREET,R7A, , , , , , , , , ,N,M3,8,0,X,TRINITY LOWER EASTSID,5057,8307,8307,0,0,0,0,0,0,8307,2,1,0,0,2,50.5,85,0,0, ,0,Y,3,5,317700,1844100,317700,1844100,1920,1993,0, , ,1.64,4,0,4,1,1003910007,0,2602,989741,203794,12c, ,102 022,10203,E-216,1003910007,1/6/1994,1, ,1,17V1.1,0,334.4122643,5278.36559,1526400,12,1,11395,11397,24,5400,8.318888664,12.22777748,3.908888817,10.25124991,1.691576129,246.0299978 +11397,MN,773,134,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,202 WEST 24 STREET,R8A,C6-3X, , , , , , , , ,Y,D9,3,0,X,CHELSEA RESIDENCES LI,18682,68879,0,68879,0,0,0,0,0,0,2,1,10,180,180,0,0,113.9,98.9, ,3,N,0,2,1731600,5890950,1731600,5890950,2002,0,0, , ,3.69,6,0,6,1,1007730134,0,91,985395,210640,8d, ,15S 009,10304,E-54,1007730034,1/9/2003,1, , ,17V1.1,0,439.3455265,10489.03269,4159350,2,0,11396,11398,47,10575,23.38899994,35.41777802,12.02877808,24.56491243,3.178365042,1154.550884 +11398,MN,400,42,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,231 EAST 4 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,M Y C REALTY CORP,4664,15460,1200,14260,0,1200,0,0,0,0,2,2,5,22,24,48.5,96.17,24,59, ,0,N,5,2,180000,1649250,0,0,1890,0,0, , ,3.31,3,0,3,1,1004000042,0,32,988998,202929,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,305.6966706,5091.716037,1469250,1,0,11397,11399,22,4950,15.8922224,19.68333244,3.791110039,16.61276267,1.35034578,365.4807787 +11399,MN,732,68,104,111,2003,2,3,10001,L021,10,15,5500,1,4,2A,454 WEST 35 STREET,R8A, , , ,C2-5, ,HY, , , ,N,C4,2,0,P,CLINTON HOUSING WEST3,7962,10348,0,10348,0,0,0,0,0,0,2,3,5,31,31,92.58,98.75,25,76, ,1,Y,5,1,195750,1280700,195750,1280700,1900,1997,0, , ,1.3,6,0,6,1,1007320068,0,111,984774,214265,8d, ,105S029,10302, ,0, ,1, , ,17V1.1,0,379.8913552,8495.143808,1084950,6,0,11398,11400,33,7425,36.17555618,48.97433472,12.79877853,46.29135421,2.652063949,1527.614689 +11400,MN,204,7501,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,158 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0, , ,15832,99233,43903,55330,0,10514,33389,0,0,0,2,1,7,61,62,134.25,124.75,100,80, ,0,Y,0,5,1174501,13998601,25960,25960,2004,0,0, , ,6.27,6.02,6,6.5,1,1002047501,1509,41,985094,200704,12c, ,11N 049,10105, ,1002040010,7/6/2006,1, , ,17V1.1,7,524.2652299,16205.86592,12824100,0,0,11399,11401,72,16200,36.00444412,38.53222275,2.527778625,36.16394424,0.512461024,2603.803986 +11401,MN,402,19,103,32,7002,1,2,10009,L011,9,14,6600,1,3,4A,150 EAST 7 STREET,R7B, , , , , , , , , ,N,D1,3,0,P,JRC REALTY,4544,17750,0,17750,0,0,0,0,0,0,2,1,5,39,39,50,90.83,50,75, ,3,N,5,2,450000,2205450,0,0,1925,1963,0, , ,3.91,3,0,3,1,1004020019,0,32,989074,203567,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,284.6497674,4599.938967,1755450,12,0,11400,11402,22,4950,12.85000038,16.82666588,3.976665497,13.48883863,1.366906534,296.7544498 +11402,MN,344,60,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,99 PITT STREET,R7A, , , , , , , , , ,N,M1,8,0,X,R C CH LADY OF SORROW,19263,57574,28787,28787,0,0,0,0,0,28787,2,3,5,0,2,175,62.75,66,118, ,1,Y,3,2,846900,5184450,846900,5184450,1900,0,0, , ,2.99,4,0,4,1,1003440060,0,2201,989097,201282,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,786.727701,19861.00996,4337550,1,0,11401,11403,86,19350,17.05666733,21.86444473,4.807777405,18.16277823,1.823575677,1561.998928 +11403,MN,283,7501,103,6,1000,2,1,10002,E015,7,14,7800,2,3, ,141 DIVISION STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,CHU/MUI ASSOC/MING TO,1653,11255,4859,6396,1603,2008,0,0,0,1248,2,1,9,7,9,0.03,0,0,0, ,0,N,5,5,128706,913856,7080,7080,1987,0,0, , ,6.81,6.02,6,6.5,1,1002837501,566,6,986777,199533,12d, ,101N051,10107, ,1002830078,10/7/1988,1, , ,17V1.1,7,190.145597,1718.489087,785150,13,0,11402,11404,6,1350,32.80699921,32.80699921,0,32.80699921,0,196.8419952 +11404,MN,567,8,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,4 EAST 10 STREET,R7-2, , , , , , , , , ,N,A9,1,0, ,"WEINSHANKER, JOEL",1977,5748,0,5748,0,0,0,0,0,0,2,1,5,1,1,25,79.08,25,70,E,2,N,5,2,54496,441420,0,0,1900,2011,0,Greenwich Village Historic District, ,2.91,3.44,0,6.5,1,1005670008,0,59,985608,206348,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,214.8864439,2171.936678,386924,8,0,11403,11405,9,2025,29.25900078,30.68888855,1.429887772,29.4513092,0.447495486,265.0617828 +11405,MN,884,40,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,396 3 AVENUE,C2-8, , , , , , , , , ,N,C7,4,0, ,"POLPOONPIPAT, VIRACHA",1550,6970,1400,5570,0,1400,0,0,0,0,2,1,5,8,9,24.33,63.58,24,62,E,3,N,5,2,125336,755430,0,0,1910,0,0, , ,4.5,10,2,10,1,1008840040,0,72,989516,209694,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,183.2999629,1625.346814,630094,11,0,11404,11406,6,1350,37.06100082,37.06100082,0,37.06100082,0,222.3660049 +11406,MN,898,25,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,245 EAST 17 STREET,R9A,R7B, , , , , , , , ,Y,M1,8,0,P,EAST END TEMPLE CONGR,3168,8728,8728,0,0,8728,0,0,0,0,2,1,4,0,2,33,96,33,65,E,3,N,5,1,317700,757350,317700,757350,1890,1987,0,Stuyvesant Square Historic District, ,2.76,7.52,0,7.52,1,1008980025,0,48,988715,206927,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,267.3717641,3335.610831,439650,5,0,11405,11407,13,2925,22.7840004,22.7840004,0,22.7840004,0,296.1920052 +11407,MN,738,7504,104,83,2002,2,3,10014,L012,10,15,5600,1,4, ,345 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,7743,56600,8405,48195,0,8405,0,0,0,0,2,1,11,37,39,75,103.25,75,103, ,3,N,0,5,522450,9974701,0,3108971,1960,0,0, , ,7.31,6.02,6,6.5,1,1007387504,2376,83,983018,209195,8b, ,103 036,10303, ,1007380010,7/11/2013,1, , ,17V1.1,7,370.0239062,8241.489089,9452250,7,0,11406,11408,36,8100,16.15333366,16.15333366,0,16.15333366,0,581.5200119 +11408,MN,288,80,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,1B,269 HENRY STREET,R7-2, , , , , , , , , ,N,Y1,8,0,C,HOUSING PRESERVATION,1962,6041,6041,0,0,0,0,0,0,6041,2,1,4,0,0,24.17,81.5,24,81, ,0,Y,5,5,179100,367200,179100,367200,1900,0,0, , ,3.08,3.44,0,6.5,1,1002880080,0,202,988590,199436,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,221.4495795,2269.761063,188100,13,0,11407,11409,10,2250,34.14888763,34.14888763,0,34.14888763,0,341.4888763 +11409,MN,281,22,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,48 EAST BROADWAY,C6-1G, , , , , , , , , ,N,M9,8,0,X,GRACE GRATITUDE ETAL,1735,9654,9654,0,9654,0,0,0,0,0,2,1,6,3,4,25.08,69.17,25,69, ,3,Y,5,2,317700,805500,317700,805500,1900,2006,0, , ,5.56,3.44,6,6.5,1,1002810022,0,8,985421,199330,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,195.747716,1782.596488,487800,16,0,11408,11410,9,2025,35.10200119,35.39888763,0.296886444,35.13498857,0.093302408,316.2148972 +11410,MN,731,39,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,411 9 AVENUE,C6-4, , , , , ,HY, , , ,N,D7,4,0,P,411 9TH AVENUE REALTY,1975,12436,1395,11041,0,1395,0,0,0,0,2,1,0,26,28,19.75,100,19.75,100, ,2,N,3,2,668700,915300,0,0,2012,0,0, , ,6.3,10,10,10,1,1007310039,0,103,985071,213595,8d, ,105S018,10302,E-137,0, ,1, , ,17V1.1,0,246.1327314,2199.651781,246600,6,0,11409,11411,10,2250,43.60599899,47.15333176,3.547332764,43.96073227,1.064199829,439.6073227 +11411,MN,851,50,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,38 EAST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0,P,38 EAST 23RD STREET,2666,8216,8216,0,6000,2216,0,0,0,0,2,1,4,0,5,27,98.75,27,90,E,3,N,5,2,357750,927450,0,0,1920,1987,0, , ,3.08,10,10,10,1,1008510050,0,56,987730,208999,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,263.7017574,2859.171872,569700,11,0,11410,11412,12,2700,32.49111176,32.49111176,0,32.49111176,0,389.8933411 +11412,MN,843,20,105,52,2005,2,2,10003,L003,13,15,5700,1,5,1B,17 UNION SQUARE,C6-4,C6-2A, , , , ,US, , , ,Y,O6,5,0,P,MERIEL REALTY LLC.,7425,87545,87545,0,81845,5700,0,0,0,0,2,1,12,0,16,52,141.83,52,140, ,3,Y,3,2,2700000,14815800,0,0,1912,0,0, , ,11.79,10,10,10,1,1008430020,0,52,986619,207477,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,417.1379896,8535.184278,12115800,7,0,11411,11413,37,8325,37.06999969,38.45111084,1.381111145,37.14771735,0.28059851,1374.465542 +11413,MN,595,61,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,479 WASHINGTON STREET,C6-2A, , , , , , , , , ,N,L3,6,0, ,TORRE PROP CP,1627,11389,11389,0,0,0,0,11389,0,0,2,1,7,0,7,20.33,80,20.33,80, ,2,N,5,2,160650,719550,0,0,1910,0,0, , ,7,6.02,6,6.5,1,1005950061,0,37,981546,203563,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,202.5105663,1608.654665,558900,0,1,11412,11414,5,1125,7.625555515,7.625555515,0,7.625555515,0,38.12777758 +11414,MN,771,49,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,218 WEST 22 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,216 WEST 22ND STREET,2967,13875,3600,10275,3600,0,0,0,0,0,2,1,5,15,16,30,98.75,30,88, ,3,N,5,2,59850,772200,0,0,1901,1989,0, , ,4.68,4,0,4,1,1007710049,0,87,985095,210163,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,259.8240323,2945.773686,712350,7,0,11413,11415,13,2925,22.72999954,27.26444435,4.534444809,23.55076893,1.535016012,306.159996 +11415,MN,530,7507,102,55.02,1001,2,1,10012,L009,9,15,5700,2,2, ,54 BOND STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,2636,20621,8665,11956,0,4992,0,3673,0,0,2,1,6,3,5,106.75,26,26,106, ,0,Y,3,5,83563,1419762,0,0,1920,2008,2008,NoHo Historic District Extension,BOUWERIE LANE THEATRE (FORMER BOND,7.82,3.44,6,6.5,1,1005307507,2211,5502,986365,203745,12c, ,103 010,10207, ,1005300041,11/30/2010,1, , ,17V1.1,7,273.6562108,2964.028347,1336200,9,0,11414,11416,13,2925,43.14099884,43.14099884,0,43.14099884,0,560.8329849 +11416,MN,771,55,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,230 WEST 22 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,FIELDS HERBERT,1975,3800,0,2720,0,0,0,0,0,0,2,1,3,1,1,20,98.75,20,41,E,3,N,5,1,48209,151158,4140,4140,1901,2006,0, , ,1.92,4,0,4,1,1007710055,0,87,984986,210224,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,241.8432598,2041.218073,102949,7,0,11415,11417,9,2025,22.72999954,26,3.270000458,23.76987627,1.472016076,213.9288864 +11417,MN,798,60,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,130 WEST 23 STREET,C6-3X, , , , , , , , , ,N,L8,6,0,P,130 W. 23RD STREET LL,2469,7263,7263,0,0,1000,0,6263,0,0,2,1,3,3,4,25,98.75,25,88,E,3,N,5,1,387000,1273050,0,0,1910,0,0, , ,2.94,9,6,9,1,1007980060,0,91,985880,210025,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,253.0289535,2613.138435,886050,2,0,11416,11418,12,2700,28.16444397,31.43444443,3.270000458,28.57824039,0.97950181,342.9388847 +11418,MN,284,18,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,185 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,"185 PARTNERS, LLC",2608,6416,2080,4336,0,2080,0,0,0,0,2,1,4,4,6,26.08,100,26,73,E,3,N,5,5,180841,392301,0,0,1900,1968,0, , ,2.46,3.44,0,6.5,1,1002840018,0,6,987296,199374,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,266.4395289,2835.98655,211460,13,0,11417,11419,13,2925,20.93000031,25.56333351,4.633333206,21.28641055,1.234641311,276.7233372 +11419,MN,376,5,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,3A,98 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,98-100 AVENUE C HDFC,3772,15086,1000,14086,0,1000,0,0,0,0,2,1,6,22,24,45.42,83,45,70, ,2,Y,5,2,270000,711000,270000,376122,1900,1988,0, , ,4,4,0,4,1,1003760005,0,2602,990131,202954,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,264.2002712,3927.06009,441000,12,1,11418,11420,17,3825,7.864444256,9.372221947,1.507777691,8.012091328,0.4135392,136.2055526 +11420,MN,880,3,105,68,1003,2,2,10010,E016,13,14,5300,1,5,1B,327 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,K4,4,0,P,327 PK AV.SOUTH RLTYC,1660,5120,2720,2400,0,2720,0,0,0,0,2,1,4,2,4,20,83,20,60,E,3,N,5,2,346500,1088550,0,0,1910,1988,0, , ,3.08,10,10,10,1,1008800003,0,68,988280,209216,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,211.7943851,1731.646466,742050,11,0,11419,11421,8,1800,29.2211113,29.2211113,0,29.2211113,0,233.7688904 +11421,MN,33,11,101,7,1025,2,1,10005,L015,1,15,7700,1,1, ,95 WALL STREET,C6-9, , , , , ,LM, , , ,N,D5,3,0,P,NINETY FIVE WALL STRE,22957,473460,29960,443500,0,12500,17460,0,0,0,2,1,22,503,506,54.58,230.85,54,231, ,3,Y,3,2,21015000,67700700,0,3960000,1969,2007,2007, , ,20.62,10,15,15,1,1000330011,0,7,982148,196009,12b, ,101S007,10101, ,0, ,1,1,1,17V1.1,0,718.3888385,22516.64246,46685700,17,1,11420,11422,102,22950,7.786999702,9.890000343,2.103000641,7.916170761,0.401960485,807.4494176 +11422,MN,585,17,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,8 GROVE STREET,R6, , , , , , , , , ,N,A4,1,0, ,MOLONEY THOMAS J,1381,1425,0,1425,0,0,0,0,0,0,2,1,3,1,1,18.5,74.33,18.5,32, ,3,Y,5,2,22108,132710,0,0,1901,0,0,Greenwich Village Historic District, ,1.03,2.43,0,4.8,1,1005850017,0,73,982611,206040,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,191.5378457,1342.138181,110602,9,0,11421,11423,5,1125,19.35111046,22.37888908,3.027778625,19.95666618,1.21111145,99.78333092 +11423,MN,552,47,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,122 WAVERLY PLACE,R7-2, , , , , , , , , ,N,A4,1,0,P,"WAVERLY PLACE, LLC",2144,7920,0,6600,0,0,0,0,0,0,2,1,5,1,1,22,97.17,22,60,E,3,N,5,1,43174,343011,0,0,1930,2005,0,Greenwich Village Historic District, ,3.69,3.44,0,6.5,1,1005520047,0,65,984339,206139,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,247.5649704,2278.800244,299837,9,0,11422,11424,10,2250,17.50333405,19.75333405,2.25,18.05620022,0.753336331,180.5620022 +11424,MN,404,33,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,345 EAST 10 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"E & E GROUP, LLC",1750,7050,1500,5550,0,1500,0,0,0,0,2,1,5,12,14,25,70,25,70, ,2,N,3,2,225000,979200,0,0,1900,1987,0,East 10th Street Historic District, ,4.03,4,0,4,1,1004040033,0,34,989815,204169,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,200.6510499,1998.144588,754200,12,1,11423,11425,9,2025,12.30911064,12.53199959,0.222888947,12.49459214,0.074558765,112.4513292 +11425,MN,738,53,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,322 WEST 15 STREET,R8B, , , , , , , , , ,N,W8,8,0,P,CORLEARS SCHOOL,2131,6166,4750,1416,0,0,0,0,0,4750,2,2,5,2,3,25,85.25,25,38, ,0,N,5,5,316800,3339000,316800,3339000,1925,2011,2011, , ,2.89,4,0,4,1,1007380053,0,83,983381,209128,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,232.2457993,2251.755485,3022200,7,0,11424,11426,9,2025,16.15333366,16.15333366,0,16.15333366,0,145.380003 +11426,MN,623,49,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,269 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,MCY REAL ESTATE LLC,2996,5750,0,5750,0,0,0,0,0,0,2,1,5,3,3,26.75,112,27,50,E,3,N,5,2,107075,576258,0,0,1910,1988,2003,Greenwich Village Historic District, ,1.92,2.43,0,4.8,1,1006230049,0,77,983071,207536,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,281.8550643,3130.194741,469183,8,0,11425,11427,14,3150,22.60333252,26.92000008,4.316667557,23.70399148,1.756463069,331.8558807 +11427,MN,915,63,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,519 3 AVENUE,C1-9, , , , , , , , , ,N,S4,4,0, ,519 THIRD AV HOLDING,1090,4434,772,3662,0,772,0,0,0,0,2,1,5,4,5,18.17,60,18,58, ,3,N,5,5,246721,573030,0,0,1920,1987,0, , ,4.07,10,2,10,1,1009150063,0,78,990478,211104,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,165.2227536,1187.908027,326309,10,0,11426,11428,6,1350,27.39299965,30.96555519,3.572555542,28.31561089,1.3850206,169.8936653 +11428,MN,180,7511,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,349 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,3500,22047,5047,17000,0,5047,0,0,0,0,2,1,6,5,6,40,87.5,0,0, ,0,Y,0,5,100635,1250736,0,0,1920,0,0,Tribeca West Historic District, ,6.3,6.02,6,6.5,1,1001807511,1370,39,981449,201068,12a, ,11S 035,10105, ,1001800024,11/10/2004,1, , ,17V1.1,7,261.4431555,3636.706127,1150100,14,0,11427,11429,16,3600,15.85299969,15.85299969,0,15.85299969,0,253.647995 +11429,MN,304,16,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,237 GRAND STREET,C6-1G, , , , , , , , , ,N,HH,5,0, ,125 BOWERY INC,3765,18012,3750,0,0,3750,0,0,0,0,2,1,5,0,4,75,50,75,50, ,3,Y,3,2,395100,1648350,0,0,1900,1989,0, , ,4.78,3.44,6,6.5,1,1003040016,0,16,985742,200942,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,259.6179062,4039.338153,1253250,0,0,11428,11430,19,4275,34.17111206,35.70666885,1.535556793,34.4305972,0.429424414,654.1813469 +11430,MN,744,12,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,349 WEST 20 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,THE EASTON FOUNDATION,1380,3110,0,2245,0,0,0,0,0,0,2,1,3,1,1,15,92,15.83,92.83, ,3,N,5,1,58784,151945,49967,129153,1910,0,0,Chelsea Historic District, ,2.25,3,0,3,1,1007440012,0,89,983757,210507,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,214.3956735,1322.492166,93161,7,0,11429,11431,6,1350,15.84222221,15.84222221,0,15.84222221,0,95.05333328 +11431,MN,882,18,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,127 EAST 26 STREET,C4-5A, , , , , , , , , ,N,B9,1,0,P,LEOPARD FILMS USA PRO,1407,3080,0,2310,0,0,0,0,0,0,2,1,3,2,2,14.25,98.75,14.25,55, ,3,N,5,1,88795,153446,0,0,1910,0,0, , ,2.19,4,4,4,1,1008820018,0,68,988759,209537,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,229.6858914,1368.135756,64651,11,0,11430,11432,6,1350,33.85400009,35.49333191,1.639331818,34.2182223,0.604094291,205.3093338 +11432,MN,572,59,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,31 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C5,2,0, ,"3868 BROADWAY REALTY,",2344,8358,2950,5408,0,2950,0,0,0,0,2,1,5,11,14,25.17,93.92,25,94, ,3,N,5,2,167850,1387800,0,0,1900,1987,0,Greenwich Village Historic District, ,3.57,3.44,3.4,6.5,1,1005720059,0,63,984843,206374,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,247.9175549,2570.855785,1219950,8,0,11431,11433,11,2475,18.70499992,23.79999924,5.094999313,19.16818168,1.464709319,210.8499985 +11433,MN,792,7503,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,130 WEST 17 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,130 WEST 17 ST CONDOM,4600,36268,11350,24918,0,0,0,0,0,11350,2,1,9,14,15,50,92,0,0, ,0,N,5,5,410400,4775194,187538,1912284,1906,1980,0, , ,7.88,6.02,6,6.5,1,1007927503,467,81,985036,208789,8d, ,103 029,10305, ,1007920054,2/8/1988,1, , ,17V1.1,7,289.0678015,4726.701412,4364790,7,0,11432,11434,19,4275,27.66555595,27.66555595,0,27.66555595,0,525.6455631 +11434,MN,924,52,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,326 EAST 19 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,VISTA REALTY CORP,3853,15306,0,15306,0,0,0,0,0,0,2,1,6,25,25,41.83,92,41.83,77, ,3,N,5,2,157500,1934100,0,0,1910,1987,0, , ,3.97,3,0,3,1,1009240052,0,48,989287,206995,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,272.1139459,3916.296765,1776600,5,0,11433,11435,17,3825,14.83555603,14.83555603,0,14.83555603,0,252.2044525 +11435,MN,530,33,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,346 BOWERY,C6-1, , , , , , , , , ,N,L9,6,0, ,MR TADAO YOSHIDA,1987,2300,2300,0,0,0,0,2300,0,0,2,1,3,0,1,26.33,75.67,30,25, ,0,Y,3,5,79200,201150,0,0,2002,0,0, , ,1.16,3.44,6,6.5,1,1005300033,0,5502,986426,203921,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,222.4285914,2272.251908,121950,9,0,11434,11436,9,2025,43.14099884,43.90244293,0.761444092,43.45961719,0.285811267,391.1365547 +11436,MN,924,9,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,309 EAST 18 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,309 EAST 18TH STREET,2290,8680,0,8680,0,0,0,0,0,0,2,1,5,20,20,25,92,25,77, ,3,Y,5,2,102600,864450,0,0,1920,0,0, , ,3.79,3,0,3,1,1009240009,0,48,989127,206974,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,241.3458987,2416.532187,761850,5,0,11435,11437,12,2700,14.83555603,17.64222145,2.806665421,15.25793537,0.862527579,183.0952244 +11437,MN,911,33,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,551 2 AVENUE,C1-8A, , , , , , , , , ,N,S5,4,0, ,551 SECOND CORP.,1516,4056,1200,2856,0,1200,0,0,0,0,2,1,4,6,7,19.67,77,20,56,E,3,N,5,2,135132,377861,0,0,1910,0,0, , ,2.68,7.52,2,7.5,1,1009110033,0,70,990405,209850,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,195.7935161,1459.656487,242729,10,0,11436,11438,7,1575,29.22888947,32.25855637,3.029666901,29.71839741,1.046018026,208.0287819 +11438,MN,494,14,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,46 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,WAH KOK REALTY CORP,1800,9436,1260,8176,0,1260,0,0,0,0,2,1,6,15,17,25.33,75,25,74, ,3,Y,3,2,81000,3326850,0,0,1900,0,0, , ,5.24,6.02,6,6.5,1,1004940014,0,43,985451,202743,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,206.2094799,2040.697898,3245850,0,0,11437,11439,8,1800,38.86500168,40.83111191,1.966110229,39.41389036,0.819079489,315.3111229 +11439,MN,905,7502,106,66,5000,2,2,10010,E016,13,14,5800,1,6, ,225 EAST 24 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,3835,19580,5200,14380,0,3100,0,2100,0,0,2,1,5,4,5,38.38,98.75,38.38,92.58, ,0,N,0,5,42415,680646,4720,4720,1915,0,0, , ,5.11,4,0,4,1,1009057502,1667,66,989434,208574,8d, ,104 007,10308, ,1009050017,5/17/2007,1, , ,17V1.1,7,280.6141316,3887.67044,638231,11,0,11438,11440,16,3600,26.78800011,26.78800011,0,26.78800011,0,428.6080017 +11440,MN,468,27,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,236 EAST 13 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,NEXT GENERATION 13THS,12906,53412,8902,44510,0,8902,0,0,0,0,2,3,6,84,90,125,103.25,41,91, ,3,N,5,2,1224000,5391450,0,0,1900,1989,0, , ,4.14,4,0,4,1,1004680027,0,40,988050,205878,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,462.7183915,13298.21029,4167450,12,0,11439,11441,60,13500,28.72333336,33.16555405,4.442220688,28.9490778,0.88353587,1736.944668 +11441,MN,406,61,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,507 EAST 12 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C6,2,0,P,507 EAST TWELFTH OWNE,2581,8750,0,8750,0,0,0,0,0,0,2,2,5,13,13,25,103.25,25,50, ,0,N,5,2,135000,976500,11800,11800,1900,1985,0, , ,3.39,4,0,4,1,1004060061,0,34,989594,204901,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.6156124,2710.027368,841500,12,0,11440,11442,11,2475,13.0880003,15.4911108,2.403110504,13.787293,0.942175187,151.660223 +11442,MN,791,71,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,148 WEST 16 STREET,R8A, , , , , , , , , ,N,C6,2,0, ,148 16 HOUSING CORP,2151,6705,0,6705,0,0,0,0,0,0,2,1,4,8,8,20.83,103.25,21,76, ,2,N,5,1,70462,328328,4720,4720,1920,1987,0, , ,3.12,6,0,6,1,1007910071,0,81,984806,208634,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,256.3193762,2318.608882,257866,7,0,11441,11443,11,2475,27.87888908,29.88555527,2.006666183,28.11949505,0.571669268,309.3144455 +11443,MN,458,23,103,36.02,2000,1,2,10003,E028,9,14,6500,1,3,3B,32 EAST 3 STREET,C6-2A, , , , , , , , , ,N,C0,2,0, ,ANIL SAHAI & SUDHA SA,1311,3680,0,2760,0,0,0,0,0,0,2,1,3,3,3,23,57.33,23,40, ,3,Y,5,1,23184,42756,0,0,1899,0,0,East Village/Lower East Side Historic Di, ,2.81,6.02,6,6.5,1,1004580023,0,3602,986916,203636,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,167.4370839,1433.092142,19572,1,0,11442,11444,6,1350,37.60888672,37.60888672,0,37.60888672,0,225.6533203 +11444,MN,911,35,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,555 2 AVENUE,C1-8A, , , , , , , , , ,N,S5,4,0, ,5557 LLC,1516,3958,1200,2758,0,1200,0,0,0,0,2,1,4,6,7,19.67,77,20,65,E,3,N,5,0,188753,524880,0,0,1910,1989,0, , ,2.61,7.52,2,7.5,1,1009110035,0,70,990424,209885,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,198.0761851,1550.707643,336127,10,0,11443,11445,8,1800,29.22888947,29.22888947,0,29.22888947,0,233.8311157 +11445,MN,641,51,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,70 JANE STREET,R6, , , , , , , , , ,N,A4,1,0, ,GO FOR YOUR LIFE NYC,1352,2832,0,2124,0,0,0,0,0,0,2,1,3,1,1,15.5,80,15.5,50, ,3,Y,5,1,34516,186700,0,0,1905,1973,2004,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1006410051,0,79,982344,208136,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,201.7122825,1321.622617,152184,8,0,11444,11446,5,1125,12.27999973,12.27999973,0,12.27999973,0,61.39999866 +11446,MN,448,30,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,107 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,JEISON REALTY CORP,2267,8507,1250,7257,0,1250,0,0,0,0,2,1,5,8,9,22.67,100,23,74, ,3,N,5,2,32260,157244,0,0,1910,0,2011, , ,3.75,4,0,4,1,1004480030,0,38,988060,204090,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,256.4461876,2567.71558,124984,12,0,11445,11447,12,2700,26.56777763,27.45000076,0.882223129,27.14915784,0.197109898,325.7898941 +11447,MN,22,24,101,9,1002,2,1,10004,L015,1,15,7700,1,1, ,50 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,50 BROADWAY REALTY CO,13323,300676,300676,0,279778,20398,0,500,0,0,2,1,38,0,66,81.83,175.07,82,175, ,3,Y,4,2,5985000,27477450,0,0,1927,2003,2003, , ,22.57,10,15,15,1,1000220024,0,9,980801,196576,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,516.880851,14214.6036,21492500,17,0,11446,11448,64,14400,16.9260006,31.52111053,14.59510994,18.01358041,3.74123628,1152.869146 +11448,MN,796,73,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,183 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,O5,5,0,P,NORTH SIDE REALTY COR,3910,23010,15340,7670,7670,2557,0,0,0,5113,2,1,6,5,12,46,85,46,82, ,3,N,3,2,549000,1738350,0,0,1910,0,0, , ,5.88,6,0,6,1,1007960073,0,87,985251,209814,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,275.0033989,4360.260929,1189350,7,0,11447,11449,20,4500,28.3488884,30,1.651111603,28.75444403,0.628885571,575.0888805 +11449,MN,195,1,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,380 BROADWAY,C6-2A, , , , , , , , , ,N,L8,6,0, ,380 BROADWAY LLC,5522,27265,27265,0,16245,5500,0,0,0,5520,2,1,5,0,7,31.33,175.92,31,176, ,2,N,3,2,434250,2160900,0,0,1915,1980,0,Tribeca East Historic District, ,4.94,6.02,6,6.5,1,1001950001,0,31,983534,200837,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,429.4958994,6090.845535,1726650,14,0,11448,11450,27,6075,17.90200043,20.96311188,3.06111145,18.01537493,0.578098778,486.415123 +11450,MN,882,89,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,377 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,O6,5,0,P,377 PK EQUITIES INC,2242,16312,16312,0,12722,2000,0,0,0,1590,2,1,8,0,9,22.42,100,22.42,88,E,3,N,5,2,526500,2169900,0,0,1914,1987,0, , ,7.28,10,10,10,1,1008820089,0,68,988566,209715,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,251.1791189,2380.183626,1643400,11,0,11449,11451,11,2475,33.85400009,35.17266846,1.318668365,34.09022245,0.501171879,374.9924469 +11451,MN,799,21,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,137 WEST 23 STREET,C6-3X, , , , , , , , , ,N,N9,8,0,P,ASSOCIATED BLIND ETAL,21231,159606,11105,148501,0,0,0,0,0,11105,2,1,12,210,210,215,98.75,203,95, ,1,N,5,2,2581650,14635800,2581650,14635800,1980,0,0, , ,7.52,9,6,9,1,1007990021,0,91,985869,210255,8d, ,105S011,10305, ,1007990021,8/26/2013,1, , ,17V1.1,0,636.9809538,22309.84265,12054200,2,0,11450,11452,99,22275,29.26199913,31.74222183,2.480222702,29.53541792,0.593237847,2924.006374 +11452,MN,389,44,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,633 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,633 E. SIXTH ST. LLC,2271,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,55, ,3,N,5,2,13012,57721,0,0,1910,1986,0, , ,3.08,4,0,4,1,1003890044,0,2602,989822,203047,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,239.8663889,2329.85899,44709,12,1,11451,11453,11,2475,9.168999672,9.897777557,0.728777885,9.360191605,0.251135294,102.9621077 +11453,MN,717,70,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,452 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,WILLIAM J COX,1533,3920,0,3920,0,0,0,0,0,0,2,1,4,4,4,16.67,92,17,56, ,3,N,5,2,70193,298175,0,0,1910,1982,0,Chelsea Historic District, ,2.56,3,0,3,1,1007170070,0,89,982869,210827,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,222.5658342,1578.743726,227982,7,1,11452,11454,6,1350,9.621110916,9.621110916,0,9.621110916,0,57.7266655 +11454,MN,450,54,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,41 ST MARKS PLACE,R8B,R7A, , ,C1-5, , , , , ,Y,S5,4,0, ,YOOMEE CORP.,1211,3844,961,2883,0,961,0,0,0,0,2,1,4,6,7,28.5,42.5,23,36,E,3,N,5,1,54518,148565,0,0,1900,1986,0, , ,3.17,4,0,4,1,1004500054,0,38,987831,204693,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,135.2453859,1118.76739,94047,12,0,11453,11455,6,1350,25.4810009,25.4810009,0,25.4810009,0,152.8860054 +11455,MN,279,105,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,25 OLIVER STREET,R7-2, , , , , , , , , ,N,C3,2,0, ,"HOM, ATHENA PATRICIA",1600,3270,0,3270,0,0,0,0,0,0,2,2,3,4,4,21.1,77.5,21.1,77.5, ,0,N,5,5,29533,166566,2360,2360,1880,0,0, , ,2.04,3.44,0,6.5,1,1002790105,0,27,984770,198790,12d, ,101S029,10107, ,1002790006,12/6/1991,1, , ,17V1.1,0,197.5421623,1750.169485,137033,16,0,11454,11456,8,1800,16.23777771,17.30066681,1.062889099,16.86486125,0.380032697,134.91889 +11456,MN,75,7503,101,15.02,2002,2,1,10038,E006,1,15,7700,1,1, ,30 CLIFF STREET,C6-4, , , , , ,LM, , , ,N,RC,5,0,X,OWNER / AGENT,2560,16976,16976,0,2324,0,0,0,0,14652,2,1,6,0,6,26.3,96.4,0,0, ,0,Y,5,5,539997,2414101,539997,2414101,1900,0,0, , ,6.63,10,10,10,1,1000757503,806,1502,982856,197253,12b, ,101S012,10102, ,1000750045,2/8/1992,1,1,1,17V1.1,7,252.5657322,2651.400536,1874100,4,1,11455,11457,13,2925,13.35599995,14.83955574,1.483555794,13.47011962,0.395322155,175.1115551 +11457,MN,875,29,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,131 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,C6,2,0, ,EAST 19 ST HOUSING,1896,8742,0,8742,0,0,0,0,0,0,2,1,5,5,5,24,79,24,67, ,3,N,5,2,107931,524379,7490,7490,1930,0,0,Gramercy Park Historic District, ,4.61,4,0,4,1,1008750029,0,50,988175,207774,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,213.320421,1983.875405,416448,5,0,11456,11458,8,1800,25.84222221,26.53777695,0.695554733,25.92916656,0.230033106,207.4333324 +11458,MN,144,1,101,33,3023,2,1,10013,E007,1,15,7700,1,1,3A,16 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,ONE HUDSON PARK INC,16026,78306,11490,66816,490,2210,0,0,0,0,2,3,6,25,33,199.83,134.33,196,132, ,0,Y,1,2,2119500,8946900,11800,11800,1915,1979,0,Tribeca West Historic District, ,4.89,6.02,6,6.5,1,1001440001,0,33,981792,200305,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,571.9313857,17019.27095,6827400,14,0,11457,11459,75,16875,16.48666573,17.60777855,1.121112823,17.22159999,0.145383654,1291.619999 +11459,MN,390,59,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,193 EAST 7 STREET,R8B, , , , , , , , , ,N,C3,2,0,P,"ASHOURZADEH, MANOUCHE",1220,4140,0,4140,0,0,0,0,0,0,2,1,4,4,4,20,65.17,20,40, ,3,Y,5,5,26638,168936,0,0,1910,1985,0, , ,3.39,4,0,4,1,1003900059,0,2602,989689,203379,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,172.098219,1357.986042,142298,12,1,11458,11460,6,1350,9.445555687,10.43999958,0.994443893,9.725000064,0.405341637,58.35000038 +11460,MN,590,26,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,6 JONES STREET,R6, , , ,C1-5, , , , , ,N,C4,2,0,P,6 JONES STREET ASSOCI,2522,10902,0,10902,0,0,0,0,0,0,2,1,6,24,24,25,100.33,25,74, ,3,N,5,2,247500,1602000,0,0,1900,1986,0,Greenwich Village Historic District Exte, ,4.32,2.43,0,4.8,1,1005900026,0,67,983739,205973,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,252.5269369,2536.6728,1354500,9,0,11459,11461,11,2475,17.54000092,19.71333313,2.173332214,17.91020272,0.787493378,197.0122299 +11461,MN,476,25,102,47,2001,2,3,10013,L008,1,15,6800,1,2,1A,519 BROOME STREET,M1-5B, , , , , , , , , ,N,O5,5,0,P,IS-ILA REALTY CORP,1210,5200,5200,0,4450,750,0,0,0,0,2,1,5,0,5,20,60.5,20,52, ,2,Y,5,2,135000,1658250,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.3,0,5,6.5,1,1004760025,0,47,983167,202915,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,164.9346255,1243.963957,1523250,0,1,11460,11462,5,1125,9.686666489,9.686666489,0,9.686666489,0,48.43333244 +11462,MN,123,3,101,21,1008,2,1,10007,L010,1,15,7700,1,1, ,21 BARCLAY STREET,C5-3, , , , , ,LM, , , ,N,O2,5,0, ,22 PARK PLACE,1880,7460,7460,0,3760,0,3700,0,0,0,2,1,3,0,3,25,75.25,25,75.25, ,0,Y,5,2,182250,604350,0,0,1951,0,0, , ,3.97,10,15,15,1,1001230003,0,21,981825,198866,12b, ,101S019,10104, ,0, ,1, , ,17V1.1,0,204.4454059,1930.461772,422100,3,0,11461,11463,10,2250,25.9011116,25.9011116,0,25.9011116,0,259.011116 +11463,MN,798,7507,104,91,1004,2,3,10011,L012,13,15,5200,2,4, ,124 WEST 23 STREET,C6-3X, , , , , , , , , ,N,RM,4,0, , ,4937,43238,3757,39481,0,3757,0,0,0,0,2,1,16,29,30,50,98.75,0,0, ,0,N,0,5,1489502,8325001,0,4104201,2011,0,0, , ,8.76,9,6,9,1,1007987507,2317,91,985935,209995,8d, ,15S 011,10305, ,1007980057,10/24/2012,1, , ,17V1.1,7,300.2268037,4986.114453,6835500,2,0,11462,11464,23,5175,28.16444397,32.40999985,4.245555878,28.7252655,1.14667978,660.6811066 +11464,MN,190,7502,101,33,3013,2,1,10013,E007,1,15,7700,3,1, ,9 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,1808,3041,1270,1771,0,1270,0,0,0,0,2,1,6,4,5,0.04,0,0,0, ,0,N,0,5,55855,685447,4720,4720,1893,0,0, , ,1.68,6.02,6,6.5,1,1001907502,870,33,982496,201563,12a, ,101N041,10105, ,1001900048,3/1/1994,1, ,1,17V1.1,7,200.2827296,1878.457339,629592,14,1,11463,11465,10,2250,9.793333054,9.793333054,0,9.793333054,0,97.93333054 +11465,MN,270,32,103,6,4000,2,1,10002,E015,7,14,7800,1,3,1B,227 MADISON STREET,R7-2, , , ,C1-5, , , , , ,N,I1,8,0,C,HEALTH AND HOSPITALS,73313,550232,550232,0,0,0,0,0,0,450232,2,2,14,0,2,366,200,223,167,E,1,Y,1,5,6750000,154701900,6750000,154701900,1970,1988,2009, , ,7.51,3.44,0,6.5,1,1002700032,0,6,987636,199113,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,1162.059789,78677.49064,147952000,16,0,11464,11466,348,78300,17.52666664,26.89888954,9.3722229,19.4125086,2.516012956,6755.552994 +11466,MN,620,41,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,213 WEST 10 STREET,C1-6, , , , , , , , , ,N,D7,4,0, ,215 WEST TENTH STREET,4314,20599,3434,17165,0,3434,0,0,0,0,2,1,6,25,32,49.58,87,49,87, ,3,N,3,2,1125000,8997300,0,0,1920,1976,1987,Greenwich Village Historic District, ,4.77,3.44,2,6.5,1,1006200041,0,73,983017,206770,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,282.9862404,4705.161778,7872300,9,0,11465,11467,21,4725,24.70777702,24.70777702,0,24.70777702,0,518.8633175 +11467,MN,624,47,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,288 WEST 12 STREET,R6, , , , , , , , , ,N,C6,2,0, ,288 W 12 ST TENANTS C,1631,3432,0,3432,0,0,0,0,0,0,2,1,4,8,8,25.25,65,25,39, ,3,Y,5,2,83896,252105,0,0,1915,1987,0,Greenwich Village Historic District, ,2.1,2.43,0,4.8,1,1006240047,0,77,983121,207926,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,176.3829699,1525.415772,168209,8,0,11466,11468,5,1125,20.58111191,22.51000023,1.928888321,20.96688957,0.771555328,104.8344479 +11468,MN,124,9,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,21 PARK PLACE,C6-4, , , , , ,LM, , , ,N,K4,4,0,P,21 PARK PLACE REALTYI,1917,12000,12000,0,0,5751,0,6249,0,0,2,1,5,0,1,25.33,76,25.33,76, ,0,Y,5,5,345150,1278450,0,0,1915,0,0, , ,6.26,10,10,10,1,1001240009,0,21,981861,199123,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,214.333918,2011.732779,933300,3,0,11467,11469,8,1800,33.17499924,33.17499924,0,33.17499924,0,265.3999939 +11469,MN,889,39,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,166 EAST 34 STREET,C1-9, , , , , , , , , ,N,D6,4,0, ,"DS & D LAND COMPANY,",15553,182767,20000,162767,0,12000,8000,0,0,0,2,1,20,218,223,197.5,60,174,88, ,0,Y,3,1,2799000,25150950,0,0,1975,0,0, , ,11.75,10,2,10,1,1008890039,0,72,990159,210871,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,630.6169476,17482.28151,22352000,10,0,11468,11470,78,17550,24.63888931,29.8077774,5.168888092,25.10732934,1.066283958,1958.371689 +11470,MN,406,53,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,523 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,JMS VILLAGE LLC,2891,10930,1100,9830,0,1100,0,0,0,0,2,1,5,18,20,28,103.25,28,82, ,3,N,5,2,153000,744300,0,0,1900,1985,0, , ,3.78,4,0,4,1,1004060053,0,34,989771,204803,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,266.8387301,2881.362659,591300,12,1,11469,11471,13,2925,13.0880003,13.0880003,0,13.0880003,0,170.1440039 +11471,MN,928,31,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,385 1 AVENUE,C1-9A, , , , , , , , , ,N,D6,4,0, ,MF 385 FIRST AVE LLC,9875,150800,8500,142300,5000,3500,0,0,0,0,2,1,20,140,143,98.67,100,98.67,100, ,0,N,3,5,1422000,21112650,0,0,2002,0,0, , ,15.27,10,2,10,1,1009280031,0,64,990063,207707,12c, ,104 009,10309,E-62,0, ,1, , ,17V1.1,0,407.4909048,10375.44316,19690700,11,0,11470,11472,47,10575,14.22500038,14.86222172,0.637221336,14.25789632,0.123078147,670.1211271 +11472,MN,528,24,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,64 DOWNING STREET,C2-6, , , , , , , , , ,N,K1,5,0, ,64 DOWNING STREET LLC,1192,1192,1192,0,0,1192,0,0,0,0,2,1,1,0,1,25,47.67,25,48, ,3,N,5,2,187650,776250,0,0,1900,0,0, , ,1,3.44,2,6.5,1,1005280024,0,67,982898,204812,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,147.8297966,1236.737453,588600,9,0,11471,11473,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +11473,MN,275,19,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,24 MARKET STREET,R7-2, , , , , , , , , ,N,S3,4,0, ,VIN LUNG REALTY CORP,1445,4948,1100,3848,0,1100,0,0,0,0,2,1,4,3,4,22.25,67,22,54, ,3,Y,3,5,59786,249080,0,0,1900,0,0, , ,3.42,3.44,0,6.5,1,1002750019,0,8,985852,199015,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,183.4885408,1599.390759,189294,16,0,11472,11474,7,1575,30.54333305,34.33666611,3.793333054,31.08523778,1.327390058,217.5966644 +11474,MN,402,64,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,503 EAST 6 STREET,R7A, , , ,C2-5, , , , , ,N,C4,2,0,P,MORA MANAGEMENT CORP,2271,7285,1000,6285,0,1000,0,0,0,0,2,1,5,8,9,25,90.83,25,80,E,2,N,5,2,10223,57721,0,0,1920,1988,0, , ,3.21,4,0,4,1,1004020064,0,32,988844,203588,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,234.4805794,2235.434985,47498,1,0,11473,11475,10,2250,12.85000038,17.40999985,4.559999466,14.31477804,1.829435967,143.1477804 +11475,MN,921,51,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,318 EAST 15 STREET,R8A, , , , , , , , , ,N,H8,8,0,P,BOOTH 15 PROPERTY LLC,16176,112898,8500,0,0,0,8500,0,0,0,2,1,12,140,141,156.67,103.25,157,93, ,3,N,5,2,3330000,22684050,0,0,1965,2009,2011, , ,6.98,6,0,6,1,1009210051,0,48,988759,206141,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,522.8847086,16463.38624,19354100,5,0,11474,11476,73,16425,21.21777725,28.34111023,7.123332977,23.41508803,2.734327263,1709.301426 +11476,MN,288,42,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,513 GRAND STREET,R7-2, , , , , , , , , ,N,A9,1,0, ,"BOBCO, ANN",818,1236,0,1236,0,0,0,0,0,0,2,1,2.5,1,1,17,47,17,29, ,3,Y,5,2,10226,39358,0,0,1899,0,2009, ,513 GRAND STREET HOUSE,1.51,3.44,0,6.5,1,1002880042,0,202,989216,199560,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,131.184865,849.780902,29132,13,0,11475,11477,3,675,29.70800018,29.99488831,0.286888123,29.80362956,0.135240358,89.41088867 +11477,MN,556,20,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,64 3 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,64 THIRD AVE. ASSOCS.,3935,9402,2870,6532,0,2870,0,0,0,0,2,1,4,10,11,23.58,100,23.58,99,E,2,Y,2,2,232650,2534850,0,0,1900,1998,0, , ,2.39,6.02,6,6.5,1,1005560020,0,42,987281,205739,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,395.7325833,4089.644872,2302200,12,0,11476,11478,19,4275,37.71221924,38.56666946,0.854450226,37.81598001,0.259825409,718.5036201 +11478,MN,794,7502,104,87,1003,2,3,10011,L012,13,15,5600,1,4, ,163 WEST 18 STREET,C6-2A, , , , , , , , , ,N,R4,3,0, , ,6265,30904,1168,30459,0,0,723,445,0,0,2,1,12,26,26,70,89.5,70,88, ,2,Y,0,5,1007657,6114954,9440,9440,2006,0,0, , ,4.93,6.02,6,6.5,1,1007947502,1638,87,985040,209240,8d, ,103 029,10305, ,1007940008,3/22/2007,1, , ,17V1.1,7,328.3311888,6591.901211,5107300,7,0,11477,11479,29,6525,27.66555595,27.66555595,0,27.66555595,0,802.3011227 +11479,MN,309,6,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,54 ORCHARD STREET,C6-2, , , , , , , , , ,N,D1,3,0, ,"54 ORCHARD, LLC",4375,33860,3400,30460,1700,1700,0,0,0,0,2,2,11,33,35,25,87.5,50,87.5, ,0,N,5,2,360000,3774150,0,0,2007,0,0, , ,7.74,6.02,6,6.5,1,1003090006,0,16,986811,200351,12c, ,101N051,10107, ,1003090006,1/30/2009,1, , ,17V1.1,0,283.1429484,4591.980051,3414150,13,0,11478,11480,20,4500,34.44444275,39.2788887,4.834445953,34.9588707,1.408985741,699.1774139 +11480,MN,36,12,101,7, ,2,1,10005, ,1,15,7700,1,1,1B, PIER 9,C4-6, , , , , ,LM, , , ,N,Y7,7,0,C,NYC DSBS,320800,320800,320800,0,0,0,0,0,0,320800,2,1,0,0,0,534,604.83,0,604.83, ,0,N,9,5,9180000,11466900,9180000,11466900,1900,0,0, , ,1,10,3.4,10,1,1000360012,0,7,0,0,12b, ,101S101,10101, ,0, ,1,1,1,17V1.1,0,1213.014312,33072.57501,2286900,17,1,11479,11481,132,29700,5.993332863,7.803333282,1.81000042,6.871683533,0.331747638,907.0622263 +11481,MN,73,8,101,15.02,2014,2,1,10038,E006,1,15,7700,1,1, ,PIER-16 SOUTH STREET,C4-6, , , , , ,LM, , , ,N,T2,7,0,C,NYC DSBS,146025,35691,35691,0,0,0,0,0,0,35691,2,4,1,0,0,238,597.67,0,557.67, ,0,Y,2,5,3235500,4506750,3235500,4506750,1900,0,0,South Street Seaport Historic District, ,0.24,10,3.4,10,1,1000730008,0,1502,983551,196141,12b, ,101N103,10102, ,0, ,1,1,1,17V1.1,0,1696.844805,56076.5929,1271250,4,1,11480,11482,197,44325,0,9.172222137,9.172222137,6.82605699,1.459195414,1344.733227 +11482,MN,780,2,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,404 8 AVENUE,C6-3X, , , , , , , , , ,N,C7,4,0,P,ZIK REALTY CORP.,2500,9725,1200,8525,0,1200,0,0,0,0,2,1,5,12,13,25,100,25,88, ,0,N,5,2,128250,631350,0,0,1900,0,0, , ,3.89,9,6,9,1,1007800002,0,101,985669,212412,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,258.3793859,2789.026229,503100,6,0,11481,11483,13,2925,31.09600067,31.09600067,0,31.09600067,0,404.2480087 +11483,MN,438,42,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,271 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,PETER HERRICK,2369,9035,1807,7228,0,1807,0,0,0,0,2,1,5,18,20,25,94.75,25,70, ,3,N,5,2,53550,975150,0,0,1900,1987,0, , ,3.81,4,0,4,1,1004380042,0,34,988974,204648,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.1965074,2480.874733,921600,12,0,11482,11484,12,2700,17.98900032,20.34222221,2.353221893,18.46044461,0.741490473,221.5253353 +11484,MN,540,13,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,128 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,7 MON LLC,2500,11868,1775,10093,0,1775,0,0,0,0,2,1,5,20,22,25,100,25,88, ,2,N,5,1,292050,2068650,0,0,1910,1966,0,South Village Historic District, ,4.75,3.44,0,6.5,1,1005400013,0,65,984208,205243,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,255.743462,2549.908684,1776600,9,0,11483,11485,12,2700,22.5755558,23.18966675,0.614110947,22.62673171,0.169731299,271.5207806 +11485,MN,861,12,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,15 EAST 31 STREET,C5-2, , , , , , , , , ,N,L8,6,0,P,"BR 31, LLC",2160,15004,15004,0,0,1739,0,13265,0,0,2,1,8,0,8,21.83,98.75,22,94,E,3,N,5,2,337950,759150,0,0,1925,1988,0, , ,6.95,10,10,10,1,1008610012,0,74,988461,211170,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,252.8238399,2230.252472,421200,10,0,11484,11486,10,2250,38.80799866,39.24666595,0.438667297,38.8908432,0.166049333,388.908432 +11486,MN,531,41,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,352 BOWERY,M1-5B, , , , , , , , , ,N,S2,4,0, ,"THREE TO GET READY, L",2016,5275,1758,3517,0,1758,0,0,0,0,2,1,3,2,3,24.08,77.5,24.08,77, ,3,Y,5,2,49915,111831,0,0,1920,0,0, , ,2.62,0,5,6.5,1,1005310041,0,5502,986465,204073,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,231.0237704,2415.648696,61916,9,0,11485,11487,10,2250,41.26444626,41.26444626,0,41.26444626,0,412.6444626 +11487,MN,582,28,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,21 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K2,5,0,P,BISHMINKEB REALTY INC,1370,2696,2696,0,0,2696,0,0,0,0,2,1,2,0,1,49.75,19.58,43.92,19.58, ,0,Y,3,5,132300,456459,0,0,1956,0,0, , ,1.97,3.44,2,6.5,1,1005820028,0,67,983009,205325,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,159.6937393,1460.184132,324159,9,0,11486,11488,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +11488,MN,863,62,105,74,2000,2,2,10016,L007,14,15,5200,1,5,1A,179 MADISON AVENUE,C5-2, , , , , , , , , ,N,C7,4,0, ,179 MADISON AVENUE RE,2469,9271,1800,7471,0,1800,0,0,0,0,2,1,5,7,9,24.67,100,25,90,E,2,N,5,1,174728,721714,0,0,1925,1985,0, , ,3.75,10,10,10,1,1008630062,0,74,988993,211568,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,252.6550054,2504.345828,546986,10,0,11487,11489,11,2475,49.51499939,51.18888855,1.67388916,49.68287832,0.478799715,546.5116615 +11489,MN,492,37,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,196 BOWERY,C6-1, , , , , ,LI, , , ,N,D6,4,0, ,BOWERY SQUARE CORP,2489,15128,2500,12628,0,2500,0,0,0,0,2,1,8,7,8,25.17,100,25,100, ,3,N,5,0,101072,1247805,0,365002,2008,0,0, , ,6.08,3.44,6,6.5,1,1004920037,0,43,985901,202066,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,256.7844714,2606.273228,1146730,0,0,11488,11490,10,2250,39.76666641,41.27222443,1.505558014,39.98855553,0.477828557,399.8855553 +11490,MN,390,55,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,199 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,E 7TH DEV CORP,4103,15986,0,15986,0,0,0,0,0,0,2,1,5,19,19,40,97.5,40,86, ,2,Y,5,2,225000,967950,42939,42939,1935,0,0, , ,3.9,4,0,4,1,1003900055,0,2602,989759,203363,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,308.6541669,3991.884475,742950,12,1,11489,11491,17,3825,9.445555687,9.856666565,0.411110878,9.46973868,0.096731971,160.9855576 +11491,MN,597,38,102,37,1012,2,3,10013,E024,1,15,6800,1,2,1B,535 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,W9,8,0, ,535 GREENWICH LLC,2500,4725,2325,2400,63,2262,0,0,0,0,2,1,2,1,2,25.17,99.75,25.16,99.75, ,3,Y,5,0,231750,907200,0,0,1900,1981,2003, , ,1.89,0,10,10,1,1005970038,0,37,981855,204110,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,258.1391927,2732.506116,675450,0,1,11490,11492,13,2925,10.99400043,10.99400043,0,10.99400043,0,142.9220057 +11492,MN,202,30,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,40 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,YEE KEN KWAN,2000,3666,3666,0,1000,2666,0,0,0,0,2,1,3.5,0,3,16.67,120,17,120,E,3,N,5,2,208350,653850,0,0,1910,0,0, , ,1.83,3.44,6,6.5,1,1002020030,0,29,985102,199975,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,278.8176654,2044.39545,445500,14,0,11491,11493,9,2025,42.4090004,42.4090004,0,42.4090004,0,381.6810036 +11493,MN,589,7,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,249 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S1,4,0, ,MACAULAY MARY I,1034,2604,443,2161,0,443,0,0,0,0,2,1,4,1,2,15.67,66,15.67,40, ,3,N,5,0,49357,123648,1550,1550,1910,0,0,Greenwich Village Historic District Exte, ,2.52,3.44,0,6.5,1,1005890007,0,67,983517,205599,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,171.442812,1152.606635,74291,9,0,11492,11494,6,1350,17.07900047,20.22999954,3.150999069,17.60416698,1.174308019,105.6250019 +11494,MN,299,18,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,74 HESTER STREET,C6-2, , , , , , , , , ,N,D5,3,0, ,HCKD CANAL REALTY COR,1463,8377,1425,6952,0,1425,0,0,0,0,2,1,6,10,12,19.67,75.17,19,75, ,0,Y,3,2,135000,895500,0,0,1900,1992,0, , ,5.73,6.02,6,6.5,1,1002990018,0,16,986540,200125,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,190.3504391,1549.572719,760500,13,0,11493,11495,8,1800,36.52555466,39.36555481,2.840000153,37.15405512,0.99482721,297.2324409 +11495,MN,440,28,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,440 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,KC3 - 438-440 EAST 13,2504,9135,0,9135,0,0,0,0,0,0,2,1,5,20,20,24.25,103.25,24,84, ,3,N,5,0,104400,749250,0,0,1900,1987,0, , ,3.65,4,0,4,1,1004400028,0,34,989340,205162,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,262.8920258,2587.542406,644850,12,0,11494,11496,11,2475,16.59444427,19.25,2.655555725,17.07666657,1.022948956,187.8433323 +11496,MN,424,40,103,18,5002,2,1,10002,L006,5,14,7400,1,3,1A,334 BROOME STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,PATJEN RLTY CORP,3747,15273,2500,12773,0,2500,0,0,0,0,2,1,6,21,23,40,93.67,40,79, ,3,N,5,2,171000,679500,0,0,1900,0,0, , ,4.08,3.44,6,6.5,1,1004240040,0,18,985953,201384,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,270.3961933,3835.520409,508500,0,0,11495,11497,18,4050,35.63777924,35.63777924,0,35.63777924,0,641.4800262 +11497,MN,495,38,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,219 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,"219 MULBERRY, LLC",3290,16162,2400,13762,0,2400,0,0,0,0,2,1,6,25,27,44.17,74.42,44,62, ,2,N,5,1,213750,1350000,0,0,1920,1989,0, , ,4.91,6.02,6,6.5,1,1004950038,0,43,985263,202439,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,241.1452364,3374.832971,1136250,0,0,11496,11498,15,3375,37.57110977,37.95999908,0.388889313,37.59703573,0.097006038,563.9555359 +11498,MN,791,36,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,555 AVENUE OF THE AMER,C6-2A,R8A,R8B, , , , , , , ,Y,D9,3,0,P,SP 555 SIXTH LLC,30975,195442,78085,117357,27585,19000,31500,0,0,0,2,1,6,163,168,206.5,150,200,150, ,1,N,3,1,7200000,23306850,0,0,1974,2013,2013, , ,6.31,6.02,6,6.5,1,1007910036,0,81,985220,208344,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,732.698008,32634.60094,16106900,7,0,11497,11499,146,32850,27.87888908,32.48110962,4.602220535,28.08802908,0.819756328,4100.852245 +11499,MN,190,7501,101,33,3014,2,1,10013,E007,1,15,7700,3,1, ,39 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,MOORE STREET BLDG CO,4732,32426,4550,27876,0,4550,0,0,0,0,2,1,6,11,12,0.1,175,0,0, ,0,N,3,5,349200,3038851,29386,115445,1909,0,0,Tribeca West Historic District, ,6.85,6.02,6,6.5,1,1001907501,836,33,982049,201672,12a, ,101N041,10105, ,1001900012,9/2/1993,1, , ,17V1.1,7,412.3043542,4745.352652,2689650,14,0,11498,11500,21,4725,15.75599957,15.75599957,0,15.75599957,0,330.8759909 +11500,MN,271,55,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,158 HENRY STREET,R7-2, , , , , , , , , ,N,M1,8,0,X,WORLD BUDDHIST CENTRE,2608,6000,6000,0,0,0,0,0,0,6000,2,1,0,0,1,26.08,100,0,0, ,0,N,5,5,304650,577350,304650,577350,2009,0,0, , ,2.3,3.44,0,6.5,1,1002710055,0,6,987169,199120,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,258.609529,2708.992245,272700,16,0,11499,11501,12,2700,17.59499931,24.81222153,7.217222214,19.72949028,2.73511886,236.7538834 +11501,MN,415,69,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,135 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,135 ORCHARD STREET LL,2192,11255,4690,6565,0,2090,0,1500,0,1100,2,1,5,11,13,25,87.67,25,86, ,3,N,4,2,270000,1442700,0,0,1900,2000,0, , ,5.13,4,4,4,1,1004150069,0,18,987136,201551,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,232.9247774,2258.372237,1172700,13,0,11500,11502,10,2250,37.4659996,38.35555649,0.889556885,37.55495529,0.266867065,375.5495529 +11502,MN,564,7501,102,61,3002,2,2,10003,L003,6,15,5700,3,2, ,835 BROADWAY,C6-1, , , , , , , , , ,N,RM,4,0, , ,4900,24899,8974,15925,0,8974,0,0,0,0,2,2,5,7,11,24.83,135.02,24,135, ,0,Y,3,5,621000,3614851,54131,286397,1910,2005,0, , ,5.08,3.44,6,6.5,1,1005647501,1414,61,986638,206706,12c, ,103 026,10207, ,1005640015,3/10/2005,1, , ,17V1.1,7,458.207437,5323.403044,2993850,8,0,11501,11503,23,5175,38.11633301,41.80222321,3.685890198,38.73242967,1.343892574,890.8458824 +11503,MN,478,20,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,8 SPRING STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,"FAV SPRING, LLC",2562,10064,1500,8564,0,1500,0,0,0,0,2,1,5,18,20,25.17,108.5,25,83, ,3,Y,5,2,74250,1179900,0,0,1900,2013,2013, , ,3.93,6.02,6,6.5,1,1004780020,0,41,985775,201954,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,257.9773301,2513.114046,1105650,0,0,11502,11504,12,2700,38.05444717,41.28777695,3.233329773,38.82676125,1.341130628,465.9211349 +11504,MN,174,22,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,85 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,K4,4,0,P,85 FRANKLIN LLC,2433,4300,4300,0,2150,2150,0,0,0,0,2,1,2,0,3,24.33,100,24,95, ,3,N,5,2,118800,727200,0,0,1915,0,0,Tribeca East Historic District, ,1.77,6.02,6,6.5,1,1001740022,0,33,982911,200794,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,258.2759819,2533.78862,608400,14,0,11503,11505,11,2475,21.5755558,24.5,2.924444199,21.84141436,0.840718596,240.255558 +11505,MN,816,42,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,96 5 AVENUE,C6-4M,C6-2M, , , , , , , , ,Y,D6,4,0, ,LILLIAN GOLDMAN FAMIL,15487,180000,20000,160000,5000,5000,10000,0,0,0,2,1,18,223,230,103.25,150,98,150, ,2,N,3,2,3204000,19125900,0,0,1962,1987,0, , ,11.62,10,10,10,1,1008160042,0,54,986013,207661,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,522.9333557,16605.31209,15921900,7,0,11504,11506,72,16200,28.19599915,37.16888809,8.972888947,29.30436352,2.619941104,2109.914173 +11506,MN,193,7507,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,58 WHITE STREET,C6-2A, , , , , , , , , ,N,R1,2,0, , ,2779,9864,0,9864,0,0,0,0,0,0,2,1,5,5,5,0.06,0,0,0, ,0,N,0,5,130793,1242538,0,0,1915,0,0,Tribeca East Historic District, ,3.55,6.02,6,6.5,1,1001937507,1141,33,983253,201056,12a, ,11W 046,10105, ,1001930005,12/20/2000,1, , ,17V1.1,7,277.988767,2937.85706,1111750,14,0,11505,11507,14,3150,13.68111134,13.68111134,0,13.68111134,0,191.5355587 +11507,MN,491,1,102,37,3009,2,3,10013,L008,1,15,6800,1,2,1B,558 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,C7,4,0, ,"558 BROOME STREET, LL",3120,14737,1965,12772,0,1965,0,0,0,0,2,1,6,20,25,48.17,65.25,65,47, ,3,N,3,2,216000,1853100,0,0,1925,0,0, , ,4.72,0,10,10,1,1004910001,0,37,982674,203239,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,232.4544148,3333.57931,1637100,0,0,11506,11508,16,3600,15.15299988,17.61000061,2.457000732,15.58819437,0.8221118,249.4111099 +11508,MN,914,10,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,217 EAST 33 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,DENMARK 33RD,3946,15725,0,15725,0,0,0,0,0,0,2,1,6,24,24,39.67,99.5,40,82, ,3,N,5,2,553500,2195550,0,0,1930,1979,0, , ,3.99,4,0,4,1,1009140010,0,70,990465,210652,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,286.7813107,4137.895456,1642050,10,0,11507,11509,17,3825,17.92555618,17.92555618,0,17.92555618,0,304.7344551 +11509,MN,615,16,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,262 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SPRINGS 3, LLC",1411,3038,0,2278,0,0,0,0,0,0,2,1,3.5,1,1,16.67,82.42,16.67,40, ,3,Y,5,1,31241,174417,0,0,1910,2008,0,Greenwich Village Historic District, ,2.15,2.43,0,4.8,1,1006150016,0,77,983394,207932,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,204.0176463,1437.28153,143176,8,0,11508,11510,7,1575,23.05999947,25.36444473,2.304445267,23.63777733,0.885041975,165.4644413 +11510,MN,491,7501,102,37,3009,2,3,10013,L008,1,15,6800,1,2, ,554 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,R1,2,0, , ,2113,12296,0,12296,0,0,0,0,0,0,2,1,7,6,6,25,84.5,25,74, ,0,N,0,5,51518,1098631,2360,2360,1910,2005,0, , ,5.82,0,10,10,1,1004917501,1174,37,982746,203248,12a, ,11N 067,10206, ,1004910028,2/14/2001,1, , ,17V1.1,7,224.7391971,2223.089764,1047110,0,0,11509,11511,8,1800,15.03499985,15.03499985,0,15.03499985,0,120.2799988 +11511,MN,525,61,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,100 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,D4,3,0, ,ROCINANTE CORP,2490,14034,2339,11695,0,2339,0,0,0,0,2,1,6,6,7,38.08,71.17,38,68, ,3,Y,5,2,163491,963406,42860,42860,1910,1985,2013,South Village Historic District, ,5.64,3.44,0,6.5,1,1005250061,0,65,984193,204282,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,218.9960592,2525.317899,799915,9,0,11510,11512,11,2475,23.62666702,23.62666702,0,23.62666702,0,259.8933373 +11512,MN,550,26,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,10 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,S9,4,0, ,LYNCH FAMILY ASSOCIAT,2300,9000,3600,5400,0,0,0,0,0,3600,2,1,4,3,5,25,92,25,90, ,0,N,5,5,171558,738817,0,0,1910,0,2009,Greenwich Village Historic District, ,3.91,6.02,2,6.5,1,1005500026,0,59,985433,205877,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,236.6393309,2361.013434,567259,8,0,11511,11513,11,2475,26.29888916,26.47822189,0.179332733,26.33070738,0.067521907,289.6377811 +11513,MN,745,7503,104,89,5000,2,3,10011,L012,10,15,5600,1,4, ,225 8 AVENUE,C1-6A, , , , , , , , , ,N,RM,4,0, ,"GALILEO ASSOCIATES, L",11225,76600,9932,66668,9932,0,0,0,0,0,2,1,14,70,71,112.25,100,112.5,100, ,0,N,0,5,1470600,14816250,0,4964130,1998,0,0, , ,6.82,4,2,4,1,1007457503,1044,89,984379,210488,8d, ,103 038,10303, ,1007450035,3/19/1999,1, , ,17V1.1,7,430.0633085,11533.63301,13345700,7,0,11512,11514,52,11700,15.97222233,22.03111076,6.058888435,20.2493884,1.021525241,1052.968197 +11514,MN,447,40,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,337 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,PORYTKO PROPERTIES LL,2425,9688,0,9688,0,0,0,0,0,0,2,2,5,19,19,25,97,25,50, ,3,N,5,5,126900,489600,0,0,1900,1976,0, , ,4,4,0,4,1,1004470040,0,38,987788,203886,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.4002397,2520.921797,362700,1,0,11513,11515,11,2475,27.01499939,29.51222229,2.4972229,28.06749448,1.154784281,308.7424393 +11515,MN,436,12,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,412 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,412 EAST 9TH STREET R,2891,11780,2356,9424,0,2356,0,0,0,0,2,1,5,20,22,37.5,77.83,38,64, ,3,N,5,1,324450,2611800,0,0,1920,0,0, , ,4.07,4,0,4,1,1004360012,0,32,988611,204405,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,238.4097103,3111.351938,2287350,12,0,11514,11516,13,2925,17.84799957,22.44888878,4.600889206,18.77779447,1.548262765,244.1113281 +11516,MN,940,1,106,78,5002,2,2,10016,L007,17,13,5000,1,6,2B,622 2 AVENUE,C1-9, , , , , ,TA, , , ,N,M1,8,0,P,DIOC ARMENIAN CHURCH,26465,44500,44500,0,44500,0,0,0,0,0,2,1,3,0,0,197.5,134,47,62, ,0,Y,3,2,6345000,9162000,6345000,9162000,1966,1983,0, , ,1.68,10,2,10,1,1009400001,0,78,991107,210694,8d, ,104 024,10309, ,0, ,1, , ,17V1.1,0,667.8003112,26768.10218,2817000,10,0,11515,11517,119,26775,15.83199978,25.25,9.418000221,18.11373845,3.551928954,2155.534876 +11517,MN,899,36,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,240 EAST 19 STREET,R7-2, , , , , , , , , ,N,C5,2,0, ,"COYNE, LAUREEN M",1680,3880,0,3880,0,0,0,0,0,0,2,1,4,6,6,20,84,20,52, ,2,N,5,5,85016,400143,0,0,1929,1979,0, , ,2.31,3.44,0,6.5,1,1008990036,0,48,988839,207247,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,210.4838435,1729.328792,315127,5,0,11516,11518,7,1575,20.82333374,22.73666573,1.913331985,21.32158743,0.79299752,149.251112 +11518,MN,195,27,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3A,84 WHITE STREET,C6-2A, , , , , , , , , ,N,D1,3,0, ,84-86 WHITE STREET LL,6073,46900,3600,43300,0,0,3600,0,0,0,2,1,13,33,33,49.83,122.5,49,85, ,3,N,5,2,944100,5821200,0,0,2012,0,0, , ,7.72,6.02,6,6.5,1,1001950027,0,31,983712,200775,12a, ,101N047,10105,R-86,0, ,1, , ,17V1.1,0,347.7275913,6183.358813,4877100,14,0,11517,11519,28,6300,15.13333321,17.17555618,2.042222977,16.83317464,0.489211392,471.3288898 +11519,MN,743,75,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,352 WEST 20 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"WILSON, LYDIA ANDRE",1533,4012,0,4012,0,0,0,0,0,0,2,1,4,2,2,16.67,92,17,59, ,3,N,5,2,21634,196333,0,0,1900,1987,2007,Chelsea Historic District, ,2.62,3,0,3,1,1007430075,0,89,983650,210395,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,222.6734457,1493.478992,174699,7,0,11518,11520,7,1575,15.57888889,17.29777718,1.718888283,15.82444436,0.601485603,110.7711105 +11520,MN,589,48,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,233 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,233 BLEECKER STREET L,2500,5625,2500,3125,0,1875,0,0,0,0,2,1,2,3,6,25,100,25,75, ,0,N,3,5,945000,2259900,0,0,1920,2015,0,Greenwich Village Historic District Exte, ,2.25,3.44,0,6.5,1,1005890048,0,67,983564,205441,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,256.879383,2738.736342,1314900,9,0,11519,11521,12,2700,15.87222195,15.87222195,0,15.87222195,0,190.4666634 +11521,MN,141,24,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,180 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,180 DUANE STREET LLC,3192,13500,3192,10308,0,3192,0,0,0,0,2,1,5,4,5,24.83,127.83,24,120, ,3,Y,5,2,223722,564558,0,0,1915,1987,2005,Tribeca West Historic District, ,4.23,6.02,6,6.5,1,1001410024,0,39,981466,200516,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,309.9876975,3270.785834,340836,14,0,11520,11522,14,3150,16.8029995,16.8029995,0,16.8029995,0,235.241993 +11522,MN,472,10,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,409 BROOME STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,A TRENKMANN EST INC,2925,23240,23240,0,14200,2000,0,7040,0,0,2,1,8,0,12,22.5,119,23,118, ,0,Y,3,5,395100,2431800,0,0,1905,1985,0,SoHo-Cast Iron Historic District Extensi, ,7.95,0,5,6.5,1,1004720010,0,45,984745,201879,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,295.0773353,2992.756217,2036700,0,0,11521,11523,13,2925,28.8239994,33.33889008,4.514890671,29.82271767,1.619407514,387.6953297 +11523,MN,507,30,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,268 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,L8,6,0, ,268 BOWERY REALTY INC,3190,13882,13882,0,2776,2776,0,8330,0,0,2,1,5,4,5,32.83,97.17,32.83,89, ,3,N,5,2,247500,1476000,0,0,1920,0,0, , ,4.35,3.44,6,6.5,1,1005070030,0,43,986128,202877,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,272.6663502,3399.510604,1228500,9,0,11522,11524,15,3375,44.71333313,46.69444275,1.981109619,44.8454071,0.494175563,672.6811066 +11524,MN,527,91,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,27 DOWNING STREET,R6, , , , , , , , , ,N,B1,1,0, ,27 DOWNING LLC,1750,4850,0,4850,0,0,0,0,0,0,2,1,4,2,2,25,70,25,62, ,3,N,5,5,108703,299170,0,0,1899,2013,2013,Greenwich Village Historic District Exte, ,2.77,2.43,0,4.8,1,1005270091,0,67,983312,205086,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,197.6058222,1887.443362,190467,9,0,11523,11525,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +11525,MN,500,7507,102,49,1006,2,1,10012,L020,1,15,6800,1,2, ,89 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,2504,14379,5259,9120,0,2250,0,3009,0,0,2,1,5,4,5,25.08,99.83,25,99, ,0,N,3,5,321827,1824253,0,0,1886,2005,0,SoHo-Cast Iron Historic District, ,5.74,0,5,6.5,1,1005007507,1620,49,984156,203054,12c, ,11N 072,10206, ,1005000034,12/20/2006,1, , ,17V1.1,7,255.9227944,2760.557256,1502430,0,0,11524,11526,13,2925,17.84111023,19.34955597,1.50844574,17.95714452,0.401954563,233.4428787 +11526,MN,509,34,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,277 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C0,2,0,P,277 MOTT STREET LLC,1828,9960,0,9960,0,0,0,0,0,0,2,1,7,3,3,20,91.42,0,0, ,1,N,5,5,30780,46800,0,0,2007,0,0, , ,5.45,6.02,6,6.5,1,1005090034,0,43,985706,203051,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,229.7449728,1820.746865,16020,9,0,11525,11527,8,1800,42.24222183,47.31999969,5.077777863,45.4827075,1.346872254,363.86166 +11527,MN,613,30,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,21 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,"GINSBURG, ADAM",1227,3274,0,2533,0,0,0,0,0,0,2,1,2,3,3,19,64.58,19,42,E,3,N,5,1,73211,225123,0,0,1899,2010,0,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1006130030,0,73,983678,207377,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,173.7180841,1272.615386,151912,8,0,11526,11528,5,1125,25.34199905,25.34199905,0,25.34199905,0,126.7099953 +11528,MN,348,18,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,157 RIVINGTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,157 RIVINGTON CORP.,2800,8240,1100,7140,0,1100,0,0,0,0,2,1,5,18,20,28,100,25,51,E,3,N,5,2,98100,935550,0,0,1920,1988,2012, , ,2.94,4,0,4,1,1003480018,0,1402,988254,201232,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,264.6467498,3017.807926,837450,13,0,11527,11529,14,3150,24.76333427,26.23333359,1.469999313,24.86833423,0.378582707,348.1566792 +11529,MN,611,31,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2B,161 WEST 10 STREET,C2-6, , , , , , , , , ,N,C5,2,0, ,ROOSTERBROOK ASSOCAIT,2660,11480,0,11480,0,0,0,0,0,0,2,1,5,20,20,28,95,28,84, ,3,N,5,2,128700,1444500,0,0,1910,1980,0,Greenwich Village Historic District, ,4.32,3.44,2,6.5,1,1006110031,0,73,983739,206918,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,250.1183295,2778.661132,1315800,8,0,11528,11530,12,2700,21.29555511,23.58444405,2.288888931,21.66148106,0.819121997,259.9377728 +11530,MN,482,7501,102,45,1006,2,1,10013,E055,5,15,6800,1,2, ,406 BROOME STREET,C6-2, , , , , , , , , ,N,RB,5,0,P,LAFAYETTE COMMERCL CO,11750,74349,74349,0,9849,64500,0,0,0,0,2,1,7,0,25,149.5,100.42,0,0, ,0,Y,5,5,1143006,7248602,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,6.33,6.02,6,6.5,1,1004827501,463,45,984876,202030,12c, ,101N073,10206,E-130,1004820070,12/16/1987,1, , ,17V1.1,7,488.4911051,13197.71126,6105600,0,0,11529,11531,59,13275,33.08000183,35.56222153,2.482219696,33.38600909,0.706104319,1969.774536 +11531,MN,889,32,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,159 EAST 33 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,HILLTOP GREEN VILLAGE,1975,3520,850,2670,0,850,0,0,0,0,2,2,4,7,8,60,98.75,20,86, ,3,N,5,2,123767,462688,0,0,1910,0,0, , ,1.78,4,0,4,1,1008890032,0,72,990009,210904,8d, ,104 020,10307, ,1008890032,9/25/1991,1, , ,17V1.1,0,241.9592621,2049.140765,338921,10,0,11530,11532,9,2025,24.63888931,24.63888931,0,24.63888931,0,221.7500038 +11532,MN,604,30,102,69,1002,2,3,10014,E024,6,15,6400,1,2,2B,144 BARROW STREET,C1-6A, , , , , , , , , ,N,G1,10,0, ,WILLIAM GOTTLIEB,3965,3638,3638,0,0,0,3638,0,0,0,2,1,1,0,1,74.17,59.25,74.16,59.33, ,3,Y,5,0,196200,336150,0,0,1930,0,0, , ,0.92,4,2,4,1,1006040030,0,69,981558,206007,12a, ,103 002,10208, ,0, ,1,1,1,17V1.1,0,250.0218811,3852.098718,139950,9,1,11531,11533,17,3825,8.725000381,8.725000381,0,8.725000381,0,148.3250065 +11533,MN,873,32,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,143 EAST 17 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,HELLENIC EASTN ORTH C,2300,2225,2225,0,0,0,0,0,0,2225,2,1,1,0,0,25,92,25,89, ,0,N,5,2,281250,441900,281250,441900,1910,0,0, , ,0.97,4,0,4,1,1008730032,0,50,988082,207275,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,237.4066825,2342.504556,160650,5,0,11532,11534,10,2250,30.96199989,32.83288956,1.870889664,31.33046684,0.710565103,313.3046684 +11534,MN,438,7501,103,34,3001,1,2,10009,L011,9,14,6200,4,3, ,436 EAST 11 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,RM,4,0, , ,2085,8323,1665,6658,0,0,0,0,0,1665,2,1,5,4,5,22,94.79,22,94.79, ,0,N,0,5,120845,1284585,0,0,1900,0,0, , ,3.99,4,0,4,1,1004387501,1119,34,989133,204673,12c, ,102 028,10205, ,1004380026,4/11/2000,1, , ,17V1.1,7,240.2162752,2129.942847,1163740,12,0,11533,11535,10,2250,17.63888931,18.78444481,1.145555496,17.75344486,0.343666649,177.5344486 +11535,MN,471,52,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,200 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,"151 MOTT STREET ,",4747,22248,3708,18540,0,3708,0,0,0,0,2,1,6,35,38,51.5,100,52,100, ,2,Y,3,2,342000,2454750,0,0,1910,1987,2004, , ,4.69,6.02,6,6.5,1,1004710052,0,41,985206,201343,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,322.7167316,5407.443569,2112750,0,0,11534,11536,23,5175,27.46699905,31.66300011,4.196001053,27.64943388,0.855695194,635.9369793 +11536,MN,448,39,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,333 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"DKEGG HOLDINGS, LLC",2271,9810,0,9810,0,0,0,0,0,0,2,1,5,15,15,25,90.83,25,80,E,3,N,5,2,206100,648000,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.32,4,0,4,1,1004480039,0,38,987887,204118,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,238.3310641,2374.397933,441900,1,0,11535,11537,11,2475,27.1590004,27.65299988,0.493999481,27.20390944,0.142014866,299.2430038 +11537,MN,743,1,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,148 9 AVENUE,C2-6A, , , , , , , , , ,N,S0,4,0, ,ROUNDSTONE PROPERTIES,1500,3100,1550,1550,0,1550,0,0,0,0,2,1,2,1,3,25,62,25,62, ,2,N,3,2,48496,105503,0,0,1910,0,0, , ,2.07,4,2,4,1,1007430001,0,89,983476,210345,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,180.3482151,1705.696555,57007,7,0,11536,11538,8,1800,15.57888889,15.57888889,0,15.57888889,0,124.6311111 +11538,MN,447,51,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,313 EAST 5 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,TRES RELATY LLC,4850,20600,0,20600,0,0,0,0,0,0,2,1,6,47,47,50,97,50,34, ,3,N,5,2,787500,2699100,0,0,1940,0,0, , ,4.25,4,0,4,1,1004470051,0,38,987536,204025,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,302.096137,5072.2074,1911600,1,0,11537,11539,21,4725,27.01499939,33.42777634,6.412776947,28.02370317,2.169341581,588.4977665 +11539,MN,422,46,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,212 FORSYTH STREET,C6-2A, , , , , , , , , ,N,C6,2,0,P,FORSYTH ST TENANTS ET,1716,6760,1352,5408,0,1352,0,0,0,0,2,1,5,6,8,26,66,25,52, ,2,N,5,2,98701,298175,98701,161388,1900,0,0, , ,3.94,6.02,6,6.5,1,1004220046,0,3601,986955,202675,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,197.4676451,1926.882485,199474,1,0,11538,11540,8,1800,38.41600037,38.41600037,0,38.41600037,0,307.3280029 +11540,MN,836,1,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,1302 BROADWAY,C5-3,C6-6, , , , ,MID, , , ,Y,O6,5,0, ,T-C 2 HERALD SQUARE O,28710,362191,362191,0,227780,91900,28467,14044,0,0,2,1,11,0,14,178.67,150,179,194, ,2,Y,3,2,34110000,127608300,0,0,1909,2013,0, , ,12.62,10,15,15,1,1008360001,0,76,987813,212510,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,743.7343799,32212.98623,93498304,10,0,11539,11541,141,31725,46.94555664,51.35888672,4.413330078,49.6116178,0.366008124,6995.23811 +11541,MN,717,2,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,148 10 AVENUE,R8A, , , ,C2-5, , , , , ,N,C7,4,0, ,146-150 TENTH ASSOCIA,2001,8625,2200,6425,0,2200,0,0,0,0,2,1,5,15,16,25,80,25,66, ,3,N,5,2,90450,1182150,0,0,1900,1981,0, , ,4.31,6,0,6,1,1007170002,0,89,982708,210800,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,217.077907,2182.370802,1091700,7,1,11540,11542,10,2250,9.621110916,10.12333298,0.502222061,9.671333122,0.150666618,96.71333122 +11542,MN,749,24,104,93,1000,2,3,10001,L024,10,15,5200,1,4,2A,313 8 AVENUE,R8, , , , , , , , , ,N,D4,3,0,P,MUTUAL REDEVELOPMENT,59250,232793,31424,201369,714,0,0,4060,0,26650,2,2,22,186,189,197.5,300,125,129, ,1,N,3,0,2502000,15880050,2502000,15880050,1963,0,0, , ,3.93,6.02,0,6.5,1,1007490024,0,93,984813,211483,8d, ,105S008,10303, ,1007490024,2/9/1996,1, , ,17V1.1,0,1032.005929,64163.77475,13378100,2,0,11541,11543,285,64125,22.62999916,27.11222076,4.482221603,24.75617021,0.994628843,7055.508511 +11543,MN,399,40,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,195 EAST 3 STREET,R8B, , , , , , , , , ,N,J7,5,0, ,"500 GWC, L.L.C.",2308,4224,4224,0,0,0,0,0,0,4224,2,1,2,0,1,24,96.17,24,96, ,3,N,5,0,121500,278100,0,0,1951,2004,2007, , ,1.83,4,0,4,1,1003990040,0,32,988883,202702,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,245.5925898,2353.271247,156600,1,0,11542,11544,10,2250,18.04222298,18.04222298,0,18.04222298,0,180.4222298 +11544,MN,546,30,102,59,3004,2,1,10003,L009,6,15,5700,1,2,2A,31 WEST 4 STREET,R7-2, , , , , , , , , ,N,W6,8,0, ,NEW YORK UNIVERSITY,2497,9980,9980,0,7480,2500,0,0,0,0,2,1,4,0,3,25.92,96.25,25.92,96, ,3,N,3,0,297900,1493550,238320,1194840,1900,1999,0, , ,4,3.44,0,6.5,1,1005460030,0,59,985484,204981,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,256.8715751,2775.726825,1195650,9,0,11543,11545,12,2700,35.5,35.5,0,35.5,0,426 +11545,MN,194,12,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,40 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,"40 WALKER STREET, LLC",2500,11200,4480,6720,0,2000,0,2480,0,0,2,1,5,4,5,25.08,100.5,25,93,E,3,Y,5,5,48983,513979,0,0,1910,2008,0,Tribeca East Historic District, ,4.48,6.02,6,6.5,1,1001940012,0,33,983211,201380,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,255.873083,2567.094476,464996,14,0,11544,11546,11,2475,12.8255558,12.8255558,0,12.8255558,0,141.0811138 +11546,MN,873,27,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,133 EAST 17 STREET,R8B, , , , , , , , , ,N,D8,3,0, ,133 E 17 ST CORP,2300,9015,0,9015,0,0,0,0,0,0,2,1,5,21,21,25,92,25,80, ,3,N,5,1,394200,1494450,0,0,1925,1989,0, , ,3.92,4,0,4,1,1008730027,0,50,987983,207330,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,237.8901873,2360.895415,1100250,5,0,11545,11547,11,2475,30.77444458,30.96199989,0.187555313,30.92789893,0.072339073,340.2068882 +11547,MN,591,19,102,73,4005,2,3,10014,E024,6,15,6400,1,2,2B,101 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,C7,4,0, ,70 GROVE STREET LLC,2000,7250,800,6450,0,800,0,0,0,0,2,1,5,7,8,26,94,22,92,E,3,Y,5,2,311898,809383,0,0,1920,2011,2005,Greenwich Village Historic District, ,3.63,3.44,3.4,6.5,1,1005910019,0,73,983481,206359,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,227.5186388,2041.280114,497485,9,0,11546,11548,10,2250,22.84600067,22.84600067,0,22.84600067,0,228.4600067 +11548,MN,561,45,102,59,5000,2,2,10003,E033,6,15,5700,1,2,3A,35 EAST 9 STREET,R7-2, , , , , , , , , ,N,D4,3,0, ,29-45 TENANTS CORP,17850,98609,0,98609,0,0,0,0,0,0,2,1,10,68,68,193,92.25,174,78, ,1,Y,5,2,1345500,9644400,99168,99168,1925,1989,0, , ,5.52,3.44,0,6.5,1,1005610045,0,59,986077,205974,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,567.8854595,17813.91995,8298900,8,0,11547,11549,78,17550,32.25444412,35.26889038,3.014446259,32.44666633,0.679597878,2530.839973 +11549,MN,400,50,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,213 EAST 4 STREET,R7B, , , , , , , , , ,N,C7,4,0, ,CACTUS 4 LLC,4592,18781,732,18049,0,732,0,0,0,0,2,1,6,28,29,47.75,96.17,48,83, ,3,N,5,2,450000,3086550,0,0,1900,2012,2009, , ,4.09,3,0,3,1,1004000050,0,32,988846,203013,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,303.7865391,4992.555429,2636550,1,0,11548,11550,23,5175,15.8922224,18.86777687,2.975554466,16.17628031,0.775792589,372.0544472 +11550,MN,719,57,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,414 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,PARKDALE REALTY CO,12215,24415,0,24415,0,0,0,0,0,0,2,4,4,40,40,119.5,107.5,44,58, ,0,Y,5,5,450000,2852100,0,0,1960,0,0,Chelsea Historic District, ,2,3,0,3,1,1007190057,0,89,983526,211032,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,455.2428351,12277.10461,2402100,7,1,11549,11551,53,11925,9.307999611,16.45111084,7.143111229,12.95607961,2.839625874,686.6722193 +11551,MN,774,74,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,264 WEST 25 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,264-266 W 25 STREET L,3019,11660,0,11660,0,0,0,0,0,0,2,1,5,17,17,27.5,109.5,27.5,98.75, ,3,N,5,2,155250,1307250,0,0,1925,0,0, , ,3.86,6,0,6,1,1007740074,0,91,985116,211077,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,282.2247424,3233.44646,1152000,2,0,11550,11552,15,3375,24.85199928,28.54000092,3.688001633,25.29355507,1.100797976,379.403326 +11552,MN,800,22,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,131 WEST 24 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,BRICK FARMS ETC,2904,17840,1750,16090,0,1750,0,0,0,0,2,2,7,6,7,25,116.17,25,108, ,3,Y,5,2,87814,627484,55080,55080,1901,1985,0, , ,6.14,0,10,10,1,1008000022,0,91,986037,210466,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,288.7824683,2913.616478,539670,2,0,11551,11553,13,2925,33.84199905,33.84199905,0,33.84199905,0,439.9459877 +11553,MN,162,24,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,21 PELL STREET,C6-1, , , , , , , , , ,N,M1,8,0,X,LEE LOWE MEN ASSN INC,1218,3800,3800,0,0,0,0,0,0,3800,2,1,5,0,1,21.25,58.83,21.25,43, ,0,Y,5,5,141300,503100,141300,503100,1920,0,0, , ,3.12,3.44,6,6.5,1,1001620024,0,29,984740,199674,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,166.20325,1367.270561,361800,14,0,11552,11554,6,1350,30.90500069,30.90500069,0,30.90500069,0,185.4300041 +11554,MN,519,19,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,40 KING STREET,R6, , , , , , , , , ,N,C3,2,0, ,40 KING STREET LLC,2008,3200,0,3200,0,0,0,0,0,0,2,1,3,4,4,20,100.42,20,40, ,3,N,5,5,172430,260646,0,0,1900,1989,0,Charlton-King-Vandam Historic District, ,1.59,2.43,0,4.8,1,1005190019,0,37,983048,204342,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,245.5077733,2037.652061,88216,9,0,11553,11555,10,2250,16.83888817,20.65333366,3.814445496,17.48544388,1.242913021,174.8544388 +11555,MN,455,37,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,229 1 AVENUE,C1-7A, , , , , , , , , ,N,C7,4,0,P,229 FIRST AVE LLC,1200,3740,935,2805,0,935,0,0,0,0,2,1,4,7,9,20,60,20,56,E,3,N,5,2,81861,271070,0,0,1900,1960,0, , ,3.12,6.02,2,6.5,1,1004550037,0,40,988941,205639,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,166.4318976,1297.608284,189209,12,0,11554,11556,6,1350,22.17099953,22.17099953,0,22.17099953,0,133.0259972 +11556,MN,480,33,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,185 MOTT STREET,C6-1, , , , , ,LI, , , ,N,C7,4,0, ,58 KENMARE ASSOCIATES,2335,12871,1545,11326,0,1545,0,0,0,0,2,1,5,20,24,21.42,100.83,21,101,E,3,Y,3,2,190800,1579050,0,0,1900,2016,2015, , ,5.51,3.44,6,6.5,1,1004800033,0,41,985341,201899,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,270.0251321,3120.238143,1388250,0,0,11555,11557,13,2925,33.11000061,38.65222168,5.542221069,34.43485495,2.046996407,447.6531143 +11557,MN,608,7502,102,71,2000,2,3,10011,Q018,6,15,6100,3,2, ,132 WEST 13 STREET,R6, , , , , , , , , ,N,R1,2,0, , ,2266,6094,0,6094,0,0,0,0,0,0,2,1,3,2,2,22,103,0,0, ,0,N,0,5,40204,415313,0,0,1910,0,0,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1006087502,1017,71,984552,207814,12c, ,103 027,10209, ,1006080023,9/15/1998,1, , ,17V1.1,7,259.6618311,2431.297784,375109,8,0,11556,11558,11,2475,24.04400063,28.22333336,4.179332733,24.6929701,1.401028515,271.6226711 +11558,MN,124,21,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,6 MURRAY STREET,C6-4, , , , , ,LM, , , ,N,D7,4,0, ,6 MURRAY LLC,1893,12909,1893,11016,0,1893,0,0,0,0,2,1,8,8,9,25.08,75.5,25,77, ,3,Y,5,2,746311,1364337,0,0,1920,1996,0, , ,6.82,10,10,10,1,1001240021,0,21,982031,199113,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,215.4167983,2085.317048,618026,3,0,11557,11559,10,2250,33.17499924,34.90777588,1.732776642,33.3482769,0.519832993,333.482769 +11559,MN,137,1,101,21,2001,2,1,10007,L010,1,15,7700,1,1,1A,68 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,L8,6,0, ,B. JAFFE REAL ESTATEC,12008,55225,21395,33830,4550,14995,1850,0,0,0,2,4,5,17,25,100.58,126.08,101,126, ,2,Y,3,2,394650,6772050,0,0,1935,1986,2006, , ,4.6,7.52,6,7.5,1,1001370001,0,21,981535,199877,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,466.369728,12701.98994,6377400,3,0,11558,11560,55,12375,19.68199921,23.88888931,4.206890106,20.12043974,1.074174717,1106.624186 +11560,MN,482,10,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,59 CROSBY STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,L AND B 59 REALTY CO.,2508,11795,4000,7795,0,0,0,4000,0,0,2,1,5,3,5,25.08,100,25,94, ,2,N,5,5,293505,527280,0,0,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,4.7,0,5,6.5,1,1004820010,0,45,984775,202374,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,256.9650305,2626.058889,233775,0,0,11559,11561,12,2700,30.94300079,31.14111137,0.19811058,30.95951001,0.054754872,371.5141201 +11561,MN,619,64,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,196 WEST 10 STREET,R6, , , , , , , , , ,N,C1,2,0, ,PDS PROPERTIES LLC,2375,9365,0,9365,0,0,0,0,0,0,2,1,5,20,20,25,95,25,82, ,2,N,5,1,315000,1287450,0,0,1901,1986,0,Greenwich Village Historic District, ,3.94,2.43,0,4.8,1,1006190064,0,73,983233,206673,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,244.3169355,2428.891178,972450,9,0,11560,11562,10,2250,23.46111107,24.64777756,1.186666489,23.57977772,0.355999947,235.7977772 +11562,MN,448,36,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,339 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEAS REALTY,2271,9438,0,9438,0,0,0,0,0,0,2,1,5,20,20,25,90.83,25,74, ,3,N,5,2,282600,1323450,0,0,1900,1980,0,East Village/Lower East Side Historic Di, ,4.16,4,0,4,1,1004480036,0,38,987952,204082,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,239.1887201,2420.581075,1040850,1,0,11561,11563,11,2475,27.1590004,29.18777847,2.028778076,27.66805094,0.838436409,304.3485603 +11563,MN,304,19,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,245 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,TONG FAT REALTY CORP,3168,10176,6012,4163,3006,3006,0,0,0,0,2,1,5,3,5,25.42,125.33,25,114,E,2,Y,5,1,180000,1473300,0,0,1910,2005,0, , ,3.21,3.44,6,6.5,1,1003040019,0,16,985801,200877,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,305.2041766,3132.82165,1293300,0,0,11562,11564,13,2925,34.17111206,34.66888809,0.497776031,34.20940252,0.132642058,444.7222328 +11564,MN,425,26,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,17 RIVINGTON STREET,C6-3A, , , , , , , , , ,N,C7,4,0, ,"ASIA BANK, N.A.",2487,13635,2272,11363,0,2272,0,0,0,0,2,1,6,20,21,100,25,24,92, ,2,N,3,2,180000,1311750,0,0,1900,1989,0, , ,5.48,7.52,6,7.5,1,1004250026,0,18,986321,201998,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,255.993595,2726.93243,1131750,13,0,11563,11565,13,2925,38.80888748,42.80099869,3.992111206,39.48172555,1.421834221,513.2624321 +11565,MN,97,31,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1, ,40 PECK SLIP,C6-2A, , , , , ,LM, , , ,N,O2,5,0,P,SOC 40 PECK SLIP REAL,988,4883,4883,0,4883,0,0,0,0,0,2,1,5,0,1,19.17,52.08,18,52, ,3,Y,5,0,359100,559350,0,0,1900,2015,2015,South Street Seaport Historic District, ,4.94,6.02,6,6.5,1,1000970031,0,1501,983790,197003,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,145.7387627,1015.039979,200250,4,1,11564,11566,4,900,5.993332863,5.993332863,0,5.993332863,0,23.97333145 +11566,MN,825,71,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1B,36 WEST 24 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,40 W 24 ST CORP,7406,69823,14115,55708,0,14115,0,0,0,0,2,1,10,24,26,75,98.75,75,99, ,3,N,5,2,1062000,8806950,21240,21240,1905,1989,0,Ladies' Mile Historic District, ,9.43,0,10,10,1,1008250071,0,58,986579,209979,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,361.5326917,7980.349757,7744950,2,0,11565,11567,35,7875,35.24777603,35.97100067,0.72322464,35.93993073,0.133301556,1257.897575 +11567,MN,283,53,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,124 EAST BROADWAY,C6-2, , , , , , , , , ,N,L8,6,0,P,GREAT WORLD ENTERP IN,1400,7000,7000,0,0,1380,0,5620,0,0,2,1,6,0,6,22.08,63.42,22,63, ,3,N,5,2,108900,740250,0,0,1940,0,0, , ,5,6.02,6,6.5,1,1002830053,0,6,986433,199436,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,175.3014982,1412.552175,631350,16,0,11566,11568,6,1350,35.5909996,35.5909996,0,35.5909996,0,213.5459976 +11568,MN,797,6,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,165 WEST 21 STREET,C6-3A, , , , , , , , , ,N,C0,2,0, ,RED MOUNTAIN RLTY COR,1975,4655,0,3920,0,0,0,0,0,0,2,1,4,3,3,20,98.75,20,49, ,3,N,5,1,88396,139791,0,0,1910,1989,0, , ,2.36,7.52,6,7.5,1,1007970006,0,87,985374,209895,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,245.0448632,1922.476967,51395,7,0,11567,11569,8,1800,28.16444397,28.16444397,0,28.16444397,0,225.3155518 +11569,MN,612,53,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,8 PERRY STREET,C2-6, , , , , , , , , ,N,C0,2,0, ,ADOLFO SUAYA CONSTRU,2097,3800,0,2800,0,0,0,0,0,0,2,1,3,3,3,22,95.33,22,42, ,3,N,5,1,47600,165888,0,0,1899,2011,0,Greenwich Village Historic District, ,1.81,3.44,2,6.5,1,1006120053,0,71,983917,207295,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,235.6802776,2179.586854,118288,8,0,11568,11570,10,2250,21.78555489,23.95888901,2.173334122,22.54842186,0.713247229,225.4842186 +11570,MN,418,52,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,284 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,ROMAN GRAND LLC,1461,2788,2788,0,0,2788,0,0,0,0,2,1,2.5,0,2,16.67,87.67,17,82,E,3,N,5,2,157500,496800,0,0,1900,2014,0, , ,1.91,4,4,4,1,1004180052,0,18,986364,200839,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,210.1050166,1431.507063,339300,13,0,11569,11571,7,1575,37.89666748,37.89666748,0,37.89666748,0,265.2766724 +11571,MN,423,30,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,242 GRAND STREET,C6-1G, , , , , , , , , ,N,S1,4,0, ,WAI KUEN WONG REVOCAB,2032,4185,1381,2804,0,1381,0,0,0,0,2,1,3,1,2,27,75,27,50,E,0,Y,5,5,27488,68710,1550,1550,1920,2005,0, , ,2.06,3.44,6,6.5,1,1004230030,0,18,985836,201039,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,207.2030319,1805.7068,41222,0,0,11570,11572,8,1800,34.16999817,34.16999817,0,34.16999817,0,273.3599854 +11572,MN,164,26,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,47 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,LIN SING ASSOCIATIONI,4812,25480,7280,18200,3640,3640,0,0,0,0,2,1,6,21,26,50,97,50,86, ,3,Y,5,2,324000,1494900,0,0,1915,1981,2005, , ,5.3,3.44,6,6.5,1,1001640026,0,29,984552,199915,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,298.0251824,4944.852221,1170900,14,0,11571,11573,22,4950,24.29500008,28.02555656,3.730556488,24.87469699,1.135813967,547.2433338 +11573,MN,571,7504,102,61,1000,2,2,10003,L003,6,15,5700,3,2, ,126 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,RM,4,0, , ,2711,14631,4140,10491,0,4140,0,0,0,0,2,1,7,5,6,25.83,105.67,0,0, ,0,Y,0,5,117712,1564335,0,0,1950,0,0, , ,5.4,6.02,2,6.5,1,1005717504,1419,61,986382,207033,12c, ,103 022,10207, ,1005710022,5/12/2005,1, , ,17V1.1,7,271.7688849,2779.153291,1446620,8,0,11572,11574,11,2475,36.25,36.25,0,36.25,0,398.75 +11574,MN,719,48,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,408 WEST 22 STREET,R7B, , , ,C2-5, , , , , ,N,S5,4,0, ,KATIE D WONG,1026,3990,360,3630,360,0,0,0,0,0,2,1,4.5,6,7,14.25,72,14,52, ,3,N,5,1,62300,387244,5130,5130,1900,1986,0,Chelsea Historic District, ,3.89,3,0,3,1,1007190048,0,89,983617,211000,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,175.6174653,1066.023438,324944,7,1,11573,11575,5,1125,9.307999611,14.96999931,5.661999702,10.44039955,2.264799881,52.20199776 +11575,MN,886,14,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,119 EAST 30 STREET,C4-5A, , , , , , , , , ,N,C6,2,0, ,119 EAST 30TH STREET,1821,5535,0,5535,0,0,0,0,0,0,2,1,4,9,9,18.42,98.75,18,59, ,3,N,5,1,122051,472706,0,0,1920,2006,0, , ,3.04,4,4,4,1,1008860014,0,72,989180,210479,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,245.1022821,1858.316664,350655,10,0,11574,11576,8,1800,33.23199844,34.65999985,1.428001404,33.56308222,0.494074118,268.5046577 +11576,MN,137,7501,101,21,2001,2,1,10007,L010,1,15,7700, ,1, ,150 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0,P,THE CHAMBERS,3750,17839,6303,11536,0,6303,0,0,0,0,2,1,5,8,10,50,76,0,0, ,0,N,5,5,125532,745338,2360,2360,1915,0,0, , ,4.76,7.52,6,7.5,1,1001377501,658,21,981468,200011,12a,Y,101S015,10104, ,1001370030,11/29/1989,1, , ,17V1.1,7,257.0199014,3911.205106,619806,14,0,11575,11577,19,4275,19.04800034,19.68199921,0.633998871,19.63343791,0.152259596,373.0353203 +11577,MN,646,38,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,402 WEST 14 STREET,M1-5, , , , , , , , , ,N,O5,5,0, ,404 WEST LLC,10325,37400,37400,0,27400,10000,0,0,0,0,2,1,4,0,11,100,103.25,100,103,E,3,N,5,2,2241000,9603450,0,0,1920,2003,2003,Gansevoort Market Historic District, ,3.62,0,5,6.5,1,1006460038,0,79,982583,209208,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,411.986872,10606.01802,7362450,8,1,11576,11578,47,10575,12.05555534,15.51888847,3.46333313,12.32635677,0.89499644,579.338768 +11578,MN,570,39,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,13 EAST 12 STREET,C6-1, , , , , , , , , ,N,S2,4,0,P,ANGELA 13 EAST 12TH S,3167,6485,3169,3316,0,3169,0,0,0,0,2,1,3,2,3,25,126.75,25,126, ,3,N,5,2,78592,179158,0,0,1900,1982,0, , ,2.05,3.44,6,6.5,1,1005700039,0,61,986088,206854,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,312.042839,3275.661344,100566,8,0,11577,11579,15,3375,33.2820015,34.11355591,0.831554413,33.33743846,0.207426114,500.0615768 +11579,MN,793,7508,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,127 7 AVENUE,C6-3A, , , , , , , , , ,N,RM,4,0, , ,6075,56136,5836,50300,0,5836,0,0,0,0,2,1,14,38,40,81,75,81,75, ,0,N,0,5,3014993,13771352,0,4826676,2008,0,0, , ,9.24,7.52,6,7.5,1,1007937508,1921,81,984885,209160,8d, ,103 029,10305, ,1007930076,11/12/2008,1, , ,17V1.1,7,324.8603875,6582.153101,10756400,7,0,11578,11580,29,6525,27.66555595,28.63777733,0.972221375,27.71229922,0.188349977,803.6566772 +11580,MN,619,63,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,198 WEST 10 STREET,R6, , , , , , , , , ,N,C4,2,0, ,REBUS REALTY LLC,1812,3450,0,3450,0,0,0,0,0,0,2,1,4,8,8,19.08,95,19,80, ,3,N,5,0,75234,357558,0,0,1901,1985,2008,Greenwich Village Historic District, ,1.9,2.43,0,4.8,1,1006190063,0,73,983212,206669,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,232.5076456,1855.593116,282324,9,0,11579,11581,9,2025,23.46111107,26.93000031,3.468889236,24.21098773,1.395287997,217.8988895 +11581,MN,475,7511,102,47,2010,2,1,10013,E055,1,15,6800,1,2, ,53 GREENE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,3392,18205,3611,14594,0,3611,0,0,0,0,2,1,6,5,6,0.07,0,33.92,95, ,0,N,0,5,157234,2162844,0,0,1900,0,0, , ,5.37,0,5,6.5,1,1004757511,2469,47,983736,202470,12a, ,101 000,10206, ,1004750048,4/17/2014,1, ,1,17V1.1,7,274.365209,3466.546975,2005610,0,1,11580,11582,15,3375,9.686666489,9.686666489,0,9.686666489,0,145.2999973 +11582,MN,623,20,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,411 BLEECKER STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,411 13 BLEECKER ST RL,1025,3494,920,2574,0,920,0,0,0,0,2,1,4,3,4,20.5,50,21,50,E,3,N,5,5,110573,253864,0,0,1910,1987,0,Greenwich Village Historic District, ,3.41,3.44,2,6.5,1,1006230020,0,77,982851,207536,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,142.7005613,1052.428584,143291,8,0,11581,11583,4,900,22.60333252,22.60333252,0,22.60333252,0,90.41333008 +11583,MN,509,23,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,51 EAST HOUSTON STREET,C6-3, , , , , ,LI, , , ,N,C7,4,0, ,TDJ HOLDINGS LLC,2016,8845,705,8140,0,705,0,0,0,0,2,1,5,8,10,24.58,82,25,71, ,3,N,5,2,75507,250993,0,0,1900,0,0, , ,4.39,7.52,6,10,1,1005090023,0,43,985737,203246,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,220.8649776,2188.075595,175486,9,0,11582,11584,10,2250,42.24222183,45.36333466,3.121112823,42.88736649,1.058566813,428.8736649 +11584,MN,819,14,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,45 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,42 WEST 18TH REALTY C,4600,27600,25300,2300,10350,4600,0,10350,0,0,2,1,6,1,12,25,184,25,184, ,2,N,4,2,765000,2012400,0,0,1920,0,0,Ladies' Mile Historic District, ,6,10,10,10,1,1008190014,0,54,985852,208564,8d, ,102 041,10306,R-17,0, ,1, , ,17V1.1,0,444.8240495,5014.50348,1247400,7,0,11583,11585,22,4950,32.36888886,35.04999924,2.681110382,32.49075751,0.558472331,714.7966652 +11585,MN,567,25,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,19 EAST 9 STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,"ELLMAN, DARI",2307,7160,860,6300,0,860,0,0,0,0,2,1,5,6,7,25,92.25,25,82, ,3,N,5,2,145274,562996,0,0,1938,0,0,Greenwich Village Historic District, ,3.1,3.44,0,6.5,1,1005670025,0,59,985734,206162,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,237.0695441,2394.518778,417722,8,0,11584,11586,10,2250,27.86444473,31.64333344,3.778888702,28.93322239,1.63793433,289.3322239 +11586,MN,622,38,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,278 WEST 11 STREET,R6, , , , , , , , , ,N,A4,1,0, ,WEST 11TH STREET LLC,2391,4890,0,3622,0,0,0,0,0,0,2,1,3,1,1,25.17,95,25,48, ,3,Y,5,1,89784,186924,0,0,1905,2012,0,Greenwich Village Historic District, ,2.05,2.43,0,4.8,1,1006220038,0,73,982982,207359,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,245.6239343,2475.340596,97140,8,0,11585,11587,12,2700,24.5988884,26.40333366,1.804445267,24.85333316,0.521439543,298.2399979 +11587,MN,25,10,101,9,1000,2,1,10004,L015,1,15,7700,1,1, ,41 BROAD STREET,C5-5, , , , , ,LM, , , ,N,W8,8,0, ,WALWILHAL ASSOCIATES,11110,91553,91553,0,0,0,0,0,0,91553,2,1,9,0,1,106.67,128.08,106.67,128.08, ,0,Y,5,2,2949750,12739050,0,0,1929,2004,0, , ,8.24,10,15,15,1,1000250010,0,9,981176,196401,12b, ,101S005,10101, ,0, ,1, ,1,17V1.1,0,450.5266472,11967.95858,9789300,17,1,11586,11588,51,11475,11.6077776,12.36900043,0.761222839,12.3472662,0.109892152,629.7105761 +11588,MN,544,45,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,34 COOPER SQUARE,M1-5B, , , , , , , , , ,N,O9,5,0, , ,6625,50294,41103,9191,32825,5123,0,3155,0,0,2,1,7,3,11,46.11,125.46,46,139, ,0,N,0,2,670950,3538800,0,0,1930,0,0, , ,7.59,0,5,6.5,1,1005440045,0,57,986580,204630,12c, ,103 024,10207, ,1005440038,7/31/2013,1, , ,17V1.1,0,372.8659423,6901.557406,2867850,9,0,11587,11589,30,6750,40.7820015,40.7820015,0,40.7820015,0,1223.460045 +11589,MN,501,12,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,140 PRINCE STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,PRINCE LWR FIFTH REAL,7575,40000,5005,34995,0,5005,0,0,0,0,2,1,6,9,13,75,101,75,101, ,2,N,3,2,936000,8460450,0,0,1910,0,0,SoHo-Cast Iron Historic District, ,5.28,0,5,6.5,1,1005010012,0,49,984023,203592,12c, ,101N071,10206, ,1005010012,4/6/2010,1, , ,17V1.1,0,360.5123615,7969.5297,7524450,0,0,11588,11590,35,7875,15.00755596,21.30555534,6.297999382,15.94386379,2.02314745,558.0352325 +11590,MN,471,40,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1A,377 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,377 BROOME ST CORP,2920,9635,965,8670,0,965,0,0,0,0,2,1,5,17,19,25.33,120.08,25,83, ,3,N,5,2,99000,1345950,0,0,1900,1974,0, , ,3.3,6.02,6,6.5,1,1004710040,0,41,985223,201622,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,295.3605901,3116.095922,1246950,0,0,11589,11591,14,3150,28.125,36.13999939,8.01499939,30.03460257,3.032744744,420.484436 +11591,MN,201,30,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,62 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,OAK DOUG RLTY CO,3662,15364,4412,10952,750,3662,0,0,0,0,2,1,6,15,21,48.75,75,49,62, ,3,N,5,2,247500,917100,0,0,1910,1983,0, , ,4.2,3.44,6,6.5,1,1002010030,0,29,984844,199986,12d,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,254.0913052,3839.151328,669600,14,0,11590,11592,16,3600,33.0379982,33.0379982,0,33.0379982,0,528.6079712 +11592,MN,237,35,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,189 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,189 HESTER ST LLC,1877,7731,1500,6231,0,1500,0,0,0,0,2,1,5,8,9,24.92,75.33,25,68, ,3,N,5,2,61951,286908,0,0,1900,0,0, , ,4.12,6.02,6,6.5,1,1002370035,0,41,984903,200948,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,203.59669,1976.412487,224957,0,0,11591,11593,8,1800,30.73800087,32.43099976,1.692998886,32.07829165,0.626987635,256.6263332 +11593,MN,575,128,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,54 WEST 12 STREET,R6, , , , , , , , , ,N,C2,2,0, ,54 WEST 12TH PARTNERS,2065,4313,0,4313,0,0,0,0,0,0,2,1,3,5,5,20,103.25,20,60, ,3,N,5,5,331278,555621,0,0,1920,1979,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1005750128,0,63,985186,207157,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,252.9729022,2129.701328,224343,8,0,11592,11594,10,2250,24.42399979,27.60333443,3.179334641,24.74193325,0.953800392,247.4193325 +11594,MN,889,30,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,155 EAST 33 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,ELYSIAN HOLDINGS CORP,1975,4903,1840,3063,0,1840,0,0,0,0,2,1,4,6,7,20,98.75,20,92,E,3,N,5,2,102250,420140,0,0,1910,2009,2009, , ,2.48,4,0,4,1,1008890030,0,72,989974,210924,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,241.2267181,2012.277962,317890,10,0,11593,11595,9,2025,24.63888931,26.56777763,1.928888321,24.85321024,0.606191116,223.6788921 +11595,MN,210,5,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,336 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,D5,3,0,P,CANAL VENTURE INC,2296,21000,5250,15750,2625,2625,0,0,0,0,2,1,8,14,18,51,52.42,51,52, ,3,Y,5,2,292050,1258650,0,0,1915,1987,0,Tribeca East Historic District, ,9.15,6.02,6,6.5,1,1002100005,0,33,983310,201664,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,198.6740823,2436.469203,966600,0,1,11594,11596,11,2475,11.44777775,12.33199978,0.884222031,12.18961603,0.305103122,134.0857763 +11596,MN,607,46,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,467 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,BARNETT 467 LLC,1080,3240,1455,1785,0,1455,0,0,0,0,2,1,4,2,3,18,60,59,18, ,3,N,5,2,105089,220368,0,0,1910,0,0,Greenwich Village Historic District, ,3,3.44,2,6.5,1,1006070046,0,71,984690,207295,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,159.4440913,1124.028831,115279,8,0,11595,11597,5,1125,21.80333328,21.80333328,0,21.80333328,0,109.0166664 +11597,MN,573,37,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,10 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0, ,10 GREENWICH VILLAGE,2399,8472,0,6644,0,0,0,0,0,0,2,1,5,1,1,26,92.25,26,75, ,2,N,5,1,68278,498832,0,0,1900,2009,2004,Greenwich Village Historic District, ,3.53,2.43,0,4.8,1,1005730037,0,63,985276,206524,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,243.2077555,2630.462331,430554,8,0,11596,11598,13,2925,18.98099899,26.31666565,7.335666656,19.55449471,1.952329705,254.2084312 +11598,MN,818,13,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,41 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C6,2,0, ,41 W 16TH ST INC,1932,6300,0,6300,0,0,0,0,0,0,2,1,4,10,10,21,92,21,52, ,3,N,5,1,133362,494834,14160,14160,1925,1968,0, , ,3.26,6.02,6,6.5,1,1008180013,0,54,985673,208328,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,230.9211019,1933.558398,361472,7,0,11597,11599,9,2025,31.11599922,33.15000153,2.034002304,31.39849324,0.628338765,282.5864391 +11599,MN,593,23,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,395 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K7,5,0,P,SIXTH AVENUE OWNER LL,2462,4926,4926,0,0,4926,0,0,0,0,2,1,2,0,1,31,80,31,80, ,3,Y,5,2,810000,2573550,0,0,1915,1982,2013,Greenwich Village Historic District, ,2,3.44,3.4,6.5,1,1005930023,0,71,984231,206483,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,232.485002,2585.46098,1763550,8,0,11598,11600,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +11600,MN,624,31,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,8 8 AVENUE,C1-6,R6, , , , , , , , ,Y,D9,3,0, ,ALPERT CHARLES,7612,35136,0,35136,0,0,0,0,0,0,2,1,6,42,42,97.08,105,92,78, ,3,Y,5,2,589500,3280500,0,0,1930,1987,0,Greenwich Village Historic District, ,4.62,3.44,2,6.5,1,1006240031,0,77,982888,207832,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,410.7986481,7974.831692,2691000,8,0,11599,11601,38,8550,20.58111191,20.58111191,0,20.58111191,0,782.0822525 +11601,MN,293,9,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,24 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,WANG & WANG LLC,1575,6500,1300,5200,0,1300,0,0,0,0,2,1,5,8,10,25,63,25,52, ,3,N,5,2,70793,230630,0,0,1900,1985,0, , ,4.13,3.44,6,6.5,1,1002930009,0,16,986093,199786,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,179.7424051,1567.696011,159837,16,0,11600,11602,7,1575,41.23199844,41.23199844,0,41.23199844,0,288.6239891 +11602,MN,603,51,102,69,1006,2,3,10014,E024,6,15,6400,1,2,2B,637 GREENWICH STREET,M1-5, , , , , , , , , ,N,S1,4,0, ,"RYMAN, GEORGE C",2828,8520,3670,4850,3670,0,0,0,0,0,2,1,4,1,2,25.17,114.08,25,109, ,0,Y,5,5,22500,175320,0,0,1920,1989,0, , ,3.01,0,5,6.5,1,1006030051,0,69,982149,205756,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,281.3043281,2957.828198,152820,9,0,11601,11603,13,2925,15.32666683,17.90222168,2.575554848,16.01347014,0.942647319,208.1751118 +11603,MN,348,13,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,147 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,EL CARIBE HOUSING DEV,979,5441,800,4641,0,800,0,0,0,0,2,1,5,7,8,18.83,52,19,51, ,2,N,3,0,50689,313372,0,243977,1910,1997,0, , ,5.56,4,0,4,1,1003480013,0,1402,988167,201292,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,150.6302702,1115.016976,262683,13,0,11602,11604,5,1125,24.76333427,27.21111107,2.447776794,25.6734005,1.119932432,128.3670025 +11604,MN,508,38,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,247 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,247-251 OPERATING COR,2641,11820,2940,8880,0,2940,0,0,0,0,2,1,5,16,19,30,89.17,30,74, ,3,N,5,2,77400,374850,0,0,1910,0,0, , ,4.48,6.02,6,6.5,1,1005080038,0,43,985888,202866,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,247.3893218,2834.562586,297450,9,0,11603,11605,13,2925,43.06000137,43.36111069,0.301109314,43.08632601,0.080071173,560.1222382 +11605,MN,410,7,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,132 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,FRANCO EQUITIES LLC,2207,8969,1800,7169,0,1800,0,0,0,0,2,1,5,16,18,25.08,88,25,71, ,3,N,5,2,77850,841500,0,0,1900,1988,0, , ,4.06,4,4,4,1,1004100007,0,18,987253,201480,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,233.1858827,2267.94634,763650,13,0,11604,11606,11,2475,33.47900009,37.40333557,3.92433548,34.17988899,1.487104725,375.9787788 +11606,MN,915,32,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2B,633 2 AVENUE,R9, , , ,C2-5, ,TA, , , ,N,S3,4,0,P,"G.N.E. REALTY, LLC",1495,4387,1444,2943,0,1444,0,0,0,0,2,1,4,3,4,19.67,76,20,76,E,3,N,5,5,196341,456137,0,0,1910,0,0, , ,2.93,7.52,0,10,1,1009150032,0,78,990934,210802,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,197.5601666,1532.762439,259796,10,0,11605,11607,8,1800,18.38999939,18.38999939,0,18.38999939,0,147.1199951 +11607,MN,377,70,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,235 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,B1,1,0,P,KHANI JOHN,882,2160,0,2160,0,0,0,0,0,0,2,1,4,2,2,18,48.75,18,40, ,1,Y,5,2,61206,133772,0,0,2003,0,0, , ,2.45,4,0,4,1,1003770070,0,2602,990224,203076,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,138.9462591,926.5052658,72566,12,1,11606,11608,4,900,7.409999847,8.397777557,0.98777771,7.86591661,0.393917433,31.46366644 +11608,MN,214,7501,101,39,4001,2,1,10013,L008,1,15,7700,3,1, ,405 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2504,15532,6608,8924,0,6608,0,0,0,0,2,1,6,4,6,25.08,100,25,100, ,0,N,0,5,54589,633755,2360,2360,1900,0,0,Tribeca West Historic District, ,6.2,6.02,6,6.5,1,1002147501,1246,39,981571,201975,12a, ,11N 039,10105, ,1002140005,12/17/2002,1, , ,17V1.1,7,260.6640456,2617.210818,579166,14,1,11607,11609,11,2475,12.28499985,12.28499985,0,12.28499985,0,135.1349983 +11609,MN,925,40,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,341 1 AVENUE,C1-6A, , , , , , , , , ,N,S4,4,0, ,"DURO REALTY,",1840,4439,1000,3439,0,1000,0,0,0,0,2,1,4,4,5,23,80,23,46, ,3,N,5,5,91894,566150,0,0,1910,1986,0, , ,2.41,4,2,4,1,1009250040,0,64,989712,207052,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,217.4495071,2104.810581,474256,5,0,11608,11610,10,2250,15.27999973,15.27999973,0,15.27999973,0,152.7999973 +11610,MN,776,12,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,241 WEST 26 STREET,C6-2A, , , , , , , , , ,N,G1,10,0,P,"MITCHELL, LYNN SUE",6300,34213,34213,0,280,800,33133,0,0,0,2,1,6,0,1,63.75,98.75,63.75,88.17,E,0,Y,5,2,751500,2287800,0,0,1930,0,0, , ,5.43,6.02,6,6.5,1,1007760012,0,95,985336,211432,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,324.6909192,6232.280604,1536300,2,0,11609,11611,27,6075,26.70400047,26.70400047,0,26.70400047,0,721.0080128 +11611,MN,825,8,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,67 WEST 23 STREET,M1-6, , , , , , , , , ,N,K1,5,0,P,MASONIC HL&ASYLUM FND,1975,1975,1975,0,0,1975,0,0,0,0,2,1,1,0,2,20,98.75,20,99, ,3,N,5,2,333000,1035900,0,0,1976,1986,0,Ladies' Mile Historic District, ,1,0,10,10,1,1008250008,0,58,986486,209911,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,252.2800058,2112.030996,702900,2,0,11610,11612,10,2250,35.56344604,35.97100067,0.407554626,35.93024521,0.122266388,359.3024521 +11612,MN,597,1,102,37,1013,2,3,10013,E024,1,15,6800,1,2,1B,515 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,O5,5,0,P,"DARA PARTNERS, L.P.",13687,59615,59615,0,49615,10000,0,0,0,0,2,1,5,0,11,100.83,125.83,100,125, ,2,Y,3,2,2700000,6416550,0,0,1910,2012,0, , ,4.36,0,10,10,1,1005970001,0,37,981833,203842,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,462.0515836,13198.71143,3716550,0,1,11611,11613,59,13275,11.33066654,13.17199993,1.841333389,13.13144249,0.246936237,774.7551069 +11613,MN,791,29,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,119 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,119 WEST 15TH LLC,2581,13755,0,13755,0,0,0,0,0,0,2,1,6,28,28,25,103.25,25,88, ,3,N,5,1,202500,1333350,0,0,1914,1989,0, , ,5.33,4,0,4,1,1007910029,0,81,985051,208377,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,265.6173529,2751.874252,1130850,7,0,11612,11614,13,2925,27.87888908,29.75666618,1.8777771,28.08256428,0.52474616,365.0733356 +11614,MN,629,41,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,67 8 AVENUE,C1-6, , , , , , , , , ,N,C6,2,0, ,67 8 AVE OWNERS INC,2583,10105,2000,8105,0,2000,0,0,0,0,2,1,5,18,20,25.83,100,26,90, ,3,N,5,2,270000,1439550,1158,1158,1910,0,0,Greenwich Village Historic District, ,3.91,3.44,2,6.5,1,1006290041,0,77,983360,208645,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,263.4752308,2809.223193,1169550,8,0,11613,11615,13,2925,16.45777702,17.40888977,0.951112747,16.53093954,0.2534424,214.9022141 +11615,MN,402,48,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,535 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,535 E 6TH ST HOUSING,2271,7235,600,6635,0,600,0,0,0,0,2,1,5,5,7,25,90.83,25,56, ,3,N,5,2,13345,63950,12080,12080,1900,0,0, , ,3.19,3,0,3,1,1004020048,0,32,989194,203395,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,238.9642078,2444.608143,50605,1,0,11614,11616,11,2475,12.85000038,14.86222267,2.01222229,13.66484876,0.910966773,150.3133364 +11616,MN,615,156,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,39 BANK STREET,R6, , , , , , , , , ,N,B9,1,0, ,CAROL FLATON,842,1748,0,1748,0,0,0,0,0,0,2,1,4,2,2,23.33,39.5,22.58,19.92, ,3,Y,5,2,26607,106058,0,0,1899,0,0,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1006150156,0,77,983296,207784,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,132.8727292,903.5054747,79451,8,0,11615,11617,4,900,23.05999947,25.57999992,2.520000458,23.68999958,1.091192207,94.75999832 +11617,MN,425,23,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,11 RIVINGTON STREET,C6-3A, , , , , , , , , ,N,H3,5,0,P,AGAWANI INTERNATIONAL,5000,26283,4380,0,0,4380,0,0,0,0,2,1,6,0,3,50,99.5,50,87, ,2,Y,5,2,1282500,2374650,0,0,1900,1989,0, , ,5.26,7.52,6,7.5,1,1004250023,0,18,986261,202022,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,301.0003658,4999.511124,1092150,13,0,11616,11618,22,4950,38.80888748,43.43000031,4.621112823,39.09123109,1.002959477,860.0070839 +11618,MN,568,26,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,15 EAST 10 STREET,R7-2,C1-7, , , , , , , , ,Y,D4,3,0, ,EAST 10TH ST OWNERS C,8475,36366,750,35616,750,0,0,0,0,0,2,1,6,39,40,97.67,94.75,98,80, ,2,Y,5,2,666000,3234600,28730,28730,1910,1986,0,Greenwich Village Historic District, ,4.29,3.44,0,6.5,1,1005680026,0,61,985841,206382,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,391.1881165,9127.320444,2568600,8,0,11617,11619,41,9225,29.93888855,33.33111191,3.392223358,30.0216257,0.523275714,1230.886654 +11619,MN,817,26,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,27 WEST 15 STREET,C6-2M, , , , , , , , , ,N,C5,2,0, ,THREE BRANCHES PROPER,2582,7690,1000,6690,0,1000,0,0,0,0,2,1,4,9,10,25,103.25,25,63, ,3,N,5,1,117446,603076,0,0,1925,1986,0, , ,2.98,6.02,6,6.5,1,1008170026,0,54,985812,207953,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,261.9826393,2671.22567,485630,7,0,11618,11620,11,2475,30.80200005,30.80200005,0,30.80200005,0,338.8220005 +11620,MN,889,61,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,140 EAST 34 STREET,C1-9,R8B, , , , , , , , ,Y,C7,4,0, ,150 EAST 34TH STREET,2590,7095,1924,5171,0,884,0,0,0,1040,2,1,5,7,9,20,129.5,20,96, ,3,Y,5,2,119758,734708,0,0,1910,0,0, , ,2.74,10,2,10,1,1008890061,0,72,989937,211043,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,323.3661393,2813.519871,614950,10,0,11619,11621,12,2700,31.66399956,34.06700134,2.403001785,33.66650105,0.89554589,403.9980125 +11621,MN,460,19,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,216 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,216 EAST 5TH STREET M,2308,6853,0,6853,0,0,0,0,0,0,2,1,5,12,12,25,92.33,25,50, ,3,N,5,1,142200,743400,0,0,1900,1987,0,East Village/Lower East Side Historic Di, ,2.97,4,0,4,1,1004600019,0,38,986883,204214,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,237.2949224,2319.11794,601200,1,0,11620,11622,11,2475,35.65444565,40.28333282,4.628887177,36.87878834,1.729120267,405.6666718 +11622,MN,804,34,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,815 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,HS,5,0,P,815 NY LENDER LLC,3823,73497,1700,0,0,1700,0,0,0,0,2,1,29,0,1,49.33,77.5,49.37,77.5, ,0,N,3,5,2250000,12461148,0,0,2004,0,0, , ,19.22,10,10,10,1,1008040034,0,95,986826,211168,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,254.917514,3869.039557,10211100,2,0,11621,11623,16,3600,40.67900085,42.84666824,2.167667389,40.81448007,0.524708731,653.0316811 +11623,MN,863,7501,105,74,2000,2,2,10016,L007,14,15,5200,1,5, ,45 EAST 33 STREET,C5-2,C5-3, , , , , , , , ,Y,RC,5,0, , ,8344,110423,6694,0,0,6694,0,0,0,0,2,2,28,0,2,84.5,98.75,84,80, ,1,N,0,5,3754801,24328289,0,0,2013,0,0, , ,13.23,10,10,10,1,1008637501,2451,74,989154,211377,8d, ,104 018,10306, ,1008630035,12/18/2013,1, , ,17V1.1,7,376.1087805,8763.321253,20573500,10,0,11622,11624,39,8775,49.51499939,55.04444504,5.529445648,49.67495669,0.878218267,1937.323311 +11624,MN,830,4,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,822 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,8226 AVE REEALTY CORP,2125,4517,4517,0,2517,2000,0,0,0,0,2,1,4,0,4,20,99.92,20,95,E,3,Y,5,2,270000,652500,0,0,1920,0,0, , ,2.13,10,10,10,1,1008300004,0,76,987020,211131,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,257.7648185,2266.007717,382500,2,0,11623,11625,9,2025,44.11000061,44.93099976,0.820999146,44.51346927,0.246121501,400.6212235 +11625,MN,559,141,103,42,1000,1,2,10003,L003,9,14,6200,1,3,4B,143 EAST 13 STREET,C1-9A, , , , , , , , , ,N,S9,4,0, ,W P CURRY,1000,4000,1000,3000,0,1000,0,0,0,0,2,1,4,6,8,40,25,40,25, ,3,N,5,2,14088,131008,14088,18231,1865,0,0, , ,4,10,2,10,1,1005590141,0,42,987571,206282,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,138.2457172,1136.641013,116920,12,0,11624,11626,5,1125,36.68999863,36.68999863,0,36.68999863,0,183.4499931 +11626,MN,939,20,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,331 EAST 33 STREET,R8A, , , , , , , , , ,N,C5,2,1, ,331 EAST 33RD LLC,2469,9200,0,9200,0,0,0,0,0,0,2,1,5,22,22,25,98.75,25,81, ,2,N,5,1,137250,1406700,0,0,1910,1988,0, , ,3.73,6,0,6,1,1009390020,0,70,991197,210247,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,251.2295183,2522.863094,1269450,10,1,11625,11627,11,2475,10.03999996,11.05000019,1.010000229,10.21686866,0.375530724,112.3855553 +11627,MN,470,3,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,156 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,D7,4,0, ,"LILY & SAM, INC.",2319,10843,3722,7121,0,2256,0,0,0,1466,2,1,6,5,6,24.67,94,24,90, ,0,N,5,5,35820,698615,0,174754,2008,0,0, , ,4.68,6.02,6,6.5,1,1004700003,0,41,985339,201381,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,244.4944638,2375.37286,662795,0,0,11626,11628,9,2025,28.80888939,32.27555466,3.466665268,29.19407442,1.089467786,262.7466698 +11628,MN,914,23,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,247 EAST 33 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,BOLANOS PROPERTIES LL,3620,12530,0,12530,0,0,0,0,0,0,2,1,5,24,24,36.67,98.75,37,60, ,3,N,5,1,274050,1899000,0,0,1925,1988,0, , ,3.46,4,0,4,1,1009140023,0,70,990689,210528,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,277.308557,3698.865383,1624950,10,0,11627,11629,17,3825,17.92555618,21.58333397,3.657777786,18.61381755,1.042898117,316.4348984 +11629,MN,902,9,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,207 EAST 21 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,20721 OWNERS CORPORAT,4641,22476,0,22476,0,0,0,0,0,0,2,1,5,40,40,47,98.75,47,99,G,2,N,5,1,405000,2466900,18880,18880,1930,1976,0, , ,4.84,4,0,4,1,1009020009,0,64,988870,207959,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,299.3825952,4816.795921,2061900,5,0,11628,11630,22,4950,19.86555672,19.86555672,0,19.86555672,0,437.0422478 +11630,MN,164,50,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,11 MOTT STREET,C6-1, , , , , ,TA, , , ,N,S9,4,0,P,CHUN WAH REALTY CORP.,2788,13622,6602,7020,2340,4262,0,0,0,0,2,1,5,6,10,25.5,97.25,26,90, ,3,Y,5,2,217626,726238,0,0,1900,1980,0, , ,4.89,3.44,6,6.5,1,1001640050,0,29,984529,199417,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,261.2203921,2815.710925,508612,16,0,11629,11631,14,3150,25.58300018,25.58300018,0,25.58300018,0,358.1620026 +11631,MN,520,41,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,19 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C0,2,0, ,PAIGE P CONNER,1575,2520,0,2520,0,0,0,0,0,0,2,1,3,3,3,21,75,21,38, ,2,N,5,2,37008,133041,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.6,3.44,0,6.5,1,1005200041,0,37,983287,204465,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,201.6595279,1644.512231,96033,9,0,11630,11632,6,1350,16.76099968,22.63999939,5.87899971,19.995574,2.579163363,119.973444 +11632,MN,595,16,101,39,1002,2,1,10013,L008,1,15,7700,1,1,3B,466 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,466 TENANTS CORP,7538,55352,1200,54152,0,1200,0,0,0,0,2,1,8,15,20,70,100,70,100, ,2,N,5,2,360900,5377950,4720,4720,1926,1919,0, , ,7.34,6.02,6,6.5,1,1005950016,0,39,981362,203311,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,354.3382257,7598.550402,5017050,0,1,11631,11633,34,7650,7.809999943,8.745554924,0.935554981,7.863692746,0.194955334,267.3655534 +11633,MN,583,11,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,66 MORTON STREET,C1-6,R6, , , , , , , , ,Y,C0,2,0, ,TRIPLE Y PROPERTIES L,2500,5328,0,3996,0,0,0,0,0,0,2,1,2,3,3,25,100,25,56, ,3,N,5,1,48589,174182,0,0,1901,0,0,Greenwich Village Historic District, ,2.13,3.44,2,6.5,1,1005830011,0,67,982509,205484,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,246.0372923,2301.84917,125593,9,0,11632,11634,11,2475,15.38333321,19.48333359,4.100000381,16.18349491,1.249716297,178.0184441 +11634,MN,277,49,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,27 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,27 CATHERINE MNGT COE,2560,10781,1990,8790,0,1990,0,0,0,0,2,1,6,20,22,33.92,78,39,68, ,2,Y,5,2,173250,484650,0,0,1900,1980,0, , ,4.21,3.44,0,6.5,1,1002770049,0,8,985118,198912,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,225.9078892,2645.147813,311400,16,0,11633,11635,12,2700,21.55400085,21.55400085,0,21.55400085,0,258.6480103 +11635,MN,279,64,103,27,1003,2,1,10038,E009,5,14,7800,1,3,1A,3 EAST BROADWAY,C6-1G, , , , , ,TA, , , ,N,S1,4,0, ,DIN HERBERT C,1037,4104,1104,3000,0,0,0,1104,0,0,2,1,4,1,2,17.92,60,18,59, ,3,Y,5,2,38088,98784,1550,1550,1910,0,0, , ,3.96,3.44,6,6.5,1,1002790064,0,27,984858,199126,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,158.1041424,1119.386871,60696,16,0,11634,11636,5,1125,27.60099983,32.84777832,5.246778488,29.61815529,2.473863907,148.0907764 +11636,MN,764,7502,104,81,6000,2,3,10011,L012,10,15,5600,1,4, ,221 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,RM,4,0, ,220 221 223 CONDO B/M,8141,20982,4354,16628,0,1788,0,2566,0,0,2,3,4,34,36,50,206.5,0,0, ,0,Y,5,5,630450,2539804,26239,45211,1930,1992,0, , ,2.58,6.02,6,6.5,1,1007647502,794,81,984116,208629,8d, ,103 032,10304, ,1007640026,2/10/1992,1, , ,17V1.1,7,534.8217404,8767.207646,1909350,7,0,11635,11637,41,9225,24.42199898,26.08911133,1.66711235,24.71682856,0.463875223,1013.389971 +11637,MN,425,31,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,167 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,K4,4,0, ,167 CHRYSTIE STREETCO,2742,5250,5250,0,2625,2625,0,0,0,0,2,1,2,0,1,25.08,109.33,25.08,109.33, ,0,N,5,5,171000,492300,0,0,1900,0,0, , ,1.91,7.52,6,7.5,1,1004250031,0,18,986230,201885,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,278.1425594,2850.871853,321300,13,0,11636,11638,12,2700,38.80888748,38.80888748,0,38.80888748,0,465.7066498 +11638,MN,450,10,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,310 EAST 9 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,310 EAST NINTH OWNERS,2013,6875,0,5500,0,0,0,0,0,0,2,1,4,3,3,25,80.5,25,55, ,2,N,5,1,34624,106750,0,0,1901,2005,0, , ,3.42,4,0,4,1,1004500010,0,38,987916,204791,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,220.9995474,2192.515796,72126,12,0,11637,11639,10,2250,25.4810009,30.36344528,4.882444382,26.3618454,1.774623158,263.618454 +11639,MN,459,32,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,57 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,D9,3,0, ,57-59 SECOND OWNER LL,4808,36720,4000,32720,2000,2000,0,0,0,0,2,1,9,33,35,48.08,100,48,83, ,3,N,5,2,296550,678150,0,0,1920,1986,0,East Village/Lower East Side Historic Di, ,7.64,4,0,4,1,1004590032,0,38,987021,203762,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,299.2035549,4882.231226,381600,1,0,11638,11640,22,4950,35.86666489,35.86666489,0,35.86666489,0,789.0666275 +11640,MN,883,45,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,378 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,D7,4,0,P,378 THIRD ASSOCIATES,2962,15688,5900,9788,0,5900,0,0,0,0,2,1,5,8,10,24.67,120,25,118,E,3,N,5,2,320551,1849900,0,0,1910,2007,2007, , ,5.3,10,2,10,1,1008830045,0,68,989366,209481,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,298.0395745,3246.806783,1529350,11,0,11639,11641,14,3150,39.41899872,39.41899872,0,39.41899872,0,551.8659821 +11641,MN,630,140,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,258 WEST 10 STREET,R6, , , , , , , , , ,N,A9,1,0, ,KOVEN CORY L,1178,2026,0,2026,0,0,0,0,0,0,2,1,4,1,1,44,25,39,20, ,2,Y,5,4,30129,143078,1550,1550,1989,0,0,Greenwich Village Historic District, ,1.72,2.43,0,4.8,1,1006300140,0,75,982336,206518,12a, ,103 012,10210, ,1006300034,1/31/1994,1, , ,17V1.1,0,149.3116782,1221.799861,112949,9,0,11640,11642,5,1125,18.16222191,18.16222191,0,18.16222191,0,90.81110954 +11642,MN,833,36,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,5 WEST 31 STREET,C6-4, , , , , , , , , ,N,O6,5,0,P,RAHMAN NY INC,2475,23835,23835,0,19335,4500,0,0,0,0,2,1,10,0,10,25,98.75,25,93, ,3,Y,5,2,495000,1407150,0,0,1910,0,0, , ,9.63,10,10,10,1,1008330036,0,76,988017,211419,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,253.4618803,2560.52597,912150,10,0,11641,11643,11,2475,41.76111221,41.76111221,0,41.76111221,0,459.3722343 +11643,MN,474,10,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,461 BROOME STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,461-463 BROOME STREET,2292,10012,1950,8062,0,0,0,0,0,1950,2,1,5,4,5,23.92,95.83,24,93,E,3,N,5,2,89463,428581,2174,2174,1920,2008,0,SoHo-Cast Iron Historic District, ,4.37,0,5,6.5,1,1004740010,0,47,983908,202395,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,248.3746137,2345.677919,339118,0,0,11642,11644,11,2475,14.17000008,20.30666733,6.136667252,14.72787892,1.764167796,162.0066681 +11644,MN,915,4,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,513 3 AVENUE,C1-9, , , , , , , , , ,N,S4,4,0, ,"A.T.P. ENTERPRISES, L",2467,8018,2200,5818,0,2200,0,0,0,0,2,1,5,4,5,24.67,100,24.67,60,E,0,N,5,5,120107,870922,0,0,1910,2010,0, , ,3.25,10,2,10,1,1009150004,0,78,990463,211037,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,260.1676111,2735.884665,750815,10,0,11643,11645,12,2700,27.39299965,30.67777824,3.284778595,27.6667312,0.907864843,332.0007744 +11645,MN,908,34,106,66,2000,2,2,10016,E016,13,14,5800,1,6,2A,495 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0,P,495 SECOND AVENUE LLC,2469,9715,1650,8065,0,1650,0,0,0,0,2,2,5,14,15,24.67,100,25,98, ,2,N,3,2,135000,888750,0,0,1910,1987,0, , ,3.93,7.52,2,7.5,1,1009080034,0,66,990066,209266,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,271.1049522,2936.627254,753750,11,0,11644,11646,13,2925,32.6922226,33.88999939,1.197776794,32.85841898,0.392187069,427.1594467 +11646,MN,189,7505,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,112 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,112 HUDSON ASSOCIATES,1640,7215,1760,5455,0,0,0,0,0,1760,2,1,6,5,6,0.03,0,0,0, ,0,N,0,5,70034,702230,4720,4720,1915,0,0,Tribeca West Historic District, ,4.4,6.02,6,6.5,1,1001897505,838,33,981932,201434,12a, ,101S035,10105, ,1001890017,11/18/1993,1, , ,17V1.1,7,196.7328163,1560.255929,632196,14,1,11645,11647,5,1125,10.17444515,10.17444515,0,10.17444515,0,50.87222576 +11647,MN,625,38,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,23 8 AVENUE,C1-6, , , , , , , , , ,N,S1,4,0, ,"BOGART, BETH ANN",640,2400,1200,1200,0,600,0,0,0,600,2,1,3,1,2,20,35,20,30, ,3,Y,5,5,37705,79127,1550,1550,1920,0,0,Greenwich Village Historic District, ,3.75,3.44,2,6.5,1,1006250038,0,77,982960,208123,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,112.7191879,739.8644129,41422,8,0,11646,11648,3,675,17.76333427,20.49555588,2.732221603,19.56703695,1.275596242,58.70111084 +11648,MN,372,14,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,282 EAST 3 STREET,R8B, , , , , , , , , ,N,N2,8,0,C,NYC DHS,4424,23530,23530,0,0,0,0,0,0,23530,2,1,6,0,1,41.75,105.92,40,105, ,2,N,5,2,298800,1223100,298800,1223100,1975,1989,0, , ,5.32,4,0,4,1,1003720014,0,2202,989752,202038,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,301.4729,4481.803831,924300,1,0,11647,11649,20,4500,13.36666679,14.41888905,1.052222252,13.41927791,0.229326523,268.3855581 +11649,MN,699,49,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,526 WEST 28 STREET,C6-3, , , , , ,WCH, , , ,N,D7,4,0, ,WC 28 REALTY LLC,19250,120983,11040,109943,0,11040,0,0,0,0,2,1,11,36,38,100,197.5,100,197.5, ,3,Y,4,2,3032100,6913800,0,0,2015,0,0, , ,6.28,7.52,6,10,1,1006990049,0,99,983296,212918,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,605.3389662,19842.11334,3881700,2,1,11648,11650,89,20025,11.54199982,12.68000031,1.138000488,11.58145801,0.181146565,1030.749763 +11650,MN,214,10,101,39,4001,2,1,10013,L008,1,15,7700,1,1,3B,17 HUBERT STREET,C6-2A, , , , , ,TMU, , , ,N,A5,1,0, ,AHEARN CHARLES D,625,3125,0,3125,0,0,0,0,0,0,2,1,5,1,1,25,25,25,25, ,0,N,5,5,18159,166348,0,0,1900,0,0,Tribeca West Historic District, ,5,6.02,6,6.5,1,1002140010,0,39,981601,202073,12a, ,101N039,10105, ,0, ,1, , ,17V1.1,0,102.0007027,650.0044982,148189,14,0,11649,11651,4,900,12.28499985,12.28499985,0,12.28499985,0,49.13999939 +11651,MN,445,51,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,71 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,71 E THIRD ST TENANTS,2404,11046,0,11046,0,0,0,0,0,0,2,1,6,24,24,25,96.17,25,80, ,2,N,5,1,118350,904950,7080,7080,1900,1983,0, , ,4.59,4,0,4,1,1004450051,0,38,987433,203505,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,248.5653339,2471.061167,786600,1,0,11650,11652,10,2250,29.97444344,30.07155609,0.097112656,29.9841547,0.029133797,299.841547 +11652,MN,193,46,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,391 BROADWAY,C6-2A, , , , , , , , , ,N,L8,6,0, ,391 BROADWAY LLC,2500,11300,11300,0,9000,2300,0,0,0,0,2,1,5,0,5,25.08,99.92,25,93,E,3,N,5,2,189000,1762200,0,0,1915,2013,0,Tribeca East Historic District, ,4.52,6.02,6,6.5,1,1001930046,0,33,983412,201041,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,265.0801149,2679.929094,1573200,14,0,11651,11653,11,2475,13.68111134,14.12277794,0.441666603,13.72126285,0.126970221,150.9338913 +11653,MN,447,38,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,341 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,FAR EAST REALTY,2425,8100,1300,6800,0,1300,0,0,0,0,2,2,5,25,26,25,97,25,54, ,0,N,5,5,218250,823050,0,0,1900,1987,0, , ,3.34,4,0,4,1,1004470038,0,38,987831,203861,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.7775337,2539.904133,604800,1,0,11652,11654,12,2700,27.01499939,30.63666725,3.621667862,28.65193494,1.438528558,343.8232193 +11654,MN,719,33,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,411 WEST 21 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,CHELSEA SQUARE NORTH,1980,6160,0,6160,0,0,0,0,0,0,2,1,5,5,5,22,90,22,64,E,3,N,5,1,37631,410036,11032,11032,1900,1962,2009,Chelsea Historic District, ,3.11,3,0,3,1,1007190033,0,89,983472,210945,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,228.7469646,2036.25505,372405,7,1,11653,11655,9,2025,9.307999611,12.56222248,3.25422287,9.787061373,1.035074769,88.08355236 +11655,MN,516,4,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,132 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,132 REALTY LLC,5770,24522,1635,22887,0,1635,0,0,0,0,2,1,6,39,41,60,96.17,60,82, ,3,N,5,2,430200,3646350,0,0,1900,2014,0,Sullivan-Thompson Historic District, ,4.25,3.44,0,6.5,1,1005160004,0,49,983968,203943,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,317.9799675,5939.272671,3216150,9,0,11654,11656,26,5850,17.67111206,19.27766609,1.606554031,17.7329026,0.308952698,461.0554676 +11656,MN,194,23,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,40 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,40 LISPENARD ST. LLC,2341,10505,2101,8404,0,2101,0,0,0,0,2,1,5,4,5,25,93.58,25,87,E,3,Y,5,2,117900,663750,0,0,1920,1986,2003,Tribeca East Historic District, ,4.49,6.02,6,6.5,1,1001940023,0,33,983241,201478,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,245.482217,2510.869593,545850,0,0,11655,11657,12,2700,12.8255558,14.72000027,1.894444466,12.98342617,0.52359679,155.8011141 +11657,MN,641,60,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,339 WEST 12 STREET,R6, , , , , , , , , ,N,B1,1,0,P,"WESTERN CLINE NY, LLC",1453,2592,0,1944,0,0,0,0,0,0,2,1,3,2,2,18.17,80,18.17,36,E,3,N,5,1,115143,153714,0,0,1899,2010,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006410060,0,79,982336,208054,12a,Y,103 014,10210, ,0, ,1, , ,17V1.1,0,205.0627705,1509.852149,38571,8,0,11656,11658,6,1350,12.27999973,14.46333313,2.183333397,13.25277758,0.988630218,79.51666546 +11658,MN,744,20,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,333 WEST 20 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,333W20 LLC,1500,6526,0,6526,0,0,0,0,0,0,2,1,5,1,1,25,60,25,55.5,E,3,N,5,5,164816,465405,0,0,1900,2014,2014,Chelsea Historic District, ,4.35,3,0,3,1,1007440020,0,89,983901,210427,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,237.0402563,2375.120295,300589,7,0,11657,11659,11,2475,15.84222221,20.05333328,4.211111069,17.76393908,1.780197722,195.4033298 +11659,MN,184,5,101,39,2000,2,1,10013,L010,1,15,7700,1,1,3A, MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,142454,168830,168830,0,0,0,0,0,0,168830,2,3,2,0,1,125,939,125,939, ,0,Y,5,5,8550450,12012750,8550450,12012750,1940,0,0, , ,1.19,0,2,0,1,1001840005,0,39,980211,201720,12a, ,101S097,10105, ,0, ,1,1,1,17V1.1,0,1789.338213,79913.89804,3462300,14,1,11658,11660,297,66825,0,8.08555603,8.08555603,1.90661207,1.143092464,566.2637848 +11660,MN,587,54,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,41 BARROW STREET,C2-6, , , , , , , , , ,N,A4,1,0, ,"THOMASSON, ALTON ARNA",840,924,0,924,0,0,0,0,0,0,2,1,2.5,1,1,21,40,21,25, ,3,N,5,2,38881,93744,0,0,1899,0,0,Greenwich Village Historic District, ,1.1,3.44,2,6.5,1,1005870054,0,67,983134,205987,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,124.962121,885.7591985,54863,9,0,11659,11661,4,900,17.76222229,21.94000053,4.177778244,18.80666685,1.809031045,75.2266674 +11661,MN,574,5,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,450 AVENUE OF THE AMER,C1-6,R6, , , , , , , , ,Y,D5,3,0, ,"450 VILLAGE COMPANY,",7794,41296,5986,35310,0,5986,0,0,0,0,2,1,6,34,35,64.42,121,64,116, ,3,Y,5,2,1530000,6705000,0,0,1902,1981,0,Greenwich Village Historic District, ,5.3,3.44,2,6.5,1,1005740005,0,63,984776,207063,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,372.9683972,7944.363583,5175000,8,0,11660,11662,35,7875,20.66300011,21.68444443,1.021444321,20.71100328,0.199752672,724.8851147 +11662,MN,716,7505,104,89,3001,2,3,10011,E003,10,15,5600,1,4, ,456 WEST 19 STREET,R8A, , , ,C2-5, , , , , ,N,RM,4,0, , ,6967,42632,5989,36643,0,5989,0,0,0,0,2,1,11,22,24,69.67,100,70,100, 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ASSOCIATES LLC,5628,27785,27785,0,22785,5000,0,0,0,0,2,1,5,0,5,59.25,95,59,95, ,3,N,3,2,2011500,4151700,0,0,1926,0,0, , ,4.94,10,10,10,1,1008630001,0,74,988501,211716,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,336.6443713,6682.199151,2140200,10,0,11672,11674,28,6300,48.66333389,50.11500168,1.451667786,49.99637059,0.37195284,1399.898376 +11674,MN,537,22,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,546 LA GUARDIA PLACE,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,SANDO CORP,1969,6498,800,5698,0,800,0,0,0,0,2,2,4,11,12,21.83,75,22,45, ,0,Y,5,2,64350,809100,0,0,1900,1985,0,South Village Historic District, ,3.3,3.44,0,6.5,1,1005370022,0,65,984677,204883,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,230.2662125,1921.720496,744750,9,0,11673,11675,8,1800,27.39777756,27.39777756,0,27.39777756,0,219.1822205 +11675,MN,106,2,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,276 WATER STREET,C6-2A, , , , , ,LM, , , ,N,C0,2,0,P,"SCHIFFRES, ALAN",1866,10722,0,10722,0,0,0,0,0,0,2,1,6,3,3,25,76.62,25,71.5, 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Village Historic District, ,2.29,3.44,2,6.5,1,1006347501,2042,75,982460,207482,12a, ,103 013,10210, ,1006340054,12/7/2009,1, , ,17V1.1,7,179.7667154,1354.90465,214594,8,0,11678,11680,6,1350,18.61700058,20.4766674,1.859666824,19.12096341,0.740455039,114.7257805 +11680,MN,874,31,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,145 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,135 WEST 82ND STREET,1733,3198,0,3198,0,0,0,0,0,0,2,1,4,3,3,18.83,92,18.83,50, ,2,N,5,0,59621,148178,0,0,1910,0,0,Gramercy Park Historic District, ,1.85,4,0,4,1,1008740031,0,50,988117,207535,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,227.617846,1840.224317,88557,5,0,11679,11681,8,1800,27.68333435,31.23777771,3.554443359,28.84486175,1.512582322,230.758894 +11681,MN,623,24,102,77,4003,2,3,10014,L005,6,15,6100,1,2,3B,78 BANK STREET,C1-6, , , , , , , , , ,N,C1,2,0,P,78 BANK STREET LLC,4667,18475,0,18475,0,0,0,0,0,0,2,1,6,24,24,51,91.5,51,74, ,3,N,5,2,360000,2889000,0,0,1910,0,0,Greenwich Village Historic District, 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,1,1,1,17V1.1,0,2097.899508,76137.55159,1053900,8,1,11682,11684,245,55125,0,7.106666565,7.106666565,0.19921542,1.16169263,48.80777788 +11684,MN,284,7503,103,6,3001,2,1,10002,E015,7,14,7800,1,3, ,173 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,5217,45000,4310,40690,0,3820,0,490,0,0,2,1,10,30,33,52.17,100,52.17,100, ,0,N,0,5,274499,4257899,9442,15449,1912,2006,0, ,FORWARD BUILDING,8.63,3.44,0,6.5,1,1002847503,1575,6,987154,199358,12d, ,11N 056,10107, ,1002840023,11/3/2006,1, , ,17V1.1,7,312.4454039,5429.590588,3983400,13,0,11683,11685,22,4950,20.93000031,28.18000031,7.25,21.9385154,2.409913076,482.6473389 +11685,MN,181,4,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3A,14 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,HARRISON STUDIOS CORP,3286,15600,0,15600,0,0,0,0,0,0,2,1,6,5,5,37.5,87.75,38,88, ,3,N,5,2,609084,1063920,7490,7490,1915,0,0,Tribeca West Historic District, ,4.75,6.02,6,6.5,1,1001810004,0,39,981582,201201,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,259.1193255,3405.997585,454836,14,0,11684,11686,14,3150,18.14299965,18.25200081,0.10900116,18.19836535,0.05371912,254.7771149 +11686,MN,441,20,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,426 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,D/B/A P. ASSOCIATES,8647,31875,6375,25500,0,6375,0,0,0,0,2,3,5,45,51,75,120.67,25,72, ,0,Y,5,2,724500,3001050,0,0,1930,1986,0, , ,3.69,4,2,4,1,1004410020,0,34,989405,205424,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,394.4196388,8920.071569,2276550,12,0,11685,11687,38,8550,16.39666748,16.39666748,0,16.39666748,0,623.0733643 +11687,MN,587,35,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,56 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K1,5,0, ,"MORTILLARO, PHILLIP",118,113,113,0,0,113,0,0,0,0,2,1,1,0,1,19.67,15.58,10,8, ,2,Y,5,0,20700,44100,0,0,1910,0,0,Greenwich Village Historic District, ,0.96,3.44,2,6.5,1,1005870035,0,67,983079,205782,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,50.71239043,116.1744289,23400,9,0,11686,11688,1,225,20.51222229,20.51222229,0,20.51222229,0,20.51222229 +11688,MN,503,42,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,189 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,S2,4,0, ,LF EAST 21 PROPERTY C,1109,2973,697,2276,0,697,0,0,0,0,2,1,3,2,3,17.33,64,17.33,41, ,2,N,5,5,32942,82067,0,0,1899,2006,0,Sullivan-Thompson Historic District, ,2.68,3.44,0,6.5,1,1005030042,0,49,983444,203494,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,167.6337891,1160.530938,49125,0,0,11687,11689,6,1350,14.34111118,15.88000011,1.538888931,14.59759267,0.573510043,87.58555603 +11689,MN,770,49,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,214 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,WEST 21ST STREET ASSO,4815,19956,0,19956,0,0,0,0,0,0,2,1,6,30,30,46.67,103.17,47,90, ,3,Y,5,2,285300,2233350,0,0,1901,0,0, , ,4.14,4,0,4,1,1007700049,0,87,984929,209959,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,307.478817,4952.755044,1948050,7,0,11688,11690,22,4950,22.20999908,25.79222107,3.582221985,22.37282736,0.746172882,492.2022018 +11690,MN,619,15,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,240 WEST 10 STREET,R6, , , , , , , , , ,N,C7,4,0, ,240 242 W 10 ST CORP,2375,9780,1500,8280,0,1500,0,0,0,0,2,1,6,22,24,25,95,25,74, ,3,Y,5,2,292500,1050750,0,0,1901,1987,0,Greenwich Village Historic District, ,4.12,2.43,0,4.8,1,1006190015,0,73,982697,206565,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,241.153906,2393.657881,758250,9,0,11689,11691,11,2475,20.56999969,23.97999954,3.409999847,20.87999968,0.980306031,229.6799965 +11691,MN,925,29,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,351 EAST 19 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,SALLY METTLER,1840,4370,0,4370,0,0,0,0,0,0,2,1,3,2,2,20,92,20,50,E,3,N,5,1,72506,165888,1550,1550,1910,0,0, , ,2.38,3,0,3,1,1009250029,0,64,989545,207022,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.0744395,1849.581447,93382,5,0,11690,11692,9,2025,15.27999973,17.52777672,2.247776985,15.79259237,0.783392176,142.1333313 +11692,MN,468,20,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,222 EAST 13 STREET,R8B, , , , , , , , , ,N,S3,4,0,P,THE BEA ARTHUR RESIDE,2212,5928,1482,4446,0,0,0,0,0,0,2,1,3,3,4,21.42,103.25,21,58, ,3,N,5,1,136350,207450,136350,207450,1910,1985,0, , ,2.68,4,0,4,1,1004680020,0,40,987874,205975,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,255.4713445,2258.259115,71100,12,0,11691,11693,10,2250,28.72333336,34.64777756,5.924444199,30.51455536,2.265924349,305.1455536 +11693,MN,292,28,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,7 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"ZHONG GENG GROUP, LLC",1912,8262,1377,6885,0,1377,0,0,0,0,2,1,6,18,21,25.5,75,26,53, ,3,N,5,2,130500,877500,0,0,1900,0,0, , ,4.32,3.44,6,6.5,1,1002920028,0,16,985913,199643,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,205.2934003,1864.467337,747000,16,0,11692,11694,8,1800,39.91899872,42.29555511,2.376556396,40.54359627,0.884002147,324.3487701 +11694,MN,525,1,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,171 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,HIGHLAND PROPERTIES L,2500,9310,745,8565,0,745,0,0,0,0,2,1,5,13,15,25,100,25,88, ,3,N,5,2,60300,1036800,0,0,1900,1987,0,South Village Historic District, ,3.72,3.44,0,6.5,1,1005250001,0,65,984019,204491,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,257.0045703,2548.070368,976500,9,0,11693,11695,11,2475,23.62666702,24.34144592,0.7147789,23.69164692,0.205484486,260.6081162 +11695,MN,693,23,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,511 WEST 21 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,1, ,510 WEST 22ND STREET,19750,151884,151884,0,134548,17336,0,0,0,0,2,1,11,0,1,125,197.5,125,197.5, ,2,Y,4,0,1484100,3830400,0,0,1920,1991,2015, , ,7.69,0,5,6.5,1,1006930023,0,99,982668,211407,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,656.2357634,20324.90783,2346300,7,1,11694,11696,89,20025,6.691111088,8.691110611,1.999999523,6.749999973,0.304880341,600.7499976 +11696,MN,417,54,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,3B,179 EAST HOUSTON STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,179 EAST HOUSTON HOLD,2425,11004,1834,9170,0,1834,0,0,0,0,2,1,6,15,16,25,97,25,84, ,3,N,5,2,157500,1857150,0,0,1900,2000,0, , ,4.54,6.02,6,6.5,1,1004170054,0,3001,987486,202507,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,250.2856218,2466.370791,1699650,1,0,11695,11697,10,2250,33.19499969,36.53111267,3.336112976,33.62388878,1.009850335,336.2388878 +11697,MN,768,8,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,253 WEST 18 STREET,C6-2A, , , , , , , , , ,N,A4,1,0, ,AC 253W18 COMPANY LLC,1521,6984,0,6984,0,0,0,0,0,0,2,1,6,1,1,26,60,26,50, ,3,Y,5,5,174943,200625,0,0,1901,2015,2015, , ,4.59,6.02,6,6.5,1,1007680008,0,87,984248,209659,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,166.0977132,1405.012427,25682,7,0,11696,11698,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +11698,MN,386,55,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,231 EAST 3 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,DIVERSITY HOUSES HSG,1947,9550,1364,8186,1364,0,0,0,0,0,2,1,7,10,11,20.25,96.17,20,80, ,3,N,5,2,99000,638550,84150,542768,2005,2005,0, , ,4.9,4,0,4,1,1003860055,0,2601,989328,202454,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,238.6335568,1975.215342,539550,1,0,11697,11699,9,2025,14.43666649,14.43666649,0,14.43666649,0,129.9299984 +11699,MN,693,34,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,191 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,W2,8,0, ,RC CHURCH GUARDIAN AN,6475,25000,21000,4000,21000,0,0,0,0,0,2,1,4,0,2,64.75,100,64.75,100, ,3,N,5,2,661500,1372050,0,0,1930,1987,0, , ,3.86,6.02,6,6.5,1,1006930034,0,99,982805,211364,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,347.0693016,7255.494417,710550,7,1,11698,11700,32,7200,7.920000076,10.43555546,2.515555382,7.998611182,0.437688113,255.9555578 +11700,MN,392,37,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,145 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"NINE & C, LLC",3839,18836,2000,16836,0,2000,0,0,0,0,2,1,6,25,30,46.25,83,46,82, ,3,N,3,2,450000,2934450,0,0,1900,1982,0, , ,4.91,4,0,4,1,1003920037,0,28,990308,203601,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,270.3252767,4249.493234,2484450,12,1,11699,11701,20,4500,7.576999664,7.576999664,0,7.576999664,0,151.5399933 +11701,MN,206,5,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,121 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,CHAD-ERICK CHINATOWNE,2550,10485,2000,8485,0,2000,0,0,0,0,2,2,5,27,29,25.33,100.67,25,54, ,3,N,5,2,114750,708750,0,0,1910,0,0, , ,4.11,6.02,6,6.5,1,1002060005,0,41,984592,200847,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,260.4548695,2702.071472,594000,0,0,11700,11702,12,2700,22.5755558,25.95999908,3.384443283,25.67796214,0.935410708,308.1355457 +11702,MN,777,18,105,95,2002,2,3,10001,L024,10,15,5200,1,5,1H,243 WEST 27 STREET,C6-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,59350,300000,300000,0,0,0,0,0,0,300000,2,1,10,0,0,406.83,197.5,370.25,89, ,0,Y,5,5,8325000,35882550,8325000,35882550,1971,0,0, , ,5.05,6.02,6,6.5,1,1007770018,0,95,985698,211585,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,1222.55419,60847.18758,27557600,2,0,11701,11703,272,61200,26.70400047,32.04666901,5.342668533,27.93692923,1.960312229,7598.844749 +11703,MN,573,31,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,20 WEST 10 STREET,R6, , , , , , , , , ,N,C5,2,0, ,20 WEST 10TH STREET L,3867,11492,0,11492,0,0,0,0,0,0,2,1,4,20,20,41.92,92.25,21,64, ,3,N,5,2,135000,2106000,0,0,1860,0,0,Greenwich Village Historic District, ,2.97,2.43,0,4.8,1,1005730031,0,63,985128,206606,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,269.1822117,3842.842925,1971000,8,0,11702,11704,17,3825,18.98099899,20.80277634,1.821777344,19.16307752,0.458496404,325.7723179 +11704,MN,531,45,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,48 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,48 TENANTS CORP,5550,36390,5200,31190,0,5200,0,0,0,0,2,1,7,12,14,66,87.92,66,87, ,3,Y,5,2,180000,3586500,4720,4720,1920,1984,0,NoHo Historic District Extension, ,6.56,0,5,6.5,1,1005310045,0,5502,986390,204094,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,307.8020267,5771.864958,3406500,9,0,11703,11705,27,6075,41.26444626,41.26444626,0,41.26444626,0,1114.140049 +11705,MN,635,18,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,31 BETHUNE STREET,R6, , , , , , , , , ,N,C4,2,0, ,"ANCONA, STEVEN J",2105,7993,0,7993,0,0,0,0,0,0,2,1,5,9,9,22,92.83,22,76, ,3,Y,5,2,118577,414333,0,0,1910,2005,0,Greenwich Village Historic District, ,3.8,2.43,0,4.8,1,1006350018,0,79,982168,207704,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,229.5189172,2067.182463,295756,8,0,11704,11706,13,2925,13.34599972,14.1455555,0.799555779,13.45319631,0.254609938,174.891552 +11706,MN,847,34,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,45 EAST 18 STREET,M1-5M, , , , , , , , , ,N,K4,4,0, ,OLD TOWN BAR RESTAURA,1548,3800,3800,0,0,2603,0,1197,0,0,2,1,3,0,1,20,77,19,74,E,2,N,5,2,326250,1123650,0,0,1910,1986,0,Ladies' Mile Historic District, ,2.45,0,5,6.5,1,1008470034,0,52,987253,208002,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,205.9074199,1552.582266,797400,7,0,11705,11707,8,1800,36.35800171,40.16777802,3.809776306,38.04550076,1.734199487,304.364006 +11707,MN,445,6,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,64 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,LINDA LEVY,1698,6004,1600,4404,0,1600,0,0,0,0,2,1,5,4,5,20.17,84.17,20,82,E,3,N,5,5,108026,161010,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.54,4,0,4,1,1004450006,0,38,987209,203714,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,218.2137983,1830.758999,52984,1,0,11706,11708,8,1800,29.97444344,36.23555756,6.26111412,30.7570827,2.070668862,246.0566616 +11708,MN,553,39,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,119 WAVERLY PLACE,R6, , , , , , , , , ,N,C6,2,0, ,119 WAVERLY PL CORP,2325,9260,0,9260,0,0,0,0,0,0,2,1,5,5,5,23.25,100,23,88, ,3,N,5,2,142509,338839,4720,4720,1900,0,0,Greenwich Village Historic District, ,3.98,2.43,0,4.8,1,1005530039,0,63,984450,206253,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,254.6364139,2581.17387,196330,8,0,11707,11709,11,2475,17.50333405,17.50333405,0,17.50333405,0,192.5366745 +11709,MN,890,7502,106,72,1000,2,2,10016,L007,17,14,5300,2,6, ,108 EAST 35 STREET,R8B, , , , , , , , , ,N,R6,2,0, ,GERALD CULLEN RAPP IN,1646,4709,0,4709,0,0,0,0,0,0,2,1,4,2,2,0.03,0,0,0, ,0,N,5,5,38304,171258,1550,1550,1950,0,0,Murray Hill Historic District, ,2.86,4,0,4,1,1008907502,578,72,989700,211534,8d, ,104 031,10307, ,1008900080,7/22/1989,1, , ,17V1.1,7,247.8175479,1748.453928,132954,10,0,11708,11710,8,1800,54.3030014,63.62666702,9.323665619,55.7318759,3.062640265,445.8550072 +11710,MN,768,2,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,164 8 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0,P,HOPPYS RLTY CP,1320,4400,1100,3300,0,1100,0,0,0,0,2,1,4,5,6,22,60,22,50, ,3,N,5,5,104999,388957,0,0,1920,1987,0, , ,3.33,4,2,4,1,1007680002,0,87,984154,209716,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,165.7667796,1343.360637,283958,7,0,11709,11711,6,1350,21.88888931,21.88888931,0,21.88888931,0,131.3333359 +11711,MN,619,77,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2B,79 CHRISTOPHER STREET,R6, , , , , , , , , ,N,A4,1,0, ,"BANNER, NICHOLAS ROBE",1387,2144,0,1608,0,0,0,0,0,0,2,1,3,1,1,14.5,90.5,14.5,37, ,2,N,5,1,46538,244224,0,0,1920,2008,0,Greenwich Village Historic District, ,1.55,2.43,0,4.8,1,1006190077,0,73,983283,206587,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,214.0269621,1349.186287,197686,9,0,11710,11712,6,1350,23.46111107,23.46111107,0,23.46111107,0,140.7666664 +11712,MN,833,54,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,16 WEST 32 STREET,C6-4, , , , , , , , , ,N,O6,5,0, ,"PND,",6550,63479,63479,0,49248,14231,0,0,0,0,2,1,11,0,40,66.33,98.75,66,94,E,3,N,5,2,2304000,6582600,0,0,1908,1990,0, , ,9.69,10,10,10,1,1008330054,0,76,987932,211582,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,336.7003704,6833.190729,4278600,10,0,11711,11713,31,6975,41.76111221,44.36177826,2.600666046,41.89988635,0.540638473,1298.896477 +11713,MN,882,76,105,68,1001,2,2,10016,E016,13,14,5300,1,5,1B,116 EAST 27 STREET,C4-5A, , , , , , , , , ,N,O6,5,0,P,116 ASSOCIATES/440 RE,6584,70217,70217,0,67217,3000,0,0,0,0,2,1,12,0,14,66.67,98.75,66.67,88,E,3,N,5,2,2430000,6256350,0,0,1915,0,0, , ,10.66,4,4,4,1,1008820076,0,68,988732,209668,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,335.9913219,6746.649676,3826350,11,0,11712,11714,29,6525,33.85400009,35.86000061,2.006000519,33.96816096,0.429443884,985.0766678 +11714,MN,821,7502,105,54,1002,2,3,10011,E014,13,15,5700,1,5, ,29 WEST 19 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,2576,11623,2573,9050,1816,0,0,757,0,0,2,1,6,5,11,28,92,0,0, ,0,N,0,5,211601,1445440,2360,2360,1910,0,0,Ladies' Mile Historic District, ,4.51,10,10,10,1,1008217502,1405,54,986230,208857,8d, ,102 041,10306, ,1008210023,4/5/2005,1, , ,17V1.1,7,251.5920742,2828.640138,1233840,7,0,11713,11715,12,2700,32.91555405,32.91555405,0,32.91555405,0,394.9866486 +11715,MN,311,31,103,14.01,1001,2,1,10002,E015,7,14,7400,1,3,1B,192 EAST BROADWAY,R8, , , , , , , , , ,N,P8,8,0,C,NEW YORK PUBLIC LIBRA,6050,18028,18028,0,18028,0,0,0,0,0,2,1,4,0,1,52.25,116.25,52,80, ,1,Y,5,1,531000,1028250,531000,1028250,1909,0,0, ,"NEW YORK PUBLIC LIBRARY, SEWARD PAR",2.98,6.02,0,6.5,1,1003110031,0,1401,987425,199571,12d, ,101N052,10107, ,0, ,1, , ,17V1.1,0,355.2819028,6773.503819,497250,13,0,11714,11716,31,6975,24.7733345,27.5644455,2.791110992,24.96265338,0.607000167,773.8422546 +11716,MN,742,75,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,138 9 AVENUE,C2-6A, , , , , , , , , ,N,S2,4,0, ,138 NINTH LLC,995,2550,750,1800,0,750,0,0,0,0,2,1,3,2,3,16.58,60,16.58,45, ,3,N,5,2,39130,98784,0,0,1910,0,0, , ,2.56,4,2,4,1,1007420075,0,89,983411,210230,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,152.2055228,969.0839073,59654,7,0,11715,11717,4,900,15.59444427,15.59444427,0,15.59444427,0,62.3777771 +11717,MN,232,13,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,125 GRAND STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,"OLDFIELD, ANTHONY",4022,14800,4022,10778,0,4022,0,0,0,0,2,1,4,6,8,50.08,80.33,50,80,E,3,Y,5,2,229471,748051,0,0,1910,2006,0,SoHo-Cast Iron Historic District, ,3.68,0,5,6.5,1,1002320013,0,45,984162,201741,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,263.8560314,4113.994193,518580,0,0,11716,11718,18,4050,14.35888863,21.67000008,7.31111145,15.15567875,2.254145911,272.8022175 +11718,MN,409,2,103,18,2002,2,1,10002,E015,7,14,7400,1,3,2B,96 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,96 ORCHARD INC,2300,11232,2808,8424,468,2340,0,0,0,0,2,1,5,18,22,26,88.42,26,72, ,3,N,5,1,495000,1892250,0,0,1920,1997,0, , ,4.88,4,4,4,1,1004090002,0,18,987075,201023,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,236.9299244,2448.228633,1397250,13,0,11717,11719,12,2700,35.36399841,37.25999832,1.895999908,35.52199841,0.524026692,426.2639809 +11719,MN,719,12,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,451 WEST 21 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"DGT CHELSEA HOLDINGS,",1646,4416,0,3532,0,0,0,0,0,0,2,1,4,1,1,16.67,98.75,17,52, ,3,N,5,1,92519,262656,0,0,1910,0,0,Chelsea Historic District, ,2.68,3,0,3,1,1007190012,0,89,983122,211143,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,237.2314399,1640.722415,170137,7,1,11718,11720,8,1800,9.307999611,12.69111061,3.383111,10.31611085,1.392182036,82.5288868 +11720,MN,510,1,102,43,3002,2,1,10012,L020,5,15,6800,1,2,1A,63 PRINCE STREET,M1-5B, , , , , , , , , ,N,O6,5,0,P,ROC-LAFAYETTE ASSOCIA,11858,169961,169961,0,160896,9065,0,0,0,0,2,1,15,0,108,84.67,143.42,84,144, ,2,Y,3,2,2668500,40396500,0,0,1927,0,0,SoHo-Cast Iron Historic District Extensi, ,14.33,0,5,6.5,1,1005100001,0,43,985204,203051,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,471.5439181,13210.00449,37728000,9,0,11719,11721,59,13275,38.23444366,39.74311066,1.508666992,38.70835385,0.193295534,2283.792877 +11721,MN,633,44,102,75,3001,2,3,10014,L005,6,15,6400,1,2,2K,745 GREENWICH STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,WILLIAM MITCHELL REVO,1178,1836,0,1836,0,0,0,0,0,0,2,1,3,2,2,18.92,61.92,18.92,34, ,3,Y,5,2,47854,117525,1550,1550,1899,0,0,Greenwich Village Historic District, ,1.56,3.44,2,6.5,1,1006330044,0,75,982407,207226,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,168.0999358,1245.767263,69671,9,0,11720,11722,5,1125,19.46666718,21.88888931,2.422222137,19.9511116,0.968888855,99.75555801 +11722,MN,143,14,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,183 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D2,3,0,P,"183 DUANE, LLC",1020,4426,1000,3426,0,1000,0,0,0,0,2,1,5,5,7,20.08,50.58,20,50, ,3,Y,5,2,127896,386144,0,0,1920,1984,0,Tribeca West Historic District, ,4.34,6.02,6,6.5,1,1001430014,0,39,981422,200704,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,150.9703244,1173.395836,258248,14,0,11721,11723,6,1350,16.87599945,16.87599945,0,16.87599945,0,101.2559967 +11723,MN,605,29,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,491 HUDSON STREET,R6, , , , , , , , , ,N,B1,1,0, ,THE BOARD OF MANAGERS,1440,2160,0,2160,0,0,0,0,0,0,2,1,3,2,2,20,72,20,36, ,2,N,5,2,28614,107827,0,0,1899,0,0,Greenwich Village Historic District, ,1.5,2.43,0,4.8,1,1006050029,0,69,982378,206227,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,195.259809,1590.915547,79213,9,0,11722,11724,10,2250,19.59111023,21.32666588,1.735555649,20.41811066,0.578060583,204.1811066 +11724,MN,187,7502,101,39,4003,2,1,10013,E007,1,15,7700,3,1, ,64 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4400,21929,4733,17196,0,4733,0,0,0,0,2,1,5,8,10,0.1,0,0,0, ,0,N,0,5,125800,1247537,7080,7080,1910,0,0,Tribeca West Historic District, ,4.98,6.02,6,6.5,1,1001877502,883,39,981590,201532,12a, ,11S 037,10105, ,1001870019,12/10/1994,1, , ,17V1.1,7,280.2041949,4524.876315,1121740,14,0,11723,11725,19,4275,16.4533329,17.89999962,1.446666718,17.82385927,0.323036162,338.653326 +11725,MN,439,8,103,34,3000,1,2,10009,L011,9,14,6200,1,3,4B,196 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,JOSE A FERNANDEZ,1978,9517,1904,7613,0,1904,0,0,0,0,2,1,5,8,9,28.25,70,28,70,E,3,N,3,0,108360,361146,0,0,1900,1987,2008, , ,4.81,4,0,4,1,1004390008,0,34,988863,205165,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,207.4211032,2221.253441,252786,12,0,11724,11726,9,2025,21.68444443,22.46555519,0.781110764,21.88441955,0.27640158,196.9597759 +11726,MN,874,7503,106,50,2000,2,2,10003,E005,13,14,5300,1,6, ,136 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,R1,2,0, , ,4331,12158,0,12158,0,0,0,0,0,0,2,1,5,5,5,47.08,92,0,0, ,0,N,5,5,120389,1690030,0,0,1852,0,0,Gramercy Park Historic District, ,2.81,4,0,4,1,1008747503,1115,50,988196,207601,12c, ,102 046,10307, ,1008740051,3/24/2000,1, , ,17V1.1,7,289.8268641,4618.265775,1569640,5,0,11725,11727,21,4725,27.68333435,29.13333321,1.449998856,27.91135525,0.48870331,586.1384602 +11727,MN,525,33,102,65,4001,2,1,10012,L009,6,15,5700,1,2,2A,166 THOMPSON STREET,R7-2, , , , , , , , , ,N,C3,2,0, ,106 PROPERTY LLC,1160,2289,0,2289,0,0,0,0,0,0,2,1,3,4,4,18.17,75,18,42,E,3,Y,5,5,143488,241339,0,0,1900,0,0,South Village Historic District, ,1.97,3.44,0,6.5,1,1005250033,0,65,984193,204328,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,191.0959142,1231.461907,97851,9,0,11726,11728,6,1350,23.62666702,23.62666702,0,23.62666702,0,141.7600021 +11728,MN,56,4,101,13,1004,2,1,10006,E010,1,15,7700,1,1, ,90 WEST STREET,C6-9, , , , , ,LM, , , ,N,D5,3,0,P,B.C.R.E. - 90 WEST ST,16980,357001,2000,355000,2000,0,0,0,0,0,2,1,24,410,411,158.67,119.75,158.67,119.75, ,0,Y,3,2,4500000,42070050,0,11502000,1908,2004,0, ,WEST STREET BUILDING,21.02,10,15,15,1,1000560004,0,13,980297,197946,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,581.8085729,18654.58492,37570000,15,1,11727,11729,83,18675,7.869999886,7.869999886,0,7.869999886,0,653.2099905 +11729,MN,487,10,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,379 WEST BROADWAY,M1-5A, , , , , , , , , ,N,O5,5,0, ,CLDN NY LLC,11004,55120,55120,0,44096,11024,0,0,0,0,2,1,5,0,13,55,200.08,55,200, ,3,N,4,2,2475000,14280750,0,0,1853,1987,2013,SoHo-Cast Iron Historic District, ,5.01,0,5,6.5,1,1004870010,0,47,983646,202890,12a, ,101N069,10206, ,0, ,1,1, ,17V1.1,0,521.704055,11356.03255,11805800,0,1,11728,11730,51,11475,11.66266632,13.42399979,1.761333466,13.38946384,0.244206047,682.8626556 +11730,MN,310,14,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,343 GRAND STREET,C6-2, , , , , , , , , ,N,S2,4,0, ,BARON OPERATING CORP,1644,3850,1606,2244,0,1121,0,0,0,485,2,1,3,2,3,21.92,75,21.92,51,E,0,N,5,5,23776,51145,0,0,1901,2011,0, , ,2.34,6.02,6,6.5,1,1003100014,0,16,987062,200401,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,201.9238343,1773.101275,27369,13,0,11729,11731,8,1800,34.98799896,36.4102211,1.422222137,35.16577673,0.470355761,281.3262138 +11731,MN,446,5,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,80 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S5,4,0, ,80 2ND AVENUE OWNERS,2466,8727,2182,6545,0,2182,0,0,0,0,2,1,5,5,6,24,100,24,90,E,3,N,5,5,86125,269224,0,0,1940,1979,0,East Village/Lower East Side Historic Di, ,3.54,4,0,4,1,1004460005,0,38,987332,203920,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,258.5055242,2606.350651,183099,1,0,11730,11732,11,2475,32.62111282,36.49666595,3.875553131,33.09293053,1.140133068,364.0222359 +11732,MN,607,49,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,107 WEST 11 STREET,C1-6,R6, , , , , , , , ,Y,C2,2,0,P,"ROSENBLUM, BERNICE",1665,9545,0,9545,0,0,0,0,0,0,2,1,4,6,6,22,103.25,22,94, ,3,N,5,5,158783,474375,0,0,1915,1986,0,Greenwich Village Historic District, ,5.73,3.44,2,6.5,1,1006070049,0,71,984643,207339,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,250.5998211,2235.049199,315592,8,0,11731,11733,10,2250,21.80333328,22.04777718,0.244443893,21.83399982,0.073634209,218.3399982 +11733,MN,558,47,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,113 EAST 12 STREET,C6-2A, , , , , , , , , ,N,S4,4,0, ,222 WEST 37TH STREET,2663,8317,1828,6489,0,1828,0,0,0,0,2,1,4,4,5,25,106.5,25,98,E,3,N,5,5,48226,401302,0,0,1900,2009,0, , ,3.12,6.02,6,6.5,1,1005580047,0,42,987256,206198,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,267.899579,2799.931298,353076,12,0,11732,11734,12,2700,38.19900131,38.19900131,0,38.19900131,0,458.3880157 +11734,MN,619,69,102,73,4001,2,3,10014,L005,6,15,6400,1,2,2K,228 WEST 4 STREET,C4-5,R6, , , , , , , , ,Y,C7,4,0,P,228 W 4 OWNERS CORP,2676,10437,2340,8097,0,2340,0,0,0,0,2,1,5,16,17,26.5,101,26.5,90, ,0,N,5,2,540000,1806750,0,0,1905,0,0,Greenwich Village Historic District, ,3.9,3.44,3.4,6.5,1,1006190069,0,73,983371,206708,12a, ,103 017,10210, ,0, ,1, , ,17V1.1,0,257.24469,2713.720174,1266750,9,0,11733,11735,12,2700,23.46111107,24.51933289,1.058221817,23.54929622,0.292477059,282.5915546 +11735,MN,345,35,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,188 STANTON STREET,R7A, , , , , , , , , ,N,K2,5,0,P,RIVINGTON MUSIC CORP.,1715,4973,4973,0,0,4973,0,0,0,0,2,1,2,0,1,24.5,70,25,70, ,3,N,5,2,175500,984150,0,0,1950,1983,2011, , ,2.9,4,0,4,1,1003450035,0,2201,988863,201613,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,199.7829773,1787.768854,808650,1,0,11734,11736,9,2025,18.41222191,18.41222191,0,18.41222191,0,165.7099972 +11736,MN,378,43,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,393 EAST 8 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,8TH AVE SPANISH,6574,10350,10350,0,0,0,0,0,0,10350,2,1,3,0,1,70,93.92,50,75,G,1,N,5,2,372150,713700,372150,713700,1937,1985,0, , ,1.57,4,0,4,1,1003780043,0,2602,990762,203095,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,332.8273754,6701.091856,341550,12,1,11735,11737,30,6750,7.409999847,12.16666698,4.756667137,8.884033298,1.839475576,266.520999 +11737,MN,228,23,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,55 GRAND STREET,M1-5A, , , , , , , , , ,N,S2,4,0,P,"HARSALAH, GHERAB",1474,4040,1350,2690,0,1350,0,0,0,0,2,1,3,2,3,23,67,22,67,E,3,Y,5,2,109226,228960,3380,3380,1920,0,0,SoHo-Cast Iron Historic District, ,2.74,0,5,6.5,1,1002280023,0,47,983230,202375,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,182.1784309,1519.96317,119734,0,1,11736,11738,8,1800,9.686666489,9.686666489,0,9.686666489,0,77.49333191 +11738,MN,201,11,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,76 MOTT STREET,C6-1G, , , , , , , , , ,N,K4,4,0,P,LEUNG CHUNG HOW REALT,1181,4600,4600,0,2000,2600,0,0,0,0,2,1,4,0,3,25,47.25,25,34, ,3,N,5,1,94950,464850,0,0,1920,2002,2004, , ,3.9,3.44,6,6.5,1,1002010011,0,29,984854,200287,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,148.7808514,1250.95836,369900,14,0,11737,11739,6,1350,33.0379982,35.14777756,2.109779358,33.38962809,0.786268344,200.3377686 +11739,MN,155,1,101,31,1015,2,1,10007,L001,5,15,7700,1,1,3B,2 LAFAYETTE STREET,C6-4, , , , , , , , , ,N,O4,5,0,C,DCAS,16700,354169,354169,0,341769,12400,0,0,0,0,2,1,21,0,1,186.25,54.42,186,54, ,0,Y,3,2,3240000,28640700,3240000,28640700,1927,0,0,African Burial Ground & The Commons Hist, ,21.21,10,10,10,1,1001550001,0,31,983206,199415,12b, ,101S020,10105, ,0, ,1, , ,17V1.1,0,638.0864003,17904.59823,25400700,14,0,11738,11740,80,18000,24.57288933,26.66111183,2.088222504,24.88403757,0.215539866,1990.723005 +11740,MN,176,13,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,33 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0, ,WORTH BROADWAY TRIBEC,1317,6765,1047,5718,0,1047,0,0,0,0,2,1,5,2,3,26.17,50.25,26,50, ,3,Y,3,2,18715,339028,0,0,1915,0,0, , ,5.14,6.02,6,6.5,1,1001760013,0,33,982235,200758,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,158.6664398,1442.590504,320313,14,0,11739,11741,7,1575,12.05333328,14.40400028,2.350667,13.97038119,0.817507111,97.79266834 +11741,MN,172,23,101,31,1007,2,1,10013,L001,5,15,7700,1,1,3B,40 FRANKLIN STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,MANHATTAN REALTY COMP,2120,14840,14840,0,12840,2000,0,0,0,0,2,1,7,0,7,25,80,25,80, ,3,Y,3,2,296100,935550,0,0,1920,0,0, ,AHRENS BUILDING,7,10,10,10,1,1001720023,0,31,983666,200481,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,223.5176583,2385.351261,639450,14,0,11740,11742,10,2250,13.85000038,13.85000038,0,13.85000038,0,138.5000038 +11742,MN,137,25,101,21,2001,2,1,10007,L010,1,15,7700,1,1, ,160 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C6,2,0, ,160 CHAMBERS STREET O,1789,9565,1776,7789,0,1776,0,0,0,0,2,1,4,4,5,24.08,75.08,24,75, ,3,N,5,2,154964,645587,2360,2360,1915,0,0, ,(FORMER) FIREHOUSE ENGINE COMPANY 2,5.35,7.52,6,7.5,1,1001370025,0,21,981375,200067,12a, ,101S015,10104, ,0, ,1, , ,17V1.1,0,210.034967,2055.304347,490623,14,0,11741,11743,10,2250,16.91110992,19.68199921,2.770889282,19.40491028,0.831266785,194.0491028 +11743,MN,385,30,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,250 EAST 3 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,IGLESIA PENTECOASTAL,4671,4865,4865,0,0,0,0,0,0,4865,2,1,3,0,1,47.58,105.92,36,79, ,1,Y,5,2,182700,493200,182700,464839,1920,0,0, , ,1.04,4,0,4,1,1003850030,0,2202,989453,202208,12c, ,102 013,10203,E-216,0, ,1, , ,17V1.1,0,308.3751548,4618.908269,310500,1,0,11742,11744,19,4275,14.97222233,17.13444328,2.162220955,15.35625734,0.749071952,291.7688894 +11744,MN,519,24,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,28 KING STREET,R6, , , , , , , , , ,N,C4,2,0, ,KING ENTERPRISES LTD,2598,11826,0,11826,0,0,0,0,0,0,2,1,6,24,24,25.92,100.25,26,88, ,3,N,5,2,215100,1638000,0,0,1920,1988,0,Charlton-King-Vandam Historic District, ,4.55,2.43,0,4.8,1,1005190024,0,37,983159,204329,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,258.6384011,2687.902648,1422900,9,0,11743,11745,13,2925,16.83888817,17.77000046,0.931112289,16.96897375,0.306917816,220.5966587 +11745,MN,897,71,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,206 EAST 17 STREET,R7B, , , , , , , , , ,N,D3,3,0, ,"206 EAST 17TH REALTY,",4048,15416,0,15416,0,0,0,0,0,0,2,1,6,27,27,44,92,44,78, ,3,N,5,2,317250,2800800,0,0,1910,1975,0,Stuyvesant Square Historic District, ,3.81,3,0,3,1,1008970071,0,48,988302,206984,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,283.5297407,4332.528294,2483550,5,0,11744,11746,20,4500,25.1044445,25.1044445,0,25.1044445,0,502.0888901 +11746,MN,903,3,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,287 3 AVENUE,C2-8A, , , , , , , , , ,N,S5,4,0, ,"TEMPO PROPERTIES, LLC",1575,5468,1338,4130,0,1338,0,0,0,0,2,1,4,6,7,21,75,21,70, ,3,N,5,2,198436,739173,0,0,1910,0,0, , ,3.47,10,2,10,1,1009030003,0,64,988901,208241,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,192.978263,1500.654885,540737,11,0,11745,11747,6,1350,19.86555672,19.86555672,0,19.86555672,0,119.1933403 +11747,MN,624,41,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,300 WEST 12 STREET,R6,C1-6, , , , , , , , ,Y,D9,3,0, ,12TH REALTY ASSOCIATE,8625,34872,0,34872,0,0,0,0,0,0,2,1,6,54,54,56.5,120.33,56,118, ,3,Y,5,2,1251000,4000050,0,0,1920,1987,0,Greenwich Village Historic District, ,4.04,2.43,0,4.8,1,1006240041,0,77,983025,207883,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,478.613193,8923.95256,2749050,8,0,11746,11748,41,9225,20.58111191,21.39666748,0.815555573,20.63680291,0.176746597,846.1089191 +11748,MN,592,14,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,110 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,C0,2,0, ,BRILL MARCIA,1575,2646,0,2646,0,0,0,0,0,0,2,1,3,3,3,21,75,21,42,E,3,N,5,2,41792,170864,0,0,1899,0,0,Greenwich Village Historic District, ,1.68,2.43,0,4.8,1,1005920014,0,71,983919,206120,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,205.7363905,1831.271391,129072,9,0,11747,11749,8,1800,17.50333405,18.51444435,1.011110306,17.62972283,0.334393302,141.0377827 +11749,MN,53,7502,101,13,1015,2,1,10006,E010,1,15,7700, ,1, ,123 WASHINGTON STREET,C6-9, , , , , ,LM, , , ,N,RM,4,0, ,123 WASHINGTON LLC,14217,312633,11118,169352,0,11118,0,0,0,0,2,1,56,223,225,116.33,136,60,110, ,1,Y,0,5,7604928,49930670,0,9813490,2007,0,0, , ,21.99,10,15,15,1,1000537502,2071,13,980448,197643,12b, ,11S 009,10101, ,1000530023,7/7/2010,1,1,1,17V1.1,7,506.6455827,15574.36133,42325700,15,1,11748,11750,69,15525,7.869999886,10.35011101,2.480111122,8.306880744,0.657831574,573.1747713 +11750,MN,558,37,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,131 EAST 12 STREET,C6-2A, , , , , , , , , ,N,H8,8,0,X,NEW SCHOOL SOCIAL RSR,6055,58578,3400,0,0,3400,0,0,0,0,2,1,16,0,1,80,103,80,103.25, ,0,Y,5,2,1935000,6494850,1935000,6494850,1989,1990,0, , ,9.67,6.02,6,6.5,1,1005580037,0,42,987434,206091,12c, ,102 025,10207, ,1005580039,12/31/1988,1, , ,17V1.1,0,396.2028613,6858.393732,4559850,12,0,11749,11751,31,6975,38.19900131,40.39444351,2.1954422,38.93509391,0.876589572,1206.987911 +11751,MN,529,4,102,55.02,2004,2,1,10012,L009,9,15,5700,1,2,2A,650 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,"650 REALTY, INC.",3770,18850,18850,0,17000,1850,0,0,0,0,2,1,5,0,9,29,130,29,130, ,3,N,5,2,255600,2036700,0,0,1900,0,0,NoHo Historic District, ,5,0,5,6.5,1,1005290004,0,5502,985556,204023,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,330.0102471,3944.138304,1781100,9,0,11750,11752,18,4050,39.92944717,39.93700027,0.007553101,39.93658066,0.001730124,718.8584518 +11752,MN,411,72,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,106 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,S9,4,0,P,K.Y.W. ENTERPRISE TRU,1760,6776,3388,3388,0,1694,0,0,0,1694,2,1,3,2,4,22,80,22,77, ,3,N,5,5,76279,187664,0,0,1900,1987,0, , ,3.85,4,4,4,1,1004110072,0,3001,987595,201641,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,208.8509284,1801.785537,111385,13,0,11751,11753,7,1575,30.50799942,30.50799942,0,30.50799942,0,213.5559959 +11753,MN,279,40,103,27,1007,2,1,10038,E009,5,14,7800,1,3,1A,2 HENRY STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,19178,66860,66860,0,0,0,0,0,0,66860,2,1,5,0,0,192.5,103.08,192.5,100,E,0,Y,3,2,1471500,4084650,1471500,4084650,1900,1958,2009, , ,3.49,3.44,0,6.5,1,1002790040,0,27,984949,198878,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,595.7379153,19716.31229,2613150,16,0,11752,11754,88,19800,21.89800072,27.65444374,5.756443024,22.64385668,1.783332083,1992.659388 +11754,MN,528,67,102,67,2002,2,3,10014,E024,6,15,6400,1,2,1B,70 CARMINE STREET,R6,C2-6, , , , , , , , ,Y,C4,2,0, ,C BONNET LLC,1280,5185,0,5185,0,0,0,0,0,0,2,1,5,10,10,21.33,60,21,50, ,3,Y,5,2,72284,216853,0,0,1910,1984,0, , ,4.05,2.43,0,4.8,1,1005280067,0,67,983031,205064,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,172.4063999,1450.212719,144569,9,0,11753,11755,6,1350,15.38333321,15.38333321,0,15.38333321,0,92.29999924 +11755,MN,888,50,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,152 EAST 33 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"KNOTT, ERNIE",469,1875,450,1425,0,450,0,0,0,0,2,1,3.5,4,5,18.75,25,18.75,25, ,3,N,5,5,36290,234516,0,0,1910,1982,0, , ,4,4,0,4,1,1008880050,0,72,989924,210814,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,91.9111245,508.1616601,198226,10,0,11754,11756,3,675,24.35555458,29.45444298,5.098888397,26.05518405,2.403639041,78.16555214 +11756,MN,562,28,102,61,2001,2,2,10003,E033,6,15,5700,1,2,3A,793 BROADWAY,C6-1, , , , , , , , , ,N,K2,5,0, ,"B & M 793 REALTY,",2083,4320,4320,0,2000,2320,0,0,0,0,2,1,2,0,1,25,91.25,25,80, ,3,Y,5,2,230850,910350,0,0,1930,0,0, , ,2.07,3.44,6,6.5,1,1005620028,0,61,986565,206017,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,233.8836658,2231.558454,679500,8,0,11755,11757,11,2475,34.39444351,34.39444351,0,34.39444351,0,378.3388786 +11757,MN,832,43,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,290 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O5,5,0,P,MARCOLVA NV,3010,15422,15422,0,12922,2500,0,0,0,0,2,1,6,0,6,24.67,125,25,121,E,3,N,5,2,738000,1651050,0,0,1900,0,0, , ,5.12,10,10,10,1,1008320043,0,76,987976,211192,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,301.7358089,3100.116651,913050,10,0,11756,11758,14,3150,41.02666855,41.02666855,0,41.02666855,0,574.3733597 +11758,MN,517,30,102,49,3001,2,3,10012,L020,1,15,6800,1,2,1A,139 THOMPSON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,139 THOMPSON STREET L,2467,9451,755,8696,0,755,0,0,0,0,2,1,5,19,20,24.67,100,25,74, ,3,N,5,2,86400,1259550,0,0,1900,1987,0,Sullivan-Thompson Historic District, ,3.83,3.44,0,6.5,1,1005170030,0,49,983868,204058,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,254.175751,2544.41493,1173150,9,0,11757,11759,12,2700,17.9011116,22.28111076,4.379999161,19.40518538,1.8003621,232.8622246 +11759,MN,377,5,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,118 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,HERMAN REALTY LLC,1266,3818,800,3018,0,800,0,0,0,0,2,1,4,3,4,18.08,70,18,58,E,3,N,5,5,3711,25325,0,0,1900,0,0, , ,3.02,4,0,4,1,1003770005,0,2602,990251,203183,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,182.0550328,1269.657472,21614,12,1,11758,11760,6,1350,7.409999847,9.473333359,2.063333511,7.753888766,0.768958999,46.5233326 +11760,MN,345,24,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,153 RIDGE STREET,R7A, , , , , , , , , ,N,C7,4,0, ,SIDE KICKS RIDGE ASSO,2500,7000,500,6500,0,500,0,0,0,0,2,1,5,10,11,25,100,25,54, ,3,N,5,1,90000,632700,0,0,1900,1988,0, , ,2.8,4,0,4,1,1003450024,0,2201,989025,201716,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,255.1734468,2621.114202,542700,1,0,11759,11761,10,2250,18.41222191,18.41222191,0,18.41222191,0,184.1222191 +11761,MN,448,16,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,64 EAST 7 STREET,R8B, , , , , , , , , ,N,A4,1,0,P,"FOX, LISA J",2271,5299,0,4049,0,0,0,0,0,0,2,1,4,1,1,25,90.83,25,50, ,0,N,5,1,21336,88738,0,0,1899,2009,0,East Village/Lower East Side Historic Di, ,2.33,4,0,4,1,1004480016,0,38,987823,204261,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,239.150311,2306.622379,67402,12,0,11760,11762,12,2700,27.1590004,30.68666649,3.527666092,27.98312044,1.096175787,335.7974453 +11762,MN,378,9,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,140 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,9C REALTY ASSOCIATES,3320,16444,3200,13244,2000,1200,0,0,0,0,2,1,6,25,30,40,83,40,81,E,2,N,3,2,526500,2271600,0,0,1920,0,0, , ,4.95,4,0,4,1,1003780009,0,2602,990399,203439,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,253.8025609,3643.735788,1745100,12,1,11761,11763,16,3600,7.409999847,8.186666489,0.776666641,7.561111003,0.276029862,120.9777761 +11763,MN,913,19,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,237 EAST 32 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"SANTORO, NICOLETTA",1761,3456,0,2592,0,0,0,0,0,0,2,1,3,2,2,17.83,98.75,17.83,48, ,3,N,5,1,74327,149299,0,0,1899,0,0, , ,1.96,4,0,4,1,1009130019,0,70,990477,210349,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,228.703215,1767.763501,74972,10,0,11762,11764,7,1575,22.14666748,22.72100067,0.574333191,22.63895307,0.200974751,158.4726715 +11764,MN,622,71,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,387 1/2 BLEECKER STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,CHARLES H. PARDOE II,832,2508,0,2508,0,0,0,0,0,0,2,1,4,1,1,19,54.17,19.06,33.08, ,3,Y,5,2,34382,145848,0,0,1899,2005,0,Greenwich Village Historic District, ,3.01,3.44,2,6.5,1,1006220071,0,73,982911,207249,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,146.2823882,957.0890615,111466,8,0,11763,11765,5,1125,24.5988884,26.47966576,1.880777359,24.97504387,0.752310944,124.8752193 +11765,MN,465,11,103,40,3002,1,2,10003,E033,9,14,6200,1,3,4B,108 EAST 10 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"108 BROTHERS, LLC",1311,4136,0,4136,0,0,0,0,0,0,2,1,4,2,2,22,48,22,45, ,3,Y,5,1,46700,105062,0,0,1899,0,0,St. Mark's Historic District, ,3.15,4,0,4,1,1004650011,0,40,987424,205352,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,169.6548999,1415.137495,58362,12,0,11764,11766,8,1800,33.48777771,36.54222107,3.054443359,33.86958313,1.01016219,270.956665 +11766,MN,851,7504,105,56,2001,2,2,10010,E014,13,15,5700,1,5, ,29 EAST 22 STREET,C6-4M, , , , , , , , , ,N,RM,4,0, , ,5135,56343,5519,50824,0,5519,0,0,0,0,2,1,12,20,21,52,98.75,52,90,E,3,N,5,5,783000,7745400,30680,30680,1907,1979,0, , ,10.97,10,10,10,1,1008517504,1850,56,987624,208938,8d, ,104 003,10306, ,1008510026,10/21/2008,1, , ,17V1.1,7,315.1096798,5507.178671,6962400,11,0,11765,11767,23,5175,32.49111176,32.49111176,0,32.49111176,0,747.2955704 +11767,MN,627,20,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,51 HORATIO STREET,R6, , , , , , , , , ,N,A4,1,0, ,"BROWN, CELESTE",936,2710,0,2168,0,0,0,0,0,0,2,1,4,1,1,16,58.5,16,42, ,2,N,5,1,44951,162397,0,0,1899,2015,0,Greenwich Village Historic District, ,2.9,2.43,0,4.8,1,1006270020,0,79,982570,208479,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,149.608759,915.5117835,117446,8,0,11766,11768,4,900,14.72666645,14.72666645,0,14.72666645,0,58.9066658 +11768,MN,722,76,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,254 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S3,4,0, ,"VISO, LLC",1382,4011,950,3061,0,950,0,0,0,0,2,1,4,3,4,19.75,70,19.75,48, ,0,Y,5,5,64002,164161,0,0,1910,0,0, , ,2.9,3,0,3,1,1007220076,0,93,983388,212038,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,183.8434711,1400.509827,100159,2,1,11767,11769,7,1575,10.68099976,11.59666634,0.91566658,10.84987273,0.318436188,75.94910908 +11769,MN,461,7501,103,38,2000,1,2,10003,E028,9,14,6500,3,3, ,236 EAST 6 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,VILLA EAST CONDOMINIU,2449,8296,0,8296,0,0,0,0,0,0,2,1,5,10,10,25,97,0,0, ,0,N,5,5,59514,589664,14160,14160,1920,0,0,East Village/Lower East Side Historic Di, ,3.39,4,0,4,1,1004617501,418,38,987241,204304,12c, ,102 018,10205, ,1004610026,12/9/1987,1, , ,17V1.1,7,251.3542789,2469.824471,530150,1,0,11768,11770,11,2475,36.55199814,38.08222198,1.530223846,36.81104903,0.523595937,404.9215393 +11770,MN,642,47,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,84 HORATIO STREET,R6, , , , , , , , , ,N,C6,2,0,P,THE CITY OF NEW YORK,2185,8125,0,8125,0,0,0,0,0,0,2,1,5,20,20,25,87.42,25,64, ,3,N,5,2,202500,948600,4425,4425,1915,0,0,Greenwich Village Historic District, ,3.72,2.43,0,4.8,1,1006420047,0,79,982184,208359,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,226.7940818,2178.620175,746100,8,1,11769,11771,12,2700,10.79777813,16.08333397,5.28555584,11.64472254,1.895653624,139.7366705 +11771,MN,163,26,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,57 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,57 BAYARD ST REALTYCO,2405,9217,2000,7217,0,2000,0,0,0,0,2,1,5,16,17,24.25,99.33,24,99, ,3,Y,5,2,216000,510300,0,0,1911,1995,0, , ,3.83,3.44,6,6.5,1,1001630026,0,29,984839,199839,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,251.6415416,2420.162532,294300,14,0,11770,11772,12,2700,33.5909996,33.5909996,0,33.5909996,0,403.0919952 +11772,MN,438,52,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,251 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,E. 10TH ST. HOLDINGS,2369,9015,0,9015,0,0,0,0,0,0,2,1,5,10,10,25,94.75,25,72,E,3,N,5,2,47134,188243,0,0,1900,0,0, , ,3.81,4,0,4,1,1004380052,0,34,988756,204770,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,247.7120691,2406.966772,141109,12,0,11771,11773,11,2475,17.98900032,19.24777794,1.258777618,18.29254584,0.429805176,201.2180042 +11773,MN,630,48,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,501 HUDSON STREET,C1-6, , , , , , , , , ,N,K4,4,0, ,SOSO EQUITIES LLC,2775,5570,3570,2000,795,2775,0,0,0,0,2,1,2,2,6,26.58,74.92,26.58,74.92, ,1,Y,3,2,549000,2037600,0,0,1923,1988,0,Greenwich Village Historic District, ,2.01,3.44,2,6.5,1,1006300048,0,75,982393,206378,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,222.5450145,2667.854779,1488600,9,0,11772,11774,12,2700,18.16222191,18.16222191,0,18.16222191,0,217.9466629 +11774,MN,923,21,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,333 EAST 17 STREET,R8A, , , , , , , , , ,N,I4,8,0, ,STUYVESANT SQUARE APA,2131,6129,1532,4597,1532,0,0,0,0,0,2,1,4,12,14,23.17,92,23.17,55,E,2,N,5,2,243900,579600,0,0,1910,1987,0, , ,2.88,6,0,6,1,1009230021,0,48,989214,206649,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,244.9069483,2435.195399,335700,5,0,11773,11775,11,2475,16.06999969,17.16444397,1.094444275,16.26707042,0.418074373,178.9377747 +11775,MN,680,1,104,99,1003,2,3,10001,E034,10,15,5500,1,4,2B,360 WEST STREET,M2-3, , , , , , , , , ,N,P9,8,4,P,NEW YORK CONVENTION C,962250,3460596,3460596,0,0,0,0,1757298,0,1703298,2,4,4,0,1,1227.5,800,1227.5,389, ,0,Y,5,5,239244750,642073500,239244750,642073500,1963,2013,0, , ,3.6,0,2,0,1,1006800001,0,99,983614,215419,8b,Y,105S025,10301, ,0, ,1,1,1,17V1.1,0,4062.01853,966899.909,402828992,6,1,11774,11776,674,151650,6.816666603,34.32333374,27.50666714,10.56006076,5.451899937,7117.480951 +11776,MN,399,38,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,38 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"199 EAST 3RD STREET,",1923,10398,1000,9398,0,1000,0,0,0,0,2,1,6,10,15,24,80,24,80, ,2,Y,3,2,135000,1122300,0,0,1900,1988,0, , ,5.41,4,0,4,1,1003990038,0,32,988933,202633,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,213.969639,2115.702355,987300,1,0,11775,11777,9,2025,18.04222298,18.04222298,0,18.04222298,0,162.3800068 +11777,MN,833,40,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,304 5 AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,THE DEVELOPMENT GROUP,2000,25480,17640,7840,17640,0,0,0,0,0,2,1,13,1,9,20,100,20,98, ,3,N,5,0,602550,2757600,0,0,2010,2009,0, , ,12.74,10,10,10,1,1008330040,0,76,988090,211369,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,242.6053792,2066.844355,2155050,10,0,11776,11778,9,2025,41.76111221,41.76111221,0,41.76111221,0,375.8500099 +11778,MN,545,15,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,726 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,NEW YORK UNIVERSITY,35140,336645,336645,0,302067,34578,0,0,0,0,2,1,10,0,8,120.83,275,120.83,275, ,2,Y,4,2,4275000,38335050,4275000,38335050,1917,1982,0,NoHo Historic District, ,9.58,0,5,6.5,1,1005450015,0,57,986228,204919,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,860.8025972,36128.84511,34060000,9,0,11777,11779,161,36225,38.29555511,41.8453331,3.549777985,38.35354546,0.424836579,6174.920818 +11779,MN,470,61,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,130 BOWERY,C6-2G,C6-1G, , , , ,LI, , , ,Y,K2,5,0, ,130 BOWERY AQUISITION,15002,32700,32700,0,0,32700,0,0,0,0,2,1,2,0,1,50,201,50,198, ,3,Y,3,2,1687500,7662600,0,0,1895,2002,0, ,BOWERY SAVINGS BANK,2.18,6.02,6,6.5,1,1004700061,0,41,985525,201200,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,623.0066197,16046.62122,5975100,0,0,11778,11780,71,15975,31.67711258,32.29444504,0.617332458,31.69078703,0.083313703,2250.045879 +11780,MN,606,46,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,130 WEST 11 STREET,R6, , , , , , , , , ,N,C4,2,0, ,"WAC 11, LLC",2860,5992,0,5992,0,0,0,0,0,0,2,1,4,7,7,22.5,129.58,23,70, ,3,N,5,2,131611,490100,0,0,1920,0,0,Greenwich Village Historic District, ,2.1,2.43,0,4.8,1,1006060046,0,71,984325,207312,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,313.0360859,3026.558315,358489,8,0,11779,11781,14,3150,22.88666725,24.53111076,1.644443512,23.05411897,0.426368778,322.7576656 +11781,MN,595,76,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,508 GREENWICH STREET,C6-2A, , , , , , , , , ,N,S3,4,0,P,508 GREENWICH LLC,2000,5800,2000,3800,0,2000,0,0,0,0,2,1,4,3,4,25,80,25,80, ,3,N,5,5,30666,207105,0,0,1900,2005,0, , ,2.9,6.02,6,6.5,1,1005950076,0,37,981644,203676,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,215.6681165,2060.687158,176439,0,1,11780,11782,11,2475,8.821000099,8.991999626,0.170999527,8.849060665,0.059948167,97.33966732 +11782,MN,886,27,106,72,4000,2,2,10016,L007,17,14,5300,1,6,2A,167 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,O8,5,0, ,LEXCO INC,2194,6664,4250,2414,4250,0,0,0,0,0,2,1,4,3,6,21.92,100,21.92,100,E,3,N,5,2,225000,813600,0,0,1920,2000,2006, , ,3.04,6.02,6,6.5,1,1008860027,0,72,989486,210345,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,249.3792513,2238.233532,588600,10,0,11781,11783,11,2475,28.17889023,29.79111099,1.612220764,28.32545575,0.463480882,311.5800133 +11783,MN,398,53,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,170 EAST 2 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,VILLAGE KF 2 ASSOCIAT,4452,17664,600,17064,0,600,0,0,0,0,2,1,6,36,39,42,106,42,90, ,3,N,5,2,315000,1503900,0,0,1900,2013,0, , ,3.97,4,0,4,1,1003980053,0,3002,988506,202605,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,304.5334097,4688.067157,1188900,1,0,11782,11784,20,4500,19.43000031,19.43000031,0,19.43000031,0,388.6000061 +11784,MN,443,41,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,68 EAST 1 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,68 EAST REALTY LLC,3181,13951,1000,12950,0,1000,0,0,0,0,2,1,7,24,25,25,128.58,25,112, ,3,Y,5,0,245250,1836450,0,0,1920,0,0, , ,4.39,4,0,4,1,1004430041,0,3602,987352,202946,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,310.4603043,3315.925919,1591200,1,0,11783,11785,14,3150,31.19000053,31.53899956,0.348999023,31.21492904,0.089880991,437.0090065 +11785,MN,166,27,101,29,1004,2,1,10013,L001,5,15,7700,1,1,3B,80 CENTRE STREET,C6-4, , , , , , , , , ,N,O3,5,0,O,NEW YORK COUNTY COURT,71104,640000,640000,0,640000,0,0,0,0,0,2,1,9,0,9,182.5,456.17,182,456, ,0,Y,3,2,8235000,49139100,8235000,49139100,1929,0,0, , ,9,10,10,10,1,1001660027,0,29,983921,199805,12b,Y,101S031,10105, ,0, ,1, , ,17V1.1,0,1200.86759,71557.11926,40904100,14,0,11784,11786,319,71775,15.05333328,20.70555496,5.65222168,16.734951,0.708753813,5338.449368 +11786,MN,612,7502,102,73,6001,2,3,10014,Q018,6,15,6400,2,2, ,25 CHARLES STREET,C2-6, , , , , , , , , ,N,RM,4,0, ,25 CHARLES ST OWNERS,5680,878,878,0,0,252,0,626,0,0,2,1,6,30,31,53.58,95,0,0, ,0,Y,5,5,378000,1968750,4720,4720,1910,1910,0,Greenwich Village Historic District, ,0.15,3.44,2,6.5,1,1006127502,626,73,983623,207138,12a, ,103 015,10209, ,1006120030,8/26/1989,1, , ,17V1.1,7,314.595959,5943.842327,1590750,8,0,11785,11787,27,6075,24.50222206,24.50222206,0,24.50222206,0,661.5599957 +11787,MN,386,14,103,26.01,2001,1,2,10009,E028,9,14,6700,1,3,3A,256 EAST 4 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,EMMANUEL SPNSH BAPT C,2382,6575,6575,0,0,0,0,0,0,6575,2,1,3,0,1,24.75,96.17,25,96,E,2,N,5,2,110700,313650,110700,313650,1900,0,0, , ,2.76,4,0,4,1,1003860014,0,2601,989239,202618,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,247.327007,2446.084854,202950,1,0,11786,11788,11,2475,14.43666649,16.98999977,2.553333282,14.80090887,0.80748148,162.8099976 +11788,MN,769,34,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,152 7 AVENUE,C6-3A, , , , , , , , , ,N,C7,4,0, ,152 SEVENTH AVENUE RE,1840,7360,1840,5520,0,1840,0,0,0,0,2,1,4,11,13,23,80,23,80, ,0,N,5,2,189450,967950,0,0,1901,0,0, , ,4,7.52,6,7.5,1,1007690034,0,87,984901,209557,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,210.8751801,2023.095006,778500,7,0,11787,11789,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +11789,MN,274,1,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,47 MONROE STREET,R7-2, , , , , , , , , ,N,L8,6,0, ,47 MONROE REALTY LLC,2500,12166,12166,0,2291,2375,0,7500,0,0,2,1,5,0,7,25,100,25,95, ,3,N,5,2,88650,1350450,0,0,1900,1988,0, , ,4.87,3.44,0,6.5,1,1002740001,0,8,985962,198622,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,254.998096,2523.376718,1261800,16,0,11788,11790,13,2925,24.63366699,32.53666687,7.902999878,25.24159006,2.10590728,328.1406708 +11790,MN,572,69,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,51 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,SANDY REALTY.,2348,9490,1700,7790,0,1700,0,0,0,0,2,1,5,16,17,25,93.92,25,74, ,3,N,5,2,186750,1136700,0,0,1900,1986,0,Greenwich Village Historic District, ,4.04,3.44,3.4,6.5,1,1005720069,0,63,984636,206488,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,244.1756098,2377.75988,949950,8,0,11789,11791,11,2475,18.70499992,20.59111023,1.886110306,18.97611098,0.567630493,208.7372208 +11791,MN,389,50,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,621 EAST 6 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,621-23 EAST 6TH HDFC,2271,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,55, ,3,N,5,2,37428,166028,37428,64648,1920,1986,0, , ,3.08,4,0,4,1,1003890050,0,2602,989691,203119,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,242.6787462,2464.275208,128600,1,1,11790,11792,12,2700,8.880000114,10.76777744,1.887777328,9.554879427,0.636748342,114.6585531 +11792,MN,765,21,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,227 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,227 MANAGEMENT CO INC,2581,10065,0,10065,0,0,0,0,0,0,2,1,5,18,18,25,103.25,25,92, ,3,N,5,2,128250,844200,0,0,1901,0,0, , ,3.9,4,0,4,1,1007650021,0,81,984188,208855,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,259.5852779,2574.59263,715950,7,0,11791,11793,12,2700,22.05333328,25.7266674,3.673334122,22.48972225,1.066621272,269.876667 +11793,MN,910,4,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,421 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,K4,4,0, ,MARION AVE.,2716,6888,3534,3354,1677,1857,0,0,0,0,2,1,4,6,7,24.67,110,25,100,E,3,N,5,2,315000,904500,0,0,1910,0,0, , ,2.54,10,2,10,1,1009100004,0,70,989824,209874,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,277.4761075,2834.309966,589500,10,0,11792,11794,13,2925,34.88199997,36.58666611,1.704666138,35.01312813,0.454241286,455.1706657 +11794,MN,793,30,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,109 WEST 17 STREET,C6-2A, , , , , , , , , ,N,L8,6,0, ,109 WEST 17TH STREET,2300,6450,6450,0,0,1000,0,5450,0,0,2,1,3,0,3,25,92,25,85, ,3,N,5,0,333000,875700,0,0,1920,0,0, , ,2.8,6.02,6,6.5,1,1007930030,0,81,985383,208769,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,245.8591013,2508.036688,542700,7,0,11793,11795,12,2700,27.66555595,30.56999969,2.904443741,27.90759293,0.802745843,334.8911152 +11795,MN,481,22,102,41,6001,2,1,10012,E055,5,15,6800,1,2,1G,48 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0,P,WAH KOK REALTY CORP,2411,12025,1500,10525,0,1500,0,0,0,0,2,1,5,16,18,25,93.58,25,92, ,3,Y,3,2,355500,3197250,0,0,1900,0,0, , ,4.99,6.02,6,6.5,1,1004810022,0,41,985232,202251,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,254.1079252,2662.750942,2841750,0,0,11794,11796,11,2475,35.01599884,37.99888611,2.982887268,35.6384638,1.135606845,392.0231018 +11796,MN,742,48,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,316 WEST 19 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,170 HARMEN REALTY LLC,2392,9600,0,9600,0,0,0,0,0,0,2,1,5,12,12,26,92,26,80, ,3,N,5,2,125550,634500,0,0,1900,1986,0, , ,4.01,3,0,3,1,1007420048,0,89,983907,209973,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,239.9940598,2467.884617,508950,7,0,11795,11797,12,2700,15.59444427,15.59444427,0,15.59444427,0,187.1333313 +11797,MN,624,44,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,290 WEST 12 STREET,R6,C1-6, , , , , , , , ,Y,D1,3,0, ,290 W12 LLC,5880,26694,0,26694,0,0,0,0,0,0,2,1,6,44,44,50.42,120.33,50,104, ,3,Y,5,2,386550,1615500,0,0,1965,1988,0,Greenwich Village Historic District, ,4.54,2.43,0,4.8,1,1006240044,0,77,983087,207898,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,344.1888715,6198.047514,1228950,8,0,11796,11798,29,6525,20.58111191,21.91333389,1.332221985,20.7253608,0.371768094,601.0354633 +11798,MN,885,90,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,437 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,S9,4,0, ,VICHAM REAL ESTATE CO,1185,3712,1737,1975,0,749,0,0,0,988,2,1,4,4,6,19.75,60,20,48, ,3,N,5,5,88184,395952,0,0,1910,0,0, , ,3.13,10,10,10,1,1008850090,0,72,988941,210433,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,160.7677842,1223.028485,307768,10,0,11797,11799,5,1125,32.84000015,32.84000015,0,32.84000015,0,164.2000008 +11799,MN,398,35,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,24 AVENUE B,R7A,R8B, , ,C1-5, , , , , ,Y,D6,4,0,P,194 EAST SECOND STREE,15011,77000,11000,66000,0,11000,0,0,0,0,2,1,6,61,64,91.25,152.75,92,101, ,0,Y,3,2,1800000,11666700,0,0,1997,0,0, , ,5.13,4,0,4,1,1003980035,0,3002,988783,202447,12c, ,102 012,10203, ,1003980035,12/22/1998,1, , ,17V1.1,0,529.648209,15680.35924,9866700,1,0,11798,11800,69,15525,19.43000031,23.42777824,3.997777939,20.04057995,1.322465691,1382.800016 +11800,MN,29,25,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,83 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,F.W.P. REALTY CORP.,1685,8660,5070,3590,0,5070,0,0,0,0,2,1,4,2,4,24.83,73.17,21.11,73, ,3,Y,4,2,256500,996750,0,0,1900,0,0,Stone Street Historic District, ,5.14,10,15,15,1,1000290025,0,9,981401,195827,12b, ,101S002,10101, ,1000290025,12/5/1990,1, , ,17V1.1,0,194.947984,1706.406565,740250,17,1,11799,11801,7,1575,11.55000019,11.91888905,0.368888855,11.6026986,0.12908421,81.21889019 +11801,MN,614,48,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,245 WAVERLY PLACE,R6,C1-6, , , , , , , , ,Y,B1,1,0, ,"THOMPSON, WILLIAM C",1100,2896,0,2160,0,0,0,0,0,0,2,1,3,2,2,16.67,66,16.67,46, ,3,N,5,1,58261,139345,0,0,1899,0,0,Greenwich Village Historic District, ,2.63,2.43,0,4.8,1,1006140048,0,77,983732,207712,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,169.3479957,1113.816744,81084,8,0,11800,11802,6,1350,25.32666588,25.32666588,0,25.32666588,0,151.9599953 +11802,MN,276,48,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,82 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,MADISON STREET PARTNE,2564,11004,1250,9754,0,1250,0,0,0,0,2,1,6,16,17,25.5,100.75,26,86, ,3,Y,5,2,114750,613800,0,0,1900,0,0, , ,4.29,3.44,0,6.5,1,1002760048,0,8,985269,198649,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,261.2694519,2751.722932,499050,16,0,11801,11803,11,2475,15.30666637,17.19777679,1.89111042,16.42444394,0.41364915,180.6688833 +11803,MN,163,5,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,18 PELL STREET,C6-1, , , , , , , , , ,N,C4,2,0,P,LEONG YU REALTY CORP,2112,9750,2925,6825,975,1950,0,0,0,0,2,1,5,7,10,24.67,88,25,78, ,0,Y,5,5,151550,683354,0,0,1920,0,0, , ,4.62,3.44,6,6.5,1,1001630005,0,29,984826,199755,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,225.281024,2047.062793,531804,14,0,11802,11804,9,2025,33.5909996,33.5909996,0,33.5909996,0,302.3189964 +11804,MN,392,35,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,151 AVENUE C,R7A, , , ,C1-5, , , , , ,N,K2,5,0, ,151 AVE C HOLDINGS LL,1909,3957,3957,0,0,3957,0,0,0,0,2,1,2,0,2,0,0,23,83, ,3,N,5,0,43200,356400,0,0,1910,2007,2014, , ,2.07,4,0,4,1,1003920035,0,28,990337,203653,12c, ,102 022,10203,E-216,0, ,1,1,1,17V1.1,0,215.7061231,1917.063988,313200,12,1,11803,11805,8,1800,7.576999664,9.300000191,1.723000526,7.79237473,0.569828863,62.33899784 +11805,MN,137,5,101,21,2001,2,1,10007,L010,1,15,7700,1,1,1A,80 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,D4,3,0, ,WARREN ST TENANTS COR,12392,70000,8053,61947,0,8053,0,0,0,0,2,1,6,29,30,123.92,100,124,96, ,2,N,5,2,886500,6517800,75090,75090,1915,1986,0, , ,5.65,7.52,6,7.5,1,1001370005,0,21,981430,199928,12b,Y,101S015,10104, ,0, ,1, , ,17V1.1,0,453.6535984,12754.80347,5631300,3,0,11804,11806,56,12600,19.26133347,19.68199921,0.420665741,19.66973731,0.065369312,1101.505289 +11806,MN,501,8,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,427 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D4,3,0, ,431 BROAD W CORP,5000,22150,4500,17650,0,4500,0,0,0,0,2,1,5,4,5,50,100,50,95, ,3,N,5,2,214817,1514745,1635,1635,1920,2009,2009,SoHo-Cast Iron Historic District, ,4.43,0,5,6.5,1,1005010008,0,49,983965,203479,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,304.7116951,5085.212635,1299930,0,0,11805,11807,23,5175,15.00755596,18.50555611,3.498000145,15.30659464,0.969152542,352.0516768 +11807,MN,435,28,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,128 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,D & T NOMINEE CORP,2511,7275,0,7275,0,0,0,0,0,0,2,1,5,20,20,25.75,97.5,26,56, ,3,N,5,2,288000,1308150,0,0,1900,1987,0, , ,2.9,4,0,4,1,1004350028,0,32,988766,204025,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,251.3018261,2527.59404,1020150,12,0,11806,11808,10,2250,18.46888924,20.68000031,2.211111069,18.84944477,0.689584094,188.4944477 +11808,MN,800,7503,104,91,1002,2,3,10011,E001,13,15,5200,2,4, ,141 WEST 24 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,2582,19850,9000,10850,5000,4000,0,0,0,0,2,1,8,4,7,35.58,99.58,36,92, ,0,Y,0,5,243304,1847995,9440,190268,1901,0,0, , ,7.69,0,10,10,1,1008007503,1315,91,985923,210515,8d, ,15S 011,10305, ,1008000016,3/28/2005,1, , ,17V1.1,7,267.188825,3081.07669,1604690,2,0,11807,11809,13,2925,33.27444458,36.97444534,3.700000763,33.88041041,1.308866169,440.4453354 +11809,MN,345,2,103,22.01,1001,1,2,10002,L018,7,14,7600,1,3,2A,152 ATTORNEY STREET,R7A, , , , , , , , , ,N,G1,10,0, ,"MARQUES, MARIO",2500,2500,2500,0,0,0,2500,0,0,0,2,1,1,0,1,25,100,25,95, ,3,N,5,0,112500,240750,0,0,1951,0,0, , ,1,4,0,4,1,1003450002,0,2201,988903,201684,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,253.1504676,2503.428647,128250,1,0,11808,11810,11,2475,18.41222191,18.41222191,0,18.41222191,0,202.534441 +11810,MN,462,16,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,34 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,SEVENTH STREET PROPER,2218,9684,1614,8070,0,1614,0,0,0,0,2,1,6,22,24,24.42,90.83,24,78, ,3,N,5,2,468000,1594350,0,0,1900,0,0, , ,4.37,4,0,4,1,1004620016,0,38,987262,204571,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,236.7095082,2299.448999,1126350,12,0,11809,11811,10,2250,35.00777817,36.96222305,1.954444885,35.2838562,0.583885929,352.838562 +11811,MN,452,25,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,334 EAST 11 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"L.S. GROUP, LTD",2369,9422,1884,7538,0,1884,0,0,0,0,2,1,5,17,19,25,94.75,25,70, ,3,N,5,2,310950,1486800,0,0,1900,0,0, , ,3.98,4,0,4,1,1004520025,0,40,988460,205047,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,241.7098714,2384.024736,1175850,12,0,11810,11812,11,2475,22.86222267,25.51444435,2.65222168,23.4161214,0.96655712,257.5773354 +11812,MN,404,42,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,327 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ESTHER BAUMRIND,2369,6990,0,6990,0,0,0,0,0,0,2,1,5,10,10,25,94.75,25,57,E,3,N,5,2,32865,145888,0,0,1900,0,0,East 10th Street Historic District, ,2.95,4,0,4,1,1004040042,0,34,989627,204288,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,244.7688212,2418.81074,113023,12,0,11811,11813,10,2250,12.53199959,14.0377779,1.505778313,12.88942204,0.496652691,128.8942204 +11813,MN,506,12,102,37,3001,2,3,10014,E024,1,15,6800,1,2,1B,40 CHARLTON STREET,R6,M1-6, , , , ,HSQ, , , ,Y,W3,8,0,X,LITTLE RED SCHOOL HOU,11596,49475,49475,0,0,0,0,0,0,49475,2,2,5,0,1,115.92,100.04,93,84, ,3,N,5,2,1381500,6064200,1381500,6064200,1900,2010,0,Charlton-King-Vandam Historic District, ,4.27,2.43,0,4.8,1,1005060012,0,37,982908,204093,12a, ,101N068,10206,R-160,1005060012,10/6/2011,1, , ,17V1.1,0,438.4925872,11955.00238,4682700,0,0,11812,11814,52,11700,20.13999939,21.54999924,1.409999847,20.64409902,0.156844042,1073.493149 +11814,MN,544,47,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,32 COOPER SQUARE,M1-5B, , , , , , , , , ,N,K4,4,0, , ,3125,18255,11445,6810,5995,2675,0,2775,0,0,2,1,6,3,6,21.98,149,21,122, ,0,N,0,2,351450,1917450,0,0,1930,0,0, , ,5.84,0,5,6.5,1,1005440047,0,57,986567,204597,12c, ,103 024,10207, ,1005440038,7/31/2013,1, , ,17V1.1,0,339.671298,3063.569055,1566000,9,0,11813,11815,14,3150,40.7820015,40.7820015,0,40.7820015,0,570.9480209 +11815,MN,746,58,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,328 WEST 23 STREET,C1-6A, , , , , , , , , ,N,B9,1,0, ,"KIRSCHNER, LARISSA",2494,7635,0,6135,0,0,0,0,0,0,2,1,5,2,2,100,98.75,25,63, ,3,N,5,1,148504,323724,0,0,1926,2014,2014, , ,3.06,4,2,4,1,1007460058,0,93,984327,210888,8d, ,105S007,10303, ,1007460058,5/14/2010,1, , ,17V1.1,0,264.7166517,2800.309641,175220,2,0,11814,11816,12,2700,15.97222233,19.44111061,3.468888283,16.88101872,1.175753192,202.5722246 +11816,MN,507,7502,102,43,1000,2,1,10012,L020,5,15,6800,1,2, ,256 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,7685,34610,10906,23704,4389,6517,0,0,0,0,2,1,8,24,27,21,90.92,83.33,93, ,3,N,0,5,575104,9695256,0,3265353,2010,0,0, , ,4.5,3.44,6,6.5,1,1005077502,2344,43,986086,202716,12c, ,11N 076,10206, ,1005070036,10/4/2013,1, , ,17V1.1,7,368.457263,8347.834088,9120150,9,0,11815,11817,36,8100,44.71333313,45.31888962,0.605556488,44.73015414,0.099514458,1610.285549 +11817,MN,699,5,104,99,1029,2,3,10001,E003,10,15,5500,1,4,2B,547 WEST 27 STREET,C6-3, , , , , ,WCH, , , ,N,K4,4,0,P,"MARINERS GATE, LLC",17275,97200,97200,0,0,97200,0,0,0,0,2,1,6,0,62,100,197.5,90,180, ,2,Y,4,0,1800000,12043350,0,0,1900,1984,2003,West Chelsea Historic District, ,5.63,7.52,6,10,1,1006990005,0,99,983054,213025,8b, ,105S004,10301,E-142,0, ,1, ,1,17V1.1,0,604.8519604,17663.23499,10243400,2,1,11816,11818,77,17325,9.874000549,12.04777813,2.17377758,9.941429089,0.305317282,765.4900398 +11818,MN,832,62,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,30 WEST 31 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,CHSP 31ST STREET LLC,4938,60270,0,0,0,0,0,0,0,0,2,1,19,0,1,50,98.75,50,98, ,1,N,5,0,1973700,12657150,0,0,2009,0,0, , ,12.21,0,10,10,1,1008320062,0,76,987669,211435,8d, ,104 015,10306, ,1008320062,12/10/2010,1, , ,17V1.1,0,305.3294255,5145.786606,10683500,10,0,11817,11819,22,4950,43.61000061,44.61888886,1.008888245,43.65585917,0.210150307,960.4289017 +11819,MN,178,5,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,104 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,O8,5,0,P,"104 FRANKLIN STREET,",2512,10500,6500,4000,4000,2500,0,0,0,0,2,1,5,2,6,25,100.58,25,95,E,3,N,5,2,452250,1038150,0,0,1900,0,0,Tribeca East Historic District, ,4.18,6.02,6,6.5,1,1001780005,0,33,982703,201092,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,262.6207089,2661.673117,585900,14,1,11818,11820,12,2700,9.793333054,9.793333054,0,9.793333054,0,117.5199966 +11820,MN,411,16,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,99 STANTON STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,KYLA REAL ESTATE CO.L,1650,4950,4950,0,0,4950,0,0,0,0,2,1,2,0,1,22,75.33,22,72, ,3,N,5,2,148500,666900,0,0,1930,2005,2005, , ,3,4,4,4,1,1004110016,0,3001,987545,202013,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,204.7936041,1808.018848,518400,1,0,11819,11821,8,1800,31.63777733,31.68099976,0.043222427,31.67559695,0.014294474,253.4047756 +11821,MN,281,50,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,27 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0,P,TUNG ON SOCIAL CLUB I,3478,9925,9925,0,0,6700,0,0,0,3225,2,1,3,0,3,50,69.75,50,70, ,3,Y,5,2,232650,1186650,0,0,1958,2003,0, , ,2.85,3.44,6,6.5,1,1002810050,0,8,985324,199392,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,243.6948353,3612.657384,954000,16,0,11820,11822,16,3600,35.10200119,41.16111374,6.059112549,36.55219555,2.514589116,584.8351288 +11822,MN,521,37,102,55.02,2009,2,1,10012,L009,9,15,5700,1,2,1G,26 BLEECKER STREET,C6-2, , , , , ,LI, , , ,N,O7,5,0,X,PLANNED PARENTHOOD OF,6455,43365,43365,0,43365,0,0,0,0,0,2,1,7,0,1,69,90,69,90, ,0,Y,3,2,1125000,4685400,1125000,4685400,1900,1992,0,Noho East Historic District, ,6.72,6.02,6,6.5,1,1005210037,0,5502,986012,203561,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,352.9387625,6839.055103,3560400,9,0,11821,11823,31,6975,42.24777603,43.92300034,1.675224304,43.74728701,0.447260145,1356.165897 +11823,MN,132,7501,101,21,2004,2,1,10007,L010,1,15,7700,1,1, ,275 GREENWICH STREET,C6-3,C6-2A, , , , ,TMU, , , ,Y,RM,4,0, ,GREENWICH COURT CONDO,27901,123089,13286,109803,0,9736,0,0,0,3550,2,1,11,128,129,131.52,186.34,0,0, ,0,Y,5,5,5214532,22070704,198348,259966,1987,0,0, , ,4.41,7.52,6,10,1,1001327501,401,21,981222,199833,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,7,616.1133037,19229.97822,16856200,3,1,11822,11824,87,19575,12.36555576,17.78899956,5.423443794,17.43298935,1.055397447,1516.670074 +11824,MN,543,50,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,134 WEST 4 STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,134 W 4TH STREET LLC,2398,6895,0,6895,0,0,0,0,0,0,2,1,4,3,3,22,109,22,48,E,3,N,5,1,65247,399726,0,0,1900,2012,0,South Village Historic District, ,2.88,3.44,0,6.5,1,1005430050,0,65,984193,205624,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,272.022456,2596.107846,334479,9,0,11823,11825,11,2475,18.19555664,20.90999985,2.714443207,18.46991001,0.776490509,203.1690102 +11825,MN,742,44,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,308 WEST 19 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,A&S HANSEATIC PARTNER,1540,3344,0,2508,0,0,0,0,0,0,2,1,3,2,2,22,70,22,38, ,3,N,5,1,18920,142202,0,0,1920,2008,0, , ,2.17,3,0,3,1,1007420044,0,89,983980,209946,8d,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,180.6532297,1406.516623,123282,7,0,11824,11826,6,1350,15.59444427,19.72777748,4.133333206,16.95351855,1.922294261,101.7211113 +11826,MN,471,22,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,186 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,D7,4,0, ,186 MULBERRY LLC,2485,15833,2833,13000,0,2833,0,0,0,0,2,1,6,5,6,25.29,100.25,25,100, ,3,Y,3,2,77966,1577264,0,0,1900,2000,2000, , ,6.37,6.02,6,6.5,1,1004710022,0,41,984987,201440,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,258.7411919,2676.295752,1499300,0,0,11825,11827,12,2700,24.86333275,26.91777802,2.054445267,25.03453652,0.567818675,300.4144382 +11827,MN,527,1,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,2 BEDFORD STREET,R7-2,R6, , ,C1-5, , , , , ,Y,C0,2,0,P,CALABRIA LUIGI,1700,3328,0,3328,0,0,0,0,0,0,2,1,4,3,3,22.75,100,22.75,40, ,3,Y,5,2,35660,123087,0,0,1899,0,0,Greenwich Village Historic District Exte, ,1.96,3.44,0,6.5,1,1005270001,0,67,983377,204825,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,236.2392505,1771.619301,87427,9,0,11826,11828,9,2025,15.38333321,18.4533329,3.069999695,16.24098757,1.241345577,146.1688881 +11828,MN,796,60,104,87,1001,2,3,10011,L012,13,15,5600,1,4,1A,136 WEST 21 STREET,C6-3A, , , , , , , , , ,N,W9,8,0, ,SCHOOL OF VISUAL ARTS,6348,77437,77437,0,22089,6348,0,0,0,49000,2,1,12,0,13,69,92,69,92, ,3,N,5,2,931500,5285700,0,0,1910,0,0, , ,12.2,7.52,6,7.5,1,1007960060,0,87,985495,209653,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,327.9075317,6551.728497,4354200,7,0,11827,11829,28,6300,28.3488884,32.11333084,3.764442444,28.65025343,0.966438199,802.2070961 +11829,MN,392,7,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,155 AVENUE B,R7A, , , , , , , , , ,N,C7,4,0, ,"TEN BE OR NOT TEN BE,",3091,13600,1200,12400,0,1200,0,0,0,0,2,1,5,20,22,46.25,66.83,45,60, ,2,N,3,2,225000,1269000,0,0,1900,2010,0, , ,4.4,4,0,4,1,1003920007,0,28,989849,204018,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,233.4018565,3303.854936,1044000,12,1,11828,11830,15,3375,7.576999664,8.144666672,0.567667007,7.614844131,0.14160103,114.222662 +11830,MN,625,21,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,799 GREENWICH STREET,R6,C1-6, , , , , , , , ,Y,C6,2,0, ,799 GREENWICH ST TENA,2777,16026,0,16026,0,0,0,0,0,0,2,2,6,12,12,21,77.83,21,75, ,3,Y,3,2,315000,1890000,141120,141120,1900,1972,1987,Greenwich Village Historic District, ,5.77,2.43,0,4.8,1,1006250021,0,79,982515,208075,12a,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,305.7902425,2968.120856,1575000,8,0,11829,11831,12,2700,15.4800005,15.4800005,0,15.4800005,0,185.760006 +11831,MN,389,26,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,216 EAST 7 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,216 E 7TH ST OWNERS C,2272,6985,0,6985,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,56, ,0,N,5,5,17384,77115,7080,7080,1925,1985,0, , ,3.07,4,0,4,1,1003890026,0,2602,989867,203129,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,233.2459736,2330.536635,59731,12,1,11830,11832,10,2250,7.700000286,8.926667213,1.226666927,7.906333637,0.421780536,79.06333637 +11832,MN,592,74,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,113 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,C5,2,0, ,NEWMAN FAMILY ENTERPR,5238,6225,0,6225,0,0,0,0,0,0,2,1,4,10,10,25,97,25,52,E,3,N,5,1,109323,463320,0,0,1940,1989,0,Greenwich Village Historic District, ,1.19,2.43,0,4.8,1,1005920074,0,71,983964,206264,12c,Y,103 017,10208, ,0, ,1, , ,17V1.1,0,249.3352425,2473.679927,353997,9,0,11831,11833,10,2250,17.50333405,17.50333405,0,17.50333405,0,175.0333405 +11833,MN,615,90,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,257 WEST 12 STREET,R6, , , , , , , , , ,N,C4,2,0, ,"KC VILLAGE CORP.,",1750,6925,0,6925,0,0,0,0,0,0,2,1,5,11,11,25.08,70,25,58, ,2,N,5,1,166050,1159200,0,0,1901,1988,0,Greenwich Village Historic District, ,3.96,2.43,0,4.8,1,1006150090,0,77,983441,208072,12a,Y,103 016,10209, ,0, ,1, , ,17V1.1,0,194.5123111,1743.317772,993150,8,0,11832,11834,7,1575,21.74111176,21.74111176,0,21.74111176,0,152.1877823 +11834,MN,914,36,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,222 EAST 34 STREET,C1-9A, , , , , ,TA, , , ,N,D8,3,0, ,ROSEBUD OWNER LLC,35396,541505,85799,455706,22664,35609,27526,0,0,0,2,1,21,480,487,360,98.75,360,67, ,3,Y,5,2,8550000,79312950,0,0,2002,2011,0, , ,15.3,10,2,10,1,1009140036,0,70,990624,210680,8d, ,104 021,10308,E-62,1009140036,1/23/2004,1, , ,17V1.1,0,922.2137483,36405.27466,70763000,10,0,11833,11835,159,35775,17.92555618,24.92222214,6.996665955,18.22012078,1.13125792,2896.999205 +11835,MN,143,19,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,331 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,"MILLNER, GIEL",2603,6368,1592,4776,0,1592,0,0,0,0,2,1,4,3,4,25.58,100.58,26,91, ,3,N,5,5,303699,442018,0,0,1920,2006,0,Tribeca West Historic District, ,2.45,6.02,6,6.5,1,1001430019,0,39,981410,200773,12a, ,101S016,10104, ,0, ,1, , 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,17V1.1,0,241.250174,2396.169403,75579,1,1,11838,11840,11,2475,9.168999672,11.58777809,2.418778419,9.746221976,0.959637001,107.2084417 +11840,MN,801,7501,104,91,1000,2,3,10001,E001,13,15,5200,2,4, ,137 WEST 25 STREET,M1-6, , , , , , , , , ,N,RC,5,0, ,137-139 W 25 ST CONDO,6550,80850,80850,0,66000,8250,0,6600,0,0,2,1,12,0,14,66.33,98.75,0,0, ,0,N,5,5,1277097,7858349,199552,1214872,1910,0,0, , ,12.34,0,10,10,1,1008017501,429,91,986073,210730,8d, ,105S012,10305, ,1008010016,12/9/1987,1, , ,17V1.1,7,339.2611647,6833.6297,6581250,2,0,11839,11841,31,6975,32.50999832,32.50999832,0,32.50999832,0,1007.809948 +11841,MN,610,42,102,71,4004,2,3,10014,Q018,6,15,6100,1,2,2K,179 WAVERLY PLACE,R6, , , , , , , , , ,N,D7,4,0, ,JONIS-181 WAVERLY PLA,4809,21420,4000,17420,0,4000,0,0,0,0,2,1,5,28,32,96.17,50,95,50, ,3,N,3,2,292500,2967750,0,0,1926,1988,0,Greenwich Village Historic District, ,4.45,2.43,0,4.8,1,1006100042,0,71,983925,206806,12a,Y,103 017,10209, ,0, ,1, , ,17V1.1,0,300.751461,5084.692841,2675250,8,0,11840,11842,23,5175,18.18777847,21.74555588,3.557777405,18.57438701,0.996061692,427.2109013 +11842,MN,470,23,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1F,117 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C4,2,0, ,"167 MOTT STREET, LLC",2330,9311,0,9311,0,0,0,0,0,0,2,1,5,10,10,24.83,94.5,25,75, ,3,Y,5,2,20654,114683,0,0,1900,1989,0, , ,4,6.02,6,6.5,1,1004700023,0,41,985421,201317,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,243.2754044,2343.710715,94029,0,0,11841,11843,9,2025,28.80888939,28.80888939,0,28.80888939,0,259.2800045 +11843,MN,178,25,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,13 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,13 19 WHITE ST CORP,8894,49000,7000,42000,0,7000,0,0,0,0,2,1,6,25,29,88.5,100.58,40,98, ,0,N,5,2,535500,4099050,9850,9850,1890,1980,0,Tribeca East Historic District, ,5.51,6.02,6,6.5,1,1001780025,0,33,982707,201211,12a, ,101S036,10105, ,0, ,1, , 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FUNDING INC.,3030,9000,4600,4400,0,4600,0,0,0,0,2,1,2,2,6,60.58,49.92,61,50, ,3,Y,3,2,356850,982800,0,0,1940,1998,0,Tribeca South Historic District, ,2.97,6.02,6,6.5,1,1001460027,0,33,982129,200014,12a,Y,101S017,10104, ,0, ,1, , ,17V1.1,0,232.4860793,3311.012644,625950,14,0,11843,11845,14,3150,16.87777901,16.87777901,0,16.87777901,0,236.2889061 +11845,MN,632,39,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,719 GREENWICH STREET,R6,C1-6, , , , , , , , ,Y,D0,3,0, ,GREENWICH GREEN COOPE,4550,25746,0,25746,0,0,0,0,0,0,2,1,6,14,14,56.5,92,56,80, ,2,Y,5,2,450000,3369600,19290,19290,1915,1976,0,Greenwich Village Historic District, ,5.66,2.43,0,4.8,1,1006320039,0,75,982358,206909,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,284.7282107,4701.402743,2919600,9,0,11844,11846,21,4725,19.34666634,19.34666634,0,19.34666634,0,406.2799931 +11846,MN,399,24,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,230 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,PEOPLE'S MUTUAL HSNGE,4616,18690,0,18690,0,0,0,0,0,0,2,1,6,18,18,48,96.17,48,83, ,0,N,5,5,207900,1187550,0,0,1900,1993,0, , ,4.05,4,0,4,1,1003990024,0,32,988879,202819,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,297.6504897,4861.871861,979650,1,0,11845,11847,21,4725,18.04222298,19.14999962,1.107776642,18.09497425,0.235910845,379.9944592 +11847,MN,430,1,103,30.02,2000,1,2,10009,E028,9,14,6600,1,3,3B,40 1 AVENUE,R8B,R7-2,R7A, ,C2-5, , , , , ,Y,D4,3,0,P,VILLAGE VIEW HOUSING,64082,147730,0,147730,0,0,0,0,0,0,2,1,16,164,164,192,613,190,50, ,1,Y,3,2,3950550,11815200,3950550,11815200,1964,0,0, , ,2.31,4,0,4,1,1004300001,0,3002,987919,202953,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,1612.913454,64979.94739,7864650,1,0,11846,11848,289,65025,24.52444458,32.01777649,7.493331909,28.56840448,1.644485325,8256.268894 +11848,MN,447,11,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,310 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,QUAD REALTY LLC,2425,8241,2000,6241,0,2000,0,0,0,0,2,1,5,24,25,25,97,25,77, ,3,N,5,1,372600,1617750,0,0,1920,1986,0,East Village/Lower East Side Historic Di, ,3.4,4,0,4,1,1004470011,0,38,987573,204119,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.3904205,2565.306389,1245150,1,0,11847,11849,12,2700,28.15800095,30.0664444,1.908443451,28.47688977,0.626286201,341.7226772 +11849,MN,400,15,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,518 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,512-518 5TH ST. ASSOC,2404,7172,0,7172,0,0,0,0,0,0,2,1,5,19,19,25,96.17,25,54, ,3,N,5,2,225000,1182600,0,0,1900,1989,0, , ,2.98,3,0,3,1,1004000015,0,32,988802,203152,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,243.0320088,2434.251583,957600,1,0,11848,11850,11,2475,15.8922224,19.16888809,3.276665688,16.66949498,1.030052541,183.3644447 +11850,MN,423,17,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,327 BROOME STREET,C6-3A, , , , , , , , , ,N,K2,5,0, ,"BROOME 327, LLC",1902,3750,3750,0,0,3750,0,0,0,0,2,1,2,0,1,24.92,76.33,25,76, ,3,Y,5,2,135000,511200,0,0,1920,0,0, , ,1.97,7.52,6,7.5,1,1004230017,0,18,985968,201236,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,206.7248918,1891.997173,376200,0,0,11849,11851,8,1800,34.16999817,38.31999969,4.150001526,34.81479025,1.365338683,278.518322 +11851,MN,731,41,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,415 9 AVENUE,C6-4, , , , , ,HY, , , ,N,C4,2,0,P,ROMEO-KILO CORP,3950,7000,1750,5250,0,1750,0,0,0,0,2,1,4,6,9,39.5,100,40,63, ,3,N,5,2,86675,404235,0,0,1926,2008,0, , ,1.77,10,10,10,1,1007310041,0,103,985095,213640,8d, ,105S018,10302,E-137,0, ,1, , ,17V1.1,0,279.3114824,3881.243669,317560,6,0,11850,11852,17,3825,43.60599899,47.64444351,4.038444519,45.02695375,1.690271163,765.4582138 +11852,MN,411,38,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,88 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,O8,5,0, ,RARE BREED REALTY COR,1906,7975,4375,3600,4375,0,0,0,0,0,2,1,5,3,5,25.33,75.25,25,73, ,3,N,5,2,257400,915300,0,0,1920,1980,0, , ,4.18,4,4,4,1,1004110038,0,3001,987347,201736,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,209.6760039,2015.315245,657900,13,0,11851,11853,10,2250,31.68099976,31.68099976,0,31.68099976,0,316.8099976 +11853,MN,584,58,102,67,4001,2,3,10014,E024,6,15,6400,1,2,2B,41 COMMERCE STREET,R6, , , , , , , , , ,N,B1,1,0, ,"PEYTON, ELIZABETH J.",962,1575,0,1575,0,0,0,0,0,0,2,1,3,2,2,25.5,36.58,25.5,21, ,2,Y,3,2,28614,103550,0,0,1901,2014,0,Greenwich Village Historic District, ,1.64,2.43,0,4.8,1,1005840058,0,67,982716,205813,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,133.6902241,1073.472098,74936,9,0,11852,11854,5,1125,18.09222221,20.03000069,1.937778473,18.47977791,0.775111389,92.39888954 +11854,MN,778,32,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,213 WEST 28 STREET,M1-6D, , , , , , , , , ,N,C4,2,0, ,213 WEST 28 LLC,2456,10171,1500,8671,0,1500,0,0,0,0,2,1,5,16,17,24.83,98.75,25,88, ,3,N,5,2,220950,1286100,0,0,1901,1989,0, , ,4.14,10,10,10,1,1007780032,0,95,985920,211696,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,266.2657003,2736.401712,1065150,2,0,11853,11855,11,2475,28.45999908,28.45999908,0,28.45999908,0,313.0599899 +11855,MN,835,41,105,76,1001,2,4,10118,L024,14,15,5200,1,5,1A,338 5 AVENUE,C5-3,C6-4.5, , , , ,MID, , , ,Y,O4,5,0,P,ESRT EMPIRE STATE BUI,91351,2812739,2812739,0,2685483,127256,0,0,0,0,2,1,102,0,513,197.5,500,198,425, ,3,Y,3,2,99000000,396455850,0,17005536,1931,2011,0, ,EMPIRE STATE BUILDING,30.79,10,15,15,1,1008350041,0,76,988209,211958,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,1421.836213,97113.73153,297456000,10,0,11854,11856,432,97200,45.85200119,51.79111099,5.939109802,46.26920115,1.239289529,19988.2949 +11856,MN,899,39,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,234 EAST 19 STREET,R7-2, , , , , , , , , ,N,B1,1,0, ,MARC WEISS REVOCABLE,1750,4450,0,3338,0,0,0,0,0,0,2,1,3,2,2,20.83,84,21,69,E,3,N,5,3,22885,62281,0,0,1920,1953,0, , ,2.54,3.44,0,6.5,1,1008990039,0,48,988782,207279,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,213.1542983,1845.139111,39396,5,0,11855,11857,8,1800,20.82333374,23.66666603,2.843332291,21.91323614,1.154059308,175.3058891 +11857,MN,492,7503,102,43,2000,2,1,10012,L020,5,15,6800,1,2, ,200 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, ,200 BOWERY COURT COND,5000,26120,9096,17024,0,9096,0,0,0,0,2,1,8,35,37,50.33,98.83,0,0, ,0,N,5,5,603003,3512251,24331,44599,1988,1988,0, , ,5.22,3.44,6,6.5,1,1004927503,665,43,985911,202102,12c, ,11N 076,10206, ,1004920035,12/9/1989,1, , ,17V1.1,7,306.4822896,5168.015849,2909250,0,0,11856,11858,23,5175,39.76666641,42.01666641,2.25,39.8644925,0.45884502,916.8833275 +11858,MN,907,40,106,66,3001,2,2,10016,E016,13,14,5800,1,6,1B,234 EAST 27 STREET,R8B, , , , , , , , , ,N,M1,8,0,P,PRIMERA IGLESIA CRIST,5431,10321,10321,0,0,0,0,0,0,10321,2,1,3,0,1,55,98.75,55,98.25, ,3,N,5,2,413550,1161900,413550,1161900,1977,0,0, , ,1.9,4,0,4,1,1009070040,0,66,989836,209057,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,320.0197547,5893.10044,748350,11,0,11857,11859,27,6075,34.39699936,39.07444382,4.677444458,35.39089259,1.765546675,955.5541 +11859,MN,465,46,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,48 STUYVESANT STREET,R8B, , , , , , , , , ,N,C1,2,0, ,STUYVESANT 48 LLC,1912,8827,0,8827,0,0,0,0,0,0,2,1,7,14,14,28.5,79.25,25,64, ,3,Y,5,2,112500,968850,0,488443,1900,2000,0, , ,4.62,4,0,4,1,1004650046,0,40,987727,205171,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,196.1783892,1689.053921,856350,12,0,11858,11860,6,1350,31.03333282,31.03333282,0,31.03333282,0,186.1999969 +11860,MN,874,30,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,143 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,"TAGLIONI, GIAMBATTIST",1170,3360,0,3360,0,0,0,0,0,0,2,1,4,1,1,14.75,79.33,14.75,57, ,2,N,5,3,73390,162516,0,0,1920,2006,0,Gramercy Park Historic District, ,2.87,4,0,4,1,1008740030,0,50,988099,207538,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,194.8629682,1241.479495,89126,5,0,11859,11861,6,1350,27.68333435,30.38888931,2.705554962,28.53463046,1.207094741,171.2077827 +11861,MN,390,36,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,111 AVENUE C,R7A, , , ,C1-5, , , , , ,N,S2,4,0, ,"111 AVENUE C, LLC",1218,3847,1800,2047,0,1800,0,0,0,0,2,1,4,2,3,19.33,63,19.33,45,E,0,N,5,5,28365,51752,0,0,1901,2000,2015, , ,3.16,4,0,4,1,1003900036,0,2602,990087,203181,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,163.2858377,1171.262772,23387,12,1,11860,11862,6,1350,7.409999847,8.408888817,0.998888969,7.576481342,0.37226394,45.45888805 +11862,MN,41,7502,101,7,1003,2,1,10005,E004,1,15,7700,1,1, ,54 PINE STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,2496,11568,4849,6719,0,4849,0,0,0,0,2,1,5,4,5,26,96,0,0, ,0,Y,0,5,68029,1280407,0,0,1900,0,0, , ,4.63,10,15,15,1,1000417502,1143,7,981898,196801,12b, ,11S 006,10101, ,1000410020,12/20/2000,1, , ,17V1.1,7,245.755896,2444.83114,1212380,4,0,11861,11863,11,2475,22.09499931,22.09499931,0,22.09499931,0,243.0449924 +11863,MN,694,65,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,170 11 AVENUE,C6-3,C6-3A, , , , ,WCH, , , ,Y,E7,6,0,P,U-HAUL INTNL INC,16046,37032,37032,0,0,0,12344,24688,0,0,2,1,3,0,1,148.12,125,97,125, ,2,Y,3,2,900000,2024100,0,0,1921,1988,0, , ,2.31,7.52,6,10,1,1006940065,0,99,982344,211983,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,554.551525,16517.2168,1124100,2,1,11862,11864,71,15975,6.691111088,8.005556107,1.314445019,6.950110973,0.256745982,493.4578791 +11864,MN,507,6,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,236 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0, ,236 ELIZABETH ST. LLC,1860,6784,2334,4450,0,2334,0,0,0,0,2,1,5,7,8,20.08,92.83,20,48, ,3,N,5,2,20968,237883,0,0,1910,2012,2014, , ,3.65,6.02,6,6.5,1,1005070006,0,43,985992,202738,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,233.428753,1990.643672,216915,9,0,11863,11865,9,2025,44.71333313,44.71333313,0,44.71333313,0,402.4199982 +11865,MN,621,47,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,76 PERRY STREET,R6, , , , , , , , , ,N,B1,1,0, ,"MINTZ,LOWELL A",1902,3840,0,2880,0,0,0,0,0,0,2,1,3,2,2,20,95.08,20,48, ,3,N,5,1,38719,170915,0,0,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006210047,0,73,983090,207134,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,231.6161039,1882.372615,132196,8,0,11864,11866,9,2025,24.81222343,27.3599987,2.547775269,25.59296332,0.869621541,230.3366699 +11866,MN,573,72,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,55 WEST 9 STREET,R6, , , , , , , , , ,N,A9,1,0, ,"BARON, FABIEN",2045,4048,0,3036,0,0,0,0,0,0,2,1,3,1,1,22.17,92.25,22.17,46, ,3,N,5,1,85735,283503,0,0,1900,2011,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005730072,0,63,984796,206683,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,232.3823384,2086.553917,197768,8,0,11865,11867,10,2250,18.98099899,19.79333305,0.812334061,19.20494385,0.259971333,192.0494385 +11867,MN,238,32,102,41,3001,2,1,10013,L006,5,15,6800,1,2,1F,75 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,S3,4,0, ,LAU'S III LLC,940,2321,774,1547,0,774,0,0,0,0,2,1,3,3,4,20.08,57.08,20,48, ,3,Y,5,5,48423,145474,0,0,1920,1987,0, , ,2.47,6.02,6,6.5,1,1002380032,0,41,985265,200820,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,142.6699067,1054.539437,97051,0,0,11866,11868,5,1125,31.90200043,37.54600143,5.644001007,33.03080063,2.257600403,165.1540031 +11868,MN,379,44,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,741 EAST 9 STREET,R8B, , , , , , , , , ,N,E1,6,0, ,741 E. 9TH ST. LLC,2307,2876,2876,0,0,0,0,0,2876,0,2,1,2,0,2,25,92.27,25,92, ,3,N,5,0,113400,472500,0,0,1920,0,0, , ,1.25,4,0,4,1,1003790044,0,28,990857,203325,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,237.2358366,2340.441072,359100,12,1,11867,11869,11,2475,7.409999847,7.885000229,0.475000381,7.841818376,0.136553009,86.26000214 +11869,MN,935,49,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,320 EAST 30 STREET,R7B, , , , , , , , , ,N,S2,4,0, ,LIVIA WAN LUI REVOCAB,2082,3860,965,2895,965,0,0,0,0,0,2,1,3,2,3,21.08,98.75,21,45, ,3,N,5,1,40656,71617,1550,1550,1953,1984,0, , ,1.85,3,0,3,1,1009350049,0,70,990670,209476,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,243.7355974,2090.57155,30961,10,0,11868,11870,9,2025,35.01100159,37.55111313,2.540111542,35.81921048,0.891980639,322.3728943 +11870,MN,423,26,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,250 GRAND STREET,C6-3A, , , , , ,TA, , , ,N,K4,4,0,P,TONG FAT REALTY CORP,1333,3993,3993,0,2660,1333,0,0,0,0,2,2,3,0,4,25,53.33,25,53, ,3,Y,3,2,137250,429750,0,0,1900,0,0, , ,3,7.52,6,7.5,1,1004230026,0,18,985928,200993,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,160.5726269,1416.886141,292500,0,0,11869,11871,7,1575,34.16999817,34.16999817,0,34.16999817,0,239.1899872 +11871,MN,818,9,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,49 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C2,2,0, ,"49 WEST 16TH STREET,",1840,6538,0,6538,0,0,0,0,0,0,2,1,5,6,6,20,92,20,63,E,3,N,5,5,286071,424564,0,0,1925,2008,2008, , ,3.55,6.02,6,6.5,1,1008180009,0,54,985599,208369,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,226.5336547,1722.539512,138493,7,0,11870,11872,8,1800,31.11599922,31.29533196,0.179332733,31.13841581,0.059308727,249.1073265 +11872,MN,385,35,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,29 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C1,2,0,P,29 AVENUE C NEW REALT,2650,7908,0,7908,0,0,0,0,0,0,2,1,6,13,13,26.5,100,26.5,60, ,0,N,5,2,238500,807750,0,0,2000,0,0, , ,2.98,4,0,4,1,1003850035,0,2202,989521,202181,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,260.5393562,2787.33369,569250,1,0,11871,11873,13,2925,14.97222233,14.97222233,0,14.97222233,0,194.6388903 +11873,MN,169,10,101,31,1008,2,1,10013,L001,5,15,7700,1,1,3B,111 CENTRE STREET,C6-4, , , , , , , , , ,N,Z3,8,0,C,DCAS,35839,640000,640000,0,0,0,0,0,0,640000,2,1,12,0,2,200.33,171.92,192,165, ,3,Y,3,2,5580000,64341900,5580000,64341900,1958,0,0, , ,17.86,10,10,10,1,1001690010,0,31,983853,200432,12a,Y,101S034,10105, ,0, ,1, , ,17V1.1,0,760.069958,35969.68496,58761900,14,0,11872,11874,159,35775,13.85000038,14.86555576,1.015555382,13.87880541,0.139540978,2206.73006 +11874,MN,858,14,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,80 MADISON AVENUE,C5-2, , , , , , , , , ,N,D6,4,0, ,"80 MADISON AVENUE, LL",7038,60110,10238,49872,5500,4738,0,0,0,0,2,1,8,56,61,74.08,95,72,93, ,3,N,3,2,1858500,8073000,0,0,1923,1981,0, , ,8.54,10,10,10,1,1008580014,0,74,988173,210436,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,358.0605127,7903.552189,6214500,11,0,11873,11875,34,7650,38.89199829,38.89199829,0,38.89199829,0,1322.327942 +11875,MN,474,12,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,453 BROOME STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,INTERNATIONAL OLIVECO,4788,32604,32604,0,0,32604,0,0,0,0,2,1,6,0,1,50,95.75,50,95.75, ,0,Y,3,2,540000,4497300,0,0,1900,2013,2016,SoHo-Cast Iron Historic District, ,6.81,0,5,6.5,1,1004740012,0,47,983983,202347,12c,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,309.4084266,5426.382243,3957300,0,0,11874,11876,25,5625,14.17000008,22.44444466,8.27444458,15.15296894,2.527809702,378.8242235 +11876,MN,201,34,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,70 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,KUAN LEE LAI SI RLTY/,2271,13772,1971,11801,0,1971,0,0,0,0,2,1,7,18,20,22.92,100,23,86, ,3,Y,5,2,157500,726300,0,0,1910,1987,0, , ,6.06,3.44,6,6.5,1,1002010034,0,29,984774,200032,12c,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,248.4198285,2257.416654,568800,14,0,11875,11877,9,2025,33.0379982,33.0379982,0,33.0379982,0,297.3419838 +11877,MN,696,1,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,202 11 AVENUE,M1-5,C6-3, , , , ,WCH, , , ,Y,K2,5,0,P,136 WOOSTER CORP.,21527,26000,26000,0,4000,22000,0,0,0,0,2,1,1.5,0,1,98.75,218,98.75,218, ,3,N,3,0,2250000,5357250,0,0,1938,2014,0, , ,1.21,0,5,6.5,1,1006960001,0,99,982617,212351,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,633.3649056,21547.50033,3107250,2,1,11876,11878,97,21825,8.63299942,8.960333824,0.327334404,8.639392332,0.037899153,838.0210562 +11878,MN,692,15,104,99,1033,2,3,10011,E003,10,15,5500,1,4,1B,529 WEST 20 STREET,M1-5, , , , , ,WCH, , , ,N,O3,5,0,P,529 WEST 20TH STREET,9200,111329,111329,0,111329,0,0,0,0,0,2,1,11,0,23,100,92,100,92, ,3,N,5,0,1129500,8459100,0,0,1930,1988,1996, , ,12.1,0,5,6.5,1,1006920015,0,99,982338,211294,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,392.3362007,9605.218924,7329600,7,1,11877,11879,43,9675,7.123000145,7.123000145,0,7.123000145,0,306.2890062 +11879,MN,586,62,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,268 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,"GETTY GROUP,INC.",1062,2832,768,2064,0,768,0,0,0,0,2,1,4,4,5,18,59,18,44, ,3,N,5,5,74647,169895,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.67,3.44,0,6.5,1,1005860062,0,67,983350,205706,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,165.1548111,1228.385118,95248,9,0,11878,11880,6,1350,17.38400078,18.1060009,0.722000122,17.50433413,0.269073559,105.0260048 +11880,MN,97,32,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1,1B,24 PECK SLIP,C6-2A, , , , , ,LM, , , ,N,D7,4,0,P,YARROW TWO LLC,2550,14261,2300,11961,0,2300,0,0,0,0,2,1,6,9,10,25.1,101.75,25,101, ,0,Y,3,5,1251000,2057850,1062180,1869030,2004,0,0,South Street Seaport Historic District, ,5.59,6.02,6,6.5,1,1000970032,0,1501,983712,197172,12b, ,101S023,10103, ,1000970032,12/22/2004,1,1,1,17V1.1,0,249.1852126,2398.286416,806850,4,1,11879,11881,10,2250,5.993332863,5.993332863,0,5.993332863,0,59.93332863 +11881,MN,573,62,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,35 WEST 9 STREET,R6, , , , , , , , , ,N,D4,3,0,P,35 WEST 9 OWNERS CORP,6440,41412,0,41412,0,0,0,0,0,0,2,1,9,36,36,69.83,92.25,70,74, ,3,N,5,2,585000,3143700,116555,116555,1926,0,0,Greenwich Village Historic District, ,6.43,2.43,0,4.8,1,1005730062,0,63,984952,206597,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,330.4839784,6696.339167,2558700,8,0,11880,11882,31,6975,18.98099899,18.98099899,0,18.98099899,0,588.4109688 +11882,MN,645,51,102,79,1008,2,3,10014,L005,6,15,6100,1,2,3B,13 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,O5,5,0, ,EPIC W12 LLC,5163,25815,25815,0,15489,10326,0,0,0,0,2,2,5,0,3,50,103.25,0,0, ,1,N,5,0,945000,7159500,0,0,2008,0,0,Gansevoort Market Historic District, ,5,0,5,6.5,1,1006450051,0,79,982358,208908,8b, ,103 039,10210, ,1006450051,12/5/1994,1, , ,17V1.1,0,309.3736729,5214.107693,6214500,8,1,11881,11883,22,4950,11.63800049,11.63800049,0,11.63800049,0,256.0360107 +11883,MN,518,36,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,144 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,144 SULLIVAN ST EQUIT,2504,12887,1470,11417,0,1470,0,0,0,0,2,1,7,26,28,25,100.08,25,86, ,3,N,5,2,234450,2074050,0,0,1900,0,0,Sullivan-Thompson Historic District, ,5.15,3.44,0,6.5,1,1005180036,0,49,983663,204198,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,248.7738487,2437.679931,1839600,9,0,11882,11884,11,2475,20.52111053,20.52111053,0,20.52111053,0,225.7322159 +11884,MN,586,2,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,38 BEDFORD STREET,R6, , , , , , , , , ,N,A4,1,0, ,ANTHONY MUSANTE JR,1560,2154,0,2154,0,0,0,0,0,0,2,1,3,1,1,20,78,20,35,E,3,N,5,2,23058,127732,1550,1550,1901,0,0,Greenwich Village Historic District Exte, ,1.38,2.43,0,4.8,1,1005860002,0,67,983147,205338,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,201.0454713,1722.752881,104674,9,0,11883,11885,7,1575,15.38333321,15.38333321,0,15.38333321,0,107.6833324 +11885,MN,404,58,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,295 EAST 10 STREET,R7A, , , ,C2-5, , , , , ,N,C2,2,0,P,LESPMHA HOUSING DEVEL,2610,5598,0,5598,0,0,0,0,0,0,2,1,4,5,5,23.83,109.5,23.83,45,E,0,N,5,5,60636,380114,0,316138,1900,1990,0,East 10th Street Historic District, ,2.14,4,0,4,1,1004040058,0,34,989282,204487,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,271.8760715,2656.711036,319478,12,0,11884,11886,11,2475,12.53199959,16.05555534,3.523555756,13.69747448,1.43577286,150.6722193 +11886,MN,898,45,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,220 EAST 18 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,"LAURA, ORAM SOLOW",1440,5600,0,5600,0,0,0,0,0,0,2,1,4,5,5,18,80,18,52, ,3,N,5,5,285328,448310,0,0,1920,1965,0,Stuyvesant Square Historic District, ,3.89,3,0,3,1,1008980045,0,48,988564,207125,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,201.8899045,1485.944303,162982,5,0,11885,11887,7,1575,22.7840004,25.91889,3.134889603,23.23184177,1.096982847,162.6228924 +11887,MN,196,12,101,31,1000,2,1,10013,L001,5,15,7700,1,1,3B,272 CANAL STREET,M1-5, , , , , , , , , ,N,K4,4,0, ,274 CANAL STREET LLC,602,600,600,0,0,600,0,0,0,0,2,1,4,0,2,25.42,21.33,26,27, ,3,Y,3,2,198900,454500,0,0,1915,0,0,Tribeca East Historic District, ,1,0,5,6.5,1,1001960012,0,31,983845,201177,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,106.3384288,699.9408133,255600,0,0,11886,11888,3,675,11.84555531,13.44111061,1.595555305,12.37740707,0.752151984,37.13222122 +11888,MN,201,7501,103,29,3001,2,1,10013,E009,5,15,7700,1,3, ,13 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,RB,5,0, , ,7092,32989,32989,0,32989,0,0,0,0,0,2,1,6,0,93,0.16,0,0,94.3, ,0,N,5,5,603905,3904653,0,0,1950,0,0, , ,4.65,3.44,6,6.5,1,1002017501,727,29,984919,200146,12c, ,101S032,10105, ,1002010022,11/15/1990,1, , ,17V1.1,7,344.5496935,7284.332938,3300750,14,0,11887,11889,32,7200,33.0379982,35.3722229,2.334224701,33.11094272,0.40613791,1059.550167 +11889,MN,772,66,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,238 WEST 23 STREET,C2-7A, , , , , , , , , ,N,M1,8,0,X,CONG EMUNATH ISRAEL,4871,9386,9386,0,0,0,9386,0,0,0,2,1,1,0,1,49.33,98.75,49,88, ,3,N,5,2,1030500,1593900,1030500,1593900,1920,0,0, , ,1.93,7.52,2,7.5,1,1007720066,0,91,985015,210503,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,302.2148811,4928.352772,563400,2,0,11888,11890,22,4950,22.16600037,25.47777748,3.311777115,22.58677812,1.060593894,496.9091187 +11890,MN,817,55,105,54,2000,2,3,10011,L003,13,15,5700,1,5,1B,2 WEST 16 STREET,C6-4M,C6-2M, , , , , , , , ,Y,C5,2,0, ,VISTA REAL ESTATE INC,3900,12750,0,12750,0,0,0,0,0,0,2,1,3,13,13,35,87.5,35,105, ,3,Y,5,2,207000,1301850,0,0,1925,1988,0,Ladies' Mile Historic District, ,3.27,10,10,10,1,1008170055,0,54,986112,207905,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,311.8874614,4154.316872,1094850,7,0,11889,11891,17,3825,30.80200005,37.90333176,7.101331711,31.21972544,1.670901579,530.7353325 +11891,MN,487,30,102,47,1003,2,1,10012,L008,1,15,6800,1,2,1A,83 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,83 WOOSTER STREET OWN,4250,18699,1500,17199,0,1500,0,0,0,0,2,1,5,4,5,43.67,100,43,98,E,2,Y,5,2,223642,960050,7080,7080,1900,1975,0,SoHo-Cast Iron Historic District, ,4.4,0,5,6.5,1,1004870030,0,47,983806,203041,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,289.8626008,4372.528862,736408,0,0,11890,11892,19,4275,13.42399979,18.37666702,4.952667236,13.68466648,1.105915133,260.0086632 +11892,MN,611,9,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,249 WEST 4 STREET,R6, , , , , , , , , ,N,S3,4,0, ,"ALVAREZ, BIENVENIDO",1647,4520,1647,2873,0,1647,0,0,0,0,2,1,4,3,4,21.5,76.58,22,76,E,2,N,3,5,178088,406415,0,0,1920,0,0,Greenwich Village Historic District, ,2.74,2.43,0,4.8,1,1006110009,0,73,983441,206997,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,206.2064156,1842.048746,228327,8,0,11891,11893,9,2025,23.83777809,26.22000122,2.382223129,24.10246955,0.748660502,216.922226 +11893,MN,571,31,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,15 EAST 13 STREET,C6-1, , , , , , , , , ,N,K2,5,0, ,"REJAEI, ARFA",920,1840,1840,0,0,1840,0,0,0,0,2,1,2,0,2,20,46,20,46, ,3,N,5,0,204750,501750,0,0,1912,0,0, , ,2,3.44,6,6.5,1,1005710031,0,61,986174,207068,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,135.6830471,956.818863,297000,8,0,11892,11894,4,900,36.25,36.25,0,36.25,0,145 +11894,MN,572,5,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,410 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,K2,5,0, ,410 SIXTH AVE INC,1552,3984,3214,770,0,3214,0,0,0,0,2,1,3,1,2,20,77.58,20,77,E,3,N,5,2,233550,1174500,0,0,1920,0,0,Greenwich Village Historic District, ,2.57,3.44,3.4,6.5,1,1005720005,0,63,984505,206618,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,198.2799229,1485.337894,940950,8,0,11893,11895,6,1350,18.70499992,18.70499992,0,18.70499992,0,112.2299995 +11895,MN,571,17,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,28 EAST 14 STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,FOREST TOWN REALTY IN,2581,11201,2400,8801,0,2400,0,0,0,0,2,1,5,8,9,25,103.25,25,103, ,3,N,5,2,720634,1779570,0,0,1930,1995,0, , ,4.34,3.44,6,6.5,1,1005710017,0,61,986352,207123,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,258.8933046,2621.768389,1058940,8,0,11894,11896,11,2475,36.25,36.25,0,36.25,0,398.75 +11896,MN,632,48,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,549 HUDSON STREET,C1-6, , , , , , , , , ,N,C7,4,0,P,PERRY 112-114 LLC,2251,11900,2800,9100,1400,0,0,1400,0,0,2,1,5,13,15,25,98,25,94,E,3,Y,3,2,164250,1872450,0,0,1911,0,0,Greenwich Village Historic District, ,5.29,3.44,2,6.5,1,1006320048,0,75,982472,207052,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,244.5640564,2448.526353,1708200,9,0,11895,11897,10,2250,19.34666634,20.70222282,1.355556488,19.51366653,0.407126356,195.1366653 +11897,MN,350,7501,103,22.01,1002,1,2,10002,L018,7,14,7600,2,3, ,20 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,RX,4,0, , ,10016,39155,6194,32961,691,3841,0,1662,0,0,2,1,6,38,47,100,100.16,0,0, ,0,N,0,5,280801,3997351,16460,16930,1930,0,0, , ,3.91,4,0,4,1,1003507501,1096,2201,988683,201813,12c, ,102 005,10201, ,1003500042,12/20/1999,1, , ,17V1.1,7,405.5041296,10276.04496,3716550,1,0,11896,11898,45,10125,21.35555649,27.6099987,6.254442215,22.21058761,1.323541439,999.4764423 +11898,MN,440,3,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4B,202 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,PERSAM 202 LLC,3942,15970,1800,14170,0,1800,0,0,0,0,2,1,6,20,21,39.42,100,39,79, ,3,Y,5,2,256500,2938500,0,0,1905,1987,0, , ,4.05,4,0,4,1,1004400003,0,34,988939,205283,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,260.6406764,3371.529844,2682000,12,0,11897,11899,16,3600,18.24200058,22.92555618,4.683555603,19.07912552,1.55470581,305.2660084 +11899,MN,178,4,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,102 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,O5,5,0,P,"FREUND, FREUND & COIN",2565,11720,11720,0,8400,3320,0,0,0,0,2,1,5,0,5,25.67,100.33,25,95,E,2,Y,5,2,137250,844200,0,0,1915,1990,0,Tribeca East Historic District, ,4.57,6.02,6,6.5,1,1001780004,0,33,982724,201078,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,264.8272184,2745.724278,706950,14,1,11898,11900,12,2700,9.793333054,16.46777725,6.674444199,10.34953674,1.844718924,124.1944408 +11900,MN,589,45,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,7 CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,C5,2,0, ,DISCOVERY,4212,16420,3159,13261,0,3159,0,0,0,0,2,1,5,22,24,43,100,43,84, ,3,Y,5,2,508500,3826800,0,0,1900,0,0,Greenwich Village Historic District Exte, ,3.9,3.44,0,6.5,1,1005890045,0,67,983643,205474,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,289.1000419,4272.948269,3318300,9,0,11899,11901,21,4725,15.87222195,15.87222195,0,15.87222195,0,333.3166609 +11901,MN,76,23,101,15.02,2000,2,1,10038,E006,1,15,7700,1,1,1B,38 GOLD STREET,C6-4, , , , , ,LM, , , ,N,Z9, ,0, ,HAROLD THURMAN,1368,0,0,0,0,0,0,0,0,0,7,1,0,0,0,24.42,58,0,0, ,0,Y,3,5,108900,130950,0,0,1920,0,0, , ,0,10,10,10,1,1000760023,0,1502,982621,197447,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,169.3541264,1451.364728,22050,4,0,11900,11902,9,2025,23.5,30.38333321,6.883333206,26.44074016,2.638143692,237.9666615 +11902,MN,495,37,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,223 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,S1,4,0,P,ERNOLD INDUSTRIES INC,1854,3700,1850,1850,0,1850,0,0,0,0,2,1,2,1,2,25,74.17,25.17,74, ,0,N,5,5,49439,278553,0,0,1900,1998,2014, , ,2,6.02,6,6.5,1,1004950037,0,43,985273,202472,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,203.3283159,1931.742362,229114,0,0,11901,11903,8,1800,37.57110977,37.57110977,0,37.57110977,0,300.5688782 +11903,MN,754,51,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,320 WEST 31 STREET,C6-3X, , , , , , , , , ,N,W3,8,0,P,OVERTIME PROPERTIES L,25912,116000,116000,0,0,0,0,0,0,116000,2,1,4,0,1,262.5,98,254,96, ,3,N,5,2,3323250,11305800,0,0,1953,0,0, , ,4.48,9,6,9,1,1007540051,0,103,985360,212713,8d, ,105S019,10304,E-137,0, ,1, , ,17V1.1,0,737.1050756,27822.9075,7982550,6,0,11902,11904,125,28125,31.94000053,35.01666641,3.076665878,33.67497047,0.287072606,4209.371309 +11904,MN,595,14,101,39,1002,2,1,10013,L008,1,15,7700,1,1,3B,528 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,13 E 30 LLC,2400,4800,800,4000,0,800,0,0,0,0,2,1,4,3,4,40,60,20,58, ,3,N,5,5,309843,422714,0,0,1905,0,0, , ,2,6.02,6,6.5,1,1005950014,0,39,981401,203374,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,206.8435706,2589.859424,112871,0,1,11903,11905,11,2475,7.809999943,8.521110535,0.711110592,8.041616006,0.272433071,88.45777607 +11905,MN,638,19,102,75,2001,2,3,10014,L005,6,15,6400,1,2,3Q,720 WEST 11 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,X,WVH HOUSIG DEVELOPMEN,39334,118350,0,118350,0,0,0,0,0,0,2,10,5,100,100,196.58,258.5,44,46, ,0,Y,3,2,1800000,4257900,1800000,4257900,1939,0,0, , ,3.01,4,2,4,1,1006380019,0,75,981803,207358,12a, ,103 013,10210, ,0, ,1, ,1,17V1.1,0,889.4867033,39710.97815,2457900,9,1,11904,11906,179,40275,8.63999939,16.78444481,8.144445419,10.72694234,1.810222856,1920.122679 +11906,MN,889,29,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,153 EAST 33 STREET,R8B, , , , , , , , , ,N,S3,4,0, ,153 EAST 33RD ST FAMI,1679,3426,600,2826,0,600,0,0,0,0,2,2,4,3,4,17,98.75,17,59,E,3,N,5,5,169277,394141,0,0,1910,1988,0, , ,2.04,4,0,4,1,1008890029,0,72,989957,210933,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,235.9539892,1747.024631,224864,10,0,11905,11907,8,1800,24.63888931,29.29444504,4.655555725,25.8073616,1.654425698,206.4588928 +11907,MN,293,7501,103,16,3003,2,1,10002,L006,5,14,7400,1,3, ,18 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,RM,4,0, ,18 CONSTRUCTION LLC,2188,11583,4414,7169,0,4414,0,0,0,0,2,1,6,10,12,25.08,87.5,25,88,E,3,N,0,5,80550,1257304,0,224378,2007,0,0, , ,5.29,3.44,6,6.5,1,1002937501,1877,16,986077,199711,12d, ,11S 030,10107, ,1002930006,5/8/2008,1, , ,17V1.1,7,233.4151615,2244.358601,1176750,16,0,11906,11908,9,2025,38.23899841,41.23199844,2.993000031,40.75020938,0.897631785,366.7518845 +11908,MN,790,39,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,545 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,S4,4,0, ,545 AVENUE OF THE AM,2000,5720,1760,3960,0,1760,0,0,0,0,2,1,4,4,5,20,100,20,88,E,3,N,5,5,96280,588694,0,0,1901,0,0, , ,2.86,6.02,6,6.5,1,1007900039,0,81,985138,208142,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,242.4803336,1941.731384,492414,7,0,11907,11909,9,2025,27.73777771,27.73777771,0,27.73777771,0,249.6399994 +11909,MN,744,34,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,305 WEST 20 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,WEXLER ELLEN,2300,5600,0,5600,0,0,0,0,0,0,2,2,4,7,7,25,92,25,40, ,0,N,5,5,31624,325249,2360,2360,1850,1985,0, , ,2.43,3,0,3,1,1007440034,0,89,984185,210270,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,240.6588609,2543.055943,293625,7,0,11908,11910,12,2700,15.84222221,17.46299934,1.62077713,15.97728697,0.447959134,191.7274437 +11910,MN,962,97,106,62,1001,2,4,10016,E016,13,14,6000,1,6,2A,400 EAST 30 STREET,C6-2, , , , , , , , , ,N,N2,8,0,C,NYC HHC,80000,480000,480000,0,0,0,0,0,0,480000,2,1,9,0,1,197,399,0,0, ,0,Y,5,5,13680000,48224700,13680000,48224700,1931,0,0, , ,6,6.02,6,6.5,1,1009620097,0,62,991244,209104,8d, ,104 025,10310, ,1009620100,12/29/2006,1, ,1,17V1.1,0,1225.076789,81954.29331,34544700,10,1,11909,11911,365,82125,8.653333664,25.50555611,16.85222244,12.51960203,5.880625546,4569.654739 +11911,MN,528,7503,102,67,2003,2,3,10014,E024,6,15,6400,1,2, ,42 DOWNING STREET,R6, , , , , , , , , ,N,R6,2,0, ,OWNER / AGENT,2993,6850,0,6850,0,0,0,0,0,0,2,1,2,2,2,29.17,106.42,29.17,90, ,0,Y,5,5,39555,231706,0,0,1920,1987,0,Greenwich Village Historic District Exte, ,2.29,2.43,0,4.8,1,1005287503,661,67,983115,204872,12a, ,103 003,10206, ,1005280034,11/29/1989,1, , ,17V1.1,7,263.170226,2938.132714,192151,9,0,11910,11912,12,2700,15.38333321,15.38333321,0,15.38333321,0,184.5999985 +11912,MN,309,21,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,53 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,CHOICE ASSOCIATES LLC,2188,8370,1500,6870,0,750,0,0,0,750,2,1,5,16,18,25,87.5,25,75, ,3,N,5,2,148500,616050,0,0,1910,0,0, , ,3.83,6.02,6,6.5,1,1003090021,0,16,986918,200375,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,231.8062417,2295.245753,467550,13,0,11911,11913,10,2250,34.44444275,34.44444275,0,34.44444275,0,344.4444275 +11913,MN,455,28,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,340 EAST 14 STREET,C1-6A, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,2323,6768,6768,0,0,0,0,0,0,6768,2,1,3,0,1,25,103.25,25,94, ,3,N,5,0,176400,416250,176400,416250,1920,1989,0, , ,2.91,4,2,4,1,1004550028,0,40,988832,205749,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,259.9808946,2683.651948,239850,12,0,11912,11914,12,2700,22.17099953,25.38999939,3.218999863,22.88649019,1.245937547,274.6378822 +11914,MN,615,60,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,331 WEST 4 STREET,C1-6,R6, , , , , , , , ,Y,S2,4,0, ,331 WEST 4TH STREET C,1210,2618,1210,1408,0,1210,0,0,0,0,2,1,3,2,3,22,55,22,36,E,2,Y,3,2,52020,130221,0,0,1910,0,0,Greenwich Village Historic District, ,2.16,3.44,2,6.5,1,1006150060,0,77,983228,208163,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,154.8941274,1243.087686,78201,8,0,11913,11915,8,1800,21.74111176,23.18222237,1.441110611,22.12763929,0.5363884,177.0211143 +11915,MN,430,10,103,30.02,2000,1,2,10009,E028,9,14,6600,1,3,3A,112 EAST 3 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,D6,4,0,O,NYC HOUSING AUTHORITY,53562,101908,9975,91933,0,9975,0,0,0,0,2,10,4,246,262,459,185.25,66,54, ,0,N,3,2,1800000,10616400,1800000,10616400,1920,0,0, ,FIRST HOUSES,1.9,4,0,4,1,1004300010,0,3002,988079,202952,12c, ,102 011,10205, ,0, ,1, , 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,17V1.1,0,252.823335,2055.347072,418596,9,0,11916,11918,8,1800,21.61499977,25.61499977,4,22.57229137,1.660276383,180.578331 +11918,MN,846,41,105,52,1003,2,2,10003,E014,13,15,5700,1,5,1O,220 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D7,4,0,P,"PARK AVENUE SOUTH, LL",3301,33638,3287,30351,0,3287,0,0,0,0,2,1,9,37,38,42,78.58,42,76, ,2,N,3,2,1071000,4760100,0,0,1900,1987,0, , ,10.19,10,10,10,1,1008460041,0,52,987314,207838,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,255.9019134,3742.21638,3689100,7,0,11917,11919,17,3825,39.61000061,41.51599884,1.90599823,41.24222138,0.608949974,701.1177635 +11919,MN,378,1,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,126 AVENUE C,R8B,R7A, , ,C1-5, , , , , ,Y,Y2,8,0,O,NYC HOUSING AUTHORITY,31070,120040,120040,0,0,0,32870,0,0,87170,2,1,5,0,1,70.5,183,0,0, ,0,Y,3,5,1966500,15893550,1966500,15893550,2000,0,0, , ,3.86,4,0,4,1,1003780001,0,2602,990439,203269,12c, ,102 023,10202, ,1003780001,12/12/2000,1,1,1,17V1.1,0,964.8710674,32505.36891,13927100,12,1,11918,11920,144,32400,7.409999847,8.796667099,1.386667252,7.453918076,0.208188953,1073.364203 +11920,MN,623,56,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,283 WEST 11 STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,"SPACE RS PROPERTIES,",2500,11260,1600,9660,1600,0,0,0,0,0,2,1,5,10,11,25,100,25,80, ,3,N,5,1,225000,1602900,0,0,1910,0,0,Greenwich Village Historic District, ,4.5,3.44,2,6.5,1,1006230056,0,77,982897,207498,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,252.7423243,2667.595936,1377900,8,0,11919,11921,12,2700,22.60333252,22.60333252,0,22.60333252,0,271.2399902 +11921,MN,801,24,104,91,1000,2,3,10001,E001,13,15,5200,1,4,2A,119 WEST 25 STREET,M1-6, , , , , , , , , ,N,O3,5,0, ,AFIAA 125 WEST 25TH S,9875,113062,113062,0,103162,9900,0,0,0,0,2,1,12,0,13,100,98.75,100,99, ,3,N,5,2,1498500,14962269,0,0,1906,1989,2016, , ,11.45,0,10,10,1,1008010024,0,91,986256,210629,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,404.9899634,10244.20744,13463800,2,0,11920,11922,46,10350,32.50999832,34.86722183,2.357223511,32.56124231,0.343755131,1497.817146 +11922,MN,890,46,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,516 3 AVENUE,C1-9, , , , , , , , , ,N,K1,5,0, ,HYUNAE LLC,2188,2187,2187,0,0,2187,0,0,0,0,2,1,1,0,2,25,87.5,25,83, ,3,N,5,2,400500,637650,0,0,1910,0,0, , ,1,10,2,10,1,1008900046,0,72,990308,211150,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,233.1968975,2332.90057,237150,10,0,11921,11923,10,2250,36.30111313,37.79100037,1.489887238,37.64201164,0.446966171,376.4201164 +11923,MN,575,16,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,78 WEST 12 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"ZACHELA HOLDINGS, LLC",2056,5100,0,3825,0,0,0,0,0,0,2,1,3,3,3,19.92,103.25,19.92,78, ,3,N,5,1,83147,244478,0,0,1843,0,0,Greenwich Village Historic District, ,2.48,2.43,0,4.8,1,1005750016,0,63,984983,207270,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,249.0801751,1922.483166,161331,8,0,11922,11924,8,1800,24.42399979,24.81888771,0.394887924,24.47336078,0.130596905,195.7868862 +11924,MN,136,28,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,108 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,K1,5,0, ,108 CHAMBERS STREET O,1963,1963,1963,0,0,1963,0,0,0,0,2,1,1,0,4,26,74.75,25,73, ,2,N,3,2,301500,346500,0,0,1930,2016,2016, , ,1,7.52,6,7.5,1,1001360028,0,21,981963,199714,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,210.0397078,2188.214771,45000,3,0,11923,11925,10,2250,25.24200058,25.24200058,0,25.24200058,0,252.4200058 +11925,MN,846,16,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,21 EAST 17 STREET,M1-5M, , , , , , , , , ,N,L8,6,0, ,"77 NY @ 17TH ST., LLC",2250,10529,10529,0,0,2100,0,0,8429,0,2,1,5,0,5,25,89.92,25,97,E,1,Y,5,2,450000,2219850,0,0,1915,0,0,Ladies' Mile Historic District, ,4.68,0,5,6.5,1,1008460016,0,52,986800,207985,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,247.2194289,2520.014405,1769850,7,0,11924,11926,10,2250,39.36555481,39.36555481,0,39.36555481,0,393.6555481 +11926,MN,744,21,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,331 WEST 20 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,331 WEST 20 STREET LL,2277,4854,0,4854,0,0,0,0,0,0,2,2,4,2,2,24.75,92,25,41, ,3,N,5,2,67603,248520,0,0,1900,1976,1998,Chelsea Historic District, ,2.13,3,0,3,1,1007440021,0,89,983923,210415,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,236.0634499,2329.713384,180917,7,0,11925,11927,10,2250,15.84222221,20.08222198,4.239999771,17.40133324,1.616930681,174.0133324 +11927,MN,164,13,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,54 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,TAT WING CORP.,4403,19860,3500,16360,0,3500,0,0,0,0,2,1,6,30,35,49.83,93.25,49.83,70.92, ,0,Y,5,2,217350,677700,0,0,1915,0,0, , ,4.51,3.44,6,6.5,1,1001640013,0,29,984437,199885,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,285.9346808,4595.871581,460350,14,0,11926,11928,21,4725,20.62111092,24.29500008,3.67388916,21.8455608,1.250382477,458.7567768 +11928,MN,888,41,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,478 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,A&R 478 REALTY LLC C/,2467,10773,2000,8773,0,2000,0,0,0,0,2,1,5,19,20,24.67,100.83,25,94, ,3,N,5,2,154800,802800,0,0,1910,0,0, , ,4.37,10,2,10,1,1008880041,0,72,990036,210668,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,258.0189709,2515.316783,648000,10,0,11927,11929,12,2700,24.35555458,24.78666687,0.431112289,24.3914806,0.119153142,292.6977673 +11929,MN,572,47,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,7 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,MORGAN BUILDERS INC,2348,8125,2325,5800,0,2325,0,0,0,0,2,1,5,8,9,25,93.92,25,58, ,3,N,5,2,275109,997272,0,0,1900,1985,0,Greenwich Village Historic District, ,3.46,3.44,3.4,6.5,1,1005720047,0,63,985106,206229,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,243.6390574,2375.251079,722163,8,0,11928,11930,10,2250,18.70499992,24.14999962,5.444999695,19.32218876,1.615656789,193.2218876 +11930,MN,448,38,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,335 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,125 2ND AVE REALTY CO,2271,9635,1775,7860,0,1775,0,0,0,0,2,1,5,18,19,25,90.83,25,76, ,3,N,5,2,178650,587250,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.24,4,0,4,1,1004480038,0,38,987908,204106,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,235.1974046,2229.379561,408600,1,0,11929,11931,10,2250,27.1590004,28.63222313,1.473222733,27.54172249,0.59011453,275.4172249 +11931,MN,885,77,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,122 EAST 30 STREET,C4-5A, , , , , , , , , ,N,B3,1,0, ,GARY KARRASS TRUST,1761,2992,0,2244,0,0,0,0,0,0,2,1,2,2,2,17.83,98.75,17.83,44,E,3,N,5,1,86086,149299,0,0,1901,0,0, , ,1.7,4,4,4,1,1008850077,0,72,989146,210321,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,240.8522302,1929.252172,63213,10,0,11930,11932,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +11932,MN,277,56,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,39 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,CHINESE UNITED METHOD,4638,12351,12351,0,0,0,0,0,0,12351,2,1,5,0,3,46.25,103,46,102,E,3,Y,3,2,422550,702000,422550,702000,1900,1985,0, , ,2.66,3.44,0,6.5,1,1002770056,0,8,985161,198770,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,305.757706,5036.458409,279450,16,0,11931,11933,23,5175,21.54689026,24.05555534,2.508665085,21.66245494,0.510212777,498.2364635 +11933,MN,468,7501,103,40,1001,1,2,10003,L003,9,14,6200,4,3, ,193 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,RM,4,0,P,193 SECOND AVE TENANT,5513,23558,1951,21607,0,1951,0,0,0,0,2,1,6,16,21,61.25,90,0,0, ,0,N,5,5,585001,3798450,14160,14160,1900,0,0, , ,4.27,4,0,4,1,1004687501,203,40,988099,205704,12c, ,102 026,10205, ,1004680042,11/26/1985,1, , ,17V1.1,7,305.9321004,5682.263304,3213450,12,0,11932,11934,26,5850,28.72333336,29.93888855,1.215555191,28.87676914,0.333351885,750.7959976 +11934,MN,774,84,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,292 8 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,RALRO RLTY CORP,1369,4681,1364,3317,0,1364,0,0,0,0,2,1,4,3,4,22,62,22,62,E,3,N,5,5,126399,292390,0,0,1910,0,0, , ,3.42,6.02,6,6.5,1,1007740084,0,91,984965,211177,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,174.8662452,1509.292921,165991,2,0,11933,11935,7,1575,22.55999947,24.85199928,2.291999817,24.52457074,0.802032863,171.6719952 +11935,MN,596,92,102,37,1009,2,3,10013,E024,1,15,6800,1,2,1B,319 SPRING STREET,M2-4, , , , , , , , , ,N,E9,6,2,P,UNITED PARCEL SERVICE,151425,479500,479500,0,9064,7950,0,462486,0,0,2,1,3,0,2,160.5,999.83,160,999.84, ,1,Y,1,2,4040550,16321950,0,0,1949,1990,0, , ,3.17,0,5,0,1,1005960092,0,37,981688,204315,12a, ,103 001,10208, ,0, ,1,1,1,17V1.1,0,2313.775596,155027.6856,12281400,0,1,11934,11936,687,154575,8.247777939,12.98666668,4.738888741,9.320575992,0.379297465,6403.235706 +11936,MN,928,7504,106,64,5000,2,2,10010,E005,13,14,5900,1,6, ,300 EAST 23 STREET,C1-9A, , , , , ,TA, , , ,N,RM,4,0, , ,9876,103830,10622,93208,0,10622,0,0,0,0,2,1,19,98,99,24.67,100,0,0, ,0,N,0,5,4445997,21731852,0,12535563,2008,0,0, , ,10.51,10,2,10,1,1009287504,2204,64,989580,207975,12c, ,104 009,10309, ,1009280054,7/12/2011,1, , ,17V1.1,7,404.3372906,10217.34259,17285900,11,0,11935,11937,46,10350,14.22500038,20.3777771,6.152776718,17.40627791,2.486515749,800.6887836 +11937,MN,372,31,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,316 EAST 3 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,"318 EAST ASSOCIATES,",5746,27496,0,27496,0,0,0,0,0,0,2,1,7,33,33,48.67,105.96,40,65, ,3,Y,5,2,517500,3600000,0,2798738,2012,0,0, , ,4.79,4,0,4,1,1003720031,0,2202,990092,201845,12c, ,102 014,10202,E-216,1003720031,12/14/2011,1, , ,17V1.1,0,353.3542325,5821.21388,3082500,1,1,11936,11938,26,5850,10.24333286,13.03000069,2.786667824,11.34123916,1.058308207,294.8722181 +11938,MN,901,26,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,345 2 AVENUE,R9A, , , ,C1-5, , , , , ,N,W3,8,0,X,LEARNINGSPRING SCHOOL,4898,35000,35000,0,0,0,0,0,0,35000,2,1,8,0,1,62,79,62,79, ,1,N,3,2,5275350,13042800,5275350,13042800,2009,2008,0, , ,7.15,7.52,0,7.52,1,1009010026,0,64,989115,207523,12c, ,102 047,10308, ,1009010026,2/25/2013,1, , ,17V1.1,0,293.1451161,5294.817921,7767450,5,0,11937,11939,23,5175,19.86555672,21.12333298,1.25777626,20.32154647,0.470515232,467.3955688 +11939,MN,633,24,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,738 GREENWICH STREET,C1-6A,R6, , , , , , , , ,Y,G1,10,0,X,WVH HOUSING DEVELOPME,10000,39628,39628,0,0,0,39628,0,0,0,2,1,4,0,1,76,92,76,92, ,2,Y,3,2,936000,3678750,936000,3678750,1931,1986,0,Greenwich Village Historic District, ,3.96,4,2,4,1,1006330024,0,75,982240,207117,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,401.4028922,10252.54971,2742750,9,0,11938,11940,46,10350,15.33111095,15.33111095,0,15.33111095,0,705.2311039 +11940,MN,904,12,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,219 EAST 23 STREET,C2-8A, , , , , , , , , ,N,C4,2,0,P,M & E 23RD STREET REA,2410,9715,1800,7915,0,1800,0,0,0,0,2,1,6,20,22,24.33,98.75,24,86, ,3,N,5,2,135000,2322000,0,0,1920,0,0, , ,4.03,10,2,10,1,1009040012,0,64,989256,208379,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,251.8131348,2501.287789,2187000,11,0,11939,11941,11,2475,21.18099976,22.44888878,1.267889023,21.29626239,0.364492467,234.2588863 +11941,MN,519,61,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,33 CHARLTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,"ESQUENAZI, CAROLINA",2025,4285,0,4285,0,0,0,0,0,0,2,1,3,3,3,20.17,100.42,20.17,56, ,3,N,5,2,19814,172376,0,0,1910,2008,2008,Charlton-King-Vandam Historic District, ,2.12,2.43,0,4.8,1,1005190061,0,37,982990,204247,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,242.3128245,2039.317416,152562,0,0,11940,11942,9,2025,16.83888817,21.9422226,5.103334427,19.35012309,2.27987957,174.1511078 +11942,MN,444,44,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,82 EAST 2 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,"82 EAST 2, LLC",629,1740,0,1305,0,0,0,0,0,0,2,1,3,1,1,29.58,21.25,29.58,21.25, ,3,N,5,1,16592,54450,0,0,1899,2012,0, , ,2.77,4,0,4,1,1004440044,0,3602,987456,203137,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,106.3508824,695.5396348,37858,1,0,11941,11943,3,675,30.95777702,34.37555695,3.417779922,32.12518501,1.591626647,96.37555504 +11943,MN,585,15,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,4 GROVE STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,"COURT, KATHRYN D",1000,1542,0,1542,0,0,0,0,0,0,2,1,2.5,1,1,20.33,49.17,20.33,30, ,2,N,5,2,40107,139345,0,0,1901,0,0,Greenwich Village Historic District, ,1.54,3.44,2,6.5,1,1005850015,0,73,982575,206056,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,144.5575215,1031.223516,99238,9,0,11942,11944,5,1125,19.35111046,19.35111046,0,19.35111046,0,96.75555229 +11944,MN,310,22,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,47 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,FROS PROPERTY LLC,2225,7842,2062,5780,2062,0,0,0,0,0,2,1,5,8,9,25.33,87.5,25,55, ,3,Y,5,1,35311,765450,0,0,1910,1989,2013, , ,3.52,6.02,6,6.5,1,1003100022,0,16,987137,200315,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,230.4120449,2258.671715,730139,13,0,11943,11945,10,2250,34.98799896,36.27244568,1.284446716,35.11644363,0.385334015,351.1644363 +11945,MN,498,26,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,99 SPRING STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,WEST SPRING STUDIO CO,1875,9655,9655,0,0,1609,0,8046,0,0,2,1,6,5,6,25,75,25,75,E,3,N,5,2,416250,1951200,0,0,1900,1989,0,SoHo-Cast Iron Historic District, ,5.15,0,5,6.5,1,1004980026,0,49,984442,202855,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,208.8019971,2048.794221,1534950,0,0,11944,11946,8,1800,29.75499916,29.75499916,0,29.75499916,0,238.0399933 +11946,MN,283,49,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,19 PIKE STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SUN WEI CHUNG INC,3910,18936,3500,15436,0,3500,0,0,0,0,2,1,6,20,27,46,85,45,84,E,3,N,3,2,265500,1390950,0,0,1910,0,0, , ,4.84,3.44,0,6.5,1,1002830049,0,6,986430,199172,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,274.7694551,4359.196262,1125450,16,0,11945,11947,21,4725,32.40222168,34.10800171,1.705780029,32.4834493,0.363260962,682.1524353 +11947,MN,426,31,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,191 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,C7,4,0,P,191 CHRYSTIE,6250,37500,12500,25000,12500,0,0,0,0,0,2,1,6,7,8,50,125,50,125, ,3,N,5,2,616232,1627158,0,0,1920,2006,2004, , ,6,7.52,6,7.5,1,1004260031,0,3601,986391,202319,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,364.2289151,6580.949507,1010930,13,0,11946,11948,29,6525,41.51444626,41.51444626,0,41.51444626,0,1203.918942 +11948,MN,300,33,103,16,3000,2,1,10002,L006,5,14,7400,1,3,1A,81 CANAL STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,PF EVERGREEN HOLDING,1396,6088,1396,4692,0,1396,0,0,0,0,2,1,5,7,8,28,50,28,50, ,3,N,5,2,183922,576579,0,0,1900,0,0, , ,4.36,3.44,6,6.5,1,1003000033,0,16,986194,199919,12d, ,101N050,10107, ,0, ,1, , ,17V1.1,0,162.8950818,1496.519743,392657,13,0,11947,11949,6,1350,39.09000015,39.09000015,0,39.09000015,0,234.5400009 +11949,MN,521,30,102,55.02,2009,2,1,10012,L009,9,15,5700,1,2,1G,308 MOTT STREET,C6-2,C6-3, , , , ,LI, , , ,Y,C6,2,0, ,NEW MOTT APARTMENT CO,3664,17626,0,17626,0,0,0,0,0,0,2,1,7,40,40,57.25,64,57,49, ,3,N,5,2,257400,1773900,12326,12326,1900,1986,0,Noho East Historic District, ,4.81,6.02,6,6.5,1,1005210030,0,5502,985974,203460,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,245.2161876,3741.764676,1516500,9,0,11948,11950,17,3825,43.89666748,43.93933487,0.042667389,43.92095476,0.009402674,746.6562309 +11950,MN,448,37,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,337 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,LEAS REALTY,2271,9438,0,9438,0,0,0,0,0,0,2,1,5,20,20,25,90.83,25,74, ,3,N,5,2,202500,1188900,0,0,1900,1978,0,East Village/Lower East Side Historic Di, ,4.16,4,0,4,1,1004480037,0,38,987930,204094,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,238.1400692,2369.477251,986400,1,0,11949,11951,10,2250,27.1590004,28.59777641,1.438776016,27.35668907,0.443715164,273.5668907 +11951,MN,690,40,104,99,1022,2,3,10011,E003,10,15,5500,1,4,1B,512 WEST 19 STREET,C6-2, , , , , ,WCH, , , ,N,J5,5,0,X,HALEAKALA INC,4600,16800,16800,0,8800,0,0,0,0,8000,2,1,4,0,1,50,92,50,92, ,3,N,5,0,436500,1115550,436500,1115550,1946,1989,0, , ,3.65,6.02,6,6.5,1,1006900040,0,99,982342,210839,8b, ,103 043,10301, ,0, ,1,1,1,17V1.1,0,283.7922801,4487.667332,679050,7,1,11950,11952,20,4500,6.974444389,6.974444389,0,6.974444389,0,139.4888878 +11952,MN,387,157,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,619 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,MARBEC REALTY LLC,4853,25200,0,25200,0,0,0,0,0,0,2,1,6,40,40,50,97,50,82, ,1,Y,5,2,427500,2258550,0,0,1900,1986,0, , ,5.19,4,0,4,1,1003870157,0,2601,989514,202928,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,298.0837319,4952.070625,1831050,1,1,11951,11953,21,4725,10.13000011,15.50111103,5.371110916,10.7431112,1.40433619,225.6053352 +11953,MN,348,55,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,177 RIVINGTON STREET,R7A, , , , , , , , , ,N,K1,5,0, ,RIV LLC,2826,3600,3600,0,0,3600,0,0,0,0,2,1,1,0,1,20,80,20,80, ,3,Y,5,2,266400,603900,0,0,1910,0,0, , ,1.27,4,0,4,1,1003480055,0,1402,988533,201107,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,309.6128879,3711.885554,337500,13,0,11952,11954,16,3600,23.08555603,23.08555603,0,23.08555603,0,369.3688965 +11954,MN,636,43,102,75,1003,2,3,10014,L005,6,15,6400,1,2,2B,398 WEST STREET,C1-6A, , , , , , , , , ,N,S3,4,0, ,CASPER R CALLEN TRUST,1610,3757,600,3157,0,600,0,0,0,0,2,2,3.5,3,4,22.25,78.08,22,78, ,3,Y,5,5,60066,137592,0,0,1900,0,0,Weehawken Street Historic District, ,2.33,4,2,4,1,1006360043,0,75,981520,206480,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,200.6280803,1662.07675,77526,9,1,11953,11955,7,1575,8.217333794,9.192000389,0.974666595,9.052762304,0.341062261,63.36933613 +11955,MN,275,3,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,72 HENRY STREET,C8-4, , , , , , , , , ,N,T9,7,0,C,SANITATION,32000,21010,21010,0,0,0,0,0,0,21010,7,3,0,0,3,129.92,200.17,0,0, ,1,Y,4,5,1570500,1570500,1570500,1570500,0,0,0, , ,0.66,0,5,6.5,1,1002750003,0,8,985998,198948,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,730.1822554,32132.5017,0,16,0,11954,11956,141,31725,31.43888855,35.6277771,4.18888855,33.35322164,0.576676898,4702.804251 +11956,MN,588,42,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,102 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,102 BEDFORD ST OWNERS,1100,4400,0,4400,0,0,0,0,0,0,2,1,3,10,10,22,50,22,49, ,2,N,5,2,133037,398425,0,0,1900,0,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1005880042,0,73,982735,206234,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,145.2250898,1098.840942,265388,9,0,11955,11957,6,1350,20.90555573,20.90555573,0,20.90555573,0,125.4333344 +11957,MN,432,7502,103,32,3000,1,2,10009,E028,9,14,6600,3,3, ,89 AVENUE A,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,4858,25073,4000,21073,0,4000,0,0,0,0,2,1,6,26,27,48.58,100,0,0, ,0,N,0,5,297000,3428100,0,0,1900,0,0, , ,5.16,4,0,4,1,1004327502,840,32,988593,203581,12c, ,102 011,10205, ,1004320028,5/27/2008,1, , ,17V1.1,7,304.2715642,5013.905592,3131100,1,0,11956,11958,23,5175,19.2677784,19.94000053,0.672222137,19.34830972,0.208649039,445.0111237 +11958,MN,588,4,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,88 BEDFORD STREET,R6, , , , , , , , , ,N,A4,1,0, ,BOTTLE TOWER INC.,1734,2130,0,2130,0,0,0,0,0,0,2,1,3.5,1,1,25.25,68.67,25.25,40,E,1,N,5,2,26364,156019,0,0,1899,2004,0,Greenwich Village Historic District, ,1.23,2.43,0,4.8,1,1005880004,0,73,982839,206020,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,190.4679309,1766.882675,129655,9,0,11957,11959,8,1800,18.94666672,18.94666672,0,18.94666672,0,151.5733337 +11959,MN,731,44,104,103,1001,2,3,10001,L021,10,15,5500,1,4,2B,421 9 AVENUE,C6-4, , , , , ,HY, , , ,N,K2,5,0, ,421 9TH AVE CORP,1580,2962,2962,0,0,2962,0,0,0,0,2,1,2,0,2,19.75,80,20,76,E,3,N,5,2,326250,712350,0,0,1937,0,0, , ,1.87,10,10,10,1,1007310044,0,103,985128,213678,8d, ,105S018,10302,E-137,0, ,1, , ,17V1.1,0,203.3624754,1644.721729,386100,6,0,11958,11960,8,1800,43.60599899,44.15133286,0.545333862,43.72149897,0.204344976,349.7719917 +11960,MN,775,1,104,91,2000,2,3,10001,E001,10,15,5200,1,4,2A,300 8 AVENUE,C6-2A, , , , , , , , , ,N,K9,5,0, ,CONCORD MANAGEMENT 21,2345,7035,7035,0,0,2345,0,4690,0,0,2,1,3,0,3,24.67,95,25,95, ,3,Y,3,2,276750,989550,0,0,1920,1989,0, , ,3,6.02,6,6.5,1,1007750001,0,91,985032,211265,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,248.9081034,2636.890834,712800,2,0,11959,11961,12,2700,26.32299995,26.32299995,0,26.32299995,0,315.8759995 +11961,MN,373,61,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,289 EAST 3 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,MONTE HERMAN CHRSTNET,1988,3611,3611,0,0,0,0,0,0,3611,2,1,3,0,1,20.67,96.17,21,50, ,3,N,5,0,115200,279000,115200,279000,1960,0,0, , ,1.82,4,0,4,1,1003730061,0,2601,989871,202154,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,239.9837765,2118.379586,163800,1,0,11960,11962,9,2025,13.10900021,15.15666676,2.04766655,13.59367911,0.650590832,122.343112 +11962,MN,174,5,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,79 LEONARD STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,TURTLE ISLAND CORP,5354,34932,16572,18360,0,0,0,16572,0,0,2,1,5,4,10,54,100.17,54,95,E,3,Y,5,1,667800,1500876,0,0,1910,1983,0,Tribeca East Historic District, ,6.52,6.02,6,6.5,1,1001740005,0,33,982889,200686,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,309.3383743,5403.308665,833076,14,0,11961,11963,24,5400,21.5755558,21.5755558,0,21.5755558,0,517.8133392 +11963,MN,753,16,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,339 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,339 W 29,2173,6578,0,6578,0,0,0,0,0,0,2,1,4.5,10,10,22,98.75,22,70,E,2,N,5,1,101927,475341,0,0,1900,2005,0,Lamartine Place Historic District, ,3.03,4,0,4,1,1007530016,0,97,984984,212511,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,247.8732557,2162.272109,373414,6,0,11962,11964,9,2025,28.20800018,34.1222229,5.914222717,30.10027186,2.683087614,270.9024467 +11964,MN,632,29,102,75,1000,2,3,10014,L005,6,15,6400,1,2,2K,129 CHARLES STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,CHARLES REALTY ASSOCI,2502,6991,0,6991,0,0,0,0,0,0,2,1,4,1,1,25.75,97.25,25.75,50, ,0,Y,5,2,443501,686662,0,0,1910,1983,2013,Greenwich Village Historic District Exte, ,2.79,4,2,4,1,1006320029,0,75,982151,206852,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,249.0126143,2465.037423,243161,9,0,11963,11965,9,2025,15.84700012,15.84700012,0,15.84700012,0,142.6230011 +11965,MN,43,5,101,7,1010,2,1,10005,E004,1,15,7700,1,1, ,30 WALL STREET,C5-5, , , , , ,LM, , , ,N,O3,5,0,P,30 WALL STREET HOLDIN,11400,108663,108663,0,108663,0,0,0,0,0,2,1,12,0,21,86.67,194.49,87,103, ,2,Y,4,2,3154500,11953800,0,0,1919,1954,0, , ,9.53,10,15,15,1,1000430005,0,7,981450,196891,12b, ,101S011,10101, ,0, ,1, , ,17V1.1,0,562.0753911,10574.47964,8799300,17,0,11964,11966,47,10575,24.24699974,26.4829998,2.236000061,26.19587212,0.722888832,1231.20599 +11966,MN,207,13,102,41,5005,2,1,10013,L006,5,15,6800,1,2,1F,200 HESTER STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,MCWELL PROPERTIES LLC,1112,5560,1000,4560,0,1000,0,0,0,0,2,1,5,8,9,24,46.33,23,46, ,3,N,3,2,31517,159283,0,0,1900,0,0, , ,5,0,5,6.5,1,1002070013,0,41,984542,200996,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,148.4616563,1261.246078,127766,0,0,11965,11967,6,1350,18.94599915,20.26555634,1.31955719,19.16592534,0.491769929,114.9955521 +11967,MN,454,60,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,321 EAST 12 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,315 321 APT CORP,5163,21178,0,21178,0,0,0,0,0,0,2,1,6,36,36,50,103.25,50,87, ,3,N,5,1,450000,1361700,30680,30680,1920,1986,0, , ,4.1,4,0,4,1,1004540060,0,40,988461,205528,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,313.6080465,5325.794709,911700,12,0,11966,11968,23,5175,22.37666702,22.37666702,0,22.37666702,0,514.6633415 +11968,MN,405,17,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,518 EAST 12 STREET,R8B, , , , , , , , , ,N,D9,3,0,P,EAST-VILLE REALTY CO.,5163,31500,0,31500,0,0,0,0,0,0,2,1,7,41,41,50,103.25,50,91, ,2,N,5,2,270000,2417850,0,0,1930,1988,0, , ,6.1,4,0,4,1,1004050017,0,34,989681,204670,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,314.0748376,5363.046321,2147850,12,0,11967,11969,22,4950,13.81444454,14.78444481,0.970000267,13.87797993,0.216908689,305.3155584 +11969,MN,925,141,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,352 EAST 20 STREET,C1-6A, , , , , , , , , ,N,S3,4,0, ,352 EAST 20TH STREET,638,2528,528,2000,0,528,0,0,0,0,2,1,4,3,4,27.75,23,28,23, ,2,N,5,5,115241,258333,0,0,1910,0,0, , ,3.96,4,2,4,1,1009250141,0,64,989701,207086,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,110.4011365,756.0147784,143092,5,0,11968,11970,3,675,15.27999973,15.31555557,0.03555584,15.29185168,0.016761183,45.87555504 +11970,MN,480,36,102,41,6003,2,1,10012,E055,5,15,6800,1,2,1F,179 MOTT STREET,C6-1,C6-2G, , , , ,LI, , , ,Y,S3,4,0, ,SIMON CHOON & XIAO LI,1250,4716,590,4126,0,590,0,0,0,0,2,1,4,3,4,25.08,50,25,50, ,3,N,5,5,81609,298045,0,0,1900,1979,0, , ,3.77,3.44,6,6.5,1,1004800036,0,41,985346,201814,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,156.7987431,1363.302435,216436,0,0,11969,11971,7,1575,33.11000061,34.0039978,0.893997192,33.2377145,0.31283385,232.6640015 +11971,MN,897,43,106,48,3000,2,2,10003,E005,13,14,5900,1,6,1A,171 3 AVENUE,C1-9A, , , , , , , , , ,N,S2,4,0, ,3 AVENUE PALACE LLC,1080,2220,710,1510,0,710,0,0,0,0,2,1,3,2,3,18,60,18,40, ,3,N,5,5,61853,104842,0,0,1910,0,0,Stuyvesant Square Historic District, ,2.06,10,2,10,1,1008970043,0,48,988179,206952,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,162.0753478,1168.565149,42989,5,0,11970,11972,6,1350,25.1044445,25.1044445,0,25.1044445,0,150.626667 +11972,MN,438,48,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4A,259 EAST 10 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,259 E.10TH ST RLTY AS,2369,9807,1000,8807,0,1000,0,0,0,0,2,1,5,18,20,25,94.75,25,80, ,3,N,5,2,183150,1093050,0,0,1900,1987,0, , ,4.14,4,0,4,1,1004380048,0,34,988843,204721,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,249.2598729,2484.022599,909900,12,0,11971,11973,10,2250,17.98900032,17.98900032,0,17.98900032,0,179.8900032 +11973,MN,857,1,105,56,1001,2,2,10016,E001,13,15,5700,1,5,1B,233 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,"GGR HOLDINGS, LLC",2800,14928,14928,0,8958,5970,0,0,0,0,2,1,5,0,5,28,100,28,100, ,3,N,3,2,598500,1539000,0,0,1920,1989,0,Madison Square North Historic District, ,5.33,10,10,10,1,1008570001,0,56,987749,210348,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,273.0069568,3230.554775,940500,11,0,11972,11974,14,3150,36.04399872,40.11444473,4.070446014,36.33474486,1.04830013,508.6864281 +11974,MN,819,27,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,17 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,17 WEST 17TH STREET E,4876,51102,32658,18444,27881,4777,0,0,0,0,2,1,11,6,11,53,92,53,89, ,3,N,5,2,630000,4662000,0,0,1915,2006,2009,Ladies' Mile Historic District, ,10.48,10,10,10,1,1008190027,0,54,986127,208355,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,304.2030581,5268.399113,4032000,7,0,11973,11975,23,5175,32.36888886,32.36888886,0,32.36888886,0,744.4844437 +11975,MN,416,25,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,161 ALLEN STREET,C4-4A, , , , , , , , , ,N,D7,4,0,P,EL CARIBE HOUSING DEV,2200,11864,1695,10169,0,1695,0,0,0,0,2,1,7,13,14,25,88,25,76, ,0,N,5,2,62100,332550,55890,299295,1900,1998,0, , ,5.39,4,4,4,1,1004160025,0,3601,987072,202009,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,233.3414958,2340.295835,270450,13,0,11974,11976,11,2475,35.94111252,39.71666718,3.775554657,37.77383908,1.244851306,415.5122299 +11976,MN,642,55,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,830 GREENWICH STREET,R6, , , , , , , , , ,N,C3,2,0, ,"MARKS, MATTHEW",1584,5016,0,5016,0,0,0,0,0,0,2,1,3,4,4,22,72.42,20,65,E,2,Y,3,5,220423,370116,0,0,1905,1966,0,Greenwich Village Historic District, ,3.17,2.43,0,4.8,1,1006420055,0,79,982397,208391,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,192.2608811,1727.020654,149693,8,1,11975,11977,5,1125,10.79777813,10.79777813,0,10.79777813,0,53.98889065 +11977,MN,353,24,103,18,3000,1,1,10002,L018,7,14,7400,1,3,2A,129 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0,P,ASIAN AMERICAN HOUSIN,3000,14497,2000,12497,0,2000,0,0,0,0,2,1,6,15,19,60,50,53,50,E,0,N,3,5,135000,554400,113400,465696,1930,1991,0, , ,4.83,4,0,4,1,1003530024,0,18,987856,201411,12c, ,101N079,10201, ,0, ,1, , ,17V1.1,0,229.3257424,3261.513032,419400,13,0,11976,11978,15,3375,29.00666618,29.77111053,0.764444351,29.0936292,0.225468055,436.404438 +11978,MN,621,35,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,371 BLEECKER STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,BLEEKER 373 OWNERS CO,2347,9270,1854,7416,0,1854,0,0,0,0,2,1,5,13,15,37.75,61.83,38,48, ,3,Y,5,2,241200,1432800,4720,4720,1910,1985,2015,Greenwich Village Historic District, ,3.95,3.44,2,6.5,1,1006210035,0,73,982967,207034,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,206.42794,2491.952103,1191600,8,0,11977,11979,11,2475,24.81222343,25.60755539,0.795331955,24.89513224,0.22774608,273.8464546 +11979,MN,720,69,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,444 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,444 W.23 ST.TENANTS C,2469,6975,0,6975,0,0,0,0,0,0,2,1,6,5,5,25,98.75,25,53, ,3,N,5,2,141125,599781,0,0,1900,1981,0,Chelsea Historic District Extension, ,2.83,3,0,3,1,1007200069,0,93,983365,211419,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,254.351094,2540.097657,458656,2,1,11978,11980,10,2250,9.369999886,9.694444656,0.324444771,9.402444363,0.097333431,94.02444363 +11980,MN,871,30,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,133 EAST 15 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,13315 OWNERS CORP C/O,2581,9535,0,9535,0,0,0,0,0,0,2,1,4,15,15,25,103.25,25,65,E,3,N,5,1,116100,1220400,4720,4720,1900,1986,0, , ,3.69,4,0,4,1,1008710030,0,50,987711,206903,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,266.9800922,2800.359319,1104300,5,0,11979,11981,13,2925,33.78900146,33.78900146,0,33.78900146,0,439.257019 +11981,MN,690,7502,104,99,1022,2,3,10011,E003,10,15,5500,1,4, ,524 WEST 19 STREET,C6-2,C6-3, , , , ,WCH, , , ,Y,RM,4,0, , ,4600,25528,3537,21991,0,3537,0,0,0,0,2,1,11,8,9,50,92,50,63, ,0,N,1,5,137000,2669259,0,955337,2008,0,0, , ,5.55,6.02,6,6.5,1,1006907502,2057,99,982210,210913,8b, ,103 043,10301, ,1006900046,12/1/2009,1,1,1,17V1.1,7,291.2558638,4869.638916,2532260,7,1,11980,11982,23,5175,6.974444389,6.974444389,0,6.974444389,0,160.412221 +11982,MN,392,6,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,153 AVENUE B,R7A, , , , , , , , , ,N,C2,2,0, ,153 AVE. B INC.,1633,6440,0,6440,0,0,0,0,0,0,2,1,4,5,5,23,71,23,54, ,3,N,5,5,14793,93828,0,0,1900,1984,0, , ,3.94,4,0,4,1,1003920006,0,28,989833,203986,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,190.9360915,1668.827881,79035,12,1,11981,11983,6,1350,7.576999664,7.576999664,0,7.576999664,0,45.46199799 +11983,MN,722,3,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,246 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,C7,4,0, ,5002 SECOND AVENUE LL,2467,10635,2150,8485,0,2150,0,0,0,0,2,1,6,8,9,24.67,100,25,86, ,3,N,5,2,150400,955783,0,0,1910,2003,1999, , ,4.31,3,0,3,1,1007220003,0,93,983359,211955,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,253.9560109,2547.740529,805383,2,1,11982,11984,11,2475,10.68099976,11.24122238,0.560222626,10.73192909,0.161052681,118.0512199 +11984,MN,415,77,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,119 ORCHARD STREET,C6-2A, , , , , , , , , ,N,H9,5,0, ,"119 ORCHARD PROPERTY,",1824,16579,554,4182,554,0,0,0,0,0,2,1,10,4,6,20.83,87.58,20.83,87.58, ,3,N,4,2,480150,1823068,0,0,2012,0,0, , ,9.09,6.02,6,6.5,1,1004150077,0,18,987073,201391,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,226.3178084,1954.933123,1342920,13,0,11983,11985,10,2250,37.4659996,38.17222214,0.706222534,37.5451107,0.210563686,375.451107 +11985,MN,179,7501,101,33,3019,2,1,10013,E007,1,15,7700,3,1, ,19 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, ,19-21 LEONARD STREET,4500,14368,0,14368,0,0,0,0,0,0,2,1,4,7,7,0.1,90,0,0, ,0,N,5,5,141811,965779,0,0,1920,0,0,Tribeca West Historic District, ,3.19,6.02,6,6.5,1,1001797501,982,33,982119,201143,12a, ,101S035,10105, ,1001790048,11/26/1997,1, , ,17V1.1,7,289.2639891,4767.241711,823968,14,1,11984,11986,21,4725,10.17444515,10.17444515,0,10.17444515,0,213.6633482 +11986,MN,107,7502,101,15.01,3013,2,1,10038,E006,1,15,7700,1,1, ,273 WATER STREET,C6-2A, , , , , ,LM, , , ,N,R1,2,0, ,273 WATER ST CONDONIU,1800,5600,0,5600,0,0,0,0,0,0,2,1,4,4,4,24,73,24.5,73, ,0,Y,0,5,65049,832075,2360,2360,1900,0,0,South Street Seaport Historic District, ,3.11,6.02,6,6.5,1,1001077502,1039,1501,983957,197404,12b,Y,101S 023,10103, ,1001070048,12/18/1998,1,1,1,17V1.1,7,198.5022072,1824.133577,767026,4,1,11985,11987,8,1800,6.215000153,7.763888836,1.548888683,6.408611238,0.512246783,51.2688899 +11987,MN,355,51,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,249 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C3,2,0, ,249 EAST HOUSTON STRE,1406,2799,0,2799,0,0,0,0,0,0,2,1,3,4,4,18.75,75,19,48, ,3,N,5,5,35423,52127,0,0,1900,0,0, , ,1.99,6,0,6,1,1003550051,0,3001,988294,202197,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,194.0854509,1447.016863,16704,1,0,11986,11988,7,1575,23.94333458,23.94333458,0,23.94333458,0,167.6033421 +11988,MN,792,7501,104,81,1001,2,3,10011,L012,13,15,5600,1,4, ,135 WEST 16 STREET,R8A, , , , , , , , , ,N,R4,3,0, ,135 CONDOMINIUM,9200,31046,0,31046,0,0,0,0,0,0,2,1,6,48,48,100,92,0,0, ,0,N,5,5,711913,3913201,45427,76341,1918,0,0, , ,3.37,6,0,6,1,1007927501,157,81,984992,208706,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,7,382.0030318,9114.212334,3201290,7,0,11987,11989,41,9225,27.66555595,30.96777725,3.302221298,27.79221177,0.580613166,1139.480682 +11989,MN,800,71,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,158 WEST 25 STREET,M1-6, , , , , , , , , ,N,H3,5,0, ,CHELSEA GRAND WEST LL,5431,55916,0,0,0,0,0,0,0,0,2,1,21,0,1,55,98.75,55,52, ,2,N,5,2,3195000,17853750,0,0,2001,0,0, , ,10.3,0,10,10,1,1008000071,0,91,985849,210676,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,310.3559018,5434.682654,14658800,2,0,11988,11990,24,5400,33.27444458,38.15333557,4.878890991,34.7731994,2.009621585,834.5567856 +11990,MN,406,36,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,202 AVENUE B,R7A, , , ,C1-5, , , , , ,N,W8,8,0, ,BASILIO SCIENTIFIC ET,1100,1778,1778,0,0,1778,0,0,0,0,2,1,2,0,2,18.33,60,18,58, ,2,N,5,0,66600,196650,0,0,1900,1989,0, , ,1.62,4,0,4,1,1004060036,0,34,990064,204656,12c, ,102 029,10203,E-216,0, ,1, , ,17V1.1,0,164.8833401,1178.359628,130050,12,1,11989,11991,4,900,11.35888863,11.35888863,0,11.35888863,0,45.4355545 +11991,MN,394,2,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,177 AVENUE B,R7A, , , ,C1-5, , , , , ,N,D1,3,0,P,177 AVENUE B ASSOCIAT,1828,7724,0,7724,0,0,0,0,0,0,2,1,6,10,10,25.75,71,25,42, ,0,N,5,5,443507,1073088,0,0,2003,0,0, , ,4.23,4,0,4,1,1003940002,0,28,990029,204341,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,196.115209,1865.227153,629581,12,1,11990,11992,8,1800,9.237999916,9.237999916,0,9.237999916,0,73.90399933 +11992,MN,516,7,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,140 THOMPSON STREET,R7-2,M1-5A, , , , , , , , ,Y,D0,3,0, ,WEST BROADWAY ARCHES,15322,86018,4500,81518,0,4500,0,0,0,0,2,1,6,30,33,111.33,172.42,111,170,E,3,Y,4,2,994500,8950500,23600,23600,1903,1978,0,SoHo-Cast Iron Historic District Extensi, ,5.61,3.44,0,6.5,1,1005160007,0,49,984046,204017,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,572.5612524,15625.65784,7956000,9,0,11991,11993,70,15750,17.67111206,20.79000092,3.118888855,17.76259774,0.492588114,1243.381842 +11993,MN,574,21,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,46 WEST 11 STREET,R6, , , , , , , , , ,N,S2,4,0, ,PENN JACKSON CORPORA,2061,4932,1281,3651,1281,0,0,0,0,0,2,1,3,2,3,21.75,94.75,21.75,55, ,3,N,5,5,114690,281344,0,0,1899,0,0,Greenwich Village Historic District, ,2.39,2.43,0,4.8,1,1005740021,0,63,985094,206911,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,238.7809817,2180.064778,166654,8,0,11992,11994,9,2025,24.04277802,25.89999962,1.857221603,24.46148109,0.607920852,220.1533298 +11994,MN,223,7501,101,39,1012,2,1,10013,L008,1,15,7700,3,1, ,448 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,1664,7396,0,7396,0,0,0,0,0,0,2,1,6,6,6,20.83,80,20,80, ,0,N,5,5,79308,758595,0,0,1909,2000,0,Tribeca North Historic District, ,4.44,6.02,6,6.5,1,1002237501,1347,39,981522,202760,12a, ,11N 040,10105, ,1002230030,2/27/2004,1, , ,17V1.1,7,206.8759876,1742.859603,679287,0,1,11993,11995,10,2250,9.881999969,11.71355534,1.831555367,10.23511105,0.601488956,102.3511105 +11995,MN,482,26,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,220 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,220 LAFAYETTE OWNERS,1879,4950,4950,0,2720,1500,0,730,0,0,2,1,3,0,4,25,75.17,25,75, ,3,N,5,2,105300,495450,0,0,1960,2011,0, , ,2.63,0,5,6.5,1,1004820026,0,45,984887,202332,12c, ,101N073,10206, ,1004820026,2/6/1990,1, , ,17V1.1,0,210.7554675,2019.341813,390150,0,0,11994,11996,9,2025,30.94300079,33.06977844,2.126777649,31.17930942,0.668381732,280.6137848 +11996,MN,773,81,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,262 WEST 24 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,DUNDALK MNGMNT INCORP,4115,18762,0,18762,0,0,0,0,0,0,2,1,6,25,25,41.67,98.75,42,83, ,3,N,5,2,242550,2772450,0,0,1925,1984,0, , ,4.56,6,0,6,1,1007730081,0,91,984914,210900,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,288.1742353,4211.945183,2529900,2,0,11995,11997,19,4275,23.38899994,24.66222191,1.27322197,23.56300585,0.390999856,447.6971111 +11997,MN,877,35,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,39A GRAMERCY PARK NORTH,R9A, , , , , , , , , ,N,D4,3,0, ,39A GRAMERCY PARK OWN,2568,9400,1000,8400,1000,0,0,0,0,0,2,1,6,23,25,26,98.75,26,82, ,2,N,5,2,144000,940050,0,0,1930,0,0, , ,3.66,7.52,0,7.52,1,1008770035,0,68,988537,208144,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,255.1143952,2825.049772,796050,5,0,11996,11998,13,2925,22.27111053,22.27111053,0,22.27111053,0,289.524437 +11998,MN,557,25,102,61,3004,2,2,10003,L003,9,15,5700,1,2,3A,112 PARK AVENUE SOUTH,C6-1, , , , , , , , , ,N,D2,3,0, ,112 FOURTH AVE SCNSEA,3161,13969,0,13969,0,0,0,0,0,0,2,1,5,6,9,27,116.25,25,110, ,1,Y,5,2,267480,1003254,0,0,1900,1980,0, , ,4.42,3.44,6,6.5,1,1005570025,0,61,986894,206187,12c, ,103 026,10207, ,0, ,1, , 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,1,17V1.1,0,252.8668978,2748.307322,737100,7,1,12011,12013,12,2700,10.39400005,13.06111145,2.667111397,10.61625934,0.737150648,127.395112 +12013,MN,803,65,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,146 WEST 28 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,EUNHASU CORPORATION,4631,28250,5600,22650,3400,2200,0,0,0,0,2,1,7,18,20,46.67,98.75,46.67,85, ,3,N,5,2,416700,2905200,0,0,1910,1987,0, , ,6.1,0,10,10,1,1008030065,0,95,986295,211312,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,290.209851,4552.195678,2488500,2,0,12012,12014,20,4500,35.54111099,37.16799927,1.626888275,37.00461063,0.437699887,740.0922127 +12014,MN,764,20,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,235 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C5,2,0, ,COLUMN ASSOCIATES LLC,3700,9950,2900,7050,0,2900,0,0,0,0,2,1,5,28,33,31.58,120,31.58,64, ,3,Y,5,2,236250,1953900,0,0,1920,0,0, , ,2.69,6.02,6,6.5,1,1007640020,0,81,983960,208682,8d,Y,103 032,10304, ,0, ,1, , 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,17V1.1,0,300.2254893,4956.193433,1950300,8,1,12017,12019,25,5625,11.21500015,14.53999996,3.324999809,11.7229557,0.870880334,293.0738926 +12019,MN,416,20,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,169 ALLEN STREET,C4-4A, , , , , , , , , ,N,D4,3,0,P,167-69 ALLEN STREET H,4400,20680,0,20680,0,0,0,0,0,0,2,1,6,30,30,50,88,50,73,E,2,N,5,2,450000,907200,450000,638953,1920,1986,0, , ,4.7,4,4,4,1,1004160020,0,3601,987113,202115,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,283.076565,4601.582024,457200,1,0,12018,12020,21,4725,35.94111252,36.73555756,0.794445038,35.99928701,0.187160467,755.9850273 +12020,MN,507,41,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,246 BOWERY,C6-1, , , , , ,LI, , , ,N,S3,4,0, ,246 BOWERY REALY INC,1956,7088,1772,5316,0,1772,0,0,0,0,2,1,4,3,4,21.08,93.42,24,87, ,3,Y,5,5,120973,439973,0,0,1920,1988,0, , ,3.62,3.44,6,6.5,1,1005070041,0,43,986066,202646,12c, ,101N076,10206, ,0, ,1, , 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,1,1,1,17V1.1,0,154.3798833,1120.802363,263700,4,1,12021,12023,4,900,7.28000021,7.28000021,0,7.28000021,0,29.12000084 +12023,MN,873,26,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,131 EAST 17 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,JODASK RLTY CORP,2300,5370,0,5370,0,0,0,0,0,0,2,1,3,17,17,25,92,25,92,E,3,N,5,2,193500,1431000,0,0,1910,1989,0, , ,2.33,4,0,4,1,1008730026,0,50,987961,207342,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,237.9401492,2362.270667,1237500,5,0,12022,12024,11,2475,30.79533386,33.96666718,3.171333313,31.11393981,0.904348228,342.2533379 +12024,MN,740,51,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,336 WEST 17 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,336 W 17 LLC,2300,8525,0,8525,0,0,0,0,0,0,2,1,5,15,15,25,92,25,78, ,3,N,5,2,98100,581400,0,0,1910,1987,0, , ,3.71,4,0,4,1,1007400051,0,83,983474,209657,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,243.9584285,2455.147215,483300,7,0,12023,12025,10,2250,15.59444427,18.54999924,2.955554962,15.88999977,0.886666489,158.8999977 +12025,MN,593,7,102,71,5000,2,3,10014,E024,6,15,6100,1,2,2B,15 GAY STREET,R6,C4-5, , , , ,LC, , , ,Y,C3,2,0, ,405 SIXTH LLC,1235,2001,0,2001,0,0,0,0,0,0,2,1,3,4,4,19,65,19,44,E,3,N,5,5,129624,217686,0,0,1910,0,0,Greenwich Village Historic District, ,1.62,2.43,0,4.8,1,1005930007,0,71,984177,206540,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,168.8797844,1283.638648,88062,8,0,12024,12026,7,1575,17.50333405,19.20222282,1.698888779,17.92460387,0.676803962,125.4722271 +12026,MN,449,13,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,48 ST MARKS PLACE,R8B, , , , , , , , , ,N,M3,8,0, ,TR 1ST GERMAN METH CH,2438,5773,5773,0,0,0,0,0,0,5773,2,1,4,0,2,25,97.5,25,61, ,3,N,5,1,213750,542250,0,0,1900,0,0, , ,2.37,4,0,4,1,1004490013,0,38,987835,204540,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,248.1156039,2514.116557,328500,12,0,12025,12027,11,2475,26.66699982,30.6922226,4.025222778,27.89482828,1.678954508,306.843111 +12027,MN,590,10,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,275 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S4,4,0, ,275 BLEECKER STREET L,1840,4519,900,3619,0,900,0,0,0,0,2,1,4,4,5,23,80.08,23,78, ,3,N,5,5,155267,322538,0,0,1920,1988,2011,Greenwich Village Historic District Exte, ,2.46,3.44,0,6.5,1,1005900010,0,67,983419,205836,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,217.6104066,2035.304983,167271,9,0,12026,12028,8,1800,17.79000092,22.49333382,4.703332901,18.79352856,1.771993239,150.3482285 +12028,MN,912,47,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,234 EAST 32 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,HARUVI HOLDINGS LLC,1646,3550,0,3550,0,0,0,0,0,0,2,1,3,8,8,16.67,98.75,17,54, ,3,N,5,1,41240,235407,0,0,1900,1963,0, , ,2.16,3,0,3,1,1009120047,0,70,990381,210226,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,235.3932542,1666.272795,194167,10,0,12027,12029,9,2025,26.45000076,26.60888863,0.158887863,26.46765497,0.049933638,238.2088947 +12029,MN,547,19,102,59,3003,2,1,10003,E033,6,15,5700,1,2,2A,7 WASHINGTON PLACE,R7-2, , , , , , , , , ,N,O2,5,0,X,NEW YORK UNIVERSITY,2500,9800,9800,0,9800,0,0,0,0,0,2,1,4,0,1,25,100,25,100, ,3,N,3,2,197550,820350,197550,820350,1900,0,0, , ,3.92,3.44,0,6.5,1,1005470019,0,59,985776,205107,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,273.4537721,2995.560676,622800,9,0,12028,12030,15,3375,34.72000122,35.08222198,0.362220764,34.74441579,0.090287982,521.1662369 +12030,MN,889,31,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,157 EAST 33 STREET,R8B, , , , , , , , , ,N,S3,4,0,P,HILLTOP GREEN VILLAGE,1975,4820,1190,3630,0,1190,0,0,0,0,2,1,4,3,4,20,98.75,20,88,E,3,N,5,5,244286,567905,0,0,1910,0,0, , ,2.44,4,0,4,1,1008890031,0,72,989991,210914,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,241.9415088,2048.232602,323619,10,0,12029,12031,9,2025,24.63888931,26.67355537,2.034666061,24.86496332,0.639433853,223.7846699 +12031,MN,614,19,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,26 BANK STREET,R6, , , , , , , , , ,N,C0,2,0,P,"WHITE, JOCELYN C",1814,4170,0,3169,0,0,0,0,0,0,2,1,3,3,3,19.5,93,19.53,52,E,3,Y,5,1,73959,222451,0,0,1915,1988,0,Greenwich Village Historic District, ,2.3,2.43,0,4.8,1,1006140019,0,77,983544,207717,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,234.2044527,1936.519532,148492,8,0,12030,12032,10,2250,26.80333328,29.68000031,2.876667023,27.53616657,1.110245687,275.3616657 +12032,MN,280,27,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,67 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,REALTY OF USA INC,2250,14873,14873,0,0,2100,0,12773,0,0,2,1,7,0,11,90,25,90,25,E,2,N,3,2,237150,1170450,0,0,1900,1987,0, , ,6.61,3.44,6,6.5,1,1002800027,0,8,985691,199235,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,241.6014164,2525.11613,933300,16,0,12031,12033,12,2700,34.66699982,37.5577774,2.890777588,35.45536105,1.187809066,425.4643326 +12033,MN,598,58,102,37,1011,2,3,10014,E024,1,15,6800,1,2,1B,341 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,REMAINDERMAN 345 HUDS,49755,797477,797477,0,750567,46910,0,0,0,0,2,1,17,0,24,199.83,250,199.84,250, ,2,Y,3,2,8010000,95979600,0,12672000,1931,2014,2014, , ,16.03,0,10,10,1,1005980058,0,37,982072,204414,12a, ,101N066,10208, ,0, ,1, , ,17V1.1,0,908.1365872,50631.61028,87969600,0,1,12032,12034,225,50625,11.06699944,14.07666683,3.009667397,11.19939848,0.531097234,2519.864657 +12034,MN,624,19,102,79,4006,2,3,10014,L005,6,15,6100,1,2,3B,601 HUDSON STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,UNIVERSITY PROPERTY L,2250,9550,0,9550,0,0,0,0,0,0,2,1,5,11,11,38.33,72.33,38,59, ,3,Y,5,2,180000,2021400,0,0,1930,0,0,Greenwich Village Historic District, ,4.24,3.44,2,6.5,1,1006240019,0,79,982581,207849,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,223.7835838,2779.46202,1841400,8,0,12033,12035,13,2925,15.52555561,15.52555561,0,15.52555561,0,201.8322229 +12035,MN,150,25,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,104 DUANE STREET,C6-2A,C6-4A, , , , , , , , ,Y,Y1,8,0,C,FIRE DEPARTMENT,8859,19381,19381,0,19381,0,0,0,0,0,2,2,3,0,2,75.75,116.67,76,80, ,3,Y,5,5,751950,1422450,751950,1422450,1905,0,0, ,ENGINE COMPANY NO. 7/HOOK & LADDER,2.19,6.02,6,6.5,1,1001500025,0,33,982523,199888,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,401.9526616,9466.391804,670500,14,0,12034,12036,41,9225,23.54111099,28.29555511,4.754444122,23.76306222,0.981149672,974.2855511 +12036,MN,384,7505,103,22.02,1002,1,2,10009,L018,9,14,7600,3,3, ,229 EAST 2 STREET,R8A, , , , , , , , , ,N,RM,4,0, , ,2075,8702,2010,6692,0,1845,0,165,0,0,2,1,6,5,6,24.75,83.33,25,52, ,1,Y,0,2,94950,887438,0,330978,2008,0,0, , ,4.19,6,0,6,1,1003847505,2176,2202,989095,202105,12c, ,102 005,10203, ,1003840019,7/16/2010,1, , ,17V1.1,7,223.4854733,2173.978306,792488,1,0,12035,12037,9,2025,18.08333397,19.68666649,1.60333252,18.74616072,0.616750765,168.7154465 +12037,MN,282,79,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,81 DIVISION STREET,C6-1G, , , , , , , , , ,N,K2,5,0, ,ENG BING SUN REALTYCO,1258,2500,2500,0,0,2500,0,0,0,0,2,1,2,0,1,25,50.33,25,47, ,2,Y,5,2,67050,309600,0,0,1970,1989,0, , ,1.99,3.44,6,6.5,1,1002820079,0,8,985996,199469,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,155.7294226,1362.668771,242550,16,0,12036,12038,6,1350,37.20222092,37.20222092,0,37.20222092,0,223.2133255 +12038,MN,373,43,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,321 EAST 3 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,VENETIAN MANAGEMENT L,5770,23640,0,23640,0,0,0,0,0,0,2,1,6,30,30,60,96.17,60,66, ,2,N,5,2,530100,3315150,0,0,2014,2014,0, , ,4.1,4,0,4,1,1003730043,0,2601,990176,201985,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,318.9548344,6007.102974,2785050,1,1,12037,12039,27,6075,11.91888905,13.96444416,2.045555115,13.0975719,0.539046855,353.6344414 +12039,MN,764,23,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,229 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,M1,8,0, ,CHUR OUR LADY GUADALU,3000,10625,10625,0,0,0,0,0,0,10625,2,1,4,0,3,25,120,25,110,E,3,N,5,2,422550,821250,0,0,1920,1985,0, , 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,3.5,3.44,2,6.5,1,1006250033,0,77,982944,208155,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,138.4013087,1006.157266,100177,8,0,12040,12042,5,1125,17.76333427,18.54722214,0.783887863,17.92011185,0.313555145,89.60055923 +12042,MN,606,62,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,459 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S1,4,0, ,453 LLC,597,1794,870,924,0,870,0,0,0,0,2,1,3,1,2,20,37.33,20,35, ,3,Y,5,2,28262,69146,0,0,1910,0,0,Greenwich Village Historic District, ,3.01,3.44,2,6.5,1,1006060062,0,71,984633,207160,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,110.9858515,679.2587171,40884,8,0,12041,12043,3,675,22.88899994,22.88899994,0,22.88899994,0,68.66699982 +12043,MN,438,4,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,170 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,PAMAC REALTY CORP,2225,8495,1699,6796,0,1699,0,0,0,0,2,1,5,13,14,23.67,94,24,78, ,3,N,5,2,76950,714150,0,0,1900,0,0, , ,3.82,4,0,4,1,1004380004,0,34,988699,204844,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,244.5466079,2403.226945,637200,12,0,12042,12044,9,2025,17.98900032,19.74622154,1.757221222,18.18424712,0.552241352,163.6582241 +12044,MN,507,33,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,262 BOWERY,C6-1,C6-2, , , , ,LI, , , ,Y,L8,6,0, ,BOWERY 262 LLC,3378,14291,14291,0,0,2858,0,11433,0,0,2,1,5,4,5,33.42,101.08,33,90,E,3,N,5,2,189900,1519650,0,0,1920,2014,0, , ,4.23,3.44,6,6.5,1,1005070033,0,43,986109,202814,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,275.8292893,3396.932621,1329750,9,0,12043,12045,13,2925,44.71333313,46.91333389,2.200000763,44.88256396,0.586232784,583.4733315 +12045,MN,294,7,103,16,5005,2,1,10002,E015,7,14,7400,1,3,2B,60 CANAL STREET,C6-2G, , , , , , , , , ,N,O2,5,0, ,NINE ORCHARD PARTNERS,1624,9876,9876,0,9876,0,0,0,0,0,2,1,6,0,6,21.92,75.08,21.92,75, ,1,Y,3,2,78750,588183,0,0,2014,2013,2013, , ,6.08,6.02,6,6.5,1,1002940007,0,16,986376,199704,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,195.5296349,1696.030482,509433,16,0,12044,12046,8,1800,39.43111038,40.99000168,1.558891296,39.79333305,0.629794272,318.3466644 +12046,MN,743,38,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1A,177 8 AVENUE,R7B,C1-6A, , , , , , , , ,Y,C7,4,0,P,THE MANHATTAN ASSOCIA,19550,77712,7500,70212,0,7500,0,0,0,0,2,1,6,100,103,103.5,200,104,189, ,2,Y,3,2,1152000,10983600,0,0,1925,1988,1999, , ,3.98,3,0,3,1,1007430038,0,89,984085,210052,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,620.2301974,20362.26093,9831600,7,0,12045,12047,90,20250,15.57888889,23.50222206,7.923333168,16.33931853,2.133975802,1470.538668 +12047,MN,311,6,103,14.01,1000,2,1,10002,E015,7,14,7400,1,3,2B,28 ESSEX STREET,R8, , , , , , , , , ,N,Q2,9,0,C,DCAS/DEPARTMENT OF ED,43875,1849,1849,0,0,1849,0,0,0,0,2,1,1,0,1,299.67,170.17,43,43, ,0,Y,3,5,2173500,3333150,2173500,3333150,1910,0,0, , ,0.04,6.02,0,6.5,1,1003110006,0,1401,987259,200073,12c,Y,101N052,10107, ,0, ,1, , ,17V1.1,0,942.9852139,43983.15386,1159650,13,0,12046,12048,196,44100,31.49555588,36.17889023,4.683334351,34.93463162,0.492554928,6847.187798 +12048,MN,615,58,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,327 WEST 4 STREET,R6,C1-6, , , , , , , , ,Y,C0,2,0,P,327 WEST 4TH LLC,1210,3098,0,2418,0,0,0,0,0,0,2,1,3,3,3,22,55,22,36,E,3,Y,5,1,39392,130221,0,0,1899,0,0,Greenwich Village Historic District, ,2.56,2.43,0,4.8,1,1006150058,0,77,983227,208118,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,155.4848292,1259.255441,90829,8,0,12047,12049,6,1350,21.74111176,21.74111176,0,21.74111176,0,130.4466705 +12049,MN,44,1,101,7,1002,2,1,10005,E004,1,15,7700,1,1, ,28 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,O4,5,1,P,CHASE MANHATTAN BANK,112555,2224200,2224200,0,1745542,102171,15200,361287,0,0,2,1,60,0,13,409.5,312,220,410, ,1,Y,3,1,66600000,228623850,0,0,1963,2007,0, ,ONE CHASE MANHATTAN PLAZA,19.76,10,15,15,1,1000440001,0,7,981720,197136,12b, ,101S005,10101, ,0, ,1, , ,17V1.1,0,1470.67139,107883.1749,162024000,4,0,12048,12050,479,107775,17.13333321,44.05555344,26.92222023,29.04418432,10.065223,13912.16429 +12050,MN,162,17,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,32 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"KUNG, DANNY YEE",2296,10202,2000,8202,0,2000,0,0,0,0,2,1,6,20,21,24,94.58,24,80, ,3,Y,5,2,112500,215550,2360,2360,1910,0,0, , ,4.44,3.44,6,6.5,1,1001620017,0,29,984642,199686,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,242.5189885,2370.656009,103050,14,0,12049,12051,9,2025,30.90500069,30.90500069,0,30.90500069,0,278.1450062 +12051,MN,415,10,103,18,4000,1,1,10002,L018,5,14,7400,1,3,2A,172 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,M1,8,0,P,ASSAFA ISLAMIC CENTER,2228,12600,12600,0,0,0,0,0,0,12600,2,1,6,0,1,25.25,88.25,25,88, ,0,N,5,5,561600,2271600,561600,2271600,2009,0,0, , ,5.66,4,4,4,1,1004150010,0,18,986834,201647,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,230.1478206,2223.834061,1710000,13,0,12050,12052,9,2025,37.10666656,41.74666595,4.63999939,40.38197496,1.788935531,363.4377747 +12052,MN,145,5,101,21,1000,2,1,10007,E007,1,15,7700,1,1,3A,111 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C7,4,0, ,MAHMOUD MOZAFFARI,1881,8749,1881,6868,0,1881,0,0,0,0,2,1,5,8,10,24.83,76.17,24,82, ,3,Y,5,2,294618,479710,0,0,1930,0,0,Tribeca South Historic District, ,4.65,7.52,6,7.5,1,1001450005,0,21,981991,199859,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,213.0922662,2030.106726,185092,14,0,12051,12053,10,2250,21.27222252,21.27222252,0,21.27222252,0,212.7222252 +12053,MN,753,38,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,389 8 AVENUE,C6-3X, , , , , , , , , ,N,S3,4,0, ,389 8TH LLC,1470,3876,1000,2876,0,1000,0,0,0,0,2,1,4,3,4,21,70,21,58,E,3,N,5,5,146254,337400,0,0,1910,0,0, , ,2.64,9,6,9,1,1007530038,0,97,985399,212296,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,191.9142674,1515.510955,191146,6,0,12052,12054,7,1575,28.20800018,29.00555611,0.797555923,28.32193674,0.279086436,198.2535572 +12054,MN,594,7509,102,37,1016,2,3,10013,L008,1,15,6800,1,2, ,22 RENWICK STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,22 RENWICK STREET CON,3690,23552,926,22626,0,926,0,0,0,0,2,1,12,17,18,61.5,60,60,46, ,0,N,5,5,989998,4185900,0,1577390,2008,0,0, , ,6.38,6.02,6,6.5,1,1005947509,2041,37,981947,203412,12a, ,101N063,10208, ,1005940065,2/5/2010,1,1,1,17V1.1,7,245.0270227,3751.468936,3195900,0,1,12053,12055,17,3825,9.168000221,12.67888927,3.510889053,9.557974086,1.070103628,162.4855595 +12055,MN,592,36,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,179 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,K4,4,0, ,WEST FOURTH STREET PA,830,2740,2055,685,0,2055,0,0,0,0,2,1,2,2,4,18.25,39.17,18.25,27, ,3,Y,5,2,162900,543150,0,0,1910,0,0,Greenwich Village Historic District, ,3.3,2.43,0,4.8,1,1005920036,0,71,983800,206136,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,118.0508652,802.349619,380250,9,0,12054,12056,3,675,17.50333405,17.50333405,0,17.50333405,0,52.51000214 +12056,MN,156,1,101,31,1014,2,1,10278,L001,5,15,7700,1,1,3B,38 LAFAYETTE STREET,C6-4, , , , , , , , , ,N,O9,5,0,X,US GENERAL SERVICES A,136994,1653794,1653794,0,1498274,0,0,0,0,0,2,1,45,0,45,475.85,243.75,303,83, ,0,Y,3,0,23940000,184813200,23940000,184813200,1968,0,0, , ,12.07,10,10,10,1,1001560001,0,31,983192,199820,12b,Y,101S034,10105, ,0, ,1, , ,17V1.1,0,1534.6839,135481.8438,160872992,14,0,12055,12057,600,135000,20.3722229,30.79888916,10.42666626,26.17622316,2.870530731,15705.7339 +12057,MN,162,6,103,29,3003,2,1,10013,E009,5,15,7700,1,3,1A,10 MOTT STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,JOLANIA PROP INC,726,2911,2097,814,814,1283,0,0,0,0,2,1,3,1,4,21.75,36.58,22,37, ,3,Y,5,2,75150,243900,0,0,1910,1980,0, , ,4.01,3.44,6,6.5,1,1001620006,0,29,984643,199427,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,119.8914736,845.7774495,168750,16,0,12056,12058,4,900,30.90500069,30.90500069,0,30.90500069,0,123.6200027 +12058,MN,586,4,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,42 BEDFORD STREET,C2-6,R6, , , , , , , , ,Y,A4,1,0,P,"MCCONNELL, JULIE A.",855,2357,0,1757,0,0,0,0,0,0,2,1,2.5,1,1,20,45,20,30, ,3,Y,5,1,26637,116360,0,0,1901,2002,2014,Greenwich Village Historic District Exte, ,2.76,3.44,2,6.5,1,1005860004,0,67,983116,205368,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,134.0827459,945.1329209,89723,9,0,12057,12059,4,900,15.38333321,15.38333321,0,15.38333321,0,61.53333282 +12059,MN,11,15,101,9,1004,2,1,10004,L015,1,15,7700,1,1,1B,70 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O8,5,0, ,WINTA ASSET MANAGEMEN,3060,19478,15218,4260,15218,0,0,0,0,0,2,1,5,3,6,44,66.12,43,65, ,2,Y,3,2,900000,5090400,0,0,1908,1989,2007, ,AMERICAN BANK NOTE COMPANY OFFICE B,6.37,10,15,15,1,1000110015,0,9,980988,196058,12b, ,101S001,10101, ,0, ,1, ,1,17V1.1,0,243.8964768,3621.813622,4190400,17,1,12058,12060,20,4500,9.540222168,10.96100044,1.420778275,10.79650593,0.339254072,215.9301186 +12060,MN,42,1,101,7,1004,2,1,10005,E004,1,15,7700,1,1,1B,100 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,D6,4,0,P,MAIDEN LANE PROPERTI,17684,290116,22564,267552,0,9564,13000,0,0,0,2,1,24,340,346,147.75,120.12,120,94, ,0,Y,3,2,6345000,39034350,0,4140000,1930,1984,2005, , ,16.41,10,15,15,1,1000420001,0,7,982248,196753,12b, ,101S006,10101, ,1000420038,1/9/1985,1,1,1,17V1.1,0,580.2589894,19536.748,32689400,4,1,12059,12061,87,19575,8.143333435,9.099333763,0.956000328,9.015678472,0.14855057,784.364027 +12061,MN,180,31,101,39,4006,2,1,10013,E007,1,15,7700,1,1,3A,4 STAPLE STREET,C6-2A, , , , , ,TMU, , , ,N,A5,1,0, ,"KELLOG, DIANA W",950,2850,0,2850,0,0,0,0,0,0,2,1,2,1,1,38,25.42,38,25, ,3,Y,5,2,91082,175154,0,0,1920,0,0,Tribeca West Historic District, ,3,6.02,6,6.5,1,1001800031,0,39,981612,200965,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,130.9489282,1038.497294,84072,14,0,12060,12062,6,1350,15.85299969,15.85299969,0,15.85299969,0,95.11799812 +12062,MN,885,7502,106,72,4001,2,2,10016,E016,13,14,5300,2,6, ,143 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,R4,3,0, , ,2465,15382,0,15382,0,0,0,0,0,0,2,1,13,12,12,29,85,29,85, ,0,N,5,5,222299,2828250,0,997447,2006,0,0, , ,6.24,6.02,6,6.5,1,1008857502,1929,72,989349,210111,8d, ,104 019,10307, ,1008850025,11/12/2008,1, , ,17V1.1,7,234.5567774,2578.362647,2605950,10,0,12061,12063,11,2475,30.56200027,30.56200027,0,30.56200027,0,336.182003 +12063,MN,695,7504,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,231 10 AVENUE,C6-3A, , , , , ,WCH, , , ,N,RM,4,0, ,VESTA 24 CONDOMINIUM,4937,39593,3696,35897,0,3696,0,0,0,0,2,1,14,22,23,49.37,100,49,100, ,0,N,0,5,371252,7746302,18880,18880,2004,0,0, , ,8.02,7.52,6,7.5,1,1006957504,1523,99,983103,211901,8b, ,105S003,10301, ,1006950039,3/2/2006,1, ,1,17V1.1,7,304.7983017,5129.303822,7375050,2,1,12062,12064,23,5175,9.51099968,9.51099968,0,9.51099968,0,218.7529926 +12064,MN,720,77,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,460 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,458-460 W 23RD OWNERS,2173,6135,0,6135,0,0,0,0,0,0,2,1,5,11,11,22,98.75,22,54, ,3,N,5,2,61650,645300,7080,7080,1900,1986,0,Chelsea Historic District Extension, ,2.82,3,0,3,1,1007200077,0,93,983199,211511,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,248.7376409,2252.812482,583650,2,1,12063,12065,10,2250,9.369999886,11.52222252,2.152222633,9.630888844,0.644978797,96.30888844 +12065,MN,398,6,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,36 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,150 EAST THIRD STREE,3376,15605,1000,14605,0,1000,0,0,0,0,2,1,5.5,33,38,44.42,76,45,39, ,2,N,3,2,270000,2114550,0,0,1900,1985,0, , ,4.62,4,0,4,1,1003980006,0,3002,988372,202839,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,249.7654548,3637.581063,1844550,1,0,12064,12066,16,3600,19.43000031,24.48555565,5.055555344,20.47412527,1.874895638,327.5860043 +12066,MN,301,1,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,99 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,1,P,99 CANAL REALTY INC.,3775,21230,21230,0,17692,3538,0,0,0,0,2,1,6,0,12,75.7,50,77,50, ,2,Y,3,2,218250,2569950,0,0,1900,2003,0, , ,5.62,3.44,6,6.5,1,1003010001,0,16,985928,200025,12c,Y,101N050,10107, ,1003010001,5/14/2012,1, , ,17V1.1,0,264.4479027,4197.524523,2351700,13,0,12065,12067,18,4050,41.60800171,44.02044678,2.412445068,41.88266839,0.661275051,753.888031 +12067,MN,585,70,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,1 GROVE COURT,R6, , , , , , , , , ,N,A4,1,0, ,BRIAN HENRY CULLMAN,375,1260,0,1260,0,0,0,0,0,0,2,1,3,1,1,14.75,24.08,14.75,24.08, ,2,Y,6,2,27914,82944,0,0,1901,0,0,Greenwich Village Historic District, ,3.36,2.43,0,4.8,1,1005850070,0,73,982667,205969,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,88.68243759,467.8330805,55030,9,0,12066,12068,2,450,18.5988884,22.62333298,4.02444458,20.61111069,2.01222229,41.22222137 +12068,MN,90,17,101,15.01,1006,2,1,10038,E006,1,15,7700,1,1, ,113 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,D7,4,0, ,ANN/NASSAU REALTY LLC,9317,182499,35000,147499,30000,5000,0,0,0,0,2,1,30,168,171,123.75,102.5,74,0, ,1,Y,3,2,2687400,20873700,0,16058127,2012,0,0, , ,19.59,10,15,15,1,1000900017,0,1501,982207,198268,12b, ,101S019,10103, ,1000900017,5/8/2012,1, , ,17V1.1,0,456.9229429,9530.276977,18186300,0,0,12067,12069,41,9225,35.69444275,39.35555649,3.661113739,36.16780351,0.964776449,1482.879944 +12069,MN,851,32,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,41 EAST 22 STREET,C6-4M, , , , , , , , , ,N,D3,3,0,P,45 EAST 22ND STREET P,5917,376284,3600,372684,0,0,3600,0,0,0,2,1,64,83,84,75,98.75,75,98, ,1,N,5,0,1890000,4236750,0,0,2014,2014,0, , ,63.59,10,10,10,1,1008510032,0,56,987765,208860,8d, ,104 003,10306, ,1008510032,5/8/2014,1, , ,17V1.1,0,362.9557338,8024.103583,2346750,11,0,12068,12070,35,7875,32.49111176,35.00222015,2.511108398,32.69431795,0.587475165,1144.301128 +12070,MN,484,26,102,49,1010,2,1,10012,E055,1,15,6800,1,2,1A,491 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,491 BROADWAY RLTY COR,4200,57486,19162,38324,0,4550,0,0,0,14612,2,1,12,13,15,33.33,125,33,124, ,3,Y,4,2,385650,6775200,348610,348610,1920,1987,0,SoHo-Cast Iron Historic District, ,13.69,0,5,6.5,1,1004840026,0,49,984273,202335,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,405.9833312,4416.178707,6389550,0,0,12069,12071,20,4500,22.21222115,26.25,4.037778854,22.41411009,0.880013499,448.2822018 +12071,MN,454,68,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,305 EAST 12 STREET,R8B, , , ,C1-5, , , , , ,N,C3,2,0, ,"GONZALEZ, THORA DASS",1087,2646,0,2646,0,0,0,0,0,0,2,1,3,4,4,21,51.75,21,39, ,3,N,5,5,140348,190268,0,0,1900,1963,0, , ,2.43,4,0,4,1,1004540068,0,40,988320,205576,12c, ,102 027,10205,E-216,0, ,1, , ,17V1.1,0,154.7222094,1249.108466,49920,12,0,12070,12072,5,1125,22.37666702,24.53999901,2.163331985,22.80933342,0.865332794,114.0466671 +12072,MN,615,43,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,15 BANK STREET,R6, , , , , , , , , ,N,A5,1,0, ,"CHENG, MELINDA",1980,4448,0,4448,0,0,0,0,0,0,2,1,3,1,1,22,90,22,50, ,3,N,5,2,88607,378456,0,0,1910,1986,2008,Greenwich Village Historic District, ,2.25,2.43,0,4.8,1,1006150043,0,77,983564,207862,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,229.3957043,1952.489076,289849,8,0,12071,12073,7,1575,23.05999947,27.75333214,4.693332672,24.07031686,1.713029738,168.492218 +12073,MN,170,6,101,31,1010,2,1,10013,L001,5,15,7700,1,1,3A,346 BROADWAY,C6-4A, , , , , , , , , ,N,D6,4,0,P,CIVIC CENTER COMMUNIT,28566,373546,9409,364137,0,2199,0,0,0,7210,2,1,13,151,152,60,400,60,400, ,2,Y,3,2,4995000,12536549,0,0,1920,2015,0, ,FORMER NEW YORK LIFE INSURANCE BUIL,13.08,10,10,10,1,1001700006,0,31,983311,200269,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,971.6279539,31696.27336,7541550,14,0,12072,12074,140,31500,18.57444382,34.93777847,16.36333466,21.07615611,2.523571742,2950.661856 +12074,MN,460,25,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,228 EAST 5 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,228 E. 5TH STREET REA,1908,2832,0,2832,0,0,0,0,0,0,2,1,3,9,9,20.67,92.33,21,40, ,3,N,5,1,68697,274787,0,0,1931,2006,0,East Village/Lower East Side Historic Di, ,1.48,4,0,4,1,1004600025,0,38,986999,204150,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,228.5381519,1907.682538,206090,1,0,12073,12075,8,1800,35.65444565,40.18222427,4.527778625,37.17430639,1.979396713,297.3944511 +12075,MN,391,52,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,315 EAST 8 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,"ROECKER, SUSAN K",1437,3412,0,3412,0,0,0,0,0,0,2,1,4,4,4,20.58,69.83,19,40, ,2,N,5,5,23293,30934,0,0,1900,0,0, , ,2.37,4,0,4,1,1003910052,0,2602,989892,203563,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,187.0696584,1516.313784,7641,12,1,12074,12076,6,1350,8.318888664,9.899110794,1.58022213,8.597073873,0.583192534,51.58244324 +12076,MN,132,7503,101,21,2004,2,1,10007,L010,1,15,7700,1,1, ,71 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,THE HASTINGS CONDO,4992,49402,3070,46332,0,0,0,0,0,3070,2,1,13,11,12,49.92,100,49.92,89, ,0,N,0,5,1548001,7518151,2360,2360,2001,0,0, , ,9.9,6.02,6,6.5,1,1001327503,1042,21,981360,199688,12b, ,11S 015,10104, ,1001320004,12/7/1999,1, , ,17V1.1,7,314.0487468,5351.206861,5970150,3,0,12075,12077,24,5400,17.78899956,17.95000076,0.161001205,17.93083398,0.044886501,430.3400154 +12077,MN,279,1,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,47 MADISON STREET,R7-2, , , , , , , , , ,N,N9,8,0,P,SAINT JAMES CHURCH,2548,3895,3895,0,0,0,0,0,0,3895,2,1,2.5,0,1,26.17,104.5,26,104, ,3,Y,5,0,210600,438750,210600,438750,1910,1984,0, , ,1.53,3.44,0,6.5,1,1002790001,0,27,984729,198739,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,262.2487331,2786.083215,228150,16,0,12076,12078,12,2700,16.83866692,17.07600021,0.237333298,17.05622244,0.065595458,204.6746693 +12078,MN,700,27,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,509 WEST 28 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,1,P,KADIMA TENTH AVENUE S,12344,269584,16231,253353,0,16231,0,0,0,0,2,1,13,210,211,125,98.75,0,0, ,3,N,5,0,1450800,10405800,0,0,2014,0,0, , ,21.84,7.52,6,10,1,1007000027,0,99,983580,212995,8b, ,105S015,10301, ,0, ,1, , ,17V1.1,0,448.9003632,12419.564,8955000,2,1,12077,12079,54,12150,11.49300003,11.49300003,0,11.49300003,0,620.6220016 +12079,MN,500,7503,102,49,1006,2,1,10012,L020,1,15,6800,1,2, ,139 SPRING STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,5392,37918,7841,30077,0,4465,0,3376,0,0,2,1,7,9,10,54,100,0,0, ,0,Y,0,5,95910,1806942,7080,7080,1909,0,0,SoHo-Cast Iron Historic District, ,7.03,0,5,6.5,1,1005007503,1193,49,984018,203143,12c, ,11N 072,10206, ,1005000040,11/1/2001,1, , ,17V1.1,7,319.2316092,5853.114472,1711030,0,0,12078,12080,27,6075,17.84111023,18.91222191,1.071111679,17.98505274,0.33390575,485.5964241 +12080,MN,790,9,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,147 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C7,4,0, ,PR 147 WEST 14 LLC,2077,6335,750,5585,0,750,0,0,0,0,2,1,5,15,16,19.5,106.5,20,65, ,3,N,5,2,98100,845550,0,0,1901,1980,0, , ,3.05,6.02,6,6.5,1,1007900009,0,81,984592,208329,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,258.7797959,2199.820768,747450,7,0,12079,12081,10,2250,27.73777771,29.26333427,1.525556564,27.98933334,0.517167285,279.8933334 +12081,MN,771,52,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,224 WEST 22 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,THOMAS ANTHONY HOLDIN,1975,3855,0,3855,0,0,0,0,0,0,2,1,4,1,1,20,98.75,20,88,E,3,N,5,0,42040,135909,0,0,1901,0,0, , ,1.95,4,0,4,1,1007710052,0,87,985038,210195,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,241.3637148,2016.864844,93869,7,0,12080,12082,8,1800,22.72999954,26.46333313,3.733333588,23.96347189,1.515675584,191.7077751 +12082,MN,299,26,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,27 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,M L K REALTY CORP,2137,7910,1500,6410,0,1500,0,0,0,0,2,1,5,16,18,24.25,88.58,24,64, ,3,Y,4,2,121500,743400,0,0,1930,0,0, , ,3.7,6.02,6,6.5,1,1002990026,0,16,986516,199968,12d,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,234.2140485,2288.422276,621900,13,0,12081,12083,10,2250,40.40000153,40.40000153,0,40.40000153,0,404.0000153 +12083,MN,616,44,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,302 WEST 13 STREET,C1-6, , , , , , , , , ,N,C0,2,0, ,JUDITH WHITNEY GODWIN,1422,4800,0,4800,0,0,0,0,0,0,2,1,3,3,3,56.25,41.33,56.33,24.5, ,2,Y,3,0,35727,93040,0,0,1910,0,0,Greenwich Village Historic District, ,3.38,3.44,2,6.5,1,1006160044,0,77,983279,208552,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,168.6999132,1531.419747,57313,8,0,12082,12084,6,1350,20.44199944,21.70000076,1.258001328,20.65166632,0.468829414,123.9099979 +12084,MN,526,64,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,170 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"ISEMAN, JOSEPH S",4581,19519,2600,16919,0,2600,0,0,0,0,2,2,6,23,25,46.75,98,26,98, ,0,N,3,5,549000,2242350,0,0,1900,1987,0,South Village Historic District, ,4.26,3.44,0,6.5,1,1005260064,0,65,984048,204758,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,304.9895047,5087.435161,1693350,9,0,12083,12085,23,5175,23.22699928,25.71777916,2.490779877,23.82427008,0.963941606,547.9582119 +12085,MN,482,31,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,212 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,212 LAFAYETTE LLC,2492,8815,1640,7175,0,1640,0,0,0,0,2,1,5,16,17,24.92,100,25,96, ,2,N,5,2,153450,1018350,0,0,1900,2014,2004, , ,3.54,0,5,6.5,1,1004820031,0,45,984822,202254,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,260.8758664,2626.855202,864900,0,0,12084,12086,12,2700,30.94300079,30.94300079,0,30.94300079,0,371.3160095 +12086,MN,279,5,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,27 OLIVER STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,TODD N DALLAND,1688,4309,0,4309,0,0,0,0,0,0,2,1,3,3,3,21.83,77,22,77, ,3,Y,5,1,33287,171910,0,0,1900,1988,0, , ,2.55,3.44,0,6.5,1,1002790005,0,27,984775,198768,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,194.8779287,1669.804277,138623,16,0,12085,12087,8,1800,16.83866692,17.07600021,0.237333298,17.01666689,0.102768332,136.1333351 +12087,MN,561,7502,102,59,5000,2,2,10003,E033,6,15,5700,3,2, ,28 EAST 10 STREET,C1-7,R7-2, , , , , , , , ,Y,RM,4,0, ,DEVONSHIRE HOUSE COND,15637,127932,8425,119507,0,8425,0,0,0,0,2,1,15,96,104,107.08,148.75,106,140, ,2,Y,3,5,1948508,16413310,0,0,1928,1986,0, , ,8.18,6.02,2,6.5,1,1005617502,2154,59,986016,206109,12c, ,103 025,10207, ,1005610005,5/11/2010,1, , ,17V1.1,7,524.5388236,15882.20775,14464800,8,0,12086,12088,71,15975,32.25444412,35.94666672,3.692222595,32.50272278,0.795126971,2307.693317 +12088,MN,177,5,101,33,2007,2,1,10013,E007,1,15,7700,1,1,3A,57 LEONARD STREET,C6-2A, , , , , , , , , ,N,L9,6,0, ,ANNETTE SWAIN,2583,11400,7000,4400,4000,2000,0,1000,0,0,2,1,5,1,3,24.33,100,24,94,E,3,N,5,2,118800,730800,0,0,1915,0,0, , ,4.41,6.02,6,6.5,1,1001770005,0,33,982572,200877,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,257.2009268,2581.98626,612000,14,1,12087,12089,12,2700,10.73999977,10.73999977,0,10.73999977,0,128.8799973 +12089,MN,856,9,105,56,1002,2,2,10010,E001,13,15,5700,1,5,1B,11 EAST 26 STREET,C5-2, , , , , , , , , ,N,O4,5,0, ,ROBERT M. HAUSMAN AS,11553,217991,217991,0,206991,11000,0,0,0,0,2,1,21,0,35,58.5,197.5,59,190, ,3,N,4,2,3150000,28041750,0,0,1913,1979,0,Madison Square North Historic District, ,18.87,10,10,10,1,1008560009,0,56,987789,210132,8d, ,104 004,10306, ,0, ,1, , ,17V1.1,0,537.2004744,12381.46298,24891800,11,0,12088,12090,54,12150,36.70000076,38.17333221,1.473331451,36.77683194,0.264718439,1985.948925 +12090,MN,771,48,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,216 WEST 22 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,216 WEST 22ND STREET,2967,13875,3600,10275,3600,0,0,0,0,0,2,1,5,15,18,30,98.75,30,88, ,3,N,5,2,90000,778050,0,0,1901,1989,0, , ,4.68,4,0,4,1,1007710048,0,87,985121,210149,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,260.6451768,2987.07543,688050,7,0,12089,12091,13,2925,22.72999954,26.84777832,4.117778778,23.21675183,1.201286015,301.8177738 +12091,MN,858,78,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,259 5 AVENUE,C5-2, , , , , , , , , ,N,O4,5,0, ,NORMANDY 261 5TH AVE,15849,444716,444716,0,426608,18108,0,0,0,0,2,1,25,0,65,98.75,160.5,99,161, ,2,N,3,2,11115000,54449550,0,0,1928,2003,0,Madison Square North Historic District, ,28.06,10,10,10,1,1008580078,0,74,987968,210681,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,538.0866174,17170.35454,43334600,11,0,12090,12092,76,17100,38.89199829,43.12333298,4.231334686,39.37023534,1.158045027,2992.137886 +12092,MN,508,46,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,17 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,17 PRINCE,1612,8652,1155,7497,0,1155,0,0,0,0,2,1,6,15,18,20,80.58,20,80, ,3,N,3,2,33750,2320200,0,0,1914,1983,0, , ,5.37,6.02,6,6.5,1,1005080046,0,43,985861,202658,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,207.0725366,1760.25302,2286450,0,0,12091,12093,7,1575,43.06000137,46.99111176,3.931110382,44.05666787,1.593541698,308.3966751 +12093,MN,807,50,105,101,1007,2,3,10001,L024,14,15,5200,1,5,1H,110 WEST 32 STREET,C6-4.5,C6-6, , , , ,MID, , , ,Y,L8,6,0, ,RJF 110 REALTY LLC,12312,102145,102145,0,34173,61806,0,0,6166,0,2,2,8,0,4,62.5,197,62.5,197, ,3,N,4,2,3240000,11763450,0,0,1920,1989,0, , ,8.3,10,12,12,1,1008070050,0,101,987119,211976,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,541.3897524,13094.4078,8523450,6,0,12092,12094,58,13050,37.13700104,41.80444336,4.667442322,37.2538956,0.662478334,2160.725945 +12094,MN,529,45,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,7 BLEECKER STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,"FRANK, JUNE LEAF",1500,3776,1228,2548,0,982,0,0,0,246,2,1,3,2,3,25,60,25,37, ,3,Y,5,2,36965,79127,0,0,1899,0,0,Noho East Historic District, ,2.52,0,5,6.5,1,1005290045,0,5502,986261,203609,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,174.6608429,1488.800135,42162,9,0,12093,12095,7,1575,41.23199844,44.71100235,3.479003906,42.03582437,1.319819458,294.2507706 +12095,MN,378,30,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,746 EAST 9 STREET,R8B,R8A, , ,C1-5, , , , , ,Y,E1,6,0, ,AGP LAND CO LTD,2348,2219,2219,0,0,0,0,2219,0,0,2,1,1,0,1,25,93.92,25,92, ,2,N,5,0,72000,147600,0,0,1910,0,0, , ,0.95,4,0,4,1,1003780030,0,2602,990851,203157,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,244.9352283,2426.305577,75600,12,1,12094,12096,9,2025,7.409999847,8.04877758,0.638777733,7.480975151,0.200748474,67.32877636 +12096,MN,496,9,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,95 CROSBY STREET,M1-5B, , , , , , , , , ,N,K1,5,0,P,95 CROSBY STREET LLC,1765,1804,1804,0,0,1804,0,0,0,0,2,1,1,0,1,25.83,68.33,26,68, ,3,Y,5,0,79200,1071900,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,1.02,0,5,6.5,1,1004960009,0,43,985049,202828,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,193.1413351,1807.400285,992700,0,0,12095,12097,8,1800,36.64899826,36.64899826,0,36.64899826,0,293.1919861 +12097,MN,883,83,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,114 EAST 28 STREET,C4-5A, , , , , , , , , ,N,D7,4,0,P,114 EAST 28TH STREETR,3950,22605,6767,15838,0,5767,0,0,0,1000,2,1,7,19,23,40,98.75,40,90, ,3,N,5,2,940500,2955600,0,0,1906,1987,0, , ,5.72,4,4,4,1,1008830083,0,68,988846,209900,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,287.2584595,4174.221508,2015100,11,0,12096,12098,19,4275,33.29444504,37.02999878,3.735553741,33.66949162,1.094872477,639.7203407 +12098,MN,423,2,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,131 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,GAR LING REALTY CORP,1919,8999,6000,2999,3000,3000,0,0,0,0,2,1,5,2,5,25,76.08,25,76.08, ,0,Y,5,2,270000,1783800,0,0,1920,2005,0, , ,4.69,3.44,6,6.5,1,1004230002,0,18,985788,201062,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,205.0272491,1907.897508,1513800,0,0,12097,12099,9,2025,34.16999817,34.16999817,0,34.16999817,0,307.5299835 +12099,MN,92,24,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1,1B,116 NASSAU STREET,C5-5,C6-4, , , , ,LM, , , ,Y,O3,5,0,P,ABACUS FEDERAL SV BK,12173,108793,108793,0,106793,2000,0,0,0,0,2,2,12,0,10,75.62,108.41,76,108, ,3,Y,3,2,2700000,7729200,0,0,1910,1989,2016, , ,8.94,10,15,15,1,1000920024,0,1501,982333,198173,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,576.504924,12470.17035,5029200,4,0,12098,12100,57,12825,34.5909996,36.86000061,2.269001007,34.71360585,0.427344855,1978.675533 +12100,MN,584,28,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,36 COMMERCE STREET,R6, , , , , , , , , ,N,A4,1,0, ,36 COMMERCE ST. LLC,1586,6804,0,5103,0,0,0,0,0,0,2,1,3,1,1,21,75.5,21,76, ,3,N,5,1,55439,207360,0,0,1841,1996,0,Greenwich Village Historic District, ,4.29,2.43,0,4.8,1,1005840028,0,67,982801,205704,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,195.0050586,1607.267103,151921,9,0,12099,12101,7,1575,16.16111183,18.12111092,1.959999084,16.4411117,0.685856808,115.0877819 +12101,MN,282,55,103,8,6002,2,1,10002,E009,5,14,7800,1,3,1A,96 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,JUST GRAND REALTY INC,1890,7625,2500,5125,1000,1500,0,0,0,0,2,1,5,9,12,25,75.75,25,61, ,3,Y,5,2,122850,598050,0,0,1900,2003,0, , ,4.03,3.44,6,6.5,1,1002820055,0,8,986054,199403,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,213.3203185,2051.624998,475200,16,0,12100,12102,11,2475,37.20222092,37.20222092,0,37.20222092,0,409.2244301 +12102,MN,10,16,101,9,1026,2,1,10004,L015,1,15,7700,1,1, ,90 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,"BROAD STREET PLAZA, L",15445,336025,336025,0,317613,18412,0,0,0,0,2,1,24,0,97,121.33,131.75,121,123, ,3,Y,3,2,6930000,26749350,0,0,1930,1988,0, , ,21.76,10,15,15,1,1000100016,0,9,980936,195692,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,542.5793134,17950.96408,19819400,17,1,12101,12103,82,18450,6.517333508,9.776110649,3.258777142,7.577611208,1.099380195,621.3641191 +12103,MN,271,65,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,29 RUTGERS STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,EVERGREEN MADISON REA,2990,14450,2450,12000,0,2450,0,0,0,0,2,1,6,20,22,48.33,95,48,59, ,2,Y,3,2,100350,953100,0,0,1920,0,0, , ,4.83,3.44,0,6.5,1,1002710065,0,6,987069,198981,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,298.6844234,3306.299647,852750,16,0,12102,12104,17,3825,17.21111107,17.21111107,0,17.21111107,0,292.5888882 +12104,MN,871,31,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,135 EAST 15 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,135 LLC,2581,5525,0,5525,0,0,0,0,0,0,2,1,4,1,1,25,103.25,25,52, ,3,N,5,1,53951,188764,0,0,1887,2009,0, , ,2.14,4,0,4,1,1008710031,0,50,987734,206891,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,264.7753946,2678.819872,134813,5,0,12103,12105,12,2700,33.78900146,33.78900146,0,33.78900146,0,405.4680176 +12105,MN,429,21,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,117 EAST 2 STREET,R8A,R8B, , ,C2-5, , , , , ,Y,D3,3,0,O,NEW YORK CITY HOUSING,51645,138202,0,138202,0,0,0,0,0,0,2,1,20,120,120,152,211.83,64,143, ,1,Y,4,2,1975950,17685900,1975950,17685900,1971,1989,0, , ,2.68,6,0,6,1,1004290021,0,3002,987792,202690,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,1124.371931,51969.0082,15710000,1,0,12104,12106,233,52425,26.89666557,34.45999908,7.563333511,30.08090831,1.538819395,7008.851637 +12106,MN,373,17,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,328 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,FAWN EAST FOURTH STRE,2204,8625,0,8625,0,0,0,0,0,0,2,1,6,10,10,22.92,96.17,20,52, ,3,N,5,0,58065,316104,0,0,1900,2011,0, , ,3.91,4,0,4,1,1003730017,0,2601,990008,202191,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,242.3525452,2190.335593,258039,1,0,12105,12107,10,2250,12.37111092,13.00555611,0.63444519,12.56322222,0.253749208,125.6322222 +12107,MN,468,35,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,205 2 AVENUE,R7A,R8B, , ,C1-5, ,TA, , , ,Y,D1,3,0, ,PQ 2 REALTY,2823,10008,0,10008,0,0,0,0,0,0,2,1,6,19,19,25.67,110,26,57,E,3,N,5,2,271350,1170450,0,0,1950,1970,0, , ,3.55,4,0,4,1,1004680035,0,40,988158,205831,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,271.5708048,2845.021715,899100,12,0,12106,12108,13,2925,28.72333336,29.17111206,0.447778702,28.75777787,0.119319302,373.8511124 +12108,MN,445,17,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,102 EAST 4 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,JOAN SHEPARD THOMPSON,1803,3921,0,3921,0,0,0,0,0,0,2,1,3,4,4,18.75,96.17,19,72,E,3,N,5,5,122771,166810,0,0,1900,1984,0, , ,2.17,4,0,4,1,1004450017,0,38,987408,203632,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,235.7489966,1863.332653,44039,1,0,12107,12109,9,2025,29.97444344,32.62111282,2.646669388,30.72838232,0.930186123,276.5554409 +12109,MN,464,3,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,25 3 AVENUE,C6-1, , , , , , , , , ,N,K1,5,0, ,GABAY & AMERI II LLC,2960,2960,2960,0,0,2960,0,0,0,0,2,1,1,0,2,40,74,40,74, ,3,N,5,2,405000,913050,0,0,1900,1969,0, , ,1,3.44,6,6.5,1,1004640003,0,38,987159,205097,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,232.805568,3107.68907,508050,12,0,12108,12110,13,2925,34.9980011,39.36777878,4.369777679,35.33413784,1.16441184,459.343792 +12110,MN,402,55,103,32,7002,1,2,10009,L011,9,14,6600,1,3,3A,521 EAST 6 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,521 EAST 6TH STREET H,2271,7229,0,7229,0,0,0,0,0,0,2,1,5,10,10,25,90.83,25,56, ,3,N,5,2,21180,94231,0,0,1900,1986,0, , ,3.18,3,0,3,1,1004020055,0,32,989041,203480,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,234.1811864,2221.566685,73051,1,0,12109,12111,10,2250,12.85000038,16.88666725,4.03666687,13.9632225,1.70868621,139.632225 +12111,MN,525,7503,102,65,4000,2,3,10012,L009,6,15,5700,2,2, ,177 THOMPSON STREET,R7-2, , , , , , , , , ,N,RM,4,0, ,177 THOMPSON OWNERS C,6767,12629,2630,9999,0,2630,0,0,0,0,2,2,6,27,28,68,100,0,0, ,0,N,5,5,855000,3838050,0,0,1903,0,0,South Village Historic District, ,1.87,3.44,0,6.5,1,1005257503,646,65,984158,204513,12c, ,103 007,10206, ,1005250018,7/22/1989,1, , ,17V1.1,7,344.6342139,7048.489439,2983050,9,0,12110,12112,31,6975,23.62666702,23.62666702,0,23.62666702,0,732.4266777 +12112,MN,178,7501,101,33,2006,2,1,10013,E007,1,15,7700,3,1, ,112 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,112 FRANKLIN CORP,2542,11466,4006,7460,0,0,0,0,0,4006,2,1,5,4,5,0.05,0,0,0, ,0,N,0,5,65478,607603,0,0,1867,0,0,Tribeca East Historic District, ,4.51,6.02,6,6.5,1,1001787501,882,33,982616,201144,12a, ,11S 036,10105, ,1001780009,12/24/1994,1, , ,17V1.1,7,262.4502434,2684.039062,542125,14,1,12111,12113,11,2475,9.793333054,9.793333054,0,9.793333054,0,107.7266636 +12113,MN,172,7501,101,31,1006,2,1,10013,L001,5,15,7700,3,1, ,376 BROADWAY,C6-4A, , , , , , , , , ,N,RM,4,0, ,MANDARIN PLAZA,11288,117020,11000,106020,0,11000,0,0,0,0,2,1,24,163,164,0.25,0,0,0, ,0,N,5,5,2457455,12351604,137594,268735,1990,0,0,Tribeca East Historic District, ,10.37,10,10,10,1,1001727501,730,31,983470,200759,12a, ,101S034,10105, ,1001720006,11/15/1990,1, , ,17V1.1,7,467.9604648,12000.82433,9894150,14,0,12112,12114,54,12150,21.01889038,25.94111061,4.92222023,22.78237615,1.237407313,1230.248312 +12114,MN,618,55,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,231 WEST 13 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"SCHAPIRO, JOEL",1633,3332,0,3332,0,0,0,0,0,0,2,1,4,6,6,20,81.67,20,41, ,3,N,5,5,99157,297133,0,0,1915,0,0,Greenwich Village Historic District, ,2.04,2.43,0,4.8,1,1006180055,0,77,983839,208380,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,200.5412208,1514.028031,197976,8,0,12113,12115,6,1350,22.30444527,23.7033329,1.398887634,22.87370427,0.611429399,137.2422256 +12115,MN,27,9,101,7,1020,2,1,10005,L015,1,15,7700,1,1,1B,63 WALL STREET,C5-5, , , , , ,LM, , , ,N,D5,3,0,P,"63 WALL STREET OWNER,",17623,400531,22000,378531,0,12000,10000,0,0,0,2,1,37,476,482,112.5,213.17,112.5,213.17, ,0,Y,3,2,11880000,45209250,0,2855700,1929,2004,0, , ,22.73,10,15,15,1,1000270009,0,7,981817,196356,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,585.9993929,18429.87235,33329300,17,0,12114,12116,81,18225,15.68200016,20.05111122,4.369111061,15.93430742,0.81269965,1290.678901 +12116,MN,573,8,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,68 WEST 10 STREET,C4-5,R6, , , , ,LC, , , ,Y,C4,2,0, ,H-O REALTY CORPORATIO,2303,9135,0,9135,0,0,0,0,0,0,2,1,5,20,20,25.17,92.25,25,76, ,3,N,5,2,110700,866700,0,0,1910,1984,0,Greenwich Village Historic District, ,3.97,3.44,3.4,6.5,1,1005730008,0,63,984693,206846,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,237.3936164,2331.689485,756000,8,0,12115,12117,10,2250,18.98099899,18.98099899,0,18.98099899,0,189.8099899 +12117,MN,354,1,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,140 ESSEX STREET,C4-4A, , , , , , , , , ,N,K1,5,1,C,NYC DSBS,11163,11156,11156,0,0,11156,0,0,0,0,2,1,1,0,1,225.33,69.92,223,70, ,2,N,3,0,697500,1580400,697500,1580400,1939,0,0, , ,1,4,4,4,1,1003540001,0,3001,987831,201660,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,597.4807223,11243.95269,882900,13,0,12116,12118,50,11250,28.01666641,31.55999947,3.543333054,28.26887085,0.872714062,1413.443542 +12118,MN,235,6,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,210 CENTRE STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,CRYSTAL WORLD REALTYC,3111,8208,8208,0,0,1368,0,6840,0,0,2,2,6,5,6,25.75,122.5,26,78, ,2,N,4,2,165600,942300,0,0,1915,1983,0, , ,2.64,0,5,6.5,1,1002350006,0,41,984600,201233,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,310.8598085,3242.953052,776700,0,0,12117,12119,13,2925,18.99699974,19.91766548,0.920665741,19.06782018,0.245329206,247.8816624 +12119,MN,28,15,101,7,1019,2,1,10005,L015,1,15,7700,1,1,1B,80 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,CALLAGHAN ENTERPRISES,1833,7252,4156,3096,0,3220,0,936,0,0,2,1,4.5,2,3,18,93.5,18,86, ,3,Y,4,2,288900,859500,0,0,1903,0,0, , ,3.96,10,15,15,1,1000280015,0,7,981826,196182,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,218.9549048,1698.424782,570600,17,0,12118,12120,7,1575,15.68500042,15.68500042,0,15.68500042,0,109.7950029 +12120,MN,589,2,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,239 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,117 BEDFORD STREET HO,2000,5195,1000,4195,0,1000,0,0,0,0,2,1,4,3,4,20.92,100,21,86,E,3,N,5,5,265808,605687,0,0,1929,2013,0,Greenwich Village Historic District Exte, ,2.6,3.44,0,6.5,1,1005890002,0,67,983572,205513,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,245.9497689,2295.41528,339879,9,0,12119,12121,9,2025,15.87222195,16.18888855,0.316666603,15.90740712,0.099518712,143.1666641 +12121,MN,274,45,103,8,6012,2,1,10002,E009,5,14,7800,1,3,1A,56 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,"HUANG, HENNY SHING FO",2190,12540,2000,10540,0,2000,0,0,0,0,2,1,6,20,22,25,87.58,25,85, ,2,Y,3,2,117450,394200,0,0,1900,1988,0, , ,5.73,3.44,0,6.5,1,1002740045,0,8,985909,198578,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,235.828067,2454.657957,276750,16,0,12120,12122,11,2475,24.63366699,24.63366699,0,24.63366699,0,270.9703369 +12122,MN,882,60,106,68,6001,2,2,10016,E016,13,14,5300,1,6,1B,138 EAST 27 STREET,R8B,C6-2A, , , , , , , , ,Y,J5,5,0, ,CASPER R. CALLEN TRUS,2534,5000,5000,0,0,0,0,0,0,5000,2,1,4,0,1,25,98.75,25,55,E,3,Y,5,1,243900,498150,0,0,1920,0,0, , ,1.97,4,0,4,1,1008820060,0,68,989073,209479,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,251.9248499,2515.269909,254250,11,0,12121,12123,12,2700,31.85222244,35.76000214,3.907779694,32.55838013,1.394812823,390.7005615 +12123,MN,632,17,102,75,1000,2,3,10014,L005,6,15,6400,1,2,2K,726 GREENWICH STREET,C1-6A, , , , , , , , , ,N,D4,3,0, ,GREENWICH TOWERS OWNE,18207,141001,0,141000,0,0,0,0,0,0,2,1,10,157,157,209,122.25,195,114, ,3,Y,3,2,1701000,15313050,128497,128497,1930,1976,0,Greenwich Village Historic District Exte, ,7.74,4,2,4,1,1006320017,0,75,982213,206922,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,631.8238011,18775.36837,13612100,9,0,12122,12124,82,18450,15.84700012,22.66333389,6.816333771,16.27420335,1.394787783,1334.484674 +12124,MN,435,32,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,121 AVENUE A,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,121 AVE A RLTY CORP,1709,5260,1315,3945,0,1315,0,0,0,0,2,1,4,4,5,24.42,70,24,52, ,3,N,5,5,120121,178590,0,0,1900,1985,0, , ,3.08,4,0,4,1,1004350032,0,32,988829,203975,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,195.0004777,1788.504813,58469,12,0,12123,12125,9,2025,18.65755463,19.20444489,0.546890259,19.01392555,0.147944165,171.12533 +12125,MN,448,51,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,309 EAST 6 STREET,R8B, , , , , , , , , ,N,I9,8,0,P,ODYSSEY HOUSE INC,2044,5480,5480,0,0,0,0,0,0,5480,2,1,4,0,1,25,81.75,25,76, ,3,N,5,1,144450,351000,144450,351000,1920,1988,0,East Village/Lower East Side Historic Di, ,2.68,4,0,4,1,1004480051,0,38,987644,204247,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,223.7929222,2176.607989,206550,1,0,12124,12126,11,2475,27.1590004,31.0897789,3.930778503,27.82471761,1.416861513,306.0718937 +12126,MN,754,37,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,405 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0, ,WEST FUTURE HOLDCO LL,2469,5169,3585,1584,1585,2000,0,0,0,0,2,1,3,1,3,24.67,100,25,92,E,3,N,5,2,242100,762750,0,0,1901,1960,0, , ,2.09,9,6,9,1,1007540037,0,103,985493,212502,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,255.9770277,2711.859884,520650,6,0,12125,12127,12,2700,29.79800034,31.03111076,1.233110428,29.90075954,0.340813718,358.8091145 +12127,MN,196,26,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,86 WALKER STREET,M1-5, , , , , , , , , ,N,L9,6,0, ,WALKER BROADWAY LLC,2242,12000,12000,0,9750,2250,0,0,0,0,2,1,6,0,7,25,91.08,25,90,E,3,Y,5,2,156600,804600,0,0,1915,0,0, , ,5.35,0,5,6.5,1,1001960026,0,31,983882,200971,12a, ,101N047,10105, ,0, ,1, , ,17V1.1,0,239.6781389,2369.065342,648000,14,0,12126,12128,11,2475,14.39799976,14.39799976,0,14.39799976,0,158.3779974 +12128,MN,448,35,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,341 EAST 6 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,341 EAST 6TH STREETRE,2835,10860,0,10860,0,0,0,0,0,0,2,1,5,20,20,25,113.42,25,86, ,3,N,5,2,103050,442800,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.83,4,0,4,1,1004480035,0,38,987980,204079,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,283.8851587,3026.202014,339750,1,0,12127,12129,14,3150,27.1590004,28.66666603,1.507665634,27.45888914,0.506211795,384.424448 +12129,MN,719,101,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,188 10 AVENUE,R7B, , , ,C2-5, , , , , ,N,S1,4,0,P,188 TENTH AVENUE CORP,883,2640,880,1760,0,880,0,0,0,0,2,1,3,1,2,44.17,20,20,44, ,2,N,5,5,60884,134815,0,0,1920,0,0,Chelsea Historic District, ,2.99,3,0,3,1,1007190101,0,89,982937,211275,8b, ,103 042,10302, ,0, ,1,1,1,17V1.1,0,140.0014022,1053.407107,73931,7,1,12128,12130,6,1350,9.307999611,10.41888905,1.110889435,9.624962807,0.457673084,57.74977684 +12130,MN,164,47,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,17 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,WING LEE RLTY INC,2303,9726,2000,7726,0,2000,0,0,0,0,2,2,5,15,17,26.42,91,26.5,40, ,0,Y,5,2,105750,763200,0,0,1900,0,0, , ,4.22,3.44,6,6.5,1,1001640047,0,29,984525,199502,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,234.3242548,2288.84337,657450,14,0,12129,12131,10,2250,25.58300018,25.58300018,0,25.58300018,0,255.8300018 +12131,MN,448,19,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,70 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,WASSERSTROM 70 EAST 7,2271,10092,0,10092,0,0,0,0,0,0,2,1,6,24,24,25,90.83,25,76, ,3,N,5,2,276300,1091700,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.44,4,0,4,1,1004480019,0,38,987889,204225,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.3643162,2412.219688,815400,12,0,12130,12132,11,2475,27.1590004,29.88777733,2.728776932,27.46584875,0.787893729,302.1243362 +12132,MN,189,25,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,34 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,34 36 NORTH TENNANTS,4375,28500,2500,26000,0,2500,0,0,0,0,2,1,7,12,14,50,87.5,50,80, ,3,N,5,2,393750,1757700,9440,9440,1910,1980,0,Tribeca West Historic District, ,6.51,6.02,6,6.5,1,1001890025,0,33,982080,201473,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,286.4571546,4604.434542,1363950,14,1,12131,12133,20,4500,10.17444515,10.17444515,0,10.17444515,0,203.488903 +12133,MN,902,51,106,64,2000,2,2,10010,E005,13,14,5900,1,6,1B,210 EAST 22 STREET,R8A,C2-8A, , , , , , , , ,Y,D3,3,0,P,210-220 E. 22ND STREE,9228,49207,6347,42860,6347,0,0,0,0,0,2,1,8,88,88,98.5,98.75,99,91, ,2,Y,5,2,1854000,9474750,0,0,1982,0,0, , ,5.33,6,0,6,1,1009020051,0,64,988923,208047,12c,Y,102 047,10308, ,0, ,1, , ,17V1.1,0,393.1011055,9178.061746,7620750,11,0,12132,12134,40,9000,19.86555672,21.46333313,1.597776413,19.92033443,0.263861173,796.8133774 +12134,MN,285,10,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,197 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,MIRACLE 8 REALTY CORP,2202,5000,1700,3300,0,0,0,0,0,1700,2,1,3,3,4,25.17,87.5,25,73,E,3,N,5,5,45728,166972,0,0,1900,1961,0, , ,2.27,3.44,0,6.5,1,1002850010,0,6,987663,199328,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,226.6192266,2207.746069,121244,13,0,12133,12135,10,2250,23.9640007,25.05000114,1.086000443,24.32011166,0.443739202,243.2011166 +12135,MN,544,16,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,423 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,J7,5,0,C,CULTURAL AFFAIRS,29670,61420,61420,0,0,0,0,0,0,61420,2,1,3,0,1,249.08,155.17,200,125, ,1,Y,5,2,4725000,10833750,4725000,10833750,1900,1987,2010,NoHo Historic District,ASTOR LIBRARY,2.07,0,5,6.5,1,1005440016,0,57,986535,204857,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,818.0257053,31273.04681,6108750,9,0,12134,12136,140,31500,40.7820015,45.35555649,4.573554993,41.13371402,0.975964832,5758.719963 +12136,MN,462,15,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,32 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,SEVENTH STREET PROPER,2218,9708,1618,8090,0,1618,0,0,0,0,2,1,6,22,24,24.42,90.83,24,78, ,3,N,5,2,468000,1518300,0,0,1900,0,0, , ,4.38,4,0,4,1,1004620015,0,38,987240,204583,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,236.685771,2299.154868,1050300,12,0,12135,12137,10,2250,35.00777817,38.22333527,3.215557098,35.32933388,0.96466713,353.2933388 +12137,MN,586,76,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,15 LEROY STREET,R6, , , , , , , , , ,N,C7,4,0, ,DAN BARRIE RLTY CNSTR,2250,9375,475,8900,475,0,0,0,0,0,2,1,5,20,22,25,90,25,78, ,3,N,5,1,130050,630900,0,0,1910,1987,0,Greenwich Village Historic District Exte, ,4.17,2.43,0,4.8,1,1005860076,0,67,983246,205547,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,227.1850266,2161.647868,500850,9,0,12136,12138,9,2025,15.38333321,17.38400078,2.000667572,15.80007405,0.781886208,142.2006664 +12138,MN,850,7506,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,49 EAST 21 STREET,M1-5M,C6-4A, , , , , , , , ,Y,RM,4,0, , ,7308,67426,6805,60621,0,6805,0,0,0,0,2,1,12,43,44,74,98.75,74,96, ,0,N,5,5,1642498,8923494,23600,23600,1913,1979,2004, , ,9.23,0,5,6.5,1,1008507506,1381,56,987664,208624,8d, ,102 044,10306, ,1008500033,10/16/2004,1, , ,17V1.1,7,355.6122669,7681.135215,7281000,5,0,12137,12139,34,7650,35.59999847,36.33111191,0.731113434,35.62150181,0.123527262,1211.131062 +12139,MN,164,15,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,58 MULBERRY STREET,C6-1, , , , , , , , , ,N,S4,4,0, ,JUNG BUT CHEH REALTY,2329,6316,2000,4316,0,2000,0,0,0,0,2,2,3,4,5,25,95,25,95, ,3,Y,5,5,223587,444408,0,0,1915,1986,0, , ,2.71,3.44,6,6.5,1,1001640015,0,29,984449,199920,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,244.6082366,2504.412152,220821,14,0,12138,12140,11,2475,23.01466751,25.14888954,2.134222031,24.04135375,0.630136501,264.4548912 +12140,MN,615,18,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,258 WEST 12 STREET,R6, , , , , , , , , ,N,C0,2,0, ,ALICE BATCHELDER FOX,1836,4112,0,3104,0,0,0,0,0,0,2,1,3,3,3,20.67,88.83,21,59,E,3,Y,5,1,35291,132710,1550,1550,1910,0,0,Greenwich Village Historic District, ,2.24,2.43,0,4.8,1,1006150018,0,77,983435,207932,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,227.5243124,1932.024756,97419,8,0,12139,12141,9,2025,23.05999947,23.30666542,0.246665955,23.08740679,0.077519631,207.7866611 +12141,MN,303,10,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,83 BOWERY,C6-1G, , , , , , , , , ,N,C7,4,0, ,BOWERY 8385 LLC,2923,12665,5066,7599,2533,2533,0,0,0,0,2,1,5,12,15,25,114.25,25,99, ,3,Y,5,2,240750,783450,0,0,1910,1980,0, , ,4.33,3.44,6,6.5,1,1003030010,0,16,985545,200410,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,291.6638249,3158.7097,542700,0,0,12140,12142,15,3375,41.4129982,44.21222305,2.799224854,41.59961319,0.698249357,623.9941978 +12142,MN,310,2,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,36 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,J YANG REALTY INC,2188,7690,1950,5740,0,1950,0,0,0,0,2,1,5,8,9,25,87.5,25,54, ,0,N,5,2,26780,263253,0,0,1921,2009,0, , ,3.51,6.02,6,6.5,1,1003100002,0,16,986970,200138,12c, ,101N051,10107, ,0, ,1, , 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ILIBASSI REALTY,2500,11388,0,11388,0,0,0,0,0,0,2,1,6,26,26,25,102,25,81, ,3,N,5,2,235800,1200150,0,0,1901,1983,0, , ,4.56,0,10,10,1,1005970052,0,37,982054,204199,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,253.4256689,2557.387003,964350,0,1,12153,12155,10,2250,10.99400043,10.99400043,0,10.99400043,0,109.9400043 +12155,MN,488,22,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,400 WEST BROADWAY,M1-5A, , , , , , , , , ,N,O5,5,0, ,SF ACQUISITION LLC,1968,9620,9620,0,6020,3600,0,0,0,0,2,1,6,0,7,25,75,20,75,E,3,Y,5,2,442800,2647800,0,0,1910,1989,0,SoHo-Cast Iron Historic District Extensi, ,4.89,0,5,6.5,1,1004880022,0,47,983593,203197,12a, ,101N069,10206, ,1004880070,12/29/1986,1, , ,17V1.1,0,211.8720744,2132.773355,2205000,0,1,12154,12156,10,2250,9.686666489,9.686666489,0,9.686666489,0,96.86666489 +12156,MN,150,7501,101,33,1009,2,1,10007,L001,1,15,7700,3,1, ,70 READE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,8900,56968,30310,26658,12102,17196,0,1012,0,0,2,1,7,8,10,50,178,0,0, ,0,N,0,5,1833751,5610601,0,0,1915,1998,0,Tribeca South Historic District, ,6.4,6.02,6,6.5,1,1001507501,954,33,982389,199931,12b,Y,101S018,10104, ,1001500008,2/26/1997,1, , ,17V1.1,7,479.0309045,9475.742062,3776850,14,0,12155,12157,43,9675,23.54111099,26.43888855,2.897777557,23.65881126,0.538763316,1017.328884 +12157,MN,390,60,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,191 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,EAST 191 LLC,1080,3328,0,3328,0,0,0,0,0,0,2,1,4,5,5,20,57.42,20,40, ,3,Y,5,5,130693,186358,0,0,1910,1985,0, , ,3.08,4,0,4,1,1003900060,0,2602,989669,203385,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,153.6676008,1130.146663,55665,12,1,12156,12158,4,900,9.445555687,9.445555687,0,9.445555687,0,37.78222275 +12158,MN,753,10,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,351 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR29 LLC,2173,5830,0,5830,0,0,0,0,0,0,2,1,4,29,29,22,98.75,22,52, ,3,N,5,1,117450,746550,0,0,1910,1988,0,Lamartine Place Historic District, ,2.68,4,0,4,1,1007530010,0,97,984869,212575,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,249.0715156,2223.990752,629100,6,0,12157,12159,10,2250,28.20800018,34.65000153,6.442001343,30.81811161,2.686371986,308.1811161 +12159,MN,175,22,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,47 WHITE STREET,C6-2A, , , , , , , , , ,N,M1,8,0,P,CIVIC CENTRE SYNAGOGU,4996,12563,12563,0,12563,0,0,0,0,0,2,1,2,0,2,50.08,100,50,99, ,3,Y,5,2,422550,1971450,422550,1971450,1967,0,0,Tribeca East Historic District, ,2.51,6.02,6,6.5,1,1001750022,0,33,983077,200985,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,309.1490047,5178.732305,1548900,14,0,12158,12160,24,5400,17.40222168,22.74333382,5.341112137,18.07523561,1.537083759,433.8056545 +12160,MN,478,36,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,160 BOWERY,C6-1G,C6-1, , , , ,LI, , , ,Y,K4,4,0, ,JOEL HOROWITZ,1667,5272,5272,0,1757,1757,0,1758,0,0,2,1,4,0,1,16.67,100,17,94,E,3,N,5,2,191250,776250,0,0,1900,0,0, , ,3.16,3.44,6,6.5,1,1004780036,0,41,985763,201605,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,237.6172993,1747.65902,585000,0,0,12159,12161,8,1800,35.62666702,35.62666702,0,35.62666702,0,285.0133362 +12161,MN,416,55,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,85 STANTON STREET,C4-4A, , , , , , , , , ,N,C6,2,0, ,85 OWNERS CORP,1925,8928,1488,7440,0,1488,0,0,0,0,2,1,6,10,12,25.67,75,26,64, ,3,N,5,2,155250,868050,11800,11800,1900,1987,0, , ,4.64,4,4,4,1,1004160055,0,3001,987348,202090,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,211.3774253,2116.577709,712800,1,0,12160,12162,10,2250,33.08889008,34.30333328,1.214443207,33.2103344,0.364332962,332.103344 +12162,MN,694,32,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,205 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,C7,4,0, ,TSOUMPAS 203 HOLDINGS,1825,7655,1100,6555,0,1100,0,0,0,0,2,1,5,9,10,24.67,74,25,60, ,3,N,5,1,20427,274003,0,0,1905,1982,2009, , ,4.19,6.02,6,6.5,1,1006940032,0,99,982918,211538,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,204.4094495,2050.150757,253576,2,1,12161,12163,8,1800,9.699999809,9.699999809,0,9.699999809,0,77.59999847 +12163,MN,384,7503,103,22.02,1002,1,2,10009,L018,9,14,7600,3,3, ,310 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,RM,4,0, ,ONE AVENUE B CONDOMIN,4479,27506,8018,19488,0,8018,0,0,0,0,2,1,7,23,25,48.75,292,412,48.8, ,0,Y,0,5,184950,4875751,0,899412,2005,0,0, , ,6.14,6,0,6,1,1003847503,1720,2202,988888,202152,12c, ,102 005,10203, ,1003840004,10/17/2007,1, , ,17V1.1,7,650.8532588,7227.285215,4690800,1,0,12162,12164,34,7650,18.08333397,21.30333328,3.219999313,18.19854961,0.545187393,618.7506866 +12164,MN,620,58,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,78 CHARLES STREET,R6, , , , , , , , , ,N,C6,2,0,P,SEVENTY EIGHT TENANT,2621,9900,0,9900,0,0,0,0,0,0,2,1,5,15,15,27.42,95.58,25,82, ,2,Y,5,2,270000,1116000,0,0,1900,1978,0,Greenwich Village Historic District, ,3.78,2.43,0,4.8,1,1006200058,0,73,983207,206914,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,253.8238655,2692.325994,846000,8,0,12163,12165,12,2700,24.70777702,24.70777702,0,24.70777702,0,296.4933243 +12165,MN,279,14,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,9 OLIVER STREET,R7-2, , , ,C2-5, ,TA, , , ,N,B1,1,0, ,"WONG, RICHARD T",944,3600,0,2880,0,0,0,0,0,0,2,1,4,2,2,20.67,45.67,20.67,33, ,3,N,5,1,17460,53169,5690,5690,1901,0,0, , ,3.81,3.44,0,6.5,1,1002790014,0,27,984750,198959,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,130.9484752,920.1329969,35709,16,0,12164,12166,3,675,17.07600021,17.70088959,0.624889374,17.28429667,0.294575676,51.85289001 +12166,MN,590,54,102,67,1000,2,3,10014,E024,6,15,6400,1,2,2B,71 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K1,5,0,P,"GROVER REALTIES, LLC",1775,1642,1642,0,0,1642,0,0,0,0,2,1,1,0,2,39.5,75.17,39.5,75.16, ,3,Y,5,0,170550,625950,0,0,1900,1986,0,Greenwich Village Historic District, ,0.93,3.44,2,6.5,1,1005900054,0,67,983329,206049,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,196.0835624,1835.775725,455400,9,0,12165,12167,8,1800,19.74111176,20.13111115,0.38999939,19.78986168,0.128980175,158.3188934 +12167,MN,565,2,102,61,3001,2,2,10003,L003,6,15,5700,1,2,3A,39 EAST 13 STREET,C6-1, , , , , , , , , ,N,O6,5,0, ,UTOKILEN LLC,1938,13035,13034,0,5334,3600,0,4100,0,0,2,1,7,0,7,38.17,49.33,38.16,49, ,3,Y,5,2,57150,1840500,0,0,1900,2007,2007, , ,6.73,3.44,6,6.5,1,1005650002,0,61,986506,206888,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,185.3888102,2101.942189,1783350,8,0,12166,12168,10,2250,40.43999863,40.43999863,0,40.43999863,0,404.3999863 +12168,MN,429,45,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,114 EAST 1 STREET,R8A, , , ,C2-5, , , , , ,N,C7,4,0,P,114-16 EAST 1ST LLC,3970,17610,2935,14675,0,2935,0,0,0,0,2,1,6,30,33,37.5,105.92,38,84, ,3,N,5,2,393300,1993950,0,0,1920,1988,0, , ,4.44,6,0,6,1,1004290045,0,3002,987966,202594,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,292.9745851,4094.149382,1600650,1,0,12167,12169,19,4275,25.1779995,27.36111069,2.183111191,25.48066621,0.634619718,484.132658 +12169,MN,501,35,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,149 SPRING STREET,M1-5A, , , , , , , , , ,N,D2,3,0, ,THE LISA SCHIFF 2009,2500,18409,1150,17259,0,1150,0,0,0,0,2,1,8,7,8,25,100,25,99,E,3,N,5,2,445078,1344564,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,7.36,0,5,6.5,1,1005010035,0,49,983882,203232,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,254.6912919,2570.424025,899486,0,0,12168,12170,11,2475,15.00755596,15.00755596,0,15.00755596,0,165.0831156 +12170,MN,621,10,102,73,1001,2,3,10014,L005,6,15,6400,1,2,2K,104 PERRY STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,PERRY 104 LLC,2381,8465,0,8465,0,0,0,0,0,0,2,1,5,14,14,25,95.25,25,68, ,3,N,5,2,155700,1194300,0,0,1901,1973,1984,Greenwich Village Historic District, ,3.56,3.44,2,6.5,1,1006210010,0,73,982711,207061,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,248.8529525,2517.615518,1038600,9,0,12169,12171,11,2475,21.76222229,23.50777817,1.745555878,21.99593943,0.533196074,241.9553337 +12171,MN,489,9,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,73 SULLIVAN STREET,R7-2,M1-5B, , , , , , , , ,Y,D9,3,0,P,73-75 SULLIVAN PARTNE,5000,32125,8099,24026,0,0,0,0,0,8099,2,1,8,12,13,50,100,0,0, ,0,Y,5,5,337500,4218750,0,0,2014,0,0,Sullivan-Thompson Historic District, ,6.43,3.44,0,6.5,1,1004890009,0,47,983224,203226,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,310.7623334,5268.448743,3881250,0,1,12170,12172,24,5400,9.686666489,14.32111168,4.63444519,9.920435071,0.93806347,238.0904417 +12172,MN,231,19,102,47,2013,2,1,10013,E055,1,15,6800,1,2,1A,18 MERCER STREET,M1-5B, , , , , , , , , ,N,C6,2,0, ,18 MERCER EQUITY INC,1694,7560,0,7560,0,0,0,0,0,0,2,1,5.5,7,7,21.08,85.42,21,85,E,3,Y,5,2,196966,495389,2360,2360,1915,1983,1994,SoHo-Cast Iron Historic District, ,4.46,0,5,6.5,1,1002310019,0,47,983749,201778,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,212.090013,1690.057382,298423,0,0,12171,12173,7,1575,12.30000019,12.30000019,0,12.30000019,0,86.10000134 +12173,MN,387,47,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,279 EAST 4 STREET,R8B, , , , , , , , , ,N,C4,2,0,O,NYCHA TRIBOROUGH PRES,2382,15089,0,15089,0,0,0,0,0,0,2,1,6,12,12,24.75,96.17,25,81, ,2,Y,5,1,225000,1390950,225000,1390950,1900,1988,0, , ,6.33,4,0,4,1,1003870047,0,2601,989530,202633,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,242.0314424,2393.273544,1165950,1,1,12172,12174,10,2250,12.50555515,14.40555573,1.900000572,12.7475441,0.573994784,127.475441 +12174,MN,267,1,103,2.02,1004,1,1,10002,E015,7,14,8000,1,3,1B,305 MADISON STREET,R7-2, , , ,C1-5, , , , , ,N,D4,3,0,P,GOUVENEUR GARDENS HSG,53460,136070,9860,126210,0,0,9860,0,0,0,2,2,21,141,143,286.5,168.67,83,76.58, ,0,Y,3,5,1647000,6286950,1647000,6286950,1964,0,0, , ,2.55,3.44,0,6.5,1,1002670001,0,202,988565,199223,12d, ,101N059,10107, ,0, ,1, , ,17V1.1,0,927.3524495,52645.30062,4639950,13,0,12173,12175,235,52875,29.63999939,35.06555557,5.425556183,32.3154852,1.602267577,7594.139021 +12175,MN,698,61,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,544 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,O5,5,0,P,"MUSHLAM, INC.",6599,29922,29922,0,19948,9974,0,0,0,0,2,1,6,0,8,66.87,98.75,67,99,E,2,Y,5,2,315000,1276650,0,0,1910,1989,2004,West Chelsea Historic District, ,4.53,0,5,6.5,1,1006980061,0,99,983039,212825,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,334.0618986,5330.693357,961650,2,1,12174,12176,23,5175,9.857999802,11.92199993,2.06400013,9.970289645,0.42931209,229.3166618 +12176,MN,286,12,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,231 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,W F C C REALTY CORP,1823,8610,0,8610,0,0,0,0,0,0,2,1,6,12,12,20.83,87.5,21,74, ,3,N,5,2,123750,557100,0,0,1900,1985,0, , ,4.72,3.44,0,6.5,1,1002860012,0,201,988116,199378,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,226.6905995,1975.366206,433350,13,0,12175,12177,8,1800,29.71888924,30,0.281110764,29.75402808,0.092968646,238.0322247 +12177,MN,393,19,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,624 EAST 11 STREET,R8B, , , , , , , , , ,N,D9,3,0,P,ELEVENTH STREET REALT,2370,10782,0,10782,0,0,0,0,0,0,2,1,6,25,25,25,94.75,25,81, ,2,N,5,1,315000,1102950,0,0,1900,1987,0, , ,4.55,4,0,4,1,1003930019,0,28,990197,204084,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,243.0493549,2398.769441,787950,12,1,12176,12178,10,2250,7.409999847,7.409999847,0,7.409999847,0,74.09999847 +12178,MN,585,69,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,2 GROVE COURT,R6, , , , , , , , , ,N,A5,1,0, ,LAST LEAF LLC,384,1152,0,1152,0,0,0,0,0,0,2,1,3,1,1,16.25,24.17,16.25,24.17, ,3,Y,6,2,23802,82944,0,0,1901,0,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1005850069,0,73,982649,205971,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,79.82671123,379.2734546,59142,9,0,12177,12179,2,450,18.5988884,20.3144455,1.715557098,19.45666695,0.857778549,38.91333389 +12179,MN,348,28,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,99 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,"ASIAN AMERICAN HDFC,",2525,9850,1500,8350,0,1500,0,0,0,0,2,1,5,11,12,25.25,100,25,88, ,3,N,5,2,94050,504000,88407,473760,1920,1992,0, , ,3.9,4,0,4,1,1003480028,0,1402,988211,201016,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,260.7396775,2736.949236,409950,13,0,12178,12180,11,2475,24.76333427,25.69000053,0.92666626,24.84757666,0.266397819,273.3233433 +12180,MN,406,54,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,521 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,JMS VILLAGE LLC,2581,10100,1200,8900,0,1200,0,0,0,0,2,1,5,18,20,25,103.25,25,84, ,3,N,5,2,225000,775800,0,0,1900,1986,0, , ,3.91,4,0,4,1,1004060054,0,34,989748,204816,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.0829174,2734.85119,550800,12,0,12179,12181,11,2475,13.0880003,13.99222183,0.904221535,13.24806083,0.339692427,145.7286692 +12181,MN,842,42,105,52,2006,2,2,10003,L003,13,15,5700,1,5,1B,71 5 AVENUE,C6-4M,C6-2A, , , , , , , , ,Y,O6,5,0,P,71 FIFTH GROUND LESSO,12250,132121,132121,0,122121,10000,0,0,0,0,2,1,11,0,10,77.42,150,75,150, ,3,Y,3,2,5850000,21073050,0,0,1907,0,0,Ladies' Mile Historic District, ,10.79,10,10,10,1,1008420042,0,52,986233,207554,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,529.4340156,13712.80244,15223100,7,0,12180,12182,61,13725,36.55699921,38.63333511,2.076335907,36.68290104,0.396338825,2237.656963 +12182,MN,479,20,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,16 SPRING STREET,C6-2,C6-1, , , , ,LI, , , ,Y,S3,4,0, ,"LU, CHONG DI",2727,4544,910,3634,0,910,0,0,0,0,2,2,4,3,4,23.75,118.25,24,51,E,3,Y,5,5,89220,323757,0,0,1915,0,0, , ,1.67,6.02,6,6.5,1,1004790020,0,41,985640,202019,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,279.9049435,2561.310349,234537,0,0,12181,12183,11,2475,38.05444717,38.05444717,0,38.05444717,0,418.5989189 +12183,MN,531,7501,102,55.02,2000,2,1,10012,L009,9,15,5700,2,2, ,692 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0,P,BROADWAY ASSOCIATES,15272,156849,83599,73250,4335,79264,0,0,0,0,2,1,12,56,90,45.25,275.25,0,0, ,0,Y,5,5,3131989,22276347,499406,1572279,1912,0,0,NoHo Historic District, ,10.27,0,5,6.5,1,1005317501,70,5502,986032,204459,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,7,733.3450916,17401.45107,19144400,9,0,12182,12184,78,17550,39.91555405,43.48555374,3.569999695,40.32212277,0.912646065,3145.125576 +12184,MN,910,64,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,423 3 AVENUE,C2-8,R7B, , , , , , , , ,Y,C7,4,0, ,MARION AVE.,2716,9358,1570,7788,0,1570,0,0,0,0,2,2,5,8,9,24.67,110,25,88, ,3,N,5,2,142546,616917,0,0,1910,0,0, , ,3.45,10,2,10,1,1009100064,0,70,989836,209896,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,277.9620231,2861.964005,474371,10,0,12183,12185,12,2700,34.88199997,34.88199997,0,34.88199997,0,418.5839996 +12185,MN,630,2,102,75,1005,2,3,10014,L005,6,15,6400,1,2,2B,651 WASHINGTON STREET,R6, , , , , , , , , ,N,A4,1,0, ,THE CHARLES R. MODICA,980,2499,0,2499,0,0,0,0,0,0,2,1,3.5,1,1,17.17,60,17,42, ,3,Y,5,4,11941,53166,1550,1550,1913,0,0,Greenwich Village Historic District Exte, ,2.55,2.43,0,4.8,1,1006300002,0,75,981929,206293,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,161.2423647,1151.538229,41225,9,0,12184,12186,4,900,15.90333366,17.55888939,1.655555725,16.3172226,0.716876658,65.26889038 +12186,MN,635,42,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,123 BANK STREET,C1-6A,R6, , , , , , , , ,Y,D5,3,0, ,ELK 123 BONCK LLC,6685,37064,0,37064,0,0,0,0,0,0,2,1,4,49,49,61.25,95,61,116, ,3,Y,5,1,1174500,5177250,0,0,1930,1978,0,Greenwich Village Historic District, ,5.54,4,2,4,1,1006350042,0,79,982091,207601,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,393.7032504,6804.598097,4002750,8,0,12185,12187,30,6750,13.34599972,14.76111126,1.415111542,13.3931701,0.254020296,401.7951031 +12187,MN,100,1,101,15.01,1012,2,1,10038,E006,1,15,7700,1,1,1B,52 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,I1,8,0,P,NEW YORK DOWNTOWN HOS,62645,301941,301941,0,301941,0,0,0,0,0,2,1,8,0,0,329.71,190.09,240,178.5,E,0,Y,5,5,4914000,35822700,4914000,35822700,1968,0,0, , ,4.82,10,10,10,1,1001000001,0,1501,982861,198079,12b, ,101S021,10103, ,1001000001,12/27/2006,1, , ,17V1.1,0,1070.182304,64238.1906,30908700,4,0,12186,12188,284,63900,16.86300087,29.0755558,12.21255493,17.92531531,2.760369501,5090.789547 +12188,MN,797,7501,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,125 WEST 21 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,9472,65623,6956,58667,0,6956,0,0,0,0,2,1,13,52,53,95,98,95,98, ,0,N,5,5,1066509,13581006,0,2624611,2006,0,0, , ,6.93,7.52,6,7.5,1,1007977501,1839,87,985723,209702,8d, ,103 030,10305,E-92,1007970024,4/18/2008,1, , ,17V1.1,7,401.409794,10056.7853,12514500,7,0,12187,12189,43,9675,28.16444397,33.1582222,4.993778229,31.69120509,2.223186539,1362.721819 +12189,MN,477,75,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,64 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0,P,BROOME PROPERTY OWNER,1680,27383,2191,25192,0,2191,0,0,0,0,2,1,25,10,11,21,80,0,0, ,0,N,5,5,554400,1047150,0,0,0,0,0, , ,16.3,0,10,10,1,1004770075,0,37,982680,203019,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,197.9354465,1637.36774,492750,0,0,12188,12190,8,1800,12.40699959,16.76111221,4.354112625,14.11806953,1.842152503,112.9445562 +12190,MN,793,32,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,105 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,CHELSEA L.P.,2576,8820,1800,7020,1800,0,0,0,0,0,2,2,4,18,19,28,92,26,90, ,3,N,5,2,45000,424350,45000,424350,1940,0,0, , ,3.42,6.02,6,6.5,1,1007930032,0,81,985428,208744,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,250.2009435,2718.821061,379350,7,0,12189,12191,11,2475,27.66555595,27.66555595,0,27.66555595,0,304.3211155 +12191,MN,350,64,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,171 ATTORNEY STREET,R8A, , , , , , , , , ,N,C1,2,0,P,N.K. CAPITAL INC,1680,5779,0,5779,0,0,0,0,0,0,2,1,5,9,9,28,60,28,44, ,3,N,5,0,130709,504934,0,0,1910,2000,2000, , ,3.44,6,0,6,1,1003500064,0,2201,988856,201919,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,179.2316874,1725.202047,374225,1,0,12190,12192,8,1800,19.81333351,20.44666672,0.633333206,19.89250016,0.20945527,159.1400013 +12192,MN,622,29,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,389 BLEECKER STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"EPSTEIN GARDENS, LLC",1368,3240,0,3240,0,0,0,0,0,0,2,1,4,2,2,18.33,75.83,18.33,45, ,3,Y,5,2,26461,140457,0,0,1899,0,0,Greenwich Village Historic District, ,2.37,3.44,2,6.5,1,1006220029,0,73,982922,207270,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,192.5255553,1400.148381,113996,8,0,12191,12193,6,1350,24.5988884,25.6044445,1.005556107,25.03557396,0.449648836,150.2134438 +12193,MN,875,55,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,26 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,D4,3,0, ,26 GRAMMERCY PK OWNER,5750,48234,0,48234,0,0,0,0,0,0,2,1,10,78,78,30,184,30,179, ,0,Y,4,2,778500,5875650,18880,18880,1903,1985,0,Gramercy Park Historic District, ,8.39,3,0,3,1,1008750055,0,50,988225,207808,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,454.1092556,6031.692629,5097150,5,0,12192,12194,26,5850,25.84222221,28.92000008,3.077777863,26.05602565,0.745244444,677.4566669 +12194,MN,592,46,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,92 GROVE STREET,R6, , , , , , , , , ,N,D1,3,0, ,NANCY L. ROTHE,3810,16500,0,16500,0,0,0,0,0,0,2,1,6,24,24,31,100.33,31,80,E,3,Y,5,2,293850,2244600,0,0,1900,1981,0,Greenwich Village Historic District, ,4.33,2.43,0,4.8,1,1005920046,0,71,983755,206471,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,334.1788641,3983.409878,1950750,9,0,12193,12195,17,3825,17.50333405,17.50333405,0,17.50333405,0,297.5566788 +12195,MN,489,15,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,85 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,SULLIVAN LLC,2500,2520,0,1890,0,0,0,0,0,0,2,1,3,3,3,25,100,21,30, ,2,N,5,1,15629,77534,0,0,1901,0,2009,Sullivan-Thompson Historic District,85 SULLIVAN STREET,1.01,3.44,0,6.5,1,1004890015,0,47,983298,203341,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,255.615394,2489.330941,61905,0,1,12194,12196,12,2700,9.686666489,16.18000031,6.493333817,13.66259249,2.50239259,163.9511099 +12196,MN,834,22,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,29 WEST 32 STREET,C6-4, , , , , , , , , ,N,O6,5,0, ,"ROSENTHAL , HELEN",15050,206388,206388,0,185923,20115,0,350,0,0,2,1,12,0,51,100,197.5,100,198, ,3,Y,5,2,4050000,20937150,0,0,1908,2014,0, , ,13.71,10,10,10,1,1008340022,0,76,987862,211817,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,616.6823263,15984.19471,16887200,10,0,12195,12197,71,15975,45.84899902,47.06555557,1.216556549,45.89186757,0.209084019,3258.322598 +12197,MN,849,53,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O, EAST 21 STREET,M1-5M, , , , , , , , , ,N,G6,10,0, ,COSMOPLITAN PARKINGCO,4600,0,0,0,0,0,0,0,0,0,7,1,0,0,0,50,92,0,0, ,0,N,5,5,1528650,1528650,0,0,0,0,0,Ladies' Mile Historic District, ,0,0,5,6.5,1,1008490053,0,52,987405,208597,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,294.3134138,4828.171925,0,5,0,12196,12198,23,5175,34.69888687,40.18666458,5.48777771,38.51358463,1.381778336,885.8124466 +12198,MN,285,19,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,213 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,H88 MANAGEMENT INC.,2100,5507,1200,4307,0,1200,0,0,0,0,2,1,5,5,6,24,87.5,24,51,E,3,N,5,5,108388,273986,0,0,1910,0,0, , ,2.62,3.44,0,6.5,1,1002850019,0,6,987701,199423,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,231.5349914,2171.110649,165598,13,0,12197,12199,12,2700,23.9640007,29.57333374,5.609333038,24.52342653,1.552617508,294.2811184 +12199,MN,537,37,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,151 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,SHELLVILLE REALTY CO.,5717,26892,5197,21695,0,5197,0,0,0,0,2,2,6,40,44,57.17,100,57,100,E,2,N,3,2,205650,4468950,0,0,1900,0,0,South Village Historic District, ,4.7,3.44,0,6.5,1,1005370037,0,65,984424,204698,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,328.3166081,6355.720866,4263300,9,0,12198,12200,28,6300,27.39777756,28.74444389,1.346666336,27.50749976,0.325490838,770.2099934 +12200,MN,912,55,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,218 EAST 32 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,THE ISOLINA GERONA AS,1852,2811,0,2811,0,0,0,0,0,0,2,1,4,3,3,18.75,98.75,18.75,50, ,3,N,5,2,27281,54265,1550,1550,1901,0,0, , ,1.52,3,0,3,1,1009120055,0,70,990261,210293,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,238.5738276,1834.197729,26984,10,0,12199,12201,8,1800,26.45000076,28.12333298,1.673332214,26.73958373,0.542981465,213.9166698 +12201,MN,552,62,102,65,1000,2,1,10011,E033,6,15,5700,1,2,2A,32 WASHINGTON SQUARE W,R7-2, , , , , , , , , ,N,D4,3,0, ,WEST SQUARE CORP,4970,60583,0,60583,0,0,0,0,0,0,2,1,15,31,31,45.08,110.25,45,102, ,2,Y,3,2,540000,6214500,49940,49940,1925,1987,0,Greenwich Village Historic District, ,12.19,3.44,0,6.5,1,1005520062,0,65,984458,205913,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,316.2551916,5152.921731,5674500,9,0,12200,12202,23,5175,17.50333405,17.50333405,0,17.50333405,0,402.576683 +12202,MN,299,28,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,23 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,RACSON GROUP INC.,1614,5355,1000,4355,0,1000,0,0,0,0,2,1,5,8,10,16.75,88.08,16.75,65, ,3,Y,4,2,275597,422500,0,0,1900,2013,0, , ,3.32,6.02,6,6.5,1,1002990028,0,16,986496,199923,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,237.7125509,1681.437305,146903,13,0,12201,12203,6,1350,40.40000153,42.10333252,1.703330994,40.68389002,0.634793982,244.1033401 +12203,MN,425,37,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,155 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,C7,4,0, ,"MAN 441, LLC",1750,6350,1550,4800,0,1550,0,0,0,0,2,1,5,8,9,25.42,69.75,25,48, ,3,Y,5,1,25897,98898,0,0,1905,2013,0, , ,3.63,7.52,6,7.5,1,1004250037,0,18,986194,201738,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,195.602307,1843.677099,73001,13,0,12202,12204,8,1800,38.80888748,42.37555695,3.566669464,39.25472116,1.179565051,314.0377693 +12204,MN,612,10,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,42 PERRY STREET,R6, , , , , , , , , ,N,C4,2,0, ,42 PERRY STREET LLC,2446,9395,0,9395,0,0,0,0,0,0,2,1,5,22,22,25.75,95,26,82, ,3,Y,5,2,187650,1400400,0,771208,1910,1988,0,Greenwich Village Historic District, ,3.84,2.43,0,4.8,1,1006120010,0,73,983496,207214,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,250.6976734,2692.229278,1212750,8,0,12203,12205,11,2475,24.50222206,24.50222206,0,24.50222206,0,269.5244427 +12205,MN,625,16,102,79,4005,2,3,10014,L005,6,15,6100,1,2,3B,319 WEST 12 STREET,C1-6, , , , , , , , , ,N,B9,1,0, ,"FREDERICKS , MARY",1342,3498,0,2596,0,0,0,0,0,0,2,1,3,2,2,22,60.17,22,36,E,3,Y,5,1,27739,132931,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.61,3.44,2,6.5,1,1006250016,0,79,982596,208045,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,168.6049046,1328.758904,105192,8,0,12204,12206,4,900,15.4800005,17.58555603,2.105555534,16.00638938,0.911732291,64.02555752 +12206,MN,450,25,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,342 EAST 9 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,QUAD REALTY LLC,2348,9919,0,9919,0,0,0,0,0,0,2,1,5,15,15,25,93.92,25,75, ,2,N,5,2,200700,1003050,0,0,1900,1983,0, , ,4.22,4,0,4,1,1004500025,0,38,988197,204626,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,248.8130766,2475.866539,802350,12,0,12205,12207,10,2250,25.4810009,27.59000015,2.108999252,25.87581177,0.791924561,258.7581177 +12207,MN,423,126,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,109 CHRYSTIE STREET,C6-3A, , , , , ,TA, , , ,N,K4,4,0, ,TONG FAT REALTY CORP,539,1475,1475,0,468,539,0,468,0,0,2,1,3,0,1,21.58,25,22,25, ,3,Y,5,0,54000,163800,0,0,1900,0,0, , ,2.74,7.52,6,7.5,1,1004230126,0,18,985942,201029,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,99.10700109,611.9829837,109800,0,0,12206,12208,2,450,34.16999817,34.16999817,0,34.16999817,0,68.33999634 +12208,MN,617,47,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,208 WEST 13 STREET,C1-6, , , , , , , , , ,N,I5,8,0,P,THE LESBIAN & GAY SER,15488,27000,27000,0,0,0,0,0,0,27000,2,3,5,55,58,150,103.25,100,90, ,0,N,5,5,2438100,12444300,2438100,12444300,1925,1984,2013,Greenwich Village Historic District, ,1.74,3.44,2,6.5,1,1006170047,0,77,983919,208165,8b,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,507.7139531,15578.46671,10006200,8,0,12207,12209,69,15525,23.28222275,28.23444557,4.952222824,23.70968484,1.160877217,1635.968254 +12209,MN,373,46,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,317 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,317-19 EAST 3RD ST,4664,20076,0,20076,0,0,0,0,0,0,2,1,6,35,35,48.5,96.17,48,80, ,2,N,5,2,225000,804150,225000,441060,1925,1988,1997, , ,4.3,4,0,4,1,1003730046,0,2601,990127,202012,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,298.0410177,4977.312903,579150,1,0,12208,12210,22,4950,12.37111092,13.65888882,1.287777901,12.42984828,0.268200227,273.4566622 +12210,MN,435,24,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,120 ST MARKS PLACE,R8B, , , , , , , , , ,N,C1,2,0, ,120 ST. MARK'S LLC,2519,13689,0,13689,0,0,0,0,0,0,2,1,6,8,8,25.83,97.5,26,50, ,3,N,5,2,115523,316286,0,0,1900,2006,2006, , ,5.43,4,0,4,1,1004350024,0,32,988675,204076,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,254.1794782,2673.024078,200763,12,0,12209,12211,12,2700,18.46888924,19.44911194,0.980222702,18.55057446,0.270919243,222.6068935 +12211,MN,612,36,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,33 CHARLES STREET,R6, , , , , , , , , ,N,A4,1,0, ,"ANDERSON, CLYDE",1639,3196,0,2397,0,0,0,0,0,0,2,1,3,1,1,17.25,95,17.25,47, ,2,N,5,1,20495,209097,0,0,1899,2008,0,Greenwich Village Historic District, ,1.95,2.43,0,4.8,1,1006120036,0,73,983521,207118,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.6840919,1710.720543,188602,8,0,12210,12212,8,1800,24.50222206,25.23666763,0.734445572,24.69458342,0.278785352,197.5566673 +12212,MN,464,34,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,141 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,"SHOUT 1,LLC",3485,17200,2660,14540,0,2660,0,0,0,0,2,1,6,20,22,46.58,74.83,47,74, ,3,N,3,2,850500,3971700,0,0,1900,1988,0, , ,4.94,4,0,4,1,1004640034,0,38,987687,204937,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,259.7666729,4021.365795,3121200,12,0,12211,12213,19,4275,32.10889053,33.84777832,1.738887787,32.26567399,0.464207613,613.0478058 +12213,MN,348,7,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,110 SUFFOLK STREET,R7A, , , , , , , , , ,N,C6,2,0,P,ONE TEN SUFFOLK STREE,2500,11652,0,11652,0,0,0,0,0,0,2,1,6,12,12,25,100,25,89, ,0,N,5,5,157500,1043550,11800,11800,1920,1962,0, , ,4.66,4,0,4,1,1003480007,0,1402,988145,201126,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,251.8293924,2522.996752,886050,13,0,12212,12214,12,2700,24.76333427,29.04555511,4.28222084,25.12018601,1.183543316,301.4422321 +12214,MN,198,27,101,29,1000,2,1,10013,L001,5,15,7700,1,1, ,234 CANAL STREET,M1-5, , , , , , , , , ,N,K2,5,0, ,"224 CANAL STREET, LLC",4178,12534,12534,0,0,12534,0,0,0,0,2,1,2,0,12,54.67,82.17,54,81, ,2,Y,3,2,918000,7547400,0,0,1976,0,0, , ,3,0,5,6.5,1,1001980027,0,29,984263,200749,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,268.1588486,4334.731547,6629400,14,0,12213,12215,20,4500,14.42555523,16.20800018,1.782444954,16.07424459,0.409623622,321.4848919 +12215,MN,770,38,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,174 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,S5,4,0, ,SUSAN REALTY ASSOCIAT,2106,3864,1242,2622,0,1242,0,0,0,0,2,2,4,6,7,23,91.58,23,38, ,3,N,5,2,73678,243890,0,0,1901,0,0, , ,1.83,6,0,6,1,1007700038,0,87,985038,209813,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,232.800377,2115.161511,170212,7,0,12214,12216,9,2025,22.20999908,30.43333244,8.223333359,24.99645615,3.488591031,224.9681053 +12216,MN,858,7501,105,74,3004,2,2,10016,E016,13,15,5200,1,5, ,31 EAST 28 STREET,C5-2, , , , , , , , , ,N,RX,4,0, , ,4525,48917,5977,42940,0,5231,0,746,0,0,2,1,12,21,42,45.83,98.75,45.83,98.75, ,0,N,0,5,1349997,8050049,2360,2360,1913,0,0, , ,10.81,10,10,10,1,1008587501,1664,74,988455,210292,8d, ,104 017,10306, ,1008580027,4/19/2007,1, , ,17V1.1,7,298.9264958,4782.364146,6700050,11,0,12215,12217,20,4500,36.10889053,36.10889053,0,36.10889053,0,722.1778107 +12217,MN,643,69,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,79 HORATIO STREET,R6, , , , , , , , , ,N,A4,1,0, ,"79K HORATIO, LLC",1938,6010,0,6010,0,0,0,0,0,0,2,1,4,1,1,24.56,84.25,23,52, ,0,N,5,5,235627,432464,0,0,1901,2013,0,Greenwich Village Historic District, ,3.1,2.43,0,4.8,1,1006430069,0,79,982189,208492,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,221.4126318,2138.114265,196837,8,1,12216,12218,6,1350,11.21500015,13.52000046,2.305000305,11.75500027,0.860004981,70.53000164 +12218,MN,635,3,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,737 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,B3,1,0, ,"MERRIMAN, DWIGHT A.",1500,3112,0,3112,0,0,0,0,0,0,2,1,3,2,2,20,77.08,20,50,E,3,Y,5,2,46248,150859,0,0,1899,0,0,Greenwich Village Historic District, ,2.07,4,2,4,1,1006350003,0,79,982021,207576,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,193.0932774,1489.152644,104611,8,0,12217,12219,10,2250,13.34599972,14.46444416,1.118444443,13.60171089,0.382905321,136.0171089 +12219,MN,445,34,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,55 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,53-55 FIRST AVENUE RE,2400,7935,1560,6375,0,1560,0,0,0,0,2,1,5,15,16,24,100,24,64, ,3,N,5,2,225000,1150650,0,0,1900,1960,0, , ,3.31,4,0,4,1,1004450034,0,38,987695,203431,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,254.7846303,2520.124394,925650,1,0,12218,12220,12,2700,29.97444344,32.29333496,2.318891525,30.33916601,0.817284272,364.0699921 +12220,MN,474,6,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,52 GREENE STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,52 GREENE LLC,1875,6363,6363,0,3916,2447,0,0,0,0,2,1,3,0,3,25,75,25,75,E,3,N,5,2,112500,1348650,0,0,1912,1989,0,SoHo-Cast Iron Historic District, ,3.39,0,5,6.5,1,1004740006,0,47,983824,202359,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,207.0050484,1959.451504,1236150,0,0,12219,12221,8,1800,14.17000008,17.25222206,3.082221985,14.55527782,1.019349107,116.4422226 +12221,MN,10,33,101,9,1026,2,1,10004,L015,1,15,7700,1,1, ,8 STONE STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0, ,B.H. 8 STONE STREET C,6834,143730,0,0,0,0,0,0,0,0,2,1,43,0,1,71.5,125,71.12,125, ,0,Y,4,2,3690450,35656200,0,0,2007,0,0, , ,21.03,10,15,15,1,1000100033,0,9,980840,195705,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,405.3126174,7113.453137,31965800,17,1,12220,12222,28,6300,9.771111488,9.789999962,0.018888474,9.788706337,0.004668861,274.0837774 +12222,MN,233,10,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,137 GRAND STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,KEE YIP REALTY 137 LL,2895,21500,21500,0,18800,2700,0,0,0,0,2,1,7,0,10,35.92,80.08,36,72, ,3,Y,5,2,207450,1689300,0,0,1920,1983,0,SoHo-Cast Iron Historic District Extensi, ,7.43,0,5,6.5,1,1002330010,0,45,984325,201639,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,239.2618767,3012.149002,1481850,0,0,12221,12223,13,2925,17.40800095,23.63555527,6.227554321,17.94082143,1.654376961,233.2306786 +12223,MN,898,42,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,226 EAST 18 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,226 OWNERS CORP,1440,4815,0,4815,0,0,0,0,0,0,2,1,4,6,6,18,80,18,52,E,3,N,5,1,85262,402279,0,0,1920,1970,0,Stuyvesant Square Historic District, ,3.34,3,0,3,1,1008980042,0,48,988611,207099,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,203.5337872,1553.346269,317017,5,0,12222,12224,6,1350,22.7840004,24.59333229,1.809331894,23.08555571,0.674298185,138.5133343 +12224,MN,463,14,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,10 ST MARKS PLACE,R8B, , , , , , , , , ,N,C1,2,0, ,JEANETTE SPATZ,3120,10840,0,10840,0,0,0,0,0,0,2,1,5,20,20,26,120,26,94, ,3,N,5,2,241200,935550,0,0,1900,0,0, , ,3.47,4,0,4,1,1004630014,0,38,987190,204886,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,296.1126318,3173.462889,694350,12,0,12223,12225,14,3150,34.15777969,38.26222229,4.104442596,34.71531895,1.182029448,486.0144653 +12225,MN,284,19,103,6,3001,2,1,10002,E015,7,14,7800,1,3,1B,183 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,D6,4,0, ,WAI SUN REALTY LLC,5871,30996,3521,27475,0,2236,0,0,0,1285,2,1,6,20,22,26.08,175,0,0, ,0,Y,4,5,450000,4130100,0,746184,2007,2006,0, , ,5.28,3.44,0,6.5,1,1002840019,0,6,987279,199320,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,458.0816482,6241.289322,3680100,13,0,12224,12226,31,6975,20.93000031,25.77111053,4.841110229,22.02627976,1.640316952,682.8146725 +12226,MN,906,19,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,235 EAST 25 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,PRAIRIE OCEAN REALTY,3950,13135,1200,11935,0,1200,0,0,0,0,2,1,6,22,25,40,98.75,40,85, ,3,N,5,2,157500,1485000,0,0,1900,1957,0, , ,3.33,4,0,4,1,1009060019,0,66,989641,208754,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,283.2224482,4064.42637,1327500,11,0,12225,12227,18,4050,29.90777779,31.99555588,2.087778091,30.16041978,0.63313502,542.8875561 +12227,MN,204,32,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,177 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,K4,4,0, ,DALILAI REALTY CORP,1574,7875,7875,0,1500,1500,0,4875,0,0,2,1,5,0,4,20.83,74.83,21,64,E,3,Y,5,2,360000,1110600,0,0,1915,0,0, , ,5,3.44,6,6.5,1,1002040032,0,41,984995,200469,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,194.977334,1633.75242,750600,14,0,12226,12228,7,1575,36.00444412,36.00444412,0,36.00444412,0,252.0311089 +12228,MN,449,49,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,65 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,65 EAST SEVENTH STREE,2437,6724,0,6724,0,0,0,0,0,0,2,1,4,5,5,25,97.5,25,70, ,3,N,5,5,134079,182449,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,2.76,4,0,4,1,1004490049,0,38,987919,204380,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.4696948,2505.887424,48370,12,0,12227,12229,12,2700,25.48777771,28.02000046,2.532222748,25.89657402,0.914671543,310.7588882 +12229,MN,306,4,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,68 FORSYTH STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,FRIENDSHIP REALTY LLC,2500,9119,1875,7244,0,1875,0,0,0,0,2,1,5,16,18,25,100,25,75, ,3,N,5,2,168750,473400,0,0,1900,0,0, , ,3.65,3.44,6,6.5,1,1003060004,0,16,986116,200479,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,254.9001474,2584.67023,304650,13,0,12228,12230,13,2925,37.59777832,40.46222305,2.864444733,38.09799194,0.946823956,495.2738953 +12230,MN,441,1,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4B,218 1 AVENUE,C1-7A, , , , , , , , , ,N,C7,4,0, ,218 FIRST AVENUE ASSO,1716,8988,1354,7634,0,1354,0,0,0,0,2,1,6.5,12,13,26,66,26,66,E,2,N,3,2,154350,2393100,0,0,1900,2005,2005, , ,5.24,6.02,2,6.5,1,1004410001,0,34,989032,205473,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,187.3433365,1740.08148,2238750,12,0,12229,12231,7,1575,17.51499939,19.93666649,2.421667099,17.86095183,0.84740696,125.0266628 +12231,MN,39,38,101,7,1017,2,1,10005,E004,1,15,7700,1,1,1B,126 WATER STREET,C5-5, , , , , ,LM, , , ,N,H3,5,0, ,HCIN WATER STREET ASS,2562,42568,0,0,0,0,0,0,0,0,2,1,26,0,1,41.5,65,40.5,64.79, ,1,Y,5,2,1383300,8887950,0,0,2007,0,0, , ,16.62,10,15,15,1,1000390038,0,7,982245,196340,12b, ,101S006,10101, ,0, ,1,1,1,17V1.1,0,221.7269654,2923.769753,7504650,4,1,12230,12232,13,2925,7.76222229,9.031110764,1.268888474,7.910136736,0.367252815,102.8317776 +12232,MN,573,11,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,60 WEST 10 STREET,R6, , , , , , , , , ,N,D1,3,0, ,CASTEGA-60 WET 10THST,3920,20797,0,20797,0,0,0,0,0,0,2,1,7,27,27,42.42,92.25,42,80, ,3,N,5,2,428850,1944000,0,0,1910,0,0,Greenwich Village Historic District, ,5.31,2.43,0,4.8,1,1005730011,0,63,984764,206808,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,272.7326616,4005.904244,1515150,8,0,12231,12233,18,4050,18.98099899,22.74222183,3.761222839,19.18995582,0.861551058,345.4192047 +12233,MN,488,16,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,178 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,HWS 178 SPRING STREET,1260,5049,810,4239,0,810,0,0,0,0,2,1,5,4,4,20.33,63.58,20.33,45,E,3,Y,5,5,185608,252825,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.01,3.44,0,6.5,1,1004880016,0,47,983538,203289,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,174.2404754,1366.46881,67217,0,1,12232,12234,6,1350,9.686666489,9.686666489,0,9.686666489,0,58.11999893 +12234,MN,528,38,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,27 BEDFORD STREET,R6, , , , , , , , , ,N,C7,4,0,P,CALIGNERO LLC,1481,3160,800,2360,0,800,0,0,0,0,2,1,4,7,8,19.75,75,20,56, ,3,N,5,2,103281,323804,0,0,1900,0,0,Greenwich Village Historic District Exte, ,2.13,2.43,0,4.8,1,1005280038,0,67,983205,204924,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,194.7963464,1558.415754,220523,9,0,12233,12235,6,1350,15.79399967,15.79399967,0,15.79399967,0,94.76399803 +12235,MN,643,70,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,81 HORATIO STREET,R6, , , , , , , , , ,N,B1,1,0, ,HORATIO ST. LLC,1943,6000,0,4800,0,0,0,0,0,0,2,1,4,2,2,23,89.92,23,52, ,3,Y,5,1,40638,207000,0,0,1910,2009,2008,Greenwich Village Historic District, ,3.09,2.43,0,4.8,1,1006430070,0,79,982166,208491,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,213.9124705,1816.411384,166362,8,1,12234,12236,12,2700,11.21500015,14.09000015,2.875,11.80509273,1.038946172,141.6611128 +12236,MN,823,76,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,62 WEST 22 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,W.G.W. COMPANY,1778,3312,3312,0,1656,1656,0,0,0,0,2,1,2,0,2,18,98.75,18,92, ,3,N,5,2,123750,605700,0,0,1940,0,0,Ladies' Mile Historic District, ,1.86,6.02,6,6.5,1,1008230076,0,58,986175,209566,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,238.7689803,1891.360466,481950,7,0,12235,12237,9,2025,33.74333191,34.11888886,0.375556946,33.78506046,0.118026161,304.0655441 +12237,MN,909,9,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,217 EAST 28 STREET,R8B, , , , , , , , , ,N,O2,5,0,P,SELF-REALIZATION FELL,2304,5785,5785,0,5785,0,0,0,0,0,2,1,3,0,0,23.33,98.75,23.33,94, ,0,N,5,5,157500,591300,157500,591300,1893,0,0, , ,2.51,4,0,4,1,1009090009,0,66,989814,209541,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,250.5556549,2395.694886,433800,11,0,12236,12238,10,2250,34.61700058,39.85111237,5.234111786,35.44380074,1.725237037,354.4380074 +12238,MN,743,52,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,310 WEST 20 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,310 W. 20TH PARTNERS,2300,5238,0,5238,0,0,0,0,0,0,2,1,3,33,33,25,92,25,79,E,3,N,5,2,126450,1320750,0,0,1900,0,0, , ,2.28,3,0,3,1,1007430052,0,89,984048,210175,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,239.7492594,2410.318246,1194300,7,0,12237,12239,11,2475,15.57888889,20.71555519,5.136666298,16.04585856,1.476687735,176.5044441 +12239,MN,832,27,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,14 WEST 31 STREET,M1-6, , , , , , , , , ,N,U0,7,0, ,CONSOLIDATED EDISON C,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,0,0,0,0, ,0,N,0,5,20157000,76157000,0,0,0,0,0, , ,0,0,10,10,1,1008320027,0,76,987746,211341,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,818.1567495,36077.40868,56000000,10,0,12238,12240,161,36225,43.44111252,45.77000046,2.328887939,44.01525232,0.539456491,7086.455624 +12240,MN,697,7501,104,99,1038,2,3,10001,E003,10,15,5500,2,4, ,543 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,RK,5,0, , ,6458,73489,73489,0,0,0,0,0,0,73489,2,1,20,0,21,65.25,98.75,65,98, ,0,N,0,5,368101,10323903,17181,481858,2005,0,0,West Chelsea Historic District, ,11.38,0,5,6.5,1,1006977501,1611,99,982881,212498,8b, ,15S 004,10301, ,1006970010,1/4/2007,1,1,1,17V1.1,7,332.944208,6573.447465,9955800,2,1,12239,12241,31,6975,8.569999695,8.930000305,0.36000061,8.918387382,0.063606598,276.4700089 +12241,MN,474,13,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,55 MERCER STREET,M1-5B, , , , , , , , , ,N,L9,6,0, ,MKFH LLC,3437,17390,17390,0,0,3394,0,0,0,13996,2,1,5,0,5,25,125,25,125, ,3,Y,5,2,618750,2817900,0,0,1900,2010,2013,SoHo-Cast Iron Historic District, ,5.06,0,5,6.5,1,1004740013,0,47,983913,202315,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,331.1053832,3585.785664,2199150,0,0,12240,12242,17,3825,14.17000008,14.17000008,0,14.17000008,0,240.8900013 +12242,MN,619,9,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,252 WEST 10 STREET,C1-6, , , , , , , , , ,N,S5,4,0,P,HUDSON ASSOCIATES LLC,1050,4440,1150,3290,0,1150,0,0,0,0,2,1,4,5,6,34.92,18.71,18,34, ,3,Y,3,5,181738,498260,0,0,1900,2005,0,Greenwich Village Historic District, ,4.23,3.44,2,6.5,1,1006190009,0,73,982567,206573,12a, ,103 012,10210, ,1006190009,10/25/2007,1, , ,17V1.1,0,136.2937154,902.34079,316522,9,0,12241,12243,3,675,20.56999969,20.56999969,0,20.56999969,0,61.70999908 +12243,MN,642,56,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,828 GREENWICH STREET,R6, , , , , , , , , ,N,C0,2,0, ,"TGOE PROPERTIES, LLC",1562,3582,0,2664,0,0,0,0,0,0,2,1,2,3,3,22.75,71.83,22.75,42, ,3,Y,5,1,32220,102475,0,0,1899,0,0,Greenwich Village Historic District, ,2.29,2.43,0,4.8,1,1006420056,0,79,982397,208368,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,190.9779986,1680.702377,70255,8,1,12242,12244,10,2250,10.79777813,11.15688896,0.359110832,10.83368921,0.10773325,108.3368921 +12244,MN,440,34,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,203 AVENUE A,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,NEW YORK EQUITY FUND,2575,9270,1050,8220,0,1050,0,0,0,0,2,2,5,8,9,25.75,100,26,50, ,3,N,5,2,355760,1473862,327299,1355953,1910,1986,2008, , ,3.6,4,0,4,1,1004400034,0,34,989419,205073,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,258.9955474,2746.184405,1118100,12,0,12243,12245,11,2475,16.59444427,18.12111092,1.526666641,16.90240392,0.57312751,185.9264431 +12245,MN,387,128,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3Q,638 EAST 6 STREET,R8B, , , , , , , , , ,N,P5,8,0,P,6TH STREET COMMUNITY,2037,4817,4817,0,0,0,0,0,0,4817,2,1,3,0,1,21,97,21,97, ,2,N,5,2,87300,354600,87300,354600,1900,0,0, , ,2.36,4,0,4,1,1003870128,0,2601,989723,202927,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,244.6190139,2167.392235,267300,1,1,12244,12246,10,2250,10.26099968,10.54277802,0.281778336,10.29715528,0.085259156,102.9715528 +12246,MN,744,7,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,359 WEST 20 STREET,C2-6A,R7B, , , , , , , , ,Y,C2,2,0, ,"GARMENDIA, MIGUD JAVI",1591,4472,0,4472,0,0,0,0,0,0,2,1,3.5,5,5,21.5,74,22,45, ,3,N,5,5,269354,410982,0,0,1900,1985,0,Chelsea Historic District, ,2.81,4,2,4,1,1007440007,0,89,983665,210549,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,203.7538909,1832.067654,141628,7,0,12245,12247,8,1800,15.84222221,16.54822159,0.705999374,15.93047214,0.233487346,127.4437771 +12247,MN,818,10,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,43 WEST 16 STREET,C6-2M, , , , , , , , , ,N,D9,3,0, ,FM UNITED LLC,5980,64049,0,64049,0,0,0,0,0,0,2,1,12,95,95,65,92,65,88,E,3,N,5,2,2250000,8662500,0,0,1911,1986,0, , ,10.71,6.02,6,6.5,1,1008180010,0,54,985636,208349,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,320.6145135,6199.658396,6412500,7,0,12246,12248,28,6300,31.11599922,31.11599922,0,31.11599922,0,871.2479782 +12248,MN,906,15,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,227 EAST 25 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,PRAIRIE OCEAN REALTY,7900,32070,0,32070,0,0,0,0,0,0,2,3,5,60,60,80,98.75,27,88, ,3,N,5,2,360000,3155850,0,0,1900,1959,0, , ,4.06,4,0,4,1,1009060015,0,66,989588,208783,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,363.2228987,8128.871032,2795850,11,0,12247,12249,37,8325,29.90777779,32.95666504,3.048887253,30.10150744,0.679936832,1113.755775 +12249,MN,412,42,103,30.01,1000,1,1,10002,L018,7,14,6600,1,3,2A,168 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,168 LUDLOW B LLC,2215,8610,1722,6888,0,1722,0,0,0,0,2,1,5,17,19,24.75,89.5,24.75,75, ,0,N,5,5,90000,1623600,0,1140566,1900,2009,0, , ,3.89,4,4,4,1,1004120042,0,3001,987737,202096,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.6012964,2236.850699,1533600,1,0,12248,12250,10,2250,30.23399925,32.83333206,2.599332809,30.81535492,0.986838083,308.1535492 +12250,MN,745,29,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,309 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,309 WEST 21ST STREET,2469,9250,0,9250,0,0,0,0,0,0,2,1,5,16,16,25,98.75,25,71, ,3,N,5,2,149850,843750,0,0,1900,1988,0, , ,3.75,3,0,3,1,1007450029,0,89,984262,210512,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,256.7368576,2602.731597,693900,7,0,12249,12251,12,2700,15.97222233,22.24222183,6.269999504,18.24799991,2.801196815,218.9759989 +12251,MN,440,30,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,444 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,444 EAST 13 LLC,2504,10710,0,10710,0,0,0,0,0,0,2,1,6,15,15,24.25,103.25,24,86, ,3,N,5,2,134550,297450,0,0,1900,1981,0, , ,4.28,4,0,4,1,1004400030,0,34,989383,205139,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,263.4376689,2621.30366,162900,12,0,12250,12252,11,2475,16.59444427,18.36000061,1.765556335,16.7549494,0.50756176,184.3044434 +12252,MN,576,42,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,64 5 AVENUE,C6-4,C6-2, , , , , , , , ,Y,W6,8,0,P,NEW SCHOOL/SOCIAL RES,6045,49391,49391,0,0,0,0,0,0,49391,2,1,8,0,2,51.5,115,51.5,115, ,3,Y,5,2,1231200,3883050,1231200,3883050,1920,1925,0, , ,8.17,10,10,10,1,1005760042,0,63,985733,207128,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,370.1849947,6587.882579,2651850,8,0,12251,12253,29,6525,23.70299912,36.22999954,12.52700043,29.26834106,4.287962012,848.7818909 +12253,MN,67,1,101,15.02,1006,2,1,10038,E004,1,15,7700,1,1, ,59 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,59 MAIDEN LANE ASSOC,59391,1073000,1073000,0,1049755,23245,0,0,0,0,2,1,44,0,57,286.4,261.71,218,180, ,2,Y,3,2,31185000,99165150,0,0,1965,1965,0, , ,18.07,10,15,15,1,1000670001,0,1502,982037,197460,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,1036.820322,59810.95776,67980200,4,0,12252,12254,264,59400,15.74444485,34.30110931,18.55666447,21.06685172,1.809198718,5561.648854 +12254,MN,417,68,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,86 STANTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"ZARIN, ROBERT",2180,11328,1700,9628,0,1700,0,0,0,0,2,1,6,15,19,43.58,50,42,52, ,3,Y,3,2,360000,1872000,0,0,1920,1986,0, , ,5.2,4,4,4,1,1004170068,0,3001,987405,202185,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,196.373683,2380.565498,1512000,1,0,12253,12255,10,2250,33.19499969,33.19499969,0,33.19499969,0,331.9499969 +12255,MN,372,55,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,290 EAST 2 STREET,R8A, , , , , , , , , ,N,C6,2,0,P,290 E 2ND ST,5298,17990,0,17990,0,0,0,0,0,0,2,1,5,20,20,50,105.92,50,70, ,2,N,5,2,225000,826200,225000,618720,1920,1987,0, , ,3.4,6,0,6,1,1003720055,0,2202,989923,201819,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,318.3889507,5541.73912,601200,1,1,12254,12256,26,5850,12.00399971,14.52777767,2.523777962,12.91032461,1.148797369,335.6684399 +12256,MN,286,21,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,259 EAST BROADWAY,R7-2, , , , , , , , , ,N,C7,4,0,P,259 EAST BROADWAY ASS,2185,12076,2000,10075,0,2000,0,0,0,0,2,1,6,15,18,23,95,23,84,E,2,N,3,2,148500,860850,0,0,1900,1988,0, , ,5.53,3.44,0,6.5,1,1002860021,0,201,988290,199484,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,242.8747689,2299.975453,712350,13,0,12255,12257,12,2700,30.16900063,36.47777939,6.308778763,31.21657467,2.342466143,374.598896 +12257,MN,906,39,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,230 EAST 26 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,"230 EAST 26TH STREET,",2716,10755,0,10755,0,0,0,0,0,0,2,1,5,22,22,27.5,98.75,28,87, ,3,N,5,2,225000,1193400,0,0,1940,1988,0, , ,3.96,4,0,4,1,1009060039,0,66,989685,208846,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,263.3769908,2979.425848,968400,11,0,12256,12258,13,2925,30.96199989,35.56666565,4.604665756,31.31620495,1.227002314,407.1106644 +12258,MN,772,71,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,248 WEST 23 STREET,C2-7A, , , , , , , , , ,N,D4,3,0, ,CHELSEA TENANT OWNERS,2469,13719,2286,11433,0,2286,0,0,0,0,2,1,6,5,6,25,98.75,25,98,E,3,N,5,2,172963,955695,7080,7080,1920,0,0, , ,5.56,7.52,2,7.5,1,1007720071,0,91,984916,210559,8d, ,105S009,10304, ,0, ,1, , 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+12271,MN,472,23,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,237 CENTRE STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,A TRENKMANN EST INC,1595,3888,3888,0,2592,1296,0,0,0,0,2,1,3,0,3,25.08,65.33,24,52, ,3,Y,5,2,225000,553950,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,2.44,0,5,6.5,1,1004720023,0,45,984680,201673,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,183.0127634,1645.528083,328950,0,0,12270,12272,7,1575,28.8239994,29.15422249,0.330223083,28.87117413,0.115554008,202.0982189 +12272,MN,281,63,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,5 DIVISION STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,5 DIVISON ST RLTY CP,1922,5265,3100,2165,1500,1600,0,0,0,0,2,1,4,1,3,27.08,71.17,22,70,E,2,Y,5,2,157500,406350,0,0,1900,1989,0, , ,2.74,3.44,6,6.5,1,1002810063,0,8,985037,199362,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,206.2778915,2159.637662,248850,16,0,12271,12273,9,2025,35.10200119,37.65555573,2.553554535,36.03829702,0.936333071,324.3446732 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+12275,MN,294,27,103,16,5006,2,1,10002,E015,7,14,7400,1,3,2B,38 CANAL STREET,C6-2, , , , , , , , , ,N,S3,4,0,P,144 DIVISION LLC,479,1880,470,1410,0,470,0,0,0,0,2,1,4,3,4,20,30,20,30, ,2,Y,3,5,85442,124538,0,0,1910,1984,0, , ,3.92,6.02,6,6.5,1,1002940027,0,16,986657,199615,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,98.05439818,564.2338022,39096,13,0,12274,12276,2,450,39.21699905,39.21699905,0,39.21699905,0,78.43399811 +12276,MN,411,8,103,30.01,2001,1,1,10002,L018,7,14,6600,1,3,2A,160 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,160 ORCHARD STREET IN,2171,8680,1135,7545,0,1135,0,0,0,0,2,2,5,28,30,24.67,88,25,43, ,0,N,5,2,180000,817650,0,0,1900,0,0, , ,4,4,4,4,1,1004110008,0,3001,987435,201948,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,227.2226928,2097.651067,637650,1,0,12275,12277,10,2250,31.68099976,35.98888779,4.307888031,32.58501053,1.701274477,325.8501053 +12277,MN,621,43,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,84 PERRY STREET,C1-6,R6, , , , , , , , ,Y,A4,1,0, ,"BERKOWER, 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,17V1.1,0,536.7626541,16258.35131,1637550,7,0,12284,12286,74,16650,21.88888931,21.88888931,0,21.88888931,0,1619.777809 +12286,MN,819,66,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,40 WEST 18 STREET,C6-4A, , , , , , , , , ,N,L8,6,0,P,WEST 18 REALTY CORP.,2300,8200,8200,0,0,2000,0,6200,0,0,2,1,4,0,4,25,92,25,90,E,2,N,5,2,202500,751050,0,0,1910,0,0,Ladies' Mile Historic District, ,3.57,10,10,10,1,1008190066,0,54,985898,208594,8d, ,102 041,10306,R-17,0, ,1, , ,17V1.1,0,248.2199051,2515.281382,548550,7,0,12285,12287,12,2700,32.36888886,35.30111313,2.932224274,32.61324088,0.810423976,391.3588905 +12287,MN,349,19,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,165 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,37-39 CLINTON LLC,2500,11620,1800,9820,0,1800,0,0,0,0,2,1,5,16,20,25,100,25,100, ,2,Y,3,2,282150,1486350,0,0,1920,1984,0, , ,4.65,4,0,4,1,1003490019,0,3001,988492,201621,12c, ,102 005,10201, ,0, ,1, , 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,17V1.1,0,266.3085201,2833.921087,474230,8,0,12290,12292,13,2925,25.65555573,28.16255569,2.506999969,25.96700874,0.650682162,337.5711136 +12292,MN,779,7501,105,95,2000,2,3,10001,L024,14,15,5200,1,5, ,252 WEST 30 STREET,M1-6D, , , , , , , , , ,N,RM,4,0, ,ART DECO CONDO ASSOC,4913,46933,9816,37117,0,0,0,530,0,9286,2,1,15,24,25,49.75,98.75,0,0, ,0,N,5,5,386999,5405397,54980,145000,1927,1985,0, , ,9.55,10,10,10,1,1007797501,290,95,985667,212250,8d, ,105S021,10304, ,1007790071,12/25/1986,1, , ,17V1.1,7,310.073847,5211.702607,5018400,6,0,12291,12293,23,5175,30.58111,31.05999947,0.478889465,31.03917818,0.097660465,713.9010983 +12293,MN,451,32,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,159 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,"TFN REALTY, LLC",3312,16548,3500,13048,1000,2500,0,0,0,0,2,1,6,30,34,46,72,46,72, ,2,N,3,2,334350,2583450,0,0,1900,1986,0, , ,5,4,0,4,1,1004510032,0,40,988461,204786,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,249.2482281,3731.066876,2249100,12,0,12292,12294,16,3600,23.10400009,24.32666588,1.222665787,23.39655554,0.507057141,374.3448887 +12294,MN,637,40,102,75,1008,2,3,10014,L005,6,15,6400,1,2,2K,159 CHARLES STREET,R6A, , , ,C1-5, , , , , ,N,B9,1,0, ,159 CHARLES STREET OW,2244,4868,0,3568,0,0,0,0,0,0,2,2,3,2,2,22,102.25,22,60,E,3,Y,5,1,35838,124360,0,0,1901,2008,0, ,159 CHARLES STREET HOUSE,2.17,3,0,3,1,1006370040,0,75,981676,206758,12a, ,103 011,10210, ,0, ,1, ,1,17V1.1,0,249.2718764,2198.981752,88522,9,1,12293,12295,11,2475,10.52600002,13.20899963,2.682999611,10.93822219,0.767595564,120.3204441 +12295,MN,218,9,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,430 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, , ,3926,23706,0,23706,0,0,0,0,0,0,2,1,7,9,9,49.08,80,49.08,69,E,2,Y,5,2,788330,1145320,4720,4720,1920,1976,2008,Tribeca North Historic District, ,6.04,6.02,6,6.5,1,1002180009,0,39,981487,202507,12a, ,101N040,10105, ,1002180008,12/29/1993,1, ,1,17V1.1,0,263.3067621,4069.657392,356990,0,1,12294,12296,18,4050,7.816666603,7.816666603,0,7.816666603,0,140.6999989 +12296,MN,835,11,105,76,1001,2,4,10001,L024,14,15,5200,1,5,1A,43 WEST 33 STREET,C6-4.5,C6-6, , , , ,MID, , , ,Y,O5,5,0,P,43 WEST 33RD STREET R,6268,39821,39821,0,34821,5000,0,0,0,0,2,1,6,0,25,63.33,98.75,63,99,E,3,N,5,2,1350000,3546000,0,0,1915,1983,0, , ,6.35,10,12,12,1,1008350011,0,76,987823,212114,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,329.5475766,6411.724548,2196000,10,0,12295,12297,28,6300,45.85200119,46.8706665,1.018665314,45.91255665,0.22306155,1285.551586 +12297,MN,574,31,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,26 WEST 11 STREET,R6, , , , , , , , , ,N,C3,2,0, ,26 WEST 11TH STREET L,2013,3906,0,3906,0,0,0,0,0,0,2,1,4,4,4,21.25,94.75,21,60,E,3,N,5,5,260311,437238,0,0,1920,1987,0,Greenwich Village Historic District, ,1.94,2.43,0,4.8,1,1005740031,0,63,985287,206804,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.1806521,2054.090296,176927,8,0,12296,12298,8,1800,24.13299942,29.63000107,5.497001648,25.73076367,2.215255449,205.8461094 +12298,MN,440,18,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,416 EAST 13 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,M & E 410 E 13 ST LLC,4130,16224,0,16224,0,0,0,0,0,0,2,1,6,35,35,40,103.25,40,90, ,3,Y,5,2,276750,1878300,0,283230,1900,1978,1998, , ,3.93,4,0,4,1,1004400018,0,34,989114,205285,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,310.128835,4406.39103,1601550,12,0,12297,12299,19,4275,16.59444427,16.59444427,0,16.59444427,0,315.2944412 +12299,MN,412,8,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,2A,186 ORCHARD STREET,C4-4A, , , , , , , , , ,N,D6,4,0, ,MAPLES REALTY ASSOCIA,2202,12225,2225,10000,0,2225,0,0,0,0,2,1,6,20,22,25.17,87.5,25,86, ,3,N,5,2,193500,1983150,0,0,1930,0,0, , ,5.55,4,4,4,1,1004120008,0,3001,987571,202299,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.4115292,2338.827605,1789650,1,0,12298,12300,11,2475,34.02799988,35.34222031,1.314220428,34.16123199,0.375961579,375.7735519 +12300,MN,195,13,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3B,85 WALKER STREET,C6-2A, , , , , , , , , ,N,C6,2,0, ,RUCKUS 85 CORP,2398,10850,5326,5524,0,0,0,5326,0,0,2,1,5,3,4,24,100,24,95, ,3,N,5,2,148290,507389,2360,2360,1915,0,0,Tribeca East Historic District, ,4.52,6.02,6,6.5,1,1001950013,0,31,983806,200852,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,260.2356507,2611.453544,359099,14,0,12299,12301,12,2700,13.85000038,16.05333328,2.203332901,14.10185218,0.630086144,169.2222261 +12301,MN,870,7501,105,50,3002,2,2,10003,L003,13,14,5300,1,5, ,1 IRVING PLACE,C6-4, , , , , ,US, , , ,N,RM,4,0, ,EAST UNION SQUARE C,76503,1071823,600190,470546,466387,63105,59634,0,0,11064,2,1,27,645,695,244,425,0,0, ,0,Y,5,5,22213768,163027218,4065904,47046305,1988,0,0, , ,14.01,10,10,10,1,1008707501,449,50,987239,206927,12c, ,102 035,10307, ,1008700002,12/16/1987,1, , ,17V1.1,7,1213.296347,82319.51418,140812992,7,0,12300,12302,363,81675,39.9011116,44.5577774,4.656665802,40.72719858,0.422639867,14783.97308 +12302,MN,133,7,101,21,1005,2,1,10007,L010,1,15,7700,1,1,1A,45 MURRAY STREET,C6-3A, , , , , ,TMU, , , ,N,K4,4,0,P,"LUI, CHI-TIEN",2767,12500,5000,7500,0,5000,0,0,0,0,2,1,5,3,5,27.58,100.17,28,95, ,3,Y,5,2,122400,987750,0,0,1920,1989,0,Tribeca South Historic District Extensio, ,4.52,7.52,6,7.5,1,1001330007,0,21,981707,199479,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,264.04448,2932.947233,865350,3,0,12301,12303,14,3150,25.60300064,26.04899979,0.445999146,25.63485772,0.114862342,358.8880081 +12303,MN,848,8,105,52,2001,2,2,10003,E014,13,15,5700,1,5,1O,9 EAST 19 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,G A M REAL ESTATE,3548,37742,37742,0,34742,3000,0,0,0,0,2,1,10,0,9,45,78.83,45,79, ,3,N,5,2,720000,3181950,0,0,1914,1989,0,Ladies' Mile Historic District, ,10.64,0,5,6.5,1,1008480008,0,52,986889,208485,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,261.2584306,3859.198779,2461950,7,0,12302,12304,16,3600,41.39699936,41.57244492,0.175445557,41.40796471,0.042468607,662.5274353 +12304,MN,719,73,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,456 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,456 W 22ND STREET PAR,2462,5000,0,5000,0,0,0,0,0,0,2,1,4,15,15,25,98.75,25,58, ,3,N,5,1,108450,549000,0,0,1920,0,0,Chelsea Historic District, ,2.03,3,0,3,1,1007190073,0,89,983197,211217,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,249.0921554,2562.288763,440550,7,1,12303,12305,12,2700,10.39400005,13.01666641,2.622666359,11.36988894,1.039789055,136.4386673 +12305,MN,248,70,103,6,2004,1,1,10002,E015,7,14,7800,1,3,1B,80 RUTGERS SLIP,C6-4, , , , , , , , , ,N,D9,3,0,X,TWO BRIDGES SENIOR A,20095,83904,0,83904,0,0,0,0,0,0,2,1,10,109,109,192.37,112,53,139, ,1,N,1,0,1345500,5801850,1345500,5801850,1987,0,0, , ,4.18,10,10,10,1,1002480070,0,6,986969,198241,12d, ,101N053,10106, ,1002480049,10/20/1993,1,1,1,17V1.1,0,588.1206532,19762.03698,4456350,16,1,12304,12306,89,20025,6.560333252,12.20311165,5.642778397,9.234105014,1.134556151,821.8353462 +12306,MN,771,10,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,255 WEST 21 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,GARY TANNENBAUM,1646,5100,0,4250,0,0,0,0,0,0,2,1,5,2,2,16.67,98.75,17,50, ,3,N,5,1,14963,145008,0,0,1910,2008,2008, , ,3.1,4,0,4,1,1007710010,0,87,984630,210307,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,235.910737,1726.133337,130045,7,0,12305,12307,7,1575,21.99111176,24.97000122,2.978889465,22.94577844,1.196511147,160.6204491 +12307,MN,773,79,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,260 WEST 24 STREET,R8A, , , , , , , , , ,N,A4,1,0, ,DANIEL J. ROTHMAN,1646,3335,0,3335,0,0,0,0,0,0,2,1,4,1,1,16.67,98.75,16.67,50, ,3,N,5,2,52104,203721,0,0,1920,1986,2004, , ,2.03,6,0,6,1,1007730079,0,91,984940,210885,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,243.2830195,1892.837305,151617,2,0,12306,12308,9,2025,23.38899994,26.2211113,2.832111359,24.13019753,1.078135604,217.1717777 +12308,MN,174,10,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,71 LEONARD STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,LEONARD STREET PROPER,2446,12927,2000,10927,0,2000,0,0,0,0,2,1,5,9,10,24.25,100,24,95,E,3,N,5,2,381421,707200,0,0,1910,1978,0,Tribeca East Historic District, ,5.28,6.02,6,6.5,1,1001740010,0,33,982792,200745,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,250.8889739,2444.037815,325779,14,0,12307,12309,11,2475,21.5755558,21.5755558,0,21.5755558,0,237.3311138 +12309,MN,875,19,106,50,1003,2,2,10003,E014,13,14,5300,1,6,1A,81 IRVING PLACE,R8B, , , , , , , , , ,N,D4,3,0, ,IRVING TENANTS CORP,5283,72501,0,72501,0,0,0,0,0,0,2,1,16,102,103,50,105.67,48,92, ,3,N,3,2,765000,7401600,30680,30680,1930,0,0, , ,13.72,4,0,4,1,1008750019,0,50,987928,207894,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,320.0910845,5700.63647,6636600,5,0,12308,12310,25,5625,30.81999969,32.42555618,1.605556488,30.88422195,0.314623532,772.1055489 +12310,MN,719,5,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,465 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,29 CHELSEA SQUARE NOR,1975,2440,0,2440,0,0,0,0,0,0,2,1,3,2,2,20,98.75,20,46,E,3,N,5,2,49084,150974,1550,1550,1920,0,0,Chelsea Historic District, ,1.24,3,0,3,1,1007190005,0,89,982995,211214,8b, ,103 042,10302, ,0, ,1,1,1,17V1.1,0,242.6959936,1921.162406,101890,7,1,12309,12311,8,1800,9.307999611,10.01000023,0.702000618,9.395749688,0.232164882,75.16599751 +12311,MN,611,3,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2K,237 WEST 4 STREET,R6,C2-6, , , , , , , , ,Y,S2,4,0, ,"237 WEST 4TH STREET,",3227,4200,1800,2400,0,1800,0,0,0,0,2,2,4,2,3,20,40,20,60, ,3,N,5,2,100083,245116,0,0,1920,2005,0,Greenwich Village Historic District, ,1.3,2.43,0,4.8,1,1006110003,0,73,983469,206871,12a, ,103 015,10209, ,1006110002,12/1/1995,1, , ,17V1.1,0,203.4015031,1619.131159,145033,8,0,12310,12312,6,1350,23.83777809,26.26333237,2.425554276,24.6290741,1.119459038,147.7744446 +12312,MN,551,126,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,9 MAC DOUGAL ALLEY,R6, , , , , , , , , ,N,A4,1,0, ,KOLO FREDAKA,879,1875,0,1875,0,0,0,0,0,0,2,1,2,1,1,25,35.17,25,25, ,3,N,5,0,52256,158237,0,0,1899,0,0,Greenwich Village Historic District, ,2.13,2.43,0,4.8,1,1005510126,0,63,984868,206147,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,124.7830272,924.1157483,105981,8,0,12311,12313,4,900,22.1970005,23.44633293,1.249332428,22.91794443,0.52307433,91.67177773 +12313,MN,921,45,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,336 EAST 15 STREET,R8A, , , , , , , , , ,N,S3,4,0, ,336 FIRST SECOND LLC,2168,6992,1450,5542,0,1450,0,0,0,0,2,1,4,3,4,21,103.25,21,93, ,0,N,5,5,211604,535065,0,0,1910,0,0, , ,3.23,6,0,6,1,1009210045,0,48,988918,206052,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,254.8110427,2277.357356,323461,5,0,12312,12314,10,2250,21.21777725,22.81555557,1.59777832,21.37755508,0.479333496,213.7755508 +12314,MN,22,20,101,9,1002,2,1,10004,L015,1,15,7700,1,1, ,42 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,"32-42 BROADWAY OWNER,",21490,389927,389927,0,383317,6610,0,0,0,0,2,1,21,0,55,116.19,197.33,116,197, ,3,Y,4,2,8370000,28448100,0,0,1904,1970,0, , ,18.14,10,15,15,1,1000220020,0,9,980758,196487,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,626.7695781,22760.5751,20078100,17,0,12313,12315,101,22725,16.26733398,30.59777832,14.33044434,17.50063424,2.584680196,1767.564058 +12315,MN,573,52,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,15 WEST 9 STREET,R6, , , , , , , , , ,N,C3,2,0, ,"MWB REALTY, LLC",1600,3800,0,3800,0,0,0,0,0,0,2,1,4,4,4,17.33,92.25,17,56, ,3,N,5,5,360000,408428,0,0,1900,1958,2015,Greenwich Village Historic District, ,2.38,2.43,0,4.8,1,1005730052,0,63,985134,206495,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,221.50945,1575.428121,48428,8,0,12314,12316,9,2025,18.98099899,24.43000031,5.449001312,19.58644358,1.712455902,176.2779922 +12316,MN,179,7503,101,33,3019,2,1,10013,E007,1,15,7700,3,1, ,155 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,6583,40682,8654,32028,0,8654,0,0,0,0,2,1,6.5,10,11,0.15,0,0,0, ,0,N,0,5,580502,4370401,2360,2360,1982,0,0,Tribeca West Historic District, ,6.18,6.02,6,6.5,1,1001797503,1013,33,981996,201233,12a, ,100 000,10105, ,1001790059,12/29/1998,1, , ,17V1.1,7,381.7901321,6842.825599,3789900,14,1,12315,12317,31,6975,10.17444515,16.58777809,6.413332939,10.7289254,1.701067723,332.5966873 +12317,MN,588,71,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,33 GROVE STREET,R6, , , , , , , , , ,N,D1,3,0, ,35 GROVE LLC,8250,31460,0,31460,0,0,0,0,0,0,2,1,5,65,65,83.42,100,83,82, ,3,N,5,1,2070000,7137450,0,0,1920,1987,0,Greenwich Village Historic District, ,3.81,2.43,0,4.8,1,1005880071,0,73,982942,206291,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,364.0637105,8201.459653,5067450,9,0,12316,12318,37,8325,20.90555573,20.90555573,0,20.90555573,0,773.5055618 +12318,MN,913,1,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,471 3 AVENUE,C1-9,R8B, , , , , , , , ,Y,D6,4,0, ,PLAZA REALTY INVESTOR,24237,351560,10952,340608,0,10952,0,0,0,0,2,1,33,300,311,197.5,86,198,135, ,1,N,3,1,5445000,38162700,0,0,1972,0,0, , ,14.51,10,2,10,1,1009130001,0,70,990213,210561,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,683.2882066,25771.819,32717700,10,0,12317,12319,115,25875,19.78333282,25.98511124,6.201778412,20.94985665,1.970781035,2409.233515 +12319,MN,244,40,103,2.02,2002,1,1,10002,E015,7,14,8000,1,3,1B,621 WATER STREET,R7-2, , , , , , , , , ,N,I9,8,0,P,GOUVERNEUR COURT HOUS,16665,60417,60417,0,0,0,0,0,0,60417,2,1,5,124,129,140.75,120.33,140,120,E,0,N,5,5,1440000,5349600,1440000,5349600,1898,1994,0, , ,3.63,3.44,0,6.5,1,1002440040,0,202,988801,198332,12d, ,101N057,10106, ,0, ,1,1,1,17V1.1,0,534.4985137,17719.45877,3909600,16,1,12318,12320,78,17550,8.27333355,14.92666721,6.653333664,8.616963166,0.950834799,672.123127 +12320,MN,829,32,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,13 WEST 27 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,MADISON SQUARE PORTFO,4937,50234,50234,0,45668,4566,0,0,0,0,2,1,11,0,11,50,98.75,50,96,E,3,N,5,2,1530000,3030300,0,0,1908,1988,2014,Madison Square North Historic District, ,10.18,0,10,10,1,1008290032,0,58,987507,210525,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,304.3812946,5099.513613,1500300,11,0,12319,12321,22,4950,40.15333176,40.15333176,0,40.15333176,0,883.3732986 +12321,MN,309,24,103,16,4001,2,1,10002,E015,7,14,7400,1,3,2B,47 LUDLOW STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,TIN FOO REALTY CORP,2166,8804,1500,7304,0,1500,0,0,0,0,2,1,6,16,17,24.75,87.5,25,73, ,2,N,5,2,146250,436050,0,0,1900,1994,0, , ,4.06,6.02,6,6.5,1,1003090024,0,16,986891,200306,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,231.2754336,2257.599933,289800,13,0,12320,12322,10,2250,34.44444275,34.44444275,0,34.44444275,0,344.4444275 +12322,MN,612,28,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,156 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,S1,4,0, ,"JARIWALA VILLAGE, LLC",830,3150,1050,2100,0,1050,0,0,0,0,2,1,3,1,2,61.5,32,25,42.5, ,2,Y,5,2,64003,127732,0,0,1981,0,0,Greenwich Village Historic District, ,3.8,3.44,2,6.5,1,1006120028,0,73,983681,207178,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,145.8080947,962.8392436,63729,8,0,12321,12323,5,1125,24.50222206,24.50222206,0,24.50222206,0,122.5111103 +12323,MN,706,36,104,99,1040,2,3,10001,E034,10,15,5500,1,4,2B,449 10 AVENUE,C6-4, , , , , ,HY, , , ,N,S5,4,0, ,"509 W 34, L.L.C.",2468,6930,930,6000,0,930,0,0,0,0,2,1,4,6,7,24.75,100,25,98,E,2,N,3,2,59660,351587,0,0,1910,0,0, , ,2.81,10,10,10,1,1007060036,0,99,984514,214447,8d, ,105S027,10302,E-137,0, ,1, , ,17V1.1,0,252.1491967,2525.375655,291927,6,0,12322,12324,6,1350,43.82822037,44.35699844,0.528778076,44.26886876,0.197063954,265.6132126 +12324,MN,482,16,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1A,72 SPRING STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,SPRING STREET CO. LLC,9600,109377,109377,0,101587,7290,0,500,0,0,2,1,12,0,15,100,100.08,100,90, ,3,Y,3,2,3748500,18515250,0,0,1907,2016,2011,SoHo-Cast Iron Historic District Extensi, ,11.39,0,5,6.5,1,1004820016,0,45,984835,202467,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,407.6849859,10376.30548,14766800,0,0,12323,12325,46,10350,30.94300079,34.64444351,3.701442719,31.36279529,0.919101588,1442.688583 +12325,MN,616,29,102,77,2001,2,3,10014,Q018,6,15,6100,1,2,3B,5 JANE STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,5-7 1/2 JANE STREET,2590,11005,0,11005,0,0,0,0,0,0,2,4,5,32,32,62,75.25,20,22, ,0,Y,5,5,337500,1884150,0,0,1926,0,0,Greenwich Village Historic District, ,4.25,3.44,2,6.5,1,1006160029,0,77,983533,208252,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,269.9003316,3516.191271,1546650,8,0,12324,12326,18,4050,21.81777763,24.84333229,3.025554657,22.02484555,0.702160574,396.4472198 +12326,MN,385,58,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,222 EAST 2 STREET,R8B, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,5095,7789,7789,0,0,0,0,0,0,7789,2,1,2,0,1,48.08,105.92,48,81, ,2,N,5,0,236250,751950,236250,751950,1958,0,0, , ,1.53,4,0,4,1,1003850058,0,2202,989097,202278,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,314.1275409,5263.557158,515700,1,0,12325,12327,25,5625,16.86222267,18.83666611,1.974443436,17.51142258,0.870032669,437.7855644 +12327,MN,576,54,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,23 WEST 12 STREET,R6, , , , , , , , , ,N,C3,2,0, ,TRACY J LEEDS,2581,7000,0,7000,0,0,0,0,0,0,2,2,4,4,4,25,103.25,25,58, ,3,N,5,5,69904,1203654,0,0,1900,0,0,Greenwich Village Historic District, ,2.71,2.43,0,4.8,1,1005760054,0,63,985492,207172,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,258.786153,2630.370806,1133750,8,0,12326,12328,13,2925,23.70299912,28.09777641,4.394777298,25.42360614,1.911645608,330.5068798 +12328,MN,745,58,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,338 WEST 22 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"V&M CHELSEA PROPERTY,",2469,5896,0,4596,0,0,0,0,0,0,2,1,3,2,2,25,98.75,25,52, ,3,N,5,1,315595,596170,0,0,1900,2013,0,Chelsea Historic District Extension, ,2.39,3,0,3,1,1007450058,0,89,984050,210744,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,253.3338316,2718.062978,280575,7,0,12327,12329,13,2925,15.97222233,19.39999962,3.42777729,17.02858969,1.232901082,221.371666 +12329,MN,745,6,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,357 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,"SHAH, ALKESH",1728,2720,0,2040,0,0,0,0,0,0,2,1,3,2,2,17.5,98.75,17.5,40, ,2,N,5,1,45005,127598,0,0,1910,0,0,Chelsea Historic District, ,1.57,3,0,3,1,1007450006,0,89,983781,210780,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,251.4684517,1987.751101,82593,7,0,12328,12330,9,2025,15.97222233,17.39333344,1.421111107,16.42246903,0.638091608,147.8022213 +12330,MN,808,7501,105,101,1008,2,3,10001,L024,14,15,5200,1,5, ,401 7 AVENUE,C6-6, , , , , ,MID, , , ,N,RC,5,0,P,GRAPSTEIN,79000,1213324,318309,0,318309,0,0,0,0,0,2,1,23,0,2,197.5,400,198,385, ,3,N,3,2,28420200,115977150,0,0,1917,0,0, , ,15.36,10,15,15,1,1008087501,116,101,986866,212410,8d, ,105S024,10305,R-194,0, ,1, , ,17V1.1,7,1232.820232,84279.29953,87557000,6,0,12329,12331,372,83700,38.04555511,41.47222137,3.42666626,38.22342018,0.433231959,14219.11231 +12331,MN,410,38,103,18,3001,1,1,10002,L018,7,14,7400,1,3,2A,112 LUDLOW STREET,C4-4A, , , , , , , , , ,N,Z2,10,0,C,NYC DEPT OF HIGHWAYS,22402,132750,132750,0,0,0,132750,0,0,0,2,1,5,0,0,126.33,177.33,126.33,177.33, ,0,N,4,5,2322000,5738850,2322000,5738850,1971,0,0, , ,5.93,4,4,4,1,1004100038,0,18,987497,201357,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,617.0372739,22990.86931,3416850,13,0,12330,12332,102,22950,31.33099937,35.63666916,4.305669785,31.44051683,0.576506486,3206.932716 +12332,MN,754,29,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,317 WEST 30 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,PR30,1975,4040,0,4040,0,0,0,0,0,0,2,1,4,26,26,20,98.75,20,53, ,3,N,5,2,118350,637650,0,0,1920,1943,0, , ,2.05,4,0,4,1,1007540029,0,103,985332,212607,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,253.7551582,2056.477088,519300,6,0,12331,12333,10,2250,33.70700073,34.73444366,1.027442932,33.86094475,0.311870993,338.6094475 +12333,MN,590,42,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,23 CORNELIA STREET,R6, , , , , , , , , ,N,A5,1,0, ,"ALDEA, DAVID",2056,3357,0,3357,0,0,0,0,0,0,2,1,4,1,1,21.08,97.5,21.08,95,E,3,N,5,2,71341,219013,0,0,1899,2009,2009,Greenwich Village Historic District Exte, ,1.63,2.43,0,4.8,1,1005900042,0,67,983626,205812,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,240.2110854,2089.003035,147672,9,0,12332,12334,10,2250,17.54000092,17.54000092,0,17.54000092,0,175.4000092 +12334,MN,884,17,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,120 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0, ,120 LEXINGTON AVE COR,1590,4222,1427,2795,0,1427,0,0,0,0,2,2,5,6,8,20.25,78.5,19,50, ,0,N,3,5,222256,672217,0,0,1910,0,0, , ,2.66,6.02,6,6.5,1,1008840017,0,72,989062,209913,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,208.1074975,1792.750514,449961,11,0,12333,12335,8,1800,32.92222214,34.08499908,1.162776947,33.35826349,0.562926969,266.8661079 +12335,MN,466,54,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,105 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"WALDEN POND REALTY,LL",4492,16550,0,16550,0,0,0,0,0,0,2,2,5,41,41,47.5,94.58,24,79, ,3,N,5,2,337500,1690650,0,0,1920,1988,2004, , ,3.68,4,0,4,1,1004660054,0,40,987481,205474,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,286.9904257,4564.584715,1353150,12,0,12334,12336,19,4275,32.08111191,36.19888687,4.117774963,32.36160298,0.943930966,614.8704567 +12336,MN,620,38,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,239 WEST 10 STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,"BERNARDO, ELIZABETH",2557,7590,0,7590,0,0,0,0,0,0,2,1,4,15,15,40.17,74.17,40,66,E,2,Y,5,2,135000,603000,0,0,1910,1952,1981,Greenwich Village Historic District, ,2.97,3.44,2,6.5,1,1006200038,0,73,982668,206690,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,242.7073569,2941.77437,468000,9,0,12335,12337,13,2925,22.63400078,24.39111137,1.757110596,22.94340236,0.52990565,298.2642307 +12337,MN,215,7502,101,39,1020,2,1,10013,L008,1,15,7700,3,1, ,161 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,7634,58015,4307,53708,0,4307,0,0,0,0,2,1,9,24,26,76.06,100.08,0,0, ,0,Y,0,5,899998,7643254,7080,7080,1930,2003,0,Tribeca North Historic District, ,7.6,6.02,6,6.5,1,1002157502,1393,39,981865,202256,12a, ,11N 040,10105, ,1002150019,10/4/2005,1, , ,17V1.1,7,386.9151212,8531.866737,6743260,0,0,12336,12338,36,8100,14.21644497,15.29888916,1.082444191,14.88914167,0.205077308,536.0091 +12338,MN,573,68,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,47 WEST 9 STREET,R6, , , , , , , , , ,N,A4,1,0, ,47 WEST 9TH STREET LL,2611,6029,0,6029,0,0,0,0,0,0,2,1,4,1,1,28.33,92.25,28,86,E,3,N,5,2,129091,511174,0,0,1910,1987,2009,Greenwich Village Historic District, ,2.31,2.43,0,4.8,1,1005730068,0,63,984871,206641,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,242.1403436,2545.04226,382083,8,0,12337,12339,11,2475,18.98099899,18.98099899,0,18.98099899,0,208.7909889 +12339,MN,590,79,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,13 JONES STREET,R6, , , , , , , , , ,N,D4,3,0, ,JONES ST APTS INC,4910,36760,0,36760,0,0,0,0,0,0,2,1,6,48,48,49.83,100,50,90, ,3,N,5,2,468000,3698550,21240,21240,1930,1986,0,Greenwich Village Historic District Exte, ,7.49,2.43,0,4.8,1,1005900079,0,67,983579,206064,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,302.7590428,5035.364161,3230550,9,0,12338,12340,21,4725,19.74111176,19.74111176,0,19.74111176,0,414.5633469 +12340,MN,482,28,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,216 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,"MARTHA SCHWARTZ, LLC",2500,4000,4000,0,1500,2500,0,0,0,0,2,1,2,0,2,25,100,25,98, ,3,N,5,2,345150,999450,0,0,1900,2012,0, , ,1.6,0,5,6.5,1,1004820028,0,45,984849,202296,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,259.9270209,2563.270122,654300,0,0,12339,12341,11,2475,30.94300079,30.94300079,0,30.94300079,0,340.3730087 +12341,MN,772,83,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,250 8 AVENUE,C2-7A, , , , , , , , , ,N,K4,4,0,P,250 EIGHTH AVENUE ASS,2347,7259,3973,3286,1643,2330,0,0,0,0,2,1,4,4,8,39.5,59.42,39.5,59,E,3,N,5,2,277200,1498050,0,0,1920,1986,0, , ,3.09,7.52,2,7.5,1,1007720083,0,91,984694,210692,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,204.9736818,2533.008998,1220850,2,0,12340,12342,11,2475,22.16600037,22.16600037,0,22.16600037,0,243.826004 +12342,MN,842,7501,105,52,2006,2,2,10003,L003,13,15,5700,1,5, ,69 5 AVENUE,C6-4M,C6-2A, , , , , , , , ,Y,RM,4,0, ,OWNER / AGENT,16981,175750,17185,158565,0,17185,0,0,0,0,2,2,19,153,155,129.04,92,129,92, ,3,Y,3,2,3769650,28373400,102425,102425,1961,0,0, , ,10.35,10,10,10,1,1008427501,690,52,986159,207477,12c, ,102 034,10306, ,1008420001,12/29/1990,1, , ,17V1.1,7,527.8253935,13775.0127,24603800,7,0,12341,12343,60,13500,36.55699921,37.38444519,0.827445984,36.58094368,0.111717822,2194.856621 +12343,MN,849,29,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,41 EAST 20 STREET,M1-5M, , , , , , , , , ,N,K4,4,0, ,GOLDBERG JANE,2300,6622,4436,2186,0,4436,0,0,0,0,2,1,3,1,3,25,92,25,90,E,3,N,5,2,389250,1224000,0,0,1910,1998,1981,Ladies' Mile Historic District, ,2.88,0,5,6.5,1,1008490029,0,52,987434,208469,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,244.1252449,2447.380347,834750,5,0,12342,12344,10,2250,34.69888687,34.69888687,0,34.69888687,0,346.9888687 +12344,MN,163,23,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,63 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,LAI NING CORP,2579,14200,1200,13000,0,1200,0,0,0,0,2,1,7,26,30,26.5,97,27,86, ,3,Y,5,2,175500,895950,0,0,1915,0,0, , ,5.51,3.44,6,6.5,1,1001630023,0,29,984773,199872,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,246.6492802,2502.378068,720450,14,0,12343,12345,12,2700,33.5909996,35.03033447,1.439334869,33.77901808,0.439201708,405.348217 +12345,MN,488,15,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,180 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,BERRY K LLC,1257,3655,914,2741,0,914,0,0,0,0,2,1,4,3,4,19.83,62.42,20,62,E,3,Y,3,5,268797,366446,0,0,1910,1987,0,Sullivan-Thompson Historic District, ,2.91,3.44,0,6.5,1,1004880015,0,47,983520,203301,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,174.4983837,1419.297345,97649,0,1,12344,12346,6,1350,9.686666489,13.26444435,3.577777863,10.92824062,1.59627151,65.5694437 +12346,MN,224,27,101,39,1008,2,1,10013,L008,1,15,7700,1,1,3B,464 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,A4,1,0,P,GREENWICH 464 LLC,1511,7401,0,7401,0,0,0,0,0,0,2,1,5,1,1,23.75,60.58,24,61, ,0,Y,5,2,90087,183900,0,0,1920,2011,2011,Tribeca North Historic District, ,4.9,6.02,6,6.5,1,1002240027,0,39,981566,203020,12a, ,101N040,10105, ,0, ,1, ,1,17V1.1,0,172.5966911,1526.297242,93813,0,1,12345,12347,6,1350,8.210000038,8.210000038,0,8.210000038,0,49.26000023 +12347,MN,590,50,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,283 BLEECKER STREET,C2-6,R7-2, , , , , , , , ,Y,C7,4,0,P,TOCKWOTTEN ASSOCIATES,1875,8125,975,7150,0,975,0,0,0,0,2,1,5,16,18,25,75,25,64, ,3,N,5,2,185850,1147950,0,0,1875,1986,0,Greenwich Village Historic District Exte, ,4.33,3.44,2,6.5,1,1005900050,0,67,983367,205951,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,204.526485,1931.486938,962100,9,0,12346,12348,6,1350,19.74111176,19.74111176,0,19.74111176,0,118.4466705 +12348,MN,619,22,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,226 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0, ,NOEL BLAIR AS TRUSTEE,2043,4250,0,3250,0,0,0,0,0,0,2,1,3,1,1,21.5,95,22,55,E,3,N,5,1,66869,352579,0,0,1905,1970,2009,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1006190022,0,73,982851,206597,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,234.2305585,2063.069912,285710,9,0,12347,12349,10,2250,20.56999969,21.61499977,1.045000076,21.51049976,0.313500023,215.1049976 +12349,MN,394,32,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,646 EAST 12 STREET,R8B, , , , , , , , , ,N,O1,5,0, ,DEVENISH REALTY COMPA,5163,5165,5165,0,5165,0,0,0,0,0,2,1,1,0,1,50,103.25,50,100, ,2,N,5,0,108000,1017450,0,0,1951,2000,0, , ,1,4,0,4,1,1003940032,0,28,990510,204210,12c, ,102 030,10203,E-216,0, ,1,1,1,17V1.1,0,307.8477733,5207.464632,909450,12,1,12348,12350,22,4950,6.934999943,8.459444046,1.524444103,7.047020132,0.365031906,155.0344429 +12350,MN,641,63,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,345 WEST 12 STREET,R6, , , , , , , , , ,N,C4,2,0, ,345 WEST 12TH STREET,3520,5682,0,5682,0,0,0,0,0,0,2,2,3,12,12,44,80,16,29, ,0,N,5,5,450000,1065600,0,0,1900,1982,0,Greenwich Village Historic District, ,1.61,2.43,0,4.8,1,1006410063,0,79,982265,208054,12a,Y,103 014,10210, ,0, ,1, , ,17V1.1,0,254.5232866,3604.634754,615600,8,0,12349,12351,18,4050,12.27999973,16.39666748,4.116667748,13.47545666,1.313637877,242.5582199 +12351,MN,407,26,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,536 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0,P,BETTY LILY CORP,2581,7066,800,6266,0,800,0,0,0,0,2,1,5,14,16,25,103.25,25,54, ,3,N,5,2,70650,468900,0,0,1920,1981,2009, , ,2.74,4,2,4,1,1004070026,0,34,990124,205033,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,264.9727168,2687.166406,398250,12,1,12350,12352,12,2700,11.62699986,13.85111141,2.224111557,12.44553693,0.896243976,149.3464432 +12352,MN,588,69,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,41 GROVE STREET,C1-6, , , , , , , , , ,N,C4,2,0,P,"41 GROVE STREET, LLC",2150,6875,0,6875,0,0,0,0,0,0,2,1,5,9,9,25.5,86,26,53, ,3,N,5,2,141458,425076,0,0,1900,1988,2012,Greenwich Village Historic District, ,3.2,3.44,2,6.5,1,1005880069,0,73,983017,206316,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,225.0360777,2140.972284,283618,9,0,12351,12353,10,2250,20.90555573,21.88022232,0.974666595,21.09813347,0.321867105,210.9813347 +12353,MN,885,24,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,147 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C0,2,0, ,741 DYSLEXINGTON LLC,1732,6000,1400,4600,0,0,0,0,0,0,2,1,5,3,3,20.33,85,20,70,E,3,N,5,2,77127,260818,0,0,1910,2009,2009, , ,3.46,6.02,6,6.5,1,1008850024,0,72,989361,210133,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,216.3855245,1779.110415,183691,10,0,12352,12354,7,1575,30.56200027,30.56200027,0,30.56200027,0,213.9340019 +12354,MN,738,13,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,343 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C5,2,0,P,"BERGEL 14TH STREET, L",2581,8867,2450,6417,0,2450,0,0,0,0,2,1,5,13,14,25,103.25,25,66,E,3,N,5,2,117900,913050,0,0,1920,1973,0, , ,3.44,6.02,6,6.5,1,1007380013,0,83,983062,209171,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,269.4978455,2690.089444,795150,7,0,12353,12355,13,2925,16.15333366,16.15333366,0,16.15333366,0,209.9933376 +12355,MN,592,7,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,124 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,C0,2,0, ,RATNER MICHAEL D,1145,3520,0,2640,0,0,0,0,0,0,2,1,3,3,3,20,57.25,20,44,E,3,N,5,1,49108,153446,0,0,1900,0,0,Greenwich Village Historic District, ,3.07,2.43,0,4.8,1,1005920007,0,71,983814,206199,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,161.7643287,1200.380468,104338,9,0,12354,12356,4,900,17.50333405,17.50333405,0,17.50333405,0,70.01333618 +12356,MN,883,88,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,401 PARK AVENUE SOUTH,C6-4A,C4-5A, , , , , , , , ,Y,O6,5,0,P,401 NEW YORK LLC,18268,248566,248566,0,232000,16566,0,0,0,0,2,1,12,0,19,98.75,185,99,185, ,3,N,3,2,8220600,33675300,0,0,1910,1988,2010, , ,13.61,10,10,10,1,1008830088,0,68,988747,209955,8d, ,104 006,10307, ,0, ,1, , 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PATRICK'S CATHEDRAL,0.61,6.02,6,6.5,1,1005090001,0,43,985605,202925,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,1113.76038,60506.29823,3045150,9,0,12368,12370,272,61200,41.04333496,46.2788887,5.235553741,43.88933835,1.147062476,11937.90003 +12370,MN,803,45,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,106 WEST 28 STREET,C6-4X, , , , , , , , , ,N,L8,6,0, ,PT REAL ESTATE HOLDIN,1975,4880,4880,0,0,1980,0,2900,0,0,2,1,4,0,3,20,98.75,20,99,E,3,N,5,2,310500,553500,0,0,1910,1989,0, , ,2.47,10,10,10,1,1008030045,0,95,986700,211088,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,238.9284473,2007.927802,243000,2,0,12369,12371,9,2025,37.16799927,38.85733414,1.689334869,37.53762902,0.691622568,337.8386612 +12371,MN,640,50,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,340 WEST 12 STREET,R6, , , , , , , , , ,N,B3,1,0,P,340 WEST 12 REALTY LL,1957,5250,0,4200,0,0,0,0,0,0,2,2,4,2,2,24.33,80.42,24.33,43.16, ,3,N,5,1,28692,131885,0,0,1899,2015,0,Greenwich Village Historic District, 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,0, ,1, , ,17V1.1,0,202.6754691,1667.510795,431218,17,1,12374,12376,7,1575,10.66100025,11.12522221,0.464221954,10.72731767,0.162443845,75.09122372 +12376,MN,573,66,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,43 WEST 9 STREET,R6, , , , , , , , , ,N,C5,2,0, ,"GREENBAUM, DENISE",2414,5326,0,5326,0,0,0,0,0,0,2,1,4,11,11,26.17,92.25,26,62, ,3,N,5,2,76050,867600,0,0,1900,0,0,Greenwich Village Historic District, ,2.21,2.43,0,4.8,1,1005730066,0,63,984909,206620,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,239.8704108,2438.36935,791550,8,0,12375,12377,12,2700,18.98099899,18.98099899,0,18.98099899,0,227.7719879 +12377,MN,413,26,103,18,6000,2,1,10002,L006,5,14,7400,1,3,1A,294 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0,P,"294 GRAND REALTY, LL",4411,7317,7317,0,0,4411,0,2906,0,0,2,1,2,0,3,50.5,87.5,50,82, ,3,Y,5,2,225000,800100,0,0,1900,1987,0, , ,1.66,4,4,4,1,1004130026,0,18,986527,200774,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,276.9599225,4444.439322,575100,13,0,12376,12378,20,4500,39.72000122,39.72000122,0,39.72000122,0,794.4000244 +12378,MN,911,58,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,210 EAST 31 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,208-210 E 31 REALTY,1975,5620,0,5620,0,0,0,0,0,0,2,1,4,9,9,20,98.75,20,60, ,3,N,5,2,91801,406136,0,0,1900,0,0, , ,2.85,3,0,3,1,1009110058,0,70,990064,210107,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,244.2504679,2005.71362,314335,10,0,12377,12379,9,2025,29.22888947,31.7966671,2.567777634,29.6993955,0.905492074,267.2945595 +12379,MN,492,5,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,198 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,198-202 ELIZABETH STR,3636,14574,970,13604,0,970,0,0,0,0,2,1,6,27,29,37.42,97.17,38,75, ,3,N,5,2,196200,2116350,0,0,1900,2016,0, , ,4.01,6.02,6,6.5,1,1004920005,0,43,985852,202267,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,276.3092964,3774.67323,1920150,0,0,12378,12380,17,3825,39.76666641,43.10777664,3.341110229,39.96320231,0.786143583,679.3744392 +12380,MN,531,44,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,54 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,S3,4,0, ,54 GREAT JONES HOLDIN,863,3176,929,2247,0,929,0,0,0,0,2,1,4,3,4,34.5,25,35,25, ,3,N,5,5,141029,294266,0,0,1920,1966,0,NoHo Historic District Extension, ,3.68,0,5,6.5,1,1005310044,0,5502,986417,204040,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,129.4008541,1021.018366,153237,9,0,12379,12381,4,900,41.26444626,41.26444626,0,41.26444626,0,165.057785 +12381,MN,468,24,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,228 EAST 13 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,228 EAST 13TH STREET,2951,13110,0,13110,0,0,0,0,0,0,2,1,6,28,28,28.58,103.25,29,88, ,3,N,5,2,199350,1434600,32955,32955,1900,1988,0, , ,4.44,4,0,4,1,1004680024,0,40,987945,205936,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,270.4278267,3054.997435,1235250,12,0,12380,12382,12,2700,28.72333336,29.11533356,0.392000198,28.75600004,0.108343131,345.0720005 +12382,MN,16,140,101,317.03,1001,2,1,10281,E010,1,15,8900,1,1, ,200 VESEY STREET,BPC, , , , , ,BPC, , , ,N,O4,5,0,O,AMERICAN EXPRESS CO,82617,2233692,2233692,0,2091937,29283,0,12472,0,100000,2,1,54,0,12,250.24,302.28,125,125, ,1,Y,3,2,38520000,201072150,38520000,201072150,1986,0,0, , ,27.04,0,0,0,1,1000160140,0,31703,980128,199237,12b, ,101S092,10101, ,0, ,1,1, ,17V1.1,0,1349.988206,94055.08909,162552000,3,1,12381,12383,418,94050,9.829999924,14.2322216,4.40222168,13.03734902,0.436138287,5449.611889 +12383,MN,394,38,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,193 AVENUE C,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,"REMNEK, RANDALL",1307,5242,1000,4242,0,1000,0,0,0,0,2,1,5,4,5,19.5,67,20,53, ,3,N,5,5,7417,50629,0,0,1910,0,0, , ,4.01,4,0,4,1,1003940038,0,28,990630,204168,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,180.4405906,1404.409756,43212,12,1,12382,12384,7,1575,6.934999943,9.23777771,2.302777767,7.263968195,0.80580436,50.84777737 +12384,MN,694,7501,104,99,1035,2,3,10011,E003,10,15,5500,1,4, ,525 WEST 22 STREET,M1-5, , , , , ,WCH, , , ,N,RM,4,0, , ,19503,88671,16410,72261,16410,0,0,0,0,0,2,1,6,30,34,197.5,98.75,0,0, ,0,N,0,5,2821500,13048201,4720,4720,1930,0,0, , ,4.55,0,5,6.5,1,1006947501,964,99,982735,211652,8b, ,105S003,10301, ,1006940020,4/16/1997,1,1,1,17V1.1,7,604.6514518,20645.25127,10226700,2,1,12383,12385,92,20700,6.936999798,12.05000019,5.113000393,7.509206373,1.404333568,690.8469863 +12385,MN,800,5,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,253 7 AVENUE,C6-3X, , , , , , , , , ,N,M1,8,0,X,UNITED CHURCH OF CHRI,3391,8016,8016,0,0,0,0,0,0,8016,2,2,3,0,4,42.83,79.17,43,56, ,3,Y,5,1,765000,1493100,765000,1493100,1946,1986,0, , ,2.36,9,6,9,1,1008000005,0,91,985734,210693,8d, ,105S011,10305,E-54,0, ,1, , ,17V1.1,0,250.344673,3490.499207,728100,2,0,12384,12386,17,3825,33.27444458,35.79999924,2.525554657,34.15753667,0.729762004,580.6781235 +12386,MN,16,40,101,317.04,4005,2,1,10280,E010,1,15,8900,1,1,1A,55 BATTERY PLACE,BPC, , , , , ,BPC, , , ,N,W1,8,0,O,OWNER / AGENT,24337,134082,134082,0,0,0,0,0,0,134082,2,1,8,0,1,199,131,0,0, ,1,Y,5,0,6073200,23746050,6073200,23746050,2008,0,0, , ,5.51,0,0,0,1,1000160040,0,31704,979411,196627,12b, ,101S088,10101, ,1000160040,1/27/2005,1,1,1,17V1.1,0,650.5149732,24937.6621,17672900,15,1,12385,12387,110,24750,9,13.78444481,4.784444809,11.38244461,1.385376662,1252.068907 +12387,MN,493,15,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,26 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"PRINCE 26, LLC",2607,7940,1270,6670,0,1270,0,0,0,0,2,1,5,14,16,24,115.08,24,68, ,3,Y,5,2,302400,2258100,0,0,1910,1986,2004, , ,3.05,6.02,6,6.5,1,1004930015,0,43,985711,202582,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,277.7690637,2755.834482,1955700,0,0,12386,12388,13,2925,42.74333191,44.95999908,2.216667175,43.29734098,0.764206036,562.8654327 +12388,MN,175,7503,101,33,1003,2,1,10013,L001,1,15,7700,3,1, ,55 WHITE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,55 WHITE STREET CONDO,5800,35019,8397,26622,0,4140,0,0,0,4257,2,1,7,16,17,58,100,0,0, ,0,N,5,5,425699,3937552,7080,7080,1860,0,0,Tribeca East Historic District,55 WHITE STREET,6.04,6.02,6,6.5,1,1001757503,711,33,983157,200936,12a, ,101S033,10105, ,1001750025,12/12/1990,1, , ,17V1.1,7,329.8857637,6253.437794,3511850,14,0,12387,12389,26,5850,17.40222168,22.58777809,5.185556412,17.77894402,1.262927643,462.2525444 +12389,MN,150,7504,101,33,1009,2,1,10007,L001,1,15,7700,3,1, ,108 DUANE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,4939,31320,8696,22624,2572,3228,0,2896,0,0,2,1,7,11,13,49.42,100,49,87, ,3,N,0,5,415349,3765100,0,0,1915,0,0, , ,6.34,6.02,6,6.5,1,1001507504,2326,33,982452,199940,12b,Y,101S018,10104, ,1001500022,7/6/2012,1, , ,17V1.1,7,316.0172411,5305.31817,3349750,14,0,12388,12390,24,5400,23.54111099,26.8722229,3.331111908,23.81453697,0.906966232,571.5488873 +12390,MN,694,31,104,99,1035,2,3,10011,E003,10,15,5500,1,4,2B,203 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,C7,4,0, ,TSOUMPAS 203 HOLDINGS,1835,8520,900,7620,0,900,0,0,0,0,2,1,5,8,9,24.67,74,25,66, ,3,N,3,1,31887,237183,0,0,1905,1982,0, , ,4.64,6.02,6,6.5,1,1006940031,0,99,982905,211514,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,202.5094332,1992.780931,205296,2,1,12389,12391,9,2025,9.699999809,9.699999809,0,9.699999809,0,87.29999828 +12391,MN,454,27,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,338 EAST 13 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,MANHATTAN 338 CORP,2821,11035,0,11035,0,0,0,0,0,0,2,1,5,20,20,28,103.25,28,81, ,3,N,5,2,216900,900900,0,0,1900,1985,0, , ,3.91,4,0,4,1,1004540027,0,40,988648,205547,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,269.4034772,2987.638872,684000,12,0,12390,12392,12,2700,22.37666702,22.37666702,0,22.37666702,0,268.5200043 +12392,MN,574,37,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,14 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,14 WEST 11 TEN CORP,2053,4206,0,4206,0,0,0,0,0,0,2,1,3,4,4,21.67,94.75,22,60, ,3,N,5,1,180676,496302,2360,2360,1900,1980,0,Greenwich Village Historic District, ,2.05,2.43,0,4.8,1,1005740037,0,63,985399,206742,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,239.7498979,2226.988277,315626,8,0,12391,12393,10,2250,24.13299942,29.34000015,5.207000732,25.41579952,2.085530571,254.1579952 +12393,MN,276,47,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,84 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,84 MADISON LLC,2525,10215,2000,8215,0,2000,0,0,0,0,2,1,5,20,21,25,101,25,88, ,3,Y,5,2,85500,380250,0,0,1900,0,0, , ,4.05,3.44,0,6.5,1,1002760047,0,8,985295,198652,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.4424053,2605.524556,294750,16,0,12392,12394,12,2700,16.47999954,22.38444519,5.904445648,17.4425923,2.153065918,209.3111076 +12394,MN,743,7501,104,89,2000,2,3,10011,L012,10,15,5600,1,4, ,300 WEST 20 STREET,C1-6A,R7B, , , , , , , , ,Y,RC,5,0, , ,10350,43197,11834,0,0,8477,0,3357,0,0,2,1,6.5,0,35,80.5,125,80,125, ,3,Y,0,5,702000,6352200,526500,2844900,2003,0,0, , ,4.17,4,2,4,1,1007437501,1380,89,984159,210119,8d, ,103 038,10303, ,1007430047,11/24/2004,1, , ,17V1.1,7,448.0490803,10928.08724,5650200,7,0,12393,12395,49,11025,15.57888889,21.67000008,6.091111183,15.9156145,1.324243119,779.8651104 +12395,MN,281,15,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,34 EAST BROADWAY,C6-1G, , , , , , , , , ,N,C7,4,0, ,HWLM CORP,1750,8462,3412,5050,1912,1500,0,0,0,0,2,1,6,8,12,25,70,25,54, ,3,Y,5,2,72000,209700,0,0,1900,0,0, , ,4.84,3.44,6,6.5,1,1002810015,0,8,985247,199310,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,197.1387407,1833.580163,137700,16,0,12394,12396,7,1575,35.10200119,36.75888824,1.656887054,35.54333442,0.700382526,248.8033409 +12396,MN,624,55,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,55 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,ERIC T. BISCHOF,1280,3204,0,2268,0,0,0,0,0,0,2,1,3,1,1,18,71.67,18,52,E,3,Y,5,1,52405,193071,0,0,1899,2005,0,Greenwich Village Historic District, ,2.5,2.43,0,4.8,1,1006240055,0,77,983137,207774,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,182.214959,1281.948362,140666,8,0,12395,12397,6,1350,20.58111191,20.58111191,0,20.58111191,0,123.4866714 +12397,MN,884,1,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,407 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D4,3,0, ,OLD GLORY REAL ESTATE,9535,114407,3874,110533,0,1674,2200,0,0,0,2,1,27,148,151,92,103,89,101, ,2,Y,3,2,2722500,15775200,47610,47610,1984,0,0, , ,12,10,10,10,1,1008840001,0,72,988787,210108,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,409.9872067,9879.105329,13052700,11,0,12396,12398,44,9900,32.07600021,40.68000031,8.604000092,34.42635363,3.409279603,1514.75956 +12398,MN,41,22,101,7,1003,2,1,10005,E004,1,15,7700,1,1,1B,56 WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,M1,8,0, ,CH OUR LADY VICTORY,6003,24000,24000,0,0,0,0,0,0,24000,2,1,3,0,3,107,57,108,57, ,3,N,3,2,2601000,4200300,2202073,3489824,1947,0,0, , ,4,10,15,15,1,1000410022,0,7,981832,196858,12b, ,101S006,10101, ,0, ,1, , ,17V1.1,0,330.2401511,6210.799274,1599300,4,0,12397,12399,29,6525,22.09499931,29.88722229,7.792222977,22.68758557,1.84728064,657.9399815 +12399,MN,517,7502,102,49,3001,2,3,10012,L020,1,15,6800,1,2, ,177 PRINCE STREET,R7-2, , , , , , , , , ,N,RC,5,0, , ,2387,14250,14250,0,11250,3000,0,0,0,0,2,1,6,0,6,25,95.5,25,94, ,0,N,0,5,607503,2738702,0,0,1920,1983,0,Sullivan-Thompson Historic District, ,5.97,3.44,0,6.5,1,1005177502,880,49,983750,203943,12a, ,101N071,10206, ,1005170040,12/24/1994,1, , ,17V1.1,7,245.2366884,2440.364865,2131200,9,0,12398,12400,11,2475,17.9011116,17.9011116,0,17.9011116,0,196.9122276 +12400,MN,425,4,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,189 BOWERY,C6-1, , , , , , , , , ,N,H3,5,0, ,OSIB-BCRE BOWERY STRE,19149,79408,0,0,0,0,0,0,0,0,2,4,19,0,1,100.91,126.5,0,0, ,0,Y,5,5,6236100,13793850,0,0,2015,0,0, , ,4.15,3.44,6,6.5,1,1004250004,0,18,986052,201812,12c, ,101N077,10204, ,1004250004,11/4/2013,1, , ,17V1.1,0,446.9110205,11105.42564,7557750,0,0,12399,12401,49,11025,38.80888748,38.80888748,0,38.80888748,0,1901.635487 +12401,MN,915,23,106,78,4002,2,2,10016,L007,17,13,5000,1,6,2A,237 EAST 34 STREET,C1-9A, , , , , ,TA, , , ,N,D6,4,0, ,237 PARTNERS LLC,7407,121221,13286,107935,0,6283,0,0,0,7003,2,2,25,108,110,75,98.75,75,98.75, ,3,N,5,2,4749750,13576950,0,0,2015,0,0, , ,16.37,10,2,10,1,1009150023,0,78,990816,210798,8d, ,104 022,10308, ,1009150023,5/9/2014,1, , ,17V1.1,0,353.9401869,7644.78469,8827200,10,0,12400,12402,34,7650,18.38999939,19.19888878,0.808889389,18.41379025,0.136668111,626.0688686 +12402,MN,705,45,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,510 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,O5,5,0,P,50 HYMC OWNER LLC,9875,11250,11250,0,8455,2795,0,0,0,0,2,2,2,0,1,60,98.75,60,93.75, ,0,N,5,2,666450,1515600,0,0,1900,0,0, , ,1.14,10,10,10,1,1007050045,0,99,984261,214209,8d, ,105S016,10302,E-137,1007050045,1/9/2011,1, , ,17V1.1,0,415.2414741,10762.03651,849150,6,0,12401,12403,48,10800,28.08399963,38.15000153,10.06600189,31.47893961,4.139253193,1510.989101 +12403,MN,391,45,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,327 EAST 8 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,LESPMHA HOUSING DEVEL,4649,17669,0,17669,0,0,0,0,0,0,2,2,5,12,12,49.5,93.92,49.5,81.83, ,3,N,5,2,135000,1808100,0,1516950,1900,1993,0, , ,3.8,4,0,4,1,1003910045,0,2602,990026,203503,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,294.4951674,4843.930463,1673100,12,1,12402,12404,21,4725,8.318888664,10.75555515,2.436666489,8.434920402,0.518909705,177.1333284 +12404,MN,413,49,103,18,1003,2,1,10002,E015,7,14,7400,1,3,2B,75 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,75 & 81 ORCHARD ASSOC,4435,18445,3850,14595,0,3850,0,0,0,0,2,1,6,30,33,50.5,87.83,51,68, ,3,Y,4,2,616500,2072700,0,0,1910,0,0, , ,4.16,4,4,4,1,1004130049,0,18,986825,200758,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,284.266519,4622.760696,1456200,13,0,12403,12405,20,4500,38.47555542,41.38666534,2.911109924,38.62111092,0.634461699,772.4222183 +12405,MN,807,39,105,101,1007,2,3,10001,L024,14,15,5200,1,5, ,875 AVENUE OF THE AMER,C6-6, , , , , ,MID, , , ,N,O4,5,0,P,OLD 875 LLC AND NEW 8,9875,214349,214349,0,205349,9000,0,0,0,0,2,1,25,0,280,98.75,100,96,98, ,2,N,3,2,6120000,28918350,0,0,1926,0,0, , ,21.71,10,15,15,1,1008070039,0,101,987202,211871,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,414.2296848,10723.04828,22798400,6,0,12404,12406,47,10575,41.90999985,41.90999985,0,41.90999985,0,1969.769993 +12406,MN,414,5,103,18,7000,2,1,10002,L006,5,14,7400,1,3,1A,55 DELANCEY STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,BCD DELANCEY LLC,4368,21865,3645,18220,0,3645,0,0,0,0,2,1,6,30,33,88,50,88,49, ,2,Y,3,2,495000,3849300,0,0,1900,2014,2015, , ,5.01,6.02,6,6.5,1,1004140005,0,18,986693,201286,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,286.2186259,4724.399752,3354300,13,0,12405,12407,20,4500,37.8544426,40.88444519,3.030002594,38.26821537,0.864212563,765.3643074 +12407,MN,471,6,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,6 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,S3,4,0, ,"CENTRE MARKET OWNERS,",1175,3888,1100,2788,0,1100,0,0,0,0,2,1,3,3,4,24.92,49,25,50, ,3,Y,5,5,79098,286832,0,0,1900,1986,0, , ,3.31,6.02,6,6.5,1,1004710006,0,41,984924,201620,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,149.4117434,1239.622635,207734,0,0,12406,12408,5,1125,24.86333275,24.86333275,0,24.86333275,0,124.3166637 +12408,MN,373,69,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,38 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,273 EAST THIRD LLC,3846,17108,2500,14608,0,2500,0,0,0,0,2,1,5,16,18,48.08,80,48,80,E,2,N,3,2,211950,1818900,0,0,1900,1983,0, , ,4.45,4,0,4,1,1003730069,0,2601,989717,202210,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,261.2480007,3962.444495,1606950,1,0,12407,12409,18,4050,13.10900021,13.46255589,0.353555679,13.12864219,0.080985967,236.3155594 +12409,MN,717,3,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,150 10 AVENUE,R8A, , , ,C2-5, , , , , ,N,C4,2,0, ,146-150 TENTH ASSOCIA,2001,8625,1570,7055,0,1570,0,0,0,0,2,1,5,15,16,25,80,25,66, ,3,N,5,2,90450,1090800,0,0,1900,1981,0, , ,4.31,6,0,6,1,1007170003,0,89,982721,210822,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,213.1203325,2020.333345,1000350,7,1,12408,12410,9,2025,9.621110916,9.947000504,0.325889587,9.65732087,0.102417217,86.91588783 +12410,MN,449,30,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,131 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,K1,5,0, ,JANIS ACKERMAN,1375,1350,1350,0,0,1350,0,0,0,0,2,1,1,0,1,27.5,50,26,50, ,2,N,3,2,180000,500400,0,0,1950,0,0, , ,0.98,4,0,4,1,1004490030,0,38,988237,204358,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,161.4563648,1455.23554,320400,12,0,12409,12412,7,1575,25.98744392,26.66699982,0.679555893,26.52750778,0.243114526,185.6925545 +12411,MN,404,45,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,321 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,321 EAST 10TH LLC,2126,9330,0,9330,0,0,0,0,0,0,2,1,5,10,10,25,85,25,78, ,3,N,5,2,41283,182971,0,0,1930,0,0,East 10th Street Historic District, ,4.39,4,0,4,1,1004040045,0,34,989558,204319,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,219.1651268,2089.43018,141688,12,0,12410,12413,9,2025,12.53199959,12.53199959,0,12.53199959,0,112.7879963 +12412,MN,827,60,105,58,1005,2,3,10010,E001,13,15,5700,1,5,1B,22 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,22 W 26TH ST APT CORP,4938,48685,4438,44247,0,4438,0,0,0,0,2,1,12,20,21,50,98.75,50,99,E,3,N,5,2,805500,5503050,9850,9850,1910,1981,0, , ,9.86,0,10,10,1,1008270060,0,58,986982,210341,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,299.8485759,4914.765369,4697550,2,0,12411,12414,21,4725,42.08222198,44.90777969,2.825557709,42.47301574,0.957548214,891.9333305 +12413,MN,181,13,101,39,4004,2,1,10013,E007,1,15,7700,1,1,3B,369 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,"189 FRANKLIN STREET,",1586,7687,7687,0,6187,1500,0,0,0,0,2,1,5,0,14,25.17,63,25,63, ,3,N,3,2,221400,1402650,0,0,1920,1988,0,Tribeca West Historic District, ,4.85,6.02,6,6.5,1,1001810013,0,39,981473,201337,12a, ,101S037,10105, ,0, ,1, , ,17V1.1,0,190.5628521,1843.586014,1181250,14,0,12412,12415,9,2025,16.80888939,18.25200081,1.44311142,17.57249429,0.63798151,158.1524487 +12414,MN,414,7501,103,18,7000,2,1,10002,L006,5,14,7400,2,3, ,101 ALLEN STREET,C6-2A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2228,6790,2326,4464,0,0,0,0,0,2326,2,1,5,16,20,25,89.1,0,89.1, ,0,N,5,5,134992,803648,9311,20023,1900,0,0, , ,3.05,6.02,6,6.5,1,1004147501,728,18,986763,201216,12c, ,101N078,10204, ,1004140020,2/26/1991,1, , ,17V1.1,7,230.9314488,2268.661181,668656,13,0,12413,12416,10,2250,37.8544426,37.8544426,0,37.8544426,0,378.544426 +12415,MN,872,71,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,110 EAST 17 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,NEW 1804 WASH CORP,2208,6746,0,6746,0,0,0,0,0,0,2,1,4,8,8,24,92,24,76, ,3,N,5,1,69726,328302,0,0,1900,1985,0,East 17th Street/Irving Place Historic D, ,3.06,4,0,4,1,1008720071,0,50,987512,207421,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,239.1769975,2312.609812,258576,5,0,12414,12417,11,2475,35.47555542,38.55110931,3.075553894,35.93171692,0.970531171,395.2488861 +12416,MN,400,14,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,516 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,512-518 5TH ST. ASSOC,2404,6935,0,6935,0,0,0,0,0,0,2,1,5,19,19,25,96.17,25,54, ,3,N,5,2,225000,1245150,0,0,1900,1989,0, , ,2.88,3,0,3,1,1004000014,0,32,988780,203164,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,242.432452,2405.420709,1020150,1,0,12415,12418,11,2475,15.8922224,19.27666664,3.384444237,16.29121217,0.986833675,179.2033339 +12417,MN,925,60,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,304 EAST 20 STREET,R8B,R9A, , , , , , , , ,Y,D8,3,0, ,304 EAST 20TH STREET,5888,56310,0,56310,0,0,0,0,0,0,2,1,8,70,70,64,92,64,86, ,1,N,5,2,936000,5778000,0,0,1948,1979,0, , ,9.56,4,0,4,1,1009250060,0,64,989278,207280,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,322.4420381,6261.486104,4842000,5,0,12416,12419,28,6300,15.27999973,20.69000053,5.410000801,16.08361088,1.682755457,450.3411045 +12418,MN,348,12,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,120 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,THOMAS LOCICERO,1800,7200,0,7200,0,0,0,0,0,0,2,2,5,11,11,24,75,24,59, ,3,N,5,2,97650,656100,2360,2360,1900,0,0, , ,4,4,0,4,1,1003480012,0,1402,988179,201245,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,202.0743057,1831.840811,558450,13,0,12417,12420,8,1800,24.76333427,24.76333427,0,24.76333427,0,198.1066742 +12419,MN,634,9,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,132 BANK STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,"SHIPMAN, SUSANNAH G",1026,2448,0,2448,0,0,0,0,0,0,2,1,3.5,1,1,18,57,18,32, ,2,N,5,2,21982,113737,0,0,1899,2008,0,Greenwich Village Historic District, ,2.39,4,2,4,1,1006340009,0,75,982038,207456,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,154.9356599,1135.57671,91755,9,0,12418,12421,5,1125,13.33333302,13.33333302,0,13.33333302,0,66.66666508 +12420,MN,421,78,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,42 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,DANMOR REALTY CORP,3930,19038,2000,17038,0,2000,0,0,0,0,2,1,6,30,32,44.25,100,44,88, ,3,Y,5,1,270000,1325250,0,0,1900,0,0, , ,4.84,4,4,4,1,1004210078,0,3601,986752,201982,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,294.7412925,4098.996169,1055250,13,0,12419,12422,18,4050,39.88000107,41.56200027,1.681999207,40.07669237,0.497801032,721.3804626 +12421,MN,622,62,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,71 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,"FALK, PETER",1805,3648,0,2736,0,0,0,0,0,0,2,1,3,3,3,19,95,19,54, ,3,N,5,1,33797,159451,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1006220062,0,73,983093,207282,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,230.7195952,1746.904623,125654,8,0,12420,12423,9,2025,24.5988884,25.89333344,1.294445038,24.78618495,0.403192306,223.0756645 +12422,MN,630,50,102,75,3004,2,3,10014,L005,6,15,6400,1,2,2B,133 CHRISTOPHER STREET,C1-6, , , , , , , , , ,N,B2,1,0, ,KESSLER STEPHEN G,1510,4176,0,3132,0,0,0,0,0,0,2,1,3,2,2,29,59.67,29,36, ,3,Y,5,1,60681,161410,0,0,1901,0,0,Greenwich Village Historic District, ,2.77,3.44,2,6.5,1,1006300050,0,75,982346,206376,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,167.1399577,1547.68939,100729,9,0,12421,12424,8,1800,18.16222191,18.16222191,0,18.16222191,0,145.2977753 +12423,MN,882,15,105,68,1001,2,2,10010,E016,13,14,5300,1,5,1B,121 EAST 26 STREET,C4-5A, , , , , , , , , ,N,C0,2,0, ,SCHMIDT MECHTILD,1407,3080,0,2310,0,0,0,0,0,0,2,1,3,3,3,14.25,98.75,14.25,55, ,3,N,5,1,74095,111831,1550,1550,1910,0,0, , ,2.19,4,4,4,1,1008820015,0,68,988721,209558,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,230.7426512,1427.922574,37736,11,0,12422,12425,7,1575,32.87555695,34.33133316,1.455776215,33.78241294,0.405202737,236.4768906 +12424,MN,862,7501,105,74,2001,2,2,10016,L007,14,15,5200,1,5, ,161 MADISON AVENUE,C5-2, , , , , , , , , ,N,RC,5,0,P,MADISON MEDICAL BUILD,5755,59128,59128,0,56932,2196,0,0,0,0,2,1,12,0,40,0.13,0,0,0, ,0,N,5,5,1315801,9450453,0,0,1900,0,0, , ,10.27,10,10,10,1,1008627501,317,74,988862,211332,8d, ,104 018,10306, ,1008620053,8/12/2014,1, , ,17V1.1,7,303.8942124,5044.395878,8134650,10,0,12423,12426,24,5400,40.45000076,44.12333298,3.673332214,40.73342657,0.943296083,977.6022377 +12425,MN,936,37,106,70,5000,2,2,10016,L007,17,14,5800,1,6,2A,545 1 AVENUE,R8, , , , , , , , , ,N,H8,8,0,X,NY UNIVERSITY,28449,215584,0,0,0,0,0,0,0,0,2,1,10,0,1,225.67,126,226,126, ,1,N,5,2,9000000,13762350,9000000,13762350,1986,0,0, , ,7.58,6.02,0,6.5,1,1009360037,0,70,991182,209759,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,710.1455507,28872.43333,4762350,10,0,12424,12427,128,28800,14.20400047,27.87444305,13.67044258,17.33459915,3.117801122,2218.828691 +12426,MN,503,18,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,184 PRINCE STREET,R7-2, , , , , , , , , ,N,S4,4,0, ,"PRINCE 184 , LLC",549,2459,549,1910,0,549,0,0,0,0,2,1,4.5,4,5,25,19.17,25,19.17,E,3,Y,5,5,263142,337298,0,0,1900,1986,0,Sullivan-Thompson Historic District, ,4.48,3.44,0,6.5,1,1005030018,0,49,983653,203881,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,107.1780573,604.432061,74156,0,0,12425,12428,3,675,15.37666702,15.54733276,0.170665741,15.4335556,0.080452602,46.30066681 +12427,MN,861,1,105,74,1004,2,4,10016,L024,14,15,5200,1,5,1A,303 5 AVENUE,C5-2, , , , , , , , , ,N,O4,5,0,P,SURREY INVESTORS,8512,160454,160454,0,152454,8000,0,0,0,0,2,1,20,0,171,56.75,150,57,150, ,2,N,3,1,4500000,20029950,0,0,1910,1979,2009, , ,18.85,10,10,10,1,1008610001,0,74,988274,211248,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,439.753713,9803.432846,15530000,10,0,12426,12429,42,9450,38.80799866,42.58222198,3.774223328,39.02275004,0.797208908,1638.955502 +12428,MN,589,43,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,301 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S9,4,0, ,301 SIXTH AVENUE CORP,4226,13008,4300,8708,0,2150,0,0,0,0,2,2,3,5,7,73.25,70,52,51, ,0,Y,5,2,559480,890411,0,0,1900,1987,2008,Greenwich Village Historic District Exte, ,3.08,3.44,0,6.5,1,1005890043,0,67,983689,205483,12a, ,103 005,10208, ,1005890043,1/5/1994,1, , ,17V1.1,0,251.8937249,3825.295388,330931,9,0,12427,12430,16,3600,15.87222195,17.22088814,1.348666191,16.03516638,0.431405374,256.5626621 +12429,MN,504,36,102,49,2000,2,3,10012,L020,1,15,6800,1,2,1A,100 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,D1,3,0, ,100 REALTY EQUITIES,8460,33750,0,33750,0,0,0,0,0,0,2,1,6,70,70,95.33,100,95,65, ,2,Y,5,2,585000,4915800,0,0,1920,1963,0,Sullivan-Thompson Historic District, ,3.99,3.44,0,6.5,1,1005040036,0,49,983327,203665,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,417.6586906,8960.424257,4330800,0,0,12428,12431,39,8775,17.73666573,18.68222237,0.945556641,17.76091077,0.149456477,692.6755199 +12430,MN,266,65,103,2.02,1000,1,2,10002,E015,7,14,8000,1,3,2B,549 GRAND STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0,P,EAST RIVER HOUSING CO,22750,41733,41733,0,20866,20867,0,0,0,0,2,1,2,0,16,316.42,162.33,283,154, ,1,Y,1,2,1530000,3252150,0,0,1956,0,0, , ,1.83,3.44,0,6.5,1,1002660065,0,202,989674,199349,12d, ,101N061,10107, ,0, ,1, , ,17V1.1,0,790.0112966,24249.85746,1722150,13,0,12429,12432,106,23850,20.30444527,26.56222153,6.25777626,20.9216666,1.164290555,2217.696659 +12431,MN,277,17,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,107 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,107 MADISON LLC,2514,9075,1600,7475,0,1600,0,0,0,0,2,1,5,16,17,25,100,25,70, ,3,N,5,1,171000,584550,0,0,1910,0,0, , ,3.61,3.44,0,6.5,1,1002770017,0,8,985625,198849,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,255.0198457,2558.642287,413550,16,0,12430,12433,11,2475,26.91300011,29.06333351,2.150333405,27.53632355,0.855506767,302.899559 +12432,MN,405,7502,103,34,2000,1,2,10009,L011,9,14,6200,4,3, ,549 EAST 11 STREET,R7A, , , ,C1-5, , , , , ,N,RM,4,0, ,DEL ESTE 111 CONDOMIN,5702,13905,5380,8525,0,5380,0,0,0,0,2,1,4,9,10,90.5,63,0,0, ,0,N,0,5,73360,1042918,16520,404341,1999,0,0, , ,2.44,4,0,4,1,1004057502,1092,34,989905,204401,12c, ,102 029,10203, ,1004050037,12/7/1999,1, , ,17V1.1,7,318.4107268,6161.338644,969558,12,1,12431,12434,28,6300,11.72555542,13.89999962,2.174444199,11.84218243,0.413293676,331.5811081 +12433,MN,467,15,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,212 EAST 12 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,ONE-ARAB TRADE CENTER,2130,9025,0,9025,0,0,0,0,0,0,2,1,5,9,9,20,106.5,20,97, ,2,N,5,2,215632,514189,0,0,1900,0,0, , ,4.24,4,0,4,1,1004670015,0,40,987717,205755,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,259.9886959,2303.603994,298557,12,0,12432,12435,10,2250,28.52666664,29.00133324,0.474666595,28.5741333,0.142399979,285.741333 +12434,MN,461,37,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,237 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,"237 EAST REALTY,",2910,12203,2034,10169,0,2034,0,0,0,0,2,1,6,17,18,30,97,30,82, ,3,N,5,2,262350,2089800,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.19,4,0,4,1,1004610037,0,38,987196,204213,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,262.3022418,3034.550288,1827450,1,0,12433,12436,13,2925,36.55199814,36.55199814,0,36.55199814,0,475.1759758 +12435,MN,446,3,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,76 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,M1,8,0,X,SPANISH EVANGELICAL C,2400,6708,6708,0,0,0,0,0,0,6708,2,1,3,0,2,24,100,24,90, ,3,N,5,2,176400,463950,176400,463950,1920,1965,0,East Village/Lower East Side Historic Di, ,2.8,4,0,4,1,1004460003,0,38,987309,203878,12c, ,102 010,10205,E-216,0, ,1, , ,17V1.1,0,255.489821,2475.241696,287550,1,0,12434,12437,12,2700,32.62111282,36.09555817,3.474445343,32.91064994,0.960285963,394.9277992 +12436,MN,844,7501,105,52,2004,2,2,10003,L003,13,15,5700,1,5, ,5 EAST 16 STREET,C6-2A, , , , , , , , , ,N,RC,5,0,P,SL GREEN PROPERTIES,4600,43819,43819,0,37195,3510,0,3114,0,0,2,1,12,0,12,0.1,92,50,82, ,3,N,5,5,683099,5678099,0,0,1920,0,0,Ladies' Mile Historic District, ,9.53,6.02,6,6.5,1,1008447501,169,52,986511,207865,12c, ,102 034,10306, ,1008440006,11/29/1984,1, , ,17V1.1,7,297.3530368,4932.358627,4995000,7,0,12435,12438,22,4950,41.19499969,43.32221985,2.127220154,41.44792886,0.592219698,911.854435 +12437,MN,543,51,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,132 WEST 4 STREET,R7-2, , , , , , , , , ,N,C0,2,0, ,LUCKY PRINCE CORP,2317,5170,0,4136,0,0,0,0,0,0,2,1,4,3,3,22,109,22,47,E,2,Y,5,1,37817,186390,0,0,1899,0,0,South Village Historic District, ,2.23,3.44,0,6.5,1,1005430051,0,65,984213,205613,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,269.8501601,2398.355207,148573,9,0,12436,12439,10,2250,18.19555664,18.49544334,0.299886703,18.22554531,0.089966011,182.2554531 +12438,MN,819,7504,105,54,1004,2,3,10011,E014,13,15,5700,1,5, ,15 WEST 17 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,2576,24414,2414,22000,0,2414,0,0,0,0,2,1,11,10,11,28,92,28,82, ,3,N,0,5,303746,3754350,2360,2360,1906,1987,0,Ladies' Mile Historic District, ,9.48,10,10,10,1,1008197504,1810,54,986163,208336,8d, ,102 041,10306, ,1008190029,1/8/2008,1, , ,17V1.1,7,255.8026688,2878.6017,3450600,7,0,12437,12440,12,2700,32.36888886,32.63844299,0.269554138,32.3913517,0.074500828,388.6962204 +12439,MN,151,31,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,311 BROADWAY,C6-4A, , , , , , , , , ,N,D7,4,0,P,311 BROADWAY LLC,3701,19930,6430,13500,0,6430,0,0,0,0,2,1,5,8,10,35.25,104.75,35,98, ,3,Y,5,2,521644,1518078,0,0,1930,1957,1998, ,311 BROADWAY BUILDING,5.39,10,10,10,1,1001510031,0,33,982736,200006,12a,Y,101S033,10104, ,0, ,1, , ,17V1.1,0,297.2728384,4260.410425,996434,14,0,12438,12441,19,4275,23.98999977,23.98999977,0,23.98999977,0,455.8099957 +12440,MN,807,22,105,101,1007,2,3,10001,L024,14,15,5200,1,5,1H,133 WEST 31 STREET,C6-4.5, , , , , ,MID, , , ,N,M4,8,0,X,ST FR HM FOR MISSION,4046,10990,10990,0,0,0,0,0,0,10990,2,1,4,0,0,46,98.75,46,80, ,0,Y,5,5,540450,924750,540450,924750,1920,0,0, , ,2.72,10,12,12,1,1008070022,0,101,986896,212036,8d, ,105S024,10305, ,1008070022,1/5/2007,1, , ,17V1.1,0,293.1795313,4286.201812,384300,6,0,12439,12442,18,4050,37.13700104,37.22689056,0.089889526,37.1419949,0.020590223,668.5559082 +12441,MN,742,21,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,327 WEST 18 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,BANNISTER TERRANCE,2008,6164,0,6164,0,0,0,0,0,0,2,1,4,6,6,21.83,92,22,72,E,3,N,5,5,77051,359868,0,0,1910,1987,0, , ,3.07,3,0,3,1,1007420021,0,89,983745,209956,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,227.3982632,1943.655501,282817,7,0,12440,12443,9,2025,15.59444427,15.59444427,0,15.59444427,0,140.3499985 +12442,MN,768,72,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,264 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C1,2,0, ,"UNITED CHELSEA,",5253,22554,0,22554,0,0,0,0,0,0,2,1,6,30,30,54.92,93.67,55,80, ,2,Y,5,2,205650,2508300,0,0,1913,1988,0, , ,4.29,6.02,6,6.5,1,1007680072,0,87,984370,209715,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,302.9352102,5354.672257,2302650,7,0,12441,12444,23,5175,21.88888931,23.82888794,1.939998627,21.97323708,0.395626093,505.3844528 +12443,MN,589,8,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,251 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S1,4,0, ,WAGGOTT BERT,1034,3200,1280,1920,0,640,0,0,0,640,2,1,4,1,2,15.67,66,15.67,40, ,3,N,5,2,66640,121098,3380,3380,1899,0,0,Greenwich Village Historic District Exte, ,3.09,3.44,0,6.5,1,1005890008,0,67,983510,205613,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,169.4416604,1083.569542,54458,9,0,12442,12445,4,900,17.07900047,17.07900047,0,17.07900047,0,68.31600189 +12444,MN,408,24,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,330 GRAND STREET,C4-4A, , , , , , , , , ,N,K2,5,0, ,330 GRAND STREET CORP,2975,5338,5338,0,1438,3900,0,0,0,0,2,3,2,0,10,49.58,60,49.6,57, ,0,N,5,2,200700,500400,0,0,1900,0,0, , ,1.79,4,4,4,1,1004080024,0,18,986989,200574,12c, ,101N079,10204,E-216,0, ,1, , ,17V1.1,0,226.0011789,3133.188525,299700,13,0,12443,12446,15,3375,36.36111069,37.75222397,1.391113281,36.61451823,0.441908767,549.2177734 +12445,MN,398,52,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,174 EAST 2 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,VILLAGE KF 2 ASSOCIAT,2226,5250,500,4750,0,500,0,0,0,0,2,1,5,9,10,21,106,21,48, ,3,N,5,2,84335,453325,0,0,1900,1987,0, , ,2.36,4,0,4,1,1003980052,0,3002,988534,202590,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,259.8106618,2240.273144,368990,1,0,12444,12447,10,2250,19.43000031,22.75777817,3.327777863,20.37897816,1.418378221,203.7897816 +12446,MN,791,16,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,143 WEST 15 STREET,R8B, , , , , , , , , ,N,O3,5,0,X,PUERTO RICAN FAMILY F,4132,27353,27353,0,27353,0,0,0,0,0,2,1,7,0,1,40,103.25,40,103,E,3,N,5,2,940500,2795400,940500,2795400,1909,1989,0, , ,6.62,4,0,4,1,1007910016,0,81,984831,208499,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,292.6023155,4197.145583,1854900,7,0,12445,12448,18,4050,27.87888908,27.87888908,0,27.87888908,0,501.8200035 +12447,MN,574,38,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,12 WEST 11 STREET,R6, , , , , , , , , ,N,M3,8,0,X,CHURCH OF THE ASCENSI,2385,13205,13205,0,0,0,0,0,0,13205,2,1,4,0,1,25.17,94.75,25.16,85, ,3,N,5,2,422550,737550,422550,737550,1920,1988,0,Greenwich Village Historic District, ,5.54,2.43,0,4.8,1,1005740038,0,63,985420,206730,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,245.2774919,2494.783516,315000,8,0,12446,12449,11,2475,24.13299942,29.61000061,5.47700119,24.63090862,1.574527137,270.9399948 +12448,MN,449,53,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,57 EAST 7 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,LEW TWO REALTY LLC,2438,7358,0,7358,0,0,0,0,0,0,2,1,5,28,28,25,97.5,25,58.67,E,3,N,5,2,109800,1099350,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,3.02,4,0,4,1,1004490053,0,38,987830,204429,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,250.1179718,2501.483393,989550,12,0,12447,12450,12,2700,25.48777771,31.05666542,5.568887711,27.0733331,2.270559346,324.8799973 +12449,MN,344,154,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,141 ATTORNEY STREET,R7A, , , , , , , , , ,N,C6,2,0,P,141 ATTORNEY STREET H,3500,18753,2000,16753,0,2000,0,0,0,0,2,1,6,19,21,56,62.5,56,62,E,1,Y,5,2,225000,515250,225000,240857,1920,1987,0, , ,5.36,4,0,4,1,1003440154,0,2201,988714,201553,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,243.683701,3640.165356,290250,1,0,12448,12451,16,3600,22.30599976,23.34333229,1.037332535,22.44719422,0.309558601,359.1551075 +12450,MN,460,45,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,83 EAST 4 STREET,R8B, , , , , , , , , ,N,J5,5,0,X,NEW YORK THEATRE WORK,2404,7800,7800,0,0,0,0,0,0,7800,2,1,3,2,3,25,96.17,25,89,E,3,N,5,1,220500,487350,220500,487350,1920,1986,0,East Village/Lower East Side Historic Di, ,3.24,4,0,4,1,1004600045,0,38,987054,204004,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,252.2612716,2590.133719,266850,1,0,12449,12452,12,2700,35.65444565,35.65444565,0,35.65444565,0,427.8533478 +12451,MN,620,61,102,73,4000,2,3,10014,L005,6,15,6400,1,2,2B,72 CHARLES STREET,R6, , , , , , , , , ,N,C4,2,0, ,"CHARLES THOMPSON, LLC",2375,9545,0,9545,0,0,0,0,0,0,2,1,5,17,17,25,95,25,81, ,3,N,5,2,225000,1034550,0,0,1901,1986,0,Greenwich Village Historic District, ,4.02,2.43,0,4.8,1,1006200061,0,73,983281,206929,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,246.7176423,2336.543181,809550,8,0,12450,12453,9,2025,24.70777702,25.63066673,0.922889709,24.81032032,0.290036254,223.2928829 +12452,MN,927,15,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,323 EAST 21 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,323 EAST 21ST STREET,2500,11718,0,11718,0,0,0,0,0,0,2,2,5,18,18,25,100,25,64, ,0,N,5,2,129150,1245150,7080,7080,1910,0,0, , ,4.69,4,0,4,1,1009270015,0,64,989658,207522,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,257.1378042,2527.888777,1116000,5,0,12451,12454,11,2475,12.9244442,14.5199995,1.595555305,13.06949468,0.4586899,143.7644415 +12453,MN,147,7503,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,56 THOMAS STREET,C6-2A, , , , , , , , , ,N,R1,2,0, ,56 THOMAS CONDOMINIUM,2510,11133,0,11133,0,0,0,0,0,0,2,1,6,6,6,25,100.58,0,0, ,0,Y,0,5,151450,1067727,0,0,1920,0,0,Tribeca South Historic District, ,4.44,6.02,6,6.5,1,1001477503,905,33,982251,200339,12a, ,101S036,10104, ,1001470025,12/14/1995,1, , ,17V1.1,7,262.9763905,2701.853871,916277,14,0,12452,12455,13,2925,12.94333363,18.22444534,5.281111717,13.94982932,1.925660439,181.3477812 +12454,MN,210,11,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,322 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K2,5,0,P,322 EQUITIES ASSOCS,1826,2000,2000,0,825,825,0,350,0,0,2,1,2,0,1,102,45.17,20,46, ,3,Y,5,2,158850,432450,0,0,1920,0,0,Tribeca East Historic District, ,1.1,6.02,6,6.5,1,1002100011,0,33,983411,201570,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,133.529426,914.6155562,273600,0,1,12453,12456,4,900,12.1671114,12.33199978,0.164888382,12.29077768,0.071398764,49.16311073 +12455,MN,472,11,102,45,1005,2,1,10013,E055,5,15,6800,1,2,1A,407 BROOME STREET,M1-5B, , , , , , , , , ,N,O6,5,0, ,A TRENKMANN EST INC,4520,30392,30392,0,26392,4000,0,0,0,0,2,1,7,0,13,26.58,118.5,27,119, ,0,Y,5,5,612000,3175650,0,0,1900,1988,2016,SoHo-Cast Iron Historic District Extensi, ,6.72,0,5,6.5,1,1004720011,0,45,984744,201831,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,410.248251,4686.161607,2563650,0,0,12454,12457,20,4500,28.8239994,33.4944458,4.670446396,29.25282173,1.292132634,585.0564346 +12456,MN,618,24,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,214 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,O6,5,0, ,"BEVERLY, ROBERT TR",6575,53906,53906,0,35000,0,0,18906,0,0,2,1,8,0,6,50,131.5,50,126,E,2,N,5,2,540000,3746700,0,0,1916,1982,0, , ,8.2,6.02,6,6.5,1,1006180024,0,77,983998,208411,8d,Y,103 031,10209, ,0, ,1, , 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,17V1.1,0,255.8610192,2526.36053,1374300,0,0,12471,12474,12,2700,24.86333275,24.86333275,0,24.86333275,0,298.359993 +12473,MN,881,29,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,137 EAST 25 STREET,C6-3A,C6-2A, , , , , , , , ,Y,O3,5,0, ,"137 AND 138 REALTY,LL",6526,71043,71043,0,71043,0,0,0,0,0,2,1,10,0,17,45.17,197.5,45.17,197.5, ,3,Y,4,1,1440000,8373150,0,0,1910,1986,0, , ,10.89,7.52,6,7.5,1,1008810029,0,68,988885,209155,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,494.2011506,6674.180112,6933150,11,0,12472,12475,29,6525,30.02400017,33.30711365,3.28311348,30.18607685,0.643943653,875.3962288 +12474,MN,909,35,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,238 EAST 29 STREET,R8B, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,5925,6534,6534,0,0,0,6534,0,0,0,2,1,2,0,1,60,98.75,41,92, ,1,N,5,2,508500,911700,508500,911700,1968,0,0, , ,1.1,4,0,4,1,1009090035,0,66,990104,209497,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,321.2937738,5995.377617,403200,11,0,12473,12476,25,5625,34.61700058,37.70444489,3.087444305,35.15214691,0.993332631,878.8036728 +12475,MN,624,30,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,4 8 AVENUE,C1-6, , , , , , , , , ,N,S4,4,0,P,"11 ABINGDON SQUARE, L",1077,4400,700,3700,0,700,0,0,0,0,2,1,5,4,5,22.33,40.75,22,42, ,3,Y,5,5,181558,415028,0,0,1920,0,0,Greenwich Village Historic District, ,4.09,3.44,2,6.5,1,1006240030,0,77,982830,207794,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,136.8491947,1036.653245,233470,8,0,12474,12477,5,1125,20.58111191,20.58111191,0,20.58111191,0,102.9055595 +12476,MN,474,19,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,43 MERCER STREET,M1-5B, , , , , , , , , ,N,S3,4,0, , ,2516,7265,2000,5265,0,2000,0,0,0,0,2,2,4,3,4,25.17,100,25.77,85, ,0,Y,5,5,217608,1258137,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,2.89,0,5,6.5,1,1004740019,0,47,983846,202181,12a, ,101N 70,10206, ,1004740018,12/28/1994,1, , ,17V1.1,0,255.9599799,2552.18505,1040530,0,0,12475,12478,12,2700,14.17000008,14.17000008,0,14.17000008,0,170.0400009 +12477,MN,804,49,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,114 WEST 29 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,WEST 29TH ST OWNERS,8394,73668,13900,59768,0,13900,0,0,0,0,2,3,4,38,46,85,98.75,85,90, ,3,N,5,2,801000,8488350,7080,7080,1912,1980,0, , ,8.78,0,10,10,1,1008040049,0,95,986716,211373,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,378.6503985,8916.600991,7687350,6,0,12476,12479,39,8775,39.78889084,40.67900085,0.890110016,40.65380996,0.141064896,1585.498589 +12478,MN,583,20,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,48 MORTON STREET,R6, , , , , , , , , ,N,A9,1,0, ,EDWARD N WOLFF & JANE,1816,3593,0,3593,0,0,0,0,0,0,2,1,4,1,1,18.17,100,18.17,58.7,E,3,N,5,2,47494,207246,1550,1550,1852,1961,0,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1005830020,0,67,982715,205455,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,235.9996995,1800.001779,159752,9,0,12477,12480,8,1800,15.38333321,17.98666573,2.60333252,15.96124983,1.011548385,127.6899986 +12479,MN,641,61,102,79,3002,2,3,10014,L005,6,15,6100,1,2,3B,341 WEST 12 STREET,R6, , , , , , , , , ,N,B1,1,0, ,KNOX FARM LLC,1453,3020,0,2150,0,0,0,0,0,0,2,1,3,2,2,18.17,80,18.17,40.5,E,2,N,5,1,133970,156218,0,0,1899,2014,0,Greenwich Village Historic District, ,2.08,2.43,0,4.8,1,1006410061,0,79,982318,208054,12a,Y,103 014,10210, ,0, ,1, , ,17V1.1,0,207.8302544,1627.057599,22248,8,0,12478,12481,12,2700,12.27999973,15.3866663,3.106666565,12.88148133,1.108680771,154.577776 +12480,MN,622,56,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,53 PERRY STREET,R6, , , , , , , , , ,N,D1,3,0, ,55 PERRY ST COMPANY L,7825,34140,0,34140,0,0,0,0,0,0,2,1,6,72,72,74.17,105.5,74,94, ,3,N,3,2,976500,4782600,0,0,1930,1988,0,Greenwich Village Historic District, ,4.36,2.43,0,4.8,1,1006220056,0,73,983252,207316,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,361.2851556,7950.821921,3806100,8,0,12479,12482,35,7875,24.5988884,29.06888962,4.470001221,24.72660272,0.74469606,865.4310951 +12481,MN,595,37,101,39,1003,2,1,10013,L008,1,15,7700,1,1, ,508 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,S2,4,0, ,OSBORNE KIPP,1364,2860,1100,1760,0,1100,0,0,0,0,2,1,3,2,3,19.33,80.5,19.33,80.5, ,3,Y,5,0,24744,87091,1550,1550,1899,0,0, ,508 CANAL STREET HOUSE,2.1,6.02,6,6.5,1,1005950037,0,39,981554,203293,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,198.7591874,1559.008161,62347,0,1,12480,12483,8,1800,7.909999847,7.909999847,0,7.909999847,0,63.27999878 +12482,MN,909,134,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,240 EAST 29 STREET,C1-8A, , , , , , , , , ,N,S3,4,0, ,JFLB LLC,549,2112,528,1584,0,528,0,0,0,0,2,1,4,3,4,22.25,24.67,22,25, ,2,N,5,5,105132,243937,0,0,1910,0,0, , ,3.85,7.52,2,7.5,1,1009090134,0,66,990158,209509,8d, ,104 008,10308, ,1009090034,12/18/1984,1, , ,17V1.1,0,99.83362431,619.1201373,138805,11,0,12481,12484,3,675,34.61700058,36.36777878,1.750778198,35.29181544,0.768980343,105.8754463 +12483,MN,504,14,102,37,3000,2,3,10013,L020,1,15,6800,1,2,1A,194 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,D0,3,0,P,196 SIXTH CORP,5000,32738,0,32738,0,0,0,0,0,0,2,1,9,20,20,50,100,50,94, ,3,N,5,2,256950,4037850,4720,4720,1925,1985,2015,Sullivan-Thompson Historic District, ,6.55,3.44,0,6.5,1,1005040014,0,37,983368,203923,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,304.7429821,5189.151101,3780900,0,0,12482,12485,23,5175,19.94300079,21.02900124,1.086000443,19.9902182,0.221469287,459.7750187 +12484,MN,732,7,104,111,2003,2,3,10001,L021,10,15,5500,1,4,2B,455 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,D6,4,0,P,WEST 34TH APTS CORP,8223,97867,3000,94867,0,3000,0,0,0,0,2,1,16,127,129,83.25,98.75,77,79, ,1,N,5,2,388800,8280450,0,1284272,1929,1984,0, , ,11.9,10,10,10,1,1007320007,0,111,984703,214181,8d, ,105S029,10302, ,0, ,1, , ,17V1.1,0,379.6619677,8896.191861,7891650,6,0,12483,12486,40,9000,36.17555618,48.60666656,12.43111038,38.14348392,4.078986879,1525.739357 +12485,MN,696,40,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,508 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,K1,5,0, ,508 WEST 25TH LLC,3950,4000,4000,0,0,4000,0,0,0,0,2,1,1,0,1,40,98.75,40,98.75, ,0,N,5,5,533250,1521450,0,0,2013,0,0, , ,1.01,0,5,6.5,1,1006960040,0,99,983167,212161,8b, ,15S 003,10301,E-142,1006960033,7/25/2005,1, , ,17V1.1,0,281.1294969,4031.658929,988200,2,1,12484,12487,17,3825,8.63299942,12.91333294,4.280333519,12.00838566,0.999955233,204.1425562 +12486,MN,722,65,104,93,5000,2,3,10001,E003,10,15,5200,1,4,2B,446 WEST 25 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,GARVIN-HOFFER LLC,1975,3360,0,3360,0,0,0,0,0,0,2,1,3,8,8,20,98.75,20,41, ,3,N,5,1,65182,304014,0,0,1910,0,0, , ,1.7,3,0,3,1,1007220065,0,93,983552,211947,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,240.1981078,2071.362013,238832,2,1,12485,12488,9,2025,10.68099976,13.87555599,3.194556236,11.2169999,0.958028037,100.9529991 +12487,MN,823,7503,105,58,1009,2,3,10010,E014,13,15,5700,1,5, ,31 WEST 21 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,5530,55764,7520,48244,0,7520,0,0,0,0,2,1,11,11,12,56,98.75,0,0, ,0,N,5,5,660150,9494100,4720,4720,1910,0,0,Ladies' Mile Historic District, ,10.08,10,10,10,1,1008237503,1215,58,986438,209306,8d, ,102 042,10306, ,1008230020,2/21/2002,1, , ,17V1.1,7,312.1001161,5602.771066,8833950,7,0,12486,12489,24,5400,33.74333191,33.74333191,0,33.74333191,0,809.8399658 +12488,MN,588,7,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,22 GROVE STREET,R6, , , , , , , , , ,N,D4,3,0, ,GROVE HOUSE INC,4417,20370,0,20370,0,0,0,0,0,0,2,1,6,35,35,44.17,100,44,86, ,3,N,5,2,344250,1859400,0,0,1930,0,0,Greenwich Village Historic District, ,4.61,2.43,0,4.8,1,1005880007,0,73,982830,206086,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,299.4963959,4783.235259,1515150,9,0,12487,12490,21,4725,18.94666672,22.07777786,3.131111145,19.23037039,0.875694386,403.8377781 +12489,MN,443,4,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,26 2 AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0,P,PORYTKO PROPERTIES LL,3596,14543,2000,12543,0,2000,0,0,0,0,2,3,6,25,27,26,100,26,46, ,0,Y,5,2,233100,845550,0,0,1900,0,0, , ,4.04,6.02,6,6.5,1,1004430004,0,3602,986942,203203,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,278.7252134,3683.42128,612450,1,0,12488,12491,16,3600,38.60800171,41.29888916,2.690887451,39.15591788,1.021722301,626.4946861 +12490,MN,909,43,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,220 EAST 29 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,J & H REALTY,9875,41094,0,41094,0,0,0,0,0,0,2,2,6,82,82,100,98.75,50,82, ,3,N,5,2,688500,4781250,0,0,1910,1985,0, , ,4.16,4,0,4,1,1009090043,0,66,989999,209555,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,404.9295696,10247.77671,4092750,11,0,12489,12492,45,10125,35.64599991,38.81777573,3.171775818,36.01112578,0.940126608,1620.50066 +12491,MN,591,47,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,84 CHRISTOPHER STREET,R6,C1-6, , , , , , , , ,Y,S5,4,0, ,CHRISTOPHER DEVELOPME,1386,3564,450,3114,0,450,0,0,0,0,2,1,3,5,6,21,68,21,45, ,3,Y,5,5,54875,265276,0,0,1915,1988,0,Greenwich Village Historic District, ,2.57,2.43,0,4.8,1,1005910047,0,73,983224,206445,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,181.9122674,1477.14477,210401,9,0,12490,12493,6,1350,23.46111107,24.80888939,1.34777832,23.68574079,0.502287324,142.1144447 +12492,MN,765,24,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,221 WEST 15 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,BERNARDO FELIX,2582,10245,0,10245,0,0,0,0,0,0,2,1,5,21,21,25,103.25,25,90, ,3,N,5,2,244800,1176750,0,0,1901,1988,0, , ,3.97,4,0,4,1,1007650024,0,81,984248,208821,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,260.3554687,2615.171564,931950,7,0,12491,12494,11,2475,22.05333328,25.23222351,3.178890228,22.56626268,1.098730299,248.2288895 +12493,MN,640,44,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,354 WEST 12 STREET,R6, , , , , , , , , ,N,C6,2,0, ,350-52-54 WEST 12TH O,5649,23720,0,23720,0,0,0,0,0,0,2,3,5,49,49,24.92,80.42,25,60, ,3,N,5,2,450000,2933100,14160,14160,1915,0,0,Greenwich Village Historic District, ,4.2,2.43,0,4.8,1,1006400044,0,79,982163,207918,12a, ,103 013,10210, ,1006400044,1/6/1999,1, , ,17V1.1,0,307.4227688,5878.82251,2483100,8,0,12492,12495,30,6750,11.96800041,15.02333355,3.055333138,12.56614103,0.918763361,376.984231 +12494,MN,604,33,102,69,1001,2,3,10014,E024,6,15,6400,1,2,2B,154 CHRISTOPHER STREET,C6-2, , , , , , , , , ,N,D6,4,0,M,ARCHIVE PRESERVATIONC,54020,553000,80000,473000,25000,43000,12000,0,0,0,2,1,11,479,498,239.67,213.67,214,240, ,3,Y,1,2,32625000,102951000,32625000,102951000,1892,1987,0, ,UNITED STATES FEDERAL BUILDING,10.24,6.02,6,6.5,1,1006040033,0,69,981982,206058,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,965.779886,55607.29435,70326000,9,0,12493,12496,248,55800,14.62100029,18.28111076,3.660110474,14.70356927,0.452607784,3646.485179 +12495,MN,503,1,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,97 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,SULLIVAN PROPERTIESLP,1648,5915,1100,4815,0,1100,0,0,0,0,2,1,5,8,9,25,65.92,25,51, ,2,N,5,2,443492,707834,0,0,1900,0,0,Sullivan-Thompson Historic District, ,3.59,3.44,0,6.5,1,1005030001,0,49,983424,203575,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,189.8192648,1787.995505,264342,0,0,12494,12497,8,1800,17.01300049,18.45555496,1.442554474,17.35795856,0.511467725,138.8636684 +12496,MN,591,53,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,108 7 AVENUE SOUTH,C4-5, , , , , , , , , ,N,K4,4,0, ,108 7TH AVE. SOUTH IN,1027,3084,3084,0,0,1028,0,0,0,2056,2,1,3,0,3,31,54.42,26,54.42, ,3,Y,4,2,223650,849600,0,0,1910,0,0,Greenwich Village Historic District, ,3,3.44,3.4,6.5,1,1005910053,0,73,983372,206489,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,146.0643571,1104.607665,625950,9,0,12495,12498,4,900,23.46111107,24.31444359,0.85333252,23.6744442,0.36950382,94.69777679 +12497,MN,387,20,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,620 EAST 5 STREET,R8B,R7A, , , , , , , , ,Y,C9,2,0,O,NEW YORK CITY HSG AUT,31127,32946,0,32946,0,0,0,0,0,0,2,1,3,48,48,323.67,96.17,32.25,34, ,0,N,5,5,900000,2143350,900000,2143350,1988,0,0, , ,1.06,4,0,4,1,1003870020,0,2601,989577,202718,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,841.3780523,31620.73835,1243350,1,1,12496,12499,142,31950,12.34666634,15.16888905,2.82222271,14.15343117,0.440568265,2009.787226 +12498,MN,163,22,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,65 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,116 MADISON STREET LL,2599,14200,1800,12400,0,1800,0,0,0,0,2,1,7,24,26,26.5,99,27,84, ,3,Y,5,2,175500,927900,0,0,1915,1985,0, , ,5.46,3.44,6,6.5,1,1001630022,0,29,984748,199882,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,256.2129315,2812.993652,752400,14,0,12497,12500,12,2700,33.5909996,33.5909996,0,33.5909996,0,403.0919952 +12499,MN,921,46,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,332 EAST 15 STREET,R8A, , , , , , , , , ,N,C1,2,0, ,15TH ASSOCIATES LLC,4337,22680,0,22680,0,0,0,0,0,0,2,1,6,24,24,42,103.25,42,90, ,3,N,5,2,197100,2242350,0,0,1910,1986,0, , ,5.23,6,0,6,1,1009210046,0,48,988890,206067,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,294.6332546,4387.848687,2045250,5,0,12498,12501,19,4275,21.21777725,23.11000061,1.892223358,21.31736796,0.422527569,405.0299912 +12500,MN,927,6,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,305 EAST 21 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,305 EAST 21TH STREET,5000,21356,0,21356,0,0,0,0,0,0,2,1,6,37,37,50,100,50,88, ,2,N,5,2,235800,2047050,0,0,1910,1980,0, , ,4.27,4,0,4,1,1009270006,0,64,989495,207613,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,309.8088977,5275.80126,1811250,5,0,12499,12502,23,5175,12.9244442,20.38555527,7.461111069,13.31881142,1.518989954,306.3326626 +12501,MN,143,8,101,39,4007,2,1,10013,E007,1,15,7700,1,1,3A,171 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,171 DUANE ST OWNERS C,2250,11250,2250,9000,0,2250,0,0,0,0,2,1,5,4,5,25,90,25,88, ,3,N,3,2,265379,737100,0,0,1920,0,0,Tribeca West Historic District, ,5,6.02,6,6.5,1,1001430008,0,39,981567,200700,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,238.6119232,2450.800502,471721,14,0,12500,12503,11,2475,16.87599945,16.87599945,0,16.87599945,0,185.635994 +12502,MN,468,1,103,40,1001,1,2,10003,L003,9,14,6200,1,3,4B,87 3 AVENUE,R8B,C6-2A, , , , , , , , ,Y,D7,4,0, ,"AMDAR COMPANY, LLC",20662,92304,8500,83804,0,8500,0,0,0,0,2,1,6,120,121,225,103,220,101, ,3,Y,3,2,4590000,14192100,0,0,1930,1988,0, , ,4.47,4,0,4,1,1004680001,0,40,987718,205935,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,667.4617353,21441.72754,9602100,12,0,12501,12504,95,21375,29.43199921,40.16777802,10.73577881,30.46472443,2.824648481,2894.148821 +12503,MN,805,19,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,135 WEST 29 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,MFM PROPERTIES,5974,70862,70862,0,65262,5000,0,0,0,600,2,1,12,0,12,60.5,98.75,61,92, ,0,N,5,5,1678500,7420500,0,0,1911,0,0, , ,11.86,0,10,10,1,1008050019,0,95,986625,211602,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,321.5007041,6069.113627,5742000,6,0,12502,12505,27,6075,34.63499832,34.63499832,0,34.63499832,0,935.1449547 +12504,MN,479,190,102,41,1001,2,1,10012,E055,5,15,6800,1,2,1G,18R SPRING STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C2,2,0,P,18R SPRING STREET REA,1230,4500,0,4500,0,0,0,0,0,0,2,1,5,5,5,23.08,53.08,23,35, ,3,Y,6,5,71996,241339,0,0,1920,1983,0, , ,3.66,6.02,6,6.5,1,1004790190,0,41,985609,201994,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,156.637021,1288.12999,169343,0,0,12503,12506,7,1575,38.05444717,38.05444717,0,38.05444717,0,266.3811302 +12505,MN,435,1,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,118 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0, ,"EMGE 5, LLC",1240,5080,1016,4064,0,1016,0,0,0,0,2,1,5,4,6,20,62,20,62,E,3,N,3,5,85509,229824,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.1,4,0,4,1,1004350001,0,32,988286,204130,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,171.0752373,1397.613146,144315,12,0,12504,12507,6,1350,20.24200058,21.26155663,1.019556046,20.41192659,0.379966104,122.4715595 +12506,MN,522,31,102,55.02,2006,2,1,10012,L009,9,15,5700,1,2,2A,58 BLEECKER STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,"GELLIS, SAUNDRA",2952,8509,2951,5558,0,2951,0,0,0,0,2,1,4,2,3,29.08,101.5,29.08,100, ,0,N,3,5,354240,790500,0,0,1900,0,0,NoHo Historic District, ,2.88,0,5,6.5,1,1005220031,0,5502,985608,203740,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,273.6721521,3306.970034,436260,9,0,12505,12508,14,3150,40.00222015,40.72888947,0.726669312,40.6033317,0.177243896,568.4466438 +12507,MN,286,28,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,245 EAST BROADWAY,R7-2, , , , , , , , , ,N,C7,4,0, ,"W & K ENTERPRISE, INC",2013,3759,610,3149,0,0,0,0,0,610,2,1,4,8,9,23,87.5,24,64, ,3,N,5,2,71142,197026,0,0,1910,0,0, , ,1.87,3.44,0,6.5,1,1002860028,0,201,988128,199471,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,226.2715402,2052.906282,125884,13,0,12506,12509,8,1800,30.16900063,34.59111023,4.422109604,31.54645848,1.875049089,252.3716679 +12508,MN,753,5,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,340 9 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,CHELSEA REALTY GROUP,1377,3890,760,3130,0,760,0,0,0,0,2,1,4,3,4,19.67,70,20,38,E,2,N,5,5,199101,418259,0,0,1910,2005,0, , ,2.82,6.02,6,6.5,1,1007530005,0,97,984770,212678,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,194.272588,1615.290743,219158,6,0,12507,12510,8,1800,28.20800018,33.17333221,4.965332031,29.28536129,1.894641919,234.2828903 +12509,MN,551,14,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,25 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,C2,2,0, ,RETURN TO HOME LLC,3582,7031,0,7031,0,0,0,0,0,0,2,2,3.5,6,6,25.75,129.33,26,80, ,3,N,5,5,201976,757208,0,0,1900,1987,0,Greenwich Village Historic District, ,1.96,2.43,0,4.8,1,1005510014,0,63,984781,206058,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,321.58111,3654.080519,555232,8,0,12508,12511,17,3825,21.12199974,24.19333267,3.071332932,21.34363376,0.720873284,362.841774 +12510,MN,394,7503,103,28,2001,1,2,10009,L011,9,14,6300,4,3, ,625 EAST 11 STREET,R8B, , , , , , , , , ,N,R2,2,0, , ,6453,11495,0,11495,0,0,0,0,0,0,2,1,4,12,12,62.5,103.25,62,90, ,0,N,0,5,193498,1285650,11800,339439,2001,0,0, , ,1.78,4,0,4,1,1003947503,1124,28,990332,204187,12c, ,102 030,10203, ,1003940055,4/15/2000,1, ,1,17V1.1,7,337.5246783,6614.244441,1092150,12,1,12509,12512,28,6300,6.934999943,9.784444809,2.849444866,7.91373011,1.155527598,221.5844431 +12511,MN,283,37,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,135 EAST BROADWAY,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"135 E.B. PROPERTY, IN",1875,7750,1700,6050,0,1700,0,0,0,0,2,1,5,8,10,25,75,25,60, ,3,N,5,2,182646,462688,0,0,1920,1985,0, , ,4.13,3.44,0,6.5,1,1002830037,0,6,986573,199307,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,199.022699,1840.728412,280042,16,0,12510,12513,8,1800,31.39800072,31.39800072,0,31.39800072,0,251.1840057 +12512,MN,691,50,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,532 WEST 20 STREET,C6-2, , , , , ,WCH, , , ,N,K1,5,0, ,DDG 532 WEST 20TH STR,4600,4600,4600,0,0,4600,0,0,0,0,2,1,1,0,1,50,92,50,92, ,3,N,5,0,585000,1763100,0,0,1900,1941,0, , ,1,6.02,6,6.5,1,1006910050,0,99,982263,211160,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,287.2807692,4660.682857,1178100,7,1,12511,12514,21,4725,6.974444389,7.327777863,0.353333473,6.991269793,0.075245492,146.8166656 +12513,MN,879,59,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,30 LEXINGTON AVENUE,C6-4A, , , , , , , , , ,N,S9,4,0, ,30 LEXINGTON AVENUE,1000,5000,2000,3000,1000,1000,0,0,0,0,2,1,5,2,4,20,50,20,50, ,3,N,5,5,51372,409083,0,0,1910,0,0, , ,5,10,10,10,1,1008790059,0,68,988500,208866,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,149.4595123,1122.131746,357711,11,0,12512,12515,5,1125,28.24111176,28.24111176,0,28.24111176,0,141.2055588 +12514,MN,905,45,106,66,5000,2,2,10010,E016,13,14,5800,1,6,1B,226 EAST 25 STREET,R8B, , , , , , , , , ,N,D5,3,0,P,"PHOENIX PROPERTIES,",3950,16841,0,16841,0,0,0,0,0,0,2,1,6,24,24,40,98.75,40,87, ,3,N,5,2,630000,2619900,0,0,1910,1985,0, , ,4.26,4,0,4,1,1009050045,0,66,989474,208668,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,277.9542754,3917.514927,1989900,11,0,12513,12516,18,4050,26.78800011,31.6455555,4.857555389,27.06374084,1.111516486,487.1473351 +12515,MN,477,73,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,60 WATTS STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0,P,BROOME PROPERTY OWNER,1704,27705,2216,25489,0,2216,0,0,0,0,2,1,25,10,11,21.17,80.5,0,0, ,0,N,5,5,670050,1168650,0,0,0,0,0, , ,16.26,0,10,10,1,1004770073,0,37,982722,203014,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,199.0550482,1678.623039,498600,0,0,12514,12517,9,2025,12.40699959,13.97999954,1.572999954,13.0114194,0.57815754,117.1027746 +12516,MN,444,45,103,36.02,1000,1,2,10003,E028,9,14,6500,1,3,3B,80 EAST 2 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,"SUKKAR, NORMAN",1064,5400,0,5400,0,0,0,0,0,0,2,1,5,5,5,50.08,21.25,50,18, ,0,N,5,1,8704,83368,0,0,1900,2010,0,East Village/Lower East Side Historic Di, ,5.08,4,0,4,1,1004440045,0,3602,987422,203157,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,145.9049749,1157.97545,74664,1,0,12515,12518,6,1350,30.95777702,34.29999924,3.342222214,31.75629552,1.2545874,190.5377731 +12517,MN,924,60,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,310 EAST 19 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"SUPREME COMPANY I,",3834,17790,0,17790,0,0,0,0,0,0,2,1,6,26,26,41.67,92,41.67,82, ,3,Y,5,2,315000,2656350,0,0,1920,0,0, , ,4.64,3,0,3,1,1009240060,0,48,989158,207066,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,272.4392088,3931.705329,2341350,5,0,12516,12519,16,3600,14.83555603,19.91222191,5.076665878,15.4855628,1.353525133,247.7690048 +12518,MN,738,67,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,350 WEST 15 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,NICOLAS ALBERT,1528,3100,0,3100,0,0,0,0,0,0,2,1,4,4,4,18.75,81.5,19,38, ,3,N,5,5,152819,257049,0,0,1900,1969,0, , ,2.03,4,0,4,1,1007380067,0,83,983139,209265,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,212.5487122,1702.889114,104230,7,0,12517,12520,7,1575,16.15333366,18.3955555,2.242221832,17.0341271,1.021322475,119.2388897 +12519,MN,376,21,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,258 EAST 7 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,KURTZ-GREGG KATHY S,2059,3578,0,3578,0,0,0,0,0,0,2,1,3,4,4,22.67,90.83,22.67,42,E,0,N,5,5,8192,51105,0,0,1900,0,0, , ,1.74,4,0,4,1,1003760021,0,2602,990409,202827,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,228.9974096,1997.627739,42913,12,1,12518,12521,8,1800,7.864444256,11.48777771,3.623333454,9.087166607,1.587451201,72.69733286 +12520,MN,475,7504,102,47,2010,2,1,10013,E055,1,15,6800,1,2, ,51 GREENE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,2867,13687,3635,10052,0,3635,0,0,0,0,2,1,6,5,6,28.67,100,28.67,88, ,0,N,0,5,141056,1646296,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.77,0,5,6.5,1,1004757504,928,47,983718,202443,12a, ,100 000,10206, ,1004750049,3/21/1996,1, ,1,17V1.1,7,267.0904511,3088.955425,1505240,0,1,12519,12522,14,3150,9.686666489,9.686666489,0,9.686666489,0,135.6133308 +12521,MN,584,128,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,34 COMMERCE STREET,R6, , , , , , , , , ,N,A3,1,0, ,NEWMAN SCOTT,916,1496,0,1496,0,0,0,0,0,0,2,1,2,1,1,24,38.17,20,34, ,2,N,5,2,29680,129254,1550,1550,1901,0,0,Greenwich Village Historic District, ,1.63,2.43,0,4.8,1,1005840128,0,67,982819,205739,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,131.1222771,1012.752361,99574,9,0,12520,12523,5,1125,16.16111183,16.16111183,0,16.16111183,0,80.80555916 +12522,MN,830,1,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,816 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,NIK-LIS REALTY CORP,988,4690,4690,0,2260,2430,0,0,0,0,2,1,4,0,5,24.67,40,24,38, ,3,N,3,2,238500,693000,0,0,1915,1984,0, , ,4.75,10,10,10,1,1008300001,0,76,986957,211083,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,138.3601326,1113.838435,454500,2,0,12521,12524,5,1125,44.93099976,44.93099976,0,44.93099976,0,224.6549988 +12523,MN,141,7501,101,39,4010,2,1,10013,E007,1,15,7700,3,1, ,168 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0,P,168 DUANE ST. CONDO.,3820,19196,5838,13358,0,5838,0,0,0,0,2,1,5,8,10,30.5,127.5,30,0, ,0,Y,5,5,194281,1292483,2360,2360,1880,0,0,Tribeca West Historic District, ,5.03,6.02,6,6.5,1,1001417501,559,39,981598,200436,12a, ,101S016,10104, ,1001410030,10/7/1988,1, , ,17V1.1,7,323.8883174,4158.220725,1098200,14,0,12522,12525,19,4275,16.28222275,18.04555511,1.763332367,16.84098786,0.306742965,319.9787693 +12524,MN,210,21,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3A,296 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,415 ASSOCIATES LLC,5805,20415,20415,0,5805,11610,0,3000,0,0,2,1,3,0,2,127.67,36.5,127,56, ,2,Y,3,1,652950,5276250,0,0,1927,1999,2014,Tribeca East Historic District, ,3.52,6.02,6,6.5,1,1002100021,0,33,983607,201382,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,352.9148909,6247.009826,4623300,0,0,12523,12526,30,6750,12.29222202,12.47444439,0.182222366,12.33844423,0.028766837,370.153327 +12525,MN,754,12,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,353 WEST 30 STREET,R8B, , , , , , , , , 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,3,N,5,0,336150,1021500,0,0,1910,2007,2007,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1006420070,0,79,982168,208268,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,278.7841024,4310.026091,685350,8,1,12528,12531,21,4725,10.79777813,10.79777813,0,10.79777813,0,226.7533407 +12530,MN,861,47,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,44 EAST 32 STREET,C5-2,C6-4A, , , , , , , , ,Y,O6,5,0, ,BASSETT PROPERTIES,7340,83623,83623,0,73623,10000,0,0,0,0,2,1,12,0,13,66.33,110.17,66,102,E,3,Y,5,2,1841400,3728700,0,0,1916,2013,0, , ,11.39,10,10,10,1,1008610047,0,74,988974,211001,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,388.5766362,7585.46315,1887300,10,0,12529,12532,34,7650,37.62444687,42.33333588,4.708889008,37.96405792,1.1379911,1290.777969 +12531,MN,172,7503,101,31,1007,2,1,10013,L001,5,15,7700,3,1, ,77 WHITE STREET,C6-4A, , , , , , , , , ,N,R1,2,0, ,BLAKE RYAN REALTY LLC,2504,12586,0,12586,0,0,0,0,0,0,2,1,6,6,6,25,100.17,25,100, ,0,N,0,5,257545,984971,0,0,1915,0,0,Tribeca East Historic District, ,5.03,10,10,10,1,1001727503,1473,31,983555,200687,12a, ,11S 034,10105, ,1001720010,10/18/2005,1, , ,17V1.1,7,262.2534326,2772.558074,727426,14,0,12530,12533,12,2700,13.85000038,21.16888809,7.318887711,15.3225557,2.613293242,183.8706684 +12532,MN,805,6,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,165 WEST 29 STREET,M1-6, , , , , , , , , ,N,L9,6,0, ,"GARFINKEL, PEARL",2271,5777,4177,1600,1900,2277,0,0,0,0,2,1,3,1,3,23,98.75,23,99, ,3,N,5,2,387000,548100,0,0,1920,0,0, , ,2.54,0,10,10,1,1008050006,0,95,986392,211731,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,246.0146976,2269.783973,161100,6,0,12531,12534,11,2475,34.63499832,34.63499832,0,34.63499832,0,380.9849815 +12533,MN,978,1,106,60,1003,2,4,10010,E005,13,14,6000,1,6,1B,342 1 AVENUE,R7-2,C1-7, , , , , , , , ,Y,D6,4,0,P,BPP PCV OWNER LLC,828650,3122165,19609,3102556,3419,16190,0,0,0,0,2,23,15,2491,2498,650,547.42,71.5,182.42, ,0,Y,5,5,32941350,185625000,0,0,1947,0,0, , ,3.77,3.44,0,6.5,1,1009780001,0,60,990629,207012,12c, ,102 050,10310, ,0, ,1,1,1,17V1.1,0,4075.48561,839326.3471,152684000,11,1,12532,12535,3730,839250,6.340000153,15.19888878,8.858888626,10.21054753,1.756578174,38085.3423 +12534,MN,271,50,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,168 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0,P,168 HENRY STREET LTD,2608,10345,0,10345,0,0,0,0,0,0,2,1,5,10,10,26.08,100,26,85, ,3,N,5,2,84236,467669,0,0,1920,1975,0, , ,3.97,3.44,0,6.5,1,1002710050,0,6,987298,199134,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,259.0118463,2729.622258,383433,16,0,12533,12536,14,3150,17.59499931,22.81777763,5.22277832,18.64174557,1.724125897,260.9844379 +12535,MN,171,7502,101,31,1009,2,1,10013,L001,5,15,7700,3,1, ,354 BROADWAY,C6-4A, , , , , , , , , ,N,RM,4,0, , ,4550,43369,3949,39420,0,0,0,3949,0,0,2,1,11,12,14,0.1,0,0,0, ,0,N,0,5,425699,4958549,0,0,1900,0,0, , ,9.53,10,10,10,1,1001717502,1074,31,983294,200467,12a, ,101S034,10105, ,1001710003,12/20/1999,1, , 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,17V1.1,0,234.4108888,2271.267391,527850,8,0,12540,12543,9,2025,27.86444473,27.86444473,0,27.86444473,0,250.7800026 +12542,MN,818,35,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,7 WEST 16 STREET,C6-2M, , , , , , , , , ,N,C5,2,0, ,7 WEST 16 REALTY LLC,3066,5625,0,5625,0,0,0,0,0,0,2,1,3.5,7,7,33.33,92,33,63,E,3,N,5,2,124502,461263,0,0,1925,1969,0, ,7 WEST 16TH STREET BUILDING (PART O,1.83,6.02,6,6.5,1,1008180035,0,54,986066,208111,8d,Y,102 033,10306, ,0, ,1, , ,17V1.1,0,259.5484511,3274.163364,336761,7,0,12541,12544,15,3375,31.11599922,35.09555435,3.97955513,31.3813029,0.992675457,470.7195435 +12543,MN,275,22,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,30 MARKET STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,"30 MARKET STREET, LLC",1868,6070,3520,2550,0,3520,0,0,0,0,2,1,3,3,5,22.25,86.67,22,80, ,3,Y,5,2,101250,495900,0,0,1900,0,0, , ,3.25,3.44,0,6.5,1,1002750022,0,8,985868,198950,12d, ,101N054,10107, ,0, ,1, , 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,17V1.1,0,355.0308479,7739.605624,4544550,10,1,12554,12557,35,7875,10.03999996,17.25,7.210000038,12.02434924,2.803422991,420.8522234 +12556,MN,301,12,103,16,3001,2,1,10002,L006,5,14,7400,1,3,1A,91 CANAL STREET,C6-1G, , , , , , , , , ,N,L8,6,0, ,99 CANAL REALTY INC.,1250,5600,5600,0,1120,1250,0,3230,0,0,2,1,0,0,2,25.06,50.23,25.07,50.4, ,3,Y,5,0,72000,505800,0,0,1900,0,0, , ,4.48,3.44,6,6.5,1,1003010012,0,16,986046,199978,12d,Y,101N050,10107, ,1003010001,5/14/2012,1, , ,17V1.1,0,155.8278597,1321.692955,433800,13,0,12555,12558,5,1125,41.60800171,41.60800171,0,41.60800171,0,208.0400085 +12557,MN,864,28,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,47 EAST 34 STREET,C5-2, , , , , , , , , ,N,D8,3,0, ,47 EAST 34TH STREET (,4938,106153,3000,103153,0,3000,0,0,0,0,2,2,36,110,111,50,98.75,50,100, ,1,N,5,2,4905000,17043750,0,6404904,2007,0,0, , ,21.5,10,10,10,1,1008640028,0,74,989204,211690,8d, ,104 029,10306, ,1008640028,2/4/2009,1, , ,17V1.1,0,308.7416757,5238.519661,12138800,10,0,12556,12559,24,5400,55.57666779,60.8769989,5.300331116,59.26788918,1.231405426,1422.42934 +12558,MN,700,9,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,539 WEST 28 STREET,C6-3,C6-4, , , , ,WCH, , , ,Y,D8,3,0, ,EAST SIDE 11TH & 28TH,123437,715058,72510,642548,22560,21158,28792,0,0,0,2,1,31,710,712,575,197.5,197,575, ,3,Y,3,0,20996550,94388850,18349294,91741594,2013,0,0, , ,5.79,7.52,6,10,1,1007000009,0,99,983273,213165,8b, ,105S015,10301,E-142,1007000009,1/7/2013,1, ,1,17V1.1,0,1551.340476,67087.33329,73392304,6,1,12557,12560,299,67275,9.543333054,13.27666664,3.733333588,11.33661275,0.772644092,3389.647213 +12559,MN,493,41,102,43,2001,2,1,10012,L020,5,15,6800,1,2,1G,13 SPRING STREET,C6-2, , , , , ,LI, , , ,N,D7,4,0,P,LIRA APARTMENTS CO LP,36370,184900,9540,175360,0,9540,0,0,0,0,2,3,7,152,156,189.92,218.43,186,208, ,1,Y,3,2,994050,20311200,994050,20311200,1982,1927,0, , ,5.08,6.02,6,6.5,1,1004930041,0,43,985648,202240,12c, ,101N076,10206, ,1004930041,10/25/2012,1, , ,17V1.1,0,781.1598135,37733.23911,19317200,0,0,12558,12561,168,37800,41.76133347,43.66110992,1.899776459,42.22886887,0.236904208,7094.44997 +12560,MN,404,32,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,166 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,UNITED EAST REAL DEVI,1365,5025,600,4425,0,600,0,0,0,0,2,1,5,8,9,19.5,70,20,50, ,3,N,5,2,12688,54210,0,0,1900,0,0, , ,3.68,4,0,4,1,1004040032,0,34,989818,204221,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,183.8014892,1422.987053,41522,12,1,12559,12562,6,1350,12.53199959,12.62666702,0.094667435,12.54777749,0.03528047,75.28666496 +12561,MN,124,11,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,25 PARK PLACE,C6-4, , , , , ,LM, , , ,N,O5,5,0, ,25 PARK PLACE LLC,5341,26705,26705,0,21705,5000,0,0,0,0,2,1,5,0,5,37.96,152.58,38,152, ,3,Y,4,2,271800,3485250,0,0,1890,0,0, ,25 PARK PLACE BUILDING,5,10,10,10,1,1001240011,0,21,981827,199182,12b, ,101S018,10104, ,0, ,1, , 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,17V1.1,0,1034.529242,55391.56287,167776000,17,0,12566,12569,247,55575,17.68777847,24.50666618,6.818887711,20.44987831,0.471407024,5051.119944 +12568,MN,794,9,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,157 WEST 18 STREET,C6-2A, , , , , , , , , ,N,E9,6,0, ,"GB II, LLC",3620,23800,23800,0,0,3400,0,20400,0,0,2,1,7,0,1,40,89.5,40,85, ,0,Y,5,2,531000,1646100,0,0,1906,0,0, , ,6.57,6.02,6,6.5,1,1007940009,0,87,985089,209213,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,271.2059037,3862.160259,1115100,7,0,12567,12570,17,3825,27.66555595,27.66555595,0,27.66555595,0,470.3144512 +12569,MN,450,31,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,141 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,GRAY ROCK EQUITIES LL,2342,6055,1211,4844,0,1211,0,0,0,0,2,1,5,8,9,23.42,100,24,50, ,3,N,5,2,88639,294187,0,0,1900,1986,2005, , ,2.59,4,0,4,1,1004500031,0,38,988313,204548,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.5752503,2403.759518,205548,12,0,12568,12571,12,2700,25.4810009,25.4810009,0,25.4810009,0,305.7720108 +12570,MN,821,33,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,9 WEST 19 STREET,C6-4A, , , , , , , , , ,N,O5,5,0, ,9 W 19 CORP.,2300,9869,6062,3807,3881,2181,0,0,0,0,2,1,5,3,5,25,92,25,90,E,3,N,5,2,202500,891900,0,0,1900,2010,0,Ladies' Mile Historic District, ,4.29,10,10,10,1,1008210033,0,54,986450,208735,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,241.9217427,2371.062111,689400,7,0,12569,12572,10,2250,32.91555405,32.91555405,0,32.91555405,0,329.1555405 +12571,MN,589,46,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,11 CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,NOCETTI REALTY COMPAN,2500,10016,2650,7366,0,1350,0,0,0,1300,2,1,5,13,14,25,100,25,88, ,3,N,5,2,235350,1971900,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.01,3.44,0,6.5,1,1005890046,0,67,983611,205462,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,260.2112996,2753.213443,1736550,9,0,12570,12573,12,2700,15.87222195,15.87222195,0,15.87222195,0,190.4666634 +12572,MN,913,7,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,209 EAST 32 STREET,R8B, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,43203,51210,51210,0,0,51210,0,0,0,0,2,1,5,0,1,218.75,197.5,218.75,88,E,3,Y,4,2,3514500,6071850,3514500,6071850,1925,1965,0, , ,1.19,4,0,4,1,1009130007,0,70,990372,210523,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,841.5160585,32846.39481,2557350,10,0,12571,12574,145,32625,19.78333282,27.18666649,7.403333664,23.06552461,3.315983938,3344.501068 +12573,MN,11,1,101,9,1003,2,1,10004,L015,1,15,7700,1,1,1A,2 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,2 BROADWAY GROUND LEA,72130,1529480,1529480,0,1454568,45000,29912,0,0,0,2,1,32,0,30,307.48,210.83,287,403, ,1,Y,4,2,28170000,170391150,28170000,170391150,1958,1999,1999, , ,21.2,10,15,15,1,1000110001,0,9,980691,195953,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,1474.909486,78591.04408,142220992,17,1,12572,12575,347,78075,8.511111259,16.35888863,7.847777367,11.06976418,0.97050852,3841.208172 +12574,MN,927,26,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,363 1 AVENUE,C1-6A, , , , , , , , , ,N,S5,4,0, ,YIP WATSON C,1950,4839,1210,3629,0,1210,0,0,0,0,2,1,4,5,6,25,78,25,44, ,3,N,5,5,132884,415886,0,0,1910,2009,0, , ,2.48,4,2,4,1,1009270026,0,64,989892,207379,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,214.4223736,2140.712563,283002,5,0,12573,12576,9,2025,12.9244442,12.9244442,0,12.9244442,0,116.3199978 +12575,MN,766,59,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,226 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,CLOVER COURT REALTY L,2300,9545,0,9545,0,0,0,0,0,0,2,1,5,20,20,25,92,25,80, ,3,N,5,2,118350,862650,0,0,1930,0,0, , ,4.15,6.02,6,6.5,1,1007660059,0,81,984361,209165,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,241.1740602,2315.511306,744300,7,0,12574,12577,10,2250,21.88888931,26.42000008,4.531110764,22.72853355,1.44886526,227.2853355 +12576,MN,471,23,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1A,182 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,D0,3,0, ,VIA MAGNA CORP,4375,22560,3760,18800,0,3760,0,0,0,0,2,1,6,9,10,51.33,100.25,47,80,E,3,Y,5,2,618315,1704853,22125,22125,1920,2005,2015, , ,5.16,6.02,6,6.5,1,1004710023,0,41,984952,201455,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,309.6759247,5111.997407,1086540,0,0,12575,12578,23,5175,24.86333275,24.86333275,0,24.86333275,0,571.8566532 +12577,MN,878,4,105,68,2001,2,2,10010,E014,13,14,5300,1,5,1B,295 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,D6,4,0, ,"ABINGTON HOLDING, LLC",15577,145299,9000,136299,0,9000,0,0,0,0,2,1,16,178,187,138.75,125,139,125, ,0,Y,5,5,4266000,28327500,0,0,1900,1981,0, , ,9.33,10,10,10,1,1008780004,0,68,988067,208810,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,547.720103,16924.28336,24061500,11,0,12576,12579,74,16650,26.03777695,33.21777725,7.180000305,30.09775935,3.120335322,2227.234192 +12578,MN,800,65,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,150 WEST 25 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,DEZER PROPERTIES 146,5497,66528,66528,0,60984,5544,0,0,0,0,2,1,12,0,8,55.67,98.75,56,99, ,0,N,5,5,1368000,5743350,0,0,1911,1983,0, , ,12.1,0,10,10,1,1008000065,0,91,985946,210623,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,315.3164298,5694.607645,4375350,2,0,12577,12580,26,5850,33.84199905,38.10222244,4.260223389,34.27995638,1.228932063,891.2788658 +12579,MN,448,17,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,66 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,66 EAST 7TH STREET LL,2201,10230,2000,8230,0,2000,0,0,0,0,2,1,6,22,24,25,90.83,25,76, ,3,N,5,2,247950,809550,0,0,1910,0,0,East Village/Lower East Side Historic Di, ,4.65,4,0,4,1,1004480017,0,38,987845,204249,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.0730026,2398.323966,561600,12,0,12578,12581,10,2250,27.1590004,30.04888916,2.889888763,27.58842258,0.920846046,275.8842258 +12580,MN,898,49,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,212 EAST 18 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"COOPER, WILLIAM C C/",2300,5950,0,5950,0,0,0,0,0,0,2,1,3,9,9,25,92,25,64, ,3,N,5,0,101462,475540,0,0,1900,1950,0,Stuyvesant Square Historic District, ,2.59,3,0,3,1,1008980049,0,48,988476,207166,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,240.9536757,2391.641326,374078,5,0,12579,12582,11,2475,22.7840004,27.79000092,5.006000519,24.73436373,2.279595608,272.078001 +12581,MN,622,70,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,87 PERRY STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"VALLETTA (TRUSTEE), A",723,2576,1288,1288,0,644,0,0,0,644,2,1,3,2,3,21.92,33.92,21.92,33.92, ,3,Y,3,5,53211,127520,0,0,1899,0,0,Greenwich Village Historic District, ,3.56,3.44,2,6.5,1,1006220070,0,73,982914,207211,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,129.1070772,916.1749955,74309,8,0,12580,12583,3,675,24.5988884,24.5988884,0,24.5988884,0,73.79666519 +12582,MN,286,30,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,241 EAST BROADWAY,R7-2, , , , , , , , , ,N,S9,4,0, ,CONGREGATION ZEMOCH Z,2071,3630,1000,2630,0,1000,0,0,0,0,2,1,3,3,5,23.67,87.5,24,57,E,3,N,5,5,131476,192142,26469,46152,1900,0,0, , ,1.75,3.44,0,6.5,1,1002860030,0,201,988082,199466,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,228.1924347,2139.717257,60666,13,0,12581,12584,9,2025,30.16900063,32.16444397,1.995443344,30.5961486,0.74887531,275.3653374 +12583,MN,780,74,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,414 8 AVENUE,C6-3X, , , , , , , , , ,N,K1,5,0, ,"414 ENTERPRISES, INC.",1980,2008,2008,0,0,2008,0,0,0,0,2,1,1,0,1,24.25,100,24.25,100, ,0,Y,5,2,405000,654750,0,0,1920,2016,0, , ,1.01,9,6,9,1,1007800074,0,101,985729,212527,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,245.358148,2104.048224,249750,6,0,12582,12585,9,2025,31.09600067,31.09600067,0,31.09600067,0,279.864006 +12584,MN,283,45,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,13 PIKE STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0,P,13-15 PIKE STREET COR,4590,16356,8476,7880,1316,3775,0,0,0,3385,2,1,4,13,15,54,85,50,70, ,0,N,5,5,297000,1060200,0,0,1900,0,0, ,PIKE STREET SYNAGOGUE (CONGREGATION,3.56,3.44,0,6.5,1,1002830045,0,6,986422,199250,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,278.8644081,4538.646325,763200,16,0,12583,12586,20,4500,32.40222168,32.40222168,0,32.40222168,0,648.0444336 +12585,MN,220,7505,101,33,3003,2,1,10013,L008,1,15,7700,3,1, ,32 LAIGHT STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2700,14357,2910,11447,0,2910,0,0,0,0,2,1,6,5,6,30.83,87.58,31,88, ,0,N,0,5,54403,714453,2360,2360,1920,0,0,Tribeca North Historic District, ,5.32,6.02,6,6.5,1,1002207505,1584,33,982240,202354,12a, ,11N 042,10105, ,1002200042,10/25/2006,1, , ,17V1.1,7,247.7957019,2982.140644,660050,0,1,12584,12587,13,2925,11.22399998,11.22399998,0,11.22399998,0,145.9119997 +12586,MN,408,10,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,88 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,"SANG,LIMCHI",1369,6600,1800,4800,0,1800,0,0,0,0,2,1,5,8,10,22.83,60,23,59, ,3,N,3,2,125876,292900,0,0,1900,0,0, , ,4.82,4,4,4,1,1004080010,0,18,986994,200855,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,174.3520029,1526.823415,167024,13,0,12585,12588,6,1350,36.36111069,38.66333389,2.302223206,37.21981494,0.908704777,223.3188896 +12587,MN,526,20,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,196 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,W3,8,0,P,LITTLE RED SCHOOL HOU,4900,15926,15926,0,0,0,0,0,0,15926,2,1,4,0,1,50,98,50,90, ,3,N,5,2,697500,1906200,697500,1906200,1919,1985,0,South Village Historic District, ,3.25,3.44,0,6.5,1,1005260020,0,65,983752,204950,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,304.1440176,5087.88128,1208700,9,0,12586,12589,22,4950,20.00333405,21.64111137,1.637777328,20.07777847,0.341147208,441.7111263 +12588,MN,579,68,102,37,3003,2,3,10013,E024,1,15,6800,1,2,1B,143 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,K4,4,0,P,CORP OF TRINITY CHURC,12359,34457,34457,0,12527,21930,0,0,0,0,2,1,2,0,4,142.33,86.83,142,75, ,2,N,3,2,783000,3802500,0,0,1910,1983,2008, , ,2.79,0,10,10,1,1005790068,0,37,982576,203845,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,471.9851566,13193.67431,3019500,0,0,12587,12590,58,13050,17.60700035,21.61111069,4.004110336,19.03433211,0.714095397,1103.991262 +12589,MN,802,45,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,793 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,C7,4,0,P,MARKLENA REALTY LLC,1603,7830,1625,6205,0,1625,0,0,0,0,2,1,5,8,9,24.67,65,25,65, ,1,N,3,2,215284,922409,0,0,1905,0,0, , ,4.88,10,10,10,1,1008020045,0,95,986662,210858,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,191.0380421,1856.316379,707125,2,0,12588,12591,8,1800,40.34000015,42.42777634,2.087776184,40.95916653,0.823527509,327.6733322 +12590,MN,738,24,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,319 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C6,2,0, ,"PARKIN, ROBERT P",2581,9034,1781,7253,1781,0,0,0,0,0,2,1,4,6,7,25,103.25,25,88,E,3,N,5,1,55672,367393,2360,2360,1910,1986,0, , ,3.5,6.02,6,6.5,1,1007380024,0,83,983303,209038,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,269.2936318,2627.647531,311721,7,0,12589,12592,13,2925,16.15333366,19.5098896,3.356555939,16.81606014,1.107609552,218.6087818 +12591,MN,912,17,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,229 EAST 31 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,MERIT REALTY LLC,1975,4092,0,4092,0,0,0,0,0,0,2,1,4,5,5,20,98.75,20,50,E,0,N,5,5,179413,300969,0,0,1900,0,0, , ,2.07,3,0,3,1,1009120017,0,70,990289,210162,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,239.2098429,1887.976108,121556,10,0,12590,12593,9,2025,26.45000076,29.86555481,3.415554047,27.29012383,1.314391671,245.6111145 +12592,MN,795,66,104,87,1002,2,3,10011,L012,13,15,5600,1,4,1A,140 WEST 20 STREET,C6-3A, , , , , , , , , ,N,Y6,7,0,C,PARKS AND RECREATION,10029,6530,6530,0,0,0,0,0,0,6530,2,1,2,0,0,110.33,92,40,92, ,0,Y,5,2,1516500,2090700,1516500,2090700,1950,0,0, , ,0.65,7.52,6,7.5,1,1007950066,0,87,985342,209459,8d, ,103 030,10305, ,0, ,1, , ,17V1.1,0,407.752461,10342.87847,574200,7,0,12591,12594,46,10350,27.66555595,32.55222321,4.886667252,29.9140098,1.889861693,1376.044451 +12593,MN,492,7501,102,43,2000,2,1,10012,L020,5,15,6800,1,2, ,14 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, ,OWNER / AGENT,10360,44612,6340,37456,0,6340,0,0,0,0,2,1,6,44,48,121.25,96,0,0, ,0,Y,5,5,674998,5111553,31090,31090,1915,1984,0, , ,4.31,6.02,6,6.5,1,1004927501,174,43,985910,202474,12c, ,101N076,10206, ,1004920014,1/7/1985,1, , ,17V1.1,7,424.1602582,11044.40284,4436560,0,0,12592,12595,49,11025,39.76666641,46.56000137,6.793334961,44.69798154,0.886655706,2190.201096 +12594,MN,914,25,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,251 EAST 33 STREET,C1-8A, , , , , ,TA, , , ,N,O2,5,0,P,33RD STREET ASSOCIATE,2469,11905,11905,0,11905,0,0,0,0,0,2,1,5,0,4,25,98.75,25,98, ,3,N,5,2,450000,1141650,0,0,1920,1988,0, , ,4.82,7.52,2,7.5,1,1009140025,0,70,990715,210513,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,256.0132899,2613.885426,691650,10,0,12593,12596,12,2700,17.92555618,17.92555618,0,17.92555618,0,215.1066742 +12595,MN,743,59,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,324 WEST 20 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,CAROL OTT J,1495,1652,0,1652,0,0,0,0,0,0,2,1,3,1,1,16.25,92,16,49, ,3,N,5,2,33196,147558,1550,1550,1900,1998,0,Chelsea Historic District, ,1.11,3,0,3,1,1007430059,0,89,983927,210242,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,222.0184533,1540.520841,114362,7,0,12594,12597,7,1575,15.57888889,17.75,2.171111107,16.34492057,0.919735278,114.414444 +12596,MN,199,1,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,79 BAXTER STREET,C6-1, , , , , , , , , ,N,S5,4,0,P,79 BAXTER LLC,2500,9835,2000,7835,0,2000,0,0,0,0,2,2,5,6,7,25,100,25,50, ,0,N,5,5,48739,238743,0,0,1890,0,0, , ,3.93,3.44,6,6.5,1,1001990001,0,29,984336,200303,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,257.4807939,2526.979795,190004,14,0,12595,12598,13,2925,20.98399925,22.37599945,1.392000198,22.26892251,0.370925395,289.4959927 +12597,MN,475,53,102,47,2010,2,1,10013,E055,1,15,6800,1,2,1A,41 GREENE STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,41 GREENE OWNERS CORP,4169,24922,8952,15970,1500,3835,0,0,0,3617,2,1,6,5,8,41.69,100,41.69,92, ,3,N,5,2,642554,2269150,0,0,1910,2016,2003,SoHo-Cast Iron Historic District, ,5.98,0,5,6.5,1,1004750053,0,47,983659,202352,12a, ,101N070,10206, ,1004750053,9/30/1988,1, ,1,17V1.1,0,291.0509009,4331.937713,1626600,0,1,12596,12599,20,4500,9.686666489,14.91133308,5.224666595,9.947899818,1.138689685,198.9579964 +12598,MN,881,61,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,77 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S9,4,0,P,104 ACQUISITION LLC,1531,6124,1530,4594,0,1530,0,0,0,0,2,1,4,5,7,24.67,62,25,62, ,3,Y,3,2,210000,815742,0,0,1910,1983,0, , ,4,6.02,6,6.5,1,1008810061,0,68,988898,209324,8d, ,104 006,10307, ,0, ,1, , 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,17V1.1,0,354.6572226,4312.634688,1719900,10,0,12599,12602,20,4500,41.02666855,42.8651123,1.838443756,41.35870171,0.666595439,827.1740341 +12601,MN,354,14,103,30.01,4002,1,1,10002,L018,7,14,6600,1,3,2A,125 STANTON STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,BORISMIN REALTY CORP,1875,7826,1000,6826,0,1000,0,0,0,0,2,1,5,11,12,25,75,25,58, ,3,N,5,2,193500,986850,0,0,1910,1985,0, , ,4.17,4,4,4,1,1003540014,0,3001,987911,201865,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,202.0039639,1900.034121,793350,1,0,12600,12603,8,1800,28.01666641,29.58333397,1.566667557,28.53799987,0.685214597,228.3039989 +12602,MN,769,22,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,227 WEST 19 STREET,C6-2A, , , , , , , , , ,N,O2,5,0, ,JANELL HOLDING CORP,3606,6750,6750,0,4750,0,2000,0,0,0,2,1,2,0,1,37.5,96.17,37.5,90, ,3,N,5,0,282150,753750,0,0,1963,1987,0, , ,1.87,6.02,6,6.5,1,1007690022,0,87,984665,209729,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,267.2640032,3489.664717,471600,7,0,12601,12604,15,3375,21.88888931,23.71822166,1.829332352,22.0108448,0.45631566,330.162672 +12603,MN,825,7,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1O,69 WEST 23 STREET,M1-6, , , , , , , , , ,N,K4,4,0, ,MASONIC HL&ASYLUM FND,2271,8191,8191,0,0,3385,0,4806,0,0,2,1,5,0,1,23,98.75,23,99,E,3,N,5,2,391500,972900,0,0,1930,1987,0,Ladies' Mile Historic District, ,3.61,0,10,10,1,1008250007,0,58,986466,209921,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,261.5618074,2605.208481,581400,2,0,12602,12605,11,2475,35.97100067,35.97100067,0,35.97100067,0,395.6810074 +12604,MN,162,41,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,6 CHATHAM SQUARE,C6-1G,C6-1, , , , ,TA, , , ,Y,K4,4,0,P,H W C C REALTY CORP,3190,14500,5450,9050,2725,2725,0,0,0,0,2,1,4,4,7,24.08,135.83,24,110, ,3,Y,5,2,263250,1167300,0,0,1913,0,0, , ,4.55,3.44,6,6.5,1,1001620041,0,29,984712,199407,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,329.948797,3470.888833,904050,16,0,12603,12606,16,3600,30.90500069,30.90500069,0,30.90500069,0,494.480011 +12605,MN,521,7504,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2, ,2 BLEECKER STREET,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,1795,9017,3431,5586,0,3431,0,0,0,0,2,1,4,3,4,40.33,48.57,40,42, ,0,N,0,5,209976,1083840,0,0,1910,0,0,Noho East Historic District, ,5.02,3.44,6,6.5,1,1005217504,2150,5502,986319,203481,12c, ,103 010,10206, ,1005210074,9/16/2010,1, , ,17V1.1,7,182.5012834,2077.087292,873864,9,0,12604,12607,8,1800,43.41222,44.21888733,0.806667328,43.51305342,0.266780143,348.1044273 +12606,MN,76,24,101,15.02,2000,2,1,10038,E006,1,15,7700,1,1,1B,40 GOLD STREET,C6-4, , , , , ,LM, , , ,N,D6,4,0, ,ZAHAV PROPERTIES LLC,4575,53445,5010,48435,0,5010,0,0,0,0,2,3,14,56,58,78.38,63.42,82,55, ,3,Y,4,2,1889100,7285950,0,3821388,2009,2009,0, , ,11.68,10,10,10,1,1000760024,0,1502,982658,197484,12b, ,101S012,10102, ,1000760024,10/5/2011,1, , ,17V1.1,0,287.9238218,5110.217785,5396850,4,0,12605,12608,21,4725,24.15333366,29.78000069,5.626667023,25.6785084,1.96576917,539.2486763 +12607,MN,862,7504,105,74,1003,2,4,10016,L024,14,15,5200,1,5, ,160 MADISON AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,21654,258480,28259,230221,0,28259,0,0,0,0,2,1,42,318,319,148,145,124,97, ,0,N,0,5,8770050,34587000,907646,22548267,2013,0,0, , ,11.94,10,10,10,1,1008627504,2437,74,988690,211426,8d, ,104 018,10306, ,1008620020,12/18/2013,1, , ,17V1.1,7,699.9835564,22047.09637,25817000,10,0,12606,12609,100,22500,39.86111069,46.61999893,6.758888245,41.34211075,2.249022593,4134.211075 +12608,MN,927,24,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,341 EAST 21 STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,AARON DEBRA M,1095,3234,0,3234,0,0,0,0,0,0,2,1,3,1,1,22,49.75,22,49.75, ,3,N,5,2,67592,131880,0,0,1910,0,0, , ,2.95,4,2,4,1,1009270024,0,64,989841,207392,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,149.9510511,1147.824302,64288,5,0,12607,12610,5,1125,12.9244442,12.9244442,0,12.9244442,0,64.62222099 +12609,MN,778,20,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,239 WEST 28 STREET,M1-6D, , , , , , , , , ,N,O6,5,0, ,LEXIN NY 229 LLC,12135,156500,156500,0,137500,12000,0,7000,0,0,2,1,12,0,10,124.17,98.75,124.17,90, ,0,Y,5,2,1350000,14868450,0,0,1917,0,0, , ,12.9,10,10,10,1,1007780020,0,95,985702,211813,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,465.0541198,12652.22638,13518500,2,0,12608,12611,58,13050,28.45999908,28.91444397,0.454444885,28.46893396,0.059590198,1651.19817 +12610,MN,142,7502,101,21,2002,2,1,10007,L010,1,15,7700, ,1, ,200 CHAMBERS STREET,C6-4, , , , , , , , , ,N,RM,4,0, , ,34214,374946,91890,312051,0,16868,28995,2320,0,43707,2,1,29,253,256,190.65,222,190.65,221.4, ,1,Y,0,5,4011580,50480412,293089,11223299,2005,0,0, , ,10.96,10,10,10,1,1001427502,1629,21,980814,200345,12a, ,101S015,10104, ,1001420009,1/8/2007,1,1,1,17V1.1,7,758.9605533,34785.87864,46468800,14,1,12609,12612,155,34875,8.302222252,9.430000305,1.127778053,8.369716158,0.203371242,1297.306005 +12611,MN,169,1,101,31,1008,2,1,10013,L001,5,15,7700,1,1,3B,93 CENTRE STREET,C6-4, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,43289,17600,17600,0,0,0,0,0,0,17600,2,1,1,0,1,220.17,205.58,163.5,113.5, ,0,Y,3,5,6817950,8599500,6817950,8599500,1915,0,0, , ,0.41,10,10,10,1,1001690001,0,31,983745,200254,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,829.2588299,42836.93977,1781550,14,0,12610,12613,190,42750,13.85000038,18.06555557,4.215555191,15.94805851,1.13180942,3030.131118 +12612,MN,717,71,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,454 WEST 20 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,"STARKEY, KEITH",1533,3506,0,3506,0,0,0,0,0,0,2,1,4,4,4,16.67,92,17,56, ,3,N,5,2,70121,298175,0,0,1910,0,0,Chelsea Historic District, ,2.29,3,0,3,1,1007170071,0,89,982855,210835,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,220.6575578,1488.47506,228054,7,1,12611,12614,8,1800,9.621110916,11.11666679,1.495555878,9.808055401,0.494608616,78.46444321 +12613,MN,203,21,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,80 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,O5,5,0, ,80-82 BOWERY LLC,5525,28866,28866,0,19200,4810,0,4856,0,0,2,1,6,0,14,49.58,111.17,50,105,E,3,Y,5,2,392850,3670650,0,0,1920,1958,2000, , ,5.22,3.44,6,6.5,1,1002030021,0,41,985358,200508,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,330.1347408,5754.006383,3277800,0,0,12612,12615,24,5400,40.21222305,40.21222305,0,40.21222305,0,965.0933533 +12614,MN,474,33,102,47,2012,2,1,10013,E055,1,15,6800,1,2,1A,479 BROADWAY,M1-5B, , , , , , , , , ,N,K4,4,0,P,"477 REALTY, LLC",10525,63150,63150,0,0,31575,0,21050,0,10525,2,1,5,0,5,52.67,200,53,200, ,3,N,4,2,2367000,7821000,0,0,1880,1986,2005,SoHo-Cast Iron Historic District, ,6,0,5,6.5,1,1004740033,0,47,984082,202179,12c, ,101N070,10206, ,0, ,1, , 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,17V1.1,7,327.6108187,5949.20176,5738840,10,0,12615,12618,26,5850,33.23199844,38.80222321,5.570224762,34.07158001,1.819625025,885.8610802 +12617,MN,277,53,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,33 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,33-35 CATHERINE STREE,2908,13603,2260,11343,0,2260,0,0,0,0,2,1,6,16,18,27.33,108.5,27,98, ,3,Y,5,2,198000,868050,0,0,1910,0,0, , ,4.68,3.44,0,6.5,1,1002770053,0,8,985151,198833,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,278.4455557,3159.140345,670050,16,0,12616,12619,14,3150,21.55400085,23.10333252,1.549331665,21.6646674,0.399013912,303.3053436 +12618,MN,572,45,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,3 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,HB,5,0, ,VILLAGE HOTEL LLC,5306,43600,5200,0,0,5200,0,0,0,0,2,1,8,7,10,56.5,93.92,56,80, ,3,N,5,2,1485000,11320200,0,0,1903,0,0,Greenwich Village Historic District, ,8.22,3.44,3.4,6.5,1,1005720045,0,63,985141,206209,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,308.3122185,5526.868362,9835200,8,0,12617,12620,25,5625,18.70499992,24.4711113,5.766111374,18.95084,1.12927275,473.7709999 +12619,MN,771,63,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,246 WEST 22 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JORUT REALTY TRANSACT,2469,11130,0,11130,0,0,0,0,0,0,2,1,6,24,24,25,98.75,25,85, ,2,N,5,2,144900,1517850,0,0,1920,1982,0, , ,4.51,4,0,4,1,1007710063,0,87,984835,210308,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.8583764,2587.91429,1372950,7,0,12618,12621,11,2475,21.99111176,22.72999954,0.738887787,22.60359556,0.230110694,248.6395512 +12620,MN,778,72,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,376 8 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,376 8TH AVENUE CURINO,1295,3870,1295,2575,0,1295,0,0,0,0,2,1,4,3,4,19.92,65,19.92,65, ,3,N,5,5,136102,415028,0,0,1920,0,0, , ,2.99,6.02,6,6.5,1,1007780072,0,95,985470,212089,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,172.4208624,1378.662355,278926,6,0,12619,12622,7,1575,26.68777847,26.68777847,0,26.68777847,0,186.8144493 +12621,MN,335,1,103,22.01,4000,1,2,10002,L018,7,14,7600,1,3,2A,116 COLUMBIA STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,80040,217300,217300,0,0,0,0,0,0,217300,2,1,3,0,0,400,200,364,199,E,0,N,3,2,3514500,17061300,3514500,17061300,1958,0,0, , ,2.71,3.44,0,6.5,1,1003350001,0,2201,989909,201379,12c, ,102 006,10201, ,0, ,1, ,1,17V1.1,0,1219.272014,83248.55943,13546800,1,1,12620,12623,370,83250,10.39666653,14.44999981,4.053333282,11.79668008,0.211661626,4364.77163 +12622,MN,480,23,102,41,6000,2,1,10012,E055,5,15,6800,1,2,1G,32 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,32 SPRING GROUP,2455,7579,2125,5454,0,2125,0,0,0,0,2,1,5,8,9,25.25,100.83,25,103, ,3,Y,5,2,56594,251404,0,0,1900,1988,2005, , ,3.09,6.02,6,6.5,1,1004800023,0,41,985431,202143,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,251.6285684,2660.366627,194810,0,0,12621,12624,12,2700,38.9980011,41.19000244,2.192001343,39.18066788,0.605837166,470.1680145 +12623,MN,573,17,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,50 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0,P,"SONENBERG, DAVID",1983,4000,0,4000,0,0,0,0,0,0,2,1,4,1,1,21.5,92.25,21.5,70, ,3,N,5,2,56380,354522,0,0,1899,2008,2008,Greenwich Village Historic District, ,2.02,2.43,0,4.8,1,1005730017,0,63,984867,206750,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,230.585613,2036.160147,298142,8,0,12622,12625,10,2250,18.98099899,18.98099899,0,18.98099899,0,189.8099899 +12624,MN,927,28,106,64,4000,2,2,10010,E005,13,14,5900,1,6,1B,367 1 AVENUE,C1-6A, , , , , , , , , ,N,K4,4,0, ,ABSEA REALTY CORP,2500,5702,5702,0,1100,2200,0,2402,0,0,2,1,3,0,2,25,100,25,46, ,0,N,5,5,270000,518400,0,0,1910,0,0, , ,2.28,4,2,4,1,1009270028,0,64,989908,207429,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,251.8855481,2429.308252,248400,5,0,12623,12626,10,2250,12.9244442,13.01555634,0.091112137,12.93355541,0.027333641,129.3355541 +12625,MN,492,33,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,204 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0,P,204 BOWERY REALTY COR,1667,2720,2720,0,714,1360,0,646,0,0,2,1,2.5,0,4,16.67,100,17,65, ,3,N,5,2,135000,525150,0,0,1940,1977,0, , ,1.63,3.44,6,6.5,1,1004920033,0,43,985927,202158,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,237.1803433,1594.381887,390150,0,0,12624,12627,7,1575,39.76666641,39.76666641,0,39.76666641,0,278.3666649 +12626,MN,516,25,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,480 WEST BROADWAY,M1-5A, , , , , , , , , ,N,S3,4,0,P,BLDG 03 LLC,1832,5806,1832,3974,0,1832,0,0,0,0,2,1,4,3,4,24.42,75,24,75, ,3,N,5,5,59791,362009,0,0,1900,0,0,SoHo-Cast Iron Historic District Extensi, ,3.17,0,5,6.5,1,1005160025,0,49,984158,204077,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,201.5003111,1918.882722,302218,9,0,12625,12628,9,2025,17.67111206,17.67111206,0,17.67111206,0,159.0400085 +12627,MN,460,44,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,85 EAST 4 STREET,R8B, , , , , , , , , ,N,J5,5,0, ,CULTURE HOUSE 85 E 4T,2405,5958,5958,0,0,0,0,0,0,5958,2,1,4,0,5,24.5,96.17,25,90, ,2,Y,5,1,220500,440100,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,2.48,4,0,4,1,1004600044,0,38,987076,203992,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,251.1873729,2490.818656,219600,1,0,12626,12629,11,2475,35.65444565,35.65444565,0,35.65444565,0,392.1989021 +12628,MN,455,29,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,342 EAST 14 STREET,C1-6A,C1-7A, , , , , , , , ,Y,P3,8,0,X,UNITED JEWISH APPEAL-,20856,48820,48820,0,0,0,0,0,0,48820,2,1,4,0,1,105,206.5,103,191, ,3,Y,5,0,1831500,4664700,1831500,4664700,1965,0,0, , ,2.34,4,2,4,1,1004550029,0,40,988861,205678,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,632.8808945,20021.28405,2833200,12,0,12627,12630,89,20025,22.17099953,25.2322216,3.061222076,22.35266872,0.633307368,1989.387516 +12629,MN,451,7501,103,40,4000,1,2,10003,L011,9,14,6200,4,3, ,325 EAST 9 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,1292,2948,0,2948,0,0,0,0,0,0,2,1,4,4,4,14,92.27,14,51, ,0,N,0,5,28070,218944,7793,28678,1900,0,0, , ,2.28,4,0,4,1,1004517501,906,40,988156,204820,12c, ,103 019,10205, ,1004510049,9/29/1995,1, , ,17V1.1,7,223.0668196,1458.85153,190874,12,0,12628,12631,5,1125,23.62299919,28.4944458,4.87144661,24.59728851,1.948578644,122.9864426 +12630,MN,488,23,102,47,1002,2,1,10012,L008,1,15,6800,1,2,1A,396 WEST BROADWAY,M1-5A, , , , , , , , , ,N,S9,4,0, ,HH WEST BROADWAY LLC,3550,10110,4250,5860,0,4250,0,0,0,0,2,1,3,2,4,47.33,75,47.33,68, ,3,N,5,0,307718,510423,0,0,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,2.85,0,5,6.5,1,1004880023,0,47,983573,203165,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,252.5534341,3733.710785,202705,0,1,12629,12632,15,3375,9.686666489,9.686666489,0,9.686666489,0,145.2999973 +12631,MN,575,126,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,58 WEST 12 STREET,R6, , , , , , , , , ,N,C3,2,0, ,SALOME CONZEN,1995,4169,0,4169,0,0,0,0,0,0,2,1,3,4,4,19.33,103.25,19,40, ,3,N,5,5,331357,555621,0,0,1920,1985,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1005750126,0,63,985152,207177,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,248.4649203,1889.720085,224264,8,0,12630,12633,10,2250,24.42399979,27.07888794,2.654888153,24.6894886,0.796466446,246.894886 +12632,MN,719,74,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,458 WEST 22 STREET,R7B, , , , , , , , , ,N,C2,2,0, ,FINN G ISDAHL,2123,5670,0,5670,0,0,0,0,0,0,2,1,4,5,5,21.5,98.75,22,52, ,3,N,5,5,377897,634910,0,0,1910,0,0,Chelsea Historic District, ,2.67,3,0,3,1,1007190074,0,89,983175,211229,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,241.4458864,2185.549897,257013,7,1,12631,12634,10,2250,10.39400005,12.53555489,2.141554832,10.97506666,0.848778852,109.7506666 +12633,MN,768,80,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,176 8 AVENUE,C1-6A, , , , , , , , , ,N,K1,5,0, ,176 8TH AVENUE PARTNE,2115,2070,2070,0,0,2070,0,0,0,0,2,1,1,0,1,23.42,90,23,90,E,3,N,3,2,190350,385200,0,0,1940,2000,0, , ,0.98,4,2,4,1,1007680080,0,87,984235,209832,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,225.8714994,2007.217016,194850,7,0,12632,12635,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +12634,MN,764,47,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,214 WEST 15 STREET,R8B, , , , , , , , , ,N,N2,8,0,X,NAZARETH NURSERY,2141,4456,200,4256,0,0,0,0,0,200,2,1,3,0,2,24.75,86.5,25,45, ,3,N,5,1,226350,447750,226350,447750,1910,0,0, , ,2.08,4,0,4,1,1007640047,0,81,984214,208666,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,223.8464223,2062.817883,221400,7,0,12633,12636,9,2025,24.42199898,24.93444443,0.51244545,24.54036988,0.162785361,220.8633289 +12635,MN,447,43,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,331 EAST 5 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,331 EAST 5TH STREET L,2425,7000,0,7000,0,0,0,0,0,0,2,1,5,24,24,25,97,25,56, ,3,N,5,1,218250,912600,0,0,1900,0,0, , ,2.89,4,0,4,1,1004470043,0,38,987722,203922,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,252.4698622,2574.735405,694350,1,0,12634,12637,12,2700,27.01499939,31.74666786,4.731668472,28.71226835,2.051755685,344.5472202 +12636,MN,883,18,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,129 EAST 27 STREET,C4-5A, , , , , , , , , ,N,K4,4,0, ,129 EAST 27TH ST LLC,2156,5126,2750,2376,0,2750,0,0,0,0,2,1,3,4,5,21.67,98.75,22,64,E,3,N,5,1,247500,904950,0,0,1910,1989,0, , ,2.38,4,4,4,1,1008830018,0,68,988891,209758,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,248.0066813,2170.286764,657450,11,0,12635,12638,9,2025,33.29444504,33.29444504,0,33.29444504,0,299.6500053 +12637,MN,543,28,102,65,2000,2,1,10012,L009,6,15,5700,1,2,2A,18 MINETTA LANE,R7-2, , , ,C1-5, , , , , ,N,J9,5,0, ,"MINETTA LIVE, LLC",4606,9212,9212,0,1550,0,0,0,0,7662,2,1,2,0,1,63.67,70.75,63.66,70.75, ,3,N,5,2,450000,1086300,0,0,1985,0,0,South Village Historic District, ,2,3.44,0,6.5,1,1005430028,0,65,983944,205401,12a,Y,103 006,10207, ,1005430029,12/30/1985,1, , ,17V1.1,0,285.3706938,5064.160061,636300,9,0,12636,12639,21,4725,19.06100082,19.06100082,0,19.06100082,0,400.2810173 +12638,MN,720,61,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,428 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,428 W 23RD ST TENANTS,1646,4528,0,4528,0,0,0,0,0,0,2,1,4,4,4,16.67,98.75,17,67,E,3,N,5,2,89398,370428,4720,4720,1900,1986,0,Chelsea Historic District Extension, ,2.75,3,0,3,1,1007200061,0,93,983521,211332,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,237.881962,1697.042172,281030,2,1,12637,12640,6,1350,9.369999886,12.85999966,3.489999771,9.951666514,1.300646122,59.70999908 +12639,MN,350,41,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,26 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,134 GEM LLC,1988,8373,1431,6942,0,1431,0,0,0,0,2,1,5,8,9,26.5,75,26.5,54, ,0,N,5,5,123853,277245,0,0,2000,0,0, , ,4.21,4,0,4,1,1003500041,0,2201,988648,201758,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,209.5807433,2083.947992,153392,1,0,12638,12641,10,2250,21.35555649,25.20777893,3.852222443,22.10242252,1.190185383,221.0242252 +12640,MN,376,9,103,26.02,1002,1,2,10009,L011,9,14,6700,1,3,4A,234 EAST 7 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,C1,2,0,P,ROBLES & LEWIS ENTERP,2059,6490,0,6490,0,0,0,0,0,0,2,1,5,20,20,22.67,90.83,23,62, ,3,N,5,2,159750,682650,0,0,1900,1987,0, , ,3.15,4,0,4,1,1003760009,0,2602,990190,202948,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,232.1068862,2140.252258,522900,12,1,12639,12642,9,2025,7.864444256,9.462222099,1.597777843,8.185431957,0.60484754,73.66888762 +12641,MN,460,35,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,83 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0,P,COOPER SQUARE MUTUALH,1600,7885,1050,6835,0,645,0,405,0,0,2,1,5,4,5,20,80,20,80, ,0,N,5,5,101538,137616,88338,119726,1900,0,0,East Village/Lower East Side Historic Di, ,4.93,4,0,4,1,1004600035,0,38,987197,204057,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,211.190882,1753.158439,36078,1,0,12640,12643,7,1575,35.65444565,35.65444565,0,35.65444565,0,249.5811195 +12642,MN,460,23,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,224 EAST 5 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,AHRC NYC NEW PROJECTS,3824,5956,5956,0,0,0,0,0,0,5956,2,1,4,0,1,41.42,92.33,41.42,42,E,0,N,5,2,210600,726300,210600,726300,1900,2000,0,East Village/Lower East Side Historic Di, ,1.56,4,0,4,1,1004600023,0,38,986971,204165,12c, ,102 009,10205,E-216,0, ,1, , ,17V1.1,0,271.5911481,3930.470308,515700,1,0,12641,12644,17,3825,35.65444565,40.37555695,4.721111298,37.68192224,2.045693691,640.5926781 +12643,MN,809,65,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,136 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,136 WEST 34 ST ASSOCL,2469,3845,3845,0,0,3845,0,0,0,0,2,1,5,0,1,25,98.75,25,99,E,3,N,5,2,922500,7700850,0,0,1902,0,0, , ,1.56,10,15,15,1,1008090065,0,101,987140,212612,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,258.8376874,2716.415272,6778350,6,0,12642,12645,14,3150,41.24700165,43.31777573,2.070774078,41.46580287,0.573386736,580.5212402 +12644,MN,417,10,103,36.01,1000,1,1,10002,L018,5,14,6500,1,3,2A,246 ELDRIDGE STREET,C6-2A, , , , , , , , , ,N,S1,4,0, ,"CROZIER, ROBERT",1907,3520,800,2720,0,0,0,0,0,800,2,1,3,1,2,21.58,88.33,21.58,88.33, ,1,N,5,0,23211,53506,0,0,1930,0,0, , ,1.85,6.02,6,6.5,1,1004170010,0,3601,987197,202579,12c, ,102 003,10204,E-216,0, ,1, , ,17V1.1,0,228.4213484,2045.760089,30295,1,0,12643,12646,9,2025,36.00888824,36.00888824,0,36.00888824,0,324.0799942 +12645,MN,408,14,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,245 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,245 BROOME ST. REALTY,2187,8694,1100,7594,0,1100,0,0,0,0,2,1,5,20,22,25,87.5,25,76, ,0,N,5,2,90450,704700,0,0,1900,0,0, , ,3.98,4,4,4,1,1004080014,0,18,987084,200784,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,232.2067942,2409.534212,614250,13,0,12644,12647,10,2250,36.36111069,37.45888901,1.09777832,36.47088852,0.329333496,364.7088852 +12646,MN,907,15,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,223 EAST 26 STREET,R8B, , , , , , , , , ,N,Y6,7,0,C,SANITATION,2469,3788,3788,0,3788,0,0,0,0,0,2,2,2,0,2,25,98.75,25,58, ,0,N,5,5,158400,621900,158400,621900,1900,0,0, , ,1.53,4,0,4,1,1009070015,0,66,989645,209046,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,249.8921556,2433.831901,463500,11,0,12645,12648,12,2700,35.09000015,40.25666809,5.166667938,36.13787047,1.854486676,433.6544456 +12647,MN,539,10,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,227 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,227 SULLIVAN STREET A,2500,9780,1850,7930,0,1850,0,0,0,0,2,1,5,18,20,25,100,25,84, ,3,N,5,2,205200,1797300,0,0,1900,1985,0,South Village Historic District, ,3.91,3.44,0,6.5,1,1005390010,0,65,984405,205086,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,253.2871117,2541.094427,1592100,9,0,12646,12649,11,2475,25.23555565,26.93999863,1.704442978,25.39050501,0.489992905,279.2955551 +12648,MN,429,18,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,111 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JOHN VON HARTZ,2648,6173,0,6173,0,0,0,0,0,0,2,1,4,8,8,25,105.92,25,56, ,3,N,5,1,45716,182449,0,0,1900,1980,0, , ,2.33,4,0,4,1,1004290018,0,3002,987783,202820,12c, ,102 011,10205,E-216,0, ,1, , ,17V1.1,0,266.6284542,2707.856975,136733,1,0,12647,12650,12,2700,28.17333412,30.01333237,1.839998245,28.63601828,0.685796324,343.6322193 +12649,MN,818,78,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,50 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0, ,50 WEST REALTY COMPAN,6072,74792,74792,0,66792,8000,0,0,0,0,2,1,12,0,14,66,92,66,92, ,2,N,5,2,1035000,9285300,0,0,1911,1987,0,Ladies' Mile Historic District, ,12.32,10,10,10,1,1008180078,0,54,985705,208422,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,331.17606,6558.171321,8250300,7,0,12648,12651,30,6750,31.11599922,34.65777969,3.541780472,31.33000666,0.805308763,939.9001999 +12650,MN,482,7502,102,45,1001,2,1,10012,E055,5,15,6800,1,2, ,210 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,RM,4,0, ,FINE TIMES INC,11374,75705,11943,63762,0,11943,0,0,0,0,2,1,11,52,54,88.67,200.14,88.5,200, ,0,Y,5,5,584998,12935699,9440,9440,2005,0,0,SoHo-Cast Iron Historic District Extensi, ,6.66,0,5,6.5,1,1004827502,1484,45,984776,202224,12c, ,11N 073,10206, ,1004820032,12/16/2005,1, , ,17V1.1,7,595.4109516,12027.65575,12350700,0,0,12649,12652,55,12375,30.5791111,36.13888931,5.559778214,31.06873006,0.745892902,1708.780153 +12651,MN,831,9,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,43 WEST 29 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,KOREANA TRADING INC,2472,8200,8200,0,6150,2050,0,0,0,0,2,1,4,0,5,25,98.75,25,95,E,3,N,5,2,400500,1431450,0,0,1920,0,0, , ,3.32,0,10,10,1,1008310009,0,76,987226,211270,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,247.8656889,2342.289977,1030950,6,0,12650,12653,11,2475,41.16799927,41.16799927,0,41.16799927,0,452.8479919 +12652,MN,508,17,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,280 MOTT STREET,C6-2,C6-3, , , , ,LI, , , ,Y,C6,2,0,P,280 MOTT ST H D F C,2031,8650,0,8650,0,0,0,0,0,0,2,1,5,9,10,25,81.25,25,65, ,3,N,5,2,22020,119219,22020,29165,1920,0,0, , ,4.26,6.02,6,6.5,1,1005080017,0,43,985867,203110,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,220.2507257,2167.074545,97199,9,0,12651,12654,10,2250,44.87400055,50.27000046,5.395999908,45.49357834,1.609897309,454.9357834 +12653,MN,769,9,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,255 WEST 19 STREET,C6-2A, , , , , , , , , ,N,C0,2,0, ,JULES FISHER,1703,3960,0,2970,0,0,0,0,0,0,2,1,3,3,3,22.5,75.67,22.5,45, ,3,N,5,1,86292,139791,0,0,1901,0,0, , ,2.33,6.02,6,6.5,1,1007690009,0,87,984432,209846,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,197.6078822,1634.769919,53499,7,0,12652,12655,8,1800,21.88888931,21.88888931,0,21.88888931,0,175.1111145 +12654,MN,753,2,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,334 9 AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,233 NINTH CORP.,1470,4290,1050,3240,0,1050,0,0,0,0,2,1,5,4,5,21,70,21,50, ,0,N,5,5,144252,604661,0,0,1910,2005,0, , ,2.92,6.02,6,6.5,1,1007530002,0,97,984741,212625,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,197.6883773,1744.389679,460409,6,0,12653,12656,8,1800,28.20800018,32.3488884,4.140888214,28.72561121,1.369470053,229.8048897 +12655,MN,201,7,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,68 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,SOO YUEN BENEVOLENT A,2350,9659,4259,5400,1800,2459,0,0,0,0,2,1,5,12,15,25,94,25,72, ,3,N,5,2,194400,739350,0,0,1915,0,0, , ,4.11,3.44,6,6.5,1,1002010007,0,29,984832,200187,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,238.9253151,2366.134101,544950,14,0,12654,12657,9,2025,33.0379982,35.73755646,2.699558258,33.33794912,0.848389311,300.0415421 +12656,MN,449,31,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,129 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,VILLAGE JV 129 FIRST,1225,5390,1078,4312,0,1078,0,0,0,0,2,1,5,8,10,24.5,50,25,43, ,3,N,5,2,39794,241339,0,0,1900,1988,0, , ,4.4,4,0,4,1,1004490031,0,38,988225,204336,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,155.5481473,1297.038735,201545,12,0,12655,12658,6,1350,26.66699982,26.85433388,0.187334061,26.69822216,0.069815282,160.189333 +12657,MN,621,73,102,73,5001,2,3,10014,L005,6,15,6400,1,2,2K,75 CHARLES STREET,R6, , , , , , , , , ,N,C5,2,0, ,SEVENTY-FIVE CHARLES,1900,4024,0,4024,0,0,0,0,0,0,2,1,3,8,8,20,95.25,20,54,E,3,N,5,1,123314,370116,0,0,1910,1987,0,Greenwich Village Historic District, ,2.12,2.43,0,4.8,1,1006210073,0,73,983091,207036,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,237.6385328,1965.064005,246802,8,0,12656,12659,9,2025,24.81222343,25.85000038,1.037776947,25.22246975,0.466489811,227.0022278 +12658,MN,833,1,105,76,1006,2,3,10001,L024,14,15,5200,1,5,1A,876 AVENUE OF THE AMER,C6-6, , , , , ,MID, , , ,N,K4,4,0,P,PINKY REALTY LLC,1200,4800,4800,0,1680,3120,0,0,0,0,2,1,4,0,5,20,60,20,60,E,3,N,3,2,414000,1916100,0,0,1910,0,0, , ,4,10,15,15,1,1008330001,0,76,987337,211748,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,167.217442,1355.287739,1502100,6,0,12657,12660,7,1575,43.2480011,43.2480011,0,43.2480011,0,302.7360077 +12659,MN,821,41,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,148 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O6,5,0, ,150 5TH AVENUE OFFICE,19169,193412,193412,0,172424,19288,1700,0,0,0,2,1,11,0,25,104.25,195,104.25,195, ,0,Y,3,2,4500000,49770450,0,0,1900,1985,2012,Ladies' Mile Historic District, ,10.09,10,10,10,1,1008210041,0,54,986599,208760,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,629.1999195,21426.19458,45270400,7,0,12658,12661,96,21600,32.91555405,40.35444641,7.438892365,33.76526038,2.139717199,3241.464996 +12660,MN,540,30,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,214 SULLIVAN STREET,R7-2, , , , , , , , , ,N,O5,5,0, ,"HELGAR REALTY CO., L.",8500,54238,52238,2000,43738,8500,0,0,0,0,2,1,6,1,20,85,100,85,90, ,3,N,5,2,670500,4535100,0,0,1900,0,0,South Village Historic District, ,6.38,3.44,0,6.5,1,1005400030,0,65,984202,205044,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,374.0012942,8653.225919,3864600,9,0,12659,12662,38,8550,22.5755558,22.5755558,0,22.5755558,0,857.8711205 +12661,MN,850,24,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,31 EAST 21 STREET,M1-5M, , , , , , , , , ,N,D6,4,0, ,UNITED FLATIRON LLC,2419,8300,500,7800,0,500,0,0,0,0,2,1,5,18,19,24.5,98.75,24.5,70, ,3,N,5,1,335250,1452600,0,0,1900,1959,0,Ladies' Mile Historic District, ,3.43,0,5,6.5,1,1008500024,0,56,987444,208746,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,255.8383528,2501.731042,1117350,5,0,12660,12663,11,2475,35.59999847,37.49777603,1.897777557,35.77252371,0.545572689,393.4977608 +12662,MN,389,22,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,4A,208 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,208-10 EAST 7TH LLC,4544,19418,1000,18418,0,1000,0,0,0,0,2,1,6,28,30,50,90.83,50,77, ,2,N,5,2,292500,2424600,0,0,1900,1988,0, , ,4.27,4,0,4,1,1003890022,0,2602,989791,203171,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,281.8432448,4542.211446,2132100,12,1,12661,12664,22,4950,7.700000286,9.60444355,1.904443264,7.862293157,0.514472471,172.9704494 +12663,MN,635,20,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,27 BETHUNE STREET,R6, , , , , , , , , ,N,C0,2,0, ,27 BETHUNE STREET LLC,2296,3520,0,2640,0,0,0,0,0,0,2,1,3,3,3,22,84.42,22,42, ,3,Y,5,1,27326,144249,0,0,1899,0,0,Greenwich Village Historic District, ,1.53,2.43,0,4.8,1,1006350020,0,79,982213,207707,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,223.582484,1864.417743,116923,8,0,12662,12665,12,2700,13.34599972,15.56000042,2.214000702,13.7745924,0.763077662,165.2951088 +12664,MN,695,23,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,525 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,K2,5,0,P,NOVAWORKS REALTY CORP,2469,9876,9876,0,0,9876,0,0,0,0,2,1,4,0,3,25,98.75,25,98.75, ,3,N,5,2,730800,1885050,0,0,1910,1989,2014, , ,4,7.52,6,7.5,1,1006950023,0,99,982868,211918,8b, ,105S003,10301, ,0, ,1,1,1,17V1.1,0,254.9779567,2608.925943,1154250,2,1,12663,12666,12,2700,8.416999817,8.416999817,0,8.416999817,0,101.0039978 +12665,MN,218,11,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,428 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S1,4,0, ,PDS 428 GREENWICH LLC,1516,4531,1163,3368,0,1163,0,0,0,0,2,1,5,1,2,19.42,76.17,19,76, ,3,Y,5,5,49053,134445,0,0,1915,2014,0,Tribeca North Historic District, ,2.99,6.02,6,6.5,1,1002180011,0,39,981483,202473,12a, ,101N040,10105, ,0, ,1, ,1,17V1.1,0,199.8646312,1543.576271,85392,0,1,12664,12668,7,1575,7.816666603,7.816666603,0,7.816666603,0,54.71666622 +12666,MN,193,18,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,289 CHURCH STREET,C6-2A, , , , , , , , , ,N,A4,1,0, ,RAND STEVEN J,525,2140,0,2140,0,0,0,0,0,0,2,1,4,1,1,20.92,25,21,25, ,3,Y,5,5,29557,61543,0,0,1915,1968,0,Tribeca East Historic District, ,4.08,6.02,6,6.5,1,1001930018,0,33,983000,201224,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,95.76063107,561.1605091,31986,14,0,12665,12669,2,450,13.68111134,16.33666611,2.655554771,15.00888872,1.327777386,30.01777744 +12667,MN,583,9,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,436 HUDSON STREET,C1-6, , , , , , , , , ,N,S3,4,0,P,APPLETON PENN INC,1286,4325,1286,3039,0,1286,0,0,0,0,2,1,4,3,4,23,55.92,23,55, ,2,N,3,5,167442,383147,0,0,1910,1964,0,Greenwich Village Historic District, ,3.36,3.44,2,6.5,1,1005830009,0,67,982448,205530,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,162.3843203,1404.570124,215705,9,0,12666,12670,6,1350,15.38333321,18.75,3.366666794,16.46518517,1.531566717,98.79111099 +12668,MN,210,18,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,304 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,D6,4,0, ,304-306 CANAL STREET,2293,12060,2412,9648,0,2412,0,0,0,0,2,1,5,4,5,37.5,68.17,38,68, ,3,Y,4,2,415800,2088000,0,0,1910,2015,0,Tribeca East Historic District, ,5.26,6.02,6,6.5,1,1002100018,0,33,983512,201459,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,216.3346686,2638.858251,1672200,0,1,12667,12671,12,2700,12.09088898,12.39266682,0.30177784,12.3169628,0.070179282,147.8035536 +12669,MN,176,10,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,41 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,WHITE ROSE ARTISTS CO,3033,13100,2620,10480,0,2620,0,0,0,0,2,1,5,4,5,30,100.08,30,95,E,3,Y,5,2,102950,696657,2545,2545,1915,1984,2004, ,41 WORTH STREET BUILDING,4.32,6.02,6,6.5,1,1001760010,0,33,982333,200727,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,266.3444813,3219.258077,593707,14,0,12668,12672,14,3150,14.40400028,14.40400028,0,14.40400028,0,201.656004 +12670,MN,872,57,106,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,38 IRVING PLACE,R8A,R8B, , , , , , , , ,Y,W1,8,0,C,DCAS/DEPARTMENT OF ED,44742,370000,370000,0,0,370000,0,0,0,0,2,1,9,0,2,184,320,184,320, ,0,Y,3,2,6345000,22639500,6345000,22639500,1913,2011,0, , ,8.27,6,0,6,1,1008720057,0,50,987828,207176,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,1024.938945,47020.24223,16294500,5,0,12669,12673,209,47025,31.57888794,36.8433342,5.264446259,31.75725694,0.778334887,6637.266701 +12671,MN,303,27,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,55 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,O5,5,0, ,C T W REALTY CORP,7500,37500,37500,0,30000,7500,0,0,0,0,2,1,5,0,39,75,100,75,100, ,3,N,5,2,387900,3372300,0,0,1900,2002,0, , ,5,3.44,6,6.5,1,1003030027,0,16,985629,200322,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,354.4402883,7659.403796,2984400,0,0,12670,12674,34,7650,41.4129982,41.4129982,0,41.4129982,0,1408.041939 +12672,MN,575,56,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,11 WEST 11 STREET,R6, , , , , , , , , ,N,C6,2,0, ,11 W 11 ST OWNERS COR,2152,5000,0,5000,0,0,0,0,0,0,2,1,3,4,4,25,86.08,25,60,E,3,N,5,2,171258,408088,2360,2360,1900,0,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1005750056,0,63,985489,206859,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,230.9106704,2357.25684,236830,8,0,12671,12675,10,2250,24.42399979,25.15777779,0.733778,24.52664433,0.227755426,245.2664433 +12673,MN,472,7501,102,41,5001,2,1,10013,E055,5,15,6800,1,2, ,240 CENTRE STREET,C6-2G, , , , , ,LI, , , ,N,RM,4,0,C,240 CENTRE STREET CON,29375,38120,33483,4637,0,33483,0,0,0,0,2,1,8,51,52,396.02,101.21,0,0, ,0,Y,5,5,2441250,15550650,362910,6826260,1905,1988,0, ,FORMER POLICE HEADQUARTERS BUILDING,1.3,6.02,6,6.5,1,1004727501,586,41,984828,201650,12c, ,101N074,10206, ,1004720031,12/31/1988,1, , ,17V1.1,7,954.044464,28965.89478,13109400,0,0,12672,12676,130,29250,23.16666603,32.26222229,9.095556259,24.46377553,2.826698163,3180.290819 +12674,MN,451,17,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,212 EAST 10 STREET,R8B, , , , , , , , , ,N,D6,4,0,P,"CHOU, KATHERINE",2307,12304,2304,10000,0,2304,0,0,0,0,2,1,5,9,10,25,92.25,25,92.25, ,0,Y,5,5,262077,772059,0,0,1900,1992,2005, , ,5.33,4,0,4,1,1004510017,0,40,988097,204961,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,239.8296116,2377.625957,509982,12,0,12673,12677,11,2475,23.10400009,28.48111153,5.377111435,23.5928284,1.545810852,259.5211124 +12675,MN,844,33,105,52,2004,2,2,10003,L003,13,15,5700,1,5,1B,16 EAST 17 STREET,M1-5M, , , , , , , , , ,N,D0,3,0, ,E. 17TH ST. LOFT CORP,2300,17314,2000,15314,0,2000,0,0,0,0,2,1,8,7,8,25,92,25,92,E,3,N,5,2,179702,766820,7936,7936,1900,1984,0,Ladies' Mile Historic District, ,7.53,0,5,6.5,1,1008440033,0,52,986634,207907,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,236.0460206,2318.763237,587118,7,0,12674,12678,10,2250,40.79333496,41.19499969,0.401664734,41.14849968,0.119884703,411.4849968 +12676,MN,914,3,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,493 3 AVENUE,C1-9, , , , , , , , , ,N,S4,4,0,P,33RD STREET INVESTORS,2034,6980,1600,5380,0,1600,0,0,0,0,2,1,4,4,5,25.08,81.08,25,65,E,3,N,5,5,239069,615785,0,0,1910,0,0, , ,3.43,10,2,10,1,1009140003,0,70,990300,210764,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,218.8329354,2105.362653,376716,10,0,12675,12679,9,2025,21.61400032,24.78222275,3.168222427,22.26780319,0.897175831,200.4102287 +12677,MN,531,39,102,55.02,1000,2,1,10012,L009,9,15,5700,1,2,2A,356 BOWERY,M1-5B, , , , , , , , , ,N,C3,2,0, ,"356 BOWERY VENTURES,",1785,6155,0,6155,0,0,0,0,0,0,2,1,5,4,4,19.33,108.42,19,74, ,2,Y,5,5,136903,260646,0,0,1910,0,0,NoHo Historic District Extension, ,3.45,0,5,6.5,1,1005310039,0,5502,986469,204120,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,256.769087,1878.520564,123743,9,0,12676,12680,8,1800,41.26444626,42.95888901,1.694442749,41.4762516,0.560384266,331.8100128 +12678,MN,616,46,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,55 8 AVENUE,C1-6, , , , , , , , , ,N,G3,7,0, ,51 EIGHTH AVENUE LLC,4034,506,506,0,0,0,506,0,0,0,2,1,1,0,1,112,87.5,20,15, ,0,Y,3,5,315000,507150,0,0,1977,2012,0,Greenwich Village Historic District, ,0.13,3.44,2,6.5,1,1006160046,0,77,983285,208506,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,316.8606505,4246.1463,192150,8,0,12677,12681,19,4275,20.44199944,22.39999962,1.958000183,21.57168418,0.735650671,409.8619995 +12679,MN,460,51,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,71 EAST 4 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,COOPER SQUARE MUTUALH,2500,13200,0,13200,0,0,0,0,0,0,2,1,6,13,13,25,100,25,88, ,0,N,5,5,154350,1166850,154350,1166850,1920,1993,0,East Village/Lower East Side Historic Di, ,5.28,4,0,4,1,1004600051,0,38,986923,204079,12c, ,102 009,10205,E-216,1004600059,1/3/1995,1, , ,17V1.1,0,258.9084541,2611.340803,1012500,1,0,12678,12682,11,2475,35.65444565,35.65444565,0,35.65444565,0,392.1989021 +12680,MN,592,82,102,71,5004,2,3,10014,E024,6,15,6100,1,2,1B,129 WEST WASHINGTON PLCE,R6, , , , , , , , , ,N,D3,3,0, ,13-15 SHERIDAN SQUARE,9092,38214,0,38214,0,0,0,0,0,0,2,1,6,52,52,129.58,97.08,130,97, ,3,Y,5,2,972000,5300550,0,0,1924,1985,0,Greenwich Village Historic District, ,4.2,2.43,0,4.8,1,1005920082,0,71,983769,206381,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,425.610315,9433.137452,4328550,9,0,12679,12683,42,9450,17.50333405,17.51888847,0.015554428,17.50370439,0.002371356,735.1555843 +12681,MN,466,24,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,230 EAST 11 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,230 EAST 11 STREET LL,1493,3772,0,3440,0,0,0,0,0,0,2,1,4,2,2,16.67,89.58,17,50.6, ,3,N,5,1,32316,100224,0,0,1900,1988,0, , ,2.53,4,0,4,1,1004660024,0,40,987737,205449,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,224.11335,1649.213388,67908,12,0,12680,12684,7,1575,32.08111191,33.0177803,0.936668396,32.21492168,0.327765661,225.5044518 +12682,MN,860,64,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,128 MADISON AVENUE,C5-2, , , , , , , , , ,N,C7,4,0, ,GELTMAN RLTY CORP,1805,7251,1900,5351,0,1900,0,0,0,0,2,1,5,9,10,19,95,19,95, ,3,N,5,2,72507,534277,0,0,1925,0,0, , ,4.02,10,10,10,1,1008600064,0,74,988466,210967,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,234.8512024,1880.764007,461770,10,0,12681,12685,8,1800,37.50888824,37.50888824,0,37.50888824,0,300.071106 +12683,MN,719,40,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,187 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,K2,5,0,P,"YAMCO II, LLC",1115,1604,1604,0,0,1604,0,0,0,0,2,1,2,0,1,18.58,60,18.58,36, ,3,N,5,0,450000,630450,0,0,1910,0,0,Chelsea Historic District, ,1.44,3,0,3,1,1007190040,0,89,983594,210887,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,161.9735596,1185.881614,180450,7,1,12682,12686,6,1350,9.307999611,9.307999611,0,9.307999611,0,55.84799767 +12684,MN,134,21,101,21,1004,2,1,10007,L010,1,15,7700,1,1,1A,15 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,S4,4,0,P,"15 WARREN STREET, LLC",1888,8440,1888,6552,0,1888,0,0,0,0,2,1,5,4,5,25,75.5,25,76, ,3,N,5,2,100242,713836,0,0,1920,1985,0, , ,4.47,7.52,6,7.5,1,1001340021,0,21,982132,199333,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,204.8826392,1934.692251,613594,3,0,12683,12687,8,1800,30.50333214,31.54989052,1.04655838,30.63415194,0.346116651,245.0732155 +12685,MN,485,35,102,49,1008,2,1,10013,E055,1,15,6800,1,2,1A,456 BROOME STREET,M1-5A, , , , , , , , , ,N,C6,2,0, ,THE NIEUW BROOME TNTS,2500,10630,2000,8630,0,2000,0,0,0,0,2,1,5,4,5,25,100,25,94, ,3,N,5,2,159780,811042,3458,3458,1900,2005,2014,SoHo-Cast Iron Historic District, ,4.25,0,5,6.5,1,1004850035,0,49,984060,202491,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,259.987976,2760.944489,651262,0,0,12684,12688,12,2700,17.71444511,17.71444511,0,17.71444511,0,212.5733414 +12686,MN,773,27,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,225 WEST 23 STREET,C2-7A, , , , , , , , , ,N,D7,4,0, ,23RD STREET OWNER LLC,12961,66524,6000,60524,0,6000,0,0,0,0,2,1,7,127,138,131.25,98.75,131,86, ,3,N,5,2,1525500,5625450,0,0,1930,0,0, , ,5.13,7.52,2,7.5,1,1007730027,0,91,985233,210606,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,462.3518291,13147.43837,4099950,2,0,12685,12689,58,13050,23.38899994,27.05999947,3.670999527,24.01483516,1.289884573,1392.860439 +12687,MN,279,15,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,59 ST JAMES PLACE,R7-2, , , ,C2-5, ,TA, , , ,N,K4,4,0, ,LUCKY MOTT REALTY CO,4038,17500,3100,6800,0,3100,0,0,0,0,2,4,5,8,10,72.08,100.92,25,95.98, ,0,Y,3,0,270000,1724850,0,0,1830,1980,0, , ,4.33,3.44,0,6.5,1,1002790015,0,27,984737,199011,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,291.0161297,4505.917776,1454850,16,0,12686,12690,20,4500,17.07600021,28.09222221,11.016222,18.52572231,3.290801114,370.5144463 +12688,MN,452,31,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,175 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,175 FIRST AVENUE LLC,1483,4776,1375,3401,0,1375,0,0,0,0,2,1,5,4,5,23.17,64,23.17,64, ,3,N,5,0,34432,186048,0,0,1920,2014,2014, , ,3.22,4,0,4,1,1004520031,0,40,988579,204994,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,174.4907458,1456.870624,151616,12,0,12687,12691,7,1575,22.86222267,22.86222267,0,22.86222267,0,160.0355587 +12689,MN,97,18,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,213 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,D7,4,0,P,YARROW TWO LLC,9149,40000,4000,36000,0,4000,0,0,0,0,2,1,7,29,33,125,70,125.1,70.9, ,3,Y,5,0,1035000,3356550,153000,2474550,2004,0,0,South Street Seaport Historic District, ,4.37,6.02,6,6.5,1,1000970018,0,1501,983617,196946,12b, ,101S023,10103, ,1000970018,12/2/1993,1,1,1,17V1.1,0,396.8436558,8906.022913,2321550,4,1,12688,12692,42,9450,5.993332863,5.993332863,0,5.993332863,0,251.7199802 +12690,MN,281,6,103,8,1000,2,1,10038,E009,5,14,7800,1,3,1A,16 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K2,5,0, ,TSUNG TSIN ASSOCIATIO,4035,28055,28055,0,14279,13776,0,0,0,0,2,1,6,0,15,53.94,71.58,53,71, ,3,Y,3,2,792000,3236850,0,0,1987,0,0, , ,6.95,3.44,6,6.5,1,1002810006,0,8,985029,199287,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,266.6358489,4375.085355,2444850,16,0,12689,12693,21,4725,33.92777634,33.92777634,0,33.92777634,0,712.4833031 +12691,MN,307,22,103,16,2000,2,1,10002,L006,5,14,7400,1,3,2B,305 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0,P,EZRA COHEN MANAGEMENT,3305,9915,9915,0,0,6610,0,3305,0,0,2,1,3,0,2,44,75.08,44,75, ,3,N,3,2,283050,2237400,0,0,1910,1968,2006, , ,3,3.44,6,6.5,1,1003070022,0,16,986548,200605,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,244.1133008,3459.532003,1954350,13,0,12690,12694,17,3825,39.60333252,41.39777756,1.794445038,39.70888811,0.422222362,675.0510979 +12692,MN,273,17,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,191 MADISON STREET,R7-2, , , , , , , , , ,N,D1,3,0,P,CHINATOWN PRESERVATIO,2383,8995,0,8995,0,0,0,0,0,0,2,1,6,24,24,23.83,100,24,87, ,3,N,5,0,137250,539550,0,0,1910,1966,0, , ,3.77,3.44,0,6.5,1,1002730017,0,6,986835,198981,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,252.2733543,2427.739588,402300,16,0,12691,12695,11,2475,23.87533379,25.65999985,1.784666061,24.19971744,0.688121674,266.1968918 +12693,MN,823,69,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,48 WEST 22 STREET,C6-4A, , , , , , , , , ,N,D0,3,0, ,22ND STREET OWNERS IN,2271,12740,2000,10740,0,2000,0,0,0,0,2,1,6,5,6,23,98.75,23,94,E,3,N,5,2,149676,627484,7080,7080,1925,1984,0,Ladies' Mile Historic District, ,5.61,10,10,10,1,1008230069,0,58,986309,209492,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,248.7515365,2371.911457,477808,7,0,12692,12696,10,2250,33.74333191,35.06777954,1.324447632,33.87577667,0.39733429,338.7577667 +12694,MN,392,9,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,348 EAST 10 STREET,R7A, , , , , , , , , ,N,C6,2,0,P,348 E 10 ST HOUSING D,1702,7115,0,7115,0,0,0,0,0,0,2,1,5,10,10,26.17,69.25,26,52, ,2,Y,5,2,24070,106961,3221,3221,1900,0,0, , ,4.18,4,0,4,1,1003920009,0,28,989886,203986,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,193.6841803,1726.071112,82891,12,1,12693,12697,8,1800,7.576999664,9.749333382,2.172333717,8.015722036,0.788033553,64.12577629 +12695,MN,22,13,101,9,1002,2,1,10004,L015,1,15,7700,1,1,1A,26 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,BROADWAY 26 WATERVIEW,46055,860889,860889,0,856889,3500,0,500,0,0,2,1,32,0,49,277.58,207,277,207, ,3,Y,3,2,12465000,55490400,0,0,1923,1925,0, ,STANDARD OIL BUILDING,18.69,10,15,15,1,1000220013,0,9,980673,196283,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,872.3536884,48769.14279,43025400,17,0,12694,12698,217,48825,14.18222237,27.21000099,13.02777863,17.0902996,1.267383068,3708.595014 +12696,MN,451,47,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,329 EAST 9 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,KUSHNER VILLAGE 329 E,1476,3024,0,3024,0,0,0,0,0,0,2,1,4,5,5,16,92.25,16,48, ,3,N,5,5,61552,83402,0,0,1900,0,0, , ,2.05,4,0,4,1,1004510047,0,40,988186,204803,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,224.0112981,1504.392737,21850,12,0,12695,12699,7,1575,23.10400009,28.44888878,5.344888687,26.42844445,2.125301062,184.9991112 +12697,MN,355,40,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,170 NORFOLK STREET,R7A, , , , , , , , , ,N,C6,2,0,P,NORFOLK ARMS TENANTS,2500,10610,0,10610,0,0,0,0,0,0,2,2,5,23,23,25,100,25,62, ,0,N,5,5,180000,900000,16520,16520,1900,1987,0, , ,4.24,4,0,4,1,1003550040,0,3001,988203,201961,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,256.3254587,2579.06079,720000,1,0,12696,12700,12,2700,25.82699966,27.88000107,2.053001404,27.31600936,0.515466465,327.7921124 +12698,MN,227,4,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,387 CANAL STREET,M1-5A, , , , , , , , , ,N,K1,5,0, ,387 HOLDING CORP,1618,1586,1586,0,0,1586,0,0,0,0,2,1,1,0,1,21.33,76.17,21,76,E,3,Y,5,2,108450,625500,0,0,1920,0,0, , ,0.98,0,5,6.5,1,1002270004,0,47,982934,202232,12a, ,101N042,10105, ,0, ,1,1,1,17V1.1,0,193.1739743,1643.000563,517050,0,1,12697,12701,7,1575,9.686666489,9.686666489,0,9.686666489,0,67.80666542 +12699,MN,859,7502,105,74,3003,2,2,10016,E016,14,15,5200,1,5, ,39 EAST 29 STREET,C5-2, , , , , , , , , ,N,R4,3,0, , ,8451,142131,6050,136081,0,0,6050,0,0,0,2,1,34,141,141,85.58,98.75,60,80, ,1,N,5,5,545852,24756008,0,4797511,2008,0,0, , ,16.82,10,10,10,1,1008597502,1930,74,988654,210476,8d, ,104 017,10306, ,1008590032,3/16/2009,1, , ,17V1.1,7,379.0607963,8890.631717,24210200,11,0,12698,12702,41,9225,37.60300064,41.09999847,3.496997833,39.90033434,0.662428392,1635.913708 +12700,MN,239,10,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,88 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,88 ELIZA MANOR CORP,2103,9372,1500,7872,0,1500,0,0,0,0,2,1,6,24,26,24.75,89.83,24,74, ,3,Y,5,2,144000,747900,0,0,1910,1988,0, , ,4.46,6.02,6,6.5,1,1002390010,0,41,985438,200926,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,237.1296042,2345.130782,603900,0,0,12699,12703,10,2250,31.48699951,34.76777649,3.280776978,31.85788841,0.978324676,318.5788841 +12701,MN,619,10,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,250 WEST 10 STREET,C1-6, , , , , , , , , ,N,A9,1,0, ,ASTOR STREET PARTNERS,1005,3000,0,3000,0,0,0,0,0,0,2,1,3,1,1,25.56,51.04,25.65,51, ,3,Y,5,2,116892,394432,0,0,1900,2005,0,Greenwich Village Historic District, ,2.99,3.44,2,6.5,1,1006190010,0,73,982599,206574,12a, ,103 012,10210, ,1006190009,10/25/2007,1, , ,17V1.1,0,152.0830284,1178.627439,277540,9,0,12700,12704,6,1350,20.56999969,23.2211113,2.651111603,21.01185163,0.98801096,126.0711098 +12702,MN,715,60,104,83,3000,2,3,10011,E003,10,15,5600,1,4,1B,456 WEST 18 STREET,C6-3, , , , , ,WCH, , , ,N,K1,5,0, ,18TH STREET KOSTAS LL,5775,7483,7483,0,0,7483,0,0,0,0,2,1,1,0,1,75,92,75,92, ,3,Y,5,2,553500,2627100,0,0,1966,2000,0, , ,1.3,7.52,6,10,1,1007150060,0,83,982596,210422,8b, ,103 041,10302,E-142,0, ,1, ,1,17V1.1,0,338.871097,5991.607677,2073600,7,1,12701,12705,25,5625,9.883333206,11.21000004,1.326666832,9.947910995,0.263712247,248.6977749 +12703,MN,331,200,103,12,3003,1,1,10002,L018,7,14,7600,1,3,2B,275 DELANCEY STREET,R7-2, , , , , , , , , ,N,G1,10,0, ,HILLMAN HOUSING CORP,31845,98862,98862,0,0,0,95000,0,0,3862,2,1,3,0,2,219.67,144.75,145,170, ,1,Y,3,2,1304100,5635800,0,0,1952,0,0, , ,3.1,3.44,0,6.5,1,1003310200,0,12,989650,199945,12d,Y,101N082,10201, ,0, ,1, , ,17V1.1,0,777.1879189,35863.27504,4331700,13,0,12702,12706,159,35775,12.9244442,16.61333275,3.68888855,13.50438878,0.787733683,2147.197816 +12704,MN,634,12,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,126 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,"GORDON, SARAH A",1694,1836,0,1836,0,0,0,0,0,0,2,1,3,1,1,17.83,95,17.83,36, ,2,N,5,2,24339,98535,0,0,1899,0,0,Greenwich Village Historic District, ,1.08,2.43,0,4.8,1,1006340012,0,75,982096,207447,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,231.459721,1877.326627,74196,9,0,12703,12707,9,2025,13.33333302,17.30000114,3.966668129,14.63543214,1.841739444,131.7188892 +12705,MN,195,26,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3A,88 WHITE STREET,C6-2A, , , , , , , , , ,N,L9,6,0, ,88 WHITE ST RLTY CORP,2825,9350,8510,840,2000,0,0,6510,0,0,2,1,5,4,5,23,123.17,23,116, ,3,Y,5,2,156150,862200,0,0,1915,0,0, , ,3.31,6.02,6,6.5,1,1001950026,0,31,983744,200755,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,297.8632387,2981.503448,706050,14,0,12704,12708,13,2925,13.85000038,17.25555611,3.405555725,14.11196621,0.907476238,183.4555607 +12706,MN,406,40,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,547 EAST 12 STREET,R7A, , , ,C1-5, , , , , ,N,C6,2,0,P,547-49 E 12TH ST HOUS,3211,12030,1500,10530,0,1500,0,0,0,0,2,1,5,15,16,35,91.75,35,88,E,2,N,5,2,202500,504450,202500,298395,1900,1981,0, , ,3.75,4,0,4,1,1004060040,0,34,990011,204663,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,256.7136189,3225.602973,301950,12,1,12705,12709,14,3150,11.35888863,13.12555504,1.766666412,11.58158704,0.551121459,162.1422186 +12707,MN,720,64,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,434 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,434 WEST 23RD ST TENA,2485,7331,0,7331,0,0,0,0,0,0,2,1,6,5,5,25.17,98.75,25,60,E,3,N,5,1,159166,675324,4720,4720,1920,1988,0,Chelsea Historic District Extension, ,2.95,3,0,3,1,1007200064,0,93,983473,211358,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,253.8112527,2512.487176,516158,2,1,12706,12710,11,2475,9.369999886,9.800000191,0.430000305,9.409090822,0.123616396,103.499999 +12708,MN,434,39,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,437 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,P V P MANAGEMENT CORP,2271,6415,1200,5215,0,1200,0,0,0,0,2,1,5,8,9,25,90.83,25,48, ,3,N,5,2,32359,118206,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.82,4,0,4,1,1004340039,0,32,988555,203747,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,239.0009869,2327.517473,85847,1,0,12707,12711,10,2250,18.26222229,20.13555527,1.873332977,18.79277782,0.684670232,187.9277782 +12709,MN,547,4,102,59,3002,2,1,10003,E033,6,15,5700,1,2,2A,28 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,3048,28641,28641,0,0,0,0,0,0,28641,2,1,10,0,1,37.75,80.75,37.75,76, ,3,N,5,2,607500,2488950,607500,2488950,1900,1985,0, , ,9.4,3.44,0,6.5,1,1005470004,0,59,985558,205364,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,249.4840483,3334.059469,1881450,9,0,12708,12712,16,3600,31.66888809,33.90777588,2.238887787,31.91659641,0.661654161,510.6655426 +12710,MN,423,18,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,325 BROOME STREET,C6-3A, , , , , , , , , ,N,S9,4,0,P,"RADETSKY, CHARLES H",1908,6750,1250,5500,0,1250,0,0,0,0,2,2,5,4,7,25,76.33,25,54,E,3,Y,5,1,137076,281495,0,0,1900,0,0, , ,3.54,7.52,6,7.5,1,1004230018,0,18,985990,201227,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,209.5600548,2004.813675,144419,0,0,12709,12713,9,2025,34.16999817,34.16999817,0,34.16999817,0,307.5299835 +12711,MN,477,64,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,113 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,K1,5,0,P,POINT SOHO LLC,232,232,232,0,0,232,0,0,0,0,2,1,1,0,1,58,4,58,4, ,0,Y,3,5,22500,138600,0,0,1995,0,0, , ,1,0,10,10,1,1004770064,0,37,982893,203002,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,172.3115363,281.1316277,116100,0,1,12710,12714,2,450,13.17666626,14.23222256,1.055556297,13.70444441,0.527778149,27.40888882 +12712,MN,145,7505,101,21,1000,2,1,10007,E007,1,15,7700,3,1, ,123 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1875,10204,1348,8856,0,1348,0,0,0,0,2,1,7,5,6,24.75,75.33,24.75,73, ,0,Y,0,5,86965,586049,0,0,1930,0,0,Tribeca South Historic District, ,5.44,7.52,6,7.5,1,1001457505,1431,21,981863,199935,12b, ,100 000,10104, ,1001450011,5/11/2005,1, , ,17V1.1,7,211.1738444,1968.940695,499084,14,0,12711,12715,9,2025,21.27222252,22.65888977,1.386667252,21.42629666,0.435787474,192.8366699 +12713,MN,506,52,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,25 VANDAM STREET,R6, , , , , , , , , ,N,S2,4,0, ,TWENTY FIVE VAN DAM L,2010,3000,800,2200,0,800,0,0,0,0,2,1,2.75,2,3,20.08,100.08,20.08,40,E,3,N,5,1,38932,114295,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,1.49,2.43,0,4.8,1,1005060052,0,37,982925,203987,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,244.8059363,2056.207082,75363,0,0,12712,12716,7,1575,20.62700081,25.54999924,4.922998428,23.11712701,2.201473132,161.8198891 +12714,MN,508,34,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,255 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,K1,5,0, ,255 ELIZABETH REALTY,2112,2100,2100,0,0,2100,0,0,0,0,2,1,1,0,1,23.67,88.17,20,88, ,3,Y,5,0,189000,1237050,0,0,1900,2003,0, , ,0.99,6.02,6,6.5,1,1005080034,0,43,985912,202940,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,233.700464,2201.098629,1048050,9,0,12713,12717,9,2025,44.87400055,48.16044235,3.286441803,45.23916075,1.032829015,407.1524467 +12715,MN,398,7502,103,30.02,1000,1,2,10009,E028,9,14,6600,3,3, ,186 EAST 2 STREET,R8B, , , , , , , , , ,N,RD,3,0, , ,2544,11491,0,11491,0,0,0,0,0,0,2,1,5,17,17,24,100.92,24,100.92, ,0,N,5,5,44550,1246950,7080,7080,1920,0,0, , ,4.52,4,0,4,1,1003987502,537,3002,988647,202527,12c, ,102 012,10203, ,1003980046,12/31/1988,1, , ,17V1.1,7,268.6207789,2718.850187,1202400,1,0,12714,12718,11,2475,19.43000031,19.43000031,0,19.43000031,0,213.7300034 +12716,MN,879,26,106,68,4000,2,2,10010,E016,13,14,5300,1,6,1B,141 EAST 23 STREET,C6-4A,C2-8A, , , , , , , , ,Y,D3,3,0,P,141 E 23RD ST HOFC,2568,16500,0,16500,0,0,0,0,0,0,2,1,10,19,19,26,98.75,26,98.75, ,3,N,5,2,135000,377550,0,99020,1998,0,0, , ,6.43,10,10,10,1,1008790026,0,68,988634,208723,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,251.6145722,2594.975172,242550,11,0,12715,12719,11,2475,26.06111145,26.06111145,0,26.06111145,0,286.672226 +12717,MN,124,7,101,21,1007,2,1,10007,L010,1,15,7700,1,1,1A,17 PARK PLACE,C6-4, , , , , ,LM, , , ,N,D7,4,0, ,AZTEC ASSOCIATES,3878,19400,3878,15522,0,3878,0,0,0,0,2,1,5,8,10,25.58,151.83,26,152, ,3,N,4,2,424354,1911612,0,0,1920,1957,0, , ,5,10,10,10,1,1001240007,0,21,981925,199131,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,376.3380736,4359.954649,1487260,3,0,12716,12720,20,4500,33.17499924,33.61888886,0.443889618,33.19719372,0.096743499,663.9438744 +12718,MN,398,24,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,188 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,F L O W H D E C,2542,9240,900,8340,0,900,0,0,0,0,2,1,5,8,9,24,105.92,24,75, ,0,N,5,1,154031,735403,154031,735403,1900,1995,0, , ,3.63,4,0,4,1,1003980024,0,3002,988741,202599,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,262.9207175,2533.015148,581372,1,0,12717,12721,12,2700,19.43000031,21.7733345,2.343334198,19.71646341,0.626173472,236.5975609 +12719,MN,720,49,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,410 WEST 23 STREET,C1-6A, , , , , , , , , ,N,D4,3,0, ,WEST 23RD STREET OWNE,9430,36575,4704,31871,0,4704,0,0,0,0,2,1,6,44,46,95.5,98.75,95,58, ,3,N,5,2,486000,3367350,64427,64427,1920,1988,0, , ,3.88,4,2,4,1,1007200049,0,93,983701,211232,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,393.7663794,9675.390114,2881350,2,1,12718,12722,43,9675,9.369999886,16.21888924,6.848889351,10.18180869,1.85499828,437.8177738 +12720,MN,191,17,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3A,247 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,"HAMB REALTY,",1993,10800,2700,8100,0,2700,0,0,0,0,2,1,4,3,4,18.83,112.25,19,112,E,3,Y,4,5,351691,498162,0,0,1920,1988,0, , ,5.42,6.02,6,6.5,1,1001910017,0,33,982717,201483,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,261.8900265,2047.887329,146471,14,1,12719,12723,10,2250,9.956666946,10.63133335,0.674666405,10.32660027,0.174893004,103.2660027 +12721,MN,63,12,101,13,1007,2,1,10007,E010,1,15,7700,1,1, ,5 DEY STREET,C5-5, , , , , ,LM, , , ,N,O6,5,0, ,187 BROADWAY OWNER LL,4723,66686,66686,0,63686,3000,0,0,0,0,2,1,16,0,33,52.25,91.08,52,90, ,0,Y,5,5,1071000,5557500,0,0,1921,0,0, , ,14.12,10,15,15,1,1000630012,0,13,981446,198125,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,291.8841778,4904.637436,4486500,3,0,12720,12724,22,4950,30.24888802,30.84622383,0.597335815,30.80653607,0.121735924,677.7437935 +12722,MN,178,7502,101,33,2006,2,1,10013,E007,1,15,7700,3,1, ,211 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5590,31876,6348,25528,0,6348,0,0,0,0,2,1,6,10,12,0.12,0,0,0, ,0,N,0,5,398699,3111300,0,0,1915,0,0,Tribeca East Historic District, ,5.7,6.02,6,6.5,1,1001787502,932,33,982524,201189,12a, ,11S 036,10105, ,1001780013,9/11/1996,1, , ,17V1.1,7,363.3173781,5870.059308,2712600,14,1,12721,12725,26,5850,9.793333054,12.2588892,2.465556145,9.924657895,0.50118925,258.0411053 +12723,MN,348,30,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,103 CLINTON STREET,R8A, , , ,C1-5, , , , , ,N,C6,2,0,P,103 CLINTON STREET HO,2530,9850,1500,8350,0,1500,0,0,0,0,2,1,5,16,18,25.25,100,25,88, ,3,N,5,2,180000,481500,122916,122916,1920,0,0, , ,3.89,6,0,6,1,1003480030,0,1402,988193,200969,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,258.7101433,2630.103413,301500,13,0,12722,12726,11,2475,24.76333427,25.78222275,1.018888474,24.8559605,0.292909842,273.4155655 +12724,MN,77,18,101,15.02,1004,2,1,10038,E006,1,15,7700,1,1,1B,136 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,D9,3,0,P,136 WILLIAM STREET,2609,12500,2500,10000,0,2500,0,0,0,0,2,1,6,10,11,25.92,100.5,25,100, ,3,N,5,2,234900,1238400,0,0,1900,1990,0, , ,4.79,10,10,10,1,1000770018,0,1502,982465,197672,12b, ,101S012,10102, ,1000770018,12/24/1992,1, , ,17V1.1,0,257.3649752,2683.190785,1003500,4,0,12723,12727,11,2475,25.46999931,29.0233326,3.553333282,25.79302961,1.021511496,283.7233257 +12725,MN,177,24,101,33,2007,2,1,10013,E007,1,15,7700,1,1,3B,111 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,W6,8,0,P,NEW YORK ACADEMY OF A,7675,33464,33464,0,0,0,0,0,0,33464,2,1,5,0,5,76.75,100,77,96,E,3,N,5,2,742500,4499100,742500,4499100,1915,1994,0,Tribeca East Historic District, ,4.36,6.02,6,6.5,1,1001770024,0,33,982562,201003,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,362.560274,8060.079601,3756600,14,1,12724,12728,37,8325,10.73999977,15.59777832,4.857778549,11.11473256,1.100293741,411.2451048 +12726,MN,595,74,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,512 GREENWICH STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,FAMILIA HOLDINGS LLC,756,3024,3024,0,0,0,0,3024,0,0,2,1,4,6,8,18.75,40.33,18.75,40.33, ,3,N,5,2,48150,148950,0,0,1900,0,0, , ,4,6.02,6,6.5,1,1005950074,0,37,981669,203715,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,122.4888133,800.3076691,100800,0,1,12725,12729,3,675,8.821000099,8.821000099,0,8.821000099,0,26.4630003 +12727,MN,195,5,101,31,1005,2,1,10013,L001,5,15,7700,1,1,3B,392 BROADWAY,C6-2A, , , , , , , , , ,N,L8,6,0, ,"STELLA BAUM, FREDERI",4849,24000,9560,14440,0,4800,0,4760,0,0,2,1,5,3,5,27.58,175,28,172, ,3,Y,4,2,195750,1902600,0,0,1920,1996,0,Tribeca East Historic District, ,4.95,6.02,6,6.5,1,1001950005,0,31,983604,200946,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,416.9961559,5039.751869,1706850,14,0,12726,12730,23,5175,17.82155609,20.75,2.928443909,18.02232892,0.581772297,414.5135651 +12728,MN,910,52,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,218 EAST 30 STREET,R7B, , , , , , , , , ,N,C0,2,0,P,218 EAST 30TH ST. LLC,1852,3648,0,2736,0,0,0,0,0,0,2,1,3,3,3,18.75,98.75,18.75,48, ,2,N,5,1,57847,137577,0,0,1910,0,0, , ,1.97,3,0,3,1,1009100052,0,70,990011,209841,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,235.4682213,1777.185304,79730,10,0,12727,12731,8,1800,34.37666702,38.93222427,4.555557251,35.99708414,1.755914386,287.9766731 +12729,MN,276,27,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,43 MARKET STREET,R7-2, , , , , , , , , ,N,S2,4,0, ,CHU LAI FONG,846,2079,728,1351,0,728,0,0,0,0,2,1,3,2,3,20.33,41.58,18.33,40, ,0,N,5,5,9774,24264,0,0,1915,0,0, , ,2.46,3.44,0,6.5,1,1002760027,0,8,985771,198716,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,130.3391563,914.9054097,14490,16,0,12728,12732,3,675,23.59300041,23.59300041,0,23.59300041,0,70.77900124 +12730,MN,898,52,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,206 EAST 18 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,206 EAST 18TH STREET,2116,5336,0,5336,0,0,0,0,0,0,2,1,4,6,6,23,92,23,58, ,3,N,5,2,86357,405600,0,0,1920,1986,0,Stuyvesant Square Historic District, ,2.52,3,0,3,1,1008980052,0,48,988414,207201,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,238.1577693,2259.484344,319243,5,0,12729,12733,11,2475,22.7840004,28.36111069,5.577110291,24.98838407,2.47615229,274.8722248 +12731,MN,528,41,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,21 BEDFORD STREET,R6, , , , , , , , , ,N,S5,4,0,P,DAD BADA REALTY,1414,6100,1200,4900,0,1200,0,0,0,0,2,1,5,5,6,20,75,20,60, ,3,Y,5,0,110696,210783,0,0,1900,0,0,Greenwich Village Historic District Exte, ,4.31,2.43,0,4.8,1,1005280041,0,67,983231,204870,12a, ,103 003,10206, ,1005280035,1/6/1994,1, , ,17V1.1,0,187.862106,1418.230105,100087,9,0,12730,12734,6,1350,15.79399967,15.79399967,0,15.79399967,0,94.76399803 +12732,MN,465,53,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,149 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,S5,4,0,P,"SHOUT 1, LLC",4104,7743,3040,4703,0,3040,0,0,0,0,2,1,3.5,5,6,32.83,125,33,97, ,0,N,5,5,167049,493006,0,0,1910,1989,2009, , ,1.89,4,0,4,1,1004650053,0,40,987732,205069,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,329.5958883,4406.181632,325957,12,0,12731,12735,20,4500,31.03333282,32.89444351,1.861110687,31.12638836,0.40561967,622.5277672 +12733,MN,72,25,101,15.02,2011,2,1,10038,E004,1,15,7700,1,1,1B,87 SOUTH STREET,C5-3, , , , , ,LM, , , ,N,K1,5,0,P,NYC MEDIA LLC,1082,424,424,0,0,424,0,0,0,0,2,1,1,0,1,21.75,50.08,12,26, ,3,Y,3,0,146250,619200,0,0,1940,0,0,South Street Seaport Historic District, ,0.39,10,15,15,1,1000720025,0,1502,983109,196427,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,151.1949652,1193.795833,472950,4,1,12732,12736,5,1125,5.993332863,5.993332863,0,5.993332863,0,29.96666431 +12734,MN,569,38,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,11 EAST 11 STREET,R7-2, , , , , , , , , ,N,M1,8,0,X,CONSERVATIVE SYNAGGET,2581,2350,2350,0,0,0,0,0,0,2350,2,1,2,0,1,25,103.25,25,50, ,2,N,5,0,351450,558450,351450,558450,1900,0,0,Greenwich Village Historic District, ,0.91,3.44,0,6.5,1,1005690038,0,61,985823,206685,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,262.1010724,2630.947703,207000,8,0,12733,12737,12,2700,31.75222206,36.01000214,4.257780075,34.09606584,1.151691777,409.1527901 +12735,MN,991,59,106,62,2000,2,4,10010,E016,13,14,6000,1,6, ,24-50 F D R DRIVE,R8, , , , , , , , , ,N,W8,8,0,C,NYC DSBS,119510,197141,197141,0,197141,0,0,0,0,0,2,1,5,0,1,102.67,619.33,195,376, ,1,Y,2,0,9585000,29826900,9585000,29826900,1950,2008,2008, , ,1.65,6.02,0,6.5,1,1009910059,0,62,991651,207547,12c, ,104 012,10310, ,0, ,1,1,1,17V1.1,0,1595.062703,119171.5245,20241900,11,1,12734,12738,508,114300,5.954555511,11.61666679,5.662111282,8.366034655,1.030785942,4249.945605 +12736,MN,350,79,103,22.01,1002,1,2,10002,L018,7,14,7600,1,3,2A,178 STANTON STREET,R7A, , , , , , , , , ,N,S5,4,0, ,178 STANTON STREET LL,1990,6945,1920,5025,0,1920,0,0,0,0,2,1,5,6,7,20,99.5,20,96,E,2,N,5,5,31697,284153,0,0,1900,2013,2010, , ,3.49,4,0,4,1,1003500079,0,2201,988703,201695,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,246.8484152,2151.605643,252456,1,0,12735,12739,8,1800,21.35555649,21.35555649,0,21.35555649,0,170.8444519 +12737,MN,912,22,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,239 EAST 31 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,KIPS BAY TENANT CORP,1975,6200,0,6200,0,0,0,0,0,0,2,1,4,4,4,20,98.75,20,70, ,3,N,5,2,60812,456300,2360,2360,1900,1969,0, , ,3.14,3,0,3,1,1009120022,0,70,990377,210113,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,239.9127456,1923.432524,395488,10,0,12736,12740,9,2025,26.45000076,29.30444527,2.854444504,26.88246981,0.915397249,241.9422283 +12738,MN,414,24,103,18,7000,2,1,10002,L006,5,14,7400,1,3,2B,93 ALLEN STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,SAVION RLTY CORP,2210,8120,1200,6920,0,1200,0,0,0,0,2,1,5,8,9,25,88.42,25,86,E,3,N,5,2,49063,156384,0,0,1900,1980,0, , ,3.67,4,4,4,1,1004140024,0,18,986725,201121,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.7240382,2375.373928,107321,13,0,12737,12741,11,2475,37.8544426,37.8544426,0,37.8544426,0,416.3988686 +12739,MN,384,27,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,245 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0,P,JD 245 LLC,1600,6950,0,6950,0,0,0,0,0,0,2,1,5,10,10,25.17,62.5,25.17,54, ,0,Y,4,5,34528,150995,0,0,1900,2012,0, , ,4.34,6,0,6,1,1003840027,0,2202,989275,202016,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,183.5007157,1635.49381,116467,1,0,12738,12742,7,1575,17.12444496,17.55377769,0.429332733,17.33546012,0.114767234,121.3482208 +12740,MN,614,50,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,3B,14 BANK STREET,R6, , , , , , , , , ,N,B9,1,0,P,KAUFMAN GENE,730,3650,0,2920,0,0,0,0,0,0,2,1,5,2,2,20,36.5,20,36.5, ,3,N,3,1,36532,102513,0,0,1910,2006,0,Greenwich Village Historic District, ,5,2.43,0,4.8,1,1006140050,0,77,983695,207774,12a, ,103 016,10209, ,1006140050,11/18/1994,1, , ,17V1.1,0,123.2240873,871.0140934,65981,8,0,12739,12743,5,1125,25.32666588,28.54444504,3.21777916,25.97022171,1.287111664,129.8511086 +12741,MN,137,7503,101,21,2001,2,1,10007,L010,1,15,7700,1,1, ,92 WARREN STREET,C6-3A,C6-3, , , , ,TMU, , , ,Y,R4,3,0, , ,4004,26445,0,26445,0,0,0,0,0,0,2,1,13,12,12,48.91,101,49,97, ,0,Y,0,5,177302,3304352,16520,16520,1920,2005,0, , ,6.6,7.52,6,7.5,1,1001377503,1593,21,981292,200001,12a,Y,11S 015,10104, ,1001370013,11/30/2006,1, , ,17V1.1,7,302.1667641,4015.373998,3127050,3,0,12740,12744,19,4275,14.22499943,15.61999989,1.395000458,14.57865454,0.542284706,276.9944363 +12742,MN,421,51,103,36.01,2001,1,1,10002,L018,5,14,6500,1,3,2A,186 FORSYTH STREET,C4-4A, , , , , , , , , ,N,D9,3,0,P,NYSD FORSYTH HOUSINGD,2500,8594,0,8594,0,0,0,0,0,0,2,1,6,21,21,25,100,25,62, ,1,N,5,2,393750,681750,393750,681750,2001,0,0, , ,3.44,4,4,4,1,1004210051,0,3601,986797,202227,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,251.5757556,2481.551528,288000,13,0,12741,12745,12,2700,38.90999985,41.50333405,2.593334198,40.58748182,0.80637353,487.0497818 +12743,MN,283,13,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,133 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0,P,"KUO, LI YING",2517,10400,0,10400,0,0,0,0,0,0,2,1,5,20,20,25.33,100,25,79, ,3,Y,5,2,112500,293400,0,0,1900,1984,0, , ,4.13,3.44,0,6.5,1,1002830013,0,6,986733,199233,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,260.5019501,2670.475485,180900,16,0,12742,12746,11,2475,28.23333359,28.23333359,0,28.23333359,0,310.5666695 +12744,MN,229,22,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,75 GRAND STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,GRAND LOFT CORP,14898,76492,14194,62298,0,3762,0,0,0,0,2,5,6,26,31,160,96,44,96, ,0,Y,5,2,1341000,10519650,16520,16520,1915,0,0,SoHo-Cast Iron Historic District, ,5.13,0,5,6.5,1,1002290022,0,47,983513,202179,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,527.7463664,15883.5797,9178650,0,1,12743,12747,72,16200,9.686666489,13.75622177,4.069555283,9.874854763,0.784876597,710.989543 +12745,MN,529,5,102,55.02,2004,2,1,10012,L009,9,15,5700,1,2,2A,652 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,652 BROADWAY CORP,3770,45240,3200,42040,0,3200,0,0,0,0,2,1,12,17,18,29,130,29,123, ,3,N,5,2,130050,5115150,18880,18880,1908,1980,0,NoHo Historic District, ,12,0,5,6.5,1,1005290005,0,5502,985572,204047,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,329.5870744,3915.880877,4985100,9,0,12744,12748,17,3825,39.92555618,39.93700027,0.011444092,39.93632709,0.002692727,678.9175606 +12746,MN,528,39,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,25 BEDFORD STREET,R6, , , , , , , , , ,N,C3,2,0,P,"SCHNEIDER, ELIZABETHM",1472,3000,0,3000,0,0,0,0,0,0,2,1,4,4,4,19.75,75,19.75,38, ,3,Y,5,5,97356,163497,2360,2360,1800,0,0,Greenwich Village Historic District Exte, ,2.04,2.43,0,4.8,1,1005280039,0,67,983213,204906,12a, ,103 003,10206, ,1005280035,1/6/1994,1, , ,17V1.1,0,193.3024434,1505.286721,66141,9,0,12745,12749,7,1575,15.38333321,15.79399967,0.410666466,15.72971398,0.142059098,110.1079979 +12747,MN,824,53,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,26 WEST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0, ,26 WEST 23RD STREET L,2666,15093,15093,0,12420,2673,0,0,0,0,2,1,6,0,5,27,98.75,27,99,E,3,Y,5,2,540000,2088450,0,0,1920,1988,0,Ladies' Mile Historic District, ,5.66,10,10,10,1,1008240053,0,58,986783,209526,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,254.3495202,2674.659445,1548450,2,0,12746,12750,13,2925,34.46500015,39.14444351,4.679443359,34.82495733,1.246928254,452.7244453 +12748,MN,850,7502,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,936 BROADWAY,M1-5M, , , , , , , , , ,N,RC,5,0, ,OWNER / AGENT,10731,49423,49423,0,34417,7659,0,0,0,7347,2,1,5,0,11,0.24,0,0,0, ,0,N,5,5,2300401,10646102,411971,1830624,1900,0,0, , ,4.61,0,5,6.5,1,1008507502,243,56,987263,208968,8d, ,102 044,10306, ,1008500068,12/14/1985,1, , ,17V1.1,7,431.536375,11415.51097,8345700,11,0,12747,12751,51,11475,35.59999847,42.09444427,6.494445801,36.78749339,2.328504268,1876.162163 +12749,MN,798,62,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,134 WEST 23 STREET,C6-3X, , , , , , , , , ,N,S3,4,0, ,GRENDEL CO,1852,5346,1850,3496,0,1850,0,0,0,0,2,1,4,3,4,18.75,98.75,18.75,98.75,E,3,N,5,5,170399,394093,0,0,1910,0,0, , ,2.89,9,6,9,1,1007980062,0,91,985844,210045,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,237.9491152,1854.300976,223694,2,0,12748,12752,9,2025,28.16444397,31.20888901,3.044445038,28.50271564,0.956776769,256.5244408 +12750,MN,829,72,105,58,1001,2,3,10001,E001,13,15,5700,1,5,1B,52 WEST 28 STREET,C6-4X, , , , , , , , , ,N,L9,6,0, ,52-28 STREET NEW YORK,987,3780,3780,0,0,900,0,2880,0,0,2,1,4,0,4,20,49.33,20,48,E,3,N,5,2,225000,642600,0,0,1915,0,0, , ,3.83,10,10,10,1,1008290072,0,58,986974,210963,8d, ,104 002,10306,E-66,0, ,1, , ,17V1.1,0,139.9300907,941.8660971,417600,2,0,12749,12753,3,675,42.75111008,42.75111008,0,42.75111008,0,128.2533302 +12751,MN,141,23,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,182 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0,P,182 STELEN REALTY CO.,3192,14000,3500,10500,0,3500,0,0,0,0,2,1,5,4,6,24.92,127.83,24.92,127.83, ,0,Y,5,5,249972,741202,0,0,1915,2008,0,Tribeca West Historic District, ,4.39,6.02,6,6.5,1,1001410023,0,39,981445,200528,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,305.9955271,3006.809585,491230,14,0,12750,12754,14,3150,16.8029995,17.15555573,0.352556229,16.82818208,0.090797111,235.5945492 +12752,MN,591,43,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,323 BLEECKER STREET,C1-6, , , , , , , , , ,N,C7,4,0, ,323-325 BLEECKER REAL,3307,12418,3307,9111,0,3307,0,0,0,0,2,1,6,20,22,40,80,40,66, ,3,Y,5,2,450000,2608650,0,0,1900,1988,0,Greenwich Village Historic District, ,3.76,3.44,2,6.5,1,1005910043,0,73,983157,206432,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,235.2389097,3163.203936,2158650,9,0,12751,12755,13,2925,23.46111107,23.46111107,0,23.46111107,0,304.9944439 +12753,MN,377,53,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,269 EAST 7 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"BAUMBACH, JAMES",2169,3657,0,3657,0,0,0,0,0,0,2,1,3.5,5,5,22.25,97.5,22,56,E,3,N,5,5,4491,28145,2360,2360,1900,0,0, , ,1.69,4,0,4,1,1003770053,0,2602,990585,202904,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,244.6091961,2273.884912,23654,12,1,12752,12756,10,2250,8.156999588,11.00555515,2.848555565,9.091755295,1.234015768,90.91755295 +12754,MN,592,16,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,106 WEST WASHINGTON PLCE,R7-2,R6, , ,C1-5, , , , , ,Y,C0,2,0, ,106 WASHINGTON PLACE,1575,3529,0,2647,0,0,0,0,0,0,2,1,3.5,3,3,21,75,21,42, ,3,N,5,1,30771,161308,0,0,1899,2012,0,Greenwich Village Historic District, ,2.24,3.44,0,6.5,1,1005920016,0,71,983955,206097,12a,Y,103 005,10208, ,0, ,1, , ,17V1.1,0,202.7845287,1713.236486,130537,9,0,12753,12757,8,1800,17.50333405,18.17333221,0.669998169,17.66027808,0.272653565,141.2822247 +12755,MN,860,71,105,74,3001,2,4,10016,L024,14,15,5200,1,5,1A,18 EAST 31 STREET,C5-2, , , , , , , , , ,N,H2,5,0, ,LE MARQUIS ASSOCIATES,1575,7875,0,0,0,0,0,0,0,0,2,1,5,0,1,21,75,21,75,E,3,N,5,2,252000,2375550,0,0,1930,2011,2011, , ,5,10,10,10,1,1008600071,0,74,988386,211050,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,195.6790949,1568.141774,2123550,10,0,12754,12758,7,1575,37.50888824,37.50888824,0,37.50888824,0,262.5622177 +12756,MN,447,47,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,323 EAST 5 STREET,R8B, , , , , , , , , ,N,Y2,8,0,C,POLICE DEPARTMENT,4850,42235,42235,0,0,0,0,0,0,42235,2,1,6,0,1,50,97,50,96, ,3,N,5,2,490500,6232050,490500,6232050,2004,1983,0, , ,8.71,4,0,4,1,1004470047,0,38,987624,203977,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,299.5113921,4942.136598,5741550,1,0,12755,12759,21,4725,27.01499939,31.23999977,4.225000381,27.36357089,1.088426492,574.6349888 +12757,MN,632,45,102,75,3002,2,3,10014,L005,6,15,6400,1,2,2K,731 GREENWICH STREET,R6,C1-6, , , , , , , , ,Y,C6,2,0, ,GREENWICH PERRY ST HO,10000,23398,0,23398,0,0,0,0,0,0,2,10,4,56,56,94,108,25,43, ,0,Y,3,5,774000,2542050,72075,72075,1911,1988,0,Greenwich Village Historic District, ,2.34,2.43,0,4.8,1,1006320045,0,75,982382,206993,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,410.9046229,9901.777041,1768050,9,0,12756,12760,45,10125,19.34666634,21.40444374,2.057777405,19.50686395,0.424813113,877.8088779 +12758,MN,399,7501,103,32,5000,1,2,10009,E028,9,14,6600,3,3, ,50 AVENUE A,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,4800,12299,2300,9999,0,2300,0,0,0,0,2,1,4,17,18,48,100,0,0, ,0,N,5,5,285750,2729700,4720,4720,1920,0,0, , ,2.56,4,0,4,1,1003997501,602,32,988468,202988,12c, ,102 012,10203, ,1003990004,3/10/1989,1, , ,17V1.1,7,303.5898797,5088.68253,2443950,1,0,12757,12761,23,5175,18.04222298,24.40999985,6.367776871,18.58478331,1.758503647,427.450016 +12759,MN,588,59,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,94 CHRISTOPHER STREET,C1-6, , , , , , , , , ,N,S3,4,0, ,"GHS,",1370,3148,452,2696,0,452,0,0,0,0,2,1,4,3,4,19,74.92,19,54, ,3,Y,5,5,189886,440190,0,0,1910,0,0,Greenwich Village Historic District, ,2.3,3.44,2,6.5,1,1005880059,0,73,983000,206397,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,190.2916885,1443.508351,250304,9,0,12758,12762,7,1575,20.90555573,23.18655586,2.281000137,21.23141289,0.798183777,148.6198902 +12760,MN,544,7502,102,57,2004,2,2,10003,E033,9,15,5700,2,2, ,443 LAFAYETTE STREET,C6-2,M1-5B, , , , , , , , ,Y,RM,4,0,X, ,17837,141946,25411,116535,0,20317,5094,0,0,0,2,1,22,39,42,114.67,159.42,159,113, ,0,Y,0,5,1575000,26877600,1575000,26877600,2004,0,0, , ,7.96,6.02,6,6.5,1,1005447502,1496,57,986679,205058,12c, ,103 024,10207, ,1005440022,12/8/2005,1, , ,17V1.1,7,560.1996664,18940.30169,25302600,12,0,12759,12763,84,18900,40.7820015,43.29666519,2.514663696,41.21646513,0.770251852,3462.183071 +12761,MN,387,144,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,637 EAST 5 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C9,2,0,O,NEW YORK CITY HSG AUT,19776,18972,0,18972,0,0,0,0,0,0,2,1,3,24,24,203.83,97,186,37, ,1,N,5,2,540000,1860300,540000,1860300,1989,0,0, , ,0.96,4,0,4,1,1003870144,0,2601,989703,202824,12c, ,102 013,10203, ,1003870148,3/3/1989,1, ,1,17V1.1,0,602.9603181,20084.81203,1320300,1,1,12760,12764,91,20475,9.102222443,13.1833334,4.081110954,11.938375,0.691364808,1086.392125 +12762,MN,618,63,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,247 WEST 13 STREET,C1-6,R6, , , , , , , , ,Y,A4,1,0, ,JAMES C. HAYS 2008 IR,2051,5183,0,4167,0,0,0,0,0,0,2,1,5,1,1,20.83,103.25,20.83,45, ,3,Y,5,1,108173,351079,0,0,1899,2013,0,Greenwich Village Historic District, ,2.53,3.44,2,6.5,1,1006180063,0,77,983697,208471,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,249.7680162,2162.862157,242906,8,0,12761,12765,10,2250,22.30444527,22.30444527,0,22.30444527,0,223.0444527 +12763,MN,587,66,102,67,4000,2,3,10014,E024,6,15,6400,1,2,2B,17 COMMERCE STREET,C2-6, , , , , , , , , ,N,A4,1,0,P,"BWLOW, LLC",760,951,0,951,0,0,0,0,0,0,2,1,2.5,1,1,19.83,40,19.83,25, ,3,Y,5,2,39590,114048,0,0,1899,0,0,Greenwich Village Historic District, ,1.25,3.44,2,6.5,1,1005870066,0,67,983054,205910,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,123.6201463,849.1609256,74458,9,0,12762,12766,3,675,17.76222229,17.76222229,0,17.76222229,0,53.28666687 +12764,MN,823,31,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,7 WEST 21 STREET,C6-4A, , , , , , , , , ,N,D8,3,0, ,7 WEST 21 LLC,24000,347000,46211,300789,0,8211,38000,0,0,0,2,1,18,290,293,106,206.5,137,197.8,G,1,Y,4,1,3852000,10010700,0,0,2014,2013,0,Ladies' Mile Historic District, ,14.46,10,10,10,1,1008230031,0,58,986708,209222,8d, , , ,R-26,0, ,1, , ,17V1.1,0,677.0658922,24437.7145,6158700,7,0,12763,12767,109,24525,33.74333191,43.00222397,9.258892059,41.0152548,1.647382342,4470.662773 +12765,MN,176,16,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,177 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,O5,5,0, ,"SHILOH COMPANY, LLC",1312,3951,3951,0,2651,1300,0,0,0,0,2,1,3,0,2,22.17,59.33,22,59, ,2,Y,5,2,142200,467100,0,0,1915,0,0, , ,3.01,6.02,6,6.5,1,1001760016,0,33,982283,200805,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,170.5797448,1438.679269,324900,14,1,12764,12768,6,1350,11.875,14.40400028,2.529000282,12.57722235,1.022588662,75.46333408 +12766,MN,344,41,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,114 RIDGE STREET,R7A, , , , , , , , , ,N,D6,4,0,P,110 RIDGE ST VENTURE,5373,27109,8352,18757,8352,0,0,0,0,0,2,1,7,23,27,42.5,100,42.5,50, ,3,Y,5,2,675000,2376450,0,0,2003,2011,0, , ,5.05,4,0,4,1,1003440041,0,2201,988981,201182,12c, ,102 005,10201, ,1003440040,3/29/2005,1, , ,17V1.1,0,334.093901,5516.073077,1701450,1,0,12765,12769,24,5400,17.05666733,22.6566658,5.599998474,17.78140775,1.439629632,426.7537861 +12767,MN,506,16,102,37,3001,2,3,10014,E024,1,15,6800,1,2,1B,30 CHARLTON STREET,R6, , , , , , , , , ,N,D1,3,0, ,"LDJ HOLDING CORP., A",10045,44256,0,44256,0,0,0,0,0,0,2,1,6,86,86,100.33,100.08,100,83, ,3,Y,5,2,904500,5711400,0,0,1920,1987,0,Charlton-King-Vandam Historic District, ,4.41,2.43,0,4.8,1,1005060016,0,37,983015,204079,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,402.1432748,10103.75364,4806900,0,0,12766,12770,46,10350,20.62700081,21.85777855,1.23077774,20.65375685,0.179484958,950.0728149 +12768,MN,906,47,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,214 EAST 26 STREET,R8B, , , , , , , , , ,N,S1,4,0, ,DORIA STEEDMAN,2123,4362,2126,2236,0,0,645,0,0,1481,2,1,3,1,2,21.5,98.75,21.5,98.9,E,3,N,5,5,91719,103680,1550,1550,1845,0,0, , ,2.05,4,0,4,1,1009060047,0,66,989506,208946,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,247.4084882,2174.619755,11961,11,0,12767,12771,11,2475,30.96199989,38.64333344,7.681333542,31.98464636,2.339931203,351.83111 +12769,MN,640,57,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,790 GREENWICH STREET,R6, , , , , , , , , ,N,K4,4,0, ,"GREENWICH ASSOCIATES,",6011,24212,13536,10676,0,13536,0,0,0,0,2,2,4,6,7,72.42,83,72.42,83, ,3,N,5,0,2475000,5138100,0,0,1920,1989,0,Greenwich Village Historic District, ,4.03,2.43,0,4.8,1,1006400057,0,79,982377,207851,12a, ,103 013,10210, ,1006400057,12/6/1999,1, , ,17V1.1,0,457.050037,12101.14229,2663100,8,0,12768,12772,50,11250,11.96800041,11.96844482,0.000444412,11.9680093,6.22E-05,598.400465 +12770,MN,552,7504,102,65,1001,2,1,10011,L009,6,15,5700,2,2, ,88 WEST WASHINGTON PLCE,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,9750,40439,17163,23276,8942,7856,0,365,0,0,2,1,6,28,30,131.99,79.33,131,79, ,0,Y,0,5,1138500,11409302,3160,6793,1966,2006,0,Greenwich Village Historic District, ,4.15,3.44,0,6.5,1,1005527504,1660,65,984135,205950,12c, ,103 018,10207, ,1005520005,6/8/2007,1, , ,17V1.1,7,409.2740898,9674.789568,10270800,9,0,12769,12773,43,9675,17.50333405,17.50333405,0,17.50333405,0,752.643364 +12771,MN,563,24,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,36 EAST 12 STREET,C6-1, , , , , , , , , ,N,O6,5,0, ,LEGOV REALTY CORP,5163,32241,32241,0,27941,4300,0,0,0,0,2,1,7,0,7,50,103.25,50,103,E,3,N,5,2,504000,2538900,0,0,1900,0,0, , ,6.24,3.44,6,6.5,1,1005630024,0,61,986420,206477,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,322.9051389,5638.833641,2034900,8,0,12770,12774,24,5400,36.55666733,41.76222229,5.205554962,37.2496206,0.946637186,893.9908943 +12772,MN,897,16,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,221 EAST 15 STREET,R7B, , , , , , , , , ,N,W7,8,0,X,SOCIETY OF FRIENDS,35220,55615,55615,0,0,0,0,0,0,55615,2,3,4.75,0,1,158.83,206.5,152,176, ,2,Y,3,2,3321900,6675300,3321900,6675300,1964,1988,0,Stuyvesant Square Historic District,FRIENDS MEETING HOUSE AND FRIENDS S,1.58,3,0,3,1,1008970016,0,48,988308,206638,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,781.600543,35561.76653,3353400,5,0,12771,12775,158,35550,27.7444458,31.9711113,4.226665497,28.69093055,1.31498534,4533.167027 +12773,MN,453,1,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,174 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,174 SECOND EQUITIESCP,2575,12059,2300,9759,0,2300,0,0,0,0,2,3,5,13,16,25.75,100,26,94,E,2,N,3,2,646650,1874700,0,0,1900,0,0, , ,4.68,4,0,4,1,1004530001,0,40,988132,205363,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,262.3257763,2778.374625,1228050,12,0,12772,12776,14,3150,26.65699959,30.02666664,3.369667053,26.95329326,0.875523208,377.3461056 +12774,MN,793,50,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,118 WEST 18 STREET,C6-2A, , , , , , , , , ,N,F9,6,0, ,118 W. 18TH STREET RE,1863,3402,3402,0,1700,0,0,0,1702,0,2,1,2,0,1,20.25,92,20,80, ,3,N,5,0,94500,281250,0,0,1920,1960,0, , ,1.83,6.02,6,6.5,1,1007930050,0,81,985358,208892,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,229.2668242,1959.024332,186750,7,0,12773,12777,8,1800,27.66555595,27.66555595,0,27.66555595,0,221.3244476 +12775,MN,410,11,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,85 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,ORCHARD STREET HOLDIN,2500,13049,2000,11049,0,2000,0,0,0,0,2,1,6,15,21,25,100,24,100,E,2,N,3,2,180000,2352600,0,0,1920,1988,0, , ,5.22,4,4,4,1,1004100011,0,18,987274,201622,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,261.1279003,2835.230304,2172600,13,0,12774,12778,12,2700,33.47900009,36.35222244,2.873222351,34.10200946,1.088109297,409.2241135 +12776,MN,753,39,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,391 8 AVENUE,C6-3X, , , , , , , , , ,N,S4,4,0,P,391 8TH AVE LLC,1470,4400,1400,3000,0,1400,0,0,0,0,2,1,4,4,5,21,70,21,45,E,0,N,5,5,200017,463289,0,0,1910,1985,0, , ,2.99,9,6,9,1,1007530039,0,97,985408,212313,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,191.2248158,1489.338771,263272,6,0,12775,12779,6,1350,28.20800018,28.20800018,0,28.20800018,0,169.2480011 +12777,MN,738,64,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,344 WEST 15 STREET,R8B, , , , , , , , , ,N,C5,2,0,P,"344 WEST 15,",1528,3166,1000,2166,0,1000,0,0,0,0,2,1,3,8,9,18.75,81.5,19,38, ,3,N,5,1,18057,169417,0,0,1900,0,0, , ,2.07,4,0,4,1,1007380064,0,83,983189,209237,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,210.1014176,1593.327862,151360,7,0,12776,12780,8,1800,16.15333366,18.76222229,2.608888626,17.02375007,1.133057516,136.1900005 +12778,MN,189,10,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,156 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,156 FRANKLIN COOPERAT,2202,14460,0,14460,0,0,0,0,0,0,2,1,7,8,8,25.17,87.5,25,87,E,3,N,5,2,134916,355342,0,0,1910,1994,0,Tribeca West Historic District, ,6.57,6.02,6,6.5,1,1001890010,0,33,982029,201386,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,236.1517234,2383.29063,220426,14,1,12777,12781,10,2250,10.17444515,10.17444515,0,10.17444515,0,101.7444515 +12779,MN,215,7501,101,39,1020,2,1,10013,L008,1,15,7700,3,1, ,153 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5475,29572,6229,23343,0,6229,0,0,0,0,2,1,6,7,8,0.12,0,0,0, ,0,N,5,5,297843,2480394,2360,2360,1920,0,0,Tribeca North Historic District, ,5.4,6.02,6,6.5,1,1002157501,1078,39,981850,202167,12a, ,101N040,10105, ,1002150023,12/24/1999,1, , ,17V1.1,7,328.2443489,5748.844534,2182550,14,0,12778,12782,26,5850,14.9659996,15.8706665,0.904666901,15.06870904,0.284424464,391.7864351 +12780,MN,275,25,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,36 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,LEES BROTHER REALTYCO,1930,7595,1567,6028,0,1567,0,0,0,0,2,1,5,8,9,22.25,86.75,22,74, ,3,N,5,2,27063,242218,0,0,1910,1986,0, , ,3.94,3.44,0,6.5,1,1002750025,0,8,985877,198883,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,221.1845401,1923.566847,215155,16,0,12779,12783,6,1350,30.54333305,30.54333305,0,30.54333305,0,183.2599983 +12781,MN,142,13,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,29 HARRISON STREET,C6-4, , , , , , , , , ,N,A9,1,0,P,PEARL LEE CHIN REVOCA,998,2660,0,1900,0,0,0,0,0,0,2,1,2,1,1,19.5,51.17,19.5,33, ,2,N,5,1,46688,95491,1550,1550,1960,0,0, ,29 HARRISON STREET HOUSE,2.67,10,10,10,1,1001420013,0,39,981229,201113,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,0,141.2269707,1027.242883,48803,14,0,12780,12784,4,900,14.25300026,14.25300026,0,14.25300026,0,57.01200104 +12782,MN,164,62,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,20 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,JAMAY LIMITED PARTNER,7021,19166,4815,14351,0,4815,0,0,0,0,2,5,5,26,32,80.75,91.75,26,42, ,3,Y,5,5,315900,1943550,0,0,1900,1983,0, , ,2.73,3.44,6,6.5,1,1001640062,0,29,984433,199469,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,346.282207,7410.125111,1627650,16,0,12781,12785,30,6750,25.58300018,25.58300018,0,25.58300018,0,767.4900055 +12783,MN,592,50,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,164 WAVERLY PLACE,R6, , , , , , , , , ,N,C1,2,0, ,164 WAVERLY PLACE LLC,4190,18024,0,18024,0,0,0,0,0,0,2,1,6,26,26,43.67,97,44,85, ,3,Y,5,2,391050,2025450,0,0,1900,1987,0,Greenwich Village Historic District, ,4.3,2.43,0,4.8,1,1005920050,0,71,983815,206479,12a, ,103 017,10208, ,0, ,1, , ,17V1.1,0,276.652574,4190.745411,1634400,9,0,12782,12786,19,4275,17.50333405,17.50333405,0,17.50333405,0,332.5633469 +12784,MN,212,7501,101,33,3011,2,1,10013,L008,1,15,7700,3,1, ,260 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,260 WEST BROADWAY CON,13063,98583,8335,90248,5628,2707,0,0,0,0,2,1,11,54,57,75.67,131.93,75,96, ,3,Y,3,5,2012414,13731540,230968,1322409,1894,0,0, , ,7.55,6.02,6,6.5,1,1002127501,44,33,982677,201790,12a, ,101N041,10105, ,0, ,1,1,1,17V1.1,7,516.7425908,13355.05192,11719100,14,1,12783,12787,59,13275,9.686666489,9.686666489,0,9.686666489,0,571.5133228 +12785,MN,611,27,102,73,6003,2,3,10014,Q018,6,15,6400,1,2,2K,190 WAVERLY PLACE,C2-6, , , , , , , , , ,N,D5,3,0, ,190 WAVERLY PLACE LLC,5650,25075,3000,22075,0,0,0,0,0,3000,2,1,5,30,31,75.33,75,75,58, ,3,N,5,2,389700,2473650,0,0,1926,1988,0,Greenwich Village Historic District, ,4.44,3.44,2,6.5,1,1006110027,0,73,983789,206938,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,310.8781035,6035.954541,2083950,8,0,12784,12788,27,6075,21.29555511,22.38000107,1.084445953,21.37242762,0.272081974,577.0555458 +12786,MN,448,3,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,108 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,O5,5,0, ,SELF-RELIANCE NY FED,3250,11924,11924,0,9454,0,0,2470,0,0,2,1,5,0,1,26,125,26,92, ,3,N,5,2,438750,1067850,0,0,1920,2003,2003,East Village/Lower East Side Historic Di, ,3.67,4,0,4,1,1004480003,0,38,987567,204318,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,304.5109639,3316.293239,629100,1,0,12785,12789,14,3150,27.1590004,34.60866547,7.44966507,27.69111933,1.9185821,387.6756706 +12787,MN,862,24,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,153 MADISON AVENUE,C5-2, , , , , , , , , ,N,D4,3,0, ,159 MADISON HOLDING C,9875,111227,11500,99727,0,11500,0,0,0,0,2,1,12,118,119,98.75,100,99,95, ,2,N,3,2,1800000,13477950,80240,80240,1912,1986,0, , ,11.26,10,10,10,1,1008620024,0,74,988824,211264,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,418.9655281,10967.53142,11678000,10,0,12786,12790,48,10800,40.45000076,43.31222153,2.862220764,40.7723848,0.766493087,1957.074471 +12788,MN,511,8,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,584 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0, ,"584 BROADWAY, L L C",18950,254822,254822,0,244205,10617,0,0,0,0,2,1,12,0,101,102,200.17,102,200, ,3,N,5,2,4266000,46785150,0,0,1900,2014,0,SoHo-Cast Iron Historic District, ,13.45,0,5,6.5,1,1005110008,0,43,985111,203267,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,609.0244673,19746.08917,42519200,9,0,12787,12791,87,19575,36.82110977,41.92444611,5.103336334,36.88555939,0.544731409,3209.043667 +12789,MN,770,26,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,225 WEST 20 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"225 WEST 20TH STREET,",1944,7475,0,7475,0,0,0,0,0,0,2,1,5,10,10,25,77.75,25,68, ,3,Y,5,2,142987,669078,0,0,1901,1984,0, , ,3.85,4,0,4,1,1007700026,0,87,984778,209932,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,209.6061994,2016.764807,526091,7,0,12788,12792,10,2250,22.20999908,22.58011055,0.370111465,22.27801037,0.13668504,222.7801037 +12790,MN,407,46,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,529 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,529 EAST 13 RTY CORP,2581,10081,0,10081,0,0,0,0,0,0,2,1,5,12,12,25,103.25,25,103, ,2,N,5,2,180000,1039500,0,0,1900,1985,0, , ,3.91,4,2,4,1,1004070046,0,34,989964,205000,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,258.9933927,2554.301403,859500,12,1,12789,12793,11,2475,11.62699986,11.62699986,0,11.62699986,0,127.8969984 +12791,MN,399,51,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,173 EAST 3 STREET,R8B, , , , , , , , , ,N,M3,8,0,P,REDEMPTORIST OF FATHE,3408,13632,13632,0,0,0,0,0,0,13632,2,1,4,0,1,23,148.17,23,148, ,3,N,5,2,141300,361800,141300,361800,1900,1988,0, , ,4,4,0,4,1,1003990051,0,32,0,0,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,358.1382094,3655.886929,220500,1,0,12790,12794,16,3600,18.04222298,22.16666603,4.124443054,18.54963946,1.150838845,296.7942314 +12792,MN,617,34,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,106 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,STEIN REALTY LLC,2137,4843,1200,3643,0,1200,0,0,0,0,2,2,4,8,10,40,56.5,40,53,E,3,Y,5,2,98040,731328,0,0,1900,2009,2009,Greenwich Village Historic District, ,2.27,3.44,2,6.5,1,1006170034,0,77,983726,208250,8b, ,103 031,10209, ,0, ,1, , ,17V1.1,0,197.2249269,2217.165037,633288,8,0,12791,12795,10,2250,23.28222275,23.28222275,0,23.28222275,0,232.8222275 +12793,MN,174,11,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3A,69 LEONARD STREET,C6-2A, , , , , , , , , ,N,D5,3,0,P,251 CHURCH STREET LLC,2885,14425,2000,12425,0,2000,0,0,0,0,2,1,5,5,7,25,75,25,75, ,3,Y,4,2,246128,1551312,0,0,1910,1998,0,Tribeca East Historic District, ,5,6.02,6,6.5,1,1001740011,0,33,982776,200764,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,291.9917551,3155.331884,1305180,14,0,12792,12796,15,3375,21.5755558,21.5755558,0,21.5755558,0,323.633337 +12794,MN,440,31,103,34,4001,1,2,10009,L011,9,14,6200,1,3,4A,448 EAST 13 STREET,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,446-48 EAST 13 STREET,2600,10400,2000,8400,0,1500,0,0,0,0,2,2,4,12,15,26,100,26,75, ,0,N,3,2,166950,677250,166950,430857,1900,1986,0, , ,4,4,0,4,1,1004400031,0,34,989458,205143,12c, ,102 028,10205, ,0, ,1, , 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,17V1.1,0,261.3394646,2712.476942,2067750,8,0,12795,12799,12,2700,16.45777702,17.10222244,0.644445419,16.51148081,0.178115304,198.1377697 +12797,MN,398,45,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,188 EAST 2 STREET,R8B, , , , , , , , , ,N,E1,6,0, ,STUYVESANT REAL PROPE,2544,2544,2544,0,0,0,0,0,2544,0,2,1,1,0,1,24,106,24,106, ,3,N,5,0,88650,391950,0,0,1951,0,0, , ,1,4,0,4,1,1003980045,0,3002,988668,202516,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,266.2003043,2585.595123,303300,1,0,12796,12800,12,2700,19.43000031,19.43000031,0,19.43000031,0,233.1600037 +12798,MN,834,21,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,37 WEST 32 STREET,C6-4, , , , , , , , , ,N,K4,4,0, ,ARX AA LLC,2469,10163,8100,2063,3150,4950,0,0,0,0,2,1,5,0,5,25,98.75,25,99,E,3,N,5,2,1350000,2267550,0,0,1915,2010,0, , ,4.12,10,10,10,1,1008340021,0,76,987795,211834,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,251.4122249,2470.372605,917550,10,0,12797,12801,10,2250,45.84899902,45.84899902,0,45.84899902,0,458.4899902 +12799,MN,539,23,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,221 THOMPSON STREET,R7-2, , , , , , , , , ,N,G1,10,0, ,221 THOMPSON LLC,11200,32480,32480,0,480,0,32000,0,0,0,2,1,3,0,2,112,100,112,100, ,3,N,5,2,792000,3157650,0,0,1918,0,0,South Village Historic District, ,2.9,3.44,0,6.5,1,1005390023,0,65,984473,205004,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,428.5199859,11449.14244,2365650,9,0,12798,12802,50,11250,25.23555565,27.14666748,1.911111832,25.27377789,0.267555656,1263.688894 +12800,MN,793,7501,104,81,1000,2,3,10011,L012,13,15,5600,1,4, ,112 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,113 WEST 17TH ST CORP,12382,58705,9000,49705,0,9000,0,0,0,0,2,1,6,35,36,0.28,0,0,0, ,0,N,5,5,1003956,9992702,18880,18880,1911,1981,0, , ,4.74,6.02,6,6.5,1,1007937501,69,81,985308,208801,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,7,574.1662942,12705.64252,8988750,7,0,12799,12803,57,12825,27.66555595,31.53999901,3.874443054,27.78253448,0.599132115,1583.604465 +12801,MN,293,1,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,8 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,G1,10,0,P,DAI FUNG RLTY CORP,16099,2652,2652,0,0,0,2652,0,0,0,2,3,1,0,1,22.08,88.67,22.08,64.5, ,0,Y,4,5,256950,426600,0,0,1940,0,0, , ,0.16,3.44,6,6.5,1,1002930001,0,16,986054,199583,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,566.1647545,9910.814186,169650,16,0,12800,12804,45,10125,38.23899841,42.60666656,4.367668152,39.15572018,1.310082562,1762.007408 +12802,MN,445,44,103,38,4000,1,2,10003,E028,9,14,6500,1,3,3B,85 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"85 E. 3RD ASSOCIATES,",2404,9355,175,9180,175,0,0,0,0,0,2,1,5,20,22,25,96.17,25,84, ,3,N,5,1,200250,843300,0,0,1910,1985,0, , ,3.89,4,0,4,1,1004450044,0,38,987565,203432,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,250.2224807,2561.472335,643050,1,0,12801,12805,12,2700,29.97444344,29.97444344,0,29.97444344,0,359.6933212 +12803,MN,399,41,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,191 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,191 EAST 3RD ST HSNGE,4616,18598,1200,17398,0,1200,0,0,0,0,2,1,6,12,15,48,96.17,48,83, ,0,N,5,5,360000,1689750,0,1200579,1900,1990,0, , ,4.03,4,0,4,1,1003990041,0,32,988852,202719,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,292.8301174,4692.319307,1329750,1,0,12802,12806,21,4725,18.04222298,18.04222298,0,18.04222298,0,378.8866825 +12804,MN,483,38,102,45,1002,2,1,10013,E055,5,15,6800,1,2,1A,438 BROOME STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,4 ARTS COOPERATIVE CO,3357,14253,1100,13153,0,1100,0,0,0,0,2,1,5,7,8,29.17,118.5,28,108, ,3,N,5,2,163279,766400,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,4.25,0,5,6.5,1,1004830038,0,45,984470,202237,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,288.8631378,3364.003671,603121,0,0,12803,12807,14,3150,24.68222237,24.68222237,0,24.68222237,0,345.5511131 +12805,MN,507,47,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,234 BOWERY,C6-1, , , , , ,LI, , , ,N,K9,5,0,P,F & R REALTY ASSOCIAT,1100,3168,3168,0,0,1584,0,0,0,1584,2,1,3,0,1,17.08,73.06,17,40,E,3,Y,5,2,112500,558450,0,0,1900,0,0, , ,2.88,3.44,6,6.5,1,1005070047,0,43,986049,202539,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,198.6004674,1395.560555,445950,0,0,12804,12808,6,1350,46.38299942,46.38299942,0,46.38299942,0,278.2979965 +12806,MN,106,6,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1,1B,268 WATER STREET,C6-2A, , , , , ,LM, , , ,N,S2,4,0, ,"LAISTER, WENDY",2924,5544,2544,3000,0,0,0,2544,0,0,2,1,3,2,3,26.67,110,26.67,110, ,0,N,5,2,66203,119798,0,0,1900,2015,0,South Street Seaport Historic District E, ,1.9,6.02,6,6.5,1,1001060006,0,1501,983837,197486,12b, ,101S023,10103, ,0, ,1,1,1,17V1.1,0,272.9983205,2692.642638,53595,4,1,12805,12809,12,2700,9.201000214,10.415555,1.214554787,9.302213113,0.33568521,111.6265574 +12807,MN,719,36,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,405 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,C6,2,0, ,CHELSEA GARDENS INC,1980,6072,0,6072,0,0,0,0,0,0,2,1,4,12,12,22,90,22,66,E,3,N,5,1,82800,622800,0,0,1900,1976,0,Chelsea Historic District, ,3.07,3,0,3,1,1007190036,0,89,983529,210913,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,229.0080857,2048.318165,540000,7,1,12806,12810,9,2025,9.307999611,16.70999908,7.401999474,10.75609832,2.741118943,96.80488491 +12808,MN,693,64,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,154 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,O7,5,0, ,WEST CHELSEA PARTNERS,9850,29600,29600,0,29600,0,0,0,0,0,2,1,3,0,1,100,100,98.67,100, ,2,Y,3,2,531900,5431500,0,0,1920,1983,2013, , ,3.01,7.52,6,10,1,1006930064,0,99,982221,211756,8b, ,103 044,10301,E-142,1006939064,10/17/2012,1,1,1,17V1.1,0,408.5220038,10588.97086,4899600,7,1,12807,12811,47,10575,6.691111088,6.691111088,0,6.691111088,0,314.4822211 +12809,MN,921,41,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,342 EAST 15 STREET,R8A, , , , , , , , , ,N,C1,2,0, ,15TH ASSOCIATES LLC,4337,17790,0,17790,0,0,0,0,0,0,2,1,6,24,24,42,103.25,42,90, ,3,N,5,2,202050,1696950,0,0,1910,1986,0, , ,4.1,6,0,6,1,1009210041,0,48,988983,206016,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,295.0651679,4404.388564,1494900,5,0,12808,12812,18,4050,21.21777725,21.21777725,0,21.21777725,0,381.9199905 +12810,MN,523,46,102,55.01,1004,2,1,10012,L009,6,15,5700,1,2,2A,625 BROADWAY,C6-2, , , , , , , , , ,N,O6,5,0, ,"625 BROADWAY VENTURE,",6800,78958,78958,0,72641,6317,0,0,0,0,2,1,12,0,13,34,200,34,190, ,3,Y,4,1,1530000,10912500,0,0,1896,2012,2013,NoHo Historic District, ,11.61,6.02,6,6.5,1,1005230046,0,5501,985149,203837,12c, ,103 009,10206, ,0, ,1, , ,17V1.1,0,492.7273467,7189.315019,9382500,9,0,12809,12813,31,6975,35.67444611,38.02000046,2.345554352,35.77466817,0.43142187,1109.014713 +12811,MN,587,11,102,67,4003,2,3,10014,E024,6,15,6400,1,2,2B,24 COMMERCE STREET,C2-6,R6, , , , , , , , ,Y,A9,1,0, ,STANLEY S SIMBONIS,952,1160,0,1160,0,0,0,0,0,0,2,1,2.5,1,1,16.67,57.25,16.67,30,E,2,Y,5,2,21220,82944,5690,5690,1821,0,0,Greenwich Village Historic District, ,1.22,3.44,2,6.5,1,1005870011,0,67,983003,205797,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,152.5916713,996.2541112,61724,9,0,12810,12814,3,675,15.94888878,15.94888878,0,15.94888878,0,47.84666634 +12812,MN,720,7503,104,93,7000,2,3,10011,E003,10,15,5200,1,4, ,455 WEST 22 STREET,R7B, , , , , , , , , ,N,R1,2,0, ,PURSPACE 1 CONDO ASSO,1646,4591,0,4591,0,0,0,0,0,0,2,1,4.5,4,4,16.67,98.75,16.67,50, ,0,N,0,5,32260,487499,2360,244198,1910,2006,0,Chelsea Historic District Extension, ,2.79,3,0,3,1,1007207503,1889,93,983320,211331,8b, ,15S 005,10302, ,1007200020,6/6/2008,1, ,1,17V1.1,7,221.2332955,1542.963602,455239,2,1,12811,12815,7,1575,9.369999886,9.369999886,0,9.369999886,0,65.5899992 +12813,MN,446,1,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,72 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,D5,3,0, ,LESAGA LLC,2400,16200,4440,11760,0,4440,0,0,0,0,2,1,6,5,6,24,100,24,98, ,2,Y,3,5,163657,499648,0,0,1929,1994,0,East Village/Lower East Side Historic Di, ,6.75,4,0,4,1,1004460001,0,38,987284,203834,12c, ,102 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,17V1.1,7,223.4326494,3059.300831,668585,14,0,12822,12826,14,3150,23.54111099,23.54111099,0,23.54111099,0,329.5755539 +12824,MN,912,13,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,221 EAST 31 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,ASH REALTY GROUP LTD.,1580,3308,0,3308,0,0,0,0,0,0,2,1,4,2,2,16,98.75,16,50,E,2,N,5,2,78674,132710,0,0,1901,0,0, , ,2.09,3,0,3,1,1009120013,0,70,990230,210195,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,235.580147,1704.889475,54036,10,0,12823,12827,8,1800,26.45000076,29.69666672,3.246665955,27.47597265,1.312864779,219.8077812 +12825,MN,611,14,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,50 CHARLES STREET,C2-6, , , , , , , , , ,N,S3,4,0, ,"SUNFLOWER, LLLP.",1750,4842,1210,3632,0,1210,0,0,0,0,2,2,3,3,4,20,95,20,62, ,3,Y,4,5,136457,417033,0,0,1940,1984,0,Greenwich Village Historic District, ,2.77,3.44,2,6.5,1,1006110014,0,73,983579,206991,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,223.0916052,1701.83098,280576,8,0,12824,12828,7,1575,23.83777809,23.83777809,0,23.83777809,0,166.8644466 +12826,MN,748,5,104,93,1001,2,3,10011,L024,10,15,5200,1,4,2A,359 WEST 24 STREET,R8, , , , , , , , , ,N,M1,8,0,X,ST ELEUTHERIUS CHUR,13325,9441,9441,0,0,0,0,0,0,9441,2,1,1,0,0,81,128.75,47,95.17, ,0,Y,5,5,1444500,2462400,1444500,2462400,1975,1964,0, , ,0.71,6.02,0,6.5,1,1007480005,0,93,984215,211461,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,491.0915498,13282.90814,1017900,2,0,12825,12829,59,13275,16.61000061,22.92555428,6.315553665,17.89807171,1.830366571,1055.986231 +12827,MN,404,25,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,542 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,JG 542 ASSOCIATES LLC,2370,6250,0,6250,0,0,0,0,0,0,2,1,5,20,20,25,94.75,25,50, ,3,N,5,2,247500,1117350,0,0,1920,1987,0, , ,2.64,4,0,4,1,1004040025,0,34,989762,204324,12c, ,102 029,10203, ,0, ,1, , 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LLC,1840,4000,0,4000,0,0,0,0,0,0,2,1,3,3,3,20,92,20,50, ,3,N,5,1,63570,141093,0,0,1910,0,0, , ,2.17,3,0,3,1,1009250027,0,64,989510,207042,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,228.1106097,1851.266432,77523,5,0,12835,12839,8,1800,15.27999973,17.46444321,2.184443474,16.10402751,0.899202796,128.8322201 +12837,MN,79,7501,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1, ,138 FULTON STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,2718,13774,5042,8732,0,2559,0,2483,0,0,2,1,5,4,5,25.17,108,0,0, ,0,N,5,5,146780,1174504,4720,4720,1920,2003,0, , ,5.07,10,15,15,1,1000797501,1333,1502,981936,198045,12b, ,11S 011,10102, ,1000790028,2/13/2004,1, , ,17V1.1,7,275.9619416,2983.377056,1027720,3,0,12836,12840,14,3150,31.21700096,36.53111267,5.31411171,31.59658037,1.368593018,442.3521252 +12838,MN,527,68,102,67,2001,2,3,10014,E024,6,15,6400,1,2,1B,30 CARMINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,30 CARMINE STREET LLC,1875,8445,610,7835,0,610,0,0,0,0,2,1,5,9,10,25,75,25,64, 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,1,1,1,17V1.1,0,303.608703,5244.277044,35765100,15,1,12845,12849,24,5400,7.869999886,7.869999886,0,7.869999886,0,188.8799973 +12847,MN,298,15,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,58 HESTER STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,CHINATOWN PRESERVATIO,5325,22722,3786,18936,0,3786,0,0,0,0,2,1,6,38,40,66.75,80,67,69, ,2,Y,5,2,362250,1401300,336893,1303209,1900,1989,0, , ,4.27,6.02,6,6.5,1,1002980015,0,16,986750,200038,12c,Y,101N051,10107, ,0, ,1, , ,17V1.1,0,301.3324907,5624.524506,1039050,13,0,12846,12850,25,5625,35.7788887,37.64699936,1.868110657,37.51328384,0.456850492,937.8320961 +12848,MN,717,51,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,414 WEST 20 STREET,R7B,R8, , , , , , , , ,Y,C2,2,0, ,ISOLINO FERNANDEZ,2227,4730,0,4730,0,0,0,0,0,0,2,1,3.5,5,5,21.42,104,21,42, ,3,N,5,5,181606,304952,0,0,1910,0,0,Chelsea Historic District, ,2.12,3,0,3,1,1007170051,0,89,983227,210622,8b, ,103 042,10302, ,0, ,1, , 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,17V1.1,0,213.0664249,1730.569747,357052,9,0,12863,12867,8,1800,22.65500069,25.67666626,3.021665573,23.4236114,1.089560831,187.3888912 +12865,MN,770,30,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,217 WEST 20 STREET,R8B, , , , , , , , , ,N,A9,1,0, ,AURA REAL PROPERTY NY,2002,1995,0,1995,0,0,0,0,0,0,2,1,1,1,1,25,80.08,25,80, ,0,Y,5,5,57228,174543,0,0,1920,0,0, , ,1,4,0,4,1,1007700030,0,87,984866,209885,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,214.0470915,2061.802822,117315,7,0,12864,12868,9,2025,22.20999908,22.20999908,0,22.20999908,0,199.8899918 +12866,MN,769,62,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,244 WEST 20 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,MERLE HOUSE INC,1582,4400,0,4400,0,0,0,0,0,0,2,1,4,10,10,22,73.58,22,40, ,3,Y,5,1,77161,359827,0,0,1925,1972,0, , ,2.78,4,0,4,1,1007690062,0,87,984491,209943,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,193.7881966,1630.450171,282666,7,0,12865,12869,8,1800,21.88888931,24.20555496,2.316665649,22.17847252,0.766165147,177.4277802 +12867,MN,913,42,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,242 EAST 33 STREET,R8B, , , , , , , , , ,N,B9,1,0, ,SUSAN PAZNER,1852,3780,0,2790,0,0,0,0,0,0,2,1,2,2,2,18.75,98.75,18.75,45, ,3,N,5,1,86998,161740,1550,1550,1901,0,0, , ,2.04,4,0,4,1,1009130042,0,70,990581,210407,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,247.7355509,1862.803025,74742,10,0,12866,12870,7,1575,19.78333282,22.49666595,2.71333313,20.17095184,0.94946881,141.1966629 +12868,MN,514,7502,102,49,1001,2,1,10012,L020,1,15,6800,1,2, ,129 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,BHAVSAR NATVAR P,5093,23168,8560,14608,0,3960,0,0,0,4600,2,1,5,4,6,50,100,50.92,100, ,0,N,5,5,130221,1152024,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,4.55,0,5,6.5,1,1005147502,569,49,984503,203663,12c, ,101N072,10206, ,1005140029,11/1/1988,1, , ,17V1.1,7,309.2784404,5279.229569,1021800,9,0,12867,12871,23,5175,22.59666634,29.97555542,7.378889084,22.92067602,1.504179533,527.1755486 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AUTHORITY,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,190,50,0,0, ,0,Y,3,5,0,0,0,0,0,0,0, , ,0,0,5,0,1,1005950090,0,37,981438,203684,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,468.0931072,9158.201548,0,0,1,12870,12874,40,9000,7.427777767,8.081110954,0.653333187,7.455277765,0.122076351,298.2111106 +12872,MN,874,16,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,65 IRVING PLACE,R8B, , , , , , , , , ,N,K4,4,0, ,ANALYTIC PROTOCOL LLC,1967,7429,3736,3693,0,3736,0,0,0,0,2,1,5,2,3,23,85.5,23,85,E,3,N,3,2,481500,1243800,0,0,1920,0,0, , ,3.78,4,0,4,1,1008740016,0,50,987814,207663,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,224.7420234,2196.646151,762300,5,0,12871,12875,10,2250,33.91699982,33.91699982,0,33.91699982,0,339.1699982 +12873,MN,883,74,105,68,1000,2,2,10016,E016,13,14,5300,1,5,1B,116 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,L8,6,0, ,116 LEXINGTON AVE INC,1521,5017,5017,0,0,1292,0,3725,0,0,2,1,4,0,4,19.75,77,19.75,65,E,3,N,5,2,237600,752400,0,0,1910,1963,0, , ,3.3,6.02,6,6.5,1,1008830074,0,68,989017,209828,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,202.7963994,1711.855017,514800,11,0,12872,12876,8,1800,33.29444504,33.29444504,0,33.29444504,0,266.3555603 +12874,MN,612,15,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,32 PERRY STREET,R6,C2-6, , , , , , , , ,Y,C0,2,0, ,"SMOKE RISE, LLC",1979,3760,0,2760,0,0,0,0,0,0,2,1,3,3,3,20.83,95,20.83,44, ,3,N,5,1,46859,170864,0,0,1899,0,0,Greenwich Village Historic District, ,1.9,2.43,0,4.8,1,1006120015,0,73,983600,207234,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,237.9692706,2059.838806,124005,8,0,12873,12877,10,2250,24.50222206,26.57444572,2.072223663,24.74866676,0.619725759,247.4866676 +12875,MN,350,31,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,164 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,D7,4,0,P,"FIRST STATON REALTY,",1875,15793,2632,13161,0,2632,0,0,0,0,2,1,6,17,20,25,75,50,52.64, ,0,N,5,5,135000,1466550,0,206017,2005,0,0, , ,8.42,4,0,4,1,1003500031,0,3001,988505,201761,12c, ,102 005,10201, ,1003500032,12/21/2007,1, , ,17V1.1,0,257.7707429,3986.95726,1331550,1,0,12874,12878,18,4050,22.40999985,24.89777756,2.48777771,22.66592577,0.726474077,407.9866638 +12876,MN,619,44,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,117 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,117 CHRISTOPHER STREE,2260,10638,1773,8865,0,1773,0,0,0,0,2,1,6,22,24,25,91.5,25,77, ,3,Y,5,2,630000,2059650,0,0,1910,1987,0,Greenwich Village Historic District, ,4.71,2.43,0,4.8,1,1006190044,0,73,982718,206471,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,245.3784564,2446.578848,1429650,9,0,12875,12879,12,2700,20.56999969,20.56999969,0,20.56999969,0,246.8399963 +12877,MN,465,43,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,42 STUYVESANT STREET,R8B, , , , , , , , , ,N,B9,1,0, ,"GINGERAS, ALISON",1241,3160,0,3160,0,0,0,0,0,0,2,1,4,2,2,17.08,70.42,17.08,43, ,2,Y,5,0,43363,100648,0,0,1800,0,0,St. Mark's Historic District, ,2.55,4,0,4,1,1004650043,0,40,987665,205159,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,187.5507836,1339.824818,57285,12,0,12876,12880,5,1125,31.03333282,31.03333282,0,31.03333282,0,155.1666641 +12878,MN,158,61,101,29,4008,2,1,10007,E006,5,15,7700,1,1,3B,39 PEARL STREET,C6-4, , , , , , , , , ,N,Z1,8,0,X,US GENERAL SERVICES A,74180,635000,635000,0,635000,0,0,0,0,0,2,3,31,0,31,205.58,381.25,205,381, ,0,Y,3,2,14130000,57347550,14130000,57347550,1933,0,0, ,UNITED STATES COURTHOUSE,8.56,10,10,10,1,1001580061,0,29,983609,199281,12b, ,101S025,10105, ,0, ,1, , ,17V1.1,0,1230.502063,72913.40942,43217600,14,0,12877,12881,325,73125,17.31122208,31.46000099,14.14877892,19.7108207,2.256923805,6406.016727 +12879,MN,530,28,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,43 GREAT JONES STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,43 GREAT JONES ST OWN,2597,14085,2400,11685,0,2400,0,0,0,0,2,1,6,7,8,27,100,27,90, ,3,Y,5,1,172929,684358,9440,9440,1920,0,0,NoHo Historic District Extension, ,5.42,0,5,6.5,1,1005300028,0,5502,986249,203993,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,264.2150371,2724.468671,511429,9,0,12878,12882,11,2475,43.14099884,44.7733345,1.632335663,43.28939299,0.469263509,476.1833229 +12880,MN,100,7502,101,15.01,1008,2,1,10038,E006,1,15,7700,1,1, ,8 SPRUCE STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0,C, ,41370,900766,127597,773169,20132,0,24295,0,0,0,2,1,76,904,906,210.37,197.97,158.88,183.3, ,1,N,0,5,6750000,153865463,3459402,147751344,2007,0,0, , ,21.77,10,10,10,1,1001007502,2227,1501,982676,198302,12b, ,11S 021,10103, ,1001000012,10/19/2011,1, , ,17V1.1,7,885.6226587,44700.16124,147115008,4,0,12879,12883,200,45000,23.70888901,35.29666519,11.58777618,29.12602217,3.178694675,5825.204433 +12881,MN,583,56,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,5 ST LUKES PLACE,R6, , , , , , , , , ,N,B1,1,0, ,HEDERMAN ANGELA,2167,4576,0,3432,0,0,0,0,0,0,2,1,4,2,2,21.67,100,21.67,52, ,3,N,5,1,62824,196502,0,0,1899,2009,0,Greenwich Village Historic District, ,2.11,2.43,0,4.8,1,1005830056,0,67,982517,205379,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,254.7048187,2346.7531,133678,9,0,12880,12884,10,2250,15.38333321,17.42333412,2.040000916,15.84817781,0.679660256,158.4817781 +12882,MN,283,47,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,17 PIKE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,MARY SHIU,2295,8965,1400,7565,0,1400,0,0,0,0,2,1,5,18,20,27,85,27,76, ,3,N,5,2,155250,486000,0,0,1900,1982,0, , ,3.91,3.44,0,6.5,1,1002830047,0,6,986426,199211,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,229.64073,2381.391113,330750,16,0,12881,12885,10,2250,32.40222168,32.40222168,0,32.40222168,0,324.0222168 +12883,MN,512,7501,102,49,1003,2,1,10012,L020,1,15,6800,1,2, ,583 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0,P,583-587 BROADWAY COND,10300,122539,25243,97296,0,25243,0,0,0,0,2,1,12,22,24,53,200,0,0, ,0,N,5,5,1471952,26277750,2360,2360,1915,1996,0,SoHo-Cast Iron Historic District, ,11.9,0,5,6.5,1,1005127501,75,49,984869,203398,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,7,523.750704,10887.46953,24805800,9,0,12882,12886,48,10800,35.38811111,36.38299942,0.994888306,36.36227258,0.142096054,1745.389084 +12884,MN,163,28,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,53 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,MOY SHEE ASSOC INC,2125,10950,3650,7300,1825,1825,0,0,0,0,2,1,6,16,18,25.08,85.67,25,73, ,3,Y,5,2,137700,498600,0,0,1915,0,0, , ,5.15,3.44,6,6.5,1,1001630028,0,29,984886,199826,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,221.975968,2200.794089,360900,14,0,12883,12887,10,2250,33.5909996,35.31277847,1.72177887,33.76317749,0.516533661,337.6317749 +12885,MN,449,36,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,119 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,SANICOLA I FAMILY LIM,1000,3280,800,2480,0,800,0,0,0,0,2,1,4,3,4,20,50,20,50, ,3,N,5,5,89266,132735,0,0,1900,1988,0, , ,3.28,4,0,4,1,1004490036,0,38,988172,204240,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,147.1108946,1071.11614,43469,12,0,12884,12888,5,1125,25.48777771,26.66699982,1.179222107,26.07577744,0.527374005,130.3788872 +12886,MN,201,33,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,68 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,MOM HOPE REALTY CORP,2300,12535,4180,8355,2090,2090,0,0,0,0,2,1,6,16,23,22.75,100,23,100,E,3,N,5,2,111600,1407150,0,0,1915,1979,0, , ,5.45,3.44,6,6.5,1,1002010033,0,29,984794,200023,12c,Y,101S032,10105, ,0, ,1, , ,17V1.1,0,249.8766044,2335.450587,1295550,14,0,12885,12889,12,2700,33.0379982,33.0379982,0,33.0379982,0,396.4559784 +12887,MN,836,62,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,34 WEST 35 STREET,C6-4.5, , , , , ,MID, , , ,N,O5,5,0, ,YMC 35 LLC,1500,6000,6000,0,3000,3000,0,0,0,0,2,1,4,0,4,20,75.25,20,75,E,3,N,5,2,236250,531000,0,0,1900,1988,0, , ,4,10,12,12,1,1008360062,0,76,988178,212390,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,200.0636166,1691.159025,294750,10,0,12886,12890,6,1350,49.62900162,49.62900162,0,49.62900162,0,297.7740097 +12888,MN,769,7503,104,87,2000,2,3,10011,L012,10,15,5600,1,4, ,160 7 AVENUE,C6-3A,R8B, , , , , , , , ,Y,RM,4,0, ,KENSINGTON HOUSE CO,12161,139198,22104,117094,0,22104,0,0,0,0,2,1,15,196,199,0.27,0,0,62.1, ,0,N,5,5,1412549,18040049,116460,116460,1939,0,0, , ,11.45,7.52,6,7.5,1,1007697503,502,87,984941,209681,8d, ,103 034,10304, ,1007690041,1/5/1988,1, , ,17V1.1,7,487.6013246,12544.55848,16627500,7,0,12887,12891,55,12375,21.88888931,28.10333443,6.214445114,22.53608118,1.766801644,1239.484465 +12889,MN,619,23,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,224 WEST 10 STREET,R6,C1-6, , , , , , , , ,Y,A4,1,0, ,224 WEST TENTH ST. LL,2042,3450,0,3450,0,0,0,0,0,0,2,1,3,1,1,21.5,95,22,40, ,3,N,5,5,47792,127080,0,0,1905,1983,2011,Greenwich Village Historic District, ,1.69,2.43,0,4.8,1,1006190023,0,73,982873,206601,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,235.3313939,2115.619963,79288,9,0,12888,12892,8,1800,20.56999969,21.61499977,1.045000076,21.40930533,0.373197394,171.2744427 +12890,MN,471,4,102,41,5000,2,1,10013,E055,5,15,6800,1,2,1F,4 CENTRE MARKET PLACE,C6-2G, , , , , ,LI, , , ,N,A4,1,0,P,BRADLEY ZIPPER,1347,4150,0,4150,0,0,0,0,0,0,2,1,4,1,1,24.58,58.08,25,42,E,3,Y,5,4,106067,240657,0,0,1900,1980,2003, , ,3.08,6.02,6,6.5,1,1004710004,0,41,984904,201573,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,162.6549722,1408.609023,134590,0,0,12889,12893,6,1350,24.86333275,28.76444435,3.901111603,25.51351802,1.453858455,153.0811081 +12891,MN,140,7503,101,21,2000,2,1,10013,E007,1,15,7700,3,1, ,137 READE STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,7640,29564,6373,23191,0,4599,0,1774,0,0,2,1,5,10,14,99.94,76.44,0,0, ,0,Y,0,5,643497,4011986,45220,45220,1930,1994,0, , ,3.87,7.52,6,7.5,1,1001407503,889,21,981494,200247,12a, ,115 016,10104, ,1001400025,12/24/1994,1, , ,17V1.1,7,350.5402988,7545.231751,3368490,14,0,12890,12894,33,7425,17.82888985,18.37822151,0.549331665,18.14422816,0.072536229,598.7595291 +12892,MN,822,23,105,54,1001,2,3,10011,E014,13,15,5700,1,5,1O,17 WEST 20 STREET,C6-4A, , , , , , , , , ,N,L8,6,0, ,SEALAND REALTY CORP,3404,16720,16720,0,0,4080,0,12640,0,0,2,1,6,0,14,37,92,37,92,E,2,N,5,2,472500,1497150,0,0,1910,1985,0,Ladies' Mile Historic District, ,4.91,10,10,10,1,1008220023,0,54,986421,209032,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,269.8622528,3654.574856,1024650,7,0,12891,12895,17,3825,34.23199844,36.56999969,2.338001251,34.36952793,0.550117941,584.2819748 +12893,MN,477,1,102,37,3015,2,1,10013,L008,1,15,6800,1,2,1B,80 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,D5,3,0, ,80 VARICK STREET GROU,11375,125235,33973,91262,22973,11000,0,0,0,0,2,1,10,54,61,175.08,65.08,172,62, ,1,Y,3,2,684000,7725600,0,0,1920,1981,0, , ,11.01,0,10,10,1,1004770001,0,37,982622,202834,12a, ,101N042,10206, ,0, ,1, ,1,17V1.1,0,482.7123649,11462.27474,7041600,0,1,12892,12896,52,11700,9.751999855,11.5577774,1.80577755,9.821431472,0.336975667,510.7144365 +12894,MN,768,18,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 18 STREET,C6-2A, , , , , , , , , ,N,S4,4,0, ,DREWVIN BLDG CORP,2300,4100,625,3475,0,625,0,0,0,0,2,1,3,4,5,25,92,25,90, ,3,N,5,5,161555,374332,0,0,1910,0,0, , ,1.78,6.02,6,6.5,1,1007680018,0,87,984452,209565,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,232.2884715,2195.898708,212777,7,0,12893,12897,11,2475,21.88888931,24.03666687,2.147777557,22.08414182,0.617442635,242.92556 +12895,MN,924,62,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,324 2 AVENUE,R9A, , , , , , , , , ,N,C5,2,0, ,BARON ANISE R,2167,6330,0,6330,0,0,0,0,0,0,2,1,4,8,8,21.67,100,22,75,E,3,N,5,0,85856,367578,5130,5130,1910,0,0, , ,2.92,7.52,0,7.52,1,1009240062,0,48,989100,207112,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,254.9191763,2298.24252,281722,5,0,12894,12898,9,2025,14.83555603,19.80177879,4.966222763,15.81402524,1.849695221,142.3262272 +12896,MN,912,31,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,567 2 AVENUE,C1-8A, , , , , , , , , ,N,S5,4,0,P,MARCHI RLTY CORP,1178,3629,760,2869,0,760,0,0,0,0,2,1,4,5,6,19,62,19,45, ,3,N,5,5,48583,380064,0,0,1910,0,0, , ,3.08,7.52,2,7.5,1,1009120031,0,70,990516,210036,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,170.7879375,1310.548388,331481,10,0,12895,12899,6,1350,26.45000076,26.45000076,0,26.45000076,0,158.7000046 +12897,MN,419,70,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,129 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,S9,4,0, ,YWC ROYAL INC.,613,3065,613,2452,0,613,0,0,0,0,2,1,5,4,6,24.5,25,25,25, ,3,N,5,5,43140,78192,0,0,1905,0,0, , ,5,4,4,4,1,1004190070,0,18,986535,201169,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,106.9921788,714.9988169,35052,13,0,12896,12900,4,900,39.86888886,39.86888886,0,39.86888886,0,159.4755554 +12898,MN,550,23,102,59,2000,2,1,10003,E033,6,15,5700,1,2,3A,4 EAST 8 STREET,C1-7,R6, , , , , , , , ,Y,C6,2,0, ,ONE FIFTH AVE APT COR,3006,11562,2100,9462,0,2100,0,0,0,0,2,2,5,6,11,25,120.25,25,120,E,3,N,5,0,338400,1239750,15649,15649,1930,1988,0,Greenwich Village Historic District, ,3.85,6.02,2,6.5,1,1005500023,0,59,985360,205900,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,296.4587698,3080.720129,901350,8,0,12897,12901,14,3150,26.29888916,27.61777687,1.318887711,26.39309543,0.339665519,369.503336 +12899,MN,449,39,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,85 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,C1,2,0, ,ZEAR LLC,2438,9680,0,9680,0,0,0,0,0,0,2,1,5,11,11,25,97.5,25,82, ,3,N,5,1,82350,236700,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,3.97,4,0,4,1,1004490039,0,38,988137,204259,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,251.7017526,2541.352761,154350,12,0,12898,12902,12,2700,25.48777771,26.66699982,1.179222107,25.59799067,0.324723791,307.1758881 +12900,MN,589,34,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,319 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S5,4,0, ,321 SIXTH AVENUE PART,1792,4910,1344,3566,0,1344,0,0,0,0,2,1,4.5,5,6,17.83,100,18,73,E,3,N,5,5,113522,282366,0,0,1920,1986,0,Greenwich Village Historic District Exte, ,2.74,3.44,0,6.5,1,1005890034,0,67,983752,205639,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,244.1458156,1938.740525,168844,9,0,12899,12903,9,2025,15.87222195,20.6222229,4.750000954,17.39740711,2.158148031,156.576664 +12901,MN,923,18,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,327 EAST 17 STREET,R8A, , , , , , , , , ,N,I7,8,0,X,B I NURSING HOME CO,2024,7120,7120,0,0,0,0,0,0,7120,2,1,6,0,0,22,92,22,52, ,0,N,5,5,351000,1397250,351000,1397250,1992,0,0, , ,3.52,6,0,6,1,1009230018,0,48,989152,206682,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,238.6855698,2132.000929,1046250,5,0,12900,12904,10,2250,16.06999969,19.93555641,3.865556717,17.60644436,1.726696758,176.0644436 +12902,MN,613,15,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,240 WEST 11 STREET,R6, , , , , , , , , ,N,C0,2,0, ,"NEAR TWO CHURCHES,",1900,4120,0,3020,0,0,0,0,0,0,2,1,2,3,3,20,95,20,48,E,3,N,5,1,57759,164228,0,0,1899,0,0,Greenwich Village Historic District, ,2.17,2.43,0,4.8,1,1006130015,0,73,983426,207444,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,232.5869789,1928.232137,106469,8,0,12901,12905,8,1800,25.34199905,28.40222168,3.060222626,26.09066582,1.297143073,208.7253265 +12903,MN,803,39,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,803 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,"S&V REALTY, LLC.",2040,5040,5040,0,3290,1750,0,0,0,0,2,1,4,0,3,20,100,20,100,E,3,Y,5,2,315000,485100,0,0,1920,0,0, , ,2.47,10,10,10,1,1008030039,0,95,986724,211012,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,256.6351231,2333.677956,170100,2,0,12902,12906,10,2250,37.16799927,38.75733185,1.589332581,37.32693253,0.476799774,373.2693253 +12904,MN,641,7503,102,79,2000,2,3,10014,L005,6,15,6100,3,2, ,385 WEST 12 STREET,C1-6A, , , , , , , , , ,N,R4,3,0, ,385 WEST 12TH STREET,8795,40286,0,40286,0,0,0,0,0,0,2,1,7,12,12,110.46,89.83,110.46,75, ,1,Y,5,5,3195001,5908049,0,1849457,2007,0,0, , ,4.58,4,2,4,1,1006417503,2087,79,981792,208057,12a,Y,103 014,10210, ,1006410026,12/16/2009,1, ,1,17V1.1,7,407.2080994,9126.42017,2713050,8,1,12903,12907,40,9000,7.992000103,7.992000103,0,7.992000103,0,319.6800041 +12905,MN,770,65,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,246 WEST 21 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,CHELSEA PARTNERS LLC,2582,5250,0,5250,0,0,0,0,0,0,2,1,5,28,28,23.33,109,23,41, ,3,Y,5,1,101700,304650,0,0,1910,1986,0, , ,2.03,4,0,4,1,1007700065,0,87,984648,210110,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,276.9170757,2675.746839,202950,7,0,12904,12908,12,2700,22.20999908,25.86666679,3.656667709,23.01044401,1.225913358,276.1253281 +12906,MN,406,34,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,206 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,206-208 LLC,4898,11719,1100,10619,0,1100,0,0,0,0,2,8,5,24,27,39.17,130.25,26,48, ,0,Y,5,5,135000,1036800,0,0,1900,1987,0, , ,2.39,4,0,4,1,1004060034,0,34,990059,204715,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,359.2091906,5100.072605,901800,12,1,12905,12909,21,4725,11.35888863,12.49555588,1.136667252,11.5843702,0.360635277,243.2717743 +12907,MN,422,60,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,237 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C6,2,0,P,A I L H D F C,5000,23260,2100,21160,0,2100,0,0,0,0,2,1,6,40,42,50,100,50,84, ,3,N,5,2,405000,1918350,11800,11800,1900,0,0, , ,4.65,4,4,4,1,1004220060,0,3601,987023,202526,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,306.8973649,5200.984025,1513350,1,0,12906,12910,24,5400,36.93666458,41.22222137,4.285556793,37.37578535,1.056415573,897.0188484 +12908,MN,397,65,103,30.02,1001,1,2,10002,E028,9,14,6600,1,3,3A,244 EAST HOUSTON STREET,R8A, , , ,C2-5, , , , , ,N,D5,3,0, ,244 HOUSTON CORP.,3500,9606,1746,7860,0,1746,0,0,0,0,2,1,5,12,13,76,100,76,100, 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AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,P2,8,0,P,THOR 164 5TH AVE LLC,3240,11070,11070,0,11070,0,0,0,0,0,2,2,4,0,1,27,120,27,112,E,3,N,5,2,634500,1509750,0,0,1910,0,0,Ladies' Mile Historic District, ,3.42,10,10,10,1,1008230041,0,58,986833,209120,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,295.0375706,3237.338497,875250,7,0,12920,12924,14,3150,38.59666824,38.59666824,0,38.59666824,0,540.3533554 +12922,MN,163,32,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,45 BAYARD STREET,C6-1, , , , , , , , , ,N,K4,4,0, ,MDM. 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,0, ,1, , ,17V1.1,0,232.7159884,1490.033249,106401,10,0,12930,12934,6,1350,34.37666702,34.88199997,0.505332947,34.6293335,0.252666473,207.776001 +12932,MN,769,31,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,205 WEST 19 STREET,C6-2A,C6-3A, , , , , , , , ,Y,D0,3,0, ,205 W 19 ST CORP,6440,77615,9202,68413,0,0,0,0,0,9202,2,1,12,19,20,70,92,70,92, ,3,N,5,2,331650,7887150,43180,43180,1913,1988,0, , ,12.05,6.02,6,6.5,1,1007690031,0,87,984853,209622,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,321.2498222,6284.33943,7555500,7,0,12931,12935,28,6300,21.88888931,21.88888931,0,21.88888931,0,612.8889008 +12933,MN,461,12,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,208 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,208-210 WS LLC,4850,20182,3364,16818,0,3364,0,0,0,0,2,1,6,36,41,50,97,50,84, ,3,N,5,2,553500,2469150,0,0,1900,0,0, , ,4.16,4,0,4,1,1004610012,0,38,986946,204467,12c, ,102 018,10205, ,0, ,1, , 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,17V1.1,0,416.2756738,4619.222161,686700,13,0,12934,12938,20,4500,32.20777893,35,2.792221069,32.44391212,0.721385134,648.8782425 +12936,MN,881,39,106,68,5000,2,2,10010,E016,13,14,5300,1,6,1B,157 EAST 25 STREET,C2-8,C6-3A, , , , , , , , ,Y,O2,5,0, ,157 EAST 25 LLC,2271,4500,4500,0,4500,0,0,0,0,0,2,1,2,0,3,23,98.75,23,98.75, ,3,N,5,0,459000,980550,0,0,1900,1984,0, , ,1.98,10,2,10,1,1008810039,0,68,989090,209061,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,258.5523615,2466.219475,521550,11,0,12935,12939,12,2700,30.02400017,30.02400017,0,30.02400017,0,360.288002 +12937,MN,915,59,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,204 EAST 35 STREET,C1-9, , , , , , , , , ,N,S3,4,0, ,"KAKOSIAN, KENN",1482,6273,2273,4000,2273,0,0,0,0,0,2,1,4,3,4,20,74.08,20,55,E,3,N,5,5,132885,280066,0,0,1899,2006,0, , ,4.23,10,2,10,1,1009150059,0,78,990537,211083,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,194.1881698,1559.468752,147181,10,0,12936,12940,7,1575,27.3488884,27.39299965,0.044111252,27.38669804,0.015435723,191.7068863 +12938,MN,190,33,101,33,3014,2,1,10013,E007,1,15,7700,1,1,3B,14 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,Y2,8,0,C,POLICE DEPARTMENT,10821,23300,23300,0,23300,0,0,0,0,0,2,1,3,0,2,108.92,100,98,100, ,2,N,3,2,1413000,2895750,1413000,2895750,1915,1988,0,Tribeca West Historic District, ,2.15,6.02,6,6.5,1,1001900033,0,33,982285,201682,12a, ,101N041,10105, ,0, ,1, , ,17V1.1,0,425.3573673,11285.28817,1482750,14,0,12937,12941,50,11250,14.43999958,15.75599957,1.315999985,15.67898182,0.292029298,783.949091 +12939,MN,578,67,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,119 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,O3,5,0, ,7121 VARICK LLC,10143,120592,120592,0,120592,0,0,0,0,0,2,1,12,0,11,75,130.42,75,130, ,3,Y,3,2,872100,10244700,0,0,1928,0,0, , ,11.89,0,10,10,1,1005780067,0,37,982491,203369,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,439.8726594,10720.50218,9372600,0,1,12938,12942,47,10575,11.90100002,18.10000038,6.199000359,12.15230735,1.141122068,571.1584454 +12940,MN,594,7508,101,39,1006,2,1,10013,L008,1,15,7700, ,1, ,475 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,8050,40933,5353,35580,0,0,0,0,0,5353,2,1,7,20,22,107,148.87,0,0, ,0,Y,0,5,663752,5429250,0,1003024,2007,0,0, , ,5.08,6.02,6,6.5,1,1005947508,1882,39,981728,203139,12a, ,11N 063,10208, ,1005940001,7/18/2008,1,1,1,17V1.1,7,458.510977,8764.95552,4765500,0,1,12939,12943,37,8325,8.435555458,9.180000305,0.744444847,8.553363053,0.176475269,316.4744329 +12941,MN,486,5,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,70 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D2,3,0, ,WOOSTER REALTY LLC,5862,14600,5667,8933,0,5667,0,0,0,0,2,1,4,5,6,59.83,100,60,95, ,3,Y,5,5,153603,902325,0,0,1900,1988,2016,SoHo-Cast Iron Historic District, ,2.49,0,5,6.5,1,1004860005,0,49,983845,202834,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,330.2675829,6215.536904,748722,0,0,12940,12944,28,6300,11.1744442,15.31444454,4.140000343,11.32230135,0.768288315,317.0244379 +12942,MN,823,75,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,60 WEST 22 STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,WGW COMPANY,1780,4972,3426,1546,1584,1842,0,0,0,0,2,1,4,1,4,18,98.75,18,97,E,3,N,5,2,207000,634950,0,0,1910,0,0,Ladies' Mile Historic District, ,2.79,6.02,6,6.5,1,1008230075,0,58,986190,209558,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,234.9161126,1694.879743,427950,7,0,12941,12945,7,1575,33.74333191,33.74333191,0,33.74333191,0,236.2033234 +12943,MN,406,56,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,517 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,JAMES OYMIN TOM,2581,7230,1200,6030,0,1200,0,0,0,0,2,1,5,16,18,25,103.25,25,52, ,3,N,5,2,90000,598500,0,0,1900,1987,0, , ,2.8,4,0,4,1,1004060056,0,34,989704,204840,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.5496684,2706.600757,508500,12,0,12942,12946,13,2925,13.0880003,16.07888985,2.990889549,13.98956424,1.032197774,181.8643351 +12944,MN,588,24,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,306 BLEECKER STREET,C1-6,C2-6, , , , , , , , ,Y,S3,4,0, ,COURDON BLEECKER LLC,2400,3360,840,2520,0,840,0,0,0,0,2,1,4,3,4,20,83,20,42, ,3,N,5,5,138194,286709,0,0,1940,0,0,Greenwich Village Historic District, ,1.4,3.44,2,6.5,1,1005880024,0,73,983135,206167,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,213.0662719,1730.599403,148515,9,0,12943,12947,7,1575,22.65500069,23.76333237,1.10833168,22.92960358,0.441258987,160.507225 +12945,MN,594,71,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,38 RENWICK STREET,C6-2A, , , , , , , , , ,N,S0,4,0, ,"38 RENWICK,",1500,8550,2850,5700,0,2850,0,0,0,0,2,1,6,1,3,25,60,25,60, ,3,N,5,2,164300,410400,0,0,1905,1988,0, , ,5.7,6.02,6,6.5,1,1005940071,0,37,981969,203571,12a, ,101N063,10208,E-116,0, ,1, , ,17V1.1,0,175.6267144,1623.478264,246100,0,1,12944,12948,8,1800,9.168000221,9.168000221,0,9.168000221,0,73.34400177 +12946,MN,551,13,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,24 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,C7,4,0, ,HAMERSBY EST,3632,6914,2800,4114,2800,0,0,0,0,0,2,2,3.5,7,8,27.5,131.17,28,104,E,3,N,5,1,353416,818956,0,0,1900,0,0,Greenwich Village Historic District, ,1.9,2.43,0,4.8,1,1005510013,0,63,984804,206044,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,324.9548332,3676.736501,465540,8,0,12945,12949,16,3600,21.12199974,24.11111069,2.989110947,21.55009019,0.721198232,344.8014431 +12947,MN,499,5,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,100 GREENE STREET,M1-5A, , , , , , , , , ,N,C8,2,0,P,TELIMAN HOLDING CORP,2500,11076,900,10176,0,900,0,0,0,0,2,1,5,4,5,25,100,25,99,E,3,N,5,2,102716,834512,0,0,1920,2014,0,SoHo-Cast Iron Historic District, ,4.43,0,5,6.5,1,1004990005,0,49,984338,203134,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,257.4186497,2638.336309,731796,0,0,12946,12950,11,2475,22.35555458,22.35555458,0,22.35555458,0,245.9111004 +12948,MN,230,14,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,12 GREENE STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,12 GREENE ST CO INC,2812,11840,1840,10000,0,0,0,0,0,1840,2,1,5,5,6,28.17,100.08,28,91,E,3,N,5,2,51264,674064,4720,4720,1920,1981,2009,SoHo-Cast Iron Historic District, ,4.21,0,5,6.5,1,1002300014,0,47,983520,201867,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,263.4165882,2978.511021,622800,0,1,12947,12951,14,3150,11.39777756,11.88355541,0.485777855,11.43247598,0.125106926,160.0546637 +12949,MN,483,7,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,504 BROADWAY,M1-5B, , , , , , , , , ,N,K3,5,0, ,"SLOANE BROADWAY, LLC",16670,121992,121992,0,0,121992,0,0,0,0,2,1,6,0,1,46.17,199.84,46,200, ,3,Y,4,2,3825000,15563700,0,0,1862,2003,2003,SoHo-Cast Iron Historic District, ,7.32,0,5,6.5,1,1004830007,0,45,984542,202334,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,667.8932331,17824.45391,11738700,0,0,12948,12952,80,18000,24.68222237,28.49833488,3.816112518,24.77556267,0.583055934,1982.045013 +12950,MN,435,38,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,129 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,129 EAST 7TH STREET L,2437,7420,1100,6320,0,1100,0,0,0,0,2,1,5,7,8,25,97.5,25,96,E,3,N,5,2,30944,203299,0,0,1900,1989,0,East Village/Lower East Side Historic Di, ,3.04,4,0,4,1,1004350038,0,32,988717,203937,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,253.2995433,2541.239072,172355,12,0,12949,12953,12,2700,18.46888924,20.71999931,2.251110077,18.7048707,0.628253154,224.4584484 +12951,MN,580,11,102,37,3002,2,3,10014,E024,1,15,6800,1,2,1B,74 CHARLTON STREET,M1-6, , , , , ,HSQ, , , ,N,D9,3,0, ,68 & 74 CHARLTON STRE,15104,224400,2828,221572,0,2828,0,0,0,0,2,1,21,122,124,101,200.25,0,0, ,0,N,4,5,1403100,29561688,0,0,2014,0,0, , ,14.86,0,10,10,1,1005800011,0,37,982472,204145,12a, ,101N066,10208,E-288,1005800011,12/21/2006,1, , ,17V1.1,0,620.0322034,16056.02282,28158600,0,0,12950,12954,72,16200,17.09600067,18.64999962,1.553998947,17.19170735,0.293334837,1237.802929 +12952,MN,745,28,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,311 WEST 21 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,311 W 21 LLC,2469,9690,0,9690,0,0,0,0,0,0,2,1,5,15,15,25,98.75,25,84, ,3,N,5,2,85500,778950,0,0,1900,1988,0, , ,3.92,3,0,3,1,1007450028,0,89,984240,210524,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,257.2174781,2627.529608,693450,7,0,12951,12955,11,2475,15.97222233,22.06000137,6.087779045,16.70419216,1.7843852,183.7461138 +12953,MN,373,14,103,26.01,1002,1,2,10009,E028,9,14,6700,1,3,3A,322 EAST 4 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,TAI KONG INC.,2212,7500,0,7500,0,0,0,0,0,0,2,1,5,11,11,23,96.17,20,68, ,3,N,5,2,316800,727650,0,0,1910,2006,2006, , ,3.39,4,0,4,1,1003730014,0,2601,989947,202224,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,246.6490511,2400.792723,410850,1,0,12952,12956,11,2475,12.37111092,13.44999981,1.078888893,12.46919172,0.31015875,137.161109 +12954,MN,437,9,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,254 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,D3,3,0, ,254 EAST 10TH ASSOCIA,2583,12264,0,12264,0,0,0,0,0,0,2,1,7,25,25,28,92.25,28,73, ,0,Y,5,5,450000,1370700,0,0,1990,0,0, , ,4.75,4,0,4,1,1004370009,0,34,988666,204645,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,264.2791712,2882.779319,920700,12,0,12953,12957,12,2700,17.51666641,22.15777779,4.641111374,18.6575923,1.976469162,223.8911076 +12955,MN,913,12,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,221 EAST 32 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,ABART HOLDINGS,2469,9270,0,9270,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,86, ,3,N,5,2,77400,799200,0,0,1910,1983,2010, , ,3.75,4,0,4,1,1009130012,0,70,990371,210408,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,242.6049932,2434.514776,721800,10,0,12954,12958,12,2700,22.72100067,26.47888756,3.757886887,23.20332448,1.105099105,278.4398937 +12956,MN,818,5,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,55 WEST 16 STREET,C6-2A, , , , , , , , , ,N,D4,3,0, ,SIXTEENTH STREET OWN,2760,25639,2500,23139,0,2500,0,0,0,0,2,1,10,9,10,30,92,30,92, ,3,N,5,2,424785,1824790,11800,11800,1950,1982,0, , ,9.29,6.02,6,6.5,1,1008180005,0,54,985542,208401,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,250.5007099,2860.596079,1400010,7,0,12955,12959,12,2700,31.11599922,31.11599922,0,31.11599922,0,373.3919907 +12957,MN,551,16,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,27 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,D9,3,0, ,27 WASHINGTON SQ. NOR,6345,32409,800,31609,800,0,0,0,0,0,2,1,7,27,28,55.5,123.08,56,122, ,2,Y,3,2,508500,2314800,0,0,1900,0,0,Greenwich Village Historic District, ,5.11,2.43,0,4.8,1,1005510016,0,63,984723,206091,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,359.0900725,6533.507361,1806300,8,0,12956,12960,28,6300,20.62444496,22.88444519,2.260000229,21.1836586,0.390138233,593.1424408 +12958,MN,531,1,102,55.02,2000,2,1,10012,L009,9,15,5700,1,2,2A,684 BROADWAY,M1-5B, , , , , , , , , ,N,D0,3,0, ,684 OWNERS CORP,5763,59248,4740,54508,0,4740,0,0,0,0,2,1,12,22,24,41.17,140,41,120, ,2,N,3,2,344700,6359850,16930,16930,1905,1979,0,NoHo Historic District, ,10.28,0,5,6.5,1,1005310001,0,5502,985825,204433,12c, ,103 009,10207, ,0, ,1, , ,17V1.1,0,381.6682518,6562.766757,6015150,9,0,12957,12961,29,6525,39.92444611,40.19888687,0.274440765,40.07611176,0.03988539,1162.207241 +12959,MN,859,4,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,273 5 AVENUE,C5-2, , , , , , , , , ,N,L8,6,0, ,VICTOR NOMAD 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,0,N,5,1,936000,3870900,936000,3870900,1931,1985,0, , ,4.41,7.52,6,7.5,1,1007980014,0,91,985596,210064,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,340.7098128,6882.338295,2934900,2,0,12960,12964,30,6750,28.16444397,28.16444397,0,28.16444397,0,844.9333191 +12962,MN,772,31,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,227 WEST 22 STREET,R8B, , , , , , , , , ,N,A5,1,0, ,"HAMBRECHT, GEORGE A.",1596,3264,0,3264,0,0,0,0,0,0,2,1,4,1,1,16.17,98.75,16.17,56, ,3,N,5,2,42279,124259,0,0,1901,0,0, , ,2.05,4,0,4,1,1007720031,0,91,985122,210328,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,229.660007,1560.330256,81980,2,0,12961,12965,7,1575,22.16600037,28.90555573,6.739555359,24.9110478,3.173586754,174.3773346 +12963,MN,583,122,102,67,4004,2,3,10014,E024,6,15,6400,1,2,2B,44A MORTON STREET,R6, , , , , , , , , ,N,B2,1,0, ,ANDREW BLANE,1500,2361,0,2361,0,0,0,0,0,0,2,1,3,2,2,36,40.83,29.92,22.08, ,3,Y,6,0,36288,116493,1550,1550,1910,0,0,Greenwich Village Historic District, ,1.57,2.43,0,4.8,1,1005830122,0,67,982781,205418,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,295.066937,1964.874792,80205,9,0,12962,12966,8,1800,15.38333321,19.54333305,4.159999847,17.96930552,1.65192404,143.7544441 +12964,MN,800,7501,104,91,1002,2,3,10001,E001,13,15,5200,2,4, ,245 7 AVENUE,C6-3X, , , , , , , , , ,N,RM,4,0, , ,6883,62582,5442,57140,0,5442,0,0,0,0,2,1,12,33,34,86.94,79.17,0,0, ,0,N,0,5,1598404,15081753,51117,272146,1911,0,0, , ,9.09,9,6,9,1,1008007501,970,91,985702,210634,8d, ,100 000,10305,E-54,1008000001,12/24/1997,1, , ,17V1.1,7,350.3095088,7655.083206,13483300,2,0,12963,12967,33,7425,33.27444458,35.03111267,1.756668091,33.40848495,0.429399774,1102.480003 +12965,MN,450,1,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,132 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,SOS REALTY ASSOCIATES,2890,12098,2016,10082,0,2016,0,0,0,0,2,1,6,15,16,42.5,68,42.5,58, ,0,N,3,2,711000,2952000,0,0,1900,0,0, , ,4.19,4,0,4,1,1004500001,0,38,987762,204731,12c, ,102 019,10205, ,0, ,1, , 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,17V1.1,0,238.6031272,2425.83506,234000,12,0,12970,12974,11,2475,18.26222229,22.782444,4.52022171,18.67315154,1.299472376,205.4046669 +12972,MN,307,20,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,301 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,NAMEE REALTY CORP,1613,4043,4043,0,0,1613,0,0,0,2430,2,1,3,0,2,21.5,75,22,73, ,3,N,5,2,152550,520200,0,0,1910,0,0, , ,2.51,3.44,6,6.5,1,1003070020,0,16,986495,200626,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,199.9956683,1749.976533,367650,13,0,12971,12975,8,1800,39.60333252,39.60333252,0,39.60333252,0,316.8266602 +12973,MN,288,35,103,2.02,1002,1,1,10002,E015,7,14,8000,1,3,2B,525 GRAND STREET,R7-2, , , , , , , , , ,N,K1,5,0, ,FRIEDMAN MARCIA,796,850,850,0,0,850,0,0,0,0,2,1,1,0,1,16.67,53.75,17,54,G,3,Y,4,0,38250,190350,0,0,1910,0,0, , ,1.07,3.44,0,6.5,1,1002880035,0,202,989317,199518,12d, ,101N060,10107, ,0, ,1, , ,17V1.1,0,139.4287686,841.2080963,152100,13,0,12972,12976,3,675,29.70800018,29.70800018,0,29.70800018,0,89.12400055 +12974,MN,881,24,106,68,5000,2,2,10010,E016,13,14,5300,1,5,1B,67 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,H3,5,0, ,DELEX BUILDING LLC,3567,17027,3006,0,3006,0,0,0,0,0,2,1,7,0,1,39.58,100,39.58,70, ,3,Y,5,2,630000,3073500,0,0,1910,2008,0, , ,4.77,6.02,6,6.5,1,1008810024,0,68,988860,209224,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,286.0984159,3757.859716,2443500,11,0,12973,12977,17,3825,30.02400017,31.41222191,1.388221741,30.16426165,0.389960401,512.792448 +12975,MN,573,50,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,11 WEST 9 STREET,R6, , , , , , , , , ,N,C5,2,0, ,"BREGER, DAVID",1630,3872,0,3872,0,0,0,0,0,0,2,1,4,9,9,17.67,92.25,18,56, ,3,N,5,2,126469,474375,0,0,1900,0,0,Greenwich Village Historic District, ,2.38,2.43,0,4.8,1,1005730050,0,63,985164,206479,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,223.5861727,1673.022998,347906,8,0,12974,12978,9,2025,18.98099899,18.98099899,0,18.98099899,0,170.8289909 +12976,MN,558,11,103,42,1001,1,2,10003,L003,9,14,6200,1,3,4B,106 EAST 13 STREET,C6-2A, , 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HOLD,2558,11000,2200,8800,0,2200,0,0,0,0,2,1,5,6,7,25.33,101,25,95,E,3,N,5,2,97627,521730,0,0,1915,0,0,Tribeca East Historic District, ,4.3,6.02,6,6.5,1,1001780010,0,33,982594,201158,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,262.196763,2676.141541,424103,14,1,12977,12981,13,2925,9.793333054,9.793333054,0,9.793333054,0,127.3133297 +12979,MN,202,2,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,10 ELIZABETH STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,GARLING REALTY INC,3000,16394,2500,13894,0,2500,0,0,0,0,2,1,6,24,28,37.5,80,38,67, ,3,N,5,1,155700,1024200,0,0,1915,1985,0, , ,5.46,3.44,6,6.5,1,1002020002,0,29,985013,200027,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,239.6846613,3032.12214,868500,14,0,12978,12982,14,3150,39.25888824,42.4090004,3.150112152,41.772389,1.224653637,584.813446 +12980,MN,400,16,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,520 EAST 5 STREET,R7B, , , , , , , , , ,N,C4,2,0,P,IMH LLC,2404,6955,0,6955,0,0,0,0,0,0,2,1,5,16,16,25,96.17,25,54, ,3,N,5,2,159750,756900,0,0,1940,1986,0, , ,2.89,3,0,3,1,1004000016,0,32,988824,203140,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,243.4320599,2453.497518,597150,1,0,12979,12983,11,2475,15.8922224,19.24111176,3.348889351,16.62565656,1.086037076,182.8822222 +12981,MN,873,59,105,50,2002,2,2,10003,E014,13,14,5300,1,5,1B,61 IRVING PLACE,R8A, , , , , , , , , ,N,D4,3,0,P,61 IRVING PLACE CORPO,5300,40904,0,40904,0,0,0,0,0,0,2,1,8,32,32,53,100,53,98, ,3,N,3,0,742500,4978350,14160,14160,1950,1987,0, , ,7.72,6,0,6,1,1008730059,0,50,987765,207586,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,328.7245514,6178.542783,4235850,5,0,12980,12984,27,6075,34.00999832,35.20111084,1.191112518,34.86147393,0.192267366,941.2597961 +12982,MN,315,47,103,14.01,2002,1,1,10002,E015,7,14,7400,1,3,1B,232 EAST BROADWAY,R8, , , , , , , , , ,N,I5,8,0,P,222 EAST BROADWAY PRO,5200,16128,16128,0,0,0,0,0,0,16128,2,1,4,0,3,47.67,109.75,48,105.5, ,2,N,5,2,463500,1090350,0,0,1962,0,0, , ,3.1,6.02,0,6.5,1,1003150047,0,1401,987977,199629,12d, ,101N085,10107, ,0, ,1, , ,17V1.1,0,322.0113026,5655.572787,626850,13,0,12981,12985,24,5400,33.32799912,35.31155396,1.98355484,33.46873061,0.474447052,803.2495346 +12983,MN,11,26,101,9,1003,2,1,10004,L015,1,15,7700,1,1, ,88 BROAD STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,"88 BROAD STREET,",1640,4920,4920,0,0,4920,0,0,0,0,2,1,3,0,2,15.92,94.5,16,95, ,3,Y,3,2,332100,1071000,0,0,1910,2013,0, , ,3,10,15,15,1,1000110026,0,9,980961,195801,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,242.4018211,1836.460352,738900,17,1,12982,12986,10,2250,8.743000031,8.743000031,0,8.743000031,0,87.43000031 +12984,MN,299,27,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,25 ORCHARD STREET,C6-2, , , , , , , , , ,N,C8,2,0, ,TRH TRADING CORP,2357,12325,2355,9970,0,2355,0,0,0,0,2,1,6,14,15,26.08,79,26,79, ,3,Y,5,2,159750,1291950,0,0,1900,1980,2001, , ,5.23,6.02,6,6.5,1,1002990027,0,16,986506,199944,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,238.7811134,2494.54375,1132200,13,0,12983,12987,12,2700,40.40000153,40.6166687,0.216667175,40.41805712,0.059883644,485.0166855 +12985,MN,479,37,102,41,1002,2,1,10013,L006,5,15,6800,1,2,1A,362 BROOME STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,C4,2,0, ,362-366 BROOME LIMITE,3625,13415,0,13415,0,0,0,0,0,0,2,1,5,22,22,32.58,111.17,33,108, ,3,Y,5,2,157500,2221650,0,0,1900,1988,0, , ,3.7,6.02,6,6.5,1,1004790037,0,41,985484,201689,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,320.8103895,3419.430612,2064150,0,0,12984,12988,15,3375,35.33778,35.33778,0,35.33778,0,530.0667 +12986,MN,646,37,102,79,1000,2,3,10014,L005,6,15,6100,1,2,3B,410 WEST 14 STREET,M1-5, , , , , , , , , ,N,C4,2,0, ,AMCOJOR REALTY CORP,2575,6221,2500,3721,0,2500,0,0,0,0,2,1,3,4,5,25,103.25,25,103.25,E,3,N,5,5,98254,693669,0,0,1900,0,0,Gansevoort Market Historic District, ,2.42,0,5,6.5,1,1006460037,0,79,982528,209239,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,259.0377489,2612.964399,595415,8,1,12985,12989,12,2700,12.05555534,12.05555534,0,12.05555534,0,144.6666641 +12987,MN,697,47,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,518 WEST 26 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0,P,WEST CHELSEA BUILDING,22219,218019,218019,0,195734,21673,0,0,0,612,2,1,10,0,150,225,98.75,225,98, ,3,N,5,0,2699550,11706750,0,0,1910,1983,0,West Chelsea Historic District, ,9.81,0,5,6.5,1,1006970047,0,99,983057,212517,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,651.4142187,22695.42959,9007200,2,1,12986,12990,102,22950,8.930000305,9.6277771,0.697776794,8.946100506,0.092213598,912.5022516 +12988,MN,515,30,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,147 WOOSTER STREET,M1-5A, , , , , , , , , ,N,C3,2,0,P,"JANSONS, KAREN",2502,8962,0,8962,0,0,0,0,0,0,2,1,4,4,4,25,100.08,25,100,E,3,N,5,5,59765,431841,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,3.58,0,5,6.5,1,1005150030,0,49,984314,203829,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,256.9903496,2539.921486,372076,9,0,12987,12991,12,2700,20.20444489,20.20444489,0,20.20444489,0,242.4533386 +12989,MN,405,1,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,174 AVENUE A,R7A, , , ,C2-5, , , , , ,N,D1,3,0,P,ALLIANCE APARTMENTSHO,9837,40376,0,40376,0,0,0,0,0,0,2,1,7,46,46,103,95.5,80,80, ,0,N,3,5,293400,1776600,293400,1776600,1998,0,0, , ,4.1,4,0,4,1,1004050001,0,34,989412,204697,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,406.9912857,10334.20516,1483200,12,0,12988,12992,45,10125,13.81444454,16.98333359,3.168889046,14.19958286,0.682203395,638.9812288 +12990,MN,636,13,102,75,1006,2,3,10014,L005,6,15,6400,1,2,2B,1 WEEHAWKEN STREET,C1-6A, , , , , , , , , ,N,C6,2,0, ,304 WEST 10 STREET OW,1245,5610,0,5610,0,0,0,0,0,0,2,1,5,14,14,21.92,62,22,54, ,2,Y,3,2,218700,473400,14901,14901,1910,1962,0,Weehawken Street Historic District, ,4.51,4,2,4,1,1006360013,0,75,981583,206378,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,168.4386964,1379.261084,254700,9,1,12989,12993,6,1350,9.866666794,10.54922199,0.682555199,10.30927769,0.250185725,61.85566616 +12991,MN,615,14,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,266 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,ANDICA KUNST,1462,2752,0,2752,0,0,0,0,0,0,2,2,3,1,1,16.67,86.67,16.67,40, ,3,Y,5,2,71726,182476,0,0,1899,0,0,Greenwich Village Historic District, ,1.88,2.43,0,4.8,1,1006150014,0,77,983361,207927,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,206.5620401,1350.388965,110750,8,0,12990,12994,6,1350,23.05999947,25.28777695,2.227777481,23.77888838,1.017491097,142.6733303 +12992,MN,277,20,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,37 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,LUCKY OF 195 MADISON,2200,8975,2000,6975,500,1500,0,0,0,0,2,2,5,9,13,25,88,25,88,E,2,N,3,2,105750,384300,0,0,1900,0,0, , ,4.08,3.44,0,6.5,1,1002770020,0,8,985735,198823,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,237.3240617,2472.278317,278550,16,0,12991,12995,10,2250,26.91300011,26.91300011,0,26.91300011,0,269.1300011 +12993,MN,832,36,105,76,2000,2,4,10001,L024,14,15,5200,1,5,1A,5 WEST 30 STREET,M1-6, , , , , , , , , ,N,L8,6,0, ,"AXELROD, HARVEY",2470,11545,11545,0,0,2000,0,9545,0,0,2,1,5,0,5,25,98.75,25,96,E,3,N,5,2,297000,1001250,0,0,1910,0,0, , ,4.67,0,10,10,1,1008320036,0,76,987870,211207,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,254.9108428,2623.845493,704250,10,0,12992,12996,12,2700,41.02666855,41.02666855,0,41.02666855,0,492.3200226 +12994,MN,378,32,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,127 AVENUE D,R8A, , , ,C1-5, , , , , ,N,D7,4,0,P,127 AVENUE D REALTY C,2186,11676,2460,9216,0,2460,0,0,0,0,2,1,7,11,12,23.5,93,23,63, ,3,N,5,2,222300,267300,0,0,2016,2014,0, , ,5.34,6,0,6,1,1003780032,0,2602,990909,203138,12c, ,102 023,10202,E-216,0, ,1, ,1,17V1.1,0,241.5245488,2387.691188,45000,12,1,12993,12997,11,2475,7.409999847,7.409999847,0,7.409999847,0,81.50999832 +12995,MN,802,36,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,777 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,D6,4,0, ,777 SIXTH AVENUE OWNE,15677,269947,16300,253647,0,8150,0,0,0,8150,2,2,31,293,295,148.13,100,148,65, ,3,Y,3,0,3100500,49424850,0,0,2000,0,0, , ,17.22,10,10,10,1,1008020036,0,95,986604,210794,8d, ,105S012,10305,E-66,1008020036,9/27/2000,1, , ,17V1.1,0,561.7572701,16555.48093,46324400,2,0,12994,12998,74,16650,40.34000015,42.78111267,2.441112518,40.63133637,0.627399803,3006.718891 +12996,MN,404,59,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,293 EAST 10 STREET,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,D&J ASSOCIATES,1446,7230,1200,6030,0,1200,0,0,0,0,2,2,5,4,5,24,60.25,24,55, ,3,N,3,5,27594,188243,0,0,1900,1983,0,East 10th Street Historic District, ,5,4,0,4,1,1004040059,0,34,989248,204478,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,176.1914939,1612.443042,160649,12,0,12995,12999,8,1800,12.53199959,17.61333275,5.08133316,13.74083304,2.097370709,109.9266644 +12997,MN,350,29,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,25 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,25 CLINTON STREET ASS,1875,7825,900,6925,0,900,0,0,0,0,2,1,5,16,18,25,75,25,58, ,2,N,5,2,253350,1509750,0,0,1920,1990,0, , ,4.17,4,0,4,1,1003500029,0,3001,988536,201804,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,208.2464921,2004.884682,1256400,1,0,12996,13000,9,2025,22.40999985,26.31555557,3.905555725,23.61432097,1.717389695,212.5288887 +12998,MN,385,34,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,31 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0,P,254 EAST 3RD STREET,2646,14889,1500,13389,0,1500,0,0,0,0,2,1,6,20,23,26.42,100,26,96, ,2,Y,3,2,270000,1325250,0,0,1900,1985,0, , ,5.63,4,0,4,1,1003850034,0,2202,989535,202205,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,264.0040886,2966.239372,1055250,1,0,12997,13001,12,2700,14.97222233,17.16222191,2.18999958,15.277963,0.698896814,183.335556 +12999,MN,864,7501,106,74,1000,2,2,10016,L007,17,15,5200,2,6, ,20 EAST 35 STREET,C5-2,R9X, , , , , , , , ,Y,RM,4,0, ,20 E 35 ST,19325,200200,23034,177166,5000,18034,0,0,0,0,2,1,15,166,167,121,148,0,0, ,0,Y,5,5,4945949,20786400,230357,230357,1938,0,0, , ,10.36,10,10,10,1,1008647501,96,74,989139,211807,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,7,672.1664273,20565.14093,15840500,10,0,12998,13002,88,19800,55.57666779,65.32444,9.747772217,56.26753876,2.067991459,4951.543411 +13000,MN,889,28,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,151 EAST 33 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,28 REALTY NY LLC,1975,5120,0,5120,0,0,0,0,0,0,2,1,4,3,3,20,98.75,20,64,E,3,N,5,5,95087,227127,0,0,1910,0,0, , ,2.59,4,0,4,1,1008890028,0,72,989941,210942,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,241.2267171,2012.267445,132040,10,0,12999,13003,9,2025,24.63888931,37.31633377,12.67744446,27.34095107,4.280128086,246.0685596 +13001,MN,502,25,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,430 WEST BROADWAY,M1-5A,R7-2, , , , , , , , ,Y,K4,4,0, ,434 ASSOCIARES,7240,26929,26929,0,11929,15000,0,0,0,0,2,1,3,0,5,75,96,75,75, ,3,N,5,1,1629000,7056450,0,0,1989,0,0,SoHo-Cast Iron Historic District Extensi, ,3.72,0,5,6.5,1,1005020025,0,49,983842,203604,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,348.568867,7490.261835,5427450,0,0,13000,13004,32,7200,12.81888866,13.86800003,1.049111366,12.85167339,0.182537652,411.2535486 +13002,MN,578,75,102,37,3008,2,3,10013,L008,1,15,6800,1,2,1B,568 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,D6,4,0, ,SOHO BROOME CONDOS LL,3803,76672,1809,74863,0,1809,0,0,0,0,2,1,25,54,55,45,84.5,45,54, ,0,N,5,5,428400,1597185,0,0,2016,0,0, , ,20.16,0,10,10,1,1005780075,0,37,982434,203286,12a, ,101N065,10208,E-288,0, ,1, ,1,17V1.1,0,264.6401596,3954.739843,1168790,0,1,13001,13005,18,4050,11.90100002,11.90100002,0,11.90100002,0,214.2180004 +13003,MN,230,7,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,325 CANAL STREET,M1-5B, , , , , , , , , ,N,S9,4,0,P,325-327 CANAL LLC,1725,5456,1750,3706,0,1750,0,0,0,0,2,1,4,4,6,21.67,88.25,22,70, ,3,Y,5,2,247500,1172250,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,3.16,0,5,6.5,1,1002300007,0,47,983465,201739,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,227.5479096,1902.142563,924750,0,1,13002,13006,8,1800,11.39777756,11.39777756,0,11.39777756,0,91.18222046 +13004,MN,746,16,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,337 WEST 22 STREET,R7B, , , , , , , , , ,N,C1,2,0,P,CHELSEA 337 HOLDINGS,3703,8244,0,8244,0,0,0,0,0,0,2,1,3,9,9,37.5,98.75,38,48, ,3,N,5,1,301894,601205,0,0,1900,2000,2014,Chelsea Historic District Extension, ,2.23,3,0,3,1,1007460016,0,93,984120,210884,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,280.6481407,3994.778496,299311,2,0,13003,13007,18,4050,15.97222233,19.06999969,3.097777367,17.01035823,1.244872102,306.1864481 +13005,MN,374,65,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,307 EAST 4 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C6,2,0,P,309 HSG DEVPMNT FUND,4512,19354,0,19354,0,0,0,0,0,0,2,1,6,20,20,47.17,96.17,40,82, ,2,N,5,2,270000,679950,270000,472470,1900,1988,0, , ,4.29,4,0,4,1,1003740065,0,2601,989910,202420,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,286.9171872,4509.62579,409950,1,1,13004,13008,20,4500,10.52222252,10.52222252,0,10.52222252,0,210.4444504 +13006,MN,419,46,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,120 FORSYTH STREET,C4-4A,C6-2A, , , , , , , , ,Y,C4,2,0,P,GOLDEN BLOSSOM CORPOR,2600,9618,1000,8618,1000,0,0,0,0,0,2,1,5,18,22,25.67,100.25,25,79, ,3,Y,5,2,135000,328950,0,0,1900,0,0, , ,3.7,4,4,4,1,1004190046,0,18,986433,201292,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,261.1994011,2805.368099,193950,13,0,13005,13009,13,2925,39.86888886,41.95888901,2.090000153,40.0296581,0.556920993,520.3855553 +13007,MN,233,14,102,45,1009,2,1,10013,E055,5,15,6800,1,2,1A,145 GRAND STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,"WANG & ASSOCIATES,",1414,4244,4244,0,0,1200,0,3044,0,0,2,1,4,0,5,17.67,80.08,18,73,E,3,N,5,2,105300,693900,0,0,1915,1985,0,SoHo-Cast Iron Historic District Extensi, ,3,0,5,6.5,1,1002330014,0,45,984378,201606,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,203.3970431,1513.175764,588600,0,0,13006,13010,6,1350,17.40800095,23.58555603,6.177555084,18.43759346,2.302238851,110.6255608 +13008,MN,883,63,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,136 EAST 28 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"QUAD TWO REALTY,",2469,9695,895,8800,0,895,0,0,0,0,2,1,5,18,20,25,98.75,25,89, ,3,N,5,2,142650,1077750,0,0,1935,0,0, , ,3.93,4,0,4,1,1008830063,0,68,989203,209702,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,253.9072559,2523.291867,935100,11,0,13007,13011,11,2475,33.40789032,36.50666809,3.098777771,33.68959739,0.890835974,370.5855713 +13009,MN,609,38,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,527 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,O5,5,0, ,100-106,1240,4906,3684,1222,2444,1240,0,0,0,0,2,1,4,1,5,20,62,20,62, ,2,N,3,2,315000,1924650,0,0,1910,0,0, , ,3.96,7.52,6,7.5,1,1006090038,0,71,985027,207905,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,173.7938432,1423.528525,1609650,8,0,13008,13012,6,1350,25.65555573,28.7677784,3.112222672,26.71935209,1.393366636,160.3161125 +13010,MN,217,7503,101,39,1017,2,1,10013,L008,1,15,7700,3,1, ,250 WEST STREET,C6-3A,C6-2A, , , , ,TMU, , , ,Y,R4,3,0, ,EL-AD 250 WEST LLC,26566,225356,0,225356,0,0,0,0,0,0,2,1,12,104,104,116.33,229.67,116,225, ,2,Y,0,5,4279509,20691456,26370,26370,1906,0,0, , ,8.48,7.52,6,7.5,1,1002177503,2292,39,981156,202260,12a, ,101N039,10105,E-162,1002170001,2/21/2013,1,1,1,17V1.1,7,694.6349373,26773.30447,16411900,14,1,13009,13013,119,26775,7.28000021,7.28000021,0,7.28000021,0,866.320025 +13011,MN,88,11,101,21,1011,2,1,10007,L010,1,15,7700,1,1,1A,22 BARCLAY STREET,C5-3, , , , , ,LM, , , ,N,M1,8,0, ,ST PETERS R C CHURCH,12831,8898,8898,0,0,0,0,0,0,8898,2,1,2,0,1,101.25,127.25,80,100, ,2,Y,3,2,2533500,3623400,2533500,3314436,1900,1989,0, ,ST. PETER'S CHURCH,0.69,10,15,15,1,1000880011,0,21,981601,198810,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,459.9862773,12993.61191,1089900,3,0,13010,13014,59,13275,26.54333305,28.42222214,1.878889084,27.49853063,0.246085024,1622.413307 +13012,MN,499,20,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,94 PRINCE STREET,M1-5A, , , , , , , , , ,N,K4,4,0, ,94 PRINCE STREET CORP,1246,6230,6230,0,0,3230,0,3000,0,0,2,1,5,0,3,25.25,49.33,25,49, ,3,N,3,2,280350,1189350,0,0,1900,1984,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1004990020,0,49,984588,203258,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,153.817541,1278.398114,909000,0,0,13011,13015,6,1350,22.35555458,31.53777885,9.182224274,23.88592529,3.422012943,143.3155518 +13013,MN,197,7502,101,31,1003,2,1,10013,L001,5,15,7700,3,1, ,139 CENTRE STREET,C6-4,M1-5, , , , , , , , ,Y,RI,5,0, , ,19465,127401,112666,0,110367,601,0,1698,0,0,2,1,9,0,167,146.81,161.36,146,95, ,0,Y,0,5,2079012,20677050,0,10169310,1911,2007,0, , ,6.55,10,10,10,1,1001977502,2014,31,984020,200669,12c,Y,101N047,10105, ,1001970011,5/21/2009,1, , ,17V1.1,7,626.52184,19940.41394,18598000,14,0,13012,13016,88,19800,13.85000038,14.23333359,0.383333206,13.85595996,0.042752208,1219.324476 +13014,MN,387,17,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,620 EAST 5 STREET,R8B, , , , , , , , , ,N,C2,2,0,O,NEW YORK CITY HSG AUT,4766,4560,0,4560,0,0,0,0,0,0,2,1,3,5,5,25,96.17,38,40, ,2,N,5,2,32072,280814,32072,280814,1989,0,0, , ,0.96,4,0,4,1,1003870017,0,2601,989393,202820,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,295.216759,4861.20523,248742,1,1,13013,13017,21,4725,14.04500008,16.05888939,2.013889313,14.80373033,0.682790283,310.8783369 +13015,MN,590,22,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,12 JONES STREET,R6, , , , , , , , , ,N,D1,3,0, ,"CARALEX HOLDINGS, LLC",7532,48544,2016,46528,0,0,0,0,0,2016,2,1,8,59,59,75.17,100,74,82, ,3,N,5,2,508500,8471700,0,0,1920,1980,0,Greenwich Village Historic District Exte, ,6.45,2.43,0,4.8,1,1005900022,0,67,983671,205942,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,352.8049767,7614.973767,7963200,9,0,13014,13018,33,7425,17.54000092,21.39666748,3.856666565,17.92331395,1.054716829,591.4693604 +13016,MN,527,27,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,10 DOWNING STREET,R7-2,R6, , ,C1-5, , , , , ,Y,D9,3,0,P,SP 10 DOWNING LLC,23250,118467,11806,106661,0,11806,0,0,0,0,2,1,7,115,125,157.67,284.83,156,268, ,1,Y,3,1,1795500,16726950,0,0,1940,2013,0,Greenwich Village Historic District Exte, ,5.1,3.44,0,6.5,1,1005270027,0,67,983463,204953,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,786.7189767,24205.82868,14931500,9,0,13015,13019,107,24075,16.43555641,21.4066658,4.97110939,18.07678941,0.713426037,1934.216467 +13017,MN,753,1,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,332 9 AVENUE,C6-2A, , , , , , , , , ,N,K1,5,0,P,EMR ASSOCIATES LLC,1470,1470,1470,0,0,1470,0,0,0,0,2,1,1,0,1,20.75,70,20.75,70,E,0,N,3,2,450000,731250,0,0,1946,0,0, , ,1,6.02,6,6.5,1,1007530001,0,97,984730,212605,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,196.7368316,1708.476501,281250,6,0,13016,13020,6,1350,28.20800018,28.20800018,0,28.20800018,0,169.2480011 +13018,MN,884,67,105,72,3002,2,2,10016,E016,13,14,5300,1,5,1B,134 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,O9,5,0, ,134 LEXINGTON LLC,1320,3982,1696,2286,848,848,0,0,0,0,2,1,4,1,3,16.25,81,16.25,52, ,3,N,5,2,118800,429750,0,0,1910,0,0, , ,3.02,6.02,6,6.5,1,1008840067,0,72,989125,210028,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,199.8614824,1391.350054,310950,11,0,13017,13021,6,1350,32.07600021,32.07600021,0,32.07600021,0,192.4560013 +13019,MN,822,7504,105,54,1001,2,3,10011,E014,13,15,5700,1,5, ,15 WEST 20 STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,5152,41025,4000,37025,0,4000,0,0,0,0,2,1,11,17,18,56,92,56,92,E,3,N,0,5,792898,6482250,0,0,1906,2006,2005,Ladies' Mile Historic District, ,7.96,10,10,10,1,1008227504,1726,54,986462,209009,8d, ,102 042,10306, ,1008220025,9/8/2007,1, , ,17V1.1,7,307.4331835,5484.57915,5689350,7,0,13018,13022,24,5400,34.23199844,34.23199844,0,34.23199844,0,821.5679626 +13020,MN,406,63,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,503 EAST 12 STREET,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,AVENUE A CORNER OWNER,1147,3602,800,2802,0,800,0,0,0,0,2,1,4,3,4,22.17,51.75,22,40, ,3,N,5,5,22417,181218,0,0,1910,1988,0, , ,3.14,4,0,4,1,1004060063,0,34,989541,204900,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,152.1755815,1187.404011,158801,12,0,13019,13023,5,1125,13.0880003,17.11111069,4.02311039,13.89262238,1.609244156,69.46311188 +13021,MN,778,75,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,370 8 AVENUE,C6-2A,M1-6D, , , , , , , , ,Y,HR,5,0, ,370 8TH AVENUE GROUP,2541,10297,2000,0,0,2000,0,0,0,0,2,1,5,0,2,24.67,103,25,90, ,3,Y,5,2,216000,454500,0,0,1901,0,0, , ,4.05,6.02,6,6.5,1,1007780075,0,95,985459,212027,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,264.379675,2745.546428,238500,2,0,13020,13024,13,2925,26.68777847,27.76222229,1.074443817,26.770428,0.286306351,348.015564 +13022,MN,575,62,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,23 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,FRIEDMAN MAX,1957,3920,0,3100,0,0,0,0,0,0,2,1,4,2,2,19.67,103.25,19.67,35, ,3,Y,5,1,48744,193424,1550,1550,1901,0,0,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1005750062,0,63,985387,206925,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,252.4792444,2111.566422,144680,8,0,13021,13025,9,2025,24.42399979,24.42399979,0,24.42399979,0,219.8159981 +13023,MN,877,67,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,7 LEXINGTON AVENUE,R9A, , , , , , , , , ,N,D4,3,0, ,PARK GRAMERCY OWNERS,8889,84851,4000,80851,4000,0,0,0,0,0,2,1,12,93,97,74.08,105,74,93, ,1,N,3,1,999000,7501500,35002,35002,1951,0,0, , ,9.55,7.52,0,7.52,1,1008770067,0,68,988387,208349,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,425.4169352,9632.716668,6502500,11,0,13022,13026,42,9450,22.27111053,27.01333427,4.74222374,22.76645456,1.275269197,956.1910915 +13024,MN,574,7501,102,63,2001,2,3,10011,E033,6,15,5700,3,2, ,9 WEST 10 STREET,R6, , , , , , , , , ,N,R1,2,0, , ,2370,5362,0,5362,0,0,0,0,0,0,2,1,5,4,4,25,94.8,25,74, ,0,N,0,5,81579,534683,2360,2360,1890,0,0,Greenwich Village Historic District, ,2.26,2.43,0,4.8,1,1005747501,1127,63,985349,206658,12c, ,103 019,10207, ,1005740049,10/16/2000,1, , ,17V1.1,7,247.5105948,2479.964015,453104,8,0,13023,13027,11,2475,20.66300011,29.67000008,9.006999969,23.00685883,3.502854052,253.0754471 +13025,MN,431,31,103,32,4000,1,2,10009,E028,9,14,6600,1,3,3A,43 AVENUE A,R7A,R8B, , ,C2-5, , , , , ,Y,D4,3,0,P,141 EAST THIRD OWNERS,12021,120605,10055,110550,0,10055,0,0,0,0,2,1,12,100,105,96.17,125,96,109, ,2,N,3,2,1017000,9303750,120761,120761,1929,1987,0, , ,10.03,4,0,4,1,1004310031,0,32,988277,203038,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,445.4446189,12216.26418,8286750,1,0,13024,13028,55,12375,23.27222252,25.9422226,2.670000076,23.4835074,0.627719412,1291.592907 +13026,MN,623,22,102,77,4003,2,3,10014,L005,6,15,6100,1,2,2K,415 BLEECKER STREET,C1-6, , , , , , , , , ,N,S3,4,0,P,WILLIAM GOTTLIEB,1033,3511,700,2811,0,700,0,0,0,0,2,1,4,3,4,20.67,50,21,50,E,3,N,5,5,103293,235062,0,0,1901,0,0,Greenwich Village Historic District, ,3.4,3.44,2,6.5,1,1006230022,0,77,982843,207576,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,141.8515031,1010.857568,131769,8,0,13025,13029,6,1350,22.60333252,22.60333252,0,22.60333252,0,135.6199951 +13027,MN,274,28,103,8,6013,2,1,10002,E009,5,14,7800,1,3,1A,144 MADISON STREET,C8-4, , , , , , , , , ,N,G7,10,0,C,DEPT OF ENVIRONMENTAL,1700,0,0,0,0,0,0,0,0,0,7,1,0,0,0,31.58,100,0,0, ,0,Y,5,5,251100,251100,251100,251100,0,0,0, , ,0,0,5,6.5,1,1002740028,0,8,986174,198767,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,225.1160176,1439.995536,0,16,0,13026,13030,7,1575,31.37666702,32.27555466,0.898887634,31.83238057,0.273606656,222.826664 +13028,MN,935,40,106,70,3000,2,2,10016,E016,13,14,5800,1,6,2A,338 EAST 30 STREET,R7B, , , , , , , , , ,N,S9,4,0, ,338 EAST 30 LLC,2222,10458,3482,6976,3482,0,0,0,0,0,2,1,5,4,6,22.5,98.75,23,83, ,2,N,5,5,263306,1091821,0,0,1910,1970,0, , ,4.71,3,0,3,1,1009350040,0,70,990838,209383,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,249.2554501,2325.446599,828515,10,0,13027,13031,9,2025,34.49666595,35.01100159,0.514335632,34.95385318,0.161640095,314.5846787 +13029,MN,928,23,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,341 EAST 22 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,UNITED ASSETS LLC,1775,6295,0,6295,0,0,0,0,0,0,2,1,5,11,11,25.5,74,26,74, ,2,Y,5,2,126000,669150,0,0,1901,0,0, , ,3.55,4,2,4,1,1009280023,0,64,989973,207626,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,207.1262807,1928.382193,543150,11,0,13028,13032,8,1800,14.22500038,14.99222183,0.767221451,14.36333358,0.262383902,114.9066687 +13030,MN,592,68,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,373 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,S3,4,0, ,LEE YUEN FUNG TRADING,1680,5562,800,4762,0,800,0,0,0,0,2,1,4,3,4,21,80,21,67, ,3,N,5,5,276169,629761,0,0,1910,0,0,Greenwich Village Historic District, ,3.31,3.44,0,6.5,1,1005920068,0,71,984104,206255,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,203.5199165,1698.573214,353592,9,0,13029,13033,7,1575,17.50333405,17.50333405,0,17.50333405,0,122.5233383 +13031,MN,464,152,103,38,1000,1,2,10003,E033,9,14,6500,1,3,4B,13 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"GIOIA ST MARKS, LLC",2934,13375,3500,9875,0,3500,0,0,0,0,2,1,5,16,18,26,112.83,26,110, ,0,N,5,5,355500,2563200,0,0,1900,0,0, , ,4.56,4,0,4,1,1004640152,0,38,987320,205013,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,285.2912388,3068.725386,2207700,12,0,13030,13034,13,2925,34.9980011,36.00500107,1.006999969,35.83824011,0.360582964,465.8971214 +13032,MN,489,7501,102,47,1001,2,3,10012,L008,1,15,6800,1,2, ,65 THOMPSON STREET,R7-2, , , , , , , , , ,N,RM,4,0, , ,2388,9337,2459,6878,633,1826,0,0,0,0,2,1,6,5,7,25,100,0,0, ,0,Y,0,5,103481,1260779,0,0,1999,0,0,Sullivan-Thompson Historic District, ,3.91,3.44,0,6.5,1,1004897501,1071,47,983318,203183,12a, ,100 000,10206, ,1004890034,7/31/1999,1, ,1,17V1.1,7,252.4830603,2544.570137,1157300,0,1,13031,13035,11,2475,9.686666489,11.26000023,1.57333374,9.969393817,0.599806178,109.663332 +13033,MN,454,44,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,199 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0,P,12TH & 1ST LLC,1295,3330,833,2497,0,833,0,0,0,0,2,1,4,3,4,20,64.75,20,39,E,3,N,5,5,123217,183417,0,0,1920,1988,0, , ,2.57,4,0,4,1,1004540044,0,40,988770,205337,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,177.6713448,1454.133697,60200,12,0,13032,13036,6,1350,22.37666702,22.37666702,0,22.37666702,0,134.2600021 +13034,MN,452,15,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,314 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,314-316 EAST 11TH STR,3664,13850,0,13850,0,0,0,0,0,0,2,2,5,25,25,38.67,94.75,24,83, ,3,N,5,2,231300,1143000,0,0,1900,0,0, , ,3.78,4,0,4,1,1004520015,0,40,988257,205160,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,267.0447789,3600.450216,911700,12,0,13033,13037,16,3600,22.86222267,27.68555641,4.82333374,23.16368103,1.167543203,370.6188965 +13035,MN,836,25,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,11 WEST 34 STREET,C5-3,C6-4.5, , , , ,MID, , , ,Y,K2,5,0,P,11 WEST 34TH STREET O,3162,17153,17153,0,1877,7765,0,7511,0,0,2,1,6,0,1,25,126.5,25,120,E,3,N,5,2,1242000,7257600,0,0,1920,0,0, , ,5.42,10,15,15,1,1008360025,0,76,988263,212224,8d, ,104 027,10306, ,0, ,1, , ,17V1.1,0,314.302927,3057.60402,6015600,10,0,13034,13038,13,2925,49.62900162,49.62900162,0,49.62900162,0,645.177021 +13036,MN,588,45,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,120 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,M&E CHRISTOPHER,5340,22785,1620,21165,0,1620,0,0,0,0,2,2,5,37,41,59.17,96.92,30,76, ,3,Y,3,2,279900,2250450,0,0,1890,2004,0,Greenwich Village Historic District, ,4.27,2.43,0,4.8,1,1005880045,0,73,982700,206326,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,320.4374785,5958.846802,1970550,9,0,13035,13039,26,5850,20.90555573,22.02444458,1.118888855,20.99358991,0.270226454,545.8333378 +13037,MN,633,6,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,717 WASHINGTON STREET,C1-6A,R6, , , , , , , , ,Y,C6,2,0,P,WASHINGTON W 11TH ST,8180,25281,3000,22281,0,3000,0,0,0,0,2,7,5,41,45,81.75,79.83,32,51, ,0,Y,3,5,499500,2841300,11800,11800,1900,2014,0,Greenwich Village Historic District, ,3.09,4,2,4,1,1006330006,0,75,982002,207181,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,372.2970062,8523.870355,2341800,9,0,13036,13040,35,7875,15.33111095,19.35888863,4.027777672,16.23717793,1.316988282,568.3012276 +13038,MN,29,43,101,9,1010,2,1,10004,L015,1,15,7700,1,1, ,9 SOUTH WILLIAM STREET,C5-5, , , , , ,LM, , , ,N,HB,5,0,P,SOUTH WILLIAM ST ASSO,3234,24238,1600,0,0,1600,0,0,0,0,2,1,7,0,2,42.83,76.5,42,78, ,2,Y,3,2,1629000,4442850,0,0,1920,0,0,Stone Street Historic District, ,7.49,10,15,15,1,1000290043,0,9,981402,195974,12b, ,101S002,10101, ,0, ,1, , ,17V1.1,0,244.0073642,3352.254107,2813850,17,1,13037,13041,16,3600,10.66100025,13.61666679,2.955666542,11.06858361,0.820783591,177.0973377 +13039,MN,858,54,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1A,30 EAST 29 STREET,C5-2, , , , , , , , , ,N,O5,5,0, ,30-32 EAST 29TH OWNER,4938,21885,21885,0,17885,4000,0,0,0,0,2,1,6,0,5,50,98.75,50,81,E,3,N,5,2,540000,1625400,0,0,1903,1987,0, , ,4.43,10,10,10,1,1008580054,0,74,988464,210406,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,308.5056316,5209.919244,1085400,11,0,13038,13042,24,5400,36.10889053,39.31555557,3.206665039,36.47963111,0.98283337,875.5111465 +13040,MN,499,4,102,49,1005,2,1,10012,L020,1,15,6800,1,2,1A,98 GREENE STREET,M1-5A, , , , , , , , , ,N,D2,3,0,P,GREENER 98 PROPERTIES,2500,11076,2000,9076,0,2000,0,0,0,0,2,1,5,5,6,25,100,25,100, ,0,N,5,5,129830,953820,0,0,1900,0,2009,SoHo-Cast Iron Historic District, ,4.43,0,5,6.5,1,1004990004,0,49,984324,203113,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,255.4481255,2536.730789,823990,0,0,13039,13043,12,2700,22.35555458,22.35555458,0,22.35555458,0,268.266655 +13041,MN,584,20,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,75 BARROW STREET,R6, , , , , , , , , ,N,D7,4,0, ,JUDITH KINGMAN AS CUS,2502,14784,1700,13084,0,1700,0,0,0,0,2,1,6,15,17,20.58,80,21,72, ,2,Y,3,2,235350,1454850,0,0,1926,1955,0,Greenwich Village Historic District, ,5.91,2.43,0,4.8,1,1005840020,0,67,982666,205742,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,219.339162,2568.099463,1219500,9,0,13040,13044,11,2475,16.16111183,16.16111183,0,16.16111183,0,177.7722301 +13042,MN,374,47,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,345 EAST 4 STREET,R8B, , , , , , , , , ,N,M1,8,0, ,MURILLO PATRICIO CUBI,2308,3496,3496,0,0,0,0,0,0,3496,2,1,3,0,1,24,96.17,24,92, ,3,N,5,2,94950,172800,0,0,1920,0,0, , ,1.51,4,0,4,1,1003740047,0,2601,990251,202230,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,242.6767901,2403.937476,77850,1,1,13041,13045,10,2250,11.67399979,11.67399979,0,11.67399979,0,116.7399979 +13043,MN,864,48,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,32 EAST 35 STREET,R9X, , , , , , , , , ,N,C5,2,0, ,COMMUNITY CHURCH,2469,7970,797,7173,797,0,0,0,0,0,2,1,5,9,10,25,98.75,25,60, ,3,N,5,2,60073,576201,15018,144073,1926,0,0, , ,3.23,9,0,9,1,1008640048,0,74,989308,211751,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,255.5313624,2545.718529,516128,10,0,13042,13046,11,2475,60.8769989,66.15444946,5.277450562,61.62021151,1.656206659,677.8223267 +13044,MN,518,34,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,148 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,148 SULLIVAN COMPANY,2504,10606,1000,9606,0,1000,0,0,0,0,2,1,5,19,20,25,100.08,25,80, ,3,N,5,0,94950,1253250,0,0,1900,1958,0,Sullivan-Thompson Historic District, ,4.24,3.44,0,6.5,1,1005180034,0,49,983690,204241,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,249.0208849,2450.196853,1158300,9,0,13043,13047,11,2475,20.52111053,20.52111053,0,20.52111053,0,225.7322159 +13045,MN,147,14,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,141 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,ARTHUR PANTZER AS TRU,833,2422,2422,0,2422,0,0,0,0,0,2,1,3,0,2,16.67,50,17,50, ,3,N,5,2,86850,249300,0,0,1940,1988,0,Tribeca South Historic District, ,2.91,6.02,6,6.5,1,1001470014,0,33,982058,200433,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,142.785268,936.5319588,162450,14,0,13044,13048,4,900,12.94333363,12.94333363,0,12.94333363,0,51.7733345 +13046,MN,230,1,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,1 MERCER STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,"CANAL SPACE 313, LLC",2675,3224,806,2418,0,806,0,0,0,0,2,1,4,2,3,42.42,72,22.69,35.52,E,3,Y,3,5,74482,249840,0,0,1915,2007,0,SoHo-Cast Iron Historic District, ,1.21,0,5,6.5,1,1002300001,0,47,983545,201635,12a, ,101N046,10105, ,1002300001,12/22/2008,1, , ,17V1.1,0,130.108001,884.6764146,175358,0,1,13045,13049,5,1125,11.39777756,11.39777756,0,11.39777756,0,56.98888779 +13047,MN,72,27,101,15.02,2011,2,1,10038,E004,1,15,7700,1,1,1B,85 SOUTH STREET,C5-3, , , , , ,LM, , , ,N,D2,3,0, ,85 SOUTH STREET LLC,7618,52005,5800,46205,0,5800,0,0,0,0,2,1,8,24,25,35.5,164.67,36,165, ,3,Y,5,2,517500,2493450,0,0,1900,0,0,South Street Seaport Historic District, ,6.83,10,15,15,1,1000720027,0,1502,983019,196440,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,447.366641,7735.254889,1975950,4,1,13046,13050,35,7875,5.993332863,7.746666431,1.753333569,6.087650354,0.38390641,213.0677624 +13048,MN,235,5,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1F,208 CENTRE STREET,M1-5B, , , , , , , , , ,N,S5,4,0, ,208 CENTRE REALTY INC,3148,11944,3148,8796,0,3148,0,0,0,0,2,2,5,6,7,24.92,125.42,25,122, ,3,Y,4,2,126565,494000,0,0,1915,1979,0, , ,3.79,0,5,6.5,1,1002350005,0,41,984588,201211,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,319.6958696,3428.487713,367435,0,0,13047,13051,15,3375,18.99699974,19.33577728,0.338777542,19.01958491,0.084505966,285.2937737 +13049,MN,88,4,101,21,1011,2,1,10007,L010,1,15,7700,1,1, ,18 VESEY STREET,C5-3, , , , , ,LM, , , ,N,M3,8,0, ,THE ROMAN CATHOLIC CH,2537,11385,2300,9085,0,0,0,0,0,2300,2,1,5,6,6,25,101.33,25,98, ,3,Y,5,1,463500,1466100,370800,1172880,1933,2004,0, , ,4.49,10,15,15,1,1000880004,0,21,981651,198673,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,261.2605845,2640.718919,1002600,3,0,13048,13052,12,2700,31.56599998,31.56599998,0,31.56599998,0,378.7919998 +13050,MN,199,20,103,29,2001,2,1,10013,E009,5,15,7700,1,3,1A,85 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"POLYCOM ENTERPRISES,L",2560,6945,1300,5645,0,1300,0,0,0,0,2,1,5,9,10,25.5,100,25,99, ,2,N,5,2,163994,632122,0,0,1920,1989,0, , ,2.71,3.44,6,6.5,1,1001990020,0,29,984483,200373,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,255.7594109,2573.233588,468128,14,0,13049,13053,13,2925,22.37599945,25.59399986,3.218000412,22.62353794,0.857498494,294.1059933 +13051,MN,871,14,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,117 EAST 15 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,117 EAST 15TH REALTY,2323,5675,1063,4612,0,1063,0,0,0,0,2,1,4,7,8,22.5,103.25,23,55, ,3,N,5,1,83918,483251,0,0,1920,0,0, , ,2.44,6.02,6,6.5,1,1008710014,0,50,987404,207075,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,265.9861643,2503.052788,399333,5,0,13050,13054,11,2475,37.98099899,37.98099899,0,37.98099899,0,417.7909889 +13052,MN,205,7501,102,41,4002,2,1,10013,L006,5,15,6800,1,2, ,103 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,RC,5,0, ,KIMBO DYNASTY REALTY,5051,33031,33031,0,24693,0,0,0,8338,0,2,1,7,0,7,0.11,0,0,0, ,0,N,0,5,659699,2603250,0,0,1920,0,0, , ,6.54,6.02,6,6.5,1,1002057501,855,41,984887,200643,12c, ,101N048,10105, ,1002050026,11/18/1993,1, , ,17V1.1,7,307.3262659,5230.687023,1943550,0,0,13051,13055,24,5400,31.4109993,34.85144424,3.440444946,31.55435117,0.68749143,757.3044281 +13053,MN,741,29,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,311 WEST 17 STREET,R8B, , , , , , , , , ,N,S3,4,0, ,311 W 17 LLC,2225,4668,1000,3668,0,1000,0,0,0,0,2,1,4,3,4,22,92,22,50, ,0,Y,5,5,100289,232167,0,0,1900,0,0, , ,2.1,4,0,4,1,1007410029,0,83,983832,209632,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,240.6518939,2258.654044,131878,7,0,13052,13056,11,2475,19.42666817,19.42666817,0,19.42666817,0,213.6933498 +13054,MN,907,12,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,217 EAST 26 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,217 EAST 26TH STREET,2469,8220,1050,7170,0,1050,0,0,0,0,2,2,5,8,10,25,98.75,25,50, ,3,N,5,2,84663,616917,0,0,1912,1988,0, , ,3.33,4,0,4,1,1009070012,0,66,989580,209082,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,251.151526,2512.730364,532254,11,0,13053,13057,11,2475,35.09000015,39.86111069,4.771110535,36.17184795,1.58352252,397.8903275 +13055,MN,519,30,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,18 KING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"CHOU, ROBERT K.",2477,11717,1758,9959,0,1758,0,0,0,0,2,1,6,21,24,76.25,39.67,72,40, ,2,Y,3,2,156150,2235600,0,0,1920,2016,0,Charlton-King-Vandam Historic District, ,4.73,3.44,0,6.5,1,1005190030,0,37,983294,204327,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,227.3925691,2634.4276,2079450,9,0,13054,13058,12,2700,16.83888817,22.44000053,5.601112366,17.71731424,1.968850692,212.6077709 +13056,MN,501,28,102,49,1007,2,1,10012,L020,1,15,6800,1,2,1A,101 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D4,3,0, ,WOOSTERS OWNERS INC,4875,30500,4357,26143,0,4357,0,0,0,0,2,1,7,9,10,50,100,50,88,E,3,Y,5,0,200504,3427466,4720,4720,1900,2014,2016,SoHo-Cast Iron Historic District, ,6.26,0,5,6.5,1,1005010028,0,49,983971,203296,12c,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,305.6435879,5004.438587,3226960,0,0,13055,13059,22,4950,15.00755596,15.00755596,0,15.00755596,0,330.1662312 +13057,MN,393,4,103,28,3000,1,2,10009,L011,9,14,6300,1,3,4A,165 AVENUE B,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,JASMERA REALTY AVENUE,2201,5608,1000,4608,0,1000,0,0,0,0,2,1,5,4,5,23.67,93,24,63,E,3,N,5,5,28584,123433,0,0,1900,2013,0, , ,2.55,4,0,4,1,1003930004,0,28,989940,204157,12c, ,102 022,10203, ,0, ,1, , ,17V1.1,0,242.8051207,2478.371726,94849,12,1,13056,13060,11,2475,9.383999825,11.68666649,2.302666664,10.12602,0.898007156,111.38622 +13058,MN,473,18,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,429 BROOME STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,HUNG THANH INC,2625,13000,2600,10400,0,2600,0,0,0,0,2,1,5,4,5,25.08,104.67,25,104, ,2,Y,3,2,189596,1467060,0,0,1900,1988,2010,SoHo-Cast Iron Historic District, ,4.95,0,5,6.5,1,1004730018,0,45,984441,202054,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,271.9630129,2974.724299,1277460,0,0,13057,13061,13,2925,20.99799919,21.81599998,0.818000793,21.06092233,0.217972144,273.7919903 +13059,MN,586,63,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,266 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,S1,4,0, ,"266 BLEECKER ST., LLC",1350,2664,1012,1652,0,1012,0,0,0,0,2,1,3,1,2,18,75,18,36,E,3,N,5,0,44688,107827,0,0,1910,0,0,Greenwich Village Historic District Exte, ,1.97,3.44,0,6.5,1,1005860063,0,67,983350,205686,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,191.9303453,1393.31779,63139,9,0,13058,13062,6,1350,17.38400078,17.38400078,0,17.38400078,0,104.3040047 +13060,MN,176,4,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,53 WORTH STREET,C6-4, , , , , , , , , ,N,W6,8,0,P,NEW YORK LAW SCHOOL,10050,49000,49000,0,49000,0,0,0,0,0,2,2,5,0,2,100,100.33,48,97,E,2,N,5,2,2106000,5933700,2106000,5933700,1915,0,0, , ,4.88,10,10,10,1,1001760004,0,33,982432,200668,12a, ,101S036,10105, ,1001760004,11/30/1995,1, , ,17V1.1,0,408.8996754,10448.6678,3827700,14,0,13059,13063,47,10575,14.40400028,14.40400028,0,14.40400028,0,676.9880133 +13061,MN,281,59,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,13 DIVISION STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,HENRY MULBERRY RLTYCO,1546,6792,1350,5442,0,1350,0,0,0,0,2,1,5,8,9,25,61.83,25,50, ,3,N,5,2,94093,429663,0,0,1910,1986,0, , ,4.39,3.44,6,6.5,1,1002810059,0,8,985138,199377,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,170.7096813,1445.072248,335570,16,0,13060,13064,10,2250,35.10200119,38.61444473,3.512443542,35.77271194,1.343302221,357.7271194 +13062,MN,407,41,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,539 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,DORA COLLAZO PLAZA LT,2581,8270,0,8270,0,0,0,0,0,0,2,2,4,29,29,25,103.25,25,45, ,0,N,5,5,90000,873900,0,779400,1900,1997,0, , ,3.2,4,2,4,1,1004070041,0,34,990073,204940,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,260.4549059,2630.700756,783900,12,1,13061,13065,11,2475,11.62699986,12.97666645,1.349666595,12.04137369,0.479022939,132.4551106 +13063,MN,486,11,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,84 WOOSTER STREET,M1-5A, , , , , , , , , ,N,O6,5,0, ,CALLIOPE REALTY ASSOC,9942,65972,62972,3000,53547,9425,0,0,0,0,2,1,7,1,25,75,100.17,75,100, ,0,Y,5,2,2250000,18617400,0,0,1920,1982,0,SoHo-Cast Iron Historic District, ,6.64,0,5,6.5,1,1004860011,0,49,983953,202965,12a,Y,101N070,10206, ,0, ,1, , ,17V1.1,0,475.8961085,10472.39691,16367400,0,0,13062,13066,47,10575,11.1744442,20.56888771,9.394443512,11.95045366,2.281696012,561.6713219 +13064,MN,749,15,104,93,1000,2,3,10001,L024,10,15,5200,1,4,2A,343 WEST 25 STREET,R8, , , , , , , , , ,N,M3,8,0,P,ROMAN CATHOLIC CHURCH,4444,7925,7925,0,0,0,0,0,0,7925,2,1,3,0,2,45,98.75,42,96, ,2,N,5,1,428400,726300,0,0,1927,0,0, , ,1.78,6.02,0,6.5,1,1007490015,0,93,984480,211608,8d, ,105S008,10303, ,0, ,1, , ,17V1.1,0,303.6399283,4740.562433,297900,2,0,13063,13067,22,4950,24.09000015,25.58333206,1.493331909,24.3422223,0.473743573,535.5288906 +13065,MN,613,3,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,271 WEST 4 STREET,R6, , , , , , , , , ,N,S2,4,0, ,JANDALE REALTY INC,1792,3584,1183,2401,0,1183,0,0,0,0,2,1,3,2,3,35.83,50,35.83,25, ,3,N,5,2,59104,147639,0,0,1910,0,0,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1006130003,0,73,983350,207338,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,179.8233331,1944.547085,88535,8,0,13064,13068,9,2025,25.34199905,25.34199905,0,25.34199905,0,228.0779915 +13066,MN,446,25,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,334 EAST 5 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,334 EAST 5TH STREET C,2404,7001,0,7001,0,0,0,0,0,0,2,1,5,12,12,25,96.17,25,55, ,2,N,5,1,185850,791550,9440,9440,1900,1988,0, , ,2.91,4,0,4,1,1004460025,0,38,987713,203751,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,249.9587236,2547.145137,605700,1,0,13065,13069,12,2700,28.45888901,32.95333481,4.494445801,30.22212982,2.089871766,362.6655579 +13067,MN,293,10,103,16,3003,2,1,10002,L006,5,14,7400,1,3,1A,26 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"FAITH WONG, AS TRUSTE",1575,6450,1270,5180,0,1270,0,0,0,0,2,1,5,8,10,24.67,62.67,25,52, ,3,Y,5,2,60712,206819,0,0,1900,0,0, , ,4.1,3.44,6,6.5,1,1002930010,0,16,986103,199809,12d, ,101S030,10107, ,0, ,1, , ,17V1.1,0,185.5514525,1775.917043,146107,16,0,13066,13070,8,1800,41.23199844,43.39777756,2.165779114,41.50272083,0.716264116,332.0217667 +13068,MN,705,46,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,516 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,L9,6,0, ,50 HYMC OWNER LLC,28637,265562,265562,0,0,0,0,265562,0,0,2,4,12,0,6,145,197.5,100,197.5,E,0,N,5,2,1975500,22937400,0,0,1910,1989,2000, , ,9.27,10,10,10,1,1007050046,0,99,984130,214224,8d, ,105S016,10302,E-137,0, ,1, , ,17V1.1,0,704.3618877,29977.93916,20961900,6,0,13067,13071,134,30150,28.08399963,36.92333221,8.839332581,28.93132476,2.076331456,3876.797518 +13069,MN,271,43,103,6,4001,2,1,10002,E015,7,14,7800,1,3,1B,219 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,217-219 MADISON STREE,2612,10231,1000,9230,0,1000,0,0,0,0,2,1,5,20,21,26.08,100.17,26,90, ,3,N,5,1,103500,644850,0,0,1920,1988,0, , ,3.92,3.44,0,6.5,1,1002710043,0,6,987310,199032,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,259.6154052,2737.612353,541350,16,0,13068,13072,12,2700,17.21111107,20.05444527,2.843334198,17.44805559,0.785856057,209.376667 +13070,MN,612,2,102,73,6001,2,3,10014,Q018,6,15,6400,1,2,2K,257 WEST 4 STREET,R6, , , , , , , , , ,N,C2,2,0, ,LOUIS GARDELLA REVOCA,1067,2559,0,2559,0,0,0,0,0,0,2,1,3,5,5,21.33,50,21,39,E,3,N,5,5,139465,234579,0,0,1915,1987,0,Greenwich Village Historic District, ,2.4,2.43,0,4.8,1,1006120002,0,73,983391,207155,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,152.4181986,1199.255332,95114,8,0,13069,13073,6,1350,24.50222206,24.50222206,0,24.50222206,0,147.0133324 +13071,MN,803,46,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,108 WEST 28 STREET,C6-4X,M1-6, , , , , , , , ,Y,K4,4,0, ,FPK REALTY CORP C/O,1975,5860,5860,0,0,4600,0,1260,0,0,2,1,4,0,4,20,98.75,20,99,E,3,N,5,2,240750,768600,0,0,1910,0,0, , ,2.97,10,10,10,1,1008030046,0,95,986682,211098,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,238.7083639,1996.9862,527850,2,0,13070,13074,9,2025,37.16799927,41.90000153,4.732002258,37.79125892,1.478192892,340.1213303 +13072,MN,461,17,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,218 EAST 6 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,218 EAST 6TH STREETAS,2426,9380,0,9380,0,0,0,0,0,0,2,1,5,21,21,25,97,25,85, ,3,N,5,1,398250,1413450,0,0,1925,1989,0, , ,3.87,4,0,4,1,1004610017,0,38,987045,204412,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,253.2026123,2574.797108,1015200,1,0,13071,13075,11,2475,36.55199814,39.90000153,3.348003387,37.17325107,1.098066358,408.9057617 +13073,MN,767,68,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,250 WEST 18 STREET,C6-2A, , , , , , , , , ,N,W8,8,0,C,NYC EDUCATION,7176,39990,39990,0,39990,0,0,0,0,0,2,1,5,0,1,78,92,74,91, ,3,N,5,2,981000,4152600,981000,4152600,1945,1987,1983, , ,5.57,6.02,6,6.5,1,1007670068,0,81,984184,209542,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,340.3016689,7170.175277,3171600,7,0,13072,13076,32,7200,21.88888931,22.6511116,0.76222229,21.9269101,0.152196693,701.6611233 +13074,MN,767,2,104,81,2000,2,3,10011,L012,10,15,5600,1,4,1A,146 8 AVENUE,C1-6A, , , , , , , , , ,N,C5,2,0,P,ST. FRANCIS FRIENDSET,5250,19615,3000,16615,3000,0,0,0,0,0,2,1,5,87,89,52.5,100,53,80, ,3,N,5,2,220500,1426050,165375,1069542,1920,1986,0, , ,3.74,4,2,4,1,1007670002,0,81,984064,209509,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,307.7923743,5312.559517,1205550,7,0,13073,13077,23,5175,21.88888931,21.8975563,0.008666992,21.88926614,0.001767469,503.4531212 +13075,MN,283,70,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,158 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,"WEILGUS PROPERTIES,",2500,11587,2500,9087,0,2500,0,0,0,0,2,3,5,8,10,25,106.75,25,50, ,3,Y,4,5,98751,780000,0,0,1900,1987,0, , ,4.63,6.02,6,6.5,1,1002830070,0,6,986856,199501,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,263.6253853,2641.84811,681249,13,0,13074,13078,12,2700,32.80699921,35.29999924,2.493000031,33.11365668,0.735713402,397.3638802 +13076,MN,277,7502,103,8,2000,2,1,10002,E009,5,14,7800,1,3, ,50 HENRY STREET,R7-2, , , , , , , , , ,N,RM,4,0, , ,7533,31015,13438,17577,0,0,0,0,0,13438,2,1,12,32,33,75.25,100.33,0,0, ,0,Y,0,5,584999,4759338,251785,2027198,1991,0,0, , ,4.12,3.44,0,6.5,1,1002777502,856,8,985489,198937,12d, ,101S029,10107, ,1002770033,12/3/1993,1, , ,17V1.1,7,357.0040361,7773.514672,4174340,16,0,13075,13079,34,7650,26.91300011,31.17777824,4.264778137,27.21458177,1.018017091,925.2957802 +13077,MN,632,3,102,75,1000,2,3,10014,L005,6,15,6400,1,2,2K,689 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,A4,1,0, ,"SACKHEIM, CARL",5773,1892,0,1892,0,0,0,0,0,0,2,1,3,1,1,22.83,65,22.83,45, ,0,Y,5,2,78211,146873,0,0,1945,0,0,Greenwich Village Historic District Exte, ,0.33,4,2,4,1,1006320003,0,75,981968,206820,12a, ,103 011,10210, ,0, ,1, , ,17V1.1,0,182.7952187,1610.587255,68662,9,0,13076,13080,7,1575,15.84700012,17.5,1.652999878,16.68315833,0.738148104,116.7821083 +13078,MN,200,7501,103,29,2002,2,1,10013,E009,5,15,7700,1,3, ,198 CANAL STREET,C6-1G, , , , , , , , , ,N,RC,5,0, ,OWNER / AGENT,5025,32007,32007,0,13638,18369,0,0,0,0,2,1,6,0,19,0.11,0,0,0, ,0,N,5,5,804599,3747134,0,0,1915,0,0, , ,6.37,3.44,6,6.5,1,1002007501,801,29,984690,200406,12c, ,101S032,10105, ,1002000014,2/6/1992,1, , ,17V1.1,7,313.9474023,5498.823893,2942540,14,0,13077,13081,26,5850,28.79299927,33.77999878,4.986999512,29.15886681,1.195775138,758.130537 +13079,MN,611,67,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,135 WEST 10 STREET,R6,C1-6, , , , , , , , ,Y,C1,2,0, ,132132 COMPANY,4180,16968,0,16968,0,0,0,0,0,0,2,1,6,25,25,44,95,44,80, ,2,N,5,2,427950,3029850,0,0,1900,0,0,Greenwich Village Historic District, ,4.06,2.43,0,4.8,1,1006110067,0,71,984065,206980,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,287.2635519,4344.056443,2601900,8,0,13078,13082,20,4500,19.84000015,19.84000015,0,19.84000015,0,396.8000031 +13080,MN,618,42,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,205 WEST 13 STREET,R6, , , , , , , , , ,N,D1,3,0, ,205 WEST 13TH LLC C/O,2581,26700,0,26700,0,0,0,0,0,0,2,1,7,55,55,50,103.25,50,73, ,3,N,5,2,310500,3968550,0,1236168,1962,2003,0,Greenwich Village Historic District, ,10.34,2.43,0,4.8,1,1006180042,0,77,984086,208257,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,314.8436098,5424.561321,3658050,8,0,13079,13083,23,5175,22.30444527,25.83111,3.526664734,22.45777852,0.719196689,516.5289059 +13081,MN,508,40,102,43,1001,2,1,10012,L020,5,15,6800,1,2,1G,243 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,WING YUEN REALTY INC,1980,5850,1170,4680,0,1170,0,0,0,0,2,1,5,7,8,22,90,22,52, ,3,Y,5,2,27852,181966,0,0,1910,0,0, , ,2.95,6.02,6,6.5,1,1005080040,0,43,985874,202820,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,230.5215512,2039.458121,154114,9,0,13080,13084,10,2250,43.06000137,44.43488693,1.374885559,43.19748993,0.412465668,431.9748993 +13082,MN,720,73,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,452 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,452 WEST 23RD STREET,2370,6940,0,6940,0,0,0,0,0,0,2,1,5,9,9,24,98.75,24,64,E,3,N,5,2,87280,406606,0,0,1900,1983,0,Chelsea Historic District Extension, ,2.93,3,0,3,1,1007200073,0,93,983277,211468,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,252.5013754,2445.422101,319326,2,1,13081,13085,11,2475,9.369999886,11.08777714,1.717777252,9.821615999,0.595311588,108.037776 +13083,MN,51,1,101,13,2001,2,1,10006,E010,1,15,7700,1,1,1A,2 RECTOR STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,"2 RECTOR STREET (NY),",17626,400294,400294,0,390294,10000,0,0,0,0,2,1,26,0,69,118.58,142,116,138, ,3,Y,3,2,6975000,28516500,0,0,1907,1983,0, , ,22.71,10,15,15,1,1000510001,0,13,980599,197252,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,557.7950239,18950.6677,21541500,15,1,13082,13086,83,18675,16.40399933,16.8579998,0.454000473,16.40946921,0.049531917,1361.985945 +13084,MN,846,14,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,17 EAST 17 STREET,M1-5M, , , , , , , , , ,N,S3,4,0,P,"17 EAST MR. P., .",1925,14092,3726,10366,0,1950,0,1776,0,0,2,1,7,3,4,25,79.75,25,78, ,3,Y,5,2,319274,1551312,0,0,1900,2009,2013,Ladies' Mile Historic District, ,7.32,0,5,6.5,1,1008460014,0,52,986753,208004,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,218.6744365,2143.349471,1232040,7,0,13083,13087,9,2025,39.36555481,39.36555481,0,39.36555481,0,354.2899933 +13085,MN,906,14,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,225 EAST 25 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,GRAND CONCOURSE/DAVID,2469,9920,0,9920,0,0,0,0,0,0,2,1,5,21,21,25,98.75,25,88, ,3,N,5,2,127800,1517850,0,0,1920,1959,0, , ,4.02,4,0,4,1,1009060014,0,66,989542,208809,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,252.7566597,2516.599196,1390050,11,0,13084,13088,11,2475,29.90777779,29.90777779,0,29.90777779,0,328.9855556 +13086,MN,846,11,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1B,11 EAST 17 STREET,M1-5M, , , , , , , , , ,N,D7,4,0, ,"TRIAD 11 EAST, LLC",2650,18403,2600,15803,0,2600,0,0,0,0,2,1,7,9,10,25,105.83,25,105,E,3,Y,5,2,61260,1136947,0,0,1915,2009,2009,Ladies' Mile Historic District, ,6.94,0,5,6.5,1,1008460011,0,52,986694,208051,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,272.6226319,2683.511303,1075690,7,0,13085,13089,11,2475,39.36555481,39.36555481,0,39.36555481,0,433.0211029 +13087,MN,16,7512,101,317.03,2010,2,1,10282,L010,1,15,8900,1,1, ,102 NORTH END AVENUE,BPC, , , , , ,BPC, , , ,N,RC,5,0,X, ,79338,628200,215884,0,0,215884,0,0,0,0,2,1,14,0,2,259,269,0,0, ,0,Y,0,5,8063550,97859250,8063550,97859250,1988,0,0, , ,7.92,0,0,0,1,1000167512,1163,31703,980015,199767,12b, ,11S 092,10101, ,1000160250,12/20/2000,1, , ,17V1.1,7,1152.108687,85029.63202,89795696,3,1,13086,13090,374,84150,12.52444458,14.6455555,2.121110916,13.07876938,0.265757582,4891.459749 +13088,MN,770,44,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,204 WEST 21 STREET,R8A, , , ,C2-5, , , , , ,N,A4,1,0, ,"SENEQUIER, HERVE",1478,3365,0,2475,0,0,0,0,0,0,2,1,3,1,1,22.5,69,23,46,E,3,Y,5,5,199560,224400,0,0,1910,2016,2016, , ,2.28,6,0,6,1,1007700044,0,87,985051,209913,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,187.8190438,1578.631361,24840,7,0,13087,13091,7,1575,22.20999908,29.03000069,6.820001602,26.00606346,2.852252224,182.0424442 +13089,MN,550,4,102,59,2001,2,1,10003,E033,6,15,5700,1,2,2A,4 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,W6,8,0, ,NEW YORK UNIVERSITY,4470,10495,10495,0,0,0,0,0,0,10495,2,2,3.5,0,2,27.67,161,27.67,146,E,3,Y,4,2,429300,916200,429300,870750,1900,0,0,Greenwich Village Historic District, ,2.35,2.43,0,4.8,1,1005500004,0,59,985431,205659,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,386.8569327,4603.751312,486900,9,0,13088,13092,20,4500,27.46111107,31.32011223,3.85900116,27.66086664,0.840011017,553.2173328 +13090,MN,720,74,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,454 WEST 23 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,454 CHELSEA OWNERS CO,2172,6349,0,6349,0,0,0,0,0,0,2,1,5,10,10,22,98.75,22,59, ,3,N,5,2,109388,510883,2360,2360,1900,0,0,Chelsea Historic District Extension, ,2.92,3,0,3,1,1007200074,0,93,983256,211479,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,248.8529512,2258.709369,401495,2,1,13089,13093,11,2475,9.369999886,11.48888874,2.118888855,9.568080729,0.607655241,105.248888 +13091,MN,397,27,103,30.02,1001,1,2,10009,E028,9,14,6600,1,3,3A,191 EAST 2 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,A4,1,0, ,MIYOUNG JOO,2038,1362,0,1362,0,0,0,0,0,0,2,1,3,1,1,19.33,105.42,18,51.5, ,3,N,3,2,7622,37324,1550,1550,1899,0,0, , ,0.67,4,0,4,1,1003970027,0,3002,988617,202358,12c, ,102 012,10203,E-216,0, ,1, , ,17V1.1,0,254.6204247,2036.725779,29702,1,0,13090,13094,8,1800,19.55999947,21.89888763,2.338888168,20.53374958,1.003450711,164.2699966 +13092,MN,911,52,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,222 EAST 31 STREET,R7B, , , , , , , , , ,N,S2,4,0, ,222 EAST 31ST ST. REA,1901,4774,1924,2850,0,1924,0,0,0,0,2,1,4,2,3,19.25,98.75,19.25,50,E,3,N,5,5,183895,217455,0,0,1901,0,0, , ,2.51,3,0,3,1,1009110052,0,70,990168,210049,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,243.6985115,1945.403181,33560,10,0,13091,13095,9,2025,29.22888947,32.35333252,3.124443054,30.60555564,1.092480198,275.4500008 +13093,MN,613,5,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,275 WEST 4 STREET,R6, , , , , , , , , ,N,S2,4,0, ,JANDALE REALTY INC,850,2364,780,1584,0,780,0,0,0,0,2,1,3,2,3,17.92,50,17.92,28, ,3,N,5,5,38360,86260,0,0,1910,0,0,Greenwich Village Historic District, ,2.78,2.43,0,4.8,1,1006130005,0,73,983344,207365,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,144.2436343,990.4218633,47900,8,0,13092,13096,4,900,25.34199905,25.34199905,0,25.34199905,0,101.3679962 +13094,MN,742,47,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,314 WEST 19 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,314 WEST 19TH CORP,1748,6595,0,6595,0,0,0,0,0,0,2,1,5,9,9,18.83,92,19,76, ,3,N,5,2,83185,388940,2360,2360,1920,0,1999, , ,3.77,3,0,3,1,1007420047,0,89,983927,209962,8b,Y,103 037,10303, ,0, ,1, , ,17V1.1,0,226.2293184,1814.129919,305755,7,0,13093,13097,8,1800,15.59444427,17.94755554,2.353111267,15.88858318,0.778218402,127.1086655 +13095,MN,806,66,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,142 WEST 31 STREET,M1-6, , , , , , , , , ,N,Y1,8,0,C,FIRE DEPARTMENT,7417,10000,10000,0,0,0,0,0,0,10000,2,1,3,0,1,75,98.75,60,88, ,1,N,5,2,1129500,1834650,1129500,1834650,1947,0,0, , ,1.35,0,10,10,1,1008060066,0,101,986699,211973,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,344.5205777,7239.370316,705150,6,0,13094,13098,33,7425,38.09222031,39.74111176,1.648891449,38.64805776,0.231401463,1275.385906 +13096,MN,436,29,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,141 AVENUE A,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,141 AVENUE A ASSOCIAT,2335,10900,1600,9300,0,1600,0,0,0,0,2,2,5,8,10,27,86.5,27,62, ,0,N,3,2,108745,365943,0,0,1888,0,0, , ,4.67,4,0,4,1,1004360029,0,32,988965,204238,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,237.0873905,2615.66845,257198,12,0,13095,13099,11,2475,17.84799957,19.18777847,1.3397789,17.96979765,0.385159353,197.6677742 +13097,MN,548,1,102,59,3001,2,1,10003,E033,6,15,5700,1,2,2A,1 UNIVERSITY PLACE,R7-2, , , , , , , , , ,N,D6,4,0, ,PIK RECORD CO,12527,218985,18985,200000,0,18985,0,0,0,0,2,1,21,263,270,77.83,141.42,76,140, ,3,Y,3,2,2452500,23368500,0,0,1930,1987,0, , ,17.48,3.44,0,6.5,1,1005480001,0,59,985617,205492,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,505.7211391,13853.18007,20916000,9,0,13096,13100,60,13500,32.58000183,33.25299835,0.672996521,33.22403361,0.127945506,1993.442017 +13098,MN,65,17,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1A,176 BROADWAY,C5-5, , , , , ,LM, , , ,N,D4,3,0,P,176 BROADWAY OWNERS C,11960,168176,11000,157176,0,11000,0,0,0,0,2,1,14,76,83,75.17,134.92,78,135, ,3,Y,5,2,3375000,15661350,281688,281688,1927,1979,0, , ,14.06,10,15,15,1,1000650017,0,1502,981615,197887,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,487.2560794,12960.26521,12286400,3,0,13097,13101,56,12600,29.17399979,33.04666901,3.87266922,29.25702759,0.521246431,1638.393545 +13099,MN,27,7501,101,7,1021,2,1,10005,L015,1,15,7700, ,1, ,55 WALL STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,CIPRIANUI CLUB RESIDE,31469,188278,81145,107133,0,81145,0,0,0,0,2,1,9,107,108,197.94,171.79,204,171, ,0,Y,1,5,7514999,42322505,0,1106962,1836,0,0, ,FIRST NATIONAL CITY BANK,5.98,10,15,15,1,1000277501,1424,7,981660,196466,12b, ,11S 006,10101, ,1000270001,4/21/2005,1, , ,17V1.1,7,763.1771487,35679.0048,34807500,17,0,13098,13102,158,35550,19.31333351,26.0288887,6.715555191,20.18284921,1.469156622,3188.890175 +13100,MN,150,5,101,33,1009,2,1,10007,L001,1,15,7700,1,1,3A,64 READE STREET,C6-2A, , , , , , , , , ,N,L8,6,0,P,"SEA REALTY, INC.",1934,8900,7200,1700,0,1700,0,5500,0,0,2,1,5,1,7,24.33,77.92,24,78, ,3,Y,5,2,102600,555300,0,0,1915,1989,0,Tribeca South Historic District, ,4.6,6.02,6,6.5,1,1001500005,0,33,982436,199839,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,214.2494627,2031.682597,452700,14,0,13099,13103,9,2025,23.54111099,23.54111099,0,23.54111099,0,211.8699989 +13101,MN,551,21,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,26 WEST 8 STREET,C4-5,R6, , , , ,LC, , , ,Y,C7,4,0, ,RETURN TO HOME LLC,2450,9603,2156,7447,0,2156,0,0,0,0,2,2,4,7,9,24.5,100,24.5,44, ,3,N,5,5,354696,1286295,0,0,1900,0,0,Greenwich Village Historic District, ,3.92,3.44,3.4,6.5,1,1005510021,0,63,984841,206199,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,250.5122253,2359.799566,931599,8,0,13100,13104,11,2475,22.1970005,22.1970005,0,22.1970005,0,244.1670055 +13102,MN,355,52,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,251 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,S3,4,0, ,ARGENTO GINA J,1406,2450,800,1650,0,800,0,0,0,0,2,1,3,3,4,18.75,75,18.75,40,E,0,N,5,5,20960,30585,0,0,1900,0,0, , ,1.74,6,0,6,1,1003550052,0,3001,988311,202190,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,193.3367716,1409.948428,9625,1,0,13101,13105,5,1125,23.94333458,23.94333458,0,23.94333458,0,119.7166729 +13103,MN,619,39,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,107 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,NYC CHRIS HOLDINGS LL,4000,17226,1375,15851,0,1375,0,0,0,0,2,1,6,22,24,44.92,91.5,45,78, ,3,Y,5,2,225000,3358800,0,0,1905,1987,0,Greenwich Village Historic District, ,4.31,2.43,0,4.8,1,1006190039,0,73,982827,206492,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,282.8395322,4271.103441,3133800,9,0,13102,13106,19,4275,20.56999969,21.61499977,1.045000076,20.6249997,0.233345255,391.8749943 +13104,MN,614,17,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,30 BANK STREET,R6, , , , , , , , , ,N,B1,1,0,P,THOMPSON LOUISE S,1860,3800,0,2850,0,0,0,0,0,0,2,1,2,2,2,19.5,93,19.5,42,E,3,Y,5,1,73136,232988,1550,1550,1899,0,0,Greenwich Village Historic District, ,2.04,2.43,0,4.8,1,1006140017,0,77,983505,207710,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,233.166512,1886.003937,159852,8,0,13103,13107,8,1800,26.80333328,29.74666595,2.943332672,27.47916651,1.172372521,219.8333321 +13105,MN,924,130,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,351 EAST 18 STREET,C1-6A, , , , , , , , , ,N,S0,4,0, ,351 EAST 18TH STREET,1139,3300,990,2310,0,990,0,0,0,0,2,1,3,1,3,49.5,23,49.5,23, ,0,N,5,5,65741,149299,0,0,1910,1975,0, , ,2.9,4,2,4,1,1009240130,0,48,989494,206732,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,151.2678943,1272.074898,83558,5,0,13104,13108,6,1350,14.83555603,15.4244442,0.588888168,14.93370406,0.219465663,89.60222435 +13106,MN,435,34,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,117 AVENUE A,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,117 AVENUE A LLC,2433,5840,1500,4340,0,1500,0,0,0,0,2,1,4,3,4,24.33,100,24.33,50,E,0,N,5,5,96284,143380,0,0,1900,0,0, , ,2.4,4,0,4,1,1004350034,0,32,988792,203940,12c, ,102 020,10205,E-216,0, ,1, , ,17V1.1,0,256.3010435,2511.612502,47096,12,0,13105,13109,12,2700,19.01099968,19.98800087,0.97700119,19.09241645,0.270028864,229.1089973 +13107,MN,273,29,103,6,1002,2,1,10002,E015,7,14,7800,1,3,1B,140 HENRY STREET,R7-2, , , , , , , , , ,N,C3,2,0,P,LING JIENG ZHANG,2383,4474,0,4474,0,0,0,0,0,0,2,1,3,4,4,23.83,100,24,69, ,3,N,5,5,75880,112556,0,0,1910,1988,0, , ,1.88,3.44,0,6.5,1,1002730029,0,6,986871,199088,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,251.8008582,2374.687739,36676,16,0,13106,13110,10,2250,23.87533379,29.3077774,5.432443619,25.8538002,1.978259675,258.538002 +13108,MN,584,34,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,69 BEDFORD STREET,R6, , , , , , , , , ,N,A9,1,0, ,"SPEARS, DOROTHY PARKE",1600,3200,0,2400,0,0,0,0,0,0,2,1,3,1,1,20,80,20,40, ,3,N,5,1,38053,171382,0,0,1901,1999,0,Greenwich Village Historic District, ,2,2.43,0,4.8,1,1005840034,0,67,982877,205661,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,202.7317473,1574.914265,133329,9,0,13107,13111,7,1575,16.16111183,17.03000069,0.868888855,16.36682619,0.334857667,114.5677834 +13109,MN,588,47,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,118 CHRISTOPHER STREET,R6, , , , , , , , , ,N,C7,4,0, ,M&E CHRISTOPHER,1687,8545,2125,6420,0,2125,0,0,0,0,2,1,5,18,20,25.92,86.58,28,71, ,3,Y,5,2,194850,1228500,0,0,1900,2003,0,Greenwich Village Historic District, ,5.07,2.43,0,4.8,1,1005880047,0,73,982740,206339,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,221.976319,2098.134463,1033650,9,0,13108,13112,8,1800,20.90555573,20.90555573,0,20.90555573,0,167.2444458 +13110,MN,849,31,105,52,1000,2,2,10003,E014,13,15,5700,1,5,1O,45 EAST 20 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,ABNER PROPERTIES CO,4600,65600,65600,0,61500,4100,0,0,0,0,2,1,12,0,16,50,92,50,90,E,0,N,5,2,1273500,4470750,0,0,1911,0,0,Ladies' Mile Historic District, ,14.26,0,5,6.5,1,1008490031,0,52,987489,208439,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,292.8719561,4809.613602,3197250,5,0,13109,13113,23,5175,34.69888687,34.69888687,0,34.69888687,0,798.074398 +13111,MN,460,7501,103,38,3000,1,2,10003,E028,9,14,6500,3,3, ,220 EAST 5 STREET,R8B, , , , , , , , , ,N,R1,2,0, ,OWNER / AGENT,3870,8706,0,8706,0,0,0,0,0,0,2,1,5,10,10,41.92,92.33,0,0, ,0,N,5,5,165938,1322520,7080,7080,1900,0,0,East Village/Lower East Side Historic Di, ,2.25,4,0,4,1,1004607501,745,38,986935,204186,12c, ,102 009,10205, ,1004600021,2/26/1991,1, , ,17V1.1,7,271.7781786,3939.254117,1156580,1,0,13110,13114,18,4050,35.65444565,39.94666672,4.292221069,36.26740858,1.382854512,652.8133545 +13112,MN,448,12,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,56 EAST 7 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,CHES REALTY LLC,2498,9425,0,9425,0,0,0,0,0,0,2,1,5,20,20,25,99.92,25,87, ,3,N,5,1,229500,1305900,0,0,1920,1987,0,East Village/Lower East Side Historic Di, ,3.77,4,0,4,1,1004480012,0,38,987734,204306,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,256.4126965,2615.07432,1076400,12,0,13111,13115,12,2700,27.1590004,30.36322212,3.204221725,27.5141023,0.904123788,330.1692276 +13113,MN,847,38,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,222 PARK AVENUE SOUTH,C6-4A,M1-5M, , , , , , , , ,Y,D0,3,0,P,GRAMERCY 222 RESIDENT,8960,106841,18720,88121,0,18720,0,0,0,0,2,1,12,53,54,53,160,53,160, ,2,Y,3,2,1689300,12037050,235860,235860,1910,1978,0, , ,11.92,10,10,10,1,1008470038,0,52,987325,207949,12c, ,102 044,10306, ,0, ,1, , ,17V1.1,0,503.5824715,10291.81269,10347800,7,0,13112,13116,46,10350,36.35800171,40.33333206,3.975330353,36.4698954,0.588961748,1677.615189 +13114,MN,381,38,103,28,4005,1,2,10009,L011,9,14,6300,1,3,4A,730 EAST 12 STREET,R7-2, , , , , , , , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,55549,54656,54656,0,0,0,0,0,0,54656,2,1,3,0,101,269,206.5,269,200, ,1,N,3,2,2686500,8621550,2686500,8621550,1954,0,0, , ,0.98,3.44,0,6.5,1,1003810038,0,28,991163,203782,12c, ,102 031,10202, ,0, ,1,1,1,17V1.1,0,972.4081064,58399.08516,5935050,12,1,13113,13117,261,58725,8.287777901,13.40111065,5.113332748,9.761255915,0.805049267,2547.687794 +13115,MN,861,32,105,74,2002,2,2,10016,L007,14,15,5200,1,5,1A,41 EAST 31 STREET,C5-2, , , , , , , , , ,N,K4,4,0, ,MARJAN INTERNATIONALC,4340,11202,11202,0,0,3916,0,7286,0,0,2,1,3,0,1,43.92,98.75,44,89, ,3,Y,5,2,630000,1309500,0,0,1912,1912,0, , ,2.58,10,10,10,1,1008610032,0,74,988900,210923,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,295.930045,4284.274589,679500,10,0,13114,13118,19,4275,37.62444687,37.62444687,0,37.62444687,0,714.8644905 +13116,MN,906,31,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,455 2 AVENUE,C1-8A, , , , , , , , , ,N,C7,4,0,P,"455 SECOND AVENUE, LL",2160,6030,990,5040,0,990,0,0,0,0,2,2,4,12,13,36,60,36,55, ,3,N,5,2,225000,869850,0,0,1930,1948,0, , ,2.79,7.52,2,7.5,1,1009060031,0,66,989823,208782,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,197.7370999,2302.647403,644850,11,0,13115,13119,10,2250,30.96199989,31.23666763,0.27466774,30.9923111,0.081892463,309.923111 +13117,MN,634,42,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,335 WEST 11 STREET,R6,C1-6A, , , , , , , , ,Y,A5,1,0, ,MOORE JULIANNE,2027,4004,0,3150,0,0,0,0,0,0,2,1,3.5,1,1,21.33,95,21,43,E,3,N,5,1,74263,337868,0,0,1905,1987,2003,Greenwich Village Historic District, ,1.98,2.43,0,4.8,1,1006340042,0,75,982080,207345,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,242.7935539,2239.871795,263605,9,0,13116,13120,10,2250,15.82699966,17.39444351,1.567443848,16.33243332,0.643544158,163.3243332 +13118,MN,928,1,106,64,5000,2,2,10010,E005,13,14,5900,1,6,1B,382 2 AVENUE,C1-9A,R6B, , , , , , , , ,Y,D4,3,0, ,301 EAST 22ND STREET,19684,189616,7500,182116,0,7500,0,0,0,0,2,1,16,262,266,98.75,199.33,97,220, ,1,N,3,2,2484000,25855650,610620,610620,1965,1986,0, , ,9.63,10,2,10,1,1009280001,0,64,989575,207862,12c, ,104 009,10309, ,0, ,1, , ,17V1.1,0,605.953048,20386.84612,23371700,11,0,13117,13121,91,20475,14.22500038,21.17333412,6.94833374,14.4901982,1.225727152,1318.608036 +13119,MN,75,1,101,15.02,2003,2,1,10038,E006,1,15,7700,1,1, ,127 JOHN STREET,C6-4, , , , , ,LM, , , ,N,D8,3,0,P,200 WATER SPE L.L.C.,33294,541000,12000,529000,0,12000,0,0,0,0,2,1,31,576,579,100,270.58,84,243, ,1,Y,1,2,9585000,64287450,0,0,1973,1998,0, , ,16.25,10,10,10,1,1000750001,0,1502,982937,197005,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,949.2020792,35745.4652,54702400,4,1,13118,13122,161,36225,6.167778015,8.973333359,2.805555344,7.333574674,0.483277712,1180.705523 +13120,MN,584,23,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,48 COMMERCE STREET,R6, , , , , , , , , ,N,C5,2,0, ,"STEELE, NORMAN L",1412,3985,0,3985,0,0,0,0,0,0,2,1,4,7,8,19.92,55.67,20,40, ,3,Y,5,1,105588,315270,0,0,1930,1983,0,Greenwich Village Historic District, ,2.82,2.43,0,4.8,1,1005840023,0,67,982656,205694,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,173.7753171,1381.999988,209682,9,0,13119,13123,5,1125,16.16111183,19.90777779,3.746665955,16.91044502,1.498666382,84.55222511 +13121,MN,522,24,102,55.02,2006,2,1,10012,L009,9,15,5700,1,2,2A,153 CROSBY STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,WIN RESTAURANT ETC,7900,41207,41207,0,0,32966,0,8241,0,0,2,1,5,0,2,110.25,81.83,70,78, ,2,Y,3,2,1255500,7946550,0,0,1910,1982,2004,NoHo Historic District, ,5.22,0,5,6.5,1,1005220024,0,5502,985524,203566,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,369.8073676,8301.575896,6691050,9,0,13120,13124,37,8325,40.66999817,42.55222321,1.882225037,41.10453322,0.698165252,1520.867729 +13122,MN,195,14,101,31,1004,2,1,10013,L001,5,15,7700,1,1,3B,87 WALKER STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,87 WALKER STREET REAL,2300,12800,12800,0,10600,2200,0,0,0,0,2,1,6,0,15,24,95,24,95, ,3,Y,5,2,117450,944550,0,0,1915,0,0,Tribeca East Historic District, ,5.57,6.02,6,6.5,1,1001950014,0,31,983829,200842,12a, ,101N047,10105,E-208,0, ,1, , ,17V1.1,0,244.2731263,2298.747884,827100,14,0,13121,13125,11,2475,13.85000038,13.85000038,0,13.85000038,0,152.3500042 +13123,MN,830,77,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1A,52 WEST 29 STREET,C6-4X, , , , , , , , , ,N,K4,4,0, ,CORCAR LTD,1646,2482,2482,0,0,1632,0,850,0,0,2,1,3,0,1,16.67,98.75,17,96,E,3,N,5,2,180000,390150,0,0,1910,0,0, , ,1.51,10,10,10,1,1008300077,0,76,987079,211173,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,233.3165756,1525.417307,210150,6,0,13122,13126,7,1575,44.30633163,44.45100021,0.144668579,44.43033327,0.050623457,311.0123329 +13124,MN,924,46,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,338 EAST 19 STREET,R7B, , , , , , , , , ,N,C4,2,0,X,COMMUNITY CHRIST THEC,1840,4080,0,4080,0,0,0,0,0,0,2,1,4,7,7,20,92,20,51, ,3,N,5,2,62559,267330,62559,267330,1901,1986,0, , ,2.22,3,0,3,1,1009240046,0,48,989403,206931,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,231.4382053,1990.209632,204771,5,0,13123,13127,9,2025,14.83555603,18.11555481,3.279998779,15.3886421,1.003208432,138.4977789 +13125,MN,547,26,102,57,2001,2,1,10003,E033,6,15,5700,1,2,2A,3 WASHINGTON PLACE,C6-2, , , , , , , , , ,N,W6,8,0,X,NEW YORK UNIVERSITY,4062,28572,28572,0,0,0,0,0,0,28572,2,1,6,0,2,52,91.58,52,91.58, ,3,N,3,2,580500,3965400,580500,3965400,1900,0,0,NoHo Historic District, ,7.03,6.02,6,6.5,1,1005470026,0,57,985845,205055,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,300.271456,5055.793509,3384900,9,0,13124,13128,22,4950,39.90999985,40.64355469,0.73355484,40.19079919,0.12094498,884.1975822 +13126,MN,455,41,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,221 1 AVENUE,C1-7A, , , , , , , , , ,N,S3,4,0,P,SOAM INC.,1204,3954,800,3154,0,800,0,0,0,0,2,1,4,3,4,21.5,56,22,55, ,3,N,5,5,136446,203299,0,0,1910,0,0, , ,3.28,6.02,2,6.5,1,1004550041,0,40,988903,205567,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,160.538562,1281.590519,66853,12,0,13125,13129,5,1125,22.17099953,22.17099953,0,22.17099953,0,110.8549976 +13127,MN,574,63,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,37 WEST 10 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"CAUDWELL, REBEKAH",2321,6253,0,6253,0,0,0,0,0,0,2,1,5,1,1,24.5,94.75,24,90, ,3,N,5,2,181485,476382,0,0,1900,2014,2009,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1005740063,0,63,985032,206833,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,246.9092524,2450.319884,294897,8,0,13126,13130,9,2025,20.66300011,26.17000008,5.506999969,21.89422226,2.21125446,197.0480003 +13128,MN,636,1,102,75,1007,2,3,10014,L005,6,15,6400,1,2,2B,388 WEST STREET,C1-6A, , , , , , , , , ,N,K1,5,0, ,388 WEST ST REALTY GR,2442,2442,2442,0,0,2442,0,0,0,0,2,1,1,0,2,88.75,30,88.75,30, ,2,Y,3,0,904500,1409850,0,0,1940,0,0,Weehawken Street Historic District, ,1,4,2,4,1,1006360001,0,75,981480,206212,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,225.5204378,2503.534418,505350,9,1,13127,13131,11,2475,7.669555664,7.756222248,0.086666584,7.725495165,0.019819614,84.98044682 +13129,MN,875,1,105,50,1003,2,2,10003,E014,13,14,5300,1,5,1A,235 PARK AVENUE SOUTH,C6-4A,R8B, , , , , , , , ,Y,O6,5,0, ,235 PARK AVENUE SOUTH,6900,67376,67376,0,58749,8627,0,0,0,0,2,1,12,0,13,46,125,46,125, ,0,Y,3,5,3019500,7620750,0,0,1921,1987,0, , ,9.76,10,10,10,1,1008750001,0,50,987664,208038,12c,Y,102 046,10307, ,0, ,1, , ,17V1.1,0,454.4934082,7658.132527,4601250,5,0,13128,13132,35,7875,30.81999969,35.79444504,4.974445343,31.14677756,1.165844396,1090.137215 +13130,MN,209,35,102,45,1010,2,1,10013,E055,5,15,6800,1,2,1A,275 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,275 CANAL STREET ASSO,2362,11000,11000,0,0,2362,0,8638,0,0,2,1,5,0,4,25.08,96.83,25,90,E,3,Y,5,2,251100,889650,0,0,1915,0,0,SoHo-Cast Iron Historic District Extensi, ,4.66,0,5,6.5,1,1002090035,0,45,983918,201323,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,250.9596709,2483.399858,638550,0,0,13129,13133,9,2025,11.84555531,11.84555531,0,11.84555531,0,106.6099977 +13131,MN,586,16,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,14 LEROY STREET,R6, , , , , , , , , ,N,B3,1,0, ,14 LEROY STREET DARLI,1600,4360,0,3270,0,0,0,0,0,0,2,1,4,2,2,20,80,20,52, ,3,N,5,1,62498,178361,0,0,1798,2015,0,Greenwich Village Historic District Exte, ,2.73,2.43,0,4.8,1,1005860016,0,67,983350,205455,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,203.7585478,1600.404751,115863,9,0,13130,13134,7,1575,15.38333321,17.20555496,1.822221756,15.6436506,0.637644786,109.5055542 +13132,MN,572,15,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,54 WEST 9 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"PETER, STEFAN",1565,4060,0,4060,0,0,0,0,0,0,2,1,4,5,5,16.67,93.92,17,58, ,3,N,5,5,356393,597794,0,0,1900,1960,0,Greenwich Village Historic District, ,2.59,2.43,0,4.8,1,1005720015,0,63,984666,206583,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,228.3010405,1603.095239,241401,8,0,13131,13135,8,1800,18.70499992,21.56333351,2.858333588,19.65312505,1.24968412,157.2250004 +13133,MN,570,22,102,61,1001,2,2,10003,L003,6,15,5700,1,2,3A,116 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,D7,4,0, ,116 UNIVERSITY DEVELO,3335,19421,2134,17287,0,2134,0,0,0,0,2,3,7,6,7,30.75,96.08,30,90, ,0,Y,3,5,305100,357750,0,0,0,0,0, , ,5.82,6.02,2,6.5,1,1005700022,0,61,986292,206892,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,283.6730243,3657.283416,52650,8,0,13132,13136,17,3825,33.2820015,37.67333221,4.391330719,33.97504694,1.51163918,577.575798 +13134,MN,611,70,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,141 WEST 10 STREET,R6, , , , , , , , , ,N,C7,4,0, ,VALOR REALTY LLC,4180,16548,2090,14458,0,2090,0,0,0,0,2,1,6,24,25,44,95,44,80, ,3,N,5,2,351450,3465000,0,0,1920,1986,0,Greenwich Village Historic District, ,3.96,2.43,0,4.8,1,1006110070,0,71,984000,206967,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,290.8119243,4526.637521,3113550,8,0,13133,13137,22,4950,19.84000015,21.51444435,1.674444199,19.91611125,0.348784877,438.1544476 +13135,MN,590,73,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,182 WEST 4 STREET,R6, , , ,C1-5, , , , , ,N,C7,4,0,P,A B ILIBASSI RLTY CO,3550,16220,3200,13020,0,3200,0,0,0,0,2,1,5,20,25,101.17,44.83,101,45, ,3,Y,3,2,389250,2392650,0,0,1910,1982,0,Greenwich Village Historic District Exte, ,4.57,2.43,0,4.8,1,1005900073,0,67,983710,206120,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,281.3710963,3876.243208,2003400,9,0,13134,13138,16,3600,19.74111176,20.4244442,0.683332443,19.78382003,0.165408448,316.5411205 +13136,MN,485,7502,102,49,1008,2,1,10012,E055,1,15,6800,1,2, ,60 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,5025,23372,8271,15101,0,8271,0,0,0,0,2,1,5,5,7,50.25,100,50,92, ,0,N,1,5,115605,1190225,16638,80863,1873,1999,0,SoHo-Cast Iron Historic District, ,4.65,0,5,6.5,1,1004857502,1112,49,984006,202618,12c,Y,11N 070,10206, ,1004850001,2/29/2000,1, , ,17V1.1,7,307.7101346,5213.69221,1074620,0,0,13135,13139,23,5175,17.71444511,19.46444511,1.75,17.79053207,0.35687946,409.1822376 +13137,MN,871,55,106,50,4000,2,2,10003,E005,13,14,5300,1,6,1A,130 EAST 16 STREET,R8B, , , , , , , , , ,N,W9,8,0, ,BLUE DOOR REALTY LLC,2581,7030,7030,0,2812,0,0,0,0,4218,2,1,5,0,3,25,103.25,25,55, ,3,N,5,2,414000,1356300,0,0,1920,1987,0, , ,2.72,4,0,4,1,1008710055,0,50,987742,207009,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,263.7177784,2585.114372,942300,5,0,13136,13140,12,2700,33.78900146,33.96933365,0.180332184,33.80402915,0.049841183,405.6483498 +13138,MN,284,7502,103,6,3001,2,1,10002,E015,7,14,7800,1,3, ,165 HENRY STREET,R7-2, , , , , , , , , ,N,R4,3,0, ,HENRY STREET CONDOMIN,6540,19142,0,19142,0,0,0,0,0,0,2,1,5,30,30,87,75,0,0, ,0,N,5,5,337501,1923752,20978,47453,1928,1986,0, , ,2.93,3.44,0,6.5,1,1002847502,279,6,987221,199273,12d, ,101N056,10107, ,1002840006,3/12/1986,1, , ,17V1.1,7,334.8324083,6995.547625,1586250,16,0,13137,13141,30,6750,20.93000031,25.61888886,4.68888855,21.99296366,1.384990571,659.7889099 +13139,MN,235,10,102,41,5002,2,1,10013,E055,5,15,6800,1,2,1A,218 CENTRE STREET,M1-5B, , , , , , , , , ,N,L9,6,0,P,128 GLOBE INCORPORATE,884,4420,4420,0,0,884,0,3536,0,0,2,1,5,4,5,23.58,38,24,36, ,3,Y,5,2,55350,424350,0,0,1900,1983,0, , ,5,0,5,6.5,1,1002350010,0,41,984612,201337,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,128.5337223,959.9918235,369000,0,0,13138,13142,4,900,18.99699974,18.99699974,0,18.99699974,0,75.98799896 +13140,MN,901,6,106,64,2001,2,2,10003,E005,13,14,5900,1,6,1A,205 EAST 20 STREET,R8B,C1-9A, , , , , , , , ,Y,Y2,8,0,C,POLICE DEPARTMENT,42412,313625,313625,0,313625,0,0,0,0,0,2,1,9,0,1,335,184,334.75,183.92, ,0,Y,5,2,4905000,23306850,4905000,23306850,1964,0,0, , ,7.39,4,0,4,1,1009010006,0,64,988874,207673,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,1139.592814,44096.5619,18401900,5,0,13139,13143,196,44100,19.86555672,25.48555565,5.619998932,19.92044897,0.463996451,3904.407997 +13141,MN,459,46,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,7 EAST 3 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,7 E 3RD ST HOUSING DE,2404,10000,1000,9000,0,1000,0,0,0,0,2,1,5,14,15,25,96.17,25,80, ,0,N,5,5,58950,405000,58950,405000,1920,1998,0,East Village/Lower East Side Historic Di, ,4.16,4,0,4,1,1004590046,0,38,986734,203892,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,249.9712934,2536.864422,346050,1,0,13140,13144,12,2700,35.86666489,36.25400162,0.387336731,36.1894455,0.144351877,434.2733459 +13142,MN,502,2,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,90 THOMPSON STREET,R7-2,M1-5A, , , , , , , , ,Y,C7,4,0,P,HOSKOB ASSOCIATES LLC,4700,20196,4050,16146,0,4050,0,0,0,0,2,1,6,27,29,50,94.25,50,80, ,2,N,5,2,422100,3345300,0,0,1900,1985,2004,Sullivan-Thompson Historic District, ,4.3,3.44,0,6.5,1,1005020002,0,49,983668,203463,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,296.1126943,4917.76733,2923200,0,0,13141,13145,22,4950,12.81888866,14.97777748,2.158888817,12.91701997,0.449694155,284.1744394 +13143,MN,434,34,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3A,99 AVENUE A,R7A, , , ,C2-5, , , , , ,N,S3,4,0, ,99 AVENUE A LIMITED L,2267,5328,2267,3061,0,2267,0,0,0,0,2,1,4,3,4,22.67,100,23,100, ,3,N,5,5,91145,149630,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,2.35,4,0,4,1,1004340034,0,32,988660,203704,12c, ,102 020,10205,E-216,1004340033,12/5/1984,1, , ,17V1.1,0,252.1002501,2413.873911,58485,1,0,13142,13146,10,2250,18.26222229,18.26222229,0,18.26222229,0,182.6222229 +13144,MN,400,45,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,225 EAST 4 STREET,R7B, , , , , , , , , ,N,C6,2,0,P,223-225 EAST 4TH STRE,2900,12948,0,12948,0,0,0,0,0,0,2,1,6,21,21,30.08,96.17,30,82, ,3,N,5,2,156600,782100,156600,574799,1937,1987,0, , ,4.46,3,0,3,1,1004000045,0,32,988946,202958,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,267.7823249,3124.110669,625500,1,0,13143,13147,14,3150,15.8922224,15.8922224,0,15.8922224,0,222.4911137 +13145,MN,390,5,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,121 AVENUE B,R8B,R7A, , , , , , , , ,Y,M1,8,0,X,>T BRIDGETS R C CHURC,15261,28564,28564,0,28564,0,0,0,0,0,2,1,4,0,1,78,140,68,95, ,3,Y,3,0,912150,4772700,912150,4772700,1900,2009,0, , ,1.87,4,0,4,1,1003900005,0,2602,989650,203515,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,779.7195721,17187.05472,3860550,12,1,13144,13148,77,17325,9.779999733,13.49444389,3.71444416,10.91410384,0.997914605,840.3859959 +13146,MN,962,1,106,62,1000,2,4,10016,E016,17,14,6000,1,6,2A,516 1 AVENUE,R8, , , , , , , , , ,N,I4,8,0,C,NYC OCME,17775,85590,85590,0,85590,0,0,0,0,0,2,1,6,0,3,98.75,180,79.25,180, ,2,N,3,1,4225500,11372850,4225500,11372850,1960,0,0, , ,4.82,6.02,0,6.5,1,1009620001,0,62,991241,209342,8d, ,104 025,10310, ,0, ,1, ,1,17V1.1,0,553.7060347,17315.41943,7147350,10,1,13145,13149,77,17325,10.89000034,23.19555664,12.3055563,11.32923554,2.100537274,872.3511362 +13147,MN,223,29,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,450 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0,P,PONTE EQUITIES INC,2111,5490,3000,2490,1500,0,0,1500,0,0,2,1,4,3,5,24.83,85,25,60,E,3,N,5,2,87750,478350,0,0,1900,1983,0,Tribeca North Historic District, ,2.6,6.02,6,6.5,1,1002230029,0,39,981524,202784,12a, ,101N040,10105,E-257,0, ,1,1, ,17V1.1,0,219.7018764,2177.402779,390600,0,1,13146,13150,10,2250,9.881999969,11.88888836,2.00688839,10.16671104,0.589186983,101.6671104 +13148,MN,303,15,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,91 BOWERY,C6-1G, , , , , , , , , ,N,H2,5,0, ,"93 BOWERY HOLDINGS, L",5452,48642,1700,0,0,1700,0,0,0,0,2,2,18,0,1,50.25,107,35,90, ,1,Y,3,0,855000,8941500,0,0,2009,0,0, , ,8.92,3.44,6,6.5,1,1003030015,0,16,985589,200517,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,328.6082326,5803.056537,8086500,0,0,13147,13151,26,5850,40.51666641,45.97999954,5.46333313,42.80863234,1.120637524,1113.024441 +13149,MN,385,36,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,27 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,27 AVE. C LLC,2650,9960,400,9560,0,400,0,0,0,0,2,2,5,24,25,26.5,100,27,48, ,2,N,5,2,225000,1148400,0,0,1910,0,0, , ,3.76,4,0,4,1,1003850036,0,2202,989508,202158,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,259.7568884,2746.926262,923400,1,0,13148,13152,13,2925,14.97222233,14.97222233,0,14.97222233,0,194.6388903 +13150,MN,416,32,103,36.01,1001,1,1,10002,L018,5,14,6500,1,3,2A,66 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,CORIAD RLTY CORP,3313,16306,2717,13589,0,2717,0,0,0,0,2,1,6,20,24,44.17,75,44,75, ,3,N,3,2,352800,2044800,0,0,1900,0,0, , ,4.92,4,4,4,1,1004160032,0,3601,987037,201860,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,248.6119958,3629.175333,1692000,13,0,13149,13153,16,3600,37.29800034,38.02999878,0.731998444,37.35780573,0.18186006,597.7248917 +13151,MN,888,49,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,154 EAST 33 STREET,R8B, , , , , , , , , ,N,N9,8,0,P,"BONSIGNORE, JOHN JR",469,1876,1876,0,0,0,0,0,0,1876,2,1,4,0,1,18.75,25,19,25, ,3,N,5,1,105750,268650,0,0,1915,0,0, , ,4,4,0,4,1,1008880049,0,72,989941,210805,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,93.27912179,527.0681747,162900,10,0,13150,13154,1,225,24.35555458,24.35555458,0,24.35555458,0,24.35555458 +13152,MN,890,5,106,72,1000,2,2,10016,L007,17,14,5300,1,6,2B,15 PARK AVENUE,R10,C5-3, , , , , , , , ,Y,D6,4,0, ,15-17 PARK AVENUE DEL,8754,71115,3000,68115,3000,0,0,0,0,0,2,2,16,100,102,109.42,80,76,60, ,3,N,5,2,2349000,11102850,0,0,1924,1988,0, , ,8.12,10,0,10,1,1008900005,0,72,989610,211579,8d, ,104 031,10307, ,1008900005,1/4/2000,1, , ,17V1.1,0,402.1792725,9772.381956,8753850,10,0,13151,13155,41,9225,54.3030014,68.02889252,13.72589111,55.8507736,3.952855896,2289.881718 +13153,MN,478,28,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,174 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,1, ,THOR 174-176 BOWERY L,1842,5855,5855,0,1952,3903,0,0,0,0,2,1,3,0,1,25.17,100.92,25,100, ,3,Y,3,2,162000,1182600,0,0,1900,0,0, , ,3.18,3.44,6,6.5,1,1004780028,0,41,985825,201796,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,235.8044024,1751.388272,1020600,0,0,13152,13156,9,2025,38.05444717,38.5111084,0.456661224,38.10518731,0.143514777,342.9466858 +13154,MN,833,49,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,6 WEST 32 STREET,C6-4, , , , , , , , , ,N,H3,5,0, ,6 WEST LLC,4938,80185,3568,0,0,3568,0,0,0,0,2,1,17,0,9,50,98.75,50,98.75,E,1,N,5,2,3060000,13545900,0,0,1913,2000,0, , ,16.24,10,10,10,1,1008330049,0,76,988033,211525,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,300.9375585,5044.038618,10485900,10,0,13153,13157,22,4950,41.76111221,42.61244583,0.851333618,41.7998092,0.177331852,919.5958023 +13155,MN,10,19,101,9,1026,2,1,10004,L015,1,15,7700,1,1, ,25 BRIDGE STREET,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,JMW RESTAURANT CORP,1583,7403,7403,0,0,4491,0,2912,0,0,2,1,5,0,1,23.92,66,24,66, ,2,Y,5,2,312300,684000,0,0,1910,1979,0, , ,4.68,10,15,15,1,1000100019,0,9,980819,195662,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,185.33951,1611.717812,371700,17,1,13154,13158,9,2025,9.789999962,9.789999962,0,9.789999962,0,88.10999966 +13156,MN,557,7501,102,61,3004,2,2,10003,L003,9,15,5700,3,2, ,806 BROADWAY,C6-1, , , , , , , , , ,N,RM,4,0,P,BROADWAY 11 OWNERS IN,17479,28337,21633,6704,0,21633,0,0,0,0,2,2,7,67,68,51.16,230.43,0,0, ,0,Y,5,5,1422000,12847050,33040,33040,1982,0,0, , ,1.62,3.44,6,6.5,1,1005577501,39,61,986887,206122,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,7,681.6876889,17906.85242,11425100,12,0,13155,13159,80,18000,41.29888916,43.72299957,2.424110413,41.32919054,0.269324558,3306.335243 +13157,MN,834,11,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,1260 BROADWAY,C6-6, , , , , ,MID, , , ,N,H2,5,0, ,MARTINQUE HTL AFFILIA,19975,278905,15000,0,0,15000,0,0,0,0,2,1,17,0,11,93.17,122.83,93.17,122.83, ,0,Y,2,5,13680000,39955500,0,0,1900,0,0, ,HOTEL MARTINIQUE,13.96,10,15,15,1,1008340011,0,76,987652,211919,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,748.1612379,21045.75441,26275500,10,0,13156,13160,93,20925,45.37333298,46.0344429,0.661109924,45.84045308,0.070774892,4263.162136 +13158,MN,790,14,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,139 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"CHELSEA 139, LLC",2581,10750,2150,8600,0,2150,0,0,0,0,2,1,5,22,23,25,103.25,25,86, ,3,N,5,2,203400,1558800,0,0,1901,0,0, , ,4.17,6.02,6,6.5,1,1007900014,0,81,984682,208277,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,263.3977684,2743.665451,1355400,7,0,13157,13161,13,2925,27.73777771,30.03333282,2.295555115,27.91435887,0.611695091,362.8866653 +13159,MN,631,42,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,527 HUDSON STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,DOSHUN OWNERS CORP,2700,8307,2579,5728,2579,0,0,0,0,0,2,1,4,2,3,27,100,27,100,E,3,N,5,2,115468,848755,0,0,1910,1978,2009,Greenwich Village Historic District, ,3.08,3.44,2,6.5,1,1006310042,0,75,982428,206743,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,256.0959886,2685.254265,733287,9,0,13158,13162,13,2925,20.16444397,20.16444397,0,20.16444397,0,262.1377716 +13160,MN,732,1,104,111,2003,2,3,10001,L021,10,15,5500,1,4,2B,461 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,H2,5,0, ,"34-10 DEVELOPMENT, LL",10286,218640,2823,0,0,2823,0,0,0,0,2,1,28,0,2,104.17,98.75,0,0, ,3,N,3,2,4655340,10917090,0,0,2015,0,0, , ,21.26,10,10,10,1,1007320001,0,111,984619,214227,8d, ,105S029,10302,E-137,0, ,1, , ,17V1.1,0,426.3821761,11360.59474,6261750,6,0,13159,13163,49,11025,38.7555542,47.04000092,8.284446716,43.8898412,1.496395528,2150.602219 +13161,MN,194,9,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,46 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0,P,WALKER STREET EQUITIE,2490,13280,3693,9587,0,0,0,0,0,3693,2,1,5,4,5,24.92,100.58,25,93,E,3,N,5,5,218836,344962,0,0,1915,2002,0,Tribeca East Historic District, ,5.33,6.02,6,6.5,1,1001940009,0,33,983276,201341,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,256.253738,2586.725521,126126,14,0,13160,13164,11,2475,12.8255558,12.8255558,0,12.8255558,0,141.0811138 +13162,MN,588,58,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,96 CHRISTOPHER STREET,C1-6, , , , , , , , , ,N,C5,2,0, ,"GHS, LLC",1435,3800,480,3320,0,480,0,0,0,0,2,1,4,6,7,19,78.5,19,52, ,3,Y,5,2,61421,325282,0,0,1905,0,0,Greenwich Village Historic District, ,2.65,3.44,2,6.5,1,1005880058,0,73,982981,206392,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,197.2602873,1491.16766,263861,9,0,13161,13165,7,1575,20.90555573,24.83333397,3.927778244,21.4666669,1.374436074,150.2666683 +13163,MN,410,16,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,95 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,S2,4,0,P,95 RIVINGTON RLTY COR,2500,6820,1875,4945,0,1875,0,0,0,0,2,2,4,2,3,25,100,25,75, ,0,N,5,5,49658,110140,0,0,1920,2009,2001, , ,2.73,4,4,4,1,1004100016,0,18,987392,201575,12c, ,101N079,10204,E-216,1004100013,12/20/1986,1, , ,17V1.1,0,258.8132317,2711.914609,60482,13,0,13162,13166,11,2475,33.32444382,34.8777771,1.553333282,33.56438342,0.466978722,369.2082176 +13164,MN,771,33,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,211 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,J&S 49 PRINCE LLC,2469,9880,0,9880,0,0,0,0,0,0,2,1,5,15,15,25,98.75,25,88, ,3,N,5,2,126900,1198350,0,0,1901,0,0, , ,4,4,0,4,1,1007710033,0,87,985048,210075,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,250.1337889,2501.664659,1071450,7,0,13163,13167,10,2250,22.40399933,25.56555557,3.161556244,22.87882175,1.0128371,228.7882175 +13165,MN,923,44,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,336 EAST 18 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,M & E 336-348 E. 18TH,3680,16464,0,16464,0,0,0,0,0,0,2,1,6,25,25,40,92,40,82, ,3,N,5,2,207000,3596850,0,0,1910,1987,0, , ,4.47,3,0,3,1,1009230044,0,48,989328,206694,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,269.0953895,3844.034988,3389850,5,0,13164,13168,18,4050,14.83555603,17.08666611,2.251110077,15.0464201,0.60793162,270.8355618 +13166,MN,769,1,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,178 8 AVENUE,C1-6A, , , , , , , , , ,N,C4,2,0,P,EIGHTH-19TH CO. LLC,4560,20312,4000,16312,0,4000,0,0,0,0,2,1,5,20,24,51.67,88.25,52,83, ,2,N,3,2,540000,4187700,0,0,1887,1987,0, , ,4.45,4,2,4,1,1007690001,0,87,984280,209916,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,280.7782264,4618.594579,3647700,7,0,13165,13169,21,4725,21.88888931,22.5,0.611110687,22.03026481,0.22421612,462.635561 +13167,MN,151,7501,101,33,1010,2,1,10007,L001,1,15,7700,3,1, ,8 THOMAS STREET,C6-4A, , , , , , , , , ,N,RM,4,0, , ,1867,13124,1480,11644,0,0,0,1480,0,0,2,1,5,4,5,23.71,78.74,23,75, ,0,N,5,5,139603,872057,0,98158,1915,0,0, ,NO. 8 THOMAS STREET BUILDING,7.03,10,10,10,1,1001517501,1666,33,982703,200077,12a, ,101S033,10104, ,1001510027,5/12/2007,1, , ,17V1.1,7,209.1253434,1857.439387,732454,14,0,13166,13170,8,1800,23.98999977,30.61222267,6.6222229,24.81777763,2.190094365,198.5422211 +13168,MN,299,22,103,16,5002,2,1,10002,E015,7,14,7400,1,3,2B,35 ORCHARD STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,HAPPY SPRING REALTY I,2692,11341,2500,8841,0,2500,0,0,0,0,2,1,6,15,17,30.5,89,31,85, ,3,N,4,2,182250,639000,0,0,1910,1988,0, , ,4.21,6.02,6,6.5,1,1002990022,0,16,986553,200062,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,250.0466432,3036.769983,456750,13,0,13167,13171,13,2925,36.52555466,40.40000153,3.874446869,39.1594878,1.763638983,509.0733414 +13169,MN,518,10,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,56 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,56 MACDOUGAL LLC,4967,20901,3483,17418,0,3483,0,0,0,0,2,1,6,30,33,49.67,100,50,85, ,3,N,5,2,352350,3300750,0,0,1900,0,0,Sullivan-Thompson Historic District, ,4.21,3.44,0,6.5,1,1005180010,0,49,983623,204329,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,317.048639,5483.403953,2948400,9,0,13168,13172,24,5400,20.52111053,24.38888931,3.867778778,20.68226798,0.772883975,496.3744316 +13170,MN,505,31,102,37,3004,2,3,10013,E024,1,15,6800,1,2,1B,161 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,2016 SOHO LLC,18562,283860,283860,0,273383,10477,0,0,0,0,2,1,15,0,56,79.75,214,79.75,214, ,0,Y,3,2,4176000,27488250,0,0,1904,2014,2016, , ,15.29,0,10,10,1,1005050031,0,37,983051,203737,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,658.8995589,19588.46578,23312300,0,0,13169,13173,88,19800,24.02599907,25.72733307,1.701334,24.09601177,0.262351869,2120.449036 +13171,MN,924,18,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,327 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,DAKOTA JACKSON,1840,3690,0,2745,0,0,0,0,0,0,2,1,3,2,2,20,92,20,50,E,3,N,5,1,71183,153770,0,0,1901,0,0, , ,2.01,3,0,3,1,1009240018,0,48,989287,206886,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,230.1166625,1890.966652,82587,5,0,13170,13174,9,2025,14.83555603,16.01111031,1.175554276,15.07296318,0.447014926,135.6566687 +13172,MN,306,25,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,87 ELDRIDGE STREET,C6-1G, , , , , , , , , ,N,P7,8,0,X,"TRACEY JONES, EXECUTR",1871,6800,6800,0,3400,0,0,0,0,3400,2,1,4,0,1,25,74.83,25,68, ,3,N,5,0,1927800,2303100,1927800,2303100,1900,2015,0, , ,3.63,3.44,6,6.5,1,1003060025,0,16,986295,200624,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,207.344094,1993.005583,375300,13,0,13171,13175,9,2025,37.59777832,39.38999939,1.792221069,37.83413612,0.554399886,340.507225 +13173,MN,799,24,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,131 WEST 23 STREET,C6-3X, , , , , , , , , ,N,H3,5,0, ,"127 WEST 23RD OWNER,",2469,11164,600,0,0,600,0,0,0,0,2,1,5,0,1,25,98.75,25,99, ,3,N,5,2,388800,1138050,0,0,1925,1987,1998, , ,4.52,9,6,9,1,1007990024,0,91,985974,210197,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,260.2011754,2712.322497,749250,2,0,13172,13176,12,2700,29.26199913,29.4228878,0.160888672,29.27540652,0.04446728,351.3048782 +13174,MN,516,34,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,456 WEST BROADWAY,M1-5A, , , , , , , , , ,N,K2,5,0, ,TRISTAR ASSOCIATES LL,1875,3600,3600,0,0,3600,0,0,0,0,2,1,2,0,2,25,75,25,73, ,3,N,5,2,422100,2354400,0,0,1910,1988,0,SoHo-Cast Iron Historic District Extensi, ,1.92,0,5,6.5,1,1005160034,0,49,984024,203869,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,200.5002108,1881.259872,1932300,9,0,13173,13177,9,2025,17.67111206,17.67111206,0,17.67111206,0,159.0400085 +13175,MN,431,20,103,32,4000,1,2,10009,E028,9,14,6600,1,3,3B,162 EAST 4 STREET,R8B, , , , , , , , , ,N,Q2,9,0,C,PARKS AND RECREATION,11941,420,420,0,0,0,0,0,0,420,2,1,1,0,0,124.17,96.17,21,20, ,0,N,5,5,666000,798300,666000,798300,1920,0,0, , ,0.04,4,0,4,1,1004310020,0,32,988215,203185,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,447.2100001,12325.57382,132300,1,0,13174,13178,54,12150,24.03777885,26.81800079,2.780221939,25.64313172,0.619907467,1384.729113 +13176,MN,141,12,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,154 READE STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,WHITMAN OAKS INC,1338,5850,4525,1325,2200,2325,0,0,0,0,2,1,4,0,4,25.17,53.5,25,54, ,3,Y,5,2,117450,711000,0,0,1915,1980,0, , ,4.37,6.02,6,6.5,1,1001410012,0,39,981397,200449,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,160.5729587,1349.444554,593550,14,0,13175,13179,7,1575,16.8029995,16.8029995,0,16.8029995,0,117.6209965 +13177,MN,738,65,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,346 WEST 15 STREET,R8B, , , , , , , , , ,N,B1,1,0,P,JAMES M JASPER,1528,3610,0,2888,0,0,0,0,0,0,2,1,4,2,2,18.75,81.5,19,38, ,2,N,5,1,15328,61045,1550,1550,1900,1982,0, , ,2.36,4,0,4,1,1007380065,0,83,983172,209246,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,213.1651902,1728.850586,45717,7,0,13176,13180,8,1800,16.15333366,19.13555527,2.982221603,16.95458341,1.150336679,135.6366673 +13178,MN,864,53,106,74,1000,2,2,10016,L007,17,15,5200,1,6,2B,22 EAST 35 STREET,R9X, , , , , , , , , ,N,P5,8,0,X,THE COLLECTORS CLUB,1978,7491,7491,0,0,0,0,0,0,7491,2,1,5,0,1,20.67,98.75,18,87,E,3,N,5,2,396000,737100,396000,737100,1900,2000,0, ,COLLECTORS CLUB,3.79,9,0,9,1,1008640053,0,74,989215,211802,8d, ,104 029,10306, ,0, ,1, , ,17V1.1,0,248.9464147,2214.180089,341100,10,0,13177,13181,9,2025,55.57666779,60.8769989,5.300331116,59.87529543,1.91090576,538.8776588 +13179,MN,526,24,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,190 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,190 MANAGEMENT LLC,2450,11777,900,10877,0,900,0,0,0,0,2,1,6,25,27,25,98,25,84, ,3,N,5,1,428850,2298150,0,0,1900,0,0,South Village Historic District, ,4.81,3.44,0,6.5,1,1005260024,0,65,983826,204902,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,255.743546,2610.462336,1869300,9,0,13178,13182,12,2700,20.00333405,22.83333397,2.829999924,20.4331487,0.966546809,245.1977844 +13180,MN,595,71,102,37,1018,2,3,10013,L008,1,15,6800,1,2,1B,326 SPRING STREET,C6-2A, , , , , , , , , ,N,S1,4,0,P,"JAMES BROWN HOUSE,",1092,3149,1092,2057,0,1092,0,0,0,0,2,1,2,1,2,19.5,56,19.5,56, ,3,N,5,2,22762,73940,0,0,1805,2005,2005, ,JAMES BROWN HOUSE,2.88,6.02,6,6.5,1,1005950071,0,37,981618,203721,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,157.1049715,1197.614653,51178,0,1,13179,13183,5,1125,8.821000099,9.81111145,0.990111351,9.019022369,0.39604454,45.09511185 +13181,MN,772,36,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,217 WEST 22 STREET,R8B, , , , , , , , , ,N,B3,1,0, ,217 WEST 22ND STREET,1267,2448,0,2448,0,0,0,0,0,0,2,1,3,2,2,16.08,78.75,16.08,56, ,3,N,5,2,42913,97078,0,0,1901,0,0, , ,1.93,4,0,4,1,1007720036,0,91,985187,210280,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,191.6822241,1358.751821,54165,2,0,13180,13184,7,1575,22.16600037,26.90022278,4.734222412,23.44336537,2.024594495,164.1035576 +13182,MN,449,38,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,115 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S3,4,0, ,"ATKINS EISEMAN, LLC",875,3500,700,2800,0,700,0,0,0,0,2,1,4,3,4,17.5,50,18,50, ,2,N,3,5,254929,380432,0,0,1900,1987,0, , ,4,4,0,4,1,1004490038,0,38,988152,204204,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,145.5093636,1028.237321,125503,12,0,13181,13185,5,1125,25.48777771,25.48777771,0,25.48777771,0,127.4388886 +13183,MN,407,45,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,531 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0,P,BRAVE NEW WORLD LLC,2581,6831,2500,4331,0,2500,0,0,0,0,2,1,4,12,13,25,103.25,25,103, ,3,N,5,2,135000,1056600,0,0,1900,1988,0, , ,2.65,4,2,4,1,1004070045,0,34,989985,204988,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,259.2072697,2565.43818,921600,12,1,13182,13186,12,2700,11.62699986,11.62699986,0,11.62699986,0,139.5239983 +13184,MN,399,30,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,50 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,50 AVENUE B ASSOCIATE,3840,19512,1800,17712,0,1800,0,0,0,0,2,1,6,26,30,48,80,48,80, ,2,N,3,2,360000,1990800,0,0,1900,1985,0, , ,5.08,4,0,4,1,1003990030,0,32,989011,202773,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,265.600895,4201.630497,1630800,1,0,13183,13187,20,4500,18.04222298,18.99222183,0.949998856,18.08972292,0.20704745,361.7944584 +13185,MN,443,5,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,28 2 AVENUE,C6-2A, , , , , , , , , ,N,E7,6,0,P,EDISON SECOND AVENUEM,5000,52497,52497,0,0,0,0,52497,0,0,2,1,10,0,1,50,100,50,100, ,2,N,5,2,438750,2765700,0,0,1923,0,0, , ,10.5,6.02,6,6.5,1,1004430005,0,3602,986959,203244,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,306.2482938,5182.51845,2326950,1,0,13184,13188,23,5175,38.10977936,39.6866684,1.576889038,38.584504,0.283384869,887.4435921 +13186,MN,145,7503,101,21,1000,2,1,10013,E007,1,15,7700,3,1, ,109 READE STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, ,FIRST READE CONDOMINI,1880,8218,2902,5316,765,2137,0,0,0,0,2,1,5,4,7,0.04,0,0,0, ,0,N,5,5,175238,951093,0,0,1920,0,0,Tribeca South Historic District, ,4.37,7.52,6,7.5,1,1001457503,651,21,981860,200028,12a,Y,101S017,10104, ,1001450017,9/25/1989,1, , ,17V1.1,7,202.9324224,1910.566019,775855,14,0,13185,13189,7,1575,21.27222252,21.27222252,0,21.27222252,0,148.9055576 +13187,MN,829,50,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,1164 BROADWAY,M1-6, , , , , , , , , ,N,HB,5,0, ,HADDAD NOMAD LLC,13474,112608,2000,0,0,2000,0,0,0,0,2,4,12,0,7,132.17,127,104,122, ,3,Y,3,2,6030000,40068000,0,6180786,1903,1983,2008,Madison Square North Historic District, ,8.36,0,10,10,1,1008290050,0,58,987440,210665,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,528.3901418,14165.68229,34038000,11,0,13186,13190,62,13950,40.15333176,40.15333176,0,40.15333176,0,2489.506569 +13188,MN,714,31,104,83,3001,2,3,10011,E003,10,15,5600,1,4,1A,430 WEST 17 STREET,R8,C6-3, , ,C2-5, ,WCH, , , ,Y,D1,3,0,O,NYC HOUSING AUTHORITY,80408,298470,0,298470,0,0,0,0,0,0,2,4,7,375,375,500,184,152,50, ,0,Y,3,5,2947500,29750400,2947500,29750400,1963,0,0, , ,3.71,6.02,0,6.5,1,1007140031,0,83,982856,209954,8b, ,103 041,10302, ,0, ,1, , ,17V1.1,0,1387.463359,84424.46765,26802900,7,1,13187,13191,377,84825,12.26111126,17.95999908,5.698887825,14.37244038,0.935902857,5418.410022 +13189,MN,280,55,103,8,1001,2,1,10038,E009,5,14,7800,1,3,1A,23 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,CATHERINE STREET ASSO,2420,12383,2190,10193,0,2190,0,0,0,0,2,1,6,15,17,23.17,100,23,100, ,2,Y,3,2,177300,843750,0,0,1900,0,0, , ,5.12,3.44,0,6.5,1,1002800055,0,8,985109,199016,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,254.0527481,2549.095695,666450,16,0,13188,13192,9,2025,29.04899979,29.04899979,0,29.04899979,0,261.4409981 +13190,MN,485,5,102,49,1008,2,1,10012,E055,1,15,6800,1,2,1A,66 GREENE STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,"YAO, HO-CHU",2258,9738,3998,5740,0,2085,0,0,0,1913,2,1,5,4,5,22.58,100,22.58,92, ,3,N,5,2,180000,615150,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.31,0,5,6.5,1,1004850005,0,49,984052,202690,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,251.0072538,2280.627648,435150,0,0,13189,13193,12,2700,17.71444511,21.42555618,3.711111069,18.02370437,1.025696914,216.2844524 +13191,MN,281,40,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,49 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0,P,C K D DIVISION REALTY,1706,11042,11042,0,0,1706,0,0,0,9336,2,1,7,0,4,25,68.5,25,68, ,0,Y,5,2,137700,810450,0,0,1920,0,0, , ,6.47,3.44,6,6.5,1,1002810040,0,8,985587,199418,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,190.3469792,1737.585997,672750,16,0,13190,13194,10,2250,35.10200119,37.49888992,2.396888733,35.54104538,0.882707868,355.4104538 +13192,MN,816,80,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,542 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,C4,2,0,P,MONTEL RLTY CP,1760,7108,1608,5500,0,1608,0,0,0,0,2,1,5,8,9,22,80,22,80,E,3,N,5,2,70620,406606,0,0,1920,0,0, , ,4.04,6.02,6,6.5,1,1008160080,0,54,985286,208025,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,208.7724812,1826.34872,335986,7,0,13191,13195,9,2025,28.19599915,28.2808876,0.084888458,28.2054312,0.026677869,253.8488808 +13193,MN,219,26,101,39,1014,2,1,10013,L008,1,15,7700,1,1,3B,165 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,SPICE LOFTHOUSE CORP,5000,30000,5000,25000,0,5000,0,0,0,0,2,1,6,15,18,50,100,50,100, ,2,N,3,2,576000,2788200,11800,11800,1910,1980,0,Tribeca North Historic District, ,6,6.02,6,6.5,1,1002190026,0,39,981882,202380,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,308.5914622,5312.822349,2212200,0,1,13192,13196,22,4950,10.46666718,10.46666718,0,10.46666718,0,230.2666779 +13194,MN,205,16,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1A,178 HESTER STREET,C6-2G, , , , , ,LI, , , ,N,S9,4,0, ,178 HESTER ST RLTY CO,1241,2205,735,1470,0,735,0,0,0,0,2,1,3,2,4,25,50,21,35, ,0,N,5,5,32456,66190,0,0,1910,0,0, , ,1.78,6.02,6,6.5,1,1002050016,0,41,984859,200851,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,156.0983451,1350.313311,33734,0,0,13193,13197,7,1575,31.4109993,32.86000061,1.449001312,31.76944406,0.576202313,222.3861084 +13195,MN,283,91,103,6,1000,2,1,10002,E015,7,14,7800,1,3,2B,115 DIVISION STREET,C6-2, , , , , , , , , ,N,C7,4,0, ,SHANGHAI REALTY CORP,1605,7535,1270,6265,0,1270,0,0,0,0,2,1,5,8,10,24.83,63.75,26,63,E,3,Y,5,2,66069,274834,0,0,1900,1982,0, , ,4.69,6.02,6,6.5,1,1002830091,0,6,986450,199504,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,182.6266572,1708.754831,208765,16,0,13194,13198,6,1350,35.5909996,41.18222046,5.591220856,37.43918482,2.613867461,224.6351089 +13196,MN,154,23,101,31,1016,2,1,10007,L001,5,15,7700,1,1,3B,14 READE STREET,C6-4, , , , , , , , , ,N,O3,5,0,M,DCAS,19417,71732,71732,0,9716,0,0,0,0,0,2,1,7,0,0,251.17,78.17,18.25,76.33, ,0,Y,5,0,1336500,5080050,1336500,5080050,1915,1961,0,African Burial Ground & The Commons Hist, ,3.69,10,10,10,1,1001540023,0,31,982924,199549,12b, ,101S020,10105, ,0, ,1, , ,17V1.1,0,663.8083646,20074.01269,3743550,14,0,13195,13199,89,20025,27.14888954,27.74822235,0.599332809,27.33370254,0.052737322,2432.699526 +13197,MN,135,5,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,12 WARREN STREET,C6-3A, , , , , ,TMU, , , ,N,D1,3,0,P,DDG WARREN LLC,4992,40665,0,40665,0,0,0,0,0,0,2,1,12,13,13,49.92,100,50,100, ,0,N,5,2,898650,4548334,0,0,1900,2014,0, , ,8.15,7.52,6,7.5,1,1001350005,0,21,982197,199468,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,306.6765869,5147.414502,3649680,3,0,13196,13200,23,5175,32.66199875,33.03733444,0.375335693,32.69437591,0.091312563,751.9706459 +13198,MN,137,7502,101,21,2001,2,1,10007,L010,1,15,7700, ,1, ,295 GREENWICH STREET,C6-3,C6-3A, , , , ,TMU, , , ,Y,RM,4,0, ,GREENWICH COURT CONDO,27901,103856,10125,93731,0,6505,0,0,0,3620,2,1,11,127,128,131.52,186.34,0,0, ,0,Y,5,5,4874478,18389264,130881,130881,1987,0,0, , ,3.72,7.52,6,10,1,1001377502,401,21,981270,200085,12a,Y,101S015,10104, ,1001370999,2/20/1988,1, , ,17V1.1,7,580.5695926,17652.19966,13514800,14,0,13197,13201,77,17325,13.5,19.68199921,6.181999207,14.35137469,0.688408995,1105.055851 +13199,MN,579,9,102,37,3007,2,3,10013,L008,1,15,6800,1,2,1B,292 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,U1,7,0, ,PORT OF N Y AUTH,6038,0,0,0,0,0,0,0,0,0,7,1,0,0,0,80.5,75,0,0, ,0,N,3,5,0,0,0,0,0,0,0, , ,0,0,10,10,1,1005790009,0,37,982225,203638,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,321.6007112,6456.671637,0,0,0,13198,13202,27,6075,14.42666721,16.44533348,2.018666267,15.25715641,0.502029416,411.943223 +13200,MN,569,4,102,61,1002,2,2,10003,L003,6,15,5700,1,2,3A,47 5 AVENUE,R10,C6-1, , , , , , , , ,Y,P2,8,0,X,SALMAGUNDI CLUB INC,4787,15014,15014,0,15014,0,0,0,0,0,2,1,4,0,1,39.25,125,39.25,124,E,3,Y,5,1,769500,1257300,769500,1257300,1948,0,0, ,SALMAGUNDI CLUB,3.14,10,0,10,1,1005690004,0,61,985787,206784,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,343.4609247,5092.75878,487800,8,0,13199,13203,22,4950,31.75222206,31.90955544,0.157333374,31.75937358,0.032772368,698.7062187 +13201,MN,489,36,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,59 THOMPSON STREET,M1-5B, , , , , , , , , ,N,C7,4,0,P,59 THOMPSON LLC,4000,15918,1500,14418,0,1500,0,0,0,0,2,1,6,34,36,40,100,40,79, ,3,N,5,2,215550,1236150,0,0,1900,2014,2014,Sullivan-Thompson Historic District, ,3.98,0,5,6.5,1,1004890036,0,47,983280,203125,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,278.5451211,3881.455641,1020600,0,1,13200,13204,17,3825,9.686666489,9.686666489,0,9.686666489,0,164.6733303 +13202,MN,401,20,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,520 EAST 6 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,GIOIA APARTMENTS LLC,2425,6750,1200,5550,0,1200,0,0,0,0,2,1,5,8,9,25,97,25,54,E,3,N,5,2,16619,77927,0,0,1900,1982,0, , ,2.78,3,0,3,1,1004010020,0,32,988967,203346,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,245.5415392,2418.976289,61308,1,0,13201,13205,11,2475,14.20666695,16.31888962,2.112222672,14.67610134,0.795648372,161.4371147 +13203,MN,500,19,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,112 PRINCE STREET,M1-5A, , , , , , , , , ,N,C6,2,0, ,114 PRINCE STREET COR,3000,17040,2840,14200,0,2840,0,0,0,0,2,1,6,5,6,40,75,40,75, ,3,N,5,2,482646,1131785,0,0,1900,2014,2005,SoHo-Cast Iron Historic District, ,5.68,0,5,6.5,1,1005000019,0,49,984344,203400,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,235.9900655,3179.944384,649139,0,0,13202,13206,13,2925,24.89599991,26.03844452,1.142444611,24.98388026,0.304426479,324.7904434 +13204,MN,450,29,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,145 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,145 ASSETS LLC,2350,9494,2300,7194,0,2300,0,0,0,0,2,3,5,8,13,23.5,100,24,66, ,3,N,3,2,211050,593100,0,0,1900,1986,0, , ,4.04,4,0,4,1,1004500029,0,38,988337,204591,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,254.715037,2561.56984,382050,12,0,13203,13207,10,2250,25.47888947,25.74377823,0.264888763,25.50706749,0.078906091,255.0706749 +13205,MN,205,32,102,41,4002,2,1,10013,L006,5,15,6800,1,2, ,191 CANAL STREET,C6-1G, , , , , ,LI, , , ,N,O5,5,0, ,CHINESE AMER VETS,3780,16080,16080,0,13315,2765,0,0,0,0,2,1,6,0,6,50.25,75.25,50,54, ,3,Y,5,2,477000,1611000,205110,692732,1920,0,0, , ,4.25,3.44,6,6.5,1,1002050032,0,41,984815,200552,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,250.831002,3778.440913,1134000,14,0,13204,13208,19,4275,31.4109993,31.4109993,0,31.4109993,0,596.8089867 +13206,MN,539,41,102,65,5000,2,1,10012,L009,6,15,5700,1,2,2A,167 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,167 BLEEKER HOLDIGNCO,2500,9694,1830,7864,0,1830,0,0,0,0,2,1,5,16,17,25,100,25,80, ,3,N,5,2,128700,1108350,0,0,1900,0,0,South Village Historic District, ,3.88,3.44,0,6.5,1,1005390041,0,65,984224,204828,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,257.0701287,2588.364485,979650,9,0,13205,13209,11,2475,25.23555565,26.75666618,1.521110535,25.37383842,0.437288533,279.1122227 +13207,MN,374,4,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,60 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C4,2,0, ,60 AVENUE C ASSOCIATE,1974,8086,0,8086,0,0,0,0,0,0,2,1,4,7,7,24,82.25,24,76,E,3,N,5,0,15311,68231,0,0,1900,1989,2012, , ,4.1,4,0,4,1,1003740004,0,2601,989871,202485,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,212.8809078,1852.632566,52920,1,1,13206,13210,9,2025,10.52222252,11.72688866,1.204666138,10.78488912,0.491520359,97.06400204 +13208,MN,779,25,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,225 WEST 29 STREET,M1-6D, , , , , , , , , ,N,E2,6,0, ,"GAVARTINS,",2312,4226,4226,0,0,0,0,0,4226,0,2,1,2,0,1,23.42,98.75,24,96, ,3,N,5,2,180450,312750,0,0,1920,0,0, , ,1.83,10,10,10,1,1007790025,0,95,985949,211976,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,251.6560288,2454.022546,132300,6,0,13207,13211,11,2475,31.05999947,31.33111,0.271110535,31.08464588,0.077938799,341.9311047 +13209,MN,448,25,103,38,6000,1,2,10003,E028,9,14,6500,1,3,4B,82 EAST 7 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,GARYIP CORP,1708,6117,0,6117,0,0,0,0,0,0,2,1,5,8,8,25,68.33,25,48, ,3,N,5,2,36410,176194,0,0,1910,1985,0,East Village/Lower East Side Historic Di, ,3.58,4,0,4,1,1004480025,0,38,988026,204162,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,198.9358525,1916.333535,139784,12,0,13208,13212,8,1800,27.1590004,28.59555626,1.436555862,27.47922254,0.541116886,219.8337803 +13210,MN,418,58,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,272 GRAND STREET,C4-4A, , , , , , , , , ,N,K4,4,0, ,"LUI & LEI ENTERPRISE,",2192,4975,3250,1725,1625,1625,0,0,0,0,2,2,2,2,5,25,87.5,25,64, ,3,N,3,2,197100,443250,0,0,1900,0,0, , ,2.27,4,4,4,1,1004180058,0,18,986235,200891,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,232.0011436,2433.482204,246150,13,0,13209,13213,11,2475,37.89666748,37.89666748,0,37.89666748,0,416.8633423 +13211,MN,520,53,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,41 KING STREET,R6, , , , , , , , , ,N,C3,2,0, ,GREEN GABLES INVESTME,2352,5298,0,5298,0,0,0,0,0,0,2,1,3,4,4,23.5,100.08,24,88,E,3,N,5,5,311436,469163,0,0,1920,1978,0,Charlton-King-Vandam Historic District, ,2.25,2.43,0,4.8,1,1005200053,0,37,983004,204513,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,251.7780524,2374.994521,157727,9,0,13210,13214,11,2475,17.63100052,20.28111076,2.650110245,18.3447276,1.015164333,201.7920036 +13212,MN,281,23,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,50 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,"DAVID SWEE CHOW, AS T",1726,9911,5011,4900,0,3452,0,1559,0,0,2,1,5,0,4,25,69.08,25,69, ,3,Y,5,2,158400,742950,0,0,1910,0,0, , ,5.74,3.44,6,6.5,1,1002810023,0,8,985446,199332,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,199.0923236,1905.846924,584550,16,0,13211,13215,8,1800,35.10200119,35.10200119,0,35.10200119,0,280.8160095 +13213,MN,765,63,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,236 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,236 W. 16TH ST. LLC,2788,11350,0,11350,0,0,0,0,0,0,2,1,5,20,20,27.08,103.25,27,93, ,3,Y,5,2,180900,565650,0,0,1901,0,0, , ,4.07,4,0,4,1,1007650063,0,81,984082,209034,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,262.1579048,2724.398898,384750,7,0,13212,13216,13,2925,22.05333328,26.49333382,4.440000534,22.56290597,1.274295159,293.3177776 +13214,MN,438,3,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,168 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S4,4,0, ,"LANZA ASSOCIATES,",2225,6550,1500,5050,0,1500,0,0,0,0,2,1,5,4,5,23.67,94,24,77, ,3,N,5,5,189098,281495,0,0,1900,0,0, , ,2.94,4,0,4,1,1004380003,0,34,988687,204823,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,242.5594475,2306.160608,92397,12,0,13213,13217,11,2475,17.98900032,23.38444328,5.395442963,18.85603038,1.858564595,207.4163342 +13215,MN,622,14,102,73,1000,2,3,10014,L005,6,15,6400,1,2,2K,290 WEST 11 STREET,C1-6, , , , , , , , , ,N,C6,2,0, ,BLEECKER AND 11 OWNER,3545,8617,700,7917,0,700,0,0,0,0,2,1,4,18,19,46.58,96.08,47,58,E,2,Y,5,2,450000,1161900,2706,2706,1910,0,0,Greenwich Village Historic District, ,2.43,3.44,2,6.5,1,1006220014,0,73,982770,207326,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,292.8696681,3769.332062,711900,8,0,13214,13218,18,4050,22.42000008,22.42000008,0,22.42000008,0,403.5600014 +13216,MN,189,7503,101,33,3015,2,1,10013,E007,1,15,7700,3,1, ,32 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,OAKWOOD CONDO,2188,11565,3761,7804,0,1551,0,0,0,2210,2,1,7,5,8,0.05,0,0,87.6, ,0,N,5,5,140583,1474296,4720,4720,1950,0,0,Tribeca West Historic District, ,5.29,6.02,6,6.5,1,1001897503,738,33,982115,201469,12a, ,101S035,10105, ,1001890027,11/15/1990,1, , ,17V1.1,7,234.1448629,2133.140523,1333710,14,1,13215,13219,8,1800,10.17444515,17.92333221,7.748887062,11.54876435,2.633191404,92.39011478 +13217,MN,778,25,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,227 WEST 28 STREET,M1-6D, , , , , , , , , ,N,K4,4,0, ,213-227 WEST 28TH STR,4442,8518,8518,0,4259,4259,0,0,0,0,2,1,2,0,6,51.75,91.83,52,84, ,3,Y,5,1,259650,834750,0,0,1920,0,0, , ,1.92,10,10,10,1,1007780025,0,95,985777,211768,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,304.8481901,4873.694178,575100,2,0,13216,13220,22,4950,28.45999908,28.45999908,0,28.45999908,0,626.1199799 +13218,MN,796,7504,104,87,1001,2,3,10010,L012,13,15,5600,1,4, ,655 AVENUE OF THE AMER,C6-2A,C6-3A, , , , , , , , ,Y,RM,4,0, , ,18452,106279,26453,79826,0,24601,0,1852,0,0,2,1,7,48,50,184,154.75,143,158, ,0,Y,0,5,5812198,19480953,11800,11800,1900,0,0,Ladies' Mile Historic District, ,5.76,6.02,6,6.5,1,1007967504,1437,87,985815,209366,8d, ,103 030,10305, ,1007960036,2/7/2007,1, , ,17V1.1,7,689.6425267,19727.55632,13668800,7,0,13217,13221,87,19575,28.3488884,35.20666504,6.857776642,28.71333539,1.382194395,2498.060179 +13219,MN,631,30,102,75,3003,2,3,10014,L005,6,15,6400,1,2,2B,697 GREENWICH STREET,R6, , , , , , , , , ,N,D5,3,0, ,259 WEST 10TH LLC,6710,51200,0,51200,0,0,0,0,0,0,2,1,8,53,53,90.17,105.5,90,92, ,3,Y,3,2,1611000,6438150,0,0,1979,0,0,Greenwich Village Historic District, ,7.63,2.43,0,4.8,1,1006310030,0,75,982307,206618,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,356.2909434,7486.462601,4827150,9,0,13218,13222,34,7650,20.16444397,20.51533318,0.350889206,20.17983616,0.065260868,686.1144295 +13220,MN,886,7502,106,72,4000,2,2,10016,L007,17,14,5300,2,6, ,159 EAST 30 STREET,C1-9, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,3565,52067,8996,43071,4998,3998,0,0,0,0,2,1,23,52,55,60,59.42,0,0, ,0,N,5,5,1586705,7382706,63070,100871,1987,0,0, , ,14.61,10,2,10,1,1008867502,388,72,989763,210135,8d, ,104 019,10307, ,1008860043,4/20/1987,1, , ,17V1.1,7,255.103688,4067.313766,5796000,10,0,13219,13223,19,4275,28.17889023,33.19666672,5.017776489,28.55000114,1.185344111,542.4500217 +13221,MN,435,2,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4B,120 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0, ,120-120 1/2 FIRST LLC,1788,6920,1080,5840,0,0,0,0,0,1080,2,2,5,8,10,28.83,62,14,48, ,3,N,5,2,181140,636538,0,0,1900,1986,0,East Village/Lower East Side Historic Di, ,3.87,4,0,4,1,1004350002,0,32,988298,204153,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,187.2983321,1912.995867,455398,12,0,13220,13224,9,2025,20.24200058,20.24200058,0,20.24200058,0,182.1780052 +13222,MN,817,7502,105,54,2000,2,3,10011,L003,13,15,5700,1,5, ,100 5 AVENUE,C6-4M,C6-2M, , , , , , , , ,Y,RC,5,0, , ,16085,250671,250671,0,224260,16926,0,0,0,9485,2,1,19,0,2,133.42,140,133,140, ,2,Y,3,2,6750000,37588950,0,0,1906,1979,0,Ladies' Mile Historic District, ,15.58,10,10,10,1,1008177502,1774,54,986103,207804,12c, ,102 033,10306, ,1008170044,12/7/2007,1, , ,17V1.1,7,552.196165,17690.2727,30839000,7,0,13221,13225,79,17775,30.80200005,30.80200005,0,30.80200005,0,2433.358004 +13223,MN,874,19,105,50,2001,2,2,10003,E014,13,14,5300,1,5,1B,71 IRVING PLACE,R8B, , , , , , , , , ,N,C5,2,0, ,71 IRVING PL INC,1967,4506,700,3806,0,700,0,0,0,0,2,1,4,7,8,23,85.5,23,42,E,0,N,5,2,205449,454043,0,0,1900,0,0, , ,2.29,4,0,4,1,1008740019,0,50,987848,207725,12c, ,102 045,10307, ,0, ,1, , ,17V1.1,0,219.154191,1996.969981,248594,5,0,13222,13226,9,2025,33.91699982,34.29966736,0.382667542,33.96214803,0.119559048,305.6593323 +13224,MN,584,43,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,47 MORTON STREET,R6, , , , , , , , , ,N,D4,3,0, ,47 49 MORTON STREET C,2412,13664,0,13664,0,0,0,0,0,0,2,1,7,29,29,59,66,59,54, ,3,Y,5,1,182700,1851300,11800,11800,1926,1987,0,Greenwich Village Historic District, ,5.67,2.43,0,4.8,1,1005840043,0,67,982737,205595,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,225.5359771,2734.071778,1668600,9,0,13223,13227,13,2925,16.16111183,20.04555511,3.884443283,16.45991516,1.035085096,213.9788971 +13225,MN,590,7,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,269 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,M1,8,0,X,NEIGHBORHOOD CHURCH,974,1422,1422,0,0,0,0,0,0,1422,2,1,3,1,2,12.17,80.08,12,32, ,3,N,5,2,172800,292950,172800,292950,1920,0,0,Greenwich Village Historic District Exte, ,1.46,3.44,0,6.5,1,1005900007,0,67,983442,205785,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,192.0083175,949.8095235,120150,9,0,13224,13228,5,1125,17.79000092,19.53000069,1.739999771,18.18524513,0.678573468,90.92622566 +13226,MN,446,34,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,71 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"71 A2Z, LLC",2382,9635,1500,8135,0,1500,0,0,0,0,2,1,5,16,18,24,99.25,24,80, ,3,N,5,2,184950,1195200,0,0,1900,1985,0, , ,4.04,4,0,4,1,1004460034,0,38,987793,203609,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,253.4115034,2446.549128,1010250,1,0,13225,13229,11,2475,28.45888901,28.45888901,0,28.45888901,0,313.0477791 +13227,MN,162,60,103,29,3004,2,1,10013,E009,5,15,7700,1,3,1A,4 BOWERY,C6-1, , , , , , , , , ,N,O5,5,0, ,"FOUR BOWERY REALTY,IN",954,5020,5020,0,3920,1100,0,0,0,0,2,1,5,0,5,13.13,72,14,70, ,3,Y,5,2,93150,394650,0,0,1970,0,0, , ,5.26,3.44,6,6.5,1,1001620060,0,29,984887,199514,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,175.3957976,993.8762751,301500,16,0,13226,13230,6,1350,38.81911087,39.70399857,0.884887695,39.55651728,0.329778173,237.3391037 +13228,MN,355,65,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,161 SUFFOLK STREET,R7A, , , , , , , , , ,N,L9,6,0, ,161 SUFFOLD ST RLTYCP,5000,7500,7500,0,0,0,0,7500,0,0,2,1,1,0,1,50,100,50,97, ,3,N,5,2,195750,472050,0,0,1920,0,0, , ,1.5,4,0,4,1,1003550065,0,3001,988322,201982,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,304.101729,5033.23451,276300,1,0,13227,13231,23,5175,23.94333458,23.94333458,0,23.94333458,0,550.6966953 +13229,MN,591,51,102,73,4003,2,3,10014,E024,6,15,6400,1,2,2B,61 GROVE STREET,C4-5, , , , , , , , , ,N,C7,4,0, ,61 GROVE ST. LLC,3212,14295,2400,11895,0,2400,0,0,0,0,2,1,5,12,15,48,97,48,98, ,2,Y,2,2,315000,2652750,0,0,1900,1986,0,Greenwich Village Historic District, ,4.45,3.44,3.4,6.5,1,1005910051,0,73,983331,206447,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,264.1366392,3510.719507,2337750,9,0,13228,13232,16,3600,23.46111107,23.93666649,0.47555542,23.49083328,0.115113639,375.8533325 +13230,MN,712,26,104,83,3003,2,3,10014,E003,10,15,5600,1,4,1B,407 WEST 14 STREET,M1-5, , , , , ,WCH, , , ,N,O5,5,0,P,405 WEST 14TH STREET,2950,12969,12969,0,5880,7089,0,0,0,0,2,1,4,0,1,25,117.58,25,116, ,3,N,5,0,398250,2132100,0,0,1929,1989,2012,Gansevoort Market Historic District, ,4.4,0,5,6.5,1,1007120026,0,83,982626,209417,8b, ,103 040,10302, ,0, ,1, , ,17V1.1,0,303.7359821,3115.67272,1733850,7,0,13229,13233,14,3150,12.4989996,12.4989996,0,12.4989996,0,174.9859943 +13231,MN,741,6,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,353 WEST 17 STREET,R8B, , , , , , , , , ,N,W4,8,0,X,THE LORGE SCHOOL,4600,20680,20680,0,0,0,0,0,0,20680,2,1,6,0,1,50,92,50,92, ,3,N,5,2,531000,1427400,531000,1427400,1910,1962,0, , ,4.5,4,0,4,1,1007410006,0,83,983360,209890,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,289.5638752,4742.155586,896400,7,0,13230,13234,20,4500,15.59444427,15.59444427,0,15.59444427,0,311.8888855 +13232,MN,800,53,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,120 WEST 25 STREET,M1-6, , , , , , , , , ,N,C7,4,0, ,120-22 W 25 STREET LL,4100,16920,2170,14750,0,2170,0,0,0,0,2,2,6,8,10,50,82.25,50,82,E,3,N,5,2,204672,1511754,0,0,1900,0,0, , ,4.13,0,10,10,1,1008000053,0,91,986206,210488,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,274.27915,4362.480735,1307080,2,0,13231,13235,19,4275,33.84199905,39.72555542,5.883556366,34.15165992,1.31377977,648.8815384 +13233,MN,769,59,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,238 WEST 20 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,HEMA LLC,2311,9305,0,9305,0,0,0,0,0,0,2,1,5,20,20,25,92.75,25,74, ,3,Y,5,2,137250,1353150,0,0,1929,1962,0, , ,4.03,4,0,4,1,1007690059,0,87,984545,209901,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,242.4246466,2405.214289,1215900,7,0,13232,13236,12,2700,21.88888931,24.1566658,2.267776489,22.23162985,0.771232131,266.7795582 +13234,MN,592,12,102,71,5006,2,3,10014,E024,6,15,6100,1,2,1B,114 WEST WASHINGTON PLCE,R6, , , ,C1-5, , , , , ,N,B3,1,0, ,G&J FRITZ,1278,1995,0,1995,0,0,0,0,0,0,2,1,2.5,2,2,18,71,18,42,E,3,N,5,2,41316,147639,8450,8450,1899,0,0,Greenwich Village Historic District, ,1.56,2.43,0,4.8,1,1005920012,0,71,983886,206144,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,188.6711612,1395.349811,106323,9,0,13233,13237,7,1575,17.50333405,17.70999908,0.206665039,17.53285762,0.072317699,122.7300034 +13235,MN,420,74,103,18,4001,1,1,10002,L018,5,14,7400,1,3,2A,46 DELANCEY STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,46 DELANCEY CORP,2500,9775,1900,7875,0,1900,0,0,0,0,2,1,5,16,17,25,100,25,86, ,2,N,5,2,138600,366750,0,0,1905,0,0, , ,3.91,6.02,6,6.5,1,1004200074,0,18,986628,201551,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,260.2924956,2613.391366,228150,13,0,13234,13238,12,2700,38.87666702,42.23899841,3.36233139,39.43705559,1.253066925,473.2446671 +13236,MN,567,15,102,59,1000,2,2,10003,E033,6,15,5700,1,2,3A,18 EAST 10 STREET,R7-2, , , , , , , , , ,N,C6,2,0,P,EIGHTEEN EAST 10TH.OW,2307,4976,0,4976,0,0,0,0,0,0,2,1,4,3,3,25,92.25,25,66, ,3,N,5,1,158088,434330,0,0,1910,0,0,Greenwich Village Historic District, ,2.16,3.44,0,6.5,1,1005670015,0,59,985758,206257,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,240.3793726,2320.785319,276242,8,0,13235,13239,11,2475,29.25900078,29.65777779,0.398777008,29.31807137,0.129207778,322.498785 +13237,MN,790,32,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,531 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,O1,5,0,P,"SEAMAN, REBECCA COLI",6468,14056,14056,0,14056,0,0,0,0,0,2,1,1,0,1,82.92,78,82.92,78, ,0,N,3,2,1116000,6319350,0,0,1953,0,0, , ,2.17,7.52,6,7.5,1,1007900032,0,81,985092,208038,12c,Y,103 028,10305, ,0, ,1, , ,17V1.1,0,330.5710211,6825.317453,5203350,7,0,13236,13240,30,6750,27.73777771,27.73777771,0,27.73777771,0,832.1333313 +13238,MN,764,74,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,94 8 AVENUE,C1-6A, , , , , , , , , ,N,S2,4,0, ,"POM REALTY HOLDINS, I",1421,2226,690,1536,0,690,0,0,0,0,2,1,3,2,3,19.33,73.5,19.33,37,E,0,N,5,2,40587,116493,0,0,1901,0,0, , ,1.57,4,2,4,1,1007640074,0,81,983717,208913,8b, ,103 032,10304, ,0, ,1, , ,17V1.1,0,185.091654,1399.613673,75906,7,0,13237,13241,7,1575,22.05333328,22.05333328,0,22.05333328,0,154.373333 +13239,MN,903,57,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,299 3 AVENUE,C2-8A, , , , , , , , , ,N,O5,5,0, ,"299 THIRD SI, LLC",2500,7000,7000,0,4050,2950,0,0,0,0,2,2,3,0,5,25,100,25,82,E,3,N,3,2,540000,1258200,0,0,1920,1983,2011, , ,2.8,10,2,10,1,1009030057,0,64,988977,208351,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,260.940296,2823.215135,718200,11,0,13238,13242,13,2925,19.86555672,25.18555641,5.319999695,20.51060794,1.576059398,266.6379032 +13240,MN,228,11,102,47,2008,2,1,10013,L008,1,15,6800,1,2,1A,307 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D4,3,0, ,JACOB CRAM COOPERATIV,3875,24791,3875,20916,0,3875,0,0,0,0,2,1,7,7,8,38.5,100,39,100,E,3,N,5,2,582660,1067729,24875,24875,1915,1979,2006,SoHo-Cast Iron Historic District, ,6.4,0,5,6.5,1,1002280011,0,47,983109,202150,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,287.1036351,4250.521522,485069,0,1,13239,13243,18,4050,9.686666489,9.686666489,0,9.686666489,0,174.3599968 +13241,MN,152,7501,101,33,1007,2,1,10007,L001,1,15,7700,3,1, ,321 BROADWAY,C6-4A, , , , , , , , , ,N,RC,5,0,P,321 BROADWAY LLC,5252,31720,31720,0,0,27351,0,0,0,4369,2,1,6,0,8,50.5,104,50.5,104, ,0,N,5,5,1282500,2620800,0,0,1915,1982,0, , ,6.04,10,10,10,1,1001527501,67,33,982830,200152,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,7,324.442307,5670.430816,1338300,14,0,13240,13244,24,5400,30.71888924,30.71888924,0,30.71888924,0,737.2533417 +13242,MN,414,54,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,101 ORCHARD STREET,C6-2A,C4-4A, , , , , , , , ,Y,C7,4,0, ,NEW YORK C & K REALTY,2220,8745,1875,6870,0,1875,0,0,0,0,2,1,5,15,16,25.33,87.67,25,76, ,3,N,4,2,225000,1487250,0,0,1900,1969,1995, , ,3.94,6.02,6,6.5,1,1004140054,0,18,986962,201108,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,234.3655128,2388.63361,1262250,13,0,13241,13245,10,2250,37.16899872,38.28610992,1.117111206,37.39687653,0.369305299,373.9687653 +13243,MN,744,13,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1B,347 WEST 20 STREET,R7B, , , , , , , , , ,N,B9,1,0,X,"ALAIN BOURGEOIS, DIRE",1403,3300,0,2475,0,0,0,0,0,0,2,1,3,2,2,15.25,92,15.25,55, ,3,N,5,1,46705,139945,46705,139945,1910,1999,0,Chelsea Historic District, ,2.35,3,0,3,1,1007440013,0,89,983769,210500,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,214.5012738,1327.400744,93240,7,0,13242,13246,6,1350,15.84222221,15.84222221,0,15.84222221,0,95.05333328 +13244,MN,435,25,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,122 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,122-126 ST. MARKS PLA,3770,14623,2437,12186,0,2437,0,0,0,0,2,1,6,22,24,38.67,97.5,39,84, ,3,N,5,2,684000,2386350,0,0,1920,1984,0, , ,3.88,4,0,4,1,1004350025,0,32,988704,204060,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,278.5865644,3899.128511,1702350,12,0,13243,13247,18,4050,18.46888924,20.93666649,2.467777252,18.79135831,0.711002754,338.2444496 +13245,MN,459,16,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,60 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE MUTUALH,2808,13500,750,12750,0,750,0,0,0,0,2,1,6,22,24,25,112.33,25,95, ,0,Y,5,5,96750,1515600,90945,1424664,1920,1994,0,East Village/Lower East Side Historic Di, ,4.81,4,0,4,1,1004590016,0,38,986802,203961,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,281.8933893,2901.114309,1418850,1,0,13244,13248,12,2700,35.86666489,35.86666489,0,35.86666489,0,430.3999786 +13246,MN,629,12,102,77,3000,2,3,10014,L005,6,15,6100,1,2,3B,348 WEST 14 STREET,C6-2A, , , , , , , , , ,N,O8,5,0,P,348 WEST 14TH ST LLC,2581,9800,8225,1575,8225,0,0,0,0,0,2,1,4,1,5,25,103.25,25,98, ,3,N,5,2,169200,894150,0,0,1910,1985,2016, , ,3.8,6.02,6,6.5,1,1006290012,0,77,982924,209023,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,260.9108213,2593.662465,724950,8,0,13245,13249,11,2475,16.45777702,17.49244308,1.034666061,16.55183757,0.297445579,182.0702133 +13247,MN,823,62,105,58,1009,2,3,10010,E014,13,15,5700,1,5,1O,34 WEST 22 STREET,C6-4A, , , , , , , , , ,N,S9,4,0,P,SECOND JAM DEVELOPMEN,2435,12328,4439,7889,0,4439,0,0,0,0,2,1,6,4,6,23.5,98.75,24,97,E,3,Y,5,2,151430,1587261,0,0,1910,1987,2013,Ladies' Mile Historic District, ,5.06,10,10,10,1,1008230062,0,58,986450,209413,8d, ,102 042,10306, ,0, ,1, , ,17V1.1,0,253.2234278,2575.033308,1435830,7,0,13246,13250,11,2475,33.74333191,36.54111099,2.797779083,33.99767546,0.804304936,373.9744301 +13248,MN,511,1,102,43,3001,2,1,10012,L020,5,15,6800,1,2,1A,568 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,568 BROADWAY PROPERTY,23700,286250,286250,0,227536,21700,0,1850,0,35164,2,1,12,0,93,200.17,126,126,199, ,2,Y,3,2,6390000,101255400,0,0,1900,2010,2013,SoHo-Cast Iron Historic District, ,12.08,0,5,6.5,1,1005110001,0,43,985027,203135,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,667.1571905,25927.35771,94865400,9,0,13247,13251,116,26100,36.82110977,37.8682251,1.047115326,36.83013663,0.096802249,4272.295849 +13249,MN,435,12,103,32,1001,1,2,10009,L011,9,14,6600,1,3,4A,96 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,"NEJAT REALTY, LLC",2518,9775,1955,7820,0,1955,0,0,0,0,2,1,5,20,22,25.83,97.5,26,86, ,3,N,5,1,432000,2287800,0,0,1900,1986,0, , ,3.88,4,0,4,1,1004350012,0,32,988427,204213,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,252.116625,2608.970796,1855800,12,0,13248,13252,11,2475,20.24200058,20.24200058,0,20.24200058,0,222.6620064 +13250,MN,747,28,104,93,2000,2,3,10011,L024,10,15,5200,1,4,2A,315 WEST 23 STREET,C2-6, , , , , , , , , ,N,D4,3,0, ,315 WEST 23RD STREET,10038,120010,10398,109612,0,10398,0,0,0,0,2,1,13,75,77,159.33,63,159,62, ,2,N,5,2,792000,11862900,108970,108970,1926,1981,0, , ,11.96,3.44,2,6.5,1,1007470028,0,93,984491,210996,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,459.4291716,11089.29429,11070900,2,0,13249,13253,49,11025,19.48777771,21.39444542,1.906667709,20.36573414,0.255048085,997.9209728 +13251,MN,180,7507,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,345 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5250,29031,5744,23287,0,0,0,0,0,5744,2,2,6,10,12,0.12,0,0,0, ,0,N,0,5,382951,2857950,0,0,1920,0,0,Tribeca West Historic District, ,5.53,6.02,6,6.5,1,1001807507,923,39,981452,201022,12a, ,101S037,10105, ,1001800022,12/26/1995,1, , ,17V1.1,7,314.6021189,5352.840981,2475000,14,0,13250,13254,23,5175,15.85299969,15.85299969,0,15.85299969,0,364.6189928 +13252,MN,372,51,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,300 EAST 2 STREET,R8A, , , , , , , , , ,N,C7,4,0,P,MLC 300 EAST 2ND STRE,2650,7620,1000,6620,0,1000,0,0,0,0,2,2,5,8,10,25,105.92,22,60, ,2,Y,5,2,12061,74543,0,0,1920,1988,0, , ,2.88,6,0,6,1,1003720051,0,2202,990000,201776,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,265.8318707,2709.573479,62482,1,1,13251,13255,13,2925,10.82999992,15.50222206,4.672222137,12.42989716,1.209065601,161.5886631 +13253,MN,826,42,105,58,1006,2,3,10010,E001,13,15,5700,1,5,1B,952 BROADWAY,PARK, , , , , , , , , ,N,Q0,9,0,C,PARKS AND RECREATION,11015,900,900,0,0,0,0,900,0,0,2,1,1,0,1,170,162,0,30, ,0,N,1,5,3586500,4576500,3586500,4576500,0,0,0, , ,0.08,0,0,0,1,1008260042,0,58,987305,209866,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,470.5397855,11738.57907,990000,2,0,13252,13256,51,11475,40.85333252,43.60666656,2.753334045,41.52847485,0.725082575,2117.952217 +13254,MN,193,14,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,40 WHITE STREET,C6-2A, , , , , , , , , ,N,C6,2,0, ,40 WHITE STREET GROUP,1900,9195,0,9195,0,0,0,0,0,0,2,1,5,5,5,25,76,25,76,E,3,N,5,2,435608,585241,9440,9440,1910,0,0,Tribeca East Historic District, ,4.84,6.02,6,6.5,1,1001930014,0,33,983050,201159,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,208.5115131,1981.391738,149633,14,0,13253,13257,9,2025,13.68111134,13.68111134,0,13.68111134,0,123.130002 +13255,MN,828,35,105,58,1003,2,2,10001,E001,13,15,5700,1,5,1B,218 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O4,5,0,P,DINO SON REALTY COR,7112,150888,143875,7013,124594,10040,0,9241,0,0,2,1,21,1,31,56.33,127.5,56,127, ,2,Y,3,2,4050000,12685500,0,0,1912,1986,1988,Madison Square North Historic District, ,21.22,10,10,10,1,1008280035,0,58,987449,210237,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,373.0009005,7274.659891,8635500,11,0,13254,13258,32,7200,41.03300095,41.03300095,0,41.03300095,0,1313.05603 +13256,MN,180,7503,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,11 JAY STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,CONDOMINIUM BOARD MGR,2284,10589,3445,7144,0,3445,0,0,0,0,2,1,5,4,5,25,98.17,0,0, ,0,N,5,5,78279,522565,0,0,1920,0,0,Tribeca West Historic District, ,4.64,6.02,6,6.5,1,1001807503,399,39,981581,200942,12a, ,101S037,10105, ,1001800013,12/9/1987,1, , ,17V1.1,7,237.9410789,2367.148008,444286,14,0,13255,13259,10,2250,15.85299969,15.85299969,0,15.85299969,0,158.5299969 +13257,MN,584,49,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,59 MORTON STREET,R6, , , , , , , , , ,N,C3,2,0, ,59 MORTON STREET LLC,2500,4001,0,4001,0,0,0,0,0,0,2,1,3.5,4,4,25.17,100,25,56, ,3,N,5,5,279369,469163,0,0,1910,0,0,Greenwich Village Historic District, ,1.6,2.43,0,4.8,1,1005840049,0,67,982597,205636,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,258.9469185,2651.199028,189794,9,0,13256,13260,11,2475,16.16111183,18.8955555,2.734443665,17.01828332,1.011784332,187.2011166 +13258,MN,779,5,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,390 8 AVENUE,C6-3X, , , , , , , , , ,N,K5,5,0,P,HEARTHSTONE PROPERTIE,2000,2004,2004,0,0,2004,0,0,0,0,2,1,1,0,1,20,100,20,100, ,2,Y,5,2,155250,838800,0,0,1938,1973,0, , ,1,9,6,9,1,1007790005,0,95,985576,212245,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,248.6322778,2059.6466,683550,6,0,13257,13261,9,2025,28.88333321,31.05999947,2.17666626,30.58814769,0.883111789,275.2933292 +13259,MN,543,42,102,65,1002,2,1,10012,L009,6,15,5700,1,2,2A,150 WEST 4 STREET,R7-2, , , , , , , , , ,N,K4,4,0, ,T & K PARTNERS REALTY,1763,2481,1981,500,160,1821,0,0,0,0,2,1,2,2,3,24.5,74,24.5,74,E,2,Y,5,2,173250,450900,0,0,1950,0,0,South Village Historic District, ,1.41,3.44,0,6.5,1,1005430042,0,65,984052,205736,12c, ,103 006,10207, ,0, ,1, , ,17V1.1,0,208.8158462,1932.449132,277650,9,0,13258,13262,8,1800,18.19555664,18.75111008,0.555553436,18.27401447,0.181863379,146.1921158 +13260,MN,346,37,103,14.02,1005,2,1,10002,L018,7,14,7400,1,3,2B,60 NORFOLK STREET,R8, , , , , , , , , ,N,M1,8,0,P,BETH MEDRASH HAGODOL,7438,4600,4600,0,0,0,0,0,0,4600,2,1,1,0,1,73.83,100.75,59,78,E,0,N,5,5,334350,524250,334350,524250,1920,0,0, ,BETH HAMERDASH HAGODOL SYNAGOGUE,0.62,6.02,0,6.5,1,1003460037,0,1402,987639,200509,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,342.2729041,7092.329362,189900,13,0,13259,13263,31,6975,32.00333405,34.64333344,2.63999939,32.58644818,0.623043351,1010.179893 +13261,MN,521,64,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2,1G,290 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C4,2,0, ,"RAP PROPERTIES, LLC",2134,6678,0,6678,0,0,0,0,0,0,2,1,4,6,7,25.58,83.42,26,76, ,3,N,5,2,54393,203299,0,0,1900,1981,0,Noho East Historic District, ,3.13,6.02,6,6.5,1,1005210064,0,5502,986158,203295,12c, ,103 010,10206, ,0, ,1, , ,17V1.1,0,222.5204288,2143.903214,148906,9,0,13260,13264,10,2250,43.41222,43.41222,0,43.41222,0,434.1222 +13262,MN,573,26,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,32 WEST 10 STREET,R6, , , , , , , , , ,N,C2,2,0, ,"LEVITAS, AURA",1690,5008,0,5008,0,0,0,0,0,0,2,1,4.5,5,5,18.33,92.25,18,64, ,3,N,5,5,400621,609911,0,0,1900,1930,0,Greenwich Village Historic District, ,2.96,2.43,0,4.8,1,1005730026,0,63,985035,206657,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,225.8844751,1818.300054,209290,8,0,13261,13265,9,2025,18.98099899,25.90888786,6.92788887,19.86062876,2.158241566,178.7456589 +13263,MN,766,61,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,230 WEST 17 STREET,C6-2A, , , , , , , , , ,N,O3,5,0, ,"EK 17TH STREET,",6300,53168,53168,0,53168,0,0,0,0,0,2,1,8,0,8,75,84,75,83, ,3,N,5,2,616500,6944850,0,0,1912,1987,1999, , ,8.44,6.02,6,6.5,1,1007660061,0,81,984295,209204,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,333.0042875,6862.65557,6328350,7,0,13262,13266,32,7200,21.88888931,24.84666634,2.957777023,22.25420868,0.840078677,712.1346779 +13264,MN,720,60,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,426 WEST 23 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,426 WEST 23RD ST APTS,2485,9463,0,9463,0,0,0,0,0,0,2,1,5,10,10,25,98.75,25,64,E,0,N,5,5,170966,799708,11800,11800,1900,1978,0,Chelsea Historic District Extension, ,3.81,3,0,3,1,1007200060,0,93,983539,211322,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,253.6190955,2502.481347,628742,2,1,13263,13267,13,2925,9.369999886,13.86777782,4.497777939,9.754828967,1.191973897,126.8127766 +13265,MN,404,49,103,34,2001,1,2,10009,L011,9,14,6200,1,3,4A,313 EAST 10 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,313 E 10 ST HOUSING C,2370,9475,0,9475,0,0,0,0,0,0,2,1,5,5,5,25,94.75,25,69, ,3,N,5,2,48808,163260,7080,7080,1900,1985,0,East 10th Street Historic District, ,4,4,0,4,1,1004040049,0,34,989474,204373,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,246.2006146,2488.744466,114452,12,0,13264,13268,10,2250,12.53199959,15.64666653,3.114666939,13.26608858,1.108191116,132.6608858 +13266,MN,771,31,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,215 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,JWP PROPERTY LLC,2469,5080,0,5080,0,0,0,0,0,0,2,2,3,9,9,25,98.75,25,49, ,3,N,5,5,79869,371293,0,0,1900,1989,0, , ,2.06,4,0,4,1,1007710031,0,87,985004,210099,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,249.5906454,2467.626868,291424,7,0,13265,13269,12,2700,22.40399933,26.17000008,3.766000748,22.99744383,1.329627354,275.969326 +13267,MN,286,34,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,233 EAST BROADWAY,R7-2, , , , , , , , , ,N,M9,8,0,P,BETH CHASIDAM DE POLA,2071,5156,5156,0,0,0,0,0,0,5156,2,1,4,0,1,23.67,87.5,24,59, ,3,N,5,2,196650,325800,196650,325800,1900,0,0, , ,2.49,3.44,0,6.5,1,1002860034,0,201,987986,199455,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,224.9761307,1994.159625,129150,13,0,13266,13270,10,2250,29.71888924,33.56777954,3.848890305,30.3738451,1.08350756,303.738451 +13268,MN,586,38,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,41 CARMINE STREET,R6, , , , , , , , , ,N,C7,4,0,P,"4143 CA, LLC",5000,18750,9375,9375,0,9375,0,0,0,0,2,2,5,34,37,50,100,50,72, ,3,N,5,2,855000,4592250,0,0,1900,1960,0,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005860038,0,67,983229,205306,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,300.2373999,5012.817385,3737250,9,0,13267,13271,23,5175,15.38333321,15.38333321,0,15.38333321,0,353.8166637 +13269,MN,778,46,105,95,2001,2,3,10001,L024,10,15,5200,1,5,1H,210 WEST 29 STREET,M1-6D, , , , , , , , , ,N,O6,5,0,P,210 WEST 29TH STREETC,2475,23227,23227,0,21227,2000,0,0,0,0,2,1,9,1,9,25,98.75,25,99, ,0,N,5,5,193050,1455300,0,0,1924,1987,0, , ,9.38,10,10,10,1,1007780046,0,95,985994,211775,8d, ,105S021,10304,E-276,0, ,1, , ,17V1.1,0,252.800937,2600.335916,1262250,6,0,13268,13272,11,2475,28.45999908,28.45999908,0,28.45999908,0,313.0599899 +13270,MN,586,55,102,67,3002,2,3,10014,E024,6,15,6400,1,2,1B,16 MORTON STREET,C2-6,R6, , , , , , , , ,Y,S1,4,0, ,"16 MORTON STREET, L.L",2250,5662,2723,2939,0,2723,0,0,0,0,2,1,3,1,2,25,90,25,90, ,3,N,5,0,53673,210235,0,0,1905,2014,2014,Greenwich Village Historic District Exte, ,2.52,3.44,2,6.5,1,1005860055,0,67,983209,205630,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,231.8862901,2238.509245,156562,9,0,13269,13273,10,2250,15.38333321,18.67666626,3.293333054,16.59437809,1.133743794,165.9437809 +13271,MN,470,7501,102,41,2000,2,1,10013,L006,5,15,6800,1,2, ,122 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,R4,3,0, ,122 ELIZABETH HOUSE,5088,18452,0,18452,0,0,0,0,0,0,2,1,7,28,28,50.75,100.25,0,0, ,0,N,5,5,427505,2813405,21240,21240,1988,0,0, , ,3.63,6.02,6,6.5,1,1004707501,564,41,985579,201341,12c, ,101N077,10206, ,1004700040,11/1/1988,1, , ,17V1.1,7,313.606556,5311.3381,2385900,0,0,13270,13274,23,5175,31.67711258,35.20000076,3.522888184,32.10976924,0.913128656,738.5246925 +13272,MN,190,16,101,33,3014,2,1,10013,E007,1,15,7700,1,1,3B,122 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0, ,122 HUDSON STREET LLC,2837,17000,17000,0,17000,0,0,0,0,0,2,1,6,0,6,30.83,89,31,88, ,2,Y,3,2,444150,2787750,0,0,1915,0,0,Tribeca West Historic District, ,5.99,6.02,6,6.5,1,1001900016,0,33,981961,201610,12a, ,101N041,10105, ,0, ,1, , ,17V1.1,0,258.1303862,3138.767444,2343600,14,0,13271,13275,14,3150,15.75599957,18.0775547,2.321555138,15.94757094,0.597957471,223.2659931 +13273,MN,770,35,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,205 WEST 20 STREET,R8B,R8A, , ,C2-5, , , , , ,Y,C4,2,0, ,205 WEST 20TH ASSOCIA,2075,7730,1000,6730,0,1000,0,0,0,0,2,1,5,16,17,25,83,25,69, ,3,Y,5,2,53550,662850,0,0,1901,0,0, , ,3.73,4,0,4,1,1007700035,0,87,984977,209825,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,219.6132414,2116.236131,609300,7,0,13272,13276,9,2025,22.20999908,27.98666763,5.776668549,23.42135747,2.271434476,210.7922173 +13274,MN,29,26,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,52 STONE STREET,C5-5, , , , , ,LM, , , ,N,S4,4,0, ,"STONE 33,LLC",1839,7336,1834,5502,0,1834,0,0,0,0,2,1,4,4,5,24,73,24,73, ,0,Y,5,5,406523,1060304,0,0,1920,0,0,Stone Street Historic District, ,3.99,10,15,15,1,1000290026,0,9,981419,195843,12b, ,101S002,10101, ,1000290025,12/5/1990,1, , ,17V1.1,0,200.3562939,1939.250041,653781,17,1,13273,13277,10,2250,11.55000019,12.38111115,0.831110954,11.63311129,0.249333286,116.3311129 +13275,MN,616,142,102,77,3003,2,3,10014,L005,6,15,6100,1,2,3B,347 WEST 4 STREET,C1-6, , , , , , , , , ,N,B1,1,0, ,"KENET, BRIAN L.",548,2625,0,2100,0,0,0,0,0,0,2,1,4,2,2,21.83,25.08,21.83,25.08, ,3,N,5,1,44717,112048,0,0,1927,0,0,Greenwich Village Historic District, ,4.79,3.44,2,6.5,1,1006160142,0,77,983218,208547,8b, ,103 035,10209, ,0, ,1, , ,17V1.1,0,94.82917668,555.5073064,67331,8,0,13274,13278,4,900,20.44199944,20.44199944,0,20.44199944,0,81.76799774 +13276,MN,447,36,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,343 EAST 5 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,C4,2,0, ,343-345 E.5TH ST.LLC,2692,16164,0,16164,0,0,0,0,0,0,2,2,6,28,28,55.5,97.05,26,54, ,3,Y,5,2,225000,2420100,0,0,1900,2009,2009, , ,6,4,0,4,1,1004470036,0,38,987855,203835,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,313.806702,4144.454499,2195100,1,0,13275,13279,16,3600,26.0177784,30.44999886,4.432220459,27.4604857,1.236985684,439.3677711 +13277,MN,482,27,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,218 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,J & G FAMILY LIMITEDP,2500,5000,5000,0,2500,2500,0,0,0,0,2,1,2,0,2,25,100,25,100, ,3,N,5,2,281250,1226250,0,0,1959,2004,0, , ,2,0,5,6.5,1,1004820027,0,45,984863,202317,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,262.5852783,2697.719481,945000,0,0,13276,13280,12,2700,30.94300079,32.32344437,1.380443573,31.05803776,0.381534448,372.6964531 +13278,MN,698,35,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,285 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,K2,5,0, ,"287 10TH AVENUE, LLC",3160,4344,4344,0,2172,2172,0,0,0,0,2,1,2,0,2,39.5,80,39.5,55, ,3,N,5,2,213750,1251900,0,0,1930,1987,0, , ,1.37,7.52,6,10,1,1006980035,0,99,983455,212510,8b, ,105S004,10301,E-142,0, ,1, , ,17V1.1,0,255.7800618,3534.568448,1038150,2,0,13277,13281,15,3375,13.25500011,14.5144453,1.25944519,13.40244459,0.351131383,201.0366688 +13279,MN,849,7505,105,52,2000,2,2,10010,E014,13,15,5700,1,5, ,141 5 AVENUE,C6-4M, , , , , , , , , ,N,RM,4,0, , ,8460,82363,16437,1205,7233,9204,0,0,0,0,2,1,15,34,37,94,90,94,90, ,0,N,0,5,4532850,23792821,0,0,1900,2007,2007,Ladies' Mile Historic District, ,9.74,10,10,10,1,1008497505,1612,52,986921,208864,8d, ,102 043,10306, ,1008490075,12/3/2009,1, , ,17V1.1,7,389.2910361,9468.343531,19260000,7,0,13278,13282,42,9450,40.92599869,41.59222412,0.666225433,40.95592472,0.134086936,1720.148838 +13280,MN,174,16,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3A,97 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,CHURCH STREET APARTME,1872,9360,1800,7560,0,1800,0,0,0,0,2,1,5,4,5,25,74.83,25,75, ,2,N,3,2,125100,863100,0,0,1915,1981,0,Tribeca East Historic District, ,5,6.02,6,6.5,1,1001740016,0,33,982793,200880,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,214.1626366,2183.268659,738000,14,0,13279,13283,9,2025,21.5755558,23.28444481,1.708889008,22.01827198,0.645971744,198.1644478 +13281,MN,597,5,102,37,1013,2,3,10013,E024,1,15,6800,1,2,1B,523 GREENWICH STREET,M1-6, , , , , ,HSQ, , , ,N,HB,5,0,P,FORTUNA REALTY HOTEL,5000,59720,0,0,0,0,0,0,0,0,2,1,20,0,123,50,100,0,0, ,0,Y,5,5,410400,13696650,0,0,2012,0,0, , ,11.94,0,10,10,1,1005970005,0,37,981830,203920,12a, ,101N065,10208,E-288,0, ,1, , ,17V1.1,0,303.9158319,5099.874561,13286300,0,1,13280,13284,24,5400,13.17199993,13.17199993,0,13.17199993,0,316.1279984 +13282,MN,874,61,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,76 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,D1,3,0, ,76 IRVING PL INC,2773,12492,0,12492,0,0,0,0,0,0,2,1,6,22,22,26,106.67,26,90, ,3,N,5,2,312750,1099800,0,0,1910,1985,0,Gramercy Park Historic District, ,4.5,4,0,4,1,1008740061,0,50,988026,207700,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,272.4713401,3062.633947,787050,5,0,13281,13285,14,3150,27.68333435,27.68333435,0,27.68333435,0,387.5666809 +13283,MN,106,7502,101,15.01,3002,2,1,10038,E006,1,15,7700,1,1, ,324 PEARL STREET,C6-2A, , , , , ,LM, , , ,N,R4,3,0, ,THE BINDERY CONDO,7700,37646,0,37646,0,0,0,0,0,0,2,1,5,48,48,75,130,0,0, ,0,Y,0,5,580507,2957404,30602,43162,1920,0,0,South Street Seaport Historic District E, ,4.89,6.02,6,6.5,1,1001067502,1164,1501,983740,197570,12b, ,11S 023,10103, ,1001060018,12/14/2000,1, ,1,17V1.1,7,396.6727311,8178.581853,2376900,4,1,13282,13286,35,7875,9.201000214,19.45122337,10.25022316,10.18620973,2.737293332,356.5173407 +13284,MN,218,12,101,39,1015,2,1,10013,L008,1,15,7700,1,1,3B,426 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0, ,PATRICK MONACO,1466,4042,0,4042,0,0,0,0,0,0,2,1,4,4,4,19.25,76.17,19,74,E,3,N,5,2,110648,193034,0,0,1915,1976,0,Tribeca North Historic District, ,2.76,6.02,6,6.5,1,1002180012,0,39,981483,202454,12a, ,101N040,10105, ,0, ,1, ,1,17V1.1,0,194.3560097,1519.331644,82386,0,1,13283,13287,5,1125,7.816666603,7.816666603,0,7.816666603,0,39.08333302 +13285,MN,908,3,106,66,2001,2,2,10016,E016,13,14,5800,1,6,2A,379 3 AVENUE,C2-8, , , , , , , , , ,N,S9,4,0, ,CULINARY ASSOCIATES L,1365,2588,1028,1560,0,1028,0,0,0,0,2,1,3,4,6,19.5,70,19.5,53, ,3,N,5,5,159340,540790,0,0,1910,0,0, , ,1.9,10,2,10,1,1009080003,0,66,989540,209400,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,182.0333588,1394.495559,381450,11,0,13284,13288,6,1350,39.05888748,41.54666519,2.48777771,39.4735171,0.927140012,236.8411026 +13286,MN,372,36,103,22.02,1000,1,2,10009,E028,9,14,7600,1,3,3A,19 AVENUE D,R8A, , , ,C1-5, , , , , ,N,S2,4,0, ,"BIRRIEL, MANUEL",826,2481,600,1881,0,600,0,0,0,0,2,1,3,2,3,15.58,53,15.58,53, ,0,N,3,5,15771,33177,0,0,1900,0,0, , ,3,6,0,6,1,1003720036,0,2202,990211,201837,12c, ,102 014,10202,E-216,0, ,1, , ,17V1.1,0,146.5395463,947.9532312,17406,1,1,13285,13289,3,675,10.24333286,10.24333286,0,10.24333286,0,30.72999859 +13287,MN,212,18,101,33,3008,2,1,10013,L008,1,15,7700,1,1,3B,52 VARICK STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,13-17 LAIGHT NY LLC,13867,79642,53142,26500,39869,13273,0,0,0,0,2,1,6,9,26,99,140.08,99,140,E,3,Y,3,2,1120500,8701200,0,0,1900,0,0, , ,5.74,6.02,6,6.5,1,1002120018,0,33,982569,202155,12a, ,101N041,10105,E-257,0, ,1, , ,17V1.1,0,505.6340001,15442.56326,7580700,0,1,13286,13290,69,15525,10.88111115,15.30555534,4.424444199,11.39239936,0.753933309,786.0755558 +13288,MN,771,8,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,259 WEST 21 STREET,R8B, , , , , , , , , ,N,C6,2,0, ,259 WEST TENANTS CORP,2469,5026,0,5026,0,0,0,0,0,0,2,2,4,6,6,25,98.75,25,37, ,0,N,5,5,88691,412135,2360,2360,1900,2006,0, , ,2.04,4,0,4,1,1007710008,0,87,984589,210329,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,251.4411018,2502.831563,323444,7,0,13287,13291,11,2475,21.99111176,21.99111176,0,21.99111176,0,241.9022293 +13289,MN,344,145,103,22.01,2001,1,1,10002,L018,7,14,7600,1,3,2A,48 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,K4,4,0, ,"CLINTON SONIC ANNEX ,",2500,6525,4450,2075,0,4450,0,0,0,0,2,1,2.5,2,4,25,100,25,98, ,3,N,5,2,180000,690750,0,0,1942,1998,0, , ,2.61,4,0,4,1,1003440145,0,2201,988551,201474,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,257.8748963,2646.527038,510750,1,0,13288,13292,12,2700,23.20000076,24.61666679,1.416666031,23.31805627,0.391545806,279.8166752 +13290,MN,906,6,106,66,4000,2,2,10010,E016,13,14,5800,1,6,1B,209 EAST 25 STREET,R8B, , , , , , , , , ,N,D3,3,0, ,209 E25 LLC,5431,24640,0,24640,0,0,0,0,0,0,2,1,5,44,44,55,98.75,55,89, ,2,N,5,2,468000,3238650,0,0,1950,0,0, , ,4.54,4,0,4,1,1009060006,0,66,989376,208901,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,314.4439379,5650.625715,2770650,11,0,13289,13293,25,5625,30.26000023,31.84666634,1.586666107,30.32346687,0.310921788,758.0866718 +13291,MN,307,1,103,16,2000,2,1,10002,L006,5,14,7400,1,3,1A,45 ALLEN STREET,C6-1G, , , , , , , , , ,N,D3,3,0,O,NYC HOUSING AUTHORITY,39631,109269,0,109269,0,0,0,0,0,0,2,2,5,104,104,225.42,175.25,155,95, ,1,Y,3,1,2677500,11682000,2677500,11682000,1973,0,0, , ,2.76,3.44,6,6.5,1,1003070001,0,16,986393,200396,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,813.3266893,40886.55132,9004500,13,0,13290,13294,182,40950,39.09000015,45.59777832,6.507778168,40.8896471,1.397541164,7441.915771 +13292,MN,834,33,105,76,1004,2,4,10001,L024,14,15,5200,1,5,1A,11 WEST 32 STREET,C6-4, , , , , , , , , ,N,L1,6,0, ,77 NY @ 32ND ST. LLC,4906,49993,49993,0,0,22500,0,27493,0,0,2,2,11,0,11,50,98.75,50,99,E,3,N,5,2,823500,6537150,0,0,1904,0,0, , ,10.19,10,10,10,1,1008340033,0,76,988064,211685,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,306.5700988,5201.968395,5713650,10,0,13291,13295,24,5400,45.71699905,45.84899902,0.131999969,45.84349902,0.026377067,1100.243977 +13293,MN,847,29,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,37 EAST 18 STREET,M1-5M, , , , , , , , , ,N,O6,5,0, ,37 41 E 18 ST REALTY,6900,67051,67051,0,45328,12783,0,8940,0,0,2,1,10,0,10,75,92,75,92, ,3,N,5,2,1192500,7964100,0,0,1900,0,0,Ladies' Mile Historic District, ,9.72,0,5,6.5,1,1008470029,0,52,987197,208041,12c,Y,102 044,10306, ,0, ,1, , ,17V1.1,0,347.644047,7408.594921,6771600,7,0,13292,13296,33,7425,36.35800171,39.63999939,3.281997681,36.59097799,0.712755899,1207.502274 +13294,MN,847,22,105,52,1002,2,2,10003,E014,13,15,5700,1,5,1O,876 BROADWAY,M1-5M, , , , , , , , , ,N,D0,3,0,P,876 BROADWAY REALTY C,3851,18755,3100,15655,0,3100,0,0,0,0,2,1,6,5,6,41.42,87.5,41,82,E,3,Y,5,2,308195,1684800,7080,7080,1910,1985,2009,Ladies' Mile Historic District, ,4.87,0,5,6.5,1,1008470022,0,52,987073,208123,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,259.638577,3809.70884,1376610,7,0,13293,13297,18,4050,36.35800171,37.25489044,0.896888733,36.40782886,0.20544261,655.3409195 +13295,MN,504,17,102,37,3000,2,3,10013,L020,1,15,6800,1,2,1A,200 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C2,2,0, ,"MILLER, LUCAS J",2517,6461,0,6461,0,0,0,0,0,0,2,1,3,5,5,25.17,100,25.17,62, ,3,N,5,5,236727,356342,2360,2360,1900,0,0,Sullivan-Thompson Historic District, ,2.57,3.44,0,6.5,1,1005040017,0,37,983402,203976,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,251.3660296,2494.331982,119615,0,0,13294,13298,11,2475,19.94300079,23.97999954,4.036998749,21.16148533,1.602221558,232.7763386 +13296,MN,455,1,103,40,6000,1,2,10003,E005,9,14,6200,1,3,4B,222 2 AVENUE,C1-6A, , , , , ,TA, , , ,N,I1,8,0, ,EYE & EAR INFIRMARY,15288,56756,56756,0,0,0,0,0,0,56756,2,1,6,0,0,103.25,148,103.25,148, ,0,N,3,5,1683000,3184200,0,0,1900,0,0, , ,3.71,4,2,4,1,1004550001,0,40,988427,205852,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,536.1912411,17285.058,1501200,12,0,13295,13299,77,17325,25.88899994,29.94666672,4.057666779,26.35530157,1.226307756,2029.358221 +13297,MN,236,18,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1A,185 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S2,4,0, ,ITALIAN AMERICAN MUSE,1500,3048,960,2088,0,960,0,0,0,0,2,1,3,2,3,20,74.5,20,49,E,3,Y,5,4,12762,31849,0,0,1910,0,0, , ,2.03,6.02,6,6.5,1,1002360018,0,41,984903,201307,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,195.8122803,1597.383727,19087,0,0,13296,13300,7,1575,24.0720005,25.93066788,1.858667374,24.43552426,0.654674649,171.0486698 +13298,MN,819,17,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1B,37 WEST 17 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,WG THREE ASSOCIATES L,4725,35000,35000,0,30000,5000,0,0,0,0,2,2,7,0,13,50,92,50,88, ,2,Y,5,2,647100,4123800,0,0,1900,1989,0,Ladies' Mile Historic District, ,7.41,10,10,10,1,1008190017,0,54,985904,208478,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,295.6825351,4867.407608,3476700,7,0,13297,13301,23,5175,32.36888886,34.96533203,2.596443176,32.54874387,0.603244903,748.621109 +13299,MN,626,8,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,62 HORATIO STREET,R6, , , , , , , , , ,N,A9,1,0, ,"SEGAL, BISSELL NANCY",950,2090,0,2090,0,0,0,0,0,0,2,1,3,1,1,19,50,18.67,30,E,3,Y,5,2,22611,124416,0,0,1899,0,0,Greenwich Village Historic District, ,2.2,2.43,0,4.8,1,1006260008,0,79,982530,208377,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,140.3649512,956.0792056,101805,8,0,13298,13302,3,675,15.42222214,15.42222214,0,15.42222214,0,46.26666641 +13300,MN,642,1,102,79,1010,2,3,10014,L005,6,15,6100,1,2,3B,113 JANE STREET,C6-2A, , , , , , , , , ,N,H3,5,0, ,JANE ST. HOSPITALITY,8812,43618,4000,0,0,4000,0,0,0,0,2,1,5,0,1,66.17,135.17,66.16,127, ,2,Y,3,2,4185000,9156150,0,0,1908,1988,2009, ,AMERICAN SEAMEN'S FRIEND SOCIETY SA,4.95,6.02,6,6.5,1,1006420001,0,79,981666,208258,8b, ,103 014,10210,E-4,0, ,1,1,1,17V1.1,0,417.717307,9823.826682,4971150,8,1,13299,13303,45,10125,7.369999886,8.373332977,1.003333092,7.409629514,0.166666973,333.4333282 +13301,MN,224,29,101,39,1008,2,1,10013,L008,1,15,7700,1,1,3B,460 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,THE MOSKOWITZ CHILDRE,2000,9500,1900,7600,0,1900,0,0,0,0,2,1,5,4,5,25,80,25,79,E,3,N,5,5,191486,279952,0,0,1915,0,0,Tribeca North Historic District, ,4.75,6.02,6,6.5,1,1002240029,0,39,981550,202972,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,210.0981626,1996.03897,88466,0,1,13300,13304,10,2250,8.210000038,8.210000038,0,8.210000038,0,82.10000038 +13302,MN,754,14,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,349 WEST 30 STREET,R8B, , , , , , , , , ,N,B1,1,0,P,"MCCABE, SUZANNE",1333,2741,0,2741,0,0,0,0,0,0,2,1,3,2,2,13.5,98.75,13.5,52, ,3,N,5,5,282487,311640,0,0,1840,0,0, , ,2.06,4,0,4,1,1007540014,0,103,985036,212771,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,244.4313851,1553.945469,29153,6,0,13301,13305,7,1575,33.70700073,36.39466858,2.687667847,34.09095328,0.940487832,238.636673 +13303,MN,550,6,102,59,2001,2,1,10003,E033,6,15,5700,1,2,2A,6 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,W6,8,0, ,NEW YORK UNIVERSITY,4375,7724,7724,0,0,0,0,0,0,7724,2,2,3.5,0,2,27.67,157.25,27.67,104, ,3,Y,5,2,351450,649800,351450,617400,1900,0,0,Greenwich Village Historic District, ,1.77,2.43,0,4.8,1,1005500006,0,59,985384,205687,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,376.1291948,4206.369934,298350,9,0,13302,13306,19,4275,27.46111107,30.48666573,3.025554657,27.95498236,0.992887514,531.1446648 +13304,MN,801,7502,104,91,1000,2,3,10001,E001,13,15,5200,2,4, ,146 WEST 26 STREET,M1-6, , , , , , , , , ,N,RM,4,0, , ,6883,53491,9991,43500,0,5658,0,4333,0,0,2,1,9,25,27,69,99.75,69,96, ,0,N,5,5,758246,7495198,42082,131145,1922,2000,0, , ,7.77,0,10,10,1,1008017502,1195,91,986061,210852,8d, ,15S 012,10305, ,1008010068,11/8/2001,1, , ,17V1.1,7,337.5606556,6914.271149,6736950,2,0,13303,13307,32,7200,32.50999832,35.74777985,3.237781525,32.70749855,0.765162201,1046.639954 +13305,MN,859,64,105,74,3003,2,2,10016,E016,14,15,5200,1,5,1A,105 MADISON AVENUE,C5-2, , , , , , , , , ,N,O4,5,0,P,"A&R REAL ESTATE, INC",12341,232644,232644,0,220644,12000,0,0,0,0,2,1,20.5,0,23,123.42,100,123,100, ,3,N,3,2,10350000,27014400,0,0,1913,0,0, , ,18.85,10,10,10,1,1008590064,0,74,988494,210670,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,462.7653386,13201.50245,16664400,10,0,13304,13308,58,13050,37.50888824,38.07777786,0.568889618,37.63020173,0.097970954,2182.551701 +13306,MN,379,32,103,28,4004,1,2,10009,L011,9,14,6300,1,3,4A,143 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,LES COALITION HOUSING,3483,17257,2000,15257,0,2000,0,0,0,0,2,1,5,17,18,50,69.67,50,69.67, ,0,N,3,5,135000,823950,121500,741555,1920,0,1998, , ,4.95,6,0,6,1,1003790032,0,28,991041,203355,12c, ,102 023,10202, ,0, ,1,1,1,17V1.1,0,247.7958144,3738.677141,688950,12,1,13305,13309,17,3825,7.409999847,10.11444378,2.704443932,7.801424728,0.852262122,132.6242204 +13307,MN,418,42,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,295 BROOME STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,"HUNG KANG, INC.",2875,15060,1500,13560,0,1500,0,0,0,0,2,1,7,26,28,32.83,87.5,33,77, ,3,N,5,2,202500,559350,0,0,1900,0,0, , ,5.24,4,4,4,1,1004180042,0,18,986433,201044,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,250.8426692,3122.279166,356850,13,0,13306,13310,13,2925,37.89666748,41.99222183,4.095554352,38.21171012,1.091339727,496.7522316 +13308,MN,449,23,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,68 ST MARKS PLACE,R8B, , , , , , , , , ,N,C2,2,0, ,"FVLB, LLC",2438,6016,0,6016,0,0,0,0,0,0,2,1,4,6,6,25,97.5,25,80,E,3,N,5,5,64735,258037,0,0,1900,1987,0, , ,2.47,4,0,4,1,1004490023,0,38,988054,204419,12c, ,102 019,10205,E-216,0, ,1, , ,17V1.1,0,245.81521,2400.749537,193302,12,0,13307,13311,11,2475,26.66699982,28.76888847,2.101888657,26.90175733,0.59861534,295.9193306 +13309,MN,832,79,105,76,2001,2,3,10001,L024,14,15,5200,1,5,1A,872 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,"872 MANAGEMENT, INC",1260,4158,4158,0,1658,2500,0,0,0,0,2,1,4,0,5,21,60,21,60,E,3,N,5,2,396000,981000,0,0,1910,1987,0, , ,3.3,10,10,10,1,1008320079,0,76,987291,211663,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,167.3386406,1346.525688,585000,6,0,13308,13312,5,1125,43.25099945,43.25099945,0,43.25099945,0,216.2549973 +13310,MN,460,40,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,73 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,SECOND AVENUE ASSETS,1854,8075,1200,6875,0,1200,0,0,0,0,2,1,5,10,12,24.08,77,24,67, ,3,N,5,2,368550,1522800,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,4.36,4,0,4,1,1004600040,0,38,987149,203966,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,211.1965593,2037.245157,1154250,1,0,13309,13313,9,2025,35.65444565,36.05622101,0.40177536,35.69908735,0.126265814,321.2917862 +13311,MN,310,23,103,16,4000,2,1,10002,E015,7,14,7400,1,3,2B,45 ESSEX STREET,C6-2, , , , , , , , , ,N,C7,4,0,P,45 ESSEX STREET LLC,2188,8085,2600,5485,0,2600,0,0,0,0,2,1,5,16,20,24.92,87.5,25,55, ,3,Y,5,1,148500,859050,0,0,1900,1988,0, , ,3.7,6.02,6,6.5,1,1003100023,0,16,987128,200292,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,228.9384315,2184.406671,710550,13,0,13310,13314,10,2250,34.98799896,37.97222137,2.984222412,35.67617683,0.992468291,356.7617683 +13312,MN,178,24,101,33,2006,2,1,10013,E007,1,15,7700,1,1,3B,9 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,C6,2,0,P,9 WHITE ST CORP,3777,17100,7100,10000,0,0,0,7100,0,0,2,1,5,3,5,37.5,100.5,38,98,E,3,Y,5,2,393869,649184,2360,2360,1912,0,0,Tribeca East Historic District, ,4.53,6.02,6,6.5,1,1001780024,0,33,982652,201243,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,279.311548,3838.376933,255315,14,1,13311,13315,18,4050,9.793333054,11.22999954,1.436666489,9.873147859,0.329084871,177.7166615 +13313,MN,93,30,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,49 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,Y1,8,0,C,FIRE DEPARTMENT,1837,5926,5926,0,0,0,0,0,0,5926,2,1,4,0,1,24.33,81.33,24,81, ,3,Y,5,2,232200,408150,232200,408150,1920,0,0, , ,3.23,10,10,10,1,1000930030,0,1501,982749,197927,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,213.9094317,2014.041373,175950,4,0,13312,13316,12,2700,24.69011116,25.50699997,0.816888809,25.4389259,0.22577614,305.2671108 +13314,MN,405,57,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,509 EAST 11 STREET,R8B, , , , , , , , , ,N,C4,2,0,C,HOUSING PRESERVATION,2581,7375,0,7375,0,0,0,0,0,0,2,1,5,8,8,25,103.25,25,57,E,3,N,5,2,89299,395855,89299,395855,1910,1985,0, , ,2.86,4,0,4,1,1004050057,0,34,989487,204656,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.0213212,2702.211057,306556,12,0,13313,13317,11,2475,13.81444454,17.33666611,3.522221565,15.86226255,1.573041202,174.4848881 +13315,MN,915,64,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2B,517 3 AVENUE,C1-9, , , , , , , , , ,N,C7,4,0, ,517 THIRD AVENUE,1090,4180,770,3410,0,770,0,0,0,0,2,1,5,8,10,18.17,60,18,46, ,3,N,5,2,136011,507176,0,0,1920,1988,0, , ,3.83,10,2,10,1,1009150064,0,78,990469,211087,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,164.6276263,1168.83668,371165,10,0,13314,13318,4,900,27.39299965,27.39299965,0,27.39299965,0,109.5719986 +13316,MN,425,39,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,16 DELANCEY STREET,C6-3A, , , , , , , , , ,N,S9,4,0, ,14 DELANCEY ST REALTY,1017,5069,1813,3256,813,1000,0,0,0,0,2,1,6,4,6,20.25,50.25,20,50, ,3,N,5,2,190956,436472,0,0,1900,1989,2012, , ,4.98,7.52,6,7.5,1,1004250039,0,18,986175,201705,12c, ,101N077,10204,E-216,0, ,1, , ,17V1.1,0,143.5966333,1075.523925,245516,13,0,13315,13319,4,900,38.80888748,38.80888748,0,38.80888748,0,155.2355499 +13317,MN,851,60,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,18 EAST 23 STREET,C6-4M, , , , , , , , , ,N,D7,4,0, ,"BAIT & TACKLE REALTY,",2469,10889,3300,7589,1500,1800,0,0,0,0,2,1,5,16,18,25,98.75,25,96,E,3,N,5,2,481500,2261700,0,0,1900,1988,0, , ,4.41,10,10,10,1,1008510060,0,56,987509,209121,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,257.7671696,2575.389025,1780200,11,0,13316,13320,11,2475,32.49111176,32.49111176,0,32.49111176,0,357.4022293 +13318,MN,646,7503,102,79,1000,2,3,10014,L005,6,15,6100,3,2, ,29 9 AVENUE,M1-5, , , , , , , , , ,N,RC,5,0, , ,10330,73409,25386,0,0,25386,0,0,0,0,2,1,6,0,2,103.25,100,103.25,100, ,3,N,0,5,1350000,15078150,0,0,1910,0,0, , ,7.11,0,5,6.5,1,1006467503,2343,79,982573,209094,8b, ,103 039,10210, ,1006460047,7/11/2013,1, , ,17V1.1,7,425.7254102,11325.10687,13728200,8,1,13317,13321,50,11250,12.05555534,16.01888847,3.96333313,12.14992201,0.562721624,607.4961004 +13319,MN,802,61,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,132 WEST 27 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,27 STREET EQUITIES LL,11850,147220,0,0,0,0,0,0,0,0,2,1,21,0,313,120,98.75,120,0, ,0,N,5,2,9000000,16964100,0,0,2014,0,0, , ,12.42,0,10,10,1,1008020061,0,95,986286,211023,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,439.6146922,12019.4309,7964100,2,0,13318,13322,53,11925,34.98033142,38.19566727,3.215335846,37.2024403,0.503686092,1971.729336 +13320,MN,572,54,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,21 WEST 8 STREET,C4-5, , , , , ,LC, , , ,N,C7,4,0, ,21-23-25 WEST 8TH STR,7052,28050,6750,21300,0,6750,0,0,0,0,2,3,5,24,26,75.08,93.92,75,94, ,3,N,5,2,1080000,2732400,0,0,1900,0,0,Greenwich Village Historic District, ,3.98,3.44,3.4,6.5,1,1005720054,0,63,984932,206325,12c, ,103 019,10207, ,1005720054,9/24/2008,1, , ,17V1.1,0,344.3580221,7279.482857,1652400,8,0,13319,13323,33,7425,18.70499992,24.53444481,5.829444885,19.37365653,1.669946879,639.3306656 +13321,MN,294,14,103,16,5005,2,1,10002,E015,7,14,7400,1,3,2B,4 ALLEN STREET,C6-2G, , , , , , , , , ,N,O5,5,0, ,CHUANG YE MANSION LLC,947,5731,5730,0,4775,955,0,0,0,0,2,1,6,0,6,61.58,19.75,50.7,18.9, ,3,Y,5,0,45000,689400,0,0,2002,0,0, , ,6.05,6.02,6,6.5,1,1002940014,0,16,986353,199643,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,156.5840495,1179.937824,644400,16,0,13320,13324,6,1350,39.43111038,39.43111038,0,39.43111038,0,236.5866623 +13322,MN,149,7502,101,21,1003,2,1,10007,L001,1,15,7700,3,1, ,281 BROADWAY,C6-4A, , , , , , , , , ,N,RM,4,0, ,281 BROADWAY ASSOCIAT,6824,111277,16232,94260,0,16232,0,0,0,0,2,1,20,83,84,50,96.17,75,90, ,1,Y,0,5,415801,21558604,0,11995502,2010,0,0, , ,16.31,10,10,10,1,1001497502,2339,21,982484,199630,12b, ,11S 018,10104, ,1001490031,8/8/2012,1, , ,17V1.1,7,455.3606142,9434.927781,21142800,14,0,13321,13325,42,9450,29.82299995,33.76444244,3.94144249,30.02135704,0.753898157,1260.896996 +13323,MN,773,8,104,91,3000,2,3,10011,E001,10,15,5200,1,4,2A,271 WEST 23 STREET,C2-7A, , , , , , , , , ,N,K2,5,0, ,"STANDARD RLTY ASSOC,I",1852,3375,3375,0,0,3375,0,0,0,0,2,1,2,0,1,18.75,98.75,18.75,90, ,0,N,5,2,303750,922500,0,0,2001,0,0, , ,1.82,7.52,2,7.5,1,1007730008,0,91,984855,210816,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,236.9066639,1766.151822,618750,2,0,13322,13326,8,1800,23.38899994,23.38899994,0,23.38899994,0,187.1119995 +13324,MN,754,41,104,103,1010,2,3,10001,L021,14,15,5500,1,4,2A,413 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0,P,413 RIGGIO LLC,2469,7109,7109,0,0,2299,0,0,0,4810,2,1,4,0,1,24.67,100,25,90,E,3,N,5,2,240300,690750,0,0,1901,1989,0, , ,2.88,9,6,9,1,1007540041,0,103,985545,212596,8d, ,105S019,10304, ,0, ,1, , ,17V1.1,0,254.1537138,2612.942297,450450,6,0,13323,13327,11,2475,29.79800034,32.45111084,2.653110504,30.9392532,1.132049566,340.3317852 +13325,MN,529,54,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,25 BLEECKER STREET,M1-5B, , , , , , , , , ,N,S2,4,0, ,25 BLEECKER LLC,1360,2962,896,2066,0,896,0,0,0,0,2,1,4,2,3,20,68.25,20,40, ,3,Y,5,2,27705,60135,0,0,1899,0,0,Noho East Historic District, ,2.18,0,5,6.5,1,1005290054,0,5502,986086,203674,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,179.5743137,1354.268235,32430,9,0,13324,13328,5,1125,41.23199844,41.50966644,0.277667999,41.28753204,0.1110672,206.4376602 +13326,MN,304,7,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,107 BOWERY,C6-1G, , , , , , , , , ,N,O2,5,0, ,107 REALTY LLC,4371,11787,11787,0,11787,0,0,0,0,0,2,1,3,0,1,41.75,105.17,42,100, ,3,Y,5,2,336150,2122200,0,0,1900,2001,0, , ,2.7,3.44,6,6.5,1,1003040007,0,16,985678,200744,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,297.7623732,4398.683641,1786050,0,0,13325,13329,18,4050,35.79199982,35.79199982,0,35.79199982,0,644.2559967 +13327,MN,803,43,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,811 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K1,5,0, ,FRANCHISE RLTY INSTCO,4940,4938,4938,0,0,4938,0,0,0,0,2,1,1,0,1,49.33,100,49,100, ,3,Y,3,2,909000,1782900,0,0,1930,1976,0, , ,1,10,10,10,1,1008030043,0,95,986765,211080,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,308.6937188,5311.775253,873900,2,0,13326,13330,23,5175,37.16799927,42.66888809,5.500888824,37.72728431,1.497246505,867.7275391 +13328,MN,885,88,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,439 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,S9,4,0,P,THE CHRISTOPHER LIM I,2370,11136,3198,7938,0,3198,0,0,0,0,2,2,4,6,8,39.5,60,39.5,50,E,0,N,3,5,111441,936547,0,0,1920,0,0, , ,4.7,10,10,10,1,1008850088,0,72,988956,210460,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,203.212767,2496.379729,825106,10,0,13327,13331,12,2700,32.84000015,42.38777924,9.547779083,35.07981523,3.745745307,420.9577827 +13329,MN,569,7503,102,61,1002,2,2,10003,L003,6,15,5700,3,2, ,16 EAST 12 STREET,C6-1, , , , , , , , , ,N,RM,4,0,P,18 EAST 12TH STREET C,6081,56541,5204,51337,0,5204,0,0,0,0,2,1,12,37,40,59.75,103.5,59,95, ,0,N,5,5,1165953,5934154,16520,16520,1910,0,0, , ,9.3,3.44,6,6.5,1,1005697503,248,61,986031,206692,12c, ,103 022,10207, ,1005690014,11/30/1985,1, , ,17V1.1,7,335.4014921,6433.006123,4768200,8,0,13328,13332,29,6525,34.37900162,36.2444458,1.865444183,34.51831173,0.455754955,1001.03104 +13330,MN,16,185,101,317.03,2005,2,1,10282,L010,1,15,8900,1,1,1Q,211 NORTH END AVENUE,BPC, , , , , ,BPC, , , ,N,D8,3,0,X, ,14451,278142,2000,276141,2000,0,0,0,0,0,2,1,24,253,256,196,70,196,70, ,1,Y,5,2,2601000,43021800,2601000,43021800,2004,0,0, , ,19.25,0,0,0,1,1000160185,0,31703,979964,200239,12a, ,101S093,10101, ,1000160003,10/29/2004,1, , ,17V1.1,0,554.2408265,14435.42981,40420800,3,0,13329,13333,65,14625,14.81999969,18.87777901,4.057779312,14.96928177,0.614977597,973.003315 +13331,MN,392,31,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,159 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,159 AVE C LLC,1909,9565,1500,8065,0,1500,0,0,0,0,2,2,5,7,9,23.25,83,23,82,E,2,Y,3,2,56610,203936,0,0,1900,0,0, , ,5.01,4,0,4,1,1003920031,0,28,990383,203736,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,221.4282025,2161.405099,147326,12,1,13330,13334,10,2250,7.576999664,8.924444199,1.347444534,7.971721935,0.507772319,79.71721935 +13332,MN,407,44,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,533 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C6,2,0,P,EAST 13 STREET CORP,2581,7954,0,7954,0,0,0,0,0,0,2,1,5,10,10,25,103.25,25,63, ,3,N,5,2,100411,446063,4720,4720,1900,1985,0, , ,3.08,4,2,4,1,1004070044,0,34,990007,204976,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,262.052166,2715.001459,345652,12,1,13331,13335,13,2925,11.62699986,13.84555531,2.21855545,12.11068373,0.79151775,157.4388886 +13333,MN,484,32,102,49,1010,2,1,10013,E055,1,15,6800,1,2,1A,450 BROOME STREET,M1-5B, , , , , , , , , ,N,D2,3,0,P,TAVROS MERCER OWNER L,2540,23700,4600,19100,0,4600,0,0,0,0,2,1,9,8,9,50,50.08,50,50, ,0,N,5,2,293224,937405,0,0,1900,2015,0,SoHo-Cast Iron Historic District, ,9.33,0,5,6.5,1,1004840032,0,49,984140,202410,12c, ,101N070,10206, ,1004840031,12/15/1987,1, , ,17V1.1,0,206.4154977,2660.27077,644181,0,0,13332,13336,11,2475,22.21222115,22.21222115,0,22.21222115,0,244.3344326 +13334,MN,443,56,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,38 EAST 1 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,FIRST GARDEN CORPORAT,19281,41236,0,41236,0,0,0,0,0,0,2,2,5,13,14,79.58,210,80,160, ,0,Y,5,0,1327500,3379950,4720,4720,1920,1995,2004, , ,2.14,4,0,4,1,1004430056,0,3602,987048,203149,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,681.2265732,19781.3717,2052450,1,0,13333,13337,87,19575,31.53899956,39.66889191,8.129892349,38.32214062,1.173793309,3334.026234 +13335,MN,791,18,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,141 WEST 15 STREET,R8B, , , , , , , , , ,N,C2,2,0,P,14115 REALTY LLC,2065,4160,0,4160,0,0,0,0,0,0,2,1,4,5,5,20,103.25,20,59, ,3,N,5,5,145848,245874,0,0,1910,0,0, , ,2.01,4,0,4,1,1007910018,0,81,984856,208484,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,254.0258176,2131.012078,100026,7,0,13334,13338,9,2025,27.87888908,30.95777702,3.078887939,28.90864203,1.190058384,260.1777782 +13336,MN,830,16,105,76,2003,2,3,10001,E001,13,15,5200,1,5,1B,37 WEST 28 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,REXTON REALTY CORP,4577,52800,52800,0,39600,13200,0,0,0,0,2,1,12,0,13,46.33,98.75,46,95, ,2,N,5,2,1485000,4669650,0,0,1911,0,0, , ,11.54,0,10,10,1,1008300016,0,76,987179,211002,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,292.026198,4639.37974,3184650,2,0,13335,13339,20,4500,44.45100021,47.82777786,3.376777649,44.6198391,0.735951626,892.3967819 +13337,MN,546,35,102,57,2002,2,1,10003,L009,6,15,5700,1,2,2A,707 BROADWAY,C6-2, , , , , , , , , ,N,W6,8,0,P,HEBREW UNION COLLEGE-,11190,106063,106063,0,0,0,0,0,0,106063,2,1,10,0,1,49.25,200,49.25,200, ,3,Y,4,2,1890000,8499600,1890000,8499600,1910,0,0,NoHo Historic District, ,9.48,6.02,6,6.5,1,1005460035,0,57,985796,204859,12c, ,103 023,10207, ,0, ,1, , ,17V1.1,0,545.5113315,11853.68127,6609600,9,0,13336,13340,53,11925,39.22399902,42.41666794,3.192668915,40.27748849,0.896486328,2134.70689 +13338,MN,503,20,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,178 PRINCE STREET,R7-2, , , , , , , , , ,N,S9,4,0, ,178 PRINCE STREET OWN,2533,11165,1200,9965,0,1200,0,0,0,0,2,1,5,3,5,25,101.33,25,88, ,3,N,5,5,447307,608429,0,0,1920,1988,2016,Sullivan-Thompson Historic District, ,4.41,3.44,0,6.5,1,1005030020,0,49,983674,203819,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,263.1986862,2793.537656,161122,0,0,13337,13341,12,2700,15.37666702,19.68444443,4.307777405,15.78430581,1.186866984,189.4116697 +13339,MN,925,24,106,64,4002,2,2,10003,E005,13,14,5900,1,6,1A,341 EAST 19 STREET,R7B, , , , , , , , , ,N,D3,3,0, ,LEAS REALTY,3680,10800,0,10800,0,0,0,0,0,0,2,1,5,18,18,40,92,20,76,E,3,N,5,2,141750,1165950,0,0,1910,1988,0, , ,2.93,3,0,3,1,1009250024,0,64,989466,207066,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,267.8058544,3726.017168,1024200,5,0,13338,13342,17,3825,15.27999973,17.86444473,2.584445,15.57568612,0.718072956,264.786664 +13340,MN,804,11,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,145 WEST 28 STREET,M1-6, , , , , , , , , ,N,O6,5,0, ,"S, M AND J WEST 28TH,",4710,57906,57906,0,53406,4500,0,0,0,0,2,1,12,0,12,48.08,98.75,48,99, ,0,Y,5,5,990000,5292450,0,0,1913,0,0, , ,12.29,0,10,10,1,1008040011,0,95,986344,211462,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,298.3997117,4862.896202,4302450,2,0,13339,13343,21,4725,33.41199875,33.49399948,0.082000732,33.41590355,0.017462782,701.7339745 +13341,MN,848,26,105,52,1001,2,2,10003,E014,13,15,5700,1,5,1O,35 EAST 19 STREET,M1-5M, , , , , , , , , ,N,O5,5,0, ,REBAR REALTY INC,1840,5320,5320,0,3180,1740,0,400,0,0,2,1,3,0,3,20,92,20,87,E,0,N,5,5,274500,642150,0,0,1910,1998,0,Ladies' Mile Historic District, ,2.89,0,5,6.5,1,1008480026,0,52,987301,208264,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,235.5481769,1942.623481,367650,7,0,13340,13344,9,2025,35.19100189,35.19100189,0,35.19100189,0,316.719017 +13342,MN,743,60,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,326 WEST 20 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,"TAYLOR, AMY W",1625,3200,0,3200,0,0,0,0,0,0,2,1,4,3,3,17.67,92,17.67,50, ,3,N,5,2,45441,139945,8450,8450,1910,0,0,Chelsea Historic District, ,1.97,3,0,3,1,1007430060,0,89,983912,210250,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,223.6114834,1611.961719,94504,7,0,13341,13345,7,1575,15.57888889,18.07888794,2.499999046,16.20238073,1.000353608,113.4166651 +13343,MN,452,37,103,40,5001,1,2,10003,L011,9,14,6200,1,3,4B,163 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,S9,4,0, ,EAST VILLAGE AT FIRST,2692,7800,2600,5200,0,2600,0,0,0,0,2,1,3,4,9,26.92,100,26.92,100, ,0,N,3,5,340805,1043182,0,0,1920,1996,1996, , ,2.9,4,0,4,1,1004520037,0,40,988493,204875,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,259.9451578,2947.25176,702377,12,0,13342,13346,13,2925,22.86222267,23.15288925,0.29066658,22.88458164,0.077453736,297.4995613 +13344,MN,590,37,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,13 CORNELIA STREET,R6, , , , , , , , , ,N,C1,2,0, ,143 PERRY CORP.,2380,6860,0,6860,0,0,0,0,0,0,2,1,5,10,10,25.08,95.5,25,40, ,3,N,5,2,186892,560366,0,0,1890,1985,1987,Greenwich Village Historic District Exte, ,2.88,2.43,0,4.8,1,1005900037,0,67,983744,205839,12a, ,103 005,10208, ,1005900037,12/12/1991,1, , ,17V1.1,0,145.0066168,1198.552664,373474,9,0,13343,13347,4,900,17.54000092,17.54000092,0,17.54000092,0,70.16000366 +13345,MN,344,72,103,22.01,2000,1,2,10002,L018,7,14,7600,1,3,2A,206 RIVINGTON STREET,R7A, , , , , , , , , ,N,C7,4,0, ,LO-HO LLC,4030,16237,1500,14737,0,1500,0,0,0,0,2,1,6,25,27,40,100.75,40,86, ,3,N,5,2,495000,1361250,0,0,1920,0,0, , ,4.03,4,0,4,1,1003440072,0,2201,989015,201086,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,287.4741027,4153.16727,866250,1,0,13344,13348,20,4500,17.05666733,17.05666733,0,17.05666733,0,341.1333466 +13346,MN,633,13,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,326 WEST 11 STREET,R6, , , , , , , , , ,N,D1,3,0, ,EMGE-4,4820,19260,0,19260,0,0,0,0,0,0,2,2,4,31,31,50.83,98.67,51,66, ,2,Y,5,2,810000,2362050,0,0,1920,1978,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1006330013,0,75,982194,207213,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,309.5802834,5221.27588,1552050,9,0,13345,13349,22,4950,15.33111095,16.92355537,1.59244442,15.67630833,0.286853453,344.8787832 +13347,MN,30,32,101,9,1012,2,1,10004,L015,1,15,7700,1,1, ,44 WATER STREET,C5-5, , , , , ,LM, , , ,N,S3,4,0, ,"WATER HOLDINGS, LLC",1634,6336,1500,4836,0,1500,0,0,0,0,2,1,4,3,4,28.25,57.25,28,57, ,3,Y,5,5,189107,493196,0,0,1900,0,0, , ,3.88,10,15,15,1,1000300032,0,9,981449,195619,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,184.1206978,1846.783445,304089,17,1,13346,13350,9,2025,7.721999645,7.721999645,0,7.721999645,0,69.49799681 +13348,MN,595,6,101,39,1002,2,1,10013,L008,1,15,7700,1,1,3B,288 WEST STREET,C6-2A, , , , , ,TMU, , , ,N,D0,3,0,P,MEDIUM LIPSTICK LTD,4773,37904,0,37904,0,0,0,0,0,0,2,1,8,16,16,46.08,103.58,46,102, ,1,N,5,2,183600,3491550,7080,7080,1920,1986,2013, , ,7.94,6.02,6,6.5,1,1005950006,0,39,981257,203313,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,305.5419697,5083.142068,3307950,0,1,13347,13351,23,5175,7.28000021,8.025555611,0.745555401,7.793864706,0.120795259,179.2588882 +13349,MN,637,41,102,75,1008,2,3,10014,L005,6,15,6400,1,2,2K,161 CHARLES STREET,R6A, , , ,C1-5, , , , , ,N,B1,1,0, ,STALLER JAN,2244,4212,0,4212,0,0,0,0,0,0,2,3,3.5,2,2,22,102.08,22,40,E,2,Y,5,2,50287,134679,0,0,1901,2004,0, , ,1.88,3,0,3,1,1006370041,0,75,981654,206754,12a, ,103 011,10210, ,0, ,1, ,1,17V1.1,0,253.2755088,2402.539014,84392,9,1,13348,13352,9,2025,10.47666645,10.57755566,0.100889206,10.52624692,0.023784299,94.73622227 +13350,MN,526,16,102,65,3002,2,3,10014,L009,6,15,5700,1,2,2A,270 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MACDOUGAL & SIXTH REA,4000,15900,1050,14850,0,1050,0,0,0,0,2,1,6,32,34,40,100,40,86, ,3,N,5,2,391500,1857150,0,941094,1900,2016,2003,South Village Historic District, ,3.98,3.44,0,6.5,1,1005260016,0,65,983691,204904,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,285.8756448,4148.691766,1465650,9,0,13349,13353,20,4500,20.00333405,22.37555504,2.372220993,20.23538952,0.696358115,404.7077904 +13351,MN,587,30,102,67,3001,2,3,10014,E024,6,15,6400,1,2,2B,51 7 AVENUE,C2-6, , , , , , , , , ,N,D7,4,0, ,W & W REALTY ASSOCIAT,3915,21679,3915,17764,0,3915,0,0,0,0,2,1,5,32,35,68.25,102.08,50,102, ,3,Y,5,2,389700,2147400,0,0,1926,1988,0,Greenwich Village Historic District Exte, ,5.54,3.44,2,6.5,1,1005870030,0,67,983219,205768,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,277.2590988,3959.285568,1757700,9,0,13350,13354,17,3825,18.00777817,18.10066605,0.092887878,18.01324216,0.021855971,306.2251167 +13352,MN,890,61,106,72,7000,2,2,10016,L007,17,14,5300,1,6,2B,142 EAST 35 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,STANISLAW ZAGORSKI AS,1438,3150,0,3150,0,0,0,0,0,0,2,1,4,3,3,14.75,97.5,14.75,55, ,3,N,5,2,74664,165888,0,0,1901,0,0, , ,2.19,4,0,4,1,1008900061,0,72,990113,211304,8d, ,104 031,10307, ,0, ,1, , ,17V1.1,0,230.3651025,1468.305883,91224,10,0,13351,13355,6,1350,37.79100037,37.79100037,0,37.79100037,0,226.7460022 +13353,MN,206,20,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,119 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0, ,MINGIONE FAMILY PARTN,2500,4116,4116,0,0,1029,0,3087,0,0,2,1,4,3,4,25,100,26,50,E,3,N,5,2,132300,461700,0,0,1910,0,0, , ,1.65,6.02,6,6.5,1,1002060020,0,41,984686,200803,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,256.2294393,2647.340809,329400,0,0,13352,13356,12,2700,25.95999908,34.58110809,8.621109009,26.67842484,2.382748655,320.141098 +13354,MN,590,53,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,289 BLEECKER STREET,C2-6, , , , , , , , , ,N,K4,4,0, ,"GINZEL, ANDREW H",2119,7505,975,6530,0,975,0,0,0,0,2,1,6,5,6,28.25,75,28.5,72, ,2,Y,5,0,277200,1126800,0,0,1910,1987,0,Greenwich Village Historic District, ,3.54,3.44,2,6.5,1,1005900053,0,67,983335,206022,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,212.2554867,2230.028553,849600,9,0,13353,13357,9,2025,19.74111176,19.74111176,0,19.74111176,0,177.6700058 +13355,MN,65,4,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1B,25 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,K2,5,0, ,"59 NASSAU STREET, LLC",3370,10083,10083,0,0,10083,0,0,0,0,2,1,2,0,9,49.75,75.5,69,48, ,3,Y,3,2,760500,1536750,0,0,1965,0,0, , ,2.99,10,15,15,1,1000650004,0,1502,981794,197684,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,238.7665012,3356.642956,776250,4,0,13354,13358,15,3375,25.74799919,29.17399979,3.426000595,28.94559975,0.854594696,434.1839962 +13356,MN,520,7502,102,37,2000,2,3,10012,L020,1,15,6800,1,2, ,3 KING STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,1280,4912,1640,3272,1640,0,0,0,0,0,2,1,5,4,6,17.6,72.75,17.25,63, ,0,N,5,5,23638,587112,8414,195704,1925,2006,0,Charlton-King-Vandam Historic District, ,3.84,3.44,0,6.5,1,1005207502,2045,37,983484,204437,12a, ,11N 068,10206, ,1005200086,8/21/2009,1, , ,17V1.1,7,186.2835738,1335.307648,563474,9,0,13355,13359,6,1350,21.50111198,21.50111198,0,21.50111198,0,129.0066719 +13357,MN,437,40,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,425 EAST 9 STREET,R8B, , , , , , , , , ,N,C6,2,0,P,9TH STREET APT INC,1415,3765,0,3765,0,0,0,0,0,0,2,1,4,4,4,16.67,84.92,17,75,E,3,N,5,2,73180,251907,3730,3730,1900,1985,0, , ,2.66,4,0,4,1,1004370040,0,34,988804,204457,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,211.8638505,1497.416282,178727,12,0,13356,13360,7,1575,17.51666641,21.45555496,3.93888855,18.4141268,1.48169845,128.8988876 +13358,MN,588,28,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,298 BLEECKER STREET,C2-6, , , , , , , , , ,N,S2,4,0, ,298 BLEECKER REALTY,1571,3420,1140,2280,0,1140,0,0,0,0,2,1,3,2,3,19.42,80.92,19,60,E,3,N,5,2,17391,67250,0,0,1910,2009,2009,Greenwich Village Historic District, ,2.18,3.44,2,6.5,1,1005880028,0,73,983167,206095,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,207.0186271,1539.13477,49859,9,0,13357,13361,7,1575,22.65500069,23.19666672,0.541666031,22.75206402,0.184871094,159.2644482 +13359,MN,625,7501,102,77,3006,2,3,10014,L005,6,15,6100,3,2, ,299 WEST 12 STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,299 WEST 12TH ST COND,10875,132846,522,132324,0,522,0,0,0,0,2,1,17,178,179,140.75,80.5,0,0, ,0,Y,5,5,2090249,14452658,85780,85780,1930,1986,0,Greenwich Village Historic District, ,12.22,3.44,2,6.5,1,1006257501,363,77,982793,208054,12a,Y,103 016,10210, ,1006250050,1/7/1987,1, , ,17V1.1,7,440.2494408,11265.76795,12362400,8,0,13358,13362,54,12150,17.76333427,19.37666702,1.613332748,17.84471279,0.336507235,963.6144905 +13360,MN,803,40,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,805 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0, ,PT REAL ESTATE HOLDIN,1800,4445,4445,0,3245,1200,0,0,0,0,2,1,4,0,4,20,100,20,76,E,3,Y,5,2,328500,968400,0,0,1930,1989,0, , ,2.47,10,10,10,1,1008030040,0,95,986739,211026,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,244.5012121,1816.614799,639900,2,0,13359,13363,9,2025,37.16799927,37.16799927,0,37.16799927,0,334.5119934 +13361,MN,576,76,102,63,1001,2,3,10011,L003,6,15,5700,1,2,3A,71 WEST 12 STREET,R6, , , , , , , , , ,N,D1,3,0, ,"71 WEST 12TH STREET,",9034,37824,945,36879,945,0,0,0,0,0,2,1,6,46,47,87.5,103.25,88,88, ,3,N,5,2,783000,3774600,0,0,1922,1988,0,Greenwich Village Historic District, ,4.19,2.43,0,4.8,1,1005760076,0,63,985067,207408,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,382.5258081,9085.038662,2991600,8,0,13360,13364,41,9225,23.70299912,24.13788795,0.43488884,23.71360616,0.067084842,972.2578526 +13362,MN,858,6,105,74,3005,2,4,10016,E001,13,15,5200,1,5,1B,3 EAST 28 STREET,C5-2, , , , , , , , , ,N,O6,5,0, ,MALWIN REALTY LLC,4938,61968,61968,0,53968,8000,0,0,0,0,2,1,12,0,13,50,98.75,50,99, ,0,N,5,5,1485000,5124150,0,0,1916,0,0,Madison Square North Historic District, ,12.55,10,10,10,1,1008580006,0,74,987981,210556,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,305.4331428,5135.83492,3639150,11,0,13361,13365,23,5175,38.89199829,41.59999847,2.708000183,39.11018189,0.655354082,899.5341835 +13363,MN,816,7,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,53 WEST 14 STREET,C6-2M,C6-3A,C6-2A, , , , , , , ,Y,D6,4,0, ,COURTNEY HOUSE LLC,20375,310000,35000,275000,0,10000,25000,0,0,0,2,2,20,239,245,120,206,120,192, ,3,Y,4,2,2277000,21371850,0,0,1965,1984,0, , ,15.21,6.02,6,6.5,1,1008160007,0,54,985314,207930,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,740.6967107,21388.441,19094900,7,0,13362,13366,94,21150,28.19599915,30.99666786,2.800668716,28.31107724,0.520771712,2661.241261 +13364,MN,147,7509,101,33,2010,2,1,10013,E007,1,15,7700,3,1, ,137 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,13144,74927,29417,45510,0,29417,0,0,0,0,2,1,5,19,24,74.75,175.5,75,176, ,3,Y,4,5,1620000,8912251,0,0,1915,2004,0,Tribeca South Historic District, ,5.7,6.02,6,6.5,1,1001477509,1816,33,982145,200356,12a, ,101S036,10104, ,1001470005,12/20/2007,1, , ,17V1.1,7,521.0882794,14083.56884,7292250,14,0,13363,13367,64,14400,12.94333363,17.61888886,4.675555229,13.22519125,0.937486391,846.41224 +13365,MN,415,66,103,18,3003,1,1,10002,L018,7,14,7400,1,3,2A,141 ORCHARD STREET,C4-4A, , , , , , , , , ,N,H9,5,0, ,ALLEN STREET OWNER LL,2214,19532,0,0,0,0,0,0,0,0,2,1,16,0,1,25.25,87.67,50,87, ,0,N,4,5,498150,1082700,0,0,2009,0,0, , ,8.82,4,4,4,1,1004150066,0,18,987163,201622,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,233.628972,2290.415772,584550,13,0,13364,13368,11,2475,35.96333313,36.94666672,0.983333588,36.54338421,0.306505035,401.9772263 +13366,MN,691,43,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,516 WEST 20 STREET,C6-2, , , , , ,WCH, , , ,N,G1,10,0, ,CAROLINA MANUFACTURIN,16100,61184,61184,0,0,10000,51184,0,0,0,2,1,4,0,3,175,92,175,92, ,3,N,5,0,2250000,10667250,0,0,1914,2009,0, , ,3.8,6.02,6,6.5,1,1006910043,0,99,982362,211106,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,538.7522101,16495.38921,8417250,7,1,13365,13369,73,16425,6.974444389,7.894444466,0.920000076,7.000582898,0.130315045,511.0425515 +13367,MN,171,7,101,31,1009,2,1,10013,L001,5,15,7700,1,1,3A,360 BROADWAY,C6-4A, , , , , , , , , ,N,D7,4,0, ,"360 BROADWAY, LLC",6443,31500,6300,25200,0,6300,0,0,0,0,2,1,5,8,10,56,115.08,56,115, ,3,Y,3,2,349536,2638214,0,0,1900,1965,0, , ,4.89,10,10,10,1,1001710007,0,31,983323,200567,12a, ,101S034,10105, ,0, ,1, , ,17V1.1,0,356.2058837,7027.019376,2288680,14,0,13366,13370,31,6975,26.4477787,30.59000015,4.142221451,27.34519719,0.930704344,847.7011127 +13368,MN,564,4,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,107 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,D8,3,0, ,107 UNIVERSITY ASSOCI,7200,43395,4000,39395,0,4000,0,0,0,0,2,1,6,45,47,71,104.17,71,97, ,3,Y,5,2,549000,3966750,0,0,1940,0,0, , ,6.03,6.02,2,6.5,1,1005640004,0,61,986407,206744,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,356.9329592,7924.296967,3417750,8,0,13367,13371,35,7875,38.11633301,39.17333221,1.056999207,38.14653299,0.176094615,1335.128654 +13369,MN,147,13,101,33,2010,2,1,10013,E007,1,15,7700,1,1,3A,137 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,S4,4,0, ,137 WEST BROADWAY OWN,1667,8717,2077,6640,0,2077,0,0,0,0,2,1,5,4,5,33.33,50,33,50, ,3,N,5,5,129489,550587,0,0,1915,1964,0,Tribeca South Historic District, ,5.23,6.02,6,6.5,1,1001470013,0,33,982046,200412,12a, ,101S036,10104, ,0, ,1, , ,17V1.1,0,171.3819402,1710.582101,421098,14,0,13368,13372,8,1800,12.94333363,13.25444412,0.311110497,12.98222244,0.102890126,103.8577795 +13370,MN,525,7,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,183 SULLIVAN STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,TOM SULLIVAN LLC,4952,20934,1395,19539,0,1395,0,0,0,0,2,1,6,40,42,50,100.17,50,88, ,3,Y,5,2,234000,2615400,0,0,1900,1983,0,South Village Historic District, ,4.23,3.44,0,6.5,1,1005250007,0,65,984106,204627,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,305.5228263,5052.722263,2381400,9,0,13369,13373,23,5175,23.62666702,27.12666702,3.5,23.94808728,0.969937069,550.8060074 +13371,MN,923,55,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,316 EAST 18 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,"WASICO, LLC",1560,3680,0,2760,0,0,0,0,0,0,2,1,3,1,1,20,78,20,46, ,3,N,5,1,46481,198559,0,0,1901,2008,0, , ,2.36,3,0,3,1,1009230055,0,48,989144,206805,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,195.1917141,1527.406986,152078,5,0,13370,13374,7,1575,16.06999969,18.65777779,2.587778091,16.713968,1.033726232,116.997776 +13372,MN,488,7501,102,47,1002,2,1,10013,L008,1,15,6800,1,2, ,52 THOMPSON STREET,M1-5B,M1-5A, , , , , , , , ,Y,RM,4,0, , ,7318,32440,23244,9196,22296,0,0,948,0,0,2,1,7,2,7,106.25,94,57,94, ,0,Y,0,5,364503,5464754,0,0,1900,1999,0, , ,4.43,0,5,6.5,1,1004887501,1105,47,983342,202988,12a, ,11N 069,10206, 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REALTY IN,2467,9398,0,9398,0,0,0,0,0,0,2,1,5,20,20,24.67,100,25,74, ,3,N,5,2,135000,1388700,9701,9701,1910,1986,0,Sullivan-Thompson Historic District, ,3.81,3.44,0,6.5,1,1005170007,0,49,983795,204135,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,255.6382873,2515.426941,1253700,9,0,13373,13377,11,2475,17.9011116,22.92000008,5.018888474,19.20929337,2.138180389,211.302227 +13375,MN,16,7515,101,317.04,3000,2,1,10280,E010,1,15,8900,1,1, ,225 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0, , ,34776,251430,29421,222009,0,0,27987,0,0,1434,2,1,23,285,288,213,221,188.6,210.73, ,0,Y,0,5,6254954,44264693,6254954,44261696,1985,0,0, , ,7.23,0,0,0,1,1000167515,1848,31704,979816,197742,12b, ,101S090,10101, ,1000160070,5/15/2008,1,1, ,17V1.1,7,893.9667909,37462.04041,38009700,15,1,13374,13378,166,37350,10.51666641,16.13444519,5.617778778,13.15409338,1.054349668,2183.579501 +13376,MN,584,25,102,67,4002,2,3,10014,E024,6,15,6400,1,2,2B,44 COMMERCE STREET,R6, , , , , , , , , ,N,A4,1,0, ,"SMITH, PAUL",1716,2205,0,2205,0,0,0,0,0,0,2,1,3,1,1,21,78.08,21,35, ,3,Y,5,2,27075,153463,0,0,1901,2005,0,Greenwich Village Historic District, ,1.28,2.43,0,4.8,1,1005840025,0,67,982723,205672,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,198.9279245,1565.363275,126388,9,0,13375,13379,8,1800,16.16111183,17.58333206,1.42222023,16.33888936,0.47035513,130.7111149 +13377,MN,355,41,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,172 NORFOLK STREET,R7A, , , , , , , , , ,N,M1,8,0,P,ARBOL 172 CORP.,7500,6344,6344,0,0,0,0,0,0,6344,2,1,1,0,1,75,100,60,94, ,3,N,5,2,357750,636300,0,0,1920,0,0, ,ANSHE SLONIM SYNAGOGUE,0.85,4,0,4,1,1003550041,0,3001,988222,202008,12c, ,102 004,10201, ,0, ,1, , ,17V1.1,0,355.0799003,7681.930465,278550,1,0,13376,13380,34,7650,23.94333458,28.99777794,5.054443359,24.12985409,0.874835935,820.4150391 +13378,MN,486,38,102,49,1009,2,1,10013,E055,1,15,6800,1,2,1A,480 BROOME STREET,M1-5A, , , , , , , , , ,N,D0,3,0, ,480 BROOME ST APTS C,2500,12525,900,11625,0,900,0,0,0,0,2,1,6,5,6,25,100,25,91,E,3,N,5,2,189818,714025,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,5.01,0,5,6.5,1,1004860038,0,49,983743,202695,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,264.0992655,2844.875125,524207,0,0,13377,13381,13,2925,11.1744442,11.1744442,0,11.1744442,0,145.2677746 +13379,MN,547,14,102,59,3003,2,1,10003,E033,6,15,5700,1,2,2A,18 WAVERLY PLACE,R7-2, , , , , , , , , ,N,W5,8,0,X,NEW YORK UNIVERSITY,13624,51044,51044,0,0,0,0,0,0,51044,2,2,6,0,2,83.33,81.5,83.33,82, ,0,Y,3,2,1057500,7023600,1057500,7023600,1900,0,0, , ,3.75,3.44,0,6.5,1,1005470014,0,59,985701,205270,12c, ,103 023,10207, ,1005470014,12/12/2000,1, , ,17V1.1,0,349.8062627,7647.107701,5966100,9,0,13378,13382,35,7875,34.72000122,36.13666534,1.416664124,35.00127705,0.496063256,1225.044697 +13380,MN,405,12,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,508 EAST 12 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,VILLAGE KF 504 EAST 1,3872,15428,2500,12928,0,2500,0,0,0,0,2,1,6,28,30,37.5,103.25,38,89, ,3,N,5,2,382050,2524950,0,0,1930,1987,0, , ,3.98,4,0,4,1,1004050012,0,34,989555,204740,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,287.9127,3982.436665,2142900,12,0,13379,13383,19,4275,13.81444454,15.93000031,2.115555763,14.02678374,0.619891356,266.5088911 +13381,MN,613,28,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,17 PERRY STREET,R6, , , , , , , , , ,N,C7,4,0, ,PERRY MANSIONS,1600,6400,825,5575,0,825,0,0,0,0,2,1,4,8,10,21.33,75,21,74, ,2,N,3,2,217009,385756,0,0,1950,0,0,Greenwich Village Historic District, ,4,2.43,0,4.8,1,1006130028,0,73,983717,207390,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,201.1248581,1795.742907,168747,8,0,13380,13384,8,1800,25.34199905,26.00222206,0.660223007,25.45347142,0.22082342,203.6277714 +13382,MN,29,7502,101,9,1011,2,1,10004,L015,1,15,7700,1,1, ,1 HANOVER SQUARE,C5-5, , , , , ,LM, , , ,N,RK,5,0, ,INDIA HOUSE CONDOMINI,9200,35559,35559,0,0,35559,0,0,0,0,2,1,3,0,2,75.42,123.15,0,0, ,0,Y,0,5,715950,5941350,0,0,1900,0,0,Stone Street Historic District,INDIA HOUSE (FORMER HANOVER BANK),3.87,10,15,15,1,1000297502,1049,9,981523,195949,12b, ,101S002,10101, ,1000290033,9/27/1999,1, ,1,17V1.1,7,395.2130557,9199.430578,5225400,17,1,13381,13385,39,8775,10.69444466,14.31333351,3.618888855,11.62846174,0.478744495,453.5100079 +13383,MN,193,7504,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,47 WALKER STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,SHUSHANA CORP,4193,14192,4193,9999,0,0,0,0,0,4193,2,1,5,8,9,39,110,0,0, ,0,N,5,5,57553,744472,2360,2360,1915,0,0,Tribeca East Historic District, ,3.38,6.02,6,6.5,1,1001937504,588,33,983218,201198,12a, ,101N046,10105, ,1001930032,12/28/1988,1, , ,17V1.1,7,299.3236927,4279.726841,686919,14,0,13382,13386,20,4500,13.68111134,14.92300034,1.241889,13.74320579,0.270663432,274.8641157 +13384,MN,162,1,103,29,3003,2,1,10038,E009,5,15,7700,1,3,1A,1 CHATHAM SQUARE,C6-1G, , , , , ,TA, , , ,N,O6,5,0, ,WING MING PROPERTIESU,4980,51837,51837,0,46880,390,0,0,0,4567,2,1,12,0,62,69.42,103.67,69,80, ,3,Y,3,2,990000,5924250,0,0,1977,0,0, , ,10.41,3.44,6,6.5,1,1001620001,0,29,984663,199344,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,316.6519528,5720.784813,4934250,16,0,13383,13387,26,5850,30.06888962,30.90500069,0.836111069,30.85331264,0.17572643,802.1861286 +13385,MN,425,35,103,18,5001,1,1,10002,E055,5,14,7400,1,3,2A,159 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,C4,2,0, ,"MAN 441, LLC",3175,6340,1100,5240,0,1100,0,0,0,0,2,1,5,8,9,25.17,126.92,25,46, ,3,Y,5,1,25180,78192,0,0,1900,2013,0, , ,2,7.52,6,7.5,1,1004250035,0,18,986186,201795,12c, ,101N077,10204, ,0, ,1, , ,17V1.1,0,311.8886284,3370.181296,53012,13,0,13384,13388,15,3375,38.80888748,40.36899948,1.560112,38.91289495,0.389160306,583.6934242 +13386,MN,871,70,105,50,3001,2,2,10003,L003,13,14,5300,1,5,1B,116 EAST 16 STREET,C6-2A, , , , , , , , , ,N,O6,5,0,P,EAST 16 ST. REALTY,5834,64405,64405,0,52405,12000,0,0,0,0,2,1,12,0,12,56.5,103.25,56.5,93, ,0,N,5,5,1305000,6343650,0,0,1910,1988,0, , ,11.04,6.02,6,6.5,1,1008710070,0,50,987443,207176,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,321.8951297,5876.294989,5038650,5,0,13385,13389,25,5625,37.98099899,38.84999847,0.868999481,38.09169235,0.257425053,952.2923088 +13387,MN,210,10,101,33,1000,2,1,10013,L001,1,15,7700,1,1,3B,324 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,K4,4,0, ,TAI LOY CORP,2450,12250,12250,0,4000,2450,0,5800,0,0,2,1,5,0,5,25.42,100.75,25,100, ,3,Y,4,2,288000,990450,0,0,1910,1988,0,Tribeca East Historic District, ,5,6.02,6,6.5,1,1002100010,0,33,983380,201562,12a, ,101N046,10105,E-257,0, ,1, , ,17V1.1,0,258.2460991,2627.151059,702450,0,0,13386,13390,12,2700,12.33199978,12.33199978,0,12.33199978,0,147.9839973 +13388,MN,197,1,101,31,1003,2,1,10013,L001,5,15,7700,1,1,3B,87 LAFAYETTE STREET,C6-4, , , , , , , , , ,N,P5,8,0,P,DOWNTOWN COMMUNITY TE,9314,17600,17600,0,0,0,0,8800,0,8800,2,1,3,0,1,84.5,112.25,77,109,E,3,Y,3,0,630000,2462400,630000,2462400,1895,1999,0, ,"FIRE HOUSE, ENGINE COMPANY 31",1.89,10,10,10,1,1001970001,0,31,983931,200612,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,396.5981141,9730.167376,1832400,14,0,13387,13391,43,9675,13.85000038,13.85000038,0,13.85000038,0,595.5500164 +13389,MN,443,45,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,64 EAST 1 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,64 EAST 1ST STREET IN,3325,14855,0,14855,0,0,0,0,0,0,2,1,7,6,6,25,134.92,25,80.67, ,3,Y,5,0,118360,1778077,0,0,1920,2014,2014, , ,4.47,4,0,4,1,1004430045,0,3602,987310,202973,12c, , , ,E-216,0, ,1, , ,17V1.1,0,322.4160361,3402.419307,1659720,1,0,13388,13392,16,3600,31.19000053,35.76477814,4.574777603,31.49773657,1.104965127,503.9637852 +13390,MN,448,32,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,103 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,S4,4,0, ,EMILY H CHEN,2208,6448,1000,5448,0,1000,0,0,0,0,2,1,5,4,5,22.08,100,22,74,E,3,N,5,5,135142,182971,0,0,1920,1986,0, , ,2.92,4,0,4,1,1004480032,0,38,988038,204050,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,253.2411569,2415.911354,47829,1,0,13389,13393,9,2025,27.1590004,27.1590004,0,27.1590004,0,244.4310036 +13391,MN,406,44,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,541 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,541 E 12TH ST CORP,1850,6005,800,5205,0,800,0,0,0,0,2,1,5,7,8,17.92,103.25,18,66, ,3,N,5,0,17737,74543,0,0,1900,0,0, , ,3.25,4,0,4,1,1004060044,0,34,989960,204698,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,248.6394894,1913.883323,56806,12,1,13390,13394,8,1800,11.35888863,13.79111099,2.432222366,11.8641665,0.898982882,94.91333199 +13392,MN,769,36,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,156 7 AVENUE,C6-3A, , , , , , , , , ,N,K1,5,0, ,"CHELSEA JENNIFER, LLC",3680,3470,3470,0,0,3470,0,0,0,0,2,1,1,0,2,46,80,46,80, ,3,N,5,2,742500,1624500,0,0,1920,0,0, , ,0.94,7.52,6,7.5,1,1007690036,0,87,984929,209607,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.5037744,3692.756998,882000,7,0,13391,13395,17,3825,21.88888931,21.88888931,0,21.88888931,0,372.1111183 +13393,MN,277,51,103,8,2000,2,1,10038,E009,5,14,7800,1,3,1A,29 CATHERINE STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,29 CATHERINE STREET O,2789,12705,4159,8546,0,4159,0,0,0,0,2,1,5,9,11,25.08,114.58,25,92, ,3,N,5,2,188100,873450,0,0,1918,1988,0, , ,4.56,3.44,0,6.5,1,1002770051,0,8,985143,198885,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,283.1706068,2958.063099,685350,16,0,13392,13396,13,2925,21.55400085,22.63266754,1.078666687,21.67401783,0.304853449,281.7622318 +13394,MN,642,46,102,79,3001,2,3,10014,L005,6,15,6100,1,2,3B,86 HORATIO STREET,R6, , , , , , , , , ,N,C6,2,0,P,THE CITY OF NEW YORK,2185,8125,0,8125,0,0,0,0,0,0,2,1,5,20,20,25,87.42,25,64, ,3,N,5,2,202500,948600,4424,4424,1915,0,0,Greenwich Village Historic District, ,3.72,2.43,0,4.8,1,1006420046,0,79,982159,208359,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,227.7726858,2222.126836,746100,8,1,13393,13397,6,1350,10.79777813,15.57666683,4.778888702,11.59425958,1.780986666,69.56555748 +13395,MN,228,7502,102,47,2008,2,1,10013,L008,1,15,6800,1,2, ,311 WEST BROADWAY,M1-5B,M1-5A, , , , , , , , ,Y,RM,4,0, , ,26375,149519,24254,125265,0,4406,19848,0,0,0,2,2,9,67,68,115,200,112.92,72.56, ,0,Y,0,5,2965496,25188747,0,9511175,2007,0,0,SoHo-Cast Iron Historic District, ,5.67,0,5,6.5,1,1002287502,2024,47,983201,202188,12a, ,11N 045,10105, ,1002280012,5/27/2009,1,1,1,17V1.1,7,701.5854519,26541.48452,22223300,0,1,13394,13398,118,26550,9.686666489,10.95888901,1.272222519,9.715640125,0.158524213,1146.445535 +13396,MN,416,67,103,30.01,2002,1,1,10002,L018,7,14,6600,1,3,2A,147 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,HORSESHOE REALTY LLC,2187,10593,1766,8827,0,1766,0,0,0,0,2,1,6,15,19,25,87.5,25,87,E,3,N,4,2,226800,870750,0,0,1900,0,0, , ,4.84,4,4,4,1,1004160067,0,3001,987238,201820,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,233.453612,2293.177167,643950,13,0,13395,13399,11,2475,34.84777832,34.84777832,0,34.84777832,0,383.3255615 +13397,MN,232,21,102,45,1007,2,1,10013,E055,5,15,6800,1,2,1A,30 HOWARD STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,PUTNAM ROLLING LADDER,3050,15250,15250,0,9150,6100,0,0,0,0,2,1,5,0,2,25.58,119.08,26,119, ,3,N,3,2,181350,2514600,0,0,1910,2007,0,SoHo-Cast Iron Historic District, ,5,0,5,6.5,1,1002320021,0,45,984092,201515,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,309.3375982,3517.079393,2333250,0,0,13396,13400,16,3600,14.35888863,16.83444405,2.47555542,14.51361084,0.599236557,232.2177734 +13398,MN,461,24,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,232 EAST 6 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,232 EQUITIES CORP,4850,22266,0,22266,0,0,0,0,0,0,2,1,6,31,31,50,97,50,89, ,3,Y,5,2,293400,1979550,14160,14160,1920,1986,0,East Village/Lower East Side Historic Di, ,4.59,4,0,4,1,1004610024,0,38,987209,204322,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,302.8847922,5087.358691,1686150,1,0,13397,13401,23,5175,36.55199814,36.55199814,0,36.55199814,0,840.6959572 +13399,MN,180,7501,101,39,4005,2,1,10013,E007,1,15,7700,3,1, ,71 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,OWNER / AGENT,2329,15421,4624,10797,0,4624,0,0,0,0,2,1,7,5,6,25,91,0,0, ,0,N,5,5,156949,963573,2360,2360,1915,0,0,Tribeca West Historic District, ,6.62,6.02,6,6.5,1,1001807501,162,39,981694,200954,12a, ,101S037,10105, ,1001800003,11/29/1984,1, , ,17V1.1,7,244.0918564,2352.504717,806624,14,0,13398,13402,11,2475,16.15699959,16.37433243,0.21733284,16.17675712,0.062478799,177.9443283 +13400,MN,771,65,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,250 WEST 22 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,250 EQUITIES CORP,4962,19470,0,19470,0,0,0,0,0,0,2,1,5,23,23,50.25,98.75,84,50, ,3,N,5,2,390150,2071800,0,0,1920,0,0, , ,3.92,4,0,4,1,1007710065,0,87,984780,210339,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,298.9678841,4910.470026,1681650,7,0,13399,13403,23,5175,21.99111176,24.76222229,2.771110535,22.22304883,0.651431825,511.1301231 +13401,MN,495,46,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,59 SPRING STREET,C6-2, , , , , ,LI, , , ,N,S5,4,0,P,THE TRASIMENO ASSOCIA,2547,6793,985,5808,0,985,0,0,0,0,2,2,1,5,6,25.25,106.17,25.25,42, ,3,N,5,5,94372,335717,0,0,1910,0,0, , ,2.67,6.02,6,6.5,1,1004950046,0,43,985138,202466,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,269.9236592,2911.823694,241345,0,0,13400,13404,13,2925,37.57110977,37.57110977,0,37.57110977,0,488.424427 +13402,MN,768,83,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,170 8 AVENUE,C1-6A,C6-2A, , , , , , , , ,Y,C7,4,0, ,"FAMILY OF LOUIS, LLC",2200,8040,1500,6540,0,1500,0,0,0,0,2,1,5,8,9,20,110,20,98, ,3,N,5,2,81784,413223,0,0,1910,0,0, , ,3.65,4,2,4,1,1007680083,0,87,984210,209765,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,264.0796827,2349.815574,331439,7,0,13401,13405,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +13403,MN,833,38,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,302 5 AVENUE,C5-2,C6-4, , , , , , , , ,Y,O6,5,0, ,302 FIFTH LLC,5402,75700,75700,0,68900,6800,0,0,0,0,2,1,14,0,18,29.33,125,29,125, ,3,Y,3,2,2372400,4960800,0,0,1915,1986,0, , ,14.01,10,10,10,1,1008330038,0,76,988066,211352,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,455.2098811,5794.990338,2588400,10,0,13402,13406,25,5625,41.76111221,41.76111221,0,41.76111221,0,1044.027805 +13404,MN,478,42,102,41,1003,2,1,10012,L006,5,15,6800,1,2,1F,150 BOWERY,C6-1G, , , , , ,LI, , , ,N,K1,5,0, ,344 BROOME STREET LL,4862,4862,4862,0,0,4862,0,0,0,0,2,1,1,0,1,60.08,101.08,60,101, ,3,Y,3,2,437400,2023650,0,0,1920,2010,2010, , ,1,3.44,6,6.5,1,1004780042,0,41,985740,201516,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,302.4766355,4947.082409,1586250,0,0,13403,13407,22,4950,35.62666702,35.62666702,0,35.62666702,0,783.7866745 +13405,MN,518,44,102,49,3000,2,3,10012,L020,1,15,6800,1,2,1A,193 PRINCE STREET,R7-2, , , , , , , , , ,N,S2,4,0, ,193 PRINCE ST. LLC,1950,5992,2692,3300,0,1346,0,0,0,1346,2,1,4,2,3,25,78,25,44, ,3,N,5,1,71330,162651,0,0,1899,0,0,Sullivan-Thompson Historic District, ,3.07,3.44,0,6.5,1,1005180044,0,49,983578,204044,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,213.0176444,2093.171319,91321,9,0,13404,13408,10,2250,20.52111053,22.5466671,2.025556564,21.03426628,0.798011662,210.3426628 +13406,MN,790,8,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,149 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,PR 149 WEST 14 LLC,2581,7650,2150,5500,0,2150,0,0,0,0,2,1,5,8,9,25,103.25,25,94,E,2,N,5,2,114011,567716,0,0,1920,0,0, , ,2.96,6.02,6,6.5,1,1007900008,0,81,984572,208338,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,261.5405142,2645.502618,453705,7,0,13405,13409,11,2475,27.73777771,27.73777771,0,27.73777771,0,305.1155548 +13407,MN,614,42,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,2K,247 WEST 11 STREET,R6, , , , , , , , , ,N,C7,4,0, ,WEST 11TH STREET LLC,2800,11790,1000,10790,1000,0,0,0,0,0,2,1,5,23,24,28,100,28,82, ,3,N,5,2,235350,1589850,0,0,1915,0,0,Greenwich Village Historic District, ,4.21,2.43,0,4.8,1,1006140042,0,77,983363,207585,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,260.5595874,2915.199243,1354500,8,0,13406,13410,13,2925,26.80333328,26.80333328,0,26.80333328,0,348.4433327 +13408,MN,521,7503,102,55.02,2010,2,1,10012,L009,9,15,5700,1,2, ,304 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,2040,10149,4003,6146,0,4003,0,0,0,0,2,1,6,5,6,23.17,88.83,23,88, ,0,Y,5,5,87436,842225,0,210888,1910,2003,0,Noho East Historic District, ,4.98,3.44,6,6.5,1,1005217503,1383,5502,986258,203341,12c, ,103 010,10206, ,1005210080,3/2/2005,1, , ,17V1.1,7,230.2579844,2141.31769,754789,9,0,13407,13411,9,2025,43.41222,43.41222,0,43.41222,0,390.70998 +13409,MN,303,6,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,151 CANAL STREET,C6-1G, , , , , , , , , ,N,S4,4,0, ,151 CANAL ST LLC,2533,11245,2249,8996,0,2249,0,0,0,0,2,1,5,4,5,33.08,109.25,28,109,E,3,Y,5,5,79449,690502,0,0,1910,0,0, , 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,17V1.1,0,235.0615358,1999.879791,152822,8,0,13410,13414,9,2025,24.13299942,30.26000023,6.127000809,26.01101218,2.667431167,234.0991097 +13412,MN,304,35,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,75 CHRYSTIE STREET,C6-1G, , , , , , , , , ,N,C7,4,0,P,"ZEMUND RLTY CORP,",5175,26965,4150,22814,0,4150,0,0,0,0,2,1,6,35,45,50.17,104.08,50,101, ,3,Y,3,2,450000,2186100,0,0,1910,1982,0, , ,5.21,3.44,6,6.5,1,1003040035,0,16,985723,200568,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,316.2926212,5497.313394,1736100,0,0,13411,13415,26,5850,35.79199982,35.92399979,0.131999969,35.90538436,0.044291997,933.5399933 +13413,MN,626,7,102,79,4004,2,3,10014,L005,6,15,6100,1,2,3B,64 HORATIO STREET,R6, , , , , , , , , ,N,B3,1,0, ,FRUIT FORWARD LLC,933,2160,0,1620,0,0,0,0,0,0,2,1,2,2,2,18.67,50,18.67,30,E,3,N,5,1,29030,130472,0,0,1899,0,0,Greenwich Village Historic District, ,2.32,2.43,0,4.8,1,1006260007,0,79,982512,208377,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,139.4217429,931.6903601,101442,8,0,13412,13416,6,1350,15.42222214,15.42222214,0,15.42222214,0,92.53333282 +13414,MN,620,13,102,73,1002,2,3,10014,L005,6,15,6400,1,2,2B,106 CHARLES STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,106 & 108 CHARLES LLC,2214,7680,0,7680,0,0,0,0,0,0,2,1,5,20,20,24,92.25,24,64, ,3,N,5,2,225000,1285200,0,775440,1920,0,0,Greenwich Village Historic District, ,3.47,3.44,2,6.5,1,1006200013,0,73,982698,206815,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,235.432578,2344.928882,1060200,9,0,13413,13417,11,2475,22.63400078,25.23333359,2.599332809,23.38064697,1.021482367,257.1871166 +13415,MN,143,1,101,39,4008,2,1,10013,E007,1,15,7700,1,1,3A,47 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0,P,DUANE PARK LOFTS INC,7834,77630,7700,69930,0,7700,0,0,0,0,2,1,10,42,45,78.5,100.5,79,101, ,2,Y,3,2,1350000,7944750,25960,25960,1930,1985,0,Tribeca West Historic District, ,9.91,6.02,6,6.5,1,1001430001,0,39,981656,200678,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,377.8690983,8731.007338,6594750,14,0,13414,13418,39,8775,12.18799973,14.21311092,2.025111198,12.57322517,0.298409263,490.3557816 +13416,MN,542,41,102,65,3001,2,1,10012,L009,6,15,5700,1,2,2A,5 MINETTA LANE,R7-2, , , ,C1-5, , , , , ,N,A9,1,0, ,"ZIMAN, JERROLD J",1911,3135,0,3135,0,0,0,0,0,0,2,1,4,1,1,19.08,47.33,19.25,33, ,3,Y,5,2,22066,103723,1550,1550,1900,0,0,South Village Historic District, ,1.64,3.44,0,6.5,1,1005420041,0,65,983966,205281,12c,Y,103 006,10207, ,0, ,1, , ,17V1.1,0,130.3543216,878.418571,81657,9,0,13415,13419,4,900,18.38111115,19.64333344,1.26222229,18.69666672,0.546558284,74.78666687 +13417,MN,237,28,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1F,123 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,MING SUN REALTY CORP,3131,12759,2100,10659,0,2100,0,0,0,0,2,1,6,25,28,49.92,62.67,49,49, ,3,Y,5,2,225000,1023300,0,0,1912,1987,0, , ,4.08,6.02,6,6.5,1,1002370028,0,41,985044,200928,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,228.7728869,3213.086118,798300,0,0,13416,13420,14,3150,31.40799904,31.43833351,0.030334473,31.41016579,0.007812321,439.742321 +13418,MN,691,15,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,527 WEST 19 STREET,C6-2,C6-3, , , , ,WCH, , , ,Y,K2,5,0,P,531 WEST 19TH LLC,9200,13800,13800,0,4600,9200,0,0,0,0,2,3,2,0,1,100,92,100,92, ,3,N,5,2,675000,4081050,0,0,1919,2006,1996, , ,1.5,6.02,6,6.5,1,1006910015,0,99,982241,211068,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,380.2522223,9016.003871,3406050,7,1,13417,13421,38,8550,6.974444389,6.974444389,0,6.974444389,0,265.0288868 +13419,MN,387,133,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,650 EAST 6 STREET,R7A,R8B, , ,C2-5, , , , , ,Y,S3,4,0,P,EAST VILLAGE LLC,1940,4140,800,3340,0,800,0,0,0,0,2,1,4,3,4,20,97,20,50, ,2,Y,5,5,37516,257427,0,0,1920,2000,2005, , ,2.13,4,0,4,1,1003870133,0,2601,989833,202867,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,239.9865909,1961.337658,219911,1,1,13418,13422,9,2025,8.204444885,10.09222221,1.887777328,8.445099089,0.5878422,76.0058918 +13420,MN,719,14,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,447 WEST 21 STREET,R7B, , , , , , , , , ,N,A9,1,0, ,"MURRIN, P. JOHN",1646,3328,0,3328,0,0,0,0,0,0,2,1,4,1,1,16.67,98.75,16.67,52, ,3,N,5,2,40131,145519,0,0,1920,1999,0,Chelsea Historic District, ,2.02,3,0,3,1,1007190014,0,89,983151,211127,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,241.8568397,1878.098607,105388,7,1,13419,13423,9,2025,9.307999611,14.28999996,4.982000351,10.56039482,1.893903025,95.04355335 +13421,MN,769,44,104,87,2000,2,3,10011,L012,10,15,5600,1,4,1A,208 WEST 20 STREET,R8B, , , , , , , , , ,N,D9,3,0, ,WESTWEN HOLDING CORP,2050,7630,0,7630,0,0,0,0,0,0,2,1,5,20,20,25,82.58,25,71, ,2,Y,5,2,79200,771300,0,0,1920,1987,0, , ,3.72,4,0,4,1,1007690044,0,87,984877,209722,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,224.2242696,2194.227422,692100,7,0,13420,13424,10,2250,21.88888931,28.3544445,6.465555191,22.94586697,2.178899244,229.4586697 +13422,MN,453,2,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,176 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,174 SECOND EQUITIESCP,2583,8518,3000,5518,1000,2000,0,0,0,0,2,1,5,8,10,25.83,100,26,85,E,3,N,5,2,122695,401589,0,0,1900,0,0, , ,3.3,4,0,4,1,1004530002,0,40,988145,205386,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,258.9797325,2603.368963,278894,12,0,13421,13425,11,2475,26.65699959,30.01333427,3.356334686,26.96212092,0.964878382,296.5833302 +13423,MN,227,76,102,37,3016,2,1,10013,L008,1,15,6800,1,2,1B,11 GRAND STREET,M1-6, , , , , ,HSQ, , , ,N,Q9,9,0, ,TRINITY CHURCH CORP,5203,0,0,0,0,0,0,0,0,0,7,1,0,0,0,90.25,91.5,0,0, ,0,Y,3,5,402300,402300,0,0,0,0,0, , ,0,0,10,10,1,1002270076,0,37,982687,202638,12a, ,101N042,10105,E-288,0, ,1,1,1,17V1.1,0,295.0073421,5067.012287,0,0,1,13422,13426,23,5175,9.686666489,9.873332977,0.186666489,9.694782423,0.038067106,222.9799957 +13424,MN,633,19,102,75,2003,2,3,10014,L005,6,15,6400,1,2,2K,316 WEST 11 STREET,R6, , , , , , , , , ,N,C5,2,0,P,AI R NEW YORK LLC,956,4020,1000,3020,0,1000,0,0,0,0,2,1,4,6,7,31.83,44.58,32,41, ,2,Y,3,2,92566,505099,0,0,1920,1983,0,Greenwich Village Historic District, ,4.21,2.43,0,4.8,1,1006330019,0,75,982314,207267,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,136.4786075,1029.331597,412533,9,0,13423,13427,5,1125,15.64700031,21.04333305,5.396332741,17.76731129,2.597543121,88.83655643 +13425,MN,720,78,104,93,7000,2,3,10011,E003,10,15,5200,1,4,2B,462 WEST 23 STREET,R7B, , , ,C2-5, , , , , ,N,A5,1,0, ,"NUMEROFF, SUSAN",2173,5808,0,5808,0,0,0,0,0,0,2,1,5,1,1,22,98.75,22,66, ,3,N,5,2,83923,587682,0,0,1900,1988,0,Chelsea Historic District Extension, ,2.67,3,0,3,1,1007200078,0,93,983179,211521,8b, ,105S005,10302, ,0, ,1, ,1,17V1.1,0,248.688651,2250.31057,503759,2,1,13424,13428,11,2475,9.369999886,9.800999641,0.430999756,9.412211938,0.123314614,103.5343313 +13426,MN,728,42,104,103,1009,2,3,10001,L021,10,15,5500,1,4,2A,406 WEST 31 STREET,C6-4, , , , , ,HY, , , ,N,H8,8,0,P,F I T STUDENT HOUSING,24050,324885,0,0,0,0,0,0,0,0,2,1,16,0,1,295,103.33,250,103.33, ,0,Y,5,5,7065000,23995800,7065000,23995800,1914,1983,2005, , ,13.51,10,10,10,1,1007280042,0,103,984574,213161,8d, ,105S017,10302,E-137,0, ,1, , ,17V1.1,0,793.2991592,25023.88241,16930800,6,0,13425,13429,111,24975,29.22555542,35.97222137,6.746665955,31.269896,0.830825819,3470.958456 +13427,MN,771,62,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,244 WEST 22 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,REVIVO REALTY CORP,2468,9620,0,9620,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,84, ,3,N,5,2,127800,1124550,0,0,1901,0,0, , ,3.9,4,0,4,1,1007710062,0,87,984857,210296,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,250.5969518,2474.002326,996750,7,0,13426,13430,11,2475,22.72999954,24.59000015,1.86000061,23.06333299,0.707198444,253.6966629 +13428,MN,772,45,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,214 7 AVENUE,R8A, , , ,C2-5, , , , , ,N,D9,3,0,P,216 REALTY ASSOCIATES,4937,22974,2000,20974,0,2000,0,0,0,0,2,2,6,40,44,49.33,100,25,88, ,3,N,5,2,481500,2817000,0,0,1890,1973,0, , ,4.65,6,0,6,1,1007720045,0,91,985285,210268,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,298.3901079,4899.37645,2335500,2,0,13427,13431,22,4950,22.16600037,22.35733414,0.191333771,22.17469736,0.039854613,487.8433418 +13429,MN,585,54,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,109 BEDFORD STREET,R6,C1-6, , , , , , , , ,Y,A4,1,0, ,THOMAS HESSE,689,1440,0,1440,0,0,0,0,0,0,2,1,3,1,1,12.75,56.83,12.75,40, ,3,Y,5,2,25126,103492,0,0,1901,0,0,Greenwich Village Historic District, ,2.09,2.43,0,4.8,1,1005850054,0,73,982621,206274,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,136.0015296,686.076828,78366,9,0,13428,13432,3,675,20.9109993,20.9109993,0,20.9109993,0,62.73299789 +13430,MN,611,41,102,73,6004,2,3,10014,Q018,6,15,6400,1,2,2B,181 WEST 10 STREET,C2-6, , , , , , , , , ,N,S5,4,0,P,181 WEST 10TH STREETL,1520,3492,1594,1898,0,1594,0,0,0,0,2,1,3,5,6,18.92,80.33,20,44,E,3,Y,3,5,107331,385165,0,0,1910,0,2009,Greenwich Village Historic District, ,2.3,3.44,2,6.5,1,1006110041,0,73,983522,206870,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,207.630851,1749.23208,277834,8,0,13429,13433,9,2025,24.01600075,25.71444511,1.698444366,24.52649434,0.73280542,220.7384491 +13431,MN,625,31,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,46 JANE STREET,C1-6, , , , , , , , , ,N,C3,2,0, ,STOLIAR FAMILY LIMITE,1535,4234,0,4234,0,0,0,0,0,0,2,1,3,4,4,22.58,79.42,23,54,E,3,Y,5,5,167841,281495,1350,2000,1905,1982,0,Greenwich Village Historic District, ,2.76,3.44,2,6.5,1,1006250031,0,77,982899,208140,8b, ,103 016,10210, ,0, ,1, , ,17V1.1,0,199.9664613,1723.151617,113654,8,0,13430,13434,9,2025,17.76333427,17.76333427,0,17.76333427,0,159.8700085 +13432,MN,483,29,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,54 CROSBY STREET,M1-5B, , , , , , , , , ,N,K2,5,0, ,CROSBY 54 LLC,2000,6000,6000,0,0,6000,0,0,0,0,2,1,2,0,1,20.08,100,20,80, ,3,N,5,2,270000,1259100,0,0,1900,1988,2010,SoHo-Cast Iron Historic District, ,3,0,5,6.5,1,1004830029,0,45,984606,202381,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,242.3150235,1932.421176,989100,0,0,13431,13435,9,2025,24.68222237,24.68222237,0,24.68222237,0,222.1400013 +13433,MN,884,48,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,402 3 AVENUE,C2-8, , , , , , , , , ,N,D6,4,0, ,EDWARD D. JAMIE REALT,9900,137628,5407,132221,0,5407,0,0,0,0,2,1,17,145,150,100,100,89,90, ,3,N,3,2,3483000,15746850,0,0,1974,0,0, , ,13.9,10,2,10,1,1008840048,0,72,989554,209801,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,410.6601015,10539.35901,12263900,11,0,13432,13436,46,10350,36.67777634,38.71888733,2.041110992,37.32568401,0.500132558,1716.981464 +13434,MN,830,53,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1A,14 WEST 29 STREET,M1-6, , , , , , , , , ,N,C7,4,0, ,LGF ENTERPRISES,1869,7679,2445,5234,0,2445,0,0,0,0,2,2,5,8,10,18.75,98.75,19,84,E,3,N,5,2,57516,1231200,0,0,1910,2011,0,Madison Square North Historic District, ,4.11,0,10,10,1,1008300053,0,76,987582,210897,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,240.853127,1875.278207,1173680,11,0,13433,13437,9,2025,43.21222305,43.53555679,0.32333374,43.24814902,0.101613991,389.2333412 +13435,MN,414,50,103,18,2003,2,1,10002,E015,7,14,7400,1,3,2B,77 DELANCEY STREET,C6-2A, , , , , , , , , ,N,D5,3,0, ,79 DELANCEY REALTY AS,3030,21200,6000,15200,3000,3000,0,0,0,0,2,1,7,18,21,39.83,76.08,40,76,E,3,N,3,2,206100,2769300,0,0,1914,2000,0, , ,7,6.02,6,6.5,1,1004140050,0,18,986958,201167,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,240.8998902,3240.174617,2563200,13,0,13434,13438,15,3375,37.14555359,38.66777802,1.522224426,37.29050242,0.371112931,559.3575363 +13436,MN,743,26,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,325 WEST 19 STREET,R7B, , , , , , , , , ,N,C0,2,0, ,EDWARDS SARAH,1894,3520,0,2640,0,0,0,0,0,0,2,1,3,3,3,20.58,92,20.58,44,E,3,N,5,1,46132,149825,0,0,1910,0,0, , ,1.86,3,0,3,1,1007430026,0,89,983927,210135,8b,Y,103 038,10303, ,0, ,1, , ,17V1.1,0,228.1323581,1932.670737,103693,7,0,13435,13439,9,2025,15.57888889,19.52000046,3.941111565,16.70653078,1.453030032,150.358777 +13437,MN,492,3,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,194 ELIZABETH STREET,C6-2, , , , , ,LI, , , ,N,K4,4,0,P,194 ELIZABETH PROPERT,2446,10607,5767,4840,2420,3347,0,0,0,0,2,1,4,3,5,25,97.83,25,97, ,3,N,5,2,165150,893250,0,0,1900,2004,0, , ,4.34,6.02,6,6.5,1,1004920003,0,43,985836,202213,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,251.9178441,2505.9745,728100,0,0,13436,13440,13,2925,39.76666641,42.54333496,2.776668549,39.9802563,0.739897077,519.7433319 +13438,MN,910,7,106,70,3001,2,2,10016,E016,13,14,5800,1,6,2A,205 EAST 29 STREET,R8B, , , , , , , , , ,N,C0,2,0, ,"FRIEDMAN, STEPHEN",1543,3272,0,2618,0,0,0,0,0,0,2,1,4,3,3,15.5,98.75,16,51, ,3,N,5,3,93728,186940,0,0,1936,2008,0, , ,2.12,4,0,4,1,1009100007,0,70,989862,209809,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,236.4357072,1679.192368,93212,10,0,13437,13441,6,1350,34.88199997,38.24666977,3.3646698,35.81618563,1.200500777,214.8971138 +13439,MN,306,35,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,107 HESTER STREET,C6-1G, , , , , , , , , ,N,C7,4,0, ,KAYTOY REALTY CORP,2125,10236,1900,8335,0,1900,0,0,0,0,2,1,6,17,20,42.58,50,42,50, ,3,N,3,2,144000,597600,0,0,1913,0,0, , ,4.82,3.44,6,6.5,1,1003060035,0,16,986215,200371,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,194.9669445,2360.59787,453600,13,0,13438,13442,10,2250,37.59777832,37.59777832,0,37.59777832,0,375.9777832 +13440,MN,280,33,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,55 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0,P,KHOWONG REALTY CORP,1875,5625,5625,0,0,1875,0,3750,0,0,2,1,3,0,3,25,75,25,75, ,0,N,5,5,127350,451800,0,0,1900,0,0, , ,3,3.44,6,6.5,1,1002800033,0,8,985511,199190,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,204.7480336,1900.921585,324450,16,0,13439,13443,11,2475,29.04899979,38.34000015,9.291000366,29.89363618,2.670974809,328.829998 +13441,MN,306,14,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,271 GRAND STREET,C6-1G, , , , , , , , , ,N,K4,4,0,P,271 GRAND STREET REAL,1250,6235,6235,0,4988,1247,0,0,0,0,2,1,4,0,2,20,62.42,20,62, ,2,Y,3,2,146250,719100,0,0,1900,1997,2003, , ,4.99,3.44,6,6.5,1,1003060014,0,16,986181,200758,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,174.0339156,1401.295338,572850,13,0,13440,13444,7,1575,37.59777832,38.71110916,1.113330841,37.86619077,0.434456203,265.0633354 +13442,MN,306,3,103,16,2001,2,1,10002,L006,5,14,7400,1,3,1A,66 FORSYTH STREET,C6-1G, , , , , , , , , ,N,M1,8,0,X,LA PENTECOSTAL CHURCH,1675,2817,2817,0,0,0,0,0,0,2817,2,1,2,0,1,25.33,67.08,25,54, ,3,Y,5,0,210600,372150,210600,372150,1910,0,0, , ,1.68,3.44,6,6.5,1,1003060003,0,16,986091,200462,12c, ,101N050,10107, ,0, ,1, , ,17V1.1,0,189.3508899,1741.108104,161550,13,0,13441,13445,8,1800,37.59777832,40.11999893,2.522220612,37.97105598,0.826302286,303.7684479 +13443,MN,355,57,103,30.01,3001,1,2,10002,L018,7,14,6600,1,3,2A,265 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,D3,3,0, ,"265 EAST HOUSON, LLC",2000,17069,2527,14542,0,0,0,0,0,2527,2,1,10,14,15,25,80,0,0, ,1,N,3,0,148050,2380050,0,0,2011,2008,0, , ,8.53,6,0,6,1,1003550057,0,3001,988426,202141,12c, ,102 004,10201,E-216,0, ,1, , ,17V1.1,0,222.9225453,2241.956053,2232000,1,0,13442,13446,10,2250,23.94333458,24.17000008,0.226665497,23.96600113,0.067999649,239.6600113 +13444,MN,8,7501,101,9,1014,2,1,10004,L015,1,15,7700, ,1, ,39 WHITEHALL STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,NEW YORK PLAZA RESIDE,9053,169061,42641,126420,0,42641,0,0,0,0,2,1,19,97,98,108,91.58,106,91, ,1,Y,0,5,3528000,16873650,0,9048276,1985,2007,2007, , ,18.67,10,15,15,1,1000087501,1822,9,980734,195375,12b, ,101S001,10101, ,1000080032,1/9/2008,1,1,1,17V1.1,7,415.0173404,10538.34033,13345700,17,1,13443,13447,47,10575,7.513000011,9.305555344,1.792555332,7.615952735,0.343544036,357.9497786 +13445,MN,450,32,103,38,7000,1,2,10003,L011,9,14,6500,1,3,4B,139 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,1ST & 5TH REALTY LLC,2350,8090,1618,6472,0,1618,0,0,0,0,2,1,5,9,10,23.5,100,24,50,E,3,N,5,2,61054,203299,0,0,1900,1987,0, , ,3.44,4,0,4,1,1004500032,0,38,988301,204526,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,255.5395835,2607.866206,142245,12,0,13444,13448,11,2475,25.4810009,27.00333214,1.522331238,25.68148561,0.461405645,282.4963417 +13446,MN,331,120,103,12,3003,1,1,10002,L018,7,14,7600,1,3,2B,530 GRAND STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,HILLMAN HOUSING CORP,129224,532006,1800,530206,0,0,0,0,0,1800,2,2,12,525,533,390.58,330.67,30,268, ,1,Y,3,2,6300000,26108100,1503585,1503585,1949,0,0, , ,4.12,3.44,0,6.5,1,1003310120,0,12,989641,199688,12d, ,101N082,10201, ,0, ,1, , ,17V1.1,0,1490.804865,137335.8688,19808100,13,0,13445,13449,609,137025,12.53222179,27.61666679,15.084445,17.87643044,3.394175526,10886.74614 +13447,MN,229,31,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,27 GREENE STREET,M1-5B, , , , , , , , , ,N,S4,4,0, ,27 GREENE ST ASSOC,2000,7246,1987,5259,0,1987,0,0,0,0,2,1,4,4,5,20,100,20,93,E,3,Y,5,5,237405,323394,0,0,1910,1982,0,SoHo-Cast Iron Historic District, ,3.62,0,5,6.5,1,1002290031,0,47,983480,202075,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,247.3435646,2159.518576,85989,0,1,13446,13450,9,2025,9.686666489,9.686666489,0,9.686666489,0,87.1799984 +13448,MN,189,7,101,33,3015,2,1,10013,E007,1,15,7700,1,1,3B,148 FRANKLIN STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,148 150 FRANKLIN ST C,3523,24000,0,24000,0,0,0,0,0,0,2,1,7,9,9,40.25,87.5,40,80, ,3,N,5,2,446763,894535,9850,9850,1915,0,0,Tribeca West Historic District, ,6.81,6.02,6,6.5,1,1001890007,0,33,982111,201375,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,265.6166937,3741.964541,447772,14,1,13447,13451,16,3600,10.17444515,10.17444515,0,10.17444515,0,162.7911224 +13449,MN,163,27,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,55 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,SANTO GROUP INC,2100,7959,2000,5959,0,2000,0,0,0,0,2,1,5,20,22,24.17,87.83,24,78, ,3,Y,5,2,153000,799650,0,0,1915,0,0, , ,3.79,3.44,6,6.5,1,1001630027,0,29,984863,199836,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,219.8171818,1987.883809,646650,14,0,13448,13452,8,1800,33.5909996,36.35789108,2.766891479,33.93686104,0.915063345,271.4948883 +13450,MN,883,68,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,111 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,S2,4,0, ,109-111 LEXINGTON AVE,1488,3888,1665,2223,1665,0,0,0,0,0,2,2,3,2,3,24.67,60,12.33,45, ,0,N,5,5,106580,165888,0,0,1910,1979,0, , ,2.61,6.02,6,6.5,1,1008830068,0,68,989123,209730,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,176.3844371,1585.971483,59308,11,0,13449,13453,7,1575,33.40789032,33.40789032,0,33.40789032,0,233.8552322 +13451,MN,634,11,102,75,2000,2,3,10014,L005,6,15,6400,1,2,3B,128 BANK STREET,R6,C1-6A, , , , , , , , ,Y,B3,1,0, ,"FISH, RICHARD",1694,1836,0,1836,0,0,0,0,0,0,2,1,3,2,2,17.83,95,17.83,36, ,3,N,5,2,24517,98535,0,0,1899,0,0,Greenwich Village Historic District, ,1.08,2.43,0,4.8,1,1006340011,0,75,982079,207444,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,226.1514255,1621.951755,74018,9,0,13450,13454,7,1575,13.33333302,18.10666656,4.77333355,14.56111077,1.9578973,101.9277754 +13452,MN,411,44,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,142 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C4,2,0,P,142 LUDIOW ST HSG ETC,2225,12950,0,12950,0,0,0,0,0,0,2,1,7,20,20,25,89,25,74, ,3,N,5,2,63000,652050,0,549000,1900,0,0, , ,5.82,4,4,4,1,1004110044,0,3001,987608,201770,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,231.9809267,2286.65495,589050,13,0,13451,13455,10,2250,30.50799942,34.34777832,3.8397789,30.9242218,1.145227576,309.242218 +13453,MN,476,53,102,47,2003,2,1,10013,L008,1,15,6800,1,2,1A,24 THOMPSON STREET,M1-5B, , , , , , , , , ,N,A4,1,0,P,SEIMOS LLC,988,4560,0,4560,0,0,0,0,0,0,2,1,5,1,1,19,52,19,48, ,3,N,5,5,19061,89181,0,0,2001,0,0, , ,4.62,0,5,6.5,1,1004760053,0,47,983101,202624,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,136.6988834,922.2136989,70120,0,1,13452,13456,3,675,9.686666489,9.686666489,0,9.686666489,0,29.05999947 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, , ,N,S4,4,0, ,395 WEST STREET LLC,1564,4887,700,4187,0,700,0,0,0,0,2,1,3,4,5,52.5,30,53,29, ,2,Y,3,5,82446,479144,0,0,1910,1988,2009,Weehawken Street Historic District, ,3.12,4,2,4,1,1006360007,0,75,981490,206340,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,175.8421844,1740.947944,396698,9,1,13455,13459,7,1575,7.726000309,7.739999771,0.013999462,7.728000232,0.004898791,54.09600163 +13457,MN,191,15,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3B,241 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,241-243 WEST BROADWAY,3391,18719,13019,5700,6237,6782,0,0,0,0,2,1,6,7,8,37.5,100,38,100,E,3,Y,5,2,213300,1831050,0,0,1915,2004,0, , ,5.52,6.02,6,6.5,1,1001910015,0,33,982686,201447,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,282.0098137,3468.108812,1617750,14,1,13456,13460,14,3150,9.970000267,10.29800034,0.328000069,10.27457176,0.084472933,143.8440046 +13458,MN,88,8,101,21,1011,2,1,10007,L010,1,15,7700,1,1, ,26 VESEY STREET,C5-3, , , , , ,LM, , , ,N,K2,5,0, ,CASTEGA REALTY ASSOCI,1830,3660,3660,0,0,3660,0,0,0,0,2,1,2,0,2,24.08,76,24,76, ,3,Y,5,2,175950,751050,0,0,1951,0,0, , ,2,10,15,15,1,1000880008,0,21,981559,198713,12b, ,101S019,10102, ,0, ,1, , ,17V1.1,0,206.6212611,1908.970209,575100,3,0,13457,13461,9,2025,27.47999954,27.47999954,0,27.47999954,0,247.3199959 +13459,MN,802,31,105,95,1003,2,3,10001,E001,13,15,5200,1,5,1H,109 WEST 26 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,109 W 26TH ST OWNER C,4905,53350,12125,41225,4850,7275,0,0,0,0,2,1,11,13,15,50,98.75,50,97,E,3,N,5,2,403650,5773050,7080,7080,1910,1988,0, , ,10.88,0,10,10,1,1008020031,0,95,986490,210793,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,306.8790233,5273.603052,5369400,2,0,13458,13462,23,5175,40.34000015,40.40999985,0.069999695,40.34304362,0.014275116,927.8900032 +13460,MN,619,7502,102,73,4001,2,3,10014,L005,6,15,6400,2,2, ,204 WEST 10 STREET,C1-6,R6, , , , , , , , ,Y,RM,4,0, , ,3761,10851,852,9999,0,852,0,0,0,0,2,1,6,29,31,40,95,0,0, ,0,N,5,5,373500,1888650,14160,14160,1900,0,0,Greenwich Village Historic District, ,2.89,3.44,2,6.5,1,1006197502,746,73,983146,206656,12a, ,103 017,10210, ,1006190059,12/29/1990,1, , ,17V1.1,7,276.3330709,3984.174006,1515150,9,0,13459,13463,18,4050,23.46111107,27.70555496,4.244443893,23.9376172,1.328292209,430.8771095 +13461,MN,740,11,104,83,1001,2,3,10011,L012,10,15,5600,1,4,1A,345 WEST 16 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,345 WEST 16TH STREET,2300,8590,0,8590,0,0,0,0,0,0,2,1,5,15,15,25,92,25,84, ,2,N,5,2,115650,766350,0,342003,1900,1987,0, , ,3.73,4,0,4,1,1007400011,0,83,983341,209621,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,238.2787664,2363.072694,650700,7,0,13460,13464,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +13462,MN,612,51,102,71,4002,2,3,10014,Q018,6,15,6100,1,2,2K,159 1/2 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,D7,4,0, ,MAJOR ASSOCIATES LLC,3862,17826,2971,14855,0,2971,0,0,0,0,2,1,6,21,27,99.92,95,96,46, ,3,Y,3,2,391050,1709550,0,0,1940,0,0,Greenwich Village Historic District, ,4.62,3.44,2,6.5,1,1006120051,0,71,983862,207273,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,279.9398842,3915.899035,1318500,8,0,13461,13465,17,3825,21.78555489,24.75111198,2.965557098,22.11999938,0.916881612,376.0399895 +13463,MN,229,20,102,47,2015,2,1,10013,E055,1,15,6800,1,2,1A,71 GRAND STREET,M1-5B, , , , , , , , , ,N,D4,3,0, ,GROOSTER COOPERATIVE,9302,42240,9302,32938,0,9302,0,0,0,0,2,3,5,13,18,40,145.5,40,75,E,0,Y,3,2,837000,4701600,2360,2360,1920,1983,0,SoHo-Cast Iron Historic District, ,4.54,0,5,6.5,1,1002290020,0,47,983410,202189,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,507.8718206,9905.739267,3864600,0,1,13462,13466,42,9450,9.686666489,9.686666489,0,9.686666489,0,406.8399925 +13464,MN,772,69,104,91,4000,2,3,10011,L012,10,15,5200,1,4,2A,244 WEST 23 STREET,C2-7A, , , , , , , , , ,N,D4,3,0,P,244 246 OWNERS CORP,3703,23882,3589,20293,0,3589,0,0,0,0,2,1,7,12,13,37.5,98.75,38,99, ,3,N,5,2,433800,2722500,12210,12210,1900,1982,0, , ,6.45,7.52,2,7.5,1,1007720069,0,91,984944,210543,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,287.373101,4166.440665,2288700,2,0,13463,13467,18,4050,22.16600037,25.03444481,2.868444443,22.32535839,0.657049968,401.856451 +13465,MN,410,4,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,130 ORCHARD STREET,C4-4A, , , , , , , , , ,N,D5,3,0, ,DS 130 ORCHARD LLC,6510,27247,4540,22707,0,4540,0,0,0,0,2,1,6,18,22,66.67,88,67,78, ,3,N,5,2,1057500,3675600,0,0,1920,1999,2008, , ,4.19,4,4,4,1,1004100004,0,18,987236,201437,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,318.9176925,6215.18768,2618100,13,0,13464,13468,27,6075,33.47900009,34.342556,0.863555908,33.51098364,0.163084757,904.7965584 +13466,MN,579,30,102,37,3007,2,3,10013,L008,1,15,6800,1,2,1B,131 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,E7,6,0,P,EDISON SPRING STREETC,25460,281387,281387,0,45517,0,0,235870,0,0,2,1,11,0,19,175,150,175,225, ,1,Y,3,2,1593000,16582500,0,0,1924,1995,0, , ,11.05,0,10,10,1,1005790030,0,37,982511,203556,12a, ,101N065,10208, ,1005790030,10/20/2006,1, , ,17V1.1,0,658.1266567,26052.84667,14989500,0,0,13465,13469,115,25875,18.47800064,19.90333366,1.425333023,18.51209533,0.173591533,2128.890963 +13467,MN,859,81,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,8 EAST 30 STREET,C5-2, , , , , , , , , ,N,K4,4,0, ,"GOLDSTEIN, SAMUEL DEC",3950,16260,7620,8640,3880,3740,0,0,0,0,2,2,5,12,16,40,98.75,40,99,E,3,N,5,2,309600,2216250,0,0,1925,0,0, , ,4.12,10,10,10,1,1008590081,0,74,988162,210867,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,283.8696556,4000.823575,1906650,10,0,13466,13470,17,3825,39.7211113,40.70700073,0.985889435,40.64098762,0.232186964,690.8967896 +13468,MN,141,28,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,172 DUANE STREET,C6-2A, , , , , ,TMU, , , ,N,O2,5,0,P,172 DUANE STREET REAL,3181,7830,7830,0,7830,0,0,0,0,0,2,1,2,0,2,25,127.25,25,127, ,3,N,5,2,247500,946800,0,0,1871,1995,0,Tribeca West Historic District, ,2.46,6.02,6,6.5,1,1001410028,0,39,981551,200464,12a, ,101S016,10104, ,0, ,1, , 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,17V1.1,0,245.1730361,2438.641224,96816,12,1,13473,13477,10,2250,12.53199959,13.58888912,1.056889534,12.6759552,0.324994926,126.759552 +13475,MN,791,62,104,81,3000,2,3,10011,L012,13,15,5600,1,4,1A,130 WEST 16 STREET,R8A, , , , , , , , , ,N,D4,3,0, ,130 W 16 OWNERS INC,7744,32384,0,32384,0,0,0,0,0,0,2,1,6,42,42,75,103.25,75,90, ,3,N,5,2,607500,2683800,53031,53031,1927,1979,0, , ,4.18,6,0,6,1,1007910062,0,81,984950,208554,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,365.4180822,8120.456918,2076300,7,0,13474,13478,36,8100,27.87888908,30.96666718,3.087778091,28.04753107,0.695437681,1009.711119 +13476,MN,193,6,101,33,1002,2,1,10013,L001,1,15,7700,1,1,3B,54 WHITE STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,WHITE STREET LOFT COR,4933,21600,4200,17400,0,4200,0,0,0,0,2,1,5,4,5,46.83,111.33,47,96,E,3,Y,5,2,335404,1393742,2360,2360,1915,1980,0,Tribeca East Historic District, ,4.38,6.02,6,6.5,1,1001930006,0,33,983222,201073,12a, ,101N046,10105, ,0, ,1, , ,17V1.1,0,316.3677544,5014.223397,1058340,14,0,13475,13479,23,5175,13.68111134,13.68111134,0,13.68111134,0,314.6655607 +13477,MN,310,7502,103,16,4000,2,1,10002,E015,7,14,7400,2,3, ,345 GRAND STREET,C6-2, , , , , , , , , ,N,RM,4,0, , ,3441,14465,2950,10476,0,2950,0,0,0,0,2,1,6,6,8,45.88,75,0,0, ,0,N,5,5,126086,894734,31375,111685,1910,0,0, , ,4.2,6.02,6,6.5,1,1003107502,1297,16,987093,200388,12c, ,11W 051,10107, ,1003100015,8/29/2003,1, , ,17V1.1,7,245.6144182,3486.239214,768648,13,0,13476,13480,16,3600,34.98799896,37.59777832,2.609779358,35.30081868,0.828510891,564.8130989 +13478,MN,470,28,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,214 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,S9,4,0, ,CHUNG LEE REALTY CORP,1605,5200,2600,2600,1300,1300,0,0,0,0,2,1,4,4,6,30,51,30,48,E,3,Y,5,2,25016,269816,0,0,1900,1989,0, , ,3.24,6.02,6,6.5,1,1004700028,0,41,985366,201245,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,173.558538,1748.0041,244800,0,0,13477,13481,8,1800,28.80888939,28.80888939,0,28.80888939,0,230.4711151 +13479,MN,717,45,104,89,3000,2,3,10011,E003,10,15,5600,1,4,1B,402 WEST 20 STREET,R7B, , , ,C2-5, , , , , ,N,C2,2,0, ,"OCTOBER PARTNERS, LLC",1971,6545,0,6545,0,0,0,0,0,0,2,1,5,5,5,25,78.83,24,64, ,2,N,5,5,156672,262663,0,0,1910,0,0,Chelsea Historic District, ,3.32,3,0,3,1,1007170045,0,89,983350,210570,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,217.117408,2114.146426,105991,7,1,13478,13482,10,2250,9.621110916,14.75777721,5.136666298,10.45879974,1.728211602,104.5879974 +13480,MN,527,49,102,67,2004,2,3,10014,E024,6,15,6400,1,2,1B,174 WEST HOUSTON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,TOCKWOTTEN ASSOCIATES,2512,11900,900,11000,0,900,0,0,0,0,2,1,6,25,26,26,100,26,90, ,3,Y,5,2,177300,1026000,0,0,1900,1986,0,Greenwich Village Historic District Exte, ,4.74,3.44,0,6.5,1,1005270049,0,67,983440,204787,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,252.6496432,2621.535117,848700,9,0,13479,13483,12,2700,15.38333321,20.35555649,4.972223282,16.0625,1.562211801,192.75 +13481,MN,153,24,101,31,1020,2,1,10007,E006,5,15,7700,1,1,3B,23 CHAMBERS STREET,C6-4, , , , , , , , , ,N,O3,5,0,C,DCAS,29511,229824,229824,0,229824,0,0,0,0,0,2,1,8.5,0,46,189.58,152.17,185,150, ,1,Y,1,2,4284000,31872600,4284000,31872600,1910,0,0,African Burial Ground & The Commons Hist,SURROGATE'S COURT (HALL OF RECORDS),7.79,10,10,10,1,1001530024,0,31,983074,199258,12b, ,1000000,10105, ,0, ,1, , ,17V1.1,0,708.0342166,31027.19258,27588600,14,0,13480,13484,138,31050,26.98444366,28.51000023,1.525556564,28.42000073,0.172134905,3921.9601 +13482,MN,447,33,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,87 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,DINA A. CHIARELLI,2425,11158,2200,8958,0,2200,0,0,0,0,2,1,5,16,17,24.25,100,24,100, ,2,N,5,2,163800,744750,0,0,1920,0,0, , ,4.6,4,0,4,1,1004470033,0,38,987915,203831,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,252.5393317,2515.0244,580950,1,0,13481,13485,13,2925,26.0177784,27.70888901,1.691110611,26.18666693,0.455182352,340.4266701 +13483,MN,568,19,102,61,1003,2,2,10003,E033,6,15,5700,1,2,3A,72 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,C7,4,0,P,72 MANHATTAN REALTY L,2122,6374,1074,5300,0,1074,0,0,0,0,2,1,5,8,9,23,93.17,23,48,E,3,Y,5,0,422907,831784,0,0,1900,0,0, , ,3,6.02,2,6.5,1,1005680019,0,61,985993,206426,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,240.6919934,2331.50945,408877,8,0,13482,13486,10,2250,30.95599937,30.95599937,0,30.95599937,0,309.5599937 +13484,MN,401,17,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,514 EAST 6 STREET,R7B, , , , , , , , , ,N,C7,4,0,P,"514 E. 6TH STREET, LL",4844,17836,3414,14422,0,3414,0,0,0,0,2,2,7,31,35,24.92,97,49,54, ,3,N,5,2,218250,1562850,0,0,1910,1989,0, , ,3.68,3,0,3,1,1004010017,0,32,988913,203376,12c, ,102 021,10203, ,1004010017,2/14/2013,1, , ,17V1.1,0,296.6656878,4927.05417,1344600,1,0,13483,13487,21,4725,14.20666695,15.91888905,1.712222099,14.58301608,0.566448243,306.2433376 +13485,MN,831,4,105,76,2002,2,3,10001,E001,14,15,5200,1,5,1A,842 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,O5,5,0,P,842 ENTERPRISE INC,7718,39348,39348,0,32790,6558,0,0,0,0,2,1,6,0,42,55.25,100,55.25,100, ,0,Y,5,2,1440000,3742200,0,0,1925,1989,0, , ,5.1,10,10,10,1,1008310004,0,76,987168,211373,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,386.379913,7700.878973,2302200,6,0,13484,13488,34,7650,41.16799927,42.68444443,1.51644516,41.24907774,0.326039171,1402.468643 +13486,MN,889,50,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,160 EAST 34 STREET,C1-9, , , , , , , , , ,N,I5,8,0,P,NYU HOSPITALS CENTER,11138,157539,157539,0,157539,0,0,0,0,0,2,1,12,0,1,115.42,98.75,115,98, ,3,Y,5,2,1588500,21039300,1588500,21039300,2003,0,0, , ,14.14,10,2,10,1,1008890050,0,72,990118,210964,8d, ,104 020,10307, ,1008890050,3/8/2017,1, , ,17V1.1,0,457.6503659,12165.80956,19450800,10,0,13485,13489,54,12150,24.63888931,33.85666656,9.217777252,25.51109084,2.48737667,1377.598906 +13487,MN,798,41,104,91,1004,2,3,10010,L012,13,15,5200,1,4,2A,695 AVENUE OF THE AMER,C6-2A,C6-3A,C6-3X, , , , , , , ,Y,K4,4,0,P,CUDGE REALTY LLC,29021,170000,170000,0,29000,141000,0,0,0,0,2,1,5,0,7,170.75,208.33,170.75,208.33, ,0,Y,3,5,6570000,16098300,0,0,1910,0,0,Ladies' Mile Historic District, ,5.86,6.02,6,6.5,1,1007980041,0,91,986040,209863,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,828.7809042,35483.51024,9528300,2,0,13486,13490,157,35325,28.16444397,33.56666565,5.40222168,28.2942458,0.803867943,4442.19659 +13488,MN,588,40,102,73,3003,2,3,10014,E024,6,15,6400,1,2,2B,54 BARROW STREET,R6, , , , , , , , , ,N,C5,2,0, ,54 BARROW STREET ASSO,2350,9320,0,9320,0,0,0,0,0,0,2,1,5,20,20,25.5,98.33,26,77, ,3,N,5,2,214200,2078100,0,0,1910,0,0,Greenwich Village Historic District, ,3.97,2.43,0,4.8,1,1005880040,0,73,982897,206004,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,243.9470056,2276.277519,1863900,9,0,13487,13491,9,2025,18.94666672,18.94666672,0,18.94666672,0,170.5200005 +13489,MN,481,32,102,41,6002,2,1,10012,E055,5,15,6800,1,2,1F,86 KENMARE STREET,C6-1, , , , , ,LI, , , ,N,C7,4,1, ,MAHROKH ESHAGHIAN KEN,4250,21463,1430,20033,0,1430,0,0,0,0,2,1,6,30,32,100,100.17,35,90,E,3,Y,3,2,128700,3286800,0,0,1900,2015,0, , ,5.05,3.44,6,6.5,1,1004810032,0,41,985113,201992,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,299.9224556,4744.913996,3158100,0,0,13488,13492,21,4725,31.92555428,36.11666489,4.191110611,32.69502549,1.41529117,686.5955353 +13490,MN,426,28,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,199 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,E1,6,0,P,SAGAMORE AK PROPERTY,2500,7700,7700,0,0,2500,0,5200,0,0,2,1,3,2,3,25,100,25,100, ,3,N,5,2,140850,455400,0,0,1920,2013,0, , ,3.08,7.52,6,7.5,1,1004260028,0,3601,986436,202396,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,259.4465925,2758.352942,314550,13,0,13489,13493,12,2700,41.51444626,42.48466492,0.970218658,41.59529781,0.268154271,499.1435738 +13491,MN,461,29,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,99 2 AVENUE,R7A,R8B, , ,C2-5, , , , , ,Y,S5,4,0,P,"99 SECOND REALTY, L.L",2456,8379,1676,6703,0,1676,0,0,0,0,2,1,5,6,7,24.25,105,24,105, ,3,Y,5,2,204571,681673,0,0,1910,1988,0,East Village/Lower East Side Historic Di, ,3.41,4,0,4,1,1004610029,0,38,987306,204280,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,274.5684727,2897.621994,477102,1,0,13490,13494,12,2700,36.55199814,36.55199814,0,36.55199814,0,438.6239777 +13492,MN,574,34,102,63,2001,2,3,10011,E033,6,15,5700,1,2,3A,20 WEST 11 STREET,R6, , , , , , , , , ,N,B1,1,0, ,20 WEST 11TH STREET O,2029,3948,0,3948,0,0,0,0,0,0,2,1,4,2,2,21.42,94.75,21.42,46.79,E,3,N,5,2,82945,396604,0,0,1800,1982,2009,Greenwich Village Historic District, ,1.95,2.43,0,4.8,1,1005740034,0,63,985343,206773,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,236.1803024,2054.069691,313659,8,0,13491,13495,9,2025,24.13299942,29.63999939,5.506999969,25.87817234,2.471791818,232.9035511 +13493,MN,191,13,101,33,2003,2,1,10013,E007,1,15,7700,1,1,3B,2 WHITE STREET,C6-2A, , , , , ,TMU, , , ,N,S1,4,0, ,237 WEST BROADWAY COM,1000,1660,830,830,0,830,0,0,0,0,2,1,2,1,2,20,50,20,50, ,0,N,3,5,23996,67501,0,0,1915,0,0,Tribeca East Historic District,2 WHITE STREET HOUSE,1.66,6.02,6,6.5,1,1001910013,0,33,982618,201406,12a, ,101N045,10105, ,0, ,1, ,1,17V1.1,0,146.0026607,1091.992419,43505,14,1,13492,13496,4,900,9.964221954,10.29800034,0.333778381,10.21455574,0.144530279,40.85822296 +13494,MN,136,10,101,21,1001,2,1,10007,L010,1,15,7700,1,1,1A,122 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C6,2,0, ,52 WARREN STREET OWNE,4394,20960,4192,16768,0,4192,0,0,0,0,2,1,5,8,9,25.08,176,25,176, ,3,N,4,2,591324,1481500,0,0,1920,1981,2006,Tribeca South Historic District Extensio,"SWIFT, SEAMAN & CO. BUILDING",4.77,7.52,6,7.5,1,1001360010,0,21,981786,199759,12b, ,101S017,10104, ,0, ,1, , ,17V1.1,0,410.4472803,4397.439838,890176,3,0,13493,13497,19,4275,25.24200058,25.24200058,0,25.24200058,0,479.598011 +13495,MN,850,12,105,56,3000,2,2,10010,E014,13,15,5700,1,5,1O,928 BROADWAY,M1-5M, , , , , , , , , ,N,O6,5,0, ,GRUNBERG 928 LLC,6575,76389,76389,0,70389,6000,0,0,0,0,2,1,12,0,42,40.17,143.92,39,141, ,3,Y,5,2,2700000,10609650,0,0,1909,1979,0,Ladies' Mile Historic District, ,11.62,0,5,6.5,1,1008500012,0,56,987260,208886,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,486.6075719,6693.763441,7909650,7,0,13494,13498,32,7200,35.59999847,41.79666519,6.196666718,38.29288113,2.363778364,1225.372196 +13496,MN,529,31,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,45 BOND STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,ROSH SABABA INC,2150,10867,10867,0,8992,1875,0,0,0,0,2,1,6,0,1,25,89.58,25,75, ,3,Y,5,0,84150,1819350,0,0,1899,2000,2008,NoHo Historic District Extension, ,5.05,0,5,6.5,1,1005290031,0,5502,986170,203727,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,233.2233237,2303.532704,1735200,9,0,13495,13499,10,2250,41.23199844,41.23199844,0,41.23199844,0,412.3199844 +13497,MN,467,25,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,232 EAST 12 STREET,R8B, , , , , , , , , ,N,D6,4,0,P,"CAPRI APARTMENTS,",8307,65602,2800,62802,2800,0,0,0,0,0,2,1,10,68,69,78.25,106.5,78,106, ,2,Y,5,2,1399500,6008850,0,0,1929,1985,0, , ,7.9,4,0,4,1,1004670025,0,40,987934,205635,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,385.8740788,8510.482549,4609350,12,0,13496,13500,37,8325,28.52666664,30.70999908,2.183332443,28.64577773,0.478587469,1059.893776 +13498,MN,796,7503,104,87,1001,2,3,10011,L012,13,15,5600,1,4, ,129 WEST 20 STREET,C6-3A, , , , , , , , , ,N,RM,4,0, , ,6240,29838,4370,25468,0,4370,0,0,0,0,2,1,7,15,16,67.83,92,0,0, ,0,N,0,5,608399,5277150,2360,2360,1905,0,0, , ,4.78,7.52,6,7.5,1,1007967503,1116,87,985530,209525,8d, ,103 030,10305, ,1007960019,4/11/2000,1, , ,17V1.1,7,324.2084115,6387.831887,4668750,7,0,13497,13501,28,6300,28.3488884,28.3488884,0,28.3488884,0,793.7688751 +13499,MN,722,6,104,93,5000,2,3,10011,E003,10,15,5200,1,4,2B,459 WEST 24 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,"MAPA FORT GREENE, LLC",2057,2890,0,2890,0,0,0,0,0,0,2,1,3,4,4,20.83,98.75,21,54,E,3,N,5,5,137056,208516,0,0,1910,1987,0, ,459 WEST 24TH STREET HOUSE,1.4,3,0,3,1,1007220006,0,93,983406,211912,8b, ,105S005,10302, ,0, ,1, , ,17V1.1,0,248.409223,2207.968096,71460,2,1,13498,13502,11,2475,10.68099976,11.3255558,0.644556046,10.77465638,0.206200302,118.5212202 +13500,MN,459,39,103,38,3001,1,2,10003,E028,9,14,6500,1,3,3B,21 EAST 3 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQUARE MUTUAL,2404,11700,1000,10700,0,1000,0,0,0,0,2,1,6,16,17,25,96.17,25,78, ,2,N,5,2,150300,700200,138276,644184,1920,1993,0,East Village/Lower East Side Historic Di, ,4.87,4,0,4,1,1004590039,0,38,986887,203807,12c, ,102 009,10205, ,1004590014,1/3/1995,1, , ,17V1.1,0,248.2935318,2460.072514,549900,1,0,13499,13503,11,2475,35.86666489,39.9422226,4.075557709,36.23717013,1.171640463,398.6088715 +13501,MN,259,71,103,2.02,2000,1,1,10002,E015,7,14,8000,1,3,1B,35 MONTGOMERY STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,GOUVERNEUR GARDEN HOU,58820,287175,0,287175,0,0,0,0,0,0,2,1,21,145,145,251.67,235.83,214,140, ,0,N,5,2,2169000,12914550,2169000,12914550,1964,0,0, , ,4.88,3.44,0,6.5,1,1002590071,0,202,988578,198932,12d, ,101N057,10106, ,0, ,1, , ,17V1.1,0,968.4751212,58462.945,10745600,13,0,13500,13504,258,58050,24.76000023,31.39666557,6.636665344,28.4558139,1.444584548,7341.599987 +13502,MN,876,12,106,50,1002,2,2,10003,E014,13,14,5300,1,6,1B,3 GRAMERCY PARK WEST,R7B,C6-4A, , , , , , , ,LH-1,Y,C5,2,0, ,3 GRAMERCY PARK WEST,2888,7415,0,7415,0,0,0,0,0,0,2,1,4,9,9,26.25,110,26,93,E,3,N,5,1,184456,660615,0,0,1920,0,0,Gramercy Park Historic District, ,2.57,3,0,3,1,1008760012,0,50,987895,208301,8d, ,102 045,10307, ,0, ,1, , ,17V1.1,0,275.0570413,2832.865942,476159,5,0,13501,13505,13,2925,31.73777771,33.25666809,1.518890381,31.90222227,0.424128541,414.7288895 +13503,MN,496,10,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1A,97 CROSBY STREET,M1-5B, , , , , , , , , ,N,D0,3,0, ,97 CROSBY ST TENANTS,1712,10140,0,10140,0,0,0,0,0,0,2,1,7,6,7,25.17,68,25,56, ,2,N,5,2,120978,579291,2360,2360,1910,0,0,SoHo-Cast Iron Historic District Extensi, ,5.92,0,5,6.5,1,1004960010,0,43,985063,202850,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,195.8296053,1897.767261,458313,0,0,13502,13506,9,2025,36.29444504,39.40444565,3.11000061,37.18538157,1.106395902,334.6684341 +13504,MN,141,18,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,321A GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,A4,1,0,P,READE & GREENWICH EQU,2104,7077,0,7077,0,0,0,0,0,0,2,1,5,1,1,21,100,21,100, ,3,Y,5,2,234711,330580,0,0,1915,2005,0,Tribeca West Historic District, ,3.36,6.02,6,6.5,1,1001410018,0,39,981366,200562,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,247.3002204,2084.464169,95869,14,0,13503,13507,11,2475,16.8029995,16.8029995,0,16.8029995,0,184.8329945 +13505,MN,585,24,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,95 BEDFORD STREET,R6, , , , , , , , , ,N,S5,4,0, ,BEDFORD STREET PROPER,2400,9232,1550,7682,0,1250,300,0,0,0,2,1,4,5,6,25,98.5,25,98, ,2,Y,5,5,133196,456024,0,0,1915,1967,0,Greenwich Village Historic District, ,3.85,2.43,0,4.8,1,1005850024,0,73,982716,206008,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,242.7527548,2388.569046,322828,9,0,13504,13508,10,2250,18.5988884,21.59000015,2.991111755,19.12344418,0.937959246,191.2344418 +13506,MN,482,24,102,45,1001,2,1,10012,E055,5,15,6800,1,2,1F,224 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,224 LAFAYETTE ST CORP,1233,6510,435,6075,0,435,0,0,0,0,2,1,6,9,10,24.5,50.33,24.5,46, ,3,N,5,0,37841,310420,0,0,1900,2014,0, , ,5.28,0,5,6.5,1,1004820024,0,45,984926,202369,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,159.2066683,1353.080161,272579,0,0,13505,13509,6,1350,30.94300079,30.94300079,0,30.94300079,0,185.6580048 +13507,MN,753,4,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,338 9 AVENUE,C6-2A, , , , , , , , , ,N,S4,4,0, ,"338 NINTH AVE., LLC",1377,3300,800,2500,0,800,0,0,0,0,2,1,4,4,5,19.67,70,20,37, ,3,N,5,5,136035,314712,0,0,1920,1999,0, , ,2.4,6.02,6,6.5,1,1007530004,0,97,984760,212660,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,191.4781193,1509.164338,178677,6,0,13506,13510,6,1350,28.20800018,33.59444427,5.386444092,29.10574087,2.007409191,174.6344452 +13508,MN,201,8,103,29,3001,2,1,10013,E009,5,15,7700,1,3,1A,70 MOTT STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,PJ & L REALTY LLC,2356,9591,1700,7891,0,1700,0,0,0,0,2,1,5,16,17,25,94,25,72, ,3,N,5,2,102600,664200,0,0,1910,0,0, , ,4.07,3.44,6,6.5,1,1002010008,0,29,984842,200209,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,238.0702707,2330.289715,561600,14,0,13507,13511,11,2475,33.0379982,33.0379982,0,33.0379982,0,363.4179802 +13509,MN,606,7501,102,71,3001,2,3,10011,Q018,6,15,6100,2,2, ,160 WEST 11 STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,1164,6036,2251,3785,0,2251,0,0,0,0,2,1,4,3,6,45,117,0,0, ,0,Y,5,5,278058,809965,4720,4720,1920,1982,0,Greenwich Village Historic District, ,5.19,3.44,2,6.5,1,1006067501,108,71,984041,207533,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,7,189.6786239,1576.090096,531907,8,0,13508,13512,7,1575,22.88899994,24.9031105,2.014110565,23.17673002,0.704791881,162.2371101 +13510,MN,595,40,101,39,1003,2,1,10013,L008,1,15,7700,1,1, ,502 CANAL STREET,C6-2A, , , , , ,TMU, , , ,N,C4,2,0,P,PONTE EQUITIES INC.,1485,3791,1485,2306,0,1485,0,0,0,0,2,2,3,6,8,23.83,56,18,47, ,2,Y,3,0,52124,187664,0,0,1910,2012,0, ,480 GREENWICH STREET HOUSE / 502 CA,2.55,6.02,6,6.5,1,1005950040,0,39,981607,203260,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,181.935271,1672.919706,135540,0,1,13509,13513,9,2025,7.909999847,7.909999847,0,7.909999847,0,71.18999863 +13511,MN,163,2,103,29,3002,2,1,10013,E009,5,15,7700,1,3,1A,12 PELL STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,EASTERN PELL REALTYCO,3935,22270,6358,15912,2380,3978,0,0,0,0,2,1,5,24,28,50.67,82.25,51,78, ,3,Y,5,2,272700,926100,0,0,1915,1986,0, , ,5.66,3.44,6,6.5,1,1001630002,0,29,984885,199735,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,264.6984709,4068.412981,653400,14,0,13510,13514,19,4275,33.5909996,33.5909996,0,33.5909996,0,638.2289925 +13512,MN,923,43,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,340 EAST 18 STREET,R7B, , , , , , , , , ,N,C1,2,0, ,M & E 336-348 E. 18TH,4600,18240,0,18240,0,0,0,0,0,0,2,1,6,24,24,50,92,50,78, ,3,N,5,2,227250,3213900,0,0,1910,1987,0, , ,3.97,3,0,3,1,1009230043,0,48,989368,206672,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,286.6745151,4664.229295,2986650,5,0,13511,13515,20,4500,14.83555603,16.33666801,1.501111984,14.91061163,0.327159772,298.2122326 +13513,MN,180,7509,101,39,4005,2,1,10013,E007,1,15,7700,3,1, ,77 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, ,77 HUDSON STREET COND,2008,9994,1593,8401,0,0,0,0,0,1593,2,1,6,5,6,0.04,0,0,0, ,0,N,0,5,38918,420602,4720,4720,1910,0,0,Tribeca West Historic District, ,4.98,6.02,6,6.5,1,1001807509,998,39,981728,201035,12a, ,11S 037,10105, ,1001800006,3/31/1998,1, , ,17V1.1,7,187.7503676,2159.087524,381684,14,0,13512,13516,7,1575,16.15699959,16.15699959,0,16.15699959,0,113.0989971 +13514,MN,644,56,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,3 9 AVENUE,M1-5, , , , , , , , , ,N,K4,4,0, ,LITTLE WEST 12TH STRE,2442,4600,4600,0,1200,3400,0,0,0,0,2,2,3,2,3,11.75,54.92,11.75,60, ,3,Y,8,2,838350,1182150,0,0,1899,2008,0,Gansevoort Market Historic District, ,1.88,0,5,6.5,1,1006440056,0,79,982379,208709,8b, ,103 039,10210, ,0, ,1, , ,17V1.1,0,185.5019685,1860.584305,343800,8,0,13513,13517,6,1350,15.25,16.52444458,1.27444458,15.47351853,0.470618427,92.84111118 +13515,MN,824,39,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,178 5 AVENUE,C6-4M, , , , , , , , , ,N,C7,4,0,P,LOWER FIFTH REEAKTYCO,3710,15500,3500,12000,0,3500,0,0,0,0,2,1,4.5,13,15,28.25,100,37,95,E,3,N,5,2,308700,3724200,0,0,1905,0,0,Ladies' Mile Historic District, ,4.18,10,10,10,1,1008240039,0,58,986971,209346,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,285.5774178,3939.257559,3415500,2,0,13514,13518,17,3825,34.46500015,34.46500015,0,34.46500015,0,585.9050026 +13516,MN,503,12,102,49,2001,2,3,10012,L020,1,15,6800,1,2,1A,119 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,SULLIVAN PROPERTIESLP,2492,10170,815,9355,0,815,0,0,0,0,2,1,5,20,21,24.92,100,25,87, ,3,N,5,2,262800,1879200,0,689472,1900,2016,0,Sullivan-Thompson Historic District, ,4.08,3.44,0,6.5,1,1005030012,0,49,983585,203800,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,253.4807731,2486.36401,1616400,0,0,13515,13519,11,2475,15.37666702,17.10377693,1.727109909,15.53367701,0.496509189,170.8704472 +13517,MN,384,17,103,22.02,1002,1,2,10009,L018,9,14,7600,1,3,3A,225 EAST 2 STREET,R8A, , , , , , , , , ,N,C4,2,0, ,"ESPACEA, LLC",2145,6670,0,6670,0,0,0,0,0,0,2,1,5,10,10,24.75,86.67,25,52, ,3,Y,5,2,22861,101649,0,0,1900,0,0, , ,3.11,6,0,6,1,1003840017,0,2202,989051,202127,12c, ,102 005,10203, ,0, ,1, , ,17V1.1,0,228.9508142,2197.121079,78788,1,0,13516,13520,11,2475,18.08333397,19.0288887,0.945554733,18.28828343,0.302777258,201.1711178 +13518,MN,588,77,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,25 GROVE STREET,R6, , , , , , , , , ,N,C4,2,0, ,25 GROVE STREET LLC,3200,13110,400,12710,400,0,0,0,0,0,2,1,5,24,25,32,100,32,85, ,3,N,5,1,234450,1178550,0,0,1900,0,0,Greenwich Village Historic District, ,4.1,2.43,0,4.8,1,1005880077,0,73,982829,206244,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,261.0446041,3050.498989,944100,9,0,13517,13521,15,3375,20.90555573,20.90555573,0,20.90555573,0,313.5833359 +13519,MN,236,38,102,41,5003,2,1,10013,E055,5,15,6800,1,2,1F,137 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,W1,8,0,C,DCAS/DEPARTMENT OF ED,19816,72650,72650,0,0,0,0,0,0,72650,2,1,5,0,2,199.5,100.08,196,98,E,1,Y,3,2,2452050,7788150,2452050,7788150,1921,1989,0, , ,3.67,6.02,6,6.5,1,1002360038,0,41,984714,201103,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,607.8314259,20583.11209,5336100,0,0,13518,13522,94,21150,21.9528904,25.46333313,3.510442734,22.5396874,1.033787171,2118.730616 +13520,MN,544,7501,102,57,2004,2,2,10003,E033,9,15,5700,2,2, ,56 COOPER SQUARE,M1-5B, , , , , , , , , ,N,RM,4,0, , ,13818,102792,15980,86812,0,8563,0,7417,0,0,2,3,12,26,28,167.25,95.6,0,0, ,0,N,0,5,1228499,14805902,2360,9011,1920,2004,0,NoHo Historic District, ,7.44,0,5,6.5,1,1005447501,2004,57,986666,204899,12c, ,103 024,10207, ,1005440032,2/11/2002,1, , ,17V1.1,7,553.6440481,14513.51414,13577400,12,0,13519,13523,62,13950,40.7820015,42.11444473,1.332443237,40.81812336,0.184397731,2530.723648 +13521,MN,797,5,104,87,1000,2,3,10011,L012,13,15,5600,1,4,1A,167 WEST 21 STREET,R8A, , , ,C2-5, , , , , ,N,L8,6,0, ,"ART HOUSE 21, LLC",614,2400,2400,0,0,0,0,2400,0,0,2,1,3,0,0,25,24.65,25,24, ,0,Y,5,5,90000,655200,0,0,1930,0,0, , ,3.91,6,0,6,1,1007970005,0,87,985336,209872,8d, ,103 030,10305, ,1007970001,3/15/2000,1, , ,17V1.1,0,103.5622349,669.1829489,565200,7,0,13520,13524,3,675,28.16444397,28.16444397,0,28.16444397,0,84.49333191 +13522,MN,691,24,104,99,1042,2,3,10011,E003,10,15,5500,1,4,1B,515 WEST 19 STREET,C6-2, , , , , ,WCH, , , ,N,S2,4,0, ,"515 WEST 19TH, LLC",1725,3848,1656,2192,1656,0,0,0,0,0,2,1,2,2,3,18.75,92,18.75,92, ,1,N,5,2,56479,138330,0,0,1920,2013,0, , ,2.23,6.02,6,6.5,1,1006910024,0,99,982402,210978,8b, ,103 044,10301,E-142,0, ,1,1,1,17V1.1,0,218.8096068,1712.141175,81851,7,1,13521,13525,8,1800,6.974444389,7.496111393,0.521667004,7.039652765,0.172525145,56.31722212 +13523,MN,418,7501,103,18,6001,2,1,10002,L006,5,14,7400,1,3, ,113 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,3016,9536,2582,6954,0,2582,0,0,0,0,2,1,5,12,13,25.17,119.83,0,0, ,0,N,5,5,220501,1142097,11622,41518,2002,0,0, , ,3.16,4,4,4,1,1004187501,1290,18,986413,200989,12c, ,11W 078,10204, ,1004180045,8/29/2003,1, , ,17V1.1,7,294.7565587,3059.091912,921596,13,0,13522,13526,14,3150,37.89666748,40.11555481,2.218887329,38.05515943,0.57145086,532.7722321 +13524,MN,875,34,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,139 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A4,1,0, ,"HSU, AARON J",1725,4876,0,3657,0,0,0,0,0,0,2,1,2,1,1,23,75,23,53, ,3,N,5,1,134433,292854,0,0,1910,2006,2009,Gramercy Park Historic District, ,2.83,4,0,4,1,1008750034,0,50,988263,207724,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,203.1968885,1785.278428,158421,5,0,13523,13527,8,1800,25.84222221,28.82999992,2.98777771,26.21569443,0.988114599,209.7255554 +13525,MN,237,12,102,41,4001,2,1,10013,E055,5,15,6800,1,2,1A,191 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,LITALY 2 LLC,4029,21907,3800,18107,0,3800,0,0,0,0,2,1,6,35,38,51,90,51.08,90, ,0,N,3,2,225000,2932650,0,0,1900,2005,0, , ,5.44,6.02,6,6.5,1,1002370012,0,41,985014,201254,12c, ,101N048,10105, ,1002370011,12/13/2004,1, , ,17V1.1,0,294.9047198,4982.281927,2707650,0,0,13524,13528,22,4950,26.23111153,27.97888947,1.747777939,26.54944472,0.603804919,584.0877838 +13526,MN,219,21,101,39,1014,2,1,10013,L008,1,15,7700,1,1,3B,177 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0, ,MANHATTAN REALTY COMP,3288,22771,6396,16375,0,3342,0,3054,0,0,2,1,7,5,8,33,100,33,100, ,2,N,3,2,322059,1035515,0,0,1915,2009,0,Tribeca North Historic District, ,6.93,6.02,6,6.5,1,1002190021,0,39,981901,202515,12a, ,101N040,10105, ,0, ,1, , ,17V1.1,0,276.0727214,3647.444534,713456,0,1,13525,13529,16,3600,10.46666718,14.10000038,3.633333206,11.46104205,1.495369185,183.3766727 +13527,MN,911,57,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,212 EAST 31 STREET,R7B, , , , , , , , , ,N,C4,2,0, ,"212 EAST 31ST STREET,",1975,2493,0,2493,0,0,0,0,0,0,2,1,3,4,4,20,98.75,20,44, ,3,N,5,5,132974,224863,0,0,1900,0,0, , ,1.26,3,0,3,1,1009110057,0,70,990082,210097,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,247.6330356,2173.855667,91889,10,0,13526,13530,11,2475,29.22888947,30.71633339,1.487443924,29.36411164,0.427610063,323.005228 +13528,MN,819,49,105,54,1004,2,3,10011,E014,13,15,5700,1,5,1O,4 WEST 18 STREET,C6-4A, , , , , , , , , ,N,L8,6,0, ,MAR-RICH HOLDING CORP,2300,5250,5250,0,0,2000,0,3250,0,0,2,1,3,0,3,25,92,25,85,E,3,N,5,2,202500,621000,0,0,1915,0,0,Ladies' Mile Historic District, ,2.28,10,10,10,1,1008190049,0,54,986278,208384,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,245.0801604,2390.196409,418500,7,0,13527,13531,11,2475,32.36888886,37.6222229,5.253334045,32.84646468,1.510227354,361.3111115 +13529,MN,276,33,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,112 MADISON STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,CHI FU INC.,2500,7300,1075,6225,0,1075,0,0,0,0,2,2,3,22,24,25,100,25,42, ,3,N,5,2,101250,525600,0,0,1900,1987,0, , ,2.92,3.44,0,6.5,1,1002760033,0,8,985643,198691,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.0767854,2600.981881,424350,16,0,13528,13532,11,2475,23.59300041,26.96333313,3.370332718,24.28734363,1.279721771,267.16078 +13530,MN,367,25,103,24,2000,1,2,10009,L011,9,14,6300,1,3,4A,184 AVENUE D,R7-2, , , , , , , , , ,N,U9,7,0,C,DEPT OF ENVIRONMENTAL,20000,0,0,0,0,0,0,0,0,0,7,1,0,0,0,100,200,0,0, ,0,N,5,5,0,0,0,0,0,0,0, , ,0,3.44,0,6.5,1,1003670025,0,24,991584,203897,12c, ,102 024,10202, ,0, ,1,1,1,17V1.1,0,601.4192781,20140.95545,0,12,1,13529,13533,89,20025,7.51777792,9.979999542,2.462221622,8.034366865,0.331639401,715.058651 +13531,MN,53,38,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,100 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,H2,5,0, ,SUN MOON NY LLC,4537,70918,0,0,0,0,0,0,0,0,2,1,25,0,192,49.92,91.58,49,91, ,3,Y,5,2,2143800,9315081,0,0,2015,2014,0, , ,15.63,10,15,15,1,1000530038,0,13,980439,197330,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,296.1900677,4809.327757,7171280,15,1,13530,13534,21,4725,7.869999886,12.38111115,4.511111259,8.084814707,0.960681089,169.7811089 +13532,MN,204,5,102,41,3002,2,1,10013,L006,5,15,6800,1,2,1F,102 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,WING WONG REALTY CORP,4749,19750,3950,15800,0,3950,0,0,0,0,2,1,5,24,26,50,94.08,25,79, ,0,N,5,2,350550,1245150,0,0,1920,1986,0, , ,4.16,6.02,6,6.5,1,1002040005,0,41,985040,200629,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,296.6697592,4943.101198,894600,0,0,13531,13535,21,4725,36.00444412,36.00444412,0,36.00444412,0,756.0933266 +13533,MN,389,32,103,26.02,2002,1,2,10009,L011,9,14,6700,1,3,3A,99 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C7,4,0,O,NYC CITY HSG AUTRHORI,3216,21620,4000,17620,0,4000,0,0,0,0,2,1,6,22,24,60.17,83,60,67, ,2,N,5,2,270000,1878750,270000,1878750,1907,1986,0, , ,6.72,4,0,4,1,1003890032,0,2602,989999,203046,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,288.4964406,5061.584219,1608750,12,1,13532,13536,23,5175,7.700000286,7.700000286,0,7.700000286,0,177.1000066 +13534,MN,712,42,104,83,3003,2,3,10011,E003,10,15,5600,1,4,1A,412 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,H2,5,0, ,LM LEGACY GROUP LLC,10330,136000,3297,0,0,3297,0,0,0,0,2,1,23,0,206,100,103.33,100,103, ,0,N,5,5,3951450,8149050,0,0,2010,0,0, , ,13.17,0,5,6.5,1,1007120042,0,83,982578,209562,8b, ,103 040,10302, ,1007120021,5/16/2007,1, , ,17V1.1,0,429.2587685,11480.57477,4197600,7,0,13533,13537,51,11475,12.4989996,14.58888912,2.089889526,12.71920444,0.606318272,648.6794262 +13535,MN,615,78,102,77,2002,2,3,10014,Q018,6,15,6100,1,2,3B,109 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,B1,1,0, ,"BROWN, GEORGIA A",1382,3878,0,2962,0,0,0,0,0,0,2,1,3,2,2,20,75.17,20,50,E,3,Y,5,1,43219,153860,1550,1550,1910,1990,0,Greenwich Village Historic District, ,2.81,3.44,2,6.5,1,1006150078,0,77,983645,208124,8b, ,103 016,10209, ,0, ,1, , ,17V1.1,0,191.3526252,1445.205376,110641,8,0,13534,13538,5,1125,21.74111176,21.74111176,0,21.74111176,0,108.7055588 +13536,MN,771,9,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,257 WEST 21 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,"LES FILLES QUATRE,",2469,9755,0,9755,0,0,0,0,0,0,2,1,5,10,10,25,98.75,25,81, ,3,N,5,2,79499,248615,0,0,1901,1987,0, , ,3.95,4,0,4,1,1007710009,0,87,984611,210317,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,252.5762625,2563.504139,169116,7,0,13535,13539,12,2700,21.99111176,25.15999985,3.168888092,22.49537086,1.129074987,269.9444504 +13537,MN,175,3,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3B,76 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,C6,2,0,P,FRANKLIN ART INC,2508,11100,2220,8880,0,0,0,0,0,2220,2,1,5,4,5,25.08,100,25,96,E,3,N,5,2,57859,365943,7490,7490,1915,0,0,Tribeca East Historic District, ,4.43,6.02,6,6.5,1,1001750003,0,33,983055,200876,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,257.5477929,2672.098973,308084,14,0,13536,13540,12,2700,17.40222168,17.40222168,0,17.40222168,0,208.8266602 +13538,MN,463,27,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,34 1/2 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,GIOIA RESIDENCES LLC,1840,7692,1282,6410,0,1282,0,0,0,0,2,1,6,11,12,20,92,20,74, ,3,N,5,2,270000,1710000,0,0,1900,0,0, , ,4.18,4,0,4,1,1004630027,0,38,987491,204735,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,232.9120884,2070.77902,1440000,12,0,13537,13541,9,2025,34.15777969,36.32888794,2.171108246,34.39901394,0.682313495,309.5911255 +13539,MN,9,1,101,9,1013,2,1,10004,L015,1,15,7700,1,1, ,34 WHITEHALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,ONE STATE STREET LLC,29481,692431,692431,0,655773,5089,0,31569,0,0,2,1,34,0,14,211.33,162.17,180,120, ,1,Y,3,2,23895000,136771650,0,0,1970,1979,2002, , ,23.49,10,15,15,1,1000090001,0,9,980562,195311,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,726.2073641,30605.48254,112877000,17,1,13538,13542,140,31500,6.522222042,9.923333168,3.401111126,7.494295955,0.76967108,1049.201434 +13540,MN,742,19,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,331 WEST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"XELT, LLC",2147,4554,0,3335,0,0,0,0,0,0,2,1,3,2,2,23.33,92,23.42,44,E,3,N,5,1,42658,138240,0,0,1910,0,0, , ,2.12,3,0,3,1,1007420019,0,89,983706,209978,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,233.7094727,2236.310331,95582,7,0,13539,13543,11,2475,15.59444427,15.59444427,0,15.59444427,0,171.538887 +13541,MN,589,104,102,67,1002,2,3,10014,E024,6,15,6400,1,2,1B,5C CARMINE STREET,R6,R7-2, , ,C1-5, , , , , ,Y,A9,1,0, ,"WHELAN, JON J",4226,1400,0,1400,0,0,0,0,0,0,2,1,3,1,1,33.1,20.12,18,26, ,3,Y,6,0,20092,99532,0,0,1900,1987,0,Greenwich Village Historic District Exte, ,0.33,2.43,0,4.8,1,1005890104,0,67,983613,205562,12a, ,103 005,10208, ,1005890004,1/5/1994,1, , ,17V1.1,0,167.4079313,1140.285354,79440,9,0,13540,13544,5,1125,15.87222195,19.43666649,3.564444542,17.18466663,1.617367485,85.92333317 +13542,MN,643,71,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,83 HORATIO STREET,C4-4A,R6, , , , , , , , ,Y,B9,1,0, ,"HORATIO PROPERTY, LLC",1938,3312,0,2484,0,0,0,0,0,0,2,1,2,2,2,23,84.25,23,36, ,3,N,5,1,47266,161419,0,0,1899,0,0,Greenwich Village Historic District, ,1.71,4,4,4,1,1006430071,0,79,982143,208491,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,219.065976,2037.54085,114153,8,1,13541,13545,6,1350,11.21500015,14.11833286,2.90333271,12.41759268,1.292103808,74.50555611 +13543,MN,583,3,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,424 HUDSON STREET,C1-6, , , , , , , , , ,N,C4,2,0, ,426 HUDSON ST INC,1320,4422,0,4422,0,0,0,0,0,0,2,1,4,9,9,22,60,22,60,E,3,N,5,1,60998,182449,0,0,1905,0,0,Greenwich Village Historic District, ,3.35,3.44,2,6.5,1,1005830003,0,67,982433,205395,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,172.5730209,1463.882896,121451,9,0,13542,13546,5,1125,15.38333321,17.46999931,2.086666107,15.80066643,0.834666443,79.00333214 +13544,MN,460,55,103,38,3000,1,2,10003,E028,9,14,6500,1,3,3B,63 EAST 4 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,COOPER SQ. HOUSING DE,2500,11250,790,10460,0,790,0,0,0,0,2,1,5,17,19,25,100,25,90, ,0,N,5,5,154350,1334250,143546,1240853,1920,1997,0,East Village/Lower East Side Historic Di, ,4.5,4,0,4,1,1004600055,0,38,986835,204128,12c, ,100 000,10205, ,1004600059,1/3/1995,1, , ,17V1.1,0,258.2686095,2577.931089,1179900,1,0,13543,13547,11,2475,35.65444565,36.90777588,1.253330231,35.76838476,0.360307108,393.4522324 +13545,MN,230,6,102,47,2014,2,1,10013,E055,1,15,6800,1,2,1A,323 CANAL STREET,M1-5B, , , , , , , , , ,N,K4,4,0, ,323 EQUITIES LLC,2225,5986,1615,4371,0,1615,0,0,0,0,2,1,3.5,0,2,18.58,86.67,19,85,E,3,Y,5,2,310500,427500,0,0,1915,0,0,SoHo-Cast Iron Historic District, ,2.69,0,5,6.5,1,1002300006,0,47,983486,201728,12a, ,101N046,10105,E-365,0, ,1, , ,17V1.1,0,235.3284604,2309.468283,117000,0,1,13544,13548,11,2475,11.39777756,11.39777756,0,11.39777756,0,125.3755531 +13546,MN,97,7504,101,15.01,3014,2,1,10038,E006,1,15,7700,1,1, ,214 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,RR,4,0, ,214 FRONT ST CONDO,4930,17111,2170,14941,0,2170,0,0,0,0,2,1,6,0,25,75.65,71.77,0,0, ,0,Y,0,5,277650,2149200,0,1348183,1999,0,0,South Street Seaport Historic District, ,3.47,6.02,6,6.5,1,1000977504,1413,1501,983536,197035,12b, ,11S 023,10103, ,1000970042,4/21/2005,1,1,1,17V1.1,7,299.4935172,5131.545261,1871550,4,1,13545,13549,23,5175,5.993332863,7.397778034,1.404445171,6.118086608,0.340479139,140.715992 +13547,MN,463,52,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,11 EAST 7 STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"477 AMSTERDAM REALTY,",1950,7430,1486,5944,0,1486,0,0,0,0,2,1,5,7,8,26,75,26,54, ,3,N,5,2,65004,234579,0,0,1900,0,0,East Village/Lower East Side Historic Di, ,3.81,3.44,6,6.5,1,1004630052,0,38,987073,204837,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,209.323382,2066.092074,169575,12,0,13546,13550,10,2250,34.15777969,39.06777954,4.909999847,35.53911247,2.114346633,355.3911247 +13548,MN,528,16,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,222 WEST HOUSTON STREET,R6,C2-6, , , , , , , , ,Y,K1,5,0, ,222-4 WEST HOUSTON ST,5565,6250,6250,0,0,6250,0,0,0,0,2,1,1,0,1,50,124.58,50,124.58, ,0,Y,5,2,405000,2373750,0,0,1920,2011,0, , ,1.12,2.43,0,4.8,1,1005280016,0,67,982939,204794,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,330.701309,5714.2795,1968750,9,0,13547,13551,24,5400,15.38333321,15.38333321,0,15.38333321,0,369.1999969 +13549,MN,11,12,101,9,1004,2,1,10004,L015,1,15,7700,1,1,1B,24 BEAVER STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,24 BEAVER STREET LLC,1260,5046,3770,1276,0,3770,0,0,0,0,2,1,4,1,4,21.31,59,21,59, ,3,Y,4,2,226800,1170000,0,0,1920,1960,2004, , ,4,10,15,15,1,1000110012,0,9,980889,196060,12b, ,101S001,10101, ,0, ,1, , ,17V1.1,0,165.7153366,1357.531248,943200,17,1,13548,13552,5,1125,10.96100044,10.96100044,0,10.96100044,0,54.80500221 +13550,MN,537,10,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,226 THOMPSON STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,"TWIN PARK EQUITIES,",2500,10422,1737,8685,0,1737,0,0,0,0,2,1,6,16,17,25,100,25,88, ,3,N,5,2,180000,1578600,0,0,1900,0,0,South Village Historic District, ,4.17,3.44,0,6.5,1,1005370010,0,65,984600,204929,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,257.3730887,2591.294614,1398600,9,0,13549,13553,12,2700,27.39777756,28.34666634,0.948888779,27.47685162,0.262259004,329.7222195 +13551,MN,803,28,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,113 WEST 27 STREET,M1-6, , , , , , , , , ,N,S9,4,0,P,JEE FOO REALTY CORP,1975,7320,1200,6120,0,1200,0,0,0,0,2,2,4,3,5,20,98.75,20,97, ,3,N,5,5,169268,569852,0,0,1910,0,0, , ,3.71,0,10,10,1,1008030028,0,95,986580,211039,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,248.4047729,2244.467102,400584,2,0,13550,13554,9,2025,36.93999863,37.16799927,0.228000641,37.14266586,0.071653689,334.2839928 +13552,MN,588,79,102,73,3000,2,3,10014,E024,6,15,6400,1,2,2B,19 GROVE STREET,R6, , , , , , , , , ,N,D1,3,0, ,TWENTY-ONE GROVE STRE,3447,12168,0,12168,0,0,0,0,0,0,2,1,5,39,39,46.08,70.75,26,50, ,3,N,5,2,298350,1544400,0,0,1900,1988,0,Greenwich Village Historic District, ,3.53,2.43,0,4.8,1,1005880079,0,73,982775,206205,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,239.2415705,3220.141208,1246050,9,0,13551,13555,13,2925,20.90555573,20.90555573,0,20.90555573,0,271.7722244 +13553,MN,473,7504,102,45,1003,2,1,10013,E055,5,15,6800,1,2, ,472 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,1669,7650,2238,5412,0,2238,0,0,0,0,2,1,5,4,5,16.67,100,16.67,100, ,0,Y,5,5,225627,1188301,0,0,1878,2004,0,SoHo-Cast Iron Historic District, ,4.58,0,5,6.5,1,1004737504,1643,45,984230,201994,12c, ,11N 073,10206, ,1004730106,4/3/2007,1, , ,17V1.1,7,238.7943055,1740.073751,962674,0,0,13552,13556,8,1800,20.99799919,22.0755558,1.07755661,21.13269377,0.356368352,169.0615501 +13554,MN,392,22,103,28,3001,1,2,10009,L011,9,14,6300,1,3,4A,374 EAST 10 STREET,R8B, , , , , , , , , ,N,C4,2,0,X,LOWER E SIDE II ASSOC,4614,20599,0,20599,0,0,0,0,0,0,2,1,6,17,17,50,92.25,50,76, ,3,N,5,2,540000,1917450,540000,1917450,1900,1988,0, , ,4.46,4,0,4,1,1003920022,0,28,990175,203811,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,290.8714575,4732.920775,1377450,12,1,13553,13557,20,4500,7.576999664,9.515555382,1.938555717,7.763438582,0.474415913,155.2687716 +13555,MN,529,7508,102,55.02,1002,2,1,10012,L009,9,15,5700,2,2, ,25 BOND STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,11450,61108,11826,49282,0,2774,9052,0,0,0,2,1,8,10,12,100,114.5,0,0, ,0,N,0,5,899999,13787999,0,2603684,2005,0,0,NoHo Historic District Extension, ,5.34,0,5,6.5,1,1005297508,1730,5502,985965,203845,12c, ,103 010,10207, ,1005290021,9/14/2007,1, , ,17V1.1,7,435.2148161,11751.93622,12888000,9,0,13554,13558,52,11700,41.23199844,46.82555389,5.59355545,42.23234485,1.790010605,2196.081932 +13556,MN,399,49,103,32,5000,1,2,10009,E028,9,14,6600,1,3,3A,177 EAST 3 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,175-177 EAST THIRD ET,2380,6636,0,6636,0,0,0,0,0,0,2,1,5,10,10,24.75,96.17,25,54, ,3,N,5,2,4070,69882,0,0,1900,1988,2009, , ,2.79,4,0,4,1,1003990049,0,32,988690,202810,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,247.3515913,2440.371454,65812,1,0,13555,13559,10,2250,18.04222298,21.83222198,3.789999008,19.14462261,1.519622592,191.4462261 +13557,MN,89,3,101,15.01,1005,2,1,10038,E006,1,15,7700,1,1,1B,143 FULTON STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0,P,143 FULTON STREET DEV,6067,119012,0,0,0,0,0,0,0,0,2,1,30,0,301,45.92,130,46,122, ,3,Y,4,2,1218150,1668150,0,0,2016,2016,0, , ,19.62,10,15,15,1,1000890003,0,1501,982042,198180,12b, ,101S011,10103, ,0, ,1, , ,17V1.1,0,348.9685584,5632.009818,450000,3,0,13556,13560,25,5625,36.27399826,38.34000015,2.066001892,36.42692291,0.52042929,910.6730728 +13558,MN,719,66,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,442 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0,P,CHELSEA 442 LLC,2462,5300,0,5300,0,0,0,0,0,0,2,1,4,24,24,25,98.75,25,50,E,3,N,5,1,100800,541350,0,0,1900,0,0,Chelsea Historic District, ,2.15,3,0,3,1,1007190066,0,89,983327,211145,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,245.1340311,2367.281725,440550,7,1,13557,13561,10,2250,10.39400005,15.4422226,5.048222542,12.1324667,1.885261572,121.324667 +13559,MN,350,2,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,168 SUFFOLK STREET,R7A, , , , , , , , , ,N,C4,2,0,P,168 SUFFOLK STREET OW,2500,7994,1200,6794,0,1200,0,0,0,0,2,2,5,9,10,25,100,25,100, ,2,N,5,2,36757,108021,0,0,1910,0,0, , ,3.2,4,0,4,1,1003500002,0,3001,988437,201871,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,257.0069359,2587.579205,71264,1,0,13558,13562,11,2475,22.40999985,28.15777779,5.747777939,23.92161595,2.213868517,263.1377754 +13560,MN,550,5,102,59,2001,2,1,10003,E033,6,15,5700,1,2,2A,5 WASHINGTON SQUARE N,R6, , , , , , , , , ,N,W6,8,0, ,NEW YORK UNIVERSITY,4430,6715,6715,0,0,0,0,0,0,6715,2,2,3.5,0,2,27.67,159.08,27.67,159.08, ,0,Y,5,5,418500,1014300,418500,680850,1920,1984,0,Greenwich Village Historic District, ,1.52,2.43,0,4.8,1,1005500005,0,59,985407,205673,12c, ,103 021,10207, ,0, ,1, , ,17V1.1,0,383.2841242,4554.055353,595800,9,0,13559,13563,20,4500,27.46111107,29.92777824,2.466667175,27.7700222,0.744273025,555.400444 +13561,MN,507,43,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,236 BOWERY,C6-1, , , , , ,LI, , , ,N,K4,4,0,P,BARI REST&PIZZERIA EQ,4882,10054,10054,0,0,3351,0,0,0,6703,2,1,3.5,0,3,68.33,71.33,68,70,E,3,Y,5,0,405000,1402650,0,0,1920,0,0, , ,2.06,3.44,6,6.5,1,1005070043,0,43,986061,202579,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,289.5613438,5125.144172,997650,9,0,13560,13564,22,4950,46.38299942,46.45888901,0.075889587,46.388353,0.01768846,1020.543766 +13562,MN,405,16,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,516 EAST 12 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,516 EAST 12,2581,9730,0,9730,0,0,0,0,0,0,2,1,5,20,20,25,103.25,25,91.25, ,0,N,5,5,294300,1948950,0,0,1900,0,0, , ,3.77,4,0,4,1,1004050016,0,34,989648,204688,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,263.7600618,2680.479992,1654650,12,0,13561,13565,13,2925,13.81444454,14.72000027,0.905555725,13.88410267,0.24130285,180.4933348 +13563,MN,776,21,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,221 WEST 26 STREET,C6-2, , , , , , , , , ,N,J6,5,0,P,221 WEST 26TH STREET,19700,53361,53361,0,244,0,0,0,0,53117,2,1,3,0,1,199.5,98.75,200,90,E,3,N,5,2,2520000,4375350,0,0,1930,1986,2013, , ,2.71,6.02,6,6.5,1,1007760021,0,95,985581,211296,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,599.95341,20003.07845,1855350,2,0,13562,13566,90,20250,26.70400047,31.38333321,4.679332733,26.8082301,0.601334392,2412.740709 +13564,MN,223,27,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,439 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,C7,4,0,P,PONTE EQUITIES INC,2498,12500,2500,10000,0,2500,0,0,0,0,2,1,5,12,13,25,99.92,25,99, ,3,N,5,2,58500,520200,0,0,1915,0,0, , ,5,6.02,6,6.5,1,1002230027,0,39,981458,202819,12a, ,101N040,10105, ,0, ,1,1,1,17V1.1,0,261.3889798,2822.588784,461700,0,1,13563,13567,13,2925,9.568888664,9.889555931,0.320667267,9.835213661,0.096218633,127.8577776 +13565,MN,635,2,102,79,3004,2,3,10014,L005,6,15,6100,1,2,3B,735 WASHINGTON STREET,C1-6A, , , , , , , , , ,N,B9,1,0, ,"EDGE, PETER",1180,2400,0,2400,0,0,0,0,0,0,2,1,3,2,2,20,61.08,20,40, ,2,Y,5,2,33828,129619,0,0,1899,2009,0,Greenwich Village Historic District, ,2.03,4,2,4,1,1006350002,0,79,982012,207555,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,170.6512801,1381.269331,95791,8,0,13564,13568,4,900,13.34599972,15.25444412,1.908444405,13.82311082,0.826380668,55.29244328 +13566,MN,490,19,102,47,1000,2,3,10013,L008,1,15,6800,1,2,1A,162 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,K1,5,0, ,124 COMMERCIAL L.P.,251,140,140,0,0,140,0,0,0,0,2,1,1,0,1,51,4.92,28.6,4.11, ,0,N,5,5,22500,45900,0,0,1900,0,0,Sullivan-Thompson Historic District, ,0.56,3.44,0,6.5,1,1004900019,0,47,983150,203481,12a, ,101N067,10206, ,0, ,1, , ,17V1.1,0,116.548157,305.2500351,23400,0,0,13565,13569,2,450,20.07933426,22.71222305,2.632888794,21.39577866,1.316444397,42.79155731 +13567,MN,492,41,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,5 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,AVIV ASSOCIATES LLC,2697,9135,2600,6535,0,2600,0,0,0,0,2,2,5,21,22,25.17,112.75,25,78, ,3,Y,5,2,113850,1578150,0,0,1900,2011,0, , ,3.39,6.02,6,6.5,1,1004920041,0,43,985840,202088,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,277.0542699,2864.307302,1464300,0,0,13566,13570,14,3150,39.76666641,39.76666641,0,39.76666641,0,556.7333298 +13568,MN,882,45,106,68,6002,2,2,10016,E016,13,14,5300,1,6,1B,362 3 AVENUE,C2-8,R8B, , , , , , , , ,Y,C7,4,0, ,360-364 THIRD OWNER L,2856,12511,1800,10711,800,1000,0,0,0,0,2,1,5,16,18,25.5,112,25.5,100,E,3,N,5,2,115200,854100,0,0,1910,1986,0, , ,4.38,10,2,10,1,1008820045,0,68,989257,209277,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,280.8007661,2903.956593,738900,11,0,13567,13571,13,2925,33.1230011,35.69244385,2.569442749,33.4017959,0.718137722,434.2233467 +13569,MN,396,26,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,638 EAST 14 STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,EAST 14TH STREET REAL,2779,10740,0,10740,0,0,0,0,0,0,2,1,5,20,20,26.92,103.25,27,85, ,3,N,5,2,232200,1154250,0,0,1920,0,0, , ,3.86,3.44,0,6.5,1,1003960026,0,28,990770,204675,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,266.6953654,2840.274764,922050,12,1,13568,13572,14,3150,6.340000153,6.340000153,0,6.340000153,0,88.76000214 +13570,MN,276,32,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,114 MADISON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,114 MADISON STREET RE,2633,10015,2000,8015,0,2000,0,0,0,0,2,1,5,20,22,25.67,100,26,90, ,3,Y,5,1,90000,625050,0,0,1900,1989,0, , ,3.8,3.44,0,6.5,1,1002760032,0,8,985668,198694,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,258.6496633,2631.840741,535050,16,0,13569,13573,10,2250,23.59300041,23.59300041,0,23.59300041,0,235.9300041 +13571,MN,286,3,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,213 HENRY STREET,R7-2, , , , , , , , , ,N,C4,2,0, ,HOOVER ALLIANCE LLC,1912,7590,0,7590,0,0,0,0,0,0,2,1,5,12,12,22.5,85,23,75, ,2,N,5,2,67500,228150,0,0,1900,0,0, , ,3.97,3.44,0,6.5,1,1002860003,0,201,987903,199354,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,225.900425,2072.196873,160650,13,0,13570,13574,8,1800,28.50666618,29.43333435,0.926668167,28.70930529,0.355750338,229.6744423 +13572,MN,912,1,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,451 3 AVENUE,C1-9, , , , , , , , , ,N,C5,2,0, ,"LEHMANN, SUZANNE",2500,9372,2500,6872,0,2500,0,0,0,0,2,1,4,13,15,25,100,25,92, ,3,N,3,2,292500,1157400,0,0,1920,0,0, , ,3.75,10,2,10,1,1009120001,0,70,990032,210262,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,256.6526642,2729.131399,864900,10,0,13571,13575,11,2475,26.45000076,28.83333397,2.383333206,26.66666742,0.685160123,293.3333416 +13573,MN,697,23,104,99,1038,2,3,10001,E003,10,15,5500,1,4,2B,511 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,0, ,511 WEST 25TH STREET,9890,83612,83612,0,79037,4575,0,0,0,0,2,1,9,0,53,100,98.75,100,90, ,3,N,5,2,900000,12391200,0,0,1917,0,0,West Chelsea Historic District, ,8.45,0,5,6.5,1,1006970023,0,99,983173,212337,8b, ,105S004,10301, ,0, ,1, ,1,17V1.1,0,404.7754369,10239.39542,11491200,2,1,13572,13576,47,10575,8.930000305,9.650000572,0.720000267,8.956572411,0.116700997,420.9589033 +13574,MN,499,7503,102,49,1005,2,1,10012,L020,1,15,6800,1,2, ,90 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2500,11200,3200,8000,0,0,0,0,0,3200,2,1,5,4,5,25,100,0,0, ,0,N,5,5,45837,426661,0,0,1900,0,0,SoHo-Cast Iron Historic District, ,4.48,0,5,6.5,1,1004997503,772,49,984217,203016,12c, ,101N072,10206, ,1004990043,11/20/1991,1, , ,17V1.1,7,263.2405519,2813.416555,380824,0,0,13573,13577,13,2925,22.35555458,23.4244442,1.068889618,22.43777686,0.284826327,291.6910992 +13575,MN,391,38,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,127 AVENUE C,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,343 EAST 8TH LLC,1500,7500,800,6700,0,800,0,0,0,0,2,1,5,8,10,20,75,19,72, ,2,N,3,2,38210,118219,0,0,1900,1987,2014, , ,5,4,0,4,1,1003910038,0,2602,990187,203370,12c, ,102 022,10203, ,0, ,1,1,1,17V1.1,0,208.2745355,1797.156472,80009,12,1,13574,13578,8,1800,7.409999847,7.409999847,0,7.409999847,0,59.27999878 +13576,MN,772,40,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,209 WEST 22 STREET,R8A, , , ,C2-5, , , , , ,N,A9,1,0, ,"VELAZQUEZ BERNSTEIN,",822,2776,0,2468,0,0,0,0,0,0,2,1,4,1,1,16.67,49.33,16.67,37, ,3,N,5,1,40594,96711,0,0,1901,1967,0, , ,3.38,6,0,6,1,1007720040,0,91,985238,210236,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,138.2436224,913.5229239,56117,2,0,13575,13579,3,675,22.16600037,23.93111038,1.765110016,22.75437037,0.832080841,68.26311111 +13577,MN,449,21,103,38,7001,1,2,10003,L011,9,14,6500,1,3,4B,64 ST MARKS PLACE,R8B, , , , , , , , , ,N,C4,2,0, ,64 ST MARKS PLACE LLC,2537,11814,0,11814,0,0,0,0,0,0,2,1,6,26,26,25,101.5,25,84, ,3,N,5,1,382500,1479150,0,0,1900,0,0, , ,4.66,4,0,4,1,1004490021,0,38,988010,204441,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,254.7171649,2540.216463,1096650,12,0,13576,13580,12,2700,26.46777725,29.08666611,2.618888855,26.86153682,0.674125045,322.3384418 +13578,MN,738,33,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,81 8 AVENUE,C6-2A, , , , , , , , , ,N,K2,5,0,P,CENTRAL RUG & CARPETM,8556,22274,22274,0,5162,8556,0,8556,0,0,2,1,3,0,1,45.25,125,45.25,125, ,0,Y,3,2,585000,3525750,0,0,1897,2010,0, ,FORMER NEW YORK BANK FOR SAVINGS,2.6,6.02,6,6.5,1,1007380033,0,83,983485,208901,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,474.3435352,9200.703558,2940750,7,0,13577,13581,41,9225,16.15333366,16.15333366,0,16.15333366,0,662.2866802 +13579,MN,700,29,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,313 10 AVENUE,C6-4, , , , , ,WCH, , , ,N,C4,2,0, ,PRADERA REALTY CORP,2467,12209,2000,10209,0,2000,0,0,0,0,2,1,5,12,15,24.67,100,25,100, ,2,N,3,2,150750,1880100,0,0,1901,1987,0, , ,4.95,10,10,10,1,1007000029,0,99,983662,212908,8b, ,105S015,10301, ,0, ,1, , ,17V1.1,0,256.0306546,2690.166914,1729350,2,1,13578,13582,12,2700,11.49300003,11.49300003,0,11.49300003,0,137.9160004 +13580,MN,903,53,106,64,1001,2,2,10010,E005,13,14,5900,1,6,1B,210 EAST 23 STREET,C2-8A, , , , , , , , , ,N,O5,5,0, ,BLERU REALTY CORP,2173,10780,10780,0,6970,1785,0,2025,0,0,2,1,5,0,7,22,98.75,22,90, ,3,N,5,2,225000,985500,0,0,1915,2013,0, , ,4.96,10,2,10,1,1009030053,0,64,989071,208257,8d, ,104 007,10308, ,0, ,1, , ,17V1.1,0,243.1655541,2018.039392,760500,11,0,13579,13583,8,1800,19.86555672,24.07999992,4.214443207,20.39236212,1.39379608,163.1388969 +13581,MN,141,16,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,317 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,L8,6,0,P,IRREVOCABLE TRUST OF,3782,18345,7488,10857,0,7488,0,0,0,0,2,1,5,7,8,38.5,100,39,96, ,3,Y,5,2,198000,1750050,0,0,1920,0,0,Tribeca West Historic District, ,4.85,6.02,6,6.5,1,1001410016,0,39,981352,200505,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,292.9857197,3969.211836,1552050,14,0,13580,13584,17,3825,15.17777824,16.8029995,1.625221252,16.29084941,0.697972858,276.9444399 +13582,MN,401,15,103,32,6000,1,2,10009,E028,9,14,6600,1,3,3A,510 EAST 6 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,THE ESTATE OF MARTHA,4845,13854,0,13854,0,0,0,0,0,0,2,1,5,20,21,49.92,97,50,54, ,3,N,5,2,171000,614700,0,0,1900,0,0, , ,2.86,3,0,3,1,1004010015,0,32,988868,203401,12c, ,102 021,10203, ,0, ,1, , ,17V1.1,0,298.4281438,5013.646173,443700,1,0,13581,13585,22,4950,14.20666695,16.55555534,2.348888397,14.73057595,0.826506424,324.0726709 +13583,MN,575,7501,102,63,2000,2,3,10011,L003,6,15,5700,3,2, ,53 WEST 11 STREET,R6, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,2478,11380,2000,9380,2000,0,0,0,0,0,2,1,5,15,16,0.05,0,0,0, ,0,N,5,5,191250,1227600,4720,4720,1900,0,0,Greenwich Village Historic District, ,4.59,2.43,0,4.8,1,1005757501,515,63,985091,207089,12c, ,103 020,10207, ,1005750076,11/1/1988,1, , ,17V1.1,7,262.5863632,2649.118002,1036350,8,0,13582,13586,12,2700,24.42399979,24.42399979,0,24.42399979,0,293.0879974 +13584,MN,457,8,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,319 BOWERY,C6-1, , , , , , , , , ,N,J4,5,0, ,319 BOWERY NY LLC,1596,5429,5429,0,0,0,0,0,0,5429,2,1,4,0,3,22.33,93,22,84, ,2,Y,5,2,157500,349650,0,0,1920,1977,0, , ,3.4,3.44,6,6.5,1,1004570008,0,3602,986520,203526,12c, ,102 009,10205, ,0, ,1, , ,17V1.1,0,229.0769505,1710.378973,192150,1,0,13583,13587,8,1800,41.87900162,42.1546669,0.275665283,41.91345978,0.091167723,335.3076782 +13585,MN,609,7,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,154 WEST 14 STREET,C6-3A,C2-6, , , , , , , , ,Y,O6,5,0, ,ABNER PROPERTIES COMP,11767,140044,140044,0,98219,8825,0,0,0,33000,2,1,12,0,13,100,117.67,100,110,E,2,N,3,2,1836000,9630000,0,0,1912,1968,0, ,154 WEST 14TH STREET BUILDING,11.9,7.52,6,7.5,1,1006090007,0,71,984372,208209,8d, ,103 027,10209, ,0, ,1, , ,17V1.1,0,440.4835007,12041.0592,7794000,8,0,13584,13588,53,11925,25.65555573,28.64222145,2.986665726,25.86947603,0.749216008,1371.08223 +13586,MN,440,7504,103,34,4001,1,2,10009,L011,9,14,6200,4,3, ,427 EAST 12 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2504,9465,0,9465,0,0,0,0,0,0,2,1,6,10,10,24.25,103.25,24.25,72, ,0,N,0,5,625501,1688883,0,0,2008,0,0, , ,3.78,4,0,4,1,1004407504,2435,34,989204,205116,12c, ,102 028,10205, ,1004400046,1/27/2014,1, , ,17V1.1,7,257.7582819,2514.5099,1063380,12,0,13585,13589,11,2475,16.59444427,16.59444427,0,16.59444427,0,182.538887 +13587,MN,396,27,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,640 EAST 14 STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,EAST 14TH STREET REAL,2831,10900,0,10900,0,0,0,0,0,0,2,1,5,20,20,27.42,103.25,27,85, ,3,N,5,2,234000,1193850,0,0,1920,0,0, , ,3.85,3.44,0,6.5,1,1003960027,0,28,990794,204662,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,268.4756562,2935.270646,959850,12,1,13586,13590,13,2925,6.340000153,7.761111259,1.421111107,6.449316392,0.37868256,83.84111309 +13588,MN,411,53,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,105 STANTON STREET,C4-4A, , , , , , , , , ,N,S9,4,0, ,105 STANTON CORP,2225,6500,2500,4000,0,2500,0,0,0,0,2,1,4,6,9,25,89,25,89, ,0,N,3,5,384626,720252,0,0,1995,2005,0, , ,2.92,4,4,4,1,1004110053,0,3001,987690,201982,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,235.6140184,2470.755379,335626,1,0,13587,13591,12,2700,30.50799942,31.80999947,1.302000046,30.80127716,0.514120276,369.6153259 +13589,MN,606,69,102,71,3001,2,3,10011,Q018,6,15,6100,1,2,3B,2 MILLIGAN PLACE,C1-6, , , , , , , , , ,N,C0,2,0, ,1-4 MANAGEMENT LLC,1134,2040,0,2040,0,0,0,0,0,0,2,1,3,3,3,17.5,63.83,17.5,40, ,3,Y,5,2,24619,88858,0,0,1899,0,0,Greenwich Village Historic District, ,1.8,3.44,2,6.5,1,1006060069,0,71,984542,207087,12c, ,103 017,10209, ,0, ,1, , ,17V1.1,0,167.3237841,1236.257993,64239,8,0,13588,13592,6,1350,20.06222153,22.12888908,2.066667557,20.57379595,0.785963332,123.4427757 +13590,MN,467,35,103,40,2000,1,2,10003,L003,9,14,6200,1,3,4B,175 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,D6,4,0,P,14 L. PIERRE ASSOCIAT,11903,49227,8205,41022,0,8205,0,0,0,0,2,1,6,56,60,103.5,115,104,105,E,2,Y,3,2,2403000,7472250,0,0,1935,1984,0, , ,4.14,4,0,4,1,1004670035,0,40,987970,205496,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,456.1338179,12628.01269,5069250,12,0,13589,13593,57,12825,28.52666664,31.47999954,2.953332901,28.68975047,0.578204808,1635.315777 +13591,MN,385,1,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,19 AVENUE B,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,LES COALITION HOUSING,2093,5852,704,5148,0,704,0,0,0,0,2,1,4,7,8,28,74.75,28,74.75, ,0,N,3,5,117603,501837,103491,441617,1997,0,0, , ,2.8,4,0,4,1,1003850001,0,2202,988918,202331,12c, ,102 013,10203, ,0, ,1, , ,17V1.1,0,210.839083,2159.226809,384234,1,0,13590,13594,9,2025,17.58333397,17.58333397,0,17.58333397,0,158.2500057 +13592,MN,179,7505,101,33,3019,2,1,10013,E007,1,15,7700,3,1, ,27 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,2166,11143,0,11143,0,0,0,0,0,0,2,1,6,6,6,0.04,0,0,0, ,0,N,0,5,135000,1296901,0,217147,1920,0,0,Tribeca West Historic District, ,5.14,6.02,6,6.5,1,1001797505,1175,33,982193,201099,12a, ,11S 035,10105, ,1001790045,3/12/2001,1, , ,17V1.1,7,234.915452,2217.84971,1161900,14,1,13591,13595,10,2250,10.17444515,10.17444515,0,10.17444515,0,101.7444515 +13593,MN,429,15,103,30.02,2001,1,2,10009,E028,9,14,6600,1,3,3B,105 EAST 2 STREET,R8B, , , , , , , , , ,N,C4,2,0,P,EAGLES NEST- EAST VIL,2118,7105,0,7105,0,0,0,0,0,0,2,1,5,10,10,20,105.92,20,81, ,3,N,5,2,34993,139833,0,0,1900,0,0, , ,3.35,4,0,4,1,1004290015,0,3002,987719,202855,12c, ,102 011,10205, ,0, ,1, , ,17V1.1,0,256.6276219,2166.257662,104840,1,0,13592,13596,10,2250,28.19499969,30.21999931,2.024999619,28.59716644,0.673838745,285.9716644 +13594,MN,922,21,106,48,5001,2,2,10003,E005,13,14,5900,1,6,1A,263 1 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0,P,FIRST AVENUE EQUITIES,2266,8580,1500,7080,0,1500,0,0,0,0,2,1,5,8,10,28.33,80,28,64, ,3,N,5,2,126096,539802,0,0,1910,1961,0, , ,3.79,4,2,4,1,1009220021,0,48,989186,206099,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,232.5845174,2507.471735,413706,5,0,13593,13597,10,2250,19.57900047,19.68655586,0.107555389,19.58975601,0.032266617,195.8975601 +13595,MN,745,1,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,180 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,C6,2,0,P,C/S WINDOW INSTALLERS,1480,4875,800,4075,0,800,0,0,0,0,2,1,4,7,8,24.67,60,25,60,E,2,Y,3,2,59406,456992,0,0,1910,0,0,Chelsea Historic District, ,3.29,3,0,3,1,1007450001,0,89,983710,210773,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,181.6097937,1717.527626,397586,7,0,13594,13598,7,1575,15.97222233,15.97222233,0,15.97222233,0,111.8055563 +13596,MN,281,29,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,62 EAST BROADWAY,C6-1G, , , , , , , , , ,N,L8,6,0, ,ANDWAR REALTY COL. IN,1708,7505,7505,0,7505,0,0,0,0,0,2,1,5,0,4,24.92,68.5,25,68,E,3,Y,5,2,158400,556650,0,0,1900,0,0, , ,4.39,3.44,6,6.5,1,1002810029,0,8,985595,199348,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,191.0067507,1731.388746,398250,16,0,13595,13599,7,1575,35.10200119,35.10200119,0,35.10200119,0,245.7140083 +13597,MN,528,37,102,67,2003,2,3,10014,E024,6,15,6400,1,2,1B,29 BEDFORD STREET,R6, , , , , , , , , ,N,C6,2,0, ,34 DOWNING OWNERS COR,1875,8735,1420,7315,0,1420,0,0,0,0,2,1,5,12,14,25,75,25,75, ,2,N,3,2,168750,1146600,4720,4720,1910,0,0,Greenwich Village Historic District Exte, ,4.66,2.43,0,4.8,1,1005280037,0,67,983195,204946,12a, ,103 003,10206, ,0, ,1, , ,17V1.1,0,209.2059419,2109.866999,977850,9,0,13596,13600,10,2250,15.38333321,15.79399967,0.410666466,15.68535528,0.156856117,156.8535528 +13598,MN,436,26,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,434 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"D& G 434, LLC",2348,6345,1000,5345,0,1000,0,0,0,0,2,1,5,8,10,25,93.92,25,50, ,3,N,5,2,46112,172025,0,0,1900,0,0, , ,2.7,4,0,4,1,1004360026,0,32,988852,204260,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,251.7618793,2522.034264,125913,12,0,13597,13601,11,2475,17.84799957,19.75333405,1.905334473,18.0212118,0.547745149,198.2333298 +13599,MN,283,15,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,137 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,S9,4,0,X,"I.S.S. OF NEW YORK,IN",2600,5431,2000,3431,0,2000,0,0,0,0,2,1,4,3,5,25.67,100,26,47, ,3,Y,5,5,87513,127192,87513,127192,1920,0,0, , ,2.09,3.44,0,6.5,1,1002830015,0,6,986783,199236,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,247.4794358,2405.079428,39679,16,0,13598,13602,9,2025,28.23333359,28.23333359,0,28.23333359,0,254.1000023 +13600,MN,586,11,102,67,3006,2,3,10014,E024,6,15,6400,1,2,1B,22 LEROY STREET,R6, , , , , , , , , ,N,C6,2,0, ,SCHRAMM WALTER,3500,14166,0,14166,0,0,0,0,0,0,2,1,6,24,24,43.75,80,44,66, ,3,N,5,2,275400,1447650,9440,9440,1910,0,0,Greenwich Village Historic District Exte, ,4.05,2.43,0,4.8,1,1005860011,0,67,983264,205420,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,251.2296739,3557.337468,1172250,9,0,13599,13603,17,3825,15.38333321,15.38333321,0,15.38333321,0,261.5166645 +13601,MN,544,5,102,57,2004,2,2,10003,E033,9,15,5700,1,2,2A,403 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,G1,10,0, ,KALODOP PARK CORP,11985,33996,33996,0,0,0,33996,0,0,0,2,1,3,0,1,80.75,150,80.75,150, ,3,Y,5,0,571500,2874150,0,0,1931,0,0,NoHo Historic District, ,2.84,0,5,6.5,1,1005440005,0,57,986358,204556,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,472.7512838,12424.19342,2302650,9,0,13600,13604,57,12825,40.7820015,45.86000061,5.077999115,41.2391085,1.369506619,2350.629185 +13602,MN,202,14,103,29,3000,2,1,10013,E009,5,15,7700,1,3,1A,158 CANAL STREET,C6-1G, , , , , , , , , ,N,K4,4,0, ,CANBETH REALTY CORP,950,2790,1860,930,0,930,0,930,0,0,2,1,3,2,4,18.5,50.67,19,50, ,3,Y,5,2,114750,460350,0,0,1910,0,0, , ,2.94,3.44,6,6.5,1,1002020014,0,29,985118,200235,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,143.3081986,962.9373946,345600,14,0,13601,13605,4,900,42.4090004,43.84199905,1.432998657,42.76725006,0.62050662,171.0690002 +13603,MN,923,36,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,307 1 AVENUE,C1-8A, , , , , , , , , ,N,I4,8,0, ,305 FIRST AVENUE NY O,1840,4784,1100,3684,1100,0,0,0,0,0,2,1,4,6,7,23,80,23,46,E,3,N,5,2,191700,540900,138024,389448,1910,1987,0, , ,2.6,7.52,2,7.5,1,1009230036,0,48,989463,206604,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,211.1084826,1924.543036,349200,5,0,13602,13606,9,2025,14.83555603,14.83555603,0,14.83555603,0,133.5200043 +13604,MN,346,95,103,14.02,1005,2,1,10002,L018,7,14,7400,1,3,2B,384 GRAND STREET,R8, , , , , , , , , ,N,C7,4,0, ,384 GRAND ST HSNG ETC,8642,26377,1600,24777,0,1600,0,0,0,0,2,1,5,26,29,94.33,105.08,67,73, ,2,Y,3,2,424800,1708200,2360,2360,1920,1987,0, , ,3.05,6.02,0,6.5,1,1003460095,0,1402,987677,200317,12c, ,101N080,10201, ,1003460001,1/6/1987,1, , ,17V1.1,0,397.6086618,8590.133934,1283400,13,0,13603,13607,38,8550,32.85777664,35.3722229,2.514446259,33.69713673,0.546329064,1280.491196 +13605,MN,883,65,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,132 EAST 28 STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,KIPS BAY REALTY CORP,1480,4484,4484,0,3084,1400,0,0,0,0,2,1,4,0,4,20,74,20,43,E,3,N,5,2,292500,694800,0,0,1910,0,0, , ,3.03,6.02,6,6.5,1,1008830065,0,68,989172,209733,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,195.7006617,1533.734614,402300,11,0,13604,13608,6,1350,33.40789032,33.59466553,0.186775208,33.43901952,0.06960701,200.6341171 +13606,MN,426,5,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,223 BOWERY,C6-1, , , , , , , , , ,N,H2,5,0,P,KAL BOWERY LLC,8576,62598,0,0,0,0,0,0,0,0,2,2,10,0,1,53.29,184,53,152, ,0,Y,5,2,969300,6045310,0,0,1910,2014,0, , ,7.3,3.44,6,6.5,1,1004260005,0,3601,986216,202279,12c, ,102 001,10204, ,1004260005,1/27/2014,1, , ,17V1.1,0,475.6250276,8400.248966,5076010,13,0,13605,13609,37,8325,41.51444626,46.26000214,4.745555878,41.88000169,1.123828528,1549.560062 +13607,MN,469,19,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,222 EAST 14 STREET,C1-6A, , , , , , , , , ,N,K4,4,0, ,46919 REALTY LLC,1652,5492,3040,2452,1520,1520,0,0,0,0,2,1,5,3,5,16,103.25,16,95,E,3,N,5,2,148500,1043100,0,0,1900,0,0, , ,3.32,4,2,4,1,1004690019,0,40,988025,206196,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,243.7607829,1617.891685,894600,12,0,13606,13610,7,1575,29.06444359,29.06444359,0,29.06444359,0,203.4511051 +13608,MN,97,10,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,104 SOUTH STREET,C6-2A, , , , , ,LM, , , ,N,D7,4,0, ,105 SOUTH STREET DEVE,5110,27698,3025,24673,0,3025,0,0,0,0,2,1,6,20,22,75.03,87.09,25,40, ,3,Y,3,0,459900,532888,0,0,1860,2015,2015,South Street Seaport Historic District, ,5.42,6.02,6,6.5,1,1000970010,0,1501,983625,196854,12b, ,101S023,10103, ,1000970010,8/3/2012,1,1,1,17V1.1,0,341.5919037,5630.002235,72988,4,1,13607,13611,25,5625,5.993332863,5.993332863,0,5.993332863,0,149.8333216 +13609,MN,883,56,106,68,6000,2,2,10016,E016,13,14,5300,1,6,2A,148 EAST 28 STREET,R8B, , , , , , , , , ,N,S9,4,0, ,148-150 EAST 28TH ST,3901,6772,2742,4030,0,2742,0,0,0,0,2,1,4,6,9,37.5,98.75,37.5,43,E,3,N,5,2,119857,733573,0,0,1910,1987,2005, , ,1.74,4,0,4,1,1008830056,0,68,989329,209632,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,280.1623188,3866.030137,613716,11,0,13608,13612,17,3825,33.40789032,38.56999969,5.162109375,33.71154381,1.214613971,573.0962448 +13610,MN,179,56,101,33,3019,2,1,10013,E007,1,15,7700,1,1,3B,100 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,ONE HUNDRED HUDSON TE,6797,73954,4000,69954,0,4000,0,0,0,0,2,1,10,47,49,57.58,89.25,57,89, ,0,Y,3,2,837000,7632450,145590,145590,1919,0,0,Tribeca West Historic District, ,10.88,6.02,6,6.5,1,1001790056,0,33,981916,201252,12a, ,101S035,10105, ,0, ,1, , ,17V1.1,0,367.6699262,7433.561398,6795450,14,1,13609,13613,32,7200,10.17444515,18.03666687,7.862221718,10.62296242,1.523519126,339.9347973 +13611,MN,408,3,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,72 ORCHARD STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,72 ORCHARD STREET COR,2190,8652,1800,6852,0,1800,0,0,0,0,2,1,5,15,17,25,87.5,25,69, ,3,N,5,2,225000,1092150,0,0,1920,1985,0, , ,3.95,4,4,4,1,1004080003,0,18,986947,200695,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,233.1099378,2243.054174,867150,13,0,13610,13614,9,2025,36.36111069,37.98333359,1.6222229,36.54135768,0.509815473,328.8722191 +13612,MN,831,52,105,76,2005,2,4,10001,E001,14,15,5200,1,5,1A,22 WEST 30 STREET,M1-6, , , , , , , , , ,N,D5,3,0, ,GREAT EMPIRE REALTY L,2469,9745,1900,7845,0,1900,0,0,0,0,2,1,5,4,5,25,98.75,25,94,E,3,N,5,2,231261,726433,0,0,1910,0,0, , ,3.95,0,10,10,1,1008310052,0,76,987642,211156,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,247.0207493,2442.102793,495172,10,0,13611,13615,11,2475,41.02666855,43.96888733,2.942218781,41.29414298,0.845828429,454.2355728 +13613,MN,613,36,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,33 PERRY STREET,R6, , , , , , , , , ,N,C0,2,0, ,PUCCI CARL,2454,6608,0,6608,0,0,0,0,0,0,2,1,3,3,3,25.83,95,25.83,90, ,3,N,5,2,47224,149299,1550,1550,1900,1990,0,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1006130036,0,73,983539,207367,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,245.9983181,2457.253949,102075,8,0,13612,13616,11,2475,25.34199905,25.78377724,0.441778183,25.38216071,0.127002298,279.2037678 +13614,MN,706,29,104,99,1040,2,3,10001,E034,10,15,5500,1,4,2A,435 10 AVENUE,C6-4, , , , , ,HY, , , ,N,G6,10,0,P,"509 W 34, L.L.C.",37026,0,0,0,0,0,0,0,0,0,7,1,0,0,0,148.08,225,0,0, ,0,Y,3,5,3364650,3364650,0,0,0,0,0, , ,0,10,10,10,1,1007060029,0,99,984461,214344,8d, ,105S027,10302,E-137,0, ,1, , ,17V1.1,0,1062.168486,39053.30576,0,6,0,13613,13617,163,36675,31.1609993,44.9766655,13.8156662,41.50540564,2.239163738,6765.381119 +13615,MN,203,17,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,140 HESTER STREET,C6-1G, , , , , ,LI, , , ,N,HR,5,0,P,BOWERY 88 LLC,5017,31000,5800,0,0,5800,0,0,0,0,2,1,6,0,8,50,100,50,100, ,3,Y,3,2,1083600,1416600,0,0,1910,0,0, , ,6.18,3.44,6,6.5,1,1002030017,0,41,985406,200597,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,314.7172786,5466.922507,333000,0,0,13614,13618,24,5400,40.21222305,42.68333435,2.471111298,40.55634324,0.808223393,973.3522377 +13616,MN,575,85,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,71 WEST 11 STREET,R6,C1-6, , , , , , , , ,Y,B2,1,0, ,PETER T. BARBUR,2349,5002,0,4002,0,0,0,0,0,0,2,1,3,2,2,22.75,103.25,23,58, ,3,N,5,1,91264,334509,0,0,1900,2005,0,Greenwich Village Historic District, ,2.13,2.43,0,4.8,1,1005750085,0,63,984900,207194,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,256.5342156,2327.207939,243245,8,0,13615,13619,11,2475,22.71555519,24.42399979,1.708444595,24.26868664,0.491143289,266.9555531 +13617,MN,515,8,102,49,1000,2,1,10012,L020,1,15,6800,1,2,1A,465 WEST BROADWAY,M1-5A, , , , , , , , , ,N,D4,3,0, ,465 W BWAY COOP INC,7500,40130,6688,33442,3344,3344,0,0,0,0,2,1,6,24,26,75,100,75,92,E,3,N,5,2,306000,4902750,0,0,1900,1985,0,SoHo-Cast Iron Historic District, ,5.35,0,5,6.5,1,1005150008,0,49,984240,203907,12c, ,101N071,10206, ,0, ,1, , ,17V1.1,0,356.8006144,7737.633066,4596750,9,0,13616,13620,34,7650,20.20444489,23.87222099,3.667776108,20.36320956,0.677131508,692.3491249 +13618,MN,107,2,101,15.01,3003,2,1,10038,E006,1,15,7700,1,1,1B, FRONT STREET,C6-2A, , , , , ,LM, , , ,N,U0,7,0, ,SOUTH ST SEAPORT MUSE,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0,South Street Seaport Historic District, ,0,6.02,6,6.5,1,1001070002,0,1501,984026,197177,12d,Y,101S023,10103, ,0, ,1,1,1,17V1.1,0,805.939169,34124.5002,0,4,1,13617,13621,153,34425,5.993332863,5.993332863,0,5.993332863,0,916.979928 +13619,MN,462,18,103,38,1004,1,2,10003,E028,9,14,6500,1,3,4B,38 EAST 7 STREET,R8B,R7A, , ,C2-5, , , , , ,Y,H8,8,0,X,NEW YORK UNIVERSITY,8652,22224,0,0,0,0,0,0,0,0,2,1,3,0,1,95.25,90.83,95,82, ,2,N,5,2,819000,2217150,819000,2217150,1920,1967,0, , ,2.57,4,0,4,1,1004620018,0,38,987335,204530,12c, ,102 018,10205,E-216,0, ,1, , ,17V1.1,0,375.7029283,8822.029027,1398150,12,0,13618,13622,39,8775,35.00777817,38.30444717,3.296669006,35.15516565,0.564575186,1371.05146 +13620,MN,613,1,102,73,6000,2,3,10014,Q018,6,15,6400,1,2,2K,267 WEST 4 STREET,R6, , , , , , , , , ,N,S4,4,0, ,JANDALE REALTY INC.,896,2688,896,1792,0,896,0,0,0,0,2,1,3,4,5,17.92,50,17,50, ,2,N,3,5,138934,317987,0,0,1920,0,0,Greenwich Village Historic District, ,3,2.43,0,4.8,1,1006130001,0,73,983360,207292,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,145.1151964,1013.784548,179053,8,0,13619,13623,5,1125,25.34199905,25.34199905,0,25.34199905,0,126.7099953 +13621,MN,53,33,101,13,1014,2,1,10006,E010,1,15,7700,1,1,1A,110 GREENWICH STREET,C6-9, , , , , ,LM, , , ,N,D8,3,0,P,110 GREENWICH II LLC,6085,57941,3000,54941,0,3000,0,0,0,0,2,1,13,60,61,52.33,96,52.33,96, ,0,Y,3,2,1098000,6266250,0,0,1929,1998,0, , ,9.52,10,15,15,1,1000530033,0,13,980485,197486,12b, ,101S009,10101, ,0, ,1,1,1,17V1.1,0,340.4663056,6829.14115,5168250,15,1,13620,13624,30,6750,7.869999886,10.80888844,2.93888855,8.321133232,0.914898638,249.633997 +13622,MN,915,6,106,78,4001,2,2,10016,L007,17,13,5000,1,6,2A,209 EAST 34 STREET,C1-9A, , , , , , , , , ,N,S5,4,0, ,207 EAST 34 ACQUISITI,1234,2632,960,1672,0,960,0,0,0,0,2,1,3,6,7,12.5,98.75,13,99, ,3,N,5,1,113457,250204,0,0,1910,0,0, , ,2.13,10,2,10,1,1009150006,0,78,990518,210964,8d, ,104 022,10308, ,0, ,1, , ,17V1.1,0,227.3603828,1184.121397,136747,10,0,13621,13625,5,1125,27.39299965,29.52222252,2.12922287,27.81884422,0.851689148,139.0942211 +13623,MN,609,52,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,113 WEST 13 STREET,R6, , , , , , , , , ,N,S3,4,0, ,"DIAZ, JULIO",2000,2340,780,1560,0,780,0,0,0,0,2,1,3,3,4,20,100,20,90,E,3,N,5,5,223924,414137,0,0,1900,1985,0,Greenwich Village Historic District, ,1.17,2.43,0,4.8,1,1006090052,0,71,984828,207844,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,242.5191154,1960.654448,190213,8,0,13622,13626,9,2025,25.65555573,25.65555573,0,25.65555573,0,230.9000015 +13624,MN,506,51,102,37,3001,2,3,10013,E024,1,15,6800,1,2,1B,23 VANDAM STREET,R6, , , , , , , , , ,N,B1,1,0, ,"WEISSMAN, IRA",2018,2000,0,2000,0,0,0,0,0,0,2,1,2.5,2,2,20.17,100.08,20.17,40, ,2,N,5,2,23724,109900,0,0,1899,0,0,Charlton-King-Vandam Historic District, ,0.99,2.43,0,4.8,1,1005060051,0,37,982945,203985,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,245.0050111,2066.444511,86176,0,0,13623,13627,10,2250,20.62700081,24.75555611,4.128555298,22.94921131,1.810195573,229.4921131 +13625,MN,923,35,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,305 1 AVENUE,C1-8A, , , , , , , , , ,N,I4,8,0, ,305 FIRST AVENUE NY O,1840,4132,600,3532,600,0,0,0,0,0,2,1,4,6,7,23,80,23,46, ,2,N,5,2,202050,480150,165681,379186,1910,1987,0, , ,2.25,7.52,2,7.5,1,1009230035,0,48,989453,206584,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,205.5305056,1701.808607,278100,5,0,13624,13628,8,1800,14.83555603,14.83555603,0,14.83555603,0,118.6844482 +13626,MN,696,49,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,516 WEST 25 STREET,M1-5, , , , , ,WCH, , , ,N,O3,5,0, ,TAN HOLDING CORP,19750,90436,90436,0,70603,19833,0,0,0,0,2,4,7,0,33,200,98.75,200,98.75, ,0,N,5,5,2250000,10680750,0,0,1958,2001,0, , ,4.58,0,5,6.5,1,1006960049,0,99,983008,212249,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,602.3524886,20158.65123,8430750,2,1,13625,13629,89,20025,8.451555252,9.670000076,1.218444824,8.672993231,0.178020331,771.8963976 +13627,MN,407,34,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,222 AVENUE B,C1-6A, , , , , , , , , ,N,S3,4,0,P,222 AVE B REALTY LLC,1995,4032,1000,3032,0,1000,0,0,0,0,2,1,4,3,4,21,95,21,48,E,0,N,5,5,17806,121146,0,0,1900,2009,0, , ,2.02,4,2,4,1,1004070034,0,34,990187,204915,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,241.5782801,2155.005796,103340,12,1,13626,13630,10,2250,11.62699986,11.67844391,0.051444054,11.63214426,0.015433216,116.3214426 +13628,MN,465,55,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,145 2 AVENUE,R7A,R8B, , ,C1-5, , , , , ,Y,D9,3,0, ,"SHOUT 1, LLC",4147,25341,3620,21720,0,3620,0,0,0,0,2,1,7,24,27,39.5,105,40,98, ,2,N,3,2,913500,4945500,0,0,1920,1987,0, , ,6.11,4,0,4,1,1004650055,0,40,987723,205032,12c, ,102 018,10205, ,0, ,1, , 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,17V1.1,0,361.1573813,7305.001125,3451950,3,0,13629,13633,32,7200,27.47999954,31.56599998,4.086000443,29.28920114,1.75971904,937.2544365 +13631,MN,742,22,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1B,319 WEST 18 STREET,R7B, , , , , , , , , ,N,D4,3,0, ,319 WEST 18 STREET OW,8010,33900,0,33900,0,0,0,0,0,0,2,1,6,60,60,87.5,92,88,80, ,3,N,5,2,346500,3642750,59000,59000,1928,1986,1998, , ,4.23,3,0,3,1,1007420022,0,89,983793,209930,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,362.0866596,8188.980585,3296250,7,0,13630,13634,36,8100,15.59444427,15.59444427,0,15.59444427,0,561.3999939 +13632,MN,29,24,101,9,1011,2,1,10004,L015,1,15,7700,1,1,1B,81 PEARL STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,"LOUISE PROPERTIES, IN",1885,7540,7540,0,0,4189,0,3351,0,0,2,1,4,0,1,21.25,79,21,79, ,3,Y,4,2,224100,506250,0,0,1900,0,0,Stone Street Historic District, ,4,10,15,15,1,1000290024,0,9,981383,195810,12b, ,101S002,10101, ,0, ,1, , 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,17V1.1,0,246.0431955,2300.418861,357300,9,0,13633,13637,9,2025,20.90555573,21.45922089,0.553665161,20.99892595,0.185670261,188.9903336 +13635,MN,174,20,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,89 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,L9,6,0,P,LORBER ENTERPRISES LL,2350,11200,6200,5000,0,2000,0,2200,0,2000,2,1,5,2,3,23.5,100,24,95,E,3,N,5,2,126450,1032750,0,0,1915,0,0,Tribeca East Historic District, ,4.77,6.02,6,6.5,1,1001740020,0,33,982871,200818,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,256.2380985,2420.771101,906300,14,0,13634,13638,11,2475,21.5755558,23.48555565,1.909999847,21.74919215,0.54908635,239.2411137 +13636,MN,491,7502,102,37,3006,2,3,10013,L008,1,15,6800,1,2, ,145 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,RB,5,0, , ,9375,60725,60725,0,60725,0,0,0,0,0,2,1,8,0,31,75,125,0,0, ,0,N,0,5,1259998,6088052,125994,608781,1910,0,0, , ,6.48,0,10,10,1,1004917502,1416,37,982879,203459,12a, ,11N 067,10206,E-288,1004910050,7/27/2005,1, , 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,17V1.1,7,297.4776585,2645.053242,1642500,2,0,13639,13643,11,2475,23.80555534,27.30444527,3.498889923,24.60022233,1.177957422,270.6024456 +13641,MN,913,41,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,244 EAST 33 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,BOLANOS PROPERTIES LL,1852,4220,0,4220,0,0,0,0,0,0,2,1,4,8,8,18.75,98.75,19,54, ,3,N,5,2,99648,384800,0,0,1940,1988,0, , ,2.28,4,0,4,1,1009130041,0,70,990598,210398,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,253.0541496,2145.620296,285152,10,0,13640,13644,9,2025,19.78333282,20.93555641,1.152223587,19.91135767,0.362108939,179.202219 +13642,MN,470,12,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,363 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,Y1,8,0,C,FIRE DEPARTMENT,2432,6540,6540,0,0,0,0,0,0,6540,2,2,4,1,2,23.83,103.5,24,103,E,3,N,5,0,281250,470250,281250,470250,1900,1988,0, ,FIRE ENGINE COMPANY 55,2.69,6.02,6,6.5,1,1004700012,0,41,985423,201524,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,261.8103914,2580.762251,189000,0,0,13641,13645,12,2700,28.80888939,36.50333405,7.694444656,29.80638917,2.337105761,357.6766701 +13643,MN,908,9,106,66,2001,2,2,10016,E016,13,14,5800,1,6,1B,207 EAST 27 STREET,R8B, , , , , , , , , ,N,D3,3,0,P,"CARALEX HOLDINGS, LLC",9217,38465,11300,27165,11300,0,0,0,0,0,2,1,9,79,82,93.33,98.75,89,97, ,3,N,5,2,1161000,7018200,0,0,1985,0,0, , ,4.17,4,0,4,1,1009080009,0,66,989659,209333,8d, ,104 008,10308, ,1009080011,1/8/1986,1, , ,17V1.1,0,387.2064331,9358.105916,5857200,11,0,13642,13646,42,9450,39.05888748,43.19666672,4.137779236,39.15740603,0.630826536,1644.611053 +13644,MN,741,7501,104,83,1000,2,3,10011,L012,10,15,5600,1,4, ,300 WEST 18 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,2292,8986,2679,6307,2679,0,0,0,0,0,2,1,6,4,5,38.17,60,38,60, ,0,N,0,5,54543,1500868,0,273749,2006,0,0, , ,3.92,4,2,4,1,1007417501,1739,83,983963,209696,8d,Y,103 037,10303, ,1007410038,8/31/2007,1, , ,17V1.1,7,209.5341132,2611.334305,1446330,7,0,13643,13647,13,2925,19.42666817,21.53777695,2.11110878,19.9816249,0.84213825,259.7611237 +13645,MN,145,16,101,21,1000,2,1,10013,E007,1,15,7700,1,1,3A,111 READE STREET,C6-3A, , , , , ,TMU, , , ,N,S4,4,0, ,RALPHSONS-READE LLC,1880,8800,1880,6920,0,1880,0,0,0,0,2,1,5,4,5,25,75.25,25,71, ,3,Y,5,5,230351,401897,0,0,1920,2008,0,Tribeca South Historic District, ,4.68,7.52,6,7.5,1,1001450016,0,21,981838,200042,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,205.3522985,2003.088918,171546,14,0,13644,13648,10,2250,21.27222252,22.43933296,1.167110443,21.38893356,0.350133133,213.8893356 +13646,MN,617,26,102,77,1001,2,3,10011,Q018,6,15,6100,1,2,3B,90 GREENWICH AVENUE,C1-6, , , , , , , , , ,N,C7,4,0, ,92 MANAGEMENT LLC C/O,2554,3521,1200,2321,0,1200,0,0,0,0,2,1,3,7,9,43.17,59.17,43,55, ,3,Y,5,2,299238,476710,0,0,1930,1988,1996,Greenwich Village Historic District, ,1.38,3.44,2,6.5,1,1006170026,0,77,983785,208102,8b,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,168.8238665,1207.492403,177472,8,0,13645,13649,5,1125,23.28222275,23.28222275,0,23.28222275,0,116.4111137 +13647,MN,885,58,106,72,4001,2,2,10016,E016,13,14,5300,1,6,2A,140 EAST 30 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,SARA'S STUDIOS LLC,1234,2536,0,2536,0,0,0,0,0,0,2,1,4,7,7,12.5,98.75,13,49, ,3,N,5,2,94298,364421,0,0,1900,0,0, , ,2.06,4,0,4,1,1008850058,0,72,989479,210137,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,225.8794575,1233.433978,270123,10,0,13646,13650,5,1125,30.56200027,30.56200027,0,30.56200027,0,152.8100014 +13648,MN,489,20,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,192 SPRING STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,CB FUNDING CORP,2500,13343,1000,12343,0,1000,0,0,0,0,2,1,6.5,15,17,25,100,25,87, ,3,N,5,2,175500,1438650,0,0,1900,2004,2005,Sullivan-Thompson Historic District, ,5.34,3.44,0,6.5,1,1004890020,0,47,983366,203374,12a, ,101N069,10206, ,0, ,1, , ,17V1.1,0,259.4447726,2618.067327,1263150,0,1,13647,13651,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +13649,MN,640,52,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,336 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"CLARK, JENNIFER",1930,5160,0,4128,0,0,0,0,0,0,2,2,4,1,1,24,80.42,24,43, ,3,N,5,1,108255,220800,0,0,1905,2010,2005,Greenwich Village Historic District, ,2.67,2.43,0,4.8,1,1006400052,0,79,982331,207917,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,215.3463395,2099.34705,112545,8,0,13648,13652,12,2700,11.96800041,14.95222187,2.984221458,12.4504633,1.079437605,149.4055595 +13650,MN,7,37,101,9,1016,2,1,10004,L015,1,15,7700,1,1,1B,58 PEARL STREET,C5-5, , , , , ,LM, , , ,N,P7,8,0, ,SONS OF THE REVOLUTIO,1885,9240,9240,0,0,3770,0,0,0,5470,2,1,5.5,0,2,29,66.92,29,66, ,3,Y,5,2,370800,979650,241020,636773,1900,0,0,Fraunces Tavern Block Historic District, ,4.9,10,15,15,1,1000070037,0,9,981149,195544,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,196.8776967,2019.322676,608850,17,1,13649,13653,8,1800,6.517333508,7.059999943,0.542666435,6.803722262,0.258917486,54.4297781 +13651,MN,776,15,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,239 WEST 26 STREET,C6-2A, , , , , , , , , ,N,C4,2,0,P,SANTOPASMO LLC,2475,4972,0,4972,0,0,0,0,0,0,2,1,4,9,9,24.83,98.75,25,78, ,3,Y,5,1,64661,302595,0,0,1901,0,0, , ,2.01,6.02,6,6.5,1,1007760015,0,95,985374,211410,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,250.5384008,2522.518923,237934,2,0,13650,13654,12,2700,26.70400047,26.70400047,0,26.70400047,0,320.4480057 +13652,MN,526,28,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,79 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,MACDOUGAL & SIXTH REA,3975,18634,2130,16504,0,2130,0,0,0,0,2,1,7,38,40,39.75,100,40,86, ,3,N,5,2,378000,3460950,0,2232740,1910,1988,2003,South Village Historic District, ,4.69,3.44,0,6.5,1,1005260028,0,65,983754,204816,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,280.6009327,4012.045661,3082950,9,0,13651,13655,18,4050,20.00333405,20.00333405,0,20.00333405,0,360.0600128 +13653,MN,772,18,104,91,4000,2,3,10011,L012,10,15,5200,1,4,1A,235 WEST 22 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,235 WEST 22ND STREET,19918,116586,26720,89866,0,0,26720,0,0,0,2,1,6,150,150,201.67,98.75,198,89, ,3,N,5,1,1917000,12237750,0,0,1974,0,0, , ,5.85,4,0,4,1,1007720018,0,91,985000,210396,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,599.2095208,19873.42035,10320800,2,0,13652,13656,89,20025,22.16600037,22.89800072,0.732000351,22.17422509,0.077154741,1973.506033 +13654,MN,281,8,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,20 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0,P,SETO AND CHING REALTY,1781,8080,8080,0,6300,1780,0,0,0,0,2,1,5,0,7,25,71.42,25,71, ,3,Y,5,2,135000,566550,0,0,1910,1979,0, , ,4.54,3.44,6,6.5,1,1002810008,0,8,985071,199291,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,195.8083725,1807.458083,431550,16,0,13653,13657,7,1575,33.92777634,33.92777634,0,33.92777634,0,237.4944344 +13655,MN,732,36,104,111,2005,2,3,10001,L021,10,15,5500,1,4,2B,433 9 AVENUE,C6-4, , , , , ,HY, , , ,N,O3,5,0,P,CBP 441 NINTH AVENUE,39779,350000,350000,0,320000,0,30000,0,0,0,2,1,8,0,2,197.5,201.42,190,191, ,2,Y,3,2,4500000,42428700,0,0,1962,2015,2012, , ,8.8,10,10,10,1,1007320036,0,111,985216,213955,8d, ,105S029,10302, ,0, ,1, , ,17V1.1,0,835.8220803,43457.62064,37928700,6,0,13654,13658,184,41400,45.70000076,49.41333389,3.71333313,45.79717464,0.504105796,8426.680134 +13656,MN,625,41,102,77,3006,2,3,10014,L005,6,15,6100,1,2,3B,17 8 AVENUE,C1-6, , , , , , , , , ,N,S2,4,0, ,"ANGELA KUEKEN, AS TRU",960,1800,600,1200,0,600,0,0,0,0,2,1,3,2,3,20,50.33,20,30,E,3,Y,5,5,27230,95899,1550,1550,1920,0,0,Greenwich Village Historic District, ,1.88,3.44,2,6.5,1,1006250041,0,77,982914,208083,12a,Y,103 016,10210, ,0, ,1, , ,17V1.1,0,140.7678545,992.8340015,68669,8,0,13655,13659,5,1125,17.76333427,17.76333427,0,17.76333427,0,88.81667137 +13657,MN,175,14,101,33,1003,2,1,10013,L001,1,15,7700,1,1,3A,275 CHURCH STREET,C6-2A, , , , , , , , , ,N,S9,4,0,P,SILKALY M. WOLCHOK L.,1884,7111,1778,5333,0,1778,0,0,0,0,2,1,4,3,5,25.08,75,25,75, ,3,N,5,5,105281,666269,0,0,1910,0,0,Tribeca East Historic District, ,3.77,6.02,6,6.5,1,1001750014,0,33,982915,201036,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,210.6174104,2007.623306,560988,14,0,13656,13660,9,2025,17.40222168,17.4046669,0.002445221,17.40249337,0.000768459,156.6224403 +13658,MN,634,34,102,75,2000,2,3,10014,L005,6,15,6400,1,2,2K,319 WEST 11 STREET,R6, , , , , , , , , ,N,C5,2,0, ,ESKENAS LINDA,1900,3636,0,3636,0,0,0,0,0,0,2,1,3,6,6,20,95,20,46, ,3,N,5,1,66894,207480,0,0,1910,0,0,Greenwich Village Historic District, ,1.91,2.43,0,4.8,1,1006340034,0,75,982258,207378,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,240.4687255,2125.122317,140586,8,0,13657,13661,8,1800,15.82699966,21.4422226,5.615222931,18.18030548,2.406351423,145.4424438 +13659,MN,793,58,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,134 WEST 18 STREET,C6-2A, , , , , , , , , ,N,K4,4,0,P,"DUTCHESS BINGO, LLC",2116,5290,5290,0,2116,3174,0,0,0,0,2,1,3,0,2,23,92,23,92, ,3,N,5,0,278100,863100,0,0,1920,2012,0, , ,2.5,6.02,6,6.5,1,1007930058,0,81,985200,208980,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,235.8291441,2250.457121,585000,7,0,13658,13662,9,2025,27.66555595,27.66555595,0,27.66555595,0,248.9900036 +13660,MN,885,84,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,108 EAST 30 STREET,C6-4A, , , , , , , , , ,N,C5,2,0, ,"BLACK LEAF GROUP, LLC",1975,4930,0,4930,0,0,0,0,0,0,2,1,4,7,7,20,98.75,20,66, ,3,N,5,2,55194,214207,0,0,1900,0,0, , ,2.5,10,10,10,1,1008850084,0,72,989029,210386,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,242.9520338,2035.715499,159013,10,0,13659,13663,9,2025,32.84000015,37.00888824,4.168888092,33.37296295,1.297111071,300.3566666 +13661,MN,281,4,103,27,1004,2,1,10038,E009,5,14,7800,1,3,1A,8 CATHERINE STREET,C6-1G, , , , , ,TA, , , ,N,O6,5,0, ,"8 CATHERINE ST, LLC",2660,17238,17238,0,12000,5238,0,0,0,0,2,1,8,0,3,62.5,60.58,62,60, ,2,Y,3,0,895500,2160000,0,0,2009,0,0, , ,6.48,3.44,6,6.5,1,1002810004,0,27,984930,199314,12d, , , , ,0, ,1, , ,17V1.1,0,231.8533101,3006.570048,1264500,16,0,13660,13664,14,3150,34.19499969,36.49000168,2.295001984,35.49495997,0.528635239,496.9294395 +13662,MN,624,51,102,77,4002,2,3,10014,L005,6,15,6100,1,2,3B,308 WEST 4 STREET,R6, , , , , , , , , ,N,B3,1,0, ,"PETRZELA, NATALIA",1140,3120,0,2340,0,0,0,0,0,0,2,1,3,2,2,20,57,20,39, ,3,N,5,1,46374,155251,0,0,1849,2007,0,Greenwich Village Historic District, ,2.74,2.43,0,4.8,1,1006240051,0,77,983147,207855,12a, ,103 016,10210, ,0, ,1, , ,17V1.1,0,157.1712767,1184.769046,108877,8,0,13661,13665,5,1125,20.58111191,22.88666725,2.305555344,21.49222298,1.116016895,107.4611149 +13663,MN,743,3,104,89,2000,2,3,10011,L012,10,15,5600,1,4,1B,152 9 AVENUE,C2-6A, , , , , , , , , ,N,S2,4,0, ,CHELSEA WEST PROPERTI,1369,4806,1372,3434,0,1372,0,0,0,0,2,1,4,2,3,22.08,62,22,49, ,3,N,5,2,26899,155892,0,0,1910,2009,2009,Chelsea Historic District, ,3.51,4,2,4,1,1007430003,0,89,983499,210387,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,173.0164422,1463.006113,128993,7,0,13662,13666,6,1350,15.57888889,15.57888889,0,15.57888889,0,93.47333336 +13664,MN,473,14,102,45,1003,2,1,10013,E055,5,15,6800,1,2,1A,486 BROADWAY,M1-5B, , , , , , , , , ,N,O5,5,0, ,VNO BROOME STREET LLC,4796,30031,20331,9700,6371,13831,0,129,0,0,2,2,6,3,16,48.17,99.33,48,98, ,0,Y,3,2,1080000,8563050,0,0,1900,2008,2013,SoHo-Cast Iron Historic District, ,6.26,0,5,6.5,1,1004730014,0,45,984331,202147,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,315.0619897,5475.993643,7483050,0,0,13663,13667,23,5175,20.99799919,26.69111061,5.69311142,21.8377771,1.683992135,502.2688732 +13665,MN,741,30,104,83,1000,2,3,10011,L012,10,15,5600,1,4,1A,301 WEST 17 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,301 W 17 LLC,2575,13788,2000,11788,0,2000,0,0,0,0,2,1,6,10,12,25,103,25,93, ,0,N,3,5,172350,2347650,0,0,1900,0,0, , ,5.35,4,2,4,1,1007410030,0,83,983869,209570,8b, ,103 037,10303, ,0, ,1, , ,17V1.1,0,267.0257648,2863.388536,2175300,7,0,13664,13668,13,2925,19.42666817,19.87199974,0.445331573,19.46092444,0.118667217,252.9920177 +13666,MN,298,7501,103,16,5001,2,1,10002,E015,7,14,7400,2,3, ,51 CANAL STREET,C6-2, , , , , , , , , ,N,RM,4,0, ,OWNER / AGENT,6769,25132,4541,20591,0,4541,0,0,0,0,2,1,10,41,47,45.25,99.83,0,89.4, ,0,Y,5,5,657021,3050107,22309,37761,1941,1987,0, , ,3.71,6.02,6,6.5,1,1002987501,583,16,986591,199814,12d, ,101N051,10107, ,1002980001,11/1/1988,1, , ,17V1.1,7,390.4699098,7138.125941,2393090,13,0,13665,13669,30,6750,37.64699936,40.54666901,2.899669647,37.99816628,0.897173973,1139.944988 +13667,MN,551,115,102,63,5000,2,1,10011,E033,6,15,5700,1,2,2A,6 MAC DOUGAL ALLEY,R6, , , , , , , , , ,N,A9,1,0, ,"DOWNEY, SUSAN E., M.D",950,1284,0,1284,0,0,0,0,0,0,2,1,2,1,1,27.5,35,27,24, ,1,Y,5,0,32917,104256,0,0,1900,0,0,Greenwich Village Historic District, ,1.35,2.43,0,4.8,1,1005510115,0,63,984780,206114,12c, ,103 018,10207, ,1005510015,3/14/2002,1, , ,17V1.1,0,130.0430245,1036.587776,71339,8,0,13666,13670,4,900,21.12199974,23.62111092,2.499111176,21.74677753,1.082146882,86.98711014 +13668,MN,283,6,103,6,1001,2,1,10002,E015,7,14,7800,1,3,1B,119 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C4,2,0, ,"GOLDEN HORSE REALTY,",2500,11000,0,11000,0,0,0,0,0,0,2,1,6,13,13,25,100,25,83, ,3,N,5,2,112500,476550,0,0,1900,1984,1986, , ,4.4,3.44,0,6.5,1,1002830006,0,6,986558,199214,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,261.921572,2695.439632,364050,16,0,13667,13671,11,2475,32.40222168,36.27111053,3.868888855,32.75393885,1.112227345,360.2933273 +13669,MN,407,35,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,220 AVENUE B,C1-6A, , , , , , , , , ,N,S9,4,0, ,"220 AVENUE B, LLC",2541,5251,1200,4051,0,0,0,0,0,1200,2,1,4,6,8,26.75,95,27,45, ,3,N,5,1,37418,144423,0,0,1920,0,0, , ,2.07,4,2,4,1,1004070035,0,34,990175,204893,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,253.3116552,2731.813095,107005,12,1,13668,13672,13,2925,11.62699986,12.36111069,0.734110832,11.75128189,0.240817965,152.7666645 +13670,MN,179,7504,101,33,3020,2,1,10013,E007,1,15,7700,3,1, ,5 WORTH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,2534,10422,3426,6996,0,0,0,0,0,3426,2,1,5,4,6,0.05,0,0,0, ,0,N,0,5,109166,1027530,0,0,1915,0,0,Tribeca West Historic District, ,4.11,6.02,6,6.5,1,1001797504,1072,33,981939,200966,12a, ,11S 035,10105, ,1001790010,3/24/2000,1, , ,17V1.1,7,254.4023412,2637.811536,918364,14,1,13669,13673,11,2475,10.17444515,10.17444515,0,10.17444515,0,111.9188967 +13671,MN,551,23,102,63,5000,2,1,10011,E033,6,15,5700,1,2,3A,20 WEST 8 STREET,C4-5,R6, , , , ,LC, , , ,Y,K1,5,0,P,16 WEST 8TH LLC,6483,6483,6483,0,0,6483,0,0,0,0,2,1,1,0,4,100,64.83,100,64, ,3,N,5,2,1044000,2448000,0,0,1967,0,0,Greenwich Village Historic District, ,1,3.44,3.4,6.5,1,1005510023,0,63,984926,206173,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,329.8508269,6478.533761,1404000,8,0,13670,13674,30,6750,22.1970005,23.53111076,1.33411026,22.33782628,0.374003546,670.1347885 +13672,MN,49,2,101,13,2000,2,1,10006,E010,1,15,7700,1,1, ,111 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,TRINITY CENTRE LLC.,18615,432093,432093,0,423593,8500,0,0,0,0,2,1,22,0,100,67.69,266.78,68,262, ,1,Y,3,2,7380000,39437550,0,0,1907,1989,2004, ,TRINITY BUILDING,23.21,10,15,15,1,1000490002,0,13,981023,197480,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,695.8699461,20726.27007,32057600,15,0,13671,13675,90,20250,21.77666664,35.26222229,13.48555565,23.66638527,2.504120268,2129.974674 +13673,MN,149,29,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,287 BROADWAY,C6-4A, , , , , , , , , ,N,K9,5,0, ,"NEW 379 BRIDGE, LLC",2404,14000,11200,2800,2400,2400,0,0,0,6400,2,1,6,4,9,25.17,96,25,95, ,2,N,3,2,436950,1372950,0,0,1915,2006,0, ,287 BROADWAY BUILDING,5.82,10,10,10,1,1001490029,0,21,982520,199662,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,258.2010206,2802.507279,936000,14,0,13672,13676,13,2925,29.82299995,33.69666672,3.873666763,30.38176918,1.313853803,394.9629993 +13674,MN,753,77,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,366 WEST 30 STREET,C6-2A, , , , , , , , , ,N,C5,2,0, ,366 WEST 30TH STREET,1975,2685,0,2685,0,0,0,0,0,0,2,1,3,18,18,20,98.75,20,52,E,3,N,5,2,25650,185850,0,0,1900,0,0, , ,1.36,6.02,6,6.5,1,1007530077,0,97,984845,212704,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,244.3913388,2195.883471,160200,6,0,13673,13677,11,2475,34.23199844,39.11888886,4.886890411,35.80900955,1.768026419,393.8991051 +13675,MN,939,7501,106,70,6000,2,2,10016,L007,17,14,5800,2,6, ,303 EAST 33 STREET,R8A,C1-9, , , , ,TA, , , ,Y,RM,4,0, ,KTL 303 LLC,17281,136099,16582,119517,0,0,0,0,0,16582,2,1,12,129,131,175,98.75,0,0, ,1,N,5,5,1906643,20898900,261875,9738448,2009,0,0, , ,7.88,6,0,6,1,1009397501,2156,70,991043,210333,8d, ,104 023,10309, ,1009390006,5/3/2010,1, , ,17V1.1,7,548.9042409,17483.16009,18992300,10,1,13674,13678,77,17325,10.03999996,18.07222176,8.032221794,12.95582967,2.588459974,997.5988846 +13676,MN,563,43,102,61,2000,2,2,10003,L003,6,15,5700,1,2,3A,63 EAST 11 STREET,C6-1, , , , , , , , , ,N,D3,3,0,P,"65 EAST 11TH STREET,",5562,23353,0,23353,0,0,0,0,0,0,2,1,6,42,42,54,103.25,54,94,E,3,N,5,1,580500,2643300,0,0,1970,1985,0, , ,4.2,3.44,6,6.5,1,1005630043,0,61,986440,206343,12c, ,103 025,10207, ,0, ,1, , ,17V1.1,0,321.944992,5825.76653,2062800,8,0,13675,13679,24,5400,36.55666733,40.54999924,3.993331909,37.25048192,1.183434186,894.0115662 +13677,MN,695,30,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,509 WEST 23 STREET,C6-3A, , , , , ,WCH, , , ,N,C0,2,0,P,RONNIE MC FADDEN,1480,3400,0,3400,0,0,0,0,0,0,2,1,4,3,3,20,74,20,37,E,2,N,5,2,56071,93193,5690,5690,1910,0,0, , ,2.3,7.52,6,7.5,1,1006950030,0,99,983012,211823,8b, ,105S003,10301, ,0, ,1, ,1,17V1.1,0,189.5972511,1449.955821,37122,2,1,13676,13680,6,1350,9.51099968,9.51099968,0,9.51099968,0,57.06599808 +13678,MN,770,8,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,245 WEST 20 STREET,R8B, , , , , , , , , ,N,HH,5,0,P,245 REALTY L.L.C. C/O,13187,26110,0,0,0,0,0,0,0,0,2,13,3,0,3,146.67,83.83,16,43, ,0,Y,5,2,1485000,2749050,0,0,1900,0,0, , ,1.98,4,0,4,1,1007700008,0,87,984532,210076,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,484.8446892,13459.08505,1264050,7,0,13677,13681,59,13275,22.20999908,23.59666634,1.386667252,22.36955879,0.318401222,1319.803968 +13679,MN,818,63,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,20 WEST 17 STREET,C6-4A, , , , , , , , , ,N,W9,8,0,X,CENTER FOR JEWISH HIS,3082,34938,34938,0,0,0,0,0,0,34938,2,1,12,0,2,33.5,92,34,92, ,2,N,5,2,958500,3478950,958500,3478950,1911,1987,0,Ladies' Mile Historic District, ,11.34,10,10,10,1,1008180063,0,54,986025,208245,8d, ,102 033,10306, ,0, ,1, , ,17V1.1,0,267.0474392,3375.941489,2520450,7,0,13678,13682,16,3600,31.11599922,37.09999847,5.983999252,32.17369378,2.204314891,514.7791004 +13680,MN,555,11,103,42,2001,1,2,10003,E033,9,14,6200,1,3,4B,59 4 AVENUE,C6-2A, , , , , , , , , ,N,D0,3,0,P,FOURTH AVE LOFT CORP,4822,36016,3410,32606,0,3410,0,0,0,0,2,1,8,14,15,25,240,22,150, ,2,Y,5,2,231750,3973500,4720,4720,1900,1980,0, , ,7.47,6.02,6,6.5,1,1005550011,0,42,987008,205476,12c, ,102 017,10207, ,0, ,1, , ,17V1.1,0,430.1291275,4694.150774,3741750,12,0,13679,13683,22,4950,38.18777847,38.18777847,0,38.18777847,0,840.1311264 +13681,MN,858,22,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1B,79 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0, ,79 MADISON LLC,14812,224449,224449,0,205239,16664,0,2546,0,0,2,1,16,0,24,98.75,150,99,150, ,1,N,3,0,11700000,28669950,0,0,1925,2011,0, , ,15.15,10,10,10,1,1008580022,0,74,988347,210353,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,510.6938985,15694.6673,16970000,11,0,13680,13684,70,15750,36.10889053,37.26111221,1.15222168,36.14535719,0.187398998,2530.175003 +13682,MN,526,34,102,65,3002,2,3,10012,L009,6,15,5700,1,2,2A,69 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,S5,4,0, ,MOSCONI RLTY NO 2,2000,3377,675,2702,0,675,0,0,0,0,2,1,4,5,6,20,100,20,64,E,2,N,5,5,69559,407128,0,0,1940,1982,0,South Village Historic District, ,1.69,3.44,0,6.5,1,1005260034,0,65,983694,204723,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,240.599701,2006.004163,337569,9,0,13681,13685,8,1800,20.00333405,20.00333405,0,20.00333405,0,160.0266724 +13683,MN,387,135,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,79 AVENUE C,R7A, , , ,C2-5, , , , , ,N,K9,5,0,P,79-87 AVENUE C LLC,8730,17690,10970,6720,0,10970,0,0,0,0,2,3,1,6,7,97,90,97,62, ,0,N,3,0,450000,1928250,0,0,1900,1980,0, , ,2.03,4,0,4,1,1003870135,0,2601,989882,202840,12c, ,102 013,10203,E-216,0, ,1, ,1,17V1.1,0,385.5982759,9277.119915,1478250,1,1,13682,13686,41,9225,8.204444885,9.028888702,0.824443817,8.258184689,0.192055236,338.5855722 +13684,MN,875,32,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,135 EAST 19 STREET,R8B, , , , , , , , ,LH-1,N,A1,1,0, ,CASSINI OLEG,1650,6798,0,5214,0,0,0,0,0,0,2,1,4,1,1,22,75,22,53,E,3,N,5,1,185378,329289,0,0,1901,0,0,Gramercy Park Historic District, ,4.12,4,0,4,1,1008750032,0,50,988223,207745,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,203.7691832,1816.447561,143911,5,0,13683,13687,9,2025,25.84222221,26.14944458,0.307222366,25.87635803,0.096550675,232.8872223 +13685,MN,613,47,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,212 WEST 11 STREET,C2-6, , , , , , , , , ,N,C3,2,0, ,"GATON, MICHELE",1048,2952,0,2952,0,0,0,0,0,0,2,1,3,4,4,19.42,54,19,38, ,3,N,5,5,191675,321725,0,0,1910,1975,0,Greenwich Village Historic District, ,2.82,3.44,2,6.5,1,1006130047,0,71,983770,207531,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,151.8993413,1037.201698,130050,8,0,13684,13688,5,1125,24.94000053,26.15877724,1.218776703,25.18375587,0.487510681,125.9187794 +13686,MN,575,42,102,63,2000,2,3,10011,L003,6,15,5700,1,2,3A,20 WEST 12 STREET,R6, , , , , , , , , ,N,C2,2,0,P,CASPER R CALLEN TRUST,2684,7227,0,7227,0,0,0,0,0,0,2,1,5,6,6,26,103.25,26,80,E,3,N,5,5,166209,622958,0,0,1900,0,0,Greenwich Village Historic District, ,2.69,2.43,0,4.8,1,1005750042,0,63,985459,207007,12c, ,103 020,10207, ,0, ,1, , ,17V1.1,0,260.9199054,2552.79226,456749,8,0,13685,13689,12,2700,24.42399979,29.88333321,5.45933342,25.33175913,2.029818313,303.9811096 +13687,MN,590,38,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,15 CORNELIA STREET,R6, , , , , , , , , ,N,C4,2,0, ,CORNELIA STREET ASSOC,2380,6740,0,6740,0,0,0,0,0,0,2,2,4,16,16,25.17,95.25,25,45, ,0,N,5,5,195300,1017900,0,0,1920,0,0,Greenwich Village Historic District Exte, ,2.83,2.43,0,4.8,1,1005900038,0,67,983711,205851,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,244.0317418,2397.146646,822600,9,0,13686,13690,12,2700,17.54000092,17.54000092,0,17.54000092,0,210.480011 +13688,MN,525,25,102,65,4000,2,3,10012,L009,6,15,5700,1,2,2A,108 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,JONIS REALTY /W HOUST,1700,6750,1080,5670,0,1080,0,0,0,0,2,1,5,7,10,25,68,25,68,E,3,N,3,2,128343,389039,0,0,1900,1988,0,South Village Historic District, ,3.97,3.44,0,6.5,1,1005250025,0,65,984097,204345,12c, ,103 007,10206, ,0, ,1, , ,17V1.1,0,191.0375146,1849.268601,260696,9,0,13687,13691,8,1800,23.62666702,23.62666702,0,23.62666702,0,189.0133362 +13689,MN,495,33,102,43,3005,2,1,10012,L020,5,15,6800,1,2,1G,229 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,D9,3,0,P,MULBERRY ASSOCIATES L,10000,67300,23561,43739,12400,11161,0,0,0,0,2,1,7,51,60,100.08,99.92,100,99, ,0,N,5,5,387450,11306700,0,0,1999,0,0, , ,6.73,6.02,6,6.5,1,1004950033,0,43,985278,202535,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,403.9825693,10193.94692,10919300,0,0,13688,13692,44,9900,37.57110977,37.57110977,0,37.57110977,0,1653.12883 +13690,MN,795,7502,104,87,1002,2,3,10011,L012,13,15,5600,1,4, ,130 WEST 20 STREET,C6-3A, , , , , , , , , ,N,R4,3,0, , ,4600,30769,0,30769,0,0,0,0,0,0,2,1,13,35,35,92,50,49.8,62, ,1,N,5,5,621004,4831204,0,1755636,2008,0,0, , ,6.69,7.52,6,7.5,1,1007957502,2031,87,985433,209408,8d, ,103 030,10305, ,1007950059,5/26/2009,1, , ,17V1.1,7,286.4073538,4575.573927,4210200,7,0,13689,13693,19,4275,27.66555595,30.93222237,3.266666412,28.35452662,1.103826134,538.7360058 +13691,MN,462,1,103,42,2004,1,2,10003,E033,9,14,6200,1,3,3B,41 COOPER SQUARE,C6-1, , , , , , , , , ,N,W6,8,0,C,DCAS,18175,180000,180000,0,0,3000,0,0,0,177000,2,1,2,0,1,181.75,100,0,100, ,1,N,1,0,2022300,55701000,2022300,55701000,2008,0,0, , ,9.9,3.44,6,6.5,1,1004620001,0,42,986949,204691,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,587.8801642,19959.60609,53678700,12,0,13690,13694,89,20025,39.14666748,41.20222092,2.055553436,39.34436001,0.458643377,3501.648041 +13692,MN,426,37,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,181 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,L8,6,0, ,"DEMARINIS,",2361,9861,7361,2500,2500,2361,0,0,0,2500,2,1,4,2,4,25,95.5,25,96, ,2,Y,5,2,159300,861750,0,0,1920,0,0, , ,4.18,7.52,6,7.5,1,1004260037,0,3601,986356,202185,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,248.7249636,2520.194508,702450,13,0,13691,13695,11,2475,41.51444626,41.6538887,0.139442444,41.52712284,0.040086884,456.7983513 +13693,MN,93,26,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1,1B,168 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,L9,6,0, ,MONPIKE CORP,885,4340,4340,0,0,975,0,3365,0,0,2,1,5,0,6,26.5,36.75,27,36, ,3,Y,3,2,107100,612000,0,0,1900,0,0, , ,4.9,10,10,10,1,1000930026,0,1501,982696,198039,12b, ,101S012,10103, ,0, ,1, , ,17V1.1,0,125.3224467,916.3367795,504900,4,0,13692,13696,3,675,25.50699997,25.50699997,0,25.50699997,0,76.52099991 +13694,MN,390,58,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,195 EAST 7 STREET,R8B, , , , , , , , , ,N,M1,8,0,X,AGLESIA APOSTOLICA PE,1380,3836,3836,0,0,0,0,0,0,3836,2,1,4,0,2,20,73,20,65,E,3,Y,5,2,49050,186750,49050,186750,1920,0,0, , ,2.78,4,0,4,1,1003900058,0,2602,989709,203373,12c, ,102 022,10203,E-216,0, ,1, ,1,17V1.1,0,186.5013081,1457.709841,137700,12,1,13693,13697,6,1350,9.445555687,10.46000004,1.014444351,9.765370369,0.45339961,58.59222221 +13695,MN,640,53,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,334 WEST 12 STREET,R6, , , , , , , , , ,N,A4,1,0, ,ROBERT A BOYAR,885,2820,0,2180,0,0,0,0,0,0,2,1,3,1,1,20,44.25,20,36, ,3,N,5,1,38328,115560,6900,6900,1899,0,0,Greenwich Village Historic District, ,3.19,2.43,0,4.8,1,1006400053,0,79,982354,207936,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,130.6039382,906.02452,77232,8,0,13694,13698,3,675,11.96800041,13.01000023,1.041999817,12.31533368,0.491203424,36.94600105 +13696,MN,888,27,106,72,5000,2,2,10016,L007,17,14,5300,1,6,2A,145 EAST 32 STREET,R8B,C6-2A, , , , , , , , ,Y,O3,5,0, ,175 VARICK STREET LLC,8646,101283,101283,0,101283,0,0,0,0,0,2,1,13,0,5,99.5,98.75,99.5,98.9, ,3,Y,5,2,3960000,17063550,0,0,1927,1989,0, , ,11.71,4,0,4,1,1008880027,0,72,989800,210720,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,400.1759432,8627.767176,13103600,10,0,13695,13699,39,8775,24.35555458,24.35555458,0,24.35555458,0,949.8666286 +13697,MN,923,54,106,48,6001,2,2,10003,E005,13,14,5900,1,6,1A,318 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,KRUPNIK JOEL,1560,3680,0,2760,0,0,0,0,0,0,2,1,3,2,2,20,78,20,46, ,3,N,5,1,84587,158428,0,0,1901,0,0, , ,2.36,3,0,3,1,1009230054,0,48,989161,206795,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,195.5174397,1539.75863,73841,5,0,13696,13700,7,1575,16.06999969,19.0466671,2.976667404,16.80079351,1.074619101,117.6055546 +13698,MN,390,11,103,26.02,2001,1,2,10009,L011,9,14,6700,1,3,4A,308 EAST 8 STREET,R8B, , , , , , , , , ,N,I7,8,0,P,CASA VICTORIA HOUSING,24484,97000,97000,0,0,0,0,0,0,97000,2,1,7,1,1,244,97.5,198,70, ,0,N,5,5,1178100,12052350,1178100,12052350,1996,0,0, , ,3.96,4,0,4,1,1003900011,0,2602,989847,203424,12c, ,102 022,10203, ,1003900011,9/22/1997,1, ,1,17V1.1,0,846.9963885,24550.43535,10874300,12,1,13697,13701,107,24075,8.826666832,11.30222225,2.47555542,10.11652124,0.485816528,1082.467772 +13699,MN,618,22,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,220 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,220 WEST INVESTORS LL,3288,8050,2000,6050,0,2000,0,0,0,0,2,1,5,17,18,25,103.25,25,75,E,3,N,5,2,675000,1441350,0,0,1920,1987,0, , ,2.45,6.02,6,6.5,1,1006180022,0,77,983950,208453,8b,Y,103 031,10209, ,0, ,1, , ,17V1.1,0,259.1279289,2593.947081,766350,8,0,13698,13702,12,2700,22.30444527,25.26444435,2.959999084,22.55111186,0.818100529,270.6133423 +13700,MN,912,26,106,70,2000,2,2,10016,L007,17,14,5800,1,6,2A,247 EAST 31 STREET,C1-8A,R7B, , , , , , , , ,Y,C7,4,0, ,MARCHI RLTY CORP,5728,12432,3554,8878,0,3554,0,0,0,0,2,8,4,28,29,58,98.75,58,63,E,3,Y,5,2,270000,1557000,0,0,1910,0,0, , ,2.17,7.52,2,7.5,1,1009120026,0,70,990458,210060,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,312.1391233,4715.716779,1287000,10,0,13699,13703,21,4725,26.45000076,29.41555595,2.965555191,27.0317995,1.049389911,567.6677895 +13701,MN,387,141,103,26.01,2000,1,2,10009,E028,9,14,6700,1,3,3A,73 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C6,2,0,P,AVE C HOUSING DEVELOP,3276,16747,1000,15747,1000,0,0,0,0,0,2,1,6,16,18,36.33,90,36,72, ,3,Y,5,2,180000,870750,180000,617691,1920,1980,0, , ,5.11,4,0,4,1,1003870141,0,2601,989831,202748,12c, ,102 013,10203, ,0, ,1, ,1,17V1.1,0,262.5888425,3534.359331,690750,1,1,13700,13704,14,3150,8.204444885,9.021110535,0.816665649,8.31301621,0.266805399,116.3822269 +13702,MN,962,7501,106,62,1000,2,4,10016,E016,17,14,6000,2,6, ,433 EAST 30 STREET,R8, , , , , , , , , ,N,RA,8,0,X,NYU HOSPITALS CENTER,362642,1153372,1153372,0,0,0,0,0,0,1153372,2,7,5,0,107,970,607,0,0, ,0,Y,0,5,76690712,421217987,76690712,421217987,1900,0,0, , ,3.18,6.02,0,6.5,1,1009627501,1056,62,991708,209777,8d, ,104 025,10310,R-197,1009620008,4/1/1999,1,1,1,17V1.1,7,4219.443443,314554.6791,344527008,10,1,13701,13705,1401,315225,6.549999714,24.70000076,18.15000105,10.7501184,2.580528942,15060.91588 +13703,MN,585,53,102,73,3001,2,3,10014,E024,6,15,6400,1,2,2B,111 BEDFORD STREET,R6,C1-6, , , , , , , , ,Y,A5,1,0, ,"BRADBURN, JAMES",882,2520,0,1890,0,0,0,0,0,0,2,1,3,1,1,18.08,52.67,18.08,35, ,2,Y,5,1,37174,145875,0,0,1899,2005,0,Greenwich Village Historic District, ,2.86,2.43,0,4.8,1,1005850053,0,73,982618,206289,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,133.8762629,863.8249506,108701,9,0,13702,13706,4,900,20.9109993,21.98444366,1.073444366,21.17936039,0.464815045,84.71744156 +13704,MN,872,69,105,50,3000,2,2,10003,L003,13,14,5300,1,5,1B,112 EAST 17 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,NEW 1804 WASH CORP,4600,21335,0,21335,0,0,0,0,0,0,2,1,6,12,12,50,92,50,82, ,3,N,5,2,232200,1461150,0,0,1910,1985,0,East 17th Street/Irving Place Historic D, ,4.64,4,0,4,1,1008720069,0,50,987544,207403,12c, ,102 035,10307, ,0, ,1, , ,17V1.1,0,290.8749716,4775.802619,1228950,5,0,13703,13707,21,4725,35.47555542,38.74222183,3.266666412,35.82867704,0.883741949,752.4022179 +13705,MN,746,7501,104,93,2001,2,3,10011,L012,10,15,5200,2,4, ,358 WEST 23 STREET,C1-6A, , , , , , , , , ,N,RM,4,0,P,358 W 23RD ST CONDOMI,2469,7558,3900,3658,0,3900,0,0,0,0,2,1,1,6,7,0.05,0,0,0, ,0,N,5,5,56623,972028,2360,2360,1910,1981,0, , ,3.06,4,2,4,1,1007467501,76,93,983999,211069,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,7,263.050906,2712.079213,915405,2,0,13704,13708,12,2700,15.97222233,17.27555466,1.303332329,16.08083336,0.360222026,192.9700003 +13706,MN,745,22,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,323 WEST 21 STREET,R7B, , , , , , , , , ,N,C0,2,0,P,"LIEBOWITZ, MICHAEL R",2500,7100,0,7100,0,0,0,0,0,0,2,1,4,3,3,25,100,25,100,E,3,N,5,2,53542,124416,0,0,1865,0,0, , ,2.84,3,0,3,1,1007450022,0,89,984109,210596,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,259.3522566,2737.586708,70874,7,0,13705,13709,12,2700,15.97222233,19.76000023,3.787777901,16.28787049,1.046886507,195.4544458 +13707,MN,885,12,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,113 EAST 29 STREET,C4-5A, , , , , , , , , ,N,S4,4,0, ,113 EAST 29 REALTY LL,1975,5240,1200,4040,0,1200,0,0,0,0,2,1,5,4,5,20,98.75,20,60, ,3,N,5,2,150105,579388,0,0,1920,2003,2011, , ,2.65,4,4,4,1,1008850012,0,72,989055,210256,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,241.4054912,1996.662515,429283,11,0,13706,13710,9,2025,32.84000015,32.84000015,0,32.84000015,0,295.5600014 +13708,MN,520,25,102,37,2002,2,3,10014,E024,1,15,6800,1,2,1B,201 WEST HOUSTON STREET,R6, , , , , , , , , ,N,C0,2,0, ,ROBERT BORRE & COMPAN,1230,2808,0,2034,0,0,0,0,0,0,2,1,3,3,3,18.92,65,18.92,65, ,3,N,5,1,37162,101456,0,0,1899,0,0, , ,2.28,2.43,0,4.8,1,1005200025,0,37,983132,204617,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,169.8220556,1294.159674,64294,9,0,13707,13711,5,1125,16.76099968,18.52555656,1.764556885,17.24393349,0.688502941,86.21966743 +13709,MN,422,62,103,36.01,2000,1,1,10002,L018,5,14,6500,1,3,2A,233 ELDRIDGE STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,DANMOR REALTY CORP,3725,14940,2000,12940,0,2000,0,0,0,0,2,1,6,22,24,37.25,100,37,84, ,3,N,5,2,225000,775800,0,0,1900,1987,0, , ,4.01,4,4,4,1,1004220062,0,3601,987007,202485,12c, ,102 002,10204, ,0, ,1, , ,17V1.1,0,281.1764852,3877.531301,550800,1,0,13708,13712,16,3600,36.93666458,38.24777985,1.311115265,37.07360935,0.370250185,593.1777496 +13710,MN,608,60,102,71,2000,2,3,10011,Q018,6,15,6100,1,2,3B,137 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0, ,CENTRENTSET CORP 45,12906,52200,0,52200,0,0,0,0,0,0,2,3,6,105,105,125,103.25,42,90, ,3,N,5,2,895500,4804650,93545,93545,1900,1987,0,Greenwich Village Historic District, ,4.04,2.43,0,4.8,1,1006080060,0,71,984491,207726,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,464.569677,13410.54242,3909150,8,0,13709,13713,60,13500,24.04400063,24.67777824,0.633777618,24.0588673,0.08709113,1443.532038 +13711,MN,900,9,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,209 EAST 19 STREET,R8B, , , , , , , , , ,N,D8,3,0,P,227 EAST 19TH STREET,34031,372500,0,372500,0,0,0,0,0,0,2,1,17,140,140,195.22,184,176,92,E,1,Y,4,2,17534250,27822150,0,0,1920,1974,2013, , ,10.95,4,0,4,1,1009000009,0,64,988724,207528,12c, ,102 047,10308, ,1009000009,7/21/2005,1, , ,17V1.1,0,771.5262368,34461.94441,10287900,5,0,13710,13714,153,34425,20.76499939,26.52000046,5.755001068,22.08600322,1.64523786,3379.158493 +13712,MN,696,65,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,210 11 AVENUE,C6-3, , , , , ,WCH, , , ,N,O3,5,0,P,"ONBAR,",9875,108081,108081,0,108081,0,0,0,0,0,2,1,11,0,31,98.75,100,98.75,100, ,3,N,3,2,1665000,10834650,0,0,1911,1989,2004,West Chelsea Historic District, ,10.94,7.52,6,10,1,1006960065,0,99,982614,212466,8b, ,105S003,10301,E-142,0, ,1,1,1,17V1.1,0,401.9307799,10096.43667,9169650,2,1,13711,13715,44,9900,8.569999695,10.23555565,1.665555954,8.679418651,0.25233214,381.8944206 +13713,MN,426,27,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,201 CHRYSTIE STREET,C6-3A, , , , , , , , , ,N,K2,5,0,P,201 CHRYSTIE ST CORP,2500,5000,5000,0,0,5000,0,0,0,0,2,1,2,0,1,25,100,25,100, ,3,N,5,2,343800,632700,0,0,1900,0,0, , ,2,7.52,6,7.5,1,1004260027,0,3601,986445,202420,12c, ,102 001,10204,E-216,0, ,1, , ,17V1.1,0,252.2420131,2388.173268,288900,13,0,13712,13716,11,2475,41.51444626,41.51444626,0,41.51444626,0,456.6589088 +13714,MN,391,22,103,26.02,2000,1,2,10009,L011,9,14,6700,1,3,4A,630 EAST 9 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,630 EAST 9TH STREET R,2583,10185,0,10185,0,0,0,0,0,0,2,1,5,22,22,27.5,93.92,28,80, ,2,N,5,1,90000,1476900,0,0,1910,2009,0, , ,3.94,4,0,4,1,1003910022,0,2602,990042,203605,12c, ,102 022,10203, ,0, ,1, ,1,17V1.1,0,247.8864979,2662.507173,1386900,12,1,13713,13717,12,2700,8.318888664,8.318888664,0,8.318888664,0,99.82666397 +13715,MN,907,101,106,66,3000,2,2,10010,E016,13,14,5800,1,6,1B,207 EAST 26 STREET,C2-8,R8B, , , , , , , , ,Y,S4,4,0, ,NEW GREENLIN HOLDIN,672,1800,700,1100,300,400,0,0,0,0,2,1,4,4,5,25.42,24.67,25,25, ,2,N,5,5,96526,226196,0,0,1910,0,0, , ,2.68,10,2,10,1,1009070101,0,66,989454,209110,8d, ,104 008,10308, ,1009070101,12/18/1986,1, , ,17V1.1,0,107.1932144,718.0544374,129670,11,0,13714,13718,3,675,35.85699844,35.85699844,0,35.85699844,0,107.5709953 +13716,MN,146,1,101,33,2011,2,1,10013,E007,1,15,7700,1,1,3A,92 READE STREET,C6-2A, , , , , , , , , ,N,D2,3,0, ,"ONLY PROPERTIES, LLC",1525,7425,1500,5925,0,1500,0,0,0,0,2,1,5,4,5,25.17,61,24,58, ,3,Y,5,5,59699,415829,0,0,1930,1988,2016,Tribeca South Historic District, ,4.87,6.02,6,6.5,1,1001460001,0,33,982096,200034,12a, ,101S017,10104, ,0, ,1, , ,17V1.1,0,182.6875082,1660.483108,356130,14,0,13715,13719,7,1575,16.87777901,16.87777901,0,16.87777901,0,118.144453 +13717,MN,502,23,102,49,2002,2,1,10012,L020,1,15,6800,1,2,1A,152 PRINCE STREET,M1-5A, , , , , , , , , ,N,C7,4,0, ,436 REALTY LLC,4842,22637,3020,19617,0,3020,0,0,0,0,2,1,6,40,43,47.83,101.25,44,98, ,3,Y,3,2,535500,10038600,0,0,1907,1986,2016,SoHo-Cast Iron Historic District Extensi, ,4.68,0,5,6.5,1,1005020023,0,49,983911,203667,12a,Y,101N071,10206, ,0, ,1, , ,17V1.1,0,303.4830219,4993.493428,9503100,0,0,13716,13720,23,5175,12.81888866,20.04333305,7.224444389,13.43642496,1.982100913,309.0377741 +13718,MN,7,7501,101,9,1016,2,1,10004,L015,1,15,7700,1,1, ,1 COENTIES SLIP,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,66 PEARL STREET HOLDI,7780,44097,11254,32843,0,7200,0,4054,0,0,2,1,6,42,43,106,74.42,106,36, ,0,Y,5,5,1741500,6286500,0,0,1880,0,0,Fraunces Tavern Block Historic District, ,5.67,10,15,15,1,1000077501,735,9,981261,195554,12b, ,101S002,10101, ,1000070023,12/12/1990,1,1,1,17V1.1,7,378.2269112,8522.477593,4545000,17,1,13717,13721,37,8325,6.511111259,8.183333397,1.672222137,6.969780922,0.303760941,257.8818941 +13719,MN,205,19,102,41,4002,2,1,10013,L006,5,15,6800,1,2,1A,119 MOTT STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,119 VM LLC,2531,9697,1939,7758,0,1939,0,0,0,0,2,3,5,14,16,25.33,100,25,52, ,0,N,3,5,103050,1399050,0,0,1910,1989,0, , ,3.83,6.02,6,6.5,1,1002050019,0,41,984968,200814,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,259.1703447,2756.468354,1296000,0,0,13718,13722,13,2925,31.4109993,36.16555405,4.754554749,32.4212557,1.634881267,421.4763241 +13720,MN,851,49,105,56,2001,2,2,10010,E014,13,15,5700,1,5,1O,40 EAST 23 STREET,C6-4M, , , , , , , , , ,N,O5,5,0, ,CEECEE ASSOCIATES LLC,2271,9126,5476,3650,3314,2162,0,0,0,0,2,1,5,0,6,23,98.75,23,94,E,3,N,5,2,420750,1222200,0,0,1925,2010,0, , ,4.02,10,10,10,1,1008510049,0,56,987751,208987,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,254.1120803,2355.499346,801450,11,0,13719,13723,10,2250,32.49111176,32.49111176,0,32.49111176,0,324.9111176 +13721,MN,792,43,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,108 WEST 17 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,"WASSFAM,LLC",2300,9300,1500,7800,0,1500,0,0,0,0,2,1,5,10,12,25,92,25,68, ,3,N,5,2,89100,1416600,0,0,1920,1980,0, , ,4.04,6.02,6,6.5,1,1007920043,0,81,985289,208649,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,237.9927667,2376.866754,1327500,7,0,13720,13724,9,2025,27.66555595,27.66555595,0,27.66555595,0,248.9900036 +13722,MN,311,1,103,14.01,1001,2,1,10002,E015,7,14,7400,1,3,1B,57 ESSEX STREET,PARK, , , , , , , , , ,N,Q1,9,0,C,PARKS AND RECREATION,132500,5608,5608,0,0,0,0,0,0,5608,2,1,1,0,1,380,420,112,50, ,1,Y,3,1,6210000,7526700,6210000,7526700,1935,1989,0, , ,0.04,0,0,0,1,1003110001,0,1401,987222,199702,12d, ,101N052,10107, ,0, ,1, , ,17V1.1,0,1575.564137,133927.7377,1316700,13,0,13721,13725,594,133650,26.12333298,35.99000168,9.866668701,31.97050692,1.816693098,18990.48111 +13723,MN,790,45,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,112 WEST 15 STREET,C6-2A, , , , , , , , , ,N,C1,2,0, ,112 WEST 15 REALTY LL,1665,4932,0,4932,0,0,0,0,0,0,2,2,4,9,9,20,83.25,20,68, ,0,N,5,5,42260,287875,0,0,1920,2009,0, , ,2.96,6.02,6,6.5,1,1007900045,0,81,985037,208212,8d, ,103 028,10305, ,0, ,1, , ,17V1.1,0,216.1999312,1855.385188,245615,7,0,13722,13726,8,1800,27.73777771,30.42955589,2.691778183,28.07424998,0.890221957,224.5939999 +13724,MN,783,1,105,101,1002,2,3,10001,L024,14,15,5200,1,5,1H,460 8 AVENUE,C6-4, , , , , ,MID, , , ,N,K1,5,0,P,KORPENN LLC,10360,14145,14145,0,0,14145,0,0,0,0,2,1,1,0,1,197.5,52.42,125,45, ,2,N,3,2,1818000,5238900,0,0,1967,0,0, , ,1.37,10,10,10,1,1007830001,0,101,986056,213153,8d, ,105S022,10304, ,0, ,1, , ,17V1.1,0,506.8207395,10877.4795,3420900,6,0,13723,13727,48,10800,33.83333206,35.2266655,1.393333435,34.49046405,0.217696141,1655.542274 +13725,MN,149,12,101,21,1003,2,1,10007,L001,1,15,7700,1,1,3A,97 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,D7,4,0,P,DEE &DEE/CHAMBERS STI,7223,43338,7223,28892,0,7223,0,0,0,0,2,1,5,16,17,45.27,150.79,45,150, ,3,Y,4,2,594000,4274100,0,0,1885,1991,0,Tribeca South Historic District, ,6,7.52,6,7.5,1,1001490012,0,21,982185,199789,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,417.1512305,7758.765235,3680100,14,0,13724,13728,35,7875,29.54444504,29.82299995,0.278554916,29.81263809,0.048080139,1043.442333 +13726,MN,78,7506,101,15.02,1003,2,1,10038,E006,1,15,7700,1,1, ,102 FULTON STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, ,THE 102-104 FULTON ST,3992,26923,4309,22614,0,3860,0,449,0,0,2,1,9,14,17,49.67,81,50,78, ,0,Y,5,5,899999,3460049,9440,9440,1910,2003,0, , ,6.74,10,10,10,1,1000787506,1329,1502,982350,197785,12b, ,11S 011,10102, ,1000780021,12/24/2003,1, , ,17V1.1,7,261.860578,4038.80761,2560050,4,0,13725,13729,18,4050,28.83300018,31.43333244,2.60033226,29.09328408,0.694722189,523.6791134 +13727,MN,553,36,102,63,5001,2,1,10011,E033,6,15,5700,1,2,2A,113 WAVERLY PLACE,R6, , , , , , , , , ,N,C0,2,0, ,RINALDI JOSEPH,2325,5570,0,5570,0,0,0,0,0,0,2,1,4,3,3,23.25,100,23,66,E,3,N,5,1,90862,228592,0,0,1900,0,0,Greenwich Village Historic District, ,2.4,2.43,0,4.8,1,1005530036,0,63,984508,206216,12c, ,103 018,10207, ,0, ,1, , ,17V1.1,0,251.6247277,2427.858636,137730,8,0,13726,13730,10,2250,17.50333405,18.10599899,0.602664948,17.95919933,0.240811643,179.5919933 +13728,MN,939,51,106,70,6000,2,2,10016,L007,17,14,5800,1,6,2A,316 EAST 34 STREET,C1-9A, , , , , , , , , ,N,C4,2,0, ,"L. WAY TRANSACTION,LL",2345,9270,0,9270,0,0,0,0,0,0,2,1,5,20,20,23.75,98.75,24,82, ,3,N,5,2,128700,990900,0,0,1940,1988,0, , ,3.95,10,2,10,1,1009390051,0,70,991137,210396,8d, ,104 023,10309, ,0, ,1, , ,17V1.1,0,248.1215556,2301.164432,862200,10,1,13727,13731,11,2475,10.03999996,14.71555519,4.675555229,10.46505044,1.344127623,115.1155548 +13729,MN,466,14,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,210 EAST 11 STREET,R8B, , , , , , , , , ,N,C2,2,0, ,"HENDERSON III, ISAAC",1710,5400,0,5400,0,0,0,0,0,0,2,1,4,5,5,18,95,18,63, ,3,N,5,5,279931,380541,0,0,1900,1966,0, , ,3.16,4,0,4,1,1004660014,0,40,987564,205541,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,238.4986064,1822.475808,100610,12,0,13728,13732,7,1575,32.08111191,32.08111191,0,32.08111191,0,224.5677834 +13730,MN,643,66,102,79,3000,2,3,10014,L005,6,15,6100,1,2,3B,73 HORATIO STREET,R6, , , , , , , , , ,N,W8,8,0, ,WEST VILLAGE NURSERY,1949,4257,4257,0,4257,0,0,0,0,0,2,1,3,2,3,23,84.75,23,40, ,3,N,5,1,257850,750150,128925,375075,1900,1984,0,Greenwich Village Historic District, ,2.18,2.43,0,4.8,1,1006430066,0,79,982259,208492,8b, ,103 014,10210, ,0, ,1, , ,17V1.1,0,220.1970126,2085.876162,492300,8,1,13729,13733,12,2700,11.21500015,12.57999992,1.364999771,11.63370387,0.593854051,139.6044464 +13731,MN,510,26,102,43,1004,2,1,10012,L020,5,15,6800,1,2,1G,49 PRINCE STREET,M1-5B, , , , , , , , , ,N,C7,4,0, ,49 PRINCE LLC,3850,16388,600,15788,0,600,0,0,0,0,2,1,6,27,30,50,80,50,68, ,3,N,5,2,295650,3559950,0,0,1915,2015,0, , ,4.26,0,5,6.5,1,1005100026,0,43,985397,202910,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,264.9526209,4086.490405,3264300,0,0,13730,13734,19,4275,38.26333237,38.26333237,0,38.26333237,0,727.003315 +13732,MN,898,48,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,214 EAST 18 STREET,R7B, , , , , , , , , ,N,B9,1,0, ,"HESS, ANNE HELEN",2300,5000,0,3750,0,0,0,0,0,0,2,1,3,2,2,25,92,25.83,92.83,E,2,N,5,1,78960,199065,0,0,1901,0,0,Stuyvesant Square Historic District, ,2.17,3,0,3,1,1008980048,0,48,988498,207154,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,242.2564443,2453.379939,120105,5,0,13731,13735,11,2475,22.7840004,28.21555519,5.431554794,24.82672743,2.31201563,273.0940018 +13733,MN,594,72,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,40 RENWICK STREET,C6-2A, , , , , , , , , ,N,D5,3,0,P,GELLCARN INVESTORS CO,3005,29654,2959,26695,0,0,0,2959,0,0,2,1,8,6,7,50.08,60,50.08,60, ,3,N,5,2,382731,1281290,0,0,1920,0,0, , ,9.87,6.02,6,6.5,1,1005940072,0,37,981974,203608,12a, ,101N063,10208,E-116,0, ,1, , ,17V1.1,0,220.5387466,3001.021449,898559,0,1,13732,13736,12,2700,9.168000221,9.168000221,0,9.168000221,0,110.0160027 +13734,MN,850,7503,105,56,3000,2,2,10010,E014,13,15,5700,1,5, ,280 PARK AVENUE SOUTH,M1-5M,C6-4A, , , , , , , , ,Y,RM,4,0,P,GRAMERCY PLACE CONDO,20275,253543,29764,223779,12685,17079,0,0,0,0,2,1,27,258,261,0.46,205,0,0, ,0,N,5,5,5998505,47464202,74800,74800,1986,0,0, , ,12.51,0,5,6.5,1,1008507503,459,56,987723,208711,8d, ,102 044,10306, ,1008500044,12/31/1987,1, , ,17V1.1,7,620.8287171,21503.39366,41465700,11,0,13733,13737,95,21375,33.16222,35.97777939,2.815559387,35.48092266,0.43874542,3370.687653 +13735,MN,164,53,103,29,4000,2,1,10013,E009,5,15,7700,1,3,1A,5 MOTT STREET,C6-1, , , , , ,TA, , , ,N,K4,4,0,P,ENG SUEY SUN FAMILYRL,2300,10700,6100,4600,2300,3800,0,0,0,0,2,1,4,2,6,25,97.67,25,98, ,3,Y,5,2,202500,652950,0,0,1910,1989,0, , ,4.65,3.44,6,6.5,1,1001640053,0,29,984541,199351,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,246.0188896,2381.646869,450450,16,0,13734,13738,10,2250,25.58300018,27.54277802,1.959777832,25.77897797,0.58793335,257.7897797 +13736,MN,537,36,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,149 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,K4,4,0, ,149 BLEECKER STREETLI,2870,7088,5316,1772,0,5316,0,0,0,0,2,1,4,2,4,28.58,100,28.58,90, ,3,N,5,1,388350,1614600,0,0,1910,0,0,South Village Historic District, ,2.47,3.44,0,6.5,1,1005370036,0,65,984462,204673,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,261.8027257,2976.657891,1226250,9,0,13735,13739,14,3150,27.39777756,27.39777756,0,27.39777756,0,383.5688858 +13737,MN,913,24,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,247 EAST 32 STREET,R8B, , , , , , , , , ,N,C3,2,0, ,247 HIGH LLC,1761,3694,0,3694,0,0,0,0,0,0,2,1,3,4,4,17.83,98.75,18,46,E,3,N,5,5,204136,342388,0,0,1920,1982,0, , ,2.1,4,0,4,1,1009130024,0,70,990555,210306,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,226.8529818,1679.035518,138252,10,0,13736,13740,8,1800,22.72100067,24.88222122,2.161220551,23.41576409,0.906958657,187.3261127 +13738,MN,637,7505,102,75,1008,2,3,10014,L005,6,15,6400,2,2, ,165 CHARLES STREET,C1-7,R6A, , ,C1-5, , , , , ,Y,RM,4,0, , ,12443,66871,5017,61854,0,1673,0,3344,0,0,2,1,16,29,30,136.33,101.9,103.92,92, ,0,Y,0,5,4036498,9435780,0,1789393,2004,0,0, , ,5.37,6.02,2,6.5,1,1006377505,1453,75,981559,206731,12a, ,103 011,10210, ,1006370001,12/28/2005,1,1,1,17V1.1,7,461.5646903,12951.63007,5399280,9,1,13737,13741,59,13275,7.427777767,10.61999989,3.192222118,9.654785181,0.818718079,569.6323256 +13739,MN,466,18,103,40,3000,1,2,10003,E033,9,14,6200,1,3,4B,218 EAST 11 STREET,R8B, , , , , , , , , ,N,C1,2,0, ,"NIKA, LLC",4085,17136,0,17136,0,0,0,0,0,0,2,1,6,24,24,43,95,43,84, ,0,Y,5,2,296100,1099800,0,0,1920,1985,0, , ,4.19,4,0,4,1,1004660018,0,40,987637,205500,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,289.5070055,4376.168167,803700,12,0,13738,13742,20,4500,32.08111191,36.04777908,3.966667175,32.59803963,1.107069718,651.9607925 +13740,MN,135,18,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,96 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,S9,4,0, ,"ONLY PROPERTIES, LLC",1890,8342,1500,6842,0,1500,0,0,0,0,2,1,5,4,6,25.17,75.08,25,75, ,0,Y,5,5,118283,766203,0,0,1915,0,0, , ,4.41,7.52,6,7.5,1,1001350018,0,21,982127,199616,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,206.340558,1987.023339,647920,3,0,13739,13743,9,2025,30.9822216,32.66199875,1.679777145,32.47535684,0.527903027,292.2782116 +13741,MN,640,47,102,79,3003,2,3,10014,L005,6,15,6100,1,2,3B,344 WEST 12 STREET,R6, , , , , , , , , ,N,D4,3,0, ,344 WEST 12TH STREET,5790,22530,0,22530,0,0,0,0,0,0,2,1,6,47,47,72,80.42,72,64, ,3,N,5,1,495000,2247300,12210,12210,1925,1987,0,Greenwich Village Historic District, ,3.89,2.43,0,4.8,1,1006400047,0,79,982235,207918,12a, ,103 013,10210, ,0, ,1, , ,17V1.1,0,308.2098604,5911.393786,1752300,8,0,13740,13744,30,6750,11.96800041,14.51000023,2.541999817,12.45461505,0.764252997,373.6384516 +13742,MN,765,15,104,81,5000,2,3,10011,L012,10,15,5600,1,4,1A,239 WEST 15 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,VILLAGE REALTY PARTNE,2509,9645,400,9245,0,400,0,0,0,0,2,1,5,21,22,24.25,103.25,24,88, ,3,Y,5,1,243000,1170000,0,0,1901,0,0, , ,3.84,4,0,4,1,1007650015,0,81,984057,208927,8d, ,103 032,10304, ,0, ,1, , ,17V1.1,0,257.9976527,2490.974448,927000,7,0,13741,13745,10,2250,22.05333328,24.83222198,2.778888702,22.33122215,0.833666611,223.3122215 +13743,MN,809,62,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,130 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,K4,4,0, ,STAHL 130 WEST 34THST,4937,22500,22500,0,3000,10500,0,0,0,9000,2,1,5,0,1,50,98.75,50,96,E,3,N,5,2,2749500,15494850,0,0,1960,0,0, , ,4.56,10,15,15,1,1008090062,0,101,987194,212582,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,307.6642509,5220.803435,12745400,6,0,13742,13746,22,4950,41.24700165,43.56222153,2.315219879,41.4032591,0.525831088,910.8717003 +13744,MN,804,67,105,95,1001,2,3,10001,E001,13,15,5200,1,5,1H,146 WEST 29 STREET,M1-6, , , , , , , , , ,N,O6,5,0,P,146 W 29TH ST OWNERS,6962,82454,82454,0,76454,6000,0,0,0,0,2,1,12,0,4,70.5,98.75,71,97, ,3,N,5,0,1237500,6154650,0,0,1910,0,0, , ,11.84,0,10,10,1,1008040067,0,95,986423,211535,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,342.2141326,7056.855438,4917150,6,0,13743,13747,32,7200,33.49399948,36.64155579,3.147556305,33.61483288,0.55781411,1075.674652 +13745,MN,745,5,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,359 WEST 21 STREET,R7B, , , ,C2-5, , , , , ,N,B9,1,0, ,WILLIAM LINDSLEY WARD,1332,2464,0,1848,0,0,0,0,0,0,2,1,3,2,2,17.5,74,17.5,40,E,2,Y,5,1,52354,127484,0,0,1850,0,0,Chelsea Historic District, ,1.85,3,0,3,1,1007450005,0,89,983758,210775,8b, ,103 038,10303, ,0, ,1, , ,17V1.1,0,191.1370919,1441.686652,75130,7,0,13744,13748,6,1350,15.97222233,15.97222233,0,15.97222233,0,95.83333397 +13746,MN,479,33,102,41,1002,2,1,10012,L006,5,15,6800,1,2,1F,147 ELIZABETH STREET,C6-2G,C6-1, , , , ,LI, , , ,Y,D9,3,0, ,HUN WONG CORP,1929,9293,0,9293,0,0,0,0,0,0,2,1,5,22,22,25.33,76.17,25,61, ,3,Y,5,1,78300,510300,0,0,1900,1988,0, , ,4.82,6.02,6,6.5,1,1004790033,0,41,985546,201709,12c, ,101N074,10206, ,0, ,1, , 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BROADWAY,C5-3,C6-3A, , , , ,TMU, , , ,Y,RC,5,0,C,DCAS,18800,267986,267986,0,9169,247817,0,11000,0,0,2,2,15,0,3,125.6,155.48,0,0, ,0,N,5,5,5197500,23887800,3805823,20808000,1937,0,0, ,(FORMER) HOME LIFE INSURANCE COMPAN,14.25,10,15,15,1,1001347501,657,21,982196,199199,12b, ,101S018,10104, ,1001340029,11/29/1989,1, , ,17V1.1,7,589.005182,20026.59069,18690300,3,0,13750,13754,89,20025,30.50333214,38.35777664,7.854444504,30.59158432,0.827878883,2722.651005 +13752,MN,451,57,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,309 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,"269 ASSOCIATES, LLC",2306,8869,1600,7269,0,1600,0,0,0,0,2,1,5,20,22,25,92.27,25,70, ,3,N,5,1,432000,1643850,0,0,1900,0,0, , ,3.85,4,0,4,1,1004510057,0,40,987985,204914,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,242.7996868,2410.007852,1211850,12,0,13751,13755,11,2475,23.10400009,25.16500092,2.061000824,24.14698011,0.945241857,265.6167812 +13753,MN,200,17,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,83 MOTT STREET,C6-1G, , , , , , , , , ,N,O5,5,0,P,CHINESE MERCHANTS ASS,3836,16221,16221,0,8561,7660,0,0,0,0,2,1,6,0,0,50.42,76.33,50,76, ,0,Y,3,2,684000,2249100,0,0,1951,0,0, , ,4.23,3.44,6,6.5,1,1002000017,0,29,984782,200391,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,266.9712239,4290.491707,1565100,14,0,13752,13756,19,4275,28.79299927,35.67333221,6.880332947,29.15512205,1.536356868,553.947319 +13754,MN,395,12,103,28,2000,1,2,10009,L011,9,14,6300,1,3,4A,620 EAST 13 STREET,R7-2, , , , , , , , , ,N,D4,3,0,X,TANYA TOWERS,22715,100860,0,100860,0,0,0,0,0,0,2,1,10,138,138,220,103.25,170,58, ,1,N,5,2,1035000,8931600,1035000,8931600,1973,0,0, , ,4.44,3.44,0,6.5,1,1003950012,0,28,990429,204559,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,651.4401258,23000.81022,7896600,12,1,13753,13757,103,23175,7.677777767,10.97222233,3.294444561,9.218770453,0.605865715,949.5333567 +13755,MN,281,44,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,41 DIVISION STREET,C6-1G, , , , , , , , , ,N,L8,6,0,P,DIVISION STREET GROUP,3465,20968,20968,0,0,2996,0,17972,0,0,2,2,7,0,8,50.25,68.83,50,68, ,3,Y,5,2,198450,1319400,0,0,1900,0,0, , ,6.05,3.44,6,6.5,1,1002810044,0,8,985499,199411,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,242.7326073,3295.199459,1120950,16,0,13754,13758,15,3375,35.10200119,37.65177917,2.549777985,35.29641596,0.636065622,529.4462395 +13756,MN,569,7505,102,61,1002,2,2,10003,L003,6,15,5700,3,2, ,82 UNIVERSITY PLACE,C1-7, , , , , , , , , ,N,RM,4,0, , ,2260,12588,3010,9578,0,2250,0,760,0,0,2,1,9,7,8,24,95.08,24,95, ,3,N,5,5,314949,2262196,0,759312,1910,2008,0, , ,5.57,6.02,2,6.5,1,1005697505,2056,61,986064,206540,12c, ,103 022,10207, ,1005690027,5/3/2010,1, , ,17V1.1,7,251.6594498,2475.389442,1947250,8,0,13755,13759,10,2250,34.37900162,35.3093338,0.930332184,34.47203484,0.279099655,344.7203484 +13757,MN,909,11,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,221 EAST 28 STREET,R8B, , , , , , , , , ,N,C4,2,0, ,221-223 E. 28TH ST.LL,2469,9445,0,9445,0,0,0,0,0,0,2,1,5,20,20,25,98.75,25,88, ,3,N,5,2,77400,720900,0,0,1920,0,0, , ,3.83,4,0,4,1,1009090011,0,66,989858,209517,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,248.9553991,2314.305901,643500,11,0,13756,13760,10,2250,34.61700058,34.61700058,0,34.61700058,0,346.1700058 +13758,MN,151,29,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,315 BROADWAY,C6-4A, , , , , , , , , ,N,O5,5,0, ,"315 BROADWAY, LLC",4194,20746,18671,2075,14522,4149,0,0,0,0,2,1,5,1,7,39.58,104.83,39.58,104.83, ,0,N,5,2,312750,1195650,0,0,1910,0,0, ,315 BROADWAY BUILDING,4.95,10,10,10,1,1001510029,0,33,982757,200039,12a, ,101S033,10104, ,0, ,1, , ,17V1.1,0,300.1212043,4403.710452,882900,14,0,13757,13761,18,4050,23.98999977,23.98999977,0,23.98999977,0,431.8199959 +13759,MN,97,26,101,15.01,3006,2,1,10038,E006,1,15,7700,1,1,1B,229 FRONT STREET,C6-2A, , , , , ,LM, , , ,N,C7,4,0,P,YARROW TWO LLC,2830,14400,1000,13400,0,1000,0,0,0,0,2,1,5,9,10,37.75,74.67,89.5,74.67, ,0,Y,5,2,194721,1714073,0,267744,1900,0,0,South Street Seaport Historic District, ,5.09,6.02,6,6.5,1,1000970026,0,1501,983727,197019,12b, ,101S023,10103, ,1000970026,12/23/2004,1,1,1,17V1.1,0,222.4926257,2794.356213,1519350,4,1,13758,13762,12,2700,5.993332863,5.993332863,0,5.993332863,0,71.91999435 +13760,MN,874,29,106,50,2000,2,2,10003,E005,13,14,5300,1,6,1A,141 EAST 18 STREET,R8B, , , , , , , , ,LH-1,N,C0,2,0, ,EAST ASIA LAND FUND L,1170,3192,0,3192,0,0,0,0,0,0,2,1,4,3,3,14.75,79.33,14.75,57, ,3,N,5,2,63265,152485,0,0,1910,2015,0,Gramercy Park Historic District, ,2.73,4,0,4,1,1008740029,0,50,988086,207545,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,193.6485869,1189.546176,89220,5,0,13759,13763,6,1350,27.68333435,29.87666702,2.193332672,28.06833394,0.809832368,168.4100037 +13761,MN,793,14,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,141 WEST 17 STREET,C6-2A, , , , , , , , , ,N,D0,3,0, ,OLD WARREN ROAD HOUSE,6178,32862,6200,26662,600,5600,0,0,0,0,2,1,6,12,13,65.83,92.08,65.83,82, ,3,Y,5,2,319500,4356900,11800,11800,1918,1984,0, , 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,1004740035,12/20/2001,1, , ,17V1.1,7,476.9235847,5533.532244,11367900,0,0,13762,13766,24,5400,20.59311104,20.71800041,0.124889374,20.71279669,0.024956183,497.1071205 +13764,MN,637,54,102,75,2002,2,3,10014,L005,6,15,6400,1,2,2K,372 WEST 11 STREET,C1-7, , , , , , , , , ,N,A4,1,0,P,372 WEST 11 STREET LL,1180,3200,0,3200,0,0,0,0,0,0,2,1,4,1,1,19.92,60.25,20,40, ,2,Y,5,5,274610,296700,0,0,1900,1988,2013, , ,2.71,6.02,2,6.5,1,1006370054,0,75,981599,207122,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,0,163.7233181,1238.435958,22090,9,1,13763,13767,7,1575,9.841333389,10.60299969,0.761666298,10.41461876,0.302837326,72.90233135 +13765,MN,719,42,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,191 9 AVENUE,R7B, , , ,C2-5, , , , , ,N,S4,4,0,P,KAY FOUR REALTY,2742,5832,1000,4832,0,1000,0,0,0,0,2,1,4.5,4,5,23,100,23,87, ,3,Y,5,5,171450,360895,0,0,1900,0,0,Chelsea Historic District, ,2.13,3,0,3,1,1007190042,0,89,983597,210930,8b, ,103 042,10302, ,0, ,1, , 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,17V1.1,0,288.8417977,4882.786277,622350,1,0,13766,13770,21,4725,31.68099976,33.60333252,1.922332764,31.91149721,0.518969739,670.1414413 +13768,MN,471,29,102,41,4000,2,1,10013,E055,5,15,6800,1,2,1F,164 MULBERRY STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0,P,PERRY'S REALTY CORP,2485,13265,6851,6414,0,6851,0,0,0,0,2,1,5,3,4,25,100.17,25,100,E,3,Y,5,2,225000,1850400,0,0,1900,1986,2005, , ,5.34,6.02,6,6.5,1,1004710029,0,41,985107,201457,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,254.7070887,2526.117833,1625400,0,0,13767,13771,11,2475,27.46699905,29.42099953,1.954000473,28.51308008,0.956804895,313.6438808 +13769,MN,930,43,106,66,6000,2,2,10010,E016,13,14,5800,1,6,1B,326 EAST 25 STREET,R8, , , , , , , , , ,N,C6,2,0, ,E 25 ST STUDIO CORP,2469,7220,0,7220,0,0,0,0,0,0,2,1,5,19,19,25,98.75,25,54, ,3,N,5,2,135000,648450,0,0,1910,0,0, , ,2.92,6.02,0,6.5,1,1009300043,0,66,990123,208309,8d, ,104 009,10309, ,0, ,1, , 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LLC,1826,5236,1600,3636,0,1600,0,0,0,0,2,1,4,6,7,24.67,74,25,71,E,3,N,3,0,242569,667677,0,0,1910,1963,0, , ,2.87,7.52,2,7.5,1,1009120038,0,70,990578,210160,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,205.0227688,2045.122002,425108,10,0,13790,13794,9,2025,26.07444382,26.45000076,0.375556946,26.38259315,0.130623074,237.4433384 +13792,MN,529,33,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,2A,49 BOND STREET,M1-5B, , , , , , , , , ,N,L8,6,0, ,49 BOND LLC,1932,6280,6280,0,0,1570,0,0,0,4710,2,1,4,2,4,25,79.75,25,74, ,3,Y,5,0,175500,603000,0,0,1920,0,0,NoHo Historic District Extension, ,3.25,0,5,6.5,1,1005290033,0,5502,986215,203704,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,210.2497433,1948.282882,427500,9,0,13791,13795,8,1800,41.23199844,43.23733521,2.005336761,41.48266554,0.663202796,331.8613243 +13793,MN,921,6,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,307 EAST 14 STREET,C1-6A, , , , , ,TA, , , ,N,H3,5,0,P,EDEN SUITES LLC C/O E,1145,4256,400,0,0,400,0,0,0,0,2,1,4,13,14,21.5,53.25,21.42,45.25, ,3,N,5,1,154800,851850,0,0,1910,1987,0, , ,3.72,4,2,4,1,1009210006,0,48,988578,206090,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,157.170383,1254.385791,697050,12,0,13792,13796,6,1350,22.90500069,22.90500069,0,22.90500069,0,137.4300041 +13794,MN,507,4,102,43,1000,2,1,10012,L020,5,15,6800,1,2,1G,232 ELIZABETH STREET,C6-2,C6-1, , , , ,LI, , , ,Y,C7,4,0,P,232 ELIZABETH LLC,3698,15372,3100,12272,0,3100,0,0,0,0,2,1,6,28,30,39.83,92.83,40,78, ,3,N,5,2,196200,2685600,0,0,1910,2013,0, , ,4.16,6.02,6,6.5,1,1005070004,0,43,985983,202710,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,270.7806873,3801.657156,2489400,9,0,13793,13797,16,3600,44.71333313,48.11555481,3.40222168,44.92597198,0.823546744,718.8155518 +13795,MN,753,30,104,97,4000,2,3,10001,L024,14,15,5500,1,4,2A,311 WEST 29 STREET,R8B, , , , , , , , , ,N,C5,2,0, ,"MIKA PROPERTIES, INC.",2197,6555,0,6555,0,0,0,0,0,0,2,1,5,19,19,22.25,98.75,22,56, ,3,N,5,2,118350,1209600,0,0,1900,1985,0, , ,2.98,4,0,4,1,1007530030,0,97,985254,212362,8d, ,105S019,10303, ,0, ,1, , ,17V1.1,0,248.5913708,2198.997099,1091250,6,0,13794,13798,9,2025,28.20800018,31.5466671,3.338666916,29.50283962,1.458368785,265.5255566 +13796,MN,809,49,105,101,1001,2,3,10120,L024,14,15,5200,1,5,1H,108 WEST 34 STREET,C6-6, , , , , ,MID, , , ,N,O6,5,0, ,110 W. 34TH ST.,4666,53115,53115,0,45115,8000,0,0,0,0,2,1,12,0,48,47.25,98.75,47,98.9, ,0,N,5,5,1633500,7420050,0,0,1903,0,0, , ,11.38,10,15,15,1,1008090049,0,101,987428,212452,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,304.276986,4955.91705,5786550,6,0,13795,13799,22,4950,41.24700165,45.56111145,4.314109802,41.8054409,1.408899992,919.7196999 +13797,MN,298,35,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,45 CANAL STREET,C6-2, , , , , , , , , ,N,A4,1,0,P,45 CANAL ST. LLC,1000,3292,0,3292,0,0,0,0,0,0,2,1,3,1,1,19.5,50,16,50, ,3,N,5,2,39780,162436,0,0,1910,2012,0, , ,3.29,6.02,6,6.5,1,1002980035,0,16,986637,199742,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,144.50208,1031.956982,122656,13,0,13796,13800,4,900,37.64699936,37.64699936,0,37.64699936,0,150.5879974 +13798,MN,451,52,103,40,4000,1,2,10003,L011,9,14,6200,1,3,4B,319 EAST 9 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,THERMALD REALTY ASSOC,2306,7536,1500,6036,0,1500,0,0,0,0,2,1,4,12,14,25,92.25,25,86, ,3,N,5,2,123750,819450,0,0,1900,0,0, , ,3.27,4,0,4,1,1004510052,0,40,988094,204854,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,241.4573694,2345.272785,695700,12,0,13797,13801,9,2025,23.62299919,23.62299919,0,23.62299919,0,212.6069927 +13799,MN,446,26,103,38,5001,1,2,10003,E028,9,14,6500,1,3,3B,336 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,SE 5 REALTY CORP,2404,10788,2050,8738,0,2050,0,0,0,0,2,1,6,22,23,25,96.17,25,82, ,3,N,5,2,222750,1213200,0,0,1900,1987,0, , 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CARMINE STREETC,2438,6445,645,5800,0,645,0,0,0,0,2,1,4,5,6,34.83,70,35,35,E,3,N,5,5,75411,271070,0,0,1910,0,0,Greenwich Village Historic District Exte, ,2.64,2.43,0,4.8,1,1005270062,0,67,983376,205202,12a, ,103 006,10206, ,0, ,1, , ,17V1.1,0,219.3998128,2641.351058,195659,9,0,13807,13811,12,2700,15.38333321,16.12533379,0.74200058,15.44516659,0.205078126,185.3419991 +13809,MN,719,75,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,460 WEST 22 STREET,R7B, , , , , , , , , ,N,A4,1,0, ,DRGB Y ASOCIADOS LLC,1580,4019,0,4019,0,0,0,0,0,0,2,1,4,1,1,16,98.75,16,52, ,3,N,5,5,296329,325642,0,0,1900,1989,2013,Chelsea Historic District, ,2.54,3,0,3,1,1007190075,0,89,983159,211238,8b, ,103 042,10302, ,0, ,1, ,1,17V1.1,0,230.0134568,1622.232135,29313,7,1,13808,13812,6,1350,9.618888855,12.94888878,3.329999924,10.94774071,1.130508822,65.68644428 +13810,MN,161,1,103,29,4002,2,1,10038,E006,5,15,7700,1,3,1A,196 PARK ROW,C6-1, , , , , ,TA, , , ,N,D4,3,0,P,CHATHAM TOWERS 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,3,Y,5,2,661500,5199750,0,0,1910,1988,0,Greenwich Village Historic District, ,4.07,2.43,0,4.8,1,1006090053,0,71,984784,207868,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,370.9957127,8330.533441,4538250,8,0,13813,13817,36,8100,25.65555573,29.32110977,3.665554047,25.75737667,0.602380839,927.2655602 +13815,MN,275,20,103,8,6011,2,1,10002,E009,5,14,7800,1,3,1A,26 MARKET STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,26 28 MARKET STREET I,3275,17778,2700,15078,0,2700,0,0,0,0,2,1,6,36,38,44.58,80.5,44,72, ,3,Y,5,2,156150,1111500,0,0,1920,1989,0, , ,5.43,3.44,0,6.5,1,1002750020,0,8,985860,198982,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,244.2365261,3393.877136,955350,16,0,13814,13818,14,3150,30.54333305,34.60777664,4.064443588,30.83365045,1.046754269,431.6711063 +13816,MN,614,8,102,77,5001,2,3,10014,Q018,6,15,6100,1,2,3B,48 BANK STREET,R6, , , , , , , , , ,N,A4,1,0, ,"48 RUE DE RIVE, LLC",1828,3440,0,3440,0,0,0,0,0,0,2,1,2,1,1,20,91.42,20,91.42, ,3,N,5,2,56251,213994,0,0,1899,0,0,Greenwich Village 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,17V1.1,7,304.2620037,3244.551984,1170130,14,0,13829,13833,15,3375,21.5755558,21.5755558,0,21.5755558,0,323.633337 +13831,MN,492,42,102,43,2000,2,1,10012,L020,5,15,6800,1,2,1G,7 SPRING STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,"PLC SEVEN SPRINGS, LL",2512,9345,1800,7545,0,1800,0,0,0,0,2,2,5,20,22,25.17,106.92,25,80, ,3,Y,5,1,54000,1063350,0,0,1900,0,0, , ,3.72,6.02,6,6.5,1,1004920042,0,43,985817,202098,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,264.0691157,2658.829625,1009350,0,0,13830,13834,12,2700,39.76666641,40.95000076,1.183334351,39.86527761,0.327056337,478.3833313 +13832,MN,193,7503,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,55 WALKER STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,OWNER / AGENT,2486,14684,8218,6466,0,4109,0,0,0,4109,2,1,5,4,5,0.05,0,0,0, ,0,N,5,5,45470,533713,0,0,1915,0,0,Tribeca East Historic District, ,5.91,6.02,6,6.5,1,1001937503,525,33,983311,201147,12a, ,101N046,10105, ,1001930036,11/1/1988,1, , ,17V1.1,7,255.0464131,2563.076242,488243,14,0,13831,13835,11,2475,13.68111134,19.8777771,6.196665764,14.24444459,1.781416156,156.6888905 +13833,MN,487,5,102,47,1003,2,1,10013,L008,1,15,6800,1,2,1A,496 BROOME STREET,M1-5A, , , , , , , , , ,N,F5,6,0, ,"SEKHMET PRODUCTIONS,I",1500,3832,3832,0,0,0,0,0,3832,0,2,1,2,0,1,20,75,20,75,E,3,N,5,2,168750,535500,0,0,1920,0,0,SoHo-Cast Iron Historic District, ,2.55,0,5,6.5,1,1004870005,0,47,983539,202814,12a, ,101N069,10206, ,0, ,1,1,1,17V1.1,0,191.7562023,1470.028291,366750,0,1,13832,13836,6,1350,13.42399979,13.42399979,0,13.42399979,0,80.54399872 +13834,MN,885,6,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,103 EAST 29 STREET,C6-4A, , , , , , , , , ,N,H3,5,0,P,"SCHNEIDER, DAVID",3761,19565,800,0,0,800,0,0,0,0,2,1,7,0,2,45,98.75,45,80, ,3,Y,5,2,945000,2343150,0,0,1920,1985,0, , ,5.2,10,10,10,1,1008850006,0,72,988956,210304,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,292.9276074,3955.280869,1398150,11,0,13833,13837,17,3825,32.84000015,35.54111099,2.70111084,33.29967319,0.871119145,566.0944443 +13835,MN,285,15,103,6,3000,2,1,10002,E015,7,14,7800,1,3,1B,207 HENRY STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0,P,YMM REALTY CORP,2107,11149,2000,9149,0,2000,0,0,0,0,2,1,6,10,14,24.08,87.5,24,86,E,3,N,3,2,72450,517950,0,0,1910,0,0, , ,5.29,3.44,0,6.5,1,1002850015,0,6,987784,199341,12d, ,101N056,10107, ,0, ,1, , ,17V1.1,0,227.4573413,2230.9184,445500,13,0,13834,13838,9,2025,23.9640007,27.61755562,3.653554916,24.36995125,1.148201536,219.3295612 +13836,MN,463,36,103,38,1002,1,2,10003,E033,9,14,6500,1,3,4B,41 EAST 7 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,EAST 7TH STREET ASSOC,3750,15108,2518,12590,0,2518,0,0,0,0,2,1,6,22,25,50,75,50,62, ,3,N,5,2,391050,2192400,0,0,1900,1985,0,East Village/Lower East Side Historic Di, ,4.03,4,0,4,1,1004630036,0,38,987423,204643,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,259.3939752,4041.509416,1801350,12,0,13835,13839,18,4050,34.15777969,34.15777969,0,34.15777969,0,614.8400345 +13837,MN,509,33,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,279 MOTT STREET,C6-2, , , , , ,LI, , , ,N,C7,4,0, ,R F S C INC,1828,5240,1000,4240,0,1000,0,0,0,0,2,1,5,9,10,20,91.42,20,50, ,3,N,5,1,11812,125144,0,0,1910,2009,0, , ,2.87,6.02,6,6.5,1,1005090033,0,43,985713,203070,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,234.1990127,2048.433848,113332,9,0,13836,13840,8,1800,42.24222183,46.49111176,4.248889923,44.14000034,1.909882055,353.1200027 +13838,MN,803,56,105,95,1002,2,3,10001,E001,13,15,5200,1,5,1H,120 WEST 28 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,OHDAY REALTY CORP,10790,38760,38760,0,9690,9690,0,19380,0,0,2,1,4,0,11,110,98.75,102,95, ,3,N,5,2,1413000,4108950,0,0,1900,0,0, , ,3.59,0,10,10,1,1008030056,0,95,986537,211178,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,416.7006918,10827.97068,2695950,2,0,13837,13841,48,10800,36.93999863,40.0344429,3.094444275,37.00446622,0.441967524,1776.214378 +13839,MN,921,24,106,48,5002,2,2,10003,E005,13,14,5900,1,6,1A,347 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,CHABAN BOHDAN J,2323,6437,1200,5237,0,1200,0,0,0,0,2,1,4,8,9,22.5,103.25,23,66, ,3,N,5,0,72893,277330,0,0,1910,0,0, , ,2.77,4,2,4,1,1009210024,0,48,988985,205893,12c, ,102 037,10309, ,0, ,1, , ,17V1.1,0,259.0448159,2405.85148,204437,12,0,13838,13842,11,2475,21.46000099,22.90500069,1.444999695,22.49252597,0.562409028,247.4177856 +13840,MN,614,47,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,243 WAVERLY PLACE,R6,C1-6, , , , , , , , ,Y,A4,1,0, ,"FARACH-COLTON, MARTIN",1100,3068,0,2301,0,0,0,0,0,0,2,1,3,1,1,16.67,66,16.67,46, ,3,N,5,1,65717,177505,0,0,1899,2008,0,Greenwich Village Historic District, ,2.79,2.43,0,4.8,1,1006140047,0,77,983736,207696,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,169.1560975,1107.221112,111788,8,0,13839,13843,5,1125,25.32666588,25.32666588,0,25.32666588,0,126.6333294 +13841,MN,349,16,103,30.01,4000,1,1,10002,L018,7,14,6600,1,3,2A,159 STANTON STREET,R7A, , , ,C1-5, , , , , ,N,C4,2,0,P,159-161 STANTON LLC,2504,8201,0,8201,0,0,0,0,0,0,2,1,5,20,20,25,100.17,25,62, ,3,N,5,2,135000,740700,0,0,1900,1987,0, , ,3.28,4,0,4,1,1003490016,0,3001,988421,201650,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,250.1059069,2384.095624,605700,1,0,13840,13844,11,2475,24.4422226,26.14999962,1.707777023,24.84343459,0.578457892,273.2777805 +13842,MN,200,33,103,29,2002,2,1,10013,E009,5,15,7700,1,3,1A,78 BAYARD STREET,C6-1, , , , , , , , , ,N,C7,4,0,P,82 BAYARD COMPANY INC,4200,17508,3120,14388,0,3120,0,0,0,0,2,1,6,30,34,84,50,82,36, ,3,N,5,2,310500,1655550,0,0,1910,1985,0, , ,4.17,3.44,6,6.5,1,1002000033,0,29,984612,200079,12c, ,101S032,10105, ,0, ,1, , ,17V1.1,0,275.2910937,4445.356241,1345050,14,0,13841,13845,19,4275,28.79299927,32.31777954,3.524780273,28.97851402,0.787072432,550.5917664 +13843,MN,494,22,102,43,3006,2,1,10012,L020,5,15,6800,1,2,1G,38 PRINCE STREET,C6-2, , , , , ,LI, , , ,N,A7,1,0, ,34 PRINCE EQUITIES LL,3309,8069,0,6454,0,0,0,0,0,0,2,1,4,1,1,0,0,25,65,E,3,Y,0,1,28050,701083,0,0,1900,2014,0, , ,2.44,6.02,6,6.5,1,1004940022,0,43,985534,202665,12c, ,101N076,10206, ,1004940021,4/4/2014,1, , ,17V1.1,0,322.3879396,3491.801559,673033,0,0,13842,13846,15,3375,38.86500168,44.97444534,6.109443665,41.21451976,2.646905413,618.2177963 +13844,MN,350,37,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,154 STANTON STREET,R7A, , , , , , , , , ,N,K4,4,0,P,Y&K 155 LLC,1675,3600,1675,1925,0,1675,0,0,0,0,2,1,2,1,2,25,67,25,57, ,0,N,3,5,150750,496350,0,0,1920,0,0, , ,2.15,4,0,4,1,1003500037,0,3001,988372,201810,12c, ,102 005,10201,E-216,0, ,1, , ,17V1.1,0,192.9649193,1890.280848,345600,1,0,13843,13847,9,2025,22.40999985,26.78000069,4.370000839,23.76518525,1.929377003,213.8866673 +13845,MN,206,29,102,41,5004,2,1,10013,L006,5,15,6800,1,2, ,209 CANAL STREET,C6-2G,C6-1G, , , , ,LI, , , ,Y,K4,4,0, ,"LEVITAN, DANIEL",1749,7895,7895,0,4940,2955,0,0,0,0,2,1,4.5,0,7,53,55.58,53,56,E,3,Y,5,2,338400,1371600,0,0,1910,0,0, , ,4.51,6.02,6,6.5,1,1002060029,0,41,984571,200663,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,202.1277922,1781.137056,1033200,14,0,13844,13848,7,1575,25.95999908,25.95999908,0,25.95999908,0,181.7199936 +13846,MN,194,4,101,33,1001,2,1,10013,L001,1,15,7700,1,1,3B,56 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,S9,4,0, ,"PROJECT 56 WALKER, LL",2609,13120,5278,7842,0,0,0,0,0,5278,2,1,5,2,5,25.08,100.08,25,92,E,3,N,5,5,97226,1005108,0,0,1915,1963,2004,Tribeca East Historic District, ,5.03,6.02,6,6.5,1,1001940004,0,33,983387,201274,12a, , , , ,0, ,1, , ,17V1.1,0,257.1143918,2631.033087,907882,14,0,13845,13849,12,2700,12.8255558,12.8255558,0,12.8255558,0,153.9066696 +13847,MN,144,29,101,33,3022,2,1,10013,E007,1,15,7700,1,1,3A,136 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,S3,4,0,P,"HUTT, HARRIET L",1263,4521,1130,3391,0,1130,0,0,0,0,2,1,4,3,4,25.17,50.25,25,50, ,3,Y,5,5,307025,435892,0,0,1915,0,0,Tribeca West Historic District, ,3.58,6.02,6,6.5,1,1001440029,0,33,981930,200488,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,155.7518151,1330.07919,128867,14,0,13846,13850,7,1575,11.09777832,11.09777832,0,11.09777832,0,77.68444824 +13848,MN,523,47,102,55.01,1004,2,1,10012,L009,6,15,5700,1,2,2A,623 BROADWAY,C6-2, , , , , , , , , ,N,K4,4,0, ,EC REALTY HOLDINGS LL,6800,34085,34085,0,0,8245,0,0,0,25840,2,1,5,0,2,34.17,200,34,190, ,3,N,4,1,1530000,9139950,0,0,1900,2008,1993,NoHo Historic District, ,5.01,6.02,6,6.5,1,1005230047,0,5501,985131,203809,12c, ,103 009,10206, ,0, ,1, , ,17V1.1,0,493.0078791,7219.162281,7609950,9,0,13847,13851,33,7425,35.67444611,40.54222107,4.867774963,36.01933462,1.02933003,1188.638042 +13849,MN,396,4,103,28,1000,1,2,10009,L011,9,14,6300,1,3,4A,221 AVENUE B,C1-6A, , , , , , , , , ,N,C4,2,0,P,DIMITAR & K DIMITROV,1936,5538,800,4738,0,800,0,0,0,0,2,1,5,8,9,22,88,22,46, ,3,N,5,2,29189,121976,0,0,1904,0,0, , ,2.86,4,2,4,1,1003960004,0,28,990318,204843,12c, ,102 030,10203, ,0, ,1, ,1,17V1.1,0,224.0221861,1980.195668,92787,12,1,13848,13852,9,2025,10.09222221,11.95333385,1.861111641,10.36320994,0.590353443,93.26888943 +13850,MN,92,26,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,118 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,K4,4,0, ,"MEYERS, BARRIE",1440,5832,1715,4117,0,1715,0,0,0,0,2,1,5,2,4,18.92,81.58,19,82, ,3,Y,5,2,197550,621900,0,0,1900,0,0, , ,4.05,10,15,15,1,1000920026,0,1501,982348,198222,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,201.5823984,1487.424114,424350,4,0,13849,13853,8,1800,34.5909996,37.67333221,3.082332611,34.97629118,1.019385693,279.8103294 +13851,MN,590,45,102,67,1001,2,3,10014,E024,6,15,6400,1,2,1B,29 CORNELIA STREET,R6, , , , , , , , , ,N,C7,4,0,P,29 CORNELIA PARTNERS,4112,17217,2000,15217,0,2000,0,0,0,0,2,1,6,26,27,42.17,97.5,42.17,85.5, ,3,N,5,2,315000,4036950,0,1598714,1910,1958,2004,Greenwich Village Historic District Exte, ,4.19,2.43,0,4.8,1,1005900045,0,67,983559,205782,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,282.0126185,4158.189688,3721950,9,0,13850,13854,17,3825,17.54000092,17.54000092,0,17.54000092,0,298.1800156 +13852,MN,348,15,103,14.02,1000,1,1,10002,L018,7,14,7400,1,3,2A,151 RIVINGTON STREET,R7A, , , , , , , , , ,N,S3,4,0, ,151 RIVINGTON HOLDING,958,2631,950,1681,0,950,0,0,0,0,2,1,3,3,4,18.42,52,19,45, ,3,Y,5,5,110110,160160,0,0,1910,1989,0, , ,2.75,4,0,4,1,1003480015,0,1402,988203,201278,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,149.413514,1083.619415,50050,13,0,13851,13855,5,1125,24.76333427,26.50333405,1.739999771,25.11133423,0.695999908,125.5566711 +13853,MN,410,12,103,18,3002,1,1,10002,L018,7,14,7400,1,3,2A,87 RIVINGTON STREET,C4-4A, , , , , , , , , ,N,C7,4,0,P,RIVINGTON HOUSING DEV,2500,9525,2100,7425,0,2100,0,0,0,0,2,1,5,8,9,25,100,25,74, ,2,N,5,2,135477,377013,135477,377013,1900,1988,2011, , ,3.81,4,4,4,1,1004100012,0,18,987298,201612,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,258.1599981,2681.88294,241536,13,0,13852,13856,13,2925,33.47900009,35.24777985,1.768779755,33.86960719,0.639063392,440.3048935 +13854,MN,303,39,103,16,1002,2,1,10002,L006,5,14,7400,1,3,1A,133 CANAL STREET,C6-1G, , , , , , , , , ,N,M9,8,0,P,HERITAGE GROUP OF NEW,4811,15600,15600,0,7200,0,0,0,0,8400,2,1,4,0,3,71.25,151.08,69,151,E,3,Y,5,2,660150,1834200,0,0,1900,1989,0, , ,3.24,3.44,6,6.5,1,1003030039,0,16,985549,200238,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,379.0169218,4825.108076,1174050,0,0,13853,13857,22,4950,41.4129982,47.38722229,5.974224091,41.68455384,1.244424278,917.0601845 +13855,MN,618,27,102,77,1000,2,3,10011,Q018,6,15,6100,1,2,3B,210 WEST 14 STREET,C6-2A,R6, , , , , , , , ,Y,C4,2,0,P,HAPPY UNITED REALTYIN,3275,6000,0,6000,0,0,0,0,0,0,2,2,5,6,7,25,131.5,25,129,E,3,N,5,2,150306,539674,0,0,1910,1982,0, , ,1.83,6.02,6,6.5,1,1006180027,0,77,984053,208380,8d, ,103 031,10209, ,0, ,1, , ,17V1.1,0,312.6070621,3079.494578,389368,8,0,13854,13858,13,2925,22.30444527,26.71555519,4.411109924,22.64376141,1.175425616,294.3688984 +13856,MN,637,17,102,75,1001,2,3,10014,L005,6,15,6400,1,2,2K,164 PERRY STREET,R6A, , , ,C1-5, , , , , ,N,S1,4,0, ,"164 PERRY STREET, LLC",1440,3662,1640,2022,0,1640,0,0,0,0,2,1,3,1,2,20,82.33,20,82, ,3,Y,5,5,66064,136855,0,0,1901,2008,0, , ,2.54,3,0,3,1,1006370017,0,75,981703,206876,12a, ,103 011,10210, ,0, ,1, ,1,17V1.1,0,208.0585271,1693.142836,70791,9,1,13855,13859,7,1575,10.04599953,10.04599953,0,10.04599953,0,70.32199669 +13857,MN,824,49,105,58,1008,2,3,10010,E014,13,15,5700,1,5,1O,18 WEST 23 STREET,C6-4M, , , , , , , , , ,N,K4,4,0, ,STUDIO PARK L.L.C.,1978,11320,5980,5340,0,5980,0,0,0,0,2,1,6,3,5,20,98.75,20,92,E,3,N,5,2,315000,878400,0,0,1920,1987,0,Ladies' Mile Historic District, ,5.72,10,10,10,1,1008240049,0,58,986878,209473,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,239.5644518,1972.477273,563400,2,0,13856,13860,9,2025,34.46500015,38.94777679,4.482776642,34.96308645,1.408800783,314.667778 +13858,MN,792,33,104,81,1001,2,3,10011,L012,13,15,5600,1,4,1A,575 AVENUE OF THE AMER,C6-2A, , , , , , , , , ,N,D0,3,0, ,575 OWNERS CORP,3450,32950,3000,29950,0,3000,0,0,0,0,2,1,9,16,17,46,75,46,75, ,3,N,3,2,267300,3170700,45950,45950,1900,1981,0, , ,9.55,6.02,6,6.5,1,1007920033,0,81,985343,208487,8d, ,103 029,10305, ,0, ,1, , 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,17V1.1,0,657.5390461,17993.0736,44863200,3,0,13861,13865,80,18000,15.9038887,16.54888916,0.645000458,16.27718019,0.064752084,1302.174416 +13863,MN,277,30,103,8,2000,2,1,10002,E009,5,14,7800,1,3,1A,56 HENRY STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,GROOVES & PEBBLES INC,2500,11304,1000,10304,0,1000,0,0,0,0,2,1,6,17,18,25,100,25,86, ,0,N,5,2,101250,765000,0,0,1900,0,0, , ,4.52,3.44,0,6.5,1,1002770030,0,8,985589,198948,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,254.1026329,2468.454722,663750,16,0,13862,13866,12,2700,26.91300011,27.79455566,0.881555557,26.98646307,0.243649085,323.8375568 +13864,MN,382,1,103,28,4002,1,2,10009,L011,9,14,6300,1,3,4A,188 AVENUE C,R7-2, , , , , , , , , ,N,D9,3,0,X,HAVEN PLAZA HOUSING D,139167,453600,5000,448600,0,5000,0,0,0,0,2,6,26,371,375,369.75,383,75,75, ,1,Y,3,2,2699550,12467250,2699550,12467250,1966,0,0, , ,3.26,3.44,0,6.5,1,1003820001,0,28,990945,204129,12c, ,102 031,10202, ,0, 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STEPHEN'S CHURCH (THE CHURCH OF,2.18,4,0,4,1,1008840030,0,72,989400,209795,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,791.2941897,30022.06304,4730400,11,0,13870,13874,136,30600,31.56888962,37.6506691,6.08177948,35.62889402,1.771176151,4845.529587 +13872,MN,637,7506,102,75,1008,2,3,10014,L005,6,15,6400,2,2, ,163 CHARLES STREET,R6A, , , ,C1-5, , , , , ,N,RM,4,0, , ,2242,12811,2000,10811,0,0,0,0,0,0,2,1,8,3,4,22,101.92,22,97, ,0,Y,5,5,49095,1182853,0,207995,2005,0,0, , ,5.71,3,0,3,1,1006377506,1817,75,981631,206749,12a, ,103 011,10210, ,1006370042,12/29/2007,1,1,1,17V1.1,7,252.4090485,2354.284541,1133760,9,1,13871,13875,11,2475,10.52600002,10.52600002,0,10.52600002,0,115.7860003 +13873,MN,35,1,101,7,1032,2,1,10005,L015,1,15,7700,1,1, ,77 FRONT STREET,C6-9, , , , , ,LM, , , ,N,O4,5,0,P,"32 OLD STREAM, LLC",42176,973587,973587,0,929884,479,29785,0,0,13439,2,1,36,0,31,216,203.33,190,184, ,1,Y,1,2,29565000,116596350,0,14979960,1987,2008,0, , ,23.08,10,15,15,1,1000350001,0,7,982117,195693,12b, 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,17V1.1,0,200.2893189,1600.492553,244710,14,0,13878,13882,8,1800,21.5755558,26.34111023,4.765554428,22.1712501,1.576058985,177.3700008 +13880,MN,398,18,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,176 EAST 3 STREET,R8B, , , , , , , , , ,N,D7,4,0, ,RAE REALTY LLC,10513,43520,2035,41485,2035,0,0,0,0,0,2,1,6,48,50,99.25,105.92,99,89, ,3,N,5,2,675000,3990150,0,2204964,1931,0,0, , ,4.14,4,0,4,1,1003980018,0,3002,988645,202652,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,414.4810609,10718.04385,3315150,1,0,13879,13883,47,10575,19.43000031,22.85777855,3.427778244,19.97213282,1.018529401,938.6902428 +13881,MN,179,32,101,33,3020,2,1,10013,E007,1,15,7700,1,1,3A,176 WEST BROADWAY,C6-2A, , , , , ,TMU, , , ,N,D6,4,0,P,QUEENWOOD 34 LLC,6185,52930,10088,42842,0,4300,0,5788,0,0,2,1,10,16,17,124.67,49.67,49.67,124.67, ,0,Y,3,2,517500,12904650,0,4868986,2008,0,0, , ,8.56,6.02,6,6.5,1,1001790032,0,33,982188,200920,12a, ,101S035,10105,R-77,0, ,1, , ,17V1.1,0,363.0587518,6688.345752,12387200,14,1,13880,13884,31,6975,10.17444515,12.59000015,2.415555,10.72779606,0.802369423,332.5616779 +13882,MN,398,2,103,30.02,1000,1,2,10009,E028,9,14,6600,1,3,3A,28 AVENUE A,R7A,R8B, , ,C2-5, , , , , ,Y,K2,5,0, ,"28-30 AVENUE A, LLC",5280,25760,25760,0,0,25760,0,0,0,0,2,1,5,0,2,44,120,44,115, ,3,N,5,2,594000,2869200,0,0,1930,2011,0, , ,4.88,4,0,4,1,1003980002,0,3002,988347,202750,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,331.3212892,5319.118336,2275200,1,0,13881,13885,23,5175,19.43000031,25.75222206,6.322221756,19.79801966,1.342362117,455.3544521 +13883,MN,437,16,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,270 EAST 10 STREET,R8B, , , , , , , , , ,N,C1,2,0,P,TENTH JAM DEVELOPMENT,2400,8553,0,8553,0,0,0,0,0,0,2,2,5,13,13,25,96,25,66, ,3,N,5,2,297000,1399500,0,0,1900,1983,0, , ,3.56,4,0,4,1,1004370016,0,34,988817,204559,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,245.2354397,2410.796346,1102500,12,0,13882,13886,10,2250,17.51666641,17.51666641,0,17.51666641,0,175.1666641 +13884,MN,924,20,106,48,6000,2,2,10003,E005,13,14,5900,1,6,1A,331 EAST 18 STREET,R7B, , , , , , , , , ,N,C3,2,0, ,JOSEPH ADAMSON LIVING,1840,3654,0,3654,0,0,0,0,0,0,2,1,4,4,4,20,92,20,46, ,3,N,5,5,232432,355171,2360,2360,1910,1983,0, , ,1.99,3,0,3,1,1009240020,0,48,989322,206867,12c, ,102 048,10309, ,0, ,1, , ,17V1.1,0,229.3778985,1855.766238,122739,5,0,13883,13887,8,1800,14.83555603,16.58777809,1.752222061,15.39986134,0.736668576,123.1988907 +13885,MN,590,86,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,27 JONES STREET,R6,C2-6, , , , , , , , ,Y,C4,2,0, ,JONES STREET BUILDING,2500,9375,0,9375,0,0,0,0,0,0,2,1,5,20,20,25,100,25,74, ,3,N,5,2,234000,1410750,0,0,1890,0,0,Greenwich Village Historic District Exte, ,3.75,2.43,0,4.8,1,1005900086,0,67,983431,205994,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.0332418,2550.335632,1176750,9,0,13884,13888,13,2925,19.74111176,19.74111176,0,19.74111176,0,256.6344528 +13886,MN,798,66,104,91,1004,2,3,10011,L012,13,15,5200,1,4,2A,142 WEST 23 STREET,C6-3X, , , , , , , , , ,N,D9,3,0, ,GREENHORN DEVELOPMENT,7406,48680,4342,44338,0,4342,0,0,0,0,2,1,13,68,70,75,98.75,8,8, ,0,N,5,5,1741500,7222950,0,0,1989,0,0, , ,6.57,9,6,9,1,1007980066,0,91,985747,210098,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,345.8023465,7274.564309,5481450,2,0,13885,13889,31,6975,28.16444397,30.96777725,2.803333282,28.4181537,0.77689197,880.9627647 +13887,MN,764,18,104,81,6000,2,3,10011,L012,10,15,5600,1,4,1A,239 WEST 14 STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,SPANISH BENEVOLENT SO,2624,9020,3825,5195,3825,0,0,0,0,0,2,1,4,9,10,25.48,103.25,25,90,E,3,N,5,1,120764,667347,0,0,1920,1987,0, , ,3.44,6.02,6,6.5,1,1007640018,0,81,983929,208689,8b,Y,103 032,10304, ,0, ,1, , ,17V1.1,0,274.870833,2871.606643,546583,7,0,13886,13890,12,2700,22.05333328,24.42199898,2.368665695,24.15583245,0.673400308,289.8699894 +13888,MN,873,33,106,50,5000,2,2,10003,E005,13,14,5300,1,6,1A,188 3 AVENUE,C1-9A, , , , , , , , , ,N,C7,4,0, ,EAST 17TH LLC,2300,9200,1200,8000,0,1200,0,0,0,0,2,1,4,15,17,23,100,20,96, ,3,N,3,2,180000,1780650,0,0,1890,1983,0, , ,4,10,2,10,1,1008730033,0,50,988122,207214,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,254.4918264,2528.388614,1600650,5,0,13887,13891,11,2475,30.96199989,30.96199989,0,30.96199989,0,340.5819988 +13889,MN,281,12,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,28 EAST BROADWAY,C6-1G, , , , , , , , , ,N,O5,5,0,P,TT & PP REAL ESTATESI,1750,8812,8812,0,7052,1760,0,0,0,0,2,1,5,0,5,25,70.5,25,70.5, ,3,Y,5,2,318600,1684800,0,0,1920,1987,1997, , ,5.04,3.44,6,6.5,1,1002810012,0,8,985172,199302,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,196.9586181,1827.150267,1366200,16,0,13888,13892,8,1800,35.10200119,35.10200119,0,35.10200119,0,280.8160095 +13890,MN,738,8,104,83,2002,2,3,10014,L012,10,15,5600,1,4,1A,351 WEST 14 STREET,C6-2A,R8B, , , , , , , , ,Y,C4,2,0, ,MEPA REALTY LLC,10303,28023,4000,24023,0,4000,0,0,0,0,2,2,4.5,69,71,50,206.5,50,150, ,3,N,4,1,594000,6111900,0,0,1885,0,0,Gansevoort Market Historic District, ,2.72,6.02,6,6.5,1,1007380008,0,83,982990,209272,8b, ,103 036,10303, ,0, ,1, , ,17V1.1,0,533.7152616,10731.76663,5517900,7,0,13889,13893,49,11025,16.15333366,17.86333275,1.709999084,16.25350824,0.355513261,796.4219036 +13891,MN,885,92,105,72,3001,2,2,10016,E016,14,14,5300,1,5,1A,433 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,K2,5,0, ,D D F CORP,2100,4641,4641,0,945,1260,0,2436,0,0,2,1,4,0,4,21,100,21,90,E,3,N,5,2,486000,810450,0,0,1910,0,0, , ,2.21,10,10,10,1,1008850092,0,72,988940,210389,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,241.9205336,2068.236571,324450,10,0,13890,13894,9,2025,32.84000015,41.20888901,8.368888855,33.82950634,2.614366494,304.4655571 +13892,MN,348,38,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,100 CLINTON STREET,R8A, , , ,C1-5, , , , , ,N,S9,4,0,P,"CHIN, CHRISTINA G.L.",1000,2500,1000,1500,0,1000,0,0,0,0,2,1,3,2,4,20,50,20,46,E,3,N,5,5,115649,152686,0,0,1910,1998,0, , ,2.5,6,0,6,1,1003480038,0,1402,988301,200906,12c, ,101N080,10201,E-216,0, ,1, , ,17V1.1,0,152.851065,1218.636447,37037,13,0,13891,13895,6,1350,23.08555603,25.24111176,2.155555725,23.44481532,0.803328188,140.6688919 +13893,MN,537,35,102,65,5001,2,1,10012,L009,6,15,5700,1,2,2A,147 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,147 BLEEKER STREET LI,2858,11082,1750,9332,0,1750,0,0,0,0,2,1,6,9,10,28.58,100,29,100, ,3,N,5,2,192467,508258,0,0,1900,0,0,South Village Historic District, ,3.88,3.44,0,6.5,1,1005370035,0,65,984486,204657,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.4712653,2807.266933,315791,9,0,13892,13896,13,2925,27.39777756,28.36777878,0.970001221,27.47239304,0.2584756,357.1411095 +13894,MN,485,7501,102,49,1008,2,1,10012,E055,1,15,6800,1,2, ,77 MERCER STREET,M1-5A, , , , , , , , , ,N,RM,4,0, ,PARK SQUARE MANAGEMEN,5008,34389,16018,18371,0,16018,0,0,0,0,2,1,6,10,11,50,100,50,88, ,0,N,5,5,659250,5236278,4720,4720,1900,1987,0,SoHo-Cast Iron Historic District, ,6.87,0,5,6.5,1,1004857501,686,49,984120,202604,12c, ,101N070,10206, ,1004850030,2/10/1990,1, , ,17V1.1,7,309.226063,5291.40292,4577030,0,0,13893,13897,23,5175,17.71444511,24.73777771,7.023332596,18.0198074,1.432276082,414.4555702 +13895,MN,833,7501,105,76,1005,2,4,10001,L024,14,15,5200,1,5, ,306 5 AVENUE,C5-2, , , , , , , , , ,N,RC,5,0,P,306 FIFTH AVE CONDOMI,2469,14564,14564,0,10835,3729,0,0,0,0,2,1,8,0,8,0.05,100,25,99, ,3,N,5,5,592200,2900250,94311,357824,1925,1982,0, , ,5.9,10,10,10,1,1008337501,128,76,988101,211389,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,7,252.0730288,2543.996681,2308050,10,0,13894,13898,12,2700,41.76111221,41.76111221,0,41.76111221,0,501.1333466 +13896,MN,878,69,105,68,2001,2,2,10010,E014,13,14,5300,1,5,1B,110 EAST 23 STREET,C6-4A, , , , , , , , , ,N,O6,5,0,P,TSOUMPAS CHRISTOS,4938,32948,32948,0,30098,2850,0,0,0,0,2,2,10,0,24,50,98.75,25.83,94.33, ,0,N,5,2,1170000,3640050,0,0,1900,1988,0, , ,6.67,10,10,10,1,1008780069,0,68,988156,208765,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,305.5218116,5131.562516,2470050,11,0,13895,13899,24,5400,26.03777695,31.21555519,5.177778244,26.44465661,1.352155569,634.6717587 +13897,MN,496,34,102,43,3003,2,1,10012,L020,5,15,6800,1,2,1G,63 SPRING STREET,M1-5B, , , , , , , , , ,N,S9,4,0, ,"63 SPRING LAFAYETTE,",1831,5140,1028,4112,0,1028,0,0,0,0,2,1,5,4,6,23.5,77.92,24,66, ,2,N,3,5,185956,512031,0,0,1910,1986,2014,SoHo-Cast Iron Historic District Extensi, ,2.81,0,5,6.5,1,1004960034,0,43,985023,202503,12c, ,101N075,10206, ,0, ,1, , ,17V1.1,0,192.666786,1178.213283,326075,0,0,13896,13900,5,1125,34.36800003,38.1277771,3.759777069,35.84542236,1.809950061,179.2271118 +13898,MN,279,13,103,27,1006,2,1,10038,E009,5,14,7800,1,3,1A,11 OLIVER STREET,R7-2, , , ,C2-5, ,TA, , , ,N,C3,2,0, ,"MEI SHUN, INC",819,2900,0,2900,0,0,0,0,0,0,2,1,4,4,4,20.67,37.17,21,36, ,3,Y,5,5,28149,140747,0,0,1915,0,0, , ,3.54,3.44,0,6.5,1,1002790013,0,27,984756,198940,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,118.2356724,744.2112141,112598,16,0,13897,13901,4,900,17.07600021,17.07600021,0,17.07600021,0,68.30400085 +13899,MN,849,63,105,52,1000,2,2,10010,E014,13,15,5700,1,5,1O,912 BROADWAY,M1-5M, , , , , , , , , ,N,O6,5,0, ,WALNUT POINT REALTY L,5475,97500,97500,0,86000,11500,0,0,0,0,2,1,17,0,39,96.08,73.42,96,72, ,3,Y,3,2,2700000,10297350,0,0,1916,0,0,Ladies' Mile Historic District, ,17.81,0,5,6.5,1,1008490063,0,52,987181,208725,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,327.4961064,6221.324152,7597350,7,0,13898,13902,26,5850,34.69888687,41.01555634,6.316669464,35.68426338,2.01610775,927.7908478 +13900,MN,461,41,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,231 EAST 5 STREET,R8B, , , , , , , , , ,N,C7,4,0, ,231 EAST 5TH STREET L,2425,7255,1050,6205,0,1050,0,0,0,0,2,1,5,8,10,25,97,25,54, ,3,N,5,2,156356,383454,0,0,1910,1961,0,East Village/Lower East Side Historic Di, ,2.99,4,0,4,1,1004610041,0,38,987128,204251,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,252.049228,2516.017039,227098,1,0,13899,13903,12,2700,36.55199814,39.4011116,2.849113464,37.60581366,1.259118664,451.2697639 +13901,MN,526,48,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,82 MAC DOUGAL STREET,R7-2, , , , , , , , , ,N,A5,1,0, ,FDV MACDOUGAL LLC,2002,3360,0,3360,0,0,0,0,0,0,2,1,4,1,1,20,100.08,20,42, ,3,N,5,2,45493,203718,0,0,1899,2005,0,MacDougal-Sullivan Gardens Historic Dist, ,1.68,3.44,0,6.5,1,1005260048,0,65,983842,204675,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,242.0002256,1979.23619,158225,9,0,13900,13904,9,2025,23.22699928,24.32999992,1.103000641,23.44366603,0.373891698,210.9929943 +13902,MN,622,30,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,391 BLEECKER STREET,C1-6, , , , , , , , , ,N,A4,1,0, ,FRANCIS J MENTON,1368,3240,0,3240,0,0,0,0,0,0,2,1,4,1,1,18.17,75.75,18.17,45, ,3,Y,5,2,30967,179572,0,0,1899,0,0,Greenwich Village Historic District, ,2.37,3.44,2,6.5,1,1006220030,0,73,982918,207288,12a, ,103 015,10210, ,0, ,1, , ,17V1.1,0,195.2894573,1508.446371,148605,8,0,13901,13905,8,1800,24.5988884,26.45222282,1.853334427,25.08418036,0.743282611,200.6734428 +13903,MN,137,7505,101,21,2001,2,1,10007,L010,1,15,7700, ,1, ,148 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1922,13177,2980,10197,0,2980,0,0,0,0,2,1,7.5,6,7,25.17,76.25,25,76, ,3,Y,0,5,38729,927433,2360,2360,1915,1987,0, , ,6.86,7.52,6,7.5,1,1001377505,1990,21,981500,199992,12a,Y,11S 015,10104, ,1001370032,2/24/2009,1, , ,17V1.1,7,207.36227,1949.729913,888704,14,0,13902,13906,7,1575,19.57777786,19.68199921,0.104221344,19.66711044,0.036469873,137.6697731 +13904,MN,900,1,106,64,3000,2,2,10003,E005,13,14,5900,1,6,1A,233 3 AVENUE,C1-9A,R8B, , , , , , , , ,Y,D6,4,0, ,MISSIONARY SISTERS ET,14310,157964,17775,140189,15075,0,2700,0,0,0,2,1,16,189,194,106,135,106,135,G,1,Y,3,2,1552500,17728650,596961,9850206,1959,1988,0, , ,11.04,10,2,10,1,1009000001,0,64,988564,207574,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,486.8525671,14221.31346,16176200,5,0,13903,13907,63,14175,23.24022102,26.90888977,3.668668747,23.41325814,0.764862003,1475.035263 +13905,MN,842,7,105,52,2006,2,2,10003,L003,13,15,5700,1,5,1B,7 EAST 14 STREET,C6-1,C6-4M, , , , , , , , ,Y,D4,3,0, ,VICTORIA OWNERS CORP,31800,443389,46042,397347,0,15190,30852,0,0,0,2,1,21,495,503,308,103.25,308,70, ,0,Y,5,2,6165000,47323350,447577,447577,1965,0,0, , ,13.94,3.44,6,6.5,1,1008420007,0,52,986325,207367,12c, ,102 034,10306, ,0, ,1, , ,17V1.1,0,831.8572812,33147.70639,41158400,7,0,13904,13908,145,32625,36.55699921,38.64333344,2.086334229,36.58346821,0.199809761,5304.60289 +13906,MN,529,62,102,55.02,1002,2,1,10012,L009,9,15,5700,1,2,1G,43 BLEECKER STREET,M1-5B, , , , , , , , , ,N,L3,6,0, ,ROGERS INVESTMENTS,6702,37993,37993,0,0,0,0,0,0,37993,2,1,6,8,15,85,100,85,100, ,3,Y,5,2,436500,3802500,0,0,1900,1989,0,Noho East Historic District, ,5.67,0,5,6.5,1,1005290062,0,5502,985864,203763,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,342.784758,7128.937045,3366000,9,0,13905,13909,31,6975,41.23199844,43.08333206,1.851333618,41.35986943,0.409797579,1282.155952 +13907,MN,483,10,102,45,1002,2,1,10012,E055,5,15,6800,1,2,1A,510 BROADWAY,M1-5B, , , , , , , , , ,N,D4,3,0, ,510 BROADWAY COOP INC,2500,10995,1700,9295,0,1700,0,0,0,0,2,1,5,4,5,25,100,25,93,E,3,N,5,2,173843,718641,0,0,1900,1970,2015,SoHo-Cast Iron Historic District, ,4.4,0,5,6.5,1,1004830010,0,45,984523,202443,12c, ,101N073,10206, ,0, ,1, , ,17V1.1,0,260.2190557,2628.236131,544798,0,0,13906,13910,12,2700,24.68222237,24.68222237,0,24.68222237,0,296.1866684 +13908,MN,875,58,106,50,1004,2,2,10003,E005,13,14,5300,1,6,1A,23 GRAMERCY PARK SOUTH,R7B,R8B, , , , , , , ,LH-1,Y,A4,1,0, ,BOND 23 LLC,2835,6840,0,6840,0,0,0,0,0,0,2,1,5,1,1,27,105,27,56, ,3,N,5,2,351778,1023826,0,0,1910,1941,2011,Gramercy Park Historic District, ,2.41,3,0,3,1,1008750058,0,50,988176,207885,12c, ,102 046,10307, ,0, ,1, , ,17V1.1,0,278.4606411,3062.201531,672048,5,0,13907,13911,14,3150,25.84222221,29.64333344,3.801111221,26.33142853,1.206733276,368.6399994 +13909,MN,790,36,104,81,4000,2,3,10011,L012,13,15,5600,1,4,1A,539 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,K4,4,0, ,539 6TH LLC,1586,4271,2424,1847,0,2424,0,0,0,0,2,1,4,2,4,20.33,78,20,74,E,3,N,5,2,333000,581400,0,0,1920,0,0, , ,2.69,7.52,6,7.5,1,1007900036,0,81,985118,208084,12c,Y,103 028,10305, ,0, ,1, , ,17V1.1,0,203.0205846,1690.126293,248400,7,0,13908,13912,8,1800,27.73777771,27.73777771,0,27.73777771,0,221.9022217 +13910,MN,519,17,102,37,2005,2,3,10014,E024,1,15,6800,1,2,1B,44 KING STREET,R6, , , , , , , , , ,N,C6,2,0, ,44 KING ST,2012,3200,0,3200,0,0,0,0,0,0,2,1,3,4,4,20,100.42,20,45, ,3,N,5,1,151340,413255,2360,2360,1920,1974,0,Charlton-King-Vandam Historic District, ,1.59,2.43,0,4.8,1,1005190017,0,37,983008,204347,12a, ,101N068,10206, ,0, ,1, , ,17V1.1,0,248.681078,2210.877363,261915,9,0,13909,13913,10,2250,16.83888817,21.64333344,4.804445267,17.3193327,1.44133358,173.193327 +13911,MN,898,14,106,48,2000,2,2,10003,E005,13,14,5900,1,6,1A,219 EAST 17 STREET,R7B, , , , , , , , , ,N,B1,1,0, ,"MOORE, ANA MARIA V",1380,3000,0,3000,0,0,0,0,0,0,2,1,4,2,2,15,92,15,50, ,2,N,5,2,55988,173514,1550,1550,1910,2003,0,Stuyvesant Square Historic District, ,2.17,3,0,3,1,1008980014,0,48,988478,207056,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,217.6168913,1220.048072,117526,5,0,13910,13914,6,1350,22.7840004,28.06999969,5.285999298,24.3102595,2.196737282,145.861557 +13912,MN,611,56,102,71,4003,2,3,10014,Q018,6,15,6100,1,2,2B,4 CHARLES STREET,C1-6, , , , , , , , , ,N,S2,4,0, ,"NAUTILUS, LLC",1060,3460,1592,1868,0,1592,0,0,0,0,2,1,3,2,3,20,52.5,20,35,E,3,Y,5,2,56271,119707,0,0,1910,2009,0,Greenwich Village Historic District, ,3.26,3.44,2,6.5,1,1006110056,0,71,984070,207103,12c, ,103 015,10209, ,0, ,1, , ,17V1.1,0,143.7193473,1022.97551,63436,8,0,13911,13915,5,1125,19.84000015,19.84000015,0,19.84000015,0,99.20000076 +13913,MN,526,71,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,176 SULLIVAN STREET,R7-2, , , , , , , , , ,N,B1,1,0, ,"BURTON, GEORGE A",2252,3960,0,3960,0,0,0,0,0,0,2,1,4,2,2,22.5,100.08,22.5,45, ,3,N,5,5,61656,221184,1550,1550,1899,0,0,MacDougal-Sullivan Gardens Historic Dist, ,1.76,3.44,0,6.5,1,1005260071,0,65,983918,204605,12a,Y,103 007,10206, ,0, ,1, , ,17V1.1,0,250.3206734,2293.788075,159528,9,0,13912,13916,9,2025,23.22699928,23.96444511,0.737445831,23.47770331,0.290242116,211.2993298 +13914,MN,276,11,103,8,3000,2,1,10002,E009,5,14,7800,1,3,1A,23 MONROE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,23 MONROE ST,2537,9575,2000,7575,0,2000,0,0,0,0,2,1,5,18,20,25,101.5,25,88, ,3,N,5,2,171000,385200,0,0,1915,0,0, , ,3.77,3.44,0,6.5,1,1002760011,0,8,985503,198571,12d, ,101S028,10107, ,0, ,1, , ,17V1.1,0,259.9502754,2664.137201,214200,16,0,13913,13917,11,2475,13.17555523,14.10555553,0.930000305,13.32949465,0.328482396,146.6244411 +13915,MN,542,7501,102,65,3001,2,1,10012,L009,6,15,5700,2,2, ,205 BLEECKER STREET,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, ,OWNER / AGENT,4150,21842,4000,17842,0,4000,0,0,0,0,2,1,6,40,41,76.5,96,0,0, ,0,Y,5,5,850500,4952250,11800,11800,1928,0,0, , ,5.26,3.44,0,6.5,1,1005427501,484,65,983760,205109,12a, ,103 006,10207, ,1005420064,2/8/1988,1, , ,17V1.1,7,311.791277,4504.725632,4101750,9,0,13914,13918,21,4725,18.38111115,19.81222153,1.431110382,18.56913748,0.412020354,389.9518871 +13916,MN,896,26,106,48,4000,2,2,10003,E005,13,14,5900,1,6,1A,244 EAST 15 STREET,R7B, , , , , ,TA, , , ,N,M1,8,0,X,ST MARYS GREEK CHURCH,7047,17631,17631,0,0,0,0,0,0,17631,2,1,2,0,2,68.25,103.25,57.33,83.67,E,3,N,3,1,954000,2142000,954000,2142000,1961,1988,0, , ,2.5,3,0,3,1,1008960026,0,48,988449,206310,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,343.8727235,7053.136353,1188000,5,0,13915,13919,31,6975,26.69333267,28.27777863,1.584445953,26.91953358,0.48390289,834.5055408 +13917,MN,592,61,102,71,5004,2,3,10014,E024,6,15,6100,1,2,2B,144 WAVERLY PLACE,R6, , , , , , , , , ,N,C3,2,0, ,144 WP LLC,2231,6135,0,6135,0,0,0,0,0,0,2,1,4,4,4,22.25,97.08,22,58, ,3,Y,5,5,263537,443098,0,0,1910,0,0,Greenwich Village Historic District, ,2.75,2.43,0,4.8,1,1005920061,0,71,984012,206351,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,241.8707921,2226.671405,179561,9,0,13916,13920,11,2475,17.50333405,17.79000092,0.28666687,17.53666722,0.083315105,192.9033394 +13918,MN,514,7501,102,49,1001,2,1,10012,L020,1,15,6800,1,2, ,121 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0,P,121 GREEN STREET OWNE,5004,27908,17909,9999,3929,13980,0,0,0,0,2,1,6,5,8,50,100,0,0, ,0,N,5,5,489737,6802422,2360,2360,1900,0,0,SoHo-Cast Iron Historic District, ,5.58,0,5,6.5,1,1005147501,560,49,984448,203579,12c, ,101N072,10206, ,1005140033,11/1/1988,1, , ,17V1.1,7,308.3856497,5232.910605,6312690,9,0,13917,13921,22,4950,22.59666634,22.59666634,0,22.59666634,0,497.1266594 +13919,MN,16,260,101,317.03,2010,2,1,10282,L010,1,15,8900,1,1,1A,200 WEST STREET,BPC, , , , , ,BPC, , , ,N,O4,5,0,X,GOLDMAN SACHS HEADQUA,97076,2152863,2152863,0,2152863,0,0,0,0,0,2,1,45,0,5,429.23,341.31,200,400, ,1,Y,3,2,52420950,339715800,52420950,339715800,2009,0,0, , ,22.18,0,0,0,1,1000160260,0,31703,980246,199670,12b, ,101S092,10101, ,1000160003,9/1/1999,1,1,1,17V1.1,0,1314.17614,93389.62834,287295008,3,1,13918,13922,418,94050,8.569999695,14.06444454,5.494444847,9.686688104,1.290806987,4049.035627 +13920,MN,911,13,106,70,2001,2,2,10016,L007,17,14,5800,1,6,2A,219 EAST 30 STREET,R7B, , , , , , , , , ,N,C6,2,0, ,219 E 30TH ST CORP,1407,4233,0,4233,0,0,0,0,0,0,2,2,4,5,5,14.25,98.75,14,56, ,3,N,5,5,102068,431190,0,0,1920,1987,0, , ,3.01,3,0,3,1,1009110013,0,70,990079,209983,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,228.1703294,1466.112449,329122,10,0,13919,13923,6,1350,29.22888947,29.97299957,0.744110107,29.60094452,0.372055054,177.6056671 +13921,MN,298,34,103,16,5001,2,1,10002,E015,7,14,7400,1,3,2B,43 CANAL STREET,C6-2, , , , , , , , , ,N,S4,4,0,P,LO PETER,1090,4537,1020,3517,0,1020,0,0,0,0,2,1,5,4,5,21.83,49.92,22,50, ,3,N,5,5,184931,269837,0,0,1910,1989,0, , ,4.16,6.02,6,6.5,1,1002980034,0,16,986656,199735,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,148.2661383,1131.60026,84906,13,0,13920,13924,4,900,37.64699936,37.847332,0.200332642,37.69708252,0.086746578,150.7883301 +13922,MN,573,10,102,63,3000,2,3,10011,E033,6,15,5700,1,2,3A,64 WEST 10 STREET,R6, , , , , , , , , ,N,K4,4,0,P,"64 WEST 10TH STREET,",2024,4076,4076,0,2476,1600,0,0,0,0,2,1,4,4,5,22.08,92.25,21.5,88,E,3,N,5,1,174600,1350450,0,0,1900,1987,0,Greenwich Village Historic District, ,2.01,2.43,0,4.8,1,1005730010,0,63,984736,206823,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,230.5912193,2034.950908,1175850,8,0,13921,13925,9,2025,18.98099899,21.42333412,2.442335129,19.25236956,0.767551881,173.2713261 +13923,MN,375,63,103,26.01,1000,1,2,10009,E028,9,14,6700,1,3,3A,709 EAST 5 STREET,R8B,R7A, , , , , , , , ,Y,C9,2,0,O,NYC HOUSING AUTHORITY,10038,11523,0,11523,0,0,0,0,0,0,2,1,3,15,15,107.75,97,102,30, ,0,Y,5,5,270000,979200,270000,979200,1989,0,0, , ,1.15,4,0,4,1,1003750063,0,2601,990055,202630,12c, ,102 014,10202, ,0, ,1, , ,17V1.1,0,411.0615696,10105.62961,709200,1,1,13922,13926,45,10125,9.704999924,12.3866663,2.681666374,10.84243198,0.924749767,487.9094391 +13924,MN,884,24,106,72,4002,2,2,10016,E016,13,14,5300,1,6,2A,123 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,C7,4,0, ,123 LEXINGTON LLC,1747,5460,1300,4160,0,1300,0,0,0,0,2,1,5,8,9,21.83,80,22,49, ,3,N,5,2,179016,610490,0,0,1910,1968,0, , ,3.13,6.02,6,6.5,1,1008840024,0,72,989217,209880,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,206.5800342,1778.857093,431474,11,0,13923,13927,7,1575,31.56888962,34.10889053,2.540000916,32.52968325,1.118108897,227.7077827 +13925,MN,816,74,105,54,3000,2,3,10011,L003,13,15,5700,1,5,1B,58 WEST 15 STREET,C6-2M, , , , , , , , , ,N,D0,3,0, ,58-60 W 15TH ST APT C,3194,31496,2300,29196,0,2300,0,0,0,0,2,1,10,9,10,31.25,103.25,31.25,93, ,2,N,5,2,404661,1757171,12435,12435,1920,0,0, , ,9.86,6.02,6,6.5,1,1008160074,0,54,985382,208010,12c, ,102 033,10306, ,0, ,1, , ,17V1.1,0,274.705731,3270.004983,1352510,7,0,13924,13928,15,3375,28.19599915,30.46111107,2.265111923,28.46273994,0.686885164,426.9410992 +13926,MN,545,26,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,740 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,LAFAYETTE-ASTOR ASSOC,40513,316832,316832,0,294392,22440,0,0,0,0,2,3,12,0,43,92.08,274,92.33,75, ,3,Y,3,2,6660000,41606100,0,0,1910,1979,0,NoHo Historic District, ,7.82,0,5,6.5,1,1005450026,0,57,986373,205121,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,894.2623252,43322.08593,34946100,9,0,13925,13929,192,43200,38.29555511,40.81111145,2.515556335,38.42325421,0.468287198,7377.264809 +13927,MN,806,63,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,140 WEST 31 STREET,M1-6, , , , , , , , , ,N,O5,5,0, ,1-S REALTY CORP,4900,17923,17923,0,13423,4500,0,0,0,0,2,1,4,0,5,50,98.75,50,99,E,3,Y,5,2,454500,1265400,0,0,1926,0,0, , ,3.66,0,10,10,1,1008060063,0,101,986754,211943,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,302.0345277,5125.773485,810900,6,0,13926,13930,21,4725,37.55799866,38.86421967,1.306221008,37.76418922,0.387693953,793.0479736 +13928,MN,771,20,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,233 WEST 21 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,233 W 21 ST INC,4938,20748,0,20748,0,0,0,0,0,0,2,1,6,31,31,50,98.75,50,83, ,3,N,5,2,387000,1872450,9440,9440,1920,1986,0, , ,4.2,4,0,4,1,1007710020,0,87,984797,210214,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,301.4702004,5049.259751,1485450,7,0,13927,13931,22,4950,22.40399933,22.40399933,0,22.40399933,0,492.8879852 +13929,MN,615,7,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,313 WEST 4 STREET,R6, , , , , , , , , ,N,S2,4,0, ,313 WEST 4 LLC,1503,3020,0,3020,0,0,0,0,0,0,2,1,3,2,3,20,75.17,20,42, ,3,N,5,2,74695,165057,0,0,1915,0,0,Greenwich Village Historic District, ,2.01,2.43,0,4.8,1,1006150007,0,77,983251,207891,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,193.2727675,1471.725543,90362,8,0,13928,13932,7,1575,23.05999947,23.05999947,0,23.05999947,0,161.4199963 +13930,MN,746,4,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,204 9 AVENUE,R7B, , , ,C1-5, , , , , ,N,C7,4,0,P,"204 NINTH AVENUE, LL",2469,9960,1000,8960,0,1000,0,0,0,0,2,1,6,8,9,24.67,100,24.67,75,E,0,N,5,2,107496,506766,0,0,1920,2006,0,Chelsea Historic District Extension, ,4.03,3,0,3,1,1007460004,0,93,983890,211055,8b, ,105S007,10303, ,0, ,1, , ,17V1.1,0,249.8383335,2532.267531,399270,2,0,13929,13933,11,2475,15.97222233,15.97222233,0,15.97222233,0,175.6944456 +13931,MN,206,4,102,41,5004,2,1,10013,L006,5,15,6800,1,2,1F,119 BAXTER STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0, ,119 BAXTER LLC,2531,11880,1980,9900,0,1980,0,0,0,0,2,2,6,22,24,24.92,100.25,25,56, ,3,N,5,2,171000,457200,0,0,1910,0,0, , ,4.69,6.02,6,6.5,1,1002060004,0,41,984581,200824,12c, ,101N048,10105, ,0, ,1, , ,17V1.1,0,257.9525583,2571.64522,286200,0,0,13930,13934,11,2475,25.95999908,25.95999908,0,25.95999908,0,285.5599899 +13932,MN,223,35,101,39,1012,2,1,10013,L008,1,15,7700,1,1,3B,438 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,O1,5,0,P,PONTE EQUITIES INC,3276,3250,3250,0,3250,0,0,0,0,0,2,1,1,0,1,41.83,77.75,42,78, ,2,N,3,2,184500,459450,0,0,1920,0,0,Tribeca North Historic District, ,0.99,6.02,6,6.5,1,1002230035,0,39,981510,202665,12a, ,101N040,10105,E-257,0, 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ROSEN, AS",6662,75588,75588,0,66588,9000,0,0,0,0,2,1,11,0,27,74,90,74,90, ,2,N,3,2,2340000,7653600,0,0,1910,0,0, , ,11.35,10,10,10,1,1008860001,0,72,989022,210553,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,356.7952893,7886.582659,5313600,10,0,13934,13938,36,8100,33.23199844,42.35333252,9.121334076,33.84967136,2.15700695,1218.588169 +13936,MN,585,33,102,73,3002,2,3,10014,E024,6,15,6400,1,2,2B,68 BARROW STREET,R6, , , , , , , , , ,N,C6,2,0, ,85 BEDFORD OWNERS INC,870,3465,0,3465,0,0,0,0,0,0,2,1,5,5,5,22,58,22,46, ,3,Y,5,2,100992,239791,5295,5295,1910,1982,0,Greenwich Village Historic District, ,3.98,2.43,0,4.8,1,1005850033,0,73,982694,205890,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,154.7370048,916.3614381,138799,9,0,13935,13939,4,900,18.5988884,18.5988884,0,18.5988884,0,74.39555359 +13937,MN,545,6,102,57,2003,2,2,10003,E033,9,15,5700,1,2,2A,708 BROADWAY,M1-5B, , , , , , , , , ,N,O6,5,0,P,NEW YORK UNIVERSITY,16740,127143,127143,0,112143,15000,0,0,0,0,2,2,10,0,18,25,275.08,25,137, 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,1006950044,7/7/2015,1,1,1,17V1.1,7,349.7214602,7499.479749,8230950,2,1,13972,13976,34,7650,8.416999817,8.416999817,0,8.416999817,0,286.1779938 +13974,MN,846,7503,105,52,1003,2,2,10003,E014,13,15,5700,1,5, ,868 BROADWAY,M1-5M, , , , , , , , , ,N,RC,5,0, , ,2375,7533,7533,0,4529,3004,0,0,0,0,2,1,4,0,2,0.05,0,25,88, ,0,Y,0,5,270000,2724034,0,0,2007,2011,0, , ,3.17,0,5,6.5,1,1008467503,2443,52,987047,207948,12c, ,102 044,10306, ,1008460055,7/17/2014,1, , ,17V1.1,7,246.4679456,2391.242442,2454030,7,0,13973,13977,10,2250,41.51599884,41.51599884,0,41.51599884,0,415.1599884 +13975,MN,797,7508,104,87,1000,2,3,10011,L012,13,15,5600,1,4, ,151 WEST 21 STREET,C6-3A, , , , , , , , , ,N,R4,3,0, , ,7724,55378,0,55378,0,0,0,0,0,0,2,1,14,50,50,78.22,98.75,78.22,51, ,0,N,0,5,1349997,10570049,0,4240500,2012,0,0, , ,7.17,7.52,6,7.5,1,1007977508,2280,87,985505,209823,8d, ,103 030,10305, ,1007970012,9/10/2014,1, , ,17V1.1,7,365.8674574,8207.892994,9220050,7,0,13974,13978,36,8100,28.16444397,32.20555496,4.041110992,28.89669715,1.135134001,1040.281097 +13976,MN,821,7506,105,54,1002,2,3,10011,E014,13,15,5700,1,5, ,636 AVENUE OF THE AMER,C6-2A,C6-4A, , , , , , , , ,Y,RC,5,0, , ,10750,73270,73270,0,55707,17563,0,0,0,0,2,1,7,0,2,0.24,0,68,152, ,2,N,0,5,1575000,13659138,0,0,1902,2011,0, , ,6.82,6.02,6,6.5,1,1008217506,2467,54,985886,209035,8d, ,102 041,10306, ,1008210001,9/25/2014,1, , ,17V1.1,7,461.6646393,11582.16481,12084100,7,0,13975,13979,52,11700,32.91555405,34.12666702,1.211112976,32.95217807,0.190028415,1713.51326 +13977,MN,390,7503,103,26.02,2001,1,2,10009,L011,9,14,6700,4,3, ,227 EAST 7 STREET,R7A, , , ,C1-5, , , , , ,N,R1,2,0, , ,1950,6245,0,6245,0,0,0,0,0,0,2,1,6,6,6,0.04,0,20,63.5, ,3,N,0,5,171136,781375,0,0,2013,0,0, , ,3.2,4,0,4,1,1003907503,2471,2602,990049,203200,12c, ,102 022,10203, ,1003900039,10/30/2014,1, ,1,17V1.1,7,244.5418814,2205.330246,610239,12,1,13976,13980,9,2025,7.409999847,9.23777771,1.827777863,8.051209821,0.661553994,72.46088839 +13978,MN,458,7502,103,36.02,2000,1,2,10003,E028,9,14,6500,3,3, ,327 BOWERY,C6-1, , , , , , , , , ,N,RM,4,0, , ,1877,8577,3971,4606,0,3971,0,0,0,0,2,1,4,3,4,25.31,79,25,76, ,3,Y,5,5,154354,1113970,0,0,1900,1988,0, , ,4.57,3.44,6,6.5,1,1004587502,2515,3602,986556,203669,12c, ,102 009,10205, ,1004580002,10/30/2014,1, , ,17V1.1,7,211.2743608,2010.669876,959616,1,0,13977,13981,9,2025,39.7840004,43.88222122,4.098220825,40.28906208,1.278007833,362.6015587 +13979,MN,434,7505,103,32,2000,1,2,10009,L011,9,14,6600,3,3, ,415 EAST 6 STREET,R8B, , , , , , , , , ,N,RM,4,0, , ,1998,7674,1969,5705,0,0,0,0,0,1969,2,1,5,3,4,22,90.83,22,85, ,0,N,0,5,141300,207400,0,0,1920,1986,0, , ,3.84,4,0,4,1,1004347505,2507,32,988327,203874,12c, ,102 020,10205, ,1004340050,12/1/2014,1, , ,17V1.1,7,234.0007274,2089.993488,66100,1,0,13978,13982,10,2250,20.12299919,21.5514431,1.428443909,20.26584358,0.428533173,202.6584358 +13980,MN,412,7501,103,30.01,1001,1,1,10002,L018,7,14,6600,2,3, ,180 ORCHARD STREET,C4-4A, , , , , , , , , ,N,RC,5,0, , ,15611,199408,32478,0,0,10778,21700,0,0,0,2,1,24,0,2,0.35,0,128.17,175, ,0,Y,0,5,1826550,31077900,0,0,2008,0,0, , ,12.77,4,4,4,1,1004127501,2480,3001,987532,202232,12c, ,100 000,10204, ,1004120005,7/17/2014,1, , ,17V1.1,7,617.7498512,16144.8531,29251400,1,0,13979,13983,72,16200,31.02499962,35.85333252,4.828332901,34.1117176,1.258378362,2456.043667 +13981,MN,702,10,104,99,1015,2,3,10001,E034,10,15,5500,1,4,2B,501 WEST 30 STREET,C6-4, , , , , ,HY, , , ,N,O4,5,0,X,LEGACY YARDS TENANT L,79943,1809073,1809073,0,1725250,0,83823,0,0,0,2,1,48,0,1,630.49,192.17,241,180, ,1,N,0,2,25904250,367354350,25904250,367354350,2013,0,0, , ,22.63,10,10,10,1,1007020010,0,99,983813,213506,8b,Y,105S015,10302,E-137,0, ,1, , ,17V1.1,0,1238.645262,82082.44623,341449984,6,1,13980,13984,366,82350,9.314444542,19.04777718,9.733332634,13.64728534,2.167884722,4994.906436 +13982,MN,180,7512,101,39,4006,2,1,10013,E007,1,15,7700,3,1, ,7 HARRISON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,5098,31071,1973,29098,0,1973,0,0,0,0,2,1,8,12,13,50.83,100.42,50,100, ,0,Y,0,5,231298,4231351,0,0,1900,0,0, , ,6.09,6.02,6,6.5,1,1001807512,2519,39,981612,201038,12a, ,101S037,10105, ,1001800029,12/1/2014,1, , ,17V1.1,7,314.5870232,5492.33723,4000050,14,0,13981,13985,24,5400,15.85299969,18.45111084,2.598111153,16.20010626,0.775023904,388.8025503 +13983,MN,646,18,102,79,1001,2,3,10014,L005,6,15,6100,1,2,3B,440 WEST 14 STREET,M1-5, , , , , , , , , ,N,K3,5,0, ,389 WEST 12TH STREET,7743,31449,31449,0,0,13006,0,0,0,0,2,1,5,0,3,75,103.25,25,103,E,0,N,3,2,517500,4525200,0,0,1920,0,0,Gansevoort Market Historic District, ,4.06,0,5,6.5,1,1006460018,0,79,982202,209421,8b, ,103 039,10210, ,1006460018,12/15/2014,1, ,1,17V1.1,0,364.7503317,8165.56714,4007700,8,1,13982,13986,35,7875,10.01500034,11.10222244,1.087222099,10.04606383,0.181129707,351.6122341 +13984,MN,577,7502,102,63,1000,2,3,10011,L003,6,15,5700,3,2, ,65 WEST 13 STREET,C6-2,C6-3A, , , , , , , , ,Y,RM,4,0, ,THE GREENWICH CONDOMI,23231,233409,54476,178933,0,54476,0,0,0,0,2,1,12,77,78,206.5,125,206.5,125, ,0,Y,0,5,4859992,37732499,21240,21240,1906,0,0, , ,10.05,6.02,6,6.5,1,1005777502,1180,63,985139,207727,12c, ,103 320,10207, ,1005770001,2/22/2001,1, , ,17V1.1,7,697.4312566,25915.30001,32872500,8,0,13983,13987,114,25650,26.51555634,30.09499931,3.579442978,29.79419041,0.806295222,3396.537706 +13985,MN,419,65,103,18,7001,2,1,10002,L006,5,14,7400,1,3,1A,139 ELDRIDGE STREET,C6-2A, , , , , , , , , ,N,C7,4,0, ,139 ELDRIDGE LLC,2525,10845,1000,9845,0,1000,0,0,0,0,2,1,6,22,24,25.25,100,25,85, ,3,N,5,2,270000,1704150,0,0,1900,1988,0, , ,4.3,6.02,6,6.5,1,1004190065,0,18,986548,201305,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,256.0417355,2632.426447,1434150,13,0,13984,13988,11,2475,39.86888886,39.86888886,0,39.86888886,0,438.5577774 +13986,MN,745,60,104,89,5000,2,3,10011,L012,10,15,5600,1,4,1B,342 WEST 22 STREET,R7B, , , , , , , , , ,N,C0,2,0,P,"FORSTER, WILLIAM D",2057,4024,0,2988,0,0,0,0,0,0,2,1,3,3,3,20.83,98.75,20.83,44,E,3,N,5,1,60134,165288,0,0,1910,0,0,Chelsea Historic District Extension, ,1.96,3,0,3,1,1007450060,0,89,984009,210767,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,239.8818001,2050.266785,105154,7,0,13985,13989,9,2025,15.9989996,18.68666649,2.687666893,16.72895061,0.981026715,150.5605555 +13987,MN,619,13,102,73,2000,2,3,10014,L005,6,15,6400,1,2,2B,244 WEST 10 STREET,R6,C1-6, , , , , , , , ,Y,C4,2,0, ,FUTURE TENTH ASSOC L.,2425,8590,0,8590,0,0,0,0,0,0,2,2,5,26,26,25,97,31,51, ,3,Y,5,2,495000,1335150,0,0,1920,1987,0,Greenwich Village Historic District, ,3.54,2.43,0,4.8,1,1006190013,0,73,982649,206555,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,0,243.1904157,2359.538278,840150,9,0,13986,13990,9,2025,20.56999969,20.56999969,0,20.56999969,0,185.1299973 +13988,MN,607,44,102,71,3000,2,3,10011,Q018,6,15,6100,1,2,3B,471 AVENUE OF THE AMER,C1-6, , , , , , , , , ,N,S2,4,0, ,MAR-RICH HOLDING CORP,1200,2680,884,1796,0,884,0,0,0,0,2,1,3,2,3,20,60,20,40, ,3,N,5,2,42818,108656,0,0,1910,0,0,Greenwich Village Historic District, ,2.23,3.44,2,6.5,1,1006070044,0,71,984708,207328,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,162.8027851,1228.018314,65838,8,0,13987,13991,5,1125,21.80333328,21.80333328,0,21.80333328,0,109.0166664 +13989,MN,276,7502,103,8,3000,2,1,10002,E009,5,14,7800,1,3, ,11 MONROE STREET,R7-2, , , , , , , , , ,N,RM,4,0, ,THE EXCEL CONDOMINIUM,2533,9571,2915,6656,0,2915,0,0,0,0,2,1,6,10,12,25,101.33,25,65, ,0,N,5,5,89099,1210049,13177,234316,2004,0,0, , ,3.78,3.44,0,6.5,1,1002767502,1854,8,985353,198554,12d, ,11S 028,10107, ,1002760005,5/21/2008,1, , ,17V1.1,7,257.7936789,2557.738236,1120950,16,0,13988,13992,11,2475,13.17555523,13.17555523,0,13.17555523,0,144.9311075 +13990,MN,194,7507,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,46 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,4413,26612,0,26612,0,0,0,0,0,0,2,1,7,11,11,47.25,93.42,47,84, ,3,N,0,5,255149,2919153,0,0,1895,0,0, , ,6.03,6.02,6,6.5,1,1001947507,2378,33,983317,201432,12a, ,101N046,10105, ,1001940026,7/11/2013,1, , ,17V1.1,7,287.5672814,4524.532111,2664000,0,0,13989,13993,21,4725,12.8255558,15.09888935,2.27333355,13.10920661,0.708280372,275.2933388 +13991,MN,695,47,104,99,1041,2,3,10011,E003,10,15,5500,1,4,2B,514 WEST 24 STREET,C6-2A, , , , , ,WCH, , , ,N,D6,4,0, ,514 WEST 24TH OWNER L,7406,46793,5496,41297,0,5306,0,0,0,190,7,2,0,14,16,75,98.75,0,0, ,3,N,5,2,562050,754200,0,0,0,0,0, , ,6.32,6.02,6,6.5,1,1006950047,0,99,982917,212006,8b, ,105S003,10301,E-92,0, ,1,1,1,17V1.1,0,350.4502042,7535.690744,192150,2,1,13990,13994,32,7200,8.416999817,8.416999817,0,8.416999817,0,269.3439941 +13992,MN,800,68,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,152 WEST 25 STREET,M1-6, , , , , , , , , ,N,L1,6,0, ,DEZER PROPERTIES IIIL,5530,66115,66115,0,0,5200,0,60915,0,0,2,1,12,8,21,56,98.75,56,90,E,2,N,5,2,846000,3842550,0,0,1911,1988,0, , ,11.96,0,10,10,1,1008000068,0,91,985897,210650,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,314.6751597,5657.470022,2996550,2,0,13991,13995,25,5625,33.84199905,37.9066658,4.064666748,34.27067459,1.177751132,856.7668648 +13993,MN,584,61,102,67,4001,2,3,10014,E024,6,15,6400,1,2,2B,79 BEDFORD STREET,R6, , , , , , , , , ,N,D4,3,0, ,PENMARK REALTY CORP,5556,24635,0,24635,0,0,0,0,0,0,2,1,6,36,36,74.75,74.33,74,58, ,1,Y,3,2,421200,2790900,44840,44840,1954,1987,0,Greenwich Village Historic District, ,4.43,2.43,0,4.8,1,1005840061,0,67,982805,205830,12a, ,103 004,10208, ,0, ,1, , ,17V1.1,0,312.3451086,6096.475403,2369700,9,0,13992,13996,27,6075,18.09222221,19.7211113,1.628889084,18.31009462,0.484138839,494.3725548 +13994,MN,447,19,103,38,5000,1,2,10003,E028,9,14,6500,1,3,3B,326 EAST 6 STREET,R8B, , , , , , , , , ,N,C7,4,0,P,320-326 RO VILLAGE RE,2425,6960,1350,5610,0,1350,0,0,0,0,2,1,5,16,18,25,97,25,67, ,3,N,5,1,135000,1012500,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,2.87,4,0,4,1,1004470019,0,38,987748,204022,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,249.5926084,2475.367342,877500,1,0,13993,13997,12,2700,28.15800095,30.54777718,2.38977623,28.92520428,0.996121953,347.1024513 +13995,MN,498,23,102,49,1004,2,1,10012,L020,1,15,6800,1,2,1A,529 BROADWAY,M1-5B, , , , , , , , , ,N,K2,5,0, ,529 BROADWAY HOLDINGS,8776,44243,44243,0,0,44243,0,0,0,0,2,1,6,0,1,50,150.25,50,148, ,3,Y,3,2,2025000,34132050,0,0,1940,2015,2015,SoHo-Cast Iron Historic District, ,5.04,0,5,6.5,1,1004980023,0,49,984511,202796,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,467.4610419,9577.231879,32107100,0,0,13994,13998,44,9900,29.75499916,30.06999969,0.315000534,29.76215826,0.046945378,1309.534964 +13996,MN,593,49,102,71,5001,2,3,10014,E024,6,15,6100,1,2,2B,12 GAY STREET,R6, , , , , , , , , ,N,A5,1,0, ,"LUCINA INTERNATIONAL,",1536,4346,0,3576,0,0,0,0,0,0,2,1,3.5,1,1,22.33,70.75,22.33,35, ,2,Y,5,1,34655,214329,0,0,1925,2010,0,Greenwich Village Historic District, ,2.83,2.43,0,4.8,1,1005930049,0,71,984076,206549,12c, ,103 017,10208, ,0, ,1, , ,17V1.1,0,176.8662557,1387.143352,179674,8,0,13995,13999,6,1350,17.50333405,17.50333405,0,17.50333405,0,105.0200043 +13997,MN,406,42,103,34,1001,1,2,10009,L011,9,14,6200,1,3,4A,543 EAST 12 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,C7,4,0, ,OGRIN MASTER LLC #3,3622,11951,500,11451,0,500,0,0,0,0,2,2,5,19,20,35.08,103.25,35,66, ,3,N,5,2,495000,1216350,0,0,1900,1987,0, , ,3.3,4,0,4,1,1004060042,0,34,989983,204685,12c, ,102 029,10203, ,0, ,1, , ,17V1.1,0,285.0555735,3849.688026,721350,12,1,13996,14000,18,4050,11.35888863,13.87222195,2.513333321,11.88765409,0.858930406,213.9777737 +13998,MN,595,87,102,37,1006,2,3,10013,L008,1,15,6800,1,2,1B,553 CANAL STREET,M2-4, , , , , , , , , ,N,Y6,7,0,C,SANITATION,14575,7500,7500,0,0,0,0,0,0,7500,2,1,1,0,1,176.43,153.85,0,0, ,0,Y,3,5,852750,1805400,852750,852750,2014,2014,0, , ,0.51,0,5,0,1,1005950087,0,37,981354,203727,12a, ,101N063,10208, ,0, ,1,1,1,17V1.1,0,537.2599083,15465.10291,952650,0,1,13997,14001,70,15750,7.427777767,7.700333118,0.272555351,7.431671415,0.032343068,520.2169991 +13999,MN,418,39,103,18,6001,2,1,10002,L006,5,14,7400,1,3,1A,301 BROOME STREET,C4-4A, , , , , , , , , ,N,K1,5,0, ,"STAR FERRY REALTY,INC",1918,1827,1827,0,0,1827,0,0,0,0,2,1,1,0,1,21.92,87.5,22,88, ,3,N,5,0,63000,462600,0,0,1920,0,0, , ,0.95,4,4,4,1,1004180039,0,18,986377,201066,12c, ,101N078,10204,E-216,0, ,1, , ,17V1.1,0,228.827349,2132.453245,399600,13,0,13998,14002,10,2250,37.89666748,41.55555725,3.658889771,38.26255646,1.097666931,382.6255646 +14000,MN,400,1,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,58 AVENUE A,R7A, , , ,C2-5, , , , , ,N,D6,4,0, ,72A REALTY ASSOCIATES,19266,79956,4000,75956,0,4000,0,0,0,0,2,1,6,76,84,192.33,100.17,192,90, ,1,N,3,2,1800000,7777800,0,0,1940,0,0, , ,4.15,4,0,4,1,1004000001,0,32,988591,203210,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,602.217128,20220.42728,5977800,1,0,13999,14003,89,20025,16.67300034,22.28444481,5.611444473,17.8439429,1.830593777,1588.110918 +14001,MN,465,37,103,40,3001,1,2,10003,E033,9,14,6200,1,3,4B,28 STUYVESANT STREET,R8B, , , , , , , , , ,N,W4,8,0,X,NEW YORK UNIVERSITY,4932,25800,25800,0,0,0,0,0,0,25800,2,1,6,0,1,98,70,95,72, ,3,Y,3,2,553500,4281300,553500,4281300,1920,1986,0, , ,5.23,4,0,4,1,1004650037,0,40,987544,205150,12c, ,102 018,10205, ,1004650037,3/26/2012,1, , ,17V1.1,0,430.2066748,10178.00881,3727800,12,0,14000,14004,48,10800,31.03333282,35.67666626,4.643333435,31.79995338,1.601183539,1526.397762 +14002,MN,746,25,104,93,2001,2,3,10011,L012,10,15,5200,1,4,1B,321 WEST 22 STREET,R7B, , , , , , , , , ,N,C5,2,0, ,"HOROWITZ, L. FAMILYLI",2256,6100,0,6100,0,0,0,0,0,0,2,1,4,8,8,21.83,98.75,22,52, ,3,N,5,1,102198,475744,0,0,1900,0,0,Chelsea Historic District Extension, ,2.7,3,0,3,1,1007460025,0,93,984275,210798,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,248.2651833,2365.520714,373546,2,0,14001,14005,12,2700,15.97222233,19.4244442,3.45222187,17.05490772,1.320315617,204.6588926 +14003,MN,863,17,105,74,1002,2,4,10016,L024,14,15,5200,1,5,1A,172 MADISON AVENUE,C5-2, , , , , , , , , ,N,D6,4,0, ,MADISON 33 OWNER LLC,10704,128254,4361,123893,0,4361,0,0,0,0,2,3,34,69,70,120,84.06,120,83, ,1,Y,5,0,4487850,11320200,0,0,2015,2015,0, , ,11.98,10,10,10,1,1008630017,0,74,988784,211577,8d, ,104 018,10306, ,1008630017,7/17/2014,1, , ,17V1.1,0,463.7962319,11074.93753,6832350,10,0,14002,14006,50,11250,46.73055649,50.24222183,3.511665344,47.79706711,1.123842823,2389.853355 +14004,MN,72,7,101,15.02,2015,2,1,10038,E004,1,15,7700,1,1, ,151 MAIDEN LANE,C5-3, , , , , ,LM, , , ,N,H2,5,0, ,151 MAIDEN LLC,6700,111188,0,0,0,0,0,0,0,0,2,2,33,0,271,132.2,53.3,131,36, ,1,Y,3,2,1327050,4603160,0,0,2016,2016,0, , ,16.6,10,15,15,1,1000720007,0,1502,982844,196399,12b, ,101S008,10102, ,1000720002,8/25/2014,1,1,1,17V1.1,0,384.8749289,7408.13143,3276110,4,1,14003,14007,33,7425,5.993332863,6.392222404,0.398889542,6.03461241,0.099357304,199.1422095 +14005,MN,72,2,101,15.02,2015,2,1,10038,E004,1,15,7700,1,1, ,161 MAIDEN LANE,C5-3, , , , , ,LM, , , ,N,D8,3,0, ,"FPG MAIDEN LANE, LLC",4836,166636,0,166636,0,0,0,0,0,0,2,1,57,80,80,104.49,48.22,105,46, ,1,Y,3,0,958050,2242208,0,0,2016,2016,0, , ,34.46,10,15,15,1,1000720002,0,1502,982928,196309,12b, ,101S008,10102, ,1000720002,8/25/2014,1,1,1,17V1.1,0,307.827736,5142.260521,1284160,4,1,14004,14008,22,4950,5.993332863,6.01777792,0.024445057,5.994444002,0.005091878,131.877768 +14006,MN,545,7504,102,57,2003,2,2,10003,E033,9,15,5700,2,2, ,738 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,3019,15923,5547,10376,0,5547,0,0,0,0,2,1,5,4,5,25,125,25,110, ,0,N,0,5,142994,714609,0,0,1900,0,0, , ,5.27,0,5,6.5,1,1005457504,2508,57,986242,205096,12c, ,103 024,10207, ,1005450023,7/31/2014,1, , ,17V1.1,7,304.8781119,3222.720048,571615,9,0,14005,14009,14,3150,38.29555511,39.84666824,1.551113129,38.40634891,0.399472709,537.6888847 +14007,MN,144,7504,101,33,3022,2,1,10013,E007,1,15,7700,3,1, ,50 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4032,16184,10355,5829,8410,1945,0,0,0,0,2,1,4,1,5,59.67,113.58,59.67,113.58, ,0,Y,0,5,360000,2144701,0,0,1925,0,0, , ,4.01,6.02,6,6.5,1,1001447504,2490,33,981827,200629,12a, ,101S035,10104, ,1001440022,7/31/2014,1, , ,17V1.1,7,295.3233725,4210.880227,1784700,14,0,14006,14010,19,4275,11.09777832,11.09777832,0,11.09777832,0,210.8577881 +14008,MN,828,51,105,58,1002,2,3,10001,E001,13,15,5700,1,5,1B,1151 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0, ,PREMIER 1151-1153 BRO,3985,10662,10662,0,4830,1500,0,0,0,0,2,2,4,0,6,49.88,76.33,25,74,E,0,Y,5,5,450000,1228516,0,0,1930,1989,2014,Madison Square North Historic District, ,2.68,0,10,10,1,1008280051,0,58,987244,210451,8d, ,104 002,10306, ,1008280051,8/11/2014,1, , ,17V1.1,0,280.7951615,4283.422271,778516,2,0,14007,14011,17,3825,42.13444519,42.13444519,0,42.13444519,0,716.2855682 +14009,MN,151,32,101,33,1010,2,1,10007,L001,1,15,7700,1,1,3A,305 BROADWAY,C6-4A, , , , , , , , , ,N,O6,5,0, ,READE BROADWAY ASSOC.,9300,132600,132600,0,122400,10200,0,0,0,0,2,1,14,0,31,75.04,122.17,75,125, ,3,Y,3,2,1953000,10952550,0,0,1900,0,0, ,MUTUAL RESERVE FUND LIFE ASSOCIATIO,14.26,10,10,10,1,1001510032,0,33,982697,199964,12b,Y,101S033,10104, ,0, ,1, , ,17V1.1,0,407.0889776,9586.400895,8999550,14,0,14008,14012,43,9675,23.98999977,32.59999847,8.609998703,24.1902323,1.297655093,1040.179989 +14010,MN,486,20,102,49,1009,2,1,10012,E055,1,15,6800,1,2,1A,79 GREENE STREET,M1-5A, , , , , , , , , ,N,L8,6,0, ,79 GREENE LLC,2500,10175,10175,0,0,2300,0,7875,0,0,2,1,4,0,3,25,100,25,92,E,3,N,5,2,562500,2097000,0,0,1900,1989,0,SoHo-Cast Iron Historic District, ,4.07,0,5,6.5,1,1004860020,0,49,984024,202919,12c, ,101N070,10206, ,0, ,1, , ,17V1.1,0,257.9901298,2630.887737,1534500,0,0,14009,14013,12,2700,11.1744442,19.91066742,8.736223221,11.9024628,2.414564542,142.8295536 +14011,MN,540,2,102,65,2001,2,1,10012,L009,6,15,5700,1,2,2A,106 MAC DOUGAL STREET,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,JEROME J. NASH REVOCA,2500,11364,1800,9564,0,1800,0,0,0,0,2,1,6,22,24,25,100,25,88, ,3,N,5,2,274500,1120500,0,0,1900,0,0,South Village Historic District, ,4.55,3.44,0,6.5,1,1005400002,0,65,984058,205012,12c, ,103 007,10207, ,0, ,1, , ,17V1.1,0,258.891378,2712.193467,846000,9,0,14010,14014,12,2700,22.5755558,24.29777718,1.722221375,22.71907425,0.475996842,272.628891 +14012,MN,308,25,103,16,4002,2,1,10002,E015,7,14,7400,1,3,2B,43 ORCHARD STREET,C6-2, , , , , , , , , ,N,D1,3,0,P,ORCHARD & GRAND LLC,2395,12900,0,12900,0,0,0,0,0,0,2,1,7,10,10,36.5,66,37,66, ,3,Y,5,2,328807,634237,0,0,1900,2007,2007, , ,5.39,6.02,6,6.5,1,1003080025,0,16,986644,200262,12c, ,101N051,10107, ,0, ,1, , ,17V1.1,0,210.7771364,2556.202292,305430,13,0,14011,14015,11,2475,36.62400055,36.62400055,0,36.62400055,0,402.864006 +14013,MN,304,14,103,16,1001,2,1,10002,L006,5,14,7400,1,3,1A,121 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,121 BOWERY REALTY COR,2577,9249,9249,0,4625,2312,0,2312,0,0,2,1,3,0,3,25.17,102.67,25,103,E,3,Y,5,2,183150,1042200,0,0,1900,0,0, , ,3.59,3.44,6,6.5,1,1003040014,0,16,985730,200876,12c, ,101N049,10107, ,0, ,1, , ,17V1.1,0,262.7501761,2672.186934,859050,0,0,14012,14016,12,2700,34.17111206,34.17111206,0,34.17111206,0,410.0533447 +14014,MN,770,62,104,87,5000,2,3,10011,L012,10,15,5600,1,4,1A,240 WEST 21 STREET,R8B, , , , , , , , , ,N,A4,1,0, ,"BARISH,LEORA",2162,3600,0,3600,0,0,0,0,0,0,2,1,3,1,1,19.67,109.5,20,60, ,3,Y,5,2,51641,152928,0,0,1901,2004,0, , ,1.67,4,0,4,1,1007700062,0,87,984702,210081,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,264.9666036,2146.320855,101287,7,0,14013,14017,9,2025,22.20999908,25.28777695,3.077777863,22.74141905,1.045523962,204.6727715 +14015,MN,590,87,102,67,1000,2,3,10014,E024,6,15,6400,1,2,1B,29 JONES STREET,R7-2,C2-6, , , , , , , , ,Y,D1,3,0, ,29 JONES CO,2500,9375,0,9375,0,0,0,0,0,0,2,1,5,20,20,25,100,25,74, ,3,N,5,2,242100,1186200,0,0,1890,1986,0,Greenwich Village Historic District Exte, ,3.75,3.44,0,6.5,1,1005900087,0,67,983408,205984,12a, ,103 005,10208, ,0, ,1, , ,17V1.1,0,254.0331425,2550.327443,944100,9,0,14014,14018,10,2250,19.74111176,19.74111176,0,19.74111176,0,197.4111176 +14016,MN,615,4,102,77,5000,2,3,10014,Q018,6,15,6100,1,2,3B,307 WEST 4 STREET,R6, , , , , , , , , ,N,A4,1,0, ,"TWO LIVES, LLC",1440,3710,0,2730,0,0,0,0,0,0,2,1,3,1,1,20,71.75,20,42,E,3,Y,5,1,70049,232346,0,0,1899,2011,0,Greenwich Village Historic District, ,2.58,2.43,0,4.8,1,1006150004,0,77,983259,207832,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,191.8350791,1586.652519,162297,8,0,14015,14019,7,1575,23.05999947,23.82999992,0.770000458,23.16999953,0.269444032,162.1899967 +14017,MN,692,7502,104,99,1033,2,3,10011,E003,10,15,5500,1,4, ,500 WEST 21 STREET,C6-2, , , , , ,WCH, , , ,N,RM,4,0, , ,0,89431,0,89431,0,0,0,0,0,0,7,1,8,33,34,0,0,0,0, ,0,N,0,5,1884149,15525001,0,0,0,0,0, , ,0,6.02,6,6.5,1,1006927502,2549,99,982691,211151,8b, ,103 044,10301, ,1006920030,7/8/2016,1,1,1,17V1.1,7,589.7522435,20244.47013,13640900,7,1,14016,14020,88,19800,8.291999817,10.18888855,1.896888733,8.384186701,0.343860107,737.8084297 +14018,MN,526,77,102,65,3003,2,3,10012,L009,6,15,5700,1,2,2A,134 WEST HOUSTON STREET,R7-2, , , , , , , , , ,N,C7,4,0,P,134-136 WEST HOUSTON,3110,7816,1760,6056,0,1760,0,0,0,0,2,2,3,8,10,40,77.75,40,64, ,3,N,5,2,412646,471476,0,0,1900,2015,0, , ,2.51,3.44,0,6.5,1,1005260077,0,65,983847,204515,12a, ,103 007,10206, ,1005260077,7/27/2015,1, , ,17V1.1,0,240.8063004,3274.45025,58830,9,0,14017,14021,15,3375,23.22699928,23.31877708,0.091777802,23.2331178,0.022893406,348.496767 +14019,MN,806,3,105,101,1006,2,3,10001,L024,14,15,5200,1,5,1H,367 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0,P,7 AVENUE GARDEN LLC,4725,16821,8757,8064,0,8757,0,0,0,0,2,2,4,6,9,63,75,42,75,E,3,N,5,2,981000,1995750,0,0,1924,1989,0, , ,3.56,0,10,10,1,1008060003,0,101,986468,212019,8d, ,105S023,10305, ,1008060003,8/17/2015,1, , ,17V1.1,0,278.9384626,4829.565282,1014750,6,0,14018,14022,22,4950,35.0344429,35.0344429,0,35.0344429,0,770.7577438 +14020,MN,348,64,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,95 ATTORNEY STREET,R7A, , , , , , , , , ,N,G1,10,0,P,91/93/95 HIGHGATE LLC,6633,4000,4000,0,0,0,4000,0,0,0,2,2,2,0,1,20,100,20,100, ,0,N,5,5,529200,598500,0,0,1910,0,0, , ,0.6,4,0,4,1,1003480064,0,1402,988471,200989,12c, ,101N080,10201,E-216,1003480064,9/11/2015,1, , ,17V1.1,0,333.1502942,6601.835407,69300,13,0,14019,14023,30,6750,23.08555603,26.49888992,3.413333893,24.11540038,1.118351523,723.4620113 +14021,MN,223,18,101,39,1011,2,1,10013,L008,1,15,7700,1,1,3B,428 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,L9,6,0, ,CORICE C. ARMAN REVOC,3680,14000,8000,6000,6000,0,0,2000,0,0,2,1,4,5,8,43.58,84.67,44,85, ,3,Y,5,2,144000,884700,0,0,1929,1988,0, , ,3.8,6.02,6,6.5,1,1002230018,0,39,981292,202717,12a, ,101N040,10105,E-162,0, ,1,1,1,17V1.1,0,265.2402375,3963.402126,740700,0,1,14020,14024,17,3825,7.28000021,7.28000021,0,7.28000021,0,123.7600036 +14022,MN,799,28,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,119 WEST 23 STREET,C6-3X,M1-6, , , , , , , , ,Y,L1,6,0, ,"KATZ, PAULA",9875,98800,98800,0,0,10000,0,88800,0,0,2,1,10,0,52,50,197.5,50,198, ,3,N,4,2,3069000,12788550,0,0,1901,1989,0, , ,10.01,9,6,9,1,1007990028,0,91,986097,210187,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,509.2731939,10407.63714,9719550,2,0,14021,14025,45,10125,29.26199913,32.07500076,2.813001633,29.48328222,0.519722757,1326.7477 +14023,MN,856,7502,105,56,1002,2,2,10010,E001,13,15,5700,1,5, ,225 5 AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,31106,274281,35052,239229,0,21639,0,13413,0,0,2,1,13,187,189,197.5,157.5,197,157, ,0,N,0,5,18899980,54281694,75222,75222,1900,2005,2005,Madison Square North Historic District, ,8.82,10,10,10,1,1008567502,1533,56,987691,210185,8d, ,104 004,10306, ,1008560001,5/1/2006,1, , ,17V1.1,7,745.7125656,34223.12219,35381700,11,0,14022,14026,152,34200,36.70000076,40.81222153,4.112220764,37.04842176,0.930298091,5631.360107 +14024,MN,19,19,101,13,2002,2,1,10006,E010,1,15,7700,1,1, ,46 TRINITY PLACE,C5-5, , , , , ,LM, , , ,N,O5,5,0,P,"46 TRINITY PLACE, LLC",4100,20500,20500,0,16500,4000,0,0,0,0,2,1,5,0,5,48.21,107.91,48,108, ,3,Y,4,2,652500,2028150,0,0,1900,1988,0, , ,5,10,15,15,1,1000190019,0,13,980534,197099,12b, ,101S003,10101, ,0, ,1, , ,17V1.1,0,296.2969763,4016.149111,1375650,15,0,14023,14027,17,3825,14.15688896,14.27400017,0.117111206,14.26711127,0.027555578,242.5408916 +14025,MN,803,7501,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,315 7 AVENUE,M1-6, , , , , , , , , ,N,RM,4,0, ,315 SEVENTH AVE CONDO,4481,66868,5183,61685,0,5183,0,0,0,0,2,1,21,91,94,78.21,57,0,0, ,0,N,5,5,874346,14487746,49560,49560,1926,0,0, , ,14.92,0,10,10,1,1008037501,766,95,986125,211418,8d, ,105S012,10305, ,1008030073,11/20/1991,1, , ,17V1.1,7,271.7774893,4534.030627,13613400,2,0,14024,14028,21,4725,34.94488907,37.16799927,2.223110199,36.90428507,0.643374105,774.9899864 +14026,MN,71,1,101,15.02,2009,2,1,10038,E004,1,15,7700,1,1, ,156 FRONT STREET,C5-3, , , , , ,LM, , , ,N,D7,4,0,P,160 FRONT STREET ASSO,9026,52969,2014,50955,0,2014,0,0,0,0,2,1,9,63,66,79.42,110,79.42,95, ,0,Y,3,5,1890000,5740650,0,0,1930,1979,0, , ,5.87,10,15,15,1,1000710001,0,1502,982705,196519,12b, ,101S008,10102, ,0, ,1,1,1,17V1.1,0,408.0219332,10102.61743,3850650,4,1,14025,14029,44,9900,5.993332863,6.54888916,0.555556297,6.160126068,0.201547011,271.045547 +14027,MN,744,43,104,89,1000,2,3,10011,L012,10,15,5600,1,4,1A,209 8 AVENUE,C1-6A, , , , , , , , , ,N,D7,4,0, ,DORAL REALTY LLC,5260,25924,4300,21624,0,4300,0,0,0,0,2,1,6,35,40,52.5,100,53,91,E,2,N,3,2,310050,4139100,0,0,1930,1985,0, , ,4.93,4,2,4,1,1007440043,0,89,984297,210340,8d, ,103 038,10303, ,0, ,1, , ,17V1.1,0,310.7672782,5539.810995,3829050,7,0,14026,14030,25,5625,15.84222221,22.3255558,6.483333588,16.84597778,2.127213417,421.1494446 +14028,MN,30,34,101,9,1012,2,1,10004,L015,1,15,7700,1,1,1B,40 WATER STREET,C5-5, , , , , ,LM, , , ,N,O5,5,0, ,"40 WATER STREET, LLC",1462,7050,5640,1410,4230,1410,0,0,0,0,2,1,5,1,6,25.67,57.5,25,57, ,3,Y,3,2,328950,1371150,0,0,1920,1980,0, , ,4.82,10,15,15,1,1000300034,0,9,981409,195584,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,178.0149006,1656.079232,1042200,17,1,14027,14031,8,1800,7.721999645,7.721999645,0,7.721999645,0,61.77599716 +14029,MN,595,7508,101,39,1002,2,1,10013,L008,1,15,7700,3,1, ,290 WEST STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,6740,32690,0,32690,0,0,0,0,0,0,2,1,9,13,13,0.15,0,84,80, ,0,Y,0,5,495012,7505103,0,0,2013,0,0, , ,4.85,6.02,6,6.5,1,1005957508,2651,39,981257,203380,12a, ,101N063,10208,E-257,1005950010,1/15/2016,1,1,1,17V1.1,7,333.6982153,6957.229233,7010090,0,1,14028,14032,30,6750,7.28000021,8.539999962,1.259999752,7.502814945,0.349310798,225.0844483 +14030,MN,775,7503,104,91,2000,2,3,10001,E001,10,15,5200,2,4, ,261 WEST 25 STREET,R8A, , , , , , , , , ,N,R4,3,0, , ,9505,60703,0,60703,0,0,0,0,0,0,2,1,12,49,49,98.75,98.76,98.75,73, ,0,N,0,5,2699974,19106104,0,0,2014,0,0, , ,6.39,6,0,6,1,1007757503,2635,91,985136,211249,8d, ,105S010,10304, ,1007750005,1/15/2016,1, , ,17V1.1,7,397.2285948,9595.396573,16406100,2,0,14029,14033,43,9675,26.27933311,28.81000137,2.530668259,26.72548578,0.804949178,1149.195889 +14031,MN,477,46,102,37,3011,2,3,10013,L008,1,15,6800,1,2,1B,559 BROOME STREET,M1-6, , , , , ,HSQ, , , ,N,D7,4,0, ,BROOME PROPERTY OWNER,0,73760,6701,67059,0,6701,0,0,0,0,7,1,0,23,24,0,0,0,0, ,0,N,5,5,641250,1968750,0,0,0,0,0, , ,0,0,10,10,1,1004770046,0,37,982710,203108,12a, ,101N067,10206, ,1004771001,3/30/2016,1, , ,17V1.1,0,293.5026135,5283.731004,1327500,0,0,14030,14034,23,5175,12.83199978,15.92555618,3.093556404,14.28286946,1.187657683,328.5059977 +14032,MN,174,7504,101,33,1005,2,1,10013,L001,1,15,7700,3,1, ,87 LEONARD STREET,C6-2A, , , , , , , , , ,N,R1,2,0, , ,0,30003,0,30003,0,0,0,0,0,0,7,1,6,7,7,0,0,0,0, ,3,N,0,2,291600,2519491,0,0,0,0,0, , ,0,6.02,6,6.5,1,1001747504,2667,33,982977,200645,12a, ,101S033,10105, ,1001740001,2/5/2016,1, , ,17V1.1,7,344.8145728,5446.85153,2227890,14,0,14031,14035,24,5400,21.5755558,21.5755558,0,21.5755558,0,517.8133392 +14033,MN,477,7501,102,37,3011,2,3,10013,L008,1,15,6800,1,2, ,121 AVENUE OF THE AMER,M1-6, , , , , ,HSQ, , , ,N,RB,5,0,P,NYC INDUST DULP ASSOC,13571,84365,84365,0,84365,0,0,0,0,0,2,1,6,0,5,78,160,0,0, ,0,Y,5,5,1682549,8344800,1680747,7316094,1925,1988,0, , ,6.22,0,10,10,1,1004777501,622,37,982824,203094,12a, ,101N067,10206, ,1004770048,8/26/1989,1, , ,17V1.1,7,495.4776723,14083.68605,6662250,0,0,14032,14036,63,14175,12.83199978,17.15333366,4.321333885,13.17983406,0.943953533,830.329546 +14034,MN,594,7510,102,37,1017,2,3,10013,L008,1,15,6800,1,2, ,15 RENWICK STREET,C6-2A, , , , , , , , , ,N,R4,3,0, , ,0,50059,1005,49054,0,0,650,355,0,0,7,1,11,31,31,0,0,0,0, ,0,N,0,5,3502773,11039848,0,6265881,0,0,0, , ,0,6.02,6,6.5,1,1005947510,2666,37,981836,203394,12a, ,101N063,10208, ,1005940044,2/12/2016,1,1,1,17V1.1,7,428.4557061,9316.667371,7537080,0,1,14033,14037,40,9000,7.988888741,8.601333618,0.612444878,8.004199862,0.095617926,320.1679945 +14035,MN,602,68,102,69,1012,2,3,10014,E024,6,15,6400,1,2,1B,423 HUDSON STREET,M1-5,M1-5/R7X, , , , ,MX-6, , , ,Y,O6,5,0,P,REMAINDERMAN 435 HUDS,24500,245330,245330,0,232530,6400,0,0,0,6400,2,1,9,0,26,200,125,200,125, ,3,Y,3,2,2781000,31685850,0,0,1936,2015,2012, , ,10.01,0,5,6.5,1,1006020068,0,69,982261,205463,12a, ,103 001,10208, ,0, ,1, , ,17V1.1,0,660.3036384,25329.28664,28904900,9,0,14034,14038,113,25425,16.68400002,17.7480011,1.064001083,16.70483385,0.130603982,1887.646225 +14036,MN,521,7505,102,55.02,2008,2,1,10012,L009,9,15,5700,1,2, ,36 BLEECKER STREET,C6-2, , , , , ,LI, , , ,N,R4,3,0, , ,10840,58788,0,58788,0,0,0,0,0,0,2,1,7,19,19,80,135.5,78,132, ,0,N,0,5,782998,11328516,0,0,1920,0,0, , ,5.42,6.02,6,6.5,1,1005217505,2588,5502,985888,203582,12c, ,100 000,10206,E-306,1005210011,8/31/2015,1, , ,17V1.1,7,448.0581629,11761.01595,10545500,9,0,14035,14039,54,12150,40.82555389,42.26666641,1.441112518,40.91775167,0.330359311,2209.55859 +14037,MN,347,7501,103,14.02,2005,1,1,10002,L018,7,14,7400,2,3, ,175 DELANCEY STREET,R8, , , ,C2-5, , , , , ,N,RM,4,0, , ,0,161040,75494,85546,0,6133,0,0,0,69361,7,1,14,1,5,0,0,0,0, ,0,N,0,5,2829601,7198168,1511171,3492010,0,0,0, , ,0,6.02,0,6.5,1,1003477501,2645,1402,988199,200519,12c, ,100 000,10201, ,1003470071,5/2/2016,1, , ,17V1.1,7,577.6518883,20842.60112,4368570,13,0,14036,14040,95,21375,25.29555511,28.52444458,3.228889465,27.51327479,0.608310853,2613.761105 +14038,MN,773,7503,104,91,3000,2,3,10011,E001,10,15,5200,2,4, ,236 WEST 24 STREET,R8A, , , , , , , , , ,N,R1,2,0, , ,0,7853,0,7853,0,0,0,0,0,0,7,1,6,5,5,0,0,0,0, ,0,N,0,5,94841,488608,0,0,0,0,0, , ,0,6,0,6,1,1007737503,2431,91,985146,210772,8d, ,105S009,10304, ,1007730067,8/5/2016,1, , ,17V1.1,7,249.2098516,2199.017295,393767,2,0,14037,14041,10,2250,23.38899994,30.82333374,7.434333801,25.3645998,2.895144399,253.645998 +14039,MN,407,22,103,34,1000,1,2,10009,L011,9,14,6200,1,3,4A,526 EAST 14 STREET,C1-6A, , , , , , , , , ,N,D7,4,0,P,524 EAST 14TH STREET,12906,309327,103075,206252,0,103075,0,0,0,0,2,3,7,54,56,125,103.25,125,79, ,3,N,5,0,2933550,9914498,0,0,2015,2015,0, , ,23.97,4,2,4,1,1004070022,0,34,990037,205081,12c, ,102 029,10203, ,1004070022,7/30/2015,1, , ,17V1.1,0,462.5199821,13302.61391,6980950,12,1,14038,14042,60,13500,11.62699986,14.60111141,2.974111557,11.75940913,0.580887567,705.5645475 +14040,MN,406,7503,103,34,1001,1,2,10009,L011,9,14,6200,4,3, ,536 EAST 13 STREET,R8B, , , , , , , , , ,N,R4,3,0, , ,0,9034,0,9034,0,0,0,0,0,0,7,1,6,11,11,0,0,0,0, ,0,N,0,5,200547,2063250,0,0,0,0,0, , ,0,4,0,4,1,1004067503,2671,34,989952,204825,12c, ,102 029,10203, ,1004060023,3/18/2016,1, , ,17V1.1,7,263.9235316,2674.036874,1862700,12,1,14039,14043,12,2700,11.35888863,12.96422195,1.605333328,11.59849977,0.473932117,139.1819973 +14041,MN,64,7502,101,15.02,1009,2,1,10038,E004,1,15,7700, ,1, ,170 BROADWAY,C5-5, , , , , ,LM, , , ,N,RC,5,0, , ,9051,148239,0,0,0,0,0,0,0,0,2,1,19,0,244,0.2,0,110,77, ,0,Y,0,5,3289500,25608150,0,0,1903,2013,0, , ,16.38,10,15,15,1,1000647502,2408,1502,0,0,12b, , , , ,1000640016,8/13/2015,1, , ,17V1.1,7,411.3693348,9862.478827,22318700,3,0,14040,14044,44,9900,29.80999947,33.34666824,3.536668777,30.31662854,0.920938791,1333.931656 +14042,MN,92,7501,101,15.01,1007,2,1,10038,E006,1,15,7700,1,1, ,33 BEEKMAN STREET,C6-4, , , , , ,LM, , , ,N,RH,5,0,X, ,9875,163935,0,0,0,0,0,0,0,0,2,1,34,0,3,102.5,49.21,53,63, ,0,Y,0,5,2835000,22478851,2835000,22478851,2013,0,0, , ,16.6,10,10,10,1,1000927501,2627,1501,982595,198138,12b, ,101S021,10103, ,1000920001,11/28/2015,1, , ,17V1.1,7,450.8291943,9866.583351,19643900,4,0,14041,14045,43,9675,29.08888817,33.6305542,4.541666031,31.11670525,1.16188186,1338.018326 +14043,MN,899,49,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,214 EAST 19 STREET,R7-2, , , , , , , , , ,N,I7,8,0,X,CABRINI CENTER FOR NU,2760,16661,16661,0,0,0,0,0,0,16661,2,1,9,0,18,30,92,30,92, ,0,N,5,5,384750,3732750,384750,3732750,2004,0,0, , ,6.04,3.44,0,6.5,1,1008990049,0,48,0,0,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,243.6773178,2755.144855,3348000,5,0,14042,14046,12,2700,20.82333374,25.71999931,4.896665573,22.74138927,2.274574828,272.8966713 +14044,MN,469,46,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,235 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,E&S REALTY,3098,15096,0,15096,0,0,0,0,0,0,2,1,6,23,23,30,103.25,30,90, ,3,N,5,1,450000,2713050,0,0,1920,1986,0, , ,4.87,4,2,4,1,1004690046,0,40,988061,206055,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,270.0520166,3150.784916,2263050,12,0,14043,14047,14,3150,29.06444359,29.06444359,0,29.06444359,0,406.9022102 +14045,MN,899,48,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,216 EAST 19 STREET,R7-2, , , , , , , , , ,N,I7,8,0,X,CABRINI CENTER FOR NU,1886,11348,11348,0,0,0,0,0,0,11348,2,1,9,0,12,20.5,92,0,0, ,0,N,5,5,262800,2542950,262800,2542950,2004,0,0, , ,6.02,3.44,0,6.5,1,1008990048,0,48,0,0,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,224.7091731,1883.029379,2280150,5,0,14044,14048,9,2025,20.82333374,25.5233326,4.699998856,22.76298798,2.178685552,204.8668919 +14046,MN,899,47,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,218 EAST 19 STREET,R7-2, , , , , , , , , ,N,I7,8,0,X,CABRINI CENTER FOR NU,1886,11385,11385,0,0,0,0,0,0,11385,2,1,9,0,12,20.5,92,20.5,92, ,0,N,5,5,262800,2544750,262800,2544750,2004,0,0, , ,6.04,3.44,0,6.5,1,1008990047,0,48,0,0,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,224.7332605,1883.258351,2281950,5,0,14045,14049,8,1800,20.82333374,25.54333305,4.719999313,21.99277806,2.025646994,175.9422245 +14047,MN,469,25,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,234 EAST 14 STREET,C1-6A, , , , , , , , , ,N,D4,3,0,P,234 MID 14 APT CO,4788,19408,0,19408,0,0,0,0,0,0,2,1,6,31,31,46.33,103.25,46,88, ,3,Y,5,2,351900,1899000,18880,18880,1920,1979,0, , ,4.05,4,2,4,1,1004690025,0,40,988147,206129,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,304.4686788,4857.272594,1547100,12,0,14046,14050,21,4725,29.06444359,32.45000076,3.385557175,29.2256606,0.720984379,613.7388725 +14048,MN,469,43,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,241 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C1,2,0, ,E&S REALTY,2323,10626,0,10626,0,0,0,0,0,0,2,1,6,23,23,22.5,103.25,23,84, ,3,N,5,1,327150,1779750,0,0,1900,1986,0, , ,4.57,4,2,4,1,1004690043,0,40,988111,206028,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,257.7805962,2506.392457,1452600,12,0,14047,14051,11,2475,29.06444359,30.20000076,1.135557175,29.25858532,0.412849606,321.8444386 +14049,MN,899,46,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,220 EAST 19 STREET,R7-2, , , , , , , , , ,N,I7,8,0,X,CABRINI HOUSING DEVEL,1886,11385,11385,0,0,0,0,0,0,11385,2,1,9,0,12,20.5,92,20.5,92, ,0,N,5,5,262800,2544750,262800,2544750,2004,0,0, , ,6.04,3.44,0,6.5,1,1008990046,0,48,988651,207347,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,226.8364069,1978.959116,2281950,5,0,14048,14052,9,2025,20.82333374,26.47555542,5.65222168,22.49851884,2.390881986,202.4866695 +14050,MN,469,47,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,231 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,E&S REALTY,4130,18828,0,18828,0,0,0,0,0,0,2,1,6,26,26,40,103.25,40,90, ,3,N,5,1,450000,3488400,0,0,1920,1986,0, , ,4.56,4,2,4,1,1004690047,0,40,988031,206072,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,290.0511824,4201.016401,3038400,12,0,14049,14053,18,4050,29.06444359,29.06444359,0,29.06444359,0,523.1599846 +14051,MN,469,23,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,230 EAST 14 STREET,C1-6A, , , , , , , , , ,N,C7,4,0, ,230 EAST 14TH STREET,4784,19418,3236,16182,0,3236,0,0,0,0,2,1,6,33,36,46.33,103.25,46,85, ,3,N,5,2,666000,2667600,0,0,1920,1985,2013, , ,4.06,4,2,4,1,1004690023,0,40,988107,206151,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,306.089794,4943.750657,2001600,12,0,14050,14054,23,5175,29.06444359,33.15777969,4.093336105,29.39999929,1.089520364,676.1999836 +14052,MN,899,8,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,211 EAST 18 STREET,R7B,R7-2, , , , , , , , ,Y,D4,3,0,P,211 E 18TH ST OWNERS,23184,111396,12700,98696,0,0,12700,0,0,0,2,1,7,123,124,252,92,85,253,G,3,Y,5,2,1557000,10782900,422570,422570,1958,1984,0, , ,4.8,3,0,3,1,1008990008,0,48,988625,207255,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,711.4302066,24573.06525,9225900,5,0,14051,14055,108,24300,20.82333374,29.03777695,8.214443207,22.4909648,1.218038392,2429.024199 +14053,MN,469,44,103,40,1000,1,2,10003,L003,9,14,6200,1,3,4B,239 EAST 13 STREET,C1-6A, , , , , , , , , ,N,C4,2,0, ,E&S REALTY,3098,15096,0,15096,0,0,0,0,0,0,2,1,6,24,24,30,103.25,30,91, ,3,N,5,1,450000,2712150,0,0,1920,1986,0, , ,4.87,4,2,4,1,1004690044,0,40,988088,206041,12c, ,102 026,10205, ,0, ,1, , ,17V1.1,0,270.0520167,3150.778706,2262150,12,0,14052,14056,15,3375,29.06444359,30.86000061,1.795557022,29.26070302,0.486022094,438.9105453 +14054,MN,899,51,106,48,1000,2,2,10003,E005,13,14,5900,1,6,1A,210 EAST 19 STREET,R7-2, , , , , , , , , ,N,I7,8,0,X,CABRINI CENTER FOR NU,2760,16661,16661,0,0,0,0,0,0,16661,2,1,9,0,17,30,92,30,92, ,0,N,5,5,384750,3732750,384750,3732750,2004,0,0, , ,6.04,3.44,0,6.5,1,1008990051,0,48,0,0,12c, ,102 047,10308, ,0, ,1, , ,17V1.1,0,243.6412616,2754.620871,3348000,5,0,14053,14057,12,2700,20.82333374,30.65999985,9.836666107,23.93649085,3.024888252,287.2378902 +14055,MN,872,7501,105,50,3000,2,2,10003,L003,13,14,5300,1,5, ,105 EAST 16 STREET,C6-2A,R8B, , , , , , , , ,Y,RM,4,0, , ,0,46157,6741,39416,0,0,0,0,0,6741,7,1,6,1,2,0,0,0,0, ,0,N,0,5,386100,4532400,0,0,0,0,0, , ,0,6.02,6,6.5,1,1008727501,2539,50,987411,207371,12c, ,102 035,10307, ,1008720007,4/1/2016,1, , ,17V1.1,7,302.0351584,4842.946571,4146300,5,0,14054,14058,22,4950,35.47555542,39.89110947,4.415554047,35.67626242,0.91975503,784.8777733 +14056,MN,373,7501,103,26.01,1002,1,2,10009,E028,9,14,6700,3,3, ,324 EAST 4 STREET,R8B, , , , , , , , , ,N,R4,3,0, , ,0,8734,0,8734,0,0,0,0,0,0,2,1,7,121,11,0,0,0,0, ,0,N,0,5,186297,1169101,0,0,1920,0,0, , ,0,4,0,4,1,1003737501,2584,2601,989968,202213,12c, ,102 014,10202, ,1003730015,4/1/2016,1, , ,17V1.1,7,242.3954392,2190.839706,982804,1,0,14055,14059,8,1800,12.37111092,12.37111092,0,12.37111092,0,98.96888733 +14057,MN,690,20,104,99,1022,2,3,10011,E003,10,15,5500,1,4,1B,511 WEST 18 STREET,C6-2, , , , , ,WCH, , , ,N,K4,4,0, ,18TH HIGHLINE ASSOCIA,23000,46000,46000,0,0,23000,23000,0,0,0,2,2,2,0,2,200,184,200,92, ,0,Y,5,5,983250,3589650,0,0,1920,0,0, , ,2,6.02,6,6.5,1,1006900020,0,99,982298,210756,8b, ,103 043,10301,E-142,0, ,1,1,1,17V1.1,0,779.8930286,23826.69447,2606400,7,1,14056,14060,107,24075,6.974444389,8.602222443,1.627778053,7.004527466,0.217987012,749.4844389 +14058,MN,889,63,106,72,6000,2,2,10016,L007,17,14,5300,1,6,2A,235 LEXINGTON AVENUE,C1-9, , , , , , , , , ,N,C7,4,0,P,"LEX 34TH EQUITIES, LL",3000,12840,2568,10272,0,2568,0,0,0,0,2,1,5,12,13,40,75,40,75,E,3,N,3,2,153900,2266200,0,0,1910,0,0, , ,4.28,10,2,10,1,1008890063,0,72,989900,211120,8d, ,104 020,10307, ,0, ,1, , ,17V1.1,0,245.6458501,3460.657006,2112300,10,0,14057,14061,15,3375,31.66399956,41.29222107,9.628221512,34.22387365,3.937034869,513.3581047 +14059,MN,9,7,101,9,1013,2,1,10004,L015,1,15,7700,1,1, ,7 STATE STREET,C5-5, , , , , ,LM, , , ,N,M1,8,0, ,THE MISSION OF OUR LA,6037,8685,8685,0,0,0,0,0,0,8685,2,1,4.5,0,1,60.75,105.75,60,105, ,2,Y,5,1,1683000,3016350,1340389,2407069,1954,1965,0, ,JAMES WATSON HOUSE,1.44,10,15,15,1,1000090007,0,9,980457,195256,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,338.5520589,7012.795586,1333350,17,1,14058,14062,30,6750,7.106999874,9.354444504,2.24744463,7.260222101,0.531273682,217.806663 +14060,MN,65,7,101,15.02,1001,2,1,10038,E004,1,15,7700,1,1,1B,15 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,15 MAIDEN LANE LLC,9066,124910,124910,0,123372,1538,0,0,0,0,2,1,20,0,52,72.35,149.08,72,149, ,3,Y,4,2,2038500,11578500,0,0,1908,0,0, , ,13.78,10,15,15,1,1000650007,0,1502,981747,197779,12b, ,101S011,10102, ,0, ,1, , ,17V1.1,0,591.7318667,9354.061912,9540000,0,0,14059,14063,41,9225,27.79333305,32.16333389,4.370000839,29.24130603,0.540577106,1198.893547 +14061,MN,152,13,101,33,1007,2,1,10007,L001,1,15,7700,1,1,3A,7 THOMAS STREET,C6-4,C6-4A, , , , , , , , ,Y,U4,7,0, ,AT&T INC.,0,0,0,0,0,0,0,0,0,0,7,1,0,0,0,367.08,180.42,0,0, ,0,Y,5,5,1830000,4338000,0,0,0,0,0, , ,0,10,10,10,1,1001520013,0,33,982647,200308,12a, ,101S033,10104, ,0, ,1, , 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OPERATING, L.",26860,214110,214110,0,192699,21411,0,0,0,0,2,1,10,0,24,214.75,125.08,215,100, ,0,N,3,2,6030000,25682850,0,0,1926,2013,0, , ,7.97,0,10,10,1,1005050001,0,37,982775,203783,12a, ,101N067,10206,E-288,0, ,1, , ,17V1.1,0,696.0418019,27738.15695,19652900,0,0,14061,14065,122,27450,21.61499977,23.07333183,1.458332062,21.73408452,0.305930809,2651.558311 +14063,MN,672,1,104,99,1031,2,3,10001,E003,10,15,5500,1,4,2B,601 WEST 26 STREET,M2-3, , , , , , , , , ,N,O6,5,0,P,RXR SL OWNER LLC,124100,1835150,1835150,0,474385,4583,217460,1064119,74603,0,2,1,19,0,208,202.67,652.25,202.67,652.25, ,0,Y,3,5,14580000,216832050,0,0,1931,0,0,West Chelsea Historic District,STARRETT-LEHIGH BUILDING,14.79,0,2,0,1,1006720001,0,99,982434,213099,8b, ,105S002,10301, ,0, ,1,1,1,17V1.1,0,1664.240105,124723.3791,202252000,2,1,14062,14066,553,124425,6.187777519,8.319999695,2.132222176,6.193926608,0.095280981,3425.241414 +14064,MN,767,7505,104,81,2000,2,3,10011,L012,10,15,5600,1,4, ,210 WEST 18 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,23736,274965,134412,140553,0,0,0,0,0,134412,2,1,23,47,55,0.54,0,125,184, ,0,N,0,5,2136141,34069501,0,0,1929,0,0, , ,11.58,6.02,6,6.5,1,1007677505,2098,81,984597,209259,8d, ,103 033,10304, ,1007670047,2/9/2010,1, , ,17V1.1,7,635.1603049,23836.11871,31933400,7,0,14063,14067,107,24075,21.88888931,26.6044445,4.715555191,25.01566919,0.641472365,2676.676603 +14065,MN,554,1,102,57,1002,2,2,10003,E033,9,15,5700,1,2,3A,770 BROADWAY,C6-2, , , , , , , , , ,N,O6,5,0,P,770 BROADWAY OWNER LL,62582,940000,940000,0,720000,220000,0,0,0,0,2,1,15,0,1,188,327.08,188,327, ,1,Y,3,2,17865000,167684850,0,0,1906,1999,2006,NoHo Historic District, ,15.02,6.02,6,6.5,1,1005540001,0,57,986602,205453,12c, ,103 024,10207, ,0, ,1, , ,17V1.1,0,1079.172447,67609.41081,149820000,12,0,14064,14068,302,67950,37.38833618,40.95777893,3.569442749,37.55694946,0.53652142,11342.19874 +14066,MN,857,7501,105,56,1001,2,2,10016,E001,13,15,5700,1,5, ,76 MADISON AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,4710,54622,6768,47854,0,3193,0,1344,0,2231,2,1,14,31,33,49.58,95,49.58,95, ,0,N,0,5,1853995,8878946,9440,9440,1911,0,0, , ,11.6,10,10,10,1,1008577501,1636,56,988116,210333,8d, ,104 004,10306, ,1008570065,3/22/2007,1, , ,17V1.1,7,311.0967868,5513.238044,7024950,11,0,14065,14069,25,5625,36.04399872,37.25111008,1.207111359,36.14683441,0.262168538,903.6708603 +14067,MN,16,125,101,13,1000,2,1,10007,E010,1,15,7700,1,1, ,225 LIBERTY STREET,BPC, , , , , ,BPC, , , ,N,O4,5,0,O,WFP TOWER B CO LP,199346,2267925,2267925,0,1999448,117790,12266,56501,0,81920,2,2,44,0,1,489,217,125,125, ,1,Y,5,2,76950450,210486150,76950450,210486150,1987,2015,0, , ,11.38,0,0,0,1,1000160125,0,13,980007,198843,12b, ,101S090,10101, ,0, ,1,1,1,17V1.1,0,2256.692059,214096.1573,133536000,3,1,14066,14070,949,213525,10.58444405,19.48888969,8.904445648,13.03632224,0.726736532,12371.46981 +14068,MN,626,46,102,77,3005,2,3,10014,L005,6,15,6100,1,2,3B,31 8 AVENUE,C1-6, , , , , , , , , ,N,S3,4,0, ,HAMLIN REALTY LLC,1894,4746,2052,2694,0,2052,0,0,0,0,2,1,3,3,4,19,87.75,15,79,E,3,Y,3,5,169093,386144,0,0,1900,1985,0,Greenwich Village Historic District, ,2.51,3.44,2,6.5,1,1006260046,0,77,983066,208268,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,226.8486754,2291.631484,217051,8,0,14067,14071,11,2475,17.68444443,17.68444443,0,17.68444443,0,194.5288887 +14069,MN,596,1,102,37,1002,2,3,10014,E024,1,15,6800,1,2,1B,340 WEST STREET,C6-3,C6-4,M1-5, , , ,HRP, , , ,N,L2,6,0,P,"SJC 33 OWNER 2015, LL",213650,940000,940000,0,940000,0,0,0,0,0,2,1,4,0,22,848.78,220.72,568,245, ,1,Y,3,2,19980450,99783450,0,0,1933,1965,2013, , ,4.4,0,5,0,1,1005960001,0,37,981483,204716,12a, ,103 001,10208,E-384,0, ,1,1,1,17V1.1,0,2187.848508,212130.6317,79803000,0,1,14068,14072,943,212175,7.427777767,10.75633335,3.328555584,7.445160235,0.194152093,7020.786101 +14070,MN,10,14,101,9,1009,2,1,10004,L015,1,15,7700,1,1, ,33 WHITEHALL STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,BROAD FINANCIAL CENTE,13214,365792,365792,0,365792,0,0,0,0,0,2,1,30,0,29,82.04,161.25,58,160, ,3,Y,3,2,7875000,38897100,0,0,1986,2003,2004, , ,27.68,10,15,15,1,1000100014,0,9,980734,195538,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,520.5532626,13546.79878,31022100,17,1,14069,14073,58,13050,8.81499958,10.25500011,1.440000534,8.891771629,0.247887129,515.7227545 +14071,MN,454,7,103,40,6001,1,2,10003,E005,9,14,6200,1,3,4B,204 2 AVENUE,R8B,R7A, , ,C1-5, ,TA, , , ,Y,U4,7,0,P,VERIZON NEW YORK INC,30691,0,0,0,0,0,0,0,0,0,7,1,0,0,0,103.25,297.25,0,0, ,0,N,3,5,7059000,24737400,0,0,0,0,0, , ,0,4,0,4,1,1004540007,0,40,988414,205676,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,829.7902766,32840.52594,17678400,12,0,14070,14074,145,32625,22.37666702,30.45777702,8.081110001,23.4079037,2.354191005,3394.146036 +14072,MN,597,62,102,37,1012,2,3,10013,E024,1,15,6800,1,2,1B,323 HUDSON STREET,M1-6, , , , , ,HSQ, , , ,N,O6,5,0,P,"JAMESTOWN 325 HUDSON,",19470,193813,193813,0,117465,7080,0,0,0,69268,2,1,10,0,5,100.58,200.25,100.58,200.25, ,2,Y,3,2,4495500,31757400,0,0,1967,2007,2012, , ,9.95,0,10,10,1,1005970062,0,37,982059,204096,12a, ,101N065,10208, ,0, ,1, , ,17V1.1,0,611.2258095,20104.38534,27261900,0,1,14071,14075,91,20475,10.99400043,15.32333279,4.329332352,11.18483069,0.819753897,1017.819592 +14073,MN,713,1,104,83,3002,2,3,10011,E003,10,15,5600,1,4,1A,401 WEST 15 STREET,M1-5, , , , , ,WCH, , , ,N,O6,5,1,P,JAMESTOWN MANAGEMENT,165200,1100533,1100533,0,986862,113671,0,0,0,0,2,1,8,0,62,206.5,800,206.5,800, ,1,N,3,0,7110000,183217500,0,0,1934,2014,1999, , ,6.66,0,5,6.5,1,1007130001,0,83,982572,209808,8b, ,103 040,10302, ,0, ,1, ,1,17V1.1,0,2040.193388,172596.4178,176108000,7,1,14072,14076,766,172350,10.7877779,15.89333344,5.105555534,11.03235955,0.626410311,8450.787413 +14074,MN,44,7501,101,7,1002,2,1,10005,E004,1,15,7700, ,1, ,18 PINE STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,22742,461169,32760,428409,0,32760,0,0,0,0,2,1,38,408,412,151.83,149.92,151,149.92, ,1,Y,0,5,20971938,77393724,0,17852279,1928,2005,0, , ,20.28,10,15,15,1,1000447501,1853,7,981551,197121,12b, ,101S005,10101, ,1000440008,11/5/2008,1, , ,17V1.1,7,610.152542,22722.795,56421800,4,0,14073,14077,103,23175,33.01444244,34.49000168,1.475559235,34.45784411,0.193261358,3549.157944 +14075,MN,758,28,104,111,1003,2,3,10001,L021,14,15,5500,1,4,2A,315 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,P5,8,0,P,HOLY SPIRIT ASSN ETAL,24687,149436,149436,0,0,0,0,0,0,149436,2,1,9,0,0,125,197.5,125,197, ,0,N,5,2,3910500,7410600,0,0,1906,1923,0, , ,6.05,10,10,10,1,1007580028,0,111,985884,213586,8d, ,105N031,10304,E-32,0, ,1, , ,17V1.1,0,645.5458495,24084.98185,3500100,6,0,14074,14078,102,22950,38.14200211,39.85488892,1.71288681,38.15879511,0.168767641,3892.197102 +14076,MN,862,45,105,74,2001,2,2,10016,L007,14,15,5200,1,5,1A,30 EAST 33 STREET,C5-2, , , , , , , , , ,N,O6,5,0,P,30 E. 33RD ST. REALT,8229,91554,91554,0,85054,6500,0,0,0,0,2,1,12,0,10,83.33,98.75,83,96,E,3,N,5,2,2250000,7281450,0,0,1916,0,0, , ,11.13,10,10,10,1,1008620045,0,74,988970,211303,8d, ,104 018,10306, ,0, ,1, , ,17V1.1,0,370.5183468,8489.443777,5031450,10,0,14075,14079,37,8325,40.45000076,48.31222153,7.862220764,40.86822891,1.749815228,1512.12447 +14077,MN,25,27,101,9,1000,2,1,10005,L015,1,15,7700,1,1,1B,40 EXCHANGE PLACE,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,40 X OWNER LLC,14970,237000,237000,0,227300,9700,0,0,0,0,2,1,20,0,0,107,70.5,107,70.5, ,0,Y,3,2,2902500,13541400,0,0,1902,1985,0, , ,15.83,10,15,15,1,1000250027,0,9,981398,196377,12b, ,101S005,10101, ,0, ,1, ,1,17V1.1,0,626.0145706,16255.67555,10638900,17,1,14076,14080,72,16200,9.727999687,19.55444527,9.82644558,12.66306505,2.30486833,911.7406836 +14078,MN,79,7503,101,15.02,1000,2,1,10038,E006,1,15,7700,1,1, ,71 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,29 JOHN STREET LLC,5035,61193,7931,53262,0,3771,0,4160,0,0,2,1,16,52,53,51.08,101.58,51.08,101.58, ,0,Y,0,5,1084487,9307577,0,753271,1906,2004,0, , ,12.15,10,15,15,1,1000797503,1551,1502,981892,197859,12b, ,11S 011,10102, ,1000790008,7/6/2006,1, , ,17V1.1,7,318.3622471,5575.348286,8223090,4,0,14077,14081,25,5625,31.21700096,31.21700096,0,31.21700096,0,780.425024 +14079,MN,149,7503,101,21,1003,2,1,10007,L001,1,15,7700,3,1, ,71 READE STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,7424,41038,6851,34187,0,5170,1681,0,0,0,2,1,9,18,20,0.17,0,0,0, ,0,N,0,5,2526302,5637604,187988,1730995,2013,0,0, , ,5.53,7.52,6,7.5,1,1001497503,2509,21,982292,199723,12b, ,101S018,10104, ,1001490007,2/6/2015,1, , ,17V1.1,7,412.9771618,7759.013871,3111300,14,0,14078,14082,33,7425,29.82299995,30.57222176,0.749221802,29.84570365,0.128431471,984.9082203 +14080,MN,224,7503,101,39,1008,2,1,10013,L008,1,15,7700,3,1, ,449 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,2000,9724,0,9724,0,0,0,0,0,0,2,1,7,4,4,0.04,80,25,76, ,0,N,0,5,99288,866019,0,0,1920,0,0, , ,4.86,6.02,6,6.5,1,1002247503,2537,39,981472,203007,12a, ,101N040,10105, ,1002240023,2/6/2015,1,1,1,17V1.1,7,218.1030488,2107.464771,766731,0,1,14079,14083,7,1575,8.210000038,8.210000038,0,8.210000038,0,57.47000027 +14081,MN,705,1,104,99,1010,2,3,10001,E034,10,15,5500,1,4,2B,380 11 AVENUE,C6-4, , , , , ,HY, , , ,N,O4,5,0,P,ONE HUDSON YARDS OWNE,40015,1178640,1178640,0,1149691,28949,0,0,0,0,2,1,51,0,2,197.5,213.73,203,183, ,1,Y,3,2,12143250,59810850,12143250,59810850,2015,0,0, , ,29.45,10,10,10,1,1007050001,0,99,983761,214431,8b, ,105S016,10302,E-137,1007050054,12/14/2011,1, , ,17V1.1,0,821.8646325,42080.5036,47667600,6,0,14080,14084,187,42075,28.08399963,33.74333191,5.659332275,28.37657722,0.968253674,5306.419941 +14082,MN,729,50,104,103,1006,2,3,10001,L021,10,15,5500,1,4,2B,427 WEST 31 STREET,C6-4, , , , , ,HY, , , ,N,D6,4,1, ,BOP MW RESIDENTIAL MA,58949,748279,7931,740348,0,7931,0,0,0,0,2,1,64,844,847,253,252,223,105, ,1,Y,5,2,17261550,79166700,12443512,74348662,2015,0,0, , ,12.69,10,10,10,1,1007290050,0,103,984598,213393,8d, ,105S018,10302,E-137,1007290050,4/16/2015,1, ,1,17V1.1,0,1014.752886,59440.13063,61905200,6,1,14081,14085,264,59400,23.93111229,36.17666626,12.24555397,27.54943238,4.482192312,7273.050148 +14083,MN,405,45,103,34,2000,1,2,10009,L011,9,14,6200,1,3,4A,535 EAST 11 STREET,R8B, , , , , , , , , ,N,D1,3,0,P,ELEVEN AND B HDFC,5162,24497,0,24497,0,0,0,0,0,0,2,1,8,40,40,50,103.25,50,68, ,3,N,5,2,401400,2407500,401400,2407500,2013,2013,0, , ,4.75,4,0,4,1,1004050045,0,34,989760,204504,12c, ,102 029,10203, ,1004050045,4/28/2015,1, , ,17V1.1,0,311.0905759,5250.380526,2006100,12,1,14082,14086,24,5400,14.03666687,16.64999962,2.613332748,15.23995376,0.705360193,365.7588902 +14084,MN,457,29,103,36.02,2001,1,2,10003,E028,9,14,6500,1,3,3B,31 2 AVENUE,C6-2A, , , , , , , , , ,N,D6,4,0,P,CENTRAL MANAGEMENT CO,4472,26832,5000,21832,0,5000,0,0,0,0,2,1,6,20,21,59.5,89,59.5,89, ,3,Y,5,2,523800,3493350,0,0,1900,2012,2012, , ,6,6.02,6,6.5,1,1004570029,0,3602,986795,203339,12c, ,102 009,10205, ,1004570029,7/24/2015,1, , ,17V1.1,0,282.6988285,4581.524728,2969550,1,0,14083,14087,23,5175,41.24733353,41.87900162,0.631668091,41.84506922,0.130992334,962.4365921 +14085,MN,497,7503,102,43,3004,2,1,10012,L020,5,15,6800,1,2, ,542 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,4000,23942,6858,17084,0,6858,0,0,0,0,2,1,6,8,9,0.09,0,40,99, ,3,N,0,5,149174,2211271,0,0,1900,1989,0, , ,5.99,0,5,6.5,1,1004977503,2577,43,984757,202809,12c, ,101N075,10206, ,1004970007,7/7/2015,1, , ,17V1.1,7,290.0395062,4197.010953,2062100,0,0,14084,14088,19,4275,31.61100006,34.23999786,2.628997803,31.8664619,0.747673895,605.4627762 +14086,MN,695,7509,104,99,1041,2,3,10011,E003,10,15,5500,2,4, ,556 WEST 24 STREET,C6-3,C6-2A, , , , ,WCH, , , ,Y,RM,4,0, , ,4937,31250,4187,27063,0,4187,0,0,0,0,2,1,11,8,9,50,98.75,50,96, ,0,N,5,5,1235651,5182141,0,0,2013,0,0, , ,6.33,7.52,6,10,1,1006957509,2574,99,982535,212217,8b, ,100 000,10301, ,1006950065,7/7/2015,1, ,1,17V1.1,7,301.6747396,5077.683762,3946490,2,1,14085,14089,23,5175,8.254444122,8.843333244,0.588889122,8.490540878,0.193412288,195.2824402 +14087,MN,521,9,102,55.02,2008,2,1,10012,L009,9,15,5700,1,2,1G,304 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,D3,3,0, ,304 MULBERRY STREET O,13803,69300,0,69300,0,0,0,0,0,0,2,1,7,86,86,169.14,81.62,80,164, ,3,Y,5,2,1191600,10476450,0,0,1974,0,0, , ,5.02,6.02,6,6.5,1,1005210009,0,5502,985804,203593,12c, ,103 010,10206, ,1005210009,7/27/2015,1, , ,17V1.1,0,511.3926368,14281.45371,9284850,9,0,14086,14090,65,14625,40.82555389,41.63999939,0.814445496,40.88312666,0.184753895,2657.403233 +14088,MN,857,7503,105,56,1000,2,2,10016,E016,13,15,5700,1,5, ,400 PARK AVENUE SOUTH,C5-3, , , , , , , , , ,N,RM,4,0, , ,19275,367944,6214,361730,0,6214,0,0,0,0,2,1,42,81,351,0.44,0,150,151, ,1,Y,0,5,8673754,81383408,0,0,2013,2012,0, , ,19.09,10,15,15,1,1008577503,2546,56,988513,210065,8d, ,104 004,10306, ,1008570046,7/30/2015,1, , ,17V1.1,7,613.0566901,20105.26186,72709696,11,0,14087,14091,89,20025,37.90100098,40.77000046,2.868999481,38.82074819,0.90621455,3455.046589 +14089,MN,480,7503,102,41,6000,2,1,10012,E055,5,15,6800,1,2, ,199 MOTT STREET,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,4955,24053,6160,17893,0,6160,0,0,0,0,2,1,8,11,13,49.33,99.58,49.33,69, ,0,Y,0,5,669153,7633801,0,0,2012,0,0, , ,4.85,3.44,6,6.5,1,1004807503,2495,41,985391,202049,12c, ,101N074,10206, ,1004800026,8/31/2015,1, , ,17V1.1,7,308.2122799,5241.530335,6964650,0,0,14088,14092,22,4950,38.9980011,42.83444595,3.836444855,39.34952649,1.044494856,865.6895828 +14090,MN,701,7502,104,99,1016,2,3,10001,E034,10,15,5500,2,4, ,500 WEST 30 STREET,C6-4, , , , , ,WCH, , , ,N,RM,4,0, , ,41228,301475,25087,276388,0,7139,17948,0,0,0,2,1,33,390,391,235,172.81,235,172.81, ,2,N,3,5,4682700,55791000,1839932,52948232,2013,0,0, , ,7.31,10,10,10,1,1007017502,2566,99,983778,213245,8b, ,105S015,10302, ,1007010042,8/31/2015,1, , ,17V1.1,7,882.5007099,43109.69071,51108300,6,0,14089,14093,191,42975,13.46000004,19.30333328,5.843333244,16.11898202,1.780855791,3078.725565 +14091,MN,720,7504,104,93,7000,2,3,10011,E003,10,15,5200,1,4, ,421 WEST 22 STREET,R7B, , , , , , , , , ,N,R1,2,0, , ,1646,5421,0,5421,0,0,0,0,0,0,2,1,5,8,8,16.67,98.75,17,60, ,0,N,0,5,28049,432653,0,0,1900,0,0, , ,3.29,3,0,3,1,1007207504,2518,93,983590,211181,8b, ,105S005,10302, ,1007200037,2/6/2015,1, ,1,17V1.1,7,221.9340957,1575.940393,404604,2,1,14090,14094,7,1575,9.369999886,9.369999886,0,9.369999886,0,65.5899992 +14092,MN,701,7501,104,99,1016,2,3,10001,E034,10,15,5500,2,4, ,529 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,RM,4,0, , ,13990,107530,16047,91483,0,10447,5600,0,0,0,2,1,14,139,140,0.32,98.75,141.67,98.75, ,3,N,6,5,1574100,15140250,0,0,2013,0,0, , ,7.69,7.52,6,10,1,1007017501,2562,99,983434,213369,8b, ,105S015,10302,E-142,1007010011,4/10/2015,1, , ,17V1.1,7,489.2537149,14565.52141,13566200,6,1,14091,14095,64,14400,13.46000004,14.03499985,0.574999809,13.47589414,0.089269411,862.4572248 +14093,MN,377,7504,103,26.02,1001,1,2,10009,L011,9,14,6700,4,3, ,277 EAST 7 STREET,R8B, , , , , , , , , ,N,R1,2,0, , ,2169,7340,0,7340,0,0,0,0,0,0,2,1,6,6,6,0.04,0,22.25,67.5, ,0,N,0,5,151993,966597,0,0,2013,0,0, , ,3.38,4,0,4,1,1003777504,2525,2602,990663,202861,12c, ,102 023,10202, ,1003770049,5/1/2015,1, ,1,17V1.1,7,242.5129272,2169.562805,814604,12,1,14092,14096,10,2250,8.156999588,12.09666634,3.939666748,11.02908878,1.361539157,110.2908878 +14094,MN,470,53,102,41,2000,2,1,10013,L006,5,15,6800,1,2,1F,142 BOWERY,C6-1G, , , , , ,LI, , , ,N,H3,5,0, ,138 EMMUT PROPERTIES,7716,44251,10052,13431,0,10052,0,0,0,0,2,3,8,27,74,78.74,100,26,100, ,3,Y,5,2,520650,890550,0,0,2016,0,0, , ,5.73,3.44,6,6.5,1,1004700053,0,41,985676,201312,12c, ,101N077,10206, ,1004700053,8/17/2015,1, , ,17V1.1,0,372.9746887,7964.175674,369900,0,0,14093,14097,36,8100,31.67711258,36.41666794,4.739555359,31.81720204,0.779050268,1145.419273 +14095,MN,423,7501,103,18,5004,2,1,10002,L006,5,14,7400,1,3, ,135 BOWERY,C6-1G, , , , , , , , , ,N,RC,5,0, , ,2632,14793,14793,0,6061,8732,0,0,0,0,2,1,8,0,9,24.67,106.67,24.67,106.67, ,0,Y,0,5,779400,3753000,0,0,1900,0,0, , ,5.62,3.44,6,6.5,1,1004237501,2552,18,985817,201105,12c, ,101N077,10204, ,1004230004,9/18/2015,1, , ,17V1.1,7,263.674329,2670.582797,2973600,0,0,14094,14098,12,2700,34.16999817,35.70000076,1.530002594,34.29749839,0.422870378,411.5699806 +14096,MN,223,3,101,39,1011,2,1,10013,L008,1,15,7700,1,1,3A,264 WEST STREET,C6-3A, , , , , ,TMU, , , ,N,D6,4,0,P,BRIDGE LAND VESTRY LL,24388,222055,31577,190478,0,829,0,0,0,30748,2,6,13,47,48,176.47,132.91,176,100, ,1,Y,3,0,2195100,5210100,0,0,2016,0,0, , ,9.11,7.52,6,7.5,1,1002230003,0,39,981192,202777,12a, ,101N040,10105,R-76,1002230003,11/16/2015,1,1,1,17V1.1,0,650.8372608,25465.85375,3015000,0,1,14095,14099,113,25425,7.28000021,7.28000021,0,7.28000021,0,822.6400237 +14097,MN,825,1,105,58,1007,2,3,10010,E001,13,15,5700,1,5,1B,716 AVENUE OF THE AMER,C6-3A,M1-6,C6-4X, , , , , , , ,Y,P2,8,0,X,TRUSTEES MASONIC HALL,22725,219718,219718,0,207718,12000,0,0,0,0,2,1,19,0,37,98.75,184,99,179, ,3,Y,3,2,5715000,16474950,5715000,16474950,1912,0,0,Ladies' Mile Historic District, ,9.67,7.52,6,7.5,1,1008250001,0,58,986373,209972,8d, ,104 001,10306, ,0, ,1, , ,17V1.1,0,788.5902533,24168.6251,10760000,2,0,14096,14100,108,24300,34.00333405,36.97000122,2.966667175,35.8998453,0.321030087,3877.183292 +14098,MN,962,108,106,62,1000,2,4,10016,E016,17,14,6000,1,6,2A,540 1 AVENUE,R8, , , , , , , , , ,N,I5,8,0, ,NEW YORK UNIVERSITY,58156,413850,413850,0,413850,0,0,0,0,0,2,1,0,0,0,291.96,254,0,0, ,0,Y,5,5,10939050,54650250,10423629,51736316,1963,0,0, , ,7.12,6.02,0,6.5,1,1009620108,0,62,991432,209659,8d, ,104 025,10310,R-197,1009620008,3/18/1999,1,1, ,17V1.1,0,1112.310798,62700.81814,43711200,10,1,14097,14101,279,62775,10.89000034,22.98111153,12.09111118,15.40852668,5.130466945,4298.978943 +14099,MN,33,7501,101,7,1025,2,1,10005,L015,1,15,7700, ,1, ,99 WALL STREET,C6-9, , , , , ,LM, , , ,N,RM,4,0, , ,0,73250,2016,71234,0,2016,0,0,0,0,7,1,28,51,54,0,0,0,0, ,0,N,0,5,2151012,11424136,0,0,0,0,0, , ,0,10,15,15,1,1000337501,2644,7,982237,196051,12b, ,101S007,10101, ,1000330022,2/5/2016,1,1,1,17V1.1,7,291.5273814,4589.642997,9273120,17,1,14098,14102,20,4500,6.892221928,7.786999702,0.894777775,7.693527508,0.245123119,153.8705502 +14100,MN,605,39,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,475 HUDSON STREET,R6, , , , , , , , , ,N,B9,1,0, ,THE BOARD OF MANAGERS,2500,2400,0,2400,0,0,0,0,0,0,2,1,3,2,2,20,125,20,40,E,3,N,5,2,25716,142219,0,0,1899,0,0,Greenwich Village Historic District, ,0.96,2.43,0,4.8,1,1006050039,0,69,982324,206000,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,296.153038,2610.039264,116503,9,0,14099,14103,12,2700,18.13444519,20.94888878,2.814443588,19.61842616,0.981254617,235.421114 +14101,MN,605,33,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,483 HUDSON STREET,R6, , , , , , , , , ,N,M1,8,0,X,THE BOARD OF MANAGERS,15625,5625,5625,0,0,0,0,0,0,5625,2,1,1,0,1,125,125,75,75,E,0,N,5,5,1305000,1868400,1305000,1868400,1821,0,0,Greenwich Village Historic District, ,0.36,2.43,0,4.8,1,1006050033,0,69,982337,206102,12a, ,103 002,10208, ,0, ,1, , ,17V1.1,0,503.7604157,15858.02783,563400,9,0,14100,14104,71,15975,19.02977753,21.5288887,2.499111176,20.0203159,0.936370693,1421.442429 +14102,MN,605,48,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,94 BARROW STREET,R6, , , , , , , , , ,N,A4,1,0, ,THE BOARD OF MANAGERS,1489,2400,0,2400,0,0,0,0,0,0,2,1,3,1,1,20,77,20,40, ,3,N,5,2,23552,112410,0,0,1899,0,0,Greenwich Village Historic District, ,1.61,2.43,0,4.8,1,1006050048,0,69,982242,205936,12a, ,103 002,10208, ,1006050048,2/5/2015,1, , ,17V1.1,0,198.0894482,1583.500278,88858,9,0,14101,14105,8,1800,16.25555611,18.78222084,2.526664734,17.16805577,1.17954182,137.3444462 +14103,MN,605,38,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,477 HUDSON STREET,R6, , , , , , , , , ,N,M3,8,0,X,THE BOARD OF MANAGERS,7227,4320,4320,0,0,0,0,0,0,4320,2,2,3,0,1,30,163,30,36,E,0,Y,5,5,596250,1060650,596250,1060650,1827,0,0,Greenwich Village Historic District, ,0.6,2.43,0,4.8,1,1006050038,0,69,982305,206028,12a, ,103 002,10208, ,1006050008,2/10/2016,1, , ,17V1.1,0,642.0982131,7413.226415,464400,9,0,14102,14106,35,7875,17.32222176,21.23666573,3.91444397,19.54828584,1.153365206,684.1900043 +14104,MN,605,1,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,643 GREENWICH STREET,R6, , , , , , , , , ,N,D1,3,0, ,THE BOARD OF MANAGERS,8998,82638,0,82638,0,0,0,0,0,0,2,1,12,33,33,108,83.92,84,108, ,0,Y,3,5,793800,9570483,8632,8785315,2015,0,0,Greenwich Village Historic District, ,9.18,2.43,0,4.8,1,1006050001,0,69,982173,205960,12a, ,103 002,10208, ,1006050001,2/5/2015,1, , ,17V1.1,0,393.1741309,8582.66207,8776680,9,0,14103,14107,38,8550,16.60111237,18.79111099,2.189998627,17.69118128,0.519837229,672.2648888 +14105,MN,605,40,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,473 HUDSON STREET,R6, , , , , , , , , ,N,B9,1,0, ,THE BOARD OF MANAGERS,2324,3360,0,2580,0,0,0,0,0,0,2,1,3,2,2,20,125,20,43, ,3,N,5,1,77018,376258,0,0,1910,1959,0,Greenwich Village Historic District, ,1.45,2.43,0,4.8,1,1006050040,0,69,982325,205980,12a, ,103 002,10208, ,1006050040,2/5/2015,1, , ,17V1.1,0,298.0519738,2578.427707,299240,9,0,14104,14108,10,2250,18.13444519,20.13111115,1.996665955,19.13133354,0.698190813,191.3133354 +14106,MN,387,7501,103,26.01,2000,1,2,10009,E028,9,14,6700,3,3, ,67 AVENUE C,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,2164,1772,1772,6059,0,1772,0,0,0,0,2,1,7,8,9,24.04,90,24,90, ,0,N,0,5,94428,768028,0,0,1951,0,0, , ,0.82,4,0,4,1,1003877501,2654,2601,989764,202627,12c, ,102 013,10203, ,1003870034,2/5/2016,1, , ,17V1.1,7,233.0005167,2254.003894,673600,1,1,14105,14109,9,2025,11.63300037,11.63300037,0,11.63300037,0,104.6970034 +14107,MN,605,31,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,487 HUDSON STREET,R6, , , , , , , , , ,N,M1,8,0,X,THE BOARD OF MANAGERS,22904,9523,9523,0,0,0,0,0,0,9523,2,1,3,0,1,36,125,36,92, ,0,Y,3,5,1890000,2539350,1890000,2539350,1823,0,0,Greenwich Village Historic District, ,0.42,2.43,0,4.8,1,1006050031,0,69,982306,206190,12a, ,103 002,10208, ,1006050008,2/10/2016,1, , ,17V1.1,0,1154.861714,23057.21421,649350,9,0,14106,14110,95,21375,17.32222176,21.16666794,3.844446182,20.13581754,0.73584094,1912.902666 +14108,MN,693,36,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,195 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,C7,4,0, ,195 10TH AVE LLC,2467,8830,2000,6830,0,2000,0,0,0,0,2,1,5,8,9,24.67,100,25,86, ,3,N,5,2,124583,517381,0,0,1905,2006,2006, , ,3.58,6.02,6,6.5,1,1006930036,0,99,982829,211405,8b, ,103 044,10301, ,0, ,1,1,1,17V1.1,0,255.8504217,2544.33279,392798,7,1,14107,14111,11,2475,7.920000076,10.01222229,2.092222214,8.290000049,0.785267631,91.19000053 +14109,MN,556,7502,103,42,1002,1,2,10003,L003,9,14,6200,4,3, ,84 3 AVENUE,C6-2A, , , , , , , , , ,N,RM,4,0, , ,12900,111588,20049,91539,0,20049,0,0,0,0,2,1,9,85,87,129,100,125,90, ,0,N,0,5,1787850,14559750,0,7208870,2012,0,0, , ,8.65,6.02,6,6.5,1,1005567502,2504,42,987402,205917,12c, ,102 025,10207, ,1005560059,3/19/2015,1, , ,17V1.1,7,468.39294,13501.0285,12771900,12,0,14108,14112,60,13500,37.61222076,39.38000107,1.767780304,38.23186995,0.579678795,2293.912197 +14110,MN,693,37,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,197 10 AVENUE,C6-2, , , , , ,WCH, , , ,N,C7,4,0, ,SREP 10TH AVENUE VENT,3827,10344,3831,6513,0,1034,0,0,0,0,2,3,4,7,11,49.33,77.58,24,41, ,0,N,3,5,782100,1801800,0,0,1910,1982,0, , ,2.7,6.02,6,6.5,1,1006930037,0,99,982857,211433,8b, ,103 044,10301, ,1006930037,4/16/2015,1, ,1,17V1.1,0,265.8309342,4206.135091,1019700,7,1,14109,14113,19,4275,7.920000076,9.477556229,1.557556152,8.088619985,0.397786289,153.6837797 +14111,MN,693,39,104,99,1034,2,3,10011,E003,10,15,5500,1,4,1B,504 WEST 22 STREET,C6-2, , , , , ,WCH, , , ,N,S1,4,0, , ,1102,5390,2156,3234,0,2156,0,0,0,0,2,1,4,1,2,22,49,22,49, ,2,N,0,5,27324,514566,0,0,1910,2015,0, , ,4.89,6.02,6,6.5,1,1006930039,0,99,982811,211458,8b, ,103 044,10301, ,1006930037,4/16/2015,1,1,1,17V1.1,0,149.5119298,1170.634808,487242,7,1,14110,14114,6,1350,7.920000076,9.876667023,1.956666946,8.376481533,0.729173568,50.2588892 +14112,MN,412,7502,103,30.01,1001,1,1,10002,L018,7,14,6600,2,3, ,179 LUDLOW STREET,C4-4A, , , , , , , , , ,N,RM,4,0, , ,2093,8837,2219,6618,0,2219,0,0,0,0,2,1,7,6,7,0.04,0,23.83,87.83, ,0,N,0,5,63876,432893,0,0,1920,2006,0, , ,4.22,4,4,4,1,1004127502,2555,3001,987681,202333,12c, ,102 003,10204, ,1004120026,7/7/2015,1, , ,17V1.1,7,229.7753643,2201.252548,369017,1,0,14111,14115,9,2025,34.02799988,34.02799988,0,34.02799988,0,306.2519989 +14113,MN,179,7507,101,33,3019,2,1,10013,E007,1,15,7700,3,1, ,15 LEONARD STREET,C6-2A, , , , , ,TMU, , , ,N,R1,2,0, , ,5733,23004,0,23004,0,0,0,0,0,0,2,1,90,6,6,25,76,75,62, ,0,Y,0,5,259691,1684560,0,0,1940,0,0, , ,4.01,6.02,6,6.5,1,1001797507,2560,33,982040,201182,12a, ,101S035,10105, ,1001790051,7/7/2015,1, , ,17V1.1,7,337.6405855,5908.641554,1424870,14,1,14112,14116,27,6075,10.17444515,10.17444515,0,10.17444515,0,274.7100191 +14114,MN,521,1,102,55.02,2008,2,1,10012,L009,9,15,5700,1,2,1G,298 MULBERRY STREET,C6-3,C6-2, , , , ,LI, , , ,Y,D9,3,0, ,298 MULBERRY STREET O,14012,86746,25000,61746,0,13000,12000,0,0,0,2,1,12,96,99,93,170.58,96,152, ,3,Y,5,2,1800000,17750700,0,0,1986,2013,0, , ,6.19,7.52,6,10,1,1005210001,0,5502,985797,203449,12c, ,103 010,10206, ,1005210001,3/15/2000,1, , ,17V1.1,0,539.3443602,15796.52163,15950700,9,0,14113,14117,67,15075,40.82555389,44.80110931,3.97555542,41.00096022,0.810213891,2747.064335 +14115,MN,102,1,101,15.01,1012,2,1,10038,E006,1,15,7700,1,1,1H,154 NASSAU STREET,C6-4, , , , , ,LM, , , ,N,W6,8,0, ,PACE UNIVERSITY,108027,526781,526781,0,526781,0,0,0,0,0,2,1,18,0,0,200.42,645,140,565, ,0,Y,3,2,20659950,53148150,20659950,50501700,1968,2013,0, , ,4.88,10,10,10,1,1001020001,0,1501,982922,198373,12b, ,101S021,10103, ,0, ,1, , ,17V1.1,0,1606.791122,111338.622,32488200,4,0,14114,14118,495,111375,16.86300087,40.69666672,23.83366585,20.41805784,6.428756086,10106.93863 +14116,MN,482,7504,102,45,1001,2,1,10013,E055,5,15,6800,1,2, ,200 LAFAYETTE STREET,M1-5B, , , , , , , , , ,N,RB,5,0, , ,13945,81696,81696,0,81696,0,0,0,0,0,2,1,8,0,2,100.17,136.33,75,99, ,0,Y,0,5,1089000,16549200,0,0,1900,0,0, , ,5.86,0,5,6.5,1,1004827504,2561,45,984728,202108,12c, ,101N073,10206, ,1004820037,5/1/2015,1, , ,17V1.1,7,499.0502252,15163.76299,15460200,0,0,14115,14119,68,15300,30.94300079,31.46822357,0.525222778,30.95072466,0.063222555,2104.649277 +14117,MN,780,60,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,232 WEST 31 STREET,M1-5, , , , , , , , , ,N,U6,7,0,P,NATIONAL RAILRD PSNGR,22219,0,0,0,0,0,0,0,0,0,7,1,0,0,0,225,98.75,0,0, ,0,N,5,5,0,0,0,0,0,0,0, , ,0,0,5,6.5,1,1007800060,0,101,985934,212393,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,650.1850794,22741.96774,0,6,0,14116,14120,102,22950,31.09600067,35.62444305,4.528442383,31.38802773,0.798012993,3201.578829 +14118,MN,478,12,102,41,1000,2,1,10012,E055,5,15,6800,1,2,1G,164 ELIZABETH STREET,C6-1, , , , , ,LI, , , ,N,C7,4,1, ,19 KENMARE STREET PAR,2795,13707,1827,11880,0,1827,0,0,0,0,2,1,6,15,17,20,99.05,20,88, ,3,Y,3,2,58500,2737350,0,0,1900,2014,2014, , ,4.9,3.44,6,6.5,1,1004780012,0,41,985733,201842,12c, ,101N077,10206, ,0, ,1, , ,17V1.1,0,258.5698216,2925.22208,2678850,0,0,14117,14121,13,2925,38.05444717,38.375,0.320552826,38.07910508,0.085417505,495.0283661 +14119,MN,702,7502,104,99,1015,2,3,10001,E034,10,15,5500,2,4, ,553 WEST 30 STREET,C6-4, , , , , ,HY, , , ,N,RM,4,0, , ,0,1117228,207524,909704,207524,0,0,0,0,0,7,1,73,391,394,0,0,0,0, ,1,N,3,5,26378551,60763051,4914773,13001273,0,0,0, , ,0,10,10,10,1,1007027502,2638,99,983463,213712,8b, ,105S015,10302, ,1007020004,4/29/2016,1,1,1,17V1.1,7,1191.660836,81372.00347,34384500,6,1,14118,14122,360,81000,7.613333225,18.2733345,10.66000128,11.42565493,1.472220588,4113.235773 +14120,MN,849,1,105,52,2000,2,2,10010,E014,13,15,5700,1,5,1O,135 5 AVENUE,C6-4M,M1-5M, , , , , , , , ,Y,O6,5,0, ,135 FIFTH AVENUE LLC,3265,30370,30370,0,27000,3370,0,0,0,0,2,1,10,0,10,28.75,113,28,101, ,3,N,3,2,1350000,6747300,0,0,1900,0,0,Ladies' Mile Historic District, ,9.3,10,10,10,1,1008490001,0,52,986868,208745,8d, ,102 043,10306, ,0, ,1, , ,17V1.1,0,301.9971794,3764.209142,5397300,7,0,14119,14123,17,3825,40.92599869,41.20000076,0.274002075,40.96046964,0.078142825,696.3279839 +14121,MN,582,42,102,67,3005,2,3,10014,E024,6,15,6400,1,2,1B,65 CARMINE STREET,C2-6, , , , , , , , , ,N,C7,4,0, ,65 CARMINE REALTY LLC,1670,8350,1670,6680,0,1670,0,0,0,0,2,1,5,14,15,25,78.67,25,78, ,3,Y,4,2,94500,1615950,0,0,1910,2011,0, , ,5,3.44,2,6.5,1,1005820042,0,67,982954,205175,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,205.6691319,1931.886143,1521450,9,0,14120,14124,8,1800,15.38333321,15.38333321,0,15.38333321,0,123.0666656 +14122,MN,436,34,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,131 AVENUE A,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,AVENUE A SCHNEIDER PA,4427,22216,4468,17748,0,4468,0,0,0,0,2,1,6,30,35,80.5,55,81,55, ,3,Y,3,2,486000,4179150,0,0,1920,0,0, , ,5.02,4,0,4,1,1004360034,0,32,988911,204109,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,276.6942628,4654.414461,3693150,12,0,14121,14125,20,4500,17.84799957,17.84799957,0,17.84799957,0,356.9599915 +14123,MN,24,7501,101,9,1001,2,1,10004,L015,1,15,7700, ,1, ,40 BROAD STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,16100,239204,83720,155484,39762,43958,0,0,0,0,2,1,31,156,165,81.83,150.75,81.83,150.75, ,0,Y,0,5,9270037,41175895,479287,9344621,1982,0,0, , ,14.86,10,15,15,1,1000247501,1912,9,980982,196499,12b, ,101S004,10101, ,1000240032,8/4/2008,1, , ,17V1.1,7,536.8300412,17005.06206,31905900,17,1,14122,14126,76,17100,12.81444454,17.8255558,5.011111259,13.18320475,1.169697074,1001.923561 +14124,MN,436,37,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,119 ST MARKS PLACE,R8B, , , , , , , , , ,N,C7,4,0, ,AVENUE A SCHNEIDER PA,3522,13976,2329,11647,0,2329,0,0,0,0,2,1,6,22,24,37.5,93.92,38,80, ,3,N,5,2,315000,2589300,0,0,1910,1989,0, , ,3.97,4,0,4,1,1004360037,0,32,988821,204166,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,261.4206781,3500.948685,2274300,12,0,14123,14127,15,3375,17.84799957,17.84799957,0,17.84799957,0,267.7199936 +14125,MN,199,34,103,29,2001,2,1,10013,E009,5,15,7700,1,3,3A,106 BAYARD STREET,C6-1, , , , , , , , , ,N,D7,4,0,P,"LUKE, ALAN",4910,30582,4750,25832,0,4750,0,0,0,0,2,1,7,48,52,49.83,100.33,50,94, ,3,Y,3,2,285750,869850,0,0,1915,0,0, , ,6.23,3.44,6,6.5,1,1001990034,0,29,984286,200257,12c, ,101S031,10105, ,0, ,1, , ,17V1.1,0,311.4537733,5472.794146,584100,14,0,14124,14128,24,5400,19.39333344,22.37599945,2.982666016,22.10501798,0.761388173,530.5204315 +14126,MN,436,36,103,32,1000,1,2,10009,L011,9,14,6600,1,3,4A,121 ST MARKS PLACE,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,AVENUE A SCHNEIDER PA,4669,19500,3250,16250,0,3250,0,0,0,0,2,1,6,30,33,58,80.5,58,69, ,3,N,5,2,450000,3657600,0,0,1907,1988,0, , ,4.18,4,0,4,1,1004360036,0,32,988860,204137,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,278.0016937,4707.102051,3207600,12,0,14125,14129,22,4950,17.84799957,17.84799957,0,17.84799957,0,392.6559906 +14127,MN,194,7508,101,33,1001,2,1,10013,L001,1,15,7700,3,1, ,52 LISPENARD STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,4766,24813,4684,20129,0,4684,0,0,0,0,2,1,7,6,7,0.1,93.25,50.84,80, ,3,N,0,5,187018,1267527,0,0,1920,0,0, , ,5.21,6.02,6,6.5,1,1001947508,2672,33,983380,201395,12a, ,101N046,10105, ,1001940028,1/15/2016,1, , ,17V1.1,7,294.0670369,4872.887775,1080510,0,0,14126,14130,22,4950,12.8255558,15.96000004,3.134444237,13.05323254,0.74461319,287.1711159 +14128,MN,962,7502,106,62,1002,2,4,10016,E016,13,14,6000,2,6, ,430 EAST 29 STREET,C6-2, , , , , , , , , ,N,RB,5,0,X, ,129000,800802,800802,0,688254,0,112548,0,0,0,2,3,17,0,2,142,702,0,0, ,1,Y,0,5,13749750,266547708,13749750,266547708,2008,2011,0, , ,6.21,6.02,6,6.5,1,1009627502,2523,62,991364,208851,8d, ,104 025,10310, ,1009620099,1/5/2015,1,1,1,17V1.1,7,2230.01692,123985.0531,252798000,11,1,14127,14131,551,123975,8.016666412,32.7211113,24.70444489,26.73198865,5.469417077,14729.32575 +14129,MN,800,33,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,109 WEST 24 STREET,C6-4X,M1-6, , , , , , , , ,Y,L8,6,0,P,111 WEST 24 ST ASSOCS,5712,42670,35267,7403,0,5729,0,29538,0,0,2,2,7,0,12,50,114.58,50,115, ,3,Y,5,2,823500,2370150,0,0,1902,0,0, , ,7.47,10,10,10,1,1008000033,0,91,986266,210336,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,332.1173438,5812.565217,1546650,2,0,14128,14132,25,5625,33.84199905,33.84199905,0,33.84199905,0,846.0499763 +14130,MN,504,7501,102,49,2000,2,3,10013,L020,1,15,6800,1,2, ,180 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,RM,4,0, , ,12365,65473,14717,50756,0,14717,0,0,0,0,2,1,14,25,26,140.26,100,140,100, ,0,Y,0,5,1107437,20661287,0,0,2013,0,0, , ,5.3,3.44,0,6.5,1,1005047501,2616,49,983285,203779,12a, ,101N067,10206, ,1005040005,1/15/2016,1, , ,17V1.1,7,456.7979495,12302.3592,19553900,0,0,14129,14133,53,11925,17.73666573,25.63999939,7.903333664,22.55365383,2.864504799,1195.343653 +14131,MN,800,25,104,91,1002,2,3,10011,E001,13,15,5200,1,4,2A,119 WEST 24 STREET,M1-6, , , , , , , , , ,N,O3,5,0,P,119 WEST 24TH STREET,10709,130876,130876,0,130876,0,0,0,0,0,2,1,12,0,1,100,115.25,100,115, ,3,Y,5,2,2430000,14087700,0,0,1913,2015,1998, , ,12.22,0,10,10,1,1008000025,0,91,986134,210406,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,436.8562989,10995.88656,11657700,2,0,14130,14134,48,10800,33.84199905,35.22333527,1.381336212,33.87431391,0.198262764,1625.967068 +14132,MN,800,49,104,91,1001,2,3,10001,E001,13,15,5200,1,4,2A,112 WEST 25 STREET,M1-6, , , , , , , , , ,N,H2,5,0, ,LAM GEN 25 LLC,8527,181422,0,0,0,0,0,0,0,0,2,1,39,0,1,85,197.5,0,0, ,0,Y,4,5,729000,2079000,0,0,2016,0,0, , ,21.28,0,10,10,1,1008000049,0,91,986260,210446,8d, ,105S011,10305, ,1008000049,5/5/2015,1, , ,17V1.1,0,391.2354942,9195.444562,1350000,2,0,14131,14135,42,9450,33.84199905,40.33444595,6.492446899,34.21095685,1.407122399,1436.860188 +14133,MN,509,19,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,41 EAST HOUSTON STREET,C6-3, , , , , ,LI, , , ,N,D6,4,0, ,"KARASS MULBERRY 290,",2993,27043,2000,25043,0,2000,0,0,0,0,2,2,11,9,10,42,72.83,42,70, ,0,Y,3,5,1234872,7361511,0,2889094,2007,0,0, , ,9.04,7.52,6,10,1,1005090019,0,43,985667,203285,12c, ,101N076,10206, ,1005090019,7/27/2015,1, , ,17V1.1,0,232.5942826,3156.759306,6126640,9,0,14132,14136,14,3150,42.24222183,44.93999863,2.697776794,44.29015895,0.711442127,620.0622253 +14134,MN,402,7502,103,32,7002,1,2,10009,L011,9,14,6600,3,3, ,509 EAST 6 STREET,R7B, , , , , , , , , ,N,RM,4,0, , ,2272,9629,3915,5714,0,3915,0,0,0,0,2,1,6,8,9,0.05,0,25,63, ,0,N,0,5,279507,880901,0,0,1920,0,0, , ,4.24,3,0,3,1,1004027502,2642,32,988909,203552,12c, ,102 021,10203, ,1004020061,12/11/2015,1, , ,17V1.1,7,237.7685493,2388.846174,601394,1,0,14133,14137,11,2475,12.85000038,16.94111061,4.091110229,13.51262647,1.418486793,148.6388912 +14135,MN,522,7502,102,55.02,2005,2,1,10012,L009,9,15,5700,2,2, ,640 BROADWAY,M1-5B, , , , , , , , , ,N,RM,4,0, , ,5158,53439,11707,41732,0,0,0,0,0,11707,2,1,9,21,22,25.25,196.33,25,188, ,0,Y,0,5,540000,6111000,0,0,1900,0,0, , ,10.36,0,5,6.5,1,1005227502,2583,5502,985495,203861,12c, ,103 010,10206, ,1005220014,12/18/2015,1, , ,17V1.1,7,463.3109136,5384.977488,5571000,9,0,14134,14138,24,5400,38.52111053,40.37099838,1.849887848,40.0507768,0.5318954,961.2186432 +14136,MN,502,7502,102,49,2002,2,1,10012,L020,1,15,6800,1,2, ,414 WEST BROADWAY,M1-5A, , , , , , , , , ,N,RC,5,0, , ,3475,16830,16830,0,0,5962,0,0,0,10868,2,1,4,0,3,50,69.5,50,69, ,0,Y,0,5,783000,4066662,0,0,1900,0,0, , ,4.84,0,5,6.5,1,1005027502,2606,49,983739,203418,12a, ,100 000,10206, ,1005020035,1/15/2016,1, , ,17V1.1,7,242.3128596,3564.341649,3283660,0,0,14135,14139,16,3600,12.81888866,12.81888866,0,12.81888866,0,205.1022186 +14137,MN,4,7501,101,9,1019,2,1,10004,L015,1,15,7700, ,1, ,1 WATER STREET,C5-5, , , , , ,LM, , , ,N,RC,5,0, ,ONE NY PLAZA CO LLC,111382,1888126,1888126,0,1848626,39500,0,0,0,0,2,1,50,0,52,341.99,290.52,0,0, ,0,Y,0,5,47407501,203989504,0,0,1969,0,0, , ,16.95,10,15,15,1,1000047501,835,9,980917,195090,12b, ,101S001,10101, ,1000040001,12/3/1993,1,1,1,17V1.1,7,1360.324953,116801.1093,156582000,17,1,14136,14140,519,116775,6.213444233,15.36555576,9.15211153,7.664253218,1.963955432,3977.74742 +14138,MN,859,7503,105,74,3002,2,4,10016,E001,14,15,5200,1,5, ,110 MADISON AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,2344,30999,2198,28801,0,2198,0,0,0,0,2,1,17,18,19,0.05,0,24.69,95,E,1,N,0,5,1054800,4762230,976745,4412250,2013,2012,0, , ,13.22,10,10,10,1,1008597503,2629,74,988334,210727,8d, ,104 017,10306, ,1008590069,4/22/2016,1, , ,17V1.1,7,251.9355144,2512.002781,3707430,10,0,14137,14141,10,2250,37.89300156,37.89300156,0,37.89300156,0,378.9300156 +14139,MN,570,7503,102,61,1001,2,2,10003,L003,6,15,5700,3,2, ,110 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,RC,5,0, , ,19067,80639,80639,0,0,24927,0,0,0,55712,2,1,4,0,2,176.25,107.67,176.25,107, ,0,Y,0,5,1669500,1686150,0,0,1921,0,0, , ,4.23,6.02,2,6.5,1,1005707503,2601,61,986231,206804,12c, ,103 022,10207, ,1005700032,11/28/2015,1, , ,17V1.1,7,589.129601,20321.78572,16650,8,0,14138,14142,89,20025,33.2820015,33.93733597,0.655334473,33.2893648,0.069073958,2962.753468 +14140,MN,643,1,102,79,1005,2,3,10014,L005,6,15,6100,1,2,3B,521 WEST STREET,C6-2A, , , , , , , , , ,N,D5,3,0, ,95-97 HORATIO L.L.C.,62290,434276,38026,396250,0,38026,0,0,0,0,2,2,10,318,332,163.42,367.92,163,367.92, ,0,Y,3,2,17055000,58230450,0,0,1930,2011,1995,Gansevoort Market Historic District, ,6.97,6.02,6,6.5,1,1006430001,0,79,981801,208536,8b, ,103 014,10210,E-4,1006430001,2/11/2016,1,1,1,17V1.1,0,1079.114896,62684.70469,41175400,8,1,14139,14143,298,67050,7.369999886,11.07666683,3.706666946,7.505600187,0.56837907,2236.668856 +14141,MN,860,61,105,74,3000,2,2,10016,L007,14,15,5200,1,5,1A,129 MADISON AVENUE,C5-2, , , , , , , , , ,N,H6,3,0, ,ROGERS WILLIAMS,8273,98234,6775,0,0,0,0,0,0,6775,2,1,16,6,8,78,113,78,102,E,3,Y,3,2,3806100,28382400,570915,4255807,1931,1989,2011, , ,11.87,10,10,10,1,1008600061,0,74,988630,210914,8d, ,104 017,10306, ,1008600061,1/27/2016,1, , ,17V1.1,0,387.9882076,8585.421536,24576300,10,0,14140,14144,38,8550,37.50888824,38.47999954,0.971111298,37.59737075,0.220728808,1428.700089 +14142,MN,227,28,102,47,2005,2,1,10013,L008,1,15,6800,1,2,1A,306 WEST BROADWAY,M1-5A,M1-5B, , , , , , , , ,Y,HB,5,0, ,JDH INC,36421,189986,7500,0,0,7500,0,0,0,0,2,2,16,0,1,193,164.33,194.68,162.75, ,1,N,4,0,14857650,57932100,0,0,1996,2005,0, , ,5.22,0,5,6.5,1,1002270028,0,47,982997,202362,12a, ,101N042,10105, ,1002270028,2/18/2016,1,1,1,17V1.1,0,1067.857407,37018.23474,43074400,0,1,14141,14145,165,37125,9.686666489,9.686666489,0,9.686666489,0,1598.299971 +14143,MN,228,7503,102,47,2008,2,1,10013,L008,1,15,6800,1,2, ,27 WOOSTER STREET,M1-5B,M1-5A, , , , , , , , ,Y,RM,4,0, , ,0,42455,4244,38211,0,2164,2080,0,0,0,7,1,8,15,17,0,0,0,0, ,0,N,3,5,1471051,4324175,0,0,0,0,0, , ,0,0,5,6.5,1,1002287503,2659,47,983323,202308,12a, ,101N045,10105, ,1002280030,2/19/2016,1,1,1,17V1.1,7,390.2591438,9250.360666,2853120,0,1,14142,14146,39,8775,9.686666489,9.686666489,0,9.686666489,0,377.7799931 +14144,MN,793,54,104,81,1000,2,3,10011,L012,13,15,5600,1,4,1A,126 WEST 18 STREET,C6-2A, , , , , , , , , ,N,K4,4,0, ,126-128 WEST LLC,3864,9568,7728,1840,0,7728,0,0,0,0,2,1,3,1,2,42,92,42,92, ,3,N,5,0,378000,967950,0,0,1920,2015,0, ,126 WEST 18TH STREET STABLE,2.48,6.02,6,6.5,1,1007930054,0,81,985266,208943,8d, ,103 029,10305, ,1007930054,7/31/2015,1, , ,17V1.1,0,270.5513017,3886.827412,589950,7,0,14143,14147,17,3825,27.66555595,31.03000069,3.364444733,27.86346447,0.791634055,473.678896 +14145,MN,437,132,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,443 EAST 9 STREET,R7A, , , ,C1-5, , , , , ,N,S9,4,0, , ,726,4356,726,3630,0,726,0,0,0,0,2,1,6,5,7,27.67,26.25,27.67,26.25, ,3,N,5,2,96750,463050,0,0,1900,0,0, , ,6,4,0,4,1,1004370132,0,34,988981,204324,12c, ,102 020,10205, ,1004370031,11/20/2015,1, , ,17V1.1,0,112.6894831,793.4298509,366300,12,0,14144,14148,3,675,17.51666641,17.51666641,0,17.51666641,0,52.54999924 +14146,MN,437,31,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,441 EAST 9 STREET,R7A,R8B, , ,C1-5, , , , , ,Y,S9,4,0,P,145 AVENUE A REALTY L,726,4356,726,3630,0,726,0,0,0,0,2,2,6,5,7,27.67,26.25,27.67,26.25, ,3,N,5,2,83610,500104,0,0,1900,1986,2003, , ,6,4,0,4,1,1004370031,0,34,988956,204338,12c, ,102 020,10205, ,1004370031,11/20/2015,1, , ,17V1.1,0,117.9055649,868.2149848,416494,12,0,14145,14149,3,675,17.51666641,17.51666641,0,17.51666641,0,52.54999924 +14147,MN,437,30,103,34,3002,1,2,10009,L011,9,14,6200,1,3,4A,147 AVENUE A,R7A,R8B, , ,C1-5, , , , , ,Y,C7,4,0, ,215 AVENUE B REALTY L,2975,10635,2127,8508,0,2127,0,0,0,0,2,2,5,13,15,26.33,113,26,51, ,3,N,5,2,225450,1262700,0,0,1900,1984,0, , ,3.57,4,0,4,1,1004370030,0,34,989007,204342,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,284.9817853,3106.996495,1037250,12,0,14146,14150,14,3150,17.51666641,20.13777733,2.621110916,18.02680125,0.847587971,252.3752174 +14148,MN,601,10,102,69,1010,2,3,10014,E024,6,15,6400,1,2,1B,156 LEROY STREET,M1-5, , , , , , , , , ,N,D6,4,0, ,160 LEROY LLC,28275,184935,2150,182785,0,2150,0,0,0,0,2,8,13,57,58,176,200,1,1, ,0,Y,5,5,2196000,6036480,0,0,2016,2015,0, , ,6.54,0,5,6.5,1,1006010010,0,69,981475,205305,12a, ,103 001,10208,E-332,1006010010,12/24/2015,1,1,1,17V1.1,0,779.9987058,31286.48744,3840480,9,1,14147,14151,139,31275,7.427777767,10.40999985,2.98222208,8.310791691,0.415103694,1155.200045 +14149,MN,702,7501,104,99,1015,2,3,10001,E034,10,15,5500,2,4, ,500 WEST 33 STREET,C6-5, , , , , ,HY, , , ,N,RC,5,0,X, ,198898,3001515,3001515,0,1424935,1469929,0,0,0,106651,2,3,68,0,4,398.86,521.39,365.64,521.39, ,1,N,0,5,58004101,215721886,58004101,215721886,2015,0,0, , ,15.09,10,10,10,1,1007027501,2639,99,984001,213808,8d,Y,105S015,10302, ,1007020125,1/29/2016,1,1,1,17V1.1,7,1817.840362,201454.0906,157718000,6,1,14148,14152,895,201375,9.314444542,30.85000038,21.53555584,9.987819063,2.281908516,8939.098062 +14150,MN,145,7507,101,21,1000,2,1,10013,E007,1,15,7700,3,1, ,93 READE STREET,C6-3A, , , , , ,TMU, , , ,N,RM,4,0, , ,1875,10618,3048,7570,0,3048,0,0,0,0,2,1,6,4,5,24.83,75,25,75, ,0,N,0,5,43995,670996,0,0,1857,0,0, , ,5.66,7.52,6,7.5,1,1001457507,2611,21,982032,199926,12b, ,101S017,10104, ,1001450025,12/18/2015,1, , ,17V1.1,7,202.6711271,1900.606244,627001,14,0,14149,14153,9,2025,21.27222252,26.39666748,5.124444962,21.84160529,1.610457681,196.5744476 +14151,MN,239,12,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,92 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,GONG PARK REALTY CORP,7520,39100,3000,36100,0,3000,0,0,0,0,2,1,6,53,56,75.33,100.58,75.33,87, ,0,N,5,2,364500,1198800,0,0,1912,0,0, , ,5.2,6.02,6,6.5,1,1002390012,0,41,985468,200995,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,358.3164368,7800.466224,834300,0,0,14150,14154,34,7650,31.48699951,34.95888901,3.471889496,31.94294739,0.989253336,1086.060211 +14152,MN,239,15,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1A,223 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0,P,223 GRAND PROPERTY IN,2640,6050,6050,0,1256,1256,0,0,0,0,2,2,3,0,5,48,55.25,24,48, ,3,N,0,2,211950,1023750,0,0,1920,0,0, , ,2.29,6.02,6,6.5,1,1002390015,0,41,985488,201060,12c, ,101N049,10105, ,1002390015,1/4/2016,1, , ,17V1.1,0,220.464682,3006.238465,811800,0,0,14151,14155,13,2925,31.48699951,32.91333389,1.426334381,31.73538443,0.471648058,412.5599976 +14153,MN,239,14,102,41,2001,2,1,10013,L006,5,15,6800,1,2,1F,223 GRAND STREET,C6-2G, , , , , ,LI, , , ,N,K4,4,0, , ,1320,2600,2600,0,1300,1300,0,0,0,0,2,1,2,0,1,24,55,24,55, ,0,N,3,5,107100,279000,0,0,1930,0,0, , ,1.97,6.02,6,6.5,1,1002390014,0,41,985455,201076,12c, ,101N049,10105, ,1002390015,1/4/2016,1, , ,17V1.1,0,166.8649803,1407.645278,171900,0,0,14152,14156,6,1350,31.48699951,32.18233109,0.695331573,31.6539437,0.261439626,189.9236622 +14154,MN,514,7,102,49,1001,2,1,10012,L020,1,15,6800,1,2,1A,146 WOOSTER STREET,M1-5A, , , , , , , , , ,N,D7,4,0,P,150 WOOSTER LLC,7184,44151,11000,33151,0,11000,0,0,0,0,2,1,8,6,8,71.25,100.2,71,100, ,2,N,5,2,756000,1839223,0,0,2016,1989,0,SoHo-Cast Iron Historic District, ,6.15,0,5,6.5,1,1005140007,0,49,984437,203752,12c, ,101N072,10206,E-369,1005140007,2/10/2016,1, , ,17V1.1,0,344.1651033,7132.935809,1083220,9,0,14153,14157,31,6975,22.59666634,26.55666733,3.960000992,24.52046597,1.523970208,760.1344452 +14155,MN,858,56,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1A,28 EAST 29 STREET,C5-2, , , , , , , , , ,N,C1,2,0,X,PHIPPS AFFORDABLE HOU,2469,11725,0,11725,0,0,0,0,0,0,2,1,7,7,7,25,98.75,25,90, ,3,N,5,2,116242,450585,116242,450585,1970,2000,0, , ,4.75,10,10,10,1,1008580056,0,74,988431,210424,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,257.5698267,2553.528865,334343,11,0,14154,14158,12,2700,36.10889053,38.83222198,2.723331451,36.48568662,0.863444246,437.8282394 +14156,MN,738,79,104,83,2001,2,3,10011,L012,10,15,5600,1,4,1A,58 9 AVENUE,C6-2A, , , , , , , , , ,N,S3,4,0, ,DELSHAH 60 NINTH LLC,3413,7719,3413,4306,0,3413,0,0,0,0,2,2,3,3,4,34.13,100,34.13,100, ,3,N,5,5,1057571,1478316,0,0,1899,2015,2015,Gansevoort Market Historic District, ,2.26,6.02,6,6.5,1,1007380079,0,83,982941,209342,8b, ,103 036,10303, ,1007380079,4/8/2016,1, , ,17V1.1,0,282.9641378,3860.776757,420745,7,0,14155,14159,17,3825,16.15333366,16.15333366,0,16.15333366,0,274.6066723 +14157,MN,176,7501,101,33,2008,2,1,10013,E007,1,15,7700,3,1, ,56 LEONARD STREET,C6-4, , , , , , , , , ,N,RM,4,0, , ,0,366501,12660,353841,0,1456,11204,0,0,0,7,1,56,146,147,0,0,0,0, ,0,N,0,5,947254,39750434,0,22108060,0,0,0, , ,0,10,10,10,1,1001767501,2384,33,982519,200736,12a, ,101S036,10105, ,1001760026,4/1/2016,1, , ,17V1.1,7,462.2654868,13180.017,38803200,14,0,14156,14160,60,13500,14.40400028,20.26333427,5.859333992,14.60619658,0.876319545,876.3717947 +14158,MN,605,49,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,96 BARROW STREET,R6, , , , , , , , , ,N,A4,1,0, ,THE BOARD OF MANAGERS,1125,2000,0,2000,0,0,0,0,0,0,2,1,2.5,1,1,20,75,20,40, ,2,Y,5,2,18915,83196,0,0,1899,0,0,Greenwich Village Historic District, ,1.78,2.43,0,4.8,1,1006050049,0,69,982219,205932,12a, ,103 002,10208, ,1006050049,2/5/2015,1, , ,17V1.1,0,231.3503282,1841.799075,64281,9,0,14157,14161,9,2025,16.25555611,18.52000046,2.264444351,17.29185189,0.827620576,155.626667 +14159,MN,282,7502,103,8,6007,2,1,10002,E009,5,14,7800,1,3, ,107 EAST BROADWAY,C6-1G, , , , , , , , , ,N,RM,4,0, , ,1738,370,8768,370,7450,1318,0,0,0,0,2,1,6,1,7,0.03,0,0,0, ,3,N,0,5,467542,1097050,0,0,2014,0,0, , ,0.21,3.44,6,6.5,1,1002827502,2604,8,986189,199265,12d, ,101N054,10107, ,1002820024,2/26/2016,1, , ,17V1.1,7,204.6901183,1754.404136,629508,16,0,14158,14162,10,2250,34.88000107,38.06222153,3.182220459,35.51255646,1.265140661,355.1255646 +14160,MN,879,1,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,303 PARK AVENUE SOUTH,C6-4A,C6-2A, , , , , , , , ,Y,D6,4,0, ,FRIEDMAN FAMILY REAL,16035,75119,28000,47119,0,28000,0,0,0,0,2,1,5,34,58,98.75,156,99,154, ,3,Y,3,2,3582000,19160550,0,0,1930,1980,0, , ,4.68,10,10,10,1,1008790001,0,68,988188,208974,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,547.7249762,16844.25324,15578600,11,0,14159,14163,73,16425,28.24111176,33.00111389,4.760002136,28.49060644,1.037740634,2079.81427 +14161,MN,820,44,105,54,1003,2,3,10011,E014,13,15,5700,1,5,1O,134 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,O5,5,0, ,"134 5TH AVE.,",3671,14130,14130,0,11630,2500,0,0,0,0,2,1,5,0,6,25,160,25,140, ,3,Y,5,2,450000,1004400,0,0,1920,1986,0,Ladies' Mile Historic District, ,3.85,10,10,10,1,1008200044,0,54,986473,208498,8d, ,102 041,10306, ,0, ,1, , ,17V1.1,0,400.6139701,3755.944337,554400,7,0,14160,14164,16,3600,35.79800034,40.14111328,4.343112946,36.39270854,1.345819908,582.2833366 +14162,MN,846,2,105,52,2003,2,2,10003,E014,13,15,5700,1,5,1O,101 5 AVENUE,C6-4M, , , , , , , , , ,N,O6,5,0, ,"BSD MICHAEL 101, LLC",5900,71985,71985,0,55405,16580,0,0,0,0,2,1,11,0,16,59,100,59,100, ,3,N,5,2,3375000,22377600,0,0,1908,1985,0,Ladies' Mile Historic District, ,12.2,10,10,10,1,1008460002,0,52,986531,208150,8d, ,102 044,10306, ,0, ,1, , ,17V1.1,0,331.8572924,6378.477017,19002600,7,0,14161,14165,27,6075,39.36555481,39.36555481,0,39.36555481,0,1062.86998 +14163,MN,374,1,103,26.01,1001,1,2,10009,E028,9,14,6700,1,3,3A,54 AVENUE C,R7A, , , ,C2-5, , , , , ,N,C7,4,0, ,"303 E 4TH REALTY, LLC",1501,6929,1544,5385,0,1544,0,0,0,0,2,1,5,8,10,24.04,64.33,24.04,64.25,E,3,N,3,1,7755,66848,0,0,1900,0,0, , ,4.62,4,0,4,1,1003740001,0,2601,989827,202425,12c, ,102 014,10202, ,1003740001,2/7/2007,1, , ,17V1.1,0,181.249389,1674.413739,59093,1,1,14162,14166,7,1575,10.52222252,10.52222252,0,10.52222252,0,73.65555763 +14164,MN,378,31,103,26.02,1000,1,2,10009,L011,9,14,6700,1,3,4A,129 AVENUE D,R8A, , , ,C1-5, , , , , ,N,C7,4,0,P,129 AVE D LLC,2178,10420,1500,8920,0,1500,0,0,0,0,2,1,5,12,14,23.42,93,24,84, ,2,N,3,2,180000,880650,0,0,1910,1986,0, , ,4.78,6,0,6,1,1003780031,0,2602,990921,203160,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,243.1044841,2463.395507,700650,12,1,14163,14167,12,2700,7.409999847,10.79777813,3.387778282,8.506999969,1.512155004,102.0839996 +14165,MN,248,7501,103,6,2004,1,1,10002,E015,7,14,7800,1,3, ,215 CHERRY STREET,C6-4, , , , , , , , , ,N,RM,4,0, , ,94619,1093508,78969,1014539,0,44862,34107,0,0,0,2,2,72,1020,1022,286.73,330.95,113,215, ,1,N,3,2,19160550,33272201,0,0,2015,0,0, , ,11.56,10,10,10,1,1002487501,2589,6,986679,198115,12d, ,101N053,10106, ,1002480001,7/9/2015,1,1,1,17V1.1,7,1236.699158,94920.73882,14111700,16,1,14164,14168,421,94725,5.13866663,14.43999958,9.301332951,9.282027158,2.561803863,3907.733434 +14166,MN,321,1,103,10.01,1007,1,1,10002,L018,7,14,7600,1,3,2B,570 GRAND STREET,R7-2, , , , , , , , , ,N,D4,3,0,P,EAST RIVER HOUSING CO,298550,1231250,1000,1230250,1000,0,0,0,0,0,2,3,2,839,842,637.33,474.83,142,193, ,1,Y,1,0,8595450,43965000,2565233,2565233,1955,0,0, , ,4.12,3.44,0,6.5,1,1003210001,0,1001,990244,199524,12d, ,101N083,10201, ,0, ,1,1,1,17V1.1,0,2243.665973,307039.3695,35369600,13,1,14165,14169,1363,306675,7.427777767,19.65555573,12.22777796,11.27807373,2.75045569,15372.01449 +14167,MN,93,7501,101,15.01,1013,2,1,10038,E006,1,15,7700,1,1, ,156 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,RC,5,0, , ,19103,200826,200826,0,155410,0,0,0,0,45416,2,1,12,0,4,105.75,195.67,105.75,195.67, ,0,Y,0,5,2970000,16987500,0,0,1955,0,0, , ,10.51,10,10,10,1,1000937501,2647,1501,982704,197865,12b, ,101S012,10103, ,1000930020,11/28/2015,1, , ,17V1.1,7,791.3751352,19784.84949,14017500,4,0,14166,14170,84,18900,23.87555504,30.39333344,6.517778397,25.62567852,0.830142759,2152.556995 +14168,MN,764,7503,104,81,6000,2,3,10011,L012,10,15,5600,1,4, ,245 WEST 14 STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,0,36195,4318,31877,0,4318,0,0,0,0,7,1,12,27,28,0,0,0,0, ,0,N,0,5,1557451,6412054,0,0,0,0,0, , ,0,6.02,6,6.5,1,1007647503,2496,81,983850,208733,8b, ,103 032,10304, ,1007640012,4/1/2016,1, , ,17V1.1,7,321.9157096,5499.881459,4854600,7,0,14167,14171,26,5850,22.05333328,24.75555611,2.702222824,22.32820518,0.674155935,580.5333347 +14169,MN,693,7502,104,99,1034,2,3,10011,E003,10,15,5500,1,4, ,551 WEST 21 STREET,C6-3, , , , , ,WCH, , , ,N,RM,4,0, , ,0,153053,18798,134255,0,10868,7930,0,0,0,7,1,19,44,45,0,0,0,0, ,2,N,3,5,5477395,26235151,0,0,0,0,0, , ,0,7.52,6,10,1,1006937502,2620,99,982226,211640,8b, ,103 044,10301, ,1006930001,4/8/2016,1,1,1,17V1.1,7,563.8811356,17810.0671,20757800,7,1,14168,14172,79,17775,6.691111088,8.207221985,1.516110897,6.727981682,0.228973286,531.5105529 +14170,MN,423,12,103,18,5004,2,1,10002,L006,5,14,7400,1,3,1A,151 BOWERY,C6-1G, , , , , , , , , ,N,K4,4,0, ,151 EMMUT PROPERTIES,7069,22285,18285,4000,5963,2992,0,1000,0,0,2,3,3,3,10,40,115,40,72, ,3,Y,3,5,787500,3901050,0,0,1920,2000,0, , ,3.15,3.44,6,6.5,1,1004230012,0,18,985915,201254,12c, ,101N077,10204, ,1004230012,4/3/2015,1, , 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,17V1.1,7,1369.752797,93977.91708,82495904,8,0,14173,14177,419,94275,21.80333328,29.35222244,7.54888916,22.04182705,1.149663277,9235.525536 +14175,MN,174,28,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3B,71 FRANKLIN STREET,C6-2A, , , , , , , , , ,N,D9,3,0,P,"71 FRANKLIN, LLC",3963,18095,3619,14476,0,3619,0,0,0,0,2,1,5,8,10,53.67,75.58,54,85, ,3,Y,5,2,207040,1379851,0,0,1921,0,0,Tribeca East Historic District, ,4.57,6.02,6,6.5,1,1001740028,0,33,983042,200729,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,278.0581814,4159.312586,1172810,14,0,14174,14178,18,4050,21.5755558,27.97444344,6.398887634,22.2285187,1.855043412,400.1133366 +14176,MN,794,7503,104,87,1003,2,3,10011,L012,13,15,5600,1,4, ,138 WEST 19 STREET,C6-3A,C6-2A, , , , , , , , ,Y,R1,2,0, , ,1933,7943,0,7943,0,0,0,0,0,0,2,1,6,5,5,19.33,100,19,90, ,0,Y,0,5,255440,414069,0,0,1920,0,0, , ,4.11,7.52,6,7.5,1,1007947503,2454,87,985233,209235,8d, ,103 029,10305, ,1007940061,2/6/2015,1, , ,17V1.1,7,244.0039532,1909.357815,158629,7,0,14175,14179,8,1800,27.66555595,27.66555595,0,27.66555595,0,221.3244476 +14177,MN,494,7504,102,43,3006,2,1,10012,L020,5,15,6800,1,2, ,224 MULBERRY STREET,C6-2, , , , , ,LI, , , ,N,RM,4,0, , ,7429,30401,6034,24367,0,6034,0,0,0,0,2,1,8,6,8,75.17,98.67,75,99, ,0,N,0,5,417219,3514662,0,0,1926,0,0, , ,4.09,6.02,6,6.5,1,1004947504,2547,43,985400,202436,12c, ,101N076,10206, ,1004940001,2/23/2015,1, , ,17V1.1,7,355.8469699,7721.895681,3097440,0,0,14176,14180,33,7425,38.86500168,39.07277679,0.207775116,38.87129789,0.035616774,1282.752831 +14178,MN,91,7503,101,15.01,1015,2,1,10038,E006,1,15,7700,1,1, ,42 ANN STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,2925,22468,3151,19317,0,3151,0,0,0,0,2,1,10,7,8,25,118.75,25,118.75, ,3,N,4,5,258269,1474377,0,294004,1900,0,0, , ,7.68,10,15,15,1,1000917503,2474,1501,982243,198041,12b, ,100 000,10103, ,1000910012,2/17/2015,1, , 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,17V1.1,0,733.8859935,26713.66498,13807400,6,0,14189,14193,118,26550,13.46000004,14.97777748,1.517777443,13.61755652,0.295778838,1606.871669 +14191,MN,22,28,101,9,1002,2,1,10004,L015,1,15,7700,1,1, ,52 BROADWAY,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,RB 52 CO.,18640,345540,345540,0,278310,5300,9200,0,0,52730,2,1,19,0,22,124.87,158.83,125,159, ,2,Y,3,2,8370000,39709350,0,0,1897,2003,1982, , ,18.54,10,15,15,1,1000220028,0,9,980847,196668,12b, ,101S004,10101, ,0, ,1, , ,17V1.1,0,571.6707946,20046.03445,31339400,17,0,14190,14194,89,20025,16.9260006,32.19333267,15.26733208,18.42670715,4.023078824,1639.976936 +14192,MN,48,1,101,7,1000,2,1,10005,E004,1,15,7700,1,1, ,140 BROADWAY,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,140 BW LLC,52636,1141276,1141276,0,1141266,0,0,10,0,0,2,1,50,0,78,143.9,317.75,84,210, ,1,Y,1,2,23670000,136856250,0,0,1967,1984,0, ,"140 BROADWAY, ORIGINALLY THE MARINE",21.68,10,15,15,1,1000480001,0,7,981445,197457,12b, ,101S011,10101, ,0, ,1, , ,17V1.1,0,955.0375299,50824.23072,113186000,0,0,14191,14195,226,50850,32.83222198,47.54000092,14.70777893,34.41222881,1.426548901,7777.163712 +14193,MN,662,11,104,99,1020,2,3,10011,E003,10,15,5500,1,4,1B,111A 11 AVENUE,M2-3, , , , , , , , , ,N,T2,7,0,O,STATE OF NY-DEPT. OF,306950,105472,105472,0,0,0,105472,0,0,0,2,1,4,0,1,374.5,824.08,128.92,824.08, ,0,N,2,5,2469600,9236700,2469600,9236700,1908,2014,1995, , ,0.34,0,2,0,1,1006620011,0,99,981408,210925,8b, ,103 052,10301, ,0, ,1,1,1,17V1.1,0,2652.610321,168601.9794,6767100,7,1,14192,14196,718,161550,0,6.736666679,6.736666679,6.185414493,0.620820443,4441.127606 +14194,MN,570,7502,102,61,1001,2,2,10003,L003,6,15,5700,3,2, ,12 EAST 13 STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,6153,40407,0,0,0,0,0,0,0,0,2,1,12,8,9,67,99.75,67,99, ,0,Y,0,5,777562,4221388,0,0,1930,2013,0, , ,6.57,3.44,6,6.5,1,1005707502,2610,61,0,0,12c, , , , ,1005700011,8/13/2015,1, , ,17V1.1,7,329.9306091,6509.469906,3443830,8,0,14193,14197,28,6300,33.2820015,33.2820015,0,33.2820015,0,931.8960419 +14195,MN,533,10,102,55.01,2000,2,1,10012,L009,6,15,5700,1,2,2A,543 LA GUARDIA PLACE,C1-7, , , , , , , , , ,N,K1,5,0,P,NEW YORK UNIVERSITY,22276,32700,32700,0,16350,16350,0,0,0,0,2,1,1,0,8,215,148.17,191,78, ,2,N,5,2,1539000,6299100,341779,1753390,1960,0,0, , ,1.47,6.02,2,6.5,1,1005330010,0,5501,984799,204683,12c, ,103 008,10207,R-218,0, ,1, , ,17V1.1,0,669.0918766,25035.28893,4760100,9,0,14194,14198,110,24750,31.05111122,32.78111267,1.73000145,32.08335211,0.212221086,3529.168732 +14196,MN,533,1,102,55.01,2001,2,1,10012,L009,6,15,5700,1,2,2A,1 WASHINGTON SQ VLLGE,C1-7, , , , , , , , , ,N,H8,8,0,P,NEW YORK UNIVERSITY,265237,1485916,140481,0,4522,0,121624,0,0,14335,2,5,17,1904,1921,606,477,568,63, ,1,Y,3,2,8190450,38920950,6224742,29579922,1959,1985,0, , ,5.6,6.02,2,6.5,1,1005330001,0,5501,985027,204534,12c, ,103 008,10207,R-218,0, ,1, , ,17V1.1,0,2385.951126,261595.3714,30730500,9,0,14195,14199,1163,261675,30.12444496,37.58333206,7.4588871,32.75699331,1.515390116,38096.38322 +14197,MN,516,43,102,49,3002,2,1,10012,L020,1,15,6800,1,2,1A,161 PRINCE STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,159-161 PRINCE OWNERS,2375,9684,615,9069,0,615,0,0,0,0,2,1,5,24,25,25,95,25,82, ,3,N,5,2,315000,2061000,0,0,1900,2014,0,Sullivan-Thompson Historic District, ,4.08,3.44,0,6.5,1,1005160043,0,49,983914,203837,12a, ,101N071,10206, ,0, ,1, , ,17V1.1,0,246.432665,2527.62446,1746000,9,0,14196,14200,12,2700,17.67111206,17.67111206,0,17.67111206,0,212.0533447 +14198,MN,572,8,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,416 AVENUE OF THE AMER,C4-5, , , , , ,LC, , , ,N,D6,4,0,P,66 WEST ASSOCIATES,3388,20893,2800,18093,0,2800,0,0,0,0,2,1,7,30,32,43.67,77.58,44,74, ,2,N,3,2,864000,4215600,0,1043718,1900,1988,0,Greenwich Village Historic District, ,6.17,3.44,3.4,6.5,1,1005720008,0,63,984541,206681,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,256.2969601,3825.355415,3351600,8,0,14197,14201,18,4050,18.31999969,21.43888855,3.118888855,18.78950585,0.952013678,338.2111053 +14199,MN,594,105,102,37,1016,2,3,10013,L008,1,15,6800,1,2,1B,225 HUDSON STREET,C6-2A, , , , , , , , , ,N,C7,4,0,P,PONTE EQUITIES INC,1925,7020,1120,5900,0,1120,0,0,0,0,2,1,5,12,14,35.17,45.92,35,48, ,2,Y,5,2,157500,701550,0,0,1910,2000,2015, , ,3.65,6.02,6,6.5,1,1005940105,0,37,982004,203145,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,192.0882717,2018.962612,544050,0,1,14198,14202,10,2250,7.988888741,8.149999619,0.161110878,8.133888531,0.048333263,81.33888531 +14200,MN,883,31,106,68,6000,2,2,10016,E016,13,14,5300,1,6,1B,139 EAST 27 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,139 E 27 REALTY LLC,3950,15360,0,15360,0,0,0,0,0,0,2,1,6,32,32,40,98.75,40,64, ,3,N,5,0,351000,1845450,0,0,1967,0,0, , ,3.89,4,0,4,1,1008830031,0,68,989160,209609,8d, ,104 006,10307, ,0, ,1, , ,17V1.1,0,287.1012635,4125.04173,1494450,11,0,14199,14203,19,4275,33.40789032,37,3.59210968,34.31462097,1.32293677,651.9777985 +14201,MN,731,1,104,103,1002,2,3,10001,L021,10,15,5500,1,4,2B,460 WEST 34 STREET,C6-4, , , , , ,HY, , , ,N,O6,5,0,P,460 WEST 34TH STREET,33900,538520,538520,0,508659,29861,0,0,0,0,2,1,18,0,50,176,198,148,198, ,1,Y,3,0,2704500,36367200,0,0,1927,1989,0, , ,15.89,10,10,10,1,1007310001,0,103,984533,213998,8d, ,105S018,10302, ,0, ,1, , ,17V1.1,0,763.8609953,34742.08917,33662700,6,0,14200,14204,154,34650,34.63800049,48.82110977,14.18310928,36.13566706,3.632681098,5564.892727 +14202,MN,830,28,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,1178 BROADWAY,M1-6, , , , , , , , , ,N,O5,5,0, ,1178 BROADWAY HOLDING,4448,20776,20776,0,16681,4095,0,0,0,0,2,2,5,0,7,26.5,100.67,27,110, ,3,Y,3,2,900000,3043800,0,0,1908,1986,0,Madison Square North Historic District, ,4.67,0,10,10,1,1008300028,0,76,987479,210792,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,426.1247992,4851.358581,2143800,11,0,14201,14205,21,4725,43.21222305,44.01377869,0.801555634,43.25039237,0.17069837,908.2582397 +14203,MN,39,7501,101,7,1017,2,1,10005,E004,1,15,7700, ,1, ,164 PEARL STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0,P,THE SEAPORT SO CONDO,10576,90163,8173,81990,0,8173,0,0,0,0,2,1,12,121,122,174,63,0,0, ,0,Y,5,5,2416494,19689298,189343,1179987,1956,0,0, , ,8.53,10,15,15,1,1000397501,122,7,982241,196409,12b, ,101S006,10101, ,0, ,1,1,1,17V1.1,7,475.3463604,10726.43966,17272800,4,1,14202,14206,48,10800,7.76222229,11.29555607,3.533333778,7.971152862,0.713628862,382.6153374 +14204,MN,453,8,103,40,5000,1,2,10003,E005,9,14,6200,1,3,4B,188 2 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,188 2 EQUITIES CORP,4133,19299,3217,16082,0,3217,0,0,0,0,2,1,6,20,22,41.33,100,41,94,E,2,N,3,2,1037700,3076200,0,0,1920,1987,0, , ,4.67,4,0,4,1,1004530008,0,40,988217,205516,12c, ,102 027,10205, ,0, ,1, , ,17V1.1,0,298.0391352,4646.204968,2038500,12,0,14203,14207,20,4500,24.84000015,29.29633331,4.45633316,27.24294968,1.111209423,544.8589935 +14205,MN,854,7501,105,56,1005,2,2,10010,E016,13,15,5700, ,5, ,11 MADISON AVENUE,C5-3, , , , , , , , , ,N,RB,5,0, , ,83937,1630256,1630256,0,14622,0,0,1615634,0,0,2,1,30,0,36,1.92,425,0,0, ,0,N,5,5,57554996,215262445,0,0,1932,0,0, , ,19.42,10,15,15,1,1008547501,925,56,987995,209430,8d, ,104 003,10306, ,1008540001,3/21/1996,1, , ,17V1.1,7,1247.572503,84364.64043,157707008,11,0,14204,14208,376,84600,33.9090004,36.9366684,3.027667999,34.02373649,0.499350447,12792.92492 +14206,MN,853,2,105,56,1006,2,2,10010,E016,13,15,5700,1,5,1O,1 MADISON AVENUE,C5-3, , , , , , , , , ,N,O6,5,0, , ,77577,1176911,1176911,0,1098892,34035,0,43984,0,0,2,1,14,0,26,0,0,123,425, ,3,Y,3,2,17989650,204937650,0,0,1932,0,0, , ,15.17,10,15,15,1,1008530002,0,56,987880,209193,8d, ,104 003,10306, ,1008531001,2/27/2006,1, , ,17V1.1,0,1250.106812,78334.23365,186948000,11,0,14205,14209,349,78525,33.80977631,37.58333588,3.77355957,33.96494149,0.312153408,11853.76458 +14207,MN,175,7506,101,33,1004,2,1,10013,L001,1,15,7700,3,1, ,5 FRANKLIN PLACE,C6-4A, , , , , , , , , ,N,RM,4,0, , ,7511,83596,3662,79934,0,3662,0,0,0,0,2,1,19,51,52,0.17,0,50,130, ,0,N,0,5,628199,13336651,0,0,1920,0,0, , ,11.13,10,10,10,1,1001757506,2580,33,983227,200805,12a, ,101S033,10105, ,1001750031,7/7/2015,1, , ,17V1.1,7,425.9145587,8268.186355,12708500,14,0,14206,14210,37,8325,17.40222168,27.60300064,10.20077896,24.9946004,1.589101313,924.8002148 +14208,MN,489,7502,102,47,1001,2,3,10012,L008,1,15,6800,1,2, ,55 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,14020,62753,11772,50981,0,10835,0,937,0,0,2,1,9,39,40,0.32,0,100,200, ,0,N,0,5,5422050,20664599,7873,11103252,2009,0,0,Sullivan-Thompson Historic District, ,4.48,0,5,6.5,1,1004897502,2593,47,983197,203042,12a, ,101N069,10206, ,1004890001,10/16/2015,1,1,1,17V1.1,7,607.4254078,14127.60142,15242500,0,1,14207,14211,63,14175,9.686666489,11.90800095,2.221334457,9.741118007,0.285980496,613.6904345 +14209,MN,466,7502,103,40,3000,1,2,10003,E033,9,14,6200,4,3, ,55 3 AVENUE,C6-2A,R8B, , , , , , , , ,Y,RM,4,0, , ,13147,67227,15583,51644,0,15583,0,0,0,0,2,1,12,55,57,0.3,0,105,121, ,0,Y,0,5,2880000,9694350,0,0,1986,2014,2015, , ,5.11,6.02,6,6.5,1,1004667502,2484,40,987465,205593,12c, ,102 026,10205, ,1004660005,7/7/2015,1, , ,17V1.1,7,478.9893957,13857.12636,6814350,12,0,14208,14212,61,13725,32.08111191,37.41555405,5.334442139,36.62488106,1.167475155,2234.117744 +14210,MN,16,7521,101,317.03,2005,2,1,10282,L010,1,15,8900,1,1, ,212 WARREN STREET,BPC, , , , , ,BPC, , , ,N,R4,3,0,X, ,14500,289251,1418,287833,0,0,0,1418,0,0,2,1,27,166,166,196.58,71.5,196,71, ,0,Y,0,5,1921502,42976790,1921502,42976790,2000,0,0, , ,19.95,0,0,0,1,1000167521,2557,31703,979861,200598,12a, ,101S090,10101, ,1000160190,7/30/2015,1,1, ,17V1.1,7,547.5164209,16669.21895,41055300,3,1,14209,14213,73,16425,13.99100018,15.29022217,1.299221992,14.08875054,0.285642471,1028.478789 +14211,MN,691,7502,104,99,1042,2,3,10011,E003,10,15,5500,1,4, ,505 WEST 19 STREET,C6-2, , , , , ,WCH, , , ,N,RM,4,0, , ,18975,91665,11714,79951,0,10627,694,393,0,0,2,1,10,35,37,92,206.25,92,206.25, ,2,N,0,5,5616904,20582817,0,0,2013,0,0, , ,4.83,6.02,6,6.5,1,1006917502,2598,99,982504,210922,8b, ,103 044,10301,E-142,1006910029,8/13/2015,1,1,1,17V1.1,7,610.1777658,19418.0936,14965900,7,1,14210,14214,87,19575,6.974444389,10.90666676,3.932222366,8.768230115,0.687620235,762.83602 +14212,MN,348,77,103,14.02,2001,1,1,10002,L018,7,14,7400,1,3,2A,166 DELANCEY STREET,R8A, , , ,C1-5, , , , , ,N,S9,4,0, ,166 DELANCEY LLC,1500,8892,1482,7410,0,1482,0,0,0,0,2,1,6,5,9,25,60,20,60, ,3,N,3,2,65083,359746,0,0,1900,0,0, , ,5.93,6,0,6,1,1003480077,0,1402,988274,200872,12c, ,101N080,10201, ,0, ,1, , ,17V1.1,0,176.0693884,1656.989452,294663,13,0,14211,14215,7,1575,23.08555603,23.08555603,0,23.08555603,0,161.5988922 +14213,MN,52,30,101,13,1001,2,1,10006,E010,1,15,7700,1,1,1A,112 TRINITY PLACE,C5-5, , , , , ,LM, , , ,N,K4,4,0,P,111 CEDAR ST CO,2662,13300,13300,0,3000,6000,0,4300,0,0,2,1,5,0,2,52.58,28.92,52.58,28.92, ,0,Y,3,5,477000,1160100,0,0,1978,2003,0, , ,5,10,15,15,1,1000520030,0,13,980957,197814,12b, ,101S010,10101, ,0, ,1, , ,17V1.1,0,311.7973733,2808.29448,683100,3,0,14212,14216,12,2700,17.55500031,22.43777847,4.882778168,18.65263939,1.790280657,223.8316727 +14214,MN,662,3,104,99,1020,2,3,10011,E003,10,15,5500,1,4,1B,25 11 AVENUE,M1-5, , , , , , , , , ,N,T2,7,0,O,NYS PARKS & RECREATIO,327389,94250,94250,0,0,0,94250,0,0,0,2,1,2,0,1,372.88,878,129.08,725, ,0,Y,2,5,13259250,16571250,13259250,16571250,1900,2016,0, , ,0.29,0,5,6.5,1,1006620003,0,99,981313,210176,8b, ,103 052,10301, ,0, ,1,1,1,17V1.1,0,2301.608961,143966.0605,3312000,7,1,14213,14217,565,127125,0,8.690000534,8.690000534,1.328514645,2.89191117,750.6107743 +14215,MN,794,30,104,87,1003,2,3,10011,L012,13,15,5600,1,4,1A,615 AVENUE OF THE AMER,C6-2A,C6-3A, , , , , , , , ,Y,O5,5,0, ,625 OWNERSHIP,28042,134235,123235,11000,77005,46230,0,0,0,0,2,1,5,7,13,184,158.67,122,149, ,2,Y,3,2,11250000,33586200,0,0,1904,1987,0,Ladies' Mile Historic District, ,4.79,6.02,6,6.5,1,1007940030,0,87,985580,208993,8d, ,103 029,10305, ,0, ,1, , ,17V1.1,0,696.6300837,29081.61781,22336200,7,0,14214,14218,128,28800,27.66555595,33.56000137,5.894445419,27.80906288,0.794736751,3559.560049 +14216,MN,190,7509,101,33,3013,2,1,10013,E007,1,15,7700,3,1, ,11 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,11206,59134,1530,57604,0,0,1530,0,0,0,2,1,9,18,18,175.33,65.33,175,64, ,0,Y,0,5,1573211,9797011,0,0,2013,0,0, , ,5.28,6.02,6,6.5,1,1001907509,2650,33,982459,201619,12a, ,101N041,10105, ,1001900037,1/15/2016,1, , ,17V1.1,7,476.8030883,11320.23647,8223800,14,1,14215,14219,49,11025,9.793333054,13.71111107,3.917778015,12.36510197,0.821310437,605.8899965 +14217,MN,8,51,101,9,1015,2,1,10004,L015,1,15,7700,1,1, ,6 WATER STREET,C5-5, , , , , ,LM, , , ,N,H2,5,0,P,AI IV LLC,3889,102407,0,0,0,0,0,0,0,0,2,2,29,0,249,75.5,51.65,75,52, ,3,Y,3,2,1754100,16928592,0,0,2015,2015,0, , ,26.33,10,15,15,1,1000080051,0,9,980858,195388,12b, ,101S001,10101, ,0, ,1,1,1,17V1.1,0,280.9674425,4460.344587,15174500,17,1,14216,14220,21,4725,7.23777771,7.425000191,0.187222481,7.416084835,0.039870685,155.7377815 +14218,MN,490,27,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,124 AVENUE OF THE AMER,M1-5B, , , , , , , , , ,N,A7,1,0, ,ATLANTIC INVESTORS LL,2286,4607,0,4607,0,0,0,0,0,0,2,2,5,1,1,25,94,25,45, ,3,Y,4,2,29955,823658,0,0,2014,0,0, , ,2.02,0,5,6.5,1,1004900027,0,47,983178,203423,12a, ,101N067,10206, ,1004900027,1/29/2016,1, , ,17V1.1,0,243.4546737,2404.753571,793703,0,0,14217,14221,11,2475,15.65555573,21.9533329,6.297777176,19.68428265,2.349447294,216.5271091 +14219,MN,441,31,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,221 AVENUE A,C1-6A, , , , , , , , , ,N,C7,4,0,P,"221 AVENUE A, LLC.",2533,11796,1966,9830,0,1966,0,0,0,0,2,1,6,22,24,25.33,100,25,86, ,3,N,5,2,279000,1520100,0,0,1900,1986,0, , ,4.66,4,2,4,1,1004410031,0,34,989562,205331,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,256.7745231,2609.26446,1241100,12,0,14218,14222,11,2475,16.39666748,16.39666748,0,16.39666748,0,180.3633423 +14220,MN,441,33,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,215 AVENUE A,C1-6A, , , , , , , , , ,N,C7,4,0,P,215-217 AVENUE A LLC,5167,19830,3966,15864,0,3966,0,0,0,0,2,2,5,36,39,51.67,100,26,88, ,3,Y,5,2,657000,2078100,0,0,1880,1987,0, , ,3.84,4,2,4,1,1004410033,0,34,989529,205272,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,309.7792559,5340.117817,1421100,12,0,14219,14223,23,5175,16.39666748,16.39666748,0,16.39666748,0,377.1233521 +14221,MN,441,32,103,34,4000,1,2,10009,L011,9,14,6200,1,3,4A,219 AVENUE A,C1-6A, , , , , , , , , ,N,C7,4,0,P,219 AVE A NYC LLC,2410,6319,1264,5055,0,1264,0,0,0,0,2,1,5,11,12,28.08,85.83,28,50, ,3,N,5,2,189900,789750,0,0,1900,1987,0, , ,2.62,4,2,4,1,1004410032,0,34,989555,205304,12c, ,102 028,10205, ,1004410023,1/8/2015,1, , ,17V1.1,0,234.0178422,2498.341575,599850,12,0,14220,14224,12,2700,16.39666748,16.39666748,0,16.39666748,0,196.7600098 +14222,MN,878,48,106,68,4001,2,2,10010,E005,13,14,5300,1,6,1B,154 EAST 23 STREET,C2-8A, , , , , , , , , ,N,W4,8,0, ,154 EAST 23 LLC,7406,15783,15783,0,15783,0,0,0,0,0,2,3,7,0,1,75,98.75,25,90,E,3,N,5,2,1161000,1161450,0,0,1910,2015,0, , ,2.13,10,2,10,1,1008780048,0,68,988669,208480,8d, ,104 005,10307, ,1008780048,1/22/2015,1, , ,17V1.1,0,354.3440141,7636.812606,450,11,0,14221,14225,34,7650,25.66200066,27.13777733,1.475776672,25.77620321,0.371922538,876.3909092 +14223,MN,412,21,103,30.01,1001,1,1,10002,L018,7,14,6600,1,3,3B,205 EAST HOUSTON STREET,C6-2A,C4-4A, , , , , , , , ,Y,K1,5,0, ,KATZ DELICATESSEN OF,7003,6310,6310,0,0,6310,0,0,0,0,2,1,1,0,1,35,124.08,35,121, ,3,Y,3,2,283500,1429200,0,0,1900,0,0, , ,0.9,6.02,6,6.5,1,1004120021,0,3001,987709,202361,12c, ,102 003,10204,E-216,1004120021,8/3/2015,1, , ,17V1.1,0,445.5462249,7363.355163,1145700,1,0,14222,14226,33,7425,32.53555679,34.02799988,1.492443085,33.98277433,0.255834334,1121.431553 +14224,MN,352,7501,103,18,2000,2,1,10002,L018,7,14,7400,2,3, ,115 DELANCEY STREET,C6-1, , , , , , , , , ,N,RM,4,0, , ,43206,320601,135116,185485,0,45070,0,0,0,90046,2,1,26,195,199,170.67,252.8,0,0, ,0,N,0,5,5832900,6261710,0,0,2016,0,0, , ,7.42,3.44,6,6.5,1,1003527501,2626,18,987563,200834,12c, ,101N079,10201, ,1003520001,10/23/2015,1, , ,17V1.1,7,881.1424943,46210.07018,428810,13,0,14223,14227,204,45900,30.4766674,33.71888733,3.242219925,31.76916227,0.627399376,6480.909103 +14225,MN,346,7501,103,14.02,1004,2,1,10002,L018,7,14,7400,2,3, ,145 CLINTON STREET,R8, , , ,C2-5, , , , , ,N,RM,4,0, , ,45083,224741,68781,155960,0,68781,0,0,0,0,2,3,15,3,5,200,301,25,80,E,0,Y,0,5,6086250,8645108,0,0,2015,0,0, , ,4.99,6.02,0,6.5,1,1003467501,2623,1402,987928,200328,12c, ,101N080,10201, ,1003460040,9/30/2015,1, , ,17V1.1,7,1010.292455,45136.33388,2558860,13,0,14224,14228,200,45000,29.23888779,35.85555649,6.616668701,32.92030555,2.177131382,6584.06111 +14226,MN,622,48,102,73,5000,2,3,10014,L005,6,15,6400,1,2,2K,282 WEST 4 STREET,R6, , , , , , , , , ,N,C4,2,0, ,ELEVENTH AND FOURTH P,3397,9944,0,9944,0,0,0,0,0,0,2,3,4,11,11,53.5,63.5,53.5,63.5,E,0,Y,3,5,495000,948582,0,0,1900,2015,0,Greenwich Village Historic District, ,2.93,2.43,0,4.8,1,1006220048,0,73,983240,207424,12a, ,103 015,10210, ,1006220048,10/7/2015,1, , ,17V1.1,0,245.2533501,3706.126377,453582,8,0,14225,14229,15,3375,25.19199944,27.89266586,2.700666428,25.67493286,0.976243688,385.1239929 +14227,MN,492,7505,102,43,2000,2,1,10012,L020,5,15,6800,1,2, ,210 BOWERY,C6-1, , , , , ,LI, , , ,N,RM,4,0, , ,0,16110,2400,13710,0,2400,0,0,0,0,7,1,8,7,8,0,0,0,0, ,0,N,0,5,87939,695219,0,0,0,0,0, , ,0,3.44,6,6.5,1,1004927505,2581,43,985942,202210,12c, ,101N076,10206, ,1004920030,12/9/2016,1, , ,17V1.1,7,257.0694002,2616.513825,607280,0,0,14226,14230,12,2700,39.76666641,40.04977798,0.283111572,39.79025904,0.078247905,477.4831085 +14228,MN,904,10,106,64,1000,2,2,10010,E016,13,14,5900,1,6,1B,215 EAST 23 STREET,C2-8A, , , , , , , , , ,N,H8,8,0,P,OCEAN DRIVE REALTY AS,4805,69706,3100,0,0,3100,0,0,0,0,2,1,22,0,2,48.66,98.75,48.66,180, ,0,N,5,5,1435500,10671300,0,0,2001,0,0, , ,14.51,10,2,10,1,1009040010,0,64,989224,208396,8d, ,104 007,10308, ,1009040010,12/23/2015,1, , ,17V1.1,0,299.3342392,4905.523549,9235800,11,0,14227,14231,21,4725,21.18099976,24.81777763,3.636777878,21.53132257,1.024976553,452.157774 +14229,MN,84,7501,101,21,2008,2,1,10007,E010,1,15,7700, ,1, ,140 WEST STREET,C6-4, , , , , ,LM, , , ,N,RM,4,0, , ,51055,561157,560193,372062,462010,98183,0,0,0,0,2,1,32,157,170,212.83,255,0,0, ,1,Y,0,5,14771215,92330910,0,136248,1930,0,0, , ,10.99,10,10,10,1,1000847501,2442,21,980664,199324,12b, ,101S038,10102, ,1000840001,12/9/2013,1,1,1,17V1.1,7,951.2692844,52430.24365,77559696,3,1,14228,14232,234,52650,8.302222252,8.302222252,0,8.302222252,0,1942.720007 +14230,MN,113,7501,101,29,4022,2,1,10038,E006,5,15,7700,3,1, ,375 PEARL STREET,C6-4, , , , , , , , , ,N,RB,5,0,P, ,58193,822318,822318,0,0,0,0,0,0,822318,2,1,32,0,5,229.61,183.05,0,0, ,0,Y,5,5,15712200,74666700,0,0,1912,0,0, , ,14.13,10,10,10,1,1001137501,1818,29,983924,198279,12b,Y,101S022,10104, ,1001130150,9/3/2008,1, , ,17V1.1,7,1039.59977,54907.19099,58954500,4,0,14229,14233,243,54675,19.69444466,26.21666718,6.522222519,22.95581841,1.010634488,5578.263874 +14231,MN,212,7504,101,33,3008,2,1,10013,L008,1,15,7700,3,1, ,50 VARICK STREET,C6-2A, , , , , ,TMU, , , ,N,RB,5,0, , ,33561,245510,245510,0,245510,0,0,0,0,0,2,1,8,0,7,180,186,140,230, ,0,N,0,5,3375449,24881400,0,0,1960,0,0, , ,7.32,6.02,6,6.5,1,1002127504,2153,33,982546,201985,12a, ,101N041,10105, ,1002120009,9/9/2010,1, ,1,17V1.1,7,777.2777722,35707.66366,21506000,0,1,14230,14234,159,35775,10.07111073,15.67333317,5.602222443,11.23628231,0.696618149,1786.568888 +14232,MN,911,7503,106,70,2001,2,2,10016,L007,17,14,5800,2,6, ,227 EAST 30 STREET,R7B, , , , , , , , , ,N,RB,5,0, , ,28884,182477,182477,0,70261,0,0,0,0,112216,2,1,8,0,10,0.66,0,0,0, ,0,N,0,5,1321200,25065001,508714,9651003,1920,2004,2004, , ,6.32,3,0,3,1,1009117503,2117,70,990208,209970,8d, ,104 021,10308, ,1009110017,2/10/2010,1, , ,17V1.1,7,768.026213,29658.44533,23743800,10,0,14231,14235,132,29700,29.22888947,32.33889008,3.11000061,29.33473203,0.47027602,3872.184628 +14233,MN,700,59,104,99,1028,2,3,10001,E034,10,15,5500,1,4,2B,546 WEST 29 STREET,C6-3, , , , , ,WCH, , , ,N,D6,4,0, ,550 WEST 29TH STREET,7406,66388,5023,61365,0,5023,0,0,0,0,2,3,12,19,20,75,98.75,98.75,75, ,3,N,5,2,1095480,2346480,0,0,2016,0,0, , ,8.96,7.52,6,10,1,1007000059,0,99,983191,213325,8b, ,105S015,10301,E-142,1007000059,2/17/2016,1, ,1,17V1.1,0,352.2077494,7563.622022,1251000,6,1,14232,14236,35,7875,11.10666656,11.69844437,0.591777802,11.48512701,0.075262058,401.9794455 +14234,MN,836,15,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,29 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K2,5,0,P,29 WEST 34TH OWNER LL,2469,17750,17750,0,0,17750,0,0,0,0,2,1,3,0,2,25,98.75,0,0, ,0,N,5,5,1773000,18781200,0,0,2009,0,0, , ,7.19,10,15,15,1,1008360015,0,76,988047,212326,8d, ,104 027,10306, ,1008360015,5/13/2008,1, , ,17V1.1,0,316.191393,5404.558925,17008200,10,0,14233,14237,24,5400,49.37444305,49.62900162,0.254558563,49.53517199,0.109917533,1188.844128 +14235,MN,836,18,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,21 WEST 34 STREET,C5-3, , , , , ,MID, , , ,N,K2,5,0, ,21 WEST 34 OWNER LLC,4429,19054,19054,0,0,19054,0,0,0,0,2,1,2,0,1,50,98.75,0,0, ,0,Y,5,5,3028500,28144800,0,0,2009,0,0, , ,4.3,10,15,15,1,1008360018,0,76,988098,212294,8d, ,104 027,10306, ,1008360018,2/7/2017,1, , ,17V1.1,0,363.1652079,7360.897111,25116300,10,0,14234,14238,33,7425,49.37444305,49.96222305,0.587779999,49.59864275,0.169442651,1636.755211 +14236,MN,29,70,101,9,1005,2,1,10004,L015,1,15,7700,1,1,1B,75 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,75 BROAD LLC,26068,661283,661283,0,646657,14626,0,0,0,0,2,1,34,0,96,230.37,112.17,230,112, ,3,Y,3,2,11745000,70245450,0,0,1928,2004,2004, , ,25.37,10,15,15,1,1000290070,0,9,981134,196012,12b, ,101S002,10101, ,0, ,1,1,1,17V1.1,0,725.9782029,27285.21549,58500400,17,1,14235,14239,122,27450,9.045556068,11.23400021,2.188444138,11.13778891,0.38489327,1358.810247 +14237,MN,39,12,101,7,1005,2,1,10005,E004,1,15,7700,1,1,1B,110 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,O4,5,0,P,80 PINE LLC,48946,1104184,1104184,0,1055911,19897,28376,0,0,0,2,1,38,0,70,223.42,255.17,179,254, ,1,Y,1,2,25425000,74783250,0,0,1961,2007,0, , ,22.56,10,15,15,1,1000390012,0,7,982364,196545,12b, ,101S006,10101, ,0, ,1,1,1,17V1.1,0,900.7969521,50081.98337,49358200,4,1,14236,14240,221,49725,6.442222595,9.381111145,2.93888855,7.593593179,0.194468024,1678.184093 +14238,MN,282,23,103,8,6007,2,1,10002,E009,5,14,7800,1,3,1A,95 HENRY STREET,C6-1G, , , , , , , , , ,N,H3,5,0,P,PCK REALTY INC,7341,44491,10399,0,0,9640,0,0,0,0,2,1,7,0,1,49.9,175.34,175.34,49.9, ,3,Y,4,0,2214000,8089200,0,0,2011,0,0, , ,6.06,3.44,6,6.5,1,1002820023,0,8,986217,199208,12d, ,101N054,10107, ,0, ,1, , ,17V1.1,0,463.7238669,7752.279738,5875200,16,0,14237,14241,33,7425,34.88000107,37.81666565,2.936664581,35.13055293,0.710416081,1159.308247 +14239,MN,427,7506,103,36.01,3001,1,1,10002,L020,5,14,6500,2,3, ,255 BOWERY,C6-1, , , , , , , , , ,N,RM,4,0, , ,0,10080,4096,5984,1842,2254,0,0,0,0,7,1,8,4,6,0,0,0,0, ,0,N,0,5,141689,605221,0,0,0,0,0, , ,0,3.44,6,6.5,1,1004277506,2684,3601,986305,202716,12c, ,102 001,10204, ,1004270006,7/8/2016,1, , ,17V1.1,7,256.7348163,2403.126125,463532,9,0,14238,14242,11,2475,40.95600128,46.29999924,5.343997955,41.44181928,1.536291395,455.8600121 +14240,MN,434,53,103,32,2000,1,2,10009,L011,9,14,6600,1,3,3B,409 EAST 6 STREET,R8B, , , , , , , , , ,N,D1,3,0, ,JULY 15 REAL ESTATE L,2974,12786,0,12786,0,0,0,0,0,0,2,1,6,26,26,32.75,90.83,33,76, ,3,N,5,2,270000,1956600,0,0,1920,1984,0,East Village/Lower East Side Historic Di, ,4.3,4,0,4,1,1004340053,0,32,988273,203903,12c, ,102 020,10205, ,0, ,1, , ,17V1.1,0,255.8008974,3125.51111,1686600,1,0,14239,14243,14,3150,19.02555466,20.12299919,1.097444534,19.9698722,0.375207339,279.5782108 +14241,MN,500,11,102,49,1006,2,1,10012,L020,1,15,6800,1,2,1A,120 WOOSTER STREET,M1-5A, , , , , , , , , ,N,O5,5,0, ,120 WOOSTER,10100,52526,49976,2550,41222,8754,0,0,0,0,2,1,6,1,17,101,100,101,94,E,3,N,5,2,2272500,16178850,0,0,1900,1988,0,SoHo-Cast Iron Historic District, ,5.2,0,5,6.5,1,1005000011,0,49,984229,203428,12c, ,101N072,10206, ,0, ,1, , ,17V1.1,0,410.0102209,10501.84982,13906400,0,0,14240,14244,47,10575,17.84111023,24.89599991,7.054889679,21.81473245,2.779211967,1025.292425 +14242,MN,526,11,102,65,3002,2,3,10014,L009,6,15,5700,1,2,2A,260 AVENUE OF THE AMER,R7-2, , , ,C1-5, , , , , ,N,C7,4,0, ,MACDOUGAL & SIXTH REA,4000,15900,1050,14850,0,1050,0,0,0,0,2,1,6,31,32,40,100,40,86, ,2,N,5,2,391500,3308850,0,2108797,1900,1988,2003,South Village Historic District, ,3.98,3.44,0,6.5,1,1005260011,0,65,983647,204837,12a, ,103 007,10206, ,0, ,1, , ,17V1.1,0,284.4790573,4048.693151,2917350,9,0,14241,14245,18,4050,20.00333405,20.00333405,0,20.00333405,0,360.0600128 +14243,MN,580,22,102,37,3002,2,3,10013,E024,1,15,6800,1,2,1B,157 VARICK STREET,M1-6, , , , , ,HSQ, , , ,N,E7,6,0, ,VANDAM MINISTORAGE PR,17555,164791,164791,0,20540,0,0,0,144251,0,2,2,16,0,1,100,175.42,100,175.42,E,0,Y,3,5,1588500,7223400,0,0,1922,2011,0, , ,9.39,0,10,10,1,1005800022,0,37,982554,204032,12a, ,101N066,10208, ,0, ,1, , ,17V1.1,0,562.278519,18316.19835,5634900,0,0,14242,14246,82,18450,17.09600067,21.22222137,4.126220703,17.22501959,0.665594613,1412.451607 +14244,MN,572,43,102,63,4000,2,3,10011,E033,6,15,5700,1,2,3A,12 5 AVENUE,R10, , , , , , , , , ,N,D7,4,0, ,"UNITED FIFTH, LLC",2625,19545,595,18950,595,0,0,0,0,0,2,1,10,33,34,26.25,100,26,98,E,3,N,5,2,339300,3495150,0,0,1910,1986,0,Greenwich Village Historic District, ,7.45,10,0,10,1,1005720043,0,63,985211,206166,12c, ,103 019,10207, ,0, ,1, , ,17V1.1,0,266.0785993,2901.834267,3155850,8,0,14243,14247,12,2700,18.70499992,18.70499992,0,18.70499992,0,224.4599991 +14245,MN,400,39,103,32,6001,1,2,10009,E028,9,14,6600,1,3,3A,235 EAST 4 STREET,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,REAPER REALTY LLC,4808,24506,3500,21006,0,3500,0,0,0,0,2,1,6,30,32,48.08,100,48,98, ,3,N,3,2,630000,3786750,0,0,1920,2012,2012, , ,5.1,4,0,4,1,1004000039,0,32,989051,202869,12c, ,102 012,10203, ,0, ,1, , ,17V1.1,0,308.4157967,5308.857436,3156750,1,0,14244,14248,23,5175,15.8922224,15.8922224,0,15.8922224,0,365.5211153 +14246,MN,556,7501,103,42,1002,1,2,10003,L003,9,14,6200,4,3, ,130 EAST 12 STREET,C6-2A, , , , , , , , , ,N,RM,4,0,P,FIRST VILLAGE CONDO I,4770,25071,3657,21414,0,3657,0,0,0,0,2,1,7,11,12,45,106.5,0,0, ,0,N,5,5,483748,3561299,4720,4720,1905,0,0, , ,5.26,6.02,6,6.5,1,1005567501,330,42,987343,205962,12c, ,102 025,10207, ,1005560054,12/25/1986,1, , ,17V1.1,7,310.9871867,5003.620853,3077550,12,0,14245,14249,22,4950,37.67444229,37.67444229,0,37.67444229,0,828.8377304 +14247,MN,614,61,102,77,5002,2,3,10014,Q018,6,15,6100,1,2,2K,201 WEST 11 STREET,C2-6,C1-6, , , , , , , , ,Y,D8,3,0, ,201-207 WEST 11TH ASS,7800,38478,8560,29918,0,8560,0,0,0,0,2,1,6,42,50,77,107.58,70,108, ,2,Y,3,2,1372500,9750600,0,0,1920,0,0,Greenwich Village Historic District, ,4.93,3.44,2,6.5,1,1006140061,0,77,983843,207679,12a, ,103 016,10209, ,0, ,1, , ,17V1.1,0,433.5688279,8512.137458,8378100,8,0,14246,14250,37,8325,25.32666588,26.18444443,0.857778549,25.37498423,0.17138082,938.8744164 +14248,MN,438,9,103,34,3001,1,2,10009,L011,9,14,6200,1,3,4B,180 1 AVENUE,R7A, , , ,C1-5, , , , , ,N,C7,4,0,P,PAMAC REALTY CORP,2225,9913,2229,7684,0,2229,0,0,0,0,2,2,5,16,19,23.67,94,22,47, ,3,N,3,5,207000,1372500,0,0,1900,0,0, , ,4.46,4,0,4,1,1004380009,0,34,988747,204930,12c, ,102 028,10205, ,0, ,1, , ,17V1.1,0,246.8462591,2515.52496,1165500,12,0,14247,14251,12,2700,17.98900032,22.73666763,4.747667313,20.41040754,1.819158606,244.9248905 +14249,MN,367,1,103,24,2000,1,2,10009,L011,9,14,6300,1,3,4A,152 AVENUE D,R7-2,M1-2, , , , , , , , ,Y,D3,3,0,O,NYC HOUSING AUTHORITY,318450,610785,0,610785,0,0,0,0,0,0,2,8,7,743,743,422.5,722.5,170.83,90.83, ,0,Y,3,5,9314550,39330900,9314550,39330900,1950,0,0, , ,1.92,3.44,0,6.5,1,1003670001,0,24,991577,203594,12c, ,102 024,10202, ,0, ,1,1,1,17V1.1,0,2925.516558,328470.1476,30016400,12,1,14248,14252,1458,328050,6.604444504,9.947777748,3.343333244,8.157550828,0.543819015,11893.70911 +14250,MN,609,39,102,71,1000,2,3,10011,Q018,6,15,6100,1,2,3B,525 AVENUE OF THE AMER,C6-3A, , , , , , , , , ,N,K4,4,0, ,100-106 LLC,1240,4660,2500,2160,0,2500,0,0,0,0,2,1,4,3,4,20,62,20,62,E,3,N,5,2,232650,1078650,0,0,1910,0,0, , ,3.76,7.52,6,7.5,1,1006090039,0,71,985017,207886,12c, ,103 027,10209, ,0, ,1, , ,17V1.1,0,173.9437723,1428.404592,846000,8,0,14249,14253,6,1350,25.65555573,26.76255608,1.107000351,25.84005578,0.412554673,155.0403347 +14251,MN,489,12,102,47,1001,2,3,10012,L008,1,15,6800,1,2,1A,79 SULLIVAN STREET,R7-2, , , , , , , , , ,N,C7,4,0, ,79 SULLIVAN STREET AS,2500,13139,1500,11639,0,1500,0,0,0,0,2,1,7,26,28,25,100,25,85, ,3,N,5,2,391500,2124450,0,0,1900,1980,0,Sullivan-Thompson Historic District, ,5.26,3.44,0,6.5,1,1004890012,0,47,983257,203278,12a, ,101N069,10206, ,0, ,1, ,1,17V1.1,0,253.858401,2398.110804,1732950,0,1,14250,14254,11,2475,9.686666489,9.686666489,0,9.686666489,0,106.5533314 +14252,MN,594,8,102,37,1017,2,3,10013,L008,1,15,6800,1,2,1B,505 CANAL STREET,C6-2A, , , , , , , , , ,N,O5,5,0, ,ALMAVI ENTERPRISES,4725,36640,36640,0,31640,4200,800,0,0,0,2,1,6,0,12,109.08,101.83,109.08,101.83, ,0,Y,5,5,277650,2771100,0,0,1915,0,0, , ,7.75,6.02,6,6.5,1,1005940008,0,37,981814,203279,12a, ,101N063,10208,E-116,0, ,1,1,1,17V1.1,0,358.2004784,6271.197405,2493450,0,1,14251,14255,29,6525,7.988888741,8.204666138,0.215777397,7.99632934,0.039371954,231.8935509 +14253,MN,448,1,103,38,6000,1,2,10003,E028,9,14,6500,1,3,3B,104 2 AVENUE,R7A, , , ,C2-5, , , , , ,N,D9,3,0,P,"104 SECOND REALTY,",4110,35819,4000,31819,0,4000,0,0,0,0,2,1,8,30,33,51.75,87,52,74, ,3,N,3,2,321300,4570200,0,0,1920,0,0,East Village/Lower East Side Historic Di, ,8.72,4,0,4,1,1004480001,0,38,987531,204292,12c, ,102 019,10205, ,0, ,1, , ,17V1.1,0,283.7734647,4775.139122,4248900,1,0,14252,14256,22,4950,27.1590004,36.42000198,9.261001587,27.67289439,1.955608436,608.8036766 +14254,MN,377,26,103,26.02,1001,1,2,10009,L011,9,14,6700,1,3,4A,390 EAST 8 STREET,R8B, , , , , , , , , ,N,D4,3,0,P,NEIGHBORHOOD RESTORE,6455,30018,0,30018,0,0,0,0,0,0,2,1,6,36,36,66.17,97.5,66,80, ,1,N,5,2,270000,1426500,270000,1426500,1900,1988,0, , ,4.65,4,0,4,1,1003770026,0,2602,990633,202991,12c, ,102 023,10202, ,0, ,1, ,1,17V1.1,0,332.2193804,6587.836496,1156500,12,1,14253,14257,29,6525,9.236666679,10.86777782,1.631111145,9.440421466,0.503511105,273.7722225 +14255,MN,474,26,102,47,2011,2,1,10013,E055,1,15,6800,1,2,1A,90 GRAND STREET,M1-5B, , , , , , , , , ,N,O5,5,0, ,THOMAS STREET LLC,7575,37500,37500,0,30000,7500,0,0,0,0,2,1,5,0,6,75,101,73,100, ,2,N,3,2,1170000,6561450,0,0,1900,1986,2014,SoHo-Cast Iron Historic District, ,4.95,0,5,6.5,1,1004740026,0,47,983729,202211,12a, ,101N070,10206, ,0, ,1, , ,17V1.1,0,368.6204184,8299.804747,5391450,0,0,14254,14258,36,8100,14.17000008,16.13777733,1.967777252,14.22504327,0.323318987,512.1015577 +14256,MN,341,1,103,12,1006,1,1,10002,L018,7,14,7600,1,3,2B,460 GRAND STREET,R8, , , , , , , , , ,N,D6,4,0,P,SOUTH EAST G S G HDF,37446,265181,22318,242862,22318,0,0,0,0,0,2,1,26,200,201,249.64,150,78,96, ,1,N,3,0,990000,17022600,990000,17022600,1976,2009,2011, , ,7.08,6.02,0,6.5,1,1003410001,0,12,988542,200007,12c,Y,101N081,10201, ,0, ,1, , ,17V1.1,0,803.9335986,38224.20071,16032600,13,0,14255,14259,170,38250,30.13777733,41.88999939,11.75222206,36.42104802,2.805194222,6191.578163 +14257,MN,595,7509,101,39,1002,2,1,10013,L008,1,15,7700,3,1, ,456 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,RR,4,0, , ,0,142821,5598,137223,0,0,5598,0,0,0,7,1,10,0,2,0,0,0,0, ,0,N,0,5,706948,19403549,0,0,0,0,0, , ,0,6.02,6,6.5,1,1005957509,2658,39,981297,203219,12a, ,101N063,10208, ,1005950001,9/30/2016,1,1,1,17V1.1,7,674.3544449,26702.99052,18696600,0,1,14256,14260,117,26325,7.28000021,9.279999733,1.999999523,7.752383685,0.422142854,907.0288911 +14258,MN,858,53,105,74,3004,2,2,10016,E016,13,15,5200,1,5,1A,34 EAST 29 STREET,C5-2, , , , , , , , , ,N,O5,5,0,P,"34 EAST 29 HOLDING, L",2469,14094,14094,0,12094,2000,0,0,0,0,2,1,6,0,9,25,98.75,25,99,E,3,N,5,2,391500,1118700,0,0,1910,0,0, , ,5.71,10,10,10,1,1008580053,0,74,988496,210388,8d, ,104 017,10306, ,1008580053,10/3/2016,1, , ,17V1.1,0,259.0059323,2628.43166,727200,11,0,14257,14261,11,2475,36.10889053,39.31222153,3.203330994,36.40010244,0.920892913,400.4011269 +14259,MN,768,30,104,87,3000,2,3,10011,L012,10,15,5600,1,4,1A,209 WEST 18 STREET,C6-2A, , , , , , , , , ,N,L9,6,0, ,KHEDOURI EZAIR CORP.,2300,13560,13560,0,0,0,0,13560,0,0,2,1,5,0,3,25,92,25,88, ,3,N,5,2,182250,985050,0,0,1920,2003,0, , ,5.9,6.02,6,6.5,1,1007680030,0,87,984715,209420,8d, ,103 033,10304, ,0, ,1, , ,17V1.1,0,234.7444278,2309.316285,802800,7,0,14258,14262,11,2475,21.88888931,21.88888931,0,21.88888931,0,240.7777824 +14260,MN,408,28,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,324 GRAND STREET,C4-4A, , , , , , , , , ,N,D6,4,0, ,EMPIRE 326 GRAND LLC,4428,24410,9491,14919,0,3774,0,0,0,5717,2,1,7,20,22,51.45,87.13,51.4,86.9, ,3,Y,5,2,1066500,2611350,0,0,2013,0,0, , ,5.51,4,4,4,1,1004080028,0,18,986914,200609,12c, ,101N079,10204, ,1004080028,3/1/2017,1, , ,17V1.1,0,339.9330845,5835.323806,1544850,13,0,14259,14263,25,5625,36.36111069,36.36111069,0,36.36111069,0,909.0277672 +14261,MN,408,20,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,67 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C4,2,0, ,WONG & LIU ASSOCIATES,2224,9694,1000,8694,0,1000,0,0,0,0,2,1,6,21,22,25.42,87.5,25,67, ,3,N,5,2,98550,580500,0,0,1900,1980,0, , ,4.36,4,4,4,1,1004080020,0,18,987022,200639,12c, ,101N079,10204, ,0, ,1, , ,17V1.1,0,227.5078946,2229.284507,481950,13,0,14260,14264,9,2025,36.36111069,39.41110992,3.049999237,36.69999949,0.958522286,330.2999954 +14262,MN,408,21,103,18,1002,2,1,10002,E015,7,14,7400,1,3,2B,65 LUDLOW STREET,C4-4A, , , , , , , , , ,N,C7,4,0, ,LUDLOW 65 REALTY LLC,2267,8592,1994,6598,0,1994,0,0,0,0,2,2,5,16,17,27.58,85.18,27.7,72, ,3,Y,5,0,84600,886500,0,0,1935,0,0, , ,3.79,4,4,4,1,1004080021,0,18,986992,200624,12c, ,101N079,10204, ,1004080028,3/1/2017,1, , ,17V1.1,0,232.4545351,2459.761815,801900,13,0,14261,14265,12,2700,36.36111069,38.62666702,2.265556335,36.54990705,0.626166692,438.5988846 +14263,MN,144,40,101,33,3021,2,1,10013,E007,1,15,7700,1,1,3A,56 HUDSON STREET,C6-2A, , , , , ,TMU, , , ,N,O4,5,0,P,60 HUDSON OWNERS LLC,52439,802000,802000,0,799564,2436,0,0,0,0,2,1,23,0,144,194.25,329.75,194.25,329.75, ,0,Y,3,2,13095000,211096350,0,0,1930,0,0, ,WESTERN UNION BUILDING,15.29,6.02,6,6.5,1,1001440040,0,33,981938,200738,12a, ,101S035,10104, ,0, ,1, , ,17V1.1,0,981.1115429,54919.24369,198000992,14,0,14262,14266,244,54900,11.09777832,13.9622221,2.864443779,11.27787388,0.541522635,2751.801226 +14264,MN,192,1,101,33,2004,2,1,10013,E007,1,15,7700,1,1,3A,16 WALKER STREET,C6-2A, , , , , ,TMU, , , ,N,O4,5,0,P,32 SIXTH AVENUE CO LL,46040,1092665,1092665,0,1089915,2750,0,0,0,0,2,1,26,0,65,175.08,230.5,175,230, ,0,Y,3,5,9270000,163661400,0,0,1913,1986,2001, ,LONG DISTANCE BUILDING OF THE AMERI,23.73,6.02,6,6.5,1,1001920001,0,33,982965,201592,12a, ,101N045,10105, ,0, ,1,1,1,17V1.1,0,902.7179459,46654.1256,154391008,14,1,14263,14267,208,46800,9.686666489,14.07666683,4.390000343,9.780015744,0.517864371,2034.243275 +14265,MN,556,24,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,54 3 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,"HYUN, SUNGSOOK",3150,5304,2704,2600,0,2704,0,0,0,0,2,1,3,2,3,31.5,100,26,55,E,0,N,5,5,193050,813600,0,0,1901,0,0, , ,1.68,6.02,6,6.5,1,1005560024,0,42,987250,205643,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,266.8184425,3225.679401,620550,12,0,14264,14268,14,3150,37.71221924,37.71221924,0,37.71221924,0,527.9710693 +14266,MN,556,1,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,85 4 AVENUE,C6-2A, , , , , , , , , ,N,D8,3,0, ,"85 FOURTH PARTNERS,L.",26097,163665,21700,141965,0,14500,7200,0,0,0,2,1,7,159,164,199.75,169,199,160, ,1,Y,3,2,1246500,17109900,0,0,1959,1986,0, , ,6.27,6.02,6,6.5,1,1005560001,0,42,987046,205783,12c, ,102 025,10207, ,0, ,1, , ,17V1.1,0,662.68993,25598.97429,15863400,12,0,14265,14269,113,25425,37.71221924,41.89444351,4.182224274,38.21650713,0.977185684,4318.465305 +14267,MN,556,16,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,112 EAST 11 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,UD-DEV ASSOCIATES LLC,13354,41770,0,41770,0,0,0,0,0,0,2,5,5,89,89,125,106.83,125,82, ,2,N,5,2,2631150,8017200,0,0,1900,0,0, , ,3.13,6.02,6,6.5,1,1005560016,0,42,987178,205750,12c, ,102 025,10207, ,1005560015,5/5/2016,1, , ,17V1.1,0,470.804097,13735.00654,5386050,12,0,14266,14270,60,13500,37.71221924,39.31000137,1.597782135,37.78370463,0.310362482,2267.022278 +14268,MN,556,15,103,42,2000,1,2,10003,E033,9,14,6200,1,3,4B,85 EAST 10 STREET,C6-2A, , , , , , , , , ,N,C4,2,0, ,UNION SQUARE APARTMEN,10344,61612,0,61612,0,0,0,0,0,0,2,1,6,107,107,125,82.75,125,64, ,2,N,5,2,2042550,8524350,0,0,1900,1987,0, , ,5.96,6.02,6,6.5,1,1005560015,0,42,987131,205665,12c, ,102 025,10207, ,1005560015,5/5/2016,1, , ,17V1.1,0,428.3715544,11007.91531,6481800,12,0,14267,14271,50,11250,37.71221924,39.41333389,1.701114655,37.74624153,0.238156052,1887.312077 +14269,MN,879,14,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,125 EAST 23 STREET,C6-4A, , , , , , , , , ,N,O5,5,0,P,"SIDERAKIS, VICKY",2814,15470,15470,0,12950,2520,0,0,0,0,2,1,6,0,5,28.5,98.75,28.5,90,E,3,N,5,2,675000,1663650,0,0,1910,0,0, , ,5.5,10,10,10,1,1008790014,0,68,988391,208858,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,259.4624153,2968.757903,988650,11,0,14268,14272,13,2925,28.24111176,28.24111176,0,28.24111176,0,367.1344528 +14270,MN,879,13,105,68,2000,2,2,10010,E016,13,14,5300,1,5,1B,123 EAST 23 STREET,C6-4A, , , , , , , , , ,N,K1,5,0, ,123 EAST 23RD ST ASSO,2765,2765,2765,0,0,2765,0,0,0,0,2,1,1,0,1,28,98.75,28,98.75, ,3,N,5,2,218250,969750,0,0,1910,1988,0, , ,1,10,10,10,1,1008790013,0,68,988366,208872,8d, ,104 005,10307, ,0, ,1, , ,17V1.1,0,253.9353985,2688.398269,751500,11,0,14269,14273,12,2700,28.24111176,28.24111176,0,28.24111176,0,338.8933411 +14271,MN,341,70,103,12,1006,1,1,10002,L018,7,14,7600,1,3,2B,131 BROOME STREET,R8, , , , , , , , , ,N,D4,3,0,P,GRAND ST GUILD EAST H,79658,231417,6417,225000,0,0,3417,0,0,3000,2,4,26,200,201,497.58,147.83,0,0, ,0,Y,5,5,3150000,10169100,3150000,10169100,1972,2011,2011, , ,2.91,6.02,0,6.5,1,1003410070,0,12,988453,200203,12c, ,101N081,10201, ,0, ,1, , ,17V1.1,0,1680.347761,80513.2345,7019100,13,0,14270,14274,358,80550,22.61666679,32.60889053,9.99222374,27.09880035,2.275438886,9701.370525 +14272,MN,470,9,102,41,3000,2,1,10013,L006,5,15,6800,1,2,1A,365 BROOME STREET,C6-2G, , , , , ,LI, , , ,N,C7,4,0,P,CADIGGER LLC,7620,35955,4795,31160,0,4795,0,0,0,0,2,2,6,49,56,73,108.75,73,109,E,3,Y,3,2,314550,2979000,0,0,1900,2014,0, , ,4.72,6.02,6,6.5,1,1004700009,0,41,985378,201546,12c, ,101N074,10206, ,0, ,1, , ,17V1.1,0,371.1197743,8211.743121,2664450,0,0,14271,14275,36,8100,28.80888939,37.48110962,8.67222023,29.87879658,2.676314966,1075.636677 +14273,MN,742,34,104,89,2001,2,3,10011,L012,10,15,5600,1,4,1A,161 8 AVENUE,C1-6A, , , , , , , , , ,N,S3,4,0, ,J&S 49 PRINCE LLC,1950,7800,1700,6100,0,1700,0,0,0,0,2,1,4,3,4,25,78,25,74, ,3,N,3,5,438750,1091066,0,0,1920,1989,0, , ,4,4,2,4,1,1007420034,0,89,983999,209778,8d, ,103 037,10303, ,0, ,1, , ,17V1.1,0,206.4225347,2032.826259,652316,7,0,14272,14276,9,2025,15.59444427,15.59444427,0,15.59444427,0,140.3499985 +14274,MN,662,62,104,99,1020,2,3,10014,E003,10,15,5500,1,4,2B,62 PIER 62,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,175195,48000,48000,0,0,0,48000,0,0,0,2,1,1,0,1,257.83,799.75,60,799.15, ,0,N,2,5,2757150,5953050,2757150,5953050,1908,1963,2012, , ,0.27,0,2,0,1,1006620062,0,99,981331,212025,8b, ,103 054,10301, ,0, ,1,1,1,17V1.1,0,2566.933953,98385.73663,3195900,7,1,14273,14277,385,86625,0,18.16444397,18.16444397,4.969799629,5.403039739,1913.372857 +14275,MN,570,7501,102,61,1001,2,2,10003,L003,6,15,5700,3,2, ,55 5 AVENUE,C6-4,C6-1, , , , , , , , ,Y,RC,5,0, ,YESHIVA UNIVERSITY,18325,262814,262814,0,252111,6155,0,4548,0,0,2,1,19,0,20,131.5,150,0,0, ,0,Y,0,5,5489999,38548975,2980446,19812964,1912,0,0, , ,14.34,10,10,10,1,1005707501,927,61,985896,206959,12c, ,103 022,10207, ,1005700001,4/20/1996,1, , ,17V1.1,7,590.4169528,20294.53794,33059000,8,0,14274,14278,88,19800,33.2820015,34.56933212,1.287330627,33.33117815,0.218385596,2933.143677 +14276,MN,530,38,102,55.02,1001,2,1,10012,L009,9,15,5700,1,2,2A,334 BOWERY,C6-1, , , , , , , , , ,N,D7,4,0,P,INFINITE LLC,3007,22448,2806,19642,0,2806,0,0,0,0,2,1,8,14,15,35.17,96.33,35,91, ,3,Y,5,2,150750,1573650,0,0,1909,2004,0,NoHo Historic District Extension, ,7.47,3.44,6,6.5,1,1005300038,0,5502,986385,203799,12c, ,103 010,10207, ,0, ,1, , ,17V1.1,0,262.9737923,3246.790899,1422900,9,0,14275,14279,15,3375,43.14099884,43.2519989,0.111000061,43.14839884,0.02768828,647.2259827 +14277,MN,344,7501,103,22.01,2001,1,1,10002,L018,7,14,7600,2,3, ,50 CLINTON STREET,R7A, , , ,C1-5, , , , , ,N,RM,4,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,7,37,38,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,4,0,4,1,1003447501,2587,2201,0,0,12c, ,102 005,10201, ,1003440141,2/19/2017,1, , ,17V1.1,7,405.7415017,10296.17894,0,1,0,14276,14280,46,10350,23.20000076,27.83777809,4.637777328,23.59946927,1.108227869,1085.575586 +14278,MN,766,47,104,81,2001,2,3,10011,L012,10,15,5600,1,4,1A,116 7 AVENUE,C6-3A, , , , , , , , , ,N,C7,4,0, ,717 SUBSIDIARY LLC,4184,10082,3000,7082,0,3000,0,0,0,0,2,3,4,7,9,52.96,79,53,79, ,3,N,3,2,645363,2049076,0,0,1910,1988,0, , ,2.41,7.52,6,7.5,1,1007660047,0,81,984629,209039,8d, ,103 033,10304, ,1007660047,2/27/2017,1, , ,17V1.1,0,276.5049284,4615.733474,1403710,7,0,14277,14281,21,4725,21.88888931,26.57999992,4.691110611,22.32687868,1.350273877,468.8644524 +14279,MN,914,59,106,70,1000,2,2,10016,L007,17,14,5800,1,6,2A,501 3 AVENUE,C1-9, , , , , , , , , ,N,H9,5,0, ,EXRP THIRD LLC,5604,19290,7154,0,0,7154,0,0,0,0,2,2,5,24,29,69.71,81.08,69.71,76, ,3,N,3,2,1507500,2700000,0,0,1950,0,0, , ,3.44,10,2,10,1,1009140059,0,70,990348,210850,8d, ,104 021,10308, ,1009140059,8/4/2016,1, , ,17V1.1,0,310.6574066,5939.869198,1192500,10,0,14278,14282,25,5625,22.00200081,26.86466599,4.862665176,22.40678291,1.122980418,560.1695728 +14280,MN,524,66,102,55.01,3000,2,1,10012,L009,6,15,5700,1,2,2A,100 BLEECKER STREET,C1-7, , , , , , , , , ,N,H8,8,0,X,NEW YORK UNIVERSITY,188029,518647,16387,0,3587,0,0,0,0,12800,2,3,30,0,1,377,478,71,110,G,0,Y,3,5,14760000,35572500,14760000,35572500,1967,2015,2016, ,UNIVERSITY VILLAGE NOW CALLED SILVE,2.76,6.02,2,6.5,1,1005240066,0,5501,984817,204067,12c, ,103 008,10206,R-218,1005240066,7/29/2016,1, , ,17V1.1,0,1737.35583,184897.447,20812500,9,0,14279,14283,824,185400,27.68777847,38.21444321,10.52666473,33.04287574,1.376483354,27227.32961 +14281,MN,77,15,101,15.02,1004,2,1,10038,E006,1,15,7700,1,1,1B,130 WILLIAM STREET,C6-4, , , , , ,LM, , , ,N,O6,5,0,P,LIGHTSTONE ACQUISITIO,17384,57000,57000,0,50000,7000,0,0,0,0,2,4,7,1,15,74.1,159.35,74,164, ,3,Y,3,2,3965850,4415850,0,0,1918,2015,1986, , ,3.28,10,10,10,1,1000770015,0,1502,982489,197595,12b, ,101S012,10102, ,1000770015,8/19/2016,1, , ,17V1.1,0,656.1303686,18202.4536,450000,4,0,14280,14284,81,18225,25.46999931,30.04111099,4.571111679,25.63566467,0.709731359,2076.488838 +14282,MN,292,16,103,16,3002,2,1,10002,L006,5,14,7400,1,3,1A,86 CANAL STREET,C6-1G, , , , , , , , , ,N,D7,4,0, ,88 CANAL REALTY INC.,7617,73514,23042,26664,691,15181,0,7170,0,0,2,1,12,32,39,125.75,75,125,75, ,3,Y,3,0,2049750,11720250,0,0,2012,2008,0, , ,9.65,3.44,6,6.5,1,1002920016,0,16,985974,199876,12d, ,101S030,10107, ,1002920016,10/20/2016,1, , ,17V1.1,0,424.1059223,8384.528342,9670500,16,0,14281,14285,39,8775,39.91899872,44.97444534,5.055446625,42.27796848,1.593076536,1648.840771 +14283,MN,52,7501,101,13,1001,2,1,10006,E010,1,15,7700,1,1, ,112 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, ,"BALDWIN REALTY, AGENT",6100,40089,14016,26073,0,14016,0,0,0,0,2,1,5,13,14,61,110,0,0, ,0,Y,0,5,485550,3286350,0,0,1900,0,0, , ,6.57,10,15,15,1,1000527501,947,13,980893,197789,12b, ,101S010,10101, ,1000520016,12/24/1996,1, , ,17V1.1,7,379.9676556,7313.724344,2800800,3,0,14282,14286,32,7200,17.55500031,21.17333412,3.618333817,17.74309057,0.74420486,567.7788982 +14284,MN,52,7502,101,13,1001,2,1,10006,E010,1,15,7700,1,1, ,114 LIBERTY STREET,C5-5, , , , , ,LM, , , ,N,RX,4,0, , ,6517,64510,8417,56093,0,4572,0,3845,0,0,2,1,11,12,14,45,92,0,0, ,0,Y,0,5,900448,7419151,4720,13737,1913,0,0, , ,9.9,10,15,15,1,1000527502,1034,13,980847,197841,12b, ,11S 010,10101, ,1000520025,12/2/1998,1, , ,17V1.1,7,394.2877986,7724.710552,6518700,3,0,14283,14287,34,7650,17.44000053,20.00333405,2.563333511,17.66142189,0.462528818,600.4883442 +14285,MN,141,1,101,39,4010,2,1,10013,E007,1,15,7700,1,1,3A,126 READE STREET,C6-2A, , , , , ,TMU, , , ,N,O5,5,0,P,GUN SOO YOUN,3430,19200,10200,9000,7000,3200,0,0,0,0,2,1,6,4,16,66.62,71.44,67,71, ,3,Y,3,2,278100,1481400,0,0,1915,1987,0,Tribeca West Historic District, ,5.6,6.02,6,6.5,1,1001410001,0,39,981647,200304,12a, ,101S016,10104, ,0, ,1, , ,17V1.1,0,259.3084084,3777.861849,1203300,14,0,14284,14288,17,3825,16.8029995,16.8029995,0,16.8029995,0,285.6509914 +14286,MN,461,9,103,38,2000,1,2,10003,E028,9,14,6500,1,3,3B,202 EAST 6 STREET,C6-1,R8B, , , , , , , , ,Y,C7,4,0,P,202 EAST 6TH STREET L,3946,14075,2346,11729,0,2346,0,0,0,0,2,1,6,16,19,44.92,97,45,85, ,2,Y,5,2,308250,1906650,0,0,1930,1988,0, , ,3.57,3.44,6,6.5,1,1004610009,0,38,986892,204514,12c, ,102 018,10205, ,0, ,1, , ,17V1.1,0,292.0877012,3501.766001,1598400,1,0,14285,14289,16,3600,36.55199814,43.61888886,7.066890717,37.58044291,2.195887671,601.2870865 +14287,MN,208,21,102,45,1011,2,1,10013,E055,5,15,6800,1,2,1A,245 CANAL STREET,M1-5B, , , , , , , , , ,N,M9,8,0,P,CHINA BUDDHIST ASSOCI,3612,18060,7224,10836,0,0,0,0,0,7224,2,1,5,0,1,37.67,108.83,38,109, ,3,Y,5,2,413100,2597850,413100,2597850,1907,1990,0, , ,5,0,5,6.5,1,1002080021,0,45,984223,201041,12c, ,101N047,10105, ,0, ,1, , ,17V1.1,0,286.9414694,3616.47997,2184750,0,0,14286,14290,15,3375,14.81400013,14.81400013,0,14.81400013,0,222.2100019 +14288,MN,627,5,102,79,4003,2,3,10014,L005,6,15,6100,1,2,3B,831 GREENWICH STREET,M1-5,R6, , , , , , , , ,Y,O5,5,0, ,THE GERALD SUSSMAN &,9600,47800,47800,0,38240,9560,0,0,0,0,2,1,5,0,5,100,96,100,96, ,3,N,3,2,900000,11961450,0,0,2005,0,0,Gansevoort Market Historic District, ,4.98,0,5,6.5,1,1006270005,0,79,982535,208577,8b, ,103 035,10210, ,0, ,1, , ,17V1.1,0,398.0106105,9885.000376,11061500,8,0,14287,14291,49,11025,14.72666645,14.72666645,0,14.72666645,0,721.6066561 +14289,MN,776,1,105,95,2003,2,3,10001,E001,10,15,5200,1,5,1H,322 8 AVENUE,C6-2A, , , , , , , , , ,N,O4,5,0,P,"322 PARTNERS,",9605,173491,173491,0,166191,7300,0,0,0,0,2,1,21,0,42,71.33,125,71,125, ,3,Y,3,2,2259000,15507000,0,0,1925,1985,0, , ,18.06,6.02,6,6.5,1,1007760001,0,95,985184,211505,8d, ,105S010,10304, ,0, ,1, , ,17V1.1,0,457.0671233,10175.00916,13248000,2,0,14288,14292,45,10125,24.48111153,26.72733307,2.246221542,26.60760045,0.449605823,1197.34202 +14290,MN,779,36,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,342 7 AVENUE,M1-6, , , , , , , , , ,N,O5,5,0, ,HARDWELL ACQUISITION,3760,15040,15040,0,12040,3000,0,0,0,0,2,1,4,0,7,58.75,64,64,58.75, ,3,N,3,2,315000,2809800,0,0,1928,0,0, , ,4,0,10,10,1,1007790036,0,95,986173,211831,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,259.4766563,4205.20693,2494800,6,0,14289,14293,18,4050,31.05999947,31.05999947,0,31.05999947,0,559.0799904 +14291,MN,886,87,105,72,3000,2,2,10016,L007,14,14,5300,1,5,1A,459 PARK AVENUE SOUTH,C6-4A, , , , , , , , , ,N,C7,4,0,P,459 PARK LLC,1552,4780,1450,3330,0,1450,0,0,0,0,2,1,4,9,10,24.67,62.83,24.67,45, ,0,N,3,2,53947,383202,0,0,1910,0,0, , ,3.08,10,10,10,1,1008860087,0,72,989082,210694,8d, ,104 019,10307, ,0, ,1, , ,17V1.1,0,188.2412169,1816.690988,329255,10,0,14290,14294,8,1800,33.23199844,42.46222305,9.230224609,38.33980465,4.01877412,306.7184372 +14292,MN,809,1,105,101,1001,2,3,10001,L024,14,15,5200,1,5,1H,421 7 AVENUE,C6-6, , , , , ,MID, , , ,N,O6,5,0, ,"421 SEVENTH AVENUE,",5446,67114,67114,0,58614,8500,0,0,0,0,2,1,14,0,70,39.04,100,39,100, ,3,Y,3,2,3192750,14473350,0,0,1926,2015,1980, , ,12.32,10,15,15,1,1008090001,0,101,986831,212631,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,371.1660645,5861.409776,11280600,6,0,14291,14295,26,5850,39.85889053,41.24700165,1.388111115,41.17877946,0.27418268,1070.648266 +14293,MN,127,1,101,21,2009,2,1,10007,L010,1,15,7700,1,1,1B,30 WEST BROADWAY,C6-4, , , , , ,LM, , , ,N,W5,8,0,C,CITY UNIVERSITY OF NE,28981,331000,331000,0,0,0,0,0,0,331000,2,1,15,0,1,158.75,208.75,159,175,E,1,Y,1,2,7825050,65325150,7825050,65325150,2010,2010,1998, , ,11.42,10,10,10,1,1001270001,0,21,981153,199325,12b, ,101S014,10104, ,0, ,1, ,1,17V1.1,0,699.3979623,29609.68555,57500100,3,1,14292,14296,132,29700,9.485555649,15.19333267,5.707777023,9.594166763,0.672295133,1266.430013 +14294,MN,11,17,101,9,1003,2,1,10004,L015,1,15,7700,1,1, ,74 BROAD STREET,C5-5, , , , , ,LM, , , ,N,O5,5,0, ,SKS BROAD STREET LLC,3287,21216,21216,0,18316,2900,0,0,0,0,2,1,6,0,5,33.79,100.6,33,100, ,1,Y,3,2,639000,1930950,0,0,1910,1973,0, , ,6.45,10,15,15,1,1000110017,0,9,980971,195998,12b, ,101S001,10101, ,0, ,1, ,1,17V1.1,0,274.6992982,3574.939279,1291950,17,1,14293,14297,14,3150,8.729999542,9.114999771,0.385000229,9.066904545,0.119216774,126.9366636 +14295,MN,250,1,103,8,5002,2,1,10002,E009,5,14,7800,1,3,1A,220 SOUTH STREET,M1-6, , , , , , , , , ,N,E7,6,0,P,220 SOUTH STREET BUIL,67870,274752,274752,0,0,0,0,264752,0,10000,2,1,6,0,2,427.33,146.17,410,145.17, ,0,Y,3,5,5955750,14918850,0,0,1927,1988,2000, , ,4.05,0,10,10,1,1002500001,0,8,985617,197822,12d, ,101S028,10106, ,0, ,1,1,1,17V1.1,0,1247.708299,68863.46723,8963100,16,1,14294,14298,307,69075,4.693999767,9.258555412,4.564555645,5.594694026,1.321563719,1717.571066 +14296,MN,250,41,103,8,5002,2,1,10002,E009,5,14,7800,1,3,1A,203 SOUTH STREET,M1-6, , , , , , , , , ,N,G7,10,0, ,220 SOUTH STREET LAND,810,0,0,0,0,0,0,0,0,0,7,1,0,0,0,39.19,20.3,0,0, ,0,Y,3,5,90900,90900,0,0,0,0,0, , ,0,0,10,10,1,1002500041,0,8,985414,197715,12d, ,101S028,10106, ,0, ,1,1,1,17V1.1,0,125.931978,888.867379,0,16,1,14295,14299,4,900,4.809000015,5.498666763,0.689666748,5.046388984,0.26646575,20.18555593 +14297,MN,253,1,103,8,4000,2,1,10038,E009,5,14,7800,1,3,1A,2 MONROE STREET,R7-2, , , ,C1-5, , , , , ,N,D6,4,0, ,KVI MEZZ CORP.,216905,1396625,33000,1363625,0,33000,0,0,0,0,2,4,12,1590,1607,376.58,635.58,365,265, ,0,Y,5,5,10755450,26669700,0,0,1935,2003,2010, , ,6.44,3.44,0,6.5,1,1002530001,0,8,985518,198288,12d, ,101S028,10106, ,0, ,1,1,1,17V1.1,0,1947.095312,218530.3316,15914300,16,1,14296,14300,972,218700,7.881000042,22.72333336,14.84233332,10.13123905,2.546719992,9847.564359 +14298,MN,784,77,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,494 8 AVENUE,M1-6, , , , , ,GC, , , ,N,O4,5,0,P,494 EIGHTH AVENUE LLC,4837,111274,111274,0,106441,4833,0,0,0,0,2,1,23,0,42,48.33,100,48.33,100, ,0,Y,3,2,963000,12129750,0,0,1928,1965,0, , ,23,0,10,10,1,1007840077,0,109,986255,213468,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,302.1692714,5062.999636,11166800,6,0,14297,14301,20,4500,34.68444443,34.98622131,0.301776886,34.69953327,0.065770747,693.9906654 +14299,MN,780,19,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,225 WEST 30 STREET,M1-5, , , , , , , , , ,N,G1,10,0, ,"NEW GARDEN GARAGE,",30957,245542,245542,0,0,6725,238817,0,0,0,2,1,6,0,5,146,197.5,168,198, ,3,Y,4,2,3915000,16514550,0,0,1957,0,0, , ,7.93,0,5,6.5,1,1007800019,0,101,986077,212260,8d, ,105S021,10304,E-137,0, ,1, , ,17V1.1,0,744.8720315,31994.52102,12599600,6,0,14298,14302,141,31725,31.09600067,35.60666656,4.510665894,31.21583828,0.576928748,4401.433197 +14300,MN,385,49,103,22.02,1001,1,2,10009,E028,9,14,7600,1,3,3A,242 EAST 2 STREET,R8B, , , , , , , , , ,N,D7,4,0,P,DIVERSITY HOUSES HSG,7863,34821,6819,28002,0,0,0,0,0,6819,2,1,7,24,27,74,105.92,74.01,103, ,0,N,5,2,742500,1014696,616275,842198,2005,0,0, , ,4.43,4,0,4,1,1003850049,0,2202,989299,202166,12c, ,102 013,10203, ,1003850049,12/21/2016,1, , ,17V1.1,0,360.8371749,7799.72183,272196,1,0,14299,14303,35,7875,14.97222233,18.11666679,3.144444466,15.09721598,0.539899452,528.4025593 +14301,MN,16,120,101,317.04,1000,2,1,10281,E010,1,15,8900,1,1, ,200 LIBERTY STREET,BPC, , , , , ,BPC, , , ,N,O4,5,0,X,WFP TOWER A CO. G.P.,94530,1501878,1501878,0,1395264,44696,60918,1000,0,0,2,1,40,0,1,468,213,112,112, ,1,Y,5,2,67050000,165881250,67050000,165881250,1986,2015,0, , ,15.89,0,0,0,1,1000160120,0,31704,979937,198184,12b, ,101S090,10101, ,0, ,1,1,1,17V1.1,0,1350.599928,98603.22488,98831200,15,1,14300,14304,439,98775,10.31000042,16.01444435,5.704443932,13.15355126,0.704936721,5774.409004 +14302,MN,222,7503,101,39,1013,2,1,10013,L008,1,15,7700,3,1, ,443 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,0,171577,0,171577,0,0,0,0,0,0,7,1,8,53,53,0,0,0,0, ,0,N,0,5,2513238,39773701,0,0,0,0,0, , ,0,6.02,6,6.5,1,1002227503,2691,39,981721,202707,12a, ,101N040,10105, ,1002220001,7/8/2016,1, ,1,17V1.1,7,766.3582891,36618.70711,37260500,0,1,14301,14305,162,36450,11.85000038,13.3633337,1.513333321,12.58710587,0.123023646,2039.111152 +14303,MN,174,37,101,33,1005,2,1,10013,L001,1,15,7700,1,1,3A,349 BROADWAY,C6-4A,C6-2A, , , , , , , , ,Y,O6,5,0,P,"DALIA, MARLA LESLEYTR",4755,42000,42000,0,38000,4000,0,0,0,0,2,1,9,0,14,29.58,159,30,159, ,0,Y,3,5,675000,4498650,0,0,1915,1987,2001, , ,8.83,10,10,10,1,1001740037,0,33,983056,200547,12a, ,101S033,10105, ,0, ,1, , ,17V1.1,0,399.2257295,5172.37639,3823650,14,0,14302,14306,24,5400,21.5755558,21.5755558,0,21.5755558,0,517.8133392 +14304,MN,214,7504,101,39,4001,2,1,10013,L008,1,15,7700,3,1, ,407 GREENWICH STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,6,12,13,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,6.02,6,6.5,1,1002147504,2764,39,0,0,12a, ,101N039,10105, ,1002140006,1/27/2017,1, , ,17V1.1,7,414.125368,8561.411609,0,14,1,14303,14307,40,9000,12.24666691,12.98222256,0.735555649,12.30837486,0.116401285,492.3349943 +14305,MN,196,22,101,31,1001,2,1,10013,L001,5,15,7700,1,1,3B,92 WALKER STREET,M1-5, , , , , , , , , ,N,O6,5,0, ,110 REALTY ASSOCIATES,4091,36894,36894,0,32894,4000,0,0,0,0,2,1,8,0,15,48.5,83,49,83, ,2,Y,3,2,675000,4090500,0,0,1908,1989,0, , ,9.02,0,5,6.5,1,1001960022,0,31,983956,200923,12a,Y,101N047,10105, ,0, ,1, , ,17V1.1,0,278.9366259,4662.409226,3415500,14,0,14304,14308,20,4500,14.09666634,15.06533337,0.96866703,14.41629977,0.1627019,288.3259954 +14306,MN,799,60,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,136 WEST 24 STREET,M1-6, , , , , , , , , ,N,D0,3,0, ,136 LOFT CORP,4839,22169,4000,18169,0,0,0,0,0,4000,2,1,5,7,8,49,98.75,49,99, ,3,N,5,2,169855,1332540,14570,14570,1898,0,0, , ,4.58,0,10,10,1,1007990060,0,91,985881,210364,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,299.2196358,4987.709422,1162690,2,0,14305,14309,23,5175,29.26199913,36.85333252,7.591333389,29.65863692,1.565316146,682.1486492 +14307,MN,563,7503,102,61,2000,2,2,10003,L003,6,15,5700,3,2, ,809 BROADWAY,C6-1, , , , , , , , , ,N,RC,5,0, , ,0,22650,22650,0,16675,5247,0,0,0,728,7,1,5,0,3,0,0,0,0, ,0,N,0,5,363601,1098181,0,0,0,0,0, , ,0,3.44,6,6.5,1,1005637503,2637,61,986603,206290,12c, ,103 025,10207, ,1005630035,7/8/2016,1, , ,17V1.1,7,310.9264811,5370.402368,734580,8,0,14306,14310,24,5400,37.07600021,37.07600021,0,37.07600021,0,889.8240051 +14308,MN,645,7501,102,79,1008,2,3,10014,L005,6,15,6100,3,2, ,837 WASHINGTON STREET,M1-5, , , , , , , , , ,N,RC,5,0, , ,0,49401,49401,0,33967,15434,0,0,0,0,7,1,6,0,3,0,0,0,0, ,0,N,0,5,2979451,15211800,0,0,0,0,0, , ,0,0,5,6.5,1,1006457501,2559,79,982212,209108,8b, ,103 039,10210, ,1006450025,10/28/2016,1, , ,17V1.1,7,415.5503693,10783.77885,12232300,8,1,14307,14311,47,10575,11.63800049,12.93755531,1.299554825,11.70448273,0.264269392,550.1106882 +14309,MN,820,7505,105,54,1003,2,3,10011,E014,13,15,5700,1,5, ,620 AVENUE OF THE AMER,C6-4A,C6-2A, , , , , , , , ,Y,RC,5,0, , ,88940,684465,684465,0,192374,492091,0,0,0,0,2,4,7,0,5,184,510,180,502, ,1,Y,0,5,5849999,87369299,0,0,1900,2012,0, , ,7.7,10,10,10,1,1008207505,2681,54,985939,208792,8d, ,102 041,10306, ,1008200001,7/8/2016,1, , ,17V1.1,7,1432.374221,97176.11382,81519296,7,0,14308,14312,432,97200,32.91555405,36.57110977,3.655555725,35.72994321,0.368202031,15435.33547 +14310,MN,174,7505,101,33,1005,2,1,10013,L001,1,15,7700,3,1, ,67 FRANKLIN STREET,C6-4A,C6-2A, , , , , , , , ,Y,RM,4,0, , ,0,55220,8412,46808,0,0,0,0,0,8412,7,1,9,13,15,0,0,0,0, ,2,N,0,5,1323001,5968351,0,0,0,0,0, , ,0,10,10,10,1,1001747505,2706,33,983143,200682,12a, ,101S033,10105, ,1001740031,7/8/2016,1, , ,17V1.1,7,456.1696977,9747.393798,4645350,14,0,14309,14313,43,9675,21.5755558,29.20666504,7.631109238,22.19914747,1.960203223,954.5633411 +14311,MN,90,7503,101,15.01,1006,2,1,10038,E006,1,15,7700, ,1, ,5 BEEKMAN STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,0,102536,6030,96506,0,6030,0,0,0,0,7,4,46,67,69,0,0,0,0, ,3,N,3,5,2069998,49116630,0,0,0,0,0, , ,0,10,15,15,1,1000907503,2679,1501,982320,198366,12b, ,101S019,10103, ,1000900014,9/12/2016,1, , ,17V1.1,7,613.1556777,21131.61378,47046600,0,0,14310,14314,94,21150,37.61700058,40.18222427,2.565223694,37.87538585,0.574010105,3560.28627 +14312,MN,836,26,105,76,1000,2,4,10001,E065,14,15,5200,1,5,2B,7 WEST 34 STREET,C6-4.5,C5-3, , , , ,MID, , , ,Y,O6,5,0,P,VORNADO AIR RIGHTS LL,34098,431082,431082,0,408082,23000,0,0,0,0,2,1,12,0,203,150,197.5,150,197.5, ,2,Y,5,2,27000000,44857350,0,0,1910,1990,2013, , ,12.64,10,12,12,1,1008360026,0,76,988358,212216,8d, ,104 027,10306, ,1008360026,7/11/2016,1, , ,17V1.1,0,847.4278917,36671.96591,17857400,10,0,14311,14315,157,35325,49.62900162,57.47333145,7.844329834,49.73908153,0.858262936,7809.035801 +14313,MN,281,21,103,8,1000,2,1,10002,E009,5,14,7800,1,3,1A,46 EAST BROADWAY,C6-1G, , , , , , , , , ,N,I5,8,0,P,LOWERE EAST SIDE SERV,3453,15882,15882,0,2269,0,0,0,0,13613,2,2,7,0,1,24.92,238.67,24.92,65, ,0,Y,5,5,341100,1306350,341100,1306350,1900,1987,0, , ,4.6,3.44,6,6.5,1,1002810021,0,8,985392,199362,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,336.8595598,3534.531758,965250,16,0,14312,14316,14,3150,35.10200119,40.07777786,4.975776672,35.45741381,1.281458423,496.4037933 +14314,MN,243,50,103,2.02,2003,1,1,10002,E015,7,14,8000,1,3,1B,322 F D R DRIVE,R7-2, , , , , , , , , ,N,I1,8,0,P,LOWER EAST SIDE ETC,10500,42121,42121,0,0,0,0,0,0,42121,2,1,8,0,1,150,70,123,66,E,1,N,3,2,490500,1640700,490500,1640700,1916,1927,0, , ,4.01,3.44,0,6.5,1,1002430050,0,202,988988,198315,12d, ,101N059,10106, ,0, ,1,1,1,17V1.1,0,448.58953,11278.86136,1150200,16,1,14313,14317,49,11025,8.385000229,13.98333263,5.598332405,9.211349371,1.656474507,451.3561192 +14315,MN,780,75,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,412 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0,P,A.M.A.A. REALTY CORP,2917,11150,11150,0,2683,5683,0,0,0,2784,2,1,7,0,7,25,100,25,100, ,3,Y,5,2,229050,2113200,0,0,1930,2001,0, , ,3.82,9,6,9,1,1007800075,0,101,985722,212501,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,267.2398341,3217.708456,1884150,6,0,14314,14318,15,3375,30.88222122,31.11955643,0.237335205,31.08331909,0.054064276,466.2497864 +14316,MN,283,50,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,120 EAST BROADWAY,C6-2, , , , , , , , , ,N,O5,5,0, ,120 E BWY INC,2264,13000,13000,0,9000,4000,0,0,0,0,2,1,6,0,6,55.67,40.5,51,41, ,2,Y,3,2,154800,1358550,0,0,1900,1987,0, , ,5.74,6.02,6,6.5,1,1002830050,0,6,986388,199419,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,202.0871026,2501.5674,1203750,16,0,14315,14319,11,2475,35.5909996,35.5909996,0,35.5909996,0,391.5009956 +14317,MN,833,45,105,76,1005,2,4,10001,L024,14,15,5200,1,5,1A,314 5 AVENUE,C5-2, , , , , , , , , ,N,O5,5,0, ,"5TH AVE GATEWAY LAND,",4938,25991,25991,0,7722,3635,0,0,0,0,2,2,6,0,32,49.38,100,25,100,E,3,N,3,2,448200,2398050,0,0,1910,0,0, , ,5.26,10,10,10,1,1008330045,0,76,988149,211476,8d, ,104 016,10306, ,1008330045,11/9/2016,1, , ,17V1.1,0,301.2200794,5020.944466,1949850,10,0,14316,14320,22,4950,41.76111221,43.65999985,1.898887634,41.99848574,0.599904745,923.9666862 +14318,MN,823,7506,105,58,1009,2,3,10010,E014,13,15,5700,1,5, ,162 5 AVENUE,C6-4M,C6-4A, , , , , , , , ,Y,RC,5,0, , ,0,114503,114503,0,92308,13084,0,0,0,9111,7,1,12,0,13,0,0,0,0, ,0,N,0,5,1800000,17879852,0,0,0,0,0, , ,0,10,10,10,1,1008237506,2711,58,0,0,8d, ,102 042,10306, ,1008230037,12/9/2016,1, , ,17V1.1,7,494.4738251,10486.24022,16079900,7,0,14317,14321,48,10800,38.59666824,38.59666824,0,38.59666824,0,1852.640076 +14319,MN,16,7510,101,317.04,4000,2,1,10280,E010,1,15,8900,1,1, ,99 BATTERY PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,LIBERTY VIEW CONDOMIN,24167,251929,7464,244465,6885,0,0,579,0,0,2,1,28,293,294,199,143.18,0,0, ,0,Y,5,5,5982744,44122452,5982744,44122452,1988,0,0, , ,10.42,0,0,0,1,1000167510,779,31704,979649,197083,12b, ,101S089,10101, ,1000160030,11/20/1991,1,1,1,17V1.1,7,658.7952759,25134.14328,38139700,15,1,14318,14322,112,25200,9.694444656,12.19577789,2.501333237,10.96388875,0.454352327,1227.95554 +14320,MN,827,7501,105,58,1004,2,2,10010,E001,13,15,5700,1,5, ,212 5 AVENUE,C5-2, , , , , , , , , ,N,RM,4,0, , ,0,144899,4620,140279,0,4620,0,0,0,0,7,1,24,47,48,0,0,0,0, ,0,N,0,5,3001522,16742137,0,0,0,0,0, , ,0,10,10,10,1,1008277501,2714,58,0,0,8d, ,104 002,10306, ,1008270044,11/26/2016,1, , ,17V1.1,7,422.5216851,8842.758816,13740600,11,0,14319,14323,39,8775,40.6475563,40.94300079,0.295444489,40.93104064,0.053337381,1596.310585 +14321,MN,417,76,103,30.01,1002,1,1,10002,L018,7,14,6600,1,3,2A,196 ALLEN STREET,C4-4A,C6-2A, , , , , , , , ,Y,K1,5,0,P,"ALLEN/ORCHARD,",1956,1956,1956,0,0,1956,0,0,0,0,2,2,1,0,1,75,29,75,29, ,3,Y,6,0,263700,1074600,0,0,1900,2005,0, , ,1,4,4,4,1,1004170076,0,3001,987421,202462,12c, ,102 003,10204, ,1004170076,2/16/2017,1, , ,17V1.1,0,205.2536172,2038.496569,810900,1,0,14320,14324,9,2025,33.19499969,34.06944275,0.874443054,33.29216003,0.274810939,299.6294403 +14322,MN,142,100,101,21,2003,2,1,10007,L010,1,15,7700,1,1, ,111 MURRAY STREET,C6-4, , , , , , , , , ,N,D8,3,0,P,HENRY V MURRAY SENIOR,31029,403205,2887,400318,0,2887,0,0,0,0,2,1,62,157,158,225,172,60,60, ,1,Y,3,2,13829940,18329940,0,0,2016,0,0, , ,12.99,10,10,10,1,1001420100,0,21,980759,199919,12b,Y,101S037,10104, ,0, ,1,1,1,17V1.1,0,781.0936898,32804.44141,4500000,3,1,14321,14325,146,32850,8.302222252,10.53999996,2.23777771,8.493080701,0.56524566,1239.989782 +14323,MN,16,150,101,317.03,1001,2,1,10281,E010,1,15,8900,1,1, ,250 VESEY STREET,BPC, , , , , ,BPC, , , ,N,O4,5,0,X,WFP TOWER D CO LP,103028,2084079,2084079,0,1734387,78736,174577,0,0,96379,2,1,34,0,1,343.37,293.71,125,125, ,1,Y,3,2,46350000,213494850,46350000,213494850,1986,0,0, , ,20.23,0,0,0,1,1000160150,0,31703,979847,199418,12b, ,101S092,10101, ,0, ,1,1, ,17V1.1,0,1291.312095,102340.0361,167144992,3,1,14322,14326,454,102150,12.12333298,14.16666698,2.043334007,13.02870897,0.309355465,5915.033872 +14324,MN,190,38,101,33,3013,2,1,10013,E007,1,15,7700,1,1,3B,10 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,D4,3,0, ,BEACH LOFTS LTD,2039,11834,3139,8695,0,0,0,800,0,2339,2,1,6,5,6,27.08,86.83,27,87,E,2,Y,5,2,238151,638428,21091,21091,1915,1988,0, , ,5.8,6.02,6,6.5,1,1001900038,0,33,982507,201643,12a, ,101N041,10105, ,0, ,1, ,1,17V1.1,0,224.6875111,2173.217252,400277,14,1,14323,14327,9,2025,9.793333054,11.35999966,1.566666603,9.967407121,0.492355813,89.70666409 +14325,MN,126,27,101,21,1006,2,1,10007,L010,1,15,7700,1,1, ,120 CHURCH STREET,C6-4, , , , , ,LM, , , ,N,D5,3,0,P,50 MURRAY STREET ACQU,21826,620552,82032,538520,33000,24832,24200,0,0,0,2,1,21,389,394,286.79,165.15,286,165, ,3,Y,3,2,4545000,77311350,0,0,1964,2000,0, , ,28.43,10,10,10,1,1001260027,0,21,981679,199288,12b, ,101S017,10104, ,1001260027,3/14/2003,1, , ,17V1.1,0,960.7782112,36126.236,72766400,3,0,14324,14328,160,36000,22.58777809,30.37111092,7.783332825,24.27075861,0.966866755,3883.321377 +14326,MN,16,7505,101,317.04,2003,2,1,10280,E010,1,15,8900,1,1, ,380 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,LIBERTY TERRACE CONDO,23910,203837,1177,202660,1177,0,0,0,0,0,2,1,26,246,247,160,149.63,0,0, ,0,Y,5,5,6131700,35374958,6131700,35374958,1987,0,0, , ,8.53,0,0,0,1,1000167505,371,31704,979243,197613,12b, ,100 000,10101, ,1000160065,1/7/1987,1,1,1,17V1.1,7,679.5051013,26542.14319,29243300,15,1,14325,14329,119,26775,10.43777752,12.93888855,2.501111031,12.67595724,0.578814839,1508.438911 +14327,MN,16,7501,101,317.04,2000,2,1,10280,E010,1,15,8900,1,1, ,377 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,LIBERTY HOUSE CONDOMI,16951,179174,1092,177488,0,1092,0,0,0,0,2,1,25,238,239,133,122.44,0,0, ,0,Y,5,5,5089065,30060466,5089065,30060466,1985,0,0, , ,10.57,0,0,0,1,1000167501,308,31704,979290,197895,12b, ,101S090,10101, ,1000160090,12/25/1986,1,1,1,17V1.1,7,523.8460991,17071.29876,24971400,15,1,14326,14330,77,17325,9.808889389,13.43888855,3.629999161,10.35822981,1.051038313,797.5836954 +14328,MN,16,7508,101,317.04,3002,2,1,10280,E010,1,15,8900,1,1, ,200 RECTOR PLACE,BPC, , , , , ,BPC, , , ,N,RM,4,0,X,LIBERTY COURT CONDOMI,37248,428589,4750,423839,1640,3110,0,0,0,0,2,1,44,545,547,166,188,0,0, ,0,Y,5,5,11231990,72383403,11231990,72383403,1987,0,0, , ,11.51,0,0,0,1,1000167508,498,31704,979703,197392,12b, ,101S089,10101, ,1000160050,2/8/1988,1,1,1,17V1.1,7,836.9390463,39533.12577,61151400,15,1,14327,14331,177,39825,10.93111134,15.35333347,4.422222137,12.01587922,0.452331566,2126.810622 +14329,MN,605,7501,102,69,1000,2,3,10014,E024,6,15,6400,2,2, ,657 GREENWICH STREET,R6, , , , , , , , , ,N,R5,5,0, , ,0,42161,42161,0,0,0,0,0,0,42161,7,2,4,0,2,0,0,0,0, ,0,N,0,5,1542600,3180600,0,0,0,0,0, , ,0,2.43,0,4.8,1,1006057501,2722,69,982192,206124,12a, ,103 002,10208, ,1006050008,7/29/2016,1, , ,17V1.1,7,957.0946226,18554.5855,1638000,9,0,14328,14332,85,19125,17.32222176,20.87666702,3.554445267,18.18102453,1.351075414,1545.387085 +14330,MN,644,1,102,79,1006,2,3,10014,L005,6,15,6100,1,2,3B,555 WEST STREET,M1-5, , , , , , , , , ,N,K4,4,1,C,PARKS AND RECREATION,94394,77923,77923,0,38961,38962,0,0,0,0,2,2,2,0,1,486.5,317.25,253,172.08,E,0,Y,5,5,7747650,15392700,7747650,15392700,1949,0,0, , ,0.83,0,5,6.5,1,1006440001,0,79,981878,208912,8b, ,103 039,10210, ,1006440001,12/18/2013,1,1,1,17V1.1,0,1044.245891,56716.55591,7645050,8,1,14329,14333,253,56925,8.948888779,11.90111065,2.95222187,9.470514101,0.660810049,2396.040068 +14331,MN,818,76,105,54,1005,2,3,10011,L003,13,15,5700,1,5,1B,48 WEST 17 STREET,C6-4A, , , , , , , , , ,N,H3,5,0, ,JS CHELSEA LLC,3098,13506,1950,1800,0,1950,0,0,0,0,2,2,5,7,11,33.58,92,33,92, ,3,N,5,2,276300,1251900,0,0,1890,1988,0,Ladies' Mile Historic District, ,4.36,10,10,10,1,1008180076,0,54,985741,208402,8d, ,102 033,10306, ,1008180076,2/15/2017,1, , ,17V1.1,0,269.2389315,3457.246638,975600,7,0,14330,14334,15,3375,31.11599922,34.92666626,3.810667038,31.71549594,1.170378832,475.732439 +14332,MN,164,1,103,29,1006,2,1,10013,E009,5,15,7700,1,3,1A,30 MULBERRY STREET,C6-1, , , , , , , , , ,N,C7,4,0, ,"SZE & WONG, INC.",2190,11740,2000,9740,0,2000,0,0,0,0,2,1,6,15,18,25.42,85.67,25,86, ,2,Y,3,2,155700,776700,0,0,1915,0,0, , ,5.36,3.44,6,6.5,1,1001640001,0,29,984422,199602,12d, ,101S032,10105, ,0, ,1, , ,17V1.1,0,233.4352324,2452.064467,621000,14,0,14331,14335,10,2250,20.62111092,20.62111092,0,20.62111092,0,206.2111092 +14333,MN,579,7501,102,37,3007,2,3,10013,L008,1,15,6800,1,2, ,286 SPRING STREET,M1-6, , , , , ,HSQ, , , ,N,RM,4,0, , ,0,24533,8794,15739,3670,0,0,0,0,5124,7,1,7,4,6,0,0,0,0, ,0,N,0,5,200144,4525078,0,0,0,0,0, , ,0,0,10,10,1,1005797501,2493,37,982238,203584,12a, ,101N065,10208, ,1005790005,7/8/2016,1, , ,17V1.1,7,420.0019104,4530.820385,4324930,0,0,14332,14336,21,4725,14.92222214,16.85555458,1.933332443,15.85556616,0.396751739,332.9668894 +14334,MN,595,7504,102,37,1018,2,3,10013,L008,1,15,6800,1,2, ,330 SPRING STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,6126,75631,6766,68865,0,6766,0,0,0,0,2,1,12,40,42,80.08,76.5,80,97, ,0,Y,0,5,477008,10358557,0,1981751,2005,0,0, , ,12.35,6.02,6,6.5,1,1005957504,1616,37,981565,203708,12a, ,11N 063,10208,E-116,1005950068,1/4/2007,1,1,1,17V1.1,7,360.3881034,8043.93368,9881550,0,1,14333,14337,35,7875,8.821000099,9.533555985,0.712555885,8.848133441,0.1208549,309.6846704 +14335,MN,602,56,102,69,1007,2,3,10014,E024,6,15,6400,1,2,1B,625 GREENWICH STREET,M1-5/R7X, , , , , ,MX-6, , , ,N,S5,4,0, ,"RAMBLES REAL ESTATE,",1468,10381,2596,7785,0,0,0,0,0,2596,2,1,6,5,6,26.33,63.83,26,66, ,1,Y,5,5,146431,792426,0,0,1920,1985,2006, , ,7.07,5,5,5,1,1006020056,0,69,982062,205474,12a, ,103 001,10208, ,0, ,1, , ,17V1.1,0,190.8516687,1678.267965,645995,9,0,14334,14338,8,1800,15.12644386,15.12644386,0,15.12644386,0,121.0115509 +14336,MN,602,58,102,69,1007,2,3,10014,E024,6,15,6400,1,2,1B,627 GREENWICH STREET,M1-5/R7X, , , , , ,MX-6, , , ,N,L9,6,0, ,627 GREENWICH OWNER L,10679,106869,106869,0,0,0,0,106869,0,0,2,2,12,38,38,100.33,102.35,100,102.33, ,3,Y,3,2,1338750,8329950,0,0,1911,2015,2015, , ,10.01,5,5,5,1,1006020058,0,69,982099,205532,12a, ,103 001,10208,R-141,1006020058,1/6/1988,1, , ,17V1.1,0,426.9220793,11336.91423,6991200,9,0,14335,14339,50,11250,15.12644386,16.86888886,1.742444992,15.16716389,0.246551568,758.3581944 +14337,MN,831,7502,105,76,2002,2,3,10001,E001,14,15,5200,1,5, ,50 WEST 30 STREET,C6-4X, , , , , , , , , ,N,RM,4,0, , ,7071,74551,13266,61285,0,13266,0,0,0,0,2,1,24,55,57,0.16,0,68,95, ,1,Y,0,5,2099251,2968181,0,0,2016,0,0, , ,10.54,10,10,10,1,1008317502,2704,76,987192,211427,8d, ,104 015,10306, ,1008310078,7/15/2016,1, , ,17V1.1,7,369.4428629,7283.393682,868930,6,0,14336,14340,32,7200,41.16799927,42.73333359,1.56533432,41.39125621,0.452529422,1324.520199 +14338,MN,784,71,105,109,1005,2,3,10001,E026,14,15,5200,1,5,1H,254 WEST 35 STREET,M1-6, , , , , ,GC, , , ,N,F5,6,0, ,254-258 W 35TH ST LLC,7406,106642,106642,0,0,0,0,0,106642,0,2,1,16,0,14,75,98.75,75,99, ,3,N,5,2,585000,5430150,0,0,1924,0,0, , ,14.4,0,10,10,1,1007840071,0,109,986365,213380,8d, ,105N033,10304, ,0, ,1, , ,17V1.1,0,346.9535969,7379.384605,4845150,6,0,14337,14341,30,6750,34.68444443,34.68444443,0,34.68444443,0,1040.533333 +14339,MN,90,13,101,15.01,1004,2,1,10038,E006,1,15,7700,1,1,1B,34 PARK ROW,C5-5, , , , , ,LM, , , ,N,D6,4,0,P,"ONE BEEKMAN OWNER, LL",4861,72873,14761,58112,0,14761,0,0,0,0,2,2,23,31,34,58.54,53.67,58,81, ,2,Y,3,2,520200,565200,0,0,2016,2016,0, , ,14.99,10,15,15,1,1000900013,0,1501,982299,198482,12b, ,101S019,10103, ,1000900013,7/1/2016,1, , ,17V1.1,0,306.8637605,5633.885888,45000,3,0,14338,14342,27,6075,37.81000137,38.74888992,0.93888855,37.917779,0.264009915,1023.780033 +14340,MN,212,7505,101,33,3008,2,1,10013,L008,1,15,7700,3,1, ,11 BEACH STREET,C6-2A, , , , , ,TMU, , , ,N,R4,3,0, , ,0,97000,0,97000,0,0,0,0,0,0,7,1,10,27,27,0,0,0,0, ,0,N,0,5,1746007,7591513,0,0,0,0,0, , ,0,6.02,6,6.5,1,1002127505,2676,33,0,0,12a, ,101N041,10105, ,1002120007,12/2/2016,1, ,1,17V1.1,7,503.4691285,12098.01058,5845510,14,1,14339,14343,54,12150,10.09222221,13.71555614,3.623333931,11.16655352,0.409773099,602.9938898 +14341,MN,17,7501,101,13,1016,2,1,10006,E010,1,15,7700,1,1, ,50 WEST STREET,C6-9, , , , , ,LM, , , ,N,RM,4,0, , ,0,386820,18055,368765,6159,11896,0,0,0,0,7,1,64,187,205,0,0,0,0, ,1,N,0,5,6105148,53736026,0,0,0,0,0, , ,0,10,15,15,1,1000177501,2744,13,0,0,12b, ,101S003,10101, ,1000170018,12/9/2016,1,1,1,17V1.1,7,578.5630791,18966.74074,47630900,15,1,14340,14344,84,18900,7.869999886,7.869999886,0,7.869999886,0,661.0799904 +14342,MN,716,17,104,89,3001,2,3,10011,E003,10,15,5600,1,4,1B,401 WEST 18 STREET,R8, , , ,C2-5, , , , , ,N,D1,3,0,O,NYC HOUSING AUTHORITY,62560,253070,0,253070,0,0,0,0,0,0,2,3,7,291,291,330,184,160,48, ,3,Y,3,5,2295000,25821450,2295000,25821450,1963,0,0, , ,4.05,6.02,0,6.5,1,1007160017,0,89,983103,210359,8b, ,103 041,10302, ,1007160017,12/5/2016,1, , ,17V1.1,0,1081.33048,64594.3752,23526500,7,1,14341,14345,286,64350,10.75688839,17.51555443,6.758666039,14.3622843,0.685292954,4107.61331 +14343,MN,571,25,102,61,1000,2,2,10003,L003,6,15,5700,1,2,3A,120 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,D8,3,0,P,UNIVERSITY PLACE ASSO,10204,59299,8370,50929,0,8370,0,0,0,0,2,1,7,92,95,77,125.25,76,108, ,2,Y,3,2,1314000,8178750,0,0,1959,1987,0, , ,5.81,6.02,2,6.5,1,1005710025,0,61,986343,206994,12c, ,103 022,10207, ,0, ,1, , ,17V1.1,0,436.832157,10928.70332,6864750,8,0,14342,14346,49,11025,36.25,39.90555573,3.655555725,36.47845802,0.659508134,1787.444443 +14344,MN,925,7501,106,64,4002,2,2,10003,E005,13,14,5900,1,6, ,355 EAST 19 STREET,R7B, , , , , , , , , ,N,R1,2,0, , ,3680,14636,0,14636,0,0,0,0,0,0,2,1,7,7,7,40,92,40,53, ,2,N,5,2,693900,2175753,0,593670,2014,0,0, , ,3.98,3,0,3,1,1009257501,2746,64,0,0,12c, ,102 048,10309, ,1009250031,12/16/2016,1, , ,17V1.1,7,268.9306043,3779.13522,1481850,5,0,14343,14347,17,3825,15.27999973,16.53111076,1.251111031,15.39261414,0.324463048,261.6744404 +14345,MN,897,1,106,48,3001,2,2,10003,E005,13,14,5900,1,6,1A,147 3 AVENUE,C1-9A, , , , , , , , , ,N,D4,3,0, ,201 E 15TH OWNERS COR,10317,58000,5000,53000,0,5000,0,0,0,0,2,1,7,54,55,103,100.17,98,100,G,3,N,3,2,1003500,6117300,107934,107934,1960,0,0, , ,5.62,10,2,10,1,1008970001,0,48,988066,206708,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,0,409.6566626,10472.92116,5113800,5,0,14344,14348,45,10125,27.7444458,30.51022339,2.765777588,27.80590753,0.407690956,1251.265839 +14346,MN,779,41,105,95,2000,2,3,10001,L024,14,15,5200,1,5,1H,352 7 AVENUE,M1-6D,M1-6, , , , , , , , ,Y,O6,5,0,P,352 ACQUISITION COMPA,7484,127488,127488,0,120004,7484,0,0,0,0,2,1,16,0,19,38,121,38,121, ,0,Y,5,5,1494000,13813650,0,0,1923,0,0, , ,17.03,10,10,10,1,1007790041,0,95,986190,211921,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,458.0927662,7620.042207,12319700,6,0,14345,14349,33,7425,31.05999947,34.09555435,3.035554886,31.25912406,0.670638686,1031.551094 +14347,MN,68,7,101,15.02,1010,2,1,10038,E004,1,15,7700,1,1, ,83 MAIDEN LANE,C5-5, , , , , ,LM, , , ,N,O6,5,0,P,AHRC NYC NEW PROJECT,10894,155450,155450,0,137500,17950,0,0,0,0,2,1,13,0,19,106.08,132.56,106,133, ,3,Y,3,2,2137500,13927500,1154250,6782616,1958,2005,2010, , ,14.27,10,15,15,1,1000680007,0,1502,982209,197051,12b, ,101S012,10102, ,0, ,1, ,1,17V1.1,0,427.7419718,10902.83276,11790000,4,1,14346,14350,48,10800,12.01500034,13.77500057,1.760000229,13.72750052,0.25515902,658.9200249 +14348,MN,16,7504,101,317.04,2000,2,1,10280,E010,1,15,8900,1,1, ,300 ALBANY STREET,BPC, , , , , ,BPC, , , ,N,RM,4,0,P,AKAM ASSOCIATES,16108,72913,4295,68618,0,4295,0,0,0,0,2,1,9,107,110,133.58,122,0,0, ,0,Y,5,5,2941199,13561206,2941199,13561206,1986,0,0, , ,4.53,0,0,0,1,1000167504,360,31704,979576,197918,12b, ,101S090,10101, ,1000160110,1/7/1987,1, , ,17V1.1,7,525.4172875,17344.81256,10620000,15,1,14347,14351,76,17100,9.808889389,14.5666666,4.757777214,10.59337462,1.379251875,805.0964708 +14349,MN,774,4,104,91,2001,2,3,10001,E001,10,15,5200,1,4,2A,286 8 AVENUE,C6-2A, , , , , , , , , ,N,K4,4,0, ,CARLAMY REALTY LLC,2467,7775,7775,0,0,2418,0,5357,0,0,2,1,4,0,4,24.67,100,24.67,98,E,3,N,5,2,192600,1607400,0,0,1920,1989,0, , ,3.15,6.02,6,6.5,1,1007740004,0,91,984946,211104,8d, ,105S009,10304, ,0, ,1, , ,17V1.1,0,254.5779885,2558.154349,1414800,2,0,14348,14352,11,2475,24.85199928,24.85199928,0,24.85199928,0,273.3719921 +14350,MN,714,63,104,83,3001,2,3,10011,E003,10,15,5600,1,4,1B,458 WEST 17 STREET,C6-3, , , , , ,WCH, , , ,N,C7,4,0,P,CLINTON HOUSING 10THP,2325,10710,1250,9460,0,1250,0,0,0,0,2,1,5,12,14,23,100,23,96, ,3,N,3,2,90000,467100,64800,336312,1910,2003,0, , ,4.61,7.52,6,10,1,1007140063,0,83,982429,210277,8b, ,103 041,10302, ,0, ,1, ,1,17V1.1,0,254.2630832,2590.089695,377100,7,1,14349,14353,10,2250,9.827776909,10.61933327,0.791556358,10.27826633,0.182536618,102.7826633 +14351,MN,913,34,106,70,1001,2,2,10016,L007,17,14,5800,1,6,2A,258 EAST 33 STREET,C1-8A, , , , , , , , , ,N,S2,4,0, ,BULLFROG REALTY CO LL,1235,3454,1036,2418,0,1036,0,0,0,0,2,1,3,2,3,16.67,74,16.67,45,E,2,N,3,5,136724,170857,0,0,1910,0,0, , ,2.8,7.52,2,7.5,1,1009130034,0,70,990717,210350,8d, ,104 021,10308, ,0, ,1, , ,17V1.1,0,186.4013805,1365.020754,34133,10,0,14350,14354,6,1350,19.78333282,19.78333282,0,19.78333282,0,118.6999969 +14352,MN,411,58,103,30.01,2000,1,1,10002,L018,7,14,6600,1,3,2A,149 ESSEX STREET,C4-4A, , , , , , , , , ,N,D5,3,0, ,152 LUDLOW STREET LLC,6725,30870,12035,18835,0,5647,0,6388,0,0,2,1,7,22,25,50,179,25,86, ,3,Y,4,2,335250,5329350,0,0,1910,2016,2014, , ,4.59,4,4,4,1,1004110058,0,3001,987714,201872,12c, ,102 003,10204, ,0, ,1, , ,17V1.1,0,469.0585102,7004.117013,4994100,1,0,14351,14355,31,6975,30.50799942,33.10755539,2.599555969,30.79355517,0.619898266,954.6002102 +14353,MN,903,7504,106,64,1001,2,2,10010,E005,13,14,5900,1,6, ,234 EAST 23 STREET,C2-8A, , , , , , , , , ,N,RM,4,0, , ,0,65895,4600,61295,0,4600,0,0,0,0,2,1,20,56,57,0,0,0,0, ,0,N,0,5,2777402,12625206,0,0,2014,0,0, , ,0,10,2,10,1,1009037504,2648,64,989280,208141,8d,Y,104 007,10308, ,1009030041,4/15/2016,1, , ,17V1.1,7,328.4391717,6356.220444,9847800,11,0,14352,14356,28,6300,19.86555672,21.63777733,1.772220612,19.96781853,0.379778038,559.0989189 +14354,MN,341,58,103,14.02,2006,1,1,10002,L018,7,14,7400,1,3,2B,410 GRAND STREET,R8, , , , , , , , , ,N,D6,4,0,P,SOUTHEAST GRND ST ETA,56032,225000,15185,209815,0,15185,0,0,0,0,2,2,26,400,404,249.92,301.67,124,145, ,0,Y,3,5,1710000,14275800,1710000,14275800,1972,1987,2009, , ,4.02,6.02,0,6.5,1,1003410058,0,1402,988120,200226,12c, ,101N080,10201, ,1003410058,8/12/2016,1, , ,17V1.1,0,1113.047907,56978.52661,12565800,13,0,14353,14357,254,57150,27.44555664,40.1277771,12.68222046,33.49584721,4.138223998,8507.94519 +14355,MN,804,42,105,95,1001,2,3,10001,E001,13,15,5200,1,5, ,831 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,K4,4,0, ,THE KIM FAMILY JOINT,1204,4816,4816,0,1204,2408,0,1204,0,0,2,1,4,0,4,18.67,64.5,18,62, ,3,N,3,2,337500,1610100,0,0,1901,1989,0, , ,4,10,10,10,1,1008040042,0,95,986912,211311,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,171.9333149,1336.042984,1272600,6,0,14354,14358,5,1125,40.67900085,42.99000168,2.311000824,41.56984558,1.092346757,207.8492279 +14356,MN,631,7503,102,75,1004,2,3,10014,L005,6,15,6400,2,2, ,275 WEST 10 STREET,C1-7, , , , , , , , , ,N,R4,3,0, , ,0,120394,0,120394,0,0,0,0,0,0,7,1,13,54,54,0,0,0,0, ,0,N,0,5,3136522,17023949,0,0,0,0,0, , ,0,6.02,2,6.5,1,1006317503,2735,75,0,0,12a, ,103 012,10210, ,1006310001,12/23/2016,1, , ,17V1.1,7,504.7205045,14149.15174,13887400,9,0,14355,14359,64,14400,17.77111053,17.77111053,0,17.77111053,0,1137.351074 +14357,MN,443,35,103,36.02,1001,1,2,10003,E028,9,14,6500,1,3,3B,21 1 AVENUE,R7A, , , ,C2-5, , , , , ,N,C7,4,0,P,21 FIRST AVENUE LLC C,4920,24363,3400,20963,0,3400,0,0,0,0,2,1,7,39,42,36.58,100,37,88, ,3,Y,5,2,571500,3259350,0,0,1910,1961,0, , ,4.95,4,0,4,1,1004430035,0,3602,987411,202949,12c, ,102 010,10205, ,0, ,1, , ,17V1.1,0,379.8430441,4983.904128,2687850,1,0,14356,14360,20,4500,31.19000053,31.19000053,0,31.19000053,0,623.8000107 +14358,MN,413,51,103,18,1003,2,1,10002,E015,7,14,7400,1,3,2B,314 GRAND STREET,C4-4A, , , , , , , , , ,N,K4,4,0,P,GRAND STREET COMMONS,7709,29465,29465,0,14510,14955,0,0,0,0,2,1,4,0,8,87.83,87.83,80,87, ,3,Y,3,2,693000,3829500,0,0,1920,1987,2014, , ,3.82,4,4,4,1,1004130051,0,18,986790,200670,12c, ,101N078,10204, ,0, ,1, , ,17V1.1,0,360.2578152,8108.481764,3136500,13,0,14357,14361,36,8100,38.47555542,40.93888855,2.46333313,38.63546276,0.544297401,1390.876659 +14359,MN,509,27,102,43,1002,2,1,10012,L020,5,15,6800,1,2,1G,285 MOTT STREET,C6-2,C6-3, , , , ,LI, , , ,Y,C7,4,0,P,"285 MOTT DEVELOPMENT,",7280,28542,4757,23785,0,4757,0,0,0,0,2,1,6,54,58,80.08,90.83,80,75, ,3,Y,5,2,447750,3901050,0,0,1900,1988,0, , ,3.92,6.02,6,6.5,1,1005090027,0,43,985742,203156,12c, ,101N076,10206, ,0, ,1, , ,17V1.1,0,351.2874269,7662.84033,3453300,9,0,14358,14362,34,7650,42.24222183,45.59999847,3.357776642,42.37120875,0.588250487,1440.621098 +14360,MN,426,29,103,36.01,3002,1,1,10002,L020,5,14,6500,1,3,2A,195 CHRYSTIE STREET,C6-3A,C6-1, , , , , , , , ,Y,O6,5,0,P,GREETING CARD PUBLISH,10000,81900,76150,5750,0,3000,0,73150,0,0,2,1,9,3,22,50,200,50,182, ,0,Y,5,5,675000,4815450,0,0,1920,2015,2016, , ,8.19,7.52,6,7.5,1,1004260029,0,3601,986375,202378,12c, ,102 001,10204, ,0, ,1, , ,17V1.1,0,507.8293557,10194.17876,4140450,13,0,14359,14363,44,9900,41.51444626,43.7677803,2.253334045,41.70104972,0.595543634,1834.846188 +14361,MN,350,12,103,30.01,3000,1,2,10002,L018,7,14,6600,1,3,2A,271 EAST HOUSTON STREET,R8A, , , , , , , , , ,N,C7,4,0, ,269 E HOUSTON PARTNER,2285,12200,2000,10200,0,2000,0,0,0,0,2,1,6,15,17,37.67,60.67,38,56,E,2,N,3,2,270000,1853100,0,0,1920,1984,2014, , ,5.34,6,0,6,1,1003500012,0,3001,988502,202123,12c, ,102 005,10201, ,0, ,1, , ,17V1.1,0,204.3253349,2487.314002,1583100,1,0,14360,14364,11,2475,22.40999985,25.38222122,2.972221375,23.02555535,0.964794152,253.2811089 +14362,MN,286,40,103,2.01,1000,1,1,10002,E015,7,14,8000,1,3,1B,223 EAST BROADWAY,R7-2, , , , , , , , , ,N,C7,4,0, ,"MAYFLOWER 221, LLC",4282,21309,4000,17309,0,4000,0,0,0,0,2,1,6,26,33,47.58,90,47,90,E,3,N,3,2,290250,2099250,0,0,1910,1983,0, , ,4.98,3.44,0,6.5,1,1002860040,0,201,987857,199440,12d, ,101N058,10107, ,0, ,1, , ,17V1.1,0,286.2819908,4690.097916,1809000,13,0,14361,14365,22,4950,29.29777718,32.7555542,3.457777023,30.54204577,0.931341273,671.9250069 +14363,MN,539,7501,102,65,5000,2,1,10012,L009,6,15,5700,2,2, ,209 SULLIVAN STREET,R7-2, , , , , , , , , ,N,R4,3,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,7,24,24,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,3.44,0,6.5,1,1005397501,2657,65,0,0,12c, ,103 007,10207, ,1005390001,2/3/2017,1, , ,17V1.1,7,601.7951119,19017.01505,0,9,0,14362,14366,84,18900,25.23555565,28.00777817,2.772222519,25.9464127,1.110794358,2179.498667 +14364,MN,698,44,104,99,1030,2,3,10001,E003,10,15,5500,1,4,2B,510 WEST 27 STREET,M1-5, , , , , ,WCH, , , ,N,E1,6,0, ,CAHN FAMILY ASSOCIATE,7406,40000,40000,0,0,0,0,0,40000,0,2,1,6,0,2,75,98.75,75,90, ,2,N,5,2,376650,2385450,0,0,1934,1989,0,West Chelsea Historic District, ,5.4,0,5,6.5,1,1006980044,0,99,983358,212645,8b, ,105S004,10301, ,0, ,1, , ,17V1.1,0,350.9541434,7543.319954,2008800,2,1,14363,14367,34,7650,9.857999802,12.28333378,2.425333977,9.999457359,0.565852193,339.9815502 +14365,MN,768,7502,104,87,3000,2,3,10011,L012,10,15,5600,1,4, ,140 7 AVENUE,C6-3A, , , , , , , , , ,N,RM,4,0, ,CHADWIN HOUSE CONDOMI,18400,87047,10741,76306,343,0,10398,0,0,0,2,1,7,109,110,100,184,0,0, ,0,N,5,5,2143803,13659754,114299,156658,1962,0,0, , ,4.73,7.52,6,7.5,1,1007687502,479,87,984813,209419,8d, ,103 033,10304, ,1007680034,1/5/1988,1, , ,17V1.1,7,572.5084252,18694.46186,11516000,7,0,14364,14368,84,18900,21.88888931,28.06333351,6.174444199,23.08218554,1.008322381,1938.903585 +14366,MN,624,7504,102,77,4002,2,3,10014,L005,6,15,6100,3,2, ,75 BANK STREET,C1-6,R6, , , , , , , , ,Y,RM,4,0, ,ABINGDON COURT OWNERS,15200,3911,3911,0,0,3911,0,0,0,0,2,1,6,87,88,93.75,150.04,0,0, ,0,Y,5,5,1327500,8434800,140410,140410,1939,0,0,Greenwich Village Historic District, ,0.26,3.44,2,6.5,1,1006247504,640,77,982858,207738,12a, ,103 016,10210, ,1006240025,8/26/1989,1, , ,17V1.1,7,538.283125,15704.28225,7107300,8,0,14365,14369,69,15525,20.58111191,24.11999893,3.538887024,20.82560456,0.807626141,1436.966715 +14367,MN,629,7501,102,77,3000,2,3,10014,L005,6,15,6100,3,2, ,321 WEST 13 STREET,C1-6, , , , , , , , , ,N,R4,3,0,P,GANSEVOORT CONDOMINIU,4646,24171,0,24171,0,0,0,0,0,0,2,1,7,21,21,45,103.25,0,0, ,0,N,5,5,774001,3404251,4720,4720,1907,0,0, , ,5.2,3.44,2,6.5,1,1006297501,469,77,983143,208779,8b, ,103 035,10210, ,1006290052,12/31/1987,1, , ,17V1.1,7,298.4057465,4587.326699,2630250,8,0,14366,14370,21,4725,16.45777702,17.48666763,1.02889061,16.50677181,0.219111366,346.6422081 +14368,MN,746,38,104,93,2001,2,3,10011,L012,10,15,5200,1,4,2A,237 8 AVENUE,C1-6A, , , , , , , , , ,N,C7,4,0, ,"FELDS REALTY,",8460,38802,6000,32802,0,6000,0,0,0,0,2,1,6,44,50,84.5,100,85,86, ,2,N,3,2,540000,5841450,0,0,1910,1989,0, , ,4.59,4,2,4,1,1007460038,0,93,984482,210676,8d, ,105S007,10303, ,0, ,1, , ,17V1.1,0,371.7441181,8609.914161,5301450,2,0,14367,14371,38,8550,15.97222233,23.88444328,7.912220955,16.4713509,1.759346793,625.911334 +14369,MN,809,45,105,101,1001,2,3,10001,L024,14,15,5200,1,5, ,1311 BROADWAY,C6-6, , , , , ,MID, , , ,N,W9,8,0, ,HERALD CENTER DEPARTM,24393,258412,258412,0,0,67000,0,0,0,191412,2,1,9,0,10,173,150,198,150, ,2,Y,3,2,21960000,82321200,0,0,1902,1985,2014, , ,10.59,10,15,15,1,1008090045,0,101,987458,212365,8d, ,105S024,10305, ,0, ,1, , ,17V1.1,0,702.8440217,27169.00456,60361200,6,0,14368,14372,120,27000,41.24700165,46.10777664,4.860774994,41.55953395,1.105894468,4987.144073 +14370,MN,803,38,105,95,1002,2,3,10001,E001,13,15,5200,1,5, ,801 AVENUE OF THE AMER,C6-4X, , , , , , , , , ,N,S4,4,0, ,THUNDER ROAD ASSOCS L,1200,5010,1200,3810,0,1200,0,0,0,0,2,1,5,4,5,20,60,20,60,E,3,N,5,5,272489,803842,0,0,1910,2005,2001, , ,4.18,10,10,10,1,1008030038,0,95,986734,210982,8d, ,105S012,10305, ,0, ,1, , ,17V1.1,0,166.7749841,1286.843176,531353,2,0,14369,14373,5,1125,37.16799927,37.16799927,0,37.16799927,0,185.8399963 +14371,MN,909,15,106,66,1000,2,2,10016,E016,13,14,5800,1,6,2A,229 EAST 28 STREET,R8B, , , , , , , , , ,N,D4,3,0, ,229 EAST 28 ST OWNERS,9875,44912,0,44912,0,0,0,0,0,0,2,1,7,84,84,100,98.75,100,67, ,3,N,5,2,477000,5390100,61770,61770,1962,1986,0, , ,4.55,4,0,4,1,1009090015,0,66,989971,209454,8d, ,104 008,10308, ,0, ,1, , ,17V1.1,0,403.6556336,10182.8943,4913100,11,0,14370,14374,46,10350,34.61700058,38.88333511,4.266334534,35.4033048,1.251886603,1628.552021 +14372,MN,771,46,104,87,4000,2,3,10011,L012,10,15,5600,1,4,1A,196 7 AVENUE,R8A,R8B, , ,C2-5, , , , , ,Y,D7,4,0,P,212 W 22 REALTY LLC,14318,76450,10000,66450,0,10000,0,0,0,0,2,1,6,77,85,123.42,120,123,120, ,2,Y,3,2,1962000,8437500,0,4796100,1940,1987,0, , ,5.34,6,0,6,1,1007710046,0,87,985183,210102,8d, ,103 034,10304, ,0, ,1, , ,17V1.1,0,492.2688189,14651.54359,6475500,7,0,14371,14375,65,14625,22.40399933,27.23999977,4.836000443,22.49746601,0.612121254,1462.335291 +14373,MN,611,7501,102,73,6004,2,3,10014,Q018,6,15,6400,2,2, ,130 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,RM,4,0, , ,0,15414,2801,12613,0,0,0,0,0,2801,7,1,7,5,7,0,0,0,0, ,0,N,0,5,463500,2615081,0,0,0,0,0, , ,0,3.44,2,6.5,1,1006117501,2649,73,983549,206899,12a, ,103 015,10209, ,1006110038,8/26/2016,1, , ,17V1.1,7,270.0276876,3153.452973,2151580,8,0,14372,14376,14,3150,23.83777809,24.01600075,0.178222656,24.00327056,0.045899352,336.0457878 +14374,MN,193,7511,101,33,1002,2,1,10013,L001,1,15,7700,3,1, ,60 WHITE STREET,C6-2A, , , , , , , , , ,N,RM,4,0, , ,5076,23205,5252,17953,0,5252,0,0,0,0,2,1,6,8,9,46.12,108.71,46,100, ,3,Y,0,5,660086,2525220,0,0,1920,0,0, , ,4.57,6.02,6,6.5,1,1001937511,2690,33,983284,201038,12a, ,101N046,10105, ,1001930004,8/5/2016,1, , ,17V1.1,7,318.9713246,5253.079573,1865130,14,0,14373,14377,23,5175,13.68111134,13.68111134,0,13.68111134,0,314.6655607 +14375,MN,901,58,106,64,2001,2,2,10010,E005,13,14,5900,1,6,1B,261 3 AVENUE,C1-9A, , , , , , , , , ,N,D6,4,0, ,LONGER HILLS II LLC,7513,124264,5309,118955,0,5309,0,0,0,0,2,5,20,65,66,100.17,75,100,75, ,0,Y,3,5,789750,794250,0,0,2016,0,0, , ,16.54,10,2,10,1,1009010058,0,64,988697,207875,12c, ,102 047,10308, ,1009010058,7/8/2016,1, , ,17V1.1,0,352.7923157,7574.668142,4500,5,0,14374,14378,33,7425,19.86555672,24.38333321,4.517776489,20.45218947,1.405437242,674.9222527 +14376,MN,570,7504,102,61,1001,2,2,10003,L003,6,15,5700,3,2, ,17 EAST 12 STREET,C6-1, , , , , , , , , ,N,R1,2,0, , ,0,39380,0,39380,0,0,0,0,0,0,7,1,11,9,9,0,0,0,0, ,3,N,5,5,297500,3854649,0,0,0,0,0, , ,0,3.44,6,6.5,1,1005707504,2734,61,986148,206826,12c, ,103 022,10207, ,1005700036,9/30/2016,1, , ,17V1.1,7,427.8886505,7103.752596,3557150,8,0,14375,14379,31,6975,33.2820015,37.97666931,4.694667816,33.60977923,1.026209454,1041.903156 +14377,MN,397,7503,103,30.02,1001,1,2,10002,E028,9,14,6600,3,3, ,250 EAST HOUSTON STREET,R8A, , , ,C2-5, , , , , ,N,RM,4,0, , ,0,135480,25048,110432,0,25048,0,0,0,0,7,1,12,132,134,0,0,0,0, ,3,N,0,5,4769998,23593050,0,0,0,0,0, , ,0,6,0,6,1,1003977503,2703,3002,988432,202355,12c, ,102 012,10203, ,1003970063,10/7/2016,1, , ,17V1.1,7,1231.27493,34347.29912,18823100,1,0,14376,14380,150,33750,19.55999947,27.19000053,7.630001068,20.65741736,2.248706494,3098.612604 +14378,MN,874,7505,106,50,2000,2,2,10003,E005,13,14,5300,1,6, ,78 IRVING PLACE,R8B, , , , , , , , ,LH-1,N,R1,2,0, , ,0,16928,0,16928,0,0,0,0,0,0,7,2,7,7,7,0,0,0,0, ,2,N,0,5,185228,2320051,0,0,0,0,0, , ,0,4,0,4,1,1008747505,2733,50,988040,207726,12c, ,102 046,10307, ,1008740060,10/7/2016,1, , ,17V1.1,7,275.2352402,3197.327212,2134820,5,0,14377,14381,15,3375,27.68333435,31.20777702,3.524442673,28.16933403,1.152107075,422.5400105 +14379,MN,929,38,106,64,6000,2,2,10010,E016,13,14,5900,1,6,1B,340 EAST 24 STREET,R8, , , ,C2-5, , , , , ,N,H8,8,0,P,"407 FIRST DORMITORY,",18344,157512,22228,0,0,22228,0,0,0,0,2,1,14,0,254,225,98.75,225,99, ,1,Y,3,0,2440800,13936050,0,0,2015,0,0, , ,8.59,6.02,0,6.5,1,1009290038,0,64,990118,208021,12c,Y,104 009,10309, ,1009290038,11/9/2016,1, , ,17V1.1,0,666.0830866,19793.6222,11495300,11,0,14378,14382,88,19800,14.61666679,17.91111183,3.294445038,15.65505815,0.450497755,1377.645117 +14380,MN,830,45,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,264 5 AVENUE,C5-2, , , , , , , , , ,N,D7,4,0, ,FIVE POINTS JV L.P.,2975,13875,3000,10875,0,3000,0,0,0,0,2,1,5,14,20,29.75,100,30,100, ,3,N,3,2,585000,1547550,0,0,1928,1985,0, , ,4.66,10,10,10,1,1008300045,0,76,987789,210824,8d, ,104 015,10306, ,1008300042,12/14/2016,1, , ,17V1.1,0,268.470737,3117.759689,962550,11,0,14379,14383,14,3150,44.0340004,44.13000107,0.096000671,44.04631805,0.02788592,616.6484528 +14381,MN,830,46,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1A,2 WEST 29 STREET,M1-6, , , , , , , , , ,N,D0,3,0,P,FIFTH AVE ARCADE INC,4900,69649,3000,66649,0,3000,0,0,0,0,2,1,16,22,24,50,98,48,96, ,2,N,5,2,1107000,7140600,7080,7080,1928,1989,0, , ,14.21,0,10,10,1,1008300046,0,76,987704,210830,8d, ,104 015,10306, ,0, ,1, , ,17V1.1,0,309.3538377,4858.335031,6033600,11,0,14380,14384,22,4950,44.0340004,46.06977844,2.035778046,44.26523278,0.517398653,973.8351212 +14382,MN,830,42,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,258 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O6,5,0, ,FIVE POINTS II LLC,5077,59870,59870,0,55370,4500,0,0,0,0,2,2,12,0,29,49.33,105,49,100,E,3,Y,5,2,2205000,4295247,0,0,1900,0,0, , ,11.79,10,10,10,1,1008300042,0,76,987758,210771,8d, ,104 015,10306, ,1008300042,12/14/2016,1, , ,17V1.1,0,329.0203359,5585.246145,2090250,11,0,14381,14385,24,5400,44.0340004,44.0340004,0,44.0340004,0,1056.81601 +14383,MN,830,44,105,76,2004,2,4,10001,E001,13,15,5200,1,5,1B,262 5 AVENUE,C5-2, , , , , , , , , ,N,K4,4,0, ,FIVE POINTS JV L.P.,1942,9000,9000,0,3550,1900,0,3550,0,0,2,1,5,0,3,19.42,100,19,100,E,3,N,5,2,366750,769501,0,0,1905,1987,0, , ,4.63,10,10,10,1,1008300044,0,76,987777,210803,8d, ,104 015,10306, ,1008300042,12/14/2016,1, , ,17V1.1,0,247.2689921,2023.831769,402751,11,0,14382,14386,9,2025,44.0340004,44.0340004,0,44.0340004,0,396.3060036 +14384,MN,78,7505,101,15.02,1002,2,1,10038,E006,1,15,7700, ,1, ,72 NASSAU STREET,C5-5, , , , , ,LM, , , ,N,RM,4,0, , ,8044,32107,17307,14800,0,14548,0,2759,0,0,2,1,3,10,20,77,99.75,77,110.83, ,0,Y,3,5,1809000,5072850,0,0,1930,2003,0, , ,3.99,10,15,15,1,1000787505,1310,1502,981999,197798,12b, ,11S 011,10102, ,1000780035,12/24/2003,1, , ,17V1.1,7,377.2131404,8578.626811,3263850,4,0,14383,14387,38,8550,31.48555565,34.06200027,2.576444626,33.953164,0.47626469,1290.220232 +14385,MN,805,1,105,95,1000,2,3,10001,E001,14,15,5200,1,5,1H,341 7 AVENUE,M1-6, , , , , , , , , ,N,K4,4,0, ,"341 7TH AVENUE, LLC",1850,7400,7400,0,3700,3700,0,0,0,0,2,1,4,0,6,24.67,75,24.67,75, ,3,Y,3,2,463500,1532250,0,0,1920,0,0, , ,4,0,10,10,1,1008050001,0,95,986309,211735,8d, ,105S023,10305, ,0, ,1, , ,17V1.1,0,205.5000533,2035.45242,1068750,6,0,14384,14388,9,2025,34.63499832,35.01444244,0.379444122,34.67715878,0.119247783,312.094429 +14386,MN,882,7503,105,68,1001,2,2,10010,E016,13,14,5300,1,5, ,88 LEXINGTON AVENUE,C6-2A,C4-5A, , , , , , , , ,Y,R4,3,0, , ,0,138565,0,138565,0,0,0,0,0,0,7,1,18,90,90,0,0,0,0, ,0,N,0,5,3140994,26746731,0,0,0,0,0, , ,0,6.02,6,6.5,1,1008827503,2683,68,988816,209505,8d, ,104 006,10307, ,1008820021,7/15/2016,1, , ,17V1.1,7,438.9059561,11971.44915,23605700,11,0,14385,14389,53,11925,32.97355652,33.85400009,0.880443573,33.83738795,0.119791866,1793.381561 +14387,MN,780,76,105,101,1005,2,3,10001,L024,14,15,5200,1,5,1H,410 8 AVENUE,C6-3X, , , , , , , , , ,N,K4,4,0, ,A.M.A.A. REALTY CORP.,2500,13900,13900,0,2634,6500,0,0,0,4766,2,1,5.75,0,2,25,100,25,100,E,3,N,5,2,195300,2088450,0,0,1925,2003,2003, , ,5.56,9,6,9,1,1007800076,0,101,985706,212478,8d, ,105S021,10304, ,0, ,1, , ,17V1.1,0,250.2730869,2376.489304,1893150,6,0,14386,14390,10,2250,30.91888809,31.09600067,0.177112579,31.07828941,0.053133774,310.7828941 +14388,MN,283,72,103,6,1000,2,1,10002,E015,7,14,7800,1,3,1B,162 EAST BROADWAY,C6-2, , , , , , , , , ,N,C7,4,0, ,162 EAST BROADWAY LLC,1140,5572,1050,4522,0,1050,0,0,0,0,2,1,6,10,11,25,45.58,25,46,E,3,N,3,2,78750,921600,0,0,1900,1984,0, , ,4.89,6.02,6,6.5,1,1002830072,0,6,986911,199479,12d, ,101N051,10107, ,0, ,1, , ,17V1.1,0,150.5828613,1282.546502,842850,13,0,14387,14391,6,1350,32.80699921,32.80699921,0,32.80699921,0,196.8419952 +14389,MN,280,38,103,8,1001,2,1,10002,E009,5,14,7800,1,3,1A,45 EAST BROADWAY,C6-1G, , , , , , , , , ,N,K4,4,0, ,QUON DUNN CP,2025,10750,10750,0,1792,5375,0,0,0,3583,2,1,6,0,5,27,75,27,75, ,3,N,5,2,206100,2029950,0,0,1910,1987,0, , ,5.31,3.44,6,6.5,1,1002800038,0,8,985386,199176,12d, ,101S029,10107, ,0, ,1, , ,17V1.1,0,211.5982956,2152.40835,1823850,16,0,14388,14392,9,2025,29.04899979,30.06022263,1.011222839,29.16135788,0.317796679,262.4522209 +14390,MN,394,44,103,28,2001,1,2,10009,L011,9,14,6300,1,3,4A,181 AVENUE C,R7A, , , ,C2-5, , , , , ,N,D7,4,0,P,647 EAST 11 LLC C/O,4295,21328,2000,19328,0,2000,0,0,0,0,2,1,6,30,34,51.75,83,52,80, ,3,N,3,2,196650,3654900,0,0,1910,2011,2010, , ,4.97,4,0,4,1,1003940044,0,28,990550,204037,12c, ,102 030,10203, ,0, ,1,1,1,17V1.1,0,278.2778676,4611.58716,3458250,12,1,14389,14393,21,4725,6.934999943,6.934999943,0,6.934999943,0,145.6349988 +14391,MN,877,42,106,68,3000,2,2,10010,E005,13,14,5300,1,6,1B,39 GRAMERCY PARK NORTH,C1-9A,R9A, , , , , , , , ,Y,D4,3,0, ,39 TENANTS CORP,8588,99238,3099,96139,980,2119,0,0,0,0,2,1,17,90,92,124,99,110,86, ,3,Y,3,2,1291500,10920600,212398,212398,1956,1988,0, , ,11.56,10,2,10,1,1008770042,0,68,988592,208085,8d,Y,102 045,10307, ,0, ,1, , ,17V1.1,0,446.194433,8379.874861,9629100,5,0,14390,14394,38,8550,22.27111053,24.50777817,2.236667633,22.32997021,0.358029423,848.538868 +14392,MN,851,1,105,56,2003,2,2,10010,E014,13,15,5700,1,5,1O,171 5 AVENUE,C6-4M, , , , , , , , , ,N,O4,5,0, ,MICHELANGELO GIIK FLA,8650,183449,183449,0,174500,8949,0,0,0,0,2,1,21,0,23,197.5,85.67,76,194, ,1,Y,1,2,6300000,28140300,0,0,1903,1990,0,Ladies' Mile Historic District,FLATIRON BUILDING,21.21,10,10,10,1,1008510001,0,56,987117,209240,8d, ,104 003,10306, ,0, ,1, , ,17V1.1,0,535.0799731,10029.72895,21840300,2,0,14391,14395,46,10350,41.36999893,41.81000137,0.440002441,41.60133403,0.053111386,1913.661366 +14393,MN,829,36,105,58,1000,2,2,10001,E001,13,15,5700,1,5,1B,236 5 AVENUE,C5-2,M1-6, , , , , , , , ,Y,O6,5,0, ,L C T ASSOCIATES LP,6325,65247,65247,0,59247,6000,0,0,0,0,2,1,11,0,11,56.33,125,56,125, ,3,Y,5,2,1260000,6022350,0,0,1907,1989,0,Madison Square North Historic District, ,10.32,10,10,10,1,1008290036,0,58,987594,210488,8d, ,104 002,10306, ,0, ,1, , ,17V1.1,0,372.5027879,6704.413487,4762350,11,0,14392,14396,28,6300,40.15333176,40.77999878,0.626667023,40.20714133,0.158984327,1125.799957 +14394,MN,696,38,104,99,1037,2,3,10001,E003,10,15,5500,1,4,2B,255 10 AVENUE,C6-3, , , , , ,WCH, , , ,N,C4,2,0,P,500 W25TH OWNER LLC,2963,3000,1800,1200,300,0,1500,0,0,0,2,2,4,6,8,39.5,75,20,39.5, ,3,N,3,0,409950,714150,0,0,1954,0,0, , ,1.01,7.52,6,10,1,1006960038,0,99,983258,212156,8b, ,15S 003,10301,E-142,1006960037,11/23/2016,1, , ,17V1.1,0,235.0512893,3141.397428,304200,2,1,14393,14397,14,3150,11.01688862,11.3760004,0.359111786,11.12666709,0.074190347,155.7733393 +14395,MN,76,6,101,15.02,2001,2,1,10038,E006,1,15,7700,1,1,1B,56 FULTON STREET,C6-4, , , , , ,LM, , , ,N,D7,4,0,P,TERM-FULTON REALTY CO,8537,101542,5865,95677,0,5865,0,0,0,0,2,1,23,120,121,128.98,71.02,127,71, ,3,Y,3,2,3573450,6861762,0,0,2015,2015,0, , ,11.89,10,10,10,1,1000760006,0,1502,982817,197411,12b, ,101S012,10102, ,0, ,1, , ,17V1.1,0,390.9397166,8500.340197,3288310,4,0,14394,14398,38,8550,17.17333412,21.25555611,4.082221985,18.21408232,1.456625107,692.135128 +14396,MN,135,14,101,21,1002,2,1,10007,L010,1,15,7700,1,1,1A,102 CHAMBERS STREET,C6-3A, , , , , ,TMU, , , ,N,C7,4,0, ,CAPE CHURCH ASSOCIATE,6766,200,100,100,0,100,0,0,0,0,2,1,1,12,13,25,175.08,25,175, ,2,Y,3,2,2030850,2075850,0,0,1920,1988,2015, , ,0.03,7.52,6,7.5,1,1001350014,0,21,982035,199596,12b, ,101S018,10104, ,0, ,1, , ,17V1.1,0,462.6503677,7290.326607,45000,3,0,14395,14399,32,7200,30.32666779,32.66199875,2.335330963,32.47651279,0.584720401,1039.248409 +14397,MN,441,7504,103,34,4000,1,2,10009,L011,9,14,6200,4,3, ,435 EAST 13 STREET,C1-6A, , , , , , , , , ,N,RM,4,0, , ,0,97066,20514,76552,0,0,0,0,0,20514,7,1,8,114,115,0,0,0,0, ,0,N,0,5,9154351,9154351,0,0,0,0,0, , ,0,4,2,4,1,1004417504,2640,34,0,0,12c, ,102 028,10205, ,1004410023,12/23/2016,1, , ,17V1.1,7,720.0797513,23539.0349,0,12,0,14396,14400,105,23625,16.39666748,18.32222176,1.925554276,16.44394787,0.277187029,1726.614527 +14398,MN,934,24,106,66,9000,2,2,10016,E016,13,14,5800,1,6,2A,479 1 AVENUE,R8, , , ,C2-5, , , , , ,N,D6,4,0,X,HENRY PHIPPS PLAZA EI,19750,127144,22763,104381,200,9963,12600,0,0,0,2,1,20,204,210,197.5,100,186,102, ,1,N,3,2,1939500,7667100,1939500,7667100,1972,1984,0, , ,6.44,6.02,0,6.5,1,1009340024,0,66,990809,209048,8d, ,104 010,10309, ,0, ,1, , ,17V1.1,0,616.6978162,21762.24864,5727600,11,0,14397,14401,96,21600,18.95444489,27.1566658,8.202220917,22.0169271,3.123323085,2113.625002 +14399,MN,378,7501,103,26.02,1000,1,2,10009,L011,9,14,6700,4,3, ,399 EAST 8 STREET,R8A,R8B, , ,C1-5, , , , , ,Y,R4,3,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,9,30,30,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,6,0,6,1,1003787501,2695,2602,0,0,12c, ,102 023,10202, ,1003780040,1/20/2017,1, ,1,17V1.1,7,329.5637607,4569.01495,0,12,1,14398,14402,21,4725,7.409999847,9.720000267,2.31000042,8.468412626,0.963183685,177.8366652 +14400,MN,564,7503,102,61,3002,2,2,10003,L003,6,15,5700,3,2, ,37 EAST 12 STREET,C6-1, , , , , , , , , ,N,R1,2,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,8,6,6,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,3.44,6,6.5,1,1005647503,2618,61,0,0,12c, ,103 026,10207, ,1005640030,3/10/2017,1, , ,17V1.1,7,285.1617411,3878.437679,0,8,0,14399,14403,15,3375,38.11633301,38.11633301,0,38.11633301,0,571.7449951 +14401,MN,490,7502,102,47,1001,2,3,10012,L008,1,15,6800,1,2, ,10 SULLIVAN STREET,M1-5B, , , , , , , , , ,N,RM,4,0, , ,0,59434,2650,56784,0,2650,0,0,0,0,7,1,16,20,21,0,0,0,0, ,0,N,0,5,665295,20581199,0,0,0,0,0, , ,0,0,5,6.5,1,1004907502,2686,47,983106,203268,12a, ,101N069,10206, ,1004900031,5/4/2016,1, , ,17V1.1,7,570.5493486,8678.962318,19915900,0,0,14400,14404,38,8550,16.01444435,20.72888947,4.714445114,17.51090612,1.450707818,665.4144325 +14402,MN,856,11,105,56,1002,2,2,10010,E001,13,15,5700,1,5,1B,15 EAST 26 STREET,C5-2, , , , , , , , , ,N,O4,5,0,P,15 EAST 26 L.L.C.,16590,140025,140025,0,124025,16000,0,0,0,0,2,1,20,0,13,84,197.5,84,190, ,2,N,4,2,6300000,16165350,0,0,1912,2006,2006,Madison Square North Historic District, ,8.44,10,10,10,1,1008560011,0,56,0,0,8d, , , , ,1008560011,5/13/2008,1, , ,17V1.1,0,585.1694297,17406.25657,9865350,11,0,14401,14405,77,17325,36.07555389,37.68999863,1.614444733,36.74945222,0.223772138,2829.707821 +14403,MN,216,1,101,39,2002,2,1,10013,L010,1,15,7700,1,1,3B,388 GREENWICH STREET,C6-4, , , , , , , , , ,N,O9,5,0,P,"CITIGROUP TECHNOLOGY,",172327,2354290,2354289,0,1593089,1200,0,0,0,0,2,2,39,0,4,409.2,426.43,178,270, ,2,Y,1,2,16198200,256894200,0,0,1989,1988,0, , ,13.66,10,10,10,1,1002160001,0,39,981200,201907,12a, ,101N039,10105, ,1002160001,4/12/2016,1,1,1,17V1.1,0,1660.164798,172248.8405,240696000,14,1,14402,14406,765,172125,8.090000153,15.44333363,7.353333473,10.85696304,1.343949024,8305.576722 +14404,MN,821,62,105,54,1002,2,3,10011,E014,13,15,5700,1,5,1O,32 WEST 20 STREET,C6-4A, , , , , , , , , ,N,D7,4,0, , ,4655,41476,4076,37400,0,4076,0,0,0,0,2,1,11,18,19,50,92,50,75.41, ,1,N,5,1,490500,4837500,0,0,1912,1985,0, , ,8.91,10,10,10,1,1008210062,0,54,986203,208984,8d, ,102 041,10306, ,1008211201,8/8/2016,1, , ,17V1.1,0,299.3165719,5029.841644,4347000,7,0,14403,14407,22,4950,32.91555405,37.15888977,4.243335724,33.463231,1.381649733,736.191082 +14405,MN,132,7,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,77 MURRAY STREET,C6-2A, , , , , ,TMU, , , ,N,U7,7,0,C,NYC TRANSIT,4975,0,0,0,0,0,0,0,0,0,7,1,0,0,0,49.75,100,0,0, ,0,N,5,5,0,0,0,0,0,0,0, , ,0,6.02,6,6.5,1,1001320007,0,21,981295,199727,12b, ,101S015,10104, ,0, ,1, , ,17V1.1,0,313.0303875,5296.701897,0,3,0,14404,14408,24,5400,14.90666676,17.95000076,3.043334007,17.50631018,0.914548229,420.1514444 +14406,MN,132,23,101,21,2004,2,1,10007,L010,1,15,7700,1,1,1A,81 WARREN STREET,C6-2A, , , , , ,TMU, , , ,N,L8,6,0, ,79 WARREN STREET GROU,3744,11870,5650,6220,0,1500,0,0,0,4150,2,1,4,6,7,49.92,75,25,72, ,3,N,5,2,166950,1032300,0,0,1920,0,0, , ,3.17,6.02,6,6.5,1,1001320023,0,21,981353,199800,12b, ,101S015,10104, ,1001320023,1/27/2016,1, , ,17V1.1,0,203.9577466,1911.241742,865350,3,0,14405,14409,9,2025,17.78899956,19.25,1.461000443,17.95133294,0.459148142,161.5619965 +14407,MN,644,51,102,79,1009,2,3,10014,L005,6,15,6100,1,2,3B,12 LITTLE WEST 12 ST,M1-5, , , , , , , , , ,N,K4,4,0, ,LITTLE WEST 12TH STRE,4723,8920,5680,3240,1640,4040,0,0,0,0,2,4,3,3,8,61,77.42,61,40, ,3,N,5,2,194850,2324700,0,0,1899,0,0,Gansevoort Market Historic District, ,1.89,0,5,6.5,1,1006440051,0,79,982328,208756,8b, ,103 039,10210, ,1006440051,12/13/2016,1, , ,17V1.1,0,279.9000856,4814.080492,2129850,8,0,14406,14410,22,4950,13.47799969,16.59777832,3.119778633,14.18084825,1.096665272,311.9786615 +14408,MN,176,1,101,33,2008,2,1,10013,E007,1,15,7700,1,1,3A,57 WORTH STREET,C6-4, , , , , , , , , ,N,W6,8,0,P,NEW YORK LAW SCHOOL,5080,60610,60610,0,60610,0,0,0,0,0,2,1,9,0,3,50.67,100,51,100, ,3,Y,3,2,1129500,5961600,1129500,5961600,1928,1985,0, , ,11.93,10,10,10,1,1001760001,0,33,982498,200628,12a, ,101S036,10105, ,0, ,1, , ,17V1.1,0,313.9924844,5539.460641,4832100,14,0,14407,14411,25,5625,14.40400028,14.40400028,0,14.40400028,0,360.1000071 +14409,MN,564,7,102,61,3002,2,2,10003,L003,6,15,5700,1,2,3A,113 UNIVERSITY PLACE,C1-7,C6-1, , , , , , , , ,Y,O6,5,0, ,AMALITHONE REALTY COR,5200,57739,57739,0,52239,5500,0,0,0,0,2,1,11,0,11,52,100,52,100, ,2,Y,3,2,1426500,6636150,0,0,1940,1988,1964, , ,11.1,6.02,2,6.5,1,1005640007,0,61,986440,206799,12c, ,103 026,10207, ,0, ,1, , ,17V1.1,0,313.360901,5556.276185,5209650,8,0,14408,14412,25,5625,38.11633301,40.54333496,2.427001953,38.3970665,0.631993401,959.9266624 +14410,MN,203,26,102,41,2002,2,1,10013,L006,5,15,6800,1,2,1F,70 BOWERY,C6-1G,C6-2G, , , , ,LI, , , ,Y,O5,5,0,P,NEW YORK JEWELERS EXH,7213,28500,28500,0,21287,7213,0,0,0,0,2,1,5,0,85,50,145,50,135,E,3,N,5,2,1062000,5364450,0,0,1920,1990,0, , ,3.95,3.44,6,6.5,1,1002030026,0,41,985293,200400,12c, ,101N049,10105, ,0, ,1, , ,17V1.1,0,376.671372,6952.297547,4302450,0,0,14409,14413,30,6750,40.21222305,40.21222305,0,40.21222305,0,1206.366692 +14411,MN,833,6,105,76,1006,2,3,10001,L024,14,15,5200,1,5,1A,1255 BROADWAY,C6-6, , , , , ,MID, , , ,N,O6,5,0, ,1255-1261 BROADWAY LL,10872,120882,120882,0,109693,11189,0,0,0,0,2,1,11,0,54,84.33,138.17,85,165, ,3,Y,3,2,4590000,12590100,0,0,1909,1987,0, , ,11.12,10,15,15,1,1008330006,0,76,987402,211750,8d, ,104 016,10306, ,0, ,1, , ,17V1.1,0,502.1582839,12573.89445,8000100,6,0,14410,14414,54,12150,43.20999908,43.33933258,0.129333496,43.25039609,0.016806018,2335.521389 +14412,MN,719,29,104,89,4000,2,3,10011,E003,10,15,5600,1,4,1B,421 WEST 21 STREET,R7B, , , , , , , , , ,N,D1,3,0, ,421 WEST 21ST STREET,6750,26800,0,26800,0,0,0,0,0,0,2,1,6,36,36,65,104.5,65,80, ,3,Y,5,2,271800,2043900,0,0,1950,1989,0,Chelsea Historic District, ,3.97,3,0,3,1,1007190029,0,89,983380,211004,8b, ,103 042,10302, ,0, ,1, , ,17V1.1,0,343.8327031,6949.563191,1772100,7,1,14411,14415,31,6975,9.307999611,15.60333347,6.295333862,9.802099997,1.532858151,303.8650999 +14413,MN,394,7506,103,28,2001,1,2,10009,L011,9,14,6300,4,3, ,189 AVENUE C,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,3853,29797,2616,29357,0,2616,0,0,0,0,2,1,10,35,37,0.08,0,0,0, ,3,Y,0,5,173258,4989155,0,1931564,1910,2006,0, , ,7.73,4,0,4,1,1003947506,2501,28,990610,204146,12c, ,102 030,10203, ,1003940036,4/22/2016,1,1,1,17V1.1,7,327.0304867,3830.428678,4815900,12,1,14412,14416,16,3600,6.934999943,8.050000191,1.115000248,7.004687458,0.269898587,112.0749993 +14414,MN,882,7502,105,68,1001,2,2,10016,E016,13,14,5300,1,5, ,90 LEXINGTON AVENUE,C6-2A, , , , , , , , , ,N,R4,3,0, , ,0,84285,0,84285,0,0,0,0,0,0,7,1,14,53,53,0,0,0,0, ,0,N,0,5,2745005,17375710,0,0,0,0,0, , ,0,6.02,6,6.5,1,1008827502,2677,68,988871,209590,8d, ,104 006,10307, ,1008820069,7/8/2016,1, , ,17V1.1,7,411.298227,10570.589,14630700,11,0,14413,14417,47,10575,33.31333542,34.34222031,1.028884888,33.86352734,0.111625406,1591.585785 +14415,MN,402,7503,103,32,7002,1,2,10009,L011,9,14,6600,3,3, ,100 AVENUE A,R7A, , , ,C2-5, , , , , ,N,RM,4,0, , ,0,0,0,0,0,0,0,0,0,0,5,1,8,32,33,0,0,0,0, ,0,N,0,5,0,0,0,0,0,0,0, , ,0,4,0,4,1,1004027503,2737,32,0,0,12c, ,102 021,10203, ,1004020003,1/27/2017,1, , ,17V1.1,7,367.0521068,8180.528985,0,12,0,14414,14418,36,8100,12.85000038,17.84111214,4.991111755,13.28166702,1.251438202,478.1400127 +14416,MN,204,7502,102,41,3002,2,1,10013,L006,5,15,6800,1,2, ,53 ELIZABETH STREET,C6-2G, , , , , ,LI, , , ,N,RB,5,0, , ,0,26575,26575,0,26354,0,0,221,0,0,7,1,7,0,16,0,0,0,0, ,3,N,0,5,321748,2433599,0,0,0,0,0, , ,0,6.02,6,6.5,1,1002047502,2540,41,0,0,12c, ,11N 049,10105, ,1002040020,12/9/2016,1, , ,17V1.1,7,291.9480289,4824.768869,2111850,0,0,14415,14419,21,4725,36.00444412,36.00444412,0,36.00444412,0,756.0933266 +14417,MN,228,7504,102,47,2008,2,1,10013,L008,1,15,6800,1,2, ,325 WEST BROADWAY,M1-5A,M1-5B, , , , , , , , ,Y,RM,4,0, , ,0,50977,3122,47855,0,3122,0,0,0,0,7,2,10,21,23,0,0,0,0, ,0,N,0,5,551708,6183203,0,0,0,0,0, , ,0,0,5,6.5,1,1002287504,2674,47,0,0,12a, ,101N045,10105, ,1002280020,12/23/2016,1,1,1,17V1.1,7,537.7478978,11454.06202,5631500,0,1,14416,14420,50,11250,9.686666489,9.686666489,0,9.686666489,0,484.3333244 +14418,MN,859,72,105,74,3002,2,4,10016,E001,14,15,5200,1,5,1A,112 MADISON AVENUE,C5-2, , , , , , , , , ,N,O6,5,0,P,112 MADISON REALTY CO,7037,88560,88560,0,82060,6500,0,0,0,0,2,1,12,0,11,74.08,95,74,95, ,0,N,3,2,4500000,10078650,0,0,1912,0,0, , ,12.58,10,10,10,1,1008590072,0,74,988359,210772,8d, ,104 017,10306, ,0, ,1, , ,17V1.1,0,358.8709938,7919.080385,5578650,10,0,14417,14421,36,8100,37.50888824,38.0027771,0.493888855,37.86973879,0.092954152,1363.310596 +14419,MN,799,3,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,229 7 AVENUE,C6-3X,M1-6, , , , , , , , ,Y,D9,3,0,P,GS CHELSEA PROPERTY O,19675,212134,16360,195774,1440,11920,3000,0,0,0,2,3,19,204,214,154,150,140,99,E,2,Y,3,2,5310000,39412800,0,0,1987,1998,0, , ,10.78,9,6,9,1,1007990003,0,91,985641,210466,8d, ,15S 011,10305,E-54,1007990003,10/9/2015,1, , ,17V1.1,0,655.3824336,18648.02252,34102800,2,0,14418,14422,83,18675,29.26199913,34.64333344,5.381334305,29.58790283,1.057790809,2455.795935 +14420,MN,799,9,104,91,1003,2,3,10011,E001,13,15,5200,1,4,2A,163 WEST 23 STREET,C6-3X,M1-6, , , , , , , , ,Y,L8,6,0, ,NORTH HUDSON REALTYCO,3150,16996,16996,0,0,2000,0,14996,0,0,2,1,6,0,4,28,112.5,28,102,E,3,N,5,2,499500,860850,0,0,1931,0,0, , ,5.4,9,6,9,1,1007990009,0,91,985669,210373,8d, ,105S011,10305, ,0, ,1, , ,17V1.1,0,287.0672371,3012.852763,361350,2,0,14419,14423,13,2925,29.26199913,32.89666748,3.63466835,29.541589,0.968527731,384.040657 +14421,MN,142,25,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3A,310 GREENWICH STREET,C6-4, , , , , , , , , ,N,D6,4,0,P,IP MORTGAGE BORROWER,186631,1970736,258866,1711870,0,28866,230000,0,0,0,2,10,39,1328,1349,406.74,231.55,203,148, ,0,Y,3,5,16199550,132003000,0,0,1975,0,0, , ,10.56,10,10,10,1,1001420025,0,39,981150,200888,12a, ,101S037,10104, ,0, ,1, , ,17V1.1,4,2764.873787,187971.1567,115803000,14,1,14420,14424,832,187200,11.73333359,17.47999954,5.746665955,14.48800102,0.631282708,12054.01685 +14422,MN,605,47,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,92 BARROW STREET,R6, , , , , , , , , ,N,A4,1,0, ,THE BOARD OF MANAGERS,1339,3228,0,2580,0,0,0,0,0,0,2,1,3,1,1,20,67,20,43, ,3,N,5,1,81826,342328,0,0,1910,0,0,Greenwich Village Historic District, ,2.41,2.43,0,4.8,1,1006050047,0,69,982269,205961,12a, ,103 002,10208, ,1006050047,2/5/2015,1, , ,17V1.1,4,177.107313,1378.855886,260502,9,0,14421,14425,5,1125,16.25555611,18.25666618,2.001110077,17.01533356,0.932752426,85.07666779 +14423,MN,605,46,102,69,1000,2,3,10014,E024,6,15,6400,1,2,2B,90 BARROW STREET,R6, , , , , , , , , ,N,A4,1,0, ,CHURCH OF ST LUKES,1288,3360,0,2580,0,0,0,0,0,0,2,1,3,1,1,20,65,20,43,E,3,N,5,1,59305,281534,0,0,1910,0,0,Greenwich Village Historic District, ,2.61,2.43,0,4.8,1,1006050046,0,69,982282,205958,12a, ,103 002,10208, ,1006050046,2/5/2015,1, , ,17V1.1,4,171.3623256,1312.740222,222229,9,0,14422,14426,4,900,16.25555611,18.25333214,1.997776031,17.01083326,0.830142208,68.04333305 +14424,MN,142,50,101,39,3000,2,1,10013,L010,1,15,7700,1,1,3B,208 WEST STREET,C6-4, , , , , , , , , ,N,W5,8,0,O,BMCC PERFORMING ARTS,223935,780000,780000,0,0,0,0,0,0,780000,2,1,8,0,1,1069,199,471,207, ,0,Y,3,5,30231450,102778200,30231450,102778200,1980,0,0, , ,3.48,10,10,10,1,1001420050,0,39,980924,200887,12a, ,101S037,10104, ,0, ,1,1,1,17V1.1,4,2845.138501,209110.1375,72546800,14,1,14423,14427,930,209250,8.48777771,14.25300026,5.765222549,13.76271613,1.514629754,12799.326 +14425,MN,190,7503,101,33,3014,2,1,10013,E007,1,15,7700,3,1, ,31 NORTH MOORE STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,13750,82955,14926,68029,0,3226,4384,0,0,7316,2,2,8,23,27,0.31,0,54.08,175.25, ,0,N,0,5,1060203,10260902,45220,45220,1915,0,0,Tribeca West Historic District, ,6.03,6.02,6,6.5,1,1001907503,956,33,982135,201612,12a, ,102 014,10105, ,0, ,1, , ,17V1.1,3,577.5578851,14189.30252,9200700,14,0,14424,14428,63,14175,15.75599957,16.04955673,0.293557167,15.7606592,0.036690023,992.9215298 +14426,MN,384,7502,103,22.02,1002,1,2,10009,L018,9,14,7600,3,3, ,211 EAST 2 STREET,R8A, , , , , , , , , ,N,RM,4,0, , ,3180,13262,200,13062,0,0,200,0,0,0,2,2,6.5,8,9,40,79.5,40,76, ,0,N,0,5,37751,821164,7072,7080,1905,2003,2003, , ,4.17,6,0,6,1,1003847502,1587,2202,988912,202208,12c, ,102 005,10203, ,1003840010,12/12/2006,1, , ,17V1.1,3,244.2345424,3243.927806,783413,1,0,14425,14429,14,3150,18.08333397,20.36100006,2.277666092,18.52356393,0.854768278,259.329895 +14427,MN,62,7501,101,13,1006,2,1,10006,E010,1,15,7700, ,1, ,1 LIBERTY PLAZA,C5-5, , , , , ,LM, , , ,N,RB,5,0, ,ONE LIBERTY PLAZA CON,95348,1690747,1690747,0,1690747,0,0,0,0,0,2,1,54,0,17,226.11,315.44,0,0, ,0,Y,0,5,69749998,280166849,7480686,30047895,1973,0,0, , ,17.73,10,15,15,1,1000627501,1178,13,981129,197663,12b, ,11S 010,10102, ,1000620001,3/8/2001,1, , ,17V1.1,3,1831.276476,96743.94341,210416992,3,0,14426,14430,426,95850,22.0755558,34.69777679,12.62222099,28.04850821,2.330825712,11948.6645 +14428,MN,637,7504,102,75,1001,2,3,10014,L005,6,15,6400,2,2, ,176 PERRY STREET,C1-7, , , , , , , , , ,N,RM,4,0, , ,14219,79123,2342,76781,0,2342,0,0,0,0,2,2,15,23,25,92.79,96.54,60,90, ,0,Y,0,5,4603502,11617200,2360,2360,2001,0,0, , ,5.56,6.02,2,6.5,1,1006377504,1229,75,981558,206845,12a, ,103 011,10210, ,0, ,1,1,1,17V1.1,3,689.7698672,14809.79396,7013700,9,1,14427,14431,66,14850,7.427777767,10.04599953,2.61822176,9.677720164,0.694856908,638.7295308 +14429,MN,896,7501,106,48,4000,2,2,10003,E005,13,14,5900,1,6, ,240 EAST 15 STREET,R7B, , , , , ,TA, , , ,N,R2,2,0, ,THE STUYVESANT PARK C,2659,17300,0,17300,0,0,0,0,0,0,2,2,4,16,16,26,103.25,26,88,E,0,N,0,5,91799,2249550,9440,9440,1920,0,0,Stuyvesant Square Historic District, ,6.51,3,0,3,1,1008967501,1788,48,988385,206346,12c, ,102 036,10308, ,0, ,1, , ,17V1.1,3,312.8502209,5439.841722,2157750,5,0,14428,14432,24,5400,26.69333267,28.36777687,1.674444199,26.81261047,0.366474519,643.5026512 +14430,MN,135,7503,101,21,1002,2,1,10007,L010,1,15,7700,1,1, ,8 WARREN STREET,C6-3A,C5-3, , , , ,TMU, , , ,Y,RM,4,0, ,THE TRINITY STEWART C,5040,38089,4724,33365,0,4400,324,0,0,0,2,1,10,14,15,50.25,100.35,50.25,94.71, ,0,N,0,5,360000,5122351,0,0,1860,2005,2005, , ,7.56,7.52,6,7.5,1,1001357503,1162,21,982250,199437,12b, ,11S 008,10104, ,1001350003,11/29/2000,1, , ,17V1.1,3,306.5763475,5135.918802,4762350,3,0,14429,14433,23,5175,32.66199875,32.66199875,0,32.66199875,0,751.2259712 +14431,MN,620,7502,102,73,1002,2,3,10014,L005,6,15,6400,2,2, ,225 WEST 10 STREET,C1-6, , , , , , , , , ,N,RM,4,0, ,THE AMOS ST.CONDOMINU,2450,19844,1441,18403,0,1441,0,0,0,0,2,2,5,40,43,27.08,195.25,27,86, ,0,Y,0,5,540004,2562304,16520,16520,1893,0,0,Greenwich Village Historic District, ,8.1,3.44,2,6.5,1,1006207502,1459,73,982807,206740,12a, ,103 012,10210, ,0, ,1, , ,17V1.1,3,332.3836574,5612.401932,2022300,9,0,14430,14434,25,5625,22.63400078,26.3599987,3.725997925,23.23906715,1.227434066,580.9766788 +14432,MN,721,7501,104,93,4000,2,3,10011,E003,10,15,5200,2,4, ,465 WEST 23 STREET,R8A, , , ,C2-5,C1-5, , , , ,Y,RM,4,0, ,LONDON TERRACE TOWERS,49375,715867,98902,616965,11998,83831,0,0,0,3073,2,2,19,702,731,1.13,0,0,0, ,0,N,5,5,6094348,90095402,936659,2252053,1932,1983,0, , ,14.5,6,0,6,1,1007217501,443,93,983263,211754,8b,Y,105S005,10302, ,1007210999,2/8/1988,1, ,1,17V1.1,3,1326.928019,51926.7492,84001104,2,1,14431,14435,229,51525,10.40888882,15.83666706,5.427778244,11.81982258,0.548216447,2706.73937 +14433,MN,500,7505,102,49,1006,2,1,10012,L020,1,15,6800,1,2, ,103 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,43371,10822,32549,0,6108,0,4714,0,0,2,1,7,12,14,75,100,75,100, ,0,N,0,5,1044000,12797551,42860,42860,1879,2001,0,SoHo-Cast Iron Historic District, ,5.78,0,5,6.5,1,1005007505,1241,49,984231,203240,12c, ,11N 072,10206, ,1005000026,7/26/2016,1, , ,17V1.1,3,357.0406077,7801.469144,11753600,0,0,14432,14436,36,8100,17.84111023,21.4659996,3.624889374,21.03225883,1.14297425,757.1613178 +14434,MN,451,7502,103,40,4000,1,2,10003,L011,9,14,6200,4,3, ,240 EAST 10 STREET,R8B,R7A, , ,C1-5, , , , , ,Y,RM,4,0, , ,17441,76583,25652,50931,0,0,0,0,0,25652,2,3,15,35,36,97,92.37,0,0, ,0,Y,0,5,2747246,7871062,831523,1797278,1999,0,0, , ,4.39,4,0,4,1,1004517502,1231,40,988326,204835,12c, ,102 019,10205, ,1004510026,12/12/2002,1, , ,17V1.1,3,648.454589,17958.24075,5123820,12,0,14433,14437,81,18225,23.10400009,26.10222244,2.998222351,23.23768182,0.505942471,1882.252228 +14435,MN,849,7504,105,52,1000,2,2,10003,E014,13,15,5700,1,5, ,260 PARK AVENUE SOUTH,C6-4A,M1-5M, , , , , , , , ,Y,RM,4,0, , ,18400,185471,20318,165153,0,15169,0,5149,0,0,2,1,12,109,113,175,184,92,175, ,3,Y,0,5,6079502,28810346,113701,365390,1913,2004,0,Ladies' Mile Historic District, ,10.08,10,10,10,1,1008497504,1493,52,987646,208463,8d, ,102 043,10306, ,1008490043,3/14/2006,1, , ,17V1.1,3,740.1056332,19610.38611,22730800,5,0,14434,14438,88,19800,34.69888687,35.5,0.801113129,34.72957386,0.142941193,3056.202499 +14436,MN,506,7501,102,37,3001,2,3,10014,E024,1,15,6800,1,2, ,160 VARICK STREET,M1-6,R6, , , , ,HSQ, , , ,Y,RB,5,0, , ,23365,311477,311477,0,294741,16736,0,0,0,0,2,1,12,0,45,200.12,134.65,200,134, ,0,Y,3,5,5256000,29656800,1314000,7414200,1927,0,0, , ,13.33,0,10,10,1,1005067501,1696,37,982803,204112,12a, ,11N 068,10206, ,1005060007,3/5/2009,1, , ,17V1.1,3,685.0784662,24420.77952,24400800,0,0,14435,14439,107,24075,20.05333328,20.8567791,0.803445816,20.62077752,0.062345512,2206.423195 +14437,MN,500,7506,102,49,1006,2,1,10012,L020,1,15,6800,1,2, ,107 GREENE STREET,M1-5A, , , , , , , , , ,N,RM,4,0, , ,7500,39207,7838,31369,0,7838,0,0,0,0,2,3,7,15,19,75,100,75,88, ,0,N,5,5,1352250,9964351,2360,2360,1879,0,0,SoHo-Cast Iron Historic District, ,5.23,0,5,6.5,1,1005007506,1439,49,984268,203297,12c, ,11N 072,10206, ,0, ,1, , ,17V1.1,3,350.9752169,7491.767639,8612100,0,0,14436,14440,33,7425,17.84111023,21.89977837,4.058668137,21.14960902,1.04887001,697.9370975 +14438,MN,621,7502,102,73,5001,2,3,10014,L005,6,15,6400,2,2, ,367 BLEECKER STREET,C1-6, , , , , , , , , ,N,RM,4,0, , ,2042,11499,4583,6916,0,1718,0,2865,0,0,2,2,5,5,6,49,41.67,49,42, ,3,N,0,5,107346,1024982,0,0,1905,0,0,Greenwich Village Historic District, ,5.63,3.44,2,6.5,1,1006217502,1610,73,982969,206976,12a, ,103 015,10210, ,1006210033,1/8/2007,1, , ,17V1.1,3,191.9614836,2287.638849,917636,8,0,14437,14441,10,2250,24.81222343,24.81222343,0,24.81222343,0,248.1222343 +14439,MN,217,7504,101,39,1018,2,1,10013,L008,1,15,7700,3,1, ,401 WASHINGTON STREET,C6-2A, , , , , ,TMU, , , ,N,RM,4,0, , ,19936,99251,3890,95361,0,3890,0,0,0,0,2,2,7,33,34,125,160,125,160, ,0,N,0,5,1000351,11803636,0,0,1915,0,0, , ,4.98,6.02,6,6.5,1,1002177504,2571,39,981376,202295,12a, ,101N039,10105, ,1002170014,5/1/2015,1,1,1,17V1.1,3,585.6324977,21143.68331,10803300,14,1,14438,14442,93,20925,7.73111105,10.6511116,2.920000553,7.773775331,0.318851414,722.9611058 +14440,MN,583,37,102,67,4004,2,3,10014,E024,6,15,6400,1,2,1B,30 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,Z9, ,0, ,EB PROPERTY MANAGEMEN,51,50,50,0,0,50,0,0,0,0,2,1,1,0,1,11.83,8.67,0,0, ,0,Y,8,5,4950,9000,0,0,1995,0,0,Greenwich Village Historic District, ,0.98,3.44,2,6.5,1,1005830037,0,67,0,0,12a, ,103 003,10208, ,0, ,1, , ,17V1.1,0,29.40438839,37.5537863,4050,9,0,0,0,0,0,0,0,0,0,0,0 +14441,MN,613,66,102,71,4001,2,3,10014,Q018,6,15,6100,1,2,2K,182 7 AVENUE SOUTH,C2-6, , , , , , , , , ,N,K1,5,0, ,FOTINI THEOHARIDOU,35,35,35,0,0,35,0,0,0,0,2,1,1,0,1,12.5,7,12.5,7, ,2,Y,5,0,9900,29250,0,0,1920,0,0,Greenwich Village Historic District, ,1,3.44,2,6.5,1,1006130066,0,71,983811,207457,12a, ,103 015,10209, ,0, ,1, , ,17V1.1,0,30.56749848,38.56988904,19350,8,0,0,0,0,0,0,0,0,0,0,0 +14442,MN,651,11,102, , ,2,3,10014,L005,6,15,0, , , ,46 MARGINAL STREET,M2-3, , , , , , , , , ,N,T2,7,0,O,NYS DOT,289675,83700,83700,0,0,0,83700,0,0,0,2,1,2,0,1,352.42,837,100,837, ,0,Y,2,5,4500000,5674050,4500000,5674050,1900,0,0, , ,0.29,0,2,0,1,1006510011,0,0,0,0,12a, ,103 047,10210, ,0, ,1,1,1,17V1.1,0,86.39077094,24.59084634,1174050,9,1,0,0,0,0,0,0,0,0,0,0 diff --git a/Roughness.csv b/Roughness.csv index e44ffa19..f70dd372 100644 --- a/Roughness.csv +++ b/Roughness.csv @@ -1,19 +1,19 @@ -Div18,Target Area (sqm),Target (sqft),Building Area,Road Area,Density - Bldg,Density - Road,Roughness,Roughness0.03,Slope, -0,1398696.1,15055424.7,6440911.41,3490961.536,0.4278,0.2319,0.1748,0.1850,0.01000,0.01000 -1,1241888.9,13367568.2,3772975.06,2599454.703,0.2822,0.1945,0.116,0.1317,0.00111,0.00111 -2,1171097.2,12605572.7,5170077.35,2688469.267,0.4101,0.2133,0.1675,0.1788,0.00010,0.00010 -3,706382,7603425.2,2519300.52,1540184.5,0.3313,0.2026,0.1358,0.1498,0.01000,0.01000 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+17,339949.3,3659179.8,1266461.9,877518.3636,0.3461,0.2398,0.1423,0.1547,0.00010,0.00010 diff --git a/SurgeData/0-num_storm.csv b/SurgeData/0-num_storm.csv new file mode 100644 index 00000000..da76fcdc --- /dev/null +++ b/SurgeData/0-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,4.0,7.0 +2022,0.0,3.0 +2023,1.0,4.0 +2024,1.0,6.0 +2025,1.0,0.0 +2026,2.0,5.0 +2027,2.0,0.0 +2028,2.0,5.0 +2029,4.0,1.0 +2030,2.0,5.0 +2031,4.0,4.0 +2032,0.0,4.0 +2033,2.0,6.0 +2034,4.0,8.0 +2035,2.0,2.0 +2036,0.0,5.0 +2037,2.0,2.0 +2038,1.0,3.0 +2039,1.0,4.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,2.0,1.0 +2043,2.0,6.0 +2044,1.0,6.0 +2045,5.0,1.0 +2046,1.0,0.0 +2047,1.0,9.0 +2048,0.0,6.0 +2049,3.0,2.0 +2050,3.0,3.0 +2051,1.0,5.0 +2052,1.0,4.0 +2053,2.0,4.0 +2054,2.0,3.0 +2055,2.0,3.0 +2056,1.0,3.0 +2057,4.0,6.0 +2058,1.0,7.0 +2059,2.0,9.0 +2060,2.0,3.0 +2061,3.0,5.0 +2062,3.0,6.0 +2063,2.0,5.0 +2064,1.0,2.0 +2065,2.0,8.0 +2066,3.0,3.0 +2067,1.0,4.0 +2068,1.0,5.0 +2069,4.0,7.0 +2070,1.0,4.0 +2071,0.0,3.0 +2072,4.0,4.0 +2073,0.0,3.0 +2074,2.0,4.0 +2075,1.0,1.0 +2076,0.0,1.0 +2077,1.0,8.0 +2078,1.0,4.0 +2079,0.0,6.0 +2080,2.0,3.0 +2081,0.0,3.0 +2082,1.0,4.0 +2083,0.0,4.0 +2084,0.0,2.0 +2085,3.0,3.0 +2086,2.0,7.0 +2087,0.0,2.0 +2088,0.0,9.0 +2089,3.0,4.0 +2090,2.0,4.0 +2091,1.0,5.0 +2092,3.0,3.0 +2093,2.0,3.0 +2094,1.0,0.0 +2095,1.0,6.0 +2096,0.0,6.0 +2097,1.0,12.0 +2098,2.0,9.0 +2099,3.0,6.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/0-peak+year_c.csv b/SurgeData/0-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/0-peak+year_c.csv rename to SurgeData/0-peak+year_c.csv diff --git a/SurgeData/N=1000/0-peak+year_w.csv b/SurgeData/0-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/0-peak+year_w.csv rename to SurgeData/0-peak+year_w.csv diff --git a/SurgeData/N=1000/0-peak_c.csv b/SurgeData/0-peak_c.csv similarity index 100% rename from SurgeData/N=1000/0-peak_c.csv rename to SurgeData/0-peak_c.csv diff --git a/SurgeData/N=1000/0-peak_w.csv b/SurgeData/0-peak_w.csv similarity index 100% rename from SurgeData/N=1000/0-peak_w.csv rename to SurgeData/0-peak_w.csv diff --git a/SurgeData/N=1000/0-surge_c.csv b/SurgeData/0-surge_c.csv similarity index 100% rename from SurgeData/N=1000/0-surge_c.csv rename to SurgeData/0-surge_c.csv diff --git a/SurgeData/N=1000/0-surge_w.csv b/SurgeData/0-surge_w.csv similarity index 100% rename from SurgeData/N=1000/0-surge_w.csv rename to SurgeData/0-surge_w.csv diff --git a/SurgeData/N=1000/0-time_c.csv b/SurgeData/0-time_c.csv similarity index 100% rename from SurgeData/N=1000/0-time_c.csv rename to SurgeData/0-time_c.csv diff --git a/SurgeData/N=1000/0-time_w.csv b/SurgeData/0-time_w.csv similarity index 100% rename from SurgeData/N=1000/0-time_w.csv rename to SurgeData/0-time_w.csv diff --git a/SurgeData/N=1000/0-waterlevel_c.csv b/SurgeData/0-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/0-waterlevel_c.csv rename to SurgeData/0-waterlevel_c.csv diff --git a/SurgeData/N=1000/0-waterlevel_w.csv b/SurgeData/0-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/0-waterlevel_w.csv rename to SurgeData/0-waterlevel_w.csv diff --git a/SurgeData/1-num_storm.csv b/SurgeData/1-num_storm.csv new file mode 100644 index 00000000..361afd90 --- /dev/null +++ b/SurgeData/1-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,5.0 +2022,1.0,8.0 +2023,0.0,5.0 +2024,5.0,3.0 +2025,1.0,5.0 +2026,4.0,7.0 +2027,2.0,3.0 +2028,3.0,1.0 +2029,1.0,3.0 +2030,3.0,1.0 +2031,2.0,5.0 +2032,1.0,8.0 +2033,0.0,4.0 +2034,2.0,2.0 +2035,3.0,1.0 +2036,2.0,3.0 +2037,0.0,1.0 +2038,0.0,5.0 +2039,1.0,6.0 +2040,0.0,3.0 +2041,0.0,7.0 +2042,2.0,4.0 +2043,3.0,4.0 +2044,1.0,3.0 +2045,0.0,4.0 +2046,0.0,6.0 +2047,0.0,6.0 +2048,6.0,4.0 +2049,0.0,6.0 +2050,1.0,4.0 +2051,0.0,3.0 +2052,2.0,2.0 +2053,1.0,4.0 +2054,2.0,1.0 +2055,1.0,1.0 +2056,2.0,5.0 +2057,2.0,5.0 +2058,2.0,6.0 +2059,1.0,4.0 +2060,3.0,2.0 +2061,1.0,3.0 +2062,2.0,4.0 +2063,2.0,4.0 +2064,0.0,4.0 +2065,2.0,4.0 +2066,5.0,2.0 +2067,1.0,4.0 +2068,0.0,6.0 +2069,0.0,3.0 +2070,2.0,2.0 +2071,3.0,6.0 +2072,2.0,4.0 +2073,1.0,5.0 +2074,0.0,3.0 +2075,1.0,6.0 +2076,0.0,4.0 +2077,2.0,5.0 +2078,2.0,5.0 +2079,2.0,5.0 +2080,1.0,0.0 +2081,5.0,5.0 +2082,0.0,1.0 +2083,1.0,5.0 +2084,3.0,6.0 +2085,3.0,6.0 +2086,1.0,5.0 +2087,0.0,6.0 +2088,1.0,2.0 +2089,0.0,4.0 +2090,1.0,2.0 +2091,0.0,4.0 +2092,2.0,4.0 +2093,5.0,2.0 +2094,2.0,5.0 +2095,0.0,2.0 +2096,2.0,8.0 +2097,2.0,0.0 +2098,0.0,2.0 +2099,0.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/1-peak+year_c.csv b/SurgeData/1-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/1-peak+year_c.csv rename to SurgeData/1-peak+year_c.csv diff --git a/SurgeData/N=1000/1-peak+year_w.csv b/SurgeData/1-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/1-peak+year_w.csv rename to SurgeData/1-peak+year_w.csv diff --git a/SurgeData/N=1000/1-peak_c.csv b/SurgeData/1-peak_c.csv similarity index 100% rename from SurgeData/N=1000/1-peak_c.csv rename to SurgeData/1-peak_c.csv diff --git a/SurgeData/N=1000/1-peak_w.csv b/SurgeData/1-peak_w.csv similarity index 100% rename from SurgeData/N=1000/1-peak_w.csv rename to SurgeData/1-peak_w.csv diff --git a/SurgeData/N=1000/1-surge_c.csv b/SurgeData/1-surge_c.csv similarity index 100% rename from SurgeData/N=1000/1-surge_c.csv rename to SurgeData/1-surge_c.csv diff --git a/SurgeData/N=1000/1-surge_w.csv b/SurgeData/1-surge_w.csv similarity index 100% rename from SurgeData/N=1000/1-surge_w.csv rename to SurgeData/1-surge_w.csv diff --git a/SurgeData/N=1000/1-time_c.csv b/SurgeData/1-time_c.csv similarity index 100% rename from SurgeData/N=1000/1-time_c.csv rename to SurgeData/1-time_c.csv diff --git a/SurgeData/N=1000/1-time_w.csv b/SurgeData/1-time_w.csv similarity index 100% rename from SurgeData/N=1000/1-time_w.csv rename to SurgeData/1-time_w.csv diff --git a/SurgeData/N=1000/1-waterlevel_c.csv b/SurgeData/1-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/1-waterlevel_c.csv rename to SurgeData/1-waterlevel_c.csv diff --git a/SurgeData/N=1000/1-waterlevel_w.csv b/SurgeData/1-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/1-waterlevel_w.csv rename to SurgeData/1-waterlevel_w.csv diff --git a/SurgeData/10-num_storm.csv b/SurgeData/10-num_storm.csv new file mode 100644 index 00000000..fd00ba83 --- /dev/null +++ b/SurgeData/10-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,2.0 +2021,1.0,3.0 +2022,2.0,4.0 +2023,1.0,4.0 +2024,2.0,3.0 +2025,3.0,4.0 +2026,1.0,3.0 +2027,1.0,1.0 +2028,2.0,5.0 +2029,0.0,1.0 +2030,2.0,5.0 +2031,4.0,5.0 +2032,2.0,5.0 +2033,1.0,4.0 +2034,2.0,2.0 +2035,2.0,4.0 +2036,2.0,5.0 +2037,4.0,8.0 +2038,1.0,2.0 +2039,4.0,6.0 +2040,0.0,6.0 +2041,1.0,2.0 +2042,0.0,9.0 +2043,1.0,3.0 +2044,0.0,5.0 +2045,1.0,5.0 +2046,1.0,5.0 +2047,0.0,4.0 +2048,2.0,4.0 +2049,1.0,2.0 +2050,1.0,4.0 +2051,0.0,4.0 +2052,1.0,3.0 +2053,1.0,3.0 +2054,0.0,4.0 +2055,2.0,4.0 +2056,1.0,3.0 +2057,0.0,6.0 +2058,3.0,8.0 +2059,0.0,4.0 +2060,1.0,3.0 +2061,1.0,3.0 +2062,4.0,5.0 +2063,1.0,3.0 +2064,2.0,7.0 +2065,0.0,4.0 +2066,2.0,3.0 +2067,3.0,5.0 +2068,1.0,1.0 +2069,1.0,4.0 +2070,2.0,2.0 +2071,3.0,9.0 +2072,1.0,6.0 +2073,3.0,5.0 +2074,0.0,3.0 +2075,3.0,9.0 +2076,0.0,3.0 +2077,2.0,5.0 +2078,2.0,5.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,1.0,3.0 +2082,2.0,7.0 +2083,4.0,1.0 +2084,1.0,6.0 +2085,3.0,2.0 +2086,2.0,4.0 +2087,3.0,6.0 +2088,2.0,6.0 +2089,1.0,2.0 +2090,1.0,6.0 +2091,2.0,5.0 +2092,3.0,1.0 +2093,2.0,4.0 +2094,1.0,4.0 +2095,4.0,3.0 +2096,5.0,2.0 +2097,2.0,5.0 +2098,2.0,2.0 +2099,1.0,6.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/10-peak+year_c.csv b/SurgeData/10-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/10-peak+year_c.csv rename to SurgeData/10-peak+year_c.csv diff --git a/SurgeData/N=1000/10-peak+year_w.csv b/SurgeData/10-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/10-peak+year_w.csv rename to SurgeData/10-peak+year_w.csv diff --git a/SurgeData/N=1000/10-peak_c.csv b/SurgeData/10-peak_c.csv similarity index 100% rename from SurgeData/N=1000/10-peak_c.csv rename to SurgeData/10-peak_c.csv diff --git a/SurgeData/N=1000/10-peak_w.csv b/SurgeData/10-peak_w.csv similarity index 100% rename from SurgeData/N=1000/10-peak_w.csv rename to SurgeData/10-peak_w.csv diff --git a/SurgeData/N=1000/10-surge_c.csv b/SurgeData/10-surge_c.csv similarity index 100% rename from SurgeData/N=1000/10-surge_c.csv rename to SurgeData/10-surge_c.csv diff --git a/SurgeData/N=1000/10-surge_w.csv b/SurgeData/10-surge_w.csv similarity index 100% rename from SurgeData/N=1000/10-surge_w.csv rename to SurgeData/10-surge_w.csv diff --git a/SurgeData/N=1000/10-time_c.csv b/SurgeData/10-time_c.csv similarity index 100% rename from SurgeData/N=1000/10-time_c.csv rename to SurgeData/10-time_c.csv diff --git a/SurgeData/N=1000/10-time_w.csv b/SurgeData/10-time_w.csv similarity index 100% rename from SurgeData/N=1000/10-time_w.csv rename to SurgeData/10-time_w.csv diff --git a/SurgeData/N=1000/10-waterlevel_c.csv b/SurgeData/10-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/10-waterlevel_c.csv rename to SurgeData/10-waterlevel_c.csv diff --git a/SurgeData/N=1000/10-waterlevel_w.csv b/SurgeData/10-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/10-waterlevel_w.csv rename to SurgeData/10-waterlevel_w.csv diff --git a/SurgeData/100-num_storm.csv b/SurgeData/100-num_storm.csv new file mode 100644 index 00000000..8b413440 --- /dev/null +++ b/SurgeData/100-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,6.0 +2022,4.0,5.0 +2023,1.0,5.0 +2024,1.0,5.0 +2025,2.0,7.0 +2026,2.0,4.0 +2027,2.0,2.0 +2028,0.0,3.0 +2029,0.0,1.0 +2030,2.0,7.0 +2031,0.0,2.0 +2032,2.0,2.0 +2033,1.0,2.0 +2034,0.0,5.0 +2035,2.0,4.0 +2036,0.0,5.0 +2037,0.0,3.0 +2038,2.0,4.0 +2039,5.0,3.0 +2040,1.0,5.0 +2041,2.0,3.0 +2042,1.0,3.0 +2043,1.0,7.0 +2044,0.0,4.0 +2045,1.0,5.0 +2046,2.0,5.0 +2047,0.0,7.0 +2048,3.0,4.0 +2049,2.0,0.0 +2050,0.0,2.0 +2051,2.0,6.0 +2052,0.0,0.0 +2053,1.0,2.0 +2054,1.0,3.0 +2055,1.0,4.0 +2056,0.0,2.0 +2057,0.0,10.0 +2058,4.0,3.0 +2059,1.0,2.0 +2060,0.0,0.0 +2061,2.0,5.0 +2062,2.0,6.0 +2063,0.0,4.0 +2064,0.0,2.0 +2065,2.0,3.0 +2066,2.0,4.0 +2067,2.0,9.0 +2068,2.0,5.0 +2069,1.0,4.0 +2070,2.0,2.0 +2071,0.0,4.0 +2072,2.0,4.0 +2073,1.0,6.0 +2074,1.0,6.0 +2075,1.0,1.0 +2076,1.0,2.0 +2077,1.0,5.0 +2078,2.0,3.0 +2079,0.0,11.0 +2080,2.0,4.0 +2081,1.0,8.0 +2082,1.0,4.0 +2083,1.0,3.0 +2084,1.0,2.0 +2085,2.0,3.0 +2086,2.0,2.0 +2087,4.0,2.0 +2088,3.0,2.0 +2089,1.0,4.0 +2090,3.0,7.0 +2091,2.0,3.0 +2092,1.0,5.0 +2093,2.0,3.0 +2094,2.0,3.0 +2095,1.0,3.0 +2096,1.0,1.0 +2097,2.0,3.0 +2098,2.0,8.0 +2099,1.0,5.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/100-peak+year_c.csv b/SurgeData/100-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/100-peak+year_c.csv rename to SurgeData/100-peak+year_c.csv diff --git a/SurgeData/N=1000/100-peak+year_w.csv b/SurgeData/100-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/100-peak+year_w.csv rename to SurgeData/100-peak+year_w.csv diff --git a/SurgeData/N=1000/100-peak_c.csv b/SurgeData/100-peak_c.csv similarity index 100% rename from SurgeData/N=1000/100-peak_c.csv rename to SurgeData/100-peak_c.csv diff --git a/SurgeData/N=1000/100-peak_w.csv b/SurgeData/100-peak_w.csv similarity index 100% rename from SurgeData/N=1000/100-peak_w.csv rename to SurgeData/100-peak_w.csv diff --git a/SurgeData/N=1000/100-surge_c.csv b/SurgeData/100-surge_c.csv similarity index 100% rename from SurgeData/N=1000/100-surge_c.csv rename to SurgeData/100-surge_c.csv diff --git a/SurgeData/N=1000/100-surge_w.csv b/SurgeData/100-surge_w.csv similarity index 100% rename from SurgeData/N=1000/100-surge_w.csv rename to SurgeData/100-surge_w.csv diff --git a/SurgeData/N=1000/100-time_c.csv b/SurgeData/100-time_c.csv similarity index 100% rename from SurgeData/N=1000/100-time_c.csv rename to SurgeData/100-time_c.csv diff --git a/SurgeData/N=1000/100-time_w.csv b/SurgeData/100-time_w.csv similarity index 100% rename from SurgeData/N=1000/100-time_w.csv rename to SurgeData/100-time_w.csv diff --git a/SurgeData/N=1000/100-waterlevel_c.csv b/SurgeData/100-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/100-waterlevel_c.csv rename to SurgeData/100-waterlevel_c.csv diff --git a/SurgeData/N=1000/100-waterlevel_w.csv b/SurgeData/100-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/100-waterlevel_w.csv rename to SurgeData/100-waterlevel_w.csv diff --git a/SurgeData/101-num_storm.csv b/SurgeData/101-num_storm.csv new file mode 100644 index 00000000..613770e3 --- /dev/null +++ b/SurgeData/101-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,0.0,6.0 +2022,3.0,4.0 +2023,1.0,8.0 +2024,0.0,2.0 +2025,0.0,5.0 +2026,1.0,3.0 +2027,0.0,3.0 +2028,0.0,3.0 +2029,3.0,2.0 +2030,4.0,4.0 +2031,1.0,1.0 +2032,1.0,4.0 +2033,1.0,4.0 +2034,1.0,6.0 +2035,1.0,3.0 +2036,1.0,1.0 +2037,1.0,7.0 +2038,2.0,3.0 +2039,1.0,1.0 +2040,2.0,3.0 +2041,1.0,8.0 +2042,3.0,6.0 +2043,4.0,7.0 +2044,0.0,2.0 +2045,1.0,2.0 +2046,2.0,1.0 +2047,3.0,3.0 +2048,2.0,5.0 +2049,0.0,2.0 +2050,1.0,3.0 +2051,3.0,3.0 +2052,3.0,8.0 +2053,0.0,2.0 +2054,1.0,4.0 +2055,2.0,3.0 +2056,1.0,1.0 +2057,3.0,4.0 +2058,1.0,3.0 +2059,0.0,3.0 +2060,6.0,4.0 +2061,2.0,2.0 +2062,1.0,4.0 +2063,0.0,3.0 +2064,1.0,5.0 +2065,5.0,3.0 +2066,4.0,5.0 +2067,2.0,2.0 +2068,1.0,2.0 +2069,3.0,4.0 +2070,0.0,2.0 +2071,3.0,6.0 +2072,1.0,3.0 +2073,2.0,5.0 +2074,2.0,3.0 +2075,2.0,8.0 +2076,3.0,2.0 +2077,1.0,5.0 +2078,3.0,5.0 +2079,2.0,6.0 +2080,2.0,3.0 +2081,0.0,7.0 +2082,4.0,7.0 +2083,1.0,4.0 +2084,2.0,3.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,1.0,4.0 +2088,2.0,5.0 +2089,2.0,7.0 +2090,0.0,5.0 +2091,3.0,7.0 +2092,2.0,5.0 +2093,1.0,3.0 +2094,0.0,3.0 +2095,1.0,2.0 +2096,1.0,2.0 +2097,0.0,1.0 +2098,0.0,4.0 +2099,1.0,2.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/101-peak+year_c.csv b/SurgeData/101-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/101-peak+year_c.csv rename to SurgeData/101-peak+year_c.csv diff --git a/SurgeData/N=1000/101-peak+year_w.csv b/SurgeData/101-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/101-peak+year_w.csv rename to SurgeData/101-peak+year_w.csv diff --git a/SurgeData/N=1000/101-peak_c.csv b/SurgeData/101-peak_c.csv similarity index 100% rename from SurgeData/N=1000/101-peak_c.csv rename to SurgeData/101-peak_c.csv diff --git a/SurgeData/N=1000/101-peak_w.csv b/SurgeData/101-peak_w.csv similarity index 100% rename from SurgeData/N=1000/101-peak_w.csv rename to SurgeData/101-peak_w.csv diff --git a/SurgeData/N=1000/101-surge_c.csv b/SurgeData/101-surge_c.csv similarity index 100% rename from SurgeData/N=1000/101-surge_c.csv rename to SurgeData/101-surge_c.csv diff --git a/SurgeData/N=1000/101-surge_w.csv b/SurgeData/101-surge_w.csv similarity index 100% rename from SurgeData/N=1000/101-surge_w.csv rename to SurgeData/101-surge_w.csv diff --git a/SurgeData/N=1000/101-time_c.csv b/SurgeData/101-time_c.csv similarity index 100% rename from SurgeData/N=1000/101-time_c.csv rename to SurgeData/101-time_c.csv diff --git a/SurgeData/N=1000/101-time_w.csv b/SurgeData/101-time_w.csv similarity index 100% rename from SurgeData/N=1000/101-time_w.csv rename to SurgeData/101-time_w.csv diff --git a/SurgeData/N=1000/101-waterlevel_c.csv b/SurgeData/101-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/101-waterlevel_c.csv rename to SurgeData/101-waterlevel_c.csv diff --git a/SurgeData/N=1000/101-waterlevel_w.csv b/SurgeData/101-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/101-waterlevel_w.csv rename to SurgeData/101-waterlevel_w.csv diff --git a/SurgeData/102-num_storm.csv b/SurgeData/102-num_storm.csv new file mode 100644 index 00000000..08b1a7d0 --- /dev/null +++ b/SurgeData/102-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,2.0 +2022,0.0,5.0 +2023,1.0,3.0 +2024,1.0,7.0 +2025,1.0,4.0 +2026,0.0,3.0 +2027,1.0,5.0 +2028,3.0,2.0 +2029,2.0,4.0 +2030,4.0,8.0 +2031,0.0,8.0 +2032,0.0,3.0 +2033,3.0,9.0 +2034,1.0,5.0 +2035,4.0,3.0 +2036,1.0,2.0 +2037,2.0,3.0 +2038,0.0,2.0 +2039,2.0,5.0 +2040,0.0,5.0 +2041,1.0,3.0 +2042,1.0,0.0 +2043,0.0,8.0 +2044,2.0,3.0 +2045,2.0,0.0 +2046,0.0,3.0 +2047,0.0,7.0 +2048,2.0,1.0 +2049,1.0,5.0 +2050,0.0,4.0 +2051,0.0,4.0 +2052,0.0,4.0 +2053,0.0,3.0 +2054,0.0,3.0 +2055,0.0,4.0 +2056,2.0,6.0 +2057,0.0,1.0 +2058,2.0,6.0 +2059,0.0,7.0 +2060,1.0,1.0 +2061,3.0,2.0 +2062,1.0,3.0 +2063,0.0,3.0 +2064,1.0,2.0 +2065,2.0,7.0 +2066,1.0,6.0 +2067,0.0,1.0 +2068,2.0,5.0 +2069,3.0,6.0 +2070,0.0,3.0 +2071,0.0,7.0 +2072,1.0,5.0 +2073,1.0,6.0 +2074,2.0,7.0 +2075,2.0,5.0 +2076,2.0,6.0 +2077,2.0,3.0 +2078,2.0,11.0 +2079,1.0,3.0 +2080,2.0,8.0 +2081,1.0,3.0 +2082,0.0,3.0 +2083,3.0,4.0 +2084,1.0,1.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,1.0,4.0 +2088,3.0,5.0 +2089,0.0,4.0 +2090,1.0,1.0 +2091,0.0,12.0 +2092,2.0,4.0 +2093,2.0,1.0 +2094,3.0,0.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,0.0,3.0 +2098,3.0,3.0 +2099,1.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/102-peak+year_c.csv b/SurgeData/102-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/102-peak+year_c.csv rename to SurgeData/102-peak+year_c.csv diff --git a/SurgeData/N=1000/102-peak+year_w.csv b/SurgeData/102-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/102-peak+year_w.csv rename to SurgeData/102-peak+year_w.csv diff --git a/SurgeData/N=1000/102-peak_c.csv b/SurgeData/102-peak_c.csv similarity index 100% rename from SurgeData/N=1000/102-peak_c.csv rename to SurgeData/102-peak_c.csv diff --git a/SurgeData/N=1000/102-peak_w.csv b/SurgeData/102-peak_w.csv similarity index 100% rename from SurgeData/N=1000/102-peak_w.csv rename to SurgeData/102-peak_w.csv diff --git a/SurgeData/N=1000/102-surge_c.csv b/SurgeData/102-surge_c.csv similarity index 100% rename from SurgeData/N=1000/102-surge_c.csv rename to SurgeData/102-surge_c.csv diff --git a/SurgeData/N=1000/102-surge_w.csv b/SurgeData/102-surge_w.csv similarity index 100% rename from SurgeData/N=1000/102-surge_w.csv rename to SurgeData/102-surge_w.csv diff --git a/SurgeData/N=1000/102-time_c.csv b/SurgeData/102-time_c.csv similarity index 100% rename from SurgeData/N=1000/102-time_c.csv rename to SurgeData/102-time_c.csv diff --git a/SurgeData/N=1000/102-time_w.csv b/SurgeData/102-time_w.csv similarity index 100% rename from SurgeData/N=1000/102-time_w.csv rename to SurgeData/102-time_w.csv diff --git a/SurgeData/N=1000/102-waterlevel_c.csv b/SurgeData/102-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/102-waterlevel_c.csv rename to SurgeData/102-waterlevel_c.csv diff --git a/SurgeData/N=1000/102-waterlevel_w.csv b/SurgeData/102-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/102-waterlevel_w.csv rename to SurgeData/102-waterlevel_w.csv diff --git a/SurgeData/103-num_storm.csv b/SurgeData/103-num_storm.csv new file mode 100644 index 00000000..d8215c7a --- /dev/null +++ b/SurgeData/103-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,3.0,3.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,0.0,2.0 +2025,1.0,6.0 +2026,2.0,4.0 +2027,0.0,4.0 +2028,0.0,6.0 +2029,0.0,6.0 +2030,2.0,4.0 +2031,2.0,8.0 +2032,1.0,4.0 +2033,2.0,2.0 +2034,3.0,6.0 +2035,2.0,1.0 +2036,2.0,5.0 +2037,1.0,6.0 +2038,0.0,2.0 +2039,1.0,5.0 +2040,0.0,4.0 +2041,3.0,4.0 +2042,2.0,3.0 +2043,4.0,1.0 +2044,4.0,5.0 +2045,2.0,2.0 +2046,0.0,1.0 +2047,1.0,4.0 +2048,1.0,3.0 +2049,1.0,7.0 +2050,1.0,3.0 +2051,2.0,5.0 +2052,0.0,2.0 +2053,1.0,4.0 +2054,1.0,6.0 +2055,1.0,5.0 +2056,2.0,4.0 +2057,0.0,1.0 +2058,5.0,6.0 +2059,2.0,2.0 +2060,2.0,2.0 +2061,1.0,3.0 +2062,1.0,3.0 +2063,0.0,2.0 +2064,2.0,5.0 +2065,1.0,3.0 +2066,0.0,5.0 +2067,0.0,5.0 +2068,3.0,6.0 +2069,0.0,8.0 +2070,0.0,2.0 +2071,2.0,2.0 +2072,0.0,3.0 +2073,2.0,7.0 +2074,2.0,1.0 +2075,0.0,5.0 +2076,3.0,3.0 +2077,1.0,8.0 +2078,0.0,3.0 +2079,1.0,3.0 +2080,2.0,5.0 +2081,2.0,4.0 +2082,0.0,3.0 +2083,1.0,3.0 +2084,0.0,3.0 +2085,2.0,5.0 +2086,2.0,3.0 +2087,0.0,7.0 +2088,3.0,6.0 +2089,2.0,2.0 +2090,2.0,2.0 +2091,2.0,9.0 +2092,2.0,4.0 +2093,1.0,6.0 +2094,3.0,6.0 +2095,0.0,2.0 +2096,0.0,8.0 +2097,4.0,3.0 +2098,5.0,2.0 +2099,3.0,1.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/103-peak+year_c.csv b/SurgeData/103-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/103-peak+year_c.csv rename to SurgeData/103-peak+year_c.csv diff --git a/SurgeData/N=1000/103-peak+year_w.csv b/SurgeData/103-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/103-peak+year_w.csv rename to SurgeData/103-peak+year_w.csv diff --git a/SurgeData/N=1000/103-peak_c.csv b/SurgeData/103-peak_c.csv similarity index 100% rename from SurgeData/N=1000/103-peak_c.csv rename to SurgeData/103-peak_c.csv diff --git a/SurgeData/N=1000/103-peak_w.csv b/SurgeData/103-peak_w.csv similarity index 100% rename from SurgeData/N=1000/103-peak_w.csv rename to SurgeData/103-peak_w.csv diff --git a/SurgeData/N=1000/103-surge_c.csv b/SurgeData/103-surge_c.csv similarity index 100% rename from SurgeData/N=1000/103-surge_c.csv rename to SurgeData/103-surge_c.csv diff --git a/SurgeData/N=1000/103-surge_w.csv b/SurgeData/103-surge_w.csv similarity index 100% rename from SurgeData/N=1000/103-surge_w.csv rename to SurgeData/103-surge_w.csv diff --git a/SurgeData/N=1000/103-time_c.csv b/SurgeData/103-time_c.csv similarity index 100% rename from SurgeData/N=1000/103-time_c.csv rename to SurgeData/103-time_c.csv diff --git a/SurgeData/N=1000/103-time_w.csv b/SurgeData/103-time_w.csv similarity index 100% rename from SurgeData/N=1000/103-time_w.csv rename to SurgeData/103-time_w.csv diff --git a/SurgeData/N=1000/103-waterlevel_c.csv b/SurgeData/103-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/103-waterlevel_c.csv rename to SurgeData/103-waterlevel_c.csv diff --git a/SurgeData/N=1000/103-waterlevel_w.csv b/SurgeData/103-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/103-waterlevel_w.csv rename to SurgeData/103-waterlevel_w.csv diff --git a/SurgeData/N=1000/104-peak+year_c.csv b/SurgeData/104-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/104-peak+year_c.csv rename to SurgeData/104-peak+year_c.csv diff --git a/SurgeData/N=1000/104-peak+year_w.csv b/SurgeData/104-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/104-peak+year_w.csv rename to SurgeData/104-peak+year_w.csv diff --git a/SurgeData/N=1000/104-peak_c.csv b/SurgeData/104-peak_c.csv similarity index 100% rename from SurgeData/N=1000/104-peak_c.csv rename to SurgeData/104-peak_c.csv diff --git a/SurgeData/N=1000/104-peak_w.csv b/SurgeData/104-peak_w.csv similarity index 100% rename from SurgeData/N=1000/104-peak_w.csv rename to SurgeData/104-peak_w.csv diff --git a/SurgeData/N=1000/104-surge_c.csv b/SurgeData/104-surge_c.csv similarity index 100% rename from SurgeData/N=1000/104-surge_c.csv rename to SurgeData/104-surge_c.csv diff --git a/SurgeData/N=1000/104-surge_w.csv b/SurgeData/104-surge_w.csv similarity index 100% rename from SurgeData/N=1000/104-surge_w.csv rename to SurgeData/104-surge_w.csv diff --git a/SurgeData/N=1000/104-time_c.csv b/SurgeData/104-time_c.csv similarity index 100% rename from SurgeData/N=1000/104-time_c.csv rename to SurgeData/104-time_c.csv diff --git a/SurgeData/N=1000/104-time_w.csv b/SurgeData/104-time_w.csv similarity index 100% rename from SurgeData/N=1000/104-time_w.csv rename to SurgeData/104-time_w.csv diff --git a/SurgeData/N=1000/104-waterlevel_c.csv b/SurgeData/104-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/104-waterlevel_c.csv rename to SurgeData/104-waterlevel_c.csv diff --git a/SurgeData/N=1000/104-waterlevel_w.csv b/SurgeData/104-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/104-waterlevel_w.csv rename to SurgeData/104-waterlevel_w.csv diff --git a/SurgeData/105-num_storm.csv b/SurgeData/105-num_storm.csv new file mode 100644 index 00000000..09800665 --- /dev/null +++ b/SurgeData/105-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,5.0 +2022,1.0,7.0 +2023,2.0,5.0 +2024,1.0,4.0 +2025,1.0,4.0 +2026,3.0,6.0 +2027,1.0,8.0 +2028,3.0,3.0 +2029,1.0,3.0 +2030,1.0,1.0 +2031,3.0,5.0 +2032,2.0,5.0 +2033,2.0,6.0 +2034,0.0,4.0 +2035,3.0,1.0 +2036,2.0,3.0 +2037,5.0,0.0 +2038,3.0,4.0 +2039,0.0,3.0 +2040,2.0,2.0 +2041,1.0,1.0 +2042,2.0,4.0 +2043,1.0,2.0 +2044,1.0,5.0 +2045,1.0,7.0 +2046,3.0,4.0 +2047,4.0,1.0 +2048,3.0,5.0 +2049,2.0,2.0 +2050,1.0,1.0 +2051,2.0,4.0 +2052,2.0,1.0 +2053,0.0,3.0 +2054,1.0,4.0 +2055,3.0,4.0 +2056,3.0,4.0 +2057,1.0,6.0 +2058,1.0,5.0 +2059,2.0,1.0 +2060,1.0,4.0 +2061,0.0,3.0 +2062,1.0,6.0 +2063,0.0,3.0 +2064,0.0,2.0 +2065,1.0,5.0 +2066,2.0,4.0 +2067,1.0,3.0 +2068,0.0,6.0 +2069,1.0,6.0 +2070,0.0,9.0 +2071,2.0,2.0 +2072,2.0,4.0 +2073,3.0,3.0 +2074,2.0,4.0 +2075,0.0,6.0 +2076,0.0,2.0 +2077,0.0,3.0 +2078,0.0,3.0 +2079,4.0,6.0 +2080,3.0,2.0 +2081,2.0,1.0 +2082,0.0,4.0 +2083,3.0,0.0 +2084,1.0,0.0 +2085,2.0,4.0 +2086,2.0,2.0 +2087,4.0,4.0 +2088,2.0,11.0 +2089,1.0,3.0 +2090,1.0,8.0 +2091,2.0,4.0 +2092,1.0,2.0 +2093,2.0,5.0 +2094,2.0,3.0 +2095,2.0,2.0 +2096,0.0,6.0 +2097,1.0,3.0 +2098,1.0,3.0 +2099,0.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/105-peak+year_c.csv b/SurgeData/105-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/105-peak+year_c.csv rename to SurgeData/105-peak+year_c.csv diff --git a/SurgeData/N=1000/105-peak+year_w.csv b/SurgeData/105-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/105-peak+year_w.csv rename to SurgeData/105-peak+year_w.csv diff --git a/SurgeData/N=1000/105-peak_c.csv b/SurgeData/105-peak_c.csv similarity index 100% rename from SurgeData/N=1000/105-peak_c.csv rename to SurgeData/105-peak_c.csv diff --git a/SurgeData/N=1000/105-peak_w.csv b/SurgeData/105-peak_w.csv similarity index 100% rename from SurgeData/N=1000/105-peak_w.csv rename to SurgeData/105-peak_w.csv diff --git a/SurgeData/N=1000/105-surge_c.csv b/SurgeData/105-surge_c.csv similarity index 100% rename from SurgeData/N=1000/105-surge_c.csv rename to SurgeData/105-surge_c.csv diff --git a/SurgeData/N=1000/105-surge_w.csv b/SurgeData/105-surge_w.csv similarity index 100% rename from SurgeData/N=1000/105-surge_w.csv rename to SurgeData/105-surge_w.csv diff --git a/SurgeData/N=1000/105-time_c.csv b/SurgeData/105-time_c.csv similarity index 100% rename from SurgeData/N=1000/105-time_c.csv rename to SurgeData/105-time_c.csv diff --git a/SurgeData/N=1000/105-time_w.csv b/SurgeData/105-time_w.csv similarity index 100% rename from SurgeData/N=1000/105-time_w.csv rename to SurgeData/105-time_w.csv diff --git a/SurgeData/N=1000/105-waterlevel_c.csv b/SurgeData/105-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/105-waterlevel_c.csv rename to SurgeData/105-waterlevel_c.csv diff --git a/SurgeData/N=1000/105-waterlevel_w.csv b/SurgeData/105-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/105-waterlevel_w.csv rename to SurgeData/105-waterlevel_w.csv diff --git a/SurgeData/106-num_storm.csv b/SurgeData/106-num_storm.csv new file mode 100644 index 00000000..4d0dc9d5 --- /dev/null +++ b/SurgeData/106-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,6.0 +2022,2.0,4.0 +2023,1.0,4.0 +2024,1.0,4.0 +2025,2.0,6.0 +2026,0.0,3.0 +2027,0.0,5.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,3.0,4.0 +2031,2.0,5.0 +2032,0.0,3.0 +2033,1.0,4.0 +2034,1.0,7.0 +2035,1.0,5.0 +2036,0.0,4.0 +2037,3.0,1.0 +2038,0.0,6.0 +2039,3.0,3.0 +2040,2.0,5.0 +2041,2.0,3.0 +2042,0.0,3.0 +2043,1.0,3.0 +2044,1.0,3.0 +2045,1.0,4.0 +2046,2.0,3.0 +2047,2.0,8.0 +2048,2.0,3.0 +2049,3.0,3.0 +2050,0.0,9.0 +2051,1.0,6.0 +2052,1.0,9.0 +2053,3.0,3.0 +2054,1.0,8.0 +2055,2.0,6.0 +2056,5.0,7.0 +2057,1.0,6.0 +2058,2.0,1.0 +2059,0.0,1.0 +2060,1.0,6.0 +2061,2.0,5.0 +2062,3.0,2.0 +2063,1.0,7.0 +2064,2.0,3.0 +2065,2.0,4.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,4.0,4.0 +2069,2.0,4.0 +2070,0.0,4.0 +2071,3.0,4.0 +2072,0.0,3.0 +2073,0.0,4.0 +2074,1.0,5.0 +2075,1.0,4.0 +2076,1.0,6.0 +2077,0.0,3.0 +2078,0.0,4.0 +2079,0.0,6.0 +2080,2.0,2.0 +2081,1.0,4.0 +2082,3.0,2.0 +2083,0.0,7.0 +2084,1.0,5.0 +2085,3.0,6.0 +2086,2.0,2.0 +2087,0.0,5.0 +2088,1.0,5.0 +2089,0.0,3.0 +2090,1.0,4.0 +2091,2.0,4.0 +2092,0.0,2.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,2.0,7.0 +2096,2.0,5.0 +2097,1.0,5.0 +2098,0.0,6.0 +2099,1.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/106-peak+year_c.csv b/SurgeData/106-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/106-peak+year_c.csv rename to SurgeData/106-peak+year_c.csv diff --git a/SurgeData/N=1000/106-peak+year_w.csv b/SurgeData/106-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/106-peak+year_w.csv rename to SurgeData/106-peak+year_w.csv diff --git a/SurgeData/N=1000/106-peak_c.csv b/SurgeData/106-peak_c.csv similarity index 100% rename from SurgeData/N=1000/106-peak_c.csv rename to SurgeData/106-peak_c.csv diff --git a/SurgeData/N=1000/106-peak_w.csv b/SurgeData/106-peak_w.csv similarity index 100% rename from SurgeData/N=1000/106-peak_w.csv rename to SurgeData/106-peak_w.csv diff --git a/SurgeData/N=1000/106-surge_c.csv b/SurgeData/106-surge_c.csv similarity index 100% rename from SurgeData/N=1000/106-surge_c.csv rename to SurgeData/106-surge_c.csv diff --git a/SurgeData/N=1000/106-surge_w.csv b/SurgeData/106-surge_w.csv similarity index 100% rename from SurgeData/N=1000/106-surge_w.csv rename to SurgeData/106-surge_w.csv diff --git a/SurgeData/N=1000/106-time_c.csv b/SurgeData/106-time_c.csv similarity index 100% rename from SurgeData/N=1000/106-time_c.csv rename to SurgeData/106-time_c.csv diff --git a/SurgeData/N=1000/106-time_w.csv b/SurgeData/106-time_w.csv similarity index 100% rename from SurgeData/N=1000/106-time_w.csv rename to SurgeData/106-time_w.csv diff --git a/SurgeData/N=1000/106-waterlevel_c.csv b/SurgeData/106-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/106-waterlevel_c.csv rename to SurgeData/106-waterlevel_c.csv diff --git a/SurgeData/N=1000/106-waterlevel_w.csv b/SurgeData/106-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/106-waterlevel_w.csv rename to SurgeData/106-waterlevel_w.csv diff --git a/SurgeData/107-num_storm.csv b/SurgeData/107-num_storm.csv new file mode 100644 index 00000000..4558edbf --- /dev/null +++ b/SurgeData/107-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,1.0,4.0 +2022,1.0,2.0 +2023,0.0,5.0 +2024,3.0,3.0 +2025,1.0,6.0 +2026,1.0,3.0 +2027,1.0,4.0 +2028,0.0,6.0 +2029,1.0,3.0 +2030,3.0,4.0 +2031,1.0,6.0 +2032,1.0,1.0 +2033,5.0,1.0 +2034,2.0,3.0 +2035,2.0,3.0 +2036,2.0,4.0 +2037,0.0,7.0 +2038,0.0,4.0 +2039,1.0,7.0 +2040,0.0,5.0 +2041,1.0,8.0 +2042,0.0,4.0 +2043,0.0,3.0 +2044,0.0,7.0 +2045,1.0,3.0 +2046,3.0,2.0 +2047,0.0,2.0 +2048,3.0,1.0 +2049,0.0,4.0 +2050,2.0,2.0 +2051,2.0,3.0 +2052,1.0,2.0 +2053,0.0,2.0 +2054,2.0,6.0 +2055,2.0,7.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,3.0,0.0 +2059,0.0,3.0 +2060,3.0,4.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,2.0,4.0 +2064,0.0,2.0 +2065,1.0,6.0 +2066,0.0,1.0 +2067,1.0,3.0 +2068,4.0,7.0 +2069,0.0,5.0 +2070,1.0,6.0 +2071,0.0,2.0 +2072,1.0,5.0 +2073,1.0,3.0 +2074,0.0,3.0 +2075,2.0,7.0 +2076,0.0,1.0 +2077,2.0,4.0 +2078,2.0,3.0 +2079,3.0,3.0 +2080,4.0,6.0 +2081,1.0,2.0 +2082,4.0,2.0 +2083,3.0,3.0 +2084,2.0,4.0 +2085,1.0,3.0 +2086,0.0,7.0 +2087,2.0,4.0 +2088,3.0,4.0 +2089,2.0,3.0 +2090,2.0,4.0 +2091,0.0,6.0 +2092,1.0,1.0 +2093,1.0,3.0 +2094,0.0,6.0 +2095,3.0,4.0 +2096,1.0,4.0 +2097,0.0,6.0 +2098,0.0,6.0 +2099,3.0,6.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/107-peak+year_c.csv b/SurgeData/107-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/107-peak+year_c.csv rename to SurgeData/107-peak+year_c.csv diff --git a/SurgeData/N=1000/107-peak+year_w.csv b/SurgeData/107-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/107-peak+year_w.csv rename to SurgeData/107-peak+year_w.csv diff --git a/SurgeData/N=1000/107-peak_c.csv b/SurgeData/107-peak_c.csv similarity index 100% rename from SurgeData/N=1000/107-peak_c.csv rename to SurgeData/107-peak_c.csv diff --git a/SurgeData/N=1000/107-peak_w.csv b/SurgeData/107-peak_w.csv similarity index 100% rename from SurgeData/N=1000/107-peak_w.csv rename to SurgeData/107-peak_w.csv diff --git a/SurgeData/N=1000/107-surge_c.csv b/SurgeData/107-surge_c.csv similarity index 100% rename from SurgeData/N=1000/107-surge_c.csv rename to SurgeData/107-surge_c.csv diff --git a/SurgeData/N=1000/107-surge_w.csv b/SurgeData/107-surge_w.csv similarity index 100% rename from SurgeData/N=1000/107-surge_w.csv rename to SurgeData/107-surge_w.csv diff --git a/SurgeData/N=1000/107-time_c.csv b/SurgeData/107-time_c.csv similarity index 100% rename from SurgeData/N=1000/107-time_c.csv rename to SurgeData/107-time_c.csv diff --git a/SurgeData/N=1000/107-time_w.csv b/SurgeData/107-time_w.csv similarity index 100% rename from SurgeData/N=1000/107-time_w.csv rename to SurgeData/107-time_w.csv diff --git a/SurgeData/N=1000/107-waterlevel_c.csv b/SurgeData/107-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/107-waterlevel_c.csv rename to SurgeData/107-waterlevel_c.csv diff --git a/SurgeData/N=1000/107-waterlevel_w.csv b/SurgeData/107-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/107-waterlevel_w.csv rename to SurgeData/107-waterlevel_w.csv diff --git a/SurgeData/108-num_storm.csv b/SurgeData/108-num_storm.csv new file mode 100644 index 00000000..17043a94 --- /dev/null +++ b/SurgeData/108-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,6.0 +2022,1.0,3.0 +2023,3.0,2.0 +2024,2.0,3.0 +2025,2.0,2.0 +2026,3.0,4.0 +2027,3.0,6.0 +2028,2.0,9.0 +2029,1.0,3.0 +2030,1.0,8.0 +2031,4.0,4.0 +2032,5.0,4.0 +2033,1.0,11.0 +2034,2.0,4.0 +2035,1.0,7.0 +2036,1.0,3.0 +2037,1.0,4.0 +2038,0.0,6.0 +2039,0.0,10.0 +2040,3.0,6.0 +2041,2.0,4.0 +2042,4.0,7.0 +2043,0.0,5.0 +2044,0.0,4.0 +2045,1.0,1.0 +2046,1.0,9.0 +2047,2.0,6.0 +2048,2.0,1.0 +2049,4.0,7.0 +2050,3.0,4.0 +2051,3.0,4.0 +2052,2.0,4.0 +2053,1.0,8.0 +2054,2.0,3.0 +2055,0.0,4.0 +2056,1.0,3.0 +2057,0.0,9.0 +2058,1.0,5.0 +2059,0.0,3.0 +2060,1.0,3.0 +2061,2.0,4.0 +2062,0.0,2.0 +2063,0.0,4.0 +2064,4.0,3.0 +2065,2.0,3.0 +2066,1.0,3.0 +2067,1.0,2.0 +2068,1.0,7.0 +2069,0.0,4.0 +2070,1.0,3.0 +2071,2.0,10.0 +2072,1.0,4.0 +2073,2.0,7.0 +2074,1.0,7.0 +2075,2.0,6.0 +2076,0.0,1.0 +2077,1.0,2.0 +2078,2.0,3.0 +2079,1.0,4.0 +2080,1.0,4.0 +2081,2.0,11.0 +2082,2.0,7.0 +2083,2.0,2.0 +2084,0.0,6.0 +2085,1.0,3.0 +2086,3.0,0.0 +2087,1.0,2.0 +2088,1.0,0.0 +2089,0.0,2.0 +2090,3.0,3.0 +2091,1.0,5.0 +2092,2.0,5.0 +2093,3.0,7.0 +2094,0.0,2.0 +2095,0.0,2.0 +2096,2.0,5.0 +2097,3.0,5.0 +2098,1.0,3.0 +2099,1.0,2.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/108-peak+year_c.csv b/SurgeData/108-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/108-peak+year_c.csv rename to SurgeData/108-peak+year_c.csv diff --git a/SurgeData/N=1000/108-peak+year_w.csv b/SurgeData/108-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/108-peak+year_w.csv rename to SurgeData/108-peak+year_w.csv diff --git a/SurgeData/N=1000/108-peak_c.csv b/SurgeData/108-peak_c.csv similarity index 100% rename from SurgeData/N=1000/108-peak_c.csv rename to SurgeData/108-peak_c.csv diff --git a/SurgeData/N=1000/108-peak_w.csv b/SurgeData/108-peak_w.csv similarity index 100% rename from SurgeData/N=1000/108-peak_w.csv rename to SurgeData/108-peak_w.csv diff --git a/SurgeData/N=1000/108-surge_c.csv b/SurgeData/108-surge_c.csv similarity index 100% rename from SurgeData/N=1000/108-surge_c.csv rename to SurgeData/108-surge_c.csv diff --git a/SurgeData/N=1000/108-surge_w.csv b/SurgeData/108-surge_w.csv similarity index 100% rename from SurgeData/N=1000/108-surge_w.csv rename to SurgeData/108-surge_w.csv diff --git a/SurgeData/N=1000/108-time_c.csv b/SurgeData/108-time_c.csv similarity index 100% rename from SurgeData/N=1000/108-time_c.csv rename to SurgeData/108-time_c.csv diff --git a/SurgeData/N=1000/108-time_w.csv b/SurgeData/108-time_w.csv similarity index 100% rename from SurgeData/N=1000/108-time_w.csv rename to SurgeData/108-time_w.csv diff --git a/SurgeData/N=1000/108-waterlevel_c.csv b/SurgeData/108-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/108-waterlevel_c.csv rename to SurgeData/108-waterlevel_c.csv diff --git a/SurgeData/N=1000/108-waterlevel_w.csv b/SurgeData/108-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/108-waterlevel_w.csv rename to SurgeData/108-waterlevel_w.csv diff --git a/SurgeData/109-num_storm.csv b/SurgeData/109-num_storm.csv new file mode 100644 index 00000000..5b9b3f58 --- /dev/null +++ b/SurgeData/109-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,3.0 +2022,1.0,5.0 +2023,0.0,5.0 +2024,0.0,5.0 +2025,2.0,4.0 +2026,2.0,4.0 +2027,1.0,6.0 +2028,2.0,4.0 +2029,1.0,6.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,4.0,4.0 +2033,2.0,6.0 +2034,3.0,4.0 +2035,1.0,5.0 +2036,3.0,2.0 +2037,4.0,5.0 +2038,3.0,5.0 +2039,1.0,2.0 +2040,1.0,1.0 +2041,3.0,4.0 +2042,2.0,5.0 +2043,0.0,0.0 +2044,4.0,2.0 +2045,0.0,5.0 +2046,3.0,5.0 +2047,2.0,3.0 +2048,1.0,0.0 +2049,2.0,3.0 +2050,5.0,1.0 +2051,4.0,6.0 +2052,1.0,2.0 +2053,1.0,4.0 +2054,1.0,3.0 +2055,1.0,3.0 +2056,0.0,2.0 +2057,1.0,1.0 +2058,0.0,7.0 +2059,0.0,4.0 +2060,1.0,3.0 +2061,2.0,1.0 +2062,1.0,4.0 +2063,2.0,4.0 +2064,1.0,2.0 +2065,1.0,4.0 +2066,0.0,4.0 +2067,3.0,3.0 +2068,0.0,3.0 +2069,1.0,5.0 +2070,1.0,6.0 +2071,3.0,9.0 +2072,0.0,9.0 +2073,1.0,4.0 +2074,2.0,6.0 +2075,3.0,4.0 +2076,2.0,3.0 +2077,2.0,3.0 +2078,2.0,3.0 +2079,3.0,5.0 +2080,0.0,7.0 +2081,1.0,2.0 +2082,3.0,2.0 +2083,1.0,3.0 +2084,2.0,1.0 +2085,3.0,5.0 +2086,3.0,8.0 +2087,2.0,3.0 +2088,4.0,5.0 +2089,4.0,3.0 +2090,1.0,5.0 +2091,1.0,3.0 +2092,2.0,7.0 +2093,1.0,4.0 +2094,3.0,2.0 +2095,4.0,1.0 +2096,1.0,4.0 +2097,1.0,2.0 +2098,3.0,3.0 +2099,0.0,3.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/109-peak+year_c.csv b/SurgeData/109-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/109-peak+year_c.csv rename to SurgeData/109-peak+year_c.csv diff --git a/SurgeData/N=1000/109-peak+year_w.csv b/SurgeData/109-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/109-peak+year_w.csv rename to SurgeData/109-peak+year_w.csv diff --git a/SurgeData/N=1000/109-peak_c.csv b/SurgeData/109-peak_c.csv similarity index 100% rename from SurgeData/N=1000/109-peak_c.csv rename to SurgeData/109-peak_c.csv diff --git a/SurgeData/N=1000/109-peak_w.csv b/SurgeData/109-peak_w.csv similarity index 100% rename from SurgeData/N=1000/109-peak_w.csv rename to SurgeData/109-peak_w.csv diff --git a/SurgeData/N=1000/109-surge_c.csv b/SurgeData/109-surge_c.csv similarity index 100% rename from SurgeData/N=1000/109-surge_c.csv rename to SurgeData/109-surge_c.csv diff --git a/SurgeData/N=1000/109-surge_w.csv b/SurgeData/109-surge_w.csv similarity index 100% rename from SurgeData/N=1000/109-surge_w.csv rename to SurgeData/109-surge_w.csv diff --git a/SurgeData/N=1000/109-time_c.csv b/SurgeData/109-time_c.csv similarity index 100% rename from SurgeData/N=1000/109-time_c.csv rename to SurgeData/109-time_c.csv diff --git a/SurgeData/N=1000/109-time_w.csv b/SurgeData/109-time_w.csv similarity index 100% rename from SurgeData/N=1000/109-time_w.csv rename to SurgeData/109-time_w.csv diff --git a/SurgeData/N=1000/109-waterlevel_c.csv b/SurgeData/109-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/109-waterlevel_c.csv rename to SurgeData/109-waterlevel_c.csv diff --git a/SurgeData/N=1000/109-waterlevel_w.csv b/SurgeData/109-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/109-waterlevel_w.csv rename to SurgeData/109-waterlevel_w.csv diff --git a/SurgeData/11-num_storm.csv b/SurgeData/11-num_storm.csv new file mode 100644 index 00000000..1f4476e6 --- /dev/null +++ b/SurgeData/11-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,3.0,4.0 +2022,1.0,7.0 +2023,3.0,7.0 +2024,0.0,4.0 +2025,2.0,9.0 +2026,3.0,4.0 +2027,1.0,1.0 +2028,1.0,3.0 +2029,0.0,5.0 +2030,3.0,4.0 +2031,2.0,2.0 +2032,5.0,2.0 +2033,1.0,4.0 +2034,2.0,4.0 +2035,0.0,3.0 +2036,1.0,2.0 +2037,3.0,6.0 +2038,2.0,4.0 +2039,3.0,2.0 +2040,1.0,3.0 +2041,2.0,2.0 +2042,3.0,4.0 +2043,1.0,5.0 +2044,1.0,2.0 +2045,1.0,1.0 +2046,1.0,4.0 +2047,2.0,2.0 +2048,4.0,5.0 +2049,3.0,4.0 +2050,0.0,4.0 +2051,3.0,7.0 +2052,4.0,5.0 +2053,0.0,6.0 +2054,1.0,6.0 +2055,2.0,4.0 +2056,1.0,6.0 +2057,2.0,4.0 +2058,0.0,4.0 +2059,3.0,8.0 +2060,2.0,5.0 +2061,0.0,8.0 +2062,2.0,5.0 +2063,1.0,2.0 +2064,2.0,2.0 +2065,0.0,3.0 +2066,0.0,0.0 +2067,0.0,3.0 +2068,3.0,2.0 +2069,1.0,4.0 +2070,2.0,3.0 +2071,0.0,4.0 +2072,2.0,8.0 +2073,1.0,1.0 +2074,0.0,1.0 +2075,1.0,4.0 +2076,1.0,4.0 +2077,2.0,6.0 +2078,3.0,0.0 +2079,1.0,2.0 +2080,1.0,5.0 +2081,2.0,6.0 +2082,3.0,5.0 +2083,3.0,0.0 +2084,2.0,1.0 +2085,0.0,8.0 +2086,0.0,4.0 +2087,3.0,2.0 +2088,0.0,5.0 +2089,3.0,5.0 +2090,2.0,4.0 +2091,2.0,4.0 +2092,2.0,3.0 +2093,1.0,4.0 +2094,0.0,3.0 +2095,0.0,6.0 +2096,4.0,4.0 +2097,4.0,4.0 +2098,2.0,0.0 +2099,1.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/11-peak+year_c.csv b/SurgeData/11-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/11-peak+year_c.csv rename to SurgeData/11-peak+year_c.csv diff --git a/SurgeData/N=1000/11-peak+year_w.csv b/SurgeData/11-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/11-peak+year_w.csv rename to SurgeData/11-peak+year_w.csv diff --git a/SurgeData/N=1000/11-peak_c.csv b/SurgeData/11-peak_c.csv similarity index 100% rename from SurgeData/N=1000/11-peak_c.csv rename to SurgeData/11-peak_c.csv diff --git a/SurgeData/N=1000/11-peak_w.csv b/SurgeData/11-peak_w.csv similarity index 100% rename from SurgeData/N=1000/11-peak_w.csv rename to SurgeData/11-peak_w.csv diff --git a/SurgeData/N=1000/11-surge_c.csv b/SurgeData/11-surge_c.csv similarity index 100% rename from SurgeData/N=1000/11-surge_c.csv rename to SurgeData/11-surge_c.csv diff --git a/SurgeData/N=1000/11-surge_w.csv b/SurgeData/11-surge_w.csv similarity index 100% rename from SurgeData/N=1000/11-surge_w.csv rename to SurgeData/11-surge_w.csv diff --git a/SurgeData/N=1000/11-time_c.csv b/SurgeData/11-time_c.csv similarity index 100% rename from SurgeData/N=1000/11-time_c.csv rename to SurgeData/11-time_c.csv diff --git a/SurgeData/N=1000/11-time_w.csv b/SurgeData/11-time_w.csv similarity index 100% rename from SurgeData/N=1000/11-time_w.csv rename to SurgeData/11-time_w.csv diff --git a/SurgeData/N=1000/11-waterlevel_c.csv b/SurgeData/11-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/11-waterlevel_c.csv rename to SurgeData/11-waterlevel_c.csv diff --git a/SurgeData/N=1000/11-waterlevel_w.csv b/SurgeData/11-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/11-waterlevel_w.csv rename to SurgeData/11-waterlevel_w.csv diff --git a/SurgeData/110-num_storm.csv b/SurgeData/110-num_storm.csv new file mode 100644 index 00000000..8d17f2a5 --- /dev/null +++ b/SurgeData/110-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,5.0 +2022,0.0,1.0 +2023,1.0,3.0 +2024,1.0,0.0 +2025,1.0,1.0 +2026,1.0,1.0 +2027,1.0,3.0 +2028,2.0,4.0 +2029,1.0,2.0 +2030,1.0,3.0 +2031,0.0,7.0 +2032,1.0,4.0 +2033,0.0,3.0 +2034,0.0,1.0 +2035,0.0,3.0 +2036,1.0,9.0 +2037,3.0,3.0 +2038,2.0,1.0 +2039,1.0,5.0 +2040,4.0,2.0 +2041,0.0,1.0 +2042,4.0,6.0 +2043,2.0,3.0 +2044,2.0,4.0 +2045,2.0,2.0 +2046,5.0,7.0 +2047,2.0,7.0 +2048,1.0,5.0 +2049,3.0,3.0 +2050,2.0,1.0 +2051,1.0,2.0 +2052,1.0,6.0 +2053,0.0,5.0 +2054,2.0,6.0 +2055,3.0,5.0 +2056,2.0,3.0 +2057,4.0,5.0 +2058,2.0,3.0 +2059,2.0,4.0 +2060,2.0,2.0 +2061,1.0,4.0 +2062,2.0,4.0 +2063,0.0,1.0 +2064,0.0,2.0 +2065,3.0,5.0 +2066,0.0,3.0 +2067,1.0,5.0 +2068,2.0,4.0 +2069,2.0,5.0 +2070,1.0,5.0 +2071,2.0,8.0 +2072,1.0,5.0 +2073,3.0,6.0 +2074,2.0,2.0 +2075,3.0,5.0 +2076,0.0,3.0 +2077,1.0,0.0 +2078,4.0,5.0 +2079,3.0,7.0 +2080,1.0,5.0 +2081,4.0,4.0 +2082,1.0,4.0 +2083,4.0,2.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,3.0,2.0 +2087,5.0,2.0 +2088,3.0,4.0 +2089,1.0,5.0 +2090,0.0,1.0 +2091,3.0,5.0 +2092,1.0,4.0 +2093,1.0,9.0 +2094,2.0,7.0 +2095,0.0,5.0 +2096,1.0,6.0 +2097,0.0,5.0 +2098,2.0,6.0 +2099,2.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/110-peak+year_c.csv b/SurgeData/110-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/110-peak+year_c.csv rename to SurgeData/110-peak+year_c.csv diff --git a/SurgeData/N=1000/110-peak+year_w.csv b/SurgeData/110-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/110-peak+year_w.csv rename to SurgeData/110-peak+year_w.csv diff --git a/SurgeData/N=1000/110-peak_c.csv b/SurgeData/110-peak_c.csv similarity index 100% rename from SurgeData/N=1000/110-peak_c.csv rename to SurgeData/110-peak_c.csv diff --git a/SurgeData/N=1000/110-peak_w.csv b/SurgeData/110-peak_w.csv similarity index 100% rename from SurgeData/N=1000/110-peak_w.csv rename to SurgeData/110-peak_w.csv diff --git a/SurgeData/N=1000/110-surge_c.csv b/SurgeData/110-surge_c.csv similarity index 100% rename from SurgeData/N=1000/110-surge_c.csv rename to SurgeData/110-surge_c.csv diff --git a/SurgeData/N=1000/110-surge_w.csv b/SurgeData/110-surge_w.csv similarity index 100% rename from SurgeData/N=1000/110-surge_w.csv rename to SurgeData/110-surge_w.csv diff --git a/SurgeData/N=1000/110-time_c.csv b/SurgeData/110-time_c.csv similarity index 100% rename from SurgeData/N=1000/110-time_c.csv rename to SurgeData/110-time_c.csv diff --git a/SurgeData/N=1000/110-time_w.csv b/SurgeData/110-time_w.csv similarity index 100% rename from SurgeData/N=1000/110-time_w.csv rename to SurgeData/110-time_w.csv diff --git a/SurgeData/N=1000/110-waterlevel_c.csv b/SurgeData/110-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/110-waterlevel_c.csv rename to SurgeData/110-waterlevel_c.csv diff --git a/SurgeData/N=1000/110-waterlevel_w.csv b/SurgeData/110-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/110-waterlevel_w.csv rename to SurgeData/110-waterlevel_w.csv diff --git a/SurgeData/111-num_storm.csv b/SurgeData/111-num_storm.csv new file mode 100644 index 00000000..1e2623ce --- /dev/null +++ b/SurgeData/111-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,3.0 +2022,3.0,11.0 +2023,1.0,2.0 +2024,0.0,4.0 +2025,2.0,7.0 +2026,1.0,5.0 +2027,2.0,3.0 +2028,0.0,5.0 +2029,2.0,3.0 +2030,0.0,6.0 +2031,2.0,8.0 +2032,2.0,3.0 +2033,4.0,4.0 +2034,0.0,6.0 +2035,2.0,6.0 +2036,1.0,6.0 +2037,2.0,1.0 +2038,2.0,7.0 +2039,2.0,4.0 +2040,2.0,3.0 +2041,3.0,6.0 +2042,2.0,6.0 +2043,3.0,3.0 +2044,1.0,7.0 +2045,4.0,9.0 +2046,1.0,6.0 +2047,0.0,4.0 +2048,3.0,8.0 +2049,4.0,5.0 +2050,3.0,2.0 +2051,1.0,3.0 +2052,3.0,5.0 +2053,2.0,3.0 +2054,2.0,3.0 +2055,1.0,5.0 +2056,2.0,2.0 +2057,0.0,3.0 +2058,3.0,5.0 +2059,2.0,4.0 +2060,2.0,5.0 +2061,6.0,3.0 +2062,0.0,4.0 +2063,1.0,8.0 +2064,1.0,9.0 +2065,1.0,5.0 +2066,1.0,2.0 +2067,0.0,3.0 +2068,2.0,8.0 +2069,2.0,4.0 +2070,1.0,5.0 +2071,4.0,6.0 +2072,3.0,3.0 +2073,1.0,8.0 +2074,2.0,3.0 +2075,1.0,7.0 +2076,0.0,5.0 +2077,2.0,3.0 +2078,2.0,2.0 +2079,0.0,3.0 +2080,3.0,2.0 +2081,1.0,3.0 +2082,1.0,3.0 +2083,1.0,1.0 +2084,4.0,1.0 +2085,0.0,3.0 +2086,3.0,3.0 +2087,0.0,4.0 +2088,2.0,1.0 +2089,1.0,3.0 +2090,2.0,4.0 +2091,2.0,5.0 +2092,2.0,1.0 +2093,2.0,7.0 +2094,3.0,1.0 +2095,1.0,5.0 +2096,0.0,2.0 +2097,0.0,4.0 +2098,1.0,3.0 +2099,2.0,2.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/111-peak+year_c.csv b/SurgeData/111-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/111-peak+year_c.csv rename to SurgeData/111-peak+year_c.csv diff --git a/SurgeData/N=1000/111-peak+year_w.csv b/SurgeData/111-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/111-peak+year_w.csv rename to SurgeData/111-peak+year_w.csv diff --git a/SurgeData/N=1000/111-peak_c.csv b/SurgeData/111-peak_c.csv similarity index 100% rename from SurgeData/N=1000/111-peak_c.csv rename to SurgeData/111-peak_c.csv diff --git a/SurgeData/N=1000/111-peak_w.csv b/SurgeData/111-peak_w.csv similarity index 100% rename from SurgeData/N=1000/111-peak_w.csv rename to SurgeData/111-peak_w.csv diff --git a/SurgeData/N=1000/111-surge_c.csv b/SurgeData/111-surge_c.csv similarity index 100% rename from SurgeData/N=1000/111-surge_c.csv rename to SurgeData/111-surge_c.csv diff --git a/SurgeData/N=1000/111-surge_w.csv b/SurgeData/111-surge_w.csv similarity index 100% rename from SurgeData/N=1000/111-surge_w.csv rename to SurgeData/111-surge_w.csv diff --git a/SurgeData/N=1000/111-time_c.csv b/SurgeData/111-time_c.csv similarity index 100% rename from SurgeData/N=1000/111-time_c.csv rename to SurgeData/111-time_c.csv diff --git a/SurgeData/N=1000/111-time_w.csv b/SurgeData/111-time_w.csv similarity index 100% rename from SurgeData/N=1000/111-time_w.csv rename to SurgeData/111-time_w.csv diff --git a/SurgeData/N=1000/111-waterlevel_c.csv b/SurgeData/111-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/111-waterlevel_c.csv rename to SurgeData/111-waterlevel_c.csv diff --git a/SurgeData/N=1000/111-waterlevel_w.csv b/SurgeData/111-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/111-waterlevel_w.csv rename to SurgeData/111-waterlevel_w.csv diff --git a/SurgeData/112-num_storm.csv b/SurgeData/112-num_storm.csv new file mode 100644 index 00000000..3ca5c8b6 --- /dev/null +++ b/SurgeData/112-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,2.0 +2022,3.0,6.0 +2023,0.0,4.0 +2024,3.0,5.0 +2025,3.0,2.0 +2026,2.0,6.0 +2027,1.0,4.0 +2028,1.0,2.0 +2029,3.0,9.0 +2030,2.0,3.0 +2031,1.0,8.0 +2032,1.0,3.0 +2033,1.0,3.0 +2034,3.0,6.0 +2035,1.0,7.0 +2036,2.0,6.0 +2037,1.0,1.0 +2038,2.0,3.0 +2039,3.0,9.0 +2040,3.0,4.0 +2041,0.0,2.0 +2042,4.0,7.0 +2043,3.0,3.0 +2044,1.0,5.0 +2045,3.0,8.0 +2046,1.0,4.0 +2047,3.0,2.0 +2048,0.0,2.0 +2049,5.0,4.0 +2050,1.0,3.0 +2051,0.0,1.0 +2052,1.0,3.0 +2053,2.0,6.0 +2054,0.0,2.0 +2055,1.0,3.0 +2056,2.0,1.0 +2057,0.0,3.0 +2058,2.0,6.0 +2059,0.0,2.0 +2060,2.0,3.0 +2061,1.0,2.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,0.0,2.0 +2065,1.0,3.0 +2066,1.0,3.0 +2067,2.0,7.0 +2068,0.0,2.0 +2069,1.0,4.0 +2070,0.0,1.0 +2071,1.0,2.0 +2072,2.0,3.0 +2073,5.0,3.0 +2074,1.0,1.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,4.0,7.0 +2078,2.0,5.0 +2079,2.0,5.0 +2080,2.0,3.0 +2081,0.0,3.0 +2082,4.0,2.0 +2083,1.0,1.0 +2084,2.0,3.0 +2085,1.0,6.0 +2086,1.0,2.0 +2087,3.0,2.0 +2088,0.0,4.0 +2089,3.0,4.0 +2090,1.0,5.0 +2091,0.0,5.0 +2092,2.0,3.0 +2093,0.0,7.0 +2094,4.0,4.0 +2095,1.0,6.0 +2096,1.0,3.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,0.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/112-peak+year_c.csv b/SurgeData/112-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/112-peak+year_c.csv rename to SurgeData/112-peak+year_c.csv diff --git a/SurgeData/N=1000/112-peak+year_w.csv b/SurgeData/112-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/112-peak+year_w.csv rename to SurgeData/112-peak+year_w.csv diff --git a/SurgeData/N=1000/112-peak_c.csv b/SurgeData/112-peak_c.csv similarity index 100% rename from SurgeData/N=1000/112-peak_c.csv rename to SurgeData/112-peak_c.csv diff --git a/SurgeData/N=1000/112-peak_w.csv b/SurgeData/112-peak_w.csv similarity index 100% rename from SurgeData/N=1000/112-peak_w.csv rename to SurgeData/112-peak_w.csv diff --git a/SurgeData/N=1000/112-surge_c.csv b/SurgeData/112-surge_c.csv similarity index 100% rename from SurgeData/N=1000/112-surge_c.csv rename to SurgeData/112-surge_c.csv diff --git a/SurgeData/N=1000/112-surge_w.csv b/SurgeData/112-surge_w.csv similarity index 100% rename from SurgeData/N=1000/112-surge_w.csv rename to SurgeData/112-surge_w.csv diff --git a/SurgeData/N=1000/112-time_c.csv b/SurgeData/112-time_c.csv similarity index 100% rename from SurgeData/N=1000/112-time_c.csv rename to SurgeData/112-time_c.csv diff --git a/SurgeData/N=1000/112-time_w.csv b/SurgeData/112-time_w.csv similarity index 100% rename from SurgeData/N=1000/112-time_w.csv rename to SurgeData/112-time_w.csv diff --git a/SurgeData/N=1000/112-waterlevel_c.csv b/SurgeData/112-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/112-waterlevel_c.csv rename to SurgeData/112-waterlevel_c.csv diff --git a/SurgeData/N=1000/112-waterlevel_w.csv b/SurgeData/112-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/112-waterlevel_w.csv rename to SurgeData/112-waterlevel_w.csv diff --git a/SurgeData/113-num_storm.csv b/SurgeData/113-num_storm.csv new file mode 100644 index 00000000..184a5c42 --- /dev/null +++ b/SurgeData/113-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,3.0,7.0 +2022,1.0,2.0 +2023,3.0,0.0 +2024,2.0,3.0 +2025,0.0,1.0 +2026,1.0,3.0 +2027,1.0,6.0 +2028,2.0,5.0 +2029,3.0,3.0 +2030,0.0,1.0 +2031,1.0,4.0 +2032,0.0,2.0 +2033,0.0,1.0 +2034,0.0,3.0 +2035,2.0,2.0 +2036,0.0,5.0 +2037,0.0,5.0 +2038,4.0,6.0 +2039,3.0,4.0 +2040,3.0,3.0 +2041,2.0,3.0 +2042,3.0,2.0 +2043,3.0,4.0 +2044,2.0,6.0 +2045,0.0,8.0 +2046,3.0,4.0 +2047,3.0,2.0 +2048,0.0,3.0 +2049,3.0,0.0 +2050,2.0,4.0 +2051,2.0,3.0 +2052,4.0,4.0 +2053,1.0,6.0 +2054,0.0,5.0 +2055,0.0,2.0 +2056,3.0,3.0 +2057,1.0,2.0 +2058,2.0,4.0 +2059,0.0,3.0 +2060,2.0,4.0 +2061,1.0,6.0 +2062,2.0,3.0 +2063,1.0,5.0 +2064,0.0,3.0 +2065,2.0,3.0 +2066,1.0,1.0 +2067,0.0,4.0 +2068,3.0,5.0 +2069,2.0,1.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,5.0,5.0 +2073,2.0,4.0 +2074,1.0,2.0 +2075,1.0,3.0 +2076,3.0,2.0 +2077,1.0,3.0 +2078,1.0,1.0 +2079,2.0,6.0 +2080,1.0,6.0 +2081,3.0,2.0 +2082,1.0,3.0 +2083,7.0,5.0 +2084,3.0,5.0 +2085,3.0,4.0 +2086,2.0,1.0 +2087,3.0,7.0 +2088,3.0,2.0 +2089,0.0,5.0 +2090,2.0,4.0 +2091,0.0,1.0 +2092,0.0,6.0 +2093,1.0,4.0 +2094,3.0,5.0 +2095,1.0,5.0 +2096,2.0,3.0 +2097,2.0,6.0 +2098,1.0,5.0 +2099,1.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/113-peak+year_c.csv b/SurgeData/113-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/113-peak+year_c.csv rename to SurgeData/113-peak+year_c.csv diff --git a/SurgeData/N=1000/113-peak+year_w.csv b/SurgeData/113-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/113-peak+year_w.csv rename to SurgeData/113-peak+year_w.csv diff --git a/SurgeData/N=1000/113-peak_c.csv b/SurgeData/113-peak_c.csv similarity index 100% rename from SurgeData/N=1000/113-peak_c.csv rename to SurgeData/113-peak_c.csv diff --git a/SurgeData/N=1000/113-peak_w.csv b/SurgeData/113-peak_w.csv similarity index 100% rename from SurgeData/N=1000/113-peak_w.csv rename to SurgeData/113-peak_w.csv diff --git a/SurgeData/N=1000/113-surge_c.csv b/SurgeData/113-surge_c.csv similarity index 100% rename from SurgeData/N=1000/113-surge_c.csv rename to SurgeData/113-surge_c.csv diff --git a/SurgeData/N=1000/113-surge_w.csv b/SurgeData/113-surge_w.csv similarity index 100% rename from SurgeData/N=1000/113-surge_w.csv rename to SurgeData/113-surge_w.csv diff --git a/SurgeData/N=1000/113-time_c.csv b/SurgeData/113-time_c.csv similarity index 100% rename from SurgeData/N=1000/113-time_c.csv rename to SurgeData/113-time_c.csv diff --git a/SurgeData/N=1000/113-time_w.csv b/SurgeData/113-time_w.csv similarity index 100% rename from SurgeData/N=1000/113-time_w.csv rename to SurgeData/113-time_w.csv diff --git a/SurgeData/N=1000/113-waterlevel_c.csv b/SurgeData/113-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/113-waterlevel_c.csv rename to SurgeData/113-waterlevel_c.csv diff --git a/SurgeData/N=1000/113-waterlevel_w.csv b/SurgeData/113-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/113-waterlevel_w.csv rename to SurgeData/113-waterlevel_w.csv diff --git a/SurgeData/N=1000/114-peak+year_c.csv b/SurgeData/114-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/114-peak+year_c.csv rename to SurgeData/114-peak+year_c.csv diff --git a/SurgeData/N=1000/114-peak+year_w.csv b/SurgeData/114-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/114-peak+year_w.csv rename to SurgeData/114-peak+year_w.csv diff --git a/SurgeData/N=1000/114-peak_c.csv b/SurgeData/114-peak_c.csv similarity index 100% rename from SurgeData/N=1000/114-peak_c.csv rename to SurgeData/114-peak_c.csv diff --git a/SurgeData/N=1000/114-peak_w.csv b/SurgeData/114-peak_w.csv similarity index 100% rename from SurgeData/N=1000/114-peak_w.csv rename to SurgeData/114-peak_w.csv diff --git a/SurgeData/N=1000/114-surge_c.csv b/SurgeData/114-surge_c.csv similarity index 100% rename from SurgeData/N=1000/114-surge_c.csv rename to SurgeData/114-surge_c.csv diff --git a/SurgeData/N=1000/114-surge_w.csv b/SurgeData/114-surge_w.csv similarity index 100% rename from SurgeData/N=1000/114-surge_w.csv rename to SurgeData/114-surge_w.csv diff --git a/SurgeData/N=1000/114-time_c.csv b/SurgeData/114-time_c.csv similarity index 100% rename from SurgeData/N=1000/114-time_c.csv rename to SurgeData/114-time_c.csv diff --git a/SurgeData/N=1000/114-time_w.csv b/SurgeData/114-time_w.csv similarity index 100% rename from SurgeData/N=1000/114-time_w.csv rename to SurgeData/114-time_w.csv diff --git a/SurgeData/N=1000/114-waterlevel_c.csv b/SurgeData/114-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/114-waterlevel_c.csv rename to SurgeData/114-waterlevel_c.csv diff --git a/SurgeData/N=1000/114-waterlevel_w.csv b/SurgeData/114-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/114-waterlevel_w.csv rename to SurgeData/114-waterlevel_w.csv diff --git a/SurgeData/115-num_storm.csv b/SurgeData/115-num_storm.csv new file mode 100644 index 00000000..d7d49d50 --- /dev/null +++ b/SurgeData/115-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,4.0 +2022,0.0,5.0 +2023,3.0,1.0 +2024,4.0,5.0 +2025,1.0,3.0 +2026,1.0,6.0 +2027,1.0,4.0 +2028,1.0,4.0 +2029,1.0,5.0 +2030,3.0,4.0 +2031,1.0,6.0 +2032,1.0,5.0 +2033,0.0,7.0 +2034,2.0,3.0 +2035,2.0,6.0 +2036,0.0,4.0 +2037,3.0,2.0 +2038,0.0,4.0 +2039,0.0,6.0 +2040,1.0,9.0 +2041,2.0,3.0 +2042,2.0,1.0 +2043,3.0,7.0 +2044,2.0,0.0 +2045,3.0,4.0 +2046,0.0,6.0 +2047,3.0,2.0 +2048,4.0,3.0 +2049,3.0,1.0 +2050,3.0,5.0 +2051,1.0,3.0 +2052,3.0,0.0 +2053,4.0,4.0 +2054,0.0,2.0 +2055,3.0,5.0 +2056,4.0,3.0 +2057,3.0,6.0 +2058,1.0,6.0 +2059,0.0,3.0 +2060,0.0,4.0 +2061,2.0,1.0 +2062,2.0,2.0 +2063,2.0,7.0 +2064,2.0,5.0 +2065,6.0,4.0 +2066,1.0,4.0 +2067,4.0,3.0 +2068,0.0,2.0 +2069,0.0,2.0 +2070,4.0,8.0 +2071,2.0,0.0 +2072,2.0,4.0 +2073,0.0,6.0 +2074,2.0,3.0 +2075,0.0,3.0 +2076,2.0,8.0 +2077,2.0,1.0 +2078,3.0,5.0 +2079,3.0,3.0 +2080,1.0,4.0 +2081,1.0,8.0 +2082,0.0,3.0 +2083,4.0,4.0 +2084,1.0,8.0 +2085,1.0,3.0 +2086,0.0,6.0 +2087,0.0,2.0 +2088,1.0,2.0 +2089,2.0,4.0 +2090,4.0,4.0 +2091,0.0,1.0 +2092,5.0,4.0 +2093,2.0,2.0 +2094,1.0,7.0 +2095,3.0,5.0 +2096,2.0,3.0 +2097,1.0,5.0 +2098,1.0,4.0 +2099,1.0,4.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/115-peak+year_c.csv b/SurgeData/115-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/115-peak+year_c.csv rename to SurgeData/115-peak+year_c.csv diff --git a/SurgeData/N=1000/115-peak+year_w.csv b/SurgeData/115-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/115-peak+year_w.csv rename to SurgeData/115-peak+year_w.csv diff --git a/SurgeData/N=1000/115-peak_c.csv b/SurgeData/115-peak_c.csv similarity index 100% rename from SurgeData/N=1000/115-peak_c.csv rename to SurgeData/115-peak_c.csv diff --git a/SurgeData/N=1000/115-peak_w.csv b/SurgeData/115-peak_w.csv similarity index 100% rename from SurgeData/N=1000/115-peak_w.csv rename to SurgeData/115-peak_w.csv diff --git a/SurgeData/N=1000/115-surge_c.csv b/SurgeData/115-surge_c.csv similarity index 100% rename from SurgeData/N=1000/115-surge_c.csv rename to SurgeData/115-surge_c.csv diff --git a/SurgeData/N=1000/115-surge_w.csv b/SurgeData/115-surge_w.csv similarity index 100% rename from SurgeData/N=1000/115-surge_w.csv rename to SurgeData/115-surge_w.csv diff --git a/SurgeData/N=1000/115-time_c.csv b/SurgeData/115-time_c.csv similarity index 100% rename from SurgeData/N=1000/115-time_c.csv rename to SurgeData/115-time_c.csv diff --git a/SurgeData/N=1000/115-time_w.csv b/SurgeData/115-time_w.csv similarity index 100% rename from SurgeData/N=1000/115-time_w.csv rename to SurgeData/115-time_w.csv diff --git a/SurgeData/N=1000/115-waterlevel_c.csv b/SurgeData/115-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/115-waterlevel_c.csv rename to SurgeData/115-waterlevel_c.csv diff --git a/SurgeData/N=1000/115-waterlevel_w.csv b/SurgeData/115-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/115-waterlevel_w.csv rename to SurgeData/115-waterlevel_w.csv diff --git a/SurgeData/116-num_storm.csv b/SurgeData/116-num_storm.csv new file mode 100644 index 00000000..02eb3381 --- /dev/null +++ b/SurgeData/116-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,3.0,2.0 +2022,1.0,6.0 +2023,1.0,3.0 +2024,0.0,5.0 +2025,3.0,5.0 +2026,0.0,4.0 +2027,3.0,2.0 +2028,1.0,1.0 +2029,1.0,3.0 +2030,2.0,1.0 +2031,5.0,7.0 +2032,2.0,9.0 +2033,1.0,5.0 +2034,2.0,6.0 +2035,2.0,6.0 +2036,0.0,5.0 +2037,2.0,8.0 +2038,1.0,3.0 +2039,0.0,4.0 +2040,1.0,12.0 +2041,1.0,2.0 +2042,3.0,9.0 +2043,1.0,2.0 +2044,4.0,1.0 +2045,1.0,3.0 +2046,0.0,0.0 +2047,1.0,4.0 +2048,3.0,11.0 +2049,2.0,5.0 +2050,4.0,6.0 +2051,1.0,2.0 +2052,3.0,0.0 +2053,1.0,4.0 +2054,2.0,4.0 +2055,2.0,6.0 +2056,2.0,4.0 +2057,3.0,5.0 +2058,3.0,8.0 +2059,3.0,4.0 +2060,2.0,4.0 +2061,3.0,5.0 +2062,4.0,7.0 +2063,2.0,7.0 +2064,1.0,3.0 +2065,0.0,6.0 +2066,0.0,4.0 +2067,2.0,2.0 +2068,2.0,0.0 +2069,0.0,2.0 +2070,0.0,8.0 +2071,1.0,6.0 +2072,1.0,6.0 +2073,1.0,3.0 +2074,2.0,7.0 +2075,4.0,3.0 +2076,1.0,5.0 +2077,0.0,4.0 +2078,0.0,2.0 +2079,0.0,6.0 +2080,0.0,2.0 +2081,5.0,3.0 +2082,1.0,3.0 +2083,4.0,3.0 +2084,2.0,4.0 +2085,1.0,4.0 +2086,3.0,3.0 +2087,1.0,5.0 +2088,2.0,4.0 +2089,0.0,4.0 +2090,2.0,5.0 +2091,0.0,6.0 +2092,1.0,3.0 +2093,0.0,2.0 +2094,0.0,3.0 +2095,1.0,4.0 +2096,1.0,6.0 +2097,0.0,2.0 +2098,2.0,6.0 +2099,2.0,6.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/116-peak+year_c.csv b/SurgeData/116-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/116-peak+year_c.csv rename to SurgeData/116-peak+year_c.csv diff --git a/SurgeData/N=1000/116-peak+year_w.csv b/SurgeData/116-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/116-peak+year_w.csv rename to SurgeData/116-peak+year_w.csv diff --git a/SurgeData/N=1000/116-peak_c.csv b/SurgeData/116-peak_c.csv similarity index 100% rename from SurgeData/N=1000/116-peak_c.csv rename to SurgeData/116-peak_c.csv diff --git a/SurgeData/N=1000/116-peak_w.csv b/SurgeData/116-peak_w.csv similarity index 100% rename from SurgeData/N=1000/116-peak_w.csv rename to SurgeData/116-peak_w.csv diff --git a/SurgeData/N=1000/116-surge_c.csv b/SurgeData/116-surge_c.csv similarity index 100% rename from SurgeData/N=1000/116-surge_c.csv rename to SurgeData/116-surge_c.csv diff --git a/SurgeData/N=1000/116-surge_w.csv b/SurgeData/116-surge_w.csv similarity index 100% rename from SurgeData/N=1000/116-surge_w.csv rename to SurgeData/116-surge_w.csv diff --git a/SurgeData/N=1000/116-time_c.csv b/SurgeData/116-time_c.csv similarity index 100% rename from SurgeData/N=1000/116-time_c.csv rename to SurgeData/116-time_c.csv diff --git a/SurgeData/N=1000/116-time_w.csv b/SurgeData/116-time_w.csv similarity index 100% rename from SurgeData/N=1000/116-time_w.csv rename to SurgeData/116-time_w.csv diff --git a/SurgeData/N=1000/116-waterlevel_c.csv b/SurgeData/116-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/116-waterlevel_c.csv rename to SurgeData/116-waterlevel_c.csv diff --git a/SurgeData/N=1000/116-waterlevel_w.csv b/SurgeData/116-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/116-waterlevel_w.csv rename to SurgeData/116-waterlevel_w.csv diff --git a/SurgeData/117-num_storm.csv b/SurgeData/117-num_storm.csv new file mode 100644 index 00000000..9a05165c --- /dev/null +++ b/SurgeData/117-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,11.0 +2021,2.0,3.0 +2022,0.0,4.0 +2023,0.0,4.0 +2024,3.0,5.0 +2025,2.0,1.0 +2026,5.0,5.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,1.0,2.0 +2030,0.0,3.0 +2031,1.0,5.0 +2032,1.0,3.0 +2033,1.0,6.0 +2034,2.0,6.0 +2035,3.0,7.0 +2036,1.0,6.0 +2037,2.0,4.0 +2038,1.0,6.0 +2039,1.0,1.0 +2040,1.0,3.0 +2041,2.0,4.0 +2042,1.0,4.0 +2043,3.0,6.0 +2044,1.0,9.0 +2045,1.0,4.0 +2046,3.0,4.0 +2047,0.0,8.0 +2048,2.0,2.0 +2049,0.0,7.0 +2050,0.0,4.0 +2051,2.0,3.0 +2052,1.0,3.0 +2053,2.0,1.0 +2054,2.0,5.0 +2055,0.0,4.0 +2056,2.0,8.0 +2057,4.0,6.0 +2058,1.0,5.0 +2059,1.0,7.0 +2060,2.0,6.0 +2061,1.0,1.0 +2062,0.0,4.0 +2063,1.0,7.0 +2064,4.0,4.0 +2065,0.0,1.0 +2066,0.0,5.0 +2067,1.0,10.0 +2068,3.0,9.0 +2069,1.0,2.0 +2070,4.0,2.0 +2071,2.0,2.0 +2072,5.0,5.0 +2073,3.0,6.0 +2074,2.0,4.0 +2075,0.0,3.0 +2076,5.0,3.0 +2077,2.0,6.0 +2078,0.0,1.0 +2079,2.0,6.0 +2080,0.0,3.0 +2081,1.0,8.0 +2082,1.0,2.0 +2083,1.0,4.0 +2084,2.0,5.0 +2085,4.0,3.0 +2086,3.0,6.0 +2087,3.0,3.0 +2088,4.0,4.0 +2089,0.0,5.0 +2090,2.0,6.0 +2091,1.0,2.0 +2092,3.0,4.0 +2093,4.0,3.0 +2094,1.0,5.0 +2095,3.0,7.0 +2096,1.0,4.0 +2097,1.0,0.0 +2098,1.0,5.0 +2099,2.0,6.0 +2100,2.0,9.0 diff --git a/SurgeData/N=1000/117-peak+year_c.csv b/SurgeData/117-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/117-peak+year_c.csv rename to SurgeData/117-peak+year_c.csv diff --git a/SurgeData/N=1000/117-peak+year_w.csv b/SurgeData/117-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/117-peak+year_w.csv rename to SurgeData/117-peak+year_w.csv diff --git a/SurgeData/N=1000/117-peak_c.csv b/SurgeData/117-peak_c.csv similarity index 100% rename from SurgeData/N=1000/117-peak_c.csv rename to SurgeData/117-peak_c.csv diff --git a/SurgeData/N=1000/117-peak_w.csv b/SurgeData/117-peak_w.csv similarity index 100% rename from SurgeData/N=1000/117-peak_w.csv rename to SurgeData/117-peak_w.csv diff --git a/SurgeData/N=1000/117-surge_c.csv b/SurgeData/117-surge_c.csv similarity index 100% rename from SurgeData/N=1000/117-surge_c.csv rename to SurgeData/117-surge_c.csv diff --git a/SurgeData/N=1000/117-surge_w.csv b/SurgeData/117-surge_w.csv similarity index 100% rename from SurgeData/N=1000/117-surge_w.csv rename to SurgeData/117-surge_w.csv diff --git a/SurgeData/N=1000/117-time_c.csv b/SurgeData/117-time_c.csv similarity index 100% rename from SurgeData/N=1000/117-time_c.csv rename to SurgeData/117-time_c.csv diff --git a/SurgeData/N=1000/117-time_w.csv b/SurgeData/117-time_w.csv similarity index 100% rename from SurgeData/N=1000/117-time_w.csv rename to SurgeData/117-time_w.csv diff --git a/SurgeData/N=1000/117-waterlevel_c.csv b/SurgeData/117-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/117-waterlevel_c.csv rename to SurgeData/117-waterlevel_c.csv diff --git a/SurgeData/N=1000/117-waterlevel_w.csv b/SurgeData/117-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/117-waterlevel_w.csv rename to SurgeData/117-waterlevel_w.csv diff --git a/SurgeData/118-num_storm.csv b/SurgeData/118-num_storm.csv new file mode 100644 index 00000000..38127ebd --- /dev/null +++ b/SurgeData/118-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,1.0,3.0 +2022,2.0,1.0 +2023,2.0,8.0 +2024,2.0,3.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,2.0,1.0 +2028,3.0,5.0 +2029,0.0,4.0 +2030,2.0,5.0 +2031,3.0,3.0 +2032,6.0,8.0 +2033,1.0,2.0 +2034,0.0,5.0 +2035,6.0,0.0 +2036,2.0,3.0 +2037,2.0,6.0 +2038,1.0,5.0 +2039,2.0,4.0 +2040,3.0,5.0 +2041,0.0,5.0 +2042,1.0,0.0 +2043,2.0,3.0 +2044,2.0,3.0 +2045,1.0,5.0 +2046,4.0,1.0 +2047,2.0,3.0 +2048,2.0,2.0 +2049,1.0,4.0 +2050,2.0,9.0 +2051,1.0,5.0 +2052,0.0,5.0 +2053,2.0,6.0 +2054,2.0,4.0 +2055,1.0,5.0 +2056,0.0,8.0 +2057,3.0,6.0 +2058,2.0,4.0 +2059,0.0,4.0 +2060,0.0,5.0 +2061,2.0,5.0 +2062,1.0,7.0 +2063,0.0,7.0 +2064,2.0,3.0 +2065,0.0,9.0 +2066,3.0,4.0 +2067,2.0,6.0 +2068,0.0,2.0 +2069,1.0,4.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,0.0,7.0 +2073,2.0,6.0 +2074,1.0,5.0 +2075,0.0,6.0 +2076,2.0,4.0 +2077,1.0,3.0 +2078,3.0,4.0 +2079,3.0,7.0 +2080,1.0,3.0 +2081,0.0,4.0 +2082,1.0,7.0 +2083,1.0,4.0 +2084,1.0,4.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,2.0,4.0 +2088,4.0,5.0 +2089,1.0,9.0 +2090,2.0,1.0 +2091,3.0,3.0 +2092,1.0,2.0 +2093,2.0,3.0 +2094,2.0,2.0 +2095,0.0,7.0 +2096,1.0,4.0 +2097,0.0,5.0 +2098,2.0,3.0 +2099,2.0,3.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/118-peak+year_c.csv b/SurgeData/118-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/118-peak+year_c.csv rename to SurgeData/118-peak+year_c.csv diff --git a/SurgeData/N=1000/118-peak+year_w.csv b/SurgeData/118-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/118-peak+year_w.csv rename to SurgeData/118-peak+year_w.csv diff --git a/SurgeData/N=1000/118-peak_c.csv b/SurgeData/118-peak_c.csv similarity index 100% rename from SurgeData/N=1000/118-peak_c.csv rename to SurgeData/118-peak_c.csv diff --git a/SurgeData/N=1000/118-peak_w.csv b/SurgeData/118-peak_w.csv similarity index 100% rename from SurgeData/N=1000/118-peak_w.csv rename to SurgeData/118-peak_w.csv diff --git a/SurgeData/N=1000/118-surge_c.csv b/SurgeData/118-surge_c.csv similarity index 100% rename from SurgeData/N=1000/118-surge_c.csv rename to SurgeData/118-surge_c.csv diff --git a/SurgeData/N=1000/118-surge_w.csv b/SurgeData/118-surge_w.csv similarity index 100% rename from SurgeData/N=1000/118-surge_w.csv rename to SurgeData/118-surge_w.csv diff --git a/SurgeData/N=1000/118-time_c.csv b/SurgeData/118-time_c.csv similarity index 100% rename from SurgeData/N=1000/118-time_c.csv rename to SurgeData/118-time_c.csv diff --git a/SurgeData/N=1000/118-time_w.csv b/SurgeData/118-time_w.csv similarity index 100% rename from SurgeData/N=1000/118-time_w.csv rename to SurgeData/118-time_w.csv diff --git a/SurgeData/N=1000/118-waterlevel_c.csv b/SurgeData/118-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/118-waterlevel_c.csv rename to SurgeData/118-waterlevel_c.csv diff --git a/SurgeData/N=1000/118-waterlevel_w.csv b/SurgeData/118-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/118-waterlevel_w.csv rename to SurgeData/118-waterlevel_w.csv diff --git a/SurgeData/119-num_storm.csv b/SurgeData/119-num_storm.csv new file mode 100644 index 00000000..524c2566 --- /dev/null +++ b/SurgeData/119-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,6.0 +2022,0.0,4.0 +2023,0.0,7.0 +2024,0.0,6.0 +2025,3.0,4.0 +2026,0.0,2.0 +2027,2.0,3.0 +2028,1.0,3.0 +2029,1.0,3.0 +2030,0.0,3.0 +2031,2.0,5.0 +2032,1.0,6.0 +2033,3.0,1.0 +2034,1.0,7.0 +2035,3.0,5.0 +2036,2.0,6.0 +2037,1.0,4.0 +2038,0.0,8.0 +2039,3.0,4.0 +2040,2.0,4.0 +2041,1.0,6.0 +2042,1.0,7.0 +2043,3.0,2.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,0.0,6.0 +2047,0.0,4.0 +2048,0.0,0.0 +2049,1.0,4.0 +2050,2.0,3.0 +2051,2.0,2.0 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SurgeData/N=1000/119-peak+year_w.csv rename to SurgeData/119-peak+year_w.csv diff --git a/SurgeData/N=1000/119-peak_c.csv b/SurgeData/119-peak_c.csv similarity index 100% rename from SurgeData/N=1000/119-peak_c.csv rename to SurgeData/119-peak_c.csv diff --git a/SurgeData/N=1000/119-peak_w.csv b/SurgeData/119-peak_w.csv similarity index 100% rename from SurgeData/N=1000/119-peak_w.csv rename to SurgeData/119-peak_w.csv diff --git a/SurgeData/N=1000/119-surge_c.csv b/SurgeData/119-surge_c.csv similarity index 100% rename from SurgeData/N=1000/119-surge_c.csv rename to SurgeData/119-surge_c.csv diff --git a/SurgeData/N=1000/119-surge_w.csv b/SurgeData/119-surge_w.csv similarity index 100% rename from SurgeData/N=1000/119-surge_w.csv rename to SurgeData/119-surge_w.csv diff --git a/SurgeData/N=1000/119-time_c.csv b/SurgeData/119-time_c.csv similarity index 100% rename from SurgeData/N=1000/119-time_c.csv rename to SurgeData/119-time_c.csv diff --git a/SurgeData/N=1000/119-time_w.csv b/SurgeData/119-time_w.csv similarity index 100% rename from SurgeData/N=1000/119-time_w.csv rename to SurgeData/119-time_w.csv diff --git a/SurgeData/N=1000/119-waterlevel_c.csv b/SurgeData/119-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/119-waterlevel_c.csv rename to SurgeData/119-waterlevel_c.csv diff --git a/SurgeData/N=1000/119-waterlevel_w.csv b/SurgeData/119-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/119-waterlevel_w.csv rename to SurgeData/119-waterlevel_w.csv diff --git a/SurgeData/12-num_storm.csv b/SurgeData/12-num_storm.csv new file mode 100644 index 00000000..4d6415f9 --- /dev/null +++ b/SurgeData/12-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,4.0 +2022,1.0,5.0 +2023,1.0,2.0 +2024,4.0,5.0 +2025,2.0,3.0 +2026,3.0,4.0 +2027,0.0,3.0 +2028,2.0,3.0 +2029,0.0,4.0 +2030,2.0,8.0 +2031,1.0,2.0 +2032,1.0,5.0 +2033,0.0,3.0 +2034,0.0,3.0 +2035,0.0,5.0 +2036,2.0,3.0 +2037,2.0,0.0 +2038,0.0,4.0 +2039,2.0,6.0 +2040,2.0,2.0 +2041,5.0,2.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,3.0,6.0 +2045,1.0,6.0 +2046,1.0,4.0 +2047,2.0,5.0 +2048,1.0,3.0 +2049,0.0,4.0 +2050,4.0,5.0 +2051,3.0,5.0 +2052,2.0,4.0 +2053,0.0,3.0 +2054,0.0,1.0 +2055,0.0,2.0 +2056,2.0,4.0 +2057,0.0,4.0 +2058,3.0,8.0 +2059,2.0,5.0 +2060,1.0,2.0 +2061,0.0,2.0 +2062,3.0,6.0 +2063,2.0,7.0 +2064,1.0,3.0 +2065,2.0,5.0 +2066,2.0,2.0 +2067,1.0,6.0 +2068,4.0,1.0 +2069,1.0,2.0 +2070,2.0,3.0 +2071,1.0,2.0 +2072,2.0,1.0 +2073,1.0,5.0 +2074,0.0,3.0 +2075,0.0,3.0 +2076,0.0,2.0 +2077,2.0,6.0 +2078,0.0,2.0 +2079,1.0,5.0 +2080,2.0,3.0 +2081,2.0,4.0 +2082,5.0,4.0 +2083,4.0,2.0 +2084,2.0,6.0 +2085,3.0,3.0 +2086,3.0,7.0 +2087,3.0,5.0 +2088,2.0,4.0 +2089,2.0,8.0 +2090,0.0,7.0 +2091,4.0,4.0 +2092,1.0,6.0 +2093,0.0,4.0 +2094,1.0,1.0 +2095,0.0,2.0 +2096,2.0,3.0 +2097,2.0,6.0 +2098,0.0,3.0 +2099,0.0,5.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/12-peak+year_c.csv b/SurgeData/12-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/12-peak+year_c.csv rename to SurgeData/12-peak+year_c.csv diff --git a/SurgeData/N=1000/12-peak+year_w.csv b/SurgeData/12-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/12-peak+year_w.csv rename to SurgeData/12-peak+year_w.csv diff --git a/SurgeData/N=1000/12-peak_c.csv b/SurgeData/12-peak_c.csv similarity index 100% rename from SurgeData/N=1000/12-peak_c.csv rename to SurgeData/12-peak_c.csv diff --git a/SurgeData/N=1000/12-peak_w.csv b/SurgeData/12-peak_w.csv similarity index 100% rename from SurgeData/N=1000/12-peak_w.csv rename to SurgeData/12-peak_w.csv diff --git a/SurgeData/N=1000/12-surge_c.csv b/SurgeData/12-surge_c.csv similarity index 100% rename from SurgeData/N=1000/12-surge_c.csv rename to SurgeData/12-surge_c.csv diff --git a/SurgeData/N=1000/12-surge_w.csv b/SurgeData/12-surge_w.csv similarity index 100% rename from SurgeData/N=1000/12-surge_w.csv rename to SurgeData/12-surge_w.csv diff --git a/SurgeData/N=1000/12-time_c.csv b/SurgeData/12-time_c.csv similarity index 100% rename from SurgeData/N=1000/12-time_c.csv rename to SurgeData/12-time_c.csv diff --git a/SurgeData/N=1000/12-time_w.csv b/SurgeData/12-time_w.csv similarity index 100% rename from SurgeData/N=1000/12-time_w.csv rename to SurgeData/12-time_w.csv diff --git a/SurgeData/N=1000/12-waterlevel_c.csv b/SurgeData/12-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/12-waterlevel_c.csv rename to SurgeData/12-waterlevel_c.csv diff --git a/SurgeData/N=1000/12-waterlevel_w.csv b/SurgeData/12-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/12-waterlevel_w.csv rename to SurgeData/12-waterlevel_w.csv diff --git a/SurgeData/N=1000/120-peak+year_c.csv b/SurgeData/120-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/120-peak+year_c.csv rename to SurgeData/120-peak+year_c.csv diff --git a/SurgeData/N=1000/120-peak+year_w.csv b/SurgeData/120-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/120-peak+year_w.csv rename to SurgeData/120-peak+year_w.csv diff --git a/SurgeData/N=1000/120-peak_c.csv b/SurgeData/120-peak_c.csv similarity index 100% rename from SurgeData/N=1000/120-peak_c.csv rename to SurgeData/120-peak_c.csv diff --git a/SurgeData/N=1000/120-peak_w.csv b/SurgeData/120-peak_w.csv similarity index 100% rename from SurgeData/N=1000/120-peak_w.csv rename to SurgeData/120-peak_w.csv diff --git a/SurgeData/N=1000/120-surge_c.csv b/SurgeData/120-surge_c.csv similarity index 100% rename from SurgeData/N=1000/120-surge_c.csv rename to SurgeData/120-surge_c.csv diff --git a/SurgeData/N=1000/120-surge_w.csv b/SurgeData/120-surge_w.csv similarity index 100% rename from SurgeData/N=1000/120-surge_w.csv rename to SurgeData/120-surge_w.csv diff --git a/SurgeData/N=1000/120-time_c.csv b/SurgeData/120-time_c.csv similarity index 100% rename from SurgeData/N=1000/120-time_c.csv rename to SurgeData/120-time_c.csv diff --git a/SurgeData/N=1000/120-time_w.csv b/SurgeData/120-time_w.csv similarity index 100% rename from SurgeData/N=1000/120-time_w.csv rename to SurgeData/120-time_w.csv diff --git a/SurgeData/N=1000/120-waterlevel_c.csv b/SurgeData/120-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/120-waterlevel_c.csv rename to SurgeData/120-waterlevel_c.csv diff --git a/SurgeData/N=1000/120-waterlevel_w.csv b/SurgeData/120-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/120-waterlevel_w.csv rename to SurgeData/120-waterlevel_w.csv diff --git a/SurgeData/121-num_storm.csv b/SurgeData/121-num_storm.csv new file mode 100644 index 00000000..041395f1 --- /dev/null +++ b/SurgeData/121-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,7.0 +2022,0.0,2.0 +2023,1.0,6.0 +2024,1.0,5.0 +2025,1.0,8.0 +2026,1.0,7.0 +2027,1.0,3.0 +2028,1.0,1.0 +2029,2.0,9.0 +2030,1.0,3.0 +2031,1.0,2.0 +2032,4.0,4.0 +2033,0.0,4.0 +2034,1.0,3.0 +2035,1.0,0.0 +2036,0.0,3.0 +2037,3.0,7.0 +2038,2.0,3.0 +2039,1.0,3.0 +2040,4.0,6.0 +2041,1.0,2.0 +2042,2.0,5.0 +2043,4.0,5.0 +2044,1.0,8.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,2.0,4.0 +2048,0.0,3.0 +2049,2.0,5.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,2.0,7.0 +2053,4.0,1.0 +2054,1.0,3.0 +2055,1.0,3.0 +2056,1.0,5.0 +2057,4.0,7.0 +2058,1.0,5.0 +2059,3.0,7.0 +2060,2.0,4.0 +2061,1.0,4.0 +2062,2.0,5.0 +2063,0.0,1.0 +2064,0.0,3.0 +2065,1.0,5.0 +2066,2.0,2.0 +2067,1.0,2.0 +2068,2.0,0.0 +2069,1.0,5.0 +2070,2.0,4.0 +2071,0.0,5.0 +2072,1.0,2.0 +2073,3.0,7.0 +2074,0.0,7.0 +2075,1.0,3.0 +2076,1.0,2.0 +2077,2.0,5.0 +2078,1.0,6.0 +2079,3.0,4.0 +2080,1.0,3.0 +2081,1.0,8.0 +2082,2.0,6.0 +2083,2.0,6.0 +2084,0.0,1.0 +2085,1.0,3.0 +2086,3.0,2.0 +2087,1.0,7.0 +2088,1.0,7.0 +2089,1.0,4.0 +2090,3.0,4.0 +2091,1.0,4.0 +2092,0.0,7.0 +2093,3.0,4.0 +2094,2.0,6.0 +2095,1.0,6.0 +2096,4.0,5.0 +2097,2.0,4.0 +2098,0.0,8.0 +2099,2.0,1.0 +2100,0.0,10.0 diff --git a/SurgeData/N=1000/121-peak+year_c.csv b/SurgeData/121-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/121-peak+year_c.csv rename to SurgeData/121-peak+year_c.csv diff --git a/SurgeData/N=1000/121-peak+year_w.csv b/SurgeData/121-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/121-peak+year_w.csv rename to SurgeData/121-peak+year_w.csv diff --git a/SurgeData/N=1000/121-peak_c.csv b/SurgeData/121-peak_c.csv similarity index 100% rename from SurgeData/N=1000/121-peak_c.csv rename to SurgeData/121-peak_c.csv diff --git a/SurgeData/N=1000/121-peak_w.csv b/SurgeData/121-peak_w.csv similarity index 100% rename from SurgeData/N=1000/121-peak_w.csv rename to SurgeData/121-peak_w.csv diff --git a/SurgeData/N=1000/121-surge_c.csv b/SurgeData/121-surge_c.csv similarity index 100% rename from SurgeData/N=1000/121-surge_c.csv rename to SurgeData/121-surge_c.csv diff --git a/SurgeData/N=1000/121-surge_w.csv b/SurgeData/121-surge_w.csv similarity index 100% rename from SurgeData/N=1000/121-surge_w.csv rename to SurgeData/121-surge_w.csv diff --git a/SurgeData/N=1000/121-time_c.csv b/SurgeData/121-time_c.csv similarity index 100% rename from SurgeData/N=1000/121-time_c.csv rename to SurgeData/121-time_c.csv diff --git a/SurgeData/N=1000/121-time_w.csv b/SurgeData/121-time_w.csv similarity index 100% rename from SurgeData/N=1000/121-time_w.csv rename to SurgeData/121-time_w.csv diff --git a/SurgeData/N=1000/121-waterlevel_c.csv b/SurgeData/121-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/121-waterlevel_c.csv rename to SurgeData/121-waterlevel_c.csv diff --git a/SurgeData/N=1000/121-waterlevel_w.csv b/SurgeData/121-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/121-waterlevel_w.csv rename to SurgeData/121-waterlevel_w.csv diff --git a/SurgeData/122-num_storm.csv b/SurgeData/122-num_storm.csv new file mode 100644 index 00000000..2a3330e4 --- /dev/null +++ b/SurgeData/122-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,2.0 +2021,1.0,5.0 +2022,0.0,5.0 +2023,2.0,5.0 +2024,4.0,2.0 +2025,1.0,2.0 +2026,3.0,6.0 +2027,1.0,3.0 +2028,1.0,5.0 +2029,0.0,5.0 +2030,1.0,1.0 +2031,2.0,6.0 +2032,0.0,9.0 +2033,2.0,0.0 +2034,2.0,7.0 +2035,1.0,5.0 +2036,1.0,3.0 +2037,0.0,3.0 +2038,0.0,4.0 +2039,1.0,4.0 +2040,2.0,8.0 +2041,1.0,11.0 +2042,4.0,4.0 +2043,1.0,1.0 +2044,2.0,7.0 +2045,1.0,9.0 +2046,0.0,4.0 +2047,1.0,4.0 +2048,4.0,5.0 +2049,4.0,6.0 +2050,0.0,8.0 +2051,2.0,2.0 +2052,0.0,4.0 +2053,3.0,3.0 +2054,1.0,2.0 +2055,2.0,6.0 +2056,4.0,5.0 +2057,2.0,4.0 +2058,0.0,2.0 +2059,2.0,5.0 +2060,1.0,6.0 +2061,0.0,7.0 +2062,1.0,5.0 +2063,0.0,10.0 +2064,0.0,1.0 +2065,0.0,4.0 +2066,0.0,2.0 +2067,2.0,10.0 +2068,1.0,6.0 +2069,4.0,3.0 +2070,3.0,2.0 +2071,2.0,5.0 +2072,1.0,4.0 +2073,2.0,2.0 +2074,2.0,3.0 +2075,1.0,5.0 +2076,2.0,7.0 +2077,0.0,2.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,3.0,5.0 +2081,2.0,5.0 +2082,4.0,2.0 +2083,2.0,6.0 +2084,3.0,2.0 +2085,2.0,5.0 +2086,2.0,2.0 +2087,2.0,2.0 +2088,1.0,2.0 +2089,2.0,5.0 +2090,0.0,5.0 +2091,1.0,4.0 +2092,0.0,4.0 +2093,2.0,2.0 +2094,0.0,3.0 +2095,5.0,2.0 +2096,2.0,3.0 +2097,0.0,0.0 +2098,2.0,9.0 +2099,3.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/122-peak+year_c.csv b/SurgeData/122-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/122-peak+year_c.csv rename to SurgeData/122-peak+year_c.csv diff --git a/SurgeData/N=1000/122-peak+year_w.csv b/SurgeData/122-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/122-peak+year_w.csv rename to SurgeData/122-peak+year_w.csv diff --git a/SurgeData/N=1000/122-peak_c.csv b/SurgeData/122-peak_c.csv similarity index 100% rename from SurgeData/N=1000/122-peak_c.csv rename to SurgeData/122-peak_c.csv diff --git a/SurgeData/N=1000/122-peak_w.csv b/SurgeData/122-peak_w.csv similarity index 100% rename from SurgeData/N=1000/122-peak_w.csv rename to SurgeData/122-peak_w.csv diff --git a/SurgeData/N=1000/122-surge_c.csv b/SurgeData/122-surge_c.csv similarity index 100% rename from SurgeData/N=1000/122-surge_c.csv rename to SurgeData/122-surge_c.csv diff --git a/SurgeData/N=1000/122-surge_w.csv b/SurgeData/122-surge_w.csv similarity index 100% rename from SurgeData/N=1000/122-surge_w.csv rename to SurgeData/122-surge_w.csv diff --git a/SurgeData/N=1000/122-time_c.csv b/SurgeData/122-time_c.csv similarity index 100% rename from SurgeData/N=1000/122-time_c.csv rename to SurgeData/122-time_c.csv diff --git a/SurgeData/N=1000/122-time_w.csv b/SurgeData/122-time_w.csv similarity index 100% rename from SurgeData/N=1000/122-time_w.csv rename to SurgeData/122-time_w.csv diff --git a/SurgeData/N=1000/122-waterlevel_c.csv b/SurgeData/122-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/122-waterlevel_c.csv rename to SurgeData/122-waterlevel_c.csv diff --git a/SurgeData/N=1000/122-waterlevel_w.csv b/SurgeData/122-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/122-waterlevel_w.csv rename to SurgeData/122-waterlevel_w.csv diff --git a/SurgeData/123-num_storm.csv b/SurgeData/123-num_storm.csv new file mode 100644 index 00000000..af36777e --- /dev/null +++ b/SurgeData/123-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,8.0 +2022,1.0,2.0 +2023,2.0,1.0 +2024,1.0,7.0 +2025,3.0,6.0 +2026,2.0,5.0 +2027,2.0,6.0 +2028,2.0,3.0 +2029,1.0,5.0 +2030,0.0,3.0 +2031,1.0,5.0 +2032,0.0,4.0 +2033,1.0,3.0 +2034,1.0,3.0 +2035,4.0,3.0 +2036,2.0,2.0 +2037,4.0,2.0 +2038,4.0,7.0 +2039,0.0,8.0 +2040,1.0,5.0 +2041,0.0,6.0 +2042,1.0,6.0 +2043,1.0,2.0 +2044,0.0,4.0 +2045,0.0,2.0 +2046,3.0,5.0 +2047,1.0,10.0 +2048,1.0,1.0 +2049,1.0,3.0 +2050,3.0,7.0 +2051,1.0,5.0 +2052,0.0,1.0 +2053,1.0,2.0 +2054,0.0,4.0 +2055,2.0,6.0 +2056,1.0,3.0 +2057,0.0,2.0 +2058,2.0,2.0 +2059,1.0,3.0 +2060,2.0,3.0 +2061,1.0,4.0 +2062,2.0,3.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,3.0,5.0 +2066,3.0,4.0 +2067,1.0,4.0 +2068,4.0,8.0 +2069,0.0,6.0 +2070,3.0,6.0 +2071,0.0,1.0 +2072,1.0,7.0 +2073,4.0,3.0 +2074,4.0,3.0 +2075,1.0,5.0 +2076,4.0,6.0 +2077,2.0,3.0 +2078,4.0,5.0 +2079,0.0,0.0 +2080,0.0,1.0 +2081,1.0,4.0 +2082,6.0,1.0 +2083,3.0,1.0 +2084,0.0,3.0 +2085,2.0,1.0 +2086,1.0,3.0 +2087,4.0,4.0 +2088,0.0,0.0 +2089,1.0,1.0 +2090,2.0,2.0 +2091,4.0,3.0 +2092,4.0,4.0 +2093,0.0,3.0 +2094,2.0,1.0 +2095,1.0,5.0 +2096,1.0,4.0 +2097,4.0,3.0 +2098,1.0,4.0 +2099,1.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/123-peak+year_c.csv b/SurgeData/123-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/123-peak+year_c.csv rename to SurgeData/123-peak+year_c.csv diff --git a/SurgeData/N=1000/123-peak+year_w.csv b/SurgeData/123-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/123-peak+year_w.csv rename to SurgeData/123-peak+year_w.csv diff --git a/SurgeData/N=1000/123-peak_c.csv b/SurgeData/123-peak_c.csv similarity index 100% rename from SurgeData/N=1000/123-peak_c.csv rename to SurgeData/123-peak_c.csv diff --git a/SurgeData/N=1000/123-peak_w.csv b/SurgeData/123-peak_w.csv similarity index 100% rename from SurgeData/N=1000/123-peak_w.csv rename to SurgeData/123-peak_w.csv diff --git a/SurgeData/N=1000/123-surge_c.csv b/SurgeData/123-surge_c.csv similarity index 100% rename from SurgeData/N=1000/123-surge_c.csv rename to SurgeData/123-surge_c.csv diff --git a/SurgeData/N=1000/123-surge_w.csv b/SurgeData/123-surge_w.csv similarity index 100% rename from SurgeData/N=1000/123-surge_w.csv rename to SurgeData/123-surge_w.csv diff --git a/SurgeData/N=1000/123-time_c.csv b/SurgeData/123-time_c.csv similarity index 100% rename from SurgeData/N=1000/123-time_c.csv rename to SurgeData/123-time_c.csv diff --git a/SurgeData/N=1000/123-time_w.csv b/SurgeData/123-time_w.csv similarity index 100% rename from SurgeData/N=1000/123-time_w.csv rename to SurgeData/123-time_w.csv diff --git a/SurgeData/N=1000/123-waterlevel_c.csv b/SurgeData/123-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/123-waterlevel_c.csv rename to SurgeData/123-waterlevel_c.csv diff --git a/SurgeData/N=1000/123-waterlevel_w.csv b/SurgeData/123-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/123-waterlevel_w.csv rename to SurgeData/123-waterlevel_w.csv diff --git a/SurgeData/124-num_storm.csv b/SurgeData/124-num_storm.csv new file mode 100644 index 00000000..b7d93807 --- /dev/null +++ b/SurgeData/124-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,9.0 +2022,0.0,3.0 +2023,0.0,8.0 +2024,2.0,5.0 +2025,1.0,1.0 +2026,0.0,5.0 +2027,1.0,5.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,3.0,9.0 +2031,3.0,5.0 +2032,3.0,4.0 +2033,1.0,4.0 +2034,3.0,6.0 +2035,2.0,3.0 +2036,0.0,1.0 +2037,3.0,4.0 +2038,2.0,3.0 +2039,2.0,3.0 +2040,1.0,6.0 +2041,2.0,2.0 +2042,1.0,4.0 +2043,1.0,1.0 +2044,2.0,2.0 +2045,0.0,7.0 +2046,2.0,4.0 +2047,1.0,4.0 +2048,1.0,4.0 +2049,2.0,6.0 +2050,0.0,2.0 +2051,2.0,6.0 +2052,1.0,4.0 +2053,2.0,1.0 +2054,2.0,1.0 +2055,0.0,4.0 +2056,2.0,3.0 +2057,0.0,6.0 +2058,4.0,4.0 +2059,3.0,3.0 +2060,3.0,0.0 +2061,0.0,4.0 +2062,2.0,5.0 +2063,3.0,5.0 +2064,4.0,6.0 +2065,1.0,4.0 +2066,1.0,4.0 +2067,0.0,6.0 +2068,1.0,5.0 +2069,2.0,5.0 +2070,4.0,0.0 +2071,2.0,10.0 +2072,3.0,3.0 +2073,1.0,4.0 +2074,3.0,2.0 +2075,2.0,1.0 +2076,0.0,5.0 +2077,2.0,4.0 +2078,2.0,6.0 +2079,0.0,4.0 +2080,4.0,3.0 +2081,1.0,2.0 +2082,5.0,3.0 +2083,2.0,4.0 +2084,1.0,5.0 +2085,1.0,1.0 +2086,3.0,6.0 +2087,0.0,1.0 +2088,3.0,5.0 +2089,0.0,7.0 +2090,0.0,7.0 +2091,1.0,3.0 +2092,0.0,2.0 +2093,2.0,0.0 +2094,2.0,7.0 +2095,3.0,4.0 +2096,2.0,2.0 +2097,1.0,2.0 +2098,1.0,8.0 +2099,0.0,5.0 +2100,0.0,0.0 diff --git a/SurgeData/N=1000/124-peak+year_c.csv b/SurgeData/124-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/124-peak+year_c.csv rename to SurgeData/124-peak+year_c.csv diff --git a/SurgeData/N=1000/124-peak+year_w.csv b/SurgeData/124-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/124-peak+year_w.csv rename to SurgeData/124-peak+year_w.csv diff --git a/SurgeData/N=1000/124-peak_c.csv b/SurgeData/124-peak_c.csv similarity index 100% rename from SurgeData/N=1000/124-peak_c.csv rename to SurgeData/124-peak_c.csv diff --git a/SurgeData/N=1000/124-peak_w.csv b/SurgeData/124-peak_w.csv similarity index 100% rename from SurgeData/N=1000/124-peak_w.csv rename to SurgeData/124-peak_w.csv diff --git a/SurgeData/N=1000/124-surge_c.csv b/SurgeData/124-surge_c.csv similarity index 100% rename from SurgeData/N=1000/124-surge_c.csv rename to SurgeData/124-surge_c.csv diff --git a/SurgeData/N=1000/124-surge_w.csv b/SurgeData/124-surge_w.csv similarity index 100% rename from SurgeData/N=1000/124-surge_w.csv rename to SurgeData/124-surge_w.csv diff --git a/SurgeData/N=1000/124-time_c.csv b/SurgeData/124-time_c.csv similarity index 100% rename from SurgeData/N=1000/124-time_c.csv rename to SurgeData/124-time_c.csv diff --git a/SurgeData/N=1000/124-time_w.csv b/SurgeData/124-time_w.csv similarity index 100% rename from SurgeData/N=1000/124-time_w.csv rename to SurgeData/124-time_w.csv diff --git a/SurgeData/N=1000/124-waterlevel_c.csv b/SurgeData/124-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/124-waterlevel_c.csv rename to SurgeData/124-waterlevel_c.csv diff --git a/SurgeData/N=1000/124-waterlevel_w.csv b/SurgeData/124-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/124-waterlevel_w.csv rename to SurgeData/124-waterlevel_w.csv diff --git a/SurgeData/125-num_storm.csv b/SurgeData/125-num_storm.csv new file mode 100644 index 00000000..c3a4669d --- /dev/null +++ b/SurgeData/125-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,1.0 +2022,0.0,0.0 +2023,1.0,2.0 +2024,1.0,2.0 +2025,4.0,5.0 +2026,0.0,6.0 +2027,0.0,4.0 +2028,5.0,5.0 +2029,3.0,4.0 +2030,1.0,4.0 +2031,4.0,3.0 +2032,1.0,4.0 +2033,3.0,3.0 +2034,0.0,2.0 +2035,0.0,7.0 +2036,0.0,6.0 +2037,1.0,7.0 +2038,1.0,6.0 +2039,1.0,5.0 +2040,3.0,4.0 +2041,0.0,2.0 +2042,1.0,5.0 +2043,1.0,5.0 +2044,0.0,7.0 +2045,0.0,5.0 +2046,0.0,5.0 +2047,1.0,2.0 +2048,2.0,7.0 +2049,1.0,2.0 +2050,1.0,8.0 +2051,1.0,4.0 +2052,3.0,5.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,3.0,2.0 +2056,3.0,2.0 +2057,2.0,7.0 +2058,0.0,6.0 +2059,0.0,3.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,2.0,1.0 +2064,2.0,5.0 +2065,1.0,7.0 +2066,1.0,1.0 +2067,1.0,3.0 +2068,1.0,8.0 +2069,2.0,1.0 +2070,0.0,3.0 +2071,4.0,4.0 +2072,2.0,8.0 +2073,3.0,5.0 +2074,0.0,2.0 +2075,2.0,6.0 +2076,0.0,6.0 +2077,0.0,6.0 +2078,1.0,1.0 +2079,0.0,4.0 +2080,3.0,3.0 +2081,1.0,7.0 +2082,2.0,1.0 +2083,0.0,2.0 +2084,1.0,3.0 +2085,0.0,4.0 +2086,3.0,3.0 +2087,2.0,4.0 +2088,3.0,2.0 +2089,0.0,3.0 +2090,3.0,5.0 +2091,1.0,4.0 +2092,0.0,2.0 +2093,1.0,1.0 +2094,1.0,6.0 +2095,0.0,2.0 +2096,1.0,4.0 +2097,2.0,4.0 +2098,2.0,4.0 +2099,1.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/125-peak+year_c.csv b/SurgeData/125-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/125-peak+year_c.csv rename to SurgeData/125-peak+year_c.csv diff --git a/SurgeData/N=1000/125-peak+year_w.csv b/SurgeData/125-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/125-peak+year_w.csv rename to SurgeData/125-peak+year_w.csv diff --git a/SurgeData/N=1000/125-peak_c.csv b/SurgeData/125-peak_c.csv similarity index 100% rename from SurgeData/N=1000/125-peak_c.csv rename to SurgeData/125-peak_c.csv diff --git a/SurgeData/N=1000/125-peak_w.csv b/SurgeData/125-peak_w.csv similarity index 100% rename from SurgeData/N=1000/125-peak_w.csv rename to SurgeData/125-peak_w.csv diff --git a/SurgeData/N=1000/125-surge_c.csv b/SurgeData/125-surge_c.csv similarity index 100% rename from SurgeData/N=1000/125-surge_c.csv rename to SurgeData/125-surge_c.csv diff --git a/SurgeData/N=1000/125-surge_w.csv b/SurgeData/125-surge_w.csv similarity index 100% rename from SurgeData/N=1000/125-surge_w.csv rename to SurgeData/125-surge_w.csv diff --git a/SurgeData/N=1000/125-time_c.csv b/SurgeData/125-time_c.csv similarity index 100% rename from SurgeData/N=1000/125-time_c.csv rename to SurgeData/125-time_c.csv diff --git a/SurgeData/N=1000/125-time_w.csv b/SurgeData/125-time_w.csv similarity index 100% rename from SurgeData/N=1000/125-time_w.csv rename to SurgeData/125-time_w.csv diff --git a/SurgeData/N=1000/125-waterlevel_c.csv b/SurgeData/125-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/125-waterlevel_c.csv rename to SurgeData/125-waterlevel_c.csv diff --git a/SurgeData/N=1000/125-waterlevel_w.csv b/SurgeData/125-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/125-waterlevel_w.csv rename to SurgeData/125-waterlevel_w.csv diff --git a/SurgeData/126-num_storm.csv b/SurgeData/126-num_storm.csv new file mode 100644 index 00000000..d5e411e9 --- /dev/null +++ b/SurgeData/126-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,2.0 +2022,1.0,5.0 +2023,1.0,7.0 +2024,3.0,3.0 +2025,2.0,4.0 +2026,1.0,9.0 +2027,4.0,3.0 +2028,0.0,1.0 +2029,1.0,1.0 +2030,1.0,3.0 +2031,1.0,5.0 +2032,2.0,4.0 +2033,2.0,4.0 +2034,1.0,4.0 +2035,2.0,3.0 +2036,1.0,6.0 +2037,2.0,4.0 +2038,3.0,3.0 +2039,0.0,4.0 +2040,0.0,6.0 +2041,2.0,4.0 +2042,1.0,5.0 +2043,3.0,4.0 +2044,1.0,2.0 +2045,1.0,6.0 +2046,1.0,4.0 +2047,2.0,3.0 +2048,3.0,3.0 +2049,0.0,6.0 +2050,7.0,5.0 +2051,2.0,4.0 +2052,1.0,4.0 +2053,4.0,3.0 +2054,3.0,4.0 +2055,0.0,3.0 +2056,2.0,3.0 +2057,1.0,4.0 +2058,0.0,4.0 +2059,1.0,3.0 +2060,2.0,4.0 +2061,1.0,1.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,1.0,2.0 +2065,2.0,6.0 +2066,0.0,7.0 +2067,4.0,2.0 +2068,3.0,3.0 +2069,1.0,8.0 +2070,2.0,6.0 +2071,3.0,4.0 +2072,2.0,5.0 +2073,2.0,2.0 +2074,1.0,6.0 +2075,1.0,1.0 +2076,2.0,4.0 +2077,2.0,3.0 +2078,1.0,8.0 +2079,1.0,2.0 +2080,0.0,4.0 +2081,2.0,3.0 +2082,2.0,4.0 +2083,1.0,4.0 +2084,5.0,6.0 +2085,0.0,5.0 +2086,3.0,1.0 +2087,0.0,5.0 +2088,1.0,8.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,1.0,3.0 +2092,4.0,6.0 +2093,3.0,4.0 +2094,0.0,3.0 +2095,2.0,0.0 +2096,0.0,4.0 +2097,4.0,4.0 +2098,0.0,3.0 +2099,3.0,3.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/126-peak+year_c.csv b/SurgeData/126-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/126-peak+year_c.csv rename to SurgeData/126-peak+year_c.csv diff --git a/SurgeData/N=1000/126-peak+year_w.csv b/SurgeData/126-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/126-peak+year_w.csv rename to SurgeData/126-peak+year_w.csv diff --git a/SurgeData/N=1000/126-peak_c.csv b/SurgeData/126-peak_c.csv similarity index 100% rename from SurgeData/N=1000/126-peak_c.csv rename to SurgeData/126-peak_c.csv diff --git a/SurgeData/N=1000/126-peak_w.csv b/SurgeData/126-peak_w.csv similarity index 100% rename from SurgeData/N=1000/126-peak_w.csv rename to SurgeData/126-peak_w.csv diff --git a/SurgeData/N=1000/126-surge_c.csv b/SurgeData/126-surge_c.csv similarity index 100% rename from SurgeData/N=1000/126-surge_c.csv rename to SurgeData/126-surge_c.csv diff --git a/SurgeData/N=1000/126-surge_w.csv b/SurgeData/126-surge_w.csv similarity index 100% rename from SurgeData/N=1000/126-surge_w.csv rename to SurgeData/126-surge_w.csv diff --git a/SurgeData/N=1000/126-time_c.csv b/SurgeData/126-time_c.csv similarity index 100% rename from SurgeData/N=1000/126-time_c.csv rename to SurgeData/126-time_c.csv diff --git a/SurgeData/N=1000/126-time_w.csv b/SurgeData/126-time_w.csv similarity index 100% rename from SurgeData/N=1000/126-time_w.csv rename to SurgeData/126-time_w.csv diff --git a/SurgeData/N=1000/126-waterlevel_c.csv b/SurgeData/126-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/126-waterlevel_c.csv rename to SurgeData/126-waterlevel_c.csv diff --git a/SurgeData/N=1000/126-waterlevel_w.csv b/SurgeData/126-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/126-waterlevel_w.csv rename to SurgeData/126-waterlevel_w.csv diff --git a/SurgeData/127-num_storm.csv b/SurgeData/127-num_storm.csv new file mode 100644 index 00000000..5b454c0f --- /dev/null +++ b/SurgeData/127-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,3.0,4.0 +2022,0.0,4.0 +2023,0.0,6.0 +2024,0.0,3.0 +2025,3.0,7.0 +2026,2.0,6.0 +2027,4.0,2.0 +2028,1.0,4.0 +2029,2.0,4.0 +2030,1.0,4.0 +2031,0.0,6.0 +2032,1.0,6.0 +2033,5.0,8.0 +2034,1.0,2.0 +2035,4.0,5.0 +2036,3.0,2.0 +2037,0.0,2.0 +2038,0.0,4.0 +2039,2.0,2.0 +2040,3.0,2.0 +2041,0.0,2.0 +2042,2.0,1.0 +2043,4.0,4.0 +2044,3.0,3.0 +2045,1.0,1.0 +2046,1.0,3.0 +2047,1.0,3.0 +2048,1.0,3.0 +2049,3.0,6.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,0.0,4.0 +2053,3.0,2.0 +2054,1.0,4.0 +2055,2.0,5.0 +2056,2.0,2.0 +2057,2.0,4.0 +2058,2.0,4.0 +2059,0.0,2.0 +2060,2.0,3.0 +2061,2.0,4.0 +2062,1.0,10.0 +2063,1.0,7.0 +2064,0.0,2.0 +2065,1.0,4.0 +2066,1.0,6.0 +2067,2.0,7.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,1.0,4.0 +2071,1.0,2.0 +2072,3.0,4.0 +2073,1.0,3.0 +2074,2.0,6.0 +2075,1.0,5.0 +2076,1.0,6.0 +2077,1.0,4.0 +2078,0.0,10.0 +2079,1.0,5.0 +2080,2.0,5.0 +2081,5.0,1.0 +2082,0.0,4.0 +2083,2.0,2.0 +2084,0.0,3.0 +2085,1.0,2.0 +2086,0.0,5.0 +2087,0.0,1.0 +2088,3.0,1.0 +2089,1.0,3.0 +2090,3.0,7.0 +2091,2.0,8.0 +2092,4.0,2.0 +2093,1.0,5.0 +2094,3.0,4.0 +2095,1.0,4.0 +2096,3.0,3.0 +2097,2.0,6.0 +2098,2.0,5.0 +2099,2.0,4.0 +2100,4.0,4.0 diff --git a/SurgeData/N=1000/127-peak+year_c.csv b/SurgeData/127-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/127-peak+year_c.csv rename to SurgeData/127-peak+year_c.csv diff --git a/SurgeData/N=1000/127-peak+year_w.csv b/SurgeData/127-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/127-peak+year_w.csv rename to SurgeData/127-peak+year_w.csv diff --git a/SurgeData/N=1000/127-peak_c.csv b/SurgeData/127-peak_c.csv similarity index 100% rename from SurgeData/N=1000/127-peak_c.csv rename to SurgeData/127-peak_c.csv diff --git a/SurgeData/N=1000/127-peak_w.csv b/SurgeData/127-peak_w.csv similarity index 100% rename from SurgeData/N=1000/127-peak_w.csv rename to SurgeData/127-peak_w.csv diff --git a/SurgeData/N=1000/127-surge_c.csv b/SurgeData/127-surge_c.csv similarity index 100% rename from SurgeData/N=1000/127-surge_c.csv rename to SurgeData/127-surge_c.csv diff --git a/SurgeData/N=1000/127-surge_w.csv b/SurgeData/127-surge_w.csv similarity index 100% rename from SurgeData/N=1000/127-surge_w.csv rename to SurgeData/127-surge_w.csv diff --git a/SurgeData/N=1000/127-time_c.csv b/SurgeData/127-time_c.csv similarity index 100% rename from SurgeData/N=1000/127-time_c.csv rename to SurgeData/127-time_c.csv diff --git a/SurgeData/N=1000/127-time_w.csv b/SurgeData/127-time_w.csv similarity index 100% rename from SurgeData/N=1000/127-time_w.csv rename to SurgeData/127-time_w.csv diff --git a/SurgeData/N=1000/127-waterlevel_c.csv b/SurgeData/127-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/127-waterlevel_c.csv rename to SurgeData/127-waterlevel_c.csv diff --git a/SurgeData/N=1000/127-waterlevel_w.csv b/SurgeData/127-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/127-waterlevel_w.csv rename to SurgeData/127-waterlevel_w.csv diff --git a/SurgeData/128-num_storm.csv b/SurgeData/128-num_storm.csv new file mode 100644 index 00000000..d08184bd --- /dev/null +++ b/SurgeData/128-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,1.0 +2022,1.0,2.0 +2023,4.0,2.0 +2024,4.0,4.0 +2025,1.0,4.0 +2026,1.0,4.0 +2027,1.0,4.0 +2028,3.0,7.0 +2029,1.0,2.0 +2030,0.0,1.0 +2031,4.0,4.0 +2032,1.0,9.0 +2033,1.0,6.0 +2034,2.0,4.0 +2035,1.0,3.0 +2036,0.0,4.0 +2037,1.0,1.0 +2038,1.0,6.0 +2039,1.0,6.0 +2040,2.0,3.0 +2041,1.0,2.0 +2042,0.0,4.0 +2043,3.0,6.0 +2044,2.0,3.0 +2045,3.0,6.0 +2046,0.0,4.0 +2047,1.0,1.0 +2048,2.0,5.0 +2049,5.0,6.0 +2050,0.0,5.0 +2051,4.0,6.0 +2052,2.0,3.0 +2053,2.0,5.0 +2054,2.0,3.0 +2055,2.0,7.0 +2056,4.0,2.0 +2057,2.0,5.0 +2058,0.0,3.0 +2059,4.0,2.0 +2060,2.0,2.0 +2061,3.0,4.0 +2062,1.0,4.0 +2063,0.0,3.0 +2064,1.0,4.0 +2065,1.0,3.0 +2066,0.0,5.0 +2067,4.0,5.0 +2068,0.0,6.0 +2069,0.0,5.0 +2070,2.0,6.0 +2071,7.0,2.0 +2072,2.0,9.0 +2073,1.0,5.0 +2074,4.0,5.0 +2075,1.0,4.0 +2076,0.0,3.0 +2077,4.0,2.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,0.0,7.0 +2081,1.0,3.0 +2082,0.0,7.0 +2083,1.0,5.0 +2084,4.0,3.0 +2085,3.0,1.0 +2086,1.0,6.0 +2087,0.0,7.0 +2088,4.0,6.0 +2089,1.0,7.0 +2090,1.0,4.0 +2091,2.0,6.0 +2092,1.0,2.0 +2093,3.0,2.0 +2094,1.0,7.0 +2095,3.0,2.0 +2096,0.0,4.0 +2097,0.0,3.0 +2098,3.0,4.0 +2099,2.0,6.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/128-peak+year_c.csv b/SurgeData/128-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/128-peak+year_c.csv rename to SurgeData/128-peak+year_c.csv diff --git a/SurgeData/N=1000/128-peak+year_w.csv b/SurgeData/128-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/128-peak+year_w.csv rename to SurgeData/128-peak+year_w.csv diff --git a/SurgeData/N=1000/128-peak_c.csv b/SurgeData/128-peak_c.csv similarity index 100% rename from SurgeData/N=1000/128-peak_c.csv rename to SurgeData/128-peak_c.csv diff --git a/SurgeData/N=1000/128-peak_w.csv b/SurgeData/128-peak_w.csv similarity index 100% rename from SurgeData/N=1000/128-peak_w.csv rename to SurgeData/128-peak_w.csv diff --git a/SurgeData/N=1000/128-surge_c.csv b/SurgeData/128-surge_c.csv similarity index 100% rename from SurgeData/N=1000/128-surge_c.csv rename to SurgeData/128-surge_c.csv diff --git a/SurgeData/N=1000/128-surge_w.csv b/SurgeData/128-surge_w.csv similarity index 100% rename from SurgeData/N=1000/128-surge_w.csv rename to SurgeData/128-surge_w.csv diff --git a/SurgeData/N=1000/128-time_c.csv b/SurgeData/128-time_c.csv similarity index 100% rename from SurgeData/N=1000/128-time_c.csv rename to SurgeData/128-time_c.csv diff --git a/SurgeData/N=1000/128-time_w.csv b/SurgeData/128-time_w.csv similarity index 100% rename from SurgeData/N=1000/128-time_w.csv rename to SurgeData/128-time_w.csv diff --git a/SurgeData/N=1000/128-waterlevel_c.csv b/SurgeData/128-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/128-waterlevel_c.csv rename to SurgeData/128-waterlevel_c.csv diff --git a/SurgeData/N=1000/128-waterlevel_w.csv b/SurgeData/128-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/128-waterlevel_w.csv rename to SurgeData/128-waterlevel_w.csv diff --git a/SurgeData/N=1000/129-peak+year_c.csv b/SurgeData/129-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/129-peak+year_c.csv rename to SurgeData/129-peak+year_c.csv diff --git a/SurgeData/N=1000/129-peak+year_w.csv b/SurgeData/129-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/129-peak+year_w.csv rename to SurgeData/129-peak+year_w.csv diff --git a/SurgeData/N=1000/129-peak_c.csv b/SurgeData/129-peak_c.csv similarity index 100% rename from SurgeData/N=1000/129-peak_c.csv rename to SurgeData/129-peak_c.csv diff --git a/SurgeData/N=1000/129-peak_w.csv b/SurgeData/129-peak_w.csv similarity index 100% rename from SurgeData/N=1000/129-peak_w.csv rename to SurgeData/129-peak_w.csv diff --git a/SurgeData/N=1000/129-surge_c.csv b/SurgeData/129-surge_c.csv similarity index 100% rename from SurgeData/N=1000/129-surge_c.csv rename to SurgeData/129-surge_c.csv diff --git a/SurgeData/N=1000/129-surge_w.csv b/SurgeData/129-surge_w.csv similarity index 100% rename from SurgeData/N=1000/129-surge_w.csv rename to SurgeData/129-surge_w.csv diff --git a/SurgeData/N=1000/129-time_c.csv b/SurgeData/129-time_c.csv similarity index 100% rename from SurgeData/N=1000/129-time_c.csv rename to SurgeData/129-time_c.csv diff --git a/SurgeData/N=1000/129-time_w.csv b/SurgeData/129-time_w.csv similarity index 100% rename from SurgeData/N=1000/129-time_w.csv rename to SurgeData/129-time_w.csv diff --git a/SurgeData/N=1000/129-waterlevel_c.csv b/SurgeData/129-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/129-waterlevel_c.csv rename to SurgeData/129-waterlevel_c.csv diff --git a/SurgeData/N=1000/129-waterlevel_w.csv b/SurgeData/129-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/129-waterlevel_w.csv rename to SurgeData/129-waterlevel_w.csv diff --git a/SurgeData/13-num_storm.csv b/SurgeData/13-num_storm.csv new file mode 100644 index 00000000..49eb1f84 --- /dev/null +++ b/SurgeData/13-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,5.0 +2022,2.0,3.0 +2023,0.0,4.0 +2024,0.0,5.0 +2025,1.0,6.0 +2026,1.0,6.0 +2027,1.0,4.0 +2028,0.0,5.0 +2029,3.0,4.0 +2030,1.0,2.0 +2031,1.0,6.0 +2032,5.0,5.0 +2033,0.0,6.0 +2034,0.0,6.0 +2035,0.0,4.0 +2036,3.0,6.0 +2037,3.0,2.0 +2038,2.0,5.0 +2039,1.0,6.0 +2040,3.0,3.0 +2041,5.0,5.0 +2042,1.0,0.0 +2043,1.0,2.0 +2044,2.0,3.0 +2045,0.0,4.0 +2046,2.0,3.0 +2047,1.0,7.0 +2048,6.0,4.0 +2049,2.0,5.0 +2050,1.0,11.0 +2051,0.0,7.0 +2052,2.0,8.0 +2053,1.0,3.0 +2054,0.0,1.0 +2055,1.0,5.0 +2056,1.0,3.0 +2057,2.0,1.0 +2058,1.0,8.0 +2059,3.0,5.0 +2060,2.0,3.0 +2061,1.0,3.0 +2062,1.0,8.0 +2063,2.0,9.0 +2064,1.0,3.0 +2065,0.0,4.0 +2066,1.0,8.0 +2067,1.0,3.0 +2068,1.0,6.0 +2069,3.0,7.0 +2070,1.0,0.0 +2071,3.0,4.0 +2072,1.0,1.0 +2073,2.0,11.0 +2074,1.0,4.0 +2075,3.0,2.0 +2076,4.0,2.0 +2077,2.0,6.0 +2078,0.0,2.0 +2079,0.0,3.0 +2080,2.0,2.0 +2081,0.0,2.0 +2082,2.0,7.0 +2083,0.0,5.0 +2084,0.0,0.0 +2085,3.0,5.0 +2086,1.0,4.0 +2087,3.0,6.0 +2088,1.0,5.0 +2089,0.0,1.0 +2090,1.0,3.0 +2091,1.0,7.0 +2092,2.0,3.0 +2093,4.0,3.0 +2094,0.0,6.0 +2095,3.0,5.0 +2096,1.0,6.0 +2097,1.0,6.0 +2098,1.0,7.0 +2099,0.0,3.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/13-peak+year_c.csv b/SurgeData/13-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/13-peak+year_c.csv rename to SurgeData/13-peak+year_c.csv diff --git a/SurgeData/N=1000/13-peak+year_w.csv b/SurgeData/13-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/13-peak+year_w.csv rename to SurgeData/13-peak+year_w.csv diff --git a/SurgeData/N=1000/13-peak_c.csv b/SurgeData/13-peak_c.csv similarity index 100% rename from SurgeData/N=1000/13-peak_c.csv rename to SurgeData/13-peak_c.csv diff --git a/SurgeData/N=1000/13-peak_w.csv b/SurgeData/13-peak_w.csv similarity index 100% rename from SurgeData/N=1000/13-peak_w.csv rename to SurgeData/13-peak_w.csv diff --git a/SurgeData/N=1000/13-surge_c.csv b/SurgeData/13-surge_c.csv similarity index 100% rename from SurgeData/N=1000/13-surge_c.csv rename to SurgeData/13-surge_c.csv diff --git a/SurgeData/N=1000/13-surge_w.csv b/SurgeData/13-surge_w.csv similarity index 100% rename from SurgeData/N=1000/13-surge_w.csv rename to SurgeData/13-surge_w.csv diff --git a/SurgeData/N=1000/13-time_c.csv b/SurgeData/13-time_c.csv similarity index 100% rename from SurgeData/N=1000/13-time_c.csv rename to SurgeData/13-time_c.csv diff --git a/SurgeData/N=1000/13-time_w.csv b/SurgeData/13-time_w.csv similarity index 100% rename from SurgeData/N=1000/13-time_w.csv rename to SurgeData/13-time_w.csv diff --git a/SurgeData/N=1000/13-waterlevel_c.csv b/SurgeData/13-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/13-waterlevel_c.csv rename to SurgeData/13-waterlevel_c.csv diff --git a/SurgeData/N=1000/13-waterlevel_w.csv b/SurgeData/13-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/13-waterlevel_w.csv rename to SurgeData/13-waterlevel_w.csv diff --git a/SurgeData/130-num_storm.csv b/SurgeData/130-num_storm.csv new file mode 100644 index 00000000..048c2baa --- /dev/null +++ b/SurgeData/130-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,4.0,4.0 +2022,1.0,5.0 +2023,1.0,1.0 +2024,2.0,8.0 +2025,0.0,3.0 +2026,0.0,3.0 +2027,1.0,7.0 +2028,1.0,3.0 +2029,3.0,1.0 +2030,1.0,6.0 +2031,0.0,3.0 +2032,0.0,3.0 +2033,1.0,6.0 +2034,1.0,2.0 +2035,3.0,6.0 +2036,2.0,2.0 +2037,0.0,5.0 +2038,2.0,1.0 +2039,0.0,5.0 +2040,1.0,6.0 +2041,3.0,3.0 +2042,3.0,2.0 +2043,1.0,7.0 +2044,3.0,3.0 +2045,2.0,6.0 +2046,6.0,4.0 +2047,3.0,5.0 +2048,2.0,6.0 +2049,1.0,3.0 +2050,2.0,3.0 +2051,1.0,9.0 +2052,0.0,1.0 +2053,0.0,0.0 +2054,3.0,5.0 +2055,4.0,6.0 +2056,2.0,3.0 +2057,3.0,4.0 +2058,0.0,6.0 +2059,1.0,0.0 +2060,0.0,12.0 +2061,1.0,2.0 +2062,5.0,4.0 +2063,0.0,5.0 +2064,0.0,5.0 +2065,1.0,5.0 +2066,2.0,2.0 +2067,1.0,5.0 +2068,0.0,0.0 +2069,1.0,4.0 +2070,4.0,6.0 +2071,2.0,1.0 +2072,1.0,7.0 +2073,1.0,8.0 +2074,2.0,7.0 +2075,4.0,0.0 +2076,0.0,3.0 +2077,1.0,5.0 +2078,2.0,5.0 +2079,2.0,3.0 +2080,3.0,2.0 +2081,1.0,5.0 +2082,1.0,3.0 +2083,1.0,4.0 +2084,2.0,8.0 +2085,3.0,3.0 +2086,0.0,2.0 +2087,3.0,0.0 +2088,3.0,1.0 +2089,7.0,6.0 +2090,1.0,6.0 +2091,1.0,3.0 +2092,1.0,1.0 +2093,1.0,3.0 +2094,2.0,4.0 +2095,1.0,1.0 +2096,1.0,5.0 +2097,3.0,4.0 +2098,2.0,3.0 +2099,1.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/130-peak+year_c.csv b/SurgeData/130-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/130-peak+year_c.csv rename to SurgeData/130-peak+year_c.csv diff --git a/SurgeData/N=1000/130-peak+year_w.csv b/SurgeData/130-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/130-peak+year_w.csv rename to SurgeData/130-peak+year_w.csv diff --git a/SurgeData/N=1000/130-peak_c.csv b/SurgeData/130-peak_c.csv similarity index 100% rename from SurgeData/N=1000/130-peak_c.csv rename to SurgeData/130-peak_c.csv diff --git a/SurgeData/N=1000/130-peak_w.csv b/SurgeData/130-peak_w.csv similarity index 100% rename from SurgeData/N=1000/130-peak_w.csv rename to SurgeData/130-peak_w.csv diff --git a/SurgeData/N=1000/130-surge_c.csv b/SurgeData/130-surge_c.csv similarity index 100% rename from SurgeData/N=1000/130-surge_c.csv rename to SurgeData/130-surge_c.csv diff --git a/SurgeData/N=1000/130-surge_w.csv b/SurgeData/130-surge_w.csv similarity index 100% rename from SurgeData/N=1000/130-surge_w.csv rename to SurgeData/130-surge_w.csv diff --git a/SurgeData/N=1000/130-time_c.csv b/SurgeData/130-time_c.csv similarity index 100% rename from SurgeData/N=1000/130-time_c.csv rename to SurgeData/130-time_c.csv diff --git a/SurgeData/N=1000/130-time_w.csv b/SurgeData/130-time_w.csv similarity index 100% rename from SurgeData/N=1000/130-time_w.csv rename to SurgeData/130-time_w.csv diff --git a/SurgeData/N=1000/130-waterlevel_c.csv b/SurgeData/130-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/130-waterlevel_c.csv rename to SurgeData/130-waterlevel_c.csv diff --git a/SurgeData/N=1000/130-waterlevel_w.csv b/SurgeData/130-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/130-waterlevel_w.csv rename to SurgeData/130-waterlevel_w.csv diff --git a/SurgeData/131-num_storm.csv b/SurgeData/131-num_storm.csv new file mode 100644 index 00000000..27c1e33a --- /dev/null +++ b/SurgeData/131-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,1.0,1.0 +2022,4.0,4.0 +2023,0.0,4.0 +2024,3.0,3.0 +2025,1.0,6.0 +2026,0.0,6.0 +2027,1.0,6.0 +2028,2.0,6.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,1.0,5.0 +2032,0.0,3.0 +2033,0.0,5.0 +2034,0.0,6.0 +2035,3.0,4.0 +2036,4.0,9.0 +2037,4.0,3.0 +2038,0.0,3.0 +2039,2.0,0.0 +2040,1.0,3.0 +2041,1.0,3.0 +2042,0.0,2.0 +2043,1.0,3.0 +2044,3.0,6.0 +2045,3.0,3.0 +2046,2.0,7.0 +2047,1.0,5.0 +2048,1.0,6.0 +2049,3.0,6.0 +2050,2.0,8.0 +2051,0.0,7.0 +2052,0.0,5.0 +2053,6.0,4.0 +2054,1.0,4.0 +2055,2.0,4.0 +2056,1.0,3.0 +2057,2.0,6.0 +2058,3.0,3.0 +2059,0.0,1.0 +2060,0.0,3.0 +2061,4.0,3.0 +2062,2.0,5.0 +2063,1.0,3.0 +2064,1.0,4.0 +2065,3.0,8.0 +2066,2.0,2.0 +2067,1.0,9.0 +2068,3.0,2.0 +2069,0.0,3.0 +2070,2.0,1.0 +2071,2.0,2.0 +2072,3.0,3.0 +2073,1.0,9.0 +2074,2.0,3.0 +2075,1.0,4.0 +2076,1.0,4.0 +2077,3.0,3.0 +2078,4.0,4.0 +2079,3.0,4.0 +2080,3.0,4.0 +2081,2.0,11.0 +2082,1.0,2.0 +2083,2.0,2.0 +2084,0.0,8.0 +2085,2.0,4.0 +2086,4.0,4.0 +2087,1.0,3.0 +2088,2.0,4.0 +2089,0.0,5.0 +2090,0.0,5.0 +2091,2.0,6.0 +2092,0.0,7.0 +2093,3.0,8.0 +2094,0.0,4.0 +2095,1.0,5.0 +2096,1.0,6.0 +2097,1.0,0.0 +2098,1.0,2.0 +2099,1.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/131-peak+year_c.csv b/SurgeData/131-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/131-peak+year_c.csv rename to SurgeData/131-peak+year_c.csv diff --git a/SurgeData/N=1000/131-peak+year_w.csv b/SurgeData/131-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/131-peak+year_w.csv rename to SurgeData/131-peak+year_w.csv diff --git a/SurgeData/N=1000/131-peak_c.csv b/SurgeData/131-peak_c.csv similarity index 100% rename from SurgeData/N=1000/131-peak_c.csv rename to SurgeData/131-peak_c.csv diff --git a/SurgeData/N=1000/131-peak_w.csv b/SurgeData/131-peak_w.csv similarity index 100% rename from SurgeData/N=1000/131-peak_w.csv rename to SurgeData/131-peak_w.csv diff --git a/SurgeData/N=1000/131-surge_c.csv b/SurgeData/131-surge_c.csv similarity index 100% rename from SurgeData/N=1000/131-surge_c.csv rename to SurgeData/131-surge_c.csv diff --git a/SurgeData/N=1000/131-surge_w.csv b/SurgeData/131-surge_w.csv similarity index 100% rename from SurgeData/N=1000/131-surge_w.csv rename to SurgeData/131-surge_w.csv diff --git a/SurgeData/N=1000/131-time_c.csv b/SurgeData/131-time_c.csv similarity index 100% rename from SurgeData/N=1000/131-time_c.csv rename to SurgeData/131-time_c.csv diff --git a/SurgeData/N=1000/131-time_w.csv b/SurgeData/131-time_w.csv similarity index 100% rename from SurgeData/N=1000/131-time_w.csv rename to SurgeData/131-time_w.csv diff --git a/SurgeData/N=1000/131-waterlevel_c.csv b/SurgeData/131-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/131-waterlevel_c.csv rename to SurgeData/131-waterlevel_c.csv diff --git a/SurgeData/N=1000/131-waterlevel_w.csv b/SurgeData/131-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/131-waterlevel_w.csv rename to SurgeData/131-waterlevel_w.csv diff --git a/SurgeData/N=1000/132-peak+year_c.csv b/SurgeData/132-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/132-peak+year_c.csv rename to SurgeData/132-peak+year_c.csv diff --git a/SurgeData/N=1000/132-peak+year_w.csv b/SurgeData/132-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/132-peak+year_w.csv rename to SurgeData/132-peak+year_w.csv diff --git a/SurgeData/N=1000/132-peak_c.csv b/SurgeData/132-peak_c.csv similarity index 100% rename from SurgeData/N=1000/132-peak_c.csv rename to SurgeData/132-peak_c.csv diff --git a/SurgeData/N=1000/132-peak_w.csv b/SurgeData/132-peak_w.csv similarity index 100% rename from SurgeData/N=1000/132-peak_w.csv rename to SurgeData/132-peak_w.csv diff --git a/SurgeData/N=1000/132-surge_c.csv b/SurgeData/132-surge_c.csv similarity index 100% rename from SurgeData/N=1000/132-surge_c.csv rename to SurgeData/132-surge_c.csv diff --git a/SurgeData/N=1000/132-surge_w.csv b/SurgeData/132-surge_w.csv similarity index 100% rename from SurgeData/N=1000/132-surge_w.csv rename to SurgeData/132-surge_w.csv diff --git a/SurgeData/N=1000/132-time_c.csv b/SurgeData/132-time_c.csv similarity index 100% rename from SurgeData/N=1000/132-time_c.csv rename to SurgeData/132-time_c.csv diff --git a/SurgeData/N=1000/132-time_w.csv b/SurgeData/132-time_w.csv similarity index 100% rename from SurgeData/N=1000/132-time_w.csv rename to SurgeData/132-time_w.csv diff --git a/SurgeData/N=1000/132-waterlevel_c.csv b/SurgeData/132-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/132-waterlevel_c.csv rename to SurgeData/132-waterlevel_c.csv diff --git a/SurgeData/N=1000/132-waterlevel_w.csv b/SurgeData/132-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/132-waterlevel_w.csv rename to SurgeData/132-waterlevel_w.csv diff --git a/SurgeData/133-num_storm.csv b/SurgeData/133-num_storm.csv new file mode 100644 index 00000000..76e8fc57 --- /dev/null +++ b/SurgeData/133-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,1.0,4.0 +2022,2.0,1.0 +2023,1.0,1.0 +2024,1.0,7.0 +2025,1.0,4.0 +2026,1.0,5.0 +2027,1.0,2.0 +2028,1.0,4.0 +2029,0.0,6.0 +2030,1.0,5.0 +2031,0.0,5.0 +2032,3.0,6.0 +2033,1.0,4.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,2.0,5.0 +2037,1.0,7.0 +2038,0.0,2.0 +2039,2.0,3.0 +2040,1.0,1.0 +2041,2.0,2.0 +2042,0.0,3.0 +2043,0.0,6.0 +2044,0.0,2.0 +2045,3.0,8.0 +2046,3.0,4.0 +2047,2.0,7.0 +2048,1.0,4.0 +2049,3.0,4.0 +2050,3.0,3.0 +2051,2.0,5.0 +2052,2.0,1.0 +2053,1.0,8.0 +2054,1.0,2.0 +2055,1.0,3.0 +2056,0.0,2.0 +2057,4.0,2.0 +2058,3.0,6.0 +2059,1.0,4.0 +2060,1.0,6.0 +2061,0.0,2.0 +2062,3.0,2.0 +2063,0.0,3.0 +2064,2.0,9.0 +2065,2.0,4.0 +2066,1.0,5.0 +2067,0.0,8.0 +2068,0.0,4.0 +2069,4.0,3.0 +2070,2.0,2.0 +2071,1.0,6.0 +2072,4.0,3.0 +2073,0.0,2.0 +2074,1.0,4.0 +2075,1.0,4.0 +2076,0.0,5.0 +2077,0.0,6.0 +2078,1.0,1.0 +2079,0.0,2.0 +2080,1.0,4.0 +2081,1.0,2.0 +2082,2.0,5.0 +2083,0.0,2.0 +2084,1.0,2.0 +2085,0.0,4.0 +2086,2.0,4.0 +2087,3.0,5.0 +2088,3.0,4.0 +2089,0.0,1.0 +2090,0.0,7.0 +2091,0.0,2.0 +2092,1.0,8.0 +2093,4.0,1.0 +2094,0.0,4.0 +2095,2.0,4.0 +2096,1.0,2.0 +2097,4.0,3.0 +2098,2.0,7.0 +2099,3.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/133-peak+year_c.csv b/SurgeData/133-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/133-peak+year_c.csv rename to SurgeData/133-peak+year_c.csv diff --git a/SurgeData/N=1000/133-peak+year_w.csv b/SurgeData/133-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/133-peak+year_w.csv rename to SurgeData/133-peak+year_w.csv diff --git a/SurgeData/N=1000/133-peak_c.csv b/SurgeData/133-peak_c.csv similarity index 100% rename from SurgeData/N=1000/133-peak_c.csv rename to SurgeData/133-peak_c.csv diff --git a/SurgeData/N=1000/133-peak_w.csv b/SurgeData/133-peak_w.csv similarity index 100% rename from SurgeData/N=1000/133-peak_w.csv rename to SurgeData/133-peak_w.csv diff --git a/SurgeData/N=1000/133-surge_c.csv b/SurgeData/133-surge_c.csv similarity index 100% rename from SurgeData/N=1000/133-surge_c.csv rename to SurgeData/133-surge_c.csv diff --git a/SurgeData/N=1000/133-surge_w.csv b/SurgeData/133-surge_w.csv similarity index 100% rename from SurgeData/N=1000/133-surge_w.csv rename to SurgeData/133-surge_w.csv diff --git a/SurgeData/N=1000/133-time_c.csv b/SurgeData/133-time_c.csv similarity index 100% rename from SurgeData/N=1000/133-time_c.csv rename to SurgeData/133-time_c.csv diff --git a/SurgeData/N=1000/133-time_w.csv b/SurgeData/133-time_w.csv similarity index 100% rename from SurgeData/N=1000/133-time_w.csv rename to SurgeData/133-time_w.csv diff --git a/SurgeData/N=1000/133-waterlevel_c.csv b/SurgeData/133-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/133-waterlevel_c.csv rename to SurgeData/133-waterlevel_c.csv diff --git a/SurgeData/N=1000/133-waterlevel_w.csv b/SurgeData/133-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/133-waterlevel_w.csv rename to SurgeData/133-waterlevel_w.csv diff --git a/SurgeData/134-num_storm.csv b/SurgeData/134-num_storm.csv new file mode 100644 index 00000000..4a9538fd --- /dev/null +++ b/SurgeData/134-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,0.0 +2021,0.0,5.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,4.0,8.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,3.0,4.0 +2028,0.0,6.0 +2029,0.0,6.0 +2030,1.0,6.0 +2031,0.0,7.0 +2032,1.0,3.0 +2033,2.0,5.0 +2034,2.0,5.0 +2035,1.0,3.0 +2036,0.0,5.0 +2037,1.0,4.0 +2038,2.0,3.0 +2039,1.0,4.0 +2040,0.0,7.0 +2041,3.0,7.0 +2042,1.0,6.0 +2043,0.0,4.0 +2044,3.0,5.0 +2045,2.0,2.0 +2046,0.0,4.0 +2047,1.0,2.0 +2048,1.0,1.0 +2049,4.0,4.0 +2050,2.0,2.0 +2051,4.0,2.0 +2052,1.0,4.0 +2053,1.0,3.0 +2054,0.0,3.0 +2055,2.0,3.0 +2056,4.0,6.0 +2057,1.0,5.0 +2058,0.0,9.0 +2059,1.0,1.0 +2060,0.0,7.0 +2061,1.0,5.0 +2062,3.0,6.0 +2063,1.0,2.0 +2064,1.0,6.0 +2065,1.0,3.0 +2066,1.0,6.0 +2067,1.0,5.0 +2068,0.0,3.0 +2069,0.0,7.0 +2070,1.0,3.0 +2071,0.0,5.0 +2072,0.0,11.0 +2073,1.0,3.0 +2074,0.0,1.0 +2075,0.0,2.0 +2076,3.0,4.0 +2077,2.0,4.0 +2078,0.0,3.0 +2079,2.0,8.0 +2080,2.0,4.0 +2081,1.0,5.0 +2082,1.0,3.0 +2083,0.0,7.0 +2084,2.0,4.0 +2085,1.0,3.0 +2086,2.0,2.0 +2087,0.0,8.0 +2088,2.0,3.0 +2089,2.0,4.0 +2090,0.0,5.0 +2091,1.0,4.0 +2092,3.0,1.0 +2093,3.0,5.0 +2094,2.0,1.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,0.0,3.0 +2099,2.0,5.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/134-peak+year_c.csv b/SurgeData/134-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/134-peak+year_c.csv rename to SurgeData/134-peak+year_c.csv diff --git a/SurgeData/N=1000/134-peak+year_w.csv b/SurgeData/134-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/134-peak+year_w.csv rename to SurgeData/134-peak+year_w.csv diff --git a/SurgeData/N=1000/134-peak_c.csv b/SurgeData/134-peak_c.csv similarity index 100% rename from SurgeData/N=1000/134-peak_c.csv rename to SurgeData/134-peak_c.csv diff --git a/SurgeData/N=1000/134-peak_w.csv b/SurgeData/134-peak_w.csv similarity index 100% rename from SurgeData/N=1000/134-peak_w.csv rename to SurgeData/134-peak_w.csv diff --git a/SurgeData/N=1000/134-surge_c.csv b/SurgeData/134-surge_c.csv similarity index 100% rename from SurgeData/N=1000/134-surge_c.csv rename to SurgeData/134-surge_c.csv diff --git a/SurgeData/N=1000/134-surge_w.csv b/SurgeData/134-surge_w.csv similarity index 100% rename from SurgeData/N=1000/134-surge_w.csv rename to SurgeData/134-surge_w.csv diff --git a/SurgeData/N=1000/134-time_c.csv b/SurgeData/134-time_c.csv similarity index 100% rename from SurgeData/N=1000/134-time_c.csv rename to SurgeData/134-time_c.csv diff --git a/SurgeData/N=1000/134-time_w.csv b/SurgeData/134-time_w.csv similarity index 100% rename from SurgeData/N=1000/134-time_w.csv rename to SurgeData/134-time_w.csv diff --git a/SurgeData/N=1000/134-waterlevel_c.csv b/SurgeData/134-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/134-waterlevel_c.csv rename to SurgeData/134-waterlevel_c.csv diff --git a/SurgeData/N=1000/134-waterlevel_w.csv b/SurgeData/134-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/134-waterlevel_w.csv rename to SurgeData/134-waterlevel_w.csv diff --git a/SurgeData/N=1000/135-peak+year_c.csv b/SurgeData/135-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/135-peak+year_c.csv rename to SurgeData/135-peak+year_c.csv diff --git a/SurgeData/N=1000/135-peak+year_w.csv b/SurgeData/135-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/135-peak+year_w.csv rename to SurgeData/135-peak+year_w.csv diff --git a/SurgeData/N=1000/135-peak_c.csv b/SurgeData/135-peak_c.csv similarity index 100% rename from SurgeData/N=1000/135-peak_c.csv rename to SurgeData/135-peak_c.csv diff --git a/SurgeData/N=1000/135-peak_w.csv b/SurgeData/135-peak_w.csv similarity index 100% rename from SurgeData/N=1000/135-peak_w.csv rename to SurgeData/135-peak_w.csv diff --git a/SurgeData/N=1000/135-surge_c.csv b/SurgeData/135-surge_c.csv similarity index 100% rename from SurgeData/N=1000/135-surge_c.csv rename to SurgeData/135-surge_c.csv diff --git a/SurgeData/N=1000/135-surge_w.csv b/SurgeData/135-surge_w.csv similarity index 100% rename from SurgeData/N=1000/135-surge_w.csv rename to SurgeData/135-surge_w.csv diff --git a/SurgeData/N=1000/135-time_c.csv b/SurgeData/135-time_c.csv similarity index 100% rename from SurgeData/N=1000/135-time_c.csv rename to SurgeData/135-time_c.csv diff --git a/SurgeData/N=1000/135-time_w.csv b/SurgeData/135-time_w.csv similarity index 100% rename from SurgeData/N=1000/135-time_w.csv rename to SurgeData/135-time_w.csv diff --git a/SurgeData/N=1000/135-waterlevel_c.csv b/SurgeData/135-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/135-waterlevel_c.csv rename to SurgeData/135-waterlevel_c.csv diff --git a/SurgeData/N=1000/135-waterlevel_w.csv b/SurgeData/135-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/135-waterlevel_w.csv rename to SurgeData/135-waterlevel_w.csv diff --git a/SurgeData/136-num_storm.csv b/SurgeData/136-num_storm.csv new file mode 100644 index 00000000..88ce870f --- /dev/null +++ b/SurgeData/136-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,6.0 +2022,1.0,2.0 +2023,1.0,4.0 +2024,4.0,4.0 +2025,1.0,4.0 +2026,2.0,10.0 +2027,1.0,3.0 +2028,1.0,0.0 +2029,1.0,4.0 +2030,1.0,7.0 +2031,0.0,3.0 +2032,1.0,6.0 +2033,3.0,4.0 +2034,3.0,1.0 +2035,2.0,1.0 +2036,0.0,2.0 +2037,0.0,3.0 +2038,3.0,4.0 +2039,2.0,5.0 +2040,3.0,4.0 +2041,4.0,4.0 +2042,2.0,3.0 +2043,2.0,7.0 +2044,1.0,4.0 +2045,1.0,7.0 +2046,0.0,6.0 +2047,1.0,7.0 +2048,2.0,7.0 +2049,2.0,4.0 +2050,1.0,3.0 +2051,0.0,7.0 +2052,3.0,4.0 +2053,1.0,2.0 +2054,1.0,6.0 +2055,1.0,5.0 +2056,0.0,2.0 +2057,2.0,6.0 +2058,1.0,4.0 +2059,2.0,4.0 +2060,2.0,7.0 +2061,2.0,10.0 +2062,2.0,5.0 +2063,2.0,3.0 +2064,1.0,1.0 +2065,3.0,5.0 +2066,0.0,1.0 +2067,1.0,2.0 +2068,1.0,3.0 +2069,3.0,5.0 +2070,3.0,1.0 +2071,1.0,2.0 +2072,1.0,6.0 +2073,2.0,4.0 +2074,0.0,1.0 +2075,1.0,4.0 +2076,0.0,3.0 +2077,1.0,2.0 +2078,2.0,5.0 +2079,2.0,7.0 +2080,2.0,5.0 +2081,2.0,6.0 +2082,2.0,6.0 +2083,3.0,5.0 +2084,1.0,2.0 +2085,0.0,5.0 +2086,3.0,1.0 +2087,2.0,3.0 +2088,3.0,2.0 +2089,2.0,7.0 +2090,1.0,2.0 +2091,0.0,4.0 +2092,4.0,8.0 +2093,5.0,3.0 +2094,3.0,1.0 +2095,3.0,2.0 +2096,3.0,4.0 +2097,3.0,5.0 +2098,5.0,7.0 +2099,2.0,7.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/136-peak+year_c.csv b/SurgeData/136-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/136-peak+year_c.csv rename to SurgeData/136-peak+year_c.csv diff --git a/SurgeData/N=1000/136-peak+year_w.csv b/SurgeData/136-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/136-peak+year_w.csv rename to SurgeData/136-peak+year_w.csv diff --git a/SurgeData/N=1000/136-peak_c.csv b/SurgeData/136-peak_c.csv similarity index 100% rename from SurgeData/N=1000/136-peak_c.csv rename to SurgeData/136-peak_c.csv diff --git a/SurgeData/N=1000/136-peak_w.csv b/SurgeData/136-peak_w.csv similarity index 100% rename from SurgeData/N=1000/136-peak_w.csv rename to SurgeData/136-peak_w.csv diff --git a/SurgeData/N=1000/136-surge_c.csv b/SurgeData/136-surge_c.csv similarity index 100% rename from SurgeData/N=1000/136-surge_c.csv rename to SurgeData/136-surge_c.csv diff --git a/SurgeData/N=1000/136-surge_w.csv b/SurgeData/136-surge_w.csv similarity index 100% rename from SurgeData/N=1000/136-surge_w.csv rename to SurgeData/136-surge_w.csv diff --git a/SurgeData/N=1000/136-time_c.csv b/SurgeData/136-time_c.csv similarity index 100% rename from SurgeData/N=1000/136-time_c.csv rename to SurgeData/136-time_c.csv diff --git a/SurgeData/N=1000/136-time_w.csv b/SurgeData/136-time_w.csv similarity index 100% rename from SurgeData/N=1000/136-time_w.csv rename to SurgeData/136-time_w.csv diff --git a/SurgeData/N=1000/136-waterlevel_c.csv b/SurgeData/136-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/136-waterlevel_c.csv rename to SurgeData/136-waterlevel_c.csv diff --git a/SurgeData/N=1000/136-waterlevel_w.csv b/SurgeData/136-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/136-waterlevel_w.csv rename to SurgeData/136-waterlevel_w.csv diff --git a/SurgeData/137-num_storm.csv b/SurgeData/137-num_storm.csv new file mode 100644 index 00000000..eedec4c7 --- /dev/null +++ b/SurgeData/137-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,7.0 +2021,2.0,1.0 +2022,2.0,3.0 +2023,2.0,3.0 +2024,0.0,4.0 +2025,3.0,2.0 +2026,0.0,3.0 +2027,0.0,6.0 +2028,0.0,4.0 +2029,0.0,4.0 +2030,0.0,4.0 +2031,1.0,1.0 +2032,0.0,4.0 +2033,2.0,6.0 +2034,1.0,5.0 +2035,0.0,6.0 +2036,0.0,3.0 +2037,0.0,10.0 +2038,0.0,3.0 +2039,2.0,1.0 +2040,1.0,3.0 +2041,0.0,3.0 +2042,0.0,3.0 +2043,1.0,5.0 +2044,3.0,1.0 +2045,0.0,2.0 +2046,2.0,1.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,1.0,5.0 +2050,2.0,3.0 +2051,3.0,8.0 +2052,3.0,2.0 +2053,0.0,2.0 +2054,2.0,5.0 +2055,0.0,7.0 +2056,2.0,7.0 +2057,0.0,2.0 +2058,0.0,3.0 +2059,2.0,4.0 +2060,1.0,4.0 +2061,2.0,5.0 +2062,2.0,5.0 +2063,1.0,6.0 +2064,1.0,5.0 +2065,2.0,6.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,2.0,2.0 +2069,2.0,0.0 +2070,0.0,4.0 +2071,2.0,4.0 +2072,1.0,2.0 +2073,1.0,9.0 +2074,1.0,9.0 +2075,0.0,1.0 +2076,2.0,3.0 +2077,1.0,5.0 +2078,0.0,2.0 +2079,1.0,5.0 +2080,0.0,3.0 +2081,0.0,5.0 +2082,4.0,9.0 +2083,1.0,1.0 +2084,2.0,6.0 +2085,2.0,3.0 +2086,0.0,3.0 +2087,0.0,5.0 +2088,2.0,5.0 +2089,0.0,4.0 +2090,1.0,6.0 +2091,1.0,9.0 +2092,1.0,6.0 +2093,1.0,7.0 +2094,4.0,4.0 +2095,1.0,2.0 +2096,1.0,2.0 +2097,3.0,3.0 +2098,2.0,7.0 +2099,2.0,5.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/137-peak+year_c.csv b/SurgeData/137-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/137-peak+year_c.csv rename to SurgeData/137-peak+year_c.csv diff --git a/SurgeData/N=1000/137-peak+year_w.csv b/SurgeData/137-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/137-peak+year_w.csv rename to SurgeData/137-peak+year_w.csv diff --git a/SurgeData/N=1000/137-peak_c.csv b/SurgeData/137-peak_c.csv similarity index 100% rename from SurgeData/N=1000/137-peak_c.csv rename to SurgeData/137-peak_c.csv diff --git a/SurgeData/N=1000/137-peak_w.csv b/SurgeData/137-peak_w.csv similarity index 100% rename from SurgeData/N=1000/137-peak_w.csv rename to SurgeData/137-peak_w.csv diff --git a/SurgeData/N=1000/137-surge_c.csv b/SurgeData/137-surge_c.csv similarity index 100% rename from SurgeData/N=1000/137-surge_c.csv rename to SurgeData/137-surge_c.csv diff --git a/SurgeData/N=1000/137-surge_w.csv b/SurgeData/137-surge_w.csv similarity index 100% rename from SurgeData/N=1000/137-surge_w.csv rename to SurgeData/137-surge_w.csv diff --git a/SurgeData/N=1000/137-time_c.csv b/SurgeData/137-time_c.csv similarity index 100% rename from SurgeData/N=1000/137-time_c.csv rename to SurgeData/137-time_c.csv diff --git a/SurgeData/N=1000/137-time_w.csv b/SurgeData/137-time_w.csv similarity index 100% rename from SurgeData/N=1000/137-time_w.csv rename to SurgeData/137-time_w.csv diff --git a/SurgeData/N=1000/137-waterlevel_c.csv b/SurgeData/137-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/137-waterlevel_c.csv rename to SurgeData/137-waterlevel_c.csv diff --git a/SurgeData/N=1000/137-waterlevel_w.csv b/SurgeData/137-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/137-waterlevel_w.csv rename to SurgeData/137-waterlevel_w.csv diff --git a/SurgeData/138-num_storm.csv b/SurgeData/138-num_storm.csv new file mode 100644 index 00000000..833c2bc9 --- /dev/null +++ b/SurgeData/138-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,6.0 +2022,0.0,5.0 +2023,0.0,6.0 +2024,3.0,6.0 +2025,2.0,6.0 +2026,5.0,3.0 +2027,0.0,3.0 +2028,1.0,2.0 +2029,0.0,3.0 +2030,4.0,5.0 +2031,1.0,3.0 +2032,0.0,5.0 +2033,3.0,2.0 +2034,2.0,3.0 +2035,3.0,0.0 +2036,1.0,2.0 +2037,1.0,7.0 +2038,1.0,3.0 +2039,0.0,3.0 +2040,0.0,6.0 +2041,0.0,5.0 +2042,2.0,4.0 +2043,2.0,5.0 +2044,2.0,6.0 +2045,1.0,4.0 +2046,5.0,4.0 +2047,4.0,4.0 +2048,2.0,3.0 +2049,1.0,6.0 +2050,1.0,5.0 +2051,2.0,2.0 +2052,1.0,7.0 +2053,2.0,2.0 +2054,2.0,6.0 +2055,1.0,5.0 +2056,0.0,3.0 +2057,1.0,3.0 +2058,2.0,3.0 +2059,4.0,5.0 +2060,2.0,3.0 +2061,3.0,3.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,0.0,2.0 +2065,2.0,2.0 +2066,1.0,10.0 +2067,0.0,6.0 +2068,2.0,3.0 +2069,0.0,5.0 +2070,5.0,5.0 +2071,0.0,6.0 +2072,0.0,3.0 +2073,1.0,3.0 +2074,2.0,1.0 +2075,1.0,3.0 +2076,2.0,3.0 +2077,4.0,4.0 +2078,0.0,4.0 +2079,3.0,1.0 +2080,2.0,6.0 +2081,2.0,6.0 +2082,1.0,0.0 +2083,1.0,6.0 +2084,0.0,3.0 +2085,0.0,7.0 +2086,3.0,8.0 +2087,1.0,1.0 +2088,1.0,3.0 +2089,3.0,7.0 +2090,1.0,2.0 +2091,1.0,4.0 +2092,2.0,1.0 +2093,1.0,4.0 +2094,0.0,7.0 +2095,1.0,4.0 +2096,2.0,1.0 +2097,2.0,6.0 +2098,1.0,5.0 +2099,2.0,7.0 +2100,1.0,0.0 diff --git a/SurgeData/N=1000/138-peak+year_c.csv b/SurgeData/138-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/138-peak+year_c.csv rename to SurgeData/138-peak+year_c.csv diff --git a/SurgeData/N=1000/138-peak+year_w.csv b/SurgeData/138-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/138-peak+year_w.csv rename to SurgeData/138-peak+year_w.csv diff --git a/SurgeData/N=1000/138-peak_c.csv b/SurgeData/138-peak_c.csv similarity index 100% rename from SurgeData/N=1000/138-peak_c.csv rename to SurgeData/138-peak_c.csv diff --git a/SurgeData/N=1000/138-peak_w.csv b/SurgeData/138-peak_w.csv similarity index 100% rename from SurgeData/N=1000/138-peak_w.csv rename to SurgeData/138-peak_w.csv diff --git a/SurgeData/N=1000/138-surge_c.csv b/SurgeData/138-surge_c.csv similarity index 100% rename from SurgeData/N=1000/138-surge_c.csv rename to SurgeData/138-surge_c.csv diff --git a/SurgeData/N=1000/138-surge_w.csv b/SurgeData/138-surge_w.csv similarity index 100% rename from SurgeData/N=1000/138-surge_w.csv rename to SurgeData/138-surge_w.csv diff --git a/SurgeData/N=1000/138-time_c.csv b/SurgeData/138-time_c.csv similarity index 100% rename from SurgeData/N=1000/138-time_c.csv rename to SurgeData/138-time_c.csv diff --git a/SurgeData/N=1000/138-time_w.csv b/SurgeData/138-time_w.csv similarity index 100% rename from SurgeData/N=1000/138-time_w.csv rename to SurgeData/138-time_w.csv diff --git a/SurgeData/N=1000/138-waterlevel_c.csv b/SurgeData/138-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/138-waterlevel_c.csv rename to SurgeData/138-waterlevel_c.csv diff --git a/SurgeData/N=1000/138-waterlevel_w.csv b/SurgeData/138-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/138-waterlevel_w.csv rename to SurgeData/138-waterlevel_w.csv diff --git a/SurgeData/139-num_storm.csv b/SurgeData/139-num_storm.csv new file mode 100644 index 00000000..8aa4ed53 --- /dev/null +++ b/SurgeData/139-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,4.0,2.0 +2022,3.0,3.0 +2023,2.0,5.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,1.0,3.0 +2027,2.0,8.0 +2028,2.0,3.0 +2029,0.0,5.0 +2030,5.0,8.0 +2031,1.0,2.0 +2032,2.0,2.0 +2033,1.0,5.0 +2034,0.0,6.0 +2035,1.0,4.0 +2036,0.0,5.0 +2037,2.0,3.0 +2038,1.0,4.0 +2039,1.0,5.0 +2040,4.0,1.0 +2041,6.0,3.0 +2042,1.0,5.0 +2043,1.0,5.0 +2044,3.0,6.0 +2045,1.0,2.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,1.0,5.0 +2049,0.0,6.0 +2050,1.0,8.0 +2051,0.0,5.0 +2052,5.0,1.0 +2053,2.0,10.0 +2054,2.0,0.0 +2055,0.0,5.0 +2056,1.0,3.0 +2057,2.0,3.0 +2058,4.0,4.0 +2059,1.0,8.0 +2060,1.0,3.0 +2061,2.0,1.0 +2062,0.0,6.0 +2063,1.0,4.0 +2064,0.0,7.0 +2065,2.0,4.0 +2066,2.0,3.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,1.0,0.0 +2070,1.0,4.0 +2071,0.0,4.0 +2072,1.0,5.0 +2073,1.0,6.0 +2074,1.0,5.0 +2075,3.0,4.0 +2076,3.0,5.0 +2077,0.0,3.0 +2078,1.0,4.0 +2079,3.0,4.0 +2080,0.0,2.0 +2081,0.0,3.0 +2082,5.0,3.0 +2083,3.0,2.0 +2084,1.0,7.0 +2085,1.0,4.0 +2086,2.0,2.0 +2087,1.0,8.0 +2088,0.0,3.0 +2089,3.0,4.0 +2090,0.0,5.0 +2091,2.0,2.0 +2092,2.0,8.0 +2093,2.0,6.0 +2094,2.0,3.0 +2095,1.0,2.0 +2096,1.0,6.0 +2097,1.0,6.0 +2098,4.0,6.0 +2099,0.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/139-peak+year_c.csv b/SurgeData/139-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/139-peak+year_c.csv rename to SurgeData/139-peak+year_c.csv diff --git a/SurgeData/N=1000/139-peak+year_w.csv b/SurgeData/139-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/139-peak+year_w.csv rename to SurgeData/139-peak+year_w.csv diff --git a/SurgeData/N=1000/139-peak_c.csv b/SurgeData/139-peak_c.csv similarity index 100% rename from SurgeData/N=1000/139-peak_c.csv rename to SurgeData/139-peak_c.csv diff --git a/SurgeData/N=1000/139-peak_w.csv b/SurgeData/139-peak_w.csv similarity index 100% rename from SurgeData/N=1000/139-peak_w.csv rename to SurgeData/139-peak_w.csv diff --git a/SurgeData/N=1000/139-surge_c.csv b/SurgeData/139-surge_c.csv similarity index 100% rename from SurgeData/N=1000/139-surge_c.csv rename to SurgeData/139-surge_c.csv diff --git a/SurgeData/N=1000/139-surge_w.csv b/SurgeData/139-surge_w.csv similarity index 100% rename from SurgeData/N=1000/139-surge_w.csv rename to SurgeData/139-surge_w.csv diff --git a/SurgeData/N=1000/139-time_c.csv b/SurgeData/139-time_c.csv similarity index 100% rename from SurgeData/N=1000/139-time_c.csv rename to SurgeData/139-time_c.csv diff --git a/SurgeData/N=1000/139-time_w.csv b/SurgeData/139-time_w.csv similarity index 100% rename from SurgeData/N=1000/139-time_w.csv rename to SurgeData/139-time_w.csv diff --git a/SurgeData/N=1000/139-waterlevel_c.csv b/SurgeData/139-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/139-waterlevel_c.csv rename to SurgeData/139-waterlevel_c.csv diff --git a/SurgeData/N=1000/139-waterlevel_w.csv b/SurgeData/139-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/139-waterlevel_w.csv rename to SurgeData/139-waterlevel_w.csv diff --git a/SurgeData/14-num_storm.csv b/SurgeData/14-num_storm.csv new file mode 100644 index 00000000..773b6403 --- /dev/null +++ b/SurgeData/14-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,3.0,4.0 +2022,1.0,2.0 +2023,0.0,5.0 +2024,1.0,5.0 +2025,2.0,4.0 +2026,3.0,8.0 +2027,3.0,7.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,1.0,4.0 +2031,0.0,6.0 +2032,1.0,3.0 +2033,0.0,1.0 +2034,3.0,5.0 +2035,0.0,6.0 +2036,1.0,3.0 +2037,2.0,7.0 +2038,1.0,2.0 +2039,1.0,3.0 +2040,0.0,7.0 +2041,0.0,6.0 +2042,1.0,5.0 +2043,3.0,9.0 +2044,1.0,3.0 +2045,0.0,3.0 +2046,2.0,2.0 +2047,3.0,4.0 +2048,3.0,4.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,0.0,10.0 +2052,2.0,7.0 +2053,4.0,4.0 +2054,1.0,2.0 +2055,1.0,7.0 +2056,3.0,5.0 +2057,3.0,3.0 +2058,2.0,5.0 +2059,4.0,3.0 +2060,1.0,5.0 +2061,0.0,3.0 +2062,0.0,3.0 +2063,1.0,6.0 +2064,0.0,5.0 +2065,1.0,5.0 +2066,0.0,3.0 +2067,1.0,5.0 +2068,2.0,1.0 +2069,3.0,2.0 +2070,2.0,2.0 +2071,1.0,3.0 +2072,2.0,4.0 +2073,1.0,6.0 +2074,3.0,3.0 +2075,0.0,3.0 +2076,1.0,5.0 +2077,1.0,4.0 +2078,2.0,4.0 +2079,3.0,5.0 +2080,2.0,8.0 +2081,1.0,2.0 +2082,2.0,4.0 +2083,1.0,2.0 +2084,1.0,3.0 +2085,0.0,4.0 +2086,2.0,9.0 +2087,1.0,3.0 +2088,3.0,7.0 +2089,2.0,4.0 +2090,1.0,2.0 +2091,1.0,2.0 +2092,2.0,3.0 +2093,3.0,7.0 +2094,2.0,8.0 +2095,1.0,4.0 +2096,1.0,4.0 +2097,2.0,3.0 +2098,1.0,2.0 +2099,0.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/14-peak+year_c.csv b/SurgeData/14-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/14-peak+year_c.csv rename to SurgeData/14-peak+year_c.csv diff --git a/SurgeData/N=1000/14-peak+year_w.csv b/SurgeData/14-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/14-peak+year_w.csv rename to SurgeData/14-peak+year_w.csv diff --git a/SurgeData/N=1000/14-peak_c.csv b/SurgeData/14-peak_c.csv similarity index 100% rename from SurgeData/N=1000/14-peak_c.csv rename to SurgeData/14-peak_c.csv diff --git a/SurgeData/N=1000/14-peak_w.csv b/SurgeData/14-peak_w.csv similarity index 100% rename from SurgeData/N=1000/14-peak_w.csv rename to SurgeData/14-peak_w.csv diff --git a/SurgeData/N=1000/14-surge_c.csv b/SurgeData/14-surge_c.csv similarity index 100% rename from SurgeData/N=1000/14-surge_c.csv rename to SurgeData/14-surge_c.csv diff --git a/SurgeData/N=1000/14-surge_w.csv b/SurgeData/14-surge_w.csv similarity index 100% rename from SurgeData/N=1000/14-surge_w.csv rename to SurgeData/14-surge_w.csv diff --git a/SurgeData/N=1000/14-time_c.csv b/SurgeData/14-time_c.csv similarity index 100% rename from SurgeData/N=1000/14-time_c.csv rename to SurgeData/14-time_c.csv diff --git a/SurgeData/N=1000/14-time_w.csv b/SurgeData/14-time_w.csv similarity index 100% rename from SurgeData/N=1000/14-time_w.csv rename to SurgeData/14-time_w.csv diff --git a/SurgeData/N=1000/14-waterlevel_c.csv b/SurgeData/14-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/14-waterlevel_c.csv rename to SurgeData/14-waterlevel_c.csv diff --git a/SurgeData/N=1000/14-waterlevel_w.csv b/SurgeData/14-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/14-waterlevel_w.csv rename to SurgeData/14-waterlevel_w.csv diff --git a/SurgeData/140-num_storm.csv b/SurgeData/140-num_storm.csv new file mode 100644 index 00000000..8b1c17ee --- /dev/null +++ b/SurgeData/140-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,5.0 +2022,1.0,3.0 +2023,0.0,4.0 +2024,0.0,3.0 +2025,1.0,6.0 +2026,2.0,3.0 +2027,1.0,5.0 +2028,0.0,2.0 +2029,0.0,4.0 +2030,4.0,4.0 +2031,2.0,4.0 +2032,0.0,2.0 +2033,1.0,5.0 +2034,2.0,5.0 +2035,1.0,6.0 +2036,2.0,3.0 +2037,1.0,6.0 +2038,5.0,2.0 +2039,1.0,0.0 +2040,1.0,5.0 +2041,2.0,6.0 +2042,3.0,3.0 +2043,1.0,5.0 +2044,1.0,3.0 +2045,4.0,13.0 +2046,2.0,2.0 +2047,0.0,7.0 +2048,1.0,4.0 +2049,1.0,3.0 +2050,1.0,3.0 +2051,0.0,4.0 +2052,2.0,6.0 +2053,2.0,8.0 +2054,1.0,6.0 +2055,1.0,2.0 +2056,1.0,2.0 +2057,1.0,4.0 +2058,0.0,3.0 +2059,1.0,4.0 +2060,2.0,1.0 +2061,1.0,2.0 +2062,2.0,7.0 +2063,0.0,4.0 +2064,2.0,0.0 +2065,0.0,1.0 +2066,3.0,4.0 +2067,1.0,8.0 +2068,2.0,5.0 +2069,1.0,5.0 +2070,1.0,8.0 +2071,2.0,4.0 +2072,5.0,6.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,0.0,4.0 +2076,2.0,2.0 +2077,1.0,6.0 +2078,1.0,9.0 +2079,2.0,2.0 +2080,4.0,5.0 +2081,1.0,2.0 +2082,1.0,5.0 +2083,3.0,1.0 +2084,3.0,7.0 +2085,0.0,3.0 +2086,1.0,2.0 +2087,1.0,2.0 +2088,2.0,8.0 +2089,3.0,2.0 +2090,0.0,5.0 +2091,1.0,4.0 +2092,1.0,7.0 +2093,0.0,5.0 +2094,1.0,2.0 +2095,0.0,8.0 +2096,0.0,1.0 +2097,1.0,4.0 +2098,1.0,4.0 +2099,0.0,7.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/140-peak+year_c.csv b/SurgeData/140-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/140-peak+year_c.csv rename to SurgeData/140-peak+year_c.csv diff --git a/SurgeData/N=1000/140-peak+year_w.csv b/SurgeData/140-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/140-peak+year_w.csv rename to SurgeData/140-peak+year_w.csv diff --git a/SurgeData/N=1000/140-peak_c.csv b/SurgeData/140-peak_c.csv similarity index 100% rename from SurgeData/N=1000/140-peak_c.csv rename to SurgeData/140-peak_c.csv diff --git a/SurgeData/N=1000/140-peak_w.csv b/SurgeData/140-peak_w.csv similarity index 100% rename from SurgeData/N=1000/140-peak_w.csv rename to SurgeData/140-peak_w.csv diff --git a/SurgeData/N=1000/140-surge_c.csv b/SurgeData/140-surge_c.csv similarity index 100% rename from SurgeData/N=1000/140-surge_c.csv rename to SurgeData/140-surge_c.csv diff --git a/SurgeData/N=1000/140-surge_w.csv b/SurgeData/140-surge_w.csv similarity index 100% rename from SurgeData/N=1000/140-surge_w.csv rename to SurgeData/140-surge_w.csv diff --git a/SurgeData/N=1000/140-time_c.csv b/SurgeData/140-time_c.csv similarity index 100% rename from SurgeData/N=1000/140-time_c.csv rename to SurgeData/140-time_c.csv diff --git a/SurgeData/N=1000/140-time_w.csv b/SurgeData/140-time_w.csv similarity index 100% rename from SurgeData/N=1000/140-time_w.csv rename to SurgeData/140-time_w.csv diff --git a/SurgeData/N=1000/140-waterlevel_c.csv b/SurgeData/140-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/140-waterlevel_c.csv rename to SurgeData/140-waterlevel_c.csv diff --git a/SurgeData/N=1000/140-waterlevel_w.csv b/SurgeData/140-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/140-waterlevel_w.csv rename to SurgeData/140-waterlevel_w.csv diff --git a/SurgeData/141-num_storm.csv b/SurgeData/141-num_storm.csv new file mode 100644 index 00000000..8de0992d --- /dev/null +++ b/SurgeData/141-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,1.0 +2022,2.0,1.0 +2023,3.0,5.0 +2024,4.0,8.0 +2025,1.0,0.0 +2026,2.0,6.0 +2027,1.0,2.0 +2028,1.0,1.0 +2029,1.0,4.0 +2030,3.0,6.0 +2031,1.0,4.0 +2032,5.0,3.0 +2033,2.0,2.0 +2034,7.0,5.0 +2035,0.0,6.0 +2036,1.0,8.0 +2037,1.0,5.0 +2038,0.0,4.0 +2039,1.0,8.0 +2040,0.0,2.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,2.0,3.0 +2044,1.0,2.0 +2045,1.0,4.0 +2046,2.0,2.0 +2047,2.0,3.0 +2048,1.0,6.0 +2049,1.0,6.0 +2050,2.0,2.0 +2051,0.0,1.0 +2052,0.0,8.0 +2053,4.0,5.0 +2054,3.0,2.0 +2055,3.0,4.0 +2056,3.0,5.0 +2057,4.0,0.0 +2058,2.0,5.0 +2059,2.0,5.0 +2060,1.0,6.0 +2061,1.0,6.0 +2062,1.0,4.0 +2063,2.0,0.0 +2064,0.0,3.0 +2065,1.0,5.0 +2066,2.0,3.0 +2067,2.0,6.0 +2068,2.0,4.0 +2069,0.0,4.0 +2070,1.0,7.0 +2071,1.0,5.0 +2072,2.0,3.0 +2073,2.0,4.0 +2074,1.0,7.0 +2075,0.0,1.0 +2076,3.0,7.0 +2077,0.0,3.0 +2078,2.0,5.0 +2079,0.0,4.0 +2080,1.0,7.0 +2081,3.0,2.0 +2082,1.0,9.0 +2083,0.0,3.0 +2084,3.0,4.0 +2085,3.0,5.0 +2086,2.0,5.0 +2087,1.0,5.0 +2088,3.0,0.0 +2089,0.0,3.0 +2090,1.0,3.0 +2091,2.0,7.0 +2092,2.0,8.0 +2093,1.0,6.0 +2094,5.0,2.0 +2095,1.0,2.0 +2096,2.0,4.0 +2097,3.0,2.0 +2098,0.0,6.0 +2099,3.0,5.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/141-peak+year_c.csv b/SurgeData/141-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/141-peak+year_c.csv rename to SurgeData/141-peak+year_c.csv diff --git a/SurgeData/N=1000/141-peak+year_w.csv b/SurgeData/141-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/141-peak+year_w.csv rename to SurgeData/141-peak+year_w.csv diff --git a/SurgeData/N=1000/141-peak_c.csv b/SurgeData/141-peak_c.csv similarity index 100% rename from SurgeData/N=1000/141-peak_c.csv rename to SurgeData/141-peak_c.csv diff --git a/SurgeData/N=1000/141-peak_w.csv b/SurgeData/141-peak_w.csv similarity index 100% rename from SurgeData/N=1000/141-peak_w.csv rename to SurgeData/141-peak_w.csv diff --git a/SurgeData/N=1000/141-surge_c.csv b/SurgeData/141-surge_c.csv similarity index 100% rename from SurgeData/N=1000/141-surge_c.csv rename to SurgeData/141-surge_c.csv diff --git a/SurgeData/N=1000/141-surge_w.csv b/SurgeData/141-surge_w.csv similarity index 100% rename from SurgeData/N=1000/141-surge_w.csv rename to SurgeData/141-surge_w.csv diff --git a/SurgeData/N=1000/141-time_c.csv b/SurgeData/141-time_c.csv similarity index 100% rename from SurgeData/N=1000/141-time_c.csv rename to SurgeData/141-time_c.csv diff --git a/SurgeData/N=1000/141-time_w.csv b/SurgeData/141-time_w.csv similarity index 100% rename from SurgeData/N=1000/141-time_w.csv rename to SurgeData/141-time_w.csv diff --git a/SurgeData/N=1000/141-waterlevel_c.csv b/SurgeData/141-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/141-waterlevel_c.csv rename to SurgeData/141-waterlevel_c.csv diff --git a/SurgeData/N=1000/141-waterlevel_w.csv b/SurgeData/141-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/141-waterlevel_w.csv rename to SurgeData/141-waterlevel_w.csv diff --git a/SurgeData/142-num_storm.csv b/SurgeData/142-num_storm.csv new file mode 100644 index 00000000..e22e3f41 --- /dev/null +++ b/SurgeData/142-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,2.0,3.0 +2022,2.0,5.0 +2023,1.0,6.0 +2024,0.0,1.0 +2025,1.0,3.0 +2026,3.0,1.0 +2027,3.0,2.0 +2028,0.0,3.0 +2029,1.0,6.0 +2030,1.0,3.0 +2031,2.0,4.0 +2032,2.0,9.0 +2033,0.0,2.0 +2034,2.0,3.0 +2035,1.0,3.0 +2036,1.0,6.0 +2037,1.0,4.0 +2038,1.0,1.0 +2039,1.0,3.0 +2040,1.0,3.0 +2041,3.0,4.0 +2042,2.0,4.0 +2043,3.0,3.0 +2044,2.0,4.0 +2045,1.0,5.0 +2046,0.0,7.0 +2047,1.0,5.0 +2048,1.0,2.0 +2049,1.0,5.0 +2050,1.0,4.0 +2051,1.0,7.0 +2052,0.0,4.0 +2053,6.0,4.0 +2054,0.0,2.0 +2055,0.0,4.0 +2056,1.0,3.0 +2057,2.0,0.0 +2058,3.0,7.0 +2059,2.0,4.0 +2060,1.0,4.0 +2061,3.0,3.0 +2062,2.0,3.0 +2063,1.0,6.0 +2064,2.0,5.0 +2065,1.0,1.0 +2066,0.0,2.0 +2067,2.0,3.0 +2068,0.0,3.0 +2069,0.0,5.0 +2070,1.0,2.0 +2071,5.0,6.0 +2072,0.0,6.0 +2073,2.0,0.0 +2074,3.0,5.0 +2075,2.0,3.0 +2076,0.0,6.0 +2077,0.0,4.0 +2078,1.0,3.0 +2079,0.0,6.0 +2080,1.0,6.0 +2081,1.0,1.0 +2082,1.0,3.0 +2083,1.0,2.0 +2084,0.0,2.0 +2085,0.0,2.0 +2086,0.0,6.0 +2087,1.0,4.0 +2088,0.0,4.0 +2089,3.0,5.0 +2090,1.0,5.0 +2091,5.0,3.0 +2092,3.0,3.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,1.0,3.0 +2096,0.0,6.0 +2097,1.0,3.0 +2098,2.0,5.0 +2099,1.0,5.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/142-peak+year_c.csv b/SurgeData/142-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/142-peak+year_c.csv rename to SurgeData/142-peak+year_c.csv diff --git a/SurgeData/N=1000/142-peak+year_w.csv b/SurgeData/142-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/142-peak+year_w.csv rename to SurgeData/142-peak+year_w.csv diff --git a/SurgeData/N=1000/142-peak_c.csv b/SurgeData/142-peak_c.csv similarity index 100% rename from SurgeData/N=1000/142-peak_c.csv rename to SurgeData/142-peak_c.csv diff --git a/SurgeData/N=1000/142-peak_w.csv b/SurgeData/142-peak_w.csv similarity index 100% rename from SurgeData/N=1000/142-peak_w.csv rename to SurgeData/142-peak_w.csv diff --git a/SurgeData/N=1000/142-surge_c.csv b/SurgeData/142-surge_c.csv similarity index 100% rename from SurgeData/N=1000/142-surge_c.csv rename to SurgeData/142-surge_c.csv diff --git a/SurgeData/N=1000/142-surge_w.csv b/SurgeData/142-surge_w.csv similarity index 100% rename from SurgeData/N=1000/142-surge_w.csv rename to SurgeData/142-surge_w.csv diff --git a/SurgeData/N=1000/142-time_c.csv b/SurgeData/142-time_c.csv similarity index 100% rename from SurgeData/N=1000/142-time_c.csv rename to SurgeData/142-time_c.csv diff --git a/SurgeData/N=1000/142-time_w.csv b/SurgeData/142-time_w.csv similarity index 100% rename from SurgeData/N=1000/142-time_w.csv rename to SurgeData/142-time_w.csv diff --git a/SurgeData/N=1000/142-waterlevel_c.csv b/SurgeData/142-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/142-waterlevel_c.csv rename to SurgeData/142-waterlevel_c.csv diff --git a/SurgeData/N=1000/142-waterlevel_w.csv b/SurgeData/142-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/142-waterlevel_w.csv rename to SurgeData/142-waterlevel_w.csv diff --git a/SurgeData/N=1000/143-peak+year_c.csv b/SurgeData/143-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/143-peak+year_c.csv rename to SurgeData/143-peak+year_c.csv diff --git a/SurgeData/N=1000/143-peak+year_w.csv b/SurgeData/143-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/143-peak+year_w.csv rename to SurgeData/143-peak+year_w.csv diff --git a/SurgeData/N=1000/143-peak_c.csv b/SurgeData/143-peak_c.csv similarity index 100% rename from SurgeData/N=1000/143-peak_c.csv rename to SurgeData/143-peak_c.csv diff --git a/SurgeData/N=1000/143-peak_w.csv b/SurgeData/143-peak_w.csv similarity index 100% rename from SurgeData/N=1000/143-peak_w.csv rename to SurgeData/143-peak_w.csv diff --git a/SurgeData/N=1000/143-surge_c.csv b/SurgeData/143-surge_c.csv similarity index 100% rename from SurgeData/N=1000/143-surge_c.csv rename to SurgeData/143-surge_c.csv diff --git a/SurgeData/N=1000/143-surge_w.csv b/SurgeData/143-surge_w.csv similarity index 100% rename from SurgeData/N=1000/143-surge_w.csv rename to SurgeData/143-surge_w.csv diff --git a/SurgeData/N=1000/143-time_c.csv b/SurgeData/143-time_c.csv similarity index 100% rename from SurgeData/N=1000/143-time_c.csv rename to SurgeData/143-time_c.csv diff --git a/SurgeData/N=1000/143-time_w.csv b/SurgeData/143-time_w.csv similarity index 100% rename from SurgeData/N=1000/143-time_w.csv rename to SurgeData/143-time_w.csv diff --git a/SurgeData/N=1000/143-waterlevel_c.csv b/SurgeData/143-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/143-waterlevel_c.csv rename to SurgeData/143-waterlevel_c.csv diff --git a/SurgeData/N=1000/143-waterlevel_w.csv b/SurgeData/143-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/143-waterlevel_w.csv rename to SurgeData/143-waterlevel_w.csv diff --git a/SurgeData/N=1000/144-peak+year_c.csv b/SurgeData/144-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/144-peak+year_c.csv rename to SurgeData/144-peak+year_c.csv diff --git a/SurgeData/N=1000/144-peak+year_w.csv b/SurgeData/144-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/144-peak+year_w.csv rename to SurgeData/144-peak+year_w.csv diff --git a/SurgeData/N=1000/144-peak_c.csv b/SurgeData/144-peak_c.csv similarity index 100% rename from SurgeData/N=1000/144-peak_c.csv rename to SurgeData/144-peak_c.csv diff --git a/SurgeData/N=1000/144-peak_w.csv b/SurgeData/144-peak_w.csv similarity index 100% rename from SurgeData/N=1000/144-peak_w.csv rename to SurgeData/144-peak_w.csv diff --git a/SurgeData/N=1000/144-surge_c.csv b/SurgeData/144-surge_c.csv similarity index 100% rename from SurgeData/N=1000/144-surge_c.csv rename to SurgeData/144-surge_c.csv diff --git a/SurgeData/N=1000/144-surge_w.csv b/SurgeData/144-surge_w.csv similarity index 100% rename from SurgeData/N=1000/144-surge_w.csv rename to SurgeData/144-surge_w.csv diff --git a/SurgeData/N=1000/144-time_c.csv b/SurgeData/144-time_c.csv similarity index 100% rename from SurgeData/N=1000/144-time_c.csv rename to SurgeData/144-time_c.csv diff --git a/SurgeData/N=1000/144-time_w.csv b/SurgeData/144-time_w.csv similarity index 100% rename from SurgeData/N=1000/144-time_w.csv rename to SurgeData/144-time_w.csv diff --git a/SurgeData/N=1000/144-waterlevel_c.csv b/SurgeData/144-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/144-waterlevel_c.csv rename to SurgeData/144-waterlevel_c.csv diff --git a/SurgeData/N=1000/144-waterlevel_w.csv b/SurgeData/144-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/144-waterlevel_w.csv rename to SurgeData/144-waterlevel_w.csv diff --git a/SurgeData/145-num_storm.csv b/SurgeData/145-num_storm.csv new file mode 100644 index 00000000..206d9974 --- /dev/null +++ b/SurgeData/145-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,0.0,4.0 +2022,2.0,1.0 +2023,1.0,5.0 +2024,2.0,3.0 +2025,1.0,5.0 +2026,0.0,4.0 +2027,2.0,2.0 +2028,3.0,7.0 +2029,2.0,3.0 +2030,1.0,3.0 +2031,0.0,5.0 +2032,2.0,3.0 +2033,0.0,3.0 +2034,3.0,2.0 +2035,1.0,5.0 +2036,3.0,2.0 +2037,1.0,8.0 +2038,2.0,3.0 +2039,0.0,5.0 +2040,2.0,6.0 +2041,2.0,3.0 +2042,3.0,5.0 +2043,2.0,1.0 +2044,0.0,5.0 +2045,4.0,2.0 +2046,2.0,8.0 +2047,4.0,3.0 +2048,1.0,2.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,5.0,1.0 +2052,4.0,2.0 +2053,2.0,2.0 +2054,0.0,3.0 +2055,1.0,11.0 +2056,1.0,6.0 +2057,2.0,4.0 +2058,1.0,5.0 +2059,3.0,6.0 +2060,1.0,4.0 +2061,0.0,4.0 +2062,1.0,4.0 +2063,1.0,6.0 +2064,1.0,7.0 +2065,1.0,4.0 +2066,0.0,7.0 +2067,3.0,6.0 +2068,2.0,6.0 +2069,1.0,4.0 +2070,2.0,8.0 +2071,3.0,9.0 +2072,0.0,7.0 +2073,2.0,4.0 +2074,2.0,1.0 +2075,2.0,5.0 +2076,2.0,3.0 +2077,2.0,4.0 +2078,1.0,0.0 +2079,4.0,3.0 +2080,2.0,4.0 +2081,0.0,8.0 +2082,2.0,4.0 +2083,0.0,3.0 +2084,2.0,1.0 +2085,1.0,5.0 +2086,2.0,0.0 +2087,0.0,7.0 +2088,2.0,4.0 +2089,2.0,4.0 +2090,0.0,1.0 +2091,3.0,4.0 +2092,1.0,3.0 +2093,2.0,10.0 +2094,0.0,5.0 +2095,3.0,3.0 +2096,2.0,5.0 +2097,3.0,5.0 +2098,1.0,1.0 +2099,1.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/145-peak+year_c.csv b/SurgeData/145-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/145-peak+year_c.csv rename to SurgeData/145-peak+year_c.csv diff --git a/SurgeData/N=1000/145-peak+year_w.csv b/SurgeData/145-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/145-peak+year_w.csv rename to SurgeData/145-peak+year_w.csv diff --git a/SurgeData/N=1000/145-peak_c.csv b/SurgeData/145-peak_c.csv similarity index 100% rename from SurgeData/N=1000/145-peak_c.csv rename to SurgeData/145-peak_c.csv diff --git a/SurgeData/N=1000/145-peak_w.csv b/SurgeData/145-peak_w.csv similarity index 100% rename from SurgeData/N=1000/145-peak_w.csv rename to SurgeData/145-peak_w.csv diff --git a/SurgeData/N=1000/145-surge_c.csv b/SurgeData/145-surge_c.csv similarity index 100% rename from SurgeData/N=1000/145-surge_c.csv rename to SurgeData/145-surge_c.csv diff --git a/SurgeData/N=1000/145-surge_w.csv b/SurgeData/145-surge_w.csv similarity index 100% rename from SurgeData/N=1000/145-surge_w.csv rename to SurgeData/145-surge_w.csv diff --git a/SurgeData/N=1000/145-time_c.csv b/SurgeData/145-time_c.csv similarity index 100% rename from SurgeData/N=1000/145-time_c.csv rename to SurgeData/145-time_c.csv diff --git a/SurgeData/N=1000/145-time_w.csv b/SurgeData/145-time_w.csv similarity index 100% rename from SurgeData/N=1000/145-time_w.csv rename to SurgeData/145-time_w.csv diff --git a/SurgeData/N=1000/145-waterlevel_c.csv b/SurgeData/145-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/145-waterlevel_c.csv rename to SurgeData/145-waterlevel_c.csv diff --git a/SurgeData/N=1000/145-waterlevel_w.csv b/SurgeData/145-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/145-waterlevel_w.csv rename to SurgeData/145-waterlevel_w.csv diff --git a/SurgeData/146-num_storm.csv b/SurgeData/146-num_storm.csv new file mode 100644 index 00000000..a2f6dab9 --- /dev/null +++ b/SurgeData/146-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,3.0,4.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,2.0,2.0 +2025,1.0,3.0 +2026,2.0,8.0 +2027,1.0,1.0 +2028,0.0,1.0 +2029,2.0,6.0 +2030,0.0,3.0 +2031,1.0,9.0 +2032,2.0,6.0 +2033,1.0,5.0 +2034,2.0,2.0 +2035,2.0,4.0 +2036,0.0,3.0 +2037,2.0,8.0 +2038,0.0,4.0 +2039,1.0,3.0 +2040,3.0,6.0 +2041,0.0,4.0 +2042,1.0,2.0 +2043,2.0,5.0 +2044,3.0,2.0 +2045,1.0,7.0 +2046,0.0,7.0 +2047,0.0,4.0 +2048,0.0,2.0 +2049,0.0,4.0 +2050,4.0,3.0 +2051,0.0,2.0 +2052,1.0,3.0 +2053,1.0,4.0 +2054,1.0,3.0 +2055,2.0,2.0 +2056,3.0,2.0 +2057,0.0,2.0 +2058,0.0,2.0 +2059,3.0,5.0 +2060,1.0,3.0 +2061,1.0,6.0 +2062,2.0,8.0 +2063,1.0,1.0 +2064,1.0,3.0 +2065,1.0,2.0 +2066,0.0,4.0 +2067,2.0,2.0 +2068,3.0,3.0 +2069,2.0,3.0 +2070,2.0,4.0 +2071,1.0,9.0 +2072,2.0,5.0 +2073,1.0,2.0 +2074,1.0,2.0 +2075,0.0,4.0 +2076,1.0,2.0 +2077,1.0,3.0 +2078,1.0,2.0 +2079,3.0,6.0 +2080,4.0,3.0 +2081,2.0,8.0 +2082,0.0,3.0 +2083,3.0,6.0 +2084,1.0,2.0 +2085,1.0,6.0 +2086,2.0,5.0 +2087,1.0,4.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,2.0,1.0 +2091,1.0,5.0 +2092,2.0,8.0 +2093,1.0,6.0 +2094,0.0,2.0 +2095,1.0,2.0 +2096,3.0,2.0 +2097,2.0,4.0 +2098,0.0,4.0 +2099,1.0,4.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/146-peak+year_c.csv b/SurgeData/146-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/146-peak+year_c.csv rename to SurgeData/146-peak+year_c.csv diff --git a/SurgeData/N=1000/146-peak+year_w.csv b/SurgeData/146-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/146-peak+year_w.csv rename to SurgeData/146-peak+year_w.csv diff --git a/SurgeData/N=1000/146-peak_c.csv b/SurgeData/146-peak_c.csv similarity index 100% rename from SurgeData/N=1000/146-peak_c.csv rename to SurgeData/146-peak_c.csv diff --git a/SurgeData/N=1000/146-peak_w.csv b/SurgeData/146-peak_w.csv similarity index 100% rename from SurgeData/N=1000/146-peak_w.csv rename to SurgeData/146-peak_w.csv diff --git a/SurgeData/N=1000/146-surge_c.csv b/SurgeData/146-surge_c.csv similarity index 100% rename from SurgeData/N=1000/146-surge_c.csv rename to SurgeData/146-surge_c.csv diff --git a/SurgeData/N=1000/146-surge_w.csv b/SurgeData/146-surge_w.csv similarity index 100% rename from SurgeData/N=1000/146-surge_w.csv rename to SurgeData/146-surge_w.csv diff --git a/SurgeData/N=1000/146-time_c.csv b/SurgeData/146-time_c.csv similarity index 100% rename from SurgeData/N=1000/146-time_c.csv rename to SurgeData/146-time_c.csv diff --git a/SurgeData/N=1000/146-time_w.csv b/SurgeData/146-time_w.csv similarity index 100% rename from SurgeData/N=1000/146-time_w.csv rename to SurgeData/146-time_w.csv diff --git a/SurgeData/N=1000/146-waterlevel_c.csv b/SurgeData/146-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/146-waterlevel_c.csv rename to SurgeData/146-waterlevel_c.csv diff --git a/SurgeData/N=1000/146-waterlevel_w.csv b/SurgeData/146-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/146-waterlevel_w.csv rename to SurgeData/146-waterlevel_w.csv diff --git a/SurgeData/147-num_storm.csv b/SurgeData/147-num_storm.csv new file mode 100644 index 00000000..3b4aca8c --- /dev/null +++ b/SurgeData/147-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,6.0,4.0 +2021,3.0,4.0 +2022,4.0,2.0 +2023,0.0,3.0 +2024,0.0,8.0 +2025,1.0,6.0 +2026,0.0,7.0 +2027,1.0,3.0 +2028,1.0,2.0 +2029,0.0,0.0 +2030,0.0,3.0 +2031,0.0,4.0 +2032,2.0,2.0 +2033,0.0,5.0 +2034,1.0,5.0 +2035,2.0,4.0 +2036,0.0,2.0 +2037,1.0,5.0 +2038,1.0,4.0 +2039,2.0,8.0 +2040,1.0,5.0 +2041,2.0,6.0 +2042,3.0,5.0 +2043,0.0,5.0 +2044,3.0,5.0 +2045,2.0,4.0 +2046,0.0,2.0 +2047,1.0,1.0 +2048,3.0,3.0 +2049,2.0,4.0 +2050,0.0,5.0 +2051,0.0,7.0 +2052,1.0,7.0 +2053,3.0,1.0 +2054,2.0,7.0 +2055,1.0,4.0 +2056,1.0,2.0 +2057,0.0,3.0 +2058,3.0,6.0 +2059,3.0,3.0 +2060,4.0,5.0 +2061,3.0,3.0 +2062,5.0,9.0 +2063,1.0,4.0 +2064,2.0,3.0 +2065,1.0,6.0 +2066,4.0,5.0 +2067,2.0,5.0 +2068,4.0,1.0 +2069,0.0,1.0 +2070,1.0,9.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,1.0,9.0 +2074,2.0,0.0 +2075,1.0,5.0 +2076,1.0,5.0 +2077,0.0,4.0 +2078,2.0,3.0 +2079,3.0,6.0 +2080,3.0,7.0 +2081,0.0,5.0 +2082,1.0,3.0 +2083,0.0,4.0 +2084,2.0,7.0 +2085,1.0,8.0 +2086,0.0,8.0 +2087,1.0,7.0 +2088,3.0,6.0 +2089,2.0,4.0 +2090,1.0,7.0 +2091,1.0,10.0 +2092,4.0,5.0 +2093,1.0,5.0 +2094,0.0,0.0 +2095,3.0,3.0 +2096,1.0,5.0 +2097,0.0,3.0 +2098,0.0,4.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/147-peak+year_c.csv b/SurgeData/147-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/147-peak+year_c.csv rename to SurgeData/147-peak+year_c.csv diff --git a/SurgeData/N=1000/147-peak+year_w.csv b/SurgeData/147-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/147-peak+year_w.csv rename to SurgeData/147-peak+year_w.csv diff --git a/SurgeData/N=1000/147-peak_c.csv b/SurgeData/147-peak_c.csv similarity index 100% rename from SurgeData/N=1000/147-peak_c.csv rename to SurgeData/147-peak_c.csv diff --git a/SurgeData/N=1000/147-peak_w.csv b/SurgeData/147-peak_w.csv similarity index 100% rename from SurgeData/N=1000/147-peak_w.csv rename to SurgeData/147-peak_w.csv diff --git a/SurgeData/N=1000/147-surge_c.csv b/SurgeData/147-surge_c.csv similarity index 100% rename from SurgeData/N=1000/147-surge_c.csv rename to SurgeData/147-surge_c.csv diff --git a/SurgeData/N=1000/147-surge_w.csv b/SurgeData/147-surge_w.csv similarity index 100% rename from SurgeData/N=1000/147-surge_w.csv rename to SurgeData/147-surge_w.csv diff --git a/SurgeData/N=1000/147-time_c.csv b/SurgeData/147-time_c.csv similarity index 100% rename from SurgeData/N=1000/147-time_c.csv rename to SurgeData/147-time_c.csv diff --git a/SurgeData/N=1000/147-time_w.csv b/SurgeData/147-time_w.csv similarity index 100% rename from SurgeData/N=1000/147-time_w.csv rename to SurgeData/147-time_w.csv diff --git a/SurgeData/N=1000/147-waterlevel_c.csv b/SurgeData/147-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/147-waterlevel_c.csv rename to SurgeData/147-waterlevel_c.csv diff --git a/SurgeData/N=1000/147-waterlevel_w.csv b/SurgeData/147-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/147-waterlevel_w.csv rename to SurgeData/147-waterlevel_w.csv diff --git a/SurgeData/148-num_storm.csv b/SurgeData/148-num_storm.csv new file mode 100644 index 00000000..7f869699 --- /dev/null +++ b/SurgeData/148-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,1.0,1.0 +2024,0.0,4.0 +2025,0.0,3.0 +2026,0.0,4.0 +2027,1.0,5.0 +2028,3.0,3.0 +2029,2.0,3.0 +2030,3.0,3.0 +2031,1.0,7.0 +2032,2.0,9.0 +2033,2.0,8.0 +2034,0.0,3.0 +2035,1.0,1.0 +2036,0.0,4.0 +2037,2.0,3.0 +2038,1.0,6.0 +2039,2.0,3.0 +2040,0.0,3.0 +2041,1.0,8.0 +2042,2.0,2.0 +2043,1.0,2.0 +2044,3.0,6.0 +2045,1.0,6.0 +2046,1.0,7.0 +2047,2.0,2.0 +2048,2.0,5.0 +2049,1.0,5.0 +2050,0.0,2.0 +2051,1.0,8.0 +2052,3.0,3.0 +2053,1.0,4.0 +2054,1.0,7.0 +2055,1.0,4.0 +2056,1.0,3.0 +2057,2.0,5.0 +2058,5.0,5.0 +2059,0.0,5.0 +2060,3.0,4.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,1.0,1.0 +2064,2.0,6.0 +2065,1.0,5.0 +2066,3.0,3.0 +2067,3.0,7.0 +2068,3.0,1.0 +2069,3.0,4.0 +2070,0.0,3.0 +2071,2.0,5.0 +2072,1.0,3.0 +2073,1.0,1.0 +2074,4.0,4.0 +2075,1.0,4.0 +2076,0.0,2.0 +2077,0.0,5.0 +2078,1.0,4.0 +2079,3.0,5.0 +2080,1.0,3.0 +2081,1.0,1.0 +2082,1.0,6.0 +2083,3.0,4.0 +2084,1.0,5.0 +2085,0.0,6.0 +2086,4.0,5.0 +2087,4.0,7.0 +2088,3.0,3.0 +2089,2.0,3.0 +2090,1.0,5.0 +2091,1.0,2.0 +2092,1.0,5.0 +2093,1.0,2.0 +2094,1.0,8.0 +2095,3.0,5.0 +2096,1.0,2.0 +2097,1.0,6.0 +2098,3.0,4.0 +2099,3.0,6.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/148-peak+year_c.csv b/SurgeData/148-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/148-peak+year_c.csv rename to SurgeData/148-peak+year_c.csv diff --git a/SurgeData/N=1000/148-peak+year_w.csv b/SurgeData/148-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/148-peak+year_w.csv rename to SurgeData/148-peak+year_w.csv diff --git a/SurgeData/N=1000/148-peak_c.csv b/SurgeData/148-peak_c.csv similarity index 100% rename from SurgeData/N=1000/148-peak_c.csv rename to SurgeData/148-peak_c.csv diff --git a/SurgeData/N=1000/148-peak_w.csv b/SurgeData/148-peak_w.csv similarity index 100% rename from SurgeData/N=1000/148-peak_w.csv rename to SurgeData/148-peak_w.csv diff --git a/SurgeData/N=1000/148-surge_c.csv b/SurgeData/148-surge_c.csv similarity index 100% rename from SurgeData/N=1000/148-surge_c.csv rename to SurgeData/148-surge_c.csv diff --git a/SurgeData/N=1000/148-surge_w.csv b/SurgeData/148-surge_w.csv similarity index 100% rename from SurgeData/N=1000/148-surge_w.csv rename to SurgeData/148-surge_w.csv diff --git a/SurgeData/N=1000/148-time_c.csv b/SurgeData/148-time_c.csv similarity index 100% rename from SurgeData/N=1000/148-time_c.csv rename to SurgeData/148-time_c.csv diff --git a/SurgeData/N=1000/148-time_w.csv b/SurgeData/148-time_w.csv similarity index 100% rename from SurgeData/N=1000/148-time_w.csv rename to SurgeData/148-time_w.csv diff --git a/SurgeData/N=1000/148-waterlevel_c.csv b/SurgeData/148-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/148-waterlevel_c.csv rename to SurgeData/148-waterlevel_c.csv diff --git a/SurgeData/N=1000/148-waterlevel_w.csv b/SurgeData/148-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/148-waterlevel_w.csv rename to SurgeData/148-waterlevel_w.csv diff --git a/SurgeData/149-num_storm.csv b/SurgeData/149-num_storm.csv new file mode 100644 index 00000000..ae581b33 --- /dev/null +++ b/SurgeData/149-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,4.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,1.0,8.0 +2025,1.0,6.0 +2026,4.0,4.0 +2027,2.0,4.0 +2028,0.0,3.0 +2029,2.0,2.0 +2030,3.0,6.0 +2031,3.0,8.0 +2032,1.0,4.0 +2033,2.0,4.0 +2034,4.0,2.0 +2035,2.0,3.0 +2036,1.0,3.0 +2037,2.0,7.0 +2038,2.0,4.0 +2039,1.0,6.0 +2040,2.0,5.0 +2041,2.0,2.0 +2042,1.0,5.0 +2043,0.0,1.0 +2044,1.0,5.0 +2045,0.0,8.0 +2046,2.0,4.0 +2047,0.0,4.0 +2048,1.0,4.0 +2049,1.0,2.0 +2050,2.0,4.0 +2051,0.0,4.0 +2052,0.0,6.0 +2053,0.0,3.0 +2054,3.0,5.0 +2055,0.0,5.0 +2056,2.0,2.0 +2057,2.0,2.0 +2058,1.0,2.0 +2059,0.0,4.0 +2060,2.0,1.0 +2061,2.0,5.0 +2062,0.0,5.0 +2063,0.0,3.0 +2064,2.0,7.0 +2065,0.0,7.0 +2066,2.0,3.0 +2067,2.0,5.0 +2068,0.0,5.0 +2069,4.0,6.0 +2070,1.0,1.0 +2071,3.0,3.0 +2072,1.0,10.0 +2073,0.0,3.0 +2074,0.0,6.0 +2075,2.0,7.0 +2076,2.0,4.0 +2077,3.0,7.0 +2078,3.0,4.0 +2079,5.0,1.0 +2080,2.0,3.0 +2081,1.0,2.0 +2082,1.0,5.0 +2083,1.0,8.0 +2084,1.0,6.0 +2085,0.0,8.0 +2086,2.0,4.0 +2087,2.0,7.0 +2088,1.0,5.0 +2089,1.0,3.0 +2090,1.0,3.0 +2091,3.0,3.0 +2092,0.0,2.0 +2093,1.0,3.0 +2094,3.0,2.0 +2095,1.0,4.0 +2096,2.0,6.0 +2097,0.0,2.0 +2098,1.0,3.0 +2099,1.0,5.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/149-peak+year_c.csv b/SurgeData/149-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/149-peak+year_c.csv rename to SurgeData/149-peak+year_c.csv diff --git a/SurgeData/N=1000/149-peak+year_w.csv b/SurgeData/149-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/149-peak+year_w.csv rename to SurgeData/149-peak+year_w.csv diff --git a/SurgeData/N=1000/149-peak_c.csv b/SurgeData/149-peak_c.csv similarity index 100% rename from SurgeData/N=1000/149-peak_c.csv rename to SurgeData/149-peak_c.csv diff --git a/SurgeData/N=1000/149-peak_w.csv b/SurgeData/149-peak_w.csv similarity index 100% rename from SurgeData/N=1000/149-peak_w.csv rename to SurgeData/149-peak_w.csv diff --git a/SurgeData/N=1000/149-surge_c.csv b/SurgeData/149-surge_c.csv similarity index 100% rename from SurgeData/N=1000/149-surge_c.csv rename to SurgeData/149-surge_c.csv diff --git a/SurgeData/N=1000/149-surge_w.csv b/SurgeData/149-surge_w.csv similarity index 100% rename from SurgeData/N=1000/149-surge_w.csv rename to SurgeData/149-surge_w.csv diff --git a/SurgeData/N=1000/149-time_c.csv b/SurgeData/149-time_c.csv similarity index 100% rename from SurgeData/N=1000/149-time_c.csv rename to SurgeData/149-time_c.csv diff --git a/SurgeData/N=1000/149-time_w.csv b/SurgeData/149-time_w.csv similarity index 100% rename from SurgeData/N=1000/149-time_w.csv rename to SurgeData/149-time_w.csv diff --git a/SurgeData/N=1000/149-waterlevel_c.csv b/SurgeData/149-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/149-waterlevel_c.csv rename to SurgeData/149-waterlevel_c.csv diff --git a/SurgeData/N=1000/149-waterlevel_w.csv b/SurgeData/149-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/149-waterlevel_w.csv rename to SurgeData/149-waterlevel_w.csv diff --git a/SurgeData/15-num_storm.csv b/SurgeData/15-num_storm.csv new file mode 100644 index 00000000..97a30ccf --- /dev/null +++ b/SurgeData/15-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,2.0 +2022,3.0,2.0 +2023,0.0,9.0 +2024,2.0,5.0 +2025,0.0,5.0 +2026,1.0,6.0 +2027,3.0,2.0 +2028,3.0,4.0 +2029,1.0,2.0 +2030,1.0,5.0 +2031,2.0,4.0 +2032,0.0,6.0 +2033,2.0,6.0 +2034,1.0,4.0 +2035,2.0,3.0 +2036,4.0,6.0 +2037,1.0,5.0 +2038,2.0,3.0 +2039,1.0,4.0 +2040,1.0,5.0 +2041,3.0,3.0 +2042,0.0,3.0 +2043,2.0,3.0 +2044,1.0,5.0 +2045,5.0,3.0 +2046,1.0,3.0 +2047,3.0,3.0 +2048,0.0,3.0 +2049,1.0,4.0 +2050,3.0,2.0 +2051,0.0,2.0 +2052,1.0,5.0 +2053,1.0,4.0 +2054,0.0,7.0 +2055,3.0,3.0 +2056,3.0,5.0 +2057,0.0,6.0 +2058,0.0,4.0 +2059,1.0,4.0 +2060,2.0,2.0 +2061,1.0,5.0 +2062,2.0,3.0 +2063,1.0,8.0 +2064,0.0,2.0 +2065,3.0,3.0 +2066,3.0,5.0 +2067,1.0,3.0 +2068,1.0,2.0 +2069,1.0,6.0 +2070,4.0,4.0 +2071,1.0,4.0 +2072,3.0,5.0 +2073,3.0,3.0 +2074,2.0,5.0 +2075,1.0,2.0 +2076,3.0,8.0 +2077,5.0,3.0 +2078,2.0,2.0 +2079,2.0,4.0 +2080,1.0,3.0 +2081,2.0,4.0 +2082,2.0,4.0 +2083,2.0,6.0 +2084,2.0,5.0 +2085,1.0,4.0 +2086,3.0,7.0 +2087,1.0,3.0 +2088,0.0,4.0 +2089,0.0,9.0 +2090,1.0,1.0 +2091,1.0,3.0 +2092,2.0,4.0 +2093,1.0,6.0 +2094,3.0,4.0 +2095,0.0,4.0 +2096,1.0,2.0 +2097,2.0,5.0 +2098,1.0,5.0 +2099,0.0,8.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/15-peak+year_c.csv b/SurgeData/15-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/15-peak+year_c.csv rename to SurgeData/15-peak+year_c.csv diff --git a/SurgeData/N=1000/15-peak+year_w.csv b/SurgeData/15-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/15-peak+year_w.csv rename to SurgeData/15-peak+year_w.csv diff --git a/SurgeData/N=1000/15-peak_c.csv b/SurgeData/15-peak_c.csv similarity index 100% rename from SurgeData/N=1000/15-peak_c.csv rename to SurgeData/15-peak_c.csv diff --git a/SurgeData/N=1000/15-peak_w.csv b/SurgeData/15-peak_w.csv similarity index 100% rename from SurgeData/N=1000/15-peak_w.csv rename to SurgeData/15-peak_w.csv diff --git a/SurgeData/N=1000/15-surge_c.csv b/SurgeData/15-surge_c.csv similarity index 100% rename from SurgeData/N=1000/15-surge_c.csv rename to SurgeData/15-surge_c.csv diff --git a/SurgeData/N=1000/15-surge_w.csv b/SurgeData/15-surge_w.csv similarity index 100% rename from SurgeData/N=1000/15-surge_w.csv rename to SurgeData/15-surge_w.csv diff --git a/SurgeData/N=1000/15-time_c.csv b/SurgeData/15-time_c.csv similarity index 100% rename from SurgeData/N=1000/15-time_c.csv rename to SurgeData/15-time_c.csv diff --git a/SurgeData/N=1000/15-time_w.csv b/SurgeData/15-time_w.csv similarity index 100% rename from SurgeData/N=1000/15-time_w.csv rename to SurgeData/15-time_w.csv diff --git a/SurgeData/N=1000/15-waterlevel_c.csv b/SurgeData/15-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/15-waterlevel_c.csv rename to SurgeData/15-waterlevel_c.csv diff --git a/SurgeData/N=1000/15-waterlevel_w.csv b/SurgeData/15-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/15-waterlevel_w.csv rename to SurgeData/15-waterlevel_w.csv diff --git a/SurgeData/150-num_storm.csv b/SurgeData/150-num_storm.csv new file mode 100644 index 00000000..169dc62c --- /dev/null +++ b/SurgeData/150-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,3.0 +2022,4.0,8.0 +2023,2.0,2.0 +2024,2.0,5.0 +2025,1.0,3.0 +2026,2.0,4.0 +2027,2.0,6.0 +2028,0.0,7.0 +2029,0.0,1.0 +2030,2.0,3.0 +2031,3.0,7.0 +2032,2.0,2.0 +2033,1.0,4.0 +2034,0.0,2.0 +2035,4.0,1.0 +2036,1.0,4.0 +2037,1.0,0.0 +2038,2.0,7.0 +2039,2.0,4.0 +2040,3.0,4.0 +2041,1.0,3.0 +2042,4.0,5.0 +2043,3.0,7.0 +2044,0.0,7.0 +2045,1.0,6.0 +2046,2.0,4.0 +2047,1.0,1.0 +2048,2.0,4.0 +2049,1.0,3.0 +2050,2.0,3.0 +2051,0.0,6.0 +2052,1.0,4.0 +2053,0.0,7.0 +2054,4.0,5.0 +2055,1.0,4.0 +2056,0.0,5.0 +2057,1.0,2.0 +2058,0.0,4.0 +2059,0.0,8.0 +2060,2.0,4.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,2.0,3.0 +2064,2.0,2.0 +2065,1.0,3.0 +2066,1.0,3.0 +2067,2.0,2.0 +2068,4.0,5.0 +2069,1.0,5.0 +2070,1.0,6.0 +2071,0.0,4.0 +2072,3.0,1.0 +2073,2.0,3.0 +2074,2.0,1.0 +2075,1.0,5.0 +2076,1.0,3.0 +2077,2.0,5.0 +2078,0.0,5.0 +2079,4.0,4.0 +2080,1.0,6.0 +2081,3.0,3.0 +2082,2.0,5.0 +2083,1.0,2.0 +2084,3.0,5.0 +2085,0.0,2.0 +2086,0.0,5.0 +2087,0.0,2.0 +2088,4.0,7.0 +2089,1.0,2.0 +2090,3.0,3.0 +2091,1.0,5.0 +2092,3.0,1.0 +2093,1.0,3.0 +2094,0.0,2.0 +2095,1.0,3.0 +2096,4.0,3.0 +2097,3.0,5.0 +2098,1.0,3.0 +2099,3.0,10.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/150-peak+year_c.csv b/SurgeData/150-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/150-peak+year_c.csv rename to SurgeData/150-peak+year_c.csv diff --git a/SurgeData/N=1000/150-peak+year_w.csv b/SurgeData/150-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/150-peak+year_w.csv rename to SurgeData/150-peak+year_w.csv diff --git a/SurgeData/N=1000/150-peak_c.csv b/SurgeData/150-peak_c.csv similarity index 100% rename from SurgeData/N=1000/150-peak_c.csv rename to SurgeData/150-peak_c.csv diff --git a/SurgeData/N=1000/150-peak_w.csv b/SurgeData/150-peak_w.csv similarity index 100% rename from SurgeData/N=1000/150-peak_w.csv rename to SurgeData/150-peak_w.csv diff --git a/SurgeData/N=1000/150-surge_c.csv b/SurgeData/150-surge_c.csv similarity index 100% rename from SurgeData/N=1000/150-surge_c.csv rename to SurgeData/150-surge_c.csv diff --git a/SurgeData/N=1000/150-surge_w.csv b/SurgeData/150-surge_w.csv similarity index 100% rename from SurgeData/N=1000/150-surge_w.csv rename to SurgeData/150-surge_w.csv diff --git a/SurgeData/N=1000/150-time_c.csv b/SurgeData/150-time_c.csv similarity index 100% rename from SurgeData/N=1000/150-time_c.csv rename to SurgeData/150-time_c.csv diff --git a/SurgeData/N=1000/150-time_w.csv b/SurgeData/150-time_w.csv similarity index 100% rename from SurgeData/N=1000/150-time_w.csv rename to SurgeData/150-time_w.csv diff --git a/SurgeData/N=1000/150-waterlevel_c.csv b/SurgeData/150-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/150-waterlevel_c.csv rename to SurgeData/150-waterlevel_c.csv diff --git a/SurgeData/N=1000/150-waterlevel_w.csv b/SurgeData/150-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/150-waterlevel_w.csv rename to SurgeData/150-waterlevel_w.csv diff --git a/SurgeData/N=1000/151-peak+year_c.csv b/SurgeData/151-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/151-peak+year_c.csv rename to SurgeData/151-peak+year_c.csv diff --git a/SurgeData/N=1000/151-peak+year_w.csv b/SurgeData/151-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/151-peak+year_w.csv rename to SurgeData/151-peak+year_w.csv diff --git a/SurgeData/N=1000/151-peak_c.csv b/SurgeData/151-peak_c.csv similarity index 100% rename from SurgeData/N=1000/151-peak_c.csv rename to SurgeData/151-peak_c.csv diff --git a/SurgeData/N=1000/151-peak_w.csv b/SurgeData/151-peak_w.csv similarity index 100% rename from SurgeData/N=1000/151-peak_w.csv rename to SurgeData/151-peak_w.csv diff --git a/SurgeData/N=1000/151-surge_c.csv b/SurgeData/151-surge_c.csv similarity index 100% rename from SurgeData/N=1000/151-surge_c.csv rename to SurgeData/151-surge_c.csv diff --git a/SurgeData/N=1000/151-surge_w.csv b/SurgeData/151-surge_w.csv similarity index 100% rename from SurgeData/N=1000/151-surge_w.csv rename to SurgeData/151-surge_w.csv diff --git a/SurgeData/N=1000/151-time_c.csv b/SurgeData/151-time_c.csv similarity index 100% rename from SurgeData/N=1000/151-time_c.csv rename to SurgeData/151-time_c.csv diff --git a/SurgeData/N=1000/151-time_w.csv b/SurgeData/151-time_w.csv similarity index 100% rename from SurgeData/N=1000/151-time_w.csv rename to SurgeData/151-time_w.csv diff --git a/SurgeData/N=1000/151-waterlevel_c.csv b/SurgeData/151-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/151-waterlevel_c.csv rename to SurgeData/151-waterlevel_c.csv diff --git a/SurgeData/N=1000/151-waterlevel_w.csv b/SurgeData/151-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/151-waterlevel_w.csv rename to SurgeData/151-waterlevel_w.csv diff --git a/SurgeData/152-num_storm.csv b/SurgeData/152-num_storm.csv new file mode 100644 index 00000000..d4de36f2 --- /dev/null +++ b/SurgeData/152-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,3.0 +2022,1.0,3.0 +2023,1.0,2.0 +2024,3.0,5.0 +2025,1.0,2.0 +2026,1.0,5.0 +2027,1.0,0.0 +2028,1.0,5.0 +2029,2.0,2.0 +2030,0.0,3.0 +2031,3.0,1.0 +2032,2.0,4.0 +2033,1.0,5.0 +2034,0.0,4.0 +2035,1.0,3.0 +2036,0.0,7.0 +2037,2.0,2.0 +2038,1.0,3.0 +2039,1.0,5.0 +2040,2.0,4.0 +2041,4.0,3.0 +2042,5.0,4.0 +2043,2.0,7.0 +2044,2.0,5.0 +2045,3.0,5.0 +2046,1.0,8.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,3.0,1.0 +2050,1.0,5.0 +2051,1.0,2.0 +2052,2.0,6.0 +2053,3.0,5.0 +2054,2.0,1.0 +2055,2.0,3.0 +2056,1.0,5.0 +2057,0.0,3.0 +2058,2.0,2.0 +2059,2.0,6.0 +2060,3.0,1.0 +2061,2.0,2.0 +2062,2.0,2.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,2.0,5.0 +2066,2.0,5.0 +2067,1.0,2.0 +2068,1.0,2.0 +2069,1.0,7.0 +2070,2.0,2.0 +2071,0.0,3.0 +2072,2.0,1.0 +2073,0.0,3.0 +2074,2.0,2.0 +2075,4.0,4.0 +2076,1.0,3.0 +2077,0.0,2.0 +2078,1.0,4.0 +2079,2.0,4.0 +2080,7.0,5.0 +2081,2.0,5.0 +2082,1.0,3.0 +2083,1.0,6.0 +2084,0.0,4.0 +2085,2.0,7.0 +2086,4.0,5.0 +2087,1.0,5.0 +2088,4.0,3.0 +2089,4.0,3.0 +2090,2.0,3.0 +2091,0.0,4.0 +2092,2.0,3.0 +2093,5.0,6.0 +2094,2.0,6.0 +2095,3.0,10.0 +2096,0.0,2.0 +2097,1.0,5.0 +2098,1.0,8.0 +2099,1.0,4.0 +2100,4.0,5.0 diff --git a/SurgeData/N=1000/152-peak+year_c.csv b/SurgeData/152-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/152-peak+year_c.csv rename to SurgeData/152-peak+year_c.csv diff --git a/SurgeData/N=1000/152-peak+year_w.csv b/SurgeData/152-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/152-peak+year_w.csv rename to SurgeData/152-peak+year_w.csv diff --git a/SurgeData/N=1000/152-peak_c.csv b/SurgeData/152-peak_c.csv similarity index 100% rename from SurgeData/N=1000/152-peak_c.csv rename to SurgeData/152-peak_c.csv diff --git a/SurgeData/N=1000/152-peak_w.csv b/SurgeData/152-peak_w.csv similarity index 100% rename from SurgeData/N=1000/152-peak_w.csv rename to SurgeData/152-peak_w.csv diff --git a/SurgeData/N=1000/152-surge_c.csv b/SurgeData/152-surge_c.csv similarity index 100% rename from SurgeData/N=1000/152-surge_c.csv rename to SurgeData/152-surge_c.csv diff --git a/SurgeData/N=1000/152-surge_w.csv b/SurgeData/152-surge_w.csv similarity index 100% rename from SurgeData/N=1000/152-surge_w.csv rename to SurgeData/152-surge_w.csv diff --git a/SurgeData/N=1000/152-time_c.csv b/SurgeData/152-time_c.csv similarity index 100% rename from SurgeData/N=1000/152-time_c.csv rename to SurgeData/152-time_c.csv diff --git a/SurgeData/N=1000/152-time_w.csv b/SurgeData/152-time_w.csv similarity index 100% rename from SurgeData/N=1000/152-time_w.csv rename to SurgeData/152-time_w.csv diff --git a/SurgeData/N=1000/152-waterlevel_c.csv b/SurgeData/152-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/152-waterlevel_c.csv rename to SurgeData/152-waterlevel_c.csv diff --git a/SurgeData/N=1000/152-waterlevel_w.csv b/SurgeData/152-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/152-waterlevel_w.csv rename to SurgeData/152-waterlevel_w.csv diff --git a/SurgeData/N=1000/153-peak+year_c.csv b/SurgeData/153-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/153-peak+year_c.csv rename to SurgeData/153-peak+year_c.csv diff --git a/SurgeData/N=1000/153-peak+year_w.csv b/SurgeData/153-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/153-peak+year_w.csv rename to SurgeData/153-peak+year_w.csv diff --git a/SurgeData/N=1000/153-peak_c.csv b/SurgeData/153-peak_c.csv similarity index 100% rename from SurgeData/N=1000/153-peak_c.csv rename to SurgeData/153-peak_c.csv diff --git a/SurgeData/N=1000/153-peak_w.csv b/SurgeData/153-peak_w.csv similarity index 100% rename from SurgeData/N=1000/153-peak_w.csv rename to SurgeData/153-peak_w.csv diff --git a/SurgeData/N=1000/153-surge_c.csv b/SurgeData/153-surge_c.csv similarity index 100% rename from SurgeData/N=1000/153-surge_c.csv rename to SurgeData/153-surge_c.csv diff --git a/SurgeData/N=1000/153-surge_w.csv b/SurgeData/153-surge_w.csv similarity index 100% rename from SurgeData/N=1000/153-surge_w.csv rename to SurgeData/153-surge_w.csv diff --git a/SurgeData/N=1000/153-time_c.csv b/SurgeData/153-time_c.csv similarity index 100% rename from SurgeData/N=1000/153-time_c.csv rename to SurgeData/153-time_c.csv diff --git a/SurgeData/N=1000/153-time_w.csv b/SurgeData/153-time_w.csv similarity index 100% rename from SurgeData/N=1000/153-time_w.csv rename to SurgeData/153-time_w.csv diff --git a/SurgeData/N=1000/153-waterlevel_c.csv b/SurgeData/153-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/153-waterlevel_c.csv rename to SurgeData/153-waterlevel_c.csv diff --git a/SurgeData/N=1000/153-waterlevel_w.csv b/SurgeData/153-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/153-waterlevel_w.csv rename to SurgeData/153-waterlevel_w.csv diff --git a/SurgeData/154-num_storm.csv b/SurgeData/154-num_storm.csv new file mode 100644 index 00000000..05cc665e --- /dev/null +++ b/SurgeData/154-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,4.0 +2022,1.0,3.0 +2023,1.0,5.0 +2024,0.0,2.0 +2025,3.0,4.0 +2026,1.0,5.0 +2027,1.0,2.0 +2028,3.0,6.0 +2029,2.0,2.0 +2030,3.0,5.0 +2031,0.0,1.0 +2032,3.0,8.0 +2033,4.0,5.0 +2034,2.0,4.0 +2035,2.0,6.0 +2036,2.0,3.0 +2037,0.0,3.0 +2038,2.0,5.0 +2039,2.0,7.0 +2040,1.0,8.0 +2041,4.0,4.0 +2042,5.0,2.0 +2043,0.0,2.0 +2044,0.0,2.0 +2045,3.0,4.0 +2046,1.0,2.0 +2047,0.0,3.0 +2048,0.0,2.0 +2049,2.0,7.0 +2050,2.0,3.0 +2051,2.0,2.0 +2052,3.0,3.0 +2053,2.0,2.0 +2054,1.0,5.0 +2055,1.0,1.0 +2056,0.0,4.0 +2057,2.0,4.0 +2058,3.0,1.0 +2059,3.0,2.0 +2060,0.0,3.0 +2061,4.0,3.0 +2062,3.0,8.0 +2063,1.0,8.0 +2064,0.0,6.0 +2065,2.0,8.0 +2066,2.0,2.0 +2067,0.0,1.0 +2068,2.0,8.0 +2069,0.0,3.0 +2070,1.0,2.0 +2071,1.0,2.0 +2072,1.0,3.0 +2073,0.0,5.0 +2074,0.0,6.0 +2075,0.0,6.0 +2076,3.0,4.0 +2077,1.0,6.0 +2078,3.0,2.0 +2079,2.0,6.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,0.0,1.0 +2083,3.0,5.0 +2084,2.0,3.0 +2085,2.0,5.0 +2086,0.0,3.0 +2087,0.0,4.0 +2088,0.0,1.0 +2089,2.0,4.0 +2090,2.0,0.0 +2091,1.0,3.0 +2092,1.0,8.0 +2093,1.0,3.0 +2094,1.0,3.0 +2095,1.0,1.0 +2096,1.0,5.0 +2097,4.0,5.0 +2098,1.0,4.0 +2099,1.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/154-peak+year_c.csv b/SurgeData/154-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/154-peak+year_c.csv rename to SurgeData/154-peak+year_c.csv diff --git a/SurgeData/N=1000/154-peak+year_w.csv b/SurgeData/154-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/154-peak+year_w.csv rename to SurgeData/154-peak+year_w.csv diff --git a/SurgeData/N=1000/154-peak_c.csv b/SurgeData/154-peak_c.csv similarity index 100% rename from SurgeData/N=1000/154-peak_c.csv rename to SurgeData/154-peak_c.csv diff --git a/SurgeData/N=1000/154-peak_w.csv b/SurgeData/154-peak_w.csv similarity index 100% rename from SurgeData/N=1000/154-peak_w.csv rename to SurgeData/154-peak_w.csv diff --git a/SurgeData/N=1000/154-surge_c.csv b/SurgeData/154-surge_c.csv similarity index 100% rename from SurgeData/N=1000/154-surge_c.csv rename to SurgeData/154-surge_c.csv diff --git a/SurgeData/N=1000/154-surge_w.csv b/SurgeData/154-surge_w.csv similarity index 100% rename from SurgeData/N=1000/154-surge_w.csv rename to SurgeData/154-surge_w.csv diff --git a/SurgeData/N=1000/154-time_c.csv b/SurgeData/154-time_c.csv similarity index 100% rename from SurgeData/N=1000/154-time_c.csv rename to SurgeData/154-time_c.csv diff --git a/SurgeData/N=1000/154-time_w.csv b/SurgeData/154-time_w.csv similarity index 100% rename from SurgeData/N=1000/154-time_w.csv rename to SurgeData/154-time_w.csv diff --git a/SurgeData/N=1000/154-waterlevel_c.csv b/SurgeData/154-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/154-waterlevel_c.csv rename to SurgeData/154-waterlevel_c.csv diff --git a/SurgeData/N=1000/154-waterlevel_w.csv b/SurgeData/154-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/154-waterlevel_w.csv rename to SurgeData/154-waterlevel_w.csv diff --git a/SurgeData/155-num_storm.csv b/SurgeData/155-num_storm.csv new file mode 100644 index 00000000..fd6afc76 --- /dev/null +++ b/SurgeData/155-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,0.0,2.0 +2022,0.0,8.0 +2023,1.0,2.0 +2024,4.0,4.0 +2025,2.0,2.0 +2026,1.0,5.0 +2027,1.0,6.0 +2028,1.0,3.0 +2029,0.0,1.0 +2030,1.0,2.0 +2031,2.0,2.0 +2032,0.0,3.0 +2033,1.0,9.0 +2034,1.0,5.0 +2035,3.0,2.0 +2036,1.0,2.0 +2037,0.0,4.0 +2038,2.0,6.0 +2039,4.0,2.0 +2040,3.0,3.0 +2041,1.0,6.0 +2042,2.0,2.0 +2043,2.0,4.0 +2044,3.0,2.0 +2045,1.0,2.0 +2046,2.0,3.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,2.0,3.0 +2050,1.0,3.0 +2051,0.0,2.0 +2052,1.0,4.0 +2053,0.0,6.0 +2054,1.0,8.0 +2055,1.0,5.0 +2056,2.0,7.0 +2057,1.0,0.0 +2058,2.0,3.0 +2059,2.0,2.0 +2060,1.0,3.0 +2061,4.0,3.0 +2062,1.0,4.0 +2063,1.0,6.0 +2064,1.0,4.0 +2065,2.0,2.0 +2066,3.0,3.0 +2067,4.0,4.0 +2068,2.0,2.0 +2069,0.0,4.0 +2070,3.0,1.0 +2071,1.0,6.0 +2072,2.0,2.0 +2073,2.0,7.0 +2074,1.0,2.0 +2075,1.0,5.0 +2076,2.0,4.0 +2077,2.0,5.0 +2078,0.0,7.0 +2079,0.0,3.0 +2080,3.0,8.0 +2081,2.0,3.0 +2082,1.0,6.0 +2083,0.0,4.0 +2084,3.0,7.0 +2085,3.0,6.0 +2086,0.0,2.0 +2087,1.0,1.0 +2088,2.0,4.0 +2089,2.0,1.0 +2090,3.0,4.0 +2091,2.0,6.0 +2092,1.0,4.0 +2093,1.0,2.0 +2094,1.0,3.0 +2095,2.0,9.0 +2096,1.0,6.0 +2097,1.0,3.0 +2098,0.0,2.0 +2099,3.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/155-peak+year_c.csv b/SurgeData/155-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/155-peak+year_c.csv rename to SurgeData/155-peak+year_c.csv diff --git a/SurgeData/N=1000/155-peak+year_w.csv b/SurgeData/155-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/155-peak+year_w.csv rename to SurgeData/155-peak+year_w.csv diff --git a/SurgeData/N=1000/155-peak_c.csv b/SurgeData/155-peak_c.csv similarity index 100% rename from SurgeData/N=1000/155-peak_c.csv rename to SurgeData/155-peak_c.csv diff --git a/SurgeData/N=1000/155-peak_w.csv b/SurgeData/155-peak_w.csv similarity index 100% rename from SurgeData/N=1000/155-peak_w.csv rename to SurgeData/155-peak_w.csv diff --git a/SurgeData/N=1000/155-surge_c.csv b/SurgeData/155-surge_c.csv similarity index 100% rename from SurgeData/N=1000/155-surge_c.csv rename to SurgeData/155-surge_c.csv diff --git a/SurgeData/N=1000/155-surge_w.csv b/SurgeData/155-surge_w.csv similarity index 100% rename from SurgeData/N=1000/155-surge_w.csv rename to SurgeData/155-surge_w.csv diff --git a/SurgeData/N=1000/155-time_c.csv b/SurgeData/155-time_c.csv similarity index 100% rename from SurgeData/N=1000/155-time_c.csv rename to SurgeData/155-time_c.csv diff --git a/SurgeData/N=1000/155-time_w.csv b/SurgeData/155-time_w.csv similarity index 100% rename from SurgeData/N=1000/155-time_w.csv rename to SurgeData/155-time_w.csv diff --git a/SurgeData/N=1000/155-waterlevel_c.csv b/SurgeData/155-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/155-waterlevel_c.csv rename to SurgeData/155-waterlevel_c.csv diff --git a/SurgeData/N=1000/155-waterlevel_w.csv b/SurgeData/155-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/155-waterlevel_w.csv rename to SurgeData/155-waterlevel_w.csv diff --git a/SurgeData/156-num_storm.csv b/SurgeData/156-num_storm.csv new file mode 100644 index 00000000..156dcf6f --- /dev/null +++ b/SurgeData/156-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,3.0,9.0 +2022,1.0,3.0 +2023,1.0,4.0 +2024,1.0,5.0 +2025,0.0,5.0 +2026,1.0,5.0 +2027,2.0,1.0 +2028,2.0,2.0 +2029,3.0,6.0 +2030,0.0,3.0 +2031,1.0,3.0 +2032,2.0,3.0 +2033,3.0,1.0 +2034,0.0,2.0 +2035,1.0,3.0 +2036,2.0,5.0 +2037,1.0,2.0 +2038,2.0,1.0 +2039,1.0,7.0 +2040,1.0,6.0 +2041,2.0,5.0 +2042,0.0,6.0 +2043,2.0,3.0 +2044,1.0,3.0 +2045,1.0,5.0 +2046,4.0,6.0 +2047,2.0,4.0 +2048,2.0,4.0 +2049,2.0,3.0 +2050,2.0,3.0 +2051,2.0,2.0 +2052,2.0,4.0 +2053,1.0,0.0 +2054,1.0,4.0 +2055,3.0,1.0 +2056,1.0,4.0 +2057,2.0,6.0 +2058,2.0,4.0 +2059,4.0,4.0 +2060,0.0,3.0 +2061,3.0,4.0 +2062,3.0,5.0 +2063,2.0,4.0 +2064,1.0,5.0 +2065,3.0,2.0 +2066,5.0,4.0 +2067,2.0,3.0 +2068,1.0,3.0 +2069,0.0,2.0 +2070,2.0,3.0 +2071,2.0,3.0 +2072,1.0,2.0 +2073,2.0,4.0 +2074,1.0,4.0 +2075,4.0,7.0 +2076,2.0,6.0 +2077,4.0,9.0 +2078,3.0,5.0 +2079,5.0,7.0 +2080,3.0,2.0 +2081,3.0,1.0 +2082,2.0,5.0 +2083,1.0,4.0 +2084,3.0,4.0 +2085,1.0,2.0 +2086,1.0,7.0 +2087,1.0,5.0 +2088,0.0,6.0 +2089,0.0,7.0 +2090,2.0,5.0 +2091,2.0,4.0 +2092,2.0,4.0 +2093,5.0,4.0 +2094,0.0,2.0 +2095,0.0,7.0 +2096,0.0,9.0 +2097,1.0,3.0 +2098,1.0,2.0 +2099,0.0,1.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/156-peak+year_c.csv b/SurgeData/156-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/156-peak+year_c.csv rename to SurgeData/156-peak+year_c.csv diff --git a/SurgeData/N=1000/156-peak+year_w.csv b/SurgeData/156-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/156-peak+year_w.csv rename to SurgeData/156-peak+year_w.csv diff --git a/SurgeData/N=1000/156-peak_c.csv b/SurgeData/156-peak_c.csv similarity index 100% rename from SurgeData/N=1000/156-peak_c.csv rename to SurgeData/156-peak_c.csv diff --git a/SurgeData/N=1000/156-peak_w.csv b/SurgeData/156-peak_w.csv similarity index 100% rename from SurgeData/N=1000/156-peak_w.csv rename to SurgeData/156-peak_w.csv diff --git a/SurgeData/N=1000/156-surge_c.csv b/SurgeData/156-surge_c.csv similarity index 100% rename from SurgeData/N=1000/156-surge_c.csv rename to SurgeData/156-surge_c.csv diff --git a/SurgeData/N=1000/156-surge_w.csv b/SurgeData/156-surge_w.csv similarity index 100% rename from SurgeData/N=1000/156-surge_w.csv rename to SurgeData/156-surge_w.csv diff --git a/SurgeData/N=1000/156-time_c.csv b/SurgeData/156-time_c.csv similarity index 100% rename from SurgeData/N=1000/156-time_c.csv rename to SurgeData/156-time_c.csv diff --git a/SurgeData/N=1000/156-time_w.csv b/SurgeData/156-time_w.csv similarity index 100% rename from SurgeData/N=1000/156-time_w.csv rename to SurgeData/156-time_w.csv diff --git a/SurgeData/N=1000/156-waterlevel_c.csv b/SurgeData/156-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/156-waterlevel_c.csv rename to SurgeData/156-waterlevel_c.csv diff --git a/SurgeData/N=1000/156-waterlevel_w.csv b/SurgeData/156-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/156-waterlevel_w.csv rename to SurgeData/156-waterlevel_w.csv diff --git a/SurgeData/157-num_storm.csv b/SurgeData/157-num_storm.csv new file mode 100644 index 00000000..1bb5ab4b --- /dev/null +++ b/SurgeData/157-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,2.0 +2022,1.0,2.0 +2023,1.0,1.0 +2024,2.0,4.0 +2025,0.0,1.0 +2026,2.0,5.0 +2027,0.0,4.0 +2028,3.0,4.0 +2029,2.0,4.0 +2030,2.0,3.0 +2031,5.0,3.0 +2032,0.0,3.0 +2033,2.0,1.0 +2034,2.0,3.0 +2035,0.0,7.0 +2036,3.0,6.0 +2037,1.0,1.0 +2038,1.0,7.0 +2039,3.0,3.0 +2040,1.0,3.0 +2041,0.0,4.0 +2042,3.0,3.0 +2043,2.0,5.0 +2044,1.0,5.0 +2045,3.0,4.0 +2046,3.0,2.0 +2047,2.0,3.0 +2048,1.0,4.0 +2049,0.0,2.0 +2050,3.0,2.0 +2051,3.0,6.0 +2052,2.0,4.0 +2053,1.0,0.0 +2054,1.0,4.0 +2055,2.0,2.0 +2056,2.0,4.0 +2057,1.0,1.0 +2058,2.0,5.0 +2059,2.0,4.0 +2060,1.0,4.0 +2061,0.0,5.0 +2062,3.0,6.0 +2063,1.0,7.0 +2064,2.0,4.0 +2065,1.0,5.0 +2066,1.0,3.0 +2067,1.0,3.0 +2068,3.0,4.0 +2069,2.0,0.0 +2070,4.0,10.0 +2071,0.0,2.0 +2072,1.0,1.0 +2073,0.0,5.0 +2074,2.0,5.0 +2075,3.0,2.0 +2076,2.0,6.0 +2077,0.0,3.0 +2078,2.0,12.0 +2079,1.0,0.0 +2080,1.0,5.0 +2081,1.0,5.0 +2082,2.0,4.0 +2083,3.0,5.0 +2084,2.0,1.0 +2085,0.0,4.0 +2086,4.0,5.0 +2087,2.0,5.0 +2088,1.0,2.0 +2089,2.0,3.0 +2090,3.0,4.0 +2091,1.0,4.0 +2092,3.0,3.0 +2093,2.0,1.0 +2094,2.0,5.0 +2095,2.0,1.0 +2096,5.0,2.0 +2097,2.0,5.0 +2098,0.0,6.0 +2099,5.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/157-peak+year_c.csv b/SurgeData/157-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/157-peak+year_c.csv rename to SurgeData/157-peak+year_c.csv diff --git a/SurgeData/N=1000/157-peak+year_w.csv b/SurgeData/157-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/157-peak+year_w.csv rename to SurgeData/157-peak+year_w.csv diff --git a/SurgeData/N=1000/157-peak_c.csv b/SurgeData/157-peak_c.csv similarity index 100% rename from SurgeData/N=1000/157-peak_c.csv rename to SurgeData/157-peak_c.csv diff --git a/SurgeData/N=1000/157-peak_w.csv b/SurgeData/157-peak_w.csv similarity index 100% rename from SurgeData/N=1000/157-peak_w.csv rename to SurgeData/157-peak_w.csv diff --git a/SurgeData/N=1000/157-surge_c.csv b/SurgeData/157-surge_c.csv similarity index 100% rename from SurgeData/N=1000/157-surge_c.csv rename to SurgeData/157-surge_c.csv diff --git a/SurgeData/N=1000/157-surge_w.csv b/SurgeData/157-surge_w.csv similarity index 100% rename from SurgeData/N=1000/157-surge_w.csv rename to SurgeData/157-surge_w.csv diff --git a/SurgeData/N=1000/157-time_c.csv b/SurgeData/157-time_c.csv similarity index 100% rename from SurgeData/N=1000/157-time_c.csv rename to SurgeData/157-time_c.csv diff --git a/SurgeData/N=1000/157-time_w.csv b/SurgeData/157-time_w.csv similarity index 100% rename from SurgeData/N=1000/157-time_w.csv rename to SurgeData/157-time_w.csv diff --git a/SurgeData/N=1000/157-waterlevel_c.csv b/SurgeData/157-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/157-waterlevel_c.csv rename to SurgeData/157-waterlevel_c.csv diff --git a/SurgeData/N=1000/157-waterlevel_w.csv b/SurgeData/157-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/157-waterlevel_w.csv rename to SurgeData/157-waterlevel_w.csv diff --git a/SurgeData/N=1000/158-peak+year_c.csv b/SurgeData/158-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/158-peak+year_c.csv rename to SurgeData/158-peak+year_c.csv diff --git a/SurgeData/N=1000/158-peak+year_w.csv b/SurgeData/158-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/158-peak+year_w.csv rename to SurgeData/158-peak+year_w.csv diff --git a/SurgeData/N=1000/158-peak_c.csv b/SurgeData/158-peak_c.csv similarity index 100% rename from SurgeData/N=1000/158-peak_c.csv rename to SurgeData/158-peak_c.csv diff --git a/SurgeData/N=1000/158-peak_w.csv b/SurgeData/158-peak_w.csv similarity index 100% rename from SurgeData/N=1000/158-peak_w.csv rename to SurgeData/158-peak_w.csv diff --git a/SurgeData/N=1000/158-surge_c.csv b/SurgeData/158-surge_c.csv similarity index 100% rename from SurgeData/N=1000/158-surge_c.csv rename to SurgeData/158-surge_c.csv diff --git a/SurgeData/N=1000/158-surge_w.csv b/SurgeData/158-surge_w.csv similarity index 100% rename from SurgeData/N=1000/158-surge_w.csv rename to SurgeData/158-surge_w.csv diff --git a/SurgeData/N=1000/158-time_c.csv b/SurgeData/158-time_c.csv similarity index 100% rename from SurgeData/N=1000/158-time_c.csv rename to SurgeData/158-time_c.csv diff --git a/SurgeData/N=1000/158-time_w.csv b/SurgeData/158-time_w.csv similarity index 100% rename from SurgeData/N=1000/158-time_w.csv rename to SurgeData/158-time_w.csv diff --git a/SurgeData/N=1000/158-waterlevel_c.csv b/SurgeData/158-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/158-waterlevel_c.csv rename to SurgeData/158-waterlevel_c.csv diff --git a/SurgeData/N=1000/158-waterlevel_w.csv b/SurgeData/158-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/158-waterlevel_w.csv rename to SurgeData/158-waterlevel_w.csv diff --git a/SurgeData/N=1000/159-peak+year_c.csv b/SurgeData/159-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/159-peak+year_c.csv rename to SurgeData/159-peak+year_c.csv diff --git a/SurgeData/N=1000/159-peak+year_w.csv b/SurgeData/159-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/159-peak+year_w.csv rename to SurgeData/159-peak+year_w.csv diff --git a/SurgeData/N=1000/159-peak_c.csv b/SurgeData/159-peak_c.csv similarity index 100% rename from SurgeData/N=1000/159-peak_c.csv rename to SurgeData/159-peak_c.csv diff --git a/SurgeData/N=1000/159-peak_w.csv b/SurgeData/159-peak_w.csv similarity index 100% rename from SurgeData/N=1000/159-peak_w.csv rename to SurgeData/159-peak_w.csv diff --git a/SurgeData/N=1000/159-surge_c.csv b/SurgeData/159-surge_c.csv similarity index 100% rename from SurgeData/N=1000/159-surge_c.csv rename to SurgeData/159-surge_c.csv diff --git a/SurgeData/N=1000/159-surge_w.csv b/SurgeData/159-surge_w.csv similarity index 100% rename from SurgeData/N=1000/159-surge_w.csv rename to SurgeData/159-surge_w.csv diff --git a/SurgeData/N=1000/159-time_c.csv b/SurgeData/159-time_c.csv similarity index 100% rename from SurgeData/N=1000/159-time_c.csv rename to SurgeData/159-time_c.csv diff --git a/SurgeData/N=1000/159-time_w.csv b/SurgeData/159-time_w.csv similarity index 100% rename from SurgeData/N=1000/159-time_w.csv rename to SurgeData/159-time_w.csv diff --git a/SurgeData/N=1000/159-waterlevel_c.csv b/SurgeData/159-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/159-waterlevel_c.csv rename to SurgeData/159-waterlevel_c.csv diff --git a/SurgeData/N=1000/159-waterlevel_w.csv b/SurgeData/159-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/159-waterlevel_w.csv rename to SurgeData/159-waterlevel_w.csv diff --git a/SurgeData/16-num_storm.csv b/SurgeData/16-num_storm.csv new file mode 100644 index 00000000..f167b916 --- /dev/null +++ b/SurgeData/16-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,4.0 +2022,2.0,8.0 +2023,2.0,4.0 +2024,1.0,7.0 +2025,2.0,4.0 +2026,0.0,8.0 +2027,2.0,1.0 +2028,1.0,6.0 +2029,1.0,2.0 +2030,1.0,1.0 +2031,2.0,3.0 +2032,0.0,3.0 +2033,1.0,4.0 +2034,0.0,6.0 +2035,3.0,3.0 +2036,0.0,3.0 +2037,1.0,6.0 +2038,1.0,1.0 +2039,1.0,4.0 +2040,3.0,8.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,3.0,6.0 +2044,4.0,4.0 +2045,0.0,6.0 +2046,2.0,3.0 +2047,1.0,4.0 +2048,1.0,4.0 +2049,1.0,4.0 +2050,2.0,5.0 +2051,1.0,4.0 +2052,1.0,11.0 +2053,3.0,5.0 +2054,0.0,5.0 +2055,1.0,4.0 +2056,2.0,5.0 +2057,3.0,5.0 +2058,1.0,3.0 +2059,5.0,4.0 +2060,4.0,6.0 +2061,0.0,7.0 +2062,1.0,9.0 +2063,4.0,1.0 +2064,1.0,2.0 +2065,1.0,6.0 +2066,1.0,5.0 +2067,2.0,9.0 +2068,2.0,6.0 +2069,2.0,5.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,2.0,5.0 +2073,1.0,2.0 +2074,2.0,8.0 +2075,0.0,4.0 +2076,3.0,5.0 +2077,1.0,4.0 +2078,2.0,3.0 +2079,2.0,4.0 +2080,3.0,1.0 +2081,3.0,5.0 +2082,0.0,5.0 +2083,2.0,2.0 +2084,0.0,5.0 +2085,0.0,6.0 +2086,3.0,4.0 +2087,2.0,3.0 +2088,1.0,5.0 +2089,1.0,3.0 +2090,3.0,7.0 +2091,1.0,3.0 +2092,2.0,4.0 +2093,1.0,2.0 +2094,1.0,4.0 +2095,1.0,5.0 +2096,3.0,4.0 +2097,0.0,1.0 +2098,4.0,4.0 +2099,1.0,5.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/16-peak+year_c.csv b/SurgeData/16-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/16-peak+year_c.csv rename to SurgeData/16-peak+year_c.csv diff --git a/SurgeData/N=1000/16-peak+year_w.csv b/SurgeData/16-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/16-peak+year_w.csv rename to SurgeData/16-peak+year_w.csv diff --git a/SurgeData/N=1000/16-peak_c.csv b/SurgeData/16-peak_c.csv similarity index 100% rename from SurgeData/N=1000/16-peak_c.csv rename to SurgeData/16-peak_c.csv diff --git a/SurgeData/N=1000/16-peak_w.csv b/SurgeData/16-peak_w.csv similarity index 100% rename from SurgeData/N=1000/16-peak_w.csv rename to SurgeData/16-peak_w.csv diff --git a/SurgeData/N=1000/16-surge_c.csv b/SurgeData/16-surge_c.csv similarity index 100% rename from SurgeData/N=1000/16-surge_c.csv rename to SurgeData/16-surge_c.csv diff --git a/SurgeData/N=1000/16-surge_w.csv b/SurgeData/16-surge_w.csv similarity index 100% rename from SurgeData/N=1000/16-surge_w.csv rename to SurgeData/16-surge_w.csv diff --git a/SurgeData/N=1000/16-time_c.csv b/SurgeData/16-time_c.csv similarity index 100% rename from SurgeData/N=1000/16-time_c.csv rename to SurgeData/16-time_c.csv diff --git a/SurgeData/N=1000/16-time_w.csv b/SurgeData/16-time_w.csv similarity index 100% rename from SurgeData/N=1000/16-time_w.csv rename to SurgeData/16-time_w.csv diff --git a/SurgeData/N=1000/16-waterlevel_c.csv b/SurgeData/16-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/16-waterlevel_c.csv rename to SurgeData/16-waterlevel_c.csv diff --git a/SurgeData/N=1000/16-waterlevel_w.csv b/SurgeData/16-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/16-waterlevel_w.csv rename to SurgeData/16-waterlevel_w.csv diff --git a/SurgeData/160-num_storm.csv b/SurgeData/160-num_storm.csv new file mode 100644 index 00000000..355ad134 --- /dev/null +++ b/SurgeData/160-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,3.0 +2022,6.0,8.0 +2023,0.0,3.0 +2024,3.0,4.0 +2025,1.0,4.0 +2026,1.0,4.0 +2027,2.0,2.0 +2028,1.0,6.0 +2029,2.0,3.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,1.0,4.0 +2033,0.0,5.0 +2034,1.0,4.0 +2035,1.0,4.0 +2036,1.0,6.0 +2037,2.0,3.0 +2038,1.0,2.0 +2039,0.0,6.0 +2040,2.0,4.0 +2041,0.0,5.0 +2042,1.0,4.0 +2043,1.0,5.0 +2044,0.0,2.0 +2045,1.0,2.0 +2046,2.0,4.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,1.0,7.0 +2050,3.0,3.0 +2051,1.0,4.0 +2052,4.0,3.0 +2053,1.0,5.0 +2054,4.0,4.0 +2055,2.0,1.0 +2056,3.0,3.0 +2057,1.0,6.0 +2058,2.0,5.0 +2059,2.0,9.0 +2060,1.0,5.0 +2061,2.0,2.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,2.0,5.0 +2065,3.0,7.0 +2066,0.0,4.0 +2067,0.0,2.0 +2068,5.0,2.0 +2069,3.0,2.0 +2070,2.0,3.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,3.0,7.0 +2074,1.0,7.0 +2075,3.0,7.0 +2076,2.0,6.0 +2077,2.0,6.0 +2078,2.0,5.0 +2079,2.0,4.0 +2080,3.0,4.0 +2081,3.0,5.0 +2082,0.0,2.0 +2083,2.0,3.0 +2084,3.0,6.0 +2085,0.0,5.0 +2086,0.0,5.0 +2087,2.0,5.0 +2088,1.0,1.0 +2089,0.0,3.0 +2090,2.0,9.0 +2091,1.0,5.0 +2092,4.0,5.0 +2093,0.0,3.0 +2094,1.0,3.0 +2095,1.0,4.0 +2096,2.0,7.0 +2097,3.0,1.0 +2098,1.0,2.0 +2099,2.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/160-peak+year_c.csv b/SurgeData/160-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/160-peak+year_c.csv rename to SurgeData/160-peak+year_c.csv diff --git a/SurgeData/N=1000/160-peak+year_w.csv b/SurgeData/160-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/160-peak+year_w.csv rename to SurgeData/160-peak+year_w.csv diff --git a/SurgeData/N=1000/160-peak_c.csv b/SurgeData/160-peak_c.csv similarity index 100% rename from SurgeData/N=1000/160-peak_c.csv rename to SurgeData/160-peak_c.csv diff --git a/SurgeData/N=1000/160-peak_w.csv b/SurgeData/160-peak_w.csv similarity index 100% rename from SurgeData/N=1000/160-peak_w.csv rename to SurgeData/160-peak_w.csv diff --git a/SurgeData/N=1000/160-surge_c.csv b/SurgeData/160-surge_c.csv similarity index 100% rename from SurgeData/N=1000/160-surge_c.csv rename to SurgeData/160-surge_c.csv diff --git a/SurgeData/N=1000/160-surge_w.csv b/SurgeData/160-surge_w.csv similarity index 100% rename from SurgeData/N=1000/160-surge_w.csv rename to SurgeData/160-surge_w.csv diff --git a/SurgeData/N=1000/160-time_c.csv b/SurgeData/160-time_c.csv similarity index 100% rename from SurgeData/N=1000/160-time_c.csv rename to SurgeData/160-time_c.csv diff --git a/SurgeData/N=1000/160-time_w.csv b/SurgeData/160-time_w.csv similarity index 100% rename from SurgeData/N=1000/160-time_w.csv rename to SurgeData/160-time_w.csv diff --git a/SurgeData/N=1000/160-waterlevel_c.csv b/SurgeData/160-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/160-waterlevel_c.csv rename to SurgeData/160-waterlevel_c.csv diff --git a/SurgeData/N=1000/160-waterlevel_w.csv b/SurgeData/160-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/160-waterlevel_w.csv rename to SurgeData/160-waterlevel_w.csv diff --git a/SurgeData/N=1000/161-peak+year_c.csv b/SurgeData/161-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/161-peak+year_c.csv rename to SurgeData/161-peak+year_c.csv diff --git a/SurgeData/N=1000/161-peak+year_w.csv b/SurgeData/161-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/161-peak+year_w.csv rename to SurgeData/161-peak+year_w.csv diff --git a/SurgeData/N=1000/161-peak_c.csv b/SurgeData/161-peak_c.csv similarity index 100% rename from SurgeData/N=1000/161-peak_c.csv rename to SurgeData/161-peak_c.csv diff --git a/SurgeData/N=1000/161-peak_w.csv b/SurgeData/161-peak_w.csv similarity index 100% rename from SurgeData/N=1000/161-peak_w.csv rename to SurgeData/161-peak_w.csv diff --git a/SurgeData/N=1000/161-surge_c.csv b/SurgeData/161-surge_c.csv similarity index 100% rename from SurgeData/N=1000/161-surge_c.csv rename to SurgeData/161-surge_c.csv diff --git a/SurgeData/N=1000/161-surge_w.csv b/SurgeData/161-surge_w.csv similarity index 100% rename from SurgeData/N=1000/161-surge_w.csv rename to SurgeData/161-surge_w.csv diff --git a/SurgeData/N=1000/161-time_c.csv b/SurgeData/161-time_c.csv similarity index 100% rename from SurgeData/N=1000/161-time_c.csv rename to SurgeData/161-time_c.csv diff --git a/SurgeData/N=1000/161-time_w.csv b/SurgeData/161-time_w.csv similarity index 100% rename from SurgeData/N=1000/161-time_w.csv rename to SurgeData/161-time_w.csv diff --git a/SurgeData/N=1000/161-waterlevel_c.csv b/SurgeData/161-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/161-waterlevel_c.csv rename to SurgeData/161-waterlevel_c.csv diff --git a/SurgeData/N=1000/161-waterlevel_w.csv b/SurgeData/161-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/161-waterlevel_w.csv rename to SurgeData/161-waterlevel_w.csv diff --git a/SurgeData/162-num_storm.csv b/SurgeData/162-num_storm.csv new file mode 100644 index 00000000..a5e50cc9 --- /dev/null +++ b/SurgeData/162-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,0.0,3.0 +2022,1.0,1.0 +2023,2.0,7.0 +2024,2.0,6.0 +2025,3.0,3.0 +2026,0.0,3.0 +2027,0.0,5.0 +2028,0.0,0.0 +2029,1.0,3.0 +2030,1.0,4.0 +2031,0.0,3.0 +2032,0.0,6.0 +2033,1.0,3.0 +2034,5.0,5.0 +2035,1.0,3.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,0.0,2.0 +2039,1.0,4.0 +2040,3.0,3.0 +2041,2.0,5.0 +2042,4.0,4.0 +2043,1.0,3.0 +2044,2.0,6.0 +2045,2.0,7.0 +2046,1.0,3.0 +2047,0.0,4.0 +2048,1.0,4.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,1.0,4.0 +2052,4.0,5.0 +2053,0.0,9.0 +2054,1.0,6.0 +2055,2.0,5.0 +2056,3.0,6.0 +2057,0.0,5.0 +2058,2.0,3.0 +2059,2.0,2.0 +2060,0.0,4.0 +2061,2.0,6.0 +2062,3.0,1.0 +2063,1.0,7.0 +2064,2.0,6.0 +2065,1.0,6.0 +2066,1.0,3.0 +2067,0.0,3.0 +2068,1.0,8.0 +2069,1.0,3.0 +2070,1.0,3.0 +2071,2.0,5.0 +2072,0.0,6.0 +2073,1.0,5.0 +2074,1.0,5.0 +2075,2.0,5.0 +2076,3.0,3.0 +2077,2.0,2.0 +2078,1.0,3.0 +2079,2.0,3.0 +2080,0.0,4.0 +2081,0.0,8.0 +2082,1.0,3.0 +2083,2.0,5.0 +2084,2.0,5.0 +2085,1.0,6.0 +2086,1.0,4.0 +2087,1.0,3.0 +2088,0.0,5.0 +2089,1.0,3.0 +2090,1.0,4.0 +2091,1.0,5.0 +2092,1.0,4.0 +2093,1.0,1.0 +2094,1.0,2.0 +2095,1.0,1.0 +2096,2.0,5.0 +2097,0.0,10.0 +2098,0.0,2.0 +2099,3.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/162-peak+year_c.csv b/SurgeData/162-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/162-peak+year_c.csv rename to SurgeData/162-peak+year_c.csv diff --git a/SurgeData/N=1000/162-peak+year_w.csv b/SurgeData/162-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/162-peak+year_w.csv rename to SurgeData/162-peak+year_w.csv diff --git a/SurgeData/N=1000/162-peak_c.csv b/SurgeData/162-peak_c.csv similarity index 100% rename from SurgeData/N=1000/162-peak_c.csv rename to SurgeData/162-peak_c.csv diff --git a/SurgeData/N=1000/162-peak_w.csv b/SurgeData/162-peak_w.csv similarity index 100% rename from SurgeData/N=1000/162-peak_w.csv rename to SurgeData/162-peak_w.csv diff --git a/SurgeData/N=1000/162-surge_c.csv b/SurgeData/162-surge_c.csv similarity index 100% rename from SurgeData/N=1000/162-surge_c.csv rename to SurgeData/162-surge_c.csv diff --git a/SurgeData/N=1000/162-surge_w.csv b/SurgeData/162-surge_w.csv similarity index 100% rename from SurgeData/N=1000/162-surge_w.csv rename to SurgeData/162-surge_w.csv diff --git a/SurgeData/N=1000/162-time_c.csv b/SurgeData/162-time_c.csv similarity index 100% rename from SurgeData/N=1000/162-time_c.csv rename to SurgeData/162-time_c.csv diff --git a/SurgeData/N=1000/162-time_w.csv b/SurgeData/162-time_w.csv similarity index 100% rename from SurgeData/N=1000/162-time_w.csv rename to SurgeData/162-time_w.csv diff --git a/SurgeData/N=1000/162-waterlevel_c.csv b/SurgeData/162-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/162-waterlevel_c.csv rename to SurgeData/162-waterlevel_c.csv diff --git a/SurgeData/N=1000/162-waterlevel_w.csv b/SurgeData/162-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/162-waterlevel_w.csv rename to SurgeData/162-waterlevel_w.csv diff --git a/SurgeData/163-num_storm.csv b/SurgeData/163-num_storm.csv new file mode 100644 index 00000000..d01d37a7 --- /dev/null +++ b/SurgeData/163-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,10.0 +2021,1.0,6.0 +2022,4.0,5.0 +2023,1.0,3.0 +2024,1.0,5.0 +2025,0.0,2.0 +2026,1.0,7.0 +2027,2.0,2.0 +2028,2.0,3.0 +2029,0.0,6.0 +2030,2.0,4.0 +2031,1.0,5.0 +2032,3.0,4.0 +2033,2.0,3.0 +2034,1.0,6.0 +2035,1.0,5.0 +2036,0.0,5.0 +2037,3.0,4.0 +2038,1.0,3.0 +2039,3.0,10.0 +2040,2.0,4.0 +2041,1.0,6.0 +2042,0.0,7.0 +2043,1.0,3.0 +2044,2.0,4.0 +2045,2.0,4.0 +2046,2.0,4.0 +2047,1.0,7.0 +2048,1.0,7.0 +2049,4.0,8.0 +2050,1.0,7.0 +2051,2.0,8.0 +2052,2.0,3.0 +2053,2.0,2.0 +2054,0.0,5.0 +2055,3.0,6.0 +2056,0.0,5.0 +2057,5.0,5.0 +2058,2.0,3.0 +2059,2.0,3.0 +2060,1.0,7.0 +2061,0.0,8.0 +2062,0.0,5.0 +2063,2.0,6.0 +2064,2.0,5.0 +2065,0.0,7.0 +2066,1.0,2.0 +2067,0.0,7.0 +2068,4.0,4.0 +2069,2.0,5.0 +2070,0.0,5.0 +2071,0.0,3.0 +2072,0.0,6.0 +2073,3.0,5.0 +2074,2.0,5.0 +2075,0.0,3.0 +2076,1.0,3.0 +2077,1.0,8.0 +2078,2.0,5.0 +2079,0.0,3.0 +2080,4.0,4.0 +2081,0.0,2.0 +2082,2.0,9.0 +2083,0.0,1.0 +2084,1.0,4.0 +2085,2.0,7.0 +2086,0.0,1.0 +2087,0.0,3.0 +2088,2.0,6.0 +2089,2.0,5.0 +2090,3.0,4.0 +2091,3.0,7.0 +2092,1.0,5.0 +2093,1.0,1.0 +2094,2.0,3.0 +2095,3.0,2.0 +2096,4.0,5.0 +2097,1.0,9.0 +2098,1.0,4.0 +2099,1.0,6.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/163-peak+year_c.csv b/SurgeData/163-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/163-peak+year_c.csv rename to SurgeData/163-peak+year_c.csv diff --git a/SurgeData/N=1000/163-peak+year_w.csv b/SurgeData/163-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/163-peak+year_w.csv rename to SurgeData/163-peak+year_w.csv diff --git a/SurgeData/N=1000/163-peak_c.csv b/SurgeData/163-peak_c.csv similarity index 100% rename from SurgeData/N=1000/163-peak_c.csv rename to SurgeData/163-peak_c.csv diff --git a/SurgeData/N=1000/163-peak_w.csv b/SurgeData/163-peak_w.csv similarity index 100% rename from SurgeData/N=1000/163-peak_w.csv rename to SurgeData/163-peak_w.csv diff --git a/SurgeData/N=1000/163-surge_c.csv b/SurgeData/163-surge_c.csv similarity index 100% rename from SurgeData/N=1000/163-surge_c.csv rename to SurgeData/163-surge_c.csv diff --git a/SurgeData/N=1000/163-surge_w.csv b/SurgeData/163-surge_w.csv similarity index 100% rename from SurgeData/N=1000/163-surge_w.csv rename to SurgeData/163-surge_w.csv diff --git a/SurgeData/N=1000/163-time_c.csv b/SurgeData/163-time_c.csv similarity index 100% rename from SurgeData/N=1000/163-time_c.csv rename to SurgeData/163-time_c.csv diff --git a/SurgeData/N=1000/163-time_w.csv b/SurgeData/163-time_w.csv similarity index 100% rename from SurgeData/N=1000/163-time_w.csv rename to SurgeData/163-time_w.csv diff --git a/SurgeData/N=1000/163-waterlevel_c.csv b/SurgeData/163-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/163-waterlevel_c.csv rename to SurgeData/163-waterlevel_c.csv diff --git a/SurgeData/N=1000/163-waterlevel_w.csv b/SurgeData/163-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/163-waterlevel_w.csv rename to SurgeData/163-waterlevel_w.csv diff --git a/SurgeData/164-num_storm.csv b/SurgeData/164-num_storm.csv new file mode 100644 index 00000000..63bfcb7a --- /dev/null +++ b/SurgeData/164-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,5.0,1.0 +2022,2.0,3.0 +2023,2.0,6.0 +2024,0.0,0.0 +2025,1.0,7.0 +2026,2.0,4.0 +2027,1.0,6.0 +2028,0.0,5.0 +2029,1.0,3.0 +2030,2.0,11.0 +2031,3.0,9.0 +2032,1.0,3.0 +2033,2.0,6.0 +2034,1.0,7.0 +2035,1.0,5.0 +2036,1.0,5.0 +2037,1.0,2.0 +2038,0.0,6.0 +2039,2.0,3.0 +2040,1.0,3.0 +2041,2.0,2.0 +2042,1.0,5.0 +2043,1.0,7.0 +2044,2.0,1.0 +2045,1.0,3.0 +2046,1.0,2.0 +2047,1.0,5.0 +2048,2.0,3.0 +2049,2.0,3.0 +2050,0.0,2.0 +2051,1.0,3.0 +2052,2.0,8.0 +2053,0.0,4.0 +2054,3.0,4.0 +2055,2.0,4.0 +2056,3.0,4.0 +2057,1.0,1.0 +2058,3.0,3.0 +2059,3.0,4.0 +2060,2.0,5.0 +2061,2.0,5.0 +2062,2.0,6.0 +2063,2.0,2.0 +2064,1.0,5.0 +2065,0.0,2.0 +2066,2.0,2.0 +2067,1.0,5.0 +2068,0.0,4.0 +2069,2.0,3.0 +2070,1.0,3.0 +2071,1.0,7.0 +2072,3.0,4.0 +2073,1.0,3.0 +2074,2.0,5.0 +2075,3.0,3.0 +2076,2.0,5.0 +2077,0.0,2.0 +2078,2.0,6.0 +2079,1.0,2.0 +2080,3.0,6.0 +2081,7.0,2.0 +2082,2.0,1.0 +2083,1.0,3.0 +2084,2.0,10.0 +2085,0.0,2.0 +2086,2.0,1.0 +2087,3.0,5.0 +2088,2.0,3.0 +2089,2.0,5.0 +2090,1.0,4.0 +2091,1.0,6.0 +2092,1.0,6.0 +2093,2.0,3.0 +2094,3.0,3.0 +2095,1.0,2.0 +2096,1.0,6.0 +2097,1.0,7.0 +2098,3.0,1.0 +2099,3.0,1.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/164-peak+year_c.csv b/SurgeData/164-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/164-peak+year_c.csv rename to SurgeData/164-peak+year_c.csv diff --git a/SurgeData/N=1000/164-peak+year_w.csv b/SurgeData/164-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/164-peak+year_w.csv rename to SurgeData/164-peak+year_w.csv diff --git a/SurgeData/N=1000/164-peak_c.csv b/SurgeData/164-peak_c.csv similarity index 100% rename from SurgeData/N=1000/164-peak_c.csv rename to SurgeData/164-peak_c.csv diff --git a/SurgeData/N=1000/164-peak_w.csv b/SurgeData/164-peak_w.csv similarity index 100% rename from SurgeData/N=1000/164-peak_w.csv rename to SurgeData/164-peak_w.csv diff --git a/SurgeData/N=1000/164-surge_c.csv b/SurgeData/164-surge_c.csv similarity index 100% rename from SurgeData/N=1000/164-surge_c.csv rename to SurgeData/164-surge_c.csv diff --git a/SurgeData/N=1000/164-surge_w.csv b/SurgeData/164-surge_w.csv similarity index 100% rename from SurgeData/N=1000/164-surge_w.csv rename to SurgeData/164-surge_w.csv diff --git a/SurgeData/N=1000/164-time_c.csv b/SurgeData/164-time_c.csv similarity index 100% rename from SurgeData/N=1000/164-time_c.csv rename to SurgeData/164-time_c.csv diff --git a/SurgeData/N=1000/164-time_w.csv b/SurgeData/164-time_w.csv similarity index 100% rename from SurgeData/N=1000/164-time_w.csv rename to SurgeData/164-time_w.csv diff --git a/SurgeData/N=1000/164-waterlevel_c.csv b/SurgeData/164-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/164-waterlevel_c.csv rename to SurgeData/164-waterlevel_c.csv diff --git a/SurgeData/N=1000/164-waterlevel_w.csv b/SurgeData/164-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/164-waterlevel_w.csv rename to SurgeData/164-waterlevel_w.csv diff --git a/SurgeData/N=1000/165-peak+year_c.csv b/SurgeData/165-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/165-peak+year_c.csv rename to SurgeData/165-peak+year_c.csv diff --git a/SurgeData/N=1000/165-peak+year_w.csv b/SurgeData/165-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/165-peak+year_w.csv rename to SurgeData/165-peak+year_w.csv diff --git a/SurgeData/N=1000/165-peak_c.csv b/SurgeData/165-peak_c.csv similarity index 100% rename from SurgeData/N=1000/165-peak_c.csv rename to SurgeData/165-peak_c.csv diff --git a/SurgeData/N=1000/165-peak_w.csv b/SurgeData/165-peak_w.csv similarity index 100% rename from SurgeData/N=1000/165-peak_w.csv rename to SurgeData/165-peak_w.csv diff --git a/SurgeData/N=1000/165-surge_c.csv b/SurgeData/165-surge_c.csv similarity index 100% rename from SurgeData/N=1000/165-surge_c.csv rename to SurgeData/165-surge_c.csv diff --git a/SurgeData/N=1000/165-surge_w.csv b/SurgeData/165-surge_w.csv similarity index 100% rename from SurgeData/N=1000/165-surge_w.csv rename to SurgeData/165-surge_w.csv diff --git a/SurgeData/N=1000/165-time_c.csv b/SurgeData/165-time_c.csv similarity index 100% rename from SurgeData/N=1000/165-time_c.csv rename to SurgeData/165-time_c.csv diff --git a/SurgeData/N=1000/165-time_w.csv b/SurgeData/165-time_w.csv similarity index 100% rename from SurgeData/N=1000/165-time_w.csv rename to SurgeData/165-time_w.csv diff --git a/SurgeData/N=1000/165-waterlevel_c.csv b/SurgeData/165-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/165-waterlevel_c.csv rename to SurgeData/165-waterlevel_c.csv diff --git a/SurgeData/N=1000/165-waterlevel_w.csv b/SurgeData/165-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/165-waterlevel_w.csv rename to SurgeData/165-waterlevel_w.csv diff --git a/SurgeData/166-num_storm.csv b/SurgeData/166-num_storm.csv new file mode 100644 index 00000000..a79d9f0c --- /dev/null +++ b/SurgeData/166-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,4.0,0.0 +2022,2.0,2.0 +2023,1.0,3.0 +2024,3.0,5.0 +2025,0.0,4.0 +2026,0.0,2.0 +2027,2.0,3.0 +2028,0.0,1.0 +2029,2.0,0.0 +2030,2.0,3.0 +2031,0.0,3.0 +2032,1.0,4.0 +2033,1.0,3.0 +2034,0.0,4.0 +2035,0.0,6.0 +2036,1.0,4.0 +2037,0.0,9.0 +2038,0.0,4.0 +2039,4.0,3.0 +2040,3.0,3.0 +2041,4.0,6.0 +2042,1.0,3.0 +2043,2.0,3.0 +2044,1.0,8.0 +2045,3.0,5.0 +2046,1.0,7.0 +2047,2.0,4.0 +2048,2.0,5.0 +2049,2.0,2.0 +2050,2.0,3.0 +2051,0.0,3.0 +2052,1.0,6.0 +2053,0.0,5.0 +2054,2.0,5.0 +2055,1.0,4.0 +2056,2.0,6.0 +2057,2.0,1.0 +2058,0.0,1.0 +2059,1.0,3.0 +2060,1.0,7.0 +2061,2.0,4.0 +2062,3.0,1.0 +2063,1.0,7.0 +2064,1.0,3.0 +2065,1.0,5.0 +2066,3.0,4.0 +2067,3.0,2.0 +2068,2.0,5.0 +2069,1.0,3.0 +2070,2.0,4.0 +2071,2.0,5.0 +2072,1.0,6.0 +2073,1.0,5.0 +2074,1.0,1.0 +2075,1.0,2.0 +2076,2.0,1.0 +2077,0.0,3.0 +2078,0.0,3.0 +2079,3.0,1.0 +2080,4.0,2.0 +2081,1.0,5.0 +2082,1.0,5.0 +2083,1.0,0.0 +2084,1.0,3.0 +2085,1.0,2.0 +2086,2.0,4.0 +2087,1.0,3.0 +2088,6.0,4.0 +2089,3.0,3.0 +2090,0.0,4.0 +2091,2.0,5.0 +2092,0.0,2.0 +2093,1.0,3.0 +2094,0.0,2.0 +2095,0.0,4.0 +2096,3.0,5.0 +2097,1.0,5.0 +2098,1.0,4.0 +2099,1.0,1.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/166-peak+year_c.csv b/SurgeData/166-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/166-peak+year_c.csv rename to SurgeData/166-peak+year_c.csv diff --git a/SurgeData/N=1000/166-peak+year_w.csv b/SurgeData/166-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/166-peak+year_w.csv rename to SurgeData/166-peak+year_w.csv diff --git a/SurgeData/N=1000/166-peak_c.csv b/SurgeData/166-peak_c.csv similarity index 100% rename from SurgeData/N=1000/166-peak_c.csv rename to SurgeData/166-peak_c.csv diff --git a/SurgeData/N=1000/166-peak_w.csv b/SurgeData/166-peak_w.csv similarity index 100% rename from SurgeData/N=1000/166-peak_w.csv rename to SurgeData/166-peak_w.csv diff --git a/SurgeData/N=1000/166-surge_c.csv b/SurgeData/166-surge_c.csv similarity index 100% rename from SurgeData/N=1000/166-surge_c.csv rename to SurgeData/166-surge_c.csv diff --git a/SurgeData/N=1000/166-surge_w.csv b/SurgeData/166-surge_w.csv similarity index 100% rename from SurgeData/N=1000/166-surge_w.csv rename to SurgeData/166-surge_w.csv diff --git a/SurgeData/N=1000/166-time_c.csv b/SurgeData/166-time_c.csv similarity index 100% rename from SurgeData/N=1000/166-time_c.csv rename to SurgeData/166-time_c.csv diff --git a/SurgeData/N=1000/166-time_w.csv b/SurgeData/166-time_w.csv similarity index 100% rename from SurgeData/N=1000/166-time_w.csv rename to SurgeData/166-time_w.csv diff --git a/SurgeData/N=1000/166-waterlevel_c.csv b/SurgeData/166-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/166-waterlevel_c.csv rename to SurgeData/166-waterlevel_c.csv diff --git a/SurgeData/N=1000/166-waterlevel_w.csv b/SurgeData/166-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/166-waterlevel_w.csv rename to SurgeData/166-waterlevel_w.csv diff --git a/SurgeData/167-num_storm.csv b/SurgeData/167-num_storm.csv new file mode 100644 index 00000000..209aff7d --- /dev/null +++ b/SurgeData/167-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,4.0 +2022,0.0,5.0 +2023,4.0,1.0 +2024,1.0,1.0 +2025,1.0,6.0 +2026,5.0,10.0 +2027,2.0,3.0 +2028,3.0,5.0 +2029,3.0,5.0 +2030,0.0,7.0 +2031,1.0,6.0 +2032,0.0,6.0 +2033,3.0,2.0 +2034,1.0,8.0 +2035,3.0,4.0 +2036,0.0,3.0 +2037,1.0,4.0 +2038,5.0,4.0 +2039,1.0,3.0 +2040,3.0,3.0 +2041,4.0,3.0 +2042,4.0,5.0 +2043,3.0,5.0 +2044,0.0,7.0 +2045,1.0,5.0 +2046,2.0,3.0 +2047,0.0,4.0 +2048,2.0,1.0 +2049,1.0,5.0 +2050,0.0,2.0 +2051,0.0,1.0 +2052,2.0,3.0 +2053,2.0,6.0 +2054,2.0,5.0 +2055,2.0,4.0 +2056,2.0,5.0 +2057,1.0,5.0 +2058,3.0,2.0 +2059,2.0,5.0 +2060,0.0,5.0 +2061,0.0,3.0 +2062,3.0,2.0 +2063,1.0,3.0 +2064,2.0,4.0 +2065,3.0,5.0 +2066,1.0,6.0 +2067,4.0,4.0 +2068,2.0,1.0 +2069,0.0,5.0 +2070,1.0,7.0 +2071,3.0,4.0 +2072,3.0,1.0 +2073,2.0,5.0 +2074,2.0,5.0 +2075,1.0,1.0 +2076,0.0,5.0 +2077,1.0,3.0 +2078,5.0,5.0 +2079,1.0,4.0 +2080,0.0,6.0 +2081,1.0,8.0 +2082,2.0,7.0 +2083,1.0,5.0 +2084,0.0,2.0 +2085,2.0,5.0 +2086,1.0,11.0 +2087,3.0,3.0 +2088,3.0,7.0 +2089,0.0,4.0 +2090,0.0,2.0 +2091,1.0,4.0 +2092,1.0,10.0 +2093,1.0,10.0 +2094,3.0,3.0 +2095,2.0,7.0 +2096,1.0,7.0 +2097,0.0,4.0 +2098,3.0,1.0 +2099,2.0,5.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/167-peak+year_c.csv b/SurgeData/167-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/167-peak+year_c.csv rename to SurgeData/167-peak+year_c.csv diff --git a/SurgeData/N=1000/167-peak+year_w.csv b/SurgeData/167-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/167-peak+year_w.csv rename to SurgeData/167-peak+year_w.csv diff --git a/SurgeData/N=1000/167-peak_c.csv b/SurgeData/167-peak_c.csv similarity index 100% rename from SurgeData/N=1000/167-peak_c.csv rename to SurgeData/167-peak_c.csv diff --git a/SurgeData/N=1000/167-peak_w.csv b/SurgeData/167-peak_w.csv similarity index 100% rename from SurgeData/N=1000/167-peak_w.csv rename to SurgeData/167-peak_w.csv diff --git a/SurgeData/N=1000/167-surge_c.csv b/SurgeData/167-surge_c.csv similarity index 100% rename from SurgeData/N=1000/167-surge_c.csv rename to SurgeData/167-surge_c.csv diff --git a/SurgeData/N=1000/167-surge_w.csv b/SurgeData/167-surge_w.csv similarity index 100% rename from SurgeData/N=1000/167-surge_w.csv rename to SurgeData/167-surge_w.csv diff --git a/SurgeData/N=1000/167-time_c.csv b/SurgeData/167-time_c.csv similarity index 100% rename from SurgeData/N=1000/167-time_c.csv rename to SurgeData/167-time_c.csv diff --git a/SurgeData/N=1000/167-time_w.csv b/SurgeData/167-time_w.csv similarity index 100% rename from SurgeData/N=1000/167-time_w.csv rename to SurgeData/167-time_w.csv diff --git a/SurgeData/N=1000/167-waterlevel_c.csv b/SurgeData/167-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/167-waterlevel_c.csv rename to SurgeData/167-waterlevel_c.csv diff --git a/SurgeData/N=1000/167-waterlevel_w.csv b/SurgeData/167-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/167-waterlevel_w.csv rename to SurgeData/167-waterlevel_w.csv diff --git a/SurgeData/168-num_storm.csv b/SurgeData/168-num_storm.csv new file mode 100644 index 00000000..c086007b --- /dev/null +++ b/SurgeData/168-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,0.0,6.0 +2022,1.0,6.0 +2023,2.0,6.0 +2024,3.0,6.0 +2025,4.0,5.0 +2026,0.0,6.0 +2027,1.0,2.0 +2028,1.0,7.0 +2029,2.0,1.0 +2030,0.0,2.0 +2031,2.0,4.0 +2032,1.0,7.0 +2033,0.0,4.0 +2034,1.0,4.0 +2035,2.0,5.0 +2036,2.0,4.0 +2037,2.0,3.0 +2038,1.0,2.0 +2039,1.0,3.0 +2040,1.0,2.0 +2041,0.0,5.0 +2042,2.0,5.0 +2043,3.0,3.0 +2044,4.0,3.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,1.0,1.0 +2048,3.0,1.0 +2049,0.0,3.0 +2050,3.0,2.0 +2051,4.0,2.0 +2052,1.0,4.0 +2053,4.0,9.0 +2054,2.0,7.0 +2055,1.0,5.0 +2056,2.0,8.0 +2057,2.0,6.0 +2058,1.0,7.0 +2059,1.0,9.0 +2060,2.0,5.0 +2061,1.0,5.0 +2062,2.0,3.0 +2063,1.0,1.0 +2064,2.0,4.0 +2065,0.0,3.0 +2066,1.0,1.0 +2067,2.0,3.0 +2068,0.0,4.0 +2069,0.0,8.0 +2070,2.0,4.0 +2071,3.0,6.0 +2072,0.0,5.0 +2073,2.0,0.0 +2074,1.0,2.0 +2075,4.0,4.0 +2076,0.0,9.0 +2077,3.0,3.0 +2078,1.0,6.0 +2079,3.0,10.0 +2080,3.0,1.0 +2081,1.0,0.0 +2082,3.0,3.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,2.0,5.0 +2086,2.0,7.0 +2087,3.0,5.0 +2088,2.0,5.0 +2089,1.0,2.0 +2090,1.0,8.0 +2091,1.0,3.0 +2092,1.0,4.0 +2093,0.0,5.0 +2094,0.0,4.0 +2095,1.0,3.0 +2096,1.0,3.0 +2097,3.0,2.0 +2098,3.0,2.0 +2099,3.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/168-peak+year_c.csv b/SurgeData/168-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/168-peak+year_c.csv rename to SurgeData/168-peak+year_c.csv diff --git a/SurgeData/N=1000/168-peak+year_w.csv b/SurgeData/168-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/168-peak+year_w.csv rename to SurgeData/168-peak+year_w.csv diff --git a/SurgeData/N=1000/168-peak_c.csv b/SurgeData/168-peak_c.csv similarity index 100% rename from SurgeData/N=1000/168-peak_c.csv rename to SurgeData/168-peak_c.csv diff --git a/SurgeData/N=1000/168-peak_w.csv b/SurgeData/168-peak_w.csv similarity index 100% rename from SurgeData/N=1000/168-peak_w.csv rename to SurgeData/168-peak_w.csv diff --git a/SurgeData/N=1000/168-surge_c.csv b/SurgeData/168-surge_c.csv similarity index 100% rename from SurgeData/N=1000/168-surge_c.csv rename to SurgeData/168-surge_c.csv diff --git a/SurgeData/N=1000/168-surge_w.csv b/SurgeData/168-surge_w.csv similarity index 100% rename from SurgeData/N=1000/168-surge_w.csv rename to SurgeData/168-surge_w.csv diff --git a/SurgeData/N=1000/168-time_c.csv b/SurgeData/168-time_c.csv similarity index 100% rename from SurgeData/N=1000/168-time_c.csv rename to SurgeData/168-time_c.csv diff --git a/SurgeData/N=1000/168-time_w.csv b/SurgeData/168-time_w.csv similarity index 100% rename from SurgeData/N=1000/168-time_w.csv rename to SurgeData/168-time_w.csv diff --git a/SurgeData/N=1000/168-waterlevel_c.csv b/SurgeData/168-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/168-waterlevel_c.csv rename to SurgeData/168-waterlevel_c.csv diff --git a/SurgeData/N=1000/168-waterlevel_w.csv b/SurgeData/168-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/168-waterlevel_w.csv rename to SurgeData/168-waterlevel_w.csv diff --git a/SurgeData/169-num_storm.csv b/SurgeData/169-num_storm.csv new file mode 100644 index 00000000..064dfe1b --- /dev/null +++ b/SurgeData/169-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,5.0,1.0 +2022,2.0,9.0 +2023,2.0,4.0 +2024,2.0,3.0 +2025,1.0,6.0 +2026,2.0,6.0 +2027,1.0,4.0 +2028,2.0,8.0 +2029,2.0,5.0 +2030,2.0,5.0 +2031,1.0,2.0 +2032,2.0,8.0 +2033,0.0,4.0 +2034,0.0,6.0 +2035,5.0,8.0 +2036,0.0,4.0 +2037,2.0,5.0 +2038,1.0,6.0 +2039,1.0,1.0 +2040,1.0,3.0 +2041,2.0,4.0 +2042,3.0,5.0 +2043,2.0,0.0 +2044,2.0,8.0 +2045,0.0,3.0 +2046,0.0,5.0 +2047,3.0,2.0 +2048,0.0,1.0 +2049,5.0,3.0 +2050,0.0,3.0 +2051,2.0,4.0 +2052,2.0,2.0 +2053,3.0,2.0 +2054,1.0,5.0 +2055,1.0,3.0 +2056,3.0,6.0 +2057,2.0,1.0 +2058,1.0,9.0 +2059,3.0,3.0 +2060,2.0,5.0 +2061,2.0,8.0 +2062,0.0,3.0 +2063,4.0,3.0 +2064,3.0,2.0 +2065,2.0,5.0 +2066,5.0,2.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,4.0,7.0 +2070,2.0,3.0 +2071,4.0,4.0 +2072,5.0,2.0 +2073,4.0,4.0 +2074,1.0,1.0 +2075,2.0,2.0 +2076,1.0,1.0 +2077,1.0,2.0 +2078,1.0,2.0 +2079,1.0,4.0 +2080,0.0,5.0 +2081,1.0,6.0 +2082,1.0,6.0 +2083,1.0,2.0 +2084,1.0,5.0 +2085,2.0,3.0 +2086,3.0,6.0 +2087,2.0,7.0 +2088,2.0,3.0 +2089,4.0,4.0 +2090,1.0,5.0 +2091,0.0,5.0 +2092,1.0,11.0 +2093,2.0,5.0 +2094,2.0,4.0 +2095,4.0,3.0 +2096,2.0,4.0 +2097,1.0,4.0 +2098,0.0,3.0 +2099,1.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/169-peak+year_c.csv b/SurgeData/169-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/169-peak+year_c.csv rename to SurgeData/169-peak+year_c.csv diff --git a/SurgeData/N=1000/169-peak+year_w.csv b/SurgeData/169-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/169-peak+year_w.csv rename to SurgeData/169-peak+year_w.csv diff --git a/SurgeData/N=1000/169-peak_c.csv b/SurgeData/169-peak_c.csv similarity index 100% rename from SurgeData/N=1000/169-peak_c.csv rename to SurgeData/169-peak_c.csv diff --git a/SurgeData/N=1000/169-peak_w.csv b/SurgeData/169-peak_w.csv similarity index 100% rename from SurgeData/N=1000/169-peak_w.csv rename to SurgeData/169-peak_w.csv diff --git a/SurgeData/N=1000/169-surge_c.csv b/SurgeData/169-surge_c.csv similarity index 100% rename from SurgeData/N=1000/169-surge_c.csv rename to SurgeData/169-surge_c.csv diff --git a/SurgeData/N=1000/169-surge_w.csv b/SurgeData/169-surge_w.csv similarity index 100% rename from SurgeData/N=1000/169-surge_w.csv rename to SurgeData/169-surge_w.csv diff --git a/SurgeData/N=1000/169-time_c.csv b/SurgeData/169-time_c.csv similarity index 100% rename from SurgeData/N=1000/169-time_c.csv rename to SurgeData/169-time_c.csv diff --git a/SurgeData/N=1000/169-time_w.csv b/SurgeData/169-time_w.csv similarity index 100% rename from SurgeData/N=1000/169-time_w.csv rename to SurgeData/169-time_w.csv diff --git a/SurgeData/N=1000/169-waterlevel_c.csv b/SurgeData/169-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/169-waterlevel_c.csv rename to SurgeData/169-waterlevel_c.csv diff --git a/SurgeData/N=1000/169-waterlevel_w.csv b/SurgeData/169-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/169-waterlevel_w.csv rename to SurgeData/169-waterlevel_w.csv diff --git a/SurgeData/17-num_storm.csv b/SurgeData/17-num_storm.csv new file mode 100644 index 00000000..afec9a29 --- /dev/null +++ b/SurgeData/17-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,8.0 +2022,1.0,5.0 +2023,3.0,7.0 +2024,0.0,3.0 +2025,2.0,5.0 +2026,1.0,5.0 +2027,1.0,7.0 +2028,1.0,2.0 +2029,1.0,5.0 +2030,2.0,4.0 +2031,1.0,3.0 +2032,3.0,1.0 +2033,1.0,4.0 +2034,0.0,7.0 +2035,0.0,5.0 +2036,1.0,6.0 +2037,1.0,4.0 +2038,0.0,4.0 +2039,3.0,4.0 +2040,2.0,6.0 +2041,3.0,5.0 +2042,1.0,4.0 +2043,2.0,2.0 +2044,0.0,6.0 +2045,2.0,1.0 +2046,1.0,2.0 +2047,2.0,5.0 +2048,0.0,5.0 +2049,0.0,4.0 +2050,2.0,4.0 +2051,0.0,2.0 +2052,0.0,2.0 +2053,0.0,1.0 +2054,2.0,2.0 +2055,1.0,9.0 +2056,0.0,4.0 +2057,4.0,4.0 +2058,2.0,6.0 +2059,2.0,2.0 +2060,3.0,6.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,0.0,3.0 +2064,2.0,3.0 +2065,1.0,4.0 +2066,0.0,2.0 +2067,1.0,1.0 +2068,4.0,4.0 +2069,0.0,7.0 +2070,2.0,2.0 +2071,2.0,9.0 +2072,6.0,3.0 +2073,1.0,5.0 +2074,1.0,5.0 +2075,2.0,2.0 +2076,1.0,10.0 +2077,1.0,4.0 +2078,1.0,6.0 +2079,0.0,7.0 +2080,3.0,3.0 +2081,0.0,7.0 +2082,6.0,4.0 +2083,0.0,5.0 +2084,5.0,4.0 +2085,0.0,5.0 +2086,1.0,6.0 +2087,1.0,7.0 +2088,0.0,1.0 +2089,1.0,0.0 +2090,4.0,4.0 +2091,3.0,5.0 +2092,0.0,6.0 +2093,2.0,7.0 +2094,1.0,7.0 +2095,0.0,5.0 +2096,1.0,2.0 +2097,3.0,3.0 +2098,1.0,6.0 +2099,4.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/17-peak+year_c.csv b/SurgeData/17-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/17-peak+year_c.csv rename to SurgeData/17-peak+year_c.csv diff --git a/SurgeData/N=1000/17-peak+year_w.csv b/SurgeData/17-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/17-peak+year_w.csv rename to SurgeData/17-peak+year_w.csv diff --git a/SurgeData/N=1000/17-peak_c.csv b/SurgeData/17-peak_c.csv similarity index 100% rename from SurgeData/N=1000/17-peak_c.csv rename to SurgeData/17-peak_c.csv diff --git a/SurgeData/N=1000/17-peak_w.csv b/SurgeData/17-peak_w.csv similarity index 100% rename from SurgeData/N=1000/17-peak_w.csv rename to SurgeData/17-peak_w.csv diff --git a/SurgeData/N=1000/17-surge_c.csv b/SurgeData/17-surge_c.csv similarity index 100% rename from SurgeData/N=1000/17-surge_c.csv rename to SurgeData/17-surge_c.csv diff --git a/SurgeData/N=1000/17-surge_w.csv b/SurgeData/17-surge_w.csv similarity index 100% rename from SurgeData/N=1000/17-surge_w.csv rename to SurgeData/17-surge_w.csv diff --git a/SurgeData/N=1000/17-time_c.csv b/SurgeData/17-time_c.csv similarity index 100% rename from SurgeData/N=1000/17-time_c.csv rename to SurgeData/17-time_c.csv diff --git a/SurgeData/N=1000/17-time_w.csv b/SurgeData/17-time_w.csv similarity index 100% rename from SurgeData/N=1000/17-time_w.csv rename to SurgeData/17-time_w.csv diff --git a/SurgeData/N=1000/17-waterlevel_c.csv b/SurgeData/17-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/17-waterlevel_c.csv rename to SurgeData/17-waterlevel_c.csv diff --git a/SurgeData/N=1000/17-waterlevel_w.csv b/SurgeData/17-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/17-waterlevel_w.csv rename to SurgeData/17-waterlevel_w.csv diff --git a/SurgeData/N=1000/170-peak+year_c.csv b/SurgeData/170-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/170-peak+year_c.csv rename to SurgeData/170-peak+year_c.csv diff --git a/SurgeData/N=1000/170-peak+year_w.csv b/SurgeData/170-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/170-peak+year_w.csv rename to SurgeData/170-peak+year_w.csv diff --git a/SurgeData/N=1000/170-peak_c.csv b/SurgeData/170-peak_c.csv similarity index 100% rename from SurgeData/N=1000/170-peak_c.csv rename to SurgeData/170-peak_c.csv diff --git a/SurgeData/N=1000/170-peak_w.csv b/SurgeData/170-peak_w.csv similarity index 100% rename from SurgeData/N=1000/170-peak_w.csv rename to SurgeData/170-peak_w.csv diff --git a/SurgeData/N=1000/170-surge_c.csv b/SurgeData/170-surge_c.csv similarity index 100% rename from SurgeData/N=1000/170-surge_c.csv rename to SurgeData/170-surge_c.csv diff --git a/SurgeData/N=1000/170-surge_w.csv b/SurgeData/170-surge_w.csv similarity index 100% rename from SurgeData/N=1000/170-surge_w.csv rename to SurgeData/170-surge_w.csv diff --git a/SurgeData/N=1000/170-time_c.csv b/SurgeData/170-time_c.csv similarity index 100% rename from SurgeData/N=1000/170-time_c.csv rename to SurgeData/170-time_c.csv diff --git a/SurgeData/N=1000/170-time_w.csv b/SurgeData/170-time_w.csv similarity index 100% rename from SurgeData/N=1000/170-time_w.csv rename to SurgeData/170-time_w.csv diff --git a/SurgeData/N=1000/170-waterlevel_c.csv b/SurgeData/170-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/170-waterlevel_c.csv rename to SurgeData/170-waterlevel_c.csv diff --git a/SurgeData/N=1000/170-waterlevel_w.csv b/SurgeData/170-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/170-waterlevel_w.csv rename to SurgeData/170-waterlevel_w.csv diff --git a/SurgeData/171-num_storm.csv b/SurgeData/171-num_storm.csv new file mode 100644 index 00000000..00c7106f --- /dev/null +++ b/SurgeData/171-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,1.0 +2022,1.0,2.0 +2023,4.0,6.0 +2024,1.0,5.0 +2025,3.0,4.0 +2026,3.0,0.0 +2027,2.0,1.0 +2028,2.0,6.0 +2029,4.0,6.0 +2030,0.0,6.0 +2031,2.0,5.0 +2032,5.0,4.0 +2033,0.0,5.0 +2034,0.0,5.0 +2035,2.0,6.0 +2036,1.0,5.0 +2037,1.0,5.0 +2038,2.0,6.0 +2039,3.0,4.0 +2040,0.0,1.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,2.0,6.0 +2044,5.0,4.0 +2045,4.0,5.0 +2046,1.0,4.0 +2047,0.0,4.0 +2048,2.0,3.0 +2049,2.0,4.0 +2050,2.0,7.0 +2051,3.0,6.0 +2052,0.0,4.0 +2053,2.0,9.0 +2054,1.0,5.0 +2055,1.0,7.0 +2056,1.0,3.0 +2057,4.0,5.0 +2058,1.0,2.0 +2059,0.0,3.0 +2060,1.0,6.0 +2061,0.0,4.0 +2062,1.0,7.0 +2063,2.0,6.0 +2064,0.0,5.0 +2065,3.0,1.0 +2066,0.0,3.0 +2067,0.0,5.0 +2068,1.0,4.0 +2069,2.0,5.0 +2070,3.0,4.0 +2071,2.0,5.0 +2072,2.0,5.0 +2073,1.0,7.0 +2074,3.0,3.0 +2075,3.0,2.0 +2076,1.0,4.0 +2077,3.0,0.0 +2078,4.0,0.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,3.0,3.0 +2082,2.0,8.0 +2083,2.0,2.0 +2084,2.0,5.0 +2085,3.0,5.0 +2086,3.0,4.0 +2087,1.0,2.0 +2088,2.0,4.0 +2089,1.0,1.0 +2090,0.0,2.0 +2091,2.0,3.0 +2092,0.0,5.0 +2093,0.0,2.0 +2094,1.0,3.0 +2095,0.0,5.0 +2096,3.0,2.0 +2097,1.0,3.0 +2098,1.0,1.0 +2099,2.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/171-peak+year_c.csv b/SurgeData/171-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/171-peak+year_c.csv rename to SurgeData/171-peak+year_c.csv diff --git a/SurgeData/N=1000/171-peak+year_w.csv b/SurgeData/171-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/171-peak+year_w.csv rename to SurgeData/171-peak+year_w.csv diff --git a/SurgeData/N=1000/171-peak_c.csv b/SurgeData/171-peak_c.csv similarity index 100% rename from SurgeData/N=1000/171-peak_c.csv rename to SurgeData/171-peak_c.csv diff --git a/SurgeData/N=1000/171-peak_w.csv b/SurgeData/171-peak_w.csv similarity index 100% rename from SurgeData/N=1000/171-peak_w.csv rename to SurgeData/171-peak_w.csv diff --git a/SurgeData/N=1000/171-surge_c.csv b/SurgeData/171-surge_c.csv similarity index 100% rename from SurgeData/N=1000/171-surge_c.csv rename to SurgeData/171-surge_c.csv diff --git a/SurgeData/N=1000/171-surge_w.csv b/SurgeData/171-surge_w.csv similarity index 100% rename from SurgeData/N=1000/171-surge_w.csv rename to SurgeData/171-surge_w.csv diff --git a/SurgeData/N=1000/171-time_c.csv b/SurgeData/171-time_c.csv similarity index 100% rename from SurgeData/N=1000/171-time_c.csv rename to SurgeData/171-time_c.csv diff --git a/SurgeData/N=1000/171-time_w.csv b/SurgeData/171-time_w.csv similarity index 100% rename from SurgeData/N=1000/171-time_w.csv rename to SurgeData/171-time_w.csv diff --git a/SurgeData/N=1000/171-waterlevel_c.csv b/SurgeData/171-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/171-waterlevel_c.csv rename to SurgeData/171-waterlevel_c.csv diff --git a/SurgeData/N=1000/171-waterlevel_w.csv b/SurgeData/171-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/171-waterlevel_w.csv rename to SurgeData/171-waterlevel_w.csv diff --git a/SurgeData/172-num_storm.csv b/SurgeData/172-num_storm.csv new file mode 100644 index 00000000..b17a46e8 --- /dev/null +++ b/SurgeData/172-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,4.0 +2022,1.0,4.0 +2023,2.0,3.0 +2024,2.0,5.0 +2025,0.0,3.0 +2026,0.0,5.0 +2027,2.0,4.0 +2028,1.0,2.0 +2029,0.0,4.0 +2030,1.0,4.0 +2031,2.0,3.0 +2032,0.0,3.0 +2033,0.0,6.0 +2034,3.0,2.0 +2035,3.0,3.0 +2036,3.0,2.0 +2037,0.0,11.0 +2038,0.0,3.0 +2039,1.0,3.0 +2040,0.0,2.0 +2041,2.0,6.0 +2042,2.0,2.0 +2043,1.0,2.0 +2044,2.0,4.0 +2045,2.0,7.0 +2046,0.0,6.0 +2047,2.0,7.0 +2048,4.0,2.0 +2049,0.0,1.0 +2050,2.0,3.0 +2051,4.0,6.0 +2052,1.0,1.0 +2053,0.0,9.0 +2054,0.0,6.0 +2055,0.0,3.0 +2056,3.0,8.0 +2057,1.0,4.0 +2058,2.0,2.0 +2059,3.0,4.0 +2060,1.0,1.0 +2061,1.0,2.0 +2062,1.0,4.0 +2063,4.0,3.0 +2064,2.0,9.0 +2065,2.0,4.0 +2066,0.0,3.0 +2067,4.0,8.0 +2068,2.0,3.0 +2069,2.0,4.0 +2070,2.0,3.0 +2071,1.0,2.0 +2072,0.0,6.0 +2073,1.0,4.0 +2074,2.0,4.0 +2075,1.0,6.0 +2076,1.0,7.0 +2077,1.0,3.0 +2078,0.0,4.0 +2079,2.0,7.0 +2080,0.0,3.0 +2081,1.0,1.0 +2082,0.0,4.0 +2083,1.0,5.0 +2084,2.0,3.0 +2085,1.0,5.0 +2086,3.0,3.0 +2087,3.0,7.0 +2088,3.0,5.0 +2089,0.0,6.0 +2090,1.0,3.0 +2091,0.0,5.0 +2092,3.0,3.0 +2093,2.0,8.0 +2094,3.0,3.0 +2095,3.0,5.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,1.0,5.0 +2099,3.0,2.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/172-peak+year_c.csv b/SurgeData/172-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/172-peak+year_c.csv rename to SurgeData/172-peak+year_c.csv diff --git a/SurgeData/N=1000/172-peak+year_w.csv b/SurgeData/172-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/172-peak+year_w.csv rename to SurgeData/172-peak+year_w.csv diff --git a/SurgeData/N=1000/172-peak_c.csv b/SurgeData/172-peak_c.csv similarity index 100% rename from SurgeData/N=1000/172-peak_c.csv rename to SurgeData/172-peak_c.csv diff --git a/SurgeData/N=1000/172-peak_w.csv b/SurgeData/172-peak_w.csv similarity index 100% rename from SurgeData/N=1000/172-peak_w.csv rename to SurgeData/172-peak_w.csv diff --git a/SurgeData/N=1000/172-surge_c.csv b/SurgeData/172-surge_c.csv similarity index 100% rename from SurgeData/N=1000/172-surge_c.csv rename to SurgeData/172-surge_c.csv diff --git a/SurgeData/N=1000/172-surge_w.csv b/SurgeData/172-surge_w.csv similarity index 100% rename from SurgeData/N=1000/172-surge_w.csv rename to SurgeData/172-surge_w.csv diff --git a/SurgeData/N=1000/172-time_c.csv b/SurgeData/172-time_c.csv similarity index 100% rename from SurgeData/N=1000/172-time_c.csv rename to SurgeData/172-time_c.csv diff --git a/SurgeData/N=1000/172-time_w.csv b/SurgeData/172-time_w.csv similarity index 100% rename from SurgeData/N=1000/172-time_w.csv rename to SurgeData/172-time_w.csv diff --git a/SurgeData/N=1000/172-waterlevel_c.csv b/SurgeData/172-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/172-waterlevel_c.csv rename to SurgeData/172-waterlevel_c.csv diff --git a/SurgeData/N=1000/172-waterlevel_w.csv b/SurgeData/172-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/172-waterlevel_w.csv rename to SurgeData/172-waterlevel_w.csv diff --git a/SurgeData/173-num_storm.csv b/SurgeData/173-num_storm.csv new file mode 100644 index 00000000..1cb020c5 --- /dev/null +++ b/SurgeData/173-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,2.0 +2022,0.0,5.0 +2023,2.0,8.0 +2024,1.0,2.0 +2025,1.0,2.0 +2026,1.0,4.0 +2027,2.0,7.0 +2028,1.0,3.0 +2029,2.0,6.0 +2030,2.0,3.0 +2031,2.0,3.0 +2032,2.0,8.0 +2033,0.0,6.0 +2034,1.0,3.0 +2035,1.0,3.0 +2036,0.0,3.0 +2037,2.0,5.0 +2038,1.0,3.0 +2039,3.0,5.0 +2040,4.0,5.0 +2041,2.0,2.0 +2042,2.0,0.0 +2043,2.0,3.0 +2044,1.0,0.0 +2045,2.0,5.0 +2046,3.0,5.0 +2047,1.0,1.0 +2048,1.0,5.0 +2049,0.0,2.0 +2050,1.0,3.0 +2051,1.0,7.0 +2052,2.0,4.0 +2053,2.0,5.0 +2054,3.0,5.0 +2055,1.0,3.0 +2056,0.0,3.0 +2057,0.0,3.0 +2058,1.0,7.0 +2059,1.0,2.0 +2060,1.0,1.0 +2061,1.0,8.0 +2062,1.0,3.0 +2063,2.0,2.0 +2064,2.0,8.0 +2065,0.0,2.0 +2066,1.0,5.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,1.0,4.0 +2070,0.0,2.0 +2071,2.0,1.0 +2072,1.0,1.0 +2073,0.0,4.0 +2074,1.0,4.0 +2075,3.0,3.0 +2076,0.0,2.0 +2077,4.0,2.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,4.0,3.0 +2081,1.0,4.0 +2082,2.0,2.0 +2083,3.0,5.0 +2084,1.0,1.0 +2085,1.0,2.0 +2086,2.0,1.0 +2087,1.0,4.0 +2088,1.0,2.0 +2089,1.0,2.0 +2090,1.0,3.0 +2091,2.0,8.0 +2092,0.0,1.0 +2093,0.0,5.0 +2094,3.0,6.0 +2095,0.0,8.0 +2096,3.0,1.0 +2097,1.0,2.0 +2098,0.0,3.0 +2099,1.0,6.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/173-peak+year_c.csv b/SurgeData/173-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/173-peak+year_c.csv rename to SurgeData/173-peak+year_c.csv diff --git a/SurgeData/N=1000/173-peak+year_w.csv b/SurgeData/173-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/173-peak+year_w.csv rename to SurgeData/173-peak+year_w.csv diff --git a/SurgeData/N=1000/173-peak_c.csv b/SurgeData/173-peak_c.csv similarity index 100% rename from SurgeData/N=1000/173-peak_c.csv rename to SurgeData/173-peak_c.csv diff --git a/SurgeData/N=1000/173-peak_w.csv b/SurgeData/173-peak_w.csv similarity index 100% rename from SurgeData/N=1000/173-peak_w.csv rename to SurgeData/173-peak_w.csv diff --git a/SurgeData/N=1000/173-surge_c.csv b/SurgeData/173-surge_c.csv similarity index 100% rename from SurgeData/N=1000/173-surge_c.csv rename to SurgeData/173-surge_c.csv diff --git a/SurgeData/N=1000/173-surge_w.csv b/SurgeData/173-surge_w.csv similarity index 100% rename from SurgeData/N=1000/173-surge_w.csv rename to SurgeData/173-surge_w.csv diff --git a/SurgeData/N=1000/173-time_c.csv b/SurgeData/173-time_c.csv similarity index 100% rename from SurgeData/N=1000/173-time_c.csv rename to SurgeData/173-time_c.csv diff --git a/SurgeData/N=1000/173-time_w.csv b/SurgeData/173-time_w.csv similarity index 100% rename from SurgeData/N=1000/173-time_w.csv rename to SurgeData/173-time_w.csv diff --git a/SurgeData/N=1000/173-waterlevel_c.csv b/SurgeData/173-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/173-waterlevel_c.csv rename to SurgeData/173-waterlevel_c.csv diff --git a/SurgeData/N=1000/173-waterlevel_w.csv b/SurgeData/173-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/173-waterlevel_w.csv rename to SurgeData/173-waterlevel_w.csv diff --git a/SurgeData/N=1000/174-peak+year_c.csv b/SurgeData/174-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/174-peak+year_c.csv rename to SurgeData/174-peak+year_c.csv diff --git a/SurgeData/N=1000/174-peak+year_w.csv b/SurgeData/174-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/174-peak+year_w.csv rename to SurgeData/174-peak+year_w.csv diff --git a/SurgeData/N=1000/174-peak_c.csv b/SurgeData/174-peak_c.csv similarity index 100% rename from SurgeData/N=1000/174-peak_c.csv rename to SurgeData/174-peak_c.csv diff --git a/SurgeData/N=1000/174-peak_w.csv b/SurgeData/174-peak_w.csv similarity index 100% rename from SurgeData/N=1000/174-peak_w.csv rename to SurgeData/174-peak_w.csv diff --git a/SurgeData/N=1000/174-surge_c.csv b/SurgeData/174-surge_c.csv similarity index 100% rename from SurgeData/N=1000/174-surge_c.csv rename to SurgeData/174-surge_c.csv diff --git a/SurgeData/N=1000/174-surge_w.csv b/SurgeData/174-surge_w.csv similarity index 100% rename from SurgeData/N=1000/174-surge_w.csv rename to SurgeData/174-surge_w.csv diff --git a/SurgeData/N=1000/174-time_c.csv b/SurgeData/174-time_c.csv similarity index 100% rename from SurgeData/N=1000/174-time_c.csv rename to SurgeData/174-time_c.csv diff --git a/SurgeData/N=1000/174-time_w.csv b/SurgeData/174-time_w.csv similarity index 100% rename from SurgeData/N=1000/174-time_w.csv rename to SurgeData/174-time_w.csv diff --git a/SurgeData/N=1000/174-waterlevel_c.csv b/SurgeData/174-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/174-waterlevel_c.csv rename to SurgeData/174-waterlevel_c.csv diff --git a/SurgeData/N=1000/174-waterlevel_w.csv b/SurgeData/174-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/174-waterlevel_w.csv rename to SurgeData/174-waterlevel_w.csv diff --git a/SurgeData/175-num_storm.csv b/SurgeData/175-num_storm.csv new file mode 100644 index 00000000..76163423 --- /dev/null +++ b/SurgeData/175-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,6.0 +2022,0.0,1.0 +2023,3.0,2.0 +2024,0.0,5.0 +2025,2.0,6.0 +2026,0.0,2.0 +2027,3.0,5.0 +2028,4.0,4.0 +2029,1.0,2.0 +2030,1.0,4.0 +2031,3.0,2.0 +2032,2.0,5.0 +2033,1.0,2.0 +2034,2.0,3.0 +2035,3.0,2.0 +2036,5.0,6.0 +2037,1.0,6.0 +2038,2.0,4.0 +2039,1.0,1.0 +2040,1.0,1.0 +2041,1.0,3.0 +2042,0.0,4.0 +2043,1.0,3.0 +2044,3.0,5.0 +2045,1.0,8.0 +2046,0.0,1.0 +2047,1.0,4.0 +2048,3.0,5.0 +2049,2.0,6.0 +2050,0.0,5.0 +2051,2.0,3.0 +2052,0.0,3.0 +2053,3.0,1.0 +2054,4.0,1.0 +2055,1.0,2.0 +2056,1.0,7.0 +2057,1.0,3.0 +2058,2.0,3.0 +2059,1.0,6.0 +2060,2.0,3.0 +2061,2.0,3.0 +2062,2.0,4.0 +2063,1.0,5.0 +2064,1.0,3.0 +2065,2.0,4.0 +2066,0.0,4.0 +2067,1.0,4.0 +2068,2.0,7.0 +2069,2.0,5.0 +2070,1.0,4.0 +2071,3.0,4.0 +2072,0.0,1.0 +2073,1.0,9.0 +2074,1.0,5.0 +2075,0.0,6.0 +2076,2.0,7.0 +2077,1.0,3.0 +2078,3.0,8.0 +2079,2.0,1.0 +2080,2.0,3.0 +2081,0.0,4.0 +2082,3.0,2.0 +2083,2.0,2.0 +2084,0.0,5.0 +2085,1.0,5.0 +2086,1.0,2.0 +2087,3.0,7.0 +2088,1.0,3.0 +2089,4.0,3.0 +2090,2.0,8.0 +2091,1.0,3.0 +2092,3.0,4.0 +2093,0.0,5.0 +2094,3.0,2.0 +2095,1.0,5.0 +2096,0.0,2.0 +2097,2.0,2.0 +2098,2.0,3.0 +2099,2.0,4.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/175-peak+year_c.csv b/SurgeData/175-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/175-peak+year_c.csv rename to SurgeData/175-peak+year_c.csv diff --git a/SurgeData/N=1000/175-peak+year_w.csv b/SurgeData/175-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/175-peak+year_w.csv rename to SurgeData/175-peak+year_w.csv diff --git a/SurgeData/N=1000/175-peak_c.csv b/SurgeData/175-peak_c.csv similarity index 100% rename from SurgeData/N=1000/175-peak_c.csv rename to SurgeData/175-peak_c.csv diff --git a/SurgeData/N=1000/175-peak_w.csv b/SurgeData/175-peak_w.csv similarity index 100% rename from SurgeData/N=1000/175-peak_w.csv rename to SurgeData/175-peak_w.csv diff --git a/SurgeData/N=1000/175-surge_c.csv b/SurgeData/175-surge_c.csv similarity index 100% rename from SurgeData/N=1000/175-surge_c.csv rename to SurgeData/175-surge_c.csv diff --git a/SurgeData/N=1000/175-surge_w.csv b/SurgeData/175-surge_w.csv similarity index 100% rename from SurgeData/N=1000/175-surge_w.csv rename to SurgeData/175-surge_w.csv diff --git a/SurgeData/N=1000/175-time_c.csv b/SurgeData/175-time_c.csv similarity index 100% rename from SurgeData/N=1000/175-time_c.csv rename to SurgeData/175-time_c.csv diff --git a/SurgeData/N=1000/175-time_w.csv b/SurgeData/175-time_w.csv similarity index 100% rename from SurgeData/N=1000/175-time_w.csv rename to SurgeData/175-time_w.csv diff --git a/SurgeData/N=1000/175-waterlevel_c.csv b/SurgeData/175-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/175-waterlevel_c.csv rename to SurgeData/175-waterlevel_c.csv diff --git a/SurgeData/N=1000/175-waterlevel_w.csv b/SurgeData/175-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/175-waterlevel_w.csv rename to SurgeData/175-waterlevel_w.csv diff --git a/SurgeData/176-num_storm.csv b/SurgeData/176-num_storm.csv new file mode 100644 index 00000000..29153f21 --- /dev/null +++ b/SurgeData/176-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,7.0 +2022,3.0,0.0 +2023,1.0,4.0 +2024,1.0,5.0 +2025,2.0,4.0 +2026,2.0,2.0 +2027,1.0,3.0 +2028,2.0,3.0 +2029,1.0,7.0 +2030,5.0,4.0 +2031,3.0,4.0 +2032,0.0,5.0 +2033,4.0,5.0 +2034,0.0,3.0 +2035,1.0,3.0 +2036,0.0,2.0 +2037,0.0,2.0 +2038,2.0,8.0 +2039,2.0,0.0 +2040,1.0,5.0 +2041,1.0,4.0 +2042,3.0,3.0 +2043,0.0,3.0 +2044,0.0,5.0 +2045,4.0,4.0 +2046,1.0,6.0 +2047,1.0,2.0 +2048,0.0,7.0 +2049,4.0,2.0 +2050,2.0,6.0 +2051,3.0,2.0 +2052,2.0,3.0 +2053,1.0,8.0 +2054,1.0,3.0 +2055,1.0,6.0 +2056,1.0,6.0 +2057,3.0,2.0 +2058,2.0,4.0 +2059,1.0,2.0 +2060,1.0,5.0 +2061,1.0,5.0 +2062,2.0,6.0 +2063,3.0,3.0 +2064,1.0,5.0 +2065,1.0,8.0 +2066,0.0,2.0 +2067,3.0,1.0 +2068,1.0,4.0 +2069,1.0,6.0 +2070,2.0,2.0 +2071,0.0,3.0 +2072,1.0,1.0 +2073,0.0,7.0 +2074,1.0,6.0 +2075,1.0,4.0 +2076,0.0,4.0 +2077,1.0,2.0 +2078,0.0,5.0 +2079,0.0,7.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,0.0,7.0 +2083,3.0,6.0 +2084,0.0,7.0 +2085,0.0,2.0 +2086,4.0,4.0 +2087,2.0,2.0 +2088,2.0,2.0 +2089,1.0,2.0 +2090,2.0,3.0 +2091,3.0,6.0 +2092,2.0,2.0 +2093,1.0,0.0 +2094,7.0,1.0 +2095,1.0,5.0 +2096,0.0,2.0 +2097,0.0,4.0 +2098,1.0,6.0 +2099,0.0,5.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/176-peak+year_c.csv b/SurgeData/176-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/176-peak+year_c.csv rename to SurgeData/176-peak+year_c.csv diff --git a/SurgeData/N=1000/176-peak+year_w.csv b/SurgeData/176-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/176-peak+year_w.csv rename to SurgeData/176-peak+year_w.csv diff --git a/SurgeData/N=1000/176-peak_c.csv b/SurgeData/176-peak_c.csv similarity index 100% rename from SurgeData/N=1000/176-peak_c.csv rename to SurgeData/176-peak_c.csv diff --git a/SurgeData/N=1000/176-peak_w.csv b/SurgeData/176-peak_w.csv similarity index 100% rename from SurgeData/N=1000/176-peak_w.csv rename to SurgeData/176-peak_w.csv diff --git a/SurgeData/N=1000/176-surge_c.csv b/SurgeData/176-surge_c.csv similarity index 100% rename from SurgeData/N=1000/176-surge_c.csv rename to SurgeData/176-surge_c.csv diff --git a/SurgeData/N=1000/176-surge_w.csv b/SurgeData/176-surge_w.csv similarity index 100% rename from SurgeData/N=1000/176-surge_w.csv rename to SurgeData/176-surge_w.csv diff --git a/SurgeData/N=1000/176-time_c.csv b/SurgeData/176-time_c.csv similarity index 100% rename from SurgeData/N=1000/176-time_c.csv rename to SurgeData/176-time_c.csv diff --git a/SurgeData/N=1000/176-time_w.csv b/SurgeData/176-time_w.csv similarity index 100% rename from SurgeData/N=1000/176-time_w.csv rename to SurgeData/176-time_w.csv diff --git a/SurgeData/N=1000/176-waterlevel_c.csv b/SurgeData/176-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/176-waterlevel_c.csv rename to SurgeData/176-waterlevel_c.csv diff --git a/SurgeData/N=1000/176-waterlevel_w.csv b/SurgeData/176-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/176-waterlevel_w.csv rename to SurgeData/176-waterlevel_w.csv diff --git a/SurgeData/177-num_storm.csv b/SurgeData/177-num_storm.csv new file mode 100644 index 00000000..71710127 --- /dev/null +++ b/SurgeData/177-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,7.0 +2022,2.0,4.0 +2023,1.0,1.0 +2024,0.0,4.0 +2025,1.0,5.0 +2026,4.0,7.0 +2027,1.0,4.0 +2028,2.0,3.0 +2029,0.0,6.0 +2030,2.0,6.0 +2031,0.0,3.0 +2032,0.0,5.0 +2033,2.0,4.0 +2034,2.0,8.0 +2035,3.0,2.0 +2036,0.0,2.0 +2037,1.0,6.0 +2038,2.0,7.0 +2039,0.0,3.0 +2040,0.0,6.0 +2041,1.0,5.0 +2042,0.0,3.0 +2043,2.0,4.0 +2044,2.0,5.0 +2045,2.0,0.0 +2046,2.0,3.0 +2047,0.0,6.0 +2048,1.0,3.0 +2049,2.0,4.0 +2050,0.0,5.0 +2051,1.0,10.0 +2052,1.0,6.0 +2053,2.0,4.0 +2054,3.0,6.0 +2055,2.0,7.0 +2056,0.0,2.0 +2057,2.0,5.0 +2058,1.0,4.0 +2059,3.0,2.0 +2060,1.0,7.0 +2061,2.0,11.0 +2062,0.0,5.0 +2063,0.0,4.0 +2064,4.0,4.0 +2065,0.0,6.0 +2066,2.0,11.0 +2067,0.0,5.0 +2068,3.0,2.0 +2069,5.0,2.0 +2070,2.0,6.0 +2071,2.0,0.0 +2072,1.0,1.0 +2073,1.0,8.0 +2074,4.0,3.0 +2075,3.0,5.0 +2076,1.0,1.0 +2077,2.0,5.0 +2078,3.0,3.0 +2079,2.0,8.0 +2080,0.0,3.0 +2081,0.0,4.0 +2082,1.0,9.0 +2083,4.0,7.0 +2084,1.0,3.0 +2085,0.0,5.0 +2086,1.0,8.0 +2087,3.0,4.0 +2088,3.0,2.0 +2089,2.0,4.0 +2090,2.0,5.0 +2091,5.0,3.0 +2092,1.0,4.0 +2093,1.0,6.0 +2094,0.0,6.0 +2095,1.0,2.0 +2096,3.0,4.0 +2097,0.0,5.0 +2098,4.0,1.0 +2099,3.0,6.0 +2100,4.0,4.0 diff --git a/SurgeData/N=1000/177-peak+year_c.csv b/SurgeData/177-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/177-peak+year_c.csv rename to SurgeData/177-peak+year_c.csv diff --git a/SurgeData/N=1000/177-peak+year_w.csv b/SurgeData/177-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/177-peak+year_w.csv rename to SurgeData/177-peak+year_w.csv diff --git a/SurgeData/N=1000/177-peak_c.csv b/SurgeData/177-peak_c.csv similarity index 100% rename from SurgeData/N=1000/177-peak_c.csv rename to SurgeData/177-peak_c.csv diff --git a/SurgeData/N=1000/177-peak_w.csv b/SurgeData/177-peak_w.csv similarity index 100% rename from SurgeData/N=1000/177-peak_w.csv rename to SurgeData/177-peak_w.csv diff --git a/SurgeData/N=1000/177-surge_c.csv b/SurgeData/177-surge_c.csv similarity index 100% rename from SurgeData/N=1000/177-surge_c.csv rename to SurgeData/177-surge_c.csv diff --git a/SurgeData/N=1000/177-surge_w.csv b/SurgeData/177-surge_w.csv similarity index 100% rename from SurgeData/N=1000/177-surge_w.csv rename to SurgeData/177-surge_w.csv diff --git a/SurgeData/N=1000/177-time_c.csv b/SurgeData/177-time_c.csv similarity index 100% rename from SurgeData/N=1000/177-time_c.csv rename to SurgeData/177-time_c.csv diff --git a/SurgeData/N=1000/177-time_w.csv b/SurgeData/177-time_w.csv similarity index 100% rename from SurgeData/N=1000/177-time_w.csv rename to SurgeData/177-time_w.csv diff --git a/SurgeData/N=1000/177-waterlevel_c.csv b/SurgeData/177-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/177-waterlevel_c.csv rename to SurgeData/177-waterlevel_c.csv diff --git a/SurgeData/N=1000/177-waterlevel_w.csv b/SurgeData/177-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/177-waterlevel_w.csv rename to SurgeData/177-waterlevel_w.csv diff --git a/SurgeData/178-num_storm.csv b/SurgeData/178-num_storm.csv new file mode 100644 index 00000000..922f3d9f --- /dev/null +++ b/SurgeData/178-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,0.0,5.0 +2022,1.0,5.0 +2023,4.0,2.0 +2024,2.0,1.0 +2025,0.0,3.0 +2026,3.0,3.0 +2027,1.0,3.0 +2028,0.0,5.0 +2029,1.0,6.0 +2030,2.0,1.0 +2031,1.0,3.0 +2032,2.0,6.0 +2033,3.0,6.0 +2034,1.0,2.0 +2035,0.0,3.0 +2036,2.0,2.0 +2037,1.0,3.0 +2038,3.0,8.0 +2039,0.0,3.0 +2040,0.0,3.0 +2041,3.0,6.0 +2042,2.0,1.0 +2043,1.0,8.0 +2044,3.0,3.0 +2045,1.0,6.0 +2046,1.0,5.0 +2047,0.0,4.0 +2048,1.0,3.0 +2049,2.0,5.0 +2050,0.0,8.0 +2051,1.0,4.0 +2052,3.0,10.0 +2053,2.0,5.0 +2054,0.0,2.0 +2055,3.0,2.0 +2056,3.0,3.0 +2057,0.0,2.0 +2058,1.0,7.0 +2059,0.0,1.0 +2060,2.0,10.0 +2061,0.0,5.0 +2062,1.0,2.0 +2063,0.0,4.0 +2064,2.0,2.0 +2065,3.0,7.0 +2066,1.0,7.0 +2067,5.0,2.0 +2068,0.0,3.0 +2069,1.0,8.0 +2070,2.0,7.0 +2071,1.0,5.0 +2072,3.0,5.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,1.0,6.0 +2076,4.0,7.0 +2077,0.0,4.0 +2078,2.0,5.0 +2079,4.0,4.0 +2080,1.0,2.0 +2081,1.0,7.0 +2082,0.0,3.0 +2083,0.0,7.0 +2084,0.0,3.0 +2085,3.0,5.0 +2086,2.0,3.0 +2087,1.0,1.0 +2088,1.0,8.0 +2089,2.0,4.0 +2090,2.0,5.0 +2091,1.0,2.0 +2092,1.0,4.0 +2093,3.0,6.0 +2094,2.0,7.0 +2095,2.0,4.0 +2096,2.0,1.0 +2097,1.0,1.0 +2098,1.0,5.0 +2099,0.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/178-peak+year_c.csv b/SurgeData/178-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/178-peak+year_c.csv rename to SurgeData/178-peak+year_c.csv diff --git a/SurgeData/N=1000/178-peak+year_w.csv b/SurgeData/178-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/178-peak+year_w.csv rename to SurgeData/178-peak+year_w.csv diff --git a/SurgeData/N=1000/178-peak_c.csv b/SurgeData/178-peak_c.csv similarity index 100% rename from SurgeData/N=1000/178-peak_c.csv rename to SurgeData/178-peak_c.csv diff --git a/SurgeData/N=1000/178-peak_w.csv b/SurgeData/178-peak_w.csv similarity index 100% rename from SurgeData/N=1000/178-peak_w.csv rename to SurgeData/178-peak_w.csv diff --git a/SurgeData/N=1000/178-surge_c.csv b/SurgeData/178-surge_c.csv similarity index 100% rename from SurgeData/N=1000/178-surge_c.csv rename to SurgeData/178-surge_c.csv diff --git a/SurgeData/N=1000/178-surge_w.csv b/SurgeData/178-surge_w.csv similarity index 100% rename from SurgeData/N=1000/178-surge_w.csv rename to SurgeData/178-surge_w.csv diff --git a/SurgeData/N=1000/178-time_c.csv b/SurgeData/178-time_c.csv similarity index 100% rename from SurgeData/N=1000/178-time_c.csv rename to SurgeData/178-time_c.csv diff --git a/SurgeData/N=1000/178-time_w.csv b/SurgeData/178-time_w.csv similarity index 100% rename from SurgeData/N=1000/178-time_w.csv rename to SurgeData/178-time_w.csv diff --git a/SurgeData/N=1000/178-waterlevel_c.csv b/SurgeData/178-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/178-waterlevel_c.csv rename to SurgeData/178-waterlevel_c.csv diff --git a/SurgeData/N=1000/178-waterlevel_w.csv b/SurgeData/178-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/178-waterlevel_w.csv rename to SurgeData/178-waterlevel_w.csv diff --git a/SurgeData/179-num_storm.csv b/SurgeData/179-num_storm.csv new file mode 100644 index 00000000..12723982 --- /dev/null +++ b/SurgeData/179-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,3.0 +2022,2.0,7.0 +2023,4.0,5.0 +2024,2.0,1.0 +2025,1.0,4.0 +2026,1.0,9.0 +2027,1.0,4.0 +2028,0.0,8.0 +2029,2.0,5.0 +2030,1.0,4.0 +2031,2.0,1.0 +2032,1.0,5.0 +2033,2.0,4.0 +2034,1.0,3.0 +2035,5.0,7.0 +2036,5.0,0.0 +2037,1.0,6.0 +2038,3.0,2.0 +2039,2.0,4.0 +2040,2.0,3.0 +2041,4.0,2.0 +2042,3.0,1.0 +2043,1.0,3.0 +2044,3.0,2.0 +2045,1.0,6.0 +2046,2.0,3.0 +2047,3.0,3.0 +2048,2.0,4.0 +2049,3.0,1.0 +2050,2.0,4.0 +2051,2.0,3.0 +2052,2.0,2.0 +2053,3.0,0.0 +2054,1.0,5.0 +2055,1.0,5.0 +2056,1.0,1.0 +2057,3.0,4.0 +2058,0.0,9.0 +2059,1.0,4.0 +2060,0.0,5.0 +2061,3.0,4.0 +2062,1.0,2.0 +2063,3.0,2.0 +2064,4.0,4.0 +2065,0.0,3.0 +2066,2.0,2.0 +2067,0.0,4.0 +2068,3.0,6.0 +2069,1.0,4.0 +2070,1.0,4.0 +2071,1.0,11.0 +2072,1.0,4.0 +2073,2.0,4.0 +2074,0.0,4.0 +2075,6.0,4.0 +2076,0.0,5.0 +2077,4.0,5.0 +2078,0.0,4.0 +2079,2.0,1.0 +2080,2.0,1.0 +2081,0.0,4.0 +2082,1.0,6.0 +2083,0.0,3.0 +2084,2.0,5.0 +2085,5.0,11.0 +2086,1.0,3.0 +2087,1.0,2.0 +2088,2.0,5.0 +2089,1.0,3.0 +2090,0.0,3.0 +2091,1.0,4.0 +2092,2.0,7.0 +2093,1.0,5.0 +2094,0.0,3.0 +2095,4.0,5.0 +2096,2.0,2.0 +2097,2.0,4.0 +2098,3.0,5.0 +2099,0.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/179-peak+year_c.csv b/SurgeData/179-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/179-peak+year_c.csv rename to SurgeData/179-peak+year_c.csv diff --git a/SurgeData/N=1000/179-peak+year_w.csv b/SurgeData/179-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/179-peak+year_w.csv rename to SurgeData/179-peak+year_w.csv diff --git a/SurgeData/N=1000/179-peak_c.csv b/SurgeData/179-peak_c.csv similarity index 100% rename from SurgeData/N=1000/179-peak_c.csv rename to SurgeData/179-peak_c.csv diff --git a/SurgeData/N=1000/179-peak_w.csv b/SurgeData/179-peak_w.csv similarity index 100% rename from SurgeData/N=1000/179-peak_w.csv rename to SurgeData/179-peak_w.csv diff --git a/SurgeData/N=1000/179-surge_c.csv b/SurgeData/179-surge_c.csv similarity index 100% rename from SurgeData/N=1000/179-surge_c.csv rename to SurgeData/179-surge_c.csv diff --git a/SurgeData/N=1000/179-surge_w.csv b/SurgeData/179-surge_w.csv similarity index 100% rename from SurgeData/N=1000/179-surge_w.csv rename to SurgeData/179-surge_w.csv diff --git a/SurgeData/N=1000/179-time_c.csv b/SurgeData/179-time_c.csv similarity index 100% rename from SurgeData/N=1000/179-time_c.csv rename to SurgeData/179-time_c.csv diff --git a/SurgeData/N=1000/179-time_w.csv b/SurgeData/179-time_w.csv similarity index 100% rename from SurgeData/N=1000/179-time_w.csv rename to SurgeData/179-time_w.csv diff --git a/SurgeData/N=1000/179-waterlevel_c.csv b/SurgeData/179-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/179-waterlevel_c.csv rename to SurgeData/179-waterlevel_c.csv diff --git a/SurgeData/N=1000/179-waterlevel_w.csv b/SurgeData/179-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/179-waterlevel_w.csv rename to SurgeData/179-waterlevel_w.csv diff --git a/SurgeData/18-num_storm.csv b/SurgeData/18-num_storm.csv new file mode 100644 index 00000000..ce4f753e --- /dev/null +++ b/SurgeData/18-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,2.0 +2022,0.0,4.0 +2023,1.0,7.0 +2024,0.0,4.0 +2025,3.0,1.0 +2026,0.0,4.0 +2027,1.0,2.0 +2028,1.0,2.0 +2029,3.0,4.0 +2030,1.0,1.0 +2031,3.0,3.0 +2032,3.0,6.0 +2033,2.0,3.0 +2034,2.0,4.0 +2035,0.0,3.0 +2036,3.0,12.0 +2037,3.0,3.0 +2038,2.0,6.0 +2039,1.0,2.0 +2040,1.0,3.0 +2041,2.0,3.0 +2042,2.0,7.0 +2043,1.0,4.0 +2044,2.0,5.0 +2045,1.0,6.0 +2046,5.0,1.0 +2047,2.0,4.0 +2048,0.0,6.0 +2049,2.0,2.0 +2050,1.0,3.0 +2051,1.0,5.0 +2052,0.0,3.0 +2053,1.0,1.0 +2054,0.0,5.0 +2055,2.0,5.0 +2056,0.0,5.0 +2057,1.0,4.0 +2058,3.0,3.0 +2059,2.0,4.0 +2060,0.0,4.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,1.0,4.0 +2064,0.0,5.0 +2065,1.0,5.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,2.0,4.0 +2069,2.0,1.0 +2070,2.0,4.0 +2071,1.0,3.0 +2072,2.0,1.0 +2073,1.0,8.0 +2074,4.0,2.0 +2075,1.0,4.0 +2076,2.0,5.0 +2077,1.0,4.0 +2078,1.0,5.0 +2079,0.0,3.0 +2080,2.0,1.0 +2081,3.0,4.0 +2082,3.0,3.0 +2083,1.0,7.0 +2084,1.0,1.0 +2085,2.0,2.0 +2086,1.0,5.0 +2087,3.0,6.0 +2088,1.0,8.0 +2089,2.0,8.0 +2090,1.0,3.0 +2091,2.0,2.0 +2092,3.0,4.0 +2093,3.0,5.0 +2094,0.0,3.0 +2095,1.0,5.0 +2096,3.0,2.0 +2097,4.0,2.0 +2098,0.0,7.0 +2099,0.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/18-peak+year_c.csv b/SurgeData/18-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/18-peak+year_c.csv rename to SurgeData/18-peak+year_c.csv diff --git a/SurgeData/N=1000/18-peak+year_w.csv b/SurgeData/18-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/18-peak+year_w.csv rename to SurgeData/18-peak+year_w.csv diff --git a/SurgeData/N=1000/18-peak_c.csv b/SurgeData/18-peak_c.csv similarity index 100% rename from SurgeData/N=1000/18-peak_c.csv rename to SurgeData/18-peak_c.csv diff --git a/SurgeData/N=1000/18-peak_w.csv b/SurgeData/18-peak_w.csv similarity index 100% rename from SurgeData/N=1000/18-peak_w.csv rename to SurgeData/18-peak_w.csv diff --git a/SurgeData/N=1000/18-surge_c.csv b/SurgeData/18-surge_c.csv similarity index 100% rename from SurgeData/N=1000/18-surge_c.csv rename to SurgeData/18-surge_c.csv diff --git a/SurgeData/N=1000/18-surge_w.csv b/SurgeData/18-surge_w.csv similarity index 100% rename from SurgeData/N=1000/18-surge_w.csv rename to SurgeData/18-surge_w.csv diff --git a/SurgeData/N=1000/18-time_c.csv b/SurgeData/18-time_c.csv similarity index 100% rename from SurgeData/N=1000/18-time_c.csv rename to SurgeData/18-time_c.csv diff --git a/SurgeData/N=1000/18-time_w.csv b/SurgeData/18-time_w.csv similarity index 100% rename from SurgeData/N=1000/18-time_w.csv rename to SurgeData/18-time_w.csv diff --git a/SurgeData/N=1000/18-waterlevel_c.csv b/SurgeData/18-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/18-waterlevel_c.csv rename to SurgeData/18-waterlevel_c.csv diff --git a/SurgeData/N=1000/18-waterlevel_w.csv b/SurgeData/18-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/18-waterlevel_w.csv rename to SurgeData/18-waterlevel_w.csv diff --git a/SurgeData/180-num_storm.csv b/SurgeData/180-num_storm.csv new file mode 100644 index 00000000..aa58cdff --- /dev/null +++ b/SurgeData/180-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,3.0,9.0 +2022,1.0,6.0 +2023,2.0,3.0 +2024,0.0,1.0 +2025,1.0,6.0 +2026,1.0,2.0 +2027,2.0,2.0 +2028,3.0,3.0 +2029,0.0,5.0 +2030,0.0,5.0 +2031,1.0,3.0 +2032,0.0,2.0 +2033,0.0,2.0 +2034,3.0,7.0 +2035,1.0,3.0 +2036,5.0,3.0 +2037,2.0,1.0 +2038,2.0,7.0 +2039,3.0,3.0 +2040,2.0,4.0 +2041,1.0,3.0 +2042,0.0,2.0 +2043,2.0,2.0 +2044,3.0,5.0 +2045,3.0,4.0 +2046,3.0,5.0 +2047,2.0,4.0 +2048,2.0,5.0 +2049,2.0,6.0 +2050,2.0,5.0 +2051,1.0,3.0 +2052,3.0,3.0 +2053,2.0,6.0 +2054,1.0,0.0 +2055,3.0,2.0 +2056,0.0,6.0 +2057,2.0,3.0 +2058,1.0,2.0 +2059,2.0,1.0 +2060,1.0,8.0 +2061,3.0,3.0 +2062,2.0,2.0 +2063,1.0,2.0 +2064,1.0,6.0 +2065,2.0,3.0 +2066,0.0,2.0 +2067,0.0,10.0 +2068,2.0,3.0 +2069,2.0,5.0 +2070,1.0,6.0 +2071,4.0,5.0 +2072,1.0,6.0 +2073,0.0,9.0 +2074,0.0,2.0 +2075,1.0,7.0 +2076,5.0,8.0 +2077,2.0,3.0 +2078,3.0,5.0 +2079,3.0,4.0 +2080,1.0,3.0 +2081,2.0,3.0 +2082,1.0,2.0 +2083,4.0,5.0 +2084,0.0,4.0 +2085,1.0,8.0 +2086,2.0,4.0 +2087,1.0,3.0 +2088,1.0,3.0 +2089,1.0,6.0 +2090,1.0,4.0 +2091,1.0,5.0 +2092,3.0,4.0 +2093,3.0,4.0 +2094,2.0,3.0 +2095,2.0,1.0 +2096,0.0,2.0 +2097,4.0,3.0 +2098,2.0,2.0 +2099,2.0,4.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/180-peak+year_c.csv b/SurgeData/180-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/180-peak+year_c.csv rename to SurgeData/180-peak+year_c.csv diff --git a/SurgeData/N=1000/180-peak+year_w.csv b/SurgeData/180-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/180-peak+year_w.csv rename to SurgeData/180-peak+year_w.csv diff --git a/SurgeData/N=1000/180-peak_c.csv b/SurgeData/180-peak_c.csv similarity index 100% rename from SurgeData/N=1000/180-peak_c.csv rename to SurgeData/180-peak_c.csv diff --git a/SurgeData/N=1000/180-peak_w.csv b/SurgeData/180-peak_w.csv similarity index 100% rename from SurgeData/N=1000/180-peak_w.csv rename to SurgeData/180-peak_w.csv diff --git a/SurgeData/N=1000/180-surge_c.csv b/SurgeData/180-surge_c.csv similarity index 100% rename from SurgeData/N=1000/180-surge_c.csv rename to SurgeData/180-surge_c.csv diff --git a/SurgeData/N=1000/180-surge_w.csv b/SurgeData/180-surge_w.csv similarity index 100% rename from SurgeData/N=1000/180-surge_w.csv rename to SurgeData/180-surge_w.csv diff --git a/SurgeData/N=1000/180-time_c.csv b/SurgeData/180-time_c.csv similarity index 100% rename from SurgeData/N=1000/180-time_c.csv rename to SurgeData/180-time_c.csv diff --git a/SurgeData/N=1000/180-time_w.csv b/SurgeData/180-time_w.csv similarity index 100% rename from SurgeData/N=1000/180-time_w.csv rename to SurgeData/180-time_w.csv diff --git a/SurgeData/N=1000/180-waterlevel_c.csv b/SurgeData/180-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/180-waterlevel_c.csv rename to SurgeData/180-waterlevel_c.csv diff --git a/SurgeData/N=1000/180-waterlevel_w.csv b/SurgeData/180-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/180-waterlevel_w.csv rename to SurgeData/180-waterlevel_w.csv diff --git a/SurgeData/181-num_storm.csv b/SurgeData/181-num_storm.csv new file mode 100644 index 00000000..48492e9c --- /dev/null +++ b/SurgeData/181-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,3.0,1.0 +2023,4.0,5.0 +2024,2.0,6.0 +2025,0.0,4.0 +2026,3.0,4.0 +2027,1.0,5.0 +2028,2.0,4.0 +2029,0.0,3.0 +2030,0.0,6.0 +2031,1.0,7.0 +2032,2.0,3.0 +2033,2.0,7.0 +2034,2.0,2.0 +2035,0.0,3.0 +2036,6.0,5.0 +2037,1.0,4.0 +2038,1.0,1.0 +2039,0.0,1.0 +2040,2.0,5.0 +2041,1.0,3.0 +2042,0.0,6.0 +2043,5.0,6.0 +2044,1.0,2.0 +2045,6.0,5.0 +2046,0.0,6.0 +2047,0.0,4.0 +2048,2.0,5.0 +2049,1.0,4.0 +2050,2.0,6.0 +2051,2.0,4.0 +2052,1.0,4.0 +2053,2.0,3.0 +2054,3.0,3.0 +2055,0.0,7.0 +2056,2.0,2.0 +2057,1.0,6.0 +2058,4.0,5.0 +2059,0.0,3.0 +2060,1.0,4.0 +2061,1.0,0.0 +2062,1.0,4.0 +2063,1.0,4.0 +2064,3.0,3.0 +2065,4.0,4.0 +2066,1.0,7.0 +2067,0.0,4.0 +2068,2.0,1.0 +2069,2.0,3.0 +2070,3.0,2.0 +2071,0.0,6.0 +2072,1.0,4.0 +2073,1.0,3.0 +2074,0.0,1.0 +2075,4.0,4.0 +2076,1.0,2.0 +2077,1.0,5.0 +2078,1.0,7.0 +2079,3.0,6.0 +2080,1.0,3.0 +2081,3.0,2.0 +2082,2.0,6.0 +2083,1.0,4.0 +2084,0.0,8.0 +2085,0.0,5.0 +2086,5.0,1.0 +2087,2.0,6.0 +2088,1.0,4.0 +2089,3.0,2.0 +2090,3.0,2.0 +2091,2.0,1.0 +2092,4.0,4.0 +2093,0.0,1.0 +2094,3.0,2.0 +2095,1.0,3.0 +2096,3.0,6.0 +2097,1.0,4.0 +2098,2.0,4.0 +2099,0.0,2.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/181-peak+year_c.csv b/SurgeData/181-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/181-peak+year_c.csv rename to SurgeData/181-peak+year_c.csv diff --git a/SurgeData/N=1000/181-peak+year_w.csv b/SurgeData/181-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/181-peak+year_w.csv rename to SurgeData/181-peak+year_w.csv diff --git a/SurgeData/N=1000/181-peak_c.csv b/SurgeData/181-peak_c.csv similarity index 100% rename from SurgeData/N=1000/181-peak_c.csv rename to SurgeData/181-peak_c.csv diff --git a/SurgeData/N=1000/181-peak_w.csv b/SurgeData/181-peak_w.csv similarity index 100% rename from SurgeData/N=1000/181-peak_w.csv rename to SurgeData/181-peak_w.csv diff --git a/SurgeData/N=1000/181-surge_c.csv b/SurgeData/181-surge_c.csv similarity index 100% rename from SurgeData/N=1000/181-surge_c.csv rename to SurgeData/181-surge_c.csv diff --git a/SurgeData/N=1000/181-surge_w.csv b/SurgeData/181-surge_w.csv similarity index 100% rename from SurgeData/N=1000/181-surge_w.csv rename to SurgeData/181-surge_w.csv diff --git a/SurgeData/N=1000/181-time_c.csv b/SurgeData/181-time_c.csv similarity index 100% rename from SurgeData/N=1000/181-time_c.csv rename to SurgeData/181-time_c.csv diff --git a/SurgeData/N=1000/181-time_w.csv b/SurgeData/181-time_w.csv similarity index 100% rename from SurgeData/N=1000/181-time_w.csv rename to SurgeData/181-time_w.csv diff --git a/SurgeData/N=1000/181-waterlevel_c.csv b/SurgeData/181-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/181-waterlevel_c.csv rename to SurgeData/181-waterlevel_c.csv diff --git a/SurgeData/N=1000/181-waterlevel_w.csv b/SurgeData/181-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/181-waterlevel_w.csv rename to SurgeData/181-waterlevel_w.csv diff --git a/SurgeData/182-num_storm.csv b/SurgeData/182-num_storm.csv new file mode 100644 index 00000000..6c8a72be --- /dev/null +++ b/SurgeData/182-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,10.0 +2021,1.0,5.0 +2022,0.0,4.0 +2023,2.0,6.0 +2024,0.0,2.0 +2025,2.0,2.0 +2026,2.0,4.0 +2027,2.0,1.0 +2028,2.0,5.0 +2029,0.0,5.0 +2030,1.0,6.0 +2031,2.0,4.0 +2032,0.0,1.0 +2033,1.0,8.0 +2034,1.0,5.0 +2035,1.0,5.0 +2036,0.0,5.0 +2037,0.0,1.0 +2038,5.0,4.0 +2039,3.0,4.0 +2040,1.0,4.0 +2041,3.0,5.0 +2042,2.0,6.0 +2043,1.0,6.0 +2044,1.0,3.0 +2045,1.0,3.0 +2046,1.0,5.0 +2047,3.0,1.0 +2048,0.0,5.0 +2049,0.0,3.0 +2050,1.0,7.0 +2051,2.0,4.0 +2052,2.0,2.0 +2053,1.0,5.0 +2054,0.0,2.0 +2055,3.0,5.0 +2056,2.0,4.0 +2057,0.0,1.0 +2058,1.0,5.0 +2059,0.0,3.0 +2060,1.0,2.0 +2061,4.0,2.0 +2062,2.0,3.0 +2063,1.0,5.0 +2064,2.0,6.0 +2065,2.0,6.0 +2066,0.0,7.0 +2067,2.0,2.0 +2068,0.0,2.0 +2069,1.0,7.0 +2070,4.0,2.0 +2071,1.0,6.0 +2072,0.0,3.0 +2073,4.0,2.0 +2074,1.0,4.0 +2075,0.0,4.0 +2076,1.0,1.0 +2077,2.0,0.0 +2078,1.0,5.0 +2079,2.0,1.0 +2080,2.0,2.0 +2081,2.0,3.0 +2082,0.0,5.0 +2083,3.0,5.0 +2084,1.0,8.0 +2085,5.0,2.0 +2086,2.0,5.0 +2087,2.0,5.0 +2088,1.0,6.0 +2089,1.0,4.0 +2090,2.0,5.0 +2091,5.0,3.0 +2092,2.0,6.0 +2093,2.0,6.0 +2094,1.0,1.0 +2095,2.0,5.0 +2096,1.0,4.0 +2097,2.0,7.0 +2098,0.0,5.0 +2099,1.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/182-peak+year_c.csv b/SurgeData/182-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/182-peak+year_c.csv rename to SurgeData/182-peak+year_c.csv diff --git a/SurgeData/N=1000/182-peak+year_w.csv b/SurgeData/182-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/182-peak+year_w.csv rename to SurgeData/182-peak+year_w.csv diff --git a/SurgeData/N=1000/182-peak_c.csv b/SurgeData/182-peak_c.csv similarity index 100% rename from SurgeData/N=1000/182-peak_c.csv rename to SurgeData/182-peak_c.csv diff --git a/SurgeData/N=1000/182-peak_w.csv b/SurgeData/182-peak_w.csv similarity index 100% rename from SurgeData/N=1000/182-peak_w.csv rename to SurgeData/182-peak_w.csv diff --git a/SurgeData/N=1000/182-surge_c.csv b/SurgeData/182-surge_c.csv similarity index 100% rename from SurgeData/N=1000/182-surge_c.csv rename to SurgeData/182-surge_c.csv diff --git a/SurgeData/N=1000/182-surge_w.csv b/SurgeData/182-surge_w.csv similarity index 100% rename from SurgeData/N=1000/182-surge_w.csv rename to SurgeData/182-surge_w.csv diff --git a/SurgeData/N=1000/182-time_c.csv b/SurgeData/182-time_c.csv similarity index 100% rename from SurgeData/N=1000/182-time_c.csv rename to SurgeData/182-time_c.csv diff --git a/SurgeData/N=1000/182-time_w.csv b/SurgeData/182-time_w.csv similarity index 100% rename from SurgeData/N=1000/182-time_w.csv rename to SurgeData/182-time_w.csv diff --git a/SurgeData/N=1000/182-waterlevel_c.csv b/SurgeData/182-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/182-waterlevel_c.csv rename to SurgeData/182-waterlevel_c.csv diff --git a/SurgeData/N=1000/182-waterlevel_w.csv b/SurgeData/182-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/182-waterlevel_w.csv rename to SurgeData/182-waterlevel_w.csv diff --git a/SurgeData/183-num_storm.csv b/SurgeData/183-num_storm.csv new file mode 100644 index 00000000..ff727e52 --- /dev/null +++ b/SurgeData/183-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,3.0,3.0 +2022,2.0,5.0 +2023,2.0,3.0 +2024,3.0,8.0 +2025,1.0,5.0 +2026,1.0,2.0 +2027,1.0,5.0 +2028,2.0,0.0 +2029,1.0,2.0 +2030,0.0,9.0 +2031,3.0,2.0 +2032,3.0,5.0 +2033,1.0,5.0 +2034,2.0,5.0 +2035,1.0,2.0 +2036,1.0,4.0 +2037,1.0,3.0 +2038,1.0,4.0 +2039,1.0,0.0 +2040,2.0,5.0 +2041,3.0,1.0 +2042,3.0,2.0 +2043,0.0,3.0 +2044,3.0,6.0 +2045,1.0,3.0 +2046,0.0,5.0 +2047,0.0,1.0 +2048,2.0,2.0 +2049,2.0,3.0 +2050,1.0,4.0 +2051,1.0,5.0 +2052,1.0,2.0 +2053,2.0,8.0 +2054,1.0,4.0 +2055,6.0,3.0 +2056,0.0,4.0 +2057,1.0,9.0 +2058,1.0,5.0 +2059,0.0,3.0 +2060,1.0,3.0 +2061,0.0,4.0 +2062,2.0,4.0 +2063,2.0,4.0 +2064,1.0,2.0 +2065,2.0,2.0 +2066,0.0,3.0 +2067,1.0,5.0 +2068,1.0,1.0 +2069,2.0,4.0 +2070,0.0,2.0 +2071,2.0,4.0 +2072,1.0,8.0 +2073,2.0,3.0 +2074,0.0,2.0 +2075,0.0,4.0 +2076,2.0,6.0 +2077,2.0,7.0 +2078,0.0,3.0 +2079,3.0,4.0 +2080,2.0,5.0 +2081,0.0,5.0 +2082,1.0,6.0 +2083,0.0,3.0 +2084,2.0,2.0 +2085,2.0,3.0 +2086,1.0,4.0 +2087,2.0,8.0 +2088,1.0,5.0 +2089,0.0,2.0 +2090,0.0,5.0 +2091,3.0,5.0 +2092,1.0,9.0 +2093,1.0,3.0 +2094,2.0,4.0 +2095,3.0,9.0 +2096,1.0,4.0 +2097,0.0,2.0 +2098,3.0,3.0 +2099,0.0,5.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/183-peak+year_c.csv b/SurgeData/183-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/183-peak+year_c.csv rename to SurgeData/183-peak+year_c.csv diff --git a/SurgeData/N=1000/183-peak+year_w.csv b/SurgeData/183-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/183-peak+year_w.csv rename to SurgeData/183-peak+year_w.csv diff --git a/SurgeData/N=1000/183-peak_c.csv b/SurgeData/183-peak_c.csv similarity index 100% rename from SurgeData/N=1000/183-peak_c.csv rename to SurgeData/183-peak_c.csv diff --git a/SurgeData/N=1000/183-peak_w.csv b/SurgeData/183-peak_w.csv similarity index 100% rename from SurgeData/N=1000/183-peak_w.csv rename to SurgeData/183-peak_w.csv diff --git a/SurgeData/N=1000/183-surge_c.csv b/SurgeData/183-surge_c.csv similarity index 100% rename from SurgeData/N=1000/183-surge_c.csv rename to SurgeData/183-surge_c.csv diff --git a/SurgeData/N=1000/183-surge_w.csv b/SurgeData/183-surge_w.csv similarity index 100% rename from SurgeData/N=1000/183-surge_w.csv rename to SurgeData/183-surge_w.csv diff --git a/SurgeData/N=1000/183-time_c.csv b/SurgeData/183-time_c.csv similarity index 100% rename from SurgeData/N=1000/183-time_c.csv rename to SurgeData/183-time_c.csv diff --git a/SurgeData/N=1000/183-time_w.csv b/SurgeData/183-time_w.csv similarity index 100% rename from SurgeData/N=1000/183-time_w.csv rename to SurgeData/183-time_w.csv diff --git a/SurgeData/N=1000/183-waterlevel_c.csv b/SurgeData/183-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/183-waterlevel_c.csv rename to SurgeData/183-waterlevel_c.csv diff --git a/SurgeData/N=1000/183-waterlevel_w.csv b/SurgeData/183-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/183-waterlevel_w.csv rename to SurgeData/183-waterlevel_w.csv diff --git a/SurgeData/184-num_storm.csv b/SurgeData/184-num_storm.csv new file mode 100644 index 00000000..4b2ab388 --- /dev/null +++ b/SurgeData/184-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,2.0 +2022,2.0,2.0 +2023,1.0,5.0 +2024,1.0,5.0 +2025,1.0,3.0 +2026,1.0,2.0 +2027,0.0,8.0 +2028,0.0,4.0 +2029,2.0,2.0 +2030,2.0,1.0 +2031,1.0,4.0 +2032,0.0,5.0 +2033,0.0,2.0 +2034,0.0,1.0 +2035,0.0,5.0 +2036,2.0,4.0 +2037,1.0,7.0 +2038,0.0,6.0 +2039,1.0,3.0 +2040,2.0,3.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,2.0,8.0 +2044,0.0,5.0 +2045,1.0,2.0 +2046,3.0,3.0 +2047,3.0,6.0 +2048,3.0,1.0 +2049,1.0,3.0 +2050,2.0,4.0 +2051,0.0,3.0 +2052,0.0,2.0 +2053,2.0,1.0 +2054,0.0,5.0 +2055,2.0,2.0 +2056,3.0,3.0 +2057,1.0,8.0 +2058,1.0,3.0 +2059,3.0,6.0 +2060,1.0,2.0 +2061,1.0,2.0 +2062,3.0,4.0 +2063,2.0,6.0 +2064,4.0,6.0 +2065,0.0,5.0 +2066,1.0,1.0 +2067,2.0,6.0 +2068,3.0,3.0 +2069,0.0,4.0 +2070,4.0,4.0 +2071,1.0,5.0 +2072,2.0,1.0 +2073,3.0,3.0 +2074,1.0,4.0 +2075,2.0,2.0 +2076,1.0,6.0 +2077,1.0,2.0 +2078,4.0,7.0 +2079,1.0,4.0 +2080,1.0,3.0 +2081,1.0,5.0 +2082,2.0,1.0 +2083,1.0,6.0 +2084,1.0,8.0 +2085,3.0,2.0 +2086,2.0,3.0 +2087,0.0,3.0 +2088,1.0,3.0 +2089,2.0,2.0 +2090,1.0,5.0 +2091,2.0,4.0 +2092,1.0,6.0 +2093,3.0,3.0 +2094,1.0,2.0 +2095,2.0,4.0 +2096,1.0,3.0 +2097,3.0,6.0 +2098,2.0,8.0 +2099,1.0,1.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/184-peak+year_c.csv b/SurgeData/184-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/184-peak+year_c.csv rename to SurgeData/184-peak+year_c.csv diff --git a/SurgeData/N=1000/184-peak+year_w.csv b/SurgeData/184-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/184-peak+year_w.csv rename to SurgeData/184-peak+year_w.csv diff --git a/SurgeData/N=1000/184-peak_c.csv b/SurgeData/184-peak_c.csv similarity index 100% rename from SurgeData/N=1000/184-peak_c.csv rename to SurgeData/184-peak_c.csv diff --git a/SurgeData/N=1000/184-peak_w.csv b/SurgeData/184-peak_w.csv similarity index 100% rename from SurgeData/N=1000/184-peak_w.csv rename to SurgeData/184-peak_w.csv diff --git a/SurgeData/N=1000/184-surge_c.csv b/SurgeData/184-surge_c.csv similarity index 100% rename from SurgeData/N=1000/184-surge_c.csv rename to SurgeData/184-surge_c.csv diff --git a/SurgeData/N=1000/184-surge_w.csv b/SurgeData/184-surge_w.csv similarity index 100% rename from SurgeData/N=1000/184-surge_w.csv rename to SurgeData/184-surge_w.csv diff --git a/SurgeData/N=1000/184-time_c.csv b/SurgeData/184-time_c.csv similarity index 100% rename from SurgeData/N=1000/184-time_c.csv rename to SurgeData/184-time_c.csv diff --git a/SurgeData/N=1000/184-time_w.csv b/SurgeData/184-time_w.csv similarity index 100% rename from SurgeData/N=1000/184-time_w.csv rename to SurgeData/184-time_w.csv diff --git a/SurgeData/N=1000/184-waterlevel_c.csv b/SurgeData/184-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/184-waterlevel_c.csv rename to SurgeData/184-waterlevel_c.csv diff --git a/SurgeData/N=1000/184-waterlevel_w.csv b/SurgeData/184-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/184-waterlevel_w.csv rename to SurgeData/184-waterlevel_w.csv diff --git a/SurgeData/N=1000/185-peak+year_c.csv b/SurgeData/185-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/185-peak+year_c.csv rename to SurgeData/185-peak+year_c.csv diff --git a/SurgeData/N=1000/185-peak+year_w.csv b/SurgeData/185-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/185-peak+year_w.csv rename to SurgeData/185-peak+year_w.csv diff --git a/SurgeData/N=1000/185-peak_c.csv b/SurgeData/185-peak_c.csv similarity index 100% rename from SurgeData/N=1000/185-peak_c.csv rename to SurgeData/185-peak_c.csv diff --git a/SurgeData/N=1000/185-peak_w.csv b/SurgeData/185-peak_w.csv similarity index 100% rename from SurgeData/N=1000/185-peak_w.csv rename to SurgeData/185-peak_w.csv diff --git a/SurgeData/N=1000/185-surge_c.csv b/SurgeData/185-surge_c.csv similarity index 100% rename from SurgeData/N=1000/185-surge_c.csv rename to SurgeData/185-surge_c.csv diff --git a/SurgeData/N=1000/185-surge_w.csv b/SurgeData/185-surge_w.csv similarity index 100% rename from SurgeData/N=1000/185-surge_w.csv rename to SurgeData/185-surge_w.csv diff --git a/SurgeData/N=1000/185-time_c.csv b/SurgeData/185-time_c.csv similarity index 100% rename from SurgeData/N=1000/185-time_c.csv rename to SurgeData/185-time_c.csv diff --git a/SurgeData/N=1000/185-time_w.csv b/SurgeData/185-time_w.csv similarity index 100% rename from SurgeData/N=1000/185-time_w.csv rename to SurgeData/185-time_w.csv diff --git a/SurgeData/N=1000/185-waterlevel_c.csv b/SurgeData/185-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/185-waterlevel_c.csv rename to SurgeData/185-waterlevel_c.csv diff --git a/SurgeData/N=1000/185-waterlevel_w.csv b/SurgeData/185-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/185-waterlevel_w.csv rename to SurgeData/185-waterlevel_w.csv diff --git a/SurgeData/N=1000/186-peak+year_c.csv b/SurgeData/186-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/186-peak+year_c.csv rename to SurgeData/186-peak+year_c.csv diff --git a/SurgeData/N=1000/186-peak+year_w.csv b/SurgeData/186-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/186-peak+year_w.csv rename to SurgeData/186-peak+year_w.csv diff --git a/SurgeData/N=1000/186-peak_c.csv b/SurgeData/186-peak_c.csv similarity index 100% rename from SurgeData/N=1000/186-peak_c.csv rename to SurgeData/186-peak_c.csv diff --git a/SurgeData/N=1000/186-peak_w.csv b/SurgeData/186-peak_w.csv similarity index 100% rename from SurgeData/N=1000/186-peak_w.csv rename to SurgeData/186-peak_w.csv diff --git a/SurgeData/N=1000/186-surge_c.csv b/SurgeData/186-surge_c.csv similarity index 100% rename from SurgeData/N=1000/186-surge_c.csv rename to SurgeData/186-surge_c.csv diff --git a/SurgeData/N=1000/186-surge_w.csv b/SurgeData/186-surge_w.csv similarity index 100% rename from SurgeData/N=1000/186-surge_w.csv rename to SurgeData/186-surge_w.csv diff --git a/SurgeData/N=1000/186-time_c.csv b/SurgeData/186-time_c.csv similarity index 100% rename from SurgeData/N=1000/186-time_c.csv rename to SurgeData/186-time_c.csv diff --git a/SurgeData/N=1000/186-time_w.csv b/SurgeData/186-time_w.csv similarity index 100% rename from SurgeData/N=1000/186-time_w.csv rename to SurgeData/186-time_w.csv diff --git a/SurgeData/N=1000/186-waterlevel_c.csv b/SurgeData/186-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/186-waterlevel_c.csv rename to SurgeData/186-waterlevel_c.csv diff --git a/SurgeData/N=1000/186-waterlevel_w.csv b/SurgeData/186-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/186-waterlevel_w.csv rename to SurgeData/186-waterlevel_w.csv diff --git a/SurgeData/187-num_storm.csv b/SurgeData/187-num_storm.csv new file mode 100644 index 00000000..c848bff5 --- /dev/null +++ b/SurgeData/187-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,2.0 +2022,0.0,1.0 +2023,0.0,5.0 +2024,1.0,7.0 +2025,3.0,5.0 +2026,2.0,2.0 +2027,1.0,5.0 +2028,0.0,2.0 +2029,1.0,6.0 +2030,2.0,5.0 +2031,2.0,6.0 +2032,0.0,3.0 +2033,2.0,3.0 +2034,1.0,3.0 +2035,2.0,4.0 +2036,1.0,4.0 +2037,1.0,2.0 +2038,1.0,5.0 +2039,2.0,4.0 +2040,0.0,3.0 +2041,1.0,3.0 +2042,1.0,6.0 +2043,0.0,4.0 +2044,1.0,7.0 +2045,2.0,7.0 +2046,3.0,1.0 +2047,0.0,4.0 +2048,1.0,2.0 +2049,0.0,4.0 +2050,0.0,7.0 +2051,2.0,1.0 +2052,1.0,3.0 +2053,1.0,6.0 +2054,2.0,6.0 +2055,0.0,6.0 +2056,1.0,7.0 +2057,1.0,5.0 +2058,0.0,3.0 +2059,1.0,3.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,0.0,3.0 +2063,2.0,3.0 +2064,4.0,4.0 +2065,1.0,3.0 +2066,3.0,3.0 +2067,2.0,4.0 +2068,1.0,2.0 +2069,1.0,7.0 +2070,2.0,3.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,2.0,6.0 +2074,1.0,3.0 +2075,0.0,4.0 +2076,3.0,5.0 +2077,0.0,7.0 +2078,0.0,3.0 +2079,1.0,4.0 +2080,2.0,5.0 +2081,1.0,3.0 +2082,2.0,6.0 +2083,2.0,0.0 +2084,0.0,3.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,4.0,5.0 +2088,4.0,2.0 +2089,0.0,4.0 +2090,2.0,7.0 +2091,2.0,4.0 +2092,1.0,2.0 +2093,1.0,3.0 +2094,0.0,6.0 +2095,3.0,2.0 +2096,2.0,6.0 +2097,1.0,3.0 +2098,2.0,5.0 +2099,1.0,5.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/187-peak+year_c.csv b/SurgeData/187-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/187-peak+year_c.csv rename to SurgeData/187-peak+year_c.csv diff --git a/SurgeData/N=1000/187-peak+year_w.csv b/SurgeData/187-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/187-peak+year_w.csv rename to SurgeData/187-peak+year_w.csv diff --git a/SurgeData/N=1000/187-peak_c.csv b/SurgeData/187-peak_c.csv similarity index 100% rename from SurgeData/N=1000/187-peak_c.csv rename to SurgeData/187-peak_c.csv diff --git a/SurgeData/N=1000/187-peak_w.csv b/SurgeData/187-peak_w.csv similarity index 100% rename from SurgeData/N=1000/187-peak_w.csv rename to SurgeData/187-peak_w.csv diff --git a/SurgeData/N=1000/187-surge_c.csv b/SurgeData/187-surge_c.csv similarity index 100% rename from SurgeData/N=1000/187-surge_c.csv rename to SurgeData/187-surge_c.csv diff --git a/SurgeData/N=1000/187-surge_w.csv b/SurgeData/187-surge_w.csv similarity index 100% rename from SurgeData/N=1000/187-surge_w.csv rename to SurgeData/187-surge_w.csv diff --git a/SurgeData/N=1000/187-time_c.csv b/SurgeData/187-time_c.csv similarity index 100% rename from SurgeData/N=1000/187-time_c.csv rename to SurgeData/187-time_c.csv diff --git a/SurgeData/N=1000/187-time_w.csv b/SurgeData/187-time_w.csv similarity index 100% rename from SurgeData/N=1000/187-time_w.csv rename to SurgeData/187-time_w.csv diff --git a/SurgeData/N=1000/187-waterlevel_c.csv b/SurgeData/187-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/187-waterlevel_c.csv rename to SurgeData/187-waterlevel_c.csv diff --git a/SurgeData/N=1000/187-waterlevel_w.csv b/SurgeData/187-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/187-waterlevel_w.csv rename to SurgeData/187-waterlevel_w.csv diff --git a/SurgeData/188-num_storm.csv b/SurgeData/188-num_storm.csv new file mode 100644 index 00000000..feef5624 --- /dev/null +++ b/SurgeData/188-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,6.0 +2021,3.0,3.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,1.0,3.0 +2025,2.0,9.0 +2026,2.0,2.0 +2027,0.0,4.0 +2028,0.0,2.0 +2029,1.0,3.0 +2030,3.0,2.0 +2031,3.0,2.0 +2032,2.0,6.0 +2033,2.0,4.0 +2034,4.0,2.0 +2035,0.0,7.0 +2036,2.0,2.0 +2037,1.0,5.0 +2038,0.0,1.0 +2039,2.0,1.0 +2040,2.0,7.0 +2041,0.0,4.0 +2042,0.0,5.0 +2043,0.0,4.0 +2044,1.0,4.0 +2045,2.0,3.0 +2046,0.0,8.0 +2047,2.0,6.0 +2048,1.0,9.0 +2049,2.0,5.0 +2050,2.0,7.0 +2051,2.0,4.0 +2052,1.0,5.0 +2053,3.0,3.0 +2054,0.0,3.0 +2055,1.0,9.0 +2056,1.0,1.0 +2057,2.0,5.0 +2058,3.0,1.0 +2059,0.0,1.0 +2060,3.0,3.0 +2061,1.0,5.0 +2062,0.0,2.0 +2063,0.0,6.0 +2064,2.0,11.0 +2065,1.0,3.0 +2066,3.0,2.0 +2067,2.0,3.0 +2068,0.0,2.0 +2069,2.0,2.0 +2070,3.0,1.0 +2071,1.0,3.0 +2072,3.0,9.0 +2073,1.0,7.0 +2074,1.0,6.0 +2075,0.0,3.0 +2076,1.0,3.0 +2077,1.0,5.0 +2078,3.0,5.0 +2079,1.0,9.0 +2080,1.0,7.0 +2081,0.0,0.0 +2082,1.0,4.0 +2083,2.0,8.0 +2084,1.0,4.0 +2085,3.0,4.0 +2086,0.0,1.0 +2087,1.0,9.0 +2088,3.0,2.0 +2089,1.0,7.0 +2090,2.0,2.0 +2091,2.0,5.0 +2092,1.0,5.0 +2093,4.0,7.0 +2094,2.0,4.0 +2095,1.0,4.0 +2096,3.0,2.0 +2097,1.0,5.0 +2098,1.0,3.0 +2099,1.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/188-peak+year_c.csv b/SurgeData/188-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/188-peak+year_c.csv rename to SurgeData/188-peak+year_c.csv diff --git a/SurgeData/N=1000/188-peak+year_w.csv b/SurgeData/188-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/188-peak+year_w.csv rename to SurgeData/188-peak+year_w.csv diff --git a/SurgeData/N=1000/188-peak_c.csv b/SurgeData/188-peak_c.csv similarity index 100% rename from SurgeData/N=1000/188-peak_c.csv rename to SurgeData/188-peak_c.csv diff --git a/SurgeData/N=1000/188-peak_w.csv b/SurgeData/188-peak_w.csv similarity index 100% rename from SurgeData/N=1000/188-peak_w.csv rename to SurgeData/188-peak_w.csv diff --git a/SurgeData/N=1000/188-surge_c.csv b/SurgeData/188-surge_c.csv similarity index 100% rename from SurgeData/N=1000/188-surge_c.csv rename to SurgeData/188-surge_c.csv diff --git a/SurgeData/N=1000/188-surge_w.csv b/SurgeData/188-surge_w.csv similarity index 100% rename from SurgeData/N=1000/188-surge_w.csv rename to SurgeData/188-surge_w.csv diff --git a/SurgeData/N=1000/188-time_c.csv b/SurgeData/188-time_c.csv similarity index 100% rename from SurgeData/N=1000/188-time_c.csv rename to SurgeData/188-time_c.csv diff --git a/SurgeData/N=1000/188-time_w.csv b/SurgeData/188-time_w.csv similarity index 100% rename from SurgeData/N=1000/188-time_w.csv rename to SurgeData/188-time_w.csv diff --git a/SurgeData/N=1000/188-waterlevel_c.csv b/SurgeData/188-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/188-waterlevel_c.csv rename to SurgeData/188-waterlevel_c.csv diff --git a/SurgeData/N=1000/188-waterlevel_w.csv b/SurgeData/188-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/188-waterlevel_w.csv rename to SurgeData/188-waterlevel_w.csv diff --git a/SurgeData/189-num_storm.csv b/SurgeData/189-num_storm.csv new file mode 100644 index 00000000..04864bbb --- /dev/null +++ b/SurgeData/189-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,2.0,2.0 +2022,1.0,2.0 +2023,1.0,6.0 +2024,1.0,3.0 +2025,2.0,7.0 +2026,2.0,5.0 +2027,2.0,2.0 +2028,1.0,0.0 +2029,0.0,5.0 +2030,0.0,7.0 +2031,1.0,3.0 +2032,1.0,6.0 +2033,2.0,7.0 +2034,0.0,4.0 +2035,2.0,6.0 +2036,1.0,5.0 +2037,1.0,3.0 +2038,2.0,5.0 +2039,1.0,5.0 +2040,1.0,3.0 +2041,2.0,4.0 +2042,3.0,6.0 +2043,2.0,2.0 +2044,0.0,6.0 +2045,1.0,7.0 +2046,1.0,4.0 +2047,2.0,4.0 +2048,3.0,7.0 +2049,0.0,7.0 +2050,2.0,3.0 +2051,0.0,4.0 +2052,1.0,5.0 +2053,3.0,9.0 +2054,0.0,3.0 +2055,2.0,4.0 +2056,2.0,3.0 +2057,4.0,7.0 +2058,0.0,9.0 +2059,0.0,2.0 +2060,1.0,5.0 +2061,1.0,5.0 +2062,3.0,8.0 +2063,1.0,6.0 +2064,1.0,5.0 +2065,2.0,0.0 +2066,1.0,5.0 +2067,3.0,6.0 +2068,0.0,5.0 +2069,2.0,4.0 +2070,0.0,6.0 +2071,2.0,3.0 +2072,0.0,5.0 +2073,1.0,2.0 +2074,1.0,4.0 +2075,0.0,2.0 +2076,1.0,7.0 +2077,3.0,1.0 +2078,1.0,4.0 +2079,0.0,2.0 +2080,1.0,2.0 +2081,2.0,8.0 +2082,2.0,2.0 +2083,1.0,3.0 +2084,0.0,3.0 +2085,3.0,3.0 +2086,1.0,7.0 +2087,0.0,4.0 +2088,1.0,2.0 +2089,0.0,0.0 +2090,1.0,6.0 +2091,1.0,5.0 +2092,1.0,2.0 +2093,2.0,2.0 +2094,5.0,6.0 +2095,1.0,6.0 +2096,1.0,6.0 +2097,0.0,4.0 +2098,1.0,6.0 +2099,2.0,5.0 +2100,4.0,5.0 diff --git a/SurgeData/N=1000/189-peak+year_c.csv b/SurgeData/189-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/189-peak+year_c.csv rename to SurgeData/189-peak+year_c.csv diff --git a/SurgeData/N=1000/189-peak+year_w.csv b/SurgeData/189-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/189-peak+year_w.csv rename to SurgeData/189-peak+year_w.csv diff --git a/SurgeData/N=1000/189-peak_c.csv b/SurgeData/189-peak_c.csv similarity index 100% rename from SurgeData/N=1000/189-peak_c.csv rename to SurgeData/189-peak_c.csv diff --git a/SurgeData/N=1000/189-peak_w.csv b/SurgeData/189-peak_w.csv similarity index 100% rename from SurgeData/N=1000/189-peak_w.csv rename to SurgeData/189-peak_w.csv diff --git a/SurgeData/N=1000/189-surge_c.csv b/SurgeData/189-surge_c.csv similarity index 100% rename from SurgeData/N=1000/189-surge_c.csv rename to SurgeData/189-surge_c.csv diff --git a/SurgeData/N=1000/189-surge_w.csv b/SurgeData/189-surge_w.csv similarity index 100% rename from SurgeData/N=1000/189-surge_w.csv rename to SurgeData/189-surge_w.csv diff --git a/SurgeData/N=1000/189-time_c.csv b/SurgeData/189-time_c.csv similarity index 100% rename from SurgeData/N=1000/189-time_c.csv rename to SurgeData/189-time_c.csv diff --git a/SurgeData/N=1000/189-time_w.csv b/SurgeData/189-time_w.csv similarity index 100% rename from SurgeData/N=1000/189-time_w.csv rename to SurgeData/189-time_w.csv diff --git a/SurgeData/N=1000/189-waterlevel_c.csv b/SurgeData/189-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/189-waterlevel_c.csv rename to SurgeData/189-waterlevel_c.csv diff --git a/SurgeData/N=1000/189-waterlevel_w.csv b/SurgeData/189-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/189-waterlevel_w.csv rename to SurgeData/189-waterlevel_w.csv diff --git a/SurgeData/19-num_storm.csv b/SurgeData/19-num_storm.csv new file mode 100644 index 00000000..7747a52c --- /dev/null +++ b/SurgeData/19-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,3.0,4.0 +2022,1.0,4.0 +2023,1.0,2.0 +2024,0.0,2.0 +2025,0.0,4.0 +2026,0.0,8.0 +2027,2.0,4.0 +2028,1.0,6.0 +2029,0.0,2.0 +2030,1.0,3.0 +2031,2.0,4.0 +2032,0.0,6.0 +2033,1.0,5.0 +2034,0.0,5.0 +2035,4.0,3.0 +2036,1.0,2.0 +2037,1.0,2.0 +2038,4.0,3.0 +2039,0.0,2.0 +2040,3.0,8.0 +2041,0.0,6.0 +2042,0.0,5.0 +2043,1.0,3.0 +2044,0.0,3.0 +2045,2.0,9.0 +2046,4.0,7.0 +2047,3.0,6.0 +2048,2.0,2.0 +2049,1.0,5.0 +2050,0.0,5.0 +2051,0.0,5.0 +2052,2.0,4.0 +2053,3.0,2.0 +2054,1.0,6.0 +2055,1.0,5.0 +2056,1.0,6.0 +2057,0.0,10.0 +2058,3.0,4.0 +2059,0.0,6.0 +2060,2.0,1.0 +2061,3.0,9.0 +2062,2.0,1.0 +2063,1.0,5.0 +2064,2.0,2.0 +2065,1.0,5.0 +2066,1.0,1.0 +2067,2.0,11.0 +2068,2.0,7.0 +2069,2.0,0.0 +2070,4.0,4.0 +2071,1.0,6.0 +2072,4.0,4.0 +2073,3.0,2.0 +2074,1.0,3.0 +2075,2.0,4.0 +2076,0.0,2.0 +2077,0.0,6.0 +2078,2.0,5.0 +2079,1.0,5.0 +2080,2.0,6.0 +2081,0.0,4.0 +2082,2.0,3.0 +2083,2.0,2.0 +2084,1.0,3.0 +2085,2.0,5.0 +2086,0.0,3.0 +2087,2.0,5.0 +2088,1.0,9.0 +2089,6.0,4.0 +2090,3.0,5.0 +2091,0.0,3.0 +2092,1.0,5.0 +2093,1.0,3.0 +2094,0.0,4.0 +2095,1.0,8.0 +2096,0.0,3.0 +2097,3.0,3.0 +2098,2.0,2.0 +2099,0.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/19-peak+year_c.csv b/SurgeData/19-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/19-peak+year_c.csv rename to SurgeData/19-peak+year_c.csv diff --git a/SurgeData/N=1000/19-peak+year_w.csv b/SurgeData/19-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/19-peak+year_w.csv rename to SurgeData/19-peak+year_w.csv diff --git a/SurgeData/N=1000/19-peak_c.csv b/SurgeData/19-peak_c.csv similarity index 100% rename from SurgeData/N=1000/19-peak_c.csv rename to SurgeData/19-peak_c.csv diff --git a/SurgeData/N=1000/19-peak_w.csv b/SurgeData/19-peak_w.csv similarity index 100% rename from SurgeData/N=1000/19-peak_w.csv rename to SurgeData/19-peak_w.csv diff --git a/SurgeData/N=1000/19-surge_c.csv b/SurgeData/19-surge_c.csv similarity index 100% rename from SurgeData/N=1000/19-surge_c.csv rename to SurgeData/19-surge_c.csv diff --git a/SurgeData/N=1000/19-surge_w.csv b/SurgeData/19-surge_w.csv similarity index 100% rename from SurgeData/N=1000/19-surge_w.csv rename to SurgeData/19-surge_w.csv diff --git a/SurgeData/N=1000/19-time_c.csv b/SurgeData/19-time_c.csv similarity index 100% rename from SurgeData/N=1000/19-time_c.csv rename to SurgeData/19-time_c.csv diff --git a/SurgeData/N=1000/19-time_w.csv b/SurgeData/19-time_w.csv similarity index 100% rename from SurgeData/N=1000/19-time_w.csv rename to SurgeData/19-time_w.csv diff --git a/SurgeData/N=1000/19-waterlevel_c.csv b/SurgeData/19-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/19-waterlevel_c.csv rename to SurgeData/19-waterlevel_c.csv diff --git a/SurgeData/N=1000/19-waterlevel_w.csv b/SurgeData/19-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/19-waterlevel_w.csv rename to SurgeData/19-waterlevel_w.csv diff --git a/SurgeData/N=1000/190-peak+year_c.csv b/SurgeData/190-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/190-peak+year_c.csv rename to SurgeData/190-peak+year_c.csv diff --git a/SurgeData/N=1000/190-peak+year_w.csv b/SurgeData/190-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/190-peak+year_w.csv rename to SurgeData/190-peak+year_w.csv diff --git a/SurgeData/N=1000/190-peak_c.csv b/SurgeData/190-peak_c.csv similarity index 100% rename from SurgeData/N=1000/190-peak_c.csv rename to SurgeData/190-peak_c.csv diff --git a/SurgeData/N=1000/190-peak_w.csv b/SurgeData/190-peak_w.csv similarity index 100% rename from SurgeData/N=1000/190-peak_w.csv rename to SurgeData/190-peak_w.csv diff --git a/SurgeData/N=1000/190-surge_c.csv b/SurgeData/190-surge_c.csv similarity index 100% rename from SurgeData/N=1000/190-surge_c.csv rename to SurgeData/190-surge_c.csv diff --git a/SurgeData/N=1000/190-surge_w.csv b/SurgeData/190-surge_w.csv similarity index 100% rename from SurgeData/N=1000/190-surge_w.csv rename to SurgeData/190-surge_w.csv diff --git a/SurgeData/N=1000/190-time_c.csv b/SurgeData/190-time_c.csv similarity index 100% rename from SurgeData/N=1000/190-time_c.csv rename to SurgeData/190-time_c.csv diff --git a/SurgeData/N=1000/190-time_w.csv b/SurgeData/190-time_w.csv similarity index 100% rename from SurgeData/N=1000/190-time_w.csv rename to SurgeData/190-time_w.csv diff --git a/SurgeData/N=1000/190-waterlevel_c.csv b/SurgeData/190-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/190-waterlevel_c.csv rename to SurgeData/190-waterlevel_c.csv diff --git a/SurgeData/N=1000/190-waterlevel_w.csv b/SurgeData/190-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/190-waterlevel_w.csv rename to SurgeData/190-waterlevel_w.csv diff --git a/SurgeData/191-num_storm.csv b/SurgeData/191-num_storm.csv new file mode 100644 index 00000000..166b90a4 --- /dev/null +++ b/SurgeData/191-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,5.0 +2022,0.0,10.0 +2023,2.0,2.0 +2024,1.0,7.0 +2025,2.0,4.0 +2026,1.0,6.0 +2027,2.0,1.0 +2028,2.0,2.0 +2029,3.0,4.0 +2030,0.0,3.0 +2031,2.0,4.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,1.0,6.0 +2035,0.0,4.0 +2036,3.0,2.0 +2037,1.0,2.0 +2038,3.0,9.0 +2039,1.0,4.0 +2040,0.0,3.0 +2041,0.0,2.0 +2042,2.0,3.0 +2043,1.0,6.0 +2044,4.0,4.0 +2045,2.0,4.0 +2046,1.0,3.0 +2047,1.0,7.0 +2048,2.0,2.0 +2049,1.0,3.0 +2050,3.0,1.0 +2051,0.0,0.0 +2052,1.0,6.0 +2053,5.0,4.0 +2054,1.0,3.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,0.0,5.0 +2058,1.0,7.0 +2059,1.0,2.0 +2060,3.0,0.0 +2061,2.0,8.0 +2062,2.0,3.0 +2063,2.0,3.0 +2064,1.0,4.0 +2065,1.0,5.0 +2066,2.0,3.0 +2067,2.0,2.0 +2068,2.0,2.0 +2069,2.0,3.0 +2070,1.0,4.0 +2071,2.0,5.0 +2072,1.0,5.0 +2073,2.0,5.0 +2074,0.0,3.0 +2075,0.0,2.0 +2076,2.0,3.0 +2077,0.0,4.0 +2078,0.0,8.0 +2079,3.0,3.0 +2080,2.0,2.0 +2081,3.0,2.0 +2082,1.0,3.0 +2083,2.0,5.0 +2084,4.0,6.0 +2085,1.0,5.0 +2086,2.0,0.0 +2087,2.0,1.0 +2088,0.0,4.0 +2089,1.0,4.0 +2090,1.0,4.0 +2091,2.0,4.0 +2092,1.0,3.0 +2093,1.0,1.0 +2094,2.0,4.0 +2095,1.0,7.0 +2096,2.0,5.0 +2097,2.0,7.0 +2098,2.0,4.0 +2099,2.0,1.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/191-peak+year_c.csv b/SurgeData/191-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/191-peak+year_c.csv rename to SurgeData/191-peak+year_c.csv diff --git a/SurgeData/N=1000/191-peak+year_w.csv b/SurgeData/191-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/191-peak+year_w.csv rename to SurgeData/191-peak+year_w.csv diff --git a/SurgeData/N=1000/191-peak_c.csv b/SurgeData/191-peak_c.csv similarity index 100% rename from SurgeData/N=1000/191-peak_c.csv rename to SurgeData/191-peak_c.csv diff --git a/SurgeData/N=1000/191-peak_w.csv b/SurgeData/191-peak_w.csv similarity index 100% rename from SurgeData/N=1000/191-peak_w.csv rename to SurgeData/191-peak_w.csv diff --git a/SurgeData/N=1000/191-surge_c.csv b/SurgeData/191-surge_c.csv similarity index 100% rename from SurgeData/N=1000/191-surge_c.csv rename to SurgeData/191-surge_c.csv diff --git a/SurgeData/N=1000/191-surge_w.csv b/SurgeData/191-surge_w.csv similarity index 100% rename from SurgeData/N=1000/191-surge_w.csv rename to SurgeData/191-surge_w.csv diff --git a/SurgeData/N=1000/191-time_c.csv b/SurgeData/191-time_c.csv similarity index 100% rename from SurgeData/N=1000/191-time_c.csv rename to SurgeData/191-time_c.csv diff --git a/SurgeData/N=1000/191-time_w.csv b/SurgeData/191-time_w.csv similarity index 100% rename from SurgeData/N=1000/191-time_w.csv rename to SurgeData/191-time_w.csv diff --git a/SurgeData/N=1000/191-waterlevel_c.csv b/SurgeData/191-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/191-waterlevel_c.csv rename to SurgeData/191-waterlevel_c.csv diff --git a/SurgeData/N=1000/191-waterlevel_w.csv b/SurgeData/191-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/191-waterlevel_w.csv rename to SurgeData/191-waterlevel_w.csv diff --git a/SurgeData/192-num_storm.csv b/SurgeData/192-num_storm.csv new file mode 100644 index 00000000..6a55bc37 --- /dev/null +++ b/SurgeData/192-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,2.0,3.0 +2022,4.0,5.0 +2023,2.0,6.0 +2024,3.0,6.0 +2025,0.0,7.0 +2026,2.0,4.0 +2027,0.0,3.0 +2028,1.0,5.0 +2029,1.0,4.0 +2030,0.0,3.0 +2031,2.0,4.0 +2032,2.0,8.0 +2033,2.0,4.0 +2034,1.0,1.0 +2035,3.0,7.0 +2036,3.0,4.0 +2037,0.0,4.0 +2038,1.0,6.0 +2039,1.0,3.0 +2040,2.0,5.0 +2041,1.0,2.0 +2042,1.0,5.0 +2043,4.0,5.0 +2044,3.0,6.0 +2045,0.0,7.0 +2046,2.0,3.0 +2047,1.0,8.0 +2048,1.0,3.0 +2049,1.0,5.0 +2050,3.0,6.0 +2051,2.0,3.0 +2052,3.0,8.0 +2053,3.0,3.0 +2054,0.0,4.0 +2055,2.0,3.0 +2056,0.0,4.0 +2057,0.0,1.0 +2058,0.0,6.0 +2059,2.0,4.0 +2060,2.0,3.0 +2061,2.0,3.0 +2062,0.0,3.0 +2063,4.0,5.0 +2064,1.0,7.0 +2065,3.0,0.0 +2066,2.0,1.0 +2067,2.0,5.0 +2068,5.0,4.0 +2069,1.0,4.0 +2070,1.0,3.0 +2071,1.0,6.0 +2072,1.0,8.0 +2073,3.0,4.0 +2074,0.0,1.0 +2075,0.0,6.0 +2076,2.0,5.0 +2077,3.0,5.0 +2078,2.0,3.0 +2079,2.0,7.0 +2080,3.0,8.0 +2081,0.0,5.0 +2082,3.0,3.0 +2083,3.0,1.0 +2084,0.0,4.0 +2085,1.0,4.0 +2086,2.0,4.0 +2087,2.0,5.0 +2088,1.0,6.0 +2089,0.0,5.0 +2090,2.0,5.0 +2091,1.0,3.0 +2092,1.0,5.0 +2093,0.0,2.0 +2094,2.0,5.0 +2095,1.0,5.0 +2096,2.0,3.0 +2097,2.0,1.0 +2098,1.0,3.0 +2099,1.0,2.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/192-peak+year_c.csv b/SurgeData/192-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/192-peak+year_c.csv rename to SurgeData/192-peak+year_c.csv diff --git a/SurgeData/N=1000/192-peak+year_w.csv b/SurgeData/192-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/192-peak+year_w.csv rename to SurgeData/192-peak+year_w.csv diff --git a/SurgeData/N=1000/192-peak_c.csv b/SurgeData/192-peak_c.csv similarity index 100% rename from SurgeData/N=1000/192-peak_c.csv rename to SurgeData/192-peak_c.csv diff --git a/SurgeData/N=1000/192-peak_w.csv b/SurgeData/192-peak_w.csv similarity index 100% rename from SurgeData/N=1000/192-peak_w.csv rename to SurgeData/192-peak_w.csv diff --git a/SurgeData/N=1000/192-surge_c.csv b/SurgeData/192-surge_c.csv similarity index 100% rename from SurgeData/N=1000/192-surge_c.csv rename to SurgeData/192-surge_c.csv diff --git a/SurgeData/N=1000/192-surge_w.csv b/SurgeData/192-surge_w.csv similarity index 100% rename from SurgeData/N=1000/192-surge_w.csv rename to SurgeData/192-surge_w.csv diff --git a/SurgeData/N=1000/192-time_c.csv b/SurgeData/192-time_c.csv similarity index 100% rename from SurgeData/N=1000/192-time_c.csv rename to SurgeData/192-time_c.csv diff --git a/SurgeData/N=1000/192-time_w.csv b/SurgeData/192-time_w.csv similarity index 100% rename from SurgeData/N=1000/192-time_w.csv rename to SurgeData/192-time_w.csv diff --git a/SurgeData/N=1000/192-waterlevel_c.csv b/SurgeData/192-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/192-waterlevel_c.csv rename to SurgeData/192-waterlevel_c.csv diff --git a/SurgeData/N=1000/192-waterlevel_w.csv b/SurgeData/192-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/192-waterlevel_w.csv rename to SurgeData/192-waterlevel_w.csv diff --git a/SurgeData/193-num_storm.csv b/SurgeData/193-num_storm.csv new file mode 100644 index 00000000..ebdb4ed9 --- /dev/null +++ b/SurgeData/193-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,3.0 +2022,2.0,4.0 +2023,3.0,5.0 +2024,1.0,3.0 +2025,0.0,2.0 +2026,1.0,2.0 +2027,1.0,4.0 +2028,0.0,6.0 +2029,1.0,5.0 +2030,2.0,6.0 +2031,0.0,5.0 +2032,2.0,1.0 +2033,2.0,3.0 +2034,2.0,7.0 +2035,4.0,3.0 +2036,1.0,6.0 +2037,2.0,7.0 +2038,2.0,3.0 +2039,5.0,6.0 +2040,4.0,4.0 +2041,2.0,1.0 +2042,1.0,5.0 +2043,1.0,2.0 +2044,2.0,6.0 +2045,3.0,2.0 +2046,1.0,2.0 +2047,0.0,4.0 +2048,0.0,7.0 +2049,0.0,11.0 +2050,3.0,2.0 +2051,1.0,4.0 +2052,1.0,7.0 +2053,3.0,3.0 +2054,0.0,4.0 +2055,0.0,6.0 +2056,1.0,5.0 +2057,3.0,2.0 +2058,3.0,6.0 +2059,3.0,4.0 +2060,2.0,6.0 +2061,3.0,6.0 +2062,2.0,4.0 +2063,3.0,2.0 +2064,2.0,5.0 +2065,1.0,5.0 +2066,2.0,3.0 +2067,2.0,3.0 +2068,2.0,5.0 +2069,4.0,3.0 +2070,2.0,2.0 +2071,1.0,6.0 +2072,0.0,6.0 +2073,1.0,2.0 +2074,1.0,4.0 +2075,1.0,6.0 +2076,1.0,3.0 +2077,3.0,1.0 +2078,1.0,4.0 +2079,0.0,8.0 +2080,3.0,4.0 +2081,1.0,5.0 +2082,3.0,1.0 +2083,3.0,1.0 +2084,1.0,6.0 +2085,1.0,7.0 +2086,4.0,2.0 +2087,2.0,3.0 +2088,0.0,5.0 +2089,1.0,3.0 +2090,2.0,4.0 +2091,1.0,5.0 +2092,1.0,7.0 +2093,2.0,10.0 +2094,5.0,3.0 +2095,1.0,2.0 +2096,0.0,1.0 +2097,5.0,4.0 +2098,3.0,4.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/193-peak+year_c.csv b/SurgeData/193-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/193-peak+year_c.csv rename to SurgeData/193-peak+year_c.csv diff --git a/SurgeData/N=1000/193-peak+year_w.csv b/SurgeData/193-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/193-peak+year_w.csv rename to SurgeData/193-peak+year_w.csv diff --git a/SurgeData/N=1000/193-peak_c.csv b/SurgeData/193-peak_c.csv similarity index 100% rename from SurgeData/N=1000/193-peak_c.csv rename to SurgeData/193-peak_c.csv diff --git a/SurgeData/N=1000/193-peak_w.csv b/SurgeData/193-peak_w.csv similarity index 100% rename from SurgeData/N=1000/193-peak_w.csv rename to SurgeData/193-peak_w.csv diff --git a/SurgeData/N=1000/193-surge_c.csv b/SurgeData/193-surge_c.csv similarity index 100% rename from SurgeData/N=1000/193-surge_c.csv rename to SurgeData/193-surge_c.csv diff --git a/SurgeData/N=1000/193-surge_w.csv b/SurgeData/193-surge_w.csv similarity index 100% rename from SurgeData/N=1000/193-surge_w.csv rename to SurgeData/193-surge_w.csv diff --git a/SurgeData/N=1000/193-time_c.csv b/SurgeData/193-time_c.csv similarity index 100% rename from SurgeData/N=1000/193-time_c.csv rename to SurgeData/193-time_c.csv diff --git a/SurgeData/N=1000/193-time_w.csv b/SurgeData/193-time_w.csv similarity index 100% rename from SurgeData/N=1000/193-time_w.csv rename to SurgeData/193-time_w.csv diff --git a/SurgeData/N=1000/193-waterlevel_c.csv b/SurgeData/193-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/193-waterlevel_c.csv rename to SurgeData/193-waterlevel_c.csv diff --git a/SurgeData/N=1000/193-waterlevel_w.csv b/SurgeData/193-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/193-waterlevel_w.csv rename to SurgeData/193-waterlevel_w.csv diff --git a/SurgeData/194-num_storm.csv b/SurgeData/194-num_storm.csv new file mode 100644 index 00000000..a2907316 --- /dev/null +++ b/SurgeData/194-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,3.0,0.0 +2022,3.0,2.0 +2023,1.0,0.0 +2024,1.0,3.0 +2025,0.0,7.0 +2026,0.0,2.0 +2027,1.0,8.0 +2028,1.0,4.0 +2029,1.0,7.0 +2030,0.0,2.0 +2031,2.0,4.0 +2032,5.0,2.0 +2033,1.0,1.0 +2034,1.0,3.0 +2035,3.0,3.0 +2036,2.0,3.0 +2037,1.0,3.0 +2038,3.0,5.0 +2039,1.0,4.0 +2040,2.0,7.0 +2041,2.0,3.0 +2042,1.0,3.0 +2043,3.0,2.0 +2044,0.0,1.0 +2045,1.0,7.0 +2046,3.0,5.0 +2047,3.0,5.0 +2048,0.0,4.0 +2049,0.0,3.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,1.0,3.0 +2053,3.0,5.0 +2054,1.0,4.0 +2055,4.0,2.0 +2056,2.0,2.0 +2057,2.0,3.0 +2058,1.0,1.0 +2059,1.0,6.0 +2060,0.0,6.0 +2061,0.0,2.0 +2062,0.0,1.0 +2063,0.0,3.0 +2064,3.0,3.0 +2065,0.0,2.0 +2066,2.0,6.0 +2067,0.0,6.0 +2068,0.0,2.0 +2069,2.0,3.0 +2070,1.0,4.0 +2071,2.0,3.0 +2072,0.0,3.0 +2073,0.0,4.0 +2074,2.0,4.0 +2075,0.0,2.0 +2076,0.0,2.0 +2077,2.0,6.0 +2078,2.0,3.0 +2079,2.0,7.0 +2080,3.0,4.0 +2081,2.0,1.0 +2082,2.0,3.0 +2083,4.0,6.0 +2084,1.0,4.0 +2085,2.0,5.0 +2086,3.0,2.0 +2087,0.0,3.0 +2088,1.0,5.0 +2089,2.0,5.0 +2090,2.0,5.0 +2091,2.0,4.0 +2092,1.0,5.0 +2093,2.0,4.0 +2094,1.0,2.0 +2095,0.0,2.0 +2096,0.0,4.0 +2097,3.0,2.0 +2098,2.0,4.0 +2099,3.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/194-peak+year_c.csv b/SurgeData/194-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/194-peak+year_c.csv rename to SurgeData/194-peak+year_c.csv diff --git a/SurgeData/N=1000/194-peak+year_w.csv b/SurgeData/194-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/194-peak+year_w.csv rename to SurgeData/194-peak+year_w.csv diff --git a/SurgeData/N=1000/194-peak_c.csv b/SurgeData/194-peak_c.csv similarity index 100% rename from SurgeData/N=1000/194-peak_c.csv rename to SurgeData/194-peak_c.csv diff --git a/SurgeData/N=1000/194-peak_w.csv b/SurgeData/194-peak_w.csv similarity index 100% rename from SurgeData/N=1000/194-peak_w.csv rename to SurgeData/194-peak_w.csv diff --git a/SurgeData/N=1000/194-surge_c.csv b/SurgeData/194-surge_c.csv similarity index 100% rename from SurgeData/N=1000/194-surge_c.csv rename to SurgeData/194-surge_c.csv diff --git a/SurgeData/N=1000/194-surge_w.csv b/SurgeData/194-surge_w.csv similarity index 100% rename from SurgeData/N=1000/194-surge_w.csv rename to SurgeData/194-surge_w.csv diff --git a/SurgeData/N=1000/194-time_c.csv b/SurgeData/194-time_c.csv similarity index 100% rename from SurgeData/N=1000/194-time_c.csv rename to SurgeData/194-time_c.csv diff --git a/SurgeData/N=1000/194-time_w.csv b/SurgeData/194-time_w.csv similarity index 100% rename from SurgeData/N=1000/194-time_w.csv rename to SurgeData/194-time_w.csv diff --git a/SurgeData/N=1000/194-waterlevel_c.csv b/SurgeData/194-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/194-waterlevel_c.csv rename to SurgeData/194-waterlevel_c.csv diff --git a/SurgeData/N=1000/194-waterlevel_w.csv b/SurgeData/194-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/194-waterlevel_w.csv rename to SurgeData/194-waterlevel_w.csv diff --git a/SurgeData/N=1000/195-peak+year_c.csv b/SurgeData/195-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/195-peak+year_c.csv rename to SurgeData/195-peak+year_c.csv diff --git a/SurgeData/N=1000/195-peak+year_w.csv b/SurgeData/195-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/195-peak+year_w.csv rename to SurgeData/195-peak+year_w.csv diff --git a/SurgeData/N=1000/195-peak_c.csv b/SurgeData/195-peak_c.csv similarity index 100% rename from SurgeData/N=1000/195-peak_c.csv rename to SurgeData/195-peak_c.csv diff --git a/SurgeData/N=1000/195-peak_w.csv b/SurgeData/195-peak_w.csv similarity index 100% rename from SurgeData/N=1000/195-peak_w.csv rename to SurgeData/195-peak_w.csv diff --git a/SurgeData/N=1000/195-surge_c.csv b/SurgeData/195-surge_c.csv similarity index 100% rename from SurgeData/N=1000/195-surge_c.csv rename to SurgeData/195-surge_c.csv diff --git a/SurgeData/N=1000/195-surge_w.csv b/SurgeData/195-surge_w.csv similarity index 100% rename from SurgeData/N=1000/195-surge_w.csv rename to SurgeData/195-surge_w.csv diff --git a/SurgeData/N=1000/195-time_c.csv b/SurgeData/195-time_c.csv similarity index 100% rename from SurgeData/N=1000/195-time_c.csv rename to SurgeData/195-time_c.csv diff --git a/SurgeData/N=1000/195-time_w.csv b/SurgeData/195-time_w.csv similarity index 100% rename from SurgeData/N=1000/195-time_w.csv rename to SurgeData/195-time_w.csv diff --git a/SurgeData/N=1000/195-waterlevel_c.csv b/SurgeData/195-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/195-waterlevel_c.csv rename to SurgeData/195-waterlevel_c.csv diff --git a/SurgeData/N=1000/195-waterlevel_w.csv b/SurgeData/195-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/195-waterlevel_w.csv rename to SurgeData/195-waterlevel_w.csv diff --git a/SurgeData/N=1000/196-peak+year_c.csv b/SurgeData/196-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/196-peak+year_c.csv rename to SurgeData/196-peak+year_c.csv diff --git a/SurgeData/N=1000/196-peak+year_w.csv b/SurgeData/196-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/196-peak+year_w.csv rename to SurgeData/196-peak+year_w.csv diff --git a/SurgeData/N=1000/196-peak_c.csv b/SurgeData/196-peak_c.csv similarity index 100% rename from SurgeData/N=1000/196-peak_c.csv rename to SurgeData/196-peak_c.csv diff --git a/SurgeData/N=1000/196-peak_w.csv b/SurgeData/196-peak_w.csv similarity index 100% rename from SurgeData/N=1000/196-peak_w.csv rename to SurgeData/196-peak_w.csv diff --git a/SurgeData/N=1000/196-surge_c.csv b/SurgeData/196-surge_c.csv similarity index 100% rename from SurgeData/N=1000/196-surge_c.csv rename to SurgeData/196-surge_c.csv diff --git a/SurgeData/N=1000/196-surge_w.csv b/SurgeData/196-surge_w.csv similarity index 100% rename from SurgeData/N=1000/196-surge_w.csv rename to SurgeData/196-surge_w.csv diff --git a/SurgeData/N=1000/196-time_c.csv b/SurgeData/196-time_c.csv similarity index 100% rename from SurgeData/N=1000/196-time_c.csv rename to SurgeData/196-time_c.csv diff --git a/SurgeData/N=1000/196-time_w.csv b/SurgeData/196-time_w.csv similarity index 100% rename from SurgeData/N=1000/196-time_w.csv rename to SurgeData/196-time_w.csv diff --git a/SurgeData/N=1000/196-waterlevel_c.csv b/SurgeData/196-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/196-waterlevel_c.csv rename to SurgeData/196-waterlevel_c.csv diff --git a/SurgeData/N=1000/196-waterlevel_w.csv b/SurgeData/196-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/196-waterlevel_w.csv rename to SurgeData/196-waterlevel_w.csv diff --git a/SurgeData/197-num_storm.csv b/SurgeData/197-num_storm.csv new file mode 100644 index 00000000..a4587b57 --- /dev/null +++ b/SurgeData/197-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,4.0 +2022,1.0,2.0 +2023,3.0,0.0 +2024,1.0,5.0 +2025,2.0,4.0 +2026,2.0,2.0 +2027,1.0,4.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,0.0,4.0 +2031,1.0,9.0 +2032,3.0,3.0 +2033,1.0,7.0 +2034,3.0,4.0 +2035,0.0,4.0 +2036,2.0,3.0 +2037,0.0,5.0 +2038,2.0,2.0 +2039,1.0,6.0 +2040,2.0,4.0 +2041,0.0,5.0 +2042,1.0,3.0 +2043,3.0,3.0 +2044,0.0,7.0 +2045,2.0,6.0 +2046,1.0,1.0 +2047,1.0,7.0 +2048,0.0,5.0 +2049,0.0,2.0 +2050,1.0,1.0 +2051,3.0,4.0 +2052,3.0,4.0 +2053,4.0,2.0 +2054,2.0,2.0 +2055,2.0,3.0 +2056,0.0,3.0 +2057,2.0,2.0 +2058,1.0,2.0 +2059,3.0,3.0 +2060,2.0,8.0 +2061,3.0,5.0 +2062,0.0,3.0 +2063,0.0,3.0 +2064,2.0,5.0 +2065,3.0,5.0 +2066,2.0,7.0 +2067,1.0,2.0 +2068,1.0,3.0 +2069,0.0,6.0 +2070,2.0,6.0 +2071,2.0,4.0 +2072,2.0,1.0 +2073,3.0,7.0 +2074,3.0,2.0 +2075,3.0,0.0 +2076,1.0,7.0 +2077,1.0,4.0 +2078,2.0,5.0 +2079,1.0,3.0 +2080,1.0,6.0 +2081,2.0,1.0 +2082,1.0,3.0 +2083,2.0,5.0 +2084,0.0,2.0 +2085,4.0,1.0 +2086,3.0,8.0 +2087,4.0,5.0 +2088,1.0,7.0 +2089,1.0,3.0 +2090,2.0,2.0 +2091,3.0,5.0 +2092,1.0,4.0 +2093,1.0,5.0 +2094,2.0,5.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,1.0,6.0 +2098,1.0,10.0 +2099,1.0,7.0 +2100,3.0,10.0 diff --git a/SurgeData/N=1000/197-peak+year_c.csv b/SurgeData/197-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/197-peak+year_c.csv rename to SurgeData/197-peak+year_c.csv diff --git a/SurgeData/N=1000/197-peak+year_w.csv b/SurgeData/197-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/197-peak+year_w.csv rename to SurgeData/197-peak+year_w.csv diff --git a/SurgeData/N=1000/197-peak_c.csv b/SurgeData/197-peak_c.csv similarity index 100% rename from SurgeData/N=1000/197-peak_c.csv rename to SurgeData/197-peak_c.csv diff --git a/SurgeData/N=1000/197-peak_w.csv b/SurgeData/197-peak_w.csv similarity index 100% rename from SurgeData/N=1000/197-peak_w.csv rename to SurgeData/197-peak_w.csv diff --git a/SurgeData/N=1000/197-surge_c.csv b/SurgeData/197-surge_c.csv similarity index 100% rename from SurgeData/N=1000/197-surge_c.csv rename to SurgeData/197-surge_c.csv diff --git a/SurgeData/N=1000/197-surge_w.csv b/SurgeData/197-surge_w.csv similarity index 100% rename from SurgeData/N=1000/197-surge_w.csv rename to SurgeData/197-surge_w.csv diff --git a/SurgeData/N=1000/197-time_c.csv b/SurgeData/197-time_c.csv similarity index 100% rename from SurgeData/N=1000/197-time_c.csv rename to SurgeData/197-time_c.csv diff --git a/SurgeData/N=1000/197-time_w.csv b/SurgeData/197-time_w.csv similarity index 100% rename from SurgeData/N=1000/197-time_w.csv rename to SurgeData/197-time_w.csv diff --git a/SurgeData/N=1000/197-waterlevel_c.csv b/SurgeData/197-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/197-waterlevel_c.csv rename to SurgeData/197-waterlevel_c.csv diff --git a/SurgeData/N=1000/197-waterlevel_w.csv b/SurgeData/197-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/197-waterlevel_w.csv rename to SurgeData/197-waterlevel_w.csv diff --git a/SurgeData/198-num_storm.csv b/SurgeData/198-num_storm.csv new file mode 100644 index 00000000..0228efe1 --- /dev/null +++ b/SurgeData/198-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,9.0 +2021,0.0,6.0 +2022,0.0,1.0 +2023,0.0,3.0 +2024,1.0,5.0 +2025,4.0,5.0 +2026,2.0,3.0 +2027,4.0,6.0 +2028,3.0,3.0 +2029,1.0,4.0 +2030,0.0,7.0 +2031,1.0,9.0 +2032,2.0,5.0 +2033,0.0,2.0 +2034,2.0,3.0 +2035,2.0,6.0 +2036,0.0,3.0 +2037,1.0,8.0 +2038,2.0,2.0 +2039,0.0,6.0 +2040,2.0,3.0 +2041,0.0,4.0 +2042,2.0,6.0 +2043,1.0,4.0 +2044,3.0,2.0 +2045,2.0,1.0 +2046,0.0,5.0 +2047,2.0,4.0 +2048,2.0,5.0 +2049,1.0,5.0 +2050,1.0,2.0 +2051,1.0,8.0 +2052,1.0,3.0 +2053,1.0,3.0 +2054,1.0,2.0 +2055,2.0,3.0 +2056,0.0,3.0 +2057,0.0,8.0 +2058,1.0,5.0 +2059,0.0,5.0 +2060,2.0,6.0 +2061,3.0,4.0 +2062,2.0,6.0 +2063,1.0,0.0 +2064,2.0,4.0 +2065,3.0,7.0 +2066,1.0,6.0 +2067,3.0,7.0 +2068,0.0,4.0 +2069,0.0,4.0 +2070,1.0,5.0 +2071,2.0,4.0 +2072,4.0,1.0 +2073,1.0,1.0 +2074,2.0,6.0 +2075,1.0,2.0 +2076,2.0,0.0 +2077,1.0,1.0 +2078,1.0,0.0 +2079,3.0,3.0 +2080,0.0,4.0 +2081,2.0,3.0 +2082,3.0,3.0 +2083,2.0,7.0 +2084,2.0,4.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,2.0,3.0 +2088,0.0,4.0 +2089,2.0,4.0 +2090,2.0,9.0 +2091,3.0,1.0 +2092,0.0,4.0 +2093,2.0,5.0 +2094,2.0,4.0 +2095,1.0,3.0 +2096,0.0,3.0 +2097,0.0,4.0 +2098,1.0,3.0 +2099,2.0,2.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/198-peak+year_c.csv b/SurgeData/198-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/198-peak+year_c.csv rename to SurgeData/198-peak+year_c.csv diff --git a/SurgeData/N=1000/198-peak+year_w.csv b/SurgeData/198-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/198-peak+year_w.csv rename to SurgeData/198-peak+year_w.csv diff --git a/SurgeData/N=1000/198-peak_c.csv b/SurgeData/198-peak_c.csv similarity index 100% rename from SurgeData/N=1000/198-peak_c.csv rename to SurgeData/198-peak_c.csv diff --git a/SurgeData/N=1000/198-peak_w.csv b/SurgeData/198-peak_w.csv similarity index 100% rename from SurgeData/N=1000/198-peak_w.csv rename to SurgeData/198-peak_w.csv diff --git a/SurgeData/N=1000/198-surge_c.csv b/SurgeData/198-surge_c.csv similarity index 100% rename from SurgeData/N=1000/198-surge_c.csv rename to SurgeData/198-surge_c.csv diff --git a/SurgeData/N=1000/198-surge_w.csv b/SurgeData/198-surge_w.csv similarity index 100% rename from SurgeData/N=1000/198-surge_w.csv rename to SurgeData/198-surge_w.csv diff --git a/SurgeData/N=1000/198-time_c.csv b/SurgeData/198-time_c.csv similarity index 100% rename from SurgeData/N=1000/198-time_c.csv rename to SurgeData/198-time_c.csv diff --git a/SurgeData/N=1000/198-time_w.csv b/SurgeData/198-time_w.csv similarity index 100% rename from SurgeData/N=1000/198-time_w.csv rename to SurgeData/198-time_w.csv diff --git a/SurgeData/N=1000/198-waterlevel_c.csv b/SurgeData/198-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/198-waterlevel_c.csv rename to SurgeData/198-waterlevel_c.csv diff --git a/SurgeData/N=1000/198-waterlevel_w.csv b/SurgeData/198-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/198-waterlevel_w.csv rename to SurgeData/198-waterlevel_w.csv diff --git a/SurgeData/199-num_storm.csv b/SurgeData/199-num_storm.csv new file mode 100644 index 00000000..fb72379d --- /dev/null +++ b/SurgeData/199-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,0.0,4.0 +2023,1.0,6.0 +2024,0.0,4.0 +2025,0.0,2.0 +2026,1.0,4.0 +2027,1.0,2.0 +2028,2.0,3.0 +2029,1.0,6.0 +2030,2.0,2.0 +2031,2.0,4.0 +2032,0.0,6.0 +2033,0.0,5.0 +2034,2.0,6.0 +2035,1.0,6.0 +2036,1.0,5.0 +2037,1.0,3.0 +2038,2.0,5.0 +2039,3.0,3.0 +2040,1.0,5.0 +2041,2.0,7.0 +2042,0.0,5.0 +2043,2.0,5.0 +2044,3.0,5.0 +2045,1.0,4.0 +2046,1.0,2.0 +2047,2.0,3.0 +2048,1.0,2.0 +2049,0.0,5.0 +2050,4.0,5.0 +2051,1.0,5.0 +2052,0.0,2.0 +2053,0.0,3.0 +2054,1.0,9.0 +2055,0.0,4.0 +2056,2.0,3.0 +2057,0.0,5.0 +2058,2.0,3.0 +2059,1.0,3.0 +2060,3.0,5.0 +2061,3.0,2.0 +2062,1.0,1.0 +2063,1.0,4.0 +2064,2.0,6.0 +2065,0.0,6.0 +2066,3.0,4.0 +2067,1.0,2.0 +2068,2.0,4.0 +2069,1.0,5.0 +2070,2.0,7.0 +2071,2.0,7.0 +2072,5.0,5.0 +2073,1.0,3.0 +2074,3.0,4.0 +2075,2.0,2.0 +2076,0.0,3.0 +2077,0.0,3.0 +2078,3.0,4.0 +2079,2.0,9.0 +2080,1.0,6.0 +2081,2.0,3.0 +2082,0.0,2.0 +2083,2.0,7.0 +2084,1.0,2.0 +2085,1.0,4.0 +2086,2.0,4.0 +2087,0.0,4.0 +2088,1.0,8.0 +2089,1.0,4.0 +2090,0.0,5.0 +2091,1.0,2.0 +2092,1.0,5.0 +2093,1.0,5.0 +2094,3.0,2.0 +2095,0.0,5.0 +2096,1.0,5.0 +2097,1.0,1.0 +2098,3.0,3.0 +2099,1.0,3.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/199-peak+year_c.csv b/SurgeData/199-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/199-peak+year_c.csv rename to SurgeData/199-peak+year_c.csv diff --git a/SurgeData/N=1000/199-peak+year_w.csv b/SurgeData/199-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/199-peak+year_w.csv rename to SurgeData/199-peak+year_w.csv diff --git a/SurgeData/N=1000/199-peak_c.csv b/SurgeData/199-peak_c.csv similarity index 100% rename from SurgeData/N=1000/199-peak_c.csv rename to SurgeData/199-peak_c.csv diff --git a/SurgeData/N=1000/199-peak_w.csv b/SurgeData/199-peak_w.csv similarity index 100% rename from SurgeData/N=1000/199-peak_w.csv rename to SurgeData/199-peak_w.csv diff --git a/SurgeData/N=1000/199-surge_c.csv b/SurgeData/199-surge_c.csv similarity index 100% rename from SurgeData/N=1000/199-surge_c.csv rename to SurgeData/199-surge_c.csv diff --git a/SurgeData/N=1000/199-surge_w.csv b/SurgeData/199-surge_w.csv similarity index 100% rename from SurgeData/N=1000/199-surge_w.csv rename to SurgeData/199-surge_w.csv diff --git a/SurgeData/N=1000/199-time_c.csv b/SurgeData/199-time_c.csv similarity index 100% rename from SurgeData/N=1000/199-time_c.csv rename to SurgeData/199-time_c.csv diff --git a/SurgeData/N=1000/199-time_w.csv b/SurgeData/199-time_w.csv similarity index 100% rename from SurgeData/N=1000/199-time_w.csv rename to SurgeData/199-time_w.csv diff --git a/SurgeData/N=1000/199-waterlevel_c.csv b/SurgeData/199-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/199-waterlevel_c.csv rename to SurgeData/199-waterlevel_c.csv diff --git a/SurgeData/N=1000/199-waterlevel_w.csv b/SurgeData/199-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/199-waterlevel_w.csv rename to SurgeData/199-waterlevel_w.csv diff --git a/SurgeData/2-num_storm.csv b/SurgeData/2-num_storm.csv new file mode 100644 index 00000000..815f8988 --- /dev/null +++ b/SurgeData/2-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,3.0 +2022,3.0,6.0 +2023,1.0,6.0 +2024,2.0,3.0 +2025,3.0,4.0 +2026,0.0,10.0 +2027,1.0,7.0 +2028,2.0,1.0 +2029,2.0,4.0 +2030,0.0,1.0 +2031,4.0,1.0 +2032,0.0,4.0 +2033,2.0,5.0 +2034,4.0,5.0 +2035,0.0,6.0 +2036,0.0,4.0 +2037,1.0,5.0 +2038,0.0,6.0 +2039,2.0,3.0 +2040,5.0,3.0 +2041,1.0,1.0 +2042,1.0,3.0 +2043,1.0,3.0 +2044,1.0,4.0 +2045,4.0,9.0 +2046,0.0,1.0 +2047,1.0,3.0 +2048,1.0,0.0 +2049,1.0,2.0 +2050,0.0,6.0 +2051,1.0,2.0 +2052,2.0,4.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,1.0,1.0 +2056,0.0,4.0 +2057,0.0,1.0 +2058,1.0,6.0 +2059,2.0,5.0 +2060,1.0,1.0 +2061,0.0,2.0 +2062,0.0,7.0 +2063,2.0,3.0 +2064,3.0,3.0 +2065,2.0,1.0 +2066,1.0,0.0 +2067,2.0,6.0 +2068,1.0,4.0 +2069,0.0,5.0 +2070,5.0,5.0 +2071,0.0,4.0 +2072,0.0,4.0 +2073,1.0,5.0 +2074,1.0,3.0 +2075,1.0,8.0 +2076,1.0,1.0 +2077,2.0,4.0 +2078,1.0,5.0 +2079,1.0,2.0 +2080,1.0,4.0 +2081,0.0,4.0 +2082,3.0,3.0 +2083,1.0,3.0 +2084,2.0,7.0 +2085,2.0,2.0 +2086,3.0,4.0 +2087,3.0,4.0 +2088,2.0,8.0 +2089,0.0,6.0 +2090,1.0,4.0 +2091,2.0,3.0 +2092,2.0,4.0 +2093,4.0,5.0 +2094,1.0,6.0 +2095,1.0,4.0 +2096,3.0,4.0 +2097,0.0,4.0 +2098,0.0,4.0 +2099,3.0,2.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/2-peak+year_c.csv b/SurgeData/2-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/2-peak+year_c.csv rename to SurgeData/2-peak+year_c.csv diff --git a/SurgeData/N=1000/2-peak+year_w.csv b/SurgeData/2-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/2-peak+year_w.csv rename to SurgeData/2-peak+year_w.csv diff --git a/SurgeData/N=1000/2-peak_c.csv b/SurgeData/2-peak_c.csv similarity index 100% rename from SurgeData/N=1000/2-peak_c.csv rename to SurgeData/2-peak_c.csv diff --git a/SurgeData/N=1000/2-peak_w.csv b/SurgeData/2-peak_w.csv similarity index 100% rename from SurgeData/N=1000/2-peak_w.csv rename to SurgeData/2-peak_w.csv diff --git a/SurgeData/N=1000/2-surge_c.csv b/SurgeData/2-surge_c.csv similarity index 100% rename from SurgeData/N=1000/2-surge_c.csv rename to SurgeData/2-surge_c.csv diff --git a/SurgeData/N=1000/2-surge_w.csv b/SurgeData/2-surge_w.csv similarity index 100% rename from SurgeData/N=1000/2-surge_w.csv rename to SurgeData/2-surge_w.csv diff --git a/SurgeData/N=1000/2-time_c.csv b/SurgeData/2-time_c.csv similarity index 100% rename from SurgeData/N=1000/2-time_c.csv rename to SurgeData/2-time_c.csv diff --git a/SurgeData/N=1000/2-time_w.csv b/SurgeData/2-time_w.csv similarity index 100% rename from SurgeData/N=1000/2-time_w.csv rename to SurgeData/2-time_w.csv diff --git a/SurgeData/N=1000/2-waterlevel_c.csv b/SurgeData/2-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/2-waterlevel_c.csv rename to SurgeData/2-waterlevel_c.csv diff --git a/SurgeData/N=1000/2-waterlevel_w.csv b/SurgeData/2-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/2-waterlevel_w.csv rename to SurgeData/2-waterlevel_w.csv diff --git a/SurgeData/20-num_storm.csv b/SurgeData/20-num_storm.csv new file mode 100644 index 00000000..142b4e76 --- /dev/null +++ b/SurgeData/20-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,3.0,1.0 +2022,1.0,1.0 +2023,1.0,4.0 +2024,1.0,3.0 +2025,2.0,7.0 +2026,0.0,4.0 +2027,2.0,4.0 +2028,2.0,2.0 +2029,0.0,4.0 +2030,0.0,4.0 +2031,1.0,4.0 +2032,1.0,6.0 +2033,1.0,3.0 +2034,4.0,5.0 +2035,4.0,3.0 +2036,1.0,3.0 +2037,1.0,6.0 +2038,1.0,4.0 +2039,0.0,3.0 +2040,3.0,7.0 +2041,0.0,3.0 +2042,0.0,3.0 +2043,1.0,2.0 +2044,0.0,6.0 +2045,1.0,7.0 +2046,1.0,3.0 +2047,4.0,4.0 +2048,1.0,5.0 +2049,0.0,3.0 +2050,2.0,5.0 +2051,3.0,5.0 +2052,3.0,5.0 +2053,1.0,6.0 +2054,1.0,2.0 +2055,0.0,3.0 +2056,2.0,4.0 +2057,2.0,4.0 +2058,1.0,1.0 +2059,2.0,5.0 +2060,3.0,4.0 +2061,1.0,6.0 +2062,1.0,2.0 +2063,3.0,6.0 +2064,2.0,6.0 +2065,1.0,5.0 +2066,1.0,4.0 +2067,2.0,5.0 +2068,1.0,5.0 +2069,2.0,2.0 +2070,1.0,3.0 +2071,2.0,4.0 +2072,0.0,2.0 +2073,1.0,3.0 +2074,2.0,3.0 +2075,3.0,7.0 +2076,1.0,5.0 +2077,2.0,6.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,0.0,3.0 +2081,3.0,2.0 +2082,0.0,6.0 +2083,5.0,6.0 +2084,0.0,3.0 +2085,0.0,0.0 +2086,0.0,4.0 +2087,1.0,8.0 +2088,6.0,5.0 +2089,3.0,3.0 +2090,3.0,6.0 +2091,3.0,4.0 +2092,0.0,8.0 +2093,0.0,5.0 +2094,0.0,5.0 +2095,3.0,6.0 +2096,2.0,5.0 +2097,2.0,6.0 +2098,2.0,6.0 +2099,1.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/20-peak+year_c.csv b/SurgeData/20-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/20-peak+year_c.csv rename to SurgeData/20-peak+year_c.csv diff --git a/SurgeData/N=1000/20-peak+year_w.csv b/SurgeData/20-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/20-peak+year_w.csv rename to SurgeData/20-peak+year_w.csv diff --git a/SurgeData/N=1000/20-peak_c.csv b/SurgeData/20-peak_c.csv similarity index 100% rename from SurgeData/N=1000/20-peak_c.csv rename to SurgeData/20-peak_c.csv diff --git a/SurgeData/N=1000/20-peak_w.csv b/SurgeData/20-peak_w.csv similarity index 100% rename from SurgeData/N=1000/20-peak_w.csv rename to SurgeData/20-peak_w.csv diff --git a/SurgeData/N=1000/20-surge_c.csv b/SurgeData/20-surge_c.csv similarity index 100% rename from SurgeData/N=1000/20-surge_c.csv rename to SurgeData/20-surge_c.csv diff --git a/SurgeData/N=1000/20-surge_w.csv b/SurgeData/20-surge_w.csv similarity index 100% rename from SurgeData/N=1000/20-surge_w.csv rename to SurgeData/20-surge_w.csv diff --git a/SurgeData/N=1000/20-time_c.csv b/SurgeData/20-time_c.csv similarity index 100% rename from SurgeData/N=1000/20-time_c.csv rename to SurgeData/20-time_c.csv diff --git a/SurgeData/N=1000/20-time_w.csv b/SurgeData/20-time_w.csv similarity index 100% rename from SurgeData/N=1000/20-time_w.csv rename to SurgeData/20-time_w.csv diff --git a/SurgeData/N=1000/20-waterlevel_c.csv b/SurgeData/20-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/20-waterlevel_c.csv rename to SurgeData/20-waterlevel_c.csv diff --git a/SurgeData/N=1000/20-waterlevel_w.csv b/SurgeData/20-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/20-waterlevel_w.csv rename to SurgeData/20-waterlevel_w.csv diff --git a/SurgeData/200-num_storm.csv b/SurgeData/200-num_storm.csv new file mode 100644 index 00000000..5aaa54b7 --- /dev/null +++ b/SurgeData/200-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,4.0,3.0 +2022,2.0,4.0 +2023,2.0,5.0 +2024,1.0,5.0 +2025,2.0,5.0 +2026,1.0,2.0 +2027,4.0,8.0 +2028,1.0,5.0 +2029,0.0,2.0 +2030,0.0,5.0 +2031,3.0,1.0 +2032,3.0,4.0 +2033,0.0,3.0 +2034,2.0,8.0 +2035,1.0,4.0 +2036,0.0,4.0 +2037,2.0,4.0 +2038,0.0,3.0 +2039,3.0,5.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,3.0,4.0 +2043,0.0,7.0 +2044,0.0,5.0 +2045,2.0,1.0 +2046,2.0,3.0 +2047,2.0,7.0 +2048,3.0,3.0 +2049,1.0,4.0 +2050,2.0,5.0 +2051,1.0,2.0 +2052,1.0,5.0 +2053,2.0,4.0 +2054,1.0,5.0 +2055,3.0,3.0 +2056,3.0,3.0 +2057,2.0,5.0 +2058,2.0,1.0 +2059,2.0,1.0 +2060,1.0,1.0 +2061,4.0,2.0 +2062,3.0,4.0 +2063,1.0,9.0 +2064,0.0,6.0 +2065,1.0,2.0 +2066,1.0,5.0 +2067,1.0,2.0 +2068,1.0,4.0 +2069,3.0,8.0 +2070,3.0,5.0 +2071,2.0,4.0 +2072,1.0,5.0 +2073,2.0,5.0 +2074,2.0,3.0 +2075,3.0,8.0 +2076,2.0,4.0 +2077,3.0,2.0 +2078,1.0,3.0 +2079,1.0,5.0 +2080,0.0,3.0 +2081,2.0,7.0 +2082,2.0,5.0 +2083,2.0,4.0 +2084,0.0,4.0 +2085,4.0,3.0 +2086,0.0,6.0 +2087,4.0,4.0 +2088,3.0,1.0 +2089,1.0,7.0 +2090,0.0,4.0 +2091,4.0,4.0 +2092,1.0,4.0 +2093,1.0,5.0 +2094,2.0,9.0 +2095,1.0,6.0 +2096,1.0,2.0 +2097,0.0,1.0 +2098,1.0,3.0 +2099,1.0,8.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/200-peak+year_c.csv b/SurgeData/200-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/200-peak+year_c.csv rename to SurgeData/200-peak+year_c.csv diff --git a/SurgeData/N=1000/200-peak+year_w.csv b/SurgeData/200-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/200-peak+year_w.csv rename to SurgeData/200-peak+year_w.csv diff --git a/SurgeData/N=1000/200-peak_c.csv b/SurgeData/200-peak_c.csv similarity index 100% rename from SurgeData/N=1000/200-peak_c.csv rename to SurgeData/200-peak_c.csv diff --git a/SurgeData/N=1000/200-peak_w.csv b/SurgeData/200-peak_w.csv similarity index 100% rename from SurgeData/N=1000/200-peak_w.csv rename to SurgeData/200-peak_w.csv diff --git a/SurgeData/N=1000/200-surge_c.csv b/SurgeData/200-surge_c.csv similarity index 100% rename from SurgeData/N=1000/200-surge_c.csv rename to SurgeData/200-surge_c.csv diff --git a/SurgeData/N=1000/200-surge_w.csv b/SurgeData/200-surge_w.csv similarity index 100% rename from SurgeData/N=1000/200-surge_w.csv rename to SurgeData/200-surge_w.csv diff --git a/SurgeData/N=1000/200-time_c.csv b/SurgeData/200-time_c.csv similarity index 100% rename from SurgeData/N=1000/200-time_c.csv rename to SurgeData/200-time_c.csv diff --git a/SurgeData/N=1000/200-time_w.csv b/SurgeData/200-time_w.csv similarity index 100% rename from SurgeData/N=1000/200-time_w.csv rename to SurgeData/200-time_w.csv diff --git a/SurgeData/N=1000/200-waterlevel_c.csv b/SurgeData/200-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/200-waterlevel_c.csv rename to SurgeData/200-waterlevel_c.csv diff --git a/SurgeData/N=1000/200-waterlevel_w.csv b/SurgeData/200-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/200-waterlevel_w.csv rename to SurgeData/200-waterlevel_w.csv diff --git a/SurgeData/201-num_storm.csv b/SurgeData/201-num_storm.csv new file mode 100644 index 00000000..0087eed9 --- /dev/null +++ b/SurgeData/201-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,3.0 +2022,3.0,4.0 +2023,0.0,2.0 +2024,4.0,6.0 +2025,0.0,1.0 +2026,1.0,4.0 +2027,0.0,5.0 +2028,2.0,4.0 +2029,3.0,3.0 +2030,0.0,2.0 +2031,1.0,1.0 +2032,2.0,3.0 +2033,0.0,6.0 +2034,0.0,3.0 +2035,2.0,7.0 +2036,0.0,6.0 +2037,2.0,5.0 +2038,0.0,3.0 +2039,4.0,4.0 +2040,5.0,3.0 +2041,5.0,3.0 +2042,2.0,7.0 +2043,1.0,1.0 +2044,2.0,4.0 +2045,1.0,3.0 +2046,0.0,4.0 +2047,1.0,5.0 +2048,1.0,1.0 +2049,4.0,5.0 +2050,0.0,6.0 +2051,0.0,3.0 +2052,3.0,3.0 +2053,1.0,4.0 +2054,2.0,2.0 +2055,1.0,7.0 +2056,0.0,5.0 +2057,1.0,6.0 +2058,2.0,2.0 +2059,1.0,5.0 +2060,1.0,6.0 +2061,1.0,2.0 +2062,2.0,5.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,2.0,6.0 +2066,0.0,2.0 +2067,4.0,8.0 +2068,3.0,8.0 +2069,2.0,2.0 +2070,2.0,5.0 +2071,5.0,2.0 +2072,2.0,3.0 +2073,1.0,3.0 +2074,2.0,5.0 +2075,1.0,6.0 +2076,1.0,5.0 +2077,4.0,3.0 +2078,0.0,4.0 +2079,3.0,4.0 +2080,1.0,3.0 +2081,1.0,6.0 +2082,0.0,2.0 +2083,0.0,3.0 +2084,0.0,5.0 +2085,1.0,9.0 +2086,3.0,3.0 +2087,1.0,7.0 +2088,0.0,4.0 +2089,1.0,9.0 +2090,1.0,5.0 +2091,4.0,3.0 +2092,0.0,5.0 +2093,2.0,3.0 +2094,1.0,5.0 +2095,4.0,3.0 +2096,2.0,2.0 +2097,3.0,5.0 +2098,2.0,2.0 +2099,2.0,9.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/201-peak+year_c.csv b/SurgeData/201-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/201-peak+year_c.csv rename to SurgeData/201-peak+year_c.csv diff --git a/SurgeData/N=1000/201-peak+year_w.csv b/SurgeData/201-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/201-peak+year_w.csv rename to SurgeData/201-peak+year_w.csv diff --git a/SurgeData/N=1000/201-peak_c.csv b/SurgeData/201-peak_c.csv similarity index 100% rename from SurgeData/N=1000/201-peak_c.csv rename to SurgeData/201-peak_c.csv diff --git a/SurgeData/N=1000/201-peak_w.csv b/SurgeData/201-peak_w.csv similarity index 100% rename from SurgeData/N=1000/201-peak_w.csv rename to SurgeData/201-peak_w.csv diff --git a/SurgeData/N=1000/201-surge_c.csv b/SurgeData/201-surge_c.csv similarity index 100% rename from SurgeData/N=1000/201-surge_c.csv rename to SurgeData/201-surge_c.csv diff --git a/SurgeData/N=1000/201-surge_w.csv b/SurgeData/201-surge_w.csv similarity index 100% rename from SurgeData/N=1000/201-surge_w.csv rename to SurgeData/201-surge_w.csv diff --git a/SurgeData/N=1000/201-time_c.csv b/SurgeData/201-time_c.csv similarity index 100% rename from SurgeData/N=1000/201-time_c.csv rename to SurgeData/201-time_c.csv diff --git a/SurgeData/N=1000/201-time_w.csv b/SurgeData/201-time_w.csv similarity index 100% rename from SurgeData/N=1000/201-time_w.csv rename to SurgeData/201-time_w.csv diff --git a/SurgeData/N=1000/201-waterlevel_c.csv b/SurgeData/201-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/201-waterlevel_c.csv rename to SurgeData/201-waterlevel_c.csv diff --git a/SurgeData/N=1000/201-waterlevel_w.csv b/SurgeData/201-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/201-waterlevel_w.csv rename to SurgeData/201-waterlevel_w.csv diff --git a/SurgeData/N=1000/202-peak+year_c.csv b/SurgeData/202-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/202-peak+year_c.csv rename to SurgeData/202-peak+year_c.csv diff --git a/SurgeData/N=1000/202-peak+year_w.csv b/SurgeData/202-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/202-peak+year_w.csv rename to SurgeData/202-peak+year_w.csv diff --git a/SurgeData/N=1000/202-peak_c.csv b/SurgeData/202-peak_c.csv similarity index 100% rename from SurgeData/N=1000/202-peak_c.csv rename to SurgeData/202-peak_c.csv diff --git a/SurgeData/N=1000/202-peak_w.csv b/SurgeData/202-peak_w.csv similarity index 100% rename from SurgeData/N=1000/202-peak_w.csv rename to SurgeData/202-peak_w.csv diff --git a/SurgeData/N=1000/202-surge_c.csv b/SurgeData/202-surge_c.csv similarity index 100% rename from SurgeData/N=1000/202-surge_c.csv rename to SurgeData/202-surge_c.csv diff --git a/SurgeData/N=1000/202-surge_w.csv b/SurgeData/202-surge_w.csv similarity index 100% rename from SurgeData/N=1000/202-surge_w.csv rename to SurgeData/202-surge_w.csv diff --git a/SurgeData/N=1000/202-time_c.csv b/SurgeData/202-time_c.csv similarity index 100% rename from SurgeData/N=1000/202-time_c.csv rename to SurgeData/202-time_c.csv diff --git a/SurgeData/N=1000/202-time_w.csv b/SurgeData/202-time_w.csv similarity index 100% rename from SurgeData/N=1000/202-time_w.csv rename to SurgeData/202-time_w.csv diff --git a/SurgeData/N=1000/202-waterlevel_c.csv b/SurgeData/202-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/202-waterlevel_c.csv rename to SurgeData/202-waterlevel_c.csv diff --git a/SurgeData/N=1000/202-waterlevel_w.csv b/SurgeData/202-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/202-waterlevel_w.csv rename to SurgeData/202-waterlevel_w.csv diff --git a/SurgeData/203-num_storm.csv b/SurgeData/203-num_storm.csv new file mode 100644 index 00000000..15648ce6 --- /dev/null +++ b/SurgeData/203-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,1.0 +2022,0.0,2.0 +2023,0.0,4.0 +2024,0.0,4.0 +2025,2.0,6.0 +2026,1.0,5.0 +2027,3.0,5.0 +2028,3.0,9.0 +2029,1.0,4.0 +2030,2.0,5.0 +2031,0.0,1.0 +2032,1.0,6.0 +2033,0.0,3.0 +2034,4.0,5.0 +2035,0.0,2.0 +2036,4.0,6.0 +2037,4.0,8.0 +2038,4.0,5.0 +2039,1.0,8.0 +2040,4.0,4.0 +2041,1.0,4.0 +2042,0.0,4.0 +2043,2.0,3.0 +2044,6.0,8.0 +2045,3.0,4.0 +2046,0.0,1.0 +2047,1.0,7.0 +2048,3.0,3.0 +2049,2.0,2.0 +2050,1.0,5.0 +2051,2.0,4.0 +2052,2.0,7.0 +2053,0.0,2.0 +2054,1.0,3.0 +2055,1.0,7.0 +2056,2.0,7.0 +2057,1.0,2.0 +2058,3.0,2.0 +2059,1.0,7.0 +2060,1.0,6.0 +2061,0.0,5.0 +2062,2.0,3.0 +2063,3.0,3.0 +2064,0.0,2.0 +2065,3.0,3.0 +2066,3.0,5.0 +2067,1.0,4.0 +2068,1.0,5.0 +2069,1.0,3.0 +2070,2.0,5.0 +2071,0.0,5.0 +2072,1.0,2.0 +2073,1.0,2.0 +2074,1.0,3.0 +2075,1.0,4.0 +2076,4.0,3.0 +2077,1.0,5.0 +2078,3.0,5.0 +2079,3.0,6.0 +2080,2.0,2.0 +2081,2.0,4.0 +2082,4.0,3.0 +2083,0.0,4.0 +2084,2.0,5.0 +2085,2.0,8.0 +2086,1.0,4.0 +2087,0.0,5.0 +2088,0.0,5.0 +2089,0.0,6.0 +2090,2.0,4.0 +2091,0.0,13.0 +2092,5.0,1.0 +2093,1.0,2.0 +2094,2.0,3.0 +2095,1.0,7.0 +2096,2.0,5.0 +2097,2.0,2.0 +2098,3.0,6.0 +2099,2.0,4.0 +2100,4.0,1.0 diff --git a/SurgeData/N=1000/203-peak+year_c.csv b/SurgeData/203-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/203-peak+year_c.csv rename to SurgeData/203-peak+year_c.csv diff --git a/SurgeData/N=1000/203-peak+year_w.csv b/SurgeData/203-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/203-peak+year_w.csv rename to SurgeData/203-peak+year_w.csv diff --git a/SurgeData/N=1000/203-peak_c.csv b/SurgeData/203-peak_c.csv similarity index 100% rename from SurgeData/N=1000/203-peak_c.csv rename to SurgeData/203-peak_c.csv diff --git a/SurgeData/N=1000/203-peak_w.csv b/SurgeData/203-peak_w.csv similarity index 100% rename from SurgeData/N=1000/203-peak_w.csv rename to SurgeData/203-peak_w.csv diff --git a/SurgeData/N=1000/203-surge_c.csv b/SurgeData/203-surge_c.csv similarity index 100% rename from SurgeData/N=1000/203-surge_c.csv rename to SurgeData/203-surge_c.csv diff --git a/SurgeData/N=1000/203-surge_w.csv b/SurgeData/203-surge_w.csv similarity index 100% rename from SurgeData/N=1000/203-surge_w.csv rename to SurgeData/203-surge_w.csv diff --git a/SurgeData/N=1000/203-time_c.csv b/SurgeData/203-time_c.csv similarity index 100% rename from SurgeData/N=1000/203-time_c.csv rename to SurgeData/203-time_c.csv diff --git a/SurgeData/N=1000/203-time_w.csv b/SurgeData/203-time_w.csv similarity index 100% rename from SurgeData/N=1000/203-time_w.csv rename to SurgeData/203-time_w.csv diff --git a/SurgeData/N=1000/203-waterlevel_c.csv b/SurgeData/203-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/203-waterlevel_c.csv rename to SurgeData/203-waterlevel_c.csv diff --git a/SurgeData/N=1000/203-waterlevel_w.csv b/SurgeData/203-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/203-waterlevel_w.csv rename to SurgeData/203-waterlevel_w.csv diff --git a/SurgeData/N=1000/204-peak+year_c.csv b/SurgeData/204-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/204-peak+year_c.csv rename to SurgeData/204-peak+year_c.csv diff --git a/SurgeData/N=1000/204-peak+year_w.csv b/SurgeData/204-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/204-peak+year_w.csv rename to SurgeData/204-peak+year_w.csv diff --git a/SurgeData/N=1000/204-peak_c.csv b/SurgeData/204-peak_c.csv similarity index 100% rename from SurgeData/N=1000/204-peak_c.csv rename to SurgeData/204-peak_c.csv diff --git a/SurgeData/N=1000/204-peak_w.csv b/SurgeData/204-peak_w.csv similarity index 100% rename from SurgeData/N=1000/204-peak_w.csv rename to SurgeData/204-peak_w.csv diff --git a/SurgeData/N=1000/204-surge_c.csv b/SurgeData/204-surge_c.csv similarity index 100% rename from SurgeData/N=1000/204-surge_c.csv rename to SurgeData/204-surge_c.csv diff --git a/SurgeData/N=1000/204-surge_w.csv b/SurgeData/204-surge_w.csv similarity index 100% rename from SurgeData/N=1000/204-surge_w.csv rename to SurgeData/204-surge_w.csv diff --git a/SurgeData/N=1000/204-time_c.csv b/SurgeData/204-time_c.csv similarity index 100% rename from SurgeData/N=1000/204-time_c.csv rename to SurgeData/204-time_c.csv diff --git a/SurgeData/N=1000/204-time_w.csv b/SurgeData/204-time_w.csv similarity index 100% rename from SurgeData/N=1000/204-time_w.csv rename to SurgeData/204-time_w.csv diff --git a/SurgeData/N=1000/204-waterlevel_c.csv b/SurgeData/204-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/204-waterlevel_c.csv rename to SurgeData/204-waterlevel_c.csv diff --git a/SurgeData/N=1000/204-waterlevel_w.csv b/SurgeData/204-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/204-waterlevel_w.csv rename to SurgeData/204-waterlevel_w.csv diff --git a/SurgeData/N=1000/205-peak+year_c.csv b/SurgeData/205-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/205-peak+year_c.csv rename to SurgeData/205-peak+year_c.csv diff --git a/SurgeData/N=1000/205-peak+year_w.csv b/SurgeData/205-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/205-peak+year_w.csv rename to SurgeData/205-peak+year_w.csv diff --git a/SurgeData/N=1000/205-peak_c.csv b/SurgeData/205-peak_c.csv similarity index 100% rename from SurgeData/N=1000/205-peak_c.csv rename to SurgeData/205-peak_c.csv diff --git a/SurgeData/N=1000/205-peak_w.csv b/SurgeData/205-peak_w.csv similarity index 100% rename from SurgeData/N=1000/205-peak_w.csv rename to SurgeData/205-peak_w.csv diff --git a/SurgeData/N=1000/205-surge_c.csv b/SurgeData/205-surge_c.csv similarity index 100% rename from SurgeData/N=1000/205-surge_c.csv rename to SurgeData/205-surge_c.csv diff --git a/SurgeData/N=1000/205-surge_w.csv b/SurgeData/205-surge_w.csv similarity index 100% rename from SurgeData/N=1000/205-surge_w.csv rename to SurgeData/205-surge_w.csv diff --git a/SurgeData/N=1000/205-time_c.csv b/SurgeData/205-time_c.csv similarity index 100% rename from SurgeData/N=1000/205-time_c.csv rename to SurgeData/205-time_c.csv diff --git a/SurgeData/N=1000/205-time_w.csv b/SurgeData/205-time_w.csv similarity index 100% rename from SurgeData/N=1000/205-time_w.csv rename to SurgeData/205-time_w.csv diff --git a/SurgeData/N=1000/205-waterlevel_c.csv b/SurgeData/205-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/205-waterlevel_c.csv rename to SurgeData/205-waterlevel_c.csv diff --git a/SurgeData/N=1000/205-waterlevel_w.csv b/SurgeData/205-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/205-waterlevel_w.csv rename to SurgeData/205-waterlevel_w.csv diff --git a/SurgeData/N=1000/206-peak+year_c.csv b/SurgeData/206-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/206-peak+year_c.csv rename to SurgeData/206-peak+year_c.csv diff --git a/SurgeData/N=1000/206-peak+year_w.csv b/SurgeData/206-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/206-peak+year_w.csv rename to SurgeData/206-peak+year_w.csv diff --git a/SurgeData/N=1000/206-peak_c.csv b/SurgeData/206-peak_c.csv similarity index 100% rename from SurgeData/N=1000/206-peak_c.csv rename to SurgeData/206-peak_c.csv diff --git a/SurgeData/N=1000/206-peak_w.csv b/SurgeData/206-peak_w.csv similarity index 100% rename from SurgeData/N=1000/206-peak_w.csv rename to SurgeData/206-peak_w.csv diff --git a/SurgeData/N=1000/206-surge_c.csv b/SurgeData/206-surge_c.csv similarity index 100% rename from SurgeData/N=1000/206-surge_c.csv rename to SurgeData/206-surge_c.csv diff --git a/SurgeData/N=1000/206-surge_w.csv b/SurgeData/206-surge_w.csv similarity index 100% rename from SurgeData/N=1000/206-surge_w.csv rename to SurgeData/206-surge_w.csv diff --git a/SurgeData/N=1000/206-time_c.csv b/SurgeData/206-time_c.csv similarity index 100% rename from SurgeData/N=1000/206-time_c.csv rename to SurgeData/206-time_c.csv diff --git a/SurgeData/N=1000/206-time_w.csv b/SurgeData/206-time_w.csv similarity index 100% rename from SurgeData/N=1000/206-time_w.csv rename to SurgeData/206-time_w.csv diff --git a/SurgeData/N=1000/206-waterlevel_c.csv b/SurgeData/206-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/206-waterlevel_c.csv rename to SurgeData/206-waterlevel_c.csv diff --git a/SurgeData/N=1000/206-waterlevel_w.csv b/SurgeData/206-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/206-waterlevel_w.csv rename to SurgeData/206-waterlevel_w.csv diff --git a/SurgeData/207-num_storm.csv b/SurgeData/207-num_storm.csv new file mode 100644 index 00000000..4b053299 --- /dev/null +++ b/SurgeData/207-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,1.0 +2022,2.0,3.0 +2023,1.0,1.0 +2024,4.0,3.0 +2025,0.0,2.0 +2026,3.0,7.0 +2027,0.0,5.0 +2028,1.0,4.0 +2029,2.0,5.0 +2030,2.0,4.0 +2031,0.0,4.0 +2032,1.0,2.0 +2033,1.0,4.0 +2034,1.0,5.0 +2035,0.0,1.0 +2036,4.0,1.0 +2037,1.0,3.0 +2038,0.0,7.0 +2039,2.0,2.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,2.0,7.0 +2043,0.0,5.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,0.0,8.0 +2047,1.0,9.0 +2048,4.0,4.0 +2049,4.0,6.0 +2050,3.0,2.0 +2051,1.0,3.0 +2052,0.0,3.0 +2053,0.0,3.0 +2054,3.0,4.0 +2055,1.0,5.0 +2056,3.0,2.0 +2057,1.0,4.0 +2058,1.0,3.0 +2059,1.0,2.0 +2060,1.0,4.0 +2061,1.0,7.0 +2062,1.0,6.0 +2063,4.0,2.0 +2064,2.0,5.0 +2065,4.0,2.0 +2066,0.0,4.0 +2067,0.0,4.0 +2068,3.0,2.0 +2069,1.0,4.0 +2070,0.0,2.0 +2071,1.0,3.0 +2072,1.0,2.0 +2073,0.0,7.0 +2074,3.0,5.0 +2075,0.0,4.0 +2076,1.0,4.0 +2077,1.0,1.0 +2078,2.0,4.0 +2079,2.0,2.0 +2080,1.0,6.0 +2081,1.0,3.0 +2082,2.0,3.0 +2083,2.0,0.0 +2084,4.0,5.0 +2085,4.0,5.0 +2086,0.0,2.0 +2087,3.0,2.0 +2088,2.0,1.0 +2089,2.0,8.0 +2090,0.0,3.0 +2091,1.0,6.0 +2092,1.0,3.0 +2093,3.0,3.0 +2094,1.0,4.0 +2095,2.0,2.0 +2096,2.0,4.0 +2097,3.0,7.0 +2098,2.0,4.0 +2099,3.0,5.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/207-peak+year_c.csv b/SurgeData/207-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/207-peak+year_c.csv rename to SurgeData/207-peak+year_c.csv diff --git a/SurgeData/N=1000/207-peak+year_w.csv b/SurgeData/207-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/207-peak+year_w.csv rename to SurgeData/207-peak+year_w.csv diff --git a/SurgeData/N=1000/207-peak_c.csv b/SurgeData/207-peak_c.csv similarity index 100% rename from SurgeData/N=1000/207-peak_c.csv rename to SurgeData/207-peak_c.csv diff --git a/SurgeData/N=1000/207-peak_w.csv b/SurgeData/207-peak_w.csv similarity index 100% rename from SurgeData/N=1000/207-peak_w.csv rename to SurgeData/207-peak_w.csv diff --git a/SurgeData/N=1000/207-surge_c.csv b/SurgeData/207-surge_c.csv similarity index 100% rename from SurgeData/N=1000/207-surge_c.csv rename to SurgeData/207-surge_c.csv diff --git a/SurgeData/N=1000/207-surge_w.csv b/SurgeData/207-surge_w.csv similarity index 100% rename from SurgeData/N=1000/207-surge_w.csv rename to SurgeData/207-surge_w.csv diff --git a/SurgeData/N=1000/207-time_c.csv b/SurgeData/207-time_c.csv similarity index 100% rename from SurgeData/N=1000/207-time_c.csv rename to SurgeData/207-time_c.csv diff --git a/SurgeData/N=1000/207-time_w.csv b/SurgeData/207-time_w.csv similarity index 100% rename from SurgeData/N=1000/207-time_w.csv rename to SurgeData/207-time_w.csv diff --git a/SurgeData/N=1000/207-waterlevel_c.csv b/SurgeData/207-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/207-waterlevel_c.csv rename to SurgeData/207-waterlevel_c.csv diff --git a/SurgeData/N=1000/207-waterlevel_w.csv b/SurgeData/207-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/207-waterlevel_w.csv rename to SurgeData/207-waterlevel_w.csv diff --git a/SurgeData/208-num_storm.csv b/SurgeData/208-num_storm.csv new file mode 100644 index 00000000..8e2360ad --- /dev/null +++ b/SurgeData/208-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,5.0 +2022,3.0,4.0 +2023,3.0,3.0 +2024,2.0,5.0 +2025,1.0,6.0 +2026,2.0,3.0 +2027,0.0,4.0 +2028,2.0,8.0 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+2100,2.0,1.0 diff --git a/SurgeData/N=1000/208-peak+year_c.csv b/SurgeData/208-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/208-peak+year_c.csv rename to SurgeData/208-peak+year_c.csv diff --git a/SurgeData/N=1000/208-peak+year_w.csv b/SurgeData/208-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/208-peak+year_w.csv rename to SurgeData/208-peak+year_w.csv diff --git a/SurgeData/N=1000/208-peak_c.csv b/SurgeData/208-peak_c.csv similarity index 100% rename from SurgeData/N=1000/208-peak_c.csv rename to SurgeData/208-peak_c.csv diff --git a/SurgeData/N=1000/208-peak_w.csv b/SurgeData/208-peak_w.csv similarity index 100% rename from SurgeData/N=1000/208-peak_w.csv rename to SurgeData/208-peak_w.csv diff --git a/SurgeData/N=1000/208-surge_c.csv b/SurgeData/208-surge_c.csv similarity index 100% rename from SurgeData/N=1000/208-surge_c.csv rename to SurgeData/208-surge_c.csv diff --git a/SurgeData/N=1000/208-surge_w.csv b/SurgeData/208-surge_w.csv similarity index 100% rename from SurgeData/N=1000/208-surge_w.csv rename to SurgeData/208-surge_w.csv diff --git a/SurgeData/N=1000/208-time_c.csv b/SurgeData/208-time_c.csv similarity index 100% rename from SurgeData/N=1000/208-time_c.csv rename to SurgeData/208-time_c.csv diff --git a/SurgeData/N=1000/208-time_w.csv b/SurgeData/208-time_w.csv similarity index 100% rename from SurgeData/N=1000/208-time_w.csv rename to SurgeData/208-time_w.csv diff --git a/SurgeData/N=1000/208-waterlevel_c.csv b/SurgeData/208-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/208-waterlevel_c.csv rename to SurgeData/208-waterlevel_c.csv diff --git a/SurgeData/N=1000/208-waterlevel_w.csv b/SurgeData/208-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/208-waterlevel_w.csv rename to SurgeData/208-waterlevel_w.csv diff --git a/SurgeData/209-num_storm.csv b/SurgeData/209-num_storm.csv new file mode 100644 index 00000000..5f5bcde0 --- /dev/null +++ b/SurgeData/209-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,3.0 +2022,2.0,3.0 +2023,1.0,6.0 +2024,0.0,2.0 +2025,0.0,3.0 +2026,2.0,2.0 +2027,1.0,1.0 +2028,2.0,5.0 +2029,1.0,1.0 +2030,3.0,6.0 +2031,3.0,3.0 +2032,2.0,5.0 +2033,1.0,2.0 +2034,2.0,3.0 +2035,0.0,3.0 +2036,2.0,0.0 +2037,3.0,5.0 +2038,1.0,7.0 +2039,1.0,0.0 +2040,2.0,6.0 +2041,2.0,3.0 +2042,2.0,3.0 +2043,2.0,5.0 +2044,1.0,5.0 +2045,2.0,6.0 +2046,3.0,5.0 +2047,2.0,5.0 +2048,1.0,3.0 +2049,1.0,4.0 +2050,3.0,5.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,1.0,8.0 +2054,0.0,3.0 +2055,1.0,4.0 +2056,2.0,2.0 +2057,1.0,4.0 +2058,0.0,9.0 +2059,1.0,3.0 +2060,0.0,3.0 +2061,0.0,7.0 +2062,3.0,4.0 +2063,1.0,9.0 +2064,2.0,5.0 +2065,1.0,1.0 +2066,3.0,5.0 +2067,2.0,1.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,0.0,8.0 +2071,2.0,1.0 +2072,0.0,4.0 +2073,6.0,1.0 +2074,0.0,3.0 +2075,5.0,4.0 +2076,1.0,4.0 +2077,0.0,6.0 +2078,1.0,2.0 +2079,2.0,5.0 +2080,2.0,3.0 +2081,4.0,5.0 +2082,0.0,6.0 +2083,1.0,8.0 +2084,1.0,4.0 +2085,1.0,9.0 +2086,1.0,6.0 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b/SurgeData/209-surge_c.csv similarity index 100% rename from SurgeData/N=1000/209-surge_c.csv rename to SurgeData/209-surge_c.csv diff --git a/SurgeData/N=1000/209-surge_w.csv b/SurgeData/209-surge_w.csv similarity index 100% rename from SurgeData/N=1000/209-surge_w.csv rename to SurgeData/209-surge_w.csv diff --git a/SurgeData/N=1000/209-time_c.csv b/SurgeData/209-time_c.csv similarity index 100% rename from SurgeData/N=1000/209-time_c.csv rename to SurgeData/209-time_c.csv diff --git a/SurgeData/N=1000/209-time_w.csv b/SurgeData/209-time_w.csv similarity index 100% rename from SurgeData/N=1000/209-time_w.csv rename to SurgeData/209-time_w.csv diff --git a/SurgeData/N=1000/209-waterlevel_c.csv b/SurgeData/209-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/209-waterlevel_c.csv rename to SurgeData/209-waterlevel_c.csv diff --git a/SurgeData/N=1000/209-waterlevel_w.csv b/SurgeData/209-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/209-waterlevel_w.csv rename to SurgeData/209-waterlevel_w.csv diff --git a/SurgeData/N=1000/21-peak+year_c.csv b/SurgeData/21-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/21-peak+year_c.csv rename to SurgeData/21-peak+year_c.csv diff --git a/SurgeData/N=1000/21-peak+year_w.csv b/SurgeData/21-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/21-peak+year_w.csv rename to SurgeData/21-peak+year_w.csv diff --git a/SurgeData/N=1000/21-peak_c.csv b/SurgeData/21-peak_c.csv similarity index 100% rename from SurgeData/N=1000/21-peak_c.csv rename to SurgeData/21-peak_c.csv diff --git a/SurgeData/N=1000/21-peak_w.csv b/SurgeData/21-peak_w.csv similarity index 100% rename from SurgeData/N=1000/21-peak_w.csv rename to SurgeData/21-peak_w.csv diff --git a/SurgeData/N=1000/21-surge_c.csv b/SurgeData/21-surge_c.csv similarity index 100% rename from SurgeData/N=1000/21-surge_c.csv rename to SurgeData/21-surge_c.csv diff --git a/SurgeData/N=1000/21-surge_w.csv b/SurgeData/21-surge_w.csv similarity index 100% rename from SurgeData/N=1000/21-surge_w.csv rename to SurgeData/21-surge_w.csv diff --git a/SurgeData/N=1000/21-time_c.csv b/SurgeData/21-time_c.csv similarity index 100% rename from SurgeData/N=1000/21-time_c.csv rename to SurgeData/21-time_c.csv diff --git a/SurgeData/N=1000/21-time_w.csv b/SurgeData/21-time_w.csv similarity index 100% rename from SurgeData/N=1000/21-time_w.csv rename to SurgeData/21-time_w.csv diff --git a/SurgeData/N=1000/21-waterlevel_c.csv b/SurgeData/21-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/21-waterlevel_c.csv rename to SurgeData/21-waterlevel_c.csv diff --git a/SurgeData/N=1000/21-waterlevel_w.csv b/SurgeData/21-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/21-waterlevel_w.csv rename to SurgeData/21-waterlevel_w.csv diff --git a/SurgeData/210-num_storm.csv b/SurgeData/210-num_storm.csv new file mode 100644 index 00000000..75517c3d --- /dev/null +++ b/SurgeData/210-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,3.0 +2022,0.0,3.0 +2023,0.0,3.0 +2024,1.0,4.0 +2025,1.0,3.0 +2026,2.0,3.0 +2027,1.0,1.0 +2028,2.0,3.0 +2029,2.0,2.0 +2030,2.0,4.0 +2031,1.0,8.0 +2032,3.0,4.0 +2033,4.0,3.0 +2034,2.0,2.0 +2035,3.0,2.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,2.0,6.0 +2039,1.0,6.0 +2040,1.0,2.0 +2041,2.0,6.0 +2042,2.0,3.0 +2043,2.0,4.0 +2044,4.0,6.0 +2045,1.0,6.0 +2046,3.0,3.0 +2047,3.0,4.0 +2048,3.0,4.0 +2049,1.0,8.0 +2050,2.0,3.0 +2051,2.0,3.0 +2052,1.0,2.0 +2053,1.0,5.0 +2054,2.0,4.0 +2055,0.0,2.0 +2056,1.0,5.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,4.0,3.0 +2060,1.0,6.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,0.0,7.0 +2064,1.0,9.0 +2065,0.0,6.0 +2066,3.0,5.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,5.0,6.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,0.0,5.0 +2074,2.0,8.0 +2075,0.0,4.0 +2076,3.0,5.0 +2077,1.0,6.0 +2078,0.0,5.0 +2079,0.0,2.0 +2080,1.0,2.0 +2081,4.0,1.0 +2082,1.0,3.0 +2083,0.0,3.0 +2084,6.0,5.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,2.0,3.0 +2088,2.0,1.0 +2089,1.0,7.0 +2090,1.0,3.0 +2091,2.0,2.0 +2092,1.0,0.0 +2093,3.0,3.0 +2094,0.0,4.0 +2095,2.0,4.0 +2096,3.0,4.0 +2097,1.0,4.0 +2098,1.0,7.0 +2099,3.0,4.0 +2100,4.0,6.0 diff --git a/SurgeData/N=1000/210-peak+year_c.csv b/SurgeData/210-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/210-peak+year_c.csv rename to SurgeData/210-peak+year_c.csv diff --git a/SurgeData/N=1000/210-peak+year_w.csv b/SurgeData/210-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/210-peak+year_w.csv rename to SurgeData/210-peak+year_w.csv diff --git a/SurgeData/N=1000/210-peak_c.csv b/SurgeData/210-peak_c.csv similarity index 100% rename from SurgeData/N=1000/210-peak_c.csv rename to SurgeData/210-peak_c.csv diff --git a/SurgeData/N=1000/210-peak_w.csv b/SurgeData/210-peak_w.csv similarity index 100% rename from SurgeData/N=1000/210-peak_w.csv rename to SurgeData/210-peak_w.csv diff --git a/SurgeData/N=1000/210-surge_c.csv b/SurgeData/210-surge_c.csv similarity index 100% rename from SurgeData/N=1000/210-surge_c.csv rename to SurgeData/210-surge_c.csv diff --git a/SurgeData/N=1000/210-surge_w.csv b/SurgeData/210-surge_w.csv similarity index 100% rename from SurgeData/N=1000/210-surge_w.csv rename to SurgeData/210-surge_w.csv diff --git a/SurgeData/N=1000/210-time_c.csv b/SurgeData/210-time_c.csv similarity index 100% rename from SurgeData/N=1000/210-time_c.csv rename to SurgeData/210-time_c.csv diff --git a/SurgeData/N=1000/210-time_w.csv b/SurgeData/210-time_w.csv similarity index 100% rename from SurgeData/N=1000/210-time_w.csv rename to SurgeData/210-time_w.csv diff --git a/SurgeData/N=1000/210-waterlevel_c.csv b/SurgeData/210-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/210-waterlevel_c.csv rename to SurgeData/210-waterlevel_c.csv diff --git a/SurgeData/N=1000/210-waterlevel_w.csv b/SurgeData/210-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/210-waterlevel_w.csv rename to SurgeData/210-waterlevel_w.csv diff --git a/SurgeData/211-num_storm.csv b/SurgeData/211-num_storm.csv new file mode 100644 index 00000000..49626cfb --- /dev/null +++ b/SurgeData/211-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,4.0,8.0 +2022,0.0,4.0 +2023,3.0,3.0 +2024,2.0,6.0 +2025,1.0,2.0 +2026,1.0,8.0 +2027,2.0,3.0 +2028,3.0,3.0 +2029,2.0,2.0 +2030,1.0,6.0 +2031,1.0,1.0 +2032,1.0,3.0 +2033,1.0,6.0 +2034,3.0,7.0 +2035,5.0,9.0 +2036,2.0,2.0 +2037,4.0,5.0 +2038,2.0,6.0 +2039,1.0,4.0 +2040,0.0,6.0 +2041,0.0,3.0 +2042,5.0,8.0 +2043,2.0,7.0 +2044,3.0,5.0 +2045,2.0,4.0 +2046,1.0,4.0 +2047,0.0,4.0 +2048,2.0,7.0 +2049,0.0,7.0 +2050,4.0,8.0 +2051,1.0,6.0 +2052,1.0,6.0 +2053,2.0,5.0 +2054,0.0,4.0 +2055,1.0,4.0 +2056,2.0,3.0 +2057,0.0,6.0 +2058,1.0,7.0 +2059,0.0,4.0 +2060,2.0,5.0 +2061,0.0,3.0 +2062,1.0,5.0 +2063,1.0,9.0 +2064,3.0,4.0 +2065,2.0,8.0 +2066,1.0,1.0 +2067,3.0,6.0 +2068,4.0,8.0 +2069,1.0,5.0 +2070,0.0,5.0 +2071,1.0,5.0 +2072,2.0,3.0 +2073,3.0,5.0 +2074,1.0,4.0 +2075,3.0,4.0 +2076,1.0,6.0 +2077,1.0,4.0 +2078,2.0,4.0 +2079,1.0,6.0 +2080,1.0,2.0 +2081,2.0,1.0 +2082,2.0,1.0 +2083,0.0,2.0 +2084,0.0,3.0 +2085,1.0,3.0 +2086,2.0,3.0 +2087,0.0,3.0 +2088,2.0,3.0 +2089,2.0,5.0 +2090,4.0,7.0 +2091,1.0,6.0 +2092,3.0,3.0 +2093,3.0,6.0 +2094,1.0,1.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,3.0,5.0 +2098,0.0,2.0 +2099,3.0,4.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/211-peak+year_c.csv b/SurgeData/211-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/211-peak+year_c.csv rename to SurgeData/211-peak+year_c.csv diff --git a/SurgeData/N=1000/211-peak+year_w.csv b/SurgeData/211-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/211-peak+year_w.csv rename to SurgeData/211-peak+year_w.csv diff --git a/SurgeData/N=1000/211-peak_c.csv b/SurgeData/211-peak_c.csv similarity index 100% rename from SurgeData/N=1000/211-peak_c.csv rename to SurgeData/211-peak_c.csv diff --git a/SurgeData/N=1000/211-peak_w.csv b/SurgeData/211-peak_w.csv similarity index 100% rename from SurgeData/N=1000/211-peak_w.csv rename to SurgeData/211-peak_w.csv diff --git a/SurgeData/N=1000/211-surge_c.csv b/SurgeData/211-surge_c.csv similarity index 100% rename from SurgeData/N=1000/211-surge_c.csv rename to SurgeData/211-surge_c.csv diff --git a/SurgeData/N=1000/211-surge_w.csv b/SurgeData/211-surge_w.csv similarity index 100% rename from SurgeData/N=1000/211-surge_w.csv rename to SurgeData/211-surge_w.csv diff --git a/SurgeData/N=1000/211-time_c.csv b/SurgeData/211-time_c.csv similarity index 100% rename from SurgeData/N=1000/211-time_c.csv rename to SurgeData/211-time_c.csv diff --git a/SurgeData/N=1000/211-time_w.csv b/SurgeData/211-time_w.csv similarity index 100% rename from SurgeData/N=1000/211-time_w.csv rename to SurgeData/211-time_w.csv diff --git a/SurgeData/N=1000/211-waterlevel_c.csv b/SurgeData/211-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/211-waterlevel_c.csv rename to SurgeData/211-waterlevel_c.csv diff --git a/SurgeData/N=1000/211-waterlevel_w.csv b/SurgeData/211-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/211-waterlevel_w.csv rename to SurgeData/211-waterlevel_w.csv diff --git a/SurgeData/212-num_storm.csv b/SurgeData/212-num_storm.csv new file mode 100644 index 00000000..3979cce0 --- /dev/null +++ b/SurgeData/212-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,0.0 +2021,2.0,5.0 +2022,3.0,3.0 +2023,1.0,7.0 +2024,3.0,3.0 +2025,3.0,1.0 +2026,1.0,2.0 +2027,1.0,3.0 +2028,1.0,5.0 +2029,4.0,4.0 +2030,1.0,6.0 +2031,3.0,0.0 +2032,0.0,7.0 +2033,0.0,1.0 +2034,2.0,6.0 +2035,1.0,1.0 +2036,2.0,4.0 +2037,0.0,4.0 +2038,0.0,7.0 +2039,4.0,4.0 +2040,1.0,5.0 +2041,0.0,4.0 +2042,0.0,1.0 +2043,2.0,9.0 +2044,4.0,2.0 +2045,0.0,4.0 +2046,1.0,7.0 +2047,6.0,4.0 +2048,1.0,1.0 +2049,1.0,4.0 +2050,2.0,4.0 +2051,2.0,3.0 +2052,1.0,1.0 +2053,2.0,6.0 +2054,2.0,3.0 +2055,1.0,2.0 +2056,4.0,2.0 +2057,1.0,7.0 +2058,0.0,3.0 +2059,0.0,5.0 +2060,1.0,3.0 +2061,1.0,6.0 +2062,1.0,7.0 +2063,0.0,5.0 +2064,1.0,4.0 +2065,3.0,3.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,0.0,6.0 +2069,1.0,3.0 +2070,1.0,0.0 +2071,0.0,3.0 +2072,2.0,3.0 +2073,4.0,1.0 +2074,1.0,6.0 +2075,0.0,6.0 +2076,1.0,10.0 +2077,0.0,3.0 +2078,2.0,8.0 +2079,4.0,4.0 +2080,1.0,4.0 +2081,0.0,5.0 +2082,3.0,1.0 +2083,1.0,3.0 +2084,2.0,7.0 +2085,0.0,1.0 +2086,1.0,1.0 +2087,2.0,5.0 +2088,5.0,5.0 +2089,0.0,3.0 +2090,0.0,4.0 +2091,3.0,5.0 +2092,3.0,3.0 +2093,3.0,5.0 +2094,0.0,2.0 +2095,3.0,4.0 +2096,1.0,5.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,1.0,1.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/212-peak+year_c.csv b/SurgeData/212-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/212-peak+year_c.csv rename to SurgeData/212-peak+year_c.csv diff --git a/SurgeData/N=1000/212-peak+year_w.csv b/SurgeData/212-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/212-peak+year_w.csv rename to SurgeData/212-peak+year_w.csv diff --git a/SurgeData/N=1000/212-peak_c.csv b/SurgeData/212-peak_c.csv similarity index 100% rename from SurgeData/N=1000/212-peak_c.csv rename to SurgeData/212-peak_c.csv diff --git a/SurgeData/N=1000/212-peak_w.csv b/SurgeData/212-peak_w.csv similarity index 100% rename from SurgeData/N=1000/212-peak_w.csv rename to SurgeData/212-peak_w.csv diff --git a/SurgeData/N=1000/212-surge_c.csv b/SurgeData/212-surge_c.csv similarity index 100% rename from SurgeData/N=1000/212-surge_c.csv rename to SurgeData/212-surge_c.csv diff --git a/SurgeData/N=1000/212-surge_w.csv b/SurgeData/212-surge_w.csv similarity index 100% rename from SurgeData/N=1000/212-surge_w.csv rename to SurgeData/212-surge_w.csv diff --git a/SurgeData/N=1000/212-time_c.csv b/SurgeData/212-time_c.csv similarity index 100% rename from SurgeData/N=1000/212-time_c.csv rename to SurgeData/212-time_c.csv diff --git a/SurgeData/N=1000/212-time_w.csv b/SurgeData/212-time_w.csv similarity index 100% rename from SurgeData/N=1000/212-time_w.csv rename to SurgeData/212-time_w.csv diff --git a/SurgeData/N=1000/212-waterlevel_c.csv b/SurgeData/212-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/212-waterlevel_c.csv rename to SurgeData/212-waterlevel_c.csv diff --git a/SurgeData/N=1000/212-waterlevel_w.csv b/SurgeData/212-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/212-waterlevel_w.csv rename to SurgeData/212-waterlevel_w.csv diff --git a/SurgeData/213-num_storm.csv b/SurgeData/213-num_storm.csv new file mode 100644 index 00000000..af0cc74e --- /dev/null +++ b/SurgeData/213-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,8.0 +2022,2.0,5.0 +2023,2.0,6.0 +2024,1.0,4.0 +2025,1.0,4.0 +2026,2.0,3.0 +2027,0.0,2.0 +2028,2.0,3.0 +2029,4.0,3.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,0.0,5.0 +2033,0.0,3.0 +2034,2.0,5.0 +2035,3.0,5.0 +2036,2.0,3.0 +2037,3.0,3.0 +2038,2.0,3.0 +2039,1.0,6.0 +2040,2.0,5.0 +2041,1.0,7.0 +2042,2.0,10.0 +2043,1.0,5.0 +2044,2.0,2.0 +2045,1.0,5.0 +2046,3.0,6.0 +2047,1.0,1.0 +2048,1.0,5.0 +2049,1.0,3.0 +2050,2.0,3.0 +2051,2.0,5.0 +2052,1.0,6.0 +2053,2.0,4.0 +2054,1.0,10.0 +2055,4.0,4.0 +2056,1.0,5.0 +2057,1.0,9.0 +2058,1.0,4.0 +2059,3.0,2.0 +2060,1.0,2.0 +2061,2.0,5.0 +2062,2.0,6.0 +2063,0.0,6.0 +2064,2.0,4.0 +2065,2.0,3.0 +2066,3.0,2.0 +2067,2.0,4.0 +2068,1.0,6.0 +2069,3.0,5.0 +2070,3.0,9.0 +2071,0.0,4.0 +2072,2.0,9.0 +2073,1.0,6.0 +2074,0.0,4.0 +2075,2.0,5.0 +2076,1.0,6.0 +2077,1.0,2.0 +2078,0.0,2.0 +2079,1.0,3.0 +2080,3.0,4.0 +2081,1.0,4.0 +2082,2.0,2.0 +2083,1.0,4.0 +2084,2.0,5.0 +2085,0.0,2.0 +2086,1.0,3.0 +2087,3.0,8.0 +2088,0.0,3.0 +2089,6.0,3.0 +2090,1.0,0.0 +2091,2.0,4.0 +2092,0.0,5.0 +2093,1.0,4.0 +2094,0.0,0.0 +2095,2.0,6.0 +2096,1.0,1.0 +2097,1.0,3.0 +2098,1.0,3.0 +2099,1.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/213-peak+year_c.csv b/SurgeData/213-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/213-peak+year_c.csv rename to SurgeData/213-peak+year_c.csv diff --git a/SurgeData/N=1000/213-peak+year_w.csv b/SurgeData/213-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/213-peak+year_w.csv rename to SurgeData/213-peak+year_w.csv diff --git a/SurgeData/N=1000/213-peak_c.csv b/SurgeData/213-peak_c.csv similarity index 100% rename from SurgeData/N=1000/213-peak_c.csv rename to SurgeData/213-peak_c.csv diff --git a/SurgeData/N=1000/213-peak_w.csv b/SurgeData/213-peak_w.csv similarity index 100% rename from SurgeData/N=1000/213-peak_w.csv rename to SurgeData/213-peak_w.csv diff --git a/SurgeData/N=1000/213-surge_c.csv b/SurgeData/213-surge_c.csv similarity index 100% rename from SurgeData/N=1000/213-surge_c.csv rename to SurgeData/213-surge_c.csv diff --git a/SurgeData/N=1000/213-surge_w.csv b/SurgeData/213-surge_w.csv similarity index 100% rename from SurgeData/N=1000/213-surge_w.csv rename to SurgeData/213-surge_w.csv diff --git a/SurgeData/N=1000/213-time_c.csv b/SurgeData/213-time_c.csv similarity index 100% rename from SurgeData/N=1000/213-time_c.csv rename to SurgeData/213-time_c.csv diff --git a/SurgeData/N=1000/213-time_w.csv b/SurgeData/213-time_w.csv similarity index 100% rename from SurgeData/N=1000/213-time_w.csv rename to SurgeData/213-time_w.csv diff --git a/SurgeData/N=1000/213-waterlevel_c.csv b/SurgeData/213-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/213-waterlevel_c.csv rename to SurgeData/213-waterlevel_c.csv diff --git a/SurgeData/N=1000/213-waterlevel_w.csv b/SurgeData/213-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/213-waterlevel_w.csv rename to SurgeData/213-waterlevel_w.csv diff --git a/SurgeData/214-num_storm.csv b/SurgeData/214-num_storm.csv new file mode 100644 index 00000000..f0c6c5e0 --- /dev/null +++ b/SurgeData/214-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,3.0,5.0 +2024,1.0,7.0 +2025,1.0,2.0 +2026,2.0,7.0 +2027,2.0,4.0 +2028,0.0,5.0 +2029,2.0,3.0 +2030,2.0,3.0 +2031,1.0,9.0 +2032,1.0,4.0 +2033,2.0,3.0 +2034,1.0,3.0 +2035,3.0,1.0 +2036,1.0,9.0 +2037,5.0,4.0 +2038,1.0,8.0 +2039,1.0,5.0 +2040,1.0,1.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,1.0,4.0 +2044,3.0,8.0 +2045,3.0,5.0 +2046,0.0,5.0 +2047,2.0,1.0 +2048,1.0,4.0 +2049,4.0,6.0 +2050,1.0,7.0 +2051,0.0,3.0 +2052,2.0,4.0 +2053,1.0,4.0 +2054,0.0,6.0 +2055,2.0,4.0 +2056,1.0,6.0 +2057,2.0,3.0 +2058,0.0,6.0 +2059,0.0,3.0 +2060,1.0,4.0 +2061,2.0,6.0 +2062,2.0,2.0 +2063,0.0,6.0 +2064,0.0,0.0 +2065,3.0,4.0 +2066,2.0,2.0 +2067,1.0,8.0 +2068,1.0,4.0 +2069,2.0,2.0 +2070,2.0,5.0 +2071,4.0,6.0 +2072,2.0,3.0 +2073,0.0,2.0 +2074,0.0,8.0 +2075,0.0,6.0 +2076,4.0,5.0 +2077,3.0,4.0 +2078,0.0,1.0 +2079,2.0,2.0 +2080,2.0,4.0 +2081,1.0,2.0 +2082,3.0,7.0 +2083,1.0,4.0 +2084,2.0,7.0 +2085,2.0,4.0 +2086,2.0,2.0 +2087,4.0,5.0 +2088,1.0,2.0 +2089,2.0,3.0 +2090,3.0,4.0 +2091,4.0,7.0 +2092,3.0,4.0 +2093,6.0,1.0 +2094,3.0,12.0 +2095,1.0,7.0 +2096,2.0,4.0 +2097,4.0,1.0 +2098,0.0,2.0 +2099,0.0,5.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/214-peak+year_c.csv b/SurgeData/214-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/214-peak+year_c.csv rename to SurgeData/214-peak+year_c.csv diff --git a/SurgeData/N=1000/214-peak+year_w.csv b/SurgeData/214-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/214-peak+year_w.csv rename to SurgeData/214-peak+year_w.csv diff --git a/SurgeData/N=1000/214-peak_c.csv b/SurgeData/214-peak_c.csv similarity index 100% rename from SurgeData/N=1000/214-peak_c.csv rename to SurgeData/214-peak_c.csv diff --git a/SurgeData/N=1000/214-peak_w.csv b/SurgeData/214-peak_w.csv similarity index 100% rename from SurgeData/N=1000/214-peak_w.csv rename to SurgeData/214-peak_w.csv diff --git a/SurgeData/N=1000/214-surge_c.csv b/SurgeData/214-surge_c.csv similarity index 100% rename from SurgeData/N=1000/214-surge_c.csv rename to SurgeData/214-surge_c.csv diff --git a/SurgeData/N=1000/214-surge_w.csv b/SurgeData/214-surge_w.csv similarity index 100% rename from SurgeData/N=1000/214-surge_w.csv rename to SurgeData/214-surge_w.csv diff --git a/SurgeData/N=1000/214-time_c.csv b/SurgeData/214-time_c.csv similarity index 100% rename from SurgeData/N=1000/214-time_c.csv rename to SurgeData/214-time_c.csv diff --git a/SurgeData/N=1000/214-time_w.csv b/SurgeData/214-time_w.csv similarity index 100% rename from SurgeData/N=1000/214-time_w.csv rename to SurgeData/214-time_w.csv diff --git a/SurgeData/N=1000/214-waterlevel_c.csv b/SurgeData/214-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/214-waterlevel_c.csv rename to SurgeData/214-waterlevel_c.csv diff --git a/SurgeData/N=1000/214-waterlevel_w.csv b/SurgeData/214-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/214-waterlevel_w.csv rename to SurgeData/214-waterlevel_w.csv diff --git a/SurgeData/N=1000/215-peak+year_c.csv b/SurgeData/215-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/215-peak+year_c.csv rename to SurgeData/215-peak+year_c.csv diff --git a/SurgeData/N=1000/215-peak+year_w.csv b/SurgeData/215-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/215-peak+year_w.csv rename to SurgeData/215-peak+year_w.csv diff --git a/SurgeData/N=1000/215-peak_c.csv b/SurgeData/215-peak_c.csv similarity index 100% rename from SurgeData/N=1000/215-peak_c.csv rename to SurgeData/215-peak_c.csv diff --git a/SurgeData/N=1000/215-peak_w.csv b/SurgeData/215-peak_w.csv similarity index 100% rename from SurgeData/N=1000/215-peak_w.csv rename to SurgeData/215-peak_w.csv diff --git a/SurgeData/N=1000/215-surge_c.csv b/SurgeData/215-surge_c.csv similarity index 100% rename from SurgeData/N=1000/215-surge_c.csv rename to SurgeData/215-surge_c.csv diff --git a/SurgeData/N=1000/215-surge_w.csv b/SurgeData/215-surge_w.csv similarity index 100% rename from SurgeData/N=1000/215-surge_w.csv rename to SurgeData/215-surge_w.csv diff --git a/SurgeData/N=1000/215-time_c.csv b/SurgeData/215-time_c.csv similarity index 100% rename from SurgeData/N=1000/215-time_c.csv rename to SurgeData/215-time_c.csv diff --git a/SurgeData/N=1000/215-time_w.csv b/SurgeData/215-time_w.csv similarity index 100% rename from SurgeData/N=1000/215-time_w.csv rename to SurgeData/215-time_w.csv diff --git a/SurgeData/N=1000/215-waterlevel_c.csv b/SurgeData/215-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/215-waterlevel_c.csv rename to SurgeData/215-waterlevel_c.csv diff --git a/SurgeData/N=1000/215-waterlevel_w.csv b/SurgeData/215-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/215-waterlevel_w.csv rename to SurgeData/215-waterlevel_w.csv diff --git a/SurgeData/216-num_storm.csv b/SurgeData/216-num_storm.csv new file mode 100644 index 00000000..1a678a5c --- /dev/null +++ b/SurgeData/216-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,1.0 +2022,3.0,5.0 +2023,0.0,6.0 +2024,1.0,5.0 +2025,1.0,4.0 +2026,0.0,9.0 +2027,2.0,3.0 +2028,1.0,5.0 +2029,1.0,7.0 +2030,0.0,5.0 +2031,1.0,5.0 +2032,2.0,2.0 +2033,1.0,4.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,3.0,2.0 +2037,0.0,1.0 +2038,1.0,6.0 +2039,3.0,8.0 +2040,0.0,4.0 +2041,3.0,4.0 +2042,1.0,5.0 +2043,4.0,4.0 +2044,1.0,3.0 +2045,3.0,7.0 +2046,0.0,6.0 +2047,1.0,2.0 +2048,0.0,3.0 +2049,3.0,5.0 +2050,0.0,6.0 +2051,0.0,8.0 +2052,3.0,4.0 +2053,0.0,5.0 +2054,4.0,2.0 +2055,0.0,1.0 +2056,3.0,4.0 +2057,0.0,6.0 +2058,1.0,9.0 +2059,3.0,2.0 +2060,1.0,7.0 +2061,0.0,5.0 +2062,3.0,4.0 +2063,1.0,9.0 +2064,0.0,10.0 +2065,3.0,4.0 +2066,0.0,4.0 +2067,1.0,4.0 +2068,1.0,6.0 +2069,1.0,3.0 +2070,1.0,7.0 +2071,0.0,4.0 +2072,1.0,6.0 +2073,2.0,6.0 +2074,0.0,4.0 +2075,1.0,4.0 +2076,2.0,2.0 +2077,1.0,2.0 +2078,0.0,4.0 +2079,3.0,8.0 +2080,1.0,4.0 +2081,3.0,3.0 +2082,2.0,3.0 +2083,1.0,5.0 +2084,3.0,4.0 +2085,1.0,6.0 +2086,2.0,7.0 +2087,3.0,3.0 +2088,2.0,4.0 +2089,0.0,3.0 +2090,3.0,6.0 +2091,0.0,2.0 +2092,3.0,8.0 +2093,2.0,5.0 +2094,2.0,5.0 +2095,0.0,3.0 +2096,0.0,4.0 +2097,0.0,6.0 +2098,1.0,3.0 +2099,4.0,8.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/216-peak+year_c.csv b/SurgeData/216-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/216-peak+year_c.csv rename to SurgeData/216-peak+year_c.csv diff --git a/SurgeData/N=1000/216-peak+year_w.csv b/SurgeData/216-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/216-peak+year_w.csv rename to SurgeData/216-peak+year_w.csv diff --git a/SurgeData/N=1000/216-peak_c.csv b/SurgeData/216-peak_c.csv similarity index 100% rename from SurgeData/N=1000/216-peak_c.csv rename to SurgeData/216-peak_c.csv diff --git a/SurgeData/N=1000/216-peak_w.csv b/SurgeData/216-peak_w.csv similarity index 100% rename from SurgeData/N=1000/216-peak_w.csv rename to SurgeData/216-peak_w.csv diff --git a/SurgeData/N=1000/216-surge_c.csv b/SurgeData/216-surge_c.csv similarity index 100% rename from SurgeData/N=1000/216-surge_c.csv rename to SurgeData/216-surge_c.csv diff --git a/SurgeData/N=1000/216-surge_w.csv b/SurgeData/216-surge_w.csv similarity index 100% rename from SurgeData/N=1000/216-surge_w.csv rename to SurgeData/216-surge_w.csv diff --git a/SurgeData/N=1000/216-time_c.csv b/SurgeData/216-time_c.csv similarity index 100% rename from SurgeData/N=1000/216-time_c.csv rename to SurgeData/216-time_c.csv diff --git a/SurgeData/N=1000/216-time_w.csv b/SurgeData/216-time_w.csv similarity index 100% rename from SurgeData/N=1000/216-time_w.csv rename to SurgeData/216-time_w.csv diff --git a/SurgeData/N=1000/216-waterlevel_c.csv b/SurgeData/216-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/216-waterlevel_c.csv rename to SurgeData/216-waterlevel_c.csv diff --git a/SurgeData/N=1000/216-waterlevel_w.csv b/SurgeData/216-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/216-waterlevel_w.csv rename to SurgeData/216-waterlevel_w.csv diff --git a/SurgeData/217-num_storm.csv b/SurgeData/217-num_storm.csv new file mode 100644 index 00000000..a29c2c1a --- /dev/null +++ b/SurgeData/217-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,3.0,2.0 +2022,2.0,5.0 +2023,5.0,1.0 +2024,2.0,2.0 +2025,0.0,2.0 +2026,2.0,2.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,1.0,4.0 +2030,2.0,2.0 +2031,4.0,4.0 +2032,1.0,2.0 +2033,1.0,8.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,1.0,3.0 +2037,3.0,5.0 +2038,1.0,3.0 +2039,2.0,4.0 +2040,1.0,8.0 +2041,0.0,7.0 +2042,0.0,4.0 +2043,1.0,6.0 +2044,0.0,4.0 +2045,1.0,3.0 +2046,1.0,4.0 +2047,2.0,8.0 +2048,1.0,5.0 +2049,0.0,3.0 +2050,2.0,5.0 +2051,5.0,4.0 +2052,1.0,6.0 +2053,1.0,7.0 +2054,1.0,6.0 +2055,2.0,6.0 +2056,3.0,4.0 +2057,3.0,1.0 +2058,4.0,8.0 +2059,0.0,4.0 +2060,3.0,2.0 +2061,0.0,5.0 +2062,1.0,3.0 +2063,1.0,3.0 +2064,4.0,6.0 +2065,3.0,2.0 +2066,2.0,4.0 +2067,1.0,6.0 +2068,0.0,4.0 +2069,3.0,5.0 +2070,3.0,5.0 +2071,0.0,1.0 +2072,1.0,4.0 +2073,2.0,4.0 +2074,1.0,5.0 +2075,0.0,4.0 +2076,1.0,7.0 +2077,1.0,1.0 +2078,3.0,4.0 +2079,0.0,6.0 +2080,0.0,3.0 +2081,0.0,4.0 +2082,1.0,8.0 +2083,2.0,3.0 +2084,2.0,6.0 +2085,0.0,7.0 +2086,5.0,1.0 +2087,2.0,5.0 +2088,4.0,0.0 +2089,4.0,4.0 +2090,2.0,8.0 +2091,0.0,2.0 +2092,2.0,1.0 +2093,0.0,7.0 +2094,2.0,5.0 +2095,2.0,1.0 +2096,3.0,7.0 +2097,1.0,8.0 +2098,0.0,6.0 +2099,1.0,5.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/217-peak+year_c.csv b/SurgeData/217-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/217-peak+year_c.csv rename to SurgeData/217-peak+year_c.csv diff --git a/SurgeData/N=1000/217-peak+year_w.csv b/SurgeData/217-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/217-peak+year_w.csv rename to SurgeData/217-peak+year_w.csv diff --git a/SurgeData/N=1000/217-peak_c.csv b/SurgeData/217-peak_c.csv similarity index 100% rename from SurgeData/N=1000/217-peak_c.csv rename to SurgeData/217-peak_c.csv diff --git a/SurgeData/N=1000/217-peak_w.csv b/SurgeData/217-peak_w.csv similarity index 100% rename from SurgeData/N=1000/217-peak_w.csv rename to SurgeData/217-peak_w.csv diff --git a/SurgeData/N=1000/217-surge_c.csv b/SurgeData/217-surge_c.csv similarity index 100% rename from SurgeData/N=1000/217-surge_c.csv rename to SurgeData/217-surge_c.csv diff --git a/SurgeData/N=1000/217-surge_w.csv b/SurgeData/217-surge_w.csv similarity index 100% rename from SurgeData/N=1000/217-surge_w.csv rename to SurgeData/217-surge_w.csv diff --git a/SurgeData/N=1000/217-time_c.csv b/SurgeData/217-time_c.csv similarity index 100% rename from SurgeData/N=1000/217-time_c.csv rename to SurgeData/217-time_c.csv diff --git a/SurgeData/N=1000/217-time_w.csv b/SurgeData/217-time_w.csv similarity index 100% rename from SurgeData/N=1000/217-time_w.csv rename to SurgeData/217-time_w.csv diff --git a/SurgeData/N=1000/217-waterlevel_c.csv b/SurgeData/217-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/217-waterlevel_c.csv rename to SurgeData/217-waterlevel_c.csv diff --git a/SurgeData/N=1000/217-waterlevel_w.csv b/SurgeData/217-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/217-waterlevel_w.csv rename to SurgeData/217-waterlevel_w.csv diff --git a/SurgeData/218-num_storm.csv b/SurgeData/218-num_storm.csv new file mode 100644 index 00000000..ec2fe43a --- /dev/null +++ b/SurgeData/218-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,2.0 +2022,1.0,6.0 +2023,1.0,4.0 +2024,0.0,3.0 +2025,0.0,2.0 +2026,4.0,9.0 +2027,3.0,3.0 +2028,2.0,1.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,0.0,3.0 +2032,1.0,2.0 +2033,0.0,5.0 +2034,1.0,7.0 +2035,1.0,2.0 +2036,3.0,1.0 +2037,0.0,1.0 +2038,2.0,3.0 +2039,0.0,3.0 +2040,1.0,7.0 +2041,2.0,3.0 +2042,2.0,3.0 +2043,1.0,4.0 +2044,0.0,4.0 +2045,0.0,3.0 +2046,1.0,6.0 +2047,2.0,5.0 +2048,2.0,5.0 +2049,0.0,6.0 +2050,2.0,5.0 +2051,2.0,5.0 +2052,3.0,1.0 +2053,1.0,3.0 +2054,2.0,5.0 +2055,1.0,3.0 +2056,2.0,1.0 +2057,0.0,5.0 +2058,4.0,3.0 +2059,1.0,4.0 +2060,0.0,4.0 +2061,1.0,5.0 +2062,0.0,8.0 +2063,2.0,5.0 +2064,3.0,5.0 +2065,0.0,3.0 +2066,3.0,6.0 +2067,2.0,4.0 +2068,0.0,8.0 +2069,1.0,2.0 +2070,1.0,4.0 +2071,1.0,2.0 +2072,1.0,1.0 +2073,3.0,6.0 +2074,0.0,1.0 +2075,1.0,8.0 +2076,3.0,2.0 +2077,2.0,4.0 +2078,1.0,3.0 +2079,0.0,6.0 +2080,3.0,7.0 +2081,6.0,1.0 +2082,3.0,6.0 +2083,0.0,3.0 +2084,2.0,4.0 +2085,3.0,4.0 +2086,0.0,4.0 +2087,0.0,2.0 +2088,2.0,3.0 +2089,1.0,5.0 +2090,1.0,4.0 +2091,0.0,1.0 +2092,2.0,1.0 +2093,2.0,4.0 +2094,2.0,2.0 +2095,3.0,6.0 +2096,1.0,1.0 +2097,1.0,4.0 +2098,3.0,6.0 +2099,0.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/218-peak+year_c.csv b/SurgeData/218-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/218-peak+year_c.csv rename to SurgeData/218-peak+year_c.csv diff --git a/SurgeData/N=1000/218-peak+year_w.csv b/SurgeData/218-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/218-peak+year_w.csv rename to SurgeData/218-peak+year_w.csv diff --git a/SurgeData/N=1000/218-peak_c.csv b/SurgeData/218-peak_c.csv similarity index 100% rename from SurgeData/N=1000/218-peak_c.csv rename to SurgeData/218-peak_c.csv diff --git a/SurgeData/N=1000/218-peak_w.csv b/SurgeData/218-peak_w.csv similarity index 100% rename from SurgeData/N=1000/218-peak_w.csv rename to SurgeData/218-peak_w.csv diff --git a/SurgeData/N=1000/218-surge_c.csv b/SurgeData/218-surge_c.csv similarity index 100% rename from SurgeData/N=1000/218-surge_c.csv rename to SurgeData/218-surge_c.csv diff --git a/SurgeData/N=1000/218-surge_w.csv b/SurgeData/218-surge_w.csv similarity index 100% rename from SurgeData/N=1000/218-surge_w.csv rename to SurgeData/218-surge_w.csv diff --git a/SurgeData/N=1000/218-time_c.csv b/SurgeData/218-time_c.csv similarity index 100% rename from SurgeData/N=1000/218-time_c.csv rename to SurgeData/218-time_c.csv diff --git a/SurgeData/N=1000/218-time_w.csv b/SurgeData/218-time_w.csv similarity index 100% rename from SurgeData/N=1000/218-time_w.csv rename to SurgeData/218-time_w.csv diff --git a/SurgeData/N=1000/218-waterlevel_c.csv b/SurgeData/218-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/218-waterlevel_c.csv rename to SurgeData/218-waterlevel_c.csv diff --git a/SurgeData/N=1000/218-waterlevel_w.csv b/SurgeData/218-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/218-waterlevel_w.csv rename to SurgeData/218-waterlevel_w.csv diff --git a/SurgeData/N=1000/219-peak+year_c.csv b/SurgeData/219-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/219-peak+year_c.csv rename to SurgeData/219-peak+year_c.csv diff --git a/SurgeData/N=1000/219-peak+year_w.csv b/SurgeData/219-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/219-peak+year_w.csv rename to SurgeData/219-peak+year_w.csv diff --git a/SurgeData/N=1000/219-peak_c.csv b/SurgeData/219-peak_c.csv similarity index 100% rename from SurgeData/N=1000/219-peak_c.csv rename to SurgeData/219-peak_c.csv diff --git a/SurgeData/N=1000/219-peak_w.csv b/SurgeData/219-peak_w.csv similarity index 100% rename from SurgeData/N=1000/219-peak_w.csv rename to SurgeData/219-peak_w.csv diff --git a/SurgeData/N=1000/219-surge_c.csv b/SurgeData/219-surge_c.csv similarity index 100% rename from SurgeData/N=1000/219-surge_c.csv rename to SurgeData/219-surge_c.csv diff --git a/SurgeData/N=1000/219-surge_w.csv b/SurgeData/219-surge_w.csv similarity index 100% rename from SurgeData/N=1000/219-surge_w.csv rename to SurgeData/219-surge_w.csv diff --git a/SurgeData/N=1000/219-time_c.csv b/SurgeData/219-time_c.csv similarity index 100% rename from SurgeData/N=1000/219-time_c.csv rename to SurgeData/219-time_c.csv diff --git a/SurgeData/N=1000/219-time_w.csv b/SurgeData/219-time_w.csv similarity index 100% rename from SurgeData/N=1000/219-time_w.csv rename to SurgeData/219-time_w.csv diff --git a/SurgeData/N=1000/219-waterlevel_c.csv b/SurgeData/219-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/219-waterlevel_c.csv rename to SurgeData/219-waterlevel_c.csv diff --git a/SurgeData/N=1000/219-waterlevel_w.csv b/SurgeData/219-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/219-waterlevel_w.csv rename to SurgeData/219-waterlevel_w.csv diff --git a/SurgeData/22-num_storm.csv b/SurgeData/22-num_storm.csv new file mode 100644 index 00000000..3f4214eb --- /dev/null +++ b/SurgeData/22-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,3.0,4.0 +2022,2.0,6.0 +2023,0.0,5.0 +2024,1.0,6.0 +2025,0.0,5.0 +2026,4.0,2.0 +2027,2.0,4.0 +2028,0.0,4.0 +2029,1.0,9.0 +2030,2.0,4.0 +2031,0.0,4.0 +2032,3.0,1.0 +2033,2.0,3.0 +2034,3.0,3.0 +2035,0.0,4.0 +2036,3.0,2.0 +2037,1.0,8.0 +2038,1.0,3.0 +2039,3.0,7.0 +2040,0.0,8.0 +2041,4.0,0.0 +2042,2.0,4.0 +2043,0.0,4.0 +2044,5.0,3.0 +2045,1.0,9.0 +2046,0.0,5.0 +2047,2.0,7.0 +2048,2.0,3.0 +2049,3.0,3.0 +2050,0.0,6.0 +2051,3.0,2.0 +2052,1.0,3.0 +2053,2.0,4.0 +2054,2.0,2.0 +2055,4.0,3.0 +2056,2.0,3.0 +2057,1.0,2.0 +2058,5.0,0.0 +2059,1.0,2.0 +2060,2.0,5.0 +2061,1.0,8.0 +2062,2.0,1.0 +2063,0.0,5.0 +2064,2.0,3.0 +2065,3.0,2.0 +2066,0.0,4.0 +2067,3.0,5.0 +2068,0.0,3.0 +2069,3.0,3.0 +2070,2.0,4.0 +2071,0.0,5.0 +2072,2.0,5.0 +2073,1.0,8.0 +2074,1.0,4.0 +2075,1.0,5.0 +2076,3.0,3.0 +2077,0.0,2.0 +2078,1.0,5.0 +2079,0.0,1.0 +2080,0.0,5.0 +2081,1.0,7.0 +2082,1.0,6.0 +2083,2.0,6.0 +2084,0.0,11.0 +2085,2.0,2.0 +2086,1.0,4.0 +2087,0.0,4.0 +2088,3.0,6.0 +2089,3.0,2.0 +2090,0.0,4.0 +2091,2.0,5.0 +2092,1.0,3.0 +2093,1.0,3.0 +2094,0.0,8.0 +2095,1.0,8.0 +2096,5.0,5.0 +2097,1.0,3.0 +2098,1.0,6.0 +2099,0.0,5.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/22-peak+year_c.csv b/SurgeData/22-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/22-peak+year_c.csv rename to SurgeData/22-peak+year_c.csv diff --git a/SurgeData/N=1000/22-peak+year_w.csv b/SurgeData/22-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/22-peak+year_w.csv rename to SurgeData/22-peak+year_w.csv diff --git a/SurgeData/N=1000/22-peak_c.csv b/SurgeData/22-peak_c.csv similarity index 100% rename from SurgeData/N=1000/22-peak_c.csv rename to SurgeData/22-peak_c.csv diff --git a/SurgeData/N=1000/22-peak_w.csv b/SurgeData/22-peak_w.csv similarity index 100% rename from SurgeData/N=1000/22-peak_w.csv rename to SurgeData/22-peak_w.csv diff --git a/SurgeData/N=1000/22-surge_c.csv b/SurgeData/22-surge_c.csv similarity index 100% rename from SurgeData/N=1000/22-surge_c.csv rename to SurgeData/22-surge_c.csv diff --git a/SurgeData/N=1000/22-surge_w.csv b/SurgeData/22-surge_w.csv similarity index 100% rename from SurgeData/N=1000/22-surge_w.csv rename to SurgeData/22-surge_w.csv diff --git a/SurgeData/N=1000/22-time_c.csv b/SurgeData/22-time_c.csv similarity index 100% rename from SurgeData/N=1000/22-time_c.csv rename to SurgeData/22-time_c.csv diff --git a/SurgeData/N=1000/22-time_w.csv b/SurgeData/22-time_w.csv similarity index 100% rename from SurgeData/N=1000/22-time_w.csv rename to SurgeData/22-time_w.csv diff --git a/SurgeData/N=1000/22-waterlevel_c.csv b/SurgeData/22-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/22-waterlevel_c.csv rename to SurgeData/22-waterlevel_c.csv diff --git a/SurgeData/N=1000/22-waterlevel_w.csv b/SurgeData/22-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/22-waterlevel_w.csv rename to SurgeData/22-waterlevel_w.csv diff --git a/SurgeData/N=1000/220-peak+year_c.csv b/SurgeData/220-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/220-peak+year_c.csv rename to SurgeData/220-peak+year_c.csv diff --git a/SurgeData/N=1000/220-peak+year_w.csv b/SurgeData/220-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/220-peak+year_w.csv rename to SurgeData/220-peak+year_w.csv diff --git a/SurgeData/N=1000/220-peak_c.csv b/SurgeData/220-peak_c.csv similarity index 100% rename from SurgeData/N=1000/220-peak_c.csv rename to SurgeData/220-peak_c.csv diff --git a/SurgeData/N=1000/220-peak_w.csv b/SurgeData/220-peak_w.csv similarity index 100% rename from SurgeData/N=1000/220-peak_w.csv rename to SurgeData/220-peak_w.csv diff --git a/SurgeData/N=1000/220-surge_c.csv b/SurgeData/220-surge_c.csv similarity index 100% rename from SurgeData/N=1000/220-surge_c.csv rename to SurgeData/220-surge_c.csv diff --git a/SurgeData/N=1000/220-surge_w.csv b/SurgeData/220-surge_w.csv similarity index 100% rename from SurgeData/N=1000/220-surge_w.csv rename to SurgeData/220-surge_w.csv diff --git a/SurgeData/N=1000/220-time_c.csv b/SurgeData/220-time_c.csv similarity index 100% rename from SurgeData/N=1000/220-time_c.csv rename to SurgeData/220-time_c.csv diff --git a/SurgeData/N=1000/220-time_w.csv b/SurgeData/220-time_w.csv similarity index 100% rename from SurgeData/N=1000/220-time_w.csv rename to SurgeData/220-time_w.csv diff --git a/SurgeData/N=1000/220-waterlevel_c.csv b/SurgeData/220-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/220-waterlevel_c.csv rename to SurgeData/220-waterlevel_c.csv diff --git a/SurgeData/N=1000/220-waterlevel_w.csv b/SurgeData/220-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/220-waterlevel_w.csv rename to SurgeData/220-waterlevel_w.csv diff --git a/SurgeData/N=1000/221-peak+year_c.csv b/SurgeData/221-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/221-peak+year_c.csv rename to SurgeData/221-peak+year_c.csv diff --git a/SurgeData/N=1000/221-peak+year_w.csv b/SurgeData/221-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/221-peak+year_w.csv rename to SurgeData/221-peak+year_w.csv diff --git a/SurgeData/N=1000/221-peak_c.csv b/SurgeData/221-peak_c.csv similarity index 100% rename from SurgeData/N=1000/221-peak_c.csv rename to SurgeData/221-peak_c.csv diff --git a/SurgeData/N=1000/221-peak_w.csv b/SurgeData/221-peak_w.csv similarity index 100% rename from SurgeData/N=1000/221-peak_w.csv rename to SurgeData/221-peak_w.csv diff --git a/SurgeData/N=1000/221-surge_c.csv b/SurgeData/221-surge_c.csv similarity index 100% rename from SurgeData/N=1000/221-surge_c.csv rename to SurgeData/221-surge_c.csv diff --git a/SurgeData/N=1000/221-surge_w.csv b/SurgeData/221-surge_w.csv similarity index 100% rename from SurgeData/N=1000/221-surge_w.csv rename to SurgeData/221-surge_w.csv diff --git a/SurgeData/N=1000/221-time_c.csv b/SurgeData/221-time_c.csv similarity index 100% rename from SurgeData/N=1000/221-time_c.csv rename to SurgeData/221-time_c.csv diff --git a/SurgeData/N=1000/221-time_w.csv b/SurgeData/221-time_w.csv similarity index 100% rename from SurgeData/N=1000/221-time_w.csv rename to SurgeData/221-time_w.csv diff --git a/SurgeData/N=1000/221-waterlevel_c.csv b/SurgeData/221-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/221-waterlevel_c.csv rename to SurgeData/221-waterlevel_c.csv diff --git a/SurgeData/N=1000/221-waterlevel_w.csv b/SurgeData/221-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/221-waterlevel_w.csv rename to SurgeData/221-waterlevel_w.csv diff --git a/SurgeData/222-num_storm.csv b/SurgeData/222-num_storm.csv new file mode 100644 index 00000000..fc60025b --- /dev/null +++ b/SurgeData/222-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,2.0 +2022,2.0,5.0 +2023,0.0,2.0 +2024,0.0,3.0 +2025,3.0,5.0 +2026,0.0,3.0 +2027,1.0,2.0 +2028,3.0,2.0 +2029,1.0,4.0 +2030,1.0,7.0 +2031,4.0,4.0 +2032,1.0,4.0 +2033,1.0,2.0 +2034,1.0,2.0 +2035,6.0,3.0 +2036,5.0,4.0 +2037,6.0,6.0 +2038,0.0,6.0 +2039,1.0,3.0 +2040,2.0,1.0 +2041,3.0,4.0 +2042,5.0,2.0 +2043,2.0,5.0 +2044,2.0,6.0 +2045,1.0,4.0 +2046,4.0,3.0 +2047,2.0,6.0 +2048,1.0,4.0 +2049,0.0,3.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,0.0,3.0 +2054,0.0,6.0 +2055,0.0,5.0 +2056,1.0,4.0 +2057,1.0,3.0 +2058,0.0,6.0 +2059,3.0,6.0 +2060,2.0,6.0 +2061,3.0,3.0 +2062,2.0,4.0 +2063,0.0,5.0 +2064,1.0,1.0 +2065,2.0,5.0 +2066,3.0,6.0 +2067,1.0,1.0 +2068,0.0,5.0 +2069,2.0,2.0 +2070,1.0,3.0 +2071,4.0,6.0 +2072,3.0,7.0 +2073,0.0,1.0 +2074,2.0,5.0 +2075,1.0,3.0 +2076,2.0,6.0 +2077,0.0,5.0 +2078,1.0,4.0 +2079,1.0,4.0 +2080,1.0,8.0 +2081,2.0,3.0 +2082,0.0,4.0 +2083,1.0,2.0 +2084,0.0,5.0 +2085,3.0,4.0 +2086,2.0,6.0 +2087,3.0,3.0 +2088,4.0,2.0 +2089,4.0,2.0 +2090,2.0,4.0 +2091,1.0,4.0 +2092,0.0,4.0 +2093,3.0,4.0 +2094,2.0,2.0 +2095,3.0,6.0 +2096,1.0,3.0 +2097,5.0,7.0 +2098,3.0,5.0 +2099,4.0,1.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/222-peak+year_c.csv b/SurgeData/222-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/222-peak+year_c.csv rename to SurgeData/222-peak+year_c.csv diff --git a/SurgeData/N=1000/222-peak+year_w.csv b/SurgeData/222-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/222-peak+year_w.csv rename to SurgeData/222-peak+year_w.csv diff --git a/SurgeData/N=1000/222-peak_c.csv b/SurgeData/222-peak_c.csv similarity index 100% rename from SurgeData/N=1000/222-peak_c.csv rename to SurgeData/222-peak_c.csv diff --git a/SurgeData/N=1000/222-peak_w.csv b/SurgeData/222-peak_w.csv similarity index 100% rename from SurgeData/N=1000/222-peak_w.csv rename to SurgeData/222-peak_w.csv diff --git a/SurgeData/N=1000/222-surge_c.csv b/SurgeData/222-surge_c.csv similarity index 100% rename from SurgeData/N=1000/222-surge_c.csv rename to SurgeData/222-surge_c.csv diff --git a/SurgeData/N=1000/222-surge_w.csv b/SurgeData/222-surge_w.csv similarity index 100% rename from SurgeData/N=1000/222-surge_w.csv rename to SurgeData/222-surge_w.csv diff --git a/SurgeData/N=1000/222-time_c.csv b/SurgeData/222-time_c.csv similarity index 100% rename from SurgeData/N=1000/222-time_c.csv rename to SurgeData/222-time_c.csv diff --git a/SurgeData/N=1000/222-time_w.csv b/SurgeData/222-time_w.csv similarity index 100% rename from SurgeData/N=1000/222-time_w.csv rename to SurgeData/222-time_w.csv diff --git a/SurgeData/N=1000/222-waterlevel_c.csv b/SurgeData/222-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/222-waterlevel_c.csv rename to SurgeData/222-waterlevel_c.csv diff --git a/SurgeData/N=1000/222-waterlevel_w.csv b/SurgeData/222-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/222-waterlevel_w.csv rename to SurgeData/222-waterlevel_w.csv diff --git a/SurgeData/223-num_storm.csv b/SurgeData/223-num_storm.csv new file mode 100644 index 00000000..bc625397 --- /dev/null +++ b/SurgeData/223-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,1.0 +2021,3.0,3.0 +2022,4.0,6.0 +2023,2.0,2.0 +2024,3.0,4.0 +2025,0.0,5.0 +2026,3.0,1.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,0.0,7.0 +2030,0.0,8.0 +2031,3.0,2.0 +2032,1.0,2.0 +2033,0.0,6.0 +2034,4.0,6.0 +2035,4.0,6.0 +2036,2.0,3.0 +2037,0.0,5.0 +2038,0.0,5.0 +2039,2.0,5.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,0.0,3.0 +2043,2.0,4.0 +2044,2.0,6.0 +2045,1.0,6.0 +2046,1.0,2.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,1.0,1.0 +2050,2.0,7.0 +2051,2.0,3.0 +2052,1.0,1.0 +2053,1.0,3.0 +2054,0.0,1.0 +2055,2.0,3.0 +2056,1.0,3.0 +2057,0.0,3.0 +2058,0.0,8.0 +2059,1.0,5.0 +2060,3.0,3.0 +2061,2.0,2.0 +2062,3.0,4.0 +2063,1.0,3.0 +2064,2.0,6.0 +2065,4.0,1.0 +2066,0.0,5.0 +2067,1.0,1.0 +2068,1.0,6.0 +2069,1.0,3.0 +2070,2.0,7.0 +2071,2.0,0.0 +2072,3.0,1.0 +2073,1.0,6.0 +2074,3.0,4.0 +2075,3.0,1.0 +2076,2.0,4.0 +2077,0.0,7.0 +2078,1.0,2.0 +2079,3.0,5.0 +2080,0.0,3.0 +2081,2.0,2.0 +2082,0.0,2.0 +2083,2.0,3.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,1.0,7.0 +2088,0.0,3.0 +2089,3.0,4.0 +2090,3.0,9.0 +2091,0.0,5.0 +2092,1.0,6.0 +2093,4.0,4.0 +2094,2.0,3.0 +2095,2.0,7.0 +2096,1.0,6.0 +2097,1.0,4.0 +2098,3.0,1.0 +2099,0.0,5.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/223-peak+year_c.csv b/SurgeData/223-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/223-peak+year_c.csv rename to SurgeData/223-peak+year_c.csv diff --git a/SurgeData/N=1000/223-peak+year_w.csv b/SurgeData/223-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/223-peak+year_w.csv rename to SurgeData/223-peak+year_w.csv diff --git a/SurgeData/N=1000/223-peak_c.csv b/SurgeData/223-peak_c.csv similarity index 100% rename from SurgeData/N=1000/223-peak_c.csv rename to SurgeData/223-peak_c.csv diff --git a/SurgeData/N=1000/223-peak_w.csv b/SurgeData/223-peak_w.csv similarity index 100% rename from SurgeData/N=1000/223-peak_w.csv rename to SurgeData/223-peak_w.csv diff --git a/SurgeData/N=1000/223-surge_c.csv b/SurgeData/223-surge_c.csv similarity index 100% rename from SurgeData/N=1000/223-surge_c.csv rename to SurgeData/223-surge_c.csv diff --git a/SurgeData/N=1000/223-surge_w.csv b/SurgeData/223-surge_w.csv similarity index 100% rename from SurgeData/N=1000/223-surge_w.csv rename to SurgeData/223-surge_w.csv diff --git a/SurgeData/N=1000/223-time_c.csv b/SurgeData/223-time_c.csv similarity index 100% rename from SurgeData/N=1000/223-time_c.csv rename to SurgeData/223-time_c.csv diff --git a/SurgeData/N=1000/223-time_w.csv b/SurgeData/223-time_w.csv similarity index 100% rename from SurgeData/N=1000/223-time_w.csv rename to SurgeData/223-time_w.csv diff --git a/SurgeData/N=1000/223-waterlevel_c.csv b/SurgeData/223-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/223-waterlevel_c.csv rename to SurgeData/223-waterlevel_c.csv diff --git a/SurgeData/N=1000/223-waterlevel_w.csv b/SurgeData/223-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/223-waterlevel_w.csv rename to SurgeData/223-waterlevel_w.csv diff --git a/SurgeData/N=1000/224-peak+year_c.csv b/SurgeData/224-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/224-peak+year_c.csv rename to SurgeData/224-peak+year_c.csv diff --git a/SurgeData/N=1000/224-peak+year_w.csv b/SurgeData/224-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/224-peak+year_w.csv rename to SurgeData/224-peak+year_w.csv diff --git a/SurgeData/N=1000/224-peak_c.csv b/SurgeData/224-peak_c.csv similarity index 100% rename from SurgeData/N=1000/224-peak_c.csv rename to SurgeData/224-peak_c.csv diff --git a/SurgeData/N=1000/224-peak_w.csv b/SurgeData/224-peak_w.csv similarity index 100% rename from SurgeData/N=1000/224-peak_w.csv rename to SurgeData/224-peak_w.csv diff --git a/SurgeData/N=1000/224-surge_c.csv b/SurgeData/224-surge_c.csv similarity index 100% rename from SurgeData/N=1000/224-surge_c.csv rename to SurgeData/224-surge_c.csv diff --git a/SurgeData/N=1000/224-surge_w.csv b/SurgeData/224-surge_w.csv similarity index 100% rename from SurgeData/N=1000/224-surge_w.csv rename to SurgeData/224-surge_w.csv diff --git a/SurgeData/N=1000/224-time_c.csv b/SurgeData/224-time_c.csv similarity index 100% rename from SurgeData/N=1000/224-time_c.csv rename to SurgeData/224-time_c.csv diff --git a/SurgeData/N=1000/224-time_w.csv b/SurgeData/224-time_w.csv similarity index 100% rename from SurgeData/N=1000/224-time_w.csv rename to SurgeData/224-time_w.csv diff --git a/SurgeData/N=1000/224-waterlevel_c.csv b/SurgeData/224-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/224-waterlevel_c.csv rename to SurgeData/224-waterlevel_c.csv diff --git a/SurgeData/N=1000/224-waterlevel_w.csv b/SurgeData/224-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/224-waterlevel_w.csv rename to SurgeData/224-waterlevel_w.csv diff --git a/SurgeData/225-num_storm.csv b/SurgeData/225-num_storm.csv new file mode 100644 index 00000000..ff42af63 --- /dev/null +++ b/SurgeData/225-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,2.0 +2021,2.0,5.0 +2022,0.0,5.0 +2023,3.0,3.0 +2024,1.0,1.0 +2025,2.0,4.0 +2026,1.0,3.0 +2027,1.0,2.0 +2028,3.0,7.0 +2029,1.0,6.0 +2030,2.0,4.0 +2031,3.0,5.0 +2032,2.0,2.0 +2033,0.0,3.0 +2034,2.0,2.0 +2035,1.0,3.0 +2036,2.0,2.0 +2037,2.0,4.0 +2038,1.0,4.0 +2039,3.0,1.0 +2040,0.0,2.0 +2041,0.0,2.0 +2042,2.0,5.0 +2043,1.0,5.0 +2044,3.0,7.0 +2045,1.0,2.0 +2046,1.0,2.0 +2047,1.0,4.0 +2048,1.0,5.0 +2049,1.0,3.0 +2050,0.0,2.0 +2051,1.0,4.0 +2052,2.0,6.0 +2053,3.0,3.0 +2054,0.0,4.0 +2055,1.0,3.0 +2056,0.0,2.0 +2057,4.0,5.0 +2058,2.0,1.0 +2059,3.0,3.0 +2060,0.0,4.0 +2061,3.0,6.0 +2062,1.0,3.0 +2063,2.0,6.0 +2064,5.0,6.0 +2065,2.0,3.0 +2066,1.0,5.0 +2067,2.0,4.0 +2068,0.0,5.0 +2069,0.0,6.0 +2070,1.0,4.0 +2071,2.0,4.0 +2072,1.0,4.0 +2073,0.0,2.0 +2074,1.0,4.0 +2075,0.0,6.0 +2076,1.0,1.0 +2077,2.0,3.0 +2078,1.0,6.0 +2079,1.0,5.0 +2080,1.0,5.0 +2081,0.0,7.0 +2082,2.0,4.0 +2083,1.0,4.0 +2084,2.0,3.0 +2085,2.0,5.0 +2086,2.0,5.0 +2087,1.0,1.0 +2088,1.0,11.0 +2089,2.0,2.0 +2090,0.0,1.0 +2091,2.0,2.0 +2092,0.0,5.0 +2093,1.0,4.0 +2094,3.0,3.0 +2095,0.0,6.0 +2096,0.0,3.0 +2097,1.0,5.0 +2098,1.0,6.0 +2099,1.0,6.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/225-peak+year_c.csv b/SurgeData/225-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/225-peak+year_c.csv rename to SurgeData/225-peak+year_c.csv diff --git a/SurgeData/N=1000/225-peak+year_w.csv b/SurgeData/225-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/225-peak+year_w.csv rename to SurgeData/225-peak+year_w.csv diff --git a/SurgeData/N=1000/225-peak_c.csv b/SurgeData/225-peak_c.csv similarity index 100% rename from SurgeData/N=1000/225-peak_c.csv rename to SurgeData/225-peak_c.csv diff --git a/SurgeData/N=1000/225-peak_w.csv b/SurgeData/225-peak_w.csv similarity index 100% rename from SurgeData/N=1000/225-peak_w.csv rename to SurgeData/225-peak_w.csv diff --git a/SurgeData/N=1000/225-surge_c.csv b/SurgeData/225-surge_c.csv similarity index 100% rename from SurgeData/N=1000/225-surge_c.csv rename to SurgeData/225-surge_c.csv diff --git a/SurgeData/N=1000/225-surge_w.csv b/SurgeData/225-surge_w.csv similarity index 100% rename from SurgeData/N=1000/225-surge_w.csv rename to SurgeData/225-surge_w.csv diff --git a/SurgeData/N=1000/225-time_c.csv b/SurgeData/225-time_c.csv similarity index 100% rename from SurgeData/N=1000/225-time_c.csv rename to SurgeData/225-time_c.csv diff --git a/SurgeData/N=1000/225-time_w.csv b/SurgeData/225-time_w.csv similarity index 100% rename from SurgeData/N=1000/225-time_w.csv rename to SurgeData/225-time_w.csv diff --git a/SurgeData/N=1000/225-waterlevel_c.csv b/SurgeData/225-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/225-waterlevel_c.csv rename to SurgeData/225-waterlevel_c.csv diff --git a/SurgeData/N=1000/225-waterlevel_w.csv b/SurgeData/225-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/225-waterlevel_w.csv rename to SurgeData/225-waterlevel_w.csv diff --git a/SurgeData/N=1000/226-peak+year_c.csv b/SurgeData/226-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/226-peak+year_c.csv rename to SurgeData/226-peak+year_c.csv diff --git a/SurgeData/N=1000/226-peak+year_w.csv b/SurgeData/226-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/226-peak+year_w.csv rename to SurgeData/226-peak+year_w.csv diff --git a/SurgeData/N=1000/226-peak_c.csv b/SurgeData/226-peak_c.csv similarity index 100% rename from SurgeData/N=1000/226-peak_c.csv rename to SurgeData/226-peak_c.csv diff --git a/SurgeData/N=1000/226-peak_w.csv b/SurgeData/226-peak_w.csv similarity index 100% rename from SurgeData/N=1000/226-peak_w.csv rename to SurgeData/226-peak_w.csv diff --git a/SurgeData/N=1000/226-surge_c.csv b/SurgeData/226-surge_c.csv similarity index 100% rename from SurgeData/N=1000/226-surge_c.csv rename to SurgeData/226-surge_c.csv diff --git a/SurgeData/N=1000/226-surge_w.csv b/SurgeData/226-surge_w.csv similarity index 100% rename from SurgeData/N=1000/226-surge_w.csv rename to SurgeData/226-surge_w.csv diff --git a/SurgeData/N=1000/226-time_c.csv b/SurgeData/226-time_c.csv similarity index 100% rename from SurgeData/N=1000/226-time_c.csv rename to SurgeData/226-time_c.csv diff --git a/SurgeData/N=1000/226-time_w.csv b/SurgeData/226-time_w.csv similarity index 100% rename from SurgeData/N=1000/226-time_w.csv rename to SurgeData/226-time_w.csv diff --git a/SurgeData/N=1000/226-waterlevel_c.csv b/SurgeData/226-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/226-waterlevel_c.csv rename to SurgeData/226-waterlevel_c.csv diff --git a/SurgeData/N=1000/226-waterlevel_w.csv b/SurgeData/226-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/226-waterlevel_w.csv rename to SurgeData/226-waterlevel_w.csv diff --git a/SurgeData/227-num_storm.csv b/SurgeData/227-num_storm.csv new file mode 100644 index 00000000..36261e17 --- /dev/null +++ b/SurgeData/227-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,2.0,4.0 +2022,1.0,4.0 +2023,2.0,5.0 +2024,0.0,4.0 +2025,1.0,7.0 +2026,1.0,3.0 +2027,4.0,2.0 +2028,1.0,4.0 +2029,2.0,1.0 +2030,3.0,4.0 +2031,4.0,6.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,0.0,5.0 +2035,3.0,1.0 +2036,0.0,4.0 +2037,2.0,4.0 +2038,3.0,2.0 +2039,4.0,1.0 +2040,0.0,2.0 +2041,1.0,3.0 +2042,2.0,9.0 +2043,2.0,4.0 +2044,0.0,2.0 +2045,3.0,2.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,0.0,4.0 +2049,2.0,4.0 +2050,0.0,2.0 +2051,3.0,5.0 +2052,4.0,3.0 +2053,1.0,2.0 +2054,3.0,4.0 +2055,0.0,2.0 +2056,1.0,4.0 +2057,1.0,3.0 +2058,1.0,7.0 +2059,2.0,3.0 +2060,1.0,5.0 +2061,2.0,2.0 +2062,3.0,9.0 +2063,1.0,5.0 +2064,2.0,2.0 +2065,3.0,4.0 +2066,2.0,6.0 +2067,2.0,3.0 +2068,1.0,1.0 +2069,1.0,4.0 +2070,3.0,4.0 +2071,1.0,0.0 +2072,2.0,4.0 +2073,0.0,8.0 +2074,2.0,3.0 +2075,3.0,3.0 +2076,4.0,7.0 +2077,0.0,2.0 +2078,0.0,3.0 +2079,4.0,8.0 +2080,1.0,1.0 +2081,2.0,1.0 +2082,0.0,8.0 +2083,0.0,2.0 +2084,2.0,2.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,0.0,5.0 +2088,1.0,2.0 +2089,2.0,6.0 +2090,1.0,5.0 +2091,2.0,2.0 +2092,0.0,6.0 +2093,4.0,5.0 +2094,0.0,7.0 +2095,2.0,3.0 +2096,1.0,5.0 +2097,1.0,4.0 +2098,2.0,1.0 +2099,0.0,4.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/227-peak+year_c.csv b/SurgeData/227-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/227-peak+year_c.csv rename to SurgeData/227-peak+year_c.csv diff --git a/SurgeData/N=1000/227-peak+year_w.csv b/SurgeData/227-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/227-peak+year_w.csv rename to SurgeData/227-peak+year_w.csv diff --git a/SurgeData/N=1000/227-peak_c.csv b/SurgeData/227-peak_c.csv similarity index 100% rename from SurgeData/N=1000/227-peak_c.csv rename to SurgeData/227-peak_c.csv diff --git a/SurgeData/N=1000/227-peak_w.csv b/SurgeData/227-peak_w.csv similarity index 100% rename from SurgeData/N=1000/227-peak_w.csv rename to SurgeData/227-peak_w.csv diff --git a/SurgeData/N=1000/227-surge_c.csv b/SurgeData/227-surge_c.csv similarity index 100% rename from SurgeData/N=1000/227-surge_c.csv rename to SurgeData/227-surge_c.csv diff --git a/SurgeData/N=1000/227-surge_w.csv b/SurgeData/227-surge_w.csv similarity index 100% rename from SurgeData/N=1000/227-surge_w.csv rename to SurgeData/227-surge_w.csv diff --git a/SurgeData/N=1000/227-time_c.csv b/SurgeData/227-time_c.csv similarity index 100% rename from SurgeData/N=1000/227-time_c.csv rename to SurgeData/227-time_c.csv diff --git a/SurgeData/N=1000/227-time_w.csv b/SurgeData/227-time_w.csv similarity index 100% rename from SurgeData/N=1000/227-time_w.csv rename to SurgeData/227-time_w.csv diff --git a/SurgeData/N=1000/227-waterlevel_c.csv b/SurgeData/227-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/227-waterlevel_c.csv rename to SurgeData/227-waterlevel_c.csv diff --git a/SurgeData/N=1000/227-waterlevel_w.csv b/SurgeData/227-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/227-waterlevel_w.csv rename to SurgeData/227-waterlevel_w.csv diff --git a/SurgeData/228-num_storm.csv b/SurgeData/228-num_storm.csv new file mode 100644 index 00000000..251c2676 --- /dev/null +++ b/SurgeData/228-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,4.0 +2021,2.0,3.0 +2022,2.0,0.0 +2023,3.0,2.0 +2024,0.0,3.0 +2025,0.0,4.0 +2026,3.0,5.0 +2027,3.0,5.0 +2028,2.0,2.0 +2029,0.0,3.0 +2030,0.0,4.0 +2031,1.0,4.0 +2032,0.0,3.0 +2033,0.0,4.0 +2034,1.0,1.0 +2035,4.0,1.0 +2036,2.0,5.0 +2037,0.0,5.0 +2038,2.0,3.0 +2039,3.0,4.0 +2040,0.0,4.0 +2041,2.0,3.0 +2042,3.0,3.0 +2043,0.0,1.0 +2044,1.0,10.0 +2045,1.0,4.0 +2046,3.0,3.0 +2047,1.0,5.0 +2048,1.0,3.0 +2049,3.0,2.0 +2050,0.0,3.0 +2051,2.0,3.0 +2052,2.0,2.0 +2053,2.0,7.0 +2054,0.0,3.0 +2055,0.0,5.0 +2056,0.0,5.0 +2057,1.0,4.0 +2058,2.0,3.0 +2059,2.0,5.0 +2060,1.0,2.0 +2061,0.0,4.0 +2062,4.0,2.0 +2063,1.0,2.0 +2064,1.0,2.0 +2065,2.0,3.0 +2066,0.0,1.0 +2067,1.0,7.0 +2068,4.0,3.0 +2069,3.0,5.0 +2070,0.0,7.0 +2071,4.0,7.0 +2072,0.0,3.0 +2073,1.0,4.0 +2074,2.0,6.0 +2075,1.0,3.0 +2076,3.0,5.0 +2077,2.0,4.0 +2078,3.0,3.0 +2079,0.0,2.0 +2080,1.0,3.0 +2081,0.0,2.0 +2082,1.0,5.0 +2083,1.0,4.0 +2084,2.0,4.0 +2085,2.0,5.0 +2086,2.0,4.0 +2087,2.0,5.0 +2088,2.0,3.0 +2089,0.0,8.0 +2090,0.0,5.0 +2091,1.0,4.0 +2092,2.0,6.0 +2093,1.0,1.0 +2094,1.0,9.0 +2095,3.0,4.0 +2096,4.0,1.0 +2097,2.0,1.0 +2098,1.0,2.0 +2099,3.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/228-peak+year_c.csv b/SurgeData/228-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/228-peak+year_c.csv rename to SurgeData/228-peak+year_c.csv diff --git a/SurgeData/N=1000/228-peak+year_w.csv b/SurgeData/228-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/228-peak+year_w.csv rename to SurgeData/228-peak+year_w.csv diff --git a/SurgeData/N=1000/228-peak_c.csv b/SurgeData/228-peak_c.csv similarity index 100% rename from SurgeData/N=1000/228-peak_c.csv rename to SurgeData/228-peak_c.csv diff --git a/SurgeData/N=1000/228-peak_w.csv b/SurgeData/228-peak_w.csv similarity index 100% rename from SurgeData/N=1000/228-peak_w.csv rename to SurgeData/228-peak_w.csv diff --git a/SurgeData/N=1000/228-surge_c.csv b/SurgeData/228-surge_c.csv similarity index 100% rename from SurgeData/N=1000/228-surge_c.csv rename to SurgeData/228-surge_c.csv diff --git a/SurgeData/N=1000/228-surge_w.csv b/SurgeData/228-surge_w.csv similarity index 100% rename from SurgeData/N=1000/228-surge_w.csv rename to SurgeData/228-surge_w.csv diff --git a/SurgeData/N=1000/228-time_c.csv b/SurgeData/228-time_c.csv similarity index 100% rename from SurgeData/N=1000/228-time_c.csv rename to SurgeData/228-time_c.csv diff --git a/SurgeData/N=1000/228-time_w.csv b/SurgeData/228-time_w.csv similarity index 100% rename from SurgeData/N=1000/228-time_w.csv rename to SurgeData/228-time_w.csv diff --git a/SurgeData/N=1000/228-waterlevel_c.csv b/SurgeData/228-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/228-waterlevel_c.csv rename to SurgeData/228-waterlevel_c.csv diff --git a/SurgeData/N=1000/228-waterlevel_w.csv b/SurgeData/228-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/228-waterlevel_w.csv rename to SurgeData/228-waterlevel_w.csv diff --git a/SurgeData/229-num_storm.csv b/SurgeData/229-num_storm.csv new file mode 100644 index 00000000..63edf522 --- /dev/null +++ b/SurgeData/229-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,1.0,7.0 +2022,0.0,2.0 +2023,2.0,2.0 +2024,0.0,1.0 +2025,3.0,2.0 +2026,0.0,7.0 +2027,1.0,6.0 +2028,2.0,4.0 +2029,2.0,3.0 +2030,3.0,6.0 +2031,2.0,6.0 +2032,1.0,7.0 +2033,1.0,6.0 +2034,2.0,2.0 +2035,0.0,5.0 +2036,1.0,6.0 +2037,1.0,3.0 +2038,1.0,4.0 +2039,1.0,6.0 +2040,2.0,4.0 +2041,2.0,4.0 +2042,1.0,4.0 +2043,1.0,5.0 +2044,2.0,3.0 +2045,2.0,2.0 +2046,4.0,4.0 +2047,2.0,4.0 +2048,1.0,4.0 +2049,2.0,4.0 +2050,2.0,5.0 +2051,0.0,3.0 +2052,1.0,4.0 +2053,3.0,5.0 +2054,6.0,5.0 +2055,0.0,3.0 +2056,1.0,5.0 +2057,1.0,1.0 +2058,0.0,7.0 +2059,1.0,2.0 +2060,2.0,1.0 +2061,1.0,9.0 +2062,1.0,5.0 +2063,3.0,3.0 +2064,3.0,1.0 +2065,2.0,5.0 +2066,3.0,3.0 +2067,4.0,5.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,0.0,2.0 +2071,0.0,5.0 +2072,2.0,2.0 +2073,3.0,9.0 +2074,2.0,8.0 +2075,0.0,5.0 +2076,2.0,7.0 +2077,2.0,1.0 +2078,0.0,3.0 +2079,1.0,5.0 +2080,1.0,4.0 +2081,3.0,6.0 +2082,1.0,5.0 +2083,1.0,5.0 +2084,2.0,2.0 +2085,3.0,7.0 +2086,1.0,11.0 +2087,2.0,7.0 +2088,3.0,5.0 +2089,2.0,8.0 +2090,2.0,3.0 +2091,5.0,3.0 +2092,3.0,2.0 +2093,1.0,1.0 +2094,2.0,4.0 +2095,0.0,6.0 +2096,1.0,3.0 +2097,1.0,1.0 +2098,1.0,5.0 +2099,0.0,7.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/229-peak+year_c.csv b/SurgeData/229-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/229-peak+year_c.csv rename to SurgeData/229-peak+year_c.csv diff --git a/SurgeData/N=1000/229-peak+year_w.csv b/SurgeData/229-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/229-peak+year_w.csv rename to SurgeData/229-peak+year_w.csv diff --git a/SurgeData/N=1000/229-peak_c.csv b/SurgeData/229-peak_c.csv similarity index 100% rename from SurgeData/N=1000/229-peak_c.csv rename to SurgeData/229-peak_c.csv diff --git a/SurgeData/N=1000/229-peak_w.csv b/SurgeData/229-peak_w.csv similarity index 100% rename from SurgeData/N=1000/229-peak_w.csv rename to SurgeData/229-peak_w.csv diff --git a/SurgeData/N=1000/229-surge_c.csv b/SurgeData/229-surge_c.csv similarity index 100% rename from SurgeData/N=1000/229-surge_c.csv rename to SurgeData/229-surge_c.csv diff --git a/SurgeData/N=1000/229-surge_w.csv b/SurgeData/229-surge_w.csv similarity index 100% rename from SurgeData/N=1000/229-surge_w.csv rename to SurgeData/229-surge_w.csv diff --git a/SurgeData/N=1000/229-time_c.csv b/SurgeData/229-time_c.csv similarity index 100% rename from SurgeData/N=1000/229-time_c.csv rename to SurgeData/229-time_c.csv diff --git a/SurgeData/N=1000/229-time_w.csv b/SurgeData/229-time_w.csv similarity index 100% rename from SurgeData/N=1000/229-time_w.csv rename to SurgeData/229-time_w.csv diff --git a/SurgeData/N=1000/229-waterlevel_c.csv b/SurgeData/229-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/229-waterlevel_c.csv rename to SurgeData/229-waterlevel_c.csv diff --git a/SurgeData/N=1000/229-waterlevel_w.csv b/SurgeData/229-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/229-waterlevel_w.csv rename to SurgeData/229-waterlevel_w.csv diff --git a/SurgeData/23-num_storm.csv b/SurgeData/23-num_storm.csv new file mode 100644 index 00000000..924bb271 --- /dev/null +++ b/SurgeData/23-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,5.0 +2022,4.0,5.0 +2023,2.0,2.0 +2024,1.0,4.0 +2025,3.0,3.0 +2026,3.0,2.0 +2027,1.0,1.0 +2028,0.0,3.0 +2029,2.0,2.0 +2030,2.0,5.0 +2031,1.0,7.0 +2032,1.0,7.0 +2033,1.0,4.0 +2034,2.0,2.0 +2035,2.0,5.0 +2036,2.0,4.0 +2037,2.0,2.0 +2038,2.0,1.0 +2039,0.0,2.0 +2040,5.0,2.0 +2041,1.0,4.0 +2042,1.0,5.0 +2043,0.0,2.0 +2044,2.0,7.0 +2045,2.0,5.0 +2046,0.0,2.0 +2047,0.0,3.0 +2048,3.0,5.0 +2049,1.0,3.0 +2050,3.0,4.0 +2051,2.0,4.0 +2052,3.0,4.0 +2053,3.0,5.0 +2054,1.0,3.0 +2055,1.0,3.0 +2056,0.0,7.0 +2057,0.0,7.0 +2058,1.0,2.0 +2059,1.0,3.0 +2060,3.0,7.0 +2061,0.0,5.0 +2062,2.0,3.0 +2063,0.0,6.0 +2064,2.0,5.0 +2065,2.0,5.0 +2066,0.0,5.0 +2067,2.0,3.0 +2068,0.0,3.0 +2069,1.0,5.0 +2070,4.0,5.0 +2071,2.0,6.0 +2072,1.0,5.0 +2073,3.0,4.0 +2074,4.0,7.0 +2075,1.0,6.0 +2076,0.0,3.0 +2077,2.0,3.0 +2078,2.0,4.0 +2079,1.0,3.0 +2080,0.0,7.0 +2081,1.0,6.0 +2082,2.0,2.0 +2083,0.0,2.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,1.0,3.0 +2087,1.0,3.0 +2088,1.0,0.0 +2089,0.0,2.0 +2090,1.0,4.0 +2091,2.0,3.0 +2092,2.0,4.0 +2093,2.0,4.0 +2094,1.0,10.0 +2095,4.0,3.0 +2096,2.0,11.0 +2097,1.0,3.0 +2098,0.0,4.0 +2099,2.0,4.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/23-peak+year_c.csv b/SurgeData/23-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/23-peak+year_c.csv rename to SurgeData/23-peak+year_c.csv diff --git a/SurgeData/N=1000/23-peak+year_w.csv b/SurgeData/23-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/23-peak+year_w.csv rename to SurgeData/23-peak+year_w.csv diff --git a/SurgeData/N=1000/23-peak_c.csv b/SurgeData/23-peak_c.csv similarity index 100% rename from SurgeData/N=1000/23-peak_c.csv rename to SurgeData/23-peak_c.csv diff --git a/SurgeData/N=1000/23-peak_w.csv b/SurgeData/23-peak_w.csv similarity index 100% rename from SurgeData/N=1000/23-peak_w.csv rename to SurgeData/23-peak_w.csv diff --git a/SurgeData/N=1000/23-surge_c.csv b/SurgeData/23-surge_c.csv similarity index 100% rename from SurgeData/N=1000/23-surge_c.csv rename to SurgeData/23-surge_c.csv diff --git a/SurgeData/N=1000/23-surge_w.csv b/SurgeData/23-surge_w.csv similarity index 100% rename from SurgeData/N=1000/23-surge_w.csv rename to SurgeData/23-surge_w.csv diff --git a/SurgeData/N=1000/23-time_c.csv b/SurgeData/23-time_c.csv similarity index 100% rename from SurgeData/N=1000/23-time_c.csv rename to SurgeData/23-time_c.csv diff --git a/SurgeData/N=1000/23-time_w.csv b/SurgeData/23-time_w.csv similarity index 100% rename from SurgeData/N=1000/23-time_w.csv rename to SurgeData/23-time_w.csv diff --git a/SurgeData/N=1000/23-waterlevel_c.csv b/SurgeData/23-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/23-waterlevel_c.csv rename to SurgeData/23-waterlevel_c.csv diff --git a/SurgeData/N=1000/23-waterlevel_w.csv b/SurgeData/23-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/23-waterlevel_w.csv rename to SurgeData/23-waterlevel_w.csv diff --git a/SurgeData/230-num_storm.csv b/SurgeData/230-num_storm.csv new file mode 100644 index 00000000..4acaf814 --- /dev/null +++ b/SurgeData/230-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,6.0 +2022,0.0,6.0 +2023,2.0,4.0 +2024,3.0,6.0 +2025,0.0,4.0 +2026,2.0,4.0 +2027,2.0,2.0 +2028,3.0,5.0 +2029,1.0,3.0 +2030,2.0,3.0 +2031,2.0,1.0 +2032,0.0,3.0 +2033,2.0,2.0 +2034,1.0,6.0 +2035,0.0,5.0 +2036,4.0,3.0 +2037,2.0,5.0 +2038,1.0,3.0 +2039,1.0,5.0 +2040,0.0,5.0 +2041,2.0,3.0 +2042,1.0,1.0 +2043,3.0,4.0 +2044,1.0,3.0 +2045,0.0,6.0 +2046,0.0,3.0 +2047,3.0,5.0 +2048,1.0,7.0 +2049,3.0,2.0 +2050,1.0,7.0 +2051,2.0,4.0 +2052,3.0,2.0 +2053,1.0,6.0 +2054,3.0,6.0 +2055,0.0,6.0 +2056,1.0,4.0 +2057,2.0,2.0 +2058,2.0,5.0 +2059,0.0,6.0 +2060,0.0,3.0 +2061,3.0,5.0 +2062,3.0,1.0 +2063,4.0,3.0 +2064,1.0,2.0 +2065,2.0,4.0 +2066,3.0,5.0 +2067,4.0,7.0 +2068,1.0,2.0 +2069,1.0,3.0 +2070,0.0,4.0 +2071,0.0,2.0 +2072,1.0,3.0 +2073,2.0,4.0 +2074,2.0,8.0 +2075,1.0,5.0 +2076,2.0,2.0 +2077,3.0,3.0 +2078,1.0,0.0 +2079,1.0,7.0 +2080,2.0,4.0 +2081,2.0,2.0 +2082,4.0,2.0 +2083,2.0,5.0 +2084,1.0,7.0 +2085,4.0,6.0 +2086,3.0,2.0 +2087,2.0,4.0 +2088,4.0,6.0 +2089,0.0,3.0 +2090,4.0,5.0 +2091,3.0,5.0 +2092,0.0,4.0 +2093,1.0,4.0 +2094,0.0,0.0 +2095,0.0,8.0 +2096,1.0,1.0 +2097,4.0,4.0 +2098,2.0,5.0 +2099,0.0,6.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/230-peak+year_c.csv b/SurgeData/230-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/230-peak+year_c.csv rename to SurgeData/230-peak+year_c.csv diff --git a/SurgeData/N=1000/230-peak+year_w.csv b/SurgeData/230-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/230-peak+year_w.csv rename to SurgeData/230-peak+year_w.csv diff --git a/SurgeData/N=1000/230-peak_c.csv b/SurgeData/230-peak_c.csv similarity index 100% rename from SurgeData/N=1000/230-peak_c.csv rename to SurgeData/230-peak_c.csv diff --git a/SurgeData/N=1000/230-peak_w.csv b/SurgeData/230-peak_w.csv similarity index 100% rename from SurgeData/N=1000/230-peak_w.csv rename to SurgeData/230-peak_w.csv diff --git a/SurgeData/N=1000/230-surge_c.csv b/SurgeData/230-surge_c.csv similarity index 100% rename from SurgeData/N=1000/230-surge_c.csv rename to SurgeData/230-surge_c.csv diff --git a/SurgeData/N=1000/230-surge_w.csv b/SurgeData/230-surge_w.csv similarity index 100% rename from SurgeData/N=1000/230-surge_w.csv rename to SurgeData/230-surge_w.csv diff --git a/SurgeData/N=1000/230-time_c.csv b/SurgeData/230-time_c.csv similarity index 100% rename from SurgeData/N=1000/230-time_c.csv rename to SurgeData/230-time_c.csv diff --git a/SurgeData/N=1000/230-time_w.csv b/SurgeData/230-time_w.csv similarity index 100% rename from SurgeData/N=1000/230-time_w.csv rename to SurgeData/230-time_w.csv diff --git a/SurgeData/N=1000/230-waterlevel_c.csv b/SurgeData/230-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/230-waterlevel_c.csv rename to SurgeData/230-waterlevel_c.csv diff --git a/SurgeData/N=1000/230-waterlevel_w.csv b/SurgeData/230-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/230-waterlevel_w.csv rename to SurgeData/230-waterlevel_w.csv diff --git a/SurgeData/N=1000/231-peak+year_c.csv b/SurgeData/231-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/231-peak+year_c.csv rename to SurgeData/231-peak+year_c.csv diff --git a/SurgeData/N=1000/231-peak+year_w.csv b/SurgeData/231-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/231-peak+year_w.csv rename to SurgeData/231-peak+year_w.csv diff --git a/SurgeData/N=1000/231-peak_c.csv b/SurgeData/231-peak_c.csv similarity index 100% rename from SurgeData/N=1000/231-peak_c.csv rename to SurgeData/231-peak_c.csv diff --git a/SurgeData/N=1000/231-peak_w.csv b/SurgeData/231-peak_w.csv similarity index 100% rename from SurgeData/N=1000/231-peak_w.csv rename to SurgeData/231-peak_w.csv diff --git a/SurgeData/N=1000/231-surge_c.csv b/SurgeData/231-surge_c.csv similarity index 100% rename from SurgeData/N=1000/231-surge_c.csv rename to SurgeData/231-surge_c.csv diff --git a/SurgeData/N=1000/231-surge_w.csv b/SurgeData/231-surge_w.csv similarity index 100% rename from SurgeData/N=1000/231-surge_w.csv rename to SurgeData/231-surge_w.csv diff --git a/SurgeData/N=1000/231-time_c.csv b/SurgeData/231-time_c.csv similarity index 100% rename from SurgeData/N=1000/231-time_c.csv rename to SurgeData/231-time_c.csv diff --git a/SurgeData/N=1000/231-time_w.csv b/SurgeData/231-time_w.csv similarity index 100% rename from SurgeData/N=1000/231-time_w.csv rename to SurgeData/231-time_w.csv diff --git a/SurgeData/N=1000/231-waterlevel_c.csv b/SurgeData/231-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/231-waterlevel_c.csv rename to SurgeData/231-waterlevel_c.csv diff --git a/SurgeData/N=1000/231-waterlevel_w.csv b/SurgeData/231-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/231-waterlevel_w.csv rename to SurgeData/231-waterlevel_w.csv diff --git a/SurgeData/232-num_storm.csv b/SurgeData/232-num_storm.csv new file mode 100644 index 00000000..b7f6d249 --- /dev/null +++ b/SurgeData/232-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,0.0,2.0 +2022,2.0,4.0 +2023,0.0,2.0 +2024,1.0,4.0 +2025,1.0,4.0 +2026,0.0,4.0 +2027,1.0,10.0 +2028,2.0,7.0 +2029,3.0,4.0 +2030,2.0,1.0 +2031,1.0,4.0 +2032,1.0,2.0 +2033,1.0,2.0 +2034,2.0,6.0 +2035,0.0,4.0 +2036,0.0,4.0 +2037,1.0,9.0 +2038,1.0,5.0 +2039,3.0,3.0 +2040,2.0,2.0 +2041,3.0,2.0 +2042,3.0,4.0 +2043,1.0,3.0 +2044,0.0,4.0 +2045,3.0,3.0 +2046,5.0,9.0 +2047,3.0,2.0 +2048,3.0,8.0 +2049,0.0,5.0 +2050,1.0,3.0 +2051,0.0,5.0 +2052,1.0,5.0 +2053,0.0,2.0 +2054,4.0,2.0 +2055,1.0,3.0 +2056,4.0,4.0 +2057,1.0,1.0 +2058,2.0,7.0 +2059,2.0,3.0 +2060,1.0,1.0 +2061,1.0,3.0 +2062,3.0,4.0 +2063,0.0,3.0 +2064,1.0,2.0 +2065,1.0,4.0 +2066,0.0,4.0 +2067,2.0,3.0 +2068,3.0,5.0 +2069,4.0,5.0 +2070,3.0,5.0 +2071,1.0,3.0 +2072,0.0,2.0 +2073,3.0,3.0 +2074,2.0,4.0 +2075,2.0,4.0 +2076,0.0,8.0 +2077,0.0,3.0 +2078,2.0,4.0 +2079,0.0,7.0 +2080,0.0,4.0 +2081,3.0,1.0 +2082,2.0,4.0 +2083,0.0,3.0 +2084,1.0,2.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,0.0,4.0 +2088,2.0,5.0 +2089,0.0,2.0 +2090,0.0,3.0 +2091,1.0,6.0 +2092,1.0,5.0 +2093,2.0,1.0 +2094,1.0,3.0 +2095,0.0,7.0 +2096,2.0,5.0 +2097,1.0,4.0 +2098,2.0,4.0 +2099,5.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/232-peak+year_c.csv b/SurgeData/232-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/232-peak+year_c.csv rename to SurgeData/232-peak+year_c.csv diff --git a/SurgeData/N=1000/232-peak+year_w.csv b/SurgeData/232-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/232-peak+year_w.csv rename to SurgeData/232-peak+year_w.csv diff --git a/SurgeData/N=1000/232-peak_c.csv b/SurgeData/232-peak_c.csv similarity index 100% rename from SurgeData/N=1000/232-peak_c.csv rename to SurgeData/232-peak_c.csv diff --git a/SurgeData/N=1000/232-peak_w.csv b/SurgeData/232-peak_w.csv similarity index 100% rename from SurgeData/N=1000/232-peak_w.csv rename to SurgeData/232-peak_w.csv diff --git a/SurgeData/N=1000/232-surge_c.csv b/SurgeData/232-surge_c.csv similarity index 100% rename from SurgeData/N=1000/232-surge_c.csv rename to SurgeData/232-surge_c.csv diff --git a/SurgeData/N=1000/232-surge_w.csv b/SurgeData/232-surge_w.csv similarity index 100% rename from SurgeData/N=1000/232-surge_w.csv rename to SurgeData/232-surge_w.csv diff --git a/SurgeData/N=1000/232-time_c.csv b/SurgeData/232-time_c.csv similarity index 100% rename from SurgeData/N=1000/232-time_c.csv rename to SurgeData/232-time_c.csv diff --git a/SurgeData/N=1000/232-time_w.csv b/SurgeData/232-time_w.csv similarity index 100% rename from SurgeData/N=1000/232-time_w.csv rename to SurgeData/232-time_w.csv diff --git a/SurgeData/N=1000/232-waterlevel_c.csv b/SurgeData/232-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/232-waterlevel_c.csv rename to SurgeData/232-waterlevel_c.csv diff --git a/SurgeData/N=1000/232-waterlevel_w.csv b/SurgeData/232-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/232-waterlevel_w.csv rename to SurgeData/232-waterlevel_w.csv diff --git a/SurgeData/233-num_storm.csv b/SurgeData/233-num_storm.csv new file mode 100644 index 00000000..c34f1a84 --- /dev/null +++ b/SurgeData/233-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,3.0,2.0 +2022,1.0,4.0 +2023,0.0,4.0 +2024,2.0,7.0 +2025,2.0,5.0 +2026,3.0,3.0 +2027,4.0,4.0 +2028,1.0,7.0 +2029,4.0,4.0 +2030,0.0,3.0 +2031,2.0,2.0 +2032,2.0,3.0 +2033,4.0,5.0 +2034,0.0,1.0 +2035,1.0,5.0 +2036,1.0,5.0 +2037,3.0,3.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,2.0,4.0 +2041,4.0,2.0 +2042,0.0,3.0 +2043,2.0,6.0 +2044,2.0,2.0 +2045,3.0,6.0 +2046,2.0,6.0 +2047,0.0,3.0 +2048,0.0,9.0 +2049,1.0,3.0 +2050,1.0,9.0 +2051,2.0,7.0 +2052,1.0,0.0 +2053,2.0,3.0 +2054,2.0,0.0 +2055,3.0,4.0 +2056,1.0,5.0 +2057,2.0,2.0 +2058,4.0,2.0 +2059,0.0,4.0 +2060,0.0,1.0 +2061,4.0,2.0 +2062,1.0,2.0 +2063,2.0,3.0 +2064,0.0,0.0 +2065,2.0,2.0 +2066,2.0,6.0 +2067,2.0,3.0 +2068,2.0,1.0 +2069,2.0,6.0 +2070,0.0,1.0 +2071,1.0,6.0 +2072,1.0,6.0 +2073,5.0,4.0 +2074,1.0,4.0 +2075,0.0,3.0 +2076,2.0,3.0 +2077,1.0,4.0 +2078,0.0,7.0 +2079,1.0,4.0 +2080,4.0,6.0 +2081,0.0,3.0 +2082,3.0,2.0 +2083,0.0,5.0 +2084,1.0,7.0 +2085,1.0,8.0 +2086,1.0,4.0 +2087,3.0,3.0 +2088,2.0,6.0 +2089,2.0,4.0 +2090,1.0,3.0 +2091,2.0,4.0 +2092,4.0,2.0 +2093,0.0,5.0 +2094,1.0,5.0 +2095,1.0,5.0 +2096,2.0,3.0 +2097,0.0,7.0 +2098,1.0,3.0 +2099,0.0,5.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/233-peak+year_c.csv b/SurgeData/233-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/233-peak+year_c.csv rename to SurgeData/233-peak+year_c.csv diff --git a/SurgeData/N=1000/233-peak+year_w.csv b/SurgeData/233-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/233-peak+year_w.csv rename to SurgeData/233-peak+year_w.csv diff --git a/SurgeData/N=1000/233-peak_c.csv b/SurgeData/233-peak_c.csv similarity index 100% rename from SurgeData/N=1000/233-peak_c.csv rename to SurgeData/233-peak_c.csv diff --git a/SurgeData/N=1000/233-peak_w.csv b/SurgeData/233-peak_w.csv similarity index 100% rename from SurgeData/N=1000/233-peak_w.csv rename to SurgeData/233-peak_w.csv diff --git a/SurgeData/N=1000/233-surge_c.csv b/SurgeData/233-surge_c.csv similarity index 100% rename from SurgeData/N=1000/233-surge_c.csv rename to SurgeData/233-surge_c.csv diff --git a/SurgeData/N=1000/233-surge_w.csv b/SurgeData/233-surge_w.csv similarity index 100% rename from SurgeData/N=1000/233-surge_w.csv rename to SurgeData/233-surge_w.csv diff --git a/SurgeData/N=1000/233-time_c.csv b/SurgeData/233-time_c.csv similarity index 100% rename from SurgeData/N=1000/233-time_c.csv rename to SurgeData/233-time_c.csv diff --git a/SurgeData/N=1000/233-time_w.csv b/SurgeData/233-time_w.csv similarity index 100% rename from SurgeData/N=1000/233-time_w.csv rename to SurgeData/233-time_w.csv diff --git a/SurgeData/N=1000/233-waterlevel_c.csv b/SurgeData/233-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/233-waterlevel_c.csv rename to SurgeData/233-waterlevel_c.csv diff --git a/SurgeData/N=1000/233-waterlevel_w.csv b/SurgeData/233-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/233-waterlevel_w.csv rename to SurgeData/233-waterlevel_w.csv diff --git a/SurgeData/N=1000/234-peak+year_c.csv b/SurgeData/234-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/234-peak+year_c.csv rename to SurgeData/234-peak+year_c.csv diff --git a/SurgeData/N=1000/234-peak+year_w.csv b/SurgeData/234-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/234-peak+year_w.csv rename to SurgeData/234-peak+year_w.csv diff --git a/SurgeData/N=1000/234-peak_c.csv b/SurgeData/234-peak_c.csv similarity index 100% rename from SurgeData/N=1000/234-peak_c.csv rename to SurgeData/234-peak_c.csv diff --git a/SurgeData/N=1000/234-peak_w.csv b/SurgeData/234-peak_w.csv similarity index 100% rename from SurgeData/N=1000/234-peak_w.csv rename to SurgeData/234-peak_w.csv diff --git a/SurgeData/N=1000/234-surge_c.csv b/SurgeData/234-surge_c.csv similarity index 100% rename from SurgeData/N=1000/234-surge_c.csv rename to SurgeData/234-surge_c.csv diff --git a/SurgeData/N=1000/234-surge_w.csv b/SurgeData/234-surge_w.csv similarity index 100% rename from SurgeData/N=1000/234-surge_w.csv rename to SurgeData/234-surge_w.csv diff --git a/SurgeData/N=1000/234-time_c.csv b/SurgeData/234-time_c.csv similarity index 100% rename from SurgeData/N=1000/234-time_c.csv rename to SurgeData/234-time_c.csv diff --git a/SurgeData/N=1000/234-time_w.csv b/SurgeData/234-time_w.csv similarity index 100% rename from SurgeData/N=1000/234-time_w.csv rename to SurgeData/234-time_w.csv diff --git a/SurgeData/N=1000/234-waterlevel_c.csv b/SurgeData/234-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/234-waterlevel_c.csv rename to SurgeData/234-waterlevel_c.csv diff --git a/SurgeData/N=1000/234-waterlevel_w.csv b/SurgeData/234-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/234-waterlevel_w.csv rename to SurgeData/234-waterlevel_w.csv diff --git a/SurgeData/235-num_storm.csv b/SurgeData/235-num_storm.csv new file mode 100644 index 00000000..2fe0cc71 --- /dev/null +++ b/SurgeData/235-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,0.0 +2022,1.0,7.0 +2023,3.0,3.0 +2024,2.0,4.0 +2025,1.0,4.0 +2026,2.0,12.0 +2027,3.0,5.0 +2028,1.0,4.0 +2029,1.0,5.0 +2030,1.0,4.0 +2031,1.0,6.0 +2032,1.0,3.0 +2033,0.0,3.0 +2034,1.0,4.0 +2035,0.0,3.0 +2036,1.0,3.0 +2037,3.0,5.0 +2038,1.0,3.0 +2039,2.0,5.0 +2040,1.0,2.0 +2041,0.0,2.0 +2042,2.0,1.0 +2043,3.0,5.0 +2044,5.0,3.0 +2045,1.0,2.0 +2046,2.0,3.0 +2047,0.0,4.0 +2048,2.0,1.0 +2049,1.0,10.0 +2050,0.0,1.0 +2051,0.0,9.0 +2052,1.0,5.0 +2053,0.0,2.0 +2054,1.0,3.0 +2055,3.0,2.0 +2056,1.0,5.0 +2057,2.0,5.0 +2058,3.0,4.0 +2059,4.0,4.0 +2060,2.0,6.0 +2061,0.0,4.0 +2062,2.0,5.0 +2063,1.0,5.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,2.0,2.0 +2067,2.0,6.0 +2068,0.0,7.0 +2069,1.0,2.0 +2070,1.0,4.0 +2071,4.0,6.0 +2072,2.0,8.0 +2073,3.0,3.0 +2074,1.0,3.0 +2075,2.0,10.0 +2076,0.0,2.0 +2077,0.0,10.0 +2078,1.0,3.0 +2079,2.0,3.0 +2080,0.0,4.0 +2081,0.0,5.0 +2082,2.0,7.0 +2083,2.0,3.0 +2084,0.0,6.0 +2085,0.0,2.0 +2086,3.0,3.0 +2087,3.0,4.0 +2088,0.0,3.0 +2089,2.0,6.0 +2090,1.0,8.0 +2091,0.0,4.0 +2092,0.0,6.0 +2093,2.0,5.0 +2094,1.0,1.0 +2095,3.0,4.0 +2096,1.0,3.0 +2097,2.0,5.0 +2098,2.0,2.0 +2099,1.0,4.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/235-peak+year_c.csv b/SurgeData/235-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/235-peak+year_c.csv rename to SurgeData/235-peak+year_c.csv diff --git a/SurgeData/N=1000/235-peak+year_w.csv b/SurgeData/235-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/235-peak+year_w.csv rename to SurgeData/235-peak+year_w.csv diff --git a/SurgeData/N=1000/235-peak_c.csv b/SurgeData/235-peak_c.csv similarity index 100% rename from SurgeData/N=1000/235-peak_c.csv rename to SurgeData/235-peak_c.csv diff --git a/SurgeData/N=1000/235-peak_w.csv b/SurgeData/235-peak_w.csv similarity index 100% rename from SurgeData/N=1000/235-peak_w.csv rename to SurgeData/235-peak_w.csv diff --git a/SurgeData/N=1000/235-surge_c.csv b/SurgeData/235-surge_c.csv similarity index 100% rename from SurgeData/N=1000/235-surge_c.csv rename to SurgeData/235-surge_c.csv diff --git a/SurgeData/N=1000/235-surge_w.csv b/SurgeData/235-surge_w.csv similarity index 100% rename from SurgeData/N=1000/235-surge_w.csv rename to SurgeData/235-surge_w.csv diff --git a/SurgeData/N=1000/235-time_c.csv b/SurgeData/235-time_c.csv similarity index 100% rename from SurgeData/N=1000/235-time_c.csv rename to SurgeData/235-time_c.csv diff --git a/SurgeData/N=1000/235-time_w.csv b/SurgeData/235-time_w.csv similarity index 100% rename from SurgeData/N=1000/235-time_w.csv rename to SurgeData/235-time_w.csv diff --git a/SurgeData/N=1000/235-waterlevel_c.csv b/SurgeData/235-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/235-waterlevel_c.csv rename to SurgeData/235-waterlevel_c.csv diff --git a/SurgeData/N=1000/235-waterlevel_w.csv b/SurgeData/235-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/235-waterlevel_w.csv rename to SurgeData/235-waterlevel_w.csv diff --git a/SurgeData/236-num_storm.csv b/SurgeData/236-num_storm.csv new file mode 100644 index 00000000..a99a86b1 --- /dev/null +++ b/SurgeData/236-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,5.0 +2022,4.0,1.0 +2023,4.0,4.0 +2024,2.0,3.0 +2025,0.0,2.0 +2026,0.0,4.0 +2027,1.0,5.0 +2028,2.0,2.0 +2029,0.0,5.0 +2030,3.0,3.0 +2031,1.0,3.0 +2032,2.0,4.0 +2033,3.0,2.0 +2034,4.0,4.0 +2035,1.0,3.0 +2036,1.0,5.0 +2037,2.0,5.0 +2038,1.0,2.0 +2039,1.0,7.0 +2040,0.0,3.0 +2041,4.0,3.0 +2042,2.0,4.0 +2043,2.0,4.0 +2044,1.0,4.0 +2045,3.0,6.0 +2046,3.0,10.0 +2047,1.0,2.0 +2048,2.0,4.0 +2049,2.0,5.0 +2050,3.0,3.0 +2051,1.0,5.0 +2052,2.0,3.0 +2053,1.0,4.0 +2054,2.0,2.0 +2055,1.0,6.0 +2056,1.0,3.0 +2057,2.0,3.0 +2058,1.0,3.0 +2059,2.0,3.0 +2060,3.0,3.0 +2061,2.0,1.0 +2062,1.0,5.0 +2063,1.0,6.0 +2064,1.0,5.0 +2065,2.0,4.0 +2066,1.0,1.0 +2067,3.0,5.0 +2068,1.0,2.0 +2069,0.0,0.0 +2070,3.0,6.0 +2071,1.0,7.0 +2072,1.0,4.0 +2073,3.0,4.0 +2074,1.0,1.0 +2075,3.0,4.0 +2076,5.0,4.0 +2077,2.0,7.0 +2078,2.0,4.0 +2079,3.0,5.0 +2080,0.0,4.0 +2081,1.0,1.0 +2082,2.0,3.0 +2083,2.0,9.0 +2084,1.0,3.0 +2085,2.0,4.0 +2086,2.0,1.0 +2087,3.0,8.0 +2088,0.0,6.0 +2089,0.0,1.0 +2090,3.0,6.0 +2091,3.0,1.0 +2092,1.0,2.0 +2093,3.0,5.0 +2094,1.0,2.0 +2095,1.0,3.0 +2096,1.0,4.0 +2097,2.0,3.0 +2098,2.0,5.0 +2099,1.0,6.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/236-peak+year_c.csv b/SurgeData/236-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/236-peak+year_c.csv rename to SurgeData/236-peak+year_c.csv diff --git a/SurgeData/N=1000/236-peak+year_w.csv b/SurgeData/236-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/236-peak+year_w.csv rename to SurgeData/236-peak+year_w.csv diff --git a/SurgeData/N=1000/236-peak_c.csv b/SurgeData/236-peak_c.csv similarity index 100% rename from SurgeData/N=1000/236-peak_c.csv rename to SurgeData/236-peak_c.csv diff --git a/SurgeData/N=1000/236-peak_w.csv b/SurgeData/236-peak_w.csv similarity index 100% rename from SurgeData/N=1000/236-peak_w.csv rename to SurgeData/236-peak_w.csv diff --git a/SurgeData/N=1000/236-surge_c.csv b/SurgeData/236-surge_c.csv similarity index 100% rename from SurgeData/N=1000/236-surge_c.csv rename to SurgeData/236-surge_c.csv diff --git a/SurgeData/N=1000/236-surge_w.csv b/SurgeData/236-surge_w.csv similarity index 100% rename from SurgeData/N=1000/236-surge_w.csv rename to SurgeData/236-surge_w.csv diff --git a/SurgeData/N=1000/236-time_c.csv b/SurgeData/236-time_c.csv similarity index 100% rename from SurgeData/N=1000/236-time_c.csv rename to SurgeData/236-time_c.csv diff --git a/SurgeData/N=1000/236-time_w.csv b/SurgeData/236-time_w.csv similarity index 100% rename from SurgeData/N=1000/236-time_w.csv rename to SurgeData/236-time_w.csv diff --git a/SurgeData/N=1000/236-waterlevel_c.csv b/SurgeData/236-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/236-waterlevel_c.csv rename to SurgeData/236-waterlevel_c.csv diff --git a/SurgeData/N=1000/236-waterlevel_w.csv b/SurgeData/236-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/236-waterlevel_w.csv rename to SurgeData/236-waterlevel_w.csv diff --git a/SurgeData/237-num_storm.csv b/SurgeData/237-num_storm.csv new file mode 100644 index 00000000..9e638b79 --- /dev/null +++ b/SurgeData/237-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,5.0 +2022,1.0,7.0 +2023,0.0,2.0 +2024,1.0,2.0 +2025,0.0,3.0 +2026,1.0,4.0 +2027,0.0,4.0 +2028,0.0,2.0 +2029,0.0,9.0 +2030,2.0,2.0 +2031,4.0,7.0 +2032,2.0,5.0 +2033,2.0,2.0 +2034,2.0,3.0 +2035,1.0,6.0 +2036,1.0,2.0 +2037,1.0,2.0 +2038,3.0,1.0 +2039,1.0,2.0 +2040,3.0,5.0 +2041,1.0,4.0 +2042,1.0,2.0 +2043,1.0,5.0 +2044,0.0,1.0 +2045,0.0,7.0 +2046,0.0,1.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,2.0,5.0 +2050,3.0,2.0 +2051,0.0,7.0 +2052,3.0,1.0 +2053,0.0,7.0 +2054,4.0,3.0 +2055,0.0,2.0 +2056,1.0,5.0 +2057,0.0,6.0 +2058,2.0,8.0 +2059,2.0,3.0 +2060,1.0,3.0 +2061,3.0,2.0 +2062,1.0,5.0 +2063,0.0,4.0 +2064,0.0,2.0 +2065,5.0,3.0 +2066,3.0,4.0 +2067,2.0,6.0 +2068,1.0,5.0 +2069,2.0,4.0 +2070,1.0,7.0 +2071,2.0,4.0 +2072,1.0,2.0 +2073,1.0,5.0 +2074,2.0,6.0 +2075,4.0,5.0 +2076,1.0,6.0 +2077,1.0,3.0 +2078,1.0,6.0 +2079,4.0,5.0 +2080,1.0,5.0 +2081,1.0,4.0 +2082,3.0,6.0 +2083,1.0,6.0 +2084,4.0,3.0 +2085,1.0,3.0 +2086,0.0,3.0 +2087,0.0,5.0 +2088,2.0,5.0 +2089,2.0,6.0 +2090,3.0,4.0 +2091,2.0,1.0 +2092,1.0,3.0 +2093,1.0,5.0 +2094,0.0,1.0 +2095,1.0,7.0 +2096,0.0,9.0 +2097,1.0,4.0 +2098,0.0,7.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/237-peak+year_c.csv b/SurgeData/237-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/237-peak+year_c.csv rename to SurgeData/237-peak+year_c.csv diff --git a/SurgeData/N=1000/237-peak+year_w.csv b/SurgeData/237-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/237-peak+year_w.csv rename to SurgeData/237-peak+year_w.csv diff --git a/SurgeData/N=1000/237-peak_c.csv b/SurgeData/237-peak_c.csv similarity index 100% rename from SurgeData/N=1000/237-peak_c.csv rename to SurgeData/237-peak_c.csv diff --git a/SurgeData/N=1000/237-peak_w.csv b/SurgeData/237-peak_w.csv similarity index 100% rename from SurgeData/N=1000/237-peak_w.csv rename to SurgeData/237-peak_w.csv diff --git a/SurgeData/N=1000/237-surge_c.csv b/SurgeData/237-surge_c.csv similarity index 100% rename from SurgeData/N=1000/237-surge_c.csv rename to SurgeData/237-surge_c.csv diff --git a/SurgeData/N=1000/237-surge_w.csv b/SurgeData/237-surge_w.csv similarity index 100% rename from SurgeData/N=1000/237-surge_w.csv rename to SurgeData/237-surge_w.csv diff --git a/SurgeData/N=1000/237-time_c.csv b/SurgeData/237-time_c.csv similarity index 100% rename from SurgeData/N=1000/237-time_c.csv rename to SurgeData/237-time_c.csv diff --git a/SurgeData/N=1000/237-time_w.csv b/SurgeData/237-time_w.csv similarity index 100% rename from SurgeData/N=1000/237-time_w.csv rename to SurgeData/237-time_w.csv diff --git a/SurgeData/N=1000/237-waterlevel_c.csv b/SurgeData/237-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/237-waterlevel_c.csv rename to SurgeData/237-waterlevel_c.csv diff --git a/SurgeData/N=1000/237-waterlevel_w.csv b/SurgeData/237-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/237-waterlevel_w.csv rename to SurgeData/237-waterlevel_w.csv diff --git a/SurgeData/238-num_storm.csv b/SurgeData/238-num_storm.csv new file mode 100644 index 00000000..07fa0039 --- /dev/null +++ b/SurgeData/238-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,4.0 +2022,0.0,3.0 +2023,2.0,3.0 +2024,7.0,3.0 +2025,3.0,4.0 +2026,1.0,7.0 +2027,1.0,5.0 +2028,3.0,4.0 +2029,2.0,4.0 +2030,1.0,3.0 +2031,3.0,6.0 +2032,5.0,1.0 +2033,0.0,7.0 +2034,0.0,3.0 +2035,0.0,5.0 +2036,1.0,7.0 +2037,1.0,3.0 +2038,0.0,5.0 +2039,1.0,1.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,1.0,3.0 +2043,2.0,5.0 +2044,1.0,7.0 +2045,0.0,3.0 +2046,2.0,1.0 +2047,0.0,6.0 +2048,3.0,5.0 +2049,1.0,6.0 +2050,0.0,6.0 +2051,3.0,3.0 +2052,1.0,1.0 +2053,2.0,2.0 +2054,2.0,2.0 +2055,2.0,7.0 +2056,1.0,4.0 +2057,2.0,5.0 +2058,1.0,2.0 +2059,1.0,1.0 +2060,0.0,5.0 +2061,0.0,2.0 +2062,0.0,3.0 +2063,4.0,5.0 +2064,3.0,3.0 +2065,1.0,2.0 +2066,0.0,3.0 +2067,1.0,6.0 +2068,1.0,6.0 +2069,1.0,2.0 +2070,0.0,2.0 +2071,1.0,7.0 +2072,1.0,5.0 +2073,0.0,4.0 +2074,2.0,4.0 +2075,2.0,5.0 +2076,0.0,4.0 +2077,3.0,4.0 +2078,0.0,5.0 +2079,2.0,4.0 +2080,5.0,6.0 +2081,2.0,2.0 +2082,0.0,4.0 +2083,0.0,4.0 +2084,3.0,0.0 +2085,0.0,3.0 +2086,1.0,4.0 +2087,0.0,7.0 +2088,4.0,4.0 +2089,2.0,2.0 +2090,3.0,2.0 +2091,4.0,5.0 +2092,1.0,1.0 +2093,1.0,7.0 +2094,1.0,3.0 +2095,3.0,5.0 +2096,2.0,3.0 +2097,0.0,4.0 +2098,3.0,3.0 +2099,1.0,5.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/238-peak+year_c.csv b/SurgeData/238-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/238-peak+year_c.csv rename to SurgeData/238-peak+year_c.csv diff --git a/SurgeData/N=1000/238-peak+year_w.csv b/SurgeData/238-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/238-peak+year_w.csv rename to SurgeData/238-peak+year_w.csv diff --git a/SurgeData/N=1000/238-peak_c.csv b/SurgeData/238-peak_c.csv similarity index 100% rename from SurgeData/N=1000/238-peak_c.csv rename to SurgeData/238-peak_c.csv diff --git a/SurgeData/N=1000/238-peak_w.csv b/SurgeData/238-peak_w.csv similarity index 100% rename from SurgeData/N=1000/238-peak_w.csv rename to SurgeData/238-peak_w.csv diff --git a/SurgeData/N=1000/238-surge_c.csv b/SurgeData/238-surge_c.csv similarity index 100% rename from SurgeData/N=1000/238-surge_c.csv rename to SurgeData/238-surge_c.csv diff --git a/SurgeData/N=1000/238-surge_w.csv b/SurgeData/238-surge_w.csv similarity index 100% rename from SurgeData/N=1000/238-surge_w.csv rename to SurgeData/238-surge_w.csv diff --git a/SurgeData/N=1000/238-time_c.csv b/SurgeData/238-time_c.csv similarity index 100% rename from SurgeData/N=1000/238-time_c.csv rename to SurgeData/238-time_c.csv diff --git a/SurgeData/N=1000/238-time_w.csv b/SurgeData/238-time_w.csv similarity index 100% rename from SurgeData/N=1000/238-time_w.csv rename to SurgeData/238-time_w.csv diff --git a/SurgeData/N=1000/238-waterlevel_c.csv b/SurgeData/238-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/238-waterlevel_c.csv rename to SurgeData/238-waterlevel_c.csv diff --git a/SurgeData/N=1000/238-waterlevel_w.csv b/SurgeData/238-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/238-waterlevel_w.csv rename to SurgeData/238-waterlevel_w.csv diff --git a/SurgeData/239-num_storm.csv b/SurgeData/239-num_storm.csv new file mode 100644 index 00000000..377ed4fa --- /dev/null +++ b/SurgeData/239-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,1.0,3.0 +2022,3.0,3.0 +2023,2.0,1.0 +2024,1.0,1.0 +2025,0.0,2.0 +2026,0.0,2.0 +2027,1.0,1.0 +2028,1.0,3.0 +2029,2.0,5.0 +2030,2.0,3.0 +2031,3.0,3.0 +2032,1.0,5.0 +2033,3.0,5.0 +2034,4.0,3.0 +2035,3.0,4.0 +2036,1.0,2.0 +2037,1.0,5.0 +2038,0.0,5.0 +2039,1.0,4.0 +2040,0.0,1.0 +2041,2.0,4.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,1.0,2.0 +2048,0.0,4.0 +2049,2.0,2.0 +2050,0.0,5.0 +2051,2.0,4.0 +2052,1.0,4.0 +2053,2.0,2.0 +2054,1.0,8.0 +2055,1.0,5.0 +2056,3.0,5.0 +2057,1.0,5.0 +2058,1.0,3.0 +2059,0.0,4.0 +2060,1.0,14.0 +2061,4.0,2.0 +2062,1.0,5.0 +2063,2.0,1.0 +2064,3.0,6.0 +2065,1.0,5.0 +2066,1.0,3.0 +2067,0.0,6.0 +2068,2.0,5.0 +2069,1.0,3.0 +2070,1.0,4.0 +2071,1.0,3.0 +2072,2.0,3.0 +2073,0.0,5.0 +2074,2.0,1.0 +2075,1.0,5.0 +2076,0.0,4.0 +2077,2.0,5.0 +2078,0.0,3.0 +2079,2.0,8.0 +2080,2.0,5.0 +2081,2.0,4.0 +2082,2.0,2.0 +2083,1.0,4.0 +2084,3.0,3.0 +2085,1.0,4.0 +2086,2.0,5.0 +2087,3.0,9.0 +2088,2.0,2.0 +2089,0.0,6.0 +2090,1.0,5.0 +2091,3.0,8.0 +2092,1.0,2.0 +2093,1.0,5.0 +2094,3.0,2.0 +2095,2.0,5.0 +2096,2.0,6.0 +2097,2.0,2.0 +2098,0.0,7.0 +2099,0.0,4.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/239-peak+year_c.csv b/SurgeData/239-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/239-peak+year_c.csv rename to SurgeData/239-peak+year_c.csv diff --git a/SurgeData/N=1000/239-peak+year_w.csv b/SurgeData/239-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/239-peak+year_w.csv rename to SurgeData/239-peak+year_w.csv diff --git a/SurgeData/N=1000/239-peak_c.csv b/SurgeData/239-peak_c.csv similarity index 100% rename from SurgeData/N=1000/239-peak_c.csv rename to SurgeData/239-peak_c.csv diff --git a/SurgeData/N=1000/239-peak_w.csv b/SurgeData/239-peak_w.csv similarity index 100% rename from SurgeData/N=1000/239-peak_w.csv rename to SurgeData/239-peak_w.csv diff --git a/SurgeData/N=1000/239-surge_c.csv b/SurgeData/239-surge_c.csv similarity index 100% rename from SurgeData/N=1000/239-surge_c.csv rename to SurgeData/239-surge_c.csv diff --git a/SurgeData/N=1000/239-surge_w.csv b/SurgeData/239-surge_w.csv similarity index 100% rename from SurgeData/N=1000/239-surge_w.csv rename to SurgeData/239-surge_w.csv diff --git a/SurgeData/N=1000/239-time_c.csv b/SurgeData/239-time_c.csv similarity index 100% rename from SurgeData/N=1000/239-time_c.csv rename to SurgeData/239-time_c.csv diff --git a/SurgeData/N=1000/239-time_w.csv b/SurgeData/239-time_w.csv similarity index 100% rename from SurgeData/N=1000/239-time_w.csv rename to SurgeData/239-time_w.csv diff --git a/SurgeData/N=1000/239-waterlevel_c.csv b/SurgeData/239-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/239-waterlevel_c.csv rename to SurgeData/239-waterlevel_c.csv diff --git a/SurgeData/N=1000/239-waterlevel_w.csv b/SurgeData/239-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/239-waterlevel_w.csv rename to SurgeData/239-waterlevel_w.csv diff --git a/SurgeData/24-num_storm.csv b/SurgeData/24-num_storm.csv new file mode 100644 index 00000000..6375a1ea --- /dev/null +++ b/SurgeData/24-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,2.0 +2022,2.0,7.0 +2023,2.0,7.0 +2024,1.0,5.0 +2025,1.0,5.0 +2026,1.0,6.0 +2027,3.0,8.0 +2028,3.0,3.0 +2029,0.0,5.0 +2030,1.0,5.0 +2031,1.0,4.0 +2032,1.0,7.0 +2033,1.0,3.0 +2034,0.0,4.0 +2035,0.0,3.0 +2036,3.0,5.0 +2037,5.0,2.0 +2038,2.0,4.0 +2039,2.0,7.0 +2040,1.0,3.0 +2041,1.0,2.0 +2042,2.0,7.0 +2043,2.0,2.0 +2044,1.0,7.0 +2045,1.0,7.0 +2046,1.0,5.0 +2047,1.0,0.0 +2048,0.0,7.0 +2049,0.0,3.0 +2050,2.0,7.0 +2051,1.0,2.0 +2052,2.0,5.0 +2053,1.0,5.0 +2054,3.0,5.0 +2055,1.0,4.0 +2056,1.0,3.0 +2057,1.0,1.0 +2058,0.0,4.0 +2059,0.0,1.0 +2060,1.0,4.0 +2061,1.0,6.0 +2062,0.0,1.0 +2063,0.0,8.0 +2064,1.0,5.0 +2065,1.0,6.0 +2066,1.0,2.0 +2067,1.0,3.0 +2068,3.0,5.0 +2069,0.0,1.0 +2070,1.0,4.0 +2071,0.0,5.0 +2072,1.0,5.0 +2073,0.0,8.0 +2074,1.0,2.0 +2075,2.0,8.0 +2076,0.0,3.0 +2077,0.0,8.0 +2078,3.0,3.0 +2079,1.0,3.0 +2080,1.0,5.0 +2081,0.0,3.0 +2082,3.0,2.0 +2083,4.0,3.0 +2084,1.0,4.0 +2085,2.0,5.0 +2086,2.0,4.0 +2087,1.0,2.0 +2088,1.0,1.0 +2089,2.0,4.0 +2090,0.0,2.0 +2091,2.0,8.0 +2092,3.0,3.0 +2093,2.0,6.0 +2094,3.0,7.0 +2095,1.0,11.0 +2096,1.0,3.0 +2097,1.0,1.0 +2098,2.0,9.0 +2099,3.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/24-peak+year_c.csv b/SurgeData/24-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/24-peak+year_c.csv rename to SurgeData/24-peak+year_c.csv diff --git a/SurgeData/N=1000/24-peak+year_w.csv b/SurgeData/24-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/24-peak+year_w.csv rename to SurgeData/24-peak+year_w.csv diff --git a/SurgeData/N=1000/24-peak_c.csv b/SurgeData/24-peak_c.csv similarity index 100% rename from SurgeData/N=1000/24-peak_c.csv rename to SurgeData/24-peak_c.csv diff --git a/SurgeData/N=1000/24-peak_w.csv b/SurgeData/24-peak_w.csv similarity index 100% rename from SurgeData/N=1000/24-peak_w.csv rename to SurgeData/24-peak_w.csv diff --git a/SurgeData/N=1000/24-surge_c.csv b/SurgeData/24-surge_c.csv similarity index 100% rename from SurgeData/N=1000/24-surge_c.csv rename to SurgeData/24-surge_c.csv diff --git a/SurgeData/N=1000/24-surge_w.csv b/SurgeData/24-surge_w.csv similarity index 100% rename from SurgeData/N=1000/24-surge_w.csv rename to SurgeData/24-surge_w.csv diff --git a/SurgeData/N=1000/24-time_c.csv b/SurgeData/24-time_c.csv similarity index 100% rename from SurgeData/N=1000/24-time_c.csv rename to SurgeData/24-time_c.csv diff --git a/SurgeData/N=1000/24-time_w.csv b/SurgeData/24-time_w.csv similarity index 100% rename from SurgeData/N=1000/24-time_w.csv rename to SurgeData/24-time_w.csv diff --git a/SurgeData/N=1000/24-waterlevel_c.csv b/SurgeData/24-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/24-waterlevel_c.csv rename to SurgeData/24-waterlevel_c.csv diff --git a/SurgeData/N=1000/24-waterlevel_w.csv b/SurgeData/24-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/24-waterlevel_w.csv rename to SurgeData/24-waterlevel_w.csv diff --git a/SurgeData/240-num_storm.csv b/SurgeData/240-num_storm.csv new file mode 100644 index 00000000..e71d9c9f --- /dev/null +++ b/SurgeData/240-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,2.0,4.0 +2022,2.0,5.0 +2023,2.0,3.0 +2024,1.0,4.0 +2025,4.0,2.0 +2026,3.0,6.0 +2027,2.0,4.0 +2028,3.0,2.0 +2029,1.0,4.0 +2030,2.0,3.0 +2031,1.0,7.0 +2032,0.0,5.0 +2033,2.0,2.0 +2034,3.0,3.0 +2035,1.0,4.0 +2036,2.0,6.0 +2037,1.0,1.0 +2038,1.0,3.0 +2039,1.0,9.0 +2040,2.0,3.0 +2041,2.0,4.0 +2042,0.0,7.0 +2043,2.0,3.0 +2044,2.0,5.0 +2045,2.0,5.0 +2046,0.0,6.0 +2047,5.0,1.0 +2048,4.0,5.0 +2049,2.0,8.0 +2050,2.0,6.0 +2051,6.0,2.0 +2052,3.0,6.0 +2053,2.0,2.0 +2054,0.0,6.0 +2055,2.0,4.0 +2056,0.0,3.0 +2057,0.0,2.0 +2058,2.0,6.0 +2059,1.0,2.0 +2060,2.0,4.0 +2061,1.0,2.0 +2062,1.0,9.0 +2063,5.0,2.0 +2064,1.0,0.0 +2065,3.0,5.0 +2066,1.0,3.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,0.0,2.0 +2070,3.0,4.0 +2071,0.0,4.0 +2072,3.0,5.0 +2073,1.0,6.0 +2074,1.0,4.0 +2075,1.0,2.0 +2076,1.0,3.0 +2077,1.0,4.0 +2078,0.0,6.0 +2079,0.0,3.0 +2080,5.0,6.0 +2081,2.0,3.0 +2082,0.0,5.0 +2083,1.0,1.0 +2084,1.0,1.0 +2085,3.0,6.0 +2086,0.0,8.0 +2087,1.0,6.0 +2088,2.0,6.0 +2089,3.0,7.0 +2090,5.0,1.0 +2091,1.0,5.0 +2092,1.0,7.0 +2093,1.0,5.0 +2094,3.0,5.0 +2095,2.0,9.0 +2096,0.0,8.0 +2097,0.0,3.0 +2098,2.0,3.0 +2099,2.0,5.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/240-peak+year_c.csv b/SurgeData/240-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/240-peak+year_c.csv rename to SurgeData/240-peak+year_c.csv diff --git a/SurgeData/N=1000/240-peak+year_w.csv b/SurgeData/240-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/240-peak+year_w.csv rename to SurgeData/240-peak+year_w.csv diff --git a/SurgeData/N=1000/240-peak_c.csv b/SurgeData/240-peak_c.csv similarity index 100% rename from SurgeData/N=1000/240-peak_c.csv rename to SurgeData/240-peak_c.csv diff --git a/SurgeData/N=1000/240-peak_w.csv b/SurgeData/240-peak_w.csv similarity index 100% rename from SurgeData/N=1000/240-peak_w.csv rename to SurgeData/240-peak_w.csv diff --git a/SurgeData/N=1000/240-surge_c.csv b/SurgeData/240-surge_c.csv similarity index 100% rename from SurgeData/N=1000/240-surge_c.csv rename to SurgeData/240-surge_c.csv diff --git a/SurgeData/N=1000/240-surge_w.csv b/SurgeData/240-surge_w.csv similarity index 100% rename from SurgeData/N=1000/240-surge_w.csv rename to SurgeData/240-surge_w.csv diff --git a/SurgeData/N=1000/240-time_c.csv b/SurgeData/240-time_c.csv similarity index 100% rename from SurgeData/N=1000/240-time_c.csv rename to SurgeData/240-time_c.csv diff --git a/SurgeData/N=1000/240-time_w.csv b/SurgeData/240-time_w.csv similarity index 100% rename from SurgeData/N=1000/240-time_w.csv rename to SurgeData/240-time_w.csv diff --git a/SurgeData/N=1000/240-waterlevel_c.csv b/SurgeData/240-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/240-waterlevel_c.csv rename to SurgeData/240-waterlevel_c.csv diff --git a/SurgeData/N=1000/240-waterlevel_w.csv b/SurgeData/240-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/240-waterlevel_w.csv rename to SurgeData/240-waterlevel_w.csv diff --git a/SurgeData/241-num_storm.csv b/SurgeData/241-num_storm.csv new file mode 100644 index 00000000..c740de05 --- /dev/null +++ b/SurgeData/241-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,8.0 +2022,3.0,5.0 +2023,0.0,5.0 +2024,1.0,4.0 +2025,0.0,2.0 +2026,1.0,6.0 +2027,0.0,7.0 +2028,1.0,3.0 +2029,0.0,2.0 +2030,0.0,4.0 +2031,3.0,9.0 +2032,1.0,9.0 +2033,2.0,3.0 +2034,1.0,3.0 +2035,0.0,4.0 +2036,3.0,7.0 +2037,2.0,5.0 +2038,3.0,6.0 +2039,1.0,5.0 +2040,2.0,5.0 +2041,2.0,3.0 +2042,4.0,1.0 +2043,1.0,6.0 +2044,2.0,8.0 +2045,0.0,4.0 +2046,3.0,4.0 +2047,4.0,3.0 +2048,1.0,4.0 +2049,0.0,4.0 +2050,0.0,2.0 +2051,0.0,6.0 +2052,1.0,5.0 +2053,3.0,3.0 +2054,1.0,7.0 +2055,1.0,0.0 +2056,1.0,7.0 +2057,0.0,4.0 +2058,1.0,4.0 +2059,2.0,2.0 +2060,1.0,5.0 +2061,2.0,1.0 +2062,3.0,4.0 +2063,3.0,5.0 +2064,1.0,4.0 +2065,0.0,5.0 +2066,2.0,5.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,0.0,3.0 +2070,3.0,3.0 +2071,4.0,6.0 +2072,3.0,3.0 +2073,0.0,4.0 +2074,2.0,3.0 +2075,2.0,4.0 +2076,1.0,4.0 +2077,1.0,5.0 +2078,0.0,2.0 +2079,2.0,5.0 +2080,3.0,4.0 +2081,2.0,9.0 +2082,0.0,3.0 +2083,1.0,2.0 +2084,0.0,3.0 +2085,1.0,2.0 +2086,0.0,7.0 +2087,2.0,1.0 +2088,2.0,3.0 +2089,1.0,3.0 +2090,1.0,3.0 +2091,3.0,1.0 +2092,1.0,4.0 +2093,4.0,8.0 +2094,1.0,3.0 +2095,2.0,8.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,0.0,7.0 +2099,3.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/241-peak+year_c.csv b/SurgeData/241-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/241-peak+year_c.csv rename to SurgeData/241-peak+year_c.csv diff --git a/SurgeData/N=1000/241-peak+year_w.csv b/SurgeData/241-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/241-peak+year_w.csv rename to SurgeData/241-peak+year_w.csv diff --git a/SurgeData/N=1000/241-peak_c.csv b/SurgeData/241-peak_c.csv similarity index 100% rename from SurgeData/N=1000/241-peak_c.csv rename to SurgeData/241-peak_c.csv diff --git a/SurgeData/N=1000/241-peak_w.csv b/SurgeData/241-peak_w.csv similarity index 100% rename from SurgeData/N=1000/241-peak_w.csv rename to SurgeData/241-peak_w.csv diff --git a/SurgeData/N=1000/241-surge_c.csv b/SurgeData/241-surge_c.csv similarity index 100% rename from SurgeData/N=1000/241-surge_c.csv rename to SurgeData/241-surge_c.csv diff --git a/SurgeData/N=1000/241-surge_w.csv b/SurgeData/241-surge_w.csv similarity index 100% rename from SurgeData/N=1000/241-surge_w.csv rename to SurgeData/241-surge_w.csv diff --git a/SurgeData/N=1000/241-time_c.csv b/SurgeData/241-time_c.csv similarity index 100% rename from SurgeData/N=1000/241-time_c.csv rename to SurgeData/241-time_c.csv diff --git a/SurgeData/N=1000/241-time_w.csv b/SurgeData/241-time_w.csv similarity index 100% rename from SurgeData/N=1000/241-time_w.csv rename to SurgeData/241-time_w.csv diff --git a/SurgeData/N=1000/241-waterlevel_c.csv b/SurgeData/241-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/241-waterlevel_c.csv rename to SurgeData/241-waterlevel_c.csv diff --git a/SurgeData/N=1000/241-waterlevel_w.csv b/SurgeData/241-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/241-waterlevel_w.csv rename to SurgeData/241-waterlevel_w.csv diff --git a/SurgeData/242-num_storm.csv b/SurgeData/242-num_storm.csv new file mode 100644 index 00000000..10ffd6e9 --- /dev/null +++ b/SurgeData/242-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,4.0 +2022,2.0,1.0 +2023,1.0,6.0 +2024,2.0,6.0 +2025,2.0,3.0 +2026,1.0,2.0 +2027,2.0,6.0 +2028,0.0,3.0 +2029,0.0,7.0 +2030,3.0,5.0 +2031,3.0,4.0 +2032,0.0,2.0 +2033,1.0,3.0 +2034,3.0,3.0 +2035,3.0,5.0 +2036,1.0,3.0 +2037,3.0,3.0 +2038,1.0,2.0 +2039,0.0,4.0 +2040,1.0,6.0 +2041,2.0,4.0 +2042,1.0,3.0 +2043,3.0,5.0 +2044,1.0,3.0 +2045,0.0,7.0 +2046,1.0,2.0 +2047,0.0,2.0 +2048,2.0,4.0 +2049,3.0,4.0 +2050,4.0,4.0 +2051,4.0,3.0 +2052,1.0,6.0 +2053,1.0,5.0 +2054,0.0,7.0 +2055,1.0,5.0 +2056,4.0,2.0 +2057,2.0,5.0 +2058,1.0,5.0 +2059,1.0,7.0 +2060,3.0,3.0 +2061,2.0,3.0 +2062,2.0,8.0 +2063,1.0,4.0 +2064,2.0,4.0 +2065,2.0,3.0 +2066,4.0,4.0 +2067,4.0,6.0 +2068,1.0,4.0 +2069,1.0,6.0 +2070,3.0,2.0 +2071,2.0,8.0 +2072,2.0,2.0 +2073,0.0,6.0 +2074,1.0,6.0 +2075,1.0,7.0 +2076,2.0,5.0 +2077,0.0,3.0 +2078,3.0,9.0 +2079,2.0,5.0 +2080,1.0,8.0 +2081,3.0,7.0 +2082,3.0,4.0 +2083,0.0,5.0 +2084,0.0,5.0 +2085,1.0,7.0 +2086,4.0,4.0 +2087,0.0,5.0 +2088,2.0,8.0 +2089,1.0,2.0 +2090,4.0,0.0 +2091,0.0,3.0 +2092,2.0,5.0 +2093,1.0,3.0 +2094,3.0,3.0 +2095,2.0,6.0 +2096,2.0,4.0 +2097,0.0,5.0 +2098,4.0,3.0 +2099,2.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/242-peak+year_c.csv b/SurgeData/242-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/242-peak+year_c.csv rename to SurgeData/242-peak+year_c.csv diff --git a/SurgeData/N=1000/242-peak+year_w.csv b/SurgeData/242-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/242-peak+year_w.csv rename to SurgeData/242-peak+year_w.csv diff --git a/SurgeData/N=1000/242-peak_c.csv b/SurgeData/242-peak_c.csv similarity index 100% rename from SurgeData/N=1000/242-peak_c.csv rename to SurgeData/242-peak_c.csv diff --git a/SurgeData/N=1000/242-peak_w.csv b/SurgeData/242-peak_w.csv similarity index 100% rename from SurgeData/N=1000/242-peak_w.csv rename to SurgeData/242-peak_w.csv diff --git a/SurgeData/N=1000/242-surge_c.csv b/SurgeData/242-surge_c.csv similarity index 100% rename from SurgeData/N=1000/242-surge_c.csv rename to SurgeData/242-surge_c.csv diff --git a/SurgeData/N=1000/242-surge_w.csv b/SurgeData/242-surge_w.csv similarity index 100% rename from SurgeData/N=1000/242-surge_w.csv rename to SurgeData/242-surge_w.csv diff --git a/SurgeData/N=1000/242-time_c.csv b/SurgeData/242-time_c.csv similarity index 100% rename from SurgeData/N=1000/242-time_c.csv rename to SurgeData/242-time_c.csv diff --git a/SurgeData/N=1000/242-time_w.csv b/SurgeData/242-time_w.csv similarity index 100% rename from SurgeData/N=1000/242-time_w.csv rename to SurgeData/242-time_w.csv diff --git a/SurgeData/N=1000/242-waterlevel_c.csv b/SurgeData/242-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/242-waterlevel_c.csv rename to SurgeData/242-waterlevel_c.csv diff --git a/SurgeData/N=1000/242-waterlevel_w.csv b/SurgeData/242-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/242-waterlevel_w.csv rename to SurgeData/242-waterlevel_w.csv diff --git a/SurgeData/243-num_storm.csv b/SurgeData/243-num_storm.csv new file mode 100644 index 00000000..f663dbc3 --- /dev/null +++ b/SurgeData/243-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,3.0 +2022,2.0,3.0 +2023,3.0,1.0 +2024,2.0,8.0 +2025,0.0,4.0 +2026,1.0,4.0 +2027,1.0,7.0 +2028,1.0,4.0 +2029,1.0,1.0 +2030,2.0,3.0 +2031,1.0,2.0 +2032,1.0,2.0 +2033,2.0,9.0 +2034,2.0,6.0 +2035,4.0,5.0 +2036,4.0,3.0 +2037,1.0,10.0 +2038,0.0,2.0 +2039,3.0,9.0 +2040,6.0,5.0 +2041,0.0,1.0 +2042,1.0,2.0 +2043,3.0,8.0 +2044,1.0,9.0 +2045,3.0,2.0 +2046,3.0,2.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,0.0,4.0 +2050,1.0,6.0 +2051,3.0,4.0 +2052,0.0,4.0 +2053,2.0,4.0 +2054,1.0,6.0 +2055,1.0,2.0 +2056,2.0,4.0 +2057,0.0,7.0 +2058,0.0,5.0 +2059,1.0,2.0 +2060,0.0,2.0 +2061,0.0,3.0 +2062,3.0,8.0 +2063,2.0,6.0 +2064,1.0,3.0 +2065,1.0,3.0 +2066,2.0,3.0 +2067,0.0,4.0 +2068,2.0,1.0 +2069,3.0,2.0 +2070,3.0,5.0 +2071,0.0,1.0 +2072,3.0,3.0 +2073,1.0,6.0 +2074,0.0,1.0 +2075,1.0,3.0 +2076,1.0,5.0 +2077,0.0,8.0 +2078,2.0,4.0 +2079,1.0,2.0 +2080,0.0,3.0 +2081,1.0,5.0 +2082,1.0,3.0 +2083,1.0,7.0 +2084,1.0,8.0 +2085,1.0,1.0 +2086,4.0,4.0 +2087,1.0,6.0 +2088,2.0,2.0 +2089,0.0,4.0 +2090,1.0,9.0 +2091,4.0,7.0 +2092,1.0,3.0 +2093,0.0,4.0 +2094,1.0,3.0 +2095,0.0,2.0 +2096,5.0,2.0 +2097,2.0,1.0 +2098,2.0,4.0 +2099,1.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/243-peak+year_c.csv b/SurgeData/243-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/243-peak+year_c.csv rename to SurgeData/243-peak+year_c.csv diff --git a/SurgeData/N=1000/243-peak+year_w.csv b/SurgeData/243-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/243-peak+year_w.csv rename to SurgeData/243-peak+year_w.csv diff --git a/SurgeData/N=1000/243-peak_c.csv b/SurgeData/243-peak_c.csv similarity index 100% rename from SurgeData/N=1000/243-peak_c.csv rename to SurgeData/243-peak_c.csv diff --git a/SurgeData/N=1000/243-peak_w.csv b/SurgeData/243-peak_w.csv similarity index 100% rename from SurgeData/N=1000/243-peak_w.csv rename to SurgeData/243-peak_w.csv diff --git a/SurgeData/N=1000/243-surge_c.csv b/SurgeData/243-surge_c.csv similarity index 100% rename from SurgeData/N=1000/243-surge_c.csv rename to SurgeData/243-surge_c.csv diff --git a/SurgeData/N=1000/243-surge_w.csv b/SurgeData/243-surge_w.csv similarity index 100% rename from SurgeData/N=1000/243-surge_w.csv rename to SurgeData/243-surge_w.csv diff --git a/SurgeData/N=1000/243-time_c.csv b/SurgeData/243-time_c.csv similarity index 100% rename from SurgeData/N=1000/243-time_c.csv rename to SurgeData/243-time_c.csv diff --git a/SurgeData/N=1000/243-time_w.csv b/SurgeData/243-time_w.csv similarity index 100% rename from SurgeData/N=1000/243-time_w.csv rename to SurgeData/243-time_w.csv diff --git a/SurgeData/N=1000/243-waterlevel_c.csv b/SurgeData/243-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/243-waterlevel_c.csv rename to SurgeData/243-waterlevel_c.csv diff --git a/SurgeData/N=1000/243-waterlevel_w.csv b/SurgeData/243-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/243-waterlevel_w.csv rename to SurgeData/243-waterlevel_w.csv diff --git a/SurgeData/244-num_storm.csv b/SurgeData/244-num_storm.csv new file mode 100644 index 00000000..9fc9bbbe --- /dev/null +++ b/SurgeData/244-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,5.0 +2022,0.0,3.0 +2023,2.0,5.0 +2024,1.0,5.0 +2025,3.0,7.0 +2026,1.0,6.0 +2027,0.0,6.0 +2028,1.0,6.0 +2029,1.0,3.0 +2030,4.0,3.0 +2031,2.0,1.0 +2032,1.0,5.0 +2033,3.0,7.0 +2034,1.0,3.0 +2035,2.0,5.0 +2036,2.0,2.0 +2037,0.0,3.0 +2038,2.0,4.0 +2039,0.0,3.0 +2040,3.0,3.0 +2041,3.0,2.0 +2042,2.0,8.0 +2043,0.0,4.0 +2044,0.0,6.0 +2045,3.0,7.0 +2046,1.0,3.0 +2047,1.0,3.0 +2048,0.0,4.0 +2049,3.0,3.0 +2050,1.0,7.0 +2051,0.0,4.0 +2052,0.0,6.0 +2053,1.0,4.0 +2054,4.0,1.0 +2055,3.0,0.0 +2056,2.0,3.0 +2057,3.0,7.0 +2058,4.0,5.0 +2059,1.0,3.0 +2060,0.0,3.0 +2061,0.0,0.0 +2062,2.0,6.0 +2063,1.0,2.0 +2064,1.0,4.0 +2065,1.0,5.0 +2066,2.0,8.0 +2067,2.0,4.0 +2068,1.0,5.0 +2069,1.0,5.0 +2070,0.0,7.0 +2071,1.0,3.0 +2072,4.0,2.0 +2073,1.0,5.0 +2074,4.0,4.0 +2075,3.0,2.0 +2076,4.0,6.0 +2077,1.0,6.0 +2078,2.0,5.0 +2079,2.0,5.0 +2080,0.0,5.0 +2081,1.0,3.0 +2082,1.0,5.0 +2083,3.0,2.0 +2084,3.0,8.0 +2085,1.0,4.0 +2086,1.0,7.0 +2087,1.0,3.0 +2088,2.0,5.0 +2089,3.0,4.0 +2090,1.0,1.0 +2091,2.0,6.0 +2092,1.0,5.0 +2093,1.0,4.0 +2094,1.0,4.0 +2095,2.0,6.0 +2096,1.0,3.0 +2097,1.0,3.0 +2098,3.0,3.0 +2099,0.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/244-peak+year_c.csv b/SurgeData/244-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/244-peak+year_c.csv rename to SurgeData/244-peak+year_c.csv diff --git a/SurgeData/N=1000/244-peak+year_w.csv b/SurgeData/244-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/244-peak+year_w.csv rename to SurgeData/244-peak+year_w.csv diff --git a/SurgeData/N=1000/244-peak_c.csv b/SurgeData/244-peak_c.csv similarity index 100% rename from SurgeData/N=1000/244-peak_c.csv rename to SurgeData/244-peak_c.csv diff --git a/SurgeData/N=1000/244-peak_w.csv b/SurgeData/244-peak_w.csv similarity index 100% rename from SurgeData/N=1000/244-peak_w.csv rename to SurgeData/244-peak_w.csv diff --git a/SurgeData/N=1000/244-surge_c.csv b/SurgeData/244-surge_c.csv similarity index 100% rename from SurgeData/N=1000/244-surge_c.csv rename to SurgeData/244-surge_c.csv diff --git a/SurgeData/N=1000/244-surge_w.csv b/SurgeData/244-surge_w.csv similarity index 100% rename from SurgeData/N=1000/244-surge_w.csv rename to SurgeData/244-surge_w.csv diff --git a/SurgeData/N=1000/244-time_c.csv b/SurgeData/244-time_c.csv similarity index 100% rename from SurgeData/N=1000/244-time_c.csv rename to SurgeData/244-time_c.csv diff --git a/SurgeData/N=1000/244-time_w.csv b/SurgeData/244-time_w.csv similarity index 100% rename from SurgeData/N=1000/244-time_w.csv rename to SurgeData/244-time_w.csv diff --git a/SurgeData/N=1000/244-waterlevel_c.csv b/SurgeData/244-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/244-waterlevel_c.csv rename to SurgeData/244-waterlevel_c.csv diff --git a/SurgeData/N=1000/244-waterlevel_w.csv b/SurgeData/244-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/244-waterlevel_w.csv rename to SurgeData/244-waterlevel_w.csv diff --git a/SurgeData/N=1000/245-peak+year_c.csv b/SurgeData/245-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/245-peak+year_c.csv rename to SurgeData/245-peak+year_c.csv diff --git a/SurgeData/N=1000/245-peak+year_w.csv b/SurgeData/245-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/245-peak+year_w.csv rename to SurgeData/245-peak+year_w.csv diff --git a/SurgeData/N=1000/245-peak_c.csv b/SurgeData/245-peak_c.csv similarity index 100% rename from SurgeData/N=1000/245-peak_c.csv rename to SurgeData/245-peak_c.csv diff --git a/SurgeData/N=1000/245-peak_w.csv b/SurgeData/245-peak_w.csv similarity index 100% rename from SurgeData/N=1000/245-peak_w.csv rename to SurgeData/245-peak_w.csv diff --git a/SurgeData/N=1000/245-surge_c.csv b/SurgeData/245-surge_c.csv similarity index 100% rename from SurgeData/N=1000/245-surge_c.csv rename to SurgeData/245-surge_c.csv diff --git a/SurgeData/N=1000/245-surge_w.csv b/SurgeData/245-surge_w.csv similarity index 100% rename from SurgeData/N=1000/245-surge_w.csv rename to SurgeData/245-surge_w.csv diff --git a/SurgeData/N=1000/245-time_c.csv b/SurgeData/245-time_c.csv similarity index 100% rename from SurgeData/N=1000/245-time_c.csv rename to SurgeData/245-time_c.csv diff --git a/SurgeData/N=1000/245-time_w.csv b/SurgeData/245-time_w.csv similarity index 100% rename from SurgeData/N=1000/245-time_w.csv rename to SurgeData/245-time_w.csv diff --git a/SurgeData/N=1000/245-waterlevel_c.csv b/SurgeData/245-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/245-waterlevel_c.csv rename to SurgeData/245-waterlevel_c.csv diff --git a/SurgeData/N=1000/245-waterlevel_w.csv b/SurgeData/245-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/245-waterlevel_w.csv rename to SurgeData/245-waterlevel_w.csv diff --git a/SurgeData/246-num_storm.csv b/SurgeData/246-num_storm.csv new file mode 100644 index 00000000..a5464e62 --- /dev/null +++ b/SurgeData/246-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,5.0 +2022,1.0,3.0 +2023,0.0,4.0 +2024,2.0,2.0 +2025,0.0,4.0 +2026,0.0,4.0 +2027,1.0,5.0 +2028,2.0,1.0 +2029,1.0,1.0 +2030,6.0,2.0 +2031,0.0,1.0 +2032,2.0,3.0 +2033,2.0,2.0 +2034,0.0,5.0 +2035,3.0,2.0 +2036,1.0,3.0 +2037,1.0,3.0 +2038,1.0,7.0 +2039,0.0,4.0 +2040,0.0,6.0 +2041,2.0,5.0 +2042,1.0,4.0 +2043,1.0,9.0 +2044,1.0,3.0 +2045,0.0,2.0 +2046,3.0,1.0 +2047,1.0,4.0 +2048,0.0,3.0 +2049,0.0,3.0 +2050,3.0,2.0 +2051,4.0,6.0 +2052,2.0,7.0 +2053,2.0,3.0 +2054,2.0,4.0 +2055,2.0,2.0 +2056,4.0,2.0 +2057,0.0,6.0 +2058,3.0,6.0 +2059,3.0,2.0 +2060,1.0,4.0 +2061,2.0,7.0 +2062,2.0,5.0 +2063,2.0,8.0 +2064,3.0,6.0 +2065,2.0,2.0 +2066,2.0,3.0 +2067,3.0,2.0 +2068,0.0,3.0 +2069,1.0,1.0 +2070,0.0,3.0 +2071,2.0,2.0 +2072,1.0,4.0 +2073,2.0,4.0 +2074,0.0,2.0 +2075,1.0,3.0 +2076,2.0,3.0 +2077,1.0,4.0 +2078,1.0,5.0 +2079,2.0,2.0 +2080,3.0,6.0 +2081,0.0,9.0 +2082,0.0,4.0 +2083,1.0,5.0 +2084,0.0,2.0 +2085,0.0,4.0 +2086,0.0,3.0 +2087,2.0,3.0 +2088,0.0,2.0 +2089,3.0,5.0 +2090,0.0,5.0 +2091,4.0,0.0 +2092,0.0,7.0 +2093,2.0,5.0 +2094,0.0,0.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,5.0,5.0 +2098,1.0,6.0 +2099,1.0,5.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/246-peak+year_c.csv b/SurgeData/246-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/246-peak+year_c.csv rename to SurgeData/246-peak+year_c.csv diff --git a/SurgeData/N=1000/246-peak+year_w.csv b/SurgeData/246-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/246-peak+year_w.csv rename to SurgeData/246-peak+year_w.csv diff --git a/SurgeData/N=1000/246-peak_c.csv b/SurgeData/246-peak_c.csv similarity index 100% rename from SurgeData/N=1000/246-peak_c.csv rename to SurgeData/246-peak_c.csv diff --git a/SurgeData/N=1000/246-peak_w.csv b/SurgeData/246-peak_w.csv similarity index 100% rename from SurgeData/N=1000/246-peak_w.csv rename to SurgeData/246-peak_w.csv diff --git a/SurgeData/N=1000/246-surge_c.csv b/SurgeData/246-surge_c.csv similarity index 100% rename from SurgeData/N=1000/246-surge_c.csv rename to SurgeData/246-surge_c.csv diff --git a/SurgeData/N=1000/246-surge_w.csv b/SurgeData/246-surge_w.csv similarity index 100% rename from SurgeData/N=1000/246-surge_w.csv rename to SurgeData/246-surge_w.csv diff --git a/SurgeData/N=1000/246-time_c.csv b/SurgeData/246-time_c.csv similarity index 100% rename from SurgeData/N=1000/246-time_c.csv rename to SurgeData/246-time_c.csv diff --git a/SurgeData/N=1000/246-time_w.csv b/SurgeData/246-time_w.csv similarity index 100% rename from SurgeData/N=1000/246-time_w.csv rename to SurgeData/246-time_w.csv diff --git a/SurgeData/N=1000/246-waterlevel_c.csv b/SurgeData/246-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/246-waterlevel_c.csv rename to SurgeData/246-waterlevel_c.csv diff --git a/SurgeData/N=1000/246-waterlevel_w.csv b/SurgeData/246-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/246-waterlevel_w.csv rename to SurgeData/246-waterlevel_w.csv diff --git a/SurgeData/247-num_storm.csv b/SurgeData/247-num_storm.csv new file mode 100644 index 00000000..e0f2e125 --- /dev/null +++ b/SurgeData/247-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,2.0 +2021,1.0,6.0 +2022,2.0,4.0 +2023,3.0,3.0 +2024,2.0,4.0 +2025,1.0,4.0 +2026,1.0,1.0 +2027,0.0,3.0 +2028,0.0,4.0 +2029,2.0,3.0 +2030,0.0,6.0 +2031,2.0,2.0 +2032,2.0,6.0 +2033,1.0,4.0 +2034,2.0,2.0 +2035,1.0,8.0 +2036,1.0,5.0 +2037,1.0,3.0 +2038,0.0,4.0 +2039,0.0,8.0 +2040,0.0,3.0 +2041,3.0,1.0 +2042,2.0,8.0 +2043,1.0,5.0 +2044,0.0,5.0 +2045,6.0,4.0 +2046,3.0,3.0 +2047,1.0,7.0 +2048,1.0,4.0 +2049,0.0,6.0 +2050,0.0,3.0 +2051,1.0,2.0 +2052,2.0,7.0 +2053,3.0,4.0 +2054,1.0,1.0 +2055,2.0,3.0 +2056,2.0,2.0 +2057,1.0,4.0 +2058,1.0,3.0 +2059,3.0,4.0 +2060,2.0,2.0 +2061,4.0,3.0 +2062,1.0,2.0 +2063,2.0,4.0 +2064,4.0,7.0 +2065,3.0,4.0 +2066,2.0,7.0 +2067,2.0,0.0 +2068,0.0,2.0 +2069,0.0,4.0 +2070,2.0,1.0 +2071,3.0,5.0 +2072,2.0,3.0 +2073,2.0,2.0 +2074,3.0,3.0 +2075,0.0,7.0 +2076,0.0,5.0 +2077,2.0,9.0 +2078,0.0,2.0 +2079,3.0,5.0 +2080,2.0,3.0 +2081,1.0,6.0 +2082,2.0,4.0 +2083,0.0,5.0 +2084,1.0,3.0 +2085,1.0,0.0 +2086,0.0,2.0 +2087,1.0,4.0 +2088,0.0,2.0 +2089,2.0,4.0 +2090,1.0,4.0 +2091,1.0,3.0 +2092,3.0,5.0 +2093,1.0,4.0 +2094,1.0,2.0 +2095,1.0,6.0 +2096,3.0,4.0 +2097,4.0,5.0 +2098,1.0,3.0 +2099,2.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/247-peak+year_c.csv b/SurgeData/247-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/247-peak+year_c.csv rename to SurgeData/247-peak+year_c.csv diff --git a/SurgeData/N=1000/247-peak+year_w.csv b/SurgeData/247-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/247-peak+year_w.csv rename to SurgeData/247-peak+year_w.csv diff --git a/SurgeData/N=1000/247-peak_c.csv b/SurgeData/247-peak_c.csv similarity index 100% rename from SurgeData/N=1000/247-peak_c.csv rename to SurgeData/247-peak_c.csv diff --git a/SurgeData/N=1000/247-peak_w.csv b/SurgeData/247-peak_w.csv similarity index 100% rename from SurgeData/N=1000/247-peak_w.csv rename to SurgeData/247-peak_w.csv diff --git a/SurgeData/N=1000/247-surge_c.csv b/SurgeData/247-surge_c.csv similarity index 100% rename from SurgeData/N=1000/247-surge_c.csv rename to SurgeData/247-surge_c.csv diff --git a/SurgeData/N=1000/247-surge_w.csv b/SurgeData/247-surge_w.csv similarity index 100% rename from SurgeData/N=1000/247-surge_w.csv rename to SurgeData/247-surge_w.csv diff --git a/SurgeData/N=1000/247-time_c.csv b/SurgeData/247-time_c.csv similarity index 100% rename from SurgeData/N=1000/247-time_c.csv rename to SurgeData/247-time_c.csv diff --git a/SurgeData/N=1000/247-time_w.csv b/SurgeData/247-time_w.csv similarity index 100% rename from SurgeData/N=1000/247-time_w.csv rename to SurgeData/247-time_w.csv diff --git a/SurgeData/N=1000/247-waterlevel_c.csv b/SurgeData/247-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/247-waterlevel_c.csv rename to SurgeData/247-waterlevel_c.csv diff --git a/SurgeData/N=1000/247-waterlevel_w.csv b/SurgeData/247-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/247-waterlevel_w.csv rename to SurgeData/247-waterlevel_w.csv diff --git a/SurgeData/248-num_storm.csv b/SurgeData/248-num_storm.csv new file mode 100644 index 00000000..7c36f617 --- /dev/null +++ b/SurgeData/248-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,5.0 +2022,2.0,1.0 +2023,1.0,1.0 +2024,1.0,5.0 +2025,0.0,2.0 +2026,1.0,1.0 +2027,5.0,4.0 +2028,1.0,4.0 +2029,4.0,5.0 +2030,1.0,4.0 +2031,1.0,7.0 +2032,6.0,9.0 +2033,2.0,8.0 +2034,1.0,7.0 +2035,2.0,3.0 +2036,0.0,4.0 +2037,2.0,6.0 +2038,0.0,3.0 +2039,0.0,8.0 +2040,2.0,4.0 +2041,3.0,2.0 +2042,4.0,2.0 +2043,1.0,4.0 +2044,1.0,4.0 +2045,1.0,5.0 +2046,0.0,3.0 +2047,2.0,7.0 +2048,1.0,4.0 +2049,1.0,4.0 +2050,1.0,5.0 +2051,1.0,3.0 +2052,0.0,3.0 +2053,2.0,3.0 +2054,2.0,3.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,2.0,4.0 +2058,1.0,4.0 +2059,3.0,5.0 +2060,0.0,4.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,1.0,3.0 +2065,1.0,7.0 +2066,6.0,5.0 +2067,2.0,5.0 +2068,0.0,2.0 +2069,0.0,2.0 +2070,2.0,0.0 +2071,0.0,6.0 +2072,1.0,6.0 +2073,1.0,3.0 +2074,1.0,3.0 +2075,1.0,2.0 +2076,2.0,4.0 +2077,1.0,6.0 +2078,5.0,2.0 +2079,2.0,6.0 +2080,5.0,4.0 +2081,2.0,3.0 +2082,1.0,1.0 +2083,2.0,3.0 +2084,0.0,4.0 +2085,2.0,6.0 +2086,2.0,3.0 +2087,1.0,4.0 +2088,1.0,5.0 +2089,0.0,7.0 +2090,4.0,4.0 +2091,2.0,1.0 +2092,2.0,3.0 +2093,4.0,2.0 +2094,0.0,4.0 +2095,1.0,2.0 +2096,2.0,2.0 +2097,4.0,2.0 +2098,3.0,5.0 +2099,3.0,5.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/248-peak+year_c.csv b/SurgeData/248-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/248-peak+year_c.csv rename to SurgeData/248-peak+year_c.csv diff --git a/SurgeData/N=1000/248-peak+year_w.csv b/SurgeData/248-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/248-peak+year_w.csv rename to SurgeData/248-peak+year_w.csv diff --git a/SurgeData/N=1000/248-peak_c.csv b/SurgeData/248-peak_c.csv similarity index 100% rename from SurgeData/N=1000/248-peak_c.csv rename to SurgeData/248-peak_c.csv diff --git a/SurgeData/N=1000/248-peak_w.csv b/SurgeData/248-peak_w.csv similarity index 100% rename from SurgeData/N=1000/248-peak_w.csv rename to SurgeData/248-peak_w.csv diff --git a/SurgeData/N=1000/248-surge_c.csv b/SurgeData/248-surge_c.csv similarity index 100% rename from SurgeData/N=1000/248-surge_c.csv rename to SurgeData/248-surge_c.csv diff --git a/SurgeData/N=1000/248-surge_w.csv b/SurgeData/248-surge_w.csv similarity index 100% rename from SurgeData/N=1000/248-surge_w.csv rename to SurgeData/248-surge_w.csv diff --git a/SurgeData/N=1000/248-time_c.csv b/SurgeData/248-time_c.csv similarity index 100% rename from SurgeData/N=1000/248-time_c.csv rename to SurgeData/248-time_c.csv diff --git a/SurgeData/N=1000/248-time_w.csv b/SurgeData/248-time_w.csv similarity index 100% rename from SurgeData/N=1000/248-time_w.csv rename to SurgeData/248-time_w.csv diff --git a/SurgeData/N=1000/248-waterlevel_c.csv b/SurgeData/248-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/248-waterlevel_c.csv rename to SurgeData/248-waterlevel_c.csv diff --git a/SurgeData/N=1000/248-waterlevel_w.csv b/SurgeData/248-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/248-waterlevel_w.csv rename to SurgeData/248-waterlevel_w.csv diff --git a/SurgeData/N=1000/249-peak+year_c.csv b/SurgeData/249-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/249-peak+year_c.csv rename to SurgeData/249-peak+year_c.csv diff --git a/SurgeData/N=1000/249-peak+year_w.csv b/SurgeData/249-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/249-peak+year_w.csv rename to SurgeData/249-peak+year_w.csv diff --git a/SurgeData/N=1000/249-peak_c.csv b/SurgeData/249-peak_c.csv similarity index 100% rename from SurgeData/N=1000/249-peak_c.csv rename to SurgeData/249-peak_c.csv diff --git a/SurgeData/N=1000/249-peak_w.csv b/SurgeData/249-peak_w.csv similarity index 100% rename from SurgeData/N=1000/249-peak_w.csv rename to SurgeData/249-peak_w.csv diff --git a/SurgeData/N=1000/249-surge_c.csv b/SurgeData/249-surge_c.csv similarity index 100% rename from SurgeData/N=1000/249-surge_c.csv rename to SurgeData/249-surge_c.csv diff --git a/SurgeData/N=1000/249-surge_w.csv b/SurgeData/249-surge_w.csv similarity index 100% rename from SurgeData/N=1000/249-surge_w.csv rename to SurgeData/249-surge_w.csv diff --git a/SurgeData/N=1000/249-time_c.csv b/SurgeData/249-time_c.csv similarity index 100% rename from SurgeData/N=1000/249-time_c.csv rename to SurgeData/249-time_c.csv diff --git a/SurgeData/N=1000/249-time_w.csv b/SurgeData/249-time_w.csv similarity index 100% rename from SurgeData/N=1000/249-time_w.csv rename to SurgeData/249-time_w.csv diff --git a/SurgeData/N=1000/249-waterlevel_c.csv b/SurgeData/249-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/249-waterlevel_c.csv rename to SurgeData/249-waterlevel_c.csv diff --git a/SurgeData/N=1000/249-waterlevel_w.csv b/SurgeData/249-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/249-waterlevel_w.csv rename to SurgeData/249-waterlevel_w.csv diff --git a/SurgeData/N=1000/25-peak+year_c.csv b/SurgeData/25-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/25-peak+year_c.csv rename to SurgeData/25-peak+year_c.csv diff --git a/SurgeData/N=1000/25-peak+year_w.csv b/SurgeData/25-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/25-peak+year_w.csv rename to SurgeData/25-peak+year_w.csv diff --git a/SurgeData/N=1000/25-peak_c.csv b/SurgeData/25-peak_c.csv similarity index 100% rename from SurgeData/N=1000/25-peak_c.csv rename to SurgeData/25-peak_c.csv diff --git a/SurgeData/N=1000/25-peak_w.csv b/SurgeData/25-peak_w.csv similarity index 100% rename from SurgeData/N=1000/25-peak_w.csv rename to SurgeData/25-peak_w.csv diff --git a/SurgeData/N=1000/25-surge_c.csv b/SurgeData/25-surge_c.csv similarity index 100% rename from SurgeData/N=1000/25-surge_c.csv rename to SurgeData/25-surge_c.csv diff --git a/SurgeData/N=1000/25-surge_w.csv b/SurgeData/25-surge_w.csv similarity index 100% rename from SurgeData/N=1000/25-surge_w.csv rename to SurgeData/25-surge_w.csv diff --git a/SurgeData/N=1000/25-time_c.csv b/SurgeData/25-time_c.csv similarity index 100% rename from SurgeData/N=1000/25-time_c.csv rename to SurgeData/25-time_c.csv diff --git a/SurgeData/N=1000/25-time_w.csv b/SurgeData/25-time_w.csv similarity index 100% rename from SurgeData/N=1000/25-time_w.csv rename to SurgeData/25-time_w.csv diff --git a/SurgeData/N=1000/25-waterlevel_c.csv b/SurgeData/25-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/25-waterlevel_c.csv rename to SurgeData/25-waterlevel_c.csv diff --git a/SurgeData/N=1000/25-waterlevel_w.csv b/SurgeData/25-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/25-waterlevel_w.csv rename to SurgeData/25-waterlevel_w.csv diff --git a/SurgeData/250-num_storm.csv b/SurgeData/250-num_storm.csv new file mode 100644 index 00000000..065cbc6a --- /dev/null +++ b/SurgeData/250-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,5.0 +2022,1.0,4.0 +2023,3.0,6.0 +2024,0.0,3.0 +2025,0.0,4.0 +2026,0.0,4.0 +2027,1.0,2.0 +2028,1.0,9.0 +2029,3.0,3.0 +2030,2.0,3.0 +2031,2.0,6.0 +2032,0.0,3.0 +2033,4.0,1.0 +2034,0.0,4.0 +2035,4.0,4.0 +2036,0.0,3.0 +2037,0.0,2.0 +2038,0.0,6.0 +2039,4.0,4.0 +2040,3.0,5.0 +2041,1.0,3.0 +2042,1.0,3.0 +2043,1.0,2.0 +2044,2.0,1.0 +2045,0.0,6.0 +2046,1.0,1.0 +2047,1.0,2.0 +2048,3.0,7.0 +2049,1.0,2.0 +2050,1.0,3.0 +2051,3.0,7.0 +2052,1.0,6.0 +2053,1.0,6.0 +2054,2.0,6.0 +2055,2.0,9.0 +2056,2.0,6.0 +2057,1.0,5.0 +2058,2.0,2.0 +2059,3.0,4.0 +2060,1.0,8.0 +2061,3.0,7.0 +2062,2.0,6.0 +2063,4.0,5.0 +2064,2.0,4.0 +2065,1.0,6.0 +2066,1.0,5.0 +2067,1.0,2.0 +2068,0.0,4.0 +2069,1.0,6.0 +2070,1.0,4.0 +2071,1.0,7.0 +2072,1.0,5.0 +2073,1.0,6.0 +2074,2.0,6.0 +2075,5.0,9.0 +2076,1.0,7.0 +2077,1.0,7.0 +2078,3.0,1.0 +2079,1.0,11.0 +2080,0.0,6.0 +2081,1.0,2.0 +2082,3.0,5.0 +2083,3.0,3.0 +2084,3.0,8.0 +2085,4.0,3.0 +2086,2.0,3.0 +2087,0.0,5.0 +2088,2.0,5.0 +2089,5.0,3.0 +2090,6.0,1.0 +2091,1.0,4.0 +2092,1.0,5.0 +2093,0.0,1.0 +2094,1.0,4.0 +2095,3.0,4.0 +2096,1.0,3.0 +2097,2.0,4.0 +2098,2.0,4.0 +2099,1.0,4.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/250-peak+year_c.csv b/SurgeData/250-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/250-peak+year_c.csv rename to SurgeData/250-peak+year_c.csv diff --git a/SurgeData/N=1000/250-peak+year_w.csv b/SurgeData/250-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/250-peak+year_w.csv rename to SurgeData/250-peak+year_w.csv diff --git a/SurgeData/N=1000/250-peak_c.csv b/SurgeData/250-peak_c.csv similarity index 100% rename from SurgeData/N=1000/250-peak_c.csv rename to SurgeData/250-peak_c.csv diff --git a/SurgeData/N=1000/250-peak_w.csv b/SurgeData/250-peak_w.csv similarity index 100% rename from SurgeData/N=1000/250-peak_w.csv rename to SurgeData/250-peak_w.csv diff --git a/SurgeData/N=1000/250-surge_c.csv b/SurgeData/250-surge_c.csv similarity index 100% rename from SurgeData/N=1000/250-surge_c.csv rename to SurgeData/250-surge_c.csv diff --git a/SurgeData/N=1000/250-surge_w.csv b/SurgeData/250-surge_w.csv similarity index 100% rename from SurgeData/N=1000/250-surge_w.csv rename to SurgeData/250-surge_w.csv diff --git a/SurgeData/N=1000/250-time_c.csv b/SurgeData/250-time_c.csv similarity index 100% rename from SurgeData/N=1000/250-time_c.csv rename to SurgeData/250-time_c.csv diff --git a/SurgeData/N=1000/250-time_w.csv b/SurgeData/250-time_w.csv similarity index 100% rename from SurgeData/N=1000/250-time_w.csv rename to SurgeData/250-time_w.csv diff --git a/SurgeData/N=1000/250-waterlevel_c.csv b/SurgeData/250-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/250-waterlevel_c.csv rename to SurgeData/250-waterlevel_c.csv diff --git a/SurgeData/N=1000/250-waterlevel_w.csv b/SurgeData/250-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/250-waterlevel_w.csv rename to SurgeData/250-waterlevel_w.csv diff --git a/SurgeData/251-num_storm.csv b/SurgeData/251-num_storm.csv new file mode 100644 index 00000000..e90c5e7f --- /dev/null +++ b/SurgeData/251-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,1.0,2.0 +2022,3.0,0.0 +2023,0.0,3.0 +2024,3.0,5.0 +2025,3.0,3.0 +2026,0.0,4.0 +2027,0.0,1.0 +2028,2.0,2.0 +2029,1.0,8.0 +2030,0.0,5.0 +2031,2.0,4.0 +2032,2.0,6.0 +2033,1.0,5.0 +2034,1.0,4.0 +2035,0.0,4.0 +2036,5.0,4.0 +2037,4.0,2.0 +2038,2.0,3.0 +2039,2.0,5.0 +2040,3.0,2.0 +2041,1.0,6.0 +2042,2.0,4.0 +2043,2.0,6.0 +2044,4.0,3.0 +2045,1.0,7.0 +2046,0.0,7.0 +2047,1.0,0.0 +2048,3.0,5.0 +2049,0.0,4.0 +2050,4.0,5.0 +2051,1.0,6.0 +2052,0.0,6.0 +2053,0.0,1.0 +2054,2.0,6.0 +2055,1.0,3.0 +2056,0.0,4.0 +2057,0.0,3.0 +2058,1.0,4.0 +2059,1.0,0.0 +2060,1.0,2.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,4.0,2.0 +2064,0.0,3.0 +2065,0.0,5.0 +2066,3.0,8.0 +2067,1.0,5.0 +2068,3.0,5.0 +2069,1.0,1.0 +2070,0.0,2.0 +2071,0.0,3.0 +2072,1.0,3.0 +2073,2.0,3.0 +2074,1.0,4.0 +2075,0.0,4.0 +2076,3.0,2.0 +2077,3.0,2.0 +2078,3.0,5.0 +2079,3.0,5.0 +2080,0.0,5.0 +2081,0.0,6.0 +2082,2.0,7.0 +2083,2.0,3.0 +2084,2.0,6.0 +2085,3.0,8.0 +2086,1.0,0.0 +2087,0.0,4.0 +2088,1.0,6.0 +2089,1.0,7.0 +2090,3.0,3.0 +2091,2.0,7.0 +2092,1.0,0.0 +2093,1.0,5.0 +2094,3.0,2.0 +2095,0.0,4.0 +2096,3.0,0.0 +2097,0.0,3.0 +2098,1.0,9.0 +2099,2.0,5.0 +2100,2.0,10.0 diff --git a/SurgeData/N=1000/251-peak+year_c.csv b/SurgeData/251-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/251-peak+year_c.csv rename to SurgeData/251-peak+year_c.csv diff --git a/SurgeData/N=1000/251-peak+year_w.csv b/SurgeData/251-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/251-peak+year_w.csv rename to SurgeData/251-peak+year_w.csv diff --git a/SurgeData/N=1000/251-peak_c.csv b/SurgeData/251-peak_c.csv similarity index 100% rename from SurgeData/N=1000/251-peak_c.csv rename to SurgeData/251-peak_c.csv diff --git a/SurgeData/N=1000/251-peak_w.csv b/SurgeData/251-peak_w.csv similarity index 100% rename from SurgeData/N=1000/251-peak_w.csv rename to SurgeData/251-peak_w.csv diff --git a/SurgeData/N=1000/251-surge_c.csv b/SurgeData/251-surge_c.csv similarity index 100% rename from SurgeData/N=1000/251-surge_c.csv rename to SurgeData/251-surge_c.csv diff --git a/SurgeData/N=1000/251-surge_w.csv b/SurgeData/251-surge_w.csv similarity index 100% rename from SurgeData/N=1000/251-surge_w.csv rename to SurgeData/251-surge_w.csv diff --git a/SurgeData/N=1000/251-time_c.csv b/SurgeData/251-time_c.csv similarity index 100% rename from SurgeData/N=1000/251-time_c.csv rename to SurgeData/251-time_c.csv diff --git a/SurgeData/N=1000/251-time_w.csv b/SurgeData/251-time_w.csv similarity index 100% rename from SurgeData/N=1000/251-time_w.csv rename to SurgeData/251-time_w.csv diff --git a/SurgeData/N=1000/251-waterlevel_c.csv b/SurgeData/251-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/251-waterlevel_c.csv rename to SurgeData/251-waterlevel_c.csv diff --git a/SurgeData/N=1000/251-waterlevel_w.csv b/SurgeData/251-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/251-waterlevel_w.csv rename to SurgeData/251-waterlevel_w.csv diff --git a/SurgeData/252-num_storm.csv b/SurgeData/252-num_storm.csv new file mode 100644 index 00000000..5dfde9f0 --- /dev/null +++ b/SurgeData/252-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,0.0,6.0 +2022,0.0,1.0 +2023,0.0,5.0 +2024,1.0,3.0 +2025,0.0,1.0 +2026,2.0,8.0 +2027,2.0,2.0 +2028,2.0,5.0 +2029,2.0,6.0 +2030,0.0,7.0 +2031,1.0,3.0 +2032,0.0,2.0 +2033,1.0,2.0 +2034,1.0,5.0 +2035,0.0,3.0 +2036,2.0,5.0 +2037,0.0,9.0 +2038,1.0,6.0 +2039,0.0,2.0 +2040,0.0,5.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,0.0,4.0 +2044,2.0,3.0 +2045,2.0,3.0 +2046,2.0,2.0 +2047,0.0,4.0 +2048,1.0,0.0 +2049,2.0,1.0 +2050,1.0,4.0 +2051,2.0,4.0 +2052,0.0,5.0 +2053,1.0,6.0 +2054,2.0,4.0 +2055,2.0,7.0 +2056,0.0,5.0 +2057,0.0,3.0 +2058,1.0,2.0 +2059,1.0,5.0 +2060,1.0,4.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,4.0,5.0 +2064,2.0,3.0 +2065,0.0,4.0 +2066,0.0,5.0 +2067,0.0,2.0 +2068,2.0,6.0 +2069,3.0,5.0 +2070,1.0,4.0 +2071,2.0,3.0 +2072,3.0,4.0 +2073,1.0,5.0 +2074,1.0,6.0 +2075,2.0,3.0 +2076,1.0,4.0 +2077,4.0,6.0 +2078,0.0,10.0 +2079,2.0,3.0 +2080,0.0,3.0 +2081,3.0,6.0 +2082,3.0,6.0 +2083,3.0,2.0 +2084,3.0,2.0 +2085,0.0,4.0 +2086,3.0,5.0 +2087,0.0,4.0 +2088,1.0,6.0 +2089,0.0,4.0 +2090,1.0,1.0 +2091,2.0,5.0 +2092,2.0,5.0 +2093,1.0,6.0 +2094,0.0,4.0 +2095,1.0,4.0 +2096,2.0,5.0 +2097,4.0,5.0 +2098,0.0,3.0 +2099,1.0,3.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/252-peak+year_c.csv b/SurgeData/252-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/252-peak+year_c.csv rename to SurgeData/252-peak+year_c.csv diff --git a/SurgeData/N=1000/252-peak+year_w.csv b/SurgeData/252-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/252-peak+year_w.csv rename to SurgeData/252-peak+year_w.csv diff --git a/SurgeData/N=1000/252-peak_c.csv b/SurgeData/252-peak_c.csv similarity index 100% rename from SurgeData/N=1000/252-peak_c.csv rename to SurgeData/252-peak_c.csv diff --git a/SurgeData/N=1000/252-peak_w.csv b/SurgeData/252-peak_w.csv similarity index 100% rename from SurgeData/N=1000/252-peak_w.csv rename to SurgeData/252-peak_w.csv diff --git a/SurgeData/N=1000/252-surge_c.csv b/SurgeData/252-surge_c.csv similarity index 100% rename from SurgeData/N=1000/252-surge_c.csv rename to SurgeData/252-surge_c.csv diff --git a/SurgeData/N=1000/252-surge_w.csv b/SurgeData/252-surge_w.csv similarity index 100% rename from SurgeData/N=1000/252-surge_w.csv rename to SurgeData/252-surge_w.csv diff --git a/SurgeData/N=1000/252-time_c.csv b/SurgeData/252-time_c.csv similarity index 100% rename from SurgeData/N=1000/252-time_c.csv rename to SurgeData/252-time_c.csv diff --git a/SurgeData/N=1000/252-time_w.csv b/SurgeData/252-time_w.csv similarity index 100% rename from SurgeData/N=1000/252-time_w.csv rename to SurgeData/252-time_w.csv diff --git a/SurgeData/N=1000/252-waterlevel_c.csv b/SurgeData/252-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/252-waterlevel_c.csv rename to SurgeData/252-waterlevel_c.csv diff --git a/SurgeData/N=1000/252-waterlevel_w.csv b/SurgeData/252-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/252-waterlevel_w.csv rename to SurgeData/252-waterlevel_w.csv diff --git a/SurgeData/N=1000/253-peak+year_c.csv b/SurgeData/253-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/253-peak+year_c.csv rename to SurgeData/253-peak+year_c.csv diff --git a/SurgeData/N=1000/253-peak+year_w.csv b/SurgeData/253-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/253-peak+year_w.csv rename to SurgeData/253-peak+year_w.csv diff --git a/SurgeData/N=1000/253-peak_c.csv b/SurgeData/253-peak_c.csv similarity index 100% rename from SurgeData/N=1000/253-peak_c.csv rename to SurgeData/253-peak_c.csv diff --git a/SurgeData/N=1000/253-peak_w.csv b/SurgeData/253-peak_w.csv similarity index 100% rename from SurgeData/N=1000/253-peak_w.csv rename to SurgeData/253-peak_w.csv diff --git a/SurgeData/N=1000/253-surge_c.csv b/SurgeData/253-surge_c.csv similarity index 100% rename from SurgeData/N=1000/253-surge_c.csv rename to SurgeData/253-surge_c.csv diff --git a/SurgeData/N=1000/253-surge_w.csv b/SurgeData/253-surge_w.csv similarity index 100% rename from SurgeData/N=1000/253-surge_w.csv rename to SurgeData/253-surge_w.csv diff --git a/SurgeData/N=1000/253-time_c.csv b/SurgeData/253-time_c.csv similarity index 100% rename from SurgeData/N=1000/253-time_c.csv rename to SurgeData/253-time_c.csv diff --git a/SurgeData/N=1000/253-time_w.csv b/SurgeData/253-time_w.csv similarity index 100% rename from SurgeData/N=1000/253-time_w.csv rename to SurgeData/253-time_w.csv diff --git a/SurgeData/N=1000/253-waterlevel_c.csv b/SurgeData/253-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/253-waterlevel_c.csv rename to SurgeData/253-waterlevel_c.csv diff --git a/SurgeData/N=1000/253-waterlevel_w.csv b/SurgeData/253-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/253-waterlevel_w.csv rename to SurgeData/253-waterlevel_w.csv diff --git a/SurgeData/254-num_storm.csv b/SurgeData/254-num_storm.csv new file mode 100644 index 00000000..f0eb158b --- /dev/null +++ b/SurgeData/254-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,4.0,7.0 +2022,1.0,5.0 +2023,0.0,8.0 +2024,1.0,7.0 +2025,4.0,5.0 +2026,1.0,4.0 +2027,2.0,7.0 +2028,2.0,3.0 +2029,2.0,4.0 +2030,0.0,4.0 +2031,1.0,6.0 +2032,0.0,5.0 +2033,1.0,7.0 +2034,1.0,6.0 +2035,3.0,1.0 +2036,3.0,6.0 +2037,1.0,3.0 +2038,3.0,6.0 +2039,1.0,3.0 +2040,0.0,5.0 +2041,1.0,6.0 +2042,1.0,2.0 +2043,1.0,5.0 +2044,0.0,8.0 +2045,3.0,7.0 +2046,1.0,4.0 +2047,1.0,7.0 +2048,1.0,7.0 +2049,3.0,4.0 +2050,1.0,3.0 +2051,2.0,2.0 +2052,1.0,4.0 +2053,2.0,4.0 +2054,1.0,4.0 +2055,4.0,7.0 +2056,2.0,5.0 +2057,1.0,0.0 +2058,2.0,8.0 +2059,2.0,4.0 +2060,3.0,4.0 +2061,0.0,5.0 +2062,3.0,5.0 +2063,2.0,4.0 +2064,0.0,4.0 +2065,0.0,2.0 +2066,3.0,1.0 +2067,1.0,6.0 +2068,3.0,5.0 +2069,4.0,3.0 +2070,0.0,2.0 +2071,3.0,1.0 +2072,1.0,4.0 +2073,2.0,0.0 +2074,3.0,6.0 +2075,2.0,2.0 +2076,3.0,4.0 +2077,2.0,1.0 +2078,3.0,1.0 +2079,1.0,5.0 +2080,2.0,5.0 +2081,0.0,4.0 +2082,0.0,4.0 +2083,0.0,8.0 +2084,2.0,7.0 +2085,1.0,1.0 +2086,5.0,6.0 +2087,1.0,5.0 +2088,3.0,4.0 +2089,1.0,4.0 +2090,1.0,7.0 +2091,1.0,3.0 +2092,4.0,7.0 +2093,2.0,2.0 +2094,3.0,3.0 +2095,2.0,4.0 +2096,1.0,2.0 +2097,1.0,4.0 +2098,0.0,8.0 +2099,2.0,4.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/254-peak+year_c.csv b/SurgeData/254-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/254-peak+year_c.csv rename to SurgeData/254-peak+year_c.csv diff --git a/SurgeData/N=1000/254-peak+year_w.csv b/SurgeData/254-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/254-peak+year_w.csv rename to SurgeData/254-peak+year_w.csv diff --git a/SurgeData/N=1000/254-peak_c.csv b/SurgeData/254-peak_c.csv similarity index 100% rename from SurgeData/N=1000/254-peak_c.csv rename to SurgeData/254-peak_c.csv diff --git a/SurgeData/N=1000/254-peak_w.csv b/SurgeData/254-peak_w.csv similarity index 100% rename from SurgeData/N=1000/254-peak_w.csv rename to SurgeData/254-peak_w.csv diff --git a/SurgeData/N=1000/254-surge_c.csv b/SurgeData/254-surge_c.csv similarity index 100% rename from SurgeData/N=1000/254-surge_c.csv rename to SurgeData/254-surge_c.csv diff --git a/SurgeData/N=1000/254-surge_w.csv b/SurgeData/254-surge_w.csv similarity index 100% rename from SurgeData/N=1000/254-surge_w.csv rename to SurgeData/254-surge_w.csv diff --git a/SurgeData/N=1000/254-time_c.csv b/SurgeData/254-time_c.csv similarity index 100% rename from SurgeData/N=1000/254-time_c.csv rename to SurgeData/254-time_c.csv diff --git a/SurgeData/N=1000/254-time_w.csv b/SurgeData/254-time_w.csv similarity index 100% rename from SurgeData/N=1000/254-time_w.csv rename to SurgeData/254-time_w.csv diff --git a/SurgeData/N=1000/254-waterlevel_c.csv b/SurgeData/254-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/254-waterlevel_c.csv rename to SurgeData/254-waterlevel_c.csv diff --git a/SurgeData/N=1000/254-waterlevel_w.csv b/SurgeData/254-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/254-waterlevel_w.csv rename to SurgeData/254-waterlevel_w.csv diff --git a/SurgeData/255-num_storm.csv b/SurgeData/255-num_storm.csv new file mode 100644 index 00000000..504a03d0 --- /dev/null +++ b/SurgeData/255-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,4.0 +2022,1.0,3.0 +2023,4.0,0.0 +2024,2.0,3.0 +2025,0.0,2.0 +2026,4.0,3.0 +2027,2.0,2.0 +2028,1.0,2.0 +2029,0.0,8.0 +2030,1.0,0.0 +2031,0.0,3.0 +2032,2.0,1.0 +2033,1.0,4.0 +2034,3.0,8.0 +2035,3.0,4.0 +2036,1.0,8.0 +2037,1.0,5.0 +2038,1.0,7.0 +2039,2.0,2.0 +2040,1.0,3.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,1.0,1.0 +2044,3.0,8.0 +2045,1.0,2.0 +2046,0.0,8.0 +2047,2.0,5.0 +2048,2.0,4.0 +2049,1.0,5.0 +2050,2.0,6.0 +2051,1.0,3.0 +2052,3.0,4.0 +2053,0.0,6.0 +2054,0.0,1.0 +2055,3.0,1.0 +2056,4.0,2.0 +2057,2.0,4.0 +2058,1.0,6.0 +2059,2.0,3.0 +2060,1.0,6.0 +2061,0.0,10.0 +2062,2.0,4.0 +2063,1.0,1.0 +2064,2.0,3.0 +2065,4.0,4.0 +2066,0.0,2.0 +2067,1.0,2.0 +2068,4.0,4.0 +2069,0.0,4.0 +2070,2.0,3.0 +2071,1.0,8.0 +2072,3.0,1.0 +2073,1.0,6.0 +2074,0.0,4.0 +2075,3.0,4.0 +2076,1.0,4.0 +2077,3.0,6.0 +2078,2.0,5.0 +2079,1.0,2.0 +2080,1.0,3.0 +2081,4.0,4.0 +2082,2.0,6.0 +2083,0.0,3.0 +2084,0.0,2.0 +2085,1.0,6.0 +2086,0.0,4.0 +2087,0.0,3.0 +2088,2.0,7.0 +2089,1.0,6.0 +2090,1.0,1.0 +2091,4.0,6.0 +2092,0.0,3.0 +2093,2.0,4.0 +2094,0.0,2.0 +2095,1.0,7.0 +2096,2.0,9.0 +2097,2.0,2.0 +2098,4.0,3.0 +2099,5.0,1.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/255-peak+year_c.csv b/SurgeData/255-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/255-peak+year_c.csv rename to SurgeData/255-peak+year_c.csv diff --git a/SurgeData/N=1000/255-peak+year_w.csv b/SurgeData/255-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/255-peak+year_w.csv rename to SurgeData/255-peak+year_w.csv diff --git a/SurgeData/N=1000/255-peak_c.csv b/SurgeData/255-peak_c.csv similarity index 100% rename from SurgeData/N=1000/255-peak_c.csv rename to SurgeData/255-peak_c.csv diff --git a/SurgeData/N=1000/255-peak_w.csv b/SurgeData/255-peak_w.csv similarity index 100% rename from SurgeData/N=1000/255-peak_w.csv rename to SurgeData/255-peak_w.csv diff --git a/SurgeData/N=1000/255-surge_c.csv b/SurgeData/255-surge_c.csv similarity index 100% rename from SurgeData/N=1000/255-surge_c.csv rename to SurgeData/255-surge_c.csv diff --git a/SurgeData/N=1000/255-surge_w.csv b/SurgeData/255-surge_w.csv similarity index 100% rename from SurgeData/N=1000/255-surge_w.csv rename to SurgeData/255-surge_w.csv diff --git a/SurgeData/N=1000/255-time_c.csv b/SurgeData/255-time_c.csv similarity index 100% rename from SurgeData/N=1000/255-time_c.csv rename to SurgeData/255-time_c.csv diff --git a/SurgeData/N=1000/255-time_w.csv b/SurgeData/255-time_w.csv similarity index 100% rename from SurgeData/N=1000/255-time_w.csv rename to SurgeData/255-time_w.csv diff --git a/SurgeData/N=1000/255-waterlevel_c.csv b/SurgeData/255-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/255-waterlevel_c.csv rename to SurgeData/255-waterlevel_c.csv diff --git a/SurgeData/N=1000/255-waterlevel_w.csv b/SurgeData/255-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/255-waterlevel_w.csv rename to SurgeData/255-waterlevel_w.csv diff --git a/SurgeData/256-num_storm.csv b/SurgeData/256-num_storm.csv new file mode 100644 index 00000000..c3b36e98 --- /dev/null +++ b/SurgeData/256-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,3.0,6.0 +2022,1.0,2.0 +2023,0.0,5.0 +2024,0.0,4.0 +2025,1.0,8.0 +2026,0.0,5.0 +2027,1.0,6.0 +2028,1.0,3.0 +2029,2.0,5.0 +2030,2.0,1.0 +2031,3.0,6.0 +2032,1.0,5.0 +2033,1.0,2.0 +2034,2.0,6.0 +2035,2.0,1.0 +2036,0.0,2.0 +2037,3.0,4.0 +2038,2.0,2.0 +2039,0.0,4.0 +2040,3.0,6.0 +2041,1.0,3.0 +2042,0.0,4.0 +2043,2.0,5.0 +2044,0.0,7.0 +2045,0.0,4.0 +2046,3.0,3.0 +2047,2.0,5.0 +2048,2.0,1.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,0.0,2.0 +2052,1.0,7.0 +2053,2.0,4.0 +2054,0.0,5.0 +2055,1.0,6.0 +2056,3.0,3.0 +2057,3.0,2.0 +2058,4.0,3.0 +2059,1.0,4.0 +2060,0.0,5.0 +2061,3.0,2.0 +2062,0.0,5.0 +2063,0.0,3.0 +2064,1.0,6.0 +2065,2.0,7.0 +2066,4.0,9.0 +2067,2.0,4.0 +2068,0.0,2.0 +2069,1.0,4.0 +2070,2.0,4.0 +2071,2.0,5.0 +2072,2.0,0.0 +2073,0.0,3.0 +2074,1.0,3.0 +2075,1.0,6.0 +2076,2.0,4.0 +2077,0.0,3.0 +2078,2.0,3.0 +2079,1.0,3.0 +2080,4.0,5.0 +2081,5.0,5.0 +2082,0.0,7.0 +2083,1.0,3.0 +2084,2.0,7.0 +2085,0.0,4.0 +2086,1.0,7.0 +2087,2.0,6.0 +2088,2.0,4.0 +2089,1.0,1.0 +2090,1.0,7.0 +2091,2.0,2.0 +2092,2.0,0.0 +2093,1.0,6.0 +2094,1.0,1.0 +2095,1.0,9.0 +2096,1.0,4.0 +2097,0.0,3.0 +2098,4.0,3.0 +2099,0.0,4.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/256-peak+year_c.csv b/SurgeData/256-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/256-peak+year_c.csv rename to SurgeData/256-peak+year_c.csv diff --git a/SurgeData/N=1000/256-peak+year_w.csv b/SurgeData/256-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/256-peak+year_w.csv rename to SurgeData/256-peak+year_w.csv diff --git a/SurgeData/N=1000/256-peak_c.csv b/SurgeData/256-peak_c.csv similarity index 100% rename from SurgeData/N=1000/256-peak_c.csv rename to SurgeData/256-peak_c.csv diff --git a/SurgeData/N=1000/256-peak_w.csv b/SurgeData/256-peak_w.csv similarity index 100% rename from SurgeData/N=1000/256-peak_w.csv rename to SurgeData/256-peak_w.csv diff --git a/SurgeData/N=1000/256-surge_c.csv b/SurgeData/256-surge_c.csv similarity index 100% rename from SurgeData/N=1000/256-surge_c.csv rename to SurgeData/256-surge_c.csv diff --git a/SurgeData/N=1000/256-surge_w.csv b/SurgeData/256-surge_w.csv similarity index 100% rename from SurgeData/N=1000/256-surge_w.csv rename to SurgeData/256-surge_w.csv diff --git a/SurgeData/N=1000/256-time_c.csv b/SurgeData/256-time_c.csv similarity index 100% rename from SurgeData/N=1000/256-time_c.csv rename to SurgeData/256-time_c.csv diff --git a/SurgeData/N=1000/256-time_w.csv b/SurgeData/256-time_w.csv similarity index 100% rename from SurgeData/N=1000/256-time_w.csv rename to SurgeData/256-time_w.csv diff --git a/SurgeData/N=1000/256-waterlevel_c.csv b/SurgeData/256-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/256-waterlevel_c.csv rename to SurgeData/256-waterlevel_c.csv diff --git a/SurgeData/N=1000/256-waterlevel_w.csv b/SurgeData/256-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/256-waterlevel_w.csv rename to SurgeData/256-waterlevel_w.csv diff --git a/SurgeData/257-num_storm.csv b/SurgeData/257-num_storm.csv new file mode 100644 index 00000000..f5a7acf2 --- /dev/null +++ b/SurgeData/257-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,2.0,1.0 +2022,1.0,2.0 +2023,3.0,2.0 +2024,0.0,2.0 +2025,3.0,6.0 +2026,0.0,1.0 +2027,2.0,4.0 +2028,0.0,5.0 +2029,1.0,6.0 +2030,0.0,4.0 +2031,3.0,4.0 +2032,0.0,5.0 +2033,1.0,4.0 +2034,3.0,4.0 +2035,3.0,3.0 +2036,2.0,8.0 +2037,2.0,1.0 +2038,1.0,1.0 +2039,2.0,3.0 +2040,3.0,7.0 +2041,1.0,4.0 +2042,5.0,7.0 +2043,2.0,4.0 +2044,3.0,3.0 +2045,0.0,2.0 +2046,1.0,10.0 +2047,0.0,8.0 +2048,1.0,6.0 +2049,4.0,4.0 +2050,0.0,5.0 +2051,0.0,1.0 +2052,2.0,8.0 +2053,2.0,4.0 +2054,1.0,6.0 +2055,2.0,5.0 +2056,0.0,0.0 +2057,4.0,1.0 +2058,1.0,2.0 +2059,4.0,0.0 +2060,5.0,1.0 +2061,2.0,4.0 +2062,4.0,9.0 +2063,1.0,3.0 +2064,2.0,3.0 +2065,1.0,4.0 +2066,0.0,5.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,1.0,5.0 +2070,0.0,3.0 +2071,2.0,2.0 +2072,0.0,6.0 +2073,0.0,5.0 +2074,2.0,3.0 +2075,3.0,5.0 +2076,3.0,5.0 +2077,2.0,5.0 +2078,4.0,5.0 +2079,0.0,5.0 +2080,2.0,4.0 +2081,0.0,1.0 +2082,2.0,7.0 +2083,2.0,2.0 +2084,1.0,1.0 +2085,0.0,2.0 +2086,2.0,4.0 +2087,2.0,8.0 +2088,1.0,2.0 +2089,0.0,2.0 +2090,2.0,1.0 +2091,3.0,2.0 +2092,0.0,4.0 +2093,2.0,9.0 +2094,0.0,6.0 +2095,2.0,6.0 +2096,0.0,4.0 +2097,1.0,4.0 +2098,3.0,7.0 +2099,3.0,4.0 +2100,1.0,9.0 diff --git a/SurgeData/N=1000/257-peak+year_c.csv b/SurgeData/257-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/257-peak+year_c.csv rename to SurgeData/257-peak+year_c.csv diff --git a/SurgeData/N=1000/257-peak+year_w.csv b/SurgeData/257-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/257-peak+year_w.csv rename to SurgeData/257-peak+year_w.csv diff --git a/SurgeData/N=1000/257-peak_c.csv b/SurgeData/257-peak_c.csv similarity index 100% rename from SurgeData/N=1000/257-peak_c.csv rename to SurgeData/257-peak_c.csv diff --git a/SurgeData/N=1000/257-peak_w.csv b/SurgeData/257-peak_w.csv similarity index 100% rename from SurgeData/N=1000/257-peak_w.csv rename to SurgeData/257-peak_w.csv diff --git a/SurgeData/N=1000/257-surge_c.csv b/SurgeData/257-surge_c.csv similarity index 100% rename from SurgeData/N=1000/257-surge_c.csv rename to SurgeData/257-surge_c.csv diff --git a/SurgeData/N=1000/257-surge_w.csv b/SurgeData/257-surge_w.csv similarity index 100% rename from SurgeData/N=1000/257-surge_w.csv rename to SurgeData/257-surge_w.csv diff --git a/SurgeData/N=1000/257-time_c.csv b/SurgeData/257-time_c.csv similarity index 100% rename from SurgeData/N=1000/257-time_c.csv rename to SurgeData/257-time_c.csv diff --git a/SurgeData/N=1000/257-time_w.csv b/SurgeData/257-time_w.csv similarity index 100% rename from SurgeData/N=1000/257-time_w.csv rename to SurgeData/257-time_w.csv diff --git a/SurgeData/N=1000/257-waterlevel_c.csv b/SurgeData/257-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/257-waterlevel_c.csv rename to SurgeData/257-waterlevel_c.csv diff --git a/SurgeData/N=1000/257-waterlevel_w.csv b/SurgeData/257-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/257-waterlevel_w.csv rename to SurgeData/257-waterlevel_w.csv diff --git a/SurgeData/258-num_storm.csv b/SurgeData/258-num_storm.csv new file mode 100644 index 00000000..b8708181 --- /dev/null +++ b/SurgeData/258-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,4.0 +2022,0.0,6.0 +2023,3.0,5.0 +2024,1.0,4.0 +2025,3.0,4.0 +2026,1.0,4.0 +2027,2.0,6.0 +2028,1.0,2.0 +2029,1.0,5.0 +2030,1.0,3.0 +2031,1.0,5.0 +2032,3.0,5.0 +2033,2.0,5.0 +2034,2.0,2.0 +2035,1.0,2.0 +2036,3.0,2.0 +2037,1.0,4.0 +2038,2.0,5.0 +2039,1.0,9.0 +2040,2.0,6.0 +2041,1.0,7.0 +2042,2.0,11.0 +2043,5.0,4.0 +2044,0.0,1.0 +2045,2.0,4.0 +2046,3.0,3.0 +2047,5.0,6.0 +2048,2.0,6.0 +2049,1.0,6.0 +2050,1.0,6.0 +2051,2.0,8.0 +2052,2.0,3.0 +2053,1.0,3.0 +2054,2.0,2.0 +2055,1.0,3.0 +2056,0.0,3.0 +2057,2.0,1.0 +2058,2.0,5.0 +2059,2.0,4.0 +2060,1.0,2.0 +2061,1.0,4.0 +2062,2.0,4.0 +2063,2.0,3.0 +2064,2.0,4.0 +2065,1.0,3.0 +2066,1.0,5.0 +2067,0.0,5.0 +2068,2.0,3.0 +2069,3.0,6.0 +2070,1.0,3.0 +2071,2.0,7.0 +2072,3.0,4.0 +2073,2.0,2.0 +2074,2.0,1.0 +2075,0.0,2.0 +2076,1.0,5.0 +2077,4.0,3.0 +2078,2.0,5.0 +2079,2.0,6.0 +2080,0.0,3.0 +2081,0.0,4.0 +2082,0.0,7.0 +2083,1.0,0.0 +2084,2.0,8.0 +2085,1.0,4.0 +2086,3.0,6.0 +2087,3.0,4.0 +2088,0.0,4.0 +2089,1.0,5.0 +2090,0.0,5.0 +2091,0.0,6.0 +2092,1.0,8.0 +2093,0.0,2.0 +2094,3.0,6.0 +2095,3.0,3.0 +2096,6.0,6.0 +2097,1.0,4.0 +2098,0.0,7.0 +2099,2.0,5.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/258-peak+year_c.csv b/SurgeData/258-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/258-peak+year_c.csv rename to SurgeData/258-peak+year_c.csv diff --git a/SurgeData/N=1000/258-peak+year_w.csv b/SurgeData/258-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/258-peak+year_w.csv rename to SurgeData/258-peak+year_w.csv diff --git a/SurgeData/N=1000/258-peak_c.csv b/SurgeData/258-peak_c.csv similarity index 100% rename from SurgeData/N=1000/258-peak_c.csv rename to SurgeData/258-peak_c.csv diff --git a/SurgeData/N=1000/258-peak_w.csv b/SurgeData/258-peak_w.csv similarity index 100% rename from SurgeData/N=1000/258-peak_w.csv rename to SurgeData/258-peak_w.csv diff --git a/SurgeData/N=1000/258-surge_c.csv b/SurgeData/258-surge_c.csv similarity index 100% rename from SurgeData/N=1000/258-surge_c.csv rename to SurgeData/258-surge_c.csv diff --git a/SurgeData/N=1000/258-surge_w.csv b/SurgeData/258-surge_w.csv similarity index 100% rename from SurgeData/N=1000/258-surge_w.csv rename to SurgeData/258-surge_w.csv diff --git a/SurgeData/N=1000/258-time_c.csv b/SurgeData/258-time_c.csv similarity index 100% rename from SurgeData/N=1000/258-time_c.csv rename to SurgeData/258-time_c.csv diff --git a/SurgeData/N=1000/258-time_w.csv b/SurgeData/258-time_w.csv similarity index 100% rename from SurgeData/N=1000/258-time_w.csv rename to SurgeData/258-time_w.csv diff --git a/SurgeData/N=1000/258-waterlevel_c.csv b/SurgeData/258-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/258-waterlevel_c.csv rename to SurgeData/258-waterlevel_c.csv diff --git a/SurgeData/N=1000/258-waterlevel_w.csv b/SurgeData/258-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/258-waterlevel_w.csv rename to SurgeData/258-waterlevel_w.csv diff --git a/SurgeData/259-num_storm.csv b/SurgeData/259-num_storm.csv new file mode 100644 index 00000000..82d7f688 --- /dev/null +++ b/SurgeData/259-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,0.0,3.0 +2022,2.0,7.0 +2023,1.0,3.0 +2024,1.0,6.0 +2025,2.0,4.0 +2026,1.0,11.0 +2027,1.0,7.0 +2028,1.0,7.0 +2029,1.0,3.0 +2030,1.0,5.0 +2031,0.0,2.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,3.0,4.0 +2035,0.0,6.0 +2036,2.0,6.0 +2037,1.0,5.0 +2038,1.0,8.0 +2039,4.0,4.0 +2040,1.0,4.0 +2041,2.0,0.0 +2042,3.0,8.0 +2043,4.0,7.0 +2044,2.0,3.0 +2045,2.0,6.0 +2046,1.0,7.0 +2047,0.0,4.0 +2048,1.0,5.0 +2049,0.0,4.0 +2050,3.0,5.0 +2051,2.0,5.0 +2052,3.0,10.0 +2053,2.0,3.0 +2054,1.0,2.0 +2055,4.0,6.0 +2056,1.0,3.0 +2057,0.0,7.0 +2058,2.0,5.0 +2059,2.0,4.0 +2060,2.0,3.0 +2061,4.0,3.0 +2062,0.0,2.0 +2063,0.0,2.0 +2064,1.0,7.0 +2065,2.0,6.0 +2066,1.0,5.0 +2067,3.0,3.0 +2068,2.0,5.0 +2069,2.0,5.0 +2070,5.0,2.0 +2071,0.0,8.0 +2072,1.0,1.0 +2073,0.0,6.0 +2074,2.0,4.0 +2075,0.0,6.0 +2076,1.0,4.0 +2077,3.0,8.0 +2078,3.0,3.0 +2079,5.0,3.0 +2080,0.0,3.0 +2081,0.0,4.0 +2082,0.0,4.0 +2083,0.0,2.0 +2084,2.0,2.0 +2085,3.0,5.0 +2086,1.0,2.0 +2087,1.0,2.0 +2088,2.0,0.0 +2089,2.0,2.0 +2090,1.0,4.0 +2091,1.0,4.0 +2092,2.0,4.0 +2093,0.0,4.0 +2094,0.0,7.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,2.0,3.0 +2098,2.0,5.0 +2099,2.0,2.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/259-peak+year_c.csv b/SurgeData/259-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/259-peak+year_c.csv rename to SurgeData/259-peak+year_c.csv diff --git a/SurgeData/N=1000/259-peak+year_w.csv b/SurgeData/259-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/259-peak+year_w.csv rename to SurgeData/259-peak+year_w.csv diff --git a/SurgeData/N=1000/259-peak_c.csv b/SurgeData/259-peak_c.csv similarity index 100% rename from SurgeData/N=1000/259-peak_c.csv rename to SurgeData/259-peak_c.csv diff --git a/SurgeData/N=1000/259-peak_w.csv b/SurgeData/259-peak_w.csv similarity index 100% rename from SurgeData/N=1000/259-peak_w.csv rename to SurgeData/259-peak_w.csv diff --git a/SurgeData/N=1000/259-surge_c.csv b/SurgeData/259-surge_c.csv similarity index 100% rename from SurgeData/N=1000/259-surge_c.csv rename to SurgeData/259-surge_c.csv diff --git a/SurgeData/N=1000/259-surge_w.csv b/SurgeData/259-surge_w.csv similarity index 100% rename from SurgeData/N=1000/259-surge_w.csv rename to SurgeData/259-surge_w.csv diff --git a/SurgeData/N=1000/259-time_c.csv b/SurgeData/259-time_c.csv similarity index 100% rename from SurgeData/N=1000/259-time_c.csv rename to SurgeData/259-time_c.csv diff --git a/SurgeData/N=1000/259-time_w.csv b/SurgeData/259-time_w.csv similarity index 100% rename from SurgeData/N=1000/259-time_w.csv rename to SurgeData/259-time_w.csv diff --git a/SurgeData/N=1000/259-waterlevel_c.csv b/SurgeData/259-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/259-waterlevel_c.csv rename to SurgeData/259-waterlevel_c.csv diff --git a/SurgeData/N=1000/259-waterlevel_w.csv b/SurgeData/259-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/259-waterlevel_w.csv rename to SurgeData/259-waterlevel_w.csv diff --git a/SurgeData/26-num_storm.csv b/SurgeData/26-num_storm.csv new file mode 100644 index 00000000..e3082d65 --- /dev/null +++ b/SurgeData/26-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,8.0 +2021,2.0,1.0 +2022,3.0,6.0 +2023,1.0,9.0 +2024,1.0,5.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,2.0,3.0 +2028,0.0,4.0 +2029,1.0,2.0 +2030,3.0,6.0 +2031,2.0,4.0 +2032,2.0,5.0 +2033,2.0,5.0 +2034,1.0,6.0 +2035,3.0,6.0 +2036,1.0,5.0 +2037,1.0,5.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,2.0,4.0 +2041,1.0,5.0 +2042,1.0,3.0 +2043,2.0,5.0 +2044,1.0,3.0 +2045,0.0,3.0 +2046,1.0,9.0 +2047,1.0,2.0 +2048,1.0,4.0 +2049,3.0,3.0 +2050,3.0,5.0 +2051,1.0,6.0 +2052,1.0,5.0 +2053,1.0,4.0 +2054,3.0,6.0 +2055,0.0,6.0 +2056,4.0,7.0 +2057,4.0,1.0 +2058,3.0,5.0 +2059,1.0,7.0 +2060,1.0,4.0 +2061,3.0,6.0 +2062,0.0,4.0 +2063,3.0,2.0 +2064,0.0,0.0 +2065,3.0,2.0 +2066,5.0,4.0 +2067,1.0,3.0 +2068,0.0,3.0 +2069,1.0,4.0 +2070,1.0,10.0 +2071,1.0,5.0 +2072,3.0,8.0 +2073,1.0,7.0 +2074,3.0,4.0 +2075,3.0,5.0 +2076,3.0,1.0 +2077,2.0,3.0 +2078,1.0,2.0 +2079,2.0,5.0 +2080,3.0,2.0 +2081,2.0,5.0 +2082,1.0,7.0 +2083,1.0,3.0 +2084,1.0,9.0 +2085,1.0,7.0 +2086,1.0,2.0 +2087,0.0,3.0 +2088,0.0,3.0 +2089,2.0,6.0 +2090,3.0,5.0 +2091,2.0,4.0 +2092,2.0,6.0 +2093,1.0,2.0 +2094,2.0,8.0 +2095,0.0,5.0 +2096,4.0,3.0 +2097,0.0,7.0 +2098,2.0,6.0 +2099,2.0,5.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/26-peak+year_c.csv b/SurgeData/26-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/26-peak+year_c.csv rename to SurgeData/26-peak+year_c.csv diff --git a/SurgeData/N=1000/26-peak+year_w.csv b/SurgeData/26-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/26-peak+year_w.csv rename to SurgeData/26-peak+year_w.csv diff --git a/SurgeData/N=1000/26-peak_c.csv b/SurgeData/26-peak_c.csv similarity index 100% rename from SurgeData/N=1000/26-peak_c.csv rename to SurgeData/26-peak_c.csv diff --git a/SurgeData/N=1000/26-peak_w.csv b/SurgeData/26-peak_w.csv similarity index 100% rename from SurgeData/N=1000/26-peak_w.csv rename to SurgeData/26-peak_w.csv diff --git a/SurgeData/N=1000/26-surge_c.csv b/SurgeData/26-surge_c.csv similarity index 100% rename from SurgeData/N=1000/26-surge_c.csv rename to SurgeData/26-surge_c.csv diff --git a/SurgeData/N=1000/26-surge_w.csv b/SurgeData/26-surge_w.csv similarity index 100% rename from SurgeData/N=1000/26-surge_w.csv rename to SurgeData/26-surge_w.csv diff --git a/SurgeData/N=1000/26-time_c.csv b/SurgeData/26-time_c.csv similarity index 100% rename from SurgeData/N=1000/26-time_c.csv rename to SurgeData/26-time_c.csv diff --git a/SurgeData/N=1000/26-time_w.csv b/SurgeData/26-time_w.csv similarity index 100% rename from SurgeData/N=1000/26-time_w.csv rename to SurgeData/26-time_w.csv diff --git a/SurgeData/N=1000/26-waterlevel_c.csv b/SurgeData/26-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/26-waterlevel_c.csv rename to SurgeData/26-waterlevel_c.csv diff --git a/SurgeData/N=1000/26-waterlevel_w.csv b/SurgeData/26-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/26-waterlevel_w.csv rename to SurgeData/26-waterlevel_w.csv diff --git a/SurgeData/260-num_storm.csv b/SurgeData/260-num_storm.csv new file mode 100644 index 00000000..cfae616b --- /dev/null +++ b/SurgeData/260-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,5.0,5.0 +2022,2.0,2.0 +2023,2.0,4.0 +2024,3.0,6.0 +2025,2.0,4.0 +2026,2.0,7.0 +2027,3.0,5.0 +2028,2.0,4.0 +2029,1.0,3.0 +2030,0.0,4.0 +2031,4.0,4.0 +2032,1.0,5.0 +2033,0.0,4.0 +2034,0.0,6.0 +2035,0.0,5.0 +2036,1.0,2.0 +2037,1.0,3.0 +2038,1.0,3.0 +2039,1.0,3.0 +2040,2.0,3.0 +2041,1.0,2.0 +2042,2.0,8.0 +2043,0.0,5.0 +2044,3.0,7.0 +2045,1.0,3.0 +2046,0.0,2.0 +2047,0.0,6.0 +2048,4.0,2.0 +2049,2.0,5.0 +2050,1.0,1.0 +2051,3.0,6.0 +2052,3.0,2.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,1.0,4.0 +2056,3.0,3.0 +2057,1.0,4.0 +2058,2.0,3.0 +2059,2.0,2.0 +2060,2.0,4.0 +2061,3.0,3.0 +2062,1.0,2.0 +2063,1.0,5.0 +2064,0.0,3.0 +2065,0.0,3.0 +2066,0.0,4.0 +2067,0.0,1.0 +2068,2.0,2.0 +2069,3.0,6.0 +2070,1.0,5.0 +2071,0.0,4.0 +2072,3.0,1.0 +2073,0.0,4.0 +2074,0.0,4.0 +2075,3.0,4.0 +2076,1.0,4.0 +2077,1.0,6.0 +2078,5.0,5.0 +2079,1.0,7.0 +2080,3.0,4.0 +2081,0.0,4.0 +2082,0.0,10.0 +2083,3.0,4.0 +2084,1.0,3.0 +2085,3.0,3.0 +2086,1.0,6.0 +2087,1.0,7.0 +2088,0.0,2.0 +2089,1.0,5.0 +2090,0.0,3.0 +2091,1.0,4.0 +2092,3.0,5.0 +2093,3.0,3.0 +2094,2.0,1.0 +2095,0.0,2.0 +2096,1.0,2.0 +2097,5.0,4.0 +2098,3.0,11.0 +2099,2.0,5.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/260-peak+year_c.csv b/SurgeData/260-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/260-peak+year_c.csv rename to SurgeData/260-peak+year_c.csv diff --git a/SurgeData/N=1000/260-peak+year_w.csv b/SurgeData/260-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/260-peak+year_w.csv rename to SurgeData/260-peak+year_w.csv diff --git a/SurgeData/N=1000/260-peak_c.csv b/SurgeData/260-peak_c.csv similarity index 100% rename from SurgeData/N=1000/260-peak_c.csv rename to SurgeData/260-peak_c.csv diff --git a/SurgeData/N=1000/260-peak_w.csv b/SurgeData/260-peak_w.csv similarity index 100% rename from SurgeData/N=1000/260-peak_w.csv rename to SurgeData/260-peak_w.csv diff --git a/SurgeData/N=1000/260-surge_c.csv b/SurgeData/260-surge_c.csv similarity index 100% rename from SurgeData/N=1000/260-surge_c.csv rename to SurgeData/260-surge_c.csv diff --git a/SurgeData/N=1000/260-surge_w.csv b/SurgeData/260-surge_w.csv similarity index 100% rename from SurgeData/N=1000/260-surge_w.csv rename to SurgeData/260-surge_w.csv diff --git a/SurgeData/N=1000/260-time_c.csv b/SurgeData/260-time_c.csv similarity index 100% rename from SurgeData/N=1000/260-time_c.csv rename to SurgeData/260-time_c.csv diff --git a/SurgeData/N=1000/260-time_w.csv b/SurgeData/260-time_w.csv similarity index 100% rename from SurgeData/N=1000/260-time_w.csv rename to SurgeData/260-time_w.csv diff --git a/SurgeData/N=1000/260-waterlevel_c.csv b/SurgeData/260-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/260-waterlevel_c.csv rename to SurgeData/260-waterlevel_c.csv diff --git a/SurgeData/N=1000/260-waterlevel_w.csv b/SurgeData/260-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/260-waterlevel_w.csv rename to SurgeData/260-waterlevel_w.csv diff --git a/SurgeData/261-num_storm.csv b/SurgeData/261-num_storm.csv new file mode 100644 index 00000000..528a5674 --- /dev/null +++ b/SurgeData/261-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,1.0 +2021,1.0,2.0 +2022,1.0,2.0 +2023,2.0,3.0 +2024,0.0,2.0 +2025,1.0,8.0 +2026,0.0,4.0 +2027,0.0,7.0 +2028,3.0,3.0 +2029,1.0,5.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,1.0,6.0 +2033,1.0,2.0 +2034,2.0,5.0 +2035,1.0,3.0 +2036,2.0,5.0 +2037,2.0,3.0 +2038,0.0,5.0 +2039,0.0,3.0 +2040,1.0,7.0 +2041,0.0,7.0 +2042,2.0,2.0 +2043,2.0,2.0 +2044,1.0,1.0 +2045,4.0,6.0 +2046,2.0,4.0 +2047,1.0,8.0 +2048,2.0,2.0 +2049,1.0,7.0 +2050,0.0,5.0 +2051,0.0,7.0 +2052,1.0,3.0 +2053,1.0,4.0 +2054,0.0,3.0 +2055,1.0,1.0 +2056,2.0,10.0 +2057,2.0,1.0 +2058,2.0,3.0 +2059,1.0,5.0 +2060,2.0,2.0 +2061,2.0,7.0 +2062,3.0,3.0 +2063,0.0,5.0 +2064,1.0,2.0 +2065,0.0,5.0 +2066,2.0,3.0 +2067,2.0,3.0 +2068,0.0,4.0 +2069,2.0,1.0 +2070,0.0,4.0 +2071,1.0,1.0 +2072,1.0,1.0 +2073,1.0,6.0 +2074,2.0,4.0 +2075,0.0,1.0 +2076,0.0,3.0 +2077,2.0,6.0 +2078,4.0,5.0 +2079,2.0,5.0 +2080,2.0,2.0 +2081,1.0,5.0 +2082,2.0,2.0 +2083,3.0,3.0 +2084,3.0,3.0 +2085,2.0,5.0 +2086,0.0,5.0 +2087,3.0,5.0 +2088,0.0,3.0 +2089,0.0,7.0 +2090,3.0,5.0 +2091,2.0,3.0 +2092,2.0,4.0 +2093,1.0,7.0 +2094,3.0,4.0 +2095,3.0,8.0 +2096,1.0,5.0 +2097,0.0,5.0 +2098,0.0,4.0 +2099,2.0,7.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/261-peak+year_c.csv b/SurgeData/261-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/261-peak+year_c.csv rename to SurgeData/261-peak+year_c.csv diff --git a/SurgeData/N=1000/261-peak+year_w.csv b/SurgeData/261-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/261-peak+year_w.csv rename to SurgeData/261-peak+year_w.csv diff --git a/SurgeData/N=1000/261-peak_c.csv b/SurgeData/261-peak_c.csv similarity index 100% rename from SurgeData/N=1000/261-peak_c.csv rename to SurgeData/261-peak_c.csv diff --git a/SurgeData/N=1000/261-peak_w.csv b/SurgeData/261-peak_w.csv similarity index 100% rename from SurgeData/N=1000/261-peak_w.csv rename to SurgeData/261-peak_w.csv diff --git a/SurgeData/N=1000/261-surge_c.csv b/SurgeData/261-surge_c.csv similarity index 100% rename from SurgeData/N=1000/261-surge_c.csv rename to SurgeData/261-surge_c.csv diff --git a/SurgeData/N=1000/261-surge_w.csv b/SurgeData/261-surge_w.csv similarity index 100% rename from SurgeData/N=1000/261-surge_w.csv rename to SurgeData/261-surge_w.csv diff --git a/SurgeData/N=1000/261-time_c.csv b/SurgeData/261-time_c.csv similarity index 100% rename from SurgeData/N=1000/261-time_c.csv rename to SurgeData/261-time_c.csv diff --git a/SurgeData/N=1000/261-time_w.csv b/SurgeData/261-time_w.csv similarity index 100% rename from SurgeData/N=1000/261-time_w.csv rename to SurgeData/261-time_w.csv diff --git a/SurgeData/N=1000/261-waterlevel_c.csv b/SurgeData/261-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/261-waterlevel_c.csv rename to SurgeData/261-waterlevel_c.csv diff --git a/SurgeData/N=1000/261-waterlevel_w.csv b/SurgeData/261-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/261-waterlevel_w.csv rename to SurgeData/261-waterlevel_w.csv diff --git a/SurgeData/N=1000/262-peak+year_c.csv b/SurgeData/262-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/262-peak+year_c.csv rename to SurgeData/262-peak+year_c.csv diff --git a/SurgeData/N=1000/262-peak+year_w.csv b/SurgeData/262-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/262-peak+year_w.csv rename to SurgeData/262-peak+year_w.csv diff --git a/SurgeData/N=1000/262-peak_c.csv b/SurgeData/262-peak_c.csv similarity index 100% rename from SurgeData/N=1000/262-peak_c.csv rename to SurgeData/262-peak_c.csv diff --git a/SurgeData/N=1000/262-peak_w.csv b/SurgeData/262-peak_w.csv similarity index 100% rename from SurgeData/N=1000/262-peak_w.csv rename to SurgeData/262-peak_w.csv diff --git a/SurgeData/N=1000/262-surge_c.csv b/SurgeData/262-surge_c.csv similarity index 100% rename from SurgeData/N=1000/262-surge_c.csv rename to SurgeData/262-surge_c.csv diff --git a/SurgeData/N=1000/262-surge_w.csv b/SurgeData/262-surge_w.csv similarity index 100% rename from SurgeData/N=1000/262-surge_w.csv rename to SurgeData/262-surge_w.csv diff --git a/SurgeData/N=1000/262-time_c.csv b/SurgeData/262-time_c.csv similarity index 100% rename from SurgeData/N=1000/262-time_c.csv rename to SurgeData/262-time_c.csv diff --git a/SurgeData/N=1000/262-time_w.csv b/SurgeData/262-time_w.csv similarity index 100% rename from SurgeData/N=1000/262-time_w.csv rename to SurgeData/262-time_w.csv diff --git a/SurgeData/N=1000/262-waterlevel_c.csv b/SurgeData/262-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/262-waterlevel_c.csv rename to SurgeData/262-waterlevel_c.csv diff --git a/SurgeData/N=1000/262-waterlevel_w.csv b/SurgeData/262-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/262-waterlevel_w.csv rename to SurgeData/262-waterlevel_w.csv diff --git a/SurgeData/263-num_storm.csv b/SurgeData/263-num_storm.csv new file mode 100644 index 00000000..2b1c6e7f --- /dev/null +++ b/SurgeData/263-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,5.0 +2022,1.0,6.0 +2023,1.0,4.0 +2024,0.0,2.0 +2025,2.0,2.0 +2026,0.0,4.0 +2027,1.0,6.0 +2028,4.0,6.0 +2029,1.0,2.0 +2030,1.0,6.0 +2031,1.0,0.0 +2032,2.0,3.0 +2033,2.0,8.0 +2034,0.0,3.0 +2035,2.0,4.0 +2036,4.0,5.0 +2037,3.0,2.0 +2038,2.0,5.0 +2039,2.0,5.0 +2040,2.0,2.0 +2041,1.0,3.0 +2042,2.0,2.0 +2043,1.0,2.0 +2044,3.0,5.0 +2045,1.0,1.0 +2046,0.0,5.0 +2047,2.0,2.0 +2048,1.0,0.0 +2049,1.0,6.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,1.0,6.0 +2053,2.0,7.0 +2054,1.0,6.0 +2055,1.0,8.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,2.0,5.0 +2059,1.0,6.0 +2060,4.0,5.0 +2061,3.0,6.0 +2062,1.0,3.0 +2063,7.0,3.0 +2064,1.0,3.0 +2065,1.0,4.0 +2066,2.0,3.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,1.0,8.0 +2070,1.0,2.0 +2071,0.0,4.0 +2072,3.0,1.0 +2073,2.0,1.0 +2074,2.0,3.0 +2075,1.0,3.0 +2076,0.0,4.0 +2077,1.0,3.0 +2078,2.0,3.0 +2079,1.0,5.0 +2080,3.0,3.0 +2081,5.0,6.0 +2082,3.0,6.0 +2083,0.0,0.0 +2084,2.0,5.0 +2085,4.0,5.0 +2086,0.0,3.0 +2087,2.0,4.0 +2088,2.0,7.0 +2089,1.0,8.0 +2090,0.0,4.0 +2091,4.0,3.0 +2092,0.0,4.0 +2093,1.0,3.0 +2094,0.0,4.0 +2095,1.0,3.0 +2096,1.0,5.0 +2097,0.0,2.0 +2098,3.0,4.0 +2099,1.0,1.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/263-peak+year_c.csv b/SurgeData/263-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/263-peak+year_c.csv rename to SurgeData/263-peak+year_c.csv diff --git a/SurgeData/N=1000/263-peak+year_w.csv b/SurgeData/263-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/263-peak+year_w.csv rename to SurgeData/263-peak+year_w.csv diff --git a/SurgeData/N=1000/263-peak_c.csv b/SurgeData/263-peak_c.csv similarity index 100% rename from SurgeData/N=1000/263-peak_c.csv rename to SurgeData/263-peak_c.csv diff --git a/SurgeData/N=1000/263-peak_w.csv b/SurgeData/263-peak_w.csv similarity index 100% rename from SurgeData/N=1000/263-peak_w.csv rename to SurgeData/263-peak_w.csv diff --git a/SurgeData/N=1000/263-surge_c.csv b/SurgeData/263-surge_c.csv similarity index 100% rename from SurgeData/N=1000/263-surge_c.csv rename to SurgeData/263-surge_c.csv diff --git a/SurgeData/N=1000/263-surge_w.csv b/SurgeData/263-surge_w.csv similarity index 100% rename from SurgeData/N=1000/263-surge_w.csv rename to SurgeData/263-surge_w.csv diff --git a/SurgeData/N=1000/263-time_c.csv b/SurgeData/263-time_c.csv similarity index 100% rename from SurgeData/N=1000/263-time_c.csv rename to SurgeData/263-time_c.csv diff --git a/SurgeData/N=1000/263-time_w.csv b/SurgeData/263-time_w.csv similarity index 100% rename from SurgeData/N=1000/263-time_w.csv rename to SurgeData/263-time_w.csv diff --git a/SurgeData/N=1000/263-waterlevel_c.csv b/SurgeData/263-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/263-waterlevel_c.csv rename to SurgeData/263-waterlevel_c.csv diff --git a/SurgeData/N=1000/263-waterlevel_w.csv b/SurgeData/263-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/263-waterlevel_w.csv rename to SurgeData/263-waterlevel_w.csv diff --git a/SurgeData/264-num_storm.csv b/SurgeData/264-num_storm.csv new file mode 100644 index 00000000..856e2ac4 --- /dev/null +++ b/SurgeData/264-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,12.0 +2022,0.0,3.0 +2023,1.0,6.0 +2024,0.0,5.0 +2025,1.0,5.0 +2026,2.0,5.0 +2027,1.0,10.0 +2028,1.0,1.0 +2029,0.0,4.0 +2030,1.0,7.0 +2031,2.0,4.0 +2032,3.0,3.0 +2033,1.0,7.0 +2034,2.0,1.0 +2035,2.0,9.0 +2036,2.0,4.0 +2037,3.0,3.0 +2038,2.0,6.0 +2039,0.0,5.0 +2040,1.0,3.0 +2041,4.0,2.0 +2042,4.0,3.0 +2043,0.0,4.0 +2044,1.0,3.0 +2045,2.0,4.0 +2046,2.0,3.0 +2047,1.0,3.0 +2048,2.0,7.0 +2049,2.0,0.0 +2050,2.0,5.0 +2051,3.0,6.0 +2052,3.0,6.0 +2053,1.0,3.0 +2054,0.0,5.0 +2055,2.0,3.0 +2056,2.0,3.0 +2057,3.0,6.0 +2058,1.0,0.0 +2059,1.0,1.0 +2060,1.0,4.0 +2061,1.0,4.0 +2062,2.0,2.0 +2063,2.0,3.0 +2064,0.0,6.0 +2065,1.0,2.0 +2066,1.0,6.0 +2067,1.0,5.0 +2068,1.0,0.0 +2069,1.0,3.0 +2070,1.0,2.0 +2071,2.0,10.0 +2072,2.0,5.0 +2073,1.0,2.0 +2074,0.0,4.0 +2075,1.0,4.0 +2076,1.0,7.0 +2077,2.0,2.0 +2078,0.0,1.0 +2079,2.0,3.0 +2080,1.0,2.0 +2081,0.0,7.0 +2082,2.0,7.0 +2083,2.0,6.0 +2084,1.0,3.0 +2085,2.0,5.0 +2086,2.0,6.0 +2087,0.0,4.0 +2088,1.0,8.0 +2089,0.0,3.0 +2090,0.0,3.0 +2091,1.0,4.0 +2092,1.0,5.0 +2093,3.0,3.0 +2094,0.0,3.0 +2095,1.0,5.0 +2096,2.0,12.0 +2097,2.0,5.0 +2098,0.0,4.0 +2099,3.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/264-peak+year_c.csv b/SurgeData/264-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/264-peak+year_c.csv rename to SurgeData/264-peak+year_c.csv diff --git a/SurgeData/N=1000/264-peak+year_w.csv b/SurgeData/264-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/264-peak+year_w.csv rename to SurgeData/264-peak+year_w.csv diff --git a/SurgeData/N=1000/264-peak_c.csv b/SurgeData/264-peak_c.csv similarity index 100% rename from SurgeData/N=1000/264-peak_c.csv rename to SurgeData/264-peak_c.csv diff --git a/SurgeData/N=1000/264-peak_w.csv b/SurgeData/264-peak_w.csv similarity index 100% rename from SurgeData/N=1000/264-peak_w.csv rename to SurgeData/264-peak_w.csv diff --git a/SurgeData/N=1000/264-surge_c.csv b/SurgeData/264-surge_c.csv similarity index 100% rename from SurgeData/N=1000/264-surge_c.csv rename to SurgeData/264-surge_c.csv diff --git a/SurgeData/N=1000/264-surge_w.csv b/SurgeData/264-surge_w.csv similarity index 100% rename from SurgeData/N=1000/264-surge_w.csv rename to SurgeData/264-surge_w.csv diff --git a/SurgeData/N=1000/264-time_c.csv b/SurgeData/264-time_c.csv similarity index 100% rename from SurgeData/N=1000/264-time_c.csv rename to SurgeData/264-time_c.csv diff --git a/SurgeData/N=1000/264-time_w.csv b/SurgeData/264-time_w.csv similarity index 100% rename from SurgeData/N=1000/264-time_w.csv rename to SurgeData/264-time_w.csv diff --git a/SurgeData/N=1000/264-waterlevel_c.csv b/SurgeData/264-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/264-waterlevel_c.csv rename to SurgeData/264-waterlevel_c.csv diff --git a/SurgeData/N=1000/264-waterlevel_w.csv b/SurgeData/264-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/264-waterlevel_w.csv rename to SurgeData/264-waterlevel_w.csv diff --git a/SurgeData/265-num_storm.csv b/SurgeData/265-num_storm.csv new file mode 100644 index 00000000..cc52aa25 --- /dev/null +++ b/SurgeData/265-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,1.0,6.0 +2022,2.0,3.0 +2023,1.0,2.0 +2024,2.0,2.0 +2025,2.0,2.0 +2026,1.0,4.0 +2027,1.0,2.0 +2028,2.0,5.0 +2029,0.0,3.0 +2030,0.0,7.0 +2031,2.0,6.0 +2032,2.0,7.0 +2033,0.0,5.0 +2034,1.0,2.0 +2035,3.0,3.0 +2036,1.0,4.0 +2037,1.0,2.0 +2038,1.0,6.0 +2039,1.0,9.0 +2040,3.0,4.0 +2041,0.0,12.0 +2042,0.0,7.0 +2043,3.0,3.0 +2044,0.0,2.0 +2045,4.0,8.0 +2046,0.0,2.0 +2047,1.0,5.0 +2048,1.0,1.0 +2049,2.0,0.0 +2050,1.0,4.0 +2051,1.0,5.0 +2052,1.0,1.0 +2053,3.0,7.0 +2054,3.0,2.0 +2055,0.0,4.0 +2056,1.0,6.0 +2057,0.0,7.0 +2058,1.0,8.0 +2059,2.0,2.0 +2060,2.0,9.0 +2061,3.0,4.0 +2062,1.0,6.0 +2063,1.0,7.0 +2064,0.0,2.0 +2065,2.0,5.0 +2066,2.0,3.0 +2067,1.0,5.0 +2068,0.0,4.0 +2069,2.0,1.0 +2070,2.0,5.0 +2071,2.0,5.0 +2072,3.0,6.0 +2073,2.0,1.0 +2074,0.0,4.0 +2075,3.0,2.0 +2076,2.0,5.0 +2077,2.0,6.0 +2078,0.0,4.0 +2079,1.0,6.0 +2080,1.0,4.0 +2081,2.0,4.0 +2082,3.0,2.0 +2083,1.0,7.0 +2084,1.0,0.0 +2085,1.0,3.0 +2086,2.0,1.0 +2087,1.0,3.0 +2088,2.0,5.0 +2089,0.0,1.0 +2090,1.0,9.0 +2091,1.0,7.0 +2092,1.0,6.0 +2093,2.0,2.0 +2094,2.0,3.0 +2095,1.0,2.0 +2096,1.0,5.0 +2097,1.0,3.0 +2098,2.0,3.0 +2099,4.0,12.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/265-peak+year_c.csv b/SurgeData/265-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/265-peak+year_c.csv rename to SurgeData/265-peak+year_c.csv diff --git a/SurgeData/N=1000/265-peak+year_w.csv b/SurgeData/265-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/265-peak+year_w.csv rename to SurgeData/265-peak+year_w.csv diff --git a/SurgeData/N=1000/265-peak_c.csv b/SurgeData/265-peak_c.csv similarity index 100% rename from SurgeData/N=1000/265-peak_c.csv rename to SurgeData/265-peak_c.csv diff --git a/SurgeData/N=1000/265-peak_w.csv b/SurgeData/265-peak_w.csv similarity index 100% rename from SurgeData/N=1000/265-peak_w.csv rename to SurgeData/265-peak_w.csv diff --git a/SurgeData/N=1000/265-surge_c.csv b/SurgeData/265-surge_c.csv similarity index 100% rename from SurgeData/N=1000/265-surge_c.csv rename to SurgeData/265-surge_c.csv diff --git a/SurgeData/N=1000/265-surge_w.csv b/SurgeData/265-surge_w.csv similarity index 100% rename from SurgeData/N=1000/265-surge_w.csv rename to SurgeData/265-surge_w.csv diff --git a/SurgeData/N=1000/265-time_c.csv b/SurgeData/265-time_c.csv similarity index 100% rename from SurgeData/N=1000/265-time_c.csv rename to SurgeData/265-time_c.csv diff --git a/SurgeData/N=1000/265-time_w.csv b/SurgeData/265-time_w.csv similarity index 100% rename from SurgeData/N=1000/265-time_w.csv rename to SurgeData/265-time_w.csv diff --git a/SurgeData/N=1000/265-waterlevel_c.csv b/SurgeData/265-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/265-waterlevel_c.csv rename to SurgeData/265-waterlevel_c.csv diff --git a/SurgeData/N=1000/265-waterlevel_w.csv b/SurgeData/265-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/265-waterlevel_w.csv rename to SurgeData/265-waterlevel_w.csv diff --git a/SurgeData/266-num_storm.csv b/SurgeData/266-num_storm.csv new file mode 100644 index 00000000..5fb7b19b --- /dev/null +++ b/SurgeData/266-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,11.0 +2022,2.0,4.0 +2023,1.0,2.0 +2024,1.0,4.0 +2025,1.0,0.0 +2026,1.0,6.0 +2027,1.0,3.0 +2028,2.0,4.0 +2029,1.0,2.0 +2030,2.0,3.0 +2031,1.0,1.0 +2032,1.0,6.0 +2033,2.0,2.0 +2034,2.0,2.0 +2035,0.0,4.0 +2036,1.0,2.0 +2037,0.0,3.0 +2038,2.0,5.0 +2039,1.0,6.0 +2040,1.0,5.0 +2041,3.0,2.0 +2042,2.0,4.0 +2043,1.0,5.0 +2044,4.0,4.0 +2045,2.0,4.0 +2046,2.0,3.0 +2047,0.0,4.0 +2048,1.0,3.0 +2049,2.0,2.0 +2050,0.0,3.0 +2051,0.0,4.0 +2052,3.0,3.0 +2053,2.0,5.0 +2054,0.0,4.0 +2055,2.0,4.0 +2056,1.0,4.0 +2057,1.0,6.0 +2058,2.0,3.0 +2059,2.0,5.0 +2060,1.0,6.0 +2061,2.0,4.0 +2062,1.0,4.0 +2063,3.0,3.0 +2064,1.0,5.0 +2065,1.0,5.0 +2066,4.0,2.0 +2067,0.0,6.0 +2068,3.0,5.0 +2069,0.0,3.0 +2070,0.0,3.0 +2071,1.0,3.0 +2072,0.0,3.0 +2073,4.0,2.0 +2074,1.0,4.0 +2075,2.0,5.0 +2076,0.0,6.0 +2077,2.0,7.0 +2078,2.0,4.0 +2079,1.0,3.0 +2080,0.0,8.0 +2081,0.0,8.0 +2082,1.0,3.0 +2083,1.0,6.0 +2084,2.0,4.0 +2085,1.0,6.0 +2086,1.0,1.0 +2087,1.0,7.0 +2088,2.0,5.0 +2089,1.0,4.0 +2090,2.0,2.0 +2091,2.0,0.0 +2092,0.0,7.0 +2093,1.0,3.0 +2094,2.0,2.0 +2095,0.0,6.0 +2096,0.0,3.0 +2097,3.0,4.0 +2098,4.0,3.0 +2099,0.0,2.0 +2100,1.0,0.0 diff --git a/SurgeData/N=1000/266-peak+year_c.csv b/SurgeData/266-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/266-peak+year_c.csv rename to SurgeData/266-peak+year_c.csv diff --git a/SurgeData/N=1000/266-peak+year_w.csv b/SurgeData/266-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/266-peak+year_w.csv rename to SurgeData/266-peak+year_w.csv diff --git a/SurgeData/N=1000/266-peak_c.csv b/SurgeData/266-peak_c.csv similarity index 100% rename from SurgeData/N=1000/266-peak_c.csv rename to SurgeData/266-peak_c.csv diff --git a/SurgeData/N=1000/266-peak_w.csv b/SurgeData/266-peak_w.csv similarity index 100% rename from SurgeData/N=1000/266-peak_w.csv rename to SurgeData/266-peak_w.csv diff --git a/SurgeData/N=1000/266-surge_c.csv b/SurgeData/266-surge_c.csv similarity index 100% rename from SurgeData/N=1000/266-surge_c.csv rename to SurgeData/266-surge_c.csv diff --git a/SurgeData/N=1000/266-surge_w.csv b/SurgeData/266-surge_w.csv similarity index 100% rename from SurgeData/N=1000/266-surge_w.csv rename to SurgeData/266-surge_w.csv diff --git a/SurgeData/N=1000/266-time_c.csv b/SurgeData/266-time_c.csv similarity index 100% rename from SurgeData/N=1000/266-time_c.csv rename to SurgeData/266-time_c.csv diff --git a/SurgeData/N=1000/266-time_w.csv b/SurgeData/266-time_w.csv similarity index 100% rename from SurgeData/N=1000/266-time_w.csv rename to SurgeData/266-time_w.csv diff --git a/SurgeData/N=1000/266-waterlevel_c.csv b/SurgeData/266-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/266-waterlevel_c.csv rename to SurgeData/266-waterlevel_c.csv diff --git a/SurgeData/N=1000/266-waterlevel_w.csv b/SurgeData/266-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/266-waterlevel_w.csv rename to SurgeData/266-waterlevel_w.csv diff --git a/SurgeData/N=1000/267-peak+year_c.csv b/SurgeData/267-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/267-peak+year_c.csv rename to SurgeData/267-peak+year_c.csv diff --git a/SurgeData/N=1000/267-peak+year_w.csv b/SurgeData/267-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/267-peak+year_w.csv rename to SurgeData/267-peak+year_w.csv diff --git a/SurgeData/N=1000/267-peak_c.csv b/SurgeData/267-peak_c.csv similarity index 100% rename from SurgeData/N=1000/267-peak_c.csv rename to SurgeData/267-peak_c.csv diff --git a/SurgeData/N=1000/267-peak_w.csv b/SurgeData/267-peak_w.csv similarity index 100% rename from SurgeData/N=1000/267-peak_w.csv rename to SurgeData/267-peak_w.csv diff --git a/SurgeData/N=1000/267-surge_c.csv b/SurgeData/267-surge_c.csv similarity index 100% rename from SurgeData/N=1000/267-surge_c.csv rename to SurgeData/267-surge_c.csv diff --git a/SurgeData/N=1000/267-surge_w.csv b/SurgeData/267-surge_w.csv similarity index 100% rename from SurgeData/N=1000/267-surge_w.csv rename to SurgeData/267-surge_w.csv diff --git a/SurgeData/N=1000/267-time_c.csv b/SurgeData/267-time_c.csv similarity index 100% rename from SurgeData/N=1000/267-time_c.csv rename to SurgeData/267-time_c.csv diff --git a/SurgeData/N=1000/267-time_w.csv b/SurgeData/267-time_w.csv similarity index 100% rename from SurgeData/N=1000/267-time_w.csv rename to SurgeData/267-time_w.csv diff --git a/SurgeData/N=1000/267-waterlevel_c.csv b/SurgeData/267-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/267-waterlevel_c.csv rename to SurgeData/267-waterlevel_c.csv diff --git a/SurgeData/N=1000/267-waterlevel_w.csv b/SurgeData/267-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/267-waterlevel_w.csv rename to SurgeData/267-waterlevel_w.csv diff --git a/SurgeData/268-num_storm.csv b/SurgeData/268-num_storm.csv new file mode 100644 index 00000000..aff33ff1 --- /dev/null +++ b/SurgeData/268-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,6.0 +2022,2.0,6.0 +2023,2.0,2.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,1.0,5.0 +2027,3.0,4.0 +2028,2.0,8.0 +2029,1.0,5.0 +2030,3.0,2.0 +2031,1.0,3.0 +2032,2.0,5.0 +2033,2.0,6.0 +2034,0.0,5.0 +2035,1.0,5.0 +2036,2.0,2.0 +2037,0.0,3.0 +2038,0.0,5.0 +2039,1.0,1.0 +2040,0.0,8.0 +2041,1.0,4.0 +2042,4.0,4.0 +2043,1.0,6.0 +2044,2.0,3.0 +2045,0.0,5.0 +2046,1.0,3.0 +2047,1.0,6.0 +2048,3.0,5.0 +2049,0.0,6.0 +2050,1.0,6.0 +2051,0.0,4.0 +2052,2.0,7.0 +2053,3.0,5.0 +2054,2.0,3.0 +2055,2.0,3.0 +2056,2.0,5.0 +2057,3.0,5.0 +2058,3.0,6.0 +2059,1.0,0.0 +2060,0.0,3.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,0.0,4.0 +2064,4.0,6.0 +2065,2.0,4.0 +2066,1.0,2.0 +2067,3.0,2.0 +2068,3.0,0.0 +2069,0.0,7.0 +2070,2.0,5.0 +2071,0.0,7.0 +2072,2.0,5.0 +2073,0.0,5.0 +2074,4.0,5.0 +2075,1.0,2.0 +2076,0.0,2.0 +2077,7.0,2.0 +2078,1.0,6.0 +2079,0.0,5.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,3.0,3.0 +2083,2.0,4.0 +2084,1.0,4.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,3.0,0.0 +2088,2.0,1.0 +2089,2.0,4.0 +2090,3.0,4.0 +2091,2.0,4.0 +2092,1.0,5.0 +2093,1.0,5.0 +2094,1.0,2.0 +2095,1.0,4.0 +2096,1.0,1.0 +2097,4.0,3.0 +2098,2.0,4.0 +2099,4.0,1.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/268-peak+year_c.csv b/SurgeData/268-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/268-peak+year_c.csv rename to SurgeData/268-peak+year_c.csv diff --git a/SurgeData/N=1000/268-peak+year_w.csv b/SurgeData/268-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/268-peak+year_w.csv rename to SurgeData/268-peak+year_w.csv diff --git a/SurgeData/N=1000/268-peak_c.csv b/SurgeData/268-peak_c.csv similarity index 100% rename from SurgeData/N=1000/268-peak_c.csv rename to SurgeData/268-peak_c.csv diff --git a/SurgeData/N=1000/268-peak_w.csv b/SurgeData/268-peak_w.csv similarity index 100% rename from SurgeData/N=1000/268-peak_w.csv rename to SurgeData/268-peak_w.csv diff --git a/SurgeData/N=1000/268-surge_c.csv b/SurgeData/268-surge_c.csv similarity index 100% rename from SurgeData/N=1000/268-surge_c.csv rename to SurgeData/268-surge_c.csv diff --git a/SurgeData/N=1000/268-surge_w.csv b/SurgeData/268-surge_w.csv similarity index 100% rename from SurgeData/N=1000/268-surge_w.csv rename to SurgeData/268-surge_w.csv diff --git a/SurgeData/N=1000/268-time_c.csv b/SurgeData/268-time_c.csv similarity index 100% rename from SurgeData/N=1000/268-time_c.csv rename to SurgeData/268-time_c.csv diff --git a/SurgeData/N=1000/268-time_w.csv b/SurgeData/268-time_w.csv similarity index 100% rename from SurgeData/N=1000/268-time_w.csv rename to SurgeData/268-time_w.csv diff --git a/SurgeData/N=1000/268-waterlevel_c.csv b/SurgeData/268-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/268-waterlevel_c.csv rename to SurgeData/268-waterlevel_c.csv diff --git a/SurgeData/N=1000/268-waterlevel_w.csv b/SurgeData/268-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/268-waterlevel_w.csv rename to SurgeData/268-waterlevel_w.csv diff --git a/SurgeData/N=1000/269-peak+year_c.csv b/SurgeData/269-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/269-peak+year_c.csv rename to SurgeData/269-peak+year_c.csv diff --git a/SurgeData/N=1000/269-peak+year_w.csv b/SurgeData/269-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/269-peak+year_w.csv rename to SurgeData/269-peak+year_w.csv diff --git a/SurgeData/N=1000/269-peak_c.csv b/SurgeData/269-peak_c.csv similarity index 100% rename from SurgeData/N=1000/269-peak_c.csv rename to SurgeData/269-peak_c.csv diff --git a/SurgeData/N=1000/269-peak_w.csv b/SurgeData/269-peak_w.csv similarity index 100% rename from SurgeData/N=1000/269-peak_w.csv rename to SurgeData/269-peak_w.csv diff --git a/SurgeData/N=1000/269-surge_c.csv b/SurgeData/269-surge_c.csv similarity index 100% rename from SurgeData/N=1000/269-surge_c.csv rename to SurgeData/269-surge_c.csv diff --git a/SurgeData/N=1000/269-surge_w.csv b/SurgeData/269-surge_w.csv similarity index 100% rename from SurgeData/N=1000/269-surge_w.csv rename to SurgeData/269-surge_w.csv diff --git a/SurgeData/N=1000/269-time_c.csv b/SurgeData/269-time_c.csv similarity index 100% rename from SurgeData/N=1000/269-time_c.csv rename to SurgeData/269-time_c.csv diff --git a/SurgeData/N=1000/269-time_w.csv b/SurgeData/269-time_w.csv similarity index 100% rename from SurgeData/N=1000/269-time_w.csv rename to SurgeData/269-time_w.csv diff --git a/SurgeData/N=1000/269-waterlevel_c.csv b/SurgeData/269-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/269-waterlevel_c.csv rename to SurgeData/269-waterlevel_c.csv diff --git a/SurgeData/N=1000/269-waterlevel_w.csv b/SurgeData/269-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/269-waterlevel_w.csv rename to SurgeData/269-waterlevel_w.csv diff --git a/SurgeData/27-num_storm.csv b/SurgeData/27-num_storm.csv new file mode 100644 index 00000000..7e5565b5 --- /dev/null +++ b/SurgeData/27-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,10.0 +2021,2.0,2.0 +2022,1.0,9.0 +2023,4.0,3.0 +2024,2.0,6.0 +2025,2.0,3.0 +2026,1.0,6.0 +2027,1.0,3.0 +2028,1.0,5.0 +2029,2.0,3.0 +2030,1.0,2.0 +2031,3.0,2.0 +2032,3.0,2.0 +2033,0.0,5.0 +2034,2.0,8.0 +2035,3.0,5.0 +2036,4.0,3.0 +2037,1.0,3.0 +2038,0.0,8.0 +2039,2.0,8.0 +2040,1.0,2.0 +2041,5.0,8.0 +2042,2.0,4.0 +2043,0.0,2.0 +2044,1.0,0.0 +2045,4.0,3.0 +2046,1.0,2.0 +2047,0.0,4.0 +2048,1.0,3.0 +2049,3.0,2.0 +2050,1.0,5.0 +2051,0.0,4.0 +2052,4.0,4.0 +2053,1.0,4.0 +2054,0.0,8.0 +2055,3.0,1.0 +2056,1.0,5.0 +2057,1.0,4.0 +2058,1.0,5.0 +2059,0.0,6.0 +2060,3.0,5.0 +2061,0.0,2.0 +2062,0.0,3.0 +2063,1.0,7.0 +2064,1.0,2.0 +2065,0.0,6.0 +2066,3.0,4.0 +2067,1.0,3.0 +2068,1.0,6.0 +2069,0.0,1.0 +2070,3.0,2.0 +2071,1.0,2.0 +2072,3.0,5.0 +2073,1.0,6.0 +2074,1.0,4.0 +2075,1.0,5.0 +2076,2.0,2.0 +2077,0.0,4.0 +2078,2.0,5.0 +2079,1.0,5.0 +2080,2.0,7.0 +2081,0.0,1.0 +2082,1.0,5.0 +2083,1.0,5.0 +2084,3.0,4.0 +2085,4.0,3.0 +2086,3.0,1.0 +2087,0.0,1.0 +2088,0.0,10.0 +2089,4.0,2.0 +2090,1.0,3.0 +2091,1.0,3.0 +2092,3.0,6.0 +2093,2.0,6.0 +2094,0.0,3.0 +2095,5.0,8.0 +2096,1.0,7.0 +2097,0.0,1.0 +2098,2.0,2.0 +2099,1.0,4.0 +2100,0.0,11.0 diff --git a/SurgeData/N=1000/27-peak+year_c.csv b/SurgeData/27-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/27-peak+year_c.csv rename to SurgeData/27-peak+year_c.csv diff --git a/SurgeData/N=1000/27-peak+year_w.csv b/SurgeData/27-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/27-peak+year_w.csv rename to SurgeData/27-peak+year_w.csv diff --git a/SurgeData/N=1000/27-peak_c.csv b/SurgeData/27-peak_c.csv similarity index 100% rename from SurgeData/N=1000/27-peak_c.csv rename to SurgeData/27-peak_c.csv diff --git a/SurgeData/N=1000/27-peak_w.csv b/SurgeData/27-peak_w.csv similarity index 100% rename from SurgeData/N=1000/27-peak_w.csv rename to SurgeData/27-peak_w.csv diff --git a/SurgeData/N=1000/27-surge_c.csv b/SurgeData/27-surge_c.csv similarity index 100% rename from SurgeData/N=1000/27-surge_c.csv rename to SurgeData/27-surge_c.csv diff --git a/SurgeData/N=1000/27-surge_w.csv b/SurgeData/27-surge_w.csv similarity index 100% rename from SurgeData/N=1000/27-surge_w.csv rename to SurgeData/27-surge_w.csv diff --git a/SurgeData/N=1000/27-time_c.csv b/SurgeData/27-time_c.csv similarity index 100% rename from SurgeData/N=1000/27-time_c.csv rename to SurgeData/27-time_c.csv diff --git a/SurgeData/N=1000/27-time_w.csv b/SurgeData/27-time_w.csv similarity index 100% rename from SurgeData/N=1000/27-time_w.csv rename to SurgeData/27-time_w.csv diff --git a/SurgeData/N=1000/27-waterlevel_c.csv b/SurgeData/27-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/27-waterlevel_c.csv rename to SurgeData/27-waterlevel_c.csv diff --git a/SurgeData/N=1000/27-waterlevel_w.csv b/SurgeData/27-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/27-waterlevel_w.csv rename to SurgeData/27-waterlevel_w.csv diff --git a/SurgeData/270-num_storm.csv b/SurgeData/270-num_storm.csv new file mode 100644 index 00000000..577773c3 --- /dev/null +++ b/SurgeData/270-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,7.0 +2022,0.0,9.0 +2023,2.0,3.0 +2024,2.0,3.0 +2025,1.0,5.0 +2026,3.0,3.0 +2027,4.0,6.0 +2028,2.0,2.0 +2029,2.0,3.0 +2030,0.0,3.0 +2031,1.0,4.0 +2032,1.0,7.0 +2033,2.0,3.0 +2034,0.0,2.0 +2035,3.0,3.0 +2036,0.0,4.0 +2037,2.0,7.0 +2038,0.0,3.0 +2039,1.0,6.0 +2040,1.0,3.0 +2041,2.0,3.0 +2042,2.0,3.0 +2043,1.0,3.0 +2044,5.0,3.0 +2045,2.0,5.0 +2046,1.0,1.0 +2047,1.0,5.0 +2048,2.0,2.0 +2049,1.0,5.0 +2050,1.0,4.0 +2051,1.0,3.0 +2052,2.0,4.0 +2053,0.0,6.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,1.0,5.0 +2057,4.0,2.0 +2058,0.0,6.0 +2059,1.0,6.0 +2060,2.0,2.0 +2061,1.0,2.0 +2062,1.0,8.0 +2063,2.0,3.0 +2064,2.0,3.0 +2065,4.0,4.0 +2066,3.0,8.0 +2067,4.0,5.0 +2068,1.0,2.0 +2069,1.0,6.0 +2070,2.0,5.0 +2071,2.0,6.0 +2072,1.0,1.0 +2073,4.0,4.0 +2074,1.0,7.0 +2075,0.0,6.0 +2076,3.0,3.0 +2077,2.0,4.0 +2078,0.0,5.0 +2079,2.0,4.0 +2080,0.0,6.0 +2081,2.0,3.0 +2082,1.0,5.0 +2083,1.0,5.0 +2084,4.0,5.0 +2085,2.0,5.0 +2086,1.0,3.0 +2087,1.0,4.0 +2088,1.0,3.0 +2089,0.0,4.0 +2090,1.0,2.0 +2091,2.0,2.0 +2092,0.0,6.0 +2093,4.0,6.0 +2094,2.0,2.0 +2095,2.0,3.0 +2096,1.0,3.0 +2097,0.0,3.0 +2098,2.0,5.0 +2099,2.0,2.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/270-peak+year_c.csv b/SurgeData/270-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/270-peak+year_c.csv rename to SurgeData/270-peak+year_c.csv diff --git a/SurgeData/N=1000/270-peak+year_w.csv b/SurgeData/270-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/270-peak+year_w.csv rename to SurgeData/270-peak+year_w.csv diff --git a/SurgeData/N=1000/270-peak_c.csv b/SurgeData/270-peak_c.csv similarity index 100% rename from SurgeData/N=1000/270-peak_c.csv rename to SurgeData/270-peak_c.csv diff --git a/SurgeData/N=1000/270-peak_w.csv b/SurgeData/270-peak_w.csv similarity index 100% rename from SurgeData/N=1000/270-peak_w.csv rename to SurgeData/270-peak_w.csv diff --git a/SurgeData/N=1000/270-surge_c.csv b/SurgeData/270-surge_c.csv similarity index 100% rename from SurgeData/N=1000/270-surge_c.csv rename to SurgeData/270-surge_c.csv diff --git a/SurgeData/N=1000/270-surge_w.csv b/SurgeData/270-surge_w.csv similarity index 100% rename from SurgeData/N=1000/270-surge_w.csv rename to SurgeData/270-surge_w.csv diff --git a/SurgeData/N=1000/270-time_c.csv b/SurgeData/270-time_c.csv similarity index 100% rename from SurgeData/N=1000/270-time_c.csv rename to SurgeData/270-time_c.csv diff --git a/SurgeData/N=1000/270-time_w.csv b/SurgeData/270-time_w.csv similarity index 100% rename from SurgeData/N=1000/270-time_w.csv rename to SurgeData/270-time_w.csv diff --git a/SurgeData/N=1000/270-waterlevel_c.csv b/SurgeData/270-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/270-waterlevel_c.csv rename to SurgeData/270-waterlevel_c.csv diff --git a/SurgeData/N=1000/270-waterlevel_w.csv b/SurgeData/270-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/270-waterlevel_w.csv rename to SurgeData/270-waterlevel_w.csv diff --git a/SurgeData/271-num_storm.csv b/SurgeData/271-num_storm.csv new file mode 100644 index 00000000..cfa52653 --- /dev/null +++ b/SurgeData/271-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,1.0,4.0 +2022,2.0,5.0 +2023,1.0,5.0 +2024,5.0,4.0 +2025,1.0,5.0 +2026,3.0,6.0 +2027,3.0,2.0 +2028,3.0,4.0 +2029,1.0,4.0 +2030,1.0,6.0 +2031,2.0,5.0 +2032,0.0,6.0 +2033,0.0,2.0 +2034,3.0,5.0 +2035,0.0,3.0 +2036,2.0,6.0 +2037,0.0,2.0 +2038,3.0,3.0 +2039,1.0,6.0 +2040,0.0,4.0 +2041,2.0,4.0 +2042,2.0,3.0 +2043,2.0,5.0 +2044,2.0,3.0 +2045,1.0,3.0 +2046,4.0,2.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,2.0,2.0 +2050,0.0,6.0 +2051,2.0,4.0 +2052,4.0,4.0 +2053,2.0,5.0 +2054,1.0,7.0 +2055,0.0,2.0 +2056,0.0,2.0 +2057,1.0,7.0 +2058,1.0,4.0 +2059,2.0,4.0 +2060,1.0,1.0 +2061,4.0,4.0 +2062,3.0,5.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,2.0,5.0 +2066,2.0,1.0 +2067,0.0,4.0 +2068,2.0,6.0 +2069,0.0,6.0 +2070,6.0,6.0 +2071,3.0,4.0 +2072,0.0,4.0 +2073,0.0,5.0 +2074,2.0,4.0 +2075,3.0,6.0 +2076,2.0,4.0 +2077,0.0,4.0 +2078,2.0,5.0 +2079,3.0,5.0 +2080,0.0,3.0 +2081,3.0,6.0 +2082,4.0,4.0 +2083,2.0,5.0 +2084,0.0,2.0 +2085,1.0,7.0 +2086,1.0,5.0 +2087,0.0,5.0 +2088,3.0,4.0 +2089,1.0,8.0 +2090,3.0,6.0 +2091,2.0,5.0 +2092,2.0,5.0 +2093,2.0,3.0 +2094,2.0,4.0 +2095,2.0,6.0 +2096,1.0,3.0 +2097,0.0,5.0 +2098,0.0,5.0 +2099,1.0,9.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/271-peak+year_c.csv b/SurgeData/271-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/271-peak+year_c.csv rename to SurgeData/271-peak+year_c.csv diff --git a/SurgeData/N=1000/271-peak+year_w.csv b/SurgeData/271-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/271-peak+year_w.csv rename to SurgeData/271-peak+year_w.csv diff --git a/SurgeData/N=1000/271-peak_c.csv b/SurgeData/271-peak_c.csv similarity index 100% rename from SurgeData/N=1000/271-peak_c.csv rename to SurgeData/271-peak_c.csv diff --git a/SurgeData/N=1000/271-peak_w.csv b/SurgeData/271-peak_w.csv similarity index 100% rename from SurgeData/N=1000/271-peak_w.csv rename to SurgeData/271-peak_w.csv diff --git a/SurgeData/N=1000/271-surge_c.csv b/SurgeData/271-surge_c.csv similarity index 100% rename from SurgeData/N=1000/271-surge_c.csv rename to SurgeData/271-surge_c.csv diff --git a/SurgeData/N=1000/271-surge_w.csv b/SurgeData/271-surge_w.csv similarity index 100% rename from SurgeData/N=1000/271-surge_w.csv rename to SurgeData/271-surge_w.csv diff --git a/SurgeData/N=1000/271-time_c.csv b/SurgeData/271-time_c.csv similarity index 100% rename from SurgeData/N=1000/271-time_c.csv rename to SurgeData/271-time_c.csv diff --git a/SurgeData/N=1000/271-time_w.csv b/SurgeData/271-time_w.csv similarity index 100% rename from SurgeData/N=1000/271-time_w.csv rename to SurgeData/271-time_w.csv diff --git a/SurgeData/N=1000/271-waterlevel_c.csv b/SurgeData/271-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/271-waterlevel_c.csv rename to SurgeData/271-waterlevel_c.csv diff --git a/SurgeData/N=1000/271-waterlevel_w.csv b/SurgeData/271-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/271-waterlevel_w.csv rename to SurgeData/271-waterlevel_w.csv diff --git a/SurgeData/272-num_storm.csv b/SurgeData/272-num_storm.csv new file mode 100644 index 00000000..9669b9d2 --- /dev/null +++ b/SurgeData/272-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,1.0,4.0 +2022,1.0,6.0 +2023,3.0,3.0 +2024,0.0,2.0 +2025,0.0,2.0 +2026,0.0,4.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,2.0,5.0 +2030,0.0,2.0 +2031,5.0,1.0 +2032,1.0,1.0 +2033,3.0,4.0 +2034,2.0,3.0 +2035,1.0,5.0 +2036,0.0,3.0 +2037,0.0,6.0 +2038,0.0,3.0 +2039,2.0,3.0 +2040,2.0,7.0 +2041,1.0,5.0 +2042,0.0,2.0 +2043,3.0,1.0 +2044,2.0,2.0 +2045,1.0,2.0 +2046,0.0,5.0 +2047,0.0,3.0 +2048,3.0,2.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,2.0,1.0 +2052,0.0,3.0 +2053,1.0,2.0 +2054,1.0,5.0 +2055,1.0,1.0 +2056,1.0,3.0 +2057,2.0,7.0 +2058,5.0,2.0 +2059,0.0,6.0 +2060,5.0,2.0 +2061,2.0,5.0 +2062,1.0,0.0 +2063,2.0,4.0 +2064,7.0,4.0 +2065,2.0,2.0 +2066,2.0,9.0 +2067,2.0,4.0 +2068,0.0,4.0 +2069,4.0,6.0 +2070,2.0,4.0 +2071,3.0,4.0 +2072,2.0,4.0 +2073,2.0,5.0 +2074,0.0,2.0 +2075,5.0,5.0 +2076,1.0,4.0 +2077,2.0,6.0 +2078,2.0,2.0 +2079,4.0,3.0 +2080,2.0,5.0 +2081,0.0,2.0 +2082,2.0,4.0 +2083,1.0,3.0 +2084,2.0,4.0 +2085,0.0,4.0 +2086,3.0,2.0 +2087,2.0,4.0 +2088,3.0,5.0 +2089,0.0,7.0 +2090,3.0,5.0 +2091,1.0,3.0 +2092,3.0,5.0 +2093,1.0,2.0 +2094,1.0,1.0 +2095,2.0,5.0 +2096,3.0,5.0 +2097,4.0,2.0 +2098,5.0,5.0 +2099,1.0,0.0 +2100,3.0,7.0 diff --git a/SurgeData/N=1000/272-peak+year_c.csv b/SurgeData/272-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/272-peak+year_c.csv rename to SurgeData/272-peak+year_c.csv diff --git a/SurgeData/N=1000/272-peak+year_w.csv b/SurgeData/272-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/272-peak+year_w.csv rename to SurgeData/272-peak+year_w.csv diff --git a/SurgeData/N=1000/272-peak_c.csv b/SurgeData/272-peak_c.csv similarity index 100% rename from SurgeData/N=1000/272-peak_c.csv rename to SurgeData/272-peak_c.csv diff --git a/SurgeData/N=1000/272-peak_w.csv b/SurgeData/272-peak_w.csv similarity index 100% rename from SurgeData/N=1000/272-peak_w.csv rename to SurgeData/272-peak_w.csv diff --git a/SurgeData/N=1000/272-surge_c.csv b/SurgeData/272-surge_c.csv similarity index 100% rename from SurgeData/N=1000/272-surge_c.csv rename to SurgeData/272-surge_c.csv diff --git a/SurgeData/N=1000/272-surge_w.csv b/SurgeData/272-surge_w.csv similarity index 100% rename from SurgeData/N=1000/272-surge_w.csv rename to SurgeData/272-surge_w.csv diff --git a/SurgeData/N=1000/272-time_c.csv b/SurgeData/272-time_c.csv similarity index 100% rename from SurgeData/N=1000/272-time_c.csv rename to SurgeData/272-time_c.csv diff --git a/SurgeData/N=1000/272-time_w.csv b/SurgeData/272-time_w.csv similarity index 100% rename from SurgeData/N=1000/272-time_w.csv rename to SurgeData/272-time_w.csv diff --git a/SurgeData/N=1000/272-waterlevel_c.csv b/SurgeData/272-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/272-waterlevel_c.csv rename to SurgeData/272-waterlevel_c.csv diff --git a/SurgeData/N=1000/272-waterlevel_w.csv b/SurgeData/272-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/272-waterlevel_w.csv rename to SurgeData/272-waterlevel_w.csv diff --git a/SurgeData/273-num_storm.csv b/SurgeData/273-num_storm.csv new file mode 100644 index 00000000..0630e195 --- /dev/null +++ b/SurgeData/273-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,3.0,2.0 +2022,6.0,2.0 +2023,0.0,3.0 +2024,0.0,5.0 +2025,1.0,1.0 +2026,3.0,4.0 +2027,2.0,2.0 +2028,1.0,3.0 +2029,1.0,3.0 +2030,4.0,7.0 +2031,4.0,1.0 +2032,0.0,4.0 +2033,3.0,10.0 +2034,2.0,4.0 +2035,3.0,2.0 +2036,1.0,3.0 +2037,2.0,3.0 +2038,3.0,5.0 +2039,1.0,7.0 +2040,3.0,3.0 +2041,0.0,5.0 +2042,1.0,3.0 +2043,0.0,1.0 +2044,1.0,2.0 +2045,2.0,3.0 +2046,1.0,1.0 +2047,3.0,5.0 +2048,1.0,4.0 +2049,1.0,2.0 +2050,1.0,3.0 +2051,2.0,0.0 +2052,0.0,7.0 +2053,0.0,1.0 +2054,2.0,3.0 +2055,4.0,7.0 +2056,1.0,7.0 +2057,0.0,1.0 +2058,3.0,4.0 +2059,1.0,7.0 +2060,4.0,3.0 +2061,2.0,2.0 +2062,2.0,5.0 +2063,4.0,7.0 +2064,1.0,2.0 +2065,3.0,6.0 +2066,2.0,8.0 +2067,0.0,3.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,3.0,1.0 +2071,3.0,2.0 +2072,2.0,2.0 +2073,2.0,3.0 +2074,1.0,2.0 +2075,1.0,3.0 +2076,3.0,5.0 +2077,1.0,6.0 +2078,2.0,6.0 +2079,1.0,4.0 +2080,2.0,4.0 +2081,2.0,6.0 +2082,1.0,4.0 +2083,2.0,3.0 +2084,2.0,4.0 +2085,2.0,4.0 +2086,1.0,4.0 +2087,2.0,8.0 +2088,2.0,4.0 +2089,2.0,8.0 +2090,1.0,4.0 +2091,7.0,3.0 +2092,1.0,4.0 +2093,1.0,4.0 +2094,3.0,2.0 +2095,4.0,6.0 +2096,2.0,5.0 +2097,0.0,4.0 +2098,1.0,7.0 +2099,0.0,4.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/273-peak+year_c.csv b/SurgeData/273-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/273-peak+year_c.csv rename to SurgeData/273-peak+year_c.csv diff --git a/SurgeData/N=1000/273-peak+year_w.csv b/SurgeData/273-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/273-peak+year_w.csv rename to SurgeData/273-peak+year_w.csv diff --git a/SurgeData/N=1000/273-peak_c.csv b/SurgeData/273-peak_c.csv similarity index 100% rename from SurgeData/N=1000/273-peak_c.csv rename to SurgeData/273-peak_c.csv diff --git a/SurgeData/N=1000/273-peak_w.csv b/SurgeData/273-peak_w.csv similarity index 100% rename from SurgeData/N=1000/273-peak_w.csv rename to SurgeData/273-peak_w.csv diff --git a/SurgeData/N=1000/273-surge_c.csv b/SurgeData/273-surge_c.csv similarity index 100% rename from SurgeData/N=1000/273-surge_c.csv rename to SurgeData/273-surge_c.csv diff --git a/SurgeData/N=1000/273-surge_w.csv b/SurgeData/273-surge_w.csv similarity index 100% rename from SurgeData/N=1000/273-surge_w.csv rename to SurgeData/273-surge_w.csv diff --git a/SurgeData/N=1000/273-time_c.csv b/SurgeData/273-time_c.csv similarity index 100% rename from SurgeData/N=1000/273-time_c.csv rename to SurgeData/273-time_c.csv diff --git a/SurgeData/N=1000/273-time_w.csv b/SurgeData/273-time_w.csv similarity index 100% rename from SurgeData/N=1000/273-time_w.csv rename to SurgeData/273-time_w.csv diff --git a/SurgeData/N=1000/273-waterlevel_c.csv b/SurgeData/273-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/273-waterlevel_c.csv rename to SurgeData/273-waterlevel_c.csv diff --git a/SurgeData/N=1000/273-waterlevel_w.csv b/SurgeData/273-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/273-waterlevel_w.csv rename to SurgeData/273-waterlevel_w.csv diff --git a/SurgeData/274-num_storm.csv b/SurgeData/274-num_storm.csv new file mode 100644 index 00000000..6d86d0d7 --- /dev/null +++ b/SurgeData/274-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,6.0 +2021,0.0,4.0 +2022,0.0,6.0 +2023,0.0,5.0 +2024,3.0,6.0 +2025,1.0,7.0 +2026,3.0,3.0 +2027,3.0,5.0 +2028,3.0,4.0 +2029,3.0,3.0 +2030,0.0,5.0 +2031,2.0,3.0 +2032,4.0,4.0 +2033,2.0,4.0 +2034,2.0,1.0 +2035,1.0,4.0 +2036,1.0,5.0 +2037,1.0,3.0 +2038,1.0,5.0 +2039,3.0,4.0 +2040,1.0,2.0 +2041,2.0,6.0 +2042,0.0,1.0 +2043,1.0,6.0 +2044,1.0,6.0 +2045,0.0,6.0 +2046,1.0,2.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,2.0,1.0 +2050,0.0,3.0 +2051,1.0,6.0 +2052,3.0,5.0 +2053,2.0,5.0 +2054,0.0,1.0 +2055,0.0,2.0 +2056,1.0,3.0 +2057,2.0,5.0 +2058,4.0,4.0 +2059,3.0,6.0 +2060,2.0,8.0 +2061,3.0,5.0 +2062,2.0,5.0 +2063,2.0,3.0 +2064,1.0,8.0 +2065,1.0,2.0 +2066,3.0,4.0 +2067,2.0,3.0 +2068,0.0,7.0 +2069,0.0,5.0 +2070,2.0,5.0 +2071,2.0,3.0 +2072,2.0,6.0 +2073,0.0,4.0 +2074,2.0,3.0 +2075,3.0,6.0 +2076,2.0,6.0 +2077,0.0,2.0 +2078,4.0,7.0 +2079,0.0,3.0 +2080,1.0,4.0 +2081,1.0,0.0 +2082,1.0,3.0 +2083,2.0,4.0 +2084,1.0,4.0 +2085,1.0,8.0 +2086,0.0,4.0 +2087,2.0,3.0 +2088,2.0,3.0 +2089,1.0,5.0 +2090,3.0,4.0 +2091,0.0,6.0 +2092,1.0,4.0 +2093,0.0,2.0 +2094,2.0,3.0 +2095,3.0,5.0 +2096,2.0,3.0 +2097,0.0,5.0 +2098,0.0,7.0 +2099,2.0,3.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/274-peak+year_c.csv b/SurgeData/274-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/274-peak+year_c.csv rename to SurgeData/274-peak+year_c.csv diff --git a/SurgeData/N=1000/274-peak+year_w.csv b/SurgeData/274-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/274-peak+year_w.csv rename to SurgeData/274-peak+year_w.csv diff --git a/SurgeData/N=1000/274-peak_c.csv b/SurgeData/274-peak_c.csv similarity index 100% rename from SurgeData/N=1000/274-peak_c.csv rename to SurgeData/274-peak_c.csv diff --git a/SurgeData/N=1000/274-peak_w.csv b/SurgeData/274-peak_w.csv similarity index 100% rename from SurgeData/N=1000/274-peak_w.csv rename to SurgeData/274-peak_w.csv diff --git a/SurgeData/N=1000/274-surge_c.csv b/SurgeData/274-surge_c.csv similarity index 100% rename from SurgeData/N=1000/274-surge_c.csv rename to SurgeData/274-surge_c.csv diff --git a/SurgeData/N=1000/274-surge_w.csv b/SurgeData/274-surge_w.csv similarity index 100% rename from SurgeData/N=1000/274-surge_w.csv rename to SurgeData/274-surge_w.csv diff --git a/SurgeData/N=1000/274-time_c.csv b/SurgeData/274-time_c.csv similarity index 100% rename from SurgeData/N=1000/274-time_c.csv rename to SurgeData/274-time_c.csv diff --git a/SurgeData/N=1000/274-time_w.csv b/SurgeData/274-time_w.csv similarity index 100% rename from SurgeData/N=1000/274-time_w.csv rename to SurgeData/274-time_w.csv diff --git a/SurgeData/N=1000/274-waterlevel_c.csv b/SurgeData/274-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/274-waterlevel_c.csv rename to SurgeData/274-waterlevel_c.csv diff --git a/SurgeData/N=1000/274-waterlevel_w.csv b/SurgeData/274-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/274-waterlevel_w.csv rename to SurgeData/274-waterlevel_w.csv diff --git a/SurgeData/275-num_storm.csv b/SurgeData/275-num_storm.csv new file mode 100644 index 00000000..4c7a76e0 --- /dev/null +++ b/SurgeData/275-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,1.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,3.0,1.0 +2025,2.0,5.0 +2026,2.0,5.0 +2027,1.0,5.0 +2028,1.0,7.0 +2029,2.0,4.0 +2030,2.0,4.0 +2031,2.0,2.0 +2032,1.0,1.0 +2033,2.0,6.0 +2034,2.0,5.0 +2035,1.0,3.0 +2036,1.0,4.0 +2037,0.0,5.0 +2038,2.0,3.0 +2039,2.0,2.0 +2040,3.0,3.0 +2041,1.0,3.0 +2042,1.0,4.0 +2043,0.0,1.0 +2044,2.0,1.0 +2045,0.0,4.0 +2046,0.0,5.0 +2047,0.0,4.0 +2048,2.0,2.0 +2049,1.0,5.0 +2050,3.0,4.0 +2051,1.0,4.0 +2052,4.0,5.0 +2053,1.0,2.0 +2054,1.0,3.0 +2055,0.0,5.0 +2056,0.0,7.0 +2057,1.0,4.0 +2058,0.0,5.0 +2059,0.0,5.0 +2060,3.0,4.0 +2061,4.0,6.0 +2062,2.0,0.0 +2063,0.0,1.0 +2064,0.0,3.0 +2065,2.0,2.0 +2066,3.0,5.0 +2067,1.0,6.0 +2068,4.0,6.0 +2069,0.0,5.0 +2070,2.0,2.0 +2071,4.0,4.0 +2072,0.0,2.0 +2073,1.0,5.0 +2074,1.0,1.0 +2075,2.0,4.0 +2076,2.0,8.0 +2077,3.0,4.0 +2078,2.0,10.0 +2079,1.0,4.0 +2080,2.0,5.0 +2081,0.0,6.0 +2082,2.0,5.0 +2083,1.0,1.0 +2084,2.0,12.0 +2085,2.0,3.0 +2086,2.0,4.0 +2087,1.0,2.0 +2088,4.0,4.0 +2089,0.0,6.0 +2090,1.0,2.0 +2091,1.0,2.0 +2092,1.0,7.0 +2093,0.0,5.0 +2094,1.0,2.0 +2095,2.0,6.0 +2096,1.0,2.0 +2097,1.0,4.0 +2098,2.0,2.0 +2099,1.0,0.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/275-peak+year_c.csv b/SurgeData/275-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/275-peak+year_c.csv rename to SurgeData/275-peak+year_c.csv diff --git a/SurgeData/N=1000/275-peak+year_w.csv b/SurgeData/275-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/275-peak+year_w.csv rename to SurgeData/275-peak+year_w.csv diff --git a/SurgeData/N=1000/275-peak_c.csv b/SurgeData/275-peak_c.csv similarity index 100% rename from SurgeData/N=1000/275-peak_c.csv rename to SurgeData/275-peak_c.csv diff --git a/SurgeData/N=1000/275-peak_w.csv b/SurgeData/275-peak_w.csv similarity index 100% rename from SurgeData/N=1000/275-peak_w.csv rename to SurgeData/275-peak_w.csv diff --git a/SurgeData/N=1000/275-surge_c.csv b/SurgeData/275-surge_c.csv similarity index 100% rename from SurgeData/N=1000/275-surge_c.csv rename to SurgeData/275-surge_c.csv diff --git a/SurgeData/N=1000/275-surge_w.csv b/SurgeData/275-surge_w.csv similarity index 100% rename from SurgeData/N=1000/275-surge_w.csv rename to SurgeData/275-surge_w.csv diff --git a/SurgeData/N=1000/275-time_c.csv b/SurgeData/275-time_c.csv similarity index 100% rename from SurgeData/N=1000/275-time_c.csv rename to SurgeData/275-time_c.csv diff --git a/SurgeData/N=1000/275-time_w.csv b/SurgeData/275-time_w.csv similarity index 100% rename from SurgeData/N=1000/275-time_w.csv rename to SurgeData/275-time_w.csv diff --git a/SurgeData/N=1000/275-waterlevel_c.csv b/SurgeData/275-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/275-waterlevel_c.csv rename to SurgeData/275-waterlevel_c.csv diff --git a/SurgeData/N=1000/275-waterlevel_w.csv b/SurgeData/275-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/275-waterlevel_w.csv rename to SurgeData/275-waterlevel_w.csv diff --git a/SurgeData/N=1000/276-peak+year_c.csv b/SurgeData/276-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/276-peak+year_c.csv rename to SurgeData/276-peak+year_c.csv diff --git a/SurgeData/N=1000/276-peak+year_w.csv b/SurgeData/276-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/276-peak+year_w.csv rename to SurgeData/276-peak+year_w.csv diff --git a/SurgeData/N=1000/276-peak_c.csv b/SurgeData/276-peak_c.csv similarity index 100% rename from SurgeData/N=1000/276-peak_c.csv rename to SurgeData/276-peak_c.csv diff --git a/SurgeData/N=1000/276-peak_w.csv b/SurgeData/276-peak_w.csv similarity index 100% rename from SurgeData/N=1000/276-peak_w.csv rename to SurgeData/276-peak_w.csv diff --git a/SurgeData/N=1000/276-surge_c.csv b/SurgeData/276-surge_c.csv similarity index 100% rename from SurgeData/N=1000/276-surge_c.csv rename to SurgeData/276-surge_c.csv diff --git a/SurgeData/N=1000/276-surge_w.csv b/SurgeData/276-surge_w.csv similarity index 100% rename from SurgeData/N=1000/276-surge_w.csv rename to SurgeData/276-surge_w.csv diff --git a/SurgeData/N=1000/276-time_c.csv b/SurgeData/276-time_c.csv similarity index 100% rename from SurgeData/N=1000/276-time_c.csv rename to SurgeData/276-time_c.csv diff --git a/SurgeData/N=1000/276-time_w.csv b/SurgeData/276-time_w.csv similarity index 100% rename from SurgeData/N=1000/276-time_w.csv rename to SurgeData/276-time_w.csv diff --git a/SurgeData/N=1000/276-waterlevel_c.csv b/SurgeData/276-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/276-waterlevel_c.csv rename to SurgeData/276-waterlevel_c.csv diff --git a/SurgeData/N=1000/276-waterlevel_w.csv b/SurgeData/276-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/276-waterlevel_w.csv rename to SurgeData/276-waterlevel_w.csv diff --git a/SurgeData/277-num_storm.csv b/SurgeData/277-num_storm.csv new file mode 100644 index 00000000..59ebc339 --- /dev/null +++ b/SurgeData/277-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,5.0 +2022,1.0,4.0 +2023,3.0,8.0 +2024,2.0,3.0 +2025,1.0,5.0 +2026,0.0,5.0 +2027,0.0,8.0 +2028,0.0,4.0 +2029,3.0,1.0 +2030,2.0,4.0 +2031,1.0,7.0 +2032,0.0,8.0 +2033,2.0,6.0 +2034,0.0,2.0 +2035,1.0,3.0 +2036,3.0,2.0 +2037,2.0,7.0 +2038,0.0,5.0 +2039,0.0,1.0 +2040,1.0,3.0 +2041,0.0,3.0 +2042,4.0,5.0 +2043,0.0,3.0 +2044,0.0,4.0 +2045,0.0,3.0 +2046,2.0,6.0 +2047,2.0,2.0 +2048,1.0,2.0 +2049,3.0,4.0 +2050,4.0,1.0 +2051,0.0,0.0 +2052,1.0,4.0 +2053,0.0,4.0 +2054,1.0,2.0 +2055,0.0,5.0 +2056,2.0,9.0 +2057,3.0,5.0 +2058,4.0,3.0 +2059,2.0,1.0 +2060,2.0,7.0 +2061,2.0,5.0 +2062,2.0,6.0 +2063,0.0,2.0 +2064,2.0,3.0 +2065,3.0,8.0 +2066,0.0,4.0 +2067,1.0,2.0 +2068,1.0,2.0 +2069,3.0,4.0 +2070,2.0,7.0 +2071,1.0,4.0 +2072,1.0,8.0 +2073,2.0,7.0 +2074,2.0,5.0 +2075,1.0,3.0 +2076,1.0,3.0 +2077,1.0,7.0 +2078,1.0,5.0 +2079,5.0,4.0 +2080,1.0,5.0 +2081,1.0,3.0 +2082,2.0,3.0 +2083,3.0,2.0 +2084,1.0,5.0 +2085,1.0,6.0 +2086,4.0,3.0 +2087,1.0,4.0 +2088,1.0,9.0 +2089,2.0,6.0 +2090,1.0,5.0 +2091,0.0,5.0 +2092,1.0,3.0 +2093,3.0,6.0 +2094,2.0,4.0 +2095,5.0,5.0 +2096,0.0,3.0 +2097,2.0,4.0 +2098,3.0,3.0 +2099,2.0,4.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/277-peak+year_c.csv b/SurgeData/277-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/277-peak+year_c.csv rename to SurgeData/277-peak+year_c.csv diff --git a/SurgeData/N=1000/277-peak+year_w.csv b/SurgeData/277-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/277-peak+year_w.csv rename to SurgeData/277-peak+year_w.csv diff --git a/SurgeData/N=1000/277-peak_c.csv b/SurgeData/277-peak_c.csv similarity index 100% rename from SurgeData/N=1000/277-peak_c.csv rename to SurgeData/277-peak_c.csv diff --git a/SurgeData/N=1000/277-peak_w.csv b/SurgeData/277-peak_w.csv similarity index 100% rename from SurgeData/N=1000/277-peak_w.csv rename to SurgeData/277-peak_w.csv diff --git a/SurgeData/N=1000/277-surge_c.csv b/SurgeData/277-surge_c.csv similarity index 100% rename from SurgeData/N=1000/277-surge_c.csv rename to SurgeData/277-surge_c.csv diff --git a/SurgeData/N=1000/277-surge_w.csv b/SurgeData/277-surge_w.csv similarity index 100% rename from SurgeData/N=1000/277-surge_w.csv rename to SurgeData/277-surge_w.csv diff --git a/SurgeData/N=1000/277-time_c.csv b/SurgeData/277-time_c.csv similarity index 100% rename from SurgeData/N=1000/277-time_c.csv rename to SurgeData/277-time_c.csv diff --git a/SurgeData/N=1000/277-time_w.csv b/SurgeData/277-time_w.csv similarity index 100% rename from SurgeData/N=1000/277-time_w.csv rename to SurgeData/277-time_w.csv diff --git a/SurgeData/N=1000/277-waterlevel_c.csv b/SurgeData/277-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/277-waterlevel_c.csv rename to SurgeData/277-waterlevel_c.csv diff --git a/SurgeData/N=1000/277-waterlevel_w.csv b/SurgeData/277-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/277-waterlevel_w.csv rename to SurgeData/277-waterlevel_w.csv diff --git a/SurgeData/N=1000/278-peak+year_c.csv b/SurgeData/278-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/278-peak+year_c.csv rename to SurgeData/278-peak+year_c.csv diff --git a/SurgeData/N=1000/278-peak+year_w.csv b/SurgeData/278-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/278-peak+year_w.csv rename to SurgeData/278-peak+year_w.csv diff --git a/SurgeData/N=1000/278-peak_c.csv b/SurgeData/278-peak_c.csv similarity index 100% rename from SurgeData/N=1000/278-peak_c.csv rename to SurgeData/278-peak_c.csv diff --git a/SurgeData/N=1000/278-peak_w.csv b/SurgeData/278-peak_w.csv similarity index 100% rename from SurgeData/N=1000/278-peak_w.csv rename to SurgeData/278-peak_w.csv diff --git a/SurgeData/N=1000/278-surge_c.csv b/SurgeData/278-surge_c.csv similarity index 100% rename from SurgeData/N=1000/278-surge_c.csv rename to SurgeData/278-surge_c.csv diff --git a/SurgeData/N=1000/278-surge_w.csv b/SurgeData/278-surge_w.csv similarity index 100% rename from SurgeData/N=1000/278-surge_w.csv rename to SurgeData/278-surge_w.csv diff --git a/SurgeData/N=1000/278-time_c.csv b/SurgeData/278-time_c.csv similarity index 100% rename from SurgeData/N=1000/278-time_c.csv rename to SurgeData/278-time_c.csv diff --git a/SurgeData/N=1000/278-time_w.csv b/SurgeData/278-time_w.csv similarity index 100% rename from SurgeData/N=1000/278-time_w.csv rename to SurgeData/278-time_w.csv diff --git a/SurgeData/N=1000/278-waterlevel_c.csv b/SurgeData/278-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/278-waterlevel_c.csv rename to SurgeData/278-waterlevel_c.csv diff --git a/SurgeData/N=1000/278-waterlevel_w.csv b/SurgeData/278-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/278-waterlevel_w.csv rename to SurgeData/278-waterlevel_w.csv diff --git a/SurgeData/279-num_storm.csv b/SurgeData/279-num_storm.csv new file mode 100644 index 00000000..c43aa9f2 --- /dev/null +++ b/SurgeData/279-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,2.0,2.0 +2022,2.0,5.0 +2023,1.0,3.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,0.0,4.0 +2027,3.0,6.0 +2028,1.0,6.0 +2029,1.0,3.0 +2030,0.0,1.0 +2031,1.0,6.0 +2032,1.0,3.0 +2033,0.0,7.0 +2034,1.0,2.0 +2035,2.0,4.0 +2036,1.0,6.0 +2037,2.0,3.0 +2038,1.0,3.0 +2039,3.0,7.0 +2040,0.0,9.0 +2041,1.0,3.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,2.0,5.0 +2046,2.0,6.0 +2047,3.0,1.0 +2048,2.0,3.0 +2049,0.0,4.0 +2050,1.0,4.0 +2051,2.0,1.0 +2052,4.0,4.0 +2053,3.0,7.0 +2054,2.0,4.0 +2055,0.0,4.0 +2056,0.0,2.0 +2057,2.0,4.0 +2058,0.0,4.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,0.0,4.0 +2062,2.0,3.0 +2063,1.0,3.0 +2064,2.0,2.0 +2065,2.0,5.0 +2066,2.0,3.0 +2067,3.0,5.0 +2068,1.0,4.0 +2069,3.0,9.0 +2070,1.0,6.0 +2071,0.0,7.0 +2072,2.0,3.0 +2073,2.0,6.0 +2074,2.0,2.0 +2075,3.0,6.0 +2076,1.0,2.0 +2077,2.0,2.0 +2078,2.0,2.0 +2079,1.0,3.0 +2080,2.0,6.0 +2081,2.0,0.0 +2082,2.0,3.0 +2083,0.0,6.0 +2084,2.0,1.0 +2085,0.0,3.0 +2086,1.0,4.0 +2087,1.0,9.0 +2088,1.0,3.0 +2089,2.0,4.0 +2090,2.0,1.0 +2091,0.0,4.0 +2092,4.0,4.0 +2093,3.0,3.0 +2094,1.0,6.0 +2095,0.0,7.0 +2096,1.0,3.0 +2097,3.0,2.0 +2098,1.0,6.0 +2099,1.0,4.0 +2100,0.0,9.0 diff --git a/SurgeData/N=1000/279-peak+year_c.csv b/SurgeData/279-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/279-peak+year_c.csv rename to SurgeData/279-peak+year_c.csv diff --git a/SurgeData/N=1000/279-peak+year_w.csv b/SurgeData/279-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/279-peak+year_w.csv rename to SurgeData/279-peak+year_w.csv diff --git a/SurgeData/N=1000/279-peak_c.csv b/SurgeData/279-peak_c.csv similarity index 100% rename from SurgeData/N=1000/279-peak_c.csv rename to SurgeData/279-peak_c.csv diff --git a/SurgeData/N=1000/279-peak_w.csv b/SurgeData/279-peak_w.csv similarity index 100% rename from SurgeData/N=1000/279-peak_w.csv rename to SurgeData/279-peak_w.csv diff --git a/SurgeData/N=1000/279-surge_c.csv b/SurgeData/279-surge_c.csv similarity index 100% rename from SurgeData/N=1000/279-surge_c.csv rename to SurgeData/279-surge_c.csv diff --git a/SurgeData/N=1000/279-surge_w.csv b/SurgeData/279-surge_w.csv similarity index 100% rename from SurgeData/N=1000/279-surge_w.csv rename to SurgeData/279-surge_w.csv diff --git a/SurgeData/N=1000/279-time_c.csv b/SurgeData/279-time_c.csv similarity index 100% rename from SurgeData/N=1000/279-time_c.csv rename to SurgeData/279-time_c.csv diff --git a/SurgeData/N=1000/279-time_w.csv b/SurgeData/279-time_w.csv similarity index 100% rename from SurgeData/N=1000/279-time_w.csv rename to SurgeData/279-time_w.csv diff --git a/SurgeData/N=1000/279-waterlevel_c.csv b/SurgeData/279-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/279-waterlevel_c.csv rename to SurgeData/279-waterlevel_c.csv diff --git a/SurgeData/N=1000/279-waterlevel_w.csv b/SurgeData/279-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/279-waterlevel_w.csv rename to SurgeData/279-waterlevel_w.csv diff --git a/SurgeData/28-num_storm.csv b/SurgeData/28-num_storm.csv new file mode 100644 index 00000000..1032dce3 --- /dev/null +++ b/SurgeData/28-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,1.0 +2021,1.0,5.0 +2022,3.0,0.0 +2023,2.0,6.0 +2024,1.0,6.0 +2025,3.0,3.0 +2026,2.0,8.0 +2027,3.0,3.0 +2028,4.0,4.0 +2029,3.0,6.0 +2030,4.0,5.0 +2031,3.0,6.0 +2032,2.0,4.0 +2033,1.0,4.0 +2034,1.0,2.0 +2035,0.0,6.0 +2036,1.0,4.0 +2037,1.0,6.0 +2038,3.0,1.0 +2039,1.0,6.0 +2040,2.0,7.0 +2041,2.0,2.0 +2042,2.0,4.0 +2043,4.0,3.0 +2044,2.0,4.0 +2045,5.0,4.0 +2046,2.0,4.0 +2047,2.0,4.0 +2048,2.0,4.0 +2049,3.0,5.0 +2050,1.0,5.0 +2051,0.0,3.0 +2052,0.0,2.0 +2053,3.0,5.0 +2054,1.0,5.0 +2055,2.0,5.0 +2056,0.0,5.0 +2057,1.0,2.0 +2058,2.0,8.0 +2059,0.0,4.0 +2060,1.0,4.0 +2061,0.0,3.0 +2062,1.0,2.0 +2063,1.0,5.0 +2064,2.0,5.0 +2065,2.0,5.0 +2066,2.0,7.0 +2067,3.0,5.0 +2068,1.0,2.0 +2069,0.0,4.0 +2070,2.0,2.0 +2071,1.0,9.0 +2072,2.0,7.0 +2073,3.0,5.0 +2074,3.0,5.0 +2075,2.0,4.0 +2076,3.0,4.0 +2077,0.0,7.0 +2078,2.0,5.0 +2079,2.0,1.0 +2080,0.0,2.0 +2081,1.0,6.0 +2082,2.0,2.0 +2083,3.0,6.0 +2084,0.0,5.0 +2085,1.0,8.0 +2086,0.0,1.0 +2087,0.0,3.0 +2088,3.0,3.0 +2089,2.0,6.0 +2090,1.0,2.0 +2091,4.0,3.0 +2092,1.0,4.0 +2093,1.0,2.0 +2094,0.0,3.0 +2095,1.0,3.0 +2096,3.0,3.0 +2097,1.0,6.0 +2098,2.0,2.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/28-peak+year_c.csv b/SurgeData/28-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/28-peak+year_c.csv rename to SurgeData/28-peak+year_c.csv diff --git a/SurgeData/N=1000/28-peak+year_w.csv b/SurgeData/28-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/28-peak+year_w.csv rename to SurgeData/28-peak+year_w.csv diff --git a/SurgeData/N=1000/28-peak_c.csv b/SurgeData/28-peak_c.csv similarity index 100% rename from SurgeData/N=1000/28-peak_c.csv rename to SurgeData/28-peak_c.csv diff --git a/SurgeData/N=1000/28-peak_w.csv b/SurgeData/28-peak_w.csv similarity index 100% rename from SurgeData/N=1000/28-peak_w.csv rename to SurgeData/28-peak_w.csv diff --git a/SurgeData/N=1000/28-surge_c.csv b/SurgeData/28-surge_c.csv similarity index 100% rename from SurgeData/N=1000/28-surge_c.csv rename to SurgeData/28-surge_c.csv diff --git a/SurgeData/N=1000/28-surge_w.csv b/SurgeData/28-surge_w.csv similarity index 100% rename from SurgeData/N=1000/28-surge_w.csv rename to SurgeData/28-surge_w.csv diff --git a/SurgeData/N=1000/28-time_c.csv b/SurgeData/28-time_c.csv similarity index 100% rename from SurgeData/N=1000/28-time_c.csv rename to SurgeData/28-time_c.csv diff --git a/SurgeData/N=1000/28-time_w.csv b/SurgeData/28-time_w.csv similarity index 100% rename from SurgeData/N=1000/28-time_w.csv rename to SurgeData/28-time_w.csv diff --git a/SurgeData/N=1000/28-waterlevel_c.csv b/SurgeData/28-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/28-waterlevel_c.csv rename to SurgeData/28-waterlevel_c.csv diff --git a/SurgeData/N=1000/28-waterlevel_w.csv b/SurgeData/28-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/28-waterlevel_w.csv rename to SurgeData/28-waterlevel_w.csv diff --git a/SurgeData/280-num_storm.csv b/SurgeData/280-num_storm.csv new file mode 100644 index 00000000..5680ae9c --- /dev/null +++ b/SurgeData/280-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,7.0 +2022,1.0,2.0 +2023,0.0,4.0 +2024,2.0,5.0 +2025,0.0,5.0 +2026,1.0,6.0 +2027,1.0,0.0 +2028,3.0,7.0 +2029,0.0,4.0 +2030,0.0,1.0 +2031,0.0,4.0 +2032,0.0,3.0 +2033,1.0,2.0 +2034,1.0,6.0 +2035,1.0,5.0 +2036,3.0,3.0 +2037,1.0,4.0 +2038,1.0,5.0 +2039,0.0,9.0 +2040,2.0,3.0 +2041,1.0,8.0 +2042,3.0,5.0 +2043,2.0,4.0 +2044,5.0,5.0 +2045,1.0,1.0 +2046,1.0,5.0 +2047,2.0,4.0 +2048,1.0,5.0 +2049,0.0,5.0 +2050,1.0,7.0 +2051,1.0,3.0 +2052,1.0,2.0 +2053,0.0,4.0 +2054,2.0,3.0 +2055,2.0,4.0 +2056,1.0,4.0 +2057,1.0,1.0 +2058,1.0,6.0 +2059,1.0,6.0 +2060,3.0,3.0 +2061,1.0,6.0 +2062,0.0,5.0 +2063,2.0,6.0 +2064,2.0,4.0 +2065,1.0,2.0 +2066,1.0,6.0 +2067,1.0,3.0 +2068,3.0,5.0 +2069,1.0,0.0 +2070,0.0,6.0 +2071,0.0,1.0 +2072,2.0,4.0 +2073,3.0,2.0 +2074,3.0,5.0 +2075,3.0,6.0 +2076,2.0,5.0 +2077,0.0,4.0 +2078,1.0,3.0 +2079,2.0,2.0 +2080,3.0,3.0 +2081,1.0,5.0 +2082,2.0,5.0 +2083,1.0,5.0 +2084,2.0,6.0 +2085,0.0,6.0 +2086,2.0,3.0 +2087,0.0,5.0 +2088,2.0,2.0 +2089,3.0,4.0 +2090,1.0,2.0 +2091,0.0,6.0 +2092,4.0,4.0 +2093,1.0,4.0 +2094,1.0,6.0 +2095,0.0,5.0 +2096,1.0,3.0 +2097,1.0,4.0 +2098,1.0,1.0 +2099,3.0,6.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/280-peak+year_c.csv b/SurgeData/280-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/280-peak+year_c.csv rename to SurgeData/280-peak+year_c.csv diff --git a/SurgeData/N=1000/280-peak+year_w.csv b/SurgeData/280-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/280-peak+year_w.csv rename to SurgeData/280-peak+year_w.csv diff --git a/SurgeData/N=1000/280-peak_c.csv b/SurgeData/280-peak_c.csv similarity index 100% rename from SurgeData/N=1000/280-peak_c.csv rename to SurgeData/280-peak_c.csv diff --git a/SurgeData/N=1000/280-peak_w.csv b/SurgeData/280-peak_w.csv similarity index 100% rename from SurgeData/N=1000/280-peak_w.csv rename to SurgeData/280-peak_w.csv diff --git a/SurgeData/N=1000/280-surge_c.csv b/SurgeData/280-surge_c.csv similarity index 100% rename from SurgeData/N=1000/280-surge_c.csv rename to SurgeData/280-surge_c.csv diff --git a/SurgeData/N=1000/280-surge_w.csv b/SurgeData/280-surge_w.csv similarity index 100% rename from SurgeData/N=1000/280-surge_w.csv rename to SurgeData/280-surge_w.csv diff --git a/SurgeData/N=1000/280-time_c.csv b/SurgeData/280-time_c.csv similarity index 100% rename from SurgeData/N=1000/280-time_c.csv rename to SurgeData/280-time_c.csv diff --git a/SurgeData/N=1000/280-time_w.csv b/SurgeData/280-time_w.csv similarity index 100% rename from SurgeData/N=1000/280-time_w.csv rename to SurgeData/280-time_w.csv diff --git a/SurgeData/N=1000/280-waterlevel_c.csv b/SurgeData/280-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/280-waterlevel_c.csv rename to SurgeData/280-waterlevel_c.csv diff --git a/SurgeData/N=1000/280-waterlevel_w.csv b/SurgeData/280-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/280-waterlevel_w.csv rename to SurgeData/280-waterlevel_w.csv diff --git a/SurgeData/281-num_storm.csv b/SurgeData/281-num_storm.csv new file mode 100644 index 00000000..179890ea --- /dev/null +++ b/SurgeData/281-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,0.0,4.0 +2022,3.0,5.0 +2023,1.0,5.0 +2024,1.0,9.0 +2025,1.0,2.0 +2026,4.0,5.0 +2027,2.0,4.0 +2028,4.0,4.0 +2029,0.0,3.0 +2030,5.0,7.0 +2031,3.0,6.0 +2032,2.0,2.0 +2033,3.0,2.0 +2034,1.0,2.0 +2035,0.0,5.0 +2036,0.0,9.0 +2037,3.0,5.0 +2038,1.0,4.0 +2039,3.0,4.0 +2040,1.0,1.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,1.0,3.0 +2044,3.0,3.0 +2045,2.0,8.0 +2046,1.0,8.0 +2047,0.0,9.0 +2048,1.0,4.0 +2049,2.0,4.0 +2050,0.0,6.0 +2051,0.0,2.0 +2052,2.0,4.0 +2053,3.0,7.0 +2054,3.0,2.0 +2055,1.0,6.0 +2056,5.0,5.0 +2057,0.0,5.0 +2058,2.0,8.0 +2059,1.0,1.0 +2060,1.0,6.0 +2061,0.0,3.0 +2062,1.0,5.0 +2063,3.0,3.0 +2064,2.0,2.0 +2065,1.0,3.0 +2066,3.0,3.0 +2067,4.0,3.0 +2068,2.0,4.0 +2069,1.0,4.0 +2070,2.0,2.0 +2071,2.0,6.0 +2072,1.0,5.0 +2073,2.0,3.0 +2074,2.0,2.0 +2075,2.0,1.0 +2076,2.0,6.0 +2077,2.0,3.0 +2078,1.0,6.0 +2079,1.0,4.0 +2080,2.0,6.0 +2081,3.0,3.0 +2082,1.0,5.0 +2083,0.0,1.0 +2084,0.0,2.0 +2085,0.0,3.0 +2086,0.0,4.0 +2087,5.0,5.0 +2088,1.0,5.0 +2089,0.0,3.0 +2090,1.0,3.0 +2091,2.0,4.0 +2092,3.0,3.0 +2093,0.0,6.0 +2094,0.0,4.0 +2095,4.0,4.0 +2096,1.0,6.0 +2097,1.0,2.0 +2098,4.0,4.0 +2099,3.0,5.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/281-peak+year_c.csv b/SurgeData/281-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/281-peak+year_c.csv rename to SurgeData/281-peak+year_c.csv diff --git a/SurgeData/N=1000/281-peak+year_w.csv b/SurgeData/281-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/281-peak+year_w.csv rename to SurgeData/281-peak+year_w.csv diff --git a/SurgeData/N=1000/281-peak_c.csv b/SurgeData/281-peak_c.csv similarity index 100% rename from SurgeData/N=1000/281-peak_c.csv rename to SurgeData/281-peak_c.csv diff --git a/SurgeData/N=1000/281-peak_w.csv b/SurgeData/281-peak_w.csv similarity index 100% rename from SurgeData/N=1000/281-peak_w.csv rename to SurgeData/281-peak_w.csv diff --git a/SurgeData/N=1000/281-surge_c.csv b/SurgeData/281-surge_c.csv similarity index 100% rename from SurgeData/N=1000/281-surge_c.csv rename to SurgeData/281-surge_c.csv diff --git a/SurgeData/N=1000/281-surge_w.csv b/SurgeData/281-surge_w.csv similarity index 100% rename from SurgeData/N=1000/281-surge_w.csv rename to SurgeData/281-surge_w.csv diff --git a/SurgeData/N=1000/281-time_c.csv b/SurgeData/281-time_c.csv similarity index 100% rename from SurgeData/N=1000/281-time_c.csv rename to SurgeData/281-time_c.csv diff --git a/SurgeData/N=1000/281-time_w.csv b/SurgeData/281-time_w.csv similarity index 100% rename from SurgeData/N=1000/281-time_w.csv rename to SurgeData/281-time_w.csv diff --git a/SurgeData/N=1000/281-waterlevel_c.csv b/SurgeData/281-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/281-waterlevel_c.csv rename to SurgeData/281-waterlevel_c.csv diff --git a/SurgeData/N=1000/281-waterlevel_w.csv b/SurgeData/281-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/281-waterlevel_w.csv rename to SurgeData/281-waterlevel_w.csv diff --git a/SurgeData/N=1000/282-peak+year_c.csv b/SurgeData/282-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/282-peak+year_c.csv rename to SurgeData/282-peak+year_c.csv diff --git a/SurgeData/N=1000/282-peak+year_w.csv b/SurgeData/282-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/282-peak+year_w.csv rename to SurgeData/282-peak+year_w.csv diff --git a/SurgeData/N=1000/282-peak_c.csv b/SurgeData/282-peak_c.csv similarity index 100% rename from SurgeData/N=1000/282-peak_c.csv rename to SurgeData/282-peak_c.csv diff --git a/SurgeData/N=1000/282-peak_w.csv b/SurgeData/282-peak_w.csv similarity index 100% rename from SurgeData/N=1000/282-peak_w.csv rename to SurgeData/282-peak_w.csv diff --git a/SurgeData/N=1000/282-surge_c.csv b/SurgeData/282-surge_c.csv similarity index 100% rename from SurgeData/N=1000/282-surge_c.csv rename to SurgeData/282-surge_c.csv diff --git a/SurgeData/N=1000/282-surge_w.csv b/SurgeData/282-surge_w.csv similarity index 100% rename from SurgeData/N=1000/282-surge_w.csv rename to SurgeData/282-surge_w.csv diff --git a/SurgeData/N=1000/282-time_c.csv b/SurgeData/282-time_c.csv similarity index 100% rename from SurgeData/N=1000/282-time_c.csv rename to SurgeData/282-time_c.csv diff --git a/SurgeData/N=1000/282-time_w.csv b/SurgeData/282-time_w.csv similarity index 100% rename from SurgeData/N=1000/282-time_w.csv rename to SurgeData/282-time_w.csv diff --git a/SurgeData/N=1000/282-waterlevel_c.csv b/SurgeData/282-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/282-waterlevel_c.csv rename to SurgeData/282-waterlevel_c.csv diff --git a/SurgeData/N=1000/282-waterlevel_w.csv b/SurgeData/282-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/282-waterlevel_w.csv rename to SurgeData/282-waterlevel_w.csv diff --git a/SurgeData/N=1000/283-peak+year_c.csv b/SurgeData/283-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/283-peak+year_c.csv rename to SurgeData/283-peak+year_c.csv diff --git a/SurgeData/N=1000/283-peak+year_w.csv b/SurgeData/283-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/283-peak+year_w.csv rename to SurgeData/283-peak+year_w.csv diff --git a/SurgeData/N=1000/283-peak_c.csv b/SurgeData/283-peak_c.csv similarity index 100% rename from SurgeData/N=1000/283-peak_c.csv rename to SurgeData/283-peak_c.csv diff --git a/SurgeData/N=1000/283-peak_w.csv b/SurgeData/283-peak_w.csv similarity index 100% rename from SurgeData/N=1000/283-peak_w.csv rename to SurgeData/283-peak_w.csv diff --git a/SurgeData/N=1000/283-surge_c.csv b/SurgeData/283-surge_c.csv similarity index 100% rename from SurgeData/N=1000/283-surge_c.csv rename to SurgeData/283-surge_c.csv diff --git a/SurgeData/N=1000/283-surge_w.csv b/SurgeData/283-surge_w.csv similarity index 100% rename from SurgeData/N=1000/283-surge_w.csv rename to SurgeData/283-surge_w.csv diff --git a/SurgeData/N=1000/283-time_c.csv b/SurgeData/283-time_c.csv similarity index 100% rename from SurgeData/N=1000/283-time_c.csv rename to SurgeData/283-time_c.csv diff --git a/SurgeData/N=1000/283-time_w.csv b/SurgeData/283-time_w.csv similarity index 100% rename from SurgeData/N=1000/283-time_w.csv rename to SurgeData/283-time_w.csv diff --git a/SurgeData/N=1000/283-waterlevel_c.csv b/SurgeData/283-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/283-waterlevel_c.csv rename to SurgeData/283-waterlevel_c.csv diff --git a/SurgeData/N=1000/283-waterlevel_w.csv b/SurgeData/283-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/283-waterlevel_w.csv rename to SurgeData/283-waterlevel_w.csv diff --git a/SurgeData/284-num_storm.csv b/SurgeData/284-num_storm.csv new file mode 100644 index 00000000..e76711dd --- /dev/null +++ b/SurgeData/284-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,7.0 +2022,2.0,3.0 +2023,2.0,8.0 +2024,1.0,1.0 +2025,2.0,5.0 +2026,0.0,6.0 +2027,1.0,1.0 +2028,3.0,1.0 +2029,1.0,5.0 +2030,3.0,2.0 +2031,2.0,4.0 +2032,0.0,3.0 +2033,0.0,4.0 +2034,4.0,2.0 +2035,2.0,5.0 +2036,0.0,2.0 +2037,1.0,3.0 +2038,2.0,2.0 +2039,1.0,4.0 +2040,0.0,9.0 +2041,0.0,4.0 +2042,1.0,4.0 +2043,0.0,4.0 +2044,1.0,3.0 +2045,1.0,4.0 +2046,3.0,7.0 +2047,0.0,4.0 +2048,0.0,3.0 +2049,0.0,4.0 +2050,2.0,6.0 +2051,2.0,3.0 +2052,0.0,2.0 +2053,0.0,4.0 +2054,1.0,2.0 +2055,1.0,4.0 +2056,0.0,4.0 +2057,2.0,5.0 +2058,2.0,2.0 +2059,3.0,3.0 +2060,1.0,7.0 +2061,1.0,1.0 +2062,1.0,7.0 +2063,1.0,5.0 +2064,0.0,5.0 +2065,2.0,2.0 +2066,0.0,6.0 +2067,2.0,8.0 +2068,3.0,3.0 +2069,0.0,2.0 +2070,0.0,5.0 +2071,1.0,3.0 +2072,0.0,3.0 +2073,2.0,5.0 +2074,1.0,4.0 +2075,3.0,2.0 +2076,0.0,9.0 +2077,2.0,3.0 +2078,1.0,5.0 +2079,0.0,2.0 +2080,1.0,7.0 +2081,1.0,5.0 +2082,1.0,4.0 +2083,2.0,2.0 +2084,1.0,6.0 +2085,0.0,3.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,1.0,5.0 +2089,0.0,1.0 +2090,0.0,6.0 +2091,0.0,6.0 +2092,1.0,5.0 +2093,0.0,9.0 +2094,2.0,6.0 +2095,1.0,1.0 +2096,3.0,6.0 +2097,2.0,6.0 +2098,4.0,7.0 +2099,5.0,7.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/284-peak+year_c.csv b/SurgeData/284-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/284-peak+year_c.csv rename to SurgeData/284-peak+year_c.csv diff --git a/SurgeData/N=1000/284-peak+year_w.csv b/SurgeData/284-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/284-peak+year_w.csv rename to SurgeData/284-peak+year_w.csv diff --git a/SurgeData/N=1000/284-peak_c.csv b/SurgeData/284-peak_c.csv similarity index 100% rename from SurgeData/N=1000/284-peak_c.csv rename to SurgeData/284-peak_c.csv diff --git a/SurgeData/N=1000/284-peak_w.csv b/SurgeData/284-peak_w.csv similarity index 100% rename from SurgeData/N=1000/284-peak_w.csv rename to SurgeData/284-peak_w.csv diff --git a/SurgeData/N=1000/284-surge_c.csv b/SurgeData/284-surge_c.csv similarity index 100% rename from SurgeData/N=1000/284-surge_c.csv rename to SurgeData/284-surge_c.csv diff --git a/SurgeData/N=1000/284-surge_w.csv b/SurgeData/284-surge_w.csv similarity index 100% rename from SurgeData/N=1000/284-surge_w.csv rename to SurgeData/284-surge_w.csv diff --git a/SurgeData/N=1000/284-time_c.csv b/SurgeData/284-time_c.csv similarity index 100% rename from SurgeData/N=1000/284-time_c.csv rename to SurgeData/284-time_c.csv diff --git a/SurgeData/N=1000/284-time_w.csv b/SurgeData/284-time_w.csv similarity index 100% rename from SurgeData/N=1000/284-time_w.csv rename to SurgeData/284-time_w.csv diff --git a/SurgeData/N=1000/284-waterlevel_c.csv b/SurgeData/284-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/284-waterlevel_c.csv rename to SurgeData/284-waterlevel_c.csv diff --git a/SurgeData/N=1000/284-waterlevel_w.csv b/SurgeData/284-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/284-waterlevel_w.csv rename to SurgeData/284-waterlevel_w.csv diff --git a/SurgeData/N=1000/285-peak+year_c.csv b/SurgeData/285-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/285-peak+year_c.csv rename to SurgeData/285-peak+year_c.csv diff --git a/SurgeData/N=1000/285-peak+year_w.csv b/SurgeData/285-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/285-peak+year_w.csv rename to SurgeData/285-peak+year_w.csv diff --git a/SurgeData/N=1000/285-peak_c.csv b/SurgeData/285-peak_c.csv similarity index 100% rename from SurgeData/N=1000/285-peak_c.csv rename to SurgeData/285-peak_c.csv diff --git a/SurgeData/N=1000/285-peak_w.csv b/SurgeData/285-peak_w.csv similarity index 100% rename from SurgeData/N=1000/285-peak_w.csv rename to SurgeData/285-peak_w.csv diff --git a/SurgeData/N=1000/285-surge_c.csv b/SurgeData/285-surge_c.csv similarity index 100% rename from SurgeData/N=1000/285-surge_c.csv rename to SurgeData/285-surge_c.csv diff --git a/SurgeData/N=1000/285-surge_w.csv b/SurgeData/285-surge_w.csv similarity index 100% rename from SurgeData/N=1000/285-surge_w.csv rename to SurgeData/285-surge_w.csv diff --git a/SurgeData/N=1000/285-time_c.csv b/SurgeData/285-time_c.csv similarity index 100% rename from SurgeData/N=1000/285-time_c.csv rename to SurgeData/285-time_c.csv diff --git a/SurgeData/N=1000/285-time_w.csv b/SurgeData/285-time_w.csv similarity index 100% rename from SurgeData/N=1000/285-time_w.csv rename to SurgeData/285-time_w.csv diff --git a/SurgeData/N=1000/285-waterlevel_c.csv b/SurgeData/285-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/285-waterlevel_c.csv rename to SurgeData/285-waterlevel_c.csv diff --git a/SurgeData/N=1000/285-waterlevel_w.csv b/SurgeData/285-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/285-waterlevel_w.csv rename to SurgeData/285-waterlevel_w.csv diff --git a/SurgeData/286-num_storm.csv b/SurgeData/286-num_storm.csv new file mode 100644 index 00000000..89838bf9 --- /dev/null +++ b/SurgeData/286-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,5.0 +2022,3.0,3.0 +2023,0.0,4.0 +2024,2.0,7.0 +2025,2.0,4.0 +2026,0.0,3.0 +2027,1.0,6.0 +2028,0.0,4.0 +2029,1.0,2.0 +2030,3.0,8.0 +2031,2.0,5.0 +2032,5.0,7.0 +2033,1.0,3.0 +2034,2.0,2.0 +2035,1.0,4.0 +2036,3.0,5.0 +2037,4.0,2.0 +2038,1.0,6.0 +2039,1.0,7.0 +2040,3.0,2.0 +2041,1.0,4.0 +2042,4.0,9.0 +2043,3.0,6.0 +2044,5.0,7.0 +2045,1.0,4.0 +2046,0.0,1.0 +2047,2.0,4.0 +2048,2.0,5.0 +2049,2.0,4.0 +2050,3.0,3.0 +2051,2.0,2.0 +2052,1.0,8.0 +2053,1.0,2.0 +2054,0.0,8.0 +2055,1.0,6.0 +2056,3.0,3.0 +2057,1.0,2.0 +2058,0.0,10.0 +2059,2.0,6.0 +2060,4.0,3.0 +2061,3.0,5.0 +2062,3.0,2.0 +2063,0.0,3.0 +2064,2.0,2.0 +2065,0.0,7.0 +2066,0.0,4.0 +2067,1.0,6.0 +2068,2.0,6.0 +2069,0.0,4.0 +2070,2.0,2.0 +2071,0.0,3.0 +2072,1.0,3.0 +2073,3.0,4.0 +2074,1.0,6.0 +2075,3.0,3.0 +2076,1.0,1.0 +2077,1.0,6.0 +2078,1.0,4.0 +2079,2.0,4.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,1.0,1.0 +2083,2.0,0.0 +2084,2.0,3.0 +2085,2.0,7.0 +2086,3.0,11.0 +2087,1.0,4.0 +2088,1.0,1.0 +2089,1.0,5.0 +2090,2.0,4.0 +2091,3.0,3.0 +2092,1.0,5.0 +2093,2.0,7.0 +2094,0.0,0.0 +2095,0.0,4.0 +2096,0.0,6.0 +2097,4.0,5.0 +2098,0.0,4.0 +2099,2.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/286-peak+year_c.csv b/SurgeData/286-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/286-peak+year_c.csv rename to SurgeData/286-peak+year_c.csv diff --git a/SurgeData/N=1000/286-peak+year_w.csv b/SurgeData/286-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/286-peak+year_w.csv rename to SurgeData/286-peak+year_w.csv diff --git a/SurgeData/N=1000/286-peak_c.csv b/SurgeData/286-peak_c.csv similarity index 100% rename from SurgeData/N=1000/286-peak_c.csv rename to SurgeData/286-peak_c.csv diff --git a/SurgeData/N=1000/286-peak_w.csv b/SurgeData/286-peak_w.csv similarity index 100% rename from SurgeData/N=1000/286-peak_w.csv rename to SurgeData/286-peak_w.csv diff --git a/SurgeData/N=1000/286-surge_c.csv b/SurgeData/286-surge_c.csv similarity index 100% rename from SurgeData/N=1000/286-surge_c.csv rename to SurgeData/286-surge_c.csv diff --git a/SurgeData/N=1000/286-surge_w.csv b/SurgeData/286-surge_w.csv similarity index 100% rename from SurgeData/N=1000/286-surge_w.csv rename to SurgeData/286-surge_w.csv diff --git a/SurgeData/N=1000/286-time_c.csv b/SurgeData/286-time_c.csv similarity index 100% rename from SurgeData/N=1000/286-time_c.csv rename to SurgeData/286-time_c.csv diff --git a/SurgeData/N=1000/286-time_w.csv b/SurgeData/286-time_w.csv similarity index 100% rename from SurgeData/N=1000/286-time_w.csv rename to SurgeData/286-time_w.csv diff --git a/SurgeData/N=1000/286-waterlevel_c.csv b/SurgeData/286-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/286-waterlevel_c.csv rename to SurgeData/286-waterlevel_c.csv diff --git a/SurgeData/N=1000/286-waterlevel_w.csv b/SurgeData/286-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/286-waterlevel_w.csv rename to SurgeData/286-waterlevel_w.csv diff --git a/SurgeData/287-num_storm.csv b/SurgeData/287-num_storm.csv new file mode 100644 index 00000000..332ab280 --- /dev/null +++ b/SurgeData/287-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,6.0 +2022,0.0,3.0 +2023,2.0,6.0 +2024,1.0,9.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,1.0,6.0 +2028,0.0,3.0 +2029,2.0,8.0 +2030,0.0,4.0 +2031,1.0,2.0 +2032,3.0,2.0 +2033,1.0,3.0 +2034,1.0,6.0 +2035,0.0,5.0 +2036,1.0,4.0 +2037,3.0,6.0 +2038,1.0,4.0 +2039,5.0,3.0 +2040,2.0,6.0 +2041,3.0,7.0 +2042,2.0,3.0 +2043,0.0,5.0 +2044,2.0,2.0 +2045,3.0,1.0 +2046,2.0,2.0 +2047,0.0,6.0 +2048,1.0,3.0 +2049,0.0,2.0 +2050,1.0,4.0 +2051,1.0,1.0 +2052,1.0,8.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,2.0,6.0 +2056,0.0,3.0 +2057,0.0,2.0 +2058,1.0,3.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,2.0,5.0 +2062,1.0,1.0 +2063,2.0,5.0 +2064,1.0,1.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,5.0,2.0 +2068,0.0,5.0 +2069,2.0,4.0 +2070,3.0,6.0 +2071,2.0,3.0 +2072,2.0,4.0 +2073,0.0,6.0 +2074,5.0,3.0 +2075,1.0,5.0 +2076,0.0,1.0 +2077,1.0,5.0 +2078,2.0,5.0 +2079,1.0,3.0 +2080,1.0,6.0 +2081,1.0,2.0 +2082,0.0,5.0 +2083,1.0,4.0 +2084,2.0,4.0 +2085,1.0,5.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,1.0,8.0 +2089,3.0,7.0 +2090,1.0,5.0 +2091,0.0,2.0 +2092,1.0,4.0 +2093,2.0,3.0 +2094,1.0,1.0 +2095,3.0,1.0 +2096,0.0,3.0 +2097,1.0,3.0 +2098,2.0,9.0 +2099,3.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/287-peak+year_c.csv b/SurgeData/287-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/287-peak+year_c.csv rename to SurgeData/287-peak+year_c.csv diff --git a/SurgeData/N=1000/287-peak+year_w.csv b/SurgeData/287-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/287-peak+year_w.csv rename to SurgeData/287-peak+year_w.csv diff --git a/SurgeData/N=1000/287-peak_c.csv b/SurgeData/287-peak_c.csv similarity index 100% rename from SurgeData/N=1000/287-peak_c.csv rename to SurgeData/287-peak_c.csv diff --git a/SurgeData/N=1000/287-peak_w.csv b/SurgeData/287-peak_w.csv similarity index 100% rename from SurgeData/N=1000/287-peak_w.csv rename to SurgeData/287-peak_w.csv diff --git a/SurgeData/N=1000/287-surge_c.csv b/SurgeData/287-surge_c.csv similarity index 100% rename from SurgeData/N=1000/287-surge_c.csv rename to SurgeData/287-surge_c.csv diff --git a/SurgeData/N=1000/287-surge_w.csv b/SurgeData/287-surge_w.csv similarity index 100% rename from SurgeData/N=1000/287-surge_w.csv rename to SurgeData/287-surge_w.csv diff --git a/SurgeData/N=1000/287-time_c.csv b/SurgeData/287-time_c.csv similarity index 100% rename from SurgeData/N=1000/287-time_c.csv rename to SurgeData/287-time_c.csv diff --git a/SurgeData/N=1000/287-time_w.csv b/SurgeData/287-time_w.csv similarity index 100% rename from SurgeData/N=1000/287-time_w.csv rename to SurgeData/287-time_w.csv diff --git a/SurgeData/N=1000/287-waterlevel_c.csv b/SurgeData/287-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/287-waterlevel_c.csv rename to SurgeData/287-waterlevel_c.csv diff --git a/SurgeData/N=1000/287-waterlevel_w.csv b/SurgeData/287-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/287-waterlevel_w.csv rename to SurgeData/287-waterlevel_w.csv diff --git a/SurgeData/288-num_storm.csv b/SurgeData/288-num_storm.csv new file mode 100644 index 00000000..eb43d353 --- /dev/null +++ b/SurgeData/288-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,5.0 +2022,1.0,6.0 +2023,1.0,1.0 +2024,2.0,4.0 +2025,1.0,4.0 +2026,2.0,4.0 +2027,3.0,3.0 +2028,2.0,4.0 +2029,2.0,4.0 +2030,2.0,3.0 +2031,0.0,3.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,5.0,7.0 +2035,3.0,5.0 +2036,3.0,2.0 +2037,3.0,4.0 +2038,2.0,3.0 +2039,4.0,4.0 +2040,1.0,7.0 +2041,1.0,3.0 +2042,1.0,6.0 +2043,1.0,5.0 +2044,1.0,1.0 +2045,0.0,3.0 +2046,0.0,2.0 +2047,2.0,6.0 +2048,4.0,1.0 +2049,2.0,6.0 +2050,3.0,4.0 +2051,0.0,4.0 +2052,1.0,6.0 +2053,1.0,4.0 +2054,2.0,3.0 +2055,0.0,8.0 +2056,1.0,5.0 +2057,2.0,2.0 +2058,0.0,2.0 +2059,1.0,4.0 +2060,3.0,7.0 +2061,1.0,4.0 +2062,4.0,9.0 +2063,1.0,2.0 +2064,1.0,1.0 +2065,1.0,1.0 +2066,1.0,3.0 +2067,2.0,6.0 +2068,0.0,1.0 +2069,2.0,5.0 +2070,3.0,3.0 +2071,2.0,2.0 +2072,3.0,4.0 +2073,4.0,7.0 +2074,1.0,3.0 +2075,3.0,6.0 +2076,3.0,7.0 +2077,0.0,6.0 +2078,2.0,4.0 +2079,1.0,4.0 +2080,2.0,5.0 +2081,1.0,2.0 +2082,1.0,3.0 +2083,1.0,8.0 +2084,0.0,2.0 +2085,3.0,6.0 +2086,1.0,5.0 +2087,1.0,0.0 +2088,2.0,2.0 +2089,3.0,3.0 +2090,3.0,6.0 +2091,0.0,6.0 +2092,2.0,3.0 +2093,0.0,5.0 +2094,1.0,6.0 +2095,1.0,8.0 +2096,4.0,4.0 +2097,3.0,4.0 +2098,2.0,4.0 +2099,4.0,2.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/288-peak+year_c.csv b/SurgeData/288-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/288-peak+year_c.csv rename to SurgeData/288-peak+year_c.csv diff --git a/SurgeData/N=1000/288-peak+year_w.csv b/SurgeData/288-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/288-peak+year_w.csv rename to SurgeData/288-peak+year_w.csv diff --git a/SurgeData/N=1000/288-peak_c.csv b/SurgeData/288-peak_c.csv similarity index 100% rename from SurgeData/N=1000/288-peak_c.csv rename to SurgeData/288-peak_c.csv diff --git a/SurgeData/N=1000/288-peak_w.csv b/SurgeData/288-peak_w.csv similarity index 100% rename from SurgeData/N=1000/288-peak_w.csv rename to SurgeData/288-peak_w.csv diff --git a/SurgeData/N=1000/288-surge_c.csv b/SurgeData/288-surge_c.csv similarity index 100% rename from SurgeData/N=1000/288-surge_c.csv rename to SurgeData/288-surge_c.csv diff --git a/SurgeData/N=1000/288-surge_w.csv b/SurgeData/288-surge_w.csv similarity index 100% rename from SurgeData/N=1000/288-surge_w.csv rename to SurgeData/288-surge_w.csv diff --git a/SurgeData/N=1000/288-time_c.csv b/SurgeData/288-time_c.csv similarity index 100% rename from SurgeData/N=1000/288-time_c.csv rename to SurgeData/288-time_c.csv diff --git a/SurgeData/N=1000/288-time_w.csv b/SurgeData/288-time_w.csv similarity index 100% rename from SurgeData/N=1000/288-time_w.csv rename to SurgeData/288-time_w.csv diff --git a/SurgeData/N=1000/288-waterlevel_c.csv b/SurgeData/288-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/288-waterlevel_c.csv rename to SurgeData/288-waterlevel_c.csv diff --git a/SurgeData/N=1000/288-waterlevel_w.csv b/SurgeData/288-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/288-waterlevel_w.csv rename to SurgeData/288-waterlevel_w.csv diff --git a/SurgeData/289-num_storm.csv b/SurgeData/289-num_storm.csv new file mode 100644 index 00000000..26b9de88 --- /dev/null +++ b/SurgeData/289-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,5.0,3.0 +2022,1.0,3.0 +2023,0.0,3.0 +2024,2.0,1.0 +2025,1.0,2.0 +2026,1.0,4.0 +2027,2.0,2.0 +2028,1.0,7.0 +2029,1.0,1.0 +2030,4.0,4.0 +2031,2.0,3.0 +2032,2.0,2.0 +2033,1.0,0.0 +2034,4.0,3.0 +2035,3.0,8.0 +2036,3.0,4.0 +2037,1.0,5.0 +2038,1.0,6.0 +2039,1.0,2.0 +2040,1.0,6.0 +2041,1.0,2.0 +2042,1.0,3.0 +2043,1.0,3.0 +2044,1.0,2.0 +2045,1.0,5.0 +2046,0.0,6.0 +2047,0.0,2.0 +2048,4.0,2.0 +2049,1.0,6.0 +2050,4.0,2.0 +2051,0.0,3.0 +2052,2.0,4.0 +2053,1.0,6.0 +2054,0.0,3.0 +2055,3.0,6.0 +2056,1.0,5.0 +2057,1.0,3.0 +2058,0.0,3.0 +2059,0.0,5.0 +2060,1.0,5.0 +2061,1.0,4.0 +2062,1.0,4.0 +2063,0.0,5.0 +2064,0.0,4.0 +2065,1.0,7.0 +2066,1.0,6.0 +2067,2.0,2.0 +2068,1.0,5.0 +2069,2.0,9.0 +2070,2.0,9.0 +2071,1.0,1.0 +2072,2.0,6.0 +2073,2.0,2.0 +2074,2.0,5.0 +2075,3.0,6.0 +2076,1.0,6.0 +2077,0.0,5.0 +2078,0.0,7.0 +2079,3.0,3.0 +2080,1.0,5.0 +2081,3.0,2.0 +2082,1.0,3.0 +2083,5.0,10.0 +2084,2.0,4.0 +2085,0.0,3.0 +2086,2.0,3.0 +2087,2.0,4.0 +2088,0.0,4.0 +2089,2.0,2.0 +2090,1.0,5.0 +2091,3.0,4.0 +2092,2.0,2.0 +2093,0.0,2.0 +2094,1.0,3.0 +2095,1.0,1.0 +2096,1.0,6.0 +2097,1.0,5.0 +2098,0.0,4.0 +2099,1.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/289-peak+year_c.csv b/SurgeData/289-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/289-peak+year_c.csv rename to SurgeData/289-peak+year_c.csv diff --git a/SurgeData/N=1000/289-peak+year_w.csv b/SurgeData/289-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/289-peak+year_w.csv rename to SurgeData/289-peak+year_w.csv diff --git a/SurgeData/N=1000/289-peak_c.csv b/SurgeData/289-peak_c.csv similarity index 100% rename from SurgeData/N=1000/289-peak_c.csv rename to SurgeData/289-peak_c.csv diff --git a/SurgeData/N=1000/289-peak_w.csv b/SurgeData/289-peak_w.csv similarity index 100% rename from SurgeData/N=1000/289-peak_w.csv rename to SurgeData/289-peak_w.csv diff --git a/SurgeData/N=1000/289-surge_c.csv b/SurgeData/289-surge_c.csv similarity index 100% rename from SurgeData/N=1000/289-surge_c.csv rename to SurgeData/289-surge_c.csv diff --git a/SurgeData/N=1000/289-surge_w.csv b/SurgeData/289-surge_w.csv similarity index 100% rename from SurgeData/N=1000/289-surge_w.csv rename to SurgeData/289-surge_w.csv diff --git a/SurgeData/N=1000/289-time_c.csv b/SurgeData/289-time_c.csv similarity index 100% rename from SurgeData/N=1000/289-time_c.csv rename to SurgeData/289-time_c.csv diff --git a/SurgeData/N=1000/289-time_w.csv b/SurgeData/289-time_w.csv similarity index 100% rename from SurgeData/N=1000/289-time_w.csv rename to SurgeData/289-time_w.csv diff --git a/SurgeData/N=1000/289-waterlevel_c.csv b/SurgeData/289-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/289-waterlevel_c.csv rename to SurgeData/289-waterlevel_c.csv diff --git a/SurgeData/N=1000/289-waterlevel_w.csv b/SurgeData/289-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/289-waterlevel_w.csv rename to SurgeData/289-waterlevel_w.csv diff --git a/SurgeData/29-num_storm.csv b/SurgeData/29-num_storm.csv new file mode 100644 index 00000000..062faf07 --- /dev/null +++ b/SurgeData/29-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,3.0 +2022,0.0,7.0 +2023,0.0,2.0 +2024,0.0,4.0 +2025,0.0,6.0 +2026,4.0,4.0 +2027,1.0,7.0 +2028,1.0,3.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,1.0,5.0 +2032,1.0,6.0 +2033,0.0,8.0 +2034,4.0,4.0 +2035,0.0,4.0 +2036,1.0,3.0 +2037,2.0,2.0 +2038,2.0,3.0 +2039,1.0,8.0 +2040,2.0,3.0 +2041,0.0,2.0 +2042,1.0,2.0 +2043,0.0,6.0 +2044,1.0,3.0 +2045,4.0,6.0 +2046,2.0,2.0 +2047,5.0,6.0 +2048,1.0,5.0 +2049,1.0,4.0 +2050,1.0,2.0 +2051,1.0,3.0 +2052,2.0,3.0 +2053,1.0,3.0 +2054,1.0,7.0 +2055,1.0,5.0 +2056,2.0,4.0 +2057,2.0,3.0 +2058,0.0,4.0 +2059,0.0,5.0 +2060,4.0,0.0 +2061,2.0,5.0 +2062,0.0,4.0 +2063,1.0,9.0 +2064,5.0,8.0 +2065,3.0,0.0 +2066,2.0,7.0 +2067,2.0,7.0 +2068,2.0,5.0 +2069,4.0,3.0 +2070,1.0,8.0 +2071,3.0,3.0 +2072,3.0,5.0 +2073,2.0,2.0 +2074,1.0,5.0 +2075,1.0,5.0 +2076,2.0,3.0 +2077,0.0,6.0 +2078,0.0,2.0 +2079,1.0,1.0 +2080,2.0,3.0 +2081,0.0,4.0 +2082,2.0,3.0 +2083,1.0,3.0 +2084,2.0,5.0 +2085,2.0,3.0 +2086,3.0,6.0 +2087,0.0,4.0 +2088,0.0,3.0 +2089,1.0,6.0 +2090,5.0,3.0 +2091,0.0,5.0 +2092,3.0,4.0 +2093,0.0,5.0 +2094,0.0,1.0 +2095,1.0,5.0 +2096,2.0,3.0 +2097,0.0,5.0 +2098,4.0,4.0 +2099,0.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/29-peak+year_c.csv b/SurgeData/29-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/29-peak+year_c.csv rename to SurgeData/29-peak+year_c.csv diff --git a/SurgeData/N=1000/29-peak+year_w.csv b/SurgeData/29-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/29-peak+year_w.csv rename to SurgeData/29-peak+year_w.csv diff --git a/SurgeData/N=1000/29-peak_c.csv b/SurgeData/29-peak_c.csv similarity index 100% rename from SurgeData/N=1000/29-peak_c.csv rename to SurgeData/29-peak_c.csv diff --git a/SurgeData/N=1000/29-peak_w.csv b/SurgeData/29-peak_w.csv similarity index 100% rename from SurgeData/N=1000/29-peak_w.csv rename to SurgeData/29-peak_w.csv diff --git a/SurgeData/N=1000/29-surge_c.csv b/SurgeData/29-surge_c.csv similarity index 100% rename from SurgeData/N=1000/29-surge_c.csv rename to SurgeData/29-surge_c.csv diff --git a/SurgeData/N=1000/29-surge_w.csv b/SurgeData/29-surge_w.csv similarity index 100% rename from SurgeData/N=1000/29-surge_w.csv rename to SurgeData/29-surge_w.csv diff --git a/SurgeData/N=1000/29-time_c.csv b/SurgeData/29-time_c.csv similarity index 100% rename from SurgeData/N=1000/29-time_c.csv rename to SurgeData/29-time_c.csv diff --git a/SurgeData/N=1000/29-time_w.csv b/SurgeData/29-time_w.csv similarity index 100% rename from SurgeData/N=1000/29-time_w.csv rename to SurgeData/29-time_w.csv diff --git a/SurgeData/N=1000/29-waterlevel_c.csv b/SurgeData/29-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/29-waterlevel_c.csv rename to SurgeData/29-waterlevel_c.csv diff --git a/SurgeData/N=1000/29-waterlevel_w.csv b/SurgeData/29-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/29-waterlevel_w.csv rename to SurgeData/29-waterlevel_w.csv diff --git a/SurgeData/290-num_storm.csv b/SurgeData/290-num_storm.csv new file mode 100644 index 00000000..ae6540c8 --- /dev/null +++ b/SurgeData/290-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,0.0,1.0 +2022,1.0,1.0 +2023,0.0,2.0 +2024,1.0,3.0 +2025,1.0,6.0 +2026,1.0,6.0 +2027,2.0,6.0 +2028,3.0,5.0 +2029,0.0,6.0 +2030,1.0,5.0 +2031,1.0,5.0 +2032,2.0,2.0 +2033,1.0,5.0 +2034,1.0,3.0 +2035,0.0,1.0 +2036,1.0,2.0 +2037,0.0,5.0 +2038,0.0,2.0 +2039,1.0,4.0 +2040,1.0,4.0 +2041,4.0,3.0 +2042,2.0,5.0 +2043,2.0,6.0 +2044,2.0,4.0 +2045,1.0,2.0 +2046,4.0,5.0 +2047,1.0,3.0 +2048,2.0,7.0 +2049,1.0,3.0 +2050,1.0,2.0 +2051,1.0,1.0 +2052,2.0,3.0 +2053,3.0,2.0 +2054,2.0,2.0 +2055,0.0,7.0 +2056,0.0,2.0 +2057,1.0,4.0 +2058,0.0,9.0 +2059,3.0,3.0 +2060,1.0,2.0 +2061,1.0,3.0 +2062,0.0,6.0 +2063,0.0,3.0 +2064,1.0,1.0 +2065,2.0,5.0 +2066,1.0,2.0 +2067,3.0,2.0 +2068,1.0,6.0 +2069,0.0,3.0 +2070,2.0,6.0 +2071,1.0,2.0 +2072,2.0,6.0 +2073,1.0,2.0 +2074,4.0,5.0 +2075,3.0,7.0 +2076,4.0,7.0 +2077,1.0,2.0 +2078,0.0,4.0 +2079,2.0,2.0 +2080,4.0,4.0 +2081,0.0,2.0 +2082,2.0,6.0 +2083,1.0,3.0 +2084,3.0,3.0 +2085,0.0,3.0 +2086,2.0,4.0 +2087,1.0,3.0 +2088,2.0,2.0 +2089,1.0,6.0 +2090,0.0,5.0 +2091,4.0,7.0 +2092,2.0,8.0 +2093,0.0,5.0 +2094,1.0,4.0 +2095,1.0,6.0 +2096,0.0,7.0 +2097,1.0,3.0 +2098,1.0,6.0 +2099,3.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/290-peak+year_c.csv b/SurgeData/290-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/290-peak+year_c.csv rename to SurgeData/290-peak+year_c.csv diff --git a/SurgeData/N=1000/290-peak+year_w.csv b/SurgeData/290-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/290-peak+year_w.csv rename to SurgeData/290-peak+year_w.csv diff --git a/SurgeData/N=1000/290-peak_c.csv b/SurgeData/290-peak_c.csv similarity index 100% rename from SurgeData/N=1000/290-peak_c.csv rename to SurgeData/290-peak_c.csv diff --git a/SurgeData/N=1000/290-peak_w.csv b/SurgeData/290-peak_w.csv similarity index 100% rename from SurgeData/N=1000/290-peak_w.csv rename to SurgeData/290-peak_w.csv diff --git a/SurgeData/N=1000/290-surge_c.csv b/SurgeData/290-surge_c.csv similarity index 100% rename from SurgeData/N=1000/290-surge_c.csv rename to SurgeData/290-surge_c.csv diff --git a/SurgeData/N=1000/290-surge_w.csv b/SurgeData/290-surge_w.csv similarity index 100% rename from SurgeData/N=1000/290-surge_w.csv rename to SurgeData/290-surge_w.csv diff --git a/SurgeData/N=1000/290-time_c.csv b/SurgeData/290-time_c.csv similarity index 100% rename from SurgeData/N=1000/290-time_c.csv rename to SurgeData/290-time_c.csv diff --git a/SurgeData/N=1000/290-time_w.csv b/SurgeData/290-time_w.csv similarity index 100% rename from SurgeData/N=1000/290-time_w.csv rename to SurgeData/290-time_w.csv diff --git a/SurgeData/N=1000/290-waterlevel_c.csv b/SurgeData/290-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/290-waterlevel_c.csv rename to SurgeData/290-waterlevel_c.csv diff --git a/SurgeData/N=1000/290-waterlevel_w.csv b/SurgeData/290-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/290-waterlevel_w.csv rename to SurgeData/290-waterlevel_w.csv diff --git a/SurgeData/291-num_storm.csv b/SurgeData/291-num_storm.csv new file mode 100644 index 00000000..67571c1f --- /dev/null +++ b/SurgeData/291-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,9.0 +2021,4.0,5.0 +2022,3.0,2.0 +2023,0.0,4.0 +2024,0.0,2.0 +2025,1.0,5.0 +2026,1.0,3.0 +2027,3.0,1.0 +2028,0.0,3.0 +2029,4.0,5.0 +2030,0.0,5.0 +2031,2.0,1.0 +2032,0.0,5.0 +2033,1.0,6.0 +2034,2.0,3.0 +2035,3.0,6.0 +2036,1.0,4.0 +2037,2.0,5.0 +2038,0.0,2.0 +2039,0.0,0.0 +2040,2.0,4.0 +2041,1.0,5.0 +2042,2.0,6.0 +2043,1.0,2.0 +2044,1.0,2.0 +2045,0.0,5.0 +2046,0.0,4.0 +2047,0.0,5.0 +2048,2.0,3.0 +2049,2.0,2.0 +2050,2.0,2.0 +2051,2.0,3.0 +2052,2.0,1.0 +2053,1.0,6.0 +2054,1.0,3.0 +2055,1.0,1.0 +2056,3.0,7.0 +2057,4.0,5.0 +2058,0.0,7.0 +2059,1.0,2.0 +2060,1.0,6.0 +2061,3.0,2.0 +2062,0.0,7.0 +2063,1.0,1.0 +2064,0.0,5.0 +2065,0.0,3.0 +2066,0.0,4.0 +2067,0.0,3.0 +2068,2.0,8.0 +2069,2.0,5.0 +2070,1.0,3.0 +2071,4.0,4.0 +2072,0.0,0.0 +2073,1.0,3.0 +2074,2.0,6.0 +2075,2.0,4.0 +2076,3.0,2.0 +2077,1.0,4.0 +2078,1.0,4.0 +2079,2.0,6.0 +2080,1.0,5.0 +2081,4.0,6.0 +2082,1.0,6.0 +2083,1.0,5.0 +2084,1.0,4.0 +2085,3.0,7.0 +2086,1.0,1.0 +2087,2.0,3.0 +2088,2.0,9.0 +2089,2.0,3.0 +2090,1.0,7.0 +2091,2.0,5.0 +2092,1.0,5.0 +2093,1.0,3.0 +2094,1.0,7.0 +2095,2.0,6.0 +2096,0.0,5.0 +2097,1.0,9.0 +2098,1.0,1.0 +2099,2.0,6.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/291-peak+year_c.csv b/SurgeData/291-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/291-peak+year_c.csv rename to SurgeData/291-peak+year_c.csv diff --git a/SurgeData/N=1000/291-peak+year_w.csv b/SurgeData/291-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/291-peak+year_w.csv rename to SurgeData/291-peak+year_w.csv diff --git a/SurgeData/N=1000/291-peak_c.csv b/SurgeData/291-peak_c.csv similarity index 100% rename from SurgeData/N=1000/291-peak_c.csv rename to SurgeData/291-peak_c.csv diff --git a/SurgeData/N=1000/291-peak_w.csv b/SurgeData/291-peak_w.csv similarity index 100% rename from SurgeData/N=1000/291-peak_w.csv rename to SurgeData/291-peak_w.csv diff --git a/SurgeData/N=1000/291-surge_c.csv b/SurgeData/291-surge_c.csv similarity index 100% rename from SurgeData/N=1000/291-surge_c.csv rename to SurgeData/291-surge_c.csv diff --git a/SurgeData/N=1000/291-surge_w.csv b/SurgeData/291-surge_w.csv similarity index 100% rename from SurgeData/N=1000/291-surge_w.csv rename to SurgeData/291-surge_w.csv diff --git a/SurgeData/N=1000/291-time_c.csv b/SurgeData/291-time_c.csv similarity index 100% rename from SurgeData/N=1000/291-time_c.csv rename to SurgeData/291-time_c.csv diff --git a/SurgeData/N=1000/291-time_w.csv b/SurgeData/291-time_w.csv similarity index 100% rename from SurgeData/N=1000/291-time_w.csv rename to SurgeData/291-time_w.csv diff --git a/SurgeData/N=1000/291-waterlevel_c.csv b/SurgeData/291-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/291-waterlevel_c.csv rename to SurgeData/291-waterlevel_c.csv diff --git a/SurgeData/N=1000/291-waterlevel_w.csv b/SurgeData/291-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/291-waterlevel_w.csv rename to SurgeData/291-waterlevel_w.csv diff --git a/SurgeData/292-num_storm.csv b/SurgeData/292-num_storm.csv new file mode 100644 index 00000000..1dfa0e29 --- /dev/null +++ b/SurgeData/292-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,6.0 +2022,1.0,0.0 +2023,2.0,4.0 +2024,2.0,1.0 +2025,4.0,2.0 +2026,2.0,8.0 +2027,2.0,2.0 +2028,0.0,4.0 +2029,2.0,5.0 +2030,1.0,2.0 +2031,0.0,2.0 +2032,6.0,9.0 +2033,0.0,4.0 +2034,4.0,5.0 +2035,0.0,1.0 +2036,6.0,7.0 +2037,2.0,2.0 +2038,0.0,3.0 +2039,0.0,4.0 +2040,1.0,5.0 +2041,1.0,4.0 +2042,0.0,5.0 +2043,1.0,4.0 +2044,2.0,3.0 +2045,3.0,4.0 +2046,1.0,4.0 +2047,1.0,2.0 +2048,0.0,6.0 +2049,1.0,7.0 +2050,3.0,5.0 +2051,0.0,5.0 +2052,3.0,5.0 +2053,1.0,2.0 +2054,1.0,3.0 +2055,1.0,2.0 +2056,0.0,5.0 +2057,0.0,5.0 +2058,1.0,2.0 +2059,4.0,2.0 +2060,1.0,3.0 +2061,1.0,9.0 +2062,2.0,9.0 +2063,0.0,1.0 +2064,1.0,6.0 +2065,4.0,4.0 +2066,0.0,4.0 +2067,2.0,5.0 +2068,3.0,4.0 +2069,2.0,3.0 +2070,1.0,3.0 +2071,0.0,7.0 +2072,2.0,1.0 +2073,1.0,8.0 +2074,2.0,4.0 +2075,2.0,5.0 +2076,0.0,8.0 +2077,2.0,3.0 +2078,4.0,3.0 +2079,1.0,9.0 +2080,2.0,4.0 +2081,1.0,2.0 +2082,1.0,1.0 +2083,5.0,3.0 +2084,1.0,7.0 +2085,1.0,6.0 +2086,3.0,2.0 +2087,3.0,2.0 +2088,1.0,5.0 +2089,3.0,3.0 +2090,0.0,4.0 +2091,1.0,2.0 +2092,1.0,7.0 +2093,1.0,4.0 +2094,1.0,4.0 +2095,2.0,4.0 +2096,2.0,3.0 +2097,0.0,4.0 +2098,4.0,5.0 +2099,0.0,0.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/292-peak+year_c.csv b/SurgeData/292-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/292-peak+year_c.csv rename to SurgeData/292-peak+year_c.csv diff --git a/SurgeData/N=1000/292-peak+year_w.csv b/SurgeData/292-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/292-peak+year_w.csv rename to SurgeData/292-peak+year_w.csv diff --git a/SurgeData/N=1000/292-peak_c.csv b/SurgeData/292-peak_c.csv similarity index 100% rename from SurgeData/N=1000/292-peak_c.csv rename to SurgeData/292-peak_c.csv diff --git a/SurgeData/N=1000/292-peak_w.csv b/SurgeData/292-peak_w.csv similarity index 100% rename from SurgeData/N=1000/292-peak_w.csv rename to SurgeData/292-peak_w.csv diff --git a/SurgeData/N=1000/292-surge_c.csv b/SurgeData/292-surge_c.csv similarity index 100% rename from SurgeData/N=1000/292-surge_c.csv rename to SurgeData/292-surge_c.csv diff --git a/SurgeData/N=1000/292-surge_w.csv b/SurgeData/292-surge_w.csv similarity index 100% rename from SurgeData/N=1000/292-surge_w.csv rename to SurgeData/292-surge_w.csv diff --git a/SurgeData/N=1000/292-time_c.csv b/SurgeData/292-time_c.csv similarity index 100% rename from SurgeData/N=1000/292-time_c.csv rename to SurgeData/292-time_c.csv diff --git a/SurgeData/N=1000/292-time_w.csv b/SurgeData/292-time_w.csv similarity index 100% rename from SurgeData/N=1000/292-time_w.csv rename to SurgeData/292-time_w.csv diff --git a/SurgeData/N=1000/292-waterlevel_c.csv b/SurgeData/292-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/292-waterlevel_c.csv rename to SurgeData/292-waterlevel_c.csv diff --git a/SurgeData/N=1000/292-waterlevel_w.csv b/SurgeData/292-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/292-waterlevel_w.csv rename to SurgeData/292-waterlevel_w.csv diff --git a/SurgeData/293-num_storm.csv b/SurgeData/293-num_storm.csv new file mode 100644 index 00000000..041b69ad --- /dev/null +++ b/SurgeData/293-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,5.0,1.0 +2022,1.0,6.0 +2023,3.0,1.0 +2024,0.0,3.0 +2025,2.0,4.0 +2026,2.0,3.0 +2027,1.0,4.0 +2028,0.0,5.0 +2029,1.0,6.0 +2030,3.0,2.0 +2031,2.0,6.0 +2032,2.0,7.0 +2033,2.0,3.0 +2034,0.0,5.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,2.0,7.0 +2038,0.0,5.0 +2039,0.0,3.0 +2040,2.0,7.0 +2041,3.0,7.0 +2042,2.0,5.0 +2043,0.0,6.0 +2044,2.0,5.0 +2045,3.0,5.0 +2046,1.0,3.0 +2047,1.0,5.0 +2048,1.0,3.0 +2049,0.0,4.0 +2050,0.0,4.0 +2051,1.0,2.0 +2052,2.0,5.0 +2053,3.0,7.0 +2054,0.0,4.0 +2055,1.0,6.0 +2056,0.0,3.0 +2057,1.0,6.0 +2058,3.0,5.0 +2059,3.0,4.0 +2060,1.0,2.0 +2061,2.0,8.0 +2062,0.0,9.0 +2063,1.0,0.0 +2064,1.0,8.0 +2065,2.0,3.0 +2066,1.0,6.0 +2067,0.0,7.0 +2068,1.0,2.0 +2069,0.0,10.0 +2070,2.0,4.0 +2071,1.0,1.0 +2072,1.0,4.0 +2073,0.0,3.0 +2074,1.0,2.0 +2075,2.0,5.0 +2076,2.0,6.0 +2077,1.0,5.0 +2078,1.0,2.0 +2079,1.0,1.0 +2080,4.0,2.0 +2081,0.0,5.0 +2082,2.0,9.0 +2083,1.0,3.0 +2084,1.0,4.0 +2085,1.0,5.0 +2086,3.0,2.0 +2087,6.0,5.0 +2088,5.0,4.0 +2089,0.0,7.0 +2090,1.0,6.0 +2091,6.0,8.0 +2092,4.0,2.0 +2093,0.0,4.0 +2094,0.0,2.0 +2095,0.0,4.0 +2096,0.0,7.0 +2097,2.0,5.0 +2098,0.0,3.0 +2099,1.0,6.0 +2100,4.0,4.0 diff --git a/SurgeData/N=1000/293-peak+year_c.csv b/SurgeData/293-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/293-peak+year_c.csv rename to SurgeData/293-peak+year_c.csv diff --git a/SurgeData/N=1000/293-peak+year_w.csv b/SurgeData/293-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/293-peak+year_w.csv rename to SurgeData/293-peak+year_w.csv diff --git a/SurgeData/N=1000/293-peak_c.csv b/SurgeData/293-peak_c.csv similarity index 100% rename from SurgeData/N=1000/293-peak_c.csv rename to SurgeData/293-peak_c.csv diff --git a/SurgeData/N=1000/293-peak_w.csv b/SurgeData/293-peak_w.csv similarity index 100% rename from SurgeData/N=1000/293-peak_w.csv rename to SurgeData/293-peak_w.csv diff --git a/SurgeData/N=1000/293-surge_c.csv b/SurgeData/293-surge_c.csv similarity index 100% rename from SurgeData/N=1000/293-surge_c.csv rename to SurgeData/293-surge_c.csv diff --git a/SurgeData/N=1000/293-surge_w.csv b/SurgeData/293-surge_w.csv similarity index 100% rename from SurgeData/N=1000/293-surge_w.csv rename to SurgeData/293-surge_w.csv diff --git a/SurgeData/N=1000/293-time_c.csv b/SurgeData/293-time_c.csv similarity index 100% rename from SurgeData/N=1000/293-time_c.csv rename to SurgeData/293-time_c.csv diff --git a/SurgeData/N=1000/293-time_w.csv b/SurgeData/293-time_w.csv similarity index 100% rename from SurgeData/N=1000/293-time_w.csv rename to SurgeData/293-time_w.csv diff --git a/SurgeData/N=1000/293-waterlevel_c.csv b/SurgeData/293-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/293-waterlevel_c.csv rename to SurgeData/293-waterlevel_c.csv diff --git a/SurgeData/N=1000/293-waterlevel_w.csv b/SurgeData/293-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/293-waterlevel_w.csv rename to SurgeData/293-waterlevel_w.csv diff --git a/SurgeData/N=1000/294-peak+year_c.csv b/SurgeData/294-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/294-peak+year_c.csv rename to SurgeData/294-peak+year_c.csv diff --git a/SurgeData/N=1000/294-peak+year_w.csv b/SurgeData/294-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/294-peak+year_w.csv rename to SurgeData/294-peak+year_w.csv diff --git a/SurgeData/N=1000/294-peak_c.csv b/SurgeData/294-peak_c.csv similarity index 100% rename from SurgeData/N=1000/294-peak_c.csv rename to SurgeData/294-peak_c.csv diff --git a/SurgeData/N=1000/294-peak_w.csv b/SurgeData/294-peak_w.csv similarity index 100% rename from SurgeData/N=1000/294-peak_w.csv rename to SurgeData/294-peak_w.csv diff --git a/SurgeData/N=1000/294-surge_c.csv b/SurgeData/294-surge_c.csv similarity index 100% rename from SurgeData/N=1000/294-surge_c.csv rename to SurgeData/294-surge_c.csv diff --git a/SurgeData/N=1000/294-surge_w.csv b/SurgeData/294-surge_w.csv similarity index 100% rename from SurgeData/N=1000/294-surge_w.csv rename to SurgeData/294-surge_w.csv diff --git a/SurgeData/N=1000/294-time_c.csv b/SurgeData/294-time_c.csv similarity index 100% rename from SurgeData/N=1000/294-time_c.csv rename to SurgeData/294-time_c.csv diff --git a/SurgeData/N=1000/294-time_w.csv b/SurgeData/294-time_w.csv similarity index 100% rename from SurgeData/N=1000/294-time_w.csv rename to SurgeData/294-time_w.csv diff --git a/SurgeData/N=1000/294-waterlevel_c.csv b/SurgeData/294-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/294-waterlevel_c.csv rename to SurgeData/294-waterlevel_c.csv diff --git a/SurgeData/N=1000/294-waterlevel_w.csv b/SurgeData/294-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/294-waterlevel_w.csv rename to SurgeData/294-waterlevel_w.csv diff --git a/SurgeData/295-num_storm.csv b/SurgeData/295-num_storm.csv new file mode 100644 index 00000000..4a63fd21 --- /dev/null +++ b/SurgeData/295-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,7.0,3.0 +2021,1.0,2.0 +2022,1.0,3.0 +2023,3.0,4.0 +2024,2.0,4.0 +2025,1.0,2.0 +2026,1.0,3.0 +2027,5.0,4.0 +2028,4.0,3.0 +2029,1.0,6.0 +2030,1.0,2.0 +2031,3.0,5.0 +2032,4.0,4.0 +2033,0.0,4.0 +2034,0.0,11.0 +2035,2.0,5.0 +2036,0.0,1.0 +2037,0.0,3.0 +2038,2.0,9.0 +2039,0.0,3.0 +2040,0.0,2.0 +2041,2.0,2.0 +2042,0.0,5.0 +2043,0.0,3.0 +2044,2.0,3.0 +2045,1.0,8.0 +2046,0.0,2.0 +2047,1.0,4.0 +2048,3.0,4.0 +2049,1.0,1.0 +2050,2.0,5.0 +2051,3.0,6.0 +2052,0.0,4.0 +2053,1.0,5.0 +2054,0.0,8.0 +2055,0.0,2.0 +2056,4.0,4.0 +2057,0.0,3.0 +2058,2.0,5.0 +2059,0.0,2.0 +2060,0.0,0.0 +2061,4.0,7.0 +2062,1.0,4.0 +2063,1.0,7.0 +2064,0.0,3.0 +2065,2.0,2.0 +2066,1.0,4.0 +2067,1.0,1.0 +2068,0.0,4.0 +2069,2.0,2.0 +2070,3.0,2.0 +2071,1.0,5.0 +2072,1.0,4.0 +2073,3.0,7.0 +2074,1.0,5.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,2.0,5.0 +2078,2.0,2.0 +2079,3.0,6.0 +2080,0.0,5.0 +2081,0.0,6.0 +2082,2.0,5.0 +2083,1.0,5.0 +2084,2.0,5.0 +2085,4.0,5.0 +2086,5.0,6.0 +2087,1.0,2.0 +2088,0.0,6.0 +2089,2.0,4.0 +2090,2.0,6.0 +2091,4.0,4.0 +2092,2.0,1.0 +2093,0.0,3.0 +2094,1.0,2.0 +2095,3.0,4.0 +2096,1.0,2.0 +2097,1.0,6.0 +2098,4.0,3.0 +2099,1.0,6.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/295-peak+year_c.csv b/SurgeData/295-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/295-peak+year_c.csv rename to SurgeData/295-peak+year_c.csv diff --git a/SurgeData/N=1000/295-peak+year_w.csv b/SurgeData/295-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/295-peak+year_w.csv rename to SurgeData/295-peak+year_w.csv diff --git a/SurgeData/N=1000/295-peak_c.csv b/SurgeData/295-peak_c.csv similarity index 100% rename from SurgeData/N=1000/295-peak_c.csv rename to SurgeData/295-peak_c.csv diff --git a/SurgeData/N=1000/295-peak_w.csv b/SurgeData/295-peak_w.csv similarity index 100% rename from SurgeData/N=1000/295-peak_w.csv rename to SurgeData/295-peak_w.csv diff --git a/SurgeData/N=1000/295-surge_c.csv b/SurgeData/295-surge_c.csv similarity index 100% rename from SurgeData/N=1000/295-surge_c.csv rename to SurgeData/295-surge_c.csv diff --git a/SurgeData/N=1000/295-surge_w.csv b/SurgeData/295-surge_w.csv similarity index 100% rename from SurgeData/N=1000/295-surge_w.csv rename to SurgeData/295-surge_w.csv diff --git a/SurgeData/N=1000/295-time_c.csv b/SurgeData/295-time_c.csv similarity index 100% rename from SurgeData/N=1000/295-time_c.csv rename to SurgeData/295-time_c.csv diff --git a/SurgeData/N=1000/295-time_w.csv b/SurgeData/295-time_w.csv similarity index 100% rename from SurgeData/N=1000/295-time_w.csv rename to SurgeData/295-time_w.csv diff --git a/SurgeData/N=1000/295-waterlevel_c.csv b/SurgeData/295-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/295-waterlevel_c.csv rename to SurgeData/295-waterlevel_c.csv diff --git a/SurgeData/N=1000/295-waterlevel_w.csv b/SurgeData/295-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/295-waterlevel_w.csv rename to SurgeData/295-waterlevel_w.csv diff --git a/SurgeData/296-num_storm.csv b/SurgeData/296-num_storm.csv new file mode 100644 index 00000000..cdfa26f8 --- /dev/null +++ b/SurgeData/296-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,1.0,6.0 +2022,1.0,5.0 +2023,1.0,1.0 +2024,0.0,6.0 +2025,2.0,6.0 +2026,1.0,4.0 +2027,2.0,4.0 +2028,1.0,1.0 +2029,1.0,6.0 +2030,1.0,6.0 +2031,1.0,6.0 +2032,1.0,5.0 +2033,0.0,2.0 +2034,0.0,7.0 +2035,1.0,7.0 +2036,0.0,2.0 +2037,3.0,6.0 +2038,0.0,5.0 +2039,4.0,6.0 +2040,2.0,3.0 +2041,2.0,2.0 +2042,2.0,1.0 +2043,0.0,2.0 +2044,3.0,5.0 +2045,2.0,2.0 +2046,0.0,4.0 +2047,1.0,5.0 +2048,1.0,3.0 +2049,4.0,8.0 +2050,1.0,5.0 +2051,0.0,6.0 +2052,3.0,4.0 +2053,1.0,3.0 +2054,1.0,8.0 +2055,0.0,3.0 +2056,0.0,6.0 +2057,1.0,3.0 +2058,1.0,4.0 +2059,2.0,1.0 +2060,2.0,7.0 +2061,2.0,1.0 +2062,1.0,6.0 +2063,2.0,5.0 +2064,0.0,7.0 +2065,1.0,3.0 +2066,1.0,1.0 +2067,2.0,5.0 +2068,2.0,6.0 +2069,3.0,3.0 +2070,1.0,2.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,0.0,5.0 +2074,1.0,5.0 +2075,0.0,4.0 +2076,1.0,3.0 +2077,2.0,6.0 +2078,4.0,2.0 +2079,3.0,6.0 +2080,0.0,8.0 +2081,2.0,5.0 +2082,0.0,4.0 +2083,2.0,3.0 +2084,1.0,3.0 +2085,3.0,5.0 +2086,2.0,5.0 +2087,3.0,6.0 +2088,1.0,7.0 +2089,1.0,4.0 +2090,2.0,4.0 +2091,1.0,2.0 +2092,1.0,4.0 +2093,1.0,2.0 +2094,1.0,7.0 +2095,0.0,5.0 +2096,2.0,1.0 +2097,2.0,4.0 +2098,5.0,2.0 +2099,1.0,7.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/296-peak+year_c.csv b/SurgeData/296-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/296-peak+year_c.csv rename to SurgeData/296-peak+year_c.csv diff --git a/SurgeData/N=1000/296-peak+year_w.csv b/SurgeData/296-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/296-peak+year_w.csv rename to SurgeData/296-peak+year_w.csv diff --git a/SurgeData/N=1000/296-peak_c.csv b/SurgeData/296-peak_c.csv similarity index 100% rename from SurgeData/N=1000/296-peak_c.csv rename to SurgeData/296-peak_c.csv diff --git a/SurgeData/N=1000/296-peak_w.csv b/SurgeData/296-peak_w.csv similarity index 100% rename from SurgeData/N=1000/296-peak_w.csv rename to SurgeData/296-peak_w.csv diff --git a/SurgeData/N=1000/296-surge_c.csv b/SurgeData/296-surge_c.csv similarity index 100% rename from SurgeData/N=1000/296-surge_c.csv rename to SurgeData/296-surge_c.csv diff --git a/SurgeData/N=1000/296-surge_w.csv b/SurgeData/296-surge_w.csv similarity index 100% rename from SurgeData/N=1000/296-surge_w.csv rename to SurgeData/296-surge_w.csv diff --git a/SurgeData/N=1000/296-time_c.csv b/SurgeData/296-time_c.csv similarity index 100% rename from SurgeData/N=1000/296-time_c.csv rename to SurgeData/296-time_c.csv diff --git a/SurgeData/N=1000/296-time_w.csv b/SurgeData/296-time_w.csv similarity index 100% rename from SurgeData/N=1000/296-time_w.csv rename to SurgeData/296-time_w.csv diff --git a/SurgeData/N=1000/296-waterlevel_c.csv b/SurgeData/296-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/296-waterlevel_c.csv rename to SurgeData/296-waterlevel_c.csv diff --git a/SurgeData/N=1000/296-waterlevel_w.csv b/SurgeData/296-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/296-waterlevel_w.csv rename to SurgeData/296-waterlevel_w.csv diff --git a/SurgeData/297-num_storm.csv b/SurgeData/297-num_storm.csv new file mode 100644 index 00000000..5767fde4 --- /dev/null +++ b/SurgeData/297-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,3.0,4.0 +2022,2.0,5.0 +2023,1.0,6.0 +2024,3.0,3.0 +2025,2.0,6.0 +2026,2.0,4.0 +2027,0.0,5.0 +2028,0.0,2.0 +2029,4.0,2.0 +2030,0.0,5.0 +2031,4.0,8.0 +2032,2.0,3.0 +2033,2.0,5.0 +2034,1.0,5.0 +2035,3.0,2.0 +2036,1.0,3.0 +2037,2.0,3.0 +2038,2.0,5.0 +2039,1.0,6.0 +2040,1.0,5.0 +2041,2.0,4.0 +2042,2.0,3.0 +2043,1.0,5.0 +2044,1.0,4.0 +2045,1.0,4.0 +2046,0.0,3.0 +2047,2.0,6.0 +2048,0.0,3.0 +2049,2.0,8.0 +2050,2.0,5.0 +2051,2.0,5.0 +2052,3.0,6.0 +2053,0.0,5.0 +2054,0.0,2.0 +2055,4.0,2.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,1.0,5.0 +2059,1.0,5.0 +2060,3.0,3.0 +2061,1.0,2.0 +2062,3.0,4.0 +2063,1.0,5.0 +2064,3.0,2.0 +2065,4.0,3.0 +2066,1.0,3.0 +2067,3.0,10.0 +2068,4.0,4.0 +2069,2.0,3.0 +2070,4.0,3.0 +2071,4.0,5.0 +2072,0.0,4.0 +2073,2.0,8.0 +2074,3.0,1.0 +2075,2.0,8.0 +2076,0.0,6.0 +2077,0.0,2.0 +2078,3.0,4.0 +2079,0.0,2.0 +2080,5.0,1.0 +2081,1.0,4.0 +2082,2.0,5.0 +2083,1.0,4.0 +2084,1.0,3.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,4.0,6.0 +2088,4.0,4.0 +2089,3.0,5.0 +2090,2.0,3.0 +2091,0.0,2.0 +2092,3.0,5.0 +2093,3.0,5.0 +2094,0.0,3.0 +2095,3.0,1.0 +2096,1.0,4.0 +2097,4.0,2.0 +2098,2.0,1.0 +2099,1.0,2.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/297-peak+year_c.csv b/SurgeData/297-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/297-peak+year_c.csv rename to SurgeData/297-peak+year_c.csv diff --git a/SurgeData/N=1000/297-peak+year_w.csv b/SurgeData/297-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/297-peak+year_w.csv rename to SurgeData/297-peak+year_w.csv diff --git a/SurgeData/N=1000/297-peak_c.csv b/SurgeData/297-peak_c.csv similarity index 100% rename from SurgeData/N=1000/297-peak_c.csv rename to SurgeData/297-peak_c.csv diff --git a/SurgeData/N=1000/297-peak_w.csv b/SurgeData/297-peak_w.csv similarity index 100% rename from SurgeData/N=1000/297-peak_w.csv rename to SurgeData/297-peak_w.csv diff --git a/SurgeData/N=1000/297-surge_c.csv b/SurgeData/297-surge_c.csv similarity index 100% rename from SurgeData/N=1000/297-surge_c.csv rename to SurgeData/297-surge_c.csv diff --git a/SurgeData/N=1000/297-surge_w.csv b/SurgeData/297-surge_w.csv similarity index 100% rename from SurgeData/N=1000/297-surge_w.csv rename to SurgeData/297-surge_w.csv diff --git a/SurgeData/N=1000/297-time_c.csv b/SurgeData/297-time_c.csv similarity index 100% rename from SurgeData/N=1000/297-time_c.csv rename to SurgeData/297-time_c.csv diff --git a/SurgeData/N=1000/297-time_w.csv b/SurgeData/297-time_w.csv similarity index 100% rename from SurgeData/N=1000/297-time_w.csv rename to SurgeData/297-time_w.csv diff --git a/SurgeData/N=1000/297-waterlevel_c.csv b/SurgeData/297-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/297-waterlevel_c.csv rename to SurgeData/297-waterlevel_c.csv diff --git a/SurgeData/N=1000/297-waterlevel_w.csv b/SurgeData/297-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/297-waterlevel_w.csv rename to SurgeData/297-waterlevel_w.csv diff --git a/SurgeData/N=1000/298-peak+year_c.csv b/SurgeData/298-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/298-peak+year_c.csv rename to SurgeData/298-peak+year_c.csv diff --git a/SurgeData/N=1000/298-peak+year_w.csv b/SurgeData/298-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/298-peak+year_w.csv rename to SurgeData/298-peak+year_w.csv diff --git a/SurgeData/N=1000/298-peak_c.csv b/SurgeData/298-peak_c.csv similarity index 100% rename from SurgeData/N=1000/298-peak_c.csv rename to SurgeData/298-peak_c.csv diff --git a/SurgeData/N=1000/298-peak_w.csv b/SurgeData/298-peak_w.csv similarity index 100% rename from SurgeData/N=1000/298-peak_w.csv rename to SurgeData/298-peak_w.csv diff --git a/SurgeData/N=1000/298-surge_c.csv b/SurgeData/298-surge_c.csv similarity index 100% rename from SurgeData/N=1000/298-surge_c.csv rename to SurgeData/298-surge_c.csv diff --git a/SurgeData/N=1000/298-surge_w.csv b/SurgeData/298-surge_w.csv similarity index 100% rename from SurgeData/N=1000/298-surge_w.csv rename to SurgeData/298-surge_w.csv diff --git a/SurgeData/N=1000/298-time_c.csv b/SurgeData/298-time_c.csv similarity index 100% rename from SurgeData/N=1000/298-time_c.csv rename to SurgeData/298-time_c.csv diff --git a/SurgeData/N=1000/298-time_w.csv b/SurgeData/298-time_w.csv similarity index 100% rename from SurgeData/N=1000/298-time_w.csv rename to SurgeData/298-time_w.csv diff --git a/SurgeData/N=1000/298-waterlevel_c.csv b/SurgeData/298-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/298-waterlevel_c.csv rename to SurgeData/298-waterlevel_c.csv diff --git a/SurgeData/N=1000/298-waterlevel_w.csv b/SurgeData/298-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/298-waterlevel_w.csv rename to SurgeData/298-waterlevel_w.csv diff --git a/SurgeData/299-num_storm.csv b/SurgeData/299-num_storm.csv new file mode 100644 index 00000000..941ba6d9 --- /dev/null +++ b/SurgeData/299-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,3.0,6.0 +2022,1.0,5.0 +2023,3.0,5.0 +2024,1.0,2.0 +2025,2.0,2.0 +2026,0.0,3.0 +2027,5.0,5.0 +2028,2.0,5.0 +2029,1.0,6.0 +2030,4.0,8.0 +2031,4.0,4.0 +2032,5.0,6.0 +2033,0.0,4.0 +2034,0.0,0.0 +2035,1.0,3.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,3.0,3.0 +2039,1.0,4.0 +2040,0.0,6.0 +2041,3.0,5.0 +2042,2.0,4.0 +2043,0.0,2.0 +2044,2.0,2.0 +2045,1.0,5.0 +2046,1.0,4.0 +2047,1.0,5.0 +2048,3.0,7.0 +2049,3.0,6.0 +2050,2.0,3.0 +2051,3.0,3.0 +2052,0.0,7.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,3.0,1.0 +2056,3.0,5.0 +2057,3.0,2.0 +2058,1.0,6.0 +2059,1.0,5.0 +2060,1.0,7.0 +2061,2.0,4.0 +2062,0.0,3.0 +2063,0.0,5.0 +2064,2.0,1.0 +2065,1.0,8.0 +2066,2.0,7.0 +2067,2.0,3.0 +2068,2.0,7.0 +2069,0.0,5.0 +2070,0.0,7.0 +2071,0.0,3.0 +2072,3.0,7.0 +2073,4.0,4.0 +2074,0.0,8.0 +2075,2.0,5.0 +2076,3.0,4.0 +2077,1.0,6.0 +2078,0.0,4.0 +2079,0.0,4.0 +2080,0.0,1.0 +2081,1.0,4.0 +2082,1.0,3.0 +2083,1.0,2.0 +2084,3.0,4.0 +2085,1.0,6.0 +2086,0.0,8.0 +2087,2.0,4.0 +2088,1.0,2.0 +2089,4.0,3.0 +2090,2.0,1.0 +2091,2.0,6.0 +2092,1.0,5.0 +2093,1.0,2.0 +2094,2.0,3.0 +2095,2.0,3.0 +2096,3.0,4.0 +2097,4.0,5.0 +2098,3.0,6.0 +2099,2.0,3.0 +2100,5.0,8.0 diff --git a/SurgeData/N=1000/299-peak+year_c.csv b/SurgeData/299-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/299-peak+year_c.csv rename to SurgeData/299-peak+year_c.csv diff --git a/SurgeData/N=1000/299-peak+year_w.csv b/SurgeData/299-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/299-peak+year_w.csv rename to SurgeData/299-peak+year_w.csv diff --git a/SurgeData/N=1000/299-peak_c.csv b/SurgeData/299-peak_c.csv similarity index 100% rename from SurgeData/N=1000/299-peak_c.csv rename to SurgeData/299-peak_c.csv diff --git a/SurgeData/N=1000/299-peak_w.csv b/SurgeData/299-peak_w.csv similarity index 100% rename from SurgeData/N=1000/299-peak_w.csv rename to SurgeData/299-peak_w.csv diff --git a/SurgeData/N=1000/299-surge_c.csv b/SurgeData/299-surge_c.csv similarity index 100% rename from SurgeData/N=1000/299-surge_c.csv rename to SurgeData/299-surge_c.csv diff --git a/SurgeData/N=1000/299-surge_w.csv b/SurgeData/299-surge_w.csv similarity index 100% rename from SurgeData/N=1000/299-surge_w.csv rename to SurgeData/299-surge_w.csv diff --git a/SurgeData/N=1000/299-time_c.csv b/SurgeData/299-time_c.csv similarity index 100% rename from SurgeData/N=1000/299-time_c.csv rename to SurgeData/299-time_c.csv diff --git a/SurgeData/N=1000/299-time_w.csv b/SurgeData/299-time_w.csv similarity index 100% rename from SurgeData/N=1000/299-time_w.csv rename to SurgeData/299-time_w.csv diff --git a/SurgeData/N=1000/299-waterlevel_c.csv b/SurgeData/299-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/299-waterlevel_c.csv rename to SurgeData/299-waterlevel_c.csv diff --git a/SurgeData/N=1000/299-waterlevel_w.csv b/SurgeData/299-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/299-waterlevel_w.csv rename to SurgeData/299-waterlevel_w.csv diff --git a/SurgeData/N=1000/3-peak+year_c.csv b/SurgeData/3-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/3-peak+year_c.csv rename to SurgeData/3-peak+year_c.csv diff --git a/SurgeData/N=1000/3-peak+year_w.csv b/SurgeData/3-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/3-peak+year_w.csv rename to SurgeData/3-peak+year_w.csv diff --git a/SurgeData/N=1000/3-peak_c.csv b/SurgeData/3-peak_c.csv similarity index 100% rename from SurgeData/N=1000/3-peak_c.csv rename to SurgeData/3-peak_c.csv diff --git a/SurgeData/N=1000/3-peak_w.csv b/SurgeData/3-peak_w.csv similarity index 100% rename from SurgeData/N=1000/3-peak_w.csv rename to SurgeData/3-peak_w.csv diff --git a/SurgeData/N=1000/3-surge_c.csv b/SurgeData/3-surge_c.csv similarity index 100% rename from SurgeData/N=1000/3-surge_c.csv rename to SurgeData/3-surge_c.csv diff --git a/SurgeData/N=1000/3-surge_w.csv b/SurgeData/3-surge_w.csv similarity index 100% rename from SurgeData/N=1000/3-surge_w.csv rename to SurgeData/3-surge_w.csv diff --git a/SurgeData/N=1000/3-time_c.csv b/SurgeData/3-time_c.csv similarity index 100% rename from SurgeData/N=1000/3-time_c.csv rename to SurgeData/3-time_c.csv diff --git a/SurgeData/N=1000/3-time_w.csv b/SurgeData/3-time_w.csv similarity index 100% rename from SurgeData/N=1000/3-time_w.csv rename to SurgeData/3-time_w.csv diff --git a/SurgeData/N=1000/3-waterlevel_c.csv b/SurgeData/3-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/3-waterlevel_c.csv rename to SurgeData/3-waterlevel_c.csv diff --git a/SurgeData/N=1000/3-waterlevel_w.csv b/SurgeData/3-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/3-waterlevel_w.csv rename to SurgeData/3-waterlevel_w.csv diff --git a/SurgeData/N=1000/30-peak+year_c.csv b/SurgeData/30-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/30-peak+year_c.csv rename to SurgeData/30-peak+year_c.csv diff --git a/SurgeData/N=1000/30-peak+year_w.csv b/SurgeData/30-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/30-peak+year_w.csv rename to SurgeData/30-peak+year_w.csv diff --git a/SurgeData/N=1000/30-peak_c.csv b/SurgeData/30-peak_c.csv similarity index 100% rename from SurgeData/N=1000/30-peak_c.csv rename to SurgeData/30-peak_c.csv diff --git a/SurgeData/N=1000/30-peak_w.csv b/SurgeData/30-peak_w.csv similarity index 100% rename from SurgeData/N=1000/30-peak_w.csv rename to SurgeData/30-peak_w.csv diff --git a/SurgeData/N=1000/30-surge_c.csv b/SurgeData/30-surge_c.csv similarity index 100% rename from SurgeData/N=1000/30-surge_c.csv rename to SurgeData/30-surge_c.csv diff --git a/SurgeData/N=1000/30-surge_w.csv b/SurgeData/30-surge_w.csv similarity index 100% rename from SurgeData/N=1000/30-surge_w.csv rename to SurgeData/30-surge_w.csv diff --git a/SurgeData/N=1000/30-time_c.csv b/SurgeData/30-time_c.csv similarity index 100% rename from SurgeData/N=1000/30-time_c.csv rename to SurgeData/30-time_c.csv diff --git a/SurgeData/N=1000/30-time_w.csv b/SurgeData/30-time_w.csv similarity index 100% rename from SurgeData/N=1000/30-time_w.csv rename to SurgeData/30-time_w.csv diff --git a/SurgeData/N=1000/30-waterlevel_c.csv b/SurgeData/30-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/30-waterlevel_c.csv rename to SurgeData/30-waterlevel_c.csv diff --git a/SurgeData/N=1000/30-waterlevel_w.csv b/SurgeData/30-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/30-waterlevel_w.csv rename to SurgeData/30-waterlevel_w.csv diff --git a/SurgeData/300-num_storm.csv b/SurgeData/300-num_storm.csv new file mode 100644 index 00000000..7048c972 --- /dev/null +++ b/SurgeData/300-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,6.0 +2022,2.0,7.0 +2023,2.0,5.0 +2024,0.0,2.0 +2025,3.0,7.0 +2026,2.0,1.0 +2027,3.0,4.0 +2028,1.0,5.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,2.0,6.0 +2032,3.0,4.0 +2033,2.0,3.0 +2034,4.0,5.0 +2035,2.0,4.0 +2036,1.0,4.0 +2037,1.0,5.0 +2038,2.0,9.0 +2039,4.0,4.0 +2040,0.0,4.0 +2041,2.0,5.0 +2042,2.0,3.0 +2043,2.0,7.0 +2044,0.0,5.0 +2045,0.0,2.0 +2046,0.0,8.0 +2047,1.0,3.0 +2048,0.0,4.0 +2049,0.0,4.0 +2050,1.0,5.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,1.0,7.0 +2054,2.0,4.0 +2055,0.0,3.0 +2056,2.0,8.0 +2057,0.0,3.0 +2058,1.0,2.0 +2059,0.0,5.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,2.0,1.0 +2063,1.0,1.0 +2064,2.0,4.0 +2065,2.0,9.0 +2066,4.0,4.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,0.0,4.0 +2070,2.0,6.0 +2071,1.0,1.0 +2072,1.0,8.0 +2073,3.0,8.0 +2074,1.0,6.0 +2075,0.0,1.0 +2076,1.0,6.0 +2077,0.0,9.0 +2078,2.0,3.0 +2079,1.0,3.0 +2080,3.0,5.0 +2081,2.0,2.0 +2082,2.0,5.0 +2083,1.0,3.0 +2084,2.0,4.0 +2085,1.0,0.0 +2086,0.0,2.0 +2087,1.0,10.0 +2088,3.0,2.0 +2089,1.0,4.0 +2090,3.0,9.0 +2091,1.0,5.0 +2092,0.0,5.0 +2093,2.0,4.0 +2094,0.0,5.0 +2095,0.0,6.0 +2096,4.0,2.0 +2097,1.0,5.0 +2098,1.0,9.0 +2099,1.0,4.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/300-peak+year_c.csv b/SurgeData/300-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/300-peak+year_c.csv rename to SurgeData/300-peak+year_c.csv diff --git a/SurgeData/N=1000/300-peak+year_w.csv b/SurgeData/300-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/300-peak+year_w.csv rename to SurgeData/300-peak+year_w.csv diff --git a/SurgeData/N=1000/300-peak_c.csv b/SurgeData/300-peak_c.csv similarity index 100% rename from SurgeData/N=1000/300-peak_c.csv rename to SurgeData/300-peak_c.csv diff --git a/SurgeData/N=1000/300-peak_w.csv b/SurgeData/300-peak_w.csv similarity index 100% rename from SurgeData/N=1000/300-peak_w.csv rename to SurgeData/300-peak_w.csv diff --git a/SurgeData/N=1000/300-surge_c.csv b/SurgeData/300-surge_c.csv similarity index 100% rename from SurgeData/N=1000/300-surge_c.csv rename to SurgeData/300-surge_c.csv diff --git a/SurgeData/N=1000/300-surge_w.csv b/SurgeData/300-surge_w.csv similarity index 100% rename from SurgeData/N=1000/300-surge_w.csv rename to SurgeData/300-surge_w.csv diff --git a/SurgeData/N=1000/300-time_c.csv b/SurgeData/300-time_c.csv similarity index 100% rename from SurgeData/N=1000/300-time_c.csv rename to SurgeData/300-time_c.csv diff --git a/SurgeData/N=1000/300-time_w.csv b/SurgeData/300-time_w.csv similarity index 100% rename from SurgeData/N=1000/300-time_w.csv rename to SurgeData/300-time_w.csv diff --git a/SurgeData/N=1000/300-waterlevel_c.csv b/SurgeData/300-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/300-waterlevel_c.csv rename to SurgeData/300-waterlevel_c.csv diff --git a/SurgeData/N=1000/300-waterlevel_w.csv b/SurgeData/300-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/300-waterlevel_w.csv rename to SurgeData/300-waterlevel_w.csv diff --git a/SurgeData/N=1000/301-peak+year_c.csv b/SurgeData/301-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/301-peak+year_c.csv rename to SurgeData/301-peak+year_c.csv diff --git a/SurgeData/N=1000/301-peak+year_w.csv b/SurgeData/301-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/301-peak+year_w.csv rename to SurgeData/301-peak+year_w.csv diff --git a/SurgeData/N=1000/301-peak_c.csv b/SurgeData/301-peak_c.csv similarity index 100% rename from SurgeData/N=1000/301-peak_c.csv rename to SurgeData/301-peak_c.csv diff --git a/SurgeData/N=1000/301-peak_w.csv b/SurgeData/301-peak_w.csv similarity index 100% rename from SurgeData/N=1000/301-peak_w.csv rename to SurgeData/301-peak_w.csv diff --git a/SurgeData/N=1000/301-surge_c.csv b/SurgeData/301-surge_c.csv similarity index 100% rename from SurgeData/N=1000/301-surge_c.csv rename to SurgeData/301-surge_c.csv diff --git a/SurgeData/N=1000/301-surge_w.csv b/SurgeData/301-surge_w.csv similarity index 100% rename from SurgeData/N=1000/301-surge_w.csv rename to SurgeData/301-surge_w.csv diff --git a/SurgeData/N=1000/301-time_c.csv b/SurgeData/301-time_c.csv similarity index 100% rename from SurgeData/N=1000/301-time_c.csv rename to SurgeData/301-time_c.csv diff --git a/SurgeData/N=1000/301-time_w.csv b/SurgeData/301-time_w.csv similarity index 100% rename from SurgeData/N=1000/301-time_w.csv rename to SurgeData/301-time_w.csv diff --git a/SurgeData/N=1000/301-waterlevel_c.csv b/SurgeData/301-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/301-waterlevel_c.csv rename to SurgeData/301-waterlevel_c.csv diff --git a/SurgeData/N=1000/301-waterlevel_w.csv b/SurgeData/301-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/301-waterlevel_w.csv rename to SurgeData/301-waterlevel_w.csv diff --git a/SurgeData/302-num_storm.csv b/SurgeData/302-num_storm.csv new file mode 100644 index 00000000..a209d204 --- /dev/null +++ b/SurgeData/302-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,8.0 +2021,2.0,4.0 +2022,4.0,5.0 +2023,1.0,4.0 +2024,1.0,6.0 +2025,1.0,8.0 +2026,2.0,7.0 +2027,1.0,3.0 +2028,3.0,6.0 +2029,2.0,1.0 +2030,5.0,5.0 +2031,2.0,4.0 +2032,1.0,7.0 +2033,4.0,3.0 +2034,0.0,5.0 +2035,4.0,6.0 +2036,0.0,3.0 +2037,1.0,8.0 +2038,1.0,0.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,0.0,6.0 +2042,0.0,4.0 +2043,1.0,2.0 +2044,1.0,8.0 +2045,1.0,4.0 +2046,0.0,3.0 +2047,5.0,1.0 +2048,1.0,0.0 +2049,0.0,5.0 +2050,2.0,4.0 +2051,3.0,4.0 +2052,2.0,1.0 +2053,3.0,3.0 +2054,2.0,4.0 +2055,2.0,4.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,0.0,3.0 +2059,2.0,6.0 +2060,3.0,3.0 +2061,4.0,3.0 +2062,2.0,5.0 +2063,0.0,2.0 +2064,1.0,7.0 +2065,2.0,10.0 +2066,1.0,5.0 +2067,1.0,4.0 +2068,0.0,6.0 +2069,1.0,6.0 +2070,2.0,5.0 +2071,0.0,3.0 +2072,4.0,2.0 +2073,2.0,5.0 +2074,0.0,5.0 +2075,0.0,5.0 +2076,3.0,4.0 +2077,1.0,2.0 +2078,1.0,5.0 +2079,0.0,4.0 +2080,3.0,5.0 +2081,0.0,6.0 +2082,4.0,3.0 +2083,2.0,3.0 +2084,1.0,3.0 +2085,2.0,5.0 +2086,1.0,3.0 +2087,0.0,2.0 +2088,2.0,7.0 +2089,1.0,3.0 +2090,1.0,1.0 +2091,1.0,3.0 +2092,0.0,1.0 +2093,0.0,5.0 +2094,4.0,3.0 +2095,3.0,6.0 +2096,2.0,3.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,0.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/302-peak+year_c.csv b/SurgeData/302-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/302-peak+year_c.csv rename to SurgeData/302-peak+year_c.csv diff --git a/SurgeData/N=1000/302-peak+year_w.csv b/SurgeData/302-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/302-peak+year_w.csv rename to SurgeData/302-peak+year_w.csv diff --git a/SurgeData/N=1000/302-peak_c.csv b/SurgeData/302-peak_c.csv similarity index 100% rename from SurgeData/N=1000/302-peak_c.csv rename to SurgeData/302-peak_c.csv diff --git a/SurgeData/N=1000/302-peak_w.csv b/SurgeData/302-peak_w.csv similarity index 100% rename from SurgeData/N=1000/302-peak_w.csv rename to SurgeData/302-peak_w.csv diff --git a/SurgeData/N=1000/302-surge_c.csv b/SurgeData/302-surge_c.csv similarity index 100% rename from SurgeData/N=1000/302-surge_c.csv rename to SurgeData/302-surge_c.csv diff --git a/SurgeData/N=1000/302-surge_w.csv b/SurgeData/302-surge_w.csv similarity index 100% rename from SurgeData/N=1000/302-surge_w.csv rename to SurgeData/302-surge_w.csv diff --git a/SurgeData/N=1000/302-time_c.csv b/SurgeData/302-time_c.csv similarity index 100% rename from SurgeData/N=1000/302-time_c.csv rename to SurgeData/302-time_c.csv diff --git a/SurgeData/N=1000/302-time_w.csv b/SurgeData/302-time_w.csv similarity index 100% rename from SurgeData/N=1000/302-time_w.csv rename to SurgeData/302-time_w.csv diff --git a/SurgeData/N=1000/302-waterlevel_c.csv b/SurgeData/302-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/302-waterlevel_c.csv rename to SurgeData/302-waterlevel_c.csv diff --git a/SurgeData/N=1000/302-waterlevel_w.csv b/SurgeData/302-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/302-waterlevel_w.csv rename to SurgeData/302-waterlevel_w.csv diff --git a/SurgeData/303-num_storm.csv b/SurgeData/303-num_storm.csv new file mode 100644 index 00000000..7dbd57d1 --- /dev/null +++ b/SurgeData/303-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,2.0,6.0 +2022,1.0,3.0 +2023,0.0,7.0 +2024,3.0,5.0 +2025,2.0,3.0 +2026,2.0,3.0 +2027,1.0,7.0 +2028,0.0,4.0 +2029,1.0,2.0 +2030,0.0,10.0 +2031,2.0,8.0 +2032,1.0,3.0 +2033,0.0,3.0 +2034,2.0,4.0 +2035,2.0,4.0 +2036,2.0,6.0 +2037,2.0,1.0 +2038,0.0,4.0 +2039,0.0,5.0 +2040,1.0,3.0 +2041,2.0,5.0 +2042,0.0,5.0 +2043,2.0,5.0 +2044,0.0,1.0 +2045,0.0,4.0 +2046,1.0,0.0 +2047,2.0,7.0 +2048,0.0,3.0 +2049,3.0,8.0 +2050,5.0,2.0 +2051,1.0,4.0 +2052,3.0,4.0 +2053,0.0,5.0 +2054,1.0,5.0 +2055,2.0,4.0 +2056,0.0,1.0 +2057,1.0,5.0 +2058,0.0,5.0 +2059,0.0,3.0 +2060,1.0,1.0 +2061,2.0,1.0 +2062,0.0,4.0 +2063,3.0,7.0 +2064,2.0,6.0 +2065,1.0,0.0 +2066,2.0,6.0 +2067,0.0,2.0 +2068,2.0,6.0 +2069,3.0,1.0 +2070,1.0,4.0 +2071,2.0,6.0 +2072,1.0,6.0 +2073,2.0,6.0 +2074,4.0,8.0 +2075,2.0,3.0 +2076,0.0,3.0 +2077,2.0,0.0 +2078,2.0,6.0 +2079,4.0,3.0 +2080,2.0,1.0 +2081,1.0,1.0 +2082,1.0,5.0 +2083,2.0,4.0 +2084,0.0,9.0 +2085,1.0,4.0 +2086,0.0,1.0 +2087,0.0,3.0 +2088,2.0,2.0 +2089,1.0,4.0 +2090,1.0,5.0 +2091,0.0,3.0 +2092,1.0,3.0 +2093,1.0,8.0 +2094,1.0,5.0 +2095,2.0,2.0 +2096,1.0,2.0 +2097,2.0,4.0 +2098,2.0,2.0 +2099,1.0,2.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/303-peak+year_c.csv b/SurgeData/303-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/303-peak+year_c.csv rename to SurgeData/303-peak+year_c.csv diff --git a/SurgeData/N=1000/303-peak+year_w.csv b/SurgeData/303-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/303-peak+year_w.csv rename to SurgeData/303-peak+year_w.csv diff --git a/SurgeData/N=1000/303-peak_c.csv b/SurgeData/303-peak_c.csv similarity index 100% rename from SurgeData/N=1000/303-peak_c.csv rename to SurgeData/303-peak_c.csv diff --git a/SurgeData/N=1000/303-peak_w.csv b/SurgeData/303-peak_w.csv similarity index 100% rename from SurgeData/N=1000/303-peak_w.csv rename to SurgeData/303-peak_w.csv diff --git a/SurgeData/N=1000/303-surge_c.csv b/SurgeData/303-surge_c.csv similarity index 100% rename from SurgeData/N=1000/303-surge_c.csv rename to SurgeData/303-surge_c.csv diff --git a/SurgeData/N=1000/303-surge_w.csv b/SurgeData/303-surge_w.csv similarity index 100% rename from SurgeData/N=1000/303-surge_w.csv rename to SurgeData/303-surge_w.csv diff --git a/SurgeData/N=1000/303-time_c.csv b/SurgeData/303-time_c.csv similarity index 100% rename from SurgeData/N=1000/303-time_c.csv rename to SurgeData/303-time_c.csv diff --git a/SurgeData/N=1000/303-time_w.csv b/SurgeData/303-time_w.csv similarity index 100% rename from SurgeData/N=1000/303-time_w.csv rename to SurgeData/303-time_w.csv diff --git a/SurgeData/N=1000/303-waterlevel_c.csv b/SurgeData/303-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/303-waterlevel_c.csv rename to SurgeData/303-waterlevel_c.csv diff --git a/SurgeData/N=1000/303-waterlevel_w.csv b/SurgeData/303-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/303-waterlevel_w.csv rename to SurgeData/303-waterlevel_w.csv diff --git a/SurgeData/N=1000/304-peak+year_c.csv b/SurgeData/304-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/304-peak+year_c.csv rename to SurgeData/304-peak+year_c.csv diff --git a/SurgeData/N=1000/304-peak+year_w.csv b/SurgeData/304-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/304-peak+year_w.csv rename to SurgeData/304-peak+year_w.csv diff --git a/SurgeData/N=1000/304-peak_c.csv b/SurgeData/304-peak_c.csv similarity index 100% rename from SurgeData/N=1000/304-peak_c.csv rename to SurgeData/304-peak_c.csv diff --git a/SurgeData/N=1000/304-peak_w.csv b/SurgeData/304-peak_w.csv similarity index 100% rename from SurgeData/N=1000/304-peak_w.csv rename to SurgeData/304-peak_w.csv diff --git a/SurgeData/N=1000/304-surge_c.csv b/SurgeData/304-surge_c.csv similarity index 100% rename from SurgeData/N=1000/304-surge_c.csv rename to SurgeData/304-surge_c.csv diff --git a/SurgeData/N=1000/304-surge_w.csv b/SurgeData/304-surge_w.csv similarity index 100% rename from SurgeData/N=1000/304-surge_w.csv rename to SurgeData/304-surge_w.csv diff --git a/SurgeData/N=1000/304-time_c.csv b/SurgeData/304-time_c.csv similarity index 100% rename from SurgeData/N=1000/304-time_c.csv rename to SurgeData/304-time_c.csv diff --git a/SurgeData/N=1000/304-time_w.csv b/SurgeData/304-time_w.csv similarity index 100% rename from SurgeData/N=1000/304-time_w.csv rename to SurgeData/304-time_w.csv diff --git a/SurgeData/N=1000/304-waterlevel_c.csv b/SurgeData/304-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/304-waterlevel_c.csv rename to SurgeData/304-waterlevel_c.csv diff --git a/SurgeData/N=1000/304-waterlevel_w.csv b/SurgeData/304-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/304-waterlevel_w.csv rename to SurgeData/304-waterlevel_w.csv diff --git a/SurgeData/305-num_storm.csv b/SurgeData/305-num_storm.csv new file mode 100644 index 00000000..5ba0c842 --- /dev/null +++ b/SurgeData/305-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,0.0 +2022,5.0,3.0 +2023,0.0,3.0 +2024,0.0,0.0 +2025,1.0,5.0 +2026,1.0,4.0 +2027,0.0,6.0 +2028,1.0,4.0 +2029,1.0,6.0 +2030,2.0,6.0 +2031,2.0,6.0 +2032,2.0,3.0 +2033,1.0,6.0 +2034,1.0,6.0 +2035,0.0,4.0 +2036,0.0,2.0 +2037,2.0,4.0 +2038,0.0,3.0 +2039,3.0,1.0 +2040,2.0,3.0 +2041,0.0,1.0 +2042,3.0,2.0 +2043,3.0,5.0 +2044,2.0,5.0 +2045,1.0,1.0 +2046,3.0,4.0 +2047,0.0,2.0 +2048,2.0,5.0 +2049,1.0,5.0 +2050,0.0,2.0 +2051,0.0,6.0 +2052,3.0,4.0 +2053,2.0,3.0 +2054,1.0,5.0 +2055,2.0,5.0 +2056,0.0,10.0 +2057,3.0,6.0 +2058,2.0,2.0 +2059,0.0,11.0 +2060,1.0,4.0 +2061,3.0,1.0 +2062,2.0,2.0 +2063,3.0,4.0 +2064,0.0,2.0 +2065,2.0,2.0 +2066,2.0,6.0 +2067,1.0,5.0 +2068,2.0,3.0 +2069,1.0,2.0 +2070,2.0,8.0 +2071,1.0,5.0 +2072,0.0,2.0 +2073,2.0,5.0 +2074,1.0,3.0 +2075,0.0,6.0 +2076,1.0,3.0 +2077,1.0,3.0 +2078,1.0,7.0 +2079,1.0,5.0 +2080,1.0,5.0 +2081,1.0,4.0 +2082,0.0,5.0 +2083,1.0,5.0 +2084,1.0,7.0 +2085,3.0,7.0 +2086,2.0,4.0 +2087,1.0,8.0 +2088,0.0,9.0 +2089,2.0,6.0 +2090,0.0,3.0 +2091,2.0,3.0 +2092,0.0,4.0 +2093,3.0,6.0 +2094,1.0,3.0 +2095,1.0,9.0 +2096,2.0,3.0 +2097,1.0,4.0 +2098,1.0,8.0 +2099,2.0,8.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/305-peak+year_c.csv b/SurgeData/305-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/305-peak+year_c.csv rename to SurgeData/305-peak+year_c.csv diff --git a/SurgeData/N=1000/305-peak+year_w.csv b/SurgeData/305-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/305-peak+year_w.csv rename to SurgeData/305-peak+year_w.csv diff --git a/SurgeData/N=1000/305-peak_c.csv b/SurgeData/305-peak_c.csv similarity index 100% rename from SurgeData/N=1000/305-peak_c.csv rename to SurgeData/305-peak_c.csv diff --git a/SurgeData/N=1000/305-peak_w.csv b/SurgeData/305-peak_w.csv similarity index 100% rename from SurgeData/N=1000/305-peak_w.csv rename to SurgeData/305-peak_w.csv diff --git a/SurgeData/N=1000/305-surge_c.csv b/SurgeData/305-surge_c.csv similarity index 100% rename from SurgeData/N=1000/305-surge_c.csv rename to SurgeData/305-surge_c.csv diff --git a/SurgeData/N=1000/305-surge_w.csv b/SurgeData/305-surge_w.csv similarity index 100% rename from SurgeData/N=1000/305-surge_w.csv rename to SurgeData/305-surge_w.csv diff --git a/SurgeData/N=1000/305-time_c.csv b/SurgeData/305-time_c.csv similarity index 100% rename from SurgeData/N=1000/305-time_c.csv rename to SurgeData/305-time_c.csv diff --git a/SurgeData/N=1000/305-time_w.csv b/SurgeData/305-time_w.csv similarity index 100% rename from SurgeData/N=1000/305-time_w.csv rename to SurgeData/305-time_w.csv diff --git a/SurgeData/N=1000/305-waterlevel_c.csv b/SurgeData/305-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/305-waterlevel_c.csv rename to SurgeData/305-waterlevel_c.csv diff --git a/SurgeData/N=1000/305-waterlevel_w.csv b/SurgeData/305-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/305-waterlevel_w.csv rename to SurgeData/305-waterlevel_w.csv diff --git a/SurgeData/N=1000/306-peak+year_c.csv b/SurgeData/306-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/306-peak+year_c.csv rename to SurgeData/306-peak+year_c.csv diff --git a/SurgeData/N=1000/306-peak+year_w.csv b/SurgeData/306-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/306-peak+year_w.csv rename to SurgeData/306-peak+year_w.csv diff --git a/SurgeData/N=1000/306-peak_c.csv b/SurgeData/306-peak_c.csv similarity index 100% rename from SurgeData/N=1000/306-peak_c.csv rename to SurgeData/306-peak_c.csv diff --git a/SurgeData/N=1000/306-peak_w.csv b/SurgeData/306-peak_w.csv similarity index 100% rename from SurgeData/N=1000/306-peak_w.csv rename to SurgeData/306-peak_w.csv diff --git a/SurgeData/N=1000/306-surge_c.csv b/SurgeData/306-surge_c.csv similarity index 100% rename from SurgeData/N=1000/306-surge_c.csv rename to SurgeData/306-surge_c.csv diff --git a/SurgeData/N=1000/306-surge_w.csv b/SurgeData/306-surge_w.csv similarity index 100% rename from SurgeData/N=1000/306-surge_w.csv rename to SurgeData/306-surge_w.csv diff --git a/SurgeData/N=1000/306-time_c.csv b/SurgeData/306-time_c.csv similarity index 100% rename from SurgeData/N=1000/306-time_c.csv rename to SurgeData/306-time_c.csv diff --git a/SurgeData/N=1000/306-time_w.csv b/SurgeData/306-time_w.csv similarity index 100% rename from SurgeData/N=1000/306-time_w.csv rename to SurgeData/306-time_w.csv diff --git a/SurgeData/N=1000/306-waterlevel_c.csv b/SurgeData/306-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/306-waterlevel_c.csv rename to SurgeData/306-waterlevel_c.csv diff --git a/SurgeData/N=1000/306-waterlevel_w.csv b/SurgeData/306-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/306-waterlevel_w.csv rename to SurgeData/306-waterlevel_w.csv diff --git a/SurgeData/307-num_storm.csv b/SurgeData/307-num_storm.csv new file mode 100644 index 00000000..69d5584e --- /dev/null +++ b/SurgeData/307-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,0.0,4.0 +2023,1.0,4.0 +2024,0.0,9.0 +2025,3.0,3.0 +2026,0.0,6.0 +2027,3.0,1.0 +2028,1.0,7.0 +2029,3.0,4.0 +2030,3.0,3.0 +2031,3.0,6.0 +2032,1.0,5.0 +2033,3.0,0.0 +2034,3.0,3.0 +2035,2.0,3.0 +2036,2.0,10.0 +2037,0.0,1.0 +2038,2.0,5.0 +2039,2.0,5.0 +2040,0.0,3.0 +2041,1.0,5.0 +2042,3.0,3.0 +2043,2.0,6.0 +2044,0.0,4.0 +2045,1.0,6.0 +2046,1.0,4.0 +2047,0.0,3.0 +2048,0.0,1.0 +2049,1.0,2.0 +2050,2.0,2.0 +2051,1.0,4.0 +2052,0.0,5.0 +2053,4.0,1.0 +2054,2.0,3.0 +2055,3.0,7.0 +2056,0.0,3.0 +2057,0.0,4.0 +2058,2.0,6.0 +2059,4.0,4.0 +2060,3.0,3.0 +2061,1.0,4.0 +2062,4.0,5.0 +2063,1.0,5.0 +2064,2.0,6.0 +2065,5.0,4.0 +2066,1.0,5.0 +2067,4.0,5.0 +2068,1.0,1.0 +2069,1.0,7.0 +2070,1.0,5.0 +2071,3.0,6.0 +2072,1.0,3.0 +2073,2.0,7.0 +2074,2.0,2.0 +2075,0.0,0.0 +2076,2.0,3.0 +2077,2.0,5.0 +2078,2.0,5.0 +2079,3.0,7.0 +2080,0.0,2.0 +2081,0.0,5.0 +2082,5.0,6.0 +2083,1.0,1.0 +2084,1.0,5.0 +2085,1.0,5.0 +2086,0.0,3.0 +2087,5.0,3.0 +2088,1.0,1.0 +2089,1.0,5.0 +2090,0.0,2.0 +2091,4.0,5.0 +2092,2.0,3.0 +2093,0.0,1.0 +2094,0.0,4.0 +2095,2.0,3.0 +2096,1.0,4.0 +2097,0.0,5.0 +2098,3.0,3.0 +2099,2.0,5.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/307-peak+year_c.csv b/SurgeData/307-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/307-peak+year_c.csv rename to SurgeData/307-peak+year_c.csv diff --git a/SurgeData/N=1000/307-peak+year_w.csv b/SurgeData/307-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/307-peak+year_w.csv rename to SurgeData/307-peak+year_w.csv diff --git a/SurgeData/N=1000/307-peak_c.csv b/SurgeData/307-peak_c.csv similarity index 100% rename from SurgeData/N=1000/307-peak_c.csv rename to SurgeData/307-peak_c.csv diff --git a/SurgeData/N=1000/307-peak_w.csv b/SurgeData/307-peak_w.csv similarity index 100% rename from SurgeData/N=1000/307-peak_w.csv rename to SurgeData/307-peak_w.csv diff --git a/SurgeData/N=1000/307-surge_c.csv b/SurgeData/307-surge_c.csv similarity index 100% rename from SurgeData/N=1000/307-surge_c.csv rename to SurgeData/307-surge_c.csv diff --git a/SurgeData/N=1000/307-surge_w.csv b/SurgeData/307-surge_w.csv similarity index 100% rename from SurgeData/N=1000/307-surge_w.csv rename to SurgeData/307-surge_w.csv diff --git a/SurgeData/N=1000/307-time_c.csv b/SurgeData/307-time_c.csv similarity index 100% rename from SurgeData/N=1000/307-time_c.csv rename to SurgeData/307-time_c.csv diff --git a/SurgeData/N=1000/307-time_w.csv b/SurgeData/307-time_w.csv similarity index 100% rename from SurgeData/N=1000/307-time_w.csv rename to SurgeData/307-time_w.csv diff --git a/SurgeData/N=1000/307-waterlevel_c.csv b/SurgeData/307-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/307-waterlevel_c.csv rename to SurgeData/307-waterlevel_c.csv diff --git a/SurgeData/N=1000/307-waterlevel_w.csv b/SurgeData/307-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/307-waterlevel_w.csv rename to SurgeData/307-waterlevel_w.csv diff --git a/SurgeData/N=1000/308-peak+year_c.csv b/SurgeData/308-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/308-peak+year_c.csv rename to SurgeData/308-peak+year_c.csv diff --git a/SurgeData/N=1000/308-peak+year_w.csv b/SurgeData/308-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/308-peak+year_w.csv rename to SurgeData/308-peak+year_w.csv diff --git a/SurgeData/N=1000/308-peak_c.csv b/SurgeData/308-peak_c.csv similarity index 100% rename from SurgeData/N=1000/308-peak_c.csv rename to SurgeData/308-peak_c.csv diff --git a/SurgeData/N=1000/308-peak_w.csv b/SurgeData/308-peak_w.csv similarity index 100% rename from SurgeData/N=1000/308-peak_w.csv rename to SurgeData/308-peak_w.csv diff --git a/SurgeData/N=1000/308-surge_c.csv b/SurgeData/308-surge_c.csv similarity index 100% rename from SurgeData/N=1000/308-surge_c.csv rename to SurgeData/308-surge_c.csv diff --git a/SurgeData/N=1000/308-surge_w.csv b/SurgeData/308-surge_w.csv similarity index 100% rename from SurgeData/N=1000/308-surge_w.csv rename to SurgeData/308-surge_w.csv diff --git a/SurgeData/N=1000/308-time_c.csv b/SurgeData/308-time_c.csv similarity index 100% rename from SurgeData/N=1000/308-time_c.csv rename to SurgeData/308-time_c.csv diff --git a/SurgeData/N=1000/308-time_w.csv b/SurgeData/308-time_w.csv similarity index 100% rename from SurgeData/N=1000/308-time_w.csv rename to SurgeData/308-time_w.csv diff --git a/SurgeData/N=1000/308-waterlevel_c.csv b/SurgeData/308-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/308-waterlevel_c.csv rename to SurgeData/308-waterlevel_c.csv diff --git a/SurgeData/N=1000/308-waterlevel_w.csv b/SurgeData/308-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/308-waterlevel_w.csv rename to SurgeData/308-waterlevel_w.csv diff --git a/SurgeData/309-num_storm.csv b/SurgeData/309-num_storm.csv new file mode 100644 index 00000000..2c7b0c8a --- /dev/null +++ b/SurgeData/309-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,2.0,6.0 +2022,3.0,5.0 +2023,2.0,5.0 +2024,2.0,3.0 +2025,0.0,4.0 +2026,2.0,3.0 +2027,2.0,0.0 +2028,3.0,3.0 +2029,0.0,6.0 +2030,0.0,5.0 +2031,0.0,4.0 +2032,0.0,6.0 +2033,1.0,3.0 +2034,1.0,5.0 +2035,2.0,5.0 +2036,1.0,2.0 +2037,0.0,5.0 +2038,1.0,6.0 +2039,0.0,2.0 +2040,1.0,2.0 +2041,1.0,5.0 +2042,2.0,5.0 +2043,0.0,4.0 +2044,2.0,2.0 +2045,3.0,5.0 +2046,1.0,5.0 +2047,1.0,5.0 +2048,0.0,4.0 +2049,2.0,5.0 +2050,3.0,4.0 +2051,2.0,2.0 +2052,0.0,3.0 +2053,2.0,9.0 +2054,0.0,4.0 +2055,3.0,3.0 +2056,1.0,2.0 +2057,0.0,2.0 +2058,0.0,1.0 +2059,0.0,3.0 +2060,1.0,6.0 +2061,2.0,2.0 +2062,2.0,5.0 +2063,0.0,5.0 +2064,2.0,1.0 +2065,1.0,3.0 +2066,1.0,11.0 +2067,1.0,3.0 +2068,1.0,4.0 +2069,1.0,6.0 +2070,0.0,5.0 +2071,3.0,7.0 +2072,2.0,2.0 +2073,3.0,1.0 +2074,2.0,2.0 +2075,0.0,4.0 +2076,4.0,4.0 +2077,4.0,1.0 +2078,0.0,2.0 +2079,1.0,9.0 +2080,1.0,5.0 +2081,0.0,2.0 +2082,0.0,5.0 +2083,1.0,5.0 +2084,2.0,6.0 +2085,0.0,3.0 +2086,3.0,2.0 +2087,4.0,2.0 +2088,2.0,1.0 +2089,2.0,5.0 +2090,0.0,2.0 +2091,0.0,4.0 +2092,2.0,5.0 +2093,2.0,7.0 +2094,1.0,5.0 +2095,2.0,6.0 +2096,3.0,8.0 +2097,3.0,3.0 +2098,1.0,4.0 +2099,2.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/309-peak+year_c.csv b/SurgeData/309-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/309-peak+year_c.csv rename to SurgeData/309-peak+year_c.csv diff --git a/SurgeData/N=1000/309-peak+year_w.csv b/SurgeData/309-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/309-peak+year_w.csv rename to SurgeData/309-peak+year_w.csv diff --git a/SurgeData/N=1000/309-peak_c.csv b/SurgeData/309-peak_c.csv similarity index 100% rename from SurgeData/N=1000/309-peak_c.csv rename to SurgeData/309-peak_c.csv diff --git a/SurgeData/N=1000/309-peak_w.csv b/SurgeData/309-peak_w.csv similarity index 100% rename from SurgeData/N=1000/309-peak_w.csv rename to SurgeData/309-peak_w.csv diff --git a/SurgeData/N=1000/309-surge_c.csv b/SurgeData/309-surge_c.csv similarity index 100% rename from SurgeData/N=1000/309-surge_c.csv rename to SurgeData/309-surge_c.csv diff --git a/SurgeData/N=1000/309-surge_w.csv b/SurgeData/309-surge_w.csv similarity index 100% rename from SurgeData/N=1000/309-surge_w.csv rename to SurgeData/309-surge_w.csv diff --git a/SurgeData/N=1000/309-time_c.csv b/SurgeData/309-time_c.csv similarity index 100% rename from SurgeData/N=1000/309-time_c.csv rename to SurgeData/309-time_c.csv diff --git a/SurgeData/N=1000/309-time_w.csv b/SurgeData/309-time_w.csv similarity index 100% rename from SurgeData/N=1000/309-time_w.csv rename to SurgeData/309-time_w.csv diff --git a/SurgeData/N=1000/309-waterlevel_c.csv b/SurgeData/309-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/309-waterlevel_c.csv rename to SurgeData/309-waterlevel_c.csv diff --git a/SurgeData/N=1000/309-waterlevel_w.csv b/SurgeData/309-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/309-waterlevel_w.csv rename to SurgeData/309-waterlevel_w.csv diff --git a/SurgeData/N=1000/31-peak+year_c.csv b/SurgeData/31-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/31-peak+year_c.csv rename to SurgeData/31-peak+year_c.csv diff --git a/SurgeData/N=1000/31-peak+year_w.csv b/SurgeData/31-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/31-peak+year_w.csv rename to SurgeData/31-peak+year_w.csv diff --git a/SurgeData/N=1000/31-peak_c.csv b/SurgeData/31-peak_c.csv similarity index 100% rename from SurgeData/N=1000/31-peak_c.csv rename to SurgeData/31-peak_c.csv diff --git a/SurgeData/N=1000/31-peak_w.csv b/SurgeData/31-peak_w.csv similarity index 100% rename from SurgeData/N=1000/31-peak_w.csv rename to SurgeData/31-peak_w.csv diff --git a/SurgeData/N=1000/31-surge_c.csv b/SurgeData/31-surge_c.csv similarity index 100% rename from SurgeData/N=1000/31-surge_c.csv rename to SurgeData/31-surge_c.csv diff --git a/SurgeData/N=1000/31-surge_w.csv b/SurgeData/31-surge_w.csv similarity index 100% rename from SurgeData/N=1000/31-surge_w.csv rename to SurgeData/31-surge_w.csv diff --git a/SurgeData/N=1000/31-time_c.csv b/SurgeData/31-time_c.csv similarity index 100% rename from SurgeData/N=1000/31-time_c.csv rename to SurgeData/31-time_c.csv diff --git a/SurgeData/N=1000/31-time_w.csv b/SurgeData/31-time_w.csv similarity index 100% rename from SurgeData/N=1000/31-time_w.csv rename to SurgeData/31-time_w.csv diff --git a/SurgeData/N=1000/31-waterlevel_c.csv b/SurgeData/31-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/31-waterlevel_c.csv rename to SurgeData/31-waterlevel_c.csv diff --git a/SurgeData/N=1000/31-waterlevel_w.csv b/SurgeData/31-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/31-waterlevel_w.csv rename to SurgeData/31-waterlevel_w.csv diff --git a/SurgeData/310-num_storm.csv b/SurgeData/310-num_storm.csv new file mode 100644 index 00000000..8bfe0670 --- /dev/null +++ b/SurgeData/310-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,2.0,6.0 +2022,2.0,4.0 +2023,1.0,4.0 +2024,1.0,4.0 +2025,4.0,2.0 +2026,0.0,1.0 +2027,1.0,5.0 +2028,1.0,3.0 +2029,2.0,8.0 +2030,1.0,5.0 +2031,3.0,6.0 +2032,0.0,4.0 +2033,2.0,3.0 +2034,3.0,3.0 +2035,3.0,2.0 +2036,1.0,5.0 +2037,1.0,0.0 +2038,0.0,2.0 +2039,0.0,2.0 +2040,2.0,3.0 +2041,1.0,6.0 +2042,4.0,3.0 +2043,2.0,2.0 +2044,1.0,2.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,4.0,4.0 +2048,3.0,4.0 +2049,1.0,6.0 +2050,3.0,6.0 +2051,1.0,10.0 +2052,2.0,2.0 +2053,1.0,5.0 +2054,2.0,4.0 +2055,1.0,5.0 +2056,1.0,1.0 +2057,5.0,5.0 +2058,2.0,6.0 +2059,5.0,5.0 +2060,0.0,0.0 +2061,1.0,4.0 +2062,3.0,2.0 +2063,0.0,3.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,0.0,4.0 +2067,4.0,2.0 +2068,2.0,2.0 +2069,0.0,5.0 +2070,0.0,3.0 +2071,1.0,7.0 +2072,3.0,4.0 +2073,0.0,3.0 +2074,0.0,4.0 +2075,3.0,1.0 +2076,1.0,4.0 +2077,0.0,6.0 +2078,2.0,3.0 +2079,3.0,3.0 +2080,1.0,5.0 +2081,2.0,1.0 +2082,2.0,3.0 +2083,1.0,4.0 +2084,1.0,3.0 +2085,0.0,4.0 +2086,0.0,7.0 +2087,5.0,5.0 +2088,1.0,7.0 +2089,1.0,1.0 +2090,1.0,3.0 +2091,1.0,4.0 +2092,0.0,6.0 +2093,1.0,2.0 +2094,2.0,2.0 +2095,0.0,3.0 +2096,1.0,6.0 +2097,3.0,2.0 +2098,2.0,4.0 +2099,5.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/310-peak+year_c.csv b/SurgeData/310-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/310-peak+year_c.csv rename to SurgeData/310-peak+year_c.csv diff --git a/SurgeData/N=1000/310-peak+year_w.csv b/SurgeData/310-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/310-peak+year_w.csv rename to SurgeData/310-peak+year_w.csv diff --git a/SurgeData/N=1000/310-peak_c.csv b/SurgeData/310-peak_c.csv similarity index 100% rename from SurgeData/N=1000/310-peak_c.csv rename to SurgeData/310-peak_c.csv diff --git a/SurgeData/N=1000/310-peak_w.csv b/SurgeData/310-peak_w.csv similarity index 100% rename from SurgeData/N=1000/310-peak_w.csv rename to SurgeData/310-peak_w.csv diff --git a/SurgeData/N=1000/310-surge_c.csv b/SurgeData/310-surge_c.csv similarity index 100% rename from SurgeData/N=1000/310-surge_c.csv rename to SurgeData/310-surge_c.csv diff --git a/SurgeData/N=1000/310-surge_w.csv b/SurgeData/310-surge_w.csv similarity index 100% rename from SurgeData/N=1000/310-surge_w.csv rename to SurgeData/310-surge_w.csv diff --git a/SurgeData/N=1000/310-time_c.csv b/SurgeData/310-time_c.csv similarity index 100% rename from SurgeData/N=1000/310-time_c.csv rename to SurgeData/310-time_c.csv diff --git a/SurgeData/N=1000/310-time_w.csv b/SurgeData/310-time_w.csv similarity index 100% rename from SurgeData/N=1000/310-time_w.csv rename to SurgeData/310-time_w.csv diff --git a/SurgeData/N=1000/310-waterlevel_c.csv b/SurgeData/310-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/310-waterlevel_c.csv rename to SurgeData/310-waterlevel_c.csv diff --git a/SurgeData/N=1000/310-waterlevel_w.csv b/SurgeData/310-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/310-waterlevel_w.csv rename to SurgeData/310-waterlevel_w.csv diff --git a/SurgeData/311-num_storm.csv b/SurgeData/311-num_storm.csv new file mode 100644 index 00000000..50bf4c9f --- /dev/null +++ b/SurgeData/311-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,1.0,5.0 +2022,1.0,5.0 +2023,0.0,2.0 +2024,1.0,2.0 +2025,1.0,6.0 +2026,2.0,8.0 +2027,3.0,2.0 +2028,3.0,2.0 +2029,1.0,2.0 +2030,2.0,5.0 +2031,3.0,6.0 +2032,4.0,7.0 +2033,1.0,3.0 +2034,1.0,4.0 +2035,2.0,4.0 +2036,2.0,4.0 +2037,2.0,3.0 +2038,1.0,7.0 +2039,2.0,1.0 +2040,2.0,1.0 +2041,3.0,1.0 +2042,2.0,5.0 +2043,0.0,3.0 +2044,1.0,5.0 +2045,1.0,9.0 +2046,1.0,2.0 +2047,0.0,9.0 +2048,2.0,2.0 +2049,0.0,3.0 +2050,0.0,3.0 +2051,2.0,6.0 +2052,0.0,5.0 +2053,0.0,1.0 +2054,2.0,1.0 +2055,0.0,5.0 +2056,3.0,2.0 +2057,1.0,8.0 +2058,2.0,7.0 +2059,1.0,5.0 +2060,1.0,4.0 +2061,1.0,8.0 +2062,1.0,4.0 +2063,3.0,6.0 +2064,1.0,8.0 +2065,1.0,5.0 +2066,4.0,2.0 +2067,0.0,2.0 +2068,1.0,6.0 +2069,1.0,1.0 +2070,2.0,6.0 +2071,0.0,4.0 +2072,3.0,1.0 +2073,2.0,4.0 +2074,1.0,2.0 +2075,2.0,1.0 +2076,1.0,5.0 +2077,5.0,6.0 +2078,2.0,3.0 +2079,1.0,8.0 +2080,1.0,1.0 +2081,1.0,3.0 +2082,1.0,3.0 +2083,1.0,2.0 +2084,2.0,6.0 +2085,2.0,4.0 +2086,1.0,6.0 +2087,4.0,3.0 +2088,5.0,3.0 +2089,1.0,13.0 +2090,0.0,1.0 +2091,1.0,3.0 +2092,1.0,5.0 +2093,3.0,2.0 +2094,2.0,3.0 +2095,0.0,5.0 +2096,1.0,1.0 +2097,2.0,6.0 +2098,1.0,4.0 +2099,2.0,2.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/311-peak+year_c.csv b/SurgeData/311-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/311-peak+year_c.csv rename to SurgeData/311-peak+year_c.csv diff --git a/SurgeData/N=1000/311-peak+year_w.csv b/SurgeData/311-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/311-peak+year_w.csv rename to SurgeData/311-peak+year_w.csv diff --git a/SurgeData/N=1000/311-peak_c.csv b/SurgeData/311-peak_c.csv similarity index 100% rename from SurgeData/N=1000/311-peak_c.csv rename to SurgeData/311-peak_c.csv diff --git a/SurgeData/N=1000/311-peak_w.csv b/SurgeData/311-peak_w.csv similarity index 100% rename from SurgeData/N=1000/311-peak_w.csv rename to SurgeData/311-peak_w.csv diff --git a/SurgeData/N=1000/311-surge_c.csv b/SurgeData/311-surge_c.csv similarity index 100% rename from SurgeData/N=1000/311-surge_c.csv rename to SurgeData/311-surge_c.csv diff --git a/SurgeData/N=1000/311-surge_w.csv b/SurgeData/311-surge_w.csv similarity index 100% rename from SurgeData/N=1000/311-surge_w.csv rename to SurgeData/311-surge_w.csv diff --git a/SurgeData/N=1000/311-time_c.csv b/SurgeData/311-time_c.csv similarity index 100% rename from SurgeData/N=1000/311-time_c.csv rename to SurgeData/311-time_c.csv diff --git a/SurgeData/N=1000/311-time_w.csv b/SurgeData/311-time_w.csv similarity index 100% rename from SurgeData/N=1000/311-time_w.csv rename to SurgeData/311-time_w.csv diff --git a/SurgeData/N=1000/311-waterlevel_c.csv b/SurgeData/311-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/311-waterlevel_c.csv rename to SurgeData/311-waterlevel_c.csv diff --git a/SurgeData/N=1000/311-waterlevel_w.csv b/SurgeData/311-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/311-waterlevel_w.csv rename to SurgeData/311-waterlevel_w.csv diff --git a/SurgeData/312-num_storm.csv b/SurgeData/312-num_storm.csv new file mode 100644 index 00000000..4ea16dfe --- /dev/null +++ b/SurgeData/312-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,1.0,8.0 +2022,3.0,7.0 +2023,0.0,5.0 +2024,2.0,5.0 +2025,3.0,5.0 +2026,2.0,3.0 +2027,3.0,2.0 +2028,2.0,4.0 +2029,1.0,5.0 +2030,1.0,6.0 +2031,2.0,1.0 +2032,1.0,2.0 +2033,2.0,7.0 +2034,4.0,6.0 +2035,1.0,7.0 +2036,2.0,2.0 +2037,5.0,7.0 +2038,3.0,5.0 +2039,2.0,5.0 +2040,0.0,4.0 +2041,2.0,4.0 +2042,0.0,5.0 +2043,2.0,4.0 +2044,0.0,3.0 +2045,2.0,11.0 +2046,2.0,4.0 +2047,0.0,4.0 +2048,2.0,2.0 +2049,2.0,1.0 +2050,2.0,4.0 +2051,0.0,3.0 +2052,3.0,2.0 +2053,1.0,1.0 +2054,2.0,4.0 +2055,1.0,5.0 +2056,4.0,5.0 +2057,1.0,4.0 +2058,2.0,1.0 +2059,2.0,2.0 +2060,1.0,4.0 +2061,2.0,5.0 +2062,2.0,6.0 +2063,1.0,5.0 +2064,1.0,4.0 +2065,1.0,6.0 +2066,1.0,2.0 +2067,3.0,8.0 +2068,0.0,2.0 +2069,4.0,4.0 +2070,0.0,3.0 +2071,3.0,5.0 +2072,0.0,3.0 +2073,0.0,1.0 +2074,1.0,2.0 +2075,0.0,3.0 +2076,2.0,3.0 +2077,1.0,5.0 +2078,1.0,7.0 +2079,0.0,2.0 +2080,2.0,1.0 +2081,0.0,2.0 +2082,2.0,4.0 +2083,0.0,7.0 +2084,1.0,3.0 +2085,3.0,8.0 +2086,0.0,4.0 +2087,2.0,4.0 +2088,2.0,4.0 +2089,1.0,5.0 +2090,1.0,3.0 +2091,2.0,3.0 +2092,1.0,3.0 +2093,1.0,5.0 +2094,0.0,3.0 +2095,2.0,3.0 +2096,1.0,6.0 +2097,1.0,2.0 +2098,1.0,3.0 +2099,6.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/312-peak+year_c.csv b/SurgeData/312-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/312-peak+year_c.csv rename to SurgeData/312-peak+year_c.csv diff --git a/SurgeData/N=1000/312-peak+year_w.csv b/SurgeData/312-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/312-peak+year_w.csv rename to SurgeData/312-peak+year_w.csv diff --git a/SurgeData/N=1000/312-peak_c.csv b/SurgeData/312-peak_c.csv similarity index 100% rename from SurgeData/N=1000/312-peak_c.csv rename to SurgeData/312-peak_c.csv diff --git a/SurgeData/N=1000/312-peak_w.csv b/SurgeData/312-peak_w.csv similarity index 100% rename from SurgeData/N=1000/312-peak_w.csv rename to SurgeData/312-peak_w.csv diff --git a/SurgeData/N=1000/312-surge_c.csv b/SurgeData/312-surge_c.csv similarity index 100% rename from SurgeData/N=1000/312-surge_c.csv rename to SurgeData/312-surge_c.csv diff --git a/SurgeData/N=1000/312-surge_w.csv b/SurgeData/312-surge_w.csv similarity index 100% rename from SurgeData/N=1000/312-surge_w.csv rename to SurgeData/312-surge_w.csv diff --git a/SurgeData/N=1000/312-time_c.csv b/SurgeData/312-time_c.csv similarity index 100% rename from SurgeData/N=1000/312-time_c.csv rename to SurgeData/312-time_c.csv diff --git a/SurgeData/N=1000/312-time_w.csv b/SurgeData/312-time_w.csv similarity index 100% rename from SurgeData/N=1000/312-time_w.csv rename to SurgeData/312-time_w.csv diff --git a/SurgeData/N=1000/312-waterlevel_c.csv b/SurgeData/312-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/312-waterlevel_c.csv rename to SurgeData/312-waterlevel_c.csv diff --git a/SurgeData/N=1000/312-waterlevel_w.csv b/SurgeData/312-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/312-waterlevel_w.csv rename to SurgeData/312-waterlevel_w.csv diff --git a/SurgeData/N=1000/313-peak+year_c.csv b/SurgeData/313-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/313-peak+year_c.csv rename to SurgeData/313-peak+year_c.csv diff --git a/SurgeData/N=1000/313-peak+year_w.csv b/SurgeData/313-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/313-peak+year_w.csv rename to SurgeData/313-peak+year_w.csv diff --git a/SurgeData/N=1000/313-peak_c.csv b/SurgeData/313-peak_c.csv similarity index 100% rename from SurgeData/N=1000/313-peak_c.csv rename to SurgeData/313-peak_c.csv diff --git a/SurgeData/N=1000/313-peak_w.csv b/SurgeData/313-peak_w.csv similarity index 100% rename from SurgeData/N=1000/313-peak_w.csv rename to SurgeData/313-peak_w.csv diff --git a/SurgeData/N=1000/313-surge_c.csv b/SurgeData/313-surge_c.csv similarity index 100% rename from SurgeData/N=1000/313-surge_c.csv rename to SurgeData/313-surge_c.csv diff --git a/SurgeData/N=1000/313-surge_w.csv b/SurgeData/313-surge_w.csv similarity index 100% rename from SurgeData/N=1000/313-surge_w.csv rename to SurgeData/313-surge_w.csv diff --git a/SurgeData/N=1000/313-time_c.csv b/SurgeData/313-time_c.csv similarity index 100% rename from SurgeData/N=1000/313-time_c.csv rename to SurgeData/313-time_c.csv diff --git a/SurgeData/N=1000/313-time_w.csv b/SurgeData/313-time_w.csv similarity index 100% rename from SurgeData/N=1000/313-time_w.csv rename to SurgeData/313-time_w.csv diff --git a/SurgeData/N=1000/313-waterlevel_c.csv b/SurgeData/313-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/313-waterlevel_c.csv rename to SurgeData/313-waterlevel_c.csv diff --git a/SurgeData/N=1000/313-waterlevel_w.csv b/SurgeData/313-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/313-waterlevel_w.csv rename to SurgeData/313-waterlevel_w.csv diff --git a/SurgeData/314-num_storm.csv b/SurgeData/314-num_storm.csv new file mode 100644 index 00000000..9b90eba8 --- /dev/null +++ b/SurgeData/314-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,3.0,4.0 +2022,1.0,2.0 +2023,1.0,7.0 +2024,3.0,2.0 +2025,2.0,1.0 +2026,2.0,5.0 +2027,2.0,5.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,2.0,8.0 +2031,3.0,4.0 +2032,1.0,3.0 +2033,1.0,7.0 +2034,1.0,2.0 +2035,0.0,3.0 +2036,1.0,4.0 +2037,2.0,6.0 +2038,4.0,2.0 +2039,2.0,7.0 +2040,2.0,6.0 +2041,1.0,2.0 +2042,0.0,1.0 +2043,0.0,4.0 +2044,1.0,2.0 +2045,1.0,6.0 +2046,2.0,4.0 +2047,1.0,3.0 +2048,2.0,6.0 +2049,2.0,6.0 +2050,1.0,1.0 +2051,0.0,4.0 +2052,2.0,3.0 +2053,1.0,2.0 +2054,2.0,4.0 +2055,1.0,8.0 +2056,1.0,3.0 +2057,0.0,4.0 +2058,2.0,4.0 +2059,4.0,6.0 +2060,2.0,4.0 +2061,2.0,2.0 +2062,1.0,8.0 +2063,0.0,2.0 +2064,4.0,2.0 +2065,0.0,1.0 +2066,0.0,3.0 +2067,2.0,2.0 +2068,2.0,6.0 +2069,1.0,7.0 +2070,0.0,3.0 +2071,4.0,5.0 +2072,0.0,2.0 +2073,1.0,1.0 +2074,2.0,2.0 +2075,1.0,7.0 +2076,0.0,3.0 +2077,1.0,1.0 +2078,0.0,3.0 +2079,1.0,3.0 +2080,1.0,6.0 +2081,2.0,1.0 +2082,2.0,3.0 +2083,0.0,3.0 +2084,1.0,3.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,3.0,4.0 +2088,2.0,5.0 +2089,1.0,6.0 +2090,1.0,5.0 +2091,1.0,2.0 +2092,1.0,9.0 +2093,3.0,6.0 +2094,3.0,6.0 +2095,1.0,4.0 +2096,2.0,4.0 +2097,2.0,3.0 +2098,1.0,1.0 +2099,1.0,5.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/314-peak+year_c.csv b/SurgeData/314-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/314-peak+year_c.csv rename to SurgeData/314-peak+year_c.csv diff --git a/SurgeData/N=1000/314-peak+year_w.csv b/SurgeData/314-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/314-peak+year_w.csv rename to SurgeData/314-peak+year_w.csv diff --git a/SurgeData/N=1000/314-peak_c.csv b/SurgeData/314-peak_c.csv similarity index 100% rename from SurgeData/N=1000/314-peak_c.csv rename to SurgeData/314-peak_c.csv diff --git a/SurgeData/N=1000/314-peak_w.csv b/SurgeData/314-peak_w.csv similarity index 100% rename from SurgeData/N=1000/314-peak_w.csv rename to SurgeData/314-peak_w.csv diff --git a/SurgeData/N=1000/314-surge_c.csv b/SurgeData/314-surge_c.csv similarity index 100% rename from SurgeData/N=1000/314-surge_c.csv rename to SurgeData/314-surge_c.csv diff --git a/SurgeData/N=1000/314-surge_w.csv b/SurgeData/314-surge_w.csv similarity index 100% rename from SurgeData/N=1000/314-surge_w.csv rename to SurgeData/314-surge_w.csv diff --git a/SurgeData/N=1000/314-time_c.csv b/SurgeData/314-time_c.csv similarity index 100% rename from SurgeData/N=1000/314-time_c.csv rename to SurgeData/314-time_c.csv diff --git a/SurgeData/N=1000/314-time_w.csv b/SurgeData/314-time_w.csv similarity index 100% rename from SurgeData/N=1000/314-time_w.csv rename to SurgeData/314-time_w.csv diff --git a/SurgeData/N=1000/314-waterlevel_c.csv b/SurgeData/314-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/314-waterlevel_c.csv rename to SurgeData/314-waterlevel_c.csv diff --git a/SurgeData/N=1000/314-waterlevel_w.csv b/SurgeData/314-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/314-waterlevel_w.csv rename to SurgeData/314-waterlevel_w.csv diff --git a/SurgeData/315-num_storm.csv b/SurgeData/315-num_storm.csv new file mode 100644 index 00000000..3d95f2f7 --- /dev/null +++ b/SurgeData/315-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,4.0 +2022,2.0,5.0 +2023,3.0,2.0 +2024,2.0,3.0 +2025,1.0,4.0 +2026,3.0,4.0 +2027,2.0,3.0 +2028,2.0,2.0 +2029,2.0,6.0 +2030,3.0,4.0 +2031,0.0,4.0 +2032,4.0,4.0 +2033,1.0,2.0 +2034,2.0,4.0 +2035,3.0,6.0 +2036,1.0,2.0 +2037,1.0,6.0 +2038,0.0,5.0 +2039,1.0,3.0 +2040,1.0,6.0 +2041,0.0,8.0 +2042,0.0,5.0 +2043,1.0,3.0 +2044,1.0,1.0 +2045,1.0,3.0 +2046,0.0,6.0 +2047,1.0,4.0 +2048,1.0,6.0 +2049,3.0,5.0 +2050,2.0,4.0 +2051,2.0,2.0 +2052,4.0,3.0 +2053,2.0,5.0 +2054,1.0,5.0 +2055,1.0,2.0 +2056,3.0,3.0 +2057,0.0,4.0 +2058,3.0,3.0 +2059,3.0,6.0 +2060,0.0,5.0 +2061,3.0,4.0 +2062,4.0,2.0 +2063,1.0,1.0 +2064,2.0,2.0 +2065,2.0,4.0 +2066,3.0,4.0 +2067,1.0,3.0 +2068,5.0,6.0 +2069,3.0,2.0 +2070,3.0,1.0 +2071,1.0,4.0 +2072,0.0,5.0 +2073,1.0,4.0 +2074,0.0,5.0 +2075,0.0,3.0 +2076,0.0,5.0 +2077,4.0,7.0 +2078,2.0,7.0 +2079,0.0,3.0 +2080,1.0,3.0 +2081,0.0,4.0 +2082,1.0,6.0 +2083,0.0,6.0 +2084,2.0,2.0 +2085,1.0,5.0 +2086,2.0,6.0 +2087,1.0,1.0 +2088,4.0,5.0 +2089,2.0,3.0 +2090,1.0,7.0 +2091,1.0,3.0 +2092,3.0,3.0 +2093,1.0,4.0 +2094,2.0,2.0 +2095,2.0,3.0 +2096,4.0,5.0 +2097,1.0,4.0 +2098,0.0,3.0 +2099,1.0,3.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/315-peak+year_c.csv b/SurgeData/315-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/315-peak+year_c.csv rename to SurgeData/315-peak+year_c.csv diff --git a/SurgeData/N=1000/315-peak+year_w.csv b/SurgeData/315-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/315-peak+year_w.csv rename to SurgeData/315-peak+year_w.csv diff --git a/SurgeData/N=1000/315-peak_c.csv b/SurgeData/315-peak_c.csv similarity index 100% rename from SurgeData/N=1000/315-peak_c.csv rename to SurgeData/315-peak_c.csv diff --git a/SurgeData/N=1000/315-peak_w.csv b/SurgeData/315-peak_w.csv similarity index 100% rename from SurgeData/N=1000/315-peak_w.csv rename to SurgeData/315-peak_w.csv diff --git a/SurgeData/N=1000/315-surge_c.csv b/SurgeData/315-surge_c.csv similarity index 100% rename from SurgeData/N=1000/315-surge_c.csv rename to SurgeData/315-surge_c.csv diff --git a/SurgeData/N=1000/315-surge_w.csv b/SurgeData/315-surge_w.csv similarity index 100% rename from SurgeData/N=1000/315-surge_w.csv rename to SurgeData/315-surge_w.csv diff --git a/SurgeData/N=1000/315-time_c.csv b/SurgeData/315-time_c.csv similarity index 100% rename from SurgeData/N=1000/315-time_c.csv rename to SurgeData/315-time_c.csv diff --git a/SurgeData/N=1000/315-time_w.csv b/SurgeData/315-time_w.csv similarity index 100% rename from SurgeData/N=1000/315-time_w.csv rename to SurgeData/315-time_w.csv diff --git a/SurgeData/N=1000/315-waterlevel_c.csv b/SurgeData/315-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/315-waterlevel_c.csv rename to SurgeData/315-waterlevel_c.csv diff --git a/SurgeData/N=1000/315-waterlevel_w.csv b/SurgeData/315-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/315-waterlevel_w.csv rename to SurgeData/315-waterlevel_w.csv diff --git a/SurgeData/316-num_storm.csv b/SurgeData/316-num_storm.csv new file mode 100644 index 00000000..a9e01670 --- /dev/null +++ b/SurgeData/316-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,4.0 +2022,2.0,5.0 +2023,0.0,0.0 +2024,2.0,4.0 +2025,1.0,8.0 +2026,2.0,2.0 +2027,2.0,5.0 +2028,2.0,5.0 +2029,1.0,2.0 +2030,0.0,6.0 +2031,1.0,6.0 +2032,2.0,7.0 +2033,3.0,5.0 +2034,2.0,3.0 +2035,2.0,6.0 +2036,1.0,6.0 +2037,2.0,1.0 +2038,3.0,5.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,1.0,4.0 +2042,4.0,4.0 +2043,3.0,2.0 +2044,2.0,5.0 +2045,1.0,2.0 +2046,2.0,7.0 +2047,2.0,5.0 +2048,4.0,3.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,0.0,3.0 +2052,1.0,3.0 +2053,2.0,1.0 +2054,1.0,2.0 +2055,3.0,5.0 +2056,1.0,4.0 +2057,1.0,4.0 +2058,0.0,2.0 +2059,2.0,6.0 +2060,2.0,1.0 +2061,2.0,4.0 +2062,2.0,2.0 +2063,3.0,2.0 +2064,2.0,6.0 +2065,1.0,0.0 +2066,2.0,1.0 +2067,0.0,6.0 +2068,1.0,2.0 +2069,2.0,5.0 +2070,2.0,4.0 +2071,2.0,5.0 +2072,1.0,4.0 +2073,1.0,3.0 +2074,1.0,2.0 +2075,1.0,4.0 +2076,0.0,3.0 +2077,0.0,4.0 +2078,1.0,6.0 +2079,2.0,5.0 +2080,0.0,6.0 +2081,1.0,2.0 +2082,0.0,2.0 +2083,1.0,5.0 +2084,1.0,2.0 +2085,0.0,6.0 +2086,1.0,3.0 +2087,3.0,7.0 +2088,2.0,8.0 +2089,2.0,3.0 +2090,3.0,3.0 +2091,1.0,3.0 +2092,0.0,5.0 +2093,0.0,4.0 +2094,4.0,2.0 +2095,2.0,3.0 +2096,2.0,2.0 +2097,2.0,3.0 +2098,3.0,3.0 +2099,1.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/316-peak+year_c.csv b/SurgeData/316-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/316-peak+year_c.csv rename to SurgeData/316-peak+year_c.csv diff --git a/SurgeData/N=1000/316-peak+year_w.csv b/SurgeData/316-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/316-peak+year_w.csv rename to SurgeData/316-peak+year_w.csv diff --git a/SurgeData/N=1000/316-peak_c.csv b/SurgeData/316-peak_c.csv similarity index 100% rename from SurgeData/N=1000/316-peak_c.csv rename to SurgeData/316-peak_c.csv diff --git a/SurgeData/N=1000/316-peak_w.csv b/SurgeData/316-peak_w.csv similarity index 100% rename from SurgeData/N=1000/316-peak_w.csv rename to SurgeData/316-peak_w.csv diff --git a/SurgeData/N=1000/316-surge_c.csv b/SurgeData/316-surge_c.csv similarity index 100% rename from SurgeData/N=1000/316-surge_c.csv rename to SurgeData/316-surge_c.csv diff --git a/SurgeData/N=1000/316-surge_w.csv b/SurgeData/316-surge_w.csv similarity index 100% rename from SurgeData/N=1000/316-surge_w.csv rename to SurgeData/316-surge_w.csv diff --git a/SurgeData/N=1000/316-time_c.csv b/SurgeData/316-time_c.csv similarity index 100% rename from SurgeData/N=1000/316-time_c.csv rename to SurgeData/316-time_c.csv diff --git a/SurgeData/N=1000/316-time_w.csv b/SurgeData/316-time_w.csv similarity index 100% rename from SurgeData/N=1000/316-time_w.csv rename to SurgeData/316-time_w.csv diff --git a/SurgeData/N=1000/316-waterlevel_c.csv b/SurgeData/316-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/316-waterlevel_c.csv rename to SurgeData/316-waterlevel_c.csv diff --git a/SurgeData/N=1000/316-waterlevel_w.csv b/SurgeData/316-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/316-waterlevel_w.csv rename to SurgeData/316-waterlevel_w.csv diff --git a/SurgeData/317-num_storm.csv b/SurgeData/317-num_storm.csv new file mode 100644 index 00000000..7935553b --- /dev/null +++ b/SurgeData/317-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,0.0,1.0 +2022,3.0,3.0 +2023,1.0,6.0 +2024,0.0,4.0 +2025,1.0,3.0 +2026,0.0,3.0 +2027,3.0,2.0 +2028,3.0,4.0 +2029,3.0,3.0 +2030,1.0,2.0 +2031,1.0,3.0 +2032,2.0,5.0 +2033,1.0,4.0 +2034,4.0,2.0 +2035,1.0,1.0 +2036,2.0,6.0 +2037,1.0,3.0 +2038,2.0,4.0 +2039,2.0,5.0 +2040,0.0,2.0 +2041,1.0,4.0 +2042,5.0,7.0 +2043,4.0,3.0 +2044,0.0,2.0 +2045,1.0,8.0 +2046,1.0,0.0 +2047,3.0,7.0 +2048,3.0,7.0 +2049,1.0,12.0 +2050,1.0,8.0 +2051,1.0,7.0 +2052,1.0,7.0 +2053,2.0,3.0 +2054,2.0,6.0 +2055,1.0,3.0 +2056,3.0,3.0 +2057,0.0,4.0 +2058,2.0,7.0 +2059,3.0,8.0 +2060,3.0,5.0 +2061,2.0,4.0 +2062,5.0,2.0 +2063,2.0,2.0 +2064,3.0,6.0 +2065,1.0,7.0 +2066,0.0,3.0 +2067,1.0,9.0 +2068,1.0,4.0 +2069,1.0,5.0 +2070,0.0,2.0 +2071,1.0,1.0 +2072,3.0,7.0 +2073,1.0,5.0 +2074,0.0,6.0 +2075,4.0,4.0 +2076,0.0,8.0 +2077,0.0,9.0 +2078,0.0,3.0 +2079,0.0,7.0 +2080,0.0,1.0 +2081,2.0,3.0 +2082,2.0,4.0 +2083,3.0,3.0 +2084,1.0,6.0 +2085,2.0,2.0 +2086,3.0,9.0 +2087,3.0,5.0 +2088,4.0,1.0 +2089,1.0,6.0 +2090,4.0,3.0 +2091,2.0,5.0 +2092,2.0,4.0 +2093,3.0,2.0 +2094,2.0,3.0 +2095,1.0,3.0 +2096,1.0,4.0 +2097,3.0,1.0 +2098,0.0,6.0 +2099,1.0,3.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/317-peak+year_c.csv b/SurgeData/317-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/317-peak+year_c.csv rename to SurgeData/317-peak+year_c.csv diff --git a/SurgeData/N=1000/317-peak+year_w.csv b/SurgeData/317-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/317-peak+year_w.csv rename to SurgeData/317-peak+year_w.csv diff --git a/SurgeData/N=1000/317-peak_c.csv b/SurgeData/317-peak_c.csv similarity index 100% rename from SurgeData/N=1000/317-peak_c.csv rename to SurgeData/317-peak_c.csv diff --git a/SurgeData/N=1000/317-peak_w.csv b/SurgeData/317-peak_w.csv similarity index 100% rename from SurgeData/N=1000/317-peak_w.csv rename to SurgeData/317-peak_w.csv diff --git a/SurgeData/N=1000/317-surge_c.csv b/SurgeData/317-surge_c.csv similarity index 100% rename from SurgeData/N=1000/317-surge_c.csv rename to SurgeData/317-surge_c.csv diff --git a/SurgeData/N=1000/317-surge_w.csv b/SurgeData/317-surge_w.csv similarity index 100% rename from SurgeData/N=1000/317-surge_w.csv rename to SurgeData/317-surge_w.csv diff --git a/SurgeData/N=1000/317-time_c.csv b/SurgeData/317-time_c.csv similarity index 100% rename from SurgeData/N=1000/317-time_c.csv rename to SurgeData/317-time_c.csv diff --git a/SurgeData/N=1000/317-time_w.csv b/SurgeData/317-time_w.csv similarity index 100% rename from SurgeData/N=1000/317-time_w.csv rename to SurgeData/317-time_w.csv diff --git a/SurgeData/N=1000/317-waterlevel_c.csv b/SurgeData/317-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/317-waterlevel_c.csv rename to SurgeData/317-waterlevel_c.csv diff --git a/SurgeData/N=1000/317-waterlevel_w.csv b/SurgeData/317-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/317-waterlevel_w.csv rename to SurgeData/317-waterlevel_w.csv diff --git a/SurgeData/318-num_storm.csv b/SurgeData/318-num_storm.csv new file mode 100644 index 00000000..1659ab33 --- /dev/null +++ b/SurgeData/318-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,6.0 +2022,1.0,0.0 +2023,2.0,8.0 +2024,1.0,3.0 +2025,0.0,2.0 +2026,3.0,1.0 +2027,1.0,4.0 +2028,1.0,3.0 +2029,1.0,5.0 +2030,2.0,2.0 +2031,2.0,6.0 +2032,2.0,3.0 +2033,1.0,3.0 +2034,2.0,4.0 +2035,2.0,4.0 +2036,2.0,3.0 +2037,0.0,7.0 +2038,4.0,2.0 +2039,7.0,3.0 +2040,1.0,4.0 +2041,1.0,6.0 +2042,1.0,4.0 +2043,1.0,4.0 +2044,2.0,2.0 +2045,0.0,3.0 +2046,1.0,2.0 +2047,0.0,6.0 +2048,3.0,4.0 +2049,0.0,3.0 +2050,2.0,1.0 +2051,0.0,8.0 +2052,2.0,4.0 +2053,1.0,2.0 +2054,1.0,7.0 +2055,1.0,4.0 +2056,1.0,7.0 +2057,1.0,7.0 +2058,0.0,0.0 +2059,0.0,3.0 +2060,1.0,3.0 +2061,0.0,3.0 +2062,2.0,3.0 +2063,0.0,3.0 +2064,2.0,6.0 +2065,1.0,4.0 +2066,1.0,3.0 +2067,1.0,5.0 +2068,1.0,6.0 +2069,4.0,6.0 +2070,4.0,6.0 +2071,0.0,5.0 +2072,0.0,2.0 +2073,1.0,4.0 +2074,1.0,3.0 +2075,1.0,6.0 +2076,3.0,5.0 +2077,0.0,1.0 +2078,2.0,2.0 +2079,2.0,3.0 +2080,0.0,8.0 +2081,4.0,6.0 +2082,1.0,6.0 +2083,2.0,4.0 +2084,2.0,7.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,2.0,1.0 +2088,0.0,3.0 +2089,1.0,4.0 +2090,1.0,8.0 +2091,1.0,4.0 +2092,2.0,5.0 +2093,1.0,7.0 +2094,2.0,0.0 +2095,1.0,3.0 +2096,1.0,2.0 +2097,0.0,2.0 +2098,2.0,4.0 +2099,1.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/318-peak+year_c.csv b/SurgeData/318-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/318-peak+year_c.csv rename to SurgeData/318-peak+year_c.csv diff --git a/SurgeData/N=1000/318-peak+year_w.csv b/SurgeData/318-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/318-peak+year_w.csv rename to SurgeData/318-peak+year_w.csv diff --git a/SurgeData/N=1000/318-peak_c.csv b/SurgeData/318-peak_c.csv similarity index 100% rename from SurgeData/N=1000/318-peak_c.csv rename to SurgeData/318-peak_c.csv diff --git a/SurgeData/N=1000/318-peak_w.csv b/SurgeData/318-peak_w.csv similarity index 100% rename from SurgeData/N=1000/318-peak_w.csv rename to SurgeData/318-peak_w.csv diff --git a/SurgeData/N=1000/318-surge_c.csv b/SurgeData/318-surge_c.csv similarity index 100% rename from SurgeData/N=1000/318-surge_c.csv rename to SurgeData/318-surge_c.csv diff --git a/SurgeData/N=1000/318-surge_w.csv b/SurgeData/318-surge_w.csv similarity index 100% rename from SurgeData/N=1000/318-surge_w.csv rename to SurgeData/318-surge_w.csv diff --git a/SurgeData/N=1000/318-time_c.csv b/SurgeData/318-time_c.csv similarity index 100% rename from SurgeData/N=1000/318-time_c.csv rename to SurgeData/318-time_c.csv diff --git a/SurgeData/N=1000/318-time_w.csv b/SurgeData/318-time_w.csv similarity index 100% rename from SurgeData/N=1000/318-time_w.csv rename to SurgeData/318-time_w.csv diff --git a/SurgeData/N=1000/318-waterlevel_c.csv b/SurgeData/318-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/318-waterlevel_c.csv rename to SurgeData/318-waterlevel_c.csv diff --git a/SurgeData/N=1000/318-waterlevel_w.csv b/SurgeData/318-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/318-waterlevel_w.csv rename to SurgeData/318-waterlevel_w.csv diff --git a/SurgeData/319-num_storm.csv b/SurgeData/319-num_storm.csv new file mode 100644 index 00000000..4ee79c76 --- /dev/null +++ b/SurgeData/319-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,1.0 +2022,4.0,1.0 +2023,2.0,8.0 +2024,3.0,5.0 +2025,1.0,4.0 +2026,2.0,5.0 +2027,0.0,4.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,3.0,5.0 +2031,7.0,0.0 +2032,1.0,3.0 +2033,0.0,2.0 +2034,1.0,2.0 +2035,1.0,4.0 +2036,1.0,8.0 +2037,2.0,4.0 +2038,1.0,6.0 +2039,3.0,4.0 +2040,3.0,2.0 +2041,0.0,2.0 +2042,1.0,6.0 +2043,1.0,5.0 +2044,0.0,2.0 +2045,1.0,3.0 +2046,1.0,5.0 +2047,4.0,5.0 +2048,2.0,4.0 +2049,0.0,5.0 +2050,1.0,1.0 +2051,0.0,3.0 +2052,0.0,2.0 +2053,0.0,6.0 +2054,0.0,3.0 +2055,1.0,4.0 +2056,4.0,5.0 +2057,0.0,2.0 +2058,2.0,1.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,2.0,4.0 +2062,0.0,2.0 +2063,2.0,3.0 +2064,0.0,4.0 +2065,2.0,2.0 +2066,3.0,5.0 +2067,1.0,8.0 +2068,0.0,4.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,2.0,2.0 +2072,2.0,7.0 +2073,3.0,2.0 +2074,3.0,2.0 +2075,3.0,5.0 +2076,2.0,3.0 +2077,0.0,5.0 +2078,1.0,6.0 +2079,2.0,7.0 +2080,0.0,4.0 +2081,2.0,12.0 +2082,1.0,4.0 +2083,2.0,2.0 +2084,2.0,3.0 +2085,0.0,5.0 +2086,2.0,3.0 +2087,1.0,4.0 +2088,4.0,3.0 +2089,1.0,3.0 +2090,4.0,3.0 +2091,2.0,1.0 +2092,2.0,2.0 +2093,3.0,4.0 +2094,4.0,4.0 +2095,1.0,2.0 +2096,2.0,1.0 +2097,0.0,4.0 +2098,3.0,5.0 +2099,2.0,3.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/319-peak+year_c.csv b/SurgeData/319-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/319-peak+year_c.csv rename to SurgeData/319-peak+year_c.csv diff --git a/SurgeData/N=1000/319-peak+year_w.csv b/SurgeData/319-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/319-peak+year_w.csv rename to SurgeData/319-peak+year_w.csv diff --git a/SurgeData/N=1000/319-peak_c.csv b/SurgeData/319-peak_c.csv similarity index 100% rename from SurgeData/N=1000/319-peak_c.csv rename to SurgeData/319-peak_c.csv diff --git a/SurgeData/N=1000/319-peak_w.csv b/SurgeData/319-peak_w.csv similarity index 100% rename from SurgeData/N=1000/319-peak_w.csv rename to SurgeData/319-peak_w.csv diff --git a/SurgeData/N=1000/319-surge_c.csv b/SurgeData/319-surge_c.csv similarity index 100% rename from SurgeData/N=1000/319-surge_c.csv rename to SurgeData/319-surge_c.csv diff --git a/SurgeData/N=1000/319-surge_w.csv b/SurgeData/319-surge_w.csv similarity index 100% rename from SurgeData/N=1000/319-surge_w.csv rename to SurgeData/319-surge_w.csv diff --git a/SurgeData/N=1000/319-time_c.csv b/SurgeData/319-time_c.csv similarity index 100% rename from SurgeData/N=1000/319-time_c.csv rename to SurgeData/319-time_c.csv diff --git a/SurgeData/N=1000/319-time_w.csv b/SurgeData/319-time_w.csv similarity index 100% rename from SurgeData/N=1000/319-time_w.csv rename to SurgeData/319-time_w.csv diff --git a/SurgeData/N=1000/319-waterlevel_c.csv b/SurgeData/319-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/319-waterlevel_c.csv rename to SurgeData/319-waterlevel_c.csv diff --git a/SurgeData/N=1000/319-waterlevel_w.csv b/SurgeData/319-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/319-waterlevel_w.csv rename to SurgeData/319-waterlevel_w.csv diff --git a/SurgeData/32-num_storm.csv b/SurgeData/32-num_storm.csv new file mode 100644 index 00000000..37293428 --- /dev/null +++ b/SurgeData/32-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,8.0 +2022,2.0,4.0 +2023,2.0,1.0 +2024,4.0,6.0 +2025,3.0,3.0 +2026,3.0,4.0 +2027,2.0,2.0 +2028,3.0,5.0 +2029,1.0,3.0 +2030,1.0,1.0 +2031,2.0,8.0 +2032,1.0,1.0 +2033,1.0,5.0 +2034,2.0,5.0 +2035,1.0,4.0 +2036,0.0,8.0 +2037,1.0,4.0 +2038,2.0,9.0 +2039,0.0,5.0 +2040,4.0,2.0 +2041,5.0,4.0 +2042,3.0,6.0 +2043,5.0,4.0 +2044,1.0,3.0 +2045,0.0,6.0 +2046,1.0,1.0 +2047,3.0,4.0 +2048,1.0,6.0 +2049,0.0,3.0 +2050,3.0,5.0 +2051,2.0,9.0 +2052,3.0,3.0 +2053,0.0,6.0 +2054,1.0,4.0 +2055,1.0,7.0 +2056,0.0,4.0 +2057,3.0,2.0 +2058,1.0,5.0 +2059,3.0,2.0 +2060,1.0,3.0 +2061,2.0,4.0 +2062,3.0,3.0 +2063,0.0,4.0 +2064,3.0,4.0 +2065,3.0,5.0 +2066,5.0,6.0 +2067,1.0,4.0 +2068,2.0,5.0 +2069,1.0,0.0 +2070,1.0,7.0 +2071,2.0,2.0 +2072,5.0,3.0 +2073,0.0,5.0 +2074,3.0,3.0 +2075,1.0,3.0 +2076,2.0,2.0 +2077,0.0,5.0 +2078,2.0,1.0 +2079,1.0,7.0 +2080,1.0,2.0 +2081,3.0,2.0 +2082,0.0,6.0 +2083,2.0,5.0 +2084,0.0,0.0 +2085,0.0,2.0 +2086,0.0,3.0 +2087,3.0,8.0 +2088,1.0,3.0 +2089,2.0,6.0 +2090,1.0,5.0 +2091,0.0,5.0 +2092,2.0,6.0 +2093,2.0,3.0 +2094,1.0,4.0 +2095,3.0,5.0 +2096,5.0,5.0 +2097,1.0,4.0 +2098,1.0,6.0 +2099,1.0,4.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/32-peak+year_c.csv b/SurgeData/32-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/32-peak+year_c.csv rename to SurgeData/32-peak+year_c.csv diff --git a/SurgeData/N=1000/32-peak+year_w.csv b/SurgeData/32-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/32-peak+year_w.csv rename to SurgeData/32-peak+year_w.csv diff --git a/SurgeData/N=1000/32-peak_c.csv b/SurgeData/32-peak_c.csv similarity index 100% rename from SurgeData/N=1000/32-peak_c.csv rename to SurgeData/32-peak_c.csv diff --git a/SurgeData/N=1000/32-peak_w.csv b/SurgeData/32-peak_w.csv similarity index 100% rename from SurgeData/N=1000/32-peak_w.csv rename to SurgeData/32-peak_w.csv diff --git a/SurgeData/N=1000/32-surge_c.csv b/SurgeData/32-surge_c.csv similarity index 100% rename from SurgeData/N=1000/32-surge_c.csv rename to SurgeData/32-surge_c.csv diff --git a/SurgeData/N=1000/32-surge_w.csv b/SurgeData/32-surge_w.csv similarity index 100% rename from SurgeData/N=1000/32-surge_w.csv rename to SurgeData/32-surge_w.csv diff --git a/SurgeData/N=1000/32-time_c.csv b/SurgeData/32-time_c.csv similarity index 100% rename from SurgeData/N=1000/32-time_c.csv rename to SurgeData/32-time_c.csv diff --git a/SurgeData/N=1000/32-time_w.csv b/SurgeData/32-time_w.csv similarity index 100% rename from SurgeData/N=1000/32-time_w.csv rename to SurgeData/32-time_w.csv diff --git a/SurgeData/N=1000/32-waterlevel_c.csv b/SurgeData/32-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/32-waterlevel_c.csv rename to SurgeData/32-waterlevel_c.csv diff --git a/SurgeData/N=1000/32-waterlevel_w.csv b/SurgeData/32-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/32-waterlevel_w.csv rename to SurgeData/32-waterlevel_w.csv diff --git a/SurgeData/320-num_storm.csv b/SurgeData/320-num_storm.csv new file mode 100644 index 00000000..e75ae225 --- /dev/null +++ b/SurgeData/320-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,2.0 +2022,2.0,8.0 +2023,3.0,5.0 +2024,3.0,2.0 +2025,4.0,3.0 +2026,0.0,4.0 +2027,1.0,7.0 +2028,0.0,7.0 +2029,1.0,5.0 +2030,1.0,6.0 +2031,2.0,4.0 +2032,2.0,3.0 +2033,1.0,1.0 +2034,3.0,4.0 +2035,1.0,6.0 +2036,4.0,6.0 +2037,1.0,1.0 +2038,0.0,2.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,2.0,2.0 +2042,1.0,3.0 +2043,1.0,5.0 +2044,1.0,2.0 +2045,1.0,3.0 +2046,2.0,4.0 +2047,0.0,3.0 +2048,1.0,0.0 +2049,1.0,3.0 +2050,0.0,5.0 +2051,1.0,6.0 +2052,3.0,2.0 +2053,1.0,2.0 +2054,1.0,3.0 +2055,2.0,4.0 +2056,3.0,4.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,0.0,7.0 +2060,1.0,8.0 +2061,2.0,4.0 +2062,0.0,4.0 +2063,0.0,6.0 +2064,4.0,1.0 +2065,3.0,2.0 +2066,4.0,9.0 +2067,0.0,4.0 +2068,2.0,6.0 +2069,0.0,6.0 +2070,1.0,8.0 +2071,2.0,4.0 +2072,4.0,2.0 +2073,0.0,3.0 +2074,0.0,3.0 +2075,2.0,2.0 +2076,1.0,3.0 +2077,1.0,1.0 +2078,3.0,1.0 +2079,2.0,7.0 +2080,3.0,3.0 +2081,1.0,3.0 +2082,2.0,5.0 +2083,0.0,5.0 +2084,0.0,3.0 +2085,0.0,5.0 +2086,1.0,9.0 +2087,2.0,5.0 +2088,2.0,3.0 +2089,1.0,2.0 +2090,0.0,4.0 +2091,3.0,0.0 +2092,3.0,7.0 +2093,1.0,4.0 +2094,2.0,7.0 +2095,1.0,6.0 +2096,3.0,2.0 +2097,2.0,4.0 +2098,3.0,5.0 +2099,1.0,2.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/320-peak+year_c.csv b/SurgeData/320-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/320-peak+year_c.csv rename to SurgeData/320-peak+year_c.csv diff --git a/SurgeData/N=1000/320-peak+year_w.csv b/SurgeData/320-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/320-peak+year_w.csv rename to SurgeData/320-peak+year_w.csv diff --git a/SurgeData/N=1000/320-peak_c.csv b/SurgeData/320-peak_c.csv similarity index 100% rename from SurgeData/N=1000/320-peak_c.csv rename to SurgeData/320-peak_c.csv diff --git a/SurgeData/N=1000/320-peak_w.csv b/SurgeData/320-peak_w.csv similarity index 100% rename from SurgeData/N=1000/320-peak_w.csv rename to SurgeData/320-peak_w.csv diff --git a/SurgeData/N=1000/320-surge_c.csv b/SurgeData/320-surge_c.csv similarity index 100% rename from SurgeData/N=1000/320-surge_c.csv rename to SurgeData/320-surge_c.csv diff --git a/SurgeData/N=1000/320-surge_w.csv b/SurgeData/320-surge_w.csv similarity index 100% rename from SurgeData/N=1000/320-surge_w.csv rename to SurgeData/320-surge_w.csv diff --git a/SurgeData/N=1000/320-time_c.csv b/SurgeData/320-time_c.csv similarity index 100% rename from SurgeData/N=1000/320-time_c.csv rename to SurgeData/320-time_c.csv diff --git a/SurgeData/N=1000/320-time_w.csv b/SurgeData/320-time_w.csv similarity index 100% rename from SurgeData/N=1000/320-time_w.csv rename to SurgeData/320-time_w.csv diff --git a/SurgeData/N=1000/320-waterlevel_c.csv b/SurgeData/320-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/320-waterlevel_c.csv rename to SurgeData/320-waterlevel_c.csv diff --git a/SurgeData/N=1000/320-waterlevel_w.csv b/SurgeData/320-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/320-waterlevel_w.csv rename to SurgeData/320-waterlevel_w.csv diff --git a/SurgeData/321-num_storm.csv b/SurgeData/321-num_storm.csv new file mode 100644 index 00000000..99fe9c6b --- /dev/null +++ b/SurgeData/321-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,6.0 +2022,2.0,3.0 +2023,4.0,5.0 +2024,0.0,2.0 +2025,1.0,4.0 +2026,2.0,4.0 +2027,1.0,3.0 +2028,1.0,1.0 +2029,0.0,3.0 +2030,2.0,4.0 +2031,3.0,7.0 +2032,2.0,7.0 +2033,1.0,5.0 +2034,2.0,4.0 +2035,0.0,2.0 +2036,2.0,7.0 +2037,1.0,7.0 +2038,2.0,7.0 +2039,1.0,9.0 +2040,3.0,4.0 +2041,2.0,5.0 +2042,0.0,3.0 +2043,1.0,3.0 +2044,0.0,3.0 +2045,2.0,7.0 +2046,5.0,1.0 +2047,2.0,5.0 +2048,2.0,6.0 +2049,0.0,1.0 +2050,0.0,5.0 +2051,3.0,5.0 +2052,0.0,3.0 +2053,0.0,2.0 +2054,0.0,4.0 +2055,3.0,4.0 +2056,4.0,5.0 +2057,3.0,3.0 +2058,2.0,4.0 +2059,3.0,4.0 +2060,1.0,2.0 +2061,1.0,6.0 +2062,2.0,5.0 +2063,3.0,6.0 +2064,3.0,6.0 +2065,1.0,4.0 +2066,1.0,7.0 +2067,2.0,5.0 +2068,0.0,7.0 +2069,2.0,6.0 +2070,1.0,3.0 +2071,3.0,6.0 +2072,0.0,8.0 +2073,2.0,8.0 +2074,0.0,4.0 +2075,3.0,5.0 +2076,5.0,5.0 +2077,2.0,2.0 +2078,1.0,4.0 +2079,1.0,3.0 +2080,0.0,7.0 +2081,0.0,6.0 +2082,3.0,2.0 +2083,1.0,5.0 +2084,1.0,4.0 +2085,2.0,1.0 +2086,1.0,1.0 +2087,2.0,3.0 +2088,1.0,3.0 +2089,1.0,7.0 +2090,2.0,3.0 +2091,1.0,2.0 +2092,2.0,2.0 +2093,1.0,4.0 +2094,2.0,7.0 +2095,0.0,2.0 +2096,1.0,6.0 +2097,3.0,3.0 +2098,3.0,5.0 +2099,0.0,1.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/321-peak+year_c.csv b/SurgeData/321-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/321-peak+year_c.csv rename to SurgeData/321-peak+year_c.csv diff --git a/SurgeData/N=1000/321-peak+year_w.csv b/SurgeData/321-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/321-peak+year_w.csv rename to SurgeData/321-peak+year_w.csv diff --git a/SurgeData/N=1000/321-peak_c.csv b/SurgeData/321-peak_c.csv similarity index 100% rename from SurgeData/N=1000/321-peak_c.csv rename to SurgeData/321-peak_c.csv diff --git a/SurgeData/N=1000/321-peak_w.csv b/SurgeData/321-peak_w.csv similarity index 100% rename from SurgeData/N=1000/321-peak_w.csv rename to SurgeData/321-peak_w.csv diff --git a/SurgeData/N=1000/321-surge_c.csv b/SurgeData/321-surge_c.csv similarity index 100% rename from SurgeData/N=1000/321-surge_c.csv rename to SurgeData/321-surge_c.csv diff --git a/SurgeData/N=1000/321-surge_w.csv b/SurgeData/321-surge_w.csv similarity index 100% rename from SurgeData/N=1000/321-surge_w.csv rename to SurgeData/321-surge_w.csv diff --git a/SurgeData/N=1000/321-time_c.csv b/SurgeData/321-time_c.csv similarity index 100% rename from SurgeData/N=1000/321-time_c.csv rename to SurgeData/321-time_c.csv diff --git a/SurgeData/N=1000/321-time_w.csv b/SurgeData/321-time_w.csv similarity index 100% rename from SurgeData/N=1000/321-time_w.csv rename to SurgeData/321-time_w.csv diff --git a/SurgeData/N=1000/321-waterlevel_c.csv b/SurgeData/321-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/321-waterlevel_c.csv rename to SurgeData/321-waterlevel_c.csv diff --git a/SurgeData/N=1000/321-waterlevel_w.csv b/SurgeData/321-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/321-waterlevel_w.csv rename to SurgeData/321-waterlevel_w.csv diff --git a/SurgeData/322-num_storm.csv b/SurgeData/322-num_storm.csv new file mode 100644 index 00000000..e343538d --- /dev/null +++ b/SurgeData/322-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,5.0 +2022,1.0,6.0 +2023,0.0,3.0 +2024,0.0,5.0 +2025,4.0,1.0 +2026,1.0,5.0 +2027,2.0,4.0 +2028,2.0,4.0 +2029,0.0,5.0 +2030,4.0,5.0 +2031,2.0,6.0 +2032,1.0,3.0 +2033,4.0,6.0 +2034,3.0,5.0 +2035,3.0,5.0 +2036,2.0,7.0 +2037,3.0,7.0 +2038,2.0,4.0 +2039,1.0,5.0 +2040,1.0,1.0 +2041,0.0,6.0 +2042,2.0,9.0 +2043,1.0,2.0 +2044,1.0,8.0 +2045,1.0,3.0 +2046,3.0,4.0 +2047,1.0,4.0 +2048,2.0,3.0 +2049,4.0,3.0 +2050,0.0,5.0 +2051,1.0,5.0 +2052,1.0,3.0 +2053,0.0,4.0 +2054,3.0,7.0 +2055,3.0,7.0 +2056,0.0,4.0 +2057,4.0,1.0 +2058,2.0,2.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,2.0,5.0 +2062,0.0,7.0 +2063,2.0,2.0 +2064,1.0,2.0 +2065,1.0,1.0 +2066,0.0,9.0 +2067,4.0,8.0 +2068,2.0,1.0 +2069,1.0,4.0 +2070,1.0,5.0 +2071,3.0,8.0 +2072,2.0,1.0 +2073,3.0,7.0 +2074,2.0,5.0 +2075,0.0,4.0 +2076,2.0,5.0 +2077,1.0,2.0 +2078,4.0,3.0 +2079,2.0,4.0 +2080,0.0,2.0 +2081,2.0,7.0 +2082,2.0,5.0 +2083,2.0,3.0 +2084,2.0,3.0 +2085,0.0,4.0 +2086,3.0,5.0 +2087,1.0,3.0 +2088,3.0,2.0 +2089,1.0,4.0 +2090,3.0,7.0 +2091,1.0,3.0 +2092,0.0,2.0 +2093,1.0,2.0 +2094,0.0,4.0 +2095,3.0,5.0 +2096,2.0,4.0 +2097,1.0,3.0 +2098,1.0,7.0 +2099,1.0,3.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/322-peak+year_c.csv b/SurgeData/322-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/322-peak+year_c.csv rename to SurgeData/322-peak+year_c.csv diff --git a/SurgeData/N=1000/322-peak+year_w.csv b/SurgeData/322-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/322-peak+year_w.csv rename to SurgeData/322-peak+year_w.csv diff --git a/SurgeData/N=1000/322-peak_c.csv b/SurgeData/322-peak_c.csv similarity index 100% rename from SurgeData/N=1000/322-peak_c.csv rename to SurgeData/322-peak_c.csv diff --git a/SurgeData/N=1000/322-peak_w.csv b/SurgeData/322-peak_w.csv similarity index 100% rename from SurgeData/N=1000/322-peak_w.csv rename to SurgeData/322-peak_w.csv diff --git a/SurgeData/N=1000/322-surge_c.csv b/SurgeData/322-surge_c.csv similarity index 100% rename from SurgeData/N=1000/322-surge_c.csv rename to SurgeData/322-surge_c.csv diff --git a/SurgeData/N=1000/322-surge_w.csv b/SurgeData/322-surge_w.csv similarity index 100% rename from SurgeData/N=1000/322-surge_w.csv rename to SurgeData/322-surge_w.csv diff --git a/SurgeData/N=1000/322-time_c.csv b/SurgeData/322-time_c.csv similarity index 100% rename from SurgeData/N=1000/322-time_c.csv rename to SurgeData/322-time_c.csv diff --git a/SurgeData/N=1000/322-time_w.csv b/SurgeData/322-time_w.csv similarity index 100% rename from SurgeData/N=1000/322-time_w.csv rename to SurgeData/322-time_w.csv diff --git a/SurgeData/N=1000/322-waterlevel_c.csv b/SurgeData/322-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/322-waterlevel_c.csv rename to SurgeData/322-waterlevel_c.csv diff --git a/SurgeData/N=1000/322-waterlevel_w.csv b/SurgeData/322-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/322-waterlevel_w.csv rename to SurgeData/322-waterlevel_w.csv diff --git a/SurgeData/N=1000/323-peak+year_c.csv b/SurgeData/323-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/323-peak+year_c.csv rename to SurgeData/323-peak+year_c.csv diff --git a/SurgeData/N=1000/323-peak+year_w.csv b/SurgeData/323-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/323-peak+year_w.csv rename to SurgeData/323-peak+year_w.csv diff --git a/SurgeData/N=1000/323-peak_c.csv b/SurgeData/323-peak_c.csv similarity index 100% rename from SurgeData/N=1000/323-peak_c.csv rename to SurgeData/323-peak_c.csv diff --git a/SurgeData/N=1000/323-peak_w.csv b/SurgeData/323-peak_w.csv similarity index 100% rename from SurgeData/N=1000/323-peak_w.csv rename to SurgeData/323-peak_w.csv diff --git a/SurgeData/N=1000/323-surge_c.csv b/SurgeData/323-surge_c.csv similarity index 100% rename from SurgeData/N=1000/323-surge_c.csv rename to SurgeData/323-surge_c.csv diff --git a/SurgeData/N=1000/323-surge_w.csv b/SurgeData/323-surge_w.csv similarity index 100% rename from SurgeData/N=1000/323-surge_w.csv rename to SurgeData/323-surge_w.csv diff --git a/SurgeData/N=1000/323-time_c.csv b/SurgeData/323-time_c.csv similarity index 100% rename from SurgeData/N=1000/323-time_c.csv rename to SurgeData/323-time_c.csv diff --git a/SurgeData/N=1000/323-time_w.csv b/SurgeData/323-time_w.csv similarity index 100% rename from SurgeData/N=1000/323-time_w.csv rename to SurgeData/323-time_w.csv diff --git a/SurgeData/N=1000/323-waterlevel_c.csv b/SurgeData/323-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/323-waterlevel_c.csv rename to SurgeData/323-waterlevel_c.csv diff --git a/SurgeData/N=1000/323-waterlevel_w.csv b/SurgeData/323-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/323-waterlevel_w.csv rename to SurgeData/323-waterlevel_w.csv diff --git a/SurgeData/324-num_storm.csv b/SurgeData/324-num_storm.csv new file mode 100644 index 00000000..3a177860 --- /dev/null +++ b/SurgeData/324-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,1.0 +2022,2.0,5.0 +2023,2.0,3.0 +2024,1.0,7.0 +2025,1.0,2.0 +2026,0.0,9.0 +2027,1.0,8.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,2.0,5.0 +2031,4.0,5.0 +2032,0.0,5.0 +2033,3.0,1.0 +2034,0.0,2.0 +2035,0.0,6.0 +2036,4.0,2.0 +2037,2.0,4.0 +2038,1.0,2.0 +2039,2.0,2.0 +2040,3.0,6.0 +2041,1.0,3.0 +2042,2.0,5.0 +2043,1.0,4.0 +2044,1.0,1.0 +2045,1.0,6.0 +2046,2.0,7.0 +2047,0.0,3.0 +2048,1.0,2.0 +2049,1.0,7.0 +2050,0.0,1.0 +2051,3.0,3.0 +2052,0.0,3.0 +2053,0.0,4.0 +2054,2.0,2.0 +2055,1.0,4.0 +2056,0.0,7.0 +2057,0.0,6.0 +2058,2.0,5.0 +2059,3.0,9.0 +2060,2.0,4.0 +2061,1.0,6.0 +2062,1.0,1.0 +2063,3.0,1.0 +2064,1.0,8.0 +2065,3.0,3.0 +2066,2.0,4.0 +2067,4.0,3.0 +2068,1.0,7.0 +2069,1.0,5.0 +2070,2.0,2.0 +2071,0.0,2.0 +2072,2.0,5.0 +2073,1.0,6.0 +2074,2.0,3.0 +2075,3.0,9.0 +2076,2.0,3.0 +2077,2.0,4.0 +2078,2.0,6.0 +2079,2.0,7.0 +2080,1.0,4.0 +2081,0.0,6.0 +2082,1.0,2.0 +2083,1.0,2.0 +2084,0.0,6.0 +2085,0.0,4.0 +2086,1.0,5.0 +2087,1.0,4.0 +2088,0.0,3.0 +2089,2.0,5.0 +2090,0.0,4.0 +2091,2.0,0.0 +2092,3.0,6.0 +2093,0.0,3.0 +2094,1.0,4.0 +2095,1.0,3.0 +2096,1.0,5.0 +2097,1.0,8.0 +2098,2.0,6.0 +2099,2.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/324-peak+year_c.csv b/SurgeData/324-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/324-peak+year_c.csv rename to SurgeData/324-peak+year_c.csv diff --git a/SurgeData/N=1000/324-peak+year_w.csv b/SurgeData/324-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/324-peak+year_w.csv rename to SurgeData/324-peak+year_w.csv diff --git a/SurgeData/N=1000/324-peak_c.csv b/SurgeData/324-peak_c.csv similarity index 100% rename from SurgeData/N=1000/324-peak_c.csv rename to SurgeData/324-peak_c.csv diff --git a/SurgeData/N=1000/324-peak_w.csv b/SurgeData/324-peak_w.csv similarity index 100% rename from SurgeData/N=1000/324-peak_w.csv rename to SurgeData/324-peak_w.csv diff --git a/SurgeData/N=1000/324-surge_c.csv b/SurgeData/324-surge_c.csv similarity index 100% rename from SurgeData/N=1000/324-surge_c.csv rename to SurgeData/324-surge_c.csv diff --git a/SurgeData/N=1000/324-surge_w.csv b/SurgeData/324-surge_w.csv similarity index 100% rename from SurgeData/N=1000/324-surge_w.csv rename to SurgeData/324-surge_w.csv diff --git a/SurgeData/N=1000/324-time_c.csv b/SurgeData/324-time_c.csv similarity index 100% rename from SurgeData/N=1000/324-time_c.csv rename to SurgeData/324-time_c.csv diff --git a/SurgeData/N=1000/324-time_w.csv b/SurgeData/324-time_w.csv similarity index 100% rename from SurgeData/N=1000/324-time_w.csv rename to SurgeData/324-time_w.csv diff --git a/SurgeData/N=1000/324-waterlevel_c.csv b/SurgeData/324-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/324-waterlevel_c.csv rename to SurgeData/324-waterlevel_c.csv diff --git a/SurgeData/N=1000/324-waterlevel_w.csv b/SurgeData/324-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/324-waterlevel_w.csv rename to SurgeData/324-waterlevel_w.csv diff --git a/SurgeData/N=1000/325-peak+year_c.csv b/SurgeData/325-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/325-peak+year_c.csv rename to SurgeData/325-peak+year_c.csv diff --git a/SurgeData/N=1000/325-peak+year_w.csv b/SurgeData/325-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/325-peak+year_w.csv rename to SurgeData/325-peak+year_w.csv diff --git a/SurgeData/N=1000/325-peak_c.csv b/SurgeData/325-peak_c.csv similarity index 100% rename from SurgeData/N=1000/325-peak_c.csv rename to SurgeData/325-peak_c.csv diff --git a/SurgeData/N=1000/325-peak_w.csv b/SurgeData/325-peak_w.csv similarity index 100% rename from SurgeData/N=1000/325-peak_w.csv rename to SurgeData/325-peak_w.csv diff --git a/SurgeData/N=1000/325-surge_c.csv b/SurgeData/325-surge_c.csv similarity index 100% rename from SurgeData/N=1000/325-surge_c.csv rename to SurgeData/325-surge_c.csv diff --git a/SurgeData/N=1000/325-surge_w.csv b/SurgeData/325-surge_w.csv similarity index 100% rename from SurgeData/N=1000/325-surge_w.csv rename to SurgeData/325-surge_w.csv diff --git a/SurgeData/N=1000/325-time_c.csv b/SurgeData/325-time_c.csv similarity index 100% rename from SurgeData/N=1000/325-time_c.csv rename to SurgeData/325-time_c.csv diff --git a/SurgeData/N=1000/325-time_w.csv b/SurgeData/325-time_w.csv similarity index 100% rename from SurgeData/N=1000/325-time_w.csv rename to SurgeData/325-time_w.csv diff --git a/SurgeData/N=1000/325-waterlevel_c.csv b/SurgeData/325-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/325-waterlevel_c.csv rename to SurgeData/325-waterlevel_c.csv diff --git a/SurgeData/N=1000/325-waterlevel_w.csv b/SurgeData/325-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/325-waterlevel_w.csv rename to SurgeData/325-waterlevel_w.csv diff --git a/SurgeData/N=1000/326-peak+year_c.csv b/SurgeData/326-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/326-peak+year_c.csv rename to SurgeData/326-peak+year_c.csv diff --git a/SurgeData/N=1000/326-peak+year_w.csv b/SurgeData/326-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/326-peak+year_w.csv rename to SurgeData/326-peak+year_w.csv diff --git a/SurgeData/N=1000/326-peak_c.csv b/SurgeData/326-peak_c.csv similarity index 100% rename from SurgeData/N=1000/326-peak_c.csv rename to SurgeData/326-peak_c.csv diff --git a/SurgeData/N=1000/326-peak_w.csv b/SurgeData/326-peak_w.csv similarity index 100% rename from SurgeData/N=1000/326-peak_w.csv rename to SurgeData/326-peak_w.csv diff --git a/SurgeData/N=1000/326-surge_c.csv b/SurgeData/326-surge_c.csv similarity index 100% rename from SurgeData/N=1000/326-surge_c.csv rename to SurgeData/326-surge_c.csv diff --git a/SurgeData/N=1000/326-surge_w.csv b/SurgeData/326-surge_w.csv similarity index 100% rename from SurgeData/N=1000/326-surge_w.csv rename to SurgeData/326-surge_w.csv diff --git a/SurgeData/N=1000/326-time_c.csv b/SurgeData/326-time_c.csv similarity index 100% rename from SurgeData/N=1000/326-time_c.csv rename to SurgeData/326-time_c.csv diff --git a/SurgeData/N=1000/326-time_w.csv b/SurgeData/326-time_w.csv similarity index 100% rename from SurgeData/N=1000/326-time_w.csv rename to SurgeData/326-time_w.csv diff --git a/SurgeData/N=1000/326-waterlevel_c.csv b/SurgeData/326-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/326-waterlevel_c.csv rename to SurgeData/326-waterlevel_c.csv diff --git a/SurgeData/N=1000/326-waterlevel_w.csv b/SurgeData/326-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/326-waterlevel_w.csv rename to SurgeData/326-waterlevel_w.csv diff --git a/SurgeData/327-num_storm.csv b/SurgeData/327-num_storm.csv new file mode 100644 index 00000000..36994b2d --- /dev/null +++ b/SurgeData/327-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,5.0 +2022,3.0,2.0 +2023,1.0,3.0 +2024,2.0,1.0 +2025,0.0,2.0 +2026,1.0,2.0 +2027,2.0,3.0 +2028,1.0,3.0 +2029,3.0,2.0 +2030,4.0,6.0 +2031,1.0,4.0 +2032,2.0,4.0 +2033,1.0,4.0 +2034,3.0,5.0 +2035,2.0,6.0 +2036,2.0,1.0 +2037,4.0,2.0 +2038,1.0,5.0 +2039,0.0,2.0 +2040,3.0,5.0 +2041,1.0,6.0 +2042,2.0,3.0 +2043,2.0,5.0 +2044,3.0,3.0 +2045,1.0,9.0 +2046,3.0,4.0 +2047,2.0,5.0 +2048,1.0,5.0 +2049,1.0,3.0 +2050,1.0,9.0 +2051,3.0,7.0 +2052,2.0,2.0 +2053,2.0,4.0 +2054,1.0,6.0 +2055,3.0,0.0 +2056,0.0,4.0 +2057,3.0,8.0 +2058,3.0,3.0 +2059,2.0,5.0 +2060,0.0,4.0 +2061,0.0,9.0 +2062,1.0,3.0 +2063,0.0,6.0 +2064,1.0,4.0 +2065,2.0,5.0 +2066,1.0,2.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,0.0,2.0 +2070,0.0,8.0 +2071,5.0,3.0 +2072,0.0,8.0 +2073,3.0,7.0 +2074,2.0,2.0 +2075,4.0,8.0 +2076,0.0,4.0 +2077,0.0,6.0 +2078,1.0,4.0 +2079,1.0,8.0 +2080,1.0,4.0 +2081,2.0,5.0 +2082,4.0,5.0 +2083,2.0,2.0 +2084,2.0,7.0 +2085,2.0,4.0 +2086,1.0,5.0 +2087,0.0,0.0 +2088,5.0,3.0 +2089,2.0,5.0 +2090,2.0,2.0 +2091,3.0,3.0 +2092,2.0,6.0 +2093,2.0,3.0 +2094,2.0,6.0 +2095,1.0,3.0 +2096,3.0,2.0 +2097,4.0,4.0 +2098,2.0,8.0 +2099,1.0,2.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/327-peak+year_c.csv b/SurgeData/327-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/327-peak+year_c.csv rename to SurgeData/327-peak+year_c.csv diff --git a/SurgeData/N=1000/327-peak+year_w.csv b/SurgeData/327-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/327-peak+year_w.csv rename to SurgeData/327-peak+year_w.csv diff --git a/SurgeData/N=1000/327-peak_c.csv b/SurgeData/327-peak_c.csv similarity index 100% rename from SurgeData/N=1000/327-peak_c.csv rename to SurgeData/327-peak_c.csv diff --git a/SurgeData/N=1000/327-peak_w.csv b/SurgeData/327-peak_w.csv similarity index 100% rename from SurgeData/N=1000/327-peak_w.csv rename to SurgeData/327-peak_w.csv diff --git a/SurgeData/N=1000/327-surge_c.csv b/SurgeData/327-surge_c.csv similarity index 100% rename from SurgeData/N=1000/327-surge_c.csv rename to SurgeData/327-surge_c.csv diff --git a/SurgeData/N=1000/327-surge_w.csv b/SurgeData/327-surge_w.csv similarity index 100% rename from SurgeData/N=1000/327-surge_w.csv rename to SurgeData/327-surge_w.csv diff --git a/SurgeData/N=1000/327-time_c.csv b/SurgeData/327-time_c.csv similarity index 100% rename from SurgeData/N=1000/327-time_c.csv rename to SurgeData/327-time_c.csv diff --git a/SurgeData/N=1000/327-time_w.csv b/SurgeData/327-time_w.csv similarity index 100% rename from SurgeData/N=1000/327-time_w.csv rename to SurgeData/327-time_w.csv diff --git a/SurgeData/N=1000/327-waterlevel_c.csv b/SurgeData/327-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/327-waterlevel_c.csv rename to SurgeData/327-waterlevel_c.csv diff --git a/SurgeData/N=1000/327-waterlevel_w.csv b/SurgeData/327-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/327-waterlevel_w.csv rename to SurgeData/327-waterlevel_w.csv diff --git a/SurgeData/328-num_storm.csv b/SurgeData/328-num_storm.csv new file mode 100644 index 00000000..0e15404b --- /dev/null +++ b/SurgeData/328-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,2.0 +2022,0.0,11.0 +2023,0.0,4.0 +2024,0.0,5.0 +2025,2.0,3.0 +2026,3.0,4.0 +2027,0.0,5.0 +2028,2.0,7.0 +2029,2.0,4.0 +2030,3.0,3.0 +2031,1.0,4.0 +2032,1.0,3.0 +2033,1.0,5.0 +2034,0.0,7.0 +2035,3.0,7.0 +2036,1.0,4.0 +2037,1.0,5.0 +2038,2.0,2.0 +2039,0.0,8.0 +2040,1.0,4.0 +2041,1.0,7.0 +2042,2.0,2.0 +2043,1.0,3.0 +2044,2.0,4.0 +2045,2.0,2.0 +2046,1.0,4.0 +2047,5.0,3.0 +2048,2.0,3.0 +2049,3.0,4.0 +2050,3.0,6.0 +2051,0.0,7.0 +2052,0.0,4.0 +2053,0.0,7.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,1.0,6.0 +2057,1.0,4.0 +2058,1.0,6.0 +2059,0.0,5.0 +2060,0.0,4.0 +2061,0.0,6.0 +2062,1.0,3.0 +2063,2.0,1.0 +2064,2.0,5.0 +2065,2.0,5.0 +2066,1.0,4.0 +2067,4.0,5.0 +2068,4.0,2.0 +2069,2.0,4.0 +2070,3.0,4.0 +2071,1.0,7.0 +2072,2.0,1.0 +2073,0.0,1.0 +2074,1.0,6.0 +2075,0.0,7.0 +2076,1.0,4.0 +2077,3.0,4.0 +2078,1.0,2.0 +2079,2.0,2.0 +2080,4.0,5.0 +2081,2.0,3.0 +2082,1.0,4.0 +2083,1.0,4.0 +2084,2.0,4.0 +2085,2.0,5.0 +2086,1.0,5.0 +2087,1.0,5.0 +2088,1.0,6.0 +2089,2.0,3.0 +2090,0.0,3.0 +2091,1.0,3.0 +2092,2.0,5.0 +2093,0.0,3.0 +2094,0.0,3.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,0.0,6.0 +2098,1.0,3.0 +2099,1.0,4.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/328-peak+year_c.csv b/SurgeData/328-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/328-peak+year_c.csv rename to SurgeData/328-peak+year_c.csv diff --git a/SurgeData/N=1000/328-peak+year_w.csv b/SurgeData/328-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/328-peak+year_w.csv rename to SurgeData/328-peak+year_w.csv diff --git a/SurgeData/N=1000/328-peak_c.csv b/SurgeData/328-peak_c.csv similarity index 100% rename from SurgeData/N=1000/328-peak_c.csv rename to SurgeData/328-peak_c.csv diff --git a/SurgeData/N=1000/328-peak_w.csv b/SurgeData/328-peak_w.csv similarity index 100% rename from SurgeData/N=1000/328-peak_w.csv rename to SurgeData/328-peak_w.csv diff --git a/SurgeData/N=1000/328-surge_c.csv b/SurgeData/328-surge_c.csv similarity index 100% rename from SurgeData/N=1000/328-surge_c.csv rename to SurgeData/328-surge_c.csv diff --git a/SurgeData/N=1000/328-surge_w.csv b/SurgeData/328-surge_w.csv similarity index 100% rename from SurgeData/N=1000/328-surge_w.csv rename to SurgeData/328-surge_w.csv diff --git a/SurgeData/N=1000/328-time_c.csv b/SurgeData/328-time_c.csv similarity index 100% rename from SurgeData/N=1000/328-time_c.csv rename to SurgeData/328-time_c.csv diff --git a/SurgeData/N=1000/328-time_w.csv b/SurgeData/328-time_w.csv similarity index 100% rename from SurgeData/N=1000/328-time_w.csv rename to SurgeData/328-time_w.csv diff --git a/SurgeData/N=1000/328-waterlevel_c.csv b/SurgeData/328-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/328-waterlevel_c.csv rename to SurgeData/328-waterlevel_c.csv diff --git a/SurgeData/N=1000/328-waterlevel_w.csv b/SurgeData/328-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/328-waterlevel_w.csv rename to SurgeData/328-waterlevel_w.csv diff --git a/SurgeData/329-num_storm.csv b/SurgeData/329-num_storm.csv new file mode 100644 index 00000000..e00511e8 --- /dev/null +++ b/SurgeData/329-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,3.0 +2022,2.0,3.0 +2023,0.0,7.0 +2024,1.0,5.0 +2025,5.0,3.0 +2026,2.0,3.0 +2027,0.0,5.0 +2028,1.0,4.0 +2029,1.0,7.0 +2030,1.0,3.0 +2031,0.0,2.0 +2032,0.0,3.0 +2033,2.0,6.0 +2034,1.0,3.0 +2035,2.0,8.0 +2036,4.0,3.0 +2037,1.0,7.0 +2038,2.0,5.0 +2039,3.0,6.0 +2040,5.0,5.0 +2041,0.0,3.0 +2042,1.0,3.0 +2043,1.0,3.0 +2044,3.0,5.0 +2045,1.0,5.0 +2046,4.0,2.0 +2047,0.0,4.0 +2048,3.0,3.0 +2049,1.0,3.0 +2050,0.0,6.0 +2051,0.0,3.0 +2052,2.0,7.0 +2053,0.0,5.0 +2054,1.0,2.0 +2055,1.0,3.0 +2056,1.0,8.0 +2057,0.0,4.0 +2058,1.0,2.0 +2059,5.0,2.0 +2060,0.0,6.0 +2061,0.0,3.0 +2062,1.0,5.0 +2063,2.0,4.0 +2064,0.0,3.0 +2065,0.0,6.0 +2066,2.0,1.0 +2067,2.0,4.0 +2068,1.0,6.0 +2069,1.0,3.0 +2070,2.0,3.0 +2071,0.0,1.0 +2072,1.0,6.0 +2073,3.0,8.0 +2074,3.0,7.0 +2075,2.0,5.0 +2076,0.0,5.0 +2077,2.0,5.0 +2078,3.0,2.0 +2079,2.0,2.0 +2080,1.0,7.0 +2081,2.0,4.0 +2082,3.0,3.0 +2083,2.0,2.0 +2084,1.0,7.0 +2085,2.0,5.0 +2086,2.0,3.0 +2087,1.0,5.0 +2088,1.0,8.0 +2089,1.0,3.0 +2090,2.0,6.0 +2091,2.0,6.0 +2092,1.0,5.0 +2093,3.0,1.0 +2094,0.0,3.0 +2095,2.0,2.0 +2096,3.0,4.0 +2097,1.0,1.0 +2098,1.0,4.0 +2099,1.0,2.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/329-peak+year_c.csv b/SurgeData/329-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/329-peak+year_c.csv rename to SurgeData/329-peak+year_c.csv diff --git a/SurgeData/N=1000/329-peak+year_w.csv b/SurgeData/329-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/329-peak+year_w.csv rename to SurgeData/329-peak+year_w.csv diff --git a/SurgeData/N=1000/329-peak_c.csv b/SurgeData/329-peak_c.csv similarity index 100% rename from SurgeData/N=1000/329-peak_c.csv rename to SurgeData/329-peak_c.csv diff --git a/SurgeData/N=1000/329-peak_w.csv b/SurgeData/329-peak_w.csv similarity index 100% rename from SurgeData/N=1000/329-peak_w.csv rename to SurgeData/329-peak_w.csv diff --git a/SurgeData/N=1000/329-surge_c.csv b/SurgeData/329-surge_c.csv similarity index 100% rename from SurgeData/N=1000/329-surge_c.csv rename to SurgeData/329-surge_c.csv diff --git a/SurgeData/N=1000/329-surge_w.csv b/SurgeData/329-surge_w.csv similarity index 100% rename from SurgeData/N=1000/329-surge_w.csv rename to SurgeData/329-surge_w.csv diff --git a/SurgeData/N=1000/329-time_c.csv b/SurgeData/329-time_c.csv similarity index 100% rename from SurgeData/N=1000/329-time_c.csv rename to SurgeData/329-time_c.csv diff --git a/SurgeData/N=1000/329-time_w.csv b/SurgeData/329-time_w.csv similarity index 100% rename from SurgeData/N=1000/329-time_w.csv rename to SurgeData/329-time_w.csv diff --git a/SurgeData/N=1000/329-waterlevel_c.csv b/SurgeData/329-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/329-waterlevel_c.csv rename to SurgeData/329-waterlevel_c.csv diff --git a/SurgeData/N=1000/329-waterlevel_w.csv b/SurgeData/329-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/329-waterlevel_w.csv rename to SurgeData/329-waterlevel_w.csv diff --git a/SurgeData/33-num_storm.csv b/SurgeData/33-num_storm.csv new file mode 100644 index 00000000..0b61d3ee --- /dev/null +++ b/SurgeData/33-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,6.0 +2022,0.0,4.0 +2023,1.0,2.0 +2024,0.0,6.0 +2025,1.0,4.0 +2026,5.0,9.0 +2027,5.0,2.0 +2028,4.0,0.0 +2029,0.0,6.0 +2030,1.0,9.0 +2031,3.0,3.0 +2032,1.0,5.0 +2033,4.0,4.0 +2034,1.0,3.0 +2035,0.0,4.0 +2036,2.0,2.0 +2037,3.0,3.0 +2038,2.0,1.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,2.0,1.0 +2042,2.0,4.0 +2043,1.0,5.0 +2044,2.0,6.0 +2045,3.0,4.0 +2046,2.0,5.0 +2047,4.0,3.0 +2048,3.0,5.0 +2049,1.0,5.0 +2050,1.0,2.0 +2051,1.0,4.0 +2052,1.0,2.0 +2053,3.0,3.0 +2054,2.0,2.0 +2055,1.0,7.0 +2056,2.0,5.0 +2057,2.0,5.0 +2058,0.0,2.0 +2059,2.0,3.0 +2060,3.0,5.0 +2061,2.0,7.0 +2062,1.0,8.0 +2063,2.0,4.0 +2064,1.0,4.0 +2065,2.0,7.0 +2066,2.0,4.0 +2067,3.0,6.0 +2068,0.0,3.0 +2069,3.0,3.0 +2070,4.0,3.0 +2071,3.0,5.0 +2072,0.0,2.0 +2073,3.0,1.0 +2074,0.0,3.0 +2075,1.0,0.0 +2076,1.0,4.0 +2077,0.0,4.0 +2078,1.0,3.0 +2079,1.0,4.0 +2080,1.0,4.0 +2081,1.0,2.0 +2082,2.0,2.0 +2083,2.0,3.0 +2084,1.0,7.0 +2085,1.0,5.0 +2086,1.0,4.0 +2087,3.0,5.0 +2088,0.0,1.0 +2089,4.0,5.0 +2090,0.0,6.0 +2091,2.0,10.0 +2092,2.0,6.0 +2093,3.0,8.0 +2094,0.0,6.0 +2095,1.0,2.0 +2096,1.0,5.0 +2097,3.0,2.0 +2098,1.0,5.0 +2099,2.0,6.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/33-peak+year_c.csv b/SurgeData/33-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/33-peak+year_c.csv rename to SurgeData/33-peak+year_c.csv diff --git a/SurgeData/N=1000/33-peak+year_w.csv b/SurgeData/33-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/33-peak+year_w.csv rename to SurgeData/33-peak+year_w.csv diff --git a/SurgeData/N=1000/33-peak_c.csv b/SurgeData/33-peak_c.csv similarity index 100% rename from SurgeData/N=1000/33-peak_c.csv rename to SurgeData/33-peak_c.csv diff --git a/SurgeData/N=1000/33-peak_w.csv b/SurgeData/33-peak_w.csv similarity index 100% rename from SurgeData/N=1000/33-peak_w.csv rename to SurgeData/33-peak_w.csv diff --git a/SurgeData/N=1000/33-surge_c.csv b/SurgeData/33-surge_c.csv similarity index 100% rename from SurgeData/N=1000/33-surge_c.csv rename to SurgeData/33-surge_c.csv diff --git a/SurgeData/N=1000/33-surge_w.csv b/SurgeData/33-surge_w.csv similarity index 100% rename from SurgeData/N=1000/33-surge_w.csv rename to SurgeData/33-surge_w.csv diff --git a/SurgeData/N=1000/33-time_c.csv b/SurgeData/33-time_c.csv similarity index 100% rename from SurgeData/N=1000/33-time_c.csv rename to SurgeData/33-time_c.csv diff --git a/SurgeData/N=1000/33-time_w.csv b/SurgeData/33-time_w.csv similarity index 100% rename from SurgeData/N=1000/33-time_w.csv rename to SurgeData/33-time_w.csv diff --git a/SurgeData/N=1000/33-waterlevel_c.csv b/SurgeData/33-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/33-waterlevel_c.csv rename to SurgeData/33-waterlevel_c.csv diff --git a/SurgeData/N=1000/33-waterlevel_w.csv b/SurgeData/33-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/33-waterlevel_w.csv rename to SurgeData/33-waterlevel_w.csv diff --git a/SurgeData/330-num_storm.csv b/SurgeData/330-num_storm.csv new file mode 100644 index 00000000..d8b843f1 --- /dev/null +++ b/SurgeData/330-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,4.0 +2021,0.0,2.0 +2022,1.0,3.0 +2023,1.0,7.0 +2024,1.0,5.0 +2025,1.0,4.0 +2026,2.0,5.0 +2027,1.0,2.0 +2028,0.0,7.0 +2029,2.0,6.0 +2030,0.0,3.0 +2031,0.0,5.0 +2032,1.0,4.0 +2033,1.0,3.0 +2034,1.0,5.0 +2035,2.0,2.0 +2036,2.0,5.0 +2037,0.0,1.0 +2038,1.0,5.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,2.0,4.0 +2044,2.0,8.0 +2045,2.0,2.0 +2046,0.0,4.0 +2047,3.0,8.0 +2048,3.0,3.0 +2049,6.0,5.0 +2050,0.0,2.0 +2051,0.0,2.0 +2052,1.0,5.0 +2053,3.0,5.0 +2054,2.0,6.0 +2055,2.0,3.0 +2056,2.0,3.0 +2057,1.0,9.0 +2058,2.0,2.0 +2059,2.0,3.0 +2060,1.0,11.0 +2061,2.0,2.0 +2062,0.0,5.0 +2063,1.0,3.0 +2064,1.0,5.0 +2065,3.0,4.0 +2066,3.0,4.0 +2067,2.0,3.0 +2068,0.0,2.0 +2069,2.0,3.0 +2070,1.0,5.0 +2071,3.0,3.0 +2072,0.0,7.0 +2073,2.0,4.0 +2074,0.0,3.0 +2075,2.0,5.0 +2076,2.0,5.0 +2077,6.0,3.0 +2078,1.0,4.0 +2079,1.0,4.0 +2080,2.0,0.0 +2081,2.0,4.0 +2082,1.0,8.0 +2083,0.0,1.0 +2084,1.0,5.0 +2085,1.0,6.0 +2086,3.0,3.0 +2087,4.0,3.0 +2088,0.0,3.0 +2089,1.0,4.0 +2090,0.0,4.0 +2091,1.0,6.0 +2092,1.0,2.0 +2093,4.0,1.0 +2094,1.0,2.0 +2095,1.0,6.0 +2096,5.0,3.0 +2097,0.0,6.0 +2098,2.0,4.0 +2099,3.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/330-peak+year_c.csv b/SurgeData/330-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/330-peak+year_c.csv rename to SurgeData/330-peak+year_c.csv diff --git a/SurgeData/N=1000/330-peak+year_w.csv b/SurgeData/330-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/330-peak+year_w.csv rename to SurgeData/330-peak+year_w.csv diff --git a/SurgeData/N=1000/330-peak_c.csv b/SurgeData/330-peak_c.csv similarity index 100% rename from SurgeData/N=1000/330-peak_c.csv rename to SurgeData/330-peak_c.csv diff --git a/SurgeData/N=1000/330-peak_w.csv b/SurgeData/330-peak_w.csv similarity index 100% rename from SurgeData/N=1000/330-peak_w.csv rename to SurgeData/330-peak_w.csv diff --git a/SurgeData/N=1000/330-surge_c.csv b/SurgeData/330-surge_c.csv similarity index 100% rename from SurgeData/N=1000/330-surge_c.csv rename to SurgeData/330-surge_c.csv diff --git a/SurgeData/N=1000/330-surge_w.csv b/SurgeData/330-surge_w.csv similarity index 100% rename from SurgeData/N=1000/330-surge_w.csv rename to SurgeData/330-surge_w.csv diff --git a/SurgeData/N=1000/330-time_c.csv b/SurgeData/330-time_c.csv similarity index 100% rename from SurgeData/N=1000/330-time_c.csv rename to SurgeData/330-time_c.csv diff --git a/SurgeData/N=1000/330-time_w.csv b/SurgeData/330-time_w.csv similarity index 100% rename from SurgeData/N=1000/330-time_w.csv rename to SurgeData/330-time_w.csv diff --git a/SurgeData/N=1000/330-waterlevel_c.csv b/SurgeData/330-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/330-waterlevel_c.csv rename to SurgeData/330-waterlevel_c.csv diff --git a/SurgeData/N=1000/330-waterlevel_w.csv b/SurgeData/330-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/330-waterlevel_w.csv rename to SurgeData/330-waterlevel_w.csv diff --git a/SurgeData/N=1000/331-peak+year_c.csv b/SurgeData/331-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/331-peak+year_c.csv rename to SurgeData/331-peak+year_c.csv diff --git a/SurgeData/N=1000/331-peak+year_w.csv b/SurgeData/331-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/331-peak+year_w.csv rename to SurgeData/331-peak+year_w.csv diff --git a/SurgeData/N=1000/331-peak_c.csv b/SurgeData/331-peak_c.csv similarity index 100% rename from SurgeData/N=1000/331-peak_c.csv rename to SurgeData/331-peak_c.csv diff --git a/SurgeData/N=1000/331-peak_w.csv b/SurgeData/331-peak_w.csv similarity index 100% rename from SurgeData/N=1000/331-peak_w.csv rename to SurgeData/331-peak_w.csv diff --git a/SurgeData/N=1000/331-surge_c.csv b/SurgeData/331-surge_c.csv similarity index 100% rename from SurgeData/N=1000/331-surge_c.csv rename to SurgeData/331-surge_c.csv diff --git a/SurgeData/N=1000/331-surge_w.csv b/SurgeData/331-surge_w.csv similarity index 100% rename from SurgeData/N=1000/331-surge_w.csv rename to SurgeData/331-surge_w.csv diff --git a/SurgeData/N=1000/331-time_c.csv b/SurgeData/331-time_c.csv similarity index 100% rename from SurgeData/N=1000/331-time_c.csv rename to SurgeData/331-time_c.csv diff --git a/SurgeData/N=1000/331-time_w.csv b/SurgeData/331-time_w.csv similarity index 100% rename from SurgeData/N=1000/331-time_w.csv rename to SurgeData/331-time_w.csv diff --git a/SurgeData/N=1000/331-waterlevel_c.csv b/SurgeData/331-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/331-waterlevel_c.csv rename to SurgeData/331-waterlevel_c.csv diff --git a/SurgeData/N=1000/331-waterlevel_w.csv b/SurgeData/331-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/331-waterlevel_w.csv rename to SurgeData/331-waterlevel_w.csv diff --git a/SurgeData/332-num_storm.csv b/SurgeData/332-num_storm.csv new file mode 100644 index 00000000..1fa46739 --- /dev/null +++ b/SurgeData/332-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,2.0,3.0 +2022,0.0,4.0 +2023,1.0,1.0 +2024,0.0,6.0 +2025,3.0,9.0 +2026,4.0,5.0 +2027,2.0,2.0 +2028,2.0,4.0 +2029,1.0,6.0 +2030,1.0,5.0 +2031,3.0,4.0 +2032,0.0,6.0 +2033,0.0,6.0 +2034,1.0,9.0 +2035,1.0,3.0 +2036,1.0,4.0 +2037,3.0,9.0 +2038,0.0,4.0 +2039,3.0,7.0 +2040,0.0,2.0 +2041,2.0,5.0 +2042,1.0,5.0 +2043,0.0,2.0 +2044,0.0,2.0 +2045,1.0,3.0 +2046,1.0,7.0 +2047,2.0,1.0 +2048,1.0,4.0 +2049,1.0,2.0 +2050,3.0,4.0 +2051,2.0,4.0 +2052,1.0,7.0 +2053,2.0,1.0 +2054,0.0,4.0 +2055,0.0,1.0 +2056,2.0,3.0 +2057,2.0,0.0 +2058,1.0,3.0 +2059,1.0,1.0 +2060,0.0,4.0 +2061,3.0,3.0 +2062,3.0,6.0 +2063,4.0,9.0 +2064,0.0,3.0 +2065,1.0,4.0 +2066,0.0,3.0 +2067,0.0,5.0 +2068,1.0,3.0 +2069,1.0,5.0 +2070,3.0,8.0 +2071,0.0,2.0 +2072,2.0,3.0 +2073,1.0,4.0 +2074,2.0,0.0 +2075,1.0,3.0 +2076,0.0,4.0 +2077,2.0,2.0 +2078,0.0,4.0 +2079,0.0,5.0 +2080,0.0,4.0 +2081,3.0,6.0 +2082,1.0,6.0 +2083,3.0,3.0 +2084,3.0,5.0 +2085,2.0,3.0 +2086,0.0,5.0 +2087,1.0,7.0 +2088,3.0,5.0 +2089,1.0,5.0 +2090,2.0,7.0 +2091,1.0,4.0 +2092,1.0,2.0 +2093,2.0,2.0 +2094,3.0,1.0 +2095,1.0,5.0 +2096,1.0,6.0 +2097,3.0,3.0 +2098,3.0,4.0 +2099,2.0,1.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/332-peak+year_c.csv b/SurgeData/332-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/332-peak+year_c.csv rename to SurgeData/332-peak+year_c.csv diff --git a/SurgeData/N=1000/332-peak+year_w.csv b/SurgeData/332-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/332-peak+year_w.csv rename to SurgeData/332-peak+year_w.csv diff --git a/SurgeData/N=1000/332-peak_c.csv b/SurgeData/332-peak_c.csv similarity index 100% rename from SurgeData/N=1000/332-peak_c.csv rename to SurgeData/332-peak_c.csv diff --git a/SurgeData/N=1000/332-peak_w.csv b/SurgeData/332-peak_w.csv similarity index 100% rename from SurgeData/N=1000/332-peak_w.csv rename to SurgeData/332-peak_w.csv diff --git a/SurgeData/N=1000/332-surge_c.csv b/SurgeData/332-surge_c.csv similarity index 100% rename from SurgeData/N=1000/332-surge_c.csv rename to SurgeData/332-surge_c.csv diff --git a/SurgeData/N=1000/332-surge_w.csv b/SurgeData/332-surge_w.csv similarity index 100% rename from SurgeData/N=1000/332-surge_w.csv rename to SurgeData/332-surge_w.csv diff --git a/SurgeData/N=1000/332-time_c.csv b/SurgeData/332-time_c.csv similarity index 100% rename from SurgeData/N=1000/332-time_c.csv rename to SurgeData/332-time_c.csv diff --git a/SurgeData/N=1000/332-time_w.csv b/SurgeData/332-time_w.csv similarity index 100% rename from SurgeData/N=1000/332-time_w.csv rename to SurgeData/332-time_w.csv diff --git a/SurgeData/N=1000/332-waterlevel_c.csv b/SurgeData/332-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/332-waterlevel_c.csv rename to SurgeData/332-waterlevel_c.csv diff --git a/SurgeData/N=1000/332-waterlevel_w.csv b/SurgeData/332-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/332-waterlevel_w.csv rename to SurgeData/332-waterlevel_w.csv diff --git a/SurgeData/333-num_storm.csv b/SurgeData/333-num_storm.csv new file mode 100644 index 00000000..9158fbb2 --- /dev/null +++ b/SurgeData/333-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,2.0 +2022,0.0,7.0 +2023,2.0,3.0 +2024,3.0,1.0 +2025,1.0,5.0 +2026,2.0,2.0 +2027,1.0,5.0 +2028,2.0,4.0 +2029,2.0,4.0 +2030,3.0,4.0 +2031,0.0,7.0 +2032,3.0,0.0 +2033,1.0,3.0 +2034,0.0,3.0 +2035,0.0,7.0 +2036,4.0,8.0 +2037,3.0,3.0 +2038,1.0,2.0 +2039,1.0,4.0 +2040,1.0,1.0 +2041,3.0,5.0 +2042,3.0,6.0 +2043,1.0,1.0 +2044,0.0,5.0 +2045,1.0,3.0 +2046,1.0,1.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,1.0,6.0 +2050,4.0,2.0 +2051,0.0,5.0 +2052,0.0,2.0 +2053,2.0,3.0 +2054,3.0,5.0 +2055,1.0,2.0 +2056,1.0,6.0 +2057,3.0,3.0 +2058,1.0,2.0 +2059,3.0,6.0 +2060,0.0,2.0 +2061,2.0,5.0 +2062,0.0,2.0 +2063,2.0,5.0 +2064,1.0,2.0 +2065,0.0,4.0 +2066,0.0,1.0 +2067,1.0,6.0 +2068,2.0,5.0 +2069,2.0,5.0 +2070,1.0,5.0 +2071,3.0,3.0 +2072,1.0,4.0 +2073,4.0,4.0 +2074,3.0,0.0 +2075,1.0,4.0 +2076,1.0,5.0 +2077,2.0,3.0 +2078,0.0,5.0 +2079,1.0,6.0 +2080,0.0,9.0 +2081,1.0,2.0 +2082,2.0,4.0 +2083,2.0,2.0 +2084,0.0,5.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,3.0,2.0 +2088,1.0,6.0 +2089,0.0,4.0 +2090,0.0,4.0 +2091,0.0,3.0 +2092,3.0,4.0 +2093,3.0,2.0 +2094,5.0,4.0 +2095,1.0,4.0 +2096,0.0,4.0 +2097,1.0,7.0 +2098,0.0,3.0 +2099,1.0,4.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/333-peak+year_c.csv b/SurgeData/333-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/333-peak+year_c.csv rename to SurgeData/333-peak+year_c.csv diff --git a/SurgeData/N=1000/333-peak+year_w.csv b/SurgeData/333-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/333-peak+year_w.csv rename to SurgeData/333-peak+year_w.csv diff --git a/SurgeData/N=1000/333-peak_c.csv b/SurgeData/333-peak_c.csv similarity index 100% rename from SurgeData/N=1000/333-peak_c.csv rename to SurgeData/333-peak_c.csv diff --git a/SurgeData/N=1000/333-peak_w.csv b/SurgeData/333-peak_w.csv similarity index 100% rename from SurgeData/N=1000/333-peak_w.csv rename to SurgeData/333-peak_w.csv diff --git a/SurgeData/N=1000/333-surge_c.csv b/SurgeData/333-surge_c.csv similarity index 100% rename from SurgeData/N=1000/333-surge_c.csv rename to SurgeData/333-surge_c.csv diff --git a/SurgeData/N=1000/333-surge_w.csv b/SurgeData/333-surge_w.csv similarity index 100% rename from SurgeData/N=1000/333-surge_w.csv rename to SurgeData/333-surge_w.csv diff --git a/SurgeData/N=1000/333-time_c.csv b/SurgeData/333-time_c.csv similarity index 100% rename from SurgeData/N=1000/333-time_c.csv rename to SurgeData/333-time_c.csv diff --git a/SurgeData/N=1000/333-time_w.csv b/SurgeData/333-time_w.csv similarity index 100% rename from SurgeData/N=1000/333-time_w.csv rename to SurgeData/333-time_w.csv diff --git a/SurgeData/N=1000/333-waterlevel_c.csv b/SurgeData/333-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/333-waterlevel_c.csv rename to SurgeData/333-waterlevel_c.csv diff --git a/SurgeData/N=1000/333-waterlevel_w.csv b/SurgeData/333-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/333-waterlevel_w.csv rename to SurgeData/333-waterlevel_w.csv diff --git a/SurgeData/334-num_storm.csv b/SurgeData/334-num_storm.csv new file mode 100644 index 00000000..7dc9c602 --- /dev/null +++ b/SurgeData/334-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,2.0,6.0 +2022,3.0,3.0 +2023,4.0,4.0 +2024,0.0,4.0 +2025,1.0,4.0 +2026,0.0,5.0 +2027,2.0,4.0 +2028,1.0,3.0 +2029,1.0,8.0 +2030,2.0,6.0 +2031,1.0,2.0 +2032,3.0,6.0 +2033,2.0,3.0 +2034,0.0,4.0 +2035,0.0,7.0 +2036,1.0,4.0 +2037,2.0,0.0 +2038,1.0,6.0 +2039,1.0,2.0 +2040,0.0,2.0 +2041,2.0,4.0 +2042,0.0,5.0 +2043,2.0,7.0 +2044,1.0,3.0 +2045,0.0,7.0 +2046,2.0,4.0 +2047,3.0,1.0 +2048,1.0,3.0 +2049,3.0,5.0 +2050,1.0,4.0 +2051,1.0,3.0 +2052,4.0,3.0 +2053,0.0,9.0 +2054,2.0,6.0 +2055,1.0,5.0 +2056,3.0,4.0 +2057,1.0,4.0 +2058,2.0,5.0 +2059,4.0,4.0 +2060,1.0,3.0 +2061,0.0,4.0 +2062,4.0,3.0 +2063,2.0,7.0 +2064,3.0,6.0 +2065,0.0,2.0 +2066,0.0,7.0 +2067,1.0,1.0 +2068,1.0,3.0 +2069,0.0,4.0 +2070,6.0,5.0 +2071,2.0,7.0 +2072,2.0,2.0 +2073,2.0,6.0 +2074,3.0,4.0 +2075,2.0,3.0 +2076,0.0,7.0 +2077,1.0,5.0 +2078,0.0,2.0 +2079,1.0,5.0 +2080,0.0,7.0 +2081,1.0,2.0 +2082,1.0,6.0 +2083,0.0,4.0 +2084,1.0,1.0 +2085,1.0,1.0 +2086,0.0,2.0 +2087,1.0,3.0 +2088,2.0,8.0 +2089,1.0,4.0 +2090,2.0,4.0 +2091,2.0,8.0 +2092,2.0,3.0 +2093,1.0,4.0 +2094,1.0,6.0 +2095,1.0,0.0 +2096,1.0,2.0 +2097,0.0,3.0 +2098,5.0,4.0 +2099,0.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/334-peak+year_c.csv b/SurgeData/334-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/334-peak+year_c.csv rename to SurgeData/334-peak+year_c.csv diff --git a/SurgeData/N=1000/334-peak+year_w.csv b/SurgeData/334-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/334-peak+year_w.csv rename to SurgeData/334-peak+year_w.csv diff --git a/SurgeData/N=1000/334-peak_c.csv b/SurgeData/334-peak_c.csv similarity index 100% rename from SurgeData/N=1000/334-peak_c.csv rename to SurgeData/334-peak_c.csv diff --git a/SurgeData/N=1000/334-peak_w.csv b/SurgeData/334-peak_w.csv similarity index 100% rename from SurgeData/N=1000/334-peak_w.csv rename to SurgeData/334-peak_w.csv diff --git a/SurgeData/N=1000/334-surge_c.csv b/SurgeData/334-surge_c.csv similarity index 100% rename from SurgeData/N=1000/334-surge_c.csv rename to SurgeData/334-surge_c.csv diff --git a/SurgeData/N=1000/334-surge_w.csv b/SurgeData/334-surge_w.csv similarity index 100% rename from SurgeData/N=1000/334-surge_w.csv rename to SurgeData/334-surge_w.csv diff --git a/SurgeData/N=1000/334-time_c.csv b/SurgeData/334-time_c.csv similarity index 100% rename from SurgeData/N=1000/334-time_c.csv rename to SurgeData/334-time_c.csv diff --git a/SurgeData/N=1000/334-time_w.csv b/SurgeData/334-time_w.csv similarity index 100% rename from SurgeData/N=1000/334-time_w.csv rename to SurgeData/334-time_w.csv diff --git a/SurgeData/N=1000/334-waterlevel_c.csv b/SurgeData/334-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/334-waterlevel_c.csv rename to SurgeData/334-waterlevel_c.csv diff --git a/SurgeData/N=1000/334-waterlevel_w.csv b/SurgeData/334-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/334-waterlevel_w.csv rename to SurgeData/334-waterlevel_w.csv diff --git a/SurgeData/335-num_storm.csv b/SurgeData/335-num_storm.csv new file mode 100644 index 00000000..89059110 --- /dev/null +++ b/SurgeData/335-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,3.0 +2022,0.0,8.0 +2023,1.0,2.0 +2024,0.0,2.0 +2025,2.0,5.0 +2026,0.0,7.0 +2027,1.0,3.0 +2028,3.0,4.0 +2029,2.0,5.0 +2030,2.0,4.0 +2031,0.0,2.0 +2032,1.0,5.0 +2033,0.0,4.0 +2034,1.0,5.0 +2035,1.0,3.0 +2036,1.0,4.0 +2037,2.0,11.0 +2038,0.0,2.0 +2039,0.0,6.0 +2040,1.0,6.0 +2041,0.0,1.0 +2042,3.0,6.0 +2043,1.0,4.0 +2044,1.0,4.0 +2045,3.0,9.0 +2046,4.0,4.0 +2047,3.0,1.0 +2048,3.0,0.0 +2049,3.0,3.0 +2050,0.0,2.0 +2051,0.0,3.0 +2052,1.0,6.0 +2053,2.0,2.0 +2054,2.0,4.0 +2055,1.0,3.0 +2056,1.0,5.0 +2057,1.0,1.0 +2058,3.0,2.0 +2059,1.0,4.0 +2060,4.0,6.0 +2061,1.0,3.0 +2062,0.0,2.0 +2063,0.0,5.0 +2064,0.0,7.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,1.0,2.0 +2068,0.0,4.0 +2069,2.0,3.0 +2070,3.0,6.0 +2071,0.0,2.0 +2072,0.0,1.0 +2073,0.0,1.0 +2074,1.0,5.0 +2075,2.0,1.0 +2076,0.0,4.0 +2077,1.0,4.0 +2078,1.0,6.0 +2079,1.0,5.0 +2080,1.0,7.0 +2081,1.0,4.0 +2082,0.0,6.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,4.0,3.0 +2086,1.0,6.0 +2087,0.0,2.0 +2088,0.0,6.0 +2089,0.0,6.0 +2090,4.0,3.0 +2091,1.0,5.0 +2092,0.0,10.0 +2093,2.0,3.0 +2094,1.0,4.0 +2095,4.0,5.0 +2096,4.0,8.0 +2097,2.0,6.0 +2098,1.0,4.0 +2099,2.0,4.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/335-peak+year_c.csv b/SurgeData/335-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/335-peak+year_c.csv rename to SurgeData/335-peak+year_c.csv diff --git a/SurgeData/N=1000/335-peak+year_w.csv b/SurgeData/335-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/335-peak+year_w.csv rename to SurgeData/335-peak+year_w.csv diff --git a/SurgeData/N=1000/335-peak_c.csv b/SurgeData/335-peak_c.csv similarity index 100% rename from SurgeData/N=1000/335-peak_c.csv rename to SurgeData/335-peak_c.csv diff --git a/SurgeData/N=1000/335-peak_w.csv b/SurgeData/335-peak_w.csv similarity index 100% rename from SurgeData/N=1000/335-peak_w.csv rename to SurgeData/335-peak_w.csv diff --git a/SurgeData/N=1000/335-surge_c.csv b/SurgeData/335-surge_c.csv similarity index 100% rename from SurgeData/N=1000/335-surge_c.csv rename to SurgeData/335-surge_c.csv diff --git a/SurgeData/N=1000/335-surge_w.csv b/SurgeData/335-surge_w.csv similarity index 100% rename from SurgeData/N=1000/335-surge_w.csv rename to SurgeData/335-surge_w.csv diff --git a/SurgeData/N=1000/335-time_c.csv b/SurgeData/335-time_c.csv similarity index 100% rename from SurgeData/N=1000/335-time_c.csv rename to SurgeData/335-time_c.csv diff --git a/SurgeData/N=1000/335-time_w.csv b/SurgeData/335-time_w.csv similarity index 100% rename from SurgeData/N=1000/335-time_w.csv rename to SurgeData/335-time_w.csv diff --git a/SurgeData/N=1000/335-waterlevel_c.csv b/SurgeData/335-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/335-waterlevel_c.csv rename to SurgeData/335-waterlevel_c.csv diff --git a/SurgeData/N=1000/335-waterlevel_w.csv b/SurgeData/335-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/335-waterlevel_w.csv rename to SurgeData/335-waterlevel_w.csv diff --git a/SurgeData/336-num_storm.csv b/SurgeData/336-num_storm.csv new file mode 100644 index 00000000..fc4bedd1 --- /dev/null +++ b/SurgeData/336-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,2.0,3.0 +2022,2.0,5.0 +2023,0.0,5.0 +2024,1.0,7.0 +2025,2.0,2.0 +2026,0.0,3.0 +2027,1.0,4.0 +2028,1.0,2.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,8.0,4.0 +2032,0.0,4.0 +2033,2.0,6.0 +2034,1.0,3.0 +2035,2.0,4.0 +2036,0.0,6.0 +2037,0.0,3.0 +2038,2.0,3.0 +2039,2.0,3.0 +2040,2.0,8.0 +2041,3.0,6.0 +2042,0.0,3.0 +2043,0.0,8.0 +2044,2.0,5.0 +2045,1.0,1.0 +2046,1.0,5.0 +2047,1.0,7.0 +2048,3.0,7.0 +2049,2.0,7.0 +2050,0.0,3.0 +2051,0.0,5.0 +2052,0.0,4.0 +2053,1.0,4.0 +2054,1.0,1.0 +2055,1.0,3.0 +2056,2.0,6.0 +2057,4.0,3.0 +2058,0.0,6.0 +2059,1.0,3.0 +2060,3.0,2.0 +2061,4.0,3.0 +2062,1.0,7.0 +2063,2.0,5.0 +2064,2.0,3.0 +2065,1.0,3.0 +2066,1.0,6.0 +2067,1.0,5.0 +2068,1.0,5.0 +2069,1.0,2.0 +2070,0.0,4.0 +2071,2.0,11.0 +2072,2.0,6.0 +2073,1.0,5.0 +2074,1.0,2.0 +2075,3.0,4.0 +2076,3.0,4.0 +2077,1.0,3.0 +2078,1.0,2.0 +2079,1.0,6.0 +2080,4.0,5.0 +2081,1.0,4.0 +2082,4.0,2.0 +2083,2.0,3.0 +2084,0.0,5.0 +2085,0.0,9.0 +2086,2.0,1.0 +2087,0.0,2.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,4.0,2.0 +2091,2.0,2.0 +2092,1.0,6.0 +2093,5.0,6.0 +2094,0.0,0.0 +2095,4.0,8.0 +2096,1.0,3.0 +2097,1.0,6.0 +2098,3.0,2.0 +2099,1.0,7.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/336-peak+year_c.csv b/SurgeData/336-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/336-peak+year_c.csv rename to SurgeData/336-peak+year_c.csv diff --git a/SurgeData/N=1000/336-peak+year_w.csv b/SurgeData/336-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/336-peak+year_w.csv rename to SurgeData/336-peak+year_w.csv diff --git a/SurgeData/N=1000/336-peak_c.csv b/SurgeData/336-peak_c.csv similarity index 100% rename from SurgeData/N=1000/336-peak_c.csv rename to SurgeData/336-peak_c.csv diff --git a/SurgeData/N=1000/336-peak_w.csv b/SurgeData/336-peak_w.csv similarity index 100% rename from SurgeData/N=1000/336-peak_w.csv rename to SurgeData/336-peak_w.csv diff --git a/SurgeData/N=1000/336-surge_c.csv b/SurgeData/336-surge_c.csv similarity index 100% rename from SurgeData/N=1000/336-surge_c.csv rename to SurgeData/336-surge_c.csv diff --git a/SurgeData/N=1000/336-surge_w.csv b/SurgeData/336-surge_w.csv similarity index 100% rename from SurgeData/N=1000/336-surge_w.csv rename to SurgeData/336-surge_w.csv diff --git a/SurgeData/N=1000/336-time_c.csv b/SurgeData/336-time_c.csv similarity index 100% rename from SurgeData/N=1000/336-time_c.csv rename to SurgeData/336-time_c.csv diff --git a/SurgeData/N=1000/336-time_w.csv b/SurgeData/336-time_w.csv similarity index 100% rename from SurgeData/N=1000/336-time_w.csv rename to SurgeData/336-time_w.csv diff --git a/SurgeData/N=1000/336-waterlevel_c.csv b/SurgeData/336-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/336-waterlevel_c.csv rename to SurgeData/336-waterlevel_c.csv diff --git a/SurgeData/N=1000/336-waterlevel_w.csv b/SurgeData/336-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/336-waterlevel_w.csv rename to SurgeData/336-waterlevel_w.csv diff --git a/SurgeData/N=1000/337-peak+year_c.csv b/SurgeData/337-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/337-peak+year_c.csv rename to SurgeData/337-peak+year_c.csv diff --git a/SurgeData/N=1000/337-peak+year_w.csv b/SurgeData/337-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/337-peak+year_w.csv rename to SurgeData/337-peak+year_w.csv diff --git a/SurgeData/N=1000/337-peak_c.csv b/SurgeData/337-peak_c.csv similarity index 100% rename from SurgeData/N=1000/337-peak_c.csv rename to SurgeData/337-peak_c.csv diff --git a/SurgeData/N=1000/337-peak_w.csv b/SurgeData/337-peak_w.csv similarity index 100% rename from SurgeData/N=1000/337-peak_w.csv rename to SurgeData/337-peak_w.csv diff --git a/SurgeData/N=1000/337-surge_c.csv b/SurgeData/337-surge_c.csv similarity index 100% rename from SurgeData/N=1000/337-surge_c.csv rename to SurgeData/337-surge_c.csv diff --git a/SurgeData/N=1000/337-surge_w.csv b/SurgeData/337-surge_w.csv similarity index 100% rename from SurgeData/N=1000/337-surge_w.csv rename to SurgeData/337-surge_w.csv diff --git a/SurgeData/N=1000/337-time_c.csv b/SurgeData/337-time_c.csv similarity index 100% rename from SurgeData/N=1000/337-time_c.csv rename to SurgeData/337-time_c.csv diff --git a/SurgeData/N=1000/337-time_w.csv b/SurgeData/337-time_w.csv similarity index 100% rename from SurgeData/N=1000/337-time_w.csv rename to SurgeData/337-time_w.csv diff --git a/SurgeData/N=1000/337-waterlevel_c.csv b/SurgeData/337-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/337-waterlevel_c.csv rename to SurgeData/337-waterlevel_c.csv diff --git a/SurgeData/N=1000/337-waterlevel_w.csv b/SurgeData/337-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/337-waterlevel_w.csv rename to SurgeData/337-waterlevel_w.csv diff --git a/SurgeData/338-num_storm.csv b/SurgeData/338-num_storm.csv new file mode 100644 index 00000000..470e0b52 --- /dev/null +++ b/SurgeData/338-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,4.0 +2022,1.0,2.0 +2023,0.0,5.0 +2024,0.0,6.0 +2025,2.0,7.0 +2026,2.0,3.0 +2027,3.0,1.0 +2028,0.0,4.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,3.0,8.0 +2032,4.0,5.0 +2033,1.0,1.0 +2034,2.0,4.0 +2035,2.0,5.0 +2036,3.0,5.0 +2037,3.0,3.0 +2038,2.0,6.0 +2039,2.0,4.0 +2040,1.0,3.0 +2041,1.0,1.0 +2042,0.0,2.0 +2043,5.0,3.0 +2044,1.0,4.0 +2045,3.0,4.0 +2046,4.0,4.0 +2047,3.0,3.0 +2048,2.0,2.0 +2049,2.0,2.0 +2050,2.0,1.0 +2051,2.0,7.0 +2052,1.0,5.0 +2053,1.0,7.0 +2054,3.0,3.0 +2055,3.0,5.0 +2056,1.0,3.0 +2057,0.0,3.0 +2058,1.0,3.0 +2059,3.0,3.0 +2060,3.0,3.0 +2061,0.0,5.0 +2062,2.0,4.0 +2063,1.0,3.0 +2064,1.0,3.0 +2065,3.0,6.0 +2066,2.0,6.0 +2067,2.0,5.0 +2068,2.0,4.0 +2069,1.0,3.0 +2070,6.0,6.0 +2071,2.0,5.0 +2072,2.0,2.0 +2073,1.0,10.0 +2074,1.0,2.0 +2075,2.0,3.0 +2076,2.0,2.0 +2077,1.0,3.0 +2078,2.0,7.0 +2079,3.0,9.0 +2080,1.0,4.0 +2081,1.0,6.0 +2082,0.0,2.0 +2083,2.0,1.0 +2084,0.0,3.0 +2085,0.0,2.0 +2086,0.0,3.0 +2087,1.0,3.0 +2088,5.0,5.0 +2089,1.0,0.0 +2090,1.0,4.0 +2091,0.0,4.0 +2092,2.0,9.0 +2093,1.0,6.0 +2094,2.0,6.0 +2095,1.0,7.0 +2096,0.0,7.0 +2097,1.0,2.0 +2098,0.0,3.0 +2099,3.0,5.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/338-peak+year_c.csv b/SurgeData/338-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/338-peak+year_c.csv rename to SurgeData/338-peak+year_c.csv diff --git a/SurgeData/N=1000/338-peak+year_w.csv b/SurgeData/338-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/338-peak+year_w.csv rename to SurgeData/338-peak+year_w.csv diff --git a/SurgeData/N=1000/338-peak_c.csv b/SurgeData/338-peak_c.csv similarity index 100% rename from SurgeData/N=1000/338-peak_c.csv rename to SurgeData/338-peak_c.csv diff --git a/SurgeData/N=1000/338-peak_w.csv b/SurgeData/338-peak_w.csv similarity index 100% rename from SurgeData/N=1000/338-peak_w.csv rename to SurgeData/338-peak_w.csv diff --git a/SurgeData/N=1000/338-surge_c.csv b/SurgeData/338-surge_c.csv similarity index 100% rename from SurgeData/N=1000/338-surge_c.csv rename to SurgeData/338-surge_c.csv diff --git a/SurgeData/N=1000/338-surge_w.csv b/SurgeData/338-surge_w.csv similarity index 100% rename from SurgeData/N=1000/338-surge_w.csv rename to SurgeData/338-surge_w.csv diff --git a/SurgeData/N=1000/338-time_c.csv b/SurgeData/338-time_c.csv similarity index 100% rename from SurgeData/N=1000/338-time_c.csv rename to SurgeData/338-time_c.csv diff --git a/SurgeData/N=1000/338-time_w.csv b/SurgeData/338-time_w.csv similarity index 100% rename from SurgeData/N=1000/338-time_w.csv rename to SurgeData/338-time_w.csv diff --git a/SurgeData/N=1000/338-waterlevel_c.csv b/SurgeData/338-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/338-waterlevel_c.csv rename to SurgeData/338-waterlevel_c.csv diff --git a/SurgeData/N=1000/338-waterlevel_w.csv b/SurgeData/338-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/338-waterlevel_w.csv rename to SurgeData/338-waterlevel_w.csv diff --git a/SurgeData/N=1000/339-peak+year_c.csv b/SurgeData/339-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/339-peak+year_c.csv rename to SurgeData/339-peak+year_c.csv diff --git a/SurgeData/N=1000/339-peak+year_w.csv b/SurgeData/339-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/339-peak+year_w.csv rename to SurgeData/339-peak+year_w.csv diff --git a/SurgeData/N=1000/339-peak_c.csv b/SurgeData/339-peak_c.csv similarity index 100% rename from SurgeData/N=1000/339-peak_c.csv rename to SurgeData/339-peak_c.csv diff --git a/SurgeData/N=1000/339-peak_w.csv b/SurgeData/339-peak_w.csv similarity index 100% rename from SurgeData/N=1000/339-peak_w.csv rename to SurgeData/339-peak_w.csv diff --git a/SurgeData/N=1000/339-surge_c.csv b/SurgeData/339-surge_c.csv similarity index 100% rename from SurgeData/N=1000/339-surge_c.csv rename to SurgeData/339-surge_c.csv diff --git a/SurgeData/N=1000/339-surge_w.csv b/SurgeData/339-surge_w.csv similarity index 100% rename from SurgeData/N=1000/339-surge_w.csv rename to SurgeData/339-surge_w.csv diff --git a/SurgeData/N=1000/339-time_c.csv b/SurgeData/339-time_c.csv similarity index 100% rename from SurgeData/N=1000/339-time_c.csv rename to SurgeData/339-time_c.csv diff --git a/SurgeData/N=1000/339-time_w.csv b/SurgeData/339-time_w.csv similarity index 100% rename from SurgeData/N=1000/339-time_w.csv rename to SurgeData/339-time_w.csv diff --git a/SurgeData/N=1000/339-waterlevel_c.csv b/SurgeData/339-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/339-waterlevel_c.csv rename to SurgeData/339-waterlevel_c.csv diff --git a/SurgeData/N=1000/339-waterlevel_w.csv b/SurgeData/339-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/339-waterlevel_w.csv rename to SurgeData/339-waterlevel_w.csv diff --git a/SurgeData/N=1000/34-peak+year_c.csv b/SurgeData/34-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/34-peak+year_c.csv rename to SurgeData/34-peak+year_c.csv diff --git a/SurgeData/N=1000/34-peak+year_w.csv b/SurgeData/34-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/34-peak+year_w.csv rename to SurgeData/34-peak+year_w.csv diff --git a/SurgeData/N=1000/34-peak_c.csv b/SurgeData/34-peak_c.csv similarity index 100% rename from SurgeData/N=1000/34-peak_c.csv rename to SurgeData/34-peak_c.csv diff --git a/SurgeData/N=1000/34-peak_w.csv b/SurgeData/34-peak_w.csv similarity index 100% rename from SurgeData/N=1000/34-peak_w.csv rename to SurgeData/34-peak_w.csv diff --git a/SurgeData/N=1000/34-surge_c.csv b/SurgeData/34-surge_c.csv similarity index 100% rename from SurgeData/N=1000/34-surge_c.csv rename to SurgeData/34-surge_c.csv diff --git a/SurgeData/N=1000/34-surge_w.csv b/SurgeData/34-surge_w.csv similarity index 100% rename from SurgeData/N=1000/34-surge_w.csv rename to SurgeData/34-surge_w.csv diff --git a/SurgeData/N=1000/34-time_c.csv b/SurgeData/34-time_c.csv similarity index 100% rename from SurgeData/N=1000/34-time_c.csv rename to SurgeData/34-time_c.csv diff --git a/SurgeData/N=1000/34-time_w.csv b/SurgeData/34-time_w.csv similarity index 100% rename from SurgeData/N=1000/34-time_w.csv rename to SurgeData/34-time_w.csv diff --git a/SurgeData/N=1000/34-waterlevel_c.csv b/SurgeData/34-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/34-waterlevel_c.csv rename to SurgeData/34-waterlevel_c.csv diff --git a/SurgeData/N=1000/34-waterlevel_w.csv b/SurgeData/34-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/34-waterlevel_w.csv rename to SurgeData/34-waterlevel_w.csv diff --git a/SurgeData/340-num_storm.csv b/SurgeData/340-num_storm.csv new file mode 100644 index 00000000..df73b219 --- /dev/null +++ b/SurgeData/340-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,1.0 +2022,0.0,2.0 +2023,2.0,6.0 +2024,2.0,6.0 +2025,2.0,5.0 +2026,2.0,2.0 +2027,3.0,3.0 +2028,1.0,2.0 +2029,2.0,4.0 +2030,2.0,4.0 +2031,2.0,5.0 +2032,0.0,6.0 +2033,0.0,3.0 +2034,0.0,2.0 +2035,1.0,4.0 +2036,0.0,3.0 +2037,0.0,3.0 +2038,2.0,4.0 +2039,0.0,2.0 +2040,2.0,5.0 +2041,1.0,5.0 +2042,2.0,7.0 +2043,1.0,7.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,0.0,3.0 +2047,1.0,6.0 +2048,1.0,7.0 +2049,2.0,2.0 +2050,0.0,7.0 +2051,1.0,4.0 +2052,2.0,5.0 +2053,3.0,1.0 +2054,0.0,3.0 +2055,0.0,3.0 +2056,0.0,3.0 +2057,3.0,3.0 +2058,4.0,4.0 +2059,0.0,3.0 +2060,1.0,1.0 +2061,4.0,6.0 +2062,3.0,3.0 +2063,1.0,4.0 +2064,2.0,3.0 +2065,0.0,2.0 +2066,1.0,6.0 +2067,1.0,8.0 +2068,1.0,1.0 +2069,0.0,3.0 +2070,5.0,4.0 +2071,3.0,2.0 +2072,2.0,4.0 +2073,1.0,4.0 +2074,1.0,2.0 +2075,2.0,1.0 +2076,2.0,1.0 +2077,0.0,3.0 +2078,1.0,2.0 +2079,3.0,5.0 +2080,2.0,5.0 +2081,2.0,5.0 +2082,1.0,3.0 +2083,1.0,3.0 +2084,2.0,0.0 +2085,2.0,5.0 +2086,2.0,4.0 +2087,1.0,5.0 +2088,2.0,2.0 +2089,2.0,1.0 +2090,5.0,5.0 +2091,1.0,3.0 +2092,1.0,6.0 +2093,4.0,1.0 +2094,0.0,3.0 +2095,0.0,5.0 +2096,4.0,1.0 +2097,1.0,5.0 +2098,0.0,4.0 +2099,2.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/340-peak+year_c.csv b/SurgeData/340-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/340-peak+year_c.csv rename to SurgeData/340-peak+year_c.csv diff --git a/SurgeData/N=1000/340-peak+year_w.csv b/SurgeData/340-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/340-peak+year_w.csv rename to SurgeData/340-peak+year_w.csv diff --git a/SurgeData/N=1000/340-peak_c.csv b/SurgeData/340-peak_c.csv similarity index 100% rename from SurgeData/N=1000/340-peak_c.csv rename to SurgeData/340-peak_c.csv diff --git a/SurgeData/N=1000/340-peak_w.csv b/SurgeData/340-peak_w.csv similarity index 100% rename from SurgeData/N=1000/340-peak_w.csv rename to SurgeData/340-peak_w.csv diff --git a/SurgeData/N=1000/340-surge_c.csv b/SurgeData/340-surge_c.csv similarity index 100% rename from SurgeData/N=1000/340-surge_c.csv rename to SurgeData/340-surge_c.csv diff --git a/SurgeData/N=1000/340-surge_w.csv b/SurgeData/340-surge_w.csv similarity index 100% rename from SurgeData/N=1000/340-surge_w.csv rename to SurgeData/340-surge_w.csv diff --git a/SurgeData/N=1000/340-time_c.csv b/SurgeData/340-time_c.csv similarity index 100% rename from SurgeData/N=1000/340-time_c.csv rename to SurgeData/340-time_c.csv diff --git a/SurgeData/N=1000/340-time_w.csv b/SurgeData/340-time_w.csv similarity index 100% rename from SurgeData/N=1000/340-time_w.csv rename to SurgeData/340-time_w.csv diff --git a/SurgeData/N=1000/340-waterlevel_c.csv b/SurgeData/340-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/340-waterlevel_c.csv rename to SurgeData/340-waterlevel_c.csv diff --git a/SurgeData/N=1000/340-waterlevel_w.csv b/SurgeData/340-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/340-waterlevel_w.csv rename to SurgeData/340-waterlevel_w.csv diff --git a/SurgeData/341-num_storm.csv b/SurgeData/341-num_storm.csv new file mode 100644 index 00000000..acd7961a --- /dev/null +++ b/SurgeData/341-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,5.0,3.0 +2022,1.0,3.0 +2023,1.0,6.0 +2024,0.0,7.0 +2025,1.0,6.0 +2026,2.0,4.0 +2027,1.0,5.0 +2028,2.0,5.0 +2029,2.0,3.0 +2030,2.0,1.0 +2031,1.0,3.0 +2032,0.0,2.0 +2033,1.0,5.0 +2034,0.0,2.0 +2035,1.0,5.0 +2036,1.0,4.0 +2037,1.0,0.0 +2038,1.0,2.0 +2039,4.0,6.0 +2040,3.0,4.0 +2041,1.0,5.0 +2042,0.0,4.0 +2043,2.0,5.0 +2044,2.0,6.0 +2045,2.0,4.0 +2046,5.0,6.0 +2047,1.0,4.0 +2048,2.0,2.0 +2049,4.0,6.0 +2050,2.0,4.0 +2051,1.0,8.0 +2052,5.0,7.0 +2053,4.0,4.0 +2054,1.0,2.0 +2055,0.0,6.0 +2056,1.0,2.0 +2057,1.0,2.0 +2058,0.0,2.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,1.0,4.0 +2062,5.0,4.0 +2063,2.0,5.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,4.0,5.0 +2067,3.0,1.0 +2068,0.0,7.0 +2069,3.0,4.0 +2070,3.0,4.0 +2071,0.0,3.0 +2072,2.0,6.0 +2073,2.0,1.0 +2074,1.0,1.0 +2075,1.0,1.0 +2076,0.0,4.0 +2077,0.0,2.0 +2078,0.0,4.0 +2079,1.0,2.0 +2080,1.0,1.0 +2081,1.0,5.0 +2082,1.0,2.0 +2083,0.0,4.0 +2084,1.0,7.0 +2085,1.0,3.0 +2086,2.0,2.0 +2087,0.0,3.0 +2088,1.0,4.0 +2089,2.0,2.0 +2090,1.0,3.0 +2091,1.0,6.0 +2092,1.0,4.0 +2093,1.0,4.0 +2094,0.0,5.0 +2095,2.0,4.0 +2096,0.0,5.0 +2097,3.0,4.0 +2098,1.0,4.0 +2099,2.0,3.0 +2100,5.0,2.0 diff --git a/SurgeData/N=1000/341-peak+year_c.csv b/SurgeData/341-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/341-peak+year_c.csv rename to SurgeData/341-peak+year_c.csv diff --git a/SurgeData/N=1000/341-peak+year_w.csv b/SurgeData/341-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/341-peak+year_w.csv rename to SurgeData/341-peak+year_w.csv diff --git a/SurgeData/N=1000/341-peak_c.csv b/SurgeData/341-peak_c.csv similarity index 100% rename from SurgeData/N=1000/341-peak_c.csv rename to SurgeData/341-peak_c.csv diff --git a/SurgeData/N=1000/341-peak_w.csv b/SurgeData/341-peak_w.csv similarity index 100% rename from SurgeData/N=1000/341-peak_w.csv rename to SurgeData/341-peak_w.csv diff --git a/SurgeData/N=1000/341-surge_c.csv b/SurgeData/341-surge_c.csv similarity index 100% rename from SurgeData/N=1000/341-surge_c.csv rename to SurgeData/341-surge_c.csv diff --git a/SurgeData/N=1000/341-surge_w.csv b/SurgeData/341-surge_w.csv similarity index 100% rename from SurgeData/N=1000/341-surge_w.csv rename to SurgeData/341-surge_w.csv diff --git a/SurgeData/N=1000/341-time_c.csv b/SurgeData/341-time_c.csv similarity index 100% rename from SurgeData/N=1000/341-time_c.csv rename to SurgeData/341-time_c.csv diff --git a/SurgeData/N=1000/341-time_w.csv b/SurgeData/341-time_w.csv similarity index 100% rename from SurgeData/N=1000/341-time_w.csv rename to SurgeData/341-time_w.csv diff --git a/SurgeData/N=1000/341-waterlevel_c.csv b/SurgeData/341-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/341-waterlevel_c.csv rename to SurgeData/341-waterlevel_c.csv diff --git a/SurgeData/N=1000/341-waterlevel_w.csv b/SurgeData/341-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/341-waterlevel_w.csv rename to SurgeData/341-waterlevel_w.csv diff --git a/SurgeData/342-num_storm.csv b/SurgeData/342-num_storm.csv new file mode 100644 index 00000000..825878a3 --- /dev/null +++ b/SurgeData/342-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,3.0 +2022,7.0,7.0 +2023,4.0,2.0 +2024,1.0,3.0 +2025,2.0,4.0 +2026,1.0,7.0 +2027,1.0,7.0 +2028,4.0,5.0 +2029,6.0,2.0 +2030,3.0,1.0 +2031,1.0,4.0 +2032,2.0,2.0 +2033,0.0,3.0 +2034,4.0,8.0 +2035,3.0,2.0 +2036,1.0,2.0 +2037,0.0,5.0 +2038,0.0,4.0 +2039,2.0,4.0 +2040,0.0,5.0 +2041,2.0,3.0 +2042,1.0,6.0 +2043,0.0,5.0 +2044,2.0,4.0 +2045,1.0,4.0 +2046,5.0,3.0 +2047,0.0,1.0 +2048,0.0,3.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,4.0,5.0 +2052,3.0,2.0 +2053,2.0,2.0 +2054,0.0,3.0 +2055,5.0,3.0 +2056,1.0,5.0 +2057,2.0,8.0 +2058,2.0,3.0 +2059,1.0,6.0 +2060,1.0,7.0 +2061,1.0,4.0 +2062,3.0,3.0 +2063,3.0,5.0 +2064,1.0,4.0 +2065,4.0,4.0 +2066,1.0,3.0 +2067,1.0,5.0 +2068,1.0,3.0 +2069,3.0,3.0 +2070,1.0,4.0 +2071,0.0,3.0 +2072,2.0,2.0 +2073,3.0,6.0 +2074,5.0,5.0 +2075,2.0,2.0 +2076,2.0,3.0 +2077,1.0,7.0 +2078,2.0,0.0 +2079,3.0,3.0 +2080,4.0,5.0 +2081,2.0,3.0 +2082,1.0,3.0 +2083,1.0,2.0 +2084,1.0,4.0 +2085,2.0,3.0 +2086,2.0,4.0 +2087,2.0,6.0 +2088,1.0,3.0 +2089,0.0,7.0 +2090,2.0,3.0 +2091,1.0,3.0 +2092,1.0,5.0 +2093,1.0,5.0 +2094,3.0,3.0 +2095,1.0,7.0 +2096,0.0,5.0 +2097,2.0,2.0 +2098,1.0,4.0 +2099,0.0,8.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/342-peak+year_c.csv b/SurgeData/342-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/342-peak+year_c.csv rename to SurgeData/342-peak+year_c.csv diff --git a/SurgeData/N=1000/342-peak+year_w.csv b/SurgeData/342-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/342-peak+year_w.csv rename to SurgeData/342-peak+year_w.csv diff --git a/SurgeData/N=1000/342-peak_c.csv b/SurgeData/342-peak_c.csv similarity index 100% rename from SurgeData/N=1000/342-peak_c.csv rename to SurgeData/342-peak_c.csv diff --git a/SurgeData/N=1000/342-peak_w.csv b/SurgeData/342-peak_w.csv similarity index 100% rename from SurgeData/N=1000/342-peak_w.csv rename to SurgeData/342-peak_w.csv diff --git a/SurgeData/N=1000/342-surge_c.csv b/SurgeData/342-surge_c.csv similarity index 100% rename from SurgeData/N=1000/342-surge_c.csv rename to SurgeData/342-surge_c.csv diff --git a/SurgeData/N=1000/342-surge_w.csv b/SurgeData/342-surge_w.csv similarity index 100% rename from SurgeData/N=1000/342-surge_w.csv rename to SurgeData/342-surge_w.csv diff --git a/SurgeData/N=1000/342-time_c.csv b/SurgeData/342-time_c.csv similarity index 100% rename from SurgeData/N=1000/342-time_c.csv rename to SurgeData/342-time_c.csv diff --git a/SurgeData/N=1000/342-time_w.csv b/SurgeData/342-time_w.csv similarity index 100% rename from SurgeData/N=1000/342-time_w.csv rename to SurgeData/342-time_w.csv diff --git a/SurgeData/N=1000/342-waterlevel_c.csv b/SurgeData/342-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/342-waterlevel_c.csv rename to SurgeData/342-waterlevel_c.csv diff --git a/SurgeData/N=1000/342-waterlevel_w.csv b/SurgeData/342-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/342-waterlevel_w.csv rename to SurgeData/342-waterlevel_w.csv diff --git a/SurgeData/343-num_storm.csv b/SurgeData/343-num_storm.csv new file mode 100644 index 00000000..2185cbc8 --- /dev/null +++ b/SurgeData/343-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,4.0 +2022,2.0,3.0 +2023,0.0,7.0 +2024,0.0,3.0 +2025,1.0,4.0 +2026,2.0,8.0 +2027,3.0,7.0 +2028,3.0,4.0 +2029,2.0,4.0 +2030,3.0,4.0 +2031,2.0,3.0 +2032,3.0,2.0 +2033,0.0,4.0 +2034,2.0,4.0 +2035,0.0,5.0 +2036,1.0,3.0 +2037,2.0,6.0 +2038,0.0,4.0 +2039,2.0,3.0 +2040,0.0,4.0 +2041,4.0,2.0 +2042,1.0,2.0 +2043,3.0,3.0 +2044,1.0,5.0 +2045,3.0,2.0 +2046,0.0,5.0 +2047,2.0,7.0 +2048,1.0,3.0 +2049,3.0,0.0 +2050,2.0,4.0 +2051,4.0,4.0 +2052,2.0,5.0 +2053,1.0,4.0 +2054,0.0,1.0 +2055,1.0,4.0 +2056,1.0,7.0 +2057,1.0,4.0 +2058,2.0,2.0 +2059,3.0,3.0 +2060,1.0,4.0 +2061,1.0,3.0 +2062,2.0,8.0 +2063,2.0,1.0 +2064,0.0,4.0 +2065,1.0,2.0 +2066,3.0,4.0 +2067,2.0,5.0 +2068,0.0,2.0 +2069,2.0,5.0 +2070,2.0,2.0 +2071,4.0,4.0 +2072,1.0,5.0 +2073,0.0,3.0 +2074,0.0,5.0 +2075,8.0,4.0 +2076,2.0,6.0 +2077,1.0,5.0 +2078,3.0,3.0 +2079,1.0,3.0 +2080,3.0,6.0 +2081,2.0,3.0 +2082,3.0,0.0 +2083,0.0,3.0 +2084,3.0,6.0 +2085,1.0,2.0 +2086,2.0,5.0 +2087,1.0,8.0 +2088,2.0,3.0 +2089,2.0,4.0 +2090,0.0,5.0 +2091,2.0,7.0 +2092,0.0,6.0 +2093,1.0,4.0 +2094,3.0,8.0 +2095,1.0,5.0 +2096,1.0,2.0 +2097,0.0,1.0 +2098,1.0,3.0 +2099,2.0,1.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/343-peak+year_c.csv b/SurgeData/343-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/343-peak+year_c.csv rename to SurgeData/343-peak+year_c.csv diff --git a/SurgeData/N=1000/343-peak+year_w.csv b/SurgeData/343-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/343-peak+year_w.csv rename to SurgeData/343-peak+year_w.csv diff --git a/SurgeData/N=1000/343-peak_c.csv b/SurgeData/343-peak_c.csv similarity index 100% rename from SurgeData/N=1000/343-peak_c.csv rename to SurgeData/343-peak_c.csv diff --git a/SurgeData/N=1000/343-peak_w.csv b/SurgeData/343-peak_w.csv similarity index 100% rename from SurgeData/N=1000/343-peak_w.csv rename to SurgeData/343-peak_w.csv diff --git a/SurgeData/N=1000/343-surge_c.csv b/SurgeData/343-surge_c.csv similarity index 100% rename from SurgeData/N=1000/343-surge_c.csv rename to SurgeData/343-surge_c.csv diff --git a/SurgeData/N=1000/343-surge_w.csv b/SurgeData/343-surge_w.csv similarity index 100% rename from SurgeData/N=1000/343-surge_w.csv rename to SurgeData/343-surge_w.csv diff --git a/SurgeData/N=1000/343-time_c.csv b/SurgeData/343-time_c.csv similarity index 100% rename from SurgeData/N=1000/343-time_c.csv rename to SurgeData/343-time_c.csv diff --git a/SurgeData/N=1000/343-time_w.csv b/SurgeData/343-time_w.csv similarity index 100% rename from SurgeData/N=1000/343-time_w.csv rename to SurgeData/343-time_w.csv diff --git a/SurgeData/N=1000/343-waterlevel_c.csv b/SurgeData/343-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/343-waterlevel_c.csv rename to SurgeData/343-waterlevel_c.csv diff --git a/SurgeData/N=1000/343-waterlevel_w.csv b/SurgeData/343-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/343-waterlevel_w.csv rename to SurgeData/343-waterlevel_w.csv diff --git a/SurgeData/N=1000/344-peak+year_c.csv b/SurgeData/344-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/344-peak+year_c.csv rename to SurgeData/344-peak+year_c.csv diff --git a/SurgeData/N=1000/344-peak+year_w.csv b/SurgeData/344-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/344-peak+year_w.csv rename to SurgeData/344-peak+year_w.csv diff --git a/SurgeData/N=1000/344-peak_c.csv b/SurgeData/344-peak_c.csv similarity index 100% rename from SurgeData/N=1000/344-peak_c.csv rename to SurgeData/344-peak_c.csv diff --git a/SurgeData/N=1000/344-peak_w.csv b/SurgeData/344-peak_w.csv similarity index 100% rename from SurgeData/N=1000/344-peak_w.csv rename to SurgeData/344-peak_w.csv diff --git a/SurgeData/N=1000/344-surge_c.csv b/SurgeData/344-surge_c.csv similarity index 100% rename from SurgeData/N=1000/344-surge_c.csv rename to SurgeData/344-surge_c.csv diff --git a/SurgeData/N=1000/344-surge_w.csv b/SurgeData/344-surge_w.csv similarity index 100% rename from SurgeData/N=1000/344-surge_w.csv rename to SurgeData/344-surge_w.csv diff --git a/SurgeData/N=1000/344-time_c.csv b/SurgeData/344-time_c.csv similarity index 100% rename from SurgeData/N=1000/344-time_c.csv rename to SurgeData/344-time_c.csv diff --git a/SurgeData/N=1000/344-time_w.csv b/SurgeData/344-time_w.csv similarity index 100% rename from SurgeData/N=1000/344-time_w.csv rename to SurgeData/344-time_w.csv diff --git a/SurgeData/N=1000/344-waterlevel_c.csv b/SurgeData/344-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/344-waterlevel_c.csv rename to SurgeData/344-waterlevel_c.csv diff --git a/SurgeData/N=1000/344-waterlevel_w.csv b/SurgeData/344-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/344-waterlevel_w.csv rename to SurgeData/344-waterlevel_w.csv diff --git a/SurgeData/N=1000/345-peak+year_c.csv b/SurgeData/345-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/345-peak+year_c.csv rename to SurgeData/345-peak+year_c.csv diff --git a/SurgeData/N=1000/345-peak+year_w.csv b/SurgeData/345-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/345-peak+year_w.csv rename to SurgeData/345-peak+year_w.csv diff --git a/SurgeData/N=1000/345-peak_c.csv b/SurgeData/345-peak_c.csv similarity index 100% rename from SurgeData/N=1000/345-peak_c.csv rename to SurgeData/345-peak_c.csv diff --git a/SurgeData/N=1000/345-peak_w.csv b/SurgeData/345-peak_w.csv similarity index 100% rename from SurgeData/N=1000/345-peak_w.csv rename to SurgeData/345-peak_w.csv diff --git a/SurgeData/N=1000/345-surge_c.csv b/SurgeData/345-surge_c.csv similarity index 100% rename from SurgeData/N=1000/345-surge_c.csv rename to SurgeData/345-surge_c.csv diff --git a/SurgeData/N=1000/345-surge_w.csv b/SurgeData/345-surge_w.csv similarity index 100% rename from SurgeData/N=1000/345-surge_w.csv rename to SurgeData/345-surge_w.csv diff --git a/SurgeData/N=1000/345-time_c.csv b/SurgeData/345-time_c.csv similarity index 100% rename from SurgeData/N=1000/345-time_c.csv rename to SurgeData/345-time_c.csv diff --git a/SurgeData/N=1000/345-time_w.csv b/SurgeData/345-time_w.csv similarity index 100% rename from SurgeData/N=1000/345-time_w.csv rename to SurgeData/345-time_w.csv diff --git a/SurgeData/N=1000/345-waterlevel_c.csv b/SurgeData/345-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/345-waterlevel_c.csv rename to SurgeData/345-waterlevel_c.csv diff --git a/SurgeData/N=1000/345-waterlevel_w.csv b/SurgeData/345-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/345-waterlevel_w.csv rename to SurgeData/345-waterlevel_w.csv diff --git a/SurgeData/346-num_storm.csv b/SurgeData/346-num_storm.csv new file mode 100644 index 00000000..818c8e1f --- /dev/null +++ b/SurgeData/346-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,1.0,1.0 +2022,2.0,2.0 +2023,1.0,4.0 +2024,1.0,5.0 +2025,0.0,8.0 +2026,1.0,3.0 +2027,3.0,3.0 +2028,4.0,4.0 +2029,3.0,3.0 +2030,3.0,7.0 +2031,4.0,3.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,1.0,4.0 +2035,0.0,2.0 +2036,2.0,4.0 +2037,1.0,1.0 +2038,0.0,2.0 +2039,0.0,5.0 +2040,1.0,6.0 +2041,3.0,6.0 +2042,0.0,8.0 +2043,3.0,4.0 +2044,2.0,2.0 +2045,2.0,2.0 +2046,0.0,3.0 +2047,3.0,2.0 +2048,2.0,5.0 +2049,1.0,4.0 +2050,2.0,3.0 +2051,0.0,6.0 +2052,1.0,1.0 +2053,3.0,4.0 +2054,2.0,2.0 +2055,2.0,8.0 +2056,1.0,4.0 +2057,1.0,5.0 +2058,1.0,5.0 +2059,0.0,2.0 +2060,7.0,5.0 +2061,1.0,2.0 +2062,0.0,2.0 +2063,1.0,2.0 +2064,1.0,10.0 +2065,2.0,3.0 +2066,1.0,2.0 +2067,2.0,0.0 +2068,1.0,2.0 +2069,0.0,3.0 +2070,2.0,6.0 +2071,2.0,6.0 +2072,1.0,7.0 +2073,2.0,2.0 +2074,0.0,0.0 +2075,1.0,4.0 +2076,0.0,5.0 +2077,1.0,8.0 +2078,3.0,5.0 +2079,3.0,2.0 +2080,1.0,2.0 +2081,0.0,5.0 +2082,0.0,1.0 +2083,2.0,5.0 +2084,0.0,4.0 +2085,2.0,3.0 +2086,2.0,5.0 +2087,2.0,5.0 +2088,0.0,7.0 +2089,0.0,1.0 +2090,0.0,5.0 +2091,0.0,6.0 +2092,2.0,3.0 +2093,2.0,6.0 +2094,0.0,7.0 +2095,0.0,3.0 +2096,1.0,5.0 +2097,1.0,5.0 +2098,3.0,5.0 +2099,3.0,2.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/346-peak+year_c.csv b/SurgeData/346-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/346-peak+year_c.csv rename to SurgeData/346-peak+year_c.csv diff --git a/SurgeData/N=1000/346-peak+year_w.csv b/SurgeData/346-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/346-peak+year_w.csv rename to SurgeData/346-peak+year_w.csv diff --git a/SurgeData/N=1000/346-peak_c.csv b/SurgeData/346-peak_c.csv similarity index 100% rename from SurgeData/N=1000/346-peak_c.csv rename to SurgeData/346-peak_c.csv diff --git a/SurgeData/N=1000/346-peak_w.csv b/SurgeData/346-peak_w.csv similarity index 100% rename from SurgeData/N=1000/346-peak_w.csv rename to SurgeData/346-peak_w.csv diff --git a/SurgeData/N=1000/346-surge_c.csv b/SurgeData/346-surge_c.csv similarity index 100% rename from SurgeData/N=1000/346-surge_c.csv rename to SurgeData/346-surge_c.csv diff --git a/SurgeData/N=1000/346-surge_w.csv b/SurgeData/346-surge_w.csv similarity index 100% rename from SurgeData/N=1000/346-surge_w.csv rename to SurgeData/346-surge_w.csv diff --git a/SurgeData/N=1000/346-time_c.csv b/SurgeData/346-time_c.csv similarity index 100% rename from SurgeData/N=1000/346-time_c.csv rename to SurgeData/346-time_c.csv diff --git a/SurgeData/N=1000/346-time_w.csv b/SurgeData/346-time_w.csv similarity index 100% rename from SurgeData/N=1000/346-time_w.csv rename to SurgeData/346-time_w.csv diff --git a/SurgeData/N=1000/346-waterlevel_c.csv b/SurgeData/346-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/346-waterlevel_c.csv rename to SurgeData/346-waterlevel_c.csv diff --git a/SurgeData/N=1000/346-waterlevel_w.csv b/SurgeData/346-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/346-waterlevel_w.csv rename to SurgeData/346-waterlevel_w.csv diff --git a/SurgeData/347-num_storm.csv b/SurgeData/347-num_storm.csv new file mode 100644 index 00000000..9d446b26 --- /dev/null +++ b/SurgeData/347-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,4.0 +2022,2.0,3.0 +2023,0.0,3.0 +2024,1.0,5.0 +2025,3.0,4.0 +2026,0.0,6.0 +2027,0.0,2.0 +2028,1.0,2.0 +2029,5.0,2.0 +2030,2.0,7.0 +2031,1.0,3.0 +2032,1.0,5.0 +2033,1.0,2.0 +2034,1.0,4.0 +2035,3.0,6.0 +2036,1.0,3.0 +2037,2.0,5.0 +2038,2.0,0.0 +2039,1.0,5.0 +2040,3.0,6.0 +2041,0.0,5.0 +2042,1.0,2.0 +2043,0.0,2.0 +2044,1.0,3.0 +2045,2.0,7.0 +2046,0.0,4.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,2.0,5.0 +2050,0.0,2.0 +2051,2.0,3.0 +2052,1.0,1.0 +2053,0.0,4.0 +2054,2.0,2.0 +2055,1.0,4.0 +2056,0.0,4.0 +2057,1.0,6.0 +2058,2.0,10.0 +2059,0.0,4.0 +2060,1.0,4.0 +2061,1.0,2.0 +2062,0.0,2.0 +2063,1.0,10.0 +2064,3.0,3.0 +2065,1.0,6.0 +2066,4.0,2.0 +2067,0.0,0.0 +2068,0.0,3.0 +2069,3.0,3.0 +2070,0.0,8.0 +2071,2.0,5.0 +2072,2.0,5.0 +2073,1.0,6.0 +2074,2.0,3.0 +2075,1.0,4.0 +2076,2.0,5.0 +2077,2.0,6.0 +2078,0.0,2.0 +2079,2.0,5.0 +2080,1.0,4.0 +2081,2.0,3.0 +2082,1.0,0.0 +2083,3.0,2.0 +2084,0.0,5.0 +2085,3.0,6.0 +2086,2.0,4.0 +2087,2.0,3.0 +2088,2.0,4.0 +2089,1.0,3.0 +2090,1.0,5.0 +2091,0.0,5.0 +2092,3.0,6.0 +2093,0.0,6.0 +2094,4.0,2.0 +2095,1.0,3.0 +2096,1.0,2.0 +2097,2.0,5.0 +2098,1.0,3.0 +2099,0.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/347-peak+year_c.csv b/SurgeData/347-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/347-peak+year_c.csv rename to SurgeData/347-peak+year_c.csv diff --git a/SurgeData/N=1000/347-peak+year_w.csv b/SurgeData/347-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/347-peak+year_w.csv rename to SurgeData/347-peak+year_w.csv diff --git a/SurgeData/N=1000/347-peak_c.csv b/SurgeData/347-peak_c.csv similarity index 100% rename from SurgeData/N=1000/347-peak_c.csv rename to SurgeData/347-peak_c.csv diff --git a/SurgeData/N=1000/347-peak_w.csv b/SurgeData/347-peak_w.csv similarity index 100% rename from SurgeData/N=1000/347-peak_w.csv rename to SurgeData/347-peak_w.csv diff --git a/SurgeData/N=1000/347-surge_c.csv b/SurgeData/347-surge_c.csv similarity index 100% rename from SurgeData/N=1000/347-surge_c.csv rename to SurgeData/347-surge_c.csv diff --git a/SurgeData/N=1000/347-surge_w.csv b/SurgeData/347-surge_w.csv similarity index 100% rename from SurgeData/N=1000/347-surge_w.csv rename to SurgeData/347-surge_w.csv diff --git a/SurgeData/N=1000/347-time_c.csv b/SurgeData/347-time_c.csv similarity index 100% rename from SurgeData/N=1000/347-time_c.csv rename to SurgeData/347-time_c.csv diff --git a/SurgeData/N=1000/347-time_w.csv b/SurgeData/347-time_w.csv similarity index 100% rename from SurgeData/N=1000/347-time_w.csv rename to SurgeData/347-time_w.csv diff --git a/SurgeData/N=1000/347-waterlevel_c.csv b/SurgeData/347-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/347-waterlevel_c.csv rename to SurgeData/347-waterlevel_c.csv diff --git a/SurgeData/N=1000/347-waterlevel_w.csv b/SurgeData/347-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/347-waterlevel_w.csv rename to SurgeData/347-waterlevel_w.csv diff --git a/SurgeData/348-num_storm.csv b/SurgeData/348-num_storm.csv new file mode 100644 index 00000000..28b836dd --- /dev/null +++ b/SurgeData/348-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,5.0 +2022,1.0,3.0 +2023,0.0,5.0 +2024,0.0,4.0 +2025,1.0,4.0 +2026,0.0,9.0 +2027,1.0,6.0 +2028,1.0,3.0 +2029,0.0,5.0 +2030,1.0,2.0 +2031,2.0,3.0 +2032,2.0,4.0 +2033,0.0,6.0 +2034,1.0,8.0 +2035,2.0,11.0 +2036,2.0,6.0 +2037,2.0,6.0 +2038,0.0,2.0 +2039,1.0,6.0 +2040,3.0,4.0 +2041,1.0,5.0 +2042,0.0,6.0 +2043,0.0,5.0 +2044,2.0,4.0 +2045,1.0,6.0 +2046,1.0,4.0 +2047,0.0,4.0 +2048,2.0,4.0 +2049,0.0,2.0 +2050,0.0,2.0 +2051,1.0,5.0 +2052,1.0,4.0 +2053,1.0,8.0 +2054,1.0,1.0 +2055,1.0,2.0 +2056,0.0,5.0 +2057,4.0,2.0 +2058,1.0,2.0 +2059,2.0,4.0 +2060,1.0,1.0 +2061,0.0,3.0 +2062,1.0,5.0 +2063,0.0,5.0 +2064,4.0,5.0 +2065,3.0,2.0 +2066,1.0,6.0 +2067,0.0,3.0 +2068,0.0,3.0 +2069,0.0,2.0 +2070,3.0,2.0 +2071,0.0,5.0 +2072,1.0,6.0 +2073,0.0,3.0 +2074,4.0,6.0 +2075,1.0,4.0 +2076,4.0,7.0 +2077,1.0,6.0 +2078,3.0,4.0 +2079,1.0,4.0 +2080,1.0,4.0 +2081,0.0,5.0 +2082,2.0,9.0 +2083,3.0,7.0 +2084,1.0,5.0 +2085,0.0,4.0 +2086,1.0,4.0 +2087,1.0,6.0 +2088,0.0,5.0 +2089,2.0,5.0 +2090,0.0,4.0 +2091,2.0,5.0 +2092,1.0,3.0 +2093,3.0,1.0 +2094,2.0,5.0 +2095,3.0,3.0 +2096,2.0,4.0 +2097,3.0,4.0 +2098,1.0,4.0 +2099,5.0,3.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/348-peak+year_c.csv b/SurgeData/348-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/348-peak+year_c.csv rename to SurgeData/348-peak+year_c.csv diff --git a/SurgeData/N=1000/348-peak+year_w.csv b/SurgeData/348-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/348-peak+year_w.csv rename to SurgeData/348-peak+year_w.csv diff --git a/SurgeData/N=1000/348-peak_c.csv b/SurgeData/348-peak_c.csv similarity index 100% rename from SurgeData/N=1000/348-peak_c.csv rename to SurgeData/348-peak_c.csv diff --git a/SurgeData/N=1000/348-peak_w.csv b/SurgeData/348-peak_w.csv similarity index 100% rename from SurgeData/N=1000/348-peak_w.csv rename to SurgeData/348-peak_w.csv diff --git a/SurgeData/N=1000/348-surge_c.csv b/SurgeData/348-surge_c.csv similarity index 100% rename from SurgeData/N=1000/348-surge_c.csv rename to SurgeData/348-surge_c.csv diff --git a/SurgeData/N=1000/348-surge_w.csv b/SurgeData/348-surge_w.csv similarity index 100% rename from SurgeData/N=1000/348-surge_w.csv rename to SurgeData/348-surge_w.csv diff --git a/SurgeData/N=1000/348-time_c.csv b/SurgeData/348-time_c.csv similarity index 100% rename from SurgeData/N=1000/348-time_c.csv rename to SurgeData/348-time_c.csv diff --git a/SurgeData/N=1000/348-time_w.csv b/SurgeData/348-time_w.csv similarity index 100% rename from SurgeData/N=1000/348-time_w.csv rename to SurgeData/348-time_w.csv diff --git a/SurgeData/N=1000/348-waterlevel_c.csv b/SurgeData/348-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/348-waterlevel_c.csv rename to SurgeData/348-waterlevel_c.csv diff --git a/SurgeData/N=1000/348-waterlevel_w.csv b/SurgeData/348-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/348-waterlevel_w.csv rename to SurgeData/348-waterlevel_w.csv diff --git a/SurgeData/349-num_storm.csv b/SurgeData/349-num_storm.csv new file mode 100644 index 00000000..5f025a0c --- /dev/null +++ b/SurgeData/349-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,0.0,5.0 +2022,1.0,4.0 +2023,1.0,6.0 +2024,2.0,3.0 +2025,3.0,3.0 +2026,0.0,4.0 +2027,1.0,4.0 +2028,1.0,7.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,3.0,3.0 +2032,3.0,2.0 +2033,1.0,2.0 +2034,1.0,6.0 +2035,1.0,5.0 +2036,1.0,3.0 +2037,2.0,2.0 +2038,1.0,4.0 +2039,1.0,5.0 +2040,0.0,8.0 +2041,0.0,3.0 +2042,2.0,6.0 +2043,0.0,5.0 +2044,1.0,3.0 +2045,2.0,5.0 +2046,3.0,0.0 +2047,2.0,8.0 +2048,2.0,1.0 +2049,1.0,2.0 +2050,3.0,2.0 +2051,0.0,4.0 +2052,2.0,7.0 +2053,3.0,3.0 +2054,1.0,4.0 +2055,2.0,8.0 +2056,0.0,2.0 +2057,1.0,2.0 +2058,0.0,7.0 +2059,1.0,2.0 +2060,1.0,2.0 +2061,2.0,4.0 +2062,1.0,4.0 +2063,3.0,3.0 +2064,0.0,3.0 +2065,3.0,5.0 +2066,4.0,4.0 +2067,3.0,7.0 +2068,1.0,5.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,2.0,1.0 +2072,1.0,7.0 +2073,1.0,9.0 +2074,2.0,4.0 +2075,3.0,7.0 +2076,0.0,1.0 +2077,3.0,5.0 +2078,2.0,3.0 +2079,4.0,4.0 +2080,1.0,5.0 +2081,2.0,8.0 +2082,2.0,4.0 +2083,1.0,5.0 +2084,0.0,8.0 +2085,0.0,4.0 +2086,2.0,3.0 +2087,4.0,3.0 +2088,1.0,4.0 +2089,2.0,7.0 +2090,0.0,1.0 +2091,0.0,6.0 +2092,3.0,4.0 +2093,2.0,2.0 +2094,1.0,1.0 +2095,2.0,2.0 +2096,4.0,2.0 +2097,2.0,3.0 +2098,1.0,6.0 +2099,3.0,2.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/349-peak+year_c.csv b/SurgeData/349-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/349-peak+year_c.csv rename to SurgeData/349-peak+year_c.csv diff --git a/SurgeData/N=1000/349-peak+year_w.csv b/SurgeData/349-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/349-peak+year_w.csv rename to SurgeData/349-peak+year_w.csv diff --git a/SurgeData/N=1000/349-peak_c.csv b/SurgeData/349-peak_c.csv similarity index 100% rename from SurgeData/N=1000/349-peak_c.csv rename to SurgeData/349-peak_c.csv diff --git a/SurgeData/N=1000/349-peak_w.csv b/SurgeData/349-peak_w.csv similarity index 100% rename from SurgeData/N=1000/349-peak_w.csv rename to SurgeData/349-peak_w.csv diff --git a/SurgeData/N=1000/349-surge_c.csv b/SurgeData/349-surge_c.csv similarity index 100% rename from SurgeData/N=1000/349-surge_c.csv rename to SurgeData/349-surge_c.csv diff --git a/SurgeData/N=1000/349-surge_w.csv b/SurgeData/349-surge_w.csv similarity index 100% rename from SurgeData/N=1000/349-surge_w.csv rename to SurgeData/349-surge_w.csv diff --git a/SurgeData/N=1000/349-time_c.csv b/SurgeData/349-time_c.csv similarity index 100% rename from SurgeData/N=1000/349-time_c.csv rename to SurgeData/349-time_c.csv diff --git a/SurgeData/N=1000/349-time_w.csv b/SurgeData/349-time_w.csv similarity index 100% rename from SurgeData/N=1000/349-time_w.csv rename to SurgeData/349-time_w.csv diff --git a/SurgeData/N=1000/349-waterlevel_c.csv b/SurgeData/349-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/349-waterlevel_c.csv rename to SurgeData/349-waterlevel_c.csv diff --git a/SurgeData/N=1000/349-waterlevel_w.csv b/SurgeData/349-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/349-waterlevel_w.csv rename to SurgeData/349-waterlevel_w.csv diff --git a/SurgeData/35-num_storm.csv b/SurgeData/35-num_storm.csv new file mode 100644 index 00000000..75f3ea5f --- /dev/null +++ b/SurgeData/35-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,2.0 +2022,4.0,5.0 +2023,1.0,4.0 +2024,0.0,7.0 +2025,1.0,6.0 +2026,0.0,7.0 +2027,2.0,2.0 +2028,3.0,3.0 +2029,2.0,3.0 +2030,2.0,5.0 +2031,1.0,5.0 +2032,4.0,1.0 +2033,3.0,7.0 +2034,1.0,3.0 +2035,3.0,3.0 +2036,2.0,5.0 +2037,2.0,4.0 +2038,3.0,5.0 +2039,1.0,6.0 +2040,0.0,5.0 +2041,1.0,2.0 +2042,3.0,5.0 +2043,0.0,9.0 +2044,1.0,6.0 +2045,0.0,4.0 +2046,3.0,2.0 +2047,2.0,3.0 +2048,0.0,2.0 +2049,0.0,4.0 +2050,1.0,6.0 +2051,3.0,2.0 +2052,0.0,2.0 +2053,1.0,5.0 +2054,0.0,2.0 +2055,2.0,2.0 +2056,3.0,4.0 +2057,2.0,2.0 +2058,2.0,1.0 +2059,2.0,3.0 +2060,4.0,7.0 +2061,1.0,6.0 +2062,1.0,3.0 +2063,1.0,6.0 +2064,0.0,7.0 +2065,2.0,6.0 +2066,1.0,2.0 +2067,4.0,3.0 +2068,0.0,3.0 +2069,2.0,7.0 +2070,1.0,6.0 +2071,2.0,2.0 +2072,1.0,4.0 +2073,3.0,1.0 +2074,4.0,2.0 +2075,1.0,2.0 +2076,1.0,4.0 +2077,2.0,4.0 +2078,0.0,4.0 +2079,4.0,3.0 +2080,1.0,4.0 +2081,1.0,2.0 +2082,3.0,3.0 +2083,2.0,6.0 +2084,2.0,5.0 +2085,3.0,4.0 +2086,2.0,4.0 +2087,3.0,3.0 +2088,0.0,2.0 +2089,0.0,6.0 +2090,4.0,6.0 +2091,1.0,3.0 +2092,0.0,4.0 +2093,0.0,3.0 +2094,1.0,1.0 +2095,2.0,2.0 +2096,3.0,1.0 +2097,1.0,5.0 +2098,1.0,4.0 +2099,3.0,7.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/35-peak+year_c.csv b/SurgeData/35-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/35-peak+year_c.csv rename to SurgeData/35-peak+year_c.csv diff --git a/SurgeData/N=1000/35-peak+year_w.csv b/SurgeData/35-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/35-peak+year_w.csv rename to SurgeData/35-peak+year_w.csv diff --git a/SurgeData/N=1000/35-peak_c.csv b/SurgeData/35-peak_c.csv similarity index 100% rename from SurgeData/N=1000/35-peak_c.csv rename to SurgeData/35-peak_c.csv diff --git a/SurgeData/N=1000/35-peak_w.csv b/SurgeData/35-peak_w.csv similarity index 100% rename from SurgeData/N=1000/35-peak_w.csv rename to SurgeData/35-peak_w.csv diff --git a/SurgeData/N=1000/35-surge_c.csv b/SurgeData/35-surge_c.csv similarity index 100% rename from SurgeData/N=1000/35-surge_c.csv rename to SurgeData/35-surge_c.csv diff --git a/SurgeData/N=1000/35-surge_w.csv b/SurgeData/35-surge_w.csv similarity index 100% rename from SurgeData/N=1000/35-surge_w.csv rename to SurgeData/35-surge_w.csv diff --git a/SurgeData/N=1000/35-time_c.csv b/SurgeData/35-time_c.csv similarity index 100% rename from SurgeData/N=1000/35-time_c.csv rename to SurgeData/35-time_c.csv diff --git a/SurgeData/N=1000/35-time_w.csv b/SurgeData/35-time_w.csv similarity index 100% rename from SurgeData/N=1000/35-time_w.csv rename to SurgeData/35-time_w.csv diff --git a/SurgeData/N=1000/35-waterlevel_c.csv b/SurgeData/35-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/35-waterlevel_c.csv rename to SurgeData/35-waterlevel_c.csv diff --git a/SurgeData/N=1000/35-waterlevel_w.csv b/SurgeData/35-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/35-waterlevel_w.csv rename to SurgeData/35-waterlevel_w.csv diff --git a/SurgeData/350-num_storm.csv b/SurgeData/350-num_storm.csv new file mode 100644 index 00000000..d445cfae --- /dev/null +++ b/SurgeData/350-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,1.0,2.0 +2022,1.0,5.0 +2023,1.0,2.0 +2024,4.0,3.0 +2025,3.0,2.0 +2026,4.0,3.0 +2027,1.0,4.0 +2028,1.0,2.0 +2029,2.0,1.0 +2030,1.0,5.0 +2031,1.0,3.0 +2032,0.0,1.0 +2033,1.0,3.0 +2034,2.0,6.0 +2035,0.0,6.0 +2036,2.0,2.0 +2037,1.0,6.0 +2038,3.0,3.0 +2039,1.0,5.0 +2040,1.0,2.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,0.0,2.0 +2044,1.0,3.0 +2045,3.0,6.0 +2046,2.0,6.0 +2047,1.0,1.0 +2048,0.0,9.0 +2049,0.0,11.0 +2050,1.0,3.0 +2051,1.0,6.0 +2052,2.0,5.0 +2053,2.0,5.0 +2054,3.0,1.0 +2055,2.0,4.0 +2056,3.0,3.0 +2057,4.0,6.0 +2058,1.0,2.0 +2059,4.0,6.0 +2060,2.0,9.0 +2061,0.0,1.0 +2062,2.0,6.0 +2063,2.0,2.0 +2064,0.0,2.0 +2065,2.0,6.0 +2066,1.0,2.0 +2067,1.0,1.0 +2068,4.0,7.0 +2069,1.0,1.0 +2070,1.0,3.0 +2071,4.0,4.0 +2072,1.0,4.0 +2073,1.0,4.0 +2074,3.0,7.0 +2075,2.0,8.0 +2076,2.0,3.0 +2077,1.0,2.0 +2078,3.0,5.0 +2079,0.0,2.0 +2080,1.0,3.0 +2081,2.0,6.0 +2082,3.0,8.0 +2083,3.0,4.0 +2084,2.0,4.0 +2085,2.0,4.0 +2086,3.0,4.0 +2087,1.0,6.0 +2088,4.0,6.0 +2089,0.0,6.0 +2090,0.0,6.0 +2091,1.0,0.0 +2092,0.0,4.0 +2093,0.0,4.0 +2094,0.0,2.0 +2095,0.0,4.0 +2096,0.0,4.0 +2097,0.0,6.0 +2098,3.0,6.0 +2099,2.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/350-peak+year_c.csv b/SurgeData/350-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/350-peak+year_c.csv rename to SurgeData/350-peak+year_c.csv diff --git a/SurgeData/N=1000/350-peak+year_w.csv b/SurgeData/350-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/350-peak+year_w.csv rename to SurgeData/350-peak+year_w.csv diff --git a/SurgeData/N=1000/350-peak_c.csv b/SurgeData/350-peak_c.csv similarity index 100% rename from SurgeData/N=1000/350-peak_c.csv rename to SurgeData/350-peak_c.csv diff --git a/SurgeData/N=1000/350-peak_w.csv b/SurgeData/350-peak_w.csv similarity index 100% rename from SurgeData/N=1000/350-peak_w.csv rename to SurgeData/350-peak_w.csv diff --git a/SurgeData/N=1000/350-surge_c.csv b/SurgeData/350-surge_c.csv similarity index 100% rename from SurgeData/N=1000/350-surge_c.csv rename to SurgeData/350-surge_c.csv diff --git a/SurgeData/N=1000/350-surge_w.csv b/SurgeData/350-surge_w.csv similarity index 100% rename from SurgeData/N=1000/350-surge_w.csv rename to SurgeData/350-surge_w.csv diff --git a/SurgeData/N=1000/350-time_c.csv b/SurgeData/350-time_c.csv similarity index 100% rename from SurgeData/N=1000/350-time_c.csv rename to SurgeData/350-time_c.csv diff --git a/SurgeData/N=1000/350-time_w.csv b/SurgeData/350-time_w.csv similarity index 100% rename from SurgeData/N=1000/350-time_w.csv rename to SurgeData/350-time_w.csv diff --git a/SurgeData/N=1000/350-waterlevel_c.csv b/SurgeData/350-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/350-waterlevel_c.csv rename to SurgeData/350-waterlevel_c.csv diff --git a/SurgeData/N=1000/350-waterlevel_w.csv b/SurgeData/350-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/350-waterlevel_w.csv rename to SurgeData/350-waterlevel_w.csv diff --git a/SurgeData/351-num_storm.csv b/SurgeData/351-num_storm.csv new file mode 100644 index 00000000..f2e401c5 --- /dev/null +++ b/SurgeData/351-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,1.0 +2022,1.0,2.0 +2023,0.0,4.0 +2024,1.0,5.0 +2025,2.0,2.0 +2026,1.0,8.0 +2027,1.0,9.0 +2028,3.0,2.0 +2029,0.0,2.0 +2030,2.0,5.0 +2031,1.0,3.0 +2032,3.0,4.0 +2033,1.0,4.0 +2034,0.0,1.0 +2035,3.0,6.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,3.0,3.0 +2039,4.0,3.0 +2040,2.0,5.0 +2041,3.0,6.0 +2042,2.0,2.0 +2043,2.0,3.0 +2044,4.0,4.0 +2045,0.0,5.0 +2046,1.0,3.0 +2047,1.0,2.0 +2048,2.0,5.0 +2049,2.0,3.0 +2050,2.0,7.0 +2051,0.0,4.0 +2052,1.0,6.0 +2053,1.0,2.0 +2054,3.0,4.0 +2055,2.0,3.0 +2056,3.0,3.0 +2057,0.0,5.0 +2058,2.0,4.0 +2059,1.0,7.0 +2060,1.0,4.0 +2061,1.0,3.0 +2062,2.0,1.0 +2063,2.0,5.0 +2064,0.0,3.0 +2065,1.0,3.0 +2066,2.0,5.0 +2067,2.0,1.0 +2068,0.0,6.0 +2069,1.0,2.0 +2070,0.0,5.0 +2071,2.0,2.0 +2072,3.0,5.0 +2073,3.0,7.0 +2074,0.0,3.0 +2075,0.0,5.0 +2076,2.0,6.0 +2077,1.0,3.0 +2078,3.0,10.0 +2079,1.0,7.0 +2080,0.0,4.0 +2081,0.0,6.0 +2082,4.0,3.0 +2083,3.0,4.0 +2084,1.0,3.0 +2085,1.0,4.0 +2086,2.0,5.0 +2087,3.0,3.0 +2088,1.0,7.0 +2089,0.0,3.0 +2090,2.0,5.0 +2091,3.0,2.0 +2092,1.0,2.0 +2093,0.0,0.0 +2094,1.0,5.0 +2095,2.0,2.0 +2096,1.0,3.0 +2097,4.0,6.0 +2098,1.0,6.0 +2099,0.0,1.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/351-peak+year_c.csv b/SurgeData/351-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/351-peak+year_c.csv rename to SurgeData/351-peak+year_c.csv diff --git a/SurgeData/N=1000/351-peak+year_w.csv b/SurgeData/351-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/351-peak+year_w.csv rename to SurgeData/351-peak+year_w.csv diff --git a/SurgeData/N=1000/351-peak_c.csv b/SurgeData/351-peak_c.csv similarity index 100% rename from SurgeData/N=1000/351-peak_c.csv rename to SurgeData/351-peak_c.csv diff --git a/SurgeData/N=1000/351-peak_w.csv b/SurgeData/351-peak_w.csv similarity index 100% rename from SurgeData/N=1000/351-peak_w.csv rename to SurgeData/351-peak_w.csv diff --git a/SurgeData/N=1000/351-surge_c.csv b/SurgeData/351-surge_c.csv similarity index 100% rename from SurgeData/N=1000/351-surge_c.csv rename to SurgeData/351-surge_c.csv diff --git a/SurgeData/N=1000/351-surge_w.csv b/SurgeData/351-surge_w.csv similarity index 100% rename from SurgeData/N=1000/351-surge_w.csv rename to SurgeData/351-surge_w.csv diff --git a/SurgeData/N=1000/351-time_c.csv b/SurgeData/351-time_c.csv similarity index 100% rename from SurgeData/N=1000/351-time_c.csv rename to SurgeData/351-time_c.csv diff --git a/SurgeData/N=1000/351-time_w.csv b/SurgeData/351-time_w.csv similarity index 100% rename from SurgeData/N=1000/351-time_w.csv rename to SurgeData/351-time_w.csv diff --git a/SurgeData/N=1000/351-waterlevel_c.csv b/SurgeData/351-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/351-waterlevel_c.csv rename to SurgeData/351-waterlevel_c.csv diff --git a/SurgeData/N=1000/351-waterlevel_w.csv b/SurgeData/351-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/351-waterlevel_w.csv rename to SurgeData/351-waterlevel_w.csv diff --git a/SurgeData/352-num_storm.csv b/SurgeData/352-num_storm.csv new file mode 100644 index 00000000..4fb0c0f0 --- /dev/null +++ b/SurgeData/352-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,2.0 +2022,2.0,6.0 +2023,0.0,4.0 +2024,1.0,5.0 +2025,1.0,1.0 +2026,0.0,3.0 +2027,2.0,4.0 +2028,4.0,3.0 +2029,2.0,3.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,0.0,3.0 +2033,2.0,3.0 +2034,0.0,3.0 +2035,2.0,4.0 +2036,1.0,1.0 +2037,0.0,4.0 +2038,3.0,4.0 +2039,0.0,7.0 +2040,0.0,8.0 +2041,1.0,3.0 +2042,4.0,8.0 +2043,0.0,4.0 +2044,6.0,3.0 +2045,2.0,6.0 +2046,2.0,6.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,1.0,3.0 +2050,0.0,5.0 +2051,2.0,3.0 +2052,3.0,5.0 +2053,3.0,5.0 +2054,2.0,4.0 +2055,2.0,4.0 +2056,2.0,4.0 +2057,2.0,5.0 +2058,2.0,7.0 +2059,3.0,3.0 +2060,0.0,6.0 +2061,4.0,6.0 +2062,3.0,1.0 +2063,0.0,3.0 +2064,1.0,2.0 +2065,4.0,2.0 +2066,5.0,5.0 +2067,3.0,2.0 +2068,4.0,4.0 +2069,3.0,4.0 +2070,1.0,4.0 +2071,3.0,2.0 +2072,3.0,5.0 +2073,2.0,3.0 +2074,2.0,7.0 +2075,0.0,4.0 +2076,1.0,3.0 +2077,0.0,6.0 +2078,2.0,0.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,0.0,6.0 +2082,1.0,5.0 +2083,3.0,2.0 +2084,1.0,4.0 +2085,0.0,2.0 +2086,2.0,6.0 +2087,1.0,6.0 +2088,1.0,4.0 +2089,1.0,2.0 +2090,0.0,2.0 +2091,1.0,5.0 +2092,3.0,4.0 +2093,2.0,6.0 +2094,2.0,9.0 +2095,2.0,5.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,2.0,4.0 +2099,2.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/352-peak+year_c.csv b/SurgeData/352-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/352-peak+year_c.csv rename to SurgeData/352-peak+year_c.csv diff --git a/SurgeData/N=1000/352-peak+year_w.csv b/SurgeData/352-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/352-peak+year_w.csv rename to SurgeData/352-peak+year_w.csv diff --git a/SurgeData/N=1000/352-peak_c.csv b/SurgeData/352-peak_c.csv similarity index 100% rename from SurgeData/N=1000/352-peak_c.csv rename to SurgeData/352-peak_c.csv diff --git a/SurgeData/N=1000/352-peak_w.csv b/SurgeData/352-peak_w.csv similarity index 100% rename from SurgeData/N=1000/352-peak_w.csv rename to SurgeData/352-peak_w.csv diff --git a/SurgeData/N=1000/352-surge_c.csv b/SurgeData/352-surge_c.csv similarity index 100% rename from SurgeData/N=1000/352-surge_c.csv rename to SurgeData/352-surge_c.csv diff --git a/SurgeData/N=1000/352-surge_w.csv b/SurgeData/352-surge_w.csv similarity index 100% rename from SurgeData/N=1000/352-surge_w.csv rename to SurgeData/352-surge_w.csv diff --git a/SurgeData/N=1000/352-time_c.csv b/SurgeData/352-time_c.csv similarity index 100% rename from SurgeData/N=1000/352-time_c.csv rename to SurgeData/352-time_c.csv diff --git a/SurgeData/N=1000/352-time_w.csv b/SurgeData/352-time_w.csv similarity index 100% rename from SurgeData/N=1000/352-time_w.csv rename to SurgeData/352-time_w.csv diff --git a/SurgeData/N=1000/352-waterlevel_c.csv b/SurgeData/352-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/352-waterlevel_c.csv rename to SurgeData/352-waterlevel_c.csv diff --git a/SurgeData/N=1000/352-waterlevel_w.csv b/SurgeData/352-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/352-waterlevel_w.csv rename to SurgeData/352-waterlevel_w.csv diff --git a/SurgeData/N=1000/353-peak+year_c.csv b/SurgeData/353-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/353-peak+year_c.csv rename to SurgeData/353-peak+year_c.csv diff --git a/SurgeData/N=1000/353-peak+year_w.csv b/SurgeData/353-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/353-peak+year_w.csv rename to SurgeData/353-peak+year_w.csv diff --git a/SurgeData/N=1000/353-peak_c.csv b/SurgeData/353-peak_c.csv similarity index 100% rename from SurgeData/N=1000/353-peak_c.csv rename to SurgeData/353-peak_c.csv diff --git a/SurgeData/N=1000/353-peak_w.csv b/SurgeData/353-peak_w.csv similarity index 100% rename from SurgeData/N=1000/353-peak_w.csv rename to SurgeData/353-peak_w.csv diff --git a/SurgeData/N=1000/353-surge_c.csv b/SurgeData/353-surge_c.csv similarity index 100% rename from SurgeData/N=1000/353-surge_c.csv rename to SurgeData/353-surge_c.csv diff --git a/SurgeData/N=1000/353-surge_w.csv b/SurgeData/353-surge_w.csv similarity index 100% rename from SurgeData/N=1000/353-surge_w.csv rename to SurgeData/353-surge_w.csv diff --git a/SurgeData/N=1000/353-time_c.csv b/SurgeData/353-time_c.csv similarity index 100% rename from SurgeData/N=1000/353-time_c.csv rename to SurgeData/353-time_c.csv diff --git a/SurgeData/N=1000/353-time_w.csv b/SurgeData/353-time_w.csv similarity index 100% rename from SurgeData/N=1000/353-time_w.csv rename to SurgeData/353-time_w.csv diff --git a/SurgeData/N=1000/353-waterlevel_c.csv b/SurgeData/353-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/353-waterlevel_c.csv rename to SurgeData/353-waterlevel_c.csv diff --git a/SurgeData/N=1000/353-waterlevel_w.csv b/SurgeData/353-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/353-waterlevel_w.csv rename to SurgeData/353-waterlevel_w.csv diff --git a/SurgeData/N=1000/354-peak+year_c.csv b/SurgeData/354-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/354-peak+year_c.csv rename to SurgeData/354-peak+year_c.csv diff --git a/SurgeData/N=1000/354-peak+year_w.csv b/SurgeData/354-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/354-peak+year_w.csv rename to SurgeData/354-peak+year_w.csv diff --git a/SurgeData/N=1000/354-peak_c.csv b/SurgeData/354-peak_c.csv similarity index 100% rename from SurgeData/N=1000/354-peak_c.csv rename to SurgeData/354-peak_c.csv diff --git a/SurgeData/N=1000/354-peak_w.csv b/SurgeData/354-peak_w.csv similarity index 100% rename from SurgeData/N=1000/354-peak_w.csv rename to SurgeData/354-peak_w.csv diff --git a/SurgeData/N=1000/354-surge_c.csv b/SurgeData/354-surge_c.csv similarity index 100% rename from SurgeData/N=1000/354-surge_c.csv rename to SurgeData/354-surge_c.csv diff --git a/SurgeData/N=1000/354-surge_w.csv b/SurgeData/354-surge_w.csv similarity index 100% rename from SurgeData/N=1000/354-surge_w.csv rename to SurgeData/354-surge_w.csv diff --git a/SurgeData/N=1000/354-time_c.csv b/SurgeData/354-time_c.csv similarity index 100% rename from SurgeData/N=1000/354-time_c.csv rename to SurgeData/354-time_c.csv diff --git a/SurgeData/N=1000/354-time_w.csv b/SurgeData/354-time_w.csv similarity index 100% rename from SurgeData/N=1000/354-time_w.csv rename to SurgeData/354-time_w.csv diff --git a/SurgeData/N=1000/354-waterlevel_c.csv b/SurgeData/354-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/354-waterlevel_c.csv rename to SurgeData/354-waterlevel_c.csv diff --git a/SurgeData/N=1000/354-waterlevel_w.csv b/SurgeData/354-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/354-waterlevel_w.csv rename to SurgeData/354-waterlevel_w.csv diff --git a/SurgeData/355-num_storm.csv b/SurgeData/355-num_storm.csv new file mode 100644 index 00000000..ab99ba1f --- /dev/null +++ b/SurgeData/355-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,1.0,6.0 +2022,1.0,4.0 +2023,3.0,6.0 +2024,4.0,4.0 +2025,3.0,3.0 +2026,2.0,3.0 +2027,1.0,5.0 +2028,1.0,3.0 +2029,0.0,6.0 +2030,0.0,0.0 +2031,1.0,8.0 +2032,0.0,3.0 +2033,5.0,5.0 +2034,1.0,4.0 +2035,1.0,3.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,0.0,4.0 +2039,0.0,5.0 +2040,2.0,2.0 +2041,3.0,3.0 +2042,1.0,6.0 +2043,3.0,0.0 +2044,3.0,6.0 +2045,1.0,3.0 +2046,3.0,5.0 +2047,3.0,4.0 +2048,3.0,5.0 +2049,2.0,9.0 +2050,2.0,1.0 +2051,1.0,3.0 +2052,0.0,2.0 +2053,1.0,7.0 +2054,1.0,5.0 +2055,0.0,4.0 +2056,1.0,4.0 +2057,1.0,9.0 +2058,2.0,1.0 +2059,2.0,3.0 +2060,2.0,7.0 +2061,2.0,0.0 +2062,1.0,3.0 +2063,0.0,3.0 +2064,1.0,3.0 +2065,4.0,5.0 +2066,2.0,6.0 +2067,2.0,4.0 +2068,2.0,5.0 +2069,1.0,6.0 +2070,0.0,7.0 +2071,0.0,3.0 +2072,1.0,2.0 +2073,0.0,2.0 +2074,0.0,2.0 +2075,1.0,3.0 +2076,1.0,4.0 +2077,1.0,4.0 +2078,2.0,3.0 +2079,2.0,4.0 +2080,1.0,5.0 +2081,2.0,3.0 +2082,3.0,3.0 +2083,3.0,4.0 +2084,2.0,6.0 +2085,2.0,3.0 +2086,0.0,3.0 +2087,3.0,4.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,1.0,6.0 +2091,1.0,2.0 +2092,2.0,3.0 +2093,2.0,6.0 +2094,1.0,6.0 +2095,1.0,4.0 +2096,0.0,2.0 +2097,0.0,4.0 +2098,1.0,1.0 +2099,2.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/355-peak+year_c.csv b/SurgeData/355-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/355-peak+year_c.csv rename to SurgeData/355-peak+year_c.csv diff --git a/SurgeData/N=1000/355-peak+year_w.csv b/SurgeData/355-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/355-peak+year_w.csv rename to SurgeData/355-peak+year_w.csv diff --git a/SurgeData/N=1000/355-peak_c.csv b/SurgeData/355-peak_c.csv similarity index 100% rename from SurgeData/N=1000/355-peak_c.csv rename to SurgeData/355-peak_c.csv diff --git a/SurgeData/N=1000/355-peak_w.csv b/SurgeData/355-peak_w.csv similarity index 100% rename from SurgeData/N=1000/355-peak_w.csv rename to SurgeData/355-peak_w.csv diff --git a/SurgeData/N=1000/355-surge_c.csv b/SurgeData/355-surge_c.csv similarity index 100% rename from SurgeData/N=1000/355-surge_c.csv rename to SurgeData/355-surge_c.csv diff --git a/SurgeData/N=1000/355-surge_w.csv b/SurgeData/355-surge_w.csv similarity index 100% rename from SurgeData/N=1000/355-surge_w.csv rename to SurgeData/355-surge_w.csv diff --git a/SurgeData/N=1000/355-time_c.csv b/SurgeData/355-time_c.csv similarity index 100% rename from SurgeData/N=1000/355-time_c.csv rename to SurgeData/355-time_c.csv diff --git a/SurgeData/N=1000/355-time_w.csv b/SurgeData/355-time_w.csv similarity index 100% rename from SurgeData/N=1000/355-time_w.csv rename to SurgeData/355-time_w.csv diff --git a/SurgeData/N=1000/355-waterlevel_c.csv b/SurgeData/355-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/355-waterlevel_c.csv rename to SurgeData/355-waterlevel_c.csv diff --git a/SurgeData/N=1000/355-waterlevel_w.csv b/SurgeData/355-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/355-waterlevel_w.csv rename to SurgeData/355-waterlevel_w.csv diff --git a/SurgeData/356-num_storm.csv b/SurgeData/356-num_storm.csv new file mode 100644 index 00000000..3cb92ff0 --- /dev/null +++ b/SurgeData/356-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,7.0 +2022,2.0,2.0 +2023,1.0,5.0 +2024,2.0,3.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,3.0,0.0 +2028,3.0,6.0 +2029,1.0,4.0 +2030,4.0,6.0 +2031,0.0,5.0 +2032,1.0,5.0 +2033,1.0,3.0 +2034,1.0,4.0 +2035,0.0,4.0 +2036,1.0,5.0 +2037,2.0,8.0 +2038,1.0,4.0 +2039,1.0,7.0 +2040,2.0,12.0 +2041,3.0,3.0 +2042,3.0,8.0 +2043,2.0,2.0 +2044,2.0,6.0 +2045,2.0,3.0 +2046,0.0,10.0 +2047,3.0,1.0 +2048,1.0,5.0 +2049,0.0,3.0 +2050,1.0,4.0 +2051,2.0,4.0 +2052,0.0,4.0 +2053,2.0,3.0 +2054,1.0,4.0 +2055,1.0,4.0 +2056,1.0,6.0 +2057,5.0,5.0 +2058,3.0,4.0 +2059,0.0,5.0 +2060,0.0,4.0 +2061,2.0,2.0 +2062,2.0,7.0 +2063,5.0,5.0 +2064,0.0,3.0 +2065,2.0,4.0 +2066,1.0,7.0 +2067,1.0,5.0 +2068,2.0,7.0 +2069,0.0,6.0 +2070,0.0,7.0 +2071,1.0,5.0 +2072,4.0,6.0 +2073,1.0,4.0 +2074,2.0,5.0 +2075,1.0,5.0 +2076,1.0,3.0 +2077,3.0,4.0 +2078,1.0,6.0 +2079,0.0,4.0 +2080,2.0,6.0 +2081,2.0,5.0 +2082,0.0,6.0 +2083,3.0,4.0 +2084,0.0,4.0 +2085,1.0,4.0 +2086,0.0,4.0 +2087,3.0,2.0 +2088,1.0,6.0 +2089,1.0,6.0 +2090,0.0,4.0 +2091,2.0,6.0 +2092,3.0,3.0 +2093,4.0,7.0 +2094,0.0,5.0 +2095,5.0,1.0 +2096,0.0,4.0 +2097,3.0,4.0 +2098,0.0,4.0 +2099,2.0,4.0 +2100,1.0,9.0 diff --git a/SurgeData/N=1000/356-peak+year_c.csv b/SurgeData/356-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/356-peak+year_c.csv rename to SurgeData/356-peak+year_c.csv diff --git a/SurgeData/N=1000/356-peak+year_w.csv b/SurgeData/356-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/356-peak+year_w.csv rename to SurgeData/356-peak+year_w.csv diff --git a/SurgeData/N=1000/356-peak_c.csv b/SurgeData/356-peak_c.csv similarity index 100% rename from SurgeData/N=1000/356-peak_c.csv rename to SurgeData/356-peak_c.csv diff --git a/SurgeData/N=1000/356-peak_w.csv b/SurgeData/356-peak_w.csv similarity index 100% rename from SurgeData/N=1000/356-peak_w.csv rename to SurgeData/356-peak_w.csv diff --git a/SurgeData/N=1000/356-surge_c.csv b/SurgeData/356-surge_c.csv similarity index 100% rename from SurgeData/N=1000/356-surge_c.csv rename to SurgeData/356-surge_c.csv diff --git a/SurgeData/N=1000/356-surge_w.csv b/SurgeData/356-surge_w.csv similarity index 100% rename from SurgeData/N=1000/356-surge_w.csv rename to SurgeData/356-surge_w.csv diff --git a/SurgeData/N=1000/356-time_c.csv b/SurgeData/356-time_c.csv similarity index 100% rename from SurgeData/N=1000/356-time_c.csv rename to SurgeData/356-time_c.csv diff --git a/SurgeData/N=1000/356-time_w.csv b/SurgeData/356-time_w.csv similarity index 100% rename from SurgeData/N=1000/356-time_w.csv rename to SurgeData/356-time_w.csv diff --git a/SurgeData/N=1000/356-waterlevel_c.csv b/SurgeData/356-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/356-waterlevel_c.csv rename to SurgeData/356-waterlevel_c.csv diff --git a/SurgeData/N=1000/356-waterlevel_w.csv b/SurgeData/356-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/356-waterlevel_w.csv rename to SurgeData/356-waterlevel_w.csv diff --git a/SurgeData/N=1000/357-peak+year_c.csv b/SurgeData/357-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/357-peak+year_c.csv rename to SurgeData/357-peak+year_c.csv diff --git a/SurgeData/N=1000/357-peak+year_w.csv b/SurgeData/357-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/357-peak+year_w.csv rename to SurgeData/357-peak+year_w.csv diff --git a/SurgeData/N=1000/357-peak_c.csv b/SurgeData/357-peak_c.csv similarity index 100% rename from SurgeData/N=1000/357-peak_c.csv rename to SurgeData/357-peak_c.csv diff --git a/SurgeData/N=1000/357-peak_w.csv b/SurgeData/357-peak_w.csv similarity index 100% rename from SurgeData/N=1000/357-peak_w.csv rename to SurgeData/357-peak_w.csv diff --git a/SurgeData/N=1000/357-surge_c.csv b/SurgeData/357-surge_c.csv similarity index 100% rename from SurgeData/N=1000/357-surge_c.csv rename to SurgeData/357-surge_c.csv diff --git a/SurgeData/N=1000/357-surge_w.csv b/SurgeData/357-surge_w.csv similarity index 100% rename from SurgeData/N=1000/357-surge_w.csv rename to SurgeData/357-surge_w.csv diff --git a/SurgeData/N=1000/357-time_c.csv b/SurgeData/357-time_c.csv similarity index 100% rename from SurgeData/N=1000/357-time_c.csv rename to SurgeData/357-time_c.csv diff --git a/SurgeData/N=1000/357-time_w.csv b/SurgeData/357-time_w.csv similarity index 100% rename from SurgeData/N=1000/357-time_w.csv rename to SurgeData/357-time_w.csv diff --git a/SurgeData/N=1000/357-waterlevel_c.csv b/SurgeData/357-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/357-waterlevel_c.csv rename to SurgeData/357-waterlevel_c.csv diff --git a/SurgeData/N=1000/357-waterlevel_w.csv b/SurgeData/357-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/357-waterlevel_w.csv rename to SurgeData/357-waterlevel_w.csv diff --git a/SurgeData/N=1000/358-peak+year_c.csv b/SurgeData/358-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/358-peak+year_c.csv rename to SurgeData/358-peak+year_c.csv diff --git a/SurgeData/N=1000/358-peak+year_w.csv b/SurgeData/358-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/358-peak+year_w.csv rename to SurgeData/358-peak+year_w.csv diff --git a/SurgeData/N=1000/358-peak_c.csv b/SurgeData/358-peak_c.csv similarity index 100% rename from SurgeData/N=1000/358-peak_c.csv rename to SurgeData/358-peak_c.csv diff --git a/SurgeData/N=1000/358-peak_w.csv b/SurgeData/358-peak_w.csv similarity index 100% rename from SurgeData/N=1000/358-peak_w.csv rename to SurgeData/358-peak_w.csv diff --git a/SurgeData/N=1000/358-surge_c.csv b/SurgeData/358-surge_c.csv similarity index 100% rename from SurgeData/N=1000/358-surge_c.csv rename to SurgeData/358-surge_c.csv diff --git a/SurgeData/N=1000/358-surge_w.csv b/SurgeData/358-surge_w.csv similarity index 100% rename from SurgeData/N=1000/358-surge_w.csv rename to SurgeData/358-surge_w.csv diff --git a/SurgeData/N=1000/358-time_c.csv b/SurgeData/358-time_c.csv similarity index 100% rename from SurgeData/N=1000/358-time_c.csv rename to SurgeData/358-time_c.csv diff --git a/SurgeData/N=1000/358-time_w.csv b/SurgeData/358-time_w.csv similarity index 100% rename from SurgeData/N=1000/358-time_w.csv rename to SurgeData/358-time_w.csv diff --git a/SurgeData/N=1000/358-waterlevel_c.csv b/SurgeData/358-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/358-waterlevel_c.csv rename to SurgeData/358-waterlevel_c.csv diff --git a/SurgeData/N=1000/358-waterlevel_w.csv b/SurgeData/358-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/358-waterlevel_w.csv rename to SurgeData/358-waterlevel_w.csv diff --git a/SurgeData/N=1000/359-peak+year_c.csv b/SurgeData/359-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/359-peak+year_c.csv rename to SurgeData/359-peak+year_c.csv diff --git a/SurgeData/N=1000/359-peak+year_w.csv b/SurgeData/359-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/359-peak+year_w.csv rename to SurgeData/359-peak+year_w.csv diff --git a/SurgeData/N=1000/359-peak_c.csv b/SurgeData/359-peak_c.csv similarity index 100% rename from SurgeData/N=1000/359-peak_c.csv rename to SurgeData/359-peak_c.csv diff --git a/SurgeData/N=1000/359-peak_w.csv b/SurgeData/359-peak_w.csv similarity index 100% rename from SurgeData/N=1000/359-peak_w.csv rename to SurgeData/359-peak_w.csv diff --git a/SurgeData/N=1000/359-surge_c.csv b/SurgeData/359-surge_c.csv similarity index 100% rename from SurgeData/N=1000/359-surge_c.csv rename to SurgeData/359-surge_c.csv diff --git a/SurgeData/N=1000/359-surge_w.csv b/SurgeData/359-surge_w.csv similarity index 100% rename from SurgeData/N=1000/359-surge_w.csv rename to SurgeData/359-surge_w.csv diff --git a/SurgeData/N=1000/359-time_c.csv b/SurgeData/359-time_c.csv similarity index 100% rename from SurgeData/N=1000/359-time_c.csv rename to SurgeData/359-time_c.csv diff --git a/SurgeData/N=1000/359-time_w.csv b/SurgeData/359-time_w.csv similarity index 100% rename from SurgeData/N=1000/359-time_w.csv rename to SurgeData/359-time_w.csv diff --git a/SurgeData/N=1000/359-waterlevel_c.csv b/SurgeData/359-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/359-waterlevel_c.csv rename to SurgeData/359-waterlevel_c.csv diff --git a/SurgeData/N=1000/359-waterlevel_w.csv b/SurgeData/359-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/359-waterlevel_w.csv rename to SurgeData/359-waterlevel_w.csv diff --git a/SurgeData/N=1000/36-peak+year_c.csv b/SurgeData/36-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/36-peak+year_c.csv rename to SurgeData/36-peak+year_c.csv diff --git a/SurgeData/N=1000/36-peak+year_w.csv b/SurgeData/36-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/36-peak+year_w.csv rename to SurgeData/36-peak+year_w.csv diff --git a/SurgeData/N=1000/36-peak_c.csv b/SurgeData/36-peak_c.csv similarity index 100% rename from SurgeData/N=1000/36-peak_c.csv rename to SurgeData/36-peak_c.csv diff --git a/SurgeData/N=1000/36-peak_w.csv b/SurgeData/36-peak_w.csv similarity index 100% rename from SurgeData/N=1000/36-peak_w.csv rename to SurgeData/36-peak_w.csv diff --git a/SurgeData/N=1000/36-surge_c.csv b/SurgeData/36-surge_c.csv similarity index 100% rename from SurgeData/N=1000/36-surge_c.csv rename to SurgeData/36-surge_c.csv diff --git a/SurgeData/N=1000/36-surge_w.csv b/SurgeData/36-surge_w.csv similarity index 100% rename from SurgeData/N=1000/36-surge_w.csv rename to SurgeData/36-surge_w.csv diff --git a/SurgeData/N=1000/36-time_c.csv b/SurgeData/36-time_c.csv similarity index 100% rename from SurgeData/N=1000/36-time_c.csv rename to SurgeData/36-time_c.csv diff --git a/SurgeData/N=1000/36-time_w.csv b/SurgeData/36-time_w.csv similarity index 100% rename from SurgeData/N=1000/36-time_w.csv rename to SurgeData/36-time_w.csv diff --git a/SurgeData/N=1000/36-waterlevel_c.csv b/SurgeData/36-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/36-waterlevel_c.csv rename to SurgeData/36-waterlevel_c.csv diff --git a/SurgeData/N=1000/36-waterlevel_w.csv b/SurgeData/36-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/36-waterlevel_w.csv rename to SurgeData/36-waterlevel_w.csv diff --git a/SurgeData/360-num_storm.csv b/SurgeData/360-num_storm.csv new file mode 100644 index 00000000..4fbfc288 --- /dev/null +++ b/SurgeData/360-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,3.0,7.0 +2022,0.0,4.0 +2023,3.0,3.0 +2024,2.0,3.0 +2025,1.0,1.0 +2026,3.0,8.0 +2027,0.0,3.0 +2028,0.0,7.0 +2029,2.0,2.0 +2030,0.0,6.0 +2031,1.0,3.0 +2032,1.0,4.0 +2033,3.0,4.0 +2034,1.0,7.0 +2035,2.0,4.0 +2036,1.0,1.0 +2037,2.0,5.0 +2038,0.0,2.0 +2039,1.0,10.0 +2040,2.0,3.0 +2041,0.0,9.0 +2042,1.0,3.0 +2043,1.0,2.0 +2044,1.0,9.0 +2045,1.0,1.0 +2046,1.0,6.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,0.0,6.0 +2050,1.0,2.0 +2051,1.0,3.0 +2052,1.0,6.0 +2053,2.0,5.0 +2054,2.0,3.0 +2055,1.0,2.0 +2056,0.0,6.0 +2057,2.0,8.0 +2058,1.0,0.0 +2059,4.0,1.0 +2060,0.0,4.0 +2061,3.0,2.0 +2062,0.0,5.0 +2063,0.0,7.0 +2064,0.0,2.0 +2065,1.0,6.0 +2066,3.0,4.0 +2067,4.0,6.0 +2068,0.0,2.0 +2069,2.0,1.0 +2070,0.0,5.0 +2071,0.0,5.0 +2072,2.0,5.0 +2073,1.0,6.0 +2074,1.0,2.0 +2075,0.0,4.0 +2076,1.0,2.0 +2077,3.0,2.0 +2078,1.0,2.0 +2079,4.0,5.0 +2080,2.0,4.0 +2081,1.0,7.0 +2082,0.0,2.0 +2083,0.0,1.0 +2084,3.0,3.0 +2085,2.0,3.0 +2086,1.0,4.0 +2087,1.0,4.0 +2088,0.0,4.0 +2089,2.0,2.0 +2090,3.0,4.0 +2091,2.0,4.0 +2092,2.0,9.0 +2093,2.0,4.0 +2094,0.0,2.0 +2095,1.0,1.0 +2096,3.0,7.0 +2097,1.0,1.0 +2098,1.0,4.0 +2099,1.0,5.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/360-peak+year_c.csv b/SurgeData/360-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/360-peak+year_c.csv rename to SurgeData/360-peak+year_c.csv diff --git a/SurgeData/N=1000/360-peak+year_w.csv b/SurgeData/360-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/360-peak+year_w.csv rename to SurgeData/360-peak+year_w.csv diff --git a/SurgeData/N=1000/360-peak_c.csv b/SurgeData/360-peak_c.csv similarity index 100% rename from SurgeData/N=1000/360-peak_c.csv rename to SurgeData/360-peak_c.csv diff --git a/SurgeData/N=1000/360-peak_w.csv b/SurgeData/360-peak_w.csv similarity index 100% rename from SurgeData/N=1000/360-peak_w.csv rename to SurgeData/360-peak_w.csv diff --git a/SurgeData/N=1000/360-surge_c.csv b/SurgeData/360-surge_c.csv similarity index 100% rename from SurgeData/N=1000/360-surge_c.csv rename to SurgeData/360-surge_c.csv diff --git a/SurgeData/N=1000/360-surge_w.csv b/SurgeData/360-surge_w.csv similarity index 100% rename from SurgeData/N=1000/360-surge_w.csv rename to SurgeData/360-surge_w.csv diff --git a/SurgeData/N=1000/360-time_c.csv b/SurgeData/360-time_c.csv similarity index 100% rename from SurgeData/N=1000/360-time_c.csv rename to SurgeData/360-time_c.csv diff --git a/SurgeData/N=1000/360-time_w.csv b/SurgeData/360-time_w.csv similarity index 100% rename from SurgeData/N=1000/360-time_w.csv rename to SurgeData/360-time_w.csv diff --git a/SurgeData/N=1000/360-waterlevel_c.csv b/SurgeData/360-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/360-waterlevel_c.csv rename to SurgeData/360-waterlevel_c.csv diff --git a/SurgeData/N=1000/360-waterlevel_w.csv b/SurgeData/360-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/360-waterlevel_w.csv rename to SurgeData/360-waterlevel_w.csv diff --git a/SurgeData/N=1000/361-peak+year_c.csv b/SurgeData/361-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/361-peak+year_c.csv rename to SurgeData/361-peak+year_c.csv diff --git a/SurgeData/N=1000/361-peak+year_w.csv b/SurgeData/361-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/361-peak+year_w.csv rename to SurgeData/361-peak+year_w.csv diff --git a/SurgeData/N=1000/361-peak_c.csv b/SurgeData/361-peak_c.csv similarity index 100% rename from SurgeData/N=1000/361-peak_c.csv rename to SurgeData/361-peak_c.csv diff --git a/SurgeData/N=1000/361-peak_w.csv b/SurgeData/361-peak_w.csv similarity index 100% rename from SurgeData/N=1000/361-peak_w.csv rename to SurgeData/361-peak_w.csv diff --git a/SurgeData/N=1000/361-surge_c.csv b/SurgeData/361-surge_c.csv similarity index 100% rename from SurgeData/N=1000/361-surge_c.csv rename to SurgeData/361-surge_c.csv diff --git a/SurgeData/N=1000/361-surge_w.csv b/SurgeData/361-surge_w.csv similarity index 100% rename from SurgeData/N=1000/361-surge_w.csv rename to SurgeData/361-surge_w.csv diff --git a/SurgeData/N=1000/361-time_c.csv b/SurgeData/361-time_c.csv similarity index 100% rename from SurgeData/N=1000/361-time_c.csv rename to SurgeData/361-time_c.csv diff --git a/SurgeData/N=1000/361-time_w.csv b/SurgeData/361-time_w.csv similarity index 100% rename from SurgeData/N=1000/361-time_w.csv rename to SurgeData/361-time_w.csv diff --git a/SurgeData/N=1000/361-waterlevel_c.csv b/SurgeData/361-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/361-waterlevel_c.csv rename to SurgeData/361-waterlevel_c.csv diff --git a/SurgeData/N=1000/361-waterlevel_w.csv b/SurgeData/361-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/361-waterlevel_w.csv rename to SurgeData/361-waterlevel_w.csv diff --git a/SurgeData/362-num_storm.csv b/SurgeData/362-num_storm.csv new file mode 100644 index 00000000..5f360ba3 --- /dev/null +++ b/SurgeData/362-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,5.0 +2022,2.0,5.0 +2023,0.0,4.0 +2024,1.0,3.0 +2025,4.0,4.0 +2026,2.0,7.0 +2027,1.0,1.0 +2028,1.0,1.0 +2029,1.0,2.0 +2030,1.0,5.0 +2031,1.0,5.0 +2032,2.0,2.0 +2033,1.0,2.0 +2034,1.0,4.0 +2035,1.0,6.0 +2036,2.0,4.0 +2037,1.0,3.0 +2038,4.0,5.0 +2039,3.0,4.0 +2040,1.0,6.0 +2041,0.0,5.0 +2042,1.0,4.0 +2043,1.0,7.0 +2044,0.0,7.0 +2045,2.0,3.0 +2046,0.0,3.0 +2047,1.0,5.0 +2048,2.0,4.0 +2049,3.0,1.0 +2050,2.0,6.0 +2051,1.0,4.0 +2052,0.0,5.0 +2053,2.0,4.0 +2054,3.0,6.0 +2055,1.0,6.0 +2056,0.0,6.0 +2057,3.0,3.0 +2058,2.0,4.0 +2059,1.0,4.0 +2060,3.0,7.0 +2061,1.0,8.0 +2062,1.0,4.0 +2063,1.0,1.0 +2064,1.0,2.0 +2065,1.0,5.0 +2066,1.0,2.0 +2067,1.0,7.0 +2068,3.0,2.0 +2069,0.0,4.0 +2070,3.0,5.0 +2071,1.0,4.0 +2072,1.0,6.0 +2073,2.0,4.0 +2074,0.0,5.0 +2075,0.0,5.0 +2076,2.0,1.0 +2077,1.0,3.0 +2078,2.0,6.0 +2079,1.0,3.0 +2080,1.0,9.0 +2081,1.0,4.0 +2082,0.0,6.0 +2083,4.0,4.0 +2084,0.0,4.0 +2085,0.0,2.0 +2086,3.0,5.0 +2087,0.0,3.0 +2088,1.0,5.0 +2089,3.0,12.0 +2090,0.0,3.0 +2091,2.0,5.0 +2092,2.0,6.0 +2093,1.0,5.0 +2094,2.0,9.0 +2095,1.0,5.0 +2096,1.0,5.0 +2097,0.0,8.0 +2098,1.0,5.0 +2099,1.0,1.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/362-peak+year_c.csv b/SurgeData/362-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/362-peak+year_c.csv rename to SurgeData/362-peak+year_c.csv diff --git a/SurgeData/N=1000/362-peak+year_w.csv b/SurgeData/362-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/362-peak+year_w.csv rename to SurgeData/362-peak+year_w.csv diff --git a/SurgeData/N=1000/362-peak_c.csv b/SurgeData/362-peak_c.csv similarity index 100% rename from SurgeData/N=1000/362-peak_c.csv rename to SurgeData/362-peak_c.csv diff --git a/SurgeData/N=1000/362-peak_w.csv b/SurgeData/362-peak_w.csv similarity index 100% rename from SurgeData/N=1000/362-peak_w.csv rename to SurgeData/362-peak_w.csv diff --git a/SurgeData/N=1000/362-surge_c.csv b/SurgeData/362-surge_c.csv similarity index 100% rename from SurgeData/N=1000/362-surge_c.csv rename to SurgeData/362-surge_c.csv diff --git a/SurgeData/N=1000/362-surge_w.csv b/SurgeData/362-surge_w.csv similarity index 100% rename from SurgeData/N=1000/362-surge_w.csv rename to SurgeData/362-surge_w.csv diff --git a/SurgeData/N=1000/362-time_c.csv b/SurgeData/362-time_c.csv similarity index 100% rename from SurgeData/N=1000/362-time_c.csv rename to SurgeData/362-time_c.csv diff --git a/SurgeData/N=1000/362-time_w.csv b/SurgeData/362-time_w.csv similarity index 100% rename from SurgeData/N=1000/362-time_w.csv rename to SurgeData/362-time_w.csv diff --git a/SurgeData/N=1000/362-waterlevel_c.csv b/SurgeData/362-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/362-waterlevel_c.csv rename to SurgeData/362-waterlevel_c.csv diff --git a/SurgeData/N=1000/362-waterlevel_w.csv b/SurgeData/362-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/362-waterlevel_w.csv rename to SurgeData/362-waterlevel_w.csv diff --git a/SurgeData/N=1000/363-peak+year_c.csv b/SurgeData/363-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/363-peak+year_c.csv rename to SurgeData/363-peak+year_c.csv diff --git a/SurgeData/N=1000/363-peak+year_w.csv b/SurgeData/363-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/363-peak+year_w.csv rename to SurgeData/363-peak+year_w.csv diff --git a/SurgeData/N=1000/363-peak_c.csv b/SurgeData/363-peak_c.csv similarity index 100% rename from SurgeData/N=1000/363-peak_c.csv rename to SurgeData/363-peak_c.csv diff --git a/SurgeData/N=1000/363-peak_w.csv b/SurgeData/363-peak_w.csv similarity index 100% rename from SurgeData/N=1000/363-peak_w.csv rename to SurgeData/363-peak_w.csv diff --git a/SurgeData/N=1000/363-surge_c.csv b/SurgeData/363-surge_c.csv similarity index 100% rename from SurgeData/N=1000/363-surge_c.csv rename to SurgeData/363-surge_c.csv diff --git a/SurgeData/N=1000/363-surge_w.csv b/SurgeData/363-surge_w.csv similarity index 100% rename from SurgeData/N=1000/363-surge_w.csv rename to SurgeData/363-surge_w.csv diff --git a/SurgeData/N=1000/363-time_c.csv b/SurgeData/363-time_c.csv similarity index 100% rename from SurgeData/N=1000/363-time_c.csv rename to SurgeData/363-time_c.csv diff --git a/SurgeData/N=1000/363-time_w.csv b/SurgeData/363-time_w.csv similarity index 100% rename from SurgeData/N=1000/363-time_w.csv rename to SurgeData/363-time_w.csv diff --git a/SurgeData/N=1000/363-waterlevel_c.csv b/SurgeData/363-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/363-waterlevel_c.csv rename to SurgeData/363-waterlevel_c.csv diff --git a/SurgeData/N=1000/363-waterlevel_w.csv b/SurgeData/363-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/363-waterlevel_w.csv rename to SurgeData/363-waterlevel_w.csv diff --git a/SurgeData/N=1000/364-peak+year_c.csv b/SurgeData/364-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/364-peak+year_c.csv rename to SurgeData/364-peak+year_c.csv diff --git a/SurgeData/N=1000/364-peak+year_w.csv b/SurgeData/364-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/364-peak+year_w.csv rename to SurgeData/364-peak+year_w.csv diff --git a/SurgeData/N=1000/364-peak_c.csv b/SurgeData/364-peak_c.csv similarity index 100% rename from SurgeData/N=1000/364-peak_c.csv rename to SurgeData/364-peak_c.csv diff --git a/SurgeData/N=1000/364-peak_w.csv b/SurgeData/364-peak_w.csv similarity index 100% rename from SurgeData/N=1000/364-peak_w.csv rename to SurgeData/364-peak_w.csv diff --git a/SurgeData/N=1000/364-surge_c.csv b/SurgeData/364-surge_c.csv similarity index 100% rename from SurgeData/N=1000/364-surge_c.csv rename to SurgeData/364-surge_c.csv diff --git a/SurgeData/N=1000/364-surge_w.csv b/SurgeData/364-surge_w.csv similarity index 100% rename from SurgeData/N=1000/364-surge_w.csv rename to SurgeData/364-surge_w.csv diff --git a/SurgeData/N=1000/364-time_c.csv b/SurgeData/364-time_c.csv similarity index 100% rename from SurgeData/N=1000/364-time_c.csv rename to SurgeData/364-time_c.csv diff --git a/SurgeData/N=1000/364-time_w.csv b/SurgeData/364-time_w.csv similarity index 100% rename from SurgeData/N=1000/364-time_w.csv rename to SurgeData/364-time_w.csv diff --git a/SurgeData/N=1000/364-waterlevel_c.csv b/SurgeData/364-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/364-waterlevel_c.csv rename to SurgeData/364-waterlevel_c.csv diff --git a/SurgeData/N=1000/364-waterlevel_w.csv b/SurgeData/364-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/364-waterlevel_w.csv rename to SurgeData/364-waterlevel_w.csv diff --git a/SurgeData/365-num_storm.csv b/SurgeData/365-num_storm.csv new file mode 100644 index 00000000..89a04268 --- /dev/null +++ b/SurgeData/365-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,6.0 +2022,3.0,5.0 +2023,1.0,3.0 +2024,2.0,2.0 +2025,1.0,7.0 +2026,0.0,2.0 +2027,0.0,6.0 +2028,4.0,2.0 +2029,1.0,6.0 +2030,2.0,2.0 +2031,1.0,1.0 +2032,4.0,3.0 +2033,1.0,2.0 +2034,3.0,4.0 +2035,1.0,0.0 +2036,1.0,2.0 +2037,2.0,5.0 +2038,2.0,6.0 +2039,2.0,5.0 +2040,1.0,1.0 +2041,2.0,3.0 +2042,1.0,3.0 +2043,2.0,6.0 +2044,1.0,2.0 +2045,2.0,6.0 +2046,0.0,6.0 +2047,1.0,3.0 +2048,0.0,4.0 +2049,2.0,3.0 +2050,1.0,3.0 +2051,0.0,8.0 +2052,3.0,1.0 +2053,1.0,4.0 +2054,4.0,6.0 +2055,2.0,6.0 +2056,2.0,4.0 +2057,2.0,1.0 +2058,0.0,6.0 +2059,2.0,2.0 +2060,4.0,3.0 +2061,2.0,4.0 +2062,2.0,3.0 +2063,1.0,4.0 +2064,2.0,2.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,2.0,4.0 +2068,5.0,5.0 +2069,0.0,5.0 +2070,0.0,4.0 +2071,1.0,2.0 +2072,1.0,5.0 +2073,1.0,6.0 +2074,3.0,6.0 +2075,0.0,6.0 +2076,1.0,6.0 +2077,3.0,5.0 +2078,1.0,2.0 +2079,1.0,1.0 +2080,3.0,4.0 +2081,2.0,4.0 +2082,0.0,3.0 +2083,1.0,3.0 +2084,1.0,2.0 +2085,2.0,1.0 +2086,0.0,4.0 +2087,0.0,2.0 +2088,1.0,4.0 +2089,3.0,2.0 +2090,0.0,4.0 +2091,4.0,1.0 +2092,4.0,5.0 +2093,3.0,2.0 +2094,0.0,1.0 +2095,1.0,2.0 +2096,2.0,6.0 +2097,1.0,4.0 +2098,0.0,5.0 +2099,0.0,9.0 +2100,4.0,6.0 diff --git a/SurgeData/N=1000/365-peak+year_c.csv b/SurgeData/365-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/365-peak+year_c.csv rename to SurgeData/365-peak+year_c.csv diff --git a/SurgeData/N=1000/365-peak+year_w.csv b/SurgeData/365-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/365-peak+year_w.csv rename to SurgeData/365-peak+year_w.csv diff --git a/SurgeData/N=1000/365-peak_c.csv b/SurgeData/365-peak_c.csv similarity index 100% rename from SurgeData/N=1000/365-peak_c.csv rename to SurgeData/365-peak_c.csv diff --git a/SurgeData/N=1000/365-peak_w.csv b/SurgeData/365-peak_w.csv similarity index 100% rename from SurgeData/N=1000/365-peak_w.csv rename to SurgeData/365-peak_w.csv diff --git a/SurgeData/N=1000/365-surge_c.csv b/SurgeData/365-surge_c.csv similarity index 100% rename from SurgeData/N=1000/365-surge_c.csv rename to SurgeData/365-surge_c.csv diff --git a/SurgeData/N=1000/365-surge_w.csv b/SurgeData/365-surge_w.csv similarity index 100% rename from SurgeData/N=1000/365-surge_w.csv rename to SurgeData/365-surge_w.csv diff --git a/SurgeData/N=1000/365-time_c.csv b/SurgeData/365-time_c.csv similarity index 100% rename from SurgeData/N=1000/365-time_c.csv rename to SurgeData/365-time_c.csv diff --git a/SurgeData/N=1000/365-time_w.csv b/SurgeData/365-time_w.csv similarity index 100% rename from SurgeData/N=1000/365-time_w.csv rename to SurgeData/365-time_w.csv diff --git a/SurgeData/N=1000/365-waterlevel_c.csv b/SurgeData/365-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/365-waterlevel_c.csv rename to SurgeData/365-waterlevel_c.csv diff --git a/SurgeData/N=1000/365-waterlevel_w.csv b/SurgeData/365-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/365-waterlevel_w.csv rename to SurgeData/365-waterlevel_w.csv diff --git a/SurgeData/366-num_storm.csv b/SurgeData/366-num_storm.csv new file mode 100644 index 00000000..18de80c1 --- /dev/null +++ b/SurgeData/366-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,2.0,5.0 +2022,2.0,5.0 +2023,0.0,8.0 +2024,3.0,6.0 +2025,2.0,4.0 +2026,0.0,5.0 +2027,1.0,1.0 +2028,5.0,1.0 +2029,3.0,6.0 +2030,1.0,7.0 +2031,1.0,4.0 +2032,5.0,3.0 +2033,2.0,10.0 +2034,1.0,8.0 +2035,0.0,3.0 +2036,0.0,3.0 +2037,3.0,3.0 +2038,1.0,14.0 +2039,2.0,2.0 +2040,0.0,7.0 +2041,1.0,2.0 +2042,3.0,2.0 +2043,2.0,4.0 +2044,3.0,4.0 +2045,0.0,4.0 +2046,1.0,2.0 +2047,1.0,5.0 +2048,1.0,5.0 +2049,2.0,4.0 +2050,1.0,4.0 +2051,1.0,6.0 +2052,2.0,4.0 +2053,4.0,0.0 +2054,1.0,4.0 +2055,1.0,5.0 +2056,3.0,7.0 +2057,5.0,3.0 +2058,3.0,3.0 +2059,1.0,7.0 +2060,3.0,2.0 +2061,0.0,4.0 +2062,3.0,3.0 +2063,2.0,4.0 +2064,0.0,8.0 +2065,3.0,6.0 +2066,0.0,8.0 +2067,0.0,2.0 +2068,0.0,7.0 +2069,2.0,8.0 +2070,1.0,8.0 +2071,1.0,3.0 +2072,2.0,4.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,2.0,6.0 +2076,2.0,3.0 +2077,1.0,6.0 +2078,2.0,6.0 +2079,1.0,3.0 +2080,0.0,4.0 +2081,0.0,0.0 +2082,4.0,3.0 +2083,0.0,4.0 +2084,3.0,2.0 +2085,1.0,5.0 +2086,3.0,7.0 +2087,1.0,0.0 +2088,0.0,5.0 +2089,2.0,4.0 +2090,3.0,3.0 +2091,1.0,8.0 +2092,2.0,6.0 +2093,1.0,3.0 +2094,2.0,7.0 +2095,0.0,3.0 +2096,1.0,3.0 +2097,2.0,3.0 +2098,2.0,8.0 +2099,1.0,7.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/366-peak+year_c.csv b/SurgeData/366-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/366-peak+year_c.csv rename to SurgeData/366-peak+year_c.csv diff --git a/SurgeData/N=1000/366-peak+year_w.csv b/SurgeData/366-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/366-peak+year_w.csv rename to SurgeData/366-peak+year_w.csv diff --git a/SurgeData/N=1000/366-peak_c.csv b/SurgeData/366-peak_c.csv similarity index 100% rename from SurgeData/N=1000/366-peak_c.csv rename to SurgeData/366-peak_c.csv diff --git a/SurgeData/N=1000/366-peak_w.csv b/SurgeData/366-peak_w.csv similarity index 100% rename from SurgeData/N=1000/366-peak_w.csv rename to SurgeData/366-peak_w.csv diff --git a/SurgeData/N=1000/366-surge_c.csv b/SurgeData/366-surge_c.csv similarity index 100% rename from SurgeData/N=1000/366-surge_c.csv rename to SurgeData/366-surge_c.csv diff --git a/SurgeData/N=1000/366-surge_w.csv b/SurgeData/366-surge_w.csv similarity index 100% rename from SurgeData/N=1000/366-surge_w.csv rename to SurgeData/366-surge_w.csv diff --git a/SurgeData/N=1000/366-time_c.csv b/SurgeData/366-time_c.csv similarity index 100% rename from SurgeData/N=1000/366-time_c.csv rename to SurgeData/366-time_c.csv diff --git a/SurgeData/N=1000/366-time_w.csv b/SurgeData/366-time_w.csv similarity index 100% rename from SurgeData/N=1000/366-time_w.csv rename to SurgeData/366-time_w.csv diff --git a/SurgeData/N=1000/366-waterlevel_c.csv b/SurgeData/366-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/366-waterlevel_c.csv rename to SurgeData/366-waterlevel_c.csv diff --git a/SurgeData/N=1000/366-waterlevel_w.csv b/SurgeData/366-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/366-waterlevel_w.csv rename to SurgeData/366-waterlevel_w.csv diff --git a/SurgeData/367-num_storm.csv b/SurgeData/367-num_storm.csv new file mode 100644 index 00000000..9e3ab841 --- /dev/null +++ b/SurgeData/367-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,0.0,2.0 +2022,1.0,5.0 +2023,0.0,9.0 +2024,1.0,6.0 +2025,2.0,5.0 +2026,0.0,4.0 +2027,1.0,5.0 +2028,5.0,4.0 +2029,0.0,6.0 +2030,1.0,3.0 +2031,1.0,4.0 +2032,2.0,4.0 +2033,2.0,4.0 +2034,1.0,9.0 +2035,0.0,7.0 +2036,2.0,6.0 +2037,2.0,4.0 +2038,1.0,3.0 +2039,1.0,7.0 +2040,2.0,5.0 +2041,0.0,4.0 +2042,1.0,4.0 +2043,2.0,7.0 +2044,0.0,1.0 +2045,4.0,3.0 +2046,3.0,4.0 +2047,2.0,7.0 +2048,3.0,5.0 +2049,0.0,7.0 +2050,1.0,7.0 +2051,1.0,3.0 +2052,1.0,2.0 +2053,1.0,3.0 +2054,3.0,1.0 +2055,2.0,4.0 +2056,1.0,8.0 +2057,3.0,7.0 +2058,0.0,2.0 +2059,2.0,5.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,1.0,2.0 +2064,1.0,3.0 +2065,0.0,1.0 +2066,4.0,7.0 +2067,4.0,4.0 +2068,3.0,8.0 +2069,2.0,2.0 +2070,1.0,4.0 +2071,4.0,3.0 +2072,3.0,3.0 +2073,0.0,5.0 +2074,0.0,5.0 +2075,4.0,2.0 +2076,0.0,7.0 +2077,2.0,0.0 +2078,1.0,5.0 +2079,0.0,5.0 +2080,0.0,4.0 +2081,3.0,1.0 +2082,3.0,0.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,1.0,8.0 +2086,0.0,2.0 +2087,1.0,4.0 +2088,2.0,3.0 +2089,6.0,5.0 +2090,1.0,5.0 +2091,1.0,6.0 +2092,1.0,10.0 +2093,1.0,1.0 +2094,1.0,2.0 +2095,1.0,7.0 +2096,1.0,2.0 +2097,2.0,6.0 +2098,4.0,6.0 +2099,1.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/367-peak+year_c.csv b/SurgeData/367-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/367-peak+year_c.csv rename to SurgeData/367-peak+year_c.csv diff --git a/SurgeData/N=1000/367-peak+year_w.csv b/SurgeData/367-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/367-peak+year_w.csv rename to SurgeData/367-peak+year_w.csv diff --git a/SurgeData/N=1000/367-peak_c.csv b/SurgeData/367-peak_c.csv similarity index 100% rename from SurgeData/N=1000/367-peak_c.csv rename to SurgeData/367-peak_c.csv diff --git a/SurgeData/N=1000/367-peak_w.csv b/SurgeData/367-peak_w.csv similarity index 100% rename from SurgeData/N=1000/367-peak_w.csv rename to SurgeData/367-peak_w.csv diff --git a/SurgeData/N=1000/367-surge_c.csv b/SurgeData/367-surge_c.csv similarity index 100% rename from SurgeData/N=1000/367-surge_c.csv rename to SurgeData/367-surge_c.csv diff --git a/SurgeData/N=1000/367-surge_w.csv b/SurgeData/367-surge_w.csv similarity index 100% rename from SurgeData/N=1000/367-surge_w.csv rename to SurgeData/367-surge_w.csv diff --git a/SurgeData/N=1000/367-time_c.csv b/SurgeData/367-time_c.csv similarity index 100% rename from SurgeData/N=1000/367-time_c.csv rename to SurgeData/367-time_c.csv diff --git a/SurgeData/N=1000/367-time_w.csv b/SurgeData/367-time_w.csv similarity index 100% rename from SurgeData/N=1000/367-time_w.csv rename to SurgeData/367-time_w.csv diff --git a/SurgeData/N=1000/367-waterlevel_c.csv b/SurgeData/367-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/367-waterlevel_c.csv rename to SurgeData/367-waterlevel_c.csv diff --git a/SurgeData/N=1000/367-waterlevel_w.csv b/SurgeData/367-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/367-waterlevel_w.csv rename to SurgeData/367-waterlevel_w.csv diff --git a/SurgeData/368-num_storm.csv b/SurgeData/368-num_storm.csv new file mode 100644 index 00000000..9ced9ecd --- /dev/null +++ b/SurgeData/368-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,5.0 +2022,5.0,8.0 +2023,1.0,7.0 +2024,3.0,1.0 +2025,2.0,6.0 +2026,5.0,3.0 +2027,1.0,8.0 +2028,3.0,5.0 +2029,2.0,3.0 +2030,2.0,8.0 +2031,1.0,2.0 +2032,4.0,1.0 +2033,1.0,1.0 +2034,1.0,4.0 +2035,1.0,3.0 +2036,2.0,1.0 +2037,0.0,2.0 +2038,2.0,5.0 +2039,3.0,4.0 +2040,3.0,3.0 +2041,2.0,3.0 +2042,1.0,2.0 +2043,2.0,4.0 +2044,2.0,4.0 +2045,0.0,2.0 +2046,1.0,2.0 +2047,3.0,3.0 +2048,2.0,5.0 +2049,3.0,4.0 +2050,1.0,4.0 +2051,6.0,4.0 +2052,1.0,1.0 +2053,0.0,3.0 +2054,1.0,3.0 +2055,2.0,5.0 +2056,1.0,4.0 +2057,1.0,6.0 +2058,1.0,8.0 +2059,1.0,8.0 +2060,1.0,2.0 +2061,1.0,4.0 +2062,3.0,8.0 +2063,0.0,5.0 +2064,1.0,2.0 +2065,2.0,3.0 +2066,3.0,3.0 +2067,0.0,3.0 +2068,1.0,7.0 +2069,0.0,3.0 +2070,0.0,4.0 +2071,3.0,2.0 +2072,1.0,5.0 +2073,0.0,4.0 +2074,1.0,4.0 +2075,2.0,4.0 +2076,1.0,5.0 +2077,0.0,5.0 +2078,1.0,11.0 +2079,0.0,6.0 +2080,1.0,3.0 +2081,0.0,4.0 +2082,4.0,4.0 +2083,1.0,6.0 +2084,1.0,6.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,1.0,9.0 +2088,2.0,5.0 +2089,0.0,5.0 +2090,0.0,4.0 +2091,1.0,6.0 +2092,2.0,1.0 +2093,2.0,5.0 +2094,1.0,5.0 +2095,1.0,1.0 +2096,1.0,5.0 +2097,2.0,4.0 +2098,5.0,5.0 +2099,2.0,5.0 +2100,4.0,5.0 diff --git a/SurgeData/N=1000/368-peak+year_c.csv b/SurgeData/368-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/368-peak+year_c.csv rename to SurgeData/368-peak+year_c.csv diff --git a/SurgeData/N=1000/368-peak+year_w.csv b/SurgeData/368-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/368-peak+year_w.csv rename to SurgeData/368-peak+year_w.csv diff --git a/SurgeData/N=1000/368-peak_c.csv b/SurgeData/368-peak_c.csv similarity index 100% rename from SurgeData/N=1000/368-peak_c.csv rename to SurgeData/368-peak_c.csv diff --git a/SurgeData/N=1000/368-peak_w.csv b/SurgeData/368-peak_w.csv similarity index 100% rename from SurgeData/N=1000/368-peak_w.csv rename to SurgeData/368-peak_w.csv diff --git a/SurgeData/N=1000/368-surge_c.csv b/SurgeData/368-surge_c.csv similarity index 100% rename from SurgeData/N=1000/368-surge_c.csv rename to SurgeData/368-surge_c.csv diff --git a/SurgeData/N=1000/368-surge_w.csv b/SurgeData/368-surge_w.csv similarity index 100% rename from SurgeData/N=1000/368-surge_w.csv rename to SurgeData/368-surge_w.csv diff --git a/SurgeData/N=1000/368-time_c.csv b/SurgeData/368-time_c.csv similarity index 100% rename from SurgeData/N=1000/368-time_c.csv rename to SurgeData/368-time_c.csv diff --git a/SurgeData/N=1000/368-time_w.csv b/SurgeData/368-time_w.csv similarity index 100% rename from SurgeData/N=1000/368-time_w.csv rename to SurgeData/368-time_w.csv diff --git a/SurgeData/N=1000/368-waterlevel_c.csv b/SurgeData/368-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/368-waterlevel_c.csv rename to SurgeData/368-waterlevel_c.csv diff --git a/SurgeData/N=1000/368-waterlevel_w.csv b/SurgeData/368-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/368-waterlevel_w.csv rename to SurgeData/368-waterlevel_w.csv diff --git a/SurgeData/369-num_storm.csv b/SurgeData/369-num_storm.csv new file mode 100644 index 00000000..4d06fdd1 --- /dev/null +++ b/SurgeData/369-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,4.0 +2022,1.0,8.0 +2023,1.0,4.0 +2024,0.0,2.0 +2025,2.0,3.0 +2026,1.0,3.0 +2027,0.0,3.0 +2028,2.0,4.0 +2029,0.0,2.0 +2030,1.0,0.0 +2031,2.0,1.0 +2032,0.0,7.0 +2033,2.0,5.0 +2034,3.0,6.0 +2035,2.0,8.0 +2036,1.0,5.0 +2037,0.0,5.0 +2038,3.0,6.0 +2039,2.0,3.0 +2040,2.0,3.0 +2041,3.0,6.0 +2042,0.0,5.0 +2043,2.0,3.0 +2044,3.0,6.0 +2045,0.0,3.0 +2046,0.0,4.0 +2047,1.0,5.0 +2048,1.0,6.0 +2049,2.0,3.0 +2050,1.0,4.0 +2051,4.0,5.0 +2052,2.0,4.0 +2053,3.0,6.0 +2054,2.0,7.0 +2055,1.0,3.0 +2056,2.0,5.0 +2057,1.0,4.0 +2058,2.0,5.0 +2059,0.0,4.0 +2060,1.0,7.0 +2061,1.0,3.0 +2062,2.0,6.0 +2063,2.0,4.0 +2064,3.0,3.0 +2065,1.0,4.0 +2066,3.0,3.0 +2067,4.0,6.0 +2068,2.0,7.0 +2069,0.0,2.0 +2070,1.0,4.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,2.0,2.0 +2074,3.0,2.0 +2075,2.0,7.0 +2076,2.0,3.0 +2077,2.0,7.0 +2078,4.0,5.0 +2079,2.0,5.0 +2080,1.0,3.0 +2081,0.0,3.0 +2082,1.0,8.0 +2083,5.0,3.0 +2084,2.0,4.0 +2085,1.0,4.0 +2086,1.0,2.0 +2087,1.0,7.0 +2088,0.0,5.0 +2089,4.0,4.0 +2090,3.0,3.0 +2091,3.0,4.0 +2092,4.0,3.0 +2093,2.0,6.0 +2094,1.0,7.0 +2095,2.0,3.0 +2096,2.0,5.0 +2097,0.0,4.0 +2098,1.0,4.0 +2099,0.0,3.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/369-peak+year_c.csv b/SurgeData/369-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/369-peak+year_c.csv rename to SurgeData/369-peak+year_c.csv diff --git a/SurgeData/N=1000/369-peak+year_w.csv b/SurgeData/369-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/369-peak+year_w.csv rename to SurgeData/369-peak+year_w.csv diff --git a/SurgeData/N=1000/369-peak_c.csv b/SurgeData/369-peak_c.csv similarity index 100% rename from SurgeData/N=1000/369-peak_c.csv rename to SurgeData/369-peak_c.csv diff --git a/SurgeData/N=1000/369-peak_w.csv b/SurgeData/369-peak_w.csv similarity index 100% rename from SurgeData/N=1000/369-peak_w.csv rename to SurgeData/369-peak_w.csv diff --git a/SurgeData/N=1000/369-surge_c.csv b/SurgeData/369-surge_c.csv similarity index 100% rename from SurgeData/N=1000/369-surge_c.csv rename to SurgeData/369-surge_c.csv diff --git a/SurgeData/N=1000/369-surge_w.csv b/SurgeData/369-surge_w.csv similarity index 100% rename from SurgeData/N=1000/369-surge_w.csv rename to SurgeData/369-surge_w.csv diff --git a/SurgeData/N=1000/369-time_c.csv b/SurgeData/369-time_c.csv similarity index 100% rename from SurgeData/N=1000/369-time_c.csv rename to SurgeData/369-time_c.csv diff --git a/SurgeData/N=1000/369-time_w.csv b/SurgeData/369-time_w.csv similarity index 100% rename from SurgeData/N=1000/369-time_w.csv rename to SurgeData/369-time_w.csv diff --git a/SurgeData/N=1000/369-waterlevel_c.csv b/SurgeData/369-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/369-waterlevel_c.csv rename to SurgeData/369-waterlevel_c.csv diff --git a/SurgeData/N=1000/369-waterlevel_w.csv b/SurgeData/369-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/369-waterlevel_w.csv rename to SurgeData/369-waterlevel_w.csv diff --git a/SurgeData/37-num_storm.csv b/SurgeData/37-num_storm.csv new file mode 100644 index 00000000..dd59be25 --- /dev/null +++ b/SurgeData/37-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,3.0,3.0 +2022,0.0,3.0 +2023,0.0,4.0 +2024,2.0,4.0 +2025,3.0,2.0 +2026,1.0,2.0 +2027,0.0,6.0 +2028,1.0,0.0 +2029,3.0,1.0 +2030,1.0,6.0 +2031,3.0,5.0 +2032,1.0,5.0 +2033,5.0,7.0 +2034,1.0,3.0 +2035,3.0,1.0 +2036,2.0,2.0 +2037,1.0,4.0 +2038,2.0,7.0 +2039,4.0,2.0 +2040,4.0,2.0 +2041,1.0,6.0 +2042,0.0,5.0 +2043,0.0,2.0 +2044,2.0,2.0 +2045,3.0,7.0 +2046,2.0,7.0 +2047,0.0,1.0 +2048,0.0,4.0 +2049,4.0,5.0 +2050,3.0,6.0 +2051,1.0,3.0 +2052,0.0,2.0 +2053,1.0,5.0 +2054,1.0,4.0 +2055,1.0,5.0 +2056,4.0,8.0 +2057,3.0,3.0 +2058,0.0,6.0 +2059,0.0,2.0 +2060,1.0,2.0 +2061,1.0,1.0 +2062,2.0,4.0 +2063,2.0,2.0 +2064,0.0,5.0 +2065,2.0,3.0 +2066,1.0,3.0 +2067,0.0,5.0 +2068,2.0,7.0 +2069,0.0,4.0 +2070,2.0,2.0 +2071,1.0,7.0 +2072,0.0,4.0 +2073,1.0,7.0 +2074,0.0,5.0 +2075,2.0,3.0 +2076,1.0,5.0 +2077,0.0,5.0 +2078,0.0,4.0 +2079,2.0,7.0 +2080,1.0,2.0 +2081,2.0,3.0 +2082,1.0,6.0 +2083,4.0,1.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,3.0,6.0 +2087,1.0,3.0 +2088,0.0,4.0 +2089,1.0,3.0 +2090,1.0,2.0 +2091,3.0,4.0 +2092,0.0,5.0 +2093,1.0,3.0 +2094,2.0,7.0 +2095,1.0,3.0 +2096,1.0,4.0 +2097,0.0,3.0 +2098,3.0,5.0 +2099,1.0,8.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/37-peak+year_c.csv b/SurgeData/37-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/37-peak+year_c.csv rename to SurgeData/37-peak+year_c.csv diff --git a/SurgeData/N=1000/37-peak+year_w.csv b/SurgeData/37-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/37-peak+year_w.csv rename to SurgeData/37-peak+year_w.csv diff --git a/SurgeData/N=1000/37-peak_c.csv b/SurgeData/37-peak_c.csv similarity index 100% rename from SurgeData/N=1000/37-peak_c.csv rename to SurgeData/37-peak_c.csv diff --git a/SurgeData/N=1000/37-peak_w.csv b/SurgeData/37-peak_w.csv similarity index 100% rename from SurgeData/N=1000/37-peak_w.csv rename to SurgeData/37-peak_w.csv diff --git a/SurgeData/N=1000/37-surge_c.csv b/SurgeData/37-surge_c.csv similarity index 100% rename from SurgeData/N=1000/37-surge_c.csv rename to SurgeData/37-surge_c.csv diff --git a/SurgeData/N=1000/37-surge_w.csv b/SurgeData/37-surge_w.csv similarity index 100% rename from SurgeData/N=1000/37-surge_w.csv rename to SurgeData/37-surge_w.csv diff --git a/SurgeData/N=1000/37-time_c.csv b/SurgeData/37-time_c.csv similarity index 100% rename from SurgeData/N=1000/37-time_c.csv rename to SurgeData/37-time_c.csv diff --git a/SurgeData/N=1000/37-time_w.csv b/SurgeData/37-time_w.csv similarity index 100% rename from SurgeData/N=1000/37-time_w.csv rename to SurgeData/37-time_w.csv diff --git a/SurgeData/N=1000/37-waterlevel_c.csv b/SurgeData/37-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/37-waterlevel_c.csv rename to SurgeData/37-waterlevel_c.csv diff --git a/SurgeData/N=1000/37-waterlevel_w.csv b/SurgeData/37-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/37-waterlevel_w.csv rename to SurgeData/37-waterlevel_w.csv diff --git a/SurgeData/370-num_storm.csv b/SurgeData/370-num_storm.csv new file mode 100644 index 00000000..aa0bd501 --- /dev/null +++ b/SurgeData/370-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,7.0 +2022,3.0,2.0 +2023,2.0,3.0 +2024,2.0,5.0 +2025,4.0,3.0 +2026,2.0,2.0 +2027,1.0,3.0 +2028,1.0,5.0 +2029,1.0,3.0 +2030,0.0,5.0 +2031,1.0,1.0 +2032,0.0,9.0 +2033,4.0,5.0 +2034,1.0,5.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,1.0,2.0 +2038,0.0,6.0 +2039,0.0,3.0 +2040,1.0,1.0 +2041,2.0,2.0 +2042,1.0,5.0 +2043,3.0,2.0 +2044,2.0,3.0 +2045,0.0,3.0 +2046,0.0,4.0 +2047,4.0,2.0 +2048,1.0,3.0 +2049,1.0,5.0 +2050,1.0,4.0 +2051,1.0,6.0 +2052,2.0,4.0 +2053,2.0,10.0 +2054,1.0,1.0 +2055,3.0,3.0 +2056,3.0,6.0 +2057,2.0,4.0 +2058,2.0,2.0 +2059,0.0,5.0 +2060,2.0,6.0 +2061,0.0,4.0 +2062,4.0,5.0 +2063,0.0,7.0 +2064,2.0,3.0 +2065,2.0,5.0 +2066,1.0,4.0 +2067,5.0,8.0 +2068,1.0,7.0 +2069,1.0,4.0 +2070,1.0,7.0 +2071,1.0,6.0 +2072,0.0,2.0 +2073,3.0,8.0 +2074,1.0,3.0 +2075,4.0,6.0 +2076,3.0,5.0 +2077,5.0,4.0 +2078,1.0,5.0 +2079,4.0,3.0 +2080,2.0,1.0 +2081,2.0,6.0 +2082,0.0,3.0 +2083,1.0,3.0 +2084,1.0,5.0 +2085,1.0,3.0 +2086,1.0,6.0 +2087,0.0,6.0 +2088,1.0,3.0 +2089,0.0,4.0 +2090,1.0,1.0 +2091,2.0,7.0 +2092,2.0,5.0 +2093,2.0,9.0 +2094,0.0,0.0 +2095,0.0,5.0 +2096,2.0,3.0 +2097,2.0,4.0 +2098,1.0,5.0 +2099,2.0,5.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/370-peak+year_c.csv b/SurgeData/370-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/370-peak+year_c.csv rename to SurgeData/370-peak+year_c.csv diff --git a/SurgeData/N=1000/370-peak+year_w.csv b/SurgeData/370-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/370-peak+year_w.csv rename to SurgeData/370-peak+year_w.csv diff --git a/SurgeData/N=1000/370-peak_c.csv b/SurgeData/370-peak_c.csv similarity index 100% rename from SurgeData/N=1000/370-peak_c.csv rename to SurgeData/370-peak_c.csv diff --git a/SurgeData/N=1000/370-peak_w.csv b/SurgeData/370-peak_w.csv similarity index 100% rename from SurgeData/N=1000/370-peak_w.csv rename to SurgeData/370-peak_w.csv diff --git a/SurgeData/N=1000/370-surge_c.csv b/SurgeData/370-surge_c.csv similarity index 100% rename from SurgeData/N=1000/370-surge_c.csv rename to SurgeData/370-surge_c.csv diff --git a/SurgeData/N=1000/370-surge_w.csv b/SurgeData/370-surge_w.csv similarity index 100% rename from SurgeData/N=1000/370-surge_w.csv rename to SurgeData/370-surge_w.csv diff --git a/SurgeData/N=1000/370-time_c.csv b/SurgeData/370-time_c.csv similarity index 100% rename from SurgeData/N=1000/370-time_c.csv rename to SurgeData/370-time_c.csv diff --git a/SurgeData/N=1000/370-time_w.csv b/SurgeData/370-time_w.csv similarity index 100% rename from SurgeData/N=1000/370-time_w.csv rename to SurgeData/370-time_w.csv diff --git a/SurgeData/N=1000/370-waterlevel_c.csv b/SurgeData/370-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/370-waterlevel_c.csv rename to SurgeData/370-waterlevel_c.csv diff --git a/SurgeData/N=1000/370-waterlevel_w.csv b/SurgeData/370-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/370-waterlevel_w.csv rename to SurgeData/370-waterlevel_w.csv diff --git a/SurgeData/N=1000/371-peak+year_c.csv b/SurgeData/371-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/371-peak+year_c.csv rename to SurgeData/371-peak+year_c.csv diff --git a/SurgeData/N=1000/371-peak+year_w.csv b/SurgeData/371-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/371-peak+year_w.csv rename to SurgeData/371-peak+year_w.csv diff --git a/SurgeData/N=1000/371-peak_c.csv b/SurgeData/371-peak_c.csv similarity index 100% rename from SurgeData/N=1000/371-peak_c.csv rename to SurgeData/371-peak_c.csv diff --git a/SurgeData/N=1000/371-peak_w.csv b/SurgeData/371-peak_w.csv similarity index 100% rename from SurgeData/N=1000/371-peak_w.csv rename to SurgeData/371-peak_w.csv diff --git a/SurgeData/N=1000/371-surge_c.csv b/SurgeData/371-surge_c.csv similarity index 100% rename from SurgeData/N=1000/371-surge_c.csv rename to SurgeData/371-surge_c.csv diff --git a/SurgeData/N=1000/371-surge_w.csv b/SurgeData/371-surge_w.csv similarity index 100% rename from SurgeData/N=1000/371-surge_w.csv rename to SurgeData/371-surge_w.csv diff --git a/SurgeData/N=1000/371-time_c.csv b/SurgeData/371-time_c.csv similarity index 100% rename from SurgeData/N=1000/371-time_c.csv rename to SurgeData/371-time_c.csv diff --git a/SurgeData/N=1000/371-time_w.csv b/SurgeData/371-time_w.csv similarity index 100% rename from SurgeData/N=1000/371-time_w.csv rename to SurgeData/371-time_w.csv diff --git a/SurgeData/N=1000/371-waterlevel_c.csv b/SurgeData/371-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/371-waterlevel_c.csv rename to SurgeData/371-waterlevel_c.csv diff --git a/SurgeData/N=1000/371-waterlevel_w.csv b/SurgeData/371-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/371-waterlevel_w.csv rename to SurgeData/371-waterlevel_w.csv diff --git a/SurgeData/372-num_storm.csv b/SurgeData/372-num_storm.csv new file mode 100644 index 00000000..24d3d516 --- /dev/null +++ b/SurgeData/372-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,2.0,3.0 +2022,1.0,4.0 +2023,2.0,9.0 +2024,1.0,2.0 +2025,1.0,5.0 +2026,3.0,5.0 +2027,2.0,4.0 +2028,4.0,2.0 +2029,1.0,7.0 +2030,0.0,5.0 +2031,3.0,2.0 +2032,1.0,2.0 +2033,3.0,1.0 +2034,1.0,4.0 +2035,4.0,3.0 +2036,2.0,7.0 +2037,1.0,2.0 +2038,2.0,6.0 +2039,1.0,6.0 +2040,2.0,2.0 +2041,0.0,2.0 +2042,1.0,6.0 +2043,3.0,3.0 +2044,1.0,3.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,1.0,6.0 +2048,0.0,9.0 +2049,1.0,0.0 +2050,2.0,9.0 +2051,2.0,1.0 +2052,0.0,3.0 +2053,1.0,1.0 +2054,0.0,0.0 +2055,2.0,3.0 +2056,2.0,4.0 +2057,1.0,4.0 +2058,2.0,3.0 +2059,1.0,3.0 +2060,1.0,3.0 +2061,1.0,3.0 +2062,2.0,2.0 +2063,2.0,4.0 +2064,0.0,4.0 +2065,2.0,6.0 +2066,2.0,3.0 +2067,4.0,6.0 +2068,2.0,4.0 +2069,1.0,3.0 +2070,3.0,6.0 +2071,1.0,7.0 +2072,3.0,5.0 +2073,0.0,4.0 +2074,1.0,5.0 +2075,0.0,2.0 +2076,3.0,2.0 +2077,1.0,1.0 +2078,0.0,5.0 +2079,1.0,3.0 +2080,3.0,6.0 +2081,3.0,5.0 +2082,1.0,5.0 +2083,2.0,3.0 +2084,2.0,4.0 +2085,0.0,4.0 +2086,2.0,3.0 +2087,2.0,6.0 +2088,4.0,4.0 +2089,1.0,4.0 +2090,2.0,2.0 +2091,2.0,3.0 +2092,0.0,5.0 +2093,1.0,5.0 +2094,1.0,4.0 +2095,0.0,5.0 +2096,3.0,4.0 +2097,2.0,6.0 +2098,1.0,4.0 +2099,2.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/372-peak+year_c.csv b/SurgeData/372-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/372-peak+year_c.csv rename to SurgeData/372-peak+year_c.csv diff --git a/SurgeData/N=1000/372-peak+year_w.csv b/SurgeData/372-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/372-peak+year_w.csv rename to SurgeData/372-peak+year_w.csv diff --git a/SurgeData/N=1000/372-peak_c.csv b/SurgeData/372-peak_c.csv similarity index 100% rename from SurgeData/N=1000/372-peak_c.csv rename to SurgeData/372-peak_c.csv diff --git a/SurgeData/N=1000/372-peak_w.csv b/SurgeData/372-peak_w.csv similarity index 100% rename from SurgeData/N=1000/372-peak_w.csv rename to SurgeData/372-peak_w.csv diff --git a/SurgeData/N=1000/372-surge_c.csv b/SurgeData/372-surge_c.csv similarity index 100% rename from SurgeData/N=1000/372-surge_c.csv rename to SurgeData/372-surge_c.csv diff --git a/SurgeData/N=1000/372-surge_w.csv b/SurgeData/372-surge_w.csv similarity index 100% rename from SurgeData/N=1000/372-surge_w.csv rename to SurgeData/372-surge_w.csv diff --git a/SurgeData/N=1000/372-time_c.csv b/SurgeData/372-time_c.csv similarity index 100% rename from SurgeData/N=1000/372-time_c.csv rename to SurgeData/372-time_c.csv diff --git a/SurgeData/N=1000/372-time_w.csv b/SurgeData/372-time_w.csv similarity index 100% rename from SurgeData/N=1000/372-time_w.csv rename to SurgeData/372-time_w.csv diff --git a/SurgeData/N=1000/372-waterlevel_c.csv b/SurgeData/372-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/372-waterlevel_c.csv rename to SurgeData/372-waterlevel_c.csv diff --git a/SurgeData/N=1000/372-waterlevel_w.csv b/SurgeData/372-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/372-waterlevel_w.csv rename to SurgeData/372-waterlevel_w.csv diff --git a/SurgeData/373-num_storm.csv b/SurgeData/373-num_storm.csv new file mode 100644 index 00000000..f0790dcd --- /dev/null +++ b/SurgeData/373-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,7.0,1.0 +2021,1.0,5.0 +2022,1.0,4.0 +2023,0.0,5.0 +2024,0.0,0.0 +2025,3.0,7.0 +2026,0.0,4.0 +2027,1.0,3.0 +2028,0.0,6.0 +2029,2.0,2.0 +2030,3.0,1.0 +2031,2.0,5.0 +2032,1.0,5.0 +2033,1.0,3.0 +2034,2.0,3.0 +2035,1.0,0.0 +2036,1.0,3.0 +2037,0.0,0.0 +2038,2.0,5.0 +2039,1.0,4.0 +2040,1.0,4.0 +2041,1.0,7.0 +2042,4.0,2.0 +2043,2.0,2.0 +2044,4.0,8.0 +2045,2.0,3.0 +2046,1.0,7.0 +2047,1.0,0.0 +2048,1.0,6.0 +2049,1.0,5.0 +2050,1.0,5.0 +2051,1.0,0.0 +2052,3.0,1.0 +2053,2.0,2.0 +2054,1.0,2.0 +2055,1.0,6.0 +2056,2.0,3.0 +2057,2.0,7.0 +2058,2.0,3.0 +2059,1.0,1.0 +2060,3.0,3.0 +2061,2.0,1.0 +2062,2.0,5.0 +2063,2.0,3.0 +2064,0.0,5.0 +2065,1.0,7.0 +2066,1.0,2.0 +2067,2.0,5.0 +2068,1.0,7.0 +2069,0.0,5.0 +2070,2.0,4.0 +2071,2.0,3.0 +2072,0.0,2.0 +2073,1.0,6.0 +2074,3.0,4.0 +2075,1.0,3.0 +2076,0.0,5.0 +2077,1.0,3.0 +2078,2.0,1.0 +2079,2.0,1.0 +2080,2.0,1.0 +2081,4.0,4.0 +2082,2.0,7.0 +2083,2.0,4.0 +2084,3.0,7.0 +2085,2.0,3.0 +2086,0.0,3.0 +2087,0.0,5.0 +2088,1.0,2.0 +2089,0.0,6.0 +2090,1.0,5.0 +2091,2.0,5.0 +2092,1.0,8.0 +2093,1.0,6.0 +2094,2.0,1.0 +2095,1.0,4.0 +2096,3.0,3.0 +2097,1.0,4.0 +2098,1.0,7.0 +2099,2.0,6.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/373-peak+year_c.csv b/SurgeData/373-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/373-peak+year_c.csv rename to SurgeData/373-peak+year_c.csv diff --git a/SurgeData/N=1000/373-peak+year_w.csv b/SurgeData/373-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/373-peak+year_w.csv rename to SurgeData/373-peak+year_w.csv diff --git a/SurgeData/N=1000/373-peak_c.csv b/SurgeData/373-peak_c.csv similarity index 100% rename from SurgeData/N=1000/373-peak_c.csv rename to SurgeData/373-peak_c.csv diff --git a/SurgeData/N=1000/373-peak_w.csv b/SurgeData/373-peak_w.csv similarity index 100% rename from SurgeData/N=1000/373-peak_w.csv rename to SurgeData/373-peak_w.csv diff --git a/SurgeData/N=1000/373-surge_c.csv b/SurgeData/373-surge_c.csv similarity index 100% rename from SurgeData/N=1000/373-surge_c.csv rename to SurgeData/373-surge_c.csv diff --git a/SurgeData/N=1000/373-surge_w.csv b/SurgeData/373-surge_w.csv similarity index 100% rename from SurgeData/N=1000/373-surge_w.csv rename to SurgeData/373-surge_w.csv diff --git a/SurgeData/N=1000/373-time_c.csv b/SurgeData/373-time_c.csv similarity index 100% rename from SurgeData/N=1000/373-time_c.csv rename to SurgeData/373-time_c.csv diff --git a/SurgeData/N=1000/373-time_w.csv b/SurgeData/373-time_w.csv similarity index 100% rename from SurgeData/N=1000/373-time_w.csv rename to SurgeData/373-time_w.csv diff --git a/SurgeData/N=1000/373-waterlevel_c.csv b/SurgeData/373-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/373-waterlevel_c.csv rename to SurgeData/373-waterlevel_c.csv diff --git a/SurgeData/N=1000/373-waterlevel_w.csv b/SurgeData/373-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/373-waterlevel_w.csv rename to SurgeData/373-waterlevel_w.csv diff --git a/SurgeData/N=1000/374-peak+year_c.csv b/SurgeData/374-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/374-peak+year_c.csv rename to SurgeData/374-peak+year_c.csv diff --git a/SurgeData/N=1000/374-peak+year_w.csv b/SurgeData/374-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/374-peak+year_w.csv rename to SurgeData/374-peak+year_w.csv diff --git a/SurgeData/N=1000/374-peak_c.csv b/SurgeData/374-peak_c.csv similarity index 100% rename from SurgeData/N=1000/374-peak_c.csv rename to SurgeData/374-peak_c.csv diff --git a/SurgeData/N=1000/374-peak_w.csv b/SurgeData/374-peak_w.csv similarity index 100% rename from SurgeData/N=1000/374-peak_w.csv rename to SurgeData/374-peak_w.csv diff --git a/SurgeData/N=1000/374-surge_c.csv b/SurgeData/374-surge_c.csv similarity index 100% rename from SurgeData/N=1000/374-surge_c.csv rename to SurgeData/374-surge_c.csv diff --git a/SurgeData/N=1000/374-surge_w.csv b/SurgeData/374-surge_w.csv similarity index 100% rename from SurgeData/N=1000/374-surge_w.csv rename to SurgeData/374-surge_w.csv diff --git a/SurgeData/N=1000/374-time_c.csv b/SurgeData/374-time_c.csv similarity index 100% rename from SurgeData/N=1000/374-time_c.csv rename to SurgeData/374-time_c.csv diff --git a/SurgeData/N=1000/374-time_w.csv b/SurgeData/374-time_w.csv similarity index 100% rename from SurgeData/N=1000/374-time_w.csv rename to SurgeData/374-time_w.csv diff --git a/SurgeData/N=1000/374-waterlevel_c.csv b/SurgeData/374-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/374-waterlevel_c.csv rename to SurgeData/374-waterlevel_c.csv diff --git a/SurgeData/N=1000/374-waterlevel_w.csv b/SurgeData/374-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/374-waterlevel_w.csv rename to SurgeData/374-waterlevel_w.csv diff --git a/SurgeData/375-num_storm.csv b/SurgeData/375-num_storm.csv new file mode 100644 index 00000000..ec884cf6 --- /dev/null +++ b/SurgeData/375-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,2.0 +2022,0.0,7.0 +2023,1.0,8.0 +2024,2.0,3.0 +2025,1.0,2.0 +2026,0.0,5.0 +2027,3.0,3.0 +2028,0.0,3.0 +2029,2.0,1.0 +2030,2.0,6.0 +2031,0.0,1.0 +2032,4.0,4.0 +2033,0.0,3.0 +2034,2.0,2.0 +2035,2.0,4.0 +2036,0.0,3.0 +2037,1.0,6.0 +2038,5.0,5.0 +2039,2.0,5.0 +2040,0.0,5.0 +2041,1.0,6.0 +2042,1.0,4.0 +2043,3.0,4.0 +2044,2.0,3.0 +2045,3.0,4.0 +2046,0.0,4.0 +2047,0.0,7.0 +2048,3.0,7.0 +2049,2.0,4.0 +2050,1.0,6.0 +2051,0.0,4.0 +2052,0.0,2.0 +2053,1.0,2.0 +2054,0.0,4.0 +2055,4.0,6.0 +2056,2.0,1.0 +2057,2.0,2.0 +2058,1.0,1.0 +2059,1.0,5.0 +2060,2.0,8.0 +2061,3.0,3.0 +2062,1.0,1.0 +2063,1.0,5.0 +2064,2.0,1.0 +2065,2.0,6.0 +2066,2.0,4.0 +2067,1.0,6.0 +2068,2.0,8.0 +2069,1.0,4.0 +2070,3.0,2.0 +2071,2.0,4.0 +2072,2.0,2.0 +2073,2.0,1.0 +2074,1.0,6.0 +2075,2.0,1.0 +2076,1.0,3.0 +2077,5.0,2.0 +2078,2.0,3.0 +2079,1.0,5.0 +2080,3.0,4.0 +2081,0.0,7.0 +2082,2.0,6.0 +2083,2.0,5.0 +2084,0.0,4.0 +2085,0.0,2.0 +2086,3.0,2.0 +2087,3.0,2.0 +2088,1.0,6.0 +2089,1.0,3.0 +2090,0.0,2.0 +2091,0.0,2.0 +2092,2.0,5.0 +2093,2.0,1.0 +2094,1.0,2.0 +2095,3.0,3.0 +2096,1.0,5.0 +2097,0.0,6.0 +2098,0.0,5.0 +2099,0.0,4.0 +2100,4.0,2.0 diff --git a/SurgeData/N=1000/375-peak+year_c.csv b/SurgeData/375-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/375-peak+year_c.csv rename to SurgeData/375-peak+year_c.csv diff --git a/SurgeData/N=1000/375-peak+year_w.csv b/SurgeData/375-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/375-peak+year_w.csv rename to SurgeData/375-peak+year_w.csv diff --git a/SurgeData/N=1000/375-peak_c.csv b/SurgeData/375-peak_c.csv similarity index 100% rename from SurgeData/N=1000/375-peak_c.csv rename to SurgeData/375-peak_c.csv diff --git a/SurgeData/N=1000/375-peak_w.csv b/SurgeData/375-peak_w.csv similarity index 100% rename from SurgeData/N=1000/375-peak_w.csv rename to SurgeData/375-peak_w.csv diff --git a/SurgeData/N=1000/375-surge_c.csv b/SurgeData/375-surge_c.csv similarity index 100% rename from SurgeData/N=1000/375-surge_c.csv rename to SurgeData/375-surge_c.csv diff --git a/SurgeData/N=1000/375-surge_w.csv b/SurgeData/375-surge_w.csv similarity index 100% rename from SurgeData/N=1000/375-surge_w.csv rename to SurgeData/375-surge_w.csv diff --git a/SurgeData/N=1000/375-time_c.csv b/SurgeData/375-time_c.csv similarity index 100% rename from SurgeData/N=1000/375-time_c.csv rename to SurgeData/375-time_c.csv diff --git a/SurgeData/N=1000/375-time_w.csv b/SurgeData/375-time_w.csv similarity index 100% rename from SurgeData/N=1000/375-time_w.csv rename to SurgeData/375-time_w.csv diff --git a/SurgeData/N=1000/375-waterlevel_c.csv b/SurgeData/375-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/375-waterlevel_c.csv rename to SurgeData/375-waterlevel_c.csv diff --git a/SurgeData/N=1000/375-waterlevel_w.csv b/SurgeData/375-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/375-waterlevel_w.csv rename to SurgeData/375-waterlevel_w.csv diff --git a/SurgeData/376-num_storm.csv b/SurgeData/376-num_storm.csv new file mode 100644 index 00000000..49f5aa06 --- /dev/null +++ b/SurgeData/376-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,7.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,0.0,1.0 +2025,2.0,2.0 +2026,2.0,5.0 +2027,2.0,1.0 +2028,1.0,5.0 +2029,1.0,5.0 +2030,1.0,2.0 +2031,0.0,3.0 +2032,2.0,4.0 +2033,3.0,1.0 +2034,2.0,5.0 +2035,0.0,2.0 +2036,2.0,6.0 +2037,0.0,3.0 +2038,3.0,2.0 +2039,3.0,8.0 +2040,2.0,3.0 +2041,1.0,5.0 +2042,0.0,3.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,2.0,5.0 +2046,0.0,7.0 +2047,3.0,1.0 +2048,1.0,2.0 +2049,3.0,4.0 +2050,1.0,3.0 +2051,3.0,4.0 +2052,1.0,10.0 +2053,1.0,3.0 +2054,0.0,6.0 +2055,3.0,2.0 +2056,0.0,3.0 +2057,4.0,2.0 +2058,3.0,4.0 +2059,1.0,3.0 +2060,1.0,2.0 +2061,3.0,7.0 +2062,0.0,7.0 +2063,1.0,7.0 +2064,2.0,3.0 +2065,1.0,2.0 +2066,2.0,6.0 +2067,0.0,4.0 +2068,5.0,2.0 +2069,0.0,7.0 +2070,1.0,5.0 +2071,1.0,4.0 +2072,1.0,4.0 +2073,2.0,2.0 +2074,2.0,4.0 +2075,1.0,6.0 +2076,0.0,4.0 +2077,5.0,2.0 +2078,3.0,1.0 +2079,2.0,3.0 +2080,4.0,4.0 +2081,3.0,1.0 +2082,1.0,4.0 +2083,0.0,11.0 +2084,2.0,1.0 +2085,2.0,6.0 +2086,1.0,6.0 +2087,1.0,3.0 +2088,0.0,8.0 +2089,3.0,6.0 +2090,1.0,4.0 +2091,0.0,2.0 +2092,2.0,6.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,0.0,3.0 +2096,1.0,9.0 +2097,1.0,1.0 +2098,1.0,1.0 +2099,1.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/376-peak+year_c.csv b/SurgeData/376-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/376-peak+year_c.csv rename to SurgeData/376-peak+year_c.csv diff --git a/SurgeData/N=1000/376-peak+year_w.csv b/SurgeData/376-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/376-peak+year_w.csv rename to SurgeData/376-peak+year_w.csv diff --git a/SurgeData/N=1000/376-peak_c.csv b/SurgeData/376-peak_c.csv similarity index 100% rename from SurgeData/N=1000/376-peak_c.csv rename to SurgeData/376-peak_c.csv diff --git a/SurgeData/N=1000/376-peak_w.csv b/SurgeData/376-peak_w.csv similarity index 100% rename from SurgeData/N=1000/376-peak_w.csv rename to SurgeData/376-peak_w.csv diff --git a/SurgeData/N=1000/376-surge_c.csv b/SurgeData/376-surge_c.csv similarity index 100% rename from SurgeData/N=1000/376-surge_c.csv rename to SurgeData/376-surge_c.csv diff --git a/SurgeData/N=1000/376-surge_w.csv b/SurgeData/376-surge_w.csv similarity index 100% rename from SurgeData/N=1000/376-surge_w.csv rename to SurgeData/376-surge_w.csv diff --git a/SurgeData/N=1000/376-time_c.csv b/SurgeData/376-time_c.csv similarity index 100% rename from SurgeData/N=1000/376-time_c.csv rename to SurgeData/376-time_c.csv diff --git a/SurgeData/N=1000/376-time_w.csv b/SurgeData/376-time_w.csv similarity index 100% rename from SurgeData/N=1000/376-time_w.csv rename to SurgeData/376-time_w.csv diff --git a/SurgeData/N=1000/376-waterlevel_c.csv b/SurgeData/376-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/376-waterlevel_c.csv rename to SurgeData/376-waterlevel_c.csv diff --git a/SurgeData/N=1000/376-waterlevel_w.csv b/SurgeData/376-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/376-waterlevel_w.csv rename to SurgeData/376-waterlevel_w.csv diff --git a/SurgeData/377-num_storm.csv b/SurgeData/377-num_storm.csv new file mode 100644 index 00000000..3884a77a --- /dev/null +++ b/SurgeData/377-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,5.0 +2022,2.0,1.0 +2023,2.0,4.0 +2024,0.0,2.0 +2025,2.0,2.0 +2026,0.0,3.0 +2027,3.0,1.0 +2028,5.0,5.0 +2029,0.0,1.0 +2030,0.0,4.0 +2031,2.0,6.0 +2032,1.0,6.0 +2033,1.0,5.0 +2034,0.0,5.0 +2035,4.0,9.0 +2036,0.0,3.0 +2037,3.0,4.0 +2038,0.0,3.0 +2039,4.0,4.0 +2040,2.0,10.0 +2041,0.0,4.0 +2042,3.0,6.0 +2043,1.0,3.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,1.0,3.0 +2047,1.0,4.0 +2048,4.0,7.0 +2049,0.0,1.0 +2050,2.0,3.0 +2051,2.0,5.0 +2052,0.0,9.0 +2053,0.0,3.0 +2054,1.0,4.0 +2055,3.0,3.0 +2056,0.0,3.0 +2057,0.0,3.0 +2058,4.0,5.0 +2059,2.0,2.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,1.0,8.0 +2063,1.0,1.0 +2064,0.0,3.0 +2065,4.0,4.0 +2066,2.0,3.0 +2067,3.0,3.0 +2068,0.0,4.0 +2069,1.0,5.0 +2070,2.0,3.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,0.0,5.0 +2074,3.0,3.0 +2075,2.0,7.0 +2076,1.0,1.0 +2077,1.0,6.0 +2078,2.0,5.0 +2079,3.0,5.0 +2080,1.0,6.0 +2081,1.0,5.0 +2082,3.0,4.0 +2083,0.0,5.0 +2084,5.0,6.0 +2085,3.0,2.0 +2086,1.0,5.0 +2087,1.0,4.0 +2088,0.0,4.0 +2089,0.0,1.0 +2090,0.0,7.0 +2091,0.0,5.0 +2092,3.0,2.0 +2093,2.0,4.0 +2094,0.0,2.0 +2095,0.0,5.0 +2096,2.0,2.0 +2097,1.0,6.0 +2098,1.0,7.0 +2099,1.0,3.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/377-peak+year_c.csv b/SurgeData/377-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/377-peak+year_c.csv rename to SurgeData/377-peak+year_c.csv diff --git a/SurgeData/N=1000/377-peak+year_w.csv b/SurgeData/377-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/377-peak+year_w.csv rename to SurgeData/377-peak+year_w.csv diff --git a/SurgeData/N=1000/377-peak_c.csv b/SurgeData/377-peak_c.csv similarity index 100% rename from SurgeData/N=1000/377-peak_c.csv rename to SurgeData/377-peak_c.csv diff --git a/SurgeData/N=1000/377-peak_w.csv b/SurgeData/377-peak_w.csv similarity index 100% rename from SurgeData/N=1000/377-peak_w.csv rename to SurgeData/377-peak_w.csv diff --git a/SurgeData/N=1000/377-surge_c.csv b/SurgeData/377-surge_c.csv similarity index 100% rename from SurgeData/N=1000/377-surge_c.csv rename to SurgeData/377-surge_c.csv diff --git a/SurgeData/N=1000/377-surge_w.csv b/SurgeData/377-surge_w.csv similarity index 100% rename from SurgeData/N=1000/377-surge_w.csv rename to SurgeData/377-surge_w.csv diff --git a/SurgeData/N=1000/377-time_c.csv b/SurgeData/377-time_c.csv similarity index 100% rename from SurgeData/N=1000/377-time_c.csv rename to SurgeData/377-time_c.csv diff --git a/SurgeData/N=1000/377-time_w.csv b/SurgeData/377-time_w.csv similarity index 100% rename from SurgeData/N=1000/377-time_w.csv rename to SurgeData/377-time_w.csv diff --git a/SurgeData/N=1000/377-waterlevel_c.csv b/SurgeData/377-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/377-waterlevel_c.csv rename to SurgeData/377-waterlevel_c.csv diff --git a/SurgeData/N=1000/377-waterlevel_w.csv b/SurgeData/377-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/377-waterlevel_w.csv rename to SurgeData/377-waterlevel_w.csv diff --git a/SurgeData/378-num_storm.csv b/SurgeData/378-num_storm.csv new file mode 100644 index 00000000..c06f0df3 --- /dev/null +++ b/SurgeData/378-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,1.0,2.0 +2022,1.0,1.0 +2023,0.0,4.0 +2024,1.0,8.0 +2025,3.0,1.0 +2026,1.0,2.0 +2027,1.0,5.0 +2028,1.0,1.0 +2029,1.0,10.0 +2030,0.0,2.0 +2031,0.0,3.0 +2032,0.0,4.0 +2033,3.0,1.0 +2034,2.0,4.0 +2035,1.0,6.0 +2036,2.0,1.0 +2037,4.0,4.0 +2038,2.0,4.0 +2039,2.0,6.0 +2040,2.0,3.0 +2041,3.0,5.0 +2042,1.0,3.0 +2043,1.0,6.0 +2044,0.0,3.0 +2045,3.0,5.0 +2046,2.0,5.0 +2047,2.0,3.0 +2048,0.0,3.0 +2049,1.0,1.0 +2050,1.0,3.0 +2051,0.0,3.0 +2052,0.0,6.0 +2053,0.0,5.0 +2054,1.0,8.0 +2055,2.0,4.0 +2056,1.0,2.0 +2057,2.0,3.0 +2058,1.0,4.0 +2059,2.0,2.0 +2060,4.0,3.0 +2061,1.0,4.0 +2062,1.0,1.0 +2063,1.0,4.0 +2064,2.0,4.0 +2065,4.0,4.0 +2066,2.0,3.0 +2067,3.0,3.0 +2068,1.0,6.0 +2069,0.0,3.0 +2070,2.0,5.0 +2071,2.0,4.0 +2072,3.0,4.0 +2073,1.0,8.0 +2074,2.0,3.0 +2075,1.0,8.0 +2076,0.0,3.0 +2077,2.0,2.0 +2078,1.0,3.0 +2079,2.0,8.0 +2080,1.0,2.0 +2081,2.0,3.0 +2082,3.0,5.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,3.0,2.0 +2086,1.0,3.0 +2087,3.0,2.0 +2088,0.0,2.0 +2089,2.0,3.0 +2090,2.0,2.0 +2091,1.0,8.0 +2092,0.0,3.0 +2093,1.0,3.0 +2094,0.0,5.0 +2095,2.0,4.0 +2096,0.0,10.0 +2097,1.0,3.0 +2098,2.0,2.0 +2099,0.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/378-peak+year_c.csv b/SurgeData/378-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/378-peak+year_c.csv rename to SurgeData/378-peak+year_c.csv diff --git a/SurgeData/N=1000/378-peak+year_w.csv b/SurgeData/378-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/378-peak+year_w.csv rename to SurgeData/378-peak+year_w.csv diff --git a/SurgeData/N=1000/378-peak_c.csv b/SurgeData/378-peak_c.csv similarity index 100% rename from SurgeData/N=1000/378-peak_c.csv rename to SurgeData/378-peak_c.csv diff --git a/SurgeData/N=1000/378-peak_w.csv b/SurgeData/378-peak_w.csv similarity index 100% rename from SurgeData/N=1000/378-peak_w.csv rename to SurgeData/378-peak_w.csv diff --git a/SurgeData/N=1000/378-surge_c.csv b/SurgeData/378-surge_c.csv similarity index 100% rename from SurgeData/N=1000/378-surge_c.csv rename to SurgeData/378-surge_c.csv diff --git a/SurgeData/N=1000/378-surge_w.csv b/SurgeData/378-surge_w.csv similarity index 100% rename from SurgeData/N=1000/378-surge_w.csv rename to SurgeData/378-surge_w.csv diff --git a/SurgeData/N=1000/378-time_c.csv b/SurgeData/378-time_c.csv similarity index 100% rename from SurgeData/N=1000/378-time_c.csv rename to SurgeData/378-time_c.csv diff --git a/SurgeData/N=1000/378-time_w.csv b/SurgeData/378-time_w.csv similarity index 100% rename from SurgeData/N=1000/378-time_w.csv rename to SurgeData/378-time_w.csv diff --git a/SurgeData/N=1000/378-waterlevel_c.csv b/SurgeData/378-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/378-waterlevel_c.csv rename to SurgeData/378-waterlevel_c.csv diff --git a/SurgeData/N=1000/378-waterlevel_w.csv b/SurgeData/378-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/378-waterlevel_w.csv rename to SurgeData/378-waterlevel_w.csv diff --git a/SurgeData/N=1000/379-peak+year_c.csv b/SurgeData/379-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/379-peak+year_c.csv rename to SurgeData/379-peak+year_c.csv diff --git a/SurgeData/N=1000/379-peak+year_w.csv b/SurgeData/379-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/379-peak+year_w.csv rename to SurgeData/379-peak+year_w.csv diff --git a/SurgeData/N=1000/379-peak_c.csv b/SurgeData/379-peak_c.csv similarity index 100% rename from SurgeData/N=1000/379-peak_c.csv rename to SurgeData/379-peak_c.csv diff --git a/SurgeData/N=1000/379-peak_w.csv b/SurgeData/379-peak_w.csv similarity index 100% rename from SurgeData/N=1000/379-peak_w.csv rename to SurgeData/379-peak_w.csv diff --git a/SurgeData/N=1000/379-surge_c.csv b/SurgeData/379-surge_c.csv similarity index 100% rename from SurgeData/N=1000/379-surge_c.csv rename to SurgeData/379-surge_c.csv diff --git a/SurgeData/N=1000/379-surge_w.csv b/SurgeData/379-surge_w.csv similarity index 100% rename from SurgeData/N=1000/379-surge_w.csv rename to SurgeData/379-surge_w.csv diff --git a/SurgeData/N=1000/379-time_c.csv b/SurgeData/379-time_c.csv similarity index 100% rename from SurgeData/N=1000/379-time_c.csv rename to SurgeData/379-time_c.csv diff --git a/SurgeData/N=1000/379-time_w.csv b/SurgeData/379-time_w.csv similarity index 100% rename from SurgeData/N=1000/379-time_w.csv rename to SurgeData/379-time_w.csv diff --git a/SurgeData/N=1000/379-waterlevel_c.csv b/SurgeData/379-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/379-waterlevel_c.csv rename to SurgeData/379-waterlevel_c.csv diff --git a/SurgeData/N=1000/379-waterlevel_w.csv b/SurgeData/379-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/379-waterlevel_w.csv rename to SurgeData/379-waterlevel_w.csv diff --git a/SurgeData/38-num_storm.csv b/SurgeData/38-num_storm.csv new file mode 100644 index 00000000..68aaa93a --- /dev/null +++ b/SurgeData/38-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,6.0 +2022,0.0,2.0 +2023,2.0,2.0 +2024,1.0,3.0 +2025,0.0,4.0 +2026,1.0,4.0 +2027,1.0,7.0 +2028,0.0,2.0 +2029,1.0,4.0 +2030,2.0,5.0 +2031,3.0,4.0 +2032,3.0,5.0 +2033,0.0,3.0 +2034,1.0,4.0 +2035,2.0,4.0 +2036,0.0,6.0 +2037,1.0,6.0 +2038,4.0,5.0 +2039,1.0,2.0 +2040,0.0,5.0 +2041,2.0,7.0 +2042,3.0,6.0 +2043,0.0,3.0 +2044,0.0,3.0 +2045,1.0,3.0 +2046,2.0,2.0 +2047,3.0,2.0 +2048,1.0,5.0 +2049,1.0,4.0 +2050,2.0,5.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,1.0,1.0 +2054,1.0,1.0 +2055,2.0,3.0 +2056,4.0,3.0 +2057,4.0,4.0 +2058,1.0,3.0 +2059,0.0,10.0 +2060,3.0,4.0 +2061,4.0,4.0 +2062,1.0,3.0 +2063,2.0,7.0 +2064,2.0,6.0 +2065,1.0,3.0 +2066,0.0,5.0 +2067,1.0,4.0 +2068,3.0,1.0 +2069,0.0,4.0 +2070,0.0,3.0 +2071,2.0,6.0 +2072,1.0,4.0 +2073,1.0,3.0 +2074,1.0,4.0 +2075,1.0,3.0 +2076,1.0,3.0 +2077,1.0,5.0 +2078,4.0,7.0 +2079,1.0,5.0 +2080,0.0,2.0 +2081,6.0,8.0 +2082,1.0,5.0 +2083,1.0,3.0 +2084,1.0,3.0 +2085,1.0,2.0 +2086,3.0,0.0 +2087,2.0,2.0 +2088,0.0,1.0 +2089,1.0,4.0 +2090,4.0,3.0 +2091,1.0,3.0 +2092,1.0,7.0 +2093,0.0,7.0 +2094,3.0,3.0 +2095,1.0,4.0 +2096,0.0,2.0 +2097,1.0,7.0 +2098,1.0,8.0 +2099,1.0,6.0 +2100,4.0,7.0 diff --git a/SurgeData/N=1000/38-peak+year_c.csv b/SurgeData/38-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/38-peak+year_c.csv rename to SurgeData/38-peak+year_c.csv diff --git a/SurgeData/N=1000/38-peak+year_w.csv b/SurgeData/38-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/38-peak+year_w.csv rename to SurgeData/38-peak+year_w.csv diff --git a/SurgeData/N=1000/38-peak_c.csv b/SurgeData/38-peak_c.csv similarity index 100% rename from SurgeData/N=1000/38-peak_c.csv rename to SurgeData/38-peak_c.csv diff --git a/SurgeData/N=1000/38-peak_w.csv b/SurgeData/38-peak_w.csv similarity index 100% rename from SurgeData/N=1000/38-peak_w.csv rename to SurgeData/38-peak_w.csv diff --git a/SurgeData/N=1000/38-surge_c.csv b/SurgeData/38-surge_c.csv similarity index 100% rename from SurgeData/N=1000/38-surge_c.csv rename to SurgeData/38-surge_c.csv diff --git a/SurgeData/N=1000/38-surge_w.csv b/SurgeData/38-surge_w.csv similarity index 100% rename from SurgeData/N=1000/38-surge_w.csv rename to SurgeData/38-surge_w.csv diff --git a/SurgeData/N=1000/38-time_c.csv b/SurgeData/38-time_c.csv similarity index 100% rename from SurgeData/N=1000/38-time_c.csv rename to SurgeData/38-time_c.csv diff --git a/SurgeData/N=1000/38-time_w.csv b/SurgeData/38-time_w.csv similarity index 100% rename from SurgeData/N=1000/38-time_w.csv rename to SurgeData/38-time_w.csv diff --git a/SurgeData/N=1000/38-waterlevel_c.csv b/SurgeData/38-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/38-waterlevel_c.csv rename to SurgeData/38-waterlevel_c.csv diff --git a/SurgeData/N=1000/38-waterlevel_w.csv b/SurgeData/38-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/38-waterlevel_w.csv rename to SurgeData/38-waterlevel_w.csv diff --git a/SurgeData/380-num_storm.csv b/SurgeData/380-num_storm.csv new file mode 100644 index 00000000..0cb336d1 --- /dev/null +++ b/SurgeData/380-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,3.0 +2022,0.0,8.0 +2023,0.0,3.0 +2024,2.0,4.0 +2025,0.0,4.0 +2026,1.0,3.0 +2027,0.0,7.0 +2028,2.0,2.0 +2029,0.0,2.0 +2030,0.0,4.0 +2031,1.0,5.0 +2032,4.0,2.0 +2033,2.0,0.0 +2034,1.0,2.0 +2035,2.0,2.0 +2036,3.0,5.0 +2037,2.0,7.0 +2038,1.0,2.0 +2039,1.0,3.0 +2040,3.0,4.0 +2041,2.0,8.0 +2042,1.0,3.0 +2043,1.0,6.0 +2044,0.0,4.0 +2045,3.0,4.0 +2046,3.0,3.0 +2047,4.0,2.0 +2048,1.0,3.0 +2049,0.0,6.0 +2050,1.0,4.0 +2051,0.0,4.0 +2052,0.0,11.0 +2053,1.0,3.0 +2054,3.0,4.0 +2055,1.0,5.0 +2056,1.0,2.0 +2057,2.0,2.0 +2058,4.0,2.0 +2059,1.0,7.0 +2060,3.0,1.0 +2061,3.0,2.0 +2062,0.0,2.0 +2063,1.0,2.0 +2064,2.0,1.0 +2065,3.0,4.0 +2066,0.0,4.0 +2067,1.0,3.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,2.0,4.0 +2071,2.0,8.0 +2072,1.0,3.0 +2073,1.0,4.0 +2074,0.0,4.0 +2075,1.0,9.0 +2076,2.0,9.0 +2077,2.0,3.0 +2078,1.0,3.0 +2079,2.0,7.0 +2080,3.0,7.0 +2081,3.0,4.0 +2082,0.0,4.0 +2083,1.0,5.0 +2084,1.0,7.0 +2085,0.0,3.0 +2086,0.0,5.0 +2087,2.0,5.0 +2088,3.0,8.0 +2089,1.0,3.0 +2090,1.0,3.0 +2091,0.0,2.0 +2092,1.0,1.0 +2093,2.0,6.0 +2094,2.0,7.0 +2095,2.0,2.0 +2096,2.0,3.0 +2097,1.0,1.0 +2098,4.0,3.0 +2099,4.0,1.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/380-peak+year_c.csv b/SurgeData/380-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/380-peak+year_c.csv rename to SurgeData/380-peak+year_c.csv diff --git a/SurgeData/N=1000/380-peak+year_w.csv b/SurgeData/380-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/380-peak+year_w.csv rename to SurgeData/380-peak+year_w.csv diff --git a/SurgeData/N=1000/380-peak_c.csv b/SurgeData/380-peak_c.csv similarity index 100% rename from SurgeData/N=1000/380-peak_c.csv rename to SurgeData/380-peak_c.csv diff --git a/SurgeData/N=1000/380-peak_w.csv b/SurgeData/380-peak_w.csv similarity index 100% rename from SurgeData/N=1000/380-peak_w.csv rename to SurgeData/380-peak_w.csv diff --git a/SurgeData/N=1000/380-surge_c.csv b/SurgeData/380-surge_c.csv similarity index 100% rename from SurgeData/N=1000/380-surge_c.csv rename to SurgeData/380-surge_c.csv diff --git a/SurgeData/N=1000/380-surge_w.csv b/SurgeData/380-surge_w.csv similarity index 100% rename from SurgeData/N=1000/380-surge_w.csv rename to SurgeData/380-surge_w.csv diff --git a/SurgeData/N=1000/380-time_c.csv b/SurgeData/380-time_c.csv similarity index 100% rename from SurgeData/N=1000/380-time_c.csv rename to SurgeData/380-time_c.csv diff --git a/SurgeData/N=1000/380-time_w.csv b/SurgeData/380-time_w.csv similarity index 100% rename from SurgeData/N=1000/380-time_w.csv rename to SurgeData/380-time_w.csv diff --git a/SurgeData/N=1000/380-waterlevel_c.csv b/SurgeData/380-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/380-waterlevel_c.csv rename to SurgeData/380-waterlevel_c.csv diff --git a/SurgeData/N=1000/380-waterlevel_w.csv b/SurgeData/380-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/380-waterlevel_w.csv rename to SurgeData/380-waterlevel_w.csv diff --git a/SurgeData/381-num_storm.csv b/SurgeData/381-num_storm.csv new file mode 100644 index 00000000..d5e66108 --- /dev/null +++ b/SurgeData/381-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,5.0,4.0 +2022,5.0,3.0 +2023,0.0,2.0 +2024,2.0,6.0 +2025,2.0,3.0 +2026,3.0,3.0 +2027,2.0,2.0 +2028,5.0,3.0 +2029,1.0,5.0 +2030,1.0,6.0 +2031,2.0,2.0 +2032,4.0,4.0 +2033,0.0,3.0 +2034,0.0,7.0 +2035,1.0,1.0 +2036,0.0,4.0 +2037,0.0,5.0 +2038,0.0,3.0 +2039,1.0,4.0 +2040,0.0,7.0 +2041,2.0,5.0 +2042,1.0,1.0 +2043,0.0,5.0 +2044,0.0,3.0 +2045,2.0,3.0 +2046,2.0,5.0 +2047,1.0,1.0 +2048,1.0,1.0 +2049,1.0,6.0 +2050,2.0,2.0 +2051,1.0,4.0 +2052,0.0,3.0 +2053,1.0,5.0 +2054,0.0,5.0 +2055,1.0,4.0 +2056,1.0,2.0 +2057,4.0,3.0 +2058,1.0,2.0 +2059,3.0,6.0 +2060,2.0,1.0 +2061,1.0,2.0 +2062,0.0,3.0 +2063,0.0,1.0 +2064,1.0,4.0 +2065,0.0,5.0 +2066,0.0,5.0 +2067,1.0,10.0 +2068,1.0,0.0 +2069,2.0,3.0 +2070,2.0,4.0 +2071,5.0,3.0 +2072,3.0,3.0 +2073,3.0,6.0 +2074,0.0,0.0 +2075,2.0,5.0 +2076,1.0,2.0 +2077,2.0,4.0 +2078,0.0,8.0 +2079,1.0,2.0 +2080,0.0,2.0 +2081,3.0,4.0 +2082,2.0,1.0 +2083,0.0,6.0 +2084,3.0,2.0 +2085,0.0,0.0 +2086,4.0,6.0 +2087,1.0,1.0 +2088,1.0,4.0 +2089,1.0,4.0 +2090,2.0,3.0 +2091,1.0,4.0 +2092,1.0,3.0 +2093,1.0,5.0 +2094,2.0,7.0 +2095,0.0,9.0 +2096,0.0,3.0 +2097,3.0,6.0 +2098,1.0,4.0 +2099,0.0,3.0 +2100,4.0,5.0 diff --git a/SurgeData/N=1000/381-peak+year_c.csv b/SurgeData/381-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/381-peak+year_c.csv rename to SurgeData/381-peak+year_c.csv diff --git a/SurgeData/N=1000/381-peak+year_w.csv b/SurgeData/381-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/381-peak+year_w.csv rename to SurgeData/381-peak+year_w.csv diff --git a/SurgeData/N=1000/381-peak_c.csv b/SurgeData/381-peak_c.csv similarity index 100% rename from SurgeData/N=1000/381-peak_c.csv rename to SurgeData/381-peak_c.csv diff --git a/SurgeData/N=1000/381-peak_w.csv b/SurgeData/381-peak_w.csv similarity index 100% rename from SurgeData/N=1000/381-peak_w.csv rename to SurgeData/381-peak_w.csv diff --git a/SurgeData/N=1000/381-surge_c.csv b/SurgeData/381-surge_c.csv similarity index 100% rename from SurgeData/N=1000/381-surge_c.csv rename to SurgeData/381-surge_c.csv diff --git a/SurgeData/N=1000/381-surge_w.csv b/SurgeData/381-surge_w.csv similarity index 100% rename from SurgeData/N=1000/381-surge_w.csv rename to SurgeData/381-surge_w.csv diff --git a/SurgeData/N=1000/381-time_c.csv b/SurgeData/381-time_c.csv similarity index 100% rename from SurgeData/N=1000/381-time_c.csv rename to SurgeData/381-time_c.csv diff --git a/SurgeData/N=1000/381-time_w.csv b/SurgeData/381-time_w.csv similarity index 100% rename from SurgeData/N=1000/381-time_w.csv rename to SurgeData/381-time_w.csv diff --git a/SurgeData/N=1000/381-waterlevel_c.csv b/SurgeData/381-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/381-waterlevel_c.csv rename to SurgeData/381-waterlevel_c.csv diff --git a/SurgeData/N=1000/381-waterlevel_w.csv b/SurgeData/381-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/381-waterlevel_w.csv rename to SurgeData/381-waterlevel_w.csv diff --git a/SurgeData/382-num_storm.csv b/SurgeData/382-num_storm.csv new file mode 100644 index 00000000..590c8dae --- /dev/null +++ b/SurgeData/382-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,0.0,5.0 +2022,2.0,6.0 +2023,2.0,6.0 +2024,2.0,3.0 +2025,2.0,5.0 +2026,4.0,6.0 +2027,0.0,2.0 +2028,1.0,6.0 +2029,2.0,7.0 +2030,4.0,5.0 +2031,0.0,4.0 +2032,1.0,3.0 +2033,3.0,2.0 +2034,0.0,5.0 +2035,1.0,3.0 +2036,1.0,2.0 +2037,0.0,3.0 +2038,2.0,2.0 +2039,4.0,4.0 +2040,2.0,6.0 +2041,3.0,2.0 +2042,2.0,3.0 +2043,1.0,3.0 +2044,2.0,4.0 +2045,4.0,3.0 +2046,1.0,3.0 +2047,2.0,5.0 +2048,3.0,4.0 +2049,2.0,1.0 +2050,0.0,9.0 +2051,2.0,2.0 +2052,5.0,4.0 +2053,2.0,3.0 +2054,0.0,6.0 +2055,0.0,3.0 +2056,3.0,3.0 +2057,0.0,1.0 +2058,0.0,8.0 +2059,4.0,7.0 +2060,1.0,4.0 +2061,4.0,3.0 +2062,0.0,5.0 +2063,4.0,2.0 +2064,2.0,2.0 +2065,2.0,5.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,4.0,4.0 +2069,1.0,2.0 +2070,1.0,4.0 +2071,1.0,6.0 +2072,1.0,3.0 +2073,1.0,6.0 +2074,2.0,4.0 +2075,1.0,6.0 +2076,2.0,2.0 +2077,0.0,1.0 +2078,0.0,6.0 +2079,2.0,2.0 +2080,1.0,6.0 +2081,2.0,5.0 +2082,2.0,5.0 +2083,0.0,5.0 +2084,2.0,7.0 +2085,2.0,6.0 +2086,2.0,5.0 +2087,1.0,2.0 +2088,0.0,2.0 +2089,1.0,4.0 +2090,1.0,1.0 +2091,0.0,2.0 +2092,2.0,1.0 +2093,2.0,6.0 +2094,1.0,0.0 +2095,7.0,3.0 +2096,2.0,2.0 +2097,1.0,8.0 +2098,2.0,4.0 +2099,2.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/382-peak+year_c.csv b/SurgeData/382-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/382-peak+year_c.csv rename to SurgeData/382-peak+year_c.csv diff --git a/SurgeData/N=1000/382-peak+year_w.csv b/SurgeData/382-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/382-peak+year_w.csv rename to SurgeData/382-peak+year_w.csv diff --git a/SurgeData/N=1000/382-peak_c.csv b/SurgeData/382-peak_c.csv similarity index 100% rename from SurgeData/N=1000/382-peak_c.csv rename to SurgeData/382-peak_c.csv diff --git a/SurgeData/N=1000/382-peak_w.csv b/SurgeData/382-peak_w.csv similarity index 100% rename from SurgeData/N=1000/382-peak_w.csv rename to SurgeData/382-peak_w.csv diff --git a/SurgeData/N=1000/382-surge_c.csv b/SurgeData/382-surge_c.csv similarity index 100% rename from SurgeData/N=1000/382-surge_c.csv rename to SurgeData/382-surge_c.csv diff --git a/SurgeData/N=1000/382-surge_w.csv b/SurgeData/382-surge_w.csv similarity index 100% rename from SurgeData/N=1000/382-surge_w.csv rename to SurgeData/382-surge_w.csv diff --git a/SurgeData/N=1000/382-time_c.csv b/SurgeData/382-time_c.csv similarity index 100% rename from SurgeData/N=1000/382-time_c.csv rename to SurgeData/382-time_c.csv diff --git a/SurgeData/N=1000/382-time_w.csv b/SurgeData/382-time_w.csv similarity index 100% rename from SurgeData/N=1000/382-time_w.csv rename to SurgeData/382-time_w.csv diff --git a/SurgeData/N=1000/382-waterlevel_c.csv b/SurgeData/382-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/382-waterlevel_c.csv rename to SurgeData/382-waterlevel_c.csv diff --git a/SurgeData/N=1000/382-waterlevel_w.csv b/SurgeData/382-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/382-waterlevel_w.csv rename to SurgeData/382-waterlevel_w.csv diff --git a/SurgeData/383-num_storm.csv b/SurgeData/383-num_storm.csv new file mode 100644 index 00000000..ad52fd84 --- /dev/null +++ b/SurgeData/383-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,0.0,4.0 +2022,1.0,2.0 +2023,1.0,6.0 +2024,2.0,5.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,3.0,4.0 +2028,2.0,2.0 +2029,3.0,2.0 +2030,2.0,7.0 +2031,2.0,6.0 +2032,2.0,5.0 +2033,2.0,3.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,0.0,4.0 +2037,0.0,6.0 +2038,2.0,1.0 +2039,2.0,2.0 +2040,4.0,2.0 +2041,1.0,5.0 +2042,2.0,4.0 +2043,1.0,5.0 +2044,0.0,7.0 +2045,2.0,2.0 +2046,2.0,6.0 +2047,2.0,7.0 +2048,5.0,3.0 +2049,3.0,1.0 +2050,1.0,6.0 +2051,0.0,1.0 +2052,0.0,1.0 +2053,2.0,8.0 +2054,0.0,7.0 +2055,1.0,4.0 +2056,4.0,2.0 +2057,4.0,5.0 +2058,0.0,1.0 +2059,2.0,8.0 +2060,0.0,4.0 +2061,0.0,3.0 +2062,1.0,3.0 +2063,2.0,5.0 +2064,0.0,5.0 +2065,0.0,4.0 +2066,1.0,3.0 +2067,3.0,5.0 +2068,0.0,6.0 +2069,1.0,9.0 +2070,3.0,3.0 +2071,2.0,5.0 +2072,3.0,4.0 +2073,1.0,6.0 +2074,2.0,4.0 +2075,1.0,4.0 +2076,0.0,1.0 +2077,2.0,5.0 +2078,2.0,6.0 +2079,2.0,5.0 +2080,4.0,3.0 +2081,0.0,7.0 +2082,1.0,2.0 +2083,1.0,5.0 +2084,0.0,10.0 +2085,1.0,3.0 +2086,2.0,2.0 +2087,0.0,3.0 +2088,3.0,6.0 +2089,1.0,2.0 +2090,2.0,4.0 +2091,0.0,6.0 +2092,1.0,8.0 +2093,0.0,4.0 +2094,2.0,6.0 +2095,2.0,6.0 +2096,4.0,5.0 +2097,0.0,8.0 +2098,2.0,3.0 +2099,1.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/383-peak+year_c.csv b/SurgeData/383-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/383-peak+year_c.csv rename to SurgeData/383-peak+year_c.csv diff --git a/SurgeData/N=1000/383-peak+year_w.csv b/SurgeData/383-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/383-peak+year_w.csv rename to SurgeData/383-peak+year_w.csv diff --git a/SurgeData/N=1000/383-peak_c.csv b/SurgeData/383-peak_c.csv similarity index 100% rename from SurgeData/N=1000/383-peak_c.csv rename to SurgeData/383-peak_c.csv diff --git a/SurgeData/N=1000/383-peak_w.csv b/SurgeData/383-peak_w.csv similarity index 100% rename from SurgeData/N=1000/383-peak_w.csv rename to SurgeData/383-peak_w.csv diff --git a/SurgeData/N=1000/383-surge_c.csv b/SurgeData/383-surge_c.csv similarity index 100% rename from SurgeData/N=1000/383-surge_c.csv rename to SurgeData/383-surge_c.csv diff --git a/SurgeData/N=1000/383-surge_w.csv b/SurgeData/383-surge_w.csv similarity index 100% rename from SurgeData/N=1000/383-surge_w.csv rename to SurgeData/383-surge_w.csv diff --git a/SurgeData/N=1000/383-time_c.csv b/SurgeData/383-time_c.csv similarity index 100% rename from SurgeData/N=1000/383-time_c.csv rename to SurgeData/383-time_c.csv diff --git a/SurgeData/N=1000/383-time_w.csv b/SurgeData/383-time_w.csv similarity index 100% rename from SurgeData/N=1000/383-time_w.csv rename to SurgeData/383-time_w.csv diff --git a/SurgeData/N=1000/383-waterlevel_c.csv b/SurgeData/383-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/383-waterlevel_c.csv rename to SurgeData/383-waterlevel_c.csv diff --git a/SurgeData/N=1000/383-waterlevel_w.csv b/SurgeData/383-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/383-waterlevel_w.csv rename to SurgeData/383-waterlevel_w.csv diff --git a/SurgeData/384-num_storm.csv b/SurgeData/384-num_storm.csv new file mode 100644 index 00000000..ab3594ca --- /dev/null +++ b/SurgeData/384-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,4.0,4.0 +2022,0.0,4.0 +2023,1.0,6.0 +2024,1.0,5.0 +2025,1.0,2.0 +2026,0.0,5.0 +2027,0.0,2.0 +2028,5.0,4.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,1.0,7.0 +2032,2.0,6.0 +2033,3.0,6.0 +2034,2.0,8.0 +2035,2.0,7.0 +2036,0.0,5.0 +2037,2.0,4.0 +2038,1.0,2.0 +2039,4.0,0.0 +2040,0.0,2.0 +2041,0.0,7.0 +2042,2.0,2.0 +2043,0.0,4.0 +2044,1.0,4.0 +2045,1.0,7.0 +2046,0.0,2.0 +2047,5.0,2.0 +2048,4.0,6.0 +2049,2.0,8.0 +2050,3.0,8.0 +2051,4.0,4.0 +2052,1.0,2.0 +2053,3.0,6.0 +2054,0.0,7.0 +2055,1.0,6.0 +2056,0.0,4.0 +2057,0.0,4.0 +2058,0.0,3.0 +2059,1.0,7.0 +2060,1.0,4.0 +2061,2.0,7.0 +2062,2.0,2.0 +2063,0.0,3.0 +2064,1.0,2.0 +2065,2.0,5.0 +2066,1.0,5.0 +2067,2.0,8.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,2.0,6.0 +2071,2.0,4.0 +2072,0.0,2.0 +2073,0.0,6.0 +2074,2.0,6.0 +2075,1.0,6.0 +2076,0.0,3.0 +2077,1.0,0.0 +2078,1.0,1.0 +2079,0.0,3.0 +2080,4.0,2.0 +2081,1.0,2.0 +2082,0.0,3.0 +2083,1.0,3.0 +2084,4.0,8.0 +2085,0.0,2.0 +2086,1.0,8.0 +2087,1.0,3.0 +2088,1.0,6.0 +2089,3.0,6.0 +2090,3.0,6.0 +2091,1.0,2.0 +2092,2.0,5.0 +2093,1.0,2.0 +2094,2.0,3.0 +2095,1.0,6.0 +2096,2.0,3.0 +2097,1.0,8.0 +2098,0.0,3.0 +2099,2.0,2.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/384-peak+year_c.csv b/SurgeData/384-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/384-peak+year_c.csv rename to SurgeData/384-peak+year_c.csv diff --git a/SurgeData/N=1000/384-peak+year_w.csv b/SurgeData/384-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/384-peak+year_w.csv rename to SurgeData/384-peak+year_w.csv diff --git a/SurgeData/N=1000/384-peak_c.csv b/SurgeData/384-peak_c.csv similarity index 100% rename from SurgeData/N=1000/384-peak_c.csv rename to SurgeData/384-peak_c.csv diff --git a/SurgeData/N=1000/384-peak_w.csv b/SurgeData/384-peak_w.csv similarity index 100% rename from SurgeData/N=1000/384-peak_w.csv rename to SurgeData/384-peak_w.csv diff --git a/SurgeData/N=1000/384-surge_c.csv b/SurgeData/384-surge_c.csv similarity index 100% rename from SurgeData/N=1000/384-surge_c.csv rename to SurgeData/384-surge_c.csv diff --git a/SurgeData/N=1000/384-surge_w.csv b/SurgeData/384-surge_w.csv similarity index 100% rename from SurgeData/N=1000/384-surge_w.csv rename to SurgeData/384-surge_w.csv diff --git a/SurgeData/N=1000/384-time_c.csv b/SurgeData/384-time_c.csv similarity index 100% rename from SurgeData/N=1000/384-time_c.csv rename to SurgeData/384-time_c.csv diff --git a/SurgeData/N=1000/384-time_w.csv b/SurgeData/384-time_w.csv similarity index 100% rename from SurgeData/N=1000/384-time_w.csv rename to SurgeData/384-time_w.csv diff --git a/SurgeData/N=1000/384-waterlevel_c.csv b/SurgeData/384-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/384-waterlevel_c.csv rename to SurgeData/384-waterlevel_c.csv diff --git a/SurgeData/N=1000/384-waterlevel_w.csv b/SurgeData/384-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/384-waterlevel_w.csv rename to SurgeData/384-waterlevel_w.csv diff --git a/SurgeData/385-num_storm.csv b/SurgeData/385-num_storm.csv new file mode 100644 index 00000000..91beb19d --- /dev/null +++ b/SurgeData/385-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,4.0,5.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,2.0,1.0 +2025,1.0,3.0 +2026,2.0,4.0 +2027,3.0,9.0 +2028,0.0,2.0 +2029,2.0,7.0 +2030,0.0,3.0 +2031,0.0,3.0 +2032,3.0,4.0 +2033,3.0,2.0 +2034,2.0,6.0 +2035,4.0,5.0 +2036,1.0,1.0 +2037,2.0,4.0 +2038,2.0,3.0 +2039,1.0,3.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,4.0,5.0 +2043,2.0,2.0 +2044,0.0,7.0 +2045,3.0,5.0 +2046,1.0,7.0 +2047,2.0,5.0 +2048,2.0,5.0 +2049,1.0,7.0 +2050,3.0,6.0 +2051,1.0,5.0 +2052,2.0,7.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,4.0,3.0 +2056,0.0,2.0 +2057,3.0,4.0 +2058,2.0,3.0 +2059,0.0,5.0 +2060,0.0,2.0 +2061,1.0,4.0 +2062,2.0,2.0 +2063,2.0,4.0 +2064,4.0,2.0 +2065,1.0,2.0 +2066,1.0,4.0 +2067,4.0,4.0 +2068,4.0,7.0 +2069,2.0,2.0 +2070,1.0,7.0 +2071,1.0,4.0 +2072,2.0,4.0 +2073,1.0,3.0 +2074,1.0,2.0 +2075,3.0,5.0 +2076,1.0,9.0 +2077,2.0,4.0 +2078,2.0,2.0 +2079,0.0,3.0 +2080,3.0,3.0 +2081,2.0,2.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,3.0,2.0 +2086,0.0,3.0 +2087,2.0,7.0 +2088,0.0,3.0 +2089,1.0,5.0 +2090,3.0,4.0 +2091,3.0,4.0 +2092,3.0,3.0 +2093,3.0,3.0 +2094,2.0,3.0 +2095,0.0,3.0 +2096,2.0,5.0 +2097,2.0,5.0 +2098,2.0,6.0 +2099,1.0,2.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/385-peak+year_c.csv b/SurgeData/385-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/385-peak+year_c.csv rename to SurgeData/385-peak+year_c.csv diff --git a/SurgeData/N=1000/385-peak+year_w.csv b/SurgeData/385-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/385-peak+year_w.csv rename to SurgeData/385-peak+year_w.csv diff --git a/SurgeData/N=1000/385-peak_c.csv b/SurgeData/385-peak_c.csv similarity index 100% rename from SurgeData/N=1000/385-peak_c.csv rename to SurgeData/385-peak_c.csv diff --git a/SurgeData/N=1000/385-peak_w.csv b/SurgeData/385-peak_w.csv similarity index 100% rename from SurgeData/N=1000/385-peak_w.csv rename to SurgeData/385-peak_w.csv diff --git a/SurgeData/N=1000/385-surge_c.csv b/SurgeData/385-surge_c.csv similarity index 100% rename from SurgeData/N=1000/385-surge_c.csv rename to SurgeData/385-surge_c.csv diff --git a/SurgeData/N=1000/385-surge_w.csv b/SurgeData/385-surge_w.csv similarity index 100% rename from SurgeData/N=1000/385-surge_w.csv rename to SurgeData/385-surge_w.csv diff --git a/SurgeData/N=1000/385-time_c.csv b/SurgeData/385-time_c.csv similarity index 100% rename from SurgeData/N=1000/385-time_c.csv rename to SurgeData/385-time_c.csv diff --git a/SurgeData/N=1000/385-time_w.csv b/SurgeData/385-time_w.csv similarity index 100% rename from SurgeData/N=1000/385-time_w.csv rename to SurgeData/385-time_w.csv diff --git a/SurgeData/N=1000/385-waterlevel_c.csv b/SurgeData/385-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/385-waterlevel_c.csv rename to SurgeData/385-waterlevel_c.csv diff --git a/SurgeData/N=1000/385-waterlevel_w.csv b/SurgeData/385-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/385-waterlevel_w.csv rename to SurgeData/385-waterlevel_w.csv diff --git a/SurgeData/N=1000/386-peak+year_c.csv b/SurgeData/386-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/386-peak+year_c.csv rename to SurgeData/386-peak+year_c.csv diff --git a/SurgeData/N=1000/386-peak+year_w.csv b/SurgeData/386-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/386-peak+year_w.csv rename to SurgeData/386-peak+year_w.csv diff --git a/SurgeData/N=1000/386-peak_c.csv b/SurgeData/386-peak_c.csv similarity index 100% rename from SurgeData/N=1000/386-peak_c.csv rename to SurgeData/386-peak_c.csv diff --git a/SurgeData/N=1000/386-peak_w.csv b/SurgeData/386-peak_w.csv similarity index 100% rename from SurgeData/N=1000/386-peak_w.csv rename to SurgeData/386-peak_w.csv diff --git a/SurgeData/N=1000/386-surge_c.csv b/SurgeData/386-surge_c.csv similarity index 100% rename from SurgeData/N=1000/386-surge_c.csv rename to SurgeData/386-surge_c.csv diff --git a/SurgeData/N=1000/386-surge_w.csv b/SurgeData/386-surge_w.csv similarity index 100% rename from SurgeData/N=1000/386-surge_w.csv rename to SurgeData/386-surge_w.csv diff --git a/SurgeData/N=1000/386-time_c.csv b/SurgeData/386-time_c.csv similarity index 100% rename from SurgeData/N=1000/386-time_c.csv rename to SurgeData/386-time_c.csv diff --git a/SurgeData/N=1000/386-time_w.csv b/SurgeData/386-time_w.csv similarity index 100% rename from SurgeData/N=1000/386-time_w.csv rename to SurgeData/386-time_w.csv diff --git a/SurgeData/N=1000/386-waterlevel_c.csv b/SurgeData/386-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/386-waterlevel_c.csv rename to SurgeData/386-waterlevel_c.csv diff --git a/SurgeData/N=1000/386-waterlevel_w.csv b/SurgeData/386-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/386-waterlevel_w.csv rename to SurgeData/386-waterlevel_w.csv diff --git a/SurgeData/387-num_storm.csv b/SurgeData/387-num_storm.csv new file mode 100644 index 00000000..2f7770aa --- /dev/null +++ b/SurgeData/387-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,3.0 +2022,0.0,6.0 +2023,1.0,3.0 +2024,2.0,3.0 +2025,0.0,8.0 +2026,1.0,5.0 +2027,1.0,4.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,3.0,0.0 +2031,1.0,4.0 +2032,1.0,5.0 +2033,2.0,4.0 +2034,0.0,3.0 +2035,1.0,5.0 +2036,1.0,5.0 +2037,2.0,5.0 +2038,2.0,1.0 +2039,0.0,3.0 +2040,1.0,4.0 +2041,1.0,2.0 +2042,1.0,2.0 +2043,1.0,6.0 +2044,4.0,4.0 +2045,1.0,5.0 +2046,0.0,3.0 +2047,1.0,4.0 +2048,1.0,2.0 +2049,1.0,1.0 +2050,3.0,2.0 +2051,0.0,10.0 +2052,1.0,6.0 +2053,1.0,3.0 +2054,2.0,0.0 +2055,2.0,1.0 +2056,1.0,3.0 +2057,2.0,5.0 +2058,1.0,6.0 +2059,0.0,5.0 +2060,4.0,6.0 +2061,5.0,6.0 +2062,2.0,7.0 +2063,2.0,1.0 +2064,2.0,5.0 +2065,2.0,1.0 +2066,1.0,7.0 +2067,0.0,6.0 +2068,1.0,2.0 +2069,2.0,3.0 +2070,3.0,2.0 +2071,4.0,3.0 +2072,1.0,9.0 +2073,0.0,4.0 +2074,0.0,1.0 +2075,0.0,7.0 +2076,0.0,7.0 +2077,0.0,4.0 +2078,1.0,5.0 +2079,0.0,5.0 +2080,2.0,3.0 +2081,1.0,4.0 +2082,3.0,4.0 +2083,3.0,3.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,2.0,1.0 +2087,1.0,4.0 +2088,3.0,3.0 +2089,0.0,3.0 +2090,2.0,5.0 +2091,4.0,2.0 +2092,0.0,4.0 +2093,1.0,3.0 +2094,2.0,2.0 +2095,1.0,5.0 +2096,2.0,4.0 +2097,0.0,3.0 +2098,1.0,1.0 +2099,3.0,4.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/387-peak+year_c.csv b/SurgeData/387-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/387-peak+year_c.csv rename to SurgeData/387-peak+year_c.csv diff --git a/SurgeData/N=1000/387-peak+year_w.csv b/SurgeData/387-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/387-peak+year_w.csv rename to SurgeData/387-peak+year_w.csv diff --git a/SurgeData/N=1000/387-peak_c.csv b/SurgeData/387-peak_c.csv similarity index 100% rename from SurgeData/N=1000/387-peak_c.csv rename to SurgeData/387-peak_c.csv diff --git a/SurgeData/N=1000/387-peak_w.csv b/SurgeData/387-peak_w.csv similarity index 100% rename from SurgeData/N=1000/387-peak_w.csv rename to SurgeData/387-peak_w.csv diff --git a/SurgeData/N=1000/387-surge_c.csv b/SurgeData/387-surge_c.csv similarity index 100% rename from SurgeData/N=1000/387-surge_c.csv rename to SurgeData/387-surge_c.csv diff --git a/SurgeData/N=1000/387-surge_w.csv b/SurgeData/387-surge_w.csv similarity index 100% rename from SurgeData/N=1000/387-surge_w.csv rename to SurgeData/387-surge_w.csv diff --git a/SurgeData/N=1000/387-time_c.csv b/SurgeData/387-time_c.csv similarity index 100% rename from SurgeData/N=1000/387-time_c.csv rename to SurgeData/387-time_c.csv diff --git a/SurgeData/N=1000/387-time_w.csv b/SurgeData/387-time_w.csv similarity index 100% rename from SurgeData/N=1000/387-time_w.csv rename to SurgeData/387-time_w.csv diff --git a/SurgeData/N=1000/387-waterlevel_c.csv b/SurgeData/387-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/387-waterlevel_c.csv rename to SurgeData/387-waterlevel_c.csv diff --git a/SurgeData/N=1000/387-waterlevel_w.csv b/SurgeData/387-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/387-waterlevel_w.csv rename to SurgeData/387-waterlevel_w.csv diff --git a/SurgeData/388-num_storm.csv b/SurgeData/388-num_storm.csv new file mode 100644 index 00000000..eec79bd2 --- /dev/null +++ b/SurgeData/388-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,12.0 +2021,1.0,3.0 +2022,1.0,0.0 +2023,1.0,6.0 +2024,0.0,1.0 +2025,1.0,3.0 +2026,1.0,2.0 +2027,2.0,3.0 +2028,1.0,4.0 +2029,1.0,4.0 +2030,0.0,0.0 +2031,2.0,5.0 +2032,1.0,4.0 +2033,0.0,3.0 +2034,1.0,3.0 +2035,0.0,5.0 +2036,0.0,9.0 +2037,1.0,2.0 +2038,4.0,4.0 +2039,1.0,6.0 +2040,2.0,7.0 +2041,2.0,4.0 +2042,3.0,4.0 +2043,3.0,5.0 +2044,0.0,2.0 +2045,1.0,2.0 +2046,0.0,2.0 +2047,1.0,6.0 +2048,1.0,4.0 +2049,1.0,6.0 +2050,0.0,3.0 +2051,0.0,5.0 +2052,5.0,5.0 +2053,0.0,4.0 +2054,2.0,7.0 +2055,0.0,6.0 +2056,0.0,4.0 +2057,5.0,3.0 +2058,2.0,6.0 +2059,2.0,3.0 +2060,3.0,4.0 +2061,3.0,5.0 +2062,1.0,2.0 +2063,1.0,5.0 +2064,0.0,7.0 +2065,1.0,1.0 +2066,3.0,4.0 +2067,1.0,5.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,2.0,6.0 +2071,0.0,2.0 +2072,1.0,5.0 +2073,4.0,4.0 +2074,4.0,5.0 +2075,7.0,1.0 +2076,1.0,8.0 +2077,0.0,1.0 +2078,1.0,7.0 +2079,1.0,6.0 +2080,0.0,7.0 +2081,2.0,4.0 +2082,1.0,3.0 +2083,2.0,2.0 +2084,1.0,3.0 +2085,1.0,7.0 +2086,1.0,10.0 +2087,1.0,3.0 +2088,0.0,2.0 +2089,1.0,2.0 +2090,2.0,7.0 +2091,1.0,0.0 +2092,1.0,6.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,2.0,6.0 +2096,2.0,3.0 +2097,2.0,3.0 +2098,2.0,3.0 +2099,0.0,2.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/388-peak+year_c.csv b/SurgeData/388-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/388-peak+year_c.csv rename to SurgeData/388-peak+year_c.csv diff --git a/SurgeData/N=1000/388-peak+year_w.csv b/SurgeData/388-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/388-peak+year_w.csv rename to SurgeData/388-peak+year_w.csv diff --git a/SurgeData/N=1000/388-peak_c.csv b/SurgeData/388-peak_c.csv similarity index 100% rename from SurgeData/N=1000/388-peak_c.csv rename to SurgeData/388-peak_c.csv diff --git a/SurgeData/N=1000/388-peak_w.csv b/SurgeData/388-peak_w.csv similarity index 100% rename from SurgeData/N=1000/388-peak_w.csv rename to SurgeData/388-peak_w.csv diff --git a/SurgeData/N=1000/388-surge_c.csv b/SurgeData/388-surge_c.csv similarity index 100% rename from SurgeData/N=1000/388-surge_c.csv rename to SurgeData/388-surge_c.csv diff --git a/SurgeData/N=1000/388-surge_w.csv b/SurgeData/388-surge_w.csv similarity index 100% rename from SurgeData/N=1000/388-surge_w.csv rename to SurgeData/388-surge_w.csv diff --git a/SurgeData/N=1000/388-time_c.csv b/SurgeData/388-time_c.csv similarity index 100% rename from SurgeData/N=1000/388-time_c.csv rename to SurgeData/388-time_c.csv diff --git a/SurgeData/N=1000/388-time_w.csv b/SurgeData/388-time_w.csv similarity index 100% rename from SurgeData/N=1000/388-time_w.csv rename to SurgeData/388-time_w.csv diff --git a/SurgeData/N=1000/388-waterlevel_c.csv b/SurgeData/388-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/388-waterlevel_c.csv rename to SurgeData/388-waterlevel_c.csv diff --git a/SurgeData/N=1000/388-waterlevel_w.csv b/SurgeData/388-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/388-waterlevel_w.csv rename to SurgeData/388-waterlevel_w.csv diff --git a/SurgeData/389-num_storm.csv b/SurgeData/389-num_storm.csv new file mode 100644 index 00000000..81749842 --- /dev/null +++ b/SurgeData/389-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,3.0 +2022,1.0,8.0 +2023,3.0,3.0 +2024,2.0,3.0 +2025,3.0,1.0 +2026,1.0,3.0 +2027,3.0,2.0 +2028,2.0,3.0 +2029,1.0,6.0 +2030,2.0,5.0 +2031,3.0,2.0 +2032,1.0,2.0 +2033,2.0,5.0 +2034,2.0,4.0 +2035,0.0,6.0 +2036,3.0,5.0 +2037,1.0,2.0 +2038,2.0,7.0 +2039,3.0,9.0 +2040,3.0,4.0 +2041,0.0,2.0 +2042,1.0,3.0 +2043,1.0,7.0 +2044,1.0,4.0 +2045,1.0,2.0 +2046,2.0,5.0 +2047,3.0,7.0 +2048,0.0,0.0 +2049,2.0,2.0 +2050,0.0,6.0 +2051,0.0,1.0 +2052,4.0,5.0 +2053,1.0,8.0 +2054,2.0,5.0 +2055,1.0,2.0 +2056,0.0,6.0 +2057,1.0,1.0 +2058,4.0,4.0 +2059,3.0,5.0 +2060,0.0,6.0 +2061,2.0,5.0 +2062,3.0,4.0 +2063,1.0,3.0 +2064,0.0,6.0 +2065,2.0,7.0 +2066,2.0,3.0 +2067,0.0,3.0 +2068,1.0,3.0 +2069,2.0,4.0 +2070,2.0,1.0 +2071,2.0,4.0 +2072,1.0,6.0 +2073,3.0,3.0 +2074,1.0,6.0 +2075,3.0,5.0 +2076,0.0,2.0 +2077,1.0,2.0 +2078,2.0,5.0 +2079,2.0,4.0 +2080,1.0,4.0 +2081,0.0,5.0 +2082,1.0,6.0 +2083,1.0,2.0 +2084,1.0,5.0 +2085,5.0,7.0 +2086,3.0,2.0 +2087,2.0,1.0 +2088,2.0,9.0 +2089,0.0,3.0 +2090,2.0,7.0 +2091,3.0,4.0 +2092,0.0,2.0 +2093,1.0,3.0 +2094,2.0,5.0 +2095,3.0,1.0 +2096,2.0,3.0 +2097,2.0,2.0 +2098,0.0,6.0 +2099,0.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/389-peak+year_c.csv b/SurgeData/389-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/389-peak+year_c.csv rename to SurgeData/389-peak+year_c.csv diff --git a/SurgeData/N=1000/389-peak+year_w.csv b/SurgeData/389-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/389-peak+year_w.csv rename to SurgeData/389-peak+year_w.csv diff --git a/SurgeData/N=1000/389-peak_c.csv b/SurgeData/389-peak_c.csv similarity index 100% rename from SurgeData/N=1000/389-peak_c.csv rename to SurgeData/389-peak_c.csv diff --git a/SurgeData/N=1000/389-peak_w.csv b/SurgeData/389-peak_w.csv similarity index 100% rename from SurgeData/N=1000/389-peak_w.csv rename to SurgeData/389-peak_w.csv diff --git a/SurgeData/N=1000/389-surge_c.csv b/SurgeData/389-surge_c.csv similarity index 100% rename from SurgeData/N=1000/389-surge_c.csv rename to SurgeData/389-surge_c.csv diff --git a/SurgeData/N=1000/389-surge_w.csv b/SurgeData/389-surge_w.csv similarity index 100% rename from SurgeData/N=1000/389-surge_w.csv rename to SurgeData/389-surge_w.csv diff --git a/SurgeData/N=1000/389-time_c.csv b/SurgeData/389-time_c.csv similarity index 100% rename from SurgeData/N=1000/389-time_c.csv rename to SurgeData/389-time_c.csv diff --git a/SurgeData/N=1000/389-time_w.csv b/SurgeData/389-time_w.csv similarity index 100% rename from SurgeData/N=1000/389-time_w.csv rename to SurgeData/389-time_w.csv diff --git a/SurgeData/N=1000/389-waterlevel_c.csv b/SurgeData/389-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/389-waterlevel_c.csv rename to SurgeData/389-waterlevel_c.csv diff --git a/SurgeData/N=1000/389-waterlevel_w.csv b/SurgeData/389-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/389-waterlevel_w.csv rename to SurgeData/389-waterlevel_w.csv diff --git a/SurgeData/39-num_storm.csv b/SurgeData/39-num_storm.csv new file mode 100644 index 00000000..7f7c343c --- /dev/null +++ b/SurgeData/39-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,1.0,1.0 +2022,3.0,4.0 +2023,1.0,3.0 +2024,0.0,7.0 +2025,1.0,2.0 +2026,1.0,5.0 +2027,1.0,7.0 +2028,2.0,2.0 +2029,3.0,3.0 +2030,3.0,4.0 +2031,1.0,2.0 +2032,1.0,2.0 +2033,0.0,1.0 +2034,2.0,1.0 +2035,3.0,6.0 +2036,1.0,3.0 +2037,1.0,2.0 +2038,1.0,4.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,1.0,4.0 +2042,0.0,3.0 +2043,1.0,1.0 +2044,2.0,5.0 +2045,0.0,10.0 +2046,1.0,5.0 +2047,3.0,7.0 +2048,2.0,4.0 +2049,1.0,10.0 +2050,3.0,3.0 +2051,1.0,3.0 +2052,0.0,4.0 +2053,0.0,5.0 +2054,1.0,1.0 +2055,0.0,2.0 +2056,1.0,8.0 +2057,1.0,6.0 +2058,2.0,2.0 +2059,1.0,3.0 +2060,0.0,4.0 +2061,3.0,5.0 +2062,4.0,6.0 +2063,0.0,4.0 +2064,0.0,7.0 +2065,2.0,4.0 +2066,1.0,6.0 +2067,4.0,2.0 +2068,3.0,6.0 +2069,2.0,1.0 +2070,0.0,0.0 +2071,2.0,3.0 +2072,1.0,5.0 +2073,1.0,5.0 +2074,2.0,1.0 +2075,0.0,3.0 +2076,1.0,5.0 +2077,1.0,5.0 +2078,0.0,4.0 +2079,0.0,2.0 +2080,0.0,6.0 +2081,0.0,3.0 +2082,2.0,3.0 +2083,3.0,7.0 +2084,0.0,3.0 +2085,5.0,4.0 +2086,3.0,6.0 +2087,1.0,1.0 +2088,2.0,3.0 +2089,0.0,4.0 +2090,3.0,10.0 +2091,3.0,6.0 +2092,2.0,4.0 +2093,1.0,3.0 +2094,1.0,4.0 +2095,0.0,6.0 +2096,4.0,2.0 +2097,1.0,3.0 +2098,2.0,4.0 +2099,0.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/39-peak+year_c.csv b/SurgeData/39-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/39-peak+year_c.csv rename to SurgeData/39-peak+year_c.csv diff --git a/SurgeData/N=1000/39-peak+year_w.csv b/SurgeData/39-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/39-peak+year_w.csv rename to SurgeData/39-peak+year_w.csv diff --git a/SurgeData/N=1000/39-peak_c.csv b/SurgeData/39-peak_c.csv similarity index 100% rename from SurgeData/N=1000/39-peak_c.csv rename to SurgeData/39-peak_c.csv diff --git a/SurgeData/N=1000/39-peak_w.csv b/SurgeData/39-peak_w.csv similarity index 100% rename from SurgeData/N=1000/39-peak_w.csv rename to SurgeData/39-peak_w.csv diff --git a/SurgeData/N=1000/39-surge_c.csv b/SurgeData/39-surge_c.csv similarity index 100% rename from SurgeData/N=1000/39-surge_c.csv rename to SurgeData/39-surge_c.csv diff --git a/SurgeData/N=1000/39-surge_w.csv b/SurgeData/39-surge_w.csv similarity index 100% rename from SurgeData/N=1000/39-surge_w.csv rename to SurgeData/39-surge_w.csv diff --git a/SurgeData/N=1000/39-time_c.csv b/SurgeData/39-time_c.csv similarity index 100% rename from SurgeData/N=1000/39-time_c.csv rename to SurgeData/39-time_c.csv diff --git a/SurgeData/N=1000/39-time_w.csv b/SurgeData/39-time_w.csv similarity index 100% rename from SurgeData/N=1000/39-time_w.csv rename to SurgeData/39-time_w.csv diff --git a/SurgeData/N=1000/39-waterlevel_c.csv b/SurgeData/39-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/39-waterlevel_c.csv rename to SurgeData/39-waterlevel_c.csv diff --git a/SurgeData/N=1000/39-waterlevel_w.csv b/SurgeData/39-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/39-waterlevel_w.csv rename to SurgeData/39-waterlevel_w.csv diff --git a/SurgeData/390-num_storm.csv b/SurgeData/390-num_storm.csv new file mode 100644 index 00000000..25dd9f97 --- /dev/null +++ b/SurgeData/390-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,0.0,2.0 +2022,2.0,6.0 +2023,1.0,6.0 +2024,2.0,2.0 +2025,0.0,3.0 +2026,2.0,3.0 +2027,4.0,9.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,1.0,7.0 +2031,3.0,3.0 +2032,2.0,3.0 +2033,1.0,1.0 +2034,1.0,3.0 +2035,0.0,3.0 +2036,2.0,6.0 +2037,0.0,2.0 +2038,1.0,3.0 +2039,1.0,4.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,3.0,1.0 +2043,2.0,3.0 +2044,3.0,1.0 +2045,1.0,5.0 +2046,2.0,5.0 +2047,3.0,8.0 +2048,0.0,5.0 +2049,1.0,5.0 +2050,0.0,0.0 +2051,0.0,2.0 +2052,2.0,4.0 +2053,2.0,4.0 +2054,2.0,1.0 +2055,3.0,3.0 +2056,3.0,0.0 +2057,1.0,8.0 +2058,1.0,4.0 +2059,1.0,4.0 +2060,4.0,1.0 +2061,2.0,8.0 +2062,2.0,4.0 +2063,3.0,4.0 +2064,2.0,4.0 +2065,2.0,3.0 +2066,1.0,5.0 +2067,5.0,2.0 +2068,3.0,5.0 +2069,0.0,4.0 +2070,2.0,2.0 +2071,2.0,5.0 +2072,1.0,2.0 +2073,3.0,5.0 +2074,1.0,4.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,0.0,3.0 +2078,0.0,6.0 +2079,1.0,7.0 +2080,3.0,4.0 +2081,0.0,3.0 +2082,2.0,5.0 +2083,1.0,5.0 +2084,2.0,1.0 +2085,0.0,7.0 +2086,3.0,2.0 +2087,2.0,3.0 +2088,1.0,2.0 +2089,2.0,3.0 +2090,1.0,4.0 +2091,1.0,3.0 +2092,0.0,10.0 +2093,4.0,5.0 +2094,4.0,4.0 +2095,1.0,5.0 +2096,1.0,3.0 +2097,0.0,2.0 +2098,0.0,6.0 +2099,2.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/390-peak+year_c.csv b/SurgeData/390-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/390-peak+year_c.csv rename to SurgeData/390-peak+year_c.csv diff --git a/SurgeData/N=1000/390-peak+year_w.csv b/SurgeData/390-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/390-peak+year_w.csv rename to SurgeData/390-peak+year_w.csv diff --git a/SurgeData/N=1000/390-peak_c.csv b/SurgeData/390-peak_c.csv similarity index 100% rename from SurgeData/N=1000/390-peak_c.csv rename to SurgeData/390-peak_c.csv diff --git a/SurgeData/N=1000/390-peak_w.csv b/SurgeData/390-peak_w.csv similarity index 100% rename from SurgeData/N=1000/390-peak_w.csv rename to SurgeData/390-peak_w.csv diff --git a/SurgeData/N=1000/390-surge_c.csv b/SurgeData/390-surge_c.csv similarity index 100% rename from SurgeData/N=1000/390-surge_c.csv rename to SurgeData/390-surge_c.csv diff --git a/SurgeData/N=1000/390-surge_w.csv b/SurgeData/390-surge_w.csv similarity index 100% rename from SurgeData/N=1000/390-surge_w.csv rename to SurgeData/390-surge_w.csv diff --git a/SurgeData/N=1000/390-time_c.csv b/SurgeData/390-time_c.csv similarity index 100% rename from SurgeData/N=1000/390-time_c.csv rename to SurgeData/390-time_c.csv diff --git a/SurgeData/N=1000/390-time_w.csv b/SurgeData/390-time_w.csv similarity index 100% rename from SurgeData/N=1000/390-time_w.csv rename to SurgeData/390-time_w.csv diff --git a/SurgeData/N=1000/390-waterlevel_c.csv b/SurgeData/390-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/390-waterlevel_c.csv rename to SurgeData/390-waterlevel_c.csv diff --git a/SurgeData/N=1000/390-waterlevel_w.csv b/SurgeData/390-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/390-waterlevel_w.csv rename to SurgeData/390-waterlevel_w.csv diff --git a/SurgeData/391-num_storm.csv b/SurgeData/391-num_storm.csv new file mode 100644 index 00000000..eaeb79fb --- /dev/null +++ b/SurgeData/391-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,2.0,6.0 +2022,1.0,2.0 +2023,1.0,11.0 +2024,4.0,3.0 +2025,2.0,5.0 +2026,1.0,3.0 +2027,3.0,0.0 +2028,1.0,3.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,2.0,5.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,0.0,4.0 +2035,2.0,5.0 +2036,2.0,3.0 +2037,2.0,1.0 +2038,1.0,4.0 +2039,1.0,6.0 +2040,2.0,4.0 +2041,1.0,3.0 +2042,1.0,2.0 +2043,3.0,6.0 +2044,3.0,4.0 +2045,2.0,3.0 +2046,4.0,1.0 +2047,2.0,5.0 +2048,0.0,4.0 +2049,2.0,3.0 +2050,0.0,2.0 +2051,3.0,7.0 +2052,1.0,5.0 +2053,2.0,6.0 +2054,1.0,2.0 +2055,1.0,7.0 +2056,3.0,4.0 +2057,1.0,5.0 +2058,2.0,7.0 +2059,2.0,5.0 +2060,0.0,5.0 +2061,0.0,6.0 +2062,1.0,7.0 +2063,1.0,4.0 +2064,0.0,2.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,0.0,4.0 +2068,0.0,5.0 +2069,0.0,4.0 +2070,1.0,7.0 +2071,2.0,3.0 +2072,1.0,7.0 +2073,3.0,2.0 +2074,2.0,1.0 +2075,2.0,4.0 +2076,0.0,3.0 +2077,2.0,1.0 +2078,2.0,6.0 +2079,2.0,5.0 +2080,0.0,5.0 +2081,3.0,4.0 +2082,2.0,5.0 +2083,0.0,4.0 +2084,0.0,2.0 +2085,1.0,1.0 +2086,3.0,1.0 +2087,2.0,3.0 +2088,3.0,5.0 +2089,0.0,5.0 +2090,0.0,5.0 +2091,0.0,7.0 +2092,1.0,4.0 +2093,5.0,9.0 +2094,5.0,2.0 +2095,2.0,4.0 +2096,0.0,2.0 +2097,1.0,3.0 +2098,2.0,3.0 +2099,1.0,8.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/391-peak+year_c.csv b/SurgeData/391-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/391-peak+year_c.csv rename to SurgeData/391-peak+year_c.csv diff --git a/SurgeData/N=1000/391-peak+year_w.csv b/SurgeData/391-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/391-peak+year_w.csv rename to SurgeData/391-peak+year_w.csv diff --git a/SurgeData/N=1000/391-peak_c.csv b/SurgeData/391-peak_c.csv similarity index 100% rename from SurgeData/N=1000/391-peak_c.csv rename to SurgeData/391-peak_c.csv diff --git a/SurgeData/N=1000/391-peak_w.csv b/SurgeData/391-peak_w.csv similarity index 100% rename from SurgeData/N=1000/391-peak_w.csv rename to SurgeData/391-peak_w.csv diff --git a/SurgeData/N=1000/391-surge_c.csv b/SurgeData/391-surge_c.csv similarity index 100% rename from SurgeData/N=1000/391-surge_c.csv rename to SurgeData/391-surge_c.csv diff --git a/SurgeData/N=1000/391-surge_w.csv b/SurgeData/391-surge_w.csv similarity index 100% rename from SurgeData/N=1000/391-surge_w.csv rename to SurgeData/391-surge_w.csv diff --git a/SurgeData/N=1000/391-time_c.csv b/SurgeData/391-time_c.csv similarity index 100% rename from SurgeData/N=1000/391-time_c.csv rename to SurgeData/391-time_c.csv diff --git a/SurgeData/N=1000/391-time_w.csv b/SurgeData/391-time_w.csv similarity index 100% rename from SurgeData/N=1000/391-time_w.csv rename to SurgeData/391-time_w.csv diff --git a/SurgeData/N=1000/391-waterlevel_c.csv b/SurgeData/391-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/391-waterlevel_c.csv rename to SurgeData/391-waterlevel_c.csv diff --git a/SurgeData/N=1000/391-waterlevel_w.csv b/SurgeData/391-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/391-waterlevel_w.csv rename to SurgeData/391-waterlevel_w.csv diff --git a/SurgeData/392-num_storm.csv b/SurgeData/392-num_storm.csv new file mode 100644 index 00000000..c0d598a1 --- /dev/null +++ b/SurgeData/392-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,1.0,8.0 +2022,1.0,3.0 +2023,0.0,1.0 +2024,1.0,3.0 +2025,1.0,3.0 +2026,1.0,2.0 +2027,2.0,4.0 +2028,0.0,2.0 +2029,4.0,2.0 +2030,3.0,2.0 +2031,3.0,5.0 +2032,0.0,0.0 +2033,1.0,5.0 +2034,0.0,3.0 +2035,0.0,2.0 +2036,1.0,2.0 +2037,1.0,3.0 +2038,0.0,3.0 +2039,2.0,4.0 +2040,1.0,3.0 +2041,2.0,9.0 +2042,2.0,1.0 +2043,1.0,6.0 +2044,0.0,8.0 +2045,2.0,6.0 +2046,3.0,4.0 +2047,1.0,5.0 +2048,3.0,1.0 +2049,1.0,6.0 +2050,0.0,3.0 +2051,2.0,6.0 +2052,5.0,7.0 +2053,3.0,2.0 +2054,1.0,2.0 +2055,1.0,6.0 +2056,1.0,3.0 +2057,1.0,3.0 +2058,2.0,2.0 +2059,1.0,2.0 +2060,2.0,6.0 +2061,2.0,4.0 +2062,1.0,1.0 +2063,2.0,5.0 +2064,0.0,4.0 +2065,2.0,3.0 +2066,1.0,6.0 +2067,2.0,7.0 +2068,0.0,7.0 +2069,2.0,4.0 +2070,2.0,2.0 +2071,2.0,2.0 +2072,2.0,6.0 +2073,0.0,5.0 +2074,5.0,0.0 +2075,2.0,3.0 +2076,1.0,5.0 +2077,1.0,2.0 +2078,0.0,3.0 +2079,1.0,2.0 +2080,3.0,7.0 +2081,0.0,3.0 +2082,2.0,4.0 +2083,3.0,6.0 +2084,1.0,4.0 +2085,1.0,7.0 +2086,1.0,2.0 +2087,3.0,7.0 +2088,3.0,3.0 +2089,4.0,5.0 +2090,0.0,3.0 +2091,2.0,7.0 +2092,4.0,4.0 +2093,2.0,4.0 +2094,0.0,5.0 +2095,2.0,4.0 +2096,2.0,8.0 +2097,3.0,6.0 +2098,4.0,2.0 +2099,2.0,7.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/392-peak+year_c.csv b/SurgeData/392-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/392-peak+year_c.csv rename to SurgeData/392-peak+year_c.csv diff --git a/SurgeData/N=1000/392-peak+year_w.csv b/SurgeData/392-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/392-peak+year_w.csv rename to SurgeData/392-peak+year_w.csv diff --git a/SurgeData/N=1000/392-peak_c.csv b/SurgeData/392-peak_c.csv similarity index 100% rename from SurgeData/N=1000/392-peak_c.csv rename to SurgeData/392-peak_c.csv diff --git a/SurgeData/N=1000/392-peak_w.csv b/SurgeData/392-peak_w.csv similarity index 100% rename from SurgeData/N=1000/392-peak_w.csv rename to SurgeData/392-peak_w.csv diff --git a/SurgeData/N=1000/392-surge_c.csv b/SurgeData/392-surge_c.csv similarity index 100% rename from SurgeData/N=1000/392-surge_c.csv rename to SurgeData/392-surge_c.csv diff --git a/SurgeData/N=1000/392-surge_w.csv b/SurgeData/392-surge_w.csv similarity index 100% rename from SurgeData/N=1000/392-surge_w.csv rename to SurgeData/392-surge_w.csv diff --git a/SurgeData/N=1000/392-time_c.csv b/SurgeData/392-time_c.csv similarity index 100% rename from SurgeData/N=1000/392-time_c.csv rename to SurgeData/392-time_c.csv diff --git a/SurgeData/N=1000/392-time_w.csv b/SurgeData/392-time_w.csv similarity index 100% rename from SurgeData/N=1000/392-time_w.csv rename to SurgeData/392-time_w.csv diff --git a/SurgeData/N=1000/392-waterlevel_c.csv b/SurgeData/392-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/392-waterlevel_c.csv rename to SurgeData/392-waterlevel_c.csv diff --git a/SurgeData/N=1000/392-waterlevel_w.csv b/SurgeData/392-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/392-waterlevel_w.csv rename to SurgeData/392-waterlevel_w.csv diff --git a/SurgeData/393-num_storm.csv b/SurgeData/393-num_storm.csv new file mode 100644 index 00000000..5825c47c --- /dev/null +++ b/SurgeData/393-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,1.0,3.0 +2022,0.0,2.0 +2023,1.0,6.0 +2024,1.0,1.0 +2025,2.0,4.0 +2026,1.0,4.0 +2027,2.0,4.0 +2028,3.0,7.0 +2029,1.0,5.0 +2030,1.0,4.0 +2031,0.0,1.0 +2032,2.0,1.0 +2033,1.0,5.0 +2034,3.0,2.0 +2035,2.0,4.0 +2036,0.0,1.0 +2037,4.0,6.0 +2038,2.0,7.0 +2039,0.0,4.0 +2040,3.0,2.0 +2041,1.0,2.0 +2042,0.0,3.0 +2043,1.0,4.0 +2044,3.0,3.0 +2045,0.0,4.0 +2046,3.0,4.0 +2047,1.0,3.0 +2048,2.0,4.0 +2049,2.0,7.0 +2050,1.0,5.0 +2051,2.0,7.0 +2052,1.0,4.0 +2053,1.0,3.0 +2054,2.0,3.0 +2055,0.0,6.0 +2056,1.0,5.0 +2057,3.0,3.0 +2058,2.0,4.0 +2059,2.0,4.0 +2060,0.0,4.0 +2061,2.0,5.0 +2062,2.0,5.0 +2063,1.0,2.0 +2064,2.0,2.0 +2065,4.0,4.0 +2066,3.0,4.0 +2067,2.0,7.0 +2068,3.0,3.0 +2069,3.0,3.0 +2070,2.0,1.0 +2071,4.0,5.0 +2072,0.0,6.0 +2073,3.0,4.0 +2074,2.0,1.0 +2075,1.0,3.0 +2076,1.0,6.0 +2077,2.0,4.0 +2078,4.0,4.0 +2079,0.0,1.0 +2080,2.0,4.0 +2081,1.0,10.0 +2082,1.0,2.0 +2083,0.0,5.0 +2084,3.0,6.0 +2085,0.0,2.0 +2086,1.0,5.0 +2087,2.0,5.0 +2088,0.0,5.0 +2089,3.0,6.0 +2090,2.0,4.0 +2091,3.0,1.0 +2092,2.0,3.0 +2093,2.0,6.0 +2094,4.0,2.0 +2095,2.0,8.0 +2096,2.0,8.0 +2097,2.0,4.0 +2098,1.0,2.0 +2099,1.0,1.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/393-peak+year_c.csv b/SurgeData/393-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/393-peak+year_c.csv rename to SurgeData/393-peak+year_c.csv diff --git a/SurgeData/N=1000/393-peak+year_w.csv b/SurgeData/393-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/393-peak+year_w.csv rename to SurgeData/393-peak+year_w.csv diff --git a/SurgeData/N=1000/393-peak_c.csv b/SurgeData/393-peak_c.csv similarity index 100% rename from SurgeData/N=1000/393-peak_c.csv rename to SurgeData/393-peak_c.csv diff --git a/SurgeData/N=1000/393-peak_w.csv b/SurgeData/393-peak_w.csv similarity index 100% rename from SurgeData/N=1000/393-peak_w.csv rename to SurgeData/393-peak_w.csv diff --git a/SurgeData/N=1000/393-surge_c.csv b/SurgeData/393-surge_c.csv similarity index 100% rename from SurgeData/N=1000/393-surge_c.csv rename to SurgeData/393-surge_c.csv diff --git a/SurgeData/N=1000/393-surge_w.csv b/SurgeData/393-surge_w.csv similarity index 100% rename from SurgeData/N=1000/393-surge_w.csv rename to SurgeData/393-surge_w.csv diff --git a/SurgeData/N=1000/393-time_c.csv b/SurgeData/393-time_c.csv similarity index 100% rename from SurgeData/N=1000/393-time_c.csv rename to SurgeData/393-time_c.csv diff --git a/SurgeData/N=1000/393-time_w.csv b/SurgeData/393-time_w.csv similarity index 100% rename from SurgeData/N=1000/393-time_w.csv rename to SurgeData/393-time_w.csv diff --git a/SurgeData/N=1000/393-waterlevel_c.csv b/SurgeData/393-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/393-waterlevel_c.csv rename to SurgeData/393-waterlevel_c.csv diff --git a/SurgeData/N=1000/393-waterlevel_w.csv b/SurgeData/393-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/393-waterlevel_w.csv rename to SurgeData/393-waterlevel_w.csv diff --git a/SurgeData/N=1000/394-peak+year_c.csv b/SurgeData/394-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/394-peak+year_c.csv rename to SurgeData/394-peak+year_c.csv diff --git a/SurgeData/N=1000/394-peak+year_w.csv b/SurgeData/394-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/394-peak+year_w.csv rename to SurgeData/394-peak+year_w.csv diff --git a/SurgeData/N=1000/394-peak_c.csv b/SurgeData/394-peak_c.csv similarity index 100% rename from SurgeData/N=1000/394-peak_c.csv rename to SurgeData/394-peak_c.csv diff --git a/SurgeData/N=1000/394-peak_w.csv b/SurgeData/394-peak_w.csv similarity index 100% rename from SurgeData/N=1000/394-peak_w.csv rename to SurgeData/394-peak_w.csv diff --git a/SurgeData/N=1000/394-surge_c.csv b/SurgeData/394-surge_c.csv similarity index 100% rename from SurgeData/N=1000/394-surge_c.csv rename to SurgeData/394-surge_c.csv diff --git a/SurgeData/N=1000/394-surge_w.csv b/SurgeData/394-surge_w.csv similarity index 100% rename from SurgeData/N=1000/394-surge_w.csv rename to SurgeData/394-surge_w.csv diff --git a/SurgeData/N=1000/394-time_c.csv b/SurgeData/394-time_c.csv similarity index 100% rename from SurgeData/N=1000/394-time_c.csv rename to SurgeData/394-time_c.csv diff --git a/SurgeData/N=1000/394-time_w.csv b/SurgeData/394-time_w.csv similarity index 100% rename from SurgeData/N=1000/394-time_w.csv rename to SurgeData/394-time_w.csv diff --git a/SurgeData/N=1000/394-waterlevel_c.csv b/SurgeData/394-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/394-waterlevel_c.csv rename to SurgeData/394-waterlevel_c.csv diff --git a/SurgeData/N=1000/394-waterlevel_w.csv b/SurgeData/394-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/394-waterlevel_w.csv rename to SurgeData/394-waterlevel_w.csv diff --git a/SurgeData/395-num_storm.csv b/SurgeData/395-num_storm.csv new file mode 100644 index 00000000..58bc9adb --- /dev/null +++ b/SurgeData/395-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,7.0 +2022,0.0,3.0 +2023,3.0,0.0 +2024,0.0,3.0 +2025,2.0,5.0 +2026,2.0,2.0 +2027,0.0,7.0 +2028,1.0,2.0 +2029,2.0,4.0 +2030,1.0,1.0 +2031,0.0,5.0 +2032,3.0,3.0 +2033,3.0,2.0 +2034,1.0,7.0 +2035,2.0,6.0 +2036,1.0,4.0 +2037,0.0,4.0 +2038,1.0,3.0 +2039,0.0,6.0 +2040,2.0,2.0 +2041,2.0,1.0 +2042,3.0,3.0 +2043,1.0,5.0 +2044,3.0,5.0 +2045,2.0,8.0 +2046,2.0,4.0 +2047,0.0,5.0 +2048,2.0,5.0 +2049,1.0,1.0 +2050,3.0,6.0 +2051,3.0,3.0 +2052,1.0,8.0 +2053,0.0,2.0 +2054,0.0,4.0 +2055,3.0,5.0 +2056,3.0,6.0 +2057,1.0,2.0 +2058,0.0,5.0 +2059,3.0,10.0 +2060,0.0,8.0 +2061,2.0,5.0 +2062,1.0,1.0 +2063,1.0,2.0 +2064,0.0,6.0 +2065,4.0,2.0 +2066,0.0,5.0 +2067,2.0,6.0 +2068,3.0,5.0 +2069,0.0,5.0 +2070,4.0,4.0 +2071,1.0,2.0 +2072,1.0,6.0 +2073,0.0,2.0 +2074,3.0,4.0 +2075,1.0,4.0 +2076,1.0,3.0 +2077,1.0,9.0 +2078,0.0,5.0 +2079,1.0,5.0 +2080,1.0,2.0 +2081,1.0,9.0 +2082,1.0,1.0 +2083,1.0,1.0 +2084,1.0,6.0 +2085,0.0,3.0 +2086,1.0,7.0 +2087,3.0,6.0 +2088,2.0,3.0 +2089,3.0,5.0 +2090,1.0,3.0 +2091,0.0,5.0 +2092,4.0,2.0 +2093,1.0,4.0 +2094,0.0,4.0 +2095,4.0,6.0 +2096,2.0,7.0 +2097,1.0,2.0 +2098,1.0,9.0 +2099,3.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/395-peak+year_c.csv b/SurgeData/395-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/395-peak+year_c.csv rename to SurgeData/395-peak+year_c.csv diff --git a/SurgeData/N=1000/395-peak+year_w.csv b/SurgeData/395-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/395-peak+year_w.csv rename to SurgeData/395-peak+year_w.csv diff --git a/SurgeData/N=1000/395-peak_c.csv b/SurgeData/395-peak_c.csv similarity index 100% rename from SurgeData/N=1000/395-peak_c.csv rename to SurgeData/395-peak_c.csv diff --git a/SurgeData/N=1000/395-peak_w.csv b/SurgeData/395-peak_w.csv similarity index 100% rename from SurgeData/N=1000/395-peak_w.csv rename to SurgeData/395-peak_w.csv diff --git a/SurgeData/N=1000/395-surge_c.csv b/SurgeData/395-surge_c.csv similarity index 100% rename from SurgeData/N=1000/395-surge_c.csv rename to SurgeData/395-surge_c.csv diff --git a/SurgeData/N=1000/395-surge_w.csv b/SurgeData/395-surge_w.csv similarity index 100% rename from SurgeData/N=1000/395-surge_w.csv rename to SurgeData/395-surge_w.csv diff --git a/SurgeData/N=1000/395-time_c.csv b/SurgeData/395-time_c.csv similarity index 100% rename from SurgeData/N=1000/395-time_c.csv rename to SurgeData/395-time_c.csv diff --git a/SurgeData/N=1000/395-time_w.csv b/SurgeData/395-time_w.csv similarity index 100% rename from SurgeData/N=1000/395-time_w.csv rename to SurgeData/395-time_w.csv diff --git a/SurgeData/N=1000/395-waterlevel_c.csv b/SurgeData/395-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/395-waterlevel_c.csv rename to SurgeData/395-waterlevel_c.csv diff --git a/SurgeData/N=1000/395-waterlevel_w.csv b/SurgeData/395-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/395-waterlevel_w.csv rename to SurgeData/395-waterlevel_w.csv diff --git a/SurgeData/396-num_storm.csv b/SurgeData/396-num_storm.csv new file mode 100644 index 00000000..4de92b8d --- /dev/null +++ b/SurgeData/396-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,3.0 +2022,0.0,0.0 +2023,3.0,2.0 +2024,2.0,3.0 +2025,4.0,5.0 +2026,1.0,5.0 +2027,1.0,7.0 +2028,0.0,3.0 +2029,2.0,3.0 +2030,1.0,4.0 +2031,3.0,4.0 +2032,1.0,3.0 +2033,2.0,4.0 +2034,1.0,1.0 +2035,0.0,3.0 +2036,0.0,0.0 +2037,1.0,4.0 +2038,0.0,4.0 +2039,2.0,2.0 +2040,0.0,4.0 +2041,1.0,6.0 +2042,3.0,5.0 +2043,1.0,9.0 +2044,2.0,3.0 +2045,2.0,3.0 +2046,1.0,3.0 +2047,2.0,3.0 +2048,3.0,4.0 +2049,1.0,4.0 +2050,1.0,5.0 +2051,1.0,2.0 +2052,1.0,4.0 +2053,2.0,4.0 +2054,3.0,8.0 +2055,0.0,8.0 +2056,2.0,4.0 +2057,1.0,8.0 +2058,0.0,3.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,0.0,5.0 +2062,1.0,6.0 +2063,1.0,4.0 +2064,2.0,0.0 +2065,1.0,4.0 +2066,0.0,4.0 +2067,1.0,4.0 +2068,0.0,4.0 +2069,0.0,0.0 +2070,1.0,4.0 +2071,2.0,4.0 +2072,2.0,6.0 +2073,0.0,2.0 +2074,2.0,3.0 +2075,0.0,1.0 +2076,1.0,2.0 +2077,1.0,3.0 +2078,0.0,5.0 +2079,1.0,5.0 +2080,1.0,3.0 +2081,1.0,1.0 +2082,0.0,2.0 +2083,2.0,7.0 +2084,1.0,5.0 +2085,2.0,7.0 +2086,0.0,2.0 +2087,0.0,2.0 +2088,3.0,8.0 +2089,1.0,5.0 +2090,1.0,2.0 +2091,4.0,6.0 +2092,3.0,5.0 +2093,1.0,6.0 +2094,1.0,2.0 +2095,3.0,6.0 +2096,1.0,6.0 +2097,0.0,2.0 +2098,0.0,4.0 +2099,0.0,4.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/396-peak+year_c.csv b/SurgeData/396-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/396-peak+year_c.csv rename to SurgeData/396-peak+year_c.csv diff --git a/SurgeData/N=1000/396-peak+year_w.csv b/SurgeData/396-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/396-peak+year_w.csv rename to SurgeData/396-peak+year_w.csv diff --git a/SurgeData/N=1000/396-peak_c.csv b/SurgeData/396-peak_c.csv similarity index 100% rename from SurgeData/N=1000/396-peak_c.csv rename to SurgeData/396-peak_c.csv diff --git a/SurgeData/N=1000/396-peak_w.csv b/SurgeData/396-peak_w.csv similarity index 100% rename from SurgeData/N=1000/396-peak_w.csv rename to SurgeData/396-peak_w.csv diff --git a/SurgeData/N=1000/396-surge_c.csv b/SurgeData/396-surge_c.csv similarity index 100% rename from SurgeData/N=1000/396-surge_c.csv rename to SurgeData/396-surge_c.csv diff --git a/SurgeData/N=1000/396-surge_w.csv b/SurgeData/396-surge_w.csv similarity index 100% rename from SurgeData/N=1000/396-surge_w.csv rename to SurgeData/396-surge_w.csv diff --git a/SurgeData/N=1000/396-time_c.csv b/SurgeData/396-time_c.csv similarity index 100% rename from SurgeData/N=1000/396-time_c.csv rename to SurgeData/396-time_c.csv diff --git a/SurgeData/N=1000/396-time_w.csv b/SurgeData/396-time_w.csv similarity index 100% rename from SurgeData/N=1000/396-time_w.csv rename to SurgeData/396-time_w.csv diff --git a/SurgeData/N=1000/396-waterlevel_c.csv b/SurgeData/396-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/396-waterlevel_c.csv rename to SurgeData/396-waterlevel_c.csv diff --git a/SurgeData/N=1000/396-waterlevel_w.csv b/SurgeData/396-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/396-waterlevel_w.csv rename to SurgeData/396-waterlevel_w.csv diff --git a/SurgeData/397-num_storm.csv b/SurgeData/397-num_storm.csv new file mode 100644 index 00000000..e25ba621 --- /dev/null +++ b/SurgeData/397-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,3.0 +2022,1.0,3.0 +2023,3.0,4.0 +2024,1.0,3.0 +2025,0.0,5.0 +2026,1.0,4.0 +2027,3.0,5.0 +2028,2.0,1.0 +2029,0.0,5.0 +2030,2.0,6.0 +2031,1.0,5.0 +2032,2.0,9.0 +2033,1.0,1.0 +2034,2.0,2.0 +2035,0.0,3.0 +2036,5.0,5.0 +2037,2.0,6.0 +2038,2.0,4.0 +2039,1.0,2.0 +2040,1.0,3.0 +2041,1.0,8.0 +2042,2.0,2.0 +2043,0.0,4.0 +2044,4.0,3.0 +2045,2.0,4.0 +2046,0.0,2.0 +2047,1.0,2.0 +2048,1.0,6.0 +2049,0.0,5.0 +2050,1.0,2.0 +2051,2.0,5.0 +2052,2.0,7.0 +2053,2.0,2.0 +2054,1.0,5.0 +2055,1.0,2.0 +2056,0.0,3.0 +2057,3.0,3.0 +2058,1.0,4.0 +2059,0.0,7.0 +2060,1.0,9.0 +2061,2.0,4.0 +2062,2.0,2.0 +2063,0.0,2.0 +2064,1.0,7.0 +2065,1.0,5.0 +2066,3.0,4.0 +2067,1.0,9.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,2.0,1.0 +2071,0.0,4.0 +2072,3.0,8.0 +2073,1.0,5.0 +2074,5.0,7.0 +2075,1.0,2.0 +2076,0.0,4.0 +2077,2.0,4.0 +2078,1.0,3.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,1.0,3.0 +2082,3.0,6.0 +2083,1.0,4.0 +2084,1.0,7.0 +2085,3.0,2.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,4.0,3.0 +2089,0.0,5.0 +2090,3.0,4.0 +2091,0.0,4.0 +2092,3.0,6.0 +2093,2.0,1.0 +2094,2.0,2.0 +2095,0.0,3.0 +2096,3.0,3.0 +2097,2.0,0.0 +2098,0.0,6.0 +2099,0.0,1.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/397-peak+year_c.csv b/SurgeData/397-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/397-peak+year_c.csv rename to SurgeData/397-peak+year_c.csv diff --git a/SurgeData/N=1000/397-peak+year_w.csv b/SurgeData/397-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/397-peak+year_w.csv rename to SurgeData/397-peak+year_w.csv diff --git a/SurgeData/N=1000/397-peak_c.csv b/SurgeData/397-peak_c.csv similarity index 100% rename from SurgeData/N=1000/397-peak_c.csv rename to SurgeData/397-peak_c.csv diff --git a/SurgeData/N=1000/397-peak_w.csv b/SurgeData/397-peak_w.csv similarity index 100% rename from SurgeData/N=1000/397-peak_w.csv rename to SurgeData/397-peak_w.csv diff --git a/SurgeData/N=1000/397-surge_c.csv b/SurgeData/397-surge_c.csv similarity index 100% rename from SurgeData/N=1000/397-surge_c.csv rename to SurgeData/397-surge_c.csv diff --git a/SurgeData/N=1000/397-surge_w.csv b/SurgeData/397-surge_w.csv similarity index 100% rename from SurgeData/N=1000/397-surge_w.csv rename to SurgeData/397-surge_w.csv diff --git a/SurgeData/N=1000/397-time_c.csv b/SurgeData/397-time_c.csv similarity index 100% rename from SurgeData/N=1000/397-time_c.csv rename to SurgeData/397-time_c.csv diff --git a/SurgeData/N=1000/397-time_w.csv b/SurgeData/397-time_w.csv similarity index 100% rename from SurgeData/N=1000/397-time_w.csv rename to SurgeData/397-time_w.csv diff --git a/SurgeData/N=1000/397-waterlevel_c.csv b/SurgeData/397-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/397-waterlevel_c.csv rename to SurgeData/397-waterlevel_c.csv diff --git a/SurgeData/N=1000/397-waterlevel_w.csv b/SurgeData/397-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/397-waterlevel_w.csv rename to SurgeData/397-waterlevel_w.csv diff --git a/SurgeData/N=1000/398-peak+year_c.csv b/SurgeData/398-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/398-peak+year_c.csv rename to SurgeData/398-peak+year_c.csv diff --git a/SurgeData/N=1000/398-peak+year_w.csv b/SurgeData/398-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/398-peak+year_w.csv rename to SurgeData/398-peak+year_w.csv diff --git a/SurgeData/N=1000/398-peak_c.csv b/SurgeData/398-peak_c.csv similarity index 100% rename from SurgeData/N=1000/398-peak_c.csv rename to SurgeData/398-peak_c.csv diff --git a/SurgeData/N=1000/398-peak_w.csv b/SurgeData/398-peak_w.csv similarity index 100% rename from SurgeData/N=1000/398-peak_w.csv rename to SurgeData/398-peak_w.csv diff --git a/SurgeData/N=1000/398-surge_c.csv b/SurgeData/398-surge_c.csv similarity index 100% rename from SurgeData/N=1000/398-surge_c.csv rename to SurgeData/398-surge_c.csv diff --git a/SurgeData/N=1000/398-surge_w.csv b/SurgeData/398-surge_w.csv similarity index 100% rename from SurgeData/N=1000/398-surge_w.csv rename to SurgeData/398-surge_w.csv diff --git a/SurgeData/N=1000/398-time_c.csv b/SurgeData/398-time_c.csv similarity index 100% rename from SurgeData/N=1000/398-time_c.csv rename to SurgeData/398-time_c.csv diff --git a/SurgeData/N=1000/398-time_w.csv b/SurgeData/398-time_w.csv similarity index 100% rename from SurgeData/N=1000/398-time_w.csv rename to SurgeData/398-time_w.csv diff --git a/SurgeData/N=1000/398-waterlevel_c.csv b/SurgeData/398-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/398-waterlevel_c.csv rename to SurgeData/398-waterlevel_c.csv diff --git a/SurgeData/N=1000/398-waterlevel_w.csv b/SurgeData/398-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/398-waterlevel_w.csv rename to SurgeData/398-waterlevel_w.csv diff --git a/SurgeData/399-num_storm.csv b/SurgeData/399-num_storm.csv new file mode 100644 index 00000000..008bffda --- /dev/null +++ b/SurgeData/399-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,6.0 +2022,2.0,4.0 +2023,3.0,9.0 +2024,0.0,5.0 +2025,2.0,2.0 +2026,3.0,3.0 +2027,1.0,3.0 +2028,2.0,2.0 +2029,1.0,3.0 +2030,1.0,6.0 +2031,4.0,1.0 +2032,3.0,4.0 +2033,2.0,2.0 +2034,1.0,7.0 +2035,2.0,7.0 +2036,4.0,2.0 +2037,2.0,4.0 +2038,0.0,6.0 +2039,1.0,3.0 +2040,2.0,1.0 +2041,0.0,2.0 +2042,1.0,4.0 +2043,0.0,4.0 +2044,2.0,4.0 +2045,0.0,1.0 +2046,0.0,7.0 +2047,0.0,1.0 +2048,2.0,6.0 +2049,2.0,3.0 +2050,1.0,5.0 +2051,1.0,4.0 +2052,2.0,6.0 +2053,1.0,4.0 +2054,0.0,6.0 +2055,2.0,7.0 +2056,2.0,7.0 +2057,3.0,6.0 +2058,0.0,6.0 +2059,1.0,11.0 +2060,0.0,3.0 +2061,1.0,3.0 +2062,2.0,5.0 +2063,0.0,2.0 +2064,2.0,7.0 +2065,0.0,2.0 +2066,4.0,6.0 +2067,1.0,4.0 +2068,1.0,5.0 +2069,1.0,1.0 +2070,1.0,2.0 +2071,2.0,6.0 +2072,1.0,4.0 +2073,2.0,4.0 +2074,0.0,5.0 +2075,2.0,4.0 +2076,1.0,7.0 +2077,3.0,5.0 +2078,1.0,1.0 +2079,1.0,5.0 +2080,3.0,1.0 +2081,2.0,4.0 +2082,1.0,6.0 +2083,1.0,1.0 +2084,2.0,2.0 +2085,1.0,3.0 +2086,2.0,6.0 +2087,0.0,1.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,3.0,4.0 +2091,3.0,5.0 +2092,2.0,6.0 +2093,0.0,2.0 +2094,4.0,3.0 +2095,0.0,8.0 +2096,0.0,7.0 +2097,2.0,3.0 +2098,1.0,5.0 +2099,1.0,5.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/399-peak+year_c.csv b/SurgeData/399-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/399-peak+year_c.csv rename to SurgeData/399-peak+year_c.csv diff --git a/SurgeData/N=1000/399-peak+year_w.csv b/SurgeData/399-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/399-peak+year_w.csv rename to SurgeData/399-peak+year_w.csv diff --git a/SurgeData/N=1000/399-peak_c.csv b/SurgeData/399-peak_c.csv similarity index 100% rename from SurgeData/N=1000/399-peak_c.csv rename to SurgeData/399-peak_c.csv diff --git a/SurgeData/N=1000/399-peak_w.csv b/SurgeData/399-peak_w.csv similarity index 100% rename from SurgeData/N=1000/399-peak_w.csv rename to SurgeData/399-peak_w.csv diff --git a/SurgeData/N=1000/399-surge_c.csv b/SurgeData/399-surge_c.csv similarity index 100% rename from SurgeData/N=1000/399-surge_c.csv rename to SurgeData/399-surge_c.csv diff --git a/SurgeData/N=1000/399-surge_w.csv b/SurgeData/399-surge_w.csv similarity index 100% rename from SurgeData/N=1000/399-surge_w.csv rename to SurgeData/399-surge_w.csv diff --git a/SurgeData/N=1000/399-time_c.csv b/SurgeData/399-time_c.csv similarity index 100% rename from SurgeData/N=1000/399-time_c.csv rename to SurgeData/399-time_c.csv diff --git a/SurgeData/N=1000/399-time_w.csv b/SurgeData/399-time_w.csv similarity index 100% rename from SurgeData/N=1000/399-time_w.csv rename to SurgeData/399-time_w.csv diff --git a/SurgeData/N=1000/399-waterlevel_c.csv b/SurgeData/399-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/399-waterlevel_c.csv rename to SurgeData/399-waterlevel_c.csv diff --git a/SurgeData/N=1000/399-waterlevel_w.csv b/SurgeData/399-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/399-waterlevel_w.csv rename to SurgeData/399-waterlevel_w.csv diff --git a/SurgeData/4-num_storm.csv b/SurgeData/4-num_storm.csv new file mode 100644 index 00000000..21689308 --- /dev/null +++ b/SurgeData/4-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,5.0 +2022,3.0,2.0 +2023,2.0,3.0 +2024,0.0,3.0 +2025,1.0,6.0 +2026,3.0,3.0 +2027,1.0,4.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,3.0,3.0 +2031,1.0,3.0 +2032,1.0,3.0 +2033,0.0,5.0 +2034,0.0,6.0 +2035,1.0,8.0 +2036,1.0,4.0 +2037,1.0,10.0 +2038,4.0,2.0 +2039,0.0,9.0 +2040,3.0,6.0 +2041,0.0,3.0 +2042,1.0,5.0 +2043,0.0,6.0 +2044,3.0,5.0 +2045,2.0,3.0 +2046,1.0,6.0 +2047,1.0,2.0 +2048,2.0,5.0 +2049,1.0,5.0 +2050,1.0,2.0 +2051,0.0,4.0 +2052,2.0,5.0 +2053,0.0,3.0 +2054,0.0,2.0 +2055,1.0,6.0 +2056,1.0,1.0 +2057,0.0,7.0 +2058,3.0,5.0 +2059,1.0,5.0 +2060,1.0,1.0 +2061,4.0,3.0 +2062,2.0,0.0 +2063,0.0,2.0 +2064,2.0,4.0 +2065,2.0,4.0 +2066,3.0,4.0 +2067,2.0,5.0 +2068,0.0,5.0 +2069,2.0,5.0 +2070,1.0,5.0 +2071,0.0,3.0 +2072,3.0,5.0 +2073,1.0,2.0 +2074,1.0,3.0 +2075,4.0,1.0 +2076,1.0,6.0 +2077,0.0,4.0 +2078,1.0,3.0 +2079,2.0,7.0 +2080,2.0,2.0 +2081,4.0,2.0 +2082,1.0,2.0 +2083,1.0,3.0 +2084,0.0,6.0 +2085,1.0,4.0 +2086,1.0,3.0 +2087,2.0,3.0 +2088,2.0,2.0 +2089,0.0,8.0 +2090,3.0,1.0 +2091,1.0,7.0 +2092,3.0,8.0 +2093,1.0,7.0 +2094,2.0,1.0 +2095,2.0,2.0 +2096,1.0,4.0 +2097,2.0,5.0 +2098,1.0,5.0 +2099,0.0,7.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/4-peak+year_c.csv b/SurgeData/4-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/4-peak+year_c.csv rename to SurgeData/4-peak+year_c.csv diff --git a/SurgeData/N=1000/4-peak+year_w.csv b/SurgeData/4-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/4-peak+year_w.csv rename to SurgeData/4-peak+year_w.csv diff --git a/SurgeData/N=1000/4-peak_c.csv b/SurgeData/4-peak_c.csv similarity index 100% rename from SurgeData/N=1000/4-peak_c.csv rename to SurgeData/4-peak_c.csv diff --git a/SurgeData/N=1000/4-peak_w.csv b/SurgeData/4-peak_w.csv similarity index 100% rename from SurgeData/N=1000/4-peak_w.csv rename to SurgeData/4-peak_w.csv diff --git a/SurgeData/N=1000/4-surge_c.csv b/SurgeData/4-surge_c.csv similarity index 100% rename from SurgeData/N=1000/4-surge_c.csv rename to SurgeData/4-surge_c.csv diff --git a/SurgeData/N=1000/4-surge_w.csv b/SurgeData/4-surge_w.csv similarity index 100% rename from SurgeData/N=1000/4-surge_w.csv rename to SurgeData/4-surge_w.csv diff --git a/SurgeData/N=1000/4-time_c.csv b/SurgeData/4-time_c.csv similarity index 100% rename from SurgeData/N=1000/4-time_c.csv rename to SurgeData/4-time_c.csv diff --git a/SurgeData/N=1000/4-time_w.csv b/SurgeData/4-time_w.csv similarity index 100% rename from SurgeData/N=1000/4-time_w.csv rename to SurgeData/4-time_w.csv diff --git a/SurgeData/N=1000/4-waterlevel_c.csv b/SurgeData/4-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/4-waterlevel_c.csv rename to SurgeData/4-waterlevel_c.csv diff --git a/SurgeData/N=1000/4-waterlevel_w.csv b/SurgeData/4-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/4-waterlevel_w.csv rename to SurgeData/4-waterlevel_w.csv diff --git a/SurgeData/40-num_storm.csv b/SurgeData/40-num_storm.csv new file mode 100644 index 00000000..4fa22368 --- /dev/null +++ b/SurgeData/40-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,10.0 +2021,2.0,4.0 +2022,2.0,2.0 +2023,1.0,6.0 +2024,0.0,5.0 +2025,1.0,4.0 +2026,1.0,5.0 +2027,1.0,9.0 +2028,2.0,4.0 +2029,2.0,5.0 +2030,0.0,5.0 +2031,0.0,2.0 +2032,2.0,6.0 +2033,2.0,3.0 +2034,1.0,5.0 +2035,1.0,1.0 +2036,0.0,4.0 +2037,2.0,3.0 +2038,3.0,3.0 +2039,3.0,5.0 +2040,5.0,2.0 +2041,2.0,5.0 +2042,0.0,9.0 +2043,3.0,8.0 +2044,2.0,6.0 +2045,3.0,5.0 +2046,1.0,2.0 +2047,0.0,9.0 +2048,2.0,6.0 +2049,1.0,5.0 +2050,3.0,4.0 +2051,2.0,3.0 +2052,1.0,5.0 +2053,1.0,2.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,2.0,1.0 +2057,2.0,8.0 +2058,1.0,3.0 +2059,0.0,0.0 +2060,3.0,2.0 +2061,3.0,9.0 +2062,0.0,2.0 +2063,2.0,4.0 +2064,0.0,5.0 +2065,1.0,4.0 +2066,2.0,3.0 +2067,2.0,4.0 +2068,1.0,1.0 +2069,4.0,7.0 +2070,2.0,2.0 +2071,0.0,4.0 +2072,0.0,5.0 +2073,0.0,2.0 +2074,2.0,2.0 +2075,3.0,4.0 +2076,1.0,3.0 +2077,0.0,4.0 +2078,2.0,0.0 +2079,1.0,5.0 +2080,2.0,3.0 +2081,3.0,3.0 +2082,3.0,5.0 +2083,2.0,6.0 +2084,1.0,5.0 +2085,0.0,4.0 +2086,3.0,6.0 +2087,1.0,1.0 +2088,2.0,6.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,1.0,2.0 +2092,2.0,6.0 +2093,1.0,6.0 +2094,3.0,3.0 +2095,1.0,3.0 +2096,0.0,5.0 +2097,0.0,6.0 +2098,3.0,2.0 +2099,1.0,2.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/40-peak+year_c.csv b/SurgeData/40-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/40-peak+year_c.csv rename to SurgeData/40-peak+year_c.csv diff --git a/SurgeData/N=1000/40-peak+year_w.csv b/SurgeData/40-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/40-peak+year_w.csv rename to SurgeData/40-peak+year_w.csv diff --git a/SurgeData/N=1000/40-peak_c.csv b/SurgeData/40-peak_c.csv similarity index 100% rename from SurgeData/N=1000/40-peak_c.csv rename to SurgeData/40-peak_c.csv diff --git a/SurgeData/N=1000/40-peak_w.csv b/SurgeData/40-peak_w.csv similarity index 100% rename from SurgeData/N=1000/40-peak_w.csv rename to SurgeData/40-peak_w.csv diff --git a/SurgeData/N=1000/40-surge_c.csv b/SurgeData/40-surge_c.csv similarity index 100% rename from SurgeData/N=1000/40-surge_c.csv rename to SurgeData/40-surge_c.csv diff --git a/SurgeData/N=1000/40-surge_w.csv b/SurgeData/40-surge_w.csv similarity index 100% rename from SurgeData/N=1000/40-surge_w.csv rename to SurgeData/40-surge_w.csv diff --git a/SurgeData/N=1000/40-time_c.csv b/SurgeData/40-time_c.csv similarity index 100% rename from SurgeData/N=1000/40-time_c.csv rename to SurgeData/40-time_c.csv diff --git a/SurgeData/N=1000/40-time_w.csv b/SurgeData/40-time_w.csv similarity index 100% rename from SurgeData/N=1000/40-time_w.csv rename to SurgeData/40-time_w.csv diff --git a/SurgeData/N=1000/40-waterlevel_c.csv b/SurgeData/40-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/40-waterlevel_c.csv rename to SurgeData/40-waterlevel_c.csv diff --git a/SurgeData/N=1000/40-waterlevel_w.csv b/SurgeData/40-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/40-waterlevel_w.csv rename to SurgeData/40-waterlevel_w.csv diff --git a/SurgeData/400-num_storm.csv b/SurgeData/400-num_storm.csv new file mode 100644 index 00000000..cfce07d7 --- /dev/null +++ b/SurgeData/400-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,3.0 +2022,2.0,3.0 +2023,3.0,3.0 +2024,2.0,8.0 +2025,3.0,5.0 +2026,1.0,7.0 +2027,2.0,4.0 +2028,2.0,7.0 +2029,0.0,1.0 +2030,0.0,2.0 +2031,1.0,1.0 +2032,2.0,6.0 +2033,1.0,1.0 +2034,0.0,5.0 +2035,1.0,6.0 +2036,1.0,6.0 +2037,0.0,6.0 +2038,2.0,6.0 +2039,2.0,3.0 +2040,0.0,4.0 +2041,2.0,4.0 +2042,1.0,3.0 +2043,1.0,4.0 +2044,1.0,5.0 +2045,1.0,6.0 +2046,0.0,3.0 +2047,3.0,3.0 +2048,3.0,3.0 +2049,2.0,3.0 +2050,3.0,3.0 +2051,4.0,1.0 +2052,0.0,5.0 +2053,0.0,3.0 +2054,3.0,8.0 +2055,0.0,3.0 +2056,0.0,2.0 +2057,1.0,2.0 +2058,2.0,3.0 +2059,1.0,4.0 +2060,2.0,7.0 +2061,5.0,2.0 +2062,2.0,4.0 +2063,2.0,7.0 +2064,1.0,8.0 +2065,3.0,6.0 +2066,1.0,6.0 +2067,1.0,6.0 +2068,2.0,4.0 +2069,2.0,3.0 +2070,0.0,4.0 +2071,1.0,7.0 +2072,2.0,6.0 +2073,1.0,4.0 +2074,0.0,9.0 +2075,4.0,5.0 +2076,2.0,3.0 +2077,2.0,2.0 +2078,2.0,0.0 +2079,1.0,4.0 +2080,1.0,4.0 +2081,2.0,1.0 +2082,1.0,3.0 +2083,3.0,2.0 +2084,0.0,4.0 +2085,1.0,5.0 +2086,1.0,5.0 +2087,0.0,5.0 +2088,1.0,6.0 +2089,2.0,2.0 +2090,1.0,6.0 +2091,0.0,7.0 +2092,0.0,7.0 +2093,3.0,7.0 +2094,1.0,3.0 +2095,1.0,3.0 +2096,2.0,4.0 +2097,1.0,3.0 +2098,2.0,2.0 +2099,1.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/400-peak+year_c.csv b/SurgeData/400-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/400-peak+year_c.csv rename to SurgeData/400-peak+year_c.csv diff --git a/SurgeData/N=1000/400-peak+year_w.csv b/SurgeData/400-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/400-peak+year_w.csv rename to SurgeData/400-peak+year_w.csv diff --git a/SurgeData/N=1000/400-peak_c.csv b/SurgeData/400-peak_c.csv similarity index 100% rename from SurgeData/N=1000/400-peak_c.csv rename to SurgeData/400-peak_c.csv diff --git a/SurgeData/N=1000/400-peak_w.csv b/SurgeData/400-peak_w.csv similarity index 100% rename from SurgeData/N=1000/400-peak_w.csv rename to SurgeData/400-peak_w.csv diff --git a/SurgeData/N=1000/400-surge_c.csv b/SurgeData/400-surge_c.csv similarity index 100% rename from SurgeData/N=1000/400-surge_c.csv rename to SurgeData/400-surge_c.csv diff --git a/SurgeData/N=1000/400-surge_w.csv b/SurgeData/400-surge_w.csv similarity index 100% rename from SurgeData/N=1000/400-surge_w.csv rename to SurgeData/400-surge_w.csv diff --git a/SurgeData/N=1000/400-time_c.csv b/SurgeData/400-time_c.csv similarity index 100% rename from SurgeData/N=1000/400-time_c.csv rename to SurgeData/400-time_c.csv diff --git a/SurgeData/N=1000/400-time_w.csv b/SurgeData/400-time_w.csv similarity index 100% rename from SurgeData/N=1000/400-time_w.csv rename to SurgeData/400-time_w.csv diff --git a/SurgeData/N=1000/400-waterlevel_c.csv b/SurgeData/400-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/400-waterlevel_c.csv rename to SurgeData/400-waterlevel_c.csv diff --git a/SurgeData/N=1000/400-waterlevel_w.csv b/SurgeData/400-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/400-waterlevel_w.csv rename to SurgeData/400-waterlevel_w.csv diff --git a/SurgeData/401-num_storm.csv b/SurgeData/401-num_storm.csv new file mode 100644 index 00000000..9dfc6a5b --- /dev/null +++ b/SurgeData/401-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,0.0,4.0 +2022,1.0,4.0 +2023,1.0,2.0 +2024,1.0,0.0 +2025,2.0,4.0 +2026,2.0,7.0 +2027,0.0,3.0 +2028,4.0,4.0 +2029,1.0,9.0 +2030,0.0,1.0 +2031,1.0,5.0 +2032,1.0,8.0 +2033,2.0,8.0 +2034,1.0,9.0 +2035,1.0,5.0 +2036,1.0,1.0 +2037,1.0,5.0 +2038,1.0,0.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,1.0,3.0 +2042,2.0,6.0 +2043,1.0,3.0 +2044,1.0,4.0 +2045,3.0,5.0 +2046,4.0,5.0 +2047,1.0,5.0 +2048,1.0,4.0 +2049,1.0,5.0 +2050,1.0,5.0 +2051,2.0,4.0 +2052,0.0,3.0 +2053,1.0,5.0 +2054,1.0,4.0 +2055,1.0,8.0 +2056,2.0,2.0 +2057,0.0,4.0 +2058,0.0,6.0 +2059,1.0,3.0 +2060,1.0,8.0 +2061,2.0,3.0 +2062,1.0,5.0 +2063,0.0,0.0 +2064,1.0,6.0 +2065,2.0,5.0 +2066,1.0,2.0 +2067,6.0,2.0 +2068,1.0,6.0 +2069,0.0,3.0 +2070,2.0,4.0 +2071,3.0,4.0 +2072,1.0,5.0 +2073,2.0,2.0 +2074,1.0,4.0 +2075,2.0,1.0 +2076,2.0,6.0 +2077,0.0,9.0 +2078,1.0,4.0 +2079,1.0,3.0 +2080,0.0,5.0 +2081,0.0,5.0 +2082,1.0,2.0 +2083,0.0,3.0 +2084,3.0,2.0 +2085,1.0,3.0 +2086,0.0,8.0 +2087,0.0,5.0 +2088,0.0,4.0 +2089,3.0,4.0 +2090,3.0,4.0 +2091,2.0,2.0 +2092,3.0,4.0 +2093,1.0,5.0 +2094,2.0,6.0 +2095,0.0,6.0 +2096,2.0,3.0 +2097,3.0,2.0 +2098,1.0,5.0 +2099,4.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/401-peak+year_c.csv b/SurgeData/401-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/401-peak+year_c.csv rename to SurgeData/401-peak+year_c.csv diff --git a/SurgeData/N=1000/401-peak+year_w.csv b/SurgeData/401-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/401-peak+year_w.csv rename to SurgeData/401-peak+year_w.csv diff --git a/SurgeData/N=1000/401-peak_c.csv b/SurgeData/401-peak_c.csv similarity index 100% rename from SurgeData/N=1000/401-peak_c.csv rename to SurgeData/401-peak_c.csv diff --git a/SurgeData/N=1000/401-peak_w.csv b/SurgeData/401-peak_w.csv similarity index 100% rename from SurgeData/N=1000/401-peak_w.csv rename to SurgeData/401-peak_w.csv diff --git a/SurgeData/N=1000/401-surge_c.csv b/SurgeData/401-surge_c.csv similarity index 100% rename from SurgeData/N=1000/401-surge_c.csv rename to SurgeData/401-surge_c.csv diff --git a/SurgeData/N=1000/401-surge_w.csv b/SurgeData/401-surge_w.csv similarity index 100% rename from SurgeData/N=1000/401-surge_w.csv rename to SurgeData/401-surge_w.csv diff --git a/SurgeData/N=1000/401-time_c.csv b/SurgeData/401-time_c.csv similarity index 100% rename from SurgeData/N=1000/401-time_c.csv rename to SurgeData/401-time_c.csv diff --git a/SurgeData/N=1000/401-time_w.csv b/SurgeData/401-time_w.csv similarity index 100% rename from SurgeData/N=1000/401-time_w.csv rename to SurgeData/401-time_w.csv diff --git a/SurgeData/N=1000/401-waterlevel_c.csv b/SurgeData/401-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/401-waterlevel_c.csv rename to SurgeData/401-waterlevel_c.csv diff --git a/SurgeData/N=1000/401-waterlevel_w.csv b/SurgeData/401-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/401-waterlevel_w.csv rename to SurgeData/401-waterlevel_w.csv diff --git a/SurgeData/402-num_storm.csv b/SurgeData/402-num_storm.csv new file mode 100644 index 00000000..3d0166c5 --- /dev/null +++ b/SurgeData/402-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,2.0,2.0 +2022,1.0,6.0 +2023,1.0,4.0 +2024,2.0,2.0 +2025,4.0,7.0 +2026,6.0,2.0 +2027,0.0,6.0 +2028,3.0,3.0 +2029,1.0,7.0 +2030,2.0,2.0 +2031,3.0,5.0 +2032,1.0,6.0 +2033,2.0,1.0 +2034,0.0,2.0 +2035,2.0,5.0 +2036,3.0,5.0 +2037,2.0,4.0 +2038,2.0,5.0 +2039,0.0,1.0 +2040,0.0,4.0 +2041,2.0,6.0 +2042,5.0,1.0 +2043,3.0,2.0 +2044,0.0,6.0 +2045,3.0,5.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,1.0,2.0 +2050,1.0,1.0 +2051,1.0,4.0 +2052,2.0,5.0 +2053,1.0,2.0 +2054,2.0,7.0 +2055,3.0,4.0 +2056,2.0,3.0 +2057,2.0,3.0 +2058,4.0,2.0 +2059,0.0,3.0 +2060,2.0,6.0 +2061,0.0,4.0 +2062,2.0,6.0 +2063,3.0,0.0 +2064,0.0,3.0 +2065,0.0,1.0 +2066,1.0,5.0 +2067,2.0,3.0 +2068,0.0,5.0 +2069,3.0,4.0 +2070,0.0,1.0 +2071,3.0,7.0 +2072,2.0,7.0 +2073,1.0,4.0 +2074,0.0,11.0 +2075,3.0,5.0 +2076,0.0,5.0 +2077,1.0,3.0 +2078,7.0,6.0 +2079,0.0,7.0 +2080,0.0,4.0 +2081,1.0,5.0 +2082,2.0,2.0 +2083,1.0,3.0 +2084,2.0,7.0 +2085,2.0,9.0 +2086,1.0,4.0 +2087,1.0,4.0 +2088,1.0,5.0 +2089,2.0,2.0 +2090,1.0,9.0 +2091,1.0,3.0 +2092,1.0,4.0 +2093,1.0,4.0 +2094,2.0,5.0 +2095,1.0,2.0 +2096,2.0,5.0 +2097,3.0,4.0 +2098,1.0,4.0 +2099,3.0,6.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/402-peak+year_c.csv b/SurgeData/402-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/402-peak+year_c.csv rename to SurgeData/402-peak+year_c.csv diff --git a/SurgeData/N=1000/402-peak+year_w.csv b/SurgeData/402-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/402-peak+year_w.csv rename to SurgeData/402-peak+year_w.csv diff --git a/SurgeData/N=1000/402-peak_c.csv b/SurgeData/402-peak_c.csv similarity index 100% rename from SurgeData/N=1000/402-peak_c.csv rename to SurgeData/402-peak_c.csv diff --git a/SurgeData/N=1000/402-peak_w.csv b/SurgeData/402-peak_w.csv similarity index 100% rename from SurgeData/N=1000/402-peak_w.csv rename to SurgeData/402-peak_w.csv diff --git a/SurgeData/N=1000/402-surge_c.csv b/SurgeData/402-surge_c.csv similarity index 100% rename from SurgeData/N=1000/402-surge_c.csv rename to SurgeData/402-surge_c.csv diff --git a/SurgeData/N=1000/402-surge_w.csv b/SurgeData/402-surge_w.csv similarity index 100% rename from SurgeData/N=1000/402-surge_w.csv rename to SurgeData/402-surge_w.csv diff --git a/SurgeData/N=1000/402-time_c.csv b/SurgeData/402-time_c.csv similarity index 100% rename from SurgeData/N=1000/402-time_c.csv rename to SurgeData/402-time_c.csv diff --git a/SurgeData/N=1000/402-time_w.csv b/SurgeData/402-time_w.csv similarity index 100% rename from SurgeData/N=1000/402-time_w.csv rename to SurgeData/402-time_w.csv diff --git a/SurgeData/N=1000/402-waterlevel_c.csv b/SurgeData/402-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/402-waterlevel_c.csv rename to SurgeData/402-waterlevel_c.csv diff --git a/SurgeData/N=1000/402-waterlevel_w.csv b/SurgeData/402-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/402-waterlevel_w.csv rename to SurgeData/402-waterlevel_w.csv diff --git a/SurgeData/403-num_storm.csv b/SurgeData/403-num_storm.csv new file mode 100644 index 00000000..bebbbdd9 --- /dev/null +++ b/SurgeData/403-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,3.0 +2022,2.0,4.0 +2023,1.0,4.0 +2024,1.0,2.0 +2025,2.0,5.0 +2026,1.0,5.0 +2027,0.0,6.0 +2028,0.0,9.0 +2029,1.0,2.0 +2030,0.0,5.0 +2031,1.0,4.0 +2032,5.0,4.0 +2033,2.0,6.0 +2034,0.0,3.0 +2035,0.0,5.0 +2036,3.0,4.0 +2037,0.0,3.0 +2038,0.0,2.0 +2039,1.0,5.0 +2040,1.0,0.0 +2041,1.0,3.0 +2042,2.0,4.0 +2043,3.0,4.0 +2044,1.0,2.0 +2045,3.0,5.0 +2046,0.0,9.0 +2047,2.0,8.0 +2048,2.0,8.0 +2049,3.0,4.0 +2050,1.0,2.0 +2051,4.0,7.0 +2052,1.0,3.0 +2053,1.0,2.0 +2054,1.0,6.0 +2055,0.0,3.0 +2056,2.0,5.0 +2057,0.0,2.0 +2058,0.0,4.0 +2059,2.0,5.0 +2060,0.0,7.0 +2061,1.0,0.0 +2062,5.0,1.0 +2063,1.0,9.0 +2064,1.0,2.0 +2065,2.0,5.0 +2066,0.0,1.0 +2067,0.0,3.0 +2068,2.0,4.0 +2069,0.0,3.0 +2070,2.0,2.0 +2071,5.0,3.0 +2072,0.0,4.0 +2073,3.0,2.0 +2074,0.0,4.0 +2075,1.0,2.0 +2076,3.0,4.0 +2077,2.0,4.0 +2078,2.0,0.0 +2079,3.0,6.0 +2080,0.0,2.0 +2081,1.0,7.0 +2082,0.0,5.0 +2083,2.0,2.0 +2084,1.0,4.0 +2085,2.0,6.0 +2086,0.0,6.0 +2087,0.0,1.0 +2088,0.0,4.0 +2089,1.0,5.0 +2090,0.0,7.0 +2091,2.0,2.0 +2092,0.0,3.0 +2093,3.0,5.0 +2094,1.0,4.0 +2095,0.0,4.0 +2096,2.0,3.0 +2097,3.0,8.0 +2098,0.0,2.0 +2099,1.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/403-peak+year_c.csv b/SurgeData/403-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/403-peak+year_c.csv rename to SurgeData/403-peak+year_c.csv diff --git a/SurgeData/N=1000/403-peak+year_w.csv b/SurgeData/403-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/403-peak+year_w.csv rename to SurgeData/403-peak+year_w.csv diff --git a/SurgeData/N=1000/403-peak_c.csv b/SurgeData/403-peak_c.csv similarity index 100% rename from SurgeData/N=1000/403-peak_c.csv rename to SurgeData/403-peak_c.csv diff --git a/SurgeData/N=1000/403-peak_w.csv b/SurgeData/403-peak_w.csv similarity index 100% rename from SurgeData/N=1000/403-peak_w.csv rename to SurgeData/403-peak_w.csv diff --git a/SurgeData/N=1000/403-surge_c.csv b/SurgeData/403-surge_c.csv similarity index 100% rename from SurgeData/N=1000/403-surge_c.csv rename to SurgeData/403-surge_c.csv diff --git a/SurgeData/N=1000/403-surge_w.csv b/SurgeData/403-surge_w.csv similarity index 100% rename from SurgeData/N=1000/403-surge_w.csv rename to SurgeData/403-surge_w.csv diff --git a/SurgeData/N=1000/403-time_c.csv b/SurgeData/403-time_c.csv similarity index 100% rename from SurgeData/N=1000/403-time_c.csv rename to SurgeData/403-time_c.csv diff --git a/SurgeData/N=1000/403-time_w.csv b/SurgeData/403-time_w.csv similarity index 100% rename from SurgeData/N=1000/403-time_w.csv rename to SurgeData/403-time_w.csv diff --git a/SurgeData/N=1000/403-waterlevel_c.csv b/SurgeData/403-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/403-waterlevel_c.csv rename to SurgeData/403-waterlevel_c.csv diff --git a/SurgeData/N=1000/403-waterlevel_w.csv b/SurgeData/403-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/403-waterlevel_w.csv rename to SurgeData/403-waterlevel_w.csv diff --git a/SurgeData/404-num_storm.csv b/SurgeData/404-num_storm.csv new file mode 100644 index 00000000..6c60942d --- /dev/null +++ b/SurgeData/404-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,3.0 +2022,2.0,3.0 +2023,2.0,9.0 +2024,2.0,5.0 +2025,0.0,2.0 +2026,1.0,1.0 +2027,1.0,4.0 +2028,1.0,2.0 +2029,1.0,3.0 +2030,1.0,7.0 +2031,2.0,9.0 +2032,1.0,5.0 +2033,2.0,1.0 +2034,1.0,6.0 +2035,0.0,3.0 +2036,4.0,5.0 +2037,0.0,5.0 +2038,2.0,3.0 +2039,1.0,5.0 +2040,2.0,3.0 +2041,2.0,7.0 +2042,0.0,7.0 +2043,3.0,10.0 +2044,1.0,2.0 +2045,4.0,3.0 +2046,2.0,2.0 +2047,2.0,9.0 +2048,0.0,4.0 +2049,0.0,6.0 +2050,0.0,5.0 +2051,2.0,3.0 +2052,2.0,3.0 +2053,2.0,3.0 +2054,0.0,5.0 +2055,1.0,4.0 +2056,1.0,2.0 +2057,4.0,3.0 +2058,1.0,4.0 +2059,3.0,3.0 +2060,0.0,5.0 +2061,2.0,5.0 +2062,1.0,6.0 +2063,2.0,1.0 +2064,2.0,4.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,1.0,1.0 +2068,2.0,1.0 +2069,3.0,4.0 +2070,4.0,3.0 +2071,2.0,4.0 +2072,4.0,2.0 +2073,5.0,2.0 +2074,3.0,4.0 +2075,1.0,5.0 +2076,0.0,5.0 +2077,0.0,3.0 +2078,2.0,4.0 +2079,0.0,3.0 +2080,0.0,9.0 +2081,0.0,1.0 +2082,1.0,2.0 +2083,2.0,4.0 +2084,1.0,7.0 +2085,0.0,4.0 +2086,3.0,6.0 +2087,1.0,5.0 +2088,0.0,5.0 +2089,0.0,5.0 +2090,1.0,2.0 +2091,1.0,7.0 +2092,4.0,1.0 +2093,2.0,5.0 +2094,2.0,8.0 +2095,4.0,6.0 +2096,3.0,2.0 +2097,0.0,4.0 +2098,0.0,3.0 +2099,5.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/404-peak+year_c.csv b/SurgeData/404-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/404-peak+year_c.csv rename to SurgeData/404-peak+year_c.csv diff --git a/SurgeData/N=1000/404-peak+year_w.csv b/SurgeData/404-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/404-peak+year_w.csv rename to SurgeData/404-peak+year_w.csv diff --git a/SurgeData/N=1000/404-peak_c.csv b/SurgeData/404-peak_c.csv similarity index 100% rename from SurgeData/N=1000/404-peak_c.csv rename to SurgeData/404-peak_c.csv diff --git a/SurgeData/N=1000/404-peak_w.csv b/SurgeData/404-peak_w.csv similarity index 100% rename from SurgeData/N=1000/404-peak_w.csv rename to SurgeData/404-peak_w.csv diff --git a/SurgeData/N=1000/404-surge_c.csv b/SurgeData/404-surge_c.csv similarity index 100% rename from SurgeData/N=1000/404-surge_c.csv rename to SurgeData/404-surge_c.csv diff --git a/SurgeData/N=1000/404-surge_w.csv b/SurgeData/404-surge_w.csv similarity index 100% rename from SurgeData/N=1000/404-surge_w.csv rename to SurgeData/404-surge_w.csv diff --git a/SurgeData/N=1000/404-time_c.csv b/SurgeData/404-time_c.csv similarity index 100% rename from SurgeData/N=1000/404-time_c.csv rename to SurgeData/404-time_c.csv diff --git a/SurgeData/N=1000/404-time_w.csv b/SurgeData/404-time_w.csv similarity index 100% rename from SurgeData/N=1000/404-time_w.csv rename to SurgeData/404-time_w.csv diff --git a/SurgeData/N=1000/404-waterlevel_c.csv b/SurgeData/404-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/404-waterlevel_c.csv rename to SurgeData/404-waterlevel_c.csv diff --git a/SurgeData/N=1000/404-waterlevel_w.csv b/SurgeData/404-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/404-waterlevel_w.csv rename to SurgeData/404-waterlevel_w.csv diff --git a/SurgeData/N=1000/405-peak+year_c.csv b/SurgeData/405-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/405-peak+year_c.csv rename to SurgeData/405-peak+year_c.csv diff --git a/SurgeData/N=1000/405-peak+year_w.csv b/SurgeData/405-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/405-peak+year_w.csv rename to SurgeData/405-peak+year_w.csv diff --git a/SurgeData/N=1000/405-peak_c.csv b/SurgeData/405-peak_c.csv similarity index 100% rename from SurgeData/N=1000/405-peak_c.csv rename to SurgeData/405-peak_c.csv diff --git a/SurgeData/N=1000/405-peak_w.csv b/SurgeData/405-peak_w.csv similarity index 100% rename from SurgeData/N=1000/405-peak_w.csv rename to SurgeData/405-peak_w.csv diff --git a/SurgeData/N=1000/405-surge_c.csv b/SurgeData/405-surge_c.csv similarity index 100% rename from SurgeData/N=1000/405-surge_c.csv rename to SurgeData/405-surge_c.csv diff --git a/SurgeData/N=1000/405-surge_w.csv b/SurgeData/405-surge_w.csv similarity index 100% rename from SurgeData/N=1000/405-surge_w.csv rename to SurgeData/405-surge_w.csv diff --git a/SurgeData/N=1000/405-time_c.csv b/SurgeData/405-time_c.csv similarity index 100% rename from SurgeData/N=1000/405-time_c.csv rename to SurgeData/405-time_c.csv diff --git a/SurgeData/N=1000/405-time_w.csv b/SurgeData/405-time_w.csv similarity index 100% rename from SurgeData/N=1000/405-time_w.csv rename to SurgeData/405-time_w.csv diff --git a/SurgeData/N=1000/405-waterlevel_c.csv b/SurgeData/405-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/405-waterlevel_c.csv rename to SurgeData/405-waterlevel_c.csv diff --git a/SurgeData/N=1000/405-waterlevel_w.csv b/SurgeData/405-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/405-waterlevel_w.csv rename to SurgeData/405-waterlevel_w.csv diff --git a/SurgeData/406-num_storm.csv b/SurgeData/406-num_storm.csv new file mode 100644 index 00000000..16fc22e0 --- /dev/null +++ b/SurgeData/406-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,1.0,4.0 +2022,2.0,6.0 +2023,3.0,6.0 +2024,3.0,3.0 +2025,2.0,5.0 +2026,3.0,1.0 +2027,0.0,7.0 +2028,4.0,4.0 +2029,2.0,1.0 +2030,1.0,8.0 +2031,2.0,2.0 +2032,4.0,3.0 +2033,0.0,7.0 +2034,0.0,2.0 +2035,0.0,3.0 +2036,3.0,3.0 +2037,1.0,2.0 +2038,3.0,1.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,0.0,5.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,2.0,6.0 +2045,2.0,2.0 +2046,2.0,2.0 +2047,0.0,6.0 +2048,2.0,8.0 +2049,2.0,3.0 +2050,3.0,6.0 +2051,2.0,5.0 +2052,2.0,6.0 +2053,2.0,3.0 +2054,3.0,9.0 +2055,3.0,2.0 +2056,3.0,5.0 +2057,0.0,3.0 +2058,0.0,4.0 +2059,0.0,6.0 +2060,3.0,2.0 +2061,3.0,3.0 +2062,1.0,5.0 +2063,2.0,4.0 +2064,0.0,5.0 +2065,0.0,4.0 +2066,0.0,0.0 +2067,2.0,6.0 +2068,1.0,4.0 +2069,2.0,6.0 +2070,4.0,3.0 +2071,0.0,3.0 +2072,1.0,5.0 +2073,5.0,5.0 +2074,2.0,6.0 +2075,1.0,4.0 +2076,2.0,5.0 +2077,1.0,3.0 +2078,1.0,4.0 +2079,2.0,5.0 +2080,3.0,3.0 +2081,4.0,2.0 +2082,2.0,5.0 +2083,1.0,4.0 +2084,1.0,4.0 +2085,0.0,0.0 +2086,3.0,2.0 +2087,1.0,2.0 +2088,1.0,1.0 +2089,2.0,7.0 +2090,1.0,5.0 +2091,0.0,4.0 +2092,2.0,6.0 +2093,2.0,3.0 +2094,1.0,5.0 +2095,2.0,5.0 +2096,3.0,5.0 +2097,2.0,5.0 +2098,1.0,7.0 +2099,0.0,4.0 +2100,1.0,9.0 diff --git a/SurgeData/N=1000/406-peak+year_c.csv b/SurgeData/406-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/406-peak+year_c.csv rename to SurgeData/406-peak+year_c.csv diff --git a/SurgeData/N=1000/406-peak+year_w.csv b/SurgeData/406-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/406-peak+year_w.csv rename to SurgeData/406-peak+year_w.csv diff --git a/SurgeData/N=1000/406-peak_c.csv b/SurgeData/406-peak_c.csv similarity index 100% rename from SurgeData/N=1000/406-peak_c.csv rename to SurgeData/406-peak_c.csv diff --git a/SurgeData/N=1000/406-peak_w.csv b/SurgeData/406-peak_w.csv similarity index 100% rename from SurgeData/N=1000/406-peak_w.csv rename to SurgeData/406-peak_w.csv diff --git a/SurgeData/N=1000/406-surge_c.csv b/SurgeData/406-surge_c.csv similarity index 100% rename from SurgeData/N=1000/406-surge_c.csv rename to SurgeData/406-surge_c.csv diff --git a/SurgeData/N=1000/406-surge_w.csv b/SurgeData/406-surge_w.csv similarity index 100% rename from SurgeData/N=1000/406-surge_w.csv rename to SurgeData/406-surge_w.csv diff --git a/SurgeData/N=1000/406-time_c.csv b/SurgeData/406-time_c.csv similarity index 100% rename from SurgeData/N=1000/406-time_c.csv rename to SurgeData/406-time_c.csv diff --git a/SurgeData/N=1000/406-time_w.csv b/SurgeData/406-time_w.csv similarity index 100% rename from SurgeData/N=1000/406-time_w.csv rename to SurgeData/406-time_w.csv diff --git a/SurgeData/N=1000/406-waterlevel_c.csv b/SurgeData/406-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/406-waterlevel_c.csv rename to SurgeData/406-waterlevel_c.csv diff --git a/SurgeData/N=1000/406-waterlevel_w.csv b/SurgeData/406-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/406-waterlevel_w.csv rename to SurgeData/406-waterlevel_w.csv diff --git a/SurgeData/N=1000/407-peak+year_c.csv b/SurgeData/407-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/407-peak+year_c.csv rename to SurgeData/407-peak+year_c.csv diff --git a/SurgeData/N=1000/407-peak+year_w.csv b/SurgeData/407-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/407-peak+year_w.csv rename to SurgeData/407-peak+year_w.csv diff --git a/SurgeData/N=1000/407-peak_c.csv b/SurgeData/407-peak_c.csv similarity index 100% rename from SurgeData/N=1000/407-peak_c.csv rename to SurgeData/407-peak_c.csv diff --git a/SurgeData/N=1000/407-peak_w.csv b/SurgeData/407-peak_w.csv similarity index 100% rename from SurgeData/N=1000/407-peak_w.csv rename to SurgeData/407-peak_w.csv diff --git a/SurgeData/N=1000/407-surge_c.csv b/SurgeData/407-surge_c.csv similarity index 100% rename from SurgeData/N=1000/407-surge_c.csv rename to SurgeData/407-surge_c.csv diff --git a/SurgeData/N=1000/407-surge_w.csv b/SurgeData/407-surge_w.csv similarity index 100% rename from SurgeData/N=1000/407-surge_w.csv rename to SurgeData/407-surge_w.csv diff --git a/SurgeData/N=1000/407-time_c.csv b/SurgeData/407-time_c.csv similarity index 100% rename from SurgeData/N=1000/407-time_c.csv rename to SurgeData/407-time_c.csv diff --git a/SurgeData/N=1000/407-time_w.csv b/SurgeData/407-time_w.csv similarity index 100% rename from SurgeData/N=1000/407-time_w.csv rename to SurgeData/407-time_w.csv diff --git a/SurgeData/N=1000/407-waterlevel_c.csv b/SurgeData/407-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/407-waterlevel_c.csv rename to SurgeData/407-waterlevel_c.csv diff --git a/SurgeData/N=1000/407-waterlevel_w.csv b/SurgeData/407-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/407-waterlevel_w.csv rename to SurgeData/407-waterlevel_w.csv diff --git a/SurgeData/408-num_storm.csv b/SurgeData/408-num_storm.csv new file mode 100644 index 00000000..6199bf66 --- /dev/null +++ b/SurgeData/408-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,11.0 +2021,1.0,4.0 +2022,1.0,8.0 +2023,4.0,3.0 +2024,0.0,3.0 +2025,2.0,5.0 +2026,3.0,2.0 +2027,4.0,4.0 +2028,6.0,5.0 +2029,2.0,1.0 +2030,2.0,4.0 +2031,1.0,5.0 +2032,1.0,5.0 +2033,0.0,2.0 +2034,1.0,1.0 +2035,0.0,4.0 +2036,0.0,6.0 +2037,2.0,2.0 +2038,1.0,5.0 +2039,0.0,7.0 +2040,2.0,5.0 +2041,0.0,5.0 +2042,1.0,5.0 +2043,4.0,5.0 +2044,1.0,4.0 +2045,0.0,4.0 +2046,3.0,6.0 +2047,1.0,6.0 +2048,2.0,2.0 +2049,0.0,4.0 +2050,1.0,4.0 +2051,1.0,6.0 +2052,1.0,6.0 +2053,3.0,5.0 +2054,5.0,3.0 +2055,0.0,6.0 +2056,0.0,6.0 +2057,1.0,7.0 +2058,1.0,4.0 +2059,1.0,6.0 +2060,3.0,4.0 +2061,0.0,4.0 +2062,4.0,5.0 +2063,2.0,6.0 +2064,2.0,6.0 +2065,1.0,4.0 +2066,3.0,6.0 +2067,4.0,4.0 +2068,3.0,5.0 +2069,3.0,4.0 +2070,3.0,3.0 +2071,1.0,7.0 +2072,3.0,3.0 +2073,2.0,5.0 +2074,2.0,2.0 +2075,2.0,6.0 +2076,2.0,1.0 +2077,1.0,3.0 +2078,1.0,3.0 +2079,0.0,2.0 +2080,1.0,3.0 +2081,3.0,4.0 +2082,3.0,1.0 +2083,0.0,6.0 +2084,4.0,6.0 +2085,1.0,4.0 +2086,0.0,3.0 +2087,3.0,5.0 +2088,2.0,6.0 +2089,1.0,2.0 +2090,2.0,10.0 +2091,3.0,8.0 +2092,1.0,6.0 +2093,2.0,2.0 +2094,4.0,6.0 +2095,0.0,3.0 +2096,1.0,3.0 +2097,1.0,3.0 +2098,1.0,3.0 +2099,1.0,2.0 +2100,5.0,3.0 diff --git a/SurgeData/N=1000/408-peak+year_c.csv b/SurgeData/408-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/408-peak+year_c.csv rename to SurgeData/408-peak+year_c.csv diff --git a/SurgeData/N=1000/408-peak+year_w.csv b/SurgeData/408-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/408-peak+year_w.csv rename to SurgeData/408-peak+year_w.csv diff --git a/SurgeData/N=1000/408-peak_c.csv b/SurgeData/408-peak_c.csv similarity index 100% rename from SurgeData/N=1000/408-peak_c.csv rename to SurgeData/408-peak_c.csv diff --git a/SurgeData/N=1000/408-peak_w.csv b/SurgeData/408-peak_w.csv similarity index 100% rename from SurgeData/N=1000/408-peak_w.csv rename to SurgeData/408-peak_w.csv diff --git a/SurgeData/N=1000/408-surge_c.csv b/SurgeData/408-surge_c.csv similarity index 100% rename from SurgeData/N=1000/408-surge_c.csv rename to SurgeData/408-surge_c.csv diff --git a/SurgeData/N=1000/408-surge_w.csv b/SurgeData/408-surge_w.csv similarity index 100% rename from SurgeData/N=1000/408-surge_w.csv rename to SurgeData/408-surge_w.csv diff --git a/SurgeData/N=1000/408-time_c.csv b/SurgeData/408-time_c.csv similarity index 100% rename from SurgeData/N=1000/408-time_c.csv rename to SurgeData/408-time_c.csv diff --git a/SurgeData/N=1000/408-time_w.csv b/SurgeData/408-time_w.csv similarity index 100% rename from SurgeData/N=1000/408-time_w.csv rename to SurgeData/408-time_w.csv diff --git a/SurgeData/N=1000/408-waterlevel_c.csv b/SurgeData/408-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/408-waterlevel_c.csv rename to SurgeData/408-waterlevel_c.csv diff --git a/SurgeData/N=1000/408-waterlevel_w.csv b/SurgeData/408-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/408-waterlevel_w.csv rename to SurgeData/408-waterlevel_w.csv diff --git a/SurgeData/409-num_storm.csv b/SurgeData/409-num_storm.csv new file mode 100644 index 00000000..dde525d2 --- /dev/null +++ b/SurgeData/409-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,1.0,6.0 +2022,1.0,1.0 +2023,0.0,7.0 +2024,2.0,7.0 +2025,0.0,2.0 +2026,0.0,2.0 +2027,1.0,2.0 +2028,0.0,4.0 +2029,0.0,1.0 +2030,1.0,3.0 +2031,1.0,6.0 +2032,1.0,4.0 +2033,0.0,4.0 +2034,0.0,8.0 +2035,4.0,5.0 +2036,1.0,0.0 +2037,1.0,4.0 +2038,0.0,5.0 +2039,1.0,4.0 +2040,0.0,4.0 +2041,3.0,2.0 +2042,3.0,8.0 +2043,3.0,9.0 +2044,1.0,2.0 +2045,0.0,5.0 +2046,4.0,3.0 +2047,1.0,6.0 +2048,2.0,3.0 +2049,2.0,4.0 +2050,1.0,6.0 +2051,2.0,7.0 +2052,1.0,3.0 +2053,2.0,6.0 +2054,1.0,9.0 +2055,0.0,4.0 +2056,2.0,5.0 +2057,2.0,6.0 +2058,1.0,7.0 +2059,0.0,4.0 +2060,0.0,1.0 +2061,2.0,7.0 +2062,3.0,4.0 +2063,0.0,5.0 +2064,1.0,10.0 +2065,0.0,6.0 +2066,0.0,5.0 +2067,1.0,3.0 +2068,2.0,2.0 +2069,4.0,4.0 +2070,0.0,4.0 +2071,3.0,3.0 +2072,1.0,5.0 +2073,0.0,3.0 +2074,3.0,4.0 +2075,0.0,5.0 +2076,3.0,2.0 +2077,4.0,6.0 +2078,0.0,3.0 +2079,0.0,5.0 +2080,2.0,3.0 +2081,1.0,4.0 +2082,2.0,3.0 +2083,2.0,2.0 +2084,2.0,6.0 +2085,0.0,4.0 +2086,1.0,5.0 +2087,0.0,3.0 +2088,2.0,5.0 +2089,1.0,4.0 +2090,1.0,3.0 +2091,1.0,7.0 +2092,2.0,1.0 +2093,2.0,3.0 +2094,0.0,3.0 +2095,0.0,5.0 +2096,4.0,4.0 +2097,2.0,3.0 +2098,1.0,6.0 +2099,1.0,4.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/409-peak+year_c.csv b/SurgeData/409-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/409-peak+year_c.csv rename to SurgeData/409-peak+year_c.csv diff --git a/SurgeData/N=1000/409-peak+year_w.csv b/SurgeData/409-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/409-peak+year_w.csv rename to SurgeData/409-peak+year_w.csv diff --git a/SurgeData/N=1000/409-peak_c.csv b/SurgeData/409-peak_c.csv similarity index 100% rename from SurgeData/N=1000/409-peak_c.csv rename to SurgeData/409-peak_c.csv diff --git a/SurgeData/N=1000/409-peak_w.csv b/SurgeData/409-peak_w.csv similarity index 100% rename from SurgeData/N=1000/409-peak_w.csv rename to SurgeData/409-peak_w.csv diff --git a/SurgeData/N=1000/409-surge_c.csv b/SurgeData/409-surge_c.csv similarity index 100% rename from SurgeData/N=1000/409-surge_c.csv rename to SurgeData/409-surge_c.csv diff --git a/SurgeData/N=1000/409-surge_w.csv b/SurgeData/409-surge_w.csv similarity index 100% rename from SurgeData/N=1000/409-surge_w.csv rename to SurgeData/409-surge_w.csv diff --git a/SurgeData/N=1000/409-time_c.csv b/SurgeData/409-time_c.csv similarity index 100% rename from SurgeData/N=1000/409-time_c.csv rename to SurgeData/409-time_c.csv diff --git a/SurgeData/N=1000/409-time_w.csv b/SurgeData/409-time_w.csv similarity index 100% rename from SurgeData/N=1000/409-time_w.csv rename to SurgeData/409-time_w.csv diff --git a/SurgeData/N=1000/409-waterlevel_c.csv b/SurgeData/409-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/409-waterlevel_c.csv rename to SurgeData/409-waterlevel_c.csv diff --git a/SurgeData/N=1000/409-waterlevel_w.csv b/SurgeData/409-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/409-waterlevel_w.csv rename to SurgeData/409-waterlevel_w.csv diff --git a/SurgeData/41-num_storm.csv b/SurgeData/41-num_storm.csv new file mode 100644 index 00000000..8af16e02 --- /dev/null +++ b/SurgeData/41-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,2.0,6.0 +2022,1.0,6.0 +2023,1.0,4.0 +2024,0.0,4.0 +2025,1.0,4.0 +2026,2.0,2.0 +2027,2.0,3.0 +2028,3.0,3.0 +2029,4.0,4.0 +2030,1.0,7.0 +2031,1.0,4.0 +2032,1.0,3.0 +2033,1.0,4.0 +2034,1.0,6.0 +2035,2.0,5.0 +2036,4.0,3.0 +2037,1.0,2.0 +2038,0.0,4.0 +2039,1.0,2.0 +2040,4.0,1.0 +2041,1.0,9.0 +2042,3.0,2.0 +2043,0.0,3.0 +2044,0.0,4.0 +2045,3.0,5.0 +2046,2.0,5.0 +2047,0.0,5.0 +2048,2.0,4.0 +2049,0.0,6.0 +2050,2.0,5.0 +2051,1.0,4.0 +2052,0.0,6.0 +2053,1.0,5.0 +2054,2.0,6.0 +2055,1.0,2.0 +2056,0.0,4.0 +2057,2.0,2.0 +2058,1.0,5.0 +2059,1.0,2.0 +2060,2.0,4.0 +2061,3.0,3.0 +2062,0.0,7.0 +2063,1.0,7.0 +2064,1.0,4.0 +2065,1.0,6.0 +2066,3.0,4.0 +2067,2.0,4.0 +2068,2.0,6.0 +2069,1.0,6.0 +2070,1.0,7.0 +2071,1.0,2.0 +2072,1.0,2.0 +2073,3.0,8.0 +2074,0.0,5.0 +2075,2.0,1.0 +2076,1.0,3.0 +2077,1.0,3.0 +2078,0.0,1.0 +2079,1.0,5.0 +2080,1.0,6.0 +2081,1.0,4.0 +2082,2.0,7.0 +2083,1.0,5.0 +2084,3.0,9.0 +2085,2.0,3.0 +2086,2.0,1.0 +2087,2.0,2.0 +2088,1.0,1.0 +2089,2.0,5.0 +2090,2.0,1.0 +2091,0.0,7.0 +2092,0.0,5.0 +2093,5.0,3.0 +2094,3.0,3.0 +2095,5.0,8.0 +2096,1.0,5.0 +2097,3.0,4.0 +2098,1.0,2.0 +2099,1.0,8.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/41-peak+year_c.csv b/SurgeData/41-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/41-peak+year_c.csv rename to SurgeData/41-peak+year_c.csv diff --git a/SurgeData/N=1000/41-peak+year_w.csv b/SurgeData/41-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/41-peak+year_w.csv rename to SurgeData/41-peak+year_w.csv diff --git a/SurgeData/N=1000/41-peak_c.csv b/SurgeData/41-peak_c.csv similarity index 100% rename from SurgeData/N=1000/41-peak_c.csv rename to SurgeData/41-peak_c.csv diff --git a/SurgeData/N=1000/41-peak_w.csv b/SurgeData/41-peak_w.csv similarity index 100% rename from SurgeData/N=1000/41-peak_w.csv rename to SurgeData/41-peak_w.csv diff --git a/SurgeData/N=1000/41-surge_c.csv b/SurgeData/41-surge_c.csv similarity index 100% rename from SurgeData/N=1000/41-surge_c.csv rename to SurgeData/41-surge_c.csv diff --git a/SurgeData/N=1000/41-surge_w.csv b/SurgeData/41-surge_w.csv similarity index 100% rename from SurgeData/N=1000/41-surge_w.csv rename to SurgeData/41-surge_w.csv diff --git a/SurgeData/N=1000/41-time_c.csv b/SurgeData/41-time_c.csv similarity index 100% rename from SurgeData/N=1000/41-time_c.csv rename to SurgeData/41-time_c.csv diff --git a/SurgeData/N=1000/41-time_w.csv b/SurgeData/41-time_w.csv similarity index 100% rename from SurgeData/N=1000/41-time_w.csv rename to SurgeData/41-time_w.csv diff --git a/SurgeData/N=1000/41-waterlevel_c.csv b/SurgeData/41-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/41-waterlevel_c.csv rename to SurgeData/41-waterlevel_c.csv diff --git a/SurgeData/N=1000/41-waterlevel_w.csv b/SurgeData/41-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/41-waterlevel_w.csv rename to SurgeData/41-waterlevel_w.csv diff --git a/SurgeData/N=1000/410-peak+year_c.csv b/SurgeData/410-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/410-peak+year_c.csv rename to SurgeData/410-peak+year_c.csv diff --git a/SurgeData/N=1000/410-peak+year_w.csv b/SurgeData/410-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/410-peak+year_w.csv rename to SurgeData/410-peak+year_w.csv diff --git a/SurgeData/N=1000/410-peak_c.csv b/SurgeData/410-peak_c.csv similarity index 100% rename from SurgeData/N=1000/410-peak_c.csv rename to SurgeData/410-peak_c.csv diff --git a/SurgeData/N=1000/410-peak_w.csv b/SurgeData/410-peak_w.csv similarity index 100% rename from SurgeData/N=1000/410-peak_w.csv rename to SurgeData/410-peak_w.csv diff --git a/SurgeData/N=1000/410-surge_c.csv b/SurgeData/410-surge_c.csv similarity index 100% rename from SurgeData/N=1000/410-surge_c.csv rename to SurgeData/410-surge_c.csv diff --git a/SurgeData/N=1000/410-surge_w.csv b/SurgeData/410-surge_w.csv similarity index 100% rename from SurgeData/N=1000/410-surge_w.csv rename to SurgeData/410-surge_w.csv diff --git a/SurgeData/N=1000/410-time_c.csv b/SurgeData/410-time_c.csv similarity index 100% rename from SurgeData/N=1000/410-time_c.csv rename to SurgeData/410-time_c.csv diff --git a/SurgeData/N=1000/410-time_w.csv b/SurgeData/410-time_w.csv similarity index 100% rename from SurgeData/N=1000/410-time_w.csv rename to SurgeData/410-time_w.csv diff --git a/SurgeData/N=1000/410-waterlevel_c.csv b/SurgeData/410-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/410-waterlevel_c.csv rename to SurgeData/410-waterlevel_c.csv diff --git a/SurgeData/N=1000/410-waterlevel_w.csv b/SurgeData/410-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/410-waterlevel_w.csv rename to SurgeData/410-waterlevel_w.csv diff --git a/SurgeData/N=1000/411-peak+year_c.csv b/SurgeData/411-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/411-peak+year_c.csv rename to SurgeData/411-peak+year_c.csv diff --git a/SurgeData/N=1000/411-peak+year_w.csv b/SurgeData/411-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/411-peak+year_w.csv rename to SurgeData/411-peak+year_w.csv diff --git a/SurgeData/N=1000/411-peak_c.csv b/SurgeData/411-peak_c.csv similarity index 100% rename from SurgeData/N=1000/411-peak_c.csv rename to SurgeData/411-peak_c.csv diff --git a/SurgeData/N=1000/411-peak_w.csv b/SurgeData/411-peak_w.csv similarity index 100% rename from SurgeData/N=1000/411-peak_w.csv rename to SurgeData/411-peak_w.csv diff --git a/SurgeData/N=1000/411-surge_c.csv b/SurgeData/411-surge_c.csv similarity index 100% rename from SurgeData/N=1000/411-surge_c.csv rename to SurgeData/411-surge_c.csv diff --git a/SurgeData/N=1000/411-surge_w.csv b/SurgeData/411-surge_w.csv similarity index 100% rename from SurgeData/N=1000/411-surge_w.csv rename to SurgeData/411-surge_w.csv diff --git a/SurgeData/N=1000/411-time_c.csv b/SurgeData/411-time_c.csv similarity index 100% rename from SurgeData/N=1000/411-time_c.csv rename to SurgeData/411-time_c.csv diff --git a/SurgeData/N=1000/411-time_w.csv b/SurgeData/411-time_w.csv similarity index 100% rename from SurgeData/N=1000/411-time_w.csv rename to SurgeData/411-time_w.csv diff --git a/SurgeData/N=1000/411-waterlevel_c.csv b/SurgeData/411-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/411-waterlevel_c.csv rename to SurgeData/411-waterlevel_c.csv diff --git a/SurgeData/N=1000/411-waterlevel_w.csv b/SurgeData/411-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/411-waterlevel_w.csv rename to SurgeData/411-waterlevel_w.csv diff --git a/SurgeData/N=1000/412-peak+year_c.csv b/SurgeData/412-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/412-peak+year_c.csv rename to SurgeData/412-peak+year_c.csv diff --git a/SurgeData/N=1000/412-peak+year_w.csv b/SurgeData/412-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/412-peak+year_w.csv rename to SurgeData/412-peak+year_w.csv diff --git a/SurgeData/N=1000/412-peak_c.csv b/SurgeData/412-peak_c.csv similarity index 100% rename from SurgeData/N=1000/412-peak_c.csv rename to SurgeData/412-peak_c.csv diff --git a/SurgeData/N=1000/412-peak_w.csv b/SurgeData/412-peak_w.csv similarity index 100% rename from SurgeData/N=1000/412-peak_w.csv rename to SurgeData/412-peak_w.csv diff --git a/SurgeData/N=1000/412-surge_c.csv b/SurgeData/412-surge_c.csv similarity index 100% rename from SurgeData/N=1000/412-surge_c.csv rename to SurgeData/412-surge_c.csv diff --git a/SurgeData/N=1000/412-surge_w.csv b/SurgeData/412-surge_w.csv similarity index 100% rename from SurgeData/N=1000/412-surge_w.csv rename to SurgeData/412-surge_w.csv diff --git a/SurgeData/N=1000/412-time_c.csv b/SurgeData/412-time_c.csv similarity index 100% rename from SurgeData/N=1000/412-time_c.csv rename to SurgeData/412-time_c.csv diff --git a/SurgeData/N=1000/412-time_w.csv b/SurgeData/412-time_w.csv similarity index 100% rename from SurgeData/N=1000/412-time_w.csv rename to SurgeData/412-time_w.csv diff --git a/SurgeData/N=1000/412-waterlevel_c.csv b/SurgeData/412-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/412-waterlevel_c.csv rename to SurgeData/412-waterlevel_c.csv diff --git a/SurgeData/N=1000/412-waterlevel_w.csv b/SurgeData/412-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/412-waterlevel_w.csv rename to SurgeData/412-waterlevel_w.csv diff --git a/SurgeData/413-num_storm.csv b/SurgeData/413-num_storm.csv new file mode 100644 index 00000000..30e2e91b --- /dev/null +++ b/SurgeData/413-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,2.0,4.0 +2022,2.0,7.0 +2023,3.0,4.0 +2024,4.0,3.0 +2025,2.0,2.0 +2026,0.0,3.0 +2027,2.0,3.0 +2028,0.0,6.0 +2029,0.0,3.0 +2030,3.0,3.0 +2031,0.0,4.0 +2032,0.0,4.0 +2033,2.0,8.0 +2034,2.0,2.0 +2035,2.0,5.0 +2036,1.0,7.0 +2037,3.0,1.0 +2038,1.0,6.0 +2039,2.0,1.0 +2040,1.0,5.0 +2041,2.0,4.0 +2042,3.0,4.0 +2043,2.0,5.0 +2044,1.0,6.0 +2045,0.0,6.0 +2046,1.0,2.0 +2047,0.0,6.0 +2048,0.0,3.0 +2049,4.0,3.0 +2050,3.0,2.0 +2051,3.0,5.0 +2052,1.0,3.0 +2053,1.0,2.0 +2054,5.0,5.0 +2055,1.0,8.0 +2056,3.0,3.0 +2057,1.0,3.0 +2058,0.0,4.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,2.0,6.0 +2063,2.0,5.0 +2064,2.0,5.0 +2065,2.0,8.0 +2066,1.0,5.0 +2067,1.0,2.0 +2068,0.0,6.0 +2069,1.0,3.0 +2070,1.0,7.0 +2071,2.0,2.0 +2072,2.0,1.0 +2073,3.0,5.0 +2074,1.0,4.0 +2075,3.0,2.0 +2076,1.0,1.0 +2077,1.0,5.0 +2078,1.0,4.0 +2079,0.0,3.0 +2080,1.0,7.0 +2081,1.0,3.0 +2082,1.0,2.0 +2083,1.0,2.0 +2084,1.0,0.0 +2085,2.0,0.0 +2086,0.0,2.0 +2087,1.0,2.0 +2088,1.0,2.0 +2089,0.0,6.0 +2090,2.0,3.0 +2091,2.0,9.0 +2092,1.0,3.0 +2093,2.0,3.0 +2094,0.0,4.0 +2095,2.0,3.0 +2096,0.0,4.0 +2097,3.0,3.0 +2098,2.0,0.0 +2099,2.0,1.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/413-peak+year_c.csv b/SurgeData/413-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/413-peak+year_c.csv rename to SurgeData/413-peak+year_c.csv diff --git a/SurgeData/N=1000/413-peak+year_w.csv b/SurgeData/413-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/413-peak+year_w.csv rename to SurgeData/413-peak+year_w.csv diff --git a/SurgeData/N=1000/413-peak_c.csv b/SurgeData/413-peak_c.csv similarity index 100% rename from SurgeData/N=1000/413-peak_c.csv rename to SurgeData/413-peak_c.csv diff --git a/SurgeData/N=1000/413-peak_w.csv b/SurgeData/413-peak_w.csv similarity index 100% rename from SurgeData/N=1000/413-peak_w.csv rename to SurgeData/413-peak_w.csv diff --git a/SurgeData/N=1000/413-surge_c.csv b/SurgeData/413-surge_c.csv similarity index 100% rename from SurgeData/N=1000/413-surge_c.csv rename to SurgeData/413-surge_c.csv diff --git a/SurgeData/N=1000/413-surge_w.csv b/SurgeData/413-surge_w.csv similarity index 100% rename from SurgeData/N=1000/413-surge_w.csv rename to SurgeData/413-surge_w.csv diff --git a/SurgeData/N=1000/413-time_c.csv b/SurgeData/413-time_c.csv similarity index 100% rename from SurgeData/N=1000/413-time_c.csv rename to SurgeData/413-time_c.csv diff --git a/SurgeData/N=1000/413-time_w.csv b/SurgeData/413-time_w.csv similarity index 100% rename from SurgeData/N=1000/413-time_w.csv rename to SurgeData/413-time_w.csv diff --git a/SurgeData/N=1000/413-waterlevel_c.csv b/SurgeData/413-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/413-waterlevel_c.csv rename to SurgeData/413-waterlevel_c.csv diff --git a/SurgeData/N=1000/413-waterlevel_w.csv b/SurgeData/413-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/413-waterlevel_w.csv rename to SurgeData/413-waterlevel_w.csv diff --git a/SurgeData/414-num_storm.csv b/SurgeData/414-num_storm.csv new file mode 100644 index 00000000..42742476 --- /dev/null +++ b/SurgeData/414-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,6.0,6.0 +2022,1.0,5.0 +2023,1.0,3.0 +2024,0.0,7.0 +2025,2.0,3.0 +2026,3.0,6.0 +2027,3.0,3.0 +2028,0.0,4.0 +2029,2.0,2.0 +2030,2.0,2.0 +2031,1.0,6.0 +2032,1.0,4.0 +2033,2.0,5.0 +2034,0.0,7.0 +2035,3.0,5.0 +2036,0.0,2.0 +2037,3.0,7.0 +2038,3.0,5.0 +2039,1.0,7.0 +2040,3.0,6.0 +2041,1.0,7.0 +2042,0.0,5.0 +2043,0.0,5.0 +2044,1.0,1.0 +2045,1.0,2.0 +2046,0.0,3.0 +2047,0.0,8.0 +2048,3.0,3.0 +2049,1.0,4.0 +2050,1.0,10.0 +2051,2.0,3.0 +2052,5.0,5.0 +2053,1.0,3.0 +2054,2.0,2.0 +2055,4.0,4.0 +2056,1.0,5.0 +2057,2.0,3.0 +2058,1.0,4.0 +2059,2.0,2.0 +2060,0.0,7.0 +2061,3.0,4.0 +2062,2.0,4.0 +2063,0.0,3.0 +2064,1.0,4.0 +2065,0.0,2.0 +2066,2.0,1.0 +2067,1.0,11.0 +2068,0.0,4.0 +2069,3.0,1.0 +2070,3.0,3.0 +2071,3.0,3.0 +2072,0.0,6.0 +2073,2.0,6.0 +2074,4.0,4.0 +2075,2.0,2.0 +2076,3.0,6.0 +2077,0.0,1.0 +2078,1.0,1.0 +2079,4.0,3.0 +2080,2.0,1.0 +2081,2.0,5.0 +2082,3.0,4.0 +2083,2.0,3.0 +2084,4.0,2.0 +2085,3.0,2.0 +2086,2.0,6.0 +2087,2.0,7.0 +2088,1.0,5.0 +2089,1.0,1.0 +2090,1.0,5.0 +2091,2.0,2.0 +2092,0.0,5.0 +2093,0.0,2.0 +2094,2.0,6.0 +2095,1.0,3.0 +2096,0.0,4.0 +2097,0.0,3.0 +2098,2.0,1.0 +2099,1.0,1.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/414-peak+year_c.csv b/SurgeData/414-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/414-peak+year_c.csv rename to SurgeData/414-peak+year_c.csv diff --git a/SurgeData/N=1000/414-peak+year_w.csv b/SurgeData/414-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/414-peak+year_w.csv rename to SurgeData/414-peak+year_w.csv diff --git a/SurgeData/N=1000/414-peak_c.csv b/SurgeData/414-peak_c.csv similarity index 100% rename from SurgeData/N=1000/414-peak_c.csv rename to SurgeData/414-peak_c.csv diff --git a/SurgeData/N=1000/414-peak_w.csv b/SurgeData/414-peak_w.csv similarity index 100% rename from SurgeData/N=1000/414-peak_w.csv rename to SurgeData/414-peak_w.csv diff --git a/SurgeData/N=1000/414-surge_c.csv b/SurgeData/414-surge_c.csv similarity index 100% rename from SurgeData/N=1000/414-surge_c.csv rename to SurgeData/414-surge_c.csv diff --git a/SurgeData/N=1000/414-surge_w.csv b/SurgeData/414-surge_w.csv similarity index 100% rename from SurgeData/N=1000/414-surge_w.csv rename to SurgeData/414-surge_w.csv diff --git a/SurgeData/N=1000/414-time_c.csv b/SurgeData/414-time_c.csv similarity index 100% rename from SurgeData/N=1000/414-time_c.csv rename to SurgeData/414-time_c.csv diff --git a/SurgeData/N=1000/414-time_w.csv b/SurgeData/414-time_w.csv similarity index 100% rename from SurgeData/N=1000/414-time_w.csv rename to SurgeData/414-time_w.csv diff --git a/SurgeData/N=1000/414-waterlevel_c.csv b/SurgeData/414-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/414-waterlevel_c.csv rename to SurgeData/414-waterlevel_c.csv diff --git a/SurgeData/N=1000/414-waterlevel_w.csv b/SurgeData/414-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/414-waterlevel_w.csv rename to SurgeData/414-waterlevel_w.csv diff --git a/SurgeData/415-num_storm.csv b/SurgeData/415-num_storm.csv new file mode 100644 index 00000000..fcfb2c7b --- /dev/null +++ b/SurgeData/415-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,1.0,3.0 +2022,1.0,1.0 +2023,0.0,1.0 +2024,0.0,5.0 +2025,2.0,4.0 +2026,1.0,6.0 +2027,2.0,2.0 +2028,3.0,8.0 +2029,1.0,5.0 +2030,5.0,5.0 +2031,2.0,5.0 +2032,1.0,4.0 +2033,1.0,6.0 +2034,0.0,6.0 +2035,0.0,5.0 +2036,2.0,3.0 +2037,1.0,7.0 +2038,2.0,4.0 +2039,1.0,5.0 +2040,1.0,2.0 +2041,1.0,6.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,0.0,2.0 +2045,2.0,1.0 +2046,1.0,4.0 +2047,2.0,3.0 +2048,2.0,1.0 +2049,1.0,4.0 +2050,2.0,6.0 +2051,3.0,6.0 +2052,0.0,2.0 +2053,2.0,4.0 +2054,1.0,4.0 +2055,2.0,5.0 +2056,0.0,10.0 +2057,1.0,6.0 +2058,2.0,2.0 +2059,1.0,4.0 +2060,4.0,4.0 +2061,2.0,7.0 +2062,2.0,6.0 +2063,1.0,5.0 +2064,3.0,4.0 +2065,1.0,3.0 +2066,4.0,3.0 +2067,3.0,4.0 +2068,1.0,4.0 +2069,1.0,4.0 +2070,3.0,3.0 +2071,3.0,5.0 +2072,4.0,3.0 +2073,1.0,3.0 +2074,3.0,4.0 +2075,1.0,2.0 +2076,0.0,4.0 +2077,2.0,2.0 +2078,1.0,4.0 +2079,0.0,5.0 +2080,3.0,5.0 +2081,1.0,4.0 +2082,1.0,7.0 +2083,2.0,4.0 +2084,2.0,2.0 +2085,0.0,3.0 +2086,1.0,4.0 +2087,2.0,1.0 +2088,0.0,2.0 +2089,2.0,5.0 +2090,2.0,8.0 +2091,3.0,8.0 +2092,0.0,3.0 +2093,3.0,2.0 +2094,0.0,8.0 +2095,1.0,2.0 +2096,2.0,6.0 +2097,0.0,2.0 +2098,1.0,4.0 +2099,2.0,5.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/415-peak+year_c.csv b/SurgeData/415-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/415-peak+year_c.csv rename to SurgeData/415-peak+year_c.csv diff --git a/SurgeData/N=1000/415-peak+year_w.csv b/SurgeData/415-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/415-peak+year_w.csv rename to SurgeData/415-peak+year_w.csv diff --git a/SurgeData/N=1000/415-peak_c.csv b/SurgeData/415-peak_c.csv similarity index 100% rename from SurgeData/N=1000/415-peak_c.csv rename to SurgeData/415-peak_c.csv diff --git a/SurgeData/N=1000/415-peak_w.csv b/SurgeData/415-peak_w.csv similarity index 100% rename from SurgeData/N=1000/415-peak_w.csv rename to SurgeData/415-peak_w.csv diff --git a/SurgeData/N=1000/415-surge_c.csv b/SurgeData/415-surge_c.csv similarity index 100% rename from SurgeData/N=1000/415-surge_c.csv rename to SurgeData/415-surge_c.csv diff --git a/SurgeData/N=1000/415-surge_w.csv b/SurgeData/415-surge_w.csv similarity index 100% rename from SurgeData/N=1000/415-surge_w.csv rename to SurgeData/415-surge_w.csv diff --git a/SurgeData/N=1000/415-time_c.csv b/SurgeData/415-time_c.csv similarity index 100% rename from SurgeData/N=1000/415-time_c.csv rename to SurgeData/415-time_c.csv diff --git a/SurgeData/N=1000/415-time_w.csv b/SurgeData/415-time_w.csv similarity index 100% rename from SurgeData/N=1000/415-time_w.csv rename to SurgeData/415-time_w.csv diff --git a/SurgeData/N=1000/415-waterlevel_c.csv b/SurgeData/415-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/415-waterlevel_c.csv rename to SurgeData/415-waterlevel_c.csv diff --git a/SurgeData/N=1000/415-waterlevel_w.csv b/SurgeData/415-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/415-waterlevel_w.csv rename to SurgeData/415-waterlevel_w.csv diff --git a/SurgeData/416-num_storm.csv b/SurgeData/416-num_storm.csv new file mode 100644 index 00000000..f6eddeeb --- /dev/null +++ b/SurgeData/416-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,3.0 +2022,2.0,1.0 +2023,0.0,3.0 +2024,0.0,3.0 +2025,1.0,2.0 +2026,2.0,2.0 +2027,1.0,6.0 +2028,2.0,5.0 +2029,0.0,9.0 +2030,0.0,4.0 +2031,0.0,3.0 +2032,1.0,6.0 +2033,1.0,5.0 +2034,1.0,8.0 +2035,0.0,3.0 +2036,2.0,1.0 +2037,3.0,4.0 +2038,1.0,6.0 +2039,2.0,8.0 +2040,4.0,6.0 +2041,0.0,5.0 +2042,2.0,9.0 +2043,1.0,5.0 +2044,1.0,6.0 +2045,1.0,6.0 +2046,2.0,6.0 +2047,1.0,4.0 +2048,2.0,6.0 +2049,0.0,3.0 +2050,3.0,5.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,1.0,10.0 +2054,1.0,7.0 +2055,3.0,1.0 +2056,0.0,3.0 +2057,0.0,4.0 +2058,0.0,0.0 +2059,1.0,5.0 +2060,1.0,5.0 +2061,2.0,7.0 +2062,2.0,3.0 +2063,2.0,2.0 +2064,3.0,3.0 +2065,2.0,3.0 +2066,0.0,2.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,3.0,5.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,0.0,6.0 +2073,0.0,3.0 +2074,2.0,4.0 +2075,2.0,6.0 +2076,0.0,4.0 +2077,0.0,4.0 +2078,1.0,8.0 +2079,3.0,2.0 +2080,3.0,5.0 +2081,0.0,0.0 +2082,4.0,4.0 +2083,6.0,5.0 +2084,1.0,3.0 +2085,2.0,3.0 +2086,2.0,7.0 +2087,2.0,4.0 +2088,3.0,4.0 +2089,1.0,3.0 +2090,0.0,6.0 +2091,1.0,3.0 +2092,1.0,1.0 +2093,3.0,3.0 +2094,1.0,6.0 +2095,2.0,5.0 +2096,4.0,2.0 +2097,0.0,8.0 +2098,5.0,6.0 +2099,2.0,7.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/416-peak+year_c.csv b/SurgeData/416-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/416-peak+year_c.csv rename to SurgeData/416-peak+year_c.csv diff --git a/SurgeData/N=1000/416-peak+year_w.csv b/SurgeData/416-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/416-peak+year_w.csv rename to SurgeData/416-peak+year_w.csv diff --git a/SurgeData/N=1000/416-peak_c.csv b/SurgeData/416-peak_c.csv similarity index 100% rename from SurgeData/N=1000/416-peak_c.csv rename to SurgeData/416-peak_c.csv diff --git a/SurgeData/N=1000/416-peak_w.csv b/SurgeData/416-peak_w.csv similarity index 100% rename from SurgeData/N=1000/416-peak_w.csv rename to SurgeData/416-peak_w.csv diff --git a/SurgeData/N=1000/416-surge_c.csv b/SurgeData/416-surge_c.csv similarity index 100% rename from SurgeData/N=1000/416-surge_c.csv rename to SurgeData/416-surge_c.csv diff --git a/SurgeData/N=1000/416-surge_w.csv b/SurgeData/416-surge_w.csv similarity index 100% rename from SurgeData/N=1000/416-surge_w.csv rename to SurgeData/416-surge_w.csv diff --git a/SurgeData/N=1000/416-time_c.csv b/SurgeData/416-time_c.csv similarity index 100% rename from SurgeData/N=1000/416-time_c.csv rename to SurgeData/416-time_c.csv diff --git a/SurgeData/N=1000/416-time_w.csv b/SurgeData/416-time_w.csv similarity index 100% rename from SurgeData/N=1000/416-time_w.csv rename to SurgeData/416-time_w.csv diff --git a/SurgeData/N=1000/416-waterlevel_c.csv b/SurgeData/416-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/416-waterlevel_c.csv rename to SurgeData/416-waterlevel_c.csv diff --git a/SurgeData/N=1000/416-waterlevel_w.csv b/SurgeData/416-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/416-waterlevel_w.csv rename to SurgeData/416-waterlevel_w.csv diff --git a/SurgeData/417-num_storm.csv b/SurgeData/417-num_storm.csv new file mode 100644 index 00000000..d4fe393e --- /dev/null +++ b/SurgeData/417-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,1.0 +2022,3.0,1.0 +2023,2.0,6.0 +2024,0.0,6.0 +2025,3.0,7.0 +2026,2.0,5.0 +2027,3.0,2.0 +2028,0.0,2.0 +2029,1.0,4.0 +2030,3.0,5.0 +2031,1.0,0.0 +2032,1.0,2.0 +2033,1.0,2.0 +2034,2.0,4.0 +2035,0.0,4.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,2.0,2.0 +2039,2.0,3.0 +2040,3.0,3.0 +2041,2.0,3.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,1.0,2.0 +2045,0.0,6.0 +2046,1.0,5.0 +2047,0.0,5.0 +2048,3.0,5.0 +2049,1.0,3.0 +2050,1.0,7.0 +2051,3.0,5.0 +2052,0.0,5.0 +2053,1.0,3.0 +2054,3.0,2.0 +2055,4.0,9.0 +2056,3.0,6.0 +2057,3.0,3.0 +2058,0.0,1.0 +2059,0.0,3.0 +2060,2.0,5.0 +2061,0.0,6.0 +2062,1.0,4.0 +2063,0.0,7.0 +2064,3.0,3.0 +2065,1.0,1.0 +2066,2.0,5.0 +2067,0.0,6.0 +2068,1.0,4.0 +2069,4.0,5.0 +2070,1.0,4.0 +2071,3.0,5.0 +2072,4.0,5.0 +2073,3.0,3.0 +2074,3.0,4.0 +2075,3.0,3.0 +2076,0.0,1.0 +2077,5.0,4.0 +2078,1.0,4.0 +2079,0.0,4.0 +2080,2.0,3.0 +2081,0.0,3.0 +2082,0.0,1.0 +2083,3.0,8.0 +2084,2.0,2.0 +2085,2.0,2.0 +2086,3.0,6.0 +2087,1.0,1.0 +2088,1.0,2.0 +2089,0.0,3.0 +2090,0.0,2.0 +2091,0.0,5.0 +2092,4.0,5.0 +2093,2.0,4.0 +2094,2.0,1.0 +2095,1.0,2.0 +2096,3.0,5.0 +2097,1.0,2.0 +2098,4.0,7.0 +2099,0.0,6.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/417-peak+year_c.csv b/SurgeData/417-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/417-peak+year_c.csv rename to SurgeData/417-peak+year_c.csv diff --git a/SurgeData/N=1000/417-peak+year_w.csv b/SurgeData/417-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/417-peak+year_w.csv rename to SurgeData/417-peak+year_w.csv diff --git a/SurgeData/N=1000/417-peak_c.csv b/SurgeData/417-peak_c.csv similarity index 100% rename from SurgeData/N=1000/417-peak_c.csv rename to SurgeData/417-peak_c.csv diff --git a/SurgeData/N=1000/417-peak_w.csv b/SurgeData/417-peak_w.csv similarity index 100% rename from SurgeData/N=1000/417-peak_w.csv rename to SurgeData/417-peak_w.csv diff --git a/SurgeData/N=1000/417-surge_c.csv b/SurgeData/417-surge_c.csv similarity index 100% rename from SurgeData/N=1000/417-surge_c.csv rename to SurgeData/417-surge_c.csv diff --git a/SurgeData/N=1000/417-surge_w.csv b/SurgeData/417-surge_w.csv similarity index 100% rename from SurgeData/N=1000/417-surge_w.csv rename to SurgeData/417-surge_w.csv diff --git a/SurgeData/N=1000/417-time_c.csv b/SurgeData/417-time_c.csv similarity index 100% rename from SurgeData/N=1000/417-time_c.csv rename to SurgeData/417-time_c.csv diff --git a/SurgeData/N=1000/417-time_w.csv b/SurgeData/417-time_w.csv similarity index 100% rename from SurgeData/N=1000/417-time_w.csv rename to SurgeData/417-time_w.csv diff --git a/SurgeData/N=1000/417-waterlevel_c.csv b/SurgeData/417-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/417-waterlevel_c.csv rename to SurgeData/417-waterlevel_c.csv diff --git a/SurgeData/N=1000/417-waterlevel_w.csv b/SurgeData/417-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/417-waterlevel_w.csv rename to SurgeData/417-waterlevel_w.csv diff --git a/SurgeData/418-num_storm.csv b/SurgeData/418-num_storm.csv new file mode 100644 index 00000000..0363cebc --- /dev/null +++ b/SurgeData/418-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,5.0 +2022,2.0,5.0 +2023,1.0,7.0 +2024,2.0,1.0 +2025,3.0,5.0 +2026,1.0,6.0 +2027,1.0,7.0 +2028,2.0,4.0 +2029,3.0,4.0 +2030,0.0,7.0 +2031,2.0,7.0 +2032,1.0,7.0 +2033,4.0,6.0 +2034,1.0,1.0 +2035,0.0,3.0 +2036,3.0,4.0 +2037,3.0,7.0 +2038,3.0,9.0 +2039,1.0,5.0 +2040,0.0,4.0 +2041,2.0,6.0 +2042,2.0,5.0 +2043,2.0,3.0 +2044,2.0,6.0 +2045,1.0,7.0 +2046,2.0,3.0 +2047,1.0,6.0 +2048,2.0,6.0 +2049,4.0,5.0 +2050,2.0,4.0 +2051,0.0,4.0 +2052,4.0,5.0 +2053,1.0,2.0 +2054,4.0,7.0 +2055,4.0,5.0 +2056,0.0,6.0 +2057,1.0,6.0 +2058,1.0,7.0 +2059,3.0,3.0 +2060,3.0,3.0 +2061,3.0,6.0 +2062,0.0,3.0 +2063,4.0,5.0 +2064,3.0,6.0 +2065,0.0,3.0 +2066,0.0,3.0 +2067,0.0,2.0 +2068,2.0,6.0 +2069,1.0,1.0 +2070,0.0,4.0 +2071,2.0,7.0 +2072,1.0,2.0 +2073,1.0,4.0 +2074,1.0,4.0 +2075,1.0,2.0 +2076,4.0,4.0 +2077,2.0,4.0 +2078,4.0,5.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,2.0,4.0 +2082,2.0,2.0 +2083,2.0,2.0 +2084,0.0,8.0 +2085,5.0,4.0 +2086,0.0,2.0 +2087,1.0,3.0 +2088,0.0,2.0 +2089,2.0,2.0 +2090,3.0,8.0 +2091,0.0,6.0 +2092,0.0,9.0 +2093,0.0,5.0 +2094,0.0,4.0 +2095,0.0,2.0 +2096,2.0,6.0 +2097,0.0,4.0 +2098,0.0,8.0 +2099,2.0,6.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/418-peak+year_c.csv b/SurgeData/418-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/418-peak+year_c.csv rename to SurgeData/418-peak+year_c.csv diff --git a/SurgeData/N=1000/418-peak+year_w.csv b/SurgeData/418-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/418-peak+year_w.csv rename to SurgeData/418-peak+year_w.csv diff --git a/SurgeData/N=1000/418-peak_c.csv b/SurgeData/418-peak_c.csv similarity index 100% rename from SurgeData/N=1000/418-peak_c.csv rename to SurgeData/418-peak_c.csv diff --git a/SurgeData/N=1000/418-peak_w.csv b/SurgeData/418-peak_w.csv similarity index 100% rename from SurgeData/N=1000/418-peak_w.csv rename to SurgeData/418-peak_w.csv diff --git a/SurgeData/N=1000/418-surge_c.csv b/SurgeData/418-surge_c.csv similarity index 100% rename from SurgeData/N=1000/418-surge_c.csv rename to SurgeData/418-surge_c.csv diff --git a/SurgeData/N=1000/418-surge_w.csv b/SurgeData/418-surge_w.csv similarity index 100% rename from SurgeData/N=1000/418-surge_w.csv rename to SurgeData/418-surge_w.csv diff --git a/SurgeData/N=1000/418-time_c.csv b/SurgeData/418-time_c.csv similarity index 100% rename from SurgeData/N=1000/418-time_c.csv rename to SurgeData/418-time_c.csv diff --git a/SurgeData/N=1000/418-time_w.csv b/SurgeData/418-time_w.csv similarity index 100% rename from SurgeData/N=1000/418-time_w.csv rename to SurgeData/418-time_w.csv diff --git a/SurgeData/N=1000/418-waterlevel_c.csv b/SurgeData/418-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/418-waterlevel_c.csv rename to SurgeData/418-waterlevel_c.csv diff --git a/SurgeData/N=1000/418-waterlevel_w.csv b/SurgeData/418-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/418-waterlevel_w.csv rename to SurgeData/418-waterlevel_w.csv diff --git a/SurgeData/419-num_storm.csv b/SurgeData/419-num_storm.csv new file mode 100644 index 00000000..7e58a74c --- /dev/null +++ b/SurgeData/419-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,4.0,6.0 +2022,0.0,6.0 +2023,3.0,8.0 +2024,3.0,1.0 +2025,0.0,2.0 +2026,3.0,4.0 +2027,1.0,7.0 +2028,2.0,3.0 +2029,1.0,4.0 +2030,1.0,7.0 +2031,3.0,6.0 +2032,1.0,3.0 +2033,3.0,2.0 +2034,3.0,4.0 +2035,1.0,2.0 +2036,1.0,6.0 +2037,4.0,3.0 +2038,0.0,3.0 +2039,2.0,2.0 +2040,1.0,5.0 +2041,2.0,5.0 +2042,0.0,0.0 +2043,0.0,0.0 +2044,3.0,4.0 +2045,1.0,7.0 +2046,2.0,5.0 +2047,2.0,4.0 +2048,2.0,2.0 +2049,2.0,5.0 +2050,3.0,6.0 +2051,4.0,2.0 +2052,1.0,7.0 +2053,1.0,4.0 +2054,2.0,1.0 +2055,1.0,3.0 +2056,1.0,4.0 +2057,1.0,4.0 +2058,4.0,3.0 +2059,2.0,3.0 +2060,0.0,3.0 +2061,1.0,7.0 +2062,2.0,2.0 +2063,2.0,7.0 +2064,4.0,7.0 +2065,2.0,9.0 +2066,0.0,2.0 +2067,0.0,3.0 +2068,0.0,4.0 +2069,0.0,6.0 +2070,1.0,2.0 +2071,3.0,5.0 +2072,3.0,5.0 +2073,3.0,4.0 +2074,0.0,5.0 +2075,1.0,13.0 +2076,1.0,6.0 +2077,2.0,5.0 +2078,0.0,0.0 +2079,4.0,6.0 +2080,4.0,4.0 +2081,1.0,0.0 +2082,2.0,5.0 +2083,1.0,7.0 +2084,0.0,2.0 +2085,3.0,2.0 +2086,1.0,4.0 +2087,2.0,3.0 +2088,4.0,5.0 +2089,4.0,4.0 +2090,0.0,2.0 +2091,1.0,7.0 +2092,0.0,4.0 +2093,2.0,9.0 +2094,3.0,2.0 +2095,0.0,2.0 +2096,2.0,6.0 +2097,1.0,2.0 +2098,3.0,2.0 +2099,2.0,7.0 +2100,5.0,3.0 diff --git a/SurgeData/N=1000/419-peak+year_c.csv b/SurgeData/419-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/419-peak+year_c.csv rename to SurgeData/419-peak+year_c.csv diff --git a/SurgeData/N=1000/419-peak+year_w.csv b/SurgeData/419-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/419-peak+year_w.csv rename to SurgeData/419-peak+year_w.csv diff --git a/SurgeData/N=1000/419-peak_c.csv b/SurgeData/419-peak_c.csv similarity index 100% rename from SurgeData/N=1000/419-peak_c.csv rename to SurgeData/419-peak_c.csv diff --git a/SurgeData/N=1000/419-peak_w.csv b/SurgeData/419-peak_w.csv similarity index 100% rename from SurgeData/N=1000/419-peak_w.csv rename to SurgeData/419-peak_w.csv diff --git a/SurgeData/N=1000/419-surge_c.csv b/SurgeData/419-surge_c.csv similarity index 100% rename from SurgeData/N=1000/419-surge_c.csv rename to SurgeData/419-surge_c.csv diff --git a/SurgeData/N=1000/419-surge_w.csv b/SurgeData/419-surge_w.csv similarity index 100% rename from SurgeData/N=1000/419-surge_w.csv rename to SurgeData/419-surge_w.csv diff --git a/SurgeData/N=1000/419-time_c.csv b/SurgeData/419-time_c.csv similarity index 100% rename from SurgeData/N=1000/419-time_c.csv rename to SurgeData/419-time_c.csv diff --git a/SurgeData/N=1000/419-time_w.csv b/SurgeData/419-time_w.csv similarity index 100% rename from SurgeData/N=1000/419-time_w.csv rename to SurgeData/419-time_w.csv diff --git a/SurgeData/N=1000/419-waterlevel_c.csv b/SurgeData/419-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/419-waterlevel_c.csv rename to SurgeData/419-waterlevel_c.csv diff --git a/SurgeData/N=1000/419-waterlevel_w.csv b/SurgeData/419-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/419-waterlevel_w.csv rename to SurgeData/419-waterlevel_w.csv diff --git a/SurgeData/42-num_storm.csv b/SurgeData/42-num_storm.csv new file mode 100644 index 00000000..2f7fdc5e --- /dev/null +++ b/SurgeData/42-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,4.0 +2022,4.0,3.0 +2023,3.0,2.0 +2024,1.0,3.0 +2025,1.0,7.0 +2026,1.0,6.0 +2027,1.0,2.0 +2028,2.0,4.0 +2029,0.0,4.0 +2030,1.0,1.0 +2031,3.0,3.0 +2032,1.0,7.0 +2033,0.0,2.0 +2034,1.0,1.0 +2035,1.0,2.0 +2036,1.0,5.0 +2037,1.0,5.0 +2038,2.0,6.0 +2039,2.0,4.0 +2040,0.0,4.0 +2041,1.0,6.0 +2042,0.0,2.0 +2043,1.0,4.0 +2044,3.0,5.0 +2045,1.0,8.0 +2046,3.0,3.0 +2047,2.0,4.0 +2048,2.0,5.0 +2049,2.0,5.0 +2050,0.0,4.0 +2051,0.0,2.0 +2052,2.0,6.0 +2053,0.0,6.0 +2054,2.0,3.0 +2055,2.0,2.0 +2056,3.0,1.0 +2057,1.0,3.0 +2058,0.0,0.0 +2059,2.0,6.0 +2060,0.0,8.0 +2061,0.0,5.0 +2062,1.0,4.0 +2063,1.0,1.0 +2064,0.0,5.0 +2065,1.0,3.0 +2066,2.0,3.0 +2067,1.0,2.0 +2068,0.0,4.0 +2069,1.0,7.0 +2070,1.0,4.0 +2071,0.0,4.0 +2072,1.0,7.0 +2073,1.0,3.0 +2074,2.0,5.0 +2075,2.0,5.0 +2076,0.0,4.0 +2077,4.0,6.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,3.0,5.0 +2081,2.0,1.0 +2082,1.0,7.0 +2083,1.0,1.0 +2084,2.0,4.0 +2085,3.0,4.0 +2086,2.0,6.0 +2087,1.0,2.0 +2088,2.0,8.0 +2089,1.0,3.0 +2090,0.0,3.0 +2091,1.0,7.0 +2092,2.0,4.0 +2093,3.0,4.0 +2094,1.0,4.0 +2095,2.0,4.0 +2096,4.0,1.0 +2097,2.0,6.0 +2098,0.0,2.0 +2099,2.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/42-peak+year_c.csv b/SurgeData/42-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/42-peak+year_c.csv rename to SurgeData/42-peak+year_c.csv diff --git a/SurgeData/N=1000/42-peak+year_w.csv b/SurgeData/42-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/42-peak+year_w.csv rename to SurgeData/42-peak+year_w.csv diff --git a/SurgeData/N=1000/42-peak_c.csv b/SurgeData/42-peak_c.csv similarity index 100% rename from SurgeData/N=1000/42-peak_c.csv rename to SurgeData/42-peak_c.csv diff --git a/SurgeData/N=1000/42-peak_w.csv b/SurgeData/42-peak_w.csv similarity index 100% rename from SurgeData/N=1000/42-peak_w.csv rename to SurgeData/42-peak_w.csv diff --git a/SurgeData/N=1000/42-surge_c.csv b/SurgeData/42-surge_c.csv similarity index 100% rename from SurgeData/N=1000/42-surge_c.csv rename to SurgeData/42-surge_c.csv diff --git a/SurgeData/N=1000/42-surge_w.csv b/SurgeData/42-surge_w.csv similarity index 100% rename from SurgeData/N=1000/42-surge_w.csv rename to SurgeData/42-surge_w.csv diff --git a/SurgeData/N=1000/42-time_c.csv b/SurgeData/42-time_c.csv similarity index 100% rename from SurgeData/N=1000/42-time_c.csv rename to SurgeData/42-time_c.csv diff --git a/SurgeData/N=1000/42-time_w.csv b/SurgeData/42-time_w.csv similarity index 100% rename from SurgeData/N=1000/42-time_w.csv rename to SurgeData/42-time_w.csv diff --git a/SurgeData/N=1000/42-waterlevel_c.csv b/SurgeData/42-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/42-waterlevel_c.csv rename to SurgeData/42-waterlevel_c.csv diff --git a/SurgeData/N=1000/42-waterlevel_w.csv b/SurgeData/42-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/42-waterlevel_w.csv rename to SurgeData/42-waterlevel_w.csv diff --git a/SurgeData/N=1000/420-peak+year_c.csv b/SurgeData/420-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/420-peak+year_c.csv rename to SurgeData/420-peak+year_c.csv diff --git a/SurgeData/N=1000/420-peak+year_w.csv b/SurgeData/420-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/420-peak+year_w.csv rename to SurgeData/420-peak+year_w.csv diff --git a/SurgeData/N=1000/420-peak_c.csv b/SurgeData/420-peak_c.csv similarity index 100% rename from SurgeData/N=1000/420-peak_c.csv rename to SurgeData/420-peak_c.csv diff --git a/SurgeData/N=1000/420-peak_w.csv b/SurgeData/420-peak_w.csv similarity index 100% rename from SurgeData/N=1000/420-peak_w.csv rename to SurgeData/420-peak_w.csv diff --git a/SurgeData/N=1000/420-surge_c.csv b/SurgeData/420-surge_c.csv similarity index 100% rename from SurgeData/N=1000/420-surge_c.csv rename to SurgeData/420-surge_c.csv diff --git a/SurgeData/N=1000/420-surge_w.csv b/SurgeData/420-surge_w.csv similarity index 100% rename from SurgeData/N=1000/420-surge_w.csv rename to SurgeData/420-surge_w.csv diff --git a/SurgeData/N=1000/420-time_c.csv b/SurgeData/420-time_c.csv similarity index 100% rename from SurgeData/N=1000/420-time_c.csv rename to SurgeData/420-time_c.csv diff --git a/SurgeData/N=1000/420-time_w.csv b/SurgeData/420-time_w.csv similarity index 100% rename from SurgeData/N=1000/420-time_w.csv rename to SurgeData/420-time_w.csv diff --git a/SurgeData/N=1000/420-waterlevel_c.csv b/SurgeData/420-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/420-waterlevel_c.csv rename to SurgeData/420-waterlevel_c.csv diff --git a/SurgeData/N=1000/420-waterlevel_w.csv b/SurgeData/420-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/420-waterlevel_w.csv rename to SurgeData/420-waterlevel_w.csv diff --git a/SurgeData/421-num_storm.csv b/SurgeData/421-num_storm.csv new file mode 100644 index 00000000..3b2cf1e0 --- /dev/null +++ b/SurgeData/421-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,0.0,7.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,2.0,4.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,4.0,3.0 +2028,1.0,0.0 +2029,5.0,4.0 +2030,0.0,5.0 +2031,0.0,3.0 +2032,3.0,7.0 +2033,1.0,5.0 +2034,2.0,4.0 +2035,2.0,0.0 +2036,0.0,4.0 +2037,1.0,1.0 +2038,2.0,4.0 +2039,3.0,2.0 +2040,0.0,3.0 +2041,0.0,3.0 +2042,1.0,4.0 +2043,1.0,5.0 +2044,2.0,3.0 +2045,2.0,2.0 +2046,1.0,2.0 +2047,1.0,4.0 +2048,1.0,4.0 +2049,0.0,5.0 +2050,0.0,3.0 +2051,1.0,6.0 +2052,1.0,2.0 +2053,6.0,4.0 +2054,0.0,3.0 +2055,2.0,6.0 +2056,5.0,3.0 +2057,1.0,2.0 +2058,4.0,2.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,0.0,1.0 +2062,2.0,5.0 +2063,0.0,4.0 +2064,1.0,5.0 +2065,1.0,6.0 +2066,2.0,0.0 +2067,0.0,3.0 +2068,2.0,3.0 +2069,1.0,6.0 +2070,1.0,0.0 +2071,1.0,4.0 +2072,0.0,5.0 +2073,2.0,5.0 +2074,1.0,4.0 +2075,0.0,5.0 +2076,0.0,8.0 +2077,1.0,4.0 +2078,0.0,4.0 +2079,2.0,2.0 +2080,3.0,6.0 +2081,1.0,1.0 +2082,3.0,4.0 +2083,1.0,4.0 +2084,1.0,3.0 +2085,2.0,2.0 +2086,2.0,9.0 +2087,1.0,5.0 +2088,1.0,3.0 +2089,1.0,4.0 +2090,1.0,1.0 +2091,1.0,6.0 +2092,0.0,4.0 +2093,1.0,6.0 +2094,3.0,5.0 +2095,2.0,5.0 +2096,2.0,8.0 +2097,0.0,2.0 +2098,1.0,2.0 +2099,1.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/421-peak+year_c.csv b/SurgeData/421-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/421-peak+year_c.csv rename to SurgeData/421-peak+year_c.csv diff --git a/SurgeData/N=1000/421-peak+year_w.csv b/SurgeData/421-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/421-peak+year_w.csv rename to SurgeData/421-peak+year_w.csv diff --git a/SurgeData/N=1000/421-peak_c.csv b/SurgeData/421-peak_c.csv similarity index 100% rename from SurgeData/N=1000/421-peak_c.csv rename to SurgeData/421-peak_c.csv diff --git a/SurgeData/N=1000/421-peak_w.csv b/SurgeData/421-peak_w.csv similarity index 100% rename from SurgeData/N=1000/421-peak_w.csv rename to SurgeData/421-peak_w.csv diff --git a/SurgeData/N=1000/421-surge_c.csv b/SurgeData/421-surge_c.csv similarity index 100% rename from SurgeData/N=1000/421-surge_c.csv rename to SurgeData/421-surge_c.csv diff --git a/SurgeData/N=1000/421-surge_w.csv b/SurgeData/421-surge_w.csv similarity index 100% rename from SurgeData/N=1000/421-surge_w.csv rename to SurgeData/421-surge_w.csv diff --git a/SurgeData/N=1000/421-time_c.csv b/SurgeData/421-time_c.csv similarity index 100% rename from SurgeData/N=1000/421-time_c.csv rename to SurgeData/421-time_c.csv diff --git a/SurgeData/N=1000/421-time_w.csv b/SurgeData/421-time_w.csv similarity index 100% rename from SurgeData/N=1000/421-time_w.csv rename to SurgeData/421-time_w.csv diff --git a/SurgeData/N=1000/421-waterlevel_c.csv b/SurgeData/421-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/421-waterlevel_c.csv rename to SurgeData/421-waterlevel_c.csv diff --git a/SurgeData/N=1000/421-waterlevel_w.csv b/SurgeData/421-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/421-waterlevel_w.csv rename to SurgeData/421-waterlevel_w.csv diff --git a/SurgeData/N=1000/422-peak+year_c.csv b/SurgeData/422-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/422-peak+year_c.csv rename to SurgeData/422-peak+year_c.csv diff --git a/SurgeData/N=1000/422-peak+year_w.csv b/SurgeData/422-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/422-peak+year_w.csv rename to SurgeData/422-peak+year_w.csv diff --git a/SurgeData/N=1000/422-peak_c.csv b/SurgeData/422-peak_c.csv similarity index 100% rename from SurgeData/N=1000/422-peak_c.csv rename to SurgeData/422-peak_c.csv diff --git a/SurgeData/N=1000/422-peak_w.csv b/SurgeData/422-peak_w.csv similarity index 100% rename from SurgeData/N=1000/422-peak_w.csv rename to SurgeData/422-peak_w.csv diff --git a/SurgeData/N=1000/422-surge_c.csv b/SurgeData/422-surge_c.csv similarity index 100% rename from SurgeData/N=1000/422-surge_c.csv rename to SurgeData/422-surge_c.csv diff --git a/SurgeData/N=1000/422-surge_w.csv b/SurgeData/422-surge_w.csv similarity index 100% rename from SurgeData/N=1000/422-surge_w.csv rename to SurgeData/422-surge_w.csv diff --git a/SurgeData/N=1000/422-time_c.csv b/SurgeData/422-time_c.csv similarity index 100% rename from SurgeData/N=1000/422-time_c.csv rename to SurgeData/422-time_c.csv diff --git a/SurgeData/N=1000/422-time_w.csv b/SurgeData/422-time_w.csv similarity index 100% rename from SurgeData/N=1000/422-time_w.csv rename to SurgeData/422-time_w.csv diff --git a/SurgeData/N=1000/422-waterlevel_c.csv b/SurgeData/422-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/422-waterlevel_c.csv rename to SurgeData/422-waterlevel_c.csv diff --git a/SurgeData/N=1000/422-waterlevel_w.csv b/SurgeData/422-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/422-waterlevel_w.csv rename to SurgeData/422-waterlevel_w.csv diff --git a/SurgeData/423-num_storm.csv b/SurgeData/423-num_storm.csv new file mode 100644 index 00000000..599f190d --- /dev/null +++ b/SurgeData/423-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,4.0 +2022,1.0,2.0 +2023,0.0,2.0 +2024,3.0,4.0 +2025,1.0,4.0 +2026,1.0,6.0 +2027,2.0,1.0 +2028,2.0,2.0 +2029,0.0,6.0 +2030,1.0,5.0 +2031,2.0,4.0 +2032,1.0,4.0 +2033,0.0,3.0 +2034,1.0,6.0 +2035,2.0,4.0 +2036,4.0,4.0 +2037,3.0,6.0 +2038,1.0,4.0 +2039,3.0,1.0 +2040,2.0,3.0 +2041,2.0,3.0 +2042,2.0,2.0 +2043,1.0,5.0 +2044,3.0,8.0 +2045,2.0,7.0 +2046,3.0,4.0 +2047,0.0,2.0 +2048,1.0,4.0 +2049,2.0,1.0 +2050,0.0,3.0 +2051,1.0,2.0 +2052,1.0,4.0 +2053,1.0,2.0 +2054,1.0,4.0 +2055,4.0,5.0 +2056,1.0,5.0 +2057,4.0,3.0 +2058,1.0,2.0 +2059,1.0,2.0 +2060,2.0,2.0 +2061,4.0,7.0 +2062,1.0,6.0 +2063,3.0,6.0 +2064,2.0,2.0 +2065,0.0,5.0 +2066,2.0,3.0 +2067,3.0,4.0 +2068,2.0,1.0 +2069,0.0,2.0 +2070,1.0,6.0 +2071,1.0,2.0 +2072,1.0,3.0 +2073,2.0,6.0 +2074,0.0,6.0 +2075,4.0,9.0 +2076,2.0,2.0 +2077,1.0,6.0 +2078,3.0,4.0 +2079,1.0,3.0 +2080,2.0,9.0 +2081,1.0,2.0 +2082,1.0,6.0 +2083,3.0,4.0 +2084,2.0,2.0 +2085,0.0,7.0 +2086,2.0,6.0 +2087,0.0,5.0 +2088,2.0,6.0 +2089,1.0,6.0 +2090,1.0,5.0 +2091,2.0,0.0 +2092,3.0,8.0 +2093,2.0,3.0 +2094,0.0,8.0 +2095,2.0,5.0 +2096,2.0,3.0 +2097,3.0,1.0 +2098,3.0,6.0 +2099,1.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/423-peak+year_c.csv b/SurgeData/423-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/423-peak+year_c.csv rename to SurgeData/423-peak+year_c.csv diff --git a/SurgeData/N=1000/423-peak+year_w.csv b/SurgeData/423-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/423-peak+year_w.csv rename to SurgeData/423-peak+year_w.csv diff --git a/SurgeData/N=1000/423-peak_c.csv b/SurgeData/423-peak_c.csv similarity index 100% rename from SurgeData/N=1000/423-peak_c.csv rename to SurgeData/423-peak_c.csv diff --git a/SurgeData/N=1000/423-peak_w.csv b/SurgeData/423-peak_w.csv similarity index 100% rename from SurgeData/N=1000/423-peak_w.csv rename to SurgeData/423-peak_w.csv diff --git a/SurgeData/N=1000/423-surge_c.csv b/SurgeData/423-surge_c.csv similarity index 100% rename from SurgeData/N=1000/423-surge_c.csv rename to SurgeData/423-surge_c.csv diff --git a/SurgeData/N=1000/423-surge_w.csv b/SurgeData/423-surge_w.csv similarity index 100% rename from SurgeData/N=1000/423-surge_w.csv rename to SurgeData/423-surge_w.csv diff --git a/SurgeData/N=1000/423-time_c.csv b/SurgeData/423-time_c.csv similarity index 100% rename from SurgeData/N=1000/423-time_c.csv rename to SurgeData/423-time_c.csv diff --git a/SurgeData/N=1000/423-time_w.csv b/SurgeData/423-time_w.csv similarity index 100% rename from SurgeData/N=1000/423-time_w.csv rename to SurgeData/423-time_w.csv diff --git a/SurgeData/N=1000/423-waterlevel_c.csv b/SurgeData/423-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/423-waterlevel_c.csv rename to SurgeData/423-waterlevel_c.csv diff --git a/SurgeData/N=1000/423-waterlevel_w.csv b/SurgeData/423-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/423-waterlevel_w.csv rename to SurgeData/423-waterlevel_w.csv diff --git a/SurgeData/424-num_storm.csv b/SurgeData/424-num_storm.csv new file mode 100644 index 00000000..d8e51771 --- /dev/null +++ b/SurgeData/424-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,3.0,5.0 +2022,2.0,5.0 +2023,0.0,0.0 +2024,2.0,6.0 +2025,3.0,3.0 +2026,1.0,5.0 +2027,0.0,6.0 +2028,2.0,3.0 +2029,1.0,7.0 +2030,2.0,5.0 +2031,1.0,6.0 +2032,2.0,3.0 +2033,1.0,4.0 +2034,3.0,6.0 +2035,0.0,7.0 +2036,0.0,5.0 +2037,2.0,7.0 +2038,2.0,5.0 +2039,3.0,3.0 +2040,2.0,5.0 +2041,0.0,2.0 +2042,1.0,1.0 +2043,1.0,4.0 +2044,2.0,7.0 +2045,1.0,0.0 +2046,1.0,1.0 +2047,2.0,4.0 +2048,3.0,3.0 +2049,1.0,3.0 +2050,0.0,2.0 +2051,1.0,4.0 +2052,1.0,7.0 +2053,1.0,5.0 +2054,0.0,3.0 +2055,2.0,5.0 +2056,0.0,1.0 +2057,4.0,2.0 +2058,1.0,6.0 +2059,3.0,6.0 +2060,4.0,3.0 +2061,2.0,5.0 +2062,2.0,3.0 +2063,3.0,8.0 +2064,2.0,4.0 +2065,4.0,8.0 +2066,3.0,4.0 +2067,0.0,2.0 +2068,4.0,4.0 +2069,2.0,2.0 +2070,3.0,3.0 +2071,1.0,4.0 +2072,1.0,7.0 +2073,3.0,3.0 +2074,3.0,3.0 +2075,1.0,4.0 +2076,1.0,1.0 +2077,0.0,2.0 +2078,2.0,4.0 +2079,2.0,3.0 +2080,2.0,6.0 +2081,0.0,1.0 +2082,1.0,1.0 +2083,3.0,3.0 +2084,0.0,4.0 +2085,1.0,6.0 +2086,3.0,2.0 +2087,1.0,6.0 +2088,2.0,4.0 +2089,2.0,6.0 +2090,1.0,6.0 +2091,2.0,6.0 +2092,3.0,1.0 +2093,3.0,4.0 +2094,0.0,4.0 +2095,2.0,5.0 +2096,1.0,7.0 +2097,0.0,5.0 +2098,0.0,5.0 +2099,1.0,6.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/424-peak+year_c.csv b/SurgeData/424-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/424-peak+year_c.csv rename to SurgeData/424-peak+year_c.csv diff --git a/SurgeData/N=1000/424-peak+year_w.csv b/SurgeData/424-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/424-peak+year_w.csv rename to SurgeData/424-peak+year_w.csv diff --git a/SurgeData/N=1000/424-peak_c.csv b/SurgeData/424-peak_c.csv similarity index 100% rename from SurgeData/N=1000/424-peak_c.csv rename to SurgeData/424-peak_c.csv diff --git a/SurgeData/N=1000/424-peak_w.csv b/SurgeData/424-peak_w.csv similarity index 100% rename from SurgeData/N=1000/424-peak_w.csv rename to SurgeData/424-peak_w.csv diff --git a/SurgeData/N=1000/424-surge_c.csv b/SurgeData/424-surge_c.csv similarity index 100% rename from SurgeData/N=1000/424-surge_c.csv rename to SurgeData/424-surge_c.csv diff --git a/SurgeData/N=1000/424-surge_w.csv b/SurgeData/424-surge_w.csv similarity index 100% rename from SurgeData/N=1000/424-surge_w.csv rename to SurgeData/424-surge_w.csv diff --git a/SurgeData/N=1000/424-time_c.csv b/SurgeData/424-time_c.csv similarity index 100% rename from SurgeData/N=1000/424-time_c.csv rename to SurgeData/424-time_c.csv diff --git a/SurgeData/N=1000/424-time_w.csv b/SurgeData/424-time_w.csv similarity index 100% rename from SurgeData/N=1000/424-time_w.csv rename to SurgeData/424-time_w.csv diff --git a/SurgeData/N=1000/424-waterlevel_c.csv b/SurgeData/424-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/424-waterlevel_c.csv rename to SurgeData/424-waterlevel_c.csv diff --git a/SurgeData/N=1000/424-waterlevel_w.csv b/SurgeData/424-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/424-waterlevel_w.csv rename to SurgeData/424-waterlevel_w.csv diff --git a/SurgeData/425-num_storm.csv b/SurgeData/425-num_storm.csv new file mode 100644 index 00000000..0cd1b6f6 --- /dev/null +++ b/SurgeData/425-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,1.0,6.0 +2022,2.0,3.0 +2023,3.0,6.0 +2024,1.0,1.0 +2025,0.0,5.0 +2026,0.0,5.0 +2027,1.0,4.0 +2028,2.0,3.0 +2029,0.0,1.0 +2030,2.0,7.0 +2031,3.0,3.0 +2032,1.0,2.0 +2033,2.0,6.0 +2034,2.0,3.0 +2035,1.0,8.0 +2036,2.0,5.0 +2037,4.0,6.0 +2038,3.0,6.0 +2039,2.0,2.0 +2040,2.0,5.0 +2041,2.0,8.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,2.0,3.0 +2045,2.0,1.0 +2046,0.0,7.0 +2047,0.0,3.0 +2048,3.0,3.0 +2049,1.0,2.0 +2050,4.0,1.0 +2051,2.0,5.0 +2052,1.0,6.0 +2053,1.0,5.0 +2054,5.0,6.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,3.0,5.0 +2058,5.0,5.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,1.0,2.0 +2062,3.0,3.0 +2063,2.0,2.0 +2064,4.0,3.0 +2065,0.0,6.0 +2066,0.0,9.0 +2067,0.0,2.0 +2068,2.0,3.0 +2069,1.0,9.0 +2070,3.0,5.0 +2071,2.0,2.0 +2072,1.0,4.0 +2073,0.0,1.0 +2074,2.0,4.0 +2075,0.0,1.0 +2076,3.0,5.0 +2077,0.0,5.0 +2078,2.0,5.0 +2079,2.0,5.0 +2080,3.0,6.0 +2081,1.0,4.0 +2082,3.0,8.0 +2083,0.0,4.0 +2084,0.0,5.0 +2085,2.0,4.0 +2086,2.0,4.0 +2087,4.0,7.0 +2088,1.0,3.0 +2089,1.0,4.0 +2090,3.0,3.0 +2091,2.0,0.0 +2092,0.0,9.0 +2093,2.0,2.0 +2094,2.0,4.0 +2095,1.0,3.0 +2096,1.0,2.0 +2097,0.0,4.0 +2098,1.0,5.0 +2099,2.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/425-peak+year_c.csv b/SurgeData/425-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/425-peak+year_c.csv rename to SurgeData/425-peak+year_c.csv diff --git a/SurgeData/N=1000/425-peak+year_w.csv b/SurgeData/425-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/425-peak+year_w.csv rename to SurgeData/425-peak+year_w.csv diff --git a/SurgeData/N=1000/425-peak_c.csv b/SurgeData/425-peak_c.csv similarity index 100% rename from SurgeData/N=1000/425-peak_c.csv rename to SurgeData/425-peak_c.csv diff --git a/SurgeData/N=1000/425-peak_w.csv b/SurgeData/425-peak_w.csv similarity index 100% rename from SurgeData/N=1000/425-peak_w.csv rename to SurgeData/425-peak_w.csv diff --git a/SurgeData/N=1000/425-surge_c.csv b/SurgeData/425-surge_c.csv similarity index 100% rename from SurgeData/N=1000/425-surge_c.csv rename to SurgeData/425-surge_c.csv diff --git a/SurgeData/N=1000/425-surge_w.csv b/SurgeData/425-surge_w.csv similarity index 100% rename from SurgeData/N=1000/425-surge_w.csv rename to SurgeData/425-surge_w.csv diff --git a/SurgeData/N=1000/425-time_c.csv b/SurgeData/425-time_c.csv similarity index 100% rename from SurgeData/N=1000/425-time_c.csv rename to SurgeData/425-time_c.csv diff --git a/SurgeData/N=1000/425-time_w.csv b/SurgeData/425-time_w.csv similarity index 100% rename from SurgeData/N=1000/425-time_w.csv rename to SurgeData/425-time_w.csv diff --git a/SurgeData/N=1000/425-waterlevel_c.csv b/SurgeData/425-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/425-waterlevel_c.csv rename to SurgeData/425-waterlevel_c.csv diff --git a/SurgeData/N=1000/425-waterlevel_w.csv b/SurgeData/425-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/425-waterlevel_w.csv rename to SurgeData/425-waterlevel_w.csv diff --git a/SurgeData/426-num_storm.csv b/SurgeData/426-num_storm.csv new file mode 100644 index 00000000..5cd6372b --- /dev/null +++ b/SurgeData/426-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,4.0,6.0 +2022,2.0,9.0 +2023,1.0,7.0 +2024,1.0,7.0 +2025,1.0,3.0 +2026,3.0,6.0 +2027,3.0,3.0 +2028,4.0,7.0 +2029,6.0,5.0 +2030,2.0,2.0 +2031,0.0,3.0 +2032,2.0,3.0 +2033,1.0,1.0 +2034,0.0,2.0 +2035,1.0,4.0 +2036,0.0,5.0 +2037,1.0,7.0 +2038,2.0,6.0 +2039,1.0,2.0 +2040,2.0,1.0 +2041,0.0,3.0 +2042,3.0,1.0 +2043,2.0,3.0 +2044,1.0,4.0 +2045,0.0,2.0 +2046,2.0,5.0 +2047,1.0,4.0 +2048,0.0,4.0 +2049,2.0,8.0 +2050,2.0,5.0 +2051,0.0,1.0 +2052,1.0,10.0 +2053,0.0,6.0 +2054,0.0,3.0 +2055,2.0,4.0 +2056,1.0,5.0 +2057,1.0,5.0 +2058,3.0,4.0 +2059,4.0,1.0 +2060,0.0,7.0 +2061,0.0,6.0 +2062,1.0,4.0 +2063,0.0,4.0 +2064,1.0,6.0 +2065,1.0,5.0 +2066,0.0,5.0 +2067,2.0,3.0 +2068,1.0,4.0 +2069,0.0,2.0 +2070,2.0,2.0 +2071,3.0,4.0 +2072,3.0,4.0 +2073,2.0,3.0 +2074,0.0,3.0 +2075,2.0,6.0 +2076,2.0,6.0 +2077,1.0,5.0 +2078,3.0,4.0 +2079,2.0,4.0 +2080,2.0,8.0 +2081,0.0,2.0 +2082,5.0,5.0 +2083,1.0,4.0 +2084,2.0,5.0 +2085,2.0,2.0 +2086,2.0,8.0 +2087,4.0,4.0 +2088,1.0,3.0 +2089,3.0,3.0 +2090,1.0,4.0 +2091,0.0,1.0 +2092,1.0,3.0 +2093,1.0,6.0 +2094,1.0,5.0 +2095,1.0,3.0 +2096,0.0,5.0 +2097,3.0,4.0 +2098,2.0,7.0 +2099,3.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/426-peak+year_c.csv b/SurgeData/426-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/426-peak+year_c.csv rename to SurgeData/426-peak+year_c.csv diff --git a/SurgeData/N=1000/426-peak+year_w.csv b/SurgeData/426-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/426-peak+year_w.csv rename to SurgeData/426-peak+year_w.csv diff --git a/SurgeData/N=1000/426-peak_c.csv b/SurgeData/426-peak_c.csv similarity index 100% rename from SurgeData/N=1000/426-peak_c.csv rename to SurgeData/426-peak_c.csv diff --git a/SurgeData/N=1000/426-peak_w.csv b/SurgeData/426-peak_w.csv similarity index 100% rename from SurgeData/N=1000/426-peak_w.csv rename to SurgeData/426-peak_w.csv diff --git a/SurgeData/N=1000/426-surge_c.csv b/SurgeData/426-surge_c.csv similarity index 100% rename from SurgeData/N=1000/426-surge_c.csv rename to SurgeData/426-surge_c.csv diff --git a/SurgeData/N=1000/426-surge_w.csv b/SurgeData/426-surge_w.csv similarity index 100% rename from SurgeData/N=1000/426-surge_w.csv rename to SurgeData/426-surge_w.csv diff --git a/SurgeData/N=1000/426-time_c.csv b/SurgeData/426-time_c.csv similarity index 100% rename from SurgeData/N=1000/426-time_c.csv rename to SurgeData/426-time_c.csv diff --git a/SurgeData/N=1000/426-time_w.csv b/SurgeData/426-time_w.csv similarity index 100% rename from SurgeData/N=1000/426-time_w.csv rename to SurgeData/426-time_w.csv diff --git a/SurgeData/N=1000/426-waterlevel_c.csv b/SurgeData/426-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/426-waterlevel_c.csv rename to SurgeData/426-waterlevel_c.csv diff --git a/SurgeData/N=1000/426-waterlevel_w.csv b/SurgeData/426-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/426-waterlevel_w.csv rename to SurgeData/426-waterlevel_w.csv diff --git a/SurgeData/427-num_storm.csv b/SurgeData/427-num_storm.csv new file mode 100644 index 00000000..c03db134 --- /dev/null +++ b/SurgeData/427-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,4.0 +2022,2.0,8.0 +2023,1.0,0.0 +2024,3.0,6.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,3.0,2.0 +2028,5.0,6.0 +2029,2.0,6.0 +2030,1.0,7.0 +2031,1.0,3.0 +2032,2.0,2.0 +2033,1.0,7.0 +2034,1.0,4.0 +2035,1.0,3.0 +2036,2.0,1.0 +2037,2.0,2.0 +2038,2.0,5.0 +2039,1.0,3.0 +2040,1.0,6.0 +2041,3.0,3.0 +2042,1.0,5.0 +2043,3.0,3.0 +2044,0.0,4.0 +2045,3.0,1.0 +2046,2.0,4.0 +2047,3.0,4.0 +2048,0.0,7.0 +2049,2.0,1.0 +2050,6.0,3.0 +2051,1.0,4.0 +2052,1.0,3.0 +2053,2.0,5.0 +2054,2.0,2.0 +2055,2.0,5.0 +2056,1.0,2.0 +2057,3.0,5.0 +2058,3.0,3.0 +2059,1.0,2.0 +2060,0.0,3.0 +2061,1.0,3.0 +2062,0.0,6.0 +2063,3.0,3.0 +2064,2.0,7.0 +2065,1.0,5.0 +2066,1.0,5.0 +2067,1.0,6.0 +2068,1.0,2.0 +2069,0.0,2.0 +2070,1.0,2.0 +2071,3.0,4.0 +2072,3.0,4.0 +2073,1.0,5.0 +2074,0.0,4.0 +2075,1.0,3.0 +2076,2.0,5.0 +2077,1.0,2.0 +2078,0.0,2.0 +2079,0.0,3.0 +2080,2.0,8.0 +2081,3.0,4.0 +2082,1.0,8.0 +2083,2.0,1.0 +2084,1.0,5.0 +2085,0.0,5.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,1.0,1.0 +2089,0.0,2.0 +2090,0.0,1.0 +2091,2.0,6.0 +2092,1.0,5.0 +2093,3.0,6.0 +2094,2.0,7.0 +2095,1.0,4.0 +2096,1.0,1.0 +2097,1.0,2.0 +2098,3.0,2.0 +2099,0.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/427-peak+year_c.csv b/SurgeData/427-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/427-peak+year_c.csv rename to SurgeData/427-peak+year_c.csv diff --git a/SurgeData/N=1000/427-peak+year_w.csv b/SurgeData/427-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/427-peak+year_w.csv rename to SurgeData/427-peak+year_w.csv diff --git a/SurgeData/N=1000/427-peak_c.csv b/SurgeData/427-peak_c.csv similarity index 100% rename from SurgeData/N=1000/427-peak_c.csv rename to SurgeData/427-peak_c.csv diff --git a/SurgeData/N=1000/427-peak_w.csv b/SurgeData/427-peak_w.csv similarity index 100% rename from SurgeData/N=1000/427-peak_w.csv rename to SurgeData/427-peak_w.csv diff --git a/SurgeData/N=1000/427-surge_c.csv b/SurgeData/427-surge_c.csv similarity index 100% rename from SurgeData/N=1000/427-surge_c.csv rename to SurgeData/427-surge_c.csv diff --git a/SurgeData/N=1000/427-surge_w.csv b/SurgeData/427-surge_w.csv similarity index 100% rename from SurgeData/N=1000/427-surge_w.csv rename to SurgeData/427-surge_w.csv diff --git a/SurgeData/N=1000/427-time_c.csv b/SurgeData/427-time_c.csv similarity index 100% rename from SurgeData/N=1000/427-time_c.csv rename to SurgeData/427-time_c.csv diff --git a/SurgeData/N=1000/427-time_w.csv b/SurgeData/427-time_w.csv similarity index 100% rename from SurgeData/N=1000/427-time_w.csv rename to SurgeData/427-time_w.csv diff --git a/SurgeData/N=1000/427-waterlevel_c.csv b/SurgeData/427-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/427-waterlevel_c.csv rename to SurgeData/427-waterlevel_c.csv diff --git a/SurgeData/N=1000/427-waterlevel_w.csv b/SurgeData/427-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/427-waterlevel_w.csv rename to SurgeData/427-waterlevel_w.csv diff --git a/SurgeData/428-num_storm.csv b/SurgeData/428-num_storm.csv new file mode 100644 index 00000000..a1cf1321 --- /dev/null +++ b/SurgeData/428-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,6.0 +2022,3.0,2.0 +2023,3.0,3.0 +2024,1.0,3.0 +2025,0.0,4.0 +2026,3.0,0.0 +2027,2.0,4.0 +2028,0.0,3.0 +2029,3.0,3.0 +2030,1.0,3.0 +2031,1.0,2.0 +2032,2.0,3.0 +2033,3.0,2.0 +2034,0.0,4.0 +2035,1.0,5.0 +2036,3.0,4.0 +2037,3.0,6.0 +2038,2.0,8.0 +2039,2.0,3.0 +2040,3.0,5.0 +2041,3.0,2.0 +2042,1.0,5.0 +2043,0.0,5.0 +2044,1.0,4.0 +2045,1.0,4.0 +2046,2.0,6.0 +2047,2.0,3.0 +2048,3.0,5.0 +2049,3.0,3.0 +2050,2.0,0.0 +2051,2.0,3.0 +2052,0.0,4.0 +2053,0.0,2.0 +2054,1.0,8.0 +2055,2.0,5.0 +2056,1.0,5.0 +2057,3.0,4.0 +2058,4.0,5.0 +2059,6.0,3.0 +2060,0.0,2.0 +2061,3.0,2.0 +2062,3.0,5.0 +2063,4.0,3.0 +2064,2.0,5.0 +2065,0.0,2.0 +2066,3.0,3.0 +2067,0.0,3.0 +2068,2.0,5.0 +2069,2.0,4.0 +2070,1.0,4.0 +2071,1.0,6.0 +2072,1.0,3.0 +2073,2.0,1.0 +2074,2.0,5.0 +2075,1.0,4.0 +2076,2.0,6.0 +2077,1.0,1.0 +2078,2.0,2.0 +2079,0.0,5.0 +2080,2.0,3.0 +2081,1.0,4.0 +2082,1.0,4.0 +2083,0.0,3.0 +2084,2.0,5.0 +2085,1.0,6.0 +2086,2.0,3.0 +2087,1.0,6.0 +2088,4.0,2.0 +2089,0.0,2.0 +2090,0.0,4.0 +2091,2.0,5.0 +2092,0.0,5.0 +2093,3.0,6.0 +2094,1.0,8.0 +2095,1.0,1.0 +2096,2.0,2.0 +2097,3.0,6.0 +2098,1.0,5.0 +2099,0.0,1.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/428-peak+year_c.csv b/SurgeData/428-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/428-peak+year_c.csv rename to SurgeData/428-peak+year_c.csv diff --git a/SurgeData/N=1000/428-peak+year_w.csv b/SurgeData/428-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/428-peak+year_w.csv rename to SurgeData/428-peak+year_w.csv diff --git a/SurgeData/N=1000/428-peak_c.csv b/SurgeData/428-peak_c.csv similarity index 100% rename from SurgeData/N=1000/428-peak_c.csv rename to SurgeData/428-peak_c.csv diff --git a/SurgeData/N=1000/428-peak_w.csv b/SurgeData/428-peak_w.csv similarity index 100% rename from SurgeData/N=1000/428-peak_w.csv rename to SurgeData/428-peak_w.csv diff --git a/SurgeData/N=1000/428-surge_c.csv b/SurgeData/428-surge_c.csv similarity index 100% rename from SurgeData/N=1000/428-surge_c.csv rename to SurgeData/428-surge_c.csv diff --git a/SurgeData/N=1000/428-surge_w.csv b/SurgeData/428-surge_w.csv similarity index 100% rename from SurgeData/N=1000/428-surge_w.csv rename to SurgeData/428-surge_w.csv diff --git a/SurgeData/N=1000/428-time_c.csv b/SurgeData/428-time_c.csv similarity index 100% rename from SurgeData/N=1000/428-time_c.csv rename to SurgeData/428-time_c.csv diff --git a/SurgeData/N=1000/428-time_w.csv b/SurgeData/428-time_w.csv similarity index 100% rename from SurgeData/N=1000/428-time_w.csv rename to SurgeData/428-time_w.csv diff --git a/SurgeData/N=1000/428-waterlevel_c.csv b/SurgeData/428-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/428-waterlevel_c.csv rename to SurgeData/428-waterlevel_c.csv diff --git a/SurgeData/N=1000/428-waterlevel_w.csv b/SurgeData/428-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/428-waterlevel_w.csv rename to SurgeData/428-waterlevel_w.csv diff --git a/SurgeData/429-num_storm.csv b/SurgeData/429-num_storm.csv new file mode 100644 index 00000000..ac708c43 --- /dev/null +++ b/SurgeData/429-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,1.0 +2022,3.0,8.0 +2023,1.0,2.0 +2024,0.0,2.0 +2025,1.0,4.0 +2026,2.0,4.0 +2027,2.0,3.0 +2028,1.0,5.0 +2029,1.0,5.0 +2030,0.0,6.0 +2031,1.0,5.0 +2032,2.0,2.0 +2033,2.0,9.0 +2034,1.0,5.0 +2035,4.0,3.0 +2036,1.0,5.0 +2037,2.0,4.0 +2038,1.0,7.0 +2039,1.0,4.0 +2040,1.0,3.0 +2041,2.0,4.0 +2042,2.0,5.0 +2043,1.0,2.0 +2044,4.0,1.0 +2045,1.0,3.0 +2046,1.0,3.0 +2047,2.0,2.0 +2048,0.0,3.0 +2049,0.0,5.0 +2050,2.0,7.0 +2051,1.0,5.0 +2052,2.0,4.0 +2053,1.0,5.0 +2054,1.0,6.0 +2055,0.0,5.0 +2056,4.0,2.0 +2057,3.0,3.0 +2058,2.0,4.0 +2059,1.0,3.0 +2060,3.0,3.0 +2061,1.0,3.0 +2062,3.0,1.0 +2063,1.0,4.0 +2064,1.0,7.0 +2065,3.0,1.0 +2066,1.0,2.0 +2067,2.0,9.0 +2068,2.0,2.0 +2069,0.0,6.0 +2070,1.0,5.0 +2071,0.0,5.0 +2072,0.0,1.0 +2073,0.0,3.0 +2074,1.0,3.0 +2075,1.0,3.0 +2076,0.0,2.0 +2077,2.0,5.0 +2078,0.0,7.0 +2079,1.0,3.0 +2080,3.0,4.0 +2081,3.0,6.0 +2082,1.0,4.0 +2083,1.0,5.0 +2084,1.0,6.0 +2085,1.0,1.0 +2086,3.0,7.0 +2087,2.0,1.0 +2088,2.0,5.0 +2089,1.0,8.0 +2090,4.0,6.0 +2091,1.0,1.0 +2092,3.0,0.0 +2093,1.0,5.0 +2094,2.0,1.0 +2095,5.0,3.0 +2096,0.0,2.0 +2097,3.0,7.0 +2098,1.0,5.0 +2099,1.0,7.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/429-peak+year_c.csv b/SurgeData/429-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/429-peak+year_c.csv rename to SurgeData/429-peak+year_c.csv diff --git a/SurgeData/N=1000/429-peak+year_w.csv b/SurgeData/429-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/429-peak+year_w.csv rename to SurgeData/429-peak+year_w.csv diff --git a/SurgeData/N=1000/429-peak_c.csv b/SurgeData/429-peak_c.csv similarity index 100% rename from SurgeData/N=1000/429-peak_c.csv rename to SurgeData/429-peak_c.csv diff --git a/SurgeData/N=1000/429-peak_w.csv b/SurgeData/429-peak_w.csv similarity index 100% rename from SurgeData/N=1000/429-peak_w.csv rename to SurgeData/429-peak_w.csv diff --git a/SurgeData/N=1000/429-surge_c.csv b/SurgeData/429-surge_c.csv similarity index 100% rename from SurgeData/N=1000/429-surge_c.csv rename to SurgeData/429-surge_c.csv diff --git a/SurgeData/N=1000/429-surge_w.csv b/SurgeData/429-surge_w.csv similarity index 100% rename from SurgeData/N=1000/429-surge_w.csv rename to SurgeData/429-surge_w.csv diff --git a/SurgeData/N=1000/429-time_c.csv b/SurgeData/429-time_c.csv similarity index 100% rename from SurgeData/N=1000/429-time_c.csv rename to SurgeData/429-time_c.csv diff --git a/SurgeData/N=1000/429-time_w.csv b/SurgeData/429-time_w.csv similarity index 100% rename from SurgeData/N=1000/429-time_w.csv rename to SurgeData/429-time_w.csv diff --git a/SurgeData/N=1000/429-waterlevel_c.csv b/SurgeData/429-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/429-waterlevel_c.csv rename to SurgeData/429-waterlevel_c.csv diff --git a/SurgeData/N=1000/429-waterlevel_w.csv b/SurgeData/429-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/429-waterlevel_w.csv rename to SurgeData/429-waterlevel_w.csv diff --git a/SurgeData/43-num_storm.csv b/SurgeData/43-num_storm.csv new file mode 100644 index 00000000..52a137b6 --- /dev/null +++ b/SurgeData/43-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,1.0,9.0 +2022,2.0,3.0 +2023,4.0,2.0 +2024,1.0,5.0 +2025,3.0,3.0 +2026,3.0,3.0 +2027,2.0,3.0 +2028,3.0,5.0 +2029,2.0,4.0 +2030,1.0,4.0 +2031,3.0,7.0 +2032,4.0,1.0 +2033,3.0,2.0 +2034,1.0,3.0 +2035,0.0,4.0 +2036,1.0,3.0 +2037,1.0,5.0 +2038,0.0,3.0 +2039,3.0,5.0 +2040,2.0,5.0 +2041,2.0,5.0 +2042,1.0,4.0 +2043,2.0,5.0 +2044,1.0,2.0 +2045,2.0,4.0 +2046,0.0,4.0 +2047,1.0,6.0 +2048,1.0,2.0 +2049,2.0,1.0 +2050,2.0,1.0 +2051,2.0,3.0 +2052,2.0,4.0 +2053,2.0,3.0 +2054,3.0,3.0 +2055,0.0,5.0 +2056,3.0,4.0 +2057,0.0,4.0 +2058,4.0,4.0 +2059,4.0,3.0 +2060,1.0,3.0 +2061,1.0,7.0 +2062,2.0,3.0 +2063,1.0,3.0 +2064,0.0,4.0 +2065,0.0,3.0 +2066,2.0,5.0 +2067,2.0,8.0 +2068,2.0,1.0 +2069,0.0,5.0 +2070,2.0,4.0 +2071,4.0,3.0 +2072,1.0,6.0 +2073,0.0,2.0 +2074,2.0,7.0 +2075,1.0,2.0 +2076,2.0,2.0 +2077,1.0,8.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,0.0,1.0 +2081,1.0,4.0 +2082,1.0,3.0 +2083,2.0,3.0 +2084,1.0,6.0 +2085,1.0,3.0 +2086,3.0,4.0 +2087,4.0,8.0 +2088,1.0,1.0 +2089,3.0,3.0 +2090,2.0,2.0 +2091,1.0,4.0 +2092,1.0,4.0 +2093,2.0,7.0 +2094,2.0,7.0 +2095,1.0,5.0 +2096,0.0,4.0 +2097,3.0,3.0 +2098,2.0,6.0 +2099,7.0,6.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/43-peak+year_c.csv b/SurgeData/43-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/43-peak+year_c.csv rename to SurgeData/43-peak+year_c.csv diff --git a/SurgeData/N=1000/43-peak+year_w.csv b/SurgeData/43-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/43-peak+year_w.csv rename to SurgeData/43-peak+year_w.csv diff --git a/SurgeData/N=1000/43-peak_c.csv b/SurgeData/43-peak_c.csv similarity index 100% rename from SurgeData/N=1000/43-peak_c.csv rename to SurgeData/43-peak_c.csv diff --git a/SurgeData/N=1000/43-peak_w.csv b/SurgeData/43-peak_w.csv similarity index 100% rename from SurgeData/N=1000/43-peak_w.csv rename to SurgeData/43-peak_w.csv diff --git a/SurgeData/N=1000/43-surge_c.csv b/SurgeData/43-surge_c.csv similarity index 100% rename from SurgeData/N=1000/43-surge_c.csv rename to SurgeData/43-surge_c.csv diff --git a/SurgeData/N=1000/43-surge_w.csv b/SurgeData/43-surge_w.csv similarity index 100% rename from SurgeData/N=1000/43-surge_w.csv rename to SurgeData/43-surge_w.csv diff --git a/SurgeData/N=1000/43-time_c.csv b/SurgeData/43-time_c.csv similarity index 100% rename from SurgeData/N=1000/43-time_c.csv rename to SurgeData/43-time_c.csv diff --git a/SurgeData/N=1000/43-time_w.csv b/SurgeData/43-time_w.csv similarity index 100% rename from SurgeData/N=1000/43-time_w.csv rename to SurgeData/43-time_w.csv diff --git a/SurgeData/N=1000/43-waterlevel_c.csv b/SurgeData/43-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/43-waterlevel_c.csv rename to SurgeData/43-waterlevel_c.csv diff --git a/SurgeData/N=1000/43-waterlevel_w.csv b/SurgeData/43-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/43-waterlevel_w.csv rename to SurgeData/43-waterlevel_w.csv diff --git a/SurgeData/N=1000/430-peak+year_c.csv b/SurgeData/430-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/430-peak+year_c.csv rename to SurgeData/430-peak+year_c.csv diff --git a/SurgeData/N=1000/430-peak+year_w.csv b/SurgeData/430-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/430-peak+year_w.csv rename to SurgeData/430-peak+year_w.csv diff --git a/SurgeData/N=1000/430-peak_c.csv b/SurgeData/430-peak_c.csv similarity index 100% rename from SurgeData/N=1000/430-peak_c.csv rename to SurgeData/430-peak_c.csv diff --git a/SurgeData/N=1000/430-peak_w.csv b/SurgeData/430-peak_w.csv similarity index 100% rename from SurgeData/N=1000/430-peak_w.csv rename to SurgeData/430-peak_w.csv diff --git a/SurgeData/N=1000/430-surge_c.csv b/SurgeData/430-surge_c.csv similarity index 100% rename from SurgeData/N=1000/430-surge_c.csv rename to SurgeData/430-surge_c.csv diff --git a/SurgeData/N=1000/430-surge_w.csv b/SurgeData/430-surge_w.csv similarity index 100% rename from SurgeData/N=1000/430-surge_w.csv rename to SurgeData/430-surge_w.csv diff --git a/SurgeData/N=1000/430-time_c.csv b/SurgeData/430-time_c.csv similarity index 100% rename from SurgeData/N=1000/430-time_c.csv rename to SurgeData/430-time_c.csv diff --git a/SurgeData/N=1000/430-time_w.csv b/SurgeData/430-time_w.csv similarity index 100% rename from SurgeData/N=1000/430-time_w.csv rename to SurgeData/430-time_w.csv diff --git a/SurgeData/N=1000/430-waterlevel_c.csv b/SurgeData/430-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/430-waterlevel_c.csv rename to SurgeData/430-waterlevel_c.csv diff --git a/SurgeData/N=1000/430-waterlevel_w.csv b/SurgeData/430-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/430-waterlevel_w.csv rename to SurgeData/430-waterlevel_w.csv diff --git a/SurgeData/431-num_storm.csv b/SurgeData/431-num_storm.csv new file mode 100644 index 00000000..6e1d9472 --- /dev/null +++ b/SurgeData/431-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,0.0 +2022,1.0,3.0 +2023,0.0,1.0 +2024,0.0,5.0 +2025,2.0,9.0 +2026,2.0,5.0 +2027,1.0,4.0 +2028,2.0,3.0 +2029,1.0,2.0 +2030,1.0,4.0 +2031,1.0,6.0 +2032,2.0,5.0 +2033,2.0,6.0 +2034,0.0,1.0 +2035,1.0,6.0 +2036,0.0,4.0 +2037,1.0,8.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,2.0,2.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,1.0,8.0 +2044,1.0,5.0 +2045,2.0,7.0 +2046,3.0,5.0 +2047,1.0,5.0 +2048,2.0,3.0 +2049,0.0,7.0 +2050,2.0,2.0 +2051,1.0,6.0 +2052,1.0,3.0 +2053,1.0,8.0 +2054,3.0,1.0 +2055,0.0,4.0 +2056,3.0,4.0 +2057,3.0,10.0 +2058,1.0,4.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,0.0,4.0 +2062,1.0,7.0 +2063,2.0,1.0 +2064,1.0,1.0 +2065,1.0,6.0 +2066,4.0,5.0 +2067,1.0,3.0 +2068,2.0,3.0 +2069,1.0,3.0 +2070,3.0,3.0 +2071,1.0,3.0 +2072,2.0,5.0 +2073,3.0,10.0 +2074,3.0,6.0 +2075,0.0,5.0 +2076,3.0,0.0 +2077,0.0,3.0 +2078,0.0,5.0 +2079,1.0,3.0 +2080,2.0,6.0 +2081,1.0,3.0 +2082,1.0,2.0 +2083,0.0,2.0 +2084,3.0,4.0 +2085,1.0,4.0 +2086,1.0,4.0 +2087,2.0,2.0 +2088,1.0,6.0 +2089,0.0,2.0 +2090,0.0,2.0 +2091,2.0,5.0 +2092,1.0,0.0 +2093,0.0,3.0 +2094,4.0,1.0 +2095,1.0,3.0 +2096,1.0,2.0 +2097,3.0,3.0 +2098,1.0,3.0 +2099,0.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/431-peak+year_c.csv b/SurgeData/431-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/431-peak+year_c.csv rename to SurgeData/431-peak+year_c.csv diff --git a/SurgeData/N=1000/431-peak+year_w.csv b/SurgeData/431-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/431-peak+year_w.csv rename to SurgeData/431-peak+year_w.csv diff --git a/SurgeData/N=1000/431-peak_c.csv b/SurgeData/431-peak_c.csv similarity index 100% rename from SurgeData/N=1000/431-peak_c.csv rename to SurgeData/431-peak_c.csv diff --git a/SurgeData/N=1000/431-peak_w.csv b/SurgeData/431-peak_w.csv similarity index 100% rename from SurgeData/N=1000/431-peak_w.csv rename to SurgeData/431-peak_w.csv diff --git a/SurgeData/N=1000/431-surge_c.csv b/SurgeData/431-surge_c.csv similarity index 100% rename from SurgeData/N=1000/431-surge_c.csv rename to SurgeData/431-surge_c.csv diff --git a/SurgeData/N=1000/431-surge_w.csv b/SurgeData/431-surge_w.csv similarity index 100% rename from SurgeData/N=1000/431-surge_w.csv rename to SurgeData/431-surge_w.csv diff --git a/SurgeData/N=1000/431-time_c.csv b/SurgeData/431-time_c.csv similarity index 100% rename from SurgeData/N=1000/431-time_c.csv rename to SurgeData/431-time_c.csv diff --git a/SurgeData/N=1000/431-time_w.csv b/SurgeData/431-time_w.csv similarity index 100% rename from SurgeData/N=1000/431-time_w.csv rename to SurgeData/431-time_w.csv diff --git a/SurgeData/N=1000/431-waterlevel_c.csv b/SurgeData/431-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/431-waterlevel_c.csv rename to SurgeData/431-waterlevel_c.csv diff --git a/SurgeData/N=1000/431-waterlevel_w.csv b/SurgeData/431-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/431-waterlevel_w.csv rename to SurgeData/431-waterlevel_w.csv diff --git a/SurgeData/N=1000/432-peak+year_c.csv b/SurgeData/432-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/432-peak+year_c.csv rename to SurgeData/432-peak+year_c.csv diff --git a/SurgeData/N=1000/432-peak+year_w.csv b/SurgeData/432-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/432-peak+year_w.csv rename to SurgeData/432-peak+year_w.csv diff --git a/SurgeData/N=1000/432-peak_c.csv b/SurgeData/432-peak_c.csv similarity index 100% rename from SurgeData/N=1000/432-peak_c.csv rename to SurgeData/432-peak_c.csv diff --git a/SurgeData/N=1000/432-peak_w.csv b/SurgeData/432-peak_w.csv similarity index 100% rename from SurgeData/N=1000/432-peak_w.csv rename to SurgeData/432-peak_w.csv diff --git a/SurgeData/N=1000/432-surge_c.csv b/SurgeData/432-surge_c.csv similarity index 100% rename from SurgeData/N=1000/432-surge_c.csv rename to SurgeData/432-surge_c.csv diff --git a/SurgeData/N=1000/432-surge_w.csv b/SurgeData/432-surge_w.csv similarity index 100% rename from SurgeData/N=1000/432-surge_w.csv rename to SurgeData/432-surge_w.csv diff --git a/SurgeData/N=1000/432-time_c.csv b/SurgeData/432-time_c.csv similarity index 100% rename from SurgeData/N=1000/432-time_c.csv rename to SurgeData/432-time_c.csv diff --git a/SurgeData/N=1000/432-time_w.csv b/SurgeData/432-time_w.csv similarity index 100% rename from SurgeData/N=1000/432-time_w.csv rename to SurgeData/432-time_w.csv diff --git a/SurgeData/N=1000/432-waterlevel_c.csv b/SurgeData/432-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/432-waterlevel_c.csv rename to SurgeData/432-waterlevel_c.csv diff --git a/SurgeData/N=1000/432-waterlevel_w.csv b/SurgeData/432-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/432-waterlevel_w.csv rename to SurgeData/432-waterlevel_w.csv diff --git a/SurgeData/N=1000/433-peak+year_c.csv b/SurgeData/433-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/433-peak+year_c.csv rename to SurgeData/433-peak+year_c.csv diff --git a/SurgeData/N=1000/433-peak+year_w.csv b/SurgeData/433-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/433-peak+year_w.csv rename to SurgeData/433-peak+year_w.csv diff --git a/SurgeData/N=1000/433-peak_c.csv b/SurgeData/433-peak_c.csv similarity index 100% rename from SurgeData/N=1000/433-peak_c.csv rename to SurgeData/433-peak_c.csv diff --git a/SurgeData/N=1000/433-peak_w.csv b/SurgeData/433-peak_w.csv similarity index 100% rename from SurgeData/N=1000/433-peak_w.csv rename to SurgeData/433-peak_w.csv diff --git a/SurgeData/N=1000/433-surge_c.csv b/SurgeData/433-surge_c.csv similarity index 100% rename from SurgeData/N=1000/433-surge_c.csv rename to SurgeData/433-surge_c.csv diff --git a/SurgeData/N=1000/433-surge_w.csv b/SurgeData/433-surge_w.csv similarity index 100% rename from SurgeData/N=1000/433-surge_w.csv rename to SurgeData/433-surge_w.csv diff --git a/SurgeData/N=1000/433-time_c.csv b/SurgeData/433-time_c.csv similarity index 100% rename from SurgeData/N=1000/433-time_c.csv rename to SurgeData/433-time_c.csv diff --git a/SurgeData/N=1000/433-time_w.csv b/SurgeData/433-time_w.csv similarity index 100% rename from SurgeData/N=1000/433-time_w.csv rename to SurgeData/433-time_w.csv diff --git a/SurgeData/N=1000/433-waterlevel_c.csv b/SurgeData/433-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/433-waterlevel_c.csv rename to SurgeData/433-waterlevel_c.csv diff --git a/SurgeData/N=1000/433-waterlevel_w.csv b/SurgeData/433-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/433-waterlevel_w.csv rename to SurgeData/433-waterlevel_w.csv diff --git a/SurgeData/434-num_storm.csv b/SurgeData/434-num_storm.csv new file mode 100644 index 00000000..1dc4f555 --- /dev/null +++ b/SurgeData/434-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,1.0,3.0 +2024,3.0,2.0 +2025,1.0,6.0 +2026,1.0,6.0 +2027,2.0,5.0 +2028,0.0,3.0 +2029,1.0,6.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,1.0,2.0 +2033,4.0,3.0 +2034,1.0,7.0 +2035,2.0,6.0 +2036,2.0,3.0 +2037,3.0,6.0 +2038,0.0,3.0 +2039,0.0,3.0 +2040,2.0,4.0 +2041,0.0,3.0 +2042,2.0,3.0 +2043,3.0,8.0 +2044,0.0,7.0 +2045,1.0,5.0 +2046,2.0,4.0 +2047,3.0,3.0 +2048,3.0,1.0 +2049,0.0,3.0 +2050,1.0,2.0 +2051,1.0,7.0 +2052,1.0,3.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,1.0,6.0 +2056,3.0,3.0 +2057,0.0,5.0 +2058,2.0,6.0 +2059,1.0,1.0 +2060,0.0,4.0 +2061,1.0,1.0 +2062,2.0,1.0 +2063,2.0,6.0 +2064,0.0,6.0 +2065,2.0,6.0 +2066,2.0,6.0 +2067,1.0,3.0 +2068,1.0,4.0 +2069,1.0,5.0 +2070,2.0,5.0 +2071,0.0,3.0 +2072,2.0,2.0 +2073,1.0,3.0 +2074,1.0,2.0 +2075,1.0,9.0 +2076,2.0,4.0 +2077,1.0,7.0 +2078,2.0,3.0 +2079,1.0,4.0 +2080,4.0,4.0 +2081,1.0,1.0 +2082,0.0,2.0 +2083,3.0,3.0 +2084,0.0,3.0 +2085,0.0,4.0 +2086,0.0,1.0 +2087,1.0,4.0 +2088,0.0,3.0 +2089,4.0,1.0 +2090,0.0,1.0 +2091,2.0,3.0 +2092,3.0,1.0 +2093,2.0,6.0 +2094,1.0,2.0 +2095,1.0,2.0 +2096,4.0,5.0 +2097,2.0,3.0 +2098,3.0,4.0 +2099,3.0,3.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/434-peak+year_c.csv b/SurgeData/434-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/434-peak+year_c.csv rename to SurgeData/434-peak+year_c.csv diff --git a/SurgeData/N=1000/434-peak+year_w.csv b/SurgeData/434-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/434-peak+year_w.csv rename to SurgeData/434-peak+year_w.csv diff --git a/SurgeData/N=1000/434-peak_c.csv b/SurgeData/434-peak_c.csv similarity index 100% rename from SurgeData/N=1000/434-peak_c.csv rename to SurgeData/434-peak_c.csv diff --git a/SurgeData/N=1000/434-peak_w.csv b/SurgeData/434-peak_w.csv similarity index 100% rename from SurgeData/N=1000/434-peak_w.csv rename to SurgeData/434-peak_w.csv diff --git a/SurgeData/N=1000/434-surge_c.csv b/SurgeData/434-surge_c.csv similarity index 100% rename from SurgeData/N=1000/434-surge_c.csv rename to SurgeData/434-surge_c.csv diff --git a/SurgeData/N=1000/434-surge_w.csv b/SurgeData/434-surge_w.csv similarity index 100% rename from SurgeData/N=1000/434-surge_w.csv rename to SurgeData/434-surge_w.csv diff --git a/SurgeData/N=1000/434-time_c.csv b/SurgeData/434-time_c.csv similarity index 100% rename from SurgeData/N=1000/434-time_c.csv rename to SurgeData/434-time_c.csv diff --git a/SurgeData/N=1000/434-time_w.csv b/SurgeData/434-time_w.csv similarity index 100% rename from SurgeData/N=1000/434-time_w.csv rename to SurgeData/434-time_w.csv diff --git a/SurgeData/N=1000/434-waterlevel_c.csv b/SurgeData/434-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/434-waterlevel_c.csv rename to SurgeData/434-waterlevel_c.csv diff --git a/SurgeData/N=1000/434-waterlevel_w.csv b/SurgeData/434-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/434-waterlevel_w.csv rename to SurgeData/434-waterlevel_w.csv diff --git a/SurgeData/435-num_storm.csv b/SurgeData/435-num_storm.csv new file mode 100644 index 00000000..b854a044 --- /dev/null +++ b/SurgeData/435-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,4.0 +2022,2.0,2.0 +2023,3.0,4.0 +2024,2.0,8.0 +2025,1.0,5.0 +2026,2.0,5.0 +2027,0.0,5.0 +2028,1.0,6.0 +2029,1.0,6.0 +2030,0.0,3.0 +2031,0.0,5.0 +2032,2.0,6.0 +2033,1.0,4.0 +2034,1.0,5.0 +2035,1.0,2.0 +2036,1.0,4.0 +2037,1.0,1.0 +2038,0.0,1.0 +2039,3.0,4.0 +2040,2.0,7.0 +2041,1.0,0.0 +2042,3.0,6.0 +2043,2.0,5.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,0.0,6.0 +2047,1.0,2.0 +2048,1.0,6.0 +2049,2.0,5.0 +2050,2.0,3.0 +2051,0.0,1.0 +2052,2.0,2.0 +2053,1.0,3.0 +2054,5.0,6.0 +2055,1.0,2.0 +2056,1.0,6.0 +2057,2.0,4.0 +2058,0.0,4.0 +2059,2.0,4.0 +2060,0.0,5.0 +2061,2.0,5.0 +2062,1.0,8.0 +2063,5.0,1.0 +2064,0.0,3.0 +2065,0.0,4.0 +2066,2.0,3.0 +2067,3.0,7.0 +2068,0.0,3.0 +2069,0.0,3.0 +2070,1.0,1.0 +2071,0.0,4.0 +2072,0.0,8.0 +2073,1.0,0.0 +2074,0.0,5.0 +2075,1.0,6.0 +2076,0.0,9.0 +2077,2.0,4.0 +2078,1.0,3.0 +2079,4.0,5.0 +2080,0.0,5.0 +2081,0.0,2.0 +2082,1.0,3.0 +2083,1.0,5.0 +2084,0.0,1.0 +2085,2.0,6.0 +2086,1.0,3.0 +2087,2.0,2.0 +2088,1.0,6.0 +2089,0.0,5.0 +2090,1.0,3.0 +2091,1.0,6.0 +2092,1.0,1.0 +2093,0.0,6.0 +2094,2.0,7.0 +2095,3.0,5.0 +2096,2.0,4.0 +2097,0.0,4.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,5.0,3.0 diff --git a/SurgeData/N=1000/435-peak+year_c.csv b/SurgeData/435-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/435-peak+year_c.csv rename to SurgeData/435-peak+year_c.csv diff --git a/SurgeData/N=1000/435-peak+year_w.csv b/SurgeData/435-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/435-peak+year_w.csv rename to SurgeData/435-peak+year_w.csv diff --git a/SurgeData/N=1000/435-peak_c.csv b/SurgeData/435-peak_c.csv similarity index 100% rename from SurgeData/N=1000/435-peak_c.csv rename to SurgeData/435-peak_c.csv diff --git a/SurgeData/N=1000/435-peak_w.csv b/SurgeData/435-peak_w.csv similarity index 100% rename from SurgeData/N=1000/435-peak_w.csv rename to SurgeData/435-peak_w.csv diff --git a/SurgeData/N=1000/435-surge_c.csv b/SurgeData/435-surge_c.csv similarity index 100% rename from SurgeData/N=1000/435-surge_c.csv rename to SurgeData/435-surge_c.csv diff --git a/SurgeData/N=1000/435-surge_w.csv b/SurgeData/435-surge_w.csv similarity index 100% rename from SurgeData/N=1000/435-surge_w.csv rename to SurgeData/435-surge_w.csv diff --git a/SurgeData/N=1000/435-time_c.csv b/SurgeData/435-time_c.csv similarity index 100% rename from SurgeData/N=1000/435-time_c.csv rename to SurgeData/435-time_c.csv diff --git a/SurgeData/N=1000/435-time_w.csv b/SurgeData/435-time_w.csv similarity index 100% rename from SurgeData/N=1000/435-time_w.csv rename to SurgeData/435-time_w.csv diff --git a/SurgeData/N=1000/435-waterlevel_c.csv b/SurgeData/435-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/435-waterlevel_c.csv rename to SurgeData/435-waterlevel_c.csv diff --git a/SurgeData/N=1000/435-waterlevel_w.csv b/SurgeData/435-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/435-waterlevel_w.csv rename to SurgeData/435-waterlevel_w.csv diff --git a/SurgeData/436-num_storm.csv b/SurgeData/436-num_storm.csv new file mode 100644 index 00000000..1f6c8e24 --- /dev/null +++ b/SurgeData/436-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,8.0 +2021,1.0,4.0 +2022,2.0,10.0 +2023,1.0,2.0 +2024,2.0,7.0 +2025,1.0,2.0 +2026,2.0,3.0 +2027,0.0,3.0 +2028,3.0,3.0 +2029,1.0,6.0 +2030,0.0,0.0 +2031,1.0,7.0 +2032,1.0,3.0 +2033,0.0,3.0 +2034,4.0,3.0 +2035,1.0,3.0 +2036,0.0,5.0 +2037,3.0,5.0 +2038,1.0,6.0 +2039,0.0,4.0 +2040,3.0,1.0 +2041,0.0,8.0 +2042,0.0,5.0 +2043,0.0,3.0 +2044,0.0,6.0 +2045,0.0,2.0 +2046,2.0,2.0 +2047,0.0,4.0 +2048,1.0,6.0 +2049,0.0,10.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,1.0,5.0 +2053,0.0,5.0 +2054,4.0,4.0 +2055,0.0,3.0 +2056,2.0,2.0 +2057,1.0,4.0 +2058,1.0,2.0 +2059,1.0,8.0 +2060,0.0,4.0 +2061,1.0,1.0 +2062,1.0,3.0 +2063,1.0,2.0 +2064,2.0,2.0 +2065,0.0,6.0 +2066,0.0,2.0 +2067,1.0,2.0 +2068,0.0,3.0 +2069,1.0,4.0 +2070,3.0,2.0 +2071,0.0,1.0 +2072,1.0,7.0 +2073,2.0,3.0 +2074,0.0,4.0 +2075,1.0,4.0 +2076,2.0,5.0 +2077,0.0,2.0 +2078,1.0,5.0 +2079,5.0,7.0 +2080,0.0,4.0 +2081,2.0,2.0 +2082,3.0,4.0 +2083,1.0,4.0 +2084,2.0,6.0 +2085,4.0,4.0 +2086,2.0,4.0 +2087,1.0,6.0 +2088,2.0,1.0 +2089,2.0,0.0 +2090,5.0,2.0 +2091,2.0,8.0 +2092,0.0,5.0 +2093,1.0,4.0 +2094,1.0,1.0 +2095,1.0,4.0 +2096,2.0,2.0 +2097,0.0,2.0 +2098,1.0,1.0 +2099,2.0,5.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/436-peak+year_c.csv b/SurgeData/436-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/436-peak+year_c.csv rename to SurgeData/436-peak+year_c.csv diff --git a/SurgeData/N=1000/436-peak+year_w.csv b/SurgeData/436-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/436-peak+year_w.csv rename to SurgeData/436-peak+year_w.csv diff --git a/SurgeData/N=1000/436-peak_c.csv b/SurgeData/436-peak_c.csv similarity index 100% rename from SurgeData/N=1000/436-peak_c.csv rename to SurgeData/436-peak_c.csv diff --git a/SurgeData/N=1000/436-peak_w.csv b/SurgeData/436-peak_w.csv similarity index 100% rename from SurgeData/N=1000/436-peak_w.csv rename to SurgeData/436-peak_w.csv diff --git a/SurgeData/N=1000/436-surge_c.csv b/SurgeData/436-surge_c.csv similarity index 100% rename from SurgeData/N=1000/436-surge_c.csv rename to SurgeData/436-surge_c.csv diff --git a/SurgeData/N=1000/436-surge_w.csv b/SurgeData/436-surge_w.csv similarity index 100% rename from SurgeData/N=1000/436-surge_w.csv rename to SurgeData/436-surge_w.csv diff --git a/SurgeData/N=1000/436-time_c.csv b/SurgeData/436-time_c.csv similarity index 100% rename from SurgeData/N=1000/436-time_c.csv rename to SurgeData/436-time_c.csv diff --git a/SurgeData/N=1000/436-time_w.csv b/SurgeData/436-time_w.csv similarity index 100% rename from SurgeData/N=1000/436-time_w.csv rename to SurgeData/436-time_w.csv diff --git a/SurgeData/N=1000/436-waterlevel_c.csv b/SurgeData/436-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/436-waterlevel_c.csv rename to SurgeData/436-waterlevel_c.csv diff --git a/SurgeData/N=1000/436-waterlevel_w.csv b/SurgeData/436-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/436-waterlevel_w.csv rename to SurgeData/436-waterlevel_w.csv diff --git a/SurgeData/N=1000/437-peak+year_c.csv b/SurgeData/437-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/437-peak+year_c.csv rename to SurgeData/437-peak+year_c.csv diff --git a/SurgeData/N=1000/437-peak+year_w.csv b/SurgeData/437-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/437-peak+year_w.csv rename to SurgeData/437-peak+year_w.csv diff --git a/SurgeData/N=1000/437-peak_c.csv b/SurgeData/437-peak_c.csv similarity index 100% rename from SurgeData/N=1000/437-peak_c.csv rename to SurgeData/437-peak_c.csv diff --git a/SurgeData/N=1000/437-peak_w.csv b/SurgeData/437-peak_w.csv similarity index 100% rename from SurgeData/N=1000/437-peak_w.csv rename to SurgeData/437-peak_w.csv diff --git a/SurgeData/N=1000/437-surge_c.csv b/SurgeData/437-surge_c.csv similarity index 100% rename from SurgeData/N=1000/437-surge_c.csv rename to SurgeData/437-surge_c.csv diff --git a/SurgeData/N=1000/437-surge_w.csv b/SurgeData/437-surge_w.csv similarity index 100% rename from SurgeData/N=1000/437-surge_w.csv rename to SurgeData/437-surge_w.csv diff --git a/SurgeData/N=1000/437-time_c.csv b/SurgeData/437-time_c.csv similarity index 100% rename from SurgeData/N=1000/437-time_c.csv rename to SurgeData/437-time_c.csv diff --git a/SurgeData/N=1000/437-time_w.csv b/SurgeData/437-time_w.csv similarity index 100% rename from SurgeData/N=1000/437-time_w.csv rename to SurgeData/437-time_w.csv diff --git a/SurgeData/N=1000/437-waterlevel_c.csv b/SurgeData/437-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/437-waterlevel_c.csv rename to SurgeData/437-waterlevel_c.csv diff --git a/SurgeData/N=1000/437-waterlevel_w.csv b/SurgeData/437-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/437-waterlevel_w.csv rename to SurgeData/437-waterlevel_w.csv diff --git a/SurgeData/N=1000/438-peak+year_c.csv b/SurgeData/438-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/438-peak+year_c.csv rename to SurgeData/438-peak+year_c.csv diff --git a/SurgeData/N=1000/438-peak+year_w.csv b/SurgeData/438-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/438-peak+year_w.csv rename to SurgeData/438-peak+year_w.csv diff --git a/SurgeData/N=1000/438-peak_c.csv b/SurgeData/438-peak_c.csv similarity index 100% rename from SurgeData/N=1000/438-peak_c.csv rename to SurgeData/438-peak_c.csv diff --git a/SurgeData/N=1000/438-peak_w.csv b/SurgeData/438-peak_w.csv similarity index 100% rename from SurgeData/N=1000/438-peak_w.csv rename to SurgeData/438-peak_w.csv diff --git a/SurgeData/N=1000/438-surge_c.csv b/SurgeData/438-surge_c.csv similarity index 100% rename from SurgeData/N=1000/438-surge_c.csv rename to SurgeData/438-surge_c.csv diff --git a/SurgeData/N=1000/438-surge_w.csv b/SurgeData/438-surge_w.csv similarity index 100% rename from SurgeData/N=1000/438-surge_w.csv rename to SurgeData/438-surge_w.csv diff --git a/SurgeData/N=1000/438-time_c.csv b/SurgeData/438-time_c.csv similarity index 100% rename from SurgeData/N=1000/438-time_c.csv rename to SurgeData/438-time_c.csv diff --git a/SurgeData/N=1000/438-time_w.csv b/SurgeData/438-time_w.csv similarity index 100% rename from SurgeData/N=1000/438-time_w.csv rename to SurgeData/438-time_w.csv diff --git a/SurgeData/N=1000/438-waterlevel_c.csv b/SurgeData/438-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/438-waterlevel_c.csv rename to SurgeData/438-waterlevel_c.csv diff --git a/SurgeData/N=1000/438-waterlevel_w.csv b/SurgeData/438-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/438-waterlevel_w.csv rename to SurgeData/438-waterlevel_w.csv diff --git a/SurgeData/439-num_storm.csv b/SurgeData/439-num_storm.csv new file mode 100644 index 00000000..ca865a11 --- /dev/null +++ b/SurgeData/439-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,5.0 +2022,1.0,2.0 +2023,3.0,5.0 +2024,0.0,1.0 +2025,1.0,3.0 +2026,0.0,7.0 +2027,2.0,0.0 +2028,1.0,3.0 +2029,2.0,2.0 +2030,2.0,6.0 +2031,0.0,2.0 +2032,2.0,0.0 +2033,1.0,6.0 +2034,0.0,3.0 +2035,1.0,1.0 +2036,1.0,7.0 +2037,0.0,5.0 +2038,1.0,4.0 +2039,4.0,2.0 +2040,1.0,2.0 +2041,1.0,6.0 +2042,0.0,5.0 +2043,3.0,4.0 +2044,1.0,7.0 +2045,1.0,5.0 +2046,3.0,7.0 +2047,3.0,4.0 +2048,2.0,2.0 +2049,1.0,7.0 +2050,0.0,5.0 +2051,0.0,5.0 +2052,0.0,4.0 +2053,2.0,5.0 +2054,1.0,6.0 +2055,3.0,0.0 +2056,1.0,4.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,2.0,1.0 +2060,3.0,9.0 +2061,1.0,1.0 +2062,2.0,7.0 +2063,1.0,6.0 +2064,3.0,4.0 +2065,3.0,4.0 +2066,1.0,5.0 +2067,0.0,5.0 +2068,2.0,3.0 +2069,0.0,4.0 +2070,1.0,5.0 +2071,0.0,5.0 +2072,0.0,5.0 +2073,3.0,8.0 +2074,2.0,2.0 +2075,1.0,1.0 +2076,1.0,3.0 +2077,7.0,3.0 +2078,2.0,8.0 +2079,1.0,2.0 +2080,1.0,6.0 +2081,1.0,7.0 +2082,1.0,2.0 +2083,1.0,4.0 +2084,0.0,1.0 +2085,1.0,2.0 +2086,2.0,3.0 +2087,1.0,4.0 +2088,1.0,1.0 +2089,0.0,1.0 +2090,3.0,7.0 +2091,3.0,5.0 +2092,1.0,5.0 +2093,3.0,4.0 +2094,1.0,1.0 +2095,3.0,3.0 +2096,0.0,5.0 +2097,1.0,6.0 +2098,3.0,4.0 +2099,2.0,2.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/439-peak+year_c.csv b/SurgeData/439-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/439-peak+year_c.csv rename to SurgeData/439-peak+year_c.csv diff --git a/SurgeData/N=1000/439-peak+year_w.csv b/SurgeData/439-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/439-peak+year_w.csv rename to SurgeData/439-peak+year_w.csv diff --git a/SurgeData/N=1000/439-peak_c.csv b/SurgeData/439-peak_c.csv similarity index 100% rename from SurgeData/N=1000/439-peak_c.csv rename to SurgeData/439-peak_c.csv diff --git a/SurgeData/N=1000/439-peak_w.csv b/SurgeData/439-peak_w.csv similarity index 100% rename from SurgeData/N=1000/439-peak_w.csv rename to SurgeData/439-peak_w.csv diff --git a/SurgeData/N=1000/439-surge_c.csv b/SurgeData/439-surge_c.csv similarity index 100% rename from SurgeData/N=1000/439-surge_c.csv rename to SurgeData/439-surge_c.csv diff --git a/SurgeData/N=1000/439-surge_w.csv b/SurgeData/439-surge_w.csv similarity index 100% rename from SurgeData/N=1000/439-surge_w.csv rename to SurgeData/439-surge_w.csv diff --git a/SurgeData/N=1000/439-time_c.csv b/SurgeData/439-time_c.csv similarity index 100% rename from SurgeData/N=1000/439-time_c.csv rename to SurgeData/439-time_c.csv diff --git a/SurgeData/N=1000/439-time_w.csv b/SurgeData/439-time_w.csv similarity index 100% rename from SurgeData/N=1000/439-time_w.csv rename to SurgeData/439-time_w.csv diff --git a/SurgeData/N=1000/439-waterlevel_c.csv b/SurgeData/439-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/439-waterlevel_c.csv rename to SurgeData/439-waterlevel_c.csv diff --git a/SurgeData/N=1000/439-waterlevel_w.csv b/SurgeData/439-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/439-waterlevel_w.csv rename to SurgeData/439-waterlevel_w.csv diff --git a/SurgeData/44-num_storm.csv b/SurgeData/44-num_storm.csv new file mode 100644 index 00000000..6aae4375 --- /dev/null +++ b/SurgeData/44-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,4.0,3.0 +2022,1.0,3.0 +2023,0.0,3.0 +2024,1.0,3.0 +2025,3.0,4.0 +2026,2.0,2.0 +2027,3.0,1.0 +2028,2.0,3.0 +2029,2.0,3.0 +2030,0.0,2.0 +2031,2.0,6.0 +2032,1.0,4.0 +2033,0.0,2.0 +2034,1.0,5.0 +2035,0.0,5.0 +2036,3.0,5.0 +2037,1.0,5.0 +2038,1.0,5.0 +2039,2.0,7.0 +2040,4.0,10.0 +2041,3.0,7.0 +2042,2.0,4.0 +2043,0.0,4.0 +2044,0.0,5.0 +2045,1.0,1.0 +2046,4.0,5.0 +2047,1.0,2.0 +2048,1.0,1.0 +2049,1.0,7.0 +2050,1.0,9.0 +2051,2.0,3.0 +2052,2.0,6.0 +2053,1.0,3.0 +2054,0.0,6.0 +2055,1.0,4.0 +2056,1.0,6.0 +2057,1.0,7.0 +2058,0.0,4.0 +2059,2.0,4.0 +2060,1.0,5.0 +2061,3.0,3.0 +2062,2.0,4.0 +2063,1.0,6.0 +2064,1.0,4.0 +2065,1.0,3.0 +2066,1.0,5.0 +2067,1.0,3.0 +2068,7.0,3.0 +2069,2.0,2.0 +2070,1.0,5.0 +2071,2.0,9.0 +2072,0.0,3.0 +2073,2.0,5.0 +2074,2.0,6.0 +2075,3.0,3.0 +2076,2.0,5.0 +2077,3.0,6.0 +2078,1.0,4.0 +2079,2.0,1.0 +2080,2.0,2.0 +2081,1.0,6.0 +2082,2.0,7.0 +2083,1.0,6.0 +2084,0.0,4.0 +2085,1.0,6.0 +2086,1.0,3.0 +2087,4.0,1.0 +2088,2.0,5.0 +2089,2.0,4.0 +2090,2.0,3.0 +2091,1.0,6.0 +2092,1.0,2.0 +2093,1.0,5.0 +2094,2.0,4.0 +2095,3.0,3.0 +2096,0.0,3.0 +2097,2.0,3.0 +2098,0.0,1.0 +2099,1.0,8.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/44-peak+year_c.csv b/SurgeData/44-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/44-peak+year_c.csv rename to SurgeData/44-peak+year_c.csv diff --git a/SurgeData/N=1000/44-peak+year_w.csv b/SurgeData/44-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/44-peak+year_w.csv rename to SurgeData/44-peak+year_w.csv diff --git a/SurgeData/N=1000/44-peak_c.csv b/SurgeData/44-peak_c.csv similarity index 100% rename from SurgeData/N=1000/44-peak_c.csv rename to SurgeData/44-peak_c.csv diff --git a/SurgeData/N=1000/44-peak_w.csv b/SurgeData/44-peak_w.csv similarity index 100% rename from SurgeData/N=1000/44-peak_w.csv rename to SurgeData/44-peak_w.csv diff --git a/SurgeData/N=1000/44-surge_c.csv b/SurgeData/44-surge_c.csv similarity index 100% rename from SurgeData/N=1000/44-surge_c.csv rename to SurgeData/44-surge_c.csv diff --git a/SurgeData/N=1000/44-surge_w.csv b/SurgeData/44-surge_w.csv similarity index 100% rename from SurgeData/N=1000/44-surge_w.csv rename to SurgeData/44-surge_w.csv diff --git a/SurgeData/N=1000/44-time_c.csv b/SurgeData/44-time_c.csv similarity index 100% rename from SurgeData/N=1000/44-time_c.csv rename to SurgeData/44-time_c.csv diff --git a/SurgeData/N=1000/44-time_w.csv b/SurgeData/44-time_w.csv similarity index 100% rename from SurgeData/N=1000/44-time_w.csv rename to SurgeData/44-time_w.csv diff --git a/SurgeData/N=1000/44-waterlevel_c.csv b/SurgeData/44-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/44-waterlevel_c.csv rename to SurgeData/44-waterlevel_c.csv diff --git a/SurgeData/N=1000/44-waterlevel_w.csv b/SurgeData/44-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/44-waterlevel_w.csv rename to SurgeData/44-waterlevel_w.csv diff --git a/SurgeData/440-num_storm.csv b/SurgeData/440-num_storm.csv new file mode 100644 index 00000000..9cbbba8c --- /dev/null +++ b/SurgeData/440-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,6.0 +2022,0.0,4.0 +2023,2.0,2.0 +2024,1.0,1.0 +2025,3.0,2.0 +2026,3.0,3.0 +2027,0.0,6.0 +2028,2.0,2.0 +2029,1.0,4.0 +2030,2.0,6.0 +2031,3.0,4.0 +2032,0.0,5.0 +2033,1.0,1.0 +2034,0.0,5.0 +2035,0.0,3.0 +2036,2.0,3.0 +2037,0.0,3.0 +2038,1.0,3.0 +2039,3.0,3.0 +2040,4.0,1.0 +2041,1.0,6.0 +2042,1.0,5.0 +2043,2.0,3.0 +2044,2.0,5.0 +2045,1.0,3.0 +2046,2.0,2.0 +2047,2.0,7.0 +2048,0.0,0.0 +2049,2.0,3.0 +2050,1.0,4.0 +2051,4.0,6.0 +2052,1.0,6.0 +2053,0.0,3.0 +2054,2.0,4.0 +2055,3.0,4.0 +2056,3.0,3.0 +2057,0.0,3.0 +2058,1.0,3.0 +2059,4.0,3.0 +2060,3.0,10.0 +2061,2.0,3.0 +2062,1.0,4.0 +2063,1.0,8.0 +2064,3.0,9.0 +2065,1.0,4.0 +2066,7.0,3.0 +2067,0.0,3.0 +2068,0.0,2.0 +2069,3.0,5.0 +2070,1.0,3.0 +2071,0.0,4.0 +2072,2.0,5.0 +2073,0.0,5.0 +2074,0.0,5.0 +2075,1.0,4.0 +2076,1.0,6.0 +2077,0.0,5.0 +2078,2.0,2.0 +2079,0.0,3.0 +2080,1.0,4.0 +2081,2.0,6.0 +2082,2.0,2.0 +2083,1.0,1.0 +2084,2.0,3.0 +2085,2.0,2.0 +2086,1.0,3.0 +2087,3.0,5.0 +2088,2.0,7.0 +2089,2.0,4.0 +2090,4.0,4.0 +2091,1.0,1.0 +2092,2.0,3.0 +2093,1.0,7.0 +2094,2.0,1.0 +2095,0.0,6.0 +2096,2.0,6.0 +2097,0.0,6.0 +2098,0.0,5.0 +2099,4.0,9.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/440-peak+year_c.csv b/SurgeData/440-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/440-peak+year_c.csv rename to SurgeData/440-peak+year_c.csv diff --git a/SurgeData/N=1000/440-peak+year_w.csv b/SurgeData/440-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/440-peak+year_w.csv rename to SurgeData/440-peak+year_w.csv diff --git a/SurgeData/N=1000/440-peak_c.csv b/SurgeData/440-peak_c.csv similarity index 100% rename from SurgeData/N=1000/440-peak_c.csv rename to SurgeData/440-peak_c.csv diff --git a/SurgeData/N=1000/440-peak_w.csv b/SurgeData/440-peak_w.csv similarity index 100% rename from SurgeData/N=1000/440-peak_w.csv rename to SurgeData/440-peak_w.csv diff --git a/SurgeData/N=1000/440-surge_c.csv b/SurgeData/440-surge_c.csv similarity index 100% rename from SurgeData/N=1000/440-surge_c.csv rename to SurgeData/440-surge_c.csv diff --git a/SurgeData/N=1000/440-surge_w.csv b/SurgeData/440-surge_w.csv similarity index 100% rename from SurgeData/N=1000/440-surge_w.csv rename to SurgeData/440-surge_w.csv diff --git a/SurgeData/N=1000/440-time_c.csv b/SurgeData/440-time_c.csv similarity index 100% rename from SurgeData/N=1000/440-time_c.csv rename to SurgeData/440-time_c.csv diff --git a/SurgeData/N=1000/440-time_w.csv b/SurgeData/440-time_w.csv similarity index 100% rename from SurgeData/N=1000/440-time_w.csv rename to SurgeData/440-time_w.csv diff --git a/SurgeData/N=1000/440-waterlevel_c.csv b/SurgeData/440-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/440-waterlevel_c.csv rename to SurgeData/440-waterlevel_c.csv diff --git a/SurgeData/N=1000/440-waterlevel_w.csv b/SurgeData/440-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/440-waterlevel_w.csv rename to SurgeData/440-waterlevel_w.csv diff --git a/SurgeData/441-num_storm.csv b/SurgeData/441-num_storm.csv new file mode 100644 index 00000000..7e30ea8c --- /dev/null +++ b/SurgeData/441-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,2.0,4.0 +2022,0.0,2.0 +2023,2.0,4.0 +2024,2.0,3.0 +2025,3.0,4.0 +2026,4.0,7.0 +2027,2.0,7.0 +2028,3.0,2.0 +2029,2.0,2.0 +2030,3.0,2.0 +2031,0.0,5.0 +2032,0.0,6.0 +2033,1.0,2.0 +2034,2.0,8.0 +2035,0.0,7.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,1.0,3.0 +2039,0.0,3.0 +2040,2.0,5.0 +2041,0.0,7.0 +2042,0.0,3.0 +2043,3.0,6.0 +2044,1.0,3.0 +2045,3.0,9.0 +2046,2.0,3.0 +2047,0.0,3.0 +2048,1.0,5.0 +2049,4.0,8.0 +2050,2.0,2.0 +2051,4.0,3.0 +2052,2.0,2.0 +2053,0.0,5.0 +2054,2.0,6.0 +2055,0.0,5.0 +2056,1.0,2.0 +2057,3.0,1.0 +2058,2.0,7.0 +2059,2.0,6.0 +2060,3.0,4.0 +2061,0.0,4.0 +2062,0.0,5.0 +2063,0.0,5.0 +2064,0.0,2.0 +2065,1.0,8.0 +2066,2.0,6.0 +2067,3.0,6.0 +2068,0.0,3.0 +2069,1.0,4.0 +2070,3.0,8.0 +2071,0.0,4.0 +2072,3.0,0.0 +2073,3.0,3.0 +2074,0.0,3.0 +2075,3.0,8.0 +2076,1.0,3.0 +2077,0.0,3.0 +2078,4.0,7.0 +2079,2.0,3.0 +2080,2.0,4.0 +2081,4.0,3.0 +2082,2.0,4.0 +2083,2.0,5.0 +2084,0.0,5.0 +2085,1.0,5.0 +2086,3.0,2.0 +2087,1.0,3.0 +2088,1.0,4.0 +2089,0.0,2.0 +2090,1.0,4.0 +2091,0.0,1.0 +2092,2.0,5.0 +2093,1.0,2.0 +2094,2.0,7.0 +2095,1.0,3.0 +2096,1.0,4.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,3.0,4.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/441-peak+year_c.csv b/SurgeData/441-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/441-peak+year_c.csv rename to SurgeData/441-peak+year_c.csv diff --git a/SurgeData/N=1000/441-peak+year_w.csv b/SurgeData/441-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/441-peak+year_w.csv rename to SurgeData/441-peak+year_w.csv diff --git a/SurgeData/N=1000/441-peak_c.csv b/SurgeData/441-peak_c.csv similarity index 100% rename from SurgeData/N=1000/441-peak_c.csv rename to SurgeData/441-peak_c.csv diff --git a/SurgeData/N=1000/441-peak_w.csv b/SurgeData/441-peak_w.csv similarity index 100% rename from SurgeData/N=1000/441-peak_w.csv rename to SurgeData/441-peak_w.csv diff --git a/SurgeData/N=1000/441-surge_c.csv b/SurgeData/441-surge_c.csv similarity index 100% rename from SurgeData/N=1000/441-surge_c.csv rename to SurgeData/441-surge_c.csv diff --git a/SurgeData/N=1000/441-surge_w.csv b/SurgeData/441-surge_w.csv similarity index 100% rename from SurgeData/N=1000/441-surge_w.csv rename to SurgeData/441-surge_w.csv diff --git a/SurgeData/N=1000/441-time_c.csv b/SurgeData/441-time_c.csv similarity index 100% rename from SurgeData/N=1000/441-time_c.csv rename to SurgeData/441-time_c.csv diff --git a/SurgeData/N=1000/441-time_w.csv b/SurgeData/441-time_w.csv similarity index 100% rename from SurgeData/N=1000/441-time_w.csv rename to SurgeData/441-time_w.csv diff --git a/SurgeData/N=1000/441-waterlevel_c.csv b/SurgeData/441-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/441-waterlevel_c.csv rename to SurgeData/441-waterlevel_c.csv diff --git a/SurgeData/N=1000/441-waterlevel_w.csv b/SurgeData/441-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/441-waterlevel_w.csv rename to SurgeData/441-waterlevel_w.csv diff --git a/SurgeData/442-num_storm.csv b/SurgeData/442-num_storm.csv new file mode 100644 index 00000000..ce733c1a --- /dev/null +++ b/SurgeData/442-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,1.0,2.0 +2022,0.0,2.0 +2023,2.0,5.0 +2024,1.0,7.0 +2025,0.0,5.0 +2026,0.0,2.0 +2027,3.0,7.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,0.0,4.0 +2031,3.0,1.0 +2032,2.0,4.0 +2033,0.0,6.0 +2034,2.0,3.0 +2035,0.0,2.0 +2036,1.0,5.0 +2037,3.0,1.0 +2038,1.0,1.0 +2039,1.0,3.0 +2040,0.0,7.0 +2041,3.0,3.0 +2042,2.0,4.0 +2043,4.0,2.0 +2044,0.0,6.0 +2045,1.0,6.0 +2046,2.0,9.0 +2047,1.0,1.0 +2048,2.0,1.0 +2049,0.0,3.0 +2050,1.0,7.0 +2051,2.0,3.0 +2052,1.0,1.0 +2053,1.0,5.0 +2054,2.0,7.0 +2055,0.0,7.0 +2056,2.0,4.0 +2057,2.0,3.0 +2058,0.0,5.0 +2059,1.0,3.0 +2060,1.0,3.0 +2061,1.0,3.0 +2062,1.0,3.0 +2063,2.0,5.0 +2064,5.0,3.0 +2065,3.0,2.0 +2066,1.0,8.0 +2067,2.0,4.0 +2068,3.0,3.0 +2069,1.0,5.0 +2070,2.0,4.0 +2071,2.0,5.0 +2072,4.0,0.0 +2073,0.0,2.0 +2074,2.0,2.0 +2075,1.0,4.0 +2076,1.0,0.0 +2077,2.0,0.0 +2078,0.0,4.0 +2079,3.0,4.0 +2080,0.0,4.0 +2081,1.0,4.0 +2082,2.0,1.0 +2083,1.0,4.0 +2084,0.0,1.0 +2085,2.0,2.0 +2086,2.0,6.0 +2087,2.0,8.0 +2088,1.0,2.0 +2089,1.0,1.0 +2090,2.0,4.0 +2091,1.0,4.0 +2092,4.0,5.0 +2093,1.0,5.0 +2094,1.0,2.0 +2095,1.0,5.0 +2096,0.0,4.0 +2097,1.0,2.0 +2098,1.0,6.0 +2099,1.0,6.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/442-peak+year_c.csv b/SurgeData/442-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/442-peak+year_c.csv rename to SurgeData/442-peak+year_c.csv diff --git a/SurgeData/N=1000/442-peak+year_w.csv b/SurgeData/442-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/442-peak+year_w.csv rename to SurgeData/442-peak+year_w.csv diff --git a/SurgeData/N=1000/442-peak_c.csv b/SurgeData/442-peak_c.csv similarity index 100% rename from SurgeData/N=1000/442-peak_c.csv rename to SurgeData/442-peak_c.csv diff --git a/SurgeData/N=1000/442-peak_w.csv b/SurgeData/442-peak_w.csv similarity index 100% rename from SurgeData/N=1000/442-peak_w.csv rename to SurgeData/442-peak_w.csv diff --git a/SurgeData/N=1000/442-surge_c.csv b/SurgeData/442-surge_c.csv similarity index 100% rename from SurgeData/N=1000/442-surge_c.csv rename to SurgeData/442-surge_c.csv diff --git a/SurgeData/N=1000/442-surge_w.csv b/SurgeData/442-surge_w.csv similarity index 100% rename from SurgeData/N=1000/442-surge_w.csv rename to SurgeData/442-surge_w.csv diff --git a/SurgeData/N=1000/442-time_c.csv b/SurgeData/442-time_c.csv similarity index 100% rename from SurgeData/N=1000/442-time_c.csv rename to SurgeData/442-time_c.csv diff --git a/SurgeData/N=1000/442-time_w.csv b/SurgeData/442-time_w.csv similarity index 100% rename from SurgeData/N=1000/442-time_w.csv rename to SurgeData/442-time_w.csv diff --git a/SurgeData/N=1000/442-waterlevel_c.csv b/SurgeData/442-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/442-waterlevel_c.csv rename to SurgeData/442-waterlevel_c.csv diff --git a/SurgeData/N=1000/442-waterlevel_w.csv b/SurgeData/442-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/442-waterlevel_w.csv rename to SurgeData/442-waterlevel_w.csv diff --git a/SurgeData/443-num_storm.csv b/SurgeData/443-num_storm.csv new file mode 100644 index 00000000..08b10cf4 --- /dev/null +++ b/SurgeData/443-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,9.0 +2022,1.0,0.0 +2023,1.0,5.0 +2024,0.0,6.0 +2025,1.0,7.0 +2026,1.0,2.0 +2027,1.0,7.0 +2028,4.0,8.0 +2029,2.0,2.0 +2030,1.0,2.0 +2031,1.0,9.0 +2032,0.0,6.0 +2033,1.0,6.0 +2034,1.0,3.0 +2035,0.0,2.0 +2036,2.0,5.0 +2037,3.0,9.0 +2038,4.0,6.0 +2039,0.0,2.0 +2040,1.0,3.0 +2041,2.0,5.0 +2042,0.0,3.0 +2043,0.0,6.0 +2044,1.0,6.0 +2045,1.0,3.0 +2046,4.0,2.0 +2047,1.0,3.0 +2048,2.0,1.0 +2049,1.0,1.0 +2050,0.0,2.0 +2051,2.0,3.0 +2052,2.0,5.0 +2053,0.0,2.0 +2054,2.0,8.0 +2055,0.0,2.0 +2056,2.0,5.0 +2057,0.0,3.0 +2058,0.0,10.0 +2059,1.0,2.0 +2060,1.0,3.0 +2061,0.0,6.0 +2062,0.0,1.0 +2063,1.0,4.0 +2064,0.0,1.0 +2065,4.0,7.0 +2066,0.0,2.0 +2067,0.0,5.0 +2068,0.0,8.0 +2069,2.0,8.0 +2070,1.0,2.0 +2071,3.0,4.0 +2072,2.0,7.0 +2073,1.0,4.0 +2074,1.0,3.0 +2075,1.0,7.0 +2076,3.0,4.0 +2077,0.0,6.0 +2078,1.0,7.0 +2079,2.0,6.0 +2080,1.0,6.0 +2081,2.0,3.0 +2082,2.0,1.0 +2083,3.0,0.0 +2084,2.0,8.0 +2085,2.0,3.0 +2086,0.0,4.0 +2087,0.0,6.0 +2088,3.0,5.0 +2089,1.0,7.0 +2090,2.0,5.0 +2091,3.0,4.0 +2092,2.0,1.0 +2093,3.0,4.0 +2094,1.0,2.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,2.0,3.0 +2098,2.0,5.0 +2099,1.0,5.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/443-peak+year_c.csv b/SurgeData/443-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/443-peak+year_c.csv rename to SurgeData/443-peak+year_c.csv diff --git a/SurgeData/N=1000/443-peak+year_w.csv b/SurgeData/443-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/443-peak+year_w.csv rename to SurgeData/443-peak+year_w.csv diff --git a/SurgeData/N=1000/443-peak_c.csv b/SurgeData/443-peak_c.csv similarity index 100% rename from SurgeData/N=1000/443-peak_c.csv rename to SurgeData/443-peak_c.csv diff --git a/SurgeData/N=1000/443-peak_w.csv b/SurgeData/443-peak_w.csv similarity index 100% rename from SurgeData/N=1000/443-peak_w.csv rename to SurgeData/443-peak_w.csv diff --git a/SurgeData/N=1000/443-surge_c.csv b/SurgeData/443-surge_c.csv similarity index 100% rename from SurgeData/N=1000/443-surge_c.csv rename to SurgeData/443-surge_c.csv diff --git a/SurgeData/N=1000/443-surge_w.csv b/SurgeData/443-surge_w.csv similarity index 100% rename from SurgeData/N=1000/443-surge_w.csv rename to SurgeData/443-surge_w.csv diff --git a/SurgeData/N=1000/443-time_c.csv b/SurgeData/443-time_c.csv similarity index 100% rename from SurgeData/N=1000/443-time_c.csv rename to SurgeData/443-time_c.csv diff --git a/SurgeData/N=1000/443-time_w.csv b/SurgeData/443-time_w.csv similarity index 100% rename from SurgeData/N=1000/443-time_w.csv rename to SurgeData/443-time_w.csv diff --git a/SurgeData/N=1000/443-waterlevel_c.csv b/SurgeData/443-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/443-waterlevel_c.csv rename to SurgeData/443-waterlevel_c.csv diff --git a/SurgeData/N=1000/443-waterlevel_w.csv b/SurgeData/443-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/443-waterlevel_w.csv rename to SurgeData/443-waterlevel_w.csv diff --git a/SurgeData/444-num_storm.csv b/SurgeData/444-num_storm.csv new file mode 100644 index 00000000..963fccdb --- /dev/null +++ b/SurgeData/444-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,1.0,4.0 +2022,0.0,3.0 +2023,0.0,4.0 +2024,2.0,3.0 +2025,1.0,6.0 +2026,4.0,2.0 +2027,0.0,1.0 +2028,2.0,6.0 +2029,2.0,8.0 +2030,1.0,7.0 +2031,3.0,6.0 +2032,3.0,7.0 +2033,3.0,4.0 +2034,0.0,5.0 +2035,0.0,4.0 +2036,1.0,3.0 +2037,2.0,1.0 +2038,4.0,4.0 +2039,1.0,9.0 +2040,1.0,1.0 +2041,1.0,2.0 +2042,0.0,1.0 +2043,3.0,9.0 +2044,2.0,4.0 +2045,2.0,6.0 +2046,2.0,3.0 +2047,4.0,6.0 +2048,1.0,1.0 +2049,1.0,3.0 +2050,2.0,2.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,1.0,6.0 +2054,2.0,0.0 +2055,4.0,7.0 +2056,1.0,5.0 +2057,4.0,3.0 +2058,1.0,4.0 +2059,2.0,4.0 +2060,1.0,1.0 +2061,5.0,3.0 +2062,2.0,4.0 +2063,2.0,3.0 +2064,2.0,1.0 +2065,0.0,2.0 +2066,1.0,4.0 +2067,1.0,5.0 +2068,1.0,5.0 +2069,3.0,5.0 +2070,2.0,3.0 +2071,2.0,6.0 +2072,2.0,4.0 +2073,1.0,2.0 +2074,2.0,2.0 +2075,2.0,8.0 +2076,0.0,3.0 +2077,3.0,3.0 +2078,2.0,6.0 +2079,2.0,3.0 +2080,4.0,7.0 +2081,1.0,3.0 +2082,4.0,2.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,2.0,5.0 +2086,0.0,5.0 +2087,1.0,4.0 +2088,0.0,5.0 +2089,1.0,6.0 +2090,1.0,3.0 +2091,1.0,7.0 +2092,0.0,3.0 +2093,3.0,6.0 +2094,1.0,6.0 +2095,0.0,6.0 +2096,2.0,3.0 +2097,0.0,0.0 +2098,1.0,3.0 +2099,2.0,7.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/444-peak+year_c.csv b/SurgeData/444-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/444-peak+year_c.csv rename to SurgeData/444-peak+year_c.csv diff --git a/SurgeData/N=1000/444-peak+year_w.csv b/SurgeData/444-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/444-peak+year_w.csv rename to SurgeData/444-peak+year_w.csv diff --git a/SurgeData/N=1000/444-peak_c.csv b/SurgeData/444-peak_c.csv similarity index 100% rename from SurgeData/N=1000/444-peak_c.csv rename to SurgeData/444-peak_c.csv diff --git a/SurgeData/N=1000/444-peak_w.csv b/SurgeData/444-peak_w.csv similarity index 100% rename from SurgeData/N=1000/444-peak_w.csv rename to SurgeData/444-peak_w.csv diff --git a/SurgeData/N=1000/444-surge_c.csv b/SurgeData/444-surge_c.csv similarity index 100% rename from SurgeData/N=1000/444-surge_c.csv rename to SurgeData/444-surge_c.csv diff --git a/SurgeData/N=1000/444-surge_w.csv b/SurgeData/444-surge_w.csv similarity index 100% rename from SurgeData/N=1000/444-surge_w.csv rename to SurgeData/444-surge_w.csv diff --git a/SurgeData/N=1000/444-time_c.csv b/SurgeData/444-time_c.csv similarity index 100% rename from SurgeData/N=1000/444-time_c.csv rename to SurgeData/444-time_c.csv diff --git a/SurgeData/N=1000/444-time_w.csv b/SurgeData/444-time_w.csv similarity index 100% rename from SurgeData/N=1000/444-time_w.csv rename to SurgeData/444-time_w.csv diff --git a/SurgeData/N=1000/444-waterlevel_c.csv b/SurgeData/444-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/444-waterlevel_c.csv rename to SurgeData/444-waterlevel_c.csv diff --git a/SurgeData/N=1000/444-waterlevel_w.csv b/SurgeData/444-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/444-waterlevel_w.csv rename to SurgeData/444-waterlevel_w.csv diff --git a/SurgeData/N=1000/445-peak+year_c.csv b/SurgeData/445-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/445-peak+year_c.csv rename to SurgeData/445-peak+year_c.csv diff --git a/SurgeData/N=1000/445-peak+year_w.csv b/SurgeData/445-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/445-peak+year_w.csv rename to SurgeData/445-peak+year_w.csv diff --git a/SurgeData/N=1000/445-peak_c.csv b/SurgeData/445-peak_c.csv similarity index 100% rename from SurgeData/N=1000/445-peak_c.csv rename to SurgeData/445-peak_c.csv diff --git a/SurgeData/N=1000/445-peak_w.csv b/SurgeData/445-peak_w.csv similarity index 100% rename from SurgeData/N=1000/445-peak_w.csv rename to SurgeData/445-peak_w.csv diff --git a/SurgeData/N=1000/445-surge_c.csv b/SurgeData/445-surge_c.csv similarity index 100% rename from SurgeData/N=1000/445-surge_c.csv rename to SurgeData/445-surge_c.csv diff --git a/SurgeData/N=1000/445-surge_w.csv b/SurgeData/445-surge_w.csv similarity index 100% rename from SurgeData/N=1000/445-surge_w.csv rename to SurgeData/445-surge_w.csv diff --git a/SurgeData/N=1000/445-time_c.csv b/SurgeData/445-time_c.csv similarity index 100% rename from SurgeData/N=1000/445-time_c.csv rename to SurgeData/445-time_c.csv diff --git a/SurgeData/N=1000/445-time_w.csv b/SurgeData/445-time_w.csv similarity index 100% rename from SurgeData/N=1000/445-time_w.csv rename to SurgeData/445-time_w.csv diff --git a/SurgeData/N=1000/445-waterlevel_c.csv b/SurgeData/445-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/445-waterlevel_c.csv rename to SurgeData/445-waterlevel_c.csv diff --git a/SurgeData/N=1000/445-waterlevel_w.csv b/SurgeData/445-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/445-waterlevel_w.csv rename to SurgeData/445-waterlevel_w.csv diff --git a/SurgeData/446-num_storm.csv b/SurgeData/446-num_storm.csv new file mode 100644 index 00000000..2368296b --- /dev/null +++ b/SurgeData/446-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,2.0,3.0 +2022,0.0,2.0 +2023,2.0,2.0 +2024,0.0,3.0 +2025,1.0,4.0 +2026,2.0,1.0 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+2098,0.0,6.0 +2099,1.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/446-peak+year_c.csv b/SurgeData/446-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/446-peak+year_c.csv rename to SurgeData/446-peak+year_c.csv diff --git a/SurgeData/N=1000/446-peak+year_w.csv b/SurgeData/446-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/446-peak+year_w.csv rename to SurgeData/446-peak+year_w.csv diff --git a/SurgeData/N=1000/446-peak_c.csv b/SurgeData/446-peak_c.csv similarity index 100% rename from SurgeData/N=1000/446-peak_c.csv rename to SurgeData/446-peak_c.csv diff --git a/SurgeData/N=1000/446-peak_w.csv b/SurgeData/446-peak_w.csv similarity index 100% rename from SurgeData/N=1000/446-peak_w.csv rename to SurgeData/446-peak_w.csv diff --git a/SurgeData/N=1000/446-surge_c.csv b/SurgeData/446-surge_c.csv similarity index 100% rename from SurgeData/N=1000/446-surge_c.csv rename to SurgeData/446-surge_c.csv diff --git a/SurgeData/N=1000/446-surge_w.csv b/SurgeData/446-surge_w.csv similarity index 100% rename from SurgeData/N=1000/446-surge_w.csv rename to SurgeData/446-surge_w.csv diff --git a/SurgeData/N=1000/446-time_c.csv b/SurgeData/446-time_c.csv similarity index 100% rename from SurgeData/N=1000/446-time_c.csv rename to SurgeData/446-time_c.csv diff --git a/SurgeData/N=1000/446-time_w.csv b/SurgeData/446-time_w.csv similarity index 100% rename from SurgeData/N=1000/446-time_w.csv rename to SurgeData/446-time_w.csv diff --git a/SurgeData/N=1000/446-waterlevel_c.csv b/SurgeData/446-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/446-waterlevel_c.csv rename to SurgeData/446-waterlevel_c.csv diff --git a/SurgeData/N=1000/446-waterlevel_w.csv b/SurgeData/446-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/446-waterlevel_w.csv rename to SurgeData/446-waterlevel_w.csv diff --git a/SurgeData/447-num_storm.csv b/SurgeData/447-num_storm.csv new file mode 100644 index 00000000..16d12f8e --- /dev/null +++ b/SurgeData/447-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,3.0,3.0 +2022,1.0,4.0 +2023,1.0,4.0 +2024,2.0,6.0 +2025,2.0,2.0 +2026,3.0,6.0 +2027,0.0,0.0 +2028,0.0,7.0 +2029,0.0,4.0 +2030,4.0,4.0 +2031,2.0,2.0 +2032,2.0,9.0 +2033,2.0,4.0 +2034,3.0,1.0 +2035,1.0,4.0 +2036,2.0,1.0 +2037,0.0,7.0 +2038,4.0,4.0 +2039,0.0,5.0 +2040,0.0,1.0 +2041,0.0,5.0 +2042,1.0,3.0 +2043,1.0,5.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,2.0,2.0 +2047,0.0,1.0 +2048,1.0,3.0 +2049,1.0,4.0 +2050,2.0,5.0 +2051,1.0,4.0 +2052,3.0,3.0 +2053,0.0,2.0 +2054,1.0,8.0 +2055,2.0,8.0 +2056,1.0,4.0 +2057,1.0,4.0 +2058,0.0,5.0 +2059,0.0,3.0 +2060,4.0,3.0 +2061,1.0,6.0 +2062,0.0,3.0 +2063,1.0,5.0 +2064,0.0,3.0 +2065,1.0,3.0 +2066,3.0,0.0 +2067,2.0,4.0 +2068,1.0,3.0 +2069,0.0,4.0 +2070,4.0,1.0 +2071,0.0,7.0 +2072,2.0,5.0 +2073,0.0,2.0 +2074,1.0,4.0 +2075,2.0,1.0 +2076,0.0,4.0 +2077,1.0,6.0 +2078,2.0,1.0 +2079,1.0,5.0 +2080,1.0,5.0 +2081,3.0,3.0 +2082,2.0,6.0 +2083,0.0,9.0 +2084,2.0,2.0 +2085,3.0,6.0 +2086,1.0,4.0 +2087,2.0,4.0 +2088,2.0,3.0 +2089,0.0,2.0 +2090,4.0,3.0 +2091,1.0,2.0 +2092,1.0,2.0 +2093,1.0,6.0 +2094,3.0,1.0 +2095,2.0,1.0 +2096,0.0,4.0 +2097,3.0,4.0 +2098,3.0,2.0 +2099,1.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/447-peak+year_c.csv b/SurgeData/447-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/447-peak+year_c.csv rename to SurgeData/447-peak+year_c.csv diff --git a/SurgeData/N=1000/447-peak+year_w.csv b/SurgeData/447-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/447-peak+year_w.csv rename to SurgeData/447-peak+year_w.csv diff --git a/SurgeData/N=1000/447-peak_c.csv b/SurgeData/447-peak_c.csv similarity index 100% rename from SurgeData/N=1000/447-peak_c.csv rename to SurgeData/447-peak_c.csv diff --git a/SurgeData/N=1000/447-peak_w.csv b/SurgeData/447-peak_w.csv similarity index 100% rename from SurgeData/N=1000/447-peak_w.csv rename to SurgeData/447-peak_w.csv diff --git a/SurgeData/N=1000/447-surge_c.csv b/SurgeData/447-surge_c.csv similarity index 100% rename from SurgeData/N=1000/447-surge_c.csv rename to SurgeData/447-surge_c.csv diff --git a/SurgeData/N=1000/447-surge_w.csv b/SurgeData/447-surge_w.csv similarity index 100% rename from SurgeData/N=1000/447-surge_w.csv rename to SurgeData/447-surge_w.csv diff --git a/SurgeData/N=1000/447-time_c.csv b/SurgeData/447-time_c.csv similarity index 100% rename from SurgeData/N=1000/447-time_c.csv rename to SurgeData/447-time_c.csv diff --git a/SurgeData/N=1000/447-time_w.csv b/SurgeData/447-time_w.csv similarity index 100% rename from SurgeData/N=1000/447-time_w.csv rename to SurgeData/447-time_w.csv diff --git a/SurgeData/N=1000/447-waterlevel_c.csv b/SurgeData/447-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/447-waterlevel_c.csv rename to SurgeData/447-waterlevel_c.csv diff --git a/SurgeData/N=1000/447-waterlevel_w.csv b/SurgeData/447-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/447-waterlevel_w.csv rename to SurgeData/447-waterlevel_w.csv diff --git a/SurgeData/N=1000/448-peak+year_c.csv b/SurgeData/448-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/448-peak+year_c.csv rename to SurgeData/448-peak+year_c.csv diff --git a/SurgeData/N=1000/448-peak+year_w.csv b/SurgeData/448-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/448-peak+year_w.csv rename to SurgeData/448-peak+year_w.csv diff --git a/SurgeData/N=1000/448-peak_c.csv b/SurgeData/448-peak_c.csv similarity index 100% rename from SurgeData/N=1000/448-peak_c.csv rename to SurgeData/448-peak_c.csv diff --git a/SurgeData/N=1000/448-peak_w.csv b/SurgeData/448-peak_w.csv similarity index 100% rename from SurgeData/N=1000/448-peak_w.csv rename to SurgeData/448-peak_w.csv diff --git a/SurgeData/N=1000/448-surge_c.csv b/SurgeData/448-surge_c.csv similarity index 100% rename from SurgeData/N=1000/448-surge_c.csv rename to SurgeData/448-surge_c.csv diff --git a/SurgeData/N=1000/448-surge_w.csv b/SurgeData/448-surge_w.csv similarity index 100% rename from SurgeData/N=1000/448-surge_w.csv rename to SurgeData/448-surge_w.csv diff --git a/SurgeData/N=1000/448-time_c.csv b/SurgeData/448-time_c.csv similarity index 100% rename from SurgeData/N=1000/448-time_c.csv rename to SurgeData/448-time_c.csv diff --git a/SurgeData/N=1000/448-time_w.csv b/SurgeData/448-time_w.csv similarity index 100% rename from SurgeData/N=1000/448-time_w.csv rename to SurgeData/448-time_w.csv diff --git a/SurgeData/N=1000/448-waterlevel_c.csv b/SurgeData/448-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/448-waterlevel_c.csv rename to SurgeData/448-waterlevel_c.csv diff --git a/SurgeData/N=1000/448-waterlevel_w.csv b/SurgeData/448-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/448-waterlevel_w.csv rename to SurgeData/448-waterlevel_w.csv diff --git a/SurgeData/N=1000/449-peak+year_c.csv b/SurgeData/449-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/449-peak+year_c.csv rename to SurgeData/449-peak+year_c.csv diff --git a/SurgeData/N=1000/449-peak+year_w.csv b/SurgeData/449-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/449-peak+year_w.csv rename to SurgeData/449-peak+year_w.csv diff --git a/SurgeData/N=1000/449-peak_c.csv b/SurgeData/449-peak_c.csv similarity index 100% rename from SurgeData/N=1000/449-peak_c.csv rename to SurgeData/449-peak_c.csv diff --git a/SurgeData/N=1000/449-peak_w.csv b/SurgeData/449-peak_w.csv similarity index 100% rename from SurgeData/N=1000/449-peak_w.csv rename to SurgeData/449-peak_w.csv diff --git a/SurgeData/N=1000/449-surge_c.csv b/SurgeData/449-surge_c.csv similarity index 100% rename from SurgeData/N=1000/449-surge_c.csv rename to SurgeData/449-surge_c.csv diff --git a/SurgeData/N=1000/449-surge_w.csv b/SurgeData/449-surge_w.csv similarity index 100% rename from SurgeData/N=1000/449-surge_w.csv rename to SurgeData/449-surge_w.csv diff --git a/SurgeData/N=1000/449-time_c.csv b/SurgeData/449-time_c.csv similarity index 100% rename from SurgeData/N=1000/449-time_c.csv rename to SurgeData/449-time_c.csv diff --git a/SurgeData/N=1000/449-time_w.csv b/SurgeData/449-time_w.csv similarity index 100% rename from SurgeData/N=1000/449-time_w.csv rename to SurgeData/449-time_w.csv diff --git a/SurgeData/N=1000/449-waterlevel_c.csv b/SurgeData/449-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/449-waterlevel_c.csv rename to SurgeData/449-waterlevel_c.csv diff --git a/SurgeData/N=1000/449-waterlevel_w.csv b/SurgeData/449-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/449-waterlevel_w.csv rename to SurgeData/449-waterlevel_w.csv diff --git a/SurgeData/45-num_storm.csv b/SurgeData/45-num_storm.csv new file mode 100644 index 00000000..3cdf47b4 --- /dev/null +++ b/SurgeData/45-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,8.0 +2021,2.0,2.0 +2022,2.0,3.0 +2023,1.0,2.0 +2024,0.0,8.0 +2025,1.0,7.0 +2026,1.0,5.0 +2027,1.0,6.0 +2028,0.0,2.0 +2029,5.0,6.0 +2030,0.0,3.0 +2031,1.0,3.0 +2032,2.0,6.0 +2033,0.0,5.0 +2034,0.0,3.0 +2035,0.0,5.0 +2036,4.0,4.0 +2037,2.0,2.0 +2038,1.0,3.0 +2039,0.0,5.0 +2040,0.0,1.0 +2041,2.0,7.0 +2042,4.0,2.0 +2043,2.0,4.0 +2044,3.0,3.0 +2045,1.0,2.0 +2046,1.0,10.0 +2047,0.0,1.0 +2048,2.0,3.0 +2049,1.0,3.0 +2050,1.0,5.0 +2051,2.0,5.0 +2052,0.0,3.0 +2053,3.0,2.0 +2054,3.0,6.0 +2055,0.0,4.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,3.0,2.0 +2059,1.0,9.0 +2060,1.0,4.0 +2061,0.0,4.0 +2062,2.0,8.0 +2063,0.0,5.0 +2064,2.0,4.0 +2065,4.0,3.0 +2066,1.0,4.0 +2067,2.0,8.0 +2068,1.0,3.0 +2069,0.0,6.0 +2070,3.0,9.0 +2071,3.0,5.0 +2072,2.0,2.0 +2073,1.0,3.0 +2074,2.0,3.0 +2075,2.0,2.0 +2076,1.0,3.0 +2077,4.0,9.0 +2078,1.0,2.0 +2079,0.0,3.0 +2080,1.0,5.0 +2081,1.0,10.0 +2082,2.0,3.0 +2083,3.0,2.0 +2084,1.0,3.0 +2085,3.0,2.0 +2086,2.0,1.0 +2087,5.0,5.0 +2088,3.0,3.0 +2089,3.0,4.0 +2090,0.0,7.0 +2091,0.0,3.0 +2092,0.0,3.0 +2093,3.0,4.0 +2094,0.0,5.0 +2095,1.0,5.0 +2096,1.0,5.0 +2097,3.0,4.0 +2098,1.0,2.0 +2099,1.0,6.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/45-peak+year_c.csv b/SurgeData/45-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/45-peak+year_c.csv rename to SurgeData/45-peak+year_c.csv diff --git a/SurgeData/N=1000/45-peak+year_w.csv b/SurgeData/45-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/45-peak+year_w.csv rename to SurgeData/45-peak+year_w.csv diff --git a/SurgeData/N=1000/45-peak_c.csv b/SurgeData/45-peak_c.csv similarity index 100% rename from SurgeData/N=1000/45-peak_c.csv rename to SurgeData/45-peak_c.csv diff --git a/SurgeData/N=1000/45-peak_w.csv b/SurgeData/45-peak_w.csv similarity index 100% rename from SurgeData/N=1000/45-peak_w.csv rename to SurgeData/45-peak_w.csv diff --git a/SurgeData/N=1000/45-surge_c.csv b/SurgeData/45-surge_c.csv similarity index 100% rename from SurgeData/N=1000/45-surge_c.csv rename to SurgeData/45-surge_c.csv diff --git a/SurgeData/N=1000/45-surge_w.csv b/SurgeData/45-surge_w.csv similarity index 100% rename from SurgeData/N=1000/45-surge_w.csv rename to SurgeData/45-surge_w.csv diff --git a/SurgeData/N=1000/45-time_c.csv b/SurgeData/45-time_c.csv similarity index 100% rename from SurgeData/N=1000/45-time_c.csv rename to SurgeData/45-time_c.csv diff --git a/SurgeData/N=1000/45-time_w.csv b/SurgeData/45-time_w.csv similarity index 100% rename from SurgeData/N=1000/45-time_w.csv rename to SurgeData/45-time_w.csv diff --git a/SurgeData/N=1000/45-waterlevel_c.csv b/SurgeData/45-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/45-waterlevel_c.csv rename to SurgeData/45-waterlevel_c.csv diff --git a/SurgeData/N=1000/45-waterlevel_w.csv b/SurgeData/45-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/45-waterlevel_w.csv rename to SurgeData/45-waterlevel_w.csv diff --git a/SurgeData/450-num_storm.csv b/SurgeData/450-num_storm.csv new file mode 100644 index 00000000..d6a15efa --- /dev/null +++ b/SurgeData/450-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,2.0,7.0 +2022,0.0,4.0 +2023,0.0,5.0 +2024,0.0,2.0 +2025,3.0,4.0 +2026,4.0,1.0 +2027,3.0,4.0 +2028,0.0,5.0 +2029,0.0,5.0 +2030,2.0,4.0 +2031,2.0,4.0 +2032,2.0,2.0 +2033,1.0,8.0 +2034,1.0,7.0 +2035,3.0,7.0 +2036,2.0,4.0 +2037,3.0,3.0 +2038,1.0,6.0 +2039,1.0,5.0 +2040,5.0,3.0 +2041,2.0,5.0 +2042,1.0,3.0 +2043,3.0,2.0 +2044,0.0,9.0 +2045,0.0,2.0 +2046,0.0,3.0 +2047,1.0,8.0 +2048,2.0,1.0 +2049,1.0,8.0 +2050,1.0,2.0 +2051,1.0,6.0 +2052,1.0,8.0 +2053,0.0,6.0 +2054,0.0,0.0 +2055,0.0,2.0 +2056,1.0,2.0 +2057,4.0,6.0 +2058,0.0,1.0 +2059,4.0,4.0 +2060,1.0,1.0 +2061,3.0,6.0 +2062,2.0,4.0 +2063,0.0,5.0 +2064,3.0,2.0 +2065,3.0,2.0 +2066,0.0,3.0 +2067,2.0,4.0 +2068,5.0,7.0 +2069,1.0,4.0 +2070,1.0,3.0 +2071,0.0,5.0 +2072,1.0,6.0 +2073,3.0,1.0 +2074,0.0,6.0 +2075,0.0,4.0 +2076,0.0,4.0 +2077,2.0,4.0 +2078,0.0,0.0 +2079,1.0,5.0 +2080,2.0,2.0 +2081,1.0,3.0 +2082,1.0,1.0 +2083,2.0,5.0 +2084,2.0,4.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,2.0,5.0 +2088,0.0,5.0 +2089,3.0,9.0 +2090,4.0,5.0 +2091,3.0,6.0 +2092,2.0,7.0 +2093,1.0,4.0 +2094,0.0,3.0 +2095,1.0,2.0 +2096,2.0,6.0 +2097,0.0,1.0 +2098,0.0,5.0 +2099,3.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/450-peak+year_c.csv b/SurgeData/450-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/450-peak+year_c.csv rename to SurgeData/450-peak+year_c.csv diff --git a/SurgeData/N=1000/450-peak+year_w.csv b/SurgeData/450-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/450-peak+year_w.csv rename to SurgeData/450-peak+year_w.csv diff --git a/SurgeData/N=1000/450-peak_c.csv b/SurgeData/450-peak_c.csv similarity index 100% rename from SurgeData/N=1000/450-peak_c.csv rename to SurgeData/450-peak_c.csv diff --git a/SurgeData/N=1000/450-peak_w.csv b/SurgeData/450-peak_w.csv similarity index 100% rename from SurgeData/N=1000/450-peak_w.csv rename to SurgeData/450-peak_w.csv diff --git a/SurgeData/N=1000/450-surge_c.csv b/SurgeData/450-surge_c.csv similarity index 100% rename from SurgeData/N=1000/450-surge_c.csv rename to SurgeData/450-surge_c.csv diff --git a/SurgeData/N=1000/450-surge_w.csv b/SurgeData/450-surge_w.csv similarity index 100% rename from SurgeData/N=1000/450-surge_w.csv rename to SurgeData/450-surge_w.csv diff --git a/SurgeData/N=1000/450-time_c.csv b/SurgeData/450-time_c.csv similarity index 100% rename from SurgeData/N=1000/450-time_c.csv rename to SurgeData/450-time_c.csv diff --git a/SurgeData/N=1000/450-time_w.csv b/SurgeData/450-time_w.csv similarity index 100% rename from SurgeData/N=1000/450-time_w.csv rename to SurgeData/450-time_w.csv diff --git a/SurgeData/N=1000/450-waterlevel_c.csv b/SurgeData/450-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/450-waterlevel_c.csv rename to SurgeData/450-waterlevel_c.csv diff --git a/SurgeData/N=1000/450-waterlevel_w.csv b/SurgeData/450-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/450-waterlevel_w.csv rename to SurgeData/450-waterlevel_w.csv diff --git a/SurgeData/451-num_storm.csv b/SurgeData/451-num_storm.csv new file mode 100644 index 00000000..cd46b2a9 --- /dev/null +++ b/SurgeData/451-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,2.0 +2022,1.0,6.0 +2023,1.0,7.0 +2024,1.0,5.0 +2025,0.0,5.0 +2026,3.0,2.0 +2027,0.0,1.0 +2028,2.0,4.0 +2029,2.0,1.0 +2030,0.0,3.0 +2031,1.0,6.0 +2032,2.0,0.0 +2033,2.0,6.0 +2034,2.0,7.0 +2035,2.0,6.0 +2036,1.0,4.0 +2037,3.0,6.0 +2038,4.0,0.0 +2039,2.0,3.0 +2040,0.0,5.0 +2041,2.0,1.0 +2042,2.0,5.0 +2043,1.0,3.0 +2044,0.0,5.0 +2045,4.0,3.0 +2046,2.0,4.0 +2047,0.0,4.0 +2048,1.0,4.0 +2049,1.0,8.0 +2050,4.0,4.0 +2051,0.0,2.0 +2052,2.0,5.0 +2053,2.0,6.0 +2054,0.0,4.0 +2055,2.0,6.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,1.0,4.0 +2059,0.0,3.0 +2060,0.0,4.0 +2061,0.0,3.0 +2062,3.0,7.0 +2063,2.0,2.0 +2064,2.0,4.0 +2065,2.0,5.0 +2066,0.0,6.0 +2067,3.0,4.0 +2068,0.0,7.0 +2069,1.0,5.0 +2070,2.0,1.0 +2071,1.0,6.0 +2072,1.0,1.0 +2073,2.0,4.0 +2074,2.0,4.0 +2075,0.0,10.0 +2076,1.0,1.0 +2077,1.0,2.0 +2078,1.0,2.0 +2079,3.0,4.0 +2080,2.0,5.0 +2081,3.0,4.0 +2082,1.0,4.0 +2083,1.0,8.0 +2084,1.0,3.0 +2085,3.0,5.0 +2086,0.0,5.0 +2087,1.0,6.0 +2088,1.0,3.0 +2089,0.0,5.0 +2090,0.0,2.0 +2091,3.0,7.0 +2092,2.0,4.0 +2093,0.0,1.0 +2094,4.0,5.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,2.0,6.0 +2098,0.0,6.0 +2099,2.0,0.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/451-peak+year_c.csv b/SurgeData/451-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/451-peak+year_c.csv rename to SurgeData/451-peak+year_c.csv diff --git a/SurgeData/N=1000/451-peak+year_w.csv b/SurgeData/451-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/451-peak+year_w.csv rename to SurgeData/451-peak+year_w.csv diff --git a/SurgeData/N=1000/451-peak_c.csv b/SurgeData/451-peak_c.csv similarity index 100% rename from SurgeData/N=1000/451-peak_c.csv rename to SurgeData/451-peak_c.csv diff --git a/SurgeData/N=1000/451-peak_w.csv b/SurgeData/451-peak_w.csv similarity index 100% rename from SurgeData/N=1000/451-peak_w.csv rename to SurgeData/451-peak_w.csv diff --git a/SurgeData/N=1000/451-surge_c.csv b/SurgeData/451-surge_c.csv similarity index 100% rename from SurgeData/N=1000/451-surge_c.csv rename to SurgeData/451-surge_c.csv diff --git a/SurgeData/N=1000/451-surge_w.csv b/SurgeData/451-surge_w.csv similarity index 100% rename from SurgeData/N=1000/451-surge_w.csv rename to SurgeData/451-surge_w.csv diff --git a/SurgeData/N=1000/451-time_c.csv b/SurgeData/451-time_c.csv similarity index 100% rename from SurgeData/N=1000/451-time_c.csv rename to SurgeData/451-time_c.csv diff --git a/SurgeData/N=1000/451-time_w.csv b/SurgeData/451-time_w.csv similarity index 100% rename from SurgeData/N=1000/451-time_w.csv rename to SurgeData/451-time_w.csv diff --git a/SurgeData/N=1000/451-waterlevel_c.csv b/SurgeData/451-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/451-waterlevel_c.csv rename to SurgeData/451-waterlevel_c.csv diff --git a/SurgeData/N=1000/451-waterlevel_w.csv b/SurgeData/451-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/451-waterlevel_w.csv rename to SurgeData/451-waterlevel_w.csv diff --git a/SurgeData/452-num_storm.csv b/SurgeData/452-num_storm.csv new file mode 100644 index 00000000..06d2d266 --- /dev/null +++ b/SurgeData/452-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,0.0,6.0 +2022,1.0,7.0 +2023,1.0,1.0 +2024,2.0,3.0 +2025,1.0,8.0 +2026,4.0,5.0 +2027,4.0,4.0 +2028,1.0,3.0 +2029,3.0,5.0 +2030,4.0,5.0 +2031,0.0,4.0 +2032,4.0,5.0 +2033,1.0,5.0 +2034,4.0,3.0 +2035,1.0,3.0 +2036,0.0,3.0 +2037,3.0,5.0 +2038,2.0,11.0 +2039,2.0,3.0 +2040,1.0,3.0 +2041,1.0,5.0 +2042,1.0,3.0 +2043,0.0,3.0 +2044,2.0,4.0 +2045,0.0,4.0 +2046,1.0,3.0 +2047,2.0,5.0 +2048,1.0,2.0 +2049,2.0,4.0 +2050,2.0,6.0 +2051,2.0,3.0 +2052,4.0,5.0 +2053,0.0,5.0 +2054,5.0,5.0 +2055,0.0,8.0 +2056,1.0,3.0 +2057,0.0,4.0 +2058,1.0,6.0 +2059,1.0,3.0 +2060,0.0,7.0 +2061,3.0,3.0 +2062,2.0,5.0 +2063,1.0,1.0 +2064,1.0,6.0 +2065,1.0,3.0 +2066,1.0,5.0 +2067,2.0,3.0 +2068,1.0,7.0 +2069,2.0,5.0 +2070,0.0,11.0 +2071,1.0,4.0 +2072,2.0,2.0 +2073,0.0,3.0 +2074,0.0,4.0 +2075,1.0,5.0 +2076,1.0,0.0 +2077,2.0,4.0 +2078,3.0,2.0 +2079,1.0,4.0 +2080,3.0,6.0 +2081,0.0,3.0 +2082,0.0,1.0 +2083,0.0,9.0 +2084,2.0,6.0 +2085,1.0,5.0 +2086,0.0,6.0 +2087,3.0,4.0 +2088,1.0,0.0 +2089,2.0,4.0 +2090,1.0,3.0 +2091,2.0,5.0 +2092,2.0,4.0 +2093,4.0,0.0 +2094,0.0,4.0 +2095,4.0,5.0 +2096,4.0,5.0 +2097,1.0,4.0 +2098,4.0,5.0 +2099,1.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/452-peak+year_c.csv b/SurgeData/452-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/452-peak+year_c.csv rename to SurgeData/452-peak+year_c.csv diff --git a/SurgeData/N=1000/452-peak+year_w.csv b/SurgeData/452-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/452-peak+year_w.csv rename to SurgeData/452-peak+year_w.csv diff --git a/SurgeData/N=1000/452-peak_c.csv b/SurgeData/452-peak_c.csv similarity index 100% rename from SurgeData/N=1000/452-peak_c.csv rename to SurgeData/452-peak_c.csv diff --git a/SurgeData/N=1000/452-peak_w.csv b/SurgeData/452-peak_w.csv similarity index 100% rename from SurgeData/N=1000/452-peak_w.csv rename to SurgeData/452-peak_w.csv diff --git a/SurgeData/N=1000/452-surge_c.csv b/SurgeData/452-surge_c.csv similarity index 100% rename from SurgeData/N=1000/452-surge_c.csv rename to SurgeData/452-surge_c.csv diff --git a/SurgeData/N=1000/452-surge_w.csv b/SurgeData/452-surge_w.csv similarity index 100% rename from SurgeData/N=1000/452-surge_w.csv rename to SurgeData/452-surge_w.csv diff --git a/SurgeData/N=1000/452-time_c.csv b/SurgeData/452-time_c.csv similarity index 100% rename from SurgeData/N=1000/452-time_c.csv rename to SurgeData/452-time_c.csv diff --git a/SurgeData/N=1000/452-time_w.csv b/SurgeData/452-time_w.csv similarity index 100% rename from SurgeData/N=1000/452-time_w.csv rename to SurgeData/452-time_w.csv diff --git a/SurgeData/N=1000/452-waterlevel_c.csv b/SurgeData/452-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/452-waterlevel_c.csv rename to SurgeData/452-waterlevel_c.csv diff --git a/SurgeData/N=1000/452-waterlevel_w.csv b/SurgeData/452-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/452-waterlevel_w.csv rename to SurgeData/452-waterlevel_w.csv diff --git a/SurgeData/453-num_storm.csv b/SurgeData/453-num_storm.csv new file mode 100644 index 00000000..e03a4cd5 --- /dev/null +++ b/SurgeData/453-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,11.0 +2022,1.0,3.0 +2023,3.0,2.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,3.0,5.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,3.0,4.0 +2030,1.0,2.0 +2031,1.0,6.0 +2032,2.0,3.0 +2033,1.0,3.0 +2034,1.0,7.0 +2035,0.0,6.0 +2036,1.0,3.0 +2037,0.0,7.0 +2038,1.0,1.0 +2039,2.0,5.0 +2040,3.0,2.0 +2041,1.0,2.0 +2042,2.0,8.0 +2043,0.0,5.0 +2044,2.0,5.0 +2045,1.0,8.0 +2046,2.0,3.0 +2047,0.0,3.0 +2048,1.0,3.0 +2049,1.0,9.0 +2050,1.0,4.0 +2051,3.0,3.0 +2052,4.0,4.0 +2053,2.0,3.0 +2054,2.0,4.0 +2055,1.0,4.0 +2056,2.0,7.0 +2057,3.0,5.0 +2058,1.0,3.0 +2059,2.0,1.0 +2060,4.0,3.0 +2061,1.0,8.0 +2062,2.0,6.0 +2063,0.0,0.0 +2064,0.0,5.0 +2065,4.0,7.0 +2066,0.0,3.0 +2067,1.0,2.0 +2068,1.0,6.0 +2069,0.0,2.0 +2070,2.0,0.0 +2071,0.0,3.0 +2072,2.0,6.0 +2073,3.0,3.0 +2074,0.0,14.0 +2075,3.0,1.0 +2076,1.0,4.0 +2077,1.0,1.0 +2078,3.0,6.0 +2079,2.0,6.0 +2080,1.0,5.0 +2081,1.0,0.0 +2082,2.0,2.0 +2083,1.0,3.0 +2084,0.0,4.0 +2085,3.0,2.0 +2086,1.0,4.0 +2087,0.0,5.0 +2088,0.0,2.0 +2089,0.0,6.0 +2090,1.0,4.0 +2091,1.0,7.0 +2092,0.0,2.0 +2093,0.0,5.0 +2094,2.0,7.0 +2095,0.0,9.0 +2096,3.0,6.0 +2097,2.0,8.0 +2098,2.0,3.0 +2099,1.0,3.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/453-peak+year_c.csv b/SurgeData/453-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/453-peak+year_c.csv rename to SurgeData/453-peak+year_c.csv diff --git a/SurgeData/N=1000/453-peak+year_w.csv b/SurgeData/453-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/453-peak+year_w.csv rename to SurgeData/453-peak+year_w.csv diff --git a/SurgeData/N=1000/453-peak_c.csv b/SurgeData/453-peak_c.csv similarity index 100% rename from SurgeData/N=1000/453-peak_c.csv rename to SurgeData/453-peak_c.csv diff --git a/SurgeData/N=1000/453-peak_w.csv b/SurgeData/453-peak_w.csv similarity index 100% rename from SurgeData/N=1000/453-peak_w.csv rename to SurgeData/453-peak_w.csv diff --git a/SurgeData/N=1000/453-surge_c.csv b/SurgeData/453-surge_c.csv similarity index 100% rename from SurgeData/N=1000/453-surge_c.csv rename to SurgeData/453-surge_c.csv diff --git a/SurgeData/N=1000/453-surge_w.csv b/SurgeData/453-surge_w.csv similarity index 100% rename from SurgeData/N=1000/453-surge_w.csv rename to SurgeData/453-surge_w.csv diff --git a/SurgeData/N=1000/453-time_c.csv b/SurgeData/453-time_c.csv similarity index 100% rename from SurgeData/N=1000/453-time_c.csv rename to SurgeData/453-time_c.csv diff --git a/SurgeData/N=1000/453-time_w.csv b/SurgeData/453-time_w.csv similarity index 100% rename from SurgeData/N=1000/453-time_w.csv rename to SurgeData/453-time_w.csv diff --git a/SurgeData/N=1000/453-waterlevel_c.csv b/SurgeData/453-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/453-waterlevel_c.csv rename to SurgeData/453-waterlevel_c.csv diff --git a/SurgeData/N=1000/453-waterlevel_w.csv b/SurgeData/453-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/453-waterlevel_w.csv rename to SurgeData/453-waterlevel_w.csv diff --git a/SurgeData/454-num_storm.csv b/SurgeData/454-num_storm.csv new file mode 100644 index 00000000..1042898d --- /dev/null +++ b/SurgeData/454-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,3.0,4.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,2.0,7.0 +2025,2.0,2.0 +2026,2.0,0.0 +2027,0.0,4.0 +2028,3.0,5.0 +2029,0.0,6.0 +2030,1.0,4.0 +2031,2.0,1.0 +2032,0.0,3.0 +2033,1.0,1.0 +2034,3.0,4.0 +2035,1.0,7.0 +2036,1.0,3.0 +2037,2.0,2.0 +2038,2.0,1.0 +2039,1.0,10.0 +2040,2.0,5.0 +2041,2.0,8.0 +2042,2.0,5.0 +2043,3.0,3.0 +2044,2.0,5.0 +2045,1.0,2.0 +2046,4.0,5.0 +2047,1.0,4.0 +2048,1.0,2.0 +2049,0.0,3.0 +2050,1.0,6.0 +2051,1.0,3.0 +2052,1.0,2.0 +2053,0.0,3.0 +2054,0.0,2.0 +2055,2.0,4.0 +2056,2.0,3.0 +2057,2.0,8.0 +2058,3.0,2.0 +2059,1.0,4.0 +2060,3.0,1.0 +2061,2.0,1.0 +2062,0.0,7.0 +2063,0.0,5.0 +2064,2.0,7.0 +2065,0.0,5.0 +2066,4.0,1.0 +2067,3.0,4.0 +2068,0.0,5.0 +2069,4.0,1.0 +2070,1.0,1.0 +2071,1.0,3.0 +2072,0.0,7.0 +2073,3.0,6.0 +2074,1.0,4.0 +2075,2.0,1.0 +2076,1.0,5.0 +2077,1.0,5.0 +2078,1.0,6.0 +2079,3.0,5.0 +2080,2.0,7.0 +2081,3.0,6.0 +2082,1.0,5.0 +2083,0.0,4.0 +2084,1.0,6.0 +2085,1.0,4.0 +2086,2.0,5.0 +2087,2.0,4.0 +2088,1.0,3.0 +2089,4.0,4.0 +2090,0.0,3.0 +2091,0.0,2.0 +2092,0.0,3.0 +2093,1.0,4.0 +2094,2.0,4.0 +2095,2.0,3.0 +2096,1.0,4.0 +2097,1.0,8.0 +2098,2.0,5.0 +2099,2.0,1.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/454-peak+year_c.csv b/SurgeData/454-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/454-peak+year_c.csv rename to SurgeData/454-peak+year_c.csv diff --git a/SurgeData/N=1000/454-peak+year_w.csv b/SurgeData/454-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/454-peak+year_w.csv rename to SurgeData/454-peak+year_w.csv diff --git a/SurgeData/N=1000/454-peak_c.csv b/SurgeData/454-peak_c.csv similarity index 100% rename from SurgeData/N=1000/454-peak_c.csv rename to SurgeData/454-peak_c.csv diff --git a/SurgeData/N=1000/454-peak_w.csv b/SurgeData/454-peak_w.csv similarity index 100% rename from SurgeData/N=1000/454-peak_w.csv rename to SurgeData/454-peak_w.csv diff --git a/SurgeData/N=1000/454-surge_c.csv b/SurgeData/454-surge_c.csv similarity index 100% rename from SurgeData/N=1000/454-surge_c.csv rename to SurgeData/454-surge_c.csv diff --git a/SurgeData/N=1000/454-surge_w.csv b/SurgeData/454-surge_w.csv similarity index 100% rename from SurgeData/N=1000/454-surge_w.csv rename to SurgeData/454-surge_w.csv diff --git a/SurgeData/N=1000/454-time_c.csv b/SurgeData/454-time_c.csv similarity index 100% rename from SurgeData/N=1000/454-time_c.csv rename to SurgeData/454-time_c.csv diff --git a/SurgeData/N=1000/454-time_w.csv b/SurgeData/454-time_w.csv similarity index 100% rename from SurgeData/N=1000/454-time_w.csv rename to SurgeData/454-time_w.csv diff --git a/SurgeData/N=1000/454-waterlevel_c.csv b/SurgeData/454-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/454-waterlevel_c.csv rename to SurgeData/454-waterlevel_c.csv diff --git a/SurgeData/N=1000/454-waterlevel_w.csv b/SurgeData/454-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/454-waterlevel_w.csv rename to SurgeData/454-waterlevel_w.csv diff --git a/SurgeData/455-num_storm.csv b/SurgeData/455-num_storm.csv new file mode 100644 index 00000000..22481264 --- /dev/null +++ b/SurgeData/455-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,5.0 +2022,2.0,5.0 +2023,2.0,3.0 +2024,1.0,2.0 +2025,2.0,0.0 +2026,3.0,2.0 +2027,1.0,2.0 +2028,1.0,1.0 +2029,0.0,2.0 +2030,2.0,6.0 +2031,1.0,1.0 +2032,0.0,3.0 +2033,1.0,3.0 +2034,2.0,3.0 +2035,4.0,1.0 +2036,2.0,3.0 +2037,1.0,5.0 +2038,1.0,3.0 +2039,2.0,4.0 +2040,3.0,6.0 +2041,3.0,4.0 +2042,2.0,2.0 +2043,3.0,6.0 +2044,1.0,10.0 +2045,0.0,4.0 +2046,1.0,3.0 +2047,1.0,1.0 +2048,2.0,2.0 +2049,3.0,4.0 +2050,1.0,4.0 +2051,2.0,4.0 +2052,1.0,0.0 +2053,0.0,3.0 +2054,1.0,6.0 +2055,1.0,4.0 +2056,0.0,1.0 +2057,3.0,1.0 +2058,2.0,8.0 +2059,1.0,6.0 +2060,6.0,6.0 +2061,3.0,10.0 +2062,0.0,5.0 +2063,0.0,8.0 +2064,2.0,1.0 +2065,3.0,5.0 +2066,4.0,3.0 +2067,0.0,6.0 +2068,2.0,4.0 +2069,1.0,7.0 +2070,1.0,6.0 +2071,2.0,3.0 +2072,2.0,3.0 +2073,1.0,5.0 +2074,4.0,4.0 +2075,3.0,4.0 +2076,4.0,6.0 +2077,2.0,4.0 +2078,3.0,2.0 +2079,1.0,2.0 +2080,1.0,2.0 +2081,0.0,4.0 +2082,1.0,2.0 +2083,1.0,4.0 +2084,2.0,1.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,5.0,7.0 +2088,2.0,4.0 +2089,2.0,7.0 +2090,1.0,3.0 +2091,3.0,3.0 +2092,1.0,1.0 +2093,2.0,3.0 +2094,0.0,2.0 +2095,0.0,3.0 +2096,3.0,5.0 +2097,1.0,8.0 +2098,3.0,1.0 +2099,3.0,2.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/455-peak+year_c.csv b/SurgeData/455-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/455-peak+year_c.csv rename to SurgeData/455-peak+year_c.csv diff --git a/SurgeData/N=1000/455-peak+year_w.csv b/SurgeData/455-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/455-peak+year_w.csv rename to SurgeData/455-peak+year_w.csv diff --git a/SurgeData/N=1000/455-peak_c.csv b/SurgeData/455-peak_c.csv similarity index 100% rename from SurgeData/N=1000/455-peak_c.csv rename to SurgeData/455-peak_c.csv diff --git a/SurgeData/N=1000/455-peak_w.csv b/SurgeData/455-peak_w.csv similarity index 100% rename from SurgeData/N=1000/455-peak_w.csv rename to SurgeData/455-peak_w.csv diff --git a/SurgeData/N=1000/455-surge_c.csv b/SurgeData/455-surge_c.csv similarity index 100% rename from SurgeData/N=1000/455-surge_c.csv rename to SurgeData/455-surge_c.csv diff --git a/SurgeData/N=1000/455-surge_w.csv b/SurgeData/455-surge_w.csv similarity index 100% rename from SurgeData/N=1000/455-surge_w.csv rename to SurgeData/455-surge_w.csv diff --git a/SurgeData/N=1000/455-time_c.csv b/SurgeData/455-time_c.csv similarity index 100% rename from SurgeData/N=1000/455-time_c.csv rename to SurgeData/455-time_c.csv diff --git a/SurgeData/N=1000/455-time_w.csv b/SurgeData/455-time_w.csv similarity index 100% rename from SurgeData/N=1000/455-time_w.csv rename to SurgeData/455-time_w.csv diff --git a/SurgeData/N=1000/455-waterlevel_c.csv b/SurgeData/455-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/455-waterlevel_c.csv rename to SurgeData/455-waterlevel_c.csv diff --git a/SurgeData/N=1000/455-waterlevel_w.csv b/SurgeData/455-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/455-waterlevel_w.csv rename to SurgeData/455-waterlevel_w.csv diff --git a/SurgeData/N=1000/456-peak+year_c.csv b/SurgeData/456-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/456-peak+year_c.csv rename to SurgeData/456-peak+year_c.csv diff --git a/SurgeData/N=1000/456-peak+year_w.csv b/SurgeData/456-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/456-peak+year_w.csv rename to SurgeData/456-peak+year_w.csv diff --git a/SurgeData/N=1000/456-peak_c.csv b/SurgeData/456-peak_c.csv similarity index 100% rename from SurgeData/N=1000/456-peak_c.csv rename to SurgeData/456-peak_c.csv diff --git a/SurgeData/N=1000/456-peak_w.csv b/SurgeData/456-peak_w.csv similarity index 100% rename from SurgeData/N=1000/456-peak_w.csv rename to SurgeData/456-peak_w.csv diff --git a/SurgeData/N=1000/456-surge_c.csv b/SurgeData/456-surge_c.csv similarity index 100% rename from SurgeData/N=1000/456-surge_c.csv rename to SurgeData/456-surge_c.csv diff --git a/SurgeData/N=1000/456-surge_w.csv b/SurgeData/456-surge_w.csv similarity index 100% rename from SurgeData/N=1000/456-surge_w.csv rename to SurgeData/456-surge_w.csv diff --git a/SurgeData/N=1000/456-time_c.csv b/SurgeData/456-time_c.csv similarity index 100% rename from SurgeData/N=1000/456-time_c.csv rename to SurgeData/456-time_c.csv diff --git a/SurgeData/N=1000/456-time_w.csv b/SurgeData/456-time_w.csv similarity index 100% rename from SurgeData/N=1000/456-time_w.csv rename to SurgeData/456-time_w.csv diff --git a/SurgeData/N=1000/456-waterlevel_c.csv b/SurgeData/456-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/456-waterlevel_c.csv rename to SurgeData/456-waterlevel_c.csv diff --git a/SurgeData/N=1000/456-waterlevel_w.csv b/SurgeData/456-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/456-waterlevel_w.csv rename to SurgeData/456-waterlevel_w.csv diff --git a/SurgeData/N=1000/457-peak+year_c.csv b/SurgeData/457-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/457-peak+year_c.csv rename to SurgeData/457-peak+year_c.csv diff --git a/SurgeData/N=1000/457-peak+year_w.csv b/SurgeData/457-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/457-peak+year_w.csv rename to SurgeData/457-peak+year_w.csv diff --git a/SurgeData/N=1000/457-peak_c.csv b/SurgeData/457-peak_c.csv similarity index 100% rename from SurgeData/N=1000/457-peak_c.csv rename to SurgeData/457-peak_c.csv diff --git a/SurgeData/N=1000/457-peak_w.csv b/SurgeData/457-peak_w.csv similarity index 100% rename from SurgeData/N=1000/457-peak_w.csv rename to SurgeData/457-peak_w.csv diff --git a/SurgeData/N=1000/457-surge_c.csv b/SurgeData/457-surge_c.csv similarity index 100% rename from SurgeData/N=1000/457-surge_c.csv rename to SurgeData/457-surge_c.csv diff --git a/SurgeData/N=1000/457-surge_w.csv b/SurgeData/457-surge_w.csv similarity index 100% rename from SurgeData/N=1000/457-surge_w.csv rename to SurgeData/457-surge_w.csv diff --git a/SurgeData/N=1000/457-time_c.csv b/SurgeData/457-time_c.csv similarity index 100% rename from SurgeData/N=1000/457-time_c.csv rename to SurgeData/457-time_c.csv diff --git a/SurgeData/N=1000/457-time_w.csv b/SurgeData/457-time_w.csv similarity index 100% rename from SurgeData/N=1000/457-time_w.csv rename to SurgeData/457-time_w.csv diff --git a/SurgeData/N=1000/457-waterlevel_c.csv b/SurgeData/457-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/457-waterlevel_c.csv rename to SurgeData/457-waterlevel_c.csv diff --git a/SurgeData/N=1000/457-waterlevel_w.csv b/SurgeData/457-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/457-waterlevel_w.csv rename to SurgeData/457-waterlevel_w.csv diff --git a/SurgeData/458-num_storm.csv b/SurgeData/458-num_storm.csv new file mode 100644 index 00000000..756b9e99 --- /dev/null +++ b/SurgeData/458-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,3.0 +2022,1.0,5.0 +2023,1.0,10.0 +2024,2.0,4.0 +2025,2.0,4.0 +2026,3.0,8.0 +2027,1.0,3.0 +2028,0.0,5.0 +2029,4.0,6.0 +2030,1.0,7.0 +2031,0.0,5.0 +2032,0.0,6.0 +2033,4.0,4.0 +2034,1.0,3.0 +2035,1.0,5.0 +2036,3.0,6.0 +2037,0.0,5.0 +2038,0.0,4.0 +2039,0.0,3.0 +2040,0.0,7.0 +2041,1.0,3.0 +2042,3.0,5.0 +2043,3.0,10.0 +2044,2.0,2.0 +2045,1.0,3.0 +2046,2.0,0.0 +2047,1.0,3.0 +2048,0.0,4.0 +2049,0.0,4.0 +2050,1.0,8.0 +2051,3.0,4.0 +2052,0.0,5.0 +2053,3.0,2.0 +2054,3.0,5.0 +2055,3.0,4.0 +2056,1.0,8.0 +2057,2.0,5.0 +2058,0.0,3.0 +2059,1.0,1.0 +2060,2.0,5.0 +2061,2.0,2.0 +2062,2.0,4.0 +2063,2.0,3.0 +2064,3.0,9.0 +2065,0.0,4.0 +2066,2.0,2.0 +2067,1.0,5.0 +2068,2.0,8.0 +2069,4.0,4.0 +2070,4.0,5.0 +2071,1.0,8.0 +2072,2.0,7.0 +2073,1.0,4.0 +2074,2.0,0.0 +2075,2.0,6.0 +2076,2.0,3.0 +2077,0.0,6.0 +2078,0.0,4.0 +2079,1.0,8.0 +2080,2.0,3.0 +2081,2.0,7.0 +2082,1.0,6.0 +2083,4.0,3.0 +2084,4.0,7.0 +2085,3.0,0.0 +2086,1.0,1.0 +2087,3.0,1.0 +2088,1.0,3.0 +2089,2.0,5.0 +2090,1.0,5.0 +2091,2.0,8.0 +2092,1.0,5.0 +2093,2.0,5.0 +2094,3.0,4.0 +2095,2.0,2.0 +2096,3.0,8.0 +2097,2.0,7.0 +2098,0.0,2.0 +2099,0.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/458-peak+year_c.csv b/SurgeData/458-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/458-peak+year_c.csv rename to SurgeData/458-peak+year_c.csv diff --git a/SurgeData/N=1000/458-peak+year_w.csv b/SurgeData/458-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/458-peak+year_w.csv rename to SurgeData/458-peak+year_w.csv diff --git a/SurgeData/N=1000/458-peak_c.csv b/SurgeData/458-peak_c.csv similarity index 100% rename from SurgeData/N=1000/458-peak_c.csv rename to SurgeData/458-peak_c.csv diff --git a/SurgeData/N=1000/458-peak_w.csv b/SurgeData/458-peak_w.csv similarity index 100% rename from SurgeData/N=1000/458-peak_w.csv rename to SurgeData/458-peak_w.csv diff --git a/SurgeData/N=1000/458-surge_c.csv b/SurgeData/458-surge_c.csv similarity index 100% rename from SurgeData/N=1000/458-surge_c.csv rename to SurgeData/458-surge_c.csv diff --git a/SurgeData/N=1000/458-surge_w.csv b/SurgeData/458-surge_w.csv similarity index 100% rename from SurgeData/N=1000/458-surge_w.csv rename to SurgeData/458-surge_w.csv diff --git a/SurgeData/N=1000/458-time_c.csv b/SurgeData/458-time_c.csv similarity index 100% rename from SurgeData/N=1000/458-time_c.csv rename to SurgeData/458-time_c.csv diff --git a/SurgeData/N=1000/458-time_w.csv b/SurgeData/458-time_w.csv similarity index 100% rename from SurgeData/N=1000/458-time_w.csv rename to SurgeData/458-time_w.csv diff --git a/SurgeData/N=1000/458-waterlevel_c.csv b/SurgeData/458-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/458-waterlevel_c.csv rename to SurgeData/458-waterlevel_c.csv diff --git a/SurgeData/N=1000/458-waterlevel_w.csv b/SurgeData/458-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/458-waterlevel_w.csv rename to SurgeData/458-waterlevel_w.csv diff --git a/SurgeData/459-num_storm.csv b/SurgeData/459-num_storm.csv new file mode 100644 index 00000000..f6368548 --- /dev/null +++ b/SurgeData/459-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,4.0 +2022,1.0,2.0 +2023,4.0,7.0 +2024,3.0,1.0 +2025,5.0,5.0 +2026,3.0,1.0 +2027,3.0,4.0 +2028,1.0,6.0 +2029,2.0,5.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,3.0,1.0 +2033,2.0,4.0 +2034,2.0,4.0 +2035,2.0,6.0 +2036,3.0,6.0 +2037,2.0,5.0 +2038,0.0,4.0 +2039,3.0,1.0 +2040,2.0,5.0 +2041,1.0,3.0 +2042,1.0,2.0 +2043,0.0,6.0 +2044,2.0,4.0 +2045,0.0,4.0 +2046,2.0,3.0 +2047,2.0,9.0 +2048,1.0,6.0 +2049,0.0,2.0 +2050,4.0,2.0 +2051,1.0,4.0 +2052,2.0,5.0 +2053,3.0,4.0 +2054,2.0,3.0 +2055,1.0,2.0 +2056,5.0,4.0 +2057,1.0,4.0 +2058,4.0,1.0 +2059,0.0,10.0 +2060,3.0,1.0 +2061,3.0,5.0 +2062,2.0,2.0 +2063,1.0,1.0 +2064,0.0,3.0 +2065,2.0,1.0 +2066,2.0,2.0 +2067,3.0,4.0 +2068,4.0,2.0 +2069,1.0,2.0 +2070,2.0,1.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,0.0,5.0 +2074,2.0,5.0 +2075,0.0,3.0 +2076,2.0,6.0 +2077,1.0,11.0 +2078,2.0,6.0 +2079,3.0,5.0 +2080,0.0,0.0 +2081,0.0,5.0 +2082,0.0,5.0 +2083,2.0,5.0 +2084,1.0,6.0 +2085,2.0,1.0 +2086,2.0,7.0 +2087,0.0,5.0 +2088,3.0,5.0 +2089,1.0,10.0 +2090,2.0,7.0 +2091,3.0,4.0 +2092,2.0,3.0 +2093,4.0,2.0 +2094,2.0,4.0 +2095,0.0,0.0 +2096,0.0,7.0 +2097,2.0,5.0 +2098,0.0,4.0 +2099,1.0,4.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/459-peak+year_c.csv b/SurgeData/459-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/459-peak+year_c.csv rename to SurgeData/459-peak+year_c.csv diff --git a/SurgeData/N=1000/459-peak+year_w.csv b/SurgeData/459-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/459-peak+year_w.csv rename to SurgeData/459-peak+year_w.csv diff --git a/SurgeData/N=1000/459-peak_c.csv b/SurgeData/459-peak_c.csv similarity index 100% rename from SurgeData/N=1000/459-peak_c.csv rename to SurgeData/459-peak_c.csv diff --git a/SurgeData/N=1000/459-peak_w.csv b/SurgeData/459-peak_w.csv similarity index 100% rename from SurgeData/N=1000/459-peak_w.csv rename to SurgeData/459-peak_w.csv diff --git a/SurgeData/N=1000/459-surge_c.csv b/SurgeData/459-surge_c.csv similarity index 100% rename from SurgeData/N=1000/459-surge_c.csv rename to SurgeData/459-surge_c.csv diff --git a/SurgeData/N=1000/459-surge_w.csv b/SurgeData/459-surge_w.csv similarity index 100% rename from SurgeData/N=1000/459-surge_w.csv rename to SurgeData/459-surge_w.csv diff --git a/SurgeData/N=1000/459-time_c.csv b/SurgeData/459-time_c.csv similarity index 100% rename from SurgeData/N=1000/459-time_c.csv rename to SurgeData/459-time_c.csv diff --git a/SurgeData/N=1000/459-time_w.csv b/SurgeData/459-time_w.csv similarity index 100% rename from SurgeData/N=1000/459-time_w.csv rename to SurgeData/459-time_w.csv diff --git a/SurgeData/N=1000/459-waterlevel_c.csv b/SurgeData/459-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/459-waterlevel_c.csv rename to SurgeData/459-waterlevel_c.csv diff --git a/SurgeData/N=1000/459-waterlevel_w.csv b/SurgeData/459-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/459-waterlevel_w.csv rename to SurgeData/459-waterlevel_w.csv diff --git a/SurgeData/N=1000/46-peak+year_c.csv b/SurgeData/46-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/46-peak+year_c.csv rename to SurgeData/46-peak+year_c.csv diff --git a/SurgeData/N=1000/46-peak+year_w.csv b/SurgeData/46-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/46-peak+year_w.csv rename to SurgeData/46-peak+year_w.csv diff --git a/SurgeData/N=1000/46-peak_c.csv b/SurgeData/46-peak_c.csv similarity index 100% rename from SurgeData/N=1000/46-peak_c.csv rename to SurgeData/46-peak_c.csv diff --git a/SurgeData/N=1000/46-peak_w.csv b/SurgeData/46-peak_w.csv similarity index 100% rename from SurgeData/N=1000/46-peak_w.csv rename to SurgeData/46-peak_w.csv diff --git a/SurgeData/N=1000/46-surge_c.csv b/SurgeData/46-surge_c.csv similarity index 100% rename from SurgeData/N=1000/46-surge_c.csv rename to SurgeData/46-surge_c.csv diff --git a/SurgeData/N=1000/46-surge_w.csv b/SurgeData/46-surge_w.csv similarity index 100% rename from SurgeData/N=1000/46-surge_w.csv rename to SurgeData/46-surge_w.csv diff --git a/SurgeData/N=1000/46-time_c.csv b/SurgeData/46-time_c.csv similarity index 100% rename from SurgeData/N=1000/46-time_c.csv rename to SurgeData/46-time_c.csv diff --git a/SurgeData/N=1000/46-time_w.csv b/SurgeData/46-time_w.csv similarity index 100% rename from SurgeData/N=1000/46-time_w.csv rename to SurgeData/46-time_w.csv diff --git a/SurgeData/N=1000/46-waterlevel_c.csv b/SurgeData/46-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/46-waterlevel_c.csv rename to SurgeData/46-waterlevel_c.csv diff --git a/SurgeData/N=1000/46-waterlevel_w.csv b/SurgeData/46-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/46-waterlevel_w.csv rename to SurgeData/46-waterlevel_w.csv diff --git a/SurgeData/460-num_storm.csv b/SurgeData/460-num_storm.csv new file mode 100644 index 00000000..3dc4c346 --- /dev/null +++ b/SurgeData/460-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,7.0 +2022,0.0,5.0 +2023,0.0,9.0 +2024,0.0,3.0 +2025,4.0,2.0 +2026,0.0,3.0 +2027,0.0,1.0 +2028,2.0,3.0 +2029,2.0,2.0 +2030,2.0,2.0 +2031,2.0,2.0 +2032,0.0,5.0 +2033,2.0,6.0 +2034,2.0,2.0 +2035,0.0,5.0 +2036,0.0,3.0 +2037,3.0,2.0 +2038,2.0,8.0 +2039,0.0,8.0 +2040,3.0,5.0 +2041,2.0,3.0 +2042,4.0,1.0 +2043,1.0,3.0 +2044,1.0,7.0 +2045,0.0,7.0 +2046,4.0,5.0 +2047,1.0,5.0 +2048,2.0,1.0 +2049,2.0,7.0 +2050,1.0,6.0 +2051,4.0,5.0 +2052,1.0,7.0 +2053,2.0,2.0 +2054,2.0,2.0 +2055,0.0,5.0 +2056,0.0,4.0 +2057,1.0,3.0 +2058,0.0,4.0 +2059,2.0,6.0 +2060,2.0,2.0 +2061,1.0,2.0 +2062,1.0,4.0 +2063,2.0,3.0 +2064,0.0,6.0 +2065,1.0,3.0 +2066,1.0,4.0 +2067,0.0,2.0 +2068,4.0,6.0 +2069,0.0,4.0 +2070,2.0,4.0 +2071,2.0,6.0 +2072,2.0,5.0 +2073,2.0,4.0 +2074,3.0,3.0 +2075,2.0,3.0 +2076,0.0,5.0 +2077,1.0,6.0 +2078,2.0,3.0 +2079,2.0,2.0 +2080,2.0,1.0 +2081,2.0,6.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,2.0,5.0 +2085,1.0,1.0 +2086,0.0,7.0 +2087,0.0,5.0 +2088,0.0,10.0 +2089,0.0,1.0 +2090,1.0,7.0 +2091,0.0,6.0 +2092,2.0,6.0 +2093,1.0,4.0 +2094,0.0,5.0 +2095,0.0,5.0 +2096,3.0,7.0 +2097,4.0,3.0 +2098,3.0,2.0 +2099,0.0,5.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/460-peak+year_c.csv b/SurgeData/460-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/460-peak+year_c.csv rename to SurgeData/460-peak+year_c.csv diff --git a/SurgeData/N=1000/460-peak+year_w.csv b/SurgeData/460-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/460-peak+year_w.csv rename to SurgeData/460-peak+year_w.csv diff --git a/SurgeData/N=1000/460-peak_c.csv b/SurgeData/460-peak_c.csv similarity index 100% rename from SurgeData/N=1000/460-peak_c.csv rename to SurgeData/460-peak_c.csv diff --git a/SurgeData/N=1000/460-peak_w.csv b/SurgeData/460-peak_w.csv similarity index 100% rename from SurgeData/N=1000/460-peak_w.csv rename to SurgeData/460-peak_w.csv diff --git a/SurgeData/N=1000/460-surge_c.csv b/SurgeData/460-surge_c.csv similarity index 100% rename from SurgeData/N=1000/460-surge_c.csv rename to SurgeData/460-surge_c.csv diff --git a/SurgeData/N=1000/460-surge_w.csv b/SurgeData/460-surge_w.csv similarity index 100% rename from SurgeData/N=1000/460-surge_w.csv rename to SurgeData/460-surge_w.csv diff --git a/SurgeData/N=1000/460-time_c.csv b/SurgeData/460-time_c.csv similarity index 100% rename from SurgeData/N=1000/460-time_c.csv rename to SurgeData/460-time_c.csv diff --git a/SurgeData/N=1000/460-time_w.csv b/SurgeData/460-time_w.csv similarity index 100% rename from SurgeData/N=1000/460-time_w.csv rename to SurgeData/460-time_w.csv diff --git a/SurgeData/N=1000/460-waterlevel_c.csv b/SurgeData/460-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/460-waterlevel_c.csv rename to SurgeData/460-waterlevel_c.csv diff --git a/SurgeData/N=1000/460-waterlevel_w.csv b/SurgeData/460-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/460-waterlevel_w.csv rename to SurgeData/460-waterlevel_w.csv diff --git a/SurgeData/N=1000/461-peak+year_c.csv b/SurgeData/461-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/461-peak+year_c.csv rename to SurgeData/461-peak+year_c.csv diff --git a/SurgeData/N=1000/461-peak+year_w.csv b/SurgeData/461-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/461-peak+year_w.csv rename to SurgeData/461-peak+year_w.csv diff --git a/SurgeData/N=1000/461-peak_c.csv b/SurgeData/461-peak_c.csv similarity index 100% rename from SurgeData/N=1000/461-peak_c.csv rename to SurgeData/461-peak_c.csv diff --git a/SurgeData/N=1000/461-peak_w.csv b/SurgeData/461-peak_w.csv similarity index 100% rename from SurgeData/N=1000/461-peak_w.csv rename to SurgeData/461-peak_w.csv diff --git a/SurgeData/N=1000/461-surge_c.csv b/SurgeData/461-surge_c.csv similarity index 100% rename from SurgeData/N=1000/461-surge_c.csv rename to SurgeData/461-surge_c.csv diff --git a/SurgeData/N=1000/461-surge_w.csv b/SurgeData/461-surge_w.csv similarity index 100% rename from SurgeData/N=1000/461-surge_w.csv rename to SurgeData/461-surge_w.csv diff --git a/SurgeData/N=1000/461-time_c.csv b/SurgeData/461-time_c.csv similarity index 100% rename from SurgeData/N=1000/461-time_c.csv rename to SurgeData/461-time_c.csv diff --git a/SurgeData/N=1000/461-time_w.csv b/SurgeData/461-time_w.csv similarity index 100% rename from SurgeData/N=1000/461-time_w.csv rename to SurgeData/461-time_w.csv diff --git a/SurgeData/N=1000/461-waterlevel_c.csv b/SurgeData/461-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/461-waterlevel_c.csv rename to SurgeData/461-waterlevel_c.csv diff --git a/SurgeData/N=1000/461-waterlevel_w.csv b/SurgeData/461-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/461-waterlevel_w.csv rename to SurgeData/461-waterlevel_w.csv diff --git a/SurgeData/462-num_storm.csv b/SurgeData/462-num_storm.csv new file mode 100644 index 00000000..3464c5df --- /dev/null +++ b/SurgeData/462-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,3.0,5.0 +2022,1.0,4.0 +2023,0.0,5.0 +2024,2.0,4.0 +2025,1.0,9.0 +2026,3.0,4.0 +2027,2.0,2.0 +2028,1.0,4.0 +2029,1.0,4.0 +2030,2.0,0.0 +2031,5.0,5.0 +2032,3.0,4.0 +2033,2.0,4.0 +2034,1.0,3.0 +2035,2.0,3.0 +2036,1.0,3.0 +2037,2.0,5.0 +2038,1.0,5.0 +2039,1.0,7.0 +2040,3.0,6.0 +2041,2.0,3.0 +2042,1.0,3.0 +2043,3.0,4.0 +2044,2.0,8.0 +2045,1.0,3.0 +2046,1.0,0.0 +2047,3.0,2.0 +2048,0.0,9.0 +2049,2.0,6.0 +2050,1.0,4.0 +2051,2.0,6.0 +2052,3.0,3.0 +2053,2.0,2.0 +2054,6.0,5.0 +2055,2.0,3.0 +2056,1.0,8.0 +2057,1.0,4.0 +2058,4.0,5.0 +2059,0.0,1.0 +2060,1.0,5.0 +2061,3.0,4.0 +2062,3.0,4.0 +2063,0.0,5.0 +2064,2.0,5.0 +2065,1.0,5.0 +2066,3.0,7.0 +2067,2.0,1.0 +2068,3.0,6.0 +2069,2.0,6.0 +2070,5.0,4.0 +2071,2.0,0.0 +2072,4.0,9.0 +2073,3.0,8.0 +2074,0.0,7.0 +2075,0.0,8.0 +2076,2.0,3.0 +2077,1.0,4.0 +2078,1.0,2.0 +2079,1.0,2.0 +2080,1.0,3.0 +2081,4.0,6.0 +2082,1.0,6.0 +2083,5.0,2.0 +2084,0.0,4.0 +2085,0.0,2.0 +2086,2.0,5.0 +2087,1.0,7.0 +2088,3.0,5.0 +2089,2.0,3.0 +2090,3.0,6.0 +2091,2.0,6.0 +2092,0.0,1.0 +2093,0.0,5.0 +2094,3.0,5.0 +2095,5.0,4.0 +2096,2.0,6.0 +2097,0.0,6.0 +2098,1.0,2.0 +2099,3.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/462-peak+year_c.csv b/SurgeData/462-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/462-peak+year_c.csv rename to SurgeData/462-peak+year_c.csv diff --git a/SurgeData/N=1000/462-peak+year_w.csv b/SurgeData/462-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/462-peak+year_w.csv rename to SurgeData/462-peak+year_w.csv diff --git a/SurgeData/N=1000/462-peak_c.csv b/SurgeData/462-peak_c.csv similarity index 100% rename from SurgeData/N=1000/462-peak_c.csv rename to SurgeData/462-peak_c.csv diff --git a/SurgeData/N=1000/462-peak_w.csv b/SurgeData/462-peak_w.csv similarity index 100% rename from SurgeData/N=1000/462-peak_w.csv rename to SurgeData/462-peak_w.csv diff --git a/SurgeData/N=1000/462-surge_c.csv b/SurgeData/462-surge_c.csv similarity index 100% rename from SurgeData/N=1000/462-surge_c.csv rename to SurgeData/462-surge_c.csv diff --git a/SurgeData/N=1000/462-surge_w.csv b/SurgeData/462-surge_w.csv similarity index 100% rename from SurgeData/N=1000/462-surge_w.csv rename to SurgeData/462-surge_w.csv diff --git a/SurgeData/N=1000/462-time_c.csv b/SurgeData/462-time_c.csv similarity index 100% rename from SurgeData/N=1000/462-time_c.csv rename to SurgeData/462-time_c.csv diff --git a/SurgeData/N=1000/462-time_w.csv b/SurgeData/462-time_w.csv similarity index 100% rename from SurgeData/N=1000/462-time_w.csv rename to SurgeData/462-time_w.csv diff --git a/SurgeData/N=1000/462-waterlevel_c.csv b/SurgeData/462-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/462-waterlevel_c.csv rename to SurgeData/462-waterlevel_c.csv diff --git a/SurgeData/N=1000/462-waterlevel_w.csv b/SurgeData/462-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/462-waterlevel_w.csv rename to SurgeData/462-waterlevel_w.csv diff --git a/SurgeData/463-num_storm.csv b/SurgeData/463-num_storm.csv new file mode 100644 index 00000000..0ae131c3 --- /dev/null +++ b/SurgeData/463-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,1.0,5.0 +2024,3.0,7.0 +2025,3.0,1.0 +2026,1.0,6.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,1.0,4.0 +2030,4.0,7.0 +2031,0.0,6.0 +2032,1.0,2.0 +2033,1.0,7.0 +2034,1.0,5.0 +2035,4.0,1.0 +2036,3.0,4.0 +2037,1.0,9.0 +2038,2.0,4.0 +2039,3.0,2.0 +2040,3.0,1.0 +2041,1.0,2.0 +2042,1.0,3.0 +2043,3.0,3.0 +2044,2.0,3.0 +2045,3.0,2.0 +2046,1.0,4.0 +2047,2.0,6.0 +2048,0.0,2.0 +2049,1.0,5.0 +2050,1.0,5.0 +2051,0.0,7.0 +2052,1.0,3.0 +2053,2.0,4.0 +2054,1.0,7.0 +2055,2.0,6.0 +2056,3.0,3.0 +2057,2.0,2.0 +2058,0.0,5.0 +2059,2.0,4.0 +2060,0.0,6.0 +2061,1.0,9.0 +2062,2.0,5.0 +2063,3.0,3.0 +2064,2.0,5.0 +2065,1.0,4.0 +2066,1.0,2.0 +2067,1.0,3.0 +2068,4.0,1.0 +2069,1.0,5.0 +2070,1.0,2.0 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a/SurgeData/N=1000/463-peak_w.csv b/SurgeData/463-peak_w.csv similarity index 100% rename from SurgeData/N=1000/463-peak_w.csv rename to SurgeData/463-peak_w.csv diff --git a/SurgeData/N=1000/463-surge_c.csv b/SurgeData/463-surge_c.csv similarity index 100% rename from SurgeData/N=1000/463-surge_c.csv rename to SurgeData/463-surge_c.csv diff --git a/SurgeData/N=1000/463-surge_w.csv b/SurgeData/463-surge_w.csv similarity index 100% rename from SurgeData/N=1000/463-surge_w.csv rename to SurgeData/463-surge_w.csv diff --git a/SurgeData/N=1000/463-time_c.csv b/SurgeData/463-time_c.csv similarity index 100% rename from SurgeData/N=1000/463-time_c.csv rename to SurgeData/463-time_c.csv diff --git a/SurgeData/N=1000/463-time_w.csv b/SurgeData/463-time_w.csv similarity index 100% rename from SurgeData/N=1000/463-time_w.csv rename to SurgeData/463-time_w.csv diff --git a/SurgeData/N=1000/463-waterlevel_c.csv b/SurgeData/463-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/463-waterlevel_c.csv rename to SurgeData/463-waterlevel_c.csv diff --git a/SurgeData/N=1000/463-waterlevel_w.csv b/SurgeData/463-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/463-waterlevel_w.csv rename to SurgeData/463-waterlevel_w.csv diff --git a/SurgeData/464-num_storm.csv b/SurgeData/464-num_storm.csv new file mode 100644 index 00000000..8379c1c9 --- /dev/null +++ b/SurgeData/464-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,3.0 +2022,1.0,11.0 +2023,1.0,4.0 +2024,1.0,5.0 +2025,1.0,6.0 +2026,3.0,2.0 +2027,2.0,6.0 +2028,1.0,5.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,2.0,9.0 +2032,1.0,4.0 +2033,3.0,3.0 +2034,2.0,7.0 +2035,2.0,3.0 +2036,1.0,3.0 +2037,1.0,8.0 +2038,1.0,4.0 +2039,1.0,4.0 +2040,0.0,2.0 +2041,1.0,2.0 +2042,2.0,10.0 +2043,2.0,5.0 +2044,1.0,7.0 +2045,0.0,3.0 +2046,0.0,2.0 +2047,2.0,6.0 +2048,2.0,2.0 +2049,0.0,4.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,4.0,2.0 +2053,1.0,2.0 +2054,4.0,3.0 +2055,3.0,5.0 +2056,2.0,5.0 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SurgeData/464-peak+year_w.csv diff --git a/SurgeData/N=1000/464-peak_c.csv b/SurgeData/464-peak_c.csv similarity index 100% rename from SurgeData/N=1000/464-peak_c.csv rename to SurgeData/464-peak_c.csv diff --git a/SurgeData/N=1000/464-peak_w.csv b/SurgeData/464-peak_w.csv similarity index 100% rename from SurgeData/N=1000/464-peak_w.csv rename to SurgeData/464-peak_w.csv diff --git a/SurgeData/N=1000/464-surge_c.csv b/SurgeData/464-surge_c.csv similarity index 100% rename from SurgeData/N=1000/464-surge_c.csv rename to SurgeData/464-surge_c.csv diff --git a/SurgeData/N=1000/464-surge_w.csv b/SurgeData/464-surge_w.csv similarity index 100% rename from SurgeData/N=1000/464-surge_w.csv rename to SurgeData/464-surge_w.csv diff --git a/SurgeData/N=1000/464-time_c.csv b/SurgeData/464-time_c.csv similarity index 100% rename from SurgeData/N=1000/464-time_c.csv rename to SurgeData/464-time_c.csv diff --git a/SurgeData/N=1000/464-time_w.csv b/SurgeData/464-time_w.csv similarity index 100% rename from SurgeData/N=1000/464-time_w.csv rename to SurgeData/464-time_w.csv diff --git a/SurgeData/N=1000/464-waterlevel_c.csv b/SurgeData/464-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/464-waterlevel_c.csv rename to SurgeData/464-waterlevel_c.csv diff --git a/SurgeData/N=1000/464-waterlevel_w.csv b/SurgeData/464-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/464-waterlevel_w.csv rename to SurgeData/464-waterlevel_w.csv diff --git a/SurgeData/N=1000/465-peak+year_c.csv b/SurgeData/465-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/465-peak+year_c.csv rename to SurgeData/465-peak+year_c.csv diff --git a/SurgeData/N=1000/465-peak+year_w.csv b/SurgeData/465-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/465-peak+year_w.csv rename to SurgeData/465-peak+year_w.csv diff --git a/SurgeData/N=1000/465-peak_c.csv b/SurgeData/465-peak_c.csv similarity index 100% rename from SurgeData/N=1000/465-peak_c.csv rename to SurgeData/465-peak_c.csv diff --git a/SurgeData/N=1000/465-peak_w.csv b/SurgeData/465-peak_w.csv similarity index 100% rename from SurgeData/N=1000/465-peak_w.csv rename to SurgeData/465-peak_w.csv diff --git a/SurgeData/N=1000/465-surge_c.csv b/SurgeData/465-surge_c.csv similarity index 100% rename from SurgeData/N=1000/465-surge_c.csv rename to SurgeData/465-surge_c.csv diff --git a/SurgeData/N=1000/465-surge_w.csv b/SurgeData/465-surge_w.csv similarity index 100% rename from SurgeData/N=1000/465-surge_w.csv rename to SurgeData/465-surge_w.csv diff --git a/SurgeData/N=1000/465-time_c.csv b/SurgeData/465-time_c.csv similarity index 100% rename from SurgeData/N=1000/465-time_c.csv rename to SurgeData/465-time_c.csv diff --git a/SurgeData/N=1000/465-time_w.csv b/SurgeData/465-time_w.csv similarity index 100% rename from SurgeData/N=1000/465-time_w.csv rename to SurgeData/465-time_w.csv diff --git a/SurgeData/N=1000/465-waterlevel_c.csv b/SurgeData/465-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/465-waterlevel_c.csv rename to SurgeData/465-waterlevel_c.csv diff --git a/SurgeData/N=1000/465-waterlevel_w.csv b/SurgeData/465-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/465-waterlevel_w.csv rename to SurgeData/465-waterlevel_w.csv diff --git a/SurgeData/N=1000/466-peak+year_c.csv b/SurgeData/466-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/466-peak+year_c.csv rename to SurgeData/466-peak+year_c.csv diff --git a/SurgeData/N=1000/466-peak+year_w.csv b/SurgeData/466-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/466-peak+year_w.csv rename to SurgeData/466-peak+year_w.csv diff --git a/SurgeData/N=1000/466-peak_c.csv b/SurgeData/466-peak_c.csv similarity index 100% rename from SurgeData/N=1000/466-peak_c.csv rename to SurgeData/466-peak_c.csv diff --git a/SurgeData/N=1000/466-peak_w.csv b/SurgeData/466-peak_w.csv similarity index 100% rename from SurgeData/N=1000/466-peak_w.csv rename to SurgeData/466-peak_w.csv diff --git a/SurgeData/N=1000/466-surge_c.csv b/SurgeData/466-surge_c.csv similarity index 100% rename from SurgeData/N=1000/466-surge_c.csv rename to SurgeData/466-surge_c.csv diff --git a/SurgeData/N=1000/466-surge_w.csv b/SurgeData/466-surge_w.csv similarity index 100% rename from SurgeData/N=1000/466-surge_w.csv rename to SurgeData/466-surge_w.csv diff --git a/SurgeData/N=1000/466-time_c.csv b/SurgeData/466-time_c.csv similarity index 100% rename from SurgeData/N=1000/466-time_c.csv rename to SurgeData/466-time_c.csv diff --git a/SurgeData/N=1000/466-time_w.csv b/SurgeData/466-time_w.csv similarity index 100% rename from SurgeData/N=1000/466-time_w.csv rename to SurgeData/466-time_w.csv diff --git a/SurgeData/N=1000/466-waterlevel_c.csv b/SurgeData/466-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/466-waterlevel_c.csv rename to SurgeData/466-waterlevel_c.csv diff --git a/SurgeData/N=1000/466-waterlevel_w.csv b/SurgeData/466-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/466-waterlevel_w.csv rename to SurgeData/466-waterlevel_w.csv diff --git a/SurgeData/467-num_storm.csv b/SurgeData/467-num_storm.csv new file mode 100644 index 00000000..55976155 --- /dev/null +++ b/SurgeData/467-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,0.0,2.0 +2022,0.0,8.0 +2023,0.0,1.0 +2024,6.0,2.0 +2025,2.0,6.0 +2026,1.0,6.0 +2027,1.0,1.0 +2028,4.0,3.0 +2029,0.0,5.0 +2030,1.0,9.0 +2031,1.0,6.0 +2032,1.0,4.0 +2033,1.0,5.0 +2034,0.0,3.0 +2035,0.0,5.0 +2036,0.0,7.0 +2037,1.0,4.0 +2038,2.0,6.0 +2039,2.0,3.0 +2040,0.0,3.0 +2041,1.0,5.0 +2042,3.0,6.0 +2043,0.0,3.0 +2044,0.0,7.0 +2045,2.0,5.0 +2046,3.0,2.0 +2047,2.0,7.0 +2048,3.0,4.0 +2049,1.0,4.0 +2050,0.0,5.0 +2051,0.0,4.0 +2052,4.0,3.0 +2053,1.0,4.0 +2054,3.0,4.0 +2055,2.0,6.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,3.0,6.0 +2059,0.0,4.0 +2060,1.0,6.0 +2061,0.0,2.0 +2062,1.0,8.0 +2063,1.0,5.0 +2064,1.0,5.0 +2065,3.0,6.0 +2066,1.0,4.0 +2067,2.0,3.0 +2068,1.0,5.0 +2069,2.0,1.0 +2070,1.0,4.0 +2071,0.0,2.0 +2072,0.0,3.0 +2073,1.0,3.0 +2074,1.0,4.0 +2075,2.0,6.0 +2076,4.0,1.0 +2077,1.0,7.0 +2078,1.0,1.0 +2079,2.0,5.0 +2080,2.0,7.0 +2081,1.0,8.0 +2082,0.0,1.0 +2083,3.0,5.0 +2084,1.0,3.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,1.0,5.0 +2089,0.0,1.0 +2090,0.0,6.0 +2091,4.0,5.0 +2092,1.0,4.0 +2093,1.0,7.0 +2094,6.0,3.0 +2095,4.0,3.0 +2096,1.0,5.0 +2097,2.0,5.0 +2098,1.0,3.0 +2099,0.0,7.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/467-peak+year_c.csv b/SurgeData/467-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/467-peak+year_c.csv rename to SurgeData/467-peak+year_c.csv diff --git a/SurgeData/N=1000/467-peak+year_w.csv b/SurgeData/467-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/467-peak+year_w.csv rename to SurgeData/467-peak+year_w.csv diff --git a/SurgeData/N=1000/467-peak_c.csv b/SurgeData/467-peak_c.csv similarity index 100% rename from SurgeData/N=1000/467-peak_c.csv rename to SurgeData/467-peak_c.csv diff --git a/SurgeData/N=1000/467-peak_w.csv b/SurgeData/467-peak_w.csv similarity index 100% rename from SurgeData/N=1000/467-peak_w.csv rename to SurgeData/467-peak_w.csv diff --git a/SurgeData/N=1000/467-surge_c.csv b/SurgeData/467-surge_c.csv similarity index 100% rename from SurgeData/N=1000/467-surge_c.csv rename to SurgeData/467-surge_c.csv diff --git a/SurgeData/N=1000/467-surge_w.csv b/SurgeData/467-surge_w.csv similarity index 100% rename from SurgeData/N=1000/467-surge_w.csv rename to SurgeData/467-surge_w.csv diff --git a/SurgeData/N=1000/467-time_c.csv b/SurgeData/467-time_c.csv similarity index 100% rename from SurgeData/N=1000/467-time_c.csv rename to SurgeData/467-time_c.csv diff --git a/SurgeData/N=1000/467-time_w.csv b/SurgeData/467-time_w.csv similarity index 100% rename from SurgeData/N=1000/467-time_w.csv rename to SurgeData/467-time_w.csv diff --git a/SurgeData/N=1000/467-waterlevel_c.csv b/SurgeData/467-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/467-waterlevel_c.csv rename to SurgeData/467-waterlevel_c.csv diff --git a/SurgeData/N=1000/467-waterlevel_w.csv b/SurgeData/467-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/467-waterlevel_w.csv rename to SurgeData/467-waterlevel_w.csv diff --git a/SurgeData/468-num_storm.csv b/SurgeData/468-num_storm.csv new file mode 100644 index 00000000..9d08c59e --- /dev/null +++ b/SurgeData/468-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,1.0 +2022,2.0,4.0 +2023,2.0,8.0 +2024,0.0,4.0 +2025,0.0,3.0 +2026,0.0,0.0 +2027,0.0,2.0 +2028,0.0,4.0 +2029,2.0,4.0 +2030,3.0,4.0 +2031,1.0,2.0 +2032,0.0,3.0 +2033,1.0,4.0 +2034,1.0,5.0 +2035,3.0,4.0 +2036,0.0,4.0 +2037,0.0,4.0 +2038,0.0,6.0 +2039,2.0,2.0 +2040,4.0,6.0 +2041,5.0,6.0 +2042,3.0,5.0 +2043,3.0,4.0 +2044,4.0,3.0 +2045,2.0,2.0 +2046,3.0,1.0 +2047,1.0,4.0 +2048,1.0,5.0 +2049,0.0,4.0 +2050,3.0,2.0 +2051,2.0,2.0 +2052,4.0,2.0 +2053,3.0,2.0 +2054,0.0,4.0 +2055,1.0,3.0 +2056,3.0,7.0 +2057,1.0,5.0 +2058,3.0,3.0 +2059,2.0,1.0 +2060,1.0,5.0 +2061,1.0,3.0 +2062,2.0,11.0 +2063,1.0,2.0 +2064,2.0,2.0 +2065,0.0,8.0 +2066,3.0,0.0 +2067,0.0,0.0 +2068,2.0,4.0 +2069,1.0,5.0 +2070,1.0,5.0 +2071,3.0,2.0 +2072,1.0,3.0 +2073,2.0,3.0 +2074,4.0,3.0 +2075,0.0,4.0 +2076,0.0,5.0 +2077,1.0,9.0 +2078,1.0,4.0 +2079,2.0,1.0 +2080,1.0,4.0 +2081,1.0,3.0 +2082,0.0,4.0 +2083,2.0,2.0 +2084,4.0,4.0 +2085,0.0,4.0 +2086,2.0,4.0 +2087,1.0,6.0 +2088,0.0,2.0 +2089,0.0,2.0 +2090,2.0,2.0 +2091,0.0,7.0 +2092,1.0,1.0 +2093,0.0,4.0 +2094,2.0,6.0 +2095,1.0,3.0 +2096,2.0,3.0 +2097,2.0,6.0 +2098,1.0,7.0 +2099,2.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/468-peak+year_c.csv b/SurgeData/468-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/468-peak+year_c.csv rename to SurgeData/468-peak+year_c.csv diff --git a/SurgeData/N=1000/468-peak+year_w.csv b/SurgeData/468-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/468-peak+year_w.csv rename to SurgeData/468-peak+year_w.csv diff --git a/SurgeData/N=1000/468-peak_c.csv b/SurgeData/468-peak_c.csv similarity index 100% rename from SurgeData/N=1000/468-peak_c.csv rename to SurgeData/468-peak_c.csv diff --git a/SurgeData/N=1000/468-peak_w.csv b/SurgeData/468-peak_w.csv similarity index 100% rename from SurgeData/N=1000/468-peak_w.csv rename to SurgeData/468-peak_w.csv diff --git a/SurgeData/N=1000/468-surge_c.csv b/SurgeData/468-surge_c.csv similarity index 100% rename from SurgeData/N=1000/468-surge_c.csv rename to SurgeData/468-surge_c.csv diff --git a/SurgeData/N=1000/468-surge_w.csv b/SurgeData/468-surge_w.csv similarity index 100% rename from SurgeData/N=1000/468-surge_w.csv rename to SurgeData/468-surge_w.csv diff --git a/SurgeData/N=1000/468-time_c.csv b/SurgeData/468-time_c.csv similarity index 100% rename from SurgeData/N=1000/468-time_c.csv rename to SurgeData/468-time_c.csv diff --git a/SurgeData/N=1000/468-time_w.csv b/SurgeData/468-time_w.csv similarity index 100% rename from SurgeData/N=1000/468-time_w.csv rename to SurgeData/468-time_w.csv diff --git a/SurgeData/N=1000/468-waterlevel_c.csv b/SurgeData/468-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/468-waterlevel_c.csv rename to SurgeData/468-waterlevel_c.csv diff --git a/SurgeData/N=1000/468-waterlevel_w.csv b/SurgeData/468-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/468-waterlevel_w.csv rename to SurgeData/468-waterlevel_w.csv diff --git a/SurgeData/N=1000/469-peak+year_c.csv b/SurgeData/469-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/469-peak+year_c.csv rename to SurgeData/469-peak+year_c.csv diff --git a/SurgeData/N=1000/469-peak+year_w.csv b/SurgeData/469-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/469-peak+year_w.csv rename to SurgeData/469-peak+year_w.csv diff --git a/SurgeData/N=1000/469-peak_c.csv b/SurgeData/469-peak_c.csv similarity index 100% rename from SurgeData/N=1000/469-peak_c.csv rename to SurgeData/469-peak_c.csv diff --git a/SurgeData/N=1000/469-peak_w.csv b/SurgeData/469-peak_w.csv similarity index 100% rename from SurgeData/N=1000/469-peak_w.csv rename to SurgeData/469-peak_w.csv diff --git a/SurgeData/N=1000/469-surge_c.csv b/SurgeData/469-surge_c.csv similarity index 100% rename from SurgeData/N=1000/469-surge_c.csv rename to SurgeData/469-surge_c.csv diff --git a/SurgeData/N=1000/469-surge_w.csv b/SurgeData/469-surge_w.csv similarity index 100% rename from SurgeData/N=1000/469-surge_w.csv rename to SurgeData/469-surge_w.csv diff --git a/SurgeData/N=1000/469-time_c.csv b/SurgeData/469-time_c.csv similarity index 100% rename from SurgeData/N=1000/469-time_c.csv rename to SurgeData/469-time_c.csv diff --git a/SurgeData/N=1000/469-time_w.csv b/SurgeData/469-time_w.csv similarity index 100% rename from SurgeData/N=1000/469-time_w.csv rename to SurgeData/469-time_w.csv diff --git a/SurgeData/N=1000/469-waterlevel_c.csv b/SurgeData/469-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/469-waterlevel_c.csv rename to SurgeData/469-waterlevel_c.csv diff --git a/SurgeData/N=1000/469-waterlevel_w.csv b/SurgeData/469-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/469-waterlevel_w.csv rename to SurgeData/469-waterlevel_w.csv diff --git a/SurgeData/N=1000/47-peak+year_c.csv b/SurgeData/47-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/47-peak+year_c.csv rename to SurgeData/47-peak+year_c.csv diff --git a/SurgeData/N=1000/47-peak+year_w.csv b/SurgeData/47-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/47-peak+year_w.csv rename to SurgeData/47-peak+year_w.csv diff --git a/SurgeData/N=1000/47-peak_c.csv b/SurgeData/47-peak_c.csv similarity index 100% rename from SurgeData/N=1000/47-peak_c.csv rename to SurgeData/47-peak_c.csv diff --git a/SurgeData/N=1000/47-peak_w.csv b/SurgeData/47-peak_w.csv similarity index 100% rename from SurgeData/N=1000/47-peak_w.csv rename to SurgeData/47-peak_w.csv diff --git a/SurgeData/N=1000/47-surge_c.csv b/SurgeData/47-surge_c.csv similarity index 100% rename from SurgeData/N=1000/47-surge_c.csv rename to SurgeData/47-surge_c.csv diff --git a/SurgeData/N=1000/47-surge_w.csv b/SurgeData/47-surge_w.csv similarity index 100% rename from SurgeData/N=1000/47-surge_w.csv rename to SurgeData/47-surge_w.csv diff --git a/SurgeData/N=1000/47-time_c.csv b/SurgeData/47-time_c.csv similarity index 100% rename from SurgeData/N=1000/47-time_c.csv rename to SurgeData/47-time_c.csv diff --git a/SurgeData/N=1000/47-time_w.csv b/SurgeData/47-time_w.csv similarity index 100% rename from SurgeData/N=1000/47-time_w.csv rename to SurgeData/47-time_w.csv diff --git a/SurgeData/N=1000/47-waterlevel_c.csv b/SurgeData/47-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/47-waterlevel_c.csv rename to SurgeData/47-waterlevel_c.csv diff --git a/SurgeData/N=1000/47-waterlevel_w.csv b/SurgeData/47-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/47-waterlevel_w.csv rename to SurgeData/47-waterlevel_w.csv diff --git a/SurgeData/470-num_storm.csv b/SurgeData/470-num_storm.csv new file mode 100644 index 00000000..fedb284c --- /dev/null +++ b/SurgeData/470-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,0.0 +2022,2.0,7.0 +2023,0.0,1.0 +2024,1.0,9.0 +2025,0.0,6.0 +2026,1.0,5.0 +2027,2.0,6.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,1.0,6.0 +2031,2.0,2.0 +2032,1.0,2.0 +2033,2.0,4.0 +2034,0.0,5.0 +2035,0.0,7.0 +2036,1.0,1.0 +2037,0.0,5.0 +2038,1.0,4.0 +2039,1.0,3.0 +2040,4.0,2.0 +2041,4.0,8.0 +2042,4.0,5.0 +2043,1.0,4.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,4.0,5.0 +2047,1.0,4.0 +2048,0.0,1.0 +2049,1.0,3.0 +2050,1.0,2.0 +2051,1.0,3.0 +2052,2.0,7.0 +2053,1.0,5.0 +2054,1.0,3.0 +2055,1.0,6.0 +2056,3.0,4.0 +2057,1.0,4.0 +2058,0.0,4.0 +2059,1.0,4.0 +2060,2.0,2.0 +2061,1.0,4.0 +2062,3.0,3.0 +2063,2.0,6.0 +2064,3.0,3.0 +2065,1.0,5.0 +2066,0.0,4.0 +2067,3.0,6.0 +2068,0.0,7.0 +2069,1.0,5.0 +2070,2.0,7.0 +2071,1.0,6.0 +2072,4.0,7.0 +2073,1.0,2.0 +2074,1.0,5.0 +2075,5.0,3.0 +2076,2.0,4.0 +2077,1.0,1.0 +2078,1.0,3.0 +2079,1.0,6.0 +2080,2.0,7.0 +2081,2.0,4.0 +2082,1.0,4.0 +2083,1.0,3.0 +2084,2.0,4.0 +2085,1.0,6.0 +2086,1.0,6.0 +2087,0.0,5.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,0.0,9.0 +2091,3.0,1.0 +2092,3.0,4.0 +2093,0.0,3.0 +2094,1.0,1.0 +2095,0.0,5.0 +2096,1.0,3.0 +2097,1.0,3.0 +2098,3.0,2.0 +2099,2.0,7.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/470-peak+year_c.csv b/SurgeData/470-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/470-peak+year_c.csv rename to SurgeData/470-peak+year_c.csv diff --git a/SurgeData/N=1000/470-peak+year_w.csv b/SurgeData/470-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/470-peak+year_w.csv rename to SurgeData/470-peak+year_w.csv diff --git a/SurgeData/N=1000/470-peak_c.csv b/SurgeData/470-peak_c.csv similarity index 100% rename from SurgeData/N=1000/470-peak_c.csv rename to SurgeData/470-peak_c.csv diff --git a/SurgeData/N=1000/470-peak_w.csv b/SurgeData/470-peak_w.csv similarity index 100% rename from SurgeData/N=1000/470-peak_w.csv rename to SurgeData/470-peak_w.csv diff --git a/SurgeData/N=1000/470-surge_c.csv b/SurgeData/470-surge_c.csv similarity index 100% rename from SurgeData/N=1000/470-surge_c.csv rename to SurgeData/470-surge_c.csv diff --git a/SurgeData/N=1000/470-surge_w.csv b/SurgeData/470-surge_w.csv similarity index 100% rename from SurgeData/N=1000/470-surge_w.csv rename to SurgeData/470-surge_w.csv diff --git a/SurgeData/N=1000/470-time_c.csv b/SurgeData/470-time_c.csv similarity index 100% rename from SurgeData/N=1000/470-time_c.csv rename to SurgeData/470-time_c.csv diff --git a/SurgeData/N=1000/470-time_w.csv b/SurgeData/470-time_w.csv similarity index 100% rename from SurgeData/N=1000/470-time_w.csv rename to SurgeData/470-time_w.csv diff --git a/SurgeData/N=1000/470-waterlevel_c.csv b/SurgeData/470-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/470-waterlevel_c.csv rename to SurgeData/470-waterlevel_c.csv diff --git a/SurgeData/N=1000/470-waterlevel_w.csv b/SurgeData/470-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/470-waterlevel_w.csv rename to SurgeData/470-waterlevel_w.csv diff --git a/SurgeData/471-num_storm.csv b/SurgeData/471-num_storm.csv new file mode 100644 index 00000000..8c7ca1af --- /dev/null +++ b/SurgeData/471-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,7.0 +2022,2.0,1.0 +2023,3.0,4.0 +2024,1.0,2.0 +2025,0.0,3.0 +2026,3.0,4.0 +2027,2.0,2.0 +2028,3.0,5.0 +2029,1.0,3.0 +2030,0.0,3.0 +2031,2.0,4.0 +2032,1.0,4.0 +2033,0.0,2.0 +2034,1.0,2.0 +2035,3.0,5.0 +2036,1.0,4.0 +2037,1.0,7.0 +2038,0.0,3.0 +2039,1.0,3.0 +2040,0.0,4.0 +2041,1.0,5.0 +2042,2.0,4.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,1.0,4.0 +2046,0.0,2.0 +2047,2.0,4.0 +2048,1.0,4.0 +2049,1.0,5.0 +2050,0.0,6.0 +2051,2.0,5.0 +2052,3.0,3.0 +2053,0.0,4.0 +2054,1.0,4.0 +2055,1.0,7.0 +2056,0.0,5.0 +2057,3.0,0.0 +2058,4.0,3.0 +2059,0.0,6.0 +2060,5.0,2.0 +2061,0.0,7.0 +2062,2.0,2.0 +2063,3.0,5.0 +2064,1.0,5.0 +2065,2.0,1.0 +2066,1.0,2.0 +2067,3.0,4.0 +2068,2.0,3.0 +2069,2.0,5.0 +2070,1.0,5.0 +2071,3.0,5.0 +2072,3.0,4.0 +2073,1.0,5.0 +2074,3.0,8.0 +2075,2.0,7.0 +2076,2.0,2.0 +2077,1.0,2.0 +2078,1.0,6.0 +2079,5.0,3.0 +2080,1.0,5.0 +2081,2.0,4.0 +2082,2.0,2.0 +2083,5.0,7.0 +2084,4.0,8.0 +2085,0.0,7.0 +2086,1.0,2.0 +2087,1.0,6.0 +2088,0.0,2.0 +2089,0.0,3.0 +2090,2.0,3.0 +2091,3.0,4.0 +2092,0.0,3.0 +2093,1.0,3.0 +2094,3.0,4.0 +2095,2.0,4.0 +2096,3.0,1.0 +2097,0.0,4.0 +2098,3.0,1.0 +2099,1.0,5.0 +2100,0.0,9.0 diff --git a/SurgeData/N=1000/471-peak+year_c.csv b/SurgeData/471-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/471-peak+year_c.csv rename to SurgeData/471-peak+year_c.csv diff --git a/SurgeData/N=1000/471-peak+year_w.csv b/SurgeData/471-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/471-peak+year_w.csv rename to SurgeData/471-peak+year_w.csv diff --git a/SurgeData/N=1000/471-peak_c.csv b/SurgeData/471-peak_c.csv similarity index 100% rename from SurgeData/N=1000/471-peak_c.csv rename to SurgeData/471-peak_c.csv diff --git a/SurgeData/N=1000/471-peak_w.csv b/SurgeData/471-peak_w.csv similarity index 100% rename from SurgeData/N=1000/471-peak_w.csv rename to SurgeData/471-peak_w.csv diff --git a/SurgeData/N=1000/471-surge_c.csv b/SurgeData/471-surge_c.csv similarity index 100% rename from SurgeData/N=1000/471-surge_c.csv rename to SurgeData/471-surge_c.csv diff --git a/SurgeData/N=1000/471-surge_w.csv b/SurgeData/471-surge_w.csv similarity index 100% rename from SurgeData/N=1000/471-surge_w.csv rename to SurgeData/471-surge_w.csv diff --git a/SurgeData/N=1000/471-time_c.csv b/SurgeData/471-time_c.csv similarity index 100% rename from SurgeData/N=1000/471-time_c.csv rename to SurgeData/471-time_c.csv diff --git a/SurgeData/N=1000/471-time_w.csv b/SurgeData/471-time_w.csv similarity index 100% rename from SurgeData/N=1000/471-time_w.csv rename to SurgeData/471-time_w.csv diff --git a/SurgeData/N=1000/471-waterlevel_c.csv b/SurgeData/471-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/471-waterlevel_c.csv rename to SurgeData/471-waterlevel_c.csv diff --git a/SurgeData/N=1000/471-waterlevel_w.csv b/SurgeData/471-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/471-waterlevel_w.csv rename to SurgeData/471-waterlevel_w.csv diff --git a/SurgeData/472-num_storm.csv b/SurgeData/472-num_storm.csv new file mode 100644 index 00000000..aed5bd6f --- /dev/null +++ b/SurgeData/472-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,2.0,8.0 +2022,2.0,2.0 +2023,4.0,2.0 +2024,1.0,3.0 +2025,3.0,3.0 +2026,4.0,3.0 +2027,0.0,2.0 +2028,3.0,3.0 +2029,2.0,2.0 +2030,1.0,6.0 +2031,0.0,0.0 +2032,0.0,5.0 +2033,3.0,2.0 +2034,0.0,8.0 +2035,3.0,5.0 +2036,0.0,2.0 +2037,2.0,4.0 +2038,1.0,3.0 +2039,2.0,1.0 +2040,5.0,5.0 +2041,1.0,3.0 +2042,2.0,4.0 +2043,1.0,4.0 +2044,1.0,2.0 +2045,1.0,5.0 +2046,2.0,4.0 +2047,0.0,9.0 +2048,2.0,5.0 +2049,3.0,4.0 +2050,4.0,4.0 +2051,2.0,1.0 +2052,1.0,6.0 +2053,1.0,7.0 +2054,1.0,3.0 +2055,2.0,2.0 +2056,1.0,4.0 +2057,2.0,3.0 +2058,1.0,4.0 +2059,0.0,3.0 +2060,3.0,1.0 +2061,2.0,4.0 +2062,2.0,3.0 +2063,1.0,2.0 +2064,2.0,4.0 +2065,4.0,4.0 +2066,2.0,2.0 +2067,2.0,3.0 +2068,1.0,8.0 +2069,0.0,4.0 +2070,2.0,3.0 +2071,0.0,2.0 +2072,1.0,2.0 +2073,1.0,7.0 +2074,1.0,1.0 +2075,2.0,4.0 +2076,1.0,1.0 +2077,1.0,1.0 +2078,2.0,3.0 +2079,1.0,2.0 +2080,0.0,4.0 +2081,2.0,0.0 +2082,2.0,8.0 +2083,1.0,3.0 +2084,1.0,6.0 +2085,3.0,4.0 +2086,4.0,8.0 +2087,0.0,8.0 +2088,1.0,5.0 +2089,3.0,2.0 +2090,2.0,9.0 +2091,2.0,6.0 +2092,3.0,6.0 +2093,1.0,3.0 +2094,1.0,9.0 +2095,0.0,2.0 +2096,2.0,3.0 +2097,1.0,2.0 +2098,3.0,4.0 +2099,1.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/472-peak+year_c.csv b/SurgeData/472-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/472-peak+year_c.csv rename to SurgeData/472-peak+year_c.csv diff --git a/SurgeData/N=1000/472-peak+year_w.csv b/SurgeData/472-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/472-peak+year_w.csv rename to SurgeData/472-peak+year_w.csv diff --git a/SurgeData/N=1000/472-peak_c.csv b/SurgeData/472-peak_c.csv similarity index 100% rename from SurgeData/N=1000/472-peak_c.csv rename to SurgeData/472-peak_c.csv diff --git a/SurgeData/N=1000/472-peak_w.csv b/SurgeData/472-peak_w.csv similarity index 100% rename from SurgeData/N=1000/472-peak_w.csv rename to SurgeData/472-peak_w.csv diff --git a/SurgeData/N=1000/472-surge_c.csv b/SurgeData/472-surge_c.csv similarity index 100% rename from SurgeData/N=1000/472-surge_c.csv rename to SurgeData/472-surge_c.csv diff --git a/SurgeData/N=1000/472-surge_w.csv b/SurgeData/472-surge_w.csv similarity index 100% rename from SurgeData/N=1000/472-surge_w.csv rename to SurgeData/472-surge_w.csv diff --git a/SurgeData/N=1000/472-time_c.csv b/SurgeData/472-time_c.csv similarity index 100% rename from SurgeData/N=1000/472-time_c.csv rename to SurgeData/472-time_c.csv diff --git a/SurgeData/N=1000/472-time_w.csv b/SurgeData/472-time_w.csv similarity index 100% rename from SurgeData/N=1000/472-time_w.csv rename to SurgeData/472-time_w.csv diff --git a/SurgeData/N=1000/472-waterlevel_c.csv b/SurgeData/472-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/472-waterlevel_c.csv rename to SurgeData/472-waterlevel_c.csv diff --git a/SurgeData/N=1000/472-waterlevel_w.csv b/SurgeData/472-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/472-waterlevel_w.csv rename to SurgeData/472-waterlevel_w.csv diff --git a/SurgeData/473-num_storm.csv b/SurgeData/473-num_storm.csv new file mode 100644 index 00000000..5239ceed --- /dev/null +++ b/SurgeData/473-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,1.0,4.0 +2023,1.0,2.0 +2024,0.0,1.0 +2025,2.0,4.0 +2026,4.0,2.0 +2027,3.0,6.0 +2028,2.0,3.0 +2029,1.0,5.0 +2030,2.0,4.0 +2031,3.0,4.0 +2032,2.0,5.0 +2033,0.0,1.0 +2034,1.0,3.0 +2035,2.0,7.0 +2036,0.0,6.0 +2037,3.0,3.0 +2038,0.0,8.0 +2039,0.0,9.0 +2040,1.0,6.0 +2041,0.0,4.0 +2042,2.0,3.0 +2043,2.0,2.0 +2044,2.0,5.0 +2045,2.0,5.0 +2046,0.0,4.0 +2047,3.0,6.0 +2048,0.0,5.0 +2049,1.0,0.0 +2050,3.0,9.0 +2051,3.0,3.0 +2052,2.0,4.0 +2053,1.0,4.0 +2054,1.0,8.0 +2055,2.0,7.0 +2056,3.0,2.0 +2057,2.0,5.0 +2058,2.0,6.0 +2059,0.0,6.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,1.0,7.0 +2063,0.0,1.0 +2064,0.0,2.0 +2065,3.0,4.0 +2066,1.0,4.0 +2067,2.0,1.0 +2068,3.0,2.0 +2069,1.0,9.0 +2070,4.0,1.0 +2071,2.0,4.0 +2072,1.0,3.0 +2073,0.0,7.0 +2074,0.0,6.0 +2075,0.0,5.0 +2076,1.0,4.0 +2077,1.0,2.0 +2078,1.0,6.0 +2079,2.0,5.0 +2080,1.0,2.0 +2081,1.0,5.0 +2082,2.0,5.0 +2083,1.0,4.0 +2084,0.0,6.0 +2085,7.0,6.0 +2086,2.0,0.0 +2087,3.0,6.0 +2088,2.0,6.0 +2089,0.0,5.0 +2090,1.0,7.0 +2091,3.0,1.0 +2092,1.0,1.0 +2093,0.0,4.0 +2094,0.0,2.0 +2095,0.0,4.0 +2096,1.0,3.0 +2097,1.0,8.0 +2098,0.0,4.0 +2099,1.0,3.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/473-peak+year_c.csv b/SurgeData/473-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/473-peak+year_c.csv rename to SurgeData/473-peak+year_c.csv diff --git a/SurgeData/N=1000/473-peak+year_w.csv b/SurgeData/473-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/473-peak+year_w.csv rename to SurgeData/473-peak+year_w.csv diff --git a/SurgeData/N=1000/473-peak_c.csv b/SurgeData/473-peak_c.csv similarity index 100% rename from SurgeData/N=1000/473-peak_c.csv rename to SurgeData/473-peak_c.csv diff --git a/SurgeData/N=1000/473-peak_w.csv b/SurgeData/473-peak_w.csv similarity index 100% rename from SurgeData/N=1000/473-peak_w.csv rename to SurgeData/473-peak_w.csv diff --git a/SurgeData/N=1000/473-surge_c.csv b/SurgeData/473-surge_c.csv similarity index 100% rename from SurgeData/N=1000/473-surge_c.csv rename to SurgeData/473-surge_c.csv diff --git a/SurgeData/N=1000/473-surge_w.csv b/SurgeData/473-surge_w.csv similarity index 100% rename from SurgeData/N=1000/473-surge_w.csv rename to SurgeData/473-surge_w.csv diff --git a/SurgeData/N=1000/473-time_c.csv b/SurgeData/473-time_c.csv similarity index 100% rename from SurgeData/N=1000/473-time_c.csv rename to SurgeData/473-time_c.csv diff --git a/SurgeData/N=1000/473-time_w.csv b/SurgeData/473-time_w.csv similarity index 100% rename from SurgeData/N=1000/473-time_w.csv rename to SurgeData/473-time_w.csv diff --git a/SurgeData/N=1000/473-waterlevel_c.csv b/SurgeData/473-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/473-waterlevel_c.csv rename to SurgeData/473-waterlevel_c.csv diff --git a/SurgeData/N=1000/473-waterlevel_w.csv b/SurgeData/473-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/473-waterlevel_w.csv rename to SurgeData/473-waterlevel_w.csv diff --git a/SurgeData/474-num_storm.csv b/SurgeData/474-num_storm.csv new file mode 100644 index 00000000..22c26c00 --- /dev/null +++ b/SurgeData/474-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,5.0 +2022,2.0,7.0 +2023,2.0,4.0 +2024,1.0,2.0 +2025,3.0,10.0 +2026,0.0,3.0 +2027,1.0,6.0 +2028,3.0,3.0 +2029,1.0,4.0 +2030,0.0,8.0 +2031,1.0,6.0 +2032,2.0,6.0 +2033,3.0,2.0 +2034,0.0,5.0 +2035,0.0,3.0 +2036,0.0,8.0 +2037,1.0,6.0 +2038,1.0,6.0 +2039,0.0,4.0 +2040,1.0,2.0 +2041,1.0,7.0 +2042,1.0,4.0 +2043,1.0,6.0 +2044,3.0,4.0 +2045,1.0,5.0 +2046,2.0,5.0 +2047,1.0,7.0 +2048,0.0,0.0 +2049,2.0,5.0 +2050,2.0,3.0 +2051,0.0,2.0 +2052,2.0,4.0 +2053,1.0,7.0 +2054,0.0,10.0 +2055,1.0,3.0 +2056,0.0,5.0 +2057,0.0,7.0 +2058,2.0,2.0 +2059,1.0,6.0 +2060,1.0,4.0 +2061,2.0,7.0 +2062,2.0,3.0 +2063,3.0,7.0 +2064,1.0,5.0 +2065,1.0,3.0 +2066,2.0,7.0 +2067,2.0,3.0 +2068,1.0,4.0 +2069,3.0,8.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,2.0,2.0 +2073,2.0,5.0 +2074,1.0,1.0 +2075,2.0,6.0 +2076,2.0,4.0 +2077,0.0,3.0 +2078,1.0,3.0 +2079,0.0,2.0 +2080,2.0,5.0 +2081,4.0,6.0 +2082,3.0,8.0 +2083,0.0,2.0 +2084,4.0,5.0 +2085,1.0,5.0 +2086,2.0,6.0 +2087,1.0,4.0 +2088,3.0,3.0 +2089,2.0,4.0 +2090,2.0,3.0 +2091,3.0,6.0 +2092,3.0,4.0 +2093,1.0,6.0 +2094,1.0,2.0 +2095,1.0,4.0 +2096,1.0,6.0 +2097,1.0,1.0 +2098,3.0,8.0 +2099,0.0,1.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/474-peak+year_c.csv b/SurgeData/474-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/474-peak+year_c.csv rename to SurgeData/474-peak+year_c.csv diff --git a/SurgeData/N=1000/474-peak+year_w.csv b/SurgeData/474-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/474-peak+year_w.csv rename to SurgeData/474-peak+year_w.csv diff --git a/SurgeData/N=1000/474-peak_c.csv b/SurgeData/474-peak_c.csv similarity index 100% rename from SurgeData/N=1000/474-peak_c.csv rename to SurgeData/474-peak_c.csv diff --git a/SurgeData/N=1000/474-peak_w.csv b/SurgeData/474-peak_w.csv similarity index 100% rename from SurgeData/N=1000/474-peak_w.csv rename to SurgeData/474-peak_w.csv diff --git a/SurgeData/N=1000/474-surge_c.csv b/SurgeData/474-surge_c.csv similarity index 100% rename from SurgeData/N=1000/474-surge_c.csv rename to SurgeData/474-surge_c.csv diff --git a/SurgeData/N=1000/474-surge_w.csv b/SurgeData/474-surge_w.csv similarity index 100% rename from SurgeData/N=1000/474-surge_w.csv rename to SurgeData/474-surge_w.csv diff --git a/SurgeData/N=1000/474-time_c.csv b/SurgeData/474-time_c.csv similarity index 100% rename from SurgeData/N=1000/474-time_c.csv rename to SurgeData/474-time_c.csv diff --git a/SurgeData/N=1000/474-time_w.csv b/SurgeData/474-time_w.csv similarity index 100% rename from SurgeData/N=1000/474-time_w.csv rename to SurgeData/474-time_w.csv diff --git a/SurgeData/N=1000/474-waterlevel_c.csv b/SurgeData/474-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/474-waterlevel_c.csv rename to SurgeData/474-waterlevel_c.csv diff --git a/SurgeData/N=1000/474-waterlevel_w.csv b/SurgeData/474-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/474-waterlevel_w.csv rename to SurgeData/474-waterlevel_w.csv diff --git a/SurgeData/475-num_storm.csv b/SurgeData/475-num_storm.csv new file mode 100644 index 00000000..a71f4153 --- /dev/null +++ b/SurgeData/475-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,7.0 +2022,0.0,6.0 +2023,0.0,7.0 +2024,3.0,1.0 +2025,1.0,4.0 +2026,3.0,2.0 +2027,0.0,4.0 +2028,0.0,5.0 +2029,4.0,3.0 +2030,0.0,2.0 +2031,1.0,2.0 +2032,2.0,5.0 +2033,2.0,7.0 +2034,2.0,4.0 +2035,1.0,4.0 +2036,0.0,3.0 +2037,1.0,1.0 +2038,1.0,1.0 +2039,0.0,6.0 +2040,1.0,2.0 +2041,1.0,6.0 +2042,5.0,7.0 +2043,1.0,4.0 +2044,1.0,1.0 +2045,2.0,5.0 +2046,2.0,4.0 +2047,1.0,2.0 +2048,3.0,4.0 +2049,0.0,4.0 +2050,0.0,4.0 +2051,4.0,8.0 +2052,3.0,4.0 +2053,3.0,2.0 +2054,2.0,2.0 +2055,2.0,1.0 +2056,0.0,5.0 +2057,1.0,7.0 +2058,1.0,5.0 +2059,3.0,5.0 +2060,0.0,6.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,2.0,5.0 +2064,2.0,4.0 +2065,2.0,5.0 +2066,2.0,6.0 +2067,0.0,4.0 +2068,2.0,5.0 +2069,0.0,7.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,2.0,1.0 +2073,1.0,6.0 +2074,2.0,1.0 +2075,0.0,1.0 +2076,0.0,3.0 +2077,0.0,4.0 +2078,1.0,5.0 +2079,0.0,6.0 +2080,4.0,4.0 +2081,3.0,1.0 +2082,1.0,7.0 +2083,2.0,6.0 +2084,3.0,0.0 +2085,0.0,3.0 +2086,0.0,6.0 +2087,1.0,1.0 +2088,3.0,3.0 +2089,6.0,2.0 +2090,1.0,4.0 +2091,4.0,5.0 +2092,3.0,2.0 +2093,2.0,2.0 +2094,2.0,5.0 +2095,3.0,6.0 +2096,1.0,3.0 +2097,2.0,5.0 +2098,3.0,3.0 +2099,1.0,2.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/475-peak+year_c.csv b/SurgeData/475-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/475-peak+year_c.csv rename to SurgeData/475-peak+year_c.csv diff --git a/SurgeData/N=1000/475-peak+year_w.csv b/SurgeData/475-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/475-peak+year_w.csv rename to SurgeData/475-peak+year_w.csv diff --git a/SurgeData/N=1000/475-peak_c.csv b/SurgeData/475-peak_c.csv similarity index 100% rename from SurgeData/N=1000/475-peak_c.csv rename to SurgeData/475-peak_c.csv diff --git a/SurgeData/N=1000/475-peak_w.csv b/SurgeData/475-peak_w.csv similarity index 100% rename from SurgeData/N=1000/475-peak_w.csv rename to SurgeData/475-peak_w.csv diff --git a/SurgeData/N=1000/475-surge_c.csv b/SurgeData/475-surge_c.csv similarity index 100% rename from SurgeData/N=1000/475-surge_c.csv rename to SurgeData/475-surge_c.csv diff --git a/SurgeData/N=1000/475-surge_w.csv b/SurgeData/475-surge_w.csv similarity index 100% rename from SurgeData/N=1000/475-surge_w.csv rename to SurgeData/475-surge_w.csv diff --git a/SurgeData/N=1000/475-time_c.csv b/SurgeData/475-time_c.csv similarity index 100% rename from SurgeData/N=1000/475-time_c.csv rename to SurgeData/475-time_c.csv diff --git a/SurgeData/N=1000/475-time_w.csv b/SurgeData/475-time_w.csv similarity index 100% rename from SurgeData/N=1000/475-time_w.csv rename to SurgeData/475-time_w.csv diff --git a/SurgeData/N=1000/475-waterlevel_c.csv b/SurgeData/475-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/475-waterlevel_c.csv rename to SurgeData/475-waterlevel_c.csv diff --git a/SurgeData/N=1000/475-waterlevel_w.csv b/SurgeData/475-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/475-waterlevel_w.csv rename to SurgeData/475-waterlevel_w.csv diff --git a/SurgeData/476-num_storm.csv b/SurgeData/476-num_storm.csv new file mode 100644 index 00000000..920ba768 --- /dev/null +++ b/SurgeData/476-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,5.0 +2022,3.0,7.0 +2023,1.0,1.0 +2024,0.0,3.0 +2025,3.0,3.0 +2026,2.0,2.0 +2027,3.0,6.0 +2028,0.0,7.0 +2029,0.0,2.0 +2030,3.0,2.0 +2031,2.0,7.0 +2032,1.0,3.0 +2033,1.0,5.0 +2034,2.0,2.0 +2035,0.0,5.0 +2036,0.0,3.0 +2037,1.0,2.0 +2038,2.0,3.0 +2039,5.0,3.0 +2040,3.0,4.0 +2041,4.0,5.0 +2042,0.0,3.0 +2043,0.0,4.0 +2044,0.0,6.0 +2045,5.0,1.0 +2046,1.0,4.0 +2047,1.0,7.0 +2048,3.0,5.0 +2049,0.0,3.0 +2050,1.0,6.0 +2051,2.0,2.0 +2052,2.0,4.0 +2053,1.0,2.0 +2054,3.0,4.0 +2055,2.0,3.0 +2056,2.0,6.0 +2057,2.0,2.0 +2058,0.0,5.0 +2059,3.0,4.0 +2060,2.0,3.0 +2061,1.0,3.0 +2062,4.0,3.0 +2063,1.0,5.0 +2064,0.0,7.0 +2065,3.0,5.0 +2066,2.0,3.0 +2067,2.0,6.0 +2068,1.0,2.0 +2069,0.0,6.0 +2070,1.0,5.0 +2071,1.0,4.0 +2072,1.0,5.0 +2073,0.0,1.0 +2074,3.0,5.0 +2075,2.0,5.0 +2076,2.0,2.0 +2077,1.0,3.0 +2078,3.0,1.0 +2079,1.0,8.0 +2080,1.0,2.0 +2081,2.0,1.0 +2082,1.0,4.0 +2083,1.0,1.0 +2084,2.0,3.0 +2085,0.0,5.0 +2086,2.0,5.0 +2087,0.0,1.0 +2088,2.0,7.0 +2089,0.0,2.0 +2090,1.0,5.0 +2091,3.0,5.0 +2092,2.0,5.0 +2093,1.0,4.0 +2094,1.0,5.0 +2095,0.0,4.0 +2096,0.0,4.0 +2097,2.0,4.0 +2098,1.0,5.0 +2099,1.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/476-peak+year_c.csv b/SurgeData/476-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/476-peak+year_c.csv rename to SurgeData/476-peak+year_c.csv diff --git a/SurgeData/N=1000/476-peak+year_w.csv b/SurgeData/476-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/476-peak+year_w.csv rename to SurgeData/476-peak+year_w.csv diff --git a/SurgeData/N=1000/476-peak_c.csv b/SurgeData/476-peak_c.csv similarity index 100% rename from SurgeData/N=1000/476-peak_c.csv rename to SurgeData/476-peak_c.csv diff --git a/SurgeData/N=1000/476-peak_w.csv b/SurgeData/476-peak_w.csv similarity index 100% rename from SurgeData/N=1000/476-peak_w.csv rename to SurgeData/476-peak_w.csv diff --git a/SurgeData/N=1000/476-surge_c.csv b/SurgeData/476-surge_c.csv similarity index 100% rename from SurgeData/N=1000/476-surge_c.csv rename to SurgeData/476-surge_c.csv diff --git a/SurgeData/N=1000/476-surge_w.csv b/SurgeData/476-surge_w.csv similarity index 100% rename from SurgeData/N=1000/476-surge_w.csv rename to SurgeData/476-surge_w.csv diff --git a/SurgeData/N=1000/476-time_c.csv b/SurgeData/476-time_c.csv similarity index 100% rename from SurgeData/N=1000/476-time_c.csv rename to SurgeData/476-time_c.csv diff --git a/SurgeData/N=1000/476-time_w.csv b/SurgeData/476-time_w.csv similarity index 100% rename from SurgeData/N=1000/476-time_w.csv rename to SurgeData/476-time_w.csv diff --git a/SurgeData/N=1000/476-waterlevel_c.csv b/SurgeData/476-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/476-waterlevel_c.csv rename to SurgeData/476-waterlevel_c.csv diff --git a/SurgeData/N=1000/476-waterlevel_w.csv b/SurgeData/476-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/476-waterlevel_w.csv rename to SurgeData/476-waterlevel_w.csv diff --git a/SurgeData/N=1000/477-peak+year_c.csv b/SurgeData/477-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/477-peak+year_c.csv rename to SurgeData/477-peak+year_c.csv diff --git a/SurgeData/N=1000/477-peak+year_w.csv b/SurgeData/477-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/477-peak+year_w.csv rename to SurgeData/477-peak+year_w.csv diff --git a/SurgeData/N=1000/477-peak_c.csv b/SurgeData/477-peak_c.csv similarity index 100% rename from SurgeData/N=1000/477-peak_c.csv rename to SurgeData/477-peak_c.csv diff --git a/SurgeData/N=1000/477-peak_w.csv b/SurgeData/477-peak_w.csv similarity index 100% rename from SurgeData/N=1000/477-peak_w.csv rename to SurgeData/477-peak_w.csv diff --git a/SurgeData/N=1000/477-surge_c.csv b/SurgeData/477-surge_c.csv similarity index 100% rename from SurgeData/N=1000/477-surge_c.csv rename to SurgeData/477-surge_c.csv diff --git a/SurgeData/N=1000/477-surge_w.csv b/SurgeData/477-surge_w.csv similarity index 100% rename from SurgeData/N=1000/477-surge_w.csv rename to SurgeData/477-surge_w.csv diff --git a/SurgeData/N=1000/477-time_c.csv b/SurgeData/477-time_c.csv similarity index 100% rename from SurgeData/N=1000/477-time_c.csv rename to SurgeData/477-time_c.csv diff --git a/SurgeData/N=1000/477-time_w.csv b/SurgeData/477-time_w.csv similarity index 100% rename from SurgeData/N=1000/477-time_w.csv rename to SurgeData/477-time_w.csv diff --git a/SurgeData/N=1000/477-waterlevel_c.csv b/SurgeData/477-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/477-waterlevel_c.csv rename to SurgeData/477-waterlevel_c.csv diff --git a/SurgeData/N=1000/477-waterlevel_w.csv b/SurgeData/477-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/477-waterlevel_w.csv rename to SurgeData/477-waterlevel_w.csv diff --git a/SurgeData/478-num_storm.csv b/SurgeData/478-num_storm.csv new file mode 100644 index 00000000..70b8c72b --- /dev/null +++ b/SurgeData/478-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,2.0 +2022,1.0,4.0 +2023,0.0,5.0 +2024,1.0,3.0 +2025,2.0,4.0 +2026,1.0,3.0 +2027,0.0,3.0 +2028,0.0,3.0 +2029,0.0,5.0 +2030,0.0,3.0 +2031,2.0,3.0 +2032,1.0,2.0 +2033,3.0,5.0 +2034,1.0,5.0 +2035,1.0,3.0 +2036,1.0,5.0 +2037,1.0,5.0 +2038,1.0,6.0 +2039,4.0,4.0 +2040,0.0,3.0 +2041,2.0,1.0 +2042,0.0,2.0 +2043,0.0,5.0 +2044,3.0,11.0 +2045,3.0,1.0 +2046,0.0,4.0 +2047,1.0,6.0 +2048,3.0,5.0 +2049,1.0,1.0 +2050,1.0,1.0 +2051,0.0,2.0 +2052,0.0,3.0 +2053,3.0,1.0 +2054,3.0,2.0 +2055,2.0,1.0 +2056,4.0,3.0 +2057,0.0,6.0 +2058,4.0,8.0 +2059,1.0,2.0 +2060,1.0,7.0 +2061,1.0,5.0 +2062,5.0,4.0 +2063,4.0,3.0 +2064,1.0,2.0 +2065,1.0,4.0 +2066,1.0,6.0 +2067,3.0,4.0 +2068,0.0,4.0 +2069,2.0,5.0 +2070,1.0,2.0 +2071,2.0,6.0 +2072,1.0,3.0 +2073,0.0,9.0 +2074,2.0,4.0 +2075,2.0,6.0 +2076,0.0,3.0 +2077,2.0,2.0 +2078,0.0,5.0 +2079,0.0,6.0 +2080,0.0,5.0 +2081,1.0,2.0 +2082,2.0,2.0 +2083,3.0,2.0 +2084,3.0,4.0 +2085,0.0,1.0 +2086,2.0,4.0 +2087,4.0,7.0 +2088,5.0,3.0 +2089,1.0,2.0 +2090,3.0,2.0 +2091,1.0,2.0 +2092,0.0,4.0 +2093,0.0,6.0 +2094,0.0,6.0 +2095,1.0,1.0 +2096,4.0,3.0 +2097,2.0,6.0 +2098,0.0,2.0 +2099,1.0,5.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/478-peak+year_c.csv b/SurgeData/478-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/478-peak+year_c.csv rename to SurgeData/478-peak+year_c.csv diff --git a/SurgeData/N=1000/478-peak+year_w.csv b/SurgeData/478-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/478-peak+year_w.csv rename to SurgeData/478-peak+year_w.csv diff --git a/SurgeData/N=1000/478-peak_c.csv b/SurgeData/478-peak_c.csv similarity index 100% rename from SurgeData/N=1000/478-peak_c.csv rename to SurgeData/478-peak_c.csv diff --git a/SurgeData/N=1000/478-peak_w.csv b/SurgeData/478-peak_w.csv similarity index 100% rename from SurgeData/N=1000/478-peak_w.csv rename to SurgeData/478-peak_w.csv diff --git a/SurgeData/N=1000/478-surge_c.csv b/SurgeData/478-surge_c.csv similarity index 100% rename from SurgeData/N=1000/478-surge_c.csv rename to SurgeData/478-surge_c.csv diff --git a/SurgeData/N=1000/478-surge_w.csv b/SurgeData/478-surge_w.csv similarity index 100% rename from SurgeData/N=1000/478-surge_w.csv rename to SurgeData/478-surge_w.csv diff --git a/SurgeData/N=1000/478-time_c.csv b/SurgeData/478-time_c.csv similarity index 100% rename from SurgeData/N=1000/478-time_c.csv rename to SurgeData/478-time_c.csv diff --git a/SurgeData/N=1000/478-time_w.csv b/SurgeData/478-time_w.csv similarity index 100% rename from SurgeData/N=1000/478-time_w.csv rename to SurgeData/478-time_w.csv diff --git a/SurgeData/N=1000/478-waterlevel_c.csv b/SurgeData/478-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/478-waterlevel_c.csv rename to SurgeData/478-waterlevel_c.csv diff --git a/SurgeData/N=1000/478-waterlevel_w.csv b/SurgeData/478-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/478-waterlevel_w.csv rename to SurgeData/478-waterlevel_w.csv diff --git a/SurgeData/479-num_storm.csv b/SurgeData/479-num_storm.csv new file mode 100644 index 00000000..3a9ed349 --- /dev/null +++ b/SurgeData/479-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,4.0 +2022,1.0,3.0 +2023,2.0,6.0 +2024,2.0,6.0 +2025,1.0,5.0 +2026,1.0,4.0 +2027,4.0,3.0 +2028,5.0,8.0 +2029,1.0,5.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,2.0,6.0 +2033,0.0,8.0 +2034,2.0,3.0 +2035,1.0,3.0 +2036,2.0,2.0 +2037,4.0,5.0 +2038,2.0,4.0 +2039,4.0,5.0 +2040,1.0,2.0 +2041,2.0,6.0 +2042,0.0,3.0 +2043,0.0,2.0 +2044,0.0,5.0 +2045,2.0,4.0 +2046,1.0,2.0 +2047,0.0,6.0 +2048,1.0,4.0 +2049,2.0,4.0 +2050,0.0,1.0 +2051,1.0,6.0 +2052,1.0,3.0 +2053,2.0,1.0 +2054,1.0,2.0 +2055,5.0,2.0 +2056,1.0,4.0 +2057,1.0,8.0 +2058,0.0,4.0 +2059,3.0,3.0 +2060,2.0,9.0 +2061,0.0,4.0 +2062,1.0,5.0 +2063,1.0,3.0 +2064,4.0,5.0 +2065,2.0,3.0 +2066,0.0,3.0 +2067,2.0,5.0 +2068,1.0,2.0 +2069,0.0,2.0 +2070,0.0,2.0 +2071,3.0,6.0 +2072,1.0,5.0 +2073,0.0,3.0 +2074,2.0,6.0 +2075,1.0,4.0 +2076,1.0,0.0 +2077,3.0,3.0 +2078,4.0,6.0 +2079,0.0,5.0 +2080,1.0,6.0 +2081,1.0,6.0 +2082,2.0,4.0 +2083,2.0,2.0 +2084,2.0,4.0 +2085,2.0,4.0 +2086,2.0,3.0 +2087,2.0,7.0 +2088,1.0,3.0 +2089,1.0,4.0 +2090,2.0,1.0 +2091,3.0,3.0 +2092,4.0,6.0 +2093,0.0,5.0 +2094,1.0,4.0 +2095,1.0,4.0 +2096,2.0,6.0 +2097,1.0,5.0 +2098,0.0,4.0 +2099,1.0,7.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/479-peak+year_c.csv b/SurgeData/479-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/479-peak+year_c.csv rename to SurgeData/479-peak+year_c.csv diff --git a/SurgeData/N=1000/479-peak+year_w.csv b/SurgeData/479-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/479-peak+year_w.csv rename to SurgeData/479-peak+year_w.csv diff --git a/SurgeData/N=1000/479-peak_c.csv b/SurgeData/479-peak_c.csv similarity index 100% rename from SurgeData/N=1000/479-peak_c.csv rename to SurgeData/479-peak_c.csv diff --git a/SurgeData/N=1000/479-peak_w.csv b/SurgeData/479-peak_w.csv similarity index 100% rename from SurgeData/N=1000/479-peak_w.csv rename to SurgeData/479-peak_w.csv diff --git a/SurgeData/N=1000/479-surge_c.csv b/SurgeData/479-surge_c.csv similarity index 100% rename from SurgeData/N=1000/479-surge_c.csv rename to SurgeData/479-surge_c.csv diff --git a/SurgeData/N=1000/479-surge_w.csv b/SurgeData/479-surge_w.csv similarity index 100% rename from SurgeData/N=1000/479-surge_w.csv rename to SurgeData/479-surge_w.csv diff --git a/SurgeData/N=1000/479-time_c.csv b/SurgeData/479-time_c.csv similarity index 100% rename from SurgeData/N=1000/479-time_c.csv rename to SurgeData/479-time_c.csv diff --git a/SurgeData/N=1000/479-time_w.csv b/SurgeData/479-time_w.csv similarity index 100% rename from SurgeData/N=1000/479-time_w.csv rename to SurgeData/479-time_w.csv diff --git a/SurgeData/N=1000/479-waterlevel_c.csv b/SurgeData/479-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/479-waterlevel_c.csv rename to SurgeData/479-waterlevel_c.csv diff --git a/SurgeData/N=1000/479-waterlevel_w.csv b/SurgeData/479-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/479-waterlevel_w.csv rename to SurgeData/479-waterlevel_w.csv diff --git a/SurgeData/48-num_storm.csv b/SurgeData/48-num_storm.csv new file mode 100644 index 00000000..364602e0 --- /dev/null +++ b/SurgeData/48-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,3.0,2.0 +2022,2.0,5.0 +2023,1.0,3.0 +2024,0.0,3.0 +2025,1.0,2.0 +2026,0.0,3.0 +2027,0.0,8.0 +2028,0.0,5.0 +2029,0.0,4.0 +2030,0.0,8.0 +2031,2.0,4.0 +2032,5.0,4.0 +2033,2.0,5.0 +2034,2.0,2.0 +2035,0.0,7.0 +2036,1.0,2.0 +2037,2.0,3.0 +2038,2.0,5.0 +2039,2.0,4.0 +2040,1.0,6.0 +2041,0.0,5.0 +2042,3.0,3.0 +2043,2.0,7.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,0.0,4.0 +2047,2.0,2.0 +2048,1.0,6.0 +2049,4.0,4.0 +2050,3.0,5.0 +2051,1.0,9.0 +2052,2.0,6.0 +2053,1.0,3.0 +2054,0.0,3.0 +2055,0.0,3.0 +2056,1.0,9.0 +2057,5.0,3.0 +2058,1.0,5.0 +2059,2.0,5.0 +2060,0.0,3.0 +2061,1.0,3.0 +2062,2.0,7.0 +2063,2.0,1.0 +2064,0.0,5.0 +2065,3.0,4.0 +2066,2.0,3.0 +2067,1.0,2.0 +2068,0.0,4.0 +2069,1.0,3.0 +2070,0.0,1.0 +2071,3.0,2.0 +2072,0.0,6.0 +2073,2.0,4.0 +2074,1.0,4.0 +2075,1.0,4.0 +2076,2.0,4.0 +2077,2.0,4.0 +2078,1.0,0.0 +2079,0.0,5.0 +2080,0.0,5.0 +2081,1.0,1.0 +2082,0.0,2.0 +2083,1.0,4.0 +2084,3.0,9.0 +2085,0.0,5.0 +2086,2.0,3.0 +2087,1.0,3.0 +2088,1.0,5.0 +2089,2.0,1.0 +2090,5.0,5.0 +2091,2.0,3.0 +2092,2.0,7.0 +2093,2.0,4.0 +2094,0.0,2.0 +2095,2.0,3.0 +2096,2.0,8.0 +2097,1.0,3.0 +2098,1.0,2.0 +2099,1.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/48-peak+year_c.csv b/SurgeData/48-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/48-peak+year_c.csv rename to SurgeData/48-peak+year_c.csv diff --git a/SurgeData/N=1000/48-peak+year_w.csv b/SurgeData/48-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/48-peak+year_w.csv rename to SurgeData/48-peak+year_w.csv diff --git a/SurgeData/N=1000/48-peak_c.csv b/SurgeData/48-peak_c.csv similarity index 100% rename from SurgeData/N=1000/48-peak_c.csv rename to SurgeData/48-peak_c.csv diff --git a/SurgeData/N=1000/48-peak_w.csv b/SurgeData/48-peak_w.csv similarity index 100% rename from SurgeData/N=1000/48-peak_w.csv rename to SurgeData/48-peak_w.csv diff --git a/SurgeData/N=1000/48-surge_c.csv b/SurgeData/48-surge_c.csv similarity index 100% rename from SurgeData/N=1000/48-surge_c.csv rename to SurgeData/48-surge_c.csv diff --git a/SurgeData/N=1000/48-surge_w.csv b/SurgeData/48-surge_w.csv similarity index 100% rename from SurgeData/N=1000/48-surge_w.csv rename to SurgeData/48-surge_w.csv diff --git a/SurgeData/N=1000/48-time_c.csv b/SurgeData/48-time_c.csv similarity index 100% rename from SurgeData/N=1000/48-time_c.csv rename to SurgeData/48-time_c.csv diff --git a/SurgeData/N=1000/48-time_w.csv b/SurgeData/48-time_w.csv similarity index 100% rename from SurgeData/N=1000/48-time_w.csv rename to SurgeData/48-time_w.csv diff --git a/SurgeData/N=1000/48-waterlevel_c.csv b/SurgeData/48-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/48-waterlevel_c.csv rename to SurgeData/48-waterlevel_c.csv diff --git a/SurgeData/N=1000/48-waterlevel_w.csv b/SurgeData/48-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/48-waterlevel_w.csv rename to SurgeData/48-waterlevel_w.csv diff --git a/SurgeData/480-num_storm.csv b/SurgeData/480-num_storm.csv new file mode 100644 index 00000000..1d67c071 --- /dev/null +++ b/SurgeData/480-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,6.0 +2022,0.0,6.0 +2023,4.0,5.0 +2024,0.0,5.0 +2025,1.0,4.0 +2026,1.0,6.0 +2027,1.0,2.0 +2028,1.0,1.0 +2029,1.0,0.0 +2030,0.0,2.0 +2031,3.0,3.0 +2032,0.0,3.0 +2033,1.0,8.0 +2034,1.0,7.0 +2035,2.0,0.0 +2036,3.0,2.0 +2037,2.0,5.0 +2038,1.0,4.0 +2039,2.0,7.0 +2040,2.0,2.0 +2041,1.0,1.0 +2042,2.0,5.0 +2043,2.0,6.0 +2044,3.0,4.0 +2045,2.0,2.0 +2046,0.0,3.0 +2047,6.0,4.0 +2048,1.0,3.0 +2049,0.0,8.0 +2050,2.0,5.0 +2051,1.0,4.0 +2052,2.0,4.0 +2053,1.0,6.0 +2054,5.0,3.0 +2055,1.0,2.0 +2056,3.0,6.0 +2057,3.0,8.0 +2058,1.0,2.0 +2059,6.0,5.0 +2060,1.0,3.0 +2061,1.0,0.0 +2062,0.0,2.0 +2063,0.0,5.0 +2064,0.0,1.0 +2065,1.0,3.0 +2066,0.0,4.0 +2067,2.0,5.0 +2068,1.0,2.0 +2069,3.0,3.0 +2070,2.0,6.0 +2071,0.0,9.0 +2072,3.0,6.0 +2073,3.0,3.0 +2074,2.0,4.0 +2075,4.0,7.0 +2076,0.0,3.0 +2077,0.0,4.0 +2078,1.0,5.0 +2079,1.0,5.0 +2080,1.0,5.0 +2081,2.0,6.0 +2082,1.0,6.0 +2083,2.0,5.0 +2084,0.0,3.0 +2085,2.0,4.0 +2086,0.0,4.0 +2087,0.0,6.0 +2088,2.0,3.0 +2089,1.0,6.0 +2090,4.0,3.0 +2091,1.0,3.0 +2092,2.0,5.0 +2093,4.0,3.0 +2094,1.0,4.0 +2095,1.0,6.0 +2096,0.0,6.0 +2097,0.0,5.0 +2098,3.0,8.0 +2099,3.0,7.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/480-peak+year_c.csv b/SurgeData/480-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/480-peak+year_c.csv rename to SurgeData/480-peak+year_c.csv diff --git a/SurgeData/N=1000/480-peak+year_w.csv b/SurgeData/480-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/480-peak+year_w.csv rename to SurgeData/480-peak+year_w.csv diff --git a/SurgeData/N=1000/480-peak_c.csv b/SurgeData/480-peak_c.csv similarity index 100% rename from SurgeData/N=1000/480-peak_c.csv rename to SurgeData/480-peak_c.csv diff --git a/SurgeData/N=1000/480-peak_w.csv b/SurgeData/480-peak_w.csv similarity index 100% rename from SurgeData/N=1000/480-peak_w.csv rename to SurgeData/480-peak_w.csv diff --git a/SurgeData/N=1000/480-surge_c.csv b/SurgeData/480-surge_c.csv similarity index 100% rename from SurgeData/N=1000/480-surge_c.csv rename to SurgeData/480-surge_c.csv diff --git a/SurgeData/N=1000/480-surge_w.csv b/SurgeData/480-surge_w.csv similarity index 100% rename from SurgeData/N=1000/480-surge_w.csv rename to SurgeData/480-surge_w.csv diff --git a/SurgeData/N=1000/480-time_c.csv b/SurgeData/480-time_c.csv similarity index 100% rename from SurgeData/N=1000/480-time_c.csv rename to SurgeData/480-time_c.csv diff --git a/SurgeData/N=1000/480-time_w.csv b/SurgeData/480-time_w.csv similarity index 100% rename from SurgeData/N=1000/480-time_w.csv rename to SurgeData/480-time_w.csv diff --git a/SurgeData/N=1000/480-waterlevel_c.csv b/SurgeData/480-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/480-waterlevel_c.csv rename to SurgeData/480-waterlevel_c.csv diff --git a/SurgeData/N=1000/480-waterlevel_w.csv b/SurgeData/480-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/480-waterlevel_w.csv rename to SurgeData/480-waterlevel_w.csv diff --git a/SurgeData/481-num_storm.csv b/SurgeData/481-num_storm.csv new file mode 100644 index 00000000..14f615f9 --- /dev/null +++ b/SurgeData/481-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,0.0,0.0 +2023,0.0,5.0 +2024,0.0,3.0 +2025,2.0,6.0 +2026,2.0,4.0 +2027,1.0,5.0 +2028,3.0,3.0 +2029,3.0,3.0 +2030,1.0,7.0 +2031,1.0,6.0 +2032,2.0,2.0 +2033,3.0,6.0 +2034,3.0,4.0 +2035,2.0,4.0 +2036,1.0,3.0 +2037,2.0,6.0 +2038,0.0,1.0 +2039,4.0,6.0 +2040,1.0,3.0 +2041,1.0,4.0 +2042,0.0,5.0 +2043,1.0,7.0 +2044,3.0,4.0 +2045,2.0,4.0 +2046,0.0,1.0 +2047,0.0,4.0 +2048,0.0,8.0 +2049,2.0,4.0 +2050,1.0,3.0 +2051,0.0,6.0 +2052,2.0,6.0 +2053,5.0,4.0 +2054,1.0,4.0 +2055,0.0,3.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,2.0,6.0 +2059,2.0,7.0 +2060,2.0,5.0 +2061,2.0,8.0 +2062,1.0,3.0 +2063,0.0,1.0 +2064,2.0,5.0 +2065,1.0,4.0 +2066,2.0,5.0 +2067,0.0,5.0 +2068,1.0,2.0 +2069,1.0,3.0 +2070,1.0,1.0 +2071,2.0,9.0 +2072,5.0,6.0 +2073,0.0,2.0 +2074,1.0,5.0 +2075,2.0,4.0 +2076,1.0,4.0 +2077,3.0,4.0 +2078,1.0,4.0 +2079,2.0,7.0 +2080,1.0,0.0 +2081,2.0,5.0 +2082,2.0,5.0 +2083,5.0,2.0 +2084,4.0,4.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,1.0,4.0 +2088,2.0,6.0 +2089,0.0,4.0 +2090,1.0,4.0 +2091,1.0,5.0 +2092,2.0,6.0 +2093,0.0,3.0 +2094,1.0,2.0 +2095,0.0,7.0 +2096,0.0,3.0 +2097,0.0,6.0 +2098,2.0,3.0 +2099,6.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/481-peak+year_c.csv b/SurgeData/481-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/481-peak+year_c.csv rename to SurgeData/481-peak+year_c.csv diff --git a/SurgeData/N=1000/481-peak+year_w.csv b/SurgeData/481-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/481-peak+year_w.csv rename to SurgeData/481-peak+year_w.csv diff --git a/SurgeData/N=1000/481-peak_c.csv b/SurgeData/481-peak_c.csv similarity index 100% rename from SurgeData/N=1000/481-peak_c.csv rename to SurgeData/481-peak_c.csv diff --git a/SurgeData/N=1000/481-peak_w.csv b/SurgeData/481-peak_w.csv similarity index 100% rename from SurgeData/N=1000/481-peak_w.csv rename to SurgeData/481-peak_w.csv diff --git a/SurgeData/N=1000/481-surge_c.csv b/SurgeData/481-surge_c.csv similarity index 100% rename from SurgeData/N=1000/481-surge_c.csv rename to SurgeData/481-surge_c.csv diff --git a/SurgeData/N=1000/481-surge_w.csv b/SurgeData/481-surge_w.csv similarity index 100% rename from SurgeData/N=1000/481-surge_w.csv rename to SurgeData/481-surge_w.csv diff --git a/SurgeData/N=1000/481-time_c.csv b/SurgeData/481-time_c.csv similarity index 100% rename from SurgeData/N=1000/481-time_c.csv rename to SurgeData/481-time_c.csv diff --git a/SurgeData/N=1000/481-time_w.csv b/SurgeData/481-time_w.csv similarity index 100% rename from SurgeData/N=1000/481-time_w.csv rename to SurgeData/481-time_w.csv diff --git a/SurgeData/N=1000/481-waterlevel_c.csv b/SurgeData/481-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/481-waterlevel_c.csv rename to SurgeData/481-waterlevel_c.csv diff --git a/SurgeData/N=1000/481-waterlevel_w.csv b/SurgeData/481-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/481-waterlevel_w.csv rename to SurgeData/481-waterlevel_w.csv diff --git a/SurgeData/482-num_storm.csv b/SurgeData/482-num_storm.csv new file mode 100644 index 00000000..74547ea6 --- /dev/null +++ b/SurgeData/482-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,3.0,1.0 +2022,1.0,5.0 +2023,1.0,5.0 +2024,1.0,1.0 +2025,2.0,5.0 +2026,0.0,6.0 +2027,5.0,6.0 +2028,1.0,8.0 +2029,1.0,5.0 +2030,1.0,8.0 +2031,1.0,0.0 +2032,0.0,1.0 +2033,1.0,8.0 +2034,5.0,2.0 +2035,3.0,4.0 +2036,3.0,5.0 +2037,4.0,3.0 +2038,4.0,6.0 +2039,1.0,4.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,0.0,4.0 +2043,0.0,5.0 +2044,1.0,0.0 +2045,2.0,1.0 +2046,1.0,3.0 +2047,2.0,6.0 +2048,0.0,3.0 +2049,0.0,4.0 +2050,0.0,2.0 +2051,0.0,2.0 +2052,0.0,5.0 +2053,0.0,1.0 +2054,0.0,5.0 +2055,1.0,6.0 +2056,2.0,6.0 +2057,2.0,7.0 +2058,2.0,4.0 +2059,1.0,5.0 +2060,2.0,4.0 +2061,0.0,3.0 +2062,0.0,4.0 +2063,0.0,6.0 +2064,2.0,3.0 +2065,1.0,5.0 +2066,5.0,1.0 +2067,3.0,6.0 +2068,2.0,4.0 +2069,0.0,2.0 +2070,3.0,6.0 +2071,3.0,4.0 +2072,3.0,5.0 +2073,2.0,8.0 +2074,0.0,2.0 +2075,0.0,3.0 +2076,1.0,2.0 +2077,2.0,3.0 +2078,3.0,5.0 +2079,1.0,4.0 +2080,0.0,2.0 +2081,2.0,6.0 +2082,0.0,8.0 +2083,0.0,3.0 +2084,1.0,4.0 +2085,0.0,2.0 +2086,1.0,5.0 +2087,0.0,5.0 +2088,1.0,4.0 +2089,0.0,5.0 +2090,4.0,5.0 +2091,3.0,3.0 +2092,0.0,2.0 +2093,1.0,7.0 +2094,3.0,10.0 +2095,3.0,6.0 +2096,1.0,5.0 +2097,1.0,6.0 +2098,2.0,2.0 +2099,3.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/482-peak+year_c.csv b/SurgeData/482-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/482-peak+year_c.csv rename to SurgeData/482-peak+year_c.csv diff --git a/SurgeData/N=1000/482-peak+year_w.csv b/SurgeData/482-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/482-peak+year_w.csv rename to SurgeData/482-peak+year_w.csv diff --git a/SurgeData/N=1000/482-peak_c.csv b/SurgeData/482-peak_c.csv similarity index 100% rename from SurgeData/N=1000/482-peak_c.csv rename to SurgeData/482-peak_c.csv diff --git a/SurgeData/N=1000/482-peak_w.csv b/SurgeData/482-peak_w.csv similarity index 100% rename from SurgeData/N=1000/482-peak_w.csv rename to SurgeData/482-peak_w.csv diff --git a/SurgeData/N=1000/482-surge_c.csv b/SurgeData/482-surge_c.csv similarity index 100% rename from SurgeData/N=1000/482-surge_c.csv rename to SurgeData/482-surge_c.csv diff --git a/SurgeData/N=1000/482-surge_w.csv b/SurgeData/482-surge_w.csv similarity index 100% rename from SurgeData/N=1000/482-surge_w.csv rename to SurgeData/482-surge_w.csv diff --git a/SurgeData/N=1000/482-time_c.csv b/SurgeData/482-time_c.csv similarity index 100% rename from SurgeData/N=1000/482-time_c.csv rename to SurgeData/482-time_c.csv diff --git a/SurgeData/N=1000/482-time_w.csv b/SurgeData/482-time_w.csv similarity index 100% rename from SurgeData/N=1000/482-time_w.csv rename to SurgeData/482-time_w.csv diff --git a/SurgeData/N=1000/482-waterlevel_c.csv b/SurgeData/482-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/482-waterlevel_c.csv rename to SurgeData/482-waterlevel_c.csv diff --git a/SurgeData/N=1000/482-waterlevel_w.csv b/SurgeData/482-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/482-waterlevel_w.csv rename to SurgeData/482-waterlevel_w.csv diff --git a/SurgeData/483-num_storm.csv b/SurgeData/483-num_storm.csv new file mode 100644 index 00000000..aad265fe --- /dev/null +++ b/SurgeData/483-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,4.0 +2022,1.0,3.0 +2023,1.0,2.0 +2024,0.0,2.0 +2025,3.0,10.0 +2026,2.0,3.0 +2027,2.0,6.0 +2028,0.0,3.0 +2029,0.0,3.0 +2030,0.0,6.0 +2031,1.0,3.0 +2032,1.0,3.0 +2033,3.0,5.0 +2034,2.0,4.0 +2035,3.0,7.0 +2036,2.0,1.0 +2037,4.0,3.0 +2038,1.0,7.0 +2039,0.0,1.0 +2040,2.0,3.0 +2041,0.0,5.0 +2042,0.0,3.0 +2043,2.0,4.0 +2044,0.0,4.0 +2045,1.0,5.0 +2046,1.0,4.0 +2047,2.0,6.0 +2048,0.0,4.0 +2049,1.0,5.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,1.0,5.0 +2053,0.0,8.0 +2054,1.0,1.0 +2055,1.0,2.0 +2056,0.0,2.0 +2057,0.0,4.0 +2058,3.0,6.0 +2059,2.0,2.0 +2060,2.0,4.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,1.0,1.0 +2064,1.0,5.0 +2065,3.0,3.0 +2066,1.0,3.0 +2067,3.0,5.0 +2068,0.0,3.0 +2069,1.0,3.0 +2070,1.0,4.0 +2071,1.0,3.0 +2072,0.0,10.0 +2073,1.0,3.0 +2074,0.0,7.0 +2075,0.0,3.0 +2076,3.0,4.0 +2077,3.0,3.0 +2078,3.0,3.0 +2079,0.0,4.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,2.0,7.0 +2083,1.0,6.0 +2084,1.0,5.0 +2085,1.0,1.0 +2086,1.0,6.0 +2087,0.0,2.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,3.0,3.0 +2091,0.0,5.0 +2092,1.0,5.0 +2093,1.0,3.0 +2094,4.0,8.0 +2095,1.0,7.0 +2096,2.0,3.0 +2097,4.0,4.0 +2098,1.0,4.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/483-peak+year_c.csv b/SurgeData/483-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/483-peak+year_c.csv rename to SurgeData/483-peak+year_c.csv diff --git a/SurgeData/N=1000/483-peak+year_w.csv b/SurgeData/483-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/483-peak+year_w.csv rename to SurgeData/483-peak+year_w.csv diff --git a/SurgeData/N=1000/483-peak_c.csv b/SurgeData/483-peak_c.csv similarity index 100% rename from SurgeData/N=1000/483-peak_c.csv rename to SurgeData/483-peak_c.csv diff --git a/SurgeData/N=1000/483-peak_w.csv b/SurgeData/483-peak_w.csv similarity index 100% rename from SurgeData/N=1000/483-peak_w.csv rename to SurgeData/483-peak_w.csv diff --git a/SurgeData/N=1000/483-surge_c.csv b/SurgeData/483-surge_c.csv similarity index 100% rename from SurgeData/N=1000/483-surge_c.csv rename to SurgeData/483-surge_c.csv diff --git a/SurgeData/N=1000/483-surge_w.csv b/SurgeData/483-surge_w.csv similarity index 100% rename from SurgeData/N=1000/483-surge_w.csv rename to SurgeData/483-surge_w.csv diff --git a/SurgeData/N=1000/483-time_c.csv b/SurgeData/483-time_c.csv similarity index 100% rename from SurgeData/N=1000/483-time_c.csv rename to SurgeData/483-time_c.csv diff --git a/SurgeData/N=1000/483-time_w.csv b/SurgeData/483-time_w.csv similarity index 100% rename from SurgeData/N=1000/483-time_w.csv rename to SurgeData/483-time_w.csv diff --git a/SurgeData/N=1000/483-waterlevel_c.csv b/SurgeData/483-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/483-waterlevel_c.csv rename to SurgeData/483-waterlevel_c.csv diff --git a/SurgeData/N=1000/483-waterlevel_w.csv b/SurgeData/483-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/483-waterlevel_w.csv rename to SurgeData/483-waterlevel_w.csv diff --git a/SurgeData/484-num_storm.csv b/SurgeData/484-num_storm.csv new file mode 100644 index 00000000..a8e1f2ed --- /dev/null +++ b/SurgeData/484-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,5.0 +2022,2.0,4.0 +2023,4.0,12.0 +2024,1.0,9.0 +2025,2.0,3.0 +2026,3.0,5.0 +2027,0.0,1.0 +2028,2.0,5.0 +2029,3.0,3.0 +2030,2.0,6.0 +2031,3.0,1.0 +2032,2.0,6.0 +2033,2.0,3.0 +2034,1.0,6.0 +2035,0.0,5.0 +2036,2.0,11.0 +2037,5.0,8.0 +2038,2.0,4.0 +2039,5.0,2.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,1.0,1.0 +2043,1.0,4.0 +2044,0.0,2.0 +2045,1.0,4.0 +2046,0.0,5.0 +2047,0.0,5.0 +2048,4.0,2.0 +2049,2.0,5.0 +2050,0.0,6.0 +2051,0.0,6.0 +2052,1.0,3.0 +2053,1.0,7.0 +2054,0.0,6.0 +2055,1.0,6.0 +2056,2.0,5.0 +2057,2.0,4.0 +2058,2.0,4.0 +2059,1.0,3.0 +2060,2.0,3.0 +2061,2.0,2.0 +2062,1.0,6.0 +2063,1.0,4.0 +2064,1.0,6.0 +2065,3.0,3.0 +2066,1.0,2.0 +2067,0.0,3.0 +2068,2.0,1.0 +2069,1.0,4.0 +2070,1.0,7.0 +2071,3.0,5.0 +2072,2.0,5.0 +2073,2.0,3.0 +2074,5.0,5.0 +2075,1.0,5.0 +2076,2.0,0.0 +2077,1.0,5.0 +2078,1.0,4.0 +2079,2.0,5.0 +2080,2.0,6.0 +2081,2.0,4.0 +2082,0.0,5.0 +2083,1.0,4.0 +2084,0.0,3.0 +2085,0.0,5.0 +2086,0.0,4.0 +2087,1.0,5.0 +2088,1.0,1.0 +2089,3.0,3.0 +2090,0.0,4.0 +2091,3.0,2.0 +2092,0.0,5.0 +2093,1.0,3.0 +2094,1.0,4.0 +2095,0.0,5.0 +2096,0.0,5.0 +2097,1.0,1.0 +2098,0.0,4.0 +2099,3.0,6.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/484-peak+year_c.csv b/SurgeData/484-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/484-peak+year_c.csv rename to SurgeData/484-peak+year_c.csv diff --git a/SurgeData/N=1000/484-peak+year_w.csv b/SurgeData/484-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/484-peak+year_w.csv rename to SurgeData/484-peak+year_w.csv diff --git a/SurgeData/N=1000/484-peak_c.csv b/SurgeData/484-peak_c.csv similarity index 100% rename from SurgeData/N=1000/484-peak_c.csv rename to SurgeData/484-peak_c.csv diff --git a/SurgeData/N=1000/484-peak_w.csv b/SurgeData/484-peak_w.csv similarity index 100% rename from SurgeData/N=1000/484-peak_w.csv rename to SurgeData/484-peak_w.csv diff --git a/SurgeData/N=1000/484-surge_c.csv b/SurgeData/484-surge_c.csv similarity index 100% rename from SurgeData/N=1000/484-surge_c.csv rename to SurgeData/484-surge_c.csv diff --git a/SurgeData/N=1000/484-surge_w.csv b/SurgeData/484-surge_w.csv similarity index 100% rename from SurgeData/N=1000/484-surge_w.csv rename to SurgeData/484-surge_w.csv diff --git a/SurgeData/N=1000/484-time_c.csv b/SurgeData/484-time_c.csv similarity index 100% rename from SurgeData/N=1000/484-time_c.csv rename to SurgeData/484-time_c.csv diff --git a/SurgeData/N=1000/484-time_w.csv b/SurgeData/484-time_w.csv similarity index 100% rename from SurgeData/N=1000/484-time_w.csv rename to SurgeData/484-time_w.csv diff --git a/SurgeData/N=1000/484-waterlevel_c.csv b/SurgeData/484-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/484-waterlevel_c.csv rename to SurgeData/484-waterlevel_c.csv diff --git a/SurgeData/N=1000/484-waterlevel_w.csv b/SurgeData/484-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/484-waterlevel_w.csv rename to SurgeData/484-waterlevel_w.csv diff --git a/SurgeData/485-num_storm.csv b/SurgeData/485-num_storm.csv new file mode 100644 index 00000000..14a2949d --- /dev/null +++ b/SurgeData/485-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,10.0 +2021,0.0,5.0 +2022,2.0,3.0 +2023,0.0,2.0 +2024,2.0,4.0 +2025,1.0,3.0 +2026,1.0,6.0 +2027,1.0,6.0 +2028,2.0,4.0 +2029,0.0,7.0 +2030,0.0,7.0 +2031,1.0,2.0 +2032,2.0,3.0 +2033,0.0,0.0 +2034,1.0,3.0 +2035,1.0,2.0 +2036,2.0,3.0 +2037,1.0,5.0 +2038,2.0,4.0 +2039,1.0,5.0 +2040,3.0,2.0 +2041,1.0,8.0 +2042,0.0,2.0 +2043,2.0,1.0 +2044,2.0,6.0 +2045,1.0,4.0 +2046,0.0,6.0 +2047,0.0,3.0 +2048,1.0,7.0 +2049,2.0,6.0 +2050,2.0,8.0 +2051,2.0,3.0 +2052,1.0,5.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,1.0,7.0 +2057,1.0,5.0 +2058,1.0,5.0 +2059,2.0,3.0 +2060,3.0,0.0 +2061,1.0,6.0 +2062,0.0,4.0 +2063,2.0,4.0 +2064,1.0,1.0 +2065,1.0,2.0 +2066,2.0,3.0 +2067,1.0,4.0 +2068,1.0,7.0 +2069,5.0,3.0 +2070,3.0,4.0 +2071,0.0,7.0 +2072,1.0,5.0 +2073,6.0,2.0 +2074,2.0,3.0 +2075,0.0,3.0 +2076,4.0,5.0 +2077,4.0,4.0 +2078,4.0,3.0 +2079,0.0,4.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,2.0,5.0 +2083,0.0,0.0 +2084,2.0,7.0 +2085,3.0,5.0 +2086,3.0,3.0 +2087,2.0,5.0 +2088,0.0,5.0 +2089,3.0,7.0 +2090,2.0,2.0 +2091,0.0,1.0 +2092,1.0,3.0 +2093,1.0,6.0 +2094,3.0,7.0 +2095,2.0,1.0 +2096,0.0,8.0 +2097,1.0,4.0 +2098,2.0,8.0 +2099,2.0,5.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/485-peak+year_c.csv b/SurgeData/485-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/485-peak+year_c.csv rename to SurgeData/485-peak+year_c.csv diff --git a/SurgeData/N=1000/485-peak+year_w.csv b/SurgeData/485-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/485-peak+year_w.csv rename to SurgeData/485-peak+year_w.csv diff --git a/SurgeData/N=1000/485-peak_c.csv b/SurgeData/485-peak_c.csv similarity index 100% rename from SurgeData/N=1000/485-peak_c.csv rename to SurgeData/485-peak_c.csv diff --git a/SurgeData/N=1000/485-peak_w.csv b/SurgeData/485-peak_w.csv similarity index 100% rename from SurgeData/N=1000/485-peak_w.csv rename to SurgeData/485-peak_w.csv diff --git a/SurgeData/N=1000/485-surge_c.csv b/SurgeData/485-surge_c.csv similarity index 100% rename from SurgeData/N=1000/485-surge_c.csv rename to SurgeData/485-surge_c.csv diff --git a/SurgeData/N=1000/485-surge_w.csv b/SurgeData/485-surge_w.csv similarity index 100% rename from SurgeData/N=1000/485-surge_w.csv rename to SurgeData/485-surge_w.csv diff --git a/SurgeData/N=1000/485-time_c.csv b/SurgeData/485-time_c.csv similarity index 100% rename from SurgeData/N=1000/485-time_c.csv rename to SurgeData/485-time_c.csv diff --git a/SurgeData/N=1000/485-time_w.csv b/SurgeData/485-time_w.csv similarity index 100% rename from SurgeData/N=1000/485-time_w.csv rename to SurgeData/485-time_w.csv diff --git a/SurgeData/N=1000/485-waterlevel_c.csv b/SurgeData/485-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/485-waterlevel_c.csv rename to SurgeData/485-waterlevel_c.csv diff --git a/SurgeData/N=1000/485-waterlevel_w.csv b/SurgeData/485-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/485-waterlevel_w.csv rename to SurgeData/485-waterlevel_w.csv diff --git a/SurgeData/486-num_storm.csv b/SurgeData/486-num_storm.csv new file mode 100644 index 00000000..2dfbdeb8 --- /dev/null +++ b/SurgeData/486-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,5.0 +2022,2.0,3.0 +2023,0.0,2.0 +2024,2.0,4.0 +2025,0.0,7.0 +2026,0.0,3.0 +2027,1.0,4.0 +2028,1.0,6.0 +2029,3.0,0.0 +2030,1.0,2.0 +2031,1.0,2.0 +2032,1.0,4.0 +2033,0.0,2.0 +2034,0.0,2.0 +2035,5.0,6.0 +2036,0.0,7.0 +2037,1.0,4.0 +2038,5.0,3.0 +2039,1.0,6.0 +2040,1.0,5.0 +2041,0.0,3.0 +2042,2.0,2.0 +2043,0.0,4.0 +2044,3.0,5.0 +2045,2.0,5.0 +2046,1.0,3.0 +2047,2.0,4.0 +2048,2.0,1.0 +2049,2.0,6.0 +2050,2.0,2.0 +2051,0.0,5.0 +2052,0.0,6.0 +2053,1.0,1.0 +2054,4.0,10.0 +2055,1.0,2.0 +2056,1.0,0.0 +2057,0.0,10.0 +2058,0.0,3.0 +2059,1.0,3.0 +2060,2.0,8.0 +2061,2.0,7.0 +2062,0.0,2.0 +2063,0.0,7.0 +2064,3.0,6.0 +2065,2.0,2.0 +2066,0.0,8.0 +2067,1.0,7.0 +2068,1.0,6.0 +2069,4.0,2.0 +2070,1.0,5.0 +2071,0.0,3.0 +2072,1.0,2.0 +2073,2.0,4.0 +2074,2.0,1.0 +2075,1.0,5.0 +2076,0.0,5.0 +2077,2.0,5.0 +2078,0.0,7.0 +2079,3.0,3.0 +2080,0.0,7.0 +2081,1.0,2.0 +2082,0.0,4.0 +2083,1.0,1.0 +2084,0.0,5.0 +2085,0.0,5.0 +2086,0.0,4.0 +2087,1.0,7.0 +2088,0.0,5.0 +2089,4.0,1.0 +2090,2.0,7.0 +2091,0.0,3.0 +2092,2.0,4.0 +2093,0.0,4.0 +2094,2.0,5.0 +2095,1.0,5.0 +2096,1.0,6.0 +2097,1.0,5.0 +2098,4.0,3.0 +2099,0.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/486-peak+year_c.csv b/SurgeData/486-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/486-peak+year_c.csv rename to SurgeData/486-peak+year_c.csv diff --git a/SurgeData/N=1000/486-peak+year_w.csv b/SurgeData/486-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/486-peak+year_w.csv rename to SurgeData/486-peak+year_w.csv diff --git a/SurgeData/N=1000/486-peak_c.csv b/SurgeData/486-peak_c.csv similarity index 100% rename from SurgeData/N=1000/486-peak_c.csv rename to SurgeData/486-peak_c.csv diff --git a/SurgeData/N=1000/486-peak_w.csv b/SurgeData/486-peak_w.csv similarity index 100% rename from SurgeData/N=1000/486-peak_w.csv rename to SurgeData/486-peak_w.csv diff --git a/SurgeData/N=1000/486-surge_c.csv b/SurgeData/486-surge_c.csv similarity index 100% rename from SurgeData/N=1000/486-surge_c.csv rename to SurgeData/486-surge_c.csv diff --git a/SurgeData/N=1000/486-surge_w.csv b/SurgeData/486-surge_w.csv similarity index 100% rename from SurgeData/N=1000/486-surge_w.csv rename to SurgeData/486-surge_w.csv diff --git a/SurgeData/N=1000/486-time_c.csv b/SurgeData/486-time_c.csv similarity index 100% rename from SurgeData/N=1000/486-time_c.csv rename to SurgeData/486-time_c.csv diff --git a/SurgeData/N=1000/486-time_w.csv b/SurgeData/486-time_w.csv similarity index 100% rename from SurgeData/N=1000/486-time_w.csv rename to SurgeData/486-time_w.csv diff --git a/SurgeData/N=1000/486-waterlevel_c.csv b/SurgeData/486-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/486-waterlevel_c.csv rename to SurgeData/486-waterlevel_c.csv diff --git a/SurgeData/N=1000/486-waterlevel_w.csv b/SurgeData/486-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/486-waterlevel_w.csv rename to SurgeData/486-waterlevel_w.csv diff --git a/SurgeData/487-num_storm.csv b/SurgeData/487-num_storm.csv new file mode 100644 index 00000000..5ebd3749 --- /dev/null +++ b/SurgeData/487-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,2.0,1.0 +2022,1.0,4.0 +2023,3.0,5.0 +2024,1.0,2.0 +2025,1.0,3.0 +2026,0.0,5.0 +2027,0.0,7.0 +2028,0.0,2.0 +2029,1.0,2.0 +2030,1.0,3.0 +2031,2.0,4.0 +2032,0.0,4.0 +2033,2.0,3.0 +2034,2.0,1.0 +2035,1.0,1.0 +2036,1.0,5.0 +2037,1.0,6.0 +2038,2.0,5.0 +2039,1.0,1.0 +2040,3.0,1.0 +2041,2.0,6.0 +2042,1.0,3.0 +2043,1.0,2.0 +2044,3.0,4.0 +2045,2.0,4.0 +2046,2.0,5.0 +2047,1.0,0.0 +2048,1.0,3.0 +2049,3.0,1.0 +2050,1.0,6.0 +2051,2.0,5.0 +2052,4.0,1.0 +2053,1.0,4.0 +2054,0.0,4.0 +2055,1.0,4.0 +2056,0.0,5.0 +2057,2.0,4.0 +2058,0.0,4.0 +2059,1.0,5.0 +2060,2.0,5.0 +2061,2.0,1.0 +2062,3.0,1.0 +2063,1.0,9.0 +2064,0.0,7.0 +2065,1.0,2.0 +2066,3.0,2.0 +2067,1.0,7.0 +2068,2.0,1.0 +2069,0.0,8.0 +2070,1.0,7.0 +2071,1.0,5.0 +2072,0.0,6.0 +2073,2.0,5.0 +2074,2.0,4.0 +2075,1.0,5.0 +2076,0.0,2.0 +2077,3.0,5.0 +2078,5.0,6.0 +2079,1.0,5.0 +2080,2.0,5.0 +2081,0.0,4.0 +2082,1.0,7.0 +2083,4.0,5.0 +2084,2.0,2.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,2.0,4.0 +2088,0.0,5.0 +2089,2.0,5.0 +2090,2.0,2.0 +2091,1.0,8.0 +2092,1.0,5.0 +2093,3.0,3.0 +2094,0.0,5.0 +2095,4.0,2.0 +2096,0.0,6.0 +2097,0.0,1.0 +2098,1.0,6.0 +2099,2.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/487-peak+year_c.csv b/SurgeData/487-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/487-peak+year_c.csv rename to SurgeData/487-peak+year_c.csv diff --git a/SurgeData/N=1000/487-peak+year_w.csv b/SurgeData/487-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/487-peak+year_w.csv rename to SurgeData/487-peak+year_w.csv diff --git a/SurgeData/N=1000/487-peak_c.csv b/SurgeData/487-peak_c.csv similarity index 100% rename from SurgeData/N=1000/487-peak_c.csv rename to SurgeData/487-peak_c.csv diff --git a/SurgeData/N=1000/487-peak_w.csv b/SurgeData/487-peak_w.csv similarity index 100% rename from SurgeData/N=1000/487-peak_w.csv rename to SurgeData/487-peak_w.csv diff --git a/SurgeData/N=1000/487-surge_c.csv b/SurgeData/487-surge_c.csv similarity index 100% rename from SurgeData/N=1000/487-surge_c.csv rename to SurgeData/487-surge_c.csv diff --git a/SurgeData/N=1000/487-surge_w.csv b/SurgeData/487-surge_w.csv similarity index 100% rename from SurgeData/N=1000/487-surge_w.csv rename to SurgeData/487-surge_w.csv diff --git a/SurgeData/N=1000/487-time_c.csv b/SurgeData/487-time_c.csv similarity index 100% rename from SurgeData/N=1000/487-time_c.csv rename to SurgeData/487-time_c.csv diff --git a/SurgeData/N=1000/487-time_w.csv b/SurgeData/487-time_w.csv similarity index 100% rename from SurgeData/N=1000/487-time_w.csv rename to SurgeData/487-time_w.csv diff --git a/SurgeData/N=1000/487-waterlevel_c.csv b/SurgeData/487-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/487-waterlevel_c.csv rename to SurgeData/487-waterlevel_c.csv diff --git a/SurgeData/N=1000/487-waterlevel_w.csv b/SurgeData/487-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/487-waterlevel_w.csv rename to SurgeData/487-waterlevel_w.csv diff --git a/SurgeData/488-num_storm.csv b/SurgeData/488-num_storm.csv new file mode 100644 index 00000000..d5d512f8 --- /dev/null +++ b/SurgeData/488-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,4.0 +2022,2.0,4.0 +2023,2.0,8.0 +2024,4.0,6.0 +2025,0.0,5.0 +2026,0.0,3.0 +2027,6.0,10.0 +2028,0.0,4.0 +2029,0.0,1.0 +2030,0.0,5.0 +2031,0.0,4.0 +2032,1.0,5.0 +2033,1.0,3.0 +2034,3.0,2.0 +2035,1.0,5.0 +2036,3.0,3.0 +2037,2.0,4.0 +2038,3.0,5.0 +2039,1.0,4.0 +2040,2.0,3.0 +2041,2.0,1.0 +2042,1.0,5.0 +2043,3.0,6.0 +2044,2.0,1.0 +2045,0.0,5.0 +2046,0.0,1.0 +2047,1.0,2.0 +2048,2.0,8.0 +2049,0.0,6.0 +2050,1.0,1.0 +2051,2.0,2.0 +2052,3.0,8.0 +2053,1.0,3.0 +2054,6.0,3.0 +2055,3.0,7.0 +2056,0.0,7.0 +2057,0.0,5.0 +2058,3.0,2.0 +2059,1.0,4.0 +2060,1.0,1.0 +2061,0.0,3.0 +2062,2.0,2.0 +2063,1.0,7.0 +2064,1.0,7.0 +2065,3.0,7.0 +2066,2.0,6.0 +2067,1.0,1.0 +2068,3.0,2.0 +2069,2.0,3.0 +2070,0.0,6.0 +2071,0.0,3.0 +2072,1.0,4.0 +2073,3.0,3.0 +2074,2.0,3.0 +2075,2.0,4.0 +2076,2.0,3.0 +2077,2.0,2.0 +2078,1.0,4.0 +2079,0.0,1.0 +2080,1.0,5.0 +2081,2.0,1.0 +2082,1.0,0.0 +2083,0.0,2.0 +2084,2.0,4.0 +2085,1.0,9.0 +2086,0.0,2.0 +2087,1.0,4.0 +2088,1.0,3.0 +2089,0.0,0.0 +2090,0.0,4.0 +2091,0.0,2.0 +2092,0.0,7.0 +2093,3.0,4.0 +2094,0.0,4.0 +2095,1.0,4.0 +2096,1.0,8.0 +2097,1.0,1.0 +2098,0.0,6.0 +2099,0.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/488-peak+year_c.csv b/SurgeData/488-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/488-peak+year_c.csv rename to SurgeData/488-peak+year_c.csv diff --git a/SurgeData/N=1000/488-peak+year_w.csv b/SurgeData/488-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/488-peak+year_w.csv rename to SurgeData/488-peak+year_w.csv diff --git a/SurgeData/N=1000/488-peak_c.csv b/SurgeData/488-peak_c.csv similarity index 100% rename from SurgeData/N=1000/488-peak_c.csv rename to SurgeData/488-peak_c.csv diff --git a/SurgeData/N=1000/488-peak_w.csv b/SurgeData/488-peak_w.csv similarity index 100% rename from SurgeData/N=1000/488-peak_w.csv rename to SurgeData/488-peak_w.csv diff --git a/SurgeData/N=1000/488-surge_c.csv b/SurgeData/488-surge_c.csv similarity index 100% rename from SurgeData/N=1000/488-surge_c.csv rename to SurgeData/488-surge_c.csv diff --git a/SurgeData/N=1000/488-surge_w.csv b/SurgeData/488-surge_w.csv similarity index 100% rename from SurgeData/N=1000/488-surge_w.csv rename to SurgeData/488-surge_w.csv diff --git a/SurgeData/N=1000/488-time_c.csv b/SurgeData/488-time_c.csv similarity index 100% rename from SurgeData/N=1000/488-time_c.csv rename to SurgeData/488-time_c.csv diff --git a/SurgeData/N=1000/488-time_w.csv b/SurgeData/488-time_w.csv similarity index 100% rename from SurgeData/N=1000/488-time_w.csv rename to SurgeData/488-time_w.csv diff --git a/SurgeData/N=1000/488-waterlevel_c.csv b/SurgeData/488-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/488-waterlevel_c.csv rename to SurgeData/488-waterlevel_c.csv diff --git a/SurgeData/N=1000/488-waterlevel_w.csv b/SurgeData/488-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/488-waterlevel_w.csv rename to SurgeData/488-waterlevel_w.csv diff --git a/SurgeData/N=1000/489-peak+year_c.csv b/SurgeData/489-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/489-peak+year_c.csv rename to SurgeData/489-peak+year_c.csv diff --git a/SurgeData/N=1000/489-peak+year_w.csv b/SurgeData/489-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/489-peak+year_w.csv rename to SurgeData/489-peak+year_w.csv diff --git a/SurgeData/N=1000/489-peak_c.csv b/SurgeData/489-peak_c.csv similarity index 100% rename from SurgeData/N=1000/489-peak_c.csv rename to SurgeData/489-peak_c.csv diff --git a/SurgeData/N=1000/489-peak_w.csv b/SurgeData/489-peak_w.csv similarity index 100% rename from SurgeData/N=1000/489-peak_w.csv rename to SurgeData/489-peak_w.csv diff --git a/SurgeData/N=1000/489-surge_c.csv b/SurgeData/489-surge_c.csv similarity index 100% rename from SurgeData/N=1000/489-surge_c.csv rename to SurgeData/489-surge_c.csv diff --git a/SurgeData/N=1000/489-surge_w.csv b/SurgeData/489-surge_w.csv similarity index 100% rename from SurgeData/N=1000/489-surge_w.csv rename to SurgeData/489-surge_w.csv diff --git a/SurgeData/N=1000/489-time_c.csv b/SurgeData/489-time_c.csv similarity index 100% rename from SurgeData/N=1000/489-time_c.csv rename to SurgeData/489-time_c.csv diff --git a/SurgeData/N=1000/489-time_w.csv b/SurgeData/489-time_w.csv similarity index 100% rename from SurgeData/N=1000/489-time_w.csv rename to SurgeData/489-time_w.csv diff --git a/SurgeData/N=1000/489-waterlevel_c.csv b/SurgeData/489-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/489-waterlevel_c.csv rename to SurgeData/489-waterlevel_c.csv diff --git a/SurgeData/N=1000/489-waterlevel_w.csv b/SurgeData/489-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/489-waterlevel_w.csv rename to SurgeData/489-waterlevel_w.csv diff --git a/SurgeData/49-num_storm.csv b/SurgeData/49-num_storm.csv new file mode 100644 index 00000000..4e2f95bd --- /dev/null +++ b/SurgeData/49-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,1.0,4.0 +2022,1.0,3.0 +2023,2.0,2.0 +2024,2.0,6.0 +2025,0.0,4.0 +2026,1.0,5.0 +2027,1.0,4.0 +2028,1.0,3.0 +2029,0.0,3.0 +2030,2.0,6.0 +2031,0.0,6.0 +2032,3.0,4.0 +2033,2.0,2.0 +2034,2.0,3.0 +2035,3.0,3.0 +2036,0.0,1.0 +2037,1.0,1.0 +2038,1.0,4.0 +2039,4.0,3.0 +2040,3.0,3.0 +2041,0.0,8.0 +2042,4.0,5.0 +2043,2.0,0.0 +2044,1.0,6.0 +2045,5.0,5.0 +2046,2.0,2.0 +2047,3.0,6.0 +2048,2.0,3.0 +2049,1.0,8.0 +2050,0.0,1.0 +2051,0.0,6.0 +2052,2.0,3.0 +2053,0.0,6.0 +2054,2.0,5.0 +2055,3.0,6.0 +2056,1.0,1.0 +2057,0.0,1.0 +2058,1.0,3.0 +2059,1.0,6.0 +2060,1.0,2.0 +2061,1.0,3.0 +2062,1.0,3.0 +2063,3.0,6.0 +2064,0.0,6.0 +2065,2.0,3.0 +2066,1.0,5.0 +2067,4.0,5.0 +2068,1.0,4.0 +2069,1.0,2.0 +2070,4.0,3.0 +2071,1.0,2.0 +2072,0.0,2.0 +2073,0.0,5.0 +2074,0.0,3.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,1.0,2.0 +2078,2.0,1.0 +2079,2.0,7.0 +2080,3.0,1.0 +2081,0.0,7.0 +2082,3.0,5.0 +2083,1.0,3.0 +2084,2.0,3.0 +2085,2.0,7.0 +2086,4.0,4.0 +2087,1.0,7.0 +2088,2.0,7.0 +2089,2.0,7.0 +2090,3.0,5.0 +2091,3.0,3.0 +2092,3.0,3.0 +2093,1.0,6.0 +2094,1.0,2.0 +2095,2.0,4.0 +2096,0.0,4.0 +2097,4.0,5.0 +2098,2.0,7.0 +2099,2.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/49-peak+year_c.csv b/SurgeData/49-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/49-peak+year_c.csv rename to SurgeData/49-peak+year_c.csv diff --git a/SurgeData/N=1000/49-peak+year_w.csv b/SurgeData/49-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/49-peak+year_w.csv rename to SurgeData/49-peak+year_w.csv diff --git a/SurgeData/N=1000/49-peak_c.csv b/SurgeData/49-peak_c.csv similarity index 100% rename from SurgeData/N=1000/49-peak_c.csv rename to SurgeData/49-peak_c.csv diff --git a/SurgeData/N=1000/49-peak_w.csv b/SurgeData/49-peak_w.csv similarity index 100% rename from SurgeData/N=1000/49-peak_w.csv rename to SurgeData/49-peak_w.csv diff --git a/SurgeData/N=1000/49-surge_c.csv b/SurgeData/49-surge_c.csv similarity index 100% rename from SurgeData/N=1000/49-surge_c.csv rename to SurgeData/49-surge_c.csv diff --git a/SurgeData/N=1000/49-surge_w.csv b/SurgeData/49-surge_w.csv similarity index 100% rename from SurgeData/N=1000/49-surge_w.csv rename to SurgeData/49-surge_w.csv diff --git a/SurgeData/N=1000/49-time_c.csv b/SurgeData/49-time_c.csv similarity index 100% rename from SurgeData/N=1000/49-time_c.csv rename to SurgeData/49-time_c.csv diff --git a/SurgeData/N=1000/49-time_w.csv b/SurgeData/49-time_w.csv similarity index 100% rename from SurgeData/N=1000/49-time_w.csv rename to SurgeData/49-time_w.csv diff --git a/SurgeData/N=1000/49-waterlevel_c.csv b/SurgeData/49-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/49-waterlevel_c.csv rename to SurgeData/49-waterlevel_c.csv diff --git a/SurgeData/N=1000/49-waterlevel_w.csv b/SurgeData/49-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/49-waterlevel_w.csv rename to SurgeData/49-waterlevel_w.csv diff --git a/SurgeData/490-num_storm.csv b/SurgeData/490-num_storm.csv new file mode 100644 index 00000000..2ed19bfc --- /dev/null +++ b/SurgeData/490-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,1.0 +2022,2.0,5.0 +2023,0.0,3.0 +2024,1.0,8.0 +2025,1.0,4.0 +2026,2.0,5.0 +2027,0.0,6.0 +2028,1.0,4.0 +2029,2.0,4.0 +2030,3.0,5.0 +2031,2.0,3.0 +2032,0.0,2.0 +2033,1.0,4.0 +2034,0.0,4.0 +2035,1.0,5.0 +2036,3.0,1.0 +2037,2.0,3.0 +2038,0.0,8.0 +2039,0.0,2.0 +2040,1.0,6.0 +2041,0.0,8.0 +2042,0.0,3.0 +2043,1.0,5.0 +2044,1.0,3.0 +2045,1.0,8.0 +2046,8.0,4.0 +2047,1.0,0.0 +2048,5.0,5.0 +2049,0.0,7.0 +2050,2.0,6.0 +2051,2.0,2.0 +2052,0.0,3.0 +2053,6.0,2.0 +2054,0.0,0.0 +2055,0.0,3.0 +2056,1.0,4.0 +2057,1.0,6.0 +2058,1.0,3.0 +2059,0.0,1.0 +2060,4.0,3.0 +2061,1.0,8.0 +2062,2.0,6.0 +2063,4.0,3.0 +2064,1.0,2.0 +2065,1.0,2.0 +2066,3.0,8.0 +2067,1.0,2.0 +2068,1.0,7.0 +2069,2.0,7.0 +2070,0.0,6.0 +2071,1.0,8.0 +2072,3.0,5.0 +2073,1.0,3.0 +2074,0.0,2.0 +2075,0.0,3.0 +2076,1.0,5.0 +2077,1.0,7.0 +2078,3.0,4.0 +2079,3.0,7.0 +2080,0.0,5.0 +2081,0.0,4.0 +2082,1.0,3.0 +2083,1.0,3.0 +2084,2.0,4.0 +2085,1.0,7.0 +2086,1.0,3.0 +2087,1.0,1.0 +2088,1.0,4.0 +2089,1.0,2.0 +2090,1.0,4.0 +2091,5.0,1.0 +2092,2.0,3.0 +2093,1.0,9.0 +2094,0.0,4.0 +2095,1.0,4.0 +2096,2.0,4.0 +2097,2.0,3.0 +2098,0.0,3.0 +2099,1.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/490-peak+year_c.csv b/SurgeData/490-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/490-peak+year_c.csv rename to SurgeData/490-peak+year_c.csv diff --git a/SurgeData/N=1000/490-peak+year_w.csv b/SurgeData/490-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/490-peak+year_w.csv rename to SurgeData/490-peak+year_w.csv diff --git a/SurgeData/N=1000/490-peak_c.csv b/SurgeData/490-peak_c.csv similarity index 100% rename from SurgeData/N=1000/490-peak_c.csv rename to SurgeData/490-peak_c.csv diff --git a/SurgeData/N=1000/490-peak_w.csv b/SurgeData/490-peak_w.csv similarity index 100% rename from SurgeData/N=1000/490-peak_w.csv rename to SurgeData/490-peak_w.csv diff --git a/SurgeData/N=1000/490-surge_c.csv b/SurgeData/490-surge_c.csv similarity index 100% rename from SurgeData/N=1000/490-surge_c.csv rename to SurgeData/490-surge_c.csv diff --git a/SurgeData/N=1000/490-surge_w.csv b/SurgeData/490-surge_w.csv similarity index 100% rename from SurgeData/N=1000/490-surge_w.csv rename to SurgeData/490-surge_w.csv diff --git a/SurgeData/N=1000/490-time_c.csv b/SurgeData/490-time_c.csv similarity index 100% rename from SurgeData/N=1000/490-time_c.csv rename to SurgeData/490-time_c.csv diff --git a/SurgeData/N=1000/490-time_w.csv b/SurgeData/490-time_w.csv similarity index 100% rename from SurgeData/N=1000/490-time_w.csv rename to SurgeData/490-time_w.csv diff --git a/SurgeData/N=1000/490-waterlevel_c.csv b/SurgeData/490-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/490-waterlevel_c.csv rename to SurgeData/490-waterlevel_c.csv diff --git a/SurgeData/N=1000/490-waterlevel_w.csv b/SurgeData/490-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/490-waterlevel_w.csv rename to SurgeData/490-waterlevel_w.csv diff --git a/SurgeData/491-num_storm.csv b/SurgeData/491-num_storm.csv new file mode 100644 index 00000000..50593817 --- /dev/null +++ b/SurgeData/491-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,3.0,5.0 +2022,1.0,4.0 +2023,2.0,5.0 +2024,2.0,3.0 +2025,1.0,5.0 +2026,2.0,3.0 +2027,2.0,4.0 +2028,1.0,5.0 +2029,0.0,5.0 +2030,4.0,3.0 +2031,5.0,0.0 +2032,2.0,7.0 +2033,1.0,5.0 +2034,0.0,11.0 +2035,1.0,3.0 +2036,1.0,5.0 +2037,3.0,3.0 +2038,2.0,3.0 +2039,2.0,4.0 +2040,1.0,1.0 +2041,1.0,5.0 +2042,2.0,3.0 +2043,0.0,5.0 +2044,1.0,4.0 +2045,1.0,3.0 +2046,4.0,4.0 +2047,1.0,3.0 +2048,2.0,7.0 +2049,2.0,3.0 +2050,1.0,4.0 +2051,1.0,4.0 +2052,2.0,5.0 +2053,5.0,3.0 +2054,1.0,3.0 +2055,2.0,2.0 +2056,2.0,2.0 +2057,1.0,3.0 +2058,4.0,3.0 +2059,1.0,3.0 +2060,2.0,10.0 +2061,1.0,4.0 +2062,2.0,4.0 +2063,4.0,4.0 +2064,1.0,6.0 +2065,1.0,3.0 +2066,0.0,6.0 +2067,0.0,1.0 +2068,1.0,1.0 +2069,0.0,5.0 +2070,5.0,3.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,1.0,4.0 +2074,1.0,8.0 +2075,2.0,2.0 +2076,1.0,4.0 +2077,1.0,4.0 +2078,4.0,5.0 +2079,2.0,5.0 +2080,4.0,7.0 +2081,0.0,6.0 +2082,2.0,1.0 +2083,3.0,1.0 +2084,2.0,10.0 +2085,0.0,5.0 +2086,3.0,4.0 +2087,1.0,4.0 +2088,2.0,6.0 +2089,1.0,8.0 +2090,1.0,2.0 +2091,3.0,2.0 +2092,1.0,1.0 +2093,1.0,4.0 +2094,1.0,4.0 +2095,0.0,6.0 +2096,5.0,5.0 +2097,0.0,4.0 +2098,0.0,1.0 +2099,4.0,1.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/491-peak+year_c.csv b/SurgeData/491-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/491-peak+year_c.csv rename to SurgeData/491-peak+year_c.csv diff --git a/SurgeData/N=1000/491-peak+year_w.csv b/SurgeData/491-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/491-peak+year_w.csv rename to SurgeData/491-peak+year_w.csv diff --git a/SurgeData/N=1000/491-peak_c.csv b/SurgeData/491-peak_c.csv similarity index 100% rename from SurgeData/N=1000/491-peak_c.csv rename to SurgeData/491-peak_c.csv diff --git a/SurgeData/N=1000/491-peak_w.csv b/SurgeData/491-peak_w.csv similarity index 100% rename from SurgeData/N=1000/491-peak_w.csv rename to SurgeData/491-peak_w.csv diff --git a/SurgeData/N=1000/491-surge_c.csv b/SurgeData/491-surge_c.csv similarity index 100% rename from SurgeData/N=1000/491-surge_c.csv rename to SurgeData/491-surge_c.csv diff --git a/SurgeData/N=1000/491-surge_w.csv b/SurgeData/491-surge_w.csv similarity index 100% rename from SurgeData/N=1000/491-surge_w.csv rename to SurgeData/491-surge_w.csv diff --git a/SurgeData/N=1000/491-time_c.csv b/SurgeData/491-time_c.csv similarity index 100% rename from SurgeData/N=1000/491-time_c.csv rename to SurgeData/491-time_c.csv diff --git a/SurgeData/N=1000/491-time_w.csv b/SurgeData/491-time_w.csv similarity index 100% rename from SurgeData/N=1000/491-time_w.csv rename to SurgeData/491-time_w.csv diff --git a/SurgeData/N=1000/491-waterlevel_c.csv b/SurgeData/491-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/491-waterlevel_c.csv rename to SurgeData/491-waterlevel_c.csv diff --git a/SurgeData/N=1000/491-waterlevel_w.csv b/SurgeData/491-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/491-waterlevel_w.csv rename to SurgeData/491-waterlevel_w.csv diff --git a/SurgeData/492-num_storm.csv b/SurgeData/492-num_storm.csv new file mode 100644 index 00000000..d7108e1a --- /dev/null +++ b/SurgeData/492-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,2.0 +2022,2.0,3.0 +2023,4.0,3.0 +2024,1.0,2.0 +2025,0.0,1.0 +2026,1.0,5.0 +2027,0.0,4.0 +2028,4.0,4.0 +2029,2.0,3.0 +2030,2.0,0.0 +2031,1.0,7.0 +2032,3.0,5.0 +2033,3.0,4.0 +2034,1.0,4.0 +2035,3.0,6.0 +2036,2.0,4.0 +2037,2.0,4.0 +2038,2.0,5.0 +2039,0.0,2.0 +2040,1.0,3.0 +2041,1.0,3.0 +2042,2.0,2.0 +2043,0.0,3.0 +2044,1.0,3.0 +2045,5.0,2.0 +2046,1.0,5.0 +2047,1.0,2.0 +2048,2.0,2.0 +2049,0.0,4.0 +2050,2.0,8.0 +2051,2.0,3.0 +2052,2.0,2.0 +2053,0.0,3.0 +2054,0.0,4.0 +2055,0.0,5.0 +2056,1.0,6.0 +2057,3.0,7.0 +2058,3.0,3.0 +2059,1.0,4.0 +2060,3.0,3.0 +2061,2.0,7.0 +2062,4.0,4.0 +2063,1.0,4.0 +2064,2.0,2.0 +2065,2.0,10.0 +2066,0.0,5.0 +2067,1.0,5.0 +2068,4.0,3.0 +2069,1.0,2.0 +2070,2.0,2.0 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a/SurgeData/N=1000/492-peak_w.csv b/SurgeData/492-peak_w.csv similarity index 100% rename from SurgeData/N=1000/492-peak_w.csv rename to SurgeData/492-peak_w.csv diff --git a/SurgeData/N=1000/492-surge_c.csv b/SurgeData/492-surge_c.csv similarity index 100% rename from SurgeData/N=1000/492-surge_c.csv rename to SurgeData/492-surge_c.csv diff --git a/SurgeData/N=1000/492-surge_w.csv b/SurgeData/492-surge_w.csv similarity index 100% rename from SurgeData/N=1000/492-surge_w.csv rename to SurgeData/492-surge_w.csv diff --git a/SurgeData/N=1000/492-time_c.csv b/SurgeData/492-time_c.csv similarity index 100% rename from SurgeData/N=1000/492-time_c.csv rename to SurgeData/492-time_c.csv diff --git a/SurgeData/N=1000/492-time_w.csv b/SurgeData/492-time_w.csv similarity index 100% rename from SurgeData/N=1000/492-time_w.csv rename to SurgeData/492-time_w.csv diff --git a/SurgeData/N=1000/492-waterlevel_c.csv b/SurgeData/492-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/492-waterlevel_c.csv rename to SurgeData/492-waterlevel_c.csv diff --git a/SurgeData/N=1000/492-waterlevel_w.csv b/SurgeData/492-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/492-waterlevel_w.csv rename to SurgeData/492-waterlevel_w.csv diff --git a/SurgeData/N=1000/493-peak+year_c.csv b/SurgeData/493-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/493-peak+year_c.csv rename to SurgeData/493-peak+year_c.csv diff --git a/SurgeData/N=1000/493-peak+year_w.csv b/SurgeData/493-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/493-peak+year_w.csv rename to SurgeData/493-peak+year_w.csv diff --git a/SurgeData/N=1000/493-peak_c.csv b/SurgeData/493-peak_c.csv similarity index 100% rename from SurgeData/N=1000/493-peak_c.csv rename to SurgeData/493-peak_c.csv diff --git a/SurgeData/N=1000/493-peak_w.csv b/SurgeData/493-peak_w.csv similarity index 100% rename from SurgeData/N=1000/493-peak_w.csv rename to SurgeData/493-peak_w.csv diff --git a/SurgeData/N=1000/493-surge_c.csv b/SurgeData/493-surge_c.csv similarity index 100% rename from SurgeData/N=1000/493-surge_c.csv rename to SurgeData/493-surge_c.csv diff --git a/SurgeData/N=1000/493-surge_w.csv b/SurgeData/493-surge_w.csv similarity index 100% rename from SurgeData/N=1000/493-surge_w.csv rename to SurgeData/493-surge_w.csv diff --git a/SurgeData/N=1000/493-time_c.csv b/SurgeData/493-time_c.csv similarity index 100% rename from SurgeData/N=1000/493-time_c.csv rename to SurgeData/493-time_c.csv diff --git a/SurgeData/N=1000/493-time_w.csv b/SurgeData/493-time_w.csv similarity index 100% rename from SurgeData/N=1000/493-time_w.csv rename to SurgeData/493-time_w.csv diff --git a/SurgeData/N=1000/493-waterlevel_c.csv b/SurgeData/493-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/493-waterlevel_c.csv rename to SurgeData/493-waterlevel_c.csv diff --git a/SurgeData/N=1000/493-waterlevel_w.csv b/SurgeData/493-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/493-waterlevel_w.csv rename to SurgeData/493-waterlevel_w.csv diff --git a/SurgeData/494-num_storm.csv b/SurgeData/494-num_storm.csv new file mode 100644 index 00000000..e4e5700f --- /dev/null +++ b/SurgeData/494-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,3.0 +2022,1.0,8.0 +2023,0.0,2.0 +2024,3.0,5.0 +2025,1.0,5.0 +2026,0.0,1.0 +2027,0.0,4.0 +2028,1.0,3.0 +2029,4.0,7.0 +2030,2.0,2.0 +2031,0.0,4.0 +2032,2.0,4.0 +2033,3.0,4.0 +2034,0.0,4.0 +2035,1.0,4.0 +2036,1.0,4.0 +2037,3.0,8.0 +2038,2.0,8.0 +2039,1.0,6.0 +2040,1.0,4.0 +2041,2.0,5.0 +2042,3.0,8.0 +2043,1.0,1.0 +2044,2.0,4.0 +2045,0.0,7.0 +2046,2.0,5.0 +2047,1.0,4.0 +2048,0.0,1.0 +2049,2.0,3.0 +2050,4.0,3.0 +2051,1.0,5.0 +2052,2.0,5.0 +2053,2.0,5.0 +2054,1.0,5.0 +2055,2.0,6.0 +2056,1.0,3.0 +2057,0.0,3.0 +2058,2.0,2.0 +2059,1.0,4.0 +2060,0.0,7.0 +2061,1.0,5.0 +2062,3.0,2.0 +2063,2.0,5.0 +2064,1.0,2.0 +2065,3.0,10.0 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SurgeData/N=1000/494-peak_c.csv rename to SurgeData/494-peak_c.csv diff --git a/SurgeData/N=1000/494-peak_w.csv b/SurgeData/494-peak_w.csv similarity index 100% rename from SurgeData/N=1000/494-peak_w.csv rename to SurgeData/494-peak_w.csv diff --git a/SurgeData/N=1000/494-surge_c.csv b/SurgeData/494-surge_c.csv similarity index 100% rename from SurgeData/N=1000/494-surge_c.csv rename to SurgeData/494-surge_c.csv diff --git a/SurgeData/N=1000/494-surge_w.csv b/SurgeData/494-surge_w.csv similarity index 100% rename from SurgeData/N=1000/494-surge_w.csv rename to SurgeData/494-surge_w.csv diff --git a/SurgeData/N=1000/494-time_c.csv b/SurgeData/494-time_c.csv similarity index 100% rename from SurgeData/N=1000/494-time_c.csv rename to SurgeData/494-time_c.csv diff --git a/SurgeData/N=1000/494-time_w.csv b/SurgeData/494-time_w.csv similarity index 100% rename from SurgeData/N=1000/494-time_w.csv rename to SurgeData/494-time_w.csv diff --git a/SurgeData/N=1000/494-waterlevel_c.csv b/SurgeData/494-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/494-waterlevel_c.csv rename to SurgeData/494-waterlevel_c.csv diff --git a/SurgeData/N=1000/494-waterlevel_w.csv b/SurgeData/494-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/494-waterlevel_w.csv rename to SurgeData/494-waterlevel_w.csv diff --git a/SurgeData/N=1000/495-peak+year_c.csv b/SurgeData/495-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/495-peak+year_c.csv rename to SurgeData/495-peak+year_c.csv diff --git a/SurgeData/N=1000/495-peak+year_w.csv b/SurgeData/495-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/495-peak+year_w.csv rename to SurgeData/495-peak+year_w.csv diff --git a/SurgeData/N=1000/495-peak_c.csv b/SurgeData/495-peak_c.csv similarity index 100% rename from SurgeData/N=1000/495-peak_c.csv rename to SurgeData/495-peak_c.csv diff --git a/SurgeData/N=1000/495-peak_w.csv b/SurgeData/495-peak_w.csv similarity index 100% rename from SurgeData/N=1000/495-peak_w.csv rename to SurgeData/495-peak_w.csv diff --git a/SurgeData/N=1000/495-surge_c.csv b/SurgeData/495-surge_c.csv similarity index 100% rename from SurgeData/N=1000/495-surge_c.csv rename to SurgeData/495-surge_c.csv diff --git a/SurgeData/N=1000/495-surge_w.csv b/SurgeData/495-surge_w.csv similarity index 100% rename from SurgeData/N=1000/495-surge_w.csv rename to SurgeData/495-surge_w.csv diff --git a/SurgeData/N=1000/495-time_c.csv b/SurgeData/495-time_c.csv similarity index 100% rename from SurgeData/N=1000/495-time_c.csv rename to SurgeData/495-time_c.csv diff --git a/SurgeData/N=1000/495-time_w.csv b/SurgeData/495-time_w.csv similarity index 100% rename from SurgeData/N=1000/495-time_w.csv rename to SurgeData/495-time_w.csv diff --git a/SurgeData/N=1000/495-waterlevel_c.csv b/SurgeData/495-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/495-waterlevel_c.csv rename to SurgeData/495-waterlevel_c.csv diff --git a/SurgeData/N=1000/495-waterlevel_w.csv b/SurgeData/495-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/495-waterlevel_w.csv rename to SurgeData/495-waterlevel_w.csv diff --git a/SurgeData/496-num_storm.csv b/SurgeData/496-num_storm.csv new file mode 100644 index 00000000..f1d9525e --- /dev/null +++ b/SurgeData/496-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,3.0,1.0 +2023,1.0,5.0 +2024,0.0,8.0 +2025,3.0,11.0 +2026,1.0,3.0 +2027,0.0,6.0 +2028,2.0,6.0 +2029,1.0,4.0 +2030,3.0,4.0 +2031,0.0,4.0 +2032,3.0,1.0 +2033,1.0,2.0 +2034,5.0,6.0 +2035,2.0,3.0 +2036,1.0,3.0 +2037,3.0,6.0 +2038,0.0,4.0 +2039,0.0,4.0 +2040,1.0,7.0 +2041,1.0,8.0 +2042,2.0,8.0 +2043,1.0,2.0 +2044,2.0,3.0 +2045,1.0,9.0 +2046,0.0,5.0 +2047,3.0,4.0 +2048,1.0,7.0 +2049,3.0,5.0 +2050,2.0,6.0 +2051,1.0,5.0 +2052,1.0,3.0 +2053,0.0,8.0 +2054,1.0,4.0 +2055,1.0,8.0 +2056,1.0,3.0 +2057,1.0,8.0 +2058,2.0,0.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,2.0,7.0 +2062,1.0,3.0 +2063,1.0,3.0 +2064,4.0,1.0 +2065,2.0,5.0 +2066,1.0,3.0 +2067,1.0,7.0 +2068,2.0,4.0 +2069,1.0,2.0 +2070,3.0,1.0 +2071,1.0,4.0 +2072,0.0,1.0 +2073,4.0,4.0 +2074,2.0,2.0 +2075,0.0,3.0 +2076,2.0,4.0 +2077,1.0,3.0 +2078,3.0,8.0 +2079,1.0,7.0 +2080,3.0,2.0 +2081,3.0,8.0 +2082,3.0,4.0 +2083,2.0,3.0 +2084,0.0,7.0 +2085,0.0,1.0 +2086,2.0,6.0 +2087,2.0,4.0 +2088,0.0,1.0 +2089,0.0,4.0 +2090,1.0,6.0 +2091,3.0,4.0 +2092,1.0,10.0 +2093,3.0,8.0 +2094,1.0,3.0 +2095,0.0,4.0 +2096,1.0,4.0 +2097,0.0,10.0 +2098,2.0,3.0 +2099,1.0,2.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/496-peak+year_c.csv b/SurgeData/496-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/496-peak+year_c.csv rename to SurgeData/496-peak+year_c.csv diff --git a/SurgeData/N=1000/496-peak+year_w.csv b/SurgeData/496-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/496-peak+year_w.csv rename to SurgeData/496-peak+year_w.csv diff --git a/SurgeData/N=1000/496-peak_c.csv b/SurgeData/496-peak_c.csv similarity index 100% rename from SurgeData/N=1000/496-peak_c.csv rename to SurgeData/496-peak_c.csv diff --git a/SurgeData/N=1000/496-peak_w.csv b/SurgeData/496-peak_w.csv similarity index 100% rename from SurgeData/N=1000/496-peak_w.csv rename to SurgeData/496-peak_w.csv diff --git a/SurgeData/N=1000/496-surge_c.csv b/SurgeData/496-surge_c.csv similarity index 100% rename from SurgeData/N=1000/496-surge_c.csv rename to SurgeData/496-surge_c.csv diff --git a/SurgeData/N=1000/496-surge_w.csv b/SurgeData/496-surge_w.csv similarity index 100% rename from SurgeData/N=1000/496-surge_w.csv rename to SurgeData/496-surge_w.csv diff --git a/SurgeData/N=1000/496-time_c.csv b/SurgeData/496-time_c.csv similarity index 100% rename from SurgeData/N=1000/496-time_c.csv rename to SurgeData/496-time_c.csv diff --git a/SurgeData/N=1000/496-time_w.csv b/SurgeData/496-time_w.csv similarity index 100% rename from SurgeData/N=1000/496-time_w.csv rename to SurgeData/496-time_w.csv diff --git a/SurgeData/N=1000/496-waterlevel_c.csv b/SurgeData/496-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/496-waterlevel_c.csv rename to SurgeData/496-waterlevel_c.csv diff --git a/SurgeData/N=1000/496-waterlevel_w.csv b/SurgeData/496-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/496-waterlevel_w.csv rename to SurgeData/496-waterlevel_w.csv diff --git a/SurgeData/N=1000/497-peak+year_c.csv b/SurgeData/497-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/497-peak+year_c.csv rename to SurgeData/497-peak+year_c.csv diff --git a/SurgeData/N=1000/497-peak+year_w.csv b/SurgeData/497-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/497-peak+year_w.csv rename to SurgeData/497-peak+year_w.csv diff --git a/SurgeData/N=1000/497-peak_c.csv b/SurgeData/497-peak_c.csv similarity index 100% rename from SurgeData/N=1000/497-peak_c.csv rename to SurgeData/497-peak_c.csv diff --git a/SurgeData/N=1000/497-peak_w.csv b/SurgeData/497-peak_w.csv similarity index 100% rename from SurgeData/N=1000/497-peak_w.csv rename to SurgeData/497-peak_w.csv diff --git a/SurgeData/N=1000/497-surge_c.csv b/SurgeData/497-surge_c.csv similarity index 100% rename from SurgeData/N=1000/497-surge_c.csv rename to SurgeData/497-surge_c.csv diff --git a/SurgeData/N=1000/497-surge_w.csv b/SurgeData/497-surge_w.csv similarity index 100% rename from SurgeData/N=1000/497-surge_w.csv rename to SurgeData/497-surge_w.csv diff --git a/SurgeData/N=1000/497-time_c.csv b/SurgeData/497-time_c.csv similarity index 100% rename from SurgeData/N=1000/497-time_c.csv rename to SurgeData/497-time_c.csv diff --git a/SurgeData/N=1000/497-time_w.csv b/SurgeData/497-time_w.csv similarity index 100% rename from SurgeData/N=1000/497-time_w.csv rename to SurgeData/497-time_w.csv diff --git a/SurgeData/N=1000/497-waterlevel_c.csv b/SurgeData/497-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/497-waterlevel_c.csv rename to SurgeData/497-waterlevel_c.csv diff --git a/SurgeData/N=1000/497-waterlevel_w.csv b/SurgeData/497-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/497-waterlevel_w.csv rename to SurgeData/497-waterlevel_w.csv diff --git a/SurgeData/N=1000/498-peak+year_c.csv b/SurgeData/498-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/498-peak+year_c.csv rename to SurgeData/498-peak+year_c.csv diff --git a/SurgeData/N=1000/498-peak+year_w.csv b/SurgeData/498-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/498-peak+year_w.csv rename to SurgeData/498-peak+year_w.csv diff --git a/SurgeData/N=1000/498-peak_c.csv b/SurgeData/498-peak_c.csv similarity index 100% rename from SurgeData/N=1000/498-peak_c.csv rename to SurgeData/498-peak_c.csv diff --git a/SurgeData/N=1000/498-peak_w.csv b/SurgeData/498-peak_w.csv similarity index 100% rename from SurgeData/N=1000/498-peak_w.csv rename to SurgeData/498-peak_w.csv diff --git a/SurgeData/N=1000/498-surge_c.csv b/SurgeData/498-surge_c.csv similarity index 100% rename from SurgeData/N=1000/498-surge_c.csv rename to SurgeData/498-surge_c.csv diff --git a/SurgeData/N=1000/498-surge_w.csv b/SurgeData/498-surge_w.csv similarity index 100% rename from SurgeData/N=1000/498-surge_w.csv rename to SurgeData/498-surge_w.csv diff --git a/SurgeData/N=1000/498-time_c.csv b/SurgeData/498-time_c.csv similarity index 100% rename from SurgeData/N=1000/498-time_c.csv rename to SurgeData/498-time_c.csv diff --git a/SurgeData/N=1000/498-time_w.csv b/SurgeData/498-time_w.csv similarity index 100% rename from SurgeData/N=1000/498-time_w.csv rename to SurgeData/498-time_w.csv diff --git a/SurgeData/N=1000/498-waterlevel_c.csv b/SurgeData/498-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/498-waterlevel_c.csv rename to SurgeData/498-waterlevel_c.csv diff --git a/SurgeData/N=1000/498-waterlevel_w.csv b/SurgeData/498-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/498-waterlevel_w.csv rename to SurgeData/498-waterlevel_w.csv diff --git a/SurgeData/499-num_storm.csv b/SurgeData/499-num_storm.csv new file mode 100644 index 00000000..a19f2b43 --- /dev/null +++ b/SurgeData/499-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,4.0 +2022,1.0,4.0 +2023,2.0,4.0 +2024,3.0,0.0 +2025,0.0,3.0 +2026,1.0,3.0 +2027,2.0,2.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,2.0,7.0 +2031,3.0,2.0 +2032,0.0,5.0 +2033,2.0,5.0 +2034,1.0,3.0 +2035,1.0,4.0 +2036,2.0,3.0 +2037,1.0,6.0 +2038,4.0,4.0 +2039,4.0,9.0 +2040,2.0,2.0 +2041,0.0,2.0 +2042,3.0,7.0 +2043,0.0,3.0 +2044,1.0,5.0 +2045,2.0,2.0 +2046,2.0,3.0 +2047,1.0,1.0 +2048,1.0,3.0 +2049,0.0,3.0 +2050,3.0,3.0 +2051,4.0,4.0 +2052,1.0,3.0 +2053,4.0,3.0 +2054,1.0,5.0 +2055,3.0,1.0 +2056,0.0,2.0 +2057,2.0,8.0 +2058,0.0,9.0 +2059,2.0,2.0 +2060,2.0,5.0 +2061,3.0,5.0 +2062,1.0,3.0 +2063,2.0,2.0 +2064,0.0,4.0 +2065,0.0,7.0 +2066,1.0,2.0 +2067,0.0,4.0 +2068,1.0,3.0 +2069,1.0,4.0 +2070,2.0,5.0 +2071,3.0,3.0 +2072,3.0,1.0 +2073,1.0,9.0 +2074,0.0,5.0 +2075,1.0,4.0 +2076,0.0,5.0 +2077,1.0,5.0 +2078,3.0,8.0 +2079,3.0,3.0 +2080,1.0,0.0 +2081,0.0,3.0 +2082,2.0,2.0 +2083,3.0,8.0 +2084,1.0,4.0 +2085,0.0,6.0 +2086,1.0,3.0 +2087,0.0,7.0 +2088,3.0,8.0 +2089,1.0,5.0 +2090,2.0,4.0 +2091,3.0,9.0 +2092,2.0,8.0 +2093,3.0,5.0 +2094,5.0,3.0 +2095,1.0,2.0 +2096,4.0,6.0 +2097,1.0,3.0 +2098,2.0,4.0 +2099,0.0,4.0 +2100,4.0,1.0 diff --git a/SurgeData/N=1000/499-peak+year_c.csv b/SurgeData/499-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/499-peak+year_c.csv rename to SurgeData/499-peak+year_c.csv diff --git a/SurgeData/N=1000/499-peak+year_w.csv b/SurgeData/499-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/499-peak+year_w.csv rename to SurgeData/499-peak+year_w.csv diff --git a/SurgeData/N=1000/499-peak_c.csv b/SurgeData/499-peak_c.csv similarity index 100% rename from SurgeData/N=1000/499-peak_c.csv rename to SurgeData/499-peak_c.csv diff --git a/SurgeData/N=1000/499-peak_w.csv b/SurgeData/499-peak_w.csv similarity index 100% rename from SurgeData/N=1000/499-peak_w.csv rename to SurgeData/499-peak_w.csv diff --git a/SurgeData/N=1000/499-surge_c.csv b/SurgeData/499-surge_c.csv similarity index 100% rename from SurgeData/N=1000/499-surge_c.csv rename to SurgeData/499-surge_c.csv diff --git a/SurgeData/N=1000/499-surge_w.csv b/SurgeData/499-surge_w.csv similarity index 100% rename from SurgeData/N=1000/499-surge_w.csv rename to SurgeData/499-surge_w.csv diff --git a/SurgeData/N=1000/499-time_c.csv b/SurgeData/499-time_c.csv similarity index 100% rename from SurgeData/N=1000/499-time_c.csv rename to SurgeData/499-time_c.csv diff --git a/SurgeData/N=1000/499-time_w.csv b/SurgeData/499-time_w.csv similarity index 100% rename from SurgeData/N=1000/499-time_w.csv rename to SurgeData/499-time_w.csv diff --git a/SurgeData/N=1000/499-waterlevel_c.csv b/SurgeData/499-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/499-waterlevel_c.csv rename to SurgeData/499-waterlevel_c.csv diff --git a/SurgeData/N=1000/499-waterlevel_w.csv b/SurgeData/499-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/499-waterlevel_w.csv rename to SurgeData/499-waterlevel_w.csv diff --git a/SurgeData/5-num_storm.csv b/SurgeData/5-num_storm.csv new file mode 100644 index 00000000..7df4a43d --- /dev/null +++ b/SurgeData/5-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,2.0,2.0 +2022,1.0,4.0 +2023,0.0,4.0 +2024,0.0,3.0 +2025,2.0,1.0 +2026,5.0,3.0 +2027,0.0,5.0 +2028,1.0,3.0 +2029,3.0,6.0 +2030,1.0,1.0 +2031,2.0,4.0 +2032,2.0,7.0 +2033,0.0,3.0 +2034,1.0,3.0 +2035,3.0,5.0 +2036,0.0,5.0 +2037,0.0,6.0 +2038,3.0,2.0 +2039,0.0,2.0 +2040,2.0,4.0 +2041,3.0,5.0 +2042,2.0,3.0 +2043,0.0,5.0 +2044,0.0,2.0 +2045,2.0,2.0 +2046,0.0,4.0 +2047,3.0,2.0 +2048,3.0,7.0 +2049,3.0,7.0 +2050,1.0,2.0 +2051,1.0,7.0 +2052,1.0,6.0 +2053,3.0,3.0 +2054,2.0,6.0 +2055,2.0,11.0 +2056,2.0,3.0 +2057,2.0,3.0 +2058,0.0,1.0 +2059,1.0,3.0 +2060,1.0,1.0 +2061,1.0,6.0 +2062,0.0,5.0 +2063,1.0,9.0 +2064,3.0,3.0 +2065,4.0,1.0 +2066,0.0,5.0 +2067,2.0,4.0 +2068,3.0,3.0 +2069,3.0,4.0 +2070,2.0,3.0 +2071,1.0,3.0 +2072,2.0,5.0 +2073,2.0,2.0 +2074,1.0,0.0 +2075,0.0,3.0 +2076,1.0,4.0 +2077,1.0,1.0 +2078,1.0,7.0 +2079,1.0,1.0 +2080,1.0,5.0 +2081,0.0,5.0 +2082,1.0,5.0 +2083,1.0,3.0 +2084,5.0,5.0 +2085,0.0,2.0 +2086,4.0,2.0 +2087,3.0,3.0 +2088,1.0,1.0 +2089,4.0,4.0 +2090,0.0,5.0 +2091,3.0,2.0 +2092,3.0,5.0 +2093,0.0,5.0 +2094,0.0,4.0 +2095,2.0,1.0 +2096,1.0,7.0 +2097,1.0,7.0 +2098,1.0,1.0 +2099,1.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/5-peak+year_c.csv b/SurgeData/5-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/5-peak+year_c.csv rename to SurgeData/5-peak+year_c.csv diff --git a/SurgeData/N=1000/5-peak+year_w.csv b/SurgeData/5-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/5-peak+year_w.csv rename to SurgeData/5-peak+year_w.csv diff --git a/SurgeData/N=1000/5-peak_c.csv b/SurgeData/5-peak_c.csv similarity index 100% rename from SurgeData/N=1000/5-peak_c.csv rename to SurgeData/5-peak_c.csv diff --git a/SurgeData/N=1000/5-peak_w.csv b/SurgeData/5-peak_w.csv similarity index 100% rename from SurgeData/N=1000/5-peak_w.csv rename to SurgeData/5-peak_w.csv diff --git a/SurgeData/N=1000/5-surge_c.csv b/SurgeData/5-surge_c.csv similarity index 100% rename from SurgeData/N=1000/5-surge_c.csv rename to SurgeData/5-surge_c.csv diff --git a/SurgeData/N=1000/5-surge_w.csv b/SurgeData/5-surge_w.csv similarity index 100% rename from SurgeData/N=1000/5-surge_w.csv rename to SurgeData/5-surge_w.csv diff --git a/SurgeData/N=1000/5-time_c.csv b/SurgeData/5-time_c.csv similarity index 100% rename from SurgeData/N=1000/5-time_c.csv rename to SurgeData/5-time_c.csv diff --git a/SurgeData/N=1000/5-time_w.csv b/SurgeData/5-time_w.csv similarity index 100% rename from SurgeData/N=1000/5-time_w.csv rename to SurgeData/5-time_w.csv diff --git a/SurgeData/N=1000/5-waterlevel_c.csv b/SurgeData/5-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/5-waterlevel_c.csv rename to SurgeData/5-waterlevel_c.csv diff --git a/SurgeData/N=1000/5-waterlevel_w.csv b/SurgeData/5-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/5-waterlevel_w.csv rename to SurgeData/5-waterlevel_w.csv diff --git a/SurgeData/50-num_storm.csv b/SurgeData/50-num_storm.csv new file mode 100644 index 00000000..5c421191 --- /dev/null +++ b/SurgeData/50-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,4.0,4.0 +2022,2.0,3.0 +2023,0.0,6.0 +2024,0.0,4.0 +2025,0.0,2.0 +2026,1.0,7.0 +2027,0.0,6.0 +2028,1.0,6.0 +2029,0.0,2.0 +2030,4.0,3.0 +2031,4.0,8.0 +2032,0.0,6.0 +2033,1.0,7.0 +2034,1.0,2.0 +2035,4.0,6.0 +2036,3.0,8.0 +2037,3.0,7.0 +2038,2.0,4.0 +2039,1.0,4.0 +2040,4.0,4.0 +2041,3.0,7.0 +2042,1.0,4.0 +2043,2.0,2.0 +2044,2.0,3.0 +2045,1.0,8.0 +2046,2.0,2.0 +2047,1.0,3.0 +2048,1.0,2.0 +2049,1.0,5.0 +2050,1.0,2.0 +2051,3.0,4.0 +2052,3.0,1.0 +2053,0.0,3.0 +2054,0.0,4.0 +2055,2.0,3.0 +2056,1.0,0.0 +2057,3.0,5.0 +2058,3.0,6.0 +2059,2.0,6.0 +2060,2.0,2.0 +2061,1.0,7.0 +2062,4.0,5.0 +2063,1.0,4.0 +2064,1.0,6.0 +2065,1.0,1.0 +2066,2.0,4.0 +2067,1.0,6.0 +2068,2.0,7.0 +2069,1.0,6.0 +2070,2.0,3.0 +2071,0.0,6.0 +2072,1.0,2.0 +2073,0.0,3.0 +2074,2.0,5.0 +2075,1.0,4.0 +2076,3.0,6.0 +2077,2.0,6.0 +2078,4.0,7.0 +2079,1.0,2.0 +2080,0.0,2.0 +2081,0.0,1.0 +2082,1.0,4.0 +2083,2.0,3.0 +2084,2.0,3.0 +2085,0.0,3.0 +2086,3.0,2.0 +2087,2.0,8.0 +2088,1.0,6.0 +2089,0.0,4.0 +2090,0.0,6.0 +2091,1.0,6.0 +2092,3.0,5.0 +2093,2.0,3.0 +2094,1.0,3.0 +2095,1.0,6.0 +2096,2.0,5.0 +2097,2.0,6.0 +2098,0.0,3.0 +2099,1.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/50-peak+year_c.csv b/SurgeData/50-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/50-peak+year_c.csv rename to SurgeData/50-peak+year_c.csv diff --git a/SurgeData/N=1000/50-peak+year_w.csv b/SurgeData/50-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/50-peak+year_w.csv rename to SurgeData/50-peak+year_w.csv diff --git a/SurgeData/N=1000/50-peak_c.csv b/SurgeData/50-peak_c.csv similarity index 100% rename from SurgeData/N=1000/50-peak_c.csv rename to SurgeData/50-peak_c.csv diff --git a/SurgeData/N=1000/50-peak_w.csv b/SurgeData/50-peak_w.csv similarity index 100% rename from SurgeData/N=1000/50-peak_w.csv rename to SurgeData/50-peak_w.csv diff --git a/SurgeData/N=1000/50-surge_c.csv b/SurgeData/50-surge_c.csv similarity index 100% rename from SurgeData/N=1000/50-surge_c.csv rename to SurgeData/50-surge_c.csv diff --git a/SurgeData/N=1000/50-surge_w.csv b/SurgeData/50-surge_w.csv similarity index 100% rename from SurgeData/N=1000/50-surge_w.csv rename to SurgeData/50-surge_w.csv diff --git a/SurgeData/N=1000/50-time_c.csv b/SurgeData/50-time_c.csv similarity index 100% rename from SurgeData/N=1000/50-time_c.csv rename to SurgeData/50-time_c.csv diff --git a/SurgeData/N=1000/50-time_w.csv b/SurgeData/50-time_w.csv similarity index 100% rename from SurgeData/N=1000/50-time_w.csv rename to SurgeData/50-time_w.csv diff --git a/SurgeData/N=1000/50-waterlevel_c.csv b/SurgeData/50-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/50-waterlevel_c.csv rename to SurgeData/50-waterlevel_c.csv diff --git a/SurgeData/N=1000/50-waterlevel_w.csv b/SurgeData/50-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/50-waterlevel_w.csv rename to SurgeData/50-waterlevel_w.csv diff --git a/SurgeData/500-num_storm.csv b/SurgeData/500-num_storm.csv new file mode 100644 index 00000000..089488cf --- /dev/null +++ b/SurgeData/500-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,3.0 +2022,0.0,5.0 +2023,1.0,3.0 +2024,1.0,6.0 +2025,3.0,8.0 +2026,0.0,4.0 +2027,2.0,4.0 +2028,1.0,5.0 +2029,2.0,8.0 +2030,1.0,2.0 +2031,1.0,4.0 +2032,0.0,3.0 +2033,4.0,1.0 +2034,3.0,3.0 +2035,2.0,5.0 +2036,2.0,2.0 +2037,1.0,5.0 +2038,1.0,3.0 +2039,4.0,4.0 +2040,3.0,6.0 +2041,2.0,5.0 +2042,2.0,5.0 +2043,1.0,3.0 +2044,1.0,2.0 +2045,2.0,4.0 +2046,1.0,3.0 +2047,2.0,4.0 +2048,2.0,4.0 +2049,2.0,5.0 +2050,0.0,5.0 +2051,1.0,3.0 +2052,2.0,3.0 +2053,1.0,0.0 +2054,1.0,6.0 +2055,1.0,3.0 +2056,2.0,5.0 +2057,0.0,2.0 +2058,0.0,3.0 +2059,1.0,7.0 +2060,1.0,4.0 +2061,0.0,7.0 +2062,1.0,5.0 +2063,1.0,1.0 +2064,1.0,5.0 +2065,0.0,3.0 +2066,1.0,8.0 +2067,0.0,7.0 +2068,2.0,3.0 +2069,3.0,6.0 +2070,0.0,9.0 +2071,3.0,4.0 +2072,2.0,1.0 +2073,4.0,3.0 +2074,3.0,3.0 +2075,2.0,3.0 +2076,2.0,3.0 +2077,3.0,3.0 +2078,0.0,4.0 +2079,1.0,5.0 +2080,1.0,2.0 +2081,2.0,5.0 +2082,1.0,4.0 +2083,4.0,4.0 +2084,1.0,4.0 +2085,2.0,1.0 +2086,2.0,1.0 +2087,1.0,2.0 +2088,0.0,7.0 +2089,3.0,7.0 +2090,1.0,3.0 +2091,1.0,3.0 +2092,0.0,5.0 +2093,3.0,7.0 +2094,2.0,3.0 +2095,1.0,4.0 +2096,1.0,2.0 +2097,1.0,6.0 +2098,0.0,6.0 +2099,3.0,4.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/500-peak+year_c.csv b/SurgeData/500-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/500-peak+year_c.csv rename to SurgeData/500-peak+year_c.csv diff --git a/SurgeData/N=1000/500-peak+year_w.csv b/SurgeData/500-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/500-peak+year_w.csv rename to SurgeData/500-peak+year_w.csv diff --git a/SurgeData/N=1000/500-peak_c.csv b/SurgeData/500-peak_c.csv similarity index 100% rename from SurgeData/N=1000/500-peak_c.csv rename to SurgeData/500-peak_c.csv diff --git a/SurgeData/N=1000/500-peak_w.csv b/SurgeData/500-peak_w.csv similarity index 100% rename from SurgeData/N=1000/500-peak_w.csv rename to SurgeData/500-peak_w.csv diff --git a/SurgeData/N=1000/500-surge_c.csv b/SurgeData/500-surge_c.csv similarity index 100% rename from SurgeData/N=1000/500-surge_c.csv rename to SurgeData/500-surge_c.csv diff --git a/SurgeData/N=1000/500-surge_w.csv b/SurgeData/500-surge_w.csv similarity index 100% rename from SurgeData/N=1000/500-surge_w.csv rename to SurgeData/500-surge_w.csv diff --git a/SurgeData/N=1000/500-time_c.csv b/SurgeData/500-time_c.csv similarity index 100% rename from SurgeData/N=1000/500-time_c.csv rename to SurgeData/500-time_c.csv diff --git a/SurgeData/N=1000/500-time_w.csv b/SurgeData/500-time_w.csv similarity index 100% rename from SurgeData/N=1000/500-time_w.csv rename to SurgeData/500-time_w.csv diff --git a/SurgeData/N=1000/500-waterlevel_c.csv b/SurgeData/500-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/500-waterlevel_c.csv rename to SurgeData/500-waterlevel_c.csv diff --git a/SurgeData/N=1000/500-waterlevel_w.csv b/SurgeData/500-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/500-waterlevel_w.csv rename to SurgeData/500-waterlevel_w.csv diff --git a/SurgeData/501-num_storm.csv b/SurgeData/501-num_storm.csv new file mode 100644 index 00000000..c6b6d11d --- /dev/null +++ b/SurgeData/501-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,9.0 +2021,4.0,1.0 +2022,2.0,4.0 +2023,2.0,3.0 +2024,0.0,6.0 +2025,4.0,4.0 +2026,4.0,1.0 +2027,0.0,2.0 +2028,2.0,8.0 +2029,2.0,4.0 +2030,3.0,4.0 +2031,2.0,5.0 +2032,1.0,3.0 +2033,3.0,2.0 +2034,1.0,5.0 +2035,3.0,5.0 +2036,1.0,2.0 +2037,2.0,6.0 +2038,0.0,0.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,2.0,5.0 +2042,1.0,3.0 +2043,3.0,2.0 +2044,2.0,1.0 +2045,3.0,0.0 +2046,1.0,4.0 +2047,1.0,4.0 +2048,1.0,6.0 +2049,2.0,3.0 +2050,2.0,4.0 +2051,3.0,2.0 +2052,2.0,8.0 +2053,1.0,3.0 +2054,1.0,6.0 +2055,1.0,4.0 +2056,0.0,4.0 +2057,1.0,4.0 +2058,1.0,8.0 +2059,2.0,11.0 +2060,0.0,4.0 +2061,2.0,4.0 +2062,2.0,6.0 +2063,1.0,5.0 +2064,2.0,2.0 +2065,2.0,6.0 +2066,3.0,3.0 +2067,0.0,4.0 +2068,1.0,2.0 +2069,2.0,2.0 +2070,3.0,5.0 +2071,1.0,1.0 +2072,3.0,5.0 +2073,1.0,4.0 +2074,0.0,4.0 +2075,1.0,6.0 +2076,1.0,7.0 +2077,1.0,5.0 +2078,2.0,2.0 +2079,1.0,7.0 +2080,1.0,4.0 +2081,0.0,3.0 +2082,0.0,7.0 +2083,2.0,1.0 +2084,1.0,2.0 +2085,4.0,2.0 +2086,3.0,2.0 +2087,3.0,3.0 +2088,1.0,5.0 +2089,0.0,8.0 +2090,1.0,3.0 +2091,4.0,3.0 +2092,2.0,4.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,1.0,7.0 +2096,0.0,7.0 +2097,0.0,6.0 +2098,0.0,5.0 +2099,2.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/501-peak+year_c.csv b/SurgeData/501-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/501-peak+year_c.csv rename to SurgeData/501-peak+year_c.csv diff --git a/SurgeData/N=1000/501-peak+year_w.csv b/SurgeData/501-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/501-peak+year_w.csv rename to SurgeData/501-peak+year_w.csv diff --git a/SurgeData/N=1000/501-peak_c.csv b/SurgeData/501-peak_c.csv similarity index 100% rename from SurgeData/N=1000/501-peak_c.csv rename to SurgeData/501-peak_c.csv diff --git a/SurgeData/N=1000/501-peak_w.csv b/SurgeData/501-peak_w.csv similarity index 100% rename from SurgeData/N=1000/501-peak_w.csv rename to SurgeData/501-peak_w.csv diff --git a/SurgeData/N=1000/501-surge_c.csv b/SurgeData/501-surge_c.csv similarity index 100% rename from SurgeData/N=1000/501-surge_c.csv rename to SurgeData/501-surge_c.csv diff --git a/SurgeData/N=1000/501-surge_w.csv b/SurgeData/501-surge_w.csv similarity index 100% rename from SurgeData/N=1000/501-surge_w.csv rename to SurgeData/501-surge_w.csv diff --git a/SurgeData/N=1000/501-time_c.csv b/SurgeData/501-time_c.csv similarity index 100% rename from SurgeData/N=1000/501-time_c.csv rename to SurgeData/501-time_c.csv diff --git a/SurgeData/N=1000/501-time_w.csv b/SurgeData/501-time_w.csv similarity index 100% rename from SurgeData/N=1000/501-time_w.csv rename to SurgeData/501-time_w.csv diff --git a/SurgeData/N=1000/501-waterlevel_c.csv b/SurgeData/501-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/501-waterlevel_c.csv rename to SurgeData/501-waterlevel_c.csv diff --git a/SurgeData/N=1000/501-waterlevel_w.csv b/SurgeData/501-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/501-waterlevel_w.csv rename to SurgeData/501-waterlevel_w.csv diff --git a/SurgeData/N=1000/502-peak+year_c.csv b/SurgeData/502-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/502-peak+year_c.csv rename to SurgeData/502-peak+year_c.csv diff --git a/SurgeData/N=1000/502-peak+year_w.csv b/SurgeData/502-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/502-peak+year_w.csv rename to SurgeData/502-peak+year_w.csv diff --git a/SurgeData/N=1000/502-peak_c.csv b/SurgeData/502-peak_c.csv similarity index 100% rename from SurgeData/N=1000/502-peak_c.csv rename to SurgeData/502-peak_c.csv diff --git a/SurgeData/N=1000/502-peak_w.csv b/SurgeData/502-peak_w.csv similarity index 100% rename from SurgeData/N=1000/502-peak_w.csv rename to SurgeData/502-peak_w.csv diff --git a/SurgeData/N=1000/502-surge_c.csv b/SurgeData/502-surge_c.csv similarity index 100% rename from SurgeData/N=1000/502-surge_c.csv rename to SurgeData/502-surge_c.csv diff --git a/SurgeData/N=1000/502-surge_w.csv b/SurgeData/502-surge_w.csv similarity index 100% rename from SurgeData/N=1000/502-surge_w.csv rename to SurgeData/502-surge_w.csv diff --git a/SurgeData/N=1000/502-time_c.csv b/SurgeData/502-time_c.csv similarity index 100% rename from SurgeData/N=1000/502-time_c.csv rename to SurgeData/502-time_c.csv diff --git a/SurgeData/N=1000/502-time_w.csv b/SurgeData/502-time_w.csv similarity index 100% rename from SurgeData/N=1000/502-time_w.csv rename to SurgeData/502-time_w.csv diff --git a/SurgeData/N=1000/502-waterlevel_c.csv b/SurgeData/502-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/502-waterlevel_c.csv rename to SurgeData/502-waterlevel_c.csv diff --git a/SurgeData/N=1000/502-waterlevel_w.csv b/SurgeData/502-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/502-waterlevel_w.csv rename to SurgeData/502-waterlevel_w.csv diff --git a/SurgeData/503-num_storm.csv b/SurgeData/503-num_storm.csv new file mode 100644 index 00000000..543e225a --- /dev/null +++ b/SurgeData/503-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,0.0 +2021,4.0,2.0 +2022,1.0,2.0 +2023,2.0,4.0 +2024,3.0,1.0 +2025,3.0,4.0 +2026,1.0,4.0 +2027,0.0,4.0 +2028,1.0,3.0 +2029,3.0,4.0 +2030,1.0,4.0 +2031,1.0,7.0 +2032,4.0,2.0 +2033,0.0,4.0 +2034,1.0,2.0 +2035,2.0,5.0 +2036,1.0,2.0 +2037,0.0,4.0 +2038,2.0,3.0 +2039,3.0,2.0 +2040,2.0,3.0 +2041,1.0,5.0 +2042,3.0,3.0 +2043,3.0,4.0 +2044,2.0,3.0 +2045,3.0,2.0 +2046,0.0,2.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,2.0,6.0 +2050,2.0,4.0 +2051,1.0,6.0 +2052,1.0,6.0 +2053,0.0,4.0 +2054,1.0,4.0 +2055,0.0,5.0 +2056,2.0,1.0 +2057,1.0,2.0 +2058,1.0,7.0 +2059,0.0,5.0 +2060,1.0,3.0 +2061,0.0,4.0 +2062,2.0,3.0 +2063,0.0,5.0 +2064,0.0,2.0 +2065,1.0,1.0 +2066,1.0,8.0 +2067,1.0,5.0 +2068,0.0,7.0 +2069,3.0,1.0 +2070,2.0,3.0 +2071,1.0,5.0 +2072,2.0,8.0 +2073,1.0,3.0 +2074,1.0,9.0 +2075,3.0,4.0 +2076,4.0,5.0 +2077,1.0,7.0 +2078,1.0,7.0 +2079,1.0,3.0 +2080,0.0,2.0 +2081,1.0,3.0 +2082,2.0,5.0 +2083,1.0,2.0 +2084,1.0,5.0 +2085,1.0,4.0 +2086,1.0,2.0 +2087,1.0,7.0 +2088,2.0,7.0 +2089,1.0,4.0 +2090,2.0,6.0 +2091,0.0,4.0 +2092,2.0,3.0 +2093,3.0,2.0 +2094,3.0,3.0 +2095,0.0,7.0 +2096,4.0,8.0 +2097,2.0,5.0 +2098,1.0,1.0 +2099,1.0,4.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/503-peak+year_c.csv b/SurgeData/503-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/503-peak+year_c.csv rename to SurgeData/503-peak+year_c.csv diff --git a/SurgeData/N=1000/503-peak+year_w.csv b/SurgeData/503-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/503-peak+year_w.csv rename to SurgeData/503-peak+year_w.csv diff --git a/SurgeData/N=1000/503-peak_c.csv b/SurgeData/503-peak_c.csv similarity index 100% rename from SurgeData/N=1000/503-peak_c.csv rename to SurgeData/503-peak_c.csv diff --git a/SurgeData/N=1000/503-peak_w.csv b/SurgeData/503-peak_w.csv similarity index 100% rename from SurgeData/N=1000/503-peak_w.csv rename to SurgeData/503-peak_w.csv diff --git a/SurgeData/N=1000/503-surge_c.csv b/SurgeData/503-surge_c.csv similarity index 100% rename from SurgeData/N=1000/503-surge_c.csv rename to SurgeData/503-surge_c.csv diff --git a/SurgeData/N=1000/503-surge_w.csv b/SurgeData/503-surge_w.csv similarity index 100% rename from SurgeData/N=1000/503-surge_w.csv rename to SurgeData/503-surge_w.csv diff --git a/SurgeData/N=1000/503-time_c.csv b/SurgeData/503-time_c.csv similarity index 100% rename from SurgeData/N=1000/503-time_c.csv rename to SurgeData/503-time_c.csv diff --git a/SurgeData/N=1000/503-time_w.csv b/SurgeData/503-time_w.csv similarity index 100% rename from SurgeData/N=1000/503-time_w.csv rename to SurgeData/503-time_w.csv diff --git a/SurgeData/N=1000/503-waterlevel_c.csv b/SurgeData/503-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/503-waterlevel_c.csv rename to SurgeData/503-waterlevel_c.csv diff --git a/SurgeData/N=1000/503-waterlevel_w.csv b/SurgeData/503-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/503-waterlevel_w.csv rename to SurgeData/503-waterlevel_w.csv diff --git a/SurgeData/504-num_storm.csv b/SurgeData/504-num_storm.csv new file mode 100644 index 00000000..17c134a6 --- /dev/null +++ b/SurgeData/504-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,5.0 +2021,1.0,1.0 +2022,1.0,6.0 +2023,2.0,9.0 +2024,0.0,5.0 +2025,1.0,4.0 +2026,0.0,3.0 +2027,1.0,5.0 +2028,1.0,5.0 +2029,1.0,7.0 +2030,1.0,6.0 +2031,2.0,5.0 +2032,1.0,6.0 +2033,3.0,5.0 +2034,1.0,5.0 +2035,0.0,2.0 +2036,2.0,1.0 +2037,1.0,4.0 +2038,0.0,4.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,2.0,7.0 +2042,2.0,7.0 +2043,2.0,6.0 +2044,0.0,9.0 +2045,2.0,5.0 +2046,0.0,3.0 +2047,2.0,3.0 +2048,1.0,5.0 +2049,1.0,6.0 +2050,1.0,5.0 +2051,4.0,4.0 +2052,1.0,4.0 +2053,0.0,3.0 +2054,0.0,4.0 +2055,1.0,1.0 +2056,2.0,5.0 +2057,0.0,0.0 +2058,0.0,5.0 +2059,0.0,3.0 +2060,3.0,5.0 +2061,2.0,4.0 +2062,2.0,6.0 +2063,1.0,7.0 +2064,1.0,6.0 +2065,1.0,4.0 +2066,2.0,4.0 +2067,0.0,4.0 +2068,0.0,5.0 +2069,2.0,4.0 +2070,5.0,1.0 +2071,0.0,4.0 +2072,0.0,8.0 +2073,3.0,7.0 +2074,0.0,9.0 +2075,1.0,7.0 +2076,1.0,5.0 +2077,2.0,4.0 +2078,0.0,7.0 +2079,2.0,1.0 +2080,1.0,1.0 +2081,1.0,4.0 +2082,1.0,6.0 +2083,1.0,6.0 +2084,3.0,2.0 +2085,0.0,9.0 +2086,2.0,3.0 +2087,2.0,3.0 +2088,1.0,5.0 +2089,2.0,5.0 +2090,1.0,4.0 +2091,2.0,9.0 +2092,1.0,5.0 +2093,1.0,2.0 +2094,1.0,5.0 +2095,2.0,3.0 +2096,3.0,5.0 +2097,1.0,4.0 +2098,1.0,3.0 +2099,1.0,4.0 +2100,4.0,1.0 diff --git a/SurgeData/N=1000/504-peak+year_c.csv b/SurgeData/504-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/504-peak+year_c.csv rename to SurgeData/504-peak+year_c.csv diff --git a/SurgeData/N=1000/504-peak+year_w.csv b/SurgeData/504-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/504-peak+year_w.csv rename to SurgeData/504-peak+year_w.csv diff --git a/SurgeData/N=1000/504-peak_c.csv b/SurgeData/504-peak_c.csv similarity index 100% rename from SurgeData/N=1000/504-peak_c.csv rename to SurgeData/504-peak_c.csv diff --git a/SurgeData/N=1000/504-peak_w.csv b/SurgeData/504-peak_w.csv similarity index 100% rename from SurgeData/N=1000/504-peak_w.csv rename to SurgeData/504-peak_w.csv diff --git a/SurgeData/N=1000/504-surge_c.csv b/SurgeData/504-surge_c.csv similarity index 100% rename from SurgeData/N=1000/504-surge_c.csv rename to SurgeData/504-surge_c.csv diff --git a/SurgeData/N=1000/504-surge_w.csv b/SurgeData/504-surge_w.csv similarity index 100% rename from SurgeData/N=1000/504-surge_w.csv rename to SurgeData/504-surge_w.csv diff --git a/SurgeData/N=1000/504-time_c.csv b/SurgeData/504-time_c.csv similarity index 100% rename from SurgeData/N=1000/504-time_c.csv rename to SurgeData/504-time_c.csv diff --git a/SurgeData/N=1000/504-time_w.csv b/SurgeData/504-time_w.csv similarity index 100% rename from SurgeData/N=1000/504-time_w.csv rename to SurgeData/504-time_w.csv diff --git a/SurgeData/N=1000/504-waterlevel_c.csv b/SurgeData/504-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/504-waterlevel_c.csv rename to SurgeData/504-waterlevel_c.csv diff --git a/SurgeData/N=1000/504-waterlevel_w.csv b/SurgeData/504-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/504-waterlevel_w.csv rename to SurgeData/504-waterlevel_w.csv diff --git a/SurgeData/505-num_storm.csv b/SurgeData/505-num_storm.csv new file mode 100644 index 00000000..0756e43a --- /dev/null +++ b/SurgeData/505-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,4.0 +2022,0.0,4.0 +2023,2.0,5.0 +2024,4.0,4.0 +2025,0.0,1.0 +2026,0.0,1.0 +2027,3.0,1.0 +2028,1.0,8.0 +2029,1.0,7.0 +2030,1.0,1.0 +2031,0.0,3.0 +2032,1.0,4.0 +2033,1.0,3.0 +2034,2.0,5.0 +2035,0.0,6.0 +2036,1.0,5.0 +2037,3.0,1.0 +2038,0.0,4.0 +2039,1.0,5.0 +2040,3.0,5.0 +2041,0.0,5.0 +2042,1.0,6.0 +2043,0.0,4.0 +2044,1.0,3.0 +2045,1.0,3.0 +2046,0.0,5.0 +2047,2.0,2.0 +2048,0.0,6.0 +2049,2.0,7.0 +2050,2.0,4.0 +2051,2.0,7.0 +2052,1.0,5.0 +2053,1.0,0.0 +2054,3.0,5.0 +2055,0.0,5.0 +2056,1.0,5.0 +2057,0.0,6.0 +2058,1.0,4.0 +2059,3.0,7.0 +2060,0.0,1.0 +2061,1.0,5.0 +2062,3.0,5.0 +2063,2.0,6.0 +2064,0.0,4.0 +2065,3.0,4.0 +2066,2.0,6.0 +2067,2.0,4.0 +2068,1.0,8.0 +2069,0.0,6.0 +2070,2.0,2.0 +2071,0.0,5.0 +2072,0.0,4.0 +2073,2.0,1.0 +2074,0.0,3.0 +2075,4.0,4.0 +2076,1.0,1.0 +2077,2.0,3.0 +2078,1.0,3.0 +2079,1.0,7.0 +2080,1.0,2.0 +2081,2.0,6.0 +2082,2.0,3.0 +2083,0.0,4.0 +2084,1.0,6.0 +2085,1.0,5.0 +2086,0.0,7.0 +2087,0.0,4.0 +2088,2.0,2.0 +2089,1.0,3.0 +2090,0.0,0.0 +2091,2.0,5.0 +2092,1.0,5.0 +2093,2.0,3.0 +2094,3.0,2.0 +2095,0.0,3.0 +2096,2.0,4.0 +2097,3.0,4.0 +2098,2.0,6.0 +2099,1.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/505-peak+year_c.csv b/SurgeData/505-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/505-peak+year_c.csv rename to SurgeData/505-peak+year_c.csv diff --git a/SurgeData/N=1000/505-peak+year_w.csv b/SurgeData/505-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/505-peak+year_w.csv rename to SurgeData/505-peak+year_w.csv diff --git a/SurgeData/N=1000/505-peak_c.csv b/SurgeData/505-peak_c.csv similarity index 100% rename from SurgeData/N=1000/505-peak_c.csv rename to SurgeData/505-peak_c.csv diff --git a/SurgeData/N=1000/505-peak_w.csv b/SurgeData/505-peak_w.csv similarity index 100% rename from SurgeData/N=1000/505-peak_w.csv rename to SurgeData/505-peak_w.csv diff --git a/SurgeData/N=1000/505-surge_c.csv b/SurgeData/505-surge_c.csv similarity index 100% rename from SurgeData/N=1000/505-surge_c.csv rename to SurgeData/505-surge_c.csv diff --git a/SurgeData/N=1000/505-surge_w.csv b/SurgeData/505-surge_w.csv similarity index 100% rename from SurgeData/N=1000/505-surge_w.csv rename to SurgeData/505-surge_w.csv diff --git a/SurgeData/N=1000/505-time_c.csv b/SurgeData/505-time_c.csv similarity index 100% rename from SurgeData/N=1000/505-time_c.csv rename to SurgeData/505-time_c.csv diff --git a/SurgeData/N=1000/505-time_w.csv b/SurgeData/505-time_w.csv similarity index 100% rename from SurgeData/N=1000/505-time_w.csv rename to SurgeData/505-time_w.csv diff --git a/SurgeData/N=1000/505-waterlevel_c.csv b/SurgeData/505-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/505-waterlevel_c.csv rename to SurgeData/505-waterlevel_c.csv diff --git a/SurgeData/N=1000/505-waterlevel_w.csv b/SurgeData/505-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/505-waterlevel_w.csv rename to SurgeData/505-waterlevel_w.csv diff --git a/SurgeData/N=1000/506-peak+year_c.csv b/SurgeData/506-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/506-peak+year_c.csv rename to SurgeData/506-peak+year_c.csv diff --git a/SurgeData/N=1000/506-peak+year_w.csv b/SurgeData/506-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/506-peak+year_w.csv rename to SurgeData/506-peak+year_w.csv diff --git a/SurgeData/N=1000/506-peak_c.csv b/SurgeData/506-peak_c.csv similarity index 100% rename from SurgeData/N=1000/506-peak_c.csv rename to SurgeData/506-peak_c.csv diff --git a/SurgeData/N=1000/506-peak_w.csv b/SurgeData/506-peak_w.csv similarity index 100% rename from SurgeData/N=1000/506-peak_w.csv rename to SurgeData/506-peak_w.csv diff --git a/SurgeData/N=1000/506-surge_c.csv b/SurgeData/506-surge_c.csv similarity index 100% rename from SurgeData/N=1000/506-surge_c.csv rename to SurgeData/506-surge_c.csv diff --git a/SurgeData/N=1000/506-surge_w.csv b/SurgeData/506-surge_w.csv similarity index 100% rename from SurgeData/N=1000/506-surge_w.csv rename to SurgeData/506-surge_w.csv diff --git a/SurgeData/N=1000/506-time_c.csv b/SurgeData/506-time_c.csv similarity index 100% rename from SurgeData/N=1000/506-time_c.csv rename to SurgeData/506-time_c.csv diff --git a/SurgeData/N=1000/506-time_w.csv b/SurgeData/506-time_w.csv similarity index 100% rename from SurgeData/N=1000/506-time_w.csv rename to SurgeData/506-time_w.csv diff --git a/SurgeData/N=1000/506-waterlevel_c.csv b/SurgeData/506-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/506-waterlevel_c.csv rename to SurgeData/506-waterlevel_c.csv diff --git a/SurgeData/N=1000/506-waterlevel_w.csv b/SurgeData/506-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/506-waterlevel_w.csv rename to SurgeData/506-waterlevel_w.csv diff --git a/SurgeData/507-num_storm.csv b/SurgeData/507-num_storm.csv new file mode 100644 index 00000000..eea0c815 --- /dev/null +++ b/SurgeData/507-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,4.0,3.0 +2022,1.0,4.0 +2023,1.0,2.0 +2024,2.0,3.0 +2025,2.0,3.0 +2026,1.0,10.0 +2027,2.0,6.0 +2028,0.0,5.0 +2029,2.0,3.0 +2030,2.0,2.0 +2031,3.0,5.0 +2032,0.0,6.0 +2033,2.0,4.0 +2034,2.0,4.0 +2035,2.0,2.0 +2036,1.0,4.0 +2037,0.0,3.0 +2038,2.0,3.0 +2039,1.0,5.0 +2040,1.0,5.0 +2041,0.0,7.0 +2042,3.0,3.0 +2043,0.0,4.0 +2044,1.0,8.0 +2045,4.0,5.0 +2046,0.0,6.0 +2047,0.0,3.0 +2048,1.0,6.0 +2049,4.0,4.0 +2050,1.0,4.0 +2051,2.0,6.0 +2052,0.0,7.0 +2053,1.0,3.0 +2054,1.0,8.0 +2055,2.0,10.0 +2056,1.0,5.0 +2057,1.0,6.0 +2058,1.0,1.0 +2059,3.0,7.0 +2060,1.0,4.0 +2061,0.0,4.0 +2062,0.0,3.0 +2063,0.0,5.0 +2064,4.0,1.0 +2065,1.0,3.0 +2066,1.0,3.0 +2067,2.0,3.0 +2068,2.0,0.0 +2069,1.0,5.0 +2070,1.0,2.0 +2071,2.0,1.0 +2072,1.0,5.0 +2073,2.0,2.0 +2074,5.0,3.0 +2075,4.0,4.0 +2076,2.0,6.0 +2077,2.0,8.0 +2078,2.0,5.0 +2079,1.0,7.0 +2080,0.0,3.0 +2081,2.0,5.0 +2082,3.0,4.0 +2083,1.0,2.0 +2084,3.0,4.0 +2085,0.0,2.0 +2086,3.0,4.0 +2087,4.0,6.0 +2088,0.0,4.0 +2089,2.0,4.0 +2090,0.0,3.0 +2091,1.0,1.0 +2092,5.0,4.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,1.0,4.0 +2096,2.0,7.0 +2097,1.0,1.0 +2098,0.0,3.0 +2099,1.0,2.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/507-peak+year_c.csv b/SurgeData/507-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/507-peak+year_c.csv rename to SurgeData/507-peak+year_c.csv diff --git a/SurgeData/N=1000/507-peak+year_w.csv b/SurgeData/507-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/507-peak+year_w.csv rename to SurgeData/507-peak+year_w.csv diff --git a/SurgeData/N=1000/507-peak_c.csv b/SurgeData/507-peak_c.csv similarity index 100% rename from SurgeData/N=1000/507-peak_c.csv rename to SurgeData/507-peak_c.csv diff --git a/SurgeData/N=1000/507-peak_w.csv b/SurgeData/507-peak_w.csv similarity index 100% rename from SurgeData/N=1000/507-peak_w.csv rename to SurgeData/507-peak_w.csv diff --git a/SurgeData/N=1000/507-surge_c.csv b/SurgeData/507-surge_c.csv similarity index 100% rename from SurgeData/N=1000/507-surge_c.csv rename to SurgeData/507-surge_c.csv diff --git a/SurgeData/N=1000/507-surge_w.csv b/SurgeData/507-surge_w.csv similarity index 100% rename from SurgeData/N=1000/507-surge_w.csv rename to SurgeData/507-surge_w.csv diff --git a/SurgeData/N=1000/507-time_c.csv b/SurgeData/507-time_c.csv similarity index 100% rename from SurgeData/N=1000/507-time_c.csv rename to SurgeData/507-time_c.csv diff --git a/SurgeData/N=1000/507-time_w.csv b/SurgeData/507-time_w.csv similarity index 100% rename from SurgeData/N=1000/507-time_w.csv rename to SurgeData/507-time_w.csv diff --git a/SurgeData/N=1000/507-waterlevel_c.csv b/SurgeData/507-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/507-waterlevel_c.csv rename to SurgeData/507-waterlevel_c.csv diff --git a/SurgeData/N=1000/507-waterlevel_w.csv b/SurgeData/507-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/507-waterlevel_w.csv rename to SurgeData/507-waterlevel_w.csv diff --git a/SurgeData/N=1000/508-peak+year_c.csv b/SurgeData/508-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/508-peak+year_c.csv rename to SurgeData/508-peak+year_c.csv diff --git a/SurgeData/N=1000/508-peak+year_w.csv b/SurgeData/508-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/508-peak+year_w.csv rename to SurgeData/508-peak+year_w.csv diff --git a/SurgeData/N=1000/508-peak_c.csv b/SurgeData/508-peak_c.csv similarity index 100% rename from SurgeData/N=1000/508-peak_c.csv rename to SurgeData/508-peak_c.csv diff --git a/SurgeData/N=1000/508-peak_w.csv b/SurgeData/508-peak_w.csv similarity index 100% rename from SurgeData/N=1000/508-peak_w.csv rename to SurgeData/508-peak_w.csv diff --git a/SurgeData/N=1000/508-surge_c.csv b/SurgeData/508-surge_c.csv similarity index 100% rename from SurgeData/N=1000/508-surge_c.csv rename to SurgeData/508-surge_c.csv diff --git a/SurgeData/N=1000/508-surge_w.csv b/SurgeData/508-surge_w.csv similarity index 100% rename from SurgeData/N=1000/508-surge_w.csv rename to SurgeData/508-surge_w.csv diff --git a/SurgeData/N=1000/508-time_c.csv b/SurgeData/508-time_c.csv similarity index 100% rename from SurgeData/N=1000/508-time_c.csv rename to SurgeData/508-time_c.csv diff --git a/SurgeData/N=1000/508-time_w.csv b/SurgeData/508-time_w.csv similarity index 100% rename from SurgeData/N=1000/508-time_w.csv rename to SurgeData/508-time_w.csv diff --git a/SurgeData/N=1000/508-waterlevel_c.csv b/SurgeData/508-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/508-waterlevel_c.csv rename to SurgeData/508-waterlevel_c.csv diff --git a/SurgeData/N=1000/508-waterlevel_w.csv b/SurgeData/508-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/508-waterlevel_w.csv rename to SurgeData/508-waterlevel_w.csv diff --git a/SurgeData/509-num_storm.csv b/SurgeData/509-num_storm.csv new file mode 100644 index 00000000..9585ee07 --- /dev/null +++ b/SurgeData/509-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,3.0 +2022,1.0,7.0 +2023,1.0,6.0 +2024,2.0,5.0 +2025,1.0,4.0 +2026,1.0,5.0 +2027,3.0,3.0 +2028,3.0,2.0 +2029,2.0,6.0 +2030,1.0,4.0 +2031,2.0,5.0 +2032,2.0,4.0 +2033,1.0,5.0 +2034,1.0,3.0 +2035,1.0,4.0 +2036,0.0,3.0 +2037,0.0,9.0 +2038,2.0,10.0 +2039,1.0,7.0 +2040,1.0,1.0 +2041,1.0,7.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,4.0,5.0 +2045,2.0,3.0 +2046,1.0,6.0 +2047,2.0,1.0 +2048,1.0,8.0 +2049,3.0,3.0 +2050,2.0,2.0 +2051,4.0,5.0 +2052,2.0,6.0 +2053,1.0,0.0 +2054,1.0,2.0 +2055,2.0,2.0 +2056,1.0,10.0 +2057,0.0,4.0 +2058,2.0,5.0 +2059,1.0,5.0 +2060,3.0,3.0 +2061,0.0,2.0 +2062,4.0,3.0 +2063,3.0,6.0 +2064,3.0,8.0 +2065,2.0,2.0 +2066,1.0,5.0 +2067,0.0,6.0 +2068,3.0,1.0 +2069,0.0,2.0 +2070,1.0,3.0 +2071,1.0,4.0 +2072,2.0,5.0 +2073,3.0,6.0 +2074,2.0,4.0 +2075,2.0,5.0 +2076,3.0,5.0 +2077,1.0,3.0 +2078,1.0,2.0 +2079,1.0,5.0 +2080,0.0,5.0 +2081,1.0,4.0 +2082,1.0,5.0 +2083,1.0,2.0 +2084,0.0,3.0 +2085,1.0,6.0 +2086,0.0,1.0 +2087,0.0,6.0 +2088,3.0,6.0 +2089,1.0,7.0 +2090,1.0,3.0 +2091,2.0,3.0 +2092,1.0,9.0 +2093,3.0,3.0 +2094,0.0,7.0 +2095,1.0,8.0 +2096,1.0,3.0 +2097,1.0,4.0 +2098,2.0,1.0 +2099,1.0,8.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/509-peak+year_c.csv b/SurgeData/509-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/509-peak+year_c.csv rename to SurgeData/509-peak+year_c.csv diff --git a/SurgeData/N=1000/509-peak+year_w.csv b/SurgeData/509-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/509-peak+year_w.csv rename to SurgeData/509-peak+year_w.csv diff --git a/SurgeData/N=1000/509-peak_c.csv b/SurgeData/509-peak_c.csv similarity index 100% rename from SurgeData/N=1000/509-peak_c.csv rename to SurgeData/509-peak_c.csv diff --git a/SurgeData/N=1000/509-peak_w.csv b/SurgeData/509-peak_w.csv similarity index 100% rename from SurgeData/N=1000/509-peak_w.csv rename to SurgeData/509-peak_w.csv diff --git a/SurgeData/N=1000/509-surge_c.csv b/SurgeData/509-surge_c.csv similarity index 100% rename from SurgeData/N=1000/509-surge_c.csv rename to SurgeData/509-surge_c.csv diff --git a/SurgeData/N=1000/509-surge_w.csv b/SurgeData/509-surge_w.csv similarity index 100% rename from SurgeData/N=1000/509-surge_w.csv rename to SurgeData/509-surge_w.csv diff --git a/SurgeData/N=1000/509-time_c.csv b/SurgeData/509-time_c.csv similarity index 100% rename from SurgeData/N=1000/509-time_c.csv rename to SurgeData/509-time_c.csv diff --git a/SurgeData/N=1000/509-time_w.csv b/SurgeData/509-time_w.csv similarity index 100% rename from SurgeData/N=1000/509-time_w.csv rename to SurgeData/509-time_w.csv diff --git a/SurgeData/N=1000/509-waterlevel_c.csv b/SurgeData/509-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/509-waterlevel_c.csv rename to SurgeData/509-waterlevel_c.csv diff --git a/SurgeData/N=1000/509-waterlevel_w.csv b/SurgeData/509-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/509-waterlevel_w.csv rename to SurgeData/509-waterlevel_w.csv diff --git a/SurgeData/N=1000/51-peak+year_c.csv b/SurgeData/51-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/51-peak+year_c.csv rename to SurgeData/51-peak+year_c.csv diff --git a/SurgeData/N=1000/51-peak+year_w.csv b/SurgeData/51-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/51-peak+year_w.csv rename to SurgeData/51-peak+year_w.csv diff --git a/SurgeData/N=1000/51-peak_c.csv b/SurgeData/51-peak_c.csv similarity index 100% rename from SurgeData/N=1000/51-peak_c.csv rename to SurgeData/51-peak_c.csv diff --git a/SurgeData/N=1000/51-peak_w.csv b/SurgeData/51-peak_w.csv similarity index 100% rename from SurgeData/N=1000/51-peak_w.csv rename to SurgeData/51-peak_w.csv diff --git a/SurgeData/N=1000/51-surge_c.csv b/SurgeData/51-surge_c.csv similarity index 100% rename from SurgeData/N=1000/51-surge_c.csv rename to SurgeData/51-surge_c.csv diff --git a/SurgeData/N=1000/51-surge_w.csv b/SurgeData/51-surge_w.csv similarity index 100% rename from SurgeData/N=1000/51-surge_w.csv rename to SurgeData/51-surge_w.csv diff --git a/SurgeData/N=1000/51-time_c.csv b/SurgeData/51-time_c.csv similarity index 100% rename from SurgeData/N=1000/51-time_c.csv rename to SurgeData/51-time_c.csv diff --git a/SurgeData/N=1000/51-time_w.csv b/SurgeData/51-time_w.csv similarity index 100% rename from SurgeData/N=1000/51-time_w.csv rename to SurgeData/51-time_w.csv diff --git a/SurgeData/N=1000/51-waterlevel_c.csv b/SurgeData/51-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/51-waterlevel_c.csv rename to SurgeData/51-waterlevel_c.csv diff --git a/SurgeData/N=1000/51-waterlevel_w.csv b/SurgeData/51-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/51-waterlevel_w.csv rename to SurgeData/51-waterlevel_w.csv diff --git a/SurgeData/510-num_storm.csv b/SurgeData/510-num_storm.csv new file mode 100644 index 00000000..b935aa24 --- /dev/null +++ b/SurgeData/510-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,0.0,4.0 +2022,2.0,4.0 +2023,1.0,3.0 +2024,2.0,6.0 +2025,1.0,3.0 +2026,1.0,1.0 +2027,2.0,2.0 +2028,2.0,3.0 +2029,1.0,8.0 +2030,3.0,1.0 +2031,4.0,5.0 +2032,1.0,7.0 +2033,0.0,4.0 +2034,0.0,4.0 +2035,0.0,6.0 +2036,2.0,5.0 +2037,2.0,7.0 +2038,1.0,5.0 +2039,1.0,1.0 +2040,2.0,3.0 +2041,1.0,4.0 +2042,1.0,7.0 +2043,3.0,5.0 +2044,2.0,7.0 +2045,1.0,3.0 +2046,0.0,3.0 +2047,1.0,2.0 +2048,2.0,8.0 +2049,0.0,4.0 +2050,3.0,5.0 +2051,1.0,1.0 +2052,2.0,3.0 +2053,0.0,3.0 +2054,4.0,5.0 +2055,1.0,2.0 +2056,2.0,2.0 +2057,5.0,3.0 +2058,0.0,7.0 +2059,2.0,0.0 +2060,1.0,3.0 +2061,2.0,7.0 +2062,1.0,1.0 +2063,1.0,5.0 +2064,2.0,5.0 +2065,4.0,6.0 +2066,2.0,4.0 +2067,4.0,6.0 +2068,2.0,8.0 +2069,3.0,7.0 +2070,1.0,3.0 +2071,0.0,8.0 +2072,2.0,5.0 +2073,0.0,6.0 +2074,3.0,1.0 +2075,2.0,6.0 +2076,1.0,1.0 +2077,0.0,0.0 +2078,5.0,5.0 +2079,1.0,7.0 +2080,0.0,3.0 +2081,1.0,6.0 +2082,4.0,5.0 +2083,1.0,5.0 +2084,0.0,2.0 +2085,1.0,5.0 +2086,2.0,6.0 +2087,0.0,4.0 +2088,1.0,8.0 +2089,0.0,3.0 +2090,2.0,4.0 +2091,1.0,6.0 +2092,1.0,3.0 +2093,0.0,3.0 +2094,0.0,3.0 +2095,1.0,5.0 +2096,1.0,4.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,0.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/510-peak+year_c.csv b/SurgeData/510-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/510-peak+year_c.csv rename to SurgeData/510-peak+year_c.csv diff --git a/SurgeData/N=1000/510-peak+year_w.csv b/SurgeData/510-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/510-peak+year_w.csv rename to SurgeData/510-peak+year_w.csv diff --git a/SurgeData/N=1000/510-peak_c.csv b/SurgeData/510-peak_c.csv similarity index 100% rename from SurgeData/N=1000/510-peak_c.csv rename to SurgeData/510-peak_c.csv diff --git a/SurgeData/N=1000/510-peak_w.csv b/SurgeData/510-peak_w.csv similarity index 100% rename from SurgeData/N=1000/510-peak_w.csv rename to SurgeData/510-peak_w.csv diff --git a/SurgeData/N=1000/510-surge_c.csv b/SurgeData/510-surge_c.csv similarity index 100% rename from SurgeData/N=1000/510-surge_c.csv rename to SurgeData/510-surge_c.csv diff --git a/SurgeData/N=1000/510-surge_w.csv b/SurgeData/510-surge_w.csv similarity index 100% rename from SurgeData/N=1000/510-surge_w.csv rename to SurgeData/510-surge_w.csv diff --git a/SurgeData/N=1000/510-time_c.csv b/SurgeData/510-time_c.csv similarity index 100% rename from SurgeData/N=1000/510-time_c.csv rename to SurgeData/510-time_c.csv diff --git a/SurgeData/N=1000/510-time_w.csv b/SurgeData/510-time_w.csv similarity index 100% rename from SurgeData/N=1000/510-time_w.csv rename to SurgeData/510-time_w.csv diff --git a/SurgeData/N=1000/510-waterlevel_c.csv b/SurgeData/510-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/510-waterlevel_c.csv rename to SurgeData/510-waterlevel_c.csv diff --git a/SurgeData/N=1000/510-waterlevel_w.csv b/SurgeData/510-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/510-waterlevel_w.csv rename to SurgeData/510-waterlevel_w.csv diff --git a/SurgeData/511-num_storm.csv b/SurgeData/511-num_storm.csv new file mode 100644 index 00000000..e6a2fa6d --- /dev/null +++ b/SurgeData/511-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,4.0 +2022,3.0,3.0 +2023,0.0,4.0 +2024,3.0,7.0 +2025,1.0,10.0 +2026,1.0,3.0 +2027,1.0,7.0 +2028,2.0,4.0 +2029,2.0,3.0 +2030,4.0,4.0 +2031,1.0,1.0 +2032,1.0,8.0 +2033,4.0,5.0 +2034,0.0,2.0 +2035,2.0,2.0 +2036,0.0,1.0 +2037,1.0,5.0 +2038,3.0,3.0 +2039,2.0,6.0 +2040,0.0,8.0 +2041,1.0,2.0 +2042,0.0,2.0 +2043,1.0,9.0 +2044,1.0,4.0 +2045,1.0,1.0 +2046,0.0,0.0 +2047,1.0,4.0 +2048,3.0,4.0 +2049,3.0,5.0 +2050,2.0,6.0 +2051,1.0,5.0 +2052,2.0,3.0 +2053,0.0,7.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,2.0,6.0 +2058,1.0,4.0 +2059,2.0,1.0 +2060,0.0,4.0 +2061,5.0,6.0 +2062,0.0,1.0 +2063,2.0,5.0 +2064,2.0,3.0 +2065,0.0,3.0 +2066,0.0,3.0 +2067,0.0,4.0 +2068,1.0,5.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,1.0,2.0 +2072,1.0,1.0 +2073,3.0,0.0 +2074,3.0,7.0 +2075,1.0,4.0 +2076,3.0,2.0 +2077,4.0,7.0 +2078,3.0,4.0 +2079,1.0,5.0 +2080,1.0,3.0 +2081,2.0,4.0 +2082,2.0,2.0 +2083,4.0,4.0 +2084,1.0,4.0 +2085,2.0,2.0 +2086,1.0,8.0 +2087,3.0,9.0 +2088,2.0,5.0 +2089,3.0,5.0 +2090,3.0,3.0 +2091,1.0,2.0 +2092,3.0,2.0 +2093,0.0,2.0 +2094,1.0,4.0 +2095,1.0,4.0 +2096,3.0,8.0 +2097,1.0,7.0 +2098,2.0,2.0 +2099,0.0,7.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/511-peak+year_c.csv b/SurgeData/511-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/511-peak+year_c.csv rename to SurgeData/511-peak+year_c.csv diff --git a/SurgeData/N=1000/511-peak+year_w.csv b/SurgeData/511-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/511-peak+year_w.csv rename to SurgeData/511-peak+year_w.csv diff --git a/SurgeData/N=1000/511-peak_c.csv b/SurgeData/511-peak_c.csv similarity index 100% rename from SurgeData/N=1000/511-peak_c.csv rename to SurgeData/511-peak_c.csv diff --git a/SurgeData/N=1000/511-peak_w.csv b/SurgeData/511-peak_w.csv similarity index 100% rename from SurgeData/N=1000/511-peak_w.csv rename to SurgeData/511-peak_w.csv diff --git a/SurgeData/N=1000/511-surge_c.csv b/SurgeData/511-surge_c.csv similarity index 100% rename from SurgeData/N=1000/511-surge_c.csv rename to SurgeData/511-surge_c.csv diff --git a/SurgeData/N=1000/511-surge_w.csv b/SurgeData/511-surge_w.csv similarity index 100% rename from SurgeData/N=1000/511-surge_w.csv rename to SurgeData/511-surge_w.csv diff --git a/SurgeData/N=1000/511-time_c.csv b/SurgeData/511-time_c.csv similarity index 100% rename from SurgeData/N=1000/511-time_c.csv rename to SurgeData/511-time_c.csv diff --git a/SurgeData/N=1000/511-time_w.csv b/SurgeData/511-time_w.csv similarity index 100% rename from SurgeData/N=1000/511-time_w.csv rename to SurgeData/511-time_w.csv diff --git a/SurgeData/N=1000/511-waterlevel_c.csv b/SurgeData/511-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/511-waterlevel_c.csv rename to SurgeData/511-waterlevel_c.csv diff --git a/SurgeData/N=1000/511-waterlevel_w.csv b/SurgeData/511-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/511-waterlevel_w.csv rename to SurgeData/511-waterlevel_w.csv diff --git a/SurgeData/N=1000/512-peak+year_c.csv b/SurgeData/512-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/512-peak+year_c.csv rename to SurgeData/512-peak+year_c.csv diff --git a/SurgeData/N=1000/512-peak+year_w.csv b/SurgeData/512-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/512-peak+year_w.csv rename to SurgeData/512-peak+year_w.csv diff --git a/SurgeData/N=1000/512-peak_c.csv b/SurgeData/512-peak_c.csv similarity index 100% rename from SurgeData/N=1000/512-peak_c.csv rename to SurgeData/512-peak_c.csv diff --git a/SurgeData/N=1000/512-peak_w.csv b/SurgeData/512-peak_w.csv similarity index 100% rename from SurgeData/N=1000/512-peak_w.csv rename to SurgeData/512-peak_w.csv diff --git a/SurgeData/N=1000/512-surge_c.csv b/SurgeData/512-surge_c.csv similarity index 100% rename from SurgeData/N=1000/512-surge_c.csv rename to SurgeData/512-surge_c.csv diff --git a/SurgeData/N=1000/512-surge_w.csv b/SurgeData/512-surge_w.csv similarity index 100% rename from SurgeData/N=1000/512-surge_w.csv rename to SurgeData/512-surge_w.csv diff --git a/SurgeData/N=1000/512-time_c.csv b/SurgeData/512-time_c.csv similarity index 100% rename from SurgeData/N=1000/512-time_c.csv rename to SurgeData/512-time_c.csv diff --git a/SurgeData/N=1000/512-time_w.csv b/SurgeData/512-time_w.csv similarity index 100% rename from SurgeData/N=1000/512-time_w.csv rename to SurgeData/512-time_w.csv diff --git a/SurgeData/N=1000/512-waterlevel_c.csv b/SurgeData/512-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/512-waterlevel_c.csv rename to SurgeData/512-waterlevel_c.csv diff --git a/SurgeData/N=1000/512-waterlevel_w.csv b/SurgeData/512-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/512-waterlevel_w.csv rename to SurgeData/512-waterlevel_w.csv diff --git a/SurgeData/N=1000/513-peak+year_c.csv b/SurgeData/513-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/513-peak+year_c.csv rename to SurgeData/513-peak+year_c.csv diff --git a/SurgeData/N=1000/513-peak+year_w.csv b/SurgeData/513-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/513-peak+year_w.csv rename to SurgeData/513-peak+year_w.csv diff --git a/SurgeData/N=1000/513-peak_c.csv b/SurgeData/513-peak_c.csv similarity index 100% rename from SurgeData/N=1000/513-peak_c.csv rename to SurgeData/513-peak_c.csv diff --git a/SurgeData/N=1000/513-peak_w.csv b/SurgeData/513-peak_w.csv similarity index 100% rename from SurgeData/N=1000/513-peak_w.csv rename to SurgeData/513-peak_w.csv diff --git a/SurgeData/N=1000/513-surge_c.csv b/SurgeData/513-surge_c.csv similarity index 100% rename from SurgeData/N=1000/513-surge_c.csv rename to SurgeData/513-surge_c.csv diff --git a/SurgeData/N=1000/513-surge_w.csv b/SurgeData/513-surge_w.csv similarity index 100% rename from SurgeData/N=1000/513-surge_w.csv rename to SurgeData/513-surge_w.csv diff --git a/SurgeData/N=1000/513-time_c.csv b/SurgeData/513-time_c.csv similarity index 100% rename from SurgeData/N=1000/513-time_c.csv rename to SurgeData/513-time_c.csv diff --git a/SurgeData/N=1000/513-time_w.csv b/SurgeData/513-time_w.csv similarity index 100% rename from SurgeData/N=1000/513-time_w.csv rename to SurgeData/513-time_w.csv diff --git a/SurgeData/N=1000/513-waterlevel_c.csv b/SurgeData/513-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/513-waterlevel_c.csv rename to SurgeData/513-waterlevel_c.csv diff --git a/SurgeData/N=1000/513-waterlevel_w.csv b/SurgeData/513-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/513-waterlevel_w.csv rename to SurgeData/513-waterlevel_w.csv diff --git a/SurgeData/N=1000/514-peak+year_c.csv b/SurgeData/514-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/514-peak+year_c.csv rename to SurgeData/514-peak+year_c.csv diff --git a/SurgeData/N=1000/514-peak+year_w.csv b/SurgeData/514-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/514-peak+year_w.csv rename to SurgeData/514-peak+year_w.csv diff --git a/SurgeData/N=1000/514-peak_c.csv b/SurgeData/514-peak_c.csv similarity index 100% rename from SurgeData/N=1000/514-peak_c.csv rename to SurgeData/514-peak_c.csv diff --git a/SurgeData/N=1000/514-peak_w.csv b/SurgeData/514-peak_w.csv similarity index 100% rename from SurgeData/N=1000/514-peak_w.csv rename to SurgeData/514-peak_w.csv diff --git a/SurgeData/N=1000/514-surge_c.csv b/SurgeData/514-surge_c.csv similarity index 100% rename from SurgeData/N=1000/514-surge_c.csv rename to SurgeData/514-surge_c.csv diff --git a/SurgeData/N=1000/514-surge_w.csv b/SurgeData/514-surge_w.csv similarity index 100% rename from SurgeData/N=1000/514-surge_w.csv rename to SurgeData/514-surge_w.csv diff --git a/SurgeData/N=1000/514-time_c.csv b/SurgeData/514-time_c.csv similarity index 100% rename from SurgeData/N=1000/514-time_c.csv rename to SurgeData/514-time_c.csv diff --git a/SurgeData/N=1000/514-time_w.csv b/SurgeData/514-time_w.csv similarity index 100% rename from SurgeData/N=1000/514-time_w.csv rename to SurgeData/514-time_w.csv diff --git a/SurgeData/N=1000/514-waterlevel_c.csv b/SurgeData/514-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/514-waterlevel_c.csv rename to SurgeData/514-waterlevel_c.csv diff --git a/SurgeData/N=1000/514-waterlevel_w.csv b/SurgeData/514-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/514-waterlevel_w.csv rename to SurgeData/514-waterlevel_w.csv diff --git a/SurgeData/515-num_storm.csv b/SurgeData/515-num_storm.csv new file mode 100644 index 00000000..a2b4cd0e --- /dev/null +++ b/SurgeData/515-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,5.0 +2022,0.0,3.0 +2023,3.0,4.0 +2024,1.0,8.0 +2025,3.0,3.0 +2026,0.0,6.0 +2027,2.0,2.0 +2028,2.0,4.0 +2029,0.0,1.0 +2030,3.0,5.0 +2031,1.0,2.0 +2032,2.0,1.0 +2033,1.0,6.0 +2034,2.0,3.0 +2035,3.0,6.0 +2036,0.0,5.0 +2037,0.0,4.0 +2038,3.0,5.0 +2039,4.0,2.0 +2040,2.0,2.0 +2041,1.0,5.0 +2042,2.0,4.0 +2043,0.0,3.0 +2044,2.0,4.0 +2045,0.0,3.0 +2046,2.0,1.0 +2047,3.0,5.0 +2048,5.0,1.0 +2049,1.0,2.0 +2050,2.0,5.0 +2051,0.0,4.0 +2052,2.0,2.0 +2053,3.0,2.0 +2054,0.0,5.0 +2055,1.0,5.0 +2056,1.0,1.0 +2057,0.0,4.0 +2058,1.0,8.0 +2059,2.0,5.0 +2060,0.0,5.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,2.0,4.0 +2064,1.0,2.0 +2065,0.0,4.0 +2066,3.0,1.0 +2067,1.0,5.0 +2068,1.0,4.0 +2069,1.0,5.0 +2070,2.0,4.0 +2071,0.0,4.0 +2072,0.0,4.0 +2073,1.0,6.0 +2074,1.0,2.0 +2075,1.0,4.0 +2076,2.0,4.0 +2077,1.0,4.0 +2078,3.0,4.0 +2079,0.0,3.0 +2080,0.0,3.0 +2081,1.0,5.0 +2082,2.0,8.0 +2083,1.0,6.0 +2084,0.0,6.0 +2085,3.0,6.0 +2086,2.0,3.0 +2087,1.0,5.0 +2088,3.0,4.0 +2089,6.0,5.0 +2090,2.0,7.0 +2091,1.0,4.0 +2092,1.0,5.0 +2093,2.0,7.0 +2094,0.0,6.0 +2095,2.0,6.0 +2096,0.0,7.0 +2097,1.0,5.0 +2098,0.0,6.0 +2099,2.0,5.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/515-peak+year_c.csv b/SurgeData/515-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/515-peak+year_c.csv rename to SurgeData/515-peak+year_c.csv diff --git a/SurgeData/N=1000/515-peak+year_w.csv b/SurgeData/515-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/515-peak+year_w.csv rename to SurgeData/515-peak+year_w.csv diff --git a/SurgeData/N=1000/515-peak_c.csv b/SurgeData/515-peak_c.csv similarity index 100% rename from SurgeData/N=1000/515-peak_c.csv rename to SurgeData/515-peak_c.csv diff --git a/SurgeData/N=1000/515-peak_w.csv b/SurgeData/515-peak_w.csv similarity index 100% rename from SurgeData/N=1000/515-peak_w.csv rename to SurgeData/515-peak_w.csv diff --git a/SurgeData/N=1000/515-surge_c.csv b/SurgeData/515-surge_c.csv similarity index 100% rename from SurgeData/N=1000/515-surge_c.csv rename to SurgeData/515-surge_c.csv diff --git a/SurgeData/N=1000/515-surge_w.csv b/SurgeData/515-surge_w.csv similarity index 100% rename from SurgeData/N=1000/515-surge_w.csv rename to SurgeData/515-surge_w.csv diff --git a/SurgeData/N=1000/515-time_c.csv b/SurgeData/515-time_c.csv similarity index 100% rename from SurgeData/N=1000/515-time_c.csv rename to SurgeData/515-time_c.csv diff --git a/SurgeData/N=1000/515-time_w.csv b/SurgeData/515-time_w.csv similarity index 100% rename from SurgeData/N=1000/515-time_w.csv rename to SurgeData/515-time_w.csv diff --git a/SurgeData/N=1000/515-waterlevel_c.csv b/SurgeData/515-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/515-waterlevel_c.csv rename to SurgeData/515-waterlevel_c.csv diff --git a/SurgeData/N=1000/515-waterlevel_w.csv b/SurgeData/515-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/515-waterlevel_w.csv rename to SurgeData/515-waterlevel_w.csv diff --git a/SurgeData/516-num_storm.csv b/SurgeData/516-num_storm.csv new file mode 100644 index 00000000..a519286a --- /dev/null +++ b/SurgeData/516-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,4.0 +2022,1.0,5.0 +2023,2.0,3.0 +2024,0.0,3.0 +2025,1.0,3.0 +2026,0.0,4.0 +2027,2.0,3.0 +2028,4.0,4.0 +2029,2.0,1.0 +2030,1.0,6.0 +2031,1.0,1.0 +2032,1.0,2.0 +2033,0.0,2.0 +2034,0.0,4.0 +2035,1.0,4.0 +2036,0.0,5.0 +2037,1.0,6.0 +2038,3.0,5.0 +2039,2.0,1.0 +2040,1.0,5.0 +2041,2.0,3.0 +2042,1.0,6.0 +2043,4.0,5.0 +2044,0.0,2.0 +2045,1.0,7.0 +2046,1.0,4.0 +2047,1.0,6.0 +2048,2.0,4.0 +2049,1.0,2.0 +2050,2.0,6.0 +2051,2.0,0.0 +2052,1.0,7.0 +2053,0.0,5.0 +2054,1.0,2.0 +2055,1.0,5.0 +2056,0.0,5.0 +2057,1.0,9.0 +2058,1.0,3.0 +2059,2.0,2.0 +2060,4.0,4.0 +2061,1.0,4.0 +2062,1.0,6.0 +2063,3.0,1.0 +2064,0.0,2.0 +2065,2.0,4.0 +2066,1.0,2.0 +2067,2.0,3.0 +2068,2.0,5.0 +2069,1.0,4.0 +2070,1.0,1.0 +2071,1.0,3.0 +2072,3.0,4.0 +2073,1.0,2.0 +2074,0.0,6.0 +2075,3.0,5.0 +2076,4.0,3.0 +2077,1.0,3.0 +2078,1.0,3.0 +2079,0.0,3.0 +2080,1.0,1.0 +2081,3.0,4.0 +2082,2.0,7.0 +2083,3.0,3.0 +2084,1.0,8.0 +2085,2.0,3.0 +2086,1.0,6.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,1.0,6.0 +2090,3.0,2.0 +2091,4.0,5.0 +2092,1.0,5.0 +2093,1.0,4.0 +2094,2.0,9.0 +2095,0.0,4.0 +2096,0.0,3.0 +2097,5.0,1.0 +2098,2.0,5.0 +2099,0.0,3.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/516-peak+year_c.csv b/SurgeData/516-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/516-peak+year_c.csv rename to SurgeData/516-peak+year_c.csv diff --git a/SurgeData/N=1000/516-peak+year_w.csv b/SurgeData/516-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/516-peak+year_w.csv rename to SurgeData/516-peak+year_w.csv diff --git a/SurgeData/N=1000/516-peak_c.csv b/SurgeData/516-peak_c.csv similarity index 100% rename from SurgeData/N=1000/516-peak_c.csv rename to SurgeData/516-peak_c.csv diff --git a/SurgeData/N=1000/516-peak_w.csv b/SurgeData/516-peak_w.csv similarity index 100% rename from SurgeData/N=1000/516-peak_w.csv rename to SurgeData/516-peak_w.csv diff --git a/SurgeData/N=1000/516-surge_c.csv b/SurgeData/516-surge_c.csv similarity index 100% rename from SurgeData/N=1000/516-surge_c.csv rename to SurgeData/516-surge_c.csv diff --git a/SurgeData/N=1000/516-surge_w.csv b/SurgeData/516-surge_w.csv similarity index 100% rename from SurgeData/N=1000/516-surge_w.csv rename to SurgeData/516-surge_w.csv diff --git a/SurgeData/N=1000/516-time_c.csv b/SurgeData/516-time_c.csv similarity index 100% rename from SurgeData/N=1000/516-time_c.csv rename to SurgeData/516-time_c.csv diff --git a/SurgeData/N=1000/516-time_w.csv b/SurgeData/516-time_w.csv similarity index 100% rename from SurgeData/N=1000/516-time_w.csv rename to SurgeData/516-time_w.csv diff --git a/SurgeData/N=1000/516-waterlevel_c.csv b/SurgeData/516-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/516-waterlevel_c.csv rename to SurgeData/516-waterlevel_c.csv diff --git a/SurgeData/N=1000/516-waterlevel_w.csv b/SurgeData/516-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/516-waterlevel_w.csv rename to SurgeData/516-waterlevel_w.csv diff --git a/SurgeData/N=1000/517-peak+year_c.csv b/SurgeData/517-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/517-peak+year_c.csv rename to SurgeData/517-peak+year_c.csv diff --git a/SurgeData/N=1000/517-peak+year_w.csv b/SurgeData/517-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/517-peak+year_w.csv rename to SurgeData/517-peak+year_w.csv diff --git a/SurgeData/N=1000/517-peak_c.csv b/SurgeData/517-peak_c.csv similarity index 100% rename from SurgeData/N=1000/517-peak_c.csv rename to SurgeData/517-peak_c.csv diff --git a/SurgeData/N=1000/517-peak_w.csv b/SurgeData/517-peak_w.csv similarity index 100% rename from SurgeData/N=1000/517-peak_w.csv rename to SurgeData/517-peak_w.csv diff --git a/SurgeData/N=1000/517-surge_c.csv b/SurgeData/517-surge_c.csv similarity index 100% rename from SurgeData/N=1000/517-surge_c.csv rename to SurgeData/517-surge_c.csv diff --git a/SurgeData/N=1000/517-surge_w.csv b/SurgeData/517-surge_w.csv similarity index 100% rename from SurgeData/N=1000/517-surge_w.csv rename to SurgeData/517-surge_w.csv diff --git a/SurgeData/N=1000/517-time_c.csv b/SurgeData/517-time_c.csv similarity index 100% rename from SurgeData/N=1000/517-time_c.csv rename to SurgeData/517-time_c.csv diff --git a/SurgeData/N=1000/517-time_w.csv b/SurgeData/517-time_w.csv similarity index 100% rename from SurgeData/N=1000/517-time_w.csv rename to SurgeData/517-time_w.csv diff --git a/SurgeData/N=1000/517-waterlevel_c.csv b/SurgeData/517-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/517-waterlevel_c.csv rename to SurgeData/517-waterlevel_c.csv diff --git a/SurgeData/N=1000/517-waterlevel_w.csv b/SurgeData/517-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/517-waterlevel_w.csv rename to SurgeData/517-waterlevel_w.csv diff --git a/SurgeData/518-num_storm.csv b/SurgeData/518-num_storm.csv new file mode 100644 index 00000000..b83dc1f1 --- /dev/null +++ b/SurgeData/518-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,3.0 +2022,2.0,2.0 +2023,1.0,1.0 +2024,1.0,2.0 +2025,2.0,6.0 +2026,1.0,3.0 +2027,2.0,5.0 +2028,1.0,4.0 +2029,1.0,5.0 +2030,1.0,8.0 +2031,2.0,6.0 +2032,3.0,3.0 +2033,0.0,3.0 +2034,4.0,4.0 +2035,1.0,5.0 +2036,2.0,2.0 +2037,0.0,3.0 +2038,0.0,7.0 +2039,1.0,6.0 +2040,1.0,5.0 +2041,0.0,7.0 +2042,1.0,4.0 +2043,1.0,7.0 +2044,2.0,0.0 +2045,1.0,3.0 +2046,2.0,3.0 +2047,3.0,3.0 +2048,0.0,3.0 +2049,2.0,5.0 +2050,3.0,3.0 +2051,0.0,5.0 +2052,4.0,7.0 +2053,1.0,4.0 +2054,1.0,2.0 +2055,3.0,4.0 +2056,3.0,8.0 +2057,0.0,1.0 +2058,4.0,5.0 +2059,1.0,3.0 +2060,0.0,3.0 +2061,3.0,2.0 +2062,2.0,4.0 +2063,2.0,4.0 +2064,0.0,7.0 +2065,0.0,4.0 +2066,0.0,6.0 +2067,3.0,7.0 +2068,4.0,5.0 +2069,2.0,6.0 +2070,1.0,5.0 +2071,1.0,5.0 +2072,0.0,6.0 +2073,1.0,4.0 +2074,0.0,5.0 +2075,2.0,3.0 +2076,1.0,3.0 +2077,1.0,5.0 +2078,2.0,3.0 +2079,4.0,2.0 +2080,0.0,1.0 +2081,0.0,4.0 +2082,1.0,7.0 +2083,0.0,6.0 +2084,0.0,1.0 +2085,0.0,3.0 +2086,1.0,2.0 +2087,2.0,5.0 +2088,1.0,4.0 +2089,0.0,3.0 +2090,3.0,6.0 +2091,1.0,5.0 +2092,1.0,9.0 +2093,1.0,2.0 +2094,0.0,7.0 +2095,3.0,0.0 +2096,2.0,4.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,1.0,5.0 +2100,2.0,10.0 diff --git a/SurgeData/N=1000/518-peak+year_c.csv b/SurgeData/518-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/518-peak+year_c.csv rename to SurgeData/518-peak+year_c.csv diff --git a/SurgeData/N=1000/518-peak+year_w.csv b/SurgeData/518-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/518-peak+year_w.csv rename to SurgeData/518-peak+year_w.csv diff --git a/SurgeData/N=1000/518-peak_c.csv b/SurgeData/518-peak_c.csv similarity index 100% rename from SurgeData/N=1000/518-peak_c.csv rename to SurgeData/518-peak_c.csv diff --git a/SurgeData/N=1000/518-peak_w.csv b/SurgeData/518-peak_w.csv similarity index 100% rename from SurgeData/N=1000/518-peak_w.csv rename to SurgeData/518-peak_w.csv diff --git a/SurgeData/N=1000/518-surge_c.csv b/SurgeData/518-surge_c.csv similarity index 100% rename from SurgeData/N=1000/518-surge_c.csv rename to SurgeData/518-surge_c.csv diff --git a/SurgeData/N=1000/518-surge_w.csv b/SurgeData/518-surge_w.csv similarity index 100% rename from SurgeData/N=1000/518-surge_w.csv rename to SurgeData/518-surge_w.csv diff --git a/SurgeData/N=1000/518-time_c.csv b/SurgeData/518-time_c.csv similarity index 100% rename from SurgeData/N=1000/518-time_c.csv rename to SurgeData/518-time_c.csv diff --git a/SurgeData/N=1000/518-time_w.csv b/SurgeData/518-time_w.csv similarity index 100% rename from SurgeData/N=1000/518-time_w.csv rename to SurgeData/518-time_w.csv diff --git a/SurgeData/N=1000/518-waterlevel_c.csv b/SurgeData/518-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/518-waterlevel_c.csv rename to SurgeData/518-waterlevel_c.csv diff --git a/SurgeData/N=1000/518-waterlevel_w.csv b/SurgeData/518-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/518-waterlevel_w.csv rename to SurgeData/518-waterlevel_w.csv diff --git a/SurgeData/519-num_storm.csv b/SurgeData/519-num_storm.csv new file mode 100644 index 00000000..817e3931 --- /dev/null +++ b/SurgeData/519-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,4.0,4.0 +2022,3.0,4.0 +2023,3.0,5.0 +2024,1.0,4.0 +2025,2.0,2.0 +2026,1.0,1.0 +2027,0.0,5.0 +2028,2.0,2.0 +2029,1.0,1.0 +2030,0.0,3.0 +2031,1.0,3.0 +2032,1.0,1.0 +2033,2.0,2.0 +2034,1.0,3.0 +2035,4.0,3.0 +2036,2.0,5.0 +2037,0.0,2.0 +2038,2.0,5.0 +2039,3.0,2.0 +2040,2.0,7.0 +2041,2.0,5.0 +2042,0.0,4.0 +2043,1.0,3.0 +2044,3.0,4.0 +2045,1.0,3.0 +2046,1.0,6.0 +2047,3.0,6.0 +2048,4.0,4.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,1.0,3.0 +2053,0.0,6.0 +2054,1.0,7.0 +2055,1.0,9.0 +2056,1.0,4.0 +2057,4.0,4.0 +2058,1.0,6.0 +2059,0.0,7.0 +2060,0.0,3.0 +2061,4.0,6.0 +2062,1.0,4.0 +2063,1.0,5.0 +2064,0.0,7.0 +2065,2.0,3.0 +2066,2.0,4.0 +2067,3.0,3.0 +2068,0.0,1.0 +2069,3.0,4.0 +2070,0.0,5.0 +2071,0.0,5.0 +2072,1.0,4.0 +2073,2.0,5.0 +2074,3.0,3.0 +2075,0.0,4.0 +2076,3.0,7.0 +2077,0.0,4.0 +2078,3.0,4.0 +2079,3.0,4.0 +2080,0.0,2.0 +2081,0.0,3.0 +2082,0.0,2.0 +2083,1.0,3.0 +2084,0.0,5.0 +2085,3.0,3.0 +2086,0.0,6.0 +2087,1.0,5.0 +2088,0.0,5.0 +2089,4.0,5.0 +2090,0.0,3.0 +2091,2.0,4.0 +2092,0.0,7.0 +2093,1.0,3.0 +2094,3.0,2.0 +2095,1.0,7.0 +2096,1.0,7.0 +2097,2.0,1.0 +2098,1.0,4.0 +2099,1.0,4.0 +2100,2.0,0.0 diff --git a/SurgeData/N=1000/519-peak+year_c.csv b/SurgeData/519-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/519-peak+year_c.csv rename to SurgeData/519-peak+year_c.csv diff --git a/SurgeData/N=1000/519-peak+year_w.csv b/SurgeData/519-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/519-peak+year_w.csv rename to SurgeData/519-peak+year_w.csv diff --git a/SurgeData/N=1000/519-peak_c.csv b/SurgeData/519-peak_c.csv similarity index 100% rename from SurgeData/N=1000/519-peak_c.csv rename to SurgeData/519-peak_c.csv diff --git a/SurgeData/N=1000/519-peak_w.csv b/SurgeData/519-peak_w.csv similarity index 100% rename from SurgeData/N=1000/519-peak_w.csv rename to SurgeData/519-peak_w.csv diff --git a/SurgeData/N=1000/519-surge_c.csv b/SurgeData/519-surge_c.csv similarity index 100% rename from SurgeData/N=1000/519-surge_c.csv rename to SurgeData/519-surge_c.csv diff --git a/SurgeData/N=1000/519-surge_w.csv b/SurgeData/519-surge_w.csv similarity index 100% rename from SurgeData/N=1000/519-surge_w.csv rename to SurgeData/519-surge_w.csv diff --git a/SurgeData/N=1000/519-time_c.csv b/SurgeData/519-time_c.csv similarity index 100% rename from SurgeData/N=1000/519-time_c.csv rename to SurgeData/519-time_c.csv diff --git a/SurgeData/N=1000/519-time_w.csv b/SurgeData/519-time_w.csv similarity index 100% rename from SurgeData/N=1000/519-time_w.csv rename to SurgeData/519-time_w.csv diff --git a/SurgeData/N=1000/519-waterlevel_c.csv b/SurgeData/519-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/519-waterlevel_c.csv rename to SurgeData/519-waterlevel_c.csv diff --git a/SurgeData/N=1000/519-waterlevel_w.csv b/SurgeData/519-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/519-waterlevel_w.csv rename to SurgeData/519-waterlevel_w.csv diff --git a/SurgeData/N=1000/52-peak+year_c.csv b/SurgeData/52-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/52-peak+year_c.csv rename to SurgeData/52-peak+year_c.csv diff --git a/SurgeData/N=1000/52-peak+year_w.csv b/SurgeData/52-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/52-peak+year_w.csv rename to SurgeData/52-peak+year_w.csv diff --git a/SurgeData/N=1000/52-peak_c.csv b/SurgeData/52-peak_c.csv similarity index 100% rename from SurgeData/N=1000/52-peak_c.csv rename to SurgeData/52-peak_c.csv diff --git a/SurgeData/N=1000/52-peak_w.csv b/SurgeData/52-peak_w.csv similarity index 100% rename from SurgeData/N=1000/52-peak_w.csv rename to SurgeData/52-peak_w.csv diff --git a/SurgeData/N=1000/52-surge_c.csv b/SurgeData/52-surge_c.csv similarity index 100% rename from SurgeData/N=1000/52-surge_c.csv rename to SurgeData/52-surge_c.csv diff --git a/SurgeData/N=1000/52-surge_w.csv b/SurgeData/52-surge_w.csv similarity index 100% rename from SurgeData/N=1000/52-surge_w.csv rename to SurgeData/52-surge_w.csv diff --git a/SurgeData/N=1000/52-time_c.csv b/SurgeData/52-time_c.csv similarity index 100% rename from SurgeData/N=1000/52-time_c.csv rename to SurgeData/52-time_c.csv diff --git a/SurgeData/N=1000/52-time_w.csv b/SurgeData/52-time_w.csv similarity index 100% rename from SurgeData/N=1000/52-time_w.csv rename to SurgeData/52-time_w.csv diff --git a/SurgeData/N=1000/52-waterlevel_c.csv b/SurgeData/52-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/52-waterlevel_c.csv rename to SurgeData/52-waterlevel_c.csv diff --git a/SurgeData/N=1000/52-waterlevel_w.csv b/SurgeData/52-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/52-waterlevel_w.csv rename to SurgeData/52-waterlevel_w.csv diff --git a/SurgeData/520-num_storm.csv b/SurgeData/520-num_storm.csv new file mode 100644 index 00000000..e02abf8d --- /dev/null +++ b/SurgeData/520-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,1.0 +2022,1.0,3.0 +2023,1.0,7.0 +2024,4.0,3.0 +2025,0.0,4.0 +2026,3.0,5.0 +2027,2.0,4.0 +2028,4.0,5.0 +2029,1.0,4.0 +2030,2.0,9.0 +2031,0.0,8.0 +2032,2.0,5.0 +2033,2.0,3.0 +2034,0.0,4.0 +2035,1.0,5.0 +2036,5.0,3.0 +2037,2.0,3.0 +2038,3.0,2.0 +2039,2.0,5.0 +2040,3.0,0.0 +2041,0.0,8.0 +2042,5.0,3.0 +2043,0.0,2.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,2.0,1.0 +2047,3.0,11.0 +2048,1.0,3.0 +2049,3.0,5.0 +2050,2.0,3.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,1.0,7.0 +2054,2.0,5.0 +2055,0.0,3.0 +2056,2.0,4.0 +2057,0.0,6.0 +2058,1.0,4.0 +2059,3.0,5.0 +2060,1.0,4.0 +2061,1.0,7.0 +2062,0.0,2.0 +2063,2.0,3.0 +2064,1.0,1.0 +2065,4.0,4.0 +2066,1.0,4.0 +2067,2.0,7.0 +2068,1.0,3.0 +2069,3.0,5.0 +2070,0.0,3.0 +2071,3.0,3.0 +2072,1.0,3.0 +2073,0.0,2.0 +2074,2.0,3.0 +2075,1.0,8.0 +2076,2.0,4.0 +2077,1.0,3.0 +2078,0.0,2.0 +2079,3.0,5.0 +2080,0.0,3.0 +2081,0.0,8.0 +2082,3.0,3.0 +2083,0.0,5.0 +2084,4.0,9.0 +2085,3.0,4.0 +2086,1.0,4.0 +2087,2.0,2.0 +2088,0.0,4.0 +2089,2.0,4.0 +2090,2.0,1.0 +2091,0.0,4.0 +2092,2.0,6.0 +2093,4.0,6.0 +2094,1.0,6.0 +2095,0.0,7.0 +2096,2.0,5.0 +2097,1.0,1.0 +2098,1.0,6.0 +2099,2.0,7.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/520-peak+year_c.csv b/SurgeData/520-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/520-peak+year_c.csv rename to SurgeData/520-peak+year_c.csv diff --git a/SurgeData/N=1000/520-peak+year_w.csv b/SurgeData/520-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/520-peak+year_w.csv rename to SurgeData/520-peak+year_w.csv diff --git a/SurgeData/N=1000/520-peak_c.csv b/SurgeData/520-peak_c.csv similarity index 100% rename from SurgeData/N=1000/520-peak_c.csv rename to SurgeData/520-peak_c.csv diff --git a/SurgeData/N=1000/520-peak_w.csv b/SurgeData/520-peak_w.csv similarity index 100% rename from SurgeData/N=1000/520-peak_w.csv rename to SurgeData/520-peak_w.csv diff --git a/SurgeData/N=1000/520-surge_c.csv b/SurgeData/520-surge_c.csv similarity index 100% rename from SurgeData/N=1000/520-surge_c.csv rename to SurgeData/520-surge_c.csv diff --git a/SurgeData/N=1000/520-surge_w.csv b/SurgeData/520-surge_w.csv similarity index 100% rename from SurgeData/N=1000/520-surge_w.csv rename to SurgeData/520-surge_w.csv diff --git a/SurgeData/N=1000/520-time_c.csv b/SurgeData/520-time_c.csv similarity index 100% rename from SurgeData/N=1000/520-time_c.csv rename to SurgeData/520-time_c.csv diff --git a/SurgeData/N=1000/520-time_w.csv b/SurgeData/520-time_w.csv similarity index 100% rename from SurgeData/N=1000/520-time_w.csv rename to SurgeData/520-time_w.csv diff --git a/SurgeData/N=1000/520-waterlevel_c.csv b/SurgeData/520-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/520-waterlevel_c.csv rename to SurgeData/520-waterlevel_c.csv diff --git a/SurgeData/N=1000/520-waterlevel_w.csv b/SurgeData/520-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/520-waterlevel_w.csv rename to SurgeData/520-waterlevel_w.csv diff --git a/SurgeData/521-num_storm.csv b/SurgeData/521-num_storm.csv new file mode 100644 index 00000000..f8194278 --- /dev/null +++ b/SurgeData/521-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,6.0,5.0 +2022,2.0,3.0 +2023,4.0,5.0 +2024,0.0,3.0 +2025,2.0,1.0 +2026,0.0,2.0 +2027,0.0,4.0 +2028,0.0,7.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,1.0,7.0 +2032,1.0,4.0 +2033,3.0,3.0 +2034,2.0,4.0 +2035,1.0,2.0 +2036,0.0,7.0 +2037,2.0,4.0 +2038,2.0,5.0 +2039,2.0,1.0 +2040,3.0,3.0 +2041,3.0,6.0 +2042,2.0,6.0 +2043,2.0,5.0 +2044,0.0,1.0 +2045,2.0,6.0 +2046,1.0,1.0 +2047,2.0,6.0 +2048,1.0,7.0 +2049,1.0,7.0 +2050,2.0,6.0 +2051,1.0,4.0 +2052,0.0,10.0 +2053,4.0,4.0 +2054,0.0,4.0 +2055,1.0,4.0 +2056,1.0,5.0 +2057,2.0,2.0 +2058,1.0,6.0 +2059,1.0,4.0 +2060,2.0,1.0 +2061,0.0,7.0 +2062,1.0,6.0 +2063,0.0,2.0 +2064,2.0,7.0 +2065,0.0,4.0 +2066,1.0,5.0 +2067,1.0,3.0 +2068,1.0,3.0 +2069,3.0,4.0 +2070,0.0,10.0 +2071,2.0,8.0 +2072,3.0,6.0 +2073,4.0,7.0 +2074,1.0,6.0 +2075,2.0,4.0 +2076,1.0,1.0 +2077,4.0,6.0 +2078,2.0,6.0 +2079,1.0,4.0 +2080,0.0,5.0 +2081,0.0,5.0 +2082,1.0,1.0 +2083,1.0,4.0 +2084,0.0,2.0 +2085,0.0,7.0 +2086,1.0,1.0 +2087,2.0,7.0 +2088,1.0,4.0 +2089,2.0,1.0 +2090,2.0,2.0 +2091,2.0,1.0 +2092,3.0,3.0 +2093,1.0,4.0 +2094,2.0,2.0 +2095,1.0,6.0 +2096,0.0,6.0 +2097,1.0,4.0 +2098,2.0,4.0 +2099,1.0,5.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/521-peak+year_c.csv b/SurgeData/521-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/521-peak+year_c.csv rename to SurgeData/521-peak+year_c.csv diff --git a/SurgeData/N=1000/521-peak+year_w.csv b/SurgeData/521-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/521-peak+year_w.csv rename to SurgeData/521-peak+year_w.csv diff --git a/SurgeData/N=1000/521-peak_c.csv b/SurgeData/521-peak_c.csv similarity index 100% rename from SurgeData/N=1000/521-peak_c.csv rename to SurgeData/521-peak_c.csv diff --git a/SurgeData/N=1000/521-peak_w.csv b/SurgeData/521-peak_w.csv similarity index 100% rename from SurgeData/N=1000/521-peak_w.csv rename to SurgeData/521-peak_w.csv diff --git a/SurgeData/N=1000/521-surge_c.csv b/SurgeData/521-surge_c.csv similarity index 100% rename from SurgeData/N=1000/521-surge_c.csv rename to SurgeData/521-surge_c.csv diff --git a/SurgeData/N=1000/521-surge_w.csv b/SurgeData/521-surge_w.csv similarity index 100% rename from SurgeData/N=1000/521-surge_w.csv rename to SurgeData/521-surge_w.csv diff --git a/SurgeData/N=1000/521-time_c.csv b/SurgeData/521-time_c.csv similarity index 100% rename from SurgeData/N=1000/521-time_c.csv rename to SurgeData/521-time_c.csv diff --git a/SurgeData/N=1000/521-time_w.csv b/SurgeData/521-time_w.csv similarity index 100% rename from SurgeData/N=1000/521-time_w.csv rename to SurgeData/521-time_w.csv diff --git a/SurgeData/N=1000/521-waterlevel_c.csv b/SurgeData/521-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/521-waterlevel_c.csv rename to SurgeData/521-waterlevel_c.csv diff --git a/SurgeData/N=1000/521-waterlevel_w.csv b/SurgeData/521-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/521-waterlevel_w.csv rename to SurgeData/521-waterlevel_w.csv diff --git a/SurgeData/522-num_storm.csv b/SurgeData/522-num_storm.csv new file mode 100644 index 00000000..1603caaa --- /dev/null +++ b/SurgeData/522-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,2.0 +2022,0.0,4.0 +2023,0.0,6.0 +2024,2.0,4.0 +2025,0.0,3.0 +2026,2.0,5.0 +2027,4.0,3.0 +2028,0.0,6.0 +2029,0.0,6.0 +2030,0.0,3.0 +2031,1.0,1.0 +2032,0.0,2.0 +2033,0.0,1.0 +2034,0.0,8.0 +2035,0.0,2.0 +2036,3.0,2.0 +2037,4.0,4.0 +2038,1.0,6.0 +2039,0.0,1.0 +2040,0.0,3.0 +2041,0.0,7.0 +2042,1.0,2.0 +2043,1.0,3.0 +2044,2.0,5.0 +2045,2.0,4.0 +2046,1.0,3.0 +2047,2.0,4.0 +2048,3.0,6.0 +2049,1.0,5.0 +2050,2.0,9.0 +2051,2.0,5.0 +2052,1.0,4.0 +2053,0.0,6.0 +2054,1.0,6.0 +2055,1.0,1.0 +2056,3.0,3.0 +2057,2.0,5.0 +2058,0.0,4.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,5.0,4.0 +2062,1.0,4.0 +2063,0.0,1.0 +2064,1.0,2.0 +2065,1.0,2.0 +2066,4.0,1.0 +2067,3.0,2.0 +2068,1.0,3.0 +2069,5.0,5.0 +2070,1.0,9.0 +2071,0.0,6.0 +2072,1.0,2.0 +2073,1.0,3.0 +2074,0.0,7.0 +2075,1.0,6.0 +2076,1.0,4.0 +2077,0.0,3.0 +2078,2.0,5.0 +2079,2.0,3.0 +2080,5.0,6.0 +2081,0.0,4.0 +2082,1.0,8.0 +2083,1.0,5.0 +2084,2.0,5.0 +2085,0.0,6.0 +2086,2.0,4.0 +2087,1.0,1.0 +2088,1.0,2.0 +2089,1.0,6.0 +2090,4.0,3.0 +2091,2.0,3.0 +2092,1.0,6.0 +2093,1.0,2.0 +2094,1.0,4.0 +2095,3.0,6.0 +2096,2.0,2.0 +2097,2.0,6.0 +2098,2.0,4.0 +2099,1.0,1.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/522-peak+year_c.csv b/SurgeData/522-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/522-peak+year_c.csv rename to SurgeData/522-peak+year_c.csv diff --git a/SurgeData/N=1000/522-peak+year_w.csv b/SurgeData/522-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/522-peak+year_w.csv rename to SurgeData/522-peak+year_w.csv diff --git a/SurgeData/N=1000/522-peak_c.csv b/SurgeData/522-peak_c.csv similarity index 100% rename from SurgeData/N=1000/522-peak_c.csv rename to SurgeData/522-peak_c.csv diff --git a/SurgeData/N=1000/522-peak_w.csv b/SurgeData/522-peak_w.csv similarity index 100% rename from SurgeData/N=1000/522-peak_w.csv rename to SurgeData/522-peak_w.csv diff --git a/SurgeData/N=1000/522-surge_c.csv b/SurgeData/522-surge_c.csv similarity index 100% rename from SurgeData/N=1000/522-surge_c.csv rename to SurgeData/522-surge_c.csv diff --git a/SurgeData/N=1000/522-surge_w.csv b/SurgeData/522-surge_w.csv similarity index 100% rename from SurgeData/N=1000/522-surge_w.csv rename to SurgeData/522-surge_w.csv diff --git a/SurgeData/N=1000/522-time_c.csv b/SurgeData/522-time_c.csv similarity index 100% rename from SurgeData/N=1000/522-time_c.csv rename to SurgeData/522-time_c.csv diff --git a/SurgeData/N=1000/522-time_w.csv b/SurgeData/522-time_w.csv similarity index 100% rename from SurgeData/N=1000/522-time_w.csv rename to SurgeData/522-time_w.csv diff --git a/SurgeData/N=1000/522-waterlevel_c.csv b/SurgeData/522-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/522-waterlevel_c.csv rename to SurgeData/522-waterlevel_c.csv diff --git a/SurgeData/N=1000/522-waterlevel_w.csv b/SurgeData/522-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/522-waterlevel_w.csv rename to SurgeData/522-waterlevel_w.csv diff --git a/SurgeData/N=1000/523-peak+year_c.csv b/SurgeData/523-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/523-peak+year_c.csv rename to SurgeData/523-peak+year_c.csv diff --git a/SurgeData/N=1000/523-peak+year_w.csv b/SurgeData/523-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/523-peak+year_w.csv rename to SurgeData/523-peak+year_w.csv diff --git a/SurgeData/N=1000/523-peak_c.csv b/SurgeData/523-peak_c.csv similarity index 100% rename from SurgeData/N=1000/523-peak_c.csv rename to SurgeData/523-peak_c.csv diff --git a/SurgeData/N=1000/523-peak_w.csv b/SurgeData/523-peak_w.csv similarity index 100% rename from SurgeData/N=1000/523-peak_w.csv rename to SurgeData/523-peak_w.csv diff --git a/SurgeData/N=1000/523-surge_c.csv b/SurgeData/523-surge_c.csv similarity index 100% rename from SurgeData/N=1000/523-surge_c.csv rename to SurgeData/523-surge_c.csv diff --git a/SurgeData/N=1000/523-surge_w.csv b/SurgeData/523-surge_w.csv similarity index 100% rename from SurgeData/N=1000/523-surge_w.csv rename to SurgeData/523-surge_w.csv diff --git a/SurgeData/N=1000/523-time_c.csv b/SurgeData/523-time_c.csv similarity index 100% rename from SurgeData/N=1000/523-time_c.csv rename to SurgeData/523-time_c.csv diff --git a/SurgeData/N=1000/523-time_w.csv b/SurgeData/523-time_w.csv similarity index 100% rename from SurgeData/N=1000/523-time_w.csv rename to SurgeData/523-time_w.csv diff --git a/SurgeData/N=1000/523-waterlevel_c.csv b/SurgeData/523-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/523-waterlevel_c.csv rename to SurgeData/523-waterlevel_c.csv diff --git a/SurgeData/N=1000/523-waterlevel_w.csv b/SurgeData/523-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/523-waterlevel_w.csv rename to SurgeData/523-waterlevel_w.csv diff --git a/SurgeData/524-num_storm.csv b/SurgeData/524-num_storm.csv new file mode 100644 index 00000000..09a6e16b --- /dev/null +++ b/SurgeData/524-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,0.0,3.0 +2022,1.0,4.0 +2023,2.0,4.0 +2024,3.0,4.0 +2025,2.0,4.0 +2026,0.0,3.0 +2027,2.0,2.0 +2028,0.0,3.0 +2029,0.0,2.0 +2030,4.0,2.0 +2031,0.0,8.0 +2032,4.0,6.0 +2033,0.0,6.0 +2034,0.0,4.0 +2035,0.0,2.0 +2036,6.0,3.0 +2037,2.0,5.0 +2038,2.0,4.0 +2039,1.0,3.0 +2040,0.0,2.0 +2041,2.0,4.0 +2042,2.0,3.0 +2043,4.0,8.0 +2044,3.0,3.0 +2045,1.0,3.0 +2046,1.0,2.0 +2047,1.0,6.0 +2048,1.0,5.0 +2049,3.0,2.0 +2050,2.0,8.0 +2051,1.0,8.0 +2052,1.0,3.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,2.0,7.0 +2056,3.0,6.0 +2057,0.0,5.0 +2058,4.0,3.0 +2059,2.0,5.0 +2060,1.0,7.0 +2061,1.0,4.0 +2062,2.0,3.0 +2063,3.0,2.0 +2064,1.0,4.0 +2065,2.0,5.0 +2066,1.0,7.0 +2067,1.0,2.0 +2068,0.0,7.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,2.0,6.0 +2072,1.0,4.0 +2073,0.0,3.0 +2074,2.0,5.0 +2075,1.0,3.0 +2076,2.0,4.0 +2077,0.0,1.0 +2078,1.0,4.0 +2079,1.0,2.0 +2080,0.0,1.0 +2081,2.0,5.0 +2082,1.0,2.0 +2083,2.0,5.0 +2084,4.0,1.0 +2085,1.0,6.0 +2086,5.0,7.0 +2087,0.0,5.0 +2088,3.0,3.0 +2089,1.0,4.0 +2090,1.0,2.0 +2091,2.0,3.0 +2092,0.0,3.0 +2093,4.0,5.0 +2094,1.0,3.0 +2095,1.0,1.0 +2096,1.0,5.0 +2097,0.0,3.0 +2098,2.0,1.0 +2099,1.0,7.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/524-peak+year_c.csv b/SurgeData/524-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/524-peak+year_c.csv rename to SurgeData/524-peak+year_c.csv diff --git a/SurgeData/N=1000/524-peak+year_w.csv b/SurgeData/524-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/524-peak+year_w.csv rename to SurgeData/524-peak+year_w.csv diff --git a/SurgeData/N=1000/524-peak_c.csv b/SurgeData/524-peak_c.csv similarity index 100% rename from SurgeData/N=1000/524-peak_c.csv rename to SurgeData/524-peak_c.csv diff --git a/SurgeData/N=1000/524-peak_w.csv b/SurgeData/524-peak_w.csv similarity index 100% rename from SurgeData/N=1000/524-peak_w.csv rename to SurgeData/524-peak_w.csv diff --git a/SurgeData/N=1000/524-surge_c.csv b/SurgeData/524-surge_c.csv similarity index 100% rename from SurgeData/N=1000/524-surge_c.csv rename to SurgeData/524-surge_c.csv diff --git a/SurgeData/N=1000/524-surge_w.csv b/SurgeData/524-surge_w.csv similarity index 100% rename from SurgeData/N=1000/524-surge_w.csv rename to SurgeData/524-surge_w.csv diff --git a/SurgeData/N=1000/524-time_c.csv b/SurgeData/524-time_c.csv similarity index 100% rename from SurgeData/N=1000/524-time_c.csv rename to SurgeData/524-time_c.csv diff --git a/SurgeData/N=1000/524-time_w.csv b/SurgeData/524-time_w.csv similarity index 100% rename from SurgeData/N=1000/524-time_w.csv rename to SurgeData/524-time_w.csv diff --git a/SurgeData/N=1000/524-waterlevel_c.csv b/SurgeData/524-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/524-waterlevel_c.csv rename to SurgeData/524-waterlevel_c.csv diff --git a/SurgeData/N=1000/524-waterlevel_w.csv b/SurgeData/524-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/524-waterlevel_w.csv rename to SurgeData/524-waterlevel_w.csv diff --git a/SurgeData/525-num_storm.csv b/SurgeData/525-num_storm.csv new file mode 100644 index 00000000..2c1b534e --- /dev/null +++ b/SurgeData/525-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,0.0,3.0 +2022,2.0,7.0 +2023,2.0,2.0 +2024,0.0,2.0 +2025,0.0,5.0 +2026,1.0,3.0 +2027,0.0,4.0 +2028,0.0,4.0 +2029,3.0,5.0 +2030,1.0,5.0 +2031,4.0,4.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,1.0,6.0 +2035,1.0,6.0 +2036,2.0,3.0 +2037,1.0,3.0 +2038,1.0,7.0 +2039,1.0,5.0 +2040,0.0,0.0 +2041,1.0,2.0 +2042,3.0,4.0 +2043,2.0,2.0 +2044,2.0,4.0 +2045,1.0,3.0 +2046,0.0,2.0 +2047,0.0,6.0 +2048,3.0,3.0 +2049,3.0,2.0 +2050,1.0,1.0 +2051,0.0,4.0 +2052,3.0,6.0 +2053,0.0,9.0 +2054,1.0,4.0 +2055,3.0,7.0 +2056,2.0,4.0 +2057,1.0,3.0 +2058,1.0,5.0 +2059,2.0,2.0 +2060,2.0,5.0 +2061,0.0,2.0 +2062,2.0,7.0 +2063,0.0,6.0 +2064,2.0,2.0 +2065,2.0,4.0 +2066,1.0,3.0 +2067,2.0,0.0 +2068,1.0,5.0 +2069,1.0,1.0 +2070,0.0,2.0 +2071,3.0,4.0 +2072,1.0,3.0 +2073,1.0,5.0 +2074,2.0,4.0 +2075,2.0,4.0 +2076,1.0,5.0 +2077,0.0,4.0 +2078,1.0,3.0 +2079,1.0,5.0 +2080,2.0,3.0 +2081,1.0,2.0 +2082,0.0,3.0 +2083,0.0,2.0 +2084,2.0,5.0 +2085,2.0,2.0 +2086,1.0,5.0 +2087,1.0,2.0 +2088,1.0,5.0 +2089,2.0,7.0 +2090,2.0,4.0 +2091,0.0,8.0 +2092,1.0,3.0 +2093,3.0,5.0 +2094,1.0,3.0 +2095,2.0,10.0 +2096,1.0,4.0 +2097,1.0,2.0 +2098,1.0,3.0 +2099,3.0,6.0 +2100,3.0,9.0 diff --git a/SurgeData/N=1000/525-peak+year_c.csv b/SurgeData/525-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/525-peak+year_c.csv rename to SurgeData/525-peak+year_c.csv diff --git a/SurgeData/N=1000/525-peak+year_w.csv b/SurgeData/525-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/525-peak+year_w.csv rename to SurgeData/525-peak+year_w.csv diff --git a/SurgeData/N=1000/525-peak_c.csv b/SurgeData/525-peak_c.csv similarity index 100% rename from SurgeData/N=1000/525-peak_c.csv rename to SurgeData/525-peak_c.csv diff --git a/SurgeData/N=1000/525-peak_w.csv b/SurgeData/525-peak_w.csv similarity index 100% rename from SurgeData/N=1000/525-peak_w.csv rename to SurgeData/525-peak_w.csv diff --git a/SurgeData/N=1000/525-surge_c.csv b/SurgeData/525-surge_c.csv similarity index 100% rename from SurgeData/N=1000/525-surge_c.csv rename to SurgeData/525-surge_c.csv diff --git a/SurgeData/N=1000/525-surge_w.csv b/SurgeData/525-surge_w.csv similarity index 100% rename from SurgeData/N=1000/525-surge_w.csv rename to SurgeData/525-surge_w.csv diff --git a/SurgeData/N=1000/525-time_c.csv b/SurgeData/525-time_c.csv similarity index 100% rename from SurgeData/N=1000/525-time_c.csv rename to SurgeData/525-time_c.csv diff --git a/SurgeData/N=1000/525-time_w.csv b/SurgeData/525-time_w.csv similarity index 100% rename from SurgeData/N=1000/525-time_w.csv rename to SurgeData/525-time_w.csv diff --git a/SurgeData/N=1000/525-waterlevel_c.csv b/SurgeData/525-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/525-waterlevel_c.csv rename to SurgeData/525-waterlevel_c.csv diff --git a/SurgeData/N=1000/525-waterlevel_w.csv b/SurgeData/525-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/525-waterlevel_w.csv rename to SurgeData/525-waterlevel_w.csv diff --git a/SurgeData/526-num_storm.csv b/SurgeData/526-num_storm.csv new file mode 100644 index 00000000..bf1a46ce --- /dev/null +++ b/SurgeData/526-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,3.0,5.0 +2022,1.0,3.0 +2023,0.0,4.0 +2024,2.0,4.0 +2025,2.0,6.0 +2026,3.0,8.0 +2027,3.0,8.0 +2028,3.0,5.0 +2029,2.0,4.0 +2030,2.0,1.0 +2031,1.0,6.0 +2032,0.0,5.0 +2033,2.0,2.0 +2034,2.0,7.0 +2035,0.0,3.0 +2036,4.0,5.0 +2037,0.0,4.0 +2038,0.0,4.0 +2039,2.0,4.0 +2040,0.0,1.0 +2041,0.0,4.0 +2042,1.0,2.0 +2043,2.0,4.0 +2044,1.0,3.0 +2045,1.0,5.0 +2046,1.0,2.0 +2047,0.0,4.0 +2048,1.0,1.0 +2049,1.0,8.0 +2050,1.0,3.0 +2051,3.0,6.0 +2052,1.0,4.0 +2053,3.0,4.0 +2054,0.0,5.0 +2055,3.0,5.0 +2056,4.0,3.0 +2057,2.0,2.0 +2058,0.0,5.0 +2059,1.0,8.0 +2060,2.0,2.0 +2061,0.0,5.0 +2062,1.0,3.0 +2063,2.0,5.0 +2064,1.0,3.0 +2065,2.0,7.0 +2066,4.0,7.0 +2067,2.0,7.0 +2068,1.0,4.0 +2069,1.0,3.0 +2070,0.0,7.0 +2071,0.0,4.0 +2072,2.0,5.0 +2073,1.0,5.0 +2074,4.0,1.0 +2075,4.0,2.0 +2076,1.0,4.0 +2077,0.0,1.0 +2078,4.0,4.0 +2079,2.0,0.0 +2080,1.0,6.0 +2081,2.0,1.0 +2082,2.0,2.0 +2083,3.0,4.0 +2084,0.0,3.0 +2085,2.0,5.0 +2086,0.0,4.0 +2087,2.0,3.0 +2088,4.0,4.0 +2089,2.0,8.0 +2090,1.0,7.0 +2091,1.0,6.0 +2092,4.0,3.0 +2093,1.0,4.0 +2094,1.0,4.0 +2095,1.0,1.0 +2096,1.0,4.0 +2097,2.0,3.0 +2098,0.0,6.0 +2099,0.0,7.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/526-peak+year_c.csv b/SurgeData/526-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/526-peak+year_c.csv rename to SurgeData/526-peak+year_c.csv diff --git a/SurgeData/N=1000/526-peak+year_w.csv b/SurgeData/526-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/526-peak+year_w.csv rename to SurgeData/526-peak+year_w.csv diff --git a/SurgeData/N=1000/526-peak_c.csv b/SurgeData/526-peak_c.csv similarity index 100% rename from SurgeData/N=1000/526-peak_c.csv rename to SurgeData/526-peak_c.csv diff --git a/SurgeData/N=1000/526-peak_w.csv b/SurgeData/526-peak_w.csv similarity index 100% rename from SurgeData/N=1000/526-peak_w.csv rename to SurgeData/526-peak_w.csv diff --git a/SurgeData/N=1000/526-surge_c.csv b/SurgeData/526-surge_c.csv similarity index 100% rename from SurgeData/N=1000/526-surge_c.csv rename to SurgeData/526-surge_c.csv diff --git a/SurgeData/N=1000/526-surge_w.csv b/SurgeData/526-surge_w.csv similarity index 100% rename from SurgeData/N=1000/526-surge_w.csv rename to SurgeData/526-surge_w.csv diff --git a/SurgeData/N=1000/526-time_c.csv b/SurgeData/526-time_c.csv similarity index 100% rename from SurgeData/N=1000/526-time_c.csv rename to SurgeData/526-time_c.csv diff --git a/SurgeData/N=1000/526-time_w.csv b/SurgeData/526-time_w.csv similarity index 100% rename from SurgeData/N=1000/526-time_w.csv rename to SurgeData/526-time_w.csv diff --git a/SurgeData/N=1000/526-waterlevel_c.csv b/SurgeData/526-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/526-waterlevel_c.csv rename to SurgeData/526-waterlevel_c.csv diff --git a/SurgeData/N=1000/526-waterlevel_w.csv b/SurgeData/526-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/526-waterlevel_w.csv rename to SurgeData/526-waterlevel_w.csv diff --git a/SurgeData/527-num_storm.csv b/SurgeData/527-num_storm.csv new file mode 100644 index 00000000..c2494adc --- /dev/null +++ b/SurgeData/527-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,3.0 +2022,2.0,4.0 +2023,0.0,5.0 +2024,2.0,5.0 +2025,0.0,9.0 +2026,2.0,4.0 +2027,1.0,3.0 +2028,0.0,4.0 +2029,0.0,2.0 +2030,1.0,1.0 +2031,0.0,1.0 +2032,2.0,4.0 +2033,1.0,5.0 +2034,3.0,6.0 +2035,3.0,1.0 +2036,2.0,8.0 +2037,2.0,8.0 +2038,4.0,9.0 +2039,1.0,2.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,4.0,10.0 +2043,0.0,2.0 +2044,2.0,4.0 +2045,1.0,7.0 +2046,0.0,3.0 +2047,0.0,4.0 +2048,0.0,3.0 +2049,0.0,5.0 +2050,4.0,3.0 +2051,2.0,4.0 +2052,2.0,4.0 +2053,0.0,1.0 +2054,3.0,2.0 +2055,1.0,4.0 +2056,2.0,6.0 +2057,0.0,4.0 +2058,1.0,7.0 +2059,1.0,7.0 +2060,2.0,2.0 +2061,1.0,1.0 +2062,5.0,5.0 +2063,3.0,4.0 +2064,3.0,2.0 +2065,2.0,6.0 +2066,1.0,6.0 +2067,2.0,5.0 +2068,2.0,1.0 +2069,1.0,5.0 +2070,1.0,2.0 +2071,3.0,2.0 +2072,2.0,7.0 +2073,1.0,5.0 +2074,3.0,3.0 +2075,1.0,2.0 +2076,1.0,4.0 +2077,0.0,5.0 +2078,1.0,4.0 +2079,2.0,6.0 +2080,0.0,2.0 +2081,1.0,2.0 +2082,1.0,4.0 +2083,1.0,6.0 +2084,1.0,5.0 +2085,3.0,6.0 +2086,3.0,5.0 +2087,1.0,3.0 +2088,2.0,3.0 +2089,0.0,2.0 +2090,0.0,2.0 +2091,4.0,2.0 +2092,0.0,7.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,1.0,5.0 +2096,2.0,1.0 +2097,1.0,4.0 +2098,3.0,4.0 +2099,1.0,8.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/527-peak+year_c.csv b/SurgeData/527-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/527-peak+year_c.csv rename to SurgeData/527-peak+year_c.csv diff --git a/SurgeData/N=1000/527-peak+year_w.csv b/SurgeData/527-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/527-peak+year_w.csv rename to SurgeData/527-peak+year_w.csv diff --git a/SurgeData/N=1000/527-peak_c.csv b/SurgeData/527-peak_c.csv similarity index 100% rename from SurgeData/N=1000/527-peak_c.csv rename to SurgeData/527-peak_c.csv diff --git a/SurgeData/N=1000/527-peak_w.csv b/SurgeData/527-peak_w.csv similarity index 100% rename from SurgeData/N=1000/527-peak_w.csv rename to SurgeData/527-peak_w.csv diff --git a/SurgeData/N=1000/527-surge_c.csv b/SurgeData/527-surge_c.csv similarity index 100% rename from SurgeData/N=1000/527-surge_c.csv rename to SurgeData/527-surge_c.csv diff --git a/SurgeData/N=1000/527-surge_w.csv b/SurgeData/527-surge_w.csv similarity index 100% rename from SurgeData/N=1000/527-surge_w.csv rename to SurgeData/527-surge_w.csv diff --git a/SurgeData/N=1000/527-time_c.csv b/SurgeData/527-time_c.csv similarity index 100% rename from SurgeData/N=1000/527-time_c.csv rename to SurgeData/527-time_c.csv diff --git a/SurgeData/N=1000/527-time_w.csv b/SurgeData/527-time_w.csv similarity index 100% rename from SurgeData/N=1000/527-time_w.csv rename to SurgeData/527-time_w.csv diff --git a/SurgeData/N=1000/527-waterlevel_c.csv b/SurgeData/527-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/527-waterlevel_c.csv rename to SurgeData/527-waterlevel_c.csv diff --git a/SurgeData/N=1000/527-waterlevel_w.csv b/SurgeData/527-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/527-waterlevel_w.csv rename to SurgeData/527-waterlevel_w.csv diff --git a/SurgeData/528-num_storm.csv b/SurgeData/528-num_storm.csv new file mode 100644 index 00000000..4b692a0a --- /dev/null +++ b/SurgeData/528-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,7.0 +2021,1.0,8.0 +2022,0.0,2.0 +2023,1.0,4.0 +2024,2.0,1.0 +2025,1.0,7.0 +2026,0.0,4.0 +2027,2.0,4.0 +2028,2.0,2.0 +2029,1.0,2.0 +2030,1.0,2.0 +2031,1.0,3.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,0.0,6.0 +2035,2.0,5.0 +2036,3.0,0.0 +2037,3.0,9.0 +2038,2.0,1.0 +2039,1.0,10.0 +2040,0.0,3.0 +2041,0.0,6.0 +2042,1.0,3.0 +2043,2.0,2.0 +2044,1.0,1.0 +2045,2.0,3.0 +2046,2.0,1.0 +2047,3.0,3.0 +2048,5.0,0.0 +2049,1.0,5.0 +2050,2.0,7.0 +2051,1.0,5.0 +2052,3.0,4.0 +2053,1.0,6.0 +2054,0.0,7.0 +2055,1.0,1.0 +2056,1.0,3.0 +2057,2.0,8.0 +2058,2.0,6.0 +2059,0.0,4.0 +2060,0.0,2.0 +2061,0.0,4.0 +2062,1.0,10.0 +2063,0.0,5.0 +2064,1.0,5.0 +2065,3.0,4.0 +2066,4.0,7.0 +2067,1.0,5.0 +2068,1.0,5.0 +2069,2.0,7.0 +2070,1.0,5.0 +2071,3.0,5.0 +2072,2.0,3.0 +2073,3.0,2.0 +2074,0.0,4.0 +2075,0.0,7.0 +2076,0.0,6.0 +2077,1.0,5.0 +2078,1.0,3.0 +2079,3.0,1.0 +2080,2.0,5.0 +2081,2.0,4.0 +2082,2.0,6.0 +2083,0.0,4.0 +2084,1.0,4.0 +2085,2.0,5.0 +2086,2.0,5.0 +2087,3.0,3.0 +2088,2.0,3.0 +2089,3.0,5.0 +2090,1.0,5.0 +2091,0.0,4.0 +2092,1.0,8.0 +2093,0.0,4.0 +2094,0.0,5.0 +2095,2.0,4.0 +2096,3.0,7.0 +2097,4.0,5.0 +2098,2.0,3.0 +2099,1.0,2.0 +2100,2.0,8.0 diff --git a/SurgeData/N=1000/528-peak+year_c.csv b/SurgeData/528-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/528-peak+year_c.csv rename to SurgeData/528-peak+year_c.csv diff --git a/SurgeData/N=1000/528-peak+year_w.csv b/SurgeData/528-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/528-peak+year_w.csv rename to SurgeData/528-peak+year_w.csv diff --git a/SurgeData/N=1000/528-peak_c.csv b/SurgeData/528-peak_c.csv similarity index 100% rename from SurgeData/N=1000/528-peak_c.csv rename to SurgeData/528-peak_c.csv diff --git a/SurgeData/N=1000/528-peak_w.csv b/SurgeData/528-peak_w.csv similarity index 100% rename from SurgeData/N=1000/528-peak_w.csv rename to SurgeData/528-peak_w.csv diff --git a/SurgeData/N=1000/528-surge_c.csv b/SurgeData/528-surge_c.csv similarity index 100% rename from SurgeData/N=1000/528-surge_c.csv rename to SurgeData/528-surge_c.csv diff --git a/SurgeData/N=1000/528-surge_w.csv b/SurgeData/528-surge_w.csv similarity index 100% rename from SurgeData/N=1000/528-surge_w.csv rename to SurgeData/528-surge_w.csv diff --git a/SurgeData/N=1000/528-time_c.csv b/SurgeData/528-time_c.csv similarity index 100% rename from SurgeData/N=1000/528-time_c.csv rename to SurgeData/528-time_c.csv diff --git a/SurgeData/N=1000/528-time_w.csv b/SurgeData/528-time_w.csv similarity index 100% rename from SurgeData/N=1000/528-time_w.csv rename to SurgeData/528-time_w.csv diff --git a/SurgeData/N=1000/528-waterlevel_c.csv b/SurgeData/528-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/528-waterlevel_c.csv rename to SurgeData/528-waterlevel_c.csv diff --git a/SurgeData/N=1000/528-waterlevel_w.csv b/SurgeData/528-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/528-waterlevel_w.csv rename to SurgeData/528-waterlevel_w.csv diff --git a/SurgeData/529-num_storm.csv b/SurgeData/529-num_storm.csv new file mode 100644 index 00000000..6585ceab --- /dev/null +++ b/SurgeData/529-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,2.0 +2022,2.0,4.0 +2023,3.0,9.0 +2024,1.0,1.0 +2025,5.0,3.0 +2026,1.0,1.0 +2027,0.0,2.0 +2028,0.0,4.0 +2029,1.0,6.0 +2030,2.0,6.0 +2031,1.0,6.0 +2032,2.0,4.0 +2033,3.0,4.0 +2034,3.0,3.0 +2035,3.0,3.0 +2036,1.0,1.0 +2037,1.0,5.0 +2038,2.0,1.0 +2039,1.0,5.0 +2040,1.0,8.0 +2041,0.0,5.0 +2042,0.0,5.0 +2043,1.0,5.0 +2044,2.0,7.0 +2045,2.0,4.0 +2046,2.0,1.0 +2047,3.0,1.0 +2048,2.0,1.0 +2049,3.0,3.0 +2050,3.0,6.0 +2051,1.0,2.0 +2052,0.0,4.0 +2053,2.0,2.0 +2054,0.0,3.0 +2055,1.0,5.0 +2056,3.0,8.0 +2057,1.0,4.0 +2058,3.0,4.0 +2059,3.0,1.0 +2060,1.0,5.0 +2061,0.0,4.0 +2062,1.0,3.0 +2063,4.0,4.0 +2064,2.0,6.0 +2065,0.0,5.0 +2066,0.0,4.0 +2067,0.0,2.0 +2068,1.0,3.0 +2069,2.0,1.0 +2070,3.0,6.0 +2071,2.0,1.0 +2072,1.0,2.0 +2073,1.0,5.0 +2074,4.0,5.0 +2075,2.0,4.0 +2076,0.0,5.0 +2077,1.0,5.0 +2078,0.0,1.0 +2079,1.0,3.0 +2080,2.0,2.0 +2081,3.0,3.0 +2082,1.0,5.0 +2083,4.0,3.0 +2084,0.0,5.0 +2085,1.0,1.0 +2086,2.0,4.0 +2087,1.0,5.0 +2088,3.0,4.0 +2089,3.0,4.0 +2090,2.0,2.0 +2091,1.0,7.0 +2092,1.0,5.0 +2093,0.0,6.0 +2094,1.0,4.0 +2095,2.0,3.0 +2096,1.0,3.0 +2097,2.0,2.0 +2098,2.0,7.0 +2099,1.0,6.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/529-peak+year_c.csv b/SurgeData/529-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/529-peak+year_c.csv rename to SurgeData/529-peak+year_c.csv diff --git a/SurgeData/N=1000/529-peak+year_w.csv b/SurgeData/529-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/529-peak+year_w.csv rename to SurgeData/529-peak+year_w.csv diff --git a/SurgeData/N=1000/529-peak_c.csv b/SurgeData/529-peak_c.csv similarity index 100% rename from SurgeData/N=1000/529-peak_c.csv rename to SurgeData/529-peak_c.csv diff --git a/SurgeData/N=1000/529-peak_w.csv b/SurgeData/529-peak_w.csv similarity index 100% rename from SurgeData/N=1000/529-peak_w.csv rename to SurgeData/529-peak_w.csv diff --git a/SurgeData/N=1000/529-surge_c.csv b/SurgeData/529-surge_c.csv similarity index 100% rename from SurgeData/N=1000/529-surge_c.csv rename to SurgeData/529-surge_c.csv diff --git a/SurgeData/N=1000/529-surge_w.csv b/SurgeData/529-surge_w.csv similarity index 100% rename from SurgeData/N=1000/529-surge_w.csv rename to SurgeData/529-surge_w.csv diff --git a/SurgeData/N=1000/529-time_c.csv b/SurgeData/529-time_c.csv similarity index 100% rename from SurgeData/N=1000/529-time_c.csv rename to SurgeData/529-time_c.csv diff --git a/SurgeData/N=1000/529-time_w.csv b/SurgeData/529-time_w.csv similarity index 100% rename from SurgeData/N=1000/529-time_w.csv rename to SurgeData/529-time_w.csv diff --git a/SurgeData/N=1000/529-waterlevel_c.csv b/SurgeData/529-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/529-waterlevel_c.csv rename to SurgeData/529-waterlevel_c.csv diff --git a/SurgeData/N=1000/529-waterlevel_w.csv b/SurgeData/529-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/529-waterlevel_w.csv rename to SurgeData/529-waterlevel_w.csv diff --git a/SurgeData/N=1000/53-peak+year_c.csv b/SurgeData/53-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/53-peak+year_c.csv rename to SurgeData/53-peak+year_c.csv diff --git a/SurgeData/N=1000/53-peak+year_w.csv b/SurgeData/53-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/53-peak+year_w.csv rename to SurgeData/53-peak+year_w.csv diff --git a/SurgeData/N=1000/53-peak_c.csv b/SurgeData/53-peak_c.csv similarity index 100% rename from SurgeData/N=1000/53-peak_c.csv rename to SurgeData/53-peak_c.csv diff --git a/SurgeData/N=1000/53-peak_w.csv b/SurgeData/53-peak_w.csv similarity index 100% rename from SurgeData/N=1000/53-peak_w.csv rename to SurgeData/53-peak_w.csv diff --git a/SurgeData/N=1000/53-surge_c.csv b/SurgeData/53-surge_c.csv similarity index 100% rename from SurgeData/N=1000/53-surge_c.csv rename to SurgeData/53-surge_c.csv diff --git a/SurgeData/N=1000/53-surge_w.csv b/SurgeData/53-surge_w.csv similarity index 100% rename from SurgeData/N=1000/53-surge_w.csv rename to SurgeData/53-surge_w.csv diff --git a/SurgeData/N=1000/53-time_c.csv b/SurgeData/53-time_c.csv similarity index 100% rename from SurgeData/N=1000/53-time_c.csv rename to SurgeData/53-time_c.csv diff --git a/SurgeData/N=1000/53-time_w.csv b/SurgeData/53-time_w.csv similarity index 100% rename from SurgeData/N=1000/53-time_w.csv rename to SurgeData/53-time_w.csv diff --git a/SurgeData/N=1000/53-waterlevel_c.csv b/SurgeData/53-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/53-waterlevel_c.csv rename to SurgeData/53-waterlevel_c.csv diff --git a/SurgeData/N=1000/53-waterlevel_w.csv b/SurgeData/53-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/53-waterlevel_w.csv rename to SurgeData/53-waterlevel_w.csv diff --git a/SurgeData/530-num_storm.csv b/SurgeData/530-num_storm.csv new file mode 100644 index 00000000..4714f191 --- /dev/null +++ b/SurgeData/530-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,4.0,2.0 +2022,1.0,4.0 +2023,0.0,2.0 +2024,0.0,2.0 +2025,0.0,4.0 +2026,2.0,3.0 +2027,1.0,3.0 +2028,1.0,4.0 +2029,1.0,2.0 +2030,2.0,3.0 +2031,0.0,6.0 +2032,1.0,5.0 +2033,2.0,7.0 +2034,1.0,5.0 +2035,1.0,6.0 +2036,0.0,6.0 +2037,0.0,8.0 +2038,2.0,2.0 +2039,1.0,2.0 +2040,3.0,7.0 +2041,1.0,3.0 +2042,2.0,6.0 +2043,1.0,3.0 +2044,1.0,3.0 +2045,2.0,4.0 +2046,5.0,5.0 +2047,1.0,4.0 +2048,2.0,7.0 +2049,0.0,2.0 +2050,0.0,3.0 +2051,2.0,4.0 +2052,0.0,1.0 +2053,3.0,3.0 +2054,1.0,8.0 +2055,1.0,3.0 +2056,4.0,3.0 +2057,1.0,10.0 +2058,2.0,9.0 +2059,1.0,6.0 +2060,2.0,5.0 +2061,3.0,2.0 +2062,0.0,8.0 +2063,3.0,3.0 +2064,0.0,1.0 +2065,2.0,7.0 +2066,1.0,10.0 +2067,2.0,6.0 +2068,1.0,5.0 +2069,1.0,3.0 +2070,1.0,10.0 +2071,5.0,2.0 +2072,4.0,1.0 +2073,1.0,3.0 +2074,0.0,7.0 +2075,0.0,1.0 +2076,1.0,4.0 +2077,1.0,5.0 +2078,1.0,5.0 +2079,2.0,6.0 +2080,2.0,5.0 +2081,0.0,2.0 +2082,1.0,4.0 +2083,1.0,7.0 +2084,1.0,3.0 +2085,1.0,2.0 +2086,3.0,6.0 +2087,2.0,4.0 +2088,2.0,6.0 +2089,2.0,7.0 +2090,0.0,3.0 +2091,2.0,2.0 +2092,1.0,5.0 +2093,1.0,4.0 +2094,2.0,2.0 +2095,1.0,2.0 +2096,1.0,7.0 +2097,3.0,5.0 +2098,0.0,4.0 +2099,1.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/530-peak+year_c.csv b/SurgeData/530-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/530-peak+year_c.csv rename to SurgeData/530-peak+year_c.csv diff --git a/SurgeData/N=1000/530-peak+year_w.csv b/SurgeData/530-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/530-peak+year_w.csv rename to SurgeData/530-peak+year_w.csv diff --git a/SurgeData/N=1000/530-peak_c.csv b/SurgeData/530-peak_c.csv similarity index 100% rename from SurgeData/N=1000/530-peak_c.csv rename to SurgeData/530-peak_c.csv diff --git a/SurgeData/N=1000/530-peak_w.csv b/SurgeData/530-peak_w.csv similarity index 100% rename from SurgeData/N=1000/530-peak_w.csv rename to SurgeData/530-peak_w.csv diff --git a/SurgeData/N=1000/530-surge_c.csv b/SurgeData/530-surge_c.csv similarity index 100% rename from SurgeData/N=1000/530-surge_c.csv rename to SurgeData/530-surge_c.csv diff --git a/SurgeData/N=1000/530-surge_w.csv b/SurgeData/530-surge_w.csv similarity index 100% rename from SurgeData/N=1000/530-surge_w.csv rename to SurgeData/530-surge_w.csv diff --git a/SurgeData/N=1000/530-time_c.csv b/SurgeData/530-time_c.csv similarity index 100% rename from SurgeData/N=1000/530-time_c.csv rename to SurgeData/530-time_c.csv diff --git a/SurgeData/N=1000/530-time_w.csv b/SurgeData/530-time_w.csv similarity index 100% rename from SurgeData/N=1000/530-time_w.csv rename to SurgeData/530-time_w.csv diff --git a/SurgeData/N=1000/530-waterlevel_c.csv b/SurgeData/530-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/530-waterlevel_c.csv rename to SurgeData/530-waterlevel_c.csv diff --git a/SurgeData/N=1000/530-waterlevel_w.csv b/SurgeData/530-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/530-waterlevel_w.csv rename to SurgeData/530-waterlevel_w.csv diff --git a/SurgeData/531-num_storm.csv b/SurgeData/531-num_storm.csv new file mode 100644 index 00000000..7f7c0db6 --- /dev/null +++ b/SurgeData/531-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,3.0 +2022,2.0,7.0 +2023,1.0,1.0 +2024,1.0,5.0 +2025,1.0,4.0 +2026,1.0,6.0 +2027,2.0,3.0 +2028,4.0,2.0 +2029,1.0,7.0 +2030,0.0,4.0 +2031,1.0,2.0 +2032,3.0,2.0 +2033,2.0,4.0 +2034,0.0,5.0 +2035,1.0,8.0 +2036,1.0,3.0 +2037,0.0,0.0 +2038,1.0,4.0 +2039,1.0,6.0 +2040,0.0,8.0 +2041,2.0,3.0 +2042,3.0,3.0 +2043,1.0,6.0 +2044,0.0,4.0 +2045,2.0,6.0 +2046,2.0,4.0 +2047,2.0,2.0 +2048,4.0,7.0 +2049,1.0,1.0 +2050,1.0,3.0 +2051,0.0,2.0 +2052,2.0,4.0 +2053,1.0,5.0 +2054,4.0,4.0 +2055,2.0,3.0 +2056,0.0,1.0 +2057,2.0,4.0 +2058,0.0,2.0 +2059,1.0,4.0 +2060,2.0,3.0 +2061,0.0,1.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,1.0,2.0 +2065,2.0,4.0 +2066,2.0,7.0 +2067,0.0,4.0 +2068,0.0,2.0 +2069,1.0,3.0 +2070,2.0,7.0 +2071,1.0,4.0 +2072,0.0,4.0 +2073,0.0,5.0 +2074,0.0,5.0 +2075,5.0,3.0 +2076,2.0,4.0 +2077,0.0,8.0 +2078,1.0,5.0 +2079,1.0,4.0 +2080,2.0,4.0 +2081,0.0,6.0 +2082,2.0,3.0 +2083,0.0,8.0 +2084,2.0,5.0 +2085,4.0,4.0 +2086,1.0,4.0 +2087,1.0,2.0 +2088,0.0,4.0 +2089,0.0,4.0 +2090,2.0,4.0 +2091,1.0,5.0 +2092,2.0,2.0 +2093,3.0,2.0 +2094,3.0,3.0 +2095,3.0,1.0 +2096,3.0,7.0 +2097,0.0,7.0 +2098,2.0,3.0 +2099,2.0,5.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/531-peak+year_c.csv b/SurgeData/531-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/531-peak+year_c.csv rename to SurgeData/531-peak+year_c.csv diff --git a/SurgeData/N=1000/531-peak+year_w.csv b/SurgeData/531-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/531-peak+year_w.csv rename to SurgeData/531-peak+year_w.csv diff --git a/SurgeData/N=1000/531-peak_c.csv b/SurgeData/531-peak_c.csv similarity index 100% rename from SurgeData/N=1000/531-peak_c.csv rename to SurgeData/531-peak_c.csv diff --git a/SurgeData/N=1000/531-peak_w.csv b/SurgeData/531-peak_w.csv similarity index 100% rename from SurgeData/N=1000/531-peak_w.csv rename to SurgeData/531-peak_w.csv diff --git a/SurgeData/N=1000/531-surge_c.csv b/SurgeData/531-surge_c.csv similarity index 100% rename from SurgeData/N=1000/531-surge_c.csv rename to SurgeData/531-surge_c.csv diff --git a/SurgeData/N=1000/531-surge_w.csv b/SurgeData/531-surge_w.csv similarity index 100% rename from SurgeData/N=1000/531-surge_w.csv rename to SurgeData/531-surge_w.csv diff --git a/SurgeData/N=1000/531-time_c.csv b/SurgeData/531-time_c.csv similarity index 100% rename from SurgeData/N=1000/531-time_c.csv rename to SurgeData/531-time_c.csv diff --git a/SurgeData/N=1000/531-time_w.csv b/SurgeData/531-time_w.csv similarity index 100% rename from SurgeData/N=1000/531-time_w.csv rename to SurgeData/531-time_w.csv diff --git a/SurgeData/N=1000/531-waterlevel_c.csv b/SurgeData/531-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/531-waterlevel_c.csv rename to SurgeData/531-waterlevel_c.csv diff --git a/SurgeData/N=1000/531-waterlevel_w.csv b/SurgeData/531-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/531-waterlevel_w.csv rename to SurgeData/531-waterlevel_w.csv diff --git a/SurgeData/532-num_storm.csv b/SurgeData/532-num_storm.csv new file mode 100644 index 00000000..2bc02610 --- /dev/null +++ b/SurgeData/532-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,4.0 +2022,2.0,2.0 +2023,1.0,2.0 +2024,2.0,6.0 +2025,3.0,3.0 +2026,1.0,5.0 +2027,2.0,3.0 +2028,2.0,2.0 +2029,1.0,6.0 +2030,4.0,4.0 +2031,0.0,2.0 +2032,3.0,6.0 +2033,4.0,4.0 +2034,1.0,5.0 +2035,2.0,4.0 +2036,1.0,3.0 +2037,2.0,0.0 +2038,1.0,2.0 +2039,1.0,4.0 +2040,2.0,5.0 +2041,1.0,2.0 +2042,1.0,3.0 +2043,0.0,5.0 +2044,5.0,5.0 +2045,2.0,6.0 +2046,1.0,3.0 +2047,1.0,7.0 +2048,4.0,1.0 +2049,1.0,8.0 +2050,1.0,3.0 +2051,3.0,2.0 +2052,0.0,5.0 +2053,2.0,5.0 +2054,0.0,2.0 +2055,2.0,5.0 +2056,2.0,5.0 +2057,0.0,5.0 +2058,0.0,4.0 +2059,2.0,1.0 +2060,2.0,4.0 +2061,0.0,5.0 +2062,3.0,2.0 +2063,0.0,7.0 +2064,1.0,4.0 +2065,0.0,2.0 +2066,2.0,5.0 +2067,1.0,1.0 +2068,1.0,9.0 +2069,2.0,5.0 +2070,2.0,3.0 +2071,3.0,8.0 +2072,3.0,2.0 +2073,2.0,5.0 +2074,1.0,6.0 +2075,3.0,4.0 +2076,2.0,5.0 +2077,1.0,3.0 +2078,1.0,1.0 +2079,4.0,5.0 +2080,1.0,4.0 +2081,3.0,2.0 +2082,0.0,1.0 +2083,3.0,2.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,0.0,5.0 +2087,1.0,2.0 +2088,1.0,2.0 +2089,2.0,4.0 +2090,0.0,2.0 +2091,0.0,5.0 +2092,2.0,2.0 +2093,3.0,3.0 +2094,3.0,6.0 +2095,4.0,3.0 +2096,3.0,2.0 +2097,1.0,5.0 +2098,0.0,6.0 +2099,1.0,7.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/532-peak+year_c.csv b/SurgeData/532-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/532-peak+year_c.csv rename to SurgeData/532-peak+year_c.csv diff --git a/SurgeData/N=1000/532-peak+year_w.csv b/SurgeData/532-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/532-peak+year_w.csv rename to SurgeData/532-peak+year_w.csv diff --git a/SurgeData/N=1000/532-peak_c.csv b/SurgeData/532-peak_c.csv similarity index 100% rename from SurgeData/N=1000/532-peak_c.csv rename to SurgeData/532-peak_c.csv diff --git a/SurgeData/N=1000/532-peak_w.csv b/SurgeData/532-peak_w.csv similarity index 100% rename from SurgeData/N=1000/532-peak_w.csv rename to SurgeData/532-peak_w.csv diff --git a/SurgeData/N=1000/532-surge_c.csv b/SurgeData/532-surge_c.csv similarity index 100% rename from SurgeData/N=1000/532-surge_c.csv rename to SurgeData/532-surge_c.csv diff --git a/SurgeData/N=1000/532-surge_w.csv b/SurgeData/532-surge_w.csv similarity index 100% rename from SurgeData/N=1000/532-surge_w.csv rename to SurgeData/532-surge_w.csv diff --git a/SurgeData/N=1000/532-time_c.csv b/SurgeData/532-time_c.csv similarity index 100% rename from SurgeData/N=1000/532-time_c.csv rename to SurgeData/532-time_c.csv diff --git a/SurgeData/N=1000/532-time_w.csv b/SurgeData/532-time_w.csv similarity index 100% rename from SurgeData/N=1000/532-time_w.csv rename to SurgeData/532-time_w.csv diff --git a/SurgeData/N=1000/532-waterlevel_c.csv b/SurgeData/532-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/532-waterlevel_c.csv rename to SurgeData/532-waterlevel_c.csv diff --git a/SurgeData/N=1000/532-waterlevel_w.csv b/SurgeData/532-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/532-waterlevel_w.csv rename to SurgeData/532-waterlevel_w.csv diff --git a/SurgeData/533-num_storm.csv b/SurgeData/533-num_storm.csv new file mode 100644 index 00000000..542e193f --- /dev/null +++ b/SurgeData/533-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,6.0,5.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,0.0,6.0 +2025,2.0,7.0 +2026,2.0,1.0 +2027,1.0,4.0 +2028,4.0,2.0 +2029,2.0,4.0 +2030,2.0,3.0 +2031,5.0,1.0 +2032,3.0,8.0 +2033,1.0,2.0 +2034,1.0,4.0 +2035,1.0,7.0 +2036,4.0,3.0 +2037,1.0,2.0 +2038,0.0,2.0 +2039,1.0,4.0 +2040,3.0,3.0 +2041,2.0,11.0 +2042,3.0,1.0 +2043,1.0,1.0 +2044,0.0,1.0 +2045,1.0,2.0 +2046,2.0,2.0 +2047,0.0,4.0 +2048,3.0,3.0 +2049,0.0,5.0 +2050,0.0,7.0 +2051,4.0,5.0 +2052,1.0,4.0 +2053,2.0,2.0 +2054,4.0,6.0 +2055,3.0,5.0 +2056,1.0,4.0 +2057,4.0,5.0 +2058,1.0,6.0 +2059,0.0,3.0 +2060,1.0,6.0 +2061,2.0,5.0 +2062,0.0,4.0 +2063,2.0,2.0 +2064,2.0,5.0 +2065,1.0,9.0 +2066,0.0,5.0 +2067,1.0,2.0 +2068,1.0,8.0 +2069,1.0,2.0 +2070,3.0,7.0 +2071,1.0,6.0 +2072,2.0,4.0 +2073,0.0,7.0 +2074,1.0,4.0 +2075,4.0,9.0 +2076,2.0,4.0 +2077,2.0,2.0 +2078,5.0,0.0 +2079,2.0,1.0 +2080,2.0,3.0 +2081,2.0,2.0 +2082,2.0,2.0 +2083,4.0,4.0 +2084,2.0,8.0 +2085,3.0,3.0 +2086,1.0,5.0 +2087,2.0,4.0 +2088,1.0,4.0 +2089,2.0,5.0 +2090,0.0,6.0 +2091,1.0,9.0 +2092,0.0,4.0 +2093,0.0,8.0 +2094,3.0,3.0 +2095,0.0,2.0 +2096,2.0,4.0 +2097,1.0,2.0 +2098,0.0,0.0 +2099,2.0,5.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/533-peak+year_c.csv b/SurgeData/533-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/533-peak+year_c.csv rename to SurgeData/533-peak+year_c.csv diff --git a/SurgeData/N=1000/533-peak+year_w.csv b/SurgeData/533-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/533-peak+year_w.csv rename to SurgeData/533-peak+year_w.csv diff --git a/SurgeData/N=1000/533-peak_c.csv b/SurgeData/533-peak_c.csv similarity index 100% rename from SurgeData/N=1000/533-peak_c.csv rename to SurgeData/533-peak_c.csv diff --git a/SurgeData/N=1000/533-peak_w.csv b/SurgeData/533-peak_w.csv similarity index 100% rename from SurgeData/N=1000/533-peak_w.csv rename to SurgeData/533-peak_w.csv diff --git a/SurgeData/N=1000/533-surge_c.csv b/SurgeData/533-surge_c.csv similarity index 100% rename from SurgeData/N=1000/533-surge_c.csv rename to SurgeData/533-surge_c.csv diff --git a/SurgeData/N=1000/533-surge_w.csv b/SurgeData/533-surge_w.csv similarity index 100% rename from SurgeData/N=1000/533-surge_w.csv rename to SurgeData/533-surge_w.csv diff --git a/SurgeData/N=1000/533-time_c.csv b/SurgeData/533-time_c.csv similarity index 100% rename from SurgeData/N=1000/533-time_c.csv rename to SurgeData/533-time_c.csv diff --git a/SurgeData/N=1000/533-time_w.csv b/SurgeData/533-time_w.csv similarity index 100% rename from SurgeData/N=1000/533-time_w.csv rename to SurgeData/533-time_w.csv diff --git a/SurgeData/N=1000/533-waterlevel_c.csv b/SurgeData/533-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/533-waterlevel_c.csv rename to SurgeData/533-waterlevel_c.csv diff --git a/SurgeData/N=1000/533-waterlevel_w.csv b/SurgeData/533-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/533-waterlevel_w.csv rename to SurgeData/533-waterlevel_w.csv diff --git a/SurgeData/534-num_storm.csv b/SurgeData/534-num_storm.csv new file mode 100644 index 00000000..ba58f1bc --- /dev/null +++ b/SurgeData/534-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,3.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,2.0,4.0 +2025,2.0,1.0 +2026,0.0,8.0 +2027,0.0,2.0 +2028,0.0,3.0 +2029,0.0,2.0 +2030,3.0,7.0 +2031,2.0,5.0 +2032,2.0,2.0 +2033,2.0,1.0 +2034,2.0,1.0 +2035,3.0,5.0 +2036,1.0,8.0 +2037,4.0,7.0 +2038,1.0,2.0 +2039,2.0,2.0 +2040,0.0,8.0 +2041,2.0,7.0 +2042,2.0,2.0 +2043,1.0,4.0 +2044,1.0,3.0 +2045,3.0,3.0 +2046,1.0,2.0 +2047,0.0,3.0 +2048,2.0,7.0 +2049,4.0,8.0 +2050,0.0,5.0 +2051,2.0,4.0 +2052,3.0,3.0 +2053,4.0,6.0 +2054,5.0,7.0 +2055,0.0,9.0 +2056,3.0,4.0 +2057,0.0,3.0 +2058,1.0,3.0 +2059,4.0,2.0 +2060,2.0,8.0 +2061,0.0,4.0 +2062,1.0,5.0 +2063,0.0,6.0 +2064,1.0,1.0 +2065,0.0,3.0 +2066,3.0,3.0 +2067,1.0,8.0 +2068,1.0,3.0 +2069,3.0,4.0 +2070,0.0,6.0 +2071,3.0,3.0 +2072,3.0,5.0 +2073,0.0,4.0 +2074,2.0,4.0 +2075,0.0,5.0 +2076,0.0,4.0 +2077,2.0,3.0 +2078,1.0,2.0 +2079,2.0,6.0 +2080,1.0,0.0 +2081,0.0,6.0 +2082,1.0,4.0 +2083,0.0,2.0 +2084,0.0,4.0 +2085,4.0,4.0 +2086,1.0,3.0 +2087,2.0,2.0 +2088,3.0,7.0 +2089,2.0,1.0 +2090,2.0,8.0 +2091,1.0,1.0 +2092,0.0,6.0 +2093,0.0,3.0 +2094,1.0,3.0 +2095,2.0,3.0 +2096,2.0,4.0 +2097,2.0,6.0 +2098,5.0,6.0 +2099,1.0,2.0 +2100,0.0,8.0 diff --git a/SurgeData/N=1000/534-peak+year_c.csv b/SurgeData/534-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/534-peak+year_c.csv rename to SurgeData/534-peak+year_c.csv diff --git a/SurgeData/N=1000/534-peak+year_w.csv b/SurgeData/534-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/534-peak+year_w.csv rename to SurgeData/534-peak+year_w.csv diff --git a/SurgeData/N=1000/534-peak_c.csv b/SurgeData/534-peak_c.csv similarity index 100% rename from SurgeData/N=1000/534-peak_c.csv rename to SurgeData/534-peak_c.csv diff --git a/SurgeData/N=1000/534-peak_w.csv b/SurgeData/534-peak_w.csv similarity index 100% rename from SurgeData/N=1000/534-peak_w.csv rename to SurgeData/534-peak_w.csv diff --git a/SurgeData/N=1000/534-surge_c.csv b/SurgeData/534-surge_c.csv similarity index 100% rename from SurgeData/N=1000/534-surge_c.csv rename to SurgeData/534-surge_c.csv diff --git a/SurgeData/N=1000/534-surge_w.csv b/SurgeData/534-surge_w.csv similarity index 100% rename from SurgeData/N=1000/534-surge_w.csv rename to SurgeData/534-surge_w.csv diff --git a/SurgeData/N=1000/534-time_c.csv b/SurgeData/534-time_c.csv similarity index 100% rename from SurgeData/N=1000/534-time_c.csv rename to SurgeData/534-time_c.csv diff --git a/SurgeData/N=1000/534-time_w.csv b/SurgeData/534-time_w.csv similarity index 100% rename from SurgeData/N=1000/534-time_w.csv rename to SurgeData/534-time_w.csv diff --git a/SurgeData/N=1000/534-waterlevel_c.csv b/SurgeData/534-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/534-waterlevel_c.csv rename to SurgeData/534-waterlevel_c.csv diff --git a/SurgeData/N=1000/534-waterlevel_w.csv b/SurgeData/534-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/534-waterlevel_w.csv rename to SurgeData/534-waterlevel_w.csv diff --git a/SurgeData/535-num_storm.csv b/SurgeData/535-num_storm.csv new file mode 100644 index 00000000..a9973dee --- /dev/null +++ b/SurgeData/535-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,4.0 +2022,1.0,3.0 +2023,2.0,4.0 +2024,2.0,5.0 +2025,2.0,5.0 +2026,3.0,6.0 +2027,0.0,3.0 +2028,1.0,2.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,1.0,4.0 +2032,1.0,6.0 +2033,2.0,5.0 +2034,2.0,5.0 +2035,2.0,4.0 +2036,1.0,6.0 +2037,1.0,6.0 +2038,1.0,6.0 +2039,2.0,11.0 +2040,1.0,3.0 +2041,0.0,2.0 +2042,1.0,3.0 +2043,1.0,6.0 +2044,1.0,1.0 +2045,4.0,2.0 +2046,3.0,1.0 +2047,5.0,4.0 +2048,2.0,6.0 +2049,1.0,2.0 +2050,0.0,12.0 +2051,1.0,4.0 +2052,0.0,4.0 +2053,2.0,1.0 +2054,0.0,5.0 +2055,2.0,3.0 +2056,1.0,6.0 +2057,0.0,5.0 +2058,0.0,5.0 +2059,2.0,7.0 +2060,0.0,4.0 +2061,0.0,9.0 +2062,2.0,6.0 +2063,2.0,3.0 +2064,0.0,6.0 +2065,3.0,5.0 +2066,2.0,2.0 +2067,0.0,4.0 +2068,1.0,4.0 +2069,2.0,5.0 +2070,2.0,7.0 +2071,2.0,3.0 +2072,2.0,4.0 +2073,1.0,5.0 +2074,2.0,3.0 +2075,3.0,3.0 +2076,3.0,4.0 +2077,4.0,5.0 +2078,0.0,9.0 +2079,1.0,5.0 +2080,1.0,5.0 +2081,2.0,2.0 +2082,3.0,4.0 +2083,2.0,6.0 +2084,0.0,3.0 +2085,0.0,1.0 +2086,3.0,3.0 +2087,2.0,2.0 +2088,0.0,6.0 +2089,2.0,8.0 +2090,2.0,3.0 +2091,2.0,2.0 +2092,2.0,5.0 +2093,2.0,3.0 +2094,0.0,4.0 +2095,1.0,6.0 +2096,3.0,2.0 +2097,1.0,4.0 +2098,2.0,5.0 +2099,1.0,8.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/535-peak+year_c.csv b/SurgeData/535-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/535-peak+year_c.csv rename to SurgeData/535-peak+year_c.csv diff --git a/SurgeData/N=1000/535-peak+year_w.csv b/SurgeData/535-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/535-peak+year_w.csv rename to SurgeData/535-peak+year_w.csv diff --git a/SurgeData/N=1000/535-peak_c.csv b/SurgeData/535-peak_c.csv similarity index 100% rename from SurgeData/N=1000/535-peak_c.csv rename to SurgeData/535-peak_c.csv diff --git a/SurgeData/N=1000/535-peak_w.csv b/SurgeData/535-peak_w.csv similarity index 100% rename from SurgeData/N=1000/535-peak_w.csv rename to SurgeData/535-peak_w.csv diff --git a/SurgeData/N=1000/535-surge_c.csv b/SurgeData/535-surge_c.csv similarity index 100% rename from SurgeData/N=1000/535-surge_c.csv rename to SurgeData/535-surge_c.csv diff --git a/SurgeData/N=1000/535-surge_w.csv b/SurgeData/535-surge_w.csv similarity index 100% rename from SurgeData/N=1000/535-surge_w.csv rename to SurgeData/535-surge_w.csv diff --git a/SurgeData/N=1000/535-time_c.csv b/SurgeData/535-time_c.csv similarity index 100% rename from SurgeData/N=1000/535-time_c.csv rename to SurgeData/535-time_c.csv diff --git a/SurgeData/N=1000/535-time_w.csv b/SurgeData/535-time_w.csv similarity index 100% rename from SurgeData/N=1000/535-time_w.csv rename to SurgeData/535-time_w.csv diff --git a/SurgeData/N=1000/535-waterlevel_c.csv b/SurgeData/535-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/535-waterlevel_c.csv rename to SurgeData/535-waterlevel_c.csv diff --git a/SurgeData/N=1000/535-waterlevel_w.csv b/SurgeData/535-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/535-waterlevel_w.csv rename to SurgeData/535-waterlevel_w.csv diff --git a/SurgeData/N=1000/536-peak+year_c.csv b/SurgeData/536-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/536-peak+year_c.csv rename to SurgeData/536-peak+year_c.csv diff --git a/SurgeData/N=1000/536-peak+year_w.csv b/SurgeData/536-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/536-peak+year_w.csv rename to SurgeData/536-peak+year_w.csv diff --git a/SurgeData/N=1000/536-peak_c.csv b/SurgeData/536-peak_c.csv similarity index 100% rename from SurgeData/N=1000/536-peak_c.csv rename to SurgeData/536-peak_c.csv diff --git a/SurgeData/N=1000/536-peak_w.csv b/SurgeData/536-peak_w.csv similarity index 100% rename from SurgeData/N=1000/536-peak_w.csv rename to SurgeData/536-peak_w.csv diff --git a/SurgeData/N=1000/536-surge_c.csv b/SurgeData/536-surge_c.csv similarity index 100% rename from SurgeData/N=1000/536-surge_c.csv rename to SurgeData/536-surge_c.csv diff --git a/SurgeData/N=1000/536-surge_w.csv b/SurgeData/536-surge_w.csv similarity index 100% rename from SurgeData/N=1000/536-surge_w.csv rename to SurgeData/536-surge_w.csv diff --git a/SurgeData/N=1000/536-time_c.csv b/SurgeData/536-time_c.csv similarity index 100% rename from SurgeData/N=1000/536-time_c.csv rename to SurgeData/536-time_c.csv diff --git a/SurgeData/N=1000/536-time_w.csv b/SurgeData/536-time_w.csv similarity index 100% rename from SurgeData/N=1000/536-time_w.csv rename to SurgeData/536-time_w.csv diff --git a/SurgeData/N=1000/536-waterlevel_c.csv b/SurgeData/536-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/536-waterlevel_c.csv rename to SurgeData/536-waterlevel_c.csv diff --git a/SurgeData/N=1000/536-waterlevel_w.csv b/SurgeData/536-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/536-waterlevel_w.csv rename to SurgeData/536-waterlevel_w.csv diff --git a/SurgeData/537-num_storm.csv b/SurgeData/537-num_storm.csv new file mode 100644 index 00000000..92c30886 --- /dev/null +++ b/SurgeData/537-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,2.0,5.0 +2022,1.0,5.0 +2023,2.0,5.0 +2024,1.0,5.0 +2025,2.0,6.0 +2026,3.0,4.0 +2027,2.0,4.0 +2028,0.0,3.0 +2029,2.0,5.0 +2030,0.0,6.0 +2031,1.0,8.0 +2032,1.0,2.0 +2033,0.0,8.0 +2034,0.0,4.0 +2035,1.0,7.0 +2036,1.0,4.0 +2037,2.0,7.0 +2038,1.0,5.0 +2039,3.0,3.0 +2040,0.0,0.0 +2041,2.0,1.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,1.0,3.0 +2045,0.0,1.0 +2046,2.0,4.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,0.0,2.0 +2050,1.0,9.0 +2051,1.0,2.0 +2052,5.0,5.0 +2053,1.0,6.0 +2054,2.0,5.0 +2055,6.0,4.0 +2056,4.0,3.0 +2057,1.0,5.0 +2058,0.0,3.0 +2059,2.0,2.0 +2060,1.0,2.0 +2061,1.0,2.0 +2062,0.0,3.0 +2063,1.0,2.0 +2064,4.0,5.0 +2065,2.0,3.0 +2066,1.0,2.0 +2067,3.0,6.0 +2068,3.0,3.0 +2069,1.0,12.0 +2070,1.0,3.0 +2071,0.0,4.0 +2072,2.0,5.0 +2073,2.0,4.0 +2074,1.0,4.0 +2075,2.0,2.0 +2076,1.0,4.0 +2077,1.0,4.0 +2078,1.0,5.0 +2079,1.0,4.0 +2080,4.0,8.0 +2081,1.0,6.0 +2082,2.0,6.0 +2083,0.0,2.0 +2084,2.0,4.0 +2085,0.0,2.0 +2086,1.0,5.0 +2087,3.0,7.0 +2088,0.0,6.0 +2089,1.0,2.0 +2090,3.0,4.0 +2091,2.0,3.0 +2092,1.0,4.0 +2093,3.0,8.0 +2094,2.0,5.0 +2095,4.0,3.0 +2096,1.0,6.0 +2097,1.0,4.0 +2098,3.0,2.0 +2099,1.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/537-peak+year_c.csv b/SurgeData/537-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/537-peak+year_c.csv rename to SurgeData/537-peak+year_c.csv diff --git a/SurgeData/N=1000/537-peak+year_w.csv b/SurgeData/537-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/537-peak+year_w.csv rename to SurgeData/537-peak+year_w.csv diff --git a/SurgeData/N=1000/537-peak_c.csv b/SurgeData/537-peak_c.csv similarity index 100% rename from SurgeData/N=1000/537-peak_c.csv rename to SurgeData/537-peak_c.csv diff --git a/SurgeData/N=1000/537-peak_w.csv b/SurgeData/537-peak_w.csv similarity index 100% rename from SurgeData/N=1000/537-peak_w.csv rename to SurgeData/537-peak_w.csv diff --git a/SurgeData/N=1000/537-surge_c.csv b/SurgeData/537-surge_c.csv similarity index 100% rename from SurgeData/N=1000/537-surge_c.csv rename to SurgeData/537-surge_c.csv diff --git a/SurgeData/N=1000/537-surge_w.csv b/SurgeData/537-surge_w.csv similarity index 100% rename from SurgeData/N=1000/537-surge_w.csv rename to SurgeData/537-surge_w.csv diff --git a/SurgeData/N=1000/537-time_c.csv b/SurgeData/537-time_c.csv similarity index 100% rename from SurgeData/N=1000/537-time_c.csv rename to SurgeData/537-time_c.csv diff --git a/SurgeData/N=1000/537-time_w.csv b/SurgeData/537-time_w.csv similarity index 100% rename from SurgeData/N=1000/537-time_w.csv rename to SurgeData/537-time_w.csv diff --git a/SurgeData/N=1000/537-waterlevel_c.csv b/SurgeData/537-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/537-waterlevel_c.csv rename to SurgeData/537-waterlevel_c.csv diff --git a/SurgeData/N=1000/537-waterlevel_w.csv b/SurgeData/537-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/537-waterlevel_w.csv rename to SurgeData/537-waterlevel_w.csv diff --git a/SurgeData/538-num_storm.csv b/SurgeData/538-num_storm.csv new file mode 100644 index 00000000..630a4385 --- /dev/null +++ b/SurgeData/538-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,7.0 +2021,3.0,3.0 +2022,0.0,2.0 +2023,0.0,2.0 +2024,2.0,9.0 +2025,2.0,0.0 +2026,1.0,5.0 +2027,2.0,6.0 +2028,2.0,0.0 +2029,2.0,3.0 +2030,0.0,1.0 +2031,1.0,5.0 +2032,2.0,4.0 +2033,1.0,3.0 +2034,3.0,4.0 +2035,4.0,3.0 +2036,1.0,1.0 +2037,2.0,2.0 +2038,1.0,5.0 +2039,0.0,2.0 +2040,1.0,2.0 +2041,2.0,6.0 +2042,1.0,2.0 +2043,0.0,4.0 +2044,1.0,2.0 +2045,2.0,6.0 +2046,2.0,5.0 +2047,3.0,6.0 +2048,1.0,3.0 +2049,0.0,6.0 +2050,2.0,2.0 +2051,1.0,2.0 +2052,2.0,2.0 +2053,0.0,4.0 +2054,3.0,4.0 +2055,2.0,2.0 +2056,0.0,2.0 +2057,1.0,4.0 +2058,2.0,3.0 +2059,1.0,2.0 +2060,1.0,5.0 +2061,3.0,4.0 +2062,4.0,7.0 +2063,5.0,6.0 +2064,4.0,8.0 +2065,1.0,2.0 +2066,1.0,7.0 +2067,2.0,6.0 +2068,2.0,2.0 +2069,1.0,2.0 +2070,2.0,2.0 +2071,2.0,8.0 +2072,4.0,5.0 +2073,3.0,3.0 +2074,1.0,3.0 +2075,2.0,1.0 +2076,1.0,7.0 +2077,1.0,5.0 +2078,1.0,5.0 +2079,1.0,4.0 +2080,1.0,3.0 +2081,0.0,5.0 +2082,1.0,5.0 +2083,2.0,2.0 +2084,1.0,2.0 +2085,1.0,4.0 +2086,0.0,3.0 +2087,4.0,4.0 +2088,0.0,3.0 +2089,2.0,4.0 +2090,1.0,1.0 +2091,0.0,3.0 +2092,1.0,4.0 +2093,0.0,2.0 +2094,0.0,3.0 +2095,2.0,4.0 +2096,2.0,3.0 +2097,1.0,2.0 +2098,2.0,2.0 +2099,0.0,4.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/538-peak+year_c.csv b/SurgeData/538-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/538-peak+year_c.csv rename to SurgeData/538-peak+year_c.csv diff --git a/SurgeData/N=1000/538-peak+year_w.csv b/SurgeData/538-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/538-peak+year_w.csv rename to SurgeData/538-peak+year_w.csv diff --git a/SurgeData/N=1000/538-peak_c.csv b/SurgeData/538-peak_c.csv similarity index 100% rename from SurgeData/N=1000/538-peak_c.csv rename to SurgeData/538-peak_c.csv diff --git a/SurgeData/N=1000/538-peak_w.csv b/SurgeData/538-peak_w.csv similarity index 100% rename from SurgeData/N=1000/538-peak_w.csv rename to SurgeData/538-peak_w.csv diff --git a/SurgeData/N=1000/538-surge_c.csv b/SurgeData/538-surge_c.csv similarity index 100% rename from SurgeData/N=1000/538-surge_c.csv rename to SurgeData/538-surge_c.csv diff --git a/SurgeData/N=1000/538-surge_w.csv b/SurgeData/538-surge_w.csv similarity index 100% rename from SurgeData/N=1000/538-surge_w.csv rename to SurgeData/538-surge_w.csv diff --git a/SurgeData/N=1000/538-time_c.csv b/SurgeData/538-time_c.csv similarity index 100% rename from SurgeData/N=1000/538-time_c.csv rename to SurgeData/538-time_c.csv diff --git a/SurgeData/N=1000/538-time_w.csv b/SurgeData/538-time_w.csv similarity index 100% rename from SurgeData/N=1000/538-time_w.csv rename to SurgeData/538-time_w.csv diff --git a/SurgeData/N=1000/538-waterlevel_c.csv b/SurgeData/538-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/538-waterlevel_c.csv rename to SurgeData/538-waterlevel_c.csv diff --git a/SurgeData/N=1000/538-waterlevel_w.csv b/SurgeData/538-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/538-waterlevel_w.csv rename to SurgeData/538-waterlevel_w.csv diff --git a/SurgeData/539-num_storm.csv b/SurgeData/539-num_storm.csv new file mode 100644 index 00000000..d037e339 --- /dev/null +++ b/SurgeData/539-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,3.0 +2022,0.0,4.0 +2023,2.0,3.0 +2024,1.0,11.0 +2025,2.0,5.0 +2026,0.0,7.0 +2027,0.0,2.0 +2028,4.0,3.0 +2029,1.0,6.0 +2030,2.0,1.0 +2031,3.0,3.0 +2032,2.0,5.0 +2033,3.0,7.0 +2034,1.0,0.0 +2035,3.0,3.0 +2036,0.0,10.0 +2037,1.0,6.0 +2038,0.0,4.0 +2039,2.0,8.0 +2040,2.0,2.0 +2041,0.0,4.0 +2042,0.0,9.0 +2043,4.0,6.0 +2044,2.0,2.0 +2045,1.0,5.0 +2046,0.0,5.0 +2047,1.0,4.0 +2048,2.0,3.0 +2049,3.0,1.0 +2050,0.0,2.0 +2051,1.0,7.0 +2052,0.0,6.0 +2053,2.0,2.0 +2054,2.0,5.0 +2055,2.0,8.0 +2056,3.0,0.0 +2057,3.0,6.0 +2058,0.0,4.0 +2059,2.0,3.0 +2060,3.0,4.0 +2061,1.0,5.0 +2062,2.0,0.0 +2063,1.0,8.0 +2064,2.0,5.0 +2065,2.0,5.0 +2066,2.0,3.0 +2067,3.0,1.0 +2068,1.0,4.0 +2069,0.0,7.0 +2070,2.0,3.0 +2071,1.0,4.0 +2072,3.0,7.0 +2073,3.0,4.0 +2074,2.0,3.0 +2075,0.0,4.0 +2076,1.0,6.0 +2077,1.0,4.0 +2078,4.0,4.0 +2079,0.0,3.0 +2080,4.0,4.0 +2081,1.0,4.0 +2082,3.0,2.0 +2083,0.0,4.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,0.0,4.0 +2087,1.0,4.0 +2088,0.0,5.0 +2089,3.0,3.0 +2090,1.0,2.0 +2091,1.0,4.0 +2092,1.0,9.0 +2093,4.0,4.0 +2094,0.0,4.0 +2095,1.0,10.0 +2096,1.0,3.0 +2097,0.0,4.0 +2098,2.0,6.0 +2099,3.0,7.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/539-peak+year_c.csv b/SurgeData/539-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/539-peak+year_c.csv rename to SurgeData/539-peak+year_c.csv diff --git a/SurgeData/N=1000/539-peak+year_w.csv b/SurgeData/539-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/539-peak+year_w.csv rename to SurgeData/539-peak+year_w.csv diff --git a/SurgeData/N=1000/539-peak_c.csv b/SurgeData/539-peak_c.csv similarity index 100% rename from SurgeData/N=1000/539-peak_c.csv rename to SurgeData/539-peak_c.csv diff --git a/SurgeData/N=1000/539-peak_w.csv b/SurgeData/539-peak_w.csv similarity index 100% rename from SurgeData/N=1000/539-peak_w.csv rename to SurgeData/539-peak_w.csv diff --git a/SurgeData/N=1000/539-surge_c.csv b/SurgeData/539-surge_c.csv similarity index 100% rename from SurgeData/N=1000/539-surge_c.csv rename to SurgeData/539-surge_c.csv diff --git a/SurgeData/N=1000/539-surge_w.csv b/SurgeData/539-surge_w.csv similarity index 100% rename from SurgeData/N=1000/539-surge_w.csv rename to SurgeData/539-surge_w.csv diff --git a/SurgeData/N=1000/539-time_c.csv b/SurgeData/539-time_c.csv similarity index 100% rename from SurgeData/N=1000/539-time_c.csv rename to SurgeData/539-time_c.csv diff --git a/SurgeData/N=1000/539-time_w.csv b/SurgeData/539-time_w.csv similarity index 100% rename from SurgeData/N=1000/539-time_w.csv rename to SurgeData/539-time_w.csv diff --git a/SurgeData/N=1000/539-waterlevel_c.csv b/SurgeData/539-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/539-waterlevel_c.csv rename to SurgeData/539-waterlevel_c.csv diff --git a/SurgeData/N=1000/539-waterlevel_w.csv b/SurgeData/539-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/539-waterlevel_w.csv rename to SurgeData/539-waterlevel_w.csv diff --git a/SurgeData/54-num_storm.csv b/SurgeData/54-num_storm.csv new file mode 100644 index 00000000..c8bdc4ac --- /dev/null +++ b/SurgeData/54-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,3.0,7.0 +2022,2.0,4.0 +2023,1.0,7.0 +2024,2.0,10.0 +2025,3.0,4.0 +2026,2.0,8.0 +2027,0.0,9.0 +2028,0.0,4.0 +2029,1.0,2.0 +2030,0.0,6.0 +2031,1.0,5.0 +2032,4.0,6.0 +2033,5.0,4.0 +2034,1.0,5.0 +2035,3.0,1.0 +2036,1.0,3.0 +2037,0.0,9.0 +2038,2.0,6.0 +2039,1.0,3.0 +2040,0.0,8.0 +2041,0.0,8.0 +2042,3.0,7.0 +2043,2.0,4.0 +2044,0.0,4.0 +2045,2.0,1.0 +2046,1.0,7.0 +2047,3.0,4.0 +2048,1.0,2.0 +2049,0.0,8.0 +2050,0.0,4.0 +2051,1.0,6.0 +2052,1.0,3.0 +2053,3.0,7.0 +2054,2.0,2.0 +2055,1.0,4.0 +2056,2.0,4.0 +2057,0.0,4.0 +2058,2.0,2.0 +2059,3.0,2.0 +2060,1.0,4.0 +2061,0.0,5.0 +2062,2.0,4.0 +2063,0.0,7.0 +2064,2.0,3.0 +2065,1.0,4.0 +2066,0.0,2.0 +2067,1.0,4.0 +2068,5.0,5.0 +2069,1.0,7.0 +2070,3.0,2.0 +2071,3.0,6.0 +2072,2.0,2.0 +2073,2.0,2.0 +2074,0.0,4.0 +2075,4.0,4.0 +2076,2.0,4.0 +2077,1.0,4.0 +2078,1.0,1.0 +2079,2.0,1.0 +2080,0.0,3.0 +2081,2.0,2.0 +2082,3.0,4.0 +2083,2.0,6.0 +2084,5.0,0.0 +2085,2.0,3.0 +2086,4.0,3.0 +2087,2.0,3.0 +2088,4.0,1.0 +2089,0.0,4.0 +2090,0.0,3.0 +2091,0.0,3.0 +2092,2.0,5.0 +2093,2.0,4.0 +2094,0.0,8.0 +2095,2.0,2.0 +2096,0.0,6.0 +2097,0.0,2.0 +2098,2.0,0.0 +2099,1.0,0.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/54-peak+year_c.csv b/SurgeData/54-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/54-peak+year_c.csv rename to SurgeData/54-peak+year_c.csv diff --git a/SurgeData/N=1000/54-peak+year_w.csv b/SurgeData/54-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/54-peak+year_w.csv rename to SurgeData/54-peak+year_w.csv diff --git a/SurgeData/N=1000/54-peak_c.csv b/SurgeData/54-peak_c.csv similarity index 100% rename from SurgeData/N=1000/54-peak_c.csv rename to SurgeData/54-peak_c.csv diff --git a/SurgeData/N=1000/54-peak_w.csv b/SurgeData/54-peak_w.csv similarity index 100% rename from SurgeData/N=1000/54-peak_w.csv rename to SurgeData/54-peak_w.csv diff --git a/SurgeData/N=1000/54-surge_c.csv b/SurgeData/54-surge_c.csv similarity index 100% rename from SurgeData/N=1000/54-surge_c.csv rename to SurgeData/54-surge_c.csv diff --git a/SurgeData/N=1000/54-surge_w.csv b/SurgeData/54-surge_w.csv similarity index 100% rename from SurgeData/N=1000/54-surge_w.csv rename to SurgeData/54-surge_w.csv diff --git a/SurgeData/N=1000/54-time_c.csv b/SurgeData/54-time_c.csv similarity index 100% rename from SurgeData/N=1000/54-time_c.csv rename to SurgeData/54-time_c.csv diff --git a/SurgeData/N=1000/54-time_w.csv b/SurgeData/54-time_w.csv similarity index 100% rename from SurgeData/N=1000/54-time_w.csv rename to SurgeData/54-time_w.csv diff --git a/SurgeData/N=1000/54-waterlevel_c.csv b/SurgeData/54-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/54-waterlevel_c.csv rename to SurgeData/54-waterlevel_c.csv diff --git a/SurgeData/N=1000/54-waterlevel_w.csv b/SurgeData/54-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/54-waterlevel_w.csv rename to SurgeData/54-waterlevel_w.csv diff --git a/SurgeData/540-num_storm.csv b/SurgeData/540-num_storm.csv new file mode 100644 index 00000000..2430e62b --- /dev/null +++ b/SurgeData/540-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,3.0 +2022,2.0,3.0 +2023,1.0,3.0 +2024,3.0,2.0 +2025,0.0,6.0 +2026,3.0,5.0 +2027,3.0,2.0 +2028,1.0,2.0 +2029,1.0,11.0 +2030,3.0,7.0 +2031,3.0,4.0 +2032,1.0,6.0 +2033,0.0,6.0 +2034,0.0,3.0 +2035,1.0,6.0 +2036,5.0,1.0 +2037,1.0,4.0 +2038,1.0,4.0 +2039,0.0,3.0 +2040,2.0,5.0 +2041,2.0,3.0 +2042,1.0,2.0 +2043,2.0,0.0 +2044,2.0,1.0 +2045,0.0,5.0 +2046,2.0,7.0 +2047,3.0,2.0 +2048,2.0,2.0 +2049,2.0,4.0 +2050,2.0,4.0 +2051,3.0,4.0 +2052,3.0,7.0 +2053,4.0,6.0 +2054,3.0,2.0 +2055,0.0,3.0 +2056,4.0,5.0 +2057,3.0,5.0 +2058,1.0,3.0 +2059,0.0,4.0 +2060,1.0,4.0 +2061,1.0,8.0 +2062,1.0,5.0 +2063,3.0,5.0 +2064,4.0,4.0 +2065,1.0,2.0 +2066,1.0,2.0 +2067,3.0,7.0 +2068,0.0,1.0 +2069,3.0,7.0 +2070,0.0,1.0 +2071,1.0,2.0 +2072,2.0,4.0 +2073,3.0,4.0 +2074,3.0,6.0 +2075,3.0,5.0 +2076,1.0,5.0 +2077,0.0,6.0 +2078,1.0,3.0 +2079,2.0,5.0 +2080,2.0,7.0 +2081,1.0,4.0 +2082,0.0,2.0 +2083,0.0,6.0 +2084,0.0,4.0 +2085,3.0,6.0 +2086,3.0,5.0 +2087,4.0,4.0 +2088,0.0,1.0 +2089,1.0,4.0 +2090,1.0,3.0 +2091,0.0,6.0 +2092,1.0,6.0 +2093,0.0,4.0 +2094,0.0,3.0 +2095,1.0,4.0 +2096,0.0,5.0 +2097,1.0,4.0 +2098,1.0,0.0 +2099,0.0,2.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/540-peak+year_c.csv b/SurgeData/540-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/540-peak+year_c.csv rename to SurgeData/540-peak+year_c.csv diff --git a/SurgeData/N=1000/540-peak+year_w.csv b/SurgeData/540-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/540-peak+year_w.csv rename to SurgeData/540-peak+year_w.csv diff --git a/SurgeData/N=1000/540-peak_c.csv b/SurgeData/540-peak_c.csv similarity index 100% rename from SurgeData/N=1000/540-peak_c.csv rename to SurgeData/540-peak_c.csv diff --git a/SurgeData/N=1000/540-peak_w.csv b/SurgeData/540-peak_w.csv similarity index 100% rename from SurgeData/N=1000/540-peak_w.csv rename to SurgeData/540-peak_w.csv diff --git a/SurgeData/N=1000/540-surge_c.csv b/SurgeData/540-surge_c.csv similarity index 100% rename from SurgeData/N=1000/540-surge_c.csv rename to SurgeData/540-surge_c.csv diff --git a/SurgeData/N=1000/540-surge_w.csv b/SurgeData/540-surge_w.csv similarity index 100% rename from SurgeData/N=1000/540-surge_w.csv rename to SurgeData/540-surge_w.csv diff --git a/SurgeData/N=1000/540-time_c.csv b/SurgeData/540-time_c.csv similarity index 100% rename from SurgeData/N=1000/540-time_c.csv rename to SurgeData/540-time_c.csv diff --git a/SurgeData/N=1000/540-time_w.csv b/SurgeData/540-time_w.csv similarity index 100% rename from SurgeData/N=1000/540-time_w.csv rename to SurgeData/540-time_w.csv diff --git a/SurgeData/N=1000/540-waterlevel_c.csv b/SurgeData/540-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/540-waterlevel_c.csv rename to SurgeData/540-waterlevel_c.csv diff --git a/SurgeData/N=1000/540-waterlevel_w.csv b/SurgeData/540-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/540-waterlevel_w.csv rename to SurgeData/540-waterlevel_w.csv diff --git a/SurgeData/N=1000/541-peak+year_c.csv b/SurgeData/541-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/541-peak+year_c.csv rename to SurgeData/541-peak+year_c.csv diff --git a/SurgeData/N=1000/541-peak+year_w.csv b/SurgeData/541-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/541-peak+year_w.csv rename to SurgeData/541-peak+year_w.csv diff --git a/SurgeData/N=1000/541-peak_c.csv b/SurgeData/541-peak_c.csv similarity index 100% rename from SurgeData/N=1000/541-peak_c.csv rename to SurgeData/541-peak_c.csv diff --git a/SurgeData/N=1000/541-peak_w.csv b/SurgeData/541-peak_w.csv similarity index 100% rename from SurgeData/N=1000/541-peak_w.csv rename to SurgeData/541-peak_w.csv diff --git a/SurgeData/N=1000/541-surge_c.csv b/SurgeData/541-surge_c.csv similarity index 100% rename from SurgeData/N=1000/541-surge_c.csv rename to SurgeData/541-surge_c.csv diff --git a/SurgeData/N=1000/541-surge_w.csv b/SurgeData/541-surge_w.csv similarity index 100% rename from SurgeData/N=1000/541-surge_w.csv rename to SurgeData/541-surge_w.csv diff --git a/SurgeData/N=1000/541-time_c.csv b/SurgeData/541-time_c.csv similarity index 100% rename from SurgeData/N=1000/541-time_c.csv rename to SurgeData/541-time_c.csv diff --git a/SurgeData/N=1000/541-time_w.csv b/SurgeData/541-time_w.csv similarity index 100% rename from SurgeData/N=1000/541-time_w.csv rename to SurgeData/541-time_w.csv diff --git a/SurgeData/N=1000/541-waterlevel_c.csv b/SurgeData/541-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/541-waterlevel_c.csv rename to SurgeData/541-waterlevel_c.csv diff --git a/SurgeData/N=1000/541-waterlevel_w.csv b/SurgeData/541-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/541-waterlevel_w.csv rename to SurgeData/541-waterlevel_w.csv diff --git a/SurgeData/N=1000/542-peak+year_c.csv b/SurgeData/542-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/542-peak+year_c.csv rename to SurgeData/542-peak+year_c.csv diff --git a/SurgeData/N=1000/542-peak+year_w.csv b/SurgeData/542-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/542-peak+year_w.csv rename to SurgeData/542-peak+year_w.csv diff --git a/SurgeData/N=1000/542-peak_c.csv b/SurgeData/542-peak_c.csv similarity index 100% rename from SurgeData/N=1000/542-peak_c.csv rename to SurgeData/542-peak_c.csv diff --git a/SurgeData/N=1000/542-peak_w.csv b/SurgeData/542-peak_w.csv similarity index 100% rename from SurgeData/N=1000/542-peak_w.csv rename to SurgeData/542-peak_w.csv diff --git a/SurgeData/N=1000/542-surge_c.csv b/SurgeData/542-surge_c.csv similarity index 100% rename from SurgeData/N=1000/542-surge_c.csv rename to SurgeData/542-surge_c.csv diff --git a/SurgeData/N=1000/542-surge_w.csv b/SurgeData/542-surge_w.csv similarity index 100% rename from SurgeData/N=1000/542-surge_w.csv rename to SurgeData/542-surge_w.csv diff --git a/SurgeData/N=1000/542-time_c.csv b/SurgeData/542-time_c.csv similarity index 100% rename from SurgeData/N=1000/542-time_c.csv rename to SurgeData/542-time_c.csv diff --git a/SurgeData/N=1000/542-time_w.csv b/SurgeData/542-time_w.csv similarity index 100% rename from SurgeData/N=1000/542-time_w.csv rename to SurgeData/542-time_w.csv diff --git a/SurgeData/N=1000/542-waterlevel_c.csv b/SurgeData/542-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/542-waterlevel_c.csv rename to SurgeData/542-waterlevel_c.csv diff --git a/SurgeData/N=1000/542-waterlevel_w.csv b/SurgeData/542-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/542-waterlevel_w.csv rename to SurgeData/542-waterlevel_w.csv diff --git a/SurgeData/543-num_storm.csv b/SurgeData/543-num_storm.csv new file mode 100644 index 00000000..bc9e0b47 --- /dev/null +++ b/SurgeData/543-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,1.0,3.0 +2022,1.0,4.0 +2023,1.0,6.0 +2024,1.0,5.0 +2025,1.0,5.0 +2026,4.0,8.0 +2027,2.0,5.0 +2028,1.0,4.0 +2029,4.0,4.0 +2030,1.0,3.0 +2031,1.0,6.0 +2032,1.0,3.0 +2033,3.0,8.0 +2034,2.0,3.0 +2035,2.0,6.0 +2036,2.0,4.0 +2037,2.0,3.0 +2038,2.0,5.0 +2039,0.0,3.0 +2040,0.0,7.0 +2041,1.0,4.0 +2042,0.0,4.0 +2043,4.0,6.0 +2044,0.0,6.0 +2045,1.0,4.0 +2046,0.0,4.0 +2047,1.0,3.0 +2048,1.0,6.0 +2049,1.0,5.0 +2050,2.0,4.0 +2051,1.0,3.0 +2052,1.0,3.0 +2053,1.0,6.0 +2054,3.0,6.0 +2055,0.0,3.0 +2056,0.0,4.0 +2057,1.0,6.0 +2058,1.0,5.0 +2059,1.0,2.0 +2060,2.0,1.0 +2061,0.0,5.0 +2062,0.0,1.0 +2063,2.0,3.0 +2064,0.0,6.0 +2065,0.0,5.0 +2066,2.0,1.0 +2067,1.0,3.0 +2068,2.0,4.0 +2069,1.0,5.0 +2070,2.0,9.0 +2071,1.0,4.0 +2072,0.0,2.0 +2073,1.0,9.0 +2074,0.0,0.0 +2075,1.0,1.0 +2076,2.0,2.0 +2077,0.0,7.0 +2078,5.0,9.0 +2079,2.0,1.0 +2080,1.0,2.0 +2081,1.0,6.0 +2082,1.0,6.0 +2083,3.0,4.0 +2084,2.0,7.0 +2085,4.0,4.0 +2086,3.0,3.0 +2087,1.0,5.0 +2088,7.0,2.0 +2089,3.0,3.0 +2090,0.0,7.0 +2091,2.0,7.0 +2092,2.0,5.0 +2093,3.0,3.0 +2094,1.0,9.0 +2095,2.0,7.0 +2096,1.0,4.0 +2097,1.0,8.0 +2098,3.0,4.0 +2099,1.0,4.0 +2100,2.0,10.0 diff --git a/SurgeData/N=1000/543-peak+year_c.csv b/SurgeData/543-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/543-peak+year_c.csv rename to SurgeData/543-peak+year_c.csv diff --git a/SurgeData/N=1000/543-peak+year_w.csv b/SurgeData/543-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/543-peak+year_w.csv rename to SurgeData/543-peak+year_w.csv diff --git a/SurgeData/N=1000/543-peak_c.csv b/SurgeData/543-peak_c.csv similarity index 100% rename from SurgeData/N=1000/543-peak_c.csv rename to SurgeData/543-peak_c.csv diff --git a/SurgeData/N=1000/543-peak_w.csv b/SurgeData/543-peak_w.csv similarity index 100% rename from SurgeData/N=1000/543-peak_w.csv rename to SurgeData/543-peak_w.csv diff --git a/SurgeData/N=1000/543-surge_c.csv b/SurgeData/543-surge_c.csv similarity index 100% rename from SurgeData/N=1000/543-surge_c.csv rename to SurgeData/543-surge_c.csv diff --git a/SurgeData/N=1000/543-surge_w.csv b/SurgeData/543-surge_w.csv similarity index 100% rename from SurgeData/N=1000/543-surge_w.csv rename to SurgeData/543-surge_w.csv diff --git a/SurgeData/N=1000/543-time_c.csv b/SurgeData/543-time_c.csv similarity index 100% rename from SurgeData/N=1000/543-time_c.csv rename to SurgeData/543-time_c.csv diff --git a/SurgeData/N=1000/543-time_w.csv b/SurgeData/543-time_w.csv similarity index 100% rename from SurgeData/N=1000/543-time_w.csv rename to SurgeData/543-time_w.csv diff --git a/SurgeData/N=1000/543-waterlevel_c.csv b/SurgeData/543-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/543-waterlevel_c.csv rename to SurgeData/543-waterlevel_c.csv diff --git a/SurgeData/N=1000/543-waterlevel_w.csv b/SurgeData/543-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/543-waterlevel_w.csv rename to SurgeData/543-waterlevel_w.csv diff --git a/SurgeData/544-num_storm.csv b/SurgeData/544-num_storm.csv new file mode 100644 index 00000000..c31b3425 --- /dev/null +++ b/SurgeData/544-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,11.0 +2022,2.0,4.0 +2023,2.0,4.0 +2024,0.0,3.0 +2025,0.0,6.0 +2026,3.0,3.0 +2027,4.0,4.0 +2028,1.0,5.0 +2029,2.0,3.0 +2030,0.0,3.0 +2031,1.0,5.0 +2032,1.0,4.0 +2033,2.0,5.0 +2034,3.0,7.0 +2035,3.0,3.0 +2036,2.0,2.0 +2037,0.0,7.0 +2038,1.0,7.0 +2039,2.0,3.0 +2040,1.0,8.0 +2041,0.0,4.0 +2042,3.0,4.0 +2043,2.0,7.0 +2044,1.0,7.0 +2045,1.0,5.0 +2046,4.0,0.0 +2047,4.0,7.0 +2048,3.0,7.0 +2049,2.0,2.0 +2050,3.0,6.0 +2051,3.0,2.0 +2052,2.0,1.0 +2053,2.0,3.0 +2054,3.0,6.0 +2055,3.0,3.0 +2056,3.0,6.0 +2057,2.0,7.0 +2058,0.0,5.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,0.0,5.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,0.0,2.0 +2065,2.0,6.0 +2066,1.0,4.0 +2067,1.0,7.0 +2068,1.0,4.0 +2069,0.0,0.0 +2070,2.0,9.0 +2071,1.0,5.0 +2072,1.0,2.0 +2073,0.0,6.0 +2074,2.0,3.0 +2075,3.0,6.0 +2076,1.0,7.0 +2077,4.0,5.0 +2078,1.0,5.0 +2079,1.0,1.0 +2080,1.0,4.0 +2081,1.0,1.0 +2082,3.0,2.0 +2083,0.0,1.0 +2084,0.0,5.0 +2085,0.0,3.0 +2086,3.0,1.0 +2087,3.0,2.0 +2088,1.0,5.0 +2089,3.0,2.0 +2090,2.0,2.0 +2091,2.0,4.0 +2092,1.0,4.0 +2093,0.0,3.0 +2094,2.0,4.0 +2095,1.0,5.0 +2096,2.0,1.0 +2097,4.0,5.0 +2098,1.0,2.0 +2099,3.0,6.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/544-peak+year_c.csv b/SurgeData/544-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/544-peak+year_c.csv rename to SurgeData/544-peak+year_c.csv diff --git a/SurgeData/N=1000/544-peak+year_w.csv b/SurgeData/544-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/544-peak+year_w.csv rename to SurgeData/544-peak+year_w.csv diff --git a/SurgeData/N=1000/544-peak_c.csv b/SurgeData/544-peak_c.csv similarity index 100% rename from SurgeData/N=1000/544-peak_c.csv rename to SurgeData/544-peak_c.csv diff --git a/SurgeData/N=1000/544-peak_w.csv b/SurgeData/544-peak_w.csv similarity index 100% rename from SurgeData/N=1000/544-peak_w.csv rename to SurgeData/544-peak_w.csv diff --git a/SurgeData/N=1000/544-surge_c.csv b/SurgeData/544-surge_c.csv similarity index 100% rename from SurgeData/N=1000/544-surge_c.csv rename to SurgeData/544-surge_c.csv diff --git a/SurgeData/N=1000/544-surge_w.csv b/SurgeData/544-surge_w.csv similarity index 100% rename from SurgeData/N=1000/544-surge_w.csv rename to SurgeData/544-surge_w.csv diff --git a/SurgeData/N=1000/544-time_c.csv b/SurgeData/544-time_c.csv similarity index 100% rename from SurgeData/N=1000/544-time_c.csv rename to SurgeData/544-time_c.csv diff --git a/SurgeData/N=1000/544-time_w.csv b/SurgeData/544-time_w.csv similarity index 100% rename from SurgeData/N=1000/544-time_w.csv rename to SurgeData/544-time_w.csv diff --git a/SurgeData/N=1000/544-waterlevel_c.csv b/SurgeData/544-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/544-waterlevel_c.csv rename to SurgeData/544-waterlevel_c.csv diff --git a/SurgeData/N=1000/544-waterlevel_w.csv b/SurgeData/544-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/544-waterlevel_w.csv rename to SurgeData/544-waterlevel_w.csv diff --git a/SurgeData/545-num_storm.csv b/SurgeData/545-num_storm.csv new file mode 100644 index 00000000..7865eeaa --- /dev/null +++ b/SurgeData/545-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,3.0 +2022,4.0,2.0 +2023,3.0,3.0 +2024,3.0,3.0 +2025,3.0,4.0 +2026,0.0,7.0 +2027,1.0,3.0 +2028,1.0,1.0 +2029,4.0,6.0 +2030,3.0,3.0 +2031,0.0,4.0 +2032,2.0,3.0 +2033,1.0,2.0 +2034,2.0,4.0 +2035,3.0,10.0 +2036,2.0,2.0 +2037,3.0,5.0 +2038,2.0,7.0 +2039,3.0,6.0 +2040,0.0,5.0 +2041,0.0,2.0 +2042,0.0,2.0 +2043,2.0,5.0 +2044,0.0,3.0 +2045,0.0,5.0 +2046,1.0,3.0 +2047,0.0,7.0 +2048,0.0,6.0 +2049,2.0,4.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,3.0,4.0 +2053,1.0,2.0 +2054,2.0,4.0 +2055,1.0,2.0 +2056,0.0,3.0 +2057,2.0,4.0 +2058,1.0,3.0 +2059,1.0,3.0 +2060,3.0,4.0 +2061,0.0,3.0 +2062,0.0,7.0 +2063,4.0,8.0 +2064,3.0,6.0 +2065,2.0,6.0 +2066,1.0,2.0 +2067,2.0,5.0 +2068,0.0,1.0 +2069,1.0,4.0 +2070,1.0,2.0 +2071,1.0,4.0 +2072,2.0,1.0 +2073,0.0,4.0 +2074,1.0,2.0 +2075,3.0,3.0 +2076,3.0,3.0 +2077,0.0,7.0 +2078,2.0,1.0 +2079,1.0,3.0 +2080,1.0,7.0 +2081,4.0,4.0 +2082,0.0,2.0 +2083,0.0,3.0 +2084,0.0,1.0 +2085,4.0,5.0 +2086,1.0,6.0 +2087,2.0,4.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,0.0,2.0 +2091,2.0,2.0 +2092,3.0,5.0 +2093,1.0,5.0 +2094,1.0,4.0 +2095,1.0,6.0 +2096,0.0,2.0 +2097,3.0,5.0 +2098,3.0,6.0 +2099,3.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/545-peak+year_c.csv b/SurgeData/545-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/545-peak+year_c.csv rename to SurgeData/545-peak+year_c.csv diff --git a/SurgeData/N=1000/545-peak+year_w.csv b/SurgeData/545-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/545-peak+year_w.csv rename to SurgeData/545-peak+year_w.csv diff --git a/SurgeData/N=1000/545-peak_c.csv b/SurgeData/545-peak_c.csv similarity index 100% rename from SurgeData/N=1000/545-peak_c.csv rename to SurgeData/545-peak_c.csv diff --git a/SurgeData/N=1000/545-peak_w.csv b/SurgeData/545-peak_w.csv similarity index 100% rename from SurgeData/N=1000/545-peak_w.csv rename to SurgeData/545-peak_w.csv diff --git a/SurgeData/N=1000/545-surge_c.csv b/SurgeData/545-surge_c.csv similarity index 100% rename from SurgeData/N=1000/545-surge_c.csv rename to SurgeData/545-surge_c.csv diff --git a/SurgeData/N=1000/545-surge_w.csv b/SurgeData/545-surge_w.csv similarity index 100% rename from SurgeData/N=1000/545-surge_w.csv rename to SurgeData/545-surge_w.csv diff --git a/SurgeData/N=1000/545-time_c.csv b/SurgeData/545-time_c.csv similarity index 100% rename from SurgeData/N=1000/545-time_c.csv rename to SurgeData/545-time_c.csv diff --git a/SurgeData/N=1000/545-time_w.csv b/SurgeData/545-time_w.csv similarity index 100% rename from SurgeData/N=1000/545-time_w.csv rename to SurgeData/545-time_w.csv diff --git a/SurgeData/N=1000/545-waterlevel_c.csv b/SurgeData/545-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/545-waterlevel_c.csv rename to SurgeData/545-waterlevel_c.csv diff --git a/SurgeData/N=1000/545-waterlevel_w.csv b/SurgeData/545-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/545-waterlevel_w.csv rename to SurgeData/545-waterlevel_w.csv diff --git a/SurgeData/546-num_storm.csv b/SurgeData/546-num_storm.csv new file mode 100644 index 00000000..850c9ac3 --- /dev/null +++ b/SurgeData/546-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,3.0,3.0 +2022,1.0,9.0 +2023,1.0,7.0 +2024,2.0,3.0 +2025,2.0,3.0 +2026,5.0,2.0 +2027,0.0,5.0 +2028,0.0,3.0 +2029,5.0,6.0 +2030,2.0,5.0 +2031,0.0,2.0 +2032,1.0,3.0 +2033,5.0,4.0 +2034,2.0,3.0 +2035,3.0,1.0 +2036,2.0,4.0 +2037,3.0,4.0 +2038,0.0,2.0 +2039,3.0,3.0 +2040,2.0,5.0 +2041,2.0,2.0 +2042,2.0,2.0 +2043,0.0,2.0 +2044,1.0,2.0 +2045,1.0,3.0 +2046,1.0,5.0 +2047,2.0,2.0 +2048,5.0,9.0 +2049,1.0,5.0 +2050,2.0,4.0 +2051,0.0,3.0 +2052,3.0,2.0 +2053,1.0,4.0 +2054,1.0,4.0 +2055,4.0,2.0 +2056,3.0,3.0 +2057,1.0,4.0 +2058,0.0,2.0 +2059,5.0,3.0 +2060,2.0,5.0 +2061,3.0,3.0 +2062,1.0,3.0 +2063,2.0,5.0 +2064,0.0,0.0 +2065,0.0,3.0 +2066,1.0,3.0 +2067,3.0,5.0 +2068,0.0,2.0 +2069,1.0,6.0 +2070,3.0,5.0 +2071,0.0,8.0 +2072,0.0,2.0 +2073,1.0,2.0 +2074,4.0,2.0 +2075,2.0,5.0 +2076,2.0,6.0 +2077,3.0,3.0 +2078,1.0,0.0 +2079,2.0,6.0 +2080,1.0,3.0 +2081,1.0,2.0 +2082,1.0,5.0 +2083,2.0,3.0 +2084,1.0,3.0 +2085,2.0,2.0 +2086,2.0,3.0 +2087,2.0,1.0 +2088,2.0,1.0 +2089,1.0,4.0 +2090,5.0,6.0 +2091,1.0,2.0 +2092,2.0,6.0 +2093,0.0,4.0 +2094,1.0,2.0 +2095,2.0,6.0 +2096,2.0,5.0 +2097,2.0,4.0 +2098,1.0,5.0 +2099,1.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/546-peak+year_c.csv b/SurgeData/546-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/546-peak+year_c.csv rename to SurgeData/546-peak+year_c.csv diff --git a/SurgeData/N=1000/546-peak+year_w.csv b/SurgeData/546-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/546-peak+year_w.csv rename to SurgeData/546-peak+year_w.csv diff --git a/SurgeData/N=1000/546-peak_c.csv b/SurgeData/546-peak_c.csv similarity index 100% rename from SurgeData/N=1000/546-peak_c.csv rename to SurgeData/546-peak_c.csv diff --git a/SurgeData/N=1000/546-peak_w.csv b/SurgeData/546-peak_w.csv similarity index 100% rename from SurgeData/N=1000/546-peak_w.csv rename to SurgeData/546-peak_w.csv diff --git a/SurgeData/N=1000/546-surge_c.csv b/SurgeData/546-surge_c.csv similarity index 100% rename from SurgeData/N=1000/546-surge_c.csv rename to SurgeData/546-surge_c.csv diff --git a/SurgeData/N=1000/546-surge_w.csv b/SurgeData/546-surge_w.csv similarity index 100% rename from SurgeData/N=1000/546-surge_w.csv rename to SurgeData/546-surge_w.csv diff --git a/SurgeData/N=1000/546-time_c.csv b/SurgeData/546-time_c.csv similarity index 100% rename from SurgeData/N=1000/546-time_c.csv rename to SurgeData/546-time_c.csv diff --git a/SurgeData/N=1000/546-time_w.csv b/SurgeData/546-time_w.csv similarity index 100% rename from SurgeData/N=1000/546-time_w.csv rename to SurgeData/546-time_w.csv diff --git a/SurgeData/N=1000/546-waterlevel_c.csv b/SurgeData/546-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/546-waterlevel_c.csv rename to SurgeData/546-waterlevel_c.csv diff --git a/SurgeData/N=1000/546-waterlevel_w.csv b/SurgeData/546-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/546-waterlevel_w.csv rename to SurgeData/546-waterlevel_w.csv diff --git a/SurgeData/N=1000/547-peak+year_c.csv b/SurgeData/547-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/547-peak+year_c.csv rename to SurgeData/547-peak+year_c.csv diff --git a/SurgeData/N=1000/547-peak+year_w.csv b/SurgeData/547-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/547-peak+year_w.csv rename to SurgeData/547-peak+year_w.csv diff --git a/SurgeData/N=1000/547-peak_c.csv b/SurgeData/547-peak_c.csv similarity index 100% rename from SurgeData/N=1000/547-peak_c.csv rename to SurgeData/547-peak_c.csv diff --git a/SurgeData/N=1000/547-peak_w.csv b/SurgeData/547-peak_w.csv similarity index 100% rename from SurgeData/N=1000/547-peak_w.csv rename to SurgeData/547-peak_w.csv diff --git a/SurgeData/N=1000/547-surge_c.csv b/SurgeData/547-surge_c.csv similarity index 100% rename from SurgeData/N=1000/547-surge_c.csv rename to SurgeData/547-surge_c.csv diff --git a/SurgeData/N=1000/547-surge_w.csv b/SurgeData/547-surge_w.csv similarity index 100% rename from SurgeData/N=1000/547-surge_w.csv rename to SurgeData/547-surge_w.csv diff --git a/SurgeData/N=1000/547-time_c.csv b/SurgeData/547-time_c.csv similarity index 100% rename from SurgeData/N=1000/547-time_c.csv rename to SurgeData/547-time_c.csv diff --git a/SurgeData/N=1000/547-time_w.csv b/SurgeData/547-time_w.csv similarity index 100% rename from SurgeData/N=1000/547-time_w.csv rename to SurgeData/547-time_w.csv diff --git a/SurgeData/N=1000/547-waterlevel_c.csv b/SurgeData/547-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/547-waterlevel_c.csv rename to SurgeData/547-waterlevel_c.csv diff --git a/SurgeData/N=1000/547-waterlevel_w.csv b/SurgeData/547-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/547-waterlevel_w.csv rename to SurgeData/547-waterlevel_w.csv diff --git a/SurgeData/548-num_storm.csv b/SurgeData/548-num_storm.csv new file mode 100644 index 00000000..8d2da34f --- /dev/null +++ b/SurgeData/548-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,3.0,8.0 +2022,2.0,9.0 +2023,3.0,4.0 +2024,1.0,5.0 +2025,2.0,10.0 +2026,2.0,3.0 +2027,2.0,6.0 +2028,3.0,3.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,3.0,7.0 +2032,3.0,0.0 +2033,1.0,10.0 +2034,1.0,3.0 +2035,2.0,3.0 +2036,1.0,6.0 +2037,2.0,3.0 +2038,1.0,3.0 +2039,2.0,4.0 +2040,1.0,2.0 +2041,0.0,4.0 +2042,1.0,5.0 +2043,1.0,11.0 +2044,3.0,1.0 +2045,2.0,2.0 +2046,1.0,2.0 +2047,0.0,4.0 +2048,2.0,1.0 +2049,0.0,4.0 +2050,0.0,5.0 +2051,2.0,4.0 +2052,1.0,1.0 +2053,2.0,6.0 +2054,0.0,8.0 +2055,1.0,4.0 +2056,2.0,3.0 +2057,1.0,7.0 +2058,1.0,6.0 +2059,1.0,5.0 +2060,0.0,3.0 +2061,4.0,9.0 +2062,0.0,4.0 +2063,1.0,3.0 +2064,0.0,3.0 +2065,3.0,6.0 +2066,2.0,5.0 +2067,0.0,2.0 +2068,2.0,5.0 +2069,2.0,4.0 +2070,1.0,5.0 +2071,1.0,5.0 +2072,3.0,3.0 +2073,2.0,3.0 +2074,0.0,1.0 +2075,2.0,4.0 +2076,2.0,4.0 +2077,1.0,4.0 +2078,6.0,5.0 +2079,1.0,4.0 +2080,3.0,5.0 +2081,0.0,3.0 +2082,1.0,3.0 +2083,3.0,5.0 +2084,1.0,5.0 +2085,0.0,2.0 +2086,2.0,8.0 +2087,1.0,6.0 +2088,1.0,2.0 +2089,0.0,2.0 +2090,1.0,5.0 +2091,1.0,4.0 +2092,2.0,3.0 +2093,2.0,6.0 +2094,3.0,3.0 +2095,1.0,1.0 +2096,2.0,6.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,2.0,3.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/548-peak+year_c.csv b/SurgeData/548-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/548-peak+year_c.csv rename to SurgeData/548-peak+year_c.csv diff --git a/SurgeData/N=1000/548-peak+year_w.csv b/SurgeData/548-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/548-peak+year_w.csv rename to SurgeData/548-peak+year_w.csv diff --git a/SurgeData/N=1000/548-peak_c.csv b/SurgeData/548-peak_c.csv similarity index 100% rename from SurgeData/N=1000/548-peak_c.csv rename to SurgeData/548-peak_c.csv diff --git a/SurgeData/N=1000/548-peak_w.csv b/SurgeData/548-peak_w.csv similarity index 100% rename from SurgeData/N=1000/548-peak_w.csv rename to SurgeData/548-peak_w.csv diff --git a/SurgeData/N=1000/548-surge_c.csv b/SurgeData/548-surge_c.csv similarity index 100% rename from SurgeData/N=1000/548-surge_c.csv rename to SurgeData/548-surge_c.csv diff --git a/SurgeData/N=1000/548-surge_w.csv b/SurgeData/548-surge_w.csv similarity index 100% rename from SurgeData/N=1000/548-surge_w.csv rename to SurgeData/548-surge_w.csv diff --git a/SurgeData/N=1000/548-time_c.csv b/SurgeData/548-time_c.csv similarity index 100% rename from SurgeData/N=1000/548-time_c.csv rename to SurgeData/548-time_c.csv diff --git a/SurgeData/N=1000/548-time_w.csv b/SurgeData/548-time_w.csv similarity index 100% rename from SurgeData/N=1000/548-time_w.csv rename to SurgeData/548-time_w.csv diff --git a/SurgeData/N=1000/548-waterlevel_c.csv b/SurgeData/548-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/548-waterlevel_c.csv rename to SurgeData/548-waterlevel_c.csv diff --git a/SurgeData/N=1000/548-waterlevel_w.csv b/SurgeData/548-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/548-waterlevel_w.csv rename to SurgeData/548-waterlevel_w.csv diff --git a/SurgeData/549-num_storm.csv b/SurgeData/549-num_storm.csv new file mode 100644 index 00000000..25231783 --- /dev/null +++ b/SurgeData/549-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,5.0 +2022,2.0,2.0 +2023,3.0,2.0 +2024,1.0,0.0 +2025,0.0,3.0 +2026,1.0,2.0 +2027,2.0,1.0 +2028,1.0,6.0 +2029,0.0,2.0 +2030,3.0,4.0 +2031,1.0,6.0 +2032,2.0,3.0 +2033,1.0,4.0 +2034,2.0,2.0 +2035,1.0,1.0 +2036,1.0,8.0 +2037,0.0,6.0 +2038,1.0,2.0 +2039,0.0,5.0 +2040,0.0,3.0 +2041,1.0,4.0 +2042,1.0,0.0 +2043,0.0,2.0 +2044,2.0,1.0 +2045,0.0,1.0 +2046,2.0,3.0 +2047,1.0,5.0 +2048,1.0,4.0 +2049,2.0,7.0 +2050,2.0,3.0 +2051,3.0,2.0 +2052,3.0,6.0 +2053,0.0,4.0 +2054,2.0,2.0 +2055,1.0,2.0 +2056,2.0,6.0 +2057,3.0,3.0 +2058,2.0,4.0 +2059,4.0,4.0 +2060,1.0,3.0 +2061,1.0,4.0 +2062,2.0,8.0 +2063,2.0,7.0 +2064,2.0,6.0 +2065,3.0,1.0 +2066,6.0,7.0 +2067,1.0,3.0 +2068,1.0,3.0 +2069,2.0,7.0 +2070,3.0,3.0 +2071,0.0,5.0 +2072,1.0,4.0 +2073,1.0,3.0 +2074,0.0,7.0 +2075,2.0,6.0 +2076,4.0,6.0 +2077,1.0,2.0 +2078,2.0,6.0 +2079,2.0,3.0 +2080,2.0,3.0 +2081,2.0,3.0 +2082,2.0,5.0 +2083,2.0,8.0 +2084,1.0,3.0 +2085,2.0,1.0 +2086,6.0,4.0 +2087,2.0,8.0 +2088,2.0,2.0 +2089,1.0,1.0 +2090,0.0,7.0 +2091,1.0,8.0 +2092,2.0,2.0 +2093,1.0,5.0 +2094,1.0,4.0 +2095,2.0,2.0 +2096,1.0,3.0 +2097,2.0,7.0 +2098,0.0,4.0 +2099,1.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/549-peak+year_c.csv b/SurgeData/549-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/549-peak+year_c.csv rename to SurgeData/549-peak+year_c.csv diff --git a/SurgeData/N=1000/549-peak+year_w.csv b/SurgeData/549-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/549-peak+year_w.csv rename to SurgeData/549-peak+year_w.csv diff --git a/SurgeData/N=1000/549-peak_c.csv b/SurgeData/549-peak_c.csv similarity index 100% rename from SurgeData/N=1000/549-peak_c.csv rename to SurgeData/549-peak_c.csv diff --git a/SurgeData/N=1000/549-peak_w.csv b/SurgeData/549-peak_w.csv similarity index 100% rename from SurgeData/N=1000/549-peak_w.csv rename to SurgeData/549-peak_w.csv diff --git a/SurgeData/N=1000/549-surge_c.csv b/SurgeData/549-surge_c.csv similarity index 100% rename from SurgeData/N=1000/549-surge_c.csv rename to SurgeData/549-surge_c.csv diff --git a/SurgeData/N=1000/549-surge_w.csv b/SurgeData/549-surge_w.csv similarity index 100% rename from SurgeData/N=1000/549-surge_w.csv rename to SurgeData/549-surge_w.csv diff --git a/SurgeData/N=1000/549-time_c.csv b/SurgeData/549-time_c.csv similarity index 100% rename from SurgeData/N=1000/549-time_c.csv rename to SurgeData/549-time_c.csv diff --git a/SurgeData/N=1000/549-time_w.csv b/SurgeData/549-time_w.csv similarity index 100% rename from SurgeData/N=1000/549-time_w.csv rename to SurgeData/549-time_w.csv diff --git a/SurgeData/N=1000/549-waterlevel_c.csv b/SurgeData/549-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/549-waterlevel_c.csv rename to SurgeData/549-waterlevel_c.csv diff --git a/SurgeData/N=1000/549-waterlevel_w.csv b/SurgeData/549-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/549-waterlevel_w.csv rename to SurgeData/549-waterlevel_w.csv diff --git a/SurgeData/55-num_storm.csv b/SurgeData/55-num_storm.csv new file mode 100644 index 00000000..3225f9cb --- /dev/null +++ b/SurgeData/55-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,7.0 +2021,1.0,2.0 +2022,2.0,4.0 +2023,1.0,5.0 +2024,0.0,5.0 +2025,1.0,2.0 +2026,1.0,2.0 +2027,2.0,2.0 +2028,0.0,5.0 +2029,4.0,4.0 +2030,1.0,3.0 +2031,3.0,7.0 +2032,0.0,4.0 +2033,1.0,1.0 +2034,0.0,4.0 +2035,3.0,3.0 +2036,2.0,3.0 +2037,2.0,3.0 +2038,1.0,5.0 +2039,0.0,4.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,1.0,5.0 +2043,1.0,7.0 +2044,3.0,4.0 +2045,0.0,5.0 +2046,1.0,3.0 +2047,1.0,9.0 +2048,2.0,5.0 +2049,1.0,1.0 +2050,3.0,4.0 +2051,0.0,7.0 +2052,2.0,4.0 +2053,1.0,6.0 +2054,0.0,4.0 +2055,1.0,2.0 +2056,1.0,5.0 +2057,0.0,4.0 +2058,4.0,3.0 +2059,1.0,5.0 +2060,2.0,5.0 +2061,0.0,4.0 +2062,4.0,3.0 +2063,4.0,4.0 +2064,0.0,2.0 +2065,1.0,3.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,3.0,3.0 +2069,1.0,1.0 +2070,3.0,4.0 +2071,2.0,7.0 +2072,1.0,3.0 +2073,1.0,5.0 +2074,3.0,0.0 +2075,3.0,4.0 +2076,1.0,5.0 +2077,1.0,5.0 +2078,4.0,1.0 +2079,2.0,9.0 +2080,1.0,3.0 +2081,1.0,4.0 +2082,1.0,3.0 +2083,1.0,10.0 +2084,1.0,6.0 +2085,1.0,6.0 +2086,0.0,6.0 +2087,3.0,6.0 +2088,1.0,5.0 +2089,2.0,2.0 +2090,1.0,8.0 +2091,4.0,4.0 +2092,2.0,7.0 +2093,1.0,4.0 +2094,3.0,6.0 +2095,1.0,5.0 +2096,0.0,1.0 +2097,0.0,5.0 +2098,2.0,8.0 +2099,1.0,1.0 +2100,4.0,4.0 diff --git a/SurgeData/N=1000/55-peak+year_c.csv b/SurgeData/55-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/55-peak+year_c.csv rename to SurgeData/55-peak+year_c.csv diff --git a/SurgeData/N=1000/55-peak+year_w.csv b/SurgeData/55-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/55-peak+year_w.csv rename to SurgeData/55-peak+year_w.csv diff --git a/SurgeData/N=1000/55-peak_c.csv b/SurgeData/55-peak_c.csv similarity index 100% rename from SurgeData/N=1000/55-peak_c.csv rename to SurgeData/55-peak_c.csv diff --git a/SurgeData/N=1000/55-peak_w.csv b/SurgeData/55-peak_w.csv similarity index 100% rename from SurgeData/N=1000/55-peak_w.csv rename to SurgeData/55-peak_w.csv diff --git a/SurgeData/N=1000/55-surge_c.csv b/SurgeData/55-surge_c.csv similarity index 100% rename from SurgeData/N=1000/55-surge_c.csv rename to SurgeData/55-surge_c.csv diff --git a/SurgeData/N=1000/55-surge_w.csv b/SurgeData/55-surge_w.csv similarity index 100% rename from SurgeData/N=1000/55-surge_w.csv rename to SurgeData/55-surge_w.csv diff --git a/SurgeData/N=1000/55-time_c.csv b/SurgeData/55-time_c.csv similarity index 100% rename from SurgeData/N=1000/55-time_c.csv rename to SurgeData/55-time_c.csv diff --git a/SurgeData/N=1000/55-time_w.csv b/SurgeData/55-time_w.csv similarity index 100% rename from SurgeData/N=1000/55-time_w.csv rename to SurgeData/55-time_w.csv diff --git a/SurgeData/N=1000/55-waterlevel_c.csv b/SurgeData/55-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/55-waterlevel_c.csv rename to SurgeData/55-waterlevel_c.csv diff --git a/SurgeData/N=1000/55-waterlevel_w.csv b/SurgeData/55-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/55-waterlevel_w.csv rename to SurgeData/55-waterlevel_w.csv diff --git a/SurgeData/550-num_storm.csv b/SurgeData/550-num_storm.csv new file mode 100644 index 00000000..d3c5ba70 --- /dev/null +++ b/SurgeData/550-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,5.0 +2022,0.0,5.0 +2023,1.0,4.0 +2024,0.0,4.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,3.0,5.0 +2028,4.0,5.0 +2029,3.0,7.0 +2030,2.0,4.0 +2031,2.0,4.0 +2032,0.0,3.0 +2033,3.0,5.0 +2034,1.0,1.0 +2035,1.0,6.0 +2036,2.0,6.0 +2037,2.0,3.0 +2038,0.0,7.0 +2039,0.0,2.0 +2040,3.0,2.0 +2041,2.0,3.0 +2042,2.0,5.0 +2043,1.0,2.0 +2044,4.0,3.0 +2045,0.0,3.0 +2046,0.0,3.0 +2047,1.0,7.0 +2048,1.0,2.0 +2049,0.0,5.0 +2050,2.0,6.0 +2051,1.0,1.0 +2052,3.0,3.0 +2053,0.0,1.0 +2054,1.0,5.0 +2055,0.0,5.0 +2056,4.0,8.0 +2057,1.0,6.0 +2058,4.0,6.0 +2059,5.0,3.0 +2060,2.0,4.0 +2061,3.0,3.0 +2062,0.0,2.0 +2063,4.0,3.0 +2064,3.0,1.0 +2065,0.0,3.0 +2066,0.0,4.0 +2067,1.0,6.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,1.0,5.0 +2071,2.0,7.0 +2072,2.0,4.0 +2073,0.0,4.0 +2074,1.0,6.0 +2075,2.0,3.0 +2076,1.0,7.0 +2077,0.0,4.0 +2078,2.0,3.0 +2079,2.0,1.0 +2080,2.0,5.0 +2081,1.0,5.0 +2082,1.0,4.0 +2083,2.0,5.0 +2084,1.0,5.0 +2085,1.0,5.0 +2086,4.0,8.0 +2087,3.0,5.0 +2088,4.0,3.0 +2089,5.0,5.0 +2090,4.0,4.0 +2091,1.0,5.0 +2092,0.0,5.0 +2093,0.0,5.0 +2094,2.0,2.0 +2095,1.0,2.0 +2096,1.0,5.0 +2097,4.0,5.0 +2098,0.0,3.0 +2099,3.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/550-peak+year_c.csv b/SurgeData/550-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/550-peak+year_c.csv rename to SurgeData/550-peak+year_c.csv diff --git a/SurgeData/N=1000/550-peak+year_w.csv b/SurgeData/550-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/550-peak+year_w.csv rename to SurgeData/550-peak+year_w.csv diff --git a/SurgeData/N=1000/550-peak_c.csv b/SurgeData/550-peak_c.csv similarity index 100% rename from SurgeData/N=1000/550-peak_c.csv rename to SurgeData/550-peak_c.csv diff --git a/SurgeData/N=1000/550-peak_w.csv b/SurgeData/550-peak_w.csv similarity index 100% rename from SurgeData/N=1000/550-peak_w.csv rename to SurgeData/550-peak_w.csv diff --git a/SurgeData/N=1000/550-surge_c.csv b/SurgeData/550-surge_c.csv similarity index 100% rename from SurgeData/N=1000/550-surge_c.csv rename to SurgeData/550-surge_c.csv diff --git a/SurgeData/N=1000/550-surge_w.csv b/SurgeData/550-surge_w.csv similarity index 100% rename from SurgeData/N=1000/550-surge_w.csv rename to SurgeData/550-surge_w.csv diff --git a/SurgeData/N=1000/550-time_c.csv b/SurgeData/550-time_c.csv similarity index 100% rename from SurgeData/N=1000/550-time_c.csv rename to SurgeData/550-time_c.csv diff --git a/SurgeData/N=1000/550-time_w.csv b/SurgeData/550-time_w.csv similarity index 100% rename from SurgeData/N=1000/550-time_w.csv rename to SurgeData/550-time_w.csv diff --git a/SurgeData/N=1000/550-waterlevel_c.csv b/SurgeData/550-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/550-waterlevel_c.csv rename to SurgeData/550-waterlevel_c.csv diff --git a/SurgeData/N=1000/550-waterlevel_w.csv b/SurgeData/550-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/550-waterlevel_w.csv rename to SurgeData/550-waterlevel_w.csv diff --git a/SurgeData/551-num_storm.csv b/SurgeData/551-num_storm.csv new file mode 100644 index 00000000..9569a608 --- /dev/null +++ b/SurgeData/551-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,6.0 +2022,2.0,2.0 +2023,3.0,7.0 +2024,1.0,6.0 +2025,2.0,5.0 +2026,0.0,1.0 +2027,0.0,5.0 +2028,2.0,2.0 +2029,1.0,6.0 +2030,1.0,6.0 +2031,1.0,7.0 +2032,4.0,1.0 +2033,2.0,4.0 +2034,4.0,1.0 +2035,4.0,5.0 +2036,2.0,9.0 +2037,0.0,1.0 +2038,0.0,7.0 +2039,2.0,4.0 +2040,2.0,8.0 +2041,1.0,7.0 +2042,1.0,3.0 +2043,3.0,2.0 +2044,1.0,3.0 +2045,1.0,3.0 +2046,3.0,5.0 +2047,2.0,2.0 +2048,0.0,4.0 +2049,0.0,5.0 +2050,0.0,6.0 +2051,1.0,3.0 +2052,2.0,5.0 +2053,4.0,5.0 +2054,1.0,3.0 +2055,3.0,1.0 +2056,0.0,4.0 +2057,1.0,1.0 +2058,1.0,4.0 +2059,1.0,3.0 +2060,1.0,3.0 +2061,2.0,7.0 +2062,2.0,2.0 +2063,4.0,5.0 +2064,1.0,6.0 +2065,2.0,5.0 +2066,3.0,6.0 +2067,1.0,3.0 +2068,2.0,2.0 +2069,1.0,2.0 +2070,4.0,3.0 +2071,0.0,5.0 +2072,1.0,4.0 +2073,3.0,4.0 +2074,1.0,3.0 +2075,2.0,2.0 +2076,2.0,6.0 +2077,1.0,4.0 +2078,0.0,6.0 +2079,2.0,4.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,0.0,5.0 +2083,0.0,6.0 +2084,2.0,1.0 +2085,3.0,5.0 +2086,1.0,3.0 +2087,1.0,4.0 +2088,3.0,7.0 +2089,0.0,1.0 +2090,0.0,5.0 +2091,2.0,2.0 +2092,3.0,4.0 +2093,2.0,1.0 +2094,0.0,4.0 +2095,4.0,3.0 +2096,2.0,3.0 +2097,3.0,5.0 +2098,3.0,3.0 +2099,0.0,4.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/551-peak+year_c.csv b/SurgeData/551-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/551-peak+year_c.csv rename to SurgeData/551-peak+year_c.csv diff --git a/SurgeData/N=1000/551-peak+year_w.csv b/SurgeData/551-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/551-peak+year_w.csv rename to SurgeData/551-peak+year_w.csv diff --git a/SurgeData/N=1000/551-peak_c.csv b/SurgeData/551-peak_c.csv similarity index 100% rename from SurgeData/N=1000/551-peak_c.csv rename to SurgeData/551-peak_c.csv diff --git a/SurgeData/N=1000/551-peak_w.csv b/SurgeData/551-peak_w.csv similarity index 100% rename from SurgeData/N=1000/551-peak_w.csv rename to SurgeData/551-peak_w.csv diff --git a/SurgeData/N=1000/551-surge_c.csv b/SurgeData/551-surge_c.csv similarity index 100% rename from SurgeData/N=1000/551-surge_c.csv rename to SurgeData/551-surge_c.csv diff --git a/SurgeData/N=1000/551-surge_w.csv b/SurgeData/551-surge_w.csv similarity index 100% rename from SurgeData/N=1000/551-surge_w.csv rename to SurgeData/551-surge_w.csv diff --git a/SurgeData/N=1000/551-time_c.csv b/SurgeData/551-time_c.csv similarity index 100% rename from SurgeData/N=1000/551-time_c.csv rename to SurgeData/551-time_c.csv diff --git a/SurgeData/N=1000/551-time_w.csv b/SurgeData/551-time_w.csv similarity index 100% rename from SurgeData/N=1000/551-time_w.csv rename to SurgeData/551-time_w.csv diff --git a/SurgeData/N=1000/551-waterlevel_c.csv b/SurgeData/551-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/551-waterlevel_c.csv rename to SurgeData/551-waterlevel_c.csv diff --git a/SurgeData/N=1000/551-waterlevel_w.csv b/SurgeData/551-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/551-waterlevel_w.csv rename to SurgeData/551-waterlevel_w.csv diff --git a/SurgeData/552-num_storm.csv b/SurgeData/552-num_storm.csv new file mode 100644 index 00000000..83560179 --- /dev/null +++ b/SurgeData/552-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,2.0 +2022,2.0,5.0 +2023,2.0,2.0 +2024,1.0,5.0 +2025,1.0,8.0 +2026,4.0,4.0 +2027,3.0,3.0 +2028,1.0,7.0 +2029,1.0,1.0 +2030,0.0,7.0 +2031,1.0,4.0 +2032,2.0,1.0 +2033,3.0,6.0 +2034,2.0,2.0 +2035,4.0,2.0 +2036,1.0,4.0 +2037,0.0,4.0 +2038,3.0,4.0 +2039,0.0,4.0 +2040,2.0,4.0 +2041,0.0,4.0 +2042,1.0,4.0 +2043,0.0,4.0 +2044,0.0,3.0 +2045,2.0,4.0 +2046,1.0,1.0 +2047,2.0,5.0 +2048,1.0,8.0 +2049,1.0,3.0 +2050,0.0,3.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,1.0,4.0 +2054,0.0,0.0 +2055,3.0,5.0 +2056,2.0,4.0 +2057,1.0,3.0 +2058,2.0,3.0 +2059,2.0,5.0 +2060,2.0,3.0 +2061,0.0,6.0 +2062,2.0,3.0 +2063,1.0,3.0 +2064,0.0,3.0 +2065,0.0,3.0 +2066,3.0,4.0 +2067,1.0,10.0 +2068,2.0,3.0 +2069,0.0,5.0 +2070,2.0,4.0 +2071,1.0,3.0 +2072,0.0,4.0 +2073,1.0,4.0 +2074,2.0,4.0 +2075,4.0,0.0 +2076,1.0,5.0 +2077,3.0,5.0 +2078,4.0,6.0 +2079,2.0,4.0 +2080,2.0,1.0 +2081,1.0,8.0 +2082,1.0,1.0 +2083,0.0,2.0 +2084,2.0,1.0 +2085,0.0,2.0 +2086,1.0,7.0 +2087,3.0,2.0 +2088,2.0,3.0 +2089,2.0,1.0 +2090,1.0,3.0 +2091,2.0,5.0 +2092,1.0,6.0 +2093,2.0,4.0 +2094,4.0,3.0 +2095,1.0,3.0 +2096,1.0,3.0 +2097,0.0,5.0 +2098,1.0,3.0 +2099,0.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/552-peak+year_c.csv b/SurgeData/552-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/552-peak+year_c.csv rename to SurgeData/552-peak+year_c.csv diff --git a/SurgeData/N=1000/552-peak+year_w.csv b/SurgeData/552-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/552-peak+year_w.csv rename to SurgeData/552-peak+year_w.csv diff --git a/SurgeData/N=1000/552-peak_c.csv b/SurgeData/552-peak_c.csv similarity index 100% rename from SurgeData/N=1000/552-peak_c.csv rename to SurgeData/552-peak_c.csv diff --git a/SurgeData/N=1000/552-peak_w.csv b/SurgeData/552-peak_w.csv similarity index 100% rename from SurgeData/N=1000/552-peak_w.csv rename to SurgeData/552-peak_w.csv diff --git a/SurgeData/N=1000/552-surge_c.csv b/SurgeData/552-surge_c.csv similarity index 100% rename from SurgeData/N=1000/552-surge_c.csv rename to SurgeData/552-surge_c.csv diff --git a/SurgeData/N=1000/552-surge_w.csv b/SurgeData/552-surge_w.csv similarity index 100% rename from SurgeData/N=1000/552-surge_w.csv rename to SurgeData/552-surge_w.csv diff --git a/SurgeData/N=1000/552-time_c.csv b/SurgeData/552-time_c.csv similarity index 100% rename from SurgeData/N=1000/552-time_c.csv rename to SurgeData/552-time_c.csv diff --git a/SurgeData/N=1000/552-time_w.csv b/SurgeData/552-time_w.csv similarity index 100% rename from SurgeData/N=1000/552-time_w.csv rename to SurgeData/552-time_w.csv diff --git a/SurgeData/N=1000/552-waterlevel_c.csv b/SurgeData/552-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/552-waterlevel_c.csv rename to SurgeData/552-waterlevel_c.csv diff --git a/SurgeData/N=1000/552-waterlevel_w.csv b/SurgeData/552-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/552-waterlevel_w.csv rename to SurgeData/552-waterlevel_w.csv diff --git a/SurgeData/553-num_storm.csv b/SurgeData/553-num_storm.csv new file mode 100644 index 00000000..17c3a092 --- /dev/null +++ b/SurgeData/553-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,1.0 +2021,1.0,2.0 +2022,2.0,2.0 +2023,3.0,5.0 +2024,0.0,5.0 +2025,1.0,1.0 +2026,4.0,4.0 +2027,0.0,5.0 +2028,1.0,7.0 +2029,2.0,5.0 +2030,2.0,3.0 +2031,1.0,10.0 +2032,0.0,2.0 +2033,0.0,2.0 +2034,2.0,5.0 +2035,0.0,3.0 +2036,2.0,2.0 +2037,3.0,5.0 +2038,3.0,6.0 +2039,0.0,3.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,1.0,6.0 +2043,2.0,3.0 +2044,3.0,2.0 +2045,4.0,7.0 +2046,0.0,3.0 +2047,0.0,5.0 +2048,0.0,7.0 +2049,0.0,5.0 +2050,0.0,2.0 +2051,0.0,2.0 +2052,4.0,2.0 +2053,2.0,3.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,2.0,6.0 +2057,0.0,5.0 +2058,2.0,3.0 +2059,1.0,2.0 +2060,0.0,6.0 +2061,1.0,1.0 +2062,1.0,5.0 +2063,2.0,4.0 +2064,1.0,3.0 +2065,2.0,6.0 +2066,2.0,6.0 +2067,1.0,6.0 +2068,3.0,3.0 +2069,0.0,4.0 +2070,1.0,1.0 +2071,2.0,1.0 +2072,2.0,1.0 +2073,1.0,5.0 +2074,0.0,5.0 +2075,1.0,2.0 +2076,1.0,5.0 +2077,0.0,1.0 +2078,2.0,4.0 +2079,1.0,4.0 +2080,1.0,7.0 +2081,1.0,3.0 +2082,1.0,6.0 +2083,0.0,7.0 +2084,0.0,4.0 +2085,0.0,4.0 +2086,0.0,4.0 +2087,3.0,3.0 +2088,2.0,3.0 +2089,1.0,5.0 +2090,1.0,7.0 +2091,1.0,6.0 +2092,2.0,1.0 +2093,2.0,5.0 +2094,1.0,2.0 +2095,0.0,5.0 +2096,2.0,5.0 +2097,1.0,3.0 +2098,1.0,5.0 +2099,0.0,3.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/553-peak+year_c.csv b/SurgeData/553-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/553-peak+year_c.csv rename to SurgeData/553-peak+year_c.csv diff --git a/SurgeData/N=1000/553-peak+year_w.csv b/SurgeData/553-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/553-peak+year_w.csv rename to SurgeData/553-peak+year_w.csv diff --git a/SurgeData/N=1000/553-peak_c.csv b/SurgeData/553-peak_c.csv similarity index 100% rename from SurgeData/N=1000/553-peak_c.csv rename to SurgeData/553-peak_c.csv diff --git a/SurgeData/N=1000/553-peak_w.csv b/SurgeData/553-peak_w.csv similarity index 100% rename from SurgeData/N=1000/553-peak_w.csv rename to SurgeData/553-peak_w.csv diff --git a/SurgeData/N=1000/553-surge_c.csv b/SurgeData/553-surge_c.csv similarity index 100% rename from SurgeData/N=1000/553-surge_c.csv rename to SurgeData/553-surge_c.csv diff --git a/SurgeData/N=1000/553-surge_w.csv b/SurgeData/553-surge_w.csv similarity index 100% rename from SurgeData/N=1000/553-surge_w.csv rename to SurgeData/553-surge_w.csv diff --git a/SurgeData/N=1000/553-time_c.csv b/SurgeData/553-time_c.csv similarity index 100% rename from SurgeData/N=1000/553-time_c.csv rename to SurgeData/553-time_c.csv diff --git a/SurgeData/N=1000/553-time_w.csv b/SurgeData/553-time_w.csv similarity index 100% rename from SurgeData/N=1000/553-time_w.csv rename to SurgeData/553-time_w.csv diff --git a/SurgeData/N=1000/553-waterlevel_c.csv b/SurgeData/553-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/553-waterlevel_c.csv rename to SurgeData/553-waterlevel_c.csv diff --git a/SurgeData/N=1000/553-waterlevel_w.csv b/SurgeData/553-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/553-waterlevel_w.csv rename to SurgeData/553-waterlevel_w.csv diff --git a/SurgeData/N=1000/554-peak+year_c.csv b/SurgeData/554-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/554-peak+year_c.csv rename to SurgeData/554-peak+year_c.csv diff --git a/SurgeData/N=1000/554-peak+year_w.csv b/SurgeData/554-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/554-peak+year_w.csv rename to SurgeData/554-peak+year_w.csv diff --git a/SurgeData/N=1000/554-peak_c.csv b/SurgeData/554-peak_c.csv similarity index 100% rename from SurgeData/N=1000/554-peak_c.csv rename to SurgeData/554-peak_c.csv diff --git a/SurgeData/N=1000/554-peak_w.csv b/SurgeData/554-peak_w.csv similarity index 100% rename from SurgeData/N=1000/554-peak_w.csv rename to SurgeData/554-peak_w.csv diff --git a/SurgeData/N=1000/554-surge_c.csv b/SurgeData/554-surge_c.csv similarity index 100% rename from SurgeData/N=1000/554-surge_c.csv rename to SurgeData/554-surge_c.csv diff --git a/SurgeData/N=1000/554-surge_w.csv b/SurgeData/554-surge_w.csv similarity index 100% rename from SurgeData/N=1000/554-surge_w.csv rename to SurgeData/554-surge_w.csv diff --git a/SurgeData/N=1000/554-time_c.csv b/SurgeData/554-time_c.csv similarity index 100% rename from SurgeData/N=1000/554-time_c.csv rename to SurgeData/554-time_c.csv diff --git a/SurgeData/N=1000/554-time_w.csv b/SurgeData/554-time_w.csv similarity index 100% rename from SurgeData/N=1000/554-time_w.csv rename to SurgeData/554-time_w.csv diff --git a/SurgeData/N=1000/554-waterlevel_c.csv b/SurgeData/554-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/554-waterlevel_c.csv rename to SurgeData/554-waterlevel_c.csv diff --git a/SurgeData/N=1000/554-waterlevel_w.csv b/SurgeData/554-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/554-waterlevel_w.csv rename to SurgeData/554-waterlevel_w.csv diff --git a/SurgeData/555-num_storm.csv b/SurgeData/555-num_storm.csv new file mode 100644 index 00000000..a55b4d3e --- /dev/null +++ b/SurgeData/555-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,3.0,3.0 +2022,1.0,7.0 +2023,1.0,5.0 +2024,0.0,1.0 +2025,1.0,6.0 +2026,2.0,2.0 +2027,1.0,3.0 +2028,3.0,3.0 +2029,1.0,3.0 +2030,1.0,5.0 +2031,1.0,3.0 +2032,0.0,4.0 +2033,0.0,7.0 +2034,1.0,4.0 +2035,2.0,6.0 +2036,1.0,1.0 +2037,2.0,1.0 +2038,0.0,4.0 +2039,0.0,5.0 +2040,4.0,3.0 +2041,2.0,5.0 +2042,4.0,5.0 +2043,0.0,3.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,3.0,4.0 +2047,0.0,2.0 +2048,0.0,1.0 +2049,2.0,7.0 +2050,1.0,5.0 +2051,2.0,1.0 +2052,2.0,7.0 +2053,0.0,4.0 +2054,2.0,6.0 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SurgeData/555-peak+year_w.csv diff --git a/SurgeData/N=1000/555-peak_c.csv b/SurgeData/555-peak_c.csv similarity index 100% rename from SurgeData/N=1000/555-peak_c.csv rename to SurgeData/555-peak_c.csv diff --git a/SurgeData/N=1000/555-peak_w.csv b/SurgeData/555-peak_w.csv similarity index 100% rename from SurgeData/N=1000/555-peak_w.csv rename to SurgeData/555-peak_w.csv diff --git a/SurgeData/N=1000/555-surge_c.csv b/SurgeData/555-surge_c.csv similarity index 100% rename from SurgeData/N=1000/555-surge_c.csv rename to SurgeData/555-surge_c.csv diff --git a/SurgeData/N=1000/555-surge_w.csv b/SurgeData/555-surge_w.csv similarity index 100% rename from SurgeData/N=1000/555-surge_w.csv rename to SurgeData/555-surge_w.csv diff --git a/SurgeData/N=1000/555-time_c.csv b/SurgeData/555-time_c.csv similarity index 100% rename from SurgeData/N=1000/555-time_c.csv rename to SurgeData/555-time_c.csv diff --git a/SurgeData/N=1000/555-time_w.csv b/SurgeData/555-time_w.csv similarity index 100% rename from SurgeData/N=1000/555-time_w.csv rename to SurgeData/555-time_w.csv diff --git a/SurgeData/N=1000/555-waterlevel_c.csv b/SurgeData/555-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/555-waterlevel_c.csv rename to SurgeData/555-waterlevel_c.csv diff --git a/SurgeData/N=1000/555-waterlevel_w.csv b/SurgeData/555-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/555-waterlevel_w.csv rename to SurgeData/555-waterlevel_w.csv diff --git a/SurgeData/556-num_storm.csv b/SurgeData/556-num_storm.csv new file mode 100644 index 00000000..45841d62 --- /dev/null +++ b/SurgeData/556-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,1.0,8.0 +2022,1.0,4.0 +2023,0.0,4.0 +2024,3.0,3.0 +2025,1.0,2.0 +2026,1.0,5.0 +2027,0.0,2.0 +2028,0.0,4.0 +2029,1.0,5.0 +2030,1.0,5.0 +2031,3.0,4.0 +2032,0.0,8.0 +2033,1.0,7.0 +2034,2.0,7.0 +2035,1.0,7.0 +2036,2.0,7.0 +2037,4.0,4.0 +2038,1.0,2.0 +2039,1.0,6.0 +2040,1.0,8.0 +2041,4.0,2.0 +2042,1.0,5.0 +2043,1.0,1.0 +2044,2.0,5.0 +2045,3.0,2.0 +2046,1.0,5.0 +2047,1.0,3.0 +2048,2.0,6.0 +2049,1.0,4.0 +2050,1.0,0.0 +2051,1.0,2.0 +2052,2.0,4.0 +2053,1.0,3.0 +2054,1.0,6.0 +2055,2.0,5.0 +2056,4.0,3.0 +2057,2.0,6.0 +2058,0.0,5.0 +2059,3.0,4.0 +2060,3.0,3.0 +2061,0.0,5.0 +2062,1.0,0.0 +2063,1.0,1.0 +2064,2.0,5.0 +2065,2.0,2.0 +2066,1.0,5.0 +2067,3.0,1.0 +2068,0.0,2.0 +2069,1.0,4.0 +2070,1.0,5.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,2.0,5.0 +2074,0.0,2.0 +2075,2.0,3.0 +2076,1.0,3.0 +2077,2.0,7.0 +2078,1.0,1.0 +2079,1.0,1.0 +2080,1.0,3.0 +2081,2.0,3.0 +2082,2.0,4.0 +2083,0.0,8.0 +2084,2.0,9.0 +2085,2.0,4.0 +2086,5.0,5.0 +2087,2.0,5.0 +2088,4.0,4.0 +2089,0.0,7.0 +2090,1.0,2.0 +2091,0.0,3.0 +2092,3.0,1.0 +2093,3.0,3.0 +2094,1.0,3.0 +2095,1.0,7.0 +2096,1.0,3.0 +2097,0.0,1.0 +2098,2.0,11.0 +2099,1.0,5.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/556-peak+year_c.csv b/SurgeData/556-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/556-peak+year_c.csv rename to SurgeData/556-peak+year_c.csv diff --git a/SurgeData/N=1000/556-peak+year_w.csv b/SurgeData/556-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/556-peak+year_w.csv rename to SurgeData/556-peak+year_w.csv diff --git a/SurgeData/N=1000/556-peak_c.csv b/SurgeData/556-peak_c.csv similarity index 100% rename from SurgeData/N=1000/556-peak_c.csv rename to SurgeData/556-peak_c.csv diff --git a/SurgeData/N=1000/556-peak_w.csv b/SurgeData/556-peak_w.csv similarity index 100% rename from SurgeData/N=1000/556-peak_w.csv rename to SurgeData/556-peak_w.csv diff --git a/SurgeData/N=1000/556-surge_c.csv b/SurgeData/556-surge_c.csv similarity index 100% rename from SurgeData/N=1000/556-surge_c.csv rename to SurgeData/556-surge_c.csv diff --git a/SurgeData/N=1000/556-surge_w.csv b/SurgeData/556-surge_w.csv similarity index 100% rename from SurgeData/N=1000/556-surge_w.csv rename to SurgeData/556-surge_w.csv diff --git a/SurgeData/N=1000/556-time_c.csv b/SurgeData/556-time_c.csv similarity index 100% rename from SurgeData/N=1000/556-time_c.csv rename to SurgeData/556-time_c.csv diff --git a/SurgeData/N=1000/556-time_w.csv b/SurgeData/556-time_w.csv similarity index 100% rename from SurgeData/N=1000/556-time_w.csv rename to SurgeData/556-time_w.csv diff --git a/SurgeData/N=1000/556-waterlevel_c.csv b/SurgeData/556-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/556-waterlevel_c.csv rename to SurgeData/556-waterlevel_c.csv diff --git a/SurgeData/N=1000/556-waterlevel_w.csv b/SurgeData/556-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/556-waterlevel_w.csv rename to SurgeData/556-waterlevel_w.csv diff --git a/SurgeData/557-num_storm.csv b/SurgeData/557-num_storm.csv new file mode 100644 index 00000000..e5b26a9a --- /dev/null +++ b/SurgeData/557-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,1.0,3.0 +2023,1.0,2.0 +2024,0.0,4.0 +2025,4.0,4.0 +2026,1.0,6.0 +2027,2.0,8.0 +2028,0.0,4.0 +2029,2.0,2.0 +2030,4.0,4.0 +2031,1.0,4.0 +2032,2.0,4.0 +2033,0.0,5.0 +2034,5.0,0.0 +2035,1.0,4.0 +2036,2.0,2.0 +2037,3.0,5.0 +2038,2.0,4.0 +2039,0.0,7.0 +2040,2.0,7.0 +2041,2.0,5.0 +2042,4.0,5.0 +2043,1.0,2.0 +2044,1.0,1.0 +2045,1.0,5.0 +2046,1.0,2.0 +2047,1.0,1.0 +2048,0.0,6.0 +2049,4.0,1.0 +2050,1.0,1.0 +2051,1.0,4.0 +2052,1.0,5.0 +2053,2.0,4.0 +2054,1.0,4.0 +2055,2.0,6.0 +2056,2.0,4.0 +2057,0.0,7.0 +2058,1.0,3.0 +2059,2.0,4.0 +2060,1.0,2.0 +2061,0.0,3.0 +2062,0.0,1.0 +2063,0.0,4.0 +2064,1.0,1.0 +2065,0.0,4.0 +2066,1.0,3.0 +2067,7.0,5.0 +2068,2.0,3.0 +2069,1.0,2.0 +2070,1.0,3.0 +2071,3.0,6.0 +2072,1.0,7.0 +2073,2.0,6.0 +2074,2.0,4.0 +2075,2.0,5.0 +2076,1.0,7.0 +2077,3.0,4.0 +2078,2.0,4.0 +2079,2.0,5.0 +2080,1.0,2.0 +2081,1.0,1.0 +2082,2.0,3.0 +2083,1.0,6.0 +2084,1.0,1.0 +2085,1.0,5.0 +2086,2.0,4.0 +2087,4.0,2.0 +2088,1.0,5.0 +2089,3.0,5.0 +2090,0.0,3.0 +2091,5.0,2.0 +2092,1.0,8.0 +2093,2.0,2.0 +2094,2.0,4.0 +2095,2.0,4.0 +2096,0.0,4.0 +2097,0.0,2.0 +2098,2.0,5.0 +2099,1.0,1.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/557-peak+year_c.csv b/SurgeData/557-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/557-peak+year_c.csv rename to SurgeData/557-peak+year_c.csv diff --git a/SurgeData/N=1000/557-peak+year_w.csv b/SurgeData/557-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/557-peak+year_w.csv rename to SurgeData/557-peak+year_w.csv diff --git a/SurgeData/N=1000/557-peak_c.csv b/SurgeData/557-peak_c.csv similarity index 100% rename from SurgeData/N=1000/557-peak_c.csv rename to SurgeData/557-peak_c.csv diff --git a/SurgeData/N=1000/557-peak_w.csv b/SurgeData/557-peak_w.csv similarity index 100% rename from SurgeData/N=1000/557-peak_w.csv rename to SurgeData/557-peak_w.csv diff --git a/SurgeData/N=1000/557-surge_c.csv b/SurgeData/557-surge_c.csv similarity index 100% rename from SurgeData/N=1000/557-surge_c.csv rename to SurgeData/557-surge_c.csv diff --git a/SurgeData/N=1000/557-surge_w.csv b/SurgeData/557-surge_w.csv similarity index 100% rename from SurgeData/N=1000/557-surge_w.csv rename to SurgeData/557-surge_w.csv diff --git a/SurgeData/N=1000/557-time_c.csv b/SurgeData/557-time_c.csv similarity index 100% rename from SurgeData/N=1000/557-time_c.csv rename to SurgeData/557-time_c.csv diff --git a/SurgeData/N=1000/557-time_w.csv b/SurgeData/557-time_w.csv similarity index 100% rename from SurgeData/N=1000/557-time_w.csv rename to SurgeData/557-time_w.csv diff --git a/SurgeData/N=1000/557-waterlevel_c.csv b/SurgeData/557-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/557-waterlevel_c.csv rename to SurgeData/557-waterlevel_c.csv diff --git a/SurgeData/N=1000/557-waterlevel_w.csv b/SurgeData/557-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/557-waterlevel_w.csv rename to SurgeData/557-waterlevel_w.csv diff --git a/SurgeData/558-num_storm.csv b/SurgeData/558-num_storm.csv new file mode 100644 index 00000000..dfd95929 --- /dev/null +++ b/SurgeData/558-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,2.0 +2022,2.0,4.0 +2023,0.0,1.0 +2024,2.0,6.0 +2025,2.0,4.0 +2026,2.0,3.0 +2027,1.0,2.0 +2028,2.0,4.0 +2029,2.0,6.0 +2030,1.0,3.0 +2031,2.0,6.0 +2032,2.0,4.0 +2033,2.0,5.0 +2034,1.0,2.0 +2035,2.0,2.0 +2036,0.0,7.0 +2037,1.0,2.0 +2038,0.0,5.0 +2039,4.0,3.0 +2040,3.0,3.0 +2041,1.0,8.0 +2042,0.0,7.0 +2043,1.0,6.0 +2044,0.0,7.0 +2045,2.0,7.0 +2046,0.0,4.0 +2047,1.0,3.0 +2048,2.0,10.0 +2049,1.0,8.0 +2050,1.0,3.0 +2051,1.0,5.0 +2052,1.0,5.0 +2053,0.0,6.0 +2054,0.0,5.0 +2055,4.0,3.0 +2056,2.0,5.0 +2057,0.0,6.0 +2058,0.0,5.0 +2059,2.0,4.0 +2060,2.0,3.0 +2061,0.0,5.0 +2062,2.0,5.0 +2063,3.0,4.0 +2064,2.0,5.0 +2065,3.0,3.0 +2066,4.0,2.0 +2067,1.0,3.0 +2068,1.0,7.0 +2069,0.0,2.0 +2070,1.0,3.0 +2071,1.0,4.0 +2072,3.0,3.0 +2073,1.0,5.0 +2074,2.0,5.0 +2075,2.0,5.0 +2076,0.0,4.0 +2077,1.0,4.0 +2078,1.0,6.0 +2079,5.0,3.0 +2080,1.0,7.0 +2081,1.0,8.0 +2082,1.0,5.0 +2083,1.0,3.0 +2084,1.0,6.0 +2085,0.0,4.0 +2086,6.0,4.0 +2087,2.0,4.0 +2088,0.0,6.0 +2089,3.0,4.0 +2090,1.0,6.0 +2091,2.0,5.0 +2092,1.0,3.0 +2093,1.0,2.0 +2094,1.0,7.0 +2095,1.0,8.0 +2096,0.0,5.0 +2097,2.0,4.0 +2098,2.0,3.0 +2099,4.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/558-peak+year_c.csv b/SurgeData/558-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/558-peak+year_c.csv rename to SurgeData/558-peak+year_c.csv diff --git a/SurgeData/N=1000/558-peak+year_w.csv b/SurgeData/558-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/558-peak+year_w.csv rename to SurgeData/558-peak+year_w.csv diff --git a/SurgeData/N=1000/558-peak_c.csv b/SurgeData/558-peak_c.csv similarity index 100% rename from SurgeData/N=1000/558-peak_c.csv rename to SurgeData/558-peak_c.csv diff --git a/SurgeData/N=1000/558-peak_w.csv b/SurgeData/558-peak_w.csv similarity index 100% rename from SurgeData/N=1000/558-peak_w.csv rename to SurgeData/558-peak_w.csv diff --git a/SurgeData/N=1000/558-surge_c.csv b/SurgeData/558-surge_c.csv similarity index 100% rename from SurgeData/N=1000/558-surge_c.csv rename to SurgeData/558-surge_c.csv diff --git a/SurgeData/N=1000/558-surge_w.csv b/SurgeData/558-surge_w.csv similarity index 100% rename from SurgeData/N=1000/558-surge_w.csv rename to SurgeData/558-surge_w.csv diff --git a/SurgeData/N=1000/558-time_c.csv b/SurgeData/558-time_c.csv similarity index 100% rename from SurgeData/N=1000/558-time_c.csv rename to SurgeData/558-time_c.csv diff --git a/SurgeData/N=1000/558-time_w.csv b/SurgeData/558-time_w.csv similarity index 100% rename from SurgeData/N=1000/558-time_w.csv rename to SurgeData/558-time_w.csv diff --git a/SurgeData/N=1000/558-waterlevel_c.csv b/SurgeData/558-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/558-waterlevel_c.csv rename to SurgeData/558-waterlevel_c.csv diff --git a/SurgeData/N=1000/558-waterlevel_w.csv b/SurgeData/558-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/558-waterlevel_w.csv rename to SurgeData/558-waterlevel_w.csv diff --git a/SurgeData/559-num_storm.csv b/SurgeData/559-num_storm.csv new file mode 100644 index 00000000..1163867b --- /dev/null +++ b/SurgeData/559-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,9.0 +2021,1.0,4.0 +2022,0.0,6.0 +2023,0.0,3.0 +2024,1.0,1.0 +2025,1.0,2.0 +2026,1.0,5.0 +2027,0.0,4.0 +2028,3.0,3.0 +2029,1.0,10.0 +2030,0.0,2.0 +2031,1.0,2.0 +2032,1.0,4.0 +2033,3.0,4.0 +2034,1.0,3.0 +2035,1.0,7.0 +2036,0.0,4.0 +2037,0.0,2.0 +2038,0.0,4.0 +2039,0.0,4.0 +2040,3.0,7.0 +2041,3.0,4.0 +2042,2.0,2.0 +2043,1.0,4.0 +2044,1.0,7.0 +2045,1.0,4.0 +2046,2.0,3.0 +2047,1.0,0.0 +2048,2.0,5.0 +2049,1.0,8.0 +2050,1.0,6.0 +2051,0.0,3.0 +2052,2.0,5.0 +2053,2.0,7.0 +2054,4.0,4.0 +2055,1.0,7.0 +2056,1.0,6.0 +2057,0.0,4.0 +2058,3.0,1.0 +2059,2.0,6.0 +2060,1.0,5.0 +2061,1.0,5.0 +2062,1.0,1.0 +2063,0.0,5.0 +2064,0.0,0.0 +2065,0.0,8.0 +2066,0.0,4.0 +2067,2.0,4.0 +2068,4.0,7.0 +2069,1.0,1.0 +2070,1.0,3.0 +2071,4.0,7.0 +2072,0.0,2.0 +2073,2.0,4.0 +2074,3.0,6.0 +2075,2.0,2.0 +2076,3.0,4.0 +2077,0.0,2.0 +2078,2.0,3.0 +2079,0.0,4.0 +2080,0.0,4.0 +2081,2.0,4.0 +2082,2.0,3.0 +2083,3.0,2.0 +2084,1.0,8.0 +2085,2.0,1.0 +2086,2.0,3.0 +2087,0.0,5.0 +2088,2.0,4.0 +2089,1.0,2.0 +2090,0.0,2.0 +2091,0.0,6.0 +2092,4.0,6.0 +2093,0.0,8.0 +2094,1.0,3.0 +2095,0.0,3.0 +2096,2.0,4.0 +2097,3.0,4.0 +2098,1.0,4.0 +2099,2.0,3.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/559-peak+year_c.csv b/SurgeData/559-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/559-peak+year_c.csv rename to SurgeData/559-peak+year_c.csv diff --git a/SurgeData/N=1000/559-peak+year_w.csv b/SurgeData/559-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/559-peak+year_w.csv rename to SurgeData/559-peak+year_w.csv diff --git a/SurgeData/N=1000/559-peak_c.csv b/SurgeData/559-peak_c.csv similarity index 100% rename from SurgeData/N=1000/559-peak_c.csv rename to SurgeData/559-peak_c.csv diff --git a/SurgeData/N=1000/559-peak_w.csv b/SurgeData/559-peak_w.csv similarity index 100% rename from SurgeData/N=1000/559-peak_w.csv rename to SurgeData/559-peak_w.csv diff --git a/SurgeData/N=1000/559-surge_c.csv b/SurgeData/559-surge_c.csv similarity index 100% rename from SurgeData/N=1000/559-surge_c.csv rename to SurgeData/559-surge_c.csv diff --git a/SurgeData/N=1000/559-surge_w.csv b/SurgeData/559-surge_w.csv similarity index 100% rename from SurgeData/N=1000/559-surge_w.csv rename to SurgeData/559-surge_w.csv diff --git a/SurgeData/N=1000/559-time_c.csv b/SurgeData/559-time_c.csv similarity index 100% rename from SurgeData/N=1000/559-time_c.csv rename to SurgeData/559-time_c.csv diff --git a/SurgeData/N=1000/559-time_w.csv b/SurgeData/559-time_w.csv similarity index 100% rename from SurgeData/N=1000/559-time_w.csv rename to SurgeData/559-time_w.csv diff --git a/SurgeData/N=1000/559-waterlevel_c.csv b/SurgeData/559-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/559-waterlevel_c.csv rename to SurgeData/559-waterlevel_c.csv diff --git a/SurgeData/N=1000/559-waterlevel_w.csv b/SurgeData/559-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/559-waterlevel_w.csv rename to SurgeData/559-waterlevel_w.csv diff --git a/SurgeData/N=1000/56-peak+year_c.csv b/SurgeData/56-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/56-peak+year_c.csv rename to SurgeData/56-peak+year_c.csv diff --git a/SurgeData/N=1000/56-peak+year_w.csv b/SurgeData/56-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/56-peak+year_w.csv rename to SurgeData/56-peak+year_w.csv diff --git a/SurgeData/N=1000/56-peak_c.csv b/SurgeData/56-peak_c.csv similarity index 100% rename from SurgeData/N=1000/56-peak_c.csv rename to SurgeData/56-peak_c.csv diff --git a/SurgeData/N=1000/56-peak_w.csv b/SurgeData/56-peak_w.csv similarity index 100% rename from SurgeData/N=1000/56-peak_w.csv rename to SurgeData/56-peak_w.csv diff --git a/SurgeData/N=1000/56-surge_c.csv b/SurgeData/56-surge_c.csv similarity index 100% rename from SurgeData/N=1000/56-surge_c.csv rename to SurgeData/56-surge_c.csv diff --git a/SurgeData/N=1000/56-surge_w.csv b/SurgeData/56-surge_w.csv similarity index 100% rename from SurgeData/N=1000/56-surge_w.csv rename to SurgeData/56-surge_w.csv diff --git a/SurgeData/N=1000/56-time_c.csv b/SurgeData/56-time_c.csv similarity index 100% rename from SurgeData/N=1000/56-time_c.csv rename to SurgeData/56-time_c.csv diff --git a/SurgeData/N=1000/56-time_w.csv b/SurgeData/56-time_w.csv similarity index 100% rename from SurgeData/N=1000/56-time_w.csv rename to SurgeData/56-time_w.csv diff --git a/SurgeData/N=1000/56-waterlevel_c.csv b/SurgeData/56-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/56-waterlevel_c.csv rename to SurgeData/56-waterlevel_c.csv diff --git a/SurgeData/N=1000/56-waterlevel_w.csv b/SurgeData/56-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/56-waterlevel_w.csv rename to SurgeData/56-waterlevel_w.csv diff --git a/SurgeData/560-num_storm.csv b/SurgeData/560-num_storm.csv new file mode 100644 index 00000000..945c7094 --- /dev/null +++ b/SurgeData/560-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,2.0,4.0 +2023,2.0,4.0 +2024,5.0,5.0 +2025,1.0,5.0 +2026,1.0,7.0 +2027,4.0,0.0 +2028,0.0,2.0 +2029,1.0,5.0 +2030,1.0,5.0 +2031,0.0,2.0 +2032,1.0,3.0 +2033,1.0,6.0 +2034,0.0,6.0 +2035,3.0,6.0 +2036,1.0,2.0 +2037,0.0,6.0 +2038,2.0,1.0 +2039,3.0,2.0 +2040,0.0,4.0 +2041,4.0,5.0 +2042,2.0,6.0 +2043,1.0,6.0 +2044,1.0,5.0 +2045,1.0,6.0 +2046,1.0,6.0 +2047,2.0,1.0 +2048,2.0,4.0 +2049,2.0,3.0 +2050,1.0,3.0 +2051,2.0,2.0 +2052,1.0,2.0 +2053,1.0,4.0 +2054,1.0,3.0 +2055,1.0,8.0 +2056,1.0,3.0 +2057,0.0,4.0 +2058,1.0,5.0 +2059,2.0,3.0 +2060,2.0,6.0 +2061,0.0,3.0 +2062,0.0,8.0 +2063,1.0,7.0 +2064,0.0,5.0 +2065,1.0,3.0 +2066,1.0,6.0 +2067,3.0,3.0 +2068,1.0,7.0 +2069,1.0,1.0 +2070,1.0,3.0 +2071,4.0,4.0 +2072,0.0,5.0 +2073,2.0,6.0 +2074,0.0,2.0 +2075,0.0,5.0 +2076,1.0,3.0 +2077,0.0,7.0 +2078,0.0,6.0 +2079,5.0,1.0 +2080,1.0,2.0 +2081,0.0,8.0 +2082,0.0,8.0 +2083,1.0,5.0 +2084,1.0,9.0 +2085,0.0,6.0 +2086,2.0,3.0 +2087,0.0,7.0 +2088,1.0,3.0 +2089,0.0,1.0 +2090,4.0,4.0 +2091,3.0,4.0 +2092,3.0,2.0 +2093,2.0,4.0 +2094,0.0,5.0 +2095,0.0,2.0 +2096,1.0,7.0 +2097,3.0,2.0 +2098,1.0,7.0 +2099,3.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/560-peak+year_c.csv b/SurgeData/560-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/560-peak+year_c.csv rename to SurgeData/560-peak+year_c.csv diff --git a/SurgeData/N=1000/560-peak+year_w.csv b/SurgeData/560-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/560-peak+year_w.csv rename to SurgeData/560-peak+year_w.csv diff --git a/SurgeData/N=1000/560-peak_c.csv b/SurgeData/560-peak_c.csv similarity index 100% rename from SurgeData/N=1000/560-peak_c.csv rename to SurgeData/560-peak_c.csv diff --git a/SurgeData/N=1000/560-peak_w.csv b/SurgeData/560-peak_w.csv similarity index 100% rename from SurgeData/N=1000/560-peak_w.csv rename to SurgeData/560-peak_w.csv diff --git a/SurgeData/N=1000/560-surge_c.csv b/SurgeData/560-surge_c.csv similarity index 100% rename from SurgeData/N=1000/560-surge_c.csv rename to SurgeData/560-surge_c.csv diff --git a/SurgeData/N=1000/560-surge_w.csv b/SurgeData/560-surge_w.csv similarity index 100% rename from SurgeData/N=1000/560-surge_w.csv rename to SurgeData/560-surge_w.csv diff --git a/SurgeData/N=1000/560-time_c.csv b/SurgeData/560-time_c.csv similarity index 100% rename from SurgeData/N=1000/560-time_c.csv rename to SurgeData/560-time_c.csv diff --git a/SurgeData/N=1000/560-time_w.csv b/SurgeData/560-time_w.csv similarity index 100% rename from SurgeData/N=1000/560-time_w.csv rename to SurgeData/560-time_w.csv diff --git a/SurgeData/N=1000/560-waterlevel_c.csv b/SurgeData/560-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/560-waterlevel_c.csv rename to SurgeData/560-waterlevel_c.csv diff --git a/SurgeData/N=1000/560-waterlevel_w.csv b/SurgeData/560-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/560-waterlevel_w.csv rename to SurgeData/560-waterlevel_w.csv diff --git a/SurgeData/561-num_storm.csv b/SurgeData/561-num_storm.csv new file mode 100644 index 00000000..e0114ae7 --- /dev/null +++ b/SurgeData/561-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,4.0,2.0 +2022,3.0,4.0 +2023,2.0,6.0 +2024,1.0,5.0 +2025,1.0,5.0 +2026,2.0,4.0 +2027,3.0,2.0 +2028,1.0,6.0 +2029,1.0,5.0 +2030,2.0,4.0 +2031,0.0,5.0 +2032,3.0,5.0 +2033,0.0,1.0 +2034,1.0,4.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,0.0,6.0 +2038,4.0,4.0 +2039,0.0,5.0 +2040,0.0,2.0 +2041,1.0,2.0 +2042,0.0,1.0 +2043,1.0,3.0 +2044,3.0,2.0 +2045,2.0,2.0 +2046,4.0,1.0 +2047,3.0,5.0 +2048,0.0,1.0 +2049,3.0,4.0 +2050,1.0,4.0 +2051,2.0,5.0 +2052,1.0,6.0 +2053,0.0,0.0 +2054,1.0,7.0 +2055,2.0,3.0 +2056,1.0,1.0 +2057,1.0,6.0 +2058,3.0,4.0 +2059,1.0,3.0 +2060,0.0,3.0 +2061,2.0,2.0 +2062,1.0,5.0 +2063,1.0,5.0 +2064,0.0,7.0 +2065,4.0,1.0 +2066,1.0,6.0 +2067,1.0,5.0 +2068,3.0,5.0 +2069,1.0,3.0 +2070,1.0,6.0 +2071,5.0,8.0 +2072,2.0,2.0 +2073,0.0,6.0 +2074,1.0,5.0 +2075,3.0,5.0 +2076,1.0,7.0 +2077,5.0,6.0 +2078,1.0,0.0 +2079,0.0,4.0 +2080,0.0,6.0 +2081,5.0,2.0 +2082,1.0,8.0 +2083,2.0,1.0 +2084,1.0,3.0 +2085,1.0,3.0 +2086,1.0,4.0 +2087,2.0,3.0 +2088,4.0,6.0 +2089,4.0,4.0 +2090,1.0,3.0 +2091,2.0,3.0 +2092,2.0,6.0 +2093,1.0,8.0 +2094,3.0,7.0 +2095,0.0,1.0 +2096,4.0,3.0 +2097,3.0,7.0 +2098,2.0,6.0 +2099,2.0,4.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/561-peak+year_c.csv b/SurgeData/561-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/561-peak+year_c.csv rename to SurgeData/561-peak+year_c.csv diff --git a/SurgeData/N=1000/561-peak+year_w.csv b/SurgeData/561-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/561-peak+year_w.csv rename to SurgeData/561-peak+year_w.csv diff --git a/SurgeData/N=1000/561-peak_c.csv b/SurgeData/561-peak_c.csv similarity index 100% rename from SurgeData/N=1000/561-peak_c.csv rename to SurgeData/561-peak_c.csv diff --git a/SurgeData/N=1000/561-peak_w.csv b/SurgeData/561-peak_w.csv similarity index 100% rename from SurgeData/N=1000/561-peak_w.csv rename to SurgeData/561-peak_w.csv diff --git a/SurgeData/N=1000/561-surge_c.csv b/SurgeData/561-surge_c.csv similarity index 100% rename from SurgeData/N=1000/561-surge_c.csv rename to SurgeData/561-surge_c.csv diff --git a/SurgeData/N=1000/561-surge_w.csv b/SurgeData/561-surge_w.csv similarity index 100% rename from SurgeData/N=1000/561-surge_w.csv rename to SurgeData/561-surge_w.csv diff --git a/SurgeData/N=1000/561-time_c.csv b/SurgeData/561-time_c.csv similarity index 100% rename from SurgeData/N=1000/561-time_c.csv rename to SurgeData/561-time_c.csv diff --git a/SurgeData/N=1000/561-time_w.csv b/SurgeData/561-time_w.csv similarity index 100% rename from SurgeData/N=1000/561-time_w.csv rename to SurgeData/561-time_w.csv diff --git a/SurgeData/N=1000/561-waterlevel_c.csv b/SurgeData/561-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/561-waterlevel_c.csv rename to SurgeData/561-waterlevel_c.csv diff --git a/SurgeData/N=1000/561-waterlevel_w.csv b/SurgeData/561-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/561-waterlevel_w.csv rename to SurgeData/561-waterlevel_w.csv diff --git a/SurgeData/562-num_storm.csv b/SurgeData/562-num_storm.csv new file mode 100644 index 00000000..932673d6 --- /dev/null +++ b/SurgeData/562-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,5.0 +2022,0.0,2.0 +2023,1.0,4.0 +2024,2.0,4.0 +2025,2.0,4.0 +2026,1.0,3.0 +2027,0.0,3.0 +2028,2.0,3.0 +2029,4.0,7.0 +2030,1.0,2.0 +2031,3.0,3.0 +2032,0.0,4.0 +2033,2.0,3.0 +2034,0.0,6.0 +2035,1.0,5.0 +2036,2.0,4.0 +2037,0.0,5.0 +2038,3.0,4.0 +2039,4.0,6.0 +2040,4.0,0.0 +2041,2.0,4.0 +2042,1.0,4.0 +2043,1.0,1.0 +2044,0.0,6.0 +2045,1.0,4.0 +2046,1.0,7.0 +2047,1.0,5.0 +2048,3.0,1.0 +2049,2.0,8.0 +2050,1.0,4.0 +2051,3.0,3.0 +2052,0.0,7.0 +2053,0.0,6.0 +2054,0.0,6.0 +2055,2.0,8.0 +2056,1.0,2.0 +2057,1.0,3.0 +2058,1.0,4.0 +2059,2.0,0.0 +2060,1.0,3.0 +2061,0.0,7.0 +2062,2.0,1.0 +2063,2.0,4.0 +2064,1.0,7.0 +2065,1.0,6.0 +2066,1.0,7.0 +2067,1.0,5.0 +2068,3.0,5.0 +2069,0.0,4.0 +2070,2.0,1.0 +2071,0.0,0.0 +2072,2.0,8.0 +2073,1.0,4.0 +2074,1.0,0.0 +2075,1.0,8.0 +2076,1.0,3.0 +2077,2.0,4.0 +2078,0.0,4.0 +2079,3.0,5.0 +2080,2.0,3.0 +2081,3.0,3.0 +2082,1.0,2.0 +2083,0.0,5.0 +2084,3.0,3.0 +2085,2.0,3.0 +2086,2.0,1.0 +2087,2.0,2.0 +2088,2.0,4.0 +2089,2.0,3.0 +2090,3.0,2.0 +2091,4.0,4.0 +2092,3.0,4.0 +2093,0.0,2.0 +2094,4.0,1.0 +2095,0.0,4.0 +2096,0.0,3.0 +2097,3.0,2.0 +2098,1.0,3.0 +2099,0.0,7.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/562-peak+year_c.csv b/SurgeData/562-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/562-peak+year_c.csv rename to SurgeData/562-peak+year_c.csv diff --git a/SurgeData/N=1000/562-peak+year_w.csv b/SurgeData/562-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/562-peak+year_w.csv rename to SurgeData/562-peak+year_w.csv diff --git a/SurgeData/N=1000/562-peak_c.csv b/SurgeData/562-peak_c.csv similarity index 100% rename from SurgeData/N=1000/562-peak_c.csv rename to SurgeData/562-peak_c.csv diff --git a/SurgeData/N=1000/562-peak_w.csv b/SurgeData/562-peak_w.csv similarity index 100% rename from SurgeData/N=1000/562-peak_w.csv rename to SurgeData/562-peak_w.csv diff --git a/SurgeData/N=1000/562-surge_c.csv b/SurgeData/562-surge_c.csv similarity index 100% rename from SurgeData/N=1000/562-surge_c.csv rename to SurgeData/562-surge_c.csv diff --git a/SurgeData/N=1000/562-surge_w.csv b/SurgeData/562-surge_w.csv similarity index 100% rename from SurgeData/N=1000/562-surge_w.csv rename to SurgeData/562-surge_w.csv diff --git a/SurgeData/N=1000/562-time_c.csv b/SurgeData/562-time_c.csv similarity index 100% rename from SurgeData/N=1000/562-time_c.csv rename to SurgeData/562-time_c.csv diff --git a/SurgeData/N=1000/562-time_w.csv b/SurgeData/562-time_w.csv similarity index 100% rename from SurgeData/N=1000/562-time_w.csv rename to SurgeData/562-time_w.csv diff --git a/SurgeData/N=1000/562-waterlevel_c.csv b/SurgeData/562-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/562-waterlevel_c.csv rename to SurgeData/562-waterlevel_c.csv diff --git a/SurgeData/N=1000/562-waterlevel_w.csv b/SurgeData/562-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/562-waterlevel_w.csv rename to SurgeData/562-waterlevel_w.csv diff --git a/SurgeData/N=1000/563-peak+year_c.csv b/SurgeData/563-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/563-peak+year_c.csv rename to SurgeData/563-peak+year_c.csv diff --git a/SurgeData/N=1000/563-peak+year_w.csv b/SurgeData/563-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/563-peak+year_w.csv rename to SurgeData/563-peak+year_w.csv diff --git a/SurgeData/N=1000/563-peak_c.csv b/SurgeData/563-peak_c.csv similarity index 100% rename from SurgeData/N=1000/563-peak_c.csv rename to SurgeData/563-peak_c.csv diff --git a/SurgeData/N=1000/563-peak_w.csv b/SurgeData/563-peak_w.csv similarity index 100% rename from SurgeData/N=1000/563-peak_w.csv rename to SurgeData/563-peak_w.csv diff --git a/SurgeData/N=1000/563-surge_c.csv b/SurgeData/563-surge_c.csv similarity index 100% rename from SurgeData/N=1000/563-surge_c.csv rename to SurgeData/563-surge_c.csv diff --git a/SurgeData/N=1000/563-surge_w.csv b/SurgeData/563-surge_w.csv similarity index 100% rename from SurgeData/N=1000/563-surge_w.csv rename to SurgeData/563-surge_w.csv diff --git a/SurgeData/N=1000/563-time_c.csv b/SurgeData/563-time_c.csv similarity index 100% rename from SurgeData/N=1000/563-time_c.csv rename to SurgeData/563-time_c.csv diff --git a/SurgeData/N=1000/563-time_w.csv b/SurgeData/563-time_w.csv similarity index 100% rename from SurgeData/N=1000/563-time_w.csv rename to SurgeData/563-time_w.csv diff --git a/SurgeData/N=1000/563-waterlevel_c.csv b/SurgeData/563-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/563-waterlevel_c.csv rename to SurgeData/563-waterlevel_c.csv diff --git a/SurgeData/N=1000/563-waterlevel_w.csv b/SurgeData/563-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/563-waterlevel_w.csv rename to SurgeData/563-waterlevel_w.csv diff --git a/SurgeData/564-num_storm.csv b/SurgeData/564-num_storm.csv new file mode 100644 index 00000000..698c3ddd --- /dev/null +++ b/SurgeData/564-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,10.0 +2022,1.0,6.0 +2023,2.0,5.0 +2024,2.0,4.0 +2025,0.0,4.0 +2026,3.0,4.0 +2027,2.0,1.0 +2028,2.0,6.0 +2029,4.0,4.0 +2030,2.0,2.0 +2031,1.0,0.0 +2032,0.0,6.0 +2033,1.0,7.0 +2034,2.0,2.0 +2035,3.0,4.0 +2036,2.0,4.0 +2037,0.0,4.0 +2038,2.0,7.0 +2039,2.0,6.0 +2040,1.0,2.0 +2041,4.0,6.0 +2042,0.0,3.0 +2043,3.0,6.0 +2044,2.0,5.0 +2045,2.0,2.0 +2046,1.0,2.0 +2047,1.0,1.0 +2048,0.0,2.0 +2049,0.0,2.0 +2050,1.0,6.0 +2051,0.0,1.0 +2052,1.0,10.0 +2053,0.0,2.0 +2054,2.0,5.0 +2055,1.0,1.0 +2056,4.0,3.0 +2057,1.0,7.0 +2058,1.0,3.0 +2059,3.0,6.0 +2060,2.0,7.0 +2061,1.0,3.0 +2062,0.0,5.0 +2063,4.0,0.0 +2064,1.0,7.0 +2065,0.0,3.0 +2066,1.0,5.0 +2067,4.0,3.0 +2068,2.0,2.0 +2069,4.0,2.0 +2070,2.0,2.0 +2071,3.0,5.0 +2072,0.0,2.0 +2073,1.0,4.0 +2074,0.0,2.0 +2075,2.0,8.0 +2076,1.0,5.0 +2077,1.0,6.0 +2078,2.0,3.0 +2079,2.0,8.0 +2080,5.0,4.0 +2081,2.0,2.0 +2082,0.0,1.0 +2083,2.0,6.0 +2084,1.0,2.0 +2085,4.0,9.0 +2086,2.0,5.0 +2087,2.0,5.0 +2088,1.0,3.0 +2089,0.0,6.0 +2090,2.0,4.0 +2091,7.0,2.0 +2092,1.0,5.0 +2093,2.0,7.0 +2094,4.0,7.0 +2095,1.0,4.0 +2096,3.0,2.0 +2097,3.0,4.0 +2098,1.0,4.0 +2099,4.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/564-peak+year_c.csv b/SurgeData/564-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/564-peak+year_c.csv rename to SurgeData/564-peak+year_c.csv diff --git a/SurgeData/N=1000/564-peak+year_w.csv b/SurgeData/564-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/564-peak+year_w.csv rename to SurgeData/564-peak+year_w.csv diff --git a/SurgeData/N=1000/564-peak_c.csv b/SurgeData/564-peak_c.csv similarity index 100% rename from SurgeData/N=1000/564-peak_c.csv rename to SurgeData/564-peak_c.csv diff --git a/SurgeData/N=1000/564-peak_w.csv b/SurgeData/564-peak_w.csv similarity index 100% rename from SurgeData/N=1000/564-peak_w.csv rename to SurgeData/564-peak_w.csv diff --git a/SurgeData/N=1000/564-surge_c.csv b/SurgeData/564-surge_c.csv similarity index 100% rename from SurgeData/N=1000/564-surge_c.csv rename to SurgeData/564-surge_c.csv diff --git a/SurgeData/N=1000/564-surge_w.csv b/SurgeData/564-surge_w.csv similarity index 100% rename from SurgeData/N=1000/564-surge_w.csv rename to SurgeData/564-surge_w.csv diff --git a/SurgeData/N=1000/564-time_c.csv b/SurgeData/564-time_c.csv similarity index 100% rename from SurgeData/N=1000/564-time_c.csv rename to SurgeData/564-time_c.csv diff --git a/SurgeData/N=1000/564-time_w.csv b/SurgeData/564-time_w.csv similarity index 100% rename from SurgeData/N=1000/564-time_w.csv rename to SurgeData/564-time_w.csv diff --git a/SurgeData/N=1000/564-waterlevel_c.csv b/SurgeData/564-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/564-waterlevel_c.csv rename to SurgeData/564-waterlevel_c.csv diff --git a/SurgeData/N=1000/564-waterlevel_w.csv b/SurgeData/564-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/564-waterlevel_w.csv rename to SurgeData/564-waterlevel_w.csv diff --git a/SurgeData/565-num_storm.csv b/SurgeData/565-num_storm.csv new file mode 100644 index 00000000..a0faad65 --- /dev/null +++ b/SurgeData/565-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,1.0,4.0 +2022,1.0,2.0 +2023,2.0,6.0 +2024,2.0,5.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,2.0,8.0 +2028,1.0,3.0 +2029,2.0,7.0 +2030,2.0,5.0 +2031,2.0,3.0 +2032,1.0,1.0 +2033,2.0,6.0 +2034,3.0,3.0 +2035,3.0,4.0 +2036,2.0,7.0 +2037,1.0,10.0 +2038,1.0,7.0 +2039,0.0,5.0 +2040,0.0,4.0 +2041,3.0,3.0 +2042,2.0,7.0 +2043,3.0,6.0 +2044,0.0,4.0 +2045,2.0,2.0 +2046,4.0,4.0 +2047,4.0,3.0 +2048,2.0,5.0 +2049,3.0,6.0 +2050,1.0,5.0 +2051,1.0,4.0 +2052,2.0,2.0 +2053,0.0,5.0 +2054,0.0,5.0 +2055,1.0,9.0 +2056,4.0,3.0 +2057,1.0,6.0 +2058,2.0,2.0 +2059,2.0,1.0 +2060,2.0,3.0 +2061,0.0,1.0 +2062,2.0,4.0 +2063,1.0,9.0 +2064,1.0,4.0 +2065,2.0,3.0 +2066,2.0,6.0 +2067,2.0,7.0 +2068,4.0,2.0 +2069,2.0,4.0 +2070,0.0,2.0 +2071,1.0,2.0 +2072,2.0,2.0 +2073,0.0,2.0 +2074,0.0,4.0 +2075,2.0,7.0 +2076,0.0,3.0 +2077,3.0,4.0 +2078,0.0,7.0 +2079,2.0,6.0 +2080,0.0,8.0 +2081,2.0,7.0 +2082,0.0,6.0 +2083,0.0,3.0 +2084,1.0,7.0 +2085,0.0,2.0 +2086,2.0,9.0 +2087,1.0,3.0 +2088,1.0,5.0 +2089,1.0,2.0 +2090,0.0,5.0 +2091,2.0,2.0 +2092,3.0,4.0 +2093,2.0,5.0 +2094,1.0,5.0 +2095,2.0,6.0 +2096,0.0,6.0 +2097,0.0,5.0 +2098,2.0,7.0 +2099,1.0,7.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/565-peak+year_c.csv b/SurgeData/565-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/565-peak+year_c.csv rename to SurgeData/565-peak+year_c.csv diff --git a/SurgeData/N=1000/565-peak+year_w.csv b/SurgeData/565-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/565-peak+year_w.csv rename to SurgeData/565-peak+year_w.csv diff --git a/SurgeData/N=1000/565-peak_c.csv b/SurgeData/565-peak_c.csv similarity index 100% rename from SurgeData/N=1000/565-peak_c.csv rename to SurgeData/565-peak_c.csv diff --git a/SurgeData/N=1000/565-peak_w.csv b/SurgeData/565-peak_w.csv similarity index 100% rename from SurgeData/N=1000/565-peak_w.csv rename to SurgeData/565-peak_w.csv diff --git a/SurgeData/N=1000/565-surge_c.csv b/SurgeData/565-surge_c.csv similarity index 100% rename from SurgeData/N=1000/565-surge_c.csv rename to SurgeData/565-surge_c.csv diff --git a/SurgeData/N=1000/565-surge_w.csv b/SurgeData/565-surge_w.csv similarity index 100% rename from SurgeData/N=1000/565-surge_w.csv rename to SurgeData/565-surge_w.csv diff --git a/SurgeData/N=1000/565-time_c.csv b/SurgeData/565-time_c.csv similarity index 100% rename from SurgeData/N=1000/565-time_c.csv rename to SurgeData/565-time_c.csv diff --git a/SurgeData/N=1000/565-time_w.csv b/SurgeData/565-time_w.csv similarity index 100% rename from SurgeData/N=1000/565-time_w.csv rename to SurgeData/565-time_w.csv diff --git a/SurgeData/N=1000/565-waterlevel_c.csv b/SurgeData/565-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/565-waterlevel_c.csv rename to SurgeData/565-waterlevel_c.csv diff --git a/SurgeData/N=1000/565-waterlevel_w.csv b/SurgeData/565-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/565-waterlevel_w.csv rename to SurgeData/565-waterlevel_w.csv diff --git a/SurgeData/566-num_storm.csv b/SurgeData/566-num_storm.csv new file mode 100644 index 00000000..acaa92ca --- /dev/null +++ b/SurgeData/566-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,3.0 +2022,3.0,5.0 +2023,1.0,6.0 +2024,1.0,6.0 +2025,3.0,5.0 +2026,0.0,7.0 +2027,1.0,6.0 +2028,3.0,4.0 +2029,0.0,4.0 +2030,3.0,3.0 +2031,3.0,7.0 +2032,2.0,3.0 +2033,0.0,4.0 +2034,3.0,6.0 +2035,1.0,8.0 +2036,2.0,6.0 +2037,6.0,2.0 +2038,3.0,1.0 +2039,1.0,6.0 +2040,0.0,6.0 +2041,1.0,3.0 +2042,2.0,4.0 +2043,3.0,4.0 +2044,0.0,5.0 +2045,2.0,2.0 +2046,1.0,4.0 +2047,0.0,5.0 +2048,3.0,2.0 +2049,1.0,3.0 +2050,3.0,4.0 +2051,2.0,4.0 +2052,2.0,3.0 +2053,0.0,5.0 +2054,3.0,5.0 +2055,1.0,2.0 +2056,2.0,3.0 +2057,0.0,4.0 +2058,1.0,4.0 +2059,1.0,3.0 +2060,3.0,5.0 +2061,0.0,2.0 +2062,2.0,2.0 +2063,0.0,4.0 +2064,3.0,1.0 +2065,1.0,3.0 +2066,0.0,6.0 +2067,2.0,5.0 +2068,1.0,3.0 +2069,1.0,8.0 +2070,1.0,6.0 +2071,4.0,4.0 +2072,3.0,5.0 +2073,1.0,6.0 +2074,1.0,3.0 +2075,2.0,2.0 +2076,1.0,4.0 +2077,3.0,2.0 +2078,4.0,5.0 +2079,0.0,5.0 +2080,3.0,5.0 +2081,2.0,3.0 +2082,3.0,3.0 +2083,2.0,5.0 +2084,1.0,4.0 +2085,4.0,7.0 +2086,1.0,8.0 +2087,0.0,5.0 +2088,0.0,2.0 +2089,0.0,4.0 +2090,3.0,5.0 +2091,2.0,6.0 +2092,1.0,4.0 +2093,0.0,6.0 +2094,1.0,6.0 +2095,2.0,4.0 +2096,2.0,8.0 +2097,2.0,11.0 +2098,3.0,2.0 +2099,0.0,7.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/566-peak+year_c.csv b/SurgeData/566-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/566-peak+year_c.csv rename to SurgeData/566-peak+year_c.csv diff --git a/SurgeData/N=1000/566-peak+year_w.csv b/SurgeData/566-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/566-peak+year_w.csv rename to SurgeData/566-peak+year_w.csv diff --git a/SurgeData/N=1000/566-peak_c.csv b/SurgeData/566-peak_c.csv similarity index 100% rename from SurgeData/N=1000/566-peak_c.csv rename to SurgeData/566-peak_c.csv diff --git a/SurgeData/N=1000/566-peak_w.csv b/SurgeData/566-peak_w.csv similarity index 100% rename from SurgeData/N=1000/566-peak_w.csv rename to SurgeData/566-peak_w.csv diff --git a/SurgeData/N=1000/566-surge_c.csv b/SurgeData/566-surge_c.csv similarity index 100% rename from SurgeData/N=1000/566-surge_c.csv rename to SurgeData/566-surge_c.csv diff --git a/SurgeData/N=1000/566-surge_w.csv b/SurgeData/566-surge_w.csv similarity index 100% rename from SurgeData/N=1000/566-surge_w.csv rename to SurgeData/566-surge_w.csv diff --git a/SurgeData/N=1000/566-time_c.csv b/SurgeData/566-time_c.csv similarity index 100% rename from SurgeData/N=1000/566-time_c.csv rename to SurgeData/566-time_c.csv diff --git a/SurgeData/N=1000/566-time_w.csv b/SurgeData/566-time_w.csv similarity index 100% rename from SurgeData/N=1000/566-time_w.csv rename to SurgeData/566-time_w.csv diff --git a/SurgeData/N=1000/566-waterlevel_c.csv b/SurgeData/566-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/566-waterlevel_c.csv rename to SurgeData/566-waterlevel_c.csv diff --git a/SurgeData/N=1000/566-waterlevel_w.csv b/SurgeData/566-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/566-waterlevel_w.csv rename to SurgeData/566-waterlevel_w.csv diff --git a/SurgeData/567-num_storm.csv b/SurgeData/567-num_storm.csv new file mode 100644 index 00000000..47151d1e --- /dev/null +++ b/SurgeData/567-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,0.0 +2022,1.0,4.0 +2023,1.0,5.0 +2024,1.0,1.0 +2025,1.0,2.0 +2026,1.0,4.0 +2027,3.0,5.0 +2028,1.0,6.0 +2029,4.0,4.0 +2030,3.0,4.0 +2031,0.0,5.0 +2032,1.0,6.0 +2033,0.0,4.0 +2034,1.0,6.0 +2035,1.0,6.0 +2036,0.0,6.0 +2037,2.0,4.0 +2038,1.0,1.0 +2039,3.0,7.0 +2040,2.0,5.0 +2041,3.0,2.0 +2042,0.0,4.0 +2043,1.0,2.0 +2044,1.0,6.0 +2045,0.0,3.0 +2046,1.0,8.0 +2047,2.0,3.0 +2048,3.0,3.0 +2049,1.0,2.0 +2050,2.0,3.0 +2051,1.0,2.0 +2052,1.0,2.0 +2053,1.0,3.0 +2054,2.0,5.0 +2055,1.0,6.0 +2056,4.0,8.0 +2057,4.0,3.0 +2058,1.0,3.0 +2059,1.0,4.0 +2060,3.0,4.0 +2061,3.0,2.0 +2062,2.0,3.0 +2063,2.0,3.0 +2064,1.0,4.0 +2065,1.0,2.0 +2066,2.0,4.0 +2067,0.0,1.0 +2068,0.0,4.0 +2069,1.0,4.0 +2070,0.0,2.0 +2071,3.0,2.0 +2072,1.0,2.0 +2073,0.0,3.0 +2074,0.0,3.0 +2075,2.0,2.0 +2076,1.0,2.0 +2077,0.0,0.0 +2078,1.0,1.0 +2079,1.0,4.0 +2080,2.0,3.0 +2081,0.0,6.0 +2082,0.0,1.0 +2083,2.0,4.0 +2084,2.0,2.0 +2085,7.0,2.0 +2086,2.0,5.0 +2087,0.0,4.0 +2088,1.0,5.0 +2089,2.0,0.0 +2090,2.0,5.0 +2091,0.0,9.0 +2092,3.0,9.0 +2093,4.0,1.0 +2094,1.0,3.0 +2095,0.0,3.0 +2096,3.0,6.0 +2097,3.0,3.0 +2098,1.0,2.0 +2099,1.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/567-peak+year_c.csv b/SurgeData/567-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/567-peak+year_c.csv rename to SurgeData/567-peak+year_c.csv diff --git a/SurgeData/N=1000/567-peak+year_w.csv b/SurgeData/567-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/567-peak+year_w.csv rename to SurgeData/567-peak+year_w.csv diff --git a/SurgeData/N=1000/567-peak_c.csv b/SurgeData/567-peak_c.csv similarity index 100% rename from SurgeData/N=1000/567-peak_c.csv rename to SurgeData/567-peak_c.csv diff --git a/SurgeData/N=1000/567-peak_w.csv b/SurgeData/567-peak_w.csv similarity index 100% rename from SurgeData/N=1000/567-peak_w.csv rename to SurgeData/567-peak_w.csv diff --git a/SurgeData/N=1000/567-surge_c.csv b/SurgeData/567-surge_c.csv similarity index 100% rename from SurgeData/N=1000/567-surge_c.csv rename to SurgeData/567-surge_c.csv diff --git a/SurgeData/N=1000/567-surge_w.csv b/SurgeData/567-surge_w.csv similarity index 100% rename from SurgeData/N=1000/567-surge_w.csv rename to SurgeData/567-surge_w.csv diff --git a/SurgeData/N=1000/567-time_c.csv b/SurgeData/567-time_c.csv similarity index 100% rename from SurgeData/N=1000/567-time_c.csv rename to SurgeData/567-time_c.csv diff --git a/SurgeData/N=1000/567-time_w.csv b/SurgeData/567-time_w.csv similarity index 100% rename from SurgeData/N=1000/567-time_w.csv rename to SurgeData/567-time_w.csv diff --git a/SurgeData/N=1000/567-waterlevel_c.csv b/SurgeData/567-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/567-waterlevel_c.csv rename to SurgeData/567-waterlevel_c.csv diff --git a/SurgeData/N=1000/567-waterlevel_w.csv b/SurgeData/567-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/567-waterlevel_w.csv rename to SurgeData/567-waterlevel_w.csv diff --git a/SurgeData/N=1000/568-peak+year_c.csv b/SurgeData/568-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/568-peak+year_c.csv rename to SurgeData/568-peak+year_c.csv diff --git a/SurgeData/N=1000/568-peak+year_w.csv b/SurgeData/568-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/568-peak+year_w.csv rename to SurgeData/568-peak+year_w.csv diff --git a/SurgeData/N=1000/568-peak_c.csv b/SurgeData/568-peak_c.csv similarity index 100% rename from SurgeData/N=1000/568-peak_c.csv rename to SurgeData/568-peak_c.csv diff --git a/SurgeData/N=1000/568-peak_w.csv b/SurgeData/568-peak_w.csv similarity index 100% rename from SurgeData/N=1000/568-peak_w.csv rename to SurgeData/568-peak_w.csv diff --git a/SurgeData/N=1000/568-surge_c.csv b/SurgeData/568-surge_c.csv similarity index 100% rename from SurgeData/N=1000/568-surge_c.csv rename to SurgeData/568-surge_c.csv diff --git a/SurgeData/N=1000/568-surge_w.csv b/SurgeData/568-surge_w.csv similarity index 100% rename from SurgeData/N=1000/568-surge_w.csv rename to SurgeData/568-surge_w.csv diff --git a/SurgeData/N=1000/568-time_c.csv b/SurgeData/568-time_c.csv similarity index 100% rename from SurgeData/N=1000/568-time_c.csv rename to SurgeData/568-time_c.csv diff --git a/SurgeData/N=1000/568-time_w.csv b/SurgeData/568-time_w.csv similarity index 100% rename from SurgeData/N=1000/568-time_w.csv rename to SurgeData/568-time_w.csv diff --git a/SurgeData/N=1000/568-waterlevel_c.csv b/SurgeData/568-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/568-waterlevel_c.csv rename to SurgeData/568-waterlevel_c.csv diff --git a/SurgeData/N=1000/568-waterlevel_w.csv b/SurgeData/568-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/568-waterlevel_w.csv rename to SurgeData/568-waterlevel_w.csv diff --git a/SurgeData/N=1000/569-peak+year_c.csv b/SurgeData/569-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/569-peak+year_c.csv rename to SurgeData/569-peak+year_c.csv diff --git a/SurgeData/N=1000/569-peak+year_w.csv b/SurgeData/569-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/569-peak+year_w.csv rename to SurgeData/569-peak+year_w.csv diff --git a/SurgeData/N=1000/569-peak_c.csv b/SurgeData/569-peak_c.csv similarity index 100% rename from SurgeData/N=1000/569-peak_c.csv rename to SurgeData/569-peak_c.csv diff --git a/SurgeData/N=1000/569-peak_w.csv b/SurgeData/569-peak_w.csv similarity index 100% rename from SurgeData/N=1000/569-peak_w.csv rename to SurgeData/569-peak_w.csv diff --git a/SurgeData/N=1000/569-surge_c.csv b/SurgeData/569-surge_c.csv similarity index 100% rename from SurgeData/N=1000/569-surge_c.csv rename to SurgeData/569-surge_c.csv diff --git a/SurgeData/N=1000/569-surge_w.csv b/SurgeData/569-surge_w.csv similarity index 100% rename from SurgeData/N=1000/569-surge_w.csv rename to SurgeData/569-surge_w.csv diff --git a/SurgeData/N=1000/569-time_c.csv b/SurgeData/569-time_c.csv similarity index 100% rename from SurgeData/N=1000/569-time_c.csv rename to SurgeData/569-time_c.csv diff --git a/SurgeData/N=1000/569-time_w.csv b/SurgeData/569-time_w.csv similarity index 100% rename from SurgeData/N=1000/569-time_w.csv rename to SurgeData/569-time_w.csv diff --git a/SurgeData/N=1000/569-waterlevel_c.csv b/SurgeData/569-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/569-waterlevel_c.csv rename to SurgeData/569-waterlevel_c.csv diff --git a/SurgeData/N=1000/569-waterlevel_w.csv b/SurgeData/569-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/569-waterlevel_w.csv rename to SurgeData/569-waterlevel_w.csv diff --git a/SurgeData/N=1000/57-peak+year_c.csv b/SurgeData/57-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/57-peak+year_c.csv rename to SurgeData/57-peak+year_c.csv diff --git a/SurgeData/N=1000/57-peak+year_w.csv b/SurgeData/57-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/57-peak+year_w.csv rename to SurgeData/57-peak+year_w.csv diff --git a/SurgeData/N=1000/57-peak_c.csv b/SurgeData/57-peak_c.csv similarity index 100% rename from SurgeData/N=1000/57-peak_c.csv rename to SurgeData/57-peak_c.csv diff --git a/SurgeData/N=1000/57-peak_w.csv b/SurgeData/57-peak_w.csv similarity index 100% rename from SurgeData/N=1000/57-peak_w.csv rename to SurgeData/57-peak_w.csv diff --git a/SurgeData/N=1000/57-surge_c.csv b/SurgeData/57-surge_c.csv similarity index 100% rename from SurgeData/N=1000/57-surge_c.csv rename to SurgeData/57-surge_c.csv diff --git a/SurgeData/N=1000/57-surge_w.csv b/SurgeData/57-surge_w.csv similarity index 100% rename from SurgeData/N=1000/57-surge_w.csv rename to SurgeData/57-surge_w.csv diff --git a/SurgeData/N=1000/57-time_c.csv b/SurgeData/57-time_c.csv similarity index 100% rename from SurgeData/N=1000/57-time_c.csv rename to SurgeData/57-time_c.csv diff --git a/SurgeData/N=1000/57-time_w.csv b/SurgeData/57-time_w.csv similarity index 100% rename from SurgeData/N=1000/57-time_w.csv rename to SurgeData/57-time_w.csv diff --git a/SurgeData/N=1000/57-waterlevel_c.csv b/SurgeData/57-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/57-waterlevel_c.csv rename to SurgeData/57-waterlevel_c.csv diff --git a/SurgeData/N=1000/57-waterlevel_w.csv b/SurgeData/57-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/57-waterlevel_w.csv rename to SurgeData/57-waterlevel_w.csv diff --git a/SurgeData/570-num_storm.csv b/SurgeData/570-num_storm.csv new file mode 100644 index 00000000..b0c4fe02 --- /dev/null +++ b/SurgeData/570-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,1.0 +2022,2.0,6.0 +2023,1.0,3.0 +2024,0.0,3.0 +2025,1.0,3.0 +2026,1.0,1.0 +2027,1.0,5.0 +2028,3.0,4.0 +2029,0.0,6.0 +2030,2.0,1.0 +2031,1.0,3.0 +2032,1.0,6.0 +2033,1.0,3.0 +2034,1.0,3.0 +2035,2.0,2.0 +2036,4.0,2.0 +2037,2.0,4.0 +2038,1.0,6.0 +2039,1.0,5.0 +2040,1.0,7.0 +2041,1.0,6.0 +2042,0.0,3.0 +2043,0.0,1.0 +2044,2.0,6.0 +2045,1.0,3.0 +2046,0.0,5.0 +2047,3.0,1.0 +2048,0.0,3.0 +2049,2.0,3.0 +2050,1.0,2.0 +2051,1.0,5.0 +2052,2.0,5.0 +2053,1.0,4.0 +2054,0.0,3.0 +2055,1.0,2.0 +2056,3.0,2.0 +2057,4.0,2.0 +2058,1.0,12.0 +2059,0.0,5.0 +2060,0.0,3.0 +2061,3.0,4.0 +2062,2.0,4.0 +2063,0.0,4.0 +2064,1.0,3.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,3.0,7.0 +2068,4.0,4.0 +2069,3.0,6.0 +2070,0.0,9.0 +2071,0.0,3.0 +2072,2.0,7.0 +2073,0.0,2.0 +2074,2.0,1.0 +2075,1.0,2.0 +2076,2.0,5.0 +2077,0.0,5.0 +2078,3.0,3.0 +2079,5.0,7.0 +2080,3.0,6.0 +2081,2.0,3.0 +2082,0.0,8.0 +2083,2.0,5.0 +2084,1.0,5.0 +2085,0.0,9.0 +2086,3.0,1.0 +2087,1.0,2.0 +2088,1.0,5.0 +2089,2.0,2.0 +2090,2.0,1.0 +2091,0.0,4.0 +2092,4.0,2.0 +2093,2.0,3.0 +2094,1.0,7.0 +2095,0.0,6.0 +2096,1.0,3.0 +2097,0.0,9.0 +2098,3.0,3.0 +2099,0.0,6.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/570-peak+year_c.csv b/SurgeData/570-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/570-peak+year_c.csv rename to SurgeData/570-peak+year_c.csv diff --git a/SurgeData/N=1000/570-peak+year_w.csv b/SurgeData/570-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/570-peak+year_w.csv rename to SurgeData/570-peak+year_w.csv diff --git a/SurgeData/N=1000/570-peak_c.csv b/SurgeData/570-peak_c.csv similarity index 100% rename from SurgeData/N=1000/570-peak_c.csv rename to SurgeData/570-peak_c.csv diff --git a/SurgeData/N=1000/570-peak_w.csv b/SurgeData/570-peak_w.csv similarity index 100% rename from SurgeData/N=1000/570-peak_w.csv rename to SurgeData/570-peak_w.csv diff --git a/SurgeData/N=1000/570-surge_c.csv b/SurgeData/570-surge_c.csv similarity index 100% rename from SurgeData/N=1000/570-surge_c.csv rename to SurgeData/570-surge_c.csv diff --git a/SurgeData/N=1000/570-surge_w.csv b/SurgeData/570-surge_w.csv similarity index 100% rename from SurgeData/N=1000/570-surge_w.csv rename to SurgeData/570-surge_w.csv diff --git a/SurgeData/N=1000/570-time_c.csv b/SurgeData/570-time_c.csv similarity index 100% rename from SurgeData/N=1000/570-time_c.csv rename to SurgeData/570-time_c.csv diff --git a/SurgeData/N=1000/570-time_w.csv b/SurgeData/570-time_w.csv similarity index 100% rename from SurgeData/N=1000/570-time_w.csv rename to SurgeData/570-time_w.csv diff --git a/SurgeData/N=1000/570-waterlevel_c.csv b/SurgeData/570-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/570-waterlevel_c.csv rename to SurgeData/570-waterlevel_c.csv diff --git a/SurgeData/N=1000/570-waterlevel_w.csv b/SurgeData/570-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/570-waterlevel_w.csv rename to SurgeData/570-waterlevel_w.csv diff --git a/SurgeData/571-num_storm.csv b/SurgeData/571-num_storm.csv new file mode 100644 index 00000000..08cde4ae --- /dev/null +++ b/SurgeData/571-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,2.0,3.0 +2022,0.0,3.0 +2023,3.0,3.0 +2024,2.0,8.0 +2025,1.0,4.0 +2026,2.0,5.0 +2027,1.0,7.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,0.0,2.0 +2031,1.0,4.0 +2032,5.0,8.0 +2033,1.0,2.0 +2034,1.0,3.0 +2035,1.0,5.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,0.0,4.0 +2039,2.0,9.0 +2040,2.0,2.0 +2041,1.0,7.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,0.0,5.0 +2045,2.0,6.0 +2046,0.0,3.0 +2047,2.0,2.0 +2048,2.0,4.0 +2049,0.0,1.0 +2050,1.0,4.0 +2051,0.0,5.0 +2052,2.0,6.0 +2053,1.0,1.0 +2054,1.0,5.0 +2055,1.0,2.0 +2056,0.0,3.0 +2057,1.0,2.0 +2058,1.0,3.0 +2059,0.0,2.0 +2060,2.0,4.0 +2061,3.0,4.0 +2062,1.0,4.0 +2063,0.0,1.0 +2064,2.0,5.0 +2065,3.0,5.0 +2066,3.0,7.0 +2067,4.0,5.0 +2068,2.0,4.0 +2069,0.0,3.0 +2070,2.0,4.0 +2071,0.0,2.0 +2072,2.0,2.0 +2073,2.0,5.0 +2074,0.0,4.0 +2075,1.0,3.0 +2076,1.0,4.0 +2077,2.0,2.0 +2078,4.0,6.0 +2079,1.0,3.0 +2080,2.0,6.0 +2081,2.0,3.0 +2082,0.0,2.0 +2083,1.0,2.0 +2084,3.0,3.0 +2085,2.0,3.0 +2086,3.0,1.0 +2087,2.0,4.0 +2088,3.0,3.0 +2089,2.0,6.0 +2090,0.0,5.0 +2091,2.0,6.0 +2092,1.0,3.0 +2093,0.0,4.0 +2094,1.0,2.0 +2095,1.0,2.0 +2096,4.0,0.0 +2097,3.0,5.0 +2098,0.0,8.0 +2099,0.0,4.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/571-peak+year_c.csv b/SurgeData/571-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/571-peak+year_c.csv rename to SurgeData/571-peak+year_c.csv diff --git a/SurgeData/N=1000/571-peak+year_w.csv b/SurgeData/571-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/571-peak+year_w.csv rename to SurgeData/571-peak+year_w.csv diff --git a/SurgeData/N=1000/571-peak_c.csv b/SurgeData/571-peak_c.csv similarity index 100% rename from SurgeData/N=1000/571-peak_c.csv rename to SurgeData/571-peak_c.csv diff --git a/SurgeData/N=1000/571-peak_w.csv b/SurgeData/571-peak_w.csv similarity index 100% rename from SurgeData/N=1000/571-peak_w.csv rename to SurgeData/571-peak_w.csv diff --git a/SurgeData/N=1000/571-surge_c.csv b/SurgeData/571-surge_c.csv similarity index 100% rename from SurgeData/N=1000/571-surge_c.csv rename to SurgeData/571-surge_c.csv diff --git a/SurgeData/N=1000/571-surge_w.csv b/SurgeData/571-surge_w.csv similarity index 100% rename from SurgeData/N=1000/571-surge_w.csv rename to SurgeData/571-surge_w.csv diff --git a/SurgeData/N=1000/571-time_c.csv b/SurgeData/571-time_c.csv similarity index 100% rename from SurgeData/N=1000/571-time_c.csv rename to SurgeData/571-time_c.csv diff --git a/SurgeData/N=1000/571-time_w.csv b/SurgeData/571-time_w.csv similarity index 100% rename from SurgeData/N=1000/571-time_w.csv rename to SurgeData/571-time_w.csv diff --git a/SurgeData/N=1000/571-waterlevel_c.csv b/SurgeData/571-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/571-waterlevel_c.csv rename to SurgeData/571-waterlevel_c.csv diff --git a/SurgeData/N=1000/571-waterlevel_w.csv b/SurgeData/571-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/571-waterlevel_w.csv rename to SurgeData/571-waterlevel_w.csv diff --git a/SurgeData/572-num_storm.csv b/SurgeData/572-num_storm.csv new file mode 100644 index 00000000..e884fef2 --- /dev/null +++ b/SurgeData/572-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,4.0 +2022,1.0,4.0 +2023,1.0,2.0 +2024,4.0,7.0 +2025,1.0,3.0 +2026,2.0,5.0 +2027,1.0,1.0 +2028,1.0,4.0 +2029,1.0,9.0 +2030,2.0,5.0 +2031,0.0,5.0 +2032,2.0,7.0 +2033,0.0,4.0 +2034,1.0,4.0 +2035,2.0,5.0 +2036,3.0,5.0 +2037,1.0,2.0 +2038,1.0,5.0 +2039,1.0,6.0 +2040,3.0,2.0 +2041,1.0,4.0 +2042,1.0,9.0 +2043,2.0,2.0 +2044,1.0,6.0 +2045,3.0,6.0 +2046,1.0,3.0 +2047,2.0,8.0 +2048,1.0,2.0 +2049,1.0,5.0 +2050,0.0,3.0 +2051,2.0,1.0 +2052,1.0,4.0 +2053,3.0,8.0 +2054,1.0,3.0 +2055,2.0,8.0 +2056,3.0,7.0 +2057,2.0,3.0 +2058,0.0,7.0 +2059,1.0,6.0 +2060,2.0,7.0 +2061,2.0,5.0 +2062,0.0,9.0 +2063,0.0,2.0 +2064,1.0,6.0 +2065,3.0,7.0 +2066,0.0,2.0 +2067,2.0,2.0 +2068,3.0,8.0 +2069,2.0,4.0 +2070,0.0,4.0 +2071,1.0,3.0 +2072,4.0,4.0 +2073,2.0,1.0 +2074,0.0,4.0 +2075,1.0,1.0 +2076,2.0,4.0 +2077,1.0,4.0 +2078,1.0,6.0 +2079,3.0,6.0 +2080,2.0,6.0 +2081,0.0,10.0 +2082,1.0,5.0 +2083,1.0,3.0 +2084,0.0,6.0 +2085,0.0,4.0 +2086,1.0,4.0 +2087,2.0,7.0 +2088,3.0,1.0 +2089,0.0,3.0 +2090,1.0,6.0 +2091,1.0,4.0 +2092,1.0,4.0 +2093,0.0,7.0 +2094,1.0,3.0 +2095,1.0,6.0 +2096,2.0,5.0 +2097,2.0,4.0 +2098,2.0,3.0 +2099,0.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/572-peak+year_c.csv b/SurgeData/572-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/572-peak+year_c.csv rename to SurgeData/572-peak+year_c.csv diff --git a/SurgeData/N=1000/572-peak+year_w.csv b/SurgeData/572-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/572-peak+year_w.csv rename to SurgeData/572-peak+year_w.csv diff --git a/SurgeData/N=1000/572-peak_c.csv b/SurgeData/572-peak_c.csv similarity index 100% rename from SurgeData/N=1000/572-peak_c.csv rename to SurgeData/572-peak_c.csv diff --git a/SurgeData/N=1000/572-peak_w.csv b/SurgeData/572-peak_w.csv similarity index 100% rename from SurgeData/N=1000/572-peak_w.csv rename to SurgeData/572-peak_w.csv diff --git a/SurgeData/N=1000/572-surge_c.csv b/SurgeData/572-surge_c.csv similarity index 100% rename from SurgeData/N=1000/572-surge_c.csv rename to SurgeData/572-surge_c.csv diff --git a/SurgeData/N=1000/572-surge_w.csv b/SurgeData/572-surge_w.csv similarity index 100% rename from SurgeData/N=1000/572-surge_w.csv rename to SurgeData/572-surge_w.csv diff --git a/SurgeData/N=1000/572-time_c.csv b/SurgeData/572-time_c.csv similarity index 100% rename from SurgeData/N=1000/572-time_c.csv rename to SurgeData/572-time_c.csv diff --git a/SurgeData/N=1000/572-time_w.csv b/SurgeData/572-time_w.csv similarity index 100% rename from SurgeData/N=1000/572-time_w.csv rename to SurgeData/572-time_w.csv diff --git a/SurgeData/N=1000/572-waterlevel_c.csv b/SurgeData/572-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/572-waterlevel_c.csv rename to SurgeData/572-waterlevel_c.csv diff --git a/SurgeData/N=1000/572-waterlevel_w.csv b/SurgeData/572-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/572-waterlevel_w.csv rename to SurgeData/572-waterlevel_w.csv diff --git a/SurgeData/573-num_storm.csv b/SurgeData/573-num_storm.csv new file mode 100644 index 00000000..0491ea86 --- /dev/null +++ b/SurgeData/573-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,3.0 +2022,4.0,1.0 +2023,3.0,2.0 +2024,1.0,5.0 +2025,1.0,2.0 +2026,2.0,3.0 +2027,1.0,7.0 +2028,3.0,6.0 +2029,1.0,2.0 +2030,1.0,4.0 +2031,3.0,2.0 +2032,1.0,3.0 +2033,0.0,3.0 +2034,4.0,4.0 +2035,2.0,3.0 +2036,5.0,2.0 +2037,1.0,6.0 +2038,0.0,2.0 +2039,2.0,3.0 +2040,1.0,4.0 +2041,3.0,9.0 +2042,2.0,3.0 +2043,0.0,6.0 +2044,1.0,2.0 +2045,0.0,5.0 +2046,0.0,6.0 +2047,0.0,8.0 +2048,2.0,3.0 +2049,2.0,7.0 +2050,4.0,3.0 +2051,3.0,3.0 +2052,0.0,4.0 +2053,2.0,7.0 +2054,3.0,1.0 +2055,0.0,10.0 +2056,2.0,2.0 +2057,4.0,2.0 +2058,0.0,5.0 +2059,0.0,7.0 +2060,0.0,1.0 +2061,4.0,5.0 +2062,1.0,1.0 +2063,0.0,6.0 +2064,1.0,1.0 +2065,0.0,6.0 +2066,0.0,5.0 +2067,1.0,6.0 +2068,0.0,2.0 +2069,3.0,4.0 +2070,3.0,6.0 +2071,1.0,0.0 +2072,2.0,8.0 +2073,2.0,4.0 +2074,1.0,1.0 +2075,1.0,3.0 +2076,1.0,7.0 +2077,3.0,4.0 +2078,2.0,1.0 +2079,0.0,2.0 +2080,2.0,3.0 +2081,2.0,3.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,1.0,3.0 +2085,3.0,2.0 +2086,3.0,6.0 +2087,0.0,5.0 +2088,2.0,2.0 +2089,1.0,1.0 +2090,1.0,2.0 +2091,0.0,4.0 +2092,3.0,2.0 +2093,1.0,5.0 +2094,1.0,2.0 +2095,3.0,3.0 +2096,0.0,4.0 +2097,2.0,3.0 +2098,2.0,9.0 +2099,3.0,2.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/573-peak+year_c.csv b/SurgeData/573-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/573-peak+year_c.csv rename to SurgeData/573-peak+year_c.csv diff --git a/SurgeData/N=1000/573-peak+year_w.csv b/SurgeData/573-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/573-peak+year_w.csv rename to SurgeData/573-peak+year_w.csv diff --git a/SurgeData/N=1000/573-peak_c.csv b/SurgeData/573-peak_c.csv similarity index 100% rename from SurgeData/N=1000/573-peak_c.csv rename to SurgeData/573-peak_c.csv diff --git a/SurgeData/N=1000/573-peak_w.csv b/SurgeData/573-peak_w.csv similarity index 100% rename from SurgeData/N=1000/573-peak_w.csv rename to SurgeData/573-peak_w.csv diff --git a/SurgeData/N=1000/573-surge_c.csv b/SurgeData/573-surge_c.csv similarity index 100% rename from SurgeData/N=1000/573-surge_c.csv rename to SurgeData/573-surge_c.csv diff --git a/SurgeData/N=1000/573-surge_w.csv b/SurgeData/573-surge_w.csv similarity index 100% rename from SurgeData/N=1000/573-surge_w.csv rename to SurgeData/573-surge_w.csv diff --git a/SurgeData/N=1000/573-time_c.csv b/SurgeData/573-time_c.csv similarity index 100% rename from SurgeData/N=1000/573-time_c.csv rename to SurgeData/573-time_c.csv diff --git a/SurgeData/N=1000/573-time_w.csv b/SurgeData/573-time_w.csv similarity index 100% rename from SurgeData/N=1000/573-time_w.csv rename to SurgeData/573-time_w.csv diff --git a/SurgeData/N=1000/573-waterlevel_c.csv b/SurgeData/573-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/573-waterlevel_c.csv rename to SurgeData/573-waterlevel_c.csv diff --git a/SurgeData/N=1000/573-waterlevel_w.csv b/SurgeData/573-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/573-waterlevel_w.csv rename to SurgeData/573-waterlevel_w.csv diff --git a/SurgeData/N=1000/574-peak+year_c.csv b/SurgeData/574-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/574-peak+year_c.csv rename to SurgeData/574-peak+year_c.csv diff --git a/SurgeData/N=1000/574-peak+year_w.csv b/SurgeData/574-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/574-peak+year_w.csv rename to SurgeData/574-peak+year_w.csv diff --git a/SurgeData/N=1000/574-peak_c.csv b/SurgeData/574-peak_c.csv similarity index 100% rename from SurgeData/N=1000/574-peak_c.csv rename to SurgeData/574-peak_c.csv diff --git a/SurgeData/N=1000/574-peak_w.csv b/SurgeData/574-peak_w.csv similarity index 100% rename from SurgeData/N=1000/574-peak_w.csv rename to SurgeData/574-peak_w.csv diff --git a/SurgeData/N=1000/574-surge_c.csv b/SurgeData/574-surge_c.csv similarity index 100% rename from SurgeData/N=1000/574-surge_c.csv rename to SurgeData/574-surge_c.csv diff --git a/SurgeData/N=1000/574-surge_w.csv b/SurgeData/574-surge_w.csv similarity index 100% rename from SurgeData/N=1000/574-surge_w.csv rename to SurgeData/574-surge_w.csv diff --git a/SurgeData/N=1000/574-time_c.csv b/SurgeData/574-time_c.csv similarity index 100% rename from SurgeData/N=1000/574-time_c.csv rename to SurgeData/574-time_c.csv diff --git a/SurgeData/N=1000/574-time_w.csv b/SurgeData/574-time_w.csv similarity index 100% rename from SurgeData/N=1000/574-time_w.csv rename to SurgeData/574-time_w.csv diff --git a/SurgeData/N=1000/574-waterlevel_c.csv b/SurgeData/574-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/574-waterlevel_c.csv rename to SurgeData/574-waterlevel_c.csv diff --git a/SurgeData/N=1000/574-waterlevel_w.csv b/SurgeData/574-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/574-waterlevel_w.csv rename to SurgeData/574-waterlevel_w.csv diff --git a/SurgeData/575-num_storm.csv b/SurgeData/575-num_storm.csv new file mode 100644 index 00000000..e88d4faf --- /dev/null +++ b/SurgeData/575-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,0.0,7.0 +2022,0.0,4.0 +2023,1.0,2.0 +2024,0.0,7.0 +2025,2.0,0.0 +2026,2.0,4.0 +2027,4.0,7.0 +2028,1.0,6.0 +2029,2.0,2.0 +2030,1.0,6.0 +2031,3.0,4.0 +2032,0.0,6.0 +2033,2.0,1.0 +2034,2.0,6.0 +2035,2.0,9.0 +2036,0.0,4.0 +2037,3.0,6.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,0.0,4.0 +2041,4.0,4.0 +2042,2.0,4.0 +2043,1.0,4.0 +2044,0.0,6.0 +2045,1.0,9.0 +2046,0.0,6.0 +2047,0.0,4.0 +2048,2.0,5.0 +2049,0.0,8.0 +2050,4.0,7.0 +2051,1.0,2.0 +2052,2.0,8.0 +2053,2.0,5.0 +2054,1.0,4.0 +2055,2.0,2.0 +2056,0.0,7.0 +2057,1.0,5.0 +2058,1.0,7.0 +2059,1.0,2.0 +2060,0.0,4.0 +2061,1.0,9.0 +2062,3.0,6.0 +2063,2.0,5.0 +2064,0.0,5.0 +2065,0.0,5.0 +2066,2.0,2.0 +2067,0.0,8.0 +2068,3.0,8.0 +2069,0.0,6.0 +2070,0.0,3.0 +2071,1.0,4.0 +2072,0.0,4.0 +2073,0.0,4.0 +2074,1.0,3.0 +2075,2.0,4.0 +2076,2.0,5.0 +2077,4.0,4.0 +2078,1.0,6.0 +2079,1.0,3.0 +2080,1.0,4.0 +2081,1.0,7.0 +2082,1.0,2.0 +2083,3.0,2.0 +2084,3.0,1.0 +2085,3.0,3.0 +2086,2.0,2.0 +2087,2.0,5.0 +2088,2.0,7.0 +2089,0.0,4.0 +2090,1.0,3.0 +2091,1.0,4.0 +2092,3.0,5.0 +2093,0.0,8.0 +2094,2.0,1.0 +2095,0.0,5.0 +2096,1.0,5.0 +2097,2.0,2.0 +2098,0.0,4.0 +2099,2.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/575-peak+year_c.csv b/SurgeData/575-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/575-peak+year_c.csv rename to SurgeData/575-peak+year_c.csv diff --git a/SurgeData/N=1000/575-peak+year_w.csv b/SurgeData/575-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/575-peak+year_w.csv rename to SurgeData/575-peak+year_w.csv diff --git a/SurgeData/N=1000/575-peak_c.csv b/SurgeData/575-peak_c.csv similarity index 100% rename from SurgeData/N=1000/575-peak_c.csv rename to SurgeData/575-peak_c.csv diff --git a/SurgeData/N=1000/575-peak_w.csv b/SurgeData/575-peak_w.csv similarity index 100% rename from SurgeData/N=1000/575-peak_w.csv rename to SurgeData/575-peak_w.csv diff --git a/SurgeData/N=1000/575-surge_c.csv b/SurgeData/575-surge_c.csv similarity index 100% rename from SurgeData/N=1000/575-surge_c.csv rename to SurgeData/575-surge_c.csv diff --git a/SurgeData/N=1000/575-surge_w.csv b/SurgeData/575-surge_w.csv similarity index 100% rename from SurgeData/N=1000/575-surge_w.csv rename to SurgeData/575-surge_w.csv diff --git a/SurgeData/N=1000/575-time_c.csv b/SurgeData/575-time_c.csv similarity index 100% rename from SurgeData/N=1000/575-time_c.csv rename to SurgeData/575-time_c.csv diff --git a/SurgeData/N=1000/575-time_w.csv b/SurgeData/575-time_w.csv similarity index 100% rename from SurgeData/N=1000/575-time_w.csv rename to SurgeData/575-time_w.csv diff --git a/SurgeData/N=1000/575-waterlevel_c.csv b/SurgeData/575-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/575-waterlevel_c.csv rename to SurgeData/575-waterlevel_c.csv diff --git a/SurgeData/N=1000/575-waterlevel_w.csv b/SurgeData/575-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/575-waterlevel_w.csv rename to SurgeData/575-waterlevel_w.csv diff --git a/SurgeData/576-num_storm.csv b/SurgeData/576-num_storm.csv new file mode 100644 index 00000000..677554af --- /dev/null +++ b/SurgeData/576-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,0.0,6.0 +2022,4.0,2.0 +2023,4.0,4.0 +2024,2.0,4.0 +2025,4.0,10.0 +2026,1.0,5.0 +2027,3.0,6.0 +2028,2.0,5.0 +2029,5.0,5.0 +2030,0.0,4.0 +2031,1.0,3.0 +2032,3.0,3.0 +2033,0.0,5.0 +2034,1.0,5.0 +2035,2.0,5.0 +2036,1.0,10.0 +2037,2.0,6.0 +2038,1.0,3.0 +2039,0.0,3.0 +2040,1.0,3.0 +2041,0.0,4.0 +2042,2.0,8.0 +2043,3.0,7.0 +2044,2.0,1.0 +2045,1.0,7.0 +2046,3.0,3.0 +2047,0.0,3.0 +2048,2.0,8.0 +2049,1.0,7.0 +2050,1.0,7.0 +2051,0.0,5.0 +2052,1.0,3.0 +2053,0.0,6.0 +2054,0.0,8.0 +2055,3.0,1.0 +2056,0.0,8.0 +2057,2.0,5.0 +2058,1.0,6.0 +2059,1.0,4.0 +2060,5.0,2.0 +2061,3.0,1.0 +2062,0.0,6.0 +2063,2.0,3.0 +2064,2.0,3.0 +2065,5.0,4.0 +2066,3.0,11.0 +2067,2.0,7.0 +2068,4.0,7.0 +2069,1.0,5.0 +2070,1.0,4.0 +2071,2.0,4.0 +2072,2.0,3.0 +2073,3.0,4.0 +2074,4.0,9.0 +2075,1.0,5.0 +2076,1.0,3.0 +2077,0.0,1.0 +2078,2.0,3.0 +2079,2.0,5.0 +2080,1.0,3.0 +2081,3.0,5.0 +2082,4.0,4.0 +2083,1.0,7.0 +2084,0.0,5.0 +2085,2.0,5.0 +2086,3.0,7.0 +2087,2.0,6.0 +2088,4.0,3.0 +2089,2.0,5.0 +2090,2.0,6.0 +2091,1.0,3.0 +2092,6.0,3.0 +2093,0.0,6.0 +2094,5.0,2.0 +2095,1.0,3.0 +2096,2.0,3.0 +2097,1.0,2.0 +2098,2.0,5.0 +2099,1.0,5.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/576-peak+year_c.csv b/SurgeData/576-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/576-peak+year_c.csv rename to SurgeData/576-peak+year_c.csv diff --git a/SurgeData/N=1000/576-peak+year_w.csv b/SurgeData/576-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/576-peak+year_w.csv rename to SurgeData/576-peak+year_w.csv diff --git a/SurgeData/N=1000/576-peak_c.csv b/SurgeData/576-peak_c.csv similarity index 100% rename from SurgeData/N=1000/576-peak_c.csv rename to SurgeData/576-peak_c.csv diff --git a/SurgeData/N=1000/576-peak_w.csv b/SurgeData/576-peak_w.csv similarity index 100% rename from SurgeData/N=1000/576-peak_w.csv rename to SurgeData/576-peak_w.csv diff --git a/SurgeData/N=1000/576-surge_c.csv b/SurgeData/576-surge_c.csv similarity index 100% rename from SurgeData/N=1000/576-surge_c.csv rename to SurgeData/576-surge_c.csv diff --git a/SurgeData/N=1000/576-surge_w.csv b/SurgeData/576-surge_w.csv similarity index 100% rename from SurgeData/N=1000/576-surge_w.csv rename to SurgeData/576-surge_w.csv diff --git a/SurgeData/N=1000/576-time_c.csv b/SurgeData/576-time_c.csv similarity index 100% rename from SurgeData/N=1000/576-time_c.csv rename to SurgeData/576-time_c.csv diff --git a/SurgeData/N=1000/576-time_w.csv b/SurgeData/576-time_w.csv similarity index 100% rename from SurgeData/N=1000/576-time_w.csv rename to SurgeData/576-time_w.csv diff --git a/SurgeData/N=1000/576-waterlevel_c.csv b/SurgeData/576-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/576-waterlevel_c.csv rename to SurgeData/576-waterlevel_c.csv diff --git a/SurgeData/N=1000/576-waterlevel_w.csv b/SurgeData/576-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/576-waterlevel_w.csv rename to SurgeData/576-waterlevel_w.csv diff --git a/SurgeData/N=1000/577-peak+year_c.csv b/SurgeData/577-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/577-peak+year_c.csv rename to SurgeData/577-peak+year_c.csv diff --git a/SurgeData/N=1000/577-peak+year_w.csv b/SurgeData/577-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/577-peak+year_w.csv rename to SurgeData/577-peak+year_w.csv diff --git a/SurgeData/N=1000/577-peak_c.csv b/SurgeData/577-peak_c.csv similarity index 100% rename from SurgeData/N=1000/577-peak_c.csv rename to SurgeData/577-peak_c.csv diff --git a/SurgeData/N=1000/577-peak_w.csv b/SurgeData/577-peak_w.csv similarity index 100% rename from SurgeData/N=1000/577-peak_w.csv rename to SurgeData/577-peak_w.csv diff --git a/SurgeData/N=1000/577-surge_c.csv b/SurgeData/577-surge_c.csv similarity index 100% rename from SurgeData/N=1000/577-surge_c.csv rename to SurgeData/577-surge_c.csv diff --git a/SurgeData/N=1000/577-surge_w.csv b/SurgeData/577-surge_w.csv similarity index 100% rename from SurgeData/N=1000/577-surge_w.csv rename to SurgeData/577-surge_w.csv diff --git a/SurgeData/N=1000/577-time_c.csv b/SurgeData/577-time_c.csv similarity index 100% rename from SurgeData/N=1000/577-time_c.csv rename to SurgeData/577-time_c.csv diff --git a/SurgeData/N=1000/577-time_w.csv b/SurgeData/577-time_w.csv similarity index 100% rename from SurgeData/N=1000/577-time_w.csv rename to SurgeData/577-time_w.csv diff --git a/SurgeData/N=1000/577-waterlevel_c.csv b/SurgeData/577-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/577-waterlevel_c.csv rename to SurgeData/577-waterlevel_c.csv diff --git a/SurgeData/N=1000/577-waterlevel_w.csv b/SurgeData/577-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/577-waterlevel_w.csv rename to SurgeData/577-waterlevel_w.csv diff --git a/SurgeData/578-num_storm.csv b/SurgeData/578-num_storm.csv new file mode 100644 index 00000000..08258308 --- /dev/null +++ b/SurgeData/578-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,3.0,6.0 +2023,1.0,5.0 +2024,1.0,2.0 +2025,2.0,4.0 +2026,3.0,6.0 +2027,0.0,4.0 +2028,0.0,7.0 +2029,2.0,7.0 +2030,4.0,8.0 +2031,2.0,5.0 +2032,2.0,1.0 +2033,0.0,3.0 +2034,1.0,3.0 +2035,0.0,3.0 +2036,1.0,3.0 +2037,2.0,2.0 +2038,1.0,3.0 +2039,0.0,3.0 +2040,3.0,6.0 +2041,1.0,9.0 +2042,3.0,3.0 +2043,2.0,1.0 +2044,0.0,3.0 +2045,2.0,2.0 +2046,0.0,3.0 +2047,1.0,2.0 +2048,0.0,4.0 +2049,2.0,2.0 +2050,0.0,2.0 +2051,2.0,5.0 +2052,0.0,1.0 +2053,2.0,3.0 +2054,0.0,2.0 +2055,0.0,3.0 +2056,1.0,6.0 +2057,2.0,3.0 +2058,0.0,7.0 +2059,4.0,3.0 +2060,1.0,3.0 +2061,1.0,3.0 +2062,0.0,3.0 +2063,5.0,1.0 +2064,1.0,2.0 +2065,1.0,2.0 +2066,5.0,2.0 +2067,2.0,6.0 +2068,0.0,9.0 +2069,1.0,4.0 +2070,3.0,4.0 +2071,0.0,4.0 +2072,0.0,7.0 +2073,1.0,0.0 +2074,3.0,3.0 +2075,3.0,6.0 +2076,0.0,3.0 +2077,2.0,6.0 +2078,0.0,4.0 +2079,0.0,5.0 +2080,2.0,2.0 +2081,1.0,5.0 +2082,2.0,6.0 +2083,1.0,7.0 +2084,0.0,6.0 +2085,0.0,4.0 +2086,2.0,6.0 +2087,0.0,5.0 +2088,3.0,4.0 +2089,2.0,2.0 +2090,1.0,5.0 +2091,0.0,3.0 +2092,1.0,6.0 +2093,2.0,3.0 +2094,2.0,6.0 +2095,4.0,4.0 +2096,1.0,6.0 +2097,1.0,3.0 +2098,3.0,6.0 +2099,2.0,3.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/578-peak+year_c.csv b/SurgeData/578-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/578-peak+year_c.csv rename to SurgeData/578-peak+year_c.csv diff --git a/SurgeData/N=1000/578-peak+year_w.csv b/SurgeData/578-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/578-peak+year_w.csv rename to SurgeData/578-peak+year_w.csv diff --git a/SurgeData/N=1000/578-peak_c.csv b/SurgeData/578-peak_c.csv similarity index 100% rename from SurgeData/N=1000/578-peak_c.csv rename to SurgeData/578-peak_c.csv diff --git a/SurgeData/N=1000/578-peak_w.csv b/SurgeData/578-peak_w.csv similarity index 100% rename from SurgeData/N=1000/578-peak_w.csv rename to SurgeData/578-peak_w.csv diff --git a/SurgeData/N=1000/578-surge_c.csv b/SurgeData/578-surge_c.csv similarity index 100% rename from SurgeData/N=1000/578-surge_c.csv rename to SurgeData/578-surge_c.csv diff --git a/SurgeData/N=1000/578-surge_w.csv b/SurgeData/578-surge_w.csv similarity index 100% rename from SurgeData/N=1000/578-surge_w.csv rename to SurgeData/578-surge_w.csv diff --git a/SurgeData/N=1000/578-time_c.csv b/SurgeData/578-time_c.csv similarity index 100% rename from SurgeData/N=1000/578-time_c.csv rename to SurgeData/578-time_c.csv diff --git a/SurgeData/N=1000/578-time_w.csv b/SurgeData/578-time_w.csv similarity index 100% rename from SurgeData/N=1000/578-time_w.csv rename to SurgeData/578-time_w.csv diff --git a/SurgeData/N=1000/578-waterlevel_c.csv b/SurgeData/578-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/578-waterlevel_c.csv rename to SurgeData/578-waterlevel_c.csv diff --git a/SurgeData/N=1000/578-waterlevel_w.csv b/SurgeData/578-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/578-waterlevel_w.csv rename to SurgeData/578-waterlevel_w.csv diff --git a/SurgeData/579-num_storm.csv b/SurgeData/579-num_storm.csv new file mode 100644 index 00000000..87e1c051 --- /dev/null +++ b/SurgeData/579-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,6.0 +2022,1.0,6.0 +2023,4.0,3.0 +2024,1.0,4.0 +2025,1.0,3.0 +2026,1.0,5.0 +2027,0.0,5.0 +2028,1.0,1.0 +2029,3.0,4.0 +2030,2.0,3.0 +2031,0.0,5.0 +2032,3.0,7.0 +2033,1.0,3.0 +2034,0.0,10.0 +2035,1.0,3.0 +2036,5.0,3.0 +2037,1.0,5.0 +2038,2.0,5.0 +2039,4.0,2.0 +2040,2.0,6.0 +2041,3.0,3.0 +2042,0.0,7.0 +2043,1.0,5.0 +2044,1.0,5.0 +2045,1.0,5.0 +2046,2.0,1.0 +2047,2.0,5.0 +2048,2.0,6.0 +2049,3.0,1.0 +2050,2.0,4.0 +2051,4.0,0.0 +2052,1.0,4.0 +2053,3.0,3.0 +2054,2.0,3.0 +2055,3.0,6.0 +2056,2.0,5.0 +2057,0.0,2.0 +2058,1.0,2.0 +2059,2.0,2.0 +2060,3.0,1.0 +2061,0.0,4.0 +2062,0.0,0.0 +2063,4.0,3.0 +2064,2.0,4.0 +2065,1.0,5.0 +2066,2.0,9.0 +2067,1.0,2.0 +2068,1.0,6.0 +2069,1.0,3.0 +2070,2.0,1.0 +2071,0.0,2.0 +2072,2.0,9.0 +2073,3.0,2.0 +2074,2.0,5.0 +2075,1.0,5.0 +2076,1.0,8.0 +2077,2.0,5.0 +2078,0.0,7.0 +2079,3.0,4.0 +2080,5.0,5.0 +2081,1.0,8.0 +2082,0.0,6.0 +2083,1.0,5.0 +2084,5.0,1.0 +2085,2.0,1.0 +2086,0.0,6.0 +2087,0.0,4.0 +2088,1.0,3.0 +2089,3.0,2.0 +2090,1.0,2.0 +2091,2.0,3.0 +2092,2.0,5.0 +2093,4.0,3.0 +2094,0.0,4.0 +2095,1.0,2.0 +2096,1.0,2.0 +2097,0.0,8.0 +2098,1.0,3.0 +2099,2.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/579-peak+year_c.csv b/SurgeData/579-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/579-peak+year_c.csv rename to SurgeData/579-peak+year_c.csv diff --git a/SurgeData/N=1000/579-peak+year_w.csv b/SurgeData/579-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/579-peak+year_w.csv rename to SurgeData/579-peak+year_w.csv diff --git a/SurgeData/N=1000/579-peak_c.csv b/SurgeData/579-peak_c.csv similarity index 100% rename from SurgeData/N=1000/579-peak_c.csv rename to SurgeData/579-peak_c.csv diff --git a/SurgeData/N=1000/579-peak_w.csv b/SurgeData/579-peak_w.csv similarity index 100% rename from SurgeData/N=1000/579-peak_w.csv rename to SurgeData/579-peak_w.csv diff --git a/SurgeData/N=1000/579-surge_c.csv b/SurgeData/579-surge_c.csv similarity index 100% rename from SurgeData/N=1000/579-surge_c.csv rename to SurgeData/579-surge_c.csv diff --git a/SurgeData/N=1000/579-surge_w.csv b/SurgeData/579-surge_w.csv similarity index 100% rename from SurgeData/N=1000/579-surge_w.csv rename to SurgeData/579-surge_w.csv diff --git a/SurgeData/N=1000/579-time_c.csv b/SurgeData/579-time_c.csv similarity index 100% rename from SurgeData/N=1000/579-time_c.csv rename to SurgeData/579-time_c.csv diff --git a/SurgeData/N=1000/579-time_w.csv b/SurgeData/579-time_w.csv similarity index 100% rename from SurgeData/N=1000/579-time_w.csv rename to SurgeData/579-time_w.csv diff --git a/SurgeData/N=1000/579-waterlevel_c.csv b/SurgeData/579-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/579-waterlevel_c.csv rename to SurgeData/579-waterlevel_c.csv diff --git a/SurgeData/N=1000/579-waterlevel_w.csv b/SurgeData/579-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/579-waterlevel_w.csv rename to SurgeData/579-waterlevel_w.csv diff --git a/SurgeData/58-num_storm.csv b/SurgeData/58-num_storm.csv new file mode 100644 index 00000000..c868878c --- /dev/null +++ b/SurgeData/58-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,5.0 +2022,1.0,3.0 +2023,3.0,2.0 +2024,1.0,2.0 +2025,1.0,3.0 +2026,3.0,5.0 +2027,1.0,7.0 +2028,0.0,3.0 +2029,3.0,4.0 +2030,2.0,7.0 +2031,2.0,9.0 +2032,2.0,9.0 +2033,3.0,4.0 +2034,0.0,3.0 +2035,0.0,4.0 +2036,2.0,5.0 +2037,1.0,2.0 +2038,3.0,2.0 +2039,1.0,4.0 +2040,2.0,2.0 +2041,1.0,6.0 +2042,2.0,7.0 +2043,2.0,3.0 +2044,3.0,5.0 +2045,0.0,4.0 +2046,2.0,6.0 +2047,4.0,5.0 +2048,0.0,6.0 +2049,1.0,6.0 +2050,2.0,6.0 +2051,0.0,6.0 +2052,1.0,6.0 +2053,2.0,8.0 +2054,1.0,2.0 +2055,0.0,3.0 +2056,3.0,7.0 +2057,4.0,5.0 +2058,2.0,6.0 +2059,1.0,2.0 +2060,0.0,2.0 +2061,2.0,6.0 +2062,0.0,7.0 +2063,1.0,9.0 +2064,4.0,6.0 +2065,0.0,5.0 +2066,2.0,8.0 +2067,0.0,2.0 +2068,3.0,3.0 +2069,0.0,5.0 +2070,1.0,3.0 +2071,0.0,1.0 +2072,3.0,2.0 +2073,1.0,2.0 +2074,1.0,4.0 +2075,2.0,4.0 +2076,0.0,2.0 +2077,2.0,4.0 +2078,1.0,4.0 +2079,1.0,4.0 +2080,3.0,8.0 +2081,3.0,7.0 +2082,5.0,5.0 +2083,1.0,5.0 +2084,3.0,0.0 +2085,3.0,5.0 +2086,1.0,8.0 +2087,3.0,8.0 +2088,0.0,3.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,3.0,6.0 +2092,0.0,3.0 +2093,2.0,3.0 +2094,3.0,6.0 +2095,2.0,5.0 +2096,3.0,4.0 +2097,5.0,4.0 +2098,0.0,4.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/58-peak+year_c.csv b/SurgeData/58-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/58-peak+year_c.csv rename to SurgeData/58-peak+year_c.csv diff --git a/SurgeData/N=1000/58-peak+year_w.csv b/SurgeData/58-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/58-peak+year_w.csv rename to SurgeData/58-peak+year_w.csv diff --git a/SurgeData/N=1000/58-peak_c.csv b/SurgeData/58-peak_c.csv similarity index 100% rename from SurgeData/N=1000/58-peak_c.csv rename to SurgeData/58-peak_c.csv diff --git a/SurgeData/N=1000/58-peak_w.csv b/SurgeData/58-peak_w.csv similarity index 100% rename from SurgeData/N=1000/58-peak_w.csv rename to SurgeData/58-peak_w.csv diff --git a/SurgeData/N=1000/58-surge_c.csv b/SurgeData/58-surge_c.csv similarity index 100% rename from SurgeData/N=1000/58-surge_c.csv rename to SurgeData/58-surge_c.csv diff --git a/SurgeData/N=1000/58-surge_w.csv b/SurgeData/58-surge_w.csv similarity index 100% rename from SurgeData/N=1000/58-surge_w.csv rename to SurgeData/58-surge_w.csv diff --git a/SurgeData/N=1000/58-time_c.csv b/SurgeData/58-time_c.csv similarity index 100% rename from SurgeData/N=1000/58-time_c.csv rename to SurgeData/58-time_c.csv diff --git a/SurgeData/N=1000/58-time_w.csv b/SurgeData/58-time_w.csv similarity index 100% rename from SurgeData/N=1000/58-time_w.csv rename to SurgeData/58-time_w.csv diff --git a/SurgeData/N=1000/58-waterlevel_c.csv b/SurgeData/58-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/58-waterlevel_c.csv rename to SurgeData/58-waterlevel_c.csv diff --git a/SurgeData/N=1000/58-waterlevel_w.csv b/SurgeData/58-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/58-waterlevel_w.csv rename to SurgeData/58-waterlevel_w.csv diff --git a/SurgeData/580-num_storm.csv b/SurgeData/580-num_storm.csv new file mode 100644 index 00000000..ae46d524 --- /dev/null +++ b/SurgeData/580-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,0.0,2.0 +2022,1.0,3.0 +2023,0.0,3.0 +2024,1.0,0.0 +2025,0.0,2.0 +2026,2.0,4.0 +2027,2.0,6.0 +2028,1.0,1.0 +2029,1.0,3.0 +2030,1.0,1.0 +2031,0.0,1.0 +2032,2.0,2.0 +2033,2.0,4.0 +2034,4.0,2.0 +2035,3.0,4.0 +2036,0.0,2.0 +2037,1.0,6.0 +2038,3.0,4.0 +2039,2.0,1.0 +2040,1.0,1.0 +2041,3.0,5.0 +2042,3.0,6.0 +2043,2.0,10.0 +2044,4.0,5.0 +2045,0.0,4.0 +2046,1.0,1.0 +2047,2.0,3.0 +2048,0.0,5.0 +2049,2.0,8.0 +2050,0.0,6.0 +2051,1.0,3.0 +2052,1.0,4.0 +2053,2.0,8.0 +2054,1.0,4.0 +2055,0.0,1.0 +2056,3.0,1.0 +2057,0.0,7.0 +2058,3.0,6.0 +2059,1.0,4.0 +2060,2.0,3.0 +2061,1.0,6.0 +2062,0.0,1.0 +2063,2.0,3.0 +2064,5.0,7.0 +2065,0.0,6.0 +2066,3.0,6.0 +2067,1.0,4.0 +2068,3.0,5.0 +2069,0.0,3.0 +2070,3.0,0.0 +2071,0.0,2.0 +2072,0.0,4.0 +2073,2.0,4.0 +2074,0.0,2.0 +2075,0.0,2.0 +2076,2.0,3.0 +2077,1.0,2.0 +2078,0.0,7.0 +2079,1.0,5.0 +2080,0.0,5.0 +2081,1.0,6.0 +2082,1.0,6.0 +2083,0.0,6.0 +2084,1.0,2.0 +2085,2.0,7.0 +2086,2.0,3.0 +2087,3.0,4.0 +2088,3.0,2.0 +2089,2.0,3.0 +2090,1.0,4.0 +2091,1.0,4.0 +2092,3.0,4.0 +2093,1.0,4.0 +2094,0.0,8.0 +2095,0.0,3.0 +2096,0.0,5.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,3.0,4.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/580-peak+year_c.csv b/SurgeData/580-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/580-peak+year_c.csv rename to SurgeData/580-peak+year_c.csv diff --git a/SurgeData/N=1000/580-peak+year_w.csv b/SurgeData/580-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/580-peak+year_w.csv rename to SurgeData/580-peak+year_w.csv diff --git a/SurgeData/N=1000/580-peak_c.csv b/SurgeData/580-peak_c.csv similarity index 100% rename from SurgeData/N=1000/580-peak_c.csv rename to SurgeData/580-peak_c.csv diff --git a/SurgeData/N=1000/580-peak_w.csv b/SurgeData/580-peak_w.csv similarity index 100% rename from SurgeData/N=1000/580-peak_w.csv rename to SurgeData/580-peak_w.csv diff --git a/SurgeData/N=1000/580-surge_c.csv b/SurgeData/580-surge_c.csv similarity index 100% rename from SurgeData/N=1000/580-surge_c.csv rename to SurgeData/580-surge_c.csv diff --git a/SurgeData/N=1000/580-surge_w.csv b/SurgeData/580-surge_w.csv similarity index 100% rename from SurgeData/N=1000/580-surge_w.csv rename to SurgeData/580-surge_w.csv diff --git a/SurgeData/N=1000/580-time_c.csv b/SurgeData/580-time_c.csv similarity index 100% rename from SurgeData/N=1000/580-time_c.csv rename to SurgeData/580-time_c.csv diff --git a/SurgeData/N=1000/580-time_w.csv b/SurgeData/580-time_w.csv similarity index 100% rename from SurgeData/N=1000/580-time_w.csv rename to SurgeData/580-time_w.csv diff --git a/SurgeData/N=1000/580-waterlevel_c.csv b/SurgeData/580-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/580-waterlevel_c.csv rename to SurgeData/580-waterlevel_c.csv diff --git a/SurgeData/N=1000/580-waterlevel_w.csv b/SurgeData/580-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/580-waterlevel_w.csv rename to SurgeData/580-waterlevel_w.csv diff --git a/SurgeData/581-num_storm.csv b/SurgeData/581-num_storm.csv new file mode 100644 index 00000000..2b57af79 --- /dev/null +++ b/SurgeData/581-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,7.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,2.0,6.0 +2025,2.0,3.0 +2026,1.0,2.0 +2027,3.0,7.0 +2028,1.0,5.0 +2029,2.0,3.0 +2030,1.0,7.0 +2031,2.0,6.0 +2032,1.0,3.0 +2033,2.0,3.0 +2034,4.0,5.0 +2035,2.0,2.0 +2036,3.0,4.0 +2037,3.0,5.0 +2038,3.0,4.0 +2039,1.0,2.0 +2040,0.0,3.0 +2041,2.0,8.0 +2042,0.0,4.0 +2043,3.0,2.0 +2044,3.0,1.0 +2045,2.0,1.0 +2046,0.0,3.0 +2047,1.0,4.0 +2048,2.0,5.0 +2049,1.0,4.0 +2050,0.0,3.0 +2051,3.0,5.0 +2052,0.0,2.0 +2053,3.0,1.0 +2054,0.0,8.0 +2055,2.0,6.0 +2056,0.0,4.0 +2057,2.0,4.0 +2058,1.0,6.0 +2059,2.0,6.0 +2060,1.0,6.0 +2061,4.0,11.0 +2062,2.0,4.0 +2063,0.0,3.0 +2064,3.0,3.0 +2065,5.0,7.0 +2066,1.0,2.0 +2067,1.0,3.0 +2068,1.0,2.0 +2069,1.0,3.0 +2070,0.0,4.0 +2071,2.0,4.0 +2072,2.0,2.0 +2073,1.0,2.0 +2074,1.0,4.0 +2075,1.0,5.0 +2076,2.0,6.0 +2077,3.0,4.0 +2078,2.0,3.0 +2079,1.0,7.0 +2080,3.0,3.0 +2081,1.0,3.0 +2082,2.0,4.0 +2083,4.0,2.0 +2084,2.0,2.0 +2085,0.0,2.0 +2086,1.0,3.0 +2087,2.0,5.0 +2088,2.0,4.0 +2089,1.0,5.0 +2090,0.0,6.0 +2091,1.0,4.0 +2092,2.0,6.0 +2093,2.0,5.0 +2094,5.0,5.0 +2095,0.0,5.0 +2096,1.0,6.0 +2097,2.0,5.0 +2098,5.0,4.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/581-peak+year_c.csv b/SurgeData/581-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/581-peak+year_c.csv rename to SurgeData/581-peak+year_c.csv diff --git a/SurgeData/N=1000/581-peak+year_w.csv b/SurgeData/581-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/581-peak+year_w.csv rename to SurgeData/581-peak+year_w.csv diff --git a/SurgeData/N=1000/581-peak_c.csv b/SurgeData/581-peak_c.csv similarity index 100% rename from SurgeData/N=1000/581-peak_c.csv rename to SurgeData/581-peak_c.csv diff --git a/SurgeData/N=1000/581-peak_w.csv b/SurgeData/581-peak_w.csv similarity index 100% rename from SurgeData/N=1000/581-peak_w.csv rename to SurgeData/581-peak_w.csv diff --git a/SurgeData/N=1000/581-surge_c.csv b/SurgeData/581-surge_c.csv similarity index 100% rename from SurgeData/N=1000/581-surge_c.csv rename to SurgeData/581-surge_c.csv diff --git a/SurgeData/N=1000/581-surge_w.csv b/SurgeData/581-surge_w.csv similarity index 100% rename from SurgeData/N=1000/581-surge_w.csv rename to SurgeData/581-surge_w.csv diff --git a/SurgeData/N=1000/581-time_c.csv b/SurgeData/581-time_c.csv similarity index 100% rename from SurgeData/N=1000/581-time_c.csv rename to SurgeData/581-time_c.csv diff --git a/SurgeData/N=1000/581-time_w.csv b/SurgeData/581-time_w.csv similarity index 100% rename from SurgeData/N=1000/581-time_w.csv rename to SurgeData/581-time_w.csv diff --git a/SurgeData/N=1000/581-waterlevel_c.csv b/SurgeData/581-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/581-waterlevel_c.csv rename to SurgeData/581-waterlevel_c.csv diff --git a/SurgeData/N=1000/581-waterlevel_w.csv b/SurgeData/581-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/581-waterlevel_w.csv rename to SurgeData/581-waterlevel_w.csv diff --git a/SurgeData/582-num_storm.csv b/SurgeData/582-num_storm.csv new file mode 100644 index 00000000..25cfcf75 --- /dev/null +++ b/SurgeData/582-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,0.0,3.0 +2023,0.0,2.0 +2024,6.0,2.0 +2025,1.0,2.0 +2026,3.0,6.0 +2027,0.0,4.0 +2028,0.0,7.0 +2029,1.0,9.0 +2030,1.0,2.0 +2031,0.0,4.0 +2032,2.0,3.0 +2033,3.0,7.0 +2034,3.0,5.0 +2035,0.0,4.0 +2036,2.0,5.0 +2037,2.0,1.0 +2038,0.0,0.0 +2039,1.0,2.0 +2040,4.0,6.0 +2041,1.0,6.0 +2042,0.0,10.0 +2043,1.0,2.0 +2044,2.0,4.0 +2045,2.0,6.0 +2046,3.0,6.0 +2047,1.0,5.0 +2048,1.0,5.0 +2049,1.0,6.0 +2050,3.0,1.0 +2051,0.0,5.0 +2052,3.0,5.0 +2053,2.0,5.0 +2054,1.0,5.0 +2055,1.0,3.0 +2056,1.0,5.0 +2057,1.0,4.0 +2058,1.0,8.0 +2059,2.0,3.0 +2060,2.0,2.0 +2061,2.0,10.0 +2062,1.0,3.0 +2063,1.0,7.0 +2064,0.0,6.0 +2065,1.0,5.0 +2066,2.0,4.0 +2067,2.0,4.0 +2068,1.0,6.0 +2069,1.0,3.0 +2070,1.0,5.0 +2071,2.0,5.0 +2072,0.0,2.0 +2073,0.0,5.0 +2074,1.0,3.0 +2075,1.0,4.0 +2076,1.0,5.0 +2077,1.0,4.0 +2078,2.0,6.0 +2079,1.0,6.0 +2080,1.0,1.0 +2081,0.0,5.0 +2082,3.0,2.0 +2083,2.0,3.0 +2084,1.0,5.0 +2085,3.0,8.0 +2086,0.0,4.0 +2087,0.0,0.0 +2088,4.0,4.0 +2089,3.0,4.0 +2090,5.0,1.0 +2091,3.0,2.0 +2092,5.0,2.0 +2093,0.0,3.0 +2094,0.0,5.0 +2095,3.0,2.0 +2096,0.0,4.0 +2097,5.0,4.0 +2098,5.0,6.0 +2099,1.0,5.0 +2100,2.0,8.0 diff --git a/SurgeData/N=1000/582-peak+year_c.csv b/SurgeData/582-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/582-peak+year_c.csv rename to SurgeData/582-peak+year_c.csv diff --git a/SurgeData/N=1000/582-peak+year_w.csv b/SurgeData/582-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/582-peak+year_w.csv rename to SurgeData/582-peak+year_w.csv diff --git a/SurgeData/N=1000/582-peak_c.csv b/SurgeData/582-peak_c.csv similarity index 100% rename from SurgeData/N=1000/582-peak_c.csv rename to SurgeData/582-peak_c.csv diff --git a/SurgeData/N=1000/582-peak_w.csv b/SurgeData/582-peak_w.csv similarity index 100% rename from SurgeData/N=1000/582-peak_w.csv rename to SurgeData/582-peak_w.csv diff --git a/SurgeData/N=1000/582-surge_c.csv b/SurgeData/582-surge_c.csv similarity index 100% rename from SurgeData/N=1000/582-surge_c.csv rename to SurgeData/582-surge_c.csv diff --git a/SurgeData/N=1000/582-surge_w.csv b/SurgeData/582-surge_w.csv similarity index 100% rename from SurgeData/N=1000/582-surge_w.csv rename to SurgeData/582-surge_w.csv diff --git a/SurgeData/N=1000/582-time_c.csv b/SurgeData/582-time_c.csv similarity index 100% rename from SurgeData/N=1000/582-time_c.csv rename to SurgeData/582-time_c.csv diff --git a/SurgeData/N=1000/582-time_w.csv b/SurgeData/582-time_w.csv similarity index 100% rename from SurgeData/N=1000/582-time_w.csv rename to SurgeData/582-time_w.csv diff --git a/SurgeData/N=1000/582-waterlevel_c.csv b/SurgeData/582-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/582-waterlevel_c.csv rename to SurgeData/582-waterlevel_c.csv diff --git a/SurgeData/N=1000/582-waterlevel_w.csv b/SurgeData/582-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/582-waterlevel_w.csv rename to SurgeData/582-waterlevel_w.csv diff --git a/SurgeData/583-num_storm.csv b/SurgeData/583-num_storm.csv new file mode 100644 index 00000000..a516460e --- /dev/null +++ b/SurgeData/583-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,8.0 +2021,2.0,7.0 +2022,1.0,2.0 +2023,1.0,6.0 +2024,0.0,3.0 +2025,0.0,4.0 +2026,2.0,7.0 +2027,1.0,2.0 +2028,0.0,4.0 +2029,1.0,6.0 +2030,2.0,6.0 +2031,1.0,5.0 +2032,2.0,3.0 +2033,1.0,4.0 +2034,4.0,4.0 +2035,2.0,3.0 +2036,1.0,2.0 +2037,2.0,5.0 +2038,1.0,7.0 +2039,1.0,5.0 +2040,2.0,7.0 +2041,0.0,5.0 +2042,0.0,3.0 +2043,0.0,6.0 +2044,2.0,4.0 +2045,3.0,5.0 +2046,2.0,3.0 +2047,4.0,3.0 +2048,2.0,7.0 +2049,0.0,6.0 +2050,0.0,5.0 +2051,2.0,2.0 +2052,2.0,5.0 +2053,0.0,3.0 +2054,3.0,3.0 +2055,3.0,1.0 +2056,0.0,6.0 +2057,4.0,3.0 +2058,2.0,3.0 +2059,2.0,3.0 +2060,1.0,8.0 +2061,1.0,5.0 +2062,5.0,3.0 +2063,2.0,5.0 +2064,6.0,3.0 +2065,3.0,2.0 +2066,1.0,1.0 +2067,1.0,3.0 +2068,3.0,7.0 +2069,2.0,5.0 +2070,4.0,3.0 +2071,2.0,3.0 +2072,1.0,6.0 +2073,1.0,6.0 +2074,2.0,5.0 +2075,1.0,6.0 +2076,2.0,6.0 +2077,1.0,4.0 +2078,3.0,3.0 +2079,0.0,7.0 +2080,3.0,3.0 +2081,1.0,8.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,1.0,8.0 +2085,1.0,8.0 +2086,1.0,5.0 +2087,1.0,4.0 +2088,2.0,4.0 +2089,2.0,2.0 +2090,1.0,8.0 +2091,2.0,2.0 +2092,1.0,3.0 +2093,2.0,5.0 +2094,0.0,5.0 +2095,2.0,3.0 +2096,0.0,3.0 +2097,3.0,5.0 +2098,2.0,2.0 +2099,1.0,2.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/583-peak+year_c.csv b/SurgeData/583-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/583-peak+year_c.csv rename to SurgeData/583-peak+year_c.csv diff --git a/SurgeData/N=1000/583-peak+year_w.csv b/SurgeData/583-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/583-peak+year_w.csv rename to SurgeData/583-peak+year_w.csv diff --git a/SurgeData/N=1000/583-peak_c.csv b/SurgeData/583-peak_c.csv similarity index 100% rename from SurgeData/N=1000/583-peak_c.csv rename to SurgeData/583-peak_c.csv diff --git a/SurgeData/N=1000/583-peak_w.csv b/SurgeData/583-peak_w.csv similarity index 100% rename from SurgeData/N=1000/583-peak_w.csv rename to SurgeData/583-peak_w.csv diff --git a/SurgeData/N=1000/583-surge_c.csv b/SurgeData/583-surge_c.csv similarity index 100% rename from SurgeData/N=1000/583-surge_c.csv rename to SurgeData/583-surge_c.csv diff --git a/SurgeData/N=1000/583-surge_w.csv b/SurgeData/583-surge_w.csv similarity index 100% rename from SurgeData/N=1000/583-surge_w.csv rename to SurgeData/583-surge_w.csv diff --git a/SurgeData/N=1000/583-time_c.csv b/SurgeData/583-time_c.csv similarity index 100% rename from SurgeData/N=1000/583-time_c.csv rename to SurgeData/583-time_c.csv diff --git a/SurgeData/N=1000/583-time_w.csv b/SurgeData/583-time_w.csv similarity index 100% rename from SurgeData/N=1000/583-time_w.csv rename to SurgeData/583-time_w.csv diff --git a/SurgeData/N=1000/583-waterlevel_c.csv b/SurgeData/583-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/583-waterlevel_c.csv rename to SurgeData/583-waterlevel_c.csv diff --git a/SurgeData/N=1000/583-waterlevel_w.csv b/SurgeData/583-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/583-waterlevel_w.csv rename to SurgeData/583-waterlevel_w.csv diff --git a/SurgeData/584-num_storm.csv b/SurgeData/584-num_storm.csv new file mode 100644 index 00000000..f7a2ee08 --- /dev/null +++ b/SurgeData/584-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,4.0 +2022,2.0,1.0 +2023,5.0,7.0 +2024,0.0,3.0 +2025,2.0,5.0 +2026,2.0,1.0 +2027,0.0,7.0 +2028,0.0,2.0 +2029,2.0,5.0 +2030,2.0,3.0 +2031,1.0,2.0 +2032,1.0,2.0 +2033,1.0,3.0 +2034,1.0,3.0 +2035,5.0,3.0 +2036,2.0,4.0 +2037,1.0,3.0 +2038,3.0,3.0 +2039,4.0,4.0 +2040,2.0,3.0 +2041,1.0,3.0 +2042,3.0,4.0 +2043,3.0,6.0 +2044,1.0,6.0 +2045,1.0,2.0 +2046,2.0,3.0 +2047,2.0,5.0 +2048,2.0,3.0 +2049,2.0,5.0 +2050,2.0,4.0 +2051,0.0,1.0 +2052,1.0,3.0 +2053,4.0,3.0 +2054,3.0,3.0 +2055,0.0,4.0 +2056,2.0,8.0 +2057,3.0,5.0 +2058,1.0,6.0 +2059,1.0,4.0 +2060,1.0,9.0 +2061,3.0,2.0 +2062,2.0,2.0 +2063,0.0,4.0 +2064,1.0,4.0 +2065,1.0,5.0 +2066,4.0,3.0 +2067,1.0,3.0 +2068,2.0,2.0 +2069,0.0,8.0 +2070,2.0,4.0 +2071,3.0,6.0 +2072,2.0,3.0 +2073,4.0,2.0 +2074,3.0,5.0 +2075,0.0,3.0 +2076,2.0,2.0 +2077,0.0,4.0 +2078,0.0,5.0 +2079,1.0,6.0 +2080,1.0,2.0 +2081,1.0,3.0 +2082,0.0,2.0 +2083,1.0,4.0 +2084,1.0,5.0 +2085,2.0,4.0 +2086,1.0,1.0 +2087,2.0,4.0 +2088,1.0,1.0 +2089,1.0,2.0 +2090,0.0,5.0 +2091,1.0,1.0 +2092,4.0,7.0 +2093,2.0,4.0 +2094,1.0,4.0 +2095,0.0,1.0 +2096,1.0,5.0 +2097,2.0,5.0 +2098,0.0,6.0 +2099,0.0,7.0 +2100,2.0,8.0 diff --git a/SurgeData/N=1000/584-peak+year_c.csv b/SurgeData/584-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/584-peak+year_c.csv rename to SurgeData/584-peak+year_c.csv diff --git a/SurgeData/N=1000/584-peak+year_w.csv b/SurgeData/584-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/584-peak+year_w.csv rename to SurgeData/584-peak+year_w.csv diff --git a/SurgeData/N=1000/584-peak_c.csv b/SurgeData/584-peak_c.csv similarity index 100% rename from SurgeData/N=1000/584-peak_c.csv rename to SurgeData/584-peak_c.csv diff --git a/SurgeData/N=1000/584-peak_w.csv b/SurgeData/584-peak_w.csv similarity index 100% rename from SurgeData/N=1000/584-peak_w.csv rename to SurgeData/584-peak_w.csv diff --git a/SurgeData/N=1000/584-surge_c.csv b/SurgeData/584-surge_c.csv similarity index 100% rename from SurgeData/N=1000/584-surge_c.csv rename to SurgeData/584-surge_c.csv diff --git a/SurgeData/N=1000/584-surge_w.csv b/SurgeData/584-surge_w.csv similarity index 100% rename from SurgeData/N=1000/584-surge_w.csv rename to SurgeData/584-surge_w.csv diff --git a/SurgeData/N=1000/584-time_c.csv b/SurgeData/584-time_c.csv similarity index 100% rename from SurgeData/N=1000/584-time_c.csv rename to SurgeData/584-time_c.csv diff --git a/SurgeData/N=1000/584-time_w.csv b/SurgeData/584-time_w.csv similarity index 100% rename from SurgeData/N=1000/584-time_w.csv rename to SurgeData/584-time_w.csv diff --git a/SurgeData/N=1000/584-waterlevel_c.csv b/SurgeData/584-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/584-waterlevel_c.csv rename to SurgeData/584-waterlevel_c.csv diff --git a/SurgeData/N=1000/584-waterlevel_w.csv b/SurgeData/584-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/584-waterlevel_w.csv rename to SurgeData/584-waterlevel_w.csv diff --git a/SurgeData/N=1000/585-peak+year_c.csv b/SurgeData/585-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/585-peak+year_c.csv rename to SurgeData/585-peak+year_c.csv diff --git a/SurgeData/N=1000/585-peak+year_w.csv b/SurgeData/585-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/585-peak+year_w.csv rename to SurgeData/585-peak+year_w.csv diff --git a/SurgeData/N=1000/585-peak_c.csv b/SurgeData/585-peak_c.csv similarity index 100% rename from SurgeData/N=1000/585-peak_c.csv rename to SurgeData/585-peak_c.csv diff --git a/SurgeData/N=1000/585-peak_w.csv b/SurgeData/585-peak_w.csv similarity index 100% rename from SurgeData/N=1000/585-peak_w.csv rename to SurgeData/585-peak_w.csv diff --git a/SurgeData/N=1000/585-surge_c.csv b/SurgeData/585-surge_c.csv similarity index 100% rename from SurgeData/N=1000/585-surge_c.csv rename to SurgeData/585-surge_c.csv diff --git a/SurgeData/N=1000/585-surge_w.csv b/SurgeData/585-surge_w.csv similarity index 100% rename from SurgeData/N=1000/585-surge_w.csv rename to SurgeData/585-surge_w.csv diff --git a/SurgeData/N=1000/585-time_c.csv b/SurgeData/585-time_c.csv similarity index 100% rename from SurgeData/N=1000/585-time_c.csv rename to SurgeData/585-time_c.csv diff --git a/SurgeData/N=1000/585-time_w.csv b/SurgeData/585-time_w.csv similarity index 100% rename from SurgeData/N=1000/585-time_w.csv rename to SurgeData/585-time_w.csv diff --git a/SurgeData/N=1000/585-waterlevel_c.csv b/SurgeData/585-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/585-waterlevel_c.csv rename to SurgeData/585-waterlevel_c.csv diff --git a/SurgeData/N=1000/585-waterlevel_w.csv b/SurgeData/585-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/585-waterlevel_w.csv rename to SurgeData/585-waterlevel_w.csv diff --git a/SurgeData/586-num_storm.csv b/SurgeData/586-num_storm.csv new file mode 100644 index 00000000..16a862ec --- /dev/null +++ b/SurgeData/586-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,10.0 +2021,0.0,5.0 +2022,2.0,1.0 +2023,0.0,3.0 +2024,2.0,6.0 +2025,2.0,4.0 +2026,2.0,3.0 +2027,0.0,2.0 +2028,1.0,2.0 +2029,1.0,4.0 +2030,0.0,4.0 +2031,1.0,6.0 +2032,3.0,5.0 +2033,1.0,4.0 +2034,0.0,2.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,0.0,3.0 +2038,0.0,3.0 +2039,0.0,4.0 +2040,6.0,6.0 +2041,0.0,2.0 +2042,2.0,5.0 +2043,3.0,1.0 +2044,2.0,4.0 +2045,2.0,7.0 +2046,2.0,6.0 +2047,0.0,3.0 +2048,4.0,2.0 +2049,0.0,5.0 +2050,1.0,4.0 +2051,0.0,4.0 +2052,1.0,3.0 +2053,2.0,2.0 +2054,3.0,2.0 +2055,0.0,1.0 +2056,0.0,3.0 +2057,2.0,8.0 +2058,0.0,4.0 +2059,0.0,5.0 +2060,1.0,2.0 +2061,0.0,1.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,0.0,1.0 +2065,2.0,4.0 +2066,2.0,5.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,1.0,1.0 +2070,6.0,5.0 +2071,1.0,6.0 +2072,1.0,3.0 +2073,1.0,1.0 +2074,2.0,6.0 +2075,1.0,5.0 +2076,1.0,4.0 +2077,3.0,2.0 +2078,1.0,4.0 +2079,2.0,2.0 +2080,0.0,5.0 +2081,0.0,5.0 +2082,0.0,4.0 +2083,2.0,7.0 +2084,1.0,6.0 +2085,2.0,2.0 +2086,2.0,4.0 +2087,0.0,5.0 +2088,2.0,4.0 +2089,2.0,5.0 +2090,4.0,5.0 +2091,1.0,7.0 +2092,3.0,2.0 +2093,1.0,3.0 +2094,6.0,2.0 +2095,3.0,4.0 +2096,1.0,4.0 +2097,4.0,1.0 +2098,1.0,6.0 +2099,1.0,2.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/586-peak+year_c.csv b/SurgeData/586-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/586-peak+year_c.csv rename to SurgeData/586-peak+year_c.csv diff --git a/SurgeData/N=1000/586-peak+year_w.csv b/SurgeData/586-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/586-peak+year_w.csv rename to SurgeData/586-peak+year_w.csv diff --git a/SurgeData/N=1000/586-peak_c.csv b/SurgeData/586-peak_c.csv similarity index 100% rename from SurgeData/N=1000/586-peak_c.csv rename to SurgeData/586-peak_c.csv diff --git a/SurgeData/N=1000/586-peak_w.csv b/SurgeData/586-peak_w.csv similarity index 100% rename from SurgeData/N=1000/586-peak_w.csv rename to SurgeData/586-peak_w.csv diff --git a/SurgeData/N=1000/586-surge_c.csv b/SurgeData/586-surge_c.csv similarity index 100% rename from SurgeData/N=1000/586-surge_c.csv rename to SurgeData/586-surge_c.csv diff --git a/SurgeData/N=1000/586-surge_w.csv b/SurgeData/586-surge_w.csv similarity index 100% rename from SurgeData/N=1000/586-surge_w.csv rename to SurgeData/586-surge_w.csv diff --git a/SurgeData/N=1000/586-time_c.csv b/SurgeData/586-time_c.csv similarity index 100% rename from SurgeData/N=1000/586-time_c.csv rename to SurgeData/586-time_c.csv diff --git a/SurgeData/N=1000/586-time_w.csv b/SurgeData/586-time_w.csv similarity index 100% rename from SurgeData/N=1000/586-time_w.csv rename to SurgeData/586-time_w.csv diff --git a/SurgeData/N=1000/586-waterlevel_c.csv b/SurgeData/586-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/586-waterlevel_c.csv rename to SurgeData/586-waterlevel_c.csv diff --git a/SurgeData/N=1000/586-waterlevel_w.csv b/SurgeData/586-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/586-waterlevel_w.csv rename to SurgeData/586-waterlevel_w.csv diff --git a/SurgeData/587-num_storm.csv b/SurgeData/587-num_storm.csv new file mode 100644 index 00000000..18132fbc --- /dev/null +++ b/SurgeData/587-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,4.0 +2022,1.0,3.0 +2023,1.0,6.0 +2024,2.0,3.0 +2025,1.0,2.0 +2026,0.0,1.0 +2027,1.0,3.0 +2028,0.0,6.0 +2029,2.0,6.0 +2030,2.0,3.0 +2031,2.0,4.0 +2032,3.0,7.0 +2033,1.0,3.0 +2034,2.0,4.0 +2035,1.0,2.0 +2036,1.0,6.0 +2037,2.0,7.0 +2038,1.0,3.0 +2039,2.0,3.0 +2040,1.0,5.0 +2041,4.0,1.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,1.0,4.0 +2045,0.0,1.0 +2046,2.0,3.0 +2047,2.0,2.0 +2048,3.0,1.0 +2049,1.0,4.0 +2050,3.0,1.0 +2051,3.0,2.0 +2052,0.0,3.0 +2053,3.0,7.0 +2054,2.0,4.0 +2055,2.0,4.0 +2056,0.0,3.0 +2057,2.0,6.0 +2058,3.0,4.0 +2059,1.0,3.0 +2060,1.0,5.0 +2061,0.0,6.0 +2062,0.0,0.0 +2063,2.0,4.0 +2064,0.0,5.0 +2065,1.0,1.0 +2066,1.0,6.0 +2067,0.0,3.0 +2068,1.0,5.0 +2069,3.0,4.0 +2070,1.0,5.0 +2071,2.0,9.0 +2072,0.0,5.0 +2073,0.0,3.0 +2074,4.0,3.0 +2075,2.0,4.0 +2076,1.0,5.0 +2077,2.0,4.0 +2078,2.0,3.0 +2079,0.0,2.0 +2080,3.0,2.0 +2081,0.0,8.0 +2082,1.0,2.0 +2083,1.0,11.0 +2084,1.0,5.0 +2085,1.0,2.0 +2086,1.0,3.0 +2087,0.0,3.0 +2088,1.0,4.0 +2089,1.0,5.0 +2090,1.0,1.0 +2091,0.0,1.0 +2092,1.0,4.0 +2093,1.0,3.0 +2094,0.0,2.0 +2095,1.0,3.0 +2096,0.0,4.0 +2097,3.0,5.0 +2098,1.0,4.0 +2099,2.0,7.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/587-peak+year_c.csv b/SurgeData/587-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/587-peak+year_c.csv rename to SurgeData/587-peak+year_c.csv diff --git a/SurgeData/N=1000/587-peak+year_w.csv b/SurgeData/587-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/587-peak+year_w.csv rename to SurgeData/587-peak+year_w.csv diff --git a/SurgeData/N=1000/587-peak_c.csv b/SurgeData/587-peak_c.csv similarity index 100% rename from SurgeData/N=1000/587-peak_c.csv rename to SurgeData/587-peak_c.csv diff --git a/SurgeData/N=1000/587-peak_w.csv b/SurgeData/587-peak_w.csv similarity index 100% rename from SurgeData/N=1000/587-peak_w.csv rename to SurgeData/587-peak_w.csv diff --git a/SurgeData/N=1000/587-surge_c.csv b/SurgeData/587-surge_c.csv similarity index 100% rename from SurgeData/N=1000/587-surge_c.csv rename to SurgeData/587-surge_c.csv diff --git a/SurgeData/N=1000/587-surge_w.csv b/SurgeData/587-surge_w.csv similarity index 100% rename from SurgeData/N=1000/587-surge_w.csv rename to SurgeData/587-surge_w.csv diff --git a/SurgeData/N=1000/587-time_c.csv b/SurgeData/587-time_c.csv similarity index 100% rename from SurgeData/N=1000/587-time_c.csv rename to SurgeData/587-time_c.csv diff --git a/SurgeData/N=1000/587-time_w.csv b/SurgeData/587-time_w.csv similarity index 100% rename from SurgeData/N=1000/587-time_w.csv rename to SurgeData/587-time_w.csv diff --git a/SurgeData/N=1000/587-waterlevel_c.csv b/SurgeData/587-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/587-waterlevel_c.csv rename to SurgeData/587-waterlevel_c.csv diff --git a/SurgeData/N=1000/587-waterlevel_w.csv b/SurgeData/587-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/587-waterlevel_w.csv rename to SurgeData/587-waterlevel_w.csv diff --git a/SurgeData/588-num_storm.csv b/SurgeData/588-num_storm.csv new file mode 100644 index 00000000..0b736659 --- /dev/null +++ b/SurgeData/588-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,4.0 +2022,2.0,2.0 +2023,2.0,2.0 +2024,4.0,2.0 +2025,2.0,4.0 +2026,2.0,7.0 +2027,0.0,4.0 +2028,2.0,5.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,1.0,3.0 +2032,1.0,4.0 +2033,1.0,3.0 +2034,1.0,3.0 +2035,3.0,3.0 +2036,0.0,4.0 +2037,1.0,5.0 +2038,1.0,3.0 +2039,4.0,6.0 +2040,1.0,4.0 +2041,3.0,4.0 +2042,2.0,5.0 +2043,3.0,7.0 +2044,4.0,6.0 +2045,3.0,8.0 +2046,2.0,4.0 +2047,3.0,5.0 +2048,2.0,4.0 +2049,0.0,2.0 +2050,4.0,7.0 +2051,1.0,2.0 +2052,5.0,6.0 +2053,2.0,7.0 +2054,1.0,4.0 +2055,6.0,3.0 +2056,3.0,7.0 +2057,0.0,9.0 +2058,0.0,5.0 +2059,0.0,1.0 +2060,2.0,5.0 +2061,4.0,5.0 +2062,3.0,2.0 +2063,2.0,4.0 +2064,0.0,5.0 +2065,3.0,5.0 +2066,1.0,1.0 +2067,3.0,11.0 +2068,1.0,4.0 +2069,1.0,4.0 +2070,2.0,3.0 +2071,2.0,5.0 +2072,0.0,1.0 +2073,0.0,3.0 +2074,2.0,4.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,2.0,2.0 +2078,4.0,3.0 +2079,1.0,4.0 +2080,1.0,3.0 +2081,4.0,7.0 +2082,1.0,6.0 +2083,3.0,5.0 +2084,1.0,2.0 +2085,0.0,3.0 +2086,1.0,3.0 +2087,0.0,3.0 +2088,1.0,4.0 +2089,3.0,4.0 +2090,1.0,2.0 +2091,2.0,3.0 +2092,2.0,4.0 +2093,2.0,5.0 +2094,1.0,4.0 +2095,2.0,5.0 +2096,2.0,8.0 +2097,2.0,9.0 +2098,1.0,5.0 +2099,2.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/588-peak+year_c.csv b/SurgeData/588-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/588-peak+year_c.csv rename to SurgeData/588-peak+year_c.csv diff --git a/SurgeData/N=1000/588-peak+year_w.csv b/SurgeData/588-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/588-peak+year_w.csv rename to SurgeData/588-peak+year_w.csv diff --git a/SurgeData/N=1000/588-peak_c.csv b/SurgeData/588-peak_c.csv similarity index 100% rename from SurgeData/N=1000/588-peak_c.csv rename to SurgeData/588-peak_c.csv diff --git a/SurgeData/N=1000/588-peak_w.csv b/SurgeData/588-peak_w.csv similarity index 100% rename from SurgeData/N=1000/588-peak_w.csv rename to SurgeData/588-peak_w.csv diff --git a/SurgeData/N=1000/588-surge_c.csv b/SurgeData/588-surge_c.csv similarity index 100% rename from SurgeData/N=1000/588-surge_c.csv rename to SurgeData/588-surge_c.csv diff --git a/SurgeData/N=1000/588-surge_w.csv b/SurgeData/588-surge_w.csv similarity index 100% rename from SurgeData/N=1000/588-surge_w.csv rename to SurgeData/588-surge_w.csv diff --git a/SurgeData/N=1000/588-time_c.csv b/SurgeData/588-time_c.csv similarity index 100% rename from SurgeData/N=1000/588-time_c.csv rename to SurgeData/588-time_c.csv diff --git a/SurgeData/N=1000/588-time_w.csv b/SurgeData/588-time_w.csv similarity index 100% rename from SurgeData/N=1000/588-time_w.csv rename to SurgeData/588-time_w.csv diff --git a/SurgeData/N=1000/588-waterlevel_c.csv b/SurgeData/588-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/588-waterlevel_c.csv rename to SurgeData/588-waterlevel_c.csv diff --git a/SurgeData/N=1000/588-waterlevel_w.csv b/SurgeData/588-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/588-waterlevel_w.csv rename to SurgeData/588-waterlevel_w.csv diff --git a/SurgeData/589-num_storm.csv b/SurgeData/589-num_storm.csv new file mode 100644 index 00000000..48bbff58 --- /dev/null +++ b/SurgeData/589-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,6.0 +2022,0.0,5.0 +2023,1.0,2.0 +2024,2.0,2.0 +2025,2.0,2.0 +2026,3.0,3.0 +2027,2.0,1.0 +2028,0.0,6.0 +2029,0.0,2.0 +2030,0.0,3.0 +2031,1.0,2.0 +2032,1.0,2.0 +2033,0.0,5.0 +2034,1.0,7.0 +2035,2.0,3.0 +2036,2.0,6.0 +2037,1.0,1.0 +2038,3.0,8.0 +2039,5.0,3.0 +2040,2.0,2.0 +2041,1.0,4.0 +2042,1.0,3.0 +2043,3.0,6.0 +2044,1.0,4.0 +2045,1.0,3.0 +2046,0.0,4.0 +2047,4.0,3.0 +2048,2.0,5.0 +2049,0.0,2.0 +2050,0.0,7.0 +2051,2.0,5.0 +2052,3.0,5.0 +2053,0.0,3.0 +2054,3.0,7.0 +2055,0.0,1.0 +2056,3.0,4.0 +2057,2.0,4.0 +2058,2.0,6.0 +2059,0.0,1.0 +2060,1.0,7.0 +2061,1.0,12.0 +2062,0.0,6.0 +2063,3.0,5.0 +2064,0.0,4.0 +2065,1.0,1.0 +2066,0.0,3.0 +2067,0.0,3.0 +2068,2.0,4.0 +2069,1.0,4.0 +2070,1.0,4.0 +2071,0.0,6.0 +2072,0.0,9.0 +2073,3.0,3.0 +2074,0.0,2.0 +2075,1.0,5.0 +2076,5.0,6.0 +2077,1.0,2.0 +2078,5.0,9.0 +2079,4.0,4.0 +2080,1.0,3.0 +2081,1.0,4.0 +2082,1.0,5.0 +2083,3.0,4.0 +2084,1.0,7.0 +2085,2.0,0.0 +2086,2.0,5.0 +2087,3.0,5.0 +2088,2.0,4.0 +2089,3.0,5.0 +2090,0.0,7.0 +2091,2.0,4.0 +2092,1.0,4.0 +2093,0.0,4.0 +2094,3.0,2.0 +2095,1.0,5.0 +2096,2.0,4.0 +2097,1.0,6.0 +2098,0.0,2.0 +2099,2.0,4.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/589-peak+year_c.csv b/SurgeData/589-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/589-peak+year_c.csv rename to SurgeData/589-peak+year_c.csv diff --git a/SurgeData/N=1000/589-peak+year_w.csv b/SurgeData/589-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/589-peak+year_w.csv rename to SurgeData/589-peak+year_w.csv diff --git a/SurgeData/N=1000/589-peak_c.csv b/SurgeData/589-peak_c.csv similarity index 100% rename from SurgeData/N=1000/589-peak_c.csv rename to SurgeData/589-peak_c.csv diff --git a/SurgeData/N=1000/589-peak_w.csv b/SurgeData/589-peak_w.csv similarity index 100% rename from SurgeData/N=1000/589-peak_w.csv rename to SurgeData/589-peak_w.csv diff --git a/SurgeData/N=1000/589-surge_c.csv b/SurgeData/589-surge_c.csv similarity index 100% rename from SurgeData/N=1000/589-surge_c.csv rename to SurgeData/589-surge_c.csv diff --git a/SurgeData/N=1000/589-surge_w.csv b/SurgeData/589-surge_w.csv similarity index 100% rename from SurgeData/N=1000/589-surge_w.csv rename to SurgeData/589-surge_w.csv diff --git a/SurgeData/N=1000/589-time_c.csv b/SurgeData/589-time_c.csv similarity index 100% rename from SurgeData/N=1000/589-time_c.csv rename to SurgeData/589-time_c.csv diff --git a/SurgeData/N=1000/589-time_w.csv b/SurgeData/589-time_w.csv similarity index 100% rename from SurgeData/N=1000/589-time_w.csv rename to SurgeData/589-time_w.csv diff --git a/SurgeData/N=1000/589-waterlevel_c.csv b/SurgeData/589-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/589-waterlevel_c.csv rename to SurgeData/589-waterlevel_c.csv diff --git a/SurgeData/N=1000/589-waterlevel_w.csv b/SurgeData/589-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/589-waterlevel_w.csv rename to SurgeData/589-waterlevel_w.csv diff --git a/SurgeData/59-num_storm.csv b/SurgeData/59-num_storm.csv new file mode 100644 index 00000000..1151cbed --- /dev/null +++ b/SurgeData/59-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,6.0 +2022,4.0,6.0 +2023,1.0,3.0 +2024,1.0,3.0 +2025,0.0,10.0 +2026,2.0,5.0 +2027,1.0,6.0 +2028,3.0,4.0 +2029,1.0,6.0 +2030,2.0,5.0 +2031,3.0,7.0 +2032,0.0,2.0 +2033,0.0,5.0 +2034,2.0,4.0 +2035,2.0,1.0 +2036,1.0,6.0 +2037,2.0,3.0 +2038,0.0,4.0 +2039,3.0,2.0 +2040,0.0,5.0 +2041,1.0,5.0 +2042,2.0,6.0 +2043,2.0,6.0 +2044,1.0,4.0 +2045,0.0,8.0 +2046,1.0,2.0 +2047,2.0,3.0 +2048,3.0,4.0 +2049,0.0,2.0 +2050,1.0,7.0 +2051,2.0,5.0 +2052,0.0,4.0 +2053,0.0,3.0 +2054,3.0,5.0 +2055,3.0,3.0 +2056,2.0,4.0 +2057,2.0,1.0 +2058,1.0,1.0 +2059,2.0,2.0 +2060,1.0,3.0 +2061,4.0,3.0 +2062,2.0,1.0 +2063,2.0,2.0 +2064,0.0,4.0 +2065,3.0,3.0 +2066,0.0,1.0 +2067,1.0,3.0 +2068,2.0,4.0 +2069,3.0,3.0 +2070,2.0,2.0 +2071,2.0,4.0 +2072,1.0,4.0 +2073,2.0,6.0 +2074,1.0,2.0 +2075,2.0,4.0 +2076,0.0,3.0 +2077,4.0,1.0 +2078,4.0,2.0 +2079,0.0,3.0 +2080,1.0,3.0 +2081,2.0,3.0 +2082,2.0,1.0 +2083,1.0,2.0 +2084,1.0,2.0 +2085,2.0,5.0 +2086,3.0,5.0 +2087,1.0,6.0 +2088,1.0,4.0 +2089,0.0,1.0 +2090,3.0,4.0 +2091,2.0,3.0 +2092,0.0,6.0 +2093,3.0,5.0 +2094,3.0,4.0 +2095,3.0,4.0 +2096,1.0,2.0 +2097,1.0,5.0 +2098,1.0,3.0 +2099,2.0,6.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/59-peak+year_c.csv b/SurgeData/59-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/59-peak+year_c.csv rename to SurgeData/59-peak+year_c.csv diff --git a/SurgeData/N=1000/59-peak+year_w.csv b/SurgeData/59-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/59-peak+year_w.csv rename to SurgeData/59-peak+year_w.csv diff --git a/SurgeData/N=1000/59-peak_c.csv b/SurgeData/59-peak_c.csv similarity index 100% rename from SurgeData/N=1000/59-peak_c.csv rename to SurgeData/59-peak_c.csv diff --git a/SurgeData/N=1000/59-peak_w.csv b/SurgeData/59-peak_w.csv similarity index 100% rename from SurgeData/N=1000/59-peak_w.csv rename to SurgeData/59-peak_w.csv diff --git a/SurgeData/N=1000/59-surge_c.csv b/SurgeData/59-surge_c.csv similarity index 100% rename from SurgeData/N=1000/59-surge_c.csv rename to SurgeData/59-surge_c.csv diff --git a/SurgeData/N=1000/59-surge_w.csv b/SurgeData/59-surge_w.csv similarity index 100% rename from SurgeData/N=1000/59-surge_w.csv rename to SurgeData/59-surge_w.csv diff --git a/SurgeData/N=1000/59-time_c.csv b/SurgeData/59-time_c.csv similarity index 100% rename from SurgeData/N=1000/59-time_c.csv rename to SurgeData/59-time_c.csv diff --git a/SurgeData/N=1000/59-time_w.csv b/SurgeData/59-time_w.csv similarity index 100% rename from SurgeData/N=1000/59-time_w.csv rename to SurgeData/59-time_w.csv diff --git a/SurgeData/N=1000/59-waterlevel_c.csv b/SurgeData/59-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/59-waterlevel_c.csv rename to SurgeData/59-waterlevel_c.csv diff --git a/SurgeData/N=1000/59-waterlevel_w.csv b/SurgeData/59-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/59-waterlevel_w.csv rename to SurgeData/59-waterlevel_w.csv diff --git a/SurgeData/590-num_storm.csv b/SurgeData/590-num_storm.csv new file mode 100644 index 00000000..612c7e88 --- /dev/null +++ b/SurgeData/590-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,0.0,6.0 +2022,1.0,3.0 +2023,2.0,2.0 +2024,0.0,6.0 +2025,1.0,3.0 +2026,2.0,6.0 +2027,1.0,2.0 +2028,0.0,3.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,2.0,3.0 +2032,1.0,7.0 +2033,3.0,7.0 +2034,1.0,4.0 +2035,2.0,10.0 +2036,3.0,4.0 +2037,3.0,4.0 +2038,0.0,4.0 +2039,1.0,6.0 +2040,1.0,2.0 +2041,0.0,3.0 +2042,1.0,6.0 +2043,1.0,7.0 +2044,2.0,1.0 +2045,3.0,2.0 +2046,3.0,6.0 +2047,1.0,4.0 +2048,5.0,2.0 +2049,1.0,3.0 +2050,4.0,3.0 +2051,2.0,3.0 +2052,3.0,2.0 +2053,0.0,4.0 +2054,3.0,8.0 +2055,1.0,4.0 +2056,0.0,5.0 +2057,2.0,6.0 +2058,3.0,3.0 +2059,2.0,5.0 +2060,1.0,4.0 +2061,2.0,2.0 +2062,3.0,6.0 +2063,1.0,1.0 +2064,2.0,13.0 +2065,1.0,5.0 +2066,2.0,3.0 +2067,0.0,4.0 +2068,1.0,1.0 +2069,1.0,2.0 +2070,2.0,8.0 +2071,1.0,2.0 +2072,2.0,3.0 +2073,3.0,5.0 +2074,1.0,2.0 +2075,1.0,4.0 +2076,5.0,3.0 +2077,0.0,7.0 +2078,2.0,1.0 +2079,0.0,2.0 +2080,2.0,3.0 +2081,3.0,1.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,2.0,7.0 +2085,3.0,1.0 +2086,0.0,3.0 +2087,0.0,5.0 +2088,1.0,5.0 +2089,2.0,5.0 +2090,2.0,9.0 +2091,2.0,3.0 +2092,1.0,6.0 +2093,1.0,6.0 +2094,1.0,7.0 +2095,3.0,3.0 +2096,0.0,3.0 +2097,1.0,3.0 +2098,3.0,1.0 +2099,1.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/590-peak+year_c.csv b/SurgeData/590-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/590-peak+year_c.csv rename to SurgeData/590-peak+year_c.csv diff --git a/SurgeData/N=1000/590-peak+year_w.csv b/SurgeData/590-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/590-peak+year_w.csv rename to SurgeData/590-peak+year_w.csv diff --git a/SurgeData/N=1000/590-peak_c.csv b/SurgeData/590-peak_c.csv similarity index 100% rename from SurgeData/N=1000/590-peak_c.csv rename to SurgeData/590-peak_c.csv diff --git a/SurgeData/N=1000/590-peak_w.csv b/SurgeData/590-peak_w.csv similarity index 100% rename from SurgeData/N=1000/590-peak_w.csv rename to SurgeData/590-peak_w.csv diff --git a/SurgeData/N=1000/590-surge_c.csv b/SurgeData/590-surge_c.csv similarity index 100% rename from SurgeData/N=1000/590-surge_c.csv rename to SurgeData/590-surge_c.csv diff --git a/SurgeData/N=1000/590-surge_w.csv b/SurgeData/590-surge_w.csv similarity index 100% rename from SurgeData/N=1000/590-surge_w.csv rename to SurgeData/590-surge_w.csv diff --git a/SurgeData/N=1000/590-time_c.csv b/SurgeData/590-time_c.csv similarity index 100% rename from SurgeData/N=1000/590-time_c.csv rename to SurgeData/590-time_c.csv diff --git a/SurgeData/N=1000/590-time_w.csv b/SurgeData/590-time_w.csv similarity index 100% rename from SurgeData/N=1000/590-time_w.csv rename to SurgeData/590-time_w.csv diff --git a/SurgeData/N=1000/590-waterlevel_c.csv b/SurgeData/590-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/590-waterlevel_c.csv rename to SurgeData/590-waterlevel_c.csv diff --git a/SurgeData/N=1000/590-waterlevel_w.csv b/SurgeData/590-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/590-waterlevel_w.csv rename to SurgeData/590-waterlevel_w.csv diff --git a/SurgeData/N=1000/591-peak+year_c.csv b/SurgeData/591-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/591-peak+year_c.csv rename to SurgeData/591-peak+year_c.csv diff --git a/SurgeData/N=1000/591-peak+year_w.csv b/SurgeData/591-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/591-peak+year_w.csv rename to SurgeData/591-peak+year_w.csv diff --git a/SurgeData/N=1000/591-peak_c.csv b/SurgeData/591-peak_c.csv similarity index 100% rename from SurgeData/N=1000/591-peak_c.csv rename to SurgeData/591-peak_c.csv diff --git a/SurgeData/N=1000/591-peak_w.csv b/SurgeData/591-peak_w.csv similarity index 100% rename from SurgeData/N=1000/591-peak_w.csv rename to SurgeData/591-peak_w.csv diff --git a/SurgeData/N=1000/591-surge_c.csv b/SurgeData/591-surge_c.csv similarity index 100% rename from SurgeData/N=1000/591-surge_c.csv rename to SurgeData/591-surge_c.csv diff --git a/SurgeData/N=1000/591-surge_w.csv b/SurgeData/591-surge_w.csv similarity index 100% rename from SurgeData/N=1000/591-surge_w.csv rename to SurgeData/591-surge_w.csv diff --git a/SurgeData/N=1000/591-time_c.csv b/SurgeData/591-time_c.csv similarity index 100% rename from SurgeData/N=1000/591-time_c.csv rename to SurgeData/591-time_c.csv diff --git a/SurgeData/N=1000/591-time_w.csv b/SurgeData/591-time_w.csv similarity index 100% rename from SurgeData/N=1000/591-time_w.csv rename to SurgeData/591-time_w.csv diff --git a/SurgeData/N=1000/591-waterlevel_c.csv b/SurgeData/591-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/591-waterlevel_c.csv rename to SurgeData/591-waterlevel_c.csv diff --git a/SurgeData/N=1000/591-waterlevel_w.csv b/SurgeData/591-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/591-waterlevel_w.csv rename to SurgeData/591-waterlevel_w.csv diff --git a/SurgeData/592-num_storm.csv b/SurgeData/592-num_storm.csv new file mode 100644 index 00000000..37a049bf --- /dev/null +++ b/SurgeData/592-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,9.0 +2021,2.0,3.0 +2022,0.0,8.0 +2023,1.0,1.0 +2024,1.0,7.0 +2025,1.0,1.0 +2026,1.0,3.0 +2027,1.0,8.0 +2028,0.0,3.0 +2029,2.0,6.0 +2030,0.0,4.0 +2031,2.0,6.0 +2032,3.0,4.0 +2033,0.0,4.0 +2034,1.0,7.0 +2035,0.0,4.0 +2036,1.0,8.0 +2037,1.0,2.0 +2038,1.0,4.0 +2039,1.0,4.0 +2040,0.0,3.0 +2041,1.0,6.0 +2042,2.0,3.0 +2043,0.0,4.0 +2044,2.0,5.0 +2045,0.0,5.0 +2046,0.0,4.0 +2047,1.0,5.0 +2048,2.0,3.0 +2049,1.0,2.0 +2050,1.0,3.0 +2051,3.0,6.0 +2052,2.0,1.0 +2053,1.0,4.0 +2054,1.0,5.0 +2055,1.0,6.0 +2056,0.0,0.0 +2057,0.0,4.0 +2058,4.0,0.0 +2059,1.0,6.0 +2060,3.0,2.0 +2061,3.0,4.0 +2062,3.0,3.0 +2063,1.0,2.0 +2064,1.0,7.0 +2065,1.0,6.0 +2066,0.0,2.0 +2067,3.0,6.0 +2068,0.0,6.0 +2069,0.0,3.0 +2070,2.0,3.0 +2071,2.0,5.0 +2072,0.0,4.0 +2073,2.0,4.0 +2074,0.0,1.0 +2075,0.0,8.0 +2076,1.0,5.0 +2077,0.0,0.0 +2078,1.0,4.0 +2079,3.0,4.0 +2080,0.0,3.0 +2081,3.0,3.0 +2082,5.0,0.0 +2083,1.0,4.0 +2084,2.0,1.0 +2085,0.0,8.0 +2086,2.0,3.0 +2087,3.0,4.0 +2088,2.0,8.0 +2089,0.0,3.0 +2090,0.0,7.0 +2091,0.0,5.0 +2092,3.0,5.0 +2093,4.0,6.0 +2094,2.0,4.0 +2095,0.0,6.0 +2096,1.0,5.0 +2097,0.0,2.0 +2098,1.0,5.0 +2099,1.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/592-peak+year_c.csv b/SurgeData/592-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/592-peak+year_c.csv rename to SurgeData/592-peak+year_c.csv diff --git a/SurgeData/N=1000/592-peak+year_w.csv b/SurgeData/592-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/592-peak+year_w.csv rename to SurgeData/592-peak+year_w.csv diff --git a/SurgeData/N=1000/592-peak_c.csv b/SurgeData/592-peak_c.csv similarity index 100% rename from SurgeData/N=1000/592-peak_c.csv rename to SurgeData/592-peak_c.csv diff --git a/SurgeData/N=1000/592-peak_w.csv b/SurgeData/592-peak_w.csv similarity index 100% rename from SurgeData/N=1000/592-peak_w.csv rename to SurgeData/592-peak_w.csv diff --git a/SurgeData/N=1000/592-surge_c.csv b/SurgeData/592-surge_c.csv similarity index 100% rename from SurgeData/N=1000/592-surge_c.csv rename to SurgeData/592-surge_c.csv diff --git a/SurgeData/N=1000/592-surge_w.csv b/SurgeData/592-surge_w.csv similarity index 100% rename from SurgeData/N=1000/592-surge_w.csv rename to SurgeData/592-surge_w.csv diff --git a/SurgeData/N=1000/592-time_c.csv b/SurgeData/592-time_c.csv similarity index 100% rename from SurgeData/N=1000/592-time_c.csv rename to SurgeData/592-time_c.csv diff --git a/SurgeData/N=1000/592-time_w.csv b/SurgeData/592-time_w.csv similarity index 100% rename from SurgeData/N=1000/592-time_w.csv rename to SurgeData/592-time_w.csv diff --git a/SurgeData/N=1000/592-waterlevel_c.csv b/SurgeData/592-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/592-waterlevel_c.csv rename to SurgeData/592-waterlevel_c.csv diff --git a/SurgeData/N=1000/592-waterlevel_w.csv b/SurgeData/592-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/592-waterlevel_w.csv rename to SurgeData/592-waterlevel_w.csv diff --git a/SurgeData/593-num_storm.csv b/SurgeData/593-num_storm.csv new file mode 100644 index 00000000..0f19631b --- /dev/null +++ b/SurgeData/593-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,1.0,4.0 +2022,2.0,4.0 +2023,1.0,5.0 +2024,4.0,6.0 +2025,3.0,8.0 +2026,1.0,4.0 +2027,0.0,10.0 +2028,1.0,2.0 +2029,0.0,1.0 +2030,1.0,4.0 +2031,3.0,7.0 +2032,1.0,1.0 +2033,3.0,4.0 +2034,1.0,4.0 +2035,1.0,3.0 +2036,4.0,5.0 +2037,4.0,3.0 +2038,3.0,2.0 +2039,0.0,2.0 +2040,1.0,4.0 +2041,3.0,3.0 +2042,1.0,3.0 +2043,0.0,3.0 +2044,0.0,7.0 +2045,0.0,5.0 +2046,1.0,4.0 +2047,2.0,2.0 +2048,0.0,6.0 +2049,1.0,6.0 +2050,1.0,10.0 +2051,5.0,4.0 +2052,2.0,3.0 +2053,2.0,4.0 +2054,0.0,6.0 +2055,0.0,5.0 +2056,2.0,0.0 +2057,4.0,3.0 +2058,0.0,5.0 +2059,2.0,0.0 +2060,2.0,2.0 +2061,1.0,1.0 +2062,1.0,4.0 +2063,2.0,3.0 +2064,2.0,0.0 +2065,2.0,5.0 +2066,1.0,2.0 +2067,1.0,5.0 +2068,2.0,4.0 +2069,1.0,1.0 +2070,1.0,5.0 +2071,2.0,1.0 +2072,3.0,2.0 +2073,2.0,4.0 +2074,0.0,5.0 +2075,2.0,3.0 +2076,1.0,7.0 +2077,1.0,6.0 +2078,1.0,5.0 +2079,2.0,0.0 +2080,1.0,1.0 +2081,1.0,4.0 +2082,1.0,4.0 +2083,2.0,6.0 +2084,0.0,1.0 +2085,4.0,2.0 +2086,3.0,3.0 +2087,0.0,3.0 +2088,1.0,4.0 +2089,1.0,6.0 +2090,0.0,3.0 +2091,1.0,5.0 +2092,2.0,4.0 +2093,3.0,4.0 +2094,0.0,3.0 +2095,1.0,5.0 +2096,2.0,2.0 +2097,2.0,4.0 +2098,2.0,5.0 +2099,1.0,4.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/593-peak+year_c.csv b/SurgeData/593-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/593-peak+year_c.csv rename to SurgeData/593-peak+year_c.csv diff --git a/SurgeData/N=1000/593-peak+year_w.csv b/SurgeData/593-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/593-peak+year_w.csv rename to SurgeData/593-peak+year_w.csv diff --git a/SurgeData/N=1000/593-peak_c.csv b/SurgeData/593-peak_c.csv similarity index 100% rename from SurgeData/N=1000/593-peak_c.csv rename to SurgeData/593-peak_c.csv diff --git a/SurgeData/N=1000/593-peak_w.csv b/SurgeData/593-peak_w.csv similarity index 100% rename from SurgeData/N=1000/593-peak_w.csv rename to SurgeData/593-peak_w.csv diff --git a/SurgeData/N=1000/593-surge_c.csv b/SurgeData/593-surge_c.csv similarity index 100% rename from SurgeData/N=1000/593-surge_c.csv rename to SurgeData/593-surge_c.csv diff --git a/SurgeData/N=1000/593-surge_w.csv b/SurgeData/593-surge_w.csv similarity index 100% rename from SurgeData/N=1000/593-surge_w.csv rename to SurgeData/593-surge_w.csv diff --git a/SurgeData/N=1000/593-time_c.csv b/SurgeData/593-time_c.csv similarity index 100% rename from SurgeData/N=1000/593-time_c.csv rename to SurgeData/593-time_c.csv diff --git a/SurgeData/N=1000/593-time_w.csv b/SurgeData/593-time_w.csv similarity index 100% rename from SurgeData/N=1000/593-time_w.csv rename to SurgeData/593-time_w.csv diff --git a/SurgeData/N=1000/593-waterlevel_c.csv b/SurgeData/593-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/593-waterlevel_c.csv rename to SurgeData/593-waterlevel_c.csv diff --git a/SurgeData/N=1000/593-waterlevel_w.csv b/SurgeData/593-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/593-waterlevel_w.csv rename to SurgeData/593-waterlevel_w.csv diff --git a/SurgeData/N=1000/594-peak+year_c.csv b/SurgeData/594-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/594-peak+year_c.csv rename to SurgeData/594-peak+year_c.csv diff --git a/SurgeData/N=1000/594-peak+year_w.csv b/SurgeData/594-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/594-peak+year_w.csv rename to SurgeData/594-peak+year_w.csv diff --git a/SurgeData/N=1000/594-peak_c.csv b/SurgeData/594-peak_c.csv similarity index 100% rename from SurgeData/N=1000/594-peak_c.csv rename to SurgeData/594-peak_c.csv diff --git a/SurgeData/N=1000/594-peak_w.csv b/SurgeData/594-peak_w.csv similarity index 100% rename from SurgeData/N=1000/594-peak_w.csv rename to SurgeData/594-peak_w.csv diff --git a/SurgeData/N=1000/594-surge_c.csv b/SurgeData/594-surge_c.csv similarity index 100% rename from SurgeData/N=1000/594-surge_c.csv rename to SurgeData/594-surge_c.csv diff --git a/SurgeData/N=1000/594-surge_w.csv b/SurgeData/594-surge_w.csv similarity index 100% rename from SurgeData/N=1000/594-surge_w.csv rename to SurgeData/594-surge_w.csv diff --git a/SurgeData/N=1000/594-time_c.csv b/SurgeData/594-time_c.csv similarity index 100% rename from SurgeData/N=1000/594-time_c.csv rename to SurgeData/594-time_c.csv diff --git a/SurgeData/N=1000/594-time_w.csv b/SurgeData/594-time_w.csv similarity index 100% rename from SurgeData/N=1000/594-time_w.csv rename to SurgeData/594-time_w.csv diff --git a/SurgeData/N=1000/594-waterlevel_c.csv b/SurgeData/594-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/594-waterlevel_c.csv rename to SurgeData/594-waterlevel_c.csv diff --git a/SurgeData/N=1000/594-waterlevel_w.csv b/SurgeData/594-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/594-waterlevel_w.csv rename to SurgeData/594-waterlevel_w.csv diff --git a/SurgeData/595-num_storm.csv b/SurgeData/595-num_storm.csv new file mode 100644 index 00000000..0ac57cd0 --- /dev/null +++ b/SurgeData/595-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,4.0 +2022,3.0,4.0 +2023,2.0,5.0 +2024,2.0,6.0 +2025,0.0,5.0 +2026,1.0,3.0 +2027,2.0,6.0 +2028,1.0,3.0 +2029,2.0,6.0 +2030,2.0,3.0 +2031,1.0,7.0 +2032,1.0,8.0 +2033,0.0,3.0 +2034,2.0,2.0 +2035,3.0,1.0 +2036,0.0,8.0 +2037,2.0,4.0 +2038,1.0,8.0 +2039,0.0,3.0 +2040,3.0,4.0 +2041,0.0,9.0 +2042,0.0,6.0 +2043,3.0,8.0 +2044,1.0,3.0 +2045,0.0,2.0 +2046,0.0,5.0 +2047,0.0,7.0 +2048,1.0,0.0 +2049,3.0,3.0 +2050,0.0,1.0 +2051,2.0,3.0 +2052,0.0,1.0 +2053,1.0,3.0 +2054,0.0,3.0 +2055,3.0,3.0 +2056,2.0,4.0 +2057,0.0,3.0 +2058,1.0,5.0 +2059,2.0,8.0 +2060,3.0,6.0 +2061,1.0,5.0 +2062,3.0,2.0 +2063,1.0,5.0 +2064,3.0,6.0 +2065,3.0,4.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,3.0,2.0 +2069,1.0,0.0 +2070,5.0,2.0 +2071,2.0,5.0 +2072,0.0,6.0 +2073,3.0,7.0 +2074,0.0,6.0 +2075,1.0,4.0 +2076,3.0,5.0 +2077,1.0,3.0 +2078,1.0,3.0 +2079,2.0,2.0 +2080,0.0,7.0 +2081,3.0,9.0 +2082,3.0,3.0 +2083,3.0,3.0 +2084,1.0,6.0 +2085,1.0,3.0 +2086,2.0,5.0 +2087,2.0,6.0 +2088,1.0,8.0 +2089,1.0,4.0 +2090,1.0,8.0 +2091,2.0,5.0 +2092,2.0,3.0 +2093,0.0,2.0 +2094,3.0,4.0 +2095,0.0,5.0 +2096,0.0,3.0 +2097,2.0,6.0 +2098,4.0,9.0 +2099,3.0,6.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/595-peak+year_c.csv b/SurgeData/595-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/595-peak+year_c.csv rename to SurgeData/595-peak+year_c.csv diff --git a/SurgeData/N=1000/595-peak+year_w.csv b/SurgeData/595-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/595-peak+year_w.csv rename to SurgeData/595-peak+year_w.csv diff --git a/SurgeData/N=1000/595-peak_c.csv b/SurgeData/595-peak_c.csv similarity index 100% rename from SurgeData/N=1000/595-peak_c.csv rename to SurgeData/595-peak_c.csv diff --git a/SurgeData/N=1000/595-peak_w.csv b/SurgeData/595-peak_w.csv similarity index 100% rename from SurgeData/N=1000/595-peak_w.csv rename to SurgeData/595-peak_w.csv diff --git a/SurgeData/N=1000/595-surge_c.csv b/SurgeData/595-surge_c.csv similarity index 100% rename from SurgeData/N=1000/595-surge_c.csv rename to SurgeData/595-surge_c.csv diff --git a/SurgeData/N=1000/595-surge_w.csv b/SurgeData/595-surge_w.csv similarity index 100% rename from SurgeData/N=1000/595-surge_w.csv rename to SurgeData/595-surge_w.csv diff --git a/SurgeData/N=1000/595-time_c.csv b/SurgeData/595-time_c.csv similarity index 100% rename from SurgeData/N=1000/595-time_c.csv rename to SurgeData/595-time_c.csv diff --git a/SurgeData/N=1000/595-time_w.csv b/SurgeData/595-time_w.csv similarity index 100% rename from SurgeData/N=1000/595-time_w.csv rename to SurgeData/595-time_w.csv diff --git a/SurgeData/N=1000/595-waterlevel_c.csv b/SurgeData/595-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/595-waterlevel_c.csv rename to SurgeData/595-waterlevel_c.csv diff --git a/SurgeData/N=1000/595-waterlevel_w.csv b/SurgeData/595-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/595-waterlevel_w.csv rename to SurgeData/595-waterlevel_w.csv diff --git a/SurgeData/596-num_storm.csv b/SurgeData/596-num_storm.csv new file mode 100644 index 00000000..d62a9b09 --- /dev/null +++ b/SurgeData/596-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,5.0,6.0 +2022,0.0,4.0 +2023,2.0,3.0 +2024,1.0,5.0 +2025,0.0,3.0 +2026,1.0,8.0 +2027,0.0,4.0 +2028,1.0,0.0 +2029,3.0,4.0 +2030,1.0,6.0 +2031,1.0,4.0 +2032,0.0,2.0 +2033,1.0,5.0 +2034,4.0,7.0 +2035,2.0,5.0 +2036,2.0,6.0 +2037,4.0,3.0 +2038,0.0,4.0 +2039,1.0,5.0 +2040,2.0,3.0 +2041,2.0,4.0 +2042,2.0,8.0 +2043,1.0,2.0 +2044,1.0,5.0 +2045,1.0,9.0 +2046,0.0,4.0 +2047,1.0,2.0 +2048,1.0,9.0 +2049,1.0,6.0 +2050,2.0,4.0 +2051,2.0,4.0 +2052,0.0,4.0 +2053,2.0,6.0 +2054,2.0,4.0 +2055,1.0,2.0 +2056,0.0,1.0 +2057,0.0,3.0 +2058,1.0,4.0 +2059,3.0,2.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,1.0,2.0 +2063,1.0,2.0 +2064,2.0,6.0 +2065,2.0,4.0 +2066,0.0,2.0 +2067,3.0,3.0 +2068,4.0,2.0 +2069,0.0,4.0 +2070,2.0,4.0 +2071,3.0,3.0 +2072,1.0,3.0 +2073,2.0,6.0 +2074,2.0,7.0 +2075,1.0,5.0 +2076,3.0,2.0 +2077,2.0,2.0 +2078,3.0,8.0 +2079,2.0,3.0 +2080,1.0,6.0 +2081,1.0,4.0 +2082,0.0,5.0 +2083,2.0,6.0 +2084,0.0,5.0 +2085,2.0,2.0 +2086,4.0,4.0 +2087,1.0,3.0 +2088,2.0,7.0 +2089,1.0,3.0 +2090,0.0,4.0 +2091,0.0,4.0 +2092,2.0,2.0 +2093,1.0,4.0 +2094,3.0,4.0 +2095,2.0,5.0 +2096,1.0,5.0 +2097,2.0,3.0 +2098,0.0,3.0 +2099,2.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/596-peak+year_c.csv b/SurgeData/596-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/596-peak+year_c.csv rename to SurgeData/596-peak+year_c.csv diff --git a/SurgeData/N=1000/596-peak+year_w.csv b/SurgeData/596-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/596-peak+year_w.csv rename to SurgeData/596-peak+year_w.csv diff --git a/SurgeData/N=1000/596-peak_c.csv b/SurgeData/596-peak_c.csv similarity index 100% rename from SurgeData/N=1000/596-peak_c.csv rename to SurgeData/596-peak_c.csv diff --git a/SurgeData/N=1000/596-peak_w.csv b/SurgeData/596-peak_w.csv similarity index 100% rename from SurgeData/N=1000/596-peak_w.csv rename to SurgeData/596-peak_w.csv diff --git a/SurgeData/N=1000/596-surge_c.csv b/SurgeData/596-surge_c.csv similarity index 100% rename from SurgeData/N=1000/596-surge_c.csv rename to SurgeData/596-surge_c.csv diff --git a/SurgeData/N=1000/596-surge_w.csv b/SurgeData/596-surge_w.csv similarity index 100% rename from SurgeData/N=1000/596-surge_w.csv rename to SurgeData/596-surge_w.csv diff --git a/SurgeData/N=1000/596-time_c.csv b/SurgeData/596-time_c.csv similarity index 100% rename from SurgeData/N=1000/596-time_c.csv rename to SurgeData/596-time_c.csv diff --git a/SurgeData/N=1000/596-time_w.csv b/SurgeData/596-time_w.csv similarity index 100% rename from SurgeData/N=1000/596-time_w.csv rename to SurgeData/596-time_w.csv diff --git a/SurgeData/N=1000/596-waterlevel_c.csv b/SurgeData/596-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/596-waterlevel_c.csv rename to SurgeData/596-waterlevel_c.csv diff --git a/SurgeData/N=1000/596-waterlevel_w.csv b/SurgeData/596-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/596-waterlevel_w.csv rename to SurgeData/596-waterlevel_w.csv diff --git a/SurgeData/597-num_storm.csv b/SurgeData/597-num_storm.csv new file mode 100644 index 00000000..739c595a --- /dev/null +++ b/SurgeData/597-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,4.0 +2022,1.0,3.0 +2023,1.0,8.0 +2024,0.0,1.0 +2025,3.0,2.0 +2026,5.0,4.0 +2027,0.0,1.0 +2028,0.0,4.0 +2029,0.0,9.0 +2030,1.0,4.0 +2031,0.0,4.0 +2032,1.0,7.0 +2033,2.0,6.0 +2034,0.0,3.0 +2035,2.0,6.0 +2036,1.0,7.0 +2037,2.0,5.0 +2038,2.0,1.0 +2039,2.0,3.0 +2040,3.0,2.0 +2041,3.0,2.0 +2042,1.0,3.0 +2043,3.0,1.0 +2044,3.0,4.0 +2045,0.0,1.0 +2046,0.0,5.0 +2047,0.0,4.0 +2048,2.0,4.0 +2049,3.0,6.0 +2050,4.0,1.0 +2051,1.0,3.0 +2052,2.0,2.0 +2053,2.0,2.0 +2054,3.0,6.0 +2055,1.0,4.0 +2056,0.0,2.0 +2057,0.0,6.0 +2058,1.0,2.0 +2059,0.0,4.0 +2060,1.0,5.0 +2061,1.0,4.0 +2062,1.0,6.0 +2063,2.0,6.0 +2064,2.0,4.0 +2065,4.0,7.0 +2066,0.0,3.0 +2067,2.0,6.0 +2068,2.0,4.0 +2069,1.0,6.0 +2070,0.0,5.0 +2071,4.0,7.0 +2072,2.0,6.0 +2073,3.0,5.0 +2074,2.0,4.0 +2075,4.0,3.0 +2076,2.0,2.0 +2077,3.0,3.0 +2078,0.0,3.0 +2079,1.0,8.0 +2080,2.0,5.0 +2081,0.0,1.0 +2082,1.0,3.0 +2083,4.0,4.0 +2084,1.0,2.0 +2085,1.0,5.0 +2086,1.0,3.0 +2087,0.0,2.0 +2088,2.0,7.0 +2089,0.0,1.0 +2090,0.0,3.0 +2091,2.0,2.0 +2092,2.0,3.0 +2093,1.0,5.0 +2094,0.0,2.0 +2095,2.0,3.0 +2096,2.0,1.0 +2097,2.0,6.0 +2098,2.0,3.0 +2099,1.0,3.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/597-peak+year_c.csv b/SurgeData/597-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/597-peak+year_c.csv rename to SurgeData/597-peak+year_c.csv diff --git a/SurgeData/N=1000/597-peak+year_w.csv b/SurgeData/597-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/597-peak+year_w.csv rename to SurgeData/597-peak+year_w.csv diff --git a/SurgeData/N=1000/597-peak_c.csv b/SurgeData/597-peak_c.csv similarity index 100% rename from SurgeData/N=1000/597-peak_c.csv rename to SurgeData/597-peak_c.csv diff --git a/SurgeData/N=1000/597-peak_w.csv b/SurgeData/597-peak_w.csv similarity index 100% rename from SurgeData/N=1000/597-peak_w.csv rename to SurgeData/597-peak_w.csv diff --git a/SurgeData/N=1000/597-surge_c.csv b/SurgeData/597-surge_c.csv similarity index 100% rename from SurgeData/N=1000/597-surge_c.csv rename to SurgeData/597-surge_c.csv diff --git a/SurgeData/N=1000/597-surge_w.csv b/SurgeData/597-surge_w.csv similarity index 100% rename from SurgeData/N=1000/597-surge_w.csv rename to SurgeData/597-surge_w.csv diff --git a/SurgeData/N=1000/597-time_c.csv b/SurgeData/597-time_c.csv similarity index 100% rename from SurgeData/N=1000/597-time_c.csv rename to SurgeData/597-time_c.csv diff --git a/SurgeData/N=1000/597-time_w.csv b/SurgeData/597-time_w.csv similarity index 100% rename from SurgeData/N=1000/597-time_w.csv rename to SurgeData/597-time_w.csv diff --git a/SurgeData/N=1000/597-waterlevel_c.csv b/SurgeData/597-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/597-waterlevel_c.csv rename to SurgeData/597-waterlevel_c.csv diff --git a/SurgeData/N=1000/597-waterlevel_w.csv b/SurgeData/597-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/597-waterlevel_w.csv rename to SurgeData/597-waterlevel_w.csv diff --git a/SurgeData/598-num_storm.csv b/SurgeData/598-num_storm.csv new file mode 100644 index 00000000..f7579a67 --- /dev/null +++ b/SurgeData/598-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,5.0 +2022,0.0,2.0 +2023,4.0,5.0 +2024,0.0,6.0 +2025,2.0,2.0 +2026,3.0,6.0 +2027,2.0,4.0 +2028,0.0,2.0 +2029,2.0,4.0 +2030,1.0,3.0 +2031,0.0,5.0 +2032,1.0,5.0 +2033,0.0,4.0 +2034,1.0,4.0 +2035,3.0,2.0 +2036,1.0,1.0 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rename from SurgeData/N=1000/598-peak+year_c.csv rename to SurgeData/598-peak+year_c.csv diff --git a/SurgeData/N=1000/598-peak+year_w.csv b/SurgeData/598-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/598-peak+year_w.csv rename to SurgeData/598-peak+year_w.csv diff --git a/SurgeData/N=1000/598-peak_c.csv b/SurgeData/598-peak_c.csv similarity index 100% rename from SurgeData/N=1000/598-peak_c.csv rename to SurgeData/598-peak_c.csv diff --git a/SurgeData/N=1000/598-peak_w.csv b/SurgeData/598-peak_w.csv similarity index 100% rename from SurgeData/N=1000/598-peak_w.csv rename to SurgeData/598-peak_w.csv diff --git a/SurgeData/N=1000/598-surge_c.csv b/SurgeData/598-surge_c.csv similarity index 100% rename from SurgeData/N=1000/598-surge_c.csv rename to SurgeData/598-surge_c.csv diff --git a/SurgeData/N=1000/598-surge_w.csv b/SurgeData/598-surge_w.csv similarity index 100% rename from SurgeData/N=1000/598-surge_w.csv rename to SurgeData/598-surge_w.csv diff --git a/SurgeData/N=1000/598-time_c.csv b/SurgeData/598-time_c.csv similarity index 100% rename from SurgeData/N=1000/598-time_c.csv rename to SurgeData/598-time_c.csv diff --git a/SurgeData/N=1000/598-time_w.csv b/SurgeData/598-time_w.csv similarity index 100% rename from SurgeData/N=1000/598-time_w.csv rename to SurgeData/598-time_w.csv diff --git a/SurgeData/N=1000/598-waterlevel_c.csv b/SurgeData/598-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/598-waterlevel_c.csv rename to SurgeData/598-waterlevel_c.csv diff --git a/SurgeData/N=1000/598-waterlevel_w.csv b/SurgeData/598-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/598-waterlevel_w.csv rename to SurgeData/598-waterlevel_w.csv diff --git a/SurgeData/599-num_storm.csv b/SurgeData/599-num_storm.csv new file mode 100644 index 00000000..7d0acef5 --- /dev/null +++ b/SurgeData/599-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,2.0,5.0 +2022,0.0,5.0 +2023,2.0,6.0 +2024,2.0,5.0 +2025,2.0,5.0 +2026,1.0,4.0 +2027,3.0,2.0 +2028,1.0,3.0 +2029,1.0,7.0 +2030,1.0,6.0 +2031,2.0,5.0 +2032,1.0,2.0 +2033,1.0,7.0 +2034,2.0,1.0 +2035,4.0,4.0 +2036,6.0,4.0 +2037,0.0,5.0 +2038,1.0,1.0 +2039,1.0,3.0 +2040,0.0,5.0 +2041,1.0,4.0 +2042,3.0,5.0 +2043,2.0,7.0 +2044,1.0,4.0 +2045,1.0,2.0 +2046,0.0,6.0 +2047,0.0,6.0 +2048,1.0,8.0 +2049,2.0,7.0 +2050,0.0,6.0 +2051,2.0,4.0 +2052,2.0,4.0 +2053,2.0,4.0 +2054,1.0,10.0 +2055,2.0,5.0 +2056,2.0,4.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,4.0,3.0 +2060,0.0,9.0 +2061,1.0,4.0 +2062,1.0,5.0 +2063,0.0,1.0 +2064,0.0,5.0 +2065,2.0,6.0 +2066,0.0,6.0 +2067,3.0,4.0 +2068,2.0,4.0 +2069,2.0,2.0 +2070,0.0,3.0 +2071,1.0,4.0 +2072,1.0,4.0 +2073,4.0,3.0 +2074,2.0,6.0 +2075,2.0,7.0 +2076,0.0,2.0 +2077,1.0,6.0 +2078,5.0,5.0 +2079,4.0,3.0 +2080,1.0,4.0 +2081,2.0,4.0 +2082,0.0,1.0 +2083,2.0,5.0 +2084,0.0,6.0 +2085,4.0,4.0 +2086,0.0,6.0 +2087,1.0,2.0 +2088,2.0,4.0 +2089,1.0,8.0 +2090,5.0,0.0 +2091,2.0,9.0 +2092,2.0,3.0 +2093,0.0,3.0 +2094,0.0,5.0 +2095,0.0,2.0 +2096,3.0,2.0 +2097,3.0,2.0 +2098,0.0,5.0 +2099,1.0,6.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/599-peak+year_c.csv b/SurgeData/599-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/599-peak+year_c.csv rename to SurgeData/599-peak+year_c.csv diff --git a/SurgeData/N=1000/599-peak+year_w.csv b/SurgeData/599-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/599-peak+year_w.csv rename to SurgeData/599-peak+year_w.csv diff --git a/SurgeData/N=1000/599-peak_c.csv b/SurgeData/599-peak_c.csv similarity index 100% rename from SurgeData/N=1000/599-peak_c.csv rename to SurgeData/599-peak_c.csv diff --git a/SurgeData/N=1000/599-peak_w.csv b/SurgeData/599-peak_w.csv similarity index 100% rename from SurgeData/N=1000/599-peak_w.csv rename to SurgeData/599-peak_w.csv diff --git a/SurgeData/N=1000/599-surge_c.csv b/SurgeData/599-surge_c.csv similarity index 100% rename from SurgeData/N=1000/599-surge_c.csv rename to SurgeData/599-surge_c.csv diff --git a/SurgeData/N=1000/599-surge_w.csv b/SurgeData/599-surge_w.csv similarity index 100% rename from SurgeData/N=1000/599-surge_w.csv rename to SurgeData/599-surge_w.csv diff --git a/SurgeData/N=1000/599-time_c.csv b/SurgeData/599-time_c.csv similarity index 100% rename from SurgeData/N=1000/599-time_c.csv rename to SurgeData/599-time_c.csv diff --git a/SurgeData/N=1000/599-time_w.csv b/SurgeData/599-time_w.csv similarity index 100% rename from SurgeData/N=1000/599-time_w.csv rename to SurgeData/599-time_w.csv diff --git a/SurgeData/N=1000/599-waterlevel_c.csv b/SurgeData/599-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/599-waterlevel_c.csv rename to SurgeData/599-waterlevel_c.csv diff --git a/SurgeData/N=1000/599-waterlevel_w.csv b/SurgeData/599-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/599-waterlevel_w.csv rename to SurgeData/599-waterlevel_w.csv diff --git a/SurgeData/6-num_storm.csv b/SurgeData/6-num_storm.csv new file mode 100644 index 00000000..f437feac --- /dev/null +++ b/SurgeData/6-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,1.0,6.0 +2022,2.0,2.0 +2023,2.0,2.0 +2024,3.0,4.0 +2025,0.0,5.0 +2026,1.0,6.0 +2027,3.0,1.0 +2028,1.0,9.0 +2029,3.0,12.0 +2030,2.0,8.0 +2031,1.0,4.0 +2032,0.0,2.0 +2033,1.0,3.0 +2034,2.0,7.0 +2035,1.0,7.0 +2036,0.0,10.0 +2037,4.0,7.0 +2038,2.0,6.0 +2039,3.0,5.0 +2040,0.0,2.0 +2041,1.0,3.0 +2042,1.0,6.0 +2043,1.0,1.0 +2044,0.0,4.0 +2045,1.0,3.0 +2046,3.0,4.0 +2047,1.0,2.0 +2048,1.0,5.0 +2049,1.0,3.0 +2050,1.0,4.0 +2051,2.0,6.0 +2052,2.0,6.0 +2053,3.0,5.0 +2054,1.0,3.0 +2055,2.0,5.0 +2056,0.0,3.0 +2057,3.0,5.0 +2058,3.0,6.0 +2059,2.0,8.0 +2060,2.0,5.0 +2061,2.0,1.0 +2062,0.0,3.0 +2063,0.0,5.0 +2064,1.0,3.0 +2065,4.0,4.0 +2066,3.0,2.0 +2067,0.0,1.0 +2068,0.0,3.0 +2069,4.0,5.0 +2070,1.0,2.0 +2071,2.0,2.0 +2072,0.0,3.0 +2073,4.0,8.0 +2074,2.0,3.0 +2075,2.0,4.0 +2076,2.0,2.0 +2077,2.0,3.0 +2078,0.0,5.0 +2079,1.0,0.0 +2080,3.0,7.0 +2081,1.0,5.0 +2082,1.0,5.0 +2083,1.0,3.0 +2084,1.0,4.0 +2085,1.0,8.0 +2086,2.0,4.0 +2087,0.0,5.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,1.0,5.0 +2091,3.0,5.0 +2092,1.0,2.0 +2093,1.0,10.0 +2094,2.0,5.0 +2095,2.0,4.0 +2096,1.0,5.0 +2097,0.0,3.0 +2098,0.0,2.0 +2099,1.0,6.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/6-peak+year_c.csv b/SurgeData/6-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/6-peak+year_c.csv rename to SurgeData/6-peak+year_c.csv diff --git a/SurgeData/N=1000/6-peak+year_w.csv b/SurgeData/6-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/6-peak+year_w.csv rename to SurgeData/6-peak+year_w.csv diff --git a/SurgeData/N=1000/6-peak_c.csv b/SurgeData/6-peak_c.csv similarity index 100% rename from SurgeData/N=1000/6-peak_c.csv rename to SurgeData/6-peak_c.csv diff --git a/SurgeData/N=1000/6-peak_w.csv b/SurgeData/6-peak_w.csv similarity index 100% rename from SurgeData/N=1000/6-peak_w.csv rename to SurgeData/6-peak_w.csv diff --git a/SurgeData/N=1000/6-surge_c.csv b/SurgeData/6-surge_c.csv similarity index 100% rename from SurgeData/N=1000/6-surge_c.csv rename to SurgeData/6-surge_c.csv diff --git a/SurgeData/N=1000/6-surge_w.csv b/SurgeData/6-surge_w.csv similarity index 100% rename from SurgeData/N=1000/6-surge_w.csv rename to SurgeData/6-surge_w.csv diff --git a/SurgeData/N=1000/6-time_c.csv b/SurgeData/6-time_c.csv similarity index 100% rename from SurgeData/N=1000/6-time_c.csv rename to SurgeData/6-time_c.csv diff --git a/SurgeData/N=1000/6-time_w.csv b/SurgeData/6-time_w.csv similarity index 100% rename from SurgeData/N=1000/6-time_w.csv rename to SurgeData/6-time_w.csv diff --git a/SurgeData/N=1000/6-waterlevel_c.csv b/SurgeData/6-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/6-waterlevel_c.csv rename to SurgeData/6-waterlevel_c.csv diff --git a/SurgeData/N=1000/6-waterlevel_w.csv b/SurgeData/6-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/6-waterlevel_w.csv rename to SurgeData/6-waterlevel_w.csv diff --git a/SurgeData/N=1000/60-peak+year_c.csv b/SurgeData/60-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/60-peak+year_c.csv rename to SurgeData/60-peak+year_c.csv diff --git a/SurgeData/N=1000/60-peak+year_w.csv b/SurgeData/60-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/60-peak+year_w.csv rename to SurgeData/60-peak+year_w.csv diff --git a/SurgeData/N=1000/60-peak_c.csv b/SurgeData/60-peak_c.csv similarity index 100% rename from SurgeData/N=1000/60-peak_c.csv rename to SurgeData/60-peak_c.csv diff --git a/SurgeData/N=1000/60-peak_w.csv b/SurgeData/60-peak_w.csv similarity index 100% rename from SurgeData/N=1000/60-peak_w.csv rename to SurgeData/60-peak_w.csv diff --git a/SurgeData/N=1000/60-surge_c.csv b/SurgeData/60-surge_c.csv similarity index 100% rename from SurgeData/N=1000/60-surge_c.csv rename to SurgeData/60-surge_c.csv diff --git a/SurgeData/N=1000/60-surge_w.csv b/SurgeData/60-surge_w.csv similarity index 100% rename from SurgeData/N=1000/60-surge_w.csv rename to SurgeData/60-surge_w.csv diff --git a/SurgeData/N=1000/60-time_c.csv b/SurgeData/60-time_c.csv similarity index 100% rename from SurgeData/N=1000/60-time_c.csv rename to SurgeData/60-time_c.csv diff --git a/SurgeData/N=1000/60-time_w.csv b/SurgeData/60-time_w.csv similarity index 100% rename from SurgeData/N=1000/60-time_w.csv rename to SurgeData/60-time_w.csv diff --git a/SurgeData/N=1000/60-waterlevel_c.csv b/SurgeData/60-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/60-waterlevel_c.csv rename to SurgeData/60-waterlevel_c.csv diff --git a/SurgeData/N=1000/60-waterlevel_w.csv b/SurgeData/60-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/60-waterlevel_w.csv rename to SurgeData/60-waterlevel_w.csv diff --git a/SurgeData/600-num_storm.csv b/SurgeData/600-num_storm.csv new file mode 100644 index 00000000..1a07e2d8 --- /dev/null +++ b/SurgeData/600-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,3.0,5.0 +2022,2.0,4.0 +2023,1.0,3.0 +2024,3.0,7.0 +2025,2.0,2.0 +2026,1.0,3.0 +2027,2.0,2.0 +2028,0.0,5.0 +2029,2.0,3.0 +2030,0.0,6.0 +2031,2.0,4.0 +2032,2.0,6.0 +2033,1.0,4.0 +2034,1.0,3.0 +2035,1.0,5.0 +2036,2.0,6.0 +2037,2.0,5.0 +2038,1.0,4.0 +2039,2.0,7.0 +2040,0.0,2.0 +2041,1.0,4.0 +2042,0.0,5.0 +2043,1.0,4.0 +2044,0.0,1.0 +2045,2.0,4.0 +2046,2.0,2.0 +2047,1.0,2.0 +2048,2.0,1.0 +2049,2.0,6.0 +2050,0.0,3.0 +2051,1.0,5.0 +2052,1.0,5.0 +2053,5.0,5.0 +2054,4.0,4.0 +2055,1.0,6.0 +2056,3.0,0.0 +2057,1.0,2.0 +2058,1.0,7.0 +2059,2.0,3.0 +2060,6.0,4.0 +2061,2.0,4.0 +2062,1.0,2.0 +2063,0.0,8.0 +2064,2.0,1.0 +2065,0.0,2.0 +2066,0.0,5.0 +2067,3.0,5.0 +2068,1.0,1.0 +2069,0.0,3.0 +2070,3.0,3.0 +2071,4.0,2.0 +2072,2.0,7.0 +2073,0.0,4.0 +2074,1.0,3.0 +2075,1.0,2.0 +2076,3.0,7.0 +2077,2.0,3.0 +2078,0.0,8.0 +2079,2.0,3.0 +2080,1.0,1.0 +2081,2.0,2.0 +2082,2.0,5.0 +2083,2.0,2.0 +2084,1.0,3.0 +2085,1.0,9.0 +2086,2.0,2.0 +2087,0.0,9.0 +2088,1.0,5.0 +2089,1.0,4.0 +2090,1.0,4.0 +2091,1.0,2.0 +2092,1.0,6.0 +2093,0.0,4.0 +2094,2.0,11.0 +2095,1.0,4.0 +2096,1.0,4.0 +2097,1.0,6.0 +2098,2.0,4.0 +2099,1.0,5.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/600-peak+year_c.csv b/SurgeData/600-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/600-peak+year_c.csv rename to SurgeData/600-peak+year_c.csv diff --git a/SurgeData/N=1000/600-peak+year_w.csv b/SurgeData/600-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/600-peak+year_w.csv rename to SurgeData/600-peak+year_w.csv diff --git a/SurgeData/N=1000/600-peak_c.csv b/SurgeData/600-peak_c.csv similarity index 100% rename from SurgeData/N=1000/600-peak_c.csv rename to SurgeData/600-peak_c.csv diff --git a/SurgeData/N=1000/600-peak_w.csv b/SurgeData/600-peak_w.csv similarity index 100% rename from SurgeData/N=1000/600-peak_w.csv rename to SurgeData/600-peak_w.csv diff --git a/SurgeData/N=1000/600-surge_c.csv b/SurgeData/600-surge_c.csv similarity index 100% rename from SurgeData/N=1000/600-surge_c.csv rename to SurgeData/600-surge_c.csv diff --git a/SurgeData/N=1000/600-surge_w.csv b/SurgeData/600-surge_w.csv similarity index 100% rename from SurgeData/N=1000/600-surge_w.csv rename to SurgeData/600-surge_w.csv diff --git a/SurgeData/N=1000/600-time_c.csv b/SurgeData/600-time_c.csv similarity index 100% rename from SurgeData/N=1000/600-time_c.csv rename to SurgeData/600-time_c.csv diff --git a/SurgeData/N=1000/600-time_w.csv b/SurgeData/600-time_w.csv similarity index 100% rename from SurgeData/N=1000/600-time_w.csv rename to SurgeData/600-time_w.csv diff --git a/SurgeData/N=1000/600-waterlevel_c.csv b/SurgeData/600-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/600-waterlevel_c.csv rename to SurgeData/600-waterlevel_c.csv diff --git a/SurgeData/N=1000/600-waterlevel_w.csv b/SurgeData/600-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/600-waterlevel_w.csv rename to SurgeData/600-waterlevel_w.csv diff --git a/SurgeData/601-num_storm.csv b/SurgeData/601-num_storm.csv new file mode 100644 index 00000000..5ceb9407 --- /dev/null +++ b/SurgeData/601-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,5.0 +2022,1.0,1.0 +2023,1.0,5.0 +2024,1.0,4.0 +2025,2.0,4.0 +2026,4.0,3.0 +2027,2.0,7.0 +2028,0.0,2.0 +2029,4.0,1.0 +2030,1.0,4.0 +2031,0.0,3.0 +2032,1.0,5.0 +2033,0.0,6.0 +2034,1.0,2.0 +2035,2.0,8.0 +2036,3.0,2.0 +2037,2.0,5.0 +2038,3.0,4.0 +2039,2.0,4.0 +2040,3.0,6.0 +2041,1.0,5.0 +2042,1.0,2.0 +2043,2.0,5.0 +2044,0.0,10.0 +2045,3.0,3.0 +2046,1.0,4.0 +2047,0.0,5.0 +2048,2.0,2.0 +2049,0.0,2.0 +2050,2.0,7.0 +2051,0.0,3.0 +2052,2.0,7.0 +2053,0.0,4.0 +2054,2.0,3.0 +2055,0.0,3.0 +2056,2.0,4.0 +2057,2.0,8.0 +2058,2.0,4.0 +2059,2.0,6.0 +2060,1.0,8.0 +2061,1.0,1.0 +2062,0.0,1.0 +2063,4.0,3.0 +2064,3.0,4.0 +2065,1.0,3.0 +2066,1.0,5.0 +2067,3.0,3.0 +2068,0.0,5.0 +2069,0.0,4.0 +2070,2.0,5.0 +2071,3.0,4.0 +2072,1.0,8.0 +2073,0.0,4.0 +2074,2.0,1.0 +2075,1.0,6.0 +2076,1.0,2.0 +2077,0.0,6.0 +2078,3.0,6.0 +2079,1.0,5.0 +2080,1.0,2.0 +2081,0.0,2.0 +2082,2.0,2.0 +2083,2.0,1.0 +2084,0.0,6.0 +2085,0.0,3.0 +2086,1.0,3.0 +2087,1.0,7.0 +2088,0.0,3.0 +2089,3.0,5.0 +2090,2.0,5.0 +2091,1.0,5.0 +2092,2.0,5.0 +2093,5.0,3.0 +2094,3.0,3.0 +2095,0.0,3.0 +2096,4.0,2.0 +2097,1.0,4.0 +2098,1.0,7.0 +2099,0.0,2.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/601-peak+year_c.csv b/SurgeData/601-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/601-peak+year_c.csv rename to SurgeData/601-peak+year_c.csv diff --git a/SurgeData/N=1000/601-peak+year_w.csv b/SurgeData/601-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/601-peak+year_w.csv rename to SurgeData/601-peak+year_w.csv diff --git a/SurgeData/N=1000/601-peak_c.csv b/SurgeData/601-peak_c.csv similarity index 100% rename from SurgeData/N=1000/601-peak_c.csv rename to SurgeData/601-peak_c.csv diff --git a/SurgeData/N=1000/601-peak_w.csv b/SurgeData/601-peak_w.csv similarity index 100% rename from SurgeData/N=1000/601-peak_w.csv rename to SurgeData/601-peak_w.csv diff --git a/SurgeData/N=1000/601-surge_c.csv b/SurgeData/601-surge_c.csv similarity index 100% rename from SurgeData/N=1000/601-surge_c.csv rename to SurgeData/601-surge_c.csv diff --git a/SurgeData/N=1000/601-surge_w.csv b/SurgeData/601-surge_w.csv similarity index 100% rename from SurgeData/N=1000/601-surge_w.csv rename to SurgeData/601-surge_w.csv diff --git a/SurgeData/N=1000/601-time_c.csv b/SurgeData/601-time_c.csv similarity index 100% rename from SurgeData/N=1000/601-time_c.csv rename to SurgeData/601-time_c.csv diff --git a/SurgeData/N=1000/601-time_w.csv b/SurgeData/601-time_w.csv similarity index 100% rename from SurgeData/N=1000/601-time_w.csv rename to SurgeData/601-time_w.csv diff --git a/SurgeData/N=1000/601-waterlevel_c.csv b/SurgeData/601-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/601-waterlevel_c.csv rename to SurgeData/601-waterlevel_c.csv diff --git a/SurgeData/N=1000/601-waterlevel_w.csv b/SurgeData/601-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/601-waterlevel_w.csv rename to SurgeData/601-waterlevel_w.csv diff --git a/SurgeData/602-num_storm.csv b/SurgeData/602-num_storm.csv new file mode 100644 index 00000000..7809dd76 --- /dev/null +++ b/SurgeData/602-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,3.0 +2022,4.0,4.0 +2023,2.0,6.0 +2024,1.0,1.0 +2025,2.0,3.0 +2026,3.0,6.0 +2027,2.0,2.0 +2028,1.0,2.0 +2029,2.0,4.0 +2030,0.0,3.0 +2031,0.0,2.0 +2032,2.0,2.0 +2033,6.0,3.0 +2034,2.0,6.0 +2035,5.0,2.0 +2036,0.0,6.0 +2037,3.0,4.0 +2038,4.0,4.0 +2039,2.0,4.0 +2040,3.0,3.0 +2041,2.0,5.0 +2042,0.0,3.0 +2043,3.0,5.0 +2044,2.0,6.0 +2045,2.0,2.0 +2046,0.0,3.0 +2047,2.0,2.0 +2048,1.0,6.0 +2049,0.0,1.0 +2050,2.0,1.0 +2051,3.0,5.0 +2052,1.0,2.0 +2053,1.0,6.0 +2054,2.0,5.0 +2055,1.0,6.0 +2056,2.0,1.0 +2057,4.0,6.0 +2058,1.0,4.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,0.0,2.0 +2062,0.0,3.0 +2063,1.0,4.0 +2064,1.0,4.0 +2065,1.0,7.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,7.0,4.0 +2069,2.0,3.0 +2070,0.0,3.0 +2071,3.0,4.0 +2072,2.0,9.0 +2073,1.0,4.0 +2074,2.0,2.0 +2075,1.0,1.0 +2076,4.0,4.0 +2077,0.0,4.0 +2078,2.0,5.0 +2079,1.0,6.0 +2080,0.0,5.0 +2081,1.0,6.0 +2082,0.0,2.0 +2083,2.0,5.0 +2084,3.0,3.0 +2085,2.0,6.0 +2086,1.0,9.0 +2087,1.0,2.0 +2088,2.0,3.0 +2089,0.0,1.0 +2090,2.0,2.0 +2091,5.0,4.0 +2092,2.0,1.0 +2093,3.0,4.0 +2094,3.0,5.0 +2095,1.0,5.0 +2096,1.0,5.0 +2097,0.0,5.0 +2098,5.0,4.0 +2099,2.0,8.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/602-peak+year_c.csv b/SurgeData/602-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/602-peak+year_c.csv rename to SurgeData/602-peak+year_c.csv diff --git a/SurgeData/N=1000/602-peak+year_w.csv b/SurgeData/602-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/602-peak+year_w.csv rename to SurgeData/602-peak+year_w.csv diff --git a/SurgeData/N=1000/602-peak_c.csv b/SurgeData/602-peak_c.csv similarity index 100% rename from SurgeData/N=1000/602-peak_c.csv rename to SurgeData/602-peak_c.csv diff --git a/SurgeData/N=1000/602-peak_w.csv b/SurgeData/602-peak_w.csv similarity index 100% rename from SurgeData/N=1000/602-peak_w.csv rename to SurgeData/602-peak_w.csv diff --git a/SurgeData/N=1000/602-surge_c.csv b/SurgeData/602-surge_c.csv similarity index 100% rename from SurgeData/N=1000/602-surge_c.csv rename to SurgeData/602-surge_c.csv diff --git a/SurgeData/N=1000/602-surge_w.csv b/SurgeData/602-surge_w.csv similarity index 100% rename from SurgeData/N=1000/602-surge_w.csv rename to SurgeData/602-surge_w.csv diff --git a/SurgeData/N=1000/602-time_c.csv b/SurgeData/602-time_c.csv similarity index 100% rename from SurgeData/N=1000/602-time_c.csv rename to SurgeData/602-time_c.csv diff --git a/SurgeData/N=1000/602-time_w.csv b/SurgeData/602-time_w.csv similarity index 100% rename from SurgeData/N=1000/602-time_w.csv rename to SurgeData/602-time_w.csv diff --git a/SurgeData/N=1000/602-waterlevel_c.csv b/SurgeData/602-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/602-waterlevel_c.csv rename to SurgeData/602-waterlevel_c.csv diff --git a/SurgeData/N=1000/602-waterlevel_w.csv b/SurgeData/602-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/602-waterlevel_w.csv rename to SurgeData/602-waterlevel_w.csv diff --git a/SurgeData/603-num_storm.csv b/SurgeData/603-num_storm.csv new file mode 100644 index 00000000..4c88d71b --- /dev/null +++ b/SurgeData/603-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,2.0 +2022,2.0,3.0 +2023,2.0,5.0 +2024,0.0,11.0 +2025,2.0,4.0 +2026,3.0,1.0 +2027,2.0,8.0 +2028,0.0,6.0 +2029,2.0,4.0 +2030,0.0,3.0 +2031,2.0,3.0 +2032,2.0,7.0 +2033,0.0,4.0 +2034,0.0,3.0 +2035,1.0,2.0 +2036,0.0,3.0 +2037,1.0,1.0 +2038,2.0,7.0 +2039,1.0,2.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,1.0,3.0 +2044,0.0,5.0 +2045,3.0,2.0 +2046,1.0,4.0 +2047,1.0,5.0 +2048,3.0,4.0 +2049,2.0,1.0 +2050,2.0,4.0 +2051,0.0,3.0 +2052,3.0,6.0 +2053,0.0,5.0 +2054,1.0,6.0 +2055,0.0,4.0 +2056,2.0,4.0 +2057,2.0,1.0 +2058,2.0,2.0 +2059,2.0,1.0 +2060,0.0,2.0 +2061,0.0,4.0 +2062,2.0,3.0 +2063,1.0,8.0 +2064,4.0,4.0 +2065,1.0,4.0 +2066,1.0,0.0 +2067,1.0,3.0 +2068,4.0,7.0 +2069,4.0,3.0 +2070,1.0,6.0 +2071,2.0,4.0 +2072,2.0,0.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,3.0,10.0 +2076,1.0,0.0 +2077,1.0,5.0 +2078,1.0,7.0 +2079,1.0,7.0 +2080,2.0,3.0 +2081,0.0,3.0 +2082,3.0,5.0 +2083,1.0,1.0 +2084,2.0,6.0 +2085,2.0,7.0 +2086,0.0,6.0 +2087,2.0,3.0 +2088,0.0,2.0 +2089,2.0,6.0 +2090,0.0,1.0 +2091,3.0,3.0 +2092,3.0,5.0 +2093,1.0,6.0 +2094,3.0,4.0 +2095,0.0,5.0 +2096,3.0,5.0 +2097,1.0,2.0 +2098,0.0,7.0 +2099,2.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/603-peak+year_c.csv b/SurgeData/603-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/603-peak+year_c.csv rename to SurgeData/603-peak+year_c.csv diff --git a/SurgeData/N=1000/603-peak+year_w.csv b/SurgeData/603-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/603-peak+year_w.csv rename to SurgeData/603-peak+year_w.csv diff --git a/SurgeData/N=1000/603-peak_c.csv b/SurgeData/603-peak_c.csv similarity index 100% rename from SurgeData/N=1000/603-peak_c.csv rename to SurgeData/603-peak_c.csv diff --git a/SurgeData/N=1000/603-peak_w.csv b/SurgeData/603-peak_w.csv similarity index 100% rename from SurgeData/N=1000/603-peak_w.csv rename to SurgeData/603-peak_w.csv diff --git a/SurgeData/N=1000/603-surge_c.csv b/SurgeData/603-surge_c.csv similarity index 100% rename from SurgeData/N=1000/603-surge_c.csv rename to SurgeData/603-surge_c.csv diff --git a/SurgeData/N=1000/603-surge_w.csv b/SurgeData/603-surge_w.csv similarity index 100% rename from SurgeData/N=1000/603-surge_w.csv rename to SurgeData/603-surge_w.csv diff --git a/SurgeData/N=1000/603-time_c.csv b/SurgeData/603-time_c.csv similarity index 100% rename from SurgeData/N=1000/603-time_c.csv rename to SurgeData/603-time_c.csv diff --git a/SurgeData/N=1000/603-time_w.csv b/SurgeData/603-time_w.csv similarity index 100% rename from SurgeData/N=1000/603-time_w.csv rename to SurgeData/603-time_w.csv diff --git a/SurgeData/N=1000/603-waterlevel_c.csv b/SurgeData/603-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/603-waterlevel_c.csv rename to SurgeData/603-waterlevel_c.csv diff --git a/SurgeData/N=1000/603-waterlevel_w.csv b/SurgeData/603-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/603-waterlevel_w.csv rename to SurgeData/603-waterlevel_w.csv diff --git a/SurgeData/604-num_storm.csv b/SurgeData/604-num_storm.csv new file mode 100644 index 00000000..81e43a98 --- /dev/null +++ b/SurgeData/604-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,2.0 +2022,2.0,6.0 +2023,3.0,6.0 +2024,0.0,6.0 +2025,1.0,5.0 +2026,0.0,4.0 +2027,2.0,6.0 +2028,1.0,6.0 +2029,2.0,2.0 +2030,2.0,7.0 +2031,2.0,2.0 +2032,1.0,5.0 +2033,0.0,3.0 +2034,1.0,7.0 +2035,0.0,4.0 +2036,3.0,4.0 +2037,2.0,7.0 +2038,2.0,2.0 +2039,0.0,7.0 +2040,0.0,6.0 +2041,1.0,5.0 +2042,4.0,2.0 +2043,1.0,6.0 +2044,1.0,6.0 +2045,3.0,1.0 +2046,0.0,5.0 +2047,2.0,3.0 +2048,3.0,3.0 +2049,1.0,5.0 +2050,0.0,3.0 +2051,2.0,1.0 +2052,0.0,2.0 +2053,5.0,5.0 +2054,2.0,2.0 +2055,5.0,1.0 +2056,3.0,9.0 +2057,0.0,6.0 +2058,2.0,3.0 +2059,2.0,4.0 +2060,1.0,2.0 +2061,2.0,3.0 +2062,2.0,1.0 +2063,0.0,4.0 +2064,0.0,2.0 +2065,4.0,4.0 +2066,0.0,2.0 +2067,1.0,3.0 +2068,0.0,4.0 +2069,1.0,1.0 +2070,1.0,8.0 +2071,2.0,6.0 +2072,1.0,10.0 +2073,2.0,6.0 +2074,1.0,6.0 +2075,1.0,3.0 +2076,3.0,4.0 +2077,1.0,5.0 +2078,0.0,2.0 +2079,2.0,5.0 +2080,0.0,3.0 +2081,1.0,7.0 +2082,4.0,6.0 +2083,3.0,5.0 +2084,0.0,6.0 +2085,1.0,3.0 +2086,2.0,2.0 +2087,1.0,9.0 +2088,0.0,5.0 +2089,1.0,7.0 +2090,1.0,8.0 +2091,3.0,5.0 +2092,2.0,5.0 +2093,1.0,4.0 +2094,1.0,3.0 +2095,1.0,5.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,4.0,7.0 +2099,1.0,1.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/604-peak+year_c.csv b/SurgeData/604-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/604-peak+year_c.csv rename to SurgeData/604-peak+year_c.csv diff --git a/SurgeData/N=1000/604-peak+year_w.csv b/SurgeData/604-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/604-peak+year_w.csv rename to SurgeData/604-peak+year_w.csv diff --git a/SurgeData/N=1000/604-peak_c.csv b/SurgeData/604-peak_c.csv similarity index 100% rename from SurgeData/N=1000/604-peak_c.csv rename to SurgeData/604-peak_c.csv diff --git a/SurgeData/N=1000/604-peak_w.csv b/SurgeData/604-peak_w.csv similarity index 100% rename from SurgeData/N=1000/604-peak_w.csv rename to SurgeData/604-peak_w.csv diff --git a/SurgeData/N=1000/604-surge_c.csv b/SurgeData/604-surge_c.csv similarity index 100% rename from SurgeData/N=1000/604-surge_c.csv rename to SurgeData/604-surge_c.csv diff --git a/SurgeData/N=1000/604-surge_w.csv b/SurgeData/604-surge_w.csv similarity index 100% rename from SurgeData/N=1000/604-surge_w.csv rename to SurgeData/604-surge_w.csv diff --git a/SurgeData/N=1000/604-time_c.csv b/SurgeData/604-time_c.csv similarity index 100% rename from SurgeData/N=1000/604-time_c.csv rename to SurgeData/604-time_c.csv diff --git a/SurgeData/N=1000/604-time_w.csv b/SurgeData/604-time_w.csv similarity index 100% rename from SurgeData/N=1000/604-time_w.csv rename to SurgeData/604-time_w.csv diff --git a/SurgeData/N=1000/604-waterlevel_c.csv b/SurgeData/604-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/604-waterlevel_c.csv rename to SurgeData/604-waterlevel_c.csv diff --git a/SurgeData/N=1000/604-waterlevel_w.csv b/SurgeData/604-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/604-waterlevel_w.csv rename to SurgeData/604-waterlevel_w.csv diff --git a/SurgeData/605-num_storm.csv b/SurgeData/605-num_storm.csv new file mode 100644 index 00000000..05e574e1 --- /dev/null +++ b/SurgeData/605-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,4.0 +2022,0.0,5.0 +2023,0.0,2.0 +2024,2.0,2.0 +2025,2.0,6.0 +2026,3.0,4.0 +2027,0.0,1.0 +2028,0.0,4.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,1.0,4.0 +2032,1.0,4.0 +2033,1.0,2.0 +2034,1.0,4.0 +2035,2.0,2.0 +2036,1.0,4.0 +2037,0.0,3.0 +2038,1.0,5.0 +2039,1.0,2.0 +2040,0.0,5.0 +2041,2.0,4.0 +2042,1.0,11.0 +2043,3.0,3.0 +2044,2.0,4.0 +2045,2.0,6.0 +2046,1.0,1.0 +2047,2.0,3.0 +2048,2.0,6.0 +2049,2.0,5.0 +2050,1.0,3.0 +2051,3.0,2.0 +2052,1.0,3.0 +2053,3.0,5.0 +2054,4.0,5.0 +2055,2.0,2.0 +2056,0.0,5.0 +2057,2.0,4.0 +2058,1.0,3.0 +2059,1.0,5.0 +2060,2.0,5.0 +2061,0.0,5.0 +2062,0.0,3.0 +2063,0.0,7.0 +2064,2.0,9.0 +2065,3.0,5.0 +2066,1.0,6.0 +2067,0.0,9.0 +2068,0.0,2.0 +2069,1.0,6.0 +2070,2.0,1.0 +2071,0.0,3.0 +2072,1.0,6.0 +2073,2.0,1.0 +2074,2.0,4.0 +2075,3.0,8.0 +2076,2.0,2.0 +2077,2.0,6.0 +2078,3.0,3.0 +2079,1.0,4.0 +2080,2.0,5.0 +2081,2.0,8.0 +2082,0.0,3.0 +2083,2.0,5.0 +2084,2.0,1.0 +2085,1.0,4.0 +2086,2.0,3.0 +2087,1.0,4.0 +2088,0.0,5.0 +2089,0.0,3.0 +2090,1.0,9.0 +2091,0.0,5.0 +2092,2.0,7.0 +2093,1.0,1.0 +2094,0.0,6.0 +2095,0.0,4.0 +2096,1.0,7.0 +2097,1.0,4.0 +2098,0.0,4.0 +2099,3.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/605-peak+year_c.csv b/SurgeData/605-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/605-peak+year_c.csv rename to SurgeData/605-peak+year_c.csv diff --git a/SurgeData/N=1000/605-peak+year_w.csv b/SurgeData/605-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/605-peak+year_w.csv rename to SurgeData/605-peak+year_w.csv diff --git a/SurgeData/N=1000/605-peak_c.csv b/SurgeData/605-peak_c.csv similarity index 100% rename from SurgeData/N=1000/605-peak_c.csv rename to SurgeData/605-peak_c.csv diff --git a/SurgeData/N=1000/605-peak_w.csv b/SurgeData/605-peak_w.csv similarity index 100% rename from SurgeData/N=1000/605-peak_w.csv rename to SurgeData/605-peak_w.csv diff --git a/SurgeData/N=1000/605-surge_c.csv b/SurgeData/605-surge_c.csv similarity index 100% rename from SurgeData/N=1000/605-surge_c.csv rename to SurgeData/605-surge_c.csv diff --git a/SurgeData/N=1000/605-surge_w.csv b/SurgeData/605-surge_w.csv similarity index 100% rename from SurgeData/N=1000/605-surge_w.csv rename to SurgeData/605-surge_w.csv diff --git a/SurgeData/N=1000/605-time_c.csv b/SurgeData/605-time_c.csv similarity index 100% rename from SurgeData/N=1000/605-time_c.csv rename to SurgeData/605-time_c.csv diff --git a/SurgeData/N=1000/605-time_w.csv b/SurgeData/605-time_w.csv similarity index 100% rename from SurgeData/N=1000/605-time_w.csv rename to SurgeData/605-time_w.csv diff --git a/SurgeData/N=1000/605-waterlevel_c.csv b/SurgeData/605-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/605-waterlevel_c.csv rename to SurgeData/605-waterlevel_c.csv diff --git a/SurgeData/N=1000/605-waterlevel_w.csv b/SurgeData/605-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/605-waterlevel_w.csv rename to SurgeData/605-waterlevel_w.csv diff --git a/SurgeData/N=1000/606-peak+year_c.csv b/SurgeData/606-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/606-peak+year_c.csv rename to SurgeData/606-peak+year_c.csv diff --git a/SurgeData/N=1000/606-peak+year_w.csv b/SurgeData/606-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/606-peak+year_w.csv rename to SurgeData/606-peak+year_w.csv diff --git a/SurgeData/N=1000/606-peak_c.csv b/SurgeData/606-peak_c.csv similarity index 100% rename from SurgeData/N=1000/606-peak_c.csv rename to SurgeData/606-peak_c.csv diff --git a/SurgeData/N=1000/606-peak_w.csv b/SurgeData/606-peak_w.csv similarity index 100% rename from SurgeData/N=1000/606-peak_w.csv rename to SurgeData/606-peak_w.csv diff --git a/SurgeData/N=1000/606-surge_c.csv b/SurgeData/606-surge_c.csv similarity index 100% rename from SurgeData/N=1000/606-surge_c.csv rename to SurgeData/606-surge_c.csv diff --git a/SurgeData/N=1000/606-surge_w.csv b/SurgeData/606-surge_w.csv similarity index 100% rename from SurgeData/N=1000/606-surge_w.csv rename to SurgeData/606-surge_w.csv diff --git a/SurgeData/N=1000/606-time_c.csv b/SurgeData/606-time_c.csv similarity index 100% rename from SurgeData/N=1000/606-time_c.csv rename to SurgeData/606-time_c.csv diff --git a/SurgeData/N=1000/606-time_w.csv b/SurgeData/606-time_w.csv similarity index 100% rename from SurgeData/N=1000/606-time_w.csv rename to SurgeData/606-time_w.csv diff --git a/SurgeData/N=1000/606-waterlevel_c.csv b/SurgeData/606-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/606-waterlevel_c.csv rename to SurgeData/606-waterlevel_c.csv diff --git a/SurgeData/N=1000/606-waterlevel_w.csv b/SurgeData/606-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/606-waterlevel_w.csv rename to SurgeData/606-waterlevel_w.csv diff --git a/SurgeData/607-num_storm.csv b/SurgeData/607-num_storm.csv new file mode 100644 index 00000000..b7955295 --- /dev/null +++ b/SurgeData/607-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,2.0,3.0 +2022,3.0,8.0 +2023,3.0,7.0 +2024,0.0,2.0 +2025,4.0,4.0 +2026,0.0,3.0 +2027,2.0,4.0 +2028,2.0,2.0 +2029,2.0,3.0 +2030,2.0,3.0 +2031,0.0,4.0 +2032,1.0,3.0 +2033,0.0,4.0 +2034,1.0,6.0 +2035,4.0,2.0 +2036,4.0,6.0 +2037,1.0,5.0 +2038,0.0,2.0 +2039,0.0,4.0 +2040,3.0,7.0 +2041,0.0,1.0 +2042,1.0,5.0 +2043,1.0,5.0 +2044,3.0,5.0 +2045,2.0,6.0 +2046,4.0,6.0 +2047,2.0,3.0 +2048,2.0,5.0 +2049,0.0,6.0 +2050,2.0,3.0 +2051,2.0,2.0 +2052,2.0,3.0 +2053,0.0,2.0 +2054,2.0,3.0 +2055,0.0,2.0 +2056,2.0,0.0 +2057,1.0,2.0 +2058,1.0,4.0 +2059,0.0,1.0 +2060,1.0,5.0 +2061,3.0,4.0 +2062,3.0,4.0 +2063,1.0,3.0 +2064,4.0,3.0 +2065,1.0,6.0 +2066,2.0,7.0 +2067,0.0,3.0 +2068,0.0,3.0 +2069,1.0,6.0 +2070,2.0,6.0 +2071,3.0,4.0 +2072,2.0,2.0 +2073,2.0,4.0 +2074,1.0,4.0 +2075,1.0,1.0 +2076,1.0,4.0 +2077,2.0,4.0 +2078,1.0,6.0 +2079,2.0,4.0 +2080,1.0,2.0 +2081,0.0,3.0 +2082,1.0,5.0 +2083,0.0,2.0 +2084,1.0,6.0 +2085,3.0,4.0 +2086,0.0,6.0 +2087,4.0,4.0 +2088,1.0,1.0 +2089,3.0,3.0 +2090,3.0,2.0 +2091,2.0,3.0 +2092,4.0,4.0 +2093,2.0,5.0 +2094,3.0,5.0 +2095,1.0,5.0 +2096,0.0,2.0 +2097,2.0,3.0 +2098,0.0,2.0 +2099,4.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/607-peak+year_c.csv b/SurgeData/607-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/607-peak+year_c.csv rename to SurgeData/607-peak+year_c.csv diff --git a/SurgeData/N=1000/607-peak+year_w.csv b/SurgeData/607-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/607-peak+year_w.csv rename to SurgeData/607-peak+year_w.csv diff --git a/SurgeData/N=1000/607-peak_c.csv b/SurgeData/607-peak_c.csv similarity index 100% rename from SurgeData/N=1000/607-peak_c.csv rename to SurgeData/607-peak_c.csv diff --git a/SurgeData/N=1000/607-peak_w.csv b/SurgeData/607-peak_w.csv similarity index 100% rename from SurgeData/N=1000/607-peak_w.csv rename to SurgeData/607-peak_w.csv diff --git a/SurgeData/N=1000/607-surge_c.csv b/SurgeData/607-surge_c.csv similarity index 100% rename from SurgeData/N=1000/607-surge_c.csv rename to SurgeData/607-surge_c.csv diff --git a/SurgeData/N=1000/607-surge_w.csv b/SurgeData/607-surge_w.csv similarity index 100% rename from SurgeData/N=1000/607-surge_w.csv rename to SurgeData/607-surge_w.csv diff --git a/SurgeData/N=1000/607-time_c.csv b/SurgeData/607-time_c.csv similarity index 100% rename from SurgeData/N=1000/607-time_c.csv rename to SurgeData/607-time_c.csv diff --git a/SurgeData/N=1000/607-time_w.csv b/SurgeData/607-time_w.csv similarity index 100% rename from SurgeData/N=1000/607-time_w.csv rename to SurgeData/607-time_w.csv diff --git a/SurgeData/N=1000/607-waterlevel_c.csv b/SurgeData/607-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/607-waterlevel_c.csv rename to SurgeData/607-waterlevel_c.csv diff --git a/SurgeData/N=1000/607-waterlevel_w.csv b/SurgeData/607-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/607-waterlevel_w.csv rename to SurgeData/607-waterlevel_w.csv diff --git a/SurgeData/608-num_storm.csv b/SurgeData/608-num_storm.csv new file mode 100644 index 00000000..261955c4 --- /dev/null +++ b/SurgeData/608-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,4.0,6.0 +2022,1.0,7.0 +2023,1.0,5.0 +2024,2.0,4.0 +2025,1.0,8.0 +2026,3.0,2.0 +2027,1.0,2.0 +2028,2.0,2.0 +2029,2.0,4.0 +2030,3.0,8.0 +2031,0.0,3.0 +2032,1.0,4.0 +2033,3.0,3.0 +2034,1.0,4.0 +2035,0.0,3.0 +2036,3.0,2.0 +2037,3.0,3.0 +2038,1.0,6.0 +2039,1.0,3.0 +2040,2.0,3.0 +2041,1.0,2.0 +2042,1.0,2.0 +2043,1.0,8.0 +2044,3.0,5.0 +2045,0.0,4.0 +2046,3.0,4.0 +2047,1.0,4.0 +2048,1.0,4.0 +2049,2.0,3.0 +2050,1.0,3.0 +2051,1.0,11.0 +2052,1.0,5.0 +2053,1.0,4.0 +2054,3.0,3.0 +2055,0.0,5.0 +2056,0.0,8.0 +2057,1.0,3.0 +2058,0.0,5.0 +2059,2.0,2.0 +2060,2.0,2.0 +2061,3.0,4.0 +2062,2.0,1.0 +2063,3.0,3.0 +2064,5.0,4.0 +2065,0.0,5.0 +2066,1.0,3.0 +2067,1.0,4.0 +2068,2.0,7.0 +2069,2.0,5.0 +2070,2.0,6.0 +2071,1.0,5.0 +2072,2.0,4.0 +2073,2.0,2.0 +2074,1.0,2.0 +2075,3.0,4.0 +2076,2.0,3.0 +2077,3.0,4.0 +2078,1.0,4.0 +2079,2.0,0.0 +2080,2.0,4.0 +2081,2.0,4.0 +2082,0.0,5.0 +2083,2.0,4.0 +2084,1.0,3.0 +2085,2.0,6.0 +2086,3.0,2.0 +2087,1.0,7.0 +2088,2.0,3.0 +2089,0.0,2.0 +2090,0.0,5.0 +2091,3.0,4.0 +2092,1.0,6.0 +2093,1.0,4.0 +2094,0.0,2.0 +2095,2.0,6.0 +2096,0.0,5.0 +2097,0.0,2.0 +2098,1.0,3.0 +2099,3.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/608-peak+year_c.csv b/SurgeData/608-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/608-peak+year_c.csv rename to SurgeData/608-peak+year_c.csv diff --git a/SurgeData/N=1000/608-peak+year_w.csv b/SurgeData/608-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/608-peak+year_w.csv rename to SurgeData/608-peak+year_w.csv diff --git a/SurgeData/N=1000/608-peak_c.csv b/SurgeData/608-peak_c.csv similarity index 100% rename from SurgeData/N=1000/608-peak_c.csv rename to SurgeData/608-peak_c.csv diff --git a/SurgeData/N=1000/608-peak_w.csv b/SurgeData/608-peak_w.csv similarity index 100% rename from SurgeData/N=1000/608-peak_w.csv rename to SurgeData/608-peak_w.csv diff --git a/SurgeData/N=1000/608-surge_c.csv b/SurgeData/608-surge_c.csv similarity index 100% rename from SurgeData/N=1000/608-surge_c.csv rename to SurgeData/608-surge_c.csv diff --git a/SurgeData/N=1000/608-surge_w.csv b/SurgeData/608-surge_w.csv similarity index 100% rename from SurgeData/N=1000/608-surge_w.csv rename to SurgeData/608-surge_w.csv diff --git a/SurgeData/N=1000/608-time_c.csv b/SurgeData/608-time_c.csv similarity index 100% rename from SurgeData/N=1000/608-time_c.csv rename to SurgeData/608-time_c.csv diff --git a/SurgeData/N=1000/608-time_w.csv b/SurgeData/608-time_w.csv similarity index 100% rename from SurgeData/N=1000/608-time_w.csv rename to SurgeData/608-time_w.csv diff --git a/SurgeData/N=1000/608-waterlevel_c.csv b/SurgeData/608-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/608-waterlevel_c.csv rename to SurgeData/608-waterlevel_c.csv diff --git a/SurgeData/N=1000/608-waterlevel_w.csv b/SurgeData/608-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/608-waterlevel_w.csv rename to SurgeData/608-waterlevel_w.csv diff --git a/SurgeData/609-num_storm.csv b/SurgeData/609-num_storm.csv new file mode 100644 index 00000000..7b2a2da7 --- /dev/null +++ b/SurgeData/609-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,2.0,5.0 +2022,3.0,8.0 +2023,2.0,4.0 +2024,2.0,1.0 +2025,1.0,5.0 +2026,1.0,3.0 +2027,2.0,1.0 +2028,1.0,6.0 +2029,4.0,4.0 +2030,2.0,4.0 +2031,3.0,3.0 +2032,2.0,6.0 +2033,2.0,2.0 +2034,2.0,2.0 +2035,3.0,5.0 +2036,1.0,6.0 +2037,1.0,3.0 +2038,1.0,4.0 +2039,0.0,5.0 +2040,1.0,6.0 +2041,2.0,5.0 +2042,0.0,7.0 +2043,3.0,2.0 +2044,2.0,5.0 +2045,4.0,4.0 +2046,0.0,1.0 +2047,2.0,3.0 +2048,4.0,1.0 +2049,0.0,3.0 +2050,1.0,6.0 +2051,2.0,6.0 +2052,0.0,4.0 +2053,3.0,5.0 +2054,2.0,4.0 +2055,2.0,4.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,5.0,7.0 +2059,2.0,4.0 +2060,1.0,3.0 +2061,2.0,2.0 +2062,7.0,4.0 +2063,0.0,3.0 +2064,1.0,6.0 +2065,4.0,5.0 +2066,1.0,7.0 +2067,2.0,4.0 +2068,1.0,5.0 +2069,2.0,7.0 +2070,1.0,5.0 +2071,1.0,2.0 +2072,2.0,4.0 +2073,1.0,5.0 +2074,2.0,6.0 +2075,1.0,4.0 +2076,1.0,5.0 +2077,1.0,3.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,1.0,4.0 +2081,0.0,2.0 +2082,2.0,4.0 +2083,0.0,4.0 +2084,2.0,9.0 +2085,3.0,4.0 +2086,4.0,1.0 +2087,1.0,6.0 +2088,2.0,3.0 +2089,1.0,3.0 +2090,0.0,4.0 +2091,1.0,5.0 +2092,1.0,4.0 +2093,2.0,3.0 +2094,1.0,3.0 +2095,2.0,4.0 +2096,1.0,4.0 +2097,2.0,6.0 +2098,3.0,4.0 +2099,2.0,3.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/609-peak+year_c.csv b/SurgeData/609-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/609-peak+year_c.csv rename to SurgeData/609-peak+year_c.csv diff --git a/SurgeData/N=1000/609-peak+year_w.csv b/SurgeData/609-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/609-peak+year_w.csv rename to SurgeData/609-peak+year_w.csv diff --git a/SurgeData/N=1000/609-peak_c.csv b/SurgeData/609-peak_c.csv similarity index 100% rename from SurgeData/N=1000/609-peak_c.csv rename to SurgeData/609-peak_c.csv diff --git a/SurgeData/N=1000/609-peak_w.csv b/SurgeData/609-peak_w.csv similarity index 100% rename from SurgeData/N=1000/609-peak_w.csv rename to SurgeData/609-peak_w.csv diff --git a/SurgeData/N=1000/609-surge_c.csv b/SurgeData/609-surge_c.csv similarity index 100% rename from SurgeData/N=1000/609-surge_c.csv rename to SurgeData/609-surge_c.csv diff --git a/SurgeData/N=1000/609-surge_w.csv b/SurgeData/609-surge_w.csv similarity index 100% rename from SurgeData/N=1000/609-surge_w.csv rename to SurgeData/609-surge_w.csv diff --git a/SurgeData/N=1000/609-time_c.csv b/SurgeData/609-time_c.csv similarity index 100% rename from SurgeData/N=1000/609-time_c.csv rename to SurgeData/609-time_c.csv diff --git a/SurgeData/N=1000/609-time_w.csv b/SurgeData/609-time_w.csv similarity index 100% rename from SurgeData/N=1000/609-time_w.csv rename to SurgeData/609-time_w.csv diff --git a/SurgeData/N=1000/609-waterlevel_c.csv b/SurgeData/609-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/609-waterlevel_c.csv rename to SurgeData/609-waterlevel_c.csv diff --git a/SurgeData/N=1000/609-waterlevel_w.csv b/SurgeData/609-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/609-waterlevel_w.csv rename to SurgeData/609-waterlevel_w.csv diff --git a/SurgeData/N=1000/61-peak+year_c.csv b/SurgeData/61-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/61-peak+year_c.csv rename to SurgeData/61-peak+year_c.csv diff --git a/SurgeData/N=1000/61-peak+year_w.csv b/SurgeData/61-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/61-peak+year_w.csv rename to SurgeData/61-peak+year_w.csv diff --git a/SurgeData/N=1000/61-peak_c.csv b/SurgeData/61-peak_c.csv similarity index 100% rename from SurgeData/N=1000/61-peak_c.csv rename to SurgeData/61-peak_c.csv diff --git a/SurgeData/N=1000/61-peak_w.csv b/SurgeData/61-peak_w.csv similarity index 100% rename from SurgeData/N=1000/61-peak_w.csv rename to SurgeData/61-peak_w.csv diff --git a/SurgeData/N=1000/61-surge_c.csv b/SurgeData/61-surge_c.csv similarity index 100% rename from SurgeData/N=1000/61-surge_c.csv rename to SurgeData/61-surge_c.csv diff --git a/SurgeData/N=1000/61-surge_w.csv b/SurgeData/61-surge_w.csv similarity index 100% rename from SurgeData/N=1000/61-surge_w.csv rename to SurgeData/61-surge_w.csv diff --git a/SurgeData/N=1000/61-time_c.csv b/SurgeData/61-time_c.csv similarity index 100% rename from SurgeData/N=1000/61-time_c.csv rename to SurgeData/61-time_c.csv diff --git a/SurgeData/N=1000/61-time_w.csv b/SurgeData/61-time_w.csv similarity index 100% rename from SurgeData/N=1000/61-time_w.csv rename to SurgeData/61-time_w.csv diff --git a/SurgeData/N=1000/61-waterlevel_c.csv b/SurgeData/61-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/61-waterlevel_c.csv rename to SurgeData/61-waterlevel_c.csv diff --git a/SurgeData/N=1000/61-waterlevel_w.csv b/SurgeData/61-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/61-waterlevel_w.csv rename to SurgeData/61-waterlevel_w.csv diff --git a/SurgeData/610-num_storm.csv b/SurgeData/610-num_storm.csv new file mode 100644 index 00000000..e791ac09 --- /dev/null +++ b/SurgeData/610-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,3.0 +2022,2.0,1.0 +2023,2.0,6.0 +2024,3.0,5.0 +2025,2.0,1.0 +2026,1.0,3.0 +2027,1.0,5.0 +2028,1.0,4.0 +2029,3.0,6.0 +2030,3.0,2.0 +2031,1.0,4.0 +2032,1.0,2.0 +2033,2.0,7.0 +2034,0.0,4.0 +2035,1.0,6.0 +2036,1.0,3.0 +2037,4.0,1.0 +2038,0.0,4.0 +2039,0.0,4.0 +2040,1.0,1.0 +2041,3.0,1.0 +2042,0.0,7.0 +2043,2.0,3.0 +2044,3.0,5.0 +2045,1.0,3.0 +2046,2.0,5.0 +2047,1.0,6.0 +2048,2.0,3.0 +2049,3.0,6.0 +2050,3.0,4.0 +2051,1.0,3.0 +2052,1.0,5.0 +2053,2.0,7.0 +2054,5.0,2.0 +2055,3.0,1.0 +2056,3.0,7.0 +2057,3.0,8.0 +2058,1.0,5.0 +2059,1.0,1.0 +2060,1.0,7.0 +2061,0.0,7.0 +2062,1.0,5.0 +2063,1.0,2.0 +2064,2.0,5.0 +2065,0.0,1.0 +2066,1.0,0.0 +2067,3.0,8.0 +2068,1.0,5.0 +2069,1.0,3.0 +2070,1.0,3.0 +2071,2.0,6.0 +2072,0.0,9.0 +2073,1.0,6.0 +2074,2.0,3.0 +2075,0.0,2.0 +2076,2.0,5.0 +2077,1.0,2.0 +2078,1.0,6.0 +2079,0.0,7.0 +2080,5.0,2.0 +2081,2.0,2.0 +2082,1.0,5.0 +2083,1.0,6.0 +2084,3.0,5.0 +2085,3.0,5.0 +2086,4.0,10.0 +2087,5.0,5.0 +2088,3.0,1.0 +2089,3.0,2.0 +2090,0.0,4.0 +2091,2.0,1.0 +2092,2.0,8.0 +2093,1.0,5.0 +2094,3.0,2.0 +2095,3.0,2.0 +2096,2.0,4.0 +2097,1.0,3.0 +2098,2.0,8.0 +2099,2.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/610-peak+year_c.csv b/SurgeData/610-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/610-peak+year_c.csv rename to SurgeData/610-peak+year_c.csv diff --git a/SurgeData/N=1000/610-peak+year_w.csv b/SurgeData/610-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/610-peak+year_w.csv rename to SurgeData/610-peak+year_w.csv diff --git a/SurgeData/N=1000/610-peak_c.csv b/SurgeData/610-peak_c.csv similarity index 100% rename from SurgeData/N=1000/610-peak_c.csv rename to SurgeData/610-peak_c.csv diff --git a/SurgeData/N=1000/610-peak_w.csv b/SurgeData/610-peak_w.csv similarity index 100% rename from SurgeData/N=1000/610-peak_w.csv rename to SurgeData/610-peak_w.csv diff --git a/SurgeData/N=1000/610-surge_c.csv b/SurgeData/610-surge_c.csv similarity index 100% rename from SurgeData/N=1000/610-surge_c.csv rename to SurgeData/610-surge_c.csv diff --git a/SurgeData/N=1000/610-surge_w.csv b/SurgeData/610-surge_w.csv similarity index 100% rename from SurgeData/N=1000/610-surge_w.csv rename to SurgeData/610-surge_w.csv diff --git a/SurgeData/N=1000/610-time_c.csv b/SurgeData/610-time_c.csv similarity index 100% rename from SurgeData/N=1000/610-time_c.csv rename to SurgeData/610-time_c.csv diff --git a/SurgeData/N=1000/610-time_w.csv b/SurgeData/610-time_w.csv similarity index 100% rename from SurgeData/N=1000/610-time_w.csv rename to SurgeData/610-time_w.csv diff --git a/SurgeData/N=1000/610-waterlevel_c.csv b/SurgeData/610-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/610-waterlevel_c.csv rename to SurgeData/610-waterlevel_c.csv diff --git a/SurgeData/N=1000/610-waterlevel_w.csv b/SurgeData/610-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/610-waterlevel_w.csv rename to SurgeData/610-waterlevel_w.csv diff --git a/SurgeData/611-num_storm.csv b/SurgeData/611-num_storm.csv new file mode 100644 index 00000000..2fc3a8d9 --- /dev/null +++ b/SurgeData/611-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,1.0,5.0 +2022,0.0,3.0 +2023,1.0,5.0 +2024,1.0,2.0 +2025,1.0,5.0 +2026,3.0,4.0 +2027,6.0,7.0 +2028,0.0,4.0 +2029,4.0,5.0 +2030,0.0,5.0 +2031,0.0,5.0 +2032,1.0,4.0 +2033,0.0,6.0 +2034,0.0,3.0 +2035,3.0,6.0 +2036,0.0,1.0 +2037,0.0,3.0 +2038,0.0,4.0 +2039,2.0,6.0 +2040,4.0,8.0 +2041,2.0,2.0 +2042,1.0,4.0 +2043,1.0,8.0 +2044,0.0,8.0 +2045,2.0,6.0 +2046,0.0,7.0 +2047,2.0,2.0 +2048,0.0,5.0 +2049,1.0,4.0 +2050,3.0,2.0 +2051,2.0,3.0 +2052,3.0,2.0 +2053,1.0,2.0 +2054,4.0,3.0 +2055,2.0,5.0 +2056,1.0,6.0 +2057,1.0,4.0 +2058,2.0,4.0 +2059,1.0,5.0 +2060,0.0,4.0 +2061,1.0,2.0 +2062,2.0,5.0 +2063,4.0,4.0 +2064,1.0,5.0 +2065,6.0,3.0 +2066,1.0,5.0 +2067,1.0,4.0 +2068,0.0,4.0 +2069,2.0,3.0 +2070,0.0,5.0 +2071,1.0,3.0 +2072,1.0,5.0 +2073,0.0,4.0 +2074,0.0,6.0 +2075,1.0,0.0 +2076,1.0,6.0 +2077,1.0,5.0 +2078,3.0,1.0 +2079,0.0,6.0 +2080,1.0,2.0 +2081,3.0,3.0 +2082,1.0,8.0 +2083,2.0,5.0 +2084,0.0,2.0 +2085,2.0,10.0 +2086,1.0,3.0 +2087,3.0,5.0 +2088,2.0,2.0 +2089,1.0,5.0 +2090,1.0,6.0 +2091,1.0,3.0 +2092,1.0,7.0 +2093,3.0,2.0 +2094,0.0,6.0 +2095,1.0,3.0 +2096,0.0,6.0 +2097,1.0,7.0 +2098,2.0,4.0 +2099,2.0,7.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/611-peak+year_c.csv b/SurgeData/611-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/611-peak+year_c.csv rename to SurgeData/611-peak+year_c.csv diff --git a/SurgeData/N=1000/611-peak+year_w.csv b/SurgeData/611-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/611-peak+year_w.csv rename to SurgeData/611-peak+year_w.csv diff --git a/SurgeData/N=1000/611-peak_c.csv b/SurgeData/611-peak_c.csv similarity index 100% rename from SurgeData/N=1000/611-peak_c.csv rename to SurgeData/611-peak_c.csv diff --git a/SurgeData/N=1000/611-peak_w.csv b/SurgeData/611-peak_w.csv similarity index 100% rename from SurgeData/N=1000/611-peak_w.csv rename to SurgeData/611-peak_w.csv diff --git a/SurgeData/N=1000/611-surge_c.csv b/SurgeData/611-surge_c.csv similarity index 100% rename from SurgeData/N=1000/611-surge_c.csv rename to SurgeData/611-surge_c.csv diff --git a/SurgeData/N=1000/611-surge_w.csv b/SurgeData/611-surge_w.csv similarity index 100% rename from SurgeData/N=1000/611-surge_w.csv rename to SurgeData/611-surge_w.csv diff --git a/SurgeData/N=1000/611-time_c.csv b/SurgeData/611-time_c.csv similarity index 100% rename from SurgeData/N=1000/611-time_c.csv rename to SurgeData/611-time_c.csv diff --git a/SurgeData/N=1000/611-time_w.csv b/SurgeData/611-time_w.csv similarity index 100% rename from SurgeData/N=1000/611-time_w.csv rename to SurgeData/611-time_w.csv diff --git a/SurgeData/N=1000/611-waterlevel_c.csv b/SurgeData/611-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/611-waterlevel_c.csv rename to SurgeData/611-waterlevel_c.csv diff --git a/SurgeData/N=1000/611-waterlevel_w.csv b/SurgeData/611-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/611-waterlevel_w.csv rename to SurgeData/611-waterlevel_w.csv diff --git a/SurgeData/N=1000/612-peak+year_c.csv b/SurgeData/612-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/612-peak+year_c.csv rename to SurgeData/612-peak+year_c.csv diff --git a/SurgeData/N=1000/612-peak+year_w.csv b/SurgeData/612-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/612-peak+year_w.csv rename to SurgeData/612-peak+year_w.csv diff --git a/SurgeData/N=1000/612-peak_c.csv b/SurgeData/612-peak_c.csv similarity index 100% rename from SurgeData/N=1000/612-peak_c.csv rename to SurgeData/612-peak_c.csv diff --git a/SurgeData/N=1000/612-peak_w.csv b/SurgeData/612-peak_w.csv similarity index 100% rename from SurgeData/N=1000/612-peak_w.csv rename to SurgeData/612-peak_w.csv diff --git a/SurgeData/N=1000/612-surge_c.csv b/SurgeData/612-surge_c.csv similarity index 100% rename from SurgeData/N=1000/612-surge_c.csv rename to SurgeData/612-surge_c.csv diff --git a/SurgeData/N=1000/612-surge_w.csv b/SurgeData/612-surge_w.csv similarity index 100% rename from SurgeData/N=1000/612-surge_w.csv rename to SurgeData/612-surge_w.csv diff --git a/SurgeData/N=1000/612-time_c.csv b/SurgeData/612-time_c.csv similarity index 100% rename from SurgeData/N=1000/612-time_c.csv rename to SurgeData/612-time_c.csv diff --git a/SurgeData/N=1000/612-time_w.csv b/SurgeData/612-time_w.csv similarity index 100% rename from SurgeData/N=1000/612-time_w.csv rename to SurgeData/612-time_w.csv diff --git a/SurgeData/N=1000/612-waterlevel_c.csv b/SurgeData/612-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/612-waterlevel_c.csv rename to SurgeData/612-waterlevel_c.csv diff --git a/SurgeData/N=1000/612-waterlevel_w.csv b/SurgeData/612-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/612-waterlevel_w.csv rename to SurgeData/612-waterlevel_w.csv diff --git a/SurgeData/613-num_storm.csv b/SurgeData/613-num_storm.csv new file mode 100644 index 00000000..1ab037cb --- /dev/null +++ b/SurgeData/613-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,2.0 +2021,3.0,6.0 +2022,2.0,5.0 +2023,2.0,4.0 +2024,0.0,5.0 +2025,3.0,4.0 +2026,2.0,5.0 +2027,0.0,4.0 +2028,1.0,2.0 +2029,1.0,6.0 +2030,3.0,3.0 +2031,1.0,6.0 +2032,0.0,5.0 +2033,2.0,7.0 +2034,1.0,1.0 +2035,2.0,1.0 +2036,1.0,3.0 +2037,1.0,2.0 +2038,1.0,5.0 +2039,5.0,5.0 +2040,2.0,4.0 +2041,3.0,4.0 +2042,0.0,1.0 +2043,1.0,3.0 +2044,0.0,3.0 +2045,0.0,2.0 +2046,2.0,6.0 +2047,2.0,4.0 +2048,0.0,4.0 +2049,0.0,3.0 +2050,0.0,4.0 +2051,4.0,8.0 +2052,0.0,7.0 +2053,1.0,6.0 +2054,3.0,3.0 +2055,3.0,4.0 +2056,3.0,4.0 +2057,2.0,11.0 +2058,1.0,3.0 +2059,1.0,6.0 +2060,1.0,5.0 +2061,2.0,5.0 +2062,2.0,4.0 +2063,3.0,7.0 +2064,2.0,7.0 +2065,3.0,7.0 +2066,2.0,4.0 +2067,1.0,4.0 +2068,3.0,6.0 +2069,0.0,2.0 +2070,2.0,8.0 +2071,0.0,4.0 +2072,1.0,4.0 +2073,3.0,5.0 +2074,3.0,6.0 +2075,2.0,3.0 +2076,0.0,4.0 +2077,0.0,5.0 +2078,1.0,1.0 +2079,1.0,3.0 +2080,2.0,5.0 +2081,1.0,3.0 +2082,0.0,4.0 +2083,4.0,2.0 +2084,0.0,3.0 +2085,2.0,3.0 +2086,1.0,3.0 +2087,2.0,7.0 +2088,1.0,1.0 +2089,3.0,3.0 +2090,2.0,4.0 +2091,2.0,5.0 +2092,0.0,5.0 +2093,2.0,5.0 +2094,1.0,9.0 +2095,3.0,1.0 +2096,1.0,3.0 +2097,1.0,3.0 +2098,3.0,5.0 +2099,1.0,6.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/613-peak+year_c.csv b/SurgeData/613-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/613-peak+year_c.csv rename to SurgeData/613-peak+year_c.csv diff --git a/SurgeData/N=1000/613-peak+year_w.csv b/SurgeData/613-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/613-peak+year_w.csv rename to SurgeData/613-peak+year_w.csv diff --git a/SurgeData/N=1000/613-peak_c.csv b/SurgeData/613-peak_c.csv similarity index 100% rename from SurgeData/N=1000/613-peak_c.csv rename to SurgeData/613-peak_c.csv diff --git a/SurgeData/N=1000/613-peak_w.csv b/SurgeData/613-peak_w.csv similarity index 100% rename from SurgeData/N=1000/613-peak_w.csv rename to SurgeData/613-peak_w.csv diff --git a/SurgeData/N=1000/613-surge_c.csv b/SurgeData/613-surge_c.csv similarity index 100% rename from SurgeData/N=1000/613-surge_c.csv rename to SurgeData/613-surge_c.csv diff --git a/SurgeData/N=1000/613-surge_w.csv b/SurgeData/613-surge_w.csv similarity index 100% rename from SurgeData/N=1000/613-surge_w.csv rename to SurgeData/613-surge_w.csv diff --git a/SurgeData/N=1000/613-time_c.csv b/SurgeData/613-time_c.csv similarity index 100% rename from SurgeData/N=1000/613-time_c.csv rename to SurgeData/613-time_c.csv diff --git a/SurgeData/N=1000/613-time_w.csv b/SurgeData/613-time_w.csv similarity index 100% rename from SurgeData/N=1000/613-time_w.csv rename to SurgeData/613-time_w.csv diff --git a/SurgeData/N=1000/613-waterlevel_c.csv b/SurgeData/613-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/613-waterlevel_c.csv rename to SurgeData/613-waterlevel_c.csv diff --git a/SurgeData/N=1000/613-waterlevel_w.csv b/SurgeData/613-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/613-waterlevel_w.csv rename to SurgeData/613-waterlevel_w.csv diff --git a/SurgeData/614-num_storm.csv b/SurgeData/614-num_storm.csv new file mode 100644 index 00000000..13930db4 --- /dev/null +++ b/SurgeData/614-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,4.0 +2022,1.0,1.0 +2023,0.0,3.0 +2024,1.0,5.0 +2025,0.0,7.0 +2026,0.0,2.0 +2027,2.0,3.0 +2028,0.0,5.0 +2029,3.0,3.0 +2030,1.0,4.0 +2031,1.0,2.0 +2032,3.0,6.0 +2033,1.0,0.0 +2034,2.0,5.0 +2035,2.0,3.0 +2036,0.0,2.0 +2037,1.0,4.0 +2038,1.0,4.0 +2039,2.0,1.0 +2040,5.0,5.0 +2041,2.0,5.0 +2042,1.0,5.0 +2043,2.0,2.0 +2044,1.0,5.0 +2045,2.0,4.0 +2046,1.0,7.0 +2047,2.0,5.0 +2048,1.0,5.0 +2049,3.0,3.0 +2050,1.0,2.0 +2051,2.0,4.0 +2052,0.0,6.0 +2053,2.0,6.0 +2054,0.0,2.0 +2055,0.0,5.0 +2056,3.0,6.0 +2057,0.0,7.0 +2058,2.0,9.0 +2059,2.0,6.0 +2060,1.0,4.0 +2061,2.0,1.0 +2062,1.0,5.0 +2063,1.0,6.0 +2064,2.0,6.0 +2065,2.0,3.0 +2066,2.0,2.0 +2067,2.0,3.0 +2068,3.0,1.0 +2069,4.0,3.0 +2070,1.0,5.0 +2071,1.0,5.0 +2072,3.0,1.0 +2073,2.0,4.0 +2074,3.0,6.0 +2075,2.0,3.0 +2076,0.0,6.0 +2077,0.0,5.0 +2078,3.0,0.0 +2079,0.0,2.0 +2080,2.0,5.0 +2081,1.0,4.0 +2082,1.0,7.0 +2083,2.0,8.0 +2084,0.0,3.0 +2085,0.0,3.0 +2086,0.0,5.0 +2087,0.0,6.0 +2088,0.0,5.0 +2089,2.0,8.0 +2090,1.0,3.0 +2091,1.0,8.0 +2092,2.0,2.0 +2093,1.0,4.0 +2094,1.0,4.0 +2095,0.0,2.0 +2096,0.0,1.0 +2097,2.0,6.0 +2098,0.0,1.0 +2099,0.0,4.0 +2100,5.0,4.0 diff --git a/SurgeData/N=1000/614-peak+year_c.csv b/SurgeData/614-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/614-peak+year_c.csv rename to SurgeData/614-peak+year_c.csv diff --git a/SurgeData/N=1000/614-peak+year_w.csv b/SurgeData/614-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/614-peak+year_w.csv rename to SurgeData/614-peak+year_w.csv diff --git a/SurgeData/N=1000/614-peak_c.csv b/SurgeData/614-peak_c.csv similarity index 100% rename from SurgeData/N=1000/614-peak_c.csv rename to SurgeData/614-peak_c.csv diff --git a/SurgeData/N=1000/614-peak_w.csv b/SurgeData/614-peak_w.csv similarity index 100% rename from SurgeData/N=1000/614-peak_w.csv rename to SurgeData/614-peak_w.csv diff --git a/SurgeData/N=1000/614-surge_c.csv b/SurgeData/614-surge_c.csv similarity index 100% rename from SurgeData/N=1000/614-surge_c.csv rename to SurgeData/614-surge_c.csv diff --git a/SurgeData/N=1000/614-surge_w.csv b/SurgeData/614-surge_w.csv similarity index 100% rename from SurgeData/N=1000/614-surge_w.csv rename to SurgeData/614-surge_w.csv diff --git a/SurgeData/N=1000/614-time_c.csv b/SurgeData/614-time_c.csv similarity index 100% rename from SurgeData/N=1000/614-time_c.csv rename to SurgeData/614-time_c.csv diff --git a/SurgeData/N=1000/614-time_w.csv b/SurgeData/614-time_w.csv similarity index 100% rename from SurgeData/N=1000/614-time_w.csv rename to SurgeData/614-time_w.csv diff --git a/SurgeData/N=1000/614-waterlevel_c.csv b/SurgeData/614-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/614-waterlevel_c.csv rename to SurgeData/614-waterlevel_c.csv diff --git a/SurgeData/N=1000/614-waterlevel_w.csv b/SurgeData/614-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/614-waterlevel_w.csv rename to SurgeData/614-waterlevel_w.csv diff --git a/SurgeData/615-num_storm.csv b/SurgeData/615-num_storm.csv new file mode 100644 index 00000000..454b5c1f --- /dev/null +++ b/SurgeData/615-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,0.0,6.0 +2022,2.0,12.0 +2023,3.0,8.0 +2024,3.0,4.0 +2025,0.0,5.0 +2026,2.0,6.0 +2027,0.0,3.0 +2028,2.0,4.0 +2029,5.0,3.0 +2030,3.0,5.0 +2031,2.0,4.0 +2032,3.0,4.0 +2033,1.0,3.0 +2034,2.0,5.0 +2035,0.0,2.0 +2036,0.0,3.0 +2037,1.0,8.0 +2038,3.0,2.0 +2039,0.0,2.0 +2040,2.0,5.0 +2041,1.0,2.0 +2042,5.0,5.0 +2043,2.0,2.0 +2044,0.0,4.0 +2045,2.0,4.0 +2046,2.0,3.0 +2047,1.0,2.0 +2048,3.0,4.0 +2049,2.0,3.0 +2050,2.0,4.0 +2051,1.0,1.0 +2052,1.0,1.0 +2053,1.0,3.0 +2054,4.0,6.0 +2055,2.0,3.0 +2056,1.0,5.0 +2057,5.0,5.0 +2058,1.0,3.0 +2059,0.0,2.0 +2060,0.0,4.0 +2061,1.0,4.0 +2062,2.0,4.0 +2063,4.0,4.0 +2064,3.0,2.0 +2065,1.0,3.0 +2066,0.0,6.0 +2067,0.0,3.0 +2068,3.0,5.0 +2069,1.0,4.0 +2070,2.0,0.0 +2071,1.0,2.0 +2072,1.0,7.0 +2073,1.0,5.0 +2074,2.0,3.0 +2075,3.0,5.0 +2076,1.0,3.0 +2077,3.0,4.0 +2078,1.0,4.0 +2079,0.0,2.0 +2080,2.0,4.0 +2081,2.0,5.0 +2082,0.0,5.0 +2083,1.0,5.0 +2084,1.0,3.0 +2085,1.0,6.0 +2086,0.0,5.0 +2087,0.0,5.0 +2088,2.0,2.0 +2089,3.0,3.0 +2090,1.0,6.0 +2091,0.0,1.0 +2092,0.0,4.0 +2093,2.0,4.0 +2094,0.0,6.0 +2095,2.0,4.0 +2096,3.0,6.0 +2097,1.0,6.0 +2098,2.0,4.0 +2099,1.0,4.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/615-peak+year_c.csv b/SurgeData/615-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/615-peak+year_c.csv rename to SurgeData/615-peak+year_c.csv diff --git a/SurgeData/N=1000/615-peak+year_w.csv b/SurgeData/615-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/615-peak+year_w.csv rename to SurgeData/615-peak+year_w.csv diff --git a/SurgeData/N=1000/615-peak_c.csv b/SurgeData/615-peak_c.csv similarity index 100% rename from SurgeData/N=1000/615-peak_c.csv rename to SurgeData/615-peak_c.csv diff --git a/SurgeData/N=1000/615-peak_w.csv b/SurgeData/615-peak_w.csv similarity index 100% rename from SurgeData/N=1000/615-peak_w.csv rename to SurgeData/615-peak_w.csv diff --git a/SurgeData/N=1000/615-surge_c.csv b/SurgeData/615-surge_c.csv similarity index 100% rename from SurgeData/N=1000/615-surge_c.csv rename to SurgeData/615-surge_c.csv diff --git a/SurgeData/N=1000/615-surge_w.csv b/SurgeData/615-surge_w.csv similarity index 100% rename from SurgeData/N=1000/615-surge_w.csv rename to SurgeData/615-surge_w.csv diff --git a/SurgeData/N=1000/615-time_c.csv b/SurgeData/615-time_c.csv similarity index 100% rename from SurgeData/N=1000/615-time_c.csv rename to SurgeData/615-time_c.csv diff --git a/SurgeData/N=1000/615-time_w.csv b/SurgeData/615-time_w.csv similarity index 100% rename from SurgeData/N=1000/615-time_w.csv rename to SurgeData/615-time_w.csv diff --git a/SurgeData/N=1000/615-waterlevel_c.csv b/SurgeData/615-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/615-waterlevel_c.csv rename to SurgeData/615-waterlevel_c.csv diff --git a/SurgeData/N=1000/615-waterlevel_w.csv b/SurgeData/615-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/615-waterlevel_w.csv rename to SurgeData/615-waterlevel_w.csv diff --git a/SurgeData/N=1000/616-peak+year_c.csv b/SurgeData/616-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/616-peak+year_c.csv rename to SurgeData/616-peak+year_c.csv diff --git a/SurgeData/N=1000/616-peak+year_w.csv b/SurgeData/616-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/616-peak+year_w.csv rename to SurgeData/616-peak+year_w.csv diff --git a/SurgeData/N=1000/616-peak_c.csv b/SurgeData/616-peak_c.csv similarity index 100% rename from SurgeData/N=1000/616-peak_c.csv rename to SurgeData/616-peak_c.csv diff --git a/SurgeData/N=1000/616-peak_w.csv b/SurgeData/616-peak_w.csv similarity index 100% rename from SurgeData/N=1000/616-peak_w.csv rename to SurgeData/616-peak_w.csv diff --git a/SurgeData/N=1000/616-surge_c.csv b/SurgeData/616-surge_c.csv similarity index 100% rename from SurgeData/N=1000/616-surge_c.csv rename to SurgeData/616-surge_c.csv diff --git a/SurgeData/N=1000/616-surge_w.csv b/SurgeData/616-surge_w.csv similarity index 100% rename from SurgeData/N=1000/616-surge_w.csv rename to SurgeData/616-surge_w.csv diff --git a/SurgeData/N=1000/616-time_c.csv b/SurgeData/616-time_c.csv similarity index 100% rename from SurgeData/N=1000/616-time_c.csv rename to SurgeData/616-time_c.csv diff --git a/SurgeData/N=1000/616-time_w.csv b/SurgeData/616-time_w.csv similarity index 100% rename from SurgeData/N=1000/616-time_w.csv rename to SurgeData/616-time_w.csv diff --git a/SurgeData/N=1000/616-waterlevel_c.csv b/SurgeData/616-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/616-waterlevel_c.csv rename to SurgeData/616-waterlevel_c.csv diff --git a/SurgeData/N=1000/616-waterlevel_w.csv b/SurgeData/616-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/616-waterlevel_w.csv rename to SurgeData/616-waterlevel_w.csv diff --git a/SurgeData/N=1000/617-peak+year_c.csv b/SurgeData/617-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/617-peak+year_c.csv rename to SurgeData/617-peak+year_c.csv diff --git a/SurgeData/N=1000/617-peak+year_w.csv b/SurgeData/617-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/617-peak+year_w.csv rename to SurgeData/617-peak+year_w.csv diff --git a/SurgeData/N=1000/617-peak_c.csv b/SurgeData/617-peak_c.csv similarity index 100% rename from SurgeData/N=1000/617-peak_c.csv rename to SurgeData/617-peak_c.csv diff --git a/SurgeData/N=1000/617-peak_w.csv b/SurgeData/617-peak_w.csv similarity index 100% rename from SurgeData/N=1000/617-peak_w.csv rename to SurgeData/617-peak_w.csv diff --git a/SurgeData/N=1000/617-surge_c.csv b/SurgeData/617-surge_c.csv similarity index 100% rename from SurgeData/N=1000/617-surge_c.csv rename to SurgeData/617-surge_c.csv diff --git a/SurgeData/N=1000/617-surge_w.csv b/SurgeData/617-surge_w.csv similarity index 100% rename from SurgeData/N=1000/617-surge_w.csv rename to SurgeData/617-surge_w.csv diff --git a/SurgeData/N=1000/617-time_c.csv b/SurgeData/617-time_c.csv similarity index 100% rename from SurgeData/N=1000/617-time_c.csv rename to SurgeData/617-time_c.csv diff --git a/SurgeData/N=1000/617-time_w.csv b/SurgeData/617-time_w.csv similarity index 100% rename from SurgeData/N=1000/617-time_w.csv rename to SurgeData/617-time_w.csv diff --git a/SurgeData/N=1000/617-waterlevel_c.csv b/SurgeData/617-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/617-waterlevel_c.csv rename to SurgeData/617-waterlevel_c.csv diff --git a/SurgeData/N=1000/617-waterlevel_w.csv b/SurgeData/617-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/617-waterlevel_w.csv rename to SurgeData/617-waterlevel_w.csv diff --git a/SurgeData/N=1000/618-peak+year_c.csv b/SurgeData/618-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/618-peak+year_c.csv rename to SurgeData/618-peak+year_c.csv diff --git a/SurgeData/N=1000/618-peak+year_w.csv b/SurgeData/618-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/618-peak+year_w.csv rename to SurgeData/618-peak+year_w.csv diff --git a/SurgeData/N=1000/618-peak_c.csv b/SurgeData/618-peak_c.csv similarity index 100% rename from SurgeData/N=1000/618-peak_c.csv rename to SurgeData/618-peak_c.csv diff --git a/SurgeData/N=1000/618-peak_w.csv b/SurgeData/618-peak_w.csv similarity index 100% rename from SurgeData/N=1000/618-peak_w.csv rename to SurgeData/618-peak_w.csv diff --git a/SurgeData/N=1000/618-surge_c.csv b/SurgeData/618-surge_c.csv similarity index 100% rename from SurgeData/N=1000/618-surge_c.csv rename to SurgeData/618-surge_c.csv diff --git a/SurgeData/N=1000/618-surge_w.csv b/SurgeData/618-surge_w.csv similarity index 100% rename from SurgeData/N=1000/618-surge_w.csv rename to SurgeData/618-surge_w.csv diff --git a/SurgeData/N=1000/618-time_c.csv b/SurgeData/618-time_c.csv similarity index 100% rename from SurgeData/N=1000/618-time_c.csv rename to SurgeData/618-time_c.csv diff --git a/SurgeData/N=1000/618-time_w.csv b/SurgeData/618-time_w.csv similarity index 100% rename from SurgeData/N=1000/618-time_w.csv rename to SurgeData/618-time_w.csv diff --git a/SurgeData/N=1000/618-waterlevel_c.csv b/SurgeData/618-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/618-waterlevel_c.csv rename to SurgeData/618-waterlevel_c.csv diff --git a/SurgeData/N=1000/618-waterlevel_w.csv b/SurgeData/618-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/618-waterlevel_w.csv rename to SurgeData/618-waterlevel_w.csv diff --git a/SurgeData/619-num_storm.csv b/SurgeData/619-num_storm.csv new file mode 100644 index 00000000..3dea2c38 --- /dev/null +++ b/SurgeData/619-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,3.0 +2022,1.0,4.0 +2023,3.0,1.0 +2024,0.0,6.0 +2025,1.0,1.0 +2026,2.0,6.0 +2027,1.0,4.0 +2028,3.0,6.0 +2029,4.0,5.0 +2030,3.0,3.0 +2031,5.0,6.0 +2032,2.0,6.0 +2033,2.0,6.0 +2034,0.0,3.0 +2035,3.0,4.0 +2036,1.0,5.0 +2037,2.0,3.0 +2038,1.0,2.0 +2039,0.0,6.0 +2040,1.0,7.0 +2041,1.0,5.0 +2042,2.0,8.0 +2043,1.0,4.0 +2044,2.0,4.0 +2045,1.0,10.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,3.0,1.0 +2049,1.0,3.0 +2050,0.0,3.0 +2051,3.0,8.0 +2052,1.0,4.0 +2053,2.0,7.0 +2054,0.0,4.0 +2055,1.0,1.0 +2056,2.0,4.0 +2057,3.0,4.0 +2058,0.0,6.0 +2059,3.0,1.0 +2060,1.0,4.0 +2061,0.0,3.0 +2062,0.0,5.0 +2063,0.0,7.0 +2064,3.0,2.0 +2065,3.0,6.0 +2066,0.0,4.0 +2067,1.0,10.0 +2068,3.0,4.0 +2069,3.0,1.0 +2070,2.0,6.0 +2071,4.0,6.0 +2072,3.0,2.0 +2073,2.0,2.0 +2074,2.0,8.0 +2075,0.0,8.0 +2076,4.0,4.0 +2077,3.0,5.0 +2078,3.0,5.0 +2079,1.0,1.0 +2080,1.0,1.0 +2081,1.0,5.0 +2082,4.0,10.0 +2083,2.0,2.0 +2084,0.0,5.0 +2085,0.0,5.0 +2086,2.0,4.0 +2087,1.0,2.0 +2088,2.0,5.0 +2089,0.0,1.0 +2090,1.0,5.0 +2091,0.0,6.0 +2092,1.0,10.0 +2093,2.0,2.0 +2094,0.0,9.0 +2095,1.0,5.0 +2096,1.0,6.0 +2097,4.0,2.0 +2098,2.0,7.0 +2099,1.0,6.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/619-peak+year_c.csv b/SurgeData/619-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/619-peak+year_c.csv rename to SurgeData/619-peak+year_c.csv diff --git a/SurgeData/N=1000/619-peak+year_w.csv b/SurgeData/619-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/619-peak+year_w.csv rename to SurgeData/619-peak+year_w.csv diff --git a/SurgeData/N=1000/619-peak_c.csv b/SurgeData/619-peak_c.csv similarity index 100% rename from SurgeData/N=1000/619-peak_c.csv rename to SurgeData/619-peak_c.csv diff --git a/SurgeData/N=1000/619-peak_w.csv b/SurgeData/619-peak_w.csv similarity index 100% rename from SurgeData/N=1000/619-peak_w.csv rename to SurgeData/619-peak_w.csv diff --git a/SurgeData/N=1000/619-surge_c.csv b/SurgeData/619-surge_c.csv similarity index 100% rename from SurgeData/N=1000/619-surge_c.csv rename to SurgeData/619-surge_c.csv diff --git a/SurgeData/N=1000/619-surge_w.csv b/SurgeData/619-surge_w.csv similarity index 100% rename from SurgeData/N=1000/619-surge_w.csv rename to SurgeData/619-surge_w.csv diff --git a/SurgeData/N=1000/619-time_c.csv b/SurgeData/619-time_c.csv similarity index 100% rename from SurgeData/N=1000/619-time_c.csv rename to SurgeData/619-time_c.csv diff --git a/SurgeData/N=1000/619-time_w.csv b/SurgeData/619-time_w.csv similarity index 100% rename from SurgeData/N=1000/619-time_w.csv rename to SurgeData/619-time_w.csv diff --git a/SurgeData/N=1000/619-waterlevel_c.csv b/SurgeData/619-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/619-waterlevel_c.csv rename to SurgeData/619-waterlevel_c.csv diff --git a/SurgeData/N=1000/619-waterlevel_w.csv b/SurgeData/619-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/619-waterlevel_w.csv rename to SurgeData/619-waterlevel_w.csv diff --git a/SurgeData/62-num_storm.csv b/SurgeData/62-num_storm.csv new file mode 100644 index 00000000..74d8c7c0 --- /dev/null +++ b/SurgeData/62-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,1.0 +2022,1.0,4.0 +2023,0.0,1.0 +2024,2.0,2.0 +2025,2.0,6.0 +2026,0.0,5.0 +2027,3.0,8.0 +2028,0.0,5.0 +2029,1.0,7.0 +2030,4.0,3.0 +2031,1.0,2.0 +2032,3.0,5.0 +2033,3.0,4.0 +2034,4.0,4.0 +2035,0.0,7.0 +2036,3.0,1.0 +2037,3.0,4.0 +2038,2.0,2.0 +2039,2.0,9.0 +2040,2.0,5.0 +2041,0.0,1.0 +2042,1.0,6.0 +2043,1.0,5.0 +2044,1.0,1.0 +2045,1.0,4.0 +2046,3.0,2.0 +2047,2.0,3.0 +2048,2.0,4.0 +2049,1.0,3.0 +2050,0.0,4.0 +2051,1.0,4.0 +2052,1.0,6.0 +2053,2.0,4.0 +2054,0.0,5.0 +2055,2.0,3.0 +2056,0.0,3.0 +2057,1.0,7.0 +2058,0.0,4.0 +2059,2.0,2.0 +2060,2.0,6.0 +2061,1.0,2.0 +2062,0.0,0.0 +2063,3.0,4.0 +2064,1.0,3.0 +2065,2.0,5.0 +2066,2.0,6.0 +2067,0.0,5.0 +2068,3.0,4.0 +2069,1.0,8.0 +2070,5.0,5.0 +2071,0.0,2.0 +2072,0.0,4.0 +2073,0.0,7.0 +2074,1.0,5.0 +2075,1.0,4.0 +2076,1.0,5.0 +2077,1.0,8.0 +2078,2.0,4.0 +2079,0.0,2.0 +2080,3.0,5.0 +2081,0.0,6.0 +2082,0.0,4.0 +2083,2.0,9.0 +2084,4.0,3.0 +2085,2.0,5.0 +2086,0.0,6.0 +2087,3.0,4.0 +2088,1.0,2.0 +2089,2.0,5.0 +2090,1.0,1.0 +2091,0.0,1.0 +2092,1.0,2.0 +2093,3.0,8.0 +2094,3.0,8.0 +2095,3.0,5.0 +2096,0.0,2.0 +2097,1.0,8.0 +2098,1.0,3.0 +2099,2.0,5.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/62-peak+year_c.csv b/SurgeData/62-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/62-peak+year_c.csv rename to SurgeData/62-peak+year_c.csv diff --git a/SurgeData/N=1000/62-peak+year_w.csv b/SurgeData/62-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/62-peak+year_w.csv rename to SurgeData/62-peak+year_w.csv diff --git a/SurgeData/N=1000/62-peak_c.csv b/SurgeData/62-peak_c.csv similarity index 100% rename from SurgeData/N=1000/62-peak_c.csv rename to SurgeData/62-peak_c.csv diff --git a/SurgeData/N=1000/62-peak_w.csv b/SurgeData/62-peak_w.csv similarity index 100% rename from SurgeData/N=1000/62-peak_w.csv rename to SurgeData/62-peak_w.csv diff --git a/SurgeData/N=1000/62-surge_c.csv b/SurgeData/62-surge_c.csv similarity index 100% rename from SurgeData/N=1000/62-surge_c.csv rename to SurgeData/62-surge_c.csv diff --git a/SurgeData/N=1000/62-surge_w.csv b/SurgeData/62-surge_w.csv similarity index 100% rename from SurgeData/N=1000/62-surge_w.csv rename to SurgeData/62-surge_w.csv diff --git a/SurgeData/N=1000/62-time_c.csv b/SurgeData/62-time_c.csv similarity index 100% rename from SurgeData/N=1000/62-time_c.csv rename to SurgeData/62-time_c.csv diff --git a/SurgeData/N=1000/62-time_w.csv b/SurgeData/62-time_w.csv similarity index 100% rename from SurgeData/N=1000/62-time_w.csv rename to SurgeData/62-time_w.csv diff --git a/SurgeData/N=1000/62-waterlevel_c.csv b/SurgeData/62-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/62-waterlevel_c.csv rename to SurgeData/62-waterlevel_c.csv diff --git a/SurgeData/N=1000/62-waterlevel_w.csv b/SurgeData/62-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/62-waterlevel_w.csv rename to SurgeData/62-waterlevel_w.csv diff --git a/SurgeData/620-num_storm.csv b/SurgeData/620-num_storm.csv new file mode 100644 index 00000000..b27d8385 --- /dev/null +++ b/SurgeData/620-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,3.0,4.0 +2022,0.0,3.0 +2023,0.0,3.0 +2024,1.0,4.0 +2025,0.0,7.0 +2026,1.0,5.0 +2027,0.0,2.0 +2028,0.0,4.0 +2029,3.0,2.0 +2030,4.0,5.0 +2031,0.0,2.0 +2032,2.0,5.0 +2033,1.0,0.0 +2034,4.0,5.0 +2035,0.0,2.0 +2036,0.0,1.0 +2037,4.0,3.0 +2038,1.0,4.0 +2039,2.0,2.0 +2040,1.0,3.0 +2041,3.0,5.0 +2042,2.0,6.0 +2043,3.0,3.0 +2044,0.0,1.0 +2045,2.0,1.0 +2046,2.0,7.0 +2047,3.0,4.0 +2048,2.0,8.0 +2049,1.0,5.0 +2050,0.0,6.0 +2051,1.0,2.0 +2052,1.0,6.0 +2053,0.0,3.0 +2054,3.0,3.0 +2055,0.0,5.0 +2056,2.0,2.0 +2057,1.0,11.0 +2058,1.0,0.0 +2059,3.0,7.0 +2060,1.0,3.0 +2061,0.0,11.0 +2062,1.0,4.0 +2063,2.0,2.0 +2064,3.0,2.0 +2065,1.0,9.0 +2066,0.0,6.0 +2067,2.0,5.0 +2068,2.0,6.0 +2069,3.0,4.0 +2070,3.0,4.0 +2071,1.0,5.0 +2072,3.0,4.0 +2073,2.0,3.0 +2074,2.0,8.0 +2075,1.0,6.0 +2076,1.0,0.0 +2077,1.0,4.0 +2078,1.0,4.0 +2079,4.0,3.0 +2080,2.0,3.0 +2081,3.0,4.0 +2082,0.0,3.0 +2083,0.0,8.0 +2084,0.0,2.0 +2085,2.0,4.0 +2086,2.0,1.0 +2087,2.0,3.0 +2088,2.0,2.0 +2089,1.0,1.0 +2090,3.0,6.0 +2091,0.0,1.0 +2092,1.0,5.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,0.0,8.0 +2096,2.0,3.0 +2097,1.0,4.0 +2098,1.0,5.0 +2099,1.0,5.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/620-peak+year_c.csv b/SurgeData/620-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/620-peak+year_c.csv rename to SurgeData/620-peak+year_c.csv diff --git a/SurgeData/N=1000/620-peak+year_w.csv b/SurgeData/620-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/620-peak+year_w.csv rename to SurgeData/620-peak+year_w.csv diff --git a/SurgeData/N=1000/620-peak_c.csv b/SurgeData/620-peak_c.csv similarity index 100% rename from SurgeData/N=1000/620-peak_c.csv rename to SurgeData/620-peak_c.csv diff --git a/SurgeData/N=1000/620-peak_w.csv b/SurgeData/620-peak_w.csv similarity index 100% rename from SurgeData/N=1000/620-peak_w.csv rename to SurgeData/620-peak_w.csv diff --git a/SurgeData/N=1000/620-surge_c.csv b/SurgeData/620-surge_c.csv similarity index 100% rename from SurgeData/N=1000/620-surge_c.csv rename to SurgeData/620-surge_c.csv diff --git a/SurgeData/N=1000/620-surge_w.csv b/SurgeData/620-surge_w.csv similarity index 100% rename from SurgeData/N=1000/620-surge_w.csv rename to SurgeData/620-surge_w.csv diff --git a/SurgeData/N=1000/620-time_c.csv b/SurgeData/620-time_c.csv similarity index 100% rename from SurgeData/N=1000/620-time_c.csv rename to SurgeData/620-time_c.csv diff --git a/SurgeData/N=1000/620-time_w.csv b/SurgeData/620-time_w.csv similarity index 100% rename from SurgeData/N=1000/620-time_w.csv rename to SurgeData/620-time_w.csv diff --git a/SurgeData/N=1000/620-waterlevel_c.csv b/SurgeData/620-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/620-waterlevel_c.csv rename to SurgeData/620-waterlevel_c.csv diff --git a/SurgeData/N=1000/620-waterlevel_w.csv b/SurgeData/620-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/620-waterlevel_w.csv rename to SurgeData/620-waterlevel_w.csv diff --git a/SurgeData/621-num_storm.csv b/SurgeData/621-num_storm.csv new file mode 100644 index 00000000..a043adcd --- /dev/null +++ b/SurgeData/621-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,3.0,3.0 +2022,0.0,2.0 +2023,1.0,4.0 +2024,1.0,1.0 +2025,2.0,1.0 +2026,1.0,5.0 +2027,2.0,1.0 +2028,1.0,3.0 +2029,1.0,2.0 +2030,1.0,3.0 +2031,2.0,0.0 +2032,1.0,2.0 +2033,3.0,4.0 +2034,2.0,5.0 +2035,1.0,6.0 +2036,4.0,5.0 +2037,3.0,6.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,1.0,2.0 +2041,4.0,4.0 +2042,1.0,3.0 +2043,1.0,4.0 +2044,0.0,4.0 +2045,3.0,3.0 +2046,1.0,3.0 +2047,2.0,5.0 +2048,3.0,7.0 +2049,1.0,3.0 +2050,0.0,2.0 +2051,1.0,4.0 +2052,1.0,6.0 +2053,3.0,1.0 +2054,2.0,2.0 +2055,1.0,2.0 +2056,3.0,2.0 +2057,1.0,0.0 +2058,1.0,8.0 +2059,1.0,5.0 +2060,1.0,2.0 +2061,0.0,4.0 +2062,2.0,6.0 +2063,2.0,6.0 +2064,0.0,7.0 +2065,0.0,0.0 +2066,4.0,4.0 +2067,0.0,5.0 +2068,0.0,1.0 +2069,3.0,3.0 +2070,2.0,3.0 +2071,2.0,3.0 +2072,1.0,2.0 +2073,2.0,5.0 +2074,0.0,0.0 +2075,0.0,2.0 +2076,0.0,2.0 +2077,1.0,3.0 +2078,1.0,4.0 +2079,1.0,4.0 +2080,1.0,1.0 +2081,2.0,5.0 +2082,1.0,5.0 +2083,2.0,6.0 +2084,1.0,3.0 +2085,1.0,1.0 +2086,0.0,5.0 +2087,1.0,2.0 +2088,0.0,1.0 +2089,1.0,3.0 +2090,2.0,4.0 +2091,2.0,4.0 +2092,2.0,3.0 +2093,0.0,3.0 +2094,1.0,5.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,1.0,9.0 +2098,2.0,4.0 +2099,1.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/621-peak+year_c.csv b/SurgeData/621-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/621-peak+year_c.csv rename to SurgeData/621-peak+year_c.csv diff --git a/SurgeData/N=1000/621-peak+year_w.csv b/SurgeData/621-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/621-peak+year_w.csv rename to SurgeData/621-peak+year_w.csv diff --git a/SurgeData/N=1000/621-peak_c.csv b/SurgeData/621-peak_c.csv similarity index 100% rename from SurgeData/N=1000/621-peak_c.csv rename to SurgeData/621-peak_c.csv diff --git a/SurgeData/N=1000/621-peak_w.csv b/SurgeData/621-peak_w.csv similarity index 100% rename from SurgeData/N=1000/621-peak_w.csv rename to SurgeData/621-peak_w.csv diff --git a/SurgeData/N=1000/621-surge_c.csv b/SurgeData/621-surge_c.csv similarity index 100% rename from SurgeData/N=1000/621-surge_c.csv rename to SurgeData/621-surge_c.csv diff --git a/SurgeData/N=1000/621-surge_w.csv b/SurgeData/621-surge_w.csv similarity index 100% rename from SurgeData/N=1000/621-surge_w.csv rename to SurgeData/621-surge_w.csv diff --git a/SurgeData/N=1000/621-time_c.csv b/SurgeData/621-time_c.csv similarity index 100% rename from SurgeData/N=1000/621-time_c.csv rename to SurgeData/621-time_c.csv diff --git a/SurgeData/N=1000/621-time_w.csv b/SurgeData/621-time_w.csv similarity index 100% rename from SurgeData/N=1000/621-time_w.csv rename to SurgeData/621-time_w.csv diff --git a/SurgeData/N=1000/621-waterlevel_c.csv b/SurgeData/621-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/621-waterlevel_c.csv rename to SurgeData/621-waterlevel_c.csv diff --git a/SurgeData/N=1000/621-waterlevel_w.csv b/SurgeData/621-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/621-waterlevel_w.csv rename to SurgeData/621-waterlevel_w.csv diff --git a/SurgeData/N=1000/622-peak+year_c.csv b/SurgeData/622-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/622-peak+year_c.csv rename to SurgeData/622-peak+year_c.csv diff --git a/SurgeData/N=1000/622-peak+year_w.csv b/SurgeData/622-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/622-peak+year_w.csv rename to SurgeData/622-peak+year_w.csv diff --git a/SurgeData/N=1000/622-peak_c.csv b/SurgeData/622-peak_c.csv similarity index 100% rename from SurgeData/N=1000/622-peak_c.csv rename to SurgeData/622-peak_c.csv diff --git a/SurgeData/N=1000/622-peak_w.csv b/SurgeData/622-peak_w.csv similarity index 100% rename from SurgeData/N=1000/622-peak_w.csv rename to SurgeData/622-peak_w.csv diff --git a/SurgeData/N=1000/622-surge_c.csv b/SurgeData/622-surge_c.csv similarity index 100% rename from SurgeData/N=1000/622-surge_c.csv rename to SurgeData/622-surge_c.csv diff --git a/SurgeData/N=1000/622-surge_w.csv b/SurgeData/622-surge_w.csv similarity index 100% rename from SurgeData/N=1000/622-surge_w.csv rename to SurgeData/622-surge_w.csv diff --git a/SurgeData/N=1000/622-time_c.csv b/SurgeData/622-time_c.csv similarity index 100% rename from SurgeData/N=1000/622-time_c.csv rename to SurgeData/622-time_c.csv diff --git a/SurgeData/N=1000/622-time_w.csv b/SurgeData/622-time_w.csv similarity index 100% rename from SurgeData/N=1000/622-time_w.csv rename to SurgeData/622-time_w.csv diff --git a/SurgeData/N=1000/622-waterlevel_c.csv b/SurgeData/622-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/622-waterlevel_c.csv rename to SurgeData/622-waterlevel_c.csv diff --git a/SurgeData/N=1000/622-waterlevel_w.csv b/SurgeData/622-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/622-waterlevel_w.csv rename to SurgeData/622-waterlevel_w.csv diff --git a/SurgeData/623-num_storm.csv b/SurgeData/623-num_storm.csv new file mode 100644 index 00000000..e01b6b20 --- /dev/null +++ b/SurgeData/623-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,4.0,5.0 +2022,2.0,3.0 +2023,0.0,4.0 +2024,0.0,3.0 +2025,2.0,6.0 +2026,0.0,4.0 +2027,3.0,7.0 +2028,1.0,3.0 +2029,2.0,1.0 +2030,0.0,1.0 +2031,1.0,3.0 +2032,1.0,2.0 +2033,2.0,5.0 +2034,2.0,3.0 +2035,0.0,2.0 +2036,3.0,8.0 +2037,0.0,3.0 +2038,0.0,3.0 +2039,4.0,7.0 +2040,0.0,0.0 +2041,2.0,6.0 +2042,0.0,7.0 +2043,2.0,4.0 +2044,1.0,2.0 +2045,4.0,5.0 +2046,1.0,4.0 +2047,2.0,2.0 +2048,0.0,4.0 +2049,1.0,4.0 +2050,0.0,3.0 +2051,1.0,5.0 +2052,1.0,1.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,4.0,3.0 +2056,2.0,7.0 +2057,1.0,8.0 +2058,0.0,7.0 +2059,0.0,6.0 +2060,0.0,2.0 +2061,1.0,3.0 +2062,1.0,3.0 +2063,3.0,3.0 +2064,2.0,3.0 +2065,2.0,5.0 +2066,2.0,3.0 +2067,1.0,3.0 +2068,2.0,4.0 +2069,3.0,3.0 +2070,4.0,3.0 +2071,1.0,7.0 +2072,2.0,3.0 +2073,1.0,3.0 +2074,1.0,3.0 +2075,2.0,6.0 +2076,2.0,6.0 +2077,1.0,5.0 +2078,0.0,4.0 +2079,5.0,4.0 +2080,0.0,4.0 +2081,0.0,4.0 +2082,4.0,4.0 +2083,5.0,4.0 +2084,3.0,4.0 +2085,1.0,6.0 +2086,4.0,5.0 +2087,0.0,7.0 +2088,0.0,2.0 +2089,0.0,8.0 +2090,6.0,5.0 +2091,1.0,7.0 +2092,1.0,9.0 +2093,0.0,4.0 +2094,1.0,5.0 +2095,2.0,4.0 +2096,1.0,7.0 +2097,3.0,1.0 +2098,1.0,9.0 +2099,3.0,2.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/623-peak+year_c.csv b/SurgeData/623-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/623-peak+year_c.csv rename to SurgeData/623-peak+year_c.csv diff --git a/SurgeData/N=1000/623-peak+year_w.csv b/SurgeData/623-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/623-peak+year_w.csv rename to SurgeData/623-peak+year_w.csv diff --git a/SurgeData/N=1000/623-peak_c.csv b/SurgeData/623-peak_c.csv similarity index 100% rename from SurgeData/N=1000/623-peak_c.csv rename to SurgeData/623-peak_c.csv diff --git a/SurgeData/N=1000/623-peak_w.csv b/SurgeData/623-peak_w.csv similarity index 100% rename from SurgeData/N=1000/623-peak_w.csv rename to SurgeData/623-peak_w.csv diff --git a/SurgeData/N=1000/623-surge_c.csv b/SurgeData/623-surge_c.csv similarity index 100% rename from SurgeData/N=1000/623-surge_c.csv rename to SurgeData/623-surge_c.csv diff --git a/SurgeData/N=1000/623-surge_w.csv b/SurgeData/623-surge_w.csv similarity index 100% rename from SurgeData/N=1000/623-surge_w.csv rename to SurgeData/623-surge_w.csv diff --git a/SurgeData/N=1000/623-time_c.csv b/SurgeData/623-time_c.csv similarity index 100% rename from SurgeData/N=1000/623-time_c.csv rename to SurgeData/623-time_c.csv diff --git a/SurgeData/N=1000/623-time_w.csv b/SurgeData/623-time_w.csv similarity index 100% rename from SurgeData/N=1000/623-time_w.csv rename to SurgeData/623-time_w.csv diff --git a/SurgeData/N=1000/623-waterlevel_c.csv b/SurgeData/623-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/623-waterlevel_c.csv rename to SurgeData/623-waterlevel_c.csv diff --git a/SurgeData/N=1000/623-waterlevel_w.csv b/SurgeData/623-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/623-waterlevel_w.csv rename to SurgeData/623-waterlevel_w.csv diff --git a/SurgeData/624-num_storm.csv b/SurgeData/624-num_storm.csv new file mode 100644 index 00000000..87184e78 --- /dev/null +++ b/SurgeData/624-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,6.0 +2022,4.0,7.0 +2023,3.0,6.0 +2024,1.0,4.0 +2025,2.0,6.0 +2026,1.0,4.0 +2027,1.0,1.0 +2028,2.0,4.0 +2029,3.0,4.0 +2030,2.0,5.0 +2031,1.0,6.0 +2032,1.0,8.0 +2033,2.0,2.0 +2034,3.0,5.0 +2035,1.0,8.0 +2036,1.0,4.0 +2037,0.0,3.0 +2038,0.0,4.0 +2039,1.0,1.0 +2040,2.0,5.0 +2041,1.0,3.0 +2042,0.0,3.0 +2043,6.0,3.0 +2044,1.0,4.0 +2045,2.0,5.0 +2046,0.0,4.0 +2047,0.0,3.0 +2048,2.0,3.0 +2049,3.0,6.0 +2050,3.0,3.0 +2051,1.0,3.0 +2052,0.0,4.0 +2053,0.0,5.0 +2054,0.0,6.0 +2055,2.0,2.0 +2056,1.0,2.0 +2057,2.0,9.0 +2058,2.0,6.0 +2059,0.0,3.0 +2060,2.0,2.0 +2061,2.0,7.0 +2062,2.0,8.0 +2063,0.0,7.0 +2064,1.0,3.0 +2065,1.0,7.0 +2066,4.0,3.0 +2067,1.0,3.0 +2068,0.0,3.0 +2069,1.0,3.0 +2070,0.0,4.0 +2071,0.0,6.0 +2072,1.0,4.0 +2073,3.0,5.0 +2074,3.0,5.0 +2075,1.0,5.0 +2076,2.0,3.0 +2077,2.0,5.0 +2078,2.0,2.0 +2079,4.0,6.0 +2080,0.0,2.0 +2081,1.0,4.0 +2082,0.0,5.0 +2083,2.0,4.0 +2084,1.0,3.0 +2085,3.0,6.0 +2086,1.0,4.0 +2087,0.0,2.0 +2088,1.0,3.0 +2089,0.0,2.0 +2090,5.0,1.0 +2091,0.0,6.0 +2092,1.0,4.0 +2093,0.0,5.0 +2094,3.0,4.0 +2095,0.0,9.0 +2096,0.0,8.0 +2097,0.0,2.0 +2098,2.0,3.0 +2099,3.0,2.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/624-peak+year_c.csv b/SurgeData/624-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/624-peak+year_c.csv rename to SurgeData/624-peak+year_c.csv diff --git a/SurgeData/N=1000/624-peak+year_w.csv b/SurgeData/624-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/624-peak+year_w.csv rename to SurgeData/624-peak+year_w.csv diff --git a/SurgeData/N=1000/624-peak_c.csv b/SurgeData/624-peak_c.csv similarity index 100% rename from SurgeData/N=1000/624-peak_c.csv rename to SurgeData/624-peak_c.csv diff --git a/SurgeData/N=1000/624-peak_w.csv b/SurgeData/624-peak_w.csv similarity index 100% rename from SurgeData/N=1000/624-peak_w.csv rename to SurgeData/624-peak_w.csv diff --git a/SurgeData/N=1000/624-surge_c.csv b/SurgeData/624-surge_c.csv similarity index 100% rename from SurgeData/N=1000/624-surge_c.csv rename to SurgeData/624-surge_c.csv diff --git a/SurgeData/N=1000/624-surge_w.csv b/SurgeData/624-surge_w.csv similarity index 100% rename from SurgeData/N=1000/624-surge_w.csv rename to SurgeData/624-surge_w.csv diff --git a/SurgeData/N=1000/624-time_c.csv b/SurgeData/624-time_c.csv similarity index 100% rename from SurgeData/N=1000/624-time_c.csv rename to SurgeData/624-time_c.csv diff --git a/SurgeData/N=1000/624-time_w.csv b/SurgeData/624-time_w.csv similarity index 100% rename from SurgeData/N=1000/624-time_w.csv rename to SurgeData/624-time_w.csv diff --git a/SurgeData/N=1000/624-waterlevel_c.csv b/SurgeData/624-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/624-waterlevel_c.csv rename to SurgeData/624-waterlevel_c.csv diff --git a/SurgeData/N=1000/624-waterlevel_w.csv b/SurgeData/624-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/624-waterlevel_w.csv rename to SurgeData/624-waterlevel_w.csv diff --git a/SurgeData/625-num_storm.csv b/SurgeData/625-num_storm.csv new file mode 100644 index 00000000..85e65c12 --- /dev/null +++ b/SurgeData/625-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,5.0 +2022,1.0,3.0 +2023,0.0,3.0 +2024,6.0,6.0 +2025,2.0,5.0 +2026,2.0,3.0 +2027,1.0,8.0 +2028,1.0,4.0 +2029,0.0,0.0 +2030,1.0,4.0 +2031,0.0,2.0 +2032,3.0,4.0 +2033,0.0,4.0 +2034,4.0,2.0 +2035,3.0,3.0 +2036,3.0,2.0 +2037,0.0,1.0 +2038,0.0,1.0 +2039,1.0,5.0 +2040,0.0,0.0 +2041,0.0,3.0 +2042,1.0,3.0 +2043,1.0,3.0 +2044,2.0,7.0 +2045,3.0,0.0 +2046,3.0,5.0 +2047,1.0,2.0 +2048,4.0,3.0 +2049,1.0,5.0 +2050,3.0,1.0 +2051,5.0,4.0 +2052,1.0,4.0 +2053,5.0,1.0 +2054,4.0,6.0 +2055,3.0,4.0 +2056,1.0,8.0 +2057,1.0,5.0 +2058,4.0,1.0 +2059,1.0,4.0 +2060,0.0,5.0 +2061,0.0,4.0 +2062,2.0,5.0 +2063,2.0,4.0 +2064,0.0,3.0 +2065,2.0,5.0 +2066,1.0,2.0 +2067,4.0,2.0 +2068,1.0,4.0 +2069,2.0,5.0 +2070,4.0,5.0 +2071,1.0,4.0 +2072,0.0,1.0 +2073,3.0,2.0 +2074,2.0,3.0 +2075,0.0,0.0 +2076,3.0,4.0 +2077,1.0,2.0 +2078,0.0,12.0 +2079,3.0,6.0 +2080,1.0,5.0 +2081,1.0,0.0 +2082,2.0,5.0 +2083,1.0,5.0 +2084,3.0,4.0 +2085,0.0,2.0 +2086,2.0,7.0 +2087,0.0,5.0 +2088,4.0,4.0 +2089,2.0,5.0 +2090,1.0,4.0 +2091,2.0,3.0 +2092,2.0,2.0 +2093,0.0,5.0 +2094,1.0,5.0 +2095,3.0,3.0 +2096,0.0,1.0 +2097,0.0,3.0 +2098,2.0,4.0 +2099,2.0,4.0 +2100,4.0,7.0 diff --git a/SurgeData/N=1000/625-peak+year_c.csv b/SurgeData/625-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/625-peak+year_c.csv rename to SurgeData/625-peak+year_c.csv diff --git a/SurgeData/N=1000/625-peak+year_w.csv b/SurgeData/625-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/625-peak+year_w.csv rename to SurgeData/625-peak+year_w.csv diff --git a/SurgeData/N=1000/625-peak_c.csv b/SurgeData/625-peak_c.csv similarity index 100% rename from SurgeData/N=1000/625-peak_c.csv rename to SurgeData/625-peak_c.csv diff --git a/SurgeData/N=1000/625-peak_w.csv b/SurgeData/625-peak_w.csv similarity index 100% rename from SurgeData/N=1000/625-peak_w.csv rename to SurgeData/625-peak_w.csv diff --git a/SurgeData/N=1000/625-surge_c.csv b/SurgeData/625-surge_c.csv similarity index 100% rename from SurgeData/N=1000/625-surge_c.csv rename to SurgeData/625-surge_c.csv diff --git a/SurgeData/N=1000/625-surge_w.csv b/SurgeData/625-surge_w.csv similarity index 100% rename from SurgeData/N=1000/625-surge_w.csv rename to SurgeData/625-surge_w.csv diff --git a/SurgeData/N=1000/625-time_c.csv b/SurgeData/625-time_c.csv similarity index 100% rename from SurgeData/N=1000/625-time_c.csv rename to SurgeData/625-time_c.csv diff --git a/SurgeData/N=1000/625-time_w.csv b/SurgeData/625-time_w.csv similarity index 100% rename from SurgeData/N=1000/625-time_w.csv rename to SurgeData/625-time_w.csv diff --git a/SurgeData/N=1000/625-waterlevel_c.csv b/SurgeData/625-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/625-waterlevel_c.csv rename to SurgeData/625-waterlevel_c.csv diff --git a/SurgeData/N=1000/625-waterlevel_w.csv b/SurgeData/625-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/625-waterlevel_w.csv rename to SurgeData/625-waterlevel_w.csv diff --git a/SurgeData/626-num_storm.csv b/SurgeData/626-num_storm.csv new file mode 100644 index 00000000..cde84952 --- /dev/null +++ b/SurgeData/626-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,6.0 +2022,3.0,4.0 +2023,1.0,4.0 +2024,0.0,4.0 +2025,1.0,3.0 +2026,2.0,5.0 +2027,2.0,7.0 +2028,2.0,2.0 +2029,3.0,2.0 +2030,1.0,0.0 +2031,1.0,2.0 +2032,0.0,3.0 +2033,1.0,4.0 +2034,2.0,4.0 +2035,1.0,6.0 +2036,1.0,6.0 +2037,2.0,4.0 +2038,3.0,10.0 +2039,2.0,4.0 +2040,3.0,1.0 +2041,3.0,3.0 +2042,0.0,1.0 +2043,3.0,5.0 +2044,3.0,5.0 +2045,2.0,6.0 +2046,5.0,3.0 +2047,1.0,3.0 +2048,0.0,2.0 +2049,0.0,4.0 +2050,4.0,4.0 +2051,1.0,4.0 +2052,3.0,2.0 +2053,0.0,7.0 +2054,1.0,3.0 +2055,1.0,3.0 +2056,3.0,4.0 +2057,4.0,3.0 +2058,2.0,0.0 +2059,0.0,1.0 +2060,1.0,3.0 +2061,2.0,6.0 +2062,0.0,3.0 +2063,3.0,7.0 +2064,2.0,6.0 +2065,2.0,7.0 +2066,2.0,2.0 +2067,3.0,2.0 +2068,2.0,3.0 +2069,3.0,5.0 +2070,0.0,4.0 +2071,1.0,4.0 +2072,1.0,8.0 +2073,2.0,5.0 +2074,2.0,2.0 +2075,0.0,4.0 +2076,0.0,3.0 +2077,1.0,4.0 +2078,2.0,4.0 +2079,1.0,3.0 +2080,1.0,1.0 +2081,3.0,2.0 +2082,1.0,2.0 +2083,3.0,3.0 +2084,2.0,4.0 +2085,1.0,5.0 +2086,5.0,4.0 +2087,2.0,6.0 +2088,1.0,1.0 +2089,2.0,1.0 +2090,1.0,9.0 +2091,5.0,1.0 +2092,0.0,1.0 +2093,1.0,4.0 +2094,0.0,4.0 +2095,1.0,3.0 +2096,3.0,7.0 +2097,0.0,4.0 +2098,3.0,5.0 +2099,1.0,4.0 +2100,5.0,4.0 diff --git a/SurgeData/N=1000/626-peak+year_c.csv b/SurgeData/626-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/626-peak+year_c.csv rename to SurgeData/626-peak+year_c.csv diff --git a/SurgeData/N=1000/626-peak+year_w.csv b/SurgeData/626-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/626-peak+year_w.csv rename to SurgeData/626-peak+year_w.csv diff --git a/SurgeData/N=1000/626-peak_c.csv b/SurgeData/626-peak_c.csv similarity index 100% rename from SurgeData/N=1000/626-peak_c.csv rename to SurgeData/626-peak_c.csv diff --git a/SurgeData/N=1000/626-peak_w.csv b/SurgeData/626-peak_w.csv similarity index 100% rename from SurgeData/N=1000/626-peak_w.csv rename to SurgeData/626-peak_w.csv diff --git a/SurgeData/N=1000/626-surge_c.csv b/SurgeData/626-surge_c.csv similarity index 100% rename from SurgeData/N=1000/626-surge_c.csv rename to SurgeData/626-surge_c.csv diff --git a/SurgeData/N=1000/626-surge_w.csv b/SurgeData/626-surge_w.csv similarity index 100% rename from SurgeData/N=1000/626-surge_w.csv rename to SurgeData/626-surge_w.csv diff --git a/SurgeData/N=1000/626-time_c.csv b/SurgeData/626-time_c.csv similarity index 100% rename from SurgeData/N=1000/626-time_c.csv rename to SurgeData/626-time_c.csv diff --git a/SurgeData/N=1000/626-time_w.csv b/SurgeData/626-time_w.csv similarity index 100% rename from SurgeData/N=1000/626-time_w.csv rename to SurgeData/626-time_w.csv diff --git a/SurgeData/N=1000/626-waterlevel_c.csv b/SurgeData/626-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/626-waterlevel_c.csv rename to SurgeData/626-waterlevel_c.csv diff --git a/SurgeData/N=1000/626-waterlevel_w.csv b/SurgeData/626-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/626-waterlevel_w.csv rename to SurgeData/626-waterlevel_w.csv diff --git a/SurgeData/627-num_storm.csv b/SurgeData/627-num_storm.csv new file mode 100644 index 00000000..c38f1342 --- /dev/null +++ b/SurgeData/627-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,0.0 +2021,1.0,5.0 +2022,2.0,7.0 +2023,3.0,6.0 +2024,2.0,6.0 +2025,0.0,2.0 +2026,0.0,8.0 +2027,3.0,6.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,1.0,4.0 +2031,2.0,2.0 +2032,0.0,8.0 +2033,2.0,3.0 +2034,1.0,2.0 +2035,1.0,3.0 +2036,0.0,3.0 +2037,2.0,4.0 +2038,2.0,2.0 +2039,0.0,7.0 +2040,3.0,5.0 +2041,1.0,3.0 +2042,1.0,6.0 +2043,1.0,8.0 +2044,1.0,6.0 +2045,3.0,3.0 +2046,4.0,5.0 +2047,0.0,3.0 +2048,1.0,6.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,3.0,4.0 +2052,0.0,4.0 +2053,2.0,6.0 +2054,1.0,1.0 +2055,2.0,3.0 +2056,4.0,4.0 +2057,2.0,2.0 +2058,2.0,2.0 +2059,2.0,4.0 +2060,0.0,4.0 +2061,1.0,4.0 +2062,3.0,3.0 +2063,2.0,2.0 +2064,0.0,6.0 +2065,2.0,5.0 +2066,1.0,8.0 +2067,2.0,10.0 +2068,1.0,9.0 +2069,3.0,7.0 +2070,1.0,0.0 +2071,1.0,5.0 +2072,3.0,1.0 +2073,0.0,6.0 +2074,6.0,5.0 +2075,2.0,2.0 +2076,3.0,8.0 +2077,4.0,5.0 +2078,2.0,6.0 +2079,1.0,0.0 +2080,0.0,5.0 +2081,1.0,9.0 +2082,0.0,7.0 +2083,1.0,2.0 +2084,2.0,4.0 +2085,3.0,6.0 +2086,0.0,3.0 +2087,1.0,7.0 +2088,1.0,6.0 +2089,0.0,2.0 +2090,1.0,5.0 +2091,1.0,2.0 +2092,2.0,1.0 +2093,0.0,9.0 +2094,1.0,2.0 +2095,1.0,5.0 +2096,3.0,3.0 +2097,0.0,6.0 +2098,3.0,3.0 +2099,1.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/627-peak+year_c.csv b/SurgeData/627-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/627-peak+year_c.csv rename to SurgeData/627-peak+year_c.csv diff --git a/SurgeData/N=1000/627-peak+year_w.csv b/SurgeData/627-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/627-peak+year_w.csv rename to SurgeData/627-peak+year_w.csv diff --git a/SurgeData/N=1000/627-peak_c.csv b/SurgeData/627-peak_c.csv similarity index 100% rename from SurgeData/N=1000/627-peak_c.csv rename to SurgeData/627-peak_c.csv diff --git a/SurgeData/N=1000/627-peak_w.csv b/SurgeData/627-peak_w.csv similarity index 100% rename from SurgeData/N=1000/627-peak_w.csv rename to SurgeData/627-peak_w.csv diff --git a/SurgeData/N=1000/627-surge_c.csv b/SurgeData/627-surge_c.csv similarity index 100% rename from SurgeData/N=1000/627-surge_c.csv rename to SurgeData/627-surge_c.csv diff --git a/SurgeData/N=1000/627-surge_w.csv b/SurgeData/627-surge_w.csv similarity index 100% rename from SurgeData/N=1000/627-surge_w.csv rename to SurgeData/627-surge_w.csv diff --git a/SurgeData/N=1000/627-time_c.csv b/SurgeData/627-time_c.csv similarity index 100% rename from SurgeData/N=1000/627-time_c.csv rename to SurgeData/627-time_c.csv diff --git a/SurgeData/N=1000/627-time_w.csv b/SurgeData/627-time_w.csv similarity index 100% rename from SurgeData/N=1000/627-time_w.csv rename to SurgeData/627-time_w.csv diff --git a/SurgeData/N=1000/627-waterlevel_c.csv b/SurgeData/627-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/627-waterlevel_c.csv rename to SurgeData/627-waterlevel_c.csv diff --git a/SurgeData/N=1000/627-waterlevel_w.csv b/SurgeData/627-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/627-waterlevel_w.csv rename to SurgeData/627-waterlevel_w.csv diff --git a/SurgeData/N=1000/628-peak+year_c.csv b/SurgeData/628-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/628-peak+year_c.csv rename to SurgeData/628-peak+year_c.csv diff --git a/SurgeData/N=1000/628-peak+year_w.csv b/SurgeData/628-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/628-peak+year_w.csv rename to SurgeData/628-peak+year_w.csv diff --git a/SurgeData/N=1000/628-peak_c.csv b/SurgeData/628-peak_c.csv similarity index 100% rename from SurgeData/N=1000/628-peak_c.csv rename to SurgeData/628-peak_c.csv diff --git a/SurgeData/N=1000/628-peak_w.csv b/SurgeData/628-peak_w.csv similarity index 100% rename from SurgeData/N=1000/628-peak_w.csv rename to SurgeData/628-peak_w.csv diff --git a/SurgeData/N=1000/628-surge_c.csv b/SurgeData/628-surge_c.csv similarity index 100% rename from SurgeData/N=1000/628-surge_c.csv rename to SurgeData/628-surge_c.csv diff --git a/SurgeData/N=1000/628-surge_w.csv b/SurgeData/628-surge_w.csv similarity index 100% rename from SurgeData/N=1000/628-surge_w.csv rename to SurgeData/628-surge_w.csv diff --git a/SurgeData/N=1000/628-time_c.csv b/SurgeData/628-time_c.csv similarity index 100% rename from SurgeData/N=1000/628-time_c.csv rename to SurgeData/628-time_c.csv diff --git a/SurgeData/N=1000/628-time_w.csv b/SurgeData/628-time_w.csv similarity index 100% rename from SurgeData/N=1000/628-time_w.csv rename to SurgeData/628-time_w.csv diff --git a/SurgeData/N=1000/628-waterlevel_c.csv b/SurgeData/628-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/628-waterlevel_c.csv rename to SurgeData/628-waterlevel_c.csv diff --git a/SurgeData/N=1000/628-waterlevel_w.csv b/SurgeData/628-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/628-waterlevel_w.csv rename to SurgeData/628-waterlevel_w.csv diff --git a/SurgeData/629-num_storm.csv b/SurgeData/629-num_storm.csv new file mode 100644 index 00000000..777620cf --- /dev/null +++ b/SurgeData/629-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,3.0,2.0 +2022,0.0,2.0 +2023,2.0,3.0 +2024,2.0,4.0 +2025,4.0,5.0 +2026,2.0,5.0 +2027,0.0,4.0 +2028,2.0,3.0 +2029,0.0,3.0 +2030,2.0,3.0 +2031,1.0,5.0 +2032,2.0,6.0 +2033,0.0,5.0 +2034,2.0,5.0 +2035,1.0,7.0 +2036,0.0,1.0 +2037,2.0,4.0 +2038,1.0,7.0 +2039,1.0,3.0 +2040,4.0,4.0 +2041,1.0,7.0 +2042,5.0,1.0 +2043,0.0,2.0 +2044,0.0,2.0 +2045,0.0,6.0 +2046,2.0,5.0 +2047,1.0,5.0 +2048,2.0,7.0 +2049,2.0,3.0 +2050,0.0,3.0 +2051,1.0,2.0 +2052,0.0,3.0 +2053,3.0,7.0 +2054,1.0,3.0 +2055,4.0,4.0 +2056,2.0,5.0 +2057,3.0,3.0 +2058,3.0,4.0 +2059,1.0,5.0 +2060,2.0,0.0 +2061,1.0,3.0 +2062,1.0,7.0 +2063,2.0,6.0 +2064,0.0,6.0 +2065,1.0,7.0 +2066,0.0,6.0 +2067,2.0,4.0 +2068,1.0,2.0 +2069,1.0,0.0 +2070,1.0,2.0 +2071,1.0,5.0 +2072,1.0,2.0 +2073,4.0,5.0 +2074,3.0,4.0 +2075,1.0,7.0 +2076,0.0,2.0 +2077,2.0,4.0 +2078,1.0,4.0 +2079,0.0,4.0 +2080,2.0,6.0 +2081,0.0,7.0 +2082,3.0,4.0 +2083,2.0,4.0 +2084,1.0,4.0 +2085,1.0,8.0 +2086,2.0,4.0 +2087,4.0,4.0 +2088,0.0,3.0 +2089,0.0,4.0 +2090,2.0,5.0 +2091,2.0,4.0 +2092,0.0,3.0 +2093,3.0,2.0 +2094,3.0,4.0 +2095,1.0,2.0 +2096,0.0,1.0 +2097,1.0,7.0 +2098,1.0,2.0 +2099,0.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/629-peak+year_c.csv b/SurgeData/629-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/629-peak+year_c.csv rename to SurgeData/629-peak+year_c.csv diff --git a/SurgeData/N=1000/629-peak+year_w.csv b/SurgeData/629-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/629-peak+year_w.csv rename to SurgeData/629-peak+year_w.csv diff --git a/SurgeData/N=1000/629-peak_c.csv b/SurgeData/629-peak_c.csv similarity index 100% rename from SurgeData/N=1000/629-peak_c.csv rename to SurgeData/629-peak_c.csv diff --git a/SurgeData/N=1000/629-peak_w.csv b/SurgeData/629-peak_w.csv similarity index 100% rename from SurgeData/N=1000/629-peak_w.csv rename to SurgeData/629-peak_w.csv diff --git a/SurgeData/N=1000/629-surge_c.csv b/SurgeData/629-surge_c.csv similarity index 100% rename from SurgeData/N=1000/629-surge_c.csv rename to SurgeData/629-surge_c.csv diff --git a/SurgeData/N=1000/629-surge_w.csv b/SurgeData/629-surge_w.csv similarity index 100% rename from SurgeData/N=1000/629-surge_w.csv rename to SurgeData/629-surge_w.csv diff --git a/SurgeData/N=1000/629-time_c.csv b/SurgeData/629-time_c.csv similarity index 100% rename from SurgeData/N=1000/629-time_c.csv rename to SurgeData/629-time_c.csv diff --git a/SurgeData/N=1000/629-time_w.csv b/SurgeData/629-time_w.csv similarity index 100% rename from SurgeData/N=1000/629-time_w.csv rename to SurgeData/629-time_w.csv diff --git a/SurgeData/N=1000/629-waterlevel_c.csv b/SurgeData/629-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/629-waterlevel_c.csv rename to SurgeData/629-waterlevel_c.csv diff --git a/SurgeData/N=1000/629-waterlevel_w.csv b/SurgeData/629-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/629-waterlevel_w.csv rename to SurgeData/629-waterlevel_w.csv diff --git a/SurgeData/63-num_storm.csv b/SurgeData/63-num_storm.csv new file mode 100644 index 00000000..2f409156 --- /dev/null +++ b/SurgeData/63-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,3.0,4.0 +2022,1.0,2.0 +2023,3.0,4.0 +2024,3.0,6.0 +2025,1.0,5.0 +2026,3.0,2.0 +2027,6.0,1.0 +2028,0.0,4.0 +2029,1.0,7.0 +2030,1.0,2.0 +2031,1.0,4.0 +2032,1.0,4.0 +2033,2.0,4.0 +2034,0.0,3.0 +2035,1.0,7.0 +2036,2.0,5.0 +2037,1.0,5.0 +2038,4.0,1.0 +2039,1.0,1.0 +2040,0.0,3.0 +2041,0.0,4.0 +2042,1.0,5.0 +2043,4.0,8.0 +2044,2.0,3.0 +2045,1.0,5.0 +2046,0.0,2.0 +2047,3.0,2.0 +2048,4.0,3.0 +2049,1.0,7.0 +2050,2.0,2.0 +2051,2.0,6.0 +2052,1.0,4.0 +2053,3.0,7.0 +2054,1.0,5.0 +2055,1.0,4.0 +2056,1.0,3.0 +2057,1.0,5.0 +2058,2.0,2.0 +2059,4.0,2.0 +2060,2.0,1.0 +2061,0.0,4.0 +2062,3.0,7.0 +2063,2.0,6.0 +2064,2.0,4.0 +2065,1.0,6.0 +2066,0.0,4.0 +2067,0.0,5.0 +2068,0.0,3.0 +2069,1.0,3.0 +2070,0.0,5.0 +2071,1.0,4.0 +2072,2.0,11.0 +2073,3.0,8.0 +2074,2.0,2.0 +2075,3.0,2.0 +2076,0.0,4.0 +2077,1.0,6.0 +2078,1.0,3.0 +2079,2.0,2.0 +2080,1.0,4.0 +2081,1.0,3.0 +2082,2.0,8.0 +2083,2.0,2.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,2.0,7.0 +2087,3.0,6.0 +2088,3.0,3.0 +2089,0.0,4.0 +2090,2.0,4.0 +2091,1.0,6.0 +2092,0.0,4.0 +2093,0.0,2.0 +2094,3.0,8.0 +2095,1.0,2.0 +2096,2.0,2.0 +2097,1.0,6.0 +2098,5.0,10.0 +2099,1.0,6.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/63-peak+year_c.csv b/SurgeData/63-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/63-peak+year_c.csv rename to SurgeData/63-peak+year_c.csv diff --git a/SurgeData/N=1000/63-peak+year_w.csv b/SurgeData/63-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/63-peak+year_w.csv rename to SurgeData/63-peak+year_w.csv diff --git a/SurgeData/N=1000/63-peak_c.csv b/SurgeData/63-peak_c.csv similarity index 100% rename from SurgeData/N=1000/63-peak_c.csv rename to SurgeData/63-peak_c.csv diff --git a/SurgeData/N=1000/63-peak_w.csv b/SurgeData/63-peak_w.csv similarity index 100% rename from SurgeData/N=1000/63-peak_w.csv rename to SurgeData/63-peak_w.csv diff --git a/SurgeData/N=1000/63-surge_c.csv b/SurgeData/63-surge_c.csv similarity index 100% rename from SurgeData/N=1000/63-surge_c.csv rename to SurgeData/63-surge_c.csv diff --git a/SurgeData/N=1000/63-surge_w.csv b/SurgeData/63-surge_w.csv similarity index 100% rename from SurgeData/N=1000/63-surge_w.csv rename to SurgeData/63-surge_w.csv diff --git a/SurgeData/N=1000/63-time_c.csv b/SurgeData/63-time_c.csv similarity index 100% rename from SurgeData/N=1000/63-time_c.csv rename to SurgeData/63-time_c.csv diff --git a/SurgeData/N=1000/63-time_w.csv b/SurgeData/63-time_w.csv similarity index 100% rename from SurgeData/N=1000/63-time_w.csv rename to SurgeData/63-time_w.csv diff --git a/SurgeData/N=1000/63-waterlevel_c.csv b/SurgeData/63-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/63-waterlevel_c.csv rename to SurgeData/63-waterlevel_c.csv diff --git a/SurgeData/N=1000/63-waterlevel_w.csv b/SurgeData/63-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/63-waterlevel_w.csv rename to SurgeData/63-waterlevel_w.csv diff --git a/SurgeData/630-num_storm.csv b/SurgeData/630-num_storm.csv new file mode 100644 index 00000000..5ce45158 --- /dev/null +++ b/SurgeData/630-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,12.0 +2021,1.0,3.0 +2022,1.0,2.0 +2023,2.0,4.0 +2024,1.0,4.0 +2025,1.0,3.0 +2026,0.0,3.0 +2027,0.0,5.0 +2028,3.0,3.0 +2029,0.0,3.0 +2030,1.0,5.0 +2031,2.0,6.0 +2032,2.0,4.0 +2033,2.0,5.0 +2034,2.0,8.0 +2035,2.0,0.0 +2036,1.0,4.0 +2037,1.0,1.0 +2038,2.0,3.0 +2039,2.0,2.0 +2040,0.0,2.0 +2041,0.0,3.0 +2042,2.0,3.0 +2043,4.0,2.0 +2044,1.0,2.0 +2045,3.0,2.0 +2046,1.0,4.0 +2047,0.0,8.0 +2048,1.0,7.0 +2049,3.0,4.0 +2050,0.0,2.0 +2051,1.0,3.0 +2052,3.0,6.0 +2053,2.0,4.0 +2054,3.0,2.0 +2055,2.0,4.0 +2056,2.0,1.0 +2057,2.0,2.0 +2058,0.0,7.0 +2059,1.0,1.0 +2060,4.0,4.0 +2061,1.0,3.0 +2062,2.0,3.0 +2063,2.0,3.0 +2064,1.0,7.0 +2065,1.0,6.0 +2066,2.0,9.0 +2067,3.0,1.0 +2068,0.0,4.0 +2069,0.0,3.0 +2070,1.0,2.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,0.0,1.0 +2074,1.0,3.0 +2075,1.0,4.0 +2076,2.0,6.0 +2077,4.0,9.0 +2078,0.0,3.0 +2079,1.0,4.0 +2080,0.0,9.0 +2081,2.0,2.0 +2082,2.0,4.0 +2083,1.0,4.0 +2084,2.0,3.0 +2085,2.0,7.0 +2086,2.0,2.0 +2087,3.0,5.0 +2088,4.0,4.0 +2089,2.0,8.0 +2090,0.0,5.0 +2091,2.0,8.0 +2092,1.0,3.0 +2093,0.0,6.0 +2094,2.0,0.0 +2095,3.0,8.0 +2096,3.0,5.0 +2097,2.0,2.0 +2098,1.0,4.0 +2099,1.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/630-peak+year_c.csv b/SurgeData/630-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/630-peak+year_c.csv rename to SurgeData/630-peak+year_c.csv diff --git a/SurgeData/N=1000/630-peak+year_w.csv b/SurgeData/630-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/630-peak+year_w.csv rename to SurgeData/630-peak+year_w.csv diff --git a/SurgeData/N=1000/630-peak_c.csv b/SurgeData/630-peak_c.csv similarity index 100% rename from SurgeData/N=1000/630-peak_c.csv rename to SurgeData/630-peak_c.csv diff --git a/SurgeData/N=1000/630-peak_w.csv b/SurgeData/630-peak_w.csv similarity index 100% rename from SurgeData/N=1000/630-peak_w.csv rename to SurgeData/630-peak_w.csv diff --git a/SurgeData/N=1000/630-surge_c.csv b/SurgeData/630-surge_c.csv similarity index 100% rename from SurgeData/N=1000/630-surge_c.csv rename to SurgeData/630-surge_c.csv diff --git a/SurgeData/N=1000/630-surge_w.csv b/SurgeData/630-surge_w.csv similarity index 100% rename from SurgeData/N=1000/630-surge_w.csv rename to SurgeData/630-surge_w.csv diff --git a/SurgeData/N=1000/630-time_c.csv b/SurgeData/630-time_c.csv similarity index 100% rename from SurgeData/N=1000/630-time_c.csv rename to SurgeData/630-time_c.csv diff --git a/SurgeData/N=1000/630-time_w.csv b/SurgeData/630-time_w.csv similarity index 100% rename from SurgeData/N=1000/630-time_w.csv rename to SurgeData/630-time_w.csv diff --git a/SurgeData/N=1000/630-waterlevel_c.csv b/SurgeData/630-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/630-waterlevel_c.csv rename to SurgeData/630-waterlevel_c.csv diff --git a/SurgeData/N=1000/630-waterlevel_w.csv b/SurgeData/630-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/630-waterlevel_w.csv rename to SurgeData/630-waterlevel_w.csv diff --git a/SurgeData/N=1000/631-peak+year_c.csv b/SurgeData/631-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/631-peak+year_c.csv rename to SurgeData/631-peak+year_c.csv diff --git a/SurgeData/N=1000/631-peak+year_w.csv b/SurgeData/631-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/631-peak+year_w.csv rename to SurgeData/631-peak+year_w.csv diff --git a/SurgeData/N=1000/631-peak_c.csv b/SurgeData/631-peak_c.csv similarity index 100% rename from SurgeData/N=1000/631-peak_c.csv rename to SurgeData/631-peak_c.csv diff --git a/SurgeData/N=1000/631-peak_w.csv b/SurgeData/631-peak_w.csv similarity index 100% rename from SurgeData/N=1000/631-peak_w.csv rename to SurgeData/631-peak_w.csv diff --git a/SurgeData/N=1000/631-surge_c.csv b/SurgeData/631-surge_c.csv similarity index 100% rename from SurgeData/N=1000/631-surge_c.csv rename to SurgeData/631-surge_c.csv diff --git a/SurgeData/N=1000/631-surge_w.csv b/SurgeData/631-surge_w.csv similarity index 100% rename from SurgeData/N=1000/631-surge_w.csv rename to SurgeData/631-surge_w.csv diff --git a/SurgeData/N=1000/631-time_c.csv b/SurgeData/631-time_c.csv similarity index 100% rename from SurgeData/N=1000/631-time_c.csv rename to SurgeData/631-time_c.csv diff --git a/SurgeData/N=1000/631-time_w.csv b/SurgeData/631-time_w.csv similarity index 100% rename from SurgeData/N=1000/631-time_w.csv rename to SurgeData/631-time_w.csv diff --git a/SurgeData/N=1000/631-waterlevel_c.csv b/SurgeData/631-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/631-waterlevel_c.csv rename to SurgeData/631-waterlevel_c.csv diff --git a/SurgeData/N=1000/631-waterlevel_w.csv b/SurgeData/631-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/631-waterlevel_w.csv rename to SurgeData/631-waterlevel_w.csv diff --git a/SurgeData/632-num_storm.csv b/SurgeData/632-num_storm.csv new file mode 100644 index 00000000..c4b8683c --- /dev/null +++ b/SurgeData/632-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,3.0 +2022,1.0,5.0 +2023,1.0,9.0 +2024,2.0,4.0 +2025,1.0,5.0 +2026,4.0,3.0 +2027,3.0,4.0 +2028,0.0,6.0 +2029,3.0,4.0 +2030,4.0,2.0 +2031,1.0,3.0 +2032,2.0,7.0 +2033,1.0,1.0 +2034,1.0,4.0 +2035,0.0,2.0 +2036,3.0,2.0 +2037,0.0,4.0 +2038,2.0,6.0 +2039,3.0,6.0 +2040,3.0,5.0 +2041,2.0,2.0 +2042,1.0,8.0 +2043,1.0,2.0 +2044,1.0,4.0 +2045,3.0,1.0 +2046,1.0,3.0 +2047,0.0,6.0 +2048,2.0,3.0 +2049,2.0,4.0 +2050,1.0,4.0 +2051,1.0,8.0 +2052,3.0,5.0 +2053,0.0,4.0 +2054,1.0,3.0 +2055,4.0,3.0 +2056,0.0,4.0 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SurgeData/632-peak+year_w.csv diff --git a/SurgeData/N=1000/632-peak_c.csv b/SurgeData/632-peak_c.csv similarity index 100% rename from SurgeData/N=1000/632-peak_c.csv rename to SurgeData/632-peak_c.csv diff --git a/SurgeData/N=1000/632-peak_w.csv b/SurgeData/632-peak_w.csv similarity index 100% rename from SurgeData/N=1000/632-peak_w.csv rename to SurgeData/632-peak_w.csv diff --git a/SurgeData/N=1000/632-surge_c.csv b/SurgeData/632-surge_c.csv similarity index 100% rename from SurgeData/N=1000/632-surge_c.csv rename to SurgeData/632-surge_c.csv diff --git a/SurgeData/N=1000/632-surge_w.csv b/SurgeData/632-surge_w.csv similarity index 100% rename from SurgeData/N=1000/632-surge_w.csv rename to SurgeData/632-surge_w.csv diff --git a/SurgeData/N=1000/632-time_c.csv b/SurgeData/632-time_c.csv similarity index 100% rename from SurgeData/N=1000/632-time_c.csv rename to SurgeData/632-time_c.csv diff --git a/SurgeData/N=1000/632-time_w.csv b/SurgeData/632-time_w.csv similarity index 100% rename from SurgeData/N=1000/632-time_w.csv rename to SurgeData/632-time_w.csv diff --git a/SurgeData/N=1000/632-waterlevel_c.csv b/SurgeData/632-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/632-waterlevel_c.csv rename to SurgeData/632-waterlevel_c.csv diff --git a/SurgeData/N=1000/632-waterlevel_w.csv b/SurgeData/632-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/632-waterlevel_w.csv rename to SurgeData/632-waterlevel_w.csv diff --git a/SurgeData/633-num_storm.csv b/SurgeData/633-num_storm.csv new file mode 100644 index 00000000..00b87912 --- /dev/null +++ b/SurgeData/633-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,3.0,5.0 +2022,0.0,2.0 +2023,1.0,3.0 +2024,1.0,3.0 +2025,1.0,5.0 +2026,4.0,5.0 +2027,2.0,2.0 +2028,1.0,0.0 +2029,0.0,3.0 +2030,0.0,5.0 +2031,1.0,3.0 +2032,2.0,2.0 +2033,2.0,3.0 +2034,1.0,3.0 +2035,2.0,3.0 +2036,1.0,6.0 +2037,1.0,3.0 +2038,1.0,7.0 +2039,3.0,7.0 +2040,1.0,2.0 +2041,3.0,5.0 +2042,0.0,5.0 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SurgeData/633-peak+year_c.csv diff --git a/SurgeData/N=1000/633-peak+year_w.csv b/SurgeData/633-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/633-peak+year_w.csv rename to SurgeData/633-peak+year_w.csv diff --git a/SurgeData/N=1000/633-peak_c.csv b/SurgeData/633-peak_c.csv similarity index 100% rename from SurgeData/N=1000/633-peak_c.csv rename to SurgeData/633-peak_c.csv diff --git a/SurgeData/N=1000/633-peak_w.csv b/SurgeData/633-peak_w.csv similarity index 100% rename from SurgeData/N=1000/633-peak_w.csv rename to SurgeData/633-peak_w.csv diff --git a/SurgeData/N=1000/633-surge_c.csv b/SurgeData/633-surge_c.csv similarity index 100% rename from SurgeData/N=1000/633-surge_c.csv rename to SurgeData/633-surge_c.csv diff --git a/SurgeData/N=1000/633-surge_w.csv b/SurgeData/633-surge_w.csv similarity index 100% rename from SurgeData/N=1000/633-surge_w.csv rename to SurgeData/633-surge_w.csv diff --git a/SurgeData/N=1000/633-time_c.csv b/SurgeData/633-time_c.csv similarity index 100% rename from SurgeData/N=1000/633-time_c.csv rename to SurgeData/633-time_c.csv diff --git a/SurgeData/N=1000/633-time_w.csv b/SurgeData/633-time_w.csv similarity index 100% rename from SurgeData/N=1000/633-time_w.csv rename to SurgeData/633-time_w.csv diff --git a/SurgeData/N=1000/633-waterlevel_c.csv b/SurgeData/633-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/633-waterlevel_c.csv rename to SurgeData/633-waterlevel_c.csv diff --git a/SurgeData/N=1000/633-waterlevel_w.csv b/SurgeData/633-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/633-waterlevel_w.csv rename to SurgeData/633-waterlevel_w.csv diff --git a/SurgeData/634-num_storm.csv b/SurgeData/634-num_storm.csv new file mode 100644 index 00000000..a1e90260 --- /dev/null +++ b/SurgeData/634-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,4.0 +2022,1.0,1.0 +2023,3.0,4.0 +2024,1.0,4.0 +2025,4.0,3.0 +2026,3.0,4.0 +2027,0.0,2.0 +2028,5.0,7.0 +2029,1.0,3.0 +2030,1.0,2.0 +2031,3.0,6.0 +2032,4.0,1.0 +2033,3.0,10.0 +2034,1.0,2.0 +2035,1.0,5.0 +2036,0.0,4.0 +2037,1.0,1.0 +2038,1.0,3.0 +2039,2.0,5.0 +2040,3.0,4.0 +2041,1.0,4.0 +2042,0.0,3.0 +2043,0.0,4.0 +2044,1.0,4.0 +2045,0.0,4.0 +2046,2.0,5.0 +2047,2.0,4.0 +2048,2.0,2.0 +2049,0.0,6.0 +2050,1.0,6.0 +2051,0.0,4.0 +2052,3.0,7.0 +2053,0.0,4.0 +2054,4.0,3.0 +2055,3.0,1.0 +2056,1.0,4.0 +2057,4.0,9.0 +2058,3.0,1.0 +2059,2.0,4.0 +2060,3.0,7.0 +2061,3.0,2.0 +2062,0.0,1.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,3.0,5.0 +2066,0.0,4.0 +2067,0.0,3.0 +2068,2.0,3.0 +2069,0.0,5.0 +2070,0.0,5.0 +2071,1.0,1.0 +2072,2.0,5.0 +2073,1.0,4.0 +2074,3.0,2.0 +2075,0.0,3.0 +2076,1.0,7.0 +2077,1.0,7.0 +2078,3.0,3.0 +2079,4.0,2.0 +2080,0.0,5.0 +2081,0.0,2.0 +2082,1.0,2.0 +2083,1.0,3.0 +2084,0.0,4.0 +2085,1.0,5.0 +2086,0.0,4.0 +2087,0.0,6.0 +2088,2.0,2.0 +2089,3.0,5.0 +2090,2.0,2.0 +2091,3.0,2.0 +2092,0.0,4.0 +2093,5.0,7.0 +2094,0.0,2.0 +2095,0.0,3.0 +2096,4.0,5.0 +2097,1.0,4.0 +2098,2.0,1.0 +2099,1.0,3.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/634-peak+year_c.csv b/SurgeData/634-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/634-peak+year_c.csv rename to SurgeData/634-peak+year_c.csv diff --git a/SurgeData/N=1000/634-peak+year_w.csv b/SurgeData/634-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/634-peak+year_w.csv rename to SurgeData/634-peak+year_w.csv diff --git a/SurgeData/N=1000/634-peak_c.csv b/SurgeData/634-peak_c.csv similarity index 100% rename from SurgeData/N=1000/634-peak_c.csv rename to SurgeData/634-peak_c.csv diff --git a/SurgeData/N=1000/634-peak_w.csv b/SurgeData/634-peak_w.csv similarity index 100% rename from SurgeData/N=1000/634-peak_w.csv rename to SurgeData/634-peak_w.csv diff --git a/SurgeData/N=1000/634-surge_c.csv b/SurgeData/634-surge_c.csv similarity index 100% rename from SurgeData/N=1000/634-surge_c.csv rename to SurgeData/634-surge_c.csv diff --git a/SurgeData/N=1000/634-surge_w.csv b/SurgeData/634-surge_w.csv similarity index 100% rename from SurgeData/N=1000/634-surge_w.csv rename to SurgeData/634-surge_w.csv diff --git a/SurgeData/N=1000/634-time_c.csv b/SurgeData/634-time_c.csv similarity index 100% rename from SurgeData/N=1000/634-time_c.csv rename to SurgeData/634-time_c.csv diff --git a/SurgeData/N=1000/634-time_w.csv b/SurgeData/634-time_w.csv similarity index 100% rename from SurgeData/N=1000/634-time_w.csv rename to SurgeData/634-time_w.csv diff --git a/SurgeData/N=1000/634-waterlevel_c.csv b/SurgeData/634-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/634-waterlevel_c.csv rename to SurgeData/634-waterlevel_c.csv diff --git a/SurgeData/N=1000/634-waterlevel_w.csv b/SurgeData/634-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/634-waterlevel_w.csv rename to SurgeData/634-waterlevel_w.csv diff --git a/SurgeData/635-num_storm.csv b/SurgeData/635-num_storm.csv new file mode 100644 index 00000000..f425a596 --- /dev/null +++ b/SurgeData/635-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,9.0 +2021,1.0,6.0 +2022,2.0,5.0 +2023,1.0,7.0 +2024,1.0,2.0 +2025,1.0,5.0 +2026,1.0,9.0 +2027,3.0,3.0 +2028,1.0,5.0 +2029,0.0,3.0 +2030,2.0,4.0 +2031,2.0,4.0 +2032,0.0,3.0 +2033,1.0,6.0 +2034,4.0,6.0 +2035,3.0,5.0 +2036,1.0,3.0 +2037,4.0,2.0 +2038,2.0,0.0 +2039,0.0,5.0 +2040,3.0,4.0 +2041,1.0,3.0 +2042,1.0,4.0 +2043,1.0,6.0 +2044,2.0,2.0 +2045,0.0,7.0 +2046,3.0,7.0 +2047,1.0,5.0 +2048,1.0,5.0 +2049,2.0,2.0 +2050,1.0,4.0 +2051,0.0,9.0 +2052,2.0,8.0 +2053,2.0,5.0 +2054,2.0,4.0 +2055,3.0,7.0 +2056,2.0,5.0 +2057,3.0,1.0 +2058,2.0,9.0 +2059,0.0,4.0 +2060,2.0,5.0 +2061,2.0,6.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,2.0,3.0 +2065,0.0,2.0 +2066,0.0,4.0 +2067,1.0,8.0 +2068,1.0,6.0 +2069,1.0,5.0 +2070,1.0,3.0 +2071,1.0,2.0 +2072,0.0,4.0 +2073,1.0,5.0 +2074,1.0,1.0 +2075,1.0,2.0 +2076,0.0,6.0 +2077,0.0,2.0 +2078,1.0,1.0 +2079,1.0,5.0 +2080,1.0,4.0 +2081,1.0,6.0 +2082,3.0,4.0 +2083,0.0,2.0 +2084,3.0,1.0 +2085,1.0,1.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,0.0,2.0 +2089,2.0,2.0 +2090,2.0,5.0 +2091,1.0,3.0 +2092,1.0,4.0 +2093,3.0,5.0 +2094,0.0,4.0 +2095,1.0,6.0 +2096,4.0,5.0 +2097,1.0,3.0 +2098,1.0,4.0 +2099,2.0,3.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/635-peak+year_c.csv b/SurgeData/635-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/635-peak+year_c.csv rename to SurgeData/635-peak+year_c.csv diff --git a/SurgeData/N=1000/635-peak+year_w.csv b/SurgeData/635-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/635-peak+year_w.csv rename to SurgeData/635-peak+year_w.csv diff --git a/SurgeData/N=1000/635-peak_c.csv b/SurgeData/635-peak_c.csv similarity index 100% rename from SurgeData/N=1000/635-peak_c.csv rename to SurgeData/635-peak_c.csv diff --git a/SurgeData/N=1000/635-peak_w.csv b/SurgeData/635-peak_w.csv similarity index 100% rename from SurgeData/N=1000/635-peak_w.csv rename to SurgeData/635-peak_w.csv diff --git a/SurgeData/N=1000/635-surge_c.csv b/SurgeData/635-surge_c.csv similarity index 100% rename from SurgeData/N=1000/635-surge_c.csv rename to SurgeData/635-surge_c.csv diff --git a/SurgeData/N=1000/635-surge_w.csv b/SurgeData/635-surge_w.csv similarity index 100% rename from SurgeData/N=1000/635-surge_w.csv rename to SurgeData/635-surge_w.csv diff --git a/SurgeData/N=1000/635-time_c.csv b/SurgeData/635-time_c.csv similarity index 100% rename from SurgeData/N=1000/635-time_c.csv rename to SurgeData/635-time_c.csv diff --git a/SurgeData/N=1000/635-time_w.csv b/SurgeData/635-time_w.csv similarity index 100% rename from SurgeData/N=1000/635-time_w.csv rename to SurgeData/635-time_w.csv diff --git a/SurgeData/N=1000/635-waterlevel_c.csv b/SurgeData/635-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/635-waterlevel_c.csv rename to SurgeData/635-waterlevel_c.csv diff --git a/SurgeData/N=1000/635-waterlevel_w.csv b/SurgeData/635-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/635-waterlevel_w.csv rename to SurgeData/635-waterlevel_w.csv diff --git a/SurgeData/636-num_storm.csv b/SurgeData/636-num_storm.csv new file mode 100644 index 00000000..83b0126e --- /dev/null +++ b/SurgeData/636-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,6.0 +2022,2.0,6.0 +2023,3.0,4.0 +2024,0.0,4.0 +2025,1.0,5.0 +2026,0.0,2.0 +2027,2.0,3.0 +2028,5.0,7.0 +2029,2.0,7.0 +2030,3.0,4.0 +2031,2.0,3.0 +2032,1.0,5.0 +2033,1.0,3.0 +2034,5.0,4.0 +2035,1.0,3.0 +2036,0.0,6.0 +2037,2.0,5.0 +2038,3.0,6.0 +2039,1.0,3.0 +2040,4.0,2.0 +2041,2.0,3.0 +2042,1.0,6.0 +2043,2.0,6.0 +2044,2.0,3.0 +2045,1.0,2.0 +2046,0.0,1.0 +2047,0.0,5.0 +2048,1.0,4.0 +2049,1.0,8.0 +2050,1.0,3.0 +2051,2.0,4.0 +2052,2.0,2.0 +2053,0.0,6.0 +2054,1.0,5.0 +2055,0.0,4.0 +2056,1.0,3.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,5.0,2.0 +2060,2.0,3.0 +2061,2.0,3.0 +2062,0.0,3.0 +2063,3.0,2.0 +2064,1.0,3.0 +2065,1.0,1.0 +2066,3.0,5.0 +2067,1.0,2.0 +2068,0.0,2.0 +2069,0.0,2.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,0.0,1.0 +2073,3.0,5.0 +2074,0.0,3.0 +2075,2.0,2.0 +2076,1.0,3.0 +2077,0.0,8.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,1.0,4.0 +2081,2.0,3.0 +2082,0.0,6.0 +2083,3.0,5.0 +2084,0.0,7.0 +2085,1.0,5.0 +2086,4.0,0.0 +2087,3.0,3.0 +2088,0.0,5.0 +2089,1.0,4.0 +2090,1.0,3.0 +2091,0.0,1.0 +2092,1.0,4.0 +2093,5.0,6.0 +2094,4.0,2.0 +2095,2.0,8.0 +2096,2.0,4.0 +2097,2.0,3.0 +2098,2.0,5.0 +2099,3.0,2.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/636-peak+year_c.csv b/SurgeData/636-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/636-peak+year_c.csv rename to SurgeData/636-peak+year_c.csv diff --git a/SurgeData/N=1000/636-peak+year_w.csv b/SurgeData/636-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/636-peak+year_w.csv rename to SurgeData/636-peak+year_w.csv diff --git a/SurgeData/N=1000/636-peak_c.csv b/SurgeData/636-peak_c.csv similarity index 100% rename from SurgeData/N=1000/636-peak_c.csv rename to SurgeData/636-peak_c.csv diff --git a/SurgeData/N=1000/636-peak_w.csv b/SurgeData/636-peak_w.csv similarity index 100% rename from SurgeData/N=1000/636-peak_w.csv rename to SurgeData/636-peak_w.csv diff --git a/SurgeData/N=1000/636-surge_c.csv b/SurgeData/636-surge_c.csv similarity index 100% rename from SurgeData/N=1000/636-surge_c.csv rename to SurgeData/636-surge_c.csv diff --git a/SurgeData/N=1000/636-surge_w.csv b/SurgeData/636-surge_w.csv similarity index 100% rename from SurgeData/N=1000/636-surge_w.csv rename to SurgeData/636-surge_w.csv diff --git a/SurgeData/N=1000/636-time_c.csv b/SurgeData/636-time_c.csv similarity index 100% rename from SurgeData/N=1000/636-time_c.csv rename to SurgeData/636-time_c.csv diff --git a/SurgeData/N=1000/636-time_w.csv b/SurgeData/636-time_w.csv similarity index 100% rename from SurgeData/N=1000/636-time_w.csv rename to SurgeData/636-time_w.csv diff --git a/SurgeData/N=1000/636-waterlevel_c.csv b/SurgeData/636-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/636-waterlevel_c.csv rename to SurgeData/636-waterlevel_c.csv diff --git a/SurgeData/N=1000/636-waterlevel_w.csv b/SurgeData/636-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/636-waterlevel_w.csv rename to SurgeData/636-waterlevel_w.csv diff --git a/SurgeData/637-num_storm.csv b/SurgeData/637-num_storm.csv new file mode 100644 index 00000000..72c32679 --- /dev/null +++ b/SurgeData/637-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,1.0,3.0 +2022,2.0,7.0 +2023,0.0,4.0 +2024,1.0,4.0 +2025,4.0,4.0 +2026,0.0,4.0 +2027,1.0,8.0 +2028,2.0,4.0 +2029,0.0,5.0 +2030,3.0,7.0 +2031,2.0,1.0 +2032,1.0,9.0 +2033,2.0,5.0 +2034,1.0,3.0 +2035,1.0,2.0 +2036,1.0,6.0 +2037,2.0,5.0 +2038,1.0,4.0 +2039,2.0,0.0 +2040,3.0,7.0 +2041,1.0,4.0 +2042,0.0,6.0 +2043,2.0,6.0 +2044,1.0,6.0 +2045,2.0,3.0 +2046,3.0,3.0 +2047,4.0,6.0 +2048,0.0,0.0 +2049,3.0,9.0 +2050,1.0,2.0 +2051,1.0,7.0 +2052,3.0,4.0 +2053,2.0,5.0 +2054,3.0,7.0 +2055,0.0,3.0 +2056,2.0,6.0 +2057,2.0,4.0 +2058,3.0,7.0 +2059,0.0,6.0 +2060,2.0,1.0 +2061,1.0,4.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,1.0,4.0 +2065,0.0,1.0 +2066,2.0,6.0 +2067,4.0,4.0 +2068,1.0,4.0 +2069,2.0,7.0 +2070,1.0,5.0 +2071,2.0,4.0 +2072,1.0,2.0 +2073,0.0,4.0 +2074,1.0,3.0 +2075,2.0,2.0 +2076,1.0,2.0 +2077,2.0,4.0 +2078,1.0,4.0 +2079,3.0,5.0 +2080,1.0,5.0 +2081,3.0,2.0 +2082,0.0,3.0 +2083,0.0,5.0 +2084,4.0,6.0 +2085,1.0,6.0 +2086,1.0,5.0 +2087,2.0,2.0 +2088,2.0,5.0 +2089,1.0,3.0 +2090,0.0,3.0 +2091,3.0,4.0 +2092,3.0,2.0 +2093,2.0,3.0 +2094,2.0,3.0 +2095,2.0,3.0 +2096,1.0,1.0 +2097,3.0,3.0 +2098,2.0,3.0 +2099,3.0,5.0 +2100,1.0,9.0 diff --git a/SurgeData/N=1000/637-peak+year_c.csv b/SurgeData/637-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/637-peak+year_c.csv rename to SurgeData/637-peak+year_c.csv diff --git a/SurgeData/N=1000/637-peak+year_w.csv b/SurgeData/637-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/637-peak+year_w.csv rename to SurgeData/637-peak+year_w.csv diff --git a/SurgeData/N=1000/637-peak_c.csv b/SurgeData/637-peak_c.csv similarity index 100% rename from SurgeData/N=1000/637-peak_c.csv rename to SurgeData/637-peak_c.csv diff --git a/SurgeData/N=1000/637-peak_w.csv b/SurgeData/637-peak_w.csv similarity index 100% rename from SurgeData/N=1000/637-peak_w.csv rename to SurgeData/637-peak_w.csv diff --git a/SurgeData/N=1000/637-surge_c.csv b/SurgeData/637-surge_c.csv similarity index 100% rename from SurgeData/N=1000/637-surge_c.csv rename to SurgeData/637-surge_c.csv diff --git a/SurgeData/N=1000/637-surge_w.csv b/SurgeData/637-surge_w.csv similarity index 100% rename from SurgeData/N=1000/637-surge_w.csv rename to SurgeData/637-surge_w.csv diff --git a/SurgeData/N=1000/637-time_c.csv b/SurgeData/637-time_c.csv similarity index 100% rename from SurgeData/N=1000/637-time_c.csv rename to SurgeData/637-time_c.csv diff --git a/SurgeData/N=1000/637-time_w.csv b/SurgeData/637-time_w.csv similarity index 100% rename from SurgeData/N=1000/637-time_w.csv rename to SurgeData/637-time_w.csv diff --git a/SurgeData/N=1000/637-waterlevel_c.csv b/SurgeData/637-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/637-waterlevel_c.csv rename to SurgeData/637-waterlevel_c.csv diff --git a/SurgeData/N=1000/637-waterlevel_w.csv b/SurgeData/637-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/637-waterlevel_w.csv rename to SurgeData/637-waterlevel_w.csv diff --git a/SurgeData/638-num_storm.csv b/SurgeData/638-num_storm.csv new file mode 100644 index 00000000..20392429 --- /dev/null +++ b/SurgeData/638-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,0.0,9.0 +2022,4.0,6.0 +2023,2.0,5.0 +2024,2.0,7.0 +2025,1.0,7.0 +2026,1.0,6.0 +2027,1.0,1.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,1.0,3.0 +2031,4.0,4.0 +2032,3.0,3.0 +2033,2.0,3.0 +2034,3.0,2.0 +2035,1.0,5.0 +2036,1.0,4.0 +2037,0.0,4.0 +2038,3.0,5.0 +2039,2.0,2.0 +2040,0.0,1.0 +2041,1.0,8.0 +2042,1.0,3.0 +2043,0.0,4.0 +2044,2.0,7.0 +2045,0.0,5.0 +2046,1.0,4.0 +2047,2.0,3.0 +2048,3.0,8.0 +2049,1.0,4.0 +2050,1.0,4.0 +2051,0.0,5.0 +2052,2.0,6.0 +2053,0.0,6.0 +2054,1.0,1.0 +2055,0.0,2.0 +2056,0.0,4.0 +2057,0.0,5.0 +2058,3.0,5.0 +2059,0.0,3.0 +2060,2.0,5.0 +2061,0.0,1.0 +2062,3.0,9.0 +2063,0.0,5.0 +2064,3.0,6.0 +2065,4.0,7.0 +2066,1.0,4.0 +2067,3.0,1.0 +2068,4.0,2.0 +2069,5.0,3.0 +2070,1.0,2.0 +2071,4.0,3.0 +2072,0.0,3.0 +2073,2.0,7.0 +2074,0.0,3.0 +2075,1.0,4.0 +2076,2.0,4.0 +2077,3.0,4.0 +2078,2.0,1.0 +2079,1.0,0.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,0.0,6.0 +2083,1.0,2.0 +2084,1.0,3.0 +2085,2.0,2.0 +2086,2.0,4.0 +2087,3.0,6.0 +2088,3.0,3.0 +2089,2.0,6.0 +2090,1.0,3.0 +2091,0.0,6.0 +2092,3.0,7.0 +2093,0.0,4.0 +2094,1.0,7.0 +2095,1.0,3.0 +2096,2.0,10.0 +2097,1.0,3.0 +2098,1.0,7.0 +2099,2.0,5.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/638-peak+year_c.csv b/SurgeData/638-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/638-peak+year_c.csv rename to SurgeData/638-peak+year_c.csv diff --git a/SurgeData/N=1000/638-peak+year_w.csv b/SurgeData/638-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/638-peak+year_w.csv rename to SurgeData/638-peak+year_w.csv diff --git a/SurgeData/N=1000/638-peak_c.csv b/SurgeData/638-peak_c.csv similarity index 100% rename from SurgeData/N=1000/638-peak_c.csv rename to SurgeData/638-peak_c.csv diff --git a/SurgeData/N=1000/638-peak_w.csv b/SurgeData/638-peak_w.csv similarity index 100% rename from SurgeData/N=1000/638-peak_w.csv rename to SurgeData/638-peak_w.csv diff --git a/SurgeData/N=1000/638-surge_c.csv b/SurgeData/638-surge_c.csv similarity index 100% rename from SurgeData/N=1000/638-surge_c.csv rename to SurgeData/638-surge_c.csv diff --git a/SurgeData/N=1000/638-surge_w.csv b/SurgeData/638-surge_w.csv similarity index 100% rename from SurgeData/N=1000/638-surge_w.csv rename to SurgeData/638-surge_w.csv diff --git a/SurgeData/N=1000/638-time_c.csv b/SurgeData/638-time_c.csv similarity index 100% rename from SurgeData/N=1000/638-time_c.csv rename to SurgeData/638-time_c.csv diff --git a/SurgeData/N=1000/638-time_w.csv b/SurgeData/638-time_w.csv similarity index 100% rename from SurgeData/N=1000/638-time_w.csv rename to SurgeData/638-time_w.csv diff --git a/SurgeData/N=1000/638-waterlevel_c.csv b/SurgeData/638-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/638-waterlevel_c.csv rename to SurgeData/638-waterlevel_c.csv diff --git a/SurgeData/N=1000/638-waterlevel_w.csv b/SurgeData/638-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/638-waterlevel_w.csv rename to SurgeData/638-waterlevel_w.csv diff --git a/SurgeData/N=1000/639-peak+year_c.csv b/SurgeData/639-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/639-peak+year_c.csv rename to SurgeData/639-peak+year_c.csv diff --git a/SurgeData/N=1000/639-peak+year_w.csv b/SurgeData/639-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/639-peak+year_w.csv rename to SurgeData/639-peak+year_w.csv diff --git a/SurgeData/N=1000/639-peak_c.csv b/SurgeData/639-peak_c.csv similarity index 100% rename from SurgeData/N=1000/639-peak_c.csv rename to SurgeData/639-peak_c.csv diff --git a/SurgeData/N=1000/639-peak_w.csv b/SurgeData/639-peak_w.csv similarity index 100% rename from SurgeData/N=1000/639-peak_w.csv rename to SurgeData/639-peak_w.csv diff --git a/SurgeData/N=1000/639-surge_c.csv b/SurgeData/639-surge_c.csv similarity index 100% rename from SurgeData/N=1000/639-surge_c.csv rename to SurgeData/639-surge_c.csv diff --git a/SurgeData/N=1000/639-surge_w.csv b/SurgeData/639-surge_w.csv similarity index 100% rename from SurgeData/N=1000/639-surge_w.csv rename to SurgeData/639-surge_w.csv diff --git a/SurgeData/N=1000/639-time_c.csv b/SurgeData/639-time_c.csv similarity index 100% rename from SurgeData/N=1000/639-time_c.csv rename to SurgeData/639-time_c.csv diff --git a/SurgeData/N=1000/639-time_w.csv b/SurgeData/639-time_w.csv similarity index 100% rename from SurgeData/N=1000/639-time_w.csv rename to SurgeData/639-time_w.csv diff --git a/SurgeData/N=1000/639-waterlevel_c.csv b/SurgeData/639-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/639-waterlevel_c.csv rename to SurgeData/639-waterlevel_c.csv diff --git a/SurgeData/N=1000/639-waterlevel_w.csv b/SurgeData/639-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/639-waterlevel_w.csv rename to SurgeData/639-waterlevel_w.csv diff --git a/SurgeData/N=1000/64-peak+year_c.csv b/SurgeData/64-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/64-peak+year_c.csv rename to SurgeData/64-peak+year_c.csv diff --git a/SurgeData/N=1000/64-peak+year_w.csv b/SurgeData/64-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/64-peak+year_w.csv rename to SurgeData/64-peak+year_w.csv diff --git a/SurgeData/N=1000/64-peak_c.csv b/SurgeData/64-peak_c.csv similarity index 100% rename from SurgeData/N=1000/64-peak_c.csv rename to SurgeData/64-peak_c.csv diff --git a/SurgeData/N=1000/64-peak_w.csv b/SurgeData/64-peak_w.csv similarity index 100% rename from SurgeData/N=1000/64-peak_w.csv rename to SurgeData/64-peak_w.csv diff --git a/SurgeData/N=1000/64-surge_c.csv b/SurgeData/64-surge_c.csv similarity index 100% rename from SurgeData/N=1000/64-surge_c.csv rename to SurgeData/64-surge_c.csv diff --git a/SurgeData/N=1000/64-surge_w.csv b/SurgeData/64-surge_w.csv similarity index 100% rename from SurgeData/N=1000/64-surge_w.csv rename to SurgeData/64-surge_w.csv diff --git a/SurgeData/N=1000/64-time_c.csv b/SurgeData/64-time_c.csv similarity index 100% rename from SurgeData/N=1000/64-time_c.csv rename to SurgeData/64-time_c.csv diff --git a/SurgeData/N=1000/64-time_w.csv b/SurgeData/64-time_w.csv similarity index 100% rename from SurgeData/N=1000/64-time_w.csv rename to SurgeData/64-time_w.csv diff --git a/SurgeData/N=1000/64-waterlevel_c.csv b/SurgeData/64-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/64-waterlevel_c.csv rename to SurgeData/64-waterlevel_c.csv diff --git a/SurgeData/N=1000/64-waterlevel_w.csv b/SurgeData/64-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/64-waterlevel_w.csv rename to SurgeData/64-waterlevel_w.csv diff --git a/SurgeData/640-num_storm.csv b/SurgeData/640-num_storm.csv new file mode 100644 index 00000000..b75c614c --- /dev/null +++ b/SurgeData/640-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,3.0 +2022,0.0,4.0 +2023,2.0,3.0 +2024,4.0,7.0 +2025,0.0,3.0 +2026,2.0,6.0 +2027,0.0,2.0 +2028,2.0,4.0 +2029,1.0,4.0 +2030,2.0,4.0 +2031,3.0,5.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,2.0,2.0 +2035,1.0,5.0 +2036,4.0,3.0 +2037,0.0,4.0 +2038,3.0,2.0 +2039,2.0,4.0 +2040,2.0,1.0 +2041,0.0,3.0 +2042,2.0,6.0 +2043,4.0,2.0 +2044,0.0,4.0 +2045,2.0,3.0 +2046,2.0,1.0 +2047,4.0,7.0 +2048,3.0,4.0 +2049,1.0,7.0 +2050,5.0,4.0 +2051,1.0,3.0 +2052,1.0,5.0 +2053,3.0,3.0 +2054,2.0,2.0 +2055,0.0,0.0 +2056,2.0,7.0 +2057,0.0,3.0 +2058,0.0,4.0 +2059,1.0,7.0 +2060,0.0,7.0 +2061,1.0,7.0 +2062,0.0,4.0 +2063,2.0,5.0 +2064,1.0,7.0 +2065,1.0,3.0 +2066,3.0,7.0 +2067,1.0,1.0 +2068,4.0,4.0 +2069,4.0,3.0 +2070,0.0,1.0 +2071,4.0,4.0 +2072,2.0,2.0 +2073,2.0,4.0 +2074,1.0,2.0 +2075,0.0,5.0 +2076,0.0,3.0 +2077,0.0,1.0 +2078,2.0,3.0 +2079,3.0,7.0 +2080,1.0,7.0 +2081,2.0,8.0 +2082,1.0,3.0 +2083,0.0,4.0 +2084,1.0,6.0 +2085,2.0,4.0 +2086,1.0,6.0 +2087,2.0,9.0 +2088,1.0,3.0 +2089,4.0,0.0 +2090,1.0,3.0 +2091,1.0,1.0 +2092,1.0,7.0 +2093,1.0,3.0 +2094,6.0,9.0 +2095,1.0,4.0 +2096,4.0,2.0 +2097,0.0,7.0 +2098,3.0,2.0 +2099,4.0,0.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/640-peak+year_c.csv b/SurgeData/640-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/640-peak+year_c.csv rename to SurgeData/640-peak+year_c.csv diff --git a/SurgeData/N=1000/640-peak+year_w.csv b/SurgeData/640-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/640-peak+year_w.csv rename to SurgeData/640-peak+year_w.csv diff --git a/SurgeData/N=1000/640-peak_c.csv b/SurgeData/640-peak_c.csv similarity index 100% rename from SurgeData/N=1000/640-peak_c.csv rename to SurgeData/640-peak_c.csv diff --git a/SurgeData/N=1000/640-peak_w.csv b/SurgeData/640-peak_w.csv similarity index 100% rename from SurgeData/N=1000/640-peak_w.csv rename to SurgeData/640-peak_w.csv diff --git a/SurgeData/N=1000/640-surge_c.csv b/SurgeData/640-surge_c.csv similarity index 100% rename from SurgeData/N=1000/640-surge_c.csv rename to SurgeData/640-surge_c.csv diff --git a/SurgeData/N=1000/640-surge_w.csv b/SurgeData/640-surge_w.csv similarity index 100% rename from SurgeData/N=1000/640-surge_w.csv rename to SurgeData/640-surge_w.csv diff --git a/SurgeData/N=1000/640-time_c.csv b/SurgeData/640-time_c.csv similarity index 100% rename from SurgeData/N=1000/640-time_c.csv rename to SurgeData/640-time_c.csv diff --git a/SurgeData/N=1000/640-time_w.csv b/SurgeData/640-time_w.csv similarity index 100% rename from SurgeData/N=1000/640-time_w.csv rename to SurgeData/640-time_w.csv diff --git a/SurgeData/N=1000/640-waterlevel_c.csv b/SurgeData/640-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/640-waterlevel_c.csv rename to SurgeData/640-waterlevel_c.csv diff --git a/SurgeData/N=1000/640-waterlevel_w.csv b/SurgeData/640-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/640-waterlevel_w.csv rename to SurgeData/640-waterlevel_w.csv diff --git a/SurgeData/N=1000/641-peak+year_c.csv b/SurgeData/641-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/641-peak+year_c.csv rename to SurgeData/641-peak+year_c.csv diff --git a/SurgeData/N=1000/641-peak+year_w.csv b/SurgeData/641-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/641-peak+year_w.csv rename to SurgeData/641-peak+year_w.csv diff --git a/SurgeData/N=1000/641-peak_c.csv b/SurgeData/641-peak_c.csv similarity index 100% rename from SurgeData/N=1000/641-peak_c.csv rename to SurgeData/641-peak_c.csv diff --git a/SurgeData/N=1000/641-peak_w.csv b/SurgeData/641-peak_w.csv similarity index 100% rename from SurgeData/N=1000/641-peak_w.csv rename to SurgeData/641-peak_w.csv diff --git a/SurgeData/N=1000/641-surge_c.csv b/SurgeData/641-surge_c.csv similarity index 100% rename from SurgeData/N=1000/641-surge_c.csv rename to SurgeData/641-surge_c.csv diff --git a/SurgeData/N=1000/641-surge_w.csv b/SurgeData/641-surge_w.csv similarity index 100% rename from SurgeData/N=1000/641-surge_w.csv rename to SurgeData/641-surge_w.csv diff --git a/SurgeData/N=1000/641-time_c.csv b/SurgeData/641-time_c.csv similarity index 100% rename from SurgeData/N=1000/641-time_c.csv rename to SurgeData/641-time_c.csv diff --git a/SurgeData/N=1000/641-time_w.csv b/SurgeData/641-time_w.csv similarity index 100% rename from SurgeData/N=1000/641-time_w.csv rename to SurgeData/641-time_w.csv diff --git a/SurgeData/N=1000/641-waterlevel_c.csv b/SurgeData/641-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/641-waterlevel_c.csv rename to SurgeData/641-waterlevel_c.csv diff --git a/SurgeData/N=1000/641-waterlevel_w.csv b/SurgeData/641-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/641-waterlevel_w.csv rename to SurgeData/641-waterlevel_w.csv diff --git a/SurgeData/N=1000/642-peak+year_c.csv b/SurgeData/642-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/642-peak+year_c.csv rename to SurgeData/642-peak+year_c.csv diff --git a/SurgeData/N=1000/642-peak+year_w.csv b/SurgeData/642-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/642-peak+year_w.csv rename to SurgeData/642-peak+year_w.csv diff --git a/SurgeData/N=1000/642-peak_c.csv b/SurgeData/642-peak_c.csv similarity index 100% rename from SurgeData/N=1000/642-peak_c.csv rename to SurgeData/642-peak_c.csv diff --git a/SurgeData/N=1000/642-peak_w.csv b/SurgeData/642-peak_w.csv similarity index 100% rename from SurgeData/N=1000/642-peak_w.csv rename to SurgeData/642-peak_w.csv diff --git a/SurgeData/N=1000/642-surge_c.csv b/SurgeData/642-surge_c.csv similarity index 100% rename from SurgeData/N=1000/642-surge_c.csv rename to SurgeData/642-surge_c.csv diff --git a/SurgeData/N=1000/642-surge_w.csv b/SurgeData/642-surge_w.csv similarity index 100% rename from SurgeData/N=1000/642-surge_w.csv rename to SurgeData/642-surge_w.csv diff --git a/SurgeData/N=1000/642-time_c.csv b/SurgeData/642-time_c.csv similarity index 100% rename from SurgeData/N=1000/642-time_c.csv rename to SurgeData/642-time_c.csv diff --git a/SurgeData/N=1000/642-time_w.csv b/SurgeData/642-time_w.csv similarity index 100% rename from SurgeData/N=1000/642-time_w.csv rename to SurgeData/642-time_w.csv diff --git a/SurgeData/N=1000/642-waterlevel_c.csv b/SurgeData/642-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/642-waterlevel_c.csv rename to SurgeData/642-waterlevel_c.csv diff --git a/SurgeData/N=1000/642-waterlevel_w.csv b/SurgeData/642-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/642-waterlevel_w.csv rename to SurgeData/642-waterlevel_w.csv diff --git a/SurgeData/N=1000/643-peak+year_c.csv b/SurgeData/643-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/643-peak+year_c.csv rename to SurgeData/643-peak+year_c.csv diff --git a/SurgeData/N=1000/643-peak+year_w.csv b/SurgeData/643-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/643-peak+year_w.csv rename to SurgeData/643-peak+year_w.csv diff --git a/SurgeData/N=1000/643-peak_c.csv b/SurgeData/643-peak_c.csv similarity index 100% rename from SurgeData/N=1000/643-peak_c.csv rename to SurgeData/643-peak_c.csv diff --git a/SurgeData/N=1000/643-peak_w.csv b/SurgeData/643-peak_w.csv similarity index 100% rename from SurgeData/N=1000/643-peak_w.csv rename to SurgeData/643-peak_w.csv diff --git a/SurgeData/N=1000/643-surge_c.csv b/SurgeData/643-surge_c.csv similarity index 100% rename from SurgeData/N=1000/643-surge_c.csv rename to SurgeData/643-surge_c.csv diff --git a/SurgeData/N=1000/643-surge_w.csv b/SurgeData/643-surge_w.csv similarity index 100% rename from SurgeData/N=1000/643-surge_w.csv rename to SurgeData/643-surge_w.csv diff --git a/SurgeData/N=1000/643-time_c.csv b/SurgeData/643-time_c.csv similarity index 100% rename from SurgeData/N=1000/643-time_c.csv rename to SurgeData/643-time_c.csv diff --git a/SurgeData/N=1000/643-time_w.csv b/SurgeData/643-time_w.csv similarity index 100% rename from SurgeData/N=1000/643-time_w.csv rename to SurgeData/643-time_w.csv diff --git a/SurgeData/N=1000/643-waterlevel_c.csv b/SurgeData/643-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/643-waterlevel_c.csv rename to SurgeData/643-waterlevel_c.csv diff --git a/SurgeData/N=1000/643-waterlevel_w.csv b/SurgeData/643-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/643-waterlevel_w.csv rename to SurgeData/643-waterlevel_w.csv diff --git a/SurgeData/644-num_storm.csv b/SurgeData/644-num_storm.csv new file mode 100644 index 00000000..a7c999eb --- /dev/null +++ b/SurgeData/644-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,2.0 +2022,2.0,8.0 +2023,1.0,4.0 +2024,3.0,4.0 +2025,1.0,1.0 +2026,1.0,6.0 +2027,1.0,2.0 +2028,2.0,4.0 +2029,0.0,1.0 +2030,0.0,5.0 +2031,4.0,3.0 +2032,1.0,7.0 +2033,3.0,7.0 +2034,1.0,8.0 +2035,2.0,6.0 +2036,0.0,4.0 +2037,2.0,8.0 +2038,1.0,3.0 +2039,3.0,4.0 +2040,2.0,8.0 +2041,4.0,4.0 +2042,1.0,5.0 +2043,1.0,1.0 +2044,3.0,0.0 +2045,3.0,3.0 +2046,1.0,6.0 +2047,2.0,5.0 +2048,1.0,5.0 +2049,4.0,2.0 +2050,4.0,6.0 +2051,1.0,3.0 +2052,0.0,3.0 +2053,1.0,1.0 +2054,1.0,3.0 +2055,0.0,5.0 +2056,2.0,6.0 +2057,3.0,2.0 +2058,1.0,7.0 +2059,3.0,9.0 +2060,3.0,4.0 +2061,0.0,1.0 +2062,0.0,3.0 +2063,1.0,6.0 +2064,2.0,1.0 +2065,1.0,5.0 +2066,0.0,2.0 +2067,3.0,2.0 +2068,3.0,8.0 +2069,2.0,2.0 +2070,2.0,6.0 +2071,2.0,2.0 +2072,1.0,7.0 +2073,4.0,5.0 +2074,2.0,8.0 +2075,1.0,3.0 +2076,0.0,6.0 +2077,2.0,6.0 +2078,2.0,4.0 +2079,1.0,3.0 +2080,3.0,3.0 +2081,2.0,3.0 +2082,5.0,3.0 +2083,1.0,0.0 +2084,0.0,1.0 +2085,2.0,6.0 +2086,0.0,5.0 +2087,4.0,3.0 +2088,4.0,3.0 +2089,0.0,2.0 +2090,2.0,4.0 +2091,1.0,6.0 +2092,2.0,5.0 +2093,1.0,2.0 +2094,1.0,4.0 +2095,2.0,3.0 +2096,2.0,2.0 +2097,2.0,4.0 +2098,6.0,3.0 +2099,3.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/644-peak+year_c.csv b/SurgeData/644-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/644-peak+year_c.csv rename to SurgeData/644-peak+year_c.csv diff --git a/SurgeData/N=1000/644-peak+year_w.csv b/SurgeData/644-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/644-peak+year_w.csv rename to SurgeData/644-peak+year_w.csv diff --git a/SurgeData/N=1000/644-peak_c.csv b/SurgeData/644-peak_c.csv similarity index 100% rename from SurgeData/N=1000/644-peak_c.csv rename to SurgeData/644-peak_c.csv diff --git a/SurgeData/N=1000/644-peak_w.csv b/SurgeData/644-peak_w.csv similarity index 100% rename from SurgeData/N=1000/644-peak_w.csv rename to SurgeData/644-peak_w.csv diff --git a/SurgeData/N=1000/644-surge_c.csv b/SurgeData/644-surge_c.csv similarity index 100% rename from SurgeData/N=1000/644-surge_c.csv rename to SurgeData/644-surge_c.csv diff --git a/SurgeData/N=1000/644-surge_w.csv b/SurgeData/644-surge_w.csv similarity index 100% rename from SurgeData/N=1000/644-surge_w.csv rename to SurgeData/644-surge_w.csv diff --git a/SurgeData/N=1000/644-time_c.csv b/SurgeData/644-time_c.csv similarity index 100% rename from SurgeData/N=1000/644-time_c.csv rename to SurgeData/644-time_c.csv diff --git a/SurgeData/N=1000/644-time_w.csv b/SurgeData/644-time_w.csv similarity index 100% rename from SurgeData/N=1000/644-time_w.csv rename to SurgeData/644-time_w.csv diff --git a/SurgeData/N=1000/644-waterlevel_c.csv b/SurgeData/644-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/644-waterlevel_c.csv rename to SurgeData/644-waterlevel_c.csv diff --git a/SurgeData/N=1000/644-waterlevel_w.csv b/SurgeData/644-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/644-waterlevel_w.csv rename to SurgeData/644-waterlevel_w.csv diff --git a/SurgeData/645-num_storm.csv b/SurgeData/645-num_storm.csv new file mode 100644 index 00000000..d16704af --- /dev/null +++ b/SurgeData/645-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,0.0,7.0 +2022,0.0,3.0 +2023,3.0,2.0 +2024,3.0,3.0 +2025,0.0,4.0 +2026,1.0,5.0 +2027,3.0,4.0 +2028,3.0,4.0 +2029,4.0,3.0 +2030,2.0,8.0 +2031,3.0,5.0 +2032,0.0,3.0 +2033,3.0,4.0 +2034,2.0,4.0 +2035,0.0,3.0 +2036,2.0,2.0 +2037,2.0,6.0 +2038,1.0,5.0 +2039,1.0,5.0 +2040,2.0,3.0 +2041,2.0,5.0 +2042,1.0,2.0 +2043,1.0,5.0 +2044,2.0,4.0 +2045,1.0,3.0 +2046,2.0,2.0 +2047,2.0,3.0 +2048,1.0,5.0 +2049,1.0,7.0 +2050,1.0,7.0 +2051,0.0,6.0 +2052,1.0,3.0 +2053,1.0,3.0 +2054,2.0,2.0 +2055,0.0,3.0 +2056,0.0,4.0 +2057,2.0,4.0 +2058,1.0,5.0 +2059,0.0,12.0 +2060,1.0,7.0 +2061,0.0,3.0 +2062,2.0,3.0 +2063,1.0,7.0 +2064,3.0,5.0 +2065,3.0,3.0 +2066,2.0,3.0 +2067,0.0,5.0 +2068,1.0,4.0 +2069,0.0,2.0 +2070,1.0,8.0 +2071,0.0,1.0 +2072,1.0,1.0 +2073,5.0,3.0 +2074,3.0,3.0 +2075,3.0,4.0 +2076,1.0,4.0 +2077,0.0,6.0 +2078,2.0,6.0 +2079,2.0,6.0 +2080,2.0,3.0 +2081,1.0,5.0 +2082,1.0,4.0 +2083,1.0,4.0 +2084,2.0,4.0 +2085,2.0,2.0 +2086,0.0,6.0 +2087,3.0,6.0 +2088,1.0,4.0 +2089,1.0,3.0 +2090,0.0,4.0 +2091,1.0,2.0 +2092,1.0,2.0 +2093,2.0,7.0 +2094,0.0,4.0 +2095,2.0,2.0 +2096,1.0,3.0 +2097,2.0,3.0 +2098,1.0,2.0 +2099,2.0,5.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/645-peak+year_c.csv b/SurgeData/645-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/645-peak+year_c.csv rename to SurgeData/645-peak+year_c.csv diff --git a/SurgeData/N=1000/645-peak+year_w.csv b/SurgeData/645-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/645-peak+year_w.csv rename to SurgeData/645-peak+year_w.csv diff --git a/SurgeData/N=1000/645-peak_c.csv b/SurgeData/645-peak_c.csv similarity index 100% rename from SurgeData/N=1000/645-peak_c.csv rename to SurgeData/645-peak_c.csv diff --git a/SurgeData/N=1000/645-peak_w.csv b/SurgeData/645-peak_w.csv similarity index 100% rename from SurgeData/N=1000/645-peak_w.csv rename to SurgeData/645-peak_w.csv diff --git a/SurgeData/N=1000/645-surge_c.csv b/SurgeData/645-surge_c.csv similarity index 100% rename from SurgeData/N=1000/645-surge_c.csv rename to SurgeData/645-surge_c.csv diff --git a/SurgeData/N=1000/645-surge_w.csv b/SurgeData/645-surge_w.csv similarity index 100% rename from SurgeData/N=1000/645-surge_w.csv rename to SurgeData/645-surge_w.csv diff --git a/SurgeData/N=1000/645-time_c.csv b/SurgeData/645-time_c.csv similarity index 100% rename from SurgeData/N=1000/645-time_c.csv rename to SurgeData/645-time_c.csv diff --git a/SurgeData/N=1000/645-time_w.csv b/SurgeData/645-time_w.csv similarity index 100% rename from SurgeData/N=1000/645-time_w.csv rename to SurgeData/645-time_w.csv diff --git a/SurgeData/N=1000/645-waterlevel_c.csv b/SurgeData/645-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/645-waterlevel_c.csv rename to SurgeData/645-waterlevel_c.csv diff --git a/SurgeData/N=1000/645-waterlevel_w.csv b/SurgeData/645-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/645-waterlevel_w.csv rename to SurgeData/645-waterlevel_w.csv diff --git a/SurgeData/N=1000/646-peak+year_c.csv b/SurgeData/646-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/646-peak+year_c.csv rename to SurgeData/646-peak+year_c.csv diff --git a/SurgeData/N=1000/646-peak+year_w.csv b/SurgeData/646-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/646-peak+year_w.csv rename to SurgeData/646-peak+year_w.csv diff --git a/SurgeData/N=1000/646-peak_c.csv b/SurgeData/646-peak_c.csv similarity index 100% rename from SurgeData/N=1000/646-peak_c.csv rename to SurgeData/646-peak_c.csv diff --git a/SurgeData/N=1000/646-peak_w.csv b/SurgeData/646-peak_w.csv similarity index 100% rename from SurgeData/N=1000/646-peak_w.csv rename to SurgeData/646-peak_w.csv diff --git a/SurgeData/N=1000/646-surge_c.csv b/SurgeData/646-surge_c.csv similarity index 100% rename from SurgeData/N=1000/646-surge_c.csv rename to SurgeData/646-surge_c.csv diff --git a/SurgeData/N=1000/646-surge_w.csv b/SurgeData/646-surge_w.csv similarity index 100% rename from SurgeData/N=1000/646-surge_w.csv rename to SurgeData/646-surge_w.csv diff --git a/SurgeData/N=1000/646-time_c.csv b/SurgeData/646-time_c.csv similarity index 100% rename from SurgeData/N=1000/646-time_c.csv rename to SurgeData/646-time_c.csv diff --git a/SurgeData/N=1000/646-time_w.csv b/SurgeData/646-time_w.csv similarity index 100% rename from SurgeData/N=1000/646-time_w.csv rename to SurgeData/646-time_w.csv diff --git a/SurgeData/N=1000/646-waterlevel_c.csv b/SurgeData/646-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/646-waterlevel_c.csv rename to SurgeData/646-waterlevel_c.csv diff --git a/SurgeData/N=1000/646-waterlevel_w.csv b/SurgeData/646-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/646-waterlevel_w.csv rename to SurgeData/646-waterlevel_w.csv diff --git a/SurgeData/647-num_storm.csv b/SurgeData/647-num_storm.csv new file mode 100644 index 00000000..fe856f9d --- /dev/null +++ b/SurgeData/647-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,6.0 +2022,0.0,5.0 +2023,1.0,2.0 +2024,0.0,6.0 +2025,3.0,7.0 +2026,0.0,5.0 +2027,2.0,6.0 +2028,3.0,2.0 +2029,1.0,10.0 +2030,2.0,6.0 +2031,0.0,3.0 +2032,3.0,6.0 +2033,0.0,1.0 +2034,1.0,3.0 +2035,0.0,7.0 +2036,1.0,5.0 +2037,2.0,2.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,1.0,4.0 +2041,0.0,6.0 +2042,0.0,3.0 +2043,0.0,3.0 +2044,0.0,6.0 +2045,2.0,5.0 +2046,0.0,4.0 +2047,0.0,5.0 +2048,2.0,6.0 +2049,5.0,1.0 +2050,2.0,3.0 +2051,2.0,6.0 +2052,1.0,6.0 +2053,0.0,4.0 +2054,1.0,3.0 +2055,2.0,4.0 +2056,1.0,3.0 +2057,2.0,7.0 +2058,1.0,5.0 +2059,2.0,2.0 +2060,1.0,5.0 +2061,1.0,3.0 +2062,4.0,5.0 +2063,0.0,4.0 +2064,1.0,4.0 +2065,0.0,4.0 +2066,1.0,4.0 +2067,0.0,1.0 +2068,1.0,8.0 +2069,2.0,4.0 +2070,2.0,0.0 +2071,2.0,0.0 +2072,1.0,3.0 +2073,1.0,8.0 +2074,2.0,2.0 +2075,1.0,4.0 +2076,3.0,4.0 +2077,2.0,2.0 +2078,2.0,2.0 +2079,1.0,4.0 +2080,0.0,4.0 +2081,1.0,5.0 +2082,2.0,5.0 +2083,2.0,5.0 +2084,1.0,3.0 +2085,1.0,2.0 +2086,1.0,3.0 +2087,0.0,7.0 +2088,2.0,3.0 +2089,2.0,4.0 +2090,3.0,1.0 +2091,1.0,2.0 +2092,0.0,5.0 +2093,2.0,1.0 +2094,2.0,4.0 +2095,3.0,5.0 +2096,3.0,4.0 +2097,0.0,3.0 +2098,0.0,2.0 +2099,2.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/647-peak+year_c.csv b/SurgeData/647-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/647-peak+year_c.csv rename to SurgeData/647-peak+year_c.csv diff --git a/SurgeData/N=1000/647-peak+year_w.csv b/SurgeData/647-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/647-peak+year_w.csv rename to SurgeData/647-peak+year_w.csv diff --git a/SurgeData/N=1000/647-peak_c.csv b/SurgeData/647-peak_c.csv similarity index 100% rename from SurgeData/N=1000/647-peak_c.csv rename to SurgeData/647-peak_c.csv diff --git a/SurgeData/N=1000/647-peak_w.csv b/SurgeData/647-peak_w.csv similarity index 100% rename from SurgeData/N=1000/647-peak_w.csv rename to SurgeData/647-peak_w.csv diff --git a/SurgeData/N=1000/647-surge_c.csv b/SurgeData/647-surge_c.csv similarity index 100% rename from SurgeData/N=1000/647-surge_c.csv rename to SurgeData/647-surge_c.csv diff --git a/SurgeData/N=1000/647-surge_w.csv b/SurgeData/647-surge_w.csv similarity index 100% rename from SurgeData/N=1000/647-surge_w.csv rename to SurgeData/647-surge_w.csv diff --git a/SurgeData/N=1000/647-time_c.csv b/SurgeData/647-time_c.csv similarity index 100% rename from SurgeData/N=1000/647-time_c.csv rename to SurgeData/647-time_c.csv diff --git a/SurgeData/N=1000/647-time_w.csv b/SurgeData/647-time_w.csv similarity index 100% rename from SurgeData/N=1000/647-time_w.csv rename to SurgeData/647-time_w.csv diff --git a/SurgeData/N=1000/647-waterlevel_c.csv b/SurgeData/647-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/647-waterlevel_c.csv rename to SurgeData/647-waterlevel_c.csv diff --git a/SurgeData/N=1000/647-waterlevel_w.csv b/SurgeData/647-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/647-waterlevel_w.csv rename to SurgeData/647-waterlevel_w.csv diff --git a/SurgeData/648-num_storm.csv b/SurgeData/648-num_storm.csv new file mode 100644 index 00000000..f69daa41 --- /dev/null +++ b/SurgeData/648-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,0.0,3.0 +2022,1.0,5.0 +2023,4.0,5.0 +2024,1.0,7.0 +2025,1.0,7.0 +2026,1.0,4.0 +2027,2.0,1.0 +2028,1.0,4.0 +2029,1.0,2.0 +2030,2.0,2.0 +2031,1.0,2.0 +2032,1.0,2.0 +2033,0.0,3.0 +2034,0.0,4.0 +2035,1.0,4.0 +2036,1.0,5.0 +2037,1.0,10.0 +2038,0.0,5.0 +2039,0.0,5.0 +2040,2.0,2.0 +2041,1.0,2.0 +2042,0.0,6.0 +2043,4.0,7.0 +2044,1.0,7.0 +2045,1.0,5.0 +2046,1.0,2.0 +2047,1.0,5.0 +2048,2.0,4.0 +2049,2.0,4.0 +2050,2.0,7.0 +2051,2.0,4.0 +2052,1.0,6.0 +2053,1.0,4.0 +2054,3.0,8.0 +2055,2.0,6.0 +2056,0.0,7.0 +2057,1.0,4.0 +2058,1.0,3.0 +2059,0.0,3.0 +2060,3.0,7.0 +2061,0.0,3.0 +2062,1.0,3.0 +2063,3.0,2.0 +2064,3.0,3.0 +2065,3.0,7.0 +2066,0.0,7.0 +2067,3.0,3.0 +2068,5.0,3.0 +2069,0.0,7.0 +2070,2.0,5.0 +2071,0.0,2.0 +2072,1.0,6.0 +2073,4.0,3.0 +2074,5.0,4.0 +2075,2.0,8.0 +2076,1.0,10.0 +2077,0.0,3.0 +2078,2.0,3.0 +2079,3.0,5.0 +2080,1.0,6.0 +2081,0.0,2.0 +2082,4.0,6.0 +2083,0.0,3.0 +2084,4.0,6.0 +2085,1.0,5.0 +2086,1.0,3.0 +2087,2.0,2.0 +2088,0.0,2.0 +2089,2.0,8.0 +2090,2.0,7.0 +2091,1.0,7.0 +2092,1.0,7.0 +2093,1.0,6.0 +2094,1.0,2.0 +2095,2.0,2.0 +2096,1.0,5.0 +2097,1.0,4.0 +2098,0.0,5.0 +2099,0.0,3.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/648-peak+year_c.csv b/SurgeData/648-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/648-peak+year_c.csv rename to SurgeData/648-peak+year_c.csv diff --git a/SurgeData/N=1000/648-peak+year_w.csv b/SurgeData/648-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/648-peak+year_w.csv rename to SurgeData/648-peak+year_w.csv diff --git a/SurgeData/N=1000/648-peak_c.csv b/SurgeData/648-peak_c.csv similarity index 100% rename from SurgeData/N=1000/648-peak_c.csv rename to SurgeData/648-peak_c.csv diff --git a/SurgeData/N=1000/648-peak_w.csv b/SurgeData/648-peak_w.csv similarity index 100% rename from SurgeData/N=1000/648-peak_w.csv rename to SurgeData/648-peak_w.csv diff --git a/SurgeData/N=1000/648-surge_c.csv b/SurgeData/648-surge_c.csv similarity index 100% rename from SurgeData/N=1000/648-surge_c.csv rename to SurgeData/648-surge_c.csv diff --git a/SurgeData/N=1000/648-surge_w.csv b/SurgeData/648-surge_w.csv similarity index 100% rename from SurgeData/N=1000/648-surge_w.csv rename to SurgeData/648-surge_w.csv diff --git a/SurgeData/N=1000/648-time_c.csv b/SurgeData/648-time_c.csv similarity index 100% rename from SurgeData/N=1000/648-time_c.csv rename to SurgeData/648-time_c.csv diff --git a/SurgeData/N=1000/648-time_w.csv b/SurgeData/648-time_w.csv similarity index 100% rename from SurgeData/N=1000/648-time_w.csv rename to SurgeData/648-time_w.csv diff --git a/SurgeData/N=1000/648-waterlevel_c.csv b/SurgeData/648-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/648-waterlevel_c.csv rename to SurgeData/648-waterlevel_c.csv diff --git a/SurgeData/N=1000/648-waterlevel_w.csv b/SurgeData/648-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/648-waterlevel_w.csv rename to SurgeData/648-waterlevel_w.csv diff --git a/SurgeData/649-num_storm.csv b/SurgeData/649-num_storm.csv new file mode 100644 index 00000000..6e6bed55 --- /dev/null +++ b/SurgeData/649-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,4.0,5.0 +2022,1.0,3.0 +2023,2.0,3.0 +2024,3.0,3.0 +2025,2.0,2.0 +2026,0.0,2.0 +2027,0.0,5.0 +2028,0.0,5.0 +2029,2.0,6.0 +2030,1.0,0.0 +2031,1.0,6.0 +2032,2.0,6.0 +2033,0.0,4.0 +2034,0.0,3.0 +2035,3.0,5.0 +2036,3.0,2.0 +2037,2.0,8.0 +2038,3.0,5.0 +2039,1.0,4.0 +2040,0.0,6.0 +2041,2.0,4.0 +2042,2.0,4.0 +2043,4.0,4.0 +2044,2.0,2.0 +2045,0.0,2.0 +2046,0.0,3.0 +2047,1.0,2.0 +2048,4.0,4.0 +2049,2.0,6.0 +2050,0.0,3.0 +2051,2.0,5.0 +2052,1.0,1.0 +2053,1.0,4.0 +2054,2.0,5.0 +2055,5.0,4.0 +2056,0.0,2.0 +2057,1.0,3.0 +2058,3.0,3.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,1.0,6.0 +2062,3.0,6.0 +2063,2.0,2.0 +2064,2.0,7.0 +2065,1.0,5.0 +2066,0.0,2.0 +2067,3.0,5.0 +2068,3.0,6.0 +2069,1.0,2.0 +2070,1.0,8.0 +2071,2.0,3.0 +2072,2.0,5.0 +2073,4.0,3.0 +2074,3.0,4.0 +2075,2.0,10.0 +2076,2.0,4.0 +2077,1.0,6.0 +2078,1.0,5.0 +2079,1.0,5.0 +2080,1.0,6.0 +2081,1.0,6.0 +2082,2.0,5.0 +2083,3.0,4.0 +2084,2.0,2.0 +2085,4.0,3.0 +2086,1.0,5.0 +2087,1.0,4.0 +2088,2.0,4.0 +2089,1.0,5.0 +2090,2.0,2.0 +2091,3.0,4.0 +2092,2.0,6.0 +2093,2.0,1.0 +2094,3.0,3.0 +2095,1.0,5.0 +2096,2.0,6.0 +2097,1.0,2.0 +2098,3.0,4.0 +2099,1.0,6.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/649-peak+year_c.csv b/SurgeData/649-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/649-peak+year_c.csv rename to SurgeData/649-peak+year_c.csv diff --git a/SurgeData/N=1000/649-peak+year_w.csv b/SurgeData/649-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/649-peak+year_w.csv rename to SurgeData/649-peak+year_w.csv diff --git a/SurgeData/N=1000/649-peak_c.csv b/SurgeData/649-peak_c.csv similarity index 100% rename from SurgeData/N=1000/649-peak_c.csv rename to SurgeData/649-peak_c.csv diff --git a/SurgeData/N=1000/649-peak_w.csv b/SurgeData/649-peak_w.csv similarity index 100% rename from SurgeData/N=1000/649-peak_w.csv rename to SurgeData/649-peak_w.csv diff --git a/SurgeData/N=1000/649-surge_c.csv b/SurgeData/649-surge_c.csv similarity index 100% rename from SurgeData/N=1000/649-surge_c.csv rename to SurgeData/649-surge_c.csv diff --git a/SurgeData/N=1000/649-surge_w.csv b/SurgeData/649-surge_w.csv similarity index 100% rename from SurgeData/N=1000/649-surge_w.csv rename to SurgeData/649-surge_w.csv diff --git a/SurgeData/N=1000/649-time_c.csv b/SurgeData/649-time_c.csv similarity index 100% rename from SurgeData/N=1000/649-time_c.csv rename to SurgeData/649-time_c.csv diff --git a/SurgeData/N=1000/649-time_w.csv b/SurgeData/649-time_w.csv similarity index 100% rename from SurgeData/N=1000/649-time_w.csv rename to SurgeData/649-time_w.csv diff --git a/SurgeData/N=1000/649-waterlevel_c.csv b/SurgeData/649-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/649-waterlevel_c.csv rename to SurgeData/649-waterlevel_c.csv diff --git a/SurgeData/N=1000/649-waterlevel_w.csv b/SurgeData/649-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/649-waterlevel_w.csv rename to SurgeData/649-waterlevel_w.csv diff --git a/SurgeData/N=1000/65-peak+year_c.csv b/SurgeData/65-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/65-peak+year_c.csv rename to SurgeData/65-peak+year_c.csv diff --git a/SurgeData/N=1000/65-peak+year_w.csv b/SurgeData/65-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/65-peak+year_w.csv rename to SurgeData/65-peak+year_w.csv diff --git a/SurgeData/N=1000/65-peak_c.csv b/SurgeData/65-peak_c.csv similarity index 100% rename from SurgeData/N=1000/65-peak_c.csv rename to SurgeData/65-peak_c.csv diff --git a/SurgeData/N=1000/65-peak_w.csv b/SurgeData/65-peak_w.csv similarity index 100% rename from SurgeData/N=1000/65-peak_w.csv rename to SurgeData/65-peak_w.csv diff --git a/SurgeData/N=1000/65-surge_c.csv b/SurgeData/65-surge_c.csv similarity index 100% rename from SurgeData/N=1000/65-surge_c.csv rename to SurgeData/65-surge_c.csv diff --git a/SurgeData/N=1000/65-surge_w.csv b/SurgeData/65-surge_w.csv similarity index 100% rename from SurgeData/N=1000/65-surge_w.csv rename to SurgeData/65-surge_w.csv diff --git a/SurgeData/N=1000/65-time_c.csv b/SurgeData/65-time_c.csv similarity index 100% rename from SurgeData/N=1000/65-time_c.csv rename to SurgeData/65-time_c.csv diff --git a/SurgeData/N=1000/65-time_w.csv b/SurgeData/65-time_w.csv similarity index 100% rename from SurgeData/N=1000/65-time_w.csv rename to SurgeData/65-time_w.csv diff --git a/SurgeData/N=1000/65-waterlevel_c.csv b/SurgeData/65-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/65-waterlevel_c.csv rename to SurgeData/65-waterlevel_c.csv diff --git a/SurgeData/N=1000/65-waterlevel_w.csv b/SurgeData/65-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/65-waterlevel_w.csv rename to SurgeData/65-waterlevel_w.csv diff --git a/SurgeData/650-num_storm.csv b/SurgeData/650-num_storm.csv new file mode 100644 index 00000000..79c4ec90 --- /dev/null +++ b/SurgeData/650-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,3.0,1.0 +2022,4.0,0.0 +2023,2.0,4.0 +2024,2.0,2.0 +2025,2.0,4.0 +2026,0.0,2.0 +2027,1.0,2.0 +2028,1.0,7.0 +2029,1.0,6.0 +2030,1.0,0.0 +2031,2.0,4.0 +2032,1.0,6.0 +2033,0.0,5.0 +2034,1.0,3.0 +2035,2.0,7.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,3.0,1.0 +2041,2.0,6.0 +2042,1.0,4.0 +2043,0.0,0.0 +2044,0.0,7.0 +2045,2.0,3.0 +2046,4.0,5.0 +2047,0.0,4.0 +2048,4.0,6.0 +2049,0.0,1.0 +2050,1.0,7.0 +2051,0.0,7.0 +2052,1.0,4.0 +2053,2.0,2.0 +2054,2.0,5.0 +2055,2.0,4.0 +2056,1.0,5.0 +2057,2.0,4.0 +2058,1.0,4.0 +2059,1.0,2.0 +2060,2.0,4.0 +2061,1.0,2.0 +2062,1.0,3.0 +2063,0.0,4.0 +2064,2.0,2.0 +2065,2.0,4.0 +2066,2.0,4.0 +2067,1.0,3.0 +2068,2.0,3.0 +2069,3.0,4.0 +2070,0.0,3.0 +2071,1.0,7.0 +2072,3.0,7.0 +2073,0.0,4.0 +2074,1.0,9.0 +2075,4.0,4.0 +2076,1.0,1.0 +2077,2.0,5.0 +2078,1.0,2.0 +2079,2.0,1.0 +2080,1.0,6.0 +2081,2.0,8.0 +2082,2.0,4.0 +2083,1.0,2.0 +2084,0.0,5.0 +2085,1.0,7.0 +2086,1.0,0.0 +2087,1.0,2.0 +2088,4.0,5.0 +2089,0.0,8.0 +2090,1.0,4.0 +2091,2.0,0.0 +2092,0.0,3.0 +2093,1.0,4.0 +2094,0.0,5.0 +2095,2.0,1.0 +2096,1.0,3.0 +2097,2.0,7.0 +2098,1.0,6.0 +2099,2.0,3.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/650-peak+year_c.csv b/SurgeData/650-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/650-peak+year_c.csv rename to SurgeData/650-peak+year_c.csv diff --git a/SurgeData/N=1000/650-peak+year_w.csv b/SurgeData/650-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/650-peak+year_w.csv rename to SurgeData/650-peak+year_w.csv diff --git a/SurgeData/N=1000/650-peak_c.csv b/SurgeData/650-peak_c.csv similarity index 100% rename from SurgeData/N=1000/650-peak_c.csv rename to SurgeData/650-peak_c.csv diff --git a/SurgeData/N=1000/650-peak_w.csv b/SurgeData/650-peak_w.csv similarity index 100% rename from SurgeData/N=1000/650-peak_w.csv rename to SurgeData/650-peak_w.csv diff --git a/SurgeData/N=1000/650-surge_c.csv b/SurgeData/650-surge_c.csv similarity index 100% rename from SurgeData/N=1000/650-surge_c.csv rename to SurgeData/650-surge_c.csv diff --git a/SurgeData/N=1000/650-surge_w.csv b/SurgeData/650-surge_w.csv similarity index 100% rename from SurgeData/N=1000/650-surge_w.csv rename to SurgeData/650-surge_w.csv diff --git a/SurgeData/N=1000/650-time_c.csv b/SurgeData/650-time_c.csv similarity index 100% rename from SurgeData/N=1000/650-time_c.csv rename to SurgeData/650-time_c.csv diff --git a/SurgeData/N=1000/650-time_w.csv b/SurgeData/650-time_w.csv similarity index 100% rename from SurgeData/N=1000/650-time_w.csv rename to SurgeData/650-time_w.csv diff --git a/SurgeData/N=1000/650-waterlevel_c.csv b/SurgeData/650-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/650-waterlevel_c.csv rename to SurgeData/650-waterlevel_c.csv diff --git a/SurgeData/N=1000/650-waterlevel_w.csv b/SurgeData/650-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/650-waterlevel_w.csv rename to SurgeData/650-waterlevel_w.csv diff --git a/SurgeData/651-num_storm.csv b/SurgeData/651-num_storm.csv new file mode 100644 index 00000000..25ab029e --- /dev/null +++ b/SurgeData/651-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,4.0,2.0 +2022,0.0,3.0 +2023,1.0,5.0 +2024,1.0,0.0 +2025,2.0,4.0 +2026,2.0,5.0 +2027,2.0,2.0 +2028,3.0,9.0 +2029,1.0,8.0 +2030,1.0,7.0 +2031,1.0,3.0 +2032,4.0,6.0 +2033,0.0,4.0 +2034,2.0,7.0 +2035,1.0,3.0 +2036,2.0,4.0 +2037,0.0,1.0 +2038,3.0,3.0 +2039,2.0,3.0 +2040,1.0,2.0 +2041,4.0,2.0 +2042,2.0,3.0 +2043,1.0,1.0 +2044,0.0,1.0 +2045,1.0,4.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,1.0,5.0 +2049,2.0,6.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,3.0,6.0 +2053,3.0,7.0 +2054,2.0,5.0 +2055,2.0,2.0 +2056,0.0,6.0 +2057,1.0,3.0 +2058,2.0,3.0 +2059,0.0,2.0 +2060,1.0,4.0 +2061,2.0,4.0 +2062,0.0,2.0 +2063,2.0,1.0 +2064,1.0,1.0 +2065,2.0,2.0 +2066,1.0,4.0 +2067,0.0,8.0 +2068,1.0,1.0 +2069,2.0,4.0 +2070,1.0,6.0 +2071,0.0,4.0 +2072,0.0,4.0 +2073,0.0,2.0 +2074,0.0,4.0 +2075,0.0,6.0 +2076,1.0,5.0 +2077,2.0,1.0 +2078,1.0,2.0 +2079,1.0,7.0 +2080,1.0,5.0 +2081,2.0,5.0 +2082,2.0,5.0 +2083,3.0,5.0 +2084,1.0,0.0 +2085,0.0,1.0 +2086,1.0,5.0 +2087,0.0,2.0 +2088,2.0,4.0 +2089,0.0,0.0 +2090,0.0,5.0 +2091,0.0,4.0 +2092,1.0,2.0 +2093,3.0,6.0 +2094,3.0,4.0 +2095,2.0,2.0 +2096,1.0,4.0 +2097,2.0,5.0 +2098,0.0,3.0 +2099,1.0,7.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/651-peak+year_c.csv b/SurgeData/651-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/651-peak+year_c.csv rename to SurgeData/651-peak+year_c.csv diff --git a/SurgeData/N=1000/651-peak+year_w.csv b/SurgeData/651-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/651-peak+year_w.csv rename to SurgeData/651-peak+year_w.csv diff --git a/SurgeData/N=1000/651-peak_c.csv b/SurgeData/651-peak_c.csv similarity index 100% rename from SurgeData/N=1000/651-peak_c.csv rename to SurgeData/651-peak_c.csv diff --git a/SurgeData/N=1000/651-peak_w.csv b/SurgeData/651-peak_w.csv similarity index 100% rename from SurgeData/N=1000/651-peak_w.csv rename to SurgeData/651-peak_w.csv diff --git a/SurgeData/N=1000/651-surge_c.csv b/SurgeData/651-surge_c.csv similarity index 100% rename from SurgeData/N=1000/651-surge_c.csv rename to SurgeData/651-surge_c.csv diff --git a/SurgeData/N=1000/651-surge_w.csv b/SurgeData/651-surge_w.csv similarity index 100% rename from SurgeData/N=1000/651-surge_w.csv rename to SurgeData/651-surge_w.csv diff --git a/SurgeData/N=1000/651-time_c.csv b/SurgeData/651-time_c.csv similarity index 100% rename from SurgeData/N=1000/651-time_c.csv rename to SurgeData/651-time_c.csv diff --git a/SurgeData/N=1000/651-time_w.csv b/SurgeData/651-time_w.csv similarity index 100% rename from SurgeData/N=1000/651-time_w.csv rename to SurgeData/651-time_w.csv diff --git a/SurgeData/N=1000/651-waterlevel_c.csv b/SurgeData/651-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/651-waterlevel_c.csv rename to SurgeData/651-waterlevel_c.csv diff --git a/SurgeData/N=1000/651-waterlevel_w.csv b/SurgeData/651-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/651-waterlevel_w.csv rename to SurgeData/651-waterlevel_w.csv diff --git a/SurgeData/N=1000/652-peak+year_c.csv b/SurgeData/652-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/652-peak+year_c.csv rename to SurgeData/652-peak+year_c.csv diff --git a/SurgeData/N=1000/652-peak+year_w.csv b/SurgeData/652-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/652-peak+year_w.csv rename to SurgeData/652-peak+year_w.csv diff --git a/SurgeData/N=1000/652-peak_c.csv b/SurgeData/652-peak_c.csv similarity index 100% rename from SurgeData/N=1000/652-peak_c.csv rename to SurgeData/652-peak_c.csv diff --git a/SurgeData/N=1000/652-peak_w.csv b/SurgeData/652-peak_w.csv similarity index 100% rename from SurgeData/N=1000/652-peak_w.csv rename to SurgeData/652-peak_w.csv diff --git a/SurgeData/N=1000/652-surge_c.csv b/SurgeData/652-surge_c.csv similarity index 100% rename from SurgeData/N=1000/652-surge_c.csv rename to SurgeData/652-surge_c.csv diff --git a/SurgeData/N=1000/652-surge_w.csv b/SurgeData/652-surge_w.csv similarity index 100% rename from SurgeData/N=1000/652-surge_w.csv rename to SurgeData/652-surge_w.csv diff --git a/SurgeData/N=1000/652-time_c.csv b/SurgeData/652-time_c.csv similarity index 100% rename from SurgeData/N=1000/652-time_c.csv rename to SurgeData/652-time_c.csv diff --git a/SurgeData/N=1000/652-time_w.csv b/SurgeData/652-time_w.csv similarity index 100% rename from SurgeData/N=1000/652-time_w.csv rename to SurgeData/652-time_w.csv diff --git a/SurgeData/N=1000/652-waterlevel_c.csv b/SurgeData/652-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/652-waterlevel_c.csv rename to SurgeData/652-waterlevel_c.csv diff --git a/SurgeData/N=1000/652-waterlevel_w.csv b/SurgeData/652-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/652-waterlevel_w.csv rename to SurgeData/652-waterlevel_w.csv diff --git a/SurgeData/653-num_storm.csv b/SurgeData/653-num_storm.csv new file mode 100644 index 00000000..c52ad76c --- /dev/null +++ b/SurgeData/653-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,4.0,1.0 +2022,1.0,4.0 +2023,0.0,2.0 +2024,1.0,3.0 +2025,2.0,7.0 +2026,3.0,4.0 +2027,1.0,7.0 +2028,1.0,1.0 +2029,3.0,5.0 +2030,0.0,3.0 +2031,3.0,4.0 +2032,1.0,4.0 +2033,4.0,2.0 +2034,0.0,1.0 +2035,4.0,8.0 +2036,2.0,6.0 +2037,2.0,4.0 +2038,3.0,2.0 +2039,1.0,2.0 +2040,0.0,3.0 +2041,3.0,4.0 +2042,4.0,2.0 +2043,0.0,3.0 +2044,1.0,3.0 +2045,2.0,6.0 +2046,1.0,9.0 +2047,2.0,7.0 +2048,2.0,10.0 +2049,1.0,3.0 +2050,2.0,5.0 +2051,4.0,2.0 +2052,2.0,6.0 +2053,2.0,4.0 +2054,2.0,2.0 +2055,1.0,0.0 +2056,1.0,8.0 +2057,3.0,7.0 +2058,3.0,4.0 +2059,1.0,5.0 +2060,3.0,2.0 +2061,2.0,3.0 +2062,1.0,1.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,1.0,2.0 +2066,2.0,5.0 +2067,3.0,5.0 +2068,0.0,2.0 +2069,5.0,4.0 +2070,0.0,4.0 +2071,1.0,4.0 +2072,2.0,7.0 +2073,2.0,1.0 +2074,3.0,2.0 +2075,1.0,3.0 +2076,2.0,6.0 +2077,2.0,5.0 +2078,2.0,4.0 +2079,1.0,2.0 +2080,2.0,2.0 +2081,1.0,3.0 +2082,0.0,6.0 +2083,0.0,4.0 +2084,2.0,4.0 +2085,4.0,6.0 +2086,2.0,2.0 +2087,3.0,3.0 +2088,0.0,5.0 +2089,1.0,1.0 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SurgeData/N=1000/653-surge_c.csv rename to SurgeData/653-surge_c.csv diff --git a/SurgeData/N=1000/653-surge_w.csv b/SurgeData/653-surge_w.csv similarity index 100% rename from SurgeData/N=1000/653-surge_w.csv rename to SurgeData/653-surge_w.csv diff --git a/SurgeData/N=1000/653-time_c.csv b/SurgeData/653-time_c.csv similarity index 100% rename from SurgeData/N=1000/653-time_c.csv rename to SurgeData/653-time_c.csv diff --git a/SurgeData/N=1000/653-time_w.csv b/SurgeData/653-time_w.csv similarity index 100% rename from SurgeData/N=1000/653-time_w.csv rename to SurgeData/653-time_w.csv diff --git a/SurgeData/N=1000/653-waterlevel_c.csv b/SurgeData/653-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/653-waterlevel_c.csv rename to SurgeData/653-waterlevel_c.csv diff --git a/SurgeData/N=1000/653-waterlevel_w.csv b/SurgeData/653-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/653-waterlevel_w.csv rename to SurgeData/653-waterlevel_w.csv diff --git a/SurgeData/654-num_storm.csv b/SurgeData/654-num_storm.csv new file mode 100644 index 00000000..7c336ab5 --- /dev/null +++ b/SurgeData/654-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,6.0 +2022,0.0,7.0 +2023,2.0,4.0 +2024,2.0,3.0 +2025,0.0,2.0 +2026,3.0,1.0 +2027,2.0,4.0 +2028,2.0,4.0 +2029,1.0,4.0 +2030,4.0,3.0 +2031,1.0,5.0 +2032,0.0,5.0 +2033,2.0,5.0 +2034,1.0,7.0 +2035,3.0,4.0 +2036,0.0,8.0 +2037,2.0,2.0 +2038,3.0,3.0 +2039,2.0,3.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,3.0,4.0 +2043,0.0,3.0 +2044,1.0,5.0 +2045,1.0,7.0 +2046,2.0,3.0 +2047,1.0,2.0 +2048,0.0,3.0 +2049,2.0,2.0 +2050,1.0,4.0 +2051,3.0,10.0 +2052,2.0,7.0 +2053,3.0,3.0 +2054,2.0,3.0 +2055,0.0,3.0 +2056,2.0,3.0 +2057,1.0,6.0 +2058,1.0,6.0 +2059,2.0,5.0 +2060,3.0,4.0 +2061,2.0,3.0 +2062,0.0,1.0 +2063,2.0,4.0 +2064,0.0,3.0 +2065,0.0,2.0 +2066,2.0,3.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,0.0,5.0 +2070,0.0,4.0 +2071,1.0,7.0 +2072,1.0,2.0 +2073,1.0,5.0 +2074,4.0,0.0 +2075,2.0,7.0 +2076,1.0,8.0 +2077,0.0,6.0 +2078,1.0,2.0 +2079,1.0,2.0 +2080,0.0,3.0 +2081,1.0,4.0 +2082,0.0,6.0 +2083,2.0,7.0 +2084,1.0,4.0 +2085,0.0,5.0 +2086,2.0,4.0 +2087,3.0,3.0 +2088,0.0,0.0 +2089,0.0,3.0 +2090,2.0,5.0 +2091,1.0,7.0 +2092,2.0,2.0 +2093,0.0,3.0 +2094,3.0,6.0 +2095,2.0,3.0 +2096,0.0,1.0 +2097,0.0,4.0 +2098,1.0,5.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/654-peak+year_c.csv b/SurgeData/654-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/654-peak+year_c.csv rename to SurgeData/654-peak+year_c.csv diff --git a/SurgeData/N=1000/654-peak+year_w.csv b/SurgeData/654-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/654-peak+year_w.csv rename to SurgeData/654-peak+year_w.csv diff --git a/SurgeData/N=1000/654-peak_c.csv b/SurgeData/654-peak_c.csv similarity index 100% rename from SurgeData/N=1000/654-peak_c.csv rename to SurgeData/654-peak_c.csv diff --git a/SurgeData/N=1000/654-peak_w.csv b/SurgeData/654-peak_w.csv similarity index 100% rename from SurgeData/N=1000/654-peak_w.csv rename to SurgeData/654-peak_w.csv diff --git a/SurgeData/N=1000/654-surge_c.csv b/SurgeData/654-surge_c.csv similarity index 100% rename from SurgeData/N=1000/654-surge_c.csv rename to SurgeData/654-surge_c.csv diff --git a/SurgeData/N=1000/654-surge_w.csv b/SurgeData/654-surge_w.csv similarity index 100% rename from SurgeData/N=1000/654-surge_w.csv rename to SurgeData/654-surge_w.csv diff --git a/SurgeData/N=1000/654-time_c.csv b/SurgeData/654-time_c.csv similarity index 100% rename from SurgeData/N=1000/654-time_c.csv rename to SurgeData/654-time_c.csv diff --git a/SurgeData/N=1000/654-time_w.csv b/SurgeData/654-time_w.csv similarity index 100% rename from SurgeData/N=1000/654-time_w.csv rename to SurgeData/654-time_w.csv diff --git a/SurgeData/N=1000/654-waterlevel_c.csv b/SurgeData/654-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/654-waterlevel_c.csv rename to SurgeData/654-waterlevel_c.csv diff --git a/SurgeData/N=1000/654-waterlevel_w.csv b/SurgeData/654-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/654-waterlevel_w.csv rename to SurgeData/654-waterlevel_w.csv diff --git a/SurgeData/655-num_storm.csv b/SurgeData/655-num_storm.csv new file mode 100644 index 00000000..2b05b01b --- /dev/null +++ b/SurgeData/655-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,3.0 +2022,0.0,5.0 +2023,1.0,5.0 +2024,2.0,2.0 +2025,1.0,4.0 +2026,1.0,7.0 +2027,2.0,1.0 +2028,2.0,1.0 +2029,3.0,4.0 +2030,2.0,4.0 +2031,3.0,8.0 +2032,1.0,3.0 +2033,1.0,5.0 +2034,1.0,6.0 +2035,1.0,7.0 +2036,1.0,2.0 +2037,1.0,2.0 +2038,1.0,4.0 +2039,0.0,3.0 +2040,1.0,3.0 +2041,2.0,3.0 +2042,0.0,4.0 +2043,0.0,4.0 +2044,3.0,3.0 +2045,3.0,5.0 +2046,0.0,4.0 +2047,2.0,2.0 +2048,0.0,2.0 +2049,0.0,4.0 +2050,2.0,4.0 +2051,1.0,6.0 +2052,3.0,2.0 +2053,3.0,3.0 +2054,1.0,5.0 +2055,1.0,3.0 +2056,3.0,2.0 +2057,0.0,3.0 +2058,1.0,2.0 +2059,1.0,4.0 +2060,1.0,6.0 +2061,1.0,2.0 +2062,4.0,3.0 +2063,2.0,7.0 +2064,1.0,7.0 +2065,2.0,8.0 +2066,1.0,2.0 +2067,3.0,6.0 +2068,4.0,2.0 +2069,5.0,6.0 +2070,2.0,4.0 +2071,1.0,1.0 +2072,2.0,6.0 +2073,2.0,3.0 +2074,3.0,7.0 +2075,1.0,3.0 +2076,2.0,6.0 +2077,0.0,5.0 +2078,5.0,5.0 +2079,1.0,5.0 +2080,1.0,6.0 +2081,2.0,4.0 +2082,2.0,6.0 +2083,4.0,5.0 +2084,4.0,4.0 +2085,1.0,2.0 +2086,1.0,2.0 +2087,0.0,8.0 +2088,1.0,3.0 +2089,2.0,3.0 +2090,2.0,5.0 +2091,2.0,3.0 +2092,4.0,2.0 +2093,2.0,1.0 +2094,1.0,6.0 +2095,2.0,2.0 +2096,1.0,3.0 +2097,2.0,5.0 +2098,3.0,3.0 +2099,1.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/655-peak+year_c.csv b/SurgeData/655-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/655-peak+year_c.csv rename to SurgeData/655-peak+year_c.csv diff --git a/SurgeData/N=1000/655-peak+year_w.csv b/SurgeData/655-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/655-peak+year_w.csv rename to SurgeData/655-peak+year_w.csv diff --git a/SurgeData/N=1000/655-peak_c.csv b/SurgeData/655-peak_c.csv similarity index 100% rename from SurgeData/N=1000/655-peak_c.csv rename to SurgeData/655-peak_c.csv diff --git a/SurgeData/N=1000/655-peak_w.csv b/SurgeData/655-peak_w.csv similarity index 100% rename from SurgeData/N=1000/655-peak_w.csv rename to SurgeData/655-peak_w.csv diff --git a/SurgeData/N=1000/655-surge_c.csv b/SurgeData/655-surge_c.csv similarity index 100% rename from SurgeData/N=1000/655-surge_c.csv rename to SurgeData/655-surge_c.csv diff --git a/SurgeData/N=1000/655-surge_w.csv b/SurgeData/655-surge_w.csv similarity index 100% rename from SurgeData/N=1000/655-surge_w.csv rename to SurgeData/655-surge_w.csv diff --git a/SurgeData/N=1000/655-time_c.csv b/SurgeData/655-time_c.csv similarity index 100% rename from SurgeData/N=1000/655-time_c.csv rename to SurgeData/655-time_c.csv diff --git a/SurgeData/N=1000/655-time_w.csv b/SurgeData/655-time_w.csv similarity index 100% rename from SurgeData/N=1000/655-time_w.csv rename to SurgeData/655-time_w.csv diff --git a/SurgeData/N=1000/655-waterlevel_c.csv b/SurgeData/655-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/655-waterlevel_c.csv rename to SurgeData/655-waterlevel_c.csv diff --git a/SurgeData/N=1000/655-waterlevel_w.csv b/SurgeData/655-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/655-waterlevel_w.csv rename to SurgeData/655-waterlevel_w.csv diff --git a/SurgeData/656-num_storm.csv b/SurgeData/656-num_storm.csv new file mode 100644 index 00000000..c50eebdc --- /dev/null +++ b/SurgeData/656-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,6.0 +2022,1.0,8.0 +2023,1.0,3.0 +2024,3.0,2.0 +2025,2.0,3.0 +2026,1.0,2.0 +2027,4.0,7.0 +2028,3.0,3.0 +2029,5.0,2.0 +2030,3.0,1.0 +2031,1.0,3.0 +2032,3.0,5.0 +2033,0.0,4.0 +2034,2.0,4.0 +2035,3.0,7.0 +2036,2.0,4.0 +2037,2.0,1.0 +2038,2.0,5.0 +2039,1.0,1.0 +2040,1.0,5.0 +2041,2.0,5.0 +2042,0.0,7.0 +2043,3.0,4.0 +2044,1.0,4.0 +2045,2.0,2.0 +2046,3.0,6.0 +2047,1.0,1.0 +2048,5.0,6.0 +2049,0.0,2.0 +2050,2.0,0.0 +2051,1.0,4.0 +2052,1.0,0.0 +2053,1.0,8.0 +2054,2.0,5.0 +2055,1.0,6.0 +2056,1.0,3.0 +2057,2.0,6.0 +2058,3.0,3.0 +2059,0.0,4.0 +2060,1.0,4.0 +2061,2.0,1.0 +2062,2.0,4.0 +2063,0.0,5.0 +2064,2.0,2.0 +2065,3.0,3.0 +2066,3.0,1.0 +2067,2.0,5.0 +2068,3.0,4.0 +2069,1.0,4.0 +2070,2.0,4.0 +2071,2.0,4.0 +2072,1.0,8.0 +2073,2.0,5.0 +2074,3.0,4.0 +2075,2.0,2.0 +2076,1.0,2.0 +2077,1.0,2.0 +2078,1.0,7.0 +2079,1.0,0.0 +2080,3.0,2.0 +2081,2.0,2.0 +2082,2.0,3.0 +2083,4.0,7.0 +2084,0.0,6.0 +2085,0.0,4.0 +2086,4.0,8.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,2.0,4.0 +2090,1.0,2.0 +2091,1.0,0.0 +2092,0.0,5.0 +2093,2.0,3.0 +2094,3.0,2.0 +2095,3.0,1.0 +2096,2.0,6.0 +2097,1.0,5.0 +2098,1.0,5.0 +2099,2.0,5.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/656-peak+year_c.csv b/SurgeData/656-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/656-peak+year_c.csv rename to SurgeData/656-peak+year_c.csv diff --git a/SurgeData/N=1000/656-peak+year_w.csv b/SurgeData/656-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/656-peak+year_w.csv rename to SurgeData/656-peak+year_w.csv diff --git a/SurgeData/N=1000/656-peak_c.csv b/SurgeData/656-peak_c.csv similarity index 100% rename from SurgeData/N=1000/656-peak_c.csv rename to SurgeData/656-peak_c.csv diff --git a/SurgeData/N=1000/656-peak_w.csv b/SurgeData/656-peak_w.csv similarity index 100% rename from SurgeData/N=1000/656-peak_w.csv rename to SurgeData/656-peak_w.csv diff --git a/SurgeData/N=1000/656-surge_c.csv b/SurgeData/656-surge_c.csv similarity index 100% rename from SurgeData/N=1000/656-surge_c.csv rename to SurgeData/656-surge_c.csv diff --git a/SurgeData/N=1000/656-surge_w.csv b/SurgeData/656-surge_w.csv similarity index 100% rename from SurgeData/N=1000/656-surge_w.csv rename to SurgeData/656-surge_w.csv diff --git a/SurgeData/N=1000/656-time_c.csv b/SurgeData/656-time_c.csv similarity index 100% rename from SurgeData/N=1000/656-time_c.csv rename to SurgeData/656-time_c.csv diff --git a/SurgeData/N=1000/656-time_w.csv b/SurgeData/656-time_w.csv similarity index 100% rename from SurgeData/N=1000/656-time_w.csv rename to SurgeData/656-time_w.csv diff --git a/SurgeData/N=1000/656-waterlevel_c.csv b/SurgeData/656-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/656-waterlevel_c.csv rename to SurgeData/656-waterlevel_c.csv diff --git a/SurgeData/N=1000/656-waterlevel_w.csv b/SurgeData/656-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/656-waterlevel_w.csv rename to SurgeData/656-waterlevel_w.csv diff --git a/SurgeData/657-num_storm.csv b/SurgeData/657-num_storm.csv new file mode 100644 index 00000000..d388e80b --- /dev/null +++ b/SurgeData/657-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,3.0 +2022,1.0,7.0 +2023,4.0,2.0 +2024,0.0,2.0 +2025,2.0,1.0 +2026,1.0,4.0 +2027,1.0,4.0 +2028,0.0,5.0 +2029,1.0,4.0 +2030,2.0,3.0 +2031,1.0,1.0 +2032,3.0,6.0 +2033,1.0,5.0 +2034,0.0,4.0 +2035,1.0,6.0 +2036,1.0,6.0 +2037,3.0,3.0 +2038,2.0,6.0 +2039,1.0,5.0 +2040,2.0,6.0 +2041,5.0,7.0 +2042,0.0,4.0 +2043,2.0,0.0 +2044,4.0,6.0 +2045,3.0,2.0 +2046,3.0,3.0 +2047,0.0,5.0 +2048,2.0,0.0 +2049,1.0,3.0 +2050,1.0,5.0 +2051,0.0,4.0 +2052,0.0,2.0 +2053,2.0,3.0 +2054,2.0,2.0 +2055,0.0,5.0 +2056,1.0,6.0 +2057,2.0,4.0 +2058,1.0,9.0 +2059,1.0,6.0 +2060,1.0,2.0 +2061,2.0,6.0 +2062,1.0,2.0 +2063,3.0,5.0 +2064,2.0,3.0 +2065,1.0,2.0 +2066,1.0,6.0 +2067,1.0,7.0 +2068,0.0,0.0 +2069,2.0,4.0 +2070,1.0,5.0 +2071,3.0,6.0 +2072,4.0,5.0 +2073,2.0,3.0 +2074,1.0,7.0 +2075,2.0,5.0 +2076,1.0,5.0 +2077,1.0,5.0 +2078,0.0,6.0 +2079,5.0,4.0 +2080,2.0,2.0 +2081,1.0,5.0 +2082,0.0,2.0 +2083,1.0,1.0 +2084,1.0,7.0 +2085,0.0,5.0 +2086,0.0,0.0 +2087,4.0,7.0 +2088,0.0,3.0 +2089,1.0,5.0 +2090,0.0,5.0 +2091,2.0,3.0 +2092,0.0,3.0 +2093,1.0,2.0 +2094,1.0,4.0 +2095,1.0,5.0 +2096,1.0,4.0 +2097,3.0,3.0 +2098,2.0,4.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/657-peak+year_c.csv b/SurgeData/657-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/657-peak+year_c.csv rename to SurgeData/657-peak+year_c.csv diff --git a/SurgeData/N=1000/657-peak+year_w.csv b/SurgeData/657-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/657-peak+year_w.csv rename to SurgeData/657-peak+year_w.csv diff --git a/SurgeData/N=1000/657-peak_c.csv b/SurgeData/657-peak_c.csv similarity index 100% rename from SurgeData/N=1000/657-peak_c.csv rename to SurgeData/657-peak_c.csv diff --git a/SurgeData/N=1000/657-peak_w.csv b/SurgeData/657-peak_w.csv similarity index 100% rename from SurgeData/N=1000/657-peak_w.csv rename to SurgeData/657-peak_w.csv diff --git a/SurgeData/N=1000/657-surge_c.csv b/SurgeData/657-surge_c.csv similarity index 100% rename from SurgeData/N=1000/657-surge_c.csv rename to SurgeData/657-surge_c.csv diff --git a/SurgeData/N=1000/657-surge_w.csv b/SurgeData/657-surge_w.csv similarity index 100% rename from SurgeData/N=1000/657-surge_w.csv rename to SurgeData/657-surge_w.csv diff --git a/SurgeData/N=1000/657-time_c.csv b/SurgeData/657-time_c.csv similarity index 100% rename from SurgeData/N=1000/657-time_c.csv rename to SurgeData/657-time_c.csv diff --git a/SurgeData/N=1000/657-time_w.csv b/SurgeData/657-time_w.csv similarity index 100% rename from SurgeData/N=1000/657-time_w.csv rename to SurgeData/657-time_w.csv diff --git a/SurgeData/N=1000/657-waterlevel_c.csv b/SurgeData/657-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/657-waterlevel_c.csv rename to SurgeData/657-waterlevel_c.csv diff --git a/SurgeData/N=1000/657-waterlevel_w.csv b/SurgeData/657-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/657-waterlevel_w.csv rename to SurgeData/657-waterlevel_w.csv diff --git a/SurgeData/658-num_storm.csv b/SurgeData/658-num_storm.csv new file mode 100644 index 00000000..37f1af1c --- /dev/null +++ b/SurgeData/658-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,0.0 +2022,1.0,0.0 +2023,2.0,5.0 +2024,3.0,6.0 +2025,1.0,2.0 +2026,1.0,6.0 +2027,0.0,5.0 +2028,2.0,2.0 +2029,1.0,5.0 +2030,4.0,8.0 +2031,0.0,6.0 +2032,0.0,5.0 +2033,1.0,8.0 +2034,0.0,3.0 +2035,0.0,3.0 +2036,3.0,6.0 +2037,2.0,7.0 +2038,2.0,5.0 +2039,2.0,3.0 +2040,4.0,4.0 +2041,2.0,6.0 +2042,1.0,4.0 +2043,2.0,4.0 +2044,0.0,4.0 +2045,0.0,5.0 +2046,0.0,6.0 +2047,1.0,3.0 +2048,3.0,2.0 +2049,0.0,3.0 +2050,1.0,3.0 +2051,1.0,5.0 +2052,0.0,4.0 +2053,1.0,0.0 +2054,1.0,4.0 +2055,0.0,2.0 +2056,2.0,5.0 +2057,3.0,3.0 +2058,0.0,7.0 +2059,2.0,3.0 +2060,1.0,2.0 +2061,2.0,6.0 +2062,2.0,2.0 +2063,5.0,4.0 +2064,2.0,1.0 +2065,4.0,1.0 +2066,2.0,13.0 +2067,2.0,2.0 +2068,0.0,8.0 +2069,2.0,5.0 +2070,5.0,7.0 +2071,1.0,6.0 +2072,0.0,9.0 +2073,2.0,3.0 +2074,2.0,1.0 +2075,2.0,2.0 +2076,0.0,2.0 +2077,2.0,9.0 +2078,2.0,6.0 +2079,3.0,3.0 +2080,0.0,9.0 +2081,3.0,2.0 +2082,4.0,5.0 +2083,3.0,5.0 +2084,1.0,7.0 +2085,1.0,4.0 +2086,0.0,4.0 +2087,0.0,3.0 +2088,2.0,4.0 +2089,2.0,1.0 +2090,2.0,5.0 +2091,1.0,3.0 +2092,2.0,8.0 +2093,0.0,4.0 +2094,3.0,3.0 +2095,0.0,6.0 +2096,1.0,6.0 +2097,0.0,6.0 +2098,0.0,3.0 +2099,2.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/658-peak+year_c.csv b/SurgeData/658-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/658-peak+year_c.csv rename to SurgeData/658-peak+year_c.csv diff --git a/SurgeData/N=1000/658-peak+year_w.csv b/SurgeData/658-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/658-peak+year_w.csv rename to SurgeData/658-peak+year_w.csv diff --git a/SurgeData/N=1000/658-peak_c.csv b/SurgeData/658-peak_c.csv similarity index 100% rename from SurgeData/N=1000/658-peak_c.csv rename to SurgeData/658-peak_c.csv diff --git a/SurgeData/N=1000/658-peak_w.csv b/SurgeData/658-peak_w.csv similarity index 100% rename from SurgeData/N=1000/658-peak_w.csv rename to SurgeData/658-peak_w.csv diff --git a/SurgeData/N=1000/658-surge_c.csv b/SurgeData/658-surge_c.csv similarity index 100% rename from SurgeData/N=1000/658-surge_c.csv rename to SurgeData/658-surge_c.csv diff --git a/SurgeData/N=1000/658-surge_w.csv b/SurgeData/658-surge_w.csv similarity index 100% rename from SurgeData/N=1000/658-surge_w.csv rename to SurgeData/658-surge_w.csv diff --git a/SurgeData/N=1000/658-time_c.csv b/SurgeData/658-time_c.csv similarity index 100% rename from SurgeData/N=1000/658-time_c.csv rename to SurgeData/658-time_c.csv diff --git a/SurgeData/N=1000/658-time_w.csv b/SurgeData/658-time_w.csv similarity index 100% rename from SurgeData/N=1000/658-time_w.csv rename to SurgeData/658-time_w.csv diff --git a/SurgeData/N=1000/658-waterlevel_c.csv b/SurgeData/658-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/658-waterlevel_c.csv rename to SurgeData/658-waterlevel_c.csv diff --git a/SurgeData/N=1000/658-waterlevel_w.csv b/SurgeData/658-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/658-waterlevel_w.csv rename to SurgeData/658-waterlevel_w.csv diff --git a/SurgeData/659-num_storm.csv b/SurgeData/659-num_storm.csv new file mode 100644 index 00000000..f0be14e7 --- /dev/null +++ b/SurgeData/659-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,5.0 +2022,3.0,3.0 +2023,1.0,3.0 +2024,1.0,3.0 +2025,3.0,2.0 +2026,0.0,3.0 +2027,2.0,6.0 +2028,2.0,6.0 +2029,2.0,2.0 +2030,2.0,3.0 +2031,2.0,5.0 +2032,1.0,0.0 +2033,0.0,6.0 +2034,4.0,1.0 +2035,1.0,4.0 +2036,1.0,6.0 +2037,0.0,4.0 +2038,2.0,1.0 +2039,2.0,4.0 +2040,0.0,3.0 +2041,0.0,3.0 +2042,1.0,6.0 +2043,0.0,10.0 +2044,0.0,6.0 +2045,1.0,4.0 +2046,1.0,4.0 +2047,0.0,7.0 +2048,1.0,3.0 +2049,0.0,4.0 +2050,2.0,7.0 +2051,2.0,1.0 +2052,2.0,6.0 +2053,0.0,4.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,0.0,2.0 +2057,1.0,5.0 +2058,2.0,4.0 +2059,1.0,4.0 +2060,2.0,1.0 +2061,1.0,6.0 +2062,1.0,6.0 +2063,1.0,4.0 +2064,3.0,6.0 +2065,4.0,2.0 +2066,3.0,4.0 +2067,1.0,5.0 +2068,0.0,3.0 +2069,0.0,7.0 +2070,1.0,3.0 +2071,2.0,4.0 +2072,2.0,5.0 +2073,3.0,5.0 +2074,2.0,2.0 +2075,2.0,4.0 +2076,0.0,4.0 +2077,1.0,5.0 +2078,1.0,3.0 +2079,1.0,8.0 +2080,0.0,4.0 +2081,1.0,5.0 +2082,0.0,2.0 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a/SurgeData/N=1000/659-surge_c.csv b/SurgeData/659-surge_c.csv similarity index 100% rename from SurgeData/N=1000/659-surge_c.csv rename to SurgeData/659-surge_c.csv diff --git a/SurgeData/N=1000/659-surge_w.csv b/SurgeData/659-surge_w.csv similarity index 100% rename from SurgeData/N=1000/659-surge_w.csv rename to SurgeData/659-surge_w.csv diff --git a/SurgeData/N=1000/659-time_c.csv b/SurgeData/659-time_c.csv similarity index 100% rename from SurgeData/N=1000/659-time_c.csv rename to SurgeData/659-time_c.csv diff --git a/SurgeData/N=1000/659-time_w.csv b/SurgeData/659-time_w.csv similarity index 100% rename from SurgeData/N=1000/659-time_w.csv rename to SurgeData/659-time_w.csv diff --git a/SurgeData/N=1000/659-waterlevel_c.csv b/SurgeData/659-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/659-waterlevel_c.csv rename to SurgeData/659-waterlevel_c.csv diff --git a/SurgeData/N=1000/659-waterlevel_w.csv b/SurgeData/659-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/659-waterlevel_w.csv rename to SurgeData/659-waterlevel_w.csv diff --git a/SurgeData/66-num_storm.csv b/SurgeData/66-num_storm.csv new file mode 100644 index 00000000..0a4fee7e --- /dev/null +++ b/SurgeData/66-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,0.0,3.0 +2023,1.0,5.0 +2024,2.0,1.0 +2025,1.0,3.0 +2026,0.0,1.0 +2027,2.0,8.0 +2028,2.0,5.0 +2029,3.0,1.0 +2030,1.0,4.0 +2031,5.0,6.0 +2032,1.0,8.0 +2033,0.0,8.0 +2034,3.0,2.0 +2035,0.0,4.0 +2036,4.0,3.0 +2037,2.0,5.0 +2038,2.0,5.0 +2039,0.0,4.0 +2040,2.0,6.0 +2041,1.0,7.0 +2042,0.0,10.0 +2043,2.0,4.0 +2044,0.0,4.0 +2045,1.0,6.0 +2046,3.0,8.0 +2047,0.0,5.0 +2048,2.0,4.0 +2049,3.0,4.0 +2050,3.0,4.0 +2051,2.0,5.0 +2052,5.0,4.0 +2053,1.0,2.0 +2054,0.0,3.0 +2055,0.0,7.0 +2056,2.0,0.0 +2057,0.0,3.0 +2058,3.0,5.0 +2059,0.0,4.0 +2060,5.0,3.0 +2061,4.0,1.0 +2062,2.0,5.0 +2063,1.0,5.0 +2064,1.0,6.0 +2065,1.0,2.0 +2066,1.0,3.0 +2067,0.0,3.0 +2068,2.0,5.0 +2069,0.0,6.0 +2070,2.0,8.0 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a/SurgeData/N=1000/66-peak_w.csv b/SurgeData/66-peak_w.csv similarity index 100% rename from SurgeData/N=1000/66-peak_w.csv rename to SurgeData/66-peak_w.csv diff --git a/SurgeData/N=1000/66-surge_c.csv b/SurgeData/66-surge_c.csv similarity index 100% rename from SurgeData/N=1000/66-surge_c.csv rename to SurgeData/66-surge_c.csv diff --git a/SurgeData/N=1000/66-surge_w.csv b/SurgeData/66-surge_w.csv similarity index 100% rename from SurgeData/N=1000/66-surge_w.csv rename to SurgeData/66-surge_w.csv diff --git a/SurgeData/N=1000/66-time_c.csv b/SurgeData/66-time_c.csv similarity index 100% rename from SurgeData/N=1000/66-time_c.csv rename to SurgeData/66-time_c.csv diff --git a/SurgeData/N=1000/66-time_w.csv b/SurgeData/66-time_w.csv similarity index 100% rename from SurgeData/N=1000/66-time_w.csv rename to SurgeData/66-time_w.csv diff --git a/SurgeData/N=1000/66-waterlevel_c.csv b/SurgeData/66-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/66-waterlevel_c.csv rename to SurgeData/66-waterlevel_c.csv diff --git a/SurgeData/N=1000/66-waterlevel_w.csv b/SurgeData/66-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/66-waterlevel_w.csv rename to SurgeData/66-waterlevel_w.csv diff --git a/SurgeData/660-num_storm.csv b/SurgeData/660-num_storm.csv new file mode 100644 index 00000000..d370c95b --- /dev/null +++ b/SurgeData/660-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,8.0 +2022,0.0,4.0 +2023,1.0,3.0 +2024,0.0,2.0 +2025,2.0,6.0 +2026,0.0,1.0 +2027,1.0,6.0 +2028,2.0,6.0 +2029,1.0,4.0 +2030,1.0,3.0 +2031,0.0,5.0 +2032,3.0,4.0 +2033,0.0,4.0 +2034,3.0,4.0 +2035,0.0,8.0 +2036,0.0,5.0 +2037,0.0,7.0 +2038,0.0,2.0 +2039,1.0,3.0 +2040,3.0,3.0 +2041,1.0,9.0 +2042,2.0,3.0 +2043,1.0,2.0 +2044,1.0,4.0 +2045,1.0,6.0 +2046,0.0,5.0 +2047,2.0,2.0 +2048,2.0,8.0 +2049,3.0,7.0 +2050,3.0,3.0 +2051,2.0,0.0 +2052,1.0,3.0 +2053,3.0,5.0 +2054,4.0,8.0 +2055,1.0,6.0 +2056,1.0,5.0 +2057,4.0,5.0 +2058,0.0,5.0 +2059,0.0,0.0 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a/SurgeData/N=1000/660-peak_c.csv b/SurgeData/660-peak_c.csv similarity index 100% rename from SurgeData/N=1000/660-peak_c.csv rename to SurgeData/660-peak_c.csv diff --git a/SurgeData/N=1000/660-peak_w.csv b/SurgeData/660-peak_w.csv similarity index 100% rename from SurgeData/N=1000/660-peak_w.csv rename to SurgeData/660-peak_w.csv diff --git a/SurgeData/N=1000/660-surge_c.csv b/SurgeData/660-surge_c.csv similarity index 100% rename from SurgeData/N=1000/660-surge_c.csv rename to SurgeData/660-surge_c.csv diff --git a/SurgeData/N=1000/660-surge_w.csv b/SurgeData/660-surge_w.csv similarity index 100% rename from SurgeData/N=1000/660-surge_w.csv rename to SurgeData/660-surge_w.csv diff --git a/SurgeData/N=1000/660-time_c.csv b/SurgeData/660-time_c.csv similarity index 100% rename from SurgeData/N=1000/660-time_c.csv rename to SurgeData/660-time_c.csv diff --git a/SurgeData/N=1000/660-time_w.csv b/SurgeData/660-time_w.csv similarity index 100% rename from SurgeData/N=1000/660-time_w.csv rename to SurgeData/660-time_w.csv diff --git a/SurgeData/N=1000/660-waterlevel_c.csv b/SurgeData/660-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/660-waterlevel_c.csv rename to SurgeData/660-waterlevel_c.csv diff --git a/SurgeData/N=1000/660-waterlevel_w.csv b/SurgeData/660-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/660-waterlevel_w.csv rename to SurgeData/660-waterlevel_w.csv diff --git a/SurgeData/N=1000/661-peak+year_c.csv b/SurgeData/661-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/661-peak+year_c.csv rename to SurgeData/661-peak+year_c.csv diff --git a/SurgeData/N=1000/661-peak+year_w.csv b/SurgeData/661-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/661-peak+year_w.csv rename to SurgeData/661-peak+year_w.csv diff --git a/SurgeData/N=1000/661-peak_c.csv b/SurgeData/661-peak_c.csv similarity index 100% rename from SurgeData/N=1000/661-peak_c.csv rename to SurgeData/661-peak_c.csv diff --git a/SurgeData/N=1000/661-peak_w.csv b/SurgeData/661-peak_w.csv similarity index 100% rename from SurgeData/N=1000/661-peak_w.csv rename to SurgeData/661-peak_w.csv diff --git a/SurgeData/N=1000/661-surge_c.csv b/SurgeData/661-surge_c.csv similarity index 100% rename from SurgeData/N=1000/661-surge_c.csv rename to SurgeData/661-surge_c.csv diff --git a/SurgeData/N=1000/661-surge_w.csv b/SurgeData/661-surge_w.csv similarity index 100% rename from SurgeData/N=1000/661-surge_w.csv rename to SurgeData/661-surge_w.csv diff --git a/SurgeData/N=1000/661-time_c.csv b/SurgeData/661-time_c.csv similarity index 100% rename from SurgeData/N=1000/661-time_c.csv rename to SurgeData/661-time_c.csv diff --git a/SurgeData/N=1000/661-time_w.csv b/SurgeData/661-time_w.csv similarity index 100% rename from SurgeData/N=1000/661-time_w.csv rename to SurgeData/661-time_w.csv diff --git a/SurgeData/N=1000/661-waterlevel_c.csv b/SurgeData/661-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/661-waterlevel_c.csv rename to SurgeData/661-waterlevel_c.csv diff --git a/SurgeData/N=1000/661-waterlevel_w.csv b/SurgeData/661-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/661-waterlevel_w.csv rename to SurgeData/661-waterlevel_w.csv diff --git a/SurgeData/N=1000/662-peak+year_c.csv b/SurgeData/662-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/662-peak+year_c.csv rename to SurgeData/662-peak+year_c.csv diff --git a/SurgeData/N=1000/662-peak+year_w.csv b/SurgeData/662-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/662-peak+year_w.csv rename to SurgeData/662-peak+year_w.csv diff --git a/SurgeData/N=1000/662-peak_c.csv b/SurgeData/662-peak_c.csv similarity index 100% rename from SurgeData/N=1000/662-peak_c.csv rename to SurgeData/662-peak_c.csv diff --git a/SurgeData/N=1000/662-peak_w.csv b/SurgeData/662-peak_w.csv similarity index 100% rename from SurgeData/N=1000/662-peak_w.csv rename to SurgeData/662-peak_w.csv diff --git a/SurgeData/N=1000/662-surge_c.csv b/SurgeData/662-surge_c.csv similarity index 100% rename from SurgeData/N=1000/662-surge_c.csv rename to SurgeData/662-surge_c.csv diff --git a/SurgeData/N=1000/662-surge_w.csv b/SurgeData/662-surge_w.csv similarity index 100% rename from SurgeData/N=1000/662-surge_w.csv rename to SurgeData/662-surge_w.csv diff --git a/SurgeData/N=1000/662-time_c.csv b/SurgeData/662-time_c.csv similarity index 100% rename from SurgeData/N=1000/662-time_c.csv rename to SurgeData/662-time_c.csv diff --git a/SurgeData/N=1000/662-time_w.csv b/SurgeData/662-time_w.csv similarity index 100% rename from SurgeData/N=1000/662-time_w.csv rename to SurgeData/662-time_w.csv diff --git a/SurgeData/N=1000/662-waterlevel_c.csv b/SurgeData/662-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/662-waterlevel_c.csv rename to SurgeData/662-waterlevel_c.csv diff --git a/SurgeData/N=1000/662-waterlevel_w.csv b/SurgeData/662-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/662-waterlevel_w.csv rename to SurgeData/662-waterlevel_w.csv diff --git a/SurgeData/N=1000/663-peak+year_c.csv b/SurgeData/663-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/663-peak+year_c.csv rename to SurgeData/663-peak+year_c.csv diff --git a/SurgeData/N=1000/663-peak+year_w.csv b/SurgeData/663-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/663-peak+year_w.csv rename to SurgeData/663-peak+year_w.csv diff --git a/SurgeData/N=1000/663-peak_c.csv b/SurgeData/663-peak_c.csv similarity index 100% rename from SurgeData/N=1000/663-peak_c.csv rename to SurgeData/663-peak_c.csv diff --git a/SurgeData/N=1000/663-peak_w.csv b/SurgeData/663-peak_w.csv similarity index 100% rename from SurgeData/N=1000/663-peak_w.csv rename to SurgeData/663-peak_w.csv diff --git a/SurgeData/N=1000/663-surge_c.csv b/SurgeData/663-surge_c.csv similarity index 100% rename from SurgeData/N=1000/663-surge_c.csv rename to SurgeData/663-surge_c.csv diff --git a/SurgeData/N=1000/663-surge_w.csv b/SurgeData/663-surge_w.csv similarity index 100% rename from SurgeData/N=1000/663-surge_w.csv rename to SurgeData/663-surge_w.csv diff --git a/SurgeData/N=1000/663-time_c.csv b/SurgeData/663-time_c.csv similarity index 100% rename from SurgeData/N=1000/663-time_c.csv rename to SurgeData/663-time_c.csv diff --git a/SurgeData/N=1000/663-time_w.csv b/SurgeData/663-time_w.csv similarity index 100% rename from SurgeData/N=1000/663-time_w.csv rename to SurgeData/663-time_w.csv diff --git a/SurgeData/N=1000/663-waterlevel_c.csv b/SurgeData/663-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/663-waterlevel_c.csv rename to SurgeData/663-waterlevel_c.csv diff --git a/SurgeData/N=1000/663-waterlevel_w.csv b/SurgeData/663-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/663-waterlevel_w.csv rename to SurgeData/663-waterlevel_w.csv diff --git a/SurgeData/664-num_storm.csv b/SurgeData/664-num_storm.csv new file mode 100644 index 00000000..26702a81 --- /dev/null +++ b/SurgeData/664-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,2.0,1.0 +2023,0.0,4.0 +2024,1.0,6.0 +2025,2.0,3.0 +2026,0.0,2.0 +2027,0.0,6.0 +2028,2.0,5.0 +2029,2.0,1.0 +2030,2.0,3.0 +2031,1.0,5.0 +2032,1.0,1.0 +2033,3.0,1.0 +2034,2.0,2.0 +2035,2.0,3.0 +2036,1.0,1.0 +2037,0.0,5.0 +2038,0.0,1.0 +2039,1.0,6.0 +2040,0.0,4.0 +2041,1.0,1.0 +2042,0.0,6.0 +2043,1.0,8.0 +2044,1.0,4.0 +2045,4.0,2.0 +2046,2.0,0.0 +2047,2.0,1.0 +2048,2.0,7.0 +2049,2.0,3.0 +2050,2.0,2.0 +2051,1.0,1.0 +2052,0.0,0.0 +2053,2.0,5.0 +2054,4.0,2.0 +2055,1.0,3.0 +2056,2.0,6.0 +2057,0.0,5.0 +2058,1.0,2.0 +2059,3.0,3.0 +2060,1.0,1.0 +2061,0.0,6.0 +2062,0.0,3.0 +2063,0.0,7.0 +2064,1.0,5.0 +2065,1.0,7.0 +2066,0.0,6.0 +2067,4.0,4.0 +2068,1.0,4.0 +2069,6.0,5.0 +2070,2.0,2.0 +2071,1.0,6.0 +2072,1.0,4.0 +2073,0.0,7.0 +2074,1.0,3.0 +2075,2.0,1.0 +2076,3.0,4.0 +2077,1.0,2.0 +2078,0.0,4.0 +2079,0.0,7.0 +2080,1.0,1.0 +2081,1.0,2.0 +2082,1.0,2.0 +2083,1.0,1.0 +2084,1.0,3.0 +2085,1.0,4.0 +2086,1.0,8.0 +2087,1.0,3.0 +2088,2.0,2.0 +2089,0.0,5.0 +2090,3.0,10.0 +2091,4.0,9.0 +2092,1.0,5.0 +2093,2.0,3.0 +2094,1.0,5.0 +2095,2.0,1.0 +2096,1.0,3.0 +2097,2.0,3.0 +2098,0.0,2.0 +2099,1.0,6.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/664-peak+year_c.csv b/SurgeData/664-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/664-peak+year_c.csv rename to SurgeData/664-peak+year_c.csv diff --git a/SurgeData/N=1000/664-peak+year_w.csv b/SurgeData/664-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/664-peak+year_w.csv rename to SurgeData/664-peak+year_w.csv diff --git a/SurgeData/N=1000/664-peak_c.csv b/SurgeData/664-peak_c.csv similarity index 100% rename from SurgeData/N=1000/664-peak_c.csv rename to SurgeData/664-peak_c.csv diff --git a/SurgeData/N=1000/664-peak_w.csv b/SurgeData/664-peak_w.csv similarity index 100% rename from SurgeData/N=1000/664-peak_w.csv rename to SurgeData/664-peak_w.csv diff --git a/SurgeData/N=1000/664-surge_c.csv b/SurgeData/664-surge_c.csv similarity index 100% rename from SurgeData/N=1000/664-surge_c.csv rename to SurgeData/664-surge_c.csv diff --git a/SurgeData/N=1000/664-surge_w.csv b/SurgeData/664-surge_w.csv similarity index 100% rename from SurgeData/N=1000/664-surge_w.csv rename to SurgeData/664-surge_w.csv diff --git a/SurgeData/N=1000/664-time_c.csv b/SurgeData/664-time_c.csv similarity index 100% rename from SurgeData/N=1000/664-time_c.csv rename to SurgeData/664-time_c.csv diff --git a/SurgeData/N=1000/664-time_w.csv b/SurgeData/664-time_w.csv similarity index 100% rename from SurgeData/N=1000/664-time_w.csv rename to SurgeData/664-time_w.csv diff --git a/SurgeData/N=1000/664-waterlevel_c.csv b/SurgeData/664-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/664-waterlevel_c.csv rename to SurgeData/664-waterlevel_c.csv diff --git a/SurgeData/N=1000/664-waterlevel_w.csv b/SurgeData/664-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/664-waterlevel_w.csv rename to SurgeData/664-waterlevel_w.csv diff --git a/SurgeData/665-num_storm.csv b/SurgeData/665-num_storm.csv new file mode 100644 index 00000000..f31c9ee6 --- /dev/null +++ b/SurgeData/665-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,4.0 +2022,1.0,7.0 +2023,2.0,3.0 +2024,1.0,3.0 +2025,1.0,3.0 +2026,2.0,7.0 +2027,0.0,5.0 +2028,2.0,7.0 +2029,4.0,3.0 +2030,2.0,1.0 +2031,1.0,2.0 +2032,0.0,4.0 +2033,6.0,3.0 +2034,2.0,3.0 +2035,0.0,5.0 +2036,2.0,3.0 +2037,3.0,4.0 +2038,3.0,3.0 +2039,1.0,6.0 +2040,0.0,3.0 +2041,3.0,5.0 +2042,1.0,5.0 +2043,4.0,2.0 +2044,1.0,6.0 +2045,3.0,3.0 +2046,1.0,3.0 +2047,1.0,4.0 +2048,1.0,3.0 +2049,3.0,2.0 +2050,2.0,3.0 +2051,2.0,5.0 +2052,0.0,5.0 +2053,2.0,8.0 +2054,2.0,6.0 +2055,1.0,4.0 +2056,3.0,7.0 +2057,2.0,6.0 +2058,2.0,9.0 +2059,4.0,2.0 +2060,1.0,3.0 +2061,2.0,6.0 +2062,3.0,7.0 +2063,1.0,8.0 +2064,1.0,4.0 +2065,3.0,4.0 +2066,0.0,6.0 +2067,2.0,5.0 +2068,1.0,5.0 +2069,4.0,1.0 +2070,2.0,6.0 +2071,1.0,2.0 +2072,1.0,3.0 +2073,3.0,6.0 +2074,4.0,4.0 +2075,2.0,4.0 +2076,1.0,5.0 +2077,0.0,4.0 +2078,3.0,4.0 +2079,0.0,3.0 +2080,1.0,5.0 +2081,1.0,4.0 +2082,2.0,7.0 +2083,1.0,5.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,0.0,2.0 +2087,0.0,4.0 +2088,3.0,3.0 +2089,0.0,2.0 +2090,3.0,5.0 +2091,1.0,5.0 +2092,2.0,6.0 +2093,1.0,3.0 +2094,2.0,3.0 +2095,1.0,4.0 +2096,1.0,0.0 +2097,2.0,6.0 +2098,1.0,6.0 +2099,1.0,8.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/665-peak+year_c.csv b/SurgeData/665-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/665-peak+year_c.csv rename to SurgeData/665-peak+year_c.csv diff --git a/SurgeData/N=1000/665-peak+year_w.csv b/SurgeData/665-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/665-peak+year_w.csv rename to SurgeData/665-peak+year_w.csv diff --git a/SurgeData/N=1000/665-peak_c.csv b/SurgeData/665-peak_c.csv similarity index 100% rename from SurgeData/N=1000/665-peak_c.csv rename to SurgeData/665-peak_c.csv diff --git a/SurgeData/N=1000/665-peak_w.csv b/SurgeData/665-peak_w.csv similarity index 100% rename from SurgeData/N=1000/665-peak_w.csv rename to SurgeData/665-peak_w.csv diff --git a/SurgeData/N=1000/665-surge_c.csv b/SurgeData/665-surge_c.csv similarity index 100% rename from SurgeData/N=1000/665-surge_c.csv rename to SurgeData/665-surge_c.csv diff --git a/SurgeData/N=1000/665-surge_w.csv b/SurgeData/665-surge_w.csv similarity index 100% rename from SurgeData/N=1000/665-surge_w.csv rename to SurgeData/665-surge_w.csv diff --git a/SurgeData/N=1000/665-time_c.csv b/SurgeData/665-time_c.csv similarity index 100% rename from SurgeData/N=1000/665-time_c.csv rename to SurgeData/665-time_c.csv diff --git a/SurgeData/N=1000/665-time_w.csv b/SurgeData/665-time_w.csv similarity index 100% rename from SurgeData/N=1000/665-time_w.csv rename to SurgeData/665-time_w.csv diff --git a/SurgeData/N=1000/665-waterlevel_c.csv b/SurgeData/665-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/665-waterlevel_c.csv rename to SurgeData/665-waterlevel_c.csv diff --git a/SurgeData/N=1000/665-waterlevel_w.csv b/SurgeData/665-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/665-waterlevel_w.csv rename to SurgeData/665-waterlevel_w.csv diff --git a/SurgeData/666-num_storm.csv b/SurgeData/666-num_storm.csv new file mode 100644 index 00000000..21e0782e --- /dev/null +++ b/SurgeData/666-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,4.0 +2022,0.0,5.0 +2023,1.0,2.0 +2024,2.0,6.0 +2025,1.0,6.0 +2026,1.0,3.0 +2027,1.0,4.0 +2028,2.0,5.0 +2029,1.0,6.0 +2030,2.0,3.0 +2031,2.0,4.0 +2032,2.0,7.0 +2033,0.0,4.0 +2034,0.0,1.0 +2035,1.0,6.0 +2036,2.0,6.0 +2037,1.0,8.0 +2038,2.0,5.0 +2039,3.0,3.0 +2040,3.0,5.0 +2041,0.0,3.0 +2042,2.0,6.0 +2043,0.0,6.0 +2044,1.0,3.0 +2045,1.0,2.0 +2046,0.0,2.0 +2047,0.0,4.0 +2048,1.0,5.0 +2049,1.0,4.0 +2050,1.0,4.0 +2051,0.0,6.0 +2052,0.0,4.0 +2053,2.0,3.0 +2054,0.0,6.0 +2055,0.0,1.0 +2056,5.0,3.0 +2057,1.0,4.0 +2058,1.0,7.0 +2059,0.0,5.0 +2060,1.0,4.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,2.0,3.0 +2066,1.0,6.0 +2067,0.0,6.0 +2068,2.0,9.0 +2069,2.0,3.0 +2070,2.0,7.0 +2071,1.0,4.0 +2072,2.0,1.0 +2073,0.0,5.0 +2074,2.0,7.0 +2075,2.0,5.0 +2076,2.0,6.0 +2077,1.0,3.0 +2078,1.0,5.0 +2079,3.0,1.0 +2080,1.0,1.0 +2081,1.0,5.0 +2082,0.0,4.0 +2083,1.0,9.0 +2084,3.0,4.0 +2085,2.0,6.0 +2086,1.0,3.0 +2087,5.0,1.0 +2088,1.0,0.0 +2089,2.0,3.0 +2090,2.0,6.0 +2091,5.0,5.0 +2092,0.0,3.0 +2093,3.0,7.0 +2094,3.0,5.0 +2095,2.0,0.0 +2096,1.0,4.0 +2097,2.0,4.0 +2098,1.0,4.0 +2099,3.0,0.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/666-peak+year_c.csv b/SurgeData/666-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/666-peak+year_c.csv rename to SurgeData/666-peak+year_c.csv diff --git a/SurgeData/N=1000/666-peak+year_w.csv b/SurgeData/666-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/666-peak+year_w.csv rename to SurgeData/666-peak+year_w.csv diff --git a/SurgeData/N=1000/666-peak_c.csv b/SurgeData/666-peak_c.csv similarity index 100% rename from SurgeData/N=1000/666-peak_c.csv rename to SurgeData/666-peak_c.csv diff --git a/SurgeData/N=1000/666-peak_w.csv b/SurgeData/666-peak_w.csv similarity index 100% rename from SurgeData/N=1000/666-peak_w.csv rename to SurgeData/666-peak_w.csv diff --git a/SurgeData/N=1000/666-surge_c.csv b/SurgeData/666-surge_c.csv similarity index 100% rename from SurgeData/N=1000/666-surge_c.csv rename to SurgeData/666-surge_c.csv diff --git a/SurgeData/N=1000/666-surge_w.csv b/SurgeData/666-surge_w.csv similarity index 100% rename from SurgeData/N=1000/666-surge_w.csv rename to SurgeData/666-surge_w.csv diff --git a/SurgeData/N=1000/666-time_c.csv b/SurgeData/666-time_c.csv similarity index 100% rename from SurgeData/N=1000/666-time_c.csv rename to SurgeData/666-time_c.csv diff --git a/SurgeData/N=1000/666-time_w.csv b/SurgeData/666-time_w.csv similarity index 100% rename from SurgeData/N=1000/666-time_w.csv rename to SurgeData/666-time_w.csv diff --git a/SurgeData/N=1000/666-waterlevel_c.csv b/SurgeData/666-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/666-waterlevel_c.csv rename to SurgeData/666-waterlevel_c.csv diff --git a/SurgeData/N=1000/666-waterlevel_w.csv b/SurgeData/666-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/666-waterlevel_w.csv rename to SurgeData/666-waterlevel_w.csv diff --git a/SurgeData/667-num_storm.csv b/SurgeData/667-num_storm.csv new file mode 100644 index 00000000..c1956f96 --- /dev/null +++ b/SurgeData/667-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,4.0,5.0 +2022,2.0,5.0 +2023,0.0,3.0 +2024,0.0,3.0 +2025,0.0,2.0 +2026,1.0,6.0 +2027,4.0,5.0 +2028,5.0,4.0 +2029,0.0,6.0 +2030,1.0,8.0 +2031,1.0,3.0 +2032,1.0,8.0 +2033,3.0,4.0 +2034,3.0,1.0 +2035,4.0,4.0 +2036,2.0,4.0 +2037,1.0,6.0 +2038,1.0,4.0 +2039,1.0,1.0 +2040,4.0,2.0 +2041,1.0,3.0 +2042,3.0,4.0 +2043,4.0,8.0 +2044,0.0,5.0 +2045,1.0,5.0 +2046,1.0,3.0 +2047,3.0,6.0 +2048,1.0,4.0 +2049,0.0,6.0 +2050,2.0,8.0 +2051,3.0,3.0 +2052,3.0,3.0 +2053,3.0,3.0 +2054,1.0,3.0 +2055,1.0,7.0 +2056,1.0,6.0 +2057,1.0,4.0 +2058,1.0,8.0 +2059,3.0,1.0 +2060,1.0,6.0 +2061,3.0,3.0 +2062,1.0,3.0 +2063,2.0,1.0 +2064,1.0,4.0 +2065,1.0,3.0 +2066,0.0,4.0 +2067,2.0,5.0 +2068,0.0,6.0 +2069,1.0,6.0 +2070,0.0,4.0 +2071,0.0,7.0 +2072,2.0,7.0 +2073,0.0,10.0 +2074,3.0,4.0 +2075,0.0,6.0 +2076,1.0,4.0 +2077,0.0,8.0 +2078,2.0,8.0 +2079,2.0,2.0 +2080,5.0,5.0 +2081,0.0,4.0 +2082,1.0,4.0 +2083,3.0,5.0 +2084,4.0,6.0 +2085,2.0,4.0 +2086,1.0,7.0 +2087,3.0,7.0 +2088,2.0,2.0 +2089,3.0,5.0 +2090,5.0,5.0 +2091,0.0,5.0 +2092,2.0,3.0 +2093,1.0,3.0 +2094,2.0,0.0 +2095,0.0,4.0 +2096,0.0,2.0 +2097,0.0,6.0 +2098,2.0,5.0 +2099,2.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/667-peak+year_c.csv b/SurgeData/667-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/667-peak+year_c.csv rename to SurgeData/667-peak+year_c.csv diff --git a/SurgeData/N=1000/667-peak+year_w.csv b/SurgeData/667-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/667-peak+year_w.csv rename to SurgeData/667-peak+year_w.csv diff --git a/SurgeData/N=1000/667-peak_c.csv b/SurgeData/667-peak_c.csv similarity index 100% rename from SurgeData/N=1000/667-peak_c.csv rename to SurgeData/667-peak_c.csv diff --git a/SurgeData/N=1000/667-peak_w.csv b/SurgeData/667-peak_w.csv similarity index 100% rename from SurgeData/N=1000/667-peak_w.csv rename to SurgeData/667-peak_w.csv diff --git a/SurgeData/N=1000/667-surge_c.csv b/SurgeData/667-surge_c.csv similarity index 100% rename from SurgeData/N=1000/667-surge_c.csv rename to SurgeData/667-surge_c.csv diff --git a/SurgeData/N=1000/667-surge_w.csv b/SurgeData/667-surge_w.csv similarity index 100% rename from SurgeData/N=1000/667-surge_w.csv rename to SurgeData/667-surge_w.csv diff --git a/SurgeData/N=1000/667-time_c.csv b/SurgeData/667-time_c.csv similarity index 100% rename from SurgeData/N=1000/667-time_c.csv rename to SurgeData/667-time_c.csv diff --git a/SurgeData/N=1000/667-time_w.csv b/SurgeData/667-time_w.csv similarity index 100% rename from SurgeData/N=1000/667-time_w.csv rename to SurgeData/667-time_w.csv diff --git a/SurgeData/N=1000/667-waterlevel_c.csv b/SurgeData/667-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/667-waterlevel_c.csv rename to SurgeData/667-waterlevel_c.csv diff --git a/SurgeData/N=1000/667-waterlevel_w.csv b/SurgeData/667-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/667-waterlevel_w.csv rename to SurgeData/667-waterlevel_w.csv diff --git a/SurgeData/N=1000/668-peak+year_c.csv b/SurgeData/668-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/668-peak+year_c.csv rename to SurgeData/668-peak+year_c.csv diff --git a/SurgeData/N=1000/668-peak+year_w.csv b/SurgeData/668-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/668-peak+year_w.csv rename to SurgeData/668-peak+year_w.csv diff --git a/SurgeData/N=1000/668-peak_c.csv b/SurgeData/668-peak_c.csv similarity index 100% rename from SurgeData/N=1000/668-peak_c.csv rename to SurgeData/668-peak_c.csv diff --git a/SurgeData/N=1000/668-peak_w.csv b/SurgeData/668-peak_w.csv similarity index 100% rename from SurgeData/N=1000/668-peak_w.csv rename to SurgeData/668-peak_w.csv diff --git a/SurgeData/N=1000/668-surge_c.csv b/SurgeData/668-surge_c.csv similarity index 100% rename from SurgeData/N=1000/668-surge_c.csv rename to SurgeData/668-surge_c.csv diff --git a/SurgeData/N=1000/668-surge_w.csv b/SurgeData/668-surge_w.csv similarity index 100% rename from SurgeData/N=1000/668-surge_w.csv rename to SurgeData/668-surge_w.csv diff --git a/SurgeData/N=1000/668-time_c.csv b/SurgeData/668-time_c.csv similarity index 100% rename from SurgeData/N=1000/668-time_c.csv rename to SurgeData/668-time_c.csv diff --git a/SurgeData/N=1000/668-time_w.csv b/SurgeData/668-time_w.csv similarity index 100% rename from SurgeData/N=1000/668-time_w.csv rename to SurgeData/668-time_w.csv diff --git a/SurgeData/N=1000/668-waterlevel_c.csv b/SurgeData/668-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/668-waterlevel_c.csv rename to SurgeData/668-waterlevel_c.csv diff --git a/SurgeData/N=1000/668-waterlevel_w.csv b/SurgeData/668-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/668-waterlevel_w.csv rename to SurgeData/668-waterlevel_w.csv diff --git a/SurgeData/669-num_storm.csv b/SurgeData/669-num_storm.csv new file mode 100644 index 00000000..29539c46 --- /dev/null +++ b/SurgeData/669-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,3.0 +2022,3.0,2.0 +2023,3.0,6.0 +2024,1.0,4.0 +2025,3.0,4.0 +2026,0.0,3.0 +2027,2.0,7.0 +2028,1.0,5.0 +2029,2.0,5.0 +2030,4.0,2.0 +2031,1.0,4.0 +2032,0.0,8.0 +2033,1.0,1.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,3.0,2.0 +2037,0.0,4.0 +2038,2.0,5.0 +2039,2.0,8.0 +2040,1.0,1.0 +2041,1.0,2.0 +2042,2.0,2.0 +2043,2.0,6.0 +2044,1.0,4.0 +2045,2.0,5.0 +2046,2.0,1.0 +2047,2.0,3.0 +2048,2.0,6.0 +2049,2.0,6.0 +2050,1.0,4.0 +2051,5.0,6.0 +2052,3.0,7.0 +2053,2.0,4.0 +2054,2.0,6.0 +2055,3.0,3.0 +2056,0.0,6.0 +2057,3.0,4.0 +2058,4.0,3.0 +2059,0.0,3.0 +2060,4.0,7.0 +2061,1.0,3.0 +2062,1.0,4.0 +2063,2.0,0.0 +2064,1.0,1.0 +2065,1.0,3.0 +2066,2.0,3.0 +2067,2.0,7.0 +2068,1.0,6.0 +2069,1.0,4.0 +2070,3.0,5.0 +2071,3.0,4.0 +2072,0.0,8.0 +2073,3.0,3.0 +2074,1.0,5.0 +2075,2.0,4.0 +2076,1.0,2.0 +2077,0.0,2.0 +2078,1.0,1.0 +2079,4.0,2.0 +2080,1.0,8.0 +2081,1.0,5.0 +2082,4.0,3.0 +2083,0.0,2.0 +2084,1.0,1.0 +2085,2.0,5.0 +2086,1.0,3.0 +2087,2.0,3.0 +2088,1.0,6.0 +2089,3.0,3.0 +2090,1.0,6.0 +2091,3.0,3.0 +2092,1.0,6.0 +2093,1.0,2.0 +2094,1.0,0.0 +2095,3.0,1.0 +2096,4.0,3.0 +2097,2.0,3.0 +2098,1.0,6.0 +2099,1.0,7.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/669-peak+year_c.csv b/SurgeData/669-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/669-peak+year_c.csv rename to SurgeData/669-peak+year_c.csv diff --git a/SurgeData/N=1000/669-peak+year_w.csv b/SurgeData/669-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/669-peak+year_w.csv rename to SurgeData/669-peak+year_w.csv diff --git a/SurgeData/N=1000/669-peak_c.csv b/SurgeData/669-peak_c.csv similarity index 100% rename from SurgeData/N=1000/669-peak_c.csv rename to SurgeData/669-peak_c.csv diff --git a/SurgeData/N=1000/669-peak_w.csv b/SurgeData/669-peak_w.csv similarity index 100% rename from SurgeData/N=1000/669-peak_w.csv rename to SurgeData/669-peak_w.csv diff --git a/SurgeData/N=1000/669-surge_c.csv b/SurgeData/669-surge_c.csv similarity index 100% rename from SurgeData/N=1000/669-surge_c.csv rename to SurgeData/669-surge_c.csv diff --git a/SurgeData/N=1000/669-surge_w.csv b/SurgeData/669-surge_w.csv similarity index 100% rename from SurgeData/N=1000/669-surge_w.csv rename to SurgeData/669-surge_w.csv diff --git a/SurgeData/N=1000/669-time_c.csv b/SurgeData/669-time_c.csv similarity index 100% rename from SurgeData/N=1000/669-time_c.csv rename to SurgeData/669-time_c.csv diff --git a/SurgeData/N=1000/669-time_w.csv b/SurgeData/669-time_w.csv similarity index 100% rename from SurgeData/N=1000/669-time_w.csv rename to SurgeData/669-time_w.csv diff --git a/SurgeData/N=1000/669-waterlevel_c.csv b/SurgeData/669-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/669-waterlevel_c.csv rename to SurgeData/669-waterlevel_c.csv diff --git a/SurgeData/N=1000/669-waterlevel_w.csv b/SurgeData/669-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/669-waterlevel_w.csv rename to SurgeData/669-waterlevel_w.csv diff --git a/SurgeData/67-num_storm.csv b/SurgeData/67-num_storm.csv new file mode 100644 index 00000000..636ead32 --- /dev/null +++ b/SurgeData/67-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,9.0 +2021,1.0,1.0 +2022,1.0,3.0 +2023,1.0,2.0 +2024,1.0,2.0 +2025,1.0,5.0 +2026,1.0,5.0 +2027,0.0,3.0 +2028,0.0,4.0 +2029,3.0,5.0 +2030,2.0,4.0 +2031,2.0,3.0 +2032,0.0,6.0 +2033,0.0,7.0 +2034,3.0,4.0 +2035,0.0,3.0 +2036,1.0,3.0 +2037,2.0,3.0 +2038,0.0,2.0 +2039,2.0,8.0 +2040,1.0,7.0 +2041,2.0,3.0 +2042,2.0,6.0 +2043,2.0,7.0 +2044,3.0,6.0 +2045,2.0,0.0 +2046,2.0,2.0 +2047,1.0,7.0 +2048,0.0,4.0 +2049,0.0,2.0 +2050,2.0,3.0 +2051,2.0,2.0 +2052,1.0,8.0 +2053,0.0,4.0 +2054,2.0,7.0 +2055,0.0,3.0 +2056,1.0,1.0 +2057,2.0,9.0 +2058,3.0,5.0 +2059,1.0,3.0 +2060,0.0,2.0 +2061,0.0,4.0 +2062,1.0,1.0 +2063,1.0,0.0 +2064,3.0,6.0 +2065,2.0,3.0 +2066,1.0,4.0 +2067,1.0,5.0 +2068,2.0,5.0 +2069,2.0,1.0 +2070,1.0,4.0 +2071,5.0,9.0 +2072,2.0,3.0 +2073,2.0,5.0 +2074,2.0,1.0 +2075,1.0,5.0 +2076,1.0,6.0 +2077,3.0,1.0 +2078,1.0,5.0 +2079,0.0,5.0 +2080,3.0,2.0 +2081,0.0,5.0 +2082,2.0,1.0 +2083,0.0,3.0 +2084,4.0,5.0 +2085,5.0,7.0 +2086,3.0,5.0 +2087,3.0,5.0 +2088,0.0,5.0 +2089,2.0,9.0 +2090,1.0,1.0 +2091,0.0,4.0 +2092,1.0,5.0 +2093,3.0,2.0 +2094,2.0,2.0 +2095,3.0,3.0 +2096,1.0,4.0 +2097,1.0,4.0 +2098,2.0,2.0 +2099,1.0,0.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/67-peak+year_c.csv b/SurgeData/67-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/67-peak+year_c.csv rename to SurgeData/67-peak+year_c.csv diff --git a/SurgeData/N=1000/67-peak+year_w.csv b/SurgeData/67-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/67-peak+year_w.csv rename to SurgeData/67-peak+year_w.csv diff --git a/SurgeData/N=1000/67-peak_c.csv b/SurgeData/67-peak_c.csv similarity index 100% rename from SurgeData/N=1000/67-peak_c.csv rename to SurgeData/67-peak_c.csv diff --git a/SurgeData/N=1000/67-peak_w.csv b/SurgeData/67-peak_w.csv similarity index 100% rename from SurgeData/N=1000/67-peak_w.csv rename to SurgeData/67-peak_w.csv diff --git a/SurgeData/N=1000/67-surge_c.csv b/SurgeData/67-surge_c.csv similarity index 100% rename from SurgeData/N=1000/67-surge_c.csv rename to SurgeData/67-surge_c.csv diff --git a/SurgeData/N=1000/67-surge_w.csv b/SurgeData/67-surge_w.csv similarity index 100% rename from SurgeData/N=1000/67-surge_w.csv rename to SurgeData/67-surge_w.csv diff --git a/SurgeData/N=1000/67-time_c.csv b/SurgeData/67-time_c.csv similarity index 100% rename from SurgeData/N=1000/67-time_c.csv rename to SurgeData/67-time_c.csv diff --git a/SurgeData/N=1000/67-time_w.csv b/SurgeData/67-time_w.csv similarity index 100% rename from SurgeData/N=1000/67-time_w.csv rename to SurgeData/67-time_w.csv diff --git a/SurgeData/N=1000/67-waterlevel_c.csv b/SurgeData/67-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/67-waterlevel_c.csv rename to SurgeData/67-waterlevel_c.csv diff --git a/SurgeData/N=1000/67-waterlevel_w.csv b/SurgeData/67-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/67-waterlevel_w.csv rename to SurgeData/67-waterlevel_w.csv diff --git a/SurgeData/670-num_storm.csv b/SurgeData/670-num_storm.csv new file mode 100644 index 00000000..ef9eeb36 --- /dev/null +++ b/SurgeData/670-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,1.0,3.0 +2022,2.0,6.0 +2023,0.0,5.0 +2024,1.0,4.0 +2025,0.0,4.0 +2026,0.0,2.0 +2027,4.0,3.0 +2028,0.0,4.0 +2029,0.0,4.0 +2030,2.0,6.0 +2031,3.0,4.0 +2032,6.0,1.0 +2033,1.0,3.0 +2034,1.0,6.0 +2035,2.0,3.0 +2036,1.0,1.0 +2037,1.0,6.0 +2038,1.0,5.0 +2039,1.0,5.0 +2040,0.0,2.0 +2041,2.0,1.0 +2042,1.0,3.0 +2043,1.0,2.0 +2044,1.0,4.0 +2045,1.0,5.0 +2046,1.0,3.0 +2047,1.0,6.0 +2048,1.0,2.0 +2049,4.0,5.0 +2050,3.0,5.0 +2051,1.0,8.0 +2052,1.0,3.0 +2053,0.0,6.0 +2054,2.0,1.0 +2055,1.0,4.0 +2056,2.0,6.0 +2057,2.0,5.0 +2058,1.0,4.0 +2059,0.0,1.0 +2060,1.0,5.0 +2061,0.0,2.0 +2062,0.0,3.0 +2063,0.0,4.0 +2064,0.0,4.0 +2065,1.0,4.0 +2066,2.0,6.0 +2067,0.0,4.0 +2068,2.0,2.0 +2069,1.0,3.0 +2070,0.0,6.0 +2071,2.0,4.0 +2072,2.0,6.0 +2073,0.0,4.0 +2074,0.0,1.0 +2075,3.0,4.0 +2076,1.0,2.0 +2077,1.0,3.0 +2078,1.0,4.0 +2079,3.0,4.0 +2080,3.0,7.0 +2081,1.0,3.0 +2082,5.0,1.0 +2083,4.0,4.0 +2084,2.0,2.0 +2085,1.0,4.0 +2086,1.0,4.0 +2087,1.0,3.0 +2088,1.0,7.0 +2089,0.0,5.0 +2090,1.0,3.0 +2091,2.0,0.0 +2092,4.0,2.0 +2093,1.0,7.0 +2094,2.0,3.0 +2095,3.0,5.0 +2096,0.0,5.0 +2097,2.0,3.0 +2098,2.0,1.0 +2099,0.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/670-peak+year_c.csv b/SurgeData/670-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/670-peak+year_c.csv rename to SurgeData/670-peak+year_c.csv diff --git a/SurgeData/N=1000/670-peak+year_w.csv b/SurgeData/670-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/670-peak+year_w.csv rename to SurgeData/670-peak+year_w.csv diff --git a/SurgeData/N=1000/670-peak_c.csv b/SurgeData/670-peak_c.csv similarity index 100% rename from SurgeData/N=1000/670-peak_c.csv rename to SurgeData/670-peak_c.csv diff --git a/SurgeData/N=1000/670-peak_w.csv b/SurgeData/670-peak_w.csv similarity index 100% rename from SurgeData/N=1000/670-peak_w.csv rename to SurgeData/670-peak_w.csv diff --git a/SurgeData/N=1000/670-surge_c.csv b/SurgeData/670-surge_c.csv similarity index 100% rename from SurgeData/N=1000/670-surge_c.csv rename to SurgeData/670-surge_c.csv diff --git a/SurgeData/N=1000/670-surge_w.csv b/SurgeData/670-surge_w.csv similarity index 100% rename from SurgeData/N=1000/670-surge_w.csv rename to SurgeData/670-surge_w.csv diff --git a/SurgeData/N=1000/670-time_c.csv b/SurgeData/670-time_c.csv similarity index 100% rename from SurgeData/N=1000/670-time_c.csv rename to SurgeData/670-time_c.csv diff --git a/SurgeData/N=1000/670-time_w.csv b/SurgeData/670-time_w.csv similarity index 100% rename from SurgeData/N=1000/670-time_w.csv rename to SurgeData/670-time_w.csv diff --git a/SurgeData/N=1000/670-waterlevel_c.csv b/SurgeData/670-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/670-waterlevel_c.csv rename to SurgeData/670-waterlevel_c.csv diff --git a/SurgeData/N=1000/670-waterlevel_w.csv b/SurgeData/670-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/670-waterlevel_w.csv rename to SurgeData/670-waterlevel_w.csv diff --git a/SurgeData/N=1000/671-peak+year_c.csv b/SurgeData/671-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/671-peak+year_c.csv rename to SurgeData/671-peak+year_c.csv diff --git a/SurgeData/N=1000/671-peak+year_w.csv b/SurgeData/671-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/671-peak+year_w.csv rename to SurgeData/671-peak+year_w.csv diff --git a/SurgeData/N=1000/671-peak_c.csv b/SurgeData/671-peak_c.csv similarity index 100% rename from SurgeData/N=1000/671-peak_c.csv rename to SurgeData/671-peak_c.csv diff --git a/SurgeData/N=1000/671-peak_w.csv b/SurgeData/671-peak_w.csv similarity index 100% rename from SurgeData/N=1000/671-peak_w.csv rename to SurgeData/671-peak_w.csv diff --git a/SurgeData/N=1000/671-surge_c.csv b/SurgeData/671-surge_c.csv similarity index 100% rename from SurgeData/N=1000/671-surge_c.csv rename to SurgeData/671-surge_c.csv diff --git a/SurgeData/N=1000/671-surge_w.csv b/SurgeData/671-surge_w.csv similarity index 100% rename from SurgeData/N=1000/671-surge_w.csv rename to SurgeData/671-surge_w.csv diff --git a/SurgeData/N=1000/671-time_c.csv b/SurgeData/671-time_c.csv similarity index 100% rename from SurgeData/N=1000/671-time_c.csv rename to SurgeData/671-time_c.csv diff --git a/SurgeData/N=1000/671-time_w.csv b/SurgeData/671-time_w.csv similarity index 100% rename from SurgeData/N=1000/671-time_w.csv rename to SurgeData/671-time_w.csv diff --git a/SurgeData/N=1000/671-waterlevel_c.csv b/SurgeData/671-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/671-waterlevel_c.csv rename to SurgeData/671-waterlevel_c.csv diff --git a/SurgeData/N=1000/671-waterlevel_w.csv b/SurgeData/671-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/671-waterlevel_w.csv rename to SurgeData/671-waterlevel_w.csv diff --git a/SurgeData/N=1000/672-peak+year_c.csv b/SurgeData/672-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/672-peak+year_c.csv rename to SurgeData/672-peak+year_c.csv diff --git a/SurgeData/N=1000/672-peak+year_w.csv b/SurgeData/672-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/672-peak+year_w.csv rename to SurgeData/672-peak+year_w.csv diff --git a/SurgeData/N=1000/672-peak_c.csv b/SurgeData/672-peak_c.csv similarity index 100% rename from SurgeData/N=1000/672-peak_c.csv rename to SurgeData/672-peak_c.csv diff --git a/SurgeData/N=1000/672-peak_w.csv b/SurgeData/672-peak_w.csv similarity index 100% rename from SurgeData/N=1000/672-peak_w.csv rename to SurgeData/672-peak_w.csv diff --git a/SurgeData/N=1000/672-surge_c.csv b/SurgeData/672-surge_c.csv similarity index 100% rename from SurgeData/N=1000/672-surge_c.csv rename to SurgeData/672-surge_c.csv diff --git a/SurgeData/N=1000/672-surge_w.csv b/SurgeData/672-surge_w.csv similarity index 100% rename from SurgeData/N=1000/672-surge_w.csv rename to SurgeData/672-surge_w.csv diff --git a/SurgeData/N=1000/672-time_c.csv b/SurgeData/672-time_c.csv similarity index 100% rename from SurgeData/N=1000/672-time_c.csv rename to SurgeData/672-time_c.csv diff --git a/SurgeData/N=1000/672-time_w.csv b/SurgeData/672-time_w.csv similarity index 100% rename from SurgeData/N=1000/672-time_w.csv rename to SurgeData/672-time_w.csv diff --git a/SurgeData/N=1000/672-waterlevel_c.csv b/SurgeData/672-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/672-waterlevel_c.csv rename to SurgeData/672-waterlevel_c.csv diff --git a/SurgeData/N=1000/672-waterlevel_w.csv b/SurgeData/672-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/672-waterlevel_w.csv rename to SurgeData/672-waterlevel_w.csv diff --git a/SurgeData/673-num_storm.csv b/SurgeData/673-num_storm.csv new file mode 100644 index 00000000..49a40494 --- /dev/null +++ b/SurgeData/673-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,3.0 +2022,0.0,5.0 +2023,0.0,4.0 +2024,0.0,3.0 +2025,1.0,1.0 +2026,0.0,5.0 +2027,4.0,4.0 +2028,4.0,4.0 +2029,3.0,2.0 +2030,0.0,3.0 +2031,1.0,5.0 +2032,1.0,4.0 +2033,0.0,7.0 +2034,0.0,2.0 +2035,0.0,2.0 +2036,1.0,5.0 +2037,0.0,1.0 +2038,3.0,3.0 +2039,6.0,4.0 +2040,2.0,1.0 +2041,0.0,4.0 +2042,2.0,1.0 +2043,1.0,3.0 +2044,3.0,1.0 +2045,1.0,6.0 +2046,3.0,2.0 +2047,0.0,9.0 +2048,4.0,4.0 +2049,2.0,5.0 +2050,2.0,6.0 +2051,0.0,1.0 +2052,1.0,6.0 +2053,3.0,5.0 +2054,2.0,3.0 +2055,1.0,4.0 +2056,2.0,5.0 +2057,2.0,6.0 +2058,0.0,2.0 +2059,0.0,1.0 +2060,2.0,2.0 +2061,4.0,6.0 +2062,3.0,2.0 +2063,0.0,2.0 +2064,1.0,0.0 +2065,2.0,3.0 +2066,1.0,7.0 +2067,3.0,3.0 +2068,3.0,6.0 +2069,1.0,3.0 +2070,0.0,3.0 +2071,3.0,3.0 +2072,3.0,3.0 +2073,1.0,5.0 +2074,0.0,2.0 +2075,1.0,5.0 +2076,1.0,4.0 +2077,3.0,3.0 +2078,4.0,5.0 +2079,1.0,5.0 +2080,0.0,3.0 +2081,0.0,4.0 +2082,1.0,4.0 +2083,1.0,7.0 +2084,2.0,2.0 +2085,1.0,4.0 +2086,3.0,2.0 +2087,2.0,2.0 +2088,0.0,2.0 +2089,0.0,4.0 +2090,0.0,7.0 +2091,1.0,2.0 +2092,0.0,5.0 +2093,0.0,3.0 +2094,1.0,5.0 +2095,1.0,3.0 +2096,2.0,5.0 +2097,2.0,5.0 +2098,1.0,3.0 +2099,4.0,5.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/673-peak+year_c.csv b/SurgeData/673-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/673-peak+year_c.csv rename to SurgeData/673-peak+year_c.csv diff --git a/SurgeData/N=1000/673-peak+year_w.csv b/SurgeData/673-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/673-peak+year_w.csv rename to SurgeData/673-peak+year_w.csv diff --git a/SurgeData/N=1000/673-peak_c.csv b/SurgeData/673-peak_c.csv similarity index 100% rename from SurgeData/N=1000/673-peak_c.csv rename to SurgeData/673-peak_c.csv diff --git a/SurgeData/N=1000/673-peak_w.csv b/SurgeData/673-peak_w.csv similarity index 100% rename from SurgeData/N=1000/673-peak_w.csv rename to SurgeData/673-peak_w.csv diff --git a/SurgeData/N=1000/673-surge_c.csv b/SurgeData/673-surge_c.csv similarity index 100% rename from SurgeData/N=1000/673-surge_c.csv rename to SurgeData/673-surge_c.csv diff --git a/SurgeData/N=1000/673-surge_w.csv b/SurgeData/673-surge_w.csv similarity index 100% rename from SurgeData/N=1000/673-surge_w.csv rename to SurgeData/673-surge_w.csv diff --git a/SurgeData/N=1000/673-time_c.csv b/SurgeData/673-time_c.csv similarity index 100% rename from SurgeData/N=1000/673-time_c.csv rename to SurgeData/673-time_c.csv diff --git a/SurgeData/N=1000/673-time_w.csv b/SurgeData/673-time_w.csv similarity index 100% rename from SurgeData/N=1000/673-time_w.csv rename to SurgeData/673-time_w.csv diff --git a/SurgeData/N=1000/673-waterlevel_c.csv b/SurgeData/673-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/673-waterlevel_c.csv rename to SurgeData/673-waterlevel_c.csv diff --git a/SurgeData/N=1000/673-waterlevel_w.csv b/SurgeData/673-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/673-waterlevel_w.csv rename to SurgeData/673-waterlevel_w.csv diff --git a/SurgeData/674-num_storm.csv b/SurgeData/674-num_storm.csv new file mode 100644 index 00000000..80814998 --- /dev/null +++ b/SurgeData/674-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,4.0 +2022,1.0,7.0 +2023,2.0,5.0 +2024,1.0,5.0 +2025,0.0,2.0 +2026,0.0,2.0 +2027,2.0,5.0 +2028,3.0,6.0 +2029,0.0,5.0 +2030,2.0,4.0 +2031,1.0,7.0 +2032,4.0,10.0 +2033,2.0,6.0 +2034,3.0,6.0 +2035,2.0,3.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,0.0,6.0 +2039,1.0,1.0 +2040,2.0,3.0 +2041,5.0,6.0 +2042,2.0,2.0 +2043,3.0,8.0 +2044,2.0,3.0 +2045,0.0,4.0 +2046,2.0,6.0 +2047,1.0,3.0 +2048,1.0,6.0 +2049,0.0,4.0 +2050,0.0,4.0 +2051,3.0,4.0 +2052,1.0,2.0 +2053,2.0,5.0 +2054,1.0,1.0 +2055,3.0,2.0 +2056,2.0,12.0 +2057,4.0,3.0 +2058,3.0,3.0 +2059,1.0,3.0 +2060,1.0,6.0 +2061,0.0,1.0 +2062,2.0,5.0 +2063,3.0,7.0 +2064,3.0,6.0 +2065,1.0,5.0 +2066,1.0,5.0 +2067,0.0,4.0 +2068,1.0,5.0 +2069,3.0,2.0 +2070,2.0,3.0 +2071,1.0,4.0 +2072,1.0,6.0 +2073,0.0,3.0 +2074,2.0,3.0 +2075,1.0,3.0 +2076,2.0,4.0 +2077,1.0,3.0 +2078,2.0,4.0 +2079,1.0,3.0 +2080,2.0,6.0 +2081,1.0,5.0 +2082,3.0,4.0 +2083,2.0,4.0 +2084,0.0,4.0 +2085,2.0,2.0 +2086,1.0,5.0 +2087,3.0,4.0 +2088,1.0,1.0 +2089,2.0,2.0 +2090,1.0,4.0 +2091,2.0,4.0 +2092,3.0,7.0 +2093,3.0,3.0 +2094,1.0,9.0 +2095,0.0,7.0 +2096,3.0,2.0 +2097,2.0,4.0 +2098,2.0,1.0 +2099,1.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/674-peak+year_c.csv b/SurgeData/674-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/674-peak+year_c.csv rename to SurgeData/674-peak+year_c.csv diff --git a/SurgeData/N=1000/674-peak+year_w.csv b/SurgeData/674-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/674-peak+year_w.csv rename to SurgeData/674-peak+year_w.csv diff --git a/SurgeData/N=1000/674-peak_c.csv b/SurgeData/674-peak_c.csv similarity index 100% rename from SurgeData/N=1000/674-peak_c.csv rename to SurgeData/674-peak_c.csv diff --git a/SurgeData/N=1000/674-peak_w.csv b/SurgeData/674-peak_w.csv similarity index 100% rename from SurgeData/N=1000/674-peak_w.csv rename to SurgeData/674-peak_w.csv diff --git a/SurgeData/N=1000/674-surge_c.csv b/SurgeData/674-surge_c.csv similarity index 100% rename from SurgeData/N=1000/674-surge_c.csv rename to SurgeData/674-surge_c.csv diff --git a/SurgeData/N=1000/674-surge_w.csv b/SurgeData/674-surge_w.csv similarity index 100% rename from SurgeData/N=1000/674-surge_w.csv rename to SurgeData/674-surge_w.csv diff --git a/SurgeData/N=1000/674-time_c.csv b/SurgeData/674-time_c.csv similarity index 100% rename from SurgeData/N=1000/674-time_c.csv rename to SurgeData/674-time_c.csv diff --git a/SurgeData/N=1000/674-time_w.csv b/SurgeData/674-time_w.csv similarity index 100% rename from SurgeData/N=1000/674-time_w.csv rename to SurgeData/674-time_w.csv diff --git a/SurgeData/N=1000/674-waterlevel_c.csv b/SurgeData/674-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/674-waterlevel_c.csv rename to SurgeData/674-waterlevel_c.csv diff --git a/SurgeData/N=1000/674-waterlevel_w.csv b/SurgeData/674-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/674-waterlevel_w.csv rename to SurgeData/674-waterlevel_w.csv diff --git a/SurgeData/675-num_storm.csv b/SurgeData/675-num_storm.csv new file mode 100644 index 00000000..e77695e0 --- /dev/null +++ b/SurgeData/675-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,4.0 +2022,4.0,2.0 +2023,2.0,6.0 +2024,1.0,8.0 +2025,0.0,2.0 +2026,1.0,3.0 +2027,0.0,2.0 +2028,0.0,6.0 +2029,1.0,4.0 +2030,4.0,3.0 +2031,1.0,9.0 +2032,1.0,1.0 +2033,1.0,6.0 +2034,3.0,2.0 +2035,2.0,4.0 +2036,2.0,4.0 +2037,2.0,6.0 +2038,2.0,9.0 +2039,4.0,3.0 +2040,2.0,5.0 +2041,4.0,5.0 +2042,2.0,6.0 +2043,1.0,0.0 +2044,1.0,4.0 +2045,1.0,3.0 +2046,0.0,2.0 +2047,0.0,5.0 +2048,0.0,1.0 +2049,2.0,2.0 +2050,0.0,9.0 +2051,2.0,5.0 +2052,5.0,6.0 +2053,2.0,4.0 +2054,4.0,5.0 +2055,2.0,0.0 +2056,2.0,5.0 +2057,4.0,7.0 +2058,3.0,3.0 +2059,1.0,0.0 +2060,0.0,9.0 +2061,3.0,5.0 +2062,1.0,3.0 +2063,1.0,3.0 +2064,1.0,1.0 +2065,2.0,4.0 +2066,0.0,5.0 +2067,2.0,3.0 +2068,3.0,4.0 +2069,1.0,7.0 +2070,1.0,3.0 +2071,0.0,5.0 +2072,1.0,7.0 +2073,1.0,9.0 +2074,3.0,5.0 +2075,2.0,5.0 +2076,1.0,3.0 +2077,5.0,10.0 +2078,3.0,3.0 +2079,2.0,4.0 +2080,1.0,10.0 +2081,2.0,3.0 +2082,1.0,3.0 +2083,3.0,5.0 +2084,0.0,4.0 +2085,2.0,3.0 +2086,2.0,6.0 +2087,3.0,1.0 +2088,2.0,3.0 +2089,5.0,6.0 +2090,0.0,5.0 +2091,3.0,5.0 +2092,2.0,3.0 +2093,4.0,4.0 +2094,2.0,5.0 +2095,0.0,7.0 +2096,2.0,2.0 +2097,2.0,3.0 +2098,0.0,4.0 +2099,0.0,3.0 +2100,3.0,0.0 diff --git a/SurgeData/N=1000/675-peak+year_c.csv b/SurgeData/675-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/675-peak+year_c.csv rename to SurgeData/675-peak+year_c.csv diff --git a/SurgeData/N=1000/675-peak+year_w.csv b/SurgeData/675-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/675-peak+year_w.csv rename to SurgeData/675-peak+year_w.csv diff --git a/SurgeData/N=1000/675-peak_c.csv b/SurgeData/675-peak_c.csv similarity index 100% rename from SurgeData/N=1000/675-peak_c.csv rename to SurgeData/675-peak_c.csv diff --git a/SurgeData/N=1000/675-peak_w.csv b/SurgeData/675-peak_w.csv similarity index 100% rename from SurgeData/N=1000/675-peak_w.csv rename to SurgeData/675-peak_w.csv diff --git a/SurgeData/N=1000/675-surge_c.csv b/SurgeData/675-surge_c.csv similarity index 100% rename from SurgeData/N=1000/675-surge_c.csv rename to SurgeData/675-surge_c.csv diff --git a/SurgeData/N=1000/675-surge_w.csv b/SurgeData/675-surge_w.csv similarity index 100% rename from SurgeData/N=1000/675-surge_w.csv rename to SurgeData/675-surge_w.csv diff --git a/SurgeData/N=1000/675-time_c.csv b/SurgeData/675-time_c.csv similarity index 100% rename from SurgeData/N=1000/675-time_c.csv rename to SurgeData/675-time_c.csv diff --git a/SurgeData/N=1000/675-time_w.csv b/SurgeData/675-time_w.csv similarity index 100% rename from SurgeData/N=1000/675-time_w.csv rename to SurgeData/675-time_w.csv diff --git a/SurgeData/N=1000/675-waterlevel_c.csv b/SurgeData/675-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/675-waterlevel_c.csv rename to SurgeData/675-waterlevel_c.csv diff --git a/SurgeData/N=1000/675-waterlevel_w.csv b/SurgeData/675-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/675-waterlevel_w.csv rename to SurgeData/675-waterlevel_w.csv diff --git a/SurgeData/676-num_storm.csv b/SurgeData/676-num_storm.csv new file mode 100644 index 00000000..1200e975 --- /dev/null +++ b/SurgeData/676-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,3.0,2.0 +2022,1.0,6.0 +2023,2.0,5.0 +2024,0.0,3.0 +2025,2.0,4.0 +2026,2.0,4.0 +2027,1.0,1.0 +2028,1.0,3.0 +2029,4.0,1.0 +2030,1.0,7.0 +2031,0.0,8.0 +2032,1.0,5.0 +2033,3.0,5.0 +2034,0.0,2.0 +2035,1.0,2.0 +2036,1.0,1.0 +2037,1.0,1.0 +2038,1.0,3.0 +2039,1.0,4.0 +2040,2.0,3.0 +2041,0.0,3.0 +2042,1.0,3.0 +2043,1.0,3.0 +2044,2.0,5.0 +2045,0.0,2.0 +2046,0.0,3.0 +2047,3.0,9.0 +2048,1.0,4.0 +2049,3.0,3.0 +2050,1.0,6.0 +2051,0.0,3.0 +2052,3.0,6.0 +2053,0.0,3.0 +2054,2.0,2.0 +2055,4.0,3.0 +2056,1.0,3.0 +2057,0.0,6.0 +2058,3.0,5.0 +2059,2.0,2.0 +2060,1.0,1.0 +2061,0.0,6.0 +2062,0.0,2.0 +2063,0.0,3.0 +2064,2.0,4.0 +2065,3.0,6.0 +2066,3.0,12.0 +2067,0.0,2.0 +2068,3.0,6.0 +2069,3.0,1.0 +2070,2.0,4.0 +2071,1.0,1.0 +2072,0.0,0.0 +2073,3.0,6.0 +2074,2.0,3.0 +2075,1.0,1.0 +2076,2.0,5.0 +2077,1.0,3.0 +2078,2.0,3.0 +2079,1.0,4.0 +2080,2.0,9.0 +2081,0.0,5.0 +2082,1.0,4.0 +2083,2.0,6.0 +2084,0.0,3.0 +2085,0.0,5.0 +2086,4.0,4.0 +2087,0.0,3.0 +2088,0.0,5.0 +2089,0.0,2.0 +2090,0.0,3.0 +2091,1.0,3.0 +2092,1.0,6.0 +2093,2.0,6.0 +2094,1.0,8.0 +2095,2.0,3.0 +2096,2.0,3.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,0.0,5.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/676-peak+year_c.csv b/SurgeData/676-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/676-peak+year_c.csv rename to SurgeData/676-peak+year_c.csv diff --git a/SurgeData/N=1000/676-peak+year_w.csv b/SurgeData/676-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/676-peak+year_w.csv rename to SurgeData/676-peak+year_w.csv diff --git a/SurgeData/N=1000/676-peak_c.csv b/SurgeData/676-peak_c.csv similarity index 100% rename from SurgeData/N=1000/676-peak_c.csv rename to SurgeData/676-peak_c.csv diff --git a/SurgeData/N=1000/676-peak_w.csv b/SurgeData/676-peak_w.csv similarity index 100% rename from SurgeData/N=1000/676-peak_w.csv rename to SurgeData/676-peak_w.csv diff --git a/SurgeData/N=1000/676-surge_c.csv b/SurgeData/676-surge_c.csv similarity index 100% rename from SurgeData/N=1000/676-surge_c.csv rename to SurgeData/676-surge_c.csv diff --git a/SurgeData/N=1000/676-surge_w.csv b/SurgeData/676-surge_w.csv similarity index 100% rename from SurgeData/N=1000/676-surge_w.csv rename to SurgeData/676-surge_w.csv diff --git a/SurgeData/N=1000/676-time_c.csv b/SurgeData/676-time_c.csv similarity index 100% rename from SurgeData/N=1000/676-time_c.csv rename to SurgeData/676-time_c.csv diff --git a/SurgeData/N=1000/676-time_w.csv b/SurgeData/676-time_w.csv similarity index 100% rename from SurgeData/N=1000/676-time_w.csv rename to SurgeData/676-time_w.csv diff --git a/SurgeData/N=1000/676-waterlevel_c.csv b/SurgeData/676-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/676-waterlevel_c.csv rename to SurgeData/676-waterlevel_c.csv diff --git a/SurgeData/N=1000/676-waterlevel_w.csv b/SurgeData/676-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/676-waterlevel_w.csv rename to SurgeData/676-waterlevel_w.csv diff --git a/SurgeData/N=1000/677-peak+year_c.csv b/SurgeData/677-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/677-peak+year_c.csv rename to SurgeData/677-peak+year_c.csv diff --git a/SurgeData/N=1000/677-peak+year_w.csv b/SurgeData/677-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/677-peak+year_w.csv rename to SurgeData/677-peak+year_w.csv diff --git a/SurgeData/N=1000/677-peak_c.csv b/SurgeData/677-peak_c.csv similarity index 100% rename from SurgeData/N=1000/677-peak_c.csv rename to SurgeData/677-peak_c.csv diff --git a/SurgeData/N=1000/677-peak_w.csv b/SurgeData/677-peak_w.csv similarity index 100% rename from SurgeData/N=1000/677-peak_w.csv rename to SurgeData/677-peak_w.csv diff --git a/SurgeData/N=1000/677-surge_c.csv b/SurgeData/677-surge_c.csv similarity index 100% rename from SurgeData/N=1000/677-surge_c.csv rename to SurgeData/677-surge_c.csv diff --git a/SurgeData/N=1000/677-surge_w.csv b/SurgeData/677-surge_w.csv similarity index 100% rename from SurgeData/N=1000/677-surge_w.csv rename to SurgeData/677-surge_w.csv diff --git a/SurgeData/N=1000/677-time_c.csv b/SurgeData/677-time_c.csv similarity index 100% rename from SurgeData/N=1000/677-time_c.csv rename to SurgeData/677-time_c.csv diff --git a/SurgeData/N=1000/677-time_w.csv b/SurgeData/677-time_w.csv similarity index 100% rename from SurgeData/N=1000/677-time_w.csv rename to SurgeData/677-time_w.csv diff --git a/SurgeData/N=1000/677-waterlevel_c.csv b/SurgeData/677-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/677-waterlevel_c.csv rename to SurgeData/677-waterlevel_c.csv diff --git a/SurgeData/N=1000/677-waterlevel_w.csv b/SurgeData/677-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/677-waterlevel_w.csv rename to SurgeData/677-waterlevel_w.csv diff --git a/SurgeData/678-num_storm.csv b/SurgeData/678-num_storm.csv new file mode 100644 index 00000000..3ebb90e1 --- /dev/null +++ b/SurgeData/678-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,4.0 +2022,4.0,3.0 +2023,1.0,1.0 +2024,3.0,3.0 +2025,0.0,1.0 +2026,2.0,4.0 +2027,1.0,0.0 +2028,1.0,7.0 +2029,3.0,4.0 +2030,4.0,4.0 +2031,2.0,6.0 +2032,4.0,9.0 +2033,1.0,2.0 +2034,4.0,6.0 +2035,3.0,2.0 +2036,0.0,2.0 +2037,0.0,7.0 +2038,0.0,2.0 +2039,2.0,4.0 +2040,0.0,1.0 +2041,4.0,7.0 +2042,1.0,7.0 +2043,1.0,5.0 +2044,2.0,5.0 +2045,2.0,4.0 +2046,0.0,4.0 +2047,1.0,7.0 +2048,0.0,5.0 +2049,4.0,3.0 +2050,1.0,2.0 +2051,3.0,1.0 +2052,0.0,7.0 +2053,1.0,4.0 +2054,0.0,3.0 +2055,1.0,3.0 +2056,2.0,5.0 +2057,2.0,3.0 +2058,2.0,3.0 +2059,0.0,6.0 +2060,3.0,5.0 +2061,2.0,7.0 +2062,2.0,3.0 +2063,3.0,5.0 +2064,3.0,5.0 +2065,4.0,4.0 +2066,1.0,2.0 +2067,3.0,7.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,3.0,5.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,2.0,7.0 +2074,1.0,4.0 +2075,0.0,2.0 +2076,4.0,2.0 +2077,1.0,3.0 +2078,1.0,3.0 +2079,1.0,5.0 +2080,1.0,1.0 +2081,2.0,3.0 +2082,1.0,4.0 +2083,0.0,3.0 +2084,4.0,6.0 +2085,1.0,5.0 +2086,1.0,8.0 +2087,0.0,5.0 +2088,0.0,1.0 +2089,1.0,5.0 +2090,1.0,3.0 +2091,1.0,3.0 +2092,0.0,4.0 +2093,1.0,3.0 +2094,0.0,3.0 +2095,2.0,2.0 +2096,2.0,7.0 +2097,0.0,6.0 +2098,1.0,8.0 +2099,3.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/678-peak+year_c.csv b/SurgeData/678-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/678-peak+year_c.csv rename to SurgeData/678-peak+year_c.csv diff --git a/SurgeData/N=1000/678-peak+year_w.csv b/SurgeData/678-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/678-peak+year_w.csv rename to SurgeData/678-peak+year_w.csv diff --git a/SurgeData/N=1000/678-peak_c.csv b/SurgeData/678-peak_c.csv similarity index 100% rename from SurgeData/N=1000/678-peak_c.csv rename to SurgeData/678-peak_c.csv diff --git a/SurgeData/N=1000/678-peak_w.csv b/SurgeData/678-peak_w.csv similarity index 100% rename from SurgeData/N=1000/678-peak_w.csv rename to SurgeData/678-peak_w.csv diff --git a/SurgeData/N=1000/678-surge_c.csv b/SurgeData/678-surge_c.csv similarity index 100% rename from SurgeData/N=1000/678-surge_c.csv rename to SurgeData/678-surge_c.csv diff --git a/SurgeData/N=1000/678-surge_w.csv b/SurgeData/678-surge_w.csv similarity index 100% rename from SurgeData/N=1000/678-surge_w.csv rename to SurgeData/678-surge_w.csv diff --git a/SurgeData/N=1000/678-time_c.csv b/SurgeData/678-time_c.csv similarity index 100% rename from SurgeData/N=1000/678-time_c.csv rename to SurgeData/678-time_c.csv diff --git a/SurgeData/N=1000/678-time_w.csv b/SurgeData/678-time_w.csv similarity index 100% rename from SurgeData/N=1000/678-time_w.csv rename to SurgeData/678-time_w.csv diff --git a/SurgeData/N=1000/678-waterlevel_c.csv b/SurgeData/678-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/678-waterlevel_c.csv rename to SurgeData/678-waterlevel_c.csv diff --git a/SurgeData/N=1000/678-waterlevel_w.csv b/SurgeData/678-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/678-waterlevel_w.csv rename to SurgeData/678-waterlevel_w.csv diff --git a/SurgeData/N=1000/679-peak+year_c.csv b/SurgeData/679-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/679-peak+year_c.csv rename to SurgeData/679-peak+year_c.csv diff --git a/SurgeData/N=1000/679-peak+year_w.csv b/SurgeData/679-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/679-peak+year_w.csv rename to SurgeData/679-peak+year_w.csv diff --git a/SurgeData/N=1000/679-peak_c.csv b/SurgeData/679-peak_c.csv similarity index 100% rename from SurgeData/N=1000/679-peak_c.csv rename to SurgeData/679-peak_c.csv diff --git a/SurgeData/N=1000/679-peak_w.csv b/SurgeData/679-peak_w.csv similarity index 100% rename from SurgeData/N=1000/679-peak_w.csv rename to SurgeData/679-peak_w.csv diff --git a/SurgeData/N=1000/679-surge_c.csv b/SurgeData/679-surge_c.csv similarity index 100% rename from SurgeData/N=1000/679-surge_c.csv rename to SurgeData/679-surge_c.csv diff --git a/SurgeData/N=1000/679-surge_w.csv b/SurgeData/679-surge_w.csv similarity index 100% rename from SurgeData/N=1000/679-surge_w.csv rename to SurgeData/679-surge_w.csv diff --git a/SurgeData/N=1000/679-time_c.csv b/SurgeData/679-time_c.csv similarity index 100% rename from SurgeData/N=1000/679-time_c.csv rename to SurgeData/679-time_c.csv diff --git a/SurgeData/N=1000/679-time_w.csv b/SurgeData/679-time_w.csv similarity index 100% rename from SurgeData/N=1000/679-time_w.csv rename to SurgeData/679-time_w.csv diff --git a/SurgeData/N=1000/679-waterlevel_c.csv b/SurgeData/679-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/679-waterlevel_c.csv rename to SurgeData/679-waterlevel_c.csv diff --git a/SurgeData/N=1000/679-waterlevel_w.csv b/SurgeData/679-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/679-waterlevel_w.csv rename to SurgeData/679-waterlevel_w.csv diff --git a/SurgeData/N=1000/68-peak+year_c.csv b/SurgeData/68-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/68-peak+year_c.csv rename to SurgeData/68-peak+year_c.csv diff --git a/SurgeData/N=1000/68-peak+year_w.csv b/SurgeData/68-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/68-peak+year_w.csv rename to SurgeData/68-peak+year_w.csv diff --git a/SurgeData/N=1000/68-peak_c.csv b/SurgeData/68-peak_c.csv similarity index 100% rename from SurgeData/N=1000/68-peak_c.csv rename to SurgeData/68-peak_c.csv diff --git a/SurgeData/N=1000/68-peak_w.csv b/SurgeData/68-peak_w.csv similarity index 100% rename from SurgeData/N=1000/68-peak_w.csv rename to SurgeData/68-peak_w.csv diff --git a/SurgeData/N=1000/68-surge_c.csv b/SurgeData/68-surge_c.csv similarity index 100% rename from SurgeData/N=1000/68-surge_c.csv rename to SurgeData/68-surge_c.csv diff --git a/SurgeData/N=1000/68-surge_w.csv b/SurgeData/68-surge_w.csv similarity index 100% rename from SurgeData/N=1000/68-surge_w.csv rename to SurgeData/68-surge_w.csv diff --git a/SurgeData/N=1000/68-time_c.csv b/SurgeData/68-time_c.csv similarity index 100% rename from SurgeData/N=1000/68-time_c.csv rename to SurgeData/68-time_c.csv diff --git a/SurgeData/N=1000/68-time_w.csv b/SurgeData/68-time_w.csv similarity index 100% rename from SurgeData/N=1000/68-time_w.csv rename to SurgeData/68-time_w.csv diff --git a/SurgeData/N=1000/68-waterlevel_c.csv b/SurgeData/68-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/68-waterlevel_c.csv rename to SurgeData/68-waterlevel_c.csv diff --git a/SurgeData/N=1000/68-waterlevel_w.csv b/SurgeData/68-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/68-waterlevel_w.csv rename to SurgeData/68-waterlevel_w.csv diff --git a/SurgeData/680-num_storm.csv b/SurgeData/680-num_storm.csv new file mode 100644 index 00000000..f88419ab --- /dev/null +++ b/SurgeData/680-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,3.0 +2022,0.0,4.0 +2023,0.0,5.0 +2024,1.0,5.0 +2025,1.0,3.0 +2026,2.0,7.0 +2027,0.0,3.0 +2028,1.0,3.0 +2029,0.0,3.0 +2030,4.0,4.0 +2031,4.0,6.0 +2032,1.0,3.0 +2033,4.0,2.0 +2034,2.0,4.0 +2035,0.0,0.0 +2036,3.0,3.0 +2037,3.0,3.0 +2038,3.0,7.0 +2039,1.0,6.0 +2040,1.0,5.0 +2041,0.0,3.0 +2042,1.0,2.0 +2043,2.0,4.0 +2044,1.0,3.0 +2045,5.0,4.0 +2046,2.0,2.0 +2047,0.0,7.0 +2048,2.0,2.0 +2049,1.0,8.0 +2050,2.0,2.0 +2051,4.0,8.0 +2052,2.0,3.0 +2053,0.0,4.0 +2054,1.0,4.0 +2055,1.0,5.0 +2056,2.0,3.0 +2057,1.0,5.0 +2058,1.0,3.0 +2059,3.0,2.0 +2060,0.0,7.0 +2061,2.0,0.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,1.0,4.0 +2065,3.0,4.0 +2066,0.0,3.0 +2067,3.0,3.0 +2068,1.0,5.0 +2069,0.0,6.0 +2070,0.0,2.0 +2071,0.0,5.0 +2072,3.0,7.0 +2073,1.0,1.0 +2074,0.0,2.0 +2075,3.0,5.0 +2076,0.0,4.0 +2077,3.0,5.0 +2078,1.0,5.0 +2079,4.0,4.0 +2080,0.0,7.0 +2081,2.0,2.0 +2082,2.0,3.0 +2083,1.0,8.0 +2084,1.0,5.0 +2085,1.0,4.0 +2086,1.0,5.0 +2087,4.0,3.0 +2088,3.0,3.0 +2089,1.0,6.0 +2090,0.0,6.0 +2091,1.0,4.0 +2092,2.0,3.0 +2093,0.0,3.0 +2094,1.0,8.0 +2095,5.0,1.0 +2096,2.0,5.0 +2097,3.0,3.0 +2098,2.0,5.0 +2099,0.0,5.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/680-peak+year_c.csv b/SurgeData/680-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/680-peak+year_c.csv rename to SurgeData/680-peak+year_c.csv diff --git a/SurgeData/N=1000/680-peak+year_w.csv b/SurgeData/680-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/680-peak+year_w.csv rename to SurgeData/680-peak+year_w.csv diff --git a/SurgeData/N=1000/680-peak_c.csv b/SurgeData/680-peak_c.csv similarity index 100% rename from SurgeData/N=1000/680-peak_c.csv rename to SurgeData/680-peak_c.csv diff --git a/SurgeData/N=1000/680-peak_w.csv b/SurgeData/680-peak_w.csv similarity index 100% rename from SurgeData/N=1000/680-peak_w.csv rename to SurgeData/680-peak_w.csv diff --git a/SurgeData/N=1000/680-surge_c.csv b/SurgeData/680-surge_c.csv similarity index 100% rename from SurgeData/N=1000/680-surge_c.csv rename to SurgeData/680-surge_c.csv diff --git a/SurgeData/N=1000/680-surge_w.csv b/SurgeData/680-surge_w.csv similarity index 100% rename from SurgeData/N=1000/680-surge_w.csv rename to SurgeData/680-surge_w.csv diff --git a/SurgeData/N=1000/680-time_c.csv b/SurgeData/680-time_c.csv similarity index 100% rename from SurgeData/N=1000/680-time_c.csv rename to SurgeData/680-time_c.csv diff --git a/SurgeData/N=1000/680-time_w.csv b/SurgeData/680-time_w.csv similarity index 100% rename from SurgeData/N=1000/680-time_w.csv rename to SurgeData/680-time_w.csv diff --git a/SurgeData/N=1000/680-waterlevel_c.csv b/SurgeData/680-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/680-waterlevel_c.csv rename to SurgeData/680-waterlevel_c.csv diff --git a/SurgeData/N=1000/680-waterlevel_w.csv b/SurgeData/680-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/680-waterlevel_w.csv rename to SurgeData/680-waterlevel_w.csv diff --git a/SurgeData/681-num_storm.csv b/SurgeData/681-num_storm.csv new file mode 100644 index 00000000..bae9c900 --- /dev/null +++ b/SurgeData/681-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,8.0 +2022,1.0,2.0 +2023,2.0,4.0 +2024,1.0,6.0 +2025,2.0,4.0 +2026,3.0,2.0 +2027,1.0,6.0 +2028,3.0,5.0 +2029,1.0,5.0 +2030,0.0,3.0 +2031,1.0,2.0 +2032,1.0,6.0 +2033,3.0,9.0 +2034,2.0,6.0 +2035,3.0,2.0 +2036,0.0,8.0 +2037,3.0,3.0 +2038,1.0,8.0 +2039,1.0,1.0 +2040,1.0,3.0 +2041,2.0,2.0 +2042,3.0,5.0 +2043,2.0,4.0 +2044,0.0,8.0 +2045,0.0,4.0 +2046,2.0,5.0 +2047,3.0,2.0 +2048,2.0,2.0 +2049,0.0,8.0 +2050,1.0,6.0 +2051,1.0,2.0 +2052,2.0,4.0 +2053,1.0,6.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,1.0,5.0 +2057,3.0,4.0 +2058,0.0,3.0 +2059,0.0,4.0 +2060,2.0,4.0 +2061,2.0,9.0 +2062,0.0,4.0 +2063,1.0,4.0 +2064,2.0,7.0 +2065,2.0,4.0 +2066,2.0,3.0 +2067,0.0,4.0 +2068,3.0,5.0 +2069,1.0,4.0 +2070,1.0,1.0 +2071,3.0,3.0 +2072,2.0,3.0 +2073,2.0,3.0 +2074,3.0,5.0 +2075,4.0,1.0 +2076,4.0,0.0 +2077,3.0,3.0 +2078,1.0,7.0 +2079,3.0,6.0 +2080,0.0,6.0 +2081,0.0,6.0 +2082,0.0,3.0 +2083,1.0,5.0 +2084,2.0,3.0 +2085,0.0,7.0 +2086,0.0,10.0 +2087,0.0,3.0 +2088,3.0,6.0 +2089,4.0,6.0 +2090,0.0,5.0 +2091,1.0,3.0 +2092,2.0,2.0 +2093,0.0,3.0 +2094,1.0,6.0 +2095,1.0,3.0 +2096,0.0,4.0 +2097,1.0,4.0 +2098,3.0,6.0 +2099,2.0,4.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/681-peak+year_c.csv b/SurgeData/681-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/681-peak+year_c.csv rename to SurgeData/681-peak+year_c.csv diff --git a/SurgeData/N=1000/681-peak+year_w.csv b/SurgeData/681-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/681-peak+year_w.csv rename to SurgeData/681-peak+year_w.csv diff --git a/SurgeData/N=1000/681-peak_c.csv b/SurgeData/681-peak_c.csv similarity index 100% rename from SurgeData/N=1000/681-peak_c.csv rename to SurgeData/681-peak_c.csv diff --git a/SurgeData/N=1000/681-peak_w.csv b/SurgeData/681-peak_w.csv similarity index 100% rename from SurgeData/N=1000/681-peak_w.csv rename to SurgeData/681-peak_w.csv diff --git a/SurgeData/N=1000/681-surge_c.csv b/SurgeData/681-surge_c.csv similarity index 100% rename from SurgeData/N=1000/681-surge_c.csv rename to SurgeData/681-surge_c.csv diff --git a/SurgeData/N=1000/681-surge_w.csv b/SurgeData/681-surge_w.csv similarity index 100% rename from SurgeData/N=1000/681-surge_w.csv rename to SurgeData/681-surge_w.csv diff --git a/SurgeData/N=1000/681-time_c.csv b/SurgeData/681-time_c.csv similarity index 100% rename from SurgeData/N=1000/681-time_c.csv rename to SurgeData/681-time_c.csv diff --git a/SurgeData/N=1000/681-time_w.csv b/SurgeData/681-time_w.csv similarity index 100% rename from SurgeData/N=1000/681-time_w.csv rename to SurgeData/681-time_w.csv diff --git a/SurgeData/N=1000/681-waterlevel_c.csv b/SurgeData/681-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/681-waterlevel_c.csv rename to SurgeData/681-waterlevel_c.csv diff --git a/SurgeData/N=1000/681-waterlevel_w.csv b/SurgeData/681-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/681-waterlevel_w.csv rename to SurgeData/681-waterlevel_w.csv diff --git a/SurgeData/682-num_storm.csv b/SurgeData/682-num_storm.csv new file mode 100644 index 00000000..0cbf7fd2 --- /dev/null +++ b/SurgeData/682-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,5.0,1.0 +2022,1.0,6.0 +2023,0.0,10.0 +2024,4.0,4.0 +2025,3.0,3.0 +2026,1.0,0.0 +2027,2.0,3.0 +2028,1.0,2.0 +2029,1.0,4.0 +2030,0.0,5.0 +2031,4.0,5.0 +2032,5.0,4.0 +2033,1.0,10.0 +2034,5.0,4.0 +2035,3.0,1.0 +2036,1.0,6.0 +2037,1.0,3.0 +2038,2.0,4.0 +2039,4.0,3.0 +2040,2.0,3.0 +2041,2.0,2.0 +2042,4.0,1.0 +2043,0.0,4.0 +2044,1.0,3.0 +2045,1.0,4.0 +2046,2.0,10.0 +2047,0.0,5.0 +2048,2.0,4.0 +2049,0.0,1.0 +2050,2.0,5.0 +2051,1.0,3.0 +2052,0.0,5.0 +2053,1.0,3.0 +2054,2.0,2.0 +2055,0.0,2.0 +2056,1.0,6.0 +2057,2.0,2.0 +2058,2.0,9.0 +2059,0.0,6.0 +2060,2.0,3.0 +2061,1.0,3.0 +2062,2.0,4.0 +2063,0.0,3.0 +2064,0.0,6.0 +2065,1.0,2.0 +2066,1.0,5.0 +2067,2.0,6.0 +2068,0.0,3.0 +2069,0.0,6.0 +2070,0.0,5.0 +2071,2.0,3.0 +2072,2.0,4.0 +2073,3.0,4.0 +2074,1.0,5.0 +2075,1.0,7.0 +2076,0.0,3.0 +2077,2.0,2.0 +2078,1.0,5.0 +2079,1.0,5.0 +2080,3.0,5.0 +2081,2.0,6.0 +2082,0.0,5.0 +2083,1.0,2.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,2.0,5.0 +2087,2.0,5.0 +2088,0.0,4.0 +2089,0.0,9.0 +2090,0.0,6.0 +2091,4.0,1.0 +2092,0.0,5.0 +2093,2.0,2.0 +2094,2.0,3.0 +2095,3.0,6.0 +2096,1.0,2.0 +2097,1.0,0.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/682-peak+year_c.csv b/SurgeData/682-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/682-peak+year_c.csv rename to SurgeData/682-peak+year_c.csv diff --git a/SurgeData/N=1000/682-peak+year_w.csv b/SurgeData/682-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/682-peak+year_w.csv rename to SurgeData/682-peak+year_w.csv diff --git a/SurgeData/N=1000/682-peak_c.csv b/SurgeData/682-peak_c.csv similarity index 100% rename from SurgeData/N=1000/682-peak_c.csv rename to SurgeData/682-peak_c.csv diff --git a/SurgeData/N=1000/682-peak_w.csv b/SurgeData/682-peak_w.csv similarity index 100% rename from SurgeData/N=1000/682-peak_w.csv rename to SurgeData/682-peak_w.csv diff --git a/SurgeData/N=1000/682-surge_c.csv b/SurgeData/682-surge_c.csv similarity index 100% rename from SurgeData/N=1000/682-surge_c.csv rename to SurgeData/682-surge_c.csv diff --git a/SurgeData/N=1000/682-surge_w.csv b/SurgeData/682-surge_w.csv similarity index 100% rename from SurgeData/N=1000/682-surge_w.csv rename to SurgeData/682-surge_w.csv diff --git a/SurgeData/N=1000/682-time_c.csv b/SurgeData/682-time_c.csv similarity index 100% rename from SurgeData/N=1000/682-time_c.csv rename to SurgeData/682-time_c.csv diff --git a/SurgeData/N=1000/682-time_w.csv b/SurgeData/682-time_w.csv similarity index 100% rename from SurgeData/N=1000/682-time_w.csv rename to SurgeData/682-time_w.csv diff --git a/SurgeData/N=1000/682-waterlevel_c.csv b/SurgeData/682-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/682-waterlevel_c.csv rename to SurgeData/682-waterlevel_c.csv diff --git a/SurgeData/N=1000/682-waterlevel_w.csv b/SurgeData/682-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/682-waterlevel_w.csv rename to SurgeData/682-waterlevel_w.csv diff --git a/SurgeData/683-num_storm.csv b/SurgeData/683-num_storm.csv new file mode 100644 index 00000000..c3991804 --- /dev/null +++ b/SurgeData/683-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,5.0 +2022,1.0,2.0 +2023,2.0,3.0 +2024,1.0,5.0 +2025,3.0,3.0 +2026,3.0,7.0 +2027,2.0,7.0 +2028,3.0,6.0 +2029,2.0,7.0 +2030,3.0,3.0 +2031,2.0,4.0 +2032,2.0,4.0 +2033,4.0,3.0 +2034,1.0,2.0 +2035,1.0,5.0 +2036,2.0,3.0 +2037,3.0,4.0 +2038,4.0,2.0 +2039,0.0,4.0 +2040,3.0,2.0 +2041,1.0,8.0 +2042,0.0,3.0 +2043,3.0,6.0 +2044,0.0,5.0 +2045,0.0,1.0 +2046,1.0,6.0 +2047,2.0,2.0 +2048,3.0,5.0 +2049,1.0,6.0 +2050,1.0,2.0 +2051,0.0,7.0 +2052,2.0,3.0 +2053,2.0,1.0 +2054,4.0,4.0 +2055,1.0,3.0 +2056,1.0,3.0 +2057,2.0,5.0 +2058,1.0,4.0 +2059,2.0,1.0 +2060,1.0,6.0 +2061,4.0,1.0 +2062,1.0,4.0 +2063,3.0,2.0 +2064,1.0,5.0 +2065,0.0,5.0 +2066,4.0,3.0 +2067,1.0,8.0 +2068,3.0,7.0 +2069,2.0,4.0 +2070,0.0,5.0 +2071,3.0,7.0 +2072,1.0,3.0 +2073,0.0,7.0 +2074,1.0,1.0 +2075,2.0,3.0 +2076,0.0,6.0 +2077,3.0,4.0 +2078,2.0,2.0 +2079,0.0,2.0 +2080,4.0,3.0 +2081,2.0,3.0 +2082,3.0,7.0 +2083,1.0,3.0 +2084,1.0,2.0 +2085,0.0,6.0 +2086,4.0,4.0 +2087,1.0,3.0 +2088,2.0,3.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,1.0,4.0 +2092,2.0,2.0 +2093,1.0,2.0 +2094,1.0,8.0 +2095,0.0,6.0 +2096,0.0,4.0 +2097,2.0,4.0 +2098,4.0,3.0 +2099,3.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/683-peak+year_c.csv b/SurgeData/683-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/683-peak+year_c.csv rename to SurgeData/683-peak+year_c.csv diff --git a/SurgeData/N=1000/683-peak+year_w.csv b/SurgeData/683-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/683-peak+year_w.csv rename to SurgeData/683-peak+year_w.csv diff --git a/SurgeData/N=1000/683-peak_c.csv b/SurgeData/683-peak_c.csv similarity index 100% rename from SurgeData/N=1000/683-peak_c.csv rename to SurgeData/683-peak_c.csv diff --git a/SurgeData/N=1000/683-peak_w.csv b/SurgeData/683-peak_w.csv similarity index 100% rename from SurgeData/N=1000/683-peak_w.csv rename to SurgeData/683-peak_w.csv diff --git a/SurgeData/N=1000/683-surge_c.csv b/SurgeData/683-surge_c.csv similarity index 100% rename from SurgeData/N=1000/683-surge_c.csv rename to SurgeData/683-surge_c.csv diff --git a/SurgeData/N=1000/683-surge_w.csv b/SurgeData/683-surge_w.csv similarity index 100% rename from SurgeData/N=1000/683-surge_w.csv rename to SurgeData/683-surge_w.csv diff --git a/SurgeData/N=1000/683-time_c.csv b/SurgeData/683-time_c.csv similarity index 100% rename from SurgeData/N=1000/683-time_c.csv rename to SurgeData/683-time_c.csv diff --git a/SurgeData/N=1000/683-time_w.csv b/SurgeData/683-time_w.csv similarity index 100% rename from SurgeData/N=1000/683-time_w.csv rename to SurgeData/683-time_w.csv diff --git a/SurgeData/N=1000/683-waterlevel_c.csv b/SurgeData/683-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/683-waterlevel_c.csv rename to SurgeData/683-waterlevel_c.csv diff --git a/SurgeData/N=1000/683-waterlevel_w.csv b/SurgeData/683-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/683-waterlevel_w.csv rename to SurgeData/683-waterlevel_w.csv diff --git a/SurgeData/684-num_storm.csv b/SurgeData/684-num_storm.csv new file mode 100644 index 00000000..2fa9139a --- /dev/null +++ b/SurgeData/684-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,2.0,4.0 +2022,2.0,4.0 +2023,0.0,7.0 +2024,1.0,3.0 +2025,0.0,4.0 +2026,5.0,6.0 +2027,1.0,3.0 +2028,3.0,4.0 +2029,2.0,6.0 +2030,2.0,8.0 +2031,1.0,1.0 +2032,1.0,1.0 +2033,3.0,3.0 +2034,3.0,4.0 +2035,2.0,3.0 +2036,2.0,2.0 +2037,0.0,5.0 +2038,2.0,4.0 +2039,2.0,2.0 +2040,1.0,7.0 +2041,1.0,4.0 +2042,1.0,4.0 +2043,2.0,5.0 +2044,0.0,2.0 +2045,0.0,7.0 +2046,1.0,2.0 +2047,4.0,8.0 +2048,3.0,7.0 +2049,0.0,1.0 +2050,1.0,5.0 +2051,0.0,4.0 +2052,0.0,1.0 +2053,3.0,2.0 +2054,0.0,6.0 +2055,3.0,4.0 +2056,1.0,1.0 +2057,1.0,6.0 +2058,0.0,2.0 +2059,3.0,2.0 +2060,2.0,2.0 +2061,2.0,2.0 +2062,2.0,2.0 +2063,1.0,7.0 +2064,1.0,1.0 +2065,2.0,4.0 +2066,1.0,2.0 +2067,2.0,3.0 +2068,0.0,6.0 +2069,2.0,5.0 +2070,3.0,7.0 +2071,1.0,3.0 +2072,3.0,4.0 +2073,3.0,3.0 +2074,1.0,5.0 +2075,2.0,3.0 +2076,1.0,5.0 +2077,2.0,7.0 +2078,0.0,2.0 +2079,2.0,7.0 +2080,3.0,1.0 +2081,2.0,6.0 +2082,0.0,4.0 +2083,1.0,5.0 +2084,2.0,6.0 +2085,1.0,6.0 +2086,2.0,2.0 +2087,0.0,2.0 +2088,1.0,3.0 +2089,0.0,5.0 +2090,2.0,7.0 +2091,2.0,6.0 +2092,1.0,5.0 +2093,1.0,2.0 +2094,1.0,4.0 +2095,5.0,1.0 +2096,1.0,6.0 +2097,1.0,3.0 +2098,1.0,1.0 +2099,2.0,1.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/684-peak+year_c.csv b/SurgeData/684-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/684-peak+year_c.csv rename to SurgeData/684-peak+year_c.csv diff --git a/SurgeData/N=1000/684-peak+year_w.csv b/SurgeData/684-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/684-peak+year_w.csv rename to SurgeData/684-peak+year_w.csv diff --git a/SurgeData/N=1000/684-peak_c.csv b/SurgeData/684-peak_c.csv similarity index 100% rename from SurgeData/N=1000/684-peak_c.csv rename to SurgeData/684-peak_c.csv diff --git a/SurgeData/N=1000/684-peak_w.csv b/SurgeData/684-peak_w.csv similarity index 100% rename from SurgeData/N=1000/684-peak_w.csv rename to SurgeData/684-peak_w.csv diff --git a/SurgeData/N=1000/684-surge_c.csv b/SurgeData/684-surge_c.csv similarity index 100% rename from SurgeData/N=1000/684-surge_c.csv rename to SurgeData/684-surge_c.csv diff --git a/SurgeData/N=1000/684-surge_w.csv b/SurgeData/684-surge_w.csv similarity index 100% rename from SurgeData/N=1000/684-surge_w.csv rename to SurgeData/684-surge_w.csv diff --git a/SurgeData/N=1000/684-time_c.csv b/SurgeData/684-time_c.csv similarity index 100% rename from SurgeData/N=1000/684-time_c.csv rename to SurgeData/684-time_c.csv diff --git a/SurgeData/N=1000/684-time_w.csv b/SurgeData/684-time_w.csv similarity index 100% rename from SurgeData/N=1000/684-time_w.csv rename to SurgeData/684-time_w.csv diff --git a/SurgeData/N=1000/684-waterlevel_c.csv b/SurgeData/684-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/684-waterlevel_c.csv rename to SurgeData/684-waterlevel_c.csv diff --git a/SurgeData/N=1000/684-waterlevel_w.csv b/SurgeData/684-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/684-waterlevel_w.csv rename to SurgeData/684-waterlevel_w.csv diff --git a/SurgeData/685-num_storm.csv b/SurgeData/685-num_storm.csv new file mode 100644 index 00000000..244ee98d --- /dev/null +++ b/SurgeData/685-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,4.0 +2022,3.0,4.0 +2023,1.0,3.0 +2024,0.0,9.0 +2025,2.0,5.0 +2026,2.0,4.0 +2027,1.0,3.0 +2028,2.0,2.0 +2029,1.0,6.0 +2030,2.0,6.0 +2031,3.0,5.0 +2032,0.0,3.0 +2033,0.0,6.0 +2034,3.0,3.0 +2035,1.0,7.0 +2036,3.0,5.0 +2037,0.0,3.0 +2038,2.0,2.0 +2039,0.0,3.0 +2040,1.0,2.0 +2041,3.0,1.0 +2042,0.0,4.0 +2043,1.0,5.0 +2044,0.0,4.0 +2045,2.0,1.0 +2046,1.0,6.0 +2047,2.0,2.0 +2048,2.0,2.0 +2049,2.0,1.0 +2050,2.0,4.0 +2051,1.0,1.0 +2052,1.0,5.0 +2053,1.0,5.0 +2054,3.0,5.0 +2055,1.0,3.0 +2056,2.0,5.0 +2057,4.0,4.0 +2058,1.0,6.0 +2059,0.0,3.0 +2060,2.0,4.0 +2061,1.0,0.0 +2062,2.0,6.0 +2063,1.0,1.0 +2064,0.0,6.0 +2065,3.0,2.0 +2066,1.0,4.0 +2067,1.0,4.0 +2068,4.0,3.0 +2069,3.0,2.0 +2070,0.0,8.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,3.0,4.0 +2074,1.0,3.0 +2075,0.0,6.0 +2076,5.0,0.0 +2077,2.0,4.0 +2078,1.0,2.0 +2079,1.0,5.0 +2080,1.0,6.0 +2081,0.0,5.0 +2082,2.0,2.0 +2083,2.0,3.0 +2084,1.0,4.0 +2085,3.0,1.0 +2086,2.0,6.0 +2087,2.0,5.0 +2088,2.0,8.0 +2089,1.0,3.0 +2090,2.0,2.0 +2091,2.0,2.0 +2092,1.0,2.0 +2093,1.0,3.0 +2094,4.0,3.0 +2095,2.0,6.0 +2096,1.0,5.0 +2097,0.0,5.0 +2098,1.0,0.0 +2099,2.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/685-peak+year_c.csv b/SurgeData/685-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/685-peak+year_c.csv rename to SurgeData/685-peak+year_c.csv diff --git a/SurgeData/N=1000/685-peak+year_w.csv b/SurgeData/685-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/685-peak+year_w.csv rename to SurgeData/685-peak+year_w.csv diff --git a/SurgeData/N=1000/685-peak_c.csv b/SurgeData/685-peak_c.csv similarity index 100% rename from SurgeData/N=1000/685-peak_c.csv rename to SurgeData/685-peak_c.csv diff --git a/SurgeData/N=1000/685-peak_w.csv b/SurgeData/685-peak_w.csv similarity index 100% rename from SurgeData/N=1000/685-peak_w.csv rename to SurgeData/685-peak_w.csv diff --git a/SurgeData/N=1000/685-surge_c.csv b/SurgeData/685-surge_c.csv similarity index 100% rename from SurgeData/N=1000/685-surge_c.csv rename to SurgeData/685-surge_c.csv diff --git a/SurgeData/N=1000/685-surge_w.csv b/SurgeData/685-surge_w.csv similarity index 100% rename from SurgeData/N=1000/685-surge_w.csv rename to SurgeData/685-surge_w.csv diff --git a/SurgeData/N=1000/685-time_c.csv b/SurgeData/685-time_c.csv similarity index 100% rename from SurgeData/N=1000/685-time_c.csv rename to SurgeData/685-time_c.csv diff --git a/SurgeData/N=1000/685-time_w.csv b/SurgeData/685-time_w.csv similarity index 100% rename from SurgeData/N=1000/685-time_w.csv rename to SurgeData/685-time_w.csv diff --git a/SurgeData/N=1000/685-waterlevel_c.csv b/SurgeData/685-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/685-waterlevel_c.csv rename to SurgeData/685-waterlevel_c.csv diff --git a/SurgeData/N=1000/685-waterlevel_w.csv b/SurgeData/685-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/685-waterlevel_w.csv rename to SurgeData/685-waterlevel_w.csv diff --git a/SurgeData/686-num_storm.csv b/SurgeData/686-num_storm.csv new file mode 100644 index 00000000..e9da0d79 --- /dev/null +++ b/SurgeData/686-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,4.0,5.0 +2022,1.0,4.0 +2023,0.0,6.0 +2024,1.0,5.0 +2025,0.0,1.0 +2026,5.0,2.0 +2027,1.0,5.0 +2028,2.0,2.0 +2029,2.0,1.0 +2030,0.0,3.0 +2031,2.0,1.0 +2032,1.0,3.0 +2033,0.0,5.0 +2034,1.0,2.0 +2035,0.0,2.0 +2036,3.0,8.0 +2037,1.0,2.0 +2038,1.0,2.0 +2039,1.0,4.0 +2040,1.0,8.0 +2041,1.0,4.0 +2042,3.0,7.0 +2043,1.0,6.0 +2044,3.0,3.0 +2045,3.0,2.0 +2046,1.0,5.0 +2047,2.0,6.0 +2048,0.0,3.0 +2049,0.0,3.0 +2050,0.0,7.0 +2051,2.0,0.0 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SurgeData/N=1000/686-peak+year_w.csv rename to SurgeData/686-peak+year_w.csv diff --git a/SurgeData/N=1000/686-peak_c.csv b/SurgeData/686-peak_c.csv similarity index 100% rename from SurgeData/N=1000/686-peak_c.csv rename to SurgeData/686-peak_c.csv diff --git a/SurgeData/N=1000/686-peak_w.csv b/SurgeData/686-peak_w.csv similarity index 100% rename from SurgeData/N=1000/686-peak_w.csv rename to SurgeData/686-peak_w.csv diff --git a/SurgeData/N=1000/686-surge_c.csv b/SurgeData/686-surge_c.csv similarity index 100% rename from SurgeData/N=1000/686-surge_c.csv rename to SurgeData/686-surge_c.csv diff --git a/SurgeData/N=1000/686-surge_w.csv b/SurgeData/686-surge_w.csv similarity index 100% rename from SurgeData/N=1000/686-surge_w.csv rename to SurgeData/686-surge_w.csv diff --git a/SurgeData/N=1000/686-time_c.csv b/SurgeData/686-time_c.csv similarity index 100% rename from SurgeData/N=1000/686-time_c.csv rename to SurgeData/686-time_c.csv diff --git a/SurgeData/N=1000/686-time_w.csv b/SurgeData/686-time_w.csv similarity index 100% rename from SurgeData/N=1000/686-time_w.csv rename to SurgeData/686-time_w.csv diff --git a/SurgeData/N=1000/686-waterlevel_c.csv b/SurgeData/686-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/686-waterlevel_c.csv rename to SurgeData/686-waterlevel_c.csv diff --git a/SurgeData/N=1000/686-waterlevel_w.csv b/SurgeData/686-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/686-waterlevel_w.csv rename to SurgeData/686-waterlevel_w.csv diff --git a/SurgeData/687-num_storm.csv b/SurgeData/687-num_storm.csv new file mode 100644 index 00000000..f6baaa1d --- /dev/null +++ b/SurgeData/687-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,2.0 +2022,2.0,2.0 +2023,1.0,4.0 +2024,2.0,4.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,0.0,5.0 +2028,0.0,9.0 +2029,1.0,3.0 +2030,2.0,7.0 +2031,1.0,6.0 +2032,1.0,4.0 +2033,1.0,2.0 +2034,2.0,3.0 +2035,4.0,3.0 +2036,3.0,5.0 +2037,2.0,5.0 +2038,1.0,10.0 +2039,0.0,3.0 +2040,1.0,2.0 +2041,2.0,2.0 +2042,0.0,4.0 +2043,1.0,2.0 +2044,1.0,1.0 +2045,3.0,8.0 +2046,1.0,4.0 +2047,3.0,5.0 +2048,3.0,3.0 +2049,2.0,5.0 +2050,3.0,6.0 +2051,0.0,4.0 +2052,0.0,3.0 +2053,1.0,1.0 +2054,2.0,5.0 +2055,1.0,5.0 +2056,0.0,5.0 +2057,1.0,4.0 +2058,2.0,2.0 +2059,3.0,5.0 +2060,1.0,2.0 +2061,0.0,3.0 +2062,0.0,5.0 +2063,2.0,9.0 +2064,2.0,4.0 +2065,1.0,6.0 +2066,1.0,5.0 +2067,1.0,3.0 +2068,0.0,4.0 +2069,5.0,9.0 +2070,1.0,4.0 +2071,0.0,1.0 +2072,0.0,1.0 +2073,2.0,4.0 +2074,2.0,7.0 +2075,1.0,2.0 +2076,1.0,4.0 +2077,0.0,10.0 +2078,3.0,1.0 +2079,2.0,6.0 +2080,2.0,6.0 +2081,3.0,4.0 +2082,1.0,5.0 +2083,1.0,5.0 +2084,3.0,3.0 +2085,1.0,2.0 +2086,0.0,6.0 +2087,2.0,4.0 +2088,1.0,3.0 +2089,0.0,4.0 +2090,1.0,6.0 +2091,1.0,3.0 +2092,0.0,4.0 +2093,2.0,4.0 +2094,3.0,3.0 +2095,2.0,3.0 +2096,4.0,2.0 +2097,4.0,1.0 +2098,1.0,2.0 +2099,1.0,6.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/687-peak+year_c.csv b/SurgeData/687-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/687-peak+year_c.csv rename to SurgeData/687-peak+year_c.csv diff --git a/SurgeData/N=1000/687-peak+year_w.csv b/SurgeData/687-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/687-peak+year_w.csv rename to SurgeData/687-peak+year_w.csv diff --git a/SurgeData/N=1000/687-peak_c.csv b/SurgeData/687-peak_c.csv similarity index 100% rename from SurgeData/N=1000/687-peak_c.csv rename to SurgeData/687-peak_c.csv diff --git a/SurgeData/N=1000/687-peak_w.csv b/SurgeData/687-peak_w.csv similarity index 100% rename from SurgeData/N=1000/687-peak_w.csv rename to SurgeData/687-peak_w.csv diff --git a/SurgeData/N=1000/687-surge_c.csv b/SurgeData/687-surge_c.csv similarity index 100% rename from SurgeData/N=1000/687-surge_c.csv rename to SurgeData/687-surge_c.csv diff --git a/SurgeData/N=1000/687-surge_w.csv b/SurgeData/687-surge_w.csv similarity index 100% rename from SurgeData/N=1000/687-surge_w.csv rename to SurgeData/687-surge_w.csv diff --git a/SurgeData/N=1000/687-time_c.csv b/SurgeData/687-time_c.csv similarity index 100% rename from SurgeData/N=1000/687-time_c.csv rename to SurgeData/687-time_c.csv diff --git a/SurgeData/N=1000/687-time_w.csv b/SurgeData/687-time_w.csv similarity index 100% rename from SurgeData/N=1000/687-time_w.csv rename to SurgeData/687-time_w.csv diff --git a/SurgeData/N=1000/687-waterlevel_c.csv b/SurgeData/687-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/687-waterlevel_c.csv rename to SurgeData/687-waterlevel_c.csv diff --git a/SurgeData/N=1000/687-waterlevel_w.csv b/SurgeData/687-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/687-waterlevel_w.csv rename to SurgeData/687-waterlevel_w.csv diff --git a/SurgeData/688-num_storm.csv b/SurgeData/688-num_storm.csv new file mode 100644 index 00000000..6d346ea0 --- /dev/null +++ b/SurgeData/688-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,0.0 +2021,1.0,7.0 +2022,1.0,5.0 +2023,1.0,6.0 +2024,1.0,2.0 +2025,2.0,5.0 +2026,3.0,2.0 +2027,3.0,4.0 +2028,2.0,4.0 +2029,4.0,3.0 +2030,2.0,2.0 +2031,0.0,5.0 +2032,0.0,1.0 +2033,1.0,7.0 +2034,0.0,5.0 +2035,0.0,2.0 +2036,1.0,5.0 +2037,5.0,4.0 +2038,2.0,10.0 +2039,2.0,6.0 +2040,5.0,2.0 +2041,1.0,4.0 +2042,1.0,7.0 +2043,1.0,2.0 +2044,1.0,0.0 +2045,2.0,3.0 +2046,1.0,3.0 +2047,1.0,4.0 +2048,2.0,5.0 +2049,2.0,2.0 +2050,0.0,5.0 +2051,1.0,3.0 +2052,0.0,4.0 +2053,2.0,4.0 +2054,1.0,3.0 +2055,0.0,6.0 +2056,5.0,5.0 +2057,1.0,2.0 +2058,2.0,5.0 +2059,1.0,4.0 +2060,1.0,2.0 +2061,1.0,2.0 +2062,4.0,6.0 +2063,3.0,3.0 +2064,2.0,5.0 +2065,2.0,8.0 +2066,3.0,4.0 +2067,1.0,4.0 +2068,1.0,8.0 +2069,1.0,3.0 +2070,5.0,5.0 +2071,2.0,7.0 +2072,2.0,7.0 +2073,3.0,2.0 +2074,1.0,5.0 +2075,0.0,1.0 +2076,0.0,2.0 +2077,1.0,1.0 +2078,2.0,6.0 +2079,0.0,2.0 +2080,0.0,3.0 +2081,1.0,2.0 +2082,1.0,4.0 +2083,0.0,3.0 +2084,1.0,1.0 +2085,3.0,10.0 +2086,2.0,6.0 +2087,3.0,1.0 +2088,2.0,1.0 +2089,1.0,3.0 +2090,1.0,5.0 +2091,1.0,3.0 +2092,4.0,5.0 +2093,0.0,4.0 +2094,2.0,3.0 +2095,0.0,3.0 +2096,2.0,2.0 +2097,1.0,3.0 +2098,2.0,6.0 +2099,0.0,6.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/688-peak+year_c.csv b/SurgeData/688-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/688-peak+year_c.csv rename to SurgeData/688-peak+year_c.csv diff --git a/SurgeData/N=1000/688-peak+year_w.csv b/SurgeData/688-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/688-peak+year_w.csv rename to SurgeData/688-peak+year_w.csv diff --git a/SurgeData/N=1000/688-peak_c.csv b/SurgeData/688-peak_c.csv similarity index 100% rename from SurgeData/N=1000/688-peak_c.csv rename to SurgeData/688-peak_c.csv diff --git a/SurgeData/N=1000/688-peak_w.csv b/SurgeData/688-peak_w.csv similarity index 100% rename from SurgeData/N=1000/688-peak_w.csv rename to SurgeData/688-peak_w.csv diff --git a/SurgeData/N=1000/688-surge_c.csv b/SurgeData/688-surge_c.csv similarity index 100% rename from SurgeData/N=1000/688-surge_c.csv rename to SurgeData/688-surge_c.csv diff --git a/SurgeData/N=1000/688-surge_w.csv b/SurgeData/688-surge_w.csv similarity index 100% rename from SurgeData/N=1000/688-surge_w.csv rename to SurgeData/688-surge_w.csv diff --git a/SurgeData/N=1000/688-time_c.csv b/SurgeData/688-time_c.csv similarity index 100% rename from SurgeData/N=1000/688-time_c.csv rename to SurgeData/688-time_c.csv diff --git a/SurgeData/N=1000/688-time_w.csv b/SurgeData/688-time_w.csv similarity index 100% rename from SurgeData/N=1000/688-time_w.csv rename to SurgeData/688-time_w.csv diff --git a/SurgeData/N=1000/688-waterlevel_c.csv b/SurgeData/688-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/688-waterlevel_c.csv rename to SurgeData/688-waterlevel_c.csv diff --git a/SurgeData/N=1000/688-waterlevel_w.csv b/SurgeData/688-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/688-waterlevel_w.csv rename to SurgeData/688-waterlevel_w.csv diff --git a/SurgeData/689-num_storm.csv b/SurgeData/689-num_storm.csv new file mode 100644 index 00000000..b7cecaa6 --- /dev/null +++ b/SurgeData/689-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,4.0 +2022,0.0,0.0 +2023,0.0,2.0 +2024,1.0,1.0 +2025,1.0,2.0 +2026,3.0,5.0 +2027,0.0,4.0 +2028,0.0,1.0 +2029,1.0,4.0 +2030,0.0,3.0 +2031,1.0,4.0 +2032,0.0,8.0 +2033,5.0,6.0 +2034,0.0,4.0 +2035,2.0,6.0 +2036,0.0,3.0 +2037,0.0,4.0 +2038,2.0,6.0 +2039,2.0,5.0 +2040,2.0,4.0 +2041,0.0,6.0 +2042,2.0,7.0 +2043,2.0,7.0 +2044,3.0,2.0 +2045,2.0,3.0 +2046,0.0,5.0 +2047,1.0,5.0 +2048,3.0,1.0 +2049,1.0,5.0 +2050,5.0,2.0 +2051,1.0,1.0 +2052,2.0,3.0 +2053,2.0,4.0 +2054,2.0,6.0 +2055,1.0,4.0 +2056,2.0,8.0 +2057,1.0,2.0 +2058,1.0,3.0 +2059,0.0,6.0 +2060,1.0,1.0 +2061,1.0,3.0 +2062,2.0,4.0 +2063,1.0,4.0 +2064,4.0,6.0 +2065,4.0,5.0 +2066,1.0,3.0 +2067,3.0,8.0 +2068,2.0,2.0 +2069,1.0,4.0 +2070,0.0,3.0 +2071,0.0,6.0 +2072,2.0,6.0 +2073,2.0,5.0 +2074,0.0,2.0 +2075,1.0,3.0 +2076,1.0,6.0 +2077,0.0,3.0 +2078,1.0,2.0 +2079,2.0,4.0 +2080,0.0,2.0 +2081,1.0,8.0 +2082,1.0,3.0 +2083,3.0,2.0 +2084,3.0,4.0 +2085,0.0,6.0 +2086,2.0,3.0 +2087,2.0,2.0 +2088,0.0,4.0 +2089,1.0,4.0 +2090,1.0,3.0 +2091,2.0,4.0 +2092,1.0,4.0 +2093,0.0,1.0 +2094,1.0,7.0 +2095,3.0,2.0 +2096,1.0,5.0 +2097,0.0,6.0 +2098,1.0,10.0 +2099,0.0,5.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/689-peak+year_c.csv b/SurgeData/689-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/689-peak+year_c.csv rename to SurgeData/689-peak+year_c.csv diff --git a/SurgeData/N=1000/689-peak+year_w.csv b/SurgeData/689-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/689-peak+year_w.csv rename to SurgeData/689-peak+year_w.csv diff --git a/SurgeData/N=1000/689-peak_c.csv b/SurgeData/689-peak_c.csv similarity index 100% rename from SurgeData/N=1000/689-peak_c.csv rename to SurgeData/689-peak_c.csv diff --git a/SurgeData/N=1000/689-peak_w.csv b/SurgeData/689-peak_w.csv similarity index 100% rename from SurgeData/N=1000/689-peak_w.csv rename to SurgeData/689-peak_w.csv diff --git a/SurgeData/N=1000/689-surge_c.csv b/SurgeData/689-surge_c.csv similarity index 100% rename from SurgeData/N=1000/689-surge_c.csv rename to SurgeData/689-surge_c.csv diff --git a/SurgeData/N=1000/689-surge_w.csv b/SurgeData/689-surge_w.csv similarity index 100% rename from SurgeData/N=1000/689-surge_w.csv rename to SurgeData/689-surge_w.csv diff --git a/SurgeData/N=1000/689-time_c.csv b/SurgeData/689-time_c.csv similarity index 100% rename from SurgeData/N=1000/689-time_c.csv rename to SurgeData/689-time_c.csv diff --git a/SurgeData/N=1000/689-time_w.csv b/SurgeData/689-time_w.csv similarity index 100% rename from SurgeData/N=1000/689-time_w.csv rename to SurgeData/689-time_w.csv diff --git a/SurgeData/N=1000/689-waterlevel_c.csv b/SurgeData/689-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/689-waterlevel_c.csv rename to SurgeData/689-waterlevel_c.csv diff --git a/SurgeData/N=1000/689-waterlevel_w.csv b/SurgeData/689-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/689-waterlevel_w.csv rename to SurgeData/689-waterlevel_w.csv diff --git a/SurgeData/69-num_storm.csv b/SurgeData/69-num_storm.csv new file mode 100644 index 00000000..fc7f0cef --- /dev/null +++ b/SurgeData/69-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,2.0 +2022,2.0,8.0 +2023,0.0,2.0 +2024,1.0,5.0 +2025,3.0,3.0 +2026,0.0,7.0 +2027,1.0,6.0 +2028,0.0,7.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,2.0,1.0 +2032,2.0,8.0 +2033,1.0,3.0 +2034,0.0,2.0 +2035,0.0,3.0 +2036,0.0,4.0 +2037,0.0,4.0 +2038,2.0,4.0 +2039,1.0,5.0 +2040,0.0,6.0 +2041,1.0,0.0 +2042,1.0,2.0 +2043,2.0,1.0 +2044,1.0,4.0 +2045,2.0,5.0 +2046,1.0,5.0 +2047,2.0,6.0 +2048,1.0,5.0 +2049,3.0,7.0 +2050,0.0,4.0 +2051,0.0,3.0 +2052,1.0,4.0 +2053,2.0,6.0 +2054,1.0,6.0 +2055,3.0,2.0 +2056,2.0,5.0 +2057,1.0,6.0 +2058,0.0,6.0 +2059,3.0,1.0 +2060,1.0,4.0 +2061,1.0,7.0 +2062,1.0,6.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,2.0,1.0 +2066,2.0,3.0 +2067,2.0,6.0 +2068,0.0,4.0 +2069,1.0,3.0 +2070,1.0,6.0 +2071,2.0,4.0 +2072,2.0,6.0 +2073,1.0,6.0 +2074,0.0,5.0 +2075,1.0,3.0 +2076,3.0,4.0 +2077,1.0,2.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,1.0,4.0 +2081,2.0,3.0 +2082,1.0,8.0 +2083,4.0,2.0 +2084,2.0,5.0 +2085,2.0,4.0 +2086,1.0,2.0 +2087,0.0,0.0 +2088,0.0,6.0 +2089,2.0,1.0 +2090,1.0,4.0 +2091,3.0,3.0 +2092,2.0,2.0 +2093,1.0,4.0 +2094,0.0,4.0 +2095,3.0,6.0 +2096,2.0,6.0 +2097,3.0,3.0 +2098,1.0,8.0 +2099,4.0,4.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/69-peak+year_c.csv b/SurgeData/69-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/69-peak+year_c.csv rename to SurgeData/69-peak+year_c.csv diff --git a/SurgeData/N=1000/69-peak+year_w.csv b/SurgeData/69-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/69-peak+year_w.csv rename to SurgeData/69-peak+year_w.csv diff --git a/SurgeData/N=1000/69-peak_c.csv b/SurgeData/69-peak_c.csv similarity index 100% rename from SurgeData/N=1000/69-peak_c.csv rename to SurgeData/69-peak_c.csv diff --git a/SurgeData/N=1000/69-peak_w.csv b/SurgeData/69-peak_w.csv similarity index 100% rename from SurgeData/N=1000/69-peak_w.csv rename to SurgeData/69-peak_w.csv diff --git a/SurgeData/N=1000/69-surge_c.csv b/SurgeData/69-surge_c.csv similarity index 100% rename from SurgeData/N=1000/69-surge_c.csv rename to SurgeData/69-surge_c.csv diff --git a/SurgeData/N=1000/69-surge_w.csv b/SurgeData/69-surge_w.csv similarity index 100% rename from SurgeData/N=1000/69-surge_w.csv rename to SurgeData/69-surge_w.csv diff --git a/SurgeData/N=1000/69-time_c.csv b/SurgeData/69-time_c.csv similarity index 100% rename from SurgeData/N=1000/69-time_c.csv rename to SurgeData/69-time_c.csv diff --git a/SurgeData/N=1000/69-time_w.csv b/SurgeData/69-time_w.csv similarity index 100% rename from SurgeData/N=1000/69-time_w.csv rename to SurgeData/69-time_w.csv diff --git a/SurgeData/N=1000/69-waterlevel_c.csv b/SurgeData/69-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/69-waterlevel_c.csv rename to SurgeData/69-waterlevel_c.csv diff --git a/SurgeData/N=1000/69-waterlevel_w.csv b/SurgeData/69-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/69-waterlevel_w.csv rename to SurgeData/69-waterlevel_w.csv diff --git a/SurgeData/690-num_storm.csv b/SurgeData/690-num_storm.csv new file mode 100644 index 00000000..9922930a --- /dev/null +++ b/SurgeData/690-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,3.0,4.0 +2022,2.0,4.0 +2023,2.0,5.0 +2024,1.0,3.0 +2025,0.0,4.0 +2026,0.0,7.0 +2027,1.0,3.0 +2028,1.0,6.0 +2029,1.0,1.0 +2030,2.0,5.0 +2031,1.0,6.0 +2032,3.0,3.0 +2033,2.0,4.0 +2034,0.0,4.0 +2035,2.0,2.0 +2036,0.0,6.0 +2037,2.0,1.0 +2038,2.0,6.0 +2039,0.0,1.0 +2040,1.0,3.0 +2041,1.0,2.0 +2042,0.0,4.0 +2043,1.0,6.0 +2044,3.0,5.0 +2045,2.0,7.0 +2046,1.0,2.0 +2047,0.0,6.0 +2048,1.0,9.0 +2049,0.0,4.0 +2050,0.0,5.0 +2051,4.0,5.0 +2052,2.0,3.0 +2053,3.0,1.0 +2054,2.0,1.0 +2055,0.0,2.0 +2056,2.0,4.0 +2057,1.0,2.0 +2058,0.0,8.0 +2059,3.0,7.0 +2060,1.0,4.0 +2061,2.0,3.0 +2062,4.0,5.0 +2063,0.0,3.0 +2064,3.0,4.0 +2065,1.0,3.0 +2066,0.0,4.0 +2067,0.0,4.0 +2068,2.0,2.0 +2069,3.0,4.0 +2070,2.0,4.0 +2071,1.0,1.0 +2072,3.0,1.0 +2073,0.0,4.0 +2074,0.0,2.0 +2075,2.0,8.0 +2076,1.0,4.0 +2077,1.0,1.0 +2078,1.0,5.0 +2079,0.0,3.0 +2080,1.0,4.0 +2081,2.0,3.0 +2082,0.0,5.0 +2083,3.0,2.0 +2084,1.0,5.0 +2085,1.0,5.0 +2086,4.0,3.0 +2087,1.0,2.0 +2088,0.0,6.0 +2089,1.0,5.0 +2090,0.0,2.0 +2091,3.0,3.0 +2092,3.0,1.0 +2093,0.0,4.0 +2094,3.0,0.0 +2095,4.0,8.0 +2096,1.0,2.0 +2097,2.0,0.0 +2098,1.0,5.0 +2099,1.0,4.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/690-peak+year_c.csv b/SurgeData/690-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/690-peak+year_c.csv rename to SurgeData/690-peak+year_c.csv diff --git a/SurgeData/N=1000/690-peak+year_w.csv b/SurgeData/690-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/690-peak+year_w.csv rename to SurgeData/690-peak+year_w.csv diff --git a/SurgeData/N=1000/690-peak_c.csv b/SurgeData/690-peak_c.csv similarity index 100% rename from SurgeData/N=1000/690-peak_c.csv rename to SurgeData/690-peak_c.csv diff --git a/SurgeData/N=1000/690-peak_w.csv b/SurgeData/690-peak_w.csv similarity index 100% rename from SurgeData/N=1000/690-peak_w.csv rename to SurgeData/690-peak_w.csv diff --git a/SurgeData/N=1000/690-surge_c.csv b/SurgeData/690-surge_c.csv similarity index 100% rename from SurgeData/N=1000/690-surge_c.csv rename to SurgeData/690-surge_c.csv diff --git a/SurgeData/N=1000/690-surge_w.csv b/SurgeData/690-surge_w.csv similarity index 100% rename from SurgeData/N=1000/690-surge_w.csv rename to SurgeData/690-surge_w.csv diff --git a/SurgeData/N=1000/690-time_c.csv b/SurgeData/690-time_c.csv similarity index 100% rename from SurgeData/N=1000/690-time_c.csv rename to SurgeData/690-time_c.csv diff --git a/SurgeData/N=1000/690-time_w.csv b/SurgeData/690-time_w.csv similarity index 100% rename from SurgeData/N=1000/690-time_w.csv rename to SurgeData/690-time_w.csv diff --git a/SurgeData/N=1000/690-waterlevel_c.csv b/SurgeData/690-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/690-waterlevel_c.csv rename to SurgeData/690-waterlevel_c.csv diff --git a/SurgeData/N=1000/690-waterlevel_w.csv b/SurgeData/690-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/690-waterlevel_w.csv rename to SurgeData/690-waterlevel_w.csv diff --git a/SurgeData/691-num_storm.csv b/SurgeData/691-num_storm.csv new file mode 100644 index 00000000..80fc695c --- /dev/null +++ b/SurgeData/691-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,4.0,1.0 +2022,2.0,3.0 +2023,3.0,6.0 +2024,2.0,3.0 +2025,5.0,3.0 +2026,2.0,2.0 +2027,2.0,5.0 +2028,1.0,4.0 +2029,2.0,1.0 +2030,1.0,6.0 +2031,4.0,4.0 +2032,3.0,4.0 +2033,0.0,5.0 +2034,3.0,6.0 +2035,2.0,9.0 +2036,3.0,3.0 +2037,2.0,2.0 +2038,0.0,1.0 +2039,0.0,5.0 +2040,4.0,0.0 +2041,3.0,3.0 +2042,0.0,4.0 +2043,0.0,7.0 +2044,0.0,0.0 +2045,1.0,6.0 +2046,1.0,6.0 +2047,0.0,4.0 +2048,0.0,1.0 +2049,2.0,9.0 +2050,4.0,4.0 +2051,2.0,3.0 +2052,1.0,2.0 +2053,1.0,7.0 +2054,1.0,3.0 +2055,0.0,3.0 +2056,1.0,4.0 +2057,2.0,5.0 +2058,1.0,4.0 +2059,0.0,3.0 +2060,1.0,10.0 +2061,1.0,4.0 +2062,0.0,4.0 +2063,0.0,3.0 +2064,1.0,4.0 +2065,3.0,7.0 +2066,2.0,1.0 +2067,2.0,8.0 +2068,5.0,0.0 +2069,1.0,3.0 +2070,2.0,3.0 +2071,1.0,0.0 +2072,0.0,8.0 +2073,3.0,4.0 +2074,1.0,5.0 +2075,1.0,8.0 +2076,3.0,6.0 +2077,1.0,2.0 +2078,0.0,5.0 +2079,0.0,3.0 +2080,3.0,4.0 +2081,3.0,6.0 +2082,2.0,7.0 +2083,2.0,2.0 +2084,1.0,1.0 +2085,0.0,6.0 +2086,2.0,5.0 +2087,0.0,3.0 +2088,2.0,4.0 +2089,0.0,7.0 +2090,2.0,7.0 +2091,2.0,4.0 +2092,1.0,3.0 +2093,0.0,7.0 +2094,2.0,3.0 +2095,0.0,8.0 +2096,4.0,2.0 +2097,1.0,5.0 +2098,2.0,6.0 +2099,1.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/691-peak+year_c.csv b/SurgeData/691-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/691-peak+year_c.csv rename to SurgeData/691-peak+year_c.csv diff --git a/SurgeData/N=1000/691-peak+year_w.csv b/SurgeData/691-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/691-peak+year_w.csv rename to SurgeData/691-peak+year_w.csv diff --git a/SurgeData/N=1000/691-peak_c.csv b/SurgeData/691-peak_c.csv similarity index 100% rename from SurgeData/N=1000/691-peak_c.csv rename to SurgeData/691-peak_c.csv diff --git a/SurgeData/N=1000/691-peak_w.csv b/SurgeData/691-peak_w.csv similarity index 100% rename from SurgeData/N=1000/691-peak_w.csv rename to SurgeData/691-peak_w.csv diff --git a/SurgeData/N=1000/691-surge_c.csv b/SurgeData/691-surge_c.csv similarity index 100% rename from SurgeData/N=1000/691-surge_c.csv rename to SurgeData/691-surge_c.csv diff --git a/SurgeData/N=1000/691-surge_w.csv b/SurgeData/691-surge_w.csv similarity index 100% rename from SurgeData/N=1000/691-surge_w.csv rename to SurgeData/691-surge_w.csv diff --git a/SurgeData/N=1000/691-time_c.csv b/SurgeData/691-time_c.csv similarity index 100% rename from SurgeData/N=1000/691-time_c.csv rename to SurgeData/691-time_c.csv diff --git a/SurgeData/N=1000/691-time_w.csv b/SurgeData/691-time_w.csv similarity index 100% rename from SurgeData/N=1000/691-time_w.csv rename to SurgeData/691-time_w.csv diff --git a/SurgeData/N=1000/691-waterlevel_c.csv b/SurgeData/691-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/691-waterlevel_c.csv rename to SurgeData/691-waterlevel_c.csv diff --git a/SurgeData/N=1000/691-waterlevel_w.csv b/SurgeData/691-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/691-waterlevel_w.csv rename to SurgeData/691-waterlevel_w.csv diff --git a/SurgeData/692-num_storm.csv b/SurgeData/692-num_storm.csv new file mode 100644 index 00000000..a0b62487 --- /dev/null +++ b/SurgeData/692-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,7.0 +2022,0.0,5.0 +2023,3.0,5.0 +2024,0.0,5.0 +2025,0.0,2.0 +2026,1.0,8.0 +2027,1.0,2.0 +2028,2.0,8.0 +2029,3.0,4.0 +2030,1.0,7.0 +2031,1.0,4.0 +2032,0.0,2.0 +2033,1.0,8.0 +2034,2.0,5.0 +2035,2.0,1.0 +2036,1.0,4.0 +2037,0.0,7.0 +2038,2.0,3.0 +2039,0.0,4.0 +2040,0.0,2.0 +2041,0.0,2.0 +2042,2.0,6.0 +2043,2.0,2.0 +2044,1.0,8.0 +2045,2.0,5.0 +2046,2.0,8.0 +2047,1.0,3.0 +2048,1.0,1.0 +2049,3.0,6.0 +2050,1.0,3.0 +2051,0.0,4.0 +2052,4.0,6.0 +2053,0.0,3.0 +2054,4.0,4.0 +2055,2.0,4.0 +2056,0.0,4.0 +2057,0.0,4.0 +2058,2.0,3.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,1.0,0.0 +2062,2.0,8.0 +2063,3.0,6.0 +2064,2.0,2.0 +2065,1.0,5.0 +2066,0.0,6.0 +2067,1.0,6.0 +2068,4.0,8.0 +2069,2.0,4.0 +2070,0.0,5.0 +2071,2.0,3.0 +2072,1.0,6.0 +2073,1.0,3.0 +2074,0.0,3.0 +2075,2.0,2.0 +2076,1.0,3.0 +2077,1.0,3.0 +2078,1.0,7.0 +2079,0.0,3.0 +2080,0.0,9.0 +2081,2.0,10.0 +2082,0.0,3.0 +2083,0.0,5.0 +2084,0.0,4.0 +2085,1.0,8.0 +2086,2.0,3.0 +2087,3.0,5.0 +2088,5.0,8.0 +2089,0.0,3.0 +2090,1.0,6.0 +2091,1.0,2.0 +2092,1.0,6.0 +2093,2.0,6.0 +2094,1.0,5.0 +2095,3.0,7.0 +2096,3.0,5.0 +2097,3.0,4.0 +2098,3.0,5.0 +2099,0.0,8.0 +2100,4.0,2.0 diff --git a/SurgeData/N=1000/692-peak+year_c.csv b/SurgeData/692-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/692-peak+year_c.csv rename to SurgeData/692-peak+year_c.csv diff --git a/SurgeData/N=1000/692-peak+year_w.csv b/SurgeData/692-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/692-peak+year_w.csv rename to SurgeData/692-peak+year_w.csv diff --git a/SurgeData/N=1000/692-peak_c.csv b/SurgeData/692-peak_c.csv similarity index 100% rename from SurgeData/N=1000/692-peak_c.csv rename to SurgeData/692-peak_c.csv diff --git a/SurgeData/N=1000/692-peak_w.csv b/SurgeData/692-peak_w.csv similarity index 100% rename from SurgeData/N=1000/692-peak_w.csv rename to SurgeData/692-peak_w.csv diff --git a/SurgeData/N=1000/692-surge_c.csv b/SurgeData/692-surge_c.csv similarity index 100% rename from SurgeData/N=1000/692-surge_c.csv rename to SurgeData/692-surge_c.csv diff --git a/SurgeData/N=1000/692-surge_w.csv b/SurgeData/692-surge_w.csv similarity index 100% rename from SurgeData/N=1000/692-surge_w.csv rename to SurgeData/692-surge_w.csv diff --git a/SurgeData/N=1000/692-time_c.csv b/SurgeData/692-time_c.csv similarity index 100% rename from SurgeData/N=1000/692-time_c.csv rename to SurgeData/692-time_c.csv diff --git a/SurgeData/N=1000/692-time_w.csv b/SurgeData/692-time_w.csv similarity index 100% rename from SurgeData/N=1000/692-time_w.csv rename to SurgeData/692-time_w.csv diff --git a/SurgeData/N=1000/692-waterlevel_c.csv b/SurgeData/692-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/692-waterlevel_c.csv rename to SurgeData/692-waterlevel_c.csv diff --git a/SurgeData/N=1000/692-waterlevel_w.csv b/SurgeData/692-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/692-waterlevel_w.csv rename to SurgeData/692-waterlevel_w.csv diff --git a/SurgeData/693-num_storm.csv b/SurgeData/693-num_storm.csv new file mode 100644 index 00000000..f1741332 --- /dev/null +++ b/SurgeData/693-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,2.0,5.0 +2022,3.0,2.0 +2023,0.0,2.0 +2024,2.0,2.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,1.0,5.0 +2028,1.0,6.0 +2029,3.0,3.0 +2030,2.0,4.0 +2031,2.0,3.0 +2032,0.0,3.0 +2033,2.0,5.0 +2034,2.0,5.0 +2035,0.0,5.0 +2036,0.0,2.0 +2037,2.0,3.0 +2038,2.0,3.0 +2039,3.0,3.0 +2040,1.0,2.0 +2041,2.0,2.0 +2042,2.0,4.0 +2043,3.0,4.0 +2044,2.0,5.0 +2045,0.0,4.0 +2046,3.0,5.0 +2047,3.0,5.0 +2048,2.0,1.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,2.0,6.0 +2052,1.0,2.0 +2053,1.0,0.0 +2054,0.0,4.0 +2055,2.0,3.0 +2056,2.0,5.0 +2057,0.0,9.0 +2058,0.0,5.0 +2059,2.0,4.0 +2060,2.0,7.0 +2061,0.0,7.0 +2062,0.0,4.0 +2063,0.0,6.0 +2064,1.0,3.0 +2065,0.0,8.0 +2066,2.0,2.0 +2067,4.0,6.0 +2068,2.0,2.0 +2069,1.0,3.0 +2070,2.0,6.0 +2071,3.0,8.0 +2072,3.0,4.0 +2073,3.0,6.0 +2074,1.0,3.0 +2075,3.0,3.0 +2076,0.0,3.0 +2077,1.0,6.0 +2078,2.0,4.0 +2079,0.0,6.0 +2080,2.0,2.0 +2081,2.0,5.0 +2082,1.0,3.0 +2083,0.0,4.0 +2084,2.0,5.0 +2085,3.0,1.0 +2086,3.0,10.0 +2087,2.0,1.0 +2088,0.0,4.0 +2089,3.0,6.0 +2090,1.0,6.0 +2091,0.0,5.0 +2092,2.0,2.0 +2093,1.0,1.0 +2094,3.0,1.0 +2095,1.0,3.0 +2096,5.0,3.0 +2097,1.0,10.0 +2098,1.0,2.0 +2099,3.0,6.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/693-peak+year_c.csv b/SurgeData/693-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/693-peak+year_c.csv rename to SurgeData/693-peak+year_c.csv diff --git a/SurgeData/N=1000/693-peak+year_w.csv b/SurgeData/693-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/693-peak+year_w.csv rename to SurgeData/693-peak+year_w.csv diff --git a/SurgeData/N=1000/693-peak_c.csv b/SurgeData/693-peak_c.csv similarity index 100% rename from SurgeData/N=1000/693-peak_c.csv rename to SurgeData/693-peak_c.csv diff --git a/SurgeData/N=1000/693-peak_w.csv b/SurgeData/693-peak_w.csv similarity index 100% rename from SurgeData/N=1000/693-peak_w.csv rename to SurgeData/693-peak_w.csv diff --git a/SurgeData/N=1000/693-surge_c.csv b/SurgeData/693-surge_c.csv similarity index 100% rename from SurgeData/N=1000/693-surge_c.csv rename to SurgeData/693-surge_c.csv diff --git a/SurgeData/N=1000/693-surge_w.csv b/SurgeData/693-surge_w.csv similarity index 100% rename from SurgeData/N=1000/693-surge_w.csv rename to SurgeData/693-surge_w.csv diff --git a/SurgeData/N=1000/693-time_c.csv b/SurgeData/693-time_c.csv similarity index 100% rename from SurgeData/N=1000/693-time_c.csv rename to SurgeData/693-time_c.csv diff --git a/SurgeData/N=1000/693-time_w.csv b/SurgeData/693-time_w.csv similarity index 100% rename from SurgeData/N=1000/693-time_w.csv rename to SurgeData/693-time_w.csv diff --git a/SurgeData/N=1000/693-waterlevel_c.csv b/SurgeData/693-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/693-waterlevel_c.csv rename to SurgeData/693-waterlevel_c.csv diff --git a/SurgeData/N=1000/693-waterlevel_w.csv b/SurgeData/693-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/693-waterlevel_w.csv rename to SurgeData/693-waterlevel_w.csv diff --git a/SurgeData/N=1000/694-peak+year_c.csv b/SurgeData/694-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/694-peak+year_c.csv rename to SurgeData/694-peak+year_c.csv diff --git a/SurgeData/N=1000/694-peak+year_w.csv b/SurgeData/694-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/694-peak+year_w.csv rename to SurgeData/694-peak+year_w.csv diff --git a/SurgeData/N=1000/694-peak_c.csv b/SurgeData/694-peak_c.csv similarity index 100% rename from SurgeData/N=1000/694-peak_c.csv rename to SurgeData/694-peak_c.csv diff --git a/SurgeData/N=1000/694-peak_w.csv b/SurgeData/694-peak_w.csv similarity index 100% rename from SurgeData/N=1000/694-peak_w.csv rename to SurgeData/694-peak_w.csv diff --git a/SurgeData/N=1000/694-surge_c.csv b/SurgeData/694-surge_c.csv similarity index 100% rename from SurgeData/N=1000/694-surge_c.csv rename to SurgeData/694-surge_c.csv diff --git a/SurgeData/N=1000/694-surge_w.csv b/SurgeData/694-surge_w.csv similarity index 100% rename from SurgeData/N=1000/694-surge_w.csv rename to SurgeData/694-surge_w.csv diff --git a/SurgeData/N=1000/694-time_c.csv b/SurgeData/694-time_c.csv similarity index 100% rename from SurgeData/N=1000/694-time_c.csv rename to SurgeData/694-time_c.csv diff --git a/SurgeData/N=1000/694-time_w.csv b/SurgeData/694-time_w.csv similarity index 100% rename from SurgeData/N=1000/694-time_w.csv rename to SurgeData/694-time_w.csv diff --git a/SurgeData/N=1000/694-waterlevel_c.csv b/SurgeData/694-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/694-waterlevel_c.csv rename to SurgeData/694-waterlevel_c.csv diff --git a/SurgeData/N=1000/694-waterlevel_w.csv b/SurgeData/694-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/694-waterlevel_w.csv rename to SurgeData/694-waterlevel_w.csv diff --git a/SurgeData/695-num_storm.csv b/SurgeData/695-num_storm.csv new file mode 100644 index 00000000..040966f6 --- /dev/null +++ b/SurgeData/695-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,7.0 +2022,0.0,3.0 +2023,3.0,2.0 +2024,2.0,4.0 +2025,1.0,2.0 +2026,1.0,9.0 +2027,0.0,3.0 +2028,0.0,6.0 +2029,2.0,7.0 +2030,1.0,6.0 +2031,2.0,1.0 +2032,0.0,4.0 +2033,3.0,2.0 +2034,0.0,5.0 +2035,1.0,4.0 +2036,1.0,5.0 +2037,2.0,5.0 +2038,0.0,4.0 +2039,1.0,5.0 +2040,2.0,3.0 +2041,0.0,4.0 +2042,1.0,4.0 +2043,2.0,3.0 +2044,2.0,3.0 +2045,0.0,3.0 +2046,2.0,3.0 +2047,2.0,5.0 +2048,3.0,3.0 +2049,0.0,6.0 +2050,1.0,3.0 +2051,2.0,5.0 +2052,1.0,3.0 +2053,3.0,6.0 +2054,2.0,3.0 +2055,0.0,5.0 +2056,0.0,7.0 +2057,0.0,4.0 +2058,0.0,5.0 +2059,1.0,3.0 +2060,0.0,4.0 +2061,1.0,2.0 +2062,0.0,2.0 +2063,1.0,2.0 +2064,3.0,5.0 +2065,3.0,6.0 +2066,2.0,9.0 +2067,1.0,5.0 +2068,0.0,3.0 +2069,3.0,2.0 +2070,1.0,8.0 +2071,1.0,4.0 +2072,3.0,9.0 +2073,3.0,5.0 +2074,1.0,6.0 +2075,2.0,1.0 +2076,2.0,4.0 +2077,1.0,1.0 +2078,1.0,5.0 +2079,0.0,1.0 +2080,4.0,5.0 +2081,3.0,4.0 +2082,0.0,2.0 +2083,3.0,6.0 +2084,0.0,2.0 +2085,0.0,3.0 +2086,0.0,3.0 +2087,1.0,2.0 +2088,4.0,3.0 +2089,2.0,4.0 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SurgeData/N=1000/695-surge_c.csv rename to SurgeData/695-surge_c.csv diff --git a/SurgeData/N=1000/695-surge_w.csv b/SurgeData/695-surge_w.csv similarity index 100% rename from SurgeData/N=1000/695-surge_w.csv rename to SurgeData/695-surge_w.csv diff --git a/SurgeData/N=1000/695-time_c.csv b/SurgeData/695-time_c.csv similarity index 100% rename from SurgeData/N=1000/695-time_c.csv rename to SurgeData/695-time_c.csv diff --git a/SurgeData/N=1000/695-time_w.csv b/SurgeData/695-time_w.csv similarity index 100% rename from SurgeData/N=1000/695-time_w.csv rename to SurgeData/695-time_w.csv diff --git a/SurgeData/N=1000/695-waterlevel_c.csv b/SurgeData/695-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/695-waterlevel_c.csv rename to SurgeData/695-waterlevel_c.csv diff --git a/SurgeData/N=1000/695-waterlevel_w.csv b/SurgeData/695-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/695-waterlevel_w.csv rename to SurgeData/695-waterlevel_w.csv diff --git a/SurgeData/696-num_storm.csv b/SurgeData/696-num_storm.csv new file mode 100644 index 00000000..cb9fdd59 --- /dev/null +++ b/SurgeData/696-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,5.0 +2022,1.0,4.0 +2023,2.0,4.0 +2024,1.0,3.0 +2025,0.0,6.0 +2026,0.0,3.0 +2027,0.0,1.0 +2028,1.0,2.0 +2029,0.0,1.0 +2030,0.0,3.0 +2031,2.0,5.0 +2032,4.0,5.0 +2033,0.0,6.0 +2034,1.0,4.0 +2035,3.0,4.0 +2036,0.0,4.0 +2037,3.0,4.0 +2038,0.0,6.0 +2039,0.0,5.0 +2040,0.0,5.0 +2041,6.0,3.0 +2042,0.0,6.0 +2043,1.0,7.0 +2044,2.0,3.0 +2045,0.0,6.0 +2046,0.0,4.0 +2047,1.0,2.0 +2048,1.0,2.0 +2049,0.0,4.0 +2050,1.0,2.0 +2051,1.0,4.0 +2052,1.0,2.0 +2053,2.0,4.0 +2054,4.0,4.0 +2055,2.0,2.0 +2056,0.0,2.0 +2057,0.0,3.0 +2058,1.0,4.0 +2059,3.0,5.0 +2060,3.0,8.0 +2061,1.0,4.0 +2062,1.0,3.0 +2063,1.0,2.0 +2064,0.0,4.0 +2065,4.0,6.0 +2066,2.0,2.0 +2067,1.0,7.0 +2068,0.0,5.0 +2069,3.0,1.0 +2070,1.0,7.0 +2071,1.0,5.0 +2072,2.0,6.0 +2073,0.0,5.0 +2074,1.0,1.0 +2075,2.0,3.0 +2076,4.0,5.0 +2077,8.0,4.0 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SurgeData/N=1000/696-peak_w.csv rename to SurgeData/696-peak_w.csv diff --git a/SurgeData/N=1000/696-surge_c.csv b/SurgeData/696-surge_c.csv similarity index 100% rename from SurgeData/N=1000/696-surge_c.csv rename to SurgeData/696-surge_c.csv diff --git a/SurgeData/N=1000/696-surge_w.csv b/SurgeData/696-surge_w.csv similarity index 100% rename from SurgeData/N=1000/696-surge_w.csv rename to SurgeData/696-surge_w.csv diff --git a/SurgeData/N=1000/696-time_c.csv b/SurgeData/696-time_c.csv similarity index 100% rename from SurgeData/N=1000/696-time_c.csv rename to SurgeData/696-time_c.csv diff --git a/SurgeData/N=1000/696-time_w.csv b/SurgeData/696-time_w.csv similarity index 100% rename from SurgeData/N=1000/696-time_w.csv rename to SurgeData/696-time_w.csv diff --git a/SurgeData/N=1000/696-waterlevel_c.csv b/SurgeData/696-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/696-waterlevel_c.csv rename to SurgeData/696-waterlevel_c.csv diff --git a/SurgeData/N=1000/696-waterlevel_w.csv b/SurgeData/696-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/696-waterlevel_w.csv rename to SurgeData/696-waterlevel_w.csv diff --git a/SurgeData/697-num_storm.csv b/SurgeData/697-num_storm.csv new file mode 100644 index 00000000..1ee48d49 --- /dev/null +++ b/SurgeData/697-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,5.0 +2022,1.0,3.0 +2023,3.0,4.0 +2024,1.0,3.0 +2025,2.0,4.0 +2026,0.0,1.0 +2027,1.0,8.0 +2028,0.0,5.0 +2029,1.0,4.0 +2030,1.0,4.0 +2031,0.0,2.0 +2032,2.0,5.0 +2033,0.0,3.0 +2034,2.0,0.0 +2035,2.0,4.0 +2036,2.0,5.0 +2037,2.0,10.0 +2038,0.0,2.0 +2039,0.0,2.0 +2040,2.0,7.0 +2041,4.0,1.0 +2042,1.0,9.0 +2043,1.0,7.0 +2044,0.0,5.0 +2045,0.0,6.0 +2046,3.0,2.0 +2047,0.0,6.0 +2048,1.0,3.0 +2049,0.0,4.0 +2050,1.0,5.0 +2051,4.0,2.0 +2052,2.0,5.0 +2053,4.0,3.0 +2054,2.0,3.0 +2055,5.0,3.0 +2056,2.0,8.0 +2057,1.0,5.0 +2058,0.0,3.0 +2059,4.0,5.0 +2060,0.0,4.0 +2061,0.0,2.0 +2062,2.0,4.0 +2063,1.0,3.0 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rename from SurgeData/N=1000/697-peak_c.csv rename to SurgeData/697-peak_c.csv diff --git a/SurgeData/N=1000/697-peak_w.csv b/SurgeData/697-peak_w.csv similarity index 100% rename from SurgeData/N=1000/697-peak_w.csv rename to SurgeData/697-peak_w.csv diff --git a/SurgeData/N=1000/697-surge_c.csv b/SurgeData/697-surge_c.csv similarity index 100% rename from SurgeData/N=1000/697-surge_c.csv rename to SurgeData/697-surge_c.csv diff --git a/SurgeData/N=1000/697-surge_w.csv b/SurgeData/697-surge_w.csv similarity index 100% rename from SurgeData/N=1000/697-surge_w.csv rename to SurgeData/697-surge_w.csv diff --git a/SurgeData/N=1000/697-time_c.csv b/SurgeData/697-time_c.csv similarity index 100% rename from SurgeData/N=1000/697-time_c.csv rename to SurgeData/697-time_c.csv diff --git a/SurgeData/N=1000/697-time_w.csv b/SurgeData/697-time_w.csv similarity index 100% rename from SurgeData/N=1000/697-time_w.csv rename to SurgeData/697-time_w.csv diff --git a/SurgeData/N=1000/697-waterlevel_c.csv b/SurgeData/697-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/697-waterlevel_c.csv rename to SurgeData/697-waterlevel_c.csv diff --git a/SurgeData/N=1000/697-waterlevel_w.csv b/SurgeData/697-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/697-waterlevel_w.csv rename to SurgeData/697-waterlevel_w.csv diff --git a/SurgeData/698-num_storm.csv b/SurgeData/698-num_storm.csv new file mode 100644 index 00000000..cacbb592 --- /dev/null +++ b/SurgeData/698-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,6.0 +2022,0.0,5.0 +2023,2.0,6.0 +2024,1.0,1.0 +2025,0.0,3.0 +2026,0.0,8.0 +2027,2.0,3.0 +2028,1.0,5.0 +2029,0.0,2.0 +2030,1.0,2.0 +2031,2.0,5.0 +2032,0.0,6.0 +2033,2.0,5.0 +2034,3.0,4.0 +2035,1.0,4.0 +2036,0.0,5.0 +2037,2.0,3.0 +2038,1.0,3.0 +2039,3.0,1.0 +2040,1.0,2.0 +2041,1.0,5.0 +2042,0.0,4.0 +2043,1.0,2.0 +2044,1.0,7.0 +2045,1.0,3.0 +2046,0.0,2.0 +2047,0.0,5.0 +2048,0.0,1.0 +2049,0.0,0.0 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index 100% rename from SurgeData/N=1000/698-peak+year_w.csv rename to SurgeData/698-peak+year_w.csv diff --git a/SurgeData/N=1000/698-peak_c.csv b/SurgeData/698-peak_c.csv similarity index 100% rename from SurgeData/N=1000/698-peak_c.csv rename to SurgeData/698-peak_c.csv diff --git a/SurgeData/N=1000/698-peak_w.csv b/SurgeData/698-peak_w.csv similarity index 100% rename from SurgeData/N=1000/698-peak_w.csv rename to SurgeData/698-peak_w.csv diff --git a/SurgeData/N=1000/698-surge_c.csv b/SurgeData/698-surge_c.csv similarity index 100% rename from SurgeData/N=1000/698-surge_c.csv rename to SurgeData/698-surge_c.csv diff --git a/SurgeData/N=1000/698-surge_w.csv b/SurgeData/698-surge_w.csv similarity index 100% rename from SurgeData/N=1000/698-surge_w.csv rename to SurgeData/698-surge_w.csv diff --git a/SurgeData/N=1000/698-time_c.csv b/SurgeData/698-time_c.csv similarity index 100% rename from SurgeData/N=1000/698-time_c.csv rename to SurgeData/698-time_c.csv diff --git a/SurgeData/N=1000/698-time_w.csv b/SurgeData/698-time_w.csv similarity index 100% rename from SurgeData/N=1000/698-time_w.csv rename to SurgeData/698-time_w.csv diff --git a/SurgeData/N=1000/698-waterlevel_c.csv b/SurgeData/698-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/698-waterlevel_c.csv rename to SurgeData/698-waterlevel_c.csv diff --git a/SurgeData/N=1000/698-waterlevel_w.csv b/SurgeData/698-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/698-waterlevel_w.csv rename to SurgeData/698-waterlevel_w.csv diff --git a/SurgeData/699-num_storm.csv b/SurgeData/699-num_storm.csv new file mode 100644 index 00000000..c59c3de0 --- /dev/null +++ b/SurgeData/699-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,4.0 +2022,0.0,2.0 +2023,1.0,3.0 +2024,4.0,3.0 +2025,2.0,10.0 +2026,0.0,7.0 +2027,0.0,6.0 +2028,1.0,6.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,1.0,11.0 +2032,1.0,4.0 +2033,1.0,5.0 +2034,2.0,2.0 +2035,3.0,2.0 +2036,0.0,4.0 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rename from SurgeData/N=1000/699-peak+year_c.csv rename to SurgeData/699-peak+year_c.csv diff --git a/SurgeData/N=1000/699-peak+year_w.csv b/SurgeData/699-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/699-peak+year_w.csv rename to SurgeData/699-peak+year_w.csv diff --git a/SurgeData/N=1000/699-peak_c.csv b/SurgeData/699-peak_c.csv similarity index 100% rename from SurgeData/N=1000/699-peak_c.csv rename to SurgeData/699-peak_c.csv diff --git a/SurgeData/N=1000/699-peak_w.csv b/SurgeData/699-peak_w.csv similarity index 100% rename from SurgeData/N=1000/699-peak_w.csv rename to SurgeData/699-peak_w.csv diff --git a/SurgeData/N=1000/699-surge_c.csv b/SurgeData/699-surge_c.csv similarity index 100% rename from SurgeData/N=1000/699-surge_c.csv rename to SurgeData/699-surge_c.csv diff --git a/SurgeData/N=1000/699-surge_w.csv b/SurgeData/699-surge_w.csv similarity index 100% rename from SurgeData/N=1000/699-surge_w.csv rename to SurgeData/699-surge_w.csv diff --git a/SurgeData/N=1000/699-time_c.csv b/SurgeData/699-time_c.csv similarity index 100% rename from SurgeData/N=1000/699-time_c.csv rename to SurgeData/699-time_c.csv diff --git a/SurgeData/N=1000/699-time_w.csv b/SurgeData/699-time_w.csv similarity index 100% rename from SurgeData/N=1000/699-time_w.csv rename to SurgeData/699-time_w.csv diff --git a/SurgeData/N=1000/699-waterlevel_c.csv b/SurgeData/699-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/699-waterlevel_c.csv rename to SurgeData/699-waterlevel_c.csv diff --git a/SurgeData/N=1000/699-waterlevel_w.csv b/SurgeData/699-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/699-waterlevel_w.csv rename to SurgeData/699-waterlevel_w.csv diff --git a/SurgeData/7-num_storm.csv b/SurgeData/7-num_storm.csv new file mode 100644 index 00000000..868399ff --- /dev/null +++ b/SurgeData/7-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,3.0 +2022,2.0,0.0 +2023,0.0,2.0 +2024,3.0,6.0 +2025,2.0,4.0 +2026,2.0,2.0 +2027,2.0,3.0 +2028,2.0,1.0 +2029,0.0,4.0 +2030,0.0,7.0 +2031,0.0,6.0 +2032,1.0,2.0 +2033,3.0,6.0 +2034,0.0,8.0 +2035,1.0,5.0 +2036,2.0,2.0 +2037,2.0,2.0 +2038,2.0,4.0 +2039,0.0,4.0 +2040,0.0,7.0 +2041,2.0,2.0 +2042,2.0,3.0 +2043,1.0,6.0 +2044,1.0,4.0 +2045,1.0,6.0 +2046,0.0,10.0 +2047,1.0,5.0 +2048,2.0,5.0 +2049,2.0,5.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,1.0,6.0 +2053,2.0,3.0 +2054,0.0,5.0 +2055,5.0,7.0 +2056,0.0,7.0 +2057,2.0,1.0 +2058,1.0,7.0 +2059,4.0,2.0 +2060,4.0,6.0 +2061,2.0,3.0 +2062,3.0,5.0 +2063,3.0,5.0 +2064,6.0,8.0 +2065,2.0,3.0 +2066,2.0,5.0 +2067,1.0,1.0 +2068,1.0,3.0 +2069,0.0,3.0 +2070,2.0,6.0 +2071,1.0,6.0 +2072,0.0,4.0 +2073,2.0,6.0 +2074,0.0,5.0 +2075,0.0,3.0 +2076,0.0,2.0 +2077,2.0,5.0 +2078,1.0,6.0 +2079,1.0,3.0 +2080,1.0,4.0 +2081,2.0,4.0 +2082,1.0,4.0 +2083,1.0,5.0 +2084,1.0,5.0 +2085,3.0,3.0 +2086,2.0,3.0 +2087,0.0,5.0 +2088,3.0,2.0 +2089,2.0,5.0 +2090,2.0,6.0 +2091,1.0,6.0 +2092,4.0,4.0 +2093,0.0,4.0 +2094,1.0,6.0 +2095,2.0,4.0 +2096,1.0,5.0 +2097,2.0,5.0 +2098,2.0,2.0 +2099,1.0,5.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/7-peak+year_c.csv b/SurgeData/7-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/7-peak+year_c.csv rename to SurgeData/7-peak+year_c.csv diff --git a/SurgeData/N=1000/7-peak+year_w.csv b/SurgeData/7-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/7-peak+year_w.csv rename to SurgeData/7-peak+year_w.csv diff --git a/SurgeData/N=1000/7-peak_c.csv b/SurgeData/7-peak_c.csv similarity index 100% rename from SurgeData/N=1000/7-peak_c.csv rename to SurgeData/7-peak_c.csv diff --git a/SurgeData/N=1000/7-peak_w.csv b/SurgeData/7-peak_w.csv similarity index 100% rename from SurgeData/N=1000/7-peak_w.csv rename to SurgeData/7-peak_w.csv diff --git a/SurgeData/N=1000/7-surge_c.csv b/SurgeData/7-surge_c.csv similarity index 100% rename from SurgeData/N=1000/7-surge_c.csv rename to SurgeData/7-surge_c.csv diff --git a/SurgeData/N=1000/7-surge_w.csv b/SurgeData/7-surge_w.csv similarity index 100% rename from SurgeData/N=1000/7-surge_w.csv rename to SurgeData/7-surge_w.csv diff --git a/SurgeData/N=1000/7-time_c.csv b/SurgeData/7-time_c.csv similarity index 100% rename from SurgeData/N=1000/7-time_c.csv rename to SurgeData/7-time_c.csv diff --git a/SurgeData/N=1000/7-time_w.csv b/SurgeData/7-time_w.csv similarity index 100% rename from SurgeData/N=1000/7-time_w.csv rename to SurgeData/7-time_w.csv diff --git a/SurgeData/N=1000/7-waterlevel_c.csv b/SurgeData/7-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/7-waterlevel_c.csv rename to SurgeData/7-waterlevel_c.csv diff --git a/SurgeData/N=1000/7-waterlevel_w.csv b/SurgeData/7-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/7-waterlevel_w.csv rename to SurgeData/7-waterlevel_w.csv diff --git a/SurgeData/70-num_storm.csv b/SurgeData/70-num_storm.csv new file mode 100644 index 00000000..fa8c9c80 --- /dev/null +++ b/SurgeData/70-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,1.0,6.0 +2022,1.0,4.0 +2023,2.0,1.0 +2024,2.0,4.0 +2025,1.0,6.0 +2026,3.0,4.0 +2027,1.0,4.0 +2028,1.0,9.0 +2029,2.0,7.0 +2030,0.0,3.0 +2031,0.0,3.0 +2032,0.0,3.0 +2033,1.0,10.0 +2034,2.0,2.0 +2035,2.0,6.0 +2036,0.0,3.0 +2037,0.0,3.0 +2038,1.0,5.0 +2039,2.0,5.0 +2040,0.0,3.0 +2041,1.0,1.0 +2042,1.0,2.0 +2043,1.0,6.0 +2044,2.0,7.0 +2045,1.0,10.0 +2046,0.0,3.0 +2047,2.0,7.0 +2048,0.0,2.0 +2049,6.0,4.0 +2050,1.0,1.0 +2051,0.0,6.0 +2052,1.0,3.0 +2053,3.0,5.0 +2054,2.0,3.0 +2055,5.0,4.0 +2056,1.0,4.0 +2057,1.0,6.0 +2058,2.0,4.0 +2059,2.0,5.0 +2060,1.0,7.0 +2061,0.0,4.0 +2062,2.0,4.0 +2063,0.0,8.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,5.0,5.0 +2067,1.0,3.0 +2068,1.0,5.0 +2069,1.0,4.0 +2070,1.0,4.0 +2071,3.0,5.0 +2072,0.0,4.0 +2073,1.0,8.0 +2074,1.0,4.0 +2075,2.0,2.0 +2076,0.0,7.0 +2077,1.0,5.0 +2078,1.0,3.0 +2079,3.0,3.0 +2080,4.0,3.0 +2081,0.0,2.0 +2082,3.0,4.0 +2083,2.0,3.0 +2084,2.0,4.0 +2085,1.0,5.0 +2086,1.0,5.0 +2087,1.0,3.0 +2088,0.0,4.0 +2089,0.0,3.0 +2090,1.0,6.0 +2091,3.0,2.0 +2092,2.0,4.0 +2093,1.0,3.0 +2094,1.0,5.0 +2095,2.0,7.0 +2096,2.0,3.0 +2097,0.0,3.0 +2098,2.0,6.0 +2099,0.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/70-peak+year_c.csv b/SurgeData/70-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/70-peak+year_c.csv rename to SurgeData/70-peak+year_c.csv diff --git a/SurgeData/N=1000/70-peak+year_w.csv b/SurgeData/70-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/70-peak+year_w.csv rename to SurgeData/70-peak+year_w.csv diff --git a/SurgeData/N=1000/70-peak_c.csv b/SurgeData/70-peak_c.csv similarity index 100% rename from SurgeData/N=1000/70-peak_c.csv rename to SurgeData/70-peak_c.csv diff --git a/SurgeData/N=1000/70-peak_w.csv b/SurgeData/70-peak_w.csv similarity index 100% rename from SurgeData/N=1000/70-peak_w.csv rename to SurgeData/70-peak_w.csv diff --git a/SurgeData/N=1000/70-surge_c.csv b/SurgeData/70-surge_c.csv similarity index 100% rename from SurgeData/N=1000/70-surge_c.csv rename to SurgeData/70-surge_c.csv diff --git a/SurgeData/N=1000/70-surge_w.csv b/SurgeData/70-surge_w.csv similarity index 100% rename from SurgeData/N=1000/70-surge_w.csv rename to SurgeData/70-surge_w.csv diff --git a/SurgeData/N=1000/70-time_c.csv b/SurgeData/70-time_c.csv similarity index 100% rename from SurgeData/N=1000/70-time_c.csv rename to SurgeData/70-time_c.csv diff --git a/SurgeData/N=1000/70-time_w.csv b/SurgeData/70-time_w.csv similarity index 100% rename from SurgeData/N=1000/70-time_w.csv rename to SurgeData/70-time_w.csv diff --git a/SurgeData/N=1000/70-waterlevel_c.csv b/SurgeData/70-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/70-waterlevel_c.csv rename to SurgeData/70-waterlevel_c.csv diff --git a/SurgeData/N=1000/70-waterlevel_w.csv b/SurgeData/70-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/70-waterlevel_w.csv rename to SurgeData/70-waterlevel_w.csv diff --git a/SurgeData/700-num_storm.csv b/SurgeData/700-num_storm.csv new file mode 100644 index 00000000..983cc57e --- /dev/null +++ b/SurgeData/700-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,8.0 +2022,2.0,8.0 +2023,0.0,12.0 +2024,2.0,9.0 +2025,0.0,4.0 +2026,1.0,6.0 +2027,1.0,4.0 +2028,0.0,4.0 +2029,1.0,3.0 +2030,3.0,4.0 +2031,0.0,5.0 +2032,2.0,1.0 +2033,1.0,1.0 +2034,2.0,9.0 +2035,4.0,4.0 +2036,0.0,4.0 +2037,1.0,6.0 +2038,0.0,3.0 +2039,3.0,4.0 +2040,0.0,4.0 +2041,1.0,5.0 +2042,1.0,3.0 +2043,0.0,1.0 +2044,0.0,4.0 +2045,3.0,6.0 +2046,2.0,6.0 +2047,3.0,6.0 +2048,1.0,3.0 +2049,3.0,2.0 +2050,1.0,4.0 +2051,2.0,5.0 +2052,0.0,1.0 +2053,1.0,5.0 +2054,2.0,4.0 +2055,3.0,5.0 +2056,1.0,5.0 +2057,1.0,5.0 +2058,1.0,3.0 +2059,0.0,2.0 +2060,1.0,2.0 +2061,0.0,3.0 +2062,1.0,7.0 +2063,1.0,2.0 +2064,0.0,2.0 +2065,4.0,5.0 +2066,3.0,4.0 +2067,2.0,5.0 +2068,1.0,7.0 +2069,2.0,3.0 +2070,0.0,2.0 +2071,1.0,4.0 +2072,0.0,5.0 +2073,0.0,5.0 +2074,2.0,3.0 +2075,1.0,2.0 +2076,1.0,5.0 +2077,1.0,2.0 +2078,0.0,3.0 +2079,2.0,5.0 +2080,2.0,3.0 +2081,1.0,3.0 +2082,2.0,3.0 +2083,3.0,7.0 +2084,0.0,4.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,2.0,5.0 +2088,0.0,9.0 +2089,1.0,6.0 +2090,0.0,2.0 +2091,0.0,8.0 +2092,2.0,9.0 +2093,1.0,3.0 +2094,3.0,6.0 +2095,2.0,4.0 +2096,2.0,6.0 +2097,4.0,10.0 +2098,2.0,7.0 +2099,0.0,5.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/700-peak+year_c.csv b/SurgeData/700-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/700-peak+year_c.csv rename to SurgeData/700-peak+year_c.csv diff --git a/SurgeData/N=1000/700-peak+year_w.csv b/SurgeData/700-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/700-peak+year_w.csv rename to SurgeData/700-peak+year_w.csv diff --git a/SurgeData/N=1000/700-peak_c.csv b/SurgeData/700-peak_c.csv similarity index 100% rename from SurgeData/N=1000/700-peak_c.csv rename to SurgeData/700-peak_c.csv diff --git a/SurgeData/N=1000/700-peak_w.csv b/SurgeData/700-peak_w.csv similarity index 100% rename from SurgeData/N=1000/700-peak_w.csv rename to SurgeData/700-peak_w.csv diff --git a/SurgeData/N=1000/700-surge_c.csv b/SurgeData/700-surge_c.csv similarity index 100% rename from SurgeData/N=1000/700-surge_c.csv rename to SurgeData/700-surge_c.csv diff --git a/SurgeData/N=1000/700-surge_w.csv b/SurgeData/700-surge_w.csv similarity index 100% rename from SurgeData/N=1000/700-surge_w.csv rename to SurgeData/700-surge_w.csv diff --git a/SurgeData/N=1000/700-time_c.csv b/SurgeData/700-time_c.csv similarity index 100% rename from SurgeData/N=1000/700-time_c.csv rename to SurgeData/700-time_c.csv diff --git a/SurgeData/N=1000/700-time_w.csv b/SurgeData/700-time_w.csv similarity index 100% rename from SurgeData/N=1000/700-time_w.csv rename to SurgeData/700-time_w.csv diff --git a/SurgeData/N=1000/700-waterlevel_c.csv b/SurgeData/700-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/700-waterlevel_c.csv rename to SurgeData/700-waterlevel_c.csv diff --git a/SurgeData/N=1000/700-waterlevel_w.csv b/SurgeData/700-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/700-waterlevel_w.csv rename to SurgeData/700-waterlevel_w.csv diff --git a/SurgeData/N=1000/701-peak+year_c.csv b/SurgeData/701-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/701-peak+year_c.csv rename to SurgeData/701-peak+year_c.csv diff --git a/SurgeData/N=1000/701-peak+year_w.csv b/SurgeData/701-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/701-peak+year_w.csv rename to SurgeData/701-peak+year_w.csv diff --git a/SurgeData/N=1000/701-peak_c.csv b/SurgeData/701-peak_c.csv similarity index 100% rename from SurgeData/N=1000/701-peak_c.csv rename to SurgeData/701-peak_c.csv diff --git a/SurgeData/N=1000/701-peak_w.csv b/SurgeData/701-peak_w.csv similarity index 100% rename from SurgeData/N=1000/701-peak_w.csv rename to SurgeData/701-peak_w.csv diff --git a/SurgeData/N=1000/701-surge_c.csv b/SurgeData/701-surge_c.csv similarity index 100% rename from SurgeData/N=1000/701-surge_c.csv rename to SurgeData/701-surge_c.csv diff --git a/SurgeData/N=1000/701-surge_w.csv b/SurgeData/701-surge_w.csv similarity index 100% rename from SurgeData/N=1000/701-surge_w.csv rename to SurgeData/701-surge_w.csv diff --git a/SurgeData/N=1000/701-time_c.csv b/SurgeData/701-time_c.csv similarity index 100% rename from SurgeData/N=1000/701-time_c.csv rename to SurgeData/701-time_c.csv diff --git a/SurgeData/N=1000/701-time_w.csv b/SurgeData/701-time_w.csv similarity index 100% rename from SurgeData/N=1000/701-time_w.csv rename to SurgeData/701-time_w.csv diff --git a/SurgeData/N=1000/701-waterlevel_c.csv b/SurgeData/701-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/701-waterlevel_c.csv rename to SurgeData/701-waterlevel_c.csv diff --git a/SurgeData/N=1000/701-waterlevel_w.csv b/SurgeData/701-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/701-waterlevel_w.csv rename to SurgeData/701-waterlevel_w.csv diff --git a/SurgeData/N=1000/702-peak+year_c.csv b/SurgeData/702-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/702-peak+year_c.csv rename to SurgeData/702-peak+year_c.csv diff --git a/SurgeData/N=1000/702-peak+year_w.csv b/SurgeData/702-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/702-peak+year_w.csv rename to SurgeData/702-peak+year_w.csv diff --git a/SurgeData/N=1000/702-peak_c.csv b/SurgeData/702-peak_c.csv similarity index 100% rename from SurgeData/N=1000/702-peak_c.csv rename to SurgeData/702-peak_c.csv diff --git a/SurgeData/N=1000/702-peak_w.csv b/SurgeData/702-peak_w.csv similarity index 100% rename from SurgeData/N=1000/702-peak_w.csv rename to SurgeData/702-peak_w.csv diff --git a/SurgeData/N=1000/702-surge_c.csv b/SurgeData/702-surge_c.csv similarity index 100% rename from SurgeData/N=1000/702-surge_c.csv rename to SurgeData/702-surge_c.csv diff --git a/SurgeData/N=1000/702-surge_w.csv b/SurgeData/702-surge_w.csv similarity index 100% rename from SurgeData/N=1000/702-surge_w.csv rename to SurgeData/702-surge_w.csv diff --git a/SurgeData/N=1000/702-time_c.csv b/SurgeData/702-time_c.csv similarity index 100% rename from SurgeData/N=1000/702-time_c.csv rename to SurgeData/702-time_c.csv diff --git a/SurgeData/N=1000/702-time_w.csv b/SurgeData/702-time_w.csv similarity index 100% rename from SurgeData/N=1000/702-time_w.csv rename to SurgeData/702-time_w.csv diff --git a/SurgeData/N=1000/702-waterlevel_c.csv b/SurgeData/702-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/702-waterlevel_c.csv rename to SurgeData/702-waterlevel_c.csv diff --git a/SurgeData/N=1000/702-waterlevel_w.csv b/SurgeData/702-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/702-waterlevel_w.csv rename to SurgeData/702-waterlevel_w.csv diff --git a/SurgeData/N=1000/703-peak+year_c.csv b/SurgeData/703-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/703-peak+year_c.csv rename to SurgeData/703-peak+year_c.csv diff --git a/SurgeData/N=1000/703-peak+year_w.csv b/SurgeData/703-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/703-peak+year_w.csv rename to SurgeData/703-peak+year_w.csv diff --git a/SurgeData/N=1000/703-peak_c.csv b/SurgeData/703-peak_c.csv similarity index 100% rename from SurgeData/N=1000/703-peak_c.csv rename to SurgeData/703-peak_c.csv diff --git a/SurgeData/N=1000/703-peak_w.csv b/SurgeData/703-peak_w.csv similarity index 100% rename from SurgeData/N=1000/703-peak_w.csv rename to SurgeData/703-peak_w.csv diff --git a/SurgeData/N=1000/703-surge_c.csv b/SurgeData/703-surge_c.csv similarity index 100% rename from SurgeData/N=1000/703-surge_c.csv rename to SurgeData/703-surge_c.csv diff --git a/SurgeData/N=1000/703-surge_w.csv b/SurgeData/703-surge_w.csv similarity index 100% rename from SurgeData/N=1000/703-surge_w.csv rename to SurgeData/703-surge_w.csv diff --git a/SurgeData/N=1000/703-time_c.csv b/SurgeData/703-time_c.csv similarity index 100% rename from SurgeData/N=1000/703-time_c.csv rename to SurgeData/703-time_c.csv diff --git a/SurgeData/N=1000/703-time_w.csv b/SurgeData/703-time_w.csv similarity index 100% rename from SurgeData/N=1000/703-time_w.csv rename to SurgeData/703-time_w.csv diff --git a/SurgeData/N=1000/703-waterlevel_c.csv b/SurgeData/703-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/703-waterlevel_c.csv rename to SurgeData/703-waterlevel_c.csv diff --git a/SurgeData/N=1000/703-waterlevel_w.csv b/SurgeData/703-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/703-waterlevel_w.csv rename to SurgeData/703-waterlevel_w.csv diff --git a/SurgeData/704-num_storm.csv b/SurgeData/704-num_storm.csv new file mode 100644 index 00000000..971640b8 --- /dev/null +++ b/SurgeData/704-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,3.0 +2022,1.0,4.0 +2023,1.0,9.0 +2024,2.0,5.0 +2025,2.0,5.0 +2026,3.0,7.0 +2027,3.0,5.0 +2028,1.0,2.0 +2029,4.0,2.0 +2030,1.0,3.0 +2031,1.0,6.0 +2032,1.0,4.0 +2033,0.0,2.0 +2034,2.0,2.0 +2035,2.0,3.0 +2036,2.0,5.0 +2037,2.0,6.0 +2038,1.0,5.0 +2039,1.0,5.0 +2040,1.0,8.0 +2041,1.0,5.0 +2042,2.0,5.0 +2043,3.0,5.0 +2044,0.0,6.0 +2045,1.0,5.0 +2046,1.0,6.0 +2047,0.0,6.0 +2048,3.0,4.0 +2049,0.0,8.0 +2050,4.0,4.0 +2051,2.0,0.0 +2052,4.0,1.0 +2053,2.0,5.0 +2054,0.0,4.0 +2055,3.0,2.0 +2056,1.0,6.0 +2057,0.0,5.0 +2058,0.0,2.0 +2059,3.0,0.0 +2060,1.0,5.0 +2061,1.0,6.0 +2062,3.0,11.0 +2063,0.0,6.0 +2064,3.0,6.0 +2065,1.0,7.0 +2066,2.0,2.0 +2067,1.0,10.0 +2068,4.0,3.0 +2069,1.0,2.0 +2070,0.0,6.0 +2071,1.0,6.0 +2072,0.0,7.0 +2073,2.0,7.0 +2074,2.0,3.0 +2075,2.0,4.0 +2076,0.0,6.0 +2077,1.0,2.0 +2078,1.0,3.0 +2079,2.0,5.0 +2080,1.0,2.0 +2081,1.0,6.0 +2082,2.0,1.0 +2083,1.0,2.0 +2084,2.0,4.0 +2085,4.0,8.0 +2086,3.0,4.0 +2087,4.0,5.0 +2088,0.0,8.0 +2089,1.0,3.0 +2090,2.0,6.0 +2091,3.0,5.0 +2092,1.0,4.0 +2093,5.0,3.0 +2094,1.0,3.0 +2095,1.0,10.0 +2096,0.0,4.0 +2097,1.0,5.0 +2098,1.0,2.0 +2099,0.0,4.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/704-peak+year_c.csv b/SurgeData/704-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/704-peak+year_c.csv rename to SurgeData/704-peak+year_c.csv diff --git a/SurgeData/N=1000/704-peak+year_w.csv b/SurgeData/704-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/704-peak+year_w.csv rename to SurgeData/704-peak+year_w.csv diff --git a/SurgeData/N=1000/704-peak_c.csv b/SurgeData/704-peak_c.csv similarity index 100% rename from SurgeData/N=1000/704-peak_c.csv rename to SurgeData/704-peak_c.csv diff --git a/SurgeData/N=1000/704-peak_w.csv b/SurgeData/704-peak_w.csv similarity index 100% rename from SurgeData/N=1000/704-peak_w.csv rename to SurgeData/704-peak_w.csv diff --git a/SurgeData/N=1000/704-surge_c.csv b/SurgeData/704-surge_c.csv similarity index 100% rename from SurgeData/N=1000/704-surge_c.csv rename to SurgeData/704-surge_c.csv diff --git a/SurgeData/N=1000/704-surge_w.csv b/SurgeData/704-surge_w.csv similarity index 100% rename from SurgeData/N=1000/704-surge_w.csv rename to SurgeData/704-surge_w.csv diff --git a/SurgeData/N=1000/704-time_c.csv b/SurgeData/704-time_c.csv similarity index 100% rename from SurgeData/N=1000/704-time_c.csv rename to SurgeData/704-time_c.csv diff --git a/SurgeData/N=1000/704-time_w.csv b/SurgeData/704-time_w.csv similarity index 100% rename from SurgeData/N=1000/704-time_w.csv rename to SurgeData/704-time_w.csv diff --git a/SurgeData/N=1000/704-waterlevel_c.csv b/SurgeData/704-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/704-waterlevel_c.csv rename to SurgeData/704-waterlevel_c.csv diff --git a/SurgeData/N=1000/704-waterlevel_w.csv b/SurgeData/704-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/704-waterlevel_w.csv rename to SurgeData/704-waterlevel_w.csv diff --git a/SurgeData/705-num_storm.csv b/SurgeData/705-num_storm.csv new file mode 100644 index 00000000..ec04caee --- /dev/null +++ b/SurgeData/705-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,5.0 +2022,1.0,4.0 +2023,1.0,6.0 +2024,1.0,2.0 +2025,2.0,2.0 +2026,1.0,4.0 +2027,0.0,5.0 +2028,0.0,7.0 +2029,2.0,5.0 +2030,3.0,7.0 +2031,2.0,3.0 +2032,2.0,4.0 +2033,3.0,1.0 +2034,1.0,7.0 +2035,2.0,5.0 +2036,3.0,4.0 +2037,2.0,10.0 +2038,2.0,4.0 +2039,2.0,6.0 +2040,1.0,5.0 +2041,1.0,6.0 +2042,2.0,6.0 +2043,2.0,5.0 +2044,1.0,5.0 +2045,2.0,0.0 +2046,1.0,5.0 +2047,3.0,4.0 +2048,0.0,8.0 +2049,0.0,4.0 +2050,1.0,5.0 +2051,0.0,2.0 +2052,1.0,5.0 +2053,1.0,3.0 +2054,1.0,5.0 +2055,4.0,2.0 +2056,5.0,2.0 +2057,1.0,3.0 +2058,0.0,3.0 +2059,3.0,4.0 +2060,2.0,5.0 +2061,2.0,6.0 +2062,0.0,4.0 +2063,2.0,3.0 +2064,3.0,3.0 +2065,0.0,7.0 +2066,1.0,6.0 +2067,1.0,3.0 +2068,0.0,2.0 +2069,1.0,2.0 +2070,1.0,2.0 +2071,2.0,7.0 +2072,1.0,6.0 +2073,1.0,2.0 +2074,1.0,6.0 +2075,0.0,2.0 +2076,1.0,0.0 +2077,2.0,2.0 +2078,1.0,5.0 +2079,2.0,8.0 +2080,1.0,5.0 +2081,0.0,3.0 +2082,1.0,4.0 +2083,2.0,6.0 +2084,2.0,3.0 +2085,1.0,4.0 +2086,1.0,5.0 +2087,1.0,5.0 +2088,3.0,2.0 +2089,3.0,2.0 +2090,4.0,1.0 +2091,1.0,5.0 +2092,2.0,6.0 +2093,2.0,6.0 +2094,0.0,6.0 +2095,2.0,4.0 +2096,1.0,1.0 +2097,1.0,5.0 +2098,1.0,2.0 +2099,1.0,3.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/705-peak+year_c.csv b/SurgeData/705-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/705-peak+year_c.csv rename to SurgeData/705-peak+year_c.csv diff --git a/SurgeData/N=1000/705-peak+year_w.csv b/SurgeData/705-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/705-peak+year_w.csv rename to SurgeData/705-peak+year_w.csv diff --git a/SurgeData/N=1000/705-peak_c.csv b/SurgeData/705-peak_c.csv similarity index 100% rename from SurgeData/N=1000/705-peak_c.csv rename to SurgeData/705-peak_c.csv diff --git a/SurgeData/N=1000/705-peak_w.csv b/SurgeData/705-peak_w.csv similarity index 100% rename from SurgeData/N=1000/705-peak_w.csv rename to SurgeData/705-peak_w.csv diff --git a/SurgeData/N=1000/705-surge_c.csv b/SurgeData/705-surge_c.csv similarity index 100% rename from SurgeData/N=1000/705-surge_c.csv rename to SurgeData/705-surge_c.csv diff --git a/SurgeData/N=1000/705-surge_w.csv b/SurgeData/705-surge_w.csv similarity index 100% rename from SurgeData/N=1000/705-surge_w.csv rename to SurgeData/705-surge_w.csv diff --git a/SurgeData/N=1000/705-time_c.csv b/SurgeData/705-time_c.csv similarity index 100% rename from SurgeData/N=1000/705-time_c.csv rename to SurgeData/705-time_c.csv diff --git a/SurgeData/N=1000/705-time_w.csv b/SurgeData/705-time_w.csv similarity index 100% rename from SurgeData/N=1000/705-time_w.csv rename to SurgeData/705-time_w.csv diff --git a/SurgeData/N=1000/705-waterlevel_c.csv b/SurgeData/705-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/705-waterlevel_c.csv rename to SurgeData/705-waterlevel_c.csv diff --git a/SurgeData/N=1000/705-waterlevel_w.csv b/SurgeData/705-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/705-waterlevel_w.csv rename to SurgeData/705-waterlevel_w.csv diff --git a/SurgeData/706-num_storm.csv b/SurgeData/706-num_storm.csv new file mode 100644 index 00000000..03690a01 --- /dev/null +++ b/SurgeData/706-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,2.0 +2022,0.0,6.0 +2023,2.0,6.0 +2024,0.0,4.0 +2025,2.0,3.0 +2026,1.0,3.0 +2027,3.0,2.0 +2028,0.0,3.0 +2029,1.0,2.0 +2030,2.0,6.0 +2031,4.0,4.0 +2032,3.0,5.0 +2033,0.0,5.0 +2034,0.0,3.0 +2035,0.0,1.0 +2036,3.0,4.0 +2037,2.0,3.0 +2038,1.0,3.0 +2039,3.0,7.0 +2040,3.0,4.0 +2041,3.0,8.0 +2042,1.0,10.0 +2043,4.0,4.0 +2044,0.0,1.0 +2045,4.0,3.0 +2046,0.0,4.0 +2047,4.0,4.0 +2048,1.0,3.0 +2049,1.0,2.0 +2050,1.0,5.0 +2051,4.0,3.0 +2052,2.0,4.0 +2053,2.0,6.0 +2054,1.0,4.0 +2055,0.0,4.0 +2056,3.0,2.0 +2057,0.0,6.0 +2058,0.0,4.0 +2059,0.0,2.0 +2060,3.0,4.0 +2061,0.0,3.0 +2062,2.0,2.0 +2063,3.0,2.0 +2064,1.0,1.0 +2065,0.0,5.0 +2066,0.0,7.0 +2067,0.0,3.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,0.0,4.0 +2071,0.0,3.0 +2072,2.0,6.0 +2073,1.0,6.0 +2074,1.0,6.0 +2075,1.0,5.0 +2076,1.0,3.0 +2077,2.0,2.0 +2078,2.0,6.0 +2079,5.0,4.0 +2080,2.0,3.0 +2081,2.0,5.0 +2082,0.0,4.0 +2083,1.0,2.0 +2084,1.0,4.0 +2085,2.0,2.0 +2086,1.0,3.0 +2087,1.0,5.0 +2088,1.0,6.0 +2089,1.0,6.0 +2090,2.0,3.0 +2091,3.0,6.0 +2092,0.0,4.0 +2093,0.0,4.0 +2094,0.0,8.0 +2095,0.0,7.0 +2096,2.0,3.0 +2097,2.0,6.0 +2098,3.0,3.0 +2099,2.0,6.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/706-peak+year_c.csv b/SurgeData/706-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/706-peak+year_c.csv rename to SurgeData/706-peak+year_c.csv diff --git a/SurgeData/N=1000/706-peak+year_w.csv b/SurgeData/706-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/706-peak+year_w.csv rename to SurgeData/706-peak+year_w.csv diff --git a/SurgeData/N=1000/706-peak_c.csv b/SurgeData/706-peak_c.csv similarity index 100% rename from SurgeData/N=1000/706-peak_c.csv rename to SurgeData/706-peak_c.csv diff --git a/SurgeData/N=1000/706-peak_w.csv b/SurgeData/706-peak_w.csv similarity index 100% rename from SurgeData/N=1000/706-peak_w.csv rename to SurgeData/706-peak_w.csv diff --git a/SurgeData/N=1000/706-surge_c.csv b/SurgeData/706-surge_c.csv similarity index 100% rename from SurgeData/N=1000/706-surge_c.csv rename to SurgeData/706-surge_c.csv diff --git a/SurgeData/N=1000/706-surge_w.csv b/SurgeData/706-surge_w.csv similarity index 100% rename from SurgeData/N=1000/706-surge_w.csv rename to SurgeData/706-surge_w.csv diff --git a/SurgeData/N=1000/706-time_c.csv b/SurgeData/706-time_c.csv similarity index 100% rename from SurgeData/N=1000/706-time_c.csv rename to SurgeData/706-time_c.csv diff --git a/SurgeData/N=1000/706-time_w.csv b/SurgeData/706-time_w.csv similarity index 100% rename from SurgeData/N=1000/706-time_w.csv rename to SurgeData/706-time_w.csv diff --git a/SurgeData/N=1000/706-waterlevel_c.csv b/SurgeData/706-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/706-waterlevel_c.csv rename to SurgeData/706-waterlevel_c.csv diff --git a/SurgeData/N=1000/706-waterlevel_w.csv b/SurgeData/706-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/706-waterlevel_w.csv rename to SurgeData/706-waterlevel_w.csv diff --git a/SurgeData/707-num_storm.csv b/SurgeData/707-num_storm.csv new file mode 100644 index 00000000..aac75979 --- /dev/null +++ b/SurgeData/707-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,3.0 +2022,2.0,1.0 +2023,3.0,5.0 +2024,3.0,3.0 +2025,1.0,3.0 +2026,1.0,4.0 +2027,1.0,0.0 +2028,2.0,4.0 +2029,0.0,3.0 +2030,2.0,3.0 +2031,1.0,6.0 +2032,5.0,0.0 +2033,1.0,0.0 +2034,3.0,4.0 +2035,2.0,8.0 +2036,0.0,3.0 +2037,1.0,5.0 +2038,2.0,2.0 +2039,1.0,2.0 +2040,1.0,4.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,1.0,8.0 +2044,0.0,5.0 +2045,1.0,4.0 +2046,1.0,8.0 +2047,3.0,3.0 +2048,2.0,3.0 +2049,2.0,7.0 +2050,2.0,1.0 +2051,2.0,4.0 +2052,5.0,2.0 +2053,1.0,10.0 +2054,1.0,7.0 +2055,1.0,2.0 +2056,1.0,5.0 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SurgeData/707-peak+year_w.csv diff --git a/SurgeData/N=1000/707-peak_c.csv b/SurgeData/707-peak_c.csv similarity index 100% rename from SurgeData/N=1000/707-peak_c.csv rename to SurgeData/707-peak_c.csv diff --git a/SurgeData/N=1000/707-peak_w.csv b/SurgeData/707-peak_w.csv similarity index 100% rename from SurgeData/N=1000/707-peak_w.csv rename to SurgeData/707-peak_w.csv diff --git a/SurgeData/N=1000/707-surge_c.csv b/SurgeData/707-surge_c.csv similarity index 100% rename from SurgeData/N=1000/707-surge_c.csv rename to SurgeData/707-surge_c.csv diff --git a/SurgeData/N=1000/707-surge_w.csv b/SurgeData/707-surge_w.csv similarity index 100% rename from SurgeData/N=1000/707-surge_w.csv rename to SurgeData/707-surge_w.csv diff --git a/SurgeData/N=1000/707-time_c.csv b/SurgeData/707-time_c.csv similarity index 100% rename from SurgeData/N=1000/707-time_c.csv rename to SurgeData/707-time_c.csv diff --git a/SurgeData/N=1000/707-time_w.csv b/SurgeData/707-time_w.csv similarity index 100% rename from SurgeData/N=1000/707-time_w.csv rename to SurgeData/707-time_w.csv diff --git a/SurgeData/N=1000/707-waterlevel_c.csv b/SurgeData/707-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/707-waterlevel_c.csv rename to SurgeData/707-waterlevel_c.csv diff --git a/SurgeData/N=1000/707-waterlevel_w.csv b/SurgeData/707-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/707-waterlevel_w.csv rename to SurgeData/707-waterlevel_w.csv diff --git a/SurgeData/708-num_storm.csv b/SurgeData/708-num_storm.csv new file mode 100644 index 00000000..dfe0c47a --- /dev/null +++ b/SurgeData/708-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,3.0,8.0 +2022,0.0,4.0 +2023,2.0,2.0 +2024,2.0,2.0 +2025,2.0,4.0 +2026,2.0,1.0 +2027,2.0,6.0 +2028,1.0,10.0 +2029,1.0,5.0 +2030,3.0,6.0 +2031,2.0,7.0 +2032,0.0,3.0 +2033,1.0,2.0 +2034,3.0,3.0 +2035,1.0,4.0 +2036,2.0,5.0 +2037,1.0,7.0 +2038,3.0,5.0 +2039,4.0,4.0 +2040,2.0,3.0 +2041,2.0,5.0 +2042,3.0,5.0 +2043,0.0,4.0 +2044,2.0,2.0 +2045,2.0,3.0 +2046,3.0,2.0 +2047,1.0,2.0 +2048,0.0,7.0 +2049,0.0,6.0 +2050,1.0,6.0 +2051,1.0,6.0 +2052,2.0,6.0 +2053,2.0,3.0 +2054,1.0,3.0 +2055,0.0,4.0 +2056,0.0,4.0 +2057,2.0,2.0 +2058,2.0,4.0 +2059,2.0,4.0 +2060,1.0,3.0 +2061,1.0,2.0 +2062,1.0,3.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,2.0,2.0 +2066,3.0,5.0 +2067,0.0,4.0 +2068,0.0,2.0 +2069,0.0,5.0 +2070,0.0,3.0 +2071,1.0,5.0 +2072,3.0,5.0 +2073,3.0,3.0 +2074,1.0,1.0 +2075,0.0,4.0 +2076,2.0,4.0 +2077,0.0,6.0 +2078,0.0,3.0 +2079,2.0,2.0 +2080,0.0,5.0 +2081,0.0,3.0 +2082,2.0,2.0 +2083,1.0,4.0 +2084,1.0,2.0 +2085,2.0,4.0 +2086,0.0,3.0 +2087,1.0,3.0 +2088,3.0,6.0 +2089,1.0,1.0 +2090,2.0,5.0 +2091,0.0,6.0 +2092,2.0,3.0 +2093,2.0,6.0 +2094,0.0,3.0 +2095,2.0,2.0 +2096,0.0,4.0 +2097,1.0,5.0 +2098,1.0,4.0 +2099,0.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/708-peak+year_c.csv b/SurgeData/708-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/708-peak+year_c.csv rename to SurgeData/708-peak+year_c.csv diff --git a/SurgeData/N=1000/708-peak+year_w.csv b/SurgeData/708-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/708-peak+year_w.csv rename to SurgeData/708-peak+year_w.csv diff --git a/SurgeData/N=1000/708-peak_c.csv b/SurgeData/708-peak_c.csv similarity index 100% rename from SurgeData/N=1000/708-peak_c.csv rename to SurgeData/708-peak_c.csv diff --git a/SurgeData/N=1000/708-peak_w.csv b/SurgeData/708-peak_w.csv similarity index 100% rename from SurgeData/N=1000/708-peak_w.csv rename to SurgeData/708-peak_w.csv diff --git a/SurgeData/N=1000/708-surge_c.csv b/SurgeData/708-surge_c.csv similarity index 100% rename from SurgeData/N=1000/708-surge_c.csv rename to SurgeData/708-surge_c.csv diff --git a/SurgeData/N=1000/708-surge_w.csv b/SurgeData/708-surge_w.csv similarity index 100% rename from SurgeData/N=1000/708-surge_w.csv rename to SurgeData/708-surge_w.csv diff --git a/SurgeData/N=1000/708-time_c.csv b/SurgeData/708-time_c.csv similarity index 100% rename from SurgeData/N=1000/708-time_c.csv rename to SurgeData/708-time_c.csv diff --git a/SurgeData/N=1000/708-time_w.csv b/SurgeData/708-time_w.csv similarity index 100% rename from SurgeData/N=1000/708-time_w.csv rename to SurgeData/708-time_w.csv diff --git a/SurgeData/N=1000/708-waterlevel_c.csv b/SurgeData/708-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/708-waterlevel_c.csv rename to SurgeData/708-waterlevel_c.csv diff --git a/SurgeData/N=1000/708-waterlevel_w.csv b/SurgeData/708-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/708-waterlevel_w.csv rename to SurgeData/708-waterlevel_w.csv diff --git a/SurgeData/709-num_storm.csv b/SurgeData/709-num_storm.csv new file mode 100644 index 00000000..ececce64 --- /dev/null +++ b/SurgeData/709-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,3.0,6.0 +2022,2.0,7.0 +2023,4.0,4.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,1.0,3.0 +2027,1.0,4.0 +2028,1.0,5.0 +2029,1.0,4.0 +2030,1.0,6.0 +2031,3.0,5.0 +2032,2.0,6.0 +2033,2.0,3.0 +2034,2.0,3.0 +2035,4.0,2.0 +2036,2.0,3.0 +2037,2.0,4.0 +2038,0.0,5.0 +2039,1.0,3.0 +2040,0.0,1.0 +2041,1.0,4.0 +2042,1.0,7.0 +2043,0.0,3.0 +2044,1.0,4.0 +2045,0.0,3.0 +2046,3.0,5.0 +2047,2.0,2.0 +2048,3.0,5.0 +2049,0.0,4.0 +2050,2.0,8.0 +2051,0.0,4.0 +2052,2.0,3.0 +2053,1.0,6.0 +2054,2.0,5.0 +2055,1.0,3.0 +2056,3.0,8.0 +2057,2.0,4.0 +2058,4.0,5.0 +2059,0.0,7.0 +2060,1.0,1.0 +2061,1.0,3.0 +2062,4.0,3.0 +2063,1.0,2.0 +2064,2.0,5.0 +2065,0.0,4.0 +2066,0.0,2.0 +2067,3.0,10.0 +2068,2.0,2.0 +2069,0.0,3.0 +2070,1.0,3.0 +2071,2.0,5.0 +2072,2.0,3.0 +2073,2.0,4.0 +2074,3.0,4.0 +2075,4.0,3.0 +2076,0.0,5.0 +2077,1.0,2.0 +2078,2.0,5.0 +2079,0.0,8.0 +2080,3.0,1.0 +2081,0.0,3.0 +2082,2.0,4.0 +2083,2.0,3.0 +2084,2.0,3.0 +2085,1.0,5.0 +2086,3.0,5.0 +2087,0.0,8.0 +2088,0.0,8.0 +2089,2.0,3.0 +2090,0.0,4.0 +2091,2.0,4.0 +2092,1.0,3.0 +2093,2.0,3.0 +2094,0.0,6.0 +2095,2.0,5.0 +2096,1.0,5.0 +2097,1.0,6.0 +2098,1.0,1.0 +2099,3.0,4.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/709-peak+year_c.csv b/SurgeData/709-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/709-peak+year_c.csv rename to SurgeData/709-peak+year_c.csv diff --git a/SurgeData/N=1000/709-peak+year_w.csv b/SurgeData/709-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/709-peak+year_w.csv rename to SurgeData/709-peak+year_w.csv diff --git a/SurgeData/N=1000/709-peak_c.csv b/SurgeData/709-peak_c.csv similarity index 100% rename from SurgeData/N=1000/709-peak_c.csv rename to SurgeData/709-peak_c.csv diff --git a/SurgeData/N=1000/709-peak_w.csv b/SurgeData/709-peak_w.csv similarity index 100% rename from SurgeData/N=1000/709-peak_w.csv rename to SurgeData/709-peak_w.csv diff --git a/SurgeData/N=1000/709-surge_c.csv b/SurgeData/709-surge_c.csv similarity index 100% rename from SurgeData/N=1000/709-surge_c.csv rename to SurgeData/709-surge_c.csv diff --git a/SurgeData/N=1000/709-surge_w.csv b/SurgeData/709-surge_w.csv similarity index 100% rename from SurgeData/N=1000/709-surge_w.csv rename to SurgeData/709-surge_w.csv diff --git a/SurgeData/N=1000/709-time_c.csv b/SurgeData/709-time_c.csv similarity index 100% rename from SurgeData/N=1000/709-time_c.csv rename to SurgeData/709-time_c.csv diff --git a/SurgeData/N=1000/709-time_w.csv b/SurgeData/709-time_w.csv similarity index 100% rename from SurgeData/N=1000/709-time_w.csv rename to SurgeData/709-time_w.csv diff --git a/SurgeData/N=1000/709-waterlevel_c.csv b/SurgeData/709-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/709-waterlevel_c.csv rename to SurgeData/709-waterlevel_c.csv diff --git a/SurgeData/N=1000/709-waterlevel_w.csv b/SurgeData/709-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/709-waterlevel_w.csv rename to SurgeData/709-waterlevel_w.csv diff --git a/SurgeData/71-num_storm.csv b/SurgeData/71-num_storm.csv new file mode 100644 index 00000000..f2bb8935 --- /dev/null +++ b/SurgeData/71-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,2.0 +2022,3.0,2.0 +2023,2.0,3.0 +2024,0.0,4.0 +2025,1.0,5.0 +2026,1.0,2.0 +2027,1.0,3.0 +2028,0.0,3.0 +2029,1.0,5.0 +2030,2.0,5.0 +2031,1.0,5.0 +2032,2.0,4.0 +2033,3.0,3.0 +2034,3.0,5.0 +2035,3.0,4.0 +2036,0.0,4.0 +2037,2.0,4.0 +2038,1.0,4.0 +2039,2.0,3.0 +2040,0.0,4.0 +2041,0.0,4.0 +2042,0.0,5.0 +2043,2.0,5.0 +2044,2.0,3.0 +2045,2.0,1.0 +2046,0.0,6.0 +2047,3.0,6.0 +2048,0.0,1.0 +2049,0.0,3.0 +2050,1.0,8.0 +2051,2.0,6.0 +2052,1.0,9.0 +2053,5.0,6.0 +2054,1.0,5.0 +2055,2.0,4.0 +2056,0.0,2.0 +2057,3.0,5.0 +2058,1.0,4.0 +2059,2.0,4.0 +2060,4.0,5.0 +2061,3.0,2.0 +2062,3.0,2.0 +2063,3.0,5.0 +2064,1.0,3.0 +2065,1.0,6.0 +2066,1.0,6.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,1.0,3.0 +2070,1.0,7.0 +2071,1.0,6.0 +2072,4.0,4.0 +2073,0.0,5.0 +2074,2.0,5.0 +2075,0.0,5.0 +2076,2.0,1.0 +2077,1.0,2.0 +2078,0.0,7.0 +2079,0.0,4.0 +2080,3.0,2.0 +2081,2.0,7.0 +2082,3.0,3.0 +2083,1.0,1.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,3.0,6.0 +2087,0.0,7.0 +2088,2.0,2.0 +2089,3.0,5.0 +2090,2.0,3.0 +2091,1.0,7.0 +2092,2.0,5.0 +2093,1.0,2.0 +2094,3.0,2.0 +2095,2.0,3.0 +2096,1.0,3.0 +2097,3.0,4.0 +2098,2.0,4.0 +2099,1.0,6.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/71-peak+year_c.csv b/SurgeData/71-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/71-peak+year_c.csv rename to SurgeData/71-peak+year_c.csv diff --git a/SurgeData/N=1000/71-peak+year_w.csv b/SurgeData/71-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/71-peak+year_w.csv rename to SurgeData/71-peak+year_w.csv diff --git a/SurgeData/N=1000/71-peak_c.csv b/SurgeData/71-peak_c.csv similarity index 100% rename from SurgeData/N=1000/71-peak_c.csv rename to SurgeData/71-peak_c.csv diff --git a/SurgeData/N=1000/71-peak_w.csv b/SurgeData/71-peak_w.csv similarity index 100% rename from SurgeData/N=1000/71-peak_w.csv rename to SurgeData/71-peak_w.csv diff --git a/SurgeData/N=1000/71-surge_c.csv b/SurgeData/71-surge_c.csv similarity index 100% rename from SurgeData/N=1000/71-surge_c.csv rename to SurgeData/71-surge_c.csv diff --git a/SurgeData/N=1000/71-surge_w.csv b/SurgeData/71-surge_w.csv similarity index 100% rename from SurgeData/N=1000/71-surge_w.csv rename to SurgeData/71-surge_w.csv diff --git a/SurgeData/N=1000/71-time_c.csv b/SurgeData/71-time_c.csv similarity index 100% rename from SurgeData/N=1000/71-time_c.csv rename to SurgeData/71-time_c.csv diff --git a/SurgeData/N=1000/71-time_w.csv b/SurgeData/71-time_w.csv similarity index 100% rename from SurgeData/N=1000/71-time_w.csv rename to SurgeData/71-time_w.csv diff --git a/SurgeData/N=1000/71-waterlevel_c.csv b/SurgeData/71-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/71-waterlevel_c.csv rename to SurgeData/71-waterlevel_c.csv diff --git a/SurgeData/N=1000/71-waterlevel_w.csv b/SurgeData/71-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/71-waterlevel_w.csv rename to SurgeData/71-waterlevel_w.csv diff --git a/SurgeData/710-num_storm.csv b/SurgeData/710-num_storm.csv new file mode 100644 index 00000000..db0e8602 --- /dev/null +++ b/SurgeData/710-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,4.0 +2022,2.0,5.0 +2023,0.0,4.0 +2024,1.0,5.0 +2025,4.0,6.0 +2026,2.0,3.0 +2027,0.0,1.0 +2028,3.0,2.0 +2029,0.0,5.0 +2030,1.0,3.0 +2031,4.0,3.0 +2032,1.0,1.0 +2033,2.0,3.0 +2034,1.0,1.0 +2035,3.0,4.0 +2036,2.0,2.0 +2037,0.0,4.0 +2038,2.0,1.0 +2039,1.0,1.0 +2040,3.0,4.0 +2041,1.0,3.0 +2042,1.0,3.0 +2043,1.0,7.0 +2044,2.0,0.0 +2045,2.0,10.0 +2046,1.0,3.0 +2047,2.0,2.0 +2048,0.0,5.0 +2049,0.0,8.0 +2050,2.0,4.0 +2051,2.0,3.0 +2052,2.0,3.0 +2053,0.0,3.0 +2054,1.0,3.0 +2055,3.0,2.0 +2056,1.0,5.0 +2057,2.0,3.0 +2058,2.0,4.0 +2059,1.0,1.0 +2060,1.0,2.0 +2061,4.0,5.0 +2062,1.0,3.0 +2063,3.0,1.0 +2064,0.0,4.0 +2065,0.0,6.0 +2066,1.0,4.0 +2067,0.0,5.0 +2068,1.0,3.0 +2069,0.0,3.0 +2070,3.0,3.0 +2071,0.0,5.0 +2072,1.0,5.0 +2073,2.0,4.0 +2074,1.0,1.0 +2075,1.0,7.0 +2076,1.0,0.0 +2077,0.0,4.0 +2078,3.0,2.0 +2079,3.0,6.0 +2080,2.0,4.0 +2081,3.0,5.0 +2082,4.0,6.0 +2083,2.0,4.0 +2084,0.0,6.0 +2085,1.0,2.0 +2086,1.0,6.0 +2087,3.0,5.0 +2088,1.0,2.0 +2089,0.0,5.0 +2090,1.0,6.0 +2091,1.0,8.0 +2092,0.0,3.0 +2093,0.0,4.0 +2094,0.0,3.0 +2095,1.0,4.0 +2096,2.0,4.0 +2097,2.0,4.0 +2098,3.0,3.0 +2099,3.0,2.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/710-peak+year_c.csv b/SurgeData/710-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/710-peak+year_c.csv rename to SurgeData/710-peak+year_c.csv diff --git a/SurgeData/N=1000/710-peak+year_w.csv b/SurgeData/710-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/710-peak+year_w.csv rename to SurgeData/710-peak+year_w.csv diff --git a/SurgeData/N=1000/710-peak_c.csv b/SurgeData/710-peak_c.csv similarity index 100% rename from SurgeData/N=1000/710-peak_c.csv rename to SurgeData/710-peak_c.csv diff --git a/SurgeData/N=1000/710-peak_w.csv b/SurgeData/710-peak_w.csv similarity index 100% rename from SurgeData/N=1000/710-peak_w.csv rename to SurgeData/710-peak_w.csv diff --git a/SurgeData/N=1000/710-surge_c.csv b/SurgeData/710-surge_c.csv similarity index 100% rename from SurgeData/N=1000/710-surge_c.csv rename to SurgeData/710-surge_c.csv diff --git a/SurgeData/N=1000/710-surge_w.csv b/SurgeData/710-surge_w.csv similarity index 100% rename from SurgeData/N=1000/710-surge_w.csv rename to SurgeData/710-surge_w.csv diff --git a/SurgeData/N=1000/710-time_c.csv b/SurgeData/710-time_c.csv similarity index 100% rename from SurgeData/N=1000/710-time_c.csv rename to SurgeData/710-time_c.csv diff --git a/SurgeData/N=1000/710-time_w.csv b/SurgeData/710-time_w.csv similarity index 100% rename from SurgeData/N=1000/710-time_w.csv rename to SurgeData/710-time_w.csv diff --git a/SurgeData/N=1000/710-waterlevel_c.csv b/SurgeData/710-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/710-waterlevel_c.csv rename to SurgeData/710-waterlevel_c.csv diff --git a/SurgeData/N=1000/710-waterlevel_w.csv b/SurgeData/710-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/710-waterlevel_w.csv rename to SurgeData/710-waterlevel_w.csv diff --git a/SurgeData/N=1000/711-peak+year_c.csv b/SurgeData/711-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/711-peak+year_c.csv rename to SurgeData/711-peak+year_c.csv diff --git a/SurgeData/N=1000/711-peak+year_w.csv b/SurgeData/711-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/711-peak+year_w.csv rename to SurgeData/711-peak+year_w.csv diff --git a/SurgeData/N=1000/711-peak_c.csv b/SurgeData/711-peak_c.csv similarity index 100% rename from SurgeData/N=1000/711-peak_c.csv rename to SurgeData/711-peak_c.csv diff --git a/SurgeData/N=1000/711-peak_w.csv b/SurgeData/711-peak_w.csv similarity index 100% rename from SurgeData/N=1000/711-peak_w.csv rename to SurgeData/711-peak_w.csv diff --git a/SurgeData/N=1000/711-surge_c.csv b/SurgeData/711-surge_c.csv similarity index 100% rename from SurgeData/N=1000/711-surge_c.csv rename to SurgeData/711-surge_c.csv diff --git a/SurgeData/N=1000/711-surge_w.csv b/SurgeData/711-surge_w.csv similarity index 100% rename from SurgeData/N=1000/711-surge_w.csv rename to SurgeData/711-surge_w.csv diff --git a/SurgeData/N=1000/711-time_c.csv b/SurgeData/711-time_c.csv similarity index 100% rename from SurgeData/N=1000/711-time_c.csv rename to SurgeData/711-time_c.csv diff --git a/SurgeData/N=1000/711-time_w.csv b/SurgeData/711-time_w.csv similarity index 100% rename from SurgeData/N=1000/711-time_w.csv rename to SurgeData/711-time_w.csv diff --git a/SurgeData/N=1000/711-waterlevel_c.csv b/SurgeData/711-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/711-waterlevel_c.csv rename to SurgeData/711-waterlevel_c.csv diff --git a/SurgeData/N=1000/711-waterlevel_w.csv b/SurgeData/711-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/711-waterlevel_w.csv rename to SurgeData/711-waterlevel_w.csv diff --git a/SurgeData/712-num_storm.csv b/SurgeData/712-num_storm.csv new file mode 100644 index 00000000..3d066038 --- /dev/null +++ b/SurgeData/712-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,5.0 +2021,1.0,6.0 +2022,1.0,6.0 +2023,2.0,7.0 +2024,1.0,4.0 +2025,1.0,8.0 +2026,3.0,0.0 +2027,2.0,0.0 +2028,3.0,5.0 +2029,4.0,6.0 +2030,2.0,2.0 +2031,0.0,4.0 +2032,4.0,0.0 +2033,0.0,4.0 +2034,1.0,3.0 +2035,0.0,2.0 +2036,4.0,6.0 +2037,0.0,6.0 +2038,4.0,7.0 +2039,1.0,3.0 +2040,1.0,4.0 +2041,1.0,7.0 +2042,2.0,4.0 +2043,0.0,6.0 +2044,4.0,5.0 +2045,0.0,2.0 +2046,3.0,3.0 +2047,3.0,1.0 +2048,3.0,4.0 +2049,2.0,6.0 +2050,1.0,5.0 +2051,0.0,2.0 +2052,2.0,2.0 +2053,3.0,5.0 +2054,4.0,3.0 +2055,2.0,3.0 +2056,0.0,4.0 +2057,0.0,3.0 +2058,2.0,4.0 +2059,1.0,6.0 +2060,1.0,5.0 +2061,0.0,4.0 +2062,0.0,3.0 +2063,3.0,3.0 +2064,1.0,3.0 +2065,0.0,6.0 +2066,1.0,5.0 +2067,2.0,3.0 +2068,1.0,0.0 +2069,1.0,5.0 +2070,0.0,5.0 +2071,0.0,6.0 +2072,2.0,2.0 +2073,0.0,5.0 +2074,2.0,2.0 +2075,2.0,3.0 +2076,3.0,3.0 +2077,2.0,6.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,3.0,6.0 +2081,2.0,6.0 +2082,1.0,5.0 +2083,0.0,3.0 +2084,3.0,2.0 +2085,0.0,5.0 +2086,1.0,2.0 +2087,0.0,1.0 +2088,0.0,4.0 +2089,3.0,4.0 +2090,3.0,3.0 +2091,3.0,7.0 +2092,2.0,7.0 +2093,1.0,3.0 +2094,0.0,2.0 +2095,2.0,7.0 +2096,3.0,6.0 +2097,2.0,3.0 +2098,4.0,5.0 +2099,2.0,5.0 +2100,1.0,0.0 diff --git a/SurgeData/N=1000/712-peak+year_c.csv b/SurgeData/712-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/712-peak+year_c.csv rename to SurgeData/712-peak+year_c.csv diff --git a/SurgeData/N=1000/712-peak+year_w.csv b/SurgeData/712-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/712-peak+year_w.csv rename to SurgeData/712-peak+year_w.csv diff --git a/SurgeData/N=1000/712-peak_c.csv b/SurgeData/712-peak_c.csv similarity index 100% rename from SurgeData/N=1000/712-peak_c.csv rename to SurgeData/712-peak_c.csv diff --git a/SurgeData/N=1000/712-peak_w.csv b/SurgeData/712-peak_w.csv similarity index 100% rename from SurgeData/N=1000/712-peak_w.csv rename to SurgeData/712-peak_w.csv diff --git a/SurgeData/N=1000/712-surge_c.csv b/SurgeData/712-surge_c.csv similarity index 100% rename from SurgeData/N=1000/712-surge_c.csv rename to SurgeData/712-surge_c.csv diff --git a/SurgeData/N=1000/712-surge_w.csv b/SurgeData/712-surge_w.csv similarity index 100% rename from SurgeData/N=1000/712-surge_w.csv rename to SurgeData/712-surge_w.csv diff --git a/SurgeData/N=1000/712-time_c.csv b/SurgeData/712-time_c.csv similarity index 100% rename from SurgeData/N=1000/712-time_c.csv rename to SurgeData/712-time_c.csv diff --git a/SurgeData/N=1000/712-time_w.csv b/SurgeData/712-time_w.csv similarity index 100% rename from SurgeData/N=1000/712-time_w.csv rename to SurgeData/712-time_w.csv diff --git a/SurgeData/N=1000/712-waterlevel_c.csv b/SurgeData/712-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/712-waterlevel_c.csv rename to SurgeData/712-waterlevel_c.csv diff --git a/SurgeData/N=1000/712-waterlevel_w.csv b/SurgeData/712-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/712-waterlevel_w.csv rename to SurgeData/712-waterlevel_w.csv diff --git a/SurgeData/713-num_storm.csv b/SurgeData/713-num_storm.csv new file mode 100644 index 00000000..c16711f1 --- /dev/null +++ b/SurgeData/713-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,1.0 +2021,0.0,3.0 +2022,4.0,1.0 +2023,0.0,4.0 +2024,2.0,1.0 +2025,1.0,4.0 +2026,3.0,7.0 +2027,1.0,1.0 +2028,1.0,8.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,3.0,3.0 +2032,0.0,10.0 +2033,4.0,5.0 +2034,0.0,4.0 +2035,2.0,2.0 +2036,2.0,8.0 +2037,1.0,6.0 +2038,3.0,4.0 +2039,0.0,0.0 +2040,1.0,4.0 +2041,1.0,7.0 +2042,2.0,7.0 +2043,1.0,6.0 +2044,2.0,2.0 +2045,1.0,4.0 +2046,5.0,2.0 +2047,5.0,3.0 +2048,1.0,5.0 +2049,1.0,7.0 +2050,1.0,6.0 +2051,3.0,5.0 +2052,1.0,4.0 +2053,0.0,4.0 +2054,1.0,5.0 +2055,0.0,3.0 +2056,1.0,8.0 +2057,1.0,7.0 +2058,1.0,8.0 +2059,1.0,5.0 +2060,1.0,4.0 +2061,1.0,4.0 +2062,1.0,10.0 +2063,0.0,8.0 +2064,0.0,1.0 +2065,2.0,4.0 +2066,1.0,9.0 +2067,0.0,4.0 +2068,2.0,3.0 +2069,5.0,3.0 +2070,2.0,6.0 +2071,2.0,4.0 +2072,3.0,4.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,3.0,5.0 +2076,2.0,8.0 +2077,1.0,3.0 +2078,3.0,3.0 +2079,2.0,6.0 +2080,0.0,7.0 +2081,0.0,4.0 +2082,1.0,2.0 +2083,1.0,2.0 +2084,1.0,4.0 +2085,0.0,6.0 +2086,3.0,2.0 +2087,0.0,4.0 +2088,0.0,4.0 +2089,1.0,9.0 +2090,1.0,2.0 +2091,2.0,9.0 +2092,0.0,7.0 +2093,0.0,3.0 +2094,2.0,0.0 +2095,3.0,8.0 +2096,4.0,2.0 +2097,3.0,3.0 +2098,2.0,1.0 +2099,2.0,7.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/713-peak+year_c.csv b/SurgeData/713-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/713-peak+year_c.csv rename to SurgeData/713-peak+year_c.csv diff --git a/SurgeData/N=1000/713-peak+year_w.csv b/SurgeData/713-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/713-peak+year_w.csv rename to SurgeData/713-peak+year_w.csv diff --git a/SurgeData/N=1000/713-peak_c.csv b/SurgeData/713-peak_c.csv similarity index 100% rename from SurgeData/N=1000/713-peak_c.csv rename to SurgeData/713-peak_c.csv diff --git a/SurgeData/N=1000/713-peak_w.csv b/SurgeData/713-peak_w.csv similarity index 100% rename from SurgeData/N=1000/713-peak_w.csv rename to SurgeData/713-peak_w.csv diff --git a/SurgeData/N=1000/713-surge_c.csv b/SurgeData/713-surge_c.csv similarity index 100% rename from SurgeData/N=1000/713-surge_c.csv rename to SurgeData/713-surge_c.csv diff --git a/SurgeData/N=1000/713-surge_w.csv b/SurgeData/713-surge_w.csv similarity index 100% rename from SurgeData/N=1000/713-surge_w.csv rename to SurgeData/713-surge_w.csv diff --git a/SurgeData/N=1000/713-time_c.csv b/SurgeData/713-time_c.csv similarity index 100% rename from SurgeData/N=1000/713-time_c.csv rename to SurgeData/713-time_c.csv diff --git a/SurgeData/N=1000/713-time_w.csv b/SurgeData/713-time_w.csv similarity index 100% rename from SurgeData/N=1000/713-time_w.csv rename to SurgeData/713-time_w.csv diff --git a/SurgeData/N=1000/713-waterlevel_c.csv b/SurgeData/713-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/713-waterlevel_c.csv rename to SurgeData/713-waterlevel_c.csv diff --git a/SurgeData/N=1000/713-waterlevel_w.csv b/SurgeData/713-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/713-waterlevel_w.csv rename to SurgeData/713-waterlevel_w.csv diff --git a/SurgeData/714-num_storm.csv b/SurgeData/714-num_storm.csv new file mode 100644 index 00000000..6bbbf27e --- /dev/null +++ b/SurgeData/714-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,0.0,6.0 +2022,0.0,6.0 +2023,1.0,1.0 +2024,1.0,1.0 +2025,0.0,2.0 +2026,3.0,4.0 +2027,3.0,5.0 +2028,2.0,7.0 +2029,4.0,2.0 +2030,7.0,2.0 +2031,2.0,9.0 +2032,0.0,3.0 +2033,6.0,4.0 +2034,3.0,5.0 +2035,1.0,1.0 +2036,2.0,4.0 +2037,3.0,4.0 +2038,3.0,5.0 +2039,1.0,4.0 +2040,2.0,5.0 +2041,1.0,1.0 +2042,2.0,2.0 +2043,0.0,5.0 +2044,1.0,8.0 +2045,1.0,4.0 +2046,0.0,3.0 +2047,2.0,3.0 +2048,2.0,3.0 +2049,3.0,1.0 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index 100% rename from SurgeData/N=1000/714-peak+year_w.csv rename to SurgeData/714-peak+year_w.csv diff --git a/SurgeData/N=1000/714-peak_c.csv b/SurgeData/714-peak_c.csv similarity index 100% rename from SurgeData/N=1000/714-peak_c.csv rename to SurgeData/714-peak_c.csv diff --git a/SurgeData/N=1000/714-peak_w.csv b/SurgeData/714-peak_w.csv similarity index 100% rename from SurgeData/N=1000/714-peak_w.csv rename to SurgeData/714-peak_w.csv diff --git a/SurgeData/N=1000/714-surge_c.csv b/SurgeData/714-surge_c.csv similarity index 100% rename from SurgeData/N=1000/714-surge_c.csv rename to SurgeData/714-surge_c.csv diff --git a/SurgeData/N=1000/714-surge_w.csv b/SurgeData/714-surge_w.csv similarity index 100% rename from SurgeData/N=1000/714-surge_w.csv rename to SurgeData/714-surge_w.csv diff --git a/SurgeData/N=1000/714-time_c.csv b/SurgeData/714-time_c.csv similarity index 100% rename from SurgeData/N=1000/714-time_c.csv rename to SurgeData/714-time_c.csv diff --git a/SurgeData/N=1000/714-time_w.csv b/SurgeData/714-time_w.csv similarity index 100% rename from SurgeData/N=1000/714-time_w.csv rename to SurgeData/714-time_w.csv diff --git a/SurgeData/N=1000/714-waterlevel_c.csv b/SurgeData/714-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/714-waterlevel_c.csv rename to SurgeData/714-waterlevel_c.csv diff --git a/SurgeData/N=1000/714-waterlevel_w.csv b/SurgeData/714-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/714-waterlevel_w.csv rename to SurgeData/714-waterlevel_w.csv diff --git a/SurgeData/715-num_storm.csv b/SurgeData/715-num_storm.csv new file mode 100644 index 00000000..12e410cb --- /dev/null +++ b/SurgeData/715-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,6.0 +2022,1.0,0.0 +2023,1.0,6.0 +2024,3.0,4.0 +2025,0.0,5.0 +2026,0.0,7.0 +2027,1.0,5.0 +2028,0.0,3.0 +2029,0.0,3.0 +2030,6.0,8.0 +2031,1.0,5.0 +2032,0.0,3.0 +2033,3.0,1.0 +2034,0.0,3.0 +2035,0.0,4.0 +2036,4.0,7.0 +2037,1.0,1.0 +2038,0.0,2.0 +2039,2.0,4.0 +2040,0.0,4.0 +2041,1.0,2.0 +2042,2.0,7.0 +2043,2.0,5.0 +2044,1.0,6.0 +2045,2.0,9.0 +2046,1.0,3.0 +2047,3.0,7.0 +2048,1.0,12.0 +2049,4.0,2.0 +2050,1.0,6.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,5.0,5.0 +2054,0.0,6.0 +2055,2.0,2.0 +2056,0.0,3.0 +2057,1.0,0.0 +2058,4.0,8.0 +2059,2.0,1.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,0.0,8.0 +2063,0.0,3.0 +2064,2.0,4.0 +2065,1.0,6.0 +2066,3.0,3.0 +2067,3.0,1.0 +2068,2.0,3.0 +2069,4.0,5.0 +2070,3.0,4.0 +2071,2.0,5.0 +2072,2.0,4.0 +2073,0.0,3.0 +2074,2.0,3.0 +2075,0.0,5.0 +2076,2.0,5.0 +2077,2.0,3.0 +2078,3.0,4.0 +2079,2.0,3.0 +2080,6.0,2.0 +2081,0.0,7.0 +2082,1.0,3.0 +2083,0.0,4.0 +2084,1.0,5.0 +2085,0.0,1.0 +2086,0.0,2.0 +2087,2.0,11.0 +2088,2.0,7.0 +2089,1.0,5.0 +2090,1.0,2.0 +2091,0.0,2.0 +2092,1.0,3.0 +2093,0.0,3.0 +2094,0.0,6.0 +2095,2.0,4.0 +2096,2.0,5.0 +2097,2.0,3.0 +2098,1.0,2.0 +2099,2.0,6.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/715-peak+year_c.csv b/SurgeData/715-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/715-peak+year_c.csv rename to SurgeData/715-peak+year_c.csv diff --git a/SurgeData/N=1000/715-peak+year_w.csv b/SurgeData/715-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/715-peak+year_w.csv rename to SurgeData/715-peak+year_w.csv diff --git a/SurgeData/N=1000/715-peak_c.csv b/SurgeData/715-peak_c.csv similarity index 100% rename from SurgeData/N=1000/715-peak_c.csv rename to SurgeData/715-peak_c.csv diff --git a/SurgeData/N=1000/715-peak_w.csv b/SurgeData/715-peak_w.csv similarity index 100% rename from SurgeData/N=1000/715-peak_w.csv rename to SurgeData/715-peak_w.csv diff --git a/SurgeData/N=1000/715-surge_c.csv b/SurgeData/715-surge_c.csv similarity index 100% rename from SurgeData/N=1000/715-surge_c.csv rename to SurgeData/715-surge_c.csv diff --git a/SurgeData/N=1000/715-surge_w.csv b/SurgeData/715-surge_w.csv similarity index 100% rename from SurgeData/N=1000/715-surge_w.csv rename to SurgeData/715-surge_w.csv diff --git a/SurgeData/N=1000/715-time_c.csv b/SurgeData/715-time_c.csv similarity index 100% rename from SurgeData/N=1000/715-time_c.csv rename to SurgeData/715-time_c.csv diff --git a/SurgeData/N=1000/715-time_w.csv b/SurgeData/715-time_w.csv similarity index 100% rename from SurgeData/N=1000/715-time_w.csv rename to SurgeData/715-time_w.csv diff --git a/SurgeData/N=1000/715-waterlevel_c.csv b/SurgeData/715-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/715-waterlevel_c.csv rename to SurgeData/715-waterlevel_c.csv diff --git a/SurgeData/N=1000/715-waterlevel_w.csv b/SurgeData/715-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/715-waterlevel_w.csv rename to SurgeData/715-waterlevel_w.csv diff --git a/SurgeData/716-num_storm.csv b/SurgeData/716-num_storm.csv new file mode 100644 index 00000000..a66e3dc4 --- /dev/null +++ b/SurgeData/716-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,2.0,2.0 +2022,3.0,3.0 +2023,2.0,2.0 +2024,5.0,7.0 +2025,2.0,2.0 +2026,0.0,5.0 +2027,1.0,0.0 +2028,4.0,2.0 +2029,0.0,6.0 +2030,1.0,3.0 +2031,2.0,8.0 +2032,2.0,5.0 +2033,3.0,3.0 +2034,4.0,5.0 +2035,1.0,4.0 +2036,0.0,3.0 +2037,1.0,6.0 +2038,1.0,5.0 +2039,1.0,6.0 +2040,3.0,5.0 +2041,1.0,5.0 +2042,1.0,7.0 +2043,0.0,2.0 +2044,4.0,4.0 +2045,0.0,3.0 +2046,1.0,4.0 +2047,2.0,3.0 +2048,2.0,3.0 +2049,2.0,2.0 +2050,0.0,7.0 +2051,2.0,3.0 +2052,1.0,5.0 +2053,2.0,1.0 +2054,0.0,5.0 +2055,2.0,4.0 +2056,2.0,6.0 +2057,3.0,5.0 +2058,1.0,3.0 +2059,0.0,0.0 +2060,1.0,4.0 +2061,0.0,7.0 +2062,0.0,1.0 +2063,0.0,2.0 +2064,0.0,5.0 +2065,0.0,5.0 +2066,1.0,4.0 +2067,1.0,2.0 +2068,3.0,4.0 +2069,1.0,4.0 +2070,2.0,2.0 +2071,0.0,3.0 +2072,1.0,5.0 +2073,2.0,4.0 +2074,2.0,4.0 +2075,0.0,6.0 +2076,2.0,4.0 +2077,1.0,2.0 +2078,1.0,7.0 +2079,4.0,6.0 +2080,1.0,3.0 +2081,0.0,6.0 +2082,1.0,5.0 +2083,3.0,1.0 +2084,1.0,4.0 +2085,0.0,4.0 +2086,1.0,4.0 +2087,4.0,3.0 +2088,2.0,4.0 +2089,1.0,5.0 +2090,2.0,6.0 +2091,2.0,4.0 +2092,3.0,2.0 +2093,3.0,4.0 +2094,4.0,2.0 +2095,1.0,8.0 +2096,1.0,3.0 +2097,3.0,3.0 +2098,2.0,5.0 +2099,2.0,2.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/716-peak+year_c.csv b/SurgeData/716-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/716-peak+year_c.csv rename to SurgeData/716-peak+year_c.csv diff --git a/SurgeData/N=1000/716-peak+year_w.csv b/SurgeData/716-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/716-peak+year_w.csv rename to SurgeData/716-peak+year_w.csv diff --git a/SurgeData/N=1000/716-peak_c.csv b/SurgeData/716-peak_c.csv similarity index 100% rename from SurgeData/N=1000/716-peak_c.csv rename to SurgeData/716-peak_c.csv diff --git a/SurgeData/N=1000/716-peak_w.csv b/SurgeData/716-peak_w.csv similarity index 100% rename from SurgeData/N=1000/716-peak_w.csv rename to SurgeData/716-peak_w.csv diff --git a/SurgeData/N=1000/716-surge_c.csv b/SurgeData/716-surge_c.csv similarity index 100% rename from SurgeData/N=1000/716-surge_c.csv rename to SurgeData/716-surge_c.csv diff --git a/SurgeData/N=1000/716-surge_w.csv b/SurgeData/716-surge_w.csv similarity index 100% rename from SurgeData/N=1000/716-surge_w.csv rename to SurgeData/716-surge_w.csv diff --git a/SurgeData/N=1000/716-time_c.csv b/SurgeData/716-time_c.csv similarity index 100% rename from SurgeData/N=1000/716-time_c.csv rename to SurgeData/716-time_c.csv diff --git a/SurgeData/N=1000/716-time_w.csv b/SurgeData/716-time_w.csv similarity index 100% rename from SurgeData/N=1000/716-time_w.csv rename to SurgeData/716-time_w.csv diff --git a/SurgeData/N=1000/716-waterlevel_c.csv b/SurgeData/716-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/716-waterlevel_c.csv rename to SurgeData/716-waterlevel_c.csv diff --git a/SurgeData/N=1000/716-waterlevel_w.csv b/SurgeData/716-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/716-waterlevel_w.csv rename to SurgeData/716-waterlevel_w.csv diff --git a/SurgeData/717-num_storm.csv b/SurgeData/717-num_storm.csv new file mode 100644 index 00000000..ed37db75 --- /dev/null +++ b/SurgeData/717-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,4.0 +2022,3.0,2.0 +2023,5.0,2.0 +2024,2.0,5.0 +2025,0.0,2.0 +2026,2.0,3.0 +2027,0.0,2.0 +2028,1.0,8.0 +2029,0.0,3.0 +2030,0.0,3.0 +2031,0.0,3.0 +2032,0.0,6.0 +2033,2.0,5.0 +2034,1.0,2.0 +2035,1.0,2.0 +2036,4.0,3.0 +2037,0.0,2.0 +2038,1.0,3.0 +2039,2.0,2.0 +2040,1.0,6.0 +2041,2.0,1.0 +2042,2.0,6.0 +2043,2.0,4.0 +2044,1.0,3.0 +2045,0.0,5.0 +2046,3.0,8.0 +2047,3.0,5.0 +2048,1.0,6.0 +2049,2.0,6.0 +2050,1.0,4.0 +2051,4.0,2.0 +2052,0.0,2.0 +2053,1.0,7.0 +2054,3.0,9.0 +2055,0.0,1.0 +2056,2.0,5.0 +2057,0.0,4.0 +2058,4.0,7.0 +2059,0.0,3.0 +2060,1.0,1.0 +2061,1.0,8.0 +2062,2.0,1.0 +2063,2.0,1.0 +2064,2.0,8.0 +2065,0.0,1.0 +2066,1.0,0.0 +2067,2.0,1.0 +2068,1.0,1.0 +2069,4.0,5.0 +2070,0.0,8.0 +2071,2.0,10.0 +2072,1.0,5.0 +2073,1.0,5.0 +2074,2.0,5.0 +2075,4.0,3.0 +2076,1.0,3.0 +2077,3.0,5.0 +2078,1.0,3.0 +2079,0.0,4.0 +2080,1.0,6.0 +2081,1.0,3.0 +2082,6.0,1.0 +2083,1.0,3.0 +2084,1.0,0.0 +2085,2.0,5.0 +2086,0.0,3.0 +2087,1.0,6.0 +2088,0.0,4.0 +2089,0.0,3.0 +2090,0.0,6.0 +2091,2.0,4.0 +2092,3.0,6.0 +2093,1.0,3.0 +2094,0.0,4.0 +2095,3.0,1.0 +2096,1.0,6.0 +2097,3.0,5.0 +2098,0.0,3.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/717-peak+year_c.csv b/SurgeData/717-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/717-peak+year_c.csv rename to SurgeData/717-peak+year_c.csv diff --git a/SurgeData/N=1000/717-peak+year_w.csv b/SurgeData/717-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/717-peak+year_w.csv rename to SurgeData/717-peak+year_w.csv diff --git a/SurgeData/N=1000/717-peak_c.csv b/SurgeData/717-peak_c.csv similarity index 100% rename from SurgeData/N=1000/717-peak_c.csv rename to SurgeData/717-peak_c.csv diff --git a/SurgeData/N=1000/717-peak_w.csv b/SurgeData/717-peak_w.csv similarity index 100% rename from SurgeData/N=1000/717-peak_w.csv rename to SurgeData/717-peak_w.csv diff --git a/SurgeData/N=1000/717-surge_c.csv b/SurgeData/717-surge_c.csv similarity index 100% rename from SurgeData/N=1000/717-surge_c.csv rename to SurgeData/717-surge_c.csv diff --git a/SurgeData/N=1000/717-surge_w.csv b/SurgeData/717-surge_w.csv similarity index 100% rename from SurgeData/N=1000/717-surge_w.csv rename to SurgeData/717-surge_w.csv diff --git a/SurgeData/N=1000/717-time_c.csv b/SurgeData/717-time_c.csv similarity index 100% rename from SurgeData/N=1000/717-time_c.csv rename to SurgeData/717-time_c.csv diff --git a/SurgeData/N=1000/717-time_w.csv b/SurgeData/717-time_w.csv similarity index 100% rename from SurgeData/N=1000/717-time_w.csv rename to SurgeData/717-time_w.csv diff --git a/SurgeData/N=1000/717-waterlevel_c.csv b/SurgeData/717-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/717-waterlevel_c.csv rename to SurgeData/717-waterlevel_c.csv diff --git a/SurgeData/N=1000/717-waterlevel_w.csv b/SurgeData/717-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/717-waterlevel_w.csv rename to SurgeData/717-waterlevel_w.csv diff --git a/SurgeData/718-num_storm.csv b/SurgeData/718-num_storm.csv new file mode 100644 index 00000000..f82a5063 --- /dev/null +++ b/SurgeData/718-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,8.0 +2022,1.0,3.0 +2023,3.0,3.0 +2024,1.0,3.0 +2025,2.0,7.0 +2026,4.0,1.0 +2027,1.0,6.0 +2028,2.0,5.0 +2029,2.0,4.0 +2030,0.0,5.0 +2031,2.0,8.0 +2032,2.0,5.0 +2033,0.0,6.0 +2034,1.0,6.0 +2035,2.0,3.0 +2036,3.0,6.0 +2037,2.0,1.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,1.0,2.0 +2041,0.0,2.0 +2042,3.0,7.0 +2043,0.0,4.0 +2044,4.0,3.0 +2045,1.0,2.0 +2046,2.0,5.0 +2047,2.0,4.0 +2048,3.0,2.0 +2049,0.0,6.0 +2050,6.0,0.0 +2051,0.0,3.0 +2052,1.0,5.0 +2053,3.0,7.0 +2054,1.0,1.0 +2055,0.0,4.0 +2056,1.0,1.0 +2057,1.0,3.0 +2058,4.0,5.0 +2059,3.0,3.0 +2060,0.0,3.0 +2061,1.0,6.0 +2062,0.0,2.0 +2063,1.0,5.0 +2064,2.0,2.0 +2065,1.0,2.0 +2066,2.0,6.0 +2067,1.0,7.0 +2068,3.0,4.0 +2069,0.0,3.0 +2070,4.0,0.0 +2071,0.0,3.0 +2072,3.0,1.0 +2073,1.0,2.0 +2074,2.0,5.0 +2075,2.0,4.0 +2076,0.0,2.0 +2077,0.0,2.0 +2078,3.0,6.0 +2079,2.0,3.0 +2080,1.0,5.0 +2081,0.0,2.0 +2082,2.0,2.0 +2083,0.0,7.0 +2084,0.0,5.0 +2085,1.0,3.0 +2086,2.0,4.0 +2087,0.0,3.0 +2088,3.0,5.0 +2089,1.0,2.0 +2090,3.0,2.0 +2091,1.0,4.0 +2092,1.0,7.0 +2093,0.0,4.0 +2094,3.0,2.0 +2095,4.0,3.0 +2096,0.0,4.0 +2097,1.0,4.0 +2098,4.0,3.0 +2099,0.0,0.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/718-peak+year_c.csv b/SurgeData/718-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/718-peak+year_c.csv rename to SurgeData/718-peak+year_c.csv diff --git a/SurgeData/N=1000/718-peak+year_w.csv b/SurgeData/718-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/718-peak+year_w.csv rename to SurgeData/718-peak+year_w.csv diff --git a/SurgeData/N=1000/718-peak_c.csv b/SurgeData/718-peak_c.csv similarity index 100% rename from SurgeData/N=1000/718-peak_c.csv rename to SurgeData/718-peak_c.csv diff --git a/SurgeData/N=1000/718-peak_w.csv b/SurgeData/718-peak_w.csv similarity index 100% rename from SurgeData/N=1000/718-peak_w.csv rename to SurgeData/718-peak_w.csv diff --git a/SurgeData/N=1000/718-surge_c.csv b/SurgeData/718-surge_c.csv similarity index 100% rename from SurgeData/N=1000/718-surge_c.csv rename to SurgeData/718-surge_c.csv diff --git a/SurgeData/N=1000/718-surge_w.csv b/SurgeData/718-surge_w.csv similarity index 100% rename from SurgeData/N=1000/718-surge_w.csv rename to SurgeData/718-surge_w.csv diff --git a/SurgeData/N=1000/718-time_c.csv b/SurgeData/718-time_c.csv similarity index 100% rename from SurgeData/N=1000/718-time_c.csv rename to SurgeData/718-time_c.csv diff --git a/SurgeData/N=1000/718-time_w.csv b/SurgeData/718-time_w.csv similarity index 100% rename from SurgeData/N=1000/718-time_w.csv rename to SurgeData/718-time_w.csv diff --git a/SurgeData/N=1000/718-waterlevel_c.csv b/SurgeData/718-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/718-waterlevel_c.csv rename to SurgeData/718-waterlevel_c.csv diff --git a/SurgeData/N=1000/718-waterlevel_w.csv b/SurgeData/718-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/718-waterlevel_w.csv rename to SurgeData/718-waterlevel_w.csv diff --git a/SurgeData/719-num_storm.csv b/SurgeData/719-num_storm.csv new file mode 100644 index 00000000..a0e239db --- /dev/null +++ b/SurgeData/719-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,5.0 +2022,1.0,2.0 +2023,2.0,1.0 +2024,2.0,10.0 +2025,2.0,4.0 +2026,1.0,4.0 +2027,2.0,7.0 +2028,1.0,5.0 +2029,1.0,6.0 +2030,4.0,4.0 +2031,1.0,3.0 +2032,2.0,6.0 +2033,2.0,2.0 +2034,1.0,5.0 +2035,3.0,5.0 +2036,2.0,3.0 +2037,0.0,4.0 +2038,1.0,2.0 +2039,3.0,8.0 +2040,2.0,7.0 +2041,0.0,1.0 +2042,3.0,2.0 +2043,1.0,4.0 +2044,2.0,2.0 +2045,2.0,4.0 +2046,2.0,4.0 +2047,1.0,5.0 +2048,2.0,3.0 +2049,0.0,4.0 +2050,3.0,8.0 +2051,3.0,3.0 +2052,2.0,4.0 +2053,1.0,3.0 +2054,2.0,4.0 +2055,1.0,8.0 +2056,2.0,4.0 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SurgeData/719-peak+year_w.csv diff --git a/SurgeData/N=1000/719-peak_c.csv b/SurgeData/719-peak_c.csv similarity index 100% rename from SurgeData/N=1000/719-peak_c.csv rename to SurgeData/719-peak_c.csv diff --git a/SurgeData/N=1000/719-peak_w.csv b/SurgeData/719-peak_w.csv similarity index 100% rename from SurgeData/N=1000/719-peak_w.csv rename to SurgeData/719-peak_w.csv diff --git a/SurgeData/N=1000/719-surge_c.csv b/SurgeData/719-surge_c.csv similarity index 100% rename from SurgeData/N=1000/719-surge_c.csv rename to SurgeData/719-surge_c.csv diff --git a/SurgeData/N=1000/719-surge_w.csv b/SurgeData/719-surge_w.csv similarity index 100% rename from SurgeData/N=1000/719-surge_w.csv rename to SurgeData/719-surge_w.csv diff --git a/SurgeData/N=1000/719-time_c.csv b/SurgeData/719-time_c.csv similarity index 100% rename from SurgeData/N=1000/719-time_c.csv rename to SurgeData/719-time_c.csv diff --git a/SurgeData/N=1000/719-time_w.csv b/SurgeData/719-time_w.csv similarity index 100% rename from SurgeData/N=1000/719-time_w.csv rename to SurgeData/719-time_w.csv diff --git a/SurgeData/N=1000/719-waterlevel_c.csv b/SurgeData/719-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/719-waterlevel_c.csv rename to SurgeData/719-waterlevel_c.csv diff --git a/SurgeData/N=1000/719-waterlevel_w.csv b/SurgeData/719-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/719-waterlevel_w.csv rename to SurgeData/719-waterlevel_w.csv diff --git a/SurgeData/N=1000/72-peak+year_c.csv b/SurgeData/72-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/72-peak+year_c.csv rename to SurgeData/72-peak+year_c.csv diff --git a/SurgeData/N=1000/72-peak+year_w.csv b/SurgeData/72-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/72-peak+year_w.csv rename to SurgeData/72-peak+year_w.csv diff --git a/SurgeData/N=1000/72-peak_c.csv b/SurgeData/72-peak_c.csv similarity index 100% rename from SurgeData/N=1000/72-peak_c.csv rename to SurgeData/72-peak_c.csv diff --git a/SurgeData/N=1000/72-peak_w.csv b/SurgeData/72-peak_w.csv similarity index 100% rename from SurgeData/N=1000/72-peak_w.csv rename to SurgeData/72-peak_w.csv diff --git a/SurgeData/N=1000/72-surge_c.csv b/SurgeData/72-surge_c.csv similarity index 100% rename from SurgeData/N=1000/72-surge_c.csv rename to SurgeData/72-surge_c.csv diff --git a/SurgeData/N=1000/72-surge_w.csv b/SurgeData/72-surge_w.csv similarity index 100% rename from SurgeData/N=1000/72-surge_w.csv rename to SurgeData/72-surge_w.csv diff --git a/SurgeData/N=1000/72-time_c.csv b/SurgeData/72-time_c.csv similarity index 100% rename from SurgeData/N=1000/72-time_c.csv rename to SurgeData/72-time_c.csv diff --git a/SurgeData/N=1000/72-time_w.csv b/SurgeData/72-time_w.csv similarity index 100% rename from SurgeData/N=1000/72-time_w.csv rename to SurgeData/72-time_w.csv diff --git a/SurgeData/N=1000/72-waterlevel_c.csv b/SurgeData/72-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/72-waterlevel_c.csv rename to SurgeData/72-waterlevel_c.csv diff --git a/SurgeData/N=1000/72-waterlevel_w.csv b/SurgeData/72-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/72-waterlevel_w.csv rename to SurgeData/72-waterlevel_w.csv diff --git a/SurgeData/720-num_storm.csv b/SurgeData/720-num_storm.csv new file mode 100644 index 00000000..e659f0f5 --- /dev/null +++ b/SurgeData/720-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,5.0 +2022,5.0,3.0 +2023,0.0,2.0 +2024,0.0,7.0 +2025,1.0,2.0 +2026,3.0,2.0 +2027,0.0,8.0 +2028,5.0,2.0 +2029,2.0,3.0 +2030,2.0,4.0 +2031,0.0,4.0 +2032,5.0,4.0 +2033,3.0,7.0 +2034,2.0,5.0 +2035,1.0,6.0 +2036,2.0,6.0 +2037,1.0,5.0 +2038,1.0,5.0 +2039,2.0,5.0 +2040,1.0,5.0 +2041,4.0,3.0 +2042,2.0,4.0 +2043,1.0,5.0 +2044,0.0,5.0 +2045,1.0,4.0 +2046,1.0,7.0 +2047,2.0,3.0 +2048,1.0,4.0 +2049,2.0,3.0 +2050,0.0,7.0 +2051,3.0,4.0 +2052,5.0,3.0 +2053,0.0,4.0 +2054,1.0,5.0 +2055,3.0,3.0 +2056,1.0,1.0 +2057,3.0,4.0 +2058,3.0,3.0 +2059,0.0,3.0 +2060,0.0,6.0 +2061,4.0,2.0 +2062,0.0,5.0 +2063,1.0,5.0 +2064,1.0,1.0 +2065,2.0,4.0 +2066,4.0,7.0 +2067,2.0,5.0 +2068,1.0,6.0 +2069,1.0,4.0 +2070,1.0,3.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,3.0,5.0 +2074,1.0,6.0 +2075,0.0,3.0 +2076,0.0,5.0 +2077,2.0,4.0 +2078,0.0,3.0 +2079,3.0,3.0 +2080,1.0,6.0 +2081,0.0,6.0 +2082,4.0,4.0 +2083,0.0,6.0 +2084,2.0,5.0 +2085,1.0,5.0 +2086,2.0,7.0 +2087,1.0,7.0 +2088,0.0,5.0 +2089,0.0,7.0 +2090,2.0,5.0 +2091,2.0,4.0 +2092,1.0,8.0 +2093,2.0,5.0 +2094,1.0,9.0 +2095,0.0,1.0 +2096,1.0,4.0 +2097,1.0,7.0 +2098,0.0,7.0 +2099,2.0,7.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/720-peak+year_c.csv b/SurgeData/720-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/720-peak+year_c.csv rename to SurgeData/720-peak+year_c.csv diff --git a/SurgeData/N=1000/720-peak+year_w.csv b/SurgeData/720-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/720-peak+year_w.csv rename to SurgeData/720-peak+year_w.csv diff --git a/SurgeData/N=1000/720-peak_c.csv b/SurgeData/720-peak_c.csv similarity index 100% rename from SurgeData/N=1000/720-peak_c.csv rename to SurgeData/720-peak_c.csv diff --git a/SurgeData/N=1000/720-peak_w.csv b/SurgeData/720-peak_w.csv similarity index 100% rename from SurgeData/N=1000/720-peak_w.csv rename to SurgeData/720-peak_w.csv diff --git a/SurgeData/N=1000/720-surge_c.csv b/SurgeData/720-surge_c.csv similarity index 100% rename from SurgeData/N=1000/720-surge_c.csv rename to SurgeData/720-surge_c.csv diff --git a/SurgeData/N=1000/720-surge_w.csv b/SurgeData/720-surge_w.csv similarity index 100% rename from SurgeData/N=1000/720-surge_w.csv rename to SurgeData/720-surge_w.csv diff --git a/SurgeData/N=1000/720-time_c.csv b/SurgeData/720-time_c.csv similarity index 100% rename from SurgeData/N=1000/720-time_c.csv rename to SurgeData/720-time_c.csv diff --git a/SurgeData/N=1000/720-time_w.csv b/SurgeData/720-time_w.csv similarity index 100% rename from SurgeData/N=1000/720-time_w.csv rename to SurgeData/720-time_w.csv diff --git a/SurgeData/N=1000/720-waterlevel_c.csv b/SurgeData/720-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/720-waterlevel_c.csv rename to SurgeData/720-waterlevel_c.csv diff --git a/SurgeData/N=1000/720-waterlevel_w.csv b/SurgeData/720-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/720-waterlevel_w.csv rename to SurgeData/720-waterlevel_w.csv diff --git a/SurgeData/721-num_storm.csv b/SurgeData/721-num_storm.csv new file mode 100644 index 00000000..799df99c --- /dev/null +++ b/SurgeData/721-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,5.0 +2022,1.0,9.0 +2023,3.0,4.0 +2024,1.0,3.0 +2025,2.0,2.0 +2026,4.0,4.0 +2027,2.0,3.0 +2028,3.0,1.0 +2029,4.0,4.0 +2030,1.0,9.0 +2031,1.0,7.0 +2032,1.0,7.0 +2033,0.0,3.0 +2034,0.0,3.0 +2035,1.0,3.0 +2036,2.0,5.0 +2037,0.0,4.0 +2038,1.0,6.0 +2039,2.0,5.0 +2040,2.0,3.0 +2041,0.0,7.0 +2042,2.0,5.0 +2043,3.0,6.0 +2044,1.0,5.0 +2045,3.0,5.0 +2046,2.0,2.0 +2047,5.0,7.0 +2048,4.0,4.0 +2049,1.0,3.0 +2050,2.0,3.0 +2051,2.0,3.0 +2052,2.0,7.0 +2053,1.0,2.0 +2054,2.0,5.0 +2055,0.0,4.0 +2056,0.0,4.0 +2057,0.0,7.0 +2058,1.0,2.0 +2059,1.0,4.0 +2060,1.0,6.0 +2061,1.0,1.0 +2062,1.0,3.0 +2063,0.0,6.0 +2064,0.0,4.0 +2065,5.0,0.0 +2066,3.0,1.0 +2067,2.0,7.0 +2068,3.0,6.0 +2069,2.0,5.0 +2070,1.0,2.0 +2071,2.0,3.0 +2072,0.0,3.0 +2073,0.0,4.0 +2074,1.0,7.0 +2075,0.0,2.0 +2076,0.0,3.0 +2077,2.0,2.0 +2078,1.0,2.0 +2079,0.0,3.0 +2080,1.0,4.0 +2081,3.0,1.0 +2082,1.0,9.0 +2083,1.0,4.0 +2084,0.0,7.0 +2085,0.0,1.0 +2086,2.0,4.0 +2087,0.0,0.0 +2088,0.0,7.0 +2089,0.0,2.0 +2090,0.0,2.0 +2091,1.0,5.0 +2092,0.0,4.0 +2093,2.0,7.0 +2094,4.0,5.0 +2095,0.0,4.0 +2096,0.0,6.0 +2097,1.0,1.0 +2098,0.0,6.0 +2099,1.0,4.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/721-peak+year_c.csv b/SurgeData/721-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/721-peak+year_c.csv rename to SurgeData/721-peak+year_c.csv diff --git a/SurgeData/N=1000/721-peak+year_w.csv b/SurgeData/721-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/721-peak+year_w.csv rename to SurgeData/721-peak+year_w.csv diff --git a/SurgeData/N=1000/721-peak_c.csv b/SurgeData/721-peak_c.csv similarity index 100% rename from SurgeData/N=1000/721-peak_c.csv rename to SurgeData/721-peak_c.csv diff --git a/SurgeData/N=1000/721-peak_w.csv b/SurgeData/721-peak_w.csv similarity index 100% rename from SurgeData/N=1000/721-peak_w.csv rename to SurgeData/721-peak_w.csv diff --git a/SurgeData/N=1000/721-surge_c.csv b/SurgeData/721-surge_c.csv similarity index 100% rename from SurgeData/N=1000/721-surge_c.csv rename to SurgeData/721-surge_c.csv diff --git a/SurgeData/N=1000/721-surge_w.csv b/SurgeData/721-surge_w.csv similarity index 100% rename from SurgeData/N=1000/721-surge_w.csv rename to SurgeData/721-surge_w.csv diff --git a/SurgeData/N=1000/721-time_c.csv b/SurgeData/721-time_c.csv similarity index 100% rename from SurgeData/N=1000/721-time_c.csv rename to SurgeData/721-time_c.csv diff --git a/SurgeData/N=1000/721-time_w.csv b/SurgeData/721-time_w.csv similarity index 100% rename from SurgeData/N=1000/721-time_w.csv rename to SurgeData/721-time_w.csv diff --git a/SurgeData/N=1000/721-waterlevel_c.csv b/SurgeData/721-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/721-waterlevel_c.csv rename to SurgeData/721-waterlevel_c.csv diff --git a/SurgeData/N=1000/721-waterlevel_w.csv b/SurgeData/721-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/721-waterlevel_w.csv rename to SurgeData/721-waterlevel_w.csv diff --git a/SurgeData/N=1000/722-peak+year_c.csv b/SurgeData/722-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/722-peak+year_c.csv rename to SurgeData/722-peak+year_c.csv diff --git a/SurgeData/N=1000/722-peak+year_w.csv b/SurgeData/722-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/722-peak+year_w.csv rename to SurgeData/722-peak+year_w.csv diff --git a/SurgeData/N=1000/722-peak_c.csv b/SurgeData/722-peak_c.csv similarity index 100% rename from SurgeData/N=1000/722-peak_c.csv rename to SurgeData/722-peak_c.csv diff --git a/SurgeData/N=1000/722-peak_w.csv b/SurgeData/722-peak_w.csv similarity index 100% rename from SurgeData/N=1000/722-peak_w.csv rename to SurgeData/722-peak_w.csv diff --git a/SurgeData/N=1000/722-surge_c.csv b/SurgeData/722-surge_c.csv similarity index 100% rename from SurgeData/N=1000/722-surge_c.csv rename to SurgeData/722-surge_c.csv diff --git a/SurgeData/N=1000/722-surge_w.csv b/SurgeData/722-surge_w.csv similarity index 100% rename from SurgeData/N=1000/722-surge_w.csv rename to SurgeData/722-surge_w.csv diff --git a/SurgeData/N=1000/722-time_c.csv b/SurgeData/722-time_c.csv similarity index 100% rename from SurgeData/N=1000/722-time_c.csv rename to SurgeData/722-time_c.csv diff --git a/SurgeData/N=1000/722-time_w.csv b/SurgeData/722-time_w.csv similarity index 100% rename from SurgeData/N=1000/722-time_w.csv rename to SurgeData/722-time_w.csv diff --git a/SurgeData/N=1000/722-waterlevel_c.csv b/SurgeData/722-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/722-waterlevel_c.csv rename to SurgeData/722-waterlevel_c.csv diff --git a/SurgeData/N=1000/722-waterlevel_w.csv b/SurgeData/722-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/722-waterlevel_w.csv rename to SurgeData/722-waterlevel_w.csv diff --git a/SurgeData/N=1000/723-peak+year_c.csv b/SurgeData/723-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/723-peak+year_c.csv rename to SurgeData/723-peak+year_c.csv diff --git a/SurgeData/N=1000/723-peak+year_w.csv b/SurgeData/723-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/723-peak+year_w.csv rename to SurgeData/723-peak+year_w.csv diff --git a/SurgeData/N=1000/723-peak_c.csv b/SurgeData/723-peak_c.csv similarity index 100% rename from SurgeData/N=1000/723-peak_c.csv rename to SurgeData/723-peak_c.csv diff --git a/SurgeData/N=1000/723-peak_w.csv b/SurgeData/723-peak_w.csv similarity index 100% rename from SurgeData/N=1000/723-peak_w.csv rename to SurgeData/723-peak_w.csv diff --git a/SurgeData/N=1000/723-surge_c.csv b/SurgeData/723-surge_c.csv similarity index 100% rename from SurgeData/N=1000/723-surge_c.csv rename to SurgeData/723-surge_c.csv diff --git a/SurgeData/N=1000/723-surge_w.csv b/SurgeData/723-surge_w.csv similarity index 100% rename from SurgeData/N=1000/723-surge_w.csv rename to SurgeData/723-surge_w.csv diff --git a/SurgeData/N=1000/723-time_c.csv b/SurgeData/723-time_c.csv similarity index 100% rename from SurgeData/N=1000/723-time_c.csv rename to SurgeData/723-time_c.csv diff --git a/SurgeData/N=1000/723-time_w.csv b/SurgeData/723-time_w.csv similarity index 100% rename from SurgeData/N=1000/723-time_w.csv rename to SurgeData/723-time_w.csv diff --git a/SurgeData/N=1000/723-waterlevel_c.csv b/SurgeData/723-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/723-waterlevel_c.csv rename to SurgeData/723-waterlevel_c.csv diff --git a/SurgeData/N=1000/723-waterlevel_w.csv b/SurgeData/723-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/723-waterlevel_w.csv rename to SurgeData/723-waterlevel_w.csv diff --git a/SurgeData/724-num_storm.csv b/SurgeData/724-num_storm.csv new file mode 100644 index 00000000..702f6256 --- /dev/null +++ b/SurgeData/724-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,7.0 +2022,2.0,6.0 +2023,1.0,5.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,0.0,6.0 +2027,0.0,3.0 +2028,3.0,7.0 +2029,1.0,7.0 +2030,1.0,3.0 +2031,0.0,7.0 +2032,1.0,2.0 +2033,2.0,7.0 +2034,1.0,6.0 +2035,0.0,3.0 +2036,1.0,4.0 +2037,1.0,6.0 +2038,3.0,4.0 +2039,2.0,3.0 +2040,2.0,0.0 +2041,0.0,5.0 +2042,1.0,2.0 +2043,2.0,7.0 +2044,0.0,9.0 +2045,6.0,3.0 +2046,1.0,8.0 +2047,2.0,3.0 +2048,1.0,3.0 +2049,0.0,6.0 +2050,1.0,10.0 +2051,2.0,3.0 +2052,2.0,5.0 +2053,3.0,2.0 +2054,0.0,3.0 +2055,2.0,3.0 +2056,2.0,7.0 +2057,3.0,4.0 +2058,1.0,3.0 +2059,2.0,2.0 +2060,2.0,3.0 +2061,3.0,5.0 +2062,1.0,5.0 +2063,5.0,3.0 +2064,0.0,5.0 +2065,0.0,6.0 +2066,1.0,5.0 +2067,1.0,4.0 +2068,2.0,3.0 +2069,5.0,3.0 +2070,1.0,2.0 +2071,3.0,8.0 +2072,3.0,6.0 +2073,1.0,7.0 +2074,0.0,5.0 +2075,0.0,5.0 +2076,2.0,2.0 +2077,1.0,8.0 +2078,2.0,3.0 +2079,1.0,5.0 +2080,2.0,2.0 +2081,1.0,3.0 +2082,0.0,7.0 +2083,3.0,4.0 +2084,1.0,5.0 +2085,1.0,5.0 +2086,6.0,4.0 +2087,4.0,1.0 +2088,1.0,10.0 +2089,3.0,4.0 +2090,1.0,5.0 +2091,0.0,8.0 +2092,2.0,8.0 +2093,2.0,6.0 +2094,2.0,10.0 +2095,0.0,8.0 +2096,3.0,5.0 +2097,2.0,6.0 +2098,0.0,4.0 +2099,2.0,4.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/724-peak+year_c.csv b/SurgeData/724-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/724-peak+year_c.csv rename to SurgeData/724-peak+year_c.csv diff --git a/SurgeData/N=1000/724-peak+year_w.csv b/SurgeData/724-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/724-peak+year_w.csv rename to SurgeData/724-peak+year_w.csv diff --git a/SurgeData/N=1000/724-peak_c.csv b/SurgeData/724-peak_c.csv similarity index 100% rename from SurgeData/N=1000/724-peak_c.csv rename to SurgeData/724-peak_c.csv diff --git a/SurgeData/N=1000/724-peak_w.csv b/SurgeData/724-peak_w.csv similarity index 100% rename from SurgeData/N=1000/724-peak_w.csv rename to SurgeData/724-peak_w.csv diff --git a/SurgeData/N=1000/724-surge_c.csv b/SurgeData/724-surge_c.csv similarity index 100% rename from SurgeData/N=1000/724-surge_c.csv rename to SurgeData/724-surge_c.csv diff --git a/SurgeData/N=1000/724-surge_w.csv b/SurgeData/724-surge_w.csv similarity index 100% rename from SurgeData/N=1000/724-surge_w.csv rename to SurgeData/724-surge_w.csv diff --git a/SurgeData/N=1000/724-time_c.csv b/SurgeData/724-time_c.csv similarity index 100% rename from SurgeData/N=1000/724-time_c.csv rename to SurgeData/724-time_c.csv diff --git a/SurgeData/N=1000/724-time_w.csv b/SurgeData/724-time_w.csv similarity index 100% rename from SurgeData/N=1000/724-time_w.csv rename to SurgeData/724-time_w.csv diff --git a/SurgeData/N=1000/724-waterlevel_c.csv b/SurgeData/724-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/724-waterlevel_c.csv rename to SurgeData/724-waterlevel_c.csv diff --git a/SurgeData/N=1000/724-waterlevel_w.csv b/SurgeData/724-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/724-waterlevel_w.csv rename to SurgeData/724-waterlevel_w.csv diff --git a/SurgeData/725-num_storm.csv b/SurgeData/725-num_storm.csv new file mode 100644 index 00000000..4ffdd48c --- /dev/null +++ b/SurgeData/725-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,3.0,10.0 +2022,3.0,5.0 +2023,1.0,5.0 +2024,0.0,0.0 +2025,2.0,8.0 +2026,3.0,8.0 +2027,1.0,5.0 +2028,2.0,3.0 +2029,3.0,4.0 +2030,1.0,12.0 +2031,1.0,3.0 +2032,1.0,6.0 +2033,1.0,2.0 +2034,0.0,3.0 +2035,3.0,4.0 +2036,2.0,2.0 +2037,1.0,3.0 +2038,2.0,5.0 +2039,2.0,4.0 +2040,1.0,1.0 +2041,3.0,3.0 +2042,4.0,3.0 +2043,2.0,4.0 +2044,2.0,1.0 +2045,1.0,7.0 +2046,2.0,2.0 +2047,1.0,4.0 +2048,2.0,3.0 +2049,2.0,2.0 +2050,3.0,7.0 +2051,3.0,3.0 +2052,2.0,2.0 +2053,1.0,5.0 +2054,2.0,4.0 +2055,3.0,5.0 +2056,1.0,6.0 +2057,0.0,6.0 +2058,1.0,8.0 +2059,5.0,4.0 +2060,3.0,2.0 +2061,1.0,7.0 +2062,0.0,3.0 +2063,2.0,3.0 +2064,1.0,7.0 +2065,2.0,4.0 +2066,1.0,4.0 +2067,1.0,5.0 +2068,1.0,5.0 +2069,3.0,5.0 +2070,1.0,4.0 +2071,2.0,6.0 +2072,1.0,3.0 +2073,2.0,2.0 +2074,3.0,2.0 +2075,1.0,5.0 +2076,3.0,9.0 +2077,2.0,4.0 +2078,1.0,7.0 +2079,3.0,5.0 +2080,1.0,4.0 +2081,3.0,1.0 +2082,2.0,5.0 +2083,1.0,6.0 +2084,1.0,5.0 +2085,3.0,7.0 +2086,2.0,2.0 +2087,3.0,4.0 +2088,3.0,3.0 +2089,3.0,5.0 +2090,2.0,4.0 +2091,1.0,2.0 +2092,2.0,8.0 +2093,2.0,2.0 +2094,3.0,2.0 +2095,2.0,7.0 +2096,1.0,3.0 +2097,2.0,5.0 +2098,1.0,0.0 +2099,0.0,3.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/725-peak+year_c.csv b/SurgeData/725-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/725-peak+year_c.csv rename to SurgeData/725-peak+year_c.csv diff --git a/SurgeData/N=1000/725-peak+year_w.csv b/SurgeData/725-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/725-peak+year_w.csv rename to SurgeData/725-peak+year_w.csv diff --git a/SurgeData/N=1000/725-peak_c.csv b/SurgeData/725-peak_c.csv similarity index 100% rename from SurgeData/N=1000/725-peak_c.csv rename to SurgeData/725-peak_c.csv diff --git a/SurgeData/N=1000/725-peak_w.csv b/SurgeData/725-peak_w.csv similarity index 100% rename from SurgeData/N=1000/725-peak_w.csv rename to SurgeData/725-peak_w.csv diff --git a/SurgeData/N=1000/725-surge_c.csv b/SurgeData/725-surge_c.csv similarity index 100% rename from SurgeData/N=1000/725-surge_c.csv rename to SurgeData/725-surge_c.csv diff --git a/SurgeData/N=1000/725-surge_w.csv b/SurgeData/725-surge_w.csv similarity index 100% rename from SurgeData/N=1000/725-surge_w.csv rename to SurgeData/725-surge_w.csv diff --git a/SurgeData/N=1000/725-time_c.csv b/SurgeData/725-time_c.csv similarity index 100% rename from SurgeData/N=1000/725-time_c.csv rename to SurgeData/725-time_c.csv diff --git a/SurgeData/N=1000/725-time_w.csv b/SurgeData/725-time_w.csv similarity index 100% rename from SurgeData/N=1000/725-time_w.csv rename to SurgeData/725-time_w.csv diff --git a/SurgeData/N=1000/725-waterlevel_c.csv b/SurgeData/725-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/725-waterlevel_c.csv rename to SurgeData/725-waterlevel_c.csv diff --git a/SurgeData/N=1000/725-waterlevel_w.csv b/SurgeData/725-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/725-waterlevel_w.csv rename to SurgeData/725-waterlevel_w.csv diff --git a/SurgeData/726-num_storm.csv b/SurgeData/726-num_storm.csv new file mode 100644 index 00000000..30babb73 --- /dev/null +++ b/SurgeData/726-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,3.0,2.0 +2022,1.0,1.0 +2023,4.0,4.0 +2024,1.0,4.0 +2025,1.0,3.0 +2026,1.0,1.0 +2027,0.0,3.0 +2028,1.0,5.0 +2029,2.0,3.0 +2030,2.0,4.0 +2031,1.0,3.0 +2032,0.0,4.0 +2033,0.0,5.0 +2034,1.0,2.0 +2035,1.0,4.0 +2036,1.0,3.0 +2037,3.0,6.0 +2038,3.0,5.0 +2039,2.0,1.0 +2040,3.0,6.0 +2041,1.0,3.0 +2042,1.0,6.0 +2043,0.0,2.0 +2044,0.0,3.0 +2045,4.0,1.0 +2046,0.0,1.0 +2047,2.0,4.0 +2048,0.0,2.0 +2049,2.0,3.0 +2050,1.0,2.0 +2051,0.0,2.0 +2052,1.0,1.0 +2053,2.0,3.0 +2054,2.0,3.0 +2055,1.0,4.0 +2056,3.0,3.0 +2057,1.0,1.0 +2058,1.0,8.0 +2059,0.0,4.0 +2060,3.0,3.0 +2061,5.0,7.0 +2062,1.0,2.0 +2063,2.0,4.0 +2064,0.0,3.0 +2065,3.0,0.0 +2066,1.0,8.0 +2067,4.0,2.0 +2068,1.0,2.0 +2069,2.0,4.0 +2070,1.0,4.0 +2071,3.0,3.0 +2072,3.0,3.0 +2073,1.0,3.0 +2074,0.0,8.0 +2075,2.0,1.0 +2076,1.0,3.0 +2077,1.0,5.0 +2078,1.0,3.0 +2079,1.0,5.0 +2080,3.0,4.0 +2081,1.0,8.0 +2082,2.0,1.0 +2083,2.0,6.0 +2084,3.0,3.0 +2085,3.0,3.0 +2086,3.0,2.0 +2087,4.0,7.0 +2088,0.0,4.0 +2089,1.0,2.0 +2090,0.0,7.0 +2091,1.0,6.0 +2092,1.0,4.0 +2093,2.0,2.0 +2094,2.0,8.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,1.0,4.0 +2098,3.0,4.0 +2099,1.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/726-peak+year_c.csv b/SurgeData/726-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/726-peak+year_c.csv rename to SurgeData/726-peak+year_c.csv diff --git a/SurgeData/N=1000/726-peak+year_w.csv b/SurgeData/726-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/726-peak+year_w.csv rename to SurgeData/726-peak+year_w.csv diff --git a/SurgeData/N=1000/726-peak_c.csv b/SurgeData/726-peak_c.csv similarity index 100% rename from SurgeData/N=1000/726-peak_c.csv rename to SurgeData/726-peak_c.csv diff --git a/SurgeData/N=1000/726-peak_w.csv b/SurgeData/726-peak_w.csv similarity index 100% rename from SurgeData/N=1000/726-peak_w.csv rename to SurgeData/726-peak_w.csv diff --git a/SurgeData/N=1000/726-surge_c.csv b/SurgeData/726-surge_c.csv similarity index 100% rename from SurgeData/N=1000/726-surge_c.csv rename to SurgeData/726-surge_c.csv diff --git a/SurgeData/N=1000/726-surge_w.csv b/SurgeData/726-surge_w.csv similarity index 100% rename from SurgeData/N=1000/726-surge_w.csv rename to SurgeData/726-surge_w.csv diff --git a/SurgeData/N=1000/726-time_c.csv b/SurgeData/726-time_c.csv similarity index 100% rename from SurgeData/N=1000/726-time_c.csv rename to SurgeData/726-time_c.csv diff --git a/SurgeData/N=1000/726-time_w.csv b/SurgeData/726-time_w.csv similarity index 100% rename from SurgeData/N=1000/726-time_w.csv rename to SurgeData/726-time_w.csv diff --git a/SurgeData/N=1000/726-waterlevel_c.csv b/SurgeData/726-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/726-waterlevel_c.csv rename to SurgeData/726-waterlevel_c.csv diff --git a/SurgeData/N=1000/726-waterlevel_w.csv b/SurgeData/726-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/726-waterlevel_w.csv rename to SurgeData/726-waterlevel_w.csv diff --git a/SurgeData/727-num_storm.csv b/SurgeData/727-num_storm.csv new file mode 100644 index 00000000..ef4475da --- /dev/null +++ b/SurgeData/727-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,8.0 +2022,1.0,2.0 +2023,0.0,7.0 +2024,2.0,6.0 +2025,1.0,9.0 +2026,3.0,2.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,3.0,5.0 +2030,0.0,9.0 +2031,1.0,7.0 +2032,1.0,4.0 +2033,1.0,6.0 +2034,4.0,7.0 +2035,1.0,3.0 +2036,0.0,8.0 +2037,2.0,2.0 +2038,0.0,4.0 +2039,1.0,4.0 +2040,0.0,5.0 +2041,0.0,2.0 +2042,1.0,3.0 +2043,1.0,4.0 +2044,4.0,2.0 +2045,3.0,5.0 +2046,2.0,2.0 +2047,3.0,7.0 +2048,2.0,3.0 +2049,1.0,6.0 +2050,0.0,5.0 +2051,2.0,3.0 +2052,0.0,2.0 +2053,3.0,4.0 +2054,0.0,7.0 +2055,0.0,6.0 +2056,2.0,2.0 +2057,2.0,7.0 +2058,1.0,8.0 +2059,2.0,4.0 +2060,2.0,3.0 +2061,2.0,9.0 +2062,1.0,2.0 +2063,0.0,6.0 +2064,1.0,3.0 +2065,2.0,4.0 +2066,1.0,2.0 +2067,2.0,3.0 +2068,0.0,6.0 +2069,4.0,4.0 +2070,2.0,3.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,2.0,1.0 +2074,0.0,2.0 +2075,1.0,5.0 +2076,1.0,1.0 +2077,1.0,1.0 +2078,0.0,1.0 +2079,4.0,7.0 +2080,4.0,9.0 +2081,3.0,6.0 +2082,1.0,6.0 +2083,2.0,2.0 +2084,3.0,7.0 +2085,2.0,5.0 +2086,2.0,3.0 +2087,2.0,6.0 +2088,2.0,4.0 +2089,1.0,4.0 +2090,3.0,6.0 +2091,0.0,5.0 +2092,2.0,4.0 +2093,2.0,4.0 +2094,2.0,3.0 +2095,0.0,4.0 +2096,2.0,6.0 +2097,2.0,2.0 +2098,2.0,2.0 +2099,3.0,2.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/727-peak+year_c.csv b/SurgeData/727-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/727-peak+year_c.csv rename to SurgeData/727-peak+year_c.csv diff --git a/SurgeData/N=1000/727-peak+year_w.csv b/SurgeData/727-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/727-peak+year_w.csv rename to SurgeData/727-peak+year_w.csv diff --git a/SurgeData/N=1000/727-peak_c.csv b/SurgeData/727-peak_c.csv similarity index 100% rename from SurgeData/N=1000/727-peak_c.csv rename to SurgeData/727-peak_c.csv diff --git a/SurgeData/N=1000/727-peak_w.csv b/SurgeData/727-peak_w.csv similarity index 100% rename from SurgeData/N=1000/727-peak_w.csv rename to SurgeData/727-peak_w.csv diff --git a/SurgeData/N=1000/727-surge_c.csv b/SurgeData/727-surge_c.csv similarity index 100% rename from SurgeData/N=1000/727-surge_c.csv rename to SurgeData/727-surge_c.csv diff --git a/SurgeData/N=1000/727-surge_w.csv b/SurgeData/727-surge_w.csv similarity index 100% rename from SurgeData/N=1000/727-surge_w.csv rename to SurgeData/727-surge_w.csv diff --git a/SurgeData/N=1000/727-time_c.csv b/SurgeData/727-time_c.csv similarity index 100% rename from SurgeData/N=1000/727-time_c.csv rename to SurgeData/727-time_c.csv diff --git a/SurgeData/N=1000/727-time_w.csv b/SurgeData/727-time_w.csv similarity index 100% rename from SurgeData/N=1000/727-time_w.csv rename to SurgeData/727-time_w.csv diff --git a/SurgeData/N=1000/727-waterlevel_c.csv b/SurgeData/727-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/727-waterlevel_c.csv rename to SurgeData/727-waterlevel_c.csv diff --git a/SurgeData/N=1000/727-waterlevel_w.csv b/SurgeData/727-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/727-waterlevel_w.csv rename to SurgeData/727-waterlevel_w.csv diff --git a/SurgeData/728-num_storm.csv b/SurgeData/728-num_storm.csv new file mode 100644 index 00000000..a83ce212 --- /dev/null +++ b/SurgeData/728-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,1.0 +2021,2.0,8.0 +2022,1.0,4.0 +2023,0.0,4.0 +2024,1.0,2.0 +2025,2.0,7.0 +2026,1.0,4.0 +2027,2.0,2.0 +2028,0.0,7.0 +2029,0.0,2.0 +2030,1.0,3.0 +2031,3.0,5.0 +2032,3.0,9.0 +2033,1.0,4.0 +2034,0.0,6.0 +2035,2.0,4.0 +2036,0.0,5.0 +2037,2.0,1.0 +2038,2.0,4.0 +2039,3.0,2.0 +2040,2.0,3.0 +2041,1.0,2.0 +2042,4.0,3.0 +2043,2.0,5.0 +2044,0.0,5.0 +2045,0.0,2.0 +2046,2.0,4.0 +2047,1.0,4.0 +2048,4.0,4.0 +2049,1.0,8.0 +2050,5.0,3.0 +2051,3.0,0.0 +2052,5.0,5.0 +2053,2.0,2.0 +2054,1.0,4.0 +2055,0.0,6.0 +2056,1.0,4.0 +2057,1.0,5.0 +2058,3.0,5.0 +2059,5.0,3.0 +2060,1.0,3.0 +2061,2.0,5.0 +2062,3.0,4.0 +2063,1.0,3.0 +2064,2.0,3.0 +2065,0.0,3.0 +2066,1.0,3.0 +2067,1.0,6.0 +2068,2.0,5.0 +2069,2.0,4.0 +2070,1.0,3.0 +2071,3.0,1.0 +2072,1.0,8.0 +2073,2.0,4.0 +2074,0.0,3.0 +2075,2.0,3.0 +2076,4.0,9.0 +2077,1.0,6.0 +2078,3.0,3.0 +2079,2.0,9.0 +2080,3.0,3.0 +2081,4.0,6.0 +2082,4.0,4.0 +2083,0.0,12.0 +2084,1.0,3.0 +2085,2.0,3.0 +2086,2.0,5.0 +2087,0.0,2.0 +2088,1.0,5.0 +2089,1.0,5.0 +2090,2.0,3.0 +2091,1.0,4.0 +2092,2.0,5.0 +2093,3.0,6.0 +2094,4.0,2.0 +2095,0.0,7.0 +2096,1.0,8.0 +2097,2.0,7.0 +2098,0.0,2.0 +2099,1.0,6.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/728-peak+year_c.csv b/SurgeData/728-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/728-peak+year_c.csv rename to SurgeData/728-peak+year_c.csv diff --git a/SurgeData/N=1000/728-peak+year_w.csv b/SurgeData/728-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/728-peak+year_w.csv rename to SurgeData/728-peak+year_w.csv diff --git a/SurgeData/N=1000/728-peak_c.csv b/SurgeData/728-peak_c.csv similarity index 100% rename from SurgeData/N=1000/728-peak_c.csv rename to SurgeData/728-peak_c.csv diff --git a/SurgeData/N=1000/728-peak_w.csv b/SurgeData/728-peak_w.csv similarity index 100% rename from SurgeData/N=1000/728-peak_w.csv rename to SurgeData/728-peak_w.csv diff --git a/SurgeData/N=1000/728-surge_c.csv b/SurgeData/728-surge_c.csv similarity index 100% rename from SurgeData/N=1000/728-surge_c.csv rename to SurgeData/728-surge_c.csv diff --git a/SurgeData/N=1000/728-surge_w.csv b/SurgeData/728-surge_w.csv similarity index 100% rename from SurgeData/N=1000/728-surge_w.csv rename to SurgeData/728-surge_w.csv diff --git a/SurgeData/N=1000/728-time_c.csv b/SurgeData/728-time_c.csv similarity index 100% rename from SurgeData/N=1000/728-time_c.csv rename to SurgeData/728-time_c.csv diff --git a/SurgeData/N=1000/728-time_w.csv b/SurgeData/728-time_w.csv similarity index 100% rename from SurgeData/N=1000/728-time_w.csv rename to SurgeData/728-time_w.csv diff --git a/SurgeData/N=1000/728-waterlevel_c.csv b/SurgeData/728-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/728-waterlevel_c.csv rename to SurgeData/728-waterlevel_c.csv diff --git a/SurgeData/N=1000/728-waterlevel_w.csv b/SurgeData/728-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/728-waterlevel_w.csv rename to SurgeData/728-waterlevel_w.csv diff --git a/SurgeData/729-num_storm.csv b/SurgeData/729-num_storm.csv new file mode 100644 index 00000000..c7f0052a --- /dev/null +++ b/SurgeData/729-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,4.0 +2022,2.0,6.0 +2023,2.0,1.0 +2024,0.0,6.0 +2025,3.0,3.0 +2026,3.0,0.0 +2027,2.0,2.0 +2028,2.0,3.0 +2029,2.0,5.0 +2030,0.0,3.0 +2031,2.0,3.0 +2032,3.0,4.0 +2033,1.0,2.0 +2034,1.0,7.0 +2035,1.0,3.0 +2036,1.0,8.0 +2037,0.0,2.0 +2038,3.0,4.0 +2039,0.0,1.0 +2040,0.0,3.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,0.0,5.0 +2044,0.0,3.0 +2045,1.0,4.0 +2046,1.0,1.0 +2047,1.0,3.0 +2048,1.0,3.0 +2049,1.0,5.0 +2050,0.0,6.0 +2051,2.0,3.0 +2052,0.0,4.0 +2053,2.0,1.0 +2054,2.0,7.0 +2055,3.0,2.0 +2056,0.0,4.0 +2057,1.0,8.0 +2058,1.0,3.0 +2059,1.0,5.0 +2060,3.0,8.0 +2061,3.0,8.0 +2062,0.0,2.0 +2063,2.0,5.0 +2064,1.0,2.0 +2065,1.0,3.0 +2066,3.0,3.0 +2067,1.0,2.0 +2068,2.0,3.0 +2069,2.0,9.0 +2070,4.0,3.0 +2071,5.0,5.0 +2072,0.0,3.0 +2073,2.0,1.0 +2074,2.0,4.0 +2075,2.0,4.0 +2076,4.0,4.0 +2077,1.0,3.0 +2078,6.0,4.0 +2079,2.0,6.0 +2080,0.0,2.0 +2081,1.0,4.0 +2082,2.0,3.0 +2083,4.0,2.0 +2084,4.0,3.0 +2085,0.0,6.0 +2086,3.0,5.0 +2087,4.0,3.0 +2088,5.0,2.0 +2089,1.0,2.0 +2090,2.0,3.0 +2091,2.0,3.0 +2092,2.0,3.0 +2093,0.0,4.0 +2094,0.0,2.0 +2095,2.0,3.0 +2096,1.0,5.0 +2097,0.0,6.0 +2098,0.0,4.0 +2099,3.0,5.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/729-peak+year_c.csv b/SurgeData/729-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/729-peak+year_c.csv rename to SurgeData/729-peak+year_c.csv diff --git a/SurgeData/N=1000/729-peak+year_w.csv b/SurgeData/729-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/729-peak+year_w.csv rename to SurgeData/729-peak+year_w.csv diff --git a/SurgeData/N=1000/729-peak_c.csv b/SurgeData/729-peak_c.csv similarity index 100% rename from SurgeData/N=1000/729-peak_c.csv rename to SurgeData/729-peak_c.csv diff --git a/SurgeData/N=1000/729-peak_w.csv b/SurgeData/729-peak_w.csv similarity index 100% rename from SurgeData/N=1000/729-peak_w.csv rename to SurgeData/729-peak_w.csv diff --git a/SurgeData/N=1000/729-surge_c.csv b/SurgeData/729-surge_c.csv similarity index 100% rename from SurgeData/N=1000/729-surge_c.csv rename to SurgeData/729-surge_c.csv diff --git a/SurgeData/N=1000/729-surge_w.csv b/SurgeData/729-surge_w.csv similarity index 100% rename from SurgeData/N=1000/729-surge_w.csv rename to SurgeData/729-surge_w.csv diff --git a/SurgeData/N=1000/729-time_c.csv b/SurgeData/729-time_c.csv similarity index 100% rename from SurgeData/N=1000/729-time_c.csv rename to SurgeData/729-time_c.csv diff --git a/SurgeData/N=1000/729-time_w.csv b/SurgeData/729-time_w.csv similarity index 100% rename from SurgeData/N=1000/729-time_w.csv rename to SurgeData/729-time_w.csv diff --git a/SurgeData/N=1000/729-waterlevel_c.csv b/SurgeData/729-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/729-waterlevel_c.csv rename to SurgeData/729-waterlevel_c.csv diff --git a/SurgeData/N=1000/729-waterlevel_w.csv b/SurgeData/729-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/729-waterlevel_w.csv rename to SurgeData/729-waterlevel_w.csv diff --git a/SurgeData/N=1000/73-peak+year_c.csv b/SurgeData/73-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/73-peak+year_c.csv rename to SurgeData/73-peak+year_c.csv diff --git a/SurgeData/N=1000/73-peak+year_w.csv b/SurgeData/73-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/73-peak+year_w.csv rename to SurgeData/73-peak+year_w.csv diff --git a/SurgeData/N=1000/73-peak_c.csv b/SurgeData/73-peak_c.csv similarity index 100% rename from SurgeData/N=1000/73-peak_c.csv rename to SurgeData/73-peak_c.csv diff --git a/SurgeData/N=1000/73-peak_w.csv b/SurgeData/73-peak_w.csv similarity index 100% rename from SurgeData/N=1000/73-peak_w.csv rename to SurgeData/73-peak_w.csv diff --git a/SurgeData/N=1000/73-surge_c.csv b/SurgeData/73-surge_c.csv similarity index 100% rename from SurgeData/N=1000/73-surge_c.csv rename to SurgeData/73-surge_c.csv diff --git a/SurgeData/N=1000/73-surge_w.csv b/SurgeData/73-surge_w.csv similarity index 100% rename from SurgeData/N=1000/73-surge_w.csv rename to SurgeData/73-surge_w.csv diff --git a/SurgeData/N=1000/73-time_c.csv b/SurgeData/73-time_c.csv similarity index 100% rename from SurgeData/N=1000/73-time_c.csv rename to SurgeData/73-time_c.csv diff --git a/SurgeData/N=1000/73-time_w.csv b/SurgeData/73-time_w.csv similarity index 100% rename from SurgeData/N=1000/73-time_w.csv rename to SurgeData/73-time_w.csv diff --git a/SurgeData/N=1000/73-waterlevel_c.csv b/SurgeData/73-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/73-waterlevel_c.csv rename to SurgeData/73-waterlevel_c.csv diff --git a/SurgeData/N=1000/73-waterlevel_w.csv b/SurgeData/73-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/73-waterlevel_w.csv rename to SurgeData/73-waterlevel_w.csv diff --git a/SurgeData/730-num_storm.csv b/SurgeData/730-num_storm.csv new file mode 100644 index 00000000..9e594e07 --- /dev/null +++ b/SurgeData/730-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,0.0,4.0 +2022,0.0,4.0 +2023,1.0,3.0 +2024,1.0,6.0 +2025,1.0,8.0 +2026,4.0,9.0 +2027,1.0,1.0 +2028,1.0,4.0 +2029,0.0,6.0 +2030,1.0,4.0 +2031,2.0,2.0 +2032,0.0,2.0 +2033,1.0,3.0 +2034,3.0,2.0 +2035,2.0,6.0 +2036,0.0,3.0 +2037,2.0,4.0 +2038,3.0,3.0 +2039,1.0,0.0 +2040,2.0,6.0 +2041,0.0,4.0 +2042,1.0,6.0 +2043,1.0,1.0 +2044,3.0,4.0 +2045,3.0,1.0 +2046,1.0,3.0 +2047,1.0,4.0 +2048,2.0,8.0 +2049,1.0,2.0 +2050,1.0,6.0 +2051,2.0,2.0 +2052,2.0,4.0 +2053,2.0,3.0 +2054,1.0,4.0 +2055,1.0,5.0 +2056,3.0,6.0 +2057,4.0,2.0 +2058,1.0,5.0 +2059,2.0,3.0 +2060,1.0,1.0 +2061,2.0,3.0 +2062,2.0,4.0 +2063,0.0,2.0 +2064,2.0,5.0 +2065,2.0,4.0 +2066,0.0,4.0 +2067,1.0,2.0 +2068,0.0,4.0 +2069,2.0,3.0 +2070,2.0,5.0 +2071,4.0,4.0 +2072,2.0,3.0 +2073,0.0,6.0 +2074,2.0,5.0 +2075,0.0,8.0 +2076,1.0,3.0 +2077,2.0,4.0 +2078,2.0,1.0 +2079,3.0,5.0 +2080,1.0,5.0 +2081,0.0,5.0 +2082,2.0,5.0 +2083,4.0,4.0 +2084,1.0,7.0 +2085,0.0,2.0 +2086,1.0,1.0 +2087,3.0,5.0 +2088,2.0,4.0 +2089,2.0,3.0 +2090,2.0,5.0 +2091,3.0,3.0 +2092,3.0,4.0 +2093,1.0,2.0 +2094,1.0,5.0 +2095,0.0,2.0 +2096,1.0,4.0 +2097,2.0,6.0 +2098,0.0,3.0 +2099,3.0,4.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/730-peak+year_c.csv b/SurgeData/730-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/730-peak+year_c.csv rename to SurgeData/730-peak+year_c.csv diff --git a/SurgeData/N=1000/730-peak+year_w.csv b/SurgeData/730-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/730-peak+year_w.csv rename to SurgeData/730-peak+year_w.csv diff --git a/SurgeData/N=1000/730-peak_c.csv b/SurgeData/730-peak_c.csv similarity index 100% rename from SurgeData/N=1000/730-peak_c.csv rename to SurgeData/730-peak_c.csv diff --git a/SurgeData/N=1000/730-peak_w.csv b/SurgeData/730-peak_w.csv similarity index 100% rename from SurgeData/N=1000/730-peak_w.csv rename to SurgeData/730-peak_w.csv diff --git a/SurgeData/N=1000/730-surge_c.csv b/SurgeData/730-surge_c.csv similarity index 100% rename from SurgeData/N=1000/730-surge_c.csv rename to SurgeData/730-surge_c.csv diff --git a/SurgeData/N=1000/730-surge_w.csv b/SurgeData/730-surge_w.csv similarity index 100% rename from SurgeData/N=1000/730-surge_w.csv rename to SurgeData/730-surge_w.csv diff --git a/SurgeData/N=1000/730-time_c.csv b/SurgeData/730-time_c.csv similarity index 100% rename from SurgeData/N=1000/730-time_c.csv rename to SurgeData/730-time_c.csv diff --git a/SurgeData/N=1000/730-time_w.csv b/SurgeData/730-time_w.csv similarity index 100% rename from SurgeData/N=1000/730-time_w.csv rename to SurgeData/730-time_w.csv diff --git a/SurgeData/N=1000/730-waterlevel_c.csv b/SurgeData/730-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/730-waterlevel_c.csv rename to SurgeData/730-waterlevel_c.csv diff --git a/SurgeData/N=1000/730-waterlevel_w.csv b/SurgeData/730-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/730-waterlevel_w.csv rename to SurgeData/730-waterlevel_w.csv diff --git a/SurgeData/731-num_storm.csv b/SurgeData/731-num_storm.csv new file mode 100644 index 00000000..08c330d7 --- /dev/null +++ b/SurgeData/731-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,0.0,5.0 +2022,0.0,8.0 +2023,3.0,2.0 +2024,0.0,5.0 +2025,2.0,8.0 +2026,0.0,8.0 +2027,1.0,5.0 +2028,1.0,3.0 +2029,0.0,2.0 +2030,1.0,7.0 +2031,0.0,4.0 +2032,1.0,5.0 +2033,2.0,2.0 +2034,3.0,7.0 +2035,3.0,7.0 +2036,1.0,3.0 +2037,2.0,2.0 +2038,1.0,0.0 +2039,1.0,3.0 +2040,0.0,7.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,3.0,8.0 +2044,1.0,2.0 +2045,0.0,6.0 +2046,1.0,6.0 +2047,2.0,7.0 +2048,1.0,5.0 +2049,1.0,8.0 +2050,0.0,0.0 +2051,3.0,6.0 +2052,2.0,6.0 +2053,2.0,5.0 +2054,1.0,5.0 +2055,0.0,0.0 +2056,1.0,3.0 +2057,1.0,0.0 +2058,0.0,4.0 +2059,0.0,5.0 +2060,0.0,5.0 +2061,2.0,6.0 +2062,1.0,3.0 +2063,4.0,2.0 +2064,3.0,3.0 +2065,1.0,4.0 +2066,0.0,2.0 +2067,2.0,5.0 +2068,0.0,6.0 +2069,0.0,4.0 +2070,3.0,6.0 +2071,1.0,4.0 +2072,2.0,3.0 +2073,2.0,9.0 +2074,2.0,0.0 +2075,0.0,5.0 +2076,0.0,5.0 +2077,1.0,5.0 +2078,1.0,6.0 +2079,1.0,2.0 +2080,2.0,3.0 +2081,3.0,7.0 +2082,1.0,3.0 +2083,1.0,8.0 +2084,3.0,7.0 +2085,3.0,4.0 +2086,0.0,2.0 +2087,2.0,9.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,1.0,4.0 +2091,2.0,1.0 +2092,1.0,7.0 +2093,4.0,2.0 +2094,1.0,4.0 +2095,0.0,6.0 +2096,2.0,3.0 +2097,2.0,7.0 +2098,2.0,6.0 +2099,0.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/731-peak+year_c.csv b/SurgeData/731-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/731-peak+year_c.csv rename to SurgeData/731-peak+year_c.csv diff --git a/SurgeData/N=1000/731-peak+year_w.csv b/SurgeData/731-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/731-peak+year_w.csv rename to SurgeData/731-peak+year_w.csv diff --git a/SurgeData/N=1000/731-peak_c.csv b/SurgeData/731-peak_c.csv similarity index 100% rename from SurgeData/N=1000/731-peak_c.csv rename to SurgeData/731-peak_c.csv diff --git a/SurgeData/N=1000/731-peak_w.csv b/SurgeData/731-peak_w.csv similarity index 100% rename from SurgeData/N=1000/731-peak_w.csv rename to SurgeData/731-peak_w.csv diff --git a/SurgeData/N=1000/731-surge_c.csv b/SurgeData/731-surge_c.csv similarity index 100% rename from SurgeData/N=1000/731-surge_c.csv rename to SurgeData/731-surge_c.csv diff --git a/SurgeData/N=1000/731-surge_w.csv b/SurgeData/731-surge_w.csv similarity index 100% rename from SurgeData/N=1000/731-surge_w.csv rename to SurgeData/731-surge_w.csv diff --git a/SurgeData/N=1000/731-time_c.csv b/SurgeData/731-time_c.csv similarity index 100% rename from SurgeData/N=1000/731-time_c.csv rename to SurgeData/731-time_c.csv diff --git a/SurgeData/N=1000/731-time_w.csv b/SurgeData/731-time_w.csv similarity index 100% rename from SurgeData/N=1000/731-time_w.csv rename to SurgeData/731-time_w.csv diff --git a/SurgeData/N=1000/731-waterlevel_c.csv b/SurgeData/731-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/731-waterlevel_c.csv rename to SurgeData/731-waterlevel_c.csv diff --git a/SurgeData/N=1000/731-waterlevel_w.csv b/SurgeData/731-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/731-waterlevel_w.csv rename to SurgeData/731-waterlevel_w.csv diff --git a/SurgeData/732-num_storm.csv b/SurgeData/732-num_storm.csv new file mode 100644 index 00000000..70423128 --- /dev/null +++ b/SurgeData/732-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,6.0 +2022,2.0,5.0 +2023,4.0,4.0 +2024,1.0,7.0 +2025,5.0,6.0 +2026,1.0,3.0 +2027,2.0,7.0 +2028,2.0,2.0 +2029,1.0,3.0 +2030,0.0,6.0 +2031,3.0,3.0 +2032,2.0,7.0 +2033,1.0,2.0 +2034,2.0,4.0 +2035,1.0,3.0 +2036,1.0,10.0 +2037,0.0,5.0 +2038,2.0,6.0 +2039,2.0,9.0 +2040,0.0,3.0 +2041,2.0,5.0 +2042,2.0,5.0 +2043,0.0,4.0 +2044,1.0,5.0 +2045,2.0,4.0 +2046,3.0,0.0 +2047,2.0,2.0 +2048,3.0,8.0 +2049,2.0,2.0 +2050,4.0,2.0 +2051,1.0,8.0 +2052,1.0,4.0 +2053,0.0,2.0 +2054,2.0,6.0 +2055,0.0,3.0 +2056,1.0,3.0 +2057,4.0,5.0 +2058,2.0,5.0 +2059,0.0,2.0 +2060,2.0,6.0 +2061,2.0,4.0 +2062,3.0,4.0 +2063,1.0,3.0 +2064,2.0,5.0 +2065,2.0,8.0 +2066,2.0,1.0 +2067,2.0,3.0 +2068,3.0,4.0 +2069,0.0,0.0 +2070,1.0,4.0 +2071,6.0,5.0 +2072,2.0,1.0 +2073,1.0,4.0 +2074,3.0,9.0 +2075,2.0,11.0 +2076,1.0,9.0 +2077,0.0,6.0 +2078,2.0,3.0 +2079,2.0,4.0 +2080,1.0,4.0 +2081,1.0,4.0 +2082,1.0,5.0 +2083,0.0,7.0 +2084,4.0,5.0 +2085,0.0,1.0 +2086,0.0,6.0 +2087,3.0,2.0 +2088,1.0,7.0 +2089,4.0,2.0 +2090,3.0,3.0 +2091,0.0,2.0 +2092,0.0,3.0 +2093,2.0,5.0 +2094,1.0,0.0 +2095,0.0,2.0 +2096,3.0,3.0 +2097,3.0,3.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/732-peak+year_c.csv b/SurgeData/732-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/732-peak+year_c.csv rename to SurgeData/732-peak+year_c.csv diff --git a/SurgeData/N=1000/732-peak+year_w.csv b/SurgeData/732-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/732-peak+year_w.csv rename to SurgeData/732-peak+year_w.csv diff --git a/SurgeData/N=1000/732-peak_c.csv b/SurgeData/732-peak_c.csv similarity index 100% rename from SurgeData/N=1000/732-peak_c.csv rename to SurgeData/732-peak_c.csv diff --git a/SurgeData/N=1000/732-peak_w.csv b/SurgeData/732-peak_w.csv similarity index 100% rename from SurgeData/N=1000/732-peak_w.csv rename to SurgeData/732-peak_w.csv diff --git a/SurgeData/N=1000/732-surge_c.csv b/SurgeData/732-surge_c.csv similarity index 100% rename from SurgeData/N=1000/732-surge_c.csv rename to SurgeData/732-surge_c.csv diff --git a/SurgeData/N=1000/732-surge_w.csv b/SurgeData/732-surge_w.csv similarity index 100% rename from SurgeData/N=1000/732-surge_w.csv rename to SurgeData/732-surge_w.csv diff --git a/SurgeData/N=1000/732-time_c.csv b/SurgeData/732-time_c.csv similarity index 100% rename from SurgeData/N=1000/732-time_c.csv rename to SurgeData/732-time_c.csv diff --git a/SurgeData/N=1000/732-time_w.csv b/SurgeData/732-time_w.csv similarity index 100% rename from SurgeData/N=1000/732-time_w.csv rename to SurgeData/732-time_w.csv diff --git a/SurgeData/N=1000/732-waterlevel_c.csv b/SurgeData/732-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/732-waterlevel_c.csv rename to SurgeData/732-waterlevel_c.csv diff --git a/SurgeData/N=1000/732-waterlevel_w.csv b/SurgeData/732-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/732-waterlevel_w.csv rename to SurgeData/732-waterlevel_w.csv diff --git a/SurgeData/733-num_storm.csv b/SurgeData/733-num_storm.csv new file mode 100644 index 00000000..399eab28 --- /dev/null +++ b/SurgeData/733-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,5.0 +2022,0.0,2.0 +2023,0.0,5.0 +2024,2.0,3.0 +2025,2.0,1.0 +2026,1.0,7.0 +2027,1.0,4.0 +2028,1.0,5.0 +2029,0.0,3.0 +2030,5.0,4.0 +2031,1.0,6.0 +2032,2.0,4.0 +2033,1.0,5.0 +2034,2.0,3.0 +2035,2.0,2.0 +2036,0.0,4.0 +2037,1.0,4.0 +2038,2.0,3.0 +2039,4.0,2.0 +2040,0.0,6.0 +2041,2.0,7.0 +2042,2.0,7.0 +2043,2.0,4.0 +2044,2.0,5.0 +2045,0.0,3.0 +2046,0.0,3.0 +2047,5.0,4.0 +2048,2.0,8.0 +2049,1.0,5.0 +2050,1.0,6.0 +2051,4.0,1.0 +2052,0.0,8.0 +2053,3.0,2.0 +2054,0.0,4.0 +2055,1.0,6.0 +2056,1.0,4.0 +2057,1.0,3.0 +2058,1.0,1.0 +2059,1.0,5.0 +2060,0.0,3.0 +2061,0.0,6.0 +2062,3.0,5.0 +2063,1.0,3.0 +2064,1.0,2.0 +2065,2.0,1.0 +2066,1.0,9.0 +2067,4.0,5.0 +2068,1.0,3.0 +2069,0.0,4.0 +2070,0.0,3.0 +2071,1.0,4.0 +2072,4.0,7.0 +2073,3.0,4.0 +2074,1.0,3.0 +2075,2.0,4.0 +2076,1.0,7.0 +2077,1.0,2.0 +2078,1.0,4.0 +2079,3.0,6.0 +2080,2.0,2.0 +2081,1.0,5.0 +2082,1.0,2.0 +2083,0.0,6.0 +2084,1.0,2.0 +2085,5.0,3.0 +2086,0.0,7.0 +2087,1.0,3.0 +2088,2.0,4.0 +2089,2.0,5.0 +2090,1.0,5.0 +2091,0.0,0.0 +2092,1.0,8.0 +2093,1.0,5.0 +2094,2.0,7.0 +2095,2.0,4.0 +2096,2.0,5.0 +2097,1.0,5.0 +2098,1.0,5.0 +2099,1.0,5.0 +2100,0.0,12.0 diff --git a/SurgeData/N=1000/733-peak+year_c.csv b/SurgeData/733-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/733-peak+year_c.csv rename to SurgeData/733-peak+year_c.csv diff --git a/SurgeData/N=1000/733-peak+year_w.csv b/SurgeData/733-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/733-peak+year_w.csv rename to SurgeData/733-peak+year_w.csv diff --git a/SurgeData/N=1000/733-peak_c.csv b/SurgeData/733-peak_c.csv similarity index 100% rename from SurgeData/N=1000/733-peak_c.csv rename to SurgeData/733-peak_c.csv diff --git a/SurgeData/N=1000/733-peak_w.csv b/SurgeData/733-peak_w.csv similarity index 100% rename from SurgeData/N=1000/733-peak_w.csv rename to SurgeData/733-peak_w.csv diff --git a/SurgeData/N=1000/733-surge_c.csv b/SurgeData/733-surge_c.csv similarity index 100% rename from SurgeData/N=1000/733-surge_c.csv rename to SurgeData/733-surge_c.csv diff --git a/SurgeData/N=1000/733-surge_w.csv b/SurgeData/733-surge_w.csv similarity index 100% rename from SurgeData/N=1000/733-surge_w.csv rename to SurgeData/733-surge_w.csv diff --git a/SurgeData/N=1000/733-time_c.csv b/SurgeData/733-time_c.csv similarity index 100% rename from SurgeData/N=1000/733-time_c.csv rename to SurgeData/733-time_c.csv diff --git a/SurgeData/N=1000/733-time_w.csv b/SurgeData/733-time_w.csv similarity index 100% rename from SurgeData/N=1000/733-time_w.csv rename to SurgeData/733-time_w.csv diff --git a/SurgeData/N=1000/733-waterlevel_c.csv b/SurgeData/733-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/733-waterlevel_c.csv rename to SurgeData/733-waterlevel_c.csv diff --git a/SurgeData/N=1000/733-waterlevel_w.csv b/SurgeData/733-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/733-waterlevel_w.csv rename to SurgeData/733-waterlevel_w.csv diff --git a/SurgeData/734-num_storm.csv b/SurgeData/734-num_storm.csv new file mode 100644 index 00000000..1d108ad8 --- /dev/null +++ b/SurgeData/734-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,3.0 +2022,2.0,5.0 +2023,1.0,6.0 +2024,2.0,5.0 +2025,2.0,3.0 +2026,0.0,0.0 +2027,2.0,1.0 +2028,3.0,6.0 +2029,3.0,6.0 +2030,0.0,7.0 +2031,1.0,3.0 +2032,1.0,8.0 +2033,1.0,6.0 +2034,0.0,5.0 +2035,1.0,2.0 +2036,1.0,7.0 +2037,3.0,2.0 +2038,2.0,5.0 +2039,1.0,9.0 +2040,0.0,2.0 +2041,1.0,6.0 +2042,1.0,2.0 +2043,0.0,1.0 +2044,0.0,3.0 +2045,0.0,9.0 +2046,0.0,3.0 +2047,1.0,2.0 +2048,0.0,3.0 +2049,3.0,1.0 +2050,2.0,6.0 +2051,0.0,3.0 +2052,2.0,3.0 +2053,2.0,5.0 +2054,3.0,3.0 +2055,1.0,7.0 +2056,0.0,2.0 +2057,1.0,3.0 +2058,2.0,2.0 +2059,1.0,2.0 +2060,2.0,4.0 +2061,3.0,4.0 +2062,1.0,3.0 +2063,2.0,7.0 +2064,1.0,3.0 +2065,0.0,7.0 +2066,1.0,4.0 +2067,0.0,4.0 +2068,0.0,5.0 +2069,2.0,4.0 +2070,1.0,2.0 +2071,2.0,6.0 +2072,2.0,3.0 +2073,0.0,1.0 +2074,3.0,4.0 +2075,3.0,3.0 +2076,0.0,3.0 +2077,3.0,3.0 +2078,1.0,6.0 +2079,1.0,1.0 +2080,2.0,2.0 +2081,0.0,2.0 +2082,0.0,4.0 +2083,1.0,5.0 +2084,0.0,3.0 +2085,1.0,4.0 +2086,2.0,6.0 +2087,2.0,3.0 +2088,1.0,7.0 +2089,2.0,5.0 +2090,2.0,5.0 +2091,2.0,2.0 +2092,3.0,5.0 +2093,3.0,8.0 +2094,1.0,4.0 +2095,3.0,2.0 +2096,3.0,3.0 +2097,8.0,6.0 +2098,1.0,1.0 +2099,4.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/734-peak+year_c.csv b/SurgeData/734-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/734-peak+year_c.csv rename to SurgeData/734-peak+year_c.csv diff --git a/SurgeData/N=1000/734-peak+year_w.csv b/SurgeData/734-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/734-peak+year_w.csv rename to SurgeData/734-peak+year_w.csv diff --git a/SurgeData/N=1000/734-peak_c.csv b/SurgeData/734-peak_c.csv similarity index 100% rename from SurgeData/N=1000/734-peak_c.csv rename to SurgeData/734-peak_c.csv diff --git a/SurgeData/N=1000/734-peak_w.csv b/SurgeData/734-peak_w.csv similarity index 100% rename from SurgeData/N=1000/734-peak_w.csv rename to SurgeData/734-peak_w.csv diff --git a/SurgeData/N=1000/734-surge_c.csv b/SurgeData/734-surge_c.csv similarity index 100% rename from SurgeData/N=1000/734-surge_c.csv rename to SurgeData/734-surge_c.csv diff --git a/SurgeData/N=1000/734-surge_w.csv b/SurgeData/734-surge_w.csv similarity index 100% rename from SurgeData/N=1000/734-surge_w.csv rename to SurgeData/734-surge_w.csv diff --git a/SurgeData/N=1000/734-time_c.csv b/SurgeData/734-time_c.csv similarity index 100% rename from SurgeData/N=1000/734-time_c.csv rename to SurgeData/734-time_c.csv diff --git a/SurgeData/N=1000/734-time_w.csv b/SurgeData/734-time_w.csv similarity index 100% rename from SurgeData/N=1000/734-time_w.csv rename to SurgeData/734-time_w.csv diff --git a/SurgeData/N=1000/734-waterlevel_c.csv b/SurgeData/734-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/734-waterlevel_c.csv rename to SurgeData/734-waterlevel_c.csv diff --git a/SurgeData/N=1000/734-waterlevel_w.csv b/SurgeData/734-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/734-waterlevel_w.csv rename to SurgeData/734-waterlevel_w.csv diff --git a/SurgeData/N=1000/735-peak+year_c.csv b/SurgeData/735-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/735-peak+year_c.csv rename to SurgeData/735-peak+year_c.csv diff --git a/SurgeData/N=1000/735-peak+year_w.csv b/SurgeData/735-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/735-peak+year_w.csv rename to SurgeData/735-peak+year_w.csv diff --git a/SurgeData/N=1000/735-peak_c.csv b/SurgeData/735-peak_c.csv similarity index 100% rename from SurgeData/N=1000/735-peak_c.csv rename to SurgeData/735-peak_c.csv diff --git a/SurgeData/N=1000/735-peak_w.csv b/SurgeData/735-peak_w.csv similarity index 100% rename from SurgeData/N=1000/735-peak_w.csv rename to SurgeData/735-peak_w.csv diff --git a/SurgeData/N=1000/735-surge_c.csv b/SurgeData/735-surge_c.csv similarity index 100% rename from SurgeData/N=1000/735-surge_c.csv rename to SurgeData/735-surge_c.csv diff --git a/SurgeData/N=1000/735-surge_w.csv b/SurgeData/735-surge_w.csv similarity index 100% rename from SurgeData/N=1000/735-surge_w.csv rename to SurgeData/735-surge_w.csv diff --git a/SurgeData/N=1000/735-time_c.csv b/SurgeData/735-time_c.csv similarity index 100% rename from SurgeData/N=1000/735-time_c.csv rename to SurgeData/735-time_c.csv diff --git a/SurgeData/N=1000/735-time_w.csv b/SurgeData/735-time_w.csv similarity index 100% rename from SurgeData/N=1000/735-time_w.csv rename to SurgeData/735-time_w.csv diff --git a/SurgeData/N=1000/735-waterlevel_c.csv b/SurgeData/735-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/735-waterlevel_c.csv rename to SurgeData/735-waterlevel_c.csv diff --git a/SurgeData/N=1000/735-waterlevel_w.csv b/SurgeData/735-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/735-waterlevel_w.csv rename to SurgeData/735-waterlevel_w.csv diff --git a/SurgeData/736-num_storm.csv b/SurgeData/736-num_storm.csv new file mode 100644 index 00000000..375f4547 --- /dev/null +++ b/SurgeData/736-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,7.0 +2022,1.0,6.0 +2023,0.0,5.0 +2024,2.0,3.0 +2025,0.0,4.0 +2026,0.0,4.0 +2027,1.0,7.0 +2028,1.0,4.0 +2029,2.0,2.0 +2030,2.0,4.0 +2031,0.0,9.0 +2032,1.0,4.0 +2033,1.0,2.0 +2034,2.0,3.0 +2035,1.0,3.0 +2036,2.0,5.0 +2037,2.0,2.0 +2038,0.0,3.0 +2039,1.0,9.0 +2040,2.0,5.0 +2041,0.0,4.0 +2042,2.0,5.0 +2043,2.0,5.0 +2044,1.0,1.0 +2045,2.0,5.0 +2046,0.0,5.0 +2047,2.0,3.0 +2048,0.0,3.0 +2049,5.0,3.0 +2050,4.0,9.0 +2051,1.0,3.0 +2052,0.0,7.0 +2053,0.0,6.0 +2054,2.0,4.0 +2055,1.0,2.0 +2056,2.0,4.0 +2057,0.0,5.0 +2058,3.0,2.0 +2059,2.0,2.0 +2060,2.0,1.0 +2061,0.0,7.0 +2062,0.0,4.0 +2063,1.0,0.0 +2064,3.0,3.0 +2065,0.0,3.0 +2066,0.0,7.0 +2067,0.0,3.0 +2068,1.0,0.0 +2069,1.0,2.0 +2070,3.0,3.0 +2071,1.0,8.0 +2072,2.0,5.0 +2073,2.0,2.0 +2074,0.0,8.0 +2075,1.0,4.0 +2076,2.0,3.0 +2077,1.0,3.0 +2078,0.0,4.0 +2079,1.0,2.0 +2080,0.0,3.0 +2081,0.0,8.0 +2082,5.0,3.0 +2083,1.0,3.0 +2084,1.0,3.0 +2085,2.0,6.0 +2086,1.0,6.0 +2087,1.0,3.0 +2088,0.0,2.0 +2089,4.0,2.0 +2090,2.0,3.0 +2091,0.0,2.0 +2092,0.0,3.0 +2093,2.0,5.0 +2094,0.0,6.0 +2095,1.0,7.0 +2096,1.0,4.0 +2097,1.0,5.0 +2098,2.0,3.0 +2099,3.0,3.0 +2100,6.0,4.0 diff --git a/SurgeData/N=1000/736-peak+year_c.csv b/SurgeData/736-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/736-peak+year_c.csv rename to SurgeData/736-peak+year_c.csv diff --git a/SurgeData/N=1000/736-peak+year_w.csv b/SurgeData/736-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/736-peak+year_w.csv rename to SurgeData/736-peak+year_w.csv diff --git a/SurgeData/N=1000/736-peak_c.csv b/SurgeData/736-peak_c.csv similarity index 100% rename from SurgeData/N=1000/736-peak_c.csv rename to SurgeData/736-peak_c.csv diff --git a/SurgeData/N=1000/736-peak_w.csv b/SurgeData/736-peak_w.csv similarity index 100% rename from SurgeData/N=1000/736-peak_w.csv rename to SurgeData/736-peak_w.csv diff --git a/SurgeData/N=1000/736-surge_c.csv b/SurgeData/736-surge_c.csv similarity index 100% rename from SurgeData/N=1000/736-surge_c.csv rename to SurgeData/736-surge_c.csv diff --git a/SurgeData/N=1000/736-surge_w.csv b/SurgeData/736-surge_w.csv similarity index 100% rename from SurgeData/N=1000/736-surge_w.csv rename to SurgeData/736-surge_w.csv diff --git a/SurgeData/N=1000/736-time_c.csv b/SurgeData/736-time_c.csv similarity index 100% rename from SurgeData/N=1000/736-time_c.csv rename to SurgeData/736-time_c.csv diff --git a/SurgeData/N=1000/736-time_w.csv b/SurgeData/736-time_w.csv similarity index 100% rename from SurgeData/N=1000/736-time_w.csv rename to SurgeData/736-time_w.csv diff --git a/SurgeData/N=1000/736-waterlevel_c.csv b/SurgeData/736-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/736-waterlevel_c.csv rename to SurgeData/736-waterlevel_c.csv diff --git a/SurgeData/N=1000/736-waterlevel_w.csv b/SurgeData/736-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/736-waterlevel_w.csv rename to SurgeData/736-waterlevel_w.csv diff --git a/SurgeData/737-num_storm.csv b/SurgeData/737-num_storm.csv new file mode 100644 index 00000000..65003d25 --- /dev/null +++ b/SurgeData/737-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,3.0,7.0 +2022,2.0,2.0 +2023,2.0,3.0 +2024,2.0,5.0 +2025,1.0,2.0 +2026,2.0,3.0 +2027,1.0,3.0 +2028,4.0,2.0 +2029,1.0,3.0 +2030,0.0,2.0 +2031,1.0,2.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,1.0,2.0 +2035,4.0,4.0 +2036,1.0,3.0 +2037,3.0,4.0 +2038,1.0,5.0 +2039,2.0,5.0 +2040,2.0,10.0 +2041,0.0,5.0 +2042,1.0,3.0 +2043,5.0,1.0 +2044,4.0,6.0 +2045,1.0,2.0 +2046,2.0,2.0 +2047,1.0,4.0 +2048,0.0,3.0 +2049,0.0,2.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,1.0,7.0 +2053,1.0,7.0 +2054,1.0,3.0 +2055,2.0,6.0 +2056,1.0,5.0 +2057,1.0,3.0 +2058,0.0,7.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,3.0,6.0 +2062,1.0,5.0 +2063,2.0,1.0 +2064,0.0,7.0 +2065,0.0,6.0 +2066,1.0,3.0 +2067,3.0,4.0 +2068,2.0,2.0 +2069,1.0,3.0 +2070,2.0,5.0 +2071,2.0,3.0 +2072,3.0,5.0 +2073,0.0,3.0 +2074,1.0,3.0 +2075,1.0,2.0 +2076,3.0,5.0 +2077,1.0,4.0 +2078,4.0,3.0 +2079,1.0,5.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,1.0,7.0 +2083,1.0,3.0 +2084,1.0,4.0 +2085,3.0,11.0 +2086,2.0,4.0 +2087,3.0,3.0 +2088,4.0,6.0 +2089,6.0,3.0 +2090,1.0,5.0 +2091,3.0,5.0 +2092,2.0,5.0 +2093,0.0,5.0 +2094,2.0,3.0 +2095,2.0,3.0 +2096,3.0,7.0 +2097,3.0,7.0 +2098,1.0,3.0 +2099,1.0,6.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/737-peak+year_c.csv b/SurgeData/737-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/737-peak+year_c.csv rename to SurgeData/737-peak+year_c.csv diff --git a/SurgeData/N=1000/737-peak+year_w.csv b/SurgeData/737-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/737-peak+year_w.csv rename to SurgeData/737-peak+year_w.csv diff --git a/SurgeData/N=1000/737-peak_c.csv b/SurgeData/737-peak_c.csv similarity index 100% rename from SurgeData/N=1000/737-peak_c.csv rename to SurgeData/737-peak_c.csv diff --git a/SurgeData/N=1000/737-peak_w.csv b/SurgeData/737-peak_w.csv similarity index 100% rename from SurgeData/N=1000/737-peak_w.csv rename to SurgeData/737-peak_w.csv diff --git a/SurgeData/N=1000/737-surge_c.csv b/SurgeData/737-surge_c.csv similarity index 100% rename from SurgeData/N=1000/737-surge_c.csv rename to SurgeData/737-surge_c.csv diff --git a/SurgeData/N=1000/737-surge_w.csv b/SurgeData/737-surge_w.csv similarity index 100% rename from SurgeData/N=1000/737-surge_w.csv rename to SurgeData/737-surge_w.csv diff --git a/SurgeData/N=1000/737-time_c.csv b/SurgeData/737-time_c.csv similarity index 100% rename from SurgeData/N=1000/737-time_c.csv rename to SurgeData/737-time_c.csv diff --git a/SurgeData/N=1000/737-time_w.csv b/SurgeData/737-time_w.csv similarity index 100% rename from SurgeData/N=1000/737-time_w.csv rename to SurgeData/737-time_w.csv diff --git a/SurgeData/N=1000/737-waterlevel_c.csv b/SurgeData/737-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/737-waterlevel_c.csv rename to SurgeData/737-waterlevel_c.csv diff --git a/SurgeData/N=1000/737-waterlevel_w.csv b/SurgeData/737-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/737-waterlevel_w.csv rename to SurgeData/737-waterlevel_w.csv diff --git a/SurgeData/738-num_storm.csv b/SurgeData/738-num_storm.csv new file mode 100644 index 00000000..8d80c939 --- /dev/null +++ b/SurgeData/738-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,2.0 +2022,0.0,4.0 +2023,2.0,3.0 +2024,3.0,5.0 +2025,2.0,2.0 +2026,2.0,2.0 +2027,0.0,7.0 +2028,2.0,4.0 +2029,1.0,1.0 +2030,3.0,6.0 +2031,2.0,4.0 +2032,0.0,4.0 +2033,1.0,5.0 +2034,1.0,4.0 +2035,0.0,7.0 +2036,1.0,2.0 +2037,2.0,1.0 +2038,1.0,0.0 +2039,1.0,5.0 +2040,0.0,5.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,1.0,1.0 +2044,1.0,4.0 +2045,1.0,6.0 +2046,3.0,3.0 +2047,2.0,3.0 +2048,3.0,7.0 +2049,0.0,2.0 +2050,2.0,8.0 +2051,1.0,2.0 +2052,1.0,3.0 +2053,3.0,6.0 +2054,2.0,7.0 +2055,2.0,2.0 +2056,4.0,2.0 +2057,1.0,1.0 +2058,1.0,4.0 +2059,2.0,3.0 +2060,0.0,8.0 +2061,0.0,3.0 +2062,1.0,4.0 +2063,0.0,2.0 +2064,2.0,6.0 +2065,4.0,8.0 +2066,1.0,5.0 +2067,1.0,4.0 +2068,2.0,7.0 +2069,4.0,4.0 +2070,0.0,6.0 +2071,1.0,1.0 +2072,2.0,5.0 +2073,2.0,2.0 +2074,2.0,3.0 +2075,0.0,5.0 +2076,3.0,3.0 +2077,1.0,4.0 +2078,3.0,3.0 +2079,1.0,1.0 +2080,3.0,3.0 +2081,3.0,6.0 +2082,2.0,3.0 +2083,1.0,2.0 +2084,2.0,5.0 +2085,2.0,5.0 +2086,1.0,5.0 +2087,3.0,4.0 +2088,2.0,4.0 +2089,1.0,4.0 +2090,2.0,2.0 +2091,1.0,10.0 +2092,1.0,5.0 +2093,1.0,3.0 +2094,0.0,3.0 +2095,1.0,5.0 +2096,1.0,4.0 +2097,0.0,7.0 +2098,0.0,3.0 +2099,2.0,2.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/738-peak+year_c.csv b/SurgeData/738-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/738-peak+year_c.csv rename to SurgeData/738-peak+year_c.csv diff --git a/SurgeData/N=1000/738-peak+year_w.csv b/SurgeData/738-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/738-peak+year_w.csv rename to SurgeData/738-peak+year_w.csv diff --git a/SurgeData/N=1000/738-peak_c.csv b/SurgeData/738-peak_c.csv similarity index 100% rename from SurgeData/N=1000/738-peak_c.csv rename to SurgeData/738-peak_c.csv diff --git a/SurgeData/N=1000/738-peak_w.csv b/SurgeData/738-peak_w.csv similarity index 100% rename from SurgeData/N=1000/738-peak_w.csv rename to SurgeData/738-peak_w.csv diff --git a/SurgeData/N=1000/738-surge_c.csv b/SurgeData/738-surge_c.csv similarity index 100% rename from SurgeData/N=1000/738-surge_c.csv rename to SurgeData/738-surge_c.csv diff --git a/SurgeData/N=1000/738-surge_w.csv b/SurgeData/738-surge_w.csv similarity index 100% rename from SurgeData/N=1000/738-surge_w.csv rename to SurgeData/738-surge_w.csv diff --git a/SurgeData/N=1000/738-time_c.csv b/SurgeData/738-time_c.csv similarity index 100% rename from SurgeData/N=1000/738-time_c.csv rename to SurgeData/738-time_c.csv diff --git a/SurgeData/N=1000/738-time_w.csv b/SurgeData/738-time_w.csv similarity index 100% rename from SurgeData/N=1000/738-time_w.csv rename to SurgeData/738-time_w.csv diff --git a/SurgeData/N=1000/738-waterlevel_c.csv b/SurgeData/738-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/738-waterlevel_c.csv rename to SurgeData/738-waterlevel_c.csv diff --git a/SurgeData/N=1000/738-waterlevel_w.csv b/SurgeData/738-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/738-waterlevel_w.csv rename to SurgeData/738-waterlevel_w.csv diff --git a/SurgeData/739-num_storm.csv b/SurgeData/739-num_storm.csv new file mode 100644 index 00000000..7570d33b --- /dev/null +++ b/SurgeData/739-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,2.0 +2022,0.0,8.0 +2023,3.0,8.0 +2024,2.0,5.0 +2025,2.0,8.0 +2026,3.0,4.0 +2027,0.0,4.0 +2028,0.0,4.0 +2029,0.0,3.0 +2030,2.0,7.0 +2031,0.0,6.0 +2032,1.0,2.0 +2033,2.0,1.0 +2034,3.0,2.0 +2035,1.0,5.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,0.0,4.0 +2039,2.0,0.0 +2040,1.0,5.0 +2041,0.0,4.0 +2042,2.0,5.0 +2043,2.0,5.0 +2044,1.0,4.0 +2045,3.0,2.0 +2046,2.0,0.0 +2047,2.0,5.0 +2048,1.0,8.0 +2049,2.0,4.0 +2050,0.0,3.0 +2051,4.0,5.0 +2052,2.0,6.0 +2053,1.0,2.0 +2054,2.0,9.0 +2055,2.0,6.0 +2056,2.0,1.0 +2057,3.0,2.0 +2058,1.0,4.0 +2059,0.0,5.0 +2060,0.0,5.0 +2061,2.0,6.0 +2062,2.0,4.0 +2063,1.0,1.0 +2064,1.0,5.0 +2065,1.0,6.0 +2066,1.0,6.0 +2067,0.0,5.0 +2068,2.0,3.0 +2069,1.0,3.0 +2070,1.0,8.0 +2071,2.0,5.0 +2072,3.0,4.0 +2073,1.0,6.0 +2074,0.0,4.0 +2075,1.0,5.0 +2076,2.0,1.0 +2077,1.0,2.0 +2078,3.0,1.0 +2079,1.0,7.0 +2080,1.0,2.0 +2081,4.0,3.0 +2082,3.0,5.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,2.0,5.0 +2086,2.0,4.0 +2087,3.0,3.0 +2088,3.0,2.0 +2089,3.0,1.0 +2090,2.0,4.0 +2091,3.0,1.0 +2092,2.0,2.0 +2093,2.0,5.0 +2094,0.0,1.0 +2095,0.0,1.0 +2096,0.0,4.0 +2097,0.0,3.0 +2098,2.0,7.0 +2099,4.0,1.0 +2100,3.0,1.0 diff --git a/SurgeData/N=1000/739-peak+year_c.csv b/SurgeData/739-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/739-peak+year_c.csv rename to SurgeData/739-peak+year_c.csv diff --git a/SurgeData/N=1000/739-peak+year_w.csv b/SurgeData/739-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/739-peak+year_w.csv rename to SurgeData/739-peak+year_w.csv diff --git a/SurgeData/N=1000/739-peak_c.csv b/SurgeData/739-peak_c.csv similarity index 100% rename from SurgeData/N=1000/739-peak_c.csv rename to SurgeData/739-peak_c.csv diff --git a/SurgeData/N=1000/739-peak_w.csv b/SurgeData/739-peak_w.csv similarity index 100% rename from SurgeData/N=1000/739-peak_w.csv rename to SurgeData/739-peak_w.csv diff --git a/SurgeData/N=1000/739-surge_c.csv b/SurgeData/739-surge_c.csv similarity index 100% rename from SurgeData/N=1000/739-surge_c.csv rename to SurgeData/739-surge_c.csv diff --git a/SurgeData/N=1000/739-surge_w.csv b/SurgeData/739-surge_w.csv similarity index 100% rename from SurgeData/N=1000/739-surge_w.csv rename to SurgeData/739-surge_w.csv diff --git a/SurgeData/N=1000/739-time_c.csv b/SurgeData/739-time_c.csv similarity index 100% rename from SurgeData/N=1000/739-time_c.csv rename to SurgeData/739-time_c.csv diff --git a/SurgeData/N=1000/739-time_w.csv b/SurgeData/739-time_w.csv similarity index 100% rename from SurgeData/N=1000/739-time_w.csv rename to SurgeData/739-time_w.csv diff --git a/SurgeData/N=1000/739-waterlevel_c.csv b/SurgeData/739-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/739-waterlevel_c.csv rename to SurgeData/739-waterlevel_c.csv diff --git a/SurgeData/N=1000/739-waterlevel_w.csv b/SurgeData/739-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/739-waterlevel_w.csv rename to SurgeData/739-waterlevel_w.csv diff --git a/SurgeData/74-num_storm.csv b/SurgeData/74-num_storm.csv new file mode 100644 index 00000000..a9247760 --- /dev/null +++ b/SurgeData/74-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,3.0 +2022,2.0,10.0 +2023,2.0,4.0 +2024,3.0,5.0 +2025,1.0,3.0 +2026,1.0,5.0 +2027,1.0,4.0 +2028,0.0,4.0 +2029,0.0,6.0 +2030,0.0,5.0 +2031,3.0,4.0 +2032,0.0,7.0 +2033,2.0,6.0 +2034,1.0,3.0 +2035,1.0,6.0 +2036,3.0,7.0 +2037,1.0,1.0 +2038,3.0,5.0 +2039,3.0,5.0 +2040,1.0,3.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,0.0,4.0 +2044,3.0,4.0 +2045,5.0,5.0 +2046,2.0,3.0 +2047,2.0,8.0 +2048,3.0,8.0 +2049,2.0,7.0 +2050,2.0,6.0 +2051,1.0,5.0 +2052,3.0,4.0 +2053,2.0,2.0 +2054,1.0,4.0 +2055,0.0,3.0 +2056,0.0,3.0 +2057,0.0,4.0 +2058,2.0,4.0 +2059,1.0,3.0 +2060,2.0,3.0 +2061,0.0,5.0 +2062,1.0,3.0 +2063,3.0,4.0 +2064,5.0,2.0 +2065,2.0,2.0 +2066,1.0,2.0 +2067,2.0,2.0 +2068,3.0,4.0 +2069,2.0,3.0 +2070,4.0,3.0 +2071,2.0,5.0 +2072,4.0,3.0 +2073,1.0,3.0 +2074,2.0,4.0 +2075,1.0,4.0 +2076,3.0,3.0 +2077,1.0,2.0 +2078,3.0,5.0 +2079,0.0,6.0 +2080,5.0,3.0 +2081,1.0,3.0 +2082,1.0,4.0 +2083,0.0,2.0 +2084,0.0,5.0 +2085,3.0,11.0 +2086,1.0,5.0 +2087,5.0,2.0 +2088,1.0,3.0 +2089,2.0,3.0 +2090,2.0,4.0 +2091,2.0,8.0 +2092,1.0,2.0 +2093,2.0,4.0 +2094,1.0,3.0 +2095,0.0,3.0 +2096,2.0,9.0 +2097,3.0,2.0 +2098,3.0,5.0 +2099,0.0,1.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/74-peak+year_c.csv b/SurgeData/74-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/74-peak+year_c.csv rename to SurgeData/74-peak+year_c.csv diff --git a/SurgeData/N=1000/74-peak+year_w.csv b/SurgeData/74-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/74-peak+year_w.csv rename to SurgeData/74-peak+year_w.csv diff --git a/SurgeData/N=1000/74-peak_c.csv b/SurgeData/74-peak_c.csv similarity index 100% rename from SurgeData/N=1000/74-peak_c.csv rename to SurgeData/74-peak_c.csv diff --git a/SurgeData/N=1000/74-peak_w.csv b/SurgeData/74-peak_w.csv similarity index 100% rename from SurgeData/N=1000/74-peak_w.csv rename to SurgeData/74-peak_w.csv diff --git a/SurgeData/N=1000/74-surge_c.csv b/SurgeData/74-surge_c.csv similarity index 100% rename from SurgeData/N=1000/74-surge_c.csv rename to SurgeData/74-surge_c.csv diff --git a/SurgeData/N=1000/74-surge_w.csv b/SurgeData/74-surge_w.csv similarity index 100% rename from SurgeData/N=1000/74-surge_w.csv rename to SurgeData/74-surge_w.csv diff --git a/SurgeData/N=1000/74-time_c.csv b/SurgeData/74-time_c.csv similarity index 100% rename from SurgeData/N=1000/74-time_c.csv rename to SurgeData/74-time_c.csv diff --git a/SurgeData/N=1000/74-time_w.csv b/SurgeData/74-time_w.csv similarity index 100% rename from SurgeData/N=1000/74-time_w.csv rename to SurgeData/74-time_w.csv diff --git a/SurgeData/N=1000/74-waterlevel_c.csv b/SurgeData/74-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/74-waterlevel_c.csv rename to SurgeData/74-waterlevel_c.csv diff --git a/SurgeData/N=1000/74-waterlevel_w.csv b/SurgeData/74-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/74-waterlevel_w.csv rename to SurgeData/74-waterlevel_w.csv diff --git a/SurgeData/740-num_storm.csv b/SurgeData/740-num_storm.csv new file mode 100644 index 00000000..6c8c32be --- /dev/null +++ b/SurgeData/740-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,5.0 +2022,0.0,3.0 +2023,1.0,5.0 +2024,3.0,6.0 +2025,1.0,1.0 +2026,1.0,4.0 +2027,1.0,6.0 +2028,3.0,8.0 +2029,1.0,3.0 +2030,1.0,0.0 +2031,0.0,2.0 +2032,0.0,6.0 +2033,1.0,6.0 +2034,4.0,6.0 +2035,1.0,7.0 +2036,1.0,1.0 +2037,4.0,4.0 +2038,1.0,5.0 +2039,2.0,4.0 +2040,0.0,5.0 +2041,1.0,7.0 +2042,1.0,5.0 +2043,5.0,6.0 +2044,3.0,5.0 +2045,1.0,5.0 +2046,1.0,5.0 +2047,2.0,1.0 +2048,5.0,6.0 +2049,1.0,3.0 +2050,2.0,8.0 +2051,2.0,4.0 +2052,4.0,5.0 +2053,0.0,6.0 +2054,3.0,3.0 +2055,2.0,4.0 +2056,4.0,4.0 +2057,1.0,3.0 +2058,2.0,0.0 +2059,0.0,3.0 +2060,1.0,5.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,1.0,7.0 +2064,3.0,6.0 +2065,2.0,1.0 +2066,0.0,7.0 +2067,0.0,4.0 +2068,3.0,3.0 +2069,1.0,6.0 +2070,0.0,4.0 +2071,3.0,3.0 +2072,0.0,2.0 +2073,0.0,4.0 +2074,3.0,5.0 +2075,2.0,3.0 +2076,2.0,2.0 +2077,2.0,2.0 +2078,1.0,8.0 +2079,0.0,4.0 +2080,1.0,4.0 +2081,3.0,4.0 +2082,2.0,7.0 +2083,2.0,1.0 +2084,1.0,3.0 +2085,2.0,5.0 +2086,1.0,6.0 +2087,5.0,3.0 +2088,1.0,3.0 +2089,1.0,2.0 +2090,1.0,10.0 +2091,0.0,3.0 +2092,0.0,2.0 +2093,2.0,2.0 +2094,2.0,6.0 +2095,1.0,4.0 +2096,2.0,4.0 +2097,2.0,3.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/740-peak+year_c.csv b/SurgeData/740-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/740-peak+year_c.csv rename to SurgeData/740-peak+year_c.csv diff --git a/SurgeData/N=1000/740-peak+year_w.csv b/SurgeData/740-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/740-peak+year_w.csv rename to SurgeData/740-peak+year_w.csv diff --git a/SurgeData/N=1000/740-peak_c.csv b/SurgeData/740-peak_c.csv similarity index 100% rename from SurgeData/N=1000/740-peak_c.csv rename to SurgeData/740-peak_c.csv diff --git a/SurgeData/N=1000/740-peak_w.csv b/SurgeData/740-peak_w.csv similarity index 100% rename from SurgeData/N=1000/740-peak_w.csv rename to SurgeData/740-peak_w.csv diff --git a/SurgeData/N=1000/740-surge_c.csv b/SurgeData/740-surge_c.csv similarity index 100% rename from SurgeData/N=1000/740-surge_c.csv rename to SurgeData/740-surge_c.csv diff --git a/SurgeData/N=1000/740-surge_w.csv b/SurgeData/740-surge_w.csv similarity index 100% rename from SurgeData/N=1000/740-surge_w.csv rename to SurgeData/740-surge_w.csv diff --git a/SurgeData/N=1000/740-time_c.csv b/SurgeData/740-time_c.csv similarity index 100% rename from SurgeData/N=1000/740-time_c.csv rename to SurgeData/740-time_c.csv diff --git a/SurgeData/N=1000/740-time_w.csv b/SurgeData/740-time_w.csv similarity index 100% rename from SurgeData/N=1000/740-time_w.csv rename to SurgeData/740-time_w.csv diff --git a/SurgeData/N=1000/740-waterlevel_c.csv b/SurgeData/740-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/740-waterlevel_c.csv rename to SurgeData/740-waterlevel_c.csv diff --git a/SurgeData/N=1000/740-waterlevel_w.csv b/SurgeData/740-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/740-waterlevel_w.csv rename to SurgeData/740-waterlevel_w.csv diff --git a/SurgeData/741-num_storm.csv b/SurgeData/741-num_storm.csv new file mode 100644 index 00000000..7625ca1b --- /dev/null +++ b/SurgeData/741-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,0.0,2.0 +2022,2.0,6.0 +2023,0.0,3.0 +2024,1.0,2.0 +2025,1.0,8.0 +2026,1.0,4.0 +2027,3.0,4.0 +2028,2.0,5.0 +2029,2.0,5.0 +2030,2.0,10.0 +2031,2.0,4.0 +2032,0.0,4.0 +2033,0.0,6.0 +2034,1.0,6.0 +2035,0.0,3.0 +2036,2.0,1.0 +2037,2.0,6.0 +2038,0.0,4.0 +2039,1.0,3.0 +2040,2.0,5.0 +2041,1.0,7.0 +2042,1.0,7.0 +2043,0.0,4.0 +2044,0.0,6.0 +2045,1.0,0.0 +2046,4.0,4.0 +2047,2.0,2.0 +2048,1.0,7.0 +2049,1.0,7.0 +2050,2.0,4.0 +2051,1.0,2.0 +2052,2.0,6.0 +2053,2.0,3.0 +2054,3.0,3.0 +2055,4.0,2.0 +2056,1.0,3.0 +2057,0.0,2.0 +2058,0.0,6.0 +2059,0.0,2.0 +2060,4.0,1.0 +2061,3.0,3.0 +2062,3.0,0.0 +2063,0.0,5.0 +2064,0.0,4.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,3.0,7.0 +2068,3.0,5.0 +2069,0.0,4.0 +2070,1.0,5.0 +2071,2.0,2.0 +2072,0.0,6.0 +2073,2.0,6.0 +2074,2.0,4.0 +2075,1.0,4.0 +2076,2.0,6.0 +2077,1.0,2.0 +2078,0.0,3.0 +2079,0.0,4.0 +2080,0.0,2.0 +2081,3.0,2.0 +2082,1.0,6.0 +2083,0.0,7.0 +2084,3.0,4.0 +2085,1.0,6.0 +2086,1.0,8.0 +2087,2.0,2.0 +2088,4.0,4.0 +2089,2.0,4.0 +2090,0.0,3.0 +2091,2.0,3.0 +2092,0.0,6.0 +2093,1.0,5.0 +2094,1.0,3.0 +2095,3.0,8.0 +2096,1.0,5.0 +2097,3.0,2.0 +2098,0.0,8.0 +2099,1.0,6.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/741-peak+year_c.csv b/SurgeData/741-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/741-peak+year_c.csv rename to SurgeData/741-peak+year_c.csv diff --git a/SurgeData/N=1000/741-peak+year_w.csv b/SurgeData/741-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/741-peak+year_w.csv rename to SurgeData/741-peak+year_w.csv diff --git a/SurgeData/N=1000/741-peak_c.csv b/SurgeData/741-peak_c.csv similarity index 100% rename from SurgeData/N=1000/741-peak_c.csv rename to SurgeData/741-peak_c.csv diff --git a/SurgeData/N=1000/741-peak_w.csv b/SurgeData/741-peak_w.csv similarity index 100% rename from SurgeData/N=1000/741-peak_w.csv rename to SurgeData/741-peak_w.csv diff --git a/SurgeData/N=1000/741-surge_c.csv b/SurgeData/741-surge_c.csv similarity index 100% rename from SurgeData/N=1000/741-surge_c.csv rename to SurgeData/741-surge_c.csv diff --git a/SurgeData/N=1000/741-surge_w.csv b/SurgeData/741-surge_w.csv similarity index 100% rename from SurgeData/N=1000/741-surge_w.csv rename to SurgeData/741-surge_w.csv diff --git a/SurgeData/N=1000/741-time_c.csv b/SurgeData/741-time_c.csv similarity index 100% rename from SurgeData/N=1000/741-time_c.csv rename to SurgeData/741-time_c.csv diff --git a/SurgeData/N=1000/741-time_w.csv b/SurgeData/741-time_w.csv similarity index 100% rename from SurgeData/N=1000/741-time_w.csv rename to SurgeData/741-time_w.csv diff --git a/SurgeData/N=1000/741-waterlevel_c.csv b/SurgeData/741-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/741-waterlevel_c.csv rename to SurgeData/741-waterlevel_c.csv diff --git a/SurgeData/N=1000/741-waterlevel_w.csv b/SurgeData/741-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/741-waterlevel_w.csv rename to SurgeData/741-waterlevel_w.csv diff --git a/SurgeData/742-num_storm.csv b/SurgeData/742-num_storm.csv new file mode 100644 index 00000000..41eed237 --- /dev/null +++ b/SurgeData/742-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,7.0 +2022,2.0,8.0 +2023,2.0,1.0 +2024,2.0,7.0 +2025,2.0,6.0 +2026,2.0,2.0 +2027,4.0,2.0 +2028,2.0,8.0 +2029,1.0,4.0 +2030,0.0,6.0 +2031,2.0,6.0 +2032,0.0,5.0 +2033,0.0,4.0 +2034,0.0,6.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,0.0,5.0 +2038,2.0,10.0 +2039,2.0,4.0 +2040,1.0,3.0 +2041,0.0,6.0 +2042,3.0,6.0 +2043,0.0,2.0 +2044,2.0,3.0 +2045,2.0,5.0 +2046,2.0,3.0 +2047,1.0,6.0 +2048,2.0,6.0 +2049,1.0,9.0 +2050,2.0,7.0 +2051,4.0,6.0 +2052,0.0,5.0 +2053,1.0,2.0 +2054,1.0,6.0 +2055,0.0,9.0 +2056,3.0,3.0 +2057,0.0,3.0 +2058,0.0,3.0 +2059,0.0,4.0 +2060,2.0,4.0 +2061,3.0,3.0 +2062,1.0,7.0 +2063,1.0,1.0 +2064,1.0,3.0 +2065,1.0,8.0 +2066,2.0,5.0 +2067,3.0,7.0 +2068,0.0,1.0 +2069,1.0,3.0 +2070,1.0,6.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,2.0,3.0 +2074,1.0,6.0 +2075,2.0,2.0 +2076,1.0,3.0 +2077,0.0,5.0 +2078,1.0,5.0 +2079,3.0,4.0 +2080,1.0,4.0 +2081,1.0,7.0 +2082,1.0,8.0 +2083,2.0,4.0 +2084,1.0,3.0 +2085,1.0,2.0 +2086,1.0,1.0 +2087,1.0,3.0 +2088,1.0,2.0 +2089,1.0,4.0 +2090,1.0,2.0 +2091,2.0,4.0 +2092,2.0,7.0 +2093,3.0,0.0 +2094,6.0,3.0 +2095,1.0,5.0 +2096,4.0,2.0 +2097,1.0,2.0 +2098,1.0,6.0 +2099,0.0,10.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/742-peak+year_c.csv b/SurgeData/742-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/742-peak+year_c.csv rename to SurgeData/742-peak+year_c.csv diff --git a/SurgeData/N=1000/742-peak+year_w.csv b/SurgeData/742-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/742-peak+year_w.csv rename to SurgeData/742-peak+year_w.csv diff --git a/SurgeData/N=1000/742-peak_c.csv b/SurgeData/742-peak_c.csv similarity index 100% rename from SurgeData/N=1000/742-peak_c.csv rename to SurgeData/742-peak_c.csv diff --git a/SurgeData/N=1000/742-peak_w.csv b/SurgeData/742-peak_w.csv similarity index 100% rename from SurgeData/N=1000/742-peak_w.csv rename to SurgeData/742-peak_w.csv diff --git a/SurgeData/N=1000/742-surge_c.csv b/SurgeData/742-surge_c.csv similarity index 100% rename from SurgeData/N=1000/742-surge_c.csv rename to SurgeData/742-surge_c.csv diff --git a/SurgeData/N=1000/742-surge_w.csv b/SurgeData/742-surge_w.csv similarity index 100% rename from SurgeData/N=1000/742-surge_w.csv rename to SurgeData/742-surge_w.csv diff --git a/SurgeData/N=1000/742-time_c.csv b/SurgeData/742-time_c.csv similarity index 100% rename from SurgeData/N=1000/742-time_c.csv rename to SurgeData/742-time_c.csv diff --git a/SurgeData/N=1000/742-time_w.csv b/SurgeData/742-time_w.csv similarity index 100% rename from SurgeData/N=1000/742-time_w.csv rename to SurgeData/742-time_w.csv diff --git a/SurgeData/N=1000/742-waterlevel_c.csv b/SurgeData/742-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/742-waterlevel_c.csv rename to SurgeData/742-waterlevel_c.csv diff --git a/SurgeData/N=1000/742-waterlevel_w.csv b/SurgeData/742-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/742-waterlevel_w.csv rename to SurgeData/742-waterlevel_w.csv diff --git a/SurgeData/743-num_storm.csv b/SurgeData/743-num_storm.csv new file mode 100644 index 00000000..1e6cfa65 --- /dev/null +++ b/SurgeData/743-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,6.0 +2022,1.0,6.0 +2023,2.0,6.0 +2024,1.0,2.0 +2025,1.0,2.0 +2026,0.0,4.0 +2027,1.0,3.0 +2028,0.0,2.0 +2029,1.0,1.0 +2030,3.0,3.0 +2031,3.0,6.0 +2032,1.0,3.0 +2033,0.0,7.0 +2034,2.0,1.0 +2035,1.0,4.0 +2036,0.0,6.0 +2037,0.0,4.0 +2038,2.0,6.0 +2039,2.0,6.0 +2040,2.0,3.0 +2041,0.0,2.0 +2042,0.0,7.0 +2043,2.0,3.0 +2044,2.0,5.0 +2045,2.0,5.0 +2046,1.0,1.0 +2047,2.0,7.0 +2048,1.0,2.0 +2049,0.0,2.0 +2050,3.0,7.0 +2051,1.0,5.0 +2052,0.0,6.0 +2053,1.0,4.0 +2054,2.0,2.0 +2055,2.0,3.0 +2056,1.0,5.0 +2057,2.0,4.0 +2058,0.0,1.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,0.0,5.0 +2062,3.0,5.0 +2063,2.0,9.0 +2064,2.0,2.0 +2065,0.0,2.0 +2066,2.0,4.0 +2067,2.0,7.0 +2068,2.0,3.0 +2069,1.0,3.0 +2070,1.0,3.0 +2071,1.0,5.0 +2072,2.0,2.0 +2073,2.0,2.0 +2074,1.0,5.0 +2075,2.0,3.0 +2076,1.0,1.0 +2077,1.0,5.0 +2078,2.0,6.0 +2079,1.0,4.0 +2080,0.0,4.0 +2081,2.0,4.0 +2082,1.0,7.0 +2083,1.0,7.0 +2084,3.0,4.0 +2085,5.0,6.0 +2086,0.0,1.0 +2087,3.0,4.0 +2088,2.0,5.0 +2089,3.0,1.0 +2090,1.0,3.0 +2091,1.0,4.0 +2092,2.0,4.0 +2093,1.0,1.0 +2094,1.0,6.0 +2095,1.0,6.0 +2096,0.0,7.0 +2097,1.0,6.0 +2098,0.0,5.0 +2099,2.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/743-peak+year_c.csv b/SurgeData/743-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/743-peak+year_c.csv rename to SurgeData/743-peak+year_c.csv diff --git a/SurgeData/N=1000/743-peak+year_w.csv b/SurgeData/743-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/743-peak+year_w.csv rename to SurgeData/743-peak+year_w.csv diff --git a/SurgeData/N=1000/743-peak_c.csv b/SurgeData/743-peak_c.csv similarity index 100% rename from SurgeData/N=1000/743-peak_c.csv rename to SurgeData/743-peak_c.csv diff --git a/SurgeData/N=1000/743-peak_w.csv b/SurgeData/743-peak_w.csv similarity index 100% rename from SurgeData/N=1000/743-peak_w.csv rename to SurgeData/743-peak_w.csv diff --git a/SurgeData/N=1000/743-surge_c.csv b/SurgeData/743-surge_c.csv similarity index 100% rename from SurgeData/N=1000/743-surge_c.csv rename to SurgeData/743-surge_c.csv diff --git a/SurgeData/N=1000/743-surge_w.csv b/SurgeData/743-surge_w.csv similarity index 100% rename from SurgeData/N=1000/743-surge_w.csv rename to SurgeData/743-surge_w.csv diff --git a/SurgeData/N=1000/743-time_c.csv b/SurgeData/743-time_c.csv similarity index 100% rename from SurgeData/N=1000/743-time_c.csv rename to SurgeData/743-time_c.csv diff --git a/SurgeData/N=1000/743-time_w.csv b/SurgeData/743-time_w.csv similarity index 100% rename from SurgeData/N=1000/743-time_w.csv rename to SurgeData/743-time_w.csv diff --git a/SurgeData/N=1000/743-waterlevel_c.csv b/SurgeData/743-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/743-waterlevel_c.csv rename to SurgeData/743-waterlevel_c.csv diff --git a/SurgeData/N=1000/743-waterlevel_w.csv b/SurgeData/743-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/743-waterlevel_w.csv rename to SurgeData/743-waterlevel_w.csv diff --git a/SurgeData/744-num_storm.csv b/SurgeData/744-num_storm.csv new file mode 100644 index 00000000..7382eba7 --- /dev/null +++ b/SurgeData/744-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,6.0 +2022,2.0,7.0 +2023,1.0,4.0 +2024,2.0,8.0 +2025,4.0,2.0 +2026,2.0,2.0 +2027,2.0,2.0 +2028,1.0,1.0 +2029,2.0,8.0 +2030,1.0,4.0 +2031,1.0,7.0 +2032,0.0,3.0 +2033,2.0,6.0 +2034,2.0,5.0 +2035,0.0,7.0 +2036,3.0,3.0 +2037,2.0,8.0 +2038,0.0,3.0 +2039,2.0,6.0 +2040,3.0,4.0 +2041,3.0,3.0 +2042,1.0,7.0 +2043,2.0,1.0 +2044,1.0,1.0 +2045,2.0,8.0 +2046,2.0,4.0 +2047,1.0,2.0 +2048,3.0,3.0 +2049,1.0,5.0 +2050,2.0,1.0 +2051,1.0,9.0 +2052,1.0,4.0 +2053,2.0,7.0 +2054,1.0,5.0 +2055,0.0,2.0 +2056,1.0,5.0 +2057,0.0,9.0 +2058,3.0,6.0 +2059,0.0,3.0 +2060,2.0,8.0 +2061,0.0,3.0 +2062,1.0,4.0 +2063,1.0,3.0 +2064,4.0,2.0 +2065,1.0,6.0 +2066,4.0,2.0 +2067,2.0,5.0 +2068,3.0,3.0 +2069,3.0,7.0 +2070,4.0,7.0 +2071,1.0,5.0 +2072,0.0,3.0 +2073,3.0,3.0 +2074,1.0,3.0 +2075,3.0,4.0 +2076,1.0,6.0 +2077,3.0,4.0 +2078,2.0,1.0 +2079,1.0,8.0 +2080,2.0,2.0 +2081,1.0,4.0 +2082,3.0,5.0 +2083,0.0,2.0 +2084,1.0,7.0 +2085,0.0,7.0 +2086,0.0,8.0 +2087,3.0,5.0 +2088,2.0,7.0 +2089,1.0,3.0 +2090,1.0,2.0 +2091,0.0,6.0 +2092,3.0,6.0 +2093,2.0,2.0 +2094,0.0,1.0 +2095,3.0,5.0 +2096,2.0,7.0 +2097,1.0,3.0 +2098,2.0,4.0 +2099,0.0,4.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/744-peak+year_c.csv b/SurgeData/744-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/744-peak+year_c.csv rename to SurgeData/744-peak+year_c.csv diff --git a/SurgeData/N=1000/744-peak+year_w.csv b/SurgeData/744-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/744-peak+year_w.csv rename to SurgeData/744-peak+year_w.csv diff --git a/SurgeData/N=1000/744-peak_c.csv b/SurgeData/744-peak_c.csv similarity index 100% rename from SurgeData/N=1000/744-peak_c.csv rename to SurgeData/744-peak_c.csv diff --git a/SurgeData/N=1000/744-peak_w.csv b/SurgeData/744-peak_w.csv similarity index 100% rename from SurgeData/N=1000/744-peak_w.csv rename to SurgeData/744-peak_w.csv diff --git a/SurgeData/N=1000/744-surge_c.csv b/SurgeData/744-surge_c.csv similarity index 100% rename from SurgeData/N=1000/744-surge_c.csv rename to SurgeData/744-surge_c.csv diff --git a/SurgeData/N=1000/744-surge_w.csv b/SurgeData/744-surge_w.csv similarity index 100% rename from SurgeData/N=1000/744-surge_w.csv rename to SurgeData/744-surge_w.csv diff --git a/SurgeData/N=1000/744-time_c.csv b/SurgeData/744-time_c.csv similarity index 100% rename from SurgeData/N=1000/744-time_c.csv rename to SurgeData/744-time_c.csv diff --git a/SurgeData/N=1000/744-time_w.csv b/SurgeData/744-time_w.csv similarity index 100% rename from SurgeData/N=1000/744-time_w.csv rename to SurgeData/744-time_w.csv diff --git a/SurgeData/N=1000/744-waterlevel_c.csv b/SurgeData/744-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/744-waterlevel_c.csv rename to SurgeData/744-waterlevel_c.csv diff --git a/SurgeData/N=1000/744-waterlevel_w.csv b/SurgeData/744-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/744-waterlevel_w.csv rename to SurgeData/744-waterlevel_w.csv diff --git a/SurgeData/745-num_storm.csv b/SurgeData/745-num_storm.csv new file mode 100644 index 00000000..deb784c2 --- /dev/null +++ b/SurgeData/745-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,1.0,5.0 +2022,1.0,5.0 +2023,1.0,8.0 +2024,1.0,0.0 +2025,1.0,0.0 +2026,1.0,4.0 +2027,1.0,4.0 +2028,2.0,6.0 +2029,1.0,5.0 +2030,0.0,2.0 +2031,1.0,6.0 +2032,1.0,3.0 +2033,1.0,3.0 +2034,2.0,4.0 +2035,1.0,3.0 +2036,3.0,6.0 +2037,3.0,2.0 +2038,0.0,4.0 +2039,3.0,5.0 +2040,0.0,4.0 +2041,0.0,1.0 +2042,1.0,4.0 +2043,1.0,8.0 +2044,1.0,3.0 +2045,1.0,1.0 +2046,0.0,8.0 +2047,0.0,0.0 +2048,2.0,4.0 +2049,2.0,5.0 +2050,1.0,2.0 +2051,0.0,3.0 +2052,0.0,5.0 +2053,3.0,5.0 +2054,1.0,2.0 +2055,1.0,8.0 +2056,1.0,4.0 +2057,3.0,4.0 +2058,0.0,4.0 +2059,2.0,2.0 +2060,2.0,3.0 +2061,1.0,2.0 +2062,1.0,1.0 +2063,0.0,5.0 +2064,3.0,5.0 +2065,2.0,4.0 +2066,1.0,4.0 +2067,0.0,2.0 +2068,0.0,2.0 +2069,0.0,10.0 +2070,3.0,5.0 +2071,2.0,2.0 +2072,0.0,7.0 +2073,3.0,3.0 +2074,0.0,5.0 +2075,4.0,4.0 +2076,1.0,3.0 +2077,0.0,6.0 +2078,0.0,6.0 +2079,2.0,6.0 +2080,2.0,6.0 +2081,1.0,4.0 +2082,4.0,10.0 +2083,1.0,3.0 +2084,0.0,2.0 +2085,0.0,5.0 +2086,1.0,4.0 +2087,1.0,5.0 +2088,2.0,2.0 +2089,2.0,11.0 +2090,0.0,9.0 +2091,0.0,6.0 +2092,3.0,3.0 +2093,1.0,5.0 +2094,2.0,5.0 +2095,2.0,4.0 +2096,1.0,5.0 +2097,2.0,1.0 +2098,2.0,3.0 +2099,0.0,2.0 +2100,5.0,5.0 diff --git a/SurgeData/N=1000/745-peak+year_c.csv b/SurgeData/745-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/745-peak+year_c.csv rename to SurgeData/745-peak+year_c.csv diff --git a/SurgeData/N=1000/745-peak+year_w.csv b/SurgeData/745-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/745-peak+year_w.csv rename to SurgeData/745-peak+year_w.csv diff --git a/SurgeData/N=1000/745-peak_c.csv b/SurgeData/745-peak_c.csv similarity index 100% rename from SurgeData/N=1000/745-peak_c.csv rename to SurgeData/745-peak_c.csv diff --git a/SurgeData/N=1000/745-peak_w.csv b/SurgeData/745-peak_w.csv similarity index 100% rename from SurgeData/N=1000/745-peak_w.csv rename to SurgeData/745-peak_w.csv diff --git a/SurgeData/N=1000/745-surge_c.csv b/SurgeData/745-surge_c.csv similarity index 100% rename from SurgeData/N=1000/745-surge_c.csv rename to SurgeData/745-surge_c.csv diff --git a/SurgeData/N=1000/745-surge_w.csv b/SurgeData/745-surge_w.csv similarity index 100% rename from SurgeData/N=1000/745-surge_w.csv rename to SurgeData/745-surge_w.csv diff --git a/SurgeData/N=1000/745-time_c.csv b/SurgeData/745-time_c.csv similarity index 100% rename from SurgeData/N=1000/745-time_c.csv rename to SurgeData/745-time_c.csv diff --git a/SurgeData/N=1000/745-time_w.csv b/SurgeData/745-time_w.csv similarity index 100% rename from SurgeData/N=1000/745-time_w.csv rename to SurgeData/745-time_w.csv diff --git a/SurgeData/N=1000/745-waterlevel_c.csv b/SurgeData/745-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/745-waterlevel_c.csv rename to SurgeData/745-waterlevel_c.csv diff --git a/SurgeData/N=1000/745-waterlevel_w.csv b/SurgeData/745-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/745-waterlevel_w.csv rename to SurgeData/745-waterlevel_w.csv diff --git a/SurgeData/746-num_storm.csv b/SurgeData/746-num_storm.csv new file mode 100644 index 00000000..bf271046 --- /dev/null +++ b/SurgeData/746-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,11.0 +2022,2.0,3.0 +2023,3.0,6.0 +2024,0.0,6.0 +2025,0.0,2.0 +2026,1.0,5.0 +2027,2.0,3.0 +2028,3.0,3.0 +2029,0.0,4.0 +2030,2.0,4.0 +2031,2.0,2.0 +2032,2.0,6.0 +2033,2.0,3.0 +2034,0.0,6.0 +2035,0.0,3.0 +2036,0.0,2.0 +2037,2.0,4.0 +2038,3.0,5.0 +2039,0.0,5.0 +2040,0.0,3.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,1.0,2.0 +2044,0.0,5.0 +2045,3.0,2.0 +2046,5.0,2.0 +2047,0.0,4.0 +2048,2.0,3.0 +2049,1.0,4.0 +2050,0.0,5.0 +2051,2.0,4.0 +2052,0.0,3.0 +2053,1.0,2.0 +2054,2.0,2.0 +2055,2.0,6.0 +2056,0.0,3.0 +2057,1.0,2.0 +2058,1.0,1.0 +2059,1.0,3.0 +2060,2.0,1.0 +2061,0.0,3.0 +2062,2.0,4.0 +2063,0.0,4.0 +2064,0.0,2.0 +2065,4.0,2.0 +2066,1.0,5.0 +2067,1.0,5.0 +2068,1.0,4.0 +2069,1.0,2.0 +2070,1.0,4.0 +2071,0.0,1.0 +2072,2.0,4.0 +2073,1.0,7.0 +2074,0.0,7.0 +2075,0.0,4.0 +2076,2.0,2.0 +2077,0.0,4.0 +2078,2.0,4.0 +2079,2.0,4.0 +2080,3.0,2.0 +2081,5.0,5.0 +2082,1.0,1.0 +2083,1.0,4.0 +2084,0.0,0.0 +2085,2.0,6.0 +2086,3.0,2.0 +2087,1.0,5.0 +2088,1.0,1.0 +2089,2.0,3.0 +2090,2.0,4.0 +2091,0.0,2.0 +2092,1.0,6.0 +2093,3.0,5.0 +2094,2.0,5.0 +2095,1.0,2.0 +2096,0.0,4.0 +2097,0.0,4.0 +2098,0.0,6.0 +2099,3.0,3.0 +2100,5.0,3.0 diff --git a/SurgeData/N=1000/746-peak+year_c.csv b/SurgeData/746-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/746-peak+year_c.csv rename to SurgeData/746-peak+year_c.csv diff --git a/SurgeData/N=1000/746-peak+year_w.csv b/SurgeData/746-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/746-peak+year_w.csv rename to SurgeData/746-peak+year_w.csv diff --git a/SurgeData/N=1000/746-peak_c.csv b/SurgeData/746-peak_c.csv similarity index 100% rename from SurgeData/N=1000/746-peak_c.csv rename to SurgeData/746-peak_c.csv diff --git a/SurgeData/N=1000/746-peak_w.csv b/SurgeData/746-peak_w.csv similarity index 100% rename from SurgeData/N=1000/746-peak_w.csv rename to SurgeData/746-peak_w.csv diff --git a/SurgeData/N=1000/746-surge_c.csv b/SurgeData/746-surge_c.csv similarity index 100% rename from SurgeData/N=1000/746-surge_c.csv rename to SurgeData/746-surge_c.csv diff --git a/SurgeData/N=1000/746-surge_w.csv b/SurgeData/746-surge_w.csv similarity index 100% rename from SurgeData/N=1000/746-surge_w.csv rename to SurgeData/746-surge_w.csv diff --git a/SurgeData/N=1000/746-time_c.csv b/SurgeData/746-time_c.csv similarity index 100% rename from SurgeData/N=1000/746-time_c.csv rename to SurgeData/746-time_c.csv diff --git a/SurgeData/N=1000/746-time_w.csv b/SurgeData/746-time_w.csv similarity index 100% rename from SurgeData/N=1000/746-time_w.csv rename to SurgeData/746-time_w.csv diff --git a/SurgeData/N=1000/746-waterlevel_c.csv b/SurgeData/746-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/746-waterlevel_c.csv rename to SurgeData/746-waterlevel_c.csv diff --git a/SurgeData/N=1000/746-waterlevel_w.csv b/SurgeData/746-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/746-waterlevel_w.csv rename to SurgeData/746-waterlevel_w.csv diff --git a/SurgeData/N=1000/747-peak+year_c.csv b/SurgeData/747-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/747-peak+year_c.csv rename to SurgeData/747-peak+year_c.csv diff --git a/SurgeData/N=1000/747-peak+year_w.csv b/SurgeData/747-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/747-peak+year_w.csv rename to SurgeData/747-peak+year_w.csv diff --git a/SurgeData/N=1000/747-peak_c.csv b/SurgeData/747-peak_c.csv similarity index 100% rename from SurgeData/N=1000/747-peak_c.csv rename to SurgeData/747-peak_c.csv diff --git a/SurgeData/N=1000/747-peak_w.csv b/SurgeData/747-peak_w.csv similarity index 100% rename from SurgeData/N=1000/747-peak_w.csv rename to SurgeData/747-peak_w.csv diff --git a/SurgeData/N=1000/747-surge_c.csv b/SurgeData/747-surge_c.csv similarity index 100% rename from SurgeData/N=1000/747-surge_c.csv rename to SurgeData/747-surge_c.csv diff --git a/SurgeData/N=1000/747-surge_w.csv b/SurgeData/747-surge_w.csv similarity index 100% rename from SurgeData/N=1000/747-surge_w.csv rename to SurgeData/747-surge_w.csv diff --git a/SurgeData/N=1000/747-time_c.csv b/SurgeData/747-time_c.csv similarity index 100% rename from SurgeData/N=1000/747-time_c.csv rename to SurgeData/747-time_c.csv diff --git a/SurgeData/N=1000/747-time_w.csv b/SurgeData/747-time_w.csv similarity index 100% rename from SurgeData/N=1000/747-time_w.csv rename to SurgeData/747-time_w.csv diff --git a/SurgeData/N=1000/747-waterlevel_c.csv b/SurgeData/747-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/747-waterlevel_c.csv rename to SurgeData/747-waterlevel_c.csv diff --git a/SurgeData/N=1000/747-waterlevel_w.csv b/SurgeData/747-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/747-waterlevel_w.csv rename to SurgeData/747-waterlevel_w.csv diff --git a/SurgeData/748-num_storm.csv b/SurgeData/748-num_storm.csv new file mode 100644 index 00000000..851624e2 --- /dev/null +++ b/SurgeData/748-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,2.0,5.0 +2022,1.0,2.0 +2023,1.0,1.0 +2024,1.0,6.0 +2025,1.0,3.0 +2026,2.0,1.0 +2027,1.0,3.0 +2028,0.0,2.0 +2029,0.0,6.0 +2030,0.0,8.0 +2031,3.0,6.0 +2032,3.0,3.0 +2033,0.0,7.0 +2034,2.0,4.0 +2035,0.0,2.0 +2036,2.0,5.0 +2037,0.0,7.0 +2038,3.0,1.0 +2039,3.0,3.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,2.0,4.0 +2043,5.0,2.0 +2044,2.0,4.0 +2045,0.0,5.0 +2046,2.0,1.0 +2047,0.0,2.0 +2048,2.0,4.0 +2049,3.0,6.0 +2050,1.0,5.0 +2051,0.0,3.0 +2052,1.0,3.0 +2053,0.0,6.0 +2054,0.0,4.0 +2055,0.0,3.0 +2056,1.0,1.0 +2057,2.0,4.0 +2058,1.0,3.0 +2059,1.0,4.0 +2060,2.0,4.0 +2061,2.0,5.0 +2062,3.0,5.0 +2063,1.0,2.0 +2064,0.0,8.0 +2065,0.0,5.0 +2066,1.0,2.0 +2067,2.0,4.0 +2068,1.0,6.0 +2069,2.0,7.0 +2070,2.0,5.0 +2071,3.0,6.0 +2072,2.0,4.0 +2073,5.0,8.0 +2074,4.0,6.0 +2075,1.0,9.0 +2076,1.0,5.0 +2077,3.0,4.0 +2078,2.0,6.0 +2079,1.0,3.0 +2080,3.0,4.0 +2081,2.0,3.0 +2082,1.0,6.0 +2083,2.0,11.0 +2084,0.0,8.0 +2085,4.0,5.0 +2086,2.0,8.0 +2087,1.0,3.0 +2088,2.0,4.0 +2089,1.0,2.0 +2090,2.0,4.0 +2091,0.0,1.0 +2092,1.0,8.0 +2093,3.0,4.0 +2094,2.0,2.0 +2095,4.0,5.0 +2096,0.0,4.0 +2097,1.0,4.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/748-peak+year_c.csv b/SurgeData/748-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/748-peak+year_c.csv rename to SurgeData/748-peak+year_c.csv diff --git a/SurgeData/N=1000/748-peak+year_w.csv b/SurgeData/748-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/748-peak+year_w.csv rename to SurgeData/748-peak+year_w.csv diff --git a/SurgeData/N=1000/748-peak_c.csv b/SurgeData/748-peak_c.csv similarity index 100% rename from SurgeData/N=1000/748-peak_c.csv rename to SurgeData/748-peak_c.csv diff --git a/SurgeData/N=1000/748-peak_w.csv b/SurgeData/748-peak_w.csv similarity index 100% rename from SurgeData/N=1000/748-peak_w.csv rename to SurgeData/748-peak_w.csv diff --git a/SurgeData/N=1000/748-surge_c.csv b/SurgeData/748-surge_c.csv similarity index 100% rename from SurgeData/N=1000/748-surge_c.csv rename to SurgeData/748-surge_c.csv diff --git a/SurgeData/N=1000/748-surge_w.csv b/SurgeData/748-surge_w.csv similarity index 100% rename from SurgeData/N=1000/748-surge_w.csv rename to SurgeData/748-surge_w.csv diff --git a/SurgeData/N=1000/748-time_c.csv b/SurgeData/748-time_c.csv similarity index 100% rename from SurgeData/N=1000/748-time_c.csv rename to SurgeData/748-time_c.csv diff --git a/SurgeData/N=1000/748-time_w.csv b/SurgeData/748-time_w.csv similarity index 100% rename from SurgeData/N=1000/748-time_w.csv rename to SurgeData/748-time_w.csv diff --git a/SurgeData/N=1000/748-waterlevel_c.csv b/SurgeData/748-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/748-waterlevel_c.csv rename to SurgeData/748-waterlevel_c.csv diff --git a/SurgeData/N=1000/748-waterlevel_w.csv b/SurgeData/748-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/748-waterlevel_w.csv rename to SurgeData/748-waterlevel_w.csv diff --git a/SurgeData/749-num_storm.csv b/SurgeData/749-num_storm.csv new file mode 100644 index 00000000..99039e11 --- /dev/null +++ b/SurgeData/749-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,3.0,6.0 +2022,3.0,5.0 +2023,2.0,4.0 +2024,2.0,3.0 +2025,0.0,5.0 +2026,2.0,4.0 +2027,4.0,2.0 +2028,0.0,0.0 +2029,1.0,7.0 +2030,2.0,5.0 +2031,1.0,4.0 +2032,2.0,9.0 +2033,1.0,3.0 +2034,5.0,5.0 +2035,0.0,3.0 +2036,1.0,3.0 +2037,0.0,4.0 +2038,2.0,5.0 +2039,0.0,3.0 +2040,0.0,4.0 +2041,1.0,3.0 +2042,2.0,6.0 +2043,2.0,4.0 +2044,0.0,1.0 +2045,0.0,3.0 +2046,3.0,1.0 +2047,0.0,9.0 +2048,3.0,5.0 +2049,1.0,5.0 +2050,3.0,6.0 +2051,1.0,2.0 +2052,2.0,3.0 +2053,2.0,5.0 +2054,4.0,2.0 +2055,0.0,5.0 +2056,2.0,2.0 +2057,0.0,3.0 +2058,2.0,7.0 +2059,2.0,3.0 +2060,2.0,2.0 +2061,3.0,7.0 +2062,4.0,3.0 +2063,0.0,1.0 +2064,1.0,7.0 +2065,2.0,3.0 +2066,0.0,3.0 +2067,3.0,2.0 +2068,1.0,2.0 +2069,0.0,2.0 +2070,1.0,3.0 +2071,0.0,0.0 +2072,1.0,2.0 +2073,2.0,2.0 +2074,1.0,9.0 +2075,2.0,3.0 +2076,1.0,1.0 +2077,2.0,8.0 +2078,0.0,2.0 +2079,3.0,6.0 +2080,3.0,8.0 +2081,2.0,6.0 +2082,3.0,6.0 +2083,1.0,2.0 +2084,1.0,5.0 +2085,0.0,7.0 +2086,1.0,4.0 +2087,3.0,3.0 +2088,2.0,6.0 +2089,2.0,5.0 +2090,2.0,5.0 +2091,3.0,3.0 +2092,4.0,5.0 +2093,0.0,4.0 +2094,4.0,3.0 +2095,1.0,8.0 +2096,3.0,2.0 +2097,1.0,3.0 +2098,2.0,4.0 +2099,1.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/749-peak+year_c.csv b/SurgeData/749-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/749-peak+year_c.csv rename to SurgeData/749-peak+year_c.csv diff --git a/SurgeData/N=1000/749-peak+year_w.csv b/SurgeData/749-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/749-peak+year_w.csv rename to SurgeData/749-peak+year_w.csv diff --git a/SurgeData/N=1000/749-peak_c.csv b/SurgeData/749-peak_c.csv similarity index 100% rename from SurgeData/N=1000/749-peak_c.csv rename to SurgeData/749-peak_c.csv diff --git a/SurgeData/N=1000/749-peak_w.csv b/SurgeData/749-peak_w.csv similarity index 100% rename from SurgeData/N=1000/749-peak_w.csv rename to SurgeData/749-peak_w.csv diff --git a/SurgeData/N=1000/749-surge_c.csv b/SurgeData/749-surge_c.csv similarity index 100% rename from SurgeData/N=1000/749-surge_c.csv rename to SurgeData/749-surge_c.csv diff --git a/SurgeData/N=1000/749-surge_w.csv b/SurgeData/749-surge_w.csv similarity index 100% rename from SurgeData/N=1000/749-surge_w.csv rename to SurgeData/749-surge_w.csv diff --git a/SurgeData/N=1000/749-time_c.csv b/SurgeData/749-time_c.csv similarity index 100% rename from SurgeData/N=1000/749-time_c.csv rename to SurgeData/749-time_c.csv diff --git a/SurgeData/N=1000/749-time_w.csv b/SurgeData/749-time_w.csv similarity index 100% rename from SurgeData/N=1000/749-time_w.csv rename to SurgeData/749-time_w.csv diff --git a/SurgeData/N=1000/749-waterlevel_c.csv b/SurgeData/749-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/749-waterlevel_c.csv rename to SurgeData/749-waterlevel_c.csv diff --git a/SurgeData/N=1000/749-waterlevel_w.csv b/SurgeData/749-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/749-waterlevel_w.csv rename to SurgeData/749-waterlevel_w.csv diff --git a/SurgeData/75-num_storm.csv b/SurgeData/75-num_storm.csv new file mode 100644 index 00000000..4b6002ea --- /dev/null +++ b/SurgeData/75-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,5.0,3.0 +2022,0.0,3.0 +2023,1.0,4.0 +2024,1.0,4.0 +2025,3.0,5.0 +2026,2.0,2.0 +2027,0.0,6.0 +2028,3.0,7.0 +2029,5.0,6.0 +2030,3.0,5.0 +2031,0.0,7.0 +2032,0.0,2.0 +2033,1.0,5.0 +2034,2.0,6.0 +2035,1.0,9.0 +2036,0.0,2.0 +2037,1.0,2.0 +2038,3.0,2.0 +2039,1.0,2.0 +2040,3.0,6.0 +2041,0.0,5.0 +2042,1.0,1.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,5.0,5.0 +2046,0.0,3.0 +2047,2.0,4.0 +2048,0.0,4.0 +2049,1.0,5.0 +2050,0.0,5.0 +2051,2.0,4.0 +2052,4.0,8.0 +2053,2.0,6.0 +2054,1.0,2.0 +2055,3.0,3.0 +2056,0.0,2.0 +2057,2.0,2.0 +2058,0.0,6.0 +2059,4.0,3.0 +2060,5.0,6.0 +2061,2.0,3.0 +2062,2.0,2.0 +2063,1.0,5.0 +2064,2.0,4.0 +2065,4.0,5.0 +2066,2.0,3.0 +2067,1.0,6.0 +2068,2.0,5.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,2.0,5.0 +2072,5.0,4.0 +2073,1.0,4.0 +2074,2.0,4.0 +2075,1.0,8.0 +2076,2.0,4.0 +2077,2.0,3.0 +2078,3.0,5.0 +2079,1.0,5.0 +2080,2.0,2.0 +2081,1.0,3.0 +2082,1.0,2.0 +2083,0.0,8.0 +2084,2.0,4.0 +2085,2.0,3.0 +2086,1.0,6.0 +2087,3.0,3.0 +2088,2.0,5.0 +2089,2.0,3.0 +2090,1.0,5.0 +2091,1.0,4.0 +2092,3.0,3.0 +2093,1.0,3.0 +2094,1.0,2.0 +2095,1.0,5.0 +2096,1.0,3.0 +2097,1.0,6.0 +2098,0.0,2.0 +2099,1.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/75-peak+year_c.csv b/SurgeData/75-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/75-peak+year_c.csv rename to SurgeData/75-peak+year_c.csv diff --git a/SurgeData/N=1000/75-peak+year_w.csv b/SurgeData/75-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/75-peak+year_w.csv rename to SurgeData/75-peak+year_w.csv diff --git a/SurgeData/N=1000/75-peak_c.csv b/SurgeData/75-peak_c.csv similarity index 100% rename from SurgeData/N=1000/75-peak_c.csv rename to SurgeData/75-peak_c.csv diff --git a/SurgeData/N=1000/75-peak_w.csv b/SurgeData/75-peak_w.csv similarity index 100% rename from SurgeData/N=1000/75-peak_w.csv rename to SurgeData/75-peak_w.csv diff --git a/SurgeData/N=1000/75-surge_c.csv b/SurgeData/75-surge_c.csv similarity index 100% rename from SurgeData/N=1000/75-surge_c.csv rename to SurgeData/75-surge_c.csv diff --git a/SurgeData/N=1000/75-surge_w.csv b/SurgeData/75-surge_w.csv similarity index 100% rename from SurgeData/N=1000/75-surge_w.csv rename to SurgeData/75-surge_w.csv diff --git a/SurgeData/N=1000/75-time_c.csv b/SurgeData/75-time_c.csv similarity index 100% rename from SurgeData/N=1000/75-time_c.csv rename to SurgeData/75-time_c.csv diff --git a/SurgeData/N=1000/75-time_w.csv b/SurgeData/75-time_w.csv similarity index 100% rename from SurgeData/N=1000/75-time_w.csv rename to SurgeData/75-time_w.csv diff --git a/SurgeData/N=1000/75-waterlevel_c.csv b/SurgeData/75-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/75-waterlevel_c.csv rename to SurgeData/75-waterlevel_c.csv diff --git a/SurgeData/N=1000/75-waterlevel_w.csv b/SurgeData/75-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/75-waterlevel_w.csv rename to SurgeData/75-waterlevel_w.csv diff --git a/SurgeData/750-num_storm.csv b/SurgeData/750-num_storm.csv new file mode 100644 index 00000000..1f6fcec1 --- /dev/null +++ b/SurgeData/750-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,5.0 +2022,1.0,2.0 +2023,3.0,4.0 +2024,2.0,2.0 +2025,1.0,1.0 +2026,3.0,2.0 +2027,1.0,1.0 +2028,1.0,7.0 +2029,2.0,5.0 +2030,2.0,2.0 +2031,2.0,6.0 +2032,1.0,3.0 +2033,3.0,5.0 +2034,1.0,4.0 +2035,3.0,3.0 +2036,5.0,8.0 +2037,1.0,5.0 +2038,1.0,4.0 +2039,3.0,3.0 +2040,3.0,6.0 +2041,2.0,2.0 +2042,4.0,5.0 +2043,4.0,3.0 +2044,2.0,7.0 +2045,0.0,5.0 +2046,0.0,1.0 +2047,1.0,2.0 +2048,3.0,3.0 +2049,1.0,6.0 +2050,1.0,2.0 +2051,3.0,4.0 +2052,1.0,5.0 +2053,1.0,4.0 +2054,3.0,5.0 +2055,1.0,3.0 +2056,2.0,6.0 +2057,0.0,4.0 +2058,3.0,1.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,1.0,7.0 +2062,3.0,5.0 +2063,1.0,2.0 +2064,2.0,7.0 +2065,1.0,3.0 +2066,1.0,4.0 +2067,2.0,3.0 +2068,0.0,5.0 +2069,2.0,2.0 +2070,1.0,3.0 +2071,1.0,3.0 +2072,1.0,5.0 +2073,3.0,1.0 +2074,1.0,4.0 +2075,3.0,6.0 +2076,2.0,4.0 +2077,4.0,5.0 +2078,0.0,5.0 +2079,1.0,3.0 +2080,4.0,4.0 +2081,0.0,3.0 +2082,2.0,1.0 +2083,1.0,2.0 +2084,3.0,2.0 +2085,1.0,3.0 +2086,0.0,3.0 +2087,2.0,3.0 +2088,4.0,3.0 +2089,0.0,5.0 +2090,2.0,6.0 +2091,2.0,3.0 +2092,1.0,4.0 +2093,4.0,2.0 +2094,1.0,4.0 +2095,0.0,2.0 +2096,3.0,6.0 +2097,0.0,4.0 +2098,2.0,8.0 +2099,2.0,4.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/750-peak+year_c.csv b/SurgeData/750-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/750-peak+year_c.csv rename to SurgeData/750-peak+year_c.csv diff --git a/SurgeData/N=1000/750-peak+year_w.csv b/SurgeData/750-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/750-peak+year_w.csv rename to SurgeData/750-peak+year_w.csv diff --git a/SurgeData/N=1000/750-peak_c.csv b/SurgeData/750-peak_c.csv similarity index 100% rename from SurgeData/N=1000/750-peak_c.csv rename to SurgeData/750-peak_c.csv diff --git a/SurgeData/N=1000/750-peak_w.csv b/SurgeData/750-peak_w.csv similarity index 100% rename from SurgeData/N=1000/750-peak_w.csv rename to SurgeData/750-peak_w.csv diff --git a/SurgeData/N=1000/750-surge_c.csv b/SurgeData/750-surge_c.csv similarity index 100% rename from SurgeData/N=1000/750-surge_c.csv rename to SurgeData/750-surge_c.csv diff --git a/SurgeData/N=1000/750-surge_w.csv b/SurgeData/750-surge_w.csv similarity index 100% rename from SurgeData/N=1000/750-surge_w.csv rename to SurgeData/750-surge_w.csv diff --git a/SurgeData/N=1000/750-time_c.csv b/SurgeData/750-time_c.csv similarity index 100% rename from SurgeData/N=1000/750-time_c.csv rename to SurgeData/750-time_c.csv diff --git a/SurgeData/N=1000/750-time_w.csv b/SurgeData/750-time_w.csv similarity index 100% rename from SurgeData/N=1000/750-time_w.csv rename to SurgeData/750-time_w.csv diff --git a/SurgeData/N=1000/750-waterlevel_c.csv b/SurgeData/750-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/750-waterlevel_c.csv rename to SurgeData/750-waterlevel_c.csv diff --git a/SurgeData/N=1000/750-waterlevel_w.csv b/SurgeData/750-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/750-waterlevel_w.csv rename to SurgeData/750-waterlevel_w.csv diff --git a/SurgeData/751-num_storm.csv b/SurgeData/751-num_storm.csv new file mode 100644 index 00000000..1c6bb1c4 --- /dev/null +++ b/SurgeData/751-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,6.0 +2022,0.0,4.0 +2023,1.0,3.0 +2024,1.0,2.0 +2025,0.0,6.0 +2026,2.0,5.0 +2027,1.0,3.0 +2028,1.0,2.0 +2029,1.0,2.0 +2030,0.0,2.0 +2031,2.0,3.0 +2032,0.0,4.0 +2033,3.0,5.0 +2034,2.0,4.0 +2035,6.0,5.0 +2036,2.0,1.0 +2037,1.0,1.0 +2038,4.0,2.0 +2039,1.0,4.0 +2040,0.0,2.0 +2041,0.0,6.0 +2042,1.0,5.0 +2043,1.0,1.0 +2044,0.0,1.0 +2045,1.0,3.0 +2046,2.0,4.0 +2047,1.0,2.0 +2048,3.0,5.0 +2049,1.0,3.0 +2050,4.0,11.0 +2051,2.0,3.0 +2052,2.0,8.0 +2053,3.0,3.0 +2054,1.0,5.0 +2055,3.0,1.0 +2056,1.0,4.0 +2057,1.0,8.0 +2058,1.0,3.0 +2059,1.0,7.0 +2060,2.0,9.0 +2061,0.0,6.0 +2062,5.0,5.0 +2063,0.0,6.0 +2064,2.0,1.0 +2065,1.0,4.0 +2066,0.0,5.0 +2067,0.0,3.0 +2068,2.0,1.0 +2069,3.0,4.0 +2070,2.0,5.0 +2071,0.0,3.0 +2072,0.0,3.0 +2073,0.0,6.0 +2074,4.0,9.0 +2075,0.0,3.0 +2076,2.0,4.0 +2077,1.0,2.0 +2078,1.0,1.0 +2079,1.0,1.0 +2080,2.0,5.0 +2081,2.0,4.0 +2082,0.0,3.0 +2083,2.0,8.0 +2084,0.0,3.0 +2085,4.0,3.0 +2086,0.0,2.0 +2087,0.0,3.0 +2088,0.0,9.0 +2089,3.0,5.0 +2090,1.0,2.0 +2091,2.0,4.0 +2092,2.0,5.0 +2093,1.0,6.0 +2094,2.0,6.0 +2095,1.0,4.0 +2096,2.0,5.0 +2097,0.0,2.0 +2098,0.0,3.0 +2099,0.0,3.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/751-peak+year_c.csv b/SurgeData/751-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/751-peak+year_c.csv rename to SurgeData/751-peak+year_c.csv diff --git a/SurgeData/N=1000/751-peak+year_w.csv b/SurgeData/751-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/751-peak+year_w.csv rename to SurgeData/751-peak+year_w.csv diff --git a/SurgeData/N=1000/751-peak_c.csv b/SurgeData/751-peak_c.csv similarity index 100% rename from SurgeData/N=1000/751-peak_c.csv rename to SurgeData/751-peak_c.csv diff --git a/SurgeData/N=1000/751-peak_w.csv b/SurgeData/751-peak_w.csv similarity index 100% rename from SurgeData/N=1000/751-peak_w.csv rename to SurgeData/751-peak_w.csv diff --git a/SurgeData/N=1000/751-surge_c.csv b/SurgeData/751-surge_c.csv similarity index 100% rename from SurgeData/N=1000/751-surge_c.csv rename to SurgeData/751-surge_c.csv diff --git a/SurgeData/N=1000/751-surge_w.csv b/SurgeData/751-surge_w.csv similarity index 100% rename from SurgeData/N=1000/751-surge_w.csv rename to SurgeData/751-surge_w.csv diff --git a/SurgeData/N=1000/751-time_c.csv b/SurgeData/751-time_c.csv similarity index 100% rename from SurgeData/N=1000/751-time_c.csv rename to SurgeData/751-time_c.csv diff --git a/SurgeData/N=1000/751-time_w.csv b/SurgeData/751-time_w.csv similarity index 100% rename from SurgeData/N=1000/751-time_w.csv rename to SurgeData/751-time_w.csv diff --git a/SurgeData/N=1000/751-waterlevel_c.csv b/SurgeData/751-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/751-waterlevel_c.csv rename to SurgeData/751-waterlevel_c.csv diff --git a/SurgeData/N=1000/751-waterlevel_w.csv b/SurgeData/751-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/751-waterlevel_w.csv rename to SurgeData/751-waterlevel_w.csv diff --git a/SurgeData/752-num_storm.csv b/SurgeData/752-num_storm.csv new file mode 100644 index 00000000..3afd613e --- /dev/null +++ b/SurgeData/752-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,2.0,8.0 +2022,0.0,2.0 +2023,5.0,7.0 +2024,1.0,3.0 +2025,1.0,2.0 +2026,4.0,4.0 +2027,1.0,5.0 +2028,0.0,4.0 +2029,0.0,4.0 +2030,2.0,3.0 +2031,0.0,3.0 +2032,4.0,2.0 +2033,0.0,4.0 +2034,2.0,1.0 +2035,0.0,4.0 +2036,1.0,5.0 +2037,1.0,5.0 +2038,2.0,3.0 +2039,1.0,5.0 +2040,3.0,2.0 +2041,1.0,5.0 +2042,2.0,5.0 +2043,3.0,6.0 +2044,1.0,4.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,2.0,8.0 +2048,1.0,5.0 +2049,0.0,5.0 +2050,2.0,4.0 +2051,3.0,6.0 +2052,0.0,2.0 +2053,3.0,4.0 +2054,2.0,3.0 +2055,1.0,7.0 +2056,2.0,2.0 +2057,1.0,4.0 +2058,3.0,6.0 +2059,1.0,8.0 +2060,1.0,2.0 +2061,0.0,6.0 +2062,1.0,7.0 +2063,1.0,8.0 +2064,2.0,4.0 +2065,0.0,5.0 +2066,2.0,5.0 +2067,4.0,3.0 +2068,1.0,5.0 +2069,3.0,0.0 +2070,2.0,4.0 +2071,1.0,9.0 +2072,0.0,3.0 +2073,3.0,5.0 +2074,1.0,4.0 +2075,2.0,5.0 +2076,2.0,4.0 +2077,1.0,8.0 +2078,2.0,6.0 +2079,1.0,5.0 +2080,1.0,6.0 +2081,0.0,3.0 +2082,1.0,5.0 +2083,3.0,3.0 +2084,4.0,5.0 +2085,2.0,3.0 +2086,2.0,4.0 +2087,4.0,3.0 +2088,4.0,2.0 +2089,2.0,5.0 +2090,3.0,1.0 +2091,3.0,6.0 +2092,2.0,4.0 +2093,3.0,1.0 +2094,1.0,4.0 +2095,0.0,3.0 +2096,3.0,7.0 +2097,0.0,2.0 +2098,1.0,4.0 +2099,1.0,4.0 +2100,5.0,4.0 diff --git a/SurgeData/N=1000/752-peak+year_c.csv b/SurgeData/752-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/752-peak+year_c.csv rename to SurgeData/752-peak+year_c.csv diff --git a/SurgeData/N=1000/752-peak+year_w.csv b/SurgeData/752-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/752-peak+year_w.csv rename to SurgeData/752-peak+year_w.csv diff --git a/SurgeData/N=1000/752-peak_c.csv b/SurgeData/752-peak_c.csv similarity index 100% rename from SurgeData/N=1000/752-peak_c.csv rename to SurgeData/752-peak_c.csv diff --git a/SurgeData/N=1000/752-peak_w.csv b/SurgeData/752-peak_w.csv similarity index 100% rename from SurgeData/N=1000/752-peak_w.csv rename to SurgeData/752-peak_w.csv diff --git a/SurgeData/N=1000/752-surge_c.csv b/SurgeData/752-surge_c.csv similarity index 100% rename from SurgeData/N=1000/752-surge_c.csv rename to SurgeData/752-surge_c.csv diff --git a/SurgeData/N=1000/752-surge_w.csv b/SurgeData/752-surge_w.csv similarity index 100% rename from SurgeData/N=1000/752-surge_w.csv rename to SurgeData/752-surge_w.csv diff --git a/SurgeData/N=1000/752-time_c.csv b/SurgeData/752-time_c.csv similarity index 100% rename from SurgeData/N=1000/752-time_c.csv rename to SurgeData/752-time_c.csv diff --git a/SurgeData/N=1000/752-time_w.csv b/SurgeData/752-time_w.csv similarity index 100% rename from SurgeData/N=1000/752-time_w.csv rename to SurgeData/752-time_w.csv diff --git a/SurgeData/N=1000/752-waterlevel_c.csv b/SurgeData/752-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/752-waterlevel_c.csv rename to SurgeData/752-waterlevel_c.csv diff --git a/SurgeData/N=1000/752-waterlevel_w.csv b/SurgeData/752-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/752-waterlevel_w.csv rename to SurgeData/752-waterlevel_w.csv diff --git a/SurgeData/753-num_storm.csv b/SurgeData/753-num_storm.csv new file mode 100644 index 00000000..97d22c7f --- /dev/null +++ b/SurgeData/753-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,4.0 +2022,1.0,1.0 +2023,1.0,2.0 +2024,0.0,3.0 +2025,3.0,2.0 +2026,2.0,6.0 +2027,0.0,8.0 +2028,4.0,6.0 +2029,1.0,3.0 +2030,2.0,7.0 +2031,2.0,6.0 +2032,0.0,1.0 +2033,0.0,4.0 +2034,2.0,8.0 +2035,4.0,3.0 +2036,3.0,3.0 +2037,2.0,4.0 +2038,3.0,7.0 +2039,1.0,1.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,1.0,3.0 +2043,0.0,3.0 +2044,2.0,4.0 +2045,0.0,3.0 +2046,2.0,3.0 +2047,0.0,5.0 +2048,1.0,5.0 +2049,0.0,0.0 +2050,0.0,3.0 +2051,0.0,5.0 +2052,2.0,9.0 +2053,1.0,0.0 +2054,1.0,4.0 +2055,3.0,0.0 +2056,1.0,1.0 +2057,0.0,8.0 +2058,1.0,2.0 +2059,2.0,3.0 +2060,0.0,3.0 +2061,4.0,4.0 +2062,0.0,3.0 +2063,4.0,3.0 +2064,0.0,2.0 +2065,1.0,2.0 +2066,2.0,1.0 +2067,0.0,2.0 +2068,1.0,5.0 +2069,1.0,5.0 +2070,2.0,2.0 +2071,2.0,5.0 +2072,0.0,4.0 +2073,2.0,3.0 +2074,1.0,5.0 +2075,0.0,4.0 +2076,3.0,2.0 +2077,2.0,5.0 +2078,4.0,3.0 +2079,2.0,1.0 +2080,1.0,2.0 +2081,2.0,2.0 +2082,4.0,4.0 +2083,1.0,6.0 +2084,2.0,4.0 +2085,0.0,4.0 +2086,1.0,6.0 +2087,1.0,1.0 +2088,1.0,5.0 +2089,2.0,5.0 +2090,2.0,5.0 +2091,4.0,3.0 +2092,1.0,4.0 +2093,1.0,5.0 +2094,3.0,1.0 +2095,0.0,2.0 +2096,3.0,5.0 +2097,2.0,2.0 +2098,0.0,6.0 +2099,1.0,8.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/753-peak+year_c.csv b/SurgeData/753-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/753-peak+year_c.csv rename to SurgeData/753-peak+year_c.csv diff --git a/SurgeData/N=1000/753-peak+year_w.csv b/SurgeData/753-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/753-peak+year_w.csv rename to SurgeData/753-peak+year_w.csv diff --git a/SurgeData/N=1000/753-peak_c.csv b/SurgeData/753-peak_c.csv similarity index 100% rename from SurgeData/N=1000/753-peak_c.csv rename to SurgeData/753-peak_c.csv diff --git a/SurgeData/N=1000/753-peak_w.csv b/SurgeData/753-peak_w.csv similarity index 100% rename from SurgeData/N=1000/753-peak_w.csv rename to SurgeData/753-peak_w.csv diff --git a/SurgeData/N=1000/753-surge_c.csv b/SurgeData/753-surge_c.csv similarity index 100% rename from SurgeData/N=1000/753-surge_c.csv rename to SurgeData/753-surge_c.csv diff --git a/SurgeData/N=1000/753-surge_w.csv b/SurgeData/753-surge_w.csv similarity index 100% rename from SurgeData/N=1000/753-surge_w.csv rename to SurgeData/753-surge_w.csv diff --git a/SurgeData/N=1000/753-time_c.csv b/SurgeData/753-time_c.csv similarity index 100% rename from SurgeData/N=1000/753-time_c.csv rename to SurgeData/753-time_c.csv diff --git a/SurgeData/N=1000/753-time_w.csv b/SurgeData/753-time_w.csv similarity index 100% rename from SurgeData/N=1000/753-time_w.csv rename to SurgeData/753-time_w.csv diff --git a/SurgeData/N=1000/753-waterlevel_c.csv b/SurgeData/753-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/753-waterlevel_c.csv rename to SurgeData/753-waterlevel_c.csv diff --git a/SurgeData/N=1000/753-waterlevel_w.csv b/SurgeData/753-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/753-waterlevel_w.csv rename to SurgeData/753-waterlevel_w.csv diff --git a/SurgeData/754-num_storm.csv b/SurgeData/754-num_storm.csv new file mode 100644 index 00000000..ce3fd418 --- /dev/null +++ b/SurgeData/754-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,2.0 +2022,2.0,2.0 +2023,1.0,5.0 +2024,2.0,3.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,0.0,2.0 +2028,2.0,9.0 +2029,2.0,2.0 +2030,1.0,3.0 +2031,0.0,3.0 +2032,1.0,2.0 +2033,4.0,1.0 +2034,0.0,5.0 +2035,0.0,4.0 +2036,3.0,8.0 +2037,4.0,6.0 +2038,2.0,8.0 +2039,1.0,3.0 +2040,0.0,6.0 +2041,0.0,4.0 +2042,1.0,7.0 +2043,1.0,4.0 +2044,3.0,4.0 +2045,3.0,2.0 +2046,1.0,4.0 +2047,1.0,3.0 +2048,0.0,5.0 +2049,3.0,6.0 +2050,1.0,2.0 +2051,1.0,6.0 +2052,1.0,6.0 +2053,1.0,2.0 +2054,2.0,1.0 +2055,2.0,6.0 +2056,2.0,2.0 +2057,3.0,5.0 +2058,1.0,6.0 +2059,1.0,4.0 +2060,1.0,5.0 +2061,0.0,6.0 +2062,1.0,4.0 +2063,1.0,4.0 +2064,1.0,3.0 +2065,2.0,1.0 +2066,1.0,1.0 +2067,1.0,2.0 +2068,0.0,3.0 +2069,0.0,5.0 +2070,1.0,4.0 +2071,2.0,3.0 +2072,4.0,1.0 +2073,0.0,5.0 +2074,3.0,1.0 +2075,2.0,8.0 +2076,1.0,5.0 +2077,4.0,4.0 +2078,0.0,2.0 +2079,2.0,8.0 +2080,2.0,2.0 +2081,3.0,3.0 +2082,1.0,4.0 +2083,2.0,3.0 +2084,0.0,4.0 +2085,3.0,8.0 +2086,1.0,2.0 +2087,1.0,13.0 +2088,0.0,3.0 +2089,1.0,4.0 +2090,0.0,1.0 +2091,2.0,5.0 +2092,3.0,4.0 +2093,0.0,8.0 +2094,0.0,3.0 +2095,1.0,6.0 +2096,1.0,4.0 +2097,3.0,3.0 +2098,3.0,1.0 +2099,2.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/754-peak+year_c.csv b/SurgeData/754-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/754-peak+year_c.csv rename to SurgeData/754-peak+year_c.csv diff --git a/SurgeData/N=1000/754-peak+year_w.csv b/SurgeData/754-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/754-peak+year_w.csv rename to SurgeData/754-peak+year_w.csv diff --git a/SurgeData/N=1000/754-peak_c.csv b/SurgeData/754-peak_c.csv similarity index 100% rename from SurgeData/N=1000/754-peak_c.csv rename to SurgeData/754-peak_c.csv diff --git a/SurgeData/N=1000/754-peak_w.csv b/SurgeData/754-peak_w.csv similarity index 100% rename from SurgeData/N=1000/754-peak_w.csv rename to SurgeData/754-peak_w.csv diff --git a/SurgeData/N=1000/754-surge_c.csv b/SurgeData/754-surge_c.csv similarity index 100% rename from SurgeData/N=1000/754-surge_c.csv rename to SurgeData/754-surge_c.csv diff --git a/SurgeData/N=1000/754-surge_w.csv b/SurgeData/754-surge_w.csv similarity index 100% rename from SurgeData/N=1000/754-surge_w.csv rename to SurgeData/754-surge_w.csv diff --git a/SurgeData/N=1000/754-time_c.csv b/SurgeData/754-time_c.csv similarity index 100% rename from SurgeData/N=1000/754-time_c.csv rename to SurgeData/754-time_c.csv diff --git a/SurgeData/N=1000/754-time_w.csv b/SurgeData/754-time_w.csv similarity index 100% rename from SurgeData/N=1000/754-time_w.csv rename to SurgeData/754-time_w.csv diff --git a/SurgeData/N=1000/754-waterlevel_c.csv b/SurgeData/754-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/754-waterlevel_c.csv rename to SurgeData/754-waterlevel_c.csv diff --git a/SurgeData/N=1000/754-waterlevel_w.csv b/SurgeData/754-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/754-waterlevel_w.csv rename to SurgeData/754-waterlevel_w.csv diff --git a/SurgeData/755-num_storm.csv b/SurgeData/755-num_storm.csv new file mode 100644 index 00000000..e0e22cdc --- /dev/null +++ b/SurgeData/755-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,7.0 +2022,4.0,5.0 +2023,1.0,5.0 +2024,1.0,5.0 +2025,2.0,1.0 +2026,4.0,4.0 +2027,5.0,4.0 +2028,2.0,5.0 +2029,0.0,7.0 +2030,0.0,6.0 +2031,0.0,3.0 +2032,3.0,8.0 +2033,4.0,3.0 +2034,1.0,4.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,0.0,1.0 +2038,3.0,2.0 +2039,4.0,5.0 +2040,2.0,3.0 +2041,0.0,6.0 +2042,0.0,5.0 +2043,1.0,4.0 +2044,4.0,4.0 +2045,2.0,6.0 +2046,3.0,5.0 +2047,3.0,6.0 +2048,1.0,4.0 +2049,5.0,5.0 +2050,1.0,4.0 +2051,1.0,8.0 +2052,1.0,3.0 +2053,1.0,7.0 +2054,0.0,4.0 +2055,0.0,1.0 +2056,1.0,4.0 +2057,1.0,7.0 +2058,1.0,2.0 +2059,4.0,9.0 +2060,1.0,4.0 +2061,2.0,3.0 +2062,0.0,8.0 +2063,0.0,5.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,1.0,4.0 +2067,0.0,3.0 +2068,0.0,3.0 +2069,3.0,2.0 +2070,0.0,3.0 +2071,1.0,5.0 +2072,3.0,2.0 +2073,2.0,9.0 +2074,3.0,3.0 +2075,2.0,6.0 +2076,2.0,6.0 +2077,3.0,5.0 +2078,0.0,7.0 +2079,1.0,0.0 +2080,2.0,4.0 +2081,1.0,4.0 +2082,0.0,4.0 +2083,2.0,2.0 +2084,0.0,1.0 +2085,3.0,2.0 +2086,3.0,6.0 +2087,1.0,6.0 +2088,1.0,4.0 +2089,3.0,2.0 +2090,2.0,3.0 +2091,4.0,4.0 +2092,3.0,3.0 +2093,3.0,5.0 +2094,2.0,8.0 +2095,1.0,2.0 +2096,1.0,3.0 +2097,4.0,4.0 +2098,1.0,6.0 +2099,1.0,5.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/755-peak+year_c.csv b/SurgeData/755-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/755-peak+year_c.csv rename to SurgeData/755-peak+year_c.csv diff --git a/SurgeData/N=1000/755-peak+year_w.csv b/SurgeData/755-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/755-peak+year_w.csv rename to SurgeData/755-peak+year_w.csv diff --git a/SurgeData/N=1000/755-peak_c.csv b/SurgeData/755-peak_c.csv similarity index 100% rename from SurgeData/N=1000/755-peak_c.csv rename to SurgeData/755-peak_c.csv diff --git a/SurgeData/N=1000/755-peak_w.csv b/SurgeData/755-peak_w.csv similarity index 100% rename from SurgeData/N=1000/755-peak_w.csv rename to SurgeData/755-peak_w.csv diff --git a/SurgeData/N=1000/755-surge_c.csv b/SurgeData/755-surge_c.csv similarity index 100% rename from SurgeData/N=1000/755-surge_c.csv rename to SurgeData/755-surge_c.csv diff --git a/SurgeData/N=1000/755-surge_w.csv b/SurgeData/755-surge_w.csv similarity index 100% rename from SurgeData/N=1000/755-surge_w.csv rename to SurgeData/755-surge_w.csv diff --git a/SurgeData/N=1000/755-time_c.csv b/SurgeData/755-time_c.csv similarity index 100% rename from SurgeData/N=1000/755-time_c.csv rename to SurgeData/755-time_c.csv diff --git a/SurgeData/N=1000/755-time_w.csv b/SurgeData/755-time_w.csv similarity index 100% rename from SurgeData/N=1000/755-time_w.csv rename to SurgeData/755-time_w.csv diff --git a/SurgeData/N=1000/755-waterlevel_c.csv b/SurgeData/755-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/755-waterlevel_c.csv rename to SurgeData/755-waterlevel_c.csv diff --git a/SurgeData/N=1000/755-waterlevel_w.csv b/SurgeData/755-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/755-waterlevel_w.csv rename to SurgeData/755-waterlevel_w.csv diff --git a/SurgeData/756-num_storm.csv b/SurgeData/756-num_storm.csv new file mode 100644 index 00000000..b7106829 --- /dev/null +++ b/SurgeData/756-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,3.0 +2022,2.0,3.0 +2023,4.0,4.0 +2024,1.0,4.0 +2025,1.0,4.0 +2026,4.0,4.0 +2027,2.0,1.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,0.0,4.0 +2031,1.0,7.0 +2032,1.0,3.0 +2033,2.0,1.0 +2034,0.0,7.0 +2035,1.0,3.0 +2036,1.0,1.0 +2037,0.0,8.0 +2038,0.0,5.0 +2039,3.0,6.0 +2040,0.0,7.0 +2041,1.0,5.0 +2042,0.0,5.0 +2043,3.0,5.0 +2044,0.0,3.0 +2045,1.0,2.0 +2046,5.0,0.0 +2047,2.0,6.0 +2048,0.0,7.0 +2049,0.0,4.0 +2050,2.0,1.0 +2051,1.0,3.0 +2052,0.0,5.0 +2053,0.0,3.0 +2054,0.0,4.0 +2055,1.0,2.0 +2056,1.0,6.0 +2057,3.0,3.0 +2058,5.0,4.0 +2059,0.0,4.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,3.0,5.0 +2064,0.0,5.0 +2065,3.0,7.0 +2066,0.0,4.0 +2067,0.0,5.0 +2068,2.0,6.0 +2069,3.0,3.0 +2070,1.0,6.0 +2071,0.0,4.0 +2072,0.0,3.0 +2073,1.0,6.0 +2074,0.0,4.0 +2075,1.0,1.0 +2076,1.0,6.0 +2077,3.0,3.0 +2078,0.0,6.0 +2079,4.0,2.0 +2080,2.0,5.0 +2081,0.0,3.0 +2082,1.0,6.0 +2083,3.0,2.0 +2084,3.0,5.0 +2085,1.0,7.0 +2086,0.0,5.0 +2087,2.0,8.0 +2088,1.0,6.0 +2089,2.0,3.0 +2090,4.0,2.0 +2091,2.0,2.0 +2092,1.0,1.0 +2093,0.0,1.0 +2094,8.0,4.0 +2095,3.0,4.0 +2096,4.0,4.0 +2097,2.0,3.0 +2098,3.0,2.0 +2099,3.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/756-peak+year_c.csv b/SurgeData/756-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/756-peak+year_c.csv rename to SurgeData/756-peak+year_c.csv diff --git a/SurgeData/N=1000/756-peak+year_w.csv b/SurgeData/756-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/756-peak+year_w.csv rename to SurgeData/756-peak+year_w.csv diff --git a/SurgeData/N=1000/756-peak_c.csv b/SurgeData/756-peak_c.csv similarity index 100% rename from SurgeData/N=1000/756-peak_c.csv rename to SurgeData/756-peak_c.csv diff --git a/SurgeData/N=1000/756-peak_w.csv b/SurgeData/756-peak_w.csv similarity index 100% rename from SurgeData/N=1000/756-peak_w.csv rename to SurgeData/756-peak_w.csv diff --git a/SurgeData/N=1000/756-surge_c.csv b/SurgeData/756-surge_c.csv similarity index 100% rename from SurgeData/N=1000/756-surge_c.csv rename to SurgeData/756-surge_c.csv diff --git a/SurgeData/N=1000/756-surge_w.csv b/SurgeData/756-surge_w.csv similarity index 100% rename from SurgeData/N=1000/756-surge_w.csv rename to SurgeData/756-surge_w.csv diff --git a/SurgeData/N=1000/756-time_c.csv b/SurgeData/756-time_c.csv similarity index 100% rename from SurgeData/N=1000/756-time_c.csv rename to SurgeData/756-time_c.csv diff --git a/SurgeData/N=1000/756-time_w.csv b/SurgeData/756-time_w.csv similarity index 100% rename from SurgeData/N=1000/756-time_w.csv rename to SurgeData/756-time_w.csv diff --git a/SurgeData/N=1000/756-waterlevel_c.csv b/SurgeData/756-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/756-waterlevel_c.csv rename to SurgeData/756-waterlevel_c.csv diff --git a/SurgeData/N=1000/756-waterlevel_w.csv b/SurgeData/756-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/756-waterlevel_w.csv rename to SurgeData/756-waterlevel_w.csv diff --git a/SurgeData/757-num_storm.csv b/SurgeData/757-num_storm.csv new file mode 100644 index 00000000..1b29a2af --- /dev/null +++ b/SurgeData/757-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,3.0,1.0 +2022,1.0,5.0 +2023,2.0,7.0 +2024,2.0,4.0 +2025,1.0,6.0 +2026,2.0,3.0 +2027,1.0,6.0 +2028,1.0,4.0 +2029,1.0,7.0 +2030,3.0,6.0 +2031,0.0,7.0 +2032,1.0,4.0 +2033,1.0,10.0 +2034,1.0,3.0 +2035,0.0,2.0 +2036,0.0,7.0 +2037,0.0,4.0 +2038,3.0,8.0 +2039,2.0,3.0 +2040,1.0,8.0 +2041,0.0,3.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,1.0,8.0 +2045,2.0,4.0 +2046,0.0,3.0 +2047,3.0,4.0 +2048,3.0,5.0 +2049,3.0,8.0 +2050,3.0,4.0 +2051,1.0,1.0 +2052,2.0,7.0 +2053,3.0,2.0 +2054,2.0,2.0 +2055,1.0,3.0 +2056,1.0,5.0 +2057,2.0,5.0 +2058,1.0,6.0 +2059,1.0,4.0 +2060,3.0,5.0 +2061,0.0,4.0 +2062,2.0,7.0 +2063,2.0,6.0 +2064,0.0,4.0 +2065,2.0,7.0 +2066,1.0,4.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,1.0,5.0 +2070,0.0,7.0 +2071,3.0,2.0 +2072,1.0,3.0 +2073,4.0,1.0 +2074,2.0,3.0 +2075,2.0,4.0 +2076,1.0,2.0 +2077,0.0,6.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,0.0,4.0 +2081,2.0,7.0 +2082,2.0,6.0 +2083,3.0,7.0 +2084,1.0,5.0 +2085,4.0,7.0 +2086,0.0,7.0 +2087,1.0,3.0 +2088,4.0,1.0 +2089,0.0,4.0 +2090,2.0,7.0 +2091,0.0,8.0 +2092,0.0,3.0 +2093,1.0,2.0 +2094,0.0,8.0 +2095,1.0,7.0 +2096,2.0,4.0 +2097,2.0,2.0 +2098,1.0,6.0 +2099,2.0,9.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/757-peak+year_c.csv b/SurgeData/757-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/757-peak+year_c.csv rename to SurgeData/757-peak+year_c.csv diff --git a/SurgeData/N=1000/757-peak+year_w.csv b/SurgeData/757-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/757-peak+year_w.csv rename to SurgeData/757-peak+year_w.csv diff --git a/SurgeData/N=1000/757-peak_c.csv b/SurgeData/757-peak_c.csv similarity index 100% rename from SurgeData/N=1000/757-peak_c.csv rename to SurgeData/757-peak_c.csv diff --git a/SurgeData/N=1000/757-peak_w.csv b/SurgeData/757-peak_w.csv similarity index 100% rename from SurgeData/N=1000/757-peak_w.csv rename to SurgeData/757-peak_w.csv diff --git a/SurgeData/N=1000/757-surge_c.csv b/SurgeData/757-surge_c.csv similarity index 100% rename from SurgeData/N=1000/757-surge_c.csv rename to SurgeData/757-surge_c.csv diff --git a/SurgeData/N=1000/757-surge_w.csv b/SurgeData/757-surge_w.csv similarity index 100% rename from SurgeData/N=1000/757-surge_w.csv rename to SurgeData/757-surge_w.csv diff --git a/SurgeData/N=1000/757-time_c.csv b/SurgeData/757-time_c.csv similarity index 100% rename from SurgeData/N=1000/757-time_c.csv rename to SurgeData/757-time_c.csv diff --git a/SurgeData/N=1000/757-time_w.csv b/SurgeData/757-time_w.csv similarity index 100% rename from SurgeData/N=1000/757-time_w.csv rename to SurgeData/757-time_w.csv diff --git a/SurgeData/N=1000/757-waterlevel_c.csv b/SurgeData/757-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/757-waterlevel_c.csv rename to SurgeData/757-waterlevel_c.csv diff --git a/SurgeData/N=1000/757-waterlevel_w.csv b/SurgeData/757-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/757-waterlevel_w.csv rename to SurgeData/757-waterlevel_w.csv diff --git a/SurgeData/N=1000/758-peak+year_c.csv b/SurgeData/758-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/758-peak+year_c.csv rename to SurgeData/758-peak+year_c.csv diff --git a/SurgeData/N=1000/758-peak+year_w.csv b/SurgeData/758-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/758-peak+year_w.csv rename to SurgeData/758-peak+year_w.csv diff --git a/SurgeData/N=1000/758-peak_c.csv b/SurgeData/758-peak_c.csv similarity index 100% rename from SurgeData/N=1000/758-peak_c.csv rename to SurgeData/758-peak_c.csv diff --git a/SurgeData/N=1000/758-peak_w.csv b/SurgeData/758-peak_w.csv similarity index 100% rename from SurgeData/N=1000/758-peak_w.csv rename to SurgeData/758-peak_w.csv diff --git a/SurgeData/N=1000/758-surge_c.csv b/SurgeData/758-surge_c.csv similarity index 100% rename from SurgeData/N=1000/758-surge_c.csv rename to SurgeData/758-surge_c.csv diff --git a/SurgeData/N=1000/758-surge_w.csv b/SurgeData/758-surge_w.csv similarity index 100% rename from SurgeData/N=1000/758-surge_w.csv rename to SurgeData/758-surge_w.csv diff --git a/SurgeData/N=1000/758-time_c.csv b/SurgeData/758-time_c.csv similarity index 100% rename from SurgeData/N=1000/758-time_c.csv rename to SurgeData/758-time_c.csv diff --git a/SurgeData/N=1000/758-time_w.csv b/SurgeData/758-time_w.csv similarity index 100% rename from SurgeData/N=1000/758-time_w.csv rename to SurgeData/758-time_w.csv diff --git a/SurgeData/N=1000/758-waterlevel_c.csv b/SurgeData/758-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/758-waterlevel_c.csv rename to SurgeData/758-waterlevel_c.csv diff --git a/SurgeData/N=1000/758-waterlevel_w.csv b/SurgeData/758-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/758-waterlevel_w.csv rename to SurgeData/758-waterlevel_w.csv diff --git a/SurgeData/759-num_storm.csv b/SurgeData/759-num_storm.csv new file mode 100644 index 00000000..3da2eb45 --- /dev/null +++ b/SurgeData/759-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,5.0 +2022,1.0,5.0 +2023,0.0,2.0 +2024,2.0,3.0 +2025,2.0,4.0 +2026,0.0,3.0 +2027,2.0,4.0 +2028,0.0,3.0 +2029,2.0,5.0 +2030,2.0,5.0 +2031,0.0,2.0 +2032,3.0,1.0 +2033,1.0,6.0 +2034,3.0,4.0 +2035,0.0,3.0 +2036,0.0,7.0 +2037,1.0,6.0 +2038,1.0,4.0 +2039,1.0,3.0 +2040,2.0,4.0 +2041,1.0,3.0 +2042,3.0,2.0 +2043,2.0,1.0 +2044,2.0,3.0 +2045,0.0,7.0 +2046,1.0,4.0 +2047,1.0,5.0 +2048,2.0,6.0 +2049,2.0,3.0 +2050,2.0,1.0 +2051,1.0,3.0 +2052,1.0,3.0 +2053,1.0,7.0 +2054,0.0,4.0 +2055,1.0,4.0 +2056,0.0,2.0 +2057,1.0,8.0 +2058,3.0,4.0 +2059,1.0,1.0 +2060,2.0,1.0 +2061,0.0,2.0 +2062,3.0,3.0 +2063,3.0,3.0 +2064,0.0,5.0 +2065,1.0,3.0 +2066,3.0,4.0 +2067,1.0,5.0 +2068,4.0,5.0 +2069,1.0,5.0 +2070,4.0,2.0 +2071,1.0,7.0 +2072,1.0,4.0 +2073,0.0,2.0 +2074,2.0,4.0 +2075,0.0,5.0 +2076,1.0,2.0 +2077,1.0,1.0 +2078,2.0,5.0 +2079,4.0,6.0 +2080,0.0,6.0 +2081,3.0,4.0 +2082,1.0,1.0 +2083,0.0,5.0 +2084,1.0,7.0 +2085,1.0,4.0 +2086,2.0,3.0 +2087,2.0,4.0 +2088,2.0,6.0 +2089,0.0,6.0 +2090,1.0,7.0 +2091,1.0,4.0 +2092,4.0,3.0 +2093,0.0,7.0 +2094,4.0,2.0 +2095,3.0,2.0 +2096,1.0,5.0 +2097,2.0,2.0 +2098,2.0,2.0 +2099,0.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/759-peak+year_c.csv b/SurgeData/759-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/759-peak+year_c.csv rename to SurgeData/759-peak+year_c.csv diff --git a/SurgeData/N=1000/759-peak+year_w.csv b/SurgeData/759-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/759-peak+year_w.csv rename to SurgeData/759-peak+year_w.csv diff --git a/SurgeData/N=1000/759-peak_c.csv b/SurgeData/759-peak_c.csv similarity index 100% rename from SurgeData/N=1000/759-peak_c.csv rename to SurgeData/759-peak_c.csv diff --git a/SurgeData/N=1000/759-peak_w.csv b/SurgeData/759-peak_w.csv similarity index 100% rename from SurgeData/N=1000/759-peak_w.csv rename to SurgeData/759-peak_w.csv diff --git a/SurgeData/N=1000/759-surge_c.csv b/SurgeData/759-surge_c.csv similarity index 100% rename from SurgeData/N=1000/759-surge_c.csv rename to SurgeData/759-surge_c.csv diff --git a/SurgeData/N=1000/759-surge_w.csv b/SurgeData/759-surge_w.csv similarity index 100% rename from SurgeData/N=1000/759-surge_w.csv rename to SurgeData/759-surge_w.csv diff --git a/SurgeData/N=1000/759-time_c.csv b/SurgeData/759-time_c.csv similarity index 100% rename from SurgeData/N=1000/759-time_c.csv rename to SurgeData/759-time_c.csv diff --git a/SurgeData/N=1000/759-time_w.csv b/SurgeData/759-time_w.csv similarity index 100% rename from SurgeData/N=1000/759-time_w.csv rename to SurgeData/759-time_w.csv diff --git a/SurgeData/N=1000/759-waterlevel_c.csv b/SurgeData/759-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/759-waterlevel_c.csv rename to SurgeData/759-waterlevel_c.csv diff --git a/SurgeData/N=1000/759-waterlevel_w.csv b/SurgeData/759-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/759-waterlevel_w.csv rename to SurgeData/759-waterlevel_w.csv diff --git a/SurgeData/76-num_storm.csv b/SurgeData/76-num_storm.csv new file mode 100644 index 00000000..7ac9310d --- /dev/null +++ b/SurgeData/76-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,8.0 +2022,2.0,5.0 +2023,1.0,7.0 +2024,1.0,1.0 +2025,2.0,5.0 +2026,2.0,4.0 +2027,2.0,3.0 +2028,1.0,6.0 +2029,1.0,7.0 +2030,2.0,5.0 +2031,2.0,6.0 +2032,1.0,7.0 +2033,0.0,4.0 +2034,2.0,1.0 +2035,1.0,3.0 +2036,0.0,6.0 +2037,0.0,1.0 +2038,1.0,2.0 +2039,1.0,2.0 +2040,1.0,3.0 +2041,0.0,6.0 +2042,1.0,5.0 +2043,2.0,6.0 +2044,4.0,5.0 +2045,7.0,4.0 +2046,0.0,2.0 +2047,1.0,5.0 +2048,1.0,3.0 +2049,2.0,4.0 +2050,1.0,6.0 +2051,2.0,7.0 +2052,0.0,2.0 +2053,2.0,3.0 +2054,1.0,3.0 +2055,0.0,3.0 +2056,2.0,5.0 +2057,4.0,4.0 +2058,0.0,6.0 +2059,0.0,1.0 +2060,2.0,4.0 +2061,0.0,2.0 +2062,0.0,3.0 +2063,1.0,3.0 +2064,2.0,1.0 +2065,0.0,5.0 +2066,2.0,3.0 +2067,1.0,4.0 +2068,1.0,5.0 +2069,1.0,7.0 +2070,2.0,3.0 +2071,3.0,6.0 +2072,3.0,4.0 +2073,1.0,4.0 +2074,0.0,5.0 +2075,1.0,4.0 +2076,1.0,2.0 +2077,1.0,5.0 +2078,3.0,8.0 +2079,3.0,5.0 +2080,0.0,2.0 +2081,2.0,3.0 +2082,2.0,1.0 +2083,1.0,6.0 +2084,1.0,3.0 +2085,3.0,5.0 +2086,1.0,2.0 +2087,1.0,6.0 +2088,4.0,4.0 +2089,1.0,6.0 +2090,4.0,7.0 +2091,1.0,1.0 +2092,1.0,6.0 +2093,3.0,4.0 +2094,1.0,3.0 +2095,2.0,1.0 +2096,0.0,2.0 +2097,3.0,1.0 +2098,3.0,4.0 +2099,2.0,3.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/76-peak+year_c.csv b/SurgeData/76-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/76-peak+year_c.csv rename to SurgeData/76-peak+year_c.csv diff --git a/SurgeData/N=1000/76-peak+year_w.csv b/SurgeData/76-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/76-peak+year_w.csv rename to SurgeData/76-peak+year_w.csv diff --git a/SurgeData/N=1000/76-peak_c.csv b/SurgeData/76-peak_c.csv similarity index 100% rename from SurgeData/N=1000/76-peak_c.csv rename to SurgeData/76-peak_c.csv diff --git a/SurgeData/N=1000/76-peak_w.csv b/SurgeData/76-peak_w.csv similarity index 100% rename from SurgeData/N=1000/76-peak_w.csv rename to SurgeData/76-peak_w.csv diff --git a/SurgeData/N=1000/76-surge_c.csv b/SurgeData/76-surge_c.csv similarity index 100% rename from SurgeData/N=1000/76-surge_c.csv rename to SurgeData/76-surge_c.csv diff --git a/SurgeData/N=1000/76-surge_w.csv b/SurgeData/76-surge_w.csv similarity index 100% rename from SurgeData/N=1000/76-surge_w.csv rename to SurgeData/76-surge_w.csv diff --git a/SurgeData/N=1000/76-time_c.csv b/SurgeData/76-time_c.csv similarity index 100% rename from SurgeData/N=1000/76-time_c.csv rename to SurgeData/76-time_c.csv diff --git a/SurgeData/N=1000/76-time_w.csv b/SurgeData/76-time_w.csv similarity index 100% rename from SurgeData/N=1000/76-time_w.csv rename to SurgeData/76-time_w.csv diff --git a/SurgeData/N=1000/76-waterlevel_c.csv b/SurgeData/76-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/76-waterlevel_c.csv rename to SurgeData/76-waterlevel_c.csv diff --git a/SurgeData/N=1000/76-waterlevel_w.csv b/SurgeData/76-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/76-waterlevel_w.csv rename to SurgeData/76-waterlevel_w.csv diff --git a/SurgeData/760-num_storm.csv b/SurgeData/760-num_storm.csv new file mode 100644 index 00000000..32f88f86 --- /dev/null +++ b/SurgeData/760-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,10.0 +2021,1.0,8.0 +2022,1.0,6.0 +2023,1.0,6.0 +2024,2.0,5.0 +2025,2.0,4.0 +2026,1.0,3.0 +2027,3.0,4.0 +2028,1.0,4.0 +2029,1.0,2.0 +2030,2.0,2.0 +2031,6.0,2.0 +2032,0.0,3.0 +2033,2.0,5.0 +2034,1.0,0.0 +2035,3.0,7.0 +2036,2.0,3.0 +2037,2.0,2.0 +2038,2.0,5.0 +2039,2.0,2.0 +2040,0.0,2.0 +2041,0.0,6.0 +2042,0.0,5.0 +2043,3.0,6.0 +2044,3.0,7.0 +2045,0.0,6.0 +2046,1.0,1.0 +2047,1.0,2.0 +2048,2.0,5.0 +2049,1.0,6.0 +2050,3.0,4.0 +2051,0.0,5.0 +2052,2.0,3.0 +2053,2.0,5.0 +2054,0.0,3.0 +2055,2.0,9.0 +2056,3.0,9.0 +2057,4.0,6.0 +2058,0.0,5.0 +2059,2.0,6.0 +2060,0.0,5.0 +2061,2.0,2.0 +2062,1.0,2.0 +2063,4.0,2.0 +2064,1.0,3.0 +2065,0.0,5.0 +2066,1.0,1.0 +2067,2.0,3.0 +2068,2.0,4.0 +2069,0.0,3.0 +2070,1.0,2.0 +2071,1.0,3.0 +2072,1.0,5.0 +2073,1.0,2.0 +2074,1.0,5.0 +2075,1.0,4.0 +2076,1.0,9.0 +2077,2.0,1.0 +2078,2.0,6.0 +2079,2.0,7.0 +2080,1.0,4.0 +2081,2.0,2.0 +2082,0.0,4.0 +2083,1.0,3.0 +2084,3.0,3.0 +2085,0.0,5.0 +2086,2.0,7.0 +2087,2.0,3.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,1.0,5.0 +2091,2.0,2.0 +2092,1.0,1.0 +2093,3.0,1.0 +2094,4.0,2.0 +2095,1.0,2.0 +2096,1.0,3.0 +2097,1.0,4.0 +2098,1.0,5.0 +2099,1.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/760-peak+year_c.csv b/SurgeData/760-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/760-peak+year_c.csv rename to SurgeData/760-peak+year_c.csv diff --git a/SurgeData/N=1000/760-peak+year_w.csv b/SurgeData/760-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/760-peak+year_w.csv rename to SurgeData/760-peak+year_w.csv diff --git a/SurgeData/N=1000/760-peak_c.csv b/SurgeData/760-peak_c.csv similarity index 100% rename from SurgeData/N=1000/760-peak_c.csv rename to SurgeData/760-peak_c.csv diff --git a/SurgeData/N=1000/760-peak_w.csv b/SurgeData/760-peak_w.csv similarity index 100% rename from SurgeData/N=1000/760-peak_w.csv rename to SurgeData/760-peak_w.csv diff --git a/SurgeData/N=1000/760-surge_c.csv b/SurgeData/760-surge_c.csv similarity index 100% rename from SurgeData/N=1000/760-surge_c.csv rename to SurgeData/760-surge_c.csv diff --git a/SurgeData/N=1000/760-surge_w.csv b/SurgeData/760-surge_w.csv similarity index 100% rename from SurgeData/N=1000/760-surge_w.csv rename to SurgeData/760-surge_w.csv diff --git a/SurgeData/N=1000/760-time_c.csv b/SurgeData/760-time_c.csv similarity index 100% rename from SurgeData/N=1000/760-time_c.csv rename to SurgeData/760-time_c.csv diff --git a/SurgeData/N=1000/760-time_w.csv b/SurgeData/760-time_w.csv similarity index 100% rename from SurgeData/N=1000/760-time_w.csv rename to SurgeData/760-time_w.csv diff --git a/SurgeData/N=1000/760-waterlevel_c.csv b/SurgeData/760-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/760-waterlevel_c.csv rename to SurgeData/760-waterlevel_c.csv diff --git a/SurgeData/N=1000/760-waterlevel_w.csv b/SurgeData/760-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/760-waterlevel_w.csv rename to SurgeData/760-waterlevel_w.csv diff --git a/SurgeData/761-num_storm.csv b/SurgeData/761-num_storm.csv new file mode 100644 index 00000000..fed0442c --- /dev/null +++ b/SurgeData/761-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,3.0 +2022,0.0,4.0 +2023,1.0,2.0 +2024,0.0,5.0 +2025,1.0,2.0 +2026,2.0,5.0 +2027,2.0,5.0 +2028,3.0,4.0 +2029,0.0,5.0 +2030,0.0,7.0 +2031,1.0,2.0 +2032,2.0,6.0 +2033,4.0,2.0 +2034,0.0,2.0 +2035,0.0,9.0 +2036,2.0,4.0 +2037,4.0,3.0 +2038,2.0,3.0 +2039,2.0,5.0 +2040,1.0,1.0 +2041,0.0,3.0 +2042,2.0,4.0 +2043,1.0,5.0 +2044,2.0,1.0 +2045,3.0,4.0 +2046,2.0,7.0 +2047,1.0,4.0 +2048,2.0,2.0 +2049,2.0,1.0 +2050,3.0,2.0 +2051,0.0,4.0 +2052,3.0,4.0 +2053,2.0,4.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,2.0,2.0 +2057,2.0,3.0 +2058,1.0,3.0 +2059,1.0,6.0 +2060,1.0,2.0 +2061,1.0,3.0 +2062,0.0,5.0 +2063,2.0,2.0 +2064,5.0,4.0 +2065,1.0,7.0 +2066,0.0,6.0 +2067,0.0,2.0 +2068,2.0,8.0 +2069,2.0,1.0 +2070,2.0,2.0 +2071,1.0,3.0 +2072,5.0,1.0 +2073,3.0,5.0 +2074,0.0,5.0 +2075,1.0,4.0 +2076,0.0,3.0 +2077,1.0,3.0 +2078,4.0,3.0 +2079,0.0,3.0 +2080,3.0,5.0 +2081,1.0,6.0 +2082,2.0,1.0 +2083,0.0,6.0 +2084,0.0,2.0 +2085,1.0,4.0 +2086,3.0,2.0 +2087,1.0,4.0 +2088,2.0,7.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,1.0,2.0 +2092,2.0,2.0 +2093,1.0,1.0 +2094,1.0,5.0 +2095,0.0,2.0 +2096,3.0,0.0 +2097,0.0,6.0 +2098,2.0,7.0 +2099,4.0,6.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/761-peak+year_c.csv b/SurgeData/761-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/761-peak+year_c.csv rename to SurgeData/761-peak+year_c.csv diff --git a/SurgeData/N=1000/761-peak+year_w.csv b/SurgeData/761-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/761-peak+year_w.csv rename to SurgeData/761-peak+year_w.csv diff --git a/SurgeData/N=1000/761-peak_c.csv b/SurgeData/761-peak_c.csv similarity index 100% rename from SurgeData/N=1000/761-peak_c.csv rename to SurgeData/761-peak_c.csv diff --git a/SurgeData/N=1000/761-peak_w.csv b/SurgeData/761-peak_w.csv similarity index 100% rename from SurgeData/N=1000/761-peak_w.csv rename to SurgeData/761-peak_w.csv diff --git a/SurgeData/N=1000/761-surge_c.csv b/SurgeData/761-surge_c.csv similarity index 100% rename from SurgeData/N=1000/761-surge_c.csv rename to SurgeData/761-surge_c.csv diff --git a/SurgeData/N=1000/761-surge_w.csv b/SurgeData/761-surge_w.csv similarity index 100% rename from SurgeData/N=1000/761-surge_w.csv rename to SurgeData/761-surge_w.csv diff --git a/SurgeData/N=1000/761-time_c.csv b/SurgeData/761-time_c.csv similarity index 100% rename from SurgeData/N=1000/761-time_c.csv rename to SurgeData/761-time_c.csv diff --git a/SurgeData/N=1000/761-time_w.csv b/SurgeData/761-time_w.csv similarity index 100% rename from SurgeData/N=1000/761-time_w.csv rename to SurgeData/761-time_w.csv diff --git a/SurgeData/N=1000/761-waterlevel_c.csv b/SurgeData/761-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/761-waterlevel_c.csv rename to SurgeData/761-waterlevel_c.csv diff --git a/SurgeData/N=1000/761-waterlevel_w.csv b/SurgeData/761-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/761-waterlevel_w.csv rename to SurgeData/761-waterlevel_w.csv diff --git a/SurgeData/N=1000/762-peak+year_c.csv b/SurgeData/762-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/762-peak+year_c.csv rename to SurgeData/762-peak+year_c.csv diff --git a/SurgeData/N=1000/762-peak+year_w.csv b/SurgeData/762-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/762-peak+year_w.csv rename to SurgeData/762-peak+year_w.csv diff --git a/SurgeData/N=1000/762-peak_c.csv b/SurgeData/762-peak_c.csv similarity index 100% rename from SurgeData/N=1000/762-peak_c.csv rename to SurgeData/762-peak_c.csv diff --git a/SurgeData/N=1000/762-peak_w.csv b/SurgeData/762-peak_w.csv similarity index 100% rename from SurgeData/N=1000/762-peak_w.csv rename to SurgeData/762-peak_w.csv diff --git a/SurgeData/N=1000/762-surge_c.csv b/SurgeData/762-surge_c.csv similarity index 100% rename from SurgeData/N=1000/762-surge_c.csv rename to SurgeData/762-surge_c.csv diff --git a/SurgeData/N=1000/762-surge_w.csv b/SurgeData/762-surge_w.csv similarity index 100% rename from SurgeData/N=1000/762-surge_w.csv rename to SurgeData/762-surge_w.csv diff --git a/SurgeData/N=1000/762-time_c.csv b/SurgeData/762-time_c.csv similarity index 100% rename from SurgeData/N=1000/762-time_c.csv rename to SurgeData/762-time_c.csv diff --git a/SurgeData/N=1000/762-time_w.csv b/SurgeData/762-time_w.csv similarity index 100% rename from SurgeData/N=1000/762-time_w.csv rename to SurgeData/762-time_w.csv diff --git a/SurgeData/N=1000/762-waterlevel_c.csv b/SurgeData/762-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/762-waterlevel_c.csv rename to SurgeData/762-waterlevel_c.csv diff --git a/SurgeData/N=1000/762-waterlevel_w.csv b/SurgeData/762-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/762-waterlevel_w.csv rename to SurgeData/762-waterlevel_w.csv diff --git a/SurgeData/N=1000/763-peak+year_c.csv b/SurgeData/763-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/763-peak+year_c.csv rename to SurgeData/763-peak+year_c.csv diff --git a/SurgeData/N=1000/763-peak+year_w.csv b/SurgeData/763-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/763-peak+year_w.csv rename to SurgeData/763-peak+year_w.csv diff --git a/SurgeData/N=1000/763-peak_c.csv b/SurgeData/763-peak_c.csv similarity index 100% rename from SurgeData/N=1000/763-peak_c.csv rename to SurgeData/763-peak_c.csv diff --git a/SurgeData/N=1000/763-peak_w.csv b/SurgeData/763-peak_w.csv similarity index 100% rename from SurgeData/N=1000/763-peak_w.csv rename to SurgeData/763-peak_w.csv diff --git a/SurgeData/N=1000/763-surge_c.csv b/SurgeData/763-surge_c.csv similarity index 100% rename from SurgeData/N=1000/763-surge_c.csv rename to SurgeData/763-surge_c.csv diff --git a/SurgeData/N=1000/763-surge_w.csv b/SurgeData/763-surge_w.csv similarity index 100% rename from SurgeData/N=1000/763-surge_w.csv rename to SurgeData/763-surge_w.csv diff --git a/SurgeData/N=1000/763-time_c.csv b/SurgeData/763-time_c.csv similarity index 100% rename from SurgeData/N=1000/763-time_c.csv rename to SurgeData/763-time_c.csv diff --git a/SurgeData/N=1000/763-time_w.csv b/SurgeData/763-time_w.csv similarity index 100% rename from SurgeData/N=1000/763-time_w.csv rename to SurgeData/763-time_w.csv diff --git a/SurgeData/N=1000/763-waterlevel_c.csv b/SurgeData/763-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/763-waterlevel_c.csv rename to SurgeData/763-waterlevel_c.csv diff --git a/SurgeData/N=1000/763-waterlevel_w.csv b/SurgeData/763-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/763-waterlevel_w.csv rename to SurgeData/763-waterlevel_w.csv diff --git a/SurgeData/764-num_storm.csv b/SurgeData/764-num_storm.csv new file mode 100644 index 00000000..a1a7ce03 --- /dev/null +++ b/SurgeData/764-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,9.0 +2021,1.0,4.0 +2022,1.0,4.0 +2023,2.0,4.0 +2024,3.0,3.0 +2025,3.0,2.0 +2026,0.0,6.0 +2027,1.0,4.0 +2028,1.0,8.0 +2029,0.0,2.0 +2030,0.0,5.0 +2031,2.0,6.0 +2032,1.0,5.0 +2033,0.0,5.0 +2034,2.0,4.0 +2035,0.0,5.0 +2036,2.0,3.0 +2037,1.0,3.0 +2038,3.0,3.0 +2039,0.0,9.0 +2040,1.0,5.0 +2041,0.0,3.0 +2042,0.0,2.0 +2043,2.0,6.0 +2044,3.0,4.0 +2045,0.0,4.0 +2046,2.0,7.0 +2047,2.0,3.0 +2048,0.0,2.0 +2049,2.0,6.0 +2050,0.0,2.0 +2051,3.0,2.0 +2052,2.0,3.0 +2053,3.0,5.0 +2054,2.0,5.0 +2055,4.0,2.0 +2056,1.0,1.0 +2057,1.0,3.0 +2058,0.0,4.0 +2059,5.0,3.0 +2060,0.0,4.0 +2061,0.0,2.0 +2062,0.0,6.0 +2063,2.0,4.0 +2064,0.0,6.0 +2065,2.0,6.0 +2066,1.0,5.0 +2067,1.0,5.0 +2068,4.0,4.0 +2069,5.0,2.0 +2070,4.0,7.0 +2071,1.0,2.0 +2072,3.0,5.0 +2073,3.0,4.0 +2074,0.0,4.0 +2075,1.0,3.0 +2076,0.0,6.0 +2077,1.0,1.0 +2078,2.0,4.0 +2079,1.0,2.0 +2080,2.0,5.0 +2081,2.0,2.0 +2082,4.0,5.0 +2083,1.0,2.0 +2084,1.0,7.0 +2085,3.0,5.0 +2086,3.0,6.0 +2087,4.0,4.0 +2088,1.0,3.0 +2089,1.0,4.0 +2090,2.0,4.0 +2091,1.0,4.0 +2092,5.0,3.0 +2093,3.0,5.0 +2094,2.0,6.0 +2095,0.0,10.0 +2096,0.0,3.0 +2097,0.0,1.0 +2098,0.0,5.0 +2099,1.0,1.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/764-peak+year_c.csv b/SurgeData/764-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/764-peak+year_c.csv rename to SurgeData/764-peak+year_c.csv diff --git a/SurgeData/N=1000/764-peak+year_w.csv b/SurgeData/764-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/764-peak+year_w.csv rename to SurgeData/764-peak+year_w.csv diff --git a/SurgeData/N=1000/764-peak_c.csv b/SurgeData/764-peak_c.csv similarity index 100% rename from SurgeData/N=1000/764-peak_c.csv rename to SurgeData/764-peak_c.csv diff --git a/SurgeData/N=1000/764-peak_w.csv b/SurgeData/764-peak_w.csv similarity index 100% rename from SurgeData/N=1000/764-peak_w.csv rename to SurgeData/764-peak_w.csv diff --git a/SurgeData/N=1000/764-surge_c.csv b/SurgeData/764-surge_c.csv similarity index 100% rename from SurgeData/N=1000/764-surge_c.csv rename to SurgeData/764-surge_c.csv diff --git a/SurgeData/N=1000/764-surge_w.csv b/SurgeData/764-surge_w.csv similarity index 100% rename from SurgeData/N=1000/764-surge_w.csv rename to SurgeData/764-surge_w.csv diff --git a/SurgeData/N=1000/764-time_c.csv b/SurgeData/764-time_c.csv similarity index 100% rename from SurgeData/N=1000/764-time_c.csv rename to SurgeData/764-time_c.csv diff --git a/SurgeData/N=1000/764-time_w.csv b/SurgeData/764-time_w.csv similarity index 100% rename from SurgeData/N=1000/764-time_w.csv rename to SurgeData/764-time_w.csv diff --git a/SurgeData/N=1000/764-waterlevel_c.csv b/SurgeData/764-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/764-waterlevel_c.csv rename to SurgeData/764-waterlevel_c.csv diff --git a/SurgeData/N=1000/764-waterlevel_w.csv b/SurgeData/764-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/764-waterlevel_w.csv rename to SurgeData/764-waterlevel_w.csv diff --git a/SurgeData/765-num_storm.csv b/SurgeData/765-num_storm.csv new file mode 100644 index 00000000..b49a3a56 --- /dev/null +++ b/SurgeData/765-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,4.0,2.0 +2022,2.0,4.0 +2023,1.0,5.0 +2024,4.0,2.0 +2025,2.0,4.0 +2026,3.0,5.0 +2027,1.0,4.0 +2028,3.0,4.0 +2029,1.0,0.0 +2030,0.0,8.0 +2031,2.0,4.0 +2032,5.0,4.0 +2033,2.0,2.0 +2034,1.0,3.0 +2035,1.0,2.0 +2036,0.0,4.0 +2037,2.0,1.0 +2038,1.0,4.0 +2039,3.0,5.0 +2040,1.0,3.0 +2041,0.0,4.0 +2042,0.0,6.0 +2043,2.0,3.0 +2044,0.0,11.0 +2045,0.0,6.0 +2046,0.0,3.0 +2047,1.0,2.0 +2048,1.0,3.0 +2049,1.0,4.0 +2050,2.0,2.0 +2051,2.0,7.0 +2052,2.0,5.0 +2053,0.0,7.0 +2054,1.0,2.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,1.0,2.0 +2060,3.0,5.0 +2061,2.0,6.0 +2062,1.0,2.0 +2063,1.0,3.0 +2064,1.0,5.0 +2065,3.0,6.0 +2066,2.0,8.0 +2067,2.0,2.0 +2068,0.0,6.0 +2069,1.0,4.0 +2070,2.0,6.0 +2071,4.0,4.0 +2072,0.0,7.0 +2073,2.0,4.0 +2074,1.0,0.0 +2075,1.0,3.0 +2076,1.0,3.0 +2077,1.0,3.0 +2078,1.0,5.0 +2079,1.0,8.0 +2080,1.0,5.0 +2081,1.0,4.0 +2082,1.0,3.0 +2083,1.0,6.0 +2084,2.0,3.0 +2085,1.0,4.0 +2086,0.0,4.0 +2087,2.0,4.0 +2088,0.0,5.0 +2089,1.0,6.0 +2090,0.0,2.0 +2091,1.0,2.0 +2092,2.0,3.0 +2093,1.0,5.0 +2094,2.0,7.0 +2095,1.0,7.0 +2096,0.0,6.0 +2097,2.0,6.0 +2098,2.0,3.0 +2099,2.0,8.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/765-peak+year_c.csv b/SurgeData/765-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/765-peak+year_c.csv rename to SurgeData/765-peak+year_c.csv diff --git a/SurgeData/N=1000/765-peak+year_w.csv b/SurgeData/765-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/765-peak+year_w.csv rename to SurgeData/765-peak+year_w.csv diff --git a/SurgeData/N=1000/765-peak_c.csv b/SurgeData/765-peak_c.csv similarity index 100% rename from SurgeData/N=1000/765-peak_c.csv rename to SurgeData/765-peak_c.csv diff --git a/SurgeData/N=1000/765-peak_w.csv b/SurgeData/765-peak_w.csv similarity index 100% rename from SurgeData/N=1000/765-peak_w.csv rename to SurgeData/765-peak_w.csv diff --git a/SurgeData/N=1000/765-surge_c.csv b/SurgeData/765-surge_c.csv similarity index 100% rename from SurgeData/N=1000/765-surge_c.csv rename to SurgeData/765-surge_c.csv diff --git a/SurgeData/N=1000/765-surge_w.csv b/SurgeData/765-surge_w.csv similarity index 100% rename from SurgeData/N=1000/765-surge_w.csv rename to SurgeData/765-surge_w.csv diff --git a/SurgeData/N=1000/765-time_c.csv b/SurgeData/765-time_c.csv similarity index 100% rename from SurgeData/N=1000/765-time_c.csv rename to SurgeData/765-time_c.csv diff --git a/SurgeData/N=1000/765-time_w.csv b/SurgeData/765-time_w.csv similarity index 100% rename from SurgeData/N=1000/765-time_w.csv rename to SurgeData/765-time_w.csv diff --git a/SurgeData/N=1000/765-waterlevel_c.csv b/SurgeData/765-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/765-waterlevel_c.csv rename to SurgeData/765-waterlevel_c.csv diff --git a/SurgeData/N=1000/765-waterlevel_w.csv b/SurgeData/765-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/765-waterlevel_w.csv rename to SurgeData/765-waterlevel_w.csv diff --git a/SurgeData/766-num_storm.csv b/SurgeData/766-num_storm.csv new file mode 100644 index 00000000..a64128b3 --- /dev/null +++ b/SurgeData/766-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,5.0 +2022,0.0,1.0 +2023,0.0,5.0 +2024,1.0,3.0 +2025,2.0,5.0 +2026,1.0,5.0 +2027,4.0,9.0 +2028,2.0,5.0 +2029,2.0,8.0 +2030,0.0,6.0 +2031,0.0,4.0 +2032,0.0,6.0 +2033,2.0,4.0 +2034,1.0,1.0 +2035,0.0,5.0 +2036,2.0,3.0 +2037,2.0,6.0 +2038,3.0,6.0 +2039,3.0,7.0 +2040,3.0,3.0 +2041,1.0,4.0 +2042,3.0,4.0 +2043,1.0,5.0 +2044,2.0,2.0 +2045,1.0,6.0 +2046,1.0,1.0 +2047,2.0,4.0 +2048,0.0,3.0 +2049,1.0,2.0 +2050,1.0,8.0 +2051,1.0,6.0 +2052,4.0,4.0 +2053,4.0,4.0 +2054,1.0,5.0 +2055,1.0,4.0 +2056,2.0,3.0 +2057,0.0,0.0 +2058,0.0,4.0 +2059,0.0,3.0 +2060,1.0,3.0 +2061,1.0,2.0 +2062,1.0,2.0 +2063,3.0,5.0 +2064,1.0,7.0 +2065,3.0,4.0 +2066,2.0,4.0 +2067,3.0,8.0 +2068,1.0,2.0 +2069,2.0,4.0 +2070,0.0,0.0 +2071,1.0,5.0 +2072,1.0,2.0 +2073,0.0,6.0 +2074,1.0,4.0 +2075,2.0,4.0 +2076,1.0,3.0 +2077,2.0,7.0 +2078,3.0,2.0 +2079,0.0,2.0 +2080,3.0,5.0 +2081,0.0,1.0 +2082,0.0,2.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,1.0,4.0 +2086,4.0,1.0 +2087,1.0,4.0 +2088,2.0,4.0 +2089,2.0,2.0 +2090,3.0,3.0 +2091,1.0,4.0 +2092,0.0,4.0 +2093,3.0,1.0 +2094,0.0,2.0 +2095,1.0,4.0 +2096,2.0,1.0 +2097,1.0,9.0 +2098,3.0,4.0 +2099,0.0,5.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/766-peak+year_c.csv b/SurgeData/766-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/766-peak+year_c.csv rename to SurgeData/766-peak+year_c.csv diff --git a/SurgeData/N=1000/766-peak+year_w.csv b/SurgeData/766-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/766-peak+year_w.csv rename to SurgeData/766-peak+year_w.csv diff --git a/SurgeData/N=1000/766-peak_c.csv b/SurgeData/766-peak_c.csv similarity index 100% rename from SurgeData/N=1000/766-peak_c.csv rename to SurgeData/766-peak_c.csv diff --git a/SurgeData/N=1000/766-peak_w.csv b/SurgeData/766-peak_w.csv similarity index 100% rename from SurgeData/N=1000/766-peak_w.csv rename to SurgeData/766-peak_w.csv diff --git a/SurgeData/N=1000/766-surge_c.csv b/SurgeData/766-surge_c.csv similarity index 100% rename from SurgeData/N=1000/766-surge_c.csv rename to SurgeData/766-surge_c.csv diff --git a/SurgeData/N=1000/766-surge_w.csv b/SurgeData/766-surge_w.csv similarity index 100% rename from SurgeData/N=1000/766-surge_w.csv rename to SurgeData/766-surge_w.csv diff --git a/SurgeData/N=1000/766-time_c.csv b/SurgeData/766-time_c.csv similarity index 100% rename from SurgeData/N=1000/766-time_c.csv rename to SurgeData/766-time_c.csv diff --git a/SurgeData/N=1000/766-time_w.csv b/SurgeData/766-time_w.csv similarity index 100% rename from SurgeData/N=1000/766-time_w.csv rename to SurgeData/766-time_w.csv diff --git a/SurgeData/N=1000/766-waterlevel_c.csv b/SurgeData/766-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/766-waterlevel_c.csv rename to SurgeData/766-waterlevel_c.csv diff --git a/SurgeData/N=1000/766-waterlevel_w.csv b/SurgeData/766-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/766-waterlevel_w.csv rename to SurgeData/766-waterlevel_w.csv diff --git a/SurgeData/767-num_storm.csv b/SurgeData/767-num_storm.csv new file mode 100644 index 00000000..5cb9eb08 --- /dev/null +++ b/SurgeData/767-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,4.0 +2022,0.0,4.0 +2023,2.0,4.0 +2024,2.0,4.0 +2025,2.0,6.0 +2026,0.0,7.0 +2027,1.0,4.0 +2028,1.0,9.0 +2029,0.0,5.0 +2030,2.0,5.0 +2031,3.0,1.0 +2032,1.0,3.0 +2033,0.0,7.0 +2034,4.0,2.0 +2035,3.0,4.0 +2036,2.0,3.0 +2037,2.0,5.0 +2038,4.0,2.0 +2039,1.0,4.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,2.0,7.0 +2044,3.0,4.0 +2045,1.0,3.0 +2046,1.0,8.0 +2047,1.0,6.0 +2048,2.0,5.0 +2049,1.0,6.0 +2050,4.0,5.0 +2051,1.0,1.0 +2052,2.0,7.0 +2053,0.0,7.0 +2054,0.0,9.0 +2055,4.0,6.0 +2056,5.0,11.0 +2057,1.0,3.0 +2058,1.0,9.0 +2059,0.0,8.0 +2060,2.0,6.0 +2061,1.0,5.0 +2062,2.0,4.0 +2063,1.0,2.0 +2064,1.0,5.0 +2065,0.0,2.0 +2066,1.0,5.0 +2067,3.0,4.0 +2068,1.0,6.0 +2069,2.0,6.0 +2070,3.0,4.0 +2071,3.0,6.0 +2072,2.0,2.0 +2073,1.0,2.0 +2074,2.0,1.0 +2075,2.0,0.0 +2076,0.0,4.0 +2077,1.0,5.0 +2078,0.0,4.0 +2079,1.0,2.0 +2080,1.0,7.0 +2081,0.0,1.0 +2082,1.0,2.0 +2083,0.0,5.0 +2084,2.0,8.0 +2085,1.0,3.0 +2086,0.0,2.0 +2087,1.0,6.0 +2088,1.0,6.0 +2089,0.0,7.0 +2090,3.0,2.0 +2091,4.0,4.0 +2092,1.0,1.0 +2093,1.0,3.0 +2094,5.0,2.0 +2095,3.0,1.0 +2096,4.0,3.0 +2097,1.0,4.0 +2098,2.0,4.0 +2099,3.0,2.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/767-peak+year_c.csv b/SurgeData/767-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/767-peak+year_c.csv rename to SurgeData/767-peak+year_c.csv diff --git a/SurgeData/N=1000/767-peak+year_w.csv b/SurgeData/767-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/767-peak+year_w.csv rename to SurgeData/767-peak+year_w.csv diff --git a/SurgeData/N=1000/767-peak_c.csv b/SurgeData/767-peak_c.csv similarity index 100% rename from SurgeData/N=1000/767-peak_c.csv rename to SurgeData/767-peak_c.csv diff --git a/SurgeData/N=1000/767-peak_w.csv b/SurgeData/767-peak_w.csv similarity index 100% rename from SurgeData/N=1000/767-peak_w.csv rename to SurgeData/767-peak_w.csv diff --git a/SurgeData/N=1000/767-surge_c.csv b/SurgeData/767-surge_c.csv similarity index 100% rename from SurgeData/N=1000/767-surge_c.csv rename to SurgeData/767-surge_c.csv diff --git a/SurgeData/N=1000/767-surge_w.csv b/SurgeData/767-surge_w.csv similarity index 100% rename from SurgeData/N=1000/767-surge_w.csv rename to SurgeData/767-surge_w.csv diff --git a/SurgeData/N=1000/767-time_c.csv b/SurgeData/767-time_c.csv similarity index 100% rename from SurgeData/N=1000/767-time_c.csv rename to SurgeData/767-time_c.csv diff --git a/SurgeData/N=1000/767-time_w.csv b/SurgeData/767-time_w.csv similarity index 100% rename from SurgeData/N=1000/767-time_w.csv rename to SurgeData/767-time_w.csv diff --git a/SurgeData/N=1000/767-waterlevel_c.csv b/SurgeData/767-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/767-waterlevel_c.csv rename to SurgeData/767-waterlevel_c.csv diff --git a/SurgeData/N=1000/767-waterlevel_w.csv b/SurgeData/767-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/767-waterlevel_w.csv rename to SurgeData/767-waterlevel_w.csv diff --git a/SurgeData/N=1000/768-peak+year_c.csv b/SurgeData/768-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/768-peak+year_c.csv rename to SurgeData/768-peak+year_c.csv diff --git a/SurgeData/N=1000/768-peak+year_w.csv b/SurgeData/768-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/768-peak+year_w.csv rename to SurgeData/768-peak+year_w.csv diff --git a/SurgeData/N=1000/768-peak_c.csv b/SurgeData/768-peak_c.csv similarity index 100% rename from SurgeData/N=1000/768-peak_c.csv rename to SurgeData/768-peak_c.csv diff --git a/SurgeData/N=1000/768-peak_w.csv b/SurgeData/768-peak_w.csv similarity index 100% rename from SurgeData/N=1000/768-peak_w.csv rename to SurgeData/768-peak_w.csv diff --git a/SurgeData/N=1000/768-surge_c.csv b/SurgeData/768-surge_c.csv similarity index 100% rename from SurgeData/N=1000/768-surge_c.csv rename to SurgeData/768-surge_c.csv diff --git a/SurgeData/N=1000/768-surge_w.csv b/SurgeData/768-surge_w.csv similarity index 100% rename from SurgeData/N=1000/768-surge_w.csv rename to SurgeData/768-surge_w.csv diff --git a/SurgeData/N=1000/768-time_c.csv b/SurgeData/768-time_c.csv similarity index 100% rename from SurgeData/N=1000/768-time_c.csv rename to SurgeData/768-time_c.csv diff --git a/SurgeData/N=1000/768-time_w.csv b/SurgeData/768-time_w.csv similarity index 100% rename from SurgeData/N=1000/768-time_w.csv rename to SurgeData/768-time_w.csv diff --git a/SurgeData/N=1000/768-waterlevel_c.csv b/SurgeData/768-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/768-waterlevel_c.csv rename to SurgeData/768-waterlevel_c.csv diff --git a/SurgeData/N=1000/768-waterlevel_w.csv b/SurgeData/768-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/768-waterlevel_w.csv rename to SurgeData/768-waterlevel_w.csv diff --git a/SurgeData/769-num_storm.csv b/SurgeData/769-num_storm.csv new file mode 100644 index 00000000..ab92beb7 --- /dev/null +++ b/SurgeData/769-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,1.0,4.0 +2022,0.0,8.0 +2023,3.0,4.0 +2024,1.0,5.0 +2025,0.0,8.0 +2026,1.0,5.0 +2027,1.0,4.0 +2028,0.0,5.0 +2029,0.0,5.0 +2030,1.0,4.0 +2031,1.0,5.0 +2032,1.0,4.0 +2033,1.0,4.0 +2034,0.0,2.0 +2035,2.0,2.0 +2036,1.0,4.0 +2037,2.0,5.0 +2038,2.0,4.0 +2039,1.0,3.0 +2040,0.0,4.0 +2041,0.0,4.0 +2042,0.0,3.0 +2043,1.0,5.0 +2044,4.0,4.0 +2045,5.0,4.0 +2046,0.0,3.0 +2047,1.0,8.0 +2048,0.0,4.0 +2049,2.0,5.0 +2050,1.0,5.0 +2051,3.0,3.0 +2052,5.0,3.0 +2053,0.0,6.0 +2054,1.0,3.0 +2055,3.0,2.0 +2056,3.0,2.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,1.0,5.0 +2060,1.0,4.0 +2061,1.0,3.0 +2062,2.0,3.0 +2063,1.0,7.0 +2064,3.0,4.0 +2065,1.0,6.0 +2066,0.0,7.0 +2067,2.0,4.0 +2068,0.0,6.0 +2069,0.0,4.0 +2070,0.0,1.0 +2071,1.0,4.0 +2072,3.0,5.0 +2073,4.0,2.0 +2074,2.0,5.0 +2075,0.0,3.0 +2076,2.0,2.0 +2077,1.0,1.0 +2078,0.0,4.0 +2079,1.0,4.0 +2080,1.0,5.0 +2081,1.0,5.0 +2082,2.0,4.0 +2083,2.0,7.0 +2084,3.0,2.0 +2085,2.0,5.0 +2086,2.0,1.0 +2087,1.0,6.0 +2088,2.0,5.0 +2089,1.0,2.0 +2090,0.0,1.0 +2091,2.0,2.0 +2092,1.0,6.0 +2093,1.0,6.0 +2094,0.0,4.0 +2095,0.0,4.0 +2096,2.0,4.0 +2097,1.0,3.0 +2098,5.0,2.0 +2099,0.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/769-peak+year_c.csv b/SurgeData/769-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/769-peak+year_c.csv rename to SurgeData/769-peak+year_c.csv diff --git a/SurgeData/N=1000/769-peak+year_w.csv b/SurgeData/769-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/769-peak+year_w.csv rename to SurgeData/769-peak+year_w.csv diff --git a/SurgeData/N=1000/769-peak_c.csv b/SurgeData/769-peak_c.csv similarity index 100% rename from SurgeData/N=1000/769-peak_c.csv rename to SurgeData/769-peak_c.csv diff --git a/SurgeData/N=1000/769-peak_w.csv b/SurgeData/769-peak_w.csv similarity index 100% rename from SurgeData/N=1000/769-peak_w.csv rename to SurgeData/769-peak_w.csv diff --git a/SurgeData/N=1000/769-surge_c.csv b/SurgeData/769-surge_c.csv similarity index 100% rename from SurgeData/N=1000/769-surge_c.csv rename to SurgeData/769-surge_c.csv diff --git a/SurgeData/N=1000/769-surge_w.csv b/SurgeData/769-surge_w.csv similarity index 100% rename from SurgeData/N=1000/769-surge_w.csv rename to SurgeData/769-surge_w.csv diff --git a/SurgeData/N=1000/769-time_c.csv b/SurgeData/769-time_c.csv similarity index 100% rename from SurgeData/N=1000/769-time_c.csv rename to SurgeData/769-time_c.csv diff --git a/SurgeData/N=1000/769-time_w.csv b/SurgeData/769-time_w.csv similarity index 100% rename from SurgeData/N=1000/769-time_w.csv rename to SurgeData/769-time_w.csv diff --git a/SurgeData/N=1000/769-waterlevel_c.csv b/SurgeData/769-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/769-waterlevel_c.csv rename to SurgeData/769-waterlevel_c.csv diff --git a/SurgeData/N=1000/769-waterlevel_w.csv b/SurgeData/769-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/769-waterlevel_w.csv rename to SurgeData/769-waterlevel_w.csv diff --git a/SurgeData/N=1000/77-peak+year_c.csv b/SurgeData/77-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/77-peak+year_c.csv rename to SurgeData/77-peak+year_c.csv diff --git a/SurgeData/N=1000/77-peak+year_w.csv b/SurgeData/77-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/77-peak+year_w.csv rename to SurgeData/77-peak+year_w.csv diff --git a/SurgeData/N=1000/77-peak_c.csv b/SurgeData/77-peak_c.csv similarity index 100% rename from SurgeData/N=1000/77-peak_c.csv rename to SurgeData/77-peak_c.csv diff --git a/SurgeData/N=1000/77-peak_w.csv b/SurgeData/77-peak_w.csv similarity index 100% rename from SurgeData/N=1000/77-peak_w.csv rename to SurgeData/77-peak_w.csv diff --git a/SurgeData/N=1000/77-surge_c.csv b/SurgeData/77-surge_c.csv similarity index 100% rename from SurgeData/N=1000/77-surge_c.csv rename to SurgeData/77-surge_c.csv diff --git a/SurgeData/N=1000/77-surge_w.csv b/SurgeData/77-surge_w.csv similarity index 100% rename from SurgeData/N=1000/77-surge_w.csv rename to SurgeData/77-surge_w.csv diff --git a/SurgeData/N=1000/77-time_c.csv b/SurgeData/77-time_c.csv similarity index 100% rename from SurgeData/N=1000/77-time_c.csv rename to SurgeData/77-time_c.csv diff --git a/SurgeData/N=1000/77-time_w.csv b/SurgeData/77-time_w.csv similarity index 100% rename from SurgeData/N=1000/77-time_w.csv rename to SurgeData/77-time_w.csv diff --git a/SurgeData/N=1000/77-waterlevel_c.csv b/SurgeData/77-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/77-waterlevel_c.csv rename to SurgeData/77-waterlevel_c.csv diff --git a/SurgeData/N=1000/77-waterlevel_w.csv b/SurgeData/77-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/77-waterlevel_w.csv rename to SurgeData/77-waterlevel_w.csv diff --git a/SurgeData/770-num_storm.csv b/SurgeData/770-num_storm.csv new file mode 100644 index 00000000..a4e39e27 --- /dev/null +++ b/SurgeData/770-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,2.0,4.0 +2022,0.0,3.0 +2023,2.0,6.0 +2024,1.0,4.0 +2025,0.0,7.0 +2026,1.0,2.0 +2027,2.0,6.0 +2028,0.0,4.0 +2029,1.0,1.0 +2030,1.0,1.0 +2031,2.0,6.0 +2032,3.0,4.0 +2033,1.0,6.0 +2034,5.0,5.0 +2035,1.0,3.0 +2036,0.0,2.0 +2037,0.0,5.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,0.0,4.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,0.0,2.0 +2044,1.0,2.0 +2045,0.0,7.0 +2046,1.0,6.0 +2047,1.0,4.0 +2048,2.0,3.0 +2049,1.0,4.0 +2050,0.0,5.0 +2051,2.0,3.0 +2052,4.0,6.0 +2053,1.0,2.0 +2054,1.0,5.0 +2055,0.0,4.0 +2056,1.0,2.0 +2057,0.0,1.0 +2058,3.0,5.0 +2059,0.0,6.0 +2060,0.0,4.0 +2061,3.0,2.0 +2062,2.0,3.0 +2063,2.0,5.0 +2064,1.0,1.0 +2065,0.0,4.0 +2066,0.0,4.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,1.0,3.0 +2070,1.0,6.0 +2071,1.0,5.0 +2072,0.0,5.0 +2073,0.0,4.0 +2074,0.0,4.0 +2075,1.0,7.0 +2076,4.0,4.0 +2077,0.0,2.0 +2078,2.0,2.0 +2079,2.0,3.0 +2080,0.0,5.0 +2081,2.0,4.0 +2082,3.0,9.0 +2083,0.0,5.0 +2084,1.0,1.0 +2085,1.0,4.0 +2086,5.0,2.0 +2087,5.0,2.0 +2088,0.0,5.0 +2089,1.0,5.0 +2090,2.0,5.0 +2091,1.0,8.0 +2092,1.0,3.0 +2093,3.0,6.0 +2094,0.0,1.0 +2095,2.0,5.0 +2096,0.0,5.0 +2097,4.0,2.0 +2098,3.0,2.0 +2099,2.0,3.0 +2100,5.0,2.0 diff --git a/SurgeData/N=1000/770-peak+year_c.csv b/SurgeData/770-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/770-peak+year_c.csv rename to SurgeData/770-peak+year_c.csv diff --git a/SurgeData/N=1000/770-peak+year_w.csv b/SurgeData/770-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/770-peak+year_w.csv rename to SurgeData/770-peak+year_w.csv diff --git a/SurgeData/N=1000/770-peak_c.csv b/SurgeData/770-peak_c.csv similarity index 100% rename from SurgeData/N=1000/770-peak_c.csv rename to SurgeData/770-peak_c.csv diff --git a/SurgeData/N=1000/770-peak_w.csv b/SurgeData/770-peak_w.csv similarity index 100% rename from SurgeData/N=1000/770-peak_w.csv rename to SurgeData/770-peak_w.csv diff --git a/SurgeData/N=1000/770-surge_c.csv b/SurgeData/770-surge_c.csv similarity index 100% rename from SurgeData/N=1000/770-surge_c.csv rename to SurgeData/770-surge_c.csv diff --git a/SurgeData/N=1000/770-surge_w.csv b/SurgeData/770-surge_w.csv similarity index 100% rename from SurgeData/N=1000/770-surge_w.csv rename to SurgeData/770-surge_w.csv diff --git a/SurgeData/N=1000/770-time_c.csv b/SurgeData/770-time_c.csv similarity index 100% rename from SurgeData/N=1000/770-time_c.csv rename to SurgeData/770-time_c.csv diff --git a/SurgeData/N=1000/770-time_w.csv b/SurgeData/770-time_w.csv similarity index 100% rename from SurgeData/N=1000/770-time_w.csv rename to SurgeData/770-time_w.csv diff --git a/SurgeData/N=1000/770-waterlevel_c.csv b/SurgeData/770-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/770-waterlevel_c.csv rename to SurgeData/770-waterlevel_c.csv diff --git a/SurgeData/N=1000/770-waterlevel_w.csv b/SurgeData/770-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/770-waterlevel_w.csv rename to SurgeData/770-waterlevel_w.csv diff --git a/SurgeData/N=1000/771-peak+year_c.csv b/SurgeData/771-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/771-peak+year_c.csv rename to SurgeData/771-peak+year_c.csv diff --git a/SurgeData/N=1000/771-peak+year_w.csv b/SurgeData/771-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/771-peak+year_w.csv rename to SurgeData/771-peak+year_w.csv diff --git a/SurgeData/N=1000/771-peak_c.csv b/SurgeData/771-peak_c.csv similarity index 100% rename from SurgeData/N=1000/771-peak_c.csv rename to SurgeData/771-peak_c.csv diff --git a/SurgeData/N=1000/771-peak_w.csv b/SurgeData/771-peak_w.csv similarity index 100% rename from SurgeData/N=1000/771-peak_w.csv rename to SurgeData/771-peak_w.csv diff --git a/SurgeData/N=1000/771-surge_c.csv b/SurgeData/771-surge_c.csv similarity index 100% rename from SurgeData/N=1000/771-surge_c.csv rename to SurgeData/771-surge_c.csv diff --git a/SurgeData/N=1000/771-surge_w.csv b/SurgeData/771-surge_w.csv similarity index 100% rename from SurgeData/N=1000/771-surge_w.csv rename to SurgeData/771-surge_w.csv diff --git a/SurgeData/N=1000/771-time_c.csv b/SurgeData/771-time_c.csv similarity index 100% rename from SurgeData/N=1000/771-time_c.csv rename to SurgeData/771-time_c.csv diff --git a/SurgeData/N=1000/771-time_w.csv b/SurgeData/771-time_w.csv similarity index 100% rename from SurgeData/N=1000/771-time_w.csv rename to SurgeData/771-time_w.csv diff --git a/SurgeData/N=1000/771-waterlevel_c.csv b/SurgeData/771-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/771-waterlevel_c.csv rename to SurgeData/771-waterlevel_c.csv diff --git a/SurgeData/N=1000/771-waterlevel_w.csv b/SurgeData/771-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/771-waterlevel_w.csv rename to SurgeData/771-waterlevel_w.csv diff --git a/SurgeData/772-num_storm.csv b/SurgeData/772-num_storm.csv new file mode 100644 index 00000000..1579d882 --- /dev/null +++ b/SurgeData/772-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,6.0 +2022,0.0,8.0 +2023,2.0,3.0 +2024,1.0,4.0 +2025,2.0,4.0 +2026,2.0,4.0 +2027,1.0,5.0 +2028,2.0,2.0 +2029,2.0,4.0 +2030,1.0,2.0 +2031,1.0,2.0 +2032,1.0,4.0 +2033,0.0,9.0 +2034,1.0,2.0 +2035,1.0,4.0 +2036,0.0,3.0 +2037,0.0,10.0 +2038,1.0,4.0 +2039,1.0,5.0 +2040,2.0,6.0 +2041,3.0,2.0 +2042,1.0,0.0 +2043,1.0,3.0 +2044,0.0,5.0 +2045,4.0,1.0 +2046,2.0,1.0 +2047,1.0,7.0 +2048,0.0,4.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,1.0,3.0 +2052,2.0,4.0 +2053,2.0,2.0 +2054,1.0,5.0 +2055,1.0,4.0 +2056,1.0,2.0 +2057,1.0,7.0 +2058,2.0,3.0 +2059,1.0,1.0 +2060,2.0,3.0 +2061,2.0,4.0 +2062,0.0,2.0 +2063,2.0,6.0 +2064,1.0,4.0 +2065,3.0,5.0 +2066,1.0,6.0 +2067,2.0,6.0 +2068,0.0,6.0 +2069,4.0,3.0 +2070,1.0,2.0 +2071,2.0,1.0 +2072,0.0,2.0 +2073,5.0,1.0 +2074,1.0,4.0 +2075,2.0,4.0 +2076,3.0,5.0 +2077,1.0,1.0 +2078,1.0,4.0 +2079,0.0,3.0 +2080,0.0,3.0 +2081,0.0,7.0 +2082,4.0,4.0 +2083,0.0,5.0 +2084,1.0,7.0 +2085,3.0,6.0 +2086,1.0,3.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,2.0,4.0 +2090,3.0,2.0 +2091,0.0,6.0 +2092,1.0,11.0 +2093,1.0,3.0 +2094,2.0,8.0 +2095,0.0,2.0 +2096,1.0,4.0 +2097,2.0,4.0 +2098,1.0,8.0 +2099,4.0,2.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/772-peak+year_c.csv b/SurgeData/772-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/772-peak+year_c.csv rename to SurgeData/772-peak+year_c.csv diff --git a/SurgeData/N=1000/772-peak+year_w.csv b/SurgeData/772-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/772-peak+year_w.csv rename to SurgeData/772-peak+year_w.csv diff --git a/SurgeData/N=1000/772-peak_c.csv b/SurgeData/772-peak_c.csv similarity index 100% rename from SurgeData/N=1000/772-peak_c.csv rename to SurgeData/772-peak_c.csv diff --git a/SurgeData/N=1000/772-peak_w.csv b/SurgeData/772-peak_w.csv similarity index 100% rename from SurgeData/N=1000/772-peak_w.csv rename to SurgeData/772-peak_w.csv diff --git a/SurgeData/N=1000/772-surge_c.csv b/SurgeData/772-surge_c.csv similarity index 100% rename from SurgeData/N=1000/772-surge_c.csv rename to SurgeData/772-surge_c.csv diff --git a/SurgeData/N=1000/772-surge_w.csv b/SurgeData/772-surge_w.csv similarity index 100% rename from SurgeData/N=1000/772-surge_w.csv rename to SurgeData/772-surge_w.csv diff --git a/SurgeData/N=1000/772-time_c.csv b/SurgeData/772-time_c.csv similarity index 100% rename from SurgeData/N=1000/772-time_c.csv rename to SurgeData/772-time_c.csv diff --git a/SurgeData/N=1000/772-time_w.csv b/SurgeData/772-time_w.csv similarity index 100% rename from SurgeData/N=1000/772-time_w.csv rename to SurgeData/772-time_w.csv diff --git a/SurgeData/N=1000/772-waterlevel_c.csv b/SurgeData/772-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/772-waterlevel_c.csv rename to SurgeData/772-waterlevel_c.csv diff --git a/SurgeData/N=1000/772-waterlevel_w.csv b/SurgeData/772-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/772-waterlevel_w.csv rename to SurgeData/772-waterlevel_w.csv diff --git a/SurgeData/773-num_storm.csv b/SurgeData/773-num_storm.csv new file mode 100644 index 00000000..e272e82c --- /dev/null +++ b/SurgeData/773-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,7.0 +2021,0.0,4.0 +2022,0.0,6.0 +2023,1.0,7.0 +2024,1.0,7.0 +2025,3.0,4.0 +2026,1.0,4.0 +2027,4.0,3.0 +2028,0.0,3.0 +2029,0.0,4.0 +2030,3.0,1.0 +2031,1.0,7.0 +2032,1.0,2.0 +2033,0.0,2.0 +2034,3.0,3.0 +2035,1.0,0.0 +2036,0.0,3.0 +2037,2.0,2.0 +2038,4.0,4.0 +2039,1.0,2.0 +2040,2.0,4.0 +2041,2.0,2.0 +2042,1.0,4.0 +2043,0.0,2.0 +2044,4.0,3.0 +2045,3.0,3.0 +2046,1.0,2.0 +2047,1.0,4.0 +2048,0.0,2.0 +2049,3.0,5.0 +2050,0.0,5.0 +2051,1.0,5.0 +2052,1.0,4.0 +2053,2.0,6.0 +2054,2.0,4.0 +2055,2.0,3.0 +2056,0.0,3.0 +2057,0.0,3.0 +2058,0.0,6.0 +2059,1.0,3.0 +2060,0.0,2.0 +2061,1.0,7.0 +2062,3.0,2.0 +2063,3.0,7.0 +2064,2.0,4.0 +2065,1.0,4.0 +2066,0.0,4.0 +2067,3.0,6.0 +2068,1.0,3.0 +2069,1.0,4.0 +2070,3.0,2.0 +2071,2.0,7.0 +2072,2.0,6.0 +2073,4.0,6.0 +2074,2.0,3.0 +2075,2.0,2.0 +2076,3.0,4.0 +2077,0.0,2.0 +2078,2.0,3.0 +2079,0.0,7.0 +2080,2.0,4.0 +2081,2.0,7.0 +2082,3.0,2.0 +2083,1.0,7.0 +2084,1.0,6.0 +2085,1.0,2.0 +2086,1.0,2.0 +2087,1.0,5.0 +2088,2.0,3.0 +2089,0.0,4.0 +2090,1.0,7.0 +2091,1.0,6.0 +2092,3.0,3.0 +2093,2.0,2.0 +2094,2.0,8.0 +2095,0.0,2.0 +2096,2.0,3.0 +2097,2.0,3.0 +2098,3.0,7.0 +2099,3.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/773-peak+year_c.csv b/SurgeData/773-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/773-peak+year_c.csv rename to SurgeData/773-peak+year_c.csv diff --git a/SurgeData/N=1000/773-peak+year_w.csv b/SurgeData/773-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/773-peak+year_w.csv rename to SurgeData/773-peak+year_w.csv diff --git a/SurgeData/N=1000/773-peak_c.csv b/SurgeData/773-peak_c.csv similarity index 100% rename from SurgeData/N=1000/773-peak_c.csv rename to SurgeData/773-peak_c.csv diff --git a/SurgeData/N=1000/773-peak_w.csv b/SurgeData/773-peak_w.csv similarity index 100% rename from SurgeData/N=1000/773-peak_w.csv rename to SurgeData/773-peak_w.csv diff --git a/SurgeData/N=1000/773-surge_c.csv b/SurgeData/773-surge_c.csv similarity index 100% rename from SurgeData/N=1000/773-surge_c.csv rename to SurgeData/773-surge_c.csv diff --git a/SurgeData/N=1000/773-surge_w.csv b/SurgeData/773-surge_w.csv similarity index 100% rename from SurgeData/N=1000/773-surge_w.csv rename to SurgeData/773-surge_w.csv diff --git a/SurgeData/N=1000/773-time_c.csv b/SurgeData/773-time_c.csv similarity index 100% rename from SurgeData/N=1000/773-time_c.csv rename to SurgeData/773-time_c.csv diff --git a/SurgeData/N=1000/773-time_w.csv b/SurgeData/773-time_w.csv similarity index 100% rename from SurgeData/N=1000/773-time_w.csv rename to SurgeData/773-time_w.csv diff --git a/SurgeData/N=1000/773-waterlevel_c.csv b/SurgeData/773-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/773-waterlevel_c.csv rename to SurgeData/773-waterlevel_c.csv diff --git a/SurgeData/N=1000/773-waterlevel_w.csv b/SurgeData/773-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/773-waterlevel_w.csv rename to SurgeData/773-waterlevel_w.csv diff --git a/SurgeData/N=1000/774-peak+year_c.csv b/SurgeData/774-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/774-peak+year_c.csv rename to SurgeData/774-peak+year_c.csv diff --git a/SurgeData/N=1000/774-peak+year_w.csv b/SurgeData/774-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/774-peak+year_w.csv rename to SurgeData/774-peak+year_w.csv diff --git a/SurgeData/N=1000/774-peak_c.csv b/SurgeData/774-peak_c.csv similarity index 100% rename from SurgeData/N=1000/774-peak_c.csv rename to SurgeData/774-peak_c.csv diff --git a/SurgeData/N=1000/774-peak_w.csv b/SurgeData/774-peak_w.csv similarity index 100% rename from SurgeData/N=1000/774-peak_w.csv rename to SurgeData/774-peak_w.csv diff --git a/SurgeData/N=1000/774-surge_c.csv b/SurgeData/774-surge_c.csv similarity index 100% rename from SurgeData/N=1000/774-surge_c.csv rename to SurgeData/774-surge_c.csv diff --git a/SurgeData/N=1000/774-surge_w.csv b/SurgeData/774-surge_w.csv similarity index 100% rename from SurgeData/N=1000/774-surge_w.csv rename to SurgeData/774-surge_w.csv diff --git a/SurgeData/N=1000/774-time_c.csv b/SurgeData/774-time_c.csv similarity index 100% rename from SurgeData/N=1000/774-time_c.csv rename to SurgeData/774-time_c.csv diff --git a/SurgeData/N=1000/774-time_w.csv b/SurgeData/774-time_w.csv similarity index 100% rename from SurgeData/N=1000/774-time_w.csv rename to SurgeData/774-time_w.csv diff --git a/SurgeData/N=1000/774-waterlevel_c.csv b/SurgeData/774-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/774-waterlevel_c.csv rename to SurgeData/774-waterlevel_c.csv diff --git a/SurgeData/N=1000/774-waterlevel_w.csv b/SurgeData/774-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/774-waterlevel_w.csv rename to SurgeData/774-waterlevel_w.csv diff --git a/SurgeData/775-num_storm.csv b/SurgeData/775-num_storm.csv new file mode 100644 index 00000000..9973f8cf --- /dev/null +++ b/SurgeData/775-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,1.0 +2022,1.0,6.0 +2023,2.0,5.0 +2024,0.0,1.0 +2025,0.0,4.0 +2026,2.0,5.0 +2027,1.0,2.0 +2028,0.0,2.0 +2029,1.0,4.0 +2030,2.0,2.0 +2031,1.0,4.0 +2032,2.0,3.0 +2033,2.0,5.0 +2034,0.0,3.0 +2035,2.0,3.0 +2036,4.0,9.0 +2037,0.0,3.0 +2038,1.0,5.0 +2039,1.0,2.0 +2040,1.0,5.0 +2041,2.0,2.0 +2042,0.0,3.0 +2043,2.0,6.0 +2044,0.0,2.0 +2045,0.0,3.0 +2046,2.0,3.0 +2047,1.0,4.0 +2048,2.0,4.0 +2049,1.0,3.0 +2050,1.0,5.0 +2051,2.0,4.0 +2052,3.0,4.0 +2053,1.0,2.0 +2054,2.0,9.0 +2055,0.0,6.0 +2056,0.0,6.0 +2057,3.0,5.0 +2058,0.0,2.0 +2059,3.0,4.0 +2060,2.0,2.0 +2061,1.0,5.0 +2062,0.0,2.0 +2063,5.0,3.0 +2064,0.0,5.0 +2065,1.0,5.0 +2066,0.0,7.0 +2067,0.0,4.0 +2068,0.0,7.0 +2069,1.0,3.0 +2070,2.0,3.0 +2071,0.0,6.0 +2072,3.0,4.0 +2073,0.0,4.0 +2074,3.0,2.0 +2075,2.0,1.0 +2076,2.0,4.0 +2077,2.0,5.0 +2078,2.0,3.0 +2079,3.0,5.0 +2080,2.0,2.0 +2081,2.0,3.0 +2082,1.0,4.0 +2083,2.0,4.0 +2084,0.0,5.0 +2085,0.0,2.0 +2086,1.0,3.0 +2087,2.0,4.0 +2088,0.0,8.0 +2089,1.0,5.0 +2090,2.0,9.0 +2091,0.0,7.0 +2092,2.0,5.0 +2093,1.0,5.0 +2094,5.0,2.0 +2095,3.0,5.0 +2096,1.0,4.0 +2097,1.0,2.0 +2098,0.0,5.0 +2099,1.0,5.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/775-peak+year_c.csv b/SurgeData/775-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/775-peak+year_c.csv rename to SurgeData/775-peak+year_c.csv diff --git a/SurgeData/N=1000/775-peak+year_w.csv b/SurgeData/775-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/775-peak+year_w.csv rename to SurgeData/775-peak+year_w.csv diff --git a/SurgeData/N=1000/775-peak_c.csv b/SurgeData/775-peak_c.csv similarity index 100% rename from SurgeData/N=1000/775-peak_c.csv rename to SurgeData/775-peak_c.csv diff --git a/SurgeData/N=1000/775-peak_w.csv b/SurgeData/775-peak_w.csv similarity index 100% rename from SurgeData/N=1000/775-peak_w.csv rename to SurgeData/775-peak_w.csv diff --git a/SurgeData/N=1000/775-surge_c.csv b/SurgeData/775-surge_c.csv similarity index 100% rename from SurgeData/N=1000/775-surge_c.csv rename to SurgeData/775-surge_c.csv diff --git a/SurgeData/N=1000/775-surge_w.csv b/SurgeData/775-surge_w.csv similarity index 100% rename from SurgeData/N=1000/775-surge_w.csv rename to SurgeData/775-surge_w.csv diff --git a/SurgeData/N=1000/775-time_c.csv b/SurgeData/775-time_c.csv similarity index 100% rename from SurgeData/N=1000/775-time_c.csv rename to SurgeData/775-time_c.csv diff --git a/SurgeData/N=1000/775-time_w.csv b/SurgeData/775-time_w.csv similarity index 100% rename from SurgeData/N=1000/775-time_w.csv rename to SurgeData/775-time_w.csv diff --git a/SurgeData/N=1000/775-waterlevel_c.csv b/SurgeData/775-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/775-waterlevel_c.csv rename to SurgeData/775-waterlevel_c.csv diff --git a/SurgeData/N=1000/775-waterlevel_w.csv b/SurgeData/775-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/775-waterlevel_w.csv rename to SurgeData/775-waterlevel_w.csv diff --git a/SurgeData/776-num_storm.csv b/SurgeData/776-num_storm.csv new file mode 100644 index 00000000..dec23045 --- /dev/null +++ b/SurgeData/776-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,2.0,2.0 +2022,4.0,9.0 +2023,1.0,6.0 +2024,2.0,5.0 +2025,1.0,11.0 +2026,1.0,7.0 +2027,0.0,6.0 +2028,2.0,5.0 +2029,2.0,5.0 +2030,1.0,4.0 +2031,0.0,5.0 +2032,0.0,4.0 +2033,1.0,4.0 +2034,3.0,5.0 +2035,2.0,6.0 +2036,0.0,1.0 +2037,1.0,4.0 +2038,2.0,7.0 +2039,5.0,4.0 +2040,2.0,4.0 +2041,0.0,3.0 +2042,4.0,7.0 +2043,1.0,4.0 +2044,2.0,8.0 +2045,2.0,4.0 +2046,6.0,6.0 +2047,1.0,3.0 +2048,0.0,2.0 +2049,0.0,4.0 +2050,1.0,4.0 +2051,0.0,4.0 +2052,0.0,8.0 +2053,2.0,3.0 +2054,2.0,2.0 +2055,0.0,4.0 +2056,4.0,6.0 +2057,4.0,7.0 +2058,1.0,2.0 +2059,1.0,1.0 +2060,1.0,7.0 +2061,3.0,4.0 +2062,2.0,4.0 +2063,1.0,4.0 +2064,2.0,4.0 +2065,1.0,1.0 +2066,0.0,5.0 +2067,3.0,3.0 +2068,2.0,5.0 +2069,1.0,2.0 +2070,1.0,2.0 +2071,1.0,3.0 +2072,2.0,5.0 +2073,1.0,0.0 +2074,2.0,4.0 +2075,2.0,5.0 +2076,1.0,7.0 +2077,2.0,5.0 +2078,1.0,4.0 +2079,6.0,3.0 +2080,0.0,1.0 +2081,1.0,10.0 +2082,2.0,3.0 +2083,0.0,5.0 +2084,0.0,5.0 +2085,1.0,6.0 +2086,2.0,3.0 +2087,1.0,5.0 +2088,1.0,7.0 +2089,0.0,5.0 +2090,0.0,6.0 +2091,1.0,1.0 +2092,4.0,0.0 +2093,2.0,4.0 +2094,0.0,5.0 +2095,0.0,2.0 +2096,3.0,4.0 +2097,3.0,7.0 +2098,1.0,6.0 +2099,1.0,4.0 +2100,4.0,1.0 diff --git a/SurgeData/N=1000/776-peak+year_c.csv b/SurgeData/776-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/776-peak+year_c.csv rename to SurgeData/776-peak+year_c.csv diff --git a/SurgeData/N=1000/776-peak+year_w.csv b/SurgeData/776-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/776-peak+year_w.csv rename to SurgeData/776-peak+year_w.csv diff --git a/SurgeData/N=1000/776-peak_c.csv b/SurgeData/776-peak_c.csv similarity index 100% rename from SurgeData/N=1000/776-peak_c.csv rename to SurgeData/776-peak_c.csv diff --git a/SurgeData/N=1000/776-peak_w.csv b/SurgeData/776-peak_w.csv similarity index 100% rename from SurgeData/N=1000/776-peak_w.csv rename to SurgeData/776-peak_w.csv diff --git a/SurgeData/N=1000/776-surge_c.csv b/SurgeData/776-surge_c.csv similarity index 100% rename from SurgeData/N=1000/776-surge_c.csv rename to SurgeData/776-surge_c.csv diff --git a/SurgeData/N=1000/776-surge_w.csv b/SurgeData/776-surge_w.csv similarity index 100% rename from SurgeData/N=1000/776-surge_w.csv rename to SurgeData/776-surge_w.csv diff --git a/SurgeData/N=1000/776-time_c.csv b/SurgeData/776-time_c.csv similarity index 100% rename from SurgeData/N=1000/776-time_c.csv rename to SurgeData/776-time_c.csv diff --git a/SurgeData/N=1000/776-time_w.csv b/SurgeData/776-time_w.csv similarity index 100% rename from SurgeData/N=1000/776-time_w.csv rename to SurgeData/776-time_w.csv diff --git a/SurgeData/N=1000/776-waterlevel_c.csv b/SurgeData/776-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/776-waterlevel_c.csv rename to SurgeData/776-waterlevel_c.csv diff --git a/SurgeData/N=1000/776-waterlevel_w.csv b/SurgeData/776-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/776-waterlevel_w.csv rename to SurgeData/776-waterlevel_w.csv diff --git a/SurgeData/777-num_storm.csv b/SurgeData/777-num_storm.csv new file mode 100644 index 00000000..a3f2c5ff --- /dev/null +++ b/SurgeData/777-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,2.0 +2022,1.0,4.0 +2023,3.0,1.0 +2024,5.0,4.0 +2025,0.0,5.0 +2026,2.0,3.0 +2027,2.0,5.0 +2028,1.0,4.0 +2029,3.0,6.0 +2030,0.0,7.0 +2031,2.0,4.0 +2032,1.0,5.0 +2033,3.0,4.0 +2034,2.0,3.0 +2035,1.0,6.0 +2036,0.0,5.0 +2037,2.0,3.0 +2038,3.0,3.0 +2039,1.0,3.0 +2040,1.0,2.0 +2041,3.0,4.0 +2042,2.0,3.0 +2043,1.0,4.0 +2044,1.0,3.0 +2045,4.0,2.0 +2046,2.0,5.0 +2047,0.0,5.0 +2048,0.0,5.0 +2049,3.0,8.0 +2050,1.0,3.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,0.0,2.0 +2054,0.0,5.0 +2055,1.0,3.0 +2056,3.0,4.0 +2057,0.0,1.0 +2058,0.0,4.0 +2059,2.0,3.0 +2060,1.0,4.0 +2061,2.0,3.0 +2062,2.0,8.0 +2063,1.0,4.0 +2064,0.0,3.0 +2065,1.0,1.0 +2066,1.0,6.0 +2067,1.0,5.0 +2068,2.0,6.0 +2069,0.0,4.0 +2070,3.0,1.0 +2071,2.0,7.0 +2072,3.0,5.0 +2073,1.0,2.0 +2074,1.0,1.0 +2075,2.0,5.0 +2076,1.0,4.0 +2077,0.0,3.0 +2078,1.0,6.0 +2079,2.0,5.0 +2080,1.0,5.0 +2081,0.0,8.0 +2082,1.0,2.0 +2083,1.0,1.0 +2084,2.0,5.0 +2085,1.0,5.0 +2086,2.0,5.0 +2087,1.0,7.0 +2088,1.0,5.0 +2089,3.0,5.0 +2090,2.0,5.0 +2091,0.0,4.0 +2092,1.0,2.0 +2093,1.0,2.0 +2094,0.0,5.0 +2095,3.0,6.0 +2096,2.0,3.0 +2097,0.0,4.0 +2098,1.0,7.0 +2099,1.0,1.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/777-peak+year_c.csv b/SurgeData/777-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/777-peak+year_c.csv rename to SurgeData/777-peak+year_c.csv diff --git a/SurgeData/N=1000/777-peak+year_w.csv b/SurgeData/777-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/777-peak+year_w.csv rename to SurgeData/777-peak+year_w.csv diff --git a/SurgeData/N=1000/777-peak_c.csv b/SurgeData/777-peak_c.csv similarity index 100% rename from SurgeData/N=1000/777-peak_c.csv rename to SurgeData/777-peak_c.csv diff --git a/SurgeData/N=1000/777-peak_w.csv b/SurgeData/777-peak_w.csv similarity index 100% rename from SurgeData/N=1000/777-peak_w.csv rename to SurgeData/777-peak_w.csv diff --git a/SurgeData/N=1000/777-surge_c.csv b/SurgeData/777-surge_c.csv similarity index 100% rename from SurgeData/N=1000/777-surge_c.csv rename to SurgeData/777-surge_c.csv diff --git a/SurgeData/N=1000/777-surge_w.csv b/SurgeData/777-surge_w.csv similarity index 100% rename from SurgeData/N=1000/777-surge_w.csv rename to SurgeData/777-surge_w.csv diff --git a/SurgeData/N=1000/777-time_c.csv b/SurgeData/777-time_c.csv similarity index 100% rename from SurgeData/N=1000/777-time_c.csv rename to SurgeData/777-time_c.csv diff --git a/SurgeData/N=1000/777-time_w.csv b/SurgeData/777-time_w.csv similarity index 100% rename from SurgeData/N=1000/777-time_w.csv rename to SurgeData/777-time_w.csv diff --git a/SurgeData/N=1000/777-waterlevel_c.csv b/SurgeData/777-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/777-waterlevel_c.csv rename to SurgeData/777-waterlevel_c.csv diff --git a/SurgeData/N=1000/777-waterlevel_w.csv b/SurgeData/777-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/777-waterlevel_w.csv rename to SurgeData/777-waterlevel_w.csv diff --git a/SurgeData/778-num_storm.csv b/SurgeData/778-num_storm.csv new file mode 100644 index 00000000..165d8fde --- /dev/null +++ b/SurgeData/778-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,3.0 +2022,1.0,4.0 +2023,2.0,7.0 +2024,0.0,6.0 +2025,2.0,3.0 +2026,1.0,6.0 +2027,1.0,5.0 +2028,2.0,4.0 +2029,1.0,3.0 +2030,1.0,10.0 +2031,0.0,0.0 +2032,1.0,3.0 +2033,0.0,6.0 +2034,2.0,1.0 +2035,1.0,3.0 +2036,3.0,5.0 +2037,2.0,4.0 +2038,2.0,6.0 +2039,3.0,6.0 +2040,1.0,7.0 +2041,0.0,8.0 +2042,5.0,1.0 +2043,3.0,4.0 +2044,4.0,5.0 +2045,3.0,2.0 +2046,1.0,1.0 +2047,0.0,3.0 +2048,0.0,2.0 +2049,3.0,4.0 +2050,1.0,5.0 +2051,0.0,1.0 +2052,3.0,0.0 +2053,4.0,5.0 +2054,2.0,6.0 +2055,2.0,2.0 +2056,1.0,3.0 +2057,2.0,4.0 +2058,3.0,2.0 +2059,0.0,0.0 +2060,1.0,1.0 +2061,1.0,2.0 +2062,1.0,4.0 +2063,5.0,2.0 +2064,0.0,1.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,0.0,6.0 +2068,1.0,2.0 +2069,0.0,3.0 +2070,2.0,2.0 +2071,1.0,4.0 +2072,1.0,6.0 +2073,2.0,5.0 +2074,0.0,5.0 +2075,1.0,3.0 +2076,1.0,4.0 +2077,0.0,5.0 +2078,1.0,5.0 +2079,1.0,2.0 +2080,1.0,5.0 +2081,1.0,3.0 +2082,4.0,2.0 +2083,0.0,2.0 +2084,1.0,5.0 +2085,2.0,3.0 +2086,2.0,2.0 +2087,0.0,1.0 +2088,1.0,4.0 +2089,0.0,6.0 +2090,1.0,6.0 +2091,1.0,4.0 +2092,0.0,5.0 +2093,0.0,3.0 +2094,3.0,9.0 +2095,1.0,6.0 +2096,1.0,8.0 +2097,2.0,2.0 +2098,0.0,4.0 +2099,2.0,5.0 +2100,0.0,8.0 diff --git a/SurgeData/N=1000/778-peak+year_c.csv b/SurgeData/778-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/778-peak+year_c.csv rename to SurgeData/778-peak+year_c.csv diff --git a/SurgeData/N=1000/778-peak+year_w.csv b/SurgeData/778-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/778-peak+year_w.csv rename to SurgeData/778-peak+year_w.csv diff --git a/SurgeData/N=1000/778-peak_c.csv b/SurgeData/778-peak_c.csv similarity index 100% rename from SurgeData/N=1000/778-peak_c.csv rename to SurgeData/778-peak_c.csv diff --git a/SurgeData/N=1000/778-peak_w.csv b/SurgeData/778-peak_w.csv similarity index 100% rename from SurgeData/N=1000/778-peak_w.csv rename to SurgeData/778-peak_w.csv diff --git a/SurgeData/N=1000/778-surge_c.csv b/SurgeData/778-surge_c.csv similarity index 100% rename from SurgeData/N=1000/778-surge_c.csv rename to SurgeData/778-surge_c.csv diff --git a/SurgeData/N=1000/778-surge_w.csv b/SurgeData/778-surge_w.csv similarity index 100% rename from SurgeData/N=1000/778-surge_w.csv rename to SurgeData/778-surge_w.csv diff --git a/SurgeData/N=1000/778-time_c.csv b/SurgeData/778-time_c.csv similarity index 100% rename from SurgeData/N=1000/778-time_c.csv rename to SurgeData/778-time_c.csv diff --git a/SurgeData/N=1000/778-time_w.csv b/SurgeData/778-time_w.csv similarity index 100% rename from SurgeData/N=1000/778-time_w.csv rename to SurgeData/778-time_w.csv diff --git a/SurgeData/N=1000/778-waterlevel_c.csv b/SurgeData/778-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/778-waterlevel_c.csv rename to SurgeData/778-waterlevel_c.csv diff --git a/SurgeData/N=1000/778-waterlevel_w.csv b/SurgeData/778-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/778-waterlevel_w.csv rename to SurgeData/778-waterlevel_w.csv diff --git a/SurgeData/N=1000/779-peak+year_c.csv b/SurgeData/779-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/779-peak+year_c.csv rename to SurgeData/779-peak+year_c.csv diff --git a/SurgeData/N=1000/779-peak+year_w.csv b/SurgeData/779-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/779-peak+year_w.csv rename to SurgeData/779-peak+year_w.csv diff --git a/SurgeData/N=1000/779-peak_c.csv b/SurgeData/779-peak_c.csv similarity index 100% rename from SurgeData/N=1000/779-peak_c.csv rename to SurgeData/779-peak_c.csv diff --git a/SurgeData/N=1000/779-peak_w.csv b/SurgeData/779-peak_w.csv similarity index 100% rename from SurgeData/N=1000/779-peak_w.csv rename to SurgeData/779-peak_w.csv diff --git a/SurgeData/N=1000/779-surge_c.csv b/SurgeData/779-surge_c.csv similarity index 100% rename from SurgeData/N=1000/779-surge_c.csv rename to SurgeData/779-surge_c.csv diff --git a/SurgeData/N=1000/779-surge_w.csv b/SurgeData/779-surge_w.csv similarity index 100% rename from SurgeData/N=1000/779-surge_w.csv rename to SurgeData/779-surge_w.csv diff --git a/SurgeData/N=1000/779-time_c.csv b/SurgeData/779-time_c.csv similarity index 100% rename from SurgeData/N=1000/779-time_c.csv rename to SurgeData/779-time_c.csv diff --git a/SurgeData/N=1000/779-time_w.csv b/SurgeData/779-time_w.csv similarity index 100% rename from SurgeData/N=1000/779-time_w.csv rename to SurgeData/779-time_w.csv diff --git a/SurgeData/N=1000/779-waterlevel_c.csv b/SurgeData/779-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/779-waterlevel_c.csv rename to SurgeData/779-waterlevel_c.csv diff --git a/SurgeData/N=1000/779-waterlevel_w.csv b/SurgeData/779-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/779-waterlevel_w.csv rename to SurgeData/779-waterlevel_w.csv diff --git a/SurgeData/78-num_storm.csv b/SurgeData/78-num_storm.csv new file mode 100644 index 00000000..078d620f --- /dev/null +++ b/SurgeData/78-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,7.0 +2022,2.0,6.0 +2023,3.0,2.0 +2024,5.0,5.0 +2025,2.0,3.0 +2026,1.0,4.0 +2027,1.0,9.0 +2028,3.0,1.0 +2029,1.0,2.0 +2030,3.0,4.0 +2031,2.0,2.0 +2032,1.0,7.0 +2033,2.0,5.0 +2034,2.0,8.0 +2035,1.0,7.0 +2036,3.0,3.0 +2037,4.0,5.0 +2038,2.0,4.0 +2039,4.0,4.0 +2040,1.0,3.0 +2041,0.0,3.0 +2042,1.0,5.0 +2043,3.0,3.0 +2044,2.0,2.0 +2045,1.0,5.0 +2046,1.0,6.0 +2047,2.0,3.0 +2048,1.0,8.0 +2049,1.0,6.0 +2050,1.0,8.0 +2051,2.0,5.0 +2052,1.0,7.0 +2053,2.0,1.0 +2054,2.0,5.0 +2055,0.0,8.0 +2056,1.0,3.0 +2057,3.0,2.0 +2058,0.0,3.0 +2059,2.0,3.0 +2060,2.0,4.0 +2061,2.0,2.0 +2062,2.0,6.0 +2063,2.0,4.0 +2064,1.0,4.0 +2065,2.0,1.0 +2066,3.0,6.0 +2067,1.0,4.0 +2068,2.0,5.0 +2069,4.0,3.0 +2070,1.0,5.0 +2071,1.0,3.0 +2072,3.0,4.0 +2073,1.0,5.0 +2074,1.0,5.0 +2075,1.0,5.0 +2076,1.0,7.0 +2077,0.0,5.0 +2078,2.0,3.0 +2079,3.0,4.0 +2080,0.0,5.0 +2081,0.0,6.0 +2082,1.0,2.0 +2083,2.0,3.0 +2084,3.0,8.0 +2085,1.0,2.0 +2086,4.0,4.0 +2087,0.0,5.0 +2088,2.0,3.0 +2089,2.0,6.0 +2090,0.0,5.0 +2091,1.0,4.0 +2092,0.0,2.0 +2093,0.0,1.0 +2094,2.0,3.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,1.0,5.0 +2098,1.0,1.0 +2099,1.0,3.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/78-peak+year_c.csv b/SurgeData/78-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/78-peak+year_c.csv rename to SurgeData/78-peak+year_c.csv diff --git a/SurgeData/N=1000/78-peak+year_w.csv b/SurgeData/78-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/78-peak+year_w.csv rename to SurgeData/78-peak+year_w.csv diff --git a/SurgeData/N=1000/78-peak_c.csv b/SurgeData/78-peak_c.csv similarity index 100% rename from SurgeData/N=1000/78-peak_c.csv rename to SurgeData/78-peak_c.csv diff --git a/SurgeData/N=1000/78-peak_w.csv b/SurgeData/78-peak_w.csv similarity index 100% rename from SurgeData/N=1000/78-peak_w.csv rename to SurgeData/78-peak_w.csv diff --git a/SurgeData/N=1000/78-surge_c.csv b/SurgeData/78-surge_c.csv similarity index 100% rename from SurgeData/N=1000/78-surge_c.csv rename to SurgeData/78-surge_c.csv diff --git a/SurgeData/N=1000/78-surge_w.csv b/SurgeData/78-surge_w.csv similarity index 100% rename from SurgeData/N=1000/78-surge_w.csv rename to SurgeData/78-surge_w.csv diff --git a/SurgeData/N=1000/78-time_c.csv b/SurgeData/78-time_c.csv similarity index 100% rename from SurgeData/N=1000/78-time_c.csv rename to SurgeData/78-time_c.csv diff --git a/SurgeData/N=1000/78-time_w.csv b/SurgeData/78-time_w.csv similarity index 100% rename from SurgeData/N=1000/78-time_w.csv rename to SurgeData/78-time_w.csv diff --git a/SurgeData/N=1000/78-waterlevel_c.csv b/SurgeData/78-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/78-waterlevel_c.csv rename to SurgeData/78-waterlevel_c.csv diff --git a/SurgeData/N=1000/78-waterlevel_w.csv b/SurgeData/78-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/78-waterlevel_w.csv rename to SurgeData/78-waterlevel_w.csv diff --git a/SurgeData/N=1000/780-peak+year_c.csv b/SurgeData/780-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/780-peak+year_c.csv rename to SurgeData/780-peak+year_c.csv diff --git a/SurgeData/N=1000/780-peak+year_w.csv b/SurgeData/780-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/780-peak+year_w.csv rename to SurgeData/780-peak+year_w.csv diff --git a/SurgeData/N=1000/780-peak_c.csv b/SurgeData/780-peak_c.csv similarity index 100% rename from SurgeData/N=1000/780-peak_c.csv rename to SurgeData/780-peak_c.csv diff --git a/SurgeData/N=1000/780-peak_w.csv b/SurgeData/780-peak_w.csv similarity index 100% rename from SurgeData/N=1000/780-peak_w.csv rename to SurgeData/780-peak_w.csv diff --git a/SurgeData/N=1000/780-surge_c.csv b/SurgeData/780-surge_c.csv similarity index 100% rename from SurgeData/N=1000/780-surge_c.csv rename to SurgeData/780-surge_c.csv diff --git a/SurgeData/N=1000/780-surge_w.csv b/SurgeData/780-surge_w.csv similarity index 100% rename from SurgeData/N=1000/780-surge_w.csv rename to SurgeData/780-surge_w.csv diff --git a/SurgeData/N=1000/780-time_c.csv b/SurgeData/780-time_c.csv similarity index 100% rename from SurgeData/N=1000/780-time_c.csv rename to SurgeData/780-time_c.csv diff --git a/SurgeData/N=1000/780-time_w.csv b/SurgeData/780-time_w.csv similarity index 100% rename from SurgeData/N=1000/780-time_w.csv rename to SurgeData/780-time_w.csv diff --git a/SurgeData/N=1000/780-waterlevel_c.csv b/SurgeData/780-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/780-waterlevel_c.csv rename to SurgeData/780-waterlevel_c.csv diff --git a/SurgeData/N=1000/780-waterlevel_w.csv b/SurgeData/780-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/780-waterlevel_w.csv rename to SurgeData/780-waterlevel_w.csv diff --git a/SurgeData/781-num_storm.csv b/SurgeData/781-num_storm.csv new file mode 100644 index 00000000..cc903ca4 --- /dev/null +++ b/SurgeData/781-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,4.0 +2022,2.0,4.0 +2023,2.0,5.0 +2024,1.0,4.0 +2025,0.0,2.0 +2026,2.0,7.0 +2027,1.0,5.0 +2028,4.0,4.0 +2029,2.0,3.0 +2030,2.0,1.0 +2031,0.0,2.0 +2032,0.0,3.0 +2033,1.0,2.0 +2034,4.0,8.0 +2035,0.0,3.0 +2036,1.0,4.0 +2037,3.0,4.0 +2038,2.0,5.0 +2039,3.0,1.0 +2040,2.0,4.0 +2041,1.0,4.0 +2042,2.0,5.0 +2043,0.0,2.0 +2044,2.0,5.0 +2045,2.0,6.0 +2046,0.0,4.0 +2047,0.0,3.0 +2048,2.0,6.0 +2049,2.0,6.0 +2050,1.0,4.0 +2051,1.0,6.0 +2052,0.0,6.0 +2053,1.0,9.0 +2054,1.0,4.0 +2055,2.0,4.0 +2056,0.0,6.0 +2057,4.0,1.0 +2058,0.0,3.0 +2059,1.0,3.0 +2060,2.0,7.0 +2061,2.0,4.0 +2062,1.0,3.0 +2063,2.0,6.0 +2064,0.0,5.0 +2065,1.0,4.0 +2066,2.0,3.0 +2067,0.0,7.0 +2068,2.0,3.0 +2069,1.0,3.0 +2070,2.0,3.0 +2071,2.0,6.0 +2072,3.0,2.0 +2073,2.0,2.0 +2074,2.0,3.0 +2075,2.0,7.0 +2076,4.0,7.0 +2077,1.0,6.0 +2078,2.0,4.0 +2079,2.0,4.0 +2080,0.0,3.0 +2081,1.0,8.0 +2082,2.0,4.0 +2083,2.0,7.0 +2084,2.0,7.0 +2085,0.0,2.0 +2086,1.0,4.0 +2087,2.0,5.0 +2088,0.0,1.0 +2089,2.0,3.0 +2090,1.0,6.0 +2091,1.0,5.0 +2092,0.0,2.0 +2093,5.0,4.0 +2094,1.0,4.0 +2095,3.0,3.0 +2096,1.0,4.0 +2097,2.0,2.0 +2098,0.0,4.0 +2099,1.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/781-peak+year_c.csv b/SurgeData/781-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/781-peak+year_c.csv rename to SurgeData/781-peak+year_c.csv diff --git a/SurgeData/N=1000/781-peak+year_w.csv b/SurgeData/781-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/781-peak+year_w.csv rename to SurgeData/781-peak+year_w.csv diff --git a/SurgeData/N=1000/781-peak_c.csv b/SurgeData/781-peak_c.csv similarity index 100% rename from SurgeData/N=1000/781-peak_c.csv rename to SurgeData/781-peak_c.csv diff --git a/SurgeData/N=1000/781-peak_w.csv b/SurgeData/781-peak_w.csv similarity index 100% rename from SurgeData/N=1000/781-peak_w.csv rename to SurgeData/781-peak_w.csv diff --git a/SurgeData/N=1000/781-surge_c.csv b/SurgeData/781-surge_c.csv similarity index 100% rename from SurgeData/N=1000/781-surge_c.csv rename to SurgeData/781-surge_c.csv diff --git a/SurgeData/N=1000/781-surge_w.csv b/SurgeData/781-surge_w.csv similarity index 100% rename from SurgeData/N=1000/781-surge_w.csv rename to SurgeData/781-surge_w.csv diff --git a/SurgeData/N=1000/781-time_c.csv b/SurgeData/781-time_c.csv similarity index 100% rename from SurgeData/N=1000/781-time_c.csv rename to SurgeData/781-time_c.csv diff --git a/SurgeData/N=1000/781-time_w.csv b/SurgeData/781-time_w.csv similarity index 100% rename from SurgeData/N=1000/781-time_w.csv rename to SurgeData/781-time_w.csv diff --git a/SurgeData/N=1000/781-waterlevel_c.csv b/SurgeData/781-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/781-waterlevel_c.csv rename to SurgeData/781-waterlevel_c.csv diff --git a/SurgeData/N=1000/781-waterlevel_w.csv b/SurgeData/781-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/781-waterlevel_w.csv rename to SurgeData/781-waterlevel_w.csv diff --git a/SurgeData/N=1000/782-peak+year_c.csv b/SurgeData/782-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/782-peak+year_c.csv rename to SurgeData/782-peak+year_c.csv diff --git a/SurgeData/N=1000/782-peak+year_w.csv b/SurgeData/782-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/782-peak+year_w.csv rename to SurgeData/782-peak+year_w.csv diff --git a/SurgeData/N=1000/782-peak_c.csv b/SurgeData/782-peak_c.csv similarity index 100% rename from SurgeData/N=1000/782-peak_c.csv rename to SurgeData/782-peak_c.csv diff --git a/SurgeData/N=1000/782-peak_w.csv b/SurgeData/782-peak_w.csv similarity index 100% rename from SurgeData/N=1000/782-peak_w.csv rename to SurgeData/782-peak_w.csv diff --git a/SurgeData/N=1000/782-surge_c.csv b/SurgeData/782-surge_c.csv similarity index 100% rename from SurgeData/N=1000/782-surge_c.csv rename to SurgeData/782-surge_c.csv diff --git a/SurgeData/N=1000/782-surge_w.csv b/SurgeData/782-surge_w.csv similarity index 100% rename from SurgeData/N=1000/782-surge_w.csv rename to SurgeData/782-surge_w.csv diff --git a/SurgeData/N=1000/782-time_c.csv b/SurgeData/782-time_c.csv similarity index 100% rename from SurgeData/N=1000/782-time_c.csv rename to SurgeData/782-time_c.csv diff --git a/SurgeData/N=1000/782-time_w.csv b/SurgeData/782-time_w.csv similarity index 100% rename from SurgeData/N=1000/782-time_w.csv rename to SurgeData/782-time_w.csv diff --git a/SurgeData/N=1000/782-waterlevel_c.csv b/SurgeData/782-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/782-waterlevel_c.csv rename to SurgeData/782-waterlevel_c.csv diff --git a/SurgeData/N=1000/782-waterlevel_w.csv b/SurgeData/782-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/782-waterlevel_w.csv rename to SurgeData/782-waterlevel_w.csv diff --git a/SurgeData/783-num_storm.csv b/SurgeData/783-num_storm.csv new file mode 100644 index 00000000..e809d67a --- /dev/null +++ b/SurgeData/783-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,8.0 +2022,0.0,3.0 +2023,4.0,4.0 +2024,2.0,5.0 +2025,3.0,4.0 +2026,0.0,3.0 +2027,2.0,4.0 +2028,3.0,3.0 +2029,3.0,5.0 +2030,2.0,9.0 +2031,4.0,8.0 +2032,2.0,1.0 +2033,0.0,3.0 +2034,2.0,5.0 +2035,3.0,7.0 +2036,2.0,6.0 +2037,4.0,3.0 +2038,0.0,6.0 +2039,1.0,3.0 +2040,1.0,6.0 +2041,3.0,4.0 +2042,6.0,3.0 +2043,0.0,4.0 +2044,0.0,3.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,2.0,4.0 +2048,1.0,3.0 +2049,0.0,7.0 +2050,2.0,1.0 +2051,0.0,4.0 +2052,2.0,7.0 +2053,3.0,2.0 +2054,4.0,5.0 +2055,0.0,3.0 +2056,3.0,3.0 +2057,0.0,5.0 +2058,3.0,5.0 +2059,2.0,1.0 +2060,0.0,5.0 +2061,0.0,1.0 +2062,0.0,6.0 +2063,6.0,6.0 +2064,0.0,4.0 +2065,0.0,6.0 +2066,2.0,4.0 +2067,5.0,4.0 +2068,0.0,2.0 +2069,0.0,6.0 +2070,1.0,5.0 +2071,3.0,5.0 +2072,2.0,3.0 +2073,2.0,6.0 +2074,0.0,3.0 +2075,1.0,3.0 +2076,0.0,6.0 +2077,2.0,1.0 +2078,3.0,3.0 +2079,1.0,3.0 +2080,0.0,6.0 +2081,0.0,0.0 +2082,0.0,5.0 +2083,0.0,9.0 +2084,4.0,3.0 +2085,0.0,3.0 +2086,1.0,5.0 +2087,3.0,3.0 +2088,3.0,7.0 +2089,1.0,4.0 +2090,1.0,5.0 +2091,1.0,3.0 +2092,3.0,1.0 +2093,1.0,4.0 +2094,1.0,3.0 +2095,1.0,5.0 +2096,0.0,4.0 +2097,1.0,3.0 +2098,3.0,0.0 +2099,0.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/783-peak+year_c.csv b/SurgeData/783-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/783-peak+year_c.csv rename to SurgeData/783-peak+year_c.csv diff --git a/SurgeData/N=1000/783-peak+year_w.csv b/SurgeData/783-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/783-peak+year_w.csv rename to SurgeData/783-peak+year_w.csv diff --git a/SurgeData/N=1000/783-peak_c.csv b/SurgeData/783-peak_c.csv similarity index 100% rename from SurgeData/N=1000/783-peak_c.csv rename to SurgeData/783-peak_c.csv diff --git a/SurgeData/N=1000/783-peak_w.csv b/SurgeData/783-peak_w.csv similarity index 100% rename from SurgeData/N=1000/783-peak_w.csv rename to SurgeData/783-peak_w.csv diff --git a/SurgeData/N=1000/783-surge_c.csv b/SurgeData/783-surge_c.csv similarity index 100% rename from SurgeData/N=1000/783-surge_c.csv rename to SurgeData/783-surge_c.csv diff --git a/SurgeData/N=1000/783-surge_w.csv b/SurgeData/783-surge_w.csv similarity index 100% rename from SurgeData/N=1000/783-surge_w.csv rename to SurgeData/783-surge_w.csv diff --git a/SurgeData/N=1000/783-time_c.csv b/SurgeData/783-time_c.csv similarity index 100% rename from SurgeData/N=1000/783-time_c.csv rename to SurgeData/783-time_c.csv diff --git a/SurgeData/N=1000/783-time_w.csv b/SurgeData/783-time_w.csv similarity index 100% rename from SurgeData/N=1000/783-time_w.csv rename to SurgeData/783-time_w.csv diff --git a/SurgeData/N=1000/783-waterlevel_c.csv b/SurgeData/783-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/783-waterlevel_c.csv rename to SurgeData/783-waterlevel_c.csv diff --git a/SurgeData/N=1000/783-waterlevel_w.csv b/SurgeData/783-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/783-waterlevel_w.csv rename to SurgeData/783-waterlevel_w.csv diff --git a/SurgeData/N=1000/784-peak+year_c.csv b/SurgeData/784-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/784-peak+year_c.csv rename to SurgeData/784-peak+year_c.csv diff --git a/SurgeData/N=1000/784-peak+year_w.csv b/SurgeData/784-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/784-peak+year_w.csv rename to SurgeData/784-peak+year_w.csv diff --git a/SurgeData/N=1000/784-peak_c.csv b/SurgeData/784-peak_c.csv similarity index 100% rename from SurgeData/N=1000/784-peak_c.csv rename to SurgeData/784-peak_c.csv diff --git a/SurgeData/N=1000/784-peak_w.csv b/SurgeData/784-peak_w.csv similarity index 100% rename from SurgeData/N=1000/784-peak_w.csv rename to SurgeData/784-peak_w.csv diff --git a/SurgeData/N=1000/784-surge_c.csv b/SurgeData/784-surge_c.csv similarity index 100% rename from SurgeData/N=1000/784-surge_c.csv rename to SurgeData/784-surge_c.csv diff --git a/SurgeData/N=1000/784-surge_w.csv b/SurgeData/784-surge_w.csv similarity index 100% rename from SurgeData/N=1000/784-surge_w.csv rename to SurgeData/784-surge_w.csv diff --git a/SurgeData/N=1000/784-time_c.csv b/SurgeData/784-time_c.csv similarity index 100% rename from SurgeData/N=1000/784-time_c.csv rename to SurgeData/784-time_c.csv diff --git a/SurgeData/N=1000/784-time_w.csv b/SurgeData/784-time_w.csv similarity index 100% rename from SurgeData/N=1000/784-time_w.csv rename to SurgeData/784-time_w.csv diff --git a/SurgeData/N=1000/784-waterlevel_c.csv b/SurgeData/784-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/784-waterlevel_c.csv rename to SurgeData/784-waterlevel_c.csv diff --git a/SurgeData/N=1000/784-waterlevel_w.csv b/SurgeData/784-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/784-waterlevel_w.csv rename to SurgeData/784-waterlevel_w.csv diff --git a/SurgeData/785-num_storm.csv b/SurgeData/785-num_storm.csv new file mode 100644 index 00000000..36600240 --- /dev/null +++ b/SurgeData/785-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,4.0 +2022,2.0,4.0 +2023,4.0,6.0 +2024,0.0,3.0 +2025,2.0,3.0 +2026,2.0,4.0 +2027,2.0,5.0 +2028,2.0,4.0 +2029,1.0,1.0 +2030,1.0,5.0 +2031,0.0,5.0 +2032,2.0,2.0 +2033,0.0,3.0 +2034,1.0,6.0 +2035,3.0,5.0 +2036,2.0,5.0 +2037,3.0,4.0 +2038,0.0,5.0 +2039,3.0,4.0 +2040,4.0,4.0 +2041,0.0,2.0 +2042,3.0,4.0 +2043,3.0,4.0 +2044,1.0,2.0 +2045,2.0,3.0 +2046,2.0,3.0 +2047,3.0,8.0 +2048,2.0,4.0 +2049,2.0,1.0 +2050,3.0,3.0 +2051,0.0,4.0 +2052,3.0,3.0 +2053,1.0,5.0 +2054,0.0,9.0 +2055,3.0,4.0 +2056,0.0,3.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,2.0,2.0 +2060,2.0,4.0 +2061,0.0,5.0 +2062,2.0,6.0 +2063,0.0,4.0 +2064,0.0,7.0 +2065,3.0,5.0 +2066,1.0,3.0 +2067,5.0,0.0 +2068,0.0,3.0 +2069,3.0,2.0 +2070,2.0,1.0 +2071,1.0,4.0 +2072,1.0,4.0 +2073,3.0,3.0 +2074,3.0,4.0 +2075,1.0,7.0 +2076,4.0,5.0 +2077,3.0,2.0 +2078,3.0,3.0 +2079,2.0,5.0 +2080,0.0,1.0 +2081,1.0,1.0 +2082,1.0,5.0 +2083,2.0,6.0 +2084,3.0,4.0 +2085,1.0,1.0 +2086,0.0,1.0 +2087,3.0,6.0 +2088,2.0,0.0 +2089,2.0,4.0 +2090,2.0,4.0 +2091,1.0,3.0 +2092,1.0,5.0 +2093,2.0,8.0 +2094,3.0,2.0 +2095,1.0,1.0 +2096,5.0,1.0 +2097,3.0,5.0 +2098,0.0,6.0 +2099,2.0,5.0 +2100,2.0,0.0 diff --git a/SurgeData/N=1000/785-peak+year_c.csv b/SurgeData/785-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/785-peak+year_c.csv rename to SurgeData/785-peak+year_c.csv diff --git a/SurgeData/N=1000/785-peak+year_w.csv b/SurgeData/785-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/785-peak+year_w.csv rename to SurgeData/785-peak+year_w.csv diff --git a/SurgeData/N=1000/785-peak_c.csv b/SurgeData/785-peak_c.csv similarity index 100% rename from SurgeData/N=1000/785-peak_c.csv rename to SurgeData/785-peak_c.csv diff --git a/SurgeData/N=1000/785-peak_w.csv b/SurgeData/785-peak_w.csv similarity index 100% rename from SurgeData/N=1000/785-peak_w.csv rename to SurgeData/785-peak_w.csv diff --git a/SurgeData/N=1000/785-surge_c.csv b/SurgeData/785-surge_c.csv similarity index 100% rename from SurgeData/N=1000/785-surge_c.csv rename to SurgeData/785-surge_c.csv diff --git a/SurgeData/N=1000/785-surge_w.csv b/SurgeData/785-surge_w.csv similarity index 100% rename from SurgeData/N=1000/785-surge_w.csv rename to SurgeData/785-surge_w.csv diff --git a/SurgeData/N=1000/785-time_c.csv b/SurgeData/785-time_c.csv similarity index 100% rename from SurgeData/N=1000/785-time_c.csv rename to SurgeData/785-time_c.csv diff --git a/SurgeData/N=1000/785-time_w.csv b/SurgeData/785-time_w.csv similarity index 100% rename from SurgeData/N=1000/785-time_w.csv rename to SurgeData/785-time_w.csv diff --git a/SurgeData/N=1000/785-waterlevel_c.csv b/SurgeData/785-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/785-waterlevel_c.csv rename to SurgeData/785-waterlevel_c.csv diff --git a/SurgeData/N=1000/785-waterlevel_w.csv b/SurgeData/785-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/785-waterlevel_w.csv rename to SurgeData/785-waterlevel_w.csv diff --git a/SurgeData/N=1000/786-peak+year_c.csv b/SurgeData/786-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/786-peak+year_c.csv rename to SurgeData/786-peak+year_c.csv diff --git a/SurgeData/N=1000/786-peak+year_w.csv b/SurgeData/786-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/786-peak+year_w.csv rename to SurgeData/786-peak+year_w.csv diff --git a/SurgeData/N=1000/786-peak_c.csv b/SurgeData/786-peak_c.csv similarity index 100% rename from SurgeData/N=1000/786-peak_c.csv rename to SurgeData/786-peak_c.csv diff --git a/SurgeData/N=1000/786-peak_w.csv b/SurgeData/786-peak_w.csv similarity index 100% rename from SurgeData/N=1000/786-peak_w.csv rename to SurgeData/786-peak_w.csv diff --git a/SurgeData/N=1000/786-surge_c.csv b/SurgeData/786-surge_c.csv similarity index 100% rename from SurgeData/N=1000/786-surge_c.csv rename to SurgeData/786-surge_c.csv diff --git a/SurgeData/N=1000/786-surge_w.csv b/SurgeData/786-surge_w.csv similarity index 100% rename from SurgeData/N=1000/786-surge_w.csv rename to SurgeData/786-surge_w.csv diff --git a/SurgeData/N=1000/786-time_c.csv b/SurgeData/786-time_c.csv similarity index 100% rename from SurgeData/N=1000/786-time_c.csv rename to SurgeData/786-time_c.csv diff --git a/SurgeData/N=1000/786-time_w.csv b/SurgeData/786-time_w.csv similarity index 100% rename from SurgeData/N=1000/786-time_w.csv rename to SurgeData/786-time_w.csv diff --git a/SurgeData/N=1000/786-waterlevel_c.csv b/SurgeData/786-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/786-waterlevel_c.csv rename to SurgeData/786-waterlevel_c.csv diff --git a/SurgeData/N=1000/786-waterlevel_w.csv b/SurgeData/786-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/786-waterlevel_w.csv rename to SurgeData/786-waterlevel_w.csv diff --git a/SurgeData/N=1000/787-peak+year_c.csv b/SurgeData/787-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/787-peak+year_c.csv rename to SurgeData/787-peak+year_c.csv diff --git a/SurgeData/N=1000/787-peak+year_w.csv b/SurgeData/787-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/787-peak+year_w.csv rename to SurgeData/787-peak+year_w.csv diff --git a/SurgeData/N=1000/787-peak_c.csv b/SurgeData/787-peak_c.csv similarity index 100% rename from SurgeData/N=1000/787-peak_c.csv rename to SurgeData/787-peak_c.csv diff --git a/SurgeData/N=1000/787-peak_w.csv b/SurgeData/787-peak_w.csv similarity index 100% rename from SurgeData/N=1000/787-peak_w.csv rename to SurgeData/787-peak_w.csv diff --git a/SurgeData/N=1000/787-surge_c.csv b/SurgeData/787-surge_c.csv similarity index 100% rename from SurgeData/N=1000/787-surge_c.csv rename to SurgeData/787-surge_c.csv diff --git a/SurgeData/N=1000/787-surge_w.csv b/SurgeData/787-surge_w.csv similarity index 100% rename from SurgeData/N=1000/787-surge_w.csv rename to SurgeData/787-surge_w.csv diff --git a/SurgeData/N=1000/787-time_c.csv b/SurgeData/787-time_c.csv similarity index 100% rename from SurgeData/N=1000/787-time_c.csv rename to SurgeData/787-time_c.csv diff --git a/SurgeData/N=1000/787-time_w.csv b/SurgeData/787-time_w.csv similarity index 100% rename from SurgeData/N=1000/787-time_w.csv rename to SurgeData/787-time_w.csv diff --git a/SurgeData/N=1000/787-waterlevel_c.csv b/SurgeData/787-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/787-waterlevel_c.csv rename to SurgeData/787-waterlevel_c.csv diff --git a/SurgeData/N=1000/787-waterlevel_w.csv b/SurgeData/787-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/787-waterlevel_w.csv rename to SurgeData/787-waterlevel_w.csv diff --git a/SurgeData/788-num_storm.csv b/SurgeData/788-num_storm.csv new file mode 100644 index 00000000..ee76a4e0 --- /dev/null +++ b/SurgeData/788-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,1.0,3.0 +2022,2.0,2.0 +2023,0.0,6.0 +2024,1.0,5.0 +2025,1.0,8.0 +2026,0.0,7.0 +2027,2.0,5.0 +2028,2.0,5.0 +2029,2.0,8.0 +2030,4.0,3.0 +2031,1.0,5.0 +2032,0.0,4.0 +2033,1.0,4.0 +2034,2.0,5.0 +2035,0.0,4.0 +2036,1.0,7.0 +2037,0.0,5.0 +2038,1.0,2.0 +2039,1.0,5.0 +2040,2.0,5.0 +2041,0.0,6.0 +2042,3.0,3.0 +2043,2.0,6.0 +2044,2.0,8.0 +2045,3.0,7.0 +2046,0.0,0.0 +2047,2.0,4.0 +2048,1.0,1.0 +2049,4.0,4.0 +2050,2.0,5.0 +2051,0.0,2.0 +2052,2.0,6.0 +2053,2.0,6.0 +2054,2.0,6.0 +2055,0.0,8.0 +2056,1.0,2.0 +2057,3.0,4.0 +2058,0.0,5.0 +2059,3.0,4.0 +2060,2.0,1.0 +2061,2.0,2.0 +2062,1.0,1.0 +2063,0.0,4.0 +2064,2.0,1.0 +2065,2.0,4.0 +2066,0.0,4.0 +2067,2.0,4.0 +2068,1.0,4.0 +2069,5.0,4.0 +2070,2.0,3.0 +2071,6.0,4.0 +2072,1.0,5.0 +2073,0.0,2.0 +2074,1.0,6.0 +2075,6.0,8.0 +2076,0.0,3.0 +2077,3.0,2.0 +2078,1.0,3.0 +2079,4.0,4.0 +2080,4.0,2.0 +2081,1.0,4.0 +2082,2.0,3.0 +2083,1.0,4.0 +2084,2.0,2.0 +2085,1.0,5.0 +2086,1.0,3.0 +2087,1.0,4.0 +2088,1.0,5.0 +2089,5.0,5.0 +2090,1.0,5.0 +2091,2.0,3.0 +2092,1.0,4.0 +2093,2.0,5.0 +2094,3.0,7.0 +2095,3.0,3.0 +2096,2.0,4.0 +2097,1.0,4.0 +2098,0.0,5.0 +2099,3.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/788-peak+year_c.csv b/SurgeData/788-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/788-peak+year_c.csv rename to SurgeData/788-peak+year_c.csv diff --git a/SurgeData/N=1000/788-peak+year_w.csv b/SurgeData/788-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/788-peak+year_w.csv rename to SurgeData/788-peak+year_w.csv diff --git a/SurgeData/N=1000/788-peak_c.csv b/SurgeData/788-peak_c.csv similarity index 100% rename from SurgeData/N=1000/788-peak_c.csv rename to SurgeData/788-peak_c.csv diff --git a/SurgeData/N=1000/788-peak_w.csv b/SurgeData/788-peak_w.csv similarity index 100% rename from SurgeData/N=1000/788-peak_w.csv rename to SurgeData/788-peak_w.csv diff --git a/SurgeData/N=1000/788-surge_c.csv b/SurgeData/788-surge_c.csv similarity index 100% rename from SurgeData/N=1000/788-surge_c.csv rename to SurgeData/788-surge_c.csv diff --git a/SurgeData/N=1000/788-surge_w.csv b/SurgeData/788-surge_w.csv similarity index 100% rename from SurgeData/N=1000/788-surge_w.csv rename to SurgeData/788-surge_w.csv diff --git a/SurgeData/N=1000/788-time_c.csv b/SurgeData/788-time_c.csv similarity index 100% rename from SurgeData/N=1000/788-time_c.csv rename to SurgeData/788-time_c.csv diff --git a/SurgeData/N=1000/788-time_w.csv b/SurgeData/788-time_w.csv similarity index 100% rename from SurgeData/N=1000/788-time_w.csv rename to SurgeData/788-time_w.csv diff --git a/SurgeData/N=1000/788-waterlevel_c.csv b/SurgeData/788-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/788-waterlevel_c.csv rename to SurgeData/788-waterlevel_c.csv diff --git a/SurgeData/N=1000/788-waterlevel_w.csv b/SurgeData/788-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/788-waterlevel_w.csv rename to SurgeData/788-waterlevel_w.csv diff --git a/SurgeData/789-num_storm.csv b/SurgeData/789-num_storm.csv new file mode 100644 index 00000000..c9b6b1c1 --- /dev/null +++ b/SurgeData/789-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,7.0 +2021,1.0,1.0 +2022,4.0,5.0 +2023,1.0,4.0 +2024,0.0,3.0 +2025,1.0,4.0 +2026,3.0,2.0 +2027,0.0,3.0 +2028,1.0,1.0 +2029,1.0,4.0 +2030,2.0,2.0 +2031,1.0,3.0 +2032,1.0,6.0 +2033,0.0,1.0 +2034,1.0,3.0 +2035,1.0,5.0 +2036,0.0,4.0 +2037,0.0,4.0 +2038,0.0,6.0 +2039,1.0,4.0 +2040,1.0,7.0 +2041,1.0,6.0 +2042,0.0,2.0 +2043,0.0,5.0 +2044,2.0,2.0 +2045,2.0,5.0 +2046,1.0,4.0 +2047,2.0,5.0 +2048,0.0,3.0 +2049,1.0,4.0 +2050,1.0,0.0 +2051,1.0,2.0 +2052,2.0,4.0 +2053,1.0,1.0 +2054,4.0,3.0 +2055,0.0,5.0 +2056,2.0,4.0 +2057,2.0,1.0 +2058,3.0,5.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,2.0,5.0 +2062,1.0,4.0 +2063,0.0,2.0 +2064,4.0,4.0 +2065,0.0,8.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,3.0,5.0 +2069,0.0,5.0 +2070,0.0,3.0 +2071,1.0,5.0 +2072,2.0,8.0 +2073,4.0,2.0 +2074,1.0,5.0 +2075,2.0,4.0 +2076,4.0,0.0 +2077,1.0,5.0 +2078,1.0,5.0 +2079,0.0,4.0 +2080,2.0,4.0 +2081,1.0,5.0 +2082,3.0,5.0 +2083,2.0,4.0 +2084,0.0,2.0 +2085,4.0,3.0 +2086,1.0,4.0 +2087,1.0,3.0 +2088,1.0,3.0 +2089,3.0,3.0 +2090,1.0,3.0 +2091,3.0,3.0 +2092,3.0,4.0 +2093,0.0,3.0 +2094,1.0,4.0 +2095,2.0,2.0 +2096,3.0,5.0 +2097,0.0,4.0 +2098,0.0,3.0 +2099,0.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/789-peak+year_c.csv b/SurgeData/789-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/789-peak+year_c.csv rename to SurgeData/789-peak+year_c.csv diff --git a/SurgeData/N=1000/789-peak+year_w.csv b/SurgeData/789-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/789-peak+year_w.csv rename to SurgeData/789-peak+year_w.csv diff --git a/SurgeData/N=1000/789-peak_c.csv b/SurgeData/789-peak_c.csv similarity index 100% rename from SurgeData/N=1000/789-peak_c.csv rename to SurgeData/789-peak_c.csv diff --git a/SurgeData/N=1000/789-peak_w.csv b/SurgeData/789-peak_w.csv similarity index 100% rename from SurgeData/N=1000/789-peak_w.csv rename to SurgeData/789-peak_w.csv diff --git a/SurgeData/N=1000/789-surge_c.csv b/SurgeData/789-surge_c.csv similarity index 100% rename from SurgeData/N=1000/789-surge_c.csv rename to SurgeData/789-surge_c.csv diff --git a/SurgeData/N=1000/789-surge_w.csv b/SurgeData/789-surge_w.csv similarity index 100% rename from SurgeData/N=1000/789-surge_w.csv rename to SurgeData/789-surge_w.csv diff --git a/SurgeData/N=1000/789-time_c.csv b/SurgeData/789-time_c.csv similarity index 100% rename from SurgeData/N=1000/789-time_c.csv rename to SurgeData/789-time_c.csv diff --git a/SurgeData/N=1000/789-time_w.csv b/SurgeData/789-time_w.csv similarity index 100% rename from SurgeData/N=1000/789-time_w.csv rename to SurgeData/789-time_w.csv diff --git a/SurgeData/N=1000/789-waterlevel_c.csv b/SurgeData/789-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/789-waterlevel_c.csv rename to SurgeData/789-waterlevel_c.csv diff --git a/SurgeData/N=1000/789-waterlevel_w.csv b/SurgeData/789-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/789-waterlevel_w.csv rename to SurgeData/789-waterlevel_w.csv diff --git a/SurgeData/N=1000/79-peak+year_c.csv b/SurgeData/79-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/79-peak+year_c.csv rename to SurgeData/79-peak+year_c.csv diff --git a/SurgeData/N=1000/79-peak+year_w.csv b/SurgeData/79-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/79-peak+year_w.csv rename to SurgeData/79-peak+year_w.csv diff --git a/SurgeData/N=1000/79-peak_c.csv b/SurgeData/79-peak_c.csv similarity index 100% rename from SurgeData/N=1000/79-peak_c.csv rename to SurgeData/79-peak_c.csv diff --git a/SurgeData/N=1000/79-peak_w.csv b/SurgeData/79-peak_w.csv similarity index 100% rename from SurgeData/N=1000/79-peak_w.csv rename to SurgeData/79-peak_w.csv diff --git a/SurgeData/N=1000/79-surge_c.csv b/SurgeData/79-surge_c.csv similarity index 100% rename from SurgeData/N=1000/79-surge_c.csv rename to SurgeData/79-surge_c.csv diff --git a/SurgeData/N=1000/79-surge_w.csv b/SurgeData/79-surge_w.csv similarity index 100% rename from SurgeData/N=1000/79-surge_w.csv rename to SurgeData/79-surge_w.csv diff --git a/SurgeData/N=1000/79-time_c.csv b/SurgeData/79-time_c.csv similarity index 100% rename from SurgeData/N=1000/79-time_c.csv rename to SurgeData/79-time_c.csv diff --git a/SurgeData/N=1000/79-time_w.csv b/SurgeData/79-time_w.csv similarity index 100% rename from SurgeData/N=1000/79-time_w.csv rename to SurgeData/79-time_w.csv diff --git a/SurgeData/N=1000/79-waterlevel_c.csv b/SurgeData/79-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/79-waterlevel_c.csv rename to SurgeData/79-waterlevel_c.csv diff --git a/SurgeData/N=1000/79-waterlevel_w.csv b/SurgeData/79-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/79-waterlevel_w.csv rename to SurgeData/79-waterlevel_w.csv diff --git a/SurgeData/N=1000/790-peak+year_c.csv b/SurgeData/790-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/790-peak+year_c.csv rename to SurgeData/790-peak+year_c.csv diff --git a/SurgeData/N=1000/790-peak+year_w.csv b/SurgeData/790-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/790-peak+year_w.csv rename to SurgeData/790-peak+year_w.csv diff --git a/SurgeData/N=1000/790-peak_c.csv b/SurgeData/790-peak_c.csv similarity index 100% rename from SurgeData/N=1000/790-peak_c.csv rename to SurgeData/790-peak_c.csv diff --git a/SurgeData/N=1000/790-peak_w.csv b/SurgeData/790-peak_w.csv similarity index 100% rename from SurgeData/N=1000/790-peak_w.csv rename to SurgeData/790-peak_w.csv diff --git a/SurgeData/N=1000/790-surge_c.csv b/SurgeData/790-surge_c.csv similarity index 100% rename from SurgeData/N=1000/790-surge_c.csv rename to SurgeData/790-surge_c.csv diff --git a/SurgeData/N=1000/790-surge_w.csv b/SurgeData/790-surge_w.csv similarity index 100% rename from SurgeData/N=1000/790-surge_w.csv rename to SurgeData/790-surge_w.csv diff --git a/SurgeData/N=1000/790-time_c.csv b/SurgeData/790-time_c.csv similarity index 100% rename from SurgeData/N=1000/790-time_c.csv rename to SurgeData/790-time_c.csv diff --git a/SurgeData/N=1000/790-time_w.csv b/SurgeData/790-time_w.csv similarity index 100% rename from SurgeData/N=1000/790-time_w.csv rename to SurgeData/790-time_w.csv diff --git a/SurgeData/N=1000/790-waterlevel_c.csv b/SurgeData/790-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/790-waterlevel_c.csv rename to SurgeData/790-waterlevel_c.csv diff --git a/SurgeData/N=1000/790-waterlevel_w.csv b/SurgeData/790-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/790-waterlevel_w.csv rename to SurgeData/790-waterlevel_w.csv diff --git a/SurgeData/791-num_storm.csv b/SurgeData/791-num_storm.csv new file mode 100644 index 00000000..3e4d7c58 --- /dev/null +++ b/SurgeData/791-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,5.0 +2022,0.0,4.0 +2023,1.0,2.0 +2024,1.0,0.0 +2025,1.0,5.0 +2026,2.0,2.0 +2027,0.0,10.0 +2028,2.0,7.0 +2029,3.0,7.0 +2030,0.0,2.0 +2031,1.0,4.0 +2032,0.0,3.0 +2033,1.0,5.0 +2034,2.0,2.0 +2035,0.0,8.0 +2036,2.0,2.0 +2037,4.0,4.0 +2038,0.0,6.0 +2039,1.0,3.0 +2040,2.0,6.0 +2041,1.0,0.0 +2042,2.0,4.0 +2043,2.0,1.0 +2044,2.0,2.0 +2045,2.0,4.0 +2046,1.0,3.0 +2047,1.0,8.0 +2048,3.0,5.0 +2049,0.0,3.0 +2050,1.0,7.0 +2051,0.0,9.0 +2052,1.0,6.0 +2053,3.0,9.0 +2054,2.0,2.0 +2055,2.0,8.0 +2056,2.0,3.0 +2057,1.0,5.0 +2058,4.0,8.0 +2059,1.0,4.0 +2060,2.0,6.0 +2061,2.0,3.0 +2062,3.0,5.0 +2063,5.0,7.0 +2064,0.0,4.0 +2065,1.0,3.0 +2066,0.0,2.0 +2067,1.0,5.0 +2068,1.0,4.0 +2069,3.0,4.0 +2070,1.0,7.0 +2071,2.0,5.0 +2072,1.0,5.0 +2073,2.0,3.0 +2074,1.0,5.0 +2075,2.0,7.0 +2076,0.0,5.0 +2077,3.0,5.0 +2078,1.0,4.0 +2079,1.0,7.0 +2080,1.0,8.0 +2081,1.0,5.0 +2082,3.0,2.0 +2083,0.0,2.0 +2084,3.0,6.0 +2085,1.0,3.0 +2086,1.0,6.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,3.0,4.0 +2091,2.0,8.0 +2092,0.0,3.0 +2093,1.0,2.0 +2094,3.0,4.0 +2095,0.0,1.0 +2096,1.0,2.0 +2097,2.0,3.0 +2098,0.0,3.0 +2099,0.0,3.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/791-peak+year_c.csv b/SurgeData/791-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/791-peak+year_c.csv rename to SurgeData/791-peak+year_c.csv diff --git a/SurgeData/N=1000/791-peak+year_w.csv b/SurgeData/791-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/791-peak+year_w.csv rename to SurgeData/791-peak+year_w.csv diff --git a/SurgeData/N=1000/791-peak_c.csv b/SurgeData/791-peak_c.csv similarity index 100% rename from SurgeData/N=1000/791-peak_c.csv rename to SurgeData/791-peak_c.csv diff --git a/SurgeData/N=1000/791-peak_w.csv b/SurgeData/791-peak_w.csv similarity index 100% rename from SurgeData/N=1000/791-peak_w.csv rename to SurgeData/791-peak_w.csv diff --git a/SurgeData/N=1000/791-surge_c.csv b/SurgeData/791-surge_c.csv similarity index 100% rename from SurgeData/N=1000/791-surge_c.csv rename to SurgeData/791-surge_c.csv diff --git a/SurgeData/N=1000/791-surge_w.csv b/SurgeData/791-surge_w.csv similarity index 100% rename from SurgeData/N=1000/791-surge_w.csv rename to SurgeData/791-surge_w.csv diff --git a/SurgeData/N=1000/791-time_c.csv b/SurgeData/791-time_c.csv similarity index 100% rename from SurgeData/N=1000/791-time_c.csv rename to SurgeData/791-time_c.csv diff --git a/SurgeData/N=1000/791-time_w.csv b/SurgeData/791-time_w.csv similarity index 100% rename from SurgeData/N=1000/791-time_w.csv rename to SurgeData/791-time_w.csv diff --git a/SurgeData/N=1000/791-waterlevel_c.csv b/SurgeData/791-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/791-waterlevel_c.csv rename to SurgeData/791-waterlevel_c.csv diff --git a/SurgeData/N=1000/791-waterlevel_w.csv b/SurgeData/791-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/791-waterlevel_w.csv rename to SurgeData/791-waterlevel_w.csv diff --git a/SurgeData/792-num_storm.csv b/SurgeData/792-num_storm.csv new file mode 100644 index 00000000..5353bc8e --- /dev/null +++ b/SurgeData/792-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,2.0,2.0 +2022,1.0,5.0 +2023,3.0,4.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,2.0,0.0 +2027,1.0,4.0 +2028,2.0,4.0 +2029,1.0,4.0 +2030,0.0,7.0 +2031,1.0,3.0 +2032,0.0,5.0 +2033,0.0,9.0 +2034,1.0,4.0 +2035,2.0,2.0 +2036,2.0,2.0 +2037,2.0,5.0 +2038,3.0,6.0 +2039,2.0,2.0 +2040,2.0,4.0 +2041,1.0,6.0 +2042,1.0,6.0 +2043,0.0,4.0 +2044,1.0,3.0 +2045,4.0,2.0 +2046,1.0,10.0 +2047,3.0,2.0 +2048,0.0,4.0 +2049,2.0,5.0 +2050,0.0,1.0 +2051,3.0,7.0 +2052,4.0,3.0 +2053,1.0,6.0 +2054,3.0,4.0 +2055,2.0,4.0 +2056,3.0,6.0 +2057,1.0,9.0 +2058,4.0,4.0 +2059,3.0,6.0 +2060,0.0,3.0 +2061,2.0,4.0 +2062,2.0,2.0 +2063,3.0,2.0 +2064,0.0,4.0 +2065,0.0,9.0 +2066,1.0,1.0 +2067,2.0,6.0 +2068,2.0,5.0 +2069,1.0,6.0 +2070,1.0,3.0 +2071,4.0,3.0 +2072,2.0,2.0 +2073,0.0,4.0 +2074,0.0,2.0 +2075,1.0,9.0 +2076,1.0,4.0 +2077,0.0,6.0 +2078,3.0,6.0 +2079,3.0,4.0 +2080,1.0,2.0 +2081,3.0,4.0 +2082,0.0,2.0 +2083,0.0,5.0 +2084,1.0,2.0 +2085,1.0,2.0 +2086,2.0,4.0 +2087,1.0,1.0 +2088,2.0,3.0 +2089,3.0,1.0 +2090,2.0,6.0 +2091,1.0,7.0 +2092,1.0,6.0 +2093,0.0,6.0 +2094,3.0,6.0 +2095,1.0,4.0 +2096,1.0,5.0 +2097,1.0,4.0 +2098,1.0,4.0 +2099,1.0,2.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/792-peak+year_c.csv b/SurgeData/792-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/792-peak+year_c.csv rename to SurgeData/792-peak+year_c.csv diff --git a/SurgeData/N=1000/792-peak+year_w.csv b/SurgeData/792-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/792-peak+year_w.csv rename to SurgeData/792-peak+year_w.csv diff --git a/SurgeData/N=1000/792-peak_c.csv b/SurgeData/792-peak_c.csv similarity index 100% rename from SurgeData/N=1000/792-peak_c.csv rename to SurgeData/792-peak_c.csv diff --git a/SurgeData/N=1000/792-peak_w.csv b/SurgeData/792-peak_w.csv similarity index 100% rename from SurgeData/N=1000/792-peak_w.csv rename to SurgeData/792-peak_w.csv diff --git a/SurgeData/N=1000/792-surge_c.csv b/SurgeData/792-surge_c.csv similarity index 100% rename from SurgeData/N=1000/792-surge_c.csv rename to SurgeData/792-surge_c.csv diff --git a/SurgeData/N=1000/792-surge_w.csv b/SurgeData/792-surge_w.csv similarity index 100% rename from SurgeData/N=1000/792-surge_w.csv rename to SurgeData/792-surge_w.csv diff --git a/SurgeData/N=1000/792-time_c.csv b/SurgeData/792-time_c.csv similarity index 100% rename from SurgeData/N=1000/792-time_c.csv rename to SurgeData/792-time_c.csv diff --git a/SurgeData/N=1000/792-time_w.csv b/SurgeData/792-time_w.csv similarity index 100% rename from SurgeData/N=1000/792-time_w.csv rename to SurgeData/792-time_w.csv diff --git a/SurgeData/N=1000/792-waterlevel_c.csv b/SurgeData/792-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/792-waterlevel_c.csv rename to SurgeData/792-waterlevel_c.csv diff --git a/SurgeData/N=1000/792-waterlevel_w.csv b/SurgeData/792-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/792-waterlevel_w.csv rename to SurgeData/792-waterlevel_w.csv diff --git a/SurgeData/793-num_storm.csv b/SurgeData/793-num_storm.csv new file mode 100644 index 00000000..68295367 --- /dev/null +++ b/SurgeData/793-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,1.0,8.0 +2022,0.0,8.0 +2023,3.0,7.0 +2024,3.0,3.0 +2025,1.0,3.0 +2026,0.0,1.0 +2027,1.0,7.0 +2028,1.0,3.0 +2029,2.0,2.0 +2030,1.0,3.0 +2031,1.0,2.0 +2032,4.0,1.0 +2033,0.0,6.0 +2034,2.0,1.0 +2035,1.0,2.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,1.0,3.0 +2039,1.0,6.0 +2040,2.0,1.0 +2041,5.0,3.0 +2042,1.0,4.0 +2043,2.0,5.0 +2044,0.0,5.0 +2045,2.0,5.0 +2046,2.0,8.0 +2047,2.0,3.0 +2048,1.0,6.0 +2049,0.0,4.0 +2050,2.0,6.0 +2051,2.0,5.0 +2052,2.0,7.0 +2053,0.0,0.0 +2054,1.0,6.0 +2055,2.0,5.0 +2056,2.0,2.0 +2057,2.0,1.0 +2058,2.0,1.0 +2059,0.0,2.0 +2060,1.0,3.0 +2061,1.0,4.0 +2062,2.0,5.0 +2063,0.0,2.0 +2064,1.0,5.0 +2065,1.0,0.0 +2066,0.0,4.0 +2067,0.0,3.0 +2068,5.0,6.0 +2069,3.0,7.0 +2070,3.0,3.0 +2071,2.0,0.0 +2072,6.0,4.0 +2073,0.0,8.0 +2074,2.0,10.0 +2075,3.0,3.0 +2076,4.0,2.0 +2077,0.0,4.0 +2078,1.0,6.0 +2079,1.0,4.0 +2080,2.0,5.0 +2081,1.0,3.0 +2082,3.0,2.0 +2083,0.0,1.0 +2084,2.0,8.0 +2085,0.0,6.0 +2086,2.0,6.0 +2087,4.0,4.0 +2088,2.0,5.0 +2089,1.0,1.0 +2090,5.0,6.0 +2091,2.0,4.0 +2092,1.0,3.0 +2093,0.0,4.0 +2094,7.0,5.0 +2095,4.0,5.0 +2096,1.0,6.0 +2097,2.0,5.0 +2098,5.0,3.0 +2099,1.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/793-peak+year_c.csv b/SurgeData/793-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/793-peak+year_c.csv rename to SurgeData/793-peak+year_c.csv diff --git a/SurgeData/N=1000/793-peak+year_w.csv b/SurgeData/793-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/793-peak+year_w.csv rename to SurgeData/793-peak+year_w.csv diff --git a/SurgeData/N=1000/793-peak_c.csv b/SurgeData/793-peak_c.csv similarity index 100% rename from SurgeData/N=1000/793-peak_c.csv rename to SurgeData/793-peak_c.csv diff --git a/SurgeData/N=1000/793-peak_w.csv b/SurgeData/793-peak_w.csv similarity index 100% rename from SurgeData/N=1000/793-peak_w.csv rename to SurgeData/793-peak_w.csv diff --git a/SurgeData/N=1000/793-surge_c.csv b/SurgeData/793-surge_c.csv similarity index 100% rename from SurgeData/N=1000/793-surge_c.csv rename to SurgeData/793-surge_c.csv diff --git a/SurgeData/N=1000/793-surge_w.csv b/SurgeData/793-surge_w.csv similarity index 100% rename from SurgeData/N=1000/793-surge_w.csv rename to SurgeData/793-surge_w.csv diff --git a/SurgeData/N=1000/793-time_c.csv b/SurgeData/793-time_c.csv similarity index 100% rename from SurgeData/N=1000/793-time_c.csv rename to SurgeData/793-time_c.csv diff --git a/SurgeData/N=1000/793-time_w.csv b/SurgeData/793-time_w.csv similarity index 100% rename from SurgeData/N=1000/793-time_w.csv rename to SurgeData/793-time_w.csv diff --git a/SurgeData/N=1000/793-waterlevel_c.csv b/SurgeData/793-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/793-waterlevel_c.csv rename to SurgeData/793-waterlevel_c.csv diff --git a/SurgeData/N=1000/793-waterlevel_w.csv b/SurgeData/793-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/793-waterlevel_w.csv rename to SurgeData/793-waterlevel_w.csv diff --git a/SurgeData/794-num_storm.csv b/SurgeData/794-num_storm.csv new file mode 100644 index 00000000..345bd225 --- /dev/null +++ b/SurgeData/794-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,4.0 +2022,1.0,3.0 +2023,3.0,3.0 +2024,2.0,1.0 +2025,3.0,4.0 +2026,1.0,7.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,0.0,6.0 +2030,2.0,3.0 +2031,2.0,4.0 +2032,1.0,4.0 +2033,2.0,4.0 +2034,0.0,5.0 +2035,3.0,3.0 +2036,1.0,4.0 +2037,2.0,4.0 +2038,2.0,7.0 +2039,0.0,1.0 +2040,5.0,3.0 +2041,4.0,5.0 +2042,1.0,5.0 +2043,1.0,2.0 +2044,1.0,5.0 +2045,6.0,8.0 +2046,1.0,2.0 +2047,3.0,4.0 +2048,1.0,2.0 +2049,1.0,6.0 +2050,0.0,4.0 +2051,0.0,3.0 +2052,1.0,4.0 +2053,4.0,4.0 +2054,0.0,5.0 +2055,3.0,3.0 +2056,1.0,4.0 +2057,3.0,1.0 +2058,3.0,1.0 +2059,3.0,3.0 +2060,1.0,2.0 +2061,2.0,5.0 +2062,1.0,4.0 +2063,1.0,2.0 +2064,0.0,8.0 +2065,3.0,8.0 +2066,1.0,7.0 +2067,1.0,3.0 +2068,1.0,3.0 +2069,0.0,3.0 +2070,2.0,3.0 +2071,2.0,4.0 +2072,1.0,2.0 +2073,4.0,3.0 +2074,2.0,6.0 +2075,0.0,5.0 +2076,1.0,5.0 +2077,1.0,6.0 +2078,1.0,5.0 +2079,0.0,5.0 +2080,2.0,2.0 +2081,5.0,4.0 +2082,4.0,5.0 +2083,1.0,7.0 +2084,2.0,6.0 +2085,1.0,4.0 +2086,2.0,4.0 +2087,2.0,7.0 +2088,2.0,5.0 +2089,2.0,0.0 +2090,1.0,4.0 +2091,0.0,7.0 +2092,3.0,4.0 +2093,0.0,2.0 +2094,4.0,6.0 +2095,1.0,5.0 +2096,1.0,5.0 +2097,2.0,3.0 +2098,1.0,6.0 +2099,2.0,5.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/794-peak+year_c.csv b/SurgeData/794-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/794-peak+year_c.csv rename to SurgeData/794-peak+year_c.csv diff --git a/SurgeData/N=1000/794-peak+year_w.csv b/SurgeData/794-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/794-peak+year_w.csv rename to SurgeData/794-peak+year_w.csv diff --git a/SurgeData/N=1000/794-peak_c.csv b/SurgeData/794-peak_c.csv similarity index 100% rename from SurgeData/N=1000/794-peak_c.csv rename to SurgeData/794-peak_c.csv diff --git a/SurgeData/N=1000/794-peak_w.csv b/SurgeData/794-peak_w.csv similarity index 100% rename from SurgeData/N=1000/794-peak_w.csv rename to SurgeData/794-peak_w.csv diff --git a/SurgeData/N=1000/794-surge_c.csv b/SurgeData/794-surge_c.csv similarity index 100% rename from SurgeData/N=1000/794-surge_c.csv rename to SurgeData/794-surge_c.csv diff --git a/SurgeData/N=1000/794-surge_w.csv b/SurgeData/794-surge_w.csv similarity index 100% rename from SurgeData/N=1000/794-surge_w.csv rename to SurgeData/794-surge_w.csv diff --git a/SurgeData/N=1000/794-time_c.csv b/SurgeData/794-time_c.csv similarity index 100% rename from SurgeData/N=1000/794-time_c.csv rename to SurgeData/794-time_c.csv diff --git a/SurgeData/N=1000/794-time_w.csv b/SurgeData/794-time_w.csv similarity index 100% rename from SurgeData/N=1000/794-time_w.csv rename to SurgeData/794-time_w.csv diff --git a/SurgeData/N=1000/794-waterlevel_c.csv b/SurgeData/794-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/794-waterlevel_c.csv rename to SurgeData/794-waterlevel_c.csv diff --git a/SurgeData/N=1000/794-waterlevel_w.csv b/SurgeData/794-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/794-waterlevel_w.csv rename to SurgeData/794-waterlevel_w.csv diff --git a/SurgeData/795-num_storm.csv b/SurgeData/795-num_storm.csv new file mode 100644 index 00000000..30d6bb9d --- /dev/null +++ b/SurgeData/795-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,3.0,4.0 +2022,3.0,3.0 +2023,1.0,3.0 +2024,1.0,3.0 +2025,1.0,6.0 +2026,1.0,1.0 +2027,0.0,4.0 +2028,2.0,1.0 +2029,1.0,6.0 +2030,1.0,5.0 +2031,0.0,2.0 +2032,3.0,6.0 +2033,3.0,3.0 +2034,1.0,3.0 +2035,1.0,3.0 +2036,3.0,1.0 +2037,3.0,3.0 +2038,0.0,9.0 +2039,2.0,4.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,1.0,2.0 +2043,0.0,2.0 +2044,2.0,3.0 +2045,1.0,7.0 +2046,0.0,2.0 +2047,0.0,6.0 +2048,4.0,7.0 +2049,3.0,4.0 +2050,0.0,2.0 +2051,2.0,4.0 +2052,1.0,0.0 +2053,4.0,4.0 +2054,1.0,3.0 +2055,1.0,4.0 +2056,1.0,4.0 +2057,1.0,4.0 +2058,1.0,1.0 +2059,4.0,5.0 +2060,2.0,1.0 +2061,2.0,4.0 +2062,1.0,3.0 +2063,1.0,5.0 +2064,2.0,7.0 +2065,2.0,2.0 +2066,3.0,3.0 +2067,6.0,4.0 +2068,3.0,2.0 +2069,1.0,2.0 +2070,1.0,5.0 +2071,0.0,4.0 +2072,1.0,3.0 +2073,3.0,1.0 +2074,2.0,2.0 +2075,0.0,4.0 +2076,1.0,2.0 +2077,2.0,2.0 +2078,1.0,8.0 +2079,2.0,5.0 +2080,3.0,3.0 +2081,0.0,5.0 +2082,1.0,5.0 +2083,3.0,3.0 +2084,3.0,1.0 +2085,2.0,4.0 +2086,1.0,4.0 +2087,1.0,4.0 +2088,2.0,7.0 +2089,3.0,5.0 +2090,0.0,4.0 +2091,1.0,3.0 +2092,2.0,4.0 +2093,0.0,5.0 +2094,3.0,6.0 +2095,0.0,2.0 +2096,1.0,2.0 +2097,1.0,4.0 +2098,2.0,5.0 +2099,0.0,7.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/795-peak+year_c.csv b/SurgeData/795-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/795-peak+year_c.csv rename to SurgeData/795-peak+year_c.csv diff --git a/SurgeData/N=1000/795-peak+year_w.csv b/SurgeData/795-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/795-peak+year_w.csv rename to SurgeData/795-peak+year_w.csv diff --git a/SurgeData/N=1000/795-peak_c.csv b/SurgeData/795-peak_c.csv similarity index 100% rename from SurgeData/N=1000/795-peak_c.csv rename to SurgeData/795-peak_c.csv diff --git a/SurgeData/N=1000/795-peak_w.csv b/SurgeData/795-peak_w.csv similarity index 100% rename from SurgeData/N=1000/795-peak_w.csv rename to SurgeData/795-peak_w.csv diff --git a/SurgeData/N=1000/795-surge_c.csv b/SurgeData/795-surge_c.csv similarity index 100% rename from SurgeData/N=1000/795-surge_c.csv rename to SurgeData/795-surge_c.csv diff --git a/SurgeData/N=1000/795-surge_w.csv b/SurgeData/795-surge_w.csv similarity index 100% rename from SurgeData/N=1000/795-surge_w.csv rename to SurgeData/795-surge_w.csv diff --git a/SurgeData/N=1000/795-time_c.csv b/SurgeData/795-time_c.csv similarity index 100% rename from SurgeData/N=1000/795-time_c.csv rename to SurgeData/795-time_c.csv diff --git a/SurgeData/N=1000/795-time_w.csv b/SurgeData/795-time_w.csv similarity index 100% rename from SurgeData/N=1000/795-time_w.csv rename to SurgeData/795-time_w.csv diff --git a/SurgeData/N=1000/795-waterlevel_c.csv b/SurgeData/795-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/795-waterlevel_c.csv rename to SurgeData/795-waterlevel_c.csv diff --git a/SurgeData/N=1000/795-waterlevel_w.csv b/SurgeData/795-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/795-waterlevel_w.csv rename to SurgeData/795-waterlevel_w.csv diff --git a/SurgeData/796-num_storm.csv b/SurgeData/796-num_storm.csv new file mode 100644 index 00000000..8e24b716 --- /dev/null +++ b/SurgeData/796-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,0.0,3.0 +2022,2.0,1.0 +2023,2.0,3.0 +2024,2.0,3.0 +2025,3.0,2.0 +2026,1.0,4.0 +2027,3.0,0.0 +2028,3.0,3.0 +2029,2.0,10.0 +2030,1.0,2.0 +2031,1.0,6.0 +2032,1.0,5.0 +2033,2.0,2.0 +2034,0.0,3.0 +2035,1.0,5.0 +2036,3.0,3.0 +2037,2.0,3.0 +2038,1.0,4.0 +2039,0.0,6.0 +2040,2.0,6.0 +2041,0.0,5.0 +2042,0.0,2.0 +2043,2.0,3.0 +2044,2.0,2.0 +2045,2.0,2.0 +2046,3.0,8.0 +2047,1.0,5.0 +2048,1.0,4.0 +2049,0.0,3.0 +2050,2.0,4.0 +2051,1.0,4.0 +2052,1.0,5.0 +2053,4.0,4.0 +2054,2.0,4.0 +2055,2.0,8.0 +2056,0.0,6.0 +2057,0.0,2.0 +2058,1.0,6.0 +2059,4.0,3.0 +2060,1.0,3.0 +2061,2.0,3.0 +2062,2.0,2.0 +2063,1.0,6.0 +2064,1.0,3.0 +2065,0.0,4.0 +2066,1.0,5.0 +2067,1.0,5.0 +2068,2.0,4.0 +2069,0.0,6.0 +2070,2.0,3.0 +2071,2.0,7.0 +2072,0.0,5.0 +2073,3.0,7.0 +2074,0.0,4.0 +2075,0.0,2.0 +2076,1.0,4.0 +2077,2.0,5.0 +2078,1.0,4.0 +2079,2.0,5.0 +2080,0.0,6.0 +2081,1.0,6.0 +2082,3.0,2.0 +2083,3.0,2.0 +2084,1.0,6.0 +2085,1.0,5.0 +2086,2.0,6.0 +2087,1.0,4.0 +2088,2.0,4.0 +2089,0.0,3.0 +2090,3.0,2.0 +2091,0.0,6.0 +2092,1.0,3.0 +2093,4.0,5.0 +2094,2.0,6.0 +2095,3.0,3.0 +2096,0.0,4.0 +2097,1.0,3.0 +2098,1.0,2.0 +2099,0.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/796-peak+year_c.csv b/SurgeData/796-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/796-peak+year_c.csv rename to SurgeData/796-peak+year_c.csv diff --git a/SurgeData/N=1000/796-peak+year_w.csv b/SurgeData/796-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/796-peak+year_w.csv rename to SurgeData/796-peak+year_w.csv diff --git a/SurgeData/N=1000/796-peak_c.csv b/SurgeData/796-peak_c.csv similarity index 100% rename from SurgeData/N=1000/796-peak_c.csv rename to SurgeData/796-peak_c.csv diff --git a/SurgeData/N=1000/796-peak_w.csv b/SurgeData/796-peak_w.csv similarity index 100% rename from SurgeData/N=1000/796-peak_w.csv rename to SurgeData/796-peak_w.csv diff --git a/SurgeData/N=1000/796-surge_c.csv b/SurgeData/796-surge_c.csv similarity index 100% rename from SurgeData/N=1000/796-surge_c.csv rename to SurgeData/796-surge_c.csv diff --git a/SurgeData/N=1000/796-surge_w.csv b/SurgeData/796-surge_w.csv similarity index 100% rename from SurgeData/N=1000/796-surge_w.csv rename to SurgeData/796-surge_w.csv diff --git a/SurgeData/N=1000/796-time_c.csv b/SurgeData/796-time_c.csv similarity index 100% rename from SurgeData/N=1000/796-time_c.csv rename to SurgeData/796-time_c.csv diff --git a/SurgeData/N=1000/796-time_w.csv b/SurgeData/796-time_w.csv similarity index 100% rename from SurgeData/N=1000/796-time_w.csv rename to SurgeData/796-time_w.csv diff --git a/SurgeData/N=1000/796-waterlevel_c.csv b/SurgeData/796-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/796-waterlevel_c.csv rename to SurgeData/796-waterlevel_c.csv diff --git a/SurgeData/N=1000/796-waterlevel_w.csv b/SurgeData/796-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/796-waterlevel_w.csv rename to SurgeData/796-waterlevel_w.csv diff --git a/SurgeData/797-num_storm.csv b/SurgeData/797-num_storm.csv new file mode 100644 index 00000000..9455ec14 --- /dev/null +++ b/SurgeData/797-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,3.0,4.0 +2022,1.0,7.0 +2023,1.0,6.0 +2024,1.0,5.0 +2025,5.0,5.0 +2026,1.0,8.0 +2027,1.0,2.0 +2028,0.0,2.0 +2029,1.0,4.0 +2030,0.0,5.0 +2031,0.0,10.0 +2032,1.0,4.0 +2033,2.0,6.0 +2034,0.0,5.0 +2035,0.0,5.0 +2036,1.0,6.0 +2037,0.0,4.0 +2038,2.0,3.0 +2039,1.0,3.0 +2040,0.0,5.0 +2041,3.0,2.0 +2042,2.0,5.0 +2043,2.0,6.0 +2044,1.0,5.0 +2045,2.0,1.0 +2046,3.0,1.0 +2047,3.0,1.0 +2048,3.0,6.0 +2049,0.0,5.0 +2050,1.0,3.0 +2051,4.0,4.0 +2052,1.0,3.0 +2053,1.0,7.0 +2054,3.0,0.0 +2055,1.0,3.0 +2056,1.0,2.0 +2057,2.0,4.0 +2058,3.0,4.0 +2059,0.0,5.0 +2060,0.0,5.0 +2061,1.0,5.0 +2062,1.0,7.0 +2063,0.0,2.0 +2064,1.0,3.0 +2065,4.0,2.0 +2066,0.0,9.0 +2067,4.0,2.0 +2068,2.0,6.0 +2069,1.0,6.0 +2070,0.0,5.0 +2071,1.0,4.0 +2072,2.0,3.0 +2073,0.0,1.0 +2074,1.0,6.0 +2075,0.0,6.0 +2076,1.0,5.0 +2077,3.0,5.0 +2078,1.0,2.0 +2079,1.0,5.0 +2080,2.0,4.0 +2081,2.0,6.0 +2082,0.0,3.0 +2083,2.0,1.0 +2084,1.0,4.0 +2085,3.0,4.0 +2086,2.0,6.0 +2087,1.0,3.0 +2088,2.0,4.0 +2089,1.0,5.0 +2090,0.0,7.0 +2091,1.0,7.0 +2092,2.0,6.0 +2093,1.0,2.0 +2094,2.0,7.0 +2095,1.0,6.0 +2096,2.0,6.0 +2097,0.0,5.0 +2098,1.0,2.0 +2099,1.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/797-peak+year_c.csv b/SurgeData/797-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/797-peak+year_c.csv rename to SurgeData/797-peak+year_c.csv diff --git a/SurgeData/N=1000/797-peak+year_w.csv b/SurgeData/797-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/797-peak+year_w.csv rename to SurgeData/797-peak+year_w.csv diff --git a/SurgeData/N=1000/797-peak_c.csv b/SurgeData/797-peak_c.csv similarity index 100% rename from SurgeData/N=1000/797-peak_c.csv rename to SurgeData/797-peak_c.csv diff --git a/SurgeData/N=1000/797-peak_w.csv b/SurgeData/797-peak_w.csv similarity index 100% rename from SurgeData/N=1000/797-peak_w.csv rename to SurgeData/797-peak_w.csv diff --git a/SurgeData/N=1000/797-surge_c.csv b/SurgeData/797-surge_c.csv similarity index 100% rename from SurgeData/N=1000/797-surge_c.csv rename to SurgeData/797-surge_c.csv diff --git a/SurgeData/N=1000/797-surge_w.csv b/SurgeData/797-surge_w.csv similarity index 100% rename from SurgeData/N=1000/797-surge_w.csv rename to SurgeData/797-surge_w.csv diff --git a/SurgeData/N=1000/797-time_c.csv b/SurgeData/797-time_c.csv similarity index 100% rename from SurgeData/N=1000/797-time_c.csv rename to SurgeData/797-time_c.csv diff --git a/SurgeData/N=1000/797-time_w.csv b/SurgeData/797-time_w.csv similarity index 100% rename from SurgeData/N=1000/797-time_w.csv rename to SurgeData/797-time_w.csv diff --git a/SurgeData/N=1000/797-waterlevel_c.csv b/SurgeData/797-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/797-waterlevel_c.csv rename to SurgeData/797-waterlevel_c.csv diff --git a/SurgeData/N=1000/797-waterlevel_w.csv b/SurgeData/797-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/797-waterlevel_w.csv rename to SurgeData/797-waterlevel_w.csv diff --git a/SurgeData/798-num_storm.csv b/SurgeData/798-num_storm.csv new file mode 100644 index 00000000..4d2da8cc --- /dev/null +++ b/SurgeData/798-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,2.0 +2022,3.0,6.0 +2023,4.0,3.0 +2024,1.0,3.0 +2025,1.0,5.0 +2026,2.0,2.0 +2027,1.0,5.0 +2028,3.0,7.0 +2029,0.0,4.0 +2030,0.0,4.0 +2031,0.0,3.0 +2032,2.0,2.0 +2033,2.0,5.0 +2034,1.0,10.0 +2035,4.0,6.0 +2036,2.0,2.0 +2037,1.0,3.0 +2038,3.0,5.0 +2039,3.0,4.0 +2040,4.0,2.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,2.0,7.0 +2044,4.0,4.0 +2045,2.0,2.0 +2046,2.0,4.0 +2047,0.0,1.0 +2048,1.0,4.0 +2049,1.0,6.0 +2050,3.0,1.0 +2051,1.0,3.0 +2052,0.0,5.0 +2053,2.0,4.0 +2054,3.0,6.0 +2055,1.0,6.0 +2056,2.0,4.0 +2057,5.0,5.0 +2058,1.0,5.0 +2059,0.0,5.0 +2060,3.0,3.0 +2061,3.0,5.0 +2062,2.0,4.0 +2063,3.0,3.0 +2064,2.0,2.0 +2065,1.0,4.0 +2066,0.0,1.0 +2067,1.0,4.0 +2068,1.0,4.0 +2069,0.0,3.0 +2070,2.0,5.0 +2071,2.0,3.0 +2072,3.0,5.0 +2073,0.0,4.0 +2074,2.0,3.0 +2075,1.0,5.0 +2076,1.0,4.0 +2077,2.0,0.0 +2078,1.0,3.0 +2079,1.0,1.0 +2080,1.0,1.0 +2081,2.0,3.0 +2082,1.0,3.0 +2083,0.0,5.0 +2084,1.0,4.0 +2085,0.0,7.0 +2086,1.0,3.0 +2087,1.0,1.0 +2088,2.0,8.0 +2089,0.0,3.0 +2090,1.0,5.0 +2091,0.0,1.0 +2092,0.0,5.0 +2093,1.0,3.0 +2094,0.0,5.0 +2095,2.0,3.0 +2096,1.0,2.0 +2097,2.0,1.0 +2098,2.0,0.0 +2099,2.0,5.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/798-peak+year_c.csv b/SurgeData/798-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/798-peak+year_c.csv rename to SurgeData/798-peak+year_c.csv diff --git a/SurgeData/N=1000/798-peak+year_w.csv b/SurgeData/798-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/798-peak+year_w.csv rename to SurgeData/798-peak+year_w.csv diff --git a/SurgeData/N=1000/798-peak_c.csv b/SurgeData/798-peak_c.csv similarity index 100% rename from SurgeData/N=1000/798-peak_c.csv rename to SurgeData/798-peak_c.csv diff --git a/SurgeData/N=1000/798-peak_w.csv b/SurgeData/798-peak_w.csv similarity index 100% rename from SurgeData/N=1000/798-peak_w.csv rename to SurgeData/798-peak_w.csv diff --git a/SurgeData/N=1000/798-surge_c.csv b/SurgeData/798-surge_c.csv similarity index 100% rename from SurgeData/N=1000/798-surge_c.csv rename to SurgeData/798-surge_c.csv diff --git a/SurgeData/N=1000/798-surge_w.csv b/SurgeData/798-surge_w.csv similarity index 100% rename from SurgeData/N=1000/798-surge_w.csv rename to SurgeData/798-surge_w.csv diff --git a/SurgeData/N=1000/798-time_c.csv b/SurgeData/798-time_c.csv similarity index 100% rename from SurgeData/N=1000/798-time_c.csv rename to SurgeData/798-time_c.csv diff --git a/SurgeData/N=1000/798-time_w.csv b/SurgeData/798-time_w.csv similarity index 100% rename from SurgeData/N=1000/798-time_w.csv rename to SurgeData/798-time_w.csv diff --git a/SurgeData/N=1000/798-waterlevel_c.csv b/SurgeData/798-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/798-waterlevel_c.csv rename to SurgeData/798-waterlevel_c.csv diff --git a/SurgeData/N=1000/798-waterlevel_w.csv b/SurgeData/798-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/798-waterlevel_w.csv rename to SurgeData/798-waterlevel_w.csv diff --git a/SurgeData/799-num_storm.csv b/SurgeData/799-num_storm.csv new file mode 100644 index 00000000..59a8a657 --- /dev/null +++ b/SurgeData/799-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,7.0 +2022,2.0,7.0 +2023,2.0,6.0 +2024,1.0,4.0 +2025,0.0,5.0 +2026,1.0,3.0 +2027,1.0,3.0 +2028,2.0,2.0 +2029,3.0,4.0 +2030,1.0,4.0 +2031,2.0,3.0 +2032,2.0,7.0 +2033,3.0,3.0 +2034,1.0,3.0 +2035,1.0,1.0 +2036,0.0,5.0 +2037,1.0,1.0 +2038,2.0,6.0 +2039,0.0,8.0 +2040,1.0,4.0 +2041,0.0,4.0 +2042,3.0,4.0 +2043,1.0,2.0 +2044,0.0,1.0 +2045,2.0,2.0 +2046,0.0,5.0 +2047,0.0,3.0 +2048,1.0,7.0 +2049,1.0,3.0 +2050,0.0,2.0 +2051,5.0,2.0 +2052,0.0,3.0 +2053,1.0,3.0 +2054,2.0,4.0 +2055,1.0,3.0 +2056,1.0,6.0 +2057,1.0,5.0 +2058,1.0,5.0 +2059,3.0,6.0 +2060,2.0,5.0 +2061,1.0,5.0 +2062,2.0,5.0 +2063,2.0,2.0 +2064,4.0,2.0 +2065,0.0,4.0 +2066,1.0,5.0 +2067,1.0,7.0 +2068,1.0,4.0 +2069,2.0,4.0 +2070,0.0,4.0 +2071,1.0,4.0 +2072,4.0,9.0 +2073,0.0,5.0 +2074,1.0,4.0 +2075,1.0,5.0 +2076,1.0,4.0 +2077,2.0,8.0 +2078,1.0,5.0 +2079,2.0,5.0 +2080,1.0,7.0 +2081,2.0,5.0 +2082,1.0,3.0 +2083,2.0,2.0 +2084,0.0,7.0 +2085,6.0,4.0 +2086,4.0,5.0 +2087,1.0,3.0 +2088,2.0,5.0 +2089,1.0,8.0 +2090,2.0,3.0 +2091,0.0,6.0 +2092,2.0,4.0 +2093,0.0,2.0 +2094,1.0,4.0 +2095,0.0,2.0 +2096,0.0,8.0 +2097,1.0,5.0 +2098,2.0,1.0 +2099,0.0,6.0 +2100,4.0,5.0 diff --git a/SurgeData/N=1000/799-peak+year_c.csv b/SurgeData/799-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/799-peak+year_c.csv rename to SurgeData/799-peak+year_c.csv diff --git a/SurgeData/N=1000/799-peak+year_w.csv b/SurgeData/799-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/799-peak+year_w.csv rename to SurgeData/799-peak+year_w.csv diff --git a/SurgeData/N=1000/799-peak_c.csv b/SurgeData/799-peak_c.csv similarity index 100% rename from SurgeData/N=1000/799-peak_c.csv rename to SurgeData/799-peak_c.csv diff --git a/SurgeData/N=1000/799-peak_w.csv b/SurgeData/799-peak_w.csv similarity index 100% rename from SurgeData/N=1000/799-peak_w.csv rename to SurgeData/799-peak_w.csv diff --git a/SurgeData/N=1000/799-surge_c.csv b/SurgeData/799-surge_c.csv similarity index 100% rename from SurgeData/N=1000/799-surge_c.csv rename to SurgeData/799-surge_c.csv diff --git a/SurgeData/N=1000/799-surge_w.csv b/SurgeData/799-surge_w.csv similarity index 100% rename from SurgeData/N=1000/799-surge_w.csv rename to SurgeData/799-surge_w.csv diff --git a/SurgeData/N=1000/799-time_c.csv b/SurgeData/799-time_c.csv similarity index 100% rename from SurgeData/N=1000/799-time_c.csv rename to SurgeData/799-time_c.csv diff --git a/SurgeData/N=1000/799-time_w.csv b/SurgeData/799-time_w.csv similarity index 100% rename from SurgeData/N=1000/799-time_w.csv rename to SurgeData/799-time_w.csv diff --git a/SurgeData/N=1000/799-waterlevel_c.csv b/SurgeData/799-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/799-waterlevel_c.csv rename to SurgeData/799-waterlevel_c.csv diff --git a/SurgeData/N=1000/799-waterlevel_w.csv b/SurgeData/799-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/799-waterlevel_w.csv rename to SurgeData/799-waterlevel_w.csv diff --git a/SurgeData/8-num_storm.csv b/SurgeData/8-num_storm.csv new file mode 100644 index 00000000..3da678ef --- /dev/null +++ b/SurgeData/8-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,4.0 +2022,2.0,4.0 +2023,1.0,2.0 +2024,2.0,5.0 +2025,0.0,4.0 +2026,2.0,5.0 +2027,1.0,4.0 +2028,1.0,7.0 +2029,1.0,5.0 +2030,1.0,2.0 +2031,1.0,6.0 +2032,3.0,4.0 +2033,3.0,2.0 +2034,0.0,6.0 +2035,3.0,4.0 +2036,1.0,2.0 +2037,3.0,2.0 +2038,0.0,5.0 +2039,2.0,7.0 +2040,1.0,7.0 +2041,0.0,1.0 +2042,1.0,2.0 +2043,2.0,3.0 +2044,2.0,2.0 +2045,1.0,3.0 +2046,0.0,5.0 +2047,2.0,2.0 +2048,2.0,6.0 +2049,0.0,5.0 +2050,1.0,3.0 +2051,2.0,3.0 +2052,0.0,5.0 +2053,2.0,2.0 +2054,0.0,3.0 +2055,1.0,5.0 +2056,2.0,3.0 +2057,3.0,3.0 +2058,1.0,4.0 +2059,2.0,3.0 +2060,1.0,2.0 +2061,0.0,11.0 +2062,0.0,4.0 +2063,2.0,8.0 +2064,0.0,9.0 +2065,1.0,4.0 +2066,3.0,5.0 +2067,3.0,4.0 +2068,2.0,2.0 +2069,0.0,5.0 +2070,2.0,3.0 +2071,2.0,1.0 +2072,1.0,4.0 +2073,0.0,8.0 +2074,3.0,9.0 +2075,3.0,5.0 +2076,0.0,4.0 +2077,4.0,4.0 +2078,1.0,7.0 +2079,3.0,5.0 +2080,1.0,2.0 +2081,1.0,2.0 +2082,3.0,4.0 +2083,0.0,4.0 +2084,2.0,7.0 +2085,2.0,1.0 +2086,4.0,5.0 +2087,2.0,1.0 +2088,1.0,6.0 +2089,2.0,3.0 +2090,2.0,4.0 +2091,2.0,3.0 +2092,2.0,3.0 +2093,2.0,4.0 +2094,0.0,4.0 +2095,4.0,5.0 +2096,2.0,2.0 +2097,2.0,6.0 +2098,3.0,6.0 +2099,2.0,2.0 +2100,3.0,8.0 diff --git a/SurgeData/N=1000/8-peak+year_c.csv b/SurgeData/8-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/8-peak+year_c.csv rename to SurgeData/8-peak+year_c.csv diff --git a/SurgeData/N=1000/8-peak+year_w.csv b/SurgeData/8-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/8-peak+year_w.csv rename to SurgeData/8-peak+year_w.csv diff --git a/SurgeData/N=1000/8-peak_c.csv b/SurgeData/8-peak_c.csv similarity index 100% rename from SurgeData/N=1000/8-peak_c.csv rename to SurgeData/8-peak_c.csv diff --git a/SurgeData/N=1000/8-peak_w.csv b/SurgeData/8-peak_w.csv similarity index 100% rename from SurgeData/N=1000/8-peak_w.csv rename to SurgeData/8-peak_w.csv diff --git a/SurgeData/N=1000/8-surge_c.csv b/SurgeData/8-surge_c.csv similarity index 100% rename from SurgeData/N=1000/8-surge_c.csv rename to SurgeData/8-surge_c.csv diff --git a/SurgeData/N=1000/8-surge_w.csv b/SurgeData/8-surge_w.csv similarity index 100% rename from SurgeData/N=1000/8-surge_w.csv rename to SurgeData/8-surge_w.csv diff --git a/SurgeData/N=1000/8-time_c.csv b/SurgeData/8-time_c.csv similarity index 100% rename from SurgeData/N=1000/8-time_c.csv rename to SurgeData/8-time_c.csv diff --git a/SurgeData/N=1000/8-time_w.csv b/SurgeData/8-time_w.csv similarity index 100% rename from SurgeData/N=1000/8-time_w.csv rename to SurgeData/8-time_w.csv diff --git a/SurgeData/N=1000/8-waterlevel_c.csv b/SurgeData/8-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/8-waterlevel_c.csv rename to SurgeData/8-waterlevel_c.csv diff --git a/SurgeData/N=1000/8-waterlevel_w.csv b/SurgeData/8-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/8-waterlevel_w.csv rename to SurgeData/8-waterlevel_w.csv diff --git a/SurgeData/80-num_storm.csv b/SurgeData/80-num_storm.csv new file mode 100644 index 00000000..6ee96c76 --- /dev/null +++ b/SurgeData/80-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,5.0,6.0 +2022,3.0,4.0 +2023,0.0,6.0 +2024,3.0,6.0 +2025,1.0,7.0 +2026,0.0,2.0 +2027,3.0,5.0 +2028,3.0,6.0 +2029,4.0,5.0 +2030,5.0,2.0 +2031,3.0,3.0 +2032,2.0,8.0 +2033,2.0,3.0 +2034,3.0,1.0 +2035,2.0,5.0 +2036,0.0,1.0 +2037,2.0,4.0 +2038,2.0,4.0 +2039,3.0,3.0 +2040,2.0,10.0 +2041,1.0,3.0 +2042,1.0,4.0 +2043,4.0,6.0 +2044,0.0,6.0 +2045,0.0,10.0 +2046,3.0,0.0 +2047,3.0,1.0 +2048,2.0,5.0 +2049,2.0,3.0 +2050,3.0,4.0 +2051,1.0,1.0 +2052,0.0,6.0 +2053,2.0,7.0 +2054,1.0,7.0 +2055,2.0,1.0 +2056,0.0,1.0 +2057,3.0,6.0 +2058,0.0,2.0 +2059,2.0,9.0 +2060,0.0,2.0 +2061,1.0,4.0 +2062,3.0,4.0 +2063,2.0,9.0 +2064,4.0,4.0 +2065,0.0,6.0 +2066,3.0,3.0 +2067,0.0,1.0 +2068,2.0,6.0 +2069,2.0,2.0 +2070,3.0,4.0 +2071,1.0,6.0 +2072,1.0,6.0 +2073,3.0,4.0 +2074,2.0,6.0 +2075,1.0,5.0 +2076,1.0,5.0 +2077,1.0,7.0 +2078,1.0,2.0 +2079,0.0,6.0 +2080,2.0,5.0 +2081,0.0,8.0 +2082,1.0,5.0 +2083,2.0,4.0 +2084,3.0,4.0 +2085,3.0,0.0 +2086,2.0,5.0 +2087,0.0,8.0 +2088,2.0,3.0 +2089,3.0,3.0 +2090,1.0,5.0 +2091,0.0,4.0 +2092,1.0,2.0 +2093,0.0,2.0 +2094,2.0,2.0 +2095,1.0,5.0 +2096,0.0,5.0 +2097,1.0,3.0 +2098,2.0,3.0 +2099,2.0,4.0 +2100,5.0,2.0 diff --git a/SurgeData/N=1000/80-peak+year_c.csv b/SurgeData/80-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/80-peak+year_c.csv rename to SurgeData/80-peak+year_c.csv diff --git a/SurgeData/N=1000/80-peak+year_w.csv b/SurgeData/80-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/80-peak+year_w.csv rename to SurgeData/80-peak+year_w.csv diff --git a/SurgeData/N=1000/80-peak_c.csv b/SurgeData/80-peak_c.csv similarity index 100% rename from SurgeData/N=1000/80-peak_c.csv rename to SurgeData/80-peak_c.csv diff --git a/SurgeData/N=1000/80-peak_w.csv b/SurgeData/80-peak_w.csv similarity index 100% rename from SurgeData/N=1000/80-peak_w.csv rename to SurgeData/80-peak_w.csv diff --git a/SurgeData/N=1000/80-surge_c.csv b/SurgeData/80-surge_c.csv similarity index 100% rename from SurgeData/N=1000/80-surge_c.csv rename to SurgeData/80-surge_c.csv diff --git a/SurgeData/N=1000/80-surge_w.csv b/SurgeData/80-surge_w.csv similarity index 100% rename from SurgeData/N=1000/80-surge_w.csv rename to SurgeData/80-surge_w.csv diff --git a/SurgeData/N=1000/80-time_c.csv b/SurgeData/80-time_c.csv similarity index 100% rename from SurgeData/N=1000/80-time_c.csv rename to SurgeData/80-time_c.csv diff --git a/SurgeData/N=1000/80-time_w.csv b/SurgeData/80-time_w.csv similarity index 100% rename from SurgeData/N=1000/80-time_w.csv rename to SurgeData/80-time_w.csv diff --git a/SurgeData/N=1000/80-waterlevel_c.csv b/SurgeData/80-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/80-waterlevel_c.csv rename to SurgeData/80-waterlevel_c.csv diff --git a/SurgeData/N=1000/80-waterlevel_w.csv b/SurgeData/80-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/80-waterlevel_w.csv rename to SurgeData/80-waterlevel_w.csv diff --git a/SurgeData/800-num_storm.csv b/SurgeData/800-num_storm.csv new file mode 100644 index 00000000..fd1c2263 --- /dev/null +++ b/SurgeData/800-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,8.0 +2022,0.0,4.0 +2023,2.0,6.0 +2024,1.0,6.0 +2025,2.0,4.0 +2026,3.0,4.0 +2027,2.0,2.0 +2028,0.0,5.0 +2029,3.0,0.0 +2030,2.0,4.0 +2031,1.0,4.0 +2032,1.0,6.0 +2033,1.0,1.0 +2034,2.0,7.0 +2035,0.0,2.0 +2036,0.0,3.0 +2037,1.0,5.0 +2038,1.0,2.0 +2039,0.0,10.0 +2040,2.0,2.0 +2041,2.0,4.0 +2042,3.0,6.0 +2043,1.0,4.0 +2044,1.0,0.0 +2045,0.0,7.0 +2046,3.0,5.0 +2047,1.0,4.0 +2048,2.0,6.0 +2049,3.0,3.0 +2050,3.0,3.0 +2051,3.0,2.0 +2052,2.0,1.0 +2053,1.0,1.0 +2054,0.0,4.0 +2055,1.0,3.0 +2056,1.0,4.0 +2057,2.0,4.0 +2058,3.0,3.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,2.0,1.0 +2062,0.0,4.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,1.0,4.0 +2066,1.0,4.0 +2067,3.0,2.0 +2068,3.0,14.0 +2069,3.0,2.0 +2070,1.0,4.0 +2071,1.0,4.0 +2072,1.0,4.0 +2073,2.0,3.0 +2074,5.0,0.0 +2075,0.0,4.0 +2076,3.0,5.0 +2077,0.0,6.0 +2078,1.0,7.0 +2079,0.0,7.0 +2080,1.0,3.0 +2081,0.0,5.0 +2082,2.0,3.0 +2083,0.0,3.0 +2084,3.0,3.0 +2085,2.0,4.0 +2086,2.0,6.0 +2087,2.0,6.0 +2088,1.0,5.0 +2089,2.0,0.0 +2090,1.0,2.0 +2091,3.0,4.0 +2092,0.0,5.0 +2093,0.0,7.0 +2094,1.0,4.0 +2095,1.0,2.0 +2096,1.0,8.0 +2097,2.0,5.0 +2098,2.0,8.0 +2099,3.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/800-peak+year_c.csv b/SurgeData/800-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/800-peak+year_c.csv rename to SurgeData/800-peak+year_c.csv diff --git a/SurgeData/N=1000/800-peak+year_w.csv b/SurgeData/800-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/800-peak+year_w.csv rename to SurgeData/800-peak+year_w.csv diff --git a/SurgeData/N=1000/800-peak_c.csv b/SurgeData/800-peak_c.csv similarity index 100% rename from SurgeData/N=1000/800-peak_c.csv rename to SurgeData/800-peak_c.csv diff --git a/SurgeData/N=1000/800-peak_w.csv b/SurgeData/800-peak_w.csv similarity index 100% rename from SurgeData/N=1000/800-peak_w.csv rename to SurgeData/800-peak_w.csv diff --git a/SurgeData/N=1000/800-surge_c.csv b/SurgeData/800-surge_c.csv similarity index 100% rename from SurgeData/N=1000/800-surge_c.csv rename to SurgeData/800-surge_c.csv diff --git a/SurgeData/N=1000/800-surge_w.csv b/SurgeData/800-surge_w.csv similarity index 100% rename from SurgeData/N=1000/800-surge_w.csv rename to SurgeData/800-surge_w.csv diff --git a/SurgeData/N=1000/800-time_c.csv b/SurgeData/800-time_c.csv similarity index 100% rename from SurgeData/N=1000/800-time_c.csv rename to SurgeData/800-time_c.csv diff --git a/SurgeData/N=1000/800-time_w.csv b/SurgeData/800-time_w.csv similarity index 100% rename from SurgeData/N=1000/800-time_w.csv rename to SurgeData/800-time_w.csv diff --git a/SurgeData/N=1000/800-waterlevel_c.csv b/SurgeData/800-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/800-waterlevel_c.csv rename to SurgeData/800-waterlevel_c.csv diff --git a/SurgeData/N=1000/800-waterlevel_w.csv b/SurgeData/800-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/800-waterlevel_w.csv rename to SurgeData/800-waterlevel_w.csv diff --git a/SurgeData/801-num_storm.csv b/SurgeData/801-num_storm.csv new file mode 100644 index 00000000..31fc2351 --- /dev/null +++ b/SurgeData/801-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,2.0 +2022,3.0,3.0 +2023,1.0,6.0 +2024,4.0,4.0 +2025,1.0,1.0 +2026,2.0,6.0 +2027,0.0,2.0 +2028,0.0,6.0 +2029,1.0,7.0 +2030,0.0,4.0 +2031,2.0,4.0 +2032,1.0,4.0 +2033,1.0,4.0 +2034,1.0,3.0 +2035,1.0,7.0 +2036,0.0,2.0 +2037,2.0,4.0 +2038,2.0,2.0 +2039,2.0,5.0 +2040,0.0,5.0 +2041,3.0,2.0 +2042,0.0,3.0 +2043,0.0,4.0 +2044,3.0,5.0 +2045,2.0,2.0 +2046,3.0,4.0 +2047,2.0,8.0 +2048,2.0,5.0 +2049,2.0,3.0 +2050,1.0,2.0 +2051,0.0,2.0 +2052,1.0,3.0 +2053,1.0,5.0 +2054,3.0,4.0 +2055,0.0,9.0 +2056,3.0,1.0 +2057,2.0,3.0 +2058,1.0,5.0 +2059,3.0,3.0 +2060,1.0,4.0 +2061,3.0,5.0 +2062,2.0,2.0 +2063,3.0,2.0 +2064,4.0,5.0 +2065,1.0,4.0 +2066,2.0,4.0 +2067,2.0,6.0 +2068,0.0,7.0 +2069,1.0,5.0 +2070,0.0,4.0 +2071,3.0,4.0 +2072,4.0,2.0 +2073,2.0,6.0 +2074,2.0,1.0 +2075,2.0,5.0 +2076,2.0,2.0 +2077,3.0,9.0 +2078,2.0,5.0 +2079,1.0,5.0 +2080,1.0,4.0 +2081,1.0,4.0 +2082,2.0,1.0 +2083,0.0,6.0 +2084,0.0,3.0 +2085,1.0,5.0 +2086,1.0,6.0 +2087,2.0,1.0 +2088,2.0,2.0 +2089,0.0,2.0 +2090,2.0,3.0 +2091,1.0,1.0 +2092,1.0,4.0 +2093,4.0,4.0 +2094,3.0,4.0 +2095,2.0,2.0 +2096,1.0,6.0 +2097,1.0,3.0 +2098,0.0,8.0 +2099,1.0,4.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/801-peak+year_c.csv b/SurgeData/801-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/801-peak+year_c.csv rename to SurgeData/801-peak+year_c.csv diff --git a/SurgeData/N=1000/801-peak+year_w.csv b/SurgeData/801-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/801-peak+year_w.csv rename to SurgeData/801-peak+year_w.csv diff --git a/SurgeData/N=1000/801-peak_c.csv b/SurgeData/801-peak_c.csv similarity index 100% rename from SurgeData/N=1000/801-peak_c.csv rename to SurgeData/801-peak_c.csv diff --git a/SurgeData/N=1000/801-peak_w.csv b/SurgeData/801-peak_w.csv similarity index 100% rename from SurgeData/N=1000/801-peak_w.csv rename to SurgeData/801-peak_w.csv diff --git a/SurgeData/N=1000/801-surge_c.csv b/SurgeData/801-surge_c.csv similarity index 100% rename from SurgeData/N=1000/801-surge_c.csv rename to SurgeData/801-surge_c.csv diff --git a/SurgeData/N=1000/801-surge_w.csv b/SurgeData/801-surge_w.csv similarity index 100% rename from SurgeData/N=1000/801-surge_w.csv rename to SurgeData/801-surge_w.csv diff --git a/SurgeData/N=1000/801-time_c.csv b/SurgeData/801-time_c.csv similarity index 100% rename from SurgeData/N=1000/801-time_c.csv rename to SurgeData/801-time_c.csv diff --git a/SurgeData/N=1000/801-time_w.csv b/SurgeData/801-time_w.csv similarity index 100% rename from SurgeData/N=1000/801-time_w.csv rename to SurgeData/801-time_w.csv diff --git a/SurgeData/N=1000/801-waterlevel_c.csv b/SurgeData/801-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/801-waterlevel_c.csv rename to SurgeData/801-waterlevel_c.csv diff --git a/SurgeData/N=1000/801-waterlevel_w.csv b/SurgeData/801-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/801-waterlevel_w.csv rename to SurgeData/801-waterlevel_w.csv diff --git a/SurgeData/802-num_storm.csv b/SurgeData/802-num_storm.csv new file mode 100644 index 00000000..aba72ba0 --- /dev/null +++ b/SurgeData/802-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,3.0,7.0 +2022,1.0,6.0 +2023,2.0,6.0 +2024,0.0,3.0 +2025,2.0,3.0 +2026,3.0,3.0 +2027,2.0,3.0 +2028,0.0,6.0 +2029,2.0,5.0 +2030,2.0,8.0 +2031,1.0,4.0 +2032,2.0,4.0 +2033,0.0,4.0 +2034,2.0,1.0 +2035,3.0,8.0 +2036,3.0,3.0 +2037,1.0,8.0 +2038,0.0,8.0 +2039,0.0,2.0 +2040,2.0,4.0 +2041,0.0,2.0 +2042,4.0,3.0 +2043,3.0,4.0 +2044,0.0,6.0 +2045,0.0,8.0 +2046,2.0,7.0 +2047,1.0,7.0 +2048,2.0,7.0 +2049,2.0,7.0 +2050,1.0,4.0 +2051,2.0,3.0 +2052,2.0,3.0 +2053,2.0,3.0 +2054,1.0,2.0 +2055,3.0,3.0 +2056,3.0,1.0 +2057,5.0,4.0 +2058,3.0,2.0 +2059,2.0,2.0 +2060,2.0,6.0 +2061,0.0,1.0 +2062,0.0,7.0 +2063,4.0,1.0 +2064,1.0,8.0 +2065,1.0,6.0 +2066,0.0,4.0 +2067,2.0,6.0 +2068,1.0,1.0 +2069,2.0,6.0 +2070,3.0,6.0 +2071,2.0,2.0 +2072,0.0,8.0 +2073,0.0,10.0 +2074,3.0,6.0 +2075,0.0,4.0 +2076,4.0,2.0 +2077,2.0,7.0 +2078,0.0,3.0 +2079,2.0,4.0 +2080,2.0,3.0 +2081,2.0,6.0 +2082,1.0,3.0 +2083,1.0,5.0 +2084,0.0,3.0 +2085,2.0,5.0 +2086,2.0,2.0 +2087,3.0,5.0 +2088,1.0,1.0 +2089,0.0,7.0 +2090,1.0,2.0 +2091,2.0,0.0 +2092,1.0,5.0 +2093,0.0,6.0 +2094,2.0,7.0 +2095,0.0,8.0 +2096,0.0,5.0 +2097,3.0,7.0 +2098,0.0,11.0 +2099,0.0,6.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/802-peak+year_c.csv b/SurgeData/802-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/802-peak+year_c.csv rename to SurgeData/802-peak+year_c.csv diff --git a/SurgeData/N=1000/802-peak+year_w.csv b/SurgeData/802-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/802-peak+year_w.csv rename to SurgeData/802-peak+year_w.csv diff --git a/SurgeData/N=1000/802-peak_c.csv b/SurgeData/802-peak_c.csv similarity index 100% rename from SurgeData/N=1000/802-peak_c.csv rename to SurgeData/802-peak_c.csv diff --git a/SurgeData/N=1000/802-peak_w.csv b/SurgeData/802-peak_w.csv similarity index 100% rename from SurgeData/N=1000/802-peak_w.csv rename to SurgeData/802-peak_w.csv diff --git a/SurgeData/N=1000/802-surge_c.csv b/SurgeData/802-surge_c.csv similarity index 100% rename from SurgeData/N=1000/802-surge_c.csv rename to SurgeData/802-surge_c.csv diff --git a/SurgeData/N=1000/802-surge_w.csv b/SurgeData/802-surge_w.csv similarity index 100% rename from SurgeData/N=1000/802-surge_w.csv rename to SurgeData/802-surge_w.csv diff --git a/SurgeData/N=1000/802-time_c.csv b/SurgeData/802-time_c.csv similarity index 100% rename from SurgeData/N=1000/802-time_c.csv rename to SurgeData/802-time_c.csv diff --git a/SurgeData/N=1000/802-time_w.csv b/SurgeData/802-time_w.csv similarity index 100% rename from SurgeData/N=1000/802-time_w.csv rename to SurgeData/802-time_w.csv diff --git a/SurgeData/N=1000/802-waterlevel_c.csv b/SurgeData/802-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/802-waterlevel_c.csv rename to SurgeData/802-waterlevel_c.csv diff --git a/SurgeData/N=1000/802-waterlevel_w.csv b/SurgeData/802-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/802-waterlevel_w.csv rename to SurgeData/802-waterlevel_w.csv diff --git a/SurgeData/803-num_storm.csv b/SurgeData/803-num_storm.csv new file mode 100644 index 00000000..b98b2975 --- /dev/null +++ b/SurgeData/803-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,7.0 +2022,4.0,5.0 +2023,0.0,5.0 +2024,3.0,2.0 +2025,0.0,10.0 +2026,0.0,3.0 +2027,2.0,3.0 +2028,1.0,1.0 +2029,1.0,4.0 +2030,3.0,6.0 +2031,1.0,1.0 +2032,3.0,4.0 +2033,1.0,3.0 +2034,2.0,5.0 +2035,1.0,0.0 +2036,0.0,8.0 +2037,1.0,4.0 +2038,2.0,6.0 +2039,1.0,3.0 +2040,1.0,6.0 +2041,1.0,3.0 +2042,1.0,7.0 +2043,4.0,1.0 +2044,1.0,2.0 +2045,0.0,3.0 +2046,2.0,8.0 +2047,0.0,2.0 +2048,1.0,2.0 +2049,0.0,7.0 +2050,2.0,3.0 +2051,0.0,9.0 +2052,3.0,5.0 +2053,2.0,5.0 +2054,2.0,9.0 +2055,1.0,4.0 +2056,1.0,5.0 +2057,1.0,7.0 +2058,3.0,4.0 +2059,1.0,8.0 +2060,1.0,4.0 +2061,3.0,3.0 +2062,0.0,7.0 +2063,1.0,3.0 +2064,0.0,6.0 +2065,2.0,4.0 +2066,2.0,7.0 +2067,6.0,4.0 +2068,2.0,3.0 +2069,2.0,4.0 +2070,2.0,4.0 +2071,3.0,7.0 +2072,2.0,3.0 +2073,3.0,5.0 +2074,1.0,2.0 +2075,6.0,1.0 +2076,3.0,5.0 +2077,0.0,2.0 +2078,3.0,8.0 +2079,1.0,8.0 +2080,5.0,3.0 +2081,1.0,1.0 +2082,1.0,2.0 +2083,0.0,3.0 +2084,3.0,4.0 +2085,1.0,2.0 +2086,0.0,3.0 +2087,1.0,3.0 +2088,3.0,2.0 +2089,1.0,8.0 +2090,1.0,5.0 +2091,0.0,4.0 +2092,2.0,7.0 +2093,2.0,7.0 +2094,0.0,3.0 +2095,0.0,3.0 +2096,0.0,2.0 +2097,0.0,3.0 +2098,0.0,6.0 +2099,5.0,5.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/803-peak+year_c.csv b/SurgeData/803-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/803-peak+year_c.csv rename to SurgeData/803-peak+year_c.csv diff --git a/SurgeData/N=1000/803-peak+year_w.csv b/SurgeData/803-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/803-peak+year_w.csv rename to SurgeData/803-peak+year_w.csv diff --git a/SurgeData/N=1000/803-peak_c.csv b/SurgeData/803-peak_c.csv similarity index 100% rename from SurgeData/N=1000/803-peak_c.csv rename to SurgeData/803-peak_c.csv diff --git a/SurgeData/N=1000/803-peak_w.csv b/SurgeData/803-peak_w.csv similarity index 100% rename from SurgeData/N=1000/803-peak_w.csv rename to SurgeData/803-peak_w.csv diff --git a/SurgeData/N=1000/803-surge_c.csv b/SurgeData/803-surge_c.csv similarity index 100% rename from SurgeData/N=1000/803-surge_c.csv rename to SurgeData/803-surge_c.csv diff --git a/SurgeData/N=1000/803-surge_w.csv b/SurgeData/803-surge_w.csv similarity index 100% rename from SurgeData/N=1000/803-surge_w.csv rename to SurgeData/803-surge_w.csv diff --git a/SurgeData/N=1000/803-time_c.csv b/SurgeData/803-time_c.csv similarity index 100% rename from SurgeData/N=1000/803-time_c.csv rename to SurgeData/803-time_c.csv diff --git a/SurgeData/N=1000/803-time_w.csv b/SurgeData/803-time_w.csv similarity index 100% rename from SurgeData/N=1000/803-time_w.csv rename to SurgeData/803-time_w.csv diff --git a/SurgeData/N=1000/803-waterlevel_c.csv b/SurgeData/803-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/803-waterlevel_c.csv rename to SurgeData/803-waterlevel_c.csv diff --git a/SurgeData/N=1000/803-waterlevel_w.csv b/SurgeData/803-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/803-waterlevel_w.csv rename to SurgeData/803-waterlevel_w.csv diff --git a/SurgeData/804-num_storm.csv b/SurgeData/804-num_storm.csv new file mode 100644 index 00000000..d57dd8a7 --- /dev/null +++ b/SurgeData/804-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,3.0,4.0 +2022,0.0,5.0 +2023,3.0,4.0 +2024,2.0,2.0 +2025,2.0,4.0 +2026,0.0,2.0 +2027,0.0,2.0 +2028,2.0,6.0 +2029,1.0,4.0 +2030,1.0,2.0 +2031,3.0,4.0 +2032,1.0,8.0 +2033,1.0,5.0 +2034,1.0,7.0 +2035,1.0,9.0 +2036,0.0,1.0 +2037,1.0,4.0 +2038,2.0,4.0 +2039,1.0,3.0 +2040,1.0,2.0 +2041,3.0,3.0 +2042,1.0,5.0 +2043,0.0,5.0 +2044,3.0,8.0 +2045,4.0,2.0 +2046,0.0,8.0 +2047,1.0,4.0 +2048,0.0,5.0 +2049,1.0,0.0 +2050,1.0,8.0 +2051,2.0,5.0 +2052,1.0,5.0 +2053,2.0,3.0 +2054,1.0,2.0 +2055,1.0,6.0 +2056,0.0,4.0 +2057,1.0,2.0 +2058,1.0,6.0 +2059,2.0,4.0 +2060,0.0,6.0 +2061,1.0,3.0 +2062,2.0,5.0 +2063,4.0,6.0 +2064,0.0,6.0 +2065,2.0,3.0 +2066,0.0,7.0 +2067,0.0,3.0 +2068,2.0,1.0 +2069,0.0,1.0 +2070,2.0,6.0 +2071,0.0,3.0 +2072,1.0,4.0 +2073,1.0,4.0 +2074,2.0,5.0 +2075,2.0,5.0 +2076,0.0,1.0 +2077,2.0,3.0 +2078,1.0,3.0 +2079,1.0,1.0 +2080,1.0,4.0 +2081,1.0,2.0 +2082,0.0,2.0 +2083,0.0,3.0 +2084,0.0,5.0 +2085,3.0,3.0 +2086,3.0,4.0 +2087,2.0,6.0 +2088,5.0,3.0 +2089,0.0,4.0 +2090,4.0,6.0 +2091,2.0,4.0 +2092,3.0,8.0 +2093,2.0,2.0 +2094,1.0,4.0 +2095,2.0,3.0 +2096,1.0,4.0 +2097,1.0,2.0 +2098,0.0,8.0 +2099,4.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/804-peak+year_c.csv b/SurgeData/804-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/804-peak+year_c.csv rename to SurgeData/804-peak+year_c.csv diff --git a/SurgeData/N=1000/804-peak+year_w.csv b/SurgeData/804-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/804-peak+year_w.csv rename to SurgeData/804-peak+year_w.csv diff --git a/SurgeData/N=1000/804-peak_c.csv b/SurgeData/804-peak_c.csv similarity index 100% rename from SurgeData/N=1000/804-peak_c.csv rename to SurgeData/804-peak_c.csv diff --git a/SurgeData/N=1000/804-peak_w.csv b/SurgeData/804-peak_w.csv similarity index 100% rename from SurgeData/N=1000/804-peak_w.csv rename to SurgeData/804-peak_w.csv diff --git a/SurgeData/N=1000/804-surge_c.csv b/SurgeData/804-surge_c.csv similarity index 100% rename from SurgeData/N=1000/804-surge_c.csv rename to SurgeData/804-surge_c.csv diff --git a/SurgeData/N=1000/804-surge_w.csv b/SurgeData/804-surge_w.csv similarity index 100% rename from SurgeData/N=1000/804-surge_w.csv rename to SurgeData/804-surge_w.csv diff --git a/SurgeData/N=1000/804-time_c.csv b/SurgeData/804-time_c.csv similarity index 100% rename from SurgeData/N=1000/804-time_c.csv rename to SurgeData/804-time_c.csv diff --git a/SurgeData/N=1000/804-time_w.csv b/SurgeData/804-time_w.csv similarity index 100% rename from SurgeData/N=1000/804-time_w.csv rename to SurgeData/804-time_w.csv diff --git a/SurgeData/N=1000/804-waterlevel_c.csv b/SurgeData/804-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/804-waterlevel_c.csv rename to SurgeData/804-waterlevel_c.csv diff --git a/SurgeData/N=1000/804-waterlevel_w.csv b/SurgeData/804-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/804-waterlevel_w.csv rename to SurgeData/804-waterlevel_w.csv diff --git a/SurgeData/805-num_storm.csv b/SurgeData/805-num_storm.csv new file mode 100644 index 00000000..dcd0fcd0 --- /dev/null +++ b/SurgeData/805-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,6.0 +2022,2.0,8.0 +2023,2.0,6.0 +2024,1.0,2.0 +2025,0.0,2.0 +2026,1.0,7.0 +2027,1.0,5.0 +2028,0.0,3.0 +2029,2.0,2.0 +2030,1.0,7.0 +2031,2.0,3.0 +2032,5.0,7.0 +2033,1.0,3.0 +2034,0.0,6.0 +2035,2.0,9.0 +2036,2.0,8.0 +2037,0.0,1.0 +2038,2.0,6.0 +2039,2.0,1.0 +2040,1.0,4.0 +2041,3.0,5.0 +2042,0.0,3.0 +2043,1.0,3.0 +2044,2.0,4.0 +2045,0.0,7.0 +2046,3.0,5.0 +2047,3.0,2.0 +2048,1.0,2.0 +2049,2.0,4.0 +2050,3.0,1.0 +2051,3.0,8.0 +2052,0.0,2.0 +2053,2.0,8.0 +2054,0.0,10.0 +2055,2.0,5.0 +2056,1.0,5.0 +2057,1.0,3.0 +2058,1.0,5.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,2.0,5.0 +2062,1.0,6.0 +2063,0.0,2.0 +2064,3.0,5.0 +2065,1.0,2.0 +2066,1.0,3.0 +2067,4.0,4.0 +2068,1.0,3.0 +2069,0.0,4.0 +2070,1.0,3.0 +2071,1.0,5.0 +2072,3.0,6.0 +2073,1.0,1.0 +2074,2.0,5.0 +2075,1.0,5.0 +2076,3.0,6.0 +2077,1.0,6.0 +2078,2.0,9.0 +2079,0.0,6.0 +2080,2.0,4.0 +2081,3.0,4.0 +2082,2.0,4.0 +2083,0.0,2.0 +2084,2.0,3.0 +2085,0.0,6.0 +2086,1.0,6.0 +2087,1.0,4.0 +2088,2.0,1.0 +2089,0.0,4.0 +2090,4.0,5.0 +2091,1.0,4.0 +2092,4.0,5.0 +2093,1.0,5.0 +2094,2.0,5.0 +2095,3.0,1.0 +2096,1.0,3.0 +2097,1.0,8.0 +2098,2.0,5.0 +2099,2.0,5.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/805-peak+year_c.csv b/SurgeData/805-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/805-peak+year_c.csv rename to SurgeData/805-peak+year_c.csv diff --git a/SurgeData/N=1000/805-peak+year_w.csv b/SurgeData/805-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/805-peak+year_w.csv rename to SurgeData/805-peak+year_w.csv diff --git a/SurgeData/N=1000/805-peak_c.csv b/SurgeData/805-peak_c.csv similarity index 100% rename from SurgeData/N=1000/805-peak_c.csv rename to SurgeData/805-peak_c.csv diff --git a/SurgeData/N=1000/805-peak_w.csv b/SurgeData/805-peak_w.csv similarity index 100% rename from SurgeData/N=1000/805-peak_w.csv rename to SurgeData/805-peak_w.csv diff --git a/SurgeData/N=1000/805-surge_c.csv b/SurgeData/805-surge_c.csv similarity index 100% rename from SurgeData/N=1000/805-surge_c.csv rename to SurgeData/805-surge_c.csv diff --git a/SurgeData/N=1000/805-surge_w.csv b/SurgeData/805-surge_w.csv similarity index 100% rename from SurgeData/N=1000/805-surge_w.csv rename to SurgeData/805-surge_w.csv diff --git a/SurgeData/N=1000/805-time_c.csv b/SurgeData/805-time_c.csv similarity index 100% rename from SurgeData/N=1000/805-time_c.csv rename to SurgeData/805-time_c.csv diff --git a/SurgeData/N=1000/805-time_w.csv b/SurgeData/805-time_w.csv similarity index 100% rename from SurgeData/N=1000/805-time_w.csv rename to SurgeData/805-time_w.csv diff --git a/SurgeData/N=1000/805-waterlevel_c.csv b/SurgeData/805-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/805-waterlevel_c.csv rename to SurgeData/805-waterlevel_c.csv diff --git a/SurgeData/N=1000/805-waterlevel_w.csv b/SurgeData/805-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/805-waterlevel_w.csv rename to SurgeData/805-waterlevel_w.csv diff --git a/SurgeData/806-num_storm.csv b/SurgeData/806-num_storm.csv new file mode 100644 index 00000000..62012edd --- /dev/null +++ b/SurgeData/806-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,4.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,3.0,3.0 +2025,1.0,2.0 +2026,0.0,2.0 +2027,2.0,5.0 +2028,1.0,6.0 +2029,0.0,3.0 +2030,1.0,3.0 +2031,2.0,3.0 +2032,1.0,5.0 +2033,2.0,4.0 +2034,0.0,3.0 +2035,2.0,4.0 +2036,0.0,4.0 +2037,0.0,2.0 +2038,3.0,4.0 +2039,0.0,4.0 +2040,1.0,5.0 +2041,3.0,4.0 +2042,1.0,1.0 +2043,3.0,3.0 +2044,0.0,3.0 +2045,1.0,2.0 +2046,0.0,1.0 +2047,1.0,2.0 +2048,3.0,4.0 +2049,1.0,4.0 +2050,1.0,3.0 +2051,2.0,0.0 +2052,1.0,3.0 +2053,1.0,9.0 +2054,3.0,5.0 +2055,3.0,2.0 +2056,3.0,2.0 +2057,2.0,1.0 +2058,1.0,3.0 +2059,2.0,3.0 +2060,2.0,4.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,1.0,3.0 +2065,0.0,0.0 +2066,0.0,2.0 +2067,3.0,4.0 +2068,1.0,4.0 +2069,3.0,7.0 +2070,2.0,4.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,0.0,4.0 +2074,2.0,1.0 +2075,2.0,5.0 +2076,2.0,1.0 +2077,3.0,4.0 +2078,0.0,3.0 +2079,1.0,6.0 +2080,3.0,3.0 +2081,3.0,4.0 +2082,1.0,3.0 +2083,3.0,4.0 +2084,2.0,7.0 +2085,2.0,4.0 +2086,0.0,3.0 +2087,2.0,10.0 +2088,3.0,2.0 +2089,3.0,5.0 +2090,3.0,4.0 +2091,1.0,4.0 +2092,2.0,2.0 +2093,3.0,3.0 +2094,1.0,5.0 +2095,1.0,10.0 +2096,1.0,1.0 +2097,2.0,3.0 +2098,2.0,5.0 +2099,0.0,7.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/806-peak+year_c.csv b/SurgeData/806-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/806-peak+year_c.csv rename to SurgeData/806-peak+year_c.csv diff --git a/SurgeData/N=1000/806-peak+year_w.csv b/SurgeData/806-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/806-peak+year_w.csv rename to SurgeData/806-peak+year_w.csv diff --git a/SurgeData/N=1000/806-peak_c.csv b/SurgeData/806-peak_c.csv similarity index 100% rename from SurgeData/N=1000/806-peak_c.csv rename to SurgeData/806-peak_c.csv diff --git a/SurgeData/N=1000/806-peak_w.csv b/SurgeData/806-peak_w.csv similarity index 100% rename from SurgeData/N=1000/806-peak_w.csv rename to SurgeData/806-peak_w.csv diff --git a/SurgeData/N=1000/806-surge_c.csv b/SurgeData/806-surge_c.csv similarity index 100% rename from SurgeData/N=1000/806-surge_c.csv rename to SurgeData/806-surge_c.csv diff --git a/SurgeData/N=1000/806-surge_w.csv b/SurgeData/806-surge_w.csv similarity index 100% rename from SurgeData/N=1000/806-surge_w.csv rename to SurgeData/806-surge_w.csv diff --git a/SurgeData/N=1000/806-time_c.csv b/SurgeData/806-time_c.csv similarity index 100% rename from SurgeData/N=1000/806-time_c.csv rename to SurgeData/806-time_c.csv diff --git a/SurgeData/N=1000/806-time_w.csv b/SurgeData/806-time_w.csv similarity index 100% rename from SurgeData/N=1000/806-time_w.csv rename to SurgeData/806-time_w.csv diff --git a/SurgeData/N=1000/806-waterlevel_c.csv b/SurgeData/806-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/806-waterlevel_c.csv rename to SurgeData/806-waterlevel_c.csv diff --git a/SurgeData/N=1000/806-waterlevel_w.csv b/SurgeData/806-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/806-waterlevel_w.csv rename to SurgeData/806-waterlevel_w.csv diff --git a/SurgeData/807-num_storm.csv b/SurgeData/807-num_storm.csv new file mode 100644 index 00000000..28caeec1 --- /dev/null +++ b/SurgeData/807-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,6.0 +2022,0.0,3.0 +2023,1.0,6.0 +2024,2.0,2.0 +2025,2.0,5.0 +2026,3.0,3.0 +2027,1.0,1.0 +2028,1.0,5.0 +2029,2.0,4.0 +2030,3.0,6.0 +2031,1.0,5.0 +2032,1.0,3.0 +2033,0.0,2.0 +2034,1.0,5.0 +2035,1.0,6.0 +2036,0.0,5.0 +2037,0.0,4.0 +2038,1.0,2.0 +2039,4.0,6.0 +2040,5.0,4.0 +2041,0.0,2.0 +2042,0.0,7.0 +2043,5.0,4.0 +2044,5.0,3.0 +2045,1.0,2.0 +2046,6.0,4.0 +2047,0.0,7.0 +2048,0.0,4.0 +2049,1.0,3.0 +2050,1.0,8.0 +2051,2.0,3.0 +2052,2.0,6.0 +2053,2.0,4.0 +2054,0.0,7.0 +2055,1.0,6.0 +2056,4.0,2.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,0.0,0.0 +2060,0.0,0.0 +2061,2.0,1.0 +2062,2.0,3.0 +2063,1.0,2.0 +2064,3.0,2.0 +2065,0.0,5.0 +2066,1.0,9.0 +2067,0.0,8.0 +2068,2.0,3.0 +2069,3.0,3.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,3.0,6.0 +2073,0.0,3.0 +2074,3.0,6.0 +2075,2.0,3.0 +2076,3.0,7.0 +2077,2.0,8.0 +2078,3.0,3.0 +2079,1.0,4.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,3.0,9.0 +2083,0.0,9.0 +2084,0.0,5.0 +2085,1.0,4.0 +2086,3.0,7.0 +2087,0.0,8.0 +2088,2.0,3.0 +2089,0.0,2.0 +2090,1.0,5.0 +2091,2.0,7.0 +2092,2.0,4.0 +2093,1.0,1.0 +2094,4.0,2.0 +2095,0.0,5.0 +2096,0.0,4.0 +2097,3.0,6.0 +2098,1.0,3.0 +2099,2.0,5.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/807-peak+year_c.csv b/SurgeData/807-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/807-peak+year_c.csv rename to SurgeData/807-peak+year_c.csv diff --git a/SurgeData/N=1000/807-peak+year_w.csv b/SurgeData/807-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/807-peak+year_w.csv rename to SurgeData/807-peak+year_w.csv diff --git a/SurgeData/N=1000/807-peak_c.csv b/SurgeData/807-peak_c.csv similarity index 100% rename from SurgeData/N=1000/807-peak_c.csv rename to SurgeData/807-peak_c.csv diff --git a/SurgeData/N=1000/807-peak_w.csv b/SurgeData/807-peak_w.csv similarity index 100% rename from SurgeData/N=1000/807-peak_w.csv rename to SurgeData/807-peak_w.csv diff --git a/SurgeData/N=1000/807-surge_c.csv b/SurgeData/807-surge_c.csv similarity index 100% rename from SurgeData/N=1000/807-surge_c.csv rename to SurgeData/807-surge_c.csv diff --git a/SurgeData/N=1000/807-surge_w.csv b/SurgeData/807-surge_w.csv similarity index 100% rename from SurgeData/N=1000/807-surge_w.csv rename to SurgeData/807-surge_w.csv diff --git a/SurgeData/N=1000/807-time_c.csv b/SurgeData/807-time_c.csv similarity index 100% rename from SurgeData/N=1000/807-time_c.csv rename to SurgeData/807-time_c.csv diff --git a/SurgeData/N=1000/807-time_w.csv b/SurgeData/807-time_w.csv similarity index 100% rename from SurgeData/N=1000/807-time_w.csv rename to SurgeData/807-time_w.csv diff --git a/SurgeData/N=1000/807-waterlevel_c.csv b/SurgeData/807-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/807-waterlevel_c.csv rename to SurgeData/807-waterlevel_c.csv diff --git a/SurgeData/N=1000/807-waterlevel_w.csv b/SurgeData/807-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/807-waterlevel_w.csv rename to SurgeData/807-waterlevel_w.csv diff --git a/SurgeData/N=1000/808-peak+year_c.csv b/SurgeData/808-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/808-peak+year_c.csv rename to SurgeData/808-peak+year_c.csv diff --git a/SurgeData/N=1000/808-peak+year_w.csv b/SurgeData/808-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/808-peak+year_w.csv rename to SurgeData/808-peak+year_w.csv diff --git a/SurgeData/N=1000/808-peak_c.csv b/SurgeData/808-peak_c.csv similarity index 100% rename from SurgeData/N=1000/808-peak_c.csv rename to SurgeData/808-peak_c.csv diff --git a/SurgeData/N=1000/808-peak_w.csv b/SurgeData/808-peak_w.csv similarity index 100% rename from SurgeData/N=1000/808-peak_w.csv rename to SurgeData/808-peak_w.csv diff --git a/SurgeData/N=1000/808-surge_c.csv b/SurgeData/808-surge_c.csv similarity index 100% rename from SurgeData/N=1000/808-surge_c.csv rename to SurgeData/808-surge_c.csv diff --git a/SurgeData/N=1000/808-surge_w.csv b/SurgeData/808-surge_w.csv similarity index 100% rename from SurgeData/N=1000/808-surge_w.csv rename to SurgeData/808-surge_w.csv diff --git a/SurgeData/N=1000/808-time_c.csv b/SurgeData/808-time_c.csv similarity index 100% rename from SurgeData/N=1000/808-time_c.csv rename to SurgeData/808-time_c.csv diff --git a/SurgeData/N=1000/808-time_w.csv b/SurgeData/808-time_w.csv similarity index 100% rename from SurgeData/N=1000/808-time_w.csv rename to SurgeData/808-time_w.csv diff --git a/SurgeData/N=1000/808-waterlevel_c.csv b/SurgeData/808-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/808-waterlevel_c.csv rename to SurgeData/808-waterlevel_c.csv diff --git a/SurgeData/N=1000/808-waterlevel_w.csv b/SurgeData/808-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/808-waterlevel_w.csv rename to SurgeData/808-waterlevel_w.csv diff --git a/SurgeData/809-num_storm.csv b/SurgeData/809-num_storm.csv new file mode 100644 index 00000000..82746b38 --- /dev/null +++ b/SurgeData/809-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,1.0 +2022,1.0,7.0 +2023,2.0,2.0 +2024,1.0,4.0 +2025,2.0,4.0 +2026,2.0,3.0 +2027,2.0,7.0 +2028,2.0,3.0 +2029,3.0,5.0 +2030,1.0,5.0 +2031,2.0,3.0 +2032,3.0,5.0 +2033,2.0,5.0 +2034,1.0,5.0 +2035,1.0,1.0 +2036,0.0,5.0 +2037,1.0,5.0 +2038,2.0,5.0 +2039,0.0,2.0 +2040,1.0,5.0 +2041,1.0,3.0 +2042,2.0,5.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,1.0,2.0 +2046,1.0,5.0 +2047,3.0,5.0 +2048,2.0,7.0 +2049,2.0,5.0 +2050,3.0,6.0 +2051,3.0,4.0 +2052,2.0,6.0 +2053,1.0,3.0 +2054,1.0,7.0 +2055,1.0,3.0 +2056,4.0,2.0 +2057,2.0,2.0 +2058,3.0,7.0 +2059,0.0,2.0 +2060,1.0,5.0 +2061,1.0,4.0 +2062,2.0,6.0 +2063,0.0,4.0 +2064,2.0,2.0 +2065,1.0,3.0 +2066,3.0,4.0 +2067,1.0,6.0 +2068,0.0,4.0 +2069,2.0,4.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,3.0,4.0 +2073,5.0,3.0 +2074,1.0,4.0 +2075,2.0,3.0 +2076,2.0,5.0 +2077,1.0,4.0 +2078,4.0,4.0 +2079,2.0,7.0 +2080,1.0,2.0 +2081,1.0,4.0 +2082,0.0,3.0 +2083,1.0,3.0 +2084,0.0,5.0 +2085,0.0,2.0 +2086,2.0,3.0 +2087,2.0,2.0 +2088,1.0,7.0 +2089,0.0,6.0 +2090,2.0,4.0 +2091,3.0,4.0 +2092,2.0,3.0 +2093,3.0,8.0 +2094,3.0,6.0 +2095,1.0,2.0 +2096,1.0,14.0 +2097,2.0,6.0 +2098,2.0,4.0 +2099,1.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/809-peak+year_c.csv b/SurgeData/809-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/809-peak+year_c.csv rename to SurgeData/809-peak+year_c.csv diff --git a/SurgeData/N=1000/809-peak+year_w.csv b/SurgeData/809-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/809-peak+year_w.csv rename to SurgeData/809-peak+year_w.csv diff --git a/SurgeData/N=1000/809-peak_c.csv b/SurgeData/809-peak_c.csv similarity index 100% rename from SurgeData/N=1000/809-peak_c.csv rename to SurgeData/809-peak_c.csv diff --git a/SurgeData/N=1000/809-peak_w.csv b/SurgeData/809-peak_w.csv similarity index 100% rename from SurgeData/N=1000/809-peak_w.csv rename to SurgeData/809-peak_w.csv diff --git a/SurgeData/N=1000/809-surge_c.csv b/SurgeData/809-surge_c.csv similarity index 100% rename from SurgeData/N=1000/809-surge_c.csv rename to SurgeData/809-surge_c.csv diff --git a/SurgeData/N=1000/809-surge_w.csv b/SurgeData/809-surge_w.csv similarity index 100% rename from SurgeData/N=1000/809-surge_w.csv rename to SurgeData/809-surge_w.csv diff --git a/SurgeData/N=1000/809-time_c.csv b/SurgeData/809-time_c.csv similarity index 100% rename from SurgeData/N=1000/809-time_c.csv rename to SurgeData/809-time_c.csv diff --git a/SurgeData/N=1000/809-time_w.csv b/SurgeData/809-time_w.csv similarity index 100% rename from SurgeData/N=1000/809-time_w.csv rename to SurgeData/809-time_w.csv diff --git a/SurgeData/N=1000/809-waterlevel_c.csv b/SurgeData/809-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/809-waterlevel_c.csv rename to SurgeData/809-waterlevel_c.csv diff --git a/SurgeData/N=1000/809-waterlevel_w.csv b/SurgeData/809-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/809-waterlevel_w.csv rename to SurgeData/809-waterlevel_w.csv diff --git a/SurgeData/81-num_storm.csv b/SurgeData/81-num_storm.csv new file mode 100644 index 00000000..623bac70 --- /dev/null +++ b/SurgeData/81-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,0.0,6.0 +2022,3.0,2.0 +2023,1.0,4.0 +2024,1.0,3.0 +2025,1.0,6.0 +2026,1.0,6.0 +2027,0.0,3.0 +2028,0.0,0.0 +2029,3.0,2.0 +2030,2.0,2.0 +2031,1.0,2.0 +2032,0.0,3.0 +2033,2.0,8.0 +2034,1.0,4.0 +2035,1.0,6.0 +2036,1.0,5.0 +2037,3.0,3.0 +2038,1.0,6.0 +2039,2.0,3.0 +2040,3.0,0.0 +2041,1.0,7.0 +2042,0.0,5.0 +2043,4.0,5.0 +2044,1.0,4.0 +2045,1.0,3.0 +2046,1.0,2.0 +2047,3.0,6.0 +2048,2.0,4.0 +2049,4.0,4.0 +2050,4.0,2.0 +2051,4.0,4.0 +2052,2.0,4.0 +2053,1.0,4.0 +2054,3.0,2.0 +2055,1.0,3.0 +2056,2.0,4.0 +2057,1.0,5.0 +2058,3.0,7.0 +2059,1.0,7.0 +2060,2.0,4.0 +2061,3.0,3.0 +2062,2.0,4.0 +2063,1.0,7.0 +2064,1.0,3.0 +2065,1.0,7.0 +2066,3.0,3.0 +2067,0.0,6.0 +2068,0.0,8.0 +2069,4.0,5.0 +2070,1.0,2.0 +2071,4.0,3.0 +2072,6.0,5.0 +2073,2.0,5.0 +2074,3.0,8.0 +2075,1.0,5.0 +2076,1.0,3.0 +2077,4.0,5.0 +2078,2.0,5.0 +2079,2.0,6.0 +2080,1.0,7.0 +2081,1.0,3.0 +2082,0.0,4.0 +2083,0.0,9.0 +2084,0.0,1.0 +2085,0.0,7.0 +2086,2.0,2.0 +2087,1.0,0.0 +2088,1.0,3.0 +2089,0.0,6.0 +2090,2.0,3.0 +2091,5.0,5.0 +2092,1.0,4.0 +2093,2.0,1.0 +2094,2.0,7.0 +2095,2.0,0.0 +2096,0.0,5.0 +2097,2.0,4.0 +2098,1.0,6.0 +2099,0.0,6.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/81-peak+year_c.csv b/SurgeData/81-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/81-peak+year_c.csv rename to SurgeData/81-peak+year_c.csv diff --git a/SurgeData/N=1000/81-peak+year_w.csv b/SurgeData/81-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/81-peak+year_w.csv rename to SurgeData/81-peak+year_w.csv diff --git a/SurgeData/N=1000/81-peak_c.csv b/SurgeData/81-peak_c.csv similarity index 100% rename from SurgeData/N=1000/81-peak_c.csv rename to SurgeData/81-peak_c.csv diff --git a/SurgeData/N=1000/81-peak_w.csv b/SurgeData/81-peak_w.csv similarity index 100% rename from SurgeData/N=1000/81-peak_w.csv rename to SurgeData/81-peak_w.csv diff --git a/SurgeData/N=1000/81-surge_c.csv b/SurgeData/81-surge_c.csv similarity index 100% rename from SurgeData/N=1000/81-surge_c.csv rename to SurgeData/81-surge_c.csv diff --git a/SurgeData/N=1000/81-surge_w.csv b/SurgeData/81-surge_w.csv similarity index 100% rename from SurgeData/N=1000/81-surge_w.csv rename to SurgeData/81-surge_w.csv diff --git a/SurgeData/N=1000/81-time_c.csv b/SurgeData/81-time_c.csv similarity index 100% rename from SurgeData/N=1000/81-time_c.csv rename to SurgeData/81-time_c.csv diff --git a/SurgeData/N=1000/81-time_w.csv b/SurgeData/81-time_w.csv similarity index 100% rename from SurgeData/N=1000/81-time_w.csv rename to SurgeData/81-time_w.csv diff --git a/SurgeData/N=1000/81-waterlevel_c.csv b/SurgeData/81-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/81-waterlevel_c.csv rename to SurgeData/81-waterlevel_c.csv diff --git a/SurgeData/N=1000/81-waterlevel_w.csv b/SurgeData/81-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/81-waterlevel_w.csv rename to SurgeData/81-waterlevel_w.csv diff --git a/SurgeData/810-num_storm.csv b/SurgeData/810-num_storm.csv new file mode 100644 index 00000000..9e50d24f --- /dev/null +++ b/SurgeData/810-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,2.0 +2022,0.0,4.0 +2023,1.0,7.0 +2024,2.0,3.0 +2025,1.0,4.0 +2026,4.0,4.0 +2027,2.0,5.0 +2028,5.0,2.0 +2029,3.0,2.0 +2030,1.0,3.0 +2031,0.0,4.0 +2032,3.0,4.0 +2033,0.0,4.0 +2034,0.0,5.0 +2035,2.0,7.0 +2036,1.0,3.0 +2037,1.0,2.0 +2038,2.0,2.0 +2039,1.0,5.0 +2040,0.0,3.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,0.0,5.0 +2044,1.0,3.0 +2045,2.0,7.0 +2046,3.0,3.0 +2047,1.0,2.0 +2048,2.0,1.0 +2049,0.0,2.0 +2050,2.0,2.0 +2051,3.0,2.0 +2052,4.0,6.0 +2053,1.0,4.0 +2054,3.0,7.0 +2055,0.0,7.0 +2056,3.0,4.0 +2057,0.0,5.0 +2058,1.0,7.0 +2059,0.0,2.0 +2060,1.0,3.0 +2061,1.0,6.0 +2062,0.0,5.0 +2063,1.0,2.0 +2064,1.0,8.0 +2065,2.0,3.0 +2066,3.0,2.0 +2067,0.0,4.0 +2068,0.0,5.0 +2069,1.0,2.0 +2070,2.0,4.0 +2071,0.0,4.0 +2072,2.0,3.0 +2073,3.0,2.0 +2074,2.0,5.0 +2075,3.0,4.0 +2076,4.0,2.0 +2077,2.0,6.0 +2078,0.0,6.0 +2079,2.0,3.0 +2080,1.0,7.0 +2081,1.0,3.0 +2082,0.0,5.0 +2083,1.0,5.0 +2084,0.0,5.0 +2085,3.0,2.0 +2086,1.0,2.0 +2087,2.0,0.0 +2088,2.0,4.0 +2089,0.0,8.0 +2090,1.0,6.0 +2091,2.0,3.0 +2092,2.0,1.0 +2093,1.0,1.0 +2094,1.0,1.0 +2095,1.0,5.0 +2096,0.0,8.0 +2097,1.0,0.0 +2098,2.0,2.0 +2099,3.0,2.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/810-peak+year_c.csv b/SurgeData/810-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/810-peak+year_c.csv rename to SurgeData/810-peak+year_c.csv diff --git a/SurgeData/N=1000/810-peak+year_w.csv b/SurgeData/810-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/810-peak+year_w.csv rename to SurgeData/810-peak+year_w.csv diff --git a/SurgeData/N=1000/810-peak_c.csv b/SurgeData/810-peak_c.csv similarity index 100% rename from SurgeData/N=1000/810-peak_c.csv rename to SurgeData/810-peak_c.csv diff --git a/SurgeData/N=1000/810-peak_w.csv b/SurgeData/810-peak_w.csv similarity index 100% rename from SurgeData/N=1000/810-peak_w.csv rename to SurgeData/810-peak_w.csv diff --git a/SurgeData/N=1000/810-surge_c.csv b/SurgeData/810-surge_c.csv similarity index 100% rename from SurgeData/N=1000/810-surge_c.csv rename to SurgeData/810-surge_c.csv diff --git a/SurgeData/N=1000/810-surge_w.csv b/SurgeData/810-surge_w.csv similarity index 100% rename from SurgeData/N=1000/810-surge_w.csv rename to SurgeData/810-surge_w.csv diff --git a/SurgeData/N=1000/810-time_c.csv b/SurgeData/810-time_c.csv similarity index 100% rename from SurgeData/N=1000/810-time_c.csv rename to SurgeData/810-time_c.csv diff --git a/SurgeData/N=1000/810-time_w.csv b/SurgeData/810-time_w.csv similarity index 100% rename from SurgeData/N=1000/810-time_w.csv rename to SurgeData/810-time_w.csv diff --git a/SurgeData/N=1000/810-waterlevel_c.csv b/SurgeData/810-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/810-waterlevel_c.csv rename to SurgeData/810-waterlevel_c.csv diff --git a/SurgeData/N=1000/810-waterlevel_w.csv b/SurgeData/810-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/810-waterlevel_w.csv rename to SurgeData/810-waterlevel_w.csv diff --git a/SurgeData/811-num_storm.csv b/SurgeData/811-num_storm.csv new file mode 100644 index 00000000..c763d170 --- /dev/null +++ b/SurgeData/811-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,4.0 +2021,3.0,1.0 +2022,3.0,1.0 +2023,2.0,6.0 +2024,1.0,4.0 +2025,3.0,8.0 +2026,1.0,4.0 +2027,0.0,4.0 +2028,1.0,5.0 +2029,3.0,5.0 +2030,2.0,6.0 +2031,0.0,3.0 +2032,3.0,4.0 +2033,1.0,9.0 +2034,0.0,4.0 +2035,0.0,4.0 +2036,1.0,3.0 +2037,1.0,3.0 +2038,2.0,5.0 +2039,3.0,7.0 +2040,1.0,5.0 +2041,2.0,2.0 +2042,0.0,2.0 +2043,0.0,9.0 +2044,1.0,2.0 +2045,1.0,5.0 +2046,2.0,3.0 +2047,1.0,6.0 +2048,1.0,5.0 +2049,3.0,5.0 +2050,0.0,4.0 +2051,0.0,6.0 +2052,2.0,2.0 +2053,3.0,5.0 +2054,2.0,3.0 +2055,2.0,3.0 +2056,1.0,2.0 +2057,2.0,5.0 +2058,0.0,5.0 +2059,0.0,2.0 +2060,2.0,5.0 +2061,1.0,5.0 +2062,2.0,5.0 +2063,1.0,9.0 +2064,0.0,1.0 +2065,0.0,4.0 +2066,5.0,9.0 +2067,2.0,3.0 +2068,0.0,2.0 +2069,2.0,3.0 +2070,3.0,3.0 +2071,1.0,3.0 +2072,0.0,5.0 +2073,3.0,8.0 +2074,0.0,3.0 +2075,1.0,6.0 +2076,2.0,4.0 +2077,2.0,5.0 +2078,2.0,6.0 +2079,1.0,1.0 +2080,3.0,5.0 +2081,2.0,3.0 +2082,3.0,9.0 +2083,0.0,5.0 +2084,0.0,4.0 +2085,0.0,4.0 +2086,0.0,5.0 +2087,2.0,2.0 +2088,1.0,7.0 +2089,0.0,9.0 +2090,2.0,1.0 +2091,0.0,7.0 +2092,2.0,4.0 +2093,1.0,6.0 +2094,1.0,2.0 +2095,1.0,6.0 +2096,2.0,6.0 +2097,0.0,0.0 +2098,2.0,5.0 +2099,0.0,6.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/811-peak+year_c.csv b/SurgeData/811-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/811-peak+year_c.csv rename to SurgeData/811-peak+year_c.csv diff --git a/SurgeData/N=1000/811-peak+year_w.csv b/SurgeData/811-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/811-peak+year_w.csv rename to SurgeData/811-peak+year_w.csv diff --git a/SurgeData/N=1000/811-peak_c.csv b/SurgeData/811-peak_c.csv similarity index 100% rename from SurgeData/N=1000/811-peak_c.csv rename to SurgeData/811-peak_c.csv diff --git a/SurgeData/N=1000/811-peak_w.csv b/SurgeData/811-peak_w.csv similarity index 100% rename from SurgeData/N=1000/811-peak_w.csv rename to SurgeData/811-peak_w.csv diff --git a/SurgeData/N=1000/811-surge_c.csv b/SurgeData/811-surge_c.csv similarity index 100% rename from SurgeData/N=1000/811-surge_c.csv rename to SurgeData/811-surge_c.csv diff --git a/SurgeData/N=1000/811-surge_w.csv b/SurgeData/811-surge_w.csv similarity index 100% rename from SurgeData/N=1000/811-surge_w.csv rename to SurgeData/811-surge_w.csv diff --git a/SurgeData/N=1000/811-time_c.csv b/SurgeData/811-time_c.csv similarity index 100% rename from SurgeData/N=1000/811-time_c.csv rename to SurgeData/811-time_c.csv diff --git a/SurgeData/N=1000/811-time_w.csv b/SurgeData/811-time_w.csv similarity index 100% rename from SurgeData/N=1000/811-time_w.csv rename to SurgeData/811-time_w.csv diff --git a/SurgeData/N=1000/811-waterlevel_c.csv b/SurgeData/811-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/811-waterlevel_c.csv rename to SurgeData/811-waterlevel_c.csv diff --git a/SurgeData/N=1000/811-waterlevel_w.csv b/SurgeData/811-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/811-waterlevel_w.csv rename to SurgeData/811-waterlevel_w.csv diff --git a/SurgeData/812-num_storm.csv b/SurgeData/812-num_storm.csv new file mode 100644 index 00000000..d687f805 --- /dev/null +++ b/SurgeData/812-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,0.0,1.0 +2022,2.0,6.0 +2023,2.0,4.0 +2024,4.0,6.0 +2025,1.0,7.0 +2026,1.0,4.0 +2027,1.0,5.0 +2028,0.0,4.0 +2029,2.0,1.0 +2030,0.0,5.0 +2031,0.0,8.0 +2032,2.0,3.0 +2033,4.0,4.0 +2034,3.0,3.0 +2035,1.0,4.0 +2036,1.0,2.0 +2037,3.0,5.0 +2038,0.0,4.0 +2039,4.0,2.0 +2040,1.0,10.0 +2041,1.0,5.0 +2042,0.0,2.0 +2043,3.0,3.0 +2044,1.0,5.0 +2045,0.0,4.0 +2046,2.0,8.0 +2047,3.0,3.0 +2048,4.0,6.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,2.0,5.0 +2052,0.0,5.0 +2053,1.0,4.0 +2054,2.0,4.0 +2055,2.0,4.0 +2056,2.0,7.0 +2057,2.0,3.0 +2058,0.0,4.0 +2059,1.0,5.0 +2060,2.0,3.0 +2061,3.0,7.0 +2062,1.0,4.0 +2063,4.0,2.0 +2064,1.0,9.0 +2065,1.0,6.0 +2066,1.0,7.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,1.0,4.0 +2070,2.0,7.0 +2071,0.0,5.0 +2072,2.0,5.0 +2073,2.0,1.0 +2074,1.0,4.0 +2075,3.0,2.0 +2076,3.0,5.0 +2077,0.0,8.0 +2078,1.0,4.0 +2079,2.0,2.0 +2080,1.0,4.0 +2081,2.0,6.0 +2082,3.0,4.0 +2083,5.0,2.0 +2084,1.0,3.0 +2085,0.0,3.0 +2086,2.0,4.0 +2087,1.0,3.0 +2088,2.0,2.0 +2089,2.0,3.0 +2090,2.0,4.0 +2091,0.0,3.0 +2092,2.0,4.0 +2093,1.0,5.0 +2094,1.0,3.0 +2095,0.0,1.0 +2096,3.0,3.0 +2097,2.0,4.0 +2098,3.0,3.0 +2099,0.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/812-peak+year_c.csv b/SurgeData/812-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/812-peak+year_c.csv rename to SurgeData/812-peak+year_c.csv diff --git a/SurgeData/N=1000/812-peak+year_w.csv b/SurgeData/812-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/812-peak+year_w.csv rename to SurgeData/812-peak+year_w.csv diff --git a/SurgeData/N=1000/812-peak_c.csv b/SurgeData/812-peak_c.csv similarity index 100% rename from SurgeData/N=1000/812-peak_c.csv rename to SurgeData/812-peak_c.csv diff --git a/SurgeData/N=1000/812-peak_w.csv b/SurgeData/812-peak_w.csv similarity index 100% rename from SurgeData/N=1000/812-peak_w.csv rename to SurgeData/812-peak_w.csv diff --git a/SurgeData/N=1000/812-surge_c.csv b/SurgeData/812-surge_c.csv similarity index 100% rename from SurgeData/N=1000/812-surge_c.csv rename to SurgeData/812-surge_c.csv diff --git a/SurgeData/N=1000/812-surge_w.csv b/SurgeData/812-surge_w.csv similarity index 100% rename from SurgeData/N=1000/812-surge_w.csv rename to SurgeData/812-surge_w.csv diff --git a/SurgeData/N=1000/812-time_c.csv b/SurgeData/812-time_c.csv similarity index 100% rename from SurgeData/N=1000/812-time_c.csv rename to SurgeData/812-time_c.csv diff --git a/SurgeData/N=1000/812-time_w.csv b/SurgeData/812-time_w.csv similarity index 100% rename from SurgeData/N=1000/812-time_w.csv rename to SurgeData/812-time_w.csv diff --git a/SurgeData/N=1000/812-waterlevel_c.csv b/SurgeData/812-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/812-waterlevel_c.csv rename to SurgeData/812-waterlevel_c.csv diff --git a/SurgeData/N=1000/812-waterlevel_w.csv b/SurgeData/812-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/812-waterlevel_w.csv rename to SurgeData/812-waterlevel_w.csv diff --git a/SurgeData/813-num_storm.csv b/SurgeData/813-num_storm.csv new file mode 100644 index 00000000..e230f97d --- /dev/null +++ b/SurgeData/813-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,7.0 +2022,2.0,4.0 +2023,0.0,5.0 +2024,1.0,3.0 +2025,2.0,3.0 +2026,4.0,2.0 +2027,1.0,3.0 +2028,2.0,3.0 +2029,1.0,4.0 +2030,5.0,6.0 +2031,0.0,4.0 +2032,1.0,2.0 +2033,1.0,3.0 +2034,2.0,4.0 +2035,1.0,1.0 +2036,0.0,3.0 +2037,1.0,1.0 +2038,3.0,2.0 +2039,3.0,10.0 +2040,0.0,7.0 +2041,2.0,4.0 +2042,0.0,6.0 +2043,2.0,2.0 +2044,1.0,3.0 +2045,2.0,9.0 +2046,2.0,2.0 +2047,1.0,3.0 +2048,2.0,3.0 +2049,0.0,2.0 +2050,1.0,5.0 +2051,0.0,4.0 +2052,3.0,4.0 +2053,2.0,3.0 +2054,1.0,3.0 +2055,0.0,3.0 +2056,3.0,2.0 +2057,1.0,3.0 +2058,1.0,7.0 +2059,1.0,3.0 +2060,1.0,9.0 +2061,1.0,6.0 +2062,0.0,6.0 +2063,1.0,3.0 +2064,4.0,4.0 +2065,3.0,5.0 +2066,3.0,3.0 +2067,2.0,5.0 +2068,2.0,6.0 +2069,4.0,2.0 +2070,1.0,2.0 +2071,4.0,9.0 +2072,2.0,3.0 +2073,0.0,1.0 +2074,2.0,2.0 +2075,1.0,4.0 +2076,2.0,3.0 +2077,5.0,4.0 +2078,2.0,3.0 +2079,2.0,7.0 +2080,0.0,4.0 +2081,0.0,5.0 +2082,0.0,3.0 +2083,2.0,2.0 +2084,3.0,3.0 +2085,4.0,5.0 +2086,1.0,5.0 +2087,2.0,4.0 +2088,1.0,6.0 +2089,2.0,5.0 +2090,1.0,11.0 +2091,3.0,7.0 +2092,2.0,2.0 +2093,2.0,6.0 +2094,4.0,7.0 +2095,3.0,3.0 +2096,3.0,6.0 +2097,4.0,4.0 +2098,2.0,3.0 +2099,2.0,3.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/813-peak+year_c.csv b/SurgeData/813-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/813-peak+year_c.csv rename to SurgeData/813-peak+year_c.csv diff --git a/SurgeData/N=1000/813-peak+year_w.csv b/SurgeData/813-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/813-peak+year_w.csv rename to SurgeData/813-peak+year_w.csv diff --git a/SurgeData/N=1000/813-peak_c.csv b/SurgeData/813-peak_c.csv similarity index 100% rename from SurgeData/N=1000/813-peak_c.csv rename to SurgeData/813-peak_c.csv diff --git a/SurgeData/N=1000/813-peak_w.csv b/SurgeData/813-peak_w.csv similarity index 100% rename from SurgeData/N=1000/813-peak_w.csv rename to SurgeData/813-peak_w.csv diff --git a/SurgeData/N=1000/813-surge_c.csv b/SurgeData/813-surge_c.csv similarity index 100% rename from SurgeData/N=1000/813-surge_c.csv rename to SurgeData/813-surge_c.csv diff --git a/SurgeData/N=1000/813-surge_w.csv b/SurgeData/813-surge_w.csv similarity index 100% rename from SurgeData/N=1000/813-surge_w.csv rename to SurgeData/813-surge_w.csv diff --git a/SurgeData/N=1000/813-time_c.csv b/SurgeData/813-time_c.csv similarity index 100% rename from SurgeData/N=1000/813-time_c.csv rename to SurgeData/813-time_c.csv diff --git a/SurgeData/N=1000/813-time_w.csv b/SurgeData/813-time_w.csv similarity index 100% rename from SurgeData/N=1000/813-time_w.csv rename to SurgeData/813-time_w.csv diff --git a/SurgeData/N=1000/813-waterlevel_c.csv b/SurgeData/813-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/813-waterlevel_c.csv rename to SurgeData/813-waterlevel_c.csv diff --git a/SurgeData/N=1000/813-waterlevel_w.csv b/SurgeData/813-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/813-waterlevel_w.csv rename to SurgeData/813-waterlevel_w.csv diff --git a/SurgeData/814-num_storm.csv b/SurgeData/814-num_storm.csv new file mode 100644 index 00000000..2cf8a654 --- /dev/null +++ b/SurgeData/814-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,4.0 +2022,0.0,2.0 +2023,2.0,3.0 +2024,0.0,2.0 +2025,2.0,5.0 +2026,2.0,2.0 +2027,2.0,0.0 +2028,4.0,1.0 +2029,1.0,3.0 +2030,0.0,1.0 +2031,0.0,10.0 +2032,2.0,6.0 +2033,1.0,6.0 +2034,3.0,3.0 +2035,0.0,6.0 +2036,3.0,4.0 +2037,1.0,1.0 +2038,1.0,0.0 +2039,1.0,3.0 +2040,0.0,6.0 +2041,1.0,5.0 +2042,1.0,6.0 +2043,2.0,2.0 +2044,1.0,4.0 +2045,2.0,5.0 +2046,2.0,5.0 +2047,4.0,2.0 +2048,0.0,4.0 +2049,0.0,6.0 +2050,3.0,5.0 +2051,2.0,2.0 +2052,2.0,3.0 +2053,1.0,3.0 +2054,2.0,2.0 +2055,1.0,3.0 +2056,2.0,3.0 +2057,2.0,4.0 +2058,3.0,1.0 +2059,1.0,1.0 +2060,2.0,3.0 +2061,1.0,1.0 +2062,1.0,4.0 +2063,1.0,5.0 +2064,3.0,6.0 +2065,1.0,6.0 +2066,3.0,5.0 +2067,1.0,5.0 +2068,0.0,2.0 +2069,0.0,6.0 +2070,3.0,4.0 +2071,1.0,4.0 +2072,1.0,3.0 +2073,1.0,6.0 +2074,1.0,4.0 +2075,2.0,1.0 +2076,2.0,9.0 +2077,0.0,10.0 +2078,1.0,1.0 +2079,3.0,4.0 +2080,1.0,6.0 +2081,2.0,4.0 +2082,2.0,5.0 +2083,0.0,5.0 +2084,2.0,2.0 +2085,1.0,2.0 +2086,2.0,5.0 +2087,1.0,6.0 +2088,0.0,6.0 +2089,1.0,6.0 +2090,1.0,3.0 +2091,1.0,4.0 +2092,2.0,6.0 +2093,1.0,4.0 +2094,3.0,7.0 +2095,2.0,5.0 +2096,1.0,2.0 +2097,0.0,1.0 +2098,1.0,4.0 +2099,1.0,7.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/814-peak+year_c.csv b/SurgeData/814-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/814-peak+year_c.csv rename to SurgeData/814-peak+year_c.csv diff --git a/SurgeData/N=1000/814-peak+year_w.csv b/SurgeData/814-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/814-peak+year_w.csv rename to SurgeData/814-peak+year_w.csv diff --git a/SurgeData/N=1000/814-peak_c.csv b/SurgeData/814-peak_c.csv similarity index 100% rename from SurgeData/N=1000/814-peak_c.csv rename to SurgeData/814-peak_c.csv diff --git a/SurgeData/N=1000/814-peak_w.csv b/SurgeData/814-peak_w.csv similarity index 100% rename from SurgeData/N=1000/814-peak_w.csv rename to SurgeData/814-peak_w.csv diff --git a/SurgeData/N=1000/814-surge_c.csv b/SurgeData/814-surge_c.csv similarity index 100% rename from SurgeData/N=1000/814-surge_c.csv rename to SurgeData/814-surge_c.csv diff --git a/SurgeData/N=1000/814-surge_w.csv b/SurgeData/814-surge_w.csv similarity index 100% rename from SurgeData/N=1000/814-surge_w.csv rename to SurgeData/814-surge_w.csv diff --git a/SurgeData/N=1000/814-time_c.csv b/SurgeData/814-time_c.csv similarity index 100% rename from SurgeData/N=1000/814-time_c.csv rename to SurgeData/814-time_c.csv diff --git a/SurgeData/N=1000/814-time_w.csv b/SurgeData/814-time_w.csv similarity index 100% rename from SurgeData/N=1000/814-time_w.csv rename to SurgeData/814-time_w.csv diff --git a/SurgeData/N=1000/814-waterlevel_c.csv b/SurgeData/814-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/814-waterlevel_c.csv rename to SurgeData/814-waterlevel_c.csv diff --git a/SurgeData/N=1000/814-waterlevel_w.csv b/SurgeData/814-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/814-waterlevel_w.csv rename to SurgeData/814-waterlevel_w.csv diff --git a/SurgeData/815-num_storm.csv b/SurgeData/815-num_storm.csv new file mode 100644 index 00000000..12f86023 --- /dev/null +++ b/SurgeData/815-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,4.0 +2022,2.0,5.0 +2023,1.0,4.0 +2024,2.0,2.0 +2025,1.0,3.0 +2026,2.0,5.0 +2027,0.0,5.0 +2028,1.0,5.0 +2029,2.0,5.0 +2030,4.0,6.0 +2031,2.0,4.0 +2032,0.0,5.0 +2033,3.0,5.0 +2034,2.0,5.0 +2035,1.0,4.0 +2036,3.0,6.0 +2037,1.0,5.0 +2038,0.0,7.0 +2039,2.0,5.0 +2040,0.0,4.0 +2041,1.0,7.0 +2042,2.0,4.0 +2043,1.0,1.0 +2044,3.0,8.0 +2045,2.0,4.0 +2046,2.0,6.0 +2047,4.0,5.0 +2048,2.0,8.0 +2049,1.0,6.0 +2050,2.0,5.0 +2051,2.0,3.0 +2052,3.0,3.0 +2053,2.0,2.0 +2054,2.0,5.0 +2055,6.0,3.0 +2056,2.0,1.0 +2057,3.0,2.0 +2058,0.0,7.0 +2059,2.0,2.0 +2060,1.0,2.0 +2061,1.0,4.0 +2062,1.0,4.0 +2063,2.0,1.0 +2064,0.0,2.0 +2065,0.0,0.0 +2066,4.0,8.0 +2067,1.0,3.0 +2068,1.0,0.0 +2069,4.0,3.0 +2070,0.0,4.0 +2071,1.0,2.0 +2072,1.0,3.0 +2073,1.0,6.0 +2074,1.0,7.0 +2075,0.0,2.0 +2076,2.0,5.0 +2077,1.0,4.0 +2078,0.0,1.0 +2079,1.0,5.0 +2080,2.0,5.0 +2081,3.0,2.0 +2082,1.0,6.0 +2083,1.0,3.0 +2084,0.0,3.0 +2085,0.0,4.0 +2086,0.0,6.0 +2087,2.0,4.0 +2088,2.0,3.0 +2089,0.0,3.0 +2090,1.0,3.0 +2091,0.0,2.0 +2092,2.0,6.0 +2093,2.0,3.0 +2094,3.0,9.0 +2095,1.0,3.0 +2096,1.0,3.0 +2097,5.0,5.0 +2098,2.0,3.0 +2099,3.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/815-peak+year_c.csv b/SurgeData/815-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/815-peak+year_c.csv rename to SurgeData/815-peak+year_c.csv diff --git a/SurgeData/N=1000/815-peak+year_w.csv b/SurgeData/815-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/815-peak+year_w.csv rename to SurgeData/815-peak+year_w.csv diff --git a/SurgeData/N=1000/815-peak_c.csv b/SurgeData/815-peak_c.csv similarity index 100% rename from SurgeData/N=1000/815-peak_c.csv rename to SurgeData/815-peak_c.csv diff --git a/SurgeData/N=1000/815-peak_w.csv b/SurgeData/815-peak_w.csv similarity index 100% rename from SurgeData/N=1000/815-peak_w.csv rename to SurgeData/815-peak_w.csv diff --git a/SurgeData/N=1000/815-surge_c.csv b/SurgeData/815-surge_c.csv similarity index 100% rename from SurgeData/N=1000/815-surge_c.csv rename to SurgeData/815-surge_c.csv diff --git a/SurgeData/N=1000/815-surge_w.csv b/SurgeData/815-surge_w.csv similarity index 100% rename from SurgeData/N=1000/815-surge_w.csv rename to SurgeData/815-surge_w.csv diff --git a/SurgeData/N=1000/815-time_c.csv b/SurgeData/815-time_c.csv similarity index 100% rename from SurgeData/N=1000/815-time_c.csv rename to SurgeData/815-time_c.csv diff --git a/SurgeData/N=1000/815-time_w.csv b/SurgeData/815-time_w.csv similarity index 100% rename from SurgeData/N=1000/815-time_w.csv rename to SurgeData/815-time_w.csv diff --git a/SurgeData/N=1000/815-waterlevel_c.csv b/SurgeData/815-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/815-waterlevel_c.csv rename to SurgeData/815-waterlevel_c.csv diff --git a/SurgeData/N=1000/815-waterlevel_w.csv b/SurgeData/815-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/815-waterlevel_w.csv rename to SurgeData/815-waterlevel_w.csv diff --git a/SurgeData/816-num_storm.csv b/SurgeData/816-num_storm.csv new file mode 100644 index 00000000..58e2f8eb --- /dev/null +++ b/SurgeData/816-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,5.0,3.0 +2022,3.0,2.0 +2023,2.0,6.0 +2024,2.0,5.0 +2025,3.0,2.0 +2026,1.0,4.0 +2027,2.0,2.0 +2028,1.0,1.0 +2029,1.0,3.0 +2030,2.0,6.0 +2031,3.0,4.0 +2032,3.0,2.0 +2033,2.0,9.0 +2034,4.0,5.0 +2035,4.0,4.0 +2036,1.0,3.0 +2037,0.0,1.0 +2038,1.0,4.0 +2039,1.0,4.0 +2040,4.0,5.0 +2041,1.0,2.0 +2042,1.0,1.0 +2043,0.0,2.0 +2044,1.0,6.0 +2045,4.0,2.0 +2046,0.0,4.0 +2047,2.0,6.0 +2048,3.0,3.0 +2049,1.0,4.0 +2050,3.0,3.0 +2051,1.0,2.0 +2052,5.0,3.0 +2053,1.0,2.0 +2054,1.0,4.0 +2055,1.0,3.0 +2056,2.0,3.0 +2057,1.0,4.0 +2058,2.0,1.0 +2059,1.0,2.0 +2060,1.0,8.0 +2061,1.0,6.0 +2062,1.0,8.0 +2063,2.0,10.0 +2064,1.0,8.0 +2065,1.0,5.0 +2066,0.0,2.0 +2067,0.0,5.0 +2068,6.0,3.0 +2069,1.0,5.0 +2070,2.0,6.0 +2071,1.0,6.0 +2072,1.0,4.0 +2073,3.0,3.0 +2074,1.0,4.0 +2075,2.0,5.0 +2076,1.0,9.0 +2077,3.0,5.0 +2078,4.0,1.0 +2079,1.0,2.0 +2080,2.0,3.0 +2081,2.0,2.0 +2082,1.0,12.0 +2083,1.0,5.0 +2084,0.0,4.0 +2085,2.0,2.0 +2086,5.0,4.0 +2087,5.0,3.0 +2088,3.0,2.0 +2089,6.0,5.0 +2090,1.0,3.0 +2091,0.0,1.0 +2092,2.0,4.0 +2093,0.0,3.0 +2094,1.0,7.0 +2095,1.0,3.0 +2096,1.0,3.0 +2097,1.0,4.0 +2098,0.0,6.0 +2099,1.0,4.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/816-peak+year_c.csv b/SurgeData/816-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/816-peak+year_c.csv rename to SurgeData/816-peak+year_c.csv diff --git a/SurgeData/N=1000/816-peak+year_w.csv b/SurgeData/816-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/816-peak+year_w.csv rename to SurgeData/816-peak+year_w.csv diff --git a/SurgeData/N=1000/816-peak_c.csv b/SurgeData/816-peak_c.csv similarity index 100% rename from SurgeData/N=1000/816-peak_c.csv rename to SurgeData/816-peak_c.csv diff --git a/SurgeData/N=1000/816-peak_w.csv b/SurgeData/816-peak_w.csv similarity index 100% rename from SurgeData/N=1000/816-peak_w.csv rename to SurgeData/816-peak_w.csv diff --git a/SurgeData/N=1000/816-surge_c.csv b/SurgeData/816-surge_c.csv similarity index 100% rename from SurgeData/N=1000/816-surge_c.csv rename to SurgeData/816-surge_c.csv diff --git a/SurgeData/N=1000/816-surge_w.csv b/SurgeData/816-surge_w.csv similarity index 100% rename from SurgeData/N=1000/816-surge_w.csv rename to SurgeData/816-surge_w.csv diff --git a/SurgeData/N=1000/816-time_c.csv b/SurgeData/816-time_c.csv similarity index 100% rename from SurgeData/N=1000/816-time_c.csv rename to SurgeData/816-time_c.csv diff --git a/SurgeData/N=1000/816-time_w.csv b/SurgeData/816-time_w.csv similarity index 100% rename from SurgeData/N=1000/816-time_w.csv rename to SurgeData/816-time_w.csv diff --git a/SurgeData/N=1000/816-waterlevel_c.csv b/SurgeData/816-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/816-waterlevel_c.csv rename to SurgeData/816-waterlevel_c.csv diff --git a/SurgeData/N=1000/816-waterlevel_w.csv b/SurgeData/816-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/816-waterlevel_w.csv rename to SurgeData/816-waterlevel_w.csv diff --git a/SurgeData/N=1000/817-peak+year_c.csv b/SurgeData/817-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/817-peak+year_c.csv rename to SurgeData/817-peak+year_c.csv diff --git a/SurgeData/N=1000/817-peak+year_w.csv b/SurgeData/817-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/817-peak+year_w.csv rename to SurgeData/817-peak+year_w.csv diff --git a/SurgeData/N=1000/817-peak_c.csv b/SurgeData/817-peak_c.csv similarity index 100% rename from SurgeData/N=1000/817-peak_c.csv rename to SurgeData/817-peak_c.csv diff --git a/SurgeData/N=1000/817-peak_w.csv b/SurgeData/817-peak_w.csv similarity index 100% rename from SurgeData/N=1000/817-peak_w.csv rename to SurgeData/817-peak_w.csv diff --git a/SurgeData/N=1000/817-surge_c.csv b/SurgeData/817-surge_c.csv similarity index 100% rename from SurgeData/N=1000/817-surge_c.csv rename to SurgeData/817-surge_c.csv diff --git a/SurgeData/N=1000/817-surge_w.csv b/SurgeData/817-surge_w.csv similarity index 100% rename from SurgeData/N=1000/817-surge_w.csv rename to SurgeData/817-surge_w.csv diff --git a/SurgeData/N=1000/817-time_c.csv b/SurgeData/817-time_c.csv similarity index 100% rename from SurgeData/N=1000/817-time_c.csv rename to SurgeData/817-time_c.csv diff --git a/SurgeData/N=1000/817-time_w.csv b/SurgeData/817-time_w.csv similarity index 100% rename from SurgeData/N=1000/817-time_w.csv rename to SurgeData/817-time_w.csv diff --git a/SurgeData/N=1000/817-waterlevel_c.csv b/SurgeData/817-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/817-waterlevel_c.csv rename to SurgeData/817-waterlevel_c.csv diff --git a/SurgeData/N=1000/817-waterlevel_w.csv b/SurgeData/817-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/817-waterlevel_w.csv rename to SurgeData/817-waterlevel_w.csv diff --git a/SurgeData/818-num_storm.csv b/SurgeData/818-num_storm.csv new file mode 100644 index 00000000..b4200dcb --- /dev/null +++ b/SurgeData/818-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,0.0,8.0 +2022,0.0,3.0 +2023,1.0,4.0 +2024,3.0,8.0 +2025,2.0,4.0 +2026,2.0,4.0 +2027,0.0,5.0 +2028,3.0,3.0 +2029,2.0,1.0 +2030,4.0,2.0 +2031,0.0,2.0 +2032,2.0,5.0 +2033,0.0,4.0 +2034,1.0,5.0 +2035,1.0,2.0 +2036,1.0,2.0 +2037,1.0,3.0 +2038,0.0,0.0 +2039,0.0,6.0 +2040,1.0,3.0 +2041,0.0,4.0 +2042,2.0,2.0 +2043,2.0,2.0 +2044,1.0,5.0 +2045,3.0,6.0 +2046,1.0,3.0 +2047,2.0,2.0 +2048,1.0,6.0 +2049,3.0,3.0 +2050,3.0,4.0 +2051,3.0,7.0 +2052,2.0,4.0 +2053,1.0,1.0 +2054,5.0,2.0 +2055,2.0,4.0 +2056,5.0,3.0 +2057,2.0,4.0 +2058,0.0,2.0 +2059,1.0,6.0 +2060,5.0,3.0 +2061,2.0,3.0 +2062,3.0,4.0 +2063,1.0,1.0 +2064,1.0,4.0 +2065,0.0,4.0 +2066,3.0,6.0 +2067,1.0,3.0 +2068,0.0,4.0 +2069,0.0,2.0 +2070,1.0,3.0 +2071,3.0,7.0 +2072,2.0,6.0 +2073,5.0,3.0 +2074,0.0,6.0 +2075,2.0,5.0 +2076,1.0,4.0 +2077,1.0,5.0 +2078,0.0,5.0 +2079,0.0,4.0 +2080,2.0,8.0 +2081,2.0,3.0 +2082,4.0,1.0 +2083,3.0,5.0 +2084,1.0,4.0 +2085,1.0,3.0 +2086,3.0,3.0 +2087,2.0,4.0 +2088,1.0,5.0 +2089,2.0,2.0 +2090,4.0,4.0 +2091,0.0,1.0 +2092,0.0,4.0 +2093,1.0,5.0 +2094,2.0,2.0 +2095,1.0,1.0 +2096,1.0,1.0 +2097,1.0,5.0 +2098,4.0,3.0 +2099,1.0,1.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/818-peak+year_c.csv b/SurgeData/818-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/818-peak+year_c.csv rename to SurgeData/818-peak+year_c.csv diff --git a/SurgeData/N=1000/818-peak+year_w.csv b/SurgeData/818-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/818-peak+year_w.csv rename to SurgeData/818-peak+year_w.csv diff --git a/SurgeData/N=1000/818-peak_c.csv b/SurgeData/818-peak_c.csv similarity index 100% rename from SurgeData/N=1000/818-peak_c.csv rename to SurgeData/818-peak_c.csv diff --git a/SurgeData/N=1000/818-peak_w.csv b/SurgeData/818-peak_w.csv similarity index 100% rename from SurgeData/N=1000/818-peak_w.csv rename to SurgeData/818-peak_w.csv diff --git a/SurgeData/N=1000/818-surge_c.csv b/SurgeData/818-surge_c.csv similarity index 100% rename from SurgeData/N=1000/818-surge_c.csv rename to SurgeData/818-surge_c.csv diff --git a/SurgeData/N=1000/818-surge_w.csv b/SurgeData/818-surge_w.csv similarity index 100% rename from SurgeData/N=1000/818-surge_w.csv rename to SurgeData/818-surge_w.csv diff --git a/SurgeData/N=1000/818-time_c.csv b/SurgeData/818-time_c.csv similarity index 100% rename from SurgeData/N=1000/818-time_c.csv rename to SurgeData/818-time_c.csv diff --git a/SurgeData/N=1000/818-time_w.csv b/SurgeData/818-time_w.csv similarity index 100% rename from SurgeData/N=1000/818-time_w.csv rename to SurgeData/818-time_w.csv diff --git a/SurgeData/N=1000/818-waterlevel_c.csv b/SurgeData/818-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/818-waterlevel_c.csv rename to SurgeData/818-waterlevel_c.csv diff --git a/SurgeData/N=1000/818-waterlevel_w.csv b/SurgeData/818-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/818-waterlevel_w.csv rename to SurgeData/818-waterlevel_w.csv diff --git a/SurgeData/819-num_storm.csv b/SurgeData/819-num_storm.csv new file mode 100644 index 00000000..19ab3b70 --- /dev/null +++ b/SurgeData/819-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,7.0 +2022,0.0,3.0 +2023,1.0,3.0 +2024,1.0,1.0 +2025,1.0,8.0 +2026,2.0,6.0 +2027,0.0,4.0 +2028,3.0,6.0 +2029,1.0,3.0 +2030,4.0,5.0 +2031,3.0,3.0 +2032,1.0,0.0 +2033,1.0,8.0 +2034,0.0,4.0 +2035,0.0,3.0 +2036,0.0,3.0 +2037,0.0,6.0 +2038,3.0,2.0 +2039,0.0,4.0 +2040,4.0,7.0 +2041,1.0,6.0 +2042,0.0,2.0 +2043,1.0,5.0 +2044,1.0,3.0 +2045,2.0,5.0 +2046,2.0,4.0 +2047,0.0,8.0 +2048,0.0,1.0 +2049,1.0,6.0 +2050,0.0,5.0 +2051,2.0,8.0 +2052,1.0,4.0 +2053,1.0,4.0 +2054,1.0,7.0 +2055,2.0,1.0 +2056,1.0,2.0 +2057,4.0,2.0 +2058,1.0,8.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,4.0,8.0 +2062,1.0,3.0 +2063,1.0,6.0 +2064,1.0,5.0 +2065,0.0,2.0 +2066,0.0,8.0 +2067,2.0,3.0 +2068,1.0,5.0 +2069,2.0,5.0 +2070,2.0,5.0 +2071,2.0,5.0 +2072,4.0,2.0 +2073,4.0,3.0 +2074,3.0,2.0 +2075,0.0,5.0 +2076,0.0,3.0 +2077,2.0,8.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,2.0,1.0 +2081,2.0,4.0 +2082,0.0,5.0 +2083,4.0,2.0 +2084,1.0,2.0 +2085,0.0,2.0 +2086,1.0,5.0 +2087,2.0,1.0 +2088,2.0,5.0 +2089,2.0,3.0 +2090,5.0,3.0 +2091,5.0,3.0 +2092,0.0,5.0 +2093,2.0,4.0 +2094,2.0,3.0 +2095,3.0,6.0 +2096,2.0,4.0 +2097,1.0,1.0 +2098,2.0,6.0 +2099,2.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/819-peak+year_c.csv b/SurgeData/819-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/819-peak+year_c.csv rename to SurgeData/819-peak+year_c.csv diff --git a/SurgeData/N=1000/819-peak+year_w.csv b/SurgeData/819-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/819-peak+year_w.csv rename to SurgeData/819-peak+year_w.csv diff --git a/SurgeData/N=1000/819-peak_c.csv b/SurgeData/819-peak_c.csv similarity index 100% rename from SurgeData/N=1000/819-peak_c.csv rename to SurgeData/819-peak_c.csv diff --git a/SurgeData/N=1000/819-peak_w.csv b/SurgeData/819-peak_w.csv similarity index 100% rename from SurgeData/N=1000/819-peak_w.csv rename to SurgeData/819-peak_w.csv diff --git a/SurgeData/N=1000/819-surge_c.csv b/SurgeData/819-surge_c.csv similarity index 100% rename from SurgeData/N=1000/819-surge_c.csv rename to SurgeData/819-surge_c.csv diff --git a/SurgeData/N=1000/819-surge_w.csv b/SurgeData/819-surge_w.csv similarity index 100% rename from SurgeData/N=1000/819-surge_w.csv rename to SurgeData/819-surge_w.csv diff --git a/SurgeData/N=1000/819-time_c.csv b/SurgeData/819-time_c.csv similarity index 100% rename from SurgeData/N=1000/819-time_c.csv rename to SurgeData/819-time_c.csv diff --git a/SurgeData/N=1000/819-time_w.csv b/SurgeData/819-time_w.csv similarity index 100% rename from SurgeData/N=1000/819-time_w.csv rename to SurgeData/819-time_w.csv diff --git a/SurgeData/N=1000/819-waterlevel_c.csv b/SurgeData/819-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/819-waterlevel_c.csv rename to SurgeData/819-waterlevel_c.csv diff --git a/SurgeData/N=1000/819-waterlevel_w.csv b/SurgeData/819-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/819-waterlevel_w.csv rename to SurgeData/819-waterlevel_w.csv diff --git a/SurgeData/82-num_storm.csv b/SurgeData/82-num_storm.csv new file mode 100644 index 00000000..e93b7ddd --- /dev/null +++ b/SurgeData/82-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,4.0 +2021,4.0,3.0 +2022,2.0,6.0 +2023,5.0,1.0 +2024,3.0,2.0 +2025,2.0,6.0 +2026,0.0,4.0 +2027,1.0,1.0 +2028,2.0,6.0 +2029,3.0,4.0 +2030,2.0,5.0 +2031,0.0,7.0 +2032,3.0,3.0 +2033,1.0,8.0 +2034,1.0,6.0 +2035,0.0,2.0 +2036,1.0,6.0 +2037,0.0,6.0 +2038,1.0,5.0 +2039,3.0,1.0 +2040,1.0,5.0 +2041,1.0,13.0 +2042,4.0,3.0 +2043,3.0,2.0 +2044,0.0,2.0 +2045,1.0,0.0 +2046,0.0,5.0 +2047,3.0,2.0 +2048,3.0,6.0 +2049,2.0,2.0 +2050,4.0,1.0 +2051,1.0,4.0 +2052,2.0,4.0 +2053,0.0,2.0 +2054,1.0,5.0 +2055,0.0,2.0 +2056,1.0,0.0 +2057,0.0,4.0 +2058,3.0,6.0 +2059,2.0,6.0 +2060,3.0,7.0 +2061,3.0,3.0 +2062,1.0,2.0 +2063,3.0,4.0 +2064,0.0,1.0 +2065,0.0,0.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,1.0,7.0 +2069,1.0,7.0 +2070,1.0,5.0 +2071,1.0,6.0 +2072,0.0,5.0 +2073,1.0,5.0 +2074,1.0,1.0 +2075,0.0,5.0 +2076,1.0,2.0 +2077,1.0,3.0 +2078,3.0,4.0 +2079,3.0,3.0 +2080,2.0,6.0 +2081,1.0,2.0 +2082,1.0,3.0 +2083,0.0,0.0 +2084,2.0,6.0 +2085,0.0,9.0 +2086,1.0,3.0 +2087,2.0,5.0 +2088,2.0,6.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,0.0,7.0 +2092,4.0,4.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,2.0,6.0 +2096,0.0,3.0 +2097,2.0,6.0 +2098,0.0,7.0 +2099,4.0,4.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/82-peak+year_c.csv b/SurgeData/82-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/82-peak+year_c.csv rename to SurgeData/82-peak+year_c.csv diff --git a/SurgeData/N=1000/82-peak+year_w.csv b/SurgeData/82-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/82-peak+year_w.csv rename to SurgeData/82-peak+year_w.csv diff --git a/SurgeData/N=1000/82-peak_c.csv b/SurgeData/82-peak_c.csv similarity index 100% rename from SurgeData/N=1000/82-peak_c.csv rename to SurgeData/82-peak_c.csv diff --git a/SurgeData/N=1000/82-peak_w.csv b/SurgeData/82-peak_w.csv similarity index 100% rename from SurgeData/N=1000/82-peak_w.csv rename to SurgeData/82-peak_w.csv diff --git a/SurgeData/N=1000/82-surge_c.csv b/SurgeData/82-surge_c.csv similarity index 100% rename from SurgeData/N=1000/82-surge_c.csv rename to SurgeData/82-surge_c.csv diff --git a/SurgeData/N=1000/82-surge_w.csv b/SurgeData/82-surge_w.csv similarity index 100% rename from SurgeData/N=1000/82-surge_w.csv rename to SurgeData/82-surge_w.csv diff --git a/SurgeData/N=1000/82-time_c.csv b/SurgeData/82-time_c.csv similarity index 100% rename from SurgeData/N=1000/82-time_c.csv rename to SurgeData/82-time_c.csv diff --git a/SurgeData/N=1000/82-time_w.csv b/SurgeData/82-time_w.csv similarity index 100% rename from SurgeData/N=1000/82-time_w.csv rename to SurgeData/82-time_w.csv diff --git a/SurgeData/N=1000/82-waterlevel_c.csv b/SurgeData/82-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/82-waterlevel_c.csv rename to SurgeData/82-waterlevel_c.csv diff --git a/SurgeData/N=1000/82-waterlevel_w.csv b/SurgeData/82-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/82-waterlevel_w.csv rename to SurgeData/82-waterlevel_w.csv diff --git a/SurgeData/820-num_storm.csv b/SurgeData/820-num_storm.csv new file mode 100644 index 00000000..90321c2c --- /dev/null +++ b/SurgeData/820-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,12.0 +2022,2.0,3.0 +2023,0.0,4.0 +2024,0.0,6.0 +2025,1.0,6.0 +2026,1.0,2.0 +2027,1.0,5.0 +2028,1.0,6.0 +2029,3.0,3.0 +2030,1.0,5.0 +2031,2.0,5.0 +2032,2.0,7.0 +2033,1.0,7.0 +2034,3.0,6.0 +2035,2.0,4.0 +2036,3.0,4.0 +2037,1.0,2.0 +2038,1.0,4.0 +2039,3.0,2.0 +2040,1.0,4.0 +2041,2.0,5.0 +2042,4.0,7.0 +2043,0.0,3.0 +2044,0.0,2.0 +2045,2.0,3.0 +2046,1.0,6.0 +2047,2.0,2.0 +2048,4.0,7.0 +2049,1.0,0.0 +2050,1.0,3.0 +2051,3.0,6.0 +2052,1.0,2.0 +2053,2.0,4.0 +2054,2.0,4.0 +2055,0.0,4.0 +2056,2.0,2.0 +2057,1.0,6.0 +2058,6.0,3.0 +2059,2.0,5.0 +2060,2.0,6.0 +2061,1.0,4.0 +2062,0.0,8.0 +2063,0.0,1.0 +2064,1.0,4.0 +2065,4.0,9.0 +2066,1.0,3.0 +2067,2.0,5.0 +2068,0.0,2.0 +2069,1.0,5.0 +2070,2.0,2.0 +2071,0.0,4.0 +2072,0.0,5.0 +2073,4.0,5.0 +2074,0.0,5.0 +2075,0.0,5.0 +2076,0.0,6.0 +2077,1.0,3.0 +2078,2.0,6.0 +2079,0.0,2.0 +2080,1.0,2.0 +2081,2.0,1.0 +2082,1.0,2.0 +2083,4.0,4.0 +2084,1.0,5.0 +2085,3.0,3.0 +2086,0.0,6.0 +2087,3.0,3.0 +2088,0.0,2.0 +2089,1.0,6.0 +2090,1.0,10.0 +2091,1.0,4.0 +2092,2.0,2.0 +2093,2.0,7.0 +2094,2.0,6.0 +2095,1.0,6.0 +2096,1.0,5.0 +2097,1.0,2.0 +2098,0.0,4.0 +2099,1.0,0.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/820-peak+year_c.csv b/SurgeData/820-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/820-peak+year_c.csv rename to SurgeData/820-peak+year_c.csv diff --git a/SurgeData/N=1000/820-peak+year_w.csv b/SurgeData/820-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/820-peak+year_w.csv rename to SurgeData/820-peak+year_w.csv diff --git a/SurgeData/N=1000/820-peak_c.csv b/SurgeData/820-peak_c.csv similarity index 100% rename from SurgeData/N=1000/820-peak_c.csv rename to SurgeData/820-peak_c.csv diff --git a/SurgeData/N=1000/820-peak_w.csv b/SurgeData/820-peak_w.csv similarity index 100% rename from SurgeData/N=1000/820-peak_w.csv rename to SurgeData/820-peak_w.csv diff --git a/SurgeData/N=1000/820-surge_c.csv b/SurgeData/820-surge_c.csv similarity index 100% rename from SurgeData/N=1000/820-surge_c.csv rename to SurgeData/820-surge_c.csv diff --git a/SurgeData/N=1000/820-surge_w.csv b/SurgeData/820-surge_w.csv similarity index 100% rename from SurgeData/N=1000/820-surge_w.csv rename to SurgeData/820-surge_w.csv diff --git a/SurgeData/N=1000/820-time_c.csv b/SurgeData/820-time_c.csv similarity index 100% rename from SurgeData/N=1000/820-time_c.csv rename to SurgeData/820-time_c.csv diff --git a/SurgeData/N=1000/820-time_w.csv b/SurgeData/820-time_w.csv similarity index 100% rename from SurgeData/N=1000/820-time_w.csv rename to SurgeData/820-time_w.csv diff --git a/SurgeData/N=1000/820-waterlevel_c.csv b/SurgeData/820-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/820-waterlevel_c.csv rename to SurgeData/820-waterlevel_c.csv diff --git a/SurgeData/N=1000/820-waterlevel_w.csv b/SurgeData/820-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/820-waterlevel_w.csv rename to SurgeData/820-waterlevel_w.csv diff --git a/SurgeData/N=1000/821-peak+year_c.csv b/SurgeData/821-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/821-peak+year_c.csv rename to SurgeData/821-peak+year_c.csv diff --git a/SurgeData/N=1000/821-peak+year_w.csv b/SurgeData/821-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/821-peak+year_w.csv rename to SurgeData/821-peak+year_w.csv diff --git a/SurgeData/N=1000/821-peak_c.csv b/SurgeData/821-peak_c.csv similarity index 100% rename from SurgeData/N=1000/821-peak_c.csv rename to SurgeData/821-peak_c.csv diff --git a/SurgeData/N=1000/821-peak_w.csv b/SurgeData/821-peak_w.csv similarity index 100% rename from SurgeData/N=1000/821-peak_w.csv rename to SurgeData/821-peak_w.csv diff --git a/SurgeData/N=1000/821-surge_c.csv b/SurgeData/821-surge_c.csv similarity index 100% rename from SurgeData/N=1000/821-surge_c.csv rename to SurgeData/821-surge_c.csv diff --git a/SurgeData/N=1000/821-surge_w.csv b/SurgeData/821-surge_w.csv similarity index 100% rename from SurgeData/N=1000/821-surge_w.csv rename to SurgeData/821-surge_w.csv diff --git a/SurgeData/N=1000/821-time_c.csv b/SurgeData/821-time_c.csv similarity index 100% rename from SurgeData/N=1000/821-time_c.csv rename to SurgeData/821-time_c.csv diff --git a/SurgeData/N=1000/821-time_w.csv b/SurgeData/821-time_w.csv similarity index 100% rename from SurgeData/N=1000/821-time_w.csv rename to SurgeData/821-time_w.csv diff --git a/SurgeData/N=1000/821-waterlevel_c.csv b/SurgeData/821-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/821-waterlevel_c.csv rename to SurgeData/821-waterlevel_c.csv diff --git a/SurgeData/N=1000/821-waterlevel_w.csv b/SurgeData/821-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/821-waterlevel_w.csv rename to SurgeData/821-waterlevel_w.csv diff --git a/SurgeData/N=1000/822-peak+year_c.csv b/SurgeData/822-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/822-peak+year_c.csv rename to SurgeData/822-peak+year_c.csv diff --git a/SurgeData/N=1000/822-peak+year_w.csv b/SurgeData/822-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/822-peak+year_w.csv rename to SurgeData/822-peak+year_w.csv diff --git a/SurgeData/N=1000/822-peak_c.csv b/SurgeData/822-peak_c.csv similarity index 100% rename from SurgeData/N=1000/822-peak_c.csv rename to SurgeData/822-peak_c.csv diff --git a/SurgeData/N=1000/822-peak_w.csv b/SurgeData/822-peak_w.csv similarity index 100% rename from SurgeData/N=1000/822-peak_w.csv rename to SurgeData/822-peak_w.csv diff --git a/SurgeData/N=1000/822-surge_c.csv b/SurgeData/822-surge_c.csv similarity index 100% rename from SurgeData/N=1000/822-surge_c.csv rename to SurgeData/822-surge_c.csv diff --git a/SurgeData/N=1000/822-surge_w.csv b/SurgeData/822-surge_w.csv similarity index 100% rename from SurgeData/N=1000/822-surge_w.csv rename to SurgeData/822-surge_w.csv diff --git a/SurgeData/N=1000/822-time_c.csv b/SurgeData/822-time_c.csv similarity index 100% rename from SurgeData/N=1000/822-time_c.csv rename to SurgeData/822-time_c.csv diff --git a/SurgeData/N=1000/822-time_w.csv b/SurgeData/822-time_w.csv similarity index 100% rename from SurgeData/N=1000/822-time_w.csv rename to SurgeData/822-time_w.csv diff --git a/SurgeData/N=1000/822-waterlevel_c.csv b/SurgeData/822-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/822-waterlevel_c.csv rename to SurgeData/822-waterlevel_c.csv diff --git a/SurgeData/N=1000/822-waterlevel_w.csv b/SurgeData/822-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/822-waterlevel_w.csv rename to SurgeData/822-waterlevel_w.csv diff --git a/SurgeData/823-num_storm.csv b/SurgeData/823-num_storm.csv new file mode 100644 index 00000000..3ce50906 --- /dev/null +++ b/SurgeData/823-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,8.0 +2022,2.0,5.0 +2023,3.0,3.0 +2024,2.0,1.0 +2025,1.0,1.0 +2026,2.0,9.0 +2027,2.0,4.0 +2028,1.0,5.0 +2029,2.0,4.0 +2030,4.0,4.0 +2031,2.0,3.0 +2032,2.0,4.0 +2033,0.0,3.0 +2034,3.0,2.0 +2035,4.0,2.0 +2036,1.0,8.0 +2037,0.0,4.0 +2038,1.0,6.0 +2039,1.0,4.0 +2040,3.0,9.0 +2041,0.0,4.0 +2042,0.0,8.0 +2043,4.0,8.0 +2044,0.0,0.0 +2045,0.0,2.0 +2046,1.0,0.0 +2047,0.0,6.0 +2048,1.0,4.0 +2049,2.0,4.0 +2050,1.0,3.0 +2051,0.0,4.0 +2052,0.0,5.0 +2053,2.0,6.0 +2054,0.0,1.0 +2055,1.0,3.0 +2056,2.0,1.0 +2057,1.0,4.0 +2058,1.0,1.0 +2059,0.0,1.0 +2060,0.0,6.0 +2061,0.0,1.0 +2062,1.0,8.0 +2063,0.0,3.0 +2064,1.0,8.0 +2065,3.0,1.0 +2066,1.0,3.0 +2067,3.0,5.0 +2068,1.0,5.0 +2069,3.0,5.0 +2070,2.0,3.0 +2071,3.0,6.0 +2072,2.0,8.0 +2073,1.0,5.0 +2074,1.0,5.0 +2075,1.0,6.0 +2076,2.0,6.0 +2077,0.0,6.0 +2078,0.0,4.0 +2079,1.0,3.0 +2080,1.0,8.0 +2081,1.0,1.0 +2082,2.0,4.0 +2083,0.0,3.0 +2084,2.0,6.0 +2085,2.0,3.0 +2086,0.0,7.0 +2087,4.0,3.0 +2088,0.0,3.0 +2089,0.0,8.0 +2090,0.0,2.0 +2091,3.0,4.0 +2092,3.0,4.0 +2093,0.0,5.0 +2094,1.0,1.0 +2095,2.0,5.0 +2096,0.0,3.0 +2097,1.0,7.0 +2098,2.0,2.0 +2099,2.0,7.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/823-peak+year_c.csv b/SurgeData/823-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/823-peak+year_c.csv rename to SurgeData/823-peak+year_c.csv diff --git a/SurgeData/N=1000/823-peak+year_w.csv b/SurgeData/823-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/823-peak+year_w.csv rename to SurgeData/823-peak+year_w.csv diff --git a/SurgeData/N=1000/823-peak_c.csv b/SurgeData/823-peak_c.csv similarity index 100% rename from SurgeData/N=1000/823-peak_c.csv rename to SurgeData/823-peak_c.csv diff --git a/SurgeData/N=1000/823-peak_w.csv b/SurgeData/823-peak_w.csv similarity index 100% rename from SurgeData/N=1000/823-peak_w.csv rename to SurgeData/823-peak_w.csv diff --git a/SurgeData/N=1000/823-surge_c.csv b/SurgeData/823-surge_c.csv similarity index 100% rename from SurgeData/N=1000/823-surge_c.csv rename to SurgeData/823-surge_c.csv diff --git a/SurgeData/N=1000/823-surge_w.csv b/SurgeData/823-surge_w.csv similarity index 100% rename from SurgeData/N=1000/823-surge_w.csv rename to SurgeData/823-surge_w.csv diff --git a/SurgeData/N=1000/823-time_c.csv b/SurgeData/823-time_c.csv similarity index 100% rename from SurgeData/N=1000/823-time_c.csv rename to SurgeData/823-time_c.csv diff --git a/SurgeData/N=1000/823-time_w.csv b/SurgeData/823-time_w.csv similarity index 100% rename from SurgeData/N=1000/823-time_w.csv rename to SurgeData/823-time_w.csv diff --git a/SurgeData/N=1000/823-waterlevel_c.csv b/SurgeData/823-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/823-waterlevel_c.csv rename to SurgeData/823-waterlevel_c.csv diff --git a/SurgeData/N=1000/823-waterlevel_w.csv b/SurgeData/823-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/823-waterlevel_w.csv rename to SurgeData/823-waterlevel_w.csv diff --git a/SurgeData/824-num_storm.csv b/SurgeData/824-num_storm.csv new file mode 100644 index 00000000..c69bf966 --- /dev/null +++ b/SurgeData/824-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,3.0,3.0 +2022,4.0,1.0 +2023,2.0,6.0 +2024,2.0,4.0 +2025,1.0,5.0 +2026,5.0,3.0 +2027,1.0,1.0 +2028,2.0,1.0 +2029,1.0,2.0 +2030,0.0,4.0 +2031,1.0,4.0 +2032,1.0,3.0 +2033,1.0,1.0 +2034,1.0,4.0 +2035,1.0,2.0 +2036,1.0,5.0 +2037,5.0,4.0 +2038,1.0,5.0 +2039,4.0,3.0 +2040,2.0,5.0 +2041,1.0,4.0 +2042,1.0,5.0 +2043,0.0,3.0 +2044,2.0,9.0 +2045,1.0,3.0 +2046,1.0,9.0 +2047,1.0,5.0 +2048,3.0,9.0 +2049,2.0,4.0 +2050,2.0,8.0 +2051,3.0,3.0 +2052,2.0,2.0 +2053,0.0,6.0 +2054,1.0,6.0 +2055,1.0,6.0 +2056,1.0,2.0 +2057,2.0,5.0 +2058,1.0,0.0 +2059,2.0,7.0 +2060,2.0,4.0 +2061,1.0,8.0 +2062,1.0,3.0 +2063,0.0,1.0 +2064,1.0,4.0 +2065,0.0,5.0 +2066,3.0,2.0 +2067,1.0,3.0 +2068,2.0,5.0 +2069,3.0,6.0 +2070,2.0,4.0 +2071,2.0,6.0 +2072,0.0,2.0 +2073,0.0,4.0 +2074,4.0,4.0 +2075,0.0,4.0 +2076,3.0,5.0 +2077,0.0,9.0 +2078,1.0,4.0 +2079,1.0,5.0 +2080,1.0,2.0 +2081,2.0,4.0 +2082,0.0,3.0 +2083,6.0,6.0 +2084,0.0,6.0 +2085,2.0,3.0 +2086,0.0,3.0 +2087,2.0,2.0 +2088,3.0,4.0 +2089,4.0,4.0 +2090,0.0,4.0 +2091,0.0,4.0 +2092,1.0,4.0 +2093,0.0,7.0 +2094,1.0,4.0 +2095,0.0,7.0 +2096,3.0,4.0 +2097,2.0,3.0 +2098,3.0,1.0 +2099,1.0,8.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/824-peak+year_c.csv b/SurgeData/824-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/824-peak+year_c.csv rename to SurgeData/824-peak+year_c.csv diff --git a/SurgeData/N=1000/824-peak+year_w.csv b/SurgeData/824-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/824-peak+year_w.csv rename to SurgeData/824-peak+year_w.csv diff --git a/SurgeData/N=1000/824-peak_c.csv b/SurgeData/824-peak_c.csv similarity index 100% rename from SurgeData/N=1000/824-peak_c.csv rename to SurgeData/824-peak_c.csv diff --git a/SurgeData/N=1000/824-peak_w.csv b/SurgeData/824-peak_w.csv similarity index 100% rename from SurgeData/N=1000/824-peak_w.csv rename to SurgeData/824-peak_w.csv diff --git a/SurgeData/N=1000/824-surge_c.csv b/SurgeData/824-surge_c.csv similarity index 100% rename from SurgeData/N=1000/824-surge_c.csv rename to SurgeData/824-surge_c.csv diff --git a/SurgeData/N=1000/824-surge_w.csv b/SurgeData/824-surge_w.csv similarity index 100% rename from SurgeData/N=1000/824-surge_w.csv rename to SurgeData/824-surge_w.csv diff --git a/SurgeData/N=1000/824-time_c.csv b/SurgeData/824-time_c.csv similarity index 100% rename from SurgeData/N=1000/824-time_c.csv rename to SurgeData/824-time_c.csv diff --git a/SurgeData/N=1000/824-time_w.csv b/SurgeData/824-time_w.csv similarity index 100% rename from SurgeData/N=1000/824-time_w.csv rename to SurgeData/824-time_w.csv diff --git a/SurgeData/N=1000/824-waterlevel_c.csv b/SurgeData/824-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/824-waterlevel_c.csv rename to SurgeData/824-waterlevel_c.csv diff --git a/SurgeData/N=1000/824-waterlevel_w.csv b/SurgeData/824-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/824-waterlevel_w.csv rename to SurgeData/824-waterlevel_w.csv diff --git a/SurgeData/825-num_storm.csv b/SurgeData/825-num_storm.csv new file mode 100644 index 00000000..540ed795 --- /dev/null +++ b/SurgeData/825-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,7.0 +2022,2.0,0.0 +2023,0.0,8.0 +2024,0.0,3.0 +2025,1.0,2.0 +2026,2.0,5.0 +2027,2.0,6.0 +2028,2.0,5.0 +2029,2.0,5.0 +2030,1.0,2.0 +2031,0.0,0.0 +2032,3.0,4.0 +2033,2.0,6.0 +2034,3.0,1.0 +2035,3.0,5.0 +2036,1.0,3.0 +2037,1.0,1.0 +2038,3.0,3.0 +2039,0.0,4.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,2.0,8.0 +2043,0.0,4.0 +2044,0.0,3.0 +2045,2.0,2.0 +2046,1.0,2.0 +2047,2.0,0.0 +2048,2.0,2.0 +2049,1.0,1.0 +2050,2.0,1.0 +2051,1.0,4.0 +2052,4.0,4.0 +2053,2.0,6.0 +2054,3.0,2.0 +2055,0.0,3.0 +2056,1.0,1.0 +2057,1.0,2.0 +2058,2.0,5.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,3.0,6.0 +2062,0.0,2.0 +2063,1.0,1.0 +2064,1.0,5.0 +2065,0.0,2.0 +2066,0.0,5.0 +2067,1.0,3.0 +2068,3.0,5.0 +2069,1.0,0.0 +2070,2.0,4.0 +2071,3.0,3.0 +2072,0.0,4.0 +2073,0.0,9.0 +2074,2.0,6.0 +2075,0.0,6.0 +2076,2.0,3.0 +2077,1.0,7.0 +2078,1.0,6.0 +2079,1.0,1.0 +2080,2.0,3.0 +2081,1.0,1.0 +2082,2.0,4.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,2.0,5.0 +2086,3.0,5.0 +2087,1.0,6.0 +2088,2.0,1.0 +2089,2.0,6.0 +2090,3.0,8.0 +2091,2.0,3.0 +2092,0.0,5.0 +2093,2.0,7.0 +2094,4.0,3.0 +2095,2.0,4.0 +2096,0.0,7.0 +2097,1.0,7.0 +2098,1.0,1.0 +2099,3.0,4.0 +2100,2.0,8.0 diff --git a/SurgeData/N=1000/825-peak+year_c.csv b/SurgeData/825-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/825-peak+year_c.csv rename to SurgeData/825-peak+year_c.csv diff --git a/SurgeData/N=1000/825-peak+year_w.csv b/SurgeData/825-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/825-peak+year_w.csv rename to SurgeData/825-peak+year_w.csv diff --git a/SurgeData/N=1000/825-peak_c.csv b/SurgeData/825-peak_c.csv similarity index 100% rename from SurgeData/N=1000/825-peak_c.csv rename to SurgeData/825-peak_c.csv diff --git a/SurgeData/N=1000/825-peak_w.csv b/SurgeData/825-peak_w.csv similarity index 100% rename from SurgeData/N=1000/825-peak_w.csv rename to SurgeData/825-peak_w.csv diff --git a/SurgeData/N=1000/825-surge_c.csv b/SurgeData/825-surge_c.csv similarity index 100% rename from SurgeData/N=1000/825-surge_c.csv rename to SurgeData/825-surge_c.csv diff --git a/SurgeData/N=1000/825-surge_w.csv b/SurgeData/825-surge_w.csv similarity index 100% rename from SurgeData/N=1000/825-surge_w.csv rename to SurgeData/825-surge_w.csv diff --git a/SurgeData/N=1000/825-time_c.csv b/SurgeData/825-time_c.csv similarity index 100% rename from SurgeData/N=1000/825-time_c.csv rename to SurgeData/825-time_c.csv diff --git a/SurgeData/N=1000/825-time_w.csv b/SurgeData/825-time_w.csv similarity index 100% rename from SurgeData/N=1000/825-time_w.csv rename to SurgeData/825-time_w.csv diff --git a/SurgeData/N=1000/825-waterlevel_c.csv b/SurgeData/825-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/825-waterlevel_c.csv rename to SurgeData/825-waterlevel_c.csv diff --git a/SurgeData/N=1000/825-waterlevel_w.csv b/SurgeData/825-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/825-waterlevel_w.csv rename to SurgeData/825-waterlevel_w.csv diff --git a/SurgeData/826-num_storm.csv b/SurgeData/826-num_storm.csv new file mode 100644 index 00000000..c8917497 --- /dev/null +++ b/SurgeData/826-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,0.0,6.0 +2022,1.0,5.0 +2023,3.0,1.0 +2024,2.0,5.0 +2025,2.0,5.0 +2026,2.0,4.0 +2027,0.0,4.0 +2028,3.0,3.0 +2029,2.0,5.0 +2030,2.0,6.0 +2031,1.0,3.0 +2032,2.0,10.0 +2033,0.0,5.0 +2034,2.0,1.0 +2035,1.0,3.0 +2036,5.0,7.0 +2037,2.0,3.0 +2038,1.0,5.0 +2039,4.0,5.0 +2040,1.0,3.0 +2041,2.0,7.0 +2042,2.0,1.0 +2043,2.0,2.0 +2044,1.0,2.0 +2045,3.0,7.0 +2046,1.0,5.0 +2047,1.0,4.0 +2048,1.0,3.0 +2049,1.0,3.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,1.0,6.0 +2053,1.0,6.0 +2054,2.0,7.0 +2055,2.0,4.0 +2056,1.0,5.0 +2057,1.0,11.0 +2058,2.0,1.0 +2059,0.0,6.0 +2060,2.0,4.0 +2061,0.0,3.0 +2062,1.0,2.0 +2063,3.0,7.0 +2064,2.0,1.0 +2065,0.0,4.0 +2066,1.0,7.0 +2067,2.0,4.0 +2068,1.0,4.0 +2069,3.0,0.0 +2070,4.0,4.0 +2071,2.0,3.0 +2072,2.0,6.0 +2073,3.0,4.0 +2074,2.0,7.0 +2075,0.0,6.0 +2076,3.0,7.0 +2077,1.0,7.0 +2078,5.0,1.0 +2079,2.0,4.0 +2080,1.0,2.0 +2081,1.0,4.0 +2082,3.0,4.0 +2083,3.0,5.0 +2084,3.0,2.0 +2085,0.0,4.0 +2086,0.0,3.0 +2087,1.0,5.0 +2088,1.0,5.0 +2089,3.0,5.0 +2090,3.0,7.0 +2091,2.0,7.0 +2092,2.0,7.0 +2093,1.0,3.0 +2094,4.0,6.0 +2095,3.0,5.0 +2096,0.0,2.0 +2097,1.0,3.0 +2098,2.0,7.0 +2099,2.0,5.0 +2100,3.0,3.0 diff --git a/SurgeData/N=1000/826-peak+year_c.csv b/SurgeData/826-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/826-peak+year_c.csv rename to SurgeData/826-peak+year_c.csv diff --git a/SurgeData/N=1000/826-peak+year_w.csv b/SurgeData/826-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/826-peak+year_w.csv rename to SurgeData/826-peak+year_w.csv diff --git a/SurgeData/N=1000/826-peak_c.csv b/SurgeData/826-peak_c.csv similarity index 100% rename from SurgeData/N=1000/826-peak_c.csv rename to SurgeData/826-peak_c.csv diff --git a/SurgeData/N=1000/826-peak_w.csv b/SurgeData/826-peak_w.csv similarity index 100% rename from SurgeData/N=1000/826-peak_w.csv rename to SurgeData/826-peak_w.csv diff --git a/SurgeData/N=1000/826-surge_c.csv b/SurgeData/826-surge_c.csv similarity index 100% rename from SurgeData/N=1000/826-surge_c.csv rename to SurgeData/826-surge_c.csv diff --git a/SurgeData/N=1000/826-surge_w.csv b/SurgeData/826-surge_w.csv similarity index 100% rename from SurgeData/N=1000/826-surge_w.csv rename to SurgeData/826-surge_w.csv diff --git a/SurgeData/N=1000/826-time_c.csv b/SurgeData/826-time_c.csv similarity index 100% rename from SurgeData/N=1000/826-time_c.csv rename to SurgeData/826-time_c.csv diff --git a/SurgeData/N=1000/826-time_w.csv b/SurgeData/826-time_w.csv similarity index 100% rename from SurgeData/N=1000/826-time_w.csv rename to SurgeData/826-time_w.csv diff --git a/SurgeData/N=1000/826-waterlevel_c.csv b/SurgeData/826-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/826-waterlevel_c.csv rename to SurgeData/826-waterlevel_c.csv diff --git a/SurgeData/N=1000/826-waterlevel_w.csv b/SurgeData/826-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/826-waterlevel_w.csv rename to SurgeData/826-waterlevel_w.csv diff --git a/SurgeData/N=1000/827-peak+year_c.csv b/SurgeData/827-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/827-peak+year_c.csv rename to SurgeData/827-peak+year_c.csv diff --git a/SurgeData/N=1000/827-peak+year_w.csv b/SurgeData/827-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/827-peak+year_w.csv rename to SurgeData/827-peak+year_w.csv diff --git a/SurgeData/N=1000/827-peak_c.csv b/SurgeData/827-peak_c.csv similarity index 100% rename from SurgeData/N=1000/827-peak_c.csv rename to SurgeData/827-peak_c.csv diff --git a/SurgeData/N=1000/827-peak_w.csv b/SurgeData/827-peak_w.csv similarity index 100% rename from SurgeData/N=1000/827-peak_w.csv rename to SurgeData/827-peak_w.csv diff --git a/SurgeData/N=1000/827-surge_c.csv b/SurgeData/827-surge_c.csv similarity index 100% rename from SurgeData/N=1000/827-surge_c.csv rename to SurgeData/827-surge_c.csv diff --git a/SurgeData/N=1000/827-surge_w.csv b/SurgeData/827-surge_w.csv similarity index 100% rename from SurgeData/N=1000/827-surge_w.csv rename to SurgeData/827-surge_w.csv diff --git a/SurgeData/N=1000/827-time_c.csv b/SurgeData/827-time_c.csv similarity index 100% rename from SurgeData/N=1000/827-time_c.csv rename to SurgeData/827-time_c.csv diff --git a/SurgeData/N=1000/827-time_w.csv b/SurgeData/827-time_w.csv similarity index 100% rename from SurgeData/N=1000/827-time_w.csv rename to SurgeData/827-time_w.csv diff --git a/SurgeData/N=1000/827-waterlevel_c.csv b/SurgeData/827-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/827-waterlevel_c.csv rename to SurgeData/827-waterlevel_c.csv diff --git a/SurgeData/N=1000/827-waterlevel_w.csv b/SurgeData/827-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/827-waterlevel_w.csv rename to SurgeData/827-waterlevel_w.csv diff --git a/SurgeData/828-num_storm.csv b/SurgeData/828-num_storm.csv new file mode 100644 index 00000000..c8f68e10 --- /dev/null +++ b/SurgeData/828-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,5.0,4.0 +2022,4.0,4.0 +2023,2.0,6.0 +2024,2.0,6.0 +2025,3.0,7.0 +2026,2.0,2.0 +2027,1.0,3.0 +2028,4.0,4.0 +2029,0.0,2.0 +2030,2.0,2.0 +2031,1.0,6.0 +2032,1.0,6.0 +2033,0.0,5.0 +2034,6.0,4.0 +2035,1.0,5.0 +2036,1.0,4.0 +2037,1.0,4.0 +2038,0.0,3.0 +2039,0.0,4.0 +2040,3.0,3.0 +2041,2.0,0.0 +2042,1.0,5.0 +2043,1.0,6.0 +2044,1.0,6.0 +2045,2.0,1.0 +2046,0.0,2.0 +2047,1.0,1.0 +2048,0.0,3.0 +2049,4.0,3.0 +2050,2.0,7.0 +2051,0.0,3.0 +2052,1.0,2.0 +2053,0.0,5.0 +2054,3.0,5.0 +2055,2.0,5.0 +2056,0.0,5.0 +2057,0.0,5.0 +2058,4.0,6.0 +2059,2.0,3.0 +2060,2.0,6.0 +2061,2.0,7.0 +2062,0.0,5.0 +2063,0.0,3.0 +2064,2.0,5.0 +2065,1.0,4.0 +2066,1.0,3.0 +2067,2.0,4.0 +2068,2.0,4.0 +2069,0.0,0.0 +2070,1.0,4.0 +2071,1.0,6.0 +2072,2.0,7.0 +2073,0.0,2.0 +2074,1.0,3.0 +2075,2.0,4.0 +2076,1.0,8.0 +2077,0.0,3.0 +2078,1.0,1.0 +2079,1.0,4.0 +2080,2.0,7.0 +2081,1.0,4.0 +2082,4.0,5.0 +2083,0.0,3.0 +2084,0.0,6.0 +2085,0.0,2.0 +2086,3.0,4.0 +2087,1.0,3.0 +2088,3.0,5.0 +2089,1.0,5.0 +2090,4.0,5.0 +2091,2.0,4.0 +2092,1.0,4.0 +2093,2.0,4.0 +2094,3.0,4.0 +2095,2.0,5.0 +2096,2.0,1.0 +2097,2.0,7.0 +2098,1.0,6.0 +2099,0.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/828-peak+year_c.csv b/SurgeData/828-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/828-peak+year_c.csv rename to SurgeData/828-peak+year_c.csv diff --git a/SurgeData/N=1000/828-peak+year_w.csv b/SurgeData/828-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/828-peak+year_w.csv rename to SurgeData/828-peak+year_w.csv diff --git a/SurgeData/N=1000/828-peak_c.csv b/SurgeData/828-peak_c.csv similarity index 100% rename from SurgeData/N=1000/828-peak_c.csv rename to SurgeData/828-peak_c.csv diff --git a/SurgeData/N=1000/828-peak_w.csv b/SurgeData/828-peak_w.csv similarity index 100% rename from SurgeData/N=1000/828-peak_w.csv rename to SurgeData/828-peak_w.csv diff --git a/SurgeData/N=1000/828-surge_c.csv b/SurgeData/828-surge_c.csv similarity index 100% rename from SurgeData/N=1000/828-surge_c.csv rename to SurgeData/828-surge_c.csv diff --git a/SurgeData/N=1000/828-surge_w.csv b/SurgeData/828-surge_w.csv similarity index 100% rename from SurgeData/N=1000/828-surge_w.csv rename to SurgeData/828-surge_w.csv diff --git a/SurgeData/N=1000/828-time_c.csv b/SurgeData/828-time_c.csv similarity index 100% rename from SurgeData/N=1000/828-time_c.csv rename to SurgeData/828-time_c.csv diff --git a/SurgeData/N=1000/828-time_w.csv b/SurgeData/828-time_w.csv similarity index 100% rename from SurgeData/N=1000/828-time_w.csv rename to SurgeData/828-time_w.csv diff --git a/SurgeData/N=1000/828-waterlevel_c.csv b/SurgeData/828-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/828-waterlevel_c.csv rename to SurgeData/828-waterlevel_c.csv diff --git a/SurgeData/N=1000/828-waterlevel_w.csv b/SurgeData/828-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/828-waterlevel_w.csv rename to SurgeData/828-waterlevel_w.csv diff --git a/SurgeData/N=1000/829-peak+year_c.csv b/SurgeData/829-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/829-peak+year_c.csv rename to SurgeData/829-peak+year_c.csv diff --git a/SurgeData/N=1000/829-peak+year_w.csv b/SurgeData/829-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/829-peak+year_w.csv rename to SurgeData/829-peak+year_w.csv diff --git a/SurgeData/N=1000/829-peak_c.csv b/SurgeData/829-peak_c.csv similarity index 100% rename from SurgeData/N=1000/829-peak_c.csv rename to SurgeData/829-peak_c.csv diff --git a/SurgeData/N=1000/829-peak_w.csv b/SurgeData/829-peak_w.csv similarity index 100% rename from SurgeData/N=1000/829-peak_w.csv rename to SurgeData/829-peak_w.csv diff --git a/SurgeData/N=1000/829-surge_c.csv b/SurgeData/829-surge_c.csv similarity index 100% rename from SurgeData/N=1000/829-surge_c.csv rename to SurgeData/829-surge_c.csv diff --git a/SurgeData/N=1000/829-surge_w.csv b/SurgeData/829-surge_w.csv similarity index 100% rename from SurgeData/N=1000/829-surge_w.csv rename to SurgeData/829-surge_w.csv diff --git a/SurgeData/N=1000/829-time_c.csv b/SurgeData/829-time_c.csv similarity index 100% rename from SurgeData/N=1000/829-time_c.csv rename to SurgeData/829-time_c.csv diff --git a/SurgeData/N=1000/829-time_w.csv b/SurgeData/829-time_w.csv similarity index 100% rename from SurgeData/N=1000/829-time_w.csv rename to SurgeData/829-time_w.csv diff --git a/SurgeData/N=1000/829-waterlevel_c.csv b/SurgeData/829-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/829-waterlevel_c.csv rename to SurgeData/829-waterlevel_c.csv diff --git a/SurgeData/N=1000/829-waterlevel_w.csv b/SurgeData/829-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/829-waterlevel_w.csv rename to SurgeData/829-waterlevel_w.csv diff --git a/SurgeData/83-num_storm.csv b/SurgeData/83-num_storm.csv new file mode 100644 index 00000000..554c8583 --- /dev/null +++ b/SurgeData/83-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,8.0 +2021,1.0,8.0 +2022,3.0,5.0 +2023,0.0,2.0 +2024,0.0,7.0 +2025,1.0,3.0 +2026,0.0,2.0 +2027,5.0,5.0 +2028,3.0,5.0 +2029,1.0,8.0 +2030,2.0,7.0 +2031,1.0,5.0 +2032,3.0,5.0 +2033,1.0,3.0 +2034,2.0,3.0 +2035,3.0,4.0 +2036,2.0,4.0 +2037,1.0,9.0 +2038,1.0,7.0 +2039,2.0,4.0 +2040,3.0,2.0 +2041,1.0,3.0 +2042,3.0,4.0 +2043,0.0,3.0 +2044,1.0,3.0 +2045,3.0,2.0 +2046,1.0,3.0 +2047,1.0,3.0 +2048,2.0,5.0 +2049,2.0,3.0 +2050,3.0,4.0 +2051,1.0,6.0 +2052,1.0,3.0 +2053,0.0,6.0 +2054,0.0,5.0 +2055,4.0,1.0 +2056,1.0,6.0 +2057,0.0,4.0 +2058,2.0,6.0 +2059,4.0,8.0 +2060,2.0,6.0 +2061,0.0,6.0 +2062,1.0,5.0 +2063,1.0,8.0 +2064,0.0,4.0 +2065,1.0,2.0 +2066,1.0,4.0 +2067,0.0,1.0 +2068,3.0,1.0 +2069,2.0,4.0 +2070,0.0,6.0 +2071,1.0,5.0 +2072,0.0,2.0 +2073,2.0,4.0 +2074,3.0,6.0 +2075,1.0,2.0 +2076,0.0,2.0 +2077,3.0,3.0 +2078,1.0,7.0 +2079,3.0,3.0 +2080,1.0,5.0 +2081,1.0,3.0 +2082,2.0,3.0 +2083,1.0,4.0 +2084,1.0,7.0 +2085,4.0,9.0 +2086,0.0,4.0 +2087,1.0,0.0 +2088,0.0,3.0 +2089,3.0,7.0 +2090,2.0,3.0 +2091,2.0,3.0 +2092,0.0,3.0 +2093,1.0,3.0 +2094,1.0,5.0 +2095,0.0,3.0 +2096,2.0,4.0 +2097,2.0,4.0 +2098,1.0,2.0 +2099,1.0,7.0 +2100,3.0,0.0 diff --git a/SurgeData/N=1000/83-peak+year_c.csv b/SurgeData/83-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/83-peak+year_c.csv rename to SurgeData/83-peak+year_c.csv diff --git a/SurgeData/N=1000/83-peak+year_w.csv b/SurgeData/83-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/83-peak+year_w.csv rename to SurgeData/83-peak+year_w.csv diff --git a/SurgeData/N=1000/83-peak_c.csv b/SurgeData/83-peak_c.csv similarity index 100% rename from SurgeData/N=1000/83-peak_c.csv rename to SurgeData/83-peak_c.csv diff --git a/SurgeData/N=1000/83-peak_w.csv b/SurgeData/83-peak_w.csv similarity index 100% rename from SurgeData/N=1000/83-peak_w.csv rename to SurgeData/83-peak_w.csv diff --git a/SurgeData/N=1000/83-surge_c.csv b/SurgeData/83-surge_c.csv similarity index 100% rename from SurgeData/N=1000/83-surge_c.csv rename to SurgeData/83-surge_c.csv diff --git a/SurgeData/N=1000/83-surge_w.csv b/SurgeData/83-surge_w.csv similarity index 100% rename from SurgeData/N=1000/83-surge_w.csv rename to SurgeData/83-surge_w.csv diff --git a/SurgeData/N=1000/83-time_c.csv b/SurgeData/83-time_c.csv similarity index 100% rename from SurgeData/N=1000/83-time_c.csv rename to SurgeData/83-time_c.csv diff --git a/SurgeData/N=1000/83-time_w.csv b/SurgeData/83-time_w.csv similarity index 100% rename from SurgeData/N=1000/83-time_w.csv rename to SurgeData/83-time_w.csv diff --git a/SurgeData/N=1000/83-waterlevel_c.csv b/SurgeData/83-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/83-waterlevel_c.csv rename to SurgeData/83-waterlevel_c.csv diff --git a/SurgeData/N=1000/83-waterlevel_w.csv b/SurgeData/83-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/83-waterlevel_w.csv rename to SurgeData/83-waterlevel_w.csv diff --git a/SurgeData/N=1000/830-peak+year_c.csv b/SurgeData/830-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/830-peak+year_c.csv rename to SurgeData/830-peak+year_c.csv diff --git a/SurgeData/N=1000/830-peak+year_w.csv b/SurgeData/830-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/830-peak+year_w.csv rename to SurgeData/830-peak+year_w.csv diff --git a/SurgeData/N=1000/830-peak_c.csv b/SurgeData/830-peak_c.csv similarity index 100% rename from SurgeData/N=1000/830-peak_c.csv rename to SurgeData/830-peak_c.csv diff --git a/SurgeData/N=1000/830-peak_w.csv b/SurgeData/830-peak_w.csv similarity index 100% rename from SurgeData/N=1000/830-peak_w.csv rename to SurgeData/830-peak_w.csv diff --git a/SurgeData/N=1000/830-surge_c.csv b/SurgeData/830-surge_c.csv similarity index 100% rename from SurgeData/N=1000/830-surge_c.csv rename to SurgeData/830-surge_c.csv diff --git a/SurgeData/N=1000/830-surge_w.csv b/SurgeData/830-surge_w.csv similarity index 100% rename from SurgeData/N=1000/830-surge_w.csv rename to SurgeData/830-surge_w.csv diff --git a/SurgeData/N=1000/830-time_c.csv b/SurgeData/830-time_c.csv similarity index 100% rename from SurgeData/N=1000/830-time_c.csv rename to SurgeData/830-time_c.csv diff --git a/SurgeData/N=1000/830-time_w.csv b/SurgeData/830-time_w.csv similarity index 100% rename from SurgeData/N=1000/830-time_w.csv rename to SurgeData/830-time_w.csv diff --git a/SurgeData/N=1000/830-waterlevel_c.csv b/SurgeData/830-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/830-waterlevel_c.csv rename to SurgeData/830-waterlevel_c.csv diff --git a/SurgeData/N=1000/830-waterlevel_w.csv b/SurgeData/830-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/830-waterlevel_w.csv rename to SurgeData/830-waterlevel_w.csv diff --git a/SurgeData/831-num_storm.csv b/SurgeData/831-num_storm.csv new file mode 100644 index 00000000..445d5156 --- /dev/null +++ b/SurgeData/831-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,2.0 +2022,3.0,3.0 +2023,2.0,3.0 +2024,1.0,3.0 +2025,3.0,7.0 +2026,2.0,4.0 +2027,3.0,1.0 +2028,1.0,7.0 +2029,0.0,3.0 +2030,2.0,4.0 +2031,1.0,5.0 +2032,1.0,2.0 +2033,0.0,4.0 +2034,2.0,2.0 +2035,2.0,5.0 +2036,2.0,1.0 +2037,1.0,5.0 +2038,0.0,1.0 +2039,3.0,2.0 +2040,2.0,5.0 +2041,0.0,6.0 +2042,1.0,6.0 +2043,1.0,6.0 +2044,1.0,6.0 +2045,0.0,6.0 +2046,0.0,4.0 +2047,2.0,5.0 +2048,2.0,4.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,2.0,5.0 +2052,2.0,4.0 +2053,3.0,3.0 +2054,2.0,5.0 +2055,2.0,6.0 +2056,0.0,3.0 +2057,2.0,2.0 +2058,1.0,10.0 +2059,0.0,1.0 +2060,4.0,4.0 +2061,2.0,6.0 +2062,1.0,1.0 +2063,0.0,3.0 +2064,2.0,8.0 +2065,0.0,3.0 +2066,2.0,6.0 +2067,1.0,6.0 +2068,2.0,5.0 +2069,4.0,3.0 +2070,2.0,9.0 +2071,1.0,5.0 +2072,5.0,4.0 +2073,0.0,4.0 +2074,2.0,4.0 +2075,0.0,4.0 +2076,3.0,7.0 +2077,0.0,7.0 +2078,2.0,2.0 +2079,3.0,1.0 +2080,2.0,8.0 +2081,0.0,3.0 +2082,0.0,3.0 +2083,1.0,4.0 +2084,3.0,5.0 +2085,1.0,3.0 +2086,2.0,2.0 +2087,1.0,8.0 +2088,0.0,4.0 +2089,0.0,8.0 +2090,1.0,1.0 +2091,4.0,2.0 +2092,2.0,5.0 +2093,2.0,4.0 +2094,3.0,4.0 +2095,1.0,3.0 +2096,0.0,6.0 +2097,2.0,4.0 +2098,1.0,0.0 +2099,0.0,3.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/831-peak+year_c.csv b/SurgeData/831-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/831-peak+year_c.csv rename to SurgeData/831-peak+year_c.csv diff --git a/SurgeData/N=1000/831-peak+year_w.csv b/SurgeData/831-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/831-peak+year_w.csv rename to SurgeData/831-peak+year_w.csv diff --git a/SurgeData/N=1000/831-peak_c.csv b/SurgeData/831-peak_c.csv similarity index 100% rename from SurgeData/N=1000/831-peak_c.csv rename to SurgeData/831-peak_c.csv diff --git a/SurgeData/N=1000/831-peak_w.csv b/SurgeData/831-peak_w.csv similarity index 100% rename from SurgeData/N=1000/831-peak_w.csv rename to SurgeData/831-peak_w.csv diff --git a/SurgeData/N=1000/831-surge_c.csv b/SurgeData/831-surge_c.csv similarity index 100% rename from SurgeData/N=1000/831-surge_c.csv rename to SurgeData/831-surge_c.csv diff --git a/SurgeData/N=1000/831-surge_w.csv b/SurgeData/831-surge_w.csv similarity index 100% rename from SurgeData/N=1000/831-surge_w.csv rename to SurgeData/831-surge_w.csv diff --git a/SurgeData/N=1000/831-time_c.csv b/SurgeData/831-time_c.csv similarity index 100% rename from SurgeData/N=1000/831-time_c.csv rename to SurgeData/831-time_c.csv diff --git a/SurgeData/N=1000/831-time_w.csv b/SurgeData/831-time_w.csv similarity index 100% rename from SurgeData/N=1000/831-time_w.csv rename to SurgeData/831-time_w.csv diff --git a/SurgeData/N=1000/831-waterlevel_c.csv b/SurgeData/831-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/831-waterlevel_c.csv rename to SurgeData/831-waterlevel_c.csv diff --git a/SurgeData/N=1000/831-waterlevel_w.csv b/SurgeData/831-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/831-waterlevel_w.csv rename to SurgeData/831-waterlevel_w.csv diff --git a/SurgeData/N=1000/832-peak+year_c.csv b/SurgeData/832-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/832-peak+year_c.csv rename to SurgeData/832-peak+year_c.csv diff --git a/SurgeData/N=1000/832-peak+year_w.csv b/SurgeData/832-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/832-peak+year_w.csv rename to SurgeData/832-peak+year_w.csv diff --git a/SurgeData/N=1000/832-peak_c.csv b/SurgeData/832-peak_c.csv similarity index 100% rename from SurgeData/N=1000/832-peak_c.csv rename to SurgeData/832-peak_c.csv diff --git a/SurgeData/N=1000/832-peak_w.csv b/SurgeData/832-peak_w.csv similarity index 100% rename from SurgeData/N=1000/832-peak_w.csv rename to SurgeData/832-peak_w.csv diff --git a/SurgeData/N=1000/832-surge_c.csv b/SurgeData/832-surge_c.csv similarity index 100% rename from SurgeData/N=1000/832-surge_c.csv rename to SurgeData/832-surge_c.csv diff --git a/SurgeData/N=1000/832-surge_w.csv b/SurgeData/832-surge_w.csv similarity index 100% rename from SurgeData/N=1000/832-surge_w.csv rename to SurgeData/832-surge_w.csv diff --git a/SurgeData/N=1000/832-time_c.csv b/SurgeData/832-time_c.csv similarity index 100% rename from SurgeData/N=1000/832-time_c.csv rename to SurgeData/832-time_c.csv diff --git a/SurgeData/N=1000/832-time_w.csv b/SurgeData/832-time_w.csv similarity index 100% rename from SurgeData/N=1000/832-time_w.csv rename to SurgeData/832-time_w.csv diff --git a/SurgeData/N=1000/832-waterlevel_c.csv b/SurgeData/832-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/832-waterlevel_c.csv rename to SurgeData/832-waterlevel_c.csv diff --git a/SurgeData/N=1000/832-waterlevel_w.csv b/SurgeData/832-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/832-waterlevel_w.csv rename to SurgeData/832-waterlevel_w.csv diff --git a/SurgeData/N=1000/833-peak+year_c.csv b/SurgeData/833-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/833-peak+year_c.csv rename to SurgeData/833-peak+year_c.csv diff --git a/SurgeData/N=1000/833-peak+year_w.csv b/SurgeData/833-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/833-peak+year_w.csv rename to SurgeData/833-peak+year_w.csv diff --git a/SurgeData/N=1000/833-peak_c.csv b/SurgeData/833-peak_c.csv similarity index 100% rename from SurgeData/N=1000/833-peak_c.csv rename to SurgeData/833-peak_c.csv diff --git a/SurgeData/N=1000/833-peak_w.csv b/SurgeData/833-peak_w.csv similarity index 100% rename from SurgeData/N=1000/833-peak_w.csv rename to SurgeData/833-peak_w.csv diff --git a/SurgeData/N=1000/833-surge_c.csv b/SurgeData/833-surge_c.csv similarity index 100% rename from SurgeData/N=1000/833-surge_c.csv rename to SurgeData/833-surge_c.csv diff --git a/SurgeData/N=1000/833-surge_w.csv b/SurgeData/833-surge_w.csv similarity index 100% rename from SurgeData/N=1000/833-surge_w.csv rename to SurgeData/833-surge_w.csv diff --git a/SurgeData/N=1000/833-time_c.csv b/SurgeData/833-time_c.csv similarity index 100% rename from SurgeData/N=1000/833-time_c.csv rename to SurgeData/833-time_c.csv diff --git a/SurgeData/N=1000/833-time_w.csv b/SurgeData/833-time_w.csv similarity index 100% rename from SurgeData/N=1000/833-time_w.csv rename to SurgeData/833-time_w.csv diff --git a/SurgeData/N=1000/833-waterlevel_c.csv b/SurgeData/833-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/833-waterlevel_c.csv rename to SurgeData/833-waterlevel_c.csv diff --git a/SurgeData/N=1000/833-waterlevel_w.csv b/SurgeData/833-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/833-waterlevel_w.csv rename to SurgeData/833-waterlevel_w.csv diff --git a/SurgeData/N=1000/834-peak+year_c.csv b/SurgeData/834-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/834-peak+year_c.csv rename to SurgeData/834-peak+year_c.csv diff --git a/SurgeData/N=1000/834-peak+year_w.csv b/SurgeData/834-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/834-peak+year_w.csv rename to SurgeData/834-peak+year_w.csv diff --git a/SurgeData/N=1000/834-peak_c.csv b/SurgeData/834-peak_c.csv similarity index 100% rename from SurgeData/N=1000/834-peak_c.csv rename to SurgeData/834-peak_c.csv diff --git a/SurgeData/N=1000/834-peak_w.csv b/SurgeData/834-peak_w.csv similarity index 100% rename from SurgeData/N=1000/834-peak_w.csv rename to SurgeData/834-peak_w.csv diff --git a/SurgeData/N=1000/834-surge_c.csv b/SurgeData/834-surge_c.csv similarity index 100% rename from SurgeData/N=1000/834-surge_c.csv rename to SurgeData/834-surge_c.csv diff --git a/SurgeData/N=1000/834-surge_w.csv b/SurgeData/834-surge_w.csv similarity index 100% rename from SurgeData/N=1000/834-surge_w.csv rename to SurgeData/834-surge_w.csv diff --git a/SurgeData/N=1000/834-time_c.csv b/SurgeData/834-time_c.csv similarity index 100% rename from SurgeData/N=1000/834-time_c.csv rename to SurgeData/834-time_c.csv diff --git a/SurgeData/N=1000/834-time_w.csv b/SurgeData/834-time_w.csv similarity index 100% rename from SurgeData/N=1000/834-time_w.csv rename to SurgeData/834-time_w.csv diff --git a/SurgeData/N=1000/834-waterlevel_c.csv b/SurgeData/834-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/834-waterlevel_c.csv rename to SurgeData/834-waterlevel_c.csv diff --git a/SurgeData/N=1000/834-waterlevel_w.csv b/SurgeData/834-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/834-waterlevel_w.csv rename to SurgeData/834-waterlevel_w.csv diff --git a/SurgeData/835-num_storm.csv b/SurgeData/835-num_storm.csv new file mode 100644 index 00000000..f921a954 --- /dev/null +++ b/SurgeData/835-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,2.0,6.0 +2022,1.0,0.0 +2023,1.0,5.0 +2024,2.0,7.0 +2025,3.0,5.0 +2026,2.0,2.0 +2027,1.0,6.0 +2028,3.0,5.0 +2029,0.0,12.0 +2030,1.0,6.0 +2031,1.0,4.0 +2032,1.0,5.0 +2033,1.0,4.0 +2034,1.0,4.0 +2035,1.0,10.0 +2036,1.0,3.0 +2037,3.0,4.0 +2038,3.0,3.0 +2039,1.0,2.0 +2040,2.0,4.0 +2041,2.0,7.0 +2042,1.0,3.0 +2043,1.0,2.0 +2044,1.0,3.0 +2045,2.0,4.0 +2046,1.0,7.0 +2047,0.0,5.0 +2048,2.0,3.0 +2049,2.0,3.0 +2050,1.0,4.0 +2051,1.0,6.0 +2052,1.0,5.0 +2053,1.0,1.0 +2054,0.0,8.0 +2055,5.0,2.0 +2056,1.0,7.0 +2057,0.0,2.0 +2058,2.0,1.0 +2059,1.0,2.0 +2060,5.0,3.0 +2061,3.0,6.0 +2062,0.0,0.0 +2063,2.0,1.0 +2064,0.0,4.0 +2065,1.0,4.0 +2066,3.0,4.0 +2067,0.0,5.0 +2068,0.0,4.0 +2069,4.0,4.0 +2070,2.0,5.0 +2071,0.0,7.0 +2072,1.0,4.0 +2073,1.0,6.0 +2074,1.0,3.0 +2075,1.0,3.0 +2076,3.0,5.0 +2077,1.0,6.0 +2078,0.0,4.0 +2079,2.0,6.0 +2080,0.0,6.0 +2081,4.0,1.0 +2082,2.0,7.0 +2083,4.0,4.0 +2084,3.0,5.0 +2085,4.0,4.0 +2086,1.0,5.0 +2087,1.0,3.0 +2088,3.0,3.0 +2089,2.0,7.0 +2090,2.0,9.0 +2091,1.0,6.0 +2092,3.0,9.0 +2093,1.0,3.0 +2094,1.0,3.0 +2095,0.0,8.0 +2096,0.0,0.0 +2097,3.0,1.0 +2098,1.0,1.0 +2099,1.0,3.0 +2100,3.0,7.0 diff --git a/SurgeData/N=1000/835-peak+year_c.csv b/SurgeData/835-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/835-peak+year_c.csv rename to SurgeData/835-peak+year_c.csv diff --git a/SurgeData/N=1000/835-peak+year_w.csv b/SurgeData/835-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/835-peak+year_w.csv rename to SurgeData/835-peak+year_w.csv diff --git a/SurgeData/N=1000/835-peak_c.csv b/SurgeData/835-peak_c.csv similarity index 100% rename from SurgeData/N=1000/835-peak_c.csv rename to SurgeData/835-peak_c.csv diff --git a/SurgeData/N=1000/835-peak_w.csv b/SurgeData/835-peak_w.csv similarity index 100% rename from SurgeData/N=1000/835-peak_w.csv rename to SurgeData/835-peak_w.csv diff --git a/SurgeData/N=1000/835-surge_c.csv b/SurgeData/835-surge_c.csv similarity index 100% rename from SurgeData/N=1000/835-surge_c.csv rename to SurgeData/835-surge_c.csv diff --git a/SurgeData/N=1000/835-surge_w.csv b/SurgeData/835-surge_w.csv similarity index 100% rename from SurgeData/N=1000/835-surge_w.csv rename to SurgeData/835-surge_w.csv diff --git a/SurgeData/N=1000/835-time_c.csv b/SurgeData/835-time_c.csv similarity index 100% rename from SurgeData/N=1000/835-time_c.csv rename to SurgeData/835-time_c.csv diff --git a/SurgeData/N=1000/835-time_w.csv b/SurgeData/835-time_w.csv similarity index 100% rename from SurgeData/N=1000/835-time_w.csv rename to SurgeData/835-time_w.csv diff --git a/SurgeData/N=1000/835-waterlevel_c.csv b/SurgeData/835-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/835-waterlevel_c.csv rename to SurgeData/835-waterlevel_c.csv diff --git a/SurgeData/N=1000/835-waterlevel_w.csv b/SurgeData/835-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/835-waterlevel_w.csv rename to SurgeData/835-waterlevel_w.csv diff --git a/SurgeData/836-num_storm.csv b/SurgeData/836-num_storm.csv new file mode 100644 index 00000000..863489f9 --- /dev/null +++ b/SurgeData/836-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,1.0,5.0 +2022,3.0,2.0 +2023,2.0,12.0 +2024,0.0,5.0 +2025,0.0,5.0 +2026,0.0,6.0 +2027,3.0,5.0 +2028,3.0,6.0 +2029,3.0,3.0 +2030,3.0,7.0 +2031,0.0,5.0 +2032,2.0,3.0 +2033,2.0,4.0 +2034,3.0,6.0 +2035,0.0,2.0 +2036,1.0,2.0 +2037,2.0,3.0 +2038,1.0,4.0 +2039,1.0,5.0 +2040,2.0,3.0 +2041,1.0,4.0 +2042,0.0,2.0 +2043,4.0,5.0 +2044,1.0,1.0 +2045,0.0,7.0 +2046,3.0,3.0 +2047,3.0,3.0 +2048,2.0,5.0 +2049,4.0,4.0 +2050,1.0,6.0 +2051,2.0,5.0 +2052,3.0,5.0 +2053,2.0,11.0 +2054,1.0,7.0 +2055,2.0,1.0 +2056,0.0,5.0 +2057,2.0,2.0 +2058,0.0,6.0 +2059,2.0,8.0 +2060,3.0,4.0 +2061,2.0,10.0 +2062,2.0,3.0 +2063,2.0,3.0 +2064,1.0,4.0 +2065,3.0,6.0 +2066,4.0,2.0 +2067,0.0,3.0 +2068,1.0,3.0 +2069,4.0,3.0 +2070,2.0,4.0 +2071,0.0,4.0 +2072,1.0,6.0 +2073,1.0,7.0 +2074,2.0,6.0 +2075,3.0,6.0 +2076,4.0,4.0 +2077,3.0,5.0 +2078,2.0,4.0 +2079,2.0,7.0 +2080,0.0,6.0 +2081,0.0,7.0 +2082,0.0,1.0 +2083,1.0,10.0 +2084,0.0,5.0 +2085,0.0,3.0 +2086,0.0,3.0 +2087,1.0,1.0 +2088,0.0,4.0 +2089,1.0,7.0 +2090,2.0,5.0 +2091,1.0,4.0 +2092,1.0,6.0 +2093,0.0,4.0 +2094,1.0,9.0 +2095,3.0,5.0 +2096,1.0,4.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,5.0,3.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/836-peak+year_c.csv b/SurgeData/836-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/836-peak+year_c.csv rename to SurgeData/836-peak+year_c.csv diff --git a/SurgeData/N=1000/836-peak+year_w.csv b/SurgeData/836-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/836-peak+year_w.csv rename to SurgeData/836-peak+year_w.csv diff --git a/SurgeData/N=1000/836-peak_c.csv b/SurgeData/836-peak_c.csv similarity index 100% rename from SurgeData/N=1000/836-peak_c.csv rename to SurgeData/836-peak_c.csv diff --git a/SurgeData/N=1000/836-peak_w.csv b/SurgeData/836-peak_w.csv similarity index 100% rename from SurgeData/N=1000/836-peak_w.csv rename to SurgeData/836-peak_w.csv diff --git a/SurgeData/N=1000/836-surge_c.csv b/SurgeData/836-surge_c.csv similarity index 100% rename from SurgeData/N=1000/836-surge_c.csv rename to SurgeData/836-surge_c.csv diff --git a/SurgeData/N=1000/836-surge_w.csv b/SurgeData/836-surge_w.csv similarity index 100% rename from SurgeData/N=1000/836-surge_w.csv rename to SurgeData/836-surge_w.csv diff --git a/SurgeData/N=1000/836-time_c.csv b/SurgeData/836-time_c.csv similarity index 100% rename from SurgeData/N=1000/836-time_c.csv rename to SurgeData/836-time_c.csv diff --git a/SurgeData/N=1000/836-time_w.csv b/SurgeData/836-time_w.csv similarity index 100% rename from SurgeData/N=1000/836-time_w.csv rename to SurgeData/836-time_w.csv diff --git a/SurgeData/N=1000/836-waterlevel_c.csv b/SurgeData/836-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/836-waterlevel_c.csv rename to SurgeData/836-waterlevel_c.csv diff --git a/SurgeData/N=1000/836-waterlevel_w.csv b/SurgeData/836-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/836-waterlevel_w.csv rename to SurgeData/836-waterlevel_w.csv diff --git a/SurgeData/837-num_storm.csv b/SurgeData/837-num_storm.csv new file mode 100644 index 00000000..d7fc881a --- /dev/null +++ b/SurgeData/837-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,8.0 +2022,3.0,4.0 +2023,2.0,5.0 +2024,1.0,4.0 +2025,4.0,4.0 +2026,1.0,2.0 +2027,0.0,4.0 +2028,0.0,3.0 +2029,0.0,3.0 +2030,2.0,7.0 +2031,4.0,2.0 +2032,1.0,5.0 +2033,0.0,8.0 +2034,2.0,4.0 +2035,1.0,4.0 +2036,0.0,1.0 +2037,2.0,2.0 +2038,1.0,2.0 +2039,1.0,4.0 +2040,4.0,6.0 +2041,1.0,4.0 +2042,2.0,1.0 +2043,2.0,4.0 +2044,1.0,5.0 +2045,1.0,3.0 +2046,3.0,8.0 +2047,2.0,1.0 +2048,2.0,6.0 +2049,1.0,7.0 +2050,2.0,5.0 +2051,0.0,5.0 +2052,5.0,3.0 +2053,0.0,4.0 +2054,3.0,4.0 +2055,4.0,4.0 +2056,0.0,5.0 +2057,2.0,5.0 +2058,2.0,4.0 +2059,0.0,4.0 +2060,1.0,3.0 +2061,2.0,3.0 +2062,2.0,3.0 +2063,1.0,3.0 +2064,2.0,4.0 +2065,0.0,3.0 +2066,0.0,8.0 +2067,4.0,6.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,2.0,3.0 +2071,0.0,3.0 +2072,1.0,3.0 +2073,1.0,6.0 +2074,2.0,1.0 +2075,1.0,2.0 +2076,1.0,4.0 +2077,1.0,6.0 +2078,1.0,4.0 +2079,0.0,5.0 +2080,1.0,5.0 +2081,2.0,6.0 +2082,1.0,2.0 +2083,2.0,6.0 +2084,1.0,5.0 +2085,4.0,2.0 +2086,0.0,1.0 +2087,3.0,4.0 +2088,3.0,6.0 +2089,1.0,3.0 +2090,2.0,4.0 +2091,3.0,3.0 +2092,0.0,5.0 +2093,6.0,4.0 +2094,1.0,6.0 +2095,3.0,7.0 +2096,3.0,2.0 +2097,1.0,4.0 +2098,0.0,4.0 +2099,1.0,4.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/837-peak+year_c.csv b/SurgeData/837-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/837-peak+year_c.csv rename to SurgeData/837-peak+year_c.csv diff --git a/SurgeData/N=1000/837-peak+year_w.csv b/SurgeData/837-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/837-peak+year_w.csv rename to SurgeData/837-peak+year_w.csv diff --git a/SurgeData/N=1000/837-peak_c.csv b/SurgeData/837-peak_c.csv similarity index 100% rename from SurgeData/N=1000/837-peak_c.csv rename to SurgeData/837-peak_c.csv diff --git a/SurgeData/N=1000/837-peak_w.csv b/SurgeData/837-peak_w.csv similarity index 100% rename from SurgeData/N=1000/837-peak_w.csv rename to SurgeData/837-peak_w.csv diff --git a/SurgeData/N=1000/837-surge_c.csv b/SurgeData/837-surge_c.csv similarity index 100% rename from SurgeData/N=1000/837-surge_c.csv rename to SurgeData/837-surge_c.csv diff --git a/SurgeData/N=1000/837-surge_w.csv b/SurgeData/837-surge_w.csv similarity index 100% rename from SurgeData/N=1000/837-surge_w.csv rename to SurgeData/837-surge_w.csv diff --git a/SurgeData/N=1000/837-time_c.csv b/SurgeData/837-time_c.csv similarity index 100% rename from SurgeData/N=1000/837-time_c.csv rename to SurgeData/837-time_c.csv diff --git a/SurgeData/N=1000/837-time_w.csv b/SurgeData/837-time_w.csv similarity index 100% rename from SurgeData/N=1000/837-time_w.csv rename to SurgeData/837-time_w.csv diff --git a/SurgeData/N=1000/837-waterlevel_c.csv b/SurgeData/837-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/837-waterlevel_c.csv rename to SurgeData/837-waterlevel_c.csv diff --git a/SurgeData/N=1000/837-waterlevel_w.csv b/SurgeData/837-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/837-waterlevel_w.csv rename to SurgeData/837-waterlevel_w.csv diff --git a/SurgeData/838-num_storm.csv b/SurgeData/838-num_storm.csv new file mode 100644 index 00000000..66c4e315 --- /dev/null +++ b/SurgeData/838-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,1.0,3.0 +2022,0.0,0.0 +2023,4.0,7.0 +2024,0.0,4.0 +2025,2.0,5.0 +2026,2.0,3.0 +2027,2.0,3.0 +2028,1.0,5.0 +2029,1.0,4.0 +2030,1.0,3.0 +2031,2.0,5.0 +2032,0.0,5.0 +2033,2.0,3.0 +2034,2.0,4.0 +2035,2.0,4.0 +2036,1.0,2.0 +2037,3.0,5.0 +2038,3.0,3.0 +2039,0.0,1.0 +2040,0.0,5.0 +2041,2.0,2.0 +2042,1.0,5.0 +2043,0.0,5.0 +2044,0.0,1.0 +2045,1.0,6.0 +2046,0.0,3.0 +2047,2.0,5.0 +2048,3.0,1.0 +2049,2.0,3.0 +2050,2.0,3.0 +2051,1.0,4.0 +2052,1.0,10.0 +2053,2.0,6.0 +2054,1.0,7.0 +2055,2.0,6.0 +2056,0.0,2.0 +2057,0.0,4.0 +2058,0.0,6.0 +2059,2.0,2.0 +2060,3.0,3.0 +2061,2.0,2.0 +2062,1.0,6.0 +2063,0.0,3.0 +2064,3.0,4.0 +2065,1.0,3.0 +2066,0.0,2.0 +2067,2.0,4.0 +2068,1.0,5.0 +2069,3.0,2.0 +2070,0.0,6.0 +2071,3.0,4.0 +2072,0.0,8.0 +2073,1.0,2.0 +2074,2.0,3.0 +2075,5.0,7.0 +2076,0.0,5.0 +2077,0.0,4.0 +2078,1.0,4.0 +2079,0.0,4.0 +2080,2.0,0.0 +2081,2.0,3.0 +2082,1.0,3.0 +2083,0.0,1.0 +2084,1.0,5.0 +2085,1.0,6.0 +2086,2.0,4.0 +2087,4.0,4.0 +2088,2.0,2.0 +2089,3.0,3.0 +2090,1.0,4.0 +2091,3.0,2.0 +2092,1.0,0.0 +2093,4.0,6.0 +2094,2.0,2.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,2.0,5.0 +2098,1.0,0.0 +2099,2.0,7.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/838-peak+year_c.csv b/SurgeData/838-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/838-peak+year_c.csv rename to SurgeData/838-peak+year_c.csv diff --git a/SurgeData/N=1000/838-peak+year_w.csv b/SurgeData/838-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/838-peak+year_w.csv rename to SurgeData/838-peak+year_w.csv diff --git a/SurgeData/N=1000/838-peak_c.csv b/SurgeData/838-peak_c.csv similarity index 100% rename from SurgeData/N=1000/838-peak_c.csv rename to SurgeData/838-peak_c.csv diff --git a/SurgeData/N=1000/838-peak_w.csv b/SurgeData/838-peak_w.csv similarity index 100% rename from SurgeData/N=1000/838-peak_w.csv rename to SurgeData/838-peak_w.csv diff --git a/SurgeData/N=1000/838-surge_c.csv b/SurgeData/838-surge_c.csv similarity index 100% rename from SurgeData/N=1000/838-surge_c.csv rename to SurgeData/838-surge_c.csv diff --git a/SurgeData/N=1000/838-surge_w.csv b/SurgeData/838-surge_w.csv similarity index 100% rename from SurgeData/N=1000/838-surge_w.csv rename to SurgeData/838-surge_w.csv diff --git a/SurgeData/N=1000/838-time_c.csv b/SurgeData/838-time_c.csv similarity index 100% rename from SurgeData/N=1000/838-time_c.csv rename to SurgeData/838-time_c.csv diff --git a/SurgeData/N=1000/838-time_w.csv b/SurgeData/838-time_w.csv similarity index 100% rename from SurgeData/N=1000/838-time_w.csv rename to SurgeData/838-time_w.csv diff --git a/SurgeData/N=1000/838-waterlevel_c.csv b/SurgeData/838-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/838-waterlevel_c.csv rename to SurgeData/838-waterlevel_c.csv diff --git a/SurgeData/N=1000/838-waterlevel_w.csv b/SurgeData/838-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/838-waterlevel_w.csv rename to SurgeData/838-waterlevel_w.csv diff --git a/SurgeData/839-num_storm.csv b/SurgeData/839-num_storm.csv new file mode 100644 index 00000000..2a77902f --- /dev/null +++ b/SurgeData/839-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,3.0 +2022,1.0,6.0 +2023,1.0,6.0 +2024,0.0,1.0 +2025,1.0,5.0 +2026,1.0,2.0 +2027,2.0,4.0 +2028,1.0,5.0 +2029,2.0,5.0 +2030,5.0,4.0 +2031,2.0,9.0 +2032,2.0,10.0 +2033,2.0,1.0 +2034,3.0,5.0 +2035,0.0,3.0 +2036,2.0,2.0 +2037,1.0,5.0 +2038,2.0,5.0 +2039,2.0,2.0 +2040,4.0,4.0 +2041,3.0,7.0 +2042,1.0,2.0 +2043,0.0,6.0 +2044,1.0,4.0 +2045,1.0,4.0 +2046,6.0,5.0 +2047,1.0,5.0 +2048,2.0,4.0 +2049,1.0,7.0 +2050,2.0,4.0 +2051,3.0,4.0 +2052,1.0,4.0 +2053,6.0,3.0 +2054,3.0,2.0 +2055,2.0,5.0 +2056,1.0,5.0 +2057,0.0,5.0 +2058,4.0,4.0 +2059,2.0,4.0 +2060,2.0,2.0 +2061,0.0,5.0 +2062,1.0,4.0 +2063,2.0,3.0 +2064,2.0,3.0 +2065,2.0,6.0 +2066,2.0,2.0 +2067,1.0,2.0 +2068,3.0,3.0 +2069,0.0,7.0 +2070,2.0,7.0 +2071,0.0,7.0 +2072,3.0,5.0 +2073,1.0,4.0 +2074,2.0,7.0 +2075,0.0,3.0 +2076,2.0,3.0 +2077,2.0,4.0 +2078,2.0,2.0 +2079,1.0,3.0 +2080,1.0,6.0 +2081,1.0,5.0 +2082,1.0,3.0 +2083,4.0,4.0 +2084,1.0,2.0 +2085,2.0,7.0 +2086,3.0,3.0 +2087,4.0,5.0 +2088,0.0,2.0 +2089,0.0,11.0 +2090,1.0,4.0 +2091,4.0,5.0 +2092,4.0,4.0 +2093,2.0,2.0 +2094,0.0,5.0 +2095,2.0,7.0 +2096,3.0,2.0 +2097,0.0,2.0 +2098,1.0,4.0 +2099,1.0,4.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/839-peak+year_c.csv b/SurgeData/839-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/839-peak+year_c.csv rename to SurgeData/839-peak+year_c.csv diff --git a/SurgeData/N=1000/839-peak+year_w.csv b/SurgeData/839-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/839-peak+year_w.csv rename to SurgeData/839-peak+year_w.csv diff --git a/SurgeData/N=1000/839-peak_c.csv b/SurgeData/839-peak_c.csv similarity index 100% rename from SurgeData/N=1000/839-peak_c.csv rename to SurgeData/839-peak_c.csv diff --git a/SurgeData/N=1000/839-peak_w.csv b/SurgeData/839-peak_w.csv similarity index 100% rename from SurgeData/N=1000/839-peak_w.csv rename to SurgeData/839-peak_w.csv diff --git a/SurgeData/N=1000/839-surge_c.csv b/SurgeData/839-surge_c.csv similarity index 100% rename from SurgeData/N=1000/839-surge_c.csv rename to SurgeData/839-surge_c.csv diff --git a/SurgeData/N=1000/839-surge_w.csv b/SurgeData/839-surge_w.csv similarity index 100% rename from SurgeData/N=1000/839-surge_w.csv rename to SurgeData/839-surge_w.csv diff --git a/SurgeData/N=1000/839-time_c.csv b/SurgeData/839-time_c.csv similarity index 100% rename from SurgeData/N=1000/839-time_c.csv rename to SurgeData/839-time_c.csv diff --git a/SurgeData/N=1000/839-time_w.csv b/SurgeData/839-time_w.csv similarity index 100% rename from SurgeData/N=1000/839-time_w.csv rename to SurgeData/839-time_w.csv diff --git a/SurgeData/N=1000/839-waterlevel_c.csv b/SurgeData/839-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/839-waterlevel_c.csv rename to SurgeData/839-waterlevel_c.csv diff --git a/SurgeData/N=1000/839-waterlevel_w.csv b/SurgeData/839-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/839-waterlevel_w.csv rename to SurgeData/839-waterlevel_w.csv diff --git a/SurgeData/84-num_storm.csv b/SurgeData/84-num_storm.csv new file mode 100644 index 00000000..7adcd51a --- /dev/null +++ b/SurgeData/84-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,2.0 +2022,2.0,2.0 +2023,0.0,2.0 +2024,1.0,4.0 +2025,0.0,7.0 +2026,0.0,2.0 +2027,3.0,5.0 +2028,1.0,4.0 +2029,0.0,4.0 +2030,2.0,7.0 +2031,2.0,1.0 +2032,1.0,3.0 +2033,1.0,0.0 +2034,2.0,4.0 +2035,0.0,6.0 +2036,2.0,4.0 +2037,3.0,5.0 +2038,2.0,5.0 +2039,1.0,9.0 +2040,2.0,5.0 +2041,1.0,5.0 +2042,0.0,5.0 +2043,1.0,3.0 +2044,2.0,5.0 +2045,1.0,6.0 +2046,1.0,3.0 +2047,2.0,4.0 +2048,1.0,5.0 +2049,1.0,2.0 +2050,1.0,2.0 +2051,2.0,5.0 +2052,2.0,5.0 +2053,0.0,3.0 +2054,0.0,2.0 +2055,0.0,3.0 +2056,2.0,4.0 +2057,5.0,7.0 +2058,0.0,3.0 +2059,1.0,1.0 +2060,1.0,2.0 +2061,1.0,1.0 +2062,2.0,2.0 +2063,1.0,1.0 +2064,0.0,6.0 +2065,2.0,4.0 +2066,0.0,7.0 +2067,0.0,3.0 +2068,5.0,4.0 +2069,3.0,4.0 +2070,1.0,3.0 +2071,1.0,2.0 +2072,2.0,4.0 +2073,2.0,2.0 +2074,0.0,11.0 +2075,2.0,6.0 +2076,0.0,10.0 +2077,1.0,3.0 +2078,0.0,7.0 +2079,0.0,5.0 +2080,2.0,2.0 +2081,2.0,7.0 +2082,3.0,3.0 +2083,4.0,1.0 +2084,4.0,6.0 +2085,1.0,6.0 +2086,1.0,5.0 +2087,0.0,2.0 +2088,2.0,0.0 +2089,1.0,3.0 +2090,3.0,1.0 +2091,1.0,4.0 +2092,1.0,6.0 +2093,2.0,5.0 +2094,1.0,2.0 +2095,2.0,4.0 +2096,2.0,5.0 +2097,2.0,5.0 +2098,2.0,2.0 +2099,0.0,7.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/84-peak+year_c.csv b/SurgeData/84-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/84-peak+year_c.csv rename to SurgeData/84-peak+year_c.csv diff --git a/SurgeData/N=1000/84-peak+year_w.csv b/SurgeData/84-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/84-peak+year_w.csv rename to SurgeData/84-peak+year_w.csv diff --git a/SurgeData/N=1000/84-peak_c.csv b/SurgeData/84-peak_c.csv similarity index 100% rename from SurgeData/N=1000/84-peak_c.csv rename to SurgeData/84-peak_c.csv diff --git a/SurgeData/N=1000/84-peak_w.csv b/SurgeData/84-peak_w.csv similarity index 100% rename from SurgeData/N=1000/84-peak_w.csv rename to SurgeData/84-peak_w.csv diff --git a/SurgeData/N=1000/84-surge_c.csv b/SurgeData/84-surge_c.csv similarity index 100% rename from SurgeData/N=1000/84-surge_c.csv rename to SurgeData/84-surge_c.csv diff --git a/SurgeData/N=1000/84-surge_w.csv b/SurgeData/84-surge_w.csv similarity index 100% rename from SurgeData/N=1000/84-surge_w.csv rename to SurgeData/84-surge_w.csv diff --git a/SurgeData/N=1000/84-time_c.csv b/SurgeData/84-time_c.csv similarity index 100% rename from SurgeData/N=1000/84-time_c.csv rename to SurgeData/84-time_c.csv diff --git a/SurgeData/N=1000/84-time_w.csv b/SurgeData/84-time_w.csv similarity index 100% rename from SurgeData/N=1000/84-time_w.csv rename to SurgeData/84-time_w.csv diff --git a/SurgeData/N=1000/84-waterlevel_c.csv b/SurgeData/84-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/84-waterlevel_c.csv rename to SurgeData/84-waterlevel_c.csv diff --git a/SurgeData/N=1000/84-waterlevel_w.csv b/SurgeData/84-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/84-waterlevel_w.csv rename to SurgeData/84-waterlevel_w.csv diff --git a/SurgeData/840-num_storm.csv b/SurgeData/840-num_storm.csv new file mode 100644 index 00000000..f4e32a52 --- /dev/null +++ b/SurgeData/840-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,4.0 +2022,1.0,2.0 +2023,3.0,3.0 +2024,1.0,3.0 +2025,0.0,2.0 +2026,0.0,3.0 +2027,0.0,7.0 +2028,1.0,6.0 +2029,1.0,5.0 +2030,3.0,2.0 +2031,4.0,4.0 +2032,1.0,9.0 +2033,1.0,0.0 +2034,2.0,4.0 +2035,0.0,3.0 +2036,1.0,5.0 +2037,3.0,3.0 +2038,2.0,2.0 +2039,3.0,4.0 +2040,2.0,4.0 +2041,1.0,1.0 +2042,2.0,1.0 +2043,2.0,2.0 +2044,3.0,5.0 +2045,6.0,8.0 +2046,1.0,3.0 +2047,1.0,5.0 +2048,0.0,4.0 +2049,2.0,7.0 +2050,1.0,2.0 +2051,0.0,2.0 +2052,1.0,9.0 +2053,1.0,6.0 +2054,0.0,8.0 +2055,0.0,1.0 +2056,1.0,4.0 +2057,0.0,3.0 +2058,3.0,6.0 +2059,2.0,6.0 +2060,2.0,0.0 +2061,5.0,2.0 +2062,3.0,6.0 +2063,2.0,7.0 +2064,1.0,4.0 +2065,1.0,1.0 +2066,2.0,2.0 +2067,1.0,4.0 +2068,2.0,6.0 +2069,1.0,4.0 +2070,5.0,1.0 +2071,0.0,4.0 +2072,1.0,2.0 +2073,2.0,6.0 +2074,2.0,2.0 +2075,1.0,3.0 +2076,1.0,3.0 +2077,0.0,1.0 +2078,1.0,2.0 +2079,0.0,3.0 +2080,1.0,6.0 +2081,0.0,4.0 +2082,3.0,2.0 +2083,3.0,6.0 +2084,4.0,6.0 +2085,2.0,4.0 +2086,1.0,2.0 +2087,1.0,4.0 +2088,1.0,1.0 +2089,0.0,5.0 +2090,0.0,6.0 +2091,3.0,3.0 +2092,1.0,5.0 +2093,2.0,5.0 +2094,1.0,5.0 +2095,1.0,2.0 +2096,4.0,5.0 +2097,1.0,3.0 +2098,4.0,4.0 +2099,2.0,1.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/840-peak+year_c.csv b/SurgeData/840-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/840-peak+year_c.csv rename to SurgeData/840-peak+year_c.csv diff --git a/SurgeData/N=1000/840-peak+year_w.csv b/SurgeData/840-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/840-peak+year_w.csv rename to SurgeData/840-peak+year_w.csv diff --git a/SurgeData/N=1000/840-peak_c.csv b/SurgeData/840-peak_c.csv similarity index 100% rename from SurgeData/N=1000/840-peak_c.csv rename to SurgeData/840-peak_c.csv diff --git a/SurgeData/N=1000/840-peak_w.csv b/SurgeData/840-peak_w.csv similarity index 100% rename from SurgeData/N=1000/840-peak_w.csv rename to SurgeData/840-peak_w.csv diff --git a/SurgeData/N=1000/840-surge_c.csv b/SurgeData/840-surge_c.csv similarity index 100% rename from SurgeData/N=1000/840-surge_c.csv rename to SurgeData/840-surge_c.csv diff --git a/SurgeData/N=1000/840-surge_w.csv b/SurgeData/840-surge_w.csv similarity index 100% rename from SurgeData/N=1000/840-surge_w.csv rename to SurgeData/840-surge_w.csv diff --git a/SurgeData/N=1000/840-time_c.csv b/SurgeData/840-time_c.csv similarity index 100% rename from SurgeData/N=1000/840-time_c.csv rename to SurgeData/840-time_c.csv diff --git a/SurgeData/N=1000/840-time_w.csv b/SurgeData/840-time_w.csv similarity index 100% rename from SurgeData/N=1000/840-time_w.csv rename to SurgeData/840-time_w.csv diff --git a/SurgeData/N=1000/840-waterlevel_c.csv b/SurgeData/840-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/840-waterlevel_c.csv rename to SurgeData/840-waterlevel_c.csv diff --git a/SurgeData/N=1000/840-waterlevel_w.csv b/SurgeData/840-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/840-waterlevel_w.csv rename to SurgeData/840-waterlevel_w.csv diff --git a/SurgeData/841-num_storm.csv b/SurgeData/841-num_storm.csv new file mode 100644 index 00000000..b31c3dac --- /dev/null +++ b/SurgeData/841-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,5.0 +2022,1.0,2.0 +2023,9.0,5.0 +2024,1.0,5.0 +2025,2.0,1.0 +2026,0.0,1.0 +2027,4.0,5.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,1.0,5.0 +2031,2.0,2.0 +2032,2.0,1.0 +2033,3.0,0.0 +2034,2.0,6.0 +2035,1.0,5.0 +2036,3.0,2.0 +2037,3.0,0.0 +2038,0.0,3.0 +2039,1.0,9.0 +2040,0.0,4.0 +2041,1.0,2.0 +2042,2.0,2.0 +2043,0.0,5.0 +2044,3.0,1.0 +2045,1.0,7.0 +2046,2.0,6.0 +2047,3.0,3.0 +2048,3.0,2.0 +2049,2.0,2.0 +2050,1.0,4.0 +2051,2.0,5.0 +2052,1.0,3.0 +2053,2.0,4.0 +2054,1.0,2.0 +2055,2.0,3.0 +2056,2.0,8.0 +2057,2.0,6.0 +2058,3.0,5.0 +2059,1.0,3.0 +2060,2.0,6.0 +2061,1.0,4.0 +2062,2.0,7.0 +2063,1.0,3.0 +2064,0.0,1.0 +2065,2.0,4.0 +2066,0.0,2.0 +2067,3.0,4.0 +2068,1.0,3.0 +2069,1.0,3.0 +2070,0.0,2.0 +2071,0.0,3.0 +2072,4.0,1.0 +2073,1.0,3.0 +2074,1.0,1.0 +2075,1.0,2.0 +2076,0.0,5.0 +2077,0.0,6.0 +2078,0.0,4.0 +2079,2.0,3.0 +2080,3.0,4.0 +2081,4.0,4.0 +2082,0.0,4.0 +2083,2.0,4.0 +2084,0.0,4.0 +2085,1.0,7.0 +2086,1.0,1.0 +2087,1.0,5.0 +2088,0.0,2.0 +2089,1.0,7.0 +2090,0.0,5.0 +2091,3.0,4.0 +2092,1.0,2.0 +2093,2.0,4.0 +2094,2.0,7.0 +2095,5.0,3.0 +2096,0.0,1.0 +2097,1.0,5.0 +2098,2.0,3.0 +2099,2.0,3.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/841-peak+year_c.csv b/SurgeData/841-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/841-peak+year_c.csv rename to SurgeData/841-peak+year_c.csv diff --git a/SurgeData/N=1000/841-peak+year_w.csv b/SurgeData/841-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/841-peak+year_w.csv rename to SurgeData/841-peak+year_w.csv diff --git a/SurgeData/N=1000/841-peak_c.csv b/SurgeData/841-peak_c.csv similarity index 100% rename from SurgeData/N=1000/841-peak_c.csv rename to SurgeData/841-peak_c.csv diff --git a/SurgeData/N=1000/841-peak_w.csv b/SurgeData/841-peak_w.csv similarity index 100% rename from SurgeData/N=1000/841-peak_w.csv rename to SurgeData/841-peak_w.csv diff --git a/SurgeData/N=1000/841-surge_c.csv b/SurgeData/841-surge_c.csv similarity index 100% rename from SurgeData/N=1000/841-surge_c.csv rename to SurgeData/841-surge_c.csv diff --git a/SurgeData/N=1000/841-surge_w.csv b/SurgeData/841-surge_w.csv similarity index 100% rename from SurgeData/N=1000/841-surge_w.csv rename to SurgeData/841-surge_w.csv diff --git a/SurgeData/N=1000/841-time_c.csv b/SurgeData/841-time_c.csv similarity index 100% rename from SurgeData/N=1000/841-time_c.csv rename to SurgeData/841-time_c.csv diff --git a/SurgeData/N=1000/841-time_w.csv b/SurgeData/841-time_w.csv similarity index 100% rename from SurgeData/N=1000/841-time_w.csv rename to SurgeData/841-time_w.csv diff --git a/SurgeData/N=1000/841-waterlevel_c.csv b/SurgeData/841-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/841-waterlevel_c.csv rename to SurgeData/841-waterlevel_c.csv diff --git a/SurgeData/N=1000/841-waterlevel_w.csv b/SurgeData/841-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/841-waterlevel_w.csv rename to SurgeData/841-waterlevel_w.csv diff --git a/SurgeData/842-num_storm.csv b/SurgeData/842-num_storm.csv new file mode 100644 index 00000000..f9dae269 --- /dev/null +++ b/SurgeData/842-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,2.0 +2022,1.0,7.0 +2023,1.0,5.0 +2024,0.0,6.0 +2025,2.0,7.0 +2026,1.0,7.0 +2027,1.0,2.0 +2028,1.0,5.0 +2029,2.0,6.0 +2030,1.0,7.0 +2031,2.0,4.0 +2032,3.0,3.0 +2033,0.0,2.0 +2034,1.0,2.0 +2035,0.0,7.0 +2036,0.0,9.0 +2037,2.0,4.0 +2038,2.0,4.0 +2039,1.0,1.0 +2040,5.0,3.0 +2041,2.0,7.0 +2042,2.0,2.0 +2043,0.0,3.0 +2044,1.0,2.0 +2045,1.0,6.0 +2046,4.0,3.0 +2047,1.0,6.0 +2048,3.0,6.0 +2049,1.0,4.0 +2050,1.0,7.0 +2051,1.0,3.0 +2052,3.0,7.0 +2053,0.0,6.0 +2054,5.0,1.0 +2055,1.0,4.0 +2056,3.0,1.0 +2057,5.0,2.0 +2058,0.0,5.0 +2059,1.0,5.0 +2060,2.0,5.0 +2061,1.0,5.0 +2062,4.0,5.0 +2063,1.0,6.0 +2064,0.0,6.0 +2065,1.0,2.0 +2066,2.0,4.0 +2067,0.0,4.0 +2068,1.0,4.0 +2069,2.0,3.0 +2070,0.0,5.0 +2071,6.0,3.0 +2072,0.0,1.0 +2073,1.0,1.0 +2074,0.0,3.0 +2075,3.0,4.0 +2076,2.0,0.0 +2077,0.0,6.0 +2078,2.0,4.0 +2079,1.0,4.0 +2080,1.0,2.0 +2081,1.0,7.0 +2082,0.0,1.0 +2083,1.0,0.0 +2084,3.0,6.0 +2085,2.0,4.0 +2086,3.0,8.0 +2087,1.0,3.0 +2088,0.0,4.0 +2089,1.0,4.0 +2090,2.0,4.0 +2091,3.0,2.0 +2092,2.0,5.0 +2093,2.0,2.0 +2094,2.0,5.0 +2095,4.0,7.0 +2096,2.0,4.0 +2097,1.0,7.0 +2098,2.0,0.0 +2099,0.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/842-peak+year_c.csv b/SurgeData/842-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/842-peak+year_c.csv rename to SurgeData/842-peak+year_c.csv diff --git a/SurgeData/N=1000/842-peak+year_w.csv b/SurgeData/842-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/842-peak+year_w.csv rename to SurgeData/842-peak+year_w.csv diff --git a/SurgeData/N=1000/842-peak_c.csv b/SurgeData/842-peak_c.csv similarity index 100% rename from SurgeData/N=1000/842-peak_c.csv rename to SurgeData/842-peak_c.csv diff --git a/SurgeData/N=1000/842-peak_w.csv b/SurgeData/842-peak_w.csv similarity index 100% rename from SurgeData/N=1000/842-peak_w.csv rename to SurgeData/842-peak_w.csv diff --git a/SurgeData/N=1000/842-surge_c.csv b/SurgeData/842-surge_c.csv similarity index 100% rename from SurgeData/N=1000/842-surge_c.csv rename to SurgeData/842-surge_c.csv diff --git a/SurgeData/N=1000/842-surge_w.csv b/SurgeData/842-surge_w.csv similarity index 100% rename from SurgeData/N=1000/842-surge_w.csv rename to SurgeData/842-surge_w.csv diff --git a/SurgeData/N=1000/842-time_c.csv b/SurgeData/842-time_c.csv similarity index 100% rename from SurgeData/N=1000/842-time_c.csv rename to SurgeData/842-time_c.csv diff --git a/SurgeData/N=1000/842-time_w.csv b/SurgeData/842-time_w.csv similarity index 100% rename from SurgeData/N=1000/842-time_w.csv rename to SurgeData/842-time_w.csv diff --git a/SurgeData/N=1000/842-waterlevel_c.csv b/SurgeData/842-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/842-waterlevel_c.csv rename to SurgeData/842-waterlevel_c.csv diff --git a/SurgeData/N=1000/842-waterlevel_w.csv b/SurgeData/842-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/842-waterlevel_w.csv rename to SurgeData/842-waterlevel_w.csv diff --git a/SurgeData/N=1000/843-peak+year_c.csv b/SurgeData/843-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/843-peak+year_c.csv rename to SurgeData/843-peak+year_c.csv diff --git a/SurgeData/N=1000/843-peak+year_w.csv b/SurgeData/843-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/843-peak+year_w.csv rename to SurgeData/843-peak+year_w.csv diff --git a/SurgeData/N=1000/843-peak_c.csv b/SurgeData/843-peak_c.csv similarity index 100% rename from SurgeData/N=1000/843-peak_c.csv rename to SurgeData/843-peak_c.csv diff --git a/SurgeData/N=1000/843-peak_w.csv b/SurgeData/843-peak_w.csv similarity index 100% rename from SurgeData/N=1000/843-peak_w.csv rename to SurgeData/843-peak_w.csv diff --git a/SurgeData/N=1000/843-surge_c.csv b/SurgeData/843-surge_c.csv similarity index 100% rename from SurgeData/N=1000/843-surge_c.csv rename to SurgeData/843-surge_c.csv diff --git a/SurgeData/N=1000/843-surge_w.csv b/SurgeData/843-surge_w.csv similarity index 100% rename from SurgeData/N=1000/843-surge_w.csv rename to SurgeData/843-surge_w.csv diff --git a/SurgeData/N=1000/843-time_c.csv b/SurgeData/843-time_c.csv similarity index 100% rename from SurgeData/N=1000/843-time_c.csv rename to SurgeData/843-time_c.csv diff --git a/SurgeData/N=1000/843-time_w.csv b/SurgeData/843-time_w.csv similarity index 100% rename from SurgeData/N=1000/843-time_w.csv rename to SurgeData/843-time_w.csv diff --git a/SurgeData/N=1000/843-waterlevel_c.csv b/SurgeData/843-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/843-waterlevel_c.csv rename to SurgeData/843-waterlevel_c.csv diff --git a/SurgeData/N=1000/843-waterlevel_w.csv b/SurgeData/843-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/843-waterlevel_w.csv rename to SurgeData/843-waterlevel_w.csv diff --git a/SurgeData/844-num_storm.csv b/SurgeData/844-num_storm.csv new file mode 100644 index 00000000..c3dfd77b --- /dev/null +++ b/SurgeData/844-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,4.0 +2022,2.0,2.0 +2023,1.0,2.0 +2024,3.0,5.0 +2025,2.0,2.0 +2026,3.0,7.0 +2027,0.0,3.0 +2028,0.0,2.0 +2029,1.0,5.0 +2030,2.0,7.0 +2031,1.0,2.0 +2032,1.0,3.0 +2033,1.0,7.0 +2034,2.0,2.0 +2035,1.0,5.0 +2036,3.0,2.0 +2037,0.0,2.0 +2038,1.0,4.0 +2039,2.0,9.0 +2040,1.0,0.0 +2041,5.0,6.0 +2042,1.0,5.0 +2043,0.0,9.0 +2044,0.0,0.0 +2045,2.0,7.0 +2046,3.0,7.0 +2047,0.0,3.0 +2048,1.0,6.0 +2049,0.0,7.0 +2050,2.0,6.0 +2051,3.0,3.0 +2052,4.0,4.0 +2053,1.0,10.0 +2054,1.0,4.0 +2055,2.0,6.0 +2056,2.0,3.0 +2057,2.0,4.0 +2058,0.0,3.0 +2059,1.0,7.0 +2060,3.0,2.0 +2061,1.0,4.0 +2062,1.0,5.0 +2063,0.0,4.0 +2064,0.0,5.0 +2065,2.0,6.0 +2066,5.0,5.0 +2067,2.0,5.0 +2068,1.0,4.0 +2069,1.0,4.0 +2070,1.0,6.0 +2071,3.0,4.0 +2072,1.0,2.0 +2073,2.0,1.0 +2074,1.0,4.0 +2075,0.0,0.0 +2076,1.0,2.0 +2077,1.0,2.0 +2078,1.0,6.0 +2079,1.0,3.0 +2080,2.0,4.0 +2081,0.0,2.0 +2082,1.0,6.0 +2083,0.0,4.0 +2084,1.0,3.0 +2085,0.0,6.0 +2086,0.0,3.0 +2087,0.0,2.0 +2088,1.0,2.0 +2089,3.0,4.0 +2090,2.0,4.0 +2091,2.0,3.0 +2092,2.0,1.0 +2093,2.0,3.0 +2094,0.0,2.0 +2095,1.0,3.0 +2096,0.0,1.0 +2097,1.0,4.0 +2098,2.0,2.0 +2099,4.0,8.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/844-peak+year_c.csv b/SurgeData/844-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/844-peak+year_c.csv rename to SurgeData/844-peak+year_c.csv diff --git a/SurgeData/N=1000/844-peak+year_w.csv b/SurgeData/844-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/844-peak+year_w.csv rename to SurgeData/844-peak+year_w.csv diff --git a/SurgeData/N=1000/844-peak_c.csv b/SurgeData/844-peak_c.csv similarity index 100% rename from SurgeData/N=1000/844-peak_c.csv rename to SurgeData/844-peak_c.csv diff --git a/SurgeData/N=1000/844-peak_w.csv b/SurgeData/844-peak_w.csv similarity index 100% rename from SurgeData/N=1000/844-peak_w.csv rename to SurgeData/844-peak_w.csv diff --git a/SurgeData/N=1000/844-surge_c.csv b/SurgeData/844-surge_c.csv similarity index 100% rename from SurgeData/N=1000/844-surge_c.csv rename to SurgeData/844-surge_c.csv diff --git a/SurgeData/N=1000/844-surge_w.csv b/SurgeData/844-surge_w.csv similarity index 100% rename from SurgeData/N=1000/844-surge_w.csv rename to SurgeData/844-surge_w.csv diff --git a/SurgeData/N=1000/844-time_c.csv b/SurgeData/844-time_c.csv similarity index 100% rename from SurgeData/N=1000/844-time_c.csv rename to SurgeData/844-time_c.csv diff --git a/SurgeData/N=1000/844-time_w.csv b/SurgeData/844-time_w.csv similarity index 100% rename from SurgeData/N=1000/844-time_w.csv rename to SurgeData/844-time_w.csv diff --git a/SurgeData/N=1000/844-waterlevel_c.csv b/SurgeData/844-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/844-waterlevel_c.csv rename to SurgeData/844-waterlevel_c.csv diff --git a/SurgeData/N=1000/844-waterlevel_w.csv b/SurgeData/844-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/844-waterlevel_w.csv rename to SurgeData/844-waterlevel_w.csv diff --git a/SurgeData/845-num_storm.csv b/SurgeData/845-num_storm.csv new file mode 100644 index 00000000..b40148df --- /dev/null +++ b/SurgeData/845-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,6.0 +2022,1.0,2.0 +2023,2.0,0.0 +2024,4.0,4.0 +2025,0.0,6.0 +2026,1.0,3.0 +2027,1.0,12.0 +2028,1.0,3.0 +2029,3.0,3.0 +2030,0.0,8.0 +2031,1.0,3.0 +2032,1.0,4.0 +2033,0.0,1.0 +2034,5.0,2.0 +2035,4.0,3.0 +2036,0.0,3.0 +2037,1.0,4.0 +2038,3.0,3.0 +2039,3.0,9.0 +2040,0.0,4.0 +2041,2.0,6.0 +2042,3.0,8.0 +2043,1.0,3.0 +2044,1.0,9.0 +2045,2.0,4.0 +2046,2.0,6.0 +2047,1.0,4.0 +2048,1.0,2.0 +2049,2.0,3.0 +2050,1.0,5.0 +2051,2.0,7.0 +2052,1.0,4.0 +2053,2.0,5.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,1.0,4.0 +2057,0.0,3.0 +2058,1.0,2.0 +2059,1.0,5.0 +2060,0.0,5.0 +2061,1.0,0.0 +2062,3.0,6.0 +2063,2.0,3.0 +2064,5.0,4.0 +2065,1.0,2.0 +2066,1.0,1.0 +2067,2.0,5.0 +2068,1.0,5.0 +2069,0.0,3.0 +2070,3.0,3.0 +2071,1.0,4.0 +2072,2.0,4.0 +2073,1.0,2.0 +2074,1.0,5.0 +2075,0.0,5.0 +2076,3.0,0.0 +2077,1.0,5.0 +2078,1.0,1.0 +2079,0.0,8.0 +2080,0.0,6.0 +2081,0.0,3.0 +2082,0.0,4.0 +2083,2.0,4.0 +2084,3.0,5.0 +2085,1.0,5.0 +2086,1.0,6.0 +2087,1.0,3.0 +2088,2.0,2.0 +2089,4.0,3.0 +2090,2.0,3.0 +2091,2.0,6.0 +2092,1.0,6.0 +2093,1.0,4.0 +2094,3.0,6.0 +2095,3.0,3.0 +2096,1.0,6.0 +2097,2.0,3.0 +2098,2.0,4.0 +2099,1.0,1.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/845-peak+year_c.csv b/SurgeData/845-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/845-peak+year_c.csv rename to SurgeData/845-peak+year_c.csv diff --git a/SurgeData/N=1000/845-peak+year_w.csv b/SurgeData/845-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/845-peak+year_w.csv rename to SurgeData/845-peak+year_w.csv diff --git a/SurgeData/N=1000/845-peak_c.csv b/SurgeData/845-peak_c.csv similarity index 100% rename from SurgeData/N=1000/845-peak_c.csv rename to SurgeData/845-peak_c.csv diff --git a/SurgeData/N=1000/845-peak_w.csv b/SurgeData/845-peak_w.csv similarity index 100% rename from SurgeData/N=1000/845-peak_w.csv rename to SurgeData/845-peak_w.csv diff --git a/SurgeData/N=1000/845-surge_c.csv b/SurgeData/845-surge_c.csv similarity index 100% rename from SurgeData/N=1000/845-surge_c.csv rename to SurgeData/845-surge_c.csv diff --git a/SurgeData/N=1000/845-surge_w.csv b/SurgeData/845-surge_w.csv similarity index 100% rename from SurgeData/N=1000/845-surge_w.csv rename to SurgeData/845-surge_w.csv diff --git a/SurgeData/N=1000/845-time_c.csv b/SurgeData/845-time_c.csv similarity index 100% rename from SurgeData/N=1000/845-time_c.csv rename to SurgeData/845-time_c.csv diff --git a/SurgeData/N=1000/845-time_w.csv b/SurgeData/845-time_w.csv similarity index 100% rename from SurgeData/N=1000/845-time_w.csv rename to SurgeData/845-time_w.csv diff --git a/SurgeData/N=1000/845-waterlevel_c.csv b/SurgeData/845-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/845-waterlevel_c.csv rename to SurgeData/845-waterlevel_c.csv diff --git a/SurgeData/N=1000/845-waterlevel_w.csv b/SurgeData/845-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/845-waterlevel_w.csv rename to SurgeData/845-waterlevel_w.csv diff --git a/SurgeData/846-num_storm.csv b/SurgeData/846-num_storm.csv new file mode 100644 index 00000000..d88e5794 --- /dev/null +++ b/SurgeData/846-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,2.0,3.0 +2022,0.0,4.0 +2023,0.0,1.0 +2024,2.0,2.0 +2025,1.0,3.0 +2026,3.0,0.0 +2027,2.0,10.0 +2028,2.0,2.0 +2029,0.0,3.0 +2030,1.0,6.0 +2031,1.0,4.0 +2032,1.0,4.0 +2033,2.0,6.0 +2034,3.0,3.0 +2035,3.0,4.0 +2036,3.0,3.0 +2037,0.0,1.0 +2038,3.0,8.0 +2039,0.0,1.0 +2040,2.0,1.0 +2041,0.0,4.0 +2042,2.0,5.0 +2043,1.0,5.0 +2044,3.0,3.0 +2045,2.0,5.0 +2046,1.0,5.0 +2047,3.0,5.0 +2048,3.0,5.0 +2049,6.0,0.0 +2050,2.0,1.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,0.0,3.0 +2054,0.0,7.0 +2055,1.0,7.0 +2056,5.0,4.0 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SurgeData/846-peak+year_w.csv diff --git a/SurgeData/N=1000/846-peak_c.csv b/SurgeData/846-peak_c.csv similarity index 100% rename from SurgeData/N=1000/846-peak_c.csv rename to SurgeData/846-peak_c.csv diff --git a/SurgeData/N=1000/846-peak_w.csv b/SurgeData/846-peak_w.csv similarity index 100% rename from SurgeData/N=1000/846-peak_w.csv rename to SurgeData/846-peak_w.csv diff --git a/SurgeData/N=1000/846-surge_c.csv b/SurgeData/846-surge_c.csv similarity index 100% rename from SurgeData/N=1000/846-surge_c.csv rename to SurgeData/846-surge_c.csv diff --git a/SurgeData/N=1000/846-surge_w.csv b/SurgeData/846-surge_w.csv similarity index 100% rename from SurgeData/N=1000/846-surge_w.csv rename to SurgeData/846-surge_w.csv diff --git a/SurgeData/N=1000/846-time_c.csv b/SurgeData/846-time_c.csv similarity index 100% rename from SurgeData/N=1000/846-time_c.csv rename to SurgeData/846-time_c.csv diff --git a/SurgeData/N=1000/846-time_w.csv b/SurgeData/846-time_w.csv similarity index 100% rename from SurgeData/N=1000/846-time_w.csv rename to SurgeData/846-time_w.csv diff --git a/SurgeData/N=1000/846-waterlevel_c.csv b/SurgeData/846-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/846-waterlevel_c.csv rename to SurgeData/846-waterlevel_c.csv diff --git a/SurgeData/N=1000/846-waterlevel_w.csv b/SurgeData/846-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/846-waterlevel_w.csv rename to SurgeData/846-waterlevel_w.csv diff --git a/SurgeData/N=1000/847-peak+year_c.csv b/SurgeData/847-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/847-peak+year_c.csv rename to SurgeData/847-peak+year_c.csv diff --git a/SurgeData/N=1000/847-peak+year_w.csv b/SurgeData/847-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/847-peak+year_w.csv rename to SurgeData/847-peak+year_w.csv diff --git a/SurgeData/N=1000/847-peak_c.csv b/SurgeData/847-peak_c.csv similarity index 100% rename from SurgeData/N=1000/847-peak_c.csv rename to SurgeData/847-peak_c.csv diff --git a/SurgeData/N=1000/847-peak_w.csv b/SurgeData/847-peak_w.csv similarity index 100% rename from SurgeData/N=1000/847-peak_w.csv rename to SurgeData/847-peak_w.csv diff --git a/SurgeData/N=1000/847-surge_c.csv b/SurgeData/847-surge_c.csv similarity index 100% rename from SurgeData/N=1000/847-surge_c.csv rename to SurgeData/847-surge_c.csv diff --git a/SurgeData/N=1000/847-surge_w.csv b/SurgeData/847-surge_w.csv similarity index 100% rename from SurgeData/N=1000/847-surge_w.csv rename to SurgeData/847-surge_w.csv diff --git a/SurgeData/N=1000/847-time_c.csv b/SurgeData/847-time_c.csv similarity index 100% rename from SurgeData/N=1000/847-time_c.csv rename to SurgeData/847-time_c.csv diff --git a/SurgeData/N=1000/847-time_w.csv b/SurgeData/847-time_w.csv similarity index 100% rename from SurgeData/N=1000/847-time_w.csv rename to SurgeData/847-time_w.csv diff --git a/SurgeData/N=1000/847-waterlevel_c.csv b/SurgeData/847-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/847-waterlevel_c.csv rename to SurgeData/847-waterlevel_c.csv diff --git a/SurgeData/N=1000/847-waterlevel_w.csv b/SurgeData/847-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/847-waterlevel_w.csv rename to SurgeData/847-waterlevel_w.csv diff --git a/SurgeData/848-num_storm.csv b/SurgeData/848-num_storm.csv new file mode 100644 index 00000000..63f26679 --- /dev/null +++ b/SurgeData/848-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,1.0 +2021,2.0,6.0 +2022,2.0,3.0 +2023,2.0,6.0 +2024,0.0,4.0 +2025,1.0,3.0 +2026,3.0,1.0 +2027,3.0,6.0 +2028,3.0,2.0 +2029,1.0,3.0 +2030,1.0,3.0 +2031,2.0,4.0 +2032,0.0,4.0 +2033,1.0,3.0 +2034,1.0,7.0 +2035,4.0,6.0 +2036,1.0,5.0 +2037,1.0,6.0 +2038,2.0,5.0 +2039,1.0,4.0 +2040,3.0,7.0 +2041,2.0,7.0 +2042,2.0,7.0 +2043,3.0,3.0 +2044,4.0,4.0 +2045,0.0,3.0 +2046,1.0,3.0 +2047,0.0,1.0 +2048,4.0,3.0 +2049,0.0,2.0 +2050,3.0,6.0 +2051,2.0,3.0 +2052,1.0,2.0 +2053,2.0,1.0 +2054,1.0,7.0 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SurgeData/848-peak+year_w.csv diff --git a/SurgeData/N=1000/848-peak_c.csv b/SurgeData/848-peak_c.csv similarity index 100% rename from SurgeData/N=1000/848-peak_c.csv rename to SurgeData/848-peak_c.csv diff --git a/SurgeData/N=1000/848-peak_w.csv b/SurgeData/848-peak_w.csv similarity index 100% rename from SurgeData/N=1000/848-peak_w.csv rename to SurgeData/848-peak_w.csv diff --git a/SurgeData/N=1000/848-surge_c.csv b/SurgeData/848-surge_c.csv similarity index 100% rename from SurgeData/N=1000/848-surge_c.csv rename to SurgeData/848-surge_c.csv diff --git a/SurgeData/N=1000/848-surge_w.csv b/SurgeData/848-surge_w.csv similarity index 100% rename from SurgeData/N=1000/848-surge_w.csv rename to SurgeData/848-surge_w.csv diff --git a/SurgeData/N=1000/848-time_c.csv b/SurgeData/848-time_c.csv similarity index 100% rename from SurgeData/N=1000/848-time_c.csv rename to SurgeData/848-time_c.csv diff --git a/SurgeData/N=1000/848-time_w.csv b/SurgeData/848-time_w.csv similarity index 100% rename from SurgeData/N=1000/848-time_w.csv rename to SurgeData/848-time_w.csv diff --git a/SurgeData/N=1000/848-waterlevel_c.csv b/SurgeData/848-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/848-waterlevel_c.csv rename to SurgeData/848-waterlevel_c.csv diff --git a/SurgeData/N=1000/848-waterlevel_w.csv b/SurgeData/848-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/848-waterlevel_w.csv rename to SurgeData/848-waterlevel_w.csv diff --git a/SurgeData/849-num_storm.csv b/SurgeData/849-num_storm.csv new file mode 100644 index 00000000..38e09ef4 --- /dev/null +++ b/SurgeData/849-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,4.0 +2022,3.0,2.0 +2023,1.0,0.0 +2024,3.0,6.0 +2025,1.0,4.0 +2026,2.0,1.0 +2027,2.0,5.0 +2028,2.0,5.0 +2029,4.0,5.0 +2030,2.0,2.0 +2031,2.0,6.0 +2032,1.0,3.0 +2033,0.0,5.0 +2034,0.0,3.0 +2035,0.0,10.0 +2036,2.0,1.0 +2037,2.0,6.0 +2038,5.0,2.0 +2039,1.0,4.0 +2040,1.0,1.0 +2041,2.0,3.0 +2042,0.0,3.0 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SurgeData/849-peak+year_c.csv diff --git a/SurgeData/N=1000/849-peak+year_w.csv b/SurgeData/849-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/849-peak+year_w.csv rename to SurgeData/849-peak+year_w.csv diff --git a/SurgeData/N=1000/849-peak_c.csv b/SurgeData/849-peak_c.csv similarity index 100% rename from SurgeData/N=1000/849-peak_c.csv rename to SurgeData/849-peak_c.csv diff --git a/SurgeData/N=1000/849-peak_w.csv b/SurgeData/849-peak_w.csv similarity index 100% rename from SurgeData/N=1000/849-peak_w.csv rename to SurgeData/849-peak_w.csv diff --git a/SurgeData/N=1000/849-surge_c.csv b/SurgeData/849-surge_c.csv similarity index 100% rename from SurgeData/N=1000/849-surge_c.csv rename to SurgeData/849-surge_c.csv diff --git a/SurgeData/N=1000/849-surge_w.csv b/SurgeData/849-surge_w.csv similarity index 100% rename from SurgeData/N=1000/849-surge_w.csv rename to SurgeData/849-surge_w.csv diff --git a/SurgeData/N=1000/849-time_c.csv b/SurgeData/849-time_c.csv similarity index 100% rename from SurgeData/N=1000/849-time_c.csv rename to SurgeData/849-time_c.csv diff --git a/SurgeData/N=1000/849-time_w.csv b/SurgeData/849-time_w.csv similarity index 100% rename from SurgeData/N=1000/849-time_w.csv rename to SurgeData/849-time_w.csv diff --git a/SurgeData/N=1000/849-waterlevel_c.csv b/SurgeData/849-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/849-waterlevel_c.csv rename to SurgeData/849-waterlevel_c.csv diff --git a/SurgeData/N=1000/849-waterlevel_w.csv b/SurgeData/849-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/849-waterlevel_w.csv rename to SurgeData/849-waterlevel_w.csv diff --git a/SurgeData/85-num_storm.csv b/SurgeData/85-num_storm.csv new file mode 100644 index 00000000..4d73d753 --- /dev/null +++ b/SurgeData/85-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,0.0,2.0 +2022,2.0,3.0 +2023,1.0,2.0 +2024,0.0,3.0 +2025,1.0,2.0 +2026,1.0,7.0 +2027,4.0,3.0 +2028,0.0,1.0 +2029,0.0,2.0 +2030,1.0,5.0 +2031,3.0,5.0 +2032,2.0,5.0 +2033,2.0,3.0 +2034,1.0,3.0 +2035,2.0,7.0 +2036,2.0,2.0 +2037,2.0,5.0 +2038,3.0,1.0 +2039,3.0,4.0 +2040,2.0,3.0 +2041,4.0,1.0 +2042,3.0,4.0 +2043,0.0,3.0 +2044,1.0,3.0 +2045,1.0,2.0 +2046,0.0,5.0 +2047,4.0,5.0 +2048,4.0,3.0 +2049,3.0,3.0 +2050,4.0,0.0 +2051,1.0,7.0 +2052,1.0,6.0 +2053,1.0,5.0 +2054,1.0,3.0 +2055,2.0,10.0 +2056,1.0,6.0 +2057,1.0,3.0 +2058,2.0,2.0 +2059,3.0,2.0 +2060,3.0,3.0 +2061,4.0,2.0 +2062,1.0,6.0 +2063,1.0,6.0 +2064,3.0,4.0 +2065,2.0,5.0 +2066,2.0,2.0 +2067,2.0,3.0 +2068,0.0,3.0 +2069,5.0,3.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,2.0,8.0 +2073,1.0,1.0 +2074,4.0,3.0 +2075,0.0,4.0 +2076,2.0,6.0 +2077,1.0,3.0 +2078,1.0,4.0 +2079,0.0,11.0 +2080,1.0,6.0 +2081,1.0,4.0 +2082,2.0,5.0 +2083,1.0,2.0 +2084,5.0,3.0 +2085,1.0,8.0 +2086,1.0,2.0 +2087,4.0,3.0 +2088,3.0,1.0 +2089,1.0,8.0 +2090,1.0,2.0 +2091,0.0,5.0 +2092,1.0,4.0 +2093,0.0,4.0 +2094,1.0,3.0 +2095,1.0,1.0 +2096,3.0,3.0 +2097,1.0,4.0 +2098,3.0,4.0 +2099,3.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/85-peak+year_c.csv b/SurgeData/85-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/85-peak+year_c.csv rename to SurgeData/85-peak+year_c.csv diff --git a/SurgeData/N=1000/85-peak+year_w.csv b/SurgeData/85-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/85-peak+year_w.csv rename to SurgeData/85-peak+year_w.csv diff --git a/SurgeData/N=1000/85-peak_c.csv b/SurgeData/85-peak_c.csv similarity index 100% rename from SurgeData/N=1000/85-peak_c.csv rename to SurgeData/85-peak_c.csv diff --git a/SurgeData/N=1000/85-peak_w.csv b/SurgeData/85-peak_w.csv similarity index 100% rename from SurgeData/N=1000/85-peak_w.csv rename to SurgeData/85-peak_w.csv diff --git a/SurgeData/N=1000/85-surge_c.csv b/SurgeData/85-surge_c.csv similarity index 100% rename from SurgeData/N=1000/85-surge_c.csv rename to SurgeData/85-surge_c.csv diff --git a/SurgeData/N=1000/85-surge_w.csv b/SurgeData/85-surge_w.csv similarity index 100% rename from SurgeData/N=1000/85-surge_w.csv rename to SurgeData/85-surge_w.csv diff --git a/SurgeData/N=1000/85-time_c.csv b/SurgeData/85-time_c.csv similarity index 100% rename from SurgeData/N=1000/85-time_c.csv rename to SurgeData/85-time_c.csv diff --git a/SurgeData/N=1000/85-time_w.csv b/SurgeData/85-time_w.csv similarity index 100% rename from SurgeData/N=1000/85-time_w.csv rename to SurgeData/85-time_w.csv diff --git a/SurgeData/N=1000/85-waterlevel_c.csv b/SurgeData/85-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/85-waterlevel_c.csv rename to SurgeData/85-waterlevel_c.csv diff --git a/SurgeData/N=1000/85-waterlevel_w.csv b/SurgeData/85-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/85-waterlevel_w.csv rename to SurgeData/85-waterlevel_w.csv diff --git a/SurgeData/850-num_storm.csv b/SurgeData/850-num_storm.csv new file mode 100644 index 00000000..db04a88a --- /dev/null +++ b/SurgeData/850-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,3.0,3.0 +2022,4.0,3.0 +2023,1.0,6.0 +2024,1.0,3.0 +2025,2.0,5.0 +2026,0.0,3.0 +2027,3.0,5.0 +2028,0.0,2.0 +2029,0.0,1.0 +2030,4.0,0.0 +2031,1.0,8.0 +2032,2.0,2.0 +2033,1.0,7.0 +2034,0.0,4.0 +2035,0.0,4.0 +2036,3.0,8.0 +2037,0.0,2.0 +2038,1.0,6.0 +2039,1.0,5.0 +2040,0.0,1.0 +2041,1.0,10.0 +2042,1.0,3.0 +2043,2.0,6.0 +2044,3.0,2.0 +2045,1.0,3.0 +2046,1.0,7.0 +2047,0.0,5.0 +2048,0.0,3.0 +2049,2.0,4.0 +2050,1.0,4.0 +2051,0.0,5.0 +2052,0.0,7.0 +2053,0.0,5.0 +2054,1.0,4.0 +2055,1.0,1.0 +2056,3.0,3.0 +2057,4.0,2.0 +2058,1.0,3.0 +2059,2.0,5.0 +2060,2.0,6.0 +2061,0.0,6.0 +2062,1.0,2.0 +2063,1.0,1.0 +2064,0.0,2.0 +2065,0.0,2.0 +2066,3.0,9.0 +2067,4.0,3.0 +2068,0.0,6.0 +2069,1.0,3.0 +2070,1.0,4.0 +2071,0.0,5.0 +2072,1.0,8.0 +2073,1.0,3.0 +2074,0.0,5.0 +2075,2.0,3.0 +2076,0.0,2.0 +2077,1.0,6.0 +2078,3.0,4.0 +2079,1.0,1.0 +2080,0.0,0.0 +2081,1.0,5.0 +2082,3.0,3.0 +2083,0.0,3.0 +2084,1.0,3.0 +2085,0.0,2.0 +2086,1.0,2.0 +2087,2.0,6.0 +2088,0.0,7.0 +2089,1.0,5.0 +2090,3.0,7.0 +2091,1.0,5.0 +2092,0.0,6.0 +2093,1.0,3.0 +2094,0.0,6.0 +2095,3.0,8.0 +2096,0.0,6.0 +2097,2.0,1.0 +2098,1.0,3.0 +2099,3.0,4.0 +2100,4.0,6.0 diff --git a/SurgeData/N=1000/850-peak+year_c.csv b/SurgeData/850-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/850-peak+year_c.csv rename to SurgeData/850-peak+year_c.csv diff --git a/SurgeData/N=1000/850-peak+year_w.csv b/SurgeData/850-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/850-peak+year_w.csv rename to SurgeData/850-peak+year_w.csv diff --git a/SurgeData/N=1000/850-peak_c.csv b/SurgeData/850-peak_c.csv similarity index 100% rename from SurgeData/N=1000/850-peak_c.csv rename to SurgeData/850-peak_c.csv diff --git a/SurgeData/N=1000/850-peak_w.csv b/SurgeData/850-peak_w.csv similarity index 100% rename from SurgeData/N=1000/850-peak_w.csv rename to SurgeData/850-peak_w.csv diff --git a/SurgeData/N=1000/850-surge_c.csv b/SurgeData/850-surge_c.csv similarity index 100% rename from SurgeData/N=1000/850-surge_c.csv rename to SurgeData/850-surge_c.csv diff --git a/SurgeData/N=1000/850-surge_w.csv b/SurgeData/850-surge_w.csv similarity index 100% rename from SurgeData/N=1000/850-surge_w.csv rename to SurgeData/850-surge_w.csv diff --git a/SurgeData/N=1000/850-time_c.csv b/SurgeData/850-time_c.csv similarity index 100% rename from SurgeData/N=1000/850-time_c.csv rename to SurgeData/850-time_c.csv diff --git a/SurgeData/N=1000/850-time_w.csv b/SurgeData/850-time_w.csv similarity index 100% rename from SurgeData/N=1000/850-time_w.csv rename to SurgeData/850-time_w.csv diff --git a/SurgeData/N=1000/850-waterlevel_c.csv b/SurgeData/850-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/850-waterlevel_c.csv rename to SurgeData/850-waterlevel_c.csv diff --git a/SurgeData/N=1000/850-waterlevel_w.csv b/SurgeData/850-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/850-waterlevel_w.csv rename to SurgeData/850-waterlevel_w.csv diff --git a/SurgeData/N=1000/851-peak+year_c.csv b/SurgeData/851-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/851-peak+year_c.csv rename to SurgeData/851-peak+year_c.csv diff --git a/SurgeData/N=1000/851-peak+year_w.csv b/SurgeData/851-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/851-peak+year_w.csv rename to SurgeData/851-peak+year_w.csv diff --git a/SurgeData/N=1000/851-peak_c.csv b/SurgeData/851-peak_c.csv similarity index 100% rename from SurgeData/N=1000/851-peak_c.csv rename to SurgeData/851-peak_c.csv diff --git a/SurgeData/N=1000/851-peak_w.csv b/SurgeData/851-peak_w.csv similarity index 100% rename from SurgeData/N=1000/851-peak_w.csv rename to SurgeData/851-peak_w.csv diff --git a/SurgeData/N=1000/851-surge_c.csv b/SurgeData/851-surge_c.csv similarity index 100% rename from SurgeData/N=1000/851-surge_c.csv rename to SurgeData/851-surge_c.csv diff --git a/SurgeData/N=1000/851-surge_w.csv b/SurgeData/851-surge_w.csv similarity index 100% rename from SurgeData/N=1000/851-surge_w.csv rename to SurgeData/851-surge_w.csv diff --git a/SurgeData/N=1000/851-time_c.csv b/SurgeData/851-time_c.csv similarity index 100% rename from SurgeData/N=1000/851-time_c.csv rename to SurgeData/851-time_c.csv diff --git a/SurgeData/N=1000/851-time_w.csv b/SurgeData/851-time_w.csv similarity index 100% rename from SurgeData/N=1000/851-time_w.csv rename to SurgeData/851-time_w.csv diff --git a/SurgeData/N=1000/851-waterlevel_c.csv b/SurgeData/851-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/851-waterlevel_c.csv rename to SurgeData/851-waterlevel_c.csv diff --git a/SurgeData/N=1000/851-waterlevel_w.csv b/SurgeData/851-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/851-waterlevel_w.csv rename to SurgeData/851-waterlevel_w.csv diff --git a/SurgeData/N=1000/852-peak+year_c.csv b/SurgeData/852-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/852-peak+year_c.csv rename to SurgeData/852-peak+year_c.csv diff --git a/SurgeData/N=1000/852-peak+year_w.csv b/SurgeData/852-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/852-peak+year_w.csv rename to SurgeData/852-peak+year_w.csv diff --git a/SurgeData/N=1000/852-peak_c.csv b/SurgeData/852-peak_c.csv similarity index 100% rename from SurgeData/N=1000/852-peak_c.csv rename to SurgeData/852-peak_c.csv diff --git a/SurgeData/N=1000/852-peak_w.csv b/SurgeData/852-peak_w.csv similarity index 100% rename from SurgeData/N=1000/852-peak_w.csv rename to SurgeData/852-peak_w.csv diff --git a/SurgeData/N=1000/852-surge_c.csv b/SurgeData/852-surge_c.csv similarity index 100% rename from SurgeData/N=1000/852-surge_c.csv rename to SurgeData/852-surge_c.csv diff --git a/SurgeData/N=1000/852-surge_w.csv b/SurgeData/852-surge_w.csv similarity index 100% rename from SurgeData/N=1000/852-surge_w.csv rename to SurgeData/852-surge_w.csv diff --git a/SurgeData/N=1000/852-time_c.csv b/SurgeData/852-time_c.csv similarity index 100% rename from SurgeData/N=1000/852-time_c.csv rename to SurgeData/852-time_c.csv diff --git a/SurgeData/N=1000/852-time_w.csv b/SurgeData/852-time_w.csv similarity index 100% rename from SurgeData/N=1000/852-time_w.csv rename to SurgeData/852-time_w.csv diff --git a/SurgeData/N=1000/852-waterlevel_c.csv b/SurgeData/852-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/852-waterlevel_c.csv rename to SurgeData/852-waterlevel_c.csv diff --git a/SurgeData/N=1000/852-waterlevel_w.csv b/SurgeData/852-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/852-waterlevel_w.csv rename to SurgeData/852-waterlevel_w.csv diff --git a/SurgeData/853-num_storm.csv b/SurgeData/853-num_storm.csv new file mode 100644 index 00000000..3db6cd49 --- /dev/null +++ b/SurgeData/853-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,4.0 +2022,1.0,6.0 +2023,2.0,4.0 +2024,3.0,3.0 +2025,0.0,3.0 +2026,2.0,2.0 +2027,1.0,4.0 +2028,1.0,2.0 +2029,2.0,4.0 +2030,0.0,4.0 +2031,2.0,5.0 +2032,1.0,4.0 +2033,2.0,5.0 +2034,0.0,5.0 +2035,4.0,2.0 +2036,1.0,3.0 +2037,1.0,7.0 +2038,1.0,5.0 +2039,3.0,7.0 +2040,2.0,4.0 +2041,2.0,6.0 +2042,0.0,6.0 +2043,2.0,2.0 +2044,1.0,6.0 +2045,1.0,4.0 +2046,1.0,3.0 +2047,2.0,2.0 +2048,1.0,3.0 +2049,2.0,4.0 +2050,2.0,5.0 +2051,0.0,4.0 +2052,1.0,5.0 +2053,3.0,3.0 +2054,3.0,5.0 +2055,1.0,6.0 +2056,2.0,3.0 +2057,5.0,3.0 +2058,0.0,2.0 +2059,0.0,7.0 +2060,2.0,5.0 +2061,2.0,7.0 +2062,1.0,6.0 +2063,2.0,2.0 +2064,3.0,4.0 +2065,3.0,2.0 +2066,2.0,8.0 +2067,1.0,2.0 +2068,1.0,3.0 +2069,2.0,2.0 +2070,5.0,6.0 +2071,4.0,2.0 +2072,1.0,4.0 +2073,1.0,3.0 +2074,3.0,4.0 +2075,1.0,5.0 +2076,2.0,1.0 +2077,0.0,0.0 +2078,3.0,2.0 +2079,2.0,6.0 +2080,3.0,6.0 +2081,2.0,2.0 +2082,1.0,6.0 +2083,2.0,3.0 +2084,3.0,3.0 +2085,2.0,3.0 +2086,1.0,4.0 +2087,4.0,5.0 +2088,2.0,0.0 +2089,2.0,1.0 +2090,1.0,3.0 +2091,1.0,2.0 +2092,4.0,2.0 +2093,0.0,7.0 +2094,5.0,4.0 +2095,3.0,4.0 +2096,2.0,2.0 +2097,1.0,9.0 +2098,2.0,7.0 +2099,2.0,3.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/853-peak+year_c.csv b/SurgeData/853-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/853-peak+year_c.csv rename to SurgeData/853-peak+year_c.csv diff --git a/SurgeData/N=1000/853-peak+year_w.csv b/SurgeData/853-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/853-peak+year_w.csv rename to SurgeData/853-peak+year_w.csv diff --git a/SurgeData/N=1000/853-peak_c.csv b/SurgeData/853-peak_c.csv similarity index 100% rename from SurgeData/N=1000/853-peak_c.csv rename to SurgeData/853-peak_c.csv diff --git a/SurgeData/N=1000/853-peak_w.csv b/SurgeData/853-peak_w.csv similarity index 100% rename from SurgeData/N=1000/853-peak_w.csv rename to SurgeData/853-peak_w.csv diff --git a/SurgeData/N=1000/853-surge_c.csv b/SurgeData/853-surge_c.csv similarity index 100% rename from SurgeData/N=1000/853-surge_c.csv rename to SurgeData/853-surge_c.csv diff --git a/SurgeData/N=1000/853-surge_w.csv b/SurgeData/853-surge_w.csv similarity index 100% rename from SurgeData/N=1000/853-surge_w.csv rename to SurgeData/853-surge_w.csv diff --git a/SurgeData/N=1000/853-time_c.csv b/SurgeData/853-time_c.csv similarity index 100% rename from SurgeData/N=1000/853-time_c.csv rename to SurgeData/853-time_c.csv diff --git a/SurgeData/N=1000/853-time_w.csv b/SurgeData/853-time_w.csv similarity index 100% rename from SurgeData/N=1000/853-time_w.csv rename to SurgeData/853-time_w.csv diff --git a/SurgeData/N=1000/853-waterlevel_c.csv b/SurgeData/853-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/853-waterlevel_c.csv rename to SurgeData/853-waterlevel_c.csv diff --git a/SurgeData/N=1000/853-waterlevel_w.csv b/SurgeData/853-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/853-waterlevel_w.csv rename to SurgeData/853-waterlevel_w.csv diff --git a/SurgeData/854-num_storm.csv b/SurgeData/854-num_storm.csv new file mode 100644 index 00000000..d4381e88 --- /dev/null +++ b/SurgeData/854-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,4.0,8.0 +2022,2.0,3.0 +2023,1.0,8.0 +2024,0.0,0.0 +2025,2.0,5.0 +2026,1.0,1.0 +2027,0.0,5.0 +2028,2.0,8.0 +2029,4.0,4.0 +2030,1.0,6.0 +2031,2.0,3.0 +2032,2.0,3.0 +2033,1.0,2.0 +2034,3.0,3.0 +2035,0.0,2.0 +2036,2.0,4.0 +2037,3.0,4.0 +2038,2.0,4.0 +2039,0.0,4.0 +2040,2.0,4.0 +2041,1.0,8.0 +2042,3.0,4.0 +2043,2.0,1.0 +2044,0.0,1.0 +2045,1.0,3.0 +2046,1.0,4.0 +2047,1.0,2.0 +2048,1.0,4.0 +2049,1.0,4.0 +2050,3.0,8.0 +2051,5.0,7.0 +2052,2.0,4.0 +2053,3.0,7.0 +2054,2.0,3.0 +2055,2.0,3.0 +2056,0.0,0.0 +2057,1.0,4.0 +2058,0.0,4.0 +2059,2.0,7.0 +2060,1.0,2.0 +2061,2.0,7.0 +2062,2.0,2.0 +2063,1.0,4.0 +2064,4.0,6.0 +2065,1.0,6.0 +2066,3.0,7.0 +2067,3.0,1.0 +2068,0.0,2.0 +2069,2.0,4.0 +2070,2.0,2.0 +2071,1.0,2.0 +2072,0.0,4.0 +2073,3.0,4.0 +2074,3.0,2.0 +2075,1.0,7.0 +2076,1.0,6.0 +2077,1.0,3.0 +2078,0.0,5.0 +2079,1.0,6.0 +2080,2.0,2.0 +2081,0.0,9.0 +2082,1.0,3.0 +2083,3.0,4.0 +2084,0.0,4.0 +2085,4.0,8.0 +2086,1.0,4.0 +2087,1.0,3.0 +2088,2.0,5.0 +2089,1.0,3.0 +2090,0.0,3.0 +2091,2.0,8.0 +2092,2.0,5.0 +2093,1.0,7.0 +2094,0.0,4.0 +2095,0.0,5.0 +2096,0.0,6.0 +2097,2.0,4.0 +2098,2.0,1.0 +2099,0.0,9.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/854-peak+year_c.csv b/SurgeData/854-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/854-peak+year_c.csv rename to SurgeData/854-peak+year_c.csv diff --git a/SurgeData/N=1000/854-peak+year_w.csv b/SurgeData/854-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/854-peak+year_w.csv rename to SurgeData/854-peak+year_w.csv diff --git a/SurgeData/N=1000/854-peak_c.csv b/SurgeData/854-peak_c.csv similarity index 100% rename from SurgeData/N=1000/854-peak_c.csv rename to SurgeData/854-peak_c.csv diff --git a/SurgeData/N=1000/854-peak_w.csv b/SurgeData/854-peak_w.csv similarity index 100% rename from SurgeData/N=1000/854-peak_w.csv rename to SurgeData/854-peak_w.csv diff --git a/SurgeData/N=1000/854-surge_c.csv b/SurgeData/854-surge_c.csv similarity index 100% rename from SurgeData/N=1000/854-surge_c.csv rename to SurgeData/854-surge_c.csv diff --git a/SurgeData/N=1000/854-surge_w.csv b/SurgeData/854-surge_w.csv similarity index 100% rename from SurgeData/N=1000/854-surge_w.csv rename to SurgeData/854-surge_w.csv diff --git a/SurgeData/N=1000/854-time_c.csv b/SurgeData/854-time_c.csv similarity index 100% rename from SurgeData/N=1000/854-time_c.csv rename to SurgeData/854-time_c.csv diff --git a/SurgeData/N=1000/854-time_w.csv b/SurgeData/854-time_w.csv similarity index 100% rename from SurgeData/N=1000/854-time_w.csv rename to SurgeData/854-time_w.csv diff --git a/SurgeData/N=1000/854-waterlevel_c.csv b/SurgeData/854-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/854-waterlevel_c.csv rename to SurgeData/854-waterlevel_c.csv diff --git a/SurgeData/N=1000/854-waterlevel_w.csv b/SurgeData/854-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/854-waterlevel_w.csv rename to SurgeData/854-waterlevel_w.csv diff --git a/SurgeData/N=1000/855-peak+year_c.csv b/SurgeData/855-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/855-peak+year_c.csv rename to SurgeData/855-peak+year_c.csv diff --git a/SurgeData/N=1000/855-peak+year_w.csv b/SurgeData/855-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/855-peak+year_w.csv rename to SurgeData/855-peak+year_w.csv diff --git a/SurgeData/N=1000/855-peak_c.csv b/SurgeData/855-peak_c.csv similarity index 100% rename from SurgeData/N=1000/855-peak_c.csv rename to SurgeData/855-peak_c.csv diff --git a/SurgeData/N=1000/855-peak_w.csv b/SurgeData/855-peak_w.csv similarity index 100% rename from SurgeData/N=1000/855-peak_w.csv rename to SurgeData/855-peak_w.csv diff --git a/SurgeData/N=1000/855-surge_c.csv b/SurgeData/855-surge_c.csv similarity index 100% rename from SurgeData/N=1000/855-surge_c.csv rename to SurgeData/855-surge_c.csv diff --git a/SurgeData/N=1000/855-surge_w.csv b/SurgeData/855-surge_w.csv similarity index 100% rename from SurgeData/N=1000/855-surge_w.csv rename to SurgeData/855-surge_w.csv diff --git a/SurgeData/N=1000/855-time_c.csv b/SurgeData/855-time_c.csv similarity index 100% rename from SurgeData/N=1000/855-time_c.csv rename to SurgeData/855-time_c.csv diff --git a/SurgeData/N=1000/855-time_w.csv b/SurgeData/855-time_w.csv similarity index 100% rename from SurgeData/N=1000/855-time_w.csv rename to SurgeData/855-time_w.csv diff --git a/SurgeData/N=1000/855-waterlevel_c.csv b/SurgeData/855-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/855-waterlevel_c.csv rename to SurgeData/855-waterlevel_c.csv diff --git a/SurgeData/N=1000/855-waterlevel_w.csv b/SurgeData/855-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/855-waterlevel_w.csv rename to SurgeData/855-waterlevel_w.csv diff --git a/SurgeData/856-num_storm.csv b/SurgeData/856-num_storm.csv new file mode 100644 index 00000000..ded1a42a --- /dev/null +++ b/SurgeData/856-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,1.0,4.0 +2022,0.0,7.0 +2023,1.0,3.0 +2024,0.0,3.0 +2025,0.0,3.0 +2026,0.0,1.0 +2027,1.0,1.0 +2028,1.0,4.0 +2029,0.0,2.0 +2030,1.0,6.0 +2031,0.0,4.0 +2032,1.0,2.0 +2033,1.0,4.0 +2034,1.0,5.0 +2035,2.0,4.0 +2036,2.0,5.0 +2037,2.0,9.0 +2038,1.0,3.0 +2039,2.0,11.0 +2040,0.0,3.0 +2041,2.0,4.0 +2042,1.0,8.0 +2043,0.0,3.0 +2044,1.0,3.0 +2045,0.0,3.0 +2046,3.0,6.0 +2047,0.0,4.0 +2048,1.0,2.0 +2049,0.0,3.0 +2050,4.0,2.0 +2051,2.0,4.0 +2052,1.0,6.0 +2053,1.0,6.0 +2054,0.0,3.0 +2055,3.0,2.0 +2056,3.0,3.0 +2057,2.0,4.0 +2058,1.0,3.0 +2059,0.0,5.0 +2060,3.0,6.0 +2061,4.0,3.0 +2062,3.0,2.0 +2063,0.0,3.0 +2064,0.0,2.0 +2065,1.0,5.0 +2066,2.0,7.0 +2067,1.0,4.0 +2068,3.0,1.0 +2069,1.0,4.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,3.0,2.0 +2073,2.0,5.0 +2074,2.0,3.0 +2075,2.0,6.0 +2076,2.0,3.0 +2077,2.0,1.0 +2078,2.0,3.0 +2079,5.0,2.0 +2080,2.0,3.0 +2081,0.0,0.0 +2082,1.0,2.0 +2083,3.0,2.0 +2084,0.0,4.0 +2085,1.0,4.0 +2086,1.0,4.0 +2087,0.0,3.0 +2088,2.0,3.0 +2089,1.0,0.0 +2090,4.0,6.0 +2091,2.0,4.0 +2092,3.0,2.0 +2093,0.0,5.0 +2094,1.0,0.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,1.0,4.0 +2098,0.0,4.0 +2099,2.0,5.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/856-peak+year_c.csv b/SurgeData/856-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/856-peak+year_c.csv rename to SurgeData/856-peak+year_c.csv diff --git a/SurgeData/N=1000/856-peak+year_w.csv b/SurgeData/856-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/856-peak+year_w.csv rename to SurgeData/856-peak+year_w.csv diff --git a/SurgeData/N=1000/856-peak_c.csv b/SurgeData/856-peak_c.csv similarity index 100% rename from SurgeData/N=1000/856-peak_c.csv rename to SurgeData/856-peak_c.csv diff --git a/SurgeData/N=1000/856-peak_w.csv b/SurgeData/856-peak_w.csv similarity index 100% rename from SurgeData/N=1000/856-peak_w.csv rename to SurgeData/856-peak_w.csv diff --git a/SurgeData/N=1000/856-surge_c.csv b/SurgeData/856-surge_c.csv similarity index 100% rename from SurgeData/N=1000/856-surge_c.csv rename to SurgeData/856-surge_c.csv diff --git a/SurgeData/N=1000/856-surge_w.csv b/SurgeData/856-surge_w.csv similarity index 100% rename from SurgeData/N=1000/856-surge_w.csv rename to SurgeData/856-surge_w.csv diff --git a/SurgeData/N=1000/856-time_c.csv b/SurgeData/856-time_c.csv similarity index 100% rename from SurgeData/N=1000/856-time_c.csv rename to SurgeData/856-time_c.csv diff --git a/SurgeData/N=1000/856-time_w.csv b/SurgeData/856-time_w.csv similarity index 100% rename from SurgeData/N=1000/856-time_w.csv rename to SurgeData/856-time_w.csv diff --git a/SurgeData/N=1000/856-waterlevel_c.csv b/SurgeData/856-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/856-waterlevel_c.csv rename to SurgeData/856-waterlevel_c.csv diff --git a/SurgeData/N=1000/856-waterlevel_w.csv b/SurgeData/856-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/856-waterlevel_w.csv rename to SurgeData/856-waterlevel_w.csv diff --git a/SurgeData/857-num_storm.csv b/SurgeData/857-num_storm.csv new file mode 100644 index 00000000..5a4d78e3 --- /dev/null +++ b/SurgeData/857-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,6.0 +2022,1.0,3.0 +2023,1.0,2.0 +2024,1.0,2.0 +2025,2.0,4.0 +2026,1.0,2.0 +2027,2.0,1.0 +2028,3.0,4.0 +2029,0.0,6.0 +2030,3.0,7.0 +2031,0.0,5.0 +2032,0.0,3.0 +2033,1.0,1.0 +2034,1.0,3.0 +2035,0.0,3.0 +2036,0.0,4.0 +2037,1.0,5.0 +2038,1.0,4.0 +2039,3.0,3.0 +2040,1.0,8.0 +2041,1.0,3.0 +2042,2.0,1.0 +2043,1.0,5.0 +2044,2.0,4.0 +2045,1.0,2.0 +2046,0.0,3.0 +2047,2.0,3.0 +2048,2.0,8.0 +2049,0.0,6.0 +2050,1.0,4.0 +2051,1.0,3.0 +2052,1.0,3.0 +2053,2.0,9.0 +2054,1.0,7.0 +2055,2.0,6.0 +2056,0.0,3.0 +2057,1.0,2.0 +2058,1.0,4.0 +2059,1.0,3.0 +2060,2.0,5.0 +2061,3.0,9.0 +2062,3.0,7.0 +2063,2.0,4.0 +2064,0.0,5.0 +2065,2.0,3.0 +2066,1.0,3.0 +2067,3.0,9.0 +2068,3.0,5.0 +2069,3.0,3.0 +2070,1.0,5.0 +2071,1.0,5.0 +2072,0.0,7.0 +2073,2.0,6.0 +2074,0.0,1.0 +2075,0.0,4.0 +2076,2.0,8.0 +2077,4.0,4.0 +2078,0.0,3.0 +2079,0.0,5.0 +2080,0.0,3.0 +2081,3.0,1.0 +2082,4.0,3.0 +2083,0.0,3.0 +2084,0.0,1.0 +2085,0.0,8.0 +2086,0.0,3.0 +2087,3.0,7.0 +2088,4.0,4.0 +2089,2.0,4.0 +2090,0.0,4.0 +2091,2.0,7.0 +2092,2.0,5.0 +2093,1.0,8.0 +2094,0.0,5.0 +2095,1.0,2.0 +2096,2.0,4.0 +2097,0.0,5.0 +2098,0.0,3.0 +2099,1.0,6.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/857-peak+year_c.csv b/SurgeData/857-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/857-peak+year_c.csv rename to SurgeData/857-peak+year_c.csv diff --git a/SurgeData/N=1000/857-peak+year_w.csv b/SurgeData/857-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/857-peak+year_w.csv rename to SurgeData/857-peak+year_w.csv diff --git a/SurgeData/N=1000/857-peak_c.csv b/SurgeData/857-peak_c.csv similarity index 100% rename from SurgeData/N=1000/857-peak_c.csv rename to SurgeData/857-peak_c.csv diff --git a/SurgeData/N=1000/857-peak_w.csv b/SurgeData/857-peak_w.csv similarity index 100% rename from SurgeData/N=1000/857-peak_w.csv rename to SurgeData/857-peak_w.csv diff --git a/SurgeData/N=1000/857-surge_c.csv b/SurgeData/857-surge_c.csv similarity index 100% rename from SurgeData/N=1000/857-surge_c.csv rename to SurgeData/857-surge_c.csv diff --git a/SurgeData/N=1000/857-surge_w.csv b/SurgeData/857-surge_w.csv similarity index 100% rename from SurgeData/N=1000/857-surge_w.csv rename to SurgeData/857-surge_w.csv diff --git a/SurgeData/N=1000/857-time_c.csv b/SurgeData/857-time_c.csv similarity index 100% rename from SurgeData/N=1000/857-time_c.csv rename to SurgeData/857-time_c.csv diff --git a/SurgeData/N=1000/857-time_w.csv b/SurgeData/857-time_w.csv similarity index 100% rename from SurgeData/N=1000/857-time_w.csv rename to SurgeData/857-time_w.csv diff --git a/SurgeData/N=1000/857-waterlevel_c.csv b/SurgeData/857-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/857-waterlevel_c.csv rename to SurgeData/857-waterlevel_c.csv diff --git a/SurgeData/N=1000/857-waterlevel_w.csv b/SurgeData/857-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/857-waterlevel_w.csv rename to SurgeData/857-waterlevel_w.csv diff --git a/SurgeData/N=1000/858-peak+year_c.csv b/SurgeData/858-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/858-peak+year_c.csv rename to SurgeData/858-peak+year_c.csv diff --git a/SurgeData/N=1000/858-peak+year_w.csv b/SurgeData/858-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/858-peak+year_w.csv rename to SurgeData/858-peak+year_w.csv diff --git a/SurgeData/N=1000/858-peak_c.csv b/SurgeData/858-peak_c.csv similarity index 100% rename from SurgeData/N=1000/858-peak_c.csv rename to SurgeData/858-peak_c.csv diff --git a/SurgeData/N=1000/858-peak_w.csv b/SurgeData/858-peak_w.csv similarity index 100% rename from SurgeData/N=1000/858-peak_w.csv rename to SurgeData/858-peak_w.csv diff --git a/SurgeData/N=1000/858-surge_c.csv b/SurgeData/858-surge_c.csv similarity index 100% rename from SurgeData/N=1000/858-surge_c.csv rename to SurgeData/858-surge_c.csv diff --git a/SurgeData/N=1000/858-surge_w.csv b/SurgeData/858-surge_w.csv similarity index 100% rename from SurgeData/N=1000/858-surge_w.csv rename to SurgeData/858-surge_w.csv diff --git a/SurgeData/N=1000/858-time_c.csv b/SurgeData/858-time_c.csv similarity index 100% rename from SurgeData/N=1000/858-time_c.csv rename to SurgeData/858-time_c.csv diff --git a/SurgeData/N=1000/858-time_w.csv b/SurgeData/858-time_w.csv similarity index 100% rename from SurgeData/N=1000/858-time_w.csv rename to SurgeData/858-time_w.csv diff --git a/SurgeData/N=1000/858-waterlevel_c.csv b/SurgeData/858-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/858-waterlevel_c.csv rename to SurgeData/858-waterlevel_c.csv diff --git a/SurgeData/N=1000/858-waterlevel_w.csv b/SurgeData/858-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/858-waterlevel_w.csv rename to SurgeData/858-waterlevel_w.csv diff --git a/SurgeData/859-num_storm.csv b/SurgeData/859-num_storm.csv new file mode 100644 index 00000000..0c43bdd5 --- /dev/null +++ b/SurgeData/859-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,2.0 +2022,3.0,2.0 +2023,4.0,4.0 +2024,1.0,6.0 +2025,1.0,2.0 +2026,0.0,3.0 +2027,1.0,6.0 +2028,2.0,2.0 +2029,0.0,3.0 +2030,5.0,3.0 +2031,0.0,6.0 +2032,2.0,6.0 +2033,0.0,6.0 +2034,2.0,5.0 +2035,4.0,4.0 +2036,2.0,3.0 +2037,3.0,1.0 +2038,3.0,5.0 +2039,3.0,3.0 +2040,2.0,5.0 +2041,0.0,2.0 +2042,1.0,4.0 +2043,1.0,2.0 +2044,3.0,8.0 +2045,1.0,12.0 +2046,0.0,2.0 +2047,1.0,5.0 +2048,4.0,6.0 +2049,3.0,4.0 +2050,3.0,6.0 +2051,3.0,3.0 +2052,1.0,4.0 +2053,3.0,3.0 +2054,6.0,1.0 +2055,1.0,3.0 +2056,1.0,6.0 +2057,1.0,8.0 +2058,2.0,3.0 +2059,0.0,5.0 +2060,1.0,4.0 +2061,0.0,4.0 +2062,2.0,4.0 +2063,0.0,10.0 +2064,0.0,3.0 +2065,3.0,6.0 +2066,1.0,2.0 +2067,0.0,4.0 +2068,2.0,6.0 +2069,0.0,3.0 +2070,1.0,3.0 +2071,1.0,3.0 +2072,0.0,0.0 +2073,4.0,2.0 +2074,0.0,2.0 +2075,1.0,3.0 +2076,4.0,0.0 +2077,2.0,4.0 +2078,6.0,6.0 +2079,2.0,5.0 +2080,1.0,3.0 +2081,2.0,3.0 +2082,0.0,1.0 +2083,2.0,5.0 +2084,1.0,3.0 +2085,0.0,5.0 +2086,0.0,5.0 +2087,1.0,4.0 +2088,6.0,4.0 +2089,3.0,2.0 +2090,0.0,2.0 +2091,1.0,5.0 +2092,1.0,0.0 +2093,1.0,3.0 +2094,1.0,2.0 +2095,3.0,5.0 +2096,3.0,5.0 +2097,0.0,5.0 +2098,0.0,5.0 +2099,0.0,7.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/859-peak+year_c.csv b/SurgeData/859-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/859-peak+year_c.csv rename to SurgeData/859-peak+year_c.csv diff --git a/SurgeData/N=1000/859-peak+year_w.csv b/SurgeData/859-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/859-peak+year_w.csv rename to SurgeData/859-peak+year_w.csv diff --git a/SurgeData/N=1000/859-peak_c.csv b/SurgeData/859-peak_c.csv similarity index 100% rename from SurgeData/N=1000/859-peak_c.csv rename to SurgeData/859-peak_c.csv diff --git a/SurgeData/N=1000/859-peak_w.csv b/SurgeData/859-peak_w.csv similarity index 100% rename from SurgeData/N=1000/859-peak_w.csv rename to SurgeData/859-peak_w.csv diff --git a/SurgeData/N=1000/859-surge_c.csv b/SurgeData/859-surge_c.csv similarity index 100% rename from SurgeData/N=1000/859-surge_c.csv rename to SurgeData/859-surge_c.csv diff --git a/SurgeData/N=1000/859-surge_w.csv b/SurgeData/859-surge_w.csv similarity index 100% rename from SurgeData/N=1000/859-surge_w.csv rename to SurgeData/859-surge_w.csv diff --git a/SurgeData/N=1000/859-time_c.csv b/SurgeData/859-time_c.csv similarity index 100% rename from SurgeData/N=1000/859-time_c.csv rename to SurgeData/859-time_c.csv diff --git a/SurgeData/N=1000/859-time_w.csv b/SurgeData/859-time_w.csv similarity index 100% rename from SurgeData/N=1000/859-time_w.csv rename to SurgeData/859-time_w.csv diff --git a/SurgeData/N=1000/859-waterlevel_c.csv b/SurgeData/859-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/859-waterlevel_c.csv rename to SurgeData/859-waterlevel_c.csv diff --git a/SurgeData/N=1000/859-waterlevel_w.csv b/SurgeData/859-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/859-waterlevel_w.csv rename to SurgeData/859-waterlevel_w.csv diff --git a/SurgeData/86-num_storm.csv b/SurgeData/86-num_storm.csv new file mode 100644 index 00000000..536b9c82 --- /dev/null +++ b/SurgeData/86-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,5.0 +2022,2.0,6.0 +2023,0.0,4.0 +2024,3.0,3.0 +2025,2.0,5.0 +2026,1.0,0.0 +2027,2.0,4.0 +2028,1.0,5.0 +2029,2.0,3.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,3.0,4.0 +2033,1.0,4.0 +2034,2.0,7.0 +2035,2.0,5.0 +2036,0.0,5.0 +2037,1.0,2.0 +2038,2.0,3.0 +2039,0.0,2.0 +2040,2.0,5.0 +2041,0.0,4.0 +2042,5.0,4.0 +2043,1.0,4.0 +2044,2.0,3.0 +2045,4.0,1.0 +2046,4.0,3.0 +2047,0.0,4.0 +2048,2.0,3.0 +2049,1.0,3.0 +2050,2.0,4.0 +2051,5.0,4.0 +2052,1.0,2.0 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SurgeData/N=1000/86-peak+year_w.csv rename to SurgeData/86-peak+year_w.csv diff --git a/SurgeData/N=1000/86-peak_c.csv b/SurgeData/86-peak_c.csv similarity index 100% rename from SurgeData/N=1000/86-peak_c.csv rename to SurgeData/86-peak_c.csv diff --git a/SurgeData/N=1000/86-peak_w.csv b/SurgeData/86-peak_w.csv similarity index 100% rename from SurgeData/N=1000/86-peak_w.csv rename to SurgeData/86-peak_w.csv diff --git a/SurgeData/N=1000/86-surge_c.csv b/SurgeData/86-surge_c.csv similarity index 100% rename from SurgeData/N=1000/86-surge_c.csv rename to SurgeData/86-surge_c.csv diff --git a/SurgeData/N=1000/86-surge_w.csv b/SurgeData/86-surge_w.csv similarity index 100% rename from SurgeData/N=1000/86-surge_w.csv rename to SurgeData/86-surge_w.csv diff --git a/SurgeData/N=1000/86-time_c.csv b/SurgeData/86-time_c.csv similarity index 100% rename from SurgeData/N=1000/86-time_c.csv rename to SurgeData/86-time_c.csv diff --git a/SurgeData/N=1000/86-time_w.csv b/SurgeData/86-time_w.csv similarity index 100% rename from SurgeData/N=1000/86-time_w.csv rename to SurgeData/86-time_w.csv diff --git a/SurgeData/N=1000/86-waterlevel_c.csv b/SurgeData/86-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/86-waterlevel_c.csv rename to SurgeData/86-waterlevel_c.csv diff --git a/SurgeData/N=1000/86-waterlevel_w.csv b/SurgeData/86-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/86-waterlevel_w.csv rename to SurgeData/86-waterlevel_w.csv diff --git a/SurgeData/860-num_storm.csv b/SurgeData/860-num_storm.csv new file mode 100644 index 00000000..7d59ea3c --- /dev/null +++ b/SurgeData/860-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,2.0,6.0 +2022,0.0,4.0 +2023,4.0,7.0 +2024,0.0,2.0 +2025,2.0,3.0 +2026,3.0,2.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,2.0,0.0 +2030,2.0,2.0 +2031,1.0,4.0 +2032,1.0,4.0 +2033,0.0,8.0 +2034,1.0,3.0 +2035,0.0,9.0 +2036,1.0,8.0 +2037,1.0,6.0 +2038,4.0,3.0 +2039,5.0,8.0 +2040,0.0,6.0 +2041,3.0,3.0 +2042,1.0,4.0 +2043,1.0,3.0 +2044,3.0,3.0 +2045,4.0,3.0 +2046,0.0,3.0 +2047,0.0,5.0 +2048,1.0,3.0 +2049,1.0,5.0 +2050,2.0,4.0 +2051,1.0,5.0 +2052,1.0,4.0 +2053,0.0,2.0 +2054,2.0,4.0 +2055,1.0,2.0 +2056,5.0,5.0 +2057,1.0,4.0 +2058,0.0,2.0 +2059,3.0,3.0 +2060,1.0,4.0 +2061,0.0,3.0 +2062,1.0,7.0 +2063,2.0,5.0 +2064,3.0,7.0 +2065,1.0,11.0 +2066,1.0,1.0 +2067,0.0,1.0 +2068,0.0,4.0 +2069,0.0,4.0 +2070,3.0,6.0 +2071,1.0,2.0 +2072,0.0,5.0 +2073,1.0,0.0 +2074,2.0,1.0 +2075,1.0,0.0 +2076,0.0,1.0 +2077,3.0,6.0 +2078,2.0,3.0 +2079,1.0,5.0 +2080,1.0,1.0 +2081,3.0,4.0 +2082,0.0,4.0 +2083,4.0,4.0 +2084,1.0,0.0 +2085,2.0,4.0 +2086,4.0,2.0 +2087,0.0,3.0 +2088,2.0,6.0 +2089,0.0,1.0 +2090,1.0,4.0 +2091,1.0,3.0 +2092,1.0,3.0 +2093,2.0,3.0 +2094,0.0,7.0 +2095,2.0,3.0 +2096,0.0,6.0 +2097,3.0,2.0 +2098,2.0,1.0 +2099,0.0,7.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/860-peak+year_c.csv b/SurgeData/860-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/860-peak+year_c.csv rename to SurgeData/860-peak+year_c.csv diff --git a/SurgeData/N=1000/860-peak+year_w.csv b/SurgeData/860-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/860-peak+year_w.csv rename to SurgeData/860-peak+year_w.csv diff --git a/SurgeData/N=1000/860-peak_c.csv b/SurgeData/860-peak_c.csv similarity index 100% rename from SurgeData/N=1000/860-peak_c.csv rename to SurgeData/860-peak_c.csv diff --git a/SurgeData/N=1000/860-peak_w.csv b/SurgeData/860-peak_w.csv similarity index 100% rename from SurgeData/N=1000/860-peak_w.csv rename to SurgeData/860-peak_w.csv diff --git a/SurgeData/N=1000/860-surge_c.csv b/SurgeData/860-surge_c.csv similarity index 100% rename from SurgeData/N=1000/860-surge_c.csv rename to SurgeData/860-surge_c.csv diff --git a/SurgeData/N=1000/860-surge_w.csv b/SurgeData/860-surge_w.csv similarity index 100% rename from SurgeData/N=1000/860-surge_w.csv rename to SurgeData/860-surge_w.csv diff --git a/SurgeData/N=1000/860-time_c.csv b/SurgeData/860-time_c.csv similarity index 100% rename from SurgeData/N=1000/860-time_c.csv rename to SurgeData/860-time_c.csv diff --git a/SurgeData/N=1000/860-time_w.csv b/SurgeData/860-time_w.csv similarity index 100% rename from SurgeData/N=1000/860-time_w.csv rename to SurgeData/860-time_w.csv diff --git a/SurgeData/N=1000/860-waterlevel_c.csv b/SurgeData/860-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/860-waterlevel_c.csv rename to SurgeData/860-waterlevel_c.csv diff --git a/SurgeData/N=1000/860-waterlevel_w.csv b/SurgeData/860-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/860-waterlevel_w.csv rename to SurgeData/860-waterlevel_w.csv diff --git a/SurgeData/861-num_storm.csv b/SurgeData/861-num_storm.csv new file mode 100644 index 00000000..513e5a2c --- /dev/null +++ b/SurgeData/861-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,1.0,4.0 +2022,0.0,4.0 +2023,0.0,4.0 +2024,3.0,4.0 +2025,2.0,4.0 +2026,1.0,2.0 +2027,2.0,3.0 +2028,0.0,3.0 +2029,2.0,5.0 +2030,0.0,8.0 +2031,2.0,3.0 +2032,2.0,7.0 +2033,0.0,5.0 +2034,3.0,3.0 +2035,3.0,4.0 +2036,2.0,2.0 +2037,2.0,0.0 +2038,1.0,4.0 +2039,0.0,3.0 +2040,0.0,7.0 +2041,2.0,5.0 +2042,4.0,5.0 +2043,3.0,6.0 +2044,0.0,3.0 +2045,0.0,6.0 +2046,1.0,4.0 +2047,0.0,7.0 +2048,1.0,3.0 +2049,0.0,5.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,1.0,5.0 +2053,2.0,7.0 +2054,1.0,3.0 +2055,4.0,9.0 +2056,3.0,5.0 +2057,2.0,3.0 +2058,4.0,2.0 +2059,4.0,5.0 +2060,1.0,2.0 +2061,0.0,3.0 +2062,2.0,7.0 +2063,2.0,2.0 +2064,6.0,2.0 +2065,0.0,8.0 +2066,1.0,5.0 +2067,1.0,2.0 +2068,1.0,4.0 +2069,0.0,3.0 +2070,2.0,5.0 +2071,2.0,4.0 +2072,1.0,3.0 +2073,1.0,3.0 +2074,1.0,1.0 +2075,3.0,8.0 +2076,0.0,2.0 +2077,2.0,5.0 +2078,1.0,7.0 +2079,1.0,5.0 +2080,2.0,2.0 +2081,2.0,3.0 +2082,1.0,2.0 +2083,1.0,6.0 +2084,2.0,5.0 +2085,1.0,5.0 +2086,1.0,2.0 +2087,0.0,7.0 +2088,4.0,3.0 +2089,2.0,3.0 +2090,4.0,6.0 +2091,2.0,4.0 +2092,0.0,4.0 +2093,2.0,5.0 +2094,1.0,5.0 +2095,1.0,7.0 +2096,1.0,5.0 +2097,1.0,6.0 +2098,2.0,2.0 +2099,2.0,9.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/861-peak+year_c.csv b/SurgeData/861-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/861-peak+year_c.csv rename to SurgeData/861-peak+year_c.csv diff --git a/SurgeData/N=1000/861-peak+year_w.csv b/SurgeData/861-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/861-peak+year_w.csv rename to SurgeData/861-peak+year_w.csv diff --git a/SurgeData/N=1000/861-peak_c.csv b/SurgeData/861-peak_c.csv similarity index 100% rename from SurgeData/N=1000/861-peak_c.csv rename to SurgeData/861-peak_c.csv diff --git a/SurgeData/N=1000/861-peak_w.csv b/SurgeData/861-peak_w.csv similarity index 100% rename from SurgeData/N=1000/861-peak_w.csv rename to SurgeData/861-peak_w.csv diff --git a/SurgeData/N=1000/861-surge_c.csv b/SurgeData/861-surge_c.csv similarity index 100% rename from SurgeData/N=1000/861-surge_c.csv rename to SurgeData/861-surge_c.csv diff --git a/SurgeData/N=1000/861-surge_w.csv b/SurgeData/861-surge_w.csv similarity index 100% rename from SurgeData/N=1000/861-surge_w.csv rename to SurgeData/861-surge_w.csv diff --git a/SurgeData/N=1000/861-time_c.csv b/SurgeData/861-time_c.csv similarity index 100% rename from SurgeData/N=1000/861-time_c.csv rename to SurgeData/861-time_c.csv diff --git a/SurgeData/N=1000/861-time_w.csv b/SurgeData/861-time_w.csv similarity index 100% rename from SurgeData/N=1000/861-time_w.csv rename to SurgeData/861-time_w.csv diff --git a/SurgeData/N=1000/861-waterlevel_c.csv b/SurgeData/861-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/861-waterlevel_c.csv rename to SurgeData/861-waterlevel_c.csv diff --git a/SurgeData/N=1000/861-waterlevel_w.csv b/SurgeData/861-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/861-waterlevel_w.csv rename to SurgeData/861-waterlevel_w.csv diff --git a/SurgeData/N=1000/862-peak+year_c.csv b/SurgeData/862-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/862-peak+year_c.csv rename to SurgeData/862-peak+year_c.csv diff --git a/SurgeData/N=1000/862-peak+year_w.csv b/SurgeData/862-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/862-peak+year_w.csv rename to SurgeData/862-peak+year_w.csv diff --git a/SurgeData/N=1000/862-peak_c.csv b/SurgeData/862-peak_c.csv similarity index 100% rename from SurgeData/N=1000/862-peak_c.csv rename to SurgeData/862-peak_c.csv diff --git a/SurgeData/N=1000/862-peak_w.csv b/SurgeData/862-peak_w.csv similarity index 100% rename from SurgeData/N=1000/862-peak_w.csv rename to SurgeData/862-peak_w.csv diff --git a/SurgeData/N=1000/862-surge_c.csv b/SurgeData/862-surge_c.csv similarity index 100% rename from SurgeData/N=1000/862-surge_c.csv rename to SurgeData/862-surge_c.csv diff --git a/SurgeData/N=1000/862-surge_w.csv b/SurgeData/862-surge_w.csv similarity index 100% rename from SurgeData/N=1000/862-surge_w.csv rename to SurgeData/862-surge_w.csv diff --git a/SurgeData/N=1000/862-time_c.csv b/SurgeData/862-time_c.csv similarity index 100% rename from SurgeData/N=1000/862-time_c.csv rename to SurgeData/862-time_c.csv diff --git a/SurgeData/N=1000/862-time_w.csv b/SurgeData/862-time_w.csv similarity index 100% rename from SurgeData/N=1000/862-time_w.csv rename to SurgeData/862-time_w.csv diff --git a/SurgeData/N=1000/862-waterlevel_c.csv b/SurgeData/862-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/862-waterlevel_c.csv rename to SurgeData/862-waterlevel_c.csv diff --git a/SurgeData/N=1000/862-waterlevel_w.csv b/SurgeData/862-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/862-waterlevel_w.csv rename to SurgeData/862-waterlevel_w.csv diff --git a/SurgeData/863-num_storm.csv b/SurgeData/863-num_storm.csv new file mode 100644 index 00000000..4f79e363 --- /dev/null +++ b/SurgeData/863-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,5.0 +2022,2.0,4.0 +2023,2.0,5.0 +2024,4.0,5.0 +2025,0.0,3.0 +2026,2.0,6.0 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+2098,0.0,4.0 +2099,1.0,7.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/863-peak+year_c.csv b/SurgeData/863-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/863-peak+year_c.csv rename to SurgeData/863-peak+year_c.csv diff --git a/SurgeData/N=1000/863-peak+year_w.csv b/SurgeData/863-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/863-peak+year_w.csv rename to SurgeData/863-peak+year_w.csv diff --git a/SurgeData/N=1000/863-peak_c.csv b/SurgeData/863-peak_c.csv similarity index 100% rename from SurgeData/N=1000/863-peak_c.csv rename to SurgeData/863-peak_c.csv diff --git a/SurgeData/N=1000/863-peak_w.csv b/SurgeData/863-peak_w.csv similarity index 100% rename from SurgeData/N=1000/863-peak_w.csv rename to SurgeData/863-peak_w.csv diff --git a/SurgeData/N=1000/863-surge_c.csv b/SurgeData/863-surge_c.csv similarity index 100% rename from SurgeData/N=1000/863-surge_c.csv rename to SurgeData/863-surge_c.csv diff --git a/SurgeData/N=1000/863-surge_w.csv b/SurgeData/863-surge_w.csv similarity index 100% rename from SurgeData/N=1000/863-surge_w.csv rename to SurgeData/863-surge_w.csv diff --git a/SurgeData/N=1000/863-time_c.csv b/SurgeData/863-time_c.csv similarity index 100% rename from SurgeData/N=1000/863-time_c.csv rename to SurgeData/863-time_c.csv diff --git a/SurgeData/N=1000/863-time_w.csv b/SurgeData/863-time_w.csv similarity index 100% rename from SurgeData/N=1000/863-time_w.csv rename to SurgeData/863-time_w.csv diff --git a/SurgeData/N=1000/863-waterlevel_c.csv b/SurgeData/863-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/863-waterlevel_c.csv rename to SurgeData/863-waterlevel_c.csv diff --git a/SurgeData/N=1000/863-waterlevel_w.csv b/SurgeData/863-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/863-waterlevel_w.csv rename to SurgeData/863-waterlevel_w.csv diff --git a/SurgeData/864-num_storm.csv b/SurgeData/864-num_storm.csv new file mode 100644 index 00000000..760c5cf6 --- /dev/null +++ b/SurgeData/864-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,0.0,4.0 +2022,3.0,4.0 +2023,1.0,7.0 +2024,1.0,4.0 +2025,2.0,5.0 +2026,2.0,5.0 +2027,1.0,3.0 +2028,1.0,7.0 +2029,1.0,4.0 +2030,0.0,3.0 +2031,1.0,2.0 +2032,1.0,7.0 +2033,3.0,5.0 +2034,2.0,10.0 +2035,1.0,5.0 +2036,0.0,6.0 +2037,2.0,3.0 +2038,1.0,4.0 +2039,2.0,4.0 +2040,1.0,1.0 +2041,5.0,6.0 +2042,1.0,7.0 +2043,2.0,5.0 +2044,1.0,3.0 +2045,4.0,2.0 +2046,1.0,4.0 +2047,3.0,3.0 +2048,0.0,5.0 +2049,4.0,4.0 +2050,1.0,5.0 +2051,0.0,4.0 +2052,2.0,5.0 +2053,1.0,2.0 +2054,1.0,4.0 +2055,1.0,5.0 +2056,2.0,3.0 +2057,2.0,6.0 +2058,2.0,7.0 +2059,2.0,1.0 +2060,3.0,3.0 +2061,0.0,3.0 +2062,1.0,5.0 +2063,1.0,8.0 +2064,2.0,3.0 +2065,0.0,4.0 +2066,3.0,7.0 +2067,0.0,2.0 +2068,1.0,6.0 +2069,1.0,4.0 +2070,0.0,6.0 +2071,3.0,4.0 +2072,0.0,4.0 +2073,4.0,3.0 +2074,2.0,1.0 +2075,4.0,5.0 +2076,1.0,3.0 +2077,2.0,1.0 +2078,1.0,4.0 +2079,1.0,3.0 +2080,4.0,3.0 +2081,1.0,1.0 +2082,1.0,5.0 +2083,2.0,2.0 +2084,1.0,9.0 +2085,2.0,2.0 +2086,1.0,2.0 +2087,1.0,2.0 +2088,1.0,5.0 +2089,0.0,3.0 +2090,3.0,4.0 +2091,2.0,6.0 +2092,2.0,3.0 +2093,3.0,2.0 +2094,1.0,6.0 +2095,1.0,4.0 +2096,2.0,4.0 +2097,0.0,2.0 +2098,2.0,1.0 +2099,0.0,7.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/864-peak+year_c.csv b/SurgeData/864-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/864-peak+year_c.csv rename to SurgeData/864-peak+year_c.csv diff --git a/SurgeData/N=1000/864-peak+year_w.csv b/SurgeData/864-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/864-peak+year_w.csv rename to SurgeData/864-peak+year_w.csv diff --git a/SurgeData/N=1000/864-peak_c.csv b/SurgeData/864-peak_c.csv similarity index 100% rename from SurgeData/N=1000/864-peak_c.csv rename to SurgeData/864-peak_c.csv diff --git a/SurgeData/N=1000/864-peak_w.csv b/SurgeData/864-peak_w.csv similarity index 100% rename from SurgeData/N=1000/864-peak_w.csv rename to SurgeData/864-peak_w.csv diff --git a/SurgeData/N=1000/864-surge_c.csv b/SurgeData/864-surge_c.csv similarity index 100% rename from SurgeData/N=1000/864-surge_c.csv rename to SurgeData/864-surge_c.csv diff --git a/SurgeData/N=1000/864-surge_w.csv b/SurgeData/864-surge_w.csv similarity index 100% rename from SurgeData/N=1000/864-surge_w.csv rename to SurgeData/864-surge_w.csv diff --git a/SurgeData/N=1000/864-time_c.csv b/SurgeData/864-time_c.csv similarity index 100% rename from SurgeData/N=1000/864-time_c.csv rename to SurgeData/864-time_c.csv diff --git a/SurgeData/N=1000/864-time_w.csv b/SurgeData/864-time_w.csv similarity index 100% rename from SurgeData/N=1000/864-time_w.csv rename to SurgeData/864-time_w.csv diff --git a/SurgeData/N=1000/864-waterlevel_c.csv b/SurgeData/864-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/864-waterlevel_c.csv rename to SurgeData/864-waterlevel_c.csv diff --git a/SurgeData/N=1000/864-waterlevel_w.csv b/SurgeData/864-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/864-waterlevel_w.csv rename to SurgeData/864-waterlevel_w.csv diff --git a/SurgeData/865-num_storm.csv b/SurgeData/865-num_storm.csv new file mode 100644 index 00000000..424363d9 --- /dev/null +++ b/SurgeData/865-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,2.0,5.0 +2022,2.0,4.0 +2023,1.0,4.0 +2024,0.0,1.0 +2025,1.0,4.0 +2026,0.0,2.0 +2027,1.0,4.0 +2028,1.0,3.0 +2029,0.0,6.0 +2030,2.0,8.0 +2031,0.0,7.0 +2032,1.0,7.0 +2033,1.0,8.0 +2034,3.0,5.0 +2035,2.0,4.0 +2036,0.0,8.0 +2037,0.0,4.0 +2038,0.0,4.0 +2039,0.0,3.0 +2040,3.0,3.0 +2041,1.0,3.0 +2042,2.0,8.0 +2043,4.0,7.0 +2044,2.0,2.0 +2045,0.0,4.0 +2046,2.0,5.0 +2047,0.0,5.0 +2048,0.0,5.0 +2049,2.0,4.0 +2050,0.0,3.0 +2051,2.0,1.0 +2052,0.0,5.0 +2053,1.0,5.0 +2054,2.0,3.0 +2055,2.0,6.0 +2056,1.0,2.0 +2057,1.0,4.0 +2058,3.0,8.0 +2059,0.0,3.0 +2060,3.0,5.0 +2061,4.0,4.0 +2062,0.0,2.0 +2063,1.0,4.0 +2064,1.0,4.0 +2065,0.0,5.0 +2066,3.0,4.0 +2067,2.0,2.0 +2068,4.0,4.0 +2069,1.0,5.0 +2070,3.0,4.0 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a/SurgeData/N=1000/865-peak_w.csv b/SurgeData/865-peak_w.csv similarity index 100% rename from SurgeData/N=1000/865-peak_w.csv rename to SurgeData/865-peak_w.csv diff --git a/SurgeData/N=1000/865-surge_c.csv b/SurgeData/865-surge_c.csv similarity index 100% rename from SurgeData/N=1000/865-surge_c.csv rename to SurgeData/865-surge_c.csv diff --git a/SurgeData/N=1000/865-surge_w.csv b/SurgeData/865-surge_w.csv similarity index 100% rename from SurgeData/N=1000/865-surge_w.csv rename to SurgeData/865-surge_w.csv diff --git a/SurgeData/N=1000/865-time_c.csv b/SurgeData/865-time_c.csv similarity index 100% rename from SurgeData/N=1000/865-time_c.csv rename to SurgeData/865-time_c.csv diff --git a/SurgeData/N=1000/865-time_w.csv b/SurgeData/865-time_w.csv similarity index 100% rename from SurgeData/N=1000/865-time_w.csv rename to SurgeData/865-time_w.csv diff --git a/SurgeData/N=1000/865-waterlevel_c.csv b/SurgeData/865-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/865-waterlevel_c.csv rename to SurgeData/865-waterlevel_c.csv diff --git a/SurgeData/N=1000/865-waterlevel_w.csv b/SurgeData/865-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/865-waterlevel_w.csv rename to SurgeData/865-waterlevel_w.csv diff --git a/SurgeData/866-num_storm.csv b/SurgeData/866-num_storm.csv new file mode 100644 index 00000000..42f6ddd5 --- /dev/null +++ b/SurgeData/866-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,2.0 +2022,2.0,3.0 +2023,3.0,4.0 +2024,1.0,4.0 +2025,0.0,2.0 +2026,1.0,6.0 +2027,2.0,3.0 +2028,1.0,6.0 +2029,2.0,1.0 +2030,1.0,2.0 +2031,0.0,3.0 +2032,3.0,5.0 +2033,0.0,6.0 +2034,0.0,6.0 +2035,2.0,3.0 +2036,2.0,1.0 +2037,4.0,3.0 +2038,3.0,7.0 +2039,3.0,4.0 +2040,3.0,7.0 +2041,1.0,4.0 +2042,1.0,2.0 +2043,2.0,11.0 +2044,3.0,3.0 +2045,5.0,5.0 +2046,0.0,1.0 +2047,2.0,5.0 +2048,1.0,6.0 +2049,1.0,5.0 +2050,0.0,3.0 +2051,2.0,6.0 +2052,2.0,6.0 +2053,2.0,8.0 +2054,2.0,2.0 +2055,1.0,5.0 +2056,1.0,4.0 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SurgeData/866-peak+year_w.csv diff --git a/SurgeData/N=1000/866-peak_c.csv b/SurgeData/866-peak_c.csv similarity index 100% rename from SurgeData/N=1000/866-peak_c.csv rename to SurgeData/866-peak_c.csv diff --git a/SurgeData/N=1000/866-peak_w.csv b/SurgeData/866-peak_w.csv similarity index 100% rename from SurgeData/N=1000/866-peak_w.csv rename to SurgeData/866-peak_w.csv diff --git a/SurgeData/N=1000/866-surge_c.csv b/SurgeData/866-surge_c.csv similarity index 100% rename from SurgeData/N=1000/866-surge_c.csv rename to SurgeData/866-surge_c.csv diff --git a/SurgeData/N=1000/866-surge_w.csv b/SurgeData/866-surge_w.csv similarity index 100% rename from SurgeData/N=1000/866-surge_w.csv rename to SurgeData/866-surge_w.csv diff --git a/SurgeData/N=1000/866-time_c.csv b/SurgeData/866-time_c.csv similarity index 100% rename from SurgeData/N=1000/866-time_c.csv rename to SurgeData/866-time_c.csv diff --git a/SurgeData/N=1000/866-time_w.csv b/SurgeData/866-time_w.csv similarity index 100% rename from SurgeData/N=1000/866-time_w.csv rename to SurgeData/866-time_w.csv diff --git a/SurgeData/N=1000/866-waterlevel_c.csv b/SurgeData/866-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/866-waterlevel_c.csv rename to SurgeData/866-waterlevel_c.csv diff --git a/SurgeData/N=1000/866-waterlevel_w.csv b/SurgeData/866-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/866-waterlevel_w.csv rename to SurgeData/866-waterlevel_w.csv diff --git a/SurgeData/867-num_storm.csv b/SurgeData/867-num_storm.csv new file mode 100644 index 00000000..3078b2cf --- /dev/null +++ b/SurgeData/867-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,3.0,2.0 +2022,1.0,3.0 +2023,2.0,2.0 +2024,0.0,3.0 +2025,2.0,5.0 +2026,1.0,3.0 +2027,2.0,4.0 +2028,1.0,3.0 +2029,0.0,2.0 +2030,2.0,3.0 +2031,0.0,7.0 +2032,4.0,3.0 +2033,1.0,4.0 +2034,1.0,2.0 +2035,1.0,5.0 +2036,2.0,4.0 +2037,1.0,2.0 +2038,2.0,5.0 +2039,2.0,4.0 +2040,3.0,4.0 +2041,1.0,2.0 +2042,1.0,4.0 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SurgeData/867-peak+year_c.csv diff --git a/SurgeData/N=1000/867-peak+year_w.csv b/SurgeData/867-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/867-peak+year_w.csv rename to SurgeData/867-peak+year_w.csv diff --git a/SurgeData/N=1000/867-peak_c.csv b/SurgeData/867-peak_c.csv similarity index 100% rename from SurgeData/N=1000/867-peak_c.csv rename to SurgeData/867-peak_c.csv diff --git a/SurgeData/N=1000/867-peak_w.csv b/SurgeData/867-peak_w.csv similarity index 100% rename from SurgeData/N=1000/867-peak_w.csv rename to SurgeData/867-peak_w.csv diff --git a/SurgeData/N=1000/867-surge_c.csv b/SurgeData/867-surge_c.csv similarity index 100% rename from SurgeData/N=1000/867-surge_c.csv rename to SurgeData/867-surge_c.csv diff --git a/SurgeData/N=1000/867-surge_w.csv b/SurgeData/867-surge_w.csv similarity index 100% rename from SurgeData/N=1000/867-surge_w.csv rename to SurgeData/867-surge_w.csv diff --git a/SurgeData/N=1000/867-time_c.csv b/SurgeData/867-time_c.csv similarity index 100% rename from SurgeData/N=1000/867-time_c.csv rename to SurgeData/867-time_c.csv diff --git a/SurgeData/N=1000/867-time_w.csv b/SurgeData/867-time_w.csv similarity index 100% rename from SurgeData/N=1000/867-time_w.csv rename to SurgeData/867-time_w.csv diff --git a/SurgeData/N=1000/867-waterlevel_c.csv b/SurgeData/867-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/867-waterlevel_c.csv rename to SurgeData/867-waterlevel_c.csv diff --git a/SurgeData/N=1000/867-waterlevel_w.csv b/SurgeData/867-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/867-waterlevel_w.csv rename to SurgeData/867-waterlevel_w.csv diff --git a/SurgeData/N=1000/868-peak+year_c.csv b/SurgeData/868-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/868-peak+year_c.csv rename to SurgeData/868-peak+year_c.csv diff --git a/SurgeData/N=1000/868-peak+year_w.csv b/SurgeData/868-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/868-peak+year_w.csv rename to SurgeData/868-peak+year_w.csv diff --git a/SurgeData/N=1000/868-peak_c.csv b/SurgeData/868-peak_c.csv similarity index 100% rename from SurgeData/N=1000/868-peak_c.csv rename to SurgeData/868-peak_c.csv diff --git a/SurgeData/N=1000/868-peak_w.csv b/SurgeData/868-peak_w.csv similarity index 100% rename from SurgeData/N=1000/868-peak_w.csv rename to SurgeData/868-peak_w.csv diff --git a/SurgeData/N=1000/868-surge_c.csv b/SurgeData/868-surge_c.csv similarity index 100% rename from SurgeData/N=1000/868-surge_c.csv rename to SurgeData/868-surge_c.csv diff --git a/SurgeData/N=1000/868-surge_w.csv b/SurgeData/868-surge_w.csv similarity index 100% rename from SurgeData/N=1000/868-surge_w.csv rename to SurgeData/868-surge_w.csv diff --git a/SurgeData/N=1000/868-time_c.csv b/SurgeData/868-time_c.csv similarity index 100% rename from SurgeData/N=1000/868-time_c.csv rename to SurgeData/868-time_c.csv diff --git a/SurgeData/N=1000/868-time_w.csv b/SurgeData/868-time_w.csv similarity index 100% rename from SurgeData/N=1000/868-time_w.csv rename to SurgeData/868-time_w.csv diff --git a/SurgeData/N=1000/868-waterlevel_c.csv b/SurgeData/868-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/868-waterlevel_c.csv rename to SurgeData/868-waterlevel_c.csv diff --git a/SurgeData/N=1000/868-waterlevel_w.csv b/SurgeData/868-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/868-waterlevel_w.csv rename to SurgeData/868-waterlevel_w.csv diff --git a/SurgeData/869-num_storm.csv b/SurgeData/869-num_storm.csv new file mode 100644 index 00000000..dcd14c8e --- /dev/null +++ b/SurgeData/869-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,2.0 +2022,1.0,5.0 +2023,0.0,2.0 +2024,5.0,5.0 +2025,3.0,9.0 +2026,0.0,4.0 +2027,2.0,2.0 +2028,0.0,3.0 +2029,2.0,6.0 +2030,2.0,5.0 +2031,1.0,7.0 +2032,1.0,4.0 +2033,1.0,3.0 +2034,1.0,2.0 +2035,1.0,7.0 +2036,1.0,4.0 +2037,4.0,6.0 +2038,0.0,4.0 +2039,3.0,5.0 +2040,3.0,3.0 +2041,0.0,2.0 +2042,0.0,7.0 +2043,3.0,2.0 +2044,1.0,5.0 +2045,3.0,5.0 +2046,2.0,6.0 +2047,1.0,5.0 +2048,0.0,4.0 +2049,2.0,2.0 +2050,1.0,3.0 +2051,1.0,2.0 +2052,1.0,9.0 +2053,2.0,6.0 +2054,1.0,5.0 +2055,1.0,0.0 +2056,3.0,4.0 +2057,1.0,7.0 +2058,4.0,4.0 +2059,2.0,3.0 +2060,1.0,5.0 +2061,3.0,5.0 +2062,2.0,1.0 +2063,0.0,2.0 +2064,1.0,3.0 +2065,2.0,5.0 +2066,0.0,6.0 +2067,0.0,4.0 +2068,1.0,6.0 +2069,3.0,2.0 +2070,6.0,6.0 +2071,0.0,2.0 +2072,4.0,2.0 +2073,2.0,5.0 +2074,1.0,1.0 +2075,2.0,3.0 +2076,2.0,2.0 +2077,2.0,3.0 +2078,3.0,5.0 +2079,2.0,6.0 +2080,3.0,1.0 +2081,0.0,8.0 +2082,4.0,6.0 +2083,0.0,5.0 +2084,0.0,6.0 +2085,2.0,8.0 +2086,3.0,3.0 +2087,2.0,6.0 +2088,1.0,4.0 +2089,3.0,6.0 +2090,3.0,2.0 +2091,2.0,4.0 +2092,1.0,6.0 +2093,2.0,2.0 +2094,0.0,5.0 +2095,2.0,1.0 +2096,1.0,4.0 +2097,2.0,9.0 +2098,1.0,6.0 +2099,3.0,4.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/869-peak+year_c.csv b/SurgeData/869-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/869-peak+year_c.csv rename to SurgeData/869-peak+year_c.csv diff --git a/SurgeData/N=1000/869-peak+year_w.csv b/SurgeData/869-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/869-peak+year_w.csv rename to SurgeData/869-peak+year_w.csv diff --git a/SurgeData/N=1000/869-peak_c.csv b/SurgeData/869-peak_c.csv similarity index 100% rename from SurgeData/N=1000/869-peak_c.csv rename to SurgeData/869-peak_c.csv diff --git a/SurgeData/N=1000/869-peak_w.csv b/SurgeData/869-peak_w.csv similarity index 100% rename from SurgeData/N=1000/869-peak_w.csv rename to SurgeData/869-peak_w.csv diff --git a/SurgeData/N=1000/869-surge_c.csv b/SurgeData/869-surge_c.csv similarity index 100% rename from SurgeData/N=1000/869-surge_c.csv rename to SurgeData/869-surge_c.csv diff --git a/SurgeData/N=1000/869-surge_w.csv b/SurgeData/869-surge_w.csv similarity index 100% rename from SurgeData/N=1000/869-surge_w.csv rename to SurgeData/869-surge_w.csv diff --git a/SurgeData/N=1000/869-time_c.csv b/SurgeData/869-time_c.csv similarity index 100% rename from SurgeData/N=1000/869-time_c.csv rename to SurgeData/869-time_c.csv diff --git a/SurgeData/N=1000/869-time_w.csv b/SurgeData/869-time_w.csv similarity index 100% rename from SurgeData/N=1000/869-time_w.csv rename to SurgeData/869-time_w.csv diff --git a/SurgeData/N=1000/869-waterlevel_c.csv b/SurgeData/869-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/869-waterlevel_c.csv rename to SurgeData/869-waterlevel_c.csv diff --git a/SurgeData/N=1000/869-waterlevel_w.csv b/SurgeData/869-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/869-waterlevel_w.csv rename to SurgeData/869-waterlevel_w.csv diff --git a/SurgeData/87-num_storm.csv b/SurgeData/87-num_storm.csv new file mode 100644 index 00000000..af958b7d --- /dev/null +++ b/SurgeData/87-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,1.0 +2022,2.0,2.0 +2023,4.0,3.0 +2024,3.0,4.0 +2025,2.0,4.0 +2026,1.0,3.0 +2027,3.0,4.0 +2028,1.0,4.0 +2029,0.0,5.0 +2030,2.0,2.0 +2031,3.0,2.0 +2032,3.0,3.0 +2033,0.0,8.0 +2034,1.0,3.0 +2035,3.0,9.0 +2036,1.0,3.0 +2037,2.0,9.0 +2038,5.0,4.0 +2039,0.0,3.0 +2040,1.0,7.0 +2041,4.0,5.0 +2042,2.0,4.0 +2043,2.0,4.0 +2044,2.0,3.0 +2045,2.0,3.0 +2046,3.0,1.0 +2047,3.0,0.0 +2048,1.0,3.0 +2049,1.0,3.0 +2050,2.0,1.0 +2051,2.0,1.0 +2052,1.0,3.0 +2053,2.0,5.0 +2054,2.0,2.0 +2055,3.0,5.0 +2056,5.0,5.0 +2057,2.0,6.0 +2058,1.0,6.0 +2059,1.0,2.0 +2060,3.0,7.0 +2061,3.0,5.0 +2062,1.0,5.0 +2063,3.0,5.0 +2064,2.0,0.0 +2065,0.0,3.0 +2066,2.0,4.0 +2067,1.0,3.0 +2068,1.0,3.0 +2069,1.0,6.0 +2070,2.0,4.0 +2071,0.0,3.0 +2072,0.0,6.0 +2073,1.0,4.0 +2074,1.0,10.0 +2075,0.0,6.0 +2076,0.0,3.0 +2077,3.0,7.0 +2078,4.0,4.0 +2079,0.0,7.0 +2080,0.0,5.0 +2081,6.0,6.0 +2082,2.0,6.0 +2083,3.0,5.0 +2084,3.0,1.0 +2085,0.0,3.0 +2086,4.0,4.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,2.0,8.0 +2090,1.0,8.0 +2091,2.0,4.0 +2092,1.0,4.0 +2093,1.0,8.0 +2094,1.0,2.0 +2095,3.0,4.0 +2096,1.0,3.0 +2097,2.0,2.0 +2098,0.0,5.0 +2099,3.0,7.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/87-peak+year_c.csv b/SurgeData/87-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/87-peak+year_c.csv rename to SurgeData/87-peak+year_c.csv diff --git a/SurgeData/N=1000/87-peak+year_w.csv b/SurgeData/87-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/87-peak+year_w.csv rename to SurgeData/87-peak+year_w.csv diff --git a/SurgeData/N=1000/87-peak_c.csv b/SurgeData/87-peak_c.csv similarity index 100% rename from SurgeData/N=1000/87-peak_c.csv rename to SurgeData/87-peak_c.csv diff --git a/SurgeData/N=1000/87-peak_w.csv b/SurgeData/87-peak_w.csv similarity index 100% rename from SurgeData/N=1000/87-peak_w.csv rename to SurgeData/87-peak_w.csv diff --git a/SurgeData/N=1000/87-surge_c.csv b/SurgeData/87-surge_c.csv similarity index 100% rename from SurgeData/N=1000/87-surge_c.csv rename to SurgeData/87-surge_c.csv diff --git a/SurgeData/N=1000/87-surge_w.csv b/SurgeData/87-surge_w.csv similarity index 100% rename from SurgeData/N=1000/87-surge_w.csv rename to SurgeData/87-surge_w.csv diff --git a/SurgeData/N=1000/87-time_c.csv b/SurgeData/87-time_c.csv similarity index 100% rename from SurgeData/N=1000/87-time_c.csv rename to SurgeData/87-time_c.csv diff --git a/SurgeData/N=1000/87-time_w.csv b/SurgeData/87-time_w.csv similarity index 100% rename from SurgeData/N=1000/87-time_w.csv rename to SurgeData/87-time_w.csv diff --git a/SurgeData/N=1000/87-waterlevel_c.csv b/SurgeData/87-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/87-waterlevel_c.csv rename to SurgeData/87-waterlevel_c.csv diff --git a/SurgeData/N=1000/87-waterlevel_w.csv b/SurgeData/87-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/87-waterlevel_w.csv rename to SurgeData/87-waterlevel_w.csv diff --git a/SurgeData/N=1000/870-peak+year_c.csv b/SurgeData/870-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/870-peak+year_c.csv rename to SurgeData/870-peak+year_c.csv diff --git a/SurgeData/N=1000/870-peak+year_w.csv b/SurgeData/870-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/870-peak+year_w.csv rename to SurgeData/870-peak+year_w.csv diff --git a/SurgeData/N=1000/870-peak_c.csv b/SurgeData/870-peak_c.csv similarity index 100% rename from SurgeData/N=1000/870-peak_c.csv rename to SurgeData/870-peak_c.csv diff --git a/SurgeData/N=1000/870-peak_w.csv b/SurgeData/870-peak_w.csv similarity index 100% rename from SurgeData/N=1000/870-peak_w.csv rename to SurgeData/870-peak_w.csv diff --git a/SurgeData/N=1000/870-surge_c.csv b/SurgeData/870-surge_c.csv similarity index 100% rename from SurgeData/N=1000/870-surge_c.csv rename to SurgeData/870-surge_c.csv diff --git a/SurgeData/N=1000/870-surge_w.csv b/SurgeData/870-surge_w.csv similarity index 100% rename from SurgeData/N=1000/870-surge_w.csv rename to SurgeData/870-surge_w.csv diff --git a/SurgeData/N=1000/870-time_c.csv b/SurgeData/870-time_c.csv similarity index 100% rename from SurgeData/N=1000/870-time_c.csv rename to SurgeData/870-time_c.csv diff --git a/SurgeData/N=1000/870-time_w.csv b/SurgeData/870-time_w.csv similarity index 100% rename from SurgeData/N=1000/870-time_w.csv rename to SurgeData/870-time_w.csv diff --git a/SurgeData/N=1000/870-waterlevel_c.csv b/SurgeData/870-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/870-waterlevel_c.csv rename to SurgeData/870-waterlevel_c.csv diff --git a/SurgeData/N=1000/870-waterlevel_w.csv b/SurgeData/870-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/870-waterlevel_w.csv rename to SurgeData/870-waterlevel_w.csv diff --git a/SurgeData/871-num_storm.csv b/SurgeData/871-num_storm.csv new file mode 100644 index 00000000..3630bba2 --- /dev/null +++ b/SurgeData/871-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,0.0,3.0 +2022,1.0,5.0 +2023,1.0,5.0 +2024,1.0,7.0 +2025,1.0,4.0 +2026,1.0,2.0 +2027,4.0,3.0 +2028,1.0,2.0 +2029,3.0,6.0 +2030,0.0,5.0 +2031,1.0,3.0 +2032,3.0,5.0 +2033,1.0,2.0 +2034,3.0,8.0 +2035,1.0,5.0 +2036,0.0,5.0 +2037,2.0,2.0 +2038,3.0,1.0 +2039,0.0,6.0 +2040,3.0,3.0 +2041,1.0,2.0 +2042,0.0,2.0 +2043,1.0,7.0 +2044,1.0,4.0 +2045,3.0,8.0 +2046,1.0,5.0 +2047,1.0,3.0 +2048,1.0,5.0 +2049,0.0,4.0 +2050,4.0,5.0 +2051,3.0,5.0 +2052,1.0,7.0 +2053,0.0,8.0 +2054,1.0,2.0 +2055,0.0,7.0 +2056,1.0,4.0 +2057,1.0,6.0 +2058,3.0,3.0 +2059,2.0,2.0 +2060,1.0,4.0 +2061,0.0,1.0 +2062,2.0,5.0 +2063,4.0,3.0 +2064,1.0,4.0 +2065,0.0,4.0 +2066,1.0,3.0 +2067,3.0,4.0 +2068,1.0,4.0 +2069,0.0,3.0 +2070,0.0,8.0 +2071,1.0,3.0 +2072,4.0,3.0 +2073,2.0,5.0 +2074,2.0,6.0 +2075,1.0,9.0 +2076,0.0,3.0 +2077,1.0,2.0 +2078,1.0,4.0 +2079,2.0,3.0 +2080,0.0,6.0 +2081,5.0,9.0 +2082,3.0,5.0 +2083,3.0,2.0 +2084,1.0,5.0 +2085,5.0,5.0 +2086,1.0,2.0 +2087,1.0,5.0 +2088,1.0,4.0 +2089,1.0,4.0 +2090,1.0,1.0 +2091,0.0,3.0 +2092,0.0,1.0 +2093,1.0,3.0 +2094,2.0,7.0 +2095,1.0,4.0 +2096,2.0,5.0 +2097,1.0,8.0 +2098,2.0,2.0 +2099,0.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/871-peak+year_c.csv b/SurgeData/871-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/871-peak+year_c.csv rename to SurgeData/871-peak+year_c.csv diff --git a/SurgeData/N=1000/871-peak+year_w.csv b/SurgeData/871-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/871-peak+year_w.csv rename to SurgeData/871-peak+year_w.csv diff --git a/SurgeData/N=1000/871-peak_c.csv b/SurgeData/871-peak_c.csv similarity index 100% rename from SurgeData/N=1000/871-peak_c.csv rename to SurgeData/871-peak_c.csv diff --git a/SurgeData/N=1000/871-peak_w.csv b/SurgeData/871-peak_w.csv similarity index 100% rename from SurgeData/N=1000/871-peak_w.csv rename to SurgeData/871-peak_w.csv diff --git a/SurgeData/N=1000/871-surge_c.csv b/SurgeData/871-surge_c.csv similarity index 100% rename from SurgeData/N=1000/871-surge_c.csv rename to SurgeData/871-surge_c.csv diff --git a/SurgeData/N=1000/871-surge_w.csv b/SurgeData/871-surge_w.csv similarity index 100% rename from SurgeData/N=1000/871-surge_w.csv rename to SurgeData/871-surge_w.csv diff --git a/SurgeData/N=1000/871-time_c.csv b/SurgeData/871-time_c.csv similarity index 100% rename from SurgeData/N=1000/871-time_c.csv rename to SurgeData/871-time_c.csv diff --git a/SurgeData/N=1000/871-time_w.csv b/SurgeData/871-time_w.csv similarity index 100% rename from SurgeData/N=1000/871-time_w.csv rename to SurgeData/871-time_w.csv diff --git a/SurgeData/N=1000/871-waterlevel_c.csv b/SurgeData/871-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/871-waterlevel_c.csv rename to SurgeData/871-waterlevel_c.csv diff --git a/SurgeData/N=1000/871-waterlevel_w.csv b/SurgeData/871-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/871-waterlevel_w.csv rename to SurgeData/871-waterlevel_w.csv diff --git a/SurgeData/872-num_storm.csv b/SurgeData/872-num_storm.csv new file mode 100644 index 00000000..f5a657ae --- /dev/null +++ b/SurgeData/872-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,4.0,5.0 +2022,0.0,8.0 +2023,3.0,7.0 +2024,0.0,4.0 +2025,4.0,3.0 +2026,2.0,3.0 +2027,4.0,5.0 +2028,2.0,4.0 +2029,1.0,9.0 +2030,3.0,2.0 +2031,4.0,3.0 +2032,2.0,1.0 +2033,3.0,3.0 +2034,1.0,1.0 +2035,2.0,5.0 +2036,3.0,8.0 +2037,2.0,3.0 +2038,2.0,4.0 +2039,1.0,4.0 +2040,3.0,5.0 +2041,1.0,4.0 +2042,1.0,5.0 +2043,1.0,6.0 +2044,3.0,4.0 +2045,2.0,3.0 +2046,0.0,2.0 +2047,0.0,5.0 +2048,0.0,3.0 +2049,1.0,5.0 +2050,0.0,5.0 +2051,1.0,4.0 +2052,0.0,7.0 +2053,2.0,7.0 +2054,0.0,7.0 +2055,2.0,3.0 +2056,0.0,8.0 +2057,1.0,2.0 +2058,1.0,4.0 +2059,2.0,9.0 +2060,1.0,6.0 +2061,4.0,2.0 +2062,0.0,4.0 +2063,2.0,2.0 +2064,2.0,7.0 +2065,0.0,5.0 +2066,0.0,4.0 +2067,1.0,3.0 +2068,2.0,3.0 +2069,2.0,4.0 +2070,1.0,2.0 +2071,2.0,5.0 +2072,1.0,4.0 +2073,0.0,2.0 +2074,2.0,4.0 +2075,0.0,0.0 +2076,1.0,8.0 +2077,2.0,4.0 +2078,1.0,2.0 +2079,2.0,6.0 +2080,1.0,3.0 +2081,0.0,7.0 +2082,4.0,5.0 +2083,1.0,3.0 +2084,2.0,4.0 +2085,0.0,2.0 +2086,3.0,6.0 +2087,2.0,4.0 +2088,1.0,3.0 +2089,2.0,6.0 +2090,3.0,6.0 +2091,2.0,3.0 +2092,3.0,4.0 +2093,0.0,4.0 +2094,0.0,4.0 +2095,3.0,8.0 +2096,0.0,12.0 +2097,3.0,3.0 +2098,1.0,8.0 +2099,2.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/872-peak+year_c.csv b/SurgeData/872-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/872-peak+year_c.csv rename to SurgeData/872-peak+year_c.csv diff --git a/SurgeData/N=1000/872-peak+year_w.csv b/SurgeData/872-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/872-peak+year_w.csv rename to SurgeData/872-peak+year_w.csv diff --git a/SurgeData/N=1000/872-peak_c.csv b/SurgeData/872-peak_c.csv similarity index 100% rename from SurgeData/N=1000/872-peak_c.csv rename to SurgeData/872-peak_c.csv diff --git a/SurgeData/N=1000/872-peak_w.csv b/SurgeData/872-peak_w.csv similarity index 100% rename from SurgeData/N=1000/872-peak_w.csv rename to SurgeData/872-peak_w.csv diff --git a/SurgeData/N=1000/872-surge_c.csv b/SurgeData/872-surge_c.csv similarity index 100% rename from SurgeData/N=1000/872-surge_c.csv rename to SurgeData/872-surge_c.csv diff --git a/SurgeData/N=1000/872-surge_w.csv b/SurgeData/872-surge_w.csv similarity index 100% rename from SurgeData/N=1000/872-surge_w.csv rename to SurgeData/872-surge_w.csv diff --git a/SurgeData/N=1000/872-time_c.csv b/SurgeData/872-time_c.csv similarity index 100% rename from SurgeData/N=1000/872-time_c.csv rename to SurgeData/872-time_c.csv diff --git a/SurgeData/N=1000/872-time_w.csv b/SurgeData/872-time_w.csv similarity index 100% rename from SurgeData/N=1000/872-time_w.csv rename to SurgeData/872-time_w.csv diff --git a/SurgeData/N=1000/872-waterlevel_c.csv b/SurgeData/872-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/872-waterlevel_c.csv rename to SurgeData/872-waterlevel_c.csv diff --git a/SurgeData/N=1000/872-waterlevel_w.csv b/SurgeData/872-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/872-waterlevel_w.csv rename to SurgeData/872-waterlevel_w.csv diff --git a/SurgeData/N=1000/873-peak+year_c.csv b/SurgeData/873-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/873-peak+year_c.csv rename to SurgeData/873-peak+year_c.csv diff --git a/SurgeData/N=1000/873-peak+year_w.csv b/SurgeData/873-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/873-peak+year_w.csv rename to SurgeData/873-peak+year_w.csv diff --git a/SurgeData/N=1000/873-peak_c.csv b/SurgeData/873-peak_c.csv similarity index 100% rename from SurgeData/N=1000/873-peak_c.csv rename to SurgeData/873-peak_c.csv diff --git a/SurgeData/N=1000/873-peak_w.csv b/SurgeData/873-peak_w.csv similarity index 100% rename from SurgeData/N=1000/873-peak_w.csv rename to SurgeData/873-peak_w.csv diff --git a/SurgeData/N=1000/873-surge_c.csv b/SurgeData/873-surge_c.csv similarity index 100% rename from SurgeData/N=1000/873-surge_c.csv rename to SurgeData/873-surge_c.csv diff --git a/SurgeData/N=1000/873-surge_w.csv b/SurgeData/873-surge_w.csv similarity index 100% rename from SurgeData/N=1000/873-surge_w.csv rename to SurgeData/873-surge_w.csv diff --git a/SurgeData/N=1000/873-time_c.csv b/SurgeData/873-time_c.csv similarity index 100% rename from SurgeData/N=1000/873-time_c.csv rename to SurgeData/873-time_c.csv diff --git a/SurgeData/N=1000/873-time_w.csv b/SurgeData/873-time_w.csv similarity index 100% rename from SurgeData/N=1000/873-time_w.csv rename to SurgeData/873-time_w.csv diff --git a/SurgeData/N=1000/873-waterlevel_c.csv b/SurgeData/873-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/873-waterlevel_c.csv rename to SurgeData/873-waterlevel_c.csv diff --git a/SurgeData/N=1000/873-waterlevel_w.csv b/SurgeData/873-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/873-waterlevel_w.csv rename to SurgeData/873-waterlevel_w.csv diff --git a/SurgeData/N=1000/874-peak+year_c.csv b/SurgeData/874-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/874-peak+year_c.csv rename to SurgeData/874-peak+year_c.csv diff --git a/SurgeData/N=1000/874-peak+year_w.csv b/SurgeData/874-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/874-peak+year_w.csv rename to SurgeData/874-peak+year_w.csv diff --git a/SurgeData/N=1000/874-peak_c.csv b/SurgeData/874-peak_c.csv similarity index 100% rename from SurgeData/N=1000/874-peak_c.csv rename to SurgeData/874-peak_c.csv diff --git a/SurgeData/N=1000/874-peak_w.csv b/SurgeData/874-peak_w.csv similarity index 100% rename from SurgeData/N=1000/874-peak_w.csv rename to SurgeData/874-peak_w.csv diff --git a/SurgeData/N=1000/874-surge_c.csv b/SurgeData/874-surge_c.csv similarity index 100% rename from SurgeData/N=1000/874-surge_c.csv rename to SurgeData/874-surge_c.csv diff --git a/SurgeData/N=1000/874-surge_w.csv b/SurgeData/874-surge_w.csv similarity index 100% rename from SurgeData/N=1000/874-surge_w.csv rename to SurgeData/874-surge_w.csv diff --git a/SurgeData/N=1000/874-time_c.csv b/SurgeData/874-time_c.csv similarity index 100% rename from SurgeData/N=1000/874-time_c.csv rename to SurgeData/874-time_c.csv diff --git a/SurgeData/N=1000/874-time_w.csv b/SurgeData/874-time_w.csv similarity index 100% rename from SurgeData/N=1000/874-time_w.csv rename to SurgeData/874-time_w.csv diff --git a/SurgeData/N=1000/874-waterlevel_c.csv b/SurgeData/874-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/874-waterlevel_c.csv rename to SurgeData/874-waterlevel_c.csv diff --git a/SurgeData/N=1000/874-waterlevel_w.csv b/SurgeData/874-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/874-waterlevel_w.csv rename to SurgeData/874-waterlevel_w.csv diff --git a/SurgeData/N=1000/875-peak+year_c.csv b/SurgeData/875-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/875-peak+year_c.csv rename to SurgeData/875-peak+year_c.csv diff --git a/SurgeData/N=1000/875-peak+year_w.csv b/SurgeData/875-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/875-peak+year_w.csv rename to SurgeData/875-peak+year_w.csv diff --git a/SurgeData/N=1000/875-peak_c.csv b/SurgeData/875-peak_c.csv similarity index 100% rename from SurgeData/N=1000/875-peak_c.csv rename to SurgeData/875-peak_c.csv diff --git a/SurgeData/N=1000/875-peak_w.csv b/SurgeData/875-peak_w.csv similarity index 100% rename from SurgeData/N=1000/875-peak_w.csv rename to SurgeData/875-peak_w.csv diff --git a/SurgeData/N=1000/875-surge_c.csv b/SurgeData/875-surge_c.csv similarity index 100% rename from SurgeData/N=1000/875-surge_c.csv rename to SurgeData/875-surge_c.csv diff --git a/SurgeData/N=1000/875-surge_w.csv b/SurgeData/875-surge_w.csv similarity index 100% rename from SurgeData/N=1000/875-surge_w.csv rename to SurgeData/875-surge_w.csv diff --git a/SurgeData/N=1000/875-time_c.csv b/SurgeData/875-time_c.csv similarity index 100% rename from SurgeData/N=1000/875-time_c.csv rename to SurgeData/875-time_c.csv diff --git a/SurgeData/N=1000/875-time_w.csv b/SurgeData/875-time_w.csv similarity index 100% rename from SurgeData/N=1000/875-time_w.csv rename to SurgeData/875-time_w.csv diff --git a/SurgeData/N=1000/875-waterlevel_c.csv b/SurgeData/875-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/875-waterlevel_c.csv rename to SurgeData/875-waterlevel_c.csv diff --git a/SurgeData/N=1000/875-waterlevel_w.csv b/SurgeData/875-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/875-waterlevel_w.csv rename to SurgeData/875-waterlevel_w.csv diff --git a/SurgeData/N=1000/876-peak+year_c.csv b/SurgeData/876-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/876-peak+year_c.csv rename to SurgeData/876-peak+year_c.csv diff --git a/SurgeData/N=1000/876-peak+year_w.csv b/SurgeData/876-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/876-peak+year_w.csv rename to SurgeData/876-peak+year_w.csv diff --git a/SurgeData/N=1000/876-peak_c.csv b/SurgeData/876-peak_c.csv similarity index 100% rename from SurgeData/N=1000/876-peak_c.csv rename to SurgeData/876-peak_c.csv diff --git a/SurgeData/N=1000/876-peak_w.csv b/SurgeData/876-peak_w.csv similarity index 100% rename from SurgeData/N=1000/876-peak_w.csv rename to SurgeData/876-peak_w.csv diff --git a/SurgeData/N=1000/876-surge_c.csv b/SurgeData/876-surge_c.csv similarity index 100% rename from SurgeData/N=1000/876-surge_c.csv rename to SurgeData/876-surge_c.csv diff --git a/SurgeData/N=1000/876-surge_w.csv b/SurgeData/876-surge_w.csv similarity index 100% rename from SurgeData/N=1000/876-surge_w.csv rename to SurgeData/876-surge_w.csv diff --git a/SurgeData/N=1000/876-time_c.csv b/SurgeData/876-time_c.csv similarity index 100% rename from SurgeData/N=1000/876-time_c.csv rename to SurgeData/876-time_c.csv diff --git a/SurgeData/N=1000/876-time_w.csv b/SurgeData/876-time_w.csv similarity index 100% rename from SurgeData/N=1000/876-time_w.csv rename to SurgeData/876-time_w.csv diff --git a/SurgeData/N=1000/876-waterlevel_c.csv b/SurgeData/876-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/876-waterlevel_c.csv rename to SurgeData/876-waterlevel_c.csv diff --git a/SurgeData/N=1000/876-waterlevel_w.csv b/SurgeData/876-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/876-waterlevel_w.csv rename to SurgeData/876-waterlevel_w.csv diff --git a/SurgeData/877-num_storm.csv b/SurgeData/877-num_storm.csv new file mode 100644 index 00000000..37ca2f37 --- /dev/null +++ b/SurgeData/877-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,7.0 +2022,2.0,6.0 +2023,1.0,3.0 +2024,2.0,5.0 +2025,2.0,4.0 +2026,1.0,0.0 +2027,1.0,3.0 +2028,0.0,1.0 +2029,4.0,3.0 +2030,3.0,3.0 +2031,1.0,2.0 +2032,1.0,4.0 +2033,1.0,5.0 +2034,1.0,4.0 +2035,1.0,2.0 +2036,2.0,7.0 +2037,0.0,5.0 +2038,4.0,4.0 +2039,2.0,5.0 +2040,0.0,6.0 +2041,1.0,1.0 +2042,0.0,6.0 +2043,1.0,4.0 +2044,2.0,6.0 +2045,3.0,2.0 +2046,2.0,5.0 +2047,2.0,4.0 +2048,1.0,5.0 +2049,1.0,5.0 +2050,2.0,2.0 +2051,1.0,5.0 +2052,2.0,4.0 +2053,2.0,5.0 +2054,0.0,5.0 +2055,3.0,4.0 +2056,1.0,8.0 +2057,1.0,2.0 +2058,0.0,3.0 +2059,0.0,5.0 +2060,0.0,3.0 +2061,2.0,7.0 +2062,0.0,5.0 +2063,1.0,5.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,2.0,4.0 +2067,2.0,3.0 +2068,7.0,4.0 +2069,4.0,4.0 +2070,2.0,5.0 +2071,1.0,8.0 +2072,5.0,2.0 +2073,2.0,6.0 +2074,2.0,1.0 +2075,1.0,1.0 +2076,0.0,3.0 +2077,2.0,4.0 +2078,1.0,6.0 +2079,1.0,5.0 +2080,2.0,3.0 +2081,3.0,1.0 +2082,0.0,1.0 +2083,1.0,4.0 +2084,3.0,3.0 +2085,2.0,0.0 +2086,2.0,3.0 +2087,3.0,1.0 +2088,1.0,2.0 +2089,3.0,4.0 +2090,1.0,1.0 +2091,5.0,5.0 +2092,3.0,3.0 +2093,0.0,4.0 +2094,2.0,3.0 +2095,1.0,2.0 +2096,2.0,4.0 +2097,0.0,4.0 +2098,1.0,4.0 +2099,0.0,2.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/877-peak+year_c.csv b/SurgeData/877-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/877-peak+year_c.csv rename to SurgeData/877-peak+year_c.csv diff --git a/SurgeData/N=1000/877-peak+year_w.csv b/SurgeData/877-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/877-peak+year_w.csv rename to SurgeData/877-peak+year_w.csv diff --git a/SurgeData/N=1000/877-peak_c.csv b/SurgeData/877-peak_c.csv similarity index 100% rename from SurgeData/N=1000/877-peak_c.csv rename to SurgeData/877-peak_c.csv diff --git a/SurgeData/N=1000/877-peak_w.csv b/SurgeData/877-peak_w.csv similarity index 100% rename from SurgeData/N=1000/877-peak_w.csv rename to SurgeData/877-peak_w.csv diff --git a/SurgeData/N=1000/877-surge_c.csv b/SurgeData/877-surge_c.csv similarity index 100% rename from SurgeData/N=1000/877-surge_c.csv rename to SurgeData/877-surge_c.csv diff --git a/SurgeData/N=1000/877-surge_w.csv b/SurgeData/877-surge_w.csv similarity index 100% rename from SurgeData/N=1000/877-surge_w.csv rename to SurgeData/877-surge_w.csv diff --git a/SurgeData/N=1000/877-time_c.csv b/SurgeData/877-time_c.csv similarity index 100% rename from SurgeData/N=1000/877-time_c.csv rename to SurgeData/877-time_c.csv diff --git a/SurgeData/N=1000/877-time_w.csv b/SurgeData/877-time_w.csv similarity index 100% rename from SurgeData/N=1000/877-time_w.csv rename to SurgeData/877-time_w.csv diff --git a/SurgeData/N=1000/877-waterlevel_c.csv b/SurgeData/877-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/877-waterlevel_c.csv rename to SurgeData/877-waterlevel_c.csv diff --git a/SurgeData/N=1000/877-waterlevel_w.csv b/SurgeData/877-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/877-waterlevel_w.csv rename to SurgeData/877-waterlevel_w.csv diff --git a/SurgeData/N=1000/878-peak+year_c.csv b/SurgeData/878-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/878-peak+year_c.csv rename to SurgeData/878-peak+year_c.csv diff --git a/SurgeData/N=1000/878-peak+year_w.csv b/SurgeData/878-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/878-peak+year_w.csv rename to SurgeData/878-peak+year_w.csv diff --git a/SurgeData/N=1000/878-peak_c.csv b/SurgeData/878-peak_c.csv similarity index 100% rename from SurgeData/N=1000/878-peak_c.csv rename to SurgeData/878-peak_c.csv diff --git a/SurgeData/N=1000/878-peak_w.csv b/SurgeData/878-peak_w.csv similarity index 100% rename from SurgeData/N=1000/878-peak_w.csv rename to SurgeData/878-peak_w.csv diff --git a/SurgeData/N=1000/878-surge_c.csv b/SurgeData/878-surge_c.csv similarity index 100% rename from SurgeData/N=1000/878-surge_c.csv rename to SurgeData/878-surge_c.csv diff --git a/SurgeData/N=1000/878-surge_w.csv b/SurgeData/878-surge_w.csv similarity index 100% rename from SurgeData/N=1000/878-surge_w.csv rename to SurgeData/878-surge_w.csv diff --git a/SurgeData/N=1000/878-time_c.csv b/SurgeData/878-time_c.csv similarity index 100% rename from SurgeData/N=1000/878-time_c.csv rename to SurgeData/878-time_c.csv diff --git a/SurgeData/N=1000/878-time_w.csv b/SurgeData/878-time_w.csv similarity index 100% rename from SurgeData/N=1000/878-time_w.csv rename to SurgeData/878-time_w.csv diff --git a/SurgeData/N=1000/878-waterlevel_c.csv b/SurgeData/878-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/878-waterlevel_c.csv rename to SurgeData/878-waterlevel_c.csv diff --git a/SurgeData/N=1000/878-waterlevel_w.csv b/SurgeData/878-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/878-waterlevel_w.csv rename to SurgeData/878-waterlevel_w.csv diff --git a/SurgeData/879-num_storm.csv b/SurgeData/879-num_storm.csv new file mode 100644 index 00000000..64c5f0af --- /dev/null +++ b/SurgeData/879-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,0.0,6.0 +2022,2.0,10.0 +2023,0.0,3.0 +2024,0.0,9.0 +2025,2.0,5.0 +2026,0.0,5.0 +2027,2.0,2.0 +2028,1.0,1.0 +2029,0.0,3.0 +2030,2.0,3.0 +2031,3.0,3.0 +2032,2.0,5.0 +2033,3.0,2.0 +2034,1.0,4.0 +2035,6.0,4.0 +2036,4.0,4.0 +2037,1.0,4.0 +2038,3.0,2.0 +2039,4.0,7.0 +2040,3.0,1.0 +2041,4.0,4.0 +2042,1.0,4.0 +2043,0.0,5.0 +2044,2.0,6.0 +2045,3.0,3.0 +2046,1.0,4.0 +2047,2.0,6.0 +2048,2.0,3.0 +2049,1.0,1.0 +2050,0.0,0.0 +2051,3.0,7.0 +2052,1.0,12.0 +2053,2.0,5.0 +2054,2.0,3.0 +2055,0.0,6.0 +2056,3.0,4.0 +2057,3.0,4.0 +2058,2.0,2.0 +2059,1.0,4.0 +2060,1.0,2.0 +2061,4.0,4.0 +2062,3.0,4.0 +2063,2.0,3.0 +2064,2.0,3.0 +2065,1.0,3.0 +2066,0.0,5.0 +2067,3.0,4.0 +2068,1.0,2.0 +2069,2.0,3.0 +2070,2.0,2.0 +2071,2.0,10.0 +2072,3.0,2.0 +2073,1.0,8.0 +2074,0.0,5.0 +2075,1.0,3.0 +2076,4.0,7.0 +2077,1.0,8.0 +2078,1.0,5.0 +2079,1.0,3.0 +2080,1.0,7.0 +2081,1.0,4.0 +2082,1.0,6.0 +2083,0.0,1.0 +2084,0.0,6.0 +2085,2.0,2.0 +2086,0.0,1.0 +2087,1.0,3.0 +2088,1.0,6.0 +2089,1.0,5.0 +2090,2.0,2.0 +2091,4.0,7.0 +2092,4.0,6.0 +2093,1.0,5.0 +2094,3.0,8.0 +2095,0.0,3.0 +2096,4.0,2.0 +2097,3.0,8.0 +2098,0.0,3.0 +2099,1.0,5.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/879-peak+year_c.csv b/SurgeData/879-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/879-peak+year_c.csv rename to SurgeData/879-peak+year_c.csv diff --git a/SurgeData/N=1000/879-peak+year_w.csv b/SurgeData/879-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/879-peak+year_w.csv rename to SurgeData/879-peak+year_w.csv diff --git a/SurgeData/N=1000/879-peak_c.csv b/SurgeData/879-peak_c.csv similarity index 100% rename from SurgeData/N=1000/879-peak_c.csv rename to SurgeData/879-peak_c.csv diff --git a/SurgeData/N=1000/879-peak_w.csv b/SurgeData/879-peak_w.csv similarity index 100% rename from SurgeData/N=1000/879-peak_w.csv rename to SurgeData/879-peak_w.csv diff --git a/SurgeData/N=1000/879-surge_c.csv b/SurgeData/879-surge_c.csv similarity index 100% rename from SurgeData/N=1000/879-surge_c.csv rename to SurgeData/879-surge_c.csv diff --git a/SurgeData/N=1000/879-surge_w.csv b/SurgeData/879-surge_w.csv similarity index 100% rename from SurgeData/N=1000/879-surge_w.csv rename to SurgeData/879-surge_w.csv diff --git a/SurgeData/N=1000/879-time_c.csv b/SurgeData/879-time_c.csv similarity index 100% rename from SurgeData/N=1000/879-time_c.csv rename to SurgeData/879-time_c.csv diff --git a/SurgeData/N=1000/879-time_w.csv b/SurgeData/879-time_w.csv similarity index 100% rename from SurgeData/N=1000/879-time_w.csv rename to SurgeData/879-time_w.csv diff --git a/SurgeData/N=1000/879-waterlevel_c.csv b/SurgeData/879-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/879-waterlevel_c.csv rename to SurgeData/879-waterlevel_c.csv diff --git a/SurgeData/N=1000/879-waterlevel_w.csv b/SurgeData/879-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/879-waterlevel_w.csv rename to SurgeData/879-waterlevel_w.csv diff --git a/SurgeData/88-num_storm.csv b/SurgeData/88-num_storm.csv new file mode 100644 index 00000000..c9399723 --- /dev/null +++ b/SurgeData/88-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,3.0 +2022,3.0,4.0 +2023,0.0,7.0 +2024,3.0,5.0 +2025,2.0,4.0 +2026,1.0,0.0 +2027,4.0,2.0 +2028,1.0,7.0 +2029,0.0,5.0 +2030,1.0,1.0 +2031,3.0,6.0 +2032,1.0,1.0 +2033,1.0,4.0 +2034,3.0,3.0 +2035,3.0,3.0 +2036,4.0,7.0 +2037,1.0,4.0 +2038,2.0,4.0 +2039,3.0,4.0 +2040,2.0,4.0 +2041,1.0,4.0 +2042,0.0,1.0 +2043,0.0,4.0 +2044,0.0,6.0 +2045,0.0,4.0 +2046,0.0,4.0 +2047,1.0,1.0 +2048,1.0,3.0 +2049,2.0,4.0 +2050,5.0,7.0 +2051,2.0,3.0 +2052,1.0,6.0 +2053,1.0,4.0 +2054,3.0,4.0 +2055,0.0,4.0 +2056,1.0,2.0 +2057,1.0,4.0 +2058,0.0,2.0 +2059,0.0,2.0 +2060,2.0,3.0 +2061,0.0,7.0 +2062,4.0,2.0 +2063,1.0,2.0 +2064,0.0,2.0 +2065,2.0,5.0 +2066,4.0,5.0 +2067,0.0,4.0 +2068,0.0,3.0 +2069,2.0,4.0 +2070,1.0,6.0 +2071,1.0,8.0 +2072,1.0,4.0 +2073,0.0,5.0 +2074,2.0,5.0 +2075,3.0,4.0 +2076,2.0,7.0 +2077,1.0,7.0 +2078,1.0,3.0 +2079,5.0,3.0 +2080,0.0,2.0 +2081,1.0,8.0 +2082,2.0,4.0 +2083,3.0,4.0 +2084,0.0,3.0 +2085,1.0,7.0 +2086,2.0,8.0 +2087,1.0,5.0 +2088,0.0,5.0 +2089,3.0,7.0 +2090,1.0,1.0 +2091,3.0,5.0 +2092,3.0,7.0 +2093,3.0,4.0 +2094,2.0,4.0 +2095,2.0,7.0 +2096,3.0,7.0 +2097,1.0,7.0 +2098,1.0,3.0 +2099,1.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/88-peak+year_c.csv b/SurgeData/88-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/88-peak+year_c.csv rename to SurgeData/88-peak+year_c.csv diff --git a/SurgeData/N=1000/88-peak+year_w.csv b/SurgeData/88-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/88-peak+year_w.csv rename to SurgeData/88-peak+year_w.csv diff --git a/SurgeData/N=1000/88-peak_c.csv b/SurgeData/88-peak_c.csv similarity index 100% rename from SurgeData/N=1000/88-peak_c.csv rename to SurgeData/88-peak_c.csv diff --git a/SurgeData/N=1000/88-peak_w.csv b/SurgeData/88-peak_w.csv similarity index 100% rename from SurgeData/N=1000/88-peak_w.csv rename to SurgeData/88-peak_w.csv diff --git a/SurgeData/N=1000/88-surge_c.csv b/SurgeData/88-surge_c.csv similarity index 100% rename from SurgeData/N=1000/88-surge_c.csv rename to SurgeData/88-surge_c.csv diff --git a/SurgeData/N=1000/88-surge_w.csv b/SurgeData/88-surge_w.csv similarity index 100% rename from SurgeData/N=1000/88-surge_w.csv rename to SurgeData/88-surge_w.csv diff --git a/SurgeData/N=1000/88-time_c.csv b/SurgeData/88-time_c.csv similarity index 100% rename from SurgeData/N=1000/88-time_c.csv rename to SurgeData/88-time_c.csv diff --git a/SurgeData/N=1000/88-time_w.csv b/SurgeData/88-time_w.csv similarity index 100% rename from SurgeData/N=1000/88-time_w.csv rename to SurgeData/88-time_w.csv diff --git a/SurgeData/N=1000/88-waterlevel_c.csv b/SurgeData/88-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/88-waterlevel_c.csv rename to SurgeData/88-waterlevel_c.csv diff --git a/SurgeData/N=1000/88-waterlevel_w.csv b/SurgeData/88-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/88-waterlevel_w.csv rename to SurgeData/88-waterlevel_w.csv diff --git a/SurgeData/880-num_storm.csv b/SurgeData/880-num_storm.csv new file mode 100644 index 00000000..fd1c9ff7 --- /dev/null +++ b/SurgeData/880-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,0.0,8.0 +2022,0.0,2.0 +2023,4.0,7.0 +2024,2.0,5.0 +2025,3.0,6.0 +2026,3.0,3.0 +2027,0.0,2.0 +2028,1.0,2.0 +2029,1.0,1.0 +2030,1.0,3.0 +2031,3.0,2.0 +2032,2.0,5.0 +2033,0.0,3.0 +2034,0.0,3.0 +2035,1.0,8.0 +2036,0.0,2.0 +2037,1.0,3.0 +2038,0.0,5.0 +2039,2.0,3.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,2.0,3.0 +2043,0.0,8.0 +2044,0.0,2.0 +2045,0.0,5.0 +2046,2.0,6.0 +2047,1.0,7.0 +2048,2.0,2.0 +2049,2.0,5.0 +2050,3.0,3.0 +2051,2.0,2.0 +2052,3.0,0.0 +2053,1.0,5.0 +2054,0.0,5.0 +2055,1.0,4.0 +2056,1.0,4.0 +2057,0.0,8.0 +2058,2.0,4.0 +2059,0.0,3.0 +2060,2.0,4.0 +2061,1.0,3.0 +2062,0.0,2.0 +2063,2.0,5.0 +2064,1.0,4.0 +2065,1.0,5.0 +2066,2.0,5.0 +2067,1.0,3.0 +2068,1.0,5.0 +2069,7.0,2.0 +2070,0.0,5.0 +2071,2.0,0.0 +2072,4.0,6.0 +2073,1.0,2.0 +2074,3.0,6.0 +2075,0.0,2.0 +2076,2.0,4.0 +2077,0.0,6.0 +2078,2.0,3.0 +2079,2.0,4.0 +2080,0.0,3.0 +2081,1.0,4.0 +2082,3.0,6.0 +2083,2.0,1.0 +2084,4.0,2.0 +2085,2.0,7.0 +2086,1.0,3.0 +2087,4.0,4.0 +2088,4.0,2.0 +2089,1.0,3.0 +2090,0.0,5.0 +2091,3.0,5.0 +2092,2.0,1.0 +2093,2.0,5.0 +2094,2.0,5.0 +2095,2.0,3.0 +2096,0.0,4.0 +2097,2.0,6.0 +2098,0.0,9.0 +2099,3.0,6.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/880-peak+year_c.csv b/SurgeData/880-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/880-peak+year_c.csv rename to SurgeData/880-peak+year_c.csv diff --git a/SurgeData/N=1000/880-peak+year_w.csv b/SurgeData/880-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/880-peak+year_w.csv rename to SurgeData/880-peak+year_w.csv diff --git a/SurgeData/N=1000/880-peak_c.csv b/SurgeData/880-peak_c.csv similarity index 100% rename from SurgeData/N=1000/880-peak_c.csv rename to SurgeData/880-peak_c.csv diff --git a/SurgeData/N=1000/880-peak_w.csv b/SurgeData/880-peak_w.csv similarity index 100% rename from SurgeData/N=1000/880-peak_w.csv rename to SurgeData/880-peak_w.csv diff --git a/SurgeData/N=1000/880-surge_c.csv b/SurgeData/880-surge_c.csv similarity index 100% rename from SurgeData/N=1000/880-surge_c.csv rename to SurgeData/880-surge_c.csv diff --git a/SurgeData/N=1000/880-surge_w.csv b/SurgeData/880-surge_w.csv similarity index 100% rename from SurgeData/N=1000/880-surge_w.csv rename to SurgeData/880-surge_w.csv diff --git a/SurgeData/N=1000/880-time_c.csv b/SurgeData/880-time_c.csv similarity index 100% rename from SurgeData/N=1000/880-time_c.csv rename to SurgeData/880-time_c.csv diff --git a/SurgeData/N=1000/880-time_w.csv b/SurgeData/880-time_w.csv similarity index 100% rename from SurgeData/N=1000/880-time_w.csv rename to SurgeData/880-time_w.csv diff --git a/SurgeData/N=1000/880-waterlevel_c.csv b/SurgeData/880-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/880-waterlevel_c.csv rename to SurgeData/880-waterlevel_c.csv diff --git a/SurgeData/N=1000/880-waterlevel_w.csv b/SurgeData/880-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/880-waterlevel_w.csv rename to SurgeData/880-waterlevel_w.csv diff --git a/SurgeData/N=1000/881-peak+year_c.csv b/SurgeData/881-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/881-peak+year_c.csv rename to SurgeData/881-peak+year_c.csv diff --git a/SurgeData/N=1000/881-peak+year_w.csv b/SurgeData/881-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/881-peak+year_w.csv rename to SurgeData/881-peak+year_w.csv diff --git a/SurgeData/N=1000/881-peak_c.csv b/SurgeData/881-peak_c.csv similarity index 100% rename from SurgeData/N=1000/881-peak_c.csv rename to SurgeData/881-peak_c.csv diff --git a/SurgeData/N=1000/881-peak_w.csv b/SurgeData/881-peak_w.csv similarity index 100% rename from SurgeData/N=1000/881-peak_w.csv rename to SurgeData/881-peak_w.csv diff --git a/SurgeData/N=1000/881-surge_c.csv b/SurgeData/881-surge_c.csv similarity index 100% rename from SurgeData/N=1000/881-surge_c.csv rename to SurgeData/881-surge_c.csv diff --git a/SurgeData/N=1000/881-surge_w.csv b/SurgeData/881-surge_w.csv similarity index 100% rename from SurgeData/N=1000/881-surge_w.csv rename to SurgeData/881-surge_w.csv diff --git a/SurgeData/N=1000/881-time_c.csv b/SurgeData/881-time_c.csv similarity index 100% rename from SurgeData/N=1000/881-time_c.csv rename to SurgeData/881-time_c.csv diff --git a/SurgeData/N=1000/881-time_w.csv b/SurgeData/881-time_w.csv similarity index 100% rename from SurgeData/N=1000/881-time_w.csv rename to SurgeData/881-time_w.csv diff --git a/SurgeData/N=1000/881-waterlevel_c.csv b/SurgeData/881-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/881-waterlevel_c.csv rename to SurgeData/881-waterlevel_c.csv diff --git a/SurgeData/N=1000/881-waterlevel_w.csv b/SurgeData/881-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/881-waterlevel_w.csv rename to SurgeData/881-waterlevel_w.csv diff --git a/SurgeData/882-num_storm.csv b/SurgeData/882-num_storm.csv new file mode 100644 index 00000000..24ca9696 --- /dev/null +++ b/SurgeData/882-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,7.0 +2021,0.0,3.0 +2022,3.0,5.0 +2023,0.0,0.0 +2024,1.0,4.0 +2025,3.0,6.0 +2026,1.0,7.0 +2027,3.0,8.0 +2028,1.0,6.0 +2029,2.0,3.0 +2030,3.0,5.0 +2031,2.0,7.0 +2032,1.0,1.0 +2033,1.0,1.0 +2034,1.0,4.0 +2035,1.0,4.0 +2036,1.0,4.0 +2037,3.0,3.0 +2038,1.0,3.0 +2039,3.0,6.0 +2040,2.0,1.0 +2041,0.0,4.0 +2042,2.0,1.0 +2043,1.0,4.0 +2044,1.0,1.0 +2045,0.0,13.0 +2046,4.0,5.0 +2047,2.0,4.0 +2048,1.0,1.0 +2049,1.0,5.0 +2050,2.0,0.0 +2051,1.0,5.0 +2052,0.0,3.0 +2053,3.0,8.0 +2054,1.0,3.0 +2055,2.0,5.0 +2056,1.0,2.0 +2057,1.0,4.0 +2058,0.0,7.0 +2059,1.0,3.0 +2060,3.0,3.0 +2061,3.0,2.0 +2062,0.0,6.0 +2063,5.0,2.0 +2064,0.0,3.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,5.0,1.0 +2068,3.0,1.0 +2069,1.0,3.0 +2070,1.0,5.0 +2071,1.0,3.0 +2072,0.0,1.0 +2073,1.0,6.0 +2074,2.0,2.0 +2075,0.0,2.0 +2076,1.0,5.0 +2077,2.0,1.0 +2078,1.0,4.0 +2079,1.0,4.0 +2080,1.0,3.0 +2081,0.0,4.0 +2082,2.0,5.0 +2083,3.0,5.0 +2084,2.0,6.0 +2085,0.0,2.0 +2086,2.0,5.0 +2087,2.0,2.0 +2088,1.0,4.0 +2089,0.0,6.0 +2090,0.0,3.0 +2091,2.0,7.0 +2092,2.0,2.0 +2093,3.0,3.0 +2094,4.0,5.0 +2095,0.0,7.0 +2096,2.0,2.0 +2097,1.0,4.0 +2098,1.0,8.0 +2099,3.0,5.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/882-peak+year_c.csv b/SurgeData/882-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/882-peak+year_c.csv rename to SurgeData/882-peak+year_c.csv diff --git a/SurgeData/N=1000/882-peak+year_w.csv b/SurgeData/882-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/882-peak+year_w.csv rename to SurgeData/882-peak+year_w.csv diff --git a/SurgeData/N=1000/882-peak_c.csv b/SurgeData/882-peak_c.csv similarity index 100% rename from SurgeData/N=1000/882-peak_c.csv rename to SurgeData/882-peak_c.csv diff --git a/SurgeData/N=1000/882-peak_w.csv b/SurgeData/882-peak_w.csv similarity index 100% rename from SurgeData/N=1000/882-peak_w.csv rename to SurgeData/882-peak_w.csv diff --git a/SurgeData/N=1000/882-surge_c.csv b/SurgeData/882-surge_c.csv similarity index 100% rename from SurgeData/N=1000/882-surge_c.csv rename to SurgeData/882-surge_c.csv diff --git a/SurgeData/N=1000/882-surge_w.csv b/SurgeData/882-surge_w.csv similarity index 100% rename from SurgeData/N=1000/882-surge_w.csv rename to SurgeData/882-surge_w.csv diff --git a/SurgeData/N=1000/882-time_c.csv b/SurgeData/882-time_c.csv similarity index 100% rename from SurgeData/N=1000/882-time_c.csv rename to SurgeData/882-time_c.csv diff --git a/SurgeData/N=1000/882-time_w.csv b/SurgeData/882-time_w.csv similarity index 100% rename from SurgeData/N=1000/882-time_w.csv rename to SurgeData/882-time_w.csv diff --git a/SurgeData/N=1000/882-waterlevel_c.csv b/SurgeData/882-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/882-waterlevel_c.csv rename to SurgeData/882-waterlevel_c.csv diff --git a/SurgeData/N=1000/882-waterlevel_w.csv b/SurgeData/882-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/882-waterlevel_w.csv rename to SurgeData/882-waterlevel_w.csv diff --git a/SurgeData/883-num_storm.csv b/SurgeData/883-num_storm.csv new file mode 100644 index 00000000..f0e47049 --- /dev/null +++ b/SurgeData/883-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,4.0 +2022,2.0,3.0 +2023,1.0,5.0 +2024,0.0,8.0 +2025,2.0,3.0 +2026,0.0,2.0 +2027,2.0,6.0 +2028,1.0,2.0 +2029,3.0,4.0 +2030,3.0,9.0 +2031,1.0,4.0 +2032,3.0,5.0 +2033,2.0,2.0 +2034,1.0,3.0 +2035,3.0,3.0 +2036,1.0,0.0 +2037,1.0,5.0 +2038,3.0,2.0 +2039,1.0,2.0 +2040,0.0,5.0 +2041,2.0,4.0 +2042,1.0,2.0 +2043,2.0,4.0 +2044,2.0,5.0 +2045,0.0,2.0 +2046,1.0,4.0 +2047,3.0,6.0 +2048,4.0,5.0 +2049,1.0,3.0 +2050,0.0,6.0 +2051,1.0,6.0 +2052,3.0,4.0 +2053,1.0,3.0 +2054,1.0,2.0 +2055,0.0,4.0 +2056,2.0,7.0 +2057,0.0,7.0 +2058,2.0,5.0 +2059,0.0,5.0 +2060,2.0,4.0 +2061,2.0,5.0 +2062,2.0,4.0 +2063,2.0,1.0 +2064,4.0,4.0 +2065,4.0,4.0 +2066,1.0,4.0 +2067,2.0,11.0 +2068,0.0,5.0 +2069,1.0,3.0 +2070,0.0,5.0 +2071,1.0,2.0 +2072,2.0,8.0 +2073,5.0,3.0 +2074,0.0,5.0 +2075,4.0,5.0 +2076,2.0,4.0 +2077,0.0,1.0 +2078,3.0,4.0 +2079,3.0,2.0 +2080,1.0,4.0 +2081,1.0,5.0 +2082,0.0,1.0 +2083,1.0,5.0 +2084,1.0,7.0 +2085,2.0,8.0 +2086,0.0,2.0 +2087,2.0,3.0 +2088,1.0,6.0 +2089,1.0,1.0 +2090,3.0,7.0 +2091,0.0,2.0 +2092,3.0,3.0 +2093,0.0,3.0 +2094,3.0,5.0 +2095,1.0,3.0 +2096,0.0,6.0 +2097,1.0,6.0 +2098,1.0,5.0 +2099,2.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/883-peak+year_c.csv b/SurgeData/883-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/883-peak+year_c.csv rename to SurgeData/883-peak+year_c.csv diff --git a/SurgeData/N=1000/883-peak+year_w.csv b/SurgeData/883-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/883-peak+year_w.csv rename to SurgeData/883-peak+year_w.csv diff --git a/SurgeData/N=1000/883-peak_c.csv b/SurgeData/883-peak_c.csv similarity index 100% rename from SurgeData/N=1000/883-peak_c.csv rename to SurgeData/883-peak_c.csv diff --git a/SurgeData/N=1000/883-peak_w.csv b/SurgeData/883-peak_w.csv similarity index 100% rename from SurgeData/N=1000/883-peak_w.csv rename to SurgeData/883-peak_w.csv diff --git a/SurgeData/N=1000/883-surge_c.csv b/SurgeData/883-surge_c.csv similarity index 100% rename from SurgeData/N=1000/883-surge_c.csv rename to SurgeData/883-surge_c.csv diff --git a/SurgeData/N=1000/883-surge_w.csv b/SurgeData/883-surge_w.csv similarity index 100% rename from SurgeData/N=1000/883-surge_w.csv rename to SurgeData/883-surge_w.csv diff --git a/SurgeData/N=1000/883-time_c.csv b/SurgeData/883-time_c.csv similarity index 100% rename from SurgeData/N=1000/883-time_c.csv rename to SurgeData/883-time_c.csv diff --git a/SurgeData/N=1000/883-time_w.csv b/SurgeData/883-time_w.csv similarity index 100% rename from SurgeData/N=1000/883-time_w.csv rename to SurgeData/883-time_w.csv diff --git a/SurgeData/N=1000/883-waterlevel_c.csv b/SurgeData/883-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/883-waterlevel_c.csv rename to SurgeData/883-waterlevel_c.csv diff --git a/SurgeData/N=1000/883-waterlevel_w.csv b/SurgeData/883-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/883-waterlevel_w.csv rename to SurgeData/883-waterlevel_w.csv diff --git a/SurgeData/884-num_storm.csv b/SurgeData/884-num_storm.csv new file mode 100644 index 00000000..6242fd27 --- /dev/null +++ b/SurgeData/884-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,4.0,2.0 +2022,0.0,3.0 +2023,1.0,3.0 +2024,0.0,2.0 +2025,3.0,4.0 +2026,2.0,2.0 +2027,3.0,2.0 +2028,2.0,4.0 +2029,1.0,7.0 +2030,0.0,7.0 +2031,3.0,4.0 +2032,0.0,4.0 +2033,4.0,4.0 +2034,3.0,2.0 +2035,3.0,2.0 +2036,1.0,7.0 +2037,3.0,4.0 +2038,2.0,5.0 +2039,1.0,2.0 +2040,0.0,5.0 +2041,1.0,5.0 +2042,0.0,5.0 +2043,1.0,2.0 +2044,3.0,7.0 +2045,0.0,4.0 +2046,1.0,7.0 +2047,2.0,2.0 +2048,1.0,6.0 +2049,2.0,5.0 +2050,2.0,8.0 +2051,1.0,1.0 +2052,2.0,3.0 +2053,1.0,4.0 +2054,2.0,5.0 +2055,2.0,2.0 +2056,1.0,5.0 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SurgeData/884-peak+year_w.csv diff --git a/SurgeData/N=1000/884-peak_c.csv b/SurgeData/884-peak_c.csv similarity index 100% rename from SurgeData/N=1000/884-peak_c.csv rename to SurgeData/884-peak_c.csv diff --git a/SurgeData/N=1000/884-peak_w.csv b/SurgeData/884-peak_w.csv similarity index 100% rename from SurgeData/N=1000/884-peak_w.csv rename to SurgeData/884-peak_w.csv diff --git a/SurgeData/N=1000/884-surge_c.csv b/SurgeData/884-surge_c.csv similarity index 100% rename from SurgeData/N=1000/884-surge_c.csv rename to SurgeData/884-surge_c.csv diff --git a/SurgeData/N=1000/884-surge_w.csv b/SurgeData/884-surge_w.csv similarity index 100% rename from SurgeData/N=1000/884-surge_w.csv rename to SurgeData/884-surge_w.csv diff --git a/SurgeData/N=1000/884-time_c.csv b/SurgeData/884-time_c.csv similarity index 100% rename from SurgeData/N=1000/884-time_c.csv rename to SurgeData/884-time_c.csv diff --git a/SurgeData/N=1000/884-time_w.csv b/SurgeData/884-time_w.csv similarity index 100% rename from SurgeData/N=1000/884-time_w.csv rename to SurgeData/884-time_w.csv diff --git a/SurgeData/N=1000/884-waterlevel_c.csv b/SurgeData/884-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/884-waterlevel_c.csv rename to SurgeData/884-waterlevel_c.csv diff --git a/SurgeData/N=1000/884-waterlevel_w.csv b/SurgeData/884-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/884-waterlevel_w.csv rename to SurgeData/884-waterlevel_w.csv diff --git a/SurgeData/885-num_storm.csv b/SurgeData/885-num_storm.csv new file mode 100644 index 00000000..c6f547ed --- /dev/null +++ b/SurgeData/885-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,2.0,4.0 +2022,3.0,4.0 +2023,1.0,6.0 +2024,4.0,4.0 +2025,2.0,4.0 +2026,4.0,5.0 +2027,4.0,3.0 +2028,2.0,3.0 +2029,1.0,4.0 +2030,3.0,4.0 +2031,0.0,2.0 +2032,2.0,6.0 +2033,3.0,2.0 +2034,2.0,4.0 +2035,2.0,5.0 +2036,2.0,5.0 +2037,1.0,7.0 +2038,1.0,3.0 +2039,1.0,3.0 +2040,3.0,5.0 +2041,4.0,5.0 +2042,1.0,2.0 +2043,1.0,1.0 +2044,0.0,4.0 +2045,1.0,1.0 +2046,3.0,4.0 +2047,1.0,7.0 +2048,2.0,4.0 +2049,1.0,4.0 +2050,2.0,4.0 +2051,2.0,1.0 +2052,1.0,5.0 +2053,1.0,8.0 +2054,1.0,2.0 +2055,0.0,3.0 +2056,0.0,5.0 +2057,0.0,5.0 +2058,1.0,4.0 +2059,0.0,2.0 +2060,0.0,5.0 +2061,0.0,2.0 +2062,5.0,5.0 +2063,0.0,3.0 +2064,1.0,3.0 +2065,0.0,3.0 +2066,1.0,7.0 +2067,2.0,5.0 +2068,1.0,2.0 +2069,3.0,4.0 +2070,0.0,5.0 +2071,1.0,2.0 +2072,2.0,5.0 +2073,2.0,3.0 +2074,2.0,3.0 +2075,1.0,7.0 +2076,2.0,5.0 +2077,1.0,2.0 +2078,0.0,1.0 +2079,2.0,6.0 +2080,0.0,4.0 +2081,3.0,5.0 +2082,1.0,7.0 +2083,1.0,3.0 +2084,2.0,7.0 +2085,1.0,6.0 +2086,1.0,8.0 +2087,1.0,0.0 +2088,1.0,4.0 +2089,2.0,3.0 +2090,2.0,9.0 +2091,2.0,4.0 +2092,2.0,4.0 +2093,0.0,4.0 +2094,0.0,1.0 +2095,1.0,4.0 +2096,3.0,7.0 +2097,1.0,3.0 +2098,2.0,9.0 +2099,3.0,4.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/885-peak+year_c.csv b/SurgeData/885-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/885-peak+year_c.csv rename to SurgeData/885-peak+year_c.csv diff --git a/SurgeData/N=1000/885-peak+year_w.csv b/SurgeData/885-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/885-peak+year_w.csv rename to SurgeData/885-peak+year_w.csv diff --git a/SurgeData/N=1000/885-peak_c.csv b/SurgeData/885-peak_c.csv similarity index 100% rename from SurgeData/N=1000/885-peak_c.csv rename to SurgeData/885-peak_c.csv diff --git a/SurgeData/N=1000/885-peak_w.csv b/SurgeData/885-peak_w.csv similarity index 100% rename from SurgeData/N=1000/885-peak_w.csv rename to SurgeData/885-peak_w.csv diff --git a/SurgeData/N=1000/885-surge_c.csv b/SurgeData/885-surge_c.csv similarity index 100% rename from SurgeData/N=1000/885-surge_c.csv rename to SurgeData/885-surge_c.csv diff --git a/SurgeData/N=1000/885-surge_w.csv b/SurgeData/885-surge_w.csv similarity index 100% rename from SurgeData/N=1000/885-surge_w.csv rename to SurgeData/885-surge_w.csv diff --git a/SurgeData/N=1000/885-time_c.csv b/SurgeData/885-time_c.csv similarity index 100% rename from SurgeData/N=1000/885-time_c.csv rename to SurgeData/885-time_c.csv diff --git a/SurgeData/N=1000/885-time_w.csv b/SurgeData/885-time_w.csv similarity index 100% rename from SurgeData/N=1000/885-time_w.csv rename to SurgeData/885-time_w.csv diff --git a/SurgeData/N=1000/885-waterlevel_c.csv b/SurgeData/885-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/885-waterlevel_c.csv rename to SurgeData/885-waterlevel_c.csv diff --git a/SurgeData/N=1000/885-waterlevel_w.csv b/SurgeData/885-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/885-waterlevel_w.csv rename to SurgeData/885-waterlevel_w.csv diff --git a/SurgeData/886-num_storm.csv b/SurgeData/886-num_storm.csv new file mode 100644 index 00000000..990ee1b7 --- /dev/null +++ b/SurgeData/886-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,4.0 +2022,0.0,3.0 +2023,0.0,7.0 +2024,2.0,6.0 +2025,1.0,2.0 +2026,3.0,3.0 +2027,0.0,5.0 +2028,0.0,2.0 +2029,2.0,4.0 +2030,0.0,3.0 +2031,3.0,3.0 +2032,2.0,3.0 +2033,1.0,9.0 +2034,3.0,6.0 +2035,3.0,4.0 +2036,1.0,3.0 +2037,2.0,5.0 +2038,3.0,1.0 +2039,5.0,7.0 +2040,2.0,4.0 +2041,5.0,5.0 +2042,0.0,6.0 +2043,2.0,5.0 +2044,2.0,6.0 +2045,6.0,1.0 +2046,1.0,9.0 +2047,4.0,5.0 +2048,0.0,4.0 +2049,2.0,2.0 +2050,1.0,4.0 +2051,2.0,1.0 +2052,0.0,2.0 +2053,1.0,8.0 +2054,0.0,1.0 +2055,0.0,4.0 +2056,2.0,4.0 +2057,1.0,3.0 +2058,1.0,5.0 +2059,1.0,2.0 +2060,2.0,5.0 +2061,0.0,4.0 +2062,3.0,10.0 +2063,1.0,4.0 +2064,2.0,3.0 +2065,1.0,2.0 +2066,4.0,7.0 +2067,1.0,7.0 +2068,0.0,4.0 +2069,1.0,4.0 +2070,2.0,9.0 +2071,2.0,6.0 +2072,4.0,7.0 +2073,3.0,5.0 +2074,0.0,1.0 +2075,2.0,1.0 +2076,3.0,5.0 +2077,0.0,5.0 +2078,1.0,5.0 +2079,1.0,3.0 +2080,1.0,10.0 +2081,2.0,7.0 +2082,1.0,5.0 +2083,1.0,2.0 +2084,1.0,1.0 +2085,1.0,3.0 +2086,3.0,2.0 +2087,1.0,5.0 +2088,0.0,5.0 +2089,4.0,2.0 +2090,1.0,4.0 +2091,1.0,2.0 +2092,2.0,7.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,5.0,3.0 +2096,0.0,4.0 +2097,2.0,4.0 +2098,2.0,3.0 +2099,1.0,3.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/886-peak+year_c.csv b/SurgeData/886-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/886-peak+year_c.csv rename to SurgeData/886-peak+year_c.csv diff --git a/SurgeData/N=1000/886-peak+year_w.csv b/SurgeData/886-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/886-peak+year_w.csv rename to SurgeData/886-peak+year_w.csv diff --git a/SurgeData/N=1000/886-peak_c.csv b/SurgeData/886-peak_c.csv similarity index 100% rename from SurgeData/N=1000/886-peak_c.csv rename to SurgeData/886-peak_c.csv diff --git a/SurgeData/N=1000/886-peak_w.csv b/SurgeData/886-peak_w.csv similarity index 100% rename from SurgeData/N=1000/886-peak_w.csv rename to SurgeData/886-peak_w.csv diff --git a/SurgeData/N=1000/886-surge_c.csv b/SurgeData/886-surge_c.csv similarity index 100% rename from SurgeData/N=1000/886-surge_c.csv rename to SurgeData/886-surge_c.csv diff --git a/SurgeData/N=1000/886-surge_w.csv b/SurgeData/886-surge_w.csv similarity index 100% rename from SurgeData/N=1000/886-surge_w.csv rename to SurgeData/886-surge_w.csv diff --git a/SurgeData/N=1000/886-time_c.csv b/SurgeData/886-time_c.csv similarity index 100% rename from SurgeData/N=1000/886-time_c.csv rename to SurgeData/886-time_c.csv diff --git a/SurgeData/N=1000/886-time_w.csv b/SurgeData/886-time_w.csv similarity index 100% rename from SurgeData/N=1000/886-time_w.csv rename to SurgeData/886-time_w.csv diff --git a/SurgeData/N=1000/886-waterlevel_c.csv b/SurgeData/886-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/886-waterlevel_c.csv rename to SurgeData/886-waterlevel_c.csv diff --git a/SurgeData/N=1000/886-waterlevel_w.csv b/SurgeData/886-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/886-waterlevel_w.csv rename to SurgeData/886-waterlevel_w.csv diff --git a/SurgeData/887-num_storm.csv b/SurgeData/887-num_storm.csv new file mode 100644 index 00000000..09669f0e --- /dev/null +++ b/SurgeData/887-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,1.0,3.0 +2022,2.0,1.0 +2023,2.0,2.0 +2024,0.0,4.0 +2025,1.0,6.0 +2026,0.0,10.0 +2027,1.0,7.0 +2028,3.0,6.0 +2029,0.0,5.0 +2030,2.0,0.0 +2031,2.0,4.0 +2032,0.0,2.0 +2033,0.0,1.0 +2034,2.0,4.0 +2035,3.0,3.0 +2036,2.0,5.0 +2037,2.0,5.0 +2038,0.0,2.0 +2039,1.0,2.0 +2040,3.0,6.0 +2041,0.0,6.0 +2042,3.0,6.0 +2043,1.0,4.0 +2044,4.0,4.0 +2045,1.0,4.0 +2046,4.0,6.0 +2047,0.0,7.0 +2048,1.0,4.0 +2049,3.0,3.0 +2050,2.0,3.0 +2051,1.0,0.0 +2052,3.0,4.0 +2053,0.0,4.0 +2054,3.0,4.0 +2055,1.0,3.0 +2056,0.0,3.0 +2057,0.0,3.0 +2058,1.0,4.0 +2059,2.0,3.0 +2060,1.0,6.0 +2061,1.0,4.0 +2062,1.0,3.0 +2063,1.0,7.0 +2064,1.0,2.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,0.0,5.0 +2068,5.0,2.0 +2069,0.0,3.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,1.0,9.0 +2073,0.0,2.0 +2074,2.0,4.0 +2075,2.0,4.0 +2076,5.0,5.0 +2077,1.0,4.0 +2078,1.0,5.0 +2079,4.0,1.0 +2080,1.0,3.0 +2081,2.0,5.0 +2082,2.0,0.0 +2083,1.0,2.0 +2084,0.0,4.0 +2085,3.0,4.0 +2086,1.0,7.0 +2087,4.0,6.0 +2088,2.0,3.0 +2089,2.0,5.0 +2090,1.0,2.0 +2091,2.0,4.0 +2092,3.0,2.0 +2093,1.0,7.0 +2094,1.0,3.0 +2095,2.0,5.0 +2096,2.0,3.0 +2097,1.0,6.0 +2098,3.0,5.0 +2099,3.0,5.0 +2100,0.0,1.0 diff --git a/SurgeData/N=1000/887-peak+year_c.csv b/SurgeData/887-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/887-peak+year_c.csv rename to SurgeData/887-peak+year_c.csv diff --git a/SurgeData/N=1000/887-peak+year_w.csv b/SurgeData/887-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/887-peak+year_w.csv rename to SurgeData/887-peak+year_w.csv diff --git a/SurgeData/N=1000/887-peak_c.csv b/SurgeData/887-peak_c.csv similarity index 100% rename from SurgeData/N=1000/887-peak_c.csv rename to SurgeData/887-peak_c.csv diff --git a/SurgeData/N=1000/887-peak_w.csv b/SurgeData/887-peak_w.csv similarity index 100% rename from SurgeData/N=1000/887-peak_w.csv rename to SurgeData/887-peak_w.csv diff --git a/SurgeData/N=1000/887-surge_c.csv b/SurgeData/887-surge_c.csv similarity index 100% rename from SurgeData/N=1000/887-surge_c.csv rename to SurgeData/887-surge_c.csv diff --git a/SurgeData/N=1000/887-surge_w.csv b/SurgeData/887-surge_w.csv similarity index 100% rename from SurgeData/N=1000/887-surge_w.csv rename to SurgeData/887-surge_w.csv diff --git a/SurgeData/N=1000/887-time_c.csv b/SurgeData/887-time_c.csv similarity index 100% rename from SurgeData/N=1000/887-time_c.csv rename to SurgeData/887-time_c.csv diff --git a/SurgeData/N=1000/887-time_w.csv b/SurgeData/887-time_w.csv similarity index 100% rename from SurgeData/N=1000/887-time_w.csv rename to SurgeData/887-time_w.csv diff --git a/SurgeData/N=1000/887-waterlevel_c.csv b/SurgeData/887-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/887-waterlevel_c.csv rename to SurgeData/887-waterlevel_c.csv diff --git a/SurgeData/N=1000/887-waterlevel_w.csv b/SurgeData/887-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/887-waterlevel_w.csv rename to SurgeData/887-waterlevel_w.csv diff --git a/SurgeData/N=1000/888-peak+year_c.csv b/SurgeData/888-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/888-peak+year_c.csv rename to SurgeData/888-peak+year_c.csv diff --git a/SurgeData/N=1000/888-peak+year_w.csv b/SurgeData/888-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/888-peak+year_w.csv rename to SurgeData/888-peak+year_w.csv diff --git a/SurgeData/N=1000/888-peak_c.csv b/SurgeData/888-peak_c.csv similarity index 100% rename from SurgeData/N=1000/888-peak_c.csv rename to SurgeData/888-peak_c.csv diff --git a/SurgeData/N=1000/888-peak_w.csv b/SurgeData/888-peak_w.csv similarity index 100% rename from SurgeData/N=1000/888-peak_w.csv rename to SurgeData/888-peak_w.csv diff --git a/SurgeData/N=1000/888-surge_c.csv b/SurgeData/888-surge_c.csv similarity index 100% rename from SurgeData/N=1000/888-surge_c.csv rename to SurgeData/888-surge_c.csv diff --git a/SurgeData/N=1000/888-surge_w.csv b/SurgeData/888-surge_w.csv similarity index 100% rename from SurgeData/N=1000/888-surge_w.csv rename to SurgeData/888-surge_w.csv diff --git a/SurgeData/N=1000/888-time_c.csv b/SurgeData/888-time_c.csv similarity index 100% rename from SurgeData/N=1000/888-time_c.csv rename to SurgeData/888-time_c.csv diff --git a/SurgeData/N=1000/888-time_w.csv b/SurgeData/888-time_w.csv similarity index 100% rename from SurgeData/N=1000/888-time_w.csv rename to SurgeData/888-time_w.csv diff --git a/SurgeData/N=1000/888-waterlevel_c.csv b/SurgeData/888-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/888-waterlevel_c.csv rename to SurgeData/888-waterlevel_c.csv diff --git a/SurgeData/N=1000/888-waterlevel_w.csv b/SurgeData/888-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/888-waterlevel_w.csv rename to SurgeData/888-waterlevel_w.csv diff --git a/SurgeData/889-num_storm.csv b/SurgeData/889-num_storm.csv new file mode 100644 index 00000000..2538e3cf --- /dev/null +++ b/SurgeData/889-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,1.0,8.0 +2022,0.0,4.0 +2023,2.0,5.0 +2024,1.0,2.0 +2025,3.0,6.0 +2026,2.0,3.0 +2027,0.0,3.0 +2028,1.0,7.0 +2029,0.0,7.0 +2030,1.0,4.0 +2031,1.0,10.0 +2032,1.0,1.0 +2033,2.0,2.0 +2034,2.0,7.0 +2035,1.0,4.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,2.0,1.0 +2039,1.0,2.0 +2040,2.0,5.0 +2041,0.0,5.0 +2042,2.0,5.0 +2043,5.0,7.0 +2044,2.0,3.0 +2045,0.0,2.0 +2046,2.0,2.0 +2047,0.0,5.0 +2048,1.0,7.0 +2049,1.0,4.0 +2050,2.0,1.0 +2051,2.0,1.0 +2052,1.0,3.0 +2053,2.0,2.0 +2054,1.0,3.0 +2055,3.0,5.0 +2056,4.0,4.0 +2057,0.0,4.0 +2058,2.0,3.0 +2059,5.0,4.0 +2060,1.0,2.0 +2061,0.0,2.0 +2062,1.0,3.0 +2063,3.0,3.0 +2064,2.0,5.0 +2065,3.0,3.0 +2066,1.0,6.0 +2067,2.0,5.0 +2068,5.0,6.0 +2069,1.0,1.0 +2070,2.0,4.0 +2071,1.0,7.0 +2072,1.0,2.0 +2073,1.0,6.0 +2074,0.0,2.0 +2075,2.0,3.0 +2076,4.0,3.0 +2077,2.0,6.0 +2078,1.0,5.0 +2079,2.0,7.0 +2080,2.0,7.0 +2081,2.0,2.0 +2082,1.0,2.0 +2083,0.0,4.0 +2084,1.0,5.0 +2085,1.0,4.0 +2086,2.0,5.0 +2087,4.0,2.0 +2088,2.0,2.0 +2089,3.0,4.0 +2090,1.0,3.0 +2091,2.0,6.0 +2092,0.0,5.0 +2093,2.0,1.0 +2094,1.0,5.0 +2095,1.0,4.0 +2096,2.0,7.0 +2097,2.0,2.0 +2098,1.0,3.0 +2099,2.0,3.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/889-peak+year_c.csv b/SurgeData/889-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/889-peak+year_c.csv rename to SurgeData/889-peak+year_c.csv diff --git a/SurgeData/N=1000/889-peak+year_w.csv b/SurgeData/889-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/889-peak+year_w.csv rename to SurgeData/889-peak+year_w.csv diff --git a/SurgeData/N=1000/889-peak_c.csv b/SurgeData/889-peak_c.csv similarity index 100% rename from SurgeData/N=1000/889-peak_c.csv rename to SurgeData/889-peak_c.csv diff --git a/SurgeData/N=1000/889-peak_w.csv b/SurgeData/889-peak_w.csv similarity index 100% rename from SurgeData/N=1000/889-peak_w.csv rename to SurgeData/889-peak_w.csv diff --git a/SurgeData/N=1000/889-surge_c.csv b/SurgeData/889-surge_c.csv similarity index 100% rename from SurgeData/N=1000/889-surge_c.csv rename to SurgeData/889-surge_c.csv diff --git a/SurgeData/N=1000/889-surge_w.csv b/SurgeData/889-surge_w.csv similarity index 100% rename from SurgeData/N=1000/889-surge_w.csv rename to SurgeData/889-surge_w.csv diff --git a/SurgeData/N=1000/889-time_c.csv b/SurgeData/889-time_c.csv similarity index 100% rename from SurgeData/N=1000/889-time_c.csv rename to SurgeData/889-time_c.csv diff --git a/SurgeData/N=1000/889-time_w.csv b/SurgeData/889-time_w.csv similarity index 100% rename from SurgeData/N=1000/889-time_w.csv rename to SurgeData/889-time_w.csv diff --git a/SurgeData/N=1000/889-waterlevel_c.csv b/SurgeData/889-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/889-waterlevel_c.csv rename to SurgeData/889-waterlevel_c.csv diff --git a/SurgeData/N=1000/889-waterlevel_w.csv b/SurgeData/889-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/889-waterlevel_w.csv rename to SurgeData/889-waterlevel_w.csv diff --git a/SurgeData/89-num_storm.csv b/SurgeData/89-num_storm.csv new file mode 100644 index 00000000..2111deaf --- /dev/null +++ b/SurgeData/89-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,0.0 +2021,0.0,5.0 +2022,0.0,5.0 +2023,3.0,7.0 +2024,0.0,2.0 +2025,2.0,6.0 +2026,2.0,5.0 +2027,1.0,5.0 +2028,1.0,2.0 +2029,3.0,4.0 +2030,1.0,6.0 +2031,1.0,4.0 +2032,2.0,1.0 +2033,3.0,4.0 +2034,1.0,5.0 +2035,2.0,6.0 +2036,1.0,2.0 +2037,2.0,2.0 +2038,0.0,7.0 +2039,0.0,6.0 +2040,0.0,4.0 +2041,1.0,3.0 +2042,1.0,4.0 +2043,4.0,3.0 +2044,0.0,4.0 +2045,2.0,4.0 +2046,1.0,4.0 +2047,2.0,2.0 +2048,0.0,3.0 +2049,2.0,3.0 +2050,0.0,2.0 +2051,5.0,5.0 +2052,2.0,0.0 +2053,0.0,2.0 +2054,0.0,7.0 +2055,1.0,5.0 +2056,4.0,4.0 +2057,1.0,4.0 +2058,1.0,3.0 +2059,1.0,3.0 +2060,1.0,4.0 +2061,3.0,3.0 +2062,0.0,3.0 +2063,1.0,4.0 +2064,2.0,3.0 +2065,1.0,5.0 +2066,2.0,6.0 +2067,0.0,4.0 +2068,0.0,1.0 +2069,1.0,2.0 +2070,1.0,4.0 +2071,3.0,5.0 +2072,2.0,0.0 +2073,1.0,8.0 +2074,2.0,2.0 +2075,2.0,5.0 +2076,2.0,4.0 +2077,4.0,3.0 +2078,1.0,4.0 +2079,1.0,1.0 +2080,1.0,4.0 +2081,2.0,4.0 +2082,4.0,5.0 +2083,1.0,3.0 +2084,1.0,6.0 +2085,3.0,4.0 +2086,2.0,2.0 +2087,2.0,4.0 +2088,2.0,4.0 +2089,3.0,3.0 +2090,1.0,4.0 +2091,1.0,2.0 +2092,1.0,4.0 +2093,3.0,5.0 +2094,3.0,4.0 +2095,1.0,3.0 +2096,0.0,6.0 +2097,3.0,10.0 +2098,1.0,1.0 +2099,1.0,2.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/89-peak+year_c.csv b/SurgeData/89-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/89-peak+year_c.csv rename to SurgeData/89-peak+year_c.csv diff --git a/SurgeData/N=1000/89-peak+year_w.csv b/SurgeData/89-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/89-peak+year_w.csv rename to SurgeData/89-peak+year_w.csv diff --git a/SurgeData/N=1000/89-peak_c.csv b/SurgeData/89-peak_c.csv similarity index 100% rename from SurgeData/N=1000/89-peak_c.csv rename to SurgeData/89-peak_c.csv diff --git a/SurgeData/N=1000/89-peak_w.csv b/SurgeData/89-peak_w.csv similarity index 100% rename from SurgeData/N=1000/89-peak_w.csv rename to SurgeData/89-peak_w.csv diff --git a/SurgeData/N=1000/89-surge_c.csv b/SurgeData/89-surge_c.csv similarity index 100% rename from SurgeData/N=1000/89-surge_c.csv rename to SurgeData/89-surge_c.csv diff --git a/SurgeData/N=1000/89-surge_w.csv b/SurgeData/89-surge_w.csv similarity index 100% rename from SurgeData/N=1000/89-surge_w.csv rename to SurgeData/89-surge_w.csv diff --git a/SurgeData/N=1000/89-time_c.csv b/SurgeData/89-time_c.csv similarity index 100% rename from SurgeData/N=1000/89-time_c.csv rename to SurgeData/89-time_c.csv diff --git a/SurgeData/N=1000/89-time_w.csv b/SurgeData/89-time_w.csv similarity index 100% rename from SurgeData/N=1000/89-time_w.csv rename to SurgeData/89-time_w.csv diff --git a/SurgeData/N=1000/89-waterlevel_c.csv b/SurgeData/89-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/89-waterlevel_c.csv rename to SurgeData/89-waterlevel_c.csv diff --git a/SurgeData/N=1000/89-waterlevel_w.csv b/SurgeData/89-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/89-waterlevel_w.csv rename to SurgeData/89-waterlevel_w.csv diff --git a/SurgeData/890-num_storm.csv b/SurgeData/890-num_storm.csv new file mode 100644 index 00000000..3572a8d9 --- /dev/null +++ b/SurgeData/890-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,1.0 +2022,1.0,5.0 +2023,2.0,1.0 +2024,1.0,3.0 +2025,2.0,8.0 +2026,2.0,5.0 +2027,1.0,4.0 +2028,4.0,1.0 +2029,2.0,4.0 +2030,3.0,5.0 +2031,1.0,11.0 +2032,2.0,5.0 +2033,0.0,3.0 +2034,1.0,2.0 +2035,2.0,2.0 +2036,0.0,5.0 +2037,2.0,2.0 +2038,0.0,4.0 +2039,0.0,7.0 +2040,2.0,4.0 +2041,1.0,2.0 +2042,1.0,6.0 +2043,3.0,4.0 +2044,2.0,6.0 +2045,1.0,4.0 +2046,1.0,4.0 +2047,2.0,6.0 +2048,1.0,6.0 +2049,0.0,1.0 +2050,1.0,4.0 +2051,2.0,2.0 +2052,3.0,4.0 +2053,1.0,7.0 +2054,3.0,3.0 +2055,1.0,1.0 +2056,1.0,3.0 +2057,0.0,5.0 +2058,0.0,5.0 +2059,1.0,7.0 +2060,2.0,2.0 +2061,0.0,9.0 +2062,1.0,4.0 +2063,0.0,2.0 +2064,4.0,2.0 +2065,2.0,3.0 +2066,1.0,5.0 +2067,2.0,6.0 +2068,1.0,3.0 +2069,0.0,1.0 +2070,3.0,7.0 +2071,0.0,5.0 +2072,0.0,1.0 +2073,1.0,5.0 +2074,0.0,3.0 +2075,1.0,4.0 +2076,4.0,2.0 +2077,3.0,8.0 +2078,1.0,10.0 +2079,1.0,2.0 +2080,0.0,5.0 +2081,3.0,4.0 +2082,1.0,5.0 +2083,0.0,7.0 +2084,2.0,3.0 +2085,2.0,3.0 +2086,0.0,7.0 +2087,2.0,1.0 +2088,1.0,3.0 +2089,2.0,3.0 +2090,1.0,3.0 +2091,0.0,8.0 +2092,0.0,3.0 +2093,2.0,6.0 +2094,0.0,7.0 +2095,2.0,4.0 +2096,0.0,3.0 +2097,2.0,5.0 +2098,1.0,1.0 +2099,1.0,5.0 +2100,1.0,1.0 diff --git a/SurgeData/N=1000/890-peak+year_c.csv b/SurgeData/890-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/890-peak+year_c.csv rename to SurgeData/890-peak+year_c.csv diff --git a/SurgeData/N=1000/890-peak+year_w.csv b/SurgeData/890-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/890-peak+year_w.csv rename to SurgeData/890-peak+year_w.csv diff --git a/SurgeData/N=1000/890-peak_c.csv b/SurgeData/890-peak_c.csv similarity index 100% rename from SurgeData/N=1000/890-peak_c.csv rename to SurgeData/890-peak_c.csv diff --git a/SurgeData/N=1000/890-peak_w.csv b/SurgeData/890-peak_w.csv similarity index 100% rename from SurgeData/N=1000/890-peak_w.csv rename to SurgeData/890-peak_w.csv diff --git a/SurgeData/N=1000/890-surge_c.csv b/SurgeData/890-surge_c.csv similarity index 100% rename from SurgeData/N=1000/890-surge_c.csv rename to SurgeData/890-surge_c.csv diff --git a/SurgeData/N=1000/890-surge_w.csv b/SurgeData/890-surge_w.csv similarity index 100% rename from SurgeData/N=1000/890-surge_w.csv rename to SurgeData/890-surge_w.csv diff --git a/SurgeData/N=1000/890-time_c.csv b/SurgeData/890-time_c.csv similarity index 100% rename from SurgeData/N=1000/890-time_c.csv rename to SurgeData/890-time_c.csv diff --git a/SurgeData/N=1000/890-time_w.csv b/SurgeData/890-time_w.csv similarity index 100% rename from SurgeData/N=1000/890-time_w.csv rename to SurgeData/890-time_w.csv diff --git a/SurgeData/N=1000/890-waterlevel_c.csv b/SurgeData/890-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/890-waterlevel_c.csv rename to SurgeData/890-waterlevel_c.csv diff --git a/SurgeData/N=1000/890-waterlevel_w.csv b/SurgeData/890-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/890-waterlevel_w.csv rename to SurgeData/890-waterlevel_w.csv diff --git a/SurgeData/891-num_storm.csv b/SurgeData/891-num_storm.csv new file mode 100644 index 00000000..d8071d0c --- /dev/null +++ b/SurgeData/891-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,2.0,6.0 +2022,1.0,2.0 +2023,0.0,3.0 +2024,4.0,3.0 +2025,0.0,2.0 +2026,0.0,7.0 +2027,0.0,4.0 +2028,0.0,1.0 +2029,0.0,8.0 +2030,1.0,4.0 +2031,5.0,7.0 +2032,0.0,2.0 +2033,2.0,7.0 +2034,0.0,7.0 +2035,0.0,2.0 +2036,6.0,4.0 +2037,1.0,0.0 +2038,1.0,5.0 +2039,3.0,4.0 +2040,2.0,3.0 +2041,0.0,5.0 +2042,1.0,5.0 +2043,2.0,4.0 +2044,0.0,3.0 +2045,2.0,2.0 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a/SurgeData/N=1000/891-peak+year_w.csv b/SurgeData/891-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/891-peak+year_w.csv rename to SurgeData/891-peak+year_w.csv diff --git a/SurgeData/N=1000/891-peak_c.csv b/SurgeData/891-peak_c.csv similarity index 100% rename from SurgeData/N=1000/891-peak_c.csv rename to SurgeData/891-peak_c.csv diff --git a/SurgeData/N=1000/891-peak_w.csv b/SurgeData/891-peak_w.csv similarity index 100% rename from SurgeData/N=1000/891-peak_w.csv rename to SurgeData/891-peak_w.csv diff --git a/SurgeData/N=1000/891-surge_c.csv b/SurgeData/891-surge_c.csv similarity index 100% rename from SurgeData/N=1000/891-surge_c.csv rename to SurgeData/891-surge_c.csv diff --git a/SurgeData/N=1000/891-surge_w.csv b/SurgeData/891-surge_w.csv similarity index 100% rename from SurgeData/N=1000/891-surge_w.csv rename to SurgeData/891-surge_w.csv diff --git a/SurgeData/N=1000/891-time_c.csv b/SurgeData/891-time_c.csv similarity index 100% rename from SurgeData/N=1000/891-time_c.csv rename to SurgeData/891-time_c.csv diff --git a/SurgeData/N=1000/891-time_w.csv b/SurgeData/891-time_w.csv similarity index 100% rename from SurgeData/N=1000/891-time_w.csv rename to SurgeData/891-time_w.csv diff --git a/SurgeData/N=1000/891-waterlevel_c.csv b/SurgeData/891-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/891-waterlevel_c.csv rename to SurgeData/891-waterlevel_c.csv diff --git a/SurgeData/N=1000/891-waterlevel_w.csv b/SurgeData/891-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/891-waterlevel_w.csv rename to SurgeData/891-waterlevel_w.csv diff --git a/SurgeData/892-num_storm.csv b/SurgeData/892-num_storm.csv new file mode 100644 index 00000000..a57dbe94 --- /dev/null +++ b/SurgeData/892-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,4.0 +2022,3.0,5.0 +2023,2.0,7.0 +2024,2.0,4.0 +2025,0.0,4.0 +2026,4.0,5.0 +2027,0.0,3.0 +2028,2.0,4.0 +2029,1.0,3.0 +2030,3.0,6.0 +2031,3.0,3.0 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a/SurgeData/N=1000/892-peak+year_c.csv b/SurgeData/892-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/892-peak+year_c.csv rename to SurgeData/892-peak+year_c.csv diff --git a/SurgeData/N=1000/892-peak+year_w.csv b/SurgeData/892-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/892-peak+year_w.csv rename to SurgeData/892-peak+year_w.csv diff --git a/SurgeData/N=1000/892-peak_c.csv b/SurgeData/892-peak_c.csv similarity index 100% rename from SurgeData/N=1000/892-peak_c.csv rename to SurgeData/892-peak_c.csv diff --git a/SurgeData/N=1000/892-peak_w.csv b/SurgeData/892-peak_w.csv similarity index 100% rename from SurgeData/N=1000/892-peak_w.csv rename to SurgeData/892-peak_w.csv diff --git a/SurgeData/N=1000/892-surge_c.csv b/SurgeData/892-surge_c.csv similarity index 100% rename from SurgeData/N=1000/892-surge_c.csv rename to SurgeData/892-surge_c.csv diff --git a/SurgeData/N=1000/892-surge_w.csv b/SurgeData/892-surge_w.csv similarity index 100% rename from SurgeData/N=1000/892-surge_w.csv rename to SurgeData/892-surge_w.csv diff --git a/SurgeData/N=1000/892-time_c.csv b/SurgeData/892-time_c.csv similarity index 100% rename from SurgeData/N=1000/892-time_c.csv rename to SurgeData/892-time_c.csv diff --git a/SurgeData/N=1000/892-time_w.csv b/SurgeData/892-time_w.csv similarity index 100% rename from SurgeData/N=1000/892-time_w.csv rename to SurgeData/892-time_w.csv diff --git a/SurgeData/N=1000/892-waterlevel_c.csv b/SurgeData/892-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/892-waterlevel_c.csv rename to SurgeData/892-waterlevel_c.csv diff --git a/SurgeData/N=1000/892-waterlevel_w.csv b/SurgeData/892-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/892-waterlevel_w.csv rename to SurgeData/892-waterlevel_w.csv diff --git a/SurgeData/893-num_storm.csv b/SurgeData/893-num_storm.csv new file mode 100644 index 00000000..809080e0 --- /dev/null +++ b/SurgeData/893-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,1.0 +2021,1.0,5.0 +2022,0.0,3.0 +2023,0.0,4.0 +2024,1.0,5.0 +2025,0.0,5.0 +2026,0.0,3.0 +2027,1.0,1.0 +2028,2.0,6.0 +2029,1.0,5.0 +2030,3.0,4.0 +2031,2.0,2.0 +2032,4.0,7.0 +2033,3.0,9.0 +2034,1.0,4.0 +2035,2.0,4.0 +2036,0.0,4.0 +2037,0.0,11.0 +2038,1.0,4.0 +2039,1.0,6.0 +2040,4.0,4.0 +2041,3.0,3.0 +2042,1.0,2.0 +2043,2.0,5.0 +2044,2.0,6.0 +2045,1.0,5.0 +2046,0.0,4.0 +2047,3.0,3.0 +2048,1.0,6.0 +2049,3.0,2.0 +2050,2.0,3.0 +2051,1.0,2.0 +2052,3.0,4.0 +2053,2.0,3.0 +2054,1.0,5.0 +2055,2.0,4.0 +2056,2.0,6.0 +2057,3.0,7.0 +2058,3.0,4.0 +2059,3.0,8.0 +2060,1.0,2.0 +2061,2.0,3.0 +2062,1.0,1.0 +2063,1.0,6.0 +2064,0.0,4.0 +2065,1.0,8.0 +2066,2.0,7.0 +2067,1.0,4.0 +2068,1.0,5.0 +2069,2.0,5.0 +2070,0.0,3.0 +2071,2.0,1.0 +2072,1.0,5.0 +2073,1.0,4.0 +2074,0.0,5.0 +2075,1.0,3.0 +2076,0.0,5.0 +2077,0.0,3.0 +2078,2.0,0.0 +2079,3.0,3.0 +2080,3.0,4.0 +2081,3.0,6.0 +2082,3.0,5.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,0.0,1.0 +2086,1.0,6.0 +2087,0.0,4.0 +2088,3.0,3.0 +2089,0.0,6.0 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SurgeData/N=1000/893-surge_c.csv rename to SurgeData/893-surge_c.csv diff --git a/SurgeData/N=1000/893-surge_w.csv b/SurgeData/893-surge_w.csv similarity index 100% rename from SurgeData/N=1000/893-surge_w.csv rename to SurgeData/893-surge_w.csv diff --git a/SurgeData/N=1000/893-time_c.csv b/SurgeData/893-time_c.csv similarity index 100% rename from SurgeData/N=1000/893-time_c.csv rename to SurgeData/893-time_c.csv diff --git a/SurgeData/N=1000/893-time_w.csv b/SurgeData/893-time_w.csv similarity index 100% rename from SurgeData/N=1000/893-time_w.csv rename to SurgeData/893-time_w.csv diff --git a/SurgeData/N=1000/893-waterlevel_c.csv b/SurgeData/893-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/893-waterlevel_c.csv rename to SurgeData/893-waterlevel_c.csv diff --git a/SurgeData/N=1000/893-waterlevel_w.csv b/SurgeData/893-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/893-waterlevel_w.csv rename to SurgeData/893-waterlevel_w.csv diff --git a/SurgeData/894-num_storm.csv b/SurgeData/894-num_storm.csv new file mode 100644 index 00000000..214294e3 --- /dev/null +++ b/SurgeData/894-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,4.0,6.0 +2022,2.0,3.0 +2023,0.0,5.0 +2024,2.0,5.0 +2025,0.0,3.0 +2026,3.0,5.0 +2027,0.0,6.0 +2028,2.0,4.0 +2029,2.0,2.0 +2030,2.0,5.0 +2031,1.0,8.0 +2032,2.0,4.0 +2033,1.0,5.0 +2034,0.0,4.0 +2035,1.0,3.0 +2036,1.0,4.0 +2037,1.0,5.0 +2038,1.0,2.0 +2039,1.0,3.0 +2040,2.0,2.0 +2041,0.0,6.0 +2042,3.0,2.0 +2043,0.0,5.0 +2044,3.0,7.0 +2045,2.0,7.0 +2046,2.0,4.0 +2047,2.0,1.0 +2048,2.0,2.0 +2049,3.0,4.0 +2050,0.0,1.0 +2051,1.0,8.0 +2052,0.0,4.0 +2053,1.0,2.0 +2054,0.0,4.0 +2055,1.0,6.0 +2056,0.0,5.0 +2057,4.0,3.0 +2058,0.0,3.0 +2059,1.0,5.0 +2060,1.0,3.0 +2061,3.0,4.0 +2062,1.0,5.0 +2063,0.0,4.0 +2064,1.0,1.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,1.0,5.0 +2068,0.0,1.0 +2069,2.0,2.0 +2070,1.0,0.0 +2071,0.0,2.0 +2072,1.0,8.0 +2073,0.0,4.0 +2074,3.0,4.0 +2075,2.0,5.0 +2076,2.0,5.0 +2077,2.0,6.0 +2078,2.0,1.0 +2079,1.0,3.0 +2080,1.0,5.0 +2081,0.0,7.0 +2082,0.0,8.0 +2083,2.0,12.0 +2084,3.0,4.0 +2085,2.0,1.0 +2086,0.0,5.0 +2087,0.0,2.0 +2088,1.0,1.0 +2089,3.0,2.0 +2090,3.0,3.0 +2091,1.0,2.0 +2092,2.0,7.0 +2093,2.0,3.0 +2094,3.0,3.0 +2095,3.0,2.0 +2096,2.0,1.0 +2097,4.0,2.0 +2098,1.0,5.0 +2099,1.0,3.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/894-peak+year_c.csv b/SurgeData/894-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/894-peak+year_c.csv rename to SurgeData/894-peak+year_c.csv diff --git a/SurgeData/N=1000/894-peak+year_w.csv b/SurgeData/894-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/894-peak+year_w.csv rename to SurgeData/894-peak+year_w.csv diff --git a/SurgeData/N=1000/894-peak_c.csv b/SurgeData/894-peak_c.csv similarity index 100% rename from SurgeData/N=1000/894-peak_c.csv rename to SurgeData/894-peak_c.csv diff --git a/SurgeData/N=1000/894-peak_w.csv b/SurgeData/894-peak_w.csv similarity index 100% rename from SurgeData/N=1000/894-peak_w.csv rename to SurgeData/894-peak_w.csv diff --git a/SurgeData/N=1000/894-surge_c.csv b/SurgeData/894-surge_c.csv similarity index 100% rename from SurgeData/N=1000/894-surge_c.csv rename to SurgeData/894-surge_c.csv diff --git a/SurgeData/N=1000/894-surge_w.csv b/SurgeData/894-surge_w.csv similarity index 100% rename from SurgeData/N=1000/894-surge_w.csv rename to SurgeData/894-surge_w.csv diff --git a/SurgeData/N=1000/894-time_c.csv b/SurgeData/894-time_c.csv similarity index 100% rename from SurgeData/N=1000/894-time_c.csv rename to SurgeData/894-time_c.csv diff --git a/SurgeData/N=1000/894-time_w.csv b/SurgeData/894-time_w.csv similarity index 100% rename from SurgeData/N=1000/894-time_w.csv rename to SurgeData/894-time_w.csv diff --git a/SurgeData/N=1000/894-waterlevel_c.csv b/SurgeData/894-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/894-waterlevel_c.csv rename to SurgeData/894-waterlevel_c.csv diff --git a/SurgeData/N=1000/894-waterlevel_w.csv b/SurgeData/894-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/894-waterlevel_w.csv rename to SurgeData/894-waterlevel_w.csv diff --git a/SurgeData/895-num_storm.csv b/SurgeData/895-num_storm.csv new file mode 100644 index 00000000..0e5f6392 --- /dev/null +++ b/SurgeData/895-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,0.0,3.0 +2022,1.0,1.0 +2023,3.0,2.0 +2024,3.0,5.0 +2025,0.0,6.0 +2026,1.0,5.0 +2027,2.0,1.0 +2028,3.0,7.0 +2029,3.0,6.0 +2030,2.0,7.0 +2031,2.0,5.0 +2032,2.0,5.0 +2033,2.0,6.0 +2034,1.0,2.0 +2035,1.0,5.0 +2036,0.0,5.0 +2037,2.0,3.0 +2038,1.0,7.0 +2039,2.0,7.0 +2040,0.0,2.0 +2041,1.0,3.0 +2042,4.0,6.0 +2043,1.0,3.0 +2044,3.0,4.0 +2045,0.0,7.0 +2046,0.0,3.0 +2047,2.0,8.0 +2048,2.0,4.0 +2049,2.0,4.0 +2050,1.0,9.0 +2051,0.0,4.0 +2052,0.0,10.0 +2053,0.0,2.0 +2054,0.0,3.0 +2055,2.0,1.0 +2056,2.0,5.0 +2057,0.0,6.0 +2058,3.0,1.0 +2059,0.0,4.0 +2060,2.0,4.0 +2061,0.0,5.0 +2062,1.0,2.0 +2063,0.0,5.0 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rename from SurgeData/N=1000/895-peak_c.csv rename to SurgeData/895-peak_c.csv diff --git a/SurgeData/N=1000/895-peak_w.csv b/SurgeData/895-peak_w.csv similarity index 100% rename from SurgeData/N=1000/895-peak_w.csv rename to SurgeData/895-peak_w.csv diff --git a/SurgeData/N=1000/895-surge_c.csv b/SurgeData/895-surge_c.csv similarity index 100% rename from SurgeData/N=1000/895-surge_c.csv rename to SurgeData/895-surge_c.csv diff --git a/SurgeData/N=1000/895-surge_w.csv b/SurgeData/895-surge_w.csv similarity index 100% rename from SurgeData/N=1000/895-surge_w.csv rename to SurgeData/895-surge_w.csv diff --git a/SurgeData/N=1000/895-time_c.csv b/SurgeData/895-time_c.csv similarity index 100% rename from SurgeData/N=1000/895-time_c.csv rename to SurgeData/895-time_c.csv diff --git a/SurgeData/N=1000/895-time_w.csv b/SurgeData/895-time_w.csv similarity index 100% rename from SurgeData/N=1000/895-time_w.csv rename to SurgeData/895-time_w.csv diff --git a/SurgeData/N=1000/895-waterlevel_c.csv b/SurgeData/895-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/895-waterlevel_c.csv rename to SurgeData/895-waterlevel_c.csv diff --git a/SurgeData/N=1000/895-waterlevel_w.csv b/SurgeData/895-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/895-waterlevel_w.csv rename to SurgeData/895-waterlevel_w.csv diff --git a/SurgeData/896-num_storm.csv b/SurgeData/896-num_storm.csv new file mode 100644 index 00000000..a996e8fd --- /dev/null +++ b/SurgeData/896-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,3.0,3.0 +2022,2.0,2.0 +2023,2.0,3.0 +2024,1.0,8.0 +2025,1.0,6.0 +2026,3.0,6.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,2.0,5.0 +2030,2.0,5.0 +2031,2.0,4.0 +2032,0.0,4.0 +2033,1.0,7.0 +2034,3.0,2.0 +2035,0.0,1.0 +2036,6.0,6.0 +2037,1.0,4.0 +2038,2.0,3.0 +2039,0.0,3.0 +2040,2.0,1.0 +2041,3.0,6.0 +2042,1.0,3.0 +2043,3.0,4.0 +2044,1.0,7.0 +2045,1.0,2.0 +2046,1.0,4.0 +2047,1.0,4.0 +2048,2.0,1.0 +2049,1.0,0.0 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index 100% rename from SurgeData/N=1000/896-peak+year_w.csv rename to SurgeData/896-peak+year_w.csv diff --git a/SurgeData/N=1000/896-peak_c.csv b/SurgeData/896-peak_c.csv similarity index 100% rename from SurgeData/N=1000/896-peak_c.csv rename to SurgeData/896-peak_c.csv diff --git a/SurgeData/N=1000/896-peak_w.csv b/SurgeData/896-peak_w.csv similarity index 100% rename from SurgeData/N=1000/896-peak_w.csv rename to SurgeData/896-peak_w.csv diff --git a/SurgeData/N=1000/896-surge_c.csv b/SurgeData/896-surge_c.csv similarity index 100% rename from SurgeData/N=1000/896-surge_c.csv rename to SurgeData/896-surge_c.csv diff --git a/SurgeData/N=1000/896-surge_w.csv b/SurgeData/896-surge_w.csv similarity index 100% rename from SurgeData/N=1000/896-surge_w.csv rename to SurgeData/896-surge_w.csv diff --git a/SurgeData/N=1000/896-time_c.csv b/SurgeData/896-time_c.csv similarity index 100% rename from SurgeData/N=1000/896-time_c.csv rename to SurgeData/896-time_c.csv diff --git a/SurgeData/N=1000/896-time_w.csv b/SurgeData/896-time_w.csv similarity index 100% rename from SurgeData/N=1000/896-time_w.csv rename to SurgeData/896-time_w.csv diff --git a/SurgeData/N=1000/896-waterlevel_c.csv b/SurgeData/896-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/896-waterlevel_c.csv rename to SurgeData/896-waterlevel_c.csv diff --git a/SurgeData/N=1000/896-waterlevel_w.csv b/SurgeData/896-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/896-waterlevel_w.csv rename to SurgeData/896-waterlevel_w.csv diff --git a/SurgeData/N=1000/897-peak+year_c.csv b/SurgeData/897-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/897-peak+year_c.csv rename to SurgeData/897-peak+year_c.csv diff --git a/SurgeData/N=1000/897-peak+year_w.csv b/SurgeData/897-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/897-peak+year_w.csv rename to SurgeData/897-peak+year_w.csv diff --git a/SurgeData/N=1000/897-peak_c.csv b/SurgeData/897-peak_c.csv similarity index 100% rename from SurgeData/N=1000/897-peak_c.csv rename to SurgeData/897-peak_c.csv diff --git a/SurgeData/N=1000/897-peak_w.csv b/SurgeData/897-peak_w.csv similarity index 100% rename from SurgeData/N=1000/897-peak_w.csv rename to SurgeData/897-peak_w.csv diff --git a/SurgeData/N=1000/897-surge_c.csv b/SurgeData/897-surge_c.csv similarity index 100% rename from SurgeData/N=1000/897-surge_c.csv rename to SurgeData/897-surge_c.csv diff --git a/SurgeData/N=1000/897-surge_w.csv b/SurgeData/897-surge_w.csv similarity index 100% rename from SurgeData/N=1000/897-surge_w.csv rename to SurgeData/897-surge_w.csv diff --git a/SurgeData/N=1000/897-time_c.csv b/SurgeData/897-time_c.csv similarity index 100% rename from SurgeData/N=1000/897-time_c.csv rename to SurgeData/897-time_c.csv diff --git a/SurgeData/N=1000/897-time_w.csv b/SurgeData/897-time_w.csv similarity index 100% rename from SurgeData/N=1000/897-time_w.csv rename to SurgeData/897-time_w.csv diff --git a/SurgeData/N=1000/897-waterlevel_c.csv b/SurgeData/897-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/897-waterlevel_c.csv rename to SurgeData/897-waterlevel_c.csv diff --git a/SurgeData/N=1000/897-waterlevel_w.csv b/SurgeData/897-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/897-waterlevel_w.csv rename to SurgeData/897-waterlevel_w.csv diff --git a/SurgeData/898-num_storm.csv b/SurgeData/898-num_storm.csv new file mode 100644 index 00000000..36e0bcf7 --- /dev/null +++ b/SurgeData/898-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,2.0,4.0 +2022,0.0,6.0 +2023,0.0,8.0 +2024,1.0,7.0 +2025,1.0,5.0 +2026,2.0,3.0 +2027,1.0,6.0 +2028,0.0,5.0 +2029,1.0,3.0 +2030,1.0,4.0 +2031,2.0,1.0 +2032,1.0,3.0 +2033,2.0,4.0 +2034,2.0,2.0 +2035,2.0,6.0 +2036,2.0,5.0 +2037,1.0,2.0 +2038,1.0,8.0 +2039,1.0,4.0 +2040,3.0,3.0 +2041,2.0,2.0 +2042,2.0,6.0 +2043,1.0,3.0 +2044,0.0,8.0 +2045,3.0,7.0 +2046,0.0,4.0 +2047,1.0,7.0 +2048,2.0,5.0 +2049,1.0,2.0 +2050,1.0,6.0 +2051,2.0,3.0 +2052,5.0,3.0 +2053,0.0,5.0 +2054,0.0,3.0 +2055,0.0,3.0 +2056,1.0,9.0 +2057,2.0,5.0 +2058,2.0,4.0 +2059,2.0,4.0 +2060,4.0,5.0 +2061,0.0,2.0 +2062,3.0,2.0 +2063,1.0,6.0 +2064,1.0,5.0 +2065,1.0,3.0 +2066,4.0,2.0 +2067,1.0,2.0 +2068,1.0,6.0 +2069,4.0,8.0 +2070,0.0,4.0 +2071,0.0,4.0 +2072,0.0,4.0 +2073,3.0,0.0 +2074,2.0,5.0 +2075,2.0,3.0 +2076,2.0,2.0 +2077,2.0,3.0 +2078,1.0,4.0 +2079,0.0,9.0 +2080,1.0,7.0 +2081,1.0,3.0 +2082,1.0,5.0 +2083,1.0,2.0 +2084,2.0,5.0 +2085,3.0,6.0 +2086,1.0,4.0 +2087,2.0,1.0 +2088,1.0,3.0 +2089,2.0,4.0 +2090,3.0,5.0 +2091,1.0,0.0 +2092,2.0,3.0 +2093,1.0,7.0 +2094,2.0,2.0 +2095,2.0,7.0 +2096,1.0,7.0 +2097,3.0,1.0 +2098,2.0,4.0 +2099,1.0,3.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/898-peak+year_c.csv b/SurgeData/898-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/898-peak+year_c.csv rename to SurgeData/898-peak+year_c.csv diff --git a/SurgeData/N=1000/898-peak+year_w.csv b/SurgeData/898-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/898-peak+year_w.csv rename to SurgeData/898-peak+year_w.csv diff --git a/SurgeData/N=1000/898-peak_c.csv b/SurgeData/898-peak_c.csv similarity index 100% rename from SurgeData/N=1000/898-peak_c.csv rename to SurgeData/898-peak_c.csv diff --git a/SurgeData/N=1000/898-peak_w.csv b/SurgeData/898-peak_w.csv similarity index 100% rename from SurgeData/N=1000/898-peak_w.csv rename to SurgeData/898-peak_w.csv diff --git a/SurgeData/N=1000/898-surge_c.csv b/SurgeData/898-surge_c.csv similarity index 100% rename from SurgeData/N=1000/898-surge_c.csv rename to SurgeData/898-surge_c.csv diff --git a/SurgeData/N=1000/898-surge_w.csv b/SurgeData/898-surge_w.csv similarity index 100% rename from SurgeData/N=1000/898-surge_w.csv rename to SurgeData/898-surge_w.csv diff --git a/SurgeData/N=1000/898-time_c.csv b/SurgeData/898-time_c.csv similarity index 100% rename from SurgeData/N=1000/898-time_c.csv rename to SurgeData/898-time_c.csv diff --git a/SurgeData/N=1000/898-time_w.csv b/SurgeData/898-time_w.csv similarity index 100% rename from SurgeData/N=1000/898-time_w.csv rename to SurgeData/898-time_w.csv diff --git a/SurgeData/N=1000/898-waterlevel_c.csv b/SurgeData/898-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/898-waterlevel_c.csv rename to SurgeData/898-waterlevel_c.csv diff --git a/SurgeData/N=1000/898-waterlevel_w.csv b/SurgeData/898-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/898-waterlevel_w.csv rename to SurgeData/898-waterlevel_w.csv diff --git a/SurgeData/899-num_storm.csv b/SurgeData/899-num_storm.csv new file mode 100644 index 00000000..aea5961b --- /dev/null +++ b/SurgeData/899-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,5.0,5.0 +2021,0.0,1.0 +2022,0.0,3.0 +2023,0.0,3.0 +2024,2.0,8.0 +2025,1.0,3.0 +2026,1.0,11.0 +2027,0.0,5.0 +2028,1.0,5.0 +2029,2.0,6.0 +2030,2.0,1.0 +2031,0.0,7.0 +2032,0.0,4.0 +2033,0.0,4.0 +2034,2.0,2.0 +2035,3.0,4.0 +2036,1.0,4.0 +2037,3.0,4.0 +2038,1.0,3.0 +2039,0.0,4.0 +2040,3.0,9.0 +2041,1.0,4.0 +2042,2.0,6.0 +2043,0.0,3.0 +2044,2.0,6.0 +2045,1.0,4.0 +2046,0.0,2.0 +2047,2.0,4.0 +2048,0.0,1.0 +2049,1.0,4.0 +2050,1.0,6.0 +2051,2.0,3.0 +2052,3.0,2.0 +2053,1.0,5.0 +2054,1.0,4.0 +2055,1.0,4.0 +2056,2.0,1.0 +2057,0.0,4.0 +2058,2.0,5.0 +2059,4.0,8.0 +2060,2.0,7.0 +2061,1.0,3.0 +2062,3.0,5.0 +2063,1.0,7.0 +2064,0.0,5.0 +2065,0.0,8.0 +2066,2.0,6.0 +2067,1.0,7.0 +2068,2.0,2.0 +2069,3.0,2.0 +2070,2.0,5.0 +2071,0.0,3.0 +2072,3.0,3.0 +2073,0.0,1.0 +2074,3.0,8.0 +2075,0.0,6.0 +2076,1.0,2.0 +2077,0.0,4.0 +2078,3.0,5.0 +2079,3.0,2.0 +2080,1.0,4.0 +2081,1.0,6.0 +2082,1.0,5.0 +2083,2.0,0.0 +2084,2.0,6.0 +2085,2.0,7.0 +2086,3.0,2.0 +2087,2.0,5.0 +2088,2.0,7.0 +2089,2.0,5.0 +2090,0.0,3.0 +2091,1.0,3.0 +2092,1.0,0.0 +2093,1.0,4.0 +2094,3.0,2.0 +2095,0.0,4.0 +2096,3.0,4.0 +2097,1.0,6.0 +2098,0.0,5.0 +2099,0.0,5.0 +2100,0.0,7.0 diff --git a/SurgeData/N=1000/899-peak+year_c.csv b/SurgeData/899-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/899-peak+year_c.csv rename to SurgeData/899-peak+year_c.csv diff --git a/SurgeData/N=1000/899-peak+year_w.csv b/SurgeData/899-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/899-peak+year_w.csv rename to SurgeData/899-peak+year_w.csv diff --git a/SurgeData/N=1000/899-peak_c.csv b/SurgeData/899-peak_c.csv similarity index 100% rename from SurgeData/N=1000/899-peak_c.csv rename to SurgeData/899-peak_c.csv diff --git a/SurgeData/N=1000/899-peak_w.csv b/SurgeData/899-peak_w.csv similarity index 100% rename from SurgeData/N=1000/899-peak_w.csv rename to SurgeData/899-peak_w.csv diff --git a/SurgeData/N=1000/899-surge_c.csv b/SurgeData/899-surge_c.csv similarity index 100% rename from SurgeData/N=1000/899-surge_c.csv rename to SurgeData/899-surge_c.csv diff --git a/SurgeData/N=1000/899-surge_w.csv b/SurgeData/899-surge_w.csv similarity index 100% rename from SurgeData/N=1000/899-surge_w.csv rename to SurgeData/899-surge_w.csv diff --git a/SurgeData/N=1000/899-time_c.csv b/SurgeData/899-time_c.csv similarity index 100% rename from SurgeData/N=1000/899-time_c.csv rename to SurgeData/899-time_c.csv diff --git a/SurgeData/N=1000/899-time_w.csv b/SurgeData/899-time_w.csv similarity index 100% rename from SurgeData/N=1000/899-time_w.csv rename to SurgeData/899-time_w.csv diff --git a/SurgeData/N=1000/899-waterlevel_c.csv b/SurgeData/899-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/899-waterlevel_c.csv rename to SurgeData/899-waterlevel_c.csv diff --git a/SurgeData/N=1000/899-waterlevel_w.csv b/SurgeData/899-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/899-waterlevel_w.csv rename to SurgeData/899-waterlevel_w.csv diff --git a/SurgeData/9-num_storm.csv b/SurgeData/9-num_storm.csv new file mode 100644 index 00000000..3463d302 --- /dev/null +++ b/SurgeData/9-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,3.0 +2022,0.0,0.0 +2023,2.0,5.0 +2024,1.0,5.0 +2025,2.0,7.0 +2026,0.0,6.0 +2027,0.0,7.0 +2028,3.0,3.0 +2029,1.0,3.0 +2030,0.0,6.0 +2031,3.0,5.0 +2032,0.0,4.0 +2033,0.0,7.0 +2034,2.0,5.0 +2035,1.0,2.0 +2036,1.0,6.0 +2037,4.0,4.0 +2038,1.0,3.0 +2039,1.0,1.0 +2040,1.0,4.0 +2041,1.0,5.0 +2042,1.0,2.0 +2043,0.0,3.0 +2044,4.0,7.0 +2045,2.0,10.0 +2046,3.0,8.0 +2047,0.0,4.0 +2048,0.0,7.0 +2049,0.0,5.0 +2050,2.0,4.0 +2051,4.0,4.0 +2052,4.0,6.0 +2053,0.0,4.0 +2054,1.0,7.0 +2055,2.0,5.0 +2056,2.0,5.0 +2057,1.0,7.0 +2058,3.0,4.0 +2059,2.0,4.0 +2060,1.0,2.0 +2061,0.0,6.0 +2062,3.0,4.0 +2063,2.0,6.0 +2064,0.0,0.0 +2065,1.0,9.0 +2066,0.0,2.0 +2067,1.0,1.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,2.0,7.0 +2071,1.0,5.0 +2072,4.0,3.0 +2073,1.0,10.0 +2074,1.0,3.0 +2075,0.0,4.0 +2076,3.0,6.0 +2077,0.0,4.0 +2078,1.0,7.0 +2079,1.0,4.0 +2080,0.0,2.0 +2081,1.0,5.0 +2082,1.0,5.0 +2083,3.0,5.0 +2084,5.0,2.0 +2085,2.0,4.0 +2086,0.0,5.0 +2087,3.0,3.0 +2088,1.0,9.0 +2089,1.0,5.0 +2090,1.0,2.0 +2091,2.0,5.0 +2092,2.0,2.0 +2093,2.0,0.0 +2094,2.0,2.0 +2095,2.0,5.0 +2096,2.0,8.0 +2097,2.0,5.0 +2098,1.0,3.0 +2099,3.0,4.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/9-peak+year_c.csv b/SurgeData/9-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/9-peak+year_c.csv rename to SurgeData/9-peak+year_c.csv diff --git a/SurgeData/N=1000/9-peak+year_w.csv b/SurgeData/9-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/9-peak+year_w.csv rename to SurgeData/9-peak+year_w.csv diff --git a/SurgeData/N=1000/9-peak_c.csv b/SurgeData/9-peak_c.csv similarity index 100% rename from SurgeData/N=1000/9-peak_c.csv rename to SurgeData/9-peak_c.csv diff --git a/SurgeData/N=1000/9-peak_w.csv b/SurgeData/9-peak_w.csv similarity index 100% rename from SurgeData/N=1000/9-peak_w.csv rename to SurgeData/9-peak_w.csv diff --git a/SurgeData/N=1000/9-surge_c.csv b/SurgeData/9-surge_c.csv similarity index 100% rename from SurgeData/N=1000/9-surge_c.csv rename to SurgeData/9-surge_c.csv diff --git a/SurgeData/N=1000/9-surge_w.csv b/SurgeData/9-surge_w.csv similarity index 100% rename from SurgeData/N=1000/9-surge_w.csv rename to SurgeData/9-surge_w.csv diff --git a/SurgeData/N=1000/9-time_c.csv b/SurgeData/9-time_c.csv similarity index 100% rename from SurgeData/N=1000/9-time_c.csv rename to SurgeData/9-time_c.csv diff --git a/SurgeData/N=1000/9-time_w.csv b/SurgeData/9-time_w.csv similarity index 100% rename from SurgeData/N=1000/9-time_w.csv rename to SurgeData/9-time_w.csv diff --git a/SurgeData/N=1000/9-waterlevel_c.csv b/SurgeData/9-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/9-waterlevel_c.csv rename to SurgeData/9-waterlevel_c.csv diff --git a/SurgeData/N=1000/9-waterlevel_w.csv b/SurgeData/9-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/9-waterlevel_w.csv rename to SurgeData/9-waterlevel_w.csv diff --git a/SurgeData/90-num_storm.csv b/SurgeData/90-num_storm.csv new file mode 100644 index 00000000..6d5468c5 --- /dev/null +++ b/SurgeData/90-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,1.0,3.0 +2022,1.0,5.0 +2023,1.0,2.0 +2024,2.0,3.0 +2025,4.0,5.0 +2026,1.0,5.0 +2027,3.0,3.0 +2028,1.0,1.0 +2029,1.0,3.0 +2030,5.0,2.0 +2031,1.0,3.0 +2032,1.0,3.0 +2033,0.0,3.0 +2034,1.0,4.0 +2035,4.0,5.0 +2036,0.0,5.0 +2037,3.0,3.0 +2038,1.0,4.0 +2039,3.0,2.0 +2040,3.0,6.0 +2041,0.0,3.0 +2042,3.0,1.0 +2043,0.0,7.0 +2044,1.0,1.0 +2045,1.0,9.0 +2046,3.0,3.0 +2047,0.0,3.0 +2048,0.0,6.0 +2049,2.0,4.0 +2050,3.0,2.0 +2051,4.0,7.0 +2052,0.0,4.0 +2053,1.0,5.0 +2054,1.0,8.0 +2055,4.0,5.0 +2056,2.0,7.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,0.0,5.0 +2060,0.0,1.0 +2061,2.0,2.0 +2062,1.0,4.0 +2063,3.0,0.0 +2064,4.0,7.0 +2065,0.0,4.0 +2066,1.0,4.0 +2067,1.0,1.0 +2068,3.0,4.0 +2069,1.0,2.0 +2070,2.0,3.0 +2071,2.0,6.0 +2072,0.0,2.0 +2073,1.0,3.0 +2074,2.0,1.0 +2075,0.0,5.0 +2076,1.0,3.0 +2077,1.0,5.0 +2078,2.0,1.0 +2079,0.0,3.0 +2080,1.0,4.0 +2081,2.0,7.0 +2082,1.0,8.0 +2083,3.0,3.0 +2084,2.0,4.0 +2085,1.0,4.0 +2086,4.0,9.0 +2087,4.0,2.0 +2088,3.0,4.0 +2089,1.0,7.0 +2090,1.0,3.0 +2091,2.0,6.0 +2092,1.0,3.0 +2093,3.0,5.0 +2094,0.0,4.0 +2095,3.0,4.0 +2096,0.0,4.0 +2097,2.0,5.0 +2098,1.0,4.0 +2099,2.0,4.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/90-peak+year_c.csv b/SurgeData/90-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/90-peak+year_c.csv rename to SurgeData/90-peak+year_c.csv diff --git a/SurgeData/N=1000/90-peak+year_w.csv b/SurgeData/90-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/90-peak+year_w.csv rename to SurgeData/90-peak+year_w.csv diff --git a/SurgeData/N=1000/90-peak_c.csv b/SurgeData/90-peak_c.csv similarity index 100% rename from SurgeData/N=1000/90-peak_c.csv rename to SurgeData/90-peak_c.csv diff --git a/SurgeData/N=1000/90-peak_w.csv b/SurgeData/90-peak_w.csv similarity index 100% rename from SurgeData/N=1000/90-peak_w.csv rename to SurgeData/90-peak_w.csv diff --git a/SurgeData/N=1000/90-surge_c.csv b/SurgeData/90-surge_c.csv similarity index 100% rename from SurgeData/N=1000/90-surge_c.csv rename to SurgeData/90-surge_c.csv diff --git a/SurgeData/N=1000/90-surge_w.csv b/SurgeData/90-surge_w.csv similarity index 100% rename from SurgeData/N=1000/90-surge_w.csv rename to SurgeData/90-surge_w.csv diff --git a/SurgeData/N=1000/90-time_c.csv b/SurgeData/90-time_c.csv similarity index 100% rename from SurgeData/N=1000/90-time_c.csv rename to SurgeData/90-time_c.csv diff --git a/SurgeData/N=1000/90-time_w.csv b/SurgeData/90-time_w.csv similarity index 100% rename from SurgeData/N=1000/90-time_w.csv rename to SurgeData/90-time_w.csv diff --git a/SurgeData/N=1000/90-waterlevel_c.csv b/SurgeData/90-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/90-waterlevel_c.csv rename to SurgeData/90-waterlevel_c.csv diff --git a/SurgeData/N=1000/90-waterlevel_w.csv b/SurgeData/90-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/90-waterlevel_w.csv rename to SurgeData/90-waterlevel_w.csv diff --git a/SurgeData/900-num_storm.csv b/SurgeData/900-num_storm.csv new file mode 100644 index 00000000..0f928ff7 --- /dev/null +++ b/SurgeData/900-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,3.0,9.0 +2022,1.0,7.0 +2023,0.0,9.0 +2024,1.0,1.0 +2025,2.0,6.0 +2026,2.0,1.0 +2027,2.0,4.0 +2028,3.0,8.0 +2029,1.0,8.0 +2030,1.0,2.0 +2031,0.0,9.0 +2032,4.0,3.0 +2033,2.0,6.0 +2034,2.0,5.0 +2035,1.0,7.0 +2036,1.0,12.0 +2037,0.0,2.0 +2038,0.0,3.0 +2039,0.0,7.0 +2040,3.0,3.0 +2041,1.0,3.0 +2042,4.0,4.0 +2043,3.0,5.0 +2044,0.0,1.0 +2045,0.0,2.0 +2046,1.0,4.0 +2047,1.0,2.0 +2048,1.0,2.0 +2049,0.0,2.0 +2050,1.0,3.0 +2051,1.0,3.0 +2052,3.0,3.0 +2053,1.0,5.0 +2054,1.0,4.0 +2055,1.0,2.0 +2056,0.0,3.0 +2057,2.0,4.0 +2058,2.0,3.0 +2059,0.0,6.0 +2060,0.0,6.0 +2061,1.0,3.0 +2062,1.0,3.0 +2063,1.0,4.0 +2064,3.0,5.0 +2065,0.0,1.0 +2066,0.0,0.0 +2067,1.0,3.0 +2068,2.0,5.0 +2069,1.0,3.0 +2070,0.0,2.0 +2071,2.0,6.0 +2072,2.0,2.0 +2073,1.0,2.0 +2074,1.0,5.0 +2075,2.0,5.0 +2076,1.0,8.0 +2077,2.0,3.0 +2078,1.0,3.0 +2079,3.0,6.0 +2080,1.0,7.0 +2081,1.0,2.0 +2082,2.0,5.0 +2083,1.0,1.0 +2084,1.0,3.0 +2085,1.0,7.0 +2086,0.0,0.0 +2087,0.0,4.0 +2088,0.0,5.0 +2089,1.0,3.0 +2090,0.0,6.0 +2091,2.0,3.0 +2092,2.0,5.0 +2093,1.0,2.0 +2094,3.0,5.0 +2095,0.0,3.0 +2096,4.0,6.0 +2097,1.0,0.0 +2098,2.0,3.0 +2099,0.0,2.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/900-peak+year_c.csv b/SurgeData/900-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/900-peak+year_c.csv rename to SurgeData/900-peak+year_c.csv diff --git a/SurgeData/N=1000/900-peak+year_w.csv b/SurgeData/900-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/900-peak+year_w.csv rename to SurgeData/900-peak+year_w.csv diff --git a/SurgeData/N=1000/900-peak_c.csv b/SurgeData/900-peak_c.csv similarity index 100% rename from SurgeData/N=1000/900-peak_c.csv rename to SurgeData/900-peak_c.csv diff --git a/SurgeData/N=1000/900-peak_w.csv b/SurgeData/900-peak_w.csv similarity index 100% rename from SurgeData/N=1000/900-peak_w.csv rename to SurgeData/900-peak_w.csv diff --git a/SurgeData/N=1000/900-surge_c.csv b/SurgeData/900-surge_c.csv similarity index 100% rename from SurgeData/N=1000/900-surge_c.csv rename to SurgeData/900-surge_c.csv diff --git a/SurgeData/N=1000/900-surge_w.csv b/SurgeData/900-surge_w.csv similarity index 100% rename from SurgeData/N=1000/900-surge_w.csv rename to SurgeData/900-surge_w.csv diff --git a/SurgeData/N=1000/900-time_c.csv b/SurgeData/900-time_c.csv similarity index 100% rename from SurgeData/N=1000/900-time_c.csv rename to SurgeData/900-time_c.csv diff --git a/SurgeData/N=1000/900-time_w.csv b/SurgeData/900-time_w.csv similarity index 100% rename from SurgeData/N=1000/900-time_w.csv rename to SurgeData/900-time_w.csv diff --git a/SurgeData/N=1000/900-waterlevel_c.csv b/SurgeData/900-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/900-waterlevel_c.csv rename to SurgeData/900-waterlevel_c.csv diff --git a/SurgeData/N=1000/900-waterlevel_w.csv b/SurgeData/900-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/900-waterlevel_w.csv rename to SurgeData/900-waterlevel_w.csv diff --git a/SurgeData/901-num_storm.csv b/SurgeData/901-num_storm.csv new file mode 100644 index 00000000..93a7bd20 --- /dev/null +++ b/SurgeData/901-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,7.0 +2022,3.0,3.0 +2023,3.0,4.0 +2024,1.0,5.0 +2025,1.0,0.0 +2026,1.0,4.0 +2027,1.0,3.0 +2028,0.0,1.0 +2029,0.0,3.0 +2030,2.0,4.0 +2031,1.0,3.0 +2032,1.0,2.0 +2033,1.0,8.0 +2034,2.0,2.0 +2035,2.0,4.0 +2036,0.0,3.0 +2037,0.0,4.0 +2038,2.0,2.0 +2039,0.0,5.0 +2040,0.0,3.0 +2041,2.0,7.0 +2042,1.0,1.0 +2043,1.0,3.0 +2044,3.0,4.0 +2045,1.0,5.0 +2046,0.0,5.0 +2047,4.0,5.0 +2048,1.0,4.0 +2049,0.0,5.0 +2050,1.0,3.0 +2051,2.0,3.0 +2052,1.0,4.0 +2053,3.0,4.0 +2054,0.0,2.0 +2055,1.0,7.0 +2056,2.0,3.0 +2057,0.0,6.0 +2058,1.0,7.0 +2059,2.0,1.0 +2060,2.0,4.0 +2061,5.0,3.0 +2062,3.0,5.0 +2063,1.0,4.0 +2064,1.0,1.0 +2065,0.0,5.0 +2066,2.0,3.0 +2067,0.0,6.0 +2068,0.0,3.0 +2069,0.0,3.0 +2070,0.0,2.0 +2071,2.0,7.0 +2072,5.0,6.0 +2073,1.0,4.0 +2074,0.0,10.0 +2075,1.0,6.0 +2076,0.0,6.0 +2077,0.0,3.0 +2078,2.0,4.0 +2079,1.0,2.0 +2080,3.0,8.0 +2081,3.0,1.0 +2082,3.0,6.0 +2083,0.0,4.0 +2084,1.0,4.0 +2085,3.0,3.0 +2086,0.0,7.0 +2087,2.0,3.0 +2088,0.0,3.0 +2089,0.0,6.0 +2090,1.0,2.0 +2091,1.0,3.0 +2092,3.0,4.0 +2093,1.0,4.0 +2094,2.0,3.0 +2095,1.0,2.0 +2096,1.0,3.0 +2097,1.0,1.0 +2098,4.0,6.0 +2099,2.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/901-peak+year_c.csv b/SurgeData/901-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/901-peak+year_c.csv rename to SurgeData/901-peak+year_c.csv diff --git a/SurgeData/N=1000/901-peak+year_w.csv b/SurgeData/901-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/901-peak+year_w.csv rename to SurgeData/901-peak+year_w.csv diff --git a/SurgeData/N=1000/901-peak_c.csv b/SurgeData/901-peak_c.csv similarity index 100% rename from SurgeData/N=1000/901-peak_c.csv rename to SurgeData/901-peak_c.csv diff --git a/SurgeData/N=1000/901-peak_w.csv b/SurgeData/901-peak_w.csv similarity index 100% rename from SurgeData/N=1000/901-peak_w.csv rename to SurgeData/901-peak_w.csv diff --git a/SurgeData/N=1000/901-surge_c.csv b/SurgeData/901-surge_c.csv similarity index 100% rename from SurgeData/N=1000/901-surge_c.csv rename to SurgeData/901-surge_c.csv diff --git a/SurgeData/N=1000/901-surge_w.csv b/SurgeData/901-surge_w.csv similarity index 100% rename from SurgeData/N=1000/901-surge_w.csv rename to SurgeData/901-surge_w.csv diff --git a/SurgeData/N=1000/901-time_c.csv b/SurgeData/901-time_c.csv similarity index 100% rename from SurgeData/N=1000/901-time_c.csv rename to SurgeData/901-time_c.csv diff --git a/SurgeData/N=1000/901-time_w.csv b/SurgeData/901-time_w.csv similarity index 100% rename from SurgeData/N=1000/901-time_w.csv rename to SurgeData/901-time_w.csv diff --git a/SurgeData/N=1000/901-waterlevel_c.csv b/SurgeData/901-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/901-waterlevel_c.csv rename to SurgeData/901-waterlevel_c.csv diff --git a/SurgeData/N=1000/901-waterlevel_w.csv b/SurgeData/901-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/901-waterlevel_w.csv rename to SurgeData/901-waterlevel_w.csv diff --git a/SurgeData/N=1000/902-peak+year_c.csv b/SurgeData/902-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/902-peak+year_c.csv rename to SurgeData/902-peak+year_c.csv diff --git a/SurgeData/N=1000/902-peak+year_w.csv b/SurgeData/902-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/902-peak+year_w.csv rename to SurgeData/902-peak+year_w.csv diff --git a/SurgeData/N=1000/902-peak_c.csv b/SurgeData/902-peak_c.csv similarity index 100% rename from SurgeData/N=1000/902-peak_c.csv rename to SurgeData/902-peak_c.csv diff --git a/SurgeData/N=1000/902-peak_w.csv b/SurgeData/902-peak_w.csv similarity index 100% rename from SurgeData/N=1000/902-peak_w.csv rename to SurgeData/902-peak_w.csv diff --git a/SurgeData/N=1000/902-surge_c.csv b/SurgeData/902-surge_c.csv similarity index 100% rename from SurgeData/N=1000/902-surge_c.csv rename to SurgeData/902-surge_c.csv diff --git a/SurgeData/N=1000/902-surge_w.csv b/SurgeData/902-surge_w.csv similarity index 100% rename from SurgeData/N=1000/902-surge_w.csv rename to SurgeData/902-surge_w.csv diff --git a/SurgeData/N=1000/902-time_c.csv b/SurgeData/902-time_c.csv similarity index 100% rename from SurgeData/N=1000/902-time_c.csv rename to SurgeData/902-time_c.csv diff --git a/SurgeData/N=1000/902-time_w.csv b/SurgeData/902-time_w.csv similarity index 100% rename from SurgeData/N=1000/902-time_w.csv rename to SurgeData/902-time_w.csv diff --git a/SurgeData/N=1000/902-waterlevel_c.csv b/SurgeData/902-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/902-waterlevel_c.csv rename to SurgeData/902-waterlevel_c.csv diff --git a/SurgeData/N=1000/902-waterlevel_w.csv b/SurgeData/902-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/902-waterlevel_w.csv rename to SurgeData/902-waterlevel_w.csv diff --git a/SurgeData/N=1000/903-peak+year_c.csv b/SurgeData/903-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/903-peak+year_c.csv rename to SurgeData/903-peak+year_c.csv diff --git a/SurgeData/N=1000/903-peak+year_w.csv b/SurgeData/903-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/903-peak+year_w.csv rename to SurgeData/903-peak+year_w.csv diff --git a/SurgeData/N=1000/903-peak_c.csv b/SurgeData/903-peak_c.csv similarity index 100% rename from SurgeData/N=1000/903-peak_c.csv rename to SurgeData/903-peak_c.csv diff --git a/SurgeData/N=1000/903-peak_w.csv b/SurgeData/903-peak_w.csv similarity index 100% rename from SurgeData/N=1000/903-peak_w.csv rename to SurgeData/903-peak_w.csv diff --git a/SurgeData/N=1000/903-surge_c.csv b/SurgeData/903-surge_c.csv similarity index 100% rename from SurgeData/N=1000/903-surge_c.csv rename to SurgeData/903-surge_c.csv diff --git a/SurgeData/N=1000/903-surge_w.csv b/SurgeData/903-surge_w.csv similarity index 100% rename from SurgeData/N=1000/903-surge_w.csv rename to SurgeData/903-surge_w.csv diff --git a/SurgeData/N=1000/903-time_c.csv b/SurgeData/903-time_c.csv similarity index 100% rename from SurgeData/N=1000/903-time_c.csv rename to SurgeData/903-time_c.csv diff --git a/SurgeData/N=1000/903-time_w.csv b/SurgeData/903-time_w.csv similarity index 100% rename from SurgeData/N=1000/903-time_w.csv rename to SurgeData/903-time_w.csv diff --git a/SurgeData/N=1000/903-waterlevel_c.csv b/SurgeData/903-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/903-waterlevel_c.csv rename to SurgeData/903-waterlevel_c.csv diff --git a/SurgeData/N=1000/903-waterlevel_w.csv b/SurgeData/903-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/903-waterlevel_w.csv rename to SurgeData/903-waterlevel_w.csv diff --git a/SurgeData/904-num_storm.csv b/SurgeData/904-num_storm.csv new file mode 100644 index 00000000..0e8f0b4e --- /dev/null +++ b/SurgeData/904-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,9.0 +2022,1.0,2.0 +2023,2.0,6.0 +2024,0.0,2.0 +2025,1.0,6.0 +2026,0.0,5.0 +2027,1.0,5.0 +2028,2.0,4.0 +2029,1.0,4.0 +2030,2.0,5.0 +2031,2.0,5.0 +2032,4.0,6.0 +2033,2.0,2.0 +2034,0.0,3.0 +2035,0.0,3.0 +2036,1.0,5.0 +2037,0.0,5.0 +2038,3.0,4.0 +2039,0.0,2.0 +2040,1.0,3.0 +2041,1.0,5.0 +2042,3.0,3.0 +2043,1.0,2.0 +2044,0.0,6.0 +2045,3.0,3.0 +2046,2.0,5.0 +2047,1.0,5.0 +2048,2.0,9.0 +2049,1.0,4.0 +2050,2.0,3.0 +2051,0.0,7.0 +2052,2.0,5.0 +2053,3.0,3.0 +2054,0.0,3.0 +2055,4.0,4.0 +2056,1.0,2.0 +2057,3.0,3.0 +2058,1.0,5.0 +2059,2.0,2.0 +2060,3.0,6.0 +2061,2.0,4.0 +2062,2.0,5.0 +2063,0.0,4.0 +2064,1.0,5.0 +2065,1.0,4.0 +2066,1.0,5.0 +2067,0.0,4.0 +2068,0.0,5.0 +2069,1.0,3.0 +2070,0.0,1.0 +2071,1.0,4.0 +2072,4.0,3.0 +2073,2.0,5.0 +2074,1.0,6.0 +2075,0.0,4.0 +2076,1.0,2.0 +2077,2.0,1.0 +2078,2.0,4.0 +2079,0.0,4.0 +2080,1.0,5.0 +2081,0.0,10.0 +2082,1.0,8.0 +2083,3.0,2.0 +2084,1.0,3.0 +2085,1.0,4.0 +2086,4.0,4.0 +2087,0.0,0.0 +2088,3.0,5.0 +2089,2.0,4.0 +2090,1.0,2.0 +2091,2.0,4.0 +2092,1.0,9.0 +2093,2.0,2.0 +2094,0.0,6.0 +2095,0.0,1.0 +2096,2.0,5.0 +2097,2.0,8.0 +2098,3.0,4.0 +2099,1.0,3.0 +2100,1.0,6.0 diff --git a/SurgeData/N=1000/904-peak+year_c.csv b/SurgeData/904-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/904-peak+year_c.csv rename to SurgeData/904-peak+year_c.csv diff --git a/SurgeData/N=1000/904-peak+year_w.csv b/SurgeData/904-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/904-peak+year_w.csv rename to SurgeData/904-peak+year_w.csv diff --git a/SurgeData/N=1000/904-peak_c.csv b/SurgeData/904-peak_c.csv similarity index 100% rename from SurgeData/N=1000/904-peak_c.csv rename to SurgeData/904-peak_c.csv diff --git a/SurgeData/N=1000/904-peak_w.csv b/SurgeData/904-peak_w.csv similarity index 100% rename from SurgeData/N=1000/904-peak_w.csv rename to SurgeData/904-peak_w.csv diff --git a/SurgeData/N=1000/904-surge_c.csv b/SurgeData/904-surge_c.csv similarity index 100% rename from SurgeData/N=1000/904-surge_c.csv rename to SurgeData/904-surge_c.csv diff --git a/SurgeData/N=1000/904-surge_w.csv b/SurgeData/904-surge_w.csv similarity index 100% rename from SurgeData/N=1000/904-surge_w.csv rename to SurgeData/904-surge_w.csv diff --git a/SurgeData/N=1000/904-time_c.csv b/SurgeData/904-time_c.csv similarity index 100% rename from SurgeData/N=1000/904-time_c.csv rename to SurgeData/904-time_c.csv diff --git a/SurgeData/N=1000/904-time_w.csv b/SurgeData/904-time_w.csv similarity index 100% rename from SurgeData/N=1000/904-time_w.csv rename to SurgeData/904-time_w.csv diff --git a/SurgeData/N=1000/904-waterlevel_c.csv b/SurgeData/904-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/904-waterlevel_c.csv rename to SurgeData/904-waterlevel_c.csv diff --git a/SurgeData/N=1000/904-waterlevel_w.csv b/SurgeData/904-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/904-waterlevel_w.csv rename to SurgeData/904-waterlevel_w.csv diff --git a/SurgeData/905-num_storm.csv b/SurgeData/905-num_storm.csv new file mode 100644 index 00000000..f5bdbb23 --- /dev/null +++ b/SurgeData/905-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,2.0,4.0 +2022,0.0,0.0 +2023,3.0,6.0 +2024,0.0,3.0 +2025,4.0,8.0 +2026,6.0,5.0 +2027,1.0,3.0 +2028,0.0,2.0 +2029,1.0,2.0 +2030,2.0,8.0 +2031,0.0,4.0 +2032,2.0,4.0 +2033,3.0,4.0 +2034,2.0,5.0 +2035,0.0,3.0 +2036,1.0,5.0 +2037,0.0,4.0 +2038,4.0,3.0 +2039,2.0,8.0 +2040,1.0,4.0 +2041,0.0,0.0 +2042,0.0,6.0 +2043,2.0,7.0 +2044,1.0,2.0 +2045,1.0,2.0 +2046,1.0,1.0 +2047,1.0,5.0 +2048,0.0,1.0 +2049,0.0,4.0 +2050,3.0,5.0 +2051,4.0,5.0 +2052,1.0,6.0 +2053,2.0,2.0 +2054,2.0,5.0 +2055,0.0,4.0 +2056,1.0,3.0 +2057,0.0,5.0 +2058,3.0,7.0 +2059,2.0,8.0 +2060,2.0,2.0 +2061,1.0,5.0 +2062,1.0,9.0 +2063,0.0,1.0 +2064,3.0,8.0 +2065,0.0,4.0 +2066,0.0,3.0 +2067,2.0,3.0 +2068,0.0,2.0 +2069,1.0,3.0 +2070,0.0,6.0 +2071,0.0,3.0 +2072,2.0,5.0 +2073,0.0,2.0 +2074,2.0,9.0 +2075,3.0,3.0 +2076,1.0,2.0 +2077,0.0,3.0 +2078,1.0,8.0 +2079,2.0,6.0 +2080,3.0,7.0 +2081,4.0,3.0 +2082,3.0,5.0 +2083,4.0,5.0 +2084,4.0,2.0 +2085,0.0,5.0 +2086,0.0,1.0 +2087,1.0,3.0 +2088,2.0,5.0 +2089,2.0,4.0 +2090,0.0,4.0 +2091,0.0,3.0 +2092,3.0,2.0 +2093,1.0,4.0 +2094,3.0,7.0 +2095,0.0,6.0 +2096,1.0,4.0 +2097,0.0,3.0 +2098,3.0,2.0 +2099,2.0,8.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/905-peak+year_c.csv b/SurgeData/905-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/905-peak+year_c.csv rename to SurgeData/905-peak+year_c.csv diff --git a/SurgeData/N=1000/905-peak+year_w.csv b/SurgeData/905-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/905-peak+year_w.csv rename to SurgeData/905-peak+year_w.csv diff --git a/SurgeData/N=1000/905-peak_c.csv b/SurgeData/905-peak_c.csv similarity index 100% rename from SurgeData/N=1000/905-peak_c.csv rename to SurgeData/905-peak_c.csv diff --git a/SurgeData/N=1000/905-peak_w.csv b/SurgeData/905-peak_w.csv similarity index 100% rename from SurgeData/N=1000/905-peak_w.csv rename to SurgeData/905-peak_w.csv diff --git a/SurgeData/N=1000/905-surge_c.csv b/SurgeData/905-surge_c.csv similarity index 100% rename from SurgeData/N=1000/905-surge_c.csv rename to SurgeData/905-surge_c.csv diff --git a/SurgeData/N=1000/905-surge_w.csv b/SurgeData/905-surge_w.csv similarity index 100% rename from SurgeData/N=1000/905-surge_w.csv rename to SurgeData/905-surge_w.csv diff --git a/SurgeData/N=1000/905-time_c.csv b/SurgeData/905-time_c.csv similarity index 100% rename from SurgeData/N=1000/905-time_c.csv rename to SurgeData/905-time_c.csv diff --git a/SurgeData/N=1000/905-time_w.csv b/SurgeData/905-time_w.csv similarity index 100% rename from SurgeData/N=1000/905-time_w.csv rename to SurgeData/905-time_w.csv diff --git a/SurgeData/N=1000/905-waterlevel_c.csv b/SurgeData/905-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/905-waterlevel_c.csv rename to SurgeData/905-waterlevel_c.csv diff --git a/SurgeData/N=1000/905-waterlevel_w.csv b/SurgeData/905-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/905-waterlevel_w.csv rename to SurgeData/905-waterlevel_w.csv diff --git a/SurgeData/906-num_storm.csv b/SurgeData/906-num_storm.csv new file mode 100644 index 00000000..ac221bb7 --- /dev/null +++ b/SurgeData/906-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,6.0 +2021,0.0,5.0 +2022,0.0,6.0 +2023,3.0,10.0 +2024,3.0,4.0 +2025,4.0,3.0 +2026,2.0,1.0 +2027,1.0,3.0 +2028,2.0,4.0 +2029,2.0,3.0 +2030,3.0,6.0 +2031,0.0,3.0 +2032,1.0,2.0 +2033,2.0,3.0 +2034,2.0,1.0 +2035,6.0,3.0 +2036,1.0,3.0 +2037,2.0,1.0 +2038,1.0,2.0 +2039,1.0,4.0 +2040,2.0,3.0 +2041,0.0,2.0 +2042,4.0,8.0 +2043,5.0,3.0 +2044,1.0,4.0 +2045,4.0,4.0 +2046,1.0,2.0 +2047,1.0,2.0 +2048,1.0,0.0 +2049,4.0,2.0 +2050,1.0,1.0 +2051,1.0,3.0 +2052,2.0,3.0 +2053,1.0,4.0 +2054,2.0,3.0 +2055,1.0,3.0 +2056,1.0,6.0 +2057,0.0,4.0 +2058,3.0,4.0 +2059,0.0,3.0 +2060,2.0,1.0 +2061,1.0,3.0 +2062,1.0,5.0 +2063,3.0,0.0 +2064,4.0,6.0 +2065,2.0,4.0 +2066,1.0,3.0 +2067,0.0,2.0 +2068,1.0,5.0 +2069,0.0,6.0 +2070,0.0,7.0 +2071,2.0,5.0 +2072,1.0,3.0 +2073,3.0,5.0 +2074,1.0,4.0 +2075,0.0,2.0 +2076,3.0,8.0 +2077,2.0,6.0 +2078,0.0,6.0 +2079,2.0,6.0 +2080,3.0,2.0 +2081,0.0,7.0 +2082,1.0,4.0 +2083,2.0,8.0 +2084,0.0,5.0 +2085,0.0,4.0 +2086,1.0,7.0 +2087,2.0,4.0 +2088,3.0,1.0 +2089,2.0,1.0 +2090,1.0,3.0 +2091,0.0,3.0 +2092,5.0,5.0 +2093,2.0,2.0 +2094,1.0,6.0 +2095,1.0,7.0 +2096,0.0,3.0 +2097,1.0,5.0 +2098,1.0,4.0 +2099,0.0,5.0 +2100,2.0,6.0 diff --git a/SurgeData/N=1000/906-peak+year_c.csv b/SurgeData/906-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/906-peak+year_c.csv rename to SurgeData/906-peak+year_c.csv diff --git a/SurgeData/N=1000/906-peak+year_w.csv b/SurgeData/906-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/906-peak+year_w.csv rename to SurgeData/906-peak+year_w.csv diff --git a/SurgeData/N=1000/906-peak_c.csv b/SurgeData/906-peak_c.csv similarity index 100% rename from SurgeData/N=1000/906-peak_c.csv rename to SurgeData/906-peak_c.csv diff --git a/SurgeData/N=1000/906-peak_w.csv b/SurgeData/906-peak_w.csv similarity index 100% rename from SurgeData/N=1000/906-peak_w.csv rename to SurgeData/906-peak_w.csv diff --git a/SurgeData/N=1000/906-surge_c.csv b/SurgeData/906-surge_c.csv similarity index 100% rename from SurgeData/N=1000/906-surge_c.csv rename to SurgeData/906-surge_c.csv diff --git a/SurgeData/N=1000/906-surge_w.csv b/SurgeData/906-surge_w.csv similarity index 100% rename from SurgeData/N=1000/906-surge_w.csv rename to SurgeData/906-surge_w.csv diff --git a/SurgeData/N=1000/906-time_c.csv b/SurgeData/906-time_c.csv similarity index 100% rename from SurgeData/N=1000/906-time_c.csv rename to SurgeData/906-time_c.csv diff --git a/SurgeData/N=1000/906-time_w.csv b/SurgeData/906-time_w.csv similarity index 100% rename from SurgeData/N=1000/906-time_w.csv rename to SurgeData/906-time_w.csv diff --git a/SurgeData/N=1000/906-waterlevel_c.csv b/SurgeData/906-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/906-waterlevel_c.csv rename to SurgeData/906-waterlevel_c.csv diff --git a/SurgeData/N=1000/906-waterlevel_w.csv b/SurgeData/906-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/906-waterlevel_w.csv rename to SurgeData/906-waterlevel_w.csv diff --git a/SurgeData/N=1000/907-peak+year_c.csv b/SurgeData/907-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/907-peak+year_c.csv rename to SurgeData/907-peak+year_c.csv diff --git a/SurgeData/N=1000/907-peak+year_w.csv b/SurgeData/907-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/907-peak+year_w.csv rename to SurgeData/907-peak+year_w.csv diff --git a/SurgeData/N=1000/907-peak_c.csv b/SurgeData/907-peak_c.csv similarity index 100% rename from SurgeData/N=1000/907-peak_c.csv rename to SurgeData/907-peak_c.csv diff --git a/SurgeData/N=1000/907-peak_w.csv b/SurgeData/907-peak_w.csv similarity index 100% rename from SurgeData/N=1000/907-peak_w.csv rename to SurgeData/907-peak_w.csv diff --git a/SurgeData/N=1000/907-surge_c.csv b/SurgeData/907-surge_c.csv similarity index 100% rename from SurgeData/N=1000/907-surge_c.csv rename to SurgeData/907-surge_c.csv diff --git a/SurgeData/N=1000/907-surge_w.csv b/SurgeData/907-surge_w.csv similarity index 100% rename from SurgeData/N=1000/907-surge_w.csv rename to SurgeData/907-surge_w.csv diff --git a/SurgeData/N=1000/907-time_c.csv b/SurgeData/907-time_c.csv similarity index 100% rename from SurgeData/N=1000/907-time_c.csv rename to SurgeData/907-time_c.csv diff --git a/SurgeData/N=1000/907-time_w.csv b/SurgeData/907-time_w.csv similarity index 100% rename from SurgeData/N=1000/907-time_w.csv rename to SurgeData/907-time_w.csv diff --git a/SurgeData/N=1000/907-waterlevel_c.csv b/SurgeData/907-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/907-waterlevel_c.csv rename to SurgeData/907-waterlevel_c.csv diff --git a/SurgeData/N=1000/907-waterlevel_w.csv b/SurgeData/907-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/907-waterlevel_w.csv rename to SurgeData/907-waterlevel_w.csv diff --git a/SurgeData/908-num_storm.csv b/SurgeData/908-num_storm.csv new file mode 100644 index 00000000..e2d6a91a --- /dev/null +++ b/SurgeData/908-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,6.0 +2022,1.0,4.0 +2023,1.0,3.0 +2024,0.0,8.0 +2025,2.0,2.0 +2026,3.0,2.0 +2027,5.0,4.0 +2028,2.0,4.0 +2029,5.0,5.0 +2030,1.0,1.0 +2031,0.0,1.0 +2032,2.0,4.0 +2033,1.0,3.0 +2034,0.0,7.0 +2035,2.0,7.0 +2036,1.0,4.0 +2037,2.0,3.0 +2038,0.0,9.0 +2039,2.0,8.0 +2040,0.0,7.0 +2041,3.0,7.0 +2042,1.0,0.0 +2043,3.0,4.0 +2044,3.0,6.0 +2045,1.0,1.0 +2046,2.0,1.0 +2047,0.0,5.0 +2048,1.0,1.0 +2049,4.0,8.0 +2050,0.0,4.0 +2051,3.0,5.0 +2052,0.0,9.0 +2053,1.0,7.0 +2054,1.0,7.0 +2055,3.0,2.0 +2056,1.0,3.0 +2057,2.0,3.0 +2058,1.0,7.0 +2059,3.0,5.0 +2060,3.0,2.0 +2061,4.0,1.0 +2062,4.0,2.0 +2063,2.0,7.0 +2064,2.0,2.0 +2065,1.0,3.0 +2066,0.0,8.0 +2067,0.0,7.0 +2068,3.0,4.0 +2069,1.0,3.0 +2070,1.0,6.0 +2071,3.0,3.0 +2072,1.0,7.0 +2073,0.0,2.0 +2074,1.0,3.0 +2075,1.0,7.0 +2076,2.0,8.0 +2077,0.0,6.0 +2078,0.0,5.0 +2079,1.0,5.0 +2080,0.0,4.0 +2081,1.0,2.0 +2082,0.0,5.0 +2083,1.0,1.0 +2084,4.0,3.0 +2085,0.0,10.0 +2086,1.0,2.0 +2087,1.0,5.0 +2088,2.0,5.0 +2089,3.0,4.0 +2090,2.0,2.0 +2091,2.0,5.0 +2092,0.0,6.0 +2093,1.0,9.0 +2094,1.0,3.0 +2095,2.0,3.0 +2096,0.0,3.0 +2097,0.0,1.0 +2098,2.0,5.0 +2099,0.0,2.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/908-peak+year_c.csv b/SurgeData/908-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/908-peak+year_c.csv rename to SurgeData/908-peak+year_c.csv diff --git a/SurgeData/N=1000/908-peak+year_w.csv b/SurgeData/908-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/908-peak+year_w.csv rename to SurgeData/908-peak+year_w.csv diff --git a/SurgeData/N=1000/908-peak_c.csv b/SurgeData/908-peak_c.csv similarity index 100% rename from SurgeData/N=1000/908-peak_c.csv rename to SurgeData/908-peak_c.csv diff --git a/SurgeData/N=1000/908-peak_w.csv b/SurgeData/908-peak_w.csv similarity index 100% rename from SurgeData/N=1000/908-peak_w.csv rename to SurgeData/908-peak_w.csv diff --git a/SurgeData/N=1000/908-surge_c.csv b/SurgeData/908-surge_c.csv similarity index 100% rename from SurgeData/N=1000/908-surge_c.csv rename to SurgeData/908-surge_c.csv diff --git a/SurgeData/N=1000/908-surge_w.csv b/SurgeData/908-surge_w.csv similarity index 100% rename from SurgeData/N=1000/908-surge_w.csv rename to SurgeData/908-surge_w.csv diff --git a/SurgeData/N=1000/908-time_c.csv b/SurgeData/908-time_c.csv similarity index 100% rename from SurgeData/N=1000/908-time_c.csv rename to SurgeData/908-time_c.csv diff --git a/SurgeData/N=1000/908-time_w.csv b/SurgeData/908-time_w.csv similarity index 100% rename from SurgeData/N=1000/908-time_w.csv rename to SurgeData/908-time_w.csv diff --git a/SurgeData/N=1000/908-waterlevel_c.csv b/SurgeData/908-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/908-waterlevel_c.csv rename to SurgeData/908-waterlevel_c.csv diff --git a/SurgeData/N=1000/908-waterlevel_w.csv b/SurgeData/908-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/908-waterlevel_w.csv rename to SurgeData/908-waterlevel_w.csv diff --git a/SurgeData/909-num_storm.csv b/SurgeData/909-num_storm.csv new file mode 100644 index 00000000..9203b18e --- /dev/null +++ b/SurgeData/909-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,3.0 +2022,3.0,2.0 +2023,1.0,6.0 +2024,3.0,5.0 +2025,1.0,2.0 +2026,0.0,3.0 +2027,3.0,3.0 +2028,1.0,3.0 +2029,2.0,3.0 +2030,1.0,3.0 +2031,0.0,4.0 +2032,0.0,7.0 +2033,3.0,6.0 +2034,3.0,4.0 +2035,2.0,3.0 +2036,1.0,2.0 +2037,1.0,1.0 +2038,2.0,9.0 +2039,1.0,4.0 +2040,0.0,7.0 +2041,2.0,6.0 +2042,0.0,6.0 +2043,1.0,6.0 +2044,2.0,3.0 +2045,5.0,2.0 +2046,0.0,7.0 +2047,0.0,4.0 +2048,0.0,5.0 +2049,0.0,7.0 +2050,1.0,8.0 +2051,0.0,5.0 +2052,1.0,5.0 +2053,0.0,6.0 +2054,3.0,4.0 +2055,3.0,6.0 +2056,1.0,5.0 +2057,0.0,4.0 +2058,0.0,4.0 +2059,0.0,4.0 +2060,1.0,5.0 +2061,2.0,7.0 +2062,3.0,1.0 +2063,1.0,5.0 +2064,2.0,5.0 +2065,1.0,2.0 +2066,1.0,5.0 +2067,0.0,2.0 +2068,1.0,2.0 +2069,1.0,6.0 +2070,1.0,2.0 +2071,1.0,6.0 +2072,1.0,3.0 +2073,1.0,6.0 +2074,1.0,7.0 +2075,1.0,5.0 +2076,0.0,2.0 +2077,2.0,6.0 +2078,1.0,5.0 +2079,1.0,11.0 +2080,1.0,3.0 +2081,2.0,4.0 +2082,1.0,2.0 +2083,2.0,2.0 +2084,2.0,6.0 +2085,2.0,1.0 +2086,2.0,5.0 +2087,0.0,4.0 +2088,2.0,3.0 +2089,2.0,5.0 +2090,2.0,7.0 +2091,1.0,1.0 +2092,0.0,5.0 +2093,1.0,6.0 +2094,1.0,5.0 +2095,1.0,0.0 +2096,2.0,2.0 +2097,1.0,2.0 +2098,2.0,3.0 +2099,1.0,2.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/909-peak+year_c.csv b/SurgeData/909-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/909-peak+year_c.csv rename to SurgeData/909-peak+year_c.csv diff --git a/SurgeData/N=1000/909-peak+year_w.csv b/SurgeData/909-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/909-peak+year_w.csv rename to SurgeData/909-peak+year_w.csv diff --git a/SurgeData/N=1000/909-peak_c.csv b/SurgeData/909-peak_c.csv similarity index 100% rename from SurgeData/N=1000/909-peak_c.csv rename to SurgeData/909-peak_c.csv diff --git a/SurgeData/N=1000/909-peak_w.csv b/SurgeData/909-peak_w.csv similarity index 100% rename from SurgeData/N=1000/909-peak_w.csv rename to SurgeData/909-peak_w.csv diff --git a/SurgeData/N=1000/909-surge_c.csv b/SurgeData/909-surge_c.csv similarity index 100% rename from SurgeData/N=1000/909-surge_c.csv rename to SurgeData/909-surge_c.csv diff --git a/SurgeData/N=1000/909-surge_w.csv b/SurgeData/909-surge_w.csv similarity index 100% rename from SurgeData/N=1000/909-surge_w.csv rename to SurgeData/909-surge_w.csv diff --git a/SurgeData/N=1000/909-time_c.csv b/SurgeData/909-time_c.csv similarity index 100% rename from SurgeData/N=1000/909-time_c.csv rename to SurgeData/909-time_c.csv diff --git a/SurgeData/N=1000/909-time_w.csv b/SurgeData/909-time_w.csv similarity index 100% rename from SurgeData/N=1000/909-time_w.csv rename to SurgeData/909-time_w.csv diff --git a/SurgeData/N=1000/909-waterlevel_c.csv b/SurgeData/909-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/909-waterlevel_c.csv rename to SurgeData/909-waterlevel_c.csv diff --git a/SurgeData/N=1000/909-waterlevel_w.csv b/SurgeData/909-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/909-waterlevel_w.csv rename to SurgeData/909-waterlevel_w.csv diff --git a/SurgeData/N=1000/91-peak+year_c.csv b/SurgeData/91-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/91-peak+year_c.csv rename to SurgeData/91-peak+year_c.csv diff --git a/SurgeData/N=1000/91-peak+year_w.csv b/SurgeData/91-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/91-peak+year_w.csv rename to SurgeData/91-peak+year_w.csv diff --git a/SurgeData/N=1000/91-peak_c.csv b/SurgeData/91-peak_c.csv similarity index 100% rename from SurgeData/N=1000/91-peak_c.csv rename to SurgeData/91-peak_c.csv diff --git a/SurgeData/N=1000/91-peak_w.csv b/SurgeData/91-peak_w.csv similarity index 100% rename from SurgeData/N=1000/91-peak_w.csv rename to SurgeData/91-peak_w.csv diff --git a/SurgeData/N=1000/91-surge_c.csv b/SurgeData/91-surge_c.csv similarity index 100% rename from SurgeData/N=1000/91-surge_c.csv rename to SurgeData/91-surge_c.csv diff --git a/SurgeData/N=1000/91-surge_w.csv b/SurgeData/91-surge_w.csv similarity index 100% rename from SurgeData/N=1000/91-surge_w.csv rename to SurgeData/91-surge_w.csv diff --git a/SurgeData/N=1000/91-time_c.csv b/SurgeData/91-time_c.csv similarity index 100% rename from SurgeData/N=1000/91-time_c.csv rename to SurgeData/91-time_c.csv diff --git a/SurgeData/N=1000/91-time_w.csv b/SurgeData/91-time_w.csv similarity index 100% rename from SurgeData/N=1000/91-time_w.csv rename to SurgeData/91-time_w.csv diff --git a/SurgeData/N=1000/91-waterlevel_c.csv b/SurgeData/91-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/91-waterlevel_c.csv rename to SurgeData/91-waterlevel_c.csv diff --git a/SurgeData/N=1000/91-waterlevel_w.csv b/SurgeData/91-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/91-waterlevel_w.csv rename to SurgeData/91-waterlevel_w.csv diff --git a/SurgeData/910-num_storm.csv b/SurgeData/910-num_storm.csv new file mode 100644 index 00000000..1d1332de --- /dev/null +++ b/SurgeData/910-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,2.0 +2022,0.0,4.0 +2023,2.0,6.0 +2024,1.0,3.0 +2025,0.0,7.0 +2026,1.0,5.0 +2027,1.0,9.0 +2028,2.0,5.0 +2029,2.0,8.0 +2030,0.0,7.0 +2031,3.0,6.0 +2032,1.0,1.0 +2033,4.0,4.0 +2034,1.0,2.0 +2035,0.0,3.0 +2036,3.0,5.0 +2037,0.0,2.0 +2038,0.0,1.0 +2039,2.0,3.0 +2040,0.0,3.0 +2041,1.0,4.0 +2042,3.0,2.0 +2043,0.0,5.0 +2044,1.0,5.0 +2045,1.0,4.0 +2046,0.0,6.0 +2047,0.0,6.0 +2048,0.0,5.0 +2049,2.0,4.0 +2050,1.0,3.0 +2051,1.0,2.0 +2052,1.0,5.0 +2053,0.0,4.0 +2054,2.0,7.0 +2055,0.0,5.0 +2056,2.0,11.0 +2057,1.0,1.0 +2058,0.0,8.0 +2059,1.0,1.0 +2060,0.0,6.0 +2061,1.0,6.0 +2062,1.0,5.0 +2063,0.0,4.0 +2064,1.0,3.0 +2065,4.0,6.0 +2066,1.0,4.0 +2067,2.0,4.0 +2068,0.0,4.0 +2069,2.0,3.0 +2070,0.0,5.0 +2071,0.0,4.0 +2072,0.0,6.0 +2073,2.0,5.0 +2074,0.0,1.0 +2075,0.0,5.0 +2076,4.0,5.0 +2077,3.0,4.0 +2078,0.0,3.0 +2079,3.0,3.0 +2080,0.0,1.0 +2081,4.0,4.0 +2082,1.0,8.0 +2083,2.0,5.0 +2084,3.0,7.0 +2085,1.0,3.0 +2086,1.0,5.0 +2087,3.0,4.0 +2088,0.0,4.0 +2089,1.0,2.0 +2090,0.0,8.0 +2091,0.0,1.0 +2092,2.0,2.0 +2093,0.0,7.0 +2094,1.0,5.0 +2095,1.0,4.0 +2096,1.0,3.0 +2097,3.0,5.0 +2098,1.0,2.0 +2099,1.0,7.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/910-peak+year_c.csv b/SurgeData/910-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/910-peak+year_c.csv rename to SurgeData/910-peak+year_c.csv diff --git a/SurgeData/N=1000/910-peak+year_w.csv b/SurgeData/910-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/910-peak+year_w.csv rename to SurgeData/910-peak+year_w.csv diff --git a/SurgeData/N=1000/910-peak_c.csv b/SurgeData/910-peak_c.csv similarity index 100% rename from SurgeData/N=1000/910-peak_c.csv rename to SurgeData/910-peak_c.csv diff --git a/SurgeData/N=1000/910-peak_w.csv b/SurgeData/910-peak_w.csv similarity index 100% rename from SurgeData/N=1000/910-peak_w.csv rename to SurgeData/910-peak_w.csv diff --git a/SurgeData/N=1000/910-surge_c.csv b/SurgeData/910-surge_c.csv similarity index 100% rename from SurgeData/N=1000/910-surge_c.csv rename to SurgeData/910-surge_c.csv diff --git a/SurgeData/N=1000/910-surge_w.csv b/SurgeData/910-surge_w.csv similarity index 100% rename from SurgeData/N=1000/910-surge_w.csv rename to SurgeData/910-surge_w.csv diff --git a/SurgeData/N=1000/910-time_c.csv b/SurgeData/910-time_c.csv similarity index 100% rename from SurgeData/N=1000/910-time_c.csv rename to SurgeData/910-time_c.csv diff --git a/SurgeData/N=1000/910-time_w.csv b/SurgeData/910-time_w.csv similarity index 100% rename from SurgeData/N=1000/910-time_w.csv rename to SurgeData/910-time_w.csv diff --git a/SurgeData/N=1000/910-waterlevel_c.csv b/SurgeData/910-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/910-waterlevel_c.csv rename to SurgeData/910-waterlevel_c.csv diff --git a/SurgeData/N=1000/910-waterlevel_w.csv b/SurgeData/910-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/910-waterlevel_w.csv rename to SurgeData/910-waterlevel_w.csv diff --git a/SurgeData/911-num_storm.csv b/SurgeData/911-num_storm.csv new file mode 100644 index 00000000..cc09e6e9 --- /dev/null +++ b/SurgeData/911-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,5.0 +2022,0.0,2.0 +2023,0.0,8.0 +2024,0.0,3.0 +2025,0.0,4.0 +2026,3.0,8.0 +2027,2.0,2.0 +2028,1.0,5.0 +2029,1.0,5.0 +2030,1.0,1.0 +2031,2.0,3.0 +2032,3.0,3.0 +2033,1.0,1.0 +2034,0.0,2.0 +2035,1.0,6.0 +2036,1.0,1.0 +2037,5.0,3.0 +2038,2.0,4.0 +2039,0.0,5.0 +2040,1.0,8.0 +2041,1.0,2.0 +2042,2.0,1.0 +2043,1.0,5.0 +2044,5.0,6.0 +2045,1.0,4.0 +2046,3.0,4.0 +2047,1.0,4.0 +2048,0.0,5.0 +2049,2.0,6.0 +2050,2.0,5.0 +2051,5.0,3.0 +2052,1.0,4.0 +2053,1.0,3.0 +2054,1.0,4.0 +2055,1.0,4.0 +2056,0.0,3.0 +2057,1.0,2.0 +2058,0.0,5.0 +2059,3.0,7.0 +2060,1.0,1.0 +2061,0.0,4.0 +2062,1.0,0.0 +2063,1.0,2.0 +2064,2.0,7.0 +2065,0.0,3.0 +2066,1.0,2.0 +2067,0.0,5.0 +2068,1.0,4.0 +2069,3.0,0.0 +2070,0.0,1.0 +2071,3.0,7.0 +2072,1.0,5.0 +2073,4.0,8.0 +2074,0.0,2.0 +2075,0.0,2.0 +2076,2.0,4.0 +2077,0.0,4.0 +2078,1.0,2.0 +2079,2.0,3.0 +2080,1.0,3.0 +2081,0.0,5.0 +2082,2.0,4.0 +2083,0.0,7.0 +2084,2.0,7.0 +2085,1.0,4.0 +2086,3.0,4.0 +2087,1.0,4.0 +2088,4.0,3.0 +2089,1.0,3.0 +2090,4.0,3.0 +2091,0.0,5.0 +2092,1.0,6.0 +2093,1.0,2.0 +2094,0.0,3.0 +2095,2.0,5.0 +2096,2.0,4.0 +2097,2.0,5.0 +2098,0.0,4.0 +2099,0.0,6.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/911-peak+year_c.csv b/SurgeData/911-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/911-peak+year_c.csv rename to SurgeData/911-peak+year_c.csv diff --git a/SurgeData/N=1000/911-peak+year_w.csv b/SurgeData/911-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/911-peak+year_w.csv rename to SurgeData/911-peak+year_w.csv diff --git a/SurgeData/N=1000/911-peak_c.csv b/SurgeData/911-peak_c.csv similarity index 100% rename from SurgeData/N=1000/911-peak_c.csv rename to SurgeData/911-peak_c.csv diff --git a/SurgeData/N=1000/911-peak_w.csv b/SurgeData/911-peak_w.csv similarity index 100% rename from SurgeData/N=1000/911-peak_w.csv rename to SurgeData/911-peak_w.csv diff --git a/SurgeData/N=1000/911-surge_c.csv b/SurgeData/911-surge_c.csv similarity index 100% rename from SurgeData/N=1000/911-surge_c.csv rename to SurgeData/911-surge_c.csv diff --git a/SurgeData/N=1000/911-surge_w.csv b/SurgeData/911-surge_w.csv similarity index 100% rename from SurgeData/N=1000/911-surge_w.csv rename to SurgeData/911-surge_w.csv diff --git a/SurgeData/N=1000/911-time_c.csv b/SurgeData/911-time_c.csv similarity index 100% rename from SurgeData/N=1000/911-time_c.csv rename to SurgeData/911-time_c.csv diff --git a/SurgeData/N=1000/911-time_w.csv b/SurgeData/911-time_w.csv similarity index 100% rename from SurgeData/N=1000/911-time_w.csv rename to SurgeData/911-time_w.csv diff --git a/SurgeData/N=1000/911-waterlevel_c.csv b/SurgeData/911-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/911-waterlevel_c.csv rename to SurgeData/911-waterlevel_c.csv diff --git a/SurgeData/N=1000/911-waterlevel_w.csv b/SurgeData/911-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/911-waterlevel_w.csv rename to SurgeData/911-waterlevel_w.csv diff --git a/SurgeData/N=1000/912-peak+year_c.csv b/SurgeData/912-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/912-peak+year_c.csv rename to SurgeData/912-peak+year_c.csv diff --git a/SurgeData/N=1000/912-peak+year_w.csv b/SurgeData/912-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/912-peak+year_w.csv rename to SurgeData/912-peak+year_w.csv diff --git a/SurgeData/N=1000/912-peak_c.csv b/SurgeData/912-peak_c.csv similarity index 100% rename from SurgeData/N=1000/912-peak_c.csv rename to SurgeData/912-peak_c.csv diff --git a/SurgeData/N=1000/912-peak_w.csv b/SurgeData/912-peak_w.csv similarity index 100% rename from SurgeData/N=1000/912-peak_w.csv rename to SurgeData/912-peak_w.csv diff --git a/SurgeData/N=1000/912-surge_c.csv b/SurgeData/912-surge_c.csv similarity index 100% rename from SurgeData/N=1000/912-surge_c.csv rename to SurgeData/912-surge_c.csv diff --git a/SurgeData/N=1000/912-surge_w.csv b/SurgeData/912-surge_w.csv similarity index 100% rename from SurgeData/N=1000/912-surge_w.csv rename to SurgeData/912-surge_w.csv diff --git a/SurgeData/N=1000/912-time_c.csv b/SurgeData/912-time_c.csv similarity index 100% rename from SurgeData/N=1000/912-time_c.csv rename to SurgeData/912-time_c.csv diff --git a/SurgeData/N=1000/912-time_w.csv b/SurgeData/912-time_w.csv similarity index 100% rename from SurgeData/N=1000/912-time_w.csv rename to SurgeData/912-time_w.csv diff --git a/SurgeData/N=1000/912-waterlevel_c.csv b/SurgeData/912-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/912-waterlevel_c.csv rename to SurgeData/912-waterlevel_c.csv diff --git a/SurgeData/N=1000/912-waterlevel_w.csv b/SurgeData/912-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/912-waterlevel_w.csv rename to SurgeData/912-waterlevel_w.csv diff --git a/SurgeData/913-num_storm.csv b/SurgeData/913-num_storm.csv new file mode 100644 index 00000000..df74f239 --- /dev/null +++ b/SurgeData/913-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,3.0,3.0 +2022,0.0,3.0 +2023,4.0,6.0 +2024,2.0,4.0 +2025,0.0,3.0 +2026,2.0,4.0 +2027,3.0,7.0 +2028,1.0,6.0 +2029,0.0,4.0 +2030,1.0,5.0 +2031,4.0,4.0 +2032,0.0,3.0 +2033,1.0,3.0 +2034,2.0,2.0 +2035,2.0,3.0 +2036,2.0,8.0 +2037,2.0,5.0 +2038,0.0,2.0 +2039,3.0,2.0 +2040,2.0,2.0 +2041,0.0,6.0 +2042,0.0,7.0 +2043,2.0,5.0 +2044,0.0,4.0 +2045,3.0,3.0 +2046,0.0,6.0 +2047,1.0,2.0 +2048,0.0,3.0 +2049,4.0,2.0 +2050,1.0,6.0 +2051,1.0,5.0 +2052,1.0,6.0 +2053,2.0,6.0 +2054,0.0,4.0 +2055,1.0,4.0 +2056,0.0,5.0 +2057,2.0,7.0 +2058,2.0,3.0 +2059,0.0,2.0 +2060,2.0,6.0 +2061,0.0,7.0 +2062,1.0,4.0 +2063,1.0,6.0 +2064,2.0,3.0 +2065,1.0,6.0 +2066,2.0,0.0 +2067,3.0,5.0 +2068,1.0,2.0 +2069,3.0,3.0 +2070,1.0,7.0 +2071,4.0,4.0 +2072,2.0,4.0 +2073,0.0,7.0 +2074,0.0,2.0 +2075,1.0,2.0 +2076,2.0,5.0 +2077,0.0,2.0 +2078,1.0,5.0 +2079,1.0,2.0 +2080,3.0,4.0 +2081,2.0,5.0 +2082,1.0,4.0 +2083,0.0,7.0 +2084,2.0,2.0 +2085,1.0,4.0 +2086,3.0,2.0 +2087,1.0,5.0 +2088,0.0,5.0 +2089,1.0,6.0 +2090,3.0,2.0 +2091,0.0,5.0 +2092,1.0,3.0 +2093,1.0,1.0 +2094,1.0,1.0 +2095,2.0,7.0 +2096,1.0,2.0 +2097,1.0,2.0 +2098,0.0,1.0 +2099,1.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/913-peak+year_c.csv b/SurgeData/913-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/913-peak+year_c.csv rename to SurgeData/913-peak+year_c.csv diff --git a/SurgeData/N=1000/913-peak+year_w.csv b/SurgeData/913-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/913-peak+year_w.csv rename to SurgeData/913-peak+year_w.csv diff --git a/SurgeData/N=1000/913-peak_c.csv b/SurgeData/913-peak_c.csv similarity index 100% rename from SurgeData/N=1000/913-peak_c.csv rename to SurgeData/913-peak_c.csv diff --git a/SurgeData/N=1000/913-peak_w.csv b/SurgeData/913-peak_w.csv similarity index 100% rename from SurgeData/N=1000/913-peak_w.csv rename to SurgeData/913-peak_w.csv diff --git a/SurgeData/N=1000/913-surge_c.csv b/SurgeData/913-surge_c.csv similarity index 100% rename from SurgeData/N=1000/913-surge_c.csv rename to SurgeData/913-surge_c.csv diff --git a/SurgeData/N=1000/913-surge_w.csv b/SurgeData/913-surge_w.csv similarity index 100% rename from SurgeData/N=1000/913-surge_w.csv rename to SurgeData/913-surge_w.csv diff --git a/SurgeData/N=1000/913-time_c.csv b/SurgeData/913-time_c.csv similarity index 100% rename from SurgeData/N=1000/913-time_c.csv rename to SurgeData/913-time_c.csv diff --git a/SurgeData/N=1000/913-time_w.csv b/SurgeData/913-time_w.csv similarity index 100% rename from SurgeData/N=1000/913-time_w.csv rename to SurgeData/913-time_w.csv diff --git a/SurgeData/N=1000/913-waterlevel_c.csv b/SurgeData/913-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/913-waterlevel_c.csv rename to SurgeData/913-waterlevel_c.csv diff --git a/SurgeData/N=1000/913-waterlevel_w.csv b/SurgeData/913-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/913-waterlevel_w.csv rename to SurgeData/913-waterlevel_w.csv diff --git a/SurgeData/914-num_storm.csv b/SurgeData/914-num_storm.csv new file mode 100644 index 00000000..c6725616 --- /dev/null +++ b/SurgeData/914-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,1.0,4.0 +2022,1.0,7.0 +2023,1.0,7.0 +2024,2.0,7.0 +2025,1.0,2.0 +2026,1.0,3.0 +2027,2.0,1.0 +2028,1.0,2.0 +2029,1.0,4.0 +2030,1.0,7.0 +2031,0.0,2.0 +2032,5.0,6.0 +2033,2.0,2.0 +2034,2.0,1.0 +2035,3.0,2.0 +2036,0.0,2.0 +2037,1.0,8.0 +2038,0.0,4.0 +2039,3.0,5.0 +2040,2.0,2.0 +2041,3.0,3.0 +2042,1.0,4.0 +2043,0.0,6.0 +2044,0.0,1.0 +2045,1.0,4.0 +2046,3.0,4.0 +2047,0.0,5.0 +2048,0.0,5.0 +2049,1.0,2.0 +2050,1.0,6.0 +2051,1.0,7.0 +2052,0.0,4.0 +2053,2.0,2.0 +2054,0.0,3.0 +2055,1.0,9.0 +2056,3.0,10.0 +2057,2.0,1.0 +2058,0.0,7.0 +2059,0.0,2.0 +2060,2.0,6.0 +2061,0.0,5.0 +2062,1.0,2.0 +2063,0.0,4.0 +2064,2.0,6.0 +2065,1.0,5.0 +2066,1.0,2.0 +2067,2.0,6.0 +2068,4.0,6.0 +2069,1.0,2.0 +2070,2.0,6.0 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a/SurgeData/N=1000/914-peak_w.csv b/SurgeData/914-peak_w.csv similarity index 100% rename from SurgeData/N=1000/914-peak_w.csv rename to SurgeData/914-peak_w.csv diff --git a/SurgeData/N=1000/914-surge_c.csv b/SurgeData/914-surge_c.csv similarity index 100% rename from SurgeData/N=1000/914-surge_c.csv rename to SurgeData/914-surge_c.csv diff --git a/SurgeData/N=1000/914-surge_w.csv b/SurgeData/914-surge_w.csv similarity index 100% rename from SurgeData/N=1000/914-surge_w.csv rename to SurgeData/914-surge_w.csv diff --git a/SurgeData/N=1000/914-time_c.csv b/SurgeData/914-time_c.csv similarity index 100% rename from SurgeData/N=1000/914-time_c.csv rename to SurgeData/914-time_c.csv diff --git a/SurgeData/N=1000/914-time_w.csv b/SurgeData/914-time_w.csv similarity index 100% rename from SurgeData/N=1000/914-time_w.csv rename to SurgeData/914-time_w.csv diff --git a/SurgeData/N=1000/914-waterlevel_c.csv b/SurgeData/914-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/914-waterlevel_c.csv rename to SurgeData/914-waterlevel_c.csv diff --git a/SurgeData/N=1000/914-waterlevel_w.csv b/SurgeData/914-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/914-waterlevel_w.csv rename to SurgeData/914-waterlevel_w.csv diff --git a/SurgeData/915-num_storm.csv b/SurgeData/915-num_storm.csv new file mode 100644 index 00000000..656038ae --- /dev/null +++ b/SurgeData/915-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,2.0,0.0 +2022,0.0,5.0 +2023,2.0,3.0 +2024,3.0,7.0 +2025,2.0,4.0 +2026,2.0,6.0 +2027,1.0,2.0 +2028,5.0,4.0 +2029,2.0,3.0 +2030,1.0,2.0 +2031,4.0,5.0 +2032,3.0,2.0 +2033,2.0,5.0 +2034,1.0,4.0 +2035,1.0,7.0 +2036,0.0,5.0 +2037,1.0,6.0 +2038,0.0,4.0 +2039,3.0,5.0 +2040,1.0,3.0 +2041,4.0,1.0 +2042,0.0,4.0 +2043,2.0,2.0 +2044,0.0,4.0 +2045,3.0,5.0 +2046,2.0,3.0 +2047,1.0,7.0 +2048,2.0,5.0 +2049,4.0,10.0 +2050,1.0,2.0 +2051,2.0,2.0 +2052,1.0,5.0 +2053,1.0,3.0 +2054,1.0,3.0 +2055,1.0,3.0 +2056,1.0,5.0 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SurgeData/915-peak+year_w.csv diff --git a/SurgeData/N=1000/915-peak_c.csv b/SurgeData/915-peak_c.csv similarity index 100% rename from SurgeData/N=1000/915-peak_c.csv rename to SurgeData/915-peak_c.csv diff --git a/SurgeData/N=1000/915-peak_w.csv b/SurgeData/915-peak_w.csv similarity index 100% rename from SurgeData/N=1000/915-peak_w.csv rename to SurgeData/915-peak_w.csv diff --git a/SurgeData/N=1000/915-surge_c.csv b/SurgeData/915-surge_c.csv similarity index 100% rename from SurgeData/N=1000/915-surge_c.csv rename to SurgeData/915-surge_c.csv diff --git a/SurgeData/N=1000/915-surge_w.csv b/SurgeData/915-surge_w.csv similarity index 100% rename from SurgeData/N=1000/915-surge_w.csv rename to SurgeData/915-surge_w.csv diff --git a/SurgeData/N=1000/915-time_c.csv b/SurgeData/915-time_c.csv similarity index 100% rename from SurgeData/N=1000/915-time_c.csv rename to SurgeData/915-time_c.csv diff --git a/SurgeData/N=1000/915-time_w.csv b/SurgeData/915-time_w.csv similarity index 100% rename from SurgeData/N=1000/915-time_w.csv rename to SurgeData/915-time_w.csv diff --git a/SurgeData/N=1000/915-waterlevel_c.csv b/SurgeData/915-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/915-waterlevel_c.csv rename to SurgeData/915-waterlevel_c.csv diff --git a/SurgeData/N=1000/915-waterlevel_w.csv b/SurgeData/915-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/915-waterlevel_w.csv rename to SurgeData/915-waterlevel_w.csv diff --git a/SurgeData/916-num_storm.csv b/SurgeData/916-num_storm.csv new file mode 100644 index 00000000..eb3fcf75 --- /dev/null +++ b/SurgeData/916-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,8.0 +2021,3.0,2.0 +2022,3.0,6.0 +2023,3.0,3.0 +2024,1.0,5.0 +2025,2.0,4.0 +2026,1.0,5.0 +2027,2.0,7.0 +2028,1.0,8.0 +2029,3.0,5.0 +2030,1.0,2.0 +2031,2.0,1.0 +2032,3.0,2.0 +2033,0.0,6.0 +2034,2.0,3.0 +2035,0.0,2.0 +2036,1.0,4.0 +2037,2.0,7.0 +2038,2.0,1.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,1.0,6.0 +2042,0.0,1.0 +2043,3.0,3.0 +2044,1.0,5.0 +2045,2.0,3.0 +2046,1.0,4.0 +2047,1.0,3.0 +2048,1.0,4.0 +2049,2.0,3.0 +2050,2.0,5.0 +2051,0.0,6.0 +2052,5.0,8.0 +2053,2.0,5.0 +2054,3.0,6.0 +2055,0.0,2.0 +2056,2.0,6.0 +2057,1.0,9.0 +2058,4.0,6.0 +2059,2.0,4.0 +2060,0.0,6.0 +2061,1.0,6.0 +2062,0.0,3.0 +2063,2.0,5.0 +2064,2.0,6.0 +2065,2.0,2.0 +2066,1.0,4.0 +2067,2.0,4.0 +2068,1.0,3.0 +2069,3.0,6.0 +2070,0.0,7.0 +2071,2.0,3.0 +2072,0.0,5.0 +2073,0.0,3.0 +2074,1.0,6.0 +2075,2.0,2.0 +2076,1.0,5.0 +2077,0.0,5.0 +2078,0.0,4.0 +2079,1.0,4.0 +2080,1.0,6.0 +2081,3.0,6.0 +2082,3.0,5.0 +2083,2.0,3.0 +2084,2.0,5.0 +2085,0.0,6.0 +2086,1.0,6.0 +2087,3.0,7.0 +2088,2.0,2.0 +2089,1.0,3.0 +2090,1.0,1.0 +2091,0.0,0.0 +2092,2.0,4.0 +2093,1.0,5.0 +2094,1.0,1.0 +2095,2.0,2.0 +2096,1.0,3.0 +2097,1.0,2.0 +2098,3.0,7.0 +2099,0.0,3.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/916-peak+year_c.csv b/SurgeData/916-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/916-peak+year_c.csv rename to SurgeData/916-peak+year_c.csv diff --git a/SurgeData/N=1000/916-peak+year_w.csv b/SurgeData/916-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/916-peak+year_w.csv rename to SurgeData/916-peak+year_w.csv diff --git a/SurgeData/N=1000/916-peak_c.csv b/SurgeData/916-peak_c.csv similarity index 100% rename from SurgeData/N=1000/916-peak_c.csv rename to SurgeData/916-peak_c.csv diff --git a/SurgeData/N=1000/916-peak_w.csv b/SurgeData/916-peak_w.csv similarity index 100% rename from SurgeData/N=1000/916-peak_w.csv rename to SurgeData/916-peak_w.csv diff --git a/SurgeData/N=1000/916-surge_c.csv b/SurgeData/916-surge_c.csv similarity index 100% rename from SurgeData/N=1000/916-surge_c.csv rename to SurgeData/916-surge_c.csv diff --git a/SurgeData/N=1000/916-surge_w.csv b/SurgeData/916-surge_w.csv similarity index 100% rename from SurgeData/N=1000/916-surge_w.csv rename to SurgeData/916-surge_w.csv diff --git a/SurgeData/N=1000/916-time_c.csv b/SurgeData/916-time_c.csv similarity index 100% rename from SurgeData/N=1000/916-time_c.csv rename to SurgeData/916-time_c.csv diff --git a/SurgeData/N=1000/916-time_w.csv b/SurgeData/916-time_w.csv similarity index 100% rename from SurgeData/N=1000/916-time_w.csv rename to SurgeData/916-time_w.csv diff --git a/SurgeData/N=1000/916-waterlevel_c.csv b/SurgeData/916-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/916-waterlevel_c.csv rename to SurgeData/916-waterlevel_c.csv diff --git a/SurgeData/N=1000/916-waterlevel_w.csv b/SurgeData/916-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/916-waterlevel_w.csv rename to SurgeData/916-waterlevel_w.csv diff --git a/SurgeData/917-num_storm.csv b/SurgeData/917-num_storm.csv new file mode 100644 index 00000000..6758ea66 --- /dev/null +++ b/SurgeData/917-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,1.0,2.0 +2022,1.0,4.0 +2023,3.0,2.0 +2024,0.0,2.0 +2025,0.0,3.0 +2026,1.0,2.0 +2027,1.0,6.0 +2028,3.0,4.0 +2029,2.0,3.0 +2030,1.0,4.0 +2031,1.0,3.0 +2032,2.0,2.0 +2033,0.0,3.0 +2034,0.0,2.0 +2035,3.0,5.0 +2036,1.0,4.0 +2037,1.0,3.0 +2038,0.0,3.0 +2039,1.0,0.0 +2040,0.0,5.0 +2041,1.0,10.0 +2042,1.0,4.0 +2043,2.0,2.0 +2044,3.0,4.0 +2045,1.0,4.0 +2046,2.0,10.0 +2047,4.0,9.0 +2048,2.0,1.0 +2049,2.0,3.0 +2050,4.0,5.0 +2051,0.0,2.0 +2052,1.0,5.0 +2053,3.0,3.0 +2054,0.0,6.0 +2055,1.0,6.0 +2056,0.0,4.0 +2057,1.0,5.0 +2058,2.0,3.0 +2059,3.0,3.0 +2060,2.0,5.0 +2061,0.0,10.0 +2062,3.0,5.0 +2063,1.0,2.0 +2064,2.0,5.0 +2065,3.0,3.0 +2066,2.0,4.0 +2067,0.0,10.0 +2068,4.0,2.0 +2069,2.0,4.0 +2070,2.0,7.0 +2071,1.0,5.0 +2072,1.0,1.0 +2073,0.0,2.0 +2074,1.0,3.0 +2075,1.0,4.0 +2076,1.0,2.0 +2077,1.0,7.0 +2078,0.0,6.0 +2079,3.0,7.0 +2080,0.0,4.0 +2081,5.0,3.0 +2082,2.0,8.0 +2083,0.0,4.0 +2084,1.0,4.0 +2085,0.0,1.0 +2086,0.0,4.0 +2087,3.0,5.0 +2088,2.0,7.0 +2089,0.0,3.0 +2090,0.0,3.0 +2091,0.0,4.0 +2092,2.0,4.0 +2093,2.0,5.0 +2094,1.0,3.0 +2095,0.0,3.0 +2096,4.0,3.0 +2097,1.0,5.0 +2098,0.0,4.0 +2099,2.0,6.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/917-peak+year_c.csv b/SurgeData/917-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/917-peak+year_c.csv rename to SurgeData/917-peak+year_c.csv diff --git a/SurgeData/N=1000/917-peak+year_w.csv b/SurgeData/917-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/917-peak+year_w.csv rename to SurgeData/917-peak+year_w.csv diff --git a/SurgeData/N=1000/917-peak_c.csv b/SurgeData/917-peak_c.csv similarity index 100% rename from SurgeData/N=1000/917-peak_c.csv rename to SurgeData/917-peak_c.csv diff --git a/SurgeData/N=1000/917-peak_w.csv b/SurgeData/917-peak_w.csv similarity index 100% rename from SurgeData/N=1000/917-peak_w.csv rename to SurgeData/917-peak_w.csv diff --git a/SurgeData/N=1000/917-surge_c.csv b/SurgeData/917-surge_c.csv similarity index 100% rename from SurgeData/N=1000/917-surge_c.csv rename to SurgeData/917-surge_c.csv diff --git a/SurgeData/N=1000/917-surge_w.csv b/SurgeData/917-surge_w.csv similarity index 100% rename from SurgeData/N=1000/917-surge_w.csv rename to SurgeData/917-surge_w.csv diff --git a/SurgeData/N=1000/917-time_c.csv b/SurgeData/917-time_c.csv similarity index 100% rename from SurgeData/N=1000/917-time_c.csv rename to SurgeData/917-time_c.csv diff --git a/SurgeData/N=1000/917-time_w.csv b/SurgeData/917-time_w.csv similarity index 100% rename from SurgeData/N=1000/917-time_w.csv rename to SurgeData/917-time_w.csv diff --git a/SurgeData/N=1000/917-waterlevel_c.csv b/SurgeData/917-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/917-waterlevel_c.csv rename to SurgeData/917-waterlevel_c.csv diff --git a/SurgeData/N=1000/917-waterlevel_w.csv b/SurgeData/917-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/917-waterlevel_w.csv rename to SurgeData/917-waterlevel_w.csv diff --git a/SurgeData/918-num_storm.csv b/SurgeData/918-num_storm.csv new file mode 100644 index 00000000..41742284 --- /dev/null +++ b/SurgeData/918-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,3.0 +2022,4.0,8.0 +2023,2.0,5.0 +2024,2.0,1.0 +2025,1.0,2.0 +2026,1.0,6.0 +2027,1.0,7.0 +2028,0.0,6.0 +2029,1.0,2.0 +2030,2.0,6.0 +2031,3.0,5.0 +2032,3.0,7.0 +2033,1.0,2.0 +2034,2.0,3.0 +2035,1.0,5.0 +2036,2.0,4.0 +2037,2.0,5.0 +2038,1.0,1.0 +2039,0.0,5.0 +2040,0.0,2.0 +2041,1.0,6.0 +2042,1.0,5.0 +2043,2.0,2.0 +2044,1.0,6.0 +2045,1.0,2.0 +2046,4.0,5.0 +2047,2.0,3.0 +2048,0.0,5.0 +2049,4.0,4.0 +2050,1.0,3.0 +2051,1.0,5.0 +2052,1.0,1.0 +2053,1.0,5.0 +2054,1.0,6.0 +2055,1.0,5.0 +2056,2.0,4.0 +2057,2.0,4.0 +2058,0.0,3.0 +2059,0.0,6.0 +2060,1.0,6.0 +2061,2.0,4.0 +2062,2.0,2.0 +2063,1.0,3.0 +2064,1.0,5.0 +2065,1.0,2.0 +2066,5.0,9.0 +2067,2.0,3.0 +2068,0.0,2.0 +2069,3.0,2.0 +2070,1.0,3.0 +2071,3.0,4.0 +2072,0.0,7.0 +2073,2.0,5.0 +2074,4.0,1.0 +2075,3.0,7.0 +2076,1.0,2.0 +2077,0.0,4.0 +2078,3.0,2.0 +2079,1.0,2.0 +2080,0.0,6.0 +2081,2.0,4.0 +2082,0.0,2.0 +2083,2.0,5.0 +2084,1.0,7.0 +2085,3.0,6.0 +2086,2.0,3.0 +2087,4.0,2.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,1.0,3.0 +2091,3.0,5.0 +2092,3.0,7.0 +2093,1.0,3.0 +2094,1.0,1.0 +2095,0.0,6.0 +2096,1.0,4.0 +2097,2.0,4.0 +2098,0.0,5.0 +2099,1.0,3.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/918-peak+year_c.csv b/SurgeData/918-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/918-peak+year_c.csv rename to SurgeData/918-peak+year_c.csv diff --git a/SurgeData/N=1000/918-peak+year_w.csv b/SurgeData/918-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/918-peak+year_w.csv rename to SurgeData/918-peak+year_w.csv diff --git a/SurgeData/N=1000/918-peak_c.csv b/SurgeData/918-peak_c.csv similarity index 100% rename from SurgeData/N=1000/918-peak_c.csv rename to SurgeData/918-peak_c.csv diff --git a/SurgeData/N=1000/918-peak_w.csv b/SurgeData/918-peak_w.csv similarity index 100% rename from SurgeData/N=1000/918-peak_w.csv rename to SurgeData/918-peak_w.csv diff --git a/SurgeData/N=1000/918-surge_c.csv b/SurgeData/918-surge_c.csv similarity index 100% rename from SurgeData/N=1000/918-surge_c.csv rename to SurgeData/918-surge_c.csv diff --git a/SurgeData/N=1000/918-surge_w.csv b/SurgeData/918-surge_w.csv similarity index 100% rename from SurgeData/N=1000/918-surge_w.csv rename to SurgeData/918-surge_w.csv diff --git a/SurgeData/N=1000/918-time_c.csv b/SurgeData/918-time_c.csv similarity index 100% rename from SurgeData/N=1000/918-time_c.csv rename to SurgeData/918-time_c.csv diff --git a/SurgeData/N=1000/918-time_w.csv b/SurgeData/918-time_w.csv similarity index 100% rename from SurgeData/N=1000/918-time_w.csv rename to SurgeData/918-time_w.csv diff --git a/SurgeData/N=1000/918-waterlevel_c.csv b/SurgeData/918-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/918-waterlevel_c.csv rename to SurgeData/918-waterlevel_c.csv diff --git a/SurgeData/N=1000/918-waterlevel_w.csv b/SurgeData/918-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/918-waterlevel_w.csv rename to SurgeData/918-waterlevel_w.csv diff --git a/SurgeData/919-num_storm.csv b/SurgeData/919-num_storm.csv new file mode 100644 index 00000000..29ae708a --- /dev/null +++ b/SurgeData/919-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,2.0,7.0 +2022,0.0,6.0 +2023,3.0,6.0 +2024,0.0,4.0 +2025,0.0,2.0 +2026,2.0,1.0 +2027,1.0,8.0 +2028,0.0,4.0 +2029,0.0,3.0 +2030,1.0,2.0 +2031,0.0,4.0 +2032,2.0,3.0 +2033,2.0,7.0 +2034,2.0,7.0 +2035,0.0,6.0 +2036,4.0,0.0 +2037,3.0,6.0 +2038,4.0,5.0 +2039,0.0,6.0 +2040,1.0,6.0 +2041,0.0,3.0 +2042,2.0,2.0 +2043,2.0,8.0 +2044,0.0,4.0 +2045,3.0,6.0 +2046,1.0,5.0 +2047,2.0,10.0 +2048,1.0,7.0 +2049,2.0,5.0 +2050,1.0,6.0 +2051,1.0,3.0 +2052,2.0,2.0 +2053,2.0,3.0 +2054,2.0,5.0 +2055,1.0,4.0 +2056,2.0,4.0 +2057,3.0,4.0 +2058,2.0,2.0 +2059,2.0,3.0 +2060,2.0,1.0 +2061,3.0,3.0 +2062,4.0,5.0 +2063,0.0,4.0 +2064,0.0,6.0 +2065,1.0,4.0 +2066,1.0,6.0 +2067,1.0,4.0 +2068,2.0,2.0 +2069,2.0,6.0 +2070,2.0,1.0 +2071,3.0,5.0 +2072,0.0,4.0 +2073,4.0,7.0 +2074,0.0,1.0 +2075,1.0,6.0 +2076,3.0,4.0 +2077,2.0,1.0 +2078,2.0,3.0 +2079,3.0,6.0 +2080,1.0,3.0 +2081,3.0,4.0 +2082,1.0,7.0 +2083,5.0,2.0 +2084,1.0,6.0 +2085,0.0,6.0 +2086,1.0,5.0 +2087,3.0,3.0 +2088,1.0,7.0 +2089,1.0,3.0 +2090,0.0,4.0 +2091,0.0,3.0 +2092,0.0,3.0 +2093,3.0,3.0 +2094,2.0,3.0 +2095,3.0,7.0 +2096,0.0,4.0 +2097,2.0,3.0 +2098,1.0,5.0 +2099,1.0,4.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/919-peak+year_c.csv b/SurgeData/919-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/919-peak+year_c.csv rename to SurgeData/919-peak+year_c.csv diff --git a/SurgeData/N=1000/919-peak+year_w.csv b/SurgeData/919-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/919-peak+year_w.csv rename to SurgeData/919-peak+year_w.csv diff --git a/SurgeData/N=1000/919-peak_c.csv b/SurgeData/919-peak_c.csv similarity index 100% rename from SurgeData/N=1000/919-peak_c.csv rename to SurgeData/919-peak_c.csv diff --git a/SurgeData/N=1000/919-peak_w.csv b/SurgeData/919-peak_w.csv similarity index 100% rename from SurgeData/N=1000/919-peak_w.csv rename to SurgeData/919-peak_w.csv diff --git a/SurgeData/N=1000/919-surge_c.csv b/SurgeData/919-surge_c.csv similarity index 100% rename from SurgeData/N=1000/919-surge_c.csv rename to SurgeData/919-surge_c.csv diff --git a/SurgeData/N=1000/919-surge_w.csv b/SurgeData/919-surge_w.csv similarity index 100% rename from SurgeData/N=1000/919-surge_w.csv rename to SurgeData/919-surge_w.csv diff --git a/SurgeData/N=1000/919-time_c.csv b/SurgeData/919-time_c.csv similarity index 100% rename from SurgeData/N=1000/919-time_c.csv rename to SurgeData/919-time_c.csv diff --git a/SurgeData/N=1000/919-time_w.csv b/SurgeData/919-time_w.csv similarity index 100% rename from SurgeData/N=1000/919-time_w.csv rename to SurgeData/919-time_w.csv diff --git a/SurgeData/N=1000/919-waterlevel_c.csv b/SurgeData/919-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/919-waterlevel_c.csv rename to SurgeData/919-waterlevel_c.csv diff --git a/SurgeData/N=1000/919-waterlevel_w.csv b/SurgeData/919-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/919-waterlevel_w.csv rename to SurgeData/919-waterlevel_w.csv diff --git a/SurgeData/92-num_storm.csv b/SurgeData/92-num_storm.csv new file mode 100644 index 00000000..73252d02 --- /dev/null +++ b/SurgeData/92-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,4.0 +2021,2.0,2.0 +2022,4.0,4.0 +2023,1.0,3.0 +2024,1.0,5.0 +2025,1.0,1.0 +2026,2.0,4.0 +2027,1.0,4.0 +2028,5.0,4.0 +2029,2.0,3.0 +2030,2.0,3.0 +2031,4.0,7.0 +2032,0.0,3.0 +2033,1.0,2.0 +2034,2.0,5.0 +2035,0.0,2.0 +2036,2.0,6.0 +2037,1.0,2.0 +2038,2.0,4.0 +2039,3.0,3.0 +2040,2.0,2.0 +2041,0.0,3.0 +2042,3.0,0.0 +2043,2.0,3.0 +2044,2.0,5.0 +2045,1.0,1.0 +2046,0.0,2.0 +2047,2.0,1.0 +2048,1.0,2.0 +2049,0.0,5.0 +2050,2.0,7.0 +2051,1.0,5.0 +2052,3.0,1.0 +2053,1.0,2.0 +2054,1.0,9.0 +2055,1.0,4.0 +2056,1.0,5.0 +2057,3.0,8.0 +2058,1.0,6.0 +2059,2.0,2.0 +2060,1.0,3.0 +2061,5.0,6.0 +2062,1.0,8.0 +2063,1.0,5.0 +2064,0.0,6.0 +2065,1.0,9.0 +2066,3.0,3.0 +2067,1.0,2.0 +2068,1.0,3.0 +2069,1.0,3.0 +2070,2.0,9.0 +2071,2.0,5.0 +2072,0.0,3.0 +2073,2.0,6.0 +2074,1.0,5.0 +2075,1.0,7.0 +2076,1.0,7.0 +2077,3.0,4.0 +2078,3.0,5.0 +2079,3.0,3.0 +2080,2.0,4.0 +2081,2.0,5.0 +2082,2.0,6.0 +2083,3.0,2.0 +2084,0.0,9.0 +2085,2.0,3.0 +2086,3.0,3.0 +2087,2.0,6.0 +2088,1.0,3.0 +2089,4.0,2.0 +2090,1.0,7.0 +2091,2.0,6.0 +2092,2.0,4.0 +2093,1.0,1.0 +2094,0.0,3.0 +2095,1.0,2.0 +2096,0.0,5.0 +2097,2.0,3.0 +2098,2.0,3.0 +2099,1.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/92-peak+year_c.csv b/SurgeData/92-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/92-peak+year_c.csv rename to SurgeData/92-peak+year_c.csv diff --git a/SurgeData/N=1000/92-peak+year_w.csv b/SurgeData/92-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/92-peak+year_w.csv rename to SurgeData/92-peak+year_w.csv diff --git a/SurgeData/N=1000/92-peak_c.csv b/SurgeData/92-peak_c.csv similarity index 100% rename from SurgeData/N=1000/92-peak_c.csv rename to SurgeData/92-peak_c.csv diff --git a/SurgeData/N=1000/92-peak_w.csv b/SurgeData/92-peak_w.csv similarity index 100% rename from SurgeData/N=1000/92-peak_w.csv rename to SurgeData/92-peak_w.csv diff --git a/SurgeData/N=1000/92-surge_c.csv b/SurgeData/92-surge_c.csv similarity index 100% rename from SurgeData/N=1000/92-surge_c.csv rename to SurgeData/92-surge_c.csv diff --git a/SurgeData/N=1000/92-surge_w.csv b/SurgeData/92-surge_w.csv similarity index 100% rename from SurgeData/N=1000/92-surge_w.csv rename to SurgeData/92-surge_w.csv diff --git a/SurgeData/N=1000/92-time_c.csv b/SurgeData/92-time_c.csv similarity index 100% rename from SurgeData/N=1000/92-time_c.csv rename to SurgeData/92-time_c.csv diff --git a/SurgeData/N=1000/92-time_w.csv b/SurgeData/92-time_w.csv similarity index 100% rename from SurgeData/N=1000/92-time_w.csv rename to SurgeData/92-time_w.csv diff --git a/SurgeData/N=1000/92-waterlevel_c.csv b/SurgeData/92-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/92-waterlevel_c.csv rename to SurgeData/92-waterlevel_c.csv diff --git a/SurgeData/N=1000/92-waterlevel_w.csv b/SurgeData/92-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/92-waterlevel_w.csv rename to SurgeData/92-waterlevel_w.csv diff --git a/SurgeData/N=1000/920-peak+year_c.csv b/SurgeData/920-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/920-peak+year_c.csv rename to SurgeData/920-peak+year_c.csv diff --git a/SurgeData/N=1000/920-peak+year_w.csv b/SurgeData/920-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/920-peak+year_w.csv rename to SurgeData/920-peak+year_w.csv diff --git a/SurgeData/N=1000/920-peak_c.csv b/SurgeData/920-peak_c.csv similarity index 100% rename from SurgeData/N=1000/920-peak_c.csv rename to SurgeData/920-peak_c.csv diff --git a/SurgeData/N=1000/920-peak_w.csv b/SurgeData/920-peak_w.csv similarity index 100% rename from SurgeData/N=1000/920-peak_w.csv rename to SurgeData/920-peak_w.csv diff --git a/SurgeData/N=1000/920-surge_c.csv b/SurgeData/920-surge_c.csv similarity index 100% rename from SurgeData/N=1000/920-surge_c.csv rename to SurgeData/920-surge_c.csv diff --git a/SurgeData/N=1000/920-surge_w.csv b/SurgeData/920-surge_w.csv similarity index 100% rename from SurgeData/N=1000/920-surge_w.csv rename to SurgeData/920-surge_w.csv diff --git a/SurgeData/N=1000/920-time_c.csv b/SurgeData/920-time_c.csv similarity index 100% rename from SurgeData/N=1000/920-time_c.csv rename to SurgeData/920-time_c.csv diff --git a/SurgeData/N=1000/920-time_w.csv b/SurgeData/920-time_w.csv similarity index 100% rename from SurgeData/N=1000/920-time_w.csv rename to SurgeData/920-time_w.csv diff --git a/SurgeData/N=1000/920-waterlevel_c.csv b/SurgeData/920-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/920-waterlevel_c.csv rename to SurgeData/920-waterlevel_c.csv diff --git a/SurgeData/N=1000/920-waterlevel_w.csv b/SurgeData/920-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/920-waterlevel_w.csv rename to SurgeData/920-waterlevel_w.csv diff --git a/SurgeData/N=1000/921-peak+year_c.csv b/SurgeData/921-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/921-peak+year_c.csv rename to SurgeData/921-peak+year_c.csv diff --git a/SurgeData/N=1000/921-peak+year_w.csv b/SurgeData/921-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/921-peak+year_w.csv rename to SurgeData/921-peak+year_w.csv diff --git a/SurgeData/N=1000/921-peak_c.csv b/SurgeData/921-peak_c.csv similarity index 100% rename from SurgeData/N=1000/921-peak_c.csv rename to SurgeData/921-peak_c.csv diff --git a/SurgeData/N=1000/921-peak_w.csv b/SurgeData/921-peak_w.csv similarity index 100% rename from SurgeData/N=1000/921-peak_w.csv rename to SurgeData/921-peak_w.csv diff --git a/SurgeData/N=1000/921-surge_c.csv b/SurgeData/921-surge_c.csv similarity index 100% rename from SurgeData/N=1000/921-surge_c.csv rename to SurgeData/921-surge_c.csv diff --git a/SurgeData/N=1000/921-surge_w.csv b/SurgeData/921-surge_w.csv similarity index 100% rename from SurgeData/N=1000/921-surge_w.csv rename to SurgeData/921-surge_w.csv diff --git a/SurgeData/N=1000/921-time_c.csv b/SurgeData/921-time_c.csv similarity index 100% rename from SurgeData/N=1000/921-time_c.csv rename to SurgeData/921-time_c.csv diff --git a/SurgeData/N=1000/921-time_w.csv b/SurgeData/921-time_w.csv similarity index 100% rename from SurgeData/N=1000/921-time_w.csv rename to SurgeData/921-time_w.csv diff --git a/SurgeData/N=1000/921-waterlevel_c.csv b/SurgeData/921-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/921-waterlevel_c.csv rename to SurgeData/921-waterlevel_c.csv diff --git a/SurgeData/N=1000/921-waterlevel_w.csv b/SurgeData/921-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/921-waterlevel_w.csv rename to SurgeData/921-waterlevel_w.csv diff --git a/SurgeData/N=1000/922-peak+year_c.csv b/SurgeData/922-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/922-peak+year_c.csv rename to SurgeData/922-peak+year_c.csv diff --git a/SurgeData/N=1000/922-peak+year_w.csv b/SurgeData/922-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/922-peak+year_w.csv rename to SurgeData/922-peak+year_w.csv diff --git a/SurgeData/N=1000/922-peak_c.csv b/SurgeData/922-peak_c.csv similarity index 100% rename from SurgeData/N=1000/922-peak_c.csv rename to SurgeData/922-peak_c.csv diff --git a/SurgeData/N=1000/922-peak_w.csv b/SurgeData/922-peak_w.csv similarity index 100% rename from SurgeData/N=1000/922-peak_w.csv rename to SurgeData/922-peak_w.csv diff --git a/SurgeData/N=1000/922-surge_c.csv b/SurgeData/922-surge_c.csv similarity index 100% rename from SurgeData/N=1000/922-surge_c.csv rename to SurgeData/922-surge_c.csv diff --git a/SurgeData/N=1000/922-surge_w.csv b/SurgeData/922-surge_w.csv similarity index 100% rename from SurgeData/N=1000/922-surge_w.csv rename to SurgeData/922-surge_w.csv diff --git a/SurgeData/N=1000/922-time_c.csv b/SurgeData/922-time_c.csv similarity index 100% rename from SurgeData/N=1000/922-time_c.csv rename to SurgeData/922-time_c.csv diff --git a/SurgeData/N=1000/922-time_w.csv b/SurgeData/922-time_w.csv similarity index 100% rename from SurgeData/N=1000/922-time_w.csv rename to SurgeData/922-time_w.csv diff --git a/SurgeData/N=1000/922-waterlevel_c.csv b/SurgeData/922-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/922-waterlevel_c.csv rename to SurgeData/922-waterlevel_c.csv diff --git a/SurgeData/N=1000/922-waterlevel_w.csv b/SurgeData/922-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/922-waterlevel_w.csv rename to SurgeData/922-waterlevel_w.csv diff --git a/SurgeData/923-num_storm.csv b/SurgeData/923-num_storm.csv new file mode 100644 index 00000000..218ad2df --- /dev/null +++ b/SurgeData/923-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,2.0 +2021,0.0,1.0 +2022,1.0,1.0 +2023,0.0,1.0 +2024,2.0,4.0 +2025,1.0,1.0 +2026,1.0,7.0 +2027,0.0,2.0 +2028,2.0,4.0 +2029,3.0,3.0 +2030,3.0,5.0 +2031,2.0,4.0 +2032,3.0,2.0 +2033,3.0,1.0 +2034,2.0,1.0 +2035,0.0,4.0 +2036,1.0,2.0 +2037,4.0,3.0 +2038,4.0,0.0 +2039,2.0,2.0 +2040,1.0,7.0 +2041,3.0,3.0 +2042,1.0,4.0 +2043,3.0,2.0 +2044,1.0,2.0 +2045,1.0,3.0 +2046,2.0,4.0 +2047,1.0,7.0 +2048,0.0,1.0 +2049,3.0,4.0 +2050,1.0,3.0 +2051,1.0,2.0 +2052,1.0,5.0 +2053,4.0,6.0 +2054,2.0,4.0 +2055,0.0,9.0 +2056,2.0,2.0 +2057,1.0,3.0 +2058,1.0,5.0 +2059,3.0,3.0 +2060,1.0,3.0 +2061,0.0,4.0 +2062,0.0,8.0 +2063,0.0,3.0 +2064,0.0,3.0 +2065,0.0,2.0 +2066,0.0,2.0 +2067,3.0,3.0 +2068,0.0,5.0 +2069,2.0,8.0 +2070,3.0,4.0 +2071,1.0,5.0 +2072,0.0,1.0 +2073,1.0,4.0 +2074,1.0,2.0 +2075,2.0,3.0 +2076,1.0,4.0 +2077,1.0,5.0 +2078,3.0,3.0 +2079,0.0,1.0 +2080,1.0,6.0 +2081,3.0,7.0 +2082,1.0,1.0 +2083,0.0,1.0 +2084,2.0,4.0 +2085,1.0,3.0 +2086,3.0,6.0 +2087,1.0,5.0 +2088,2.0,3.0 +2089,0.0,3.0 +2090,2.0,5.0 +2091,2.0,6.0 +2092,1.0,7.0 +2093,1.0,2.0 +2094,2.0,2.0 +2095,3.0,3.0 +2096,3.0,4.0 +2097,1.0,2.0 +2098,2.0,2.0 +2099,1.0,5.0 +2100,0.0,3.0 diff --git a/SurgeData/N=1000/923-peak+year_c.csv b/SurgeData/923-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/923-peak+year_c.csv rename to SurgeData/923-peak+year_c.csv diff --git a/SurgeData/N=1000/923-peak+year_w.csv b/SurgeData/923-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/923-peak+year_w.csv rename to SurgeData/923-peak+year_w.csv diff --git a/SurgeData/N=1000/923-peak_c.csv b/SurgeData/923-peak_c.csv similarity index 100% rename from SurgeData/N=1000/923-peak_c.csv rename to SurgeData/923-peak_c.csv diff --git a/SurgeData/N=1000/923-peak_w.csv b/SurgeData/923-peak_w.csv similarity index 100% rename from SurgeData/N=1000/923-peak_w.csv rename to SurgeData/923-peak_w.csv diff --git a/SurgeData/N=1000/923-surge_c.csv b/SurgeData/923-surge_c.csv similarity index 100% rename from SurgeData/N=1000/923-surge_c.csv rename to SurgeData/923-surge_c.csv diff --git a/SurgeData/N=1000/923-surge_w.csv b/SurgeData/923-surge_w.csv similarity index 100% rename from SurgeData/N=1000/923-surge_w.csv rename to SurgeData/923-surge_w.csv diff --git a/SurgeData/N=1000/923-time_c.csv b/SurgeData/923-time_c.csv similarity index 100% rename from SurgeData/N=1000/923-time_c.csv rename to SurgeData/923-time_c.csv diff --git a/SurgeData/N=1000/923-time_w.csv b/SurgeData/923-time_w.csv similarity index 100% rename from SurgeData/N=1000/923-time_w.csv rename to SurgeData/923-time_w.csv diff --git a/SurgeData/N=1000/923-waterlevel_c.csv b/SurgeData/923-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/923-waterlevel_c.csv rename to SurgeData/923-waterlevel_c.csv diff --git a/SurgeData/N=1000/923-waterlevel_w.csv b/SurgeData/923-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/923-waterlevel_w.csv rename to SurgeData/923-waterlevel_w.csv diff --git a/SurgeData/924-num_storm.csv b/SurgeData/924-num_storm.csv new file mode 100644 index 00000000..5e5ce5c7 --- /dev/null +++ b/SurgeData/924-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,3.0 +2022,2.0,4.0 +2023,0.0,1.0 +2024,0.0,2.0 +2025,1.0,3.0 +2026,3.0,4.0 +2027,1.0,5.0 +2028,1.0,2.0 +2029,3.0,5.0 +2030,2.0,1.0 +2031,1.0,1.0 +2032,1.0,3.0 +2033,1.0,3.0 +2034,0.0,7.0 +2035,0.0,5.0 +2036,2.0,5.0 +2037,1.0,4.0 +2038,1.0,4.0 +2039,1.0,4.0 +2040,1.0,2.0 +2041,0.0,4.0 +2042,1.0,3.0 +2043,1.0,8.0 +2044,1.0,1.0 +2045,3.0,0.0 +2046,2.0,3.0 +2047,3.0,5.0 +2048,1.0,4.0 +2049,0.0,3.0 +2050,0.0,6.0 +2051,1.0,9.0 +2052,1.0,6.0 +2053,0.0,8.0 +2054,3.0,4.0 +2055,4.0,6.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,1.0,5.0 +2059,1.0,4.0 +2060,2.0,3.0 +2061,2.0,1.0 +2062,1.0,6.0 +2063,0.0,4.0 +2064,1.0,4.0 +2065,0.0,4.0 +2066,2.0,6.0 +2067,3.0,7.0 +2068,1.0,4.0 +2069,3.0,4.0 +2070,0.0,2.0 +2071,2.0,5.0 +2072,1.0,5.0 +2073,5.0,2.0 +2074,1.0,1.0 +2075,3.0,6.0 +2076,1.0,6.0 +2077,1.0,4.0 +2078,1.0,2.0 +2079,0.0,5.0 +2080,1.0,2.0 +2081,4.0,3.0 +2082,6.0,4.0 +2083,1.0,4.0 +2084,0.0,3.0 +2085,0.0,2.0 +2086,2.0,4.0 +2087,1.0,7.0 +2088,1.0,3.0 +2089,3.0,8.0 +2090,2.0,2.0 +2091,3.0,4.0 +2092,3.0,5.0 +2093,5.0,2.0 +2094,1.0,1.0 +2095,0.0,4.0 +2096,4.0,3.0 +2097,3.0,0.0 +2098,0.0,6.0 +2099,2.0,6.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/924-peak+year_c.csv b/SurgeData/924-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/924-peak+year_c.csv rename to SurgeData/924-peak+year_c.csv diff --git a/SurgeData/N=1000/924-peak+year_w.csv b/SurgeData/924-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/924-peak+year_w.csv rename to SurgeData/924-peak+year_w.csv diff --git a/SurgeData/N=1000/924-peak_c.csv b/SurgeData/924-peak_c.csv similarity index 100% rename from SurgeData/N=1000/924-peak_c.csv rename to SurgeData/924-peak_c.csv diff --git a/SurgeData/N=1000/924-peak_w.csv b/SurgeData/924-peak_w.csv similarity index 100% rename from SurgeData/N=1000/924-peak_w.csv rename to SurgeData/924-peak_w.csv diff --git a/SurgeData/N=1000/924-surge_c.csv b/SurgeData/924-surge_c.csv similarity index 100% rename from SurgeData/N=1000/924-surge_c.csv rename to SurgeData/924-surge_c.csv diff --git a/SurgeData/N=1000/924-surge_w.csv b/SurgeData/924-surge_w.csv similarity index 100% rename from SurgeData/N=1000/924-surge_w.csv rename to SurgeData/924-surge_w.csv diff --git a/SurgeData/N=1000/924-time_c.csv b/SurgeData/924-time_c.csv similarity index 100% rename from SurgeData/N=1000/924-time_c.csv rename to SurgeData/924-time_c.csv diff --git a/SurgeData/N=1000/924-time_w.csv b/SurgeData/924-time_w.csv similarity index 100% rename from SurgeData/N=1000/924-time_w.csv rename to SurgeData/924-time_w.csv diff --git a/SurgeData/N=1000/924-waterlevel_c.csv b/SurgeData/924-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/924-waterlevel_c.csv rename to SurgeData/924-waterlevel_c.csv diff --git a/SurgeData/N=1000/924-waterlevel_w.csv b/SurgeData/924-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/924-waterlevel_w.csv rename to SurgeData/924-waterlevel_w.csv diff --git a/SurgeData/925-num_storm.csv b/SurgeData/925-num_storm.csv new file mode 100644 index 00000000..f630f8ab --- /dev/null +++ b/SurgeData/925-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,0.0,7.0 +2022,0.0,2.0 +2023,4.0,2.0 +2024,1.0,6.0 +2025,0.0,4.0 +2026,1.0,5.0 +2027,2.0,5.0 +2028,1.0,7.0 +2029,1.0,4.0 +2030,3.0,6.0 +2031,1.0,4.0 +2032,1.0,0.0 +2033,2.0,2.0 +2034,3.0,10.0 +2035,2.0,1.0 +2036,2.0,6.0 +2037,1.0,3.0 +2038,1.0,6.0 +2039,1.0,2.0 +2040,1.0,3.0 +2041,2.0,6.0 +2042,1.0,4.0 +2043,0.0,3.0 +2044,3.0,2.0 +2045,1.0,3.0 +2046,4.0,4.0 +2047,0.0,4.0 +2048,5.0,2.0 +2049,2.0,4.0 +2050,5.0,2.0 +2051,1.0,2.0 +2052,2.0,10.0 +2053,2.0,6.0 +2054,0.0,8.0 +2055,0.0,3.0 +2056,0.0,8.0 +2057,2.0,4.0 +2058,3.0,0.0 +2059,1.0,4.0 +2060,1.0,5.0 +2061,0.0,2.0 +2062,2.0,6.0 +2063,1.0,7.0 +2064,3.0,8.0 +2065,0.0,4.0 +2066,2.0,5.0 +2067,3.0,6.0 +2068,1.0,4.0 +2069,0.0,5.0 +2070,3.0,3.0 +2071,2.0,8.0 +2072,0.0,5.0 +2073,4.0,3.0 +2074,1.0,3.0 +2075,3.0,2.0 +2076,2.0,4.0 +2077,4.0,6.0 +2078,0.0,3.0 +2079,0.0,3.0 +2080,4.0,3.0 +2081,0.0,1.0 +2082,1.0,2.0 +2083,3.0,2.0 +2084,3.0,4.0 +2085,1.0,4.0 +2086,0.0,6.0 +2087,1.0,7.0 +2088,2.0,3.0 +2089,0.0,5.0 +2090,5.0,8.0 +2091,3.0,4.0 +2092,2.0,6.0 +2093,0.0,3.0 +2094,1.0,6.0 +2095,4.0,2.0 +2096,1.0,5.0 +2097,0.0,5.0 +2098,1.0,5.0 +2099,4.0,0.0 +2100,1.0,7.0 diff --git a/SurgeData/N=1000/925-peak+year_c.csv b/SurgeData/925-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/925-peak+year_c.csv rename to SurgeData/925-peak+year_c.csv diff --git a/SurgeData/N=1000/925-peak+year_w.csv b/SurgeData/925-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/925-peak+year_w.csv rename to SurgeData/925-peak+year_w.csv diff --git a/SurgeData/N=1000/925-peak_c.csv b/SurgeData/925-peak_c.csv similarity index 100% rename from SurgeData/N=1000/925-peak_c.csv rename to SurgeData/925-peak_c.csv diff --git a/SurgeData/N=1000/925-peak_w.csv b/SurgeData/925-peak_w.csv similarity index 100% rename from SurgeData/N=1000/925-peak_w.csv rename to SurgeData/925-peak_w.csv diff --git a/SurgeData/N=1000/925-surge_c.csv b/SurgeData/925-surge_c.csv similarity index 100% rename from SurgeData/N=1000/925-surge_c.csv rename to SurgeData/925-surge_c.csv diff --git a/SurgeData/N=1000/925-surge_w.csv b/SurgeData/925-surge_w.csv similarity index 100% rename from SurgeData/N=1000/925-surge_w.csv rename to SurgeData/925-surge_w.csv diff --git a/SurgeData/N=1000/925-time_c.csv b/SurgeData/925-time_c.csv similarity index 100% rename from SurgeData/N=1000/925-time_c.csv rename to SurgeData/925-time_c.csv diff --git a/SurgeData/N=1000/925-time_w.csv b/SurgeData/925-time_w.csv similarity index 100% rename from SurgeData/N=1000/925-time_w.csv rename to SurgeData/925-time_w.csv diff --git a/SurgeData/N=1000/925-waterlevel_c.csv b/SurgeData/925-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/925-waterlevel_c.csv rename to SurgeData/925-waterlevel_c.csv diff --git a/SurgeData/N=1000/925-waterlevel_w.csv b/SurgeData/925-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/925-waterlevel_w.csv rename to SurgeData/925-waterlevel_w.csv diff --git a/SurgeData/926-num_storm.csv b/SurgeData/926-num_storm.csv new file mode 100644 index 00000000..5b77658f --- /dev/null +++ b/SurgeData/926-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,6.0 +2022,3.0,7.0 +2023,0.0,2.0 +2024,0.0,5.0 +2025,2.0,5.0 +2026,1.0,4.0 +2027,1.0,3.0 +2028,1.0,4.0 +2029,2.0,5.0 +2030,1.0,3.0 +2031,3.0,3.0 +2032,3.0,1.0 +2033,2.0,3.0 +2034,3.0,5.0 +2035,3.0,4.0 +2036,1.0,3.0 +2037,2.0,6.0 +2038,0.0,1.0 +2039,2.0,7.0 +2040,2.0,5.0 +2041,0.0,3.0 +2042,1.0,2.0 +2043,0.0,3.0 +2044,2.0,7.0 +2045,1.0,6.0 +2046,1.0,5.0 +2047,3.0,4.0 +2048,0.0,2.0 +2049,0.0,7.0 +2050,0.0,1.0 +2051,1.0,7.0 +2052,1.0,4.0 +2053,0.0,2.0 +2054,2.0,3.0 +2055,1.0,11.0 +2056,2.0,3.0 +2057,4.0,4.0 +2058,2.0,5.0 +2059,2.0,3.0 +2060,2.0,7.0 +2061,0.0,11.0 +2062,5.0,4.0 +2063,2.0,3.0 +2064,3.0,4.0 +2065,1.0,1.0 +2066,2.0,4.0 +2067,0.0,2.0 +2068,3.0,2.0 +2069,1.0,5.0 +2070,1.0,5.0 +2071,2.0,1.0 +2072,1.0,3.0 +2073,1.0,4.0 +2074,1.0,2.0 +2075,3.0,3.0 +2076,1.0,3.0 +2077,2.0,5.0 +2078,2.0,7.0 +2079,1.0,1.0 +2080,2.0,8.0 +2081,1.0,1.0 +2082,0.0,2.0 +2083,1.0,2.0 +2084,2.0,3.0 +2085,2.0,6.0 +2086,2.0,5.0 +2087,1.0,4.0 +2088,2.0,3.0 +2089,2.0,2.0 +2090,0.0,2.0 +2091,3.0,7.0 +2092,2.0,3.0 +2093,0.0,3.0 +2094,0.0,5.0 +2095,1.0,2.0 +2096,1.0,3.0 +2097,1.0,7.0 +2098,3.0,4.0 +2099,0.0,5.0 +2100,3.0,4.0 diff --git a/SurgeData/N=1000/926-peak+year_c.csv b/SurgeData/926-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/926-peak+year_c.csv rename to SurgeData/926-peak+year_c.csv diff --git a/SurgeData/N=1000/926-peak+year_w.csv b/SurgeData/926-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/926-peak+year_w.csv rename to SurgeData/926-peak+year_w.csv diff --git a/SurgeData/N=1000/926-peak_c.csv b/SurgeData/926-peak_c.csv similarity index 100% rename from SurgeData/N=1000/926-peak_c.csv rename to SurgeData/926-peak_c.csv diff --git a/SurgeData/N=1000/926-peak_w.csv b/SurgeData/926-peak_w.csv similarity index 100% rename from SurgeData/N=1000/926-peak_w.csv rename to SurgeData/926-peak_w.csv diff --git a/SurgeData/N=1000/926-surge_c.csv b/SurgeData/926-surge_c.csv similarity index 100% rename from SurgeData/N=1000/926-surge_c.csv rename to SurgeData/926-surge_c.csv diff --git a/SurgeData/N=1000/926-surge_w.csv b/SurgeData/926-surge_w.csv similarity index 100% rename from SurgeData/N=1000/926-surge_w.csv rename to SurgeData/926-surge_w.csv diff --git a/SurgeData/N=1000/926-time_c.csv b/SurgeData/926-time_c.csv similarity index 100% rename from SurgeData/N=1000/926-time_c.csv rename to SurgeData/926-time_c.csv diff --git a/SurgeData/N=1000/926-time_w.csv b/SurgeData/926-time_w.csv similarity index 100% rename from SurgeData/N=1000/926-time_w.csv rename to SurgeData/926-time_w.csv diff --git a/SurgeData/N=1000/926-waterlevel_c.csv b/SurgeData/926-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/926-waterlevel_c.csv rename to SurgeData/926-waterlevel_c.csv diff --git a/SurgeData/N=1000/926-waterlevel_w.csv b/SurgeData/926-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/926-waterlevel_w.csv rename to SurgeData/926-waterlevel_w.csv diff --git a/SurgeData/927-num_storm.csv b/SurgeData/927-num_storm.csv new file mode 100644 index 00000000..dd77ef3d --- /dev/null +++ b/SurgeData/927-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,1.0,6.0 +2022,3.0,2.0 +2023,2.0,4.0 +2024,1.0,6.0 +2025,0.0,3.0 +2026,0.0,6.0 +2027,3.0,8.0 +2028,1.0,1.0 +2029,2.0,4.0 +2030,1.0,5.0 +2031,1.0,3.0 +2032,4.0,5.0 +2033,3.0,5.0 +2034,0.0,4.0 +2035,1.0,1.0 +2036,3.0,2.0 +2037,2.0,8.0 +2038,1.0,3.0 +2039,0.0,6.0 +2040,0.0,4.0 +2041,2.0,3.0 +2042,2.0,1.0 +2043,2.0,5.0 +2044,0.0,6.0 +2045,1.0,7.0 +2046,1.0,6.0 +2047,4.0,2.0 +2048,2.0,2.0 +2049,3.0,3.0 +2050,5.0,5.0 +2051,3.0,8.0 +2052,2.0,7.0 +2053,1.0,6.0 +2054,1.0,4.0 +2055,0.0,2.0 +2056,1.0,4.0 +2057,3.0,2.0 +2058,1.0,2.0 +2059,0.0,4.0 +2060,2.0,4.0 +2061,2.0,6.0 +2062,1.0,2.0 +2063,2.0,5.0 +2064,2.0,8.0 +2065,1.0,6.0 +2066,1.0,1.0 +2067,3.0,7.0 +2068,1.0,4.0 +2069,0.0,8.0 +2070,1.0,2.0 +2071,0.0,7.0 +2072,2.0,1.0 +2073,2.0,2.0 +2074,1.0,9.0 +2075,0.0,3.0 +2076,1.0,8.0 +2077,0.0,6.0 +2078,3.0,7.0 +2079,1.0,3.0 +2080,1.0,3.0 +2081,1.0,1.0 +2082,3.0,3.0 +2083,0.0,1.0 +2084,0.0,3.0 +2085,1.0,7.0 +2086,2.0,7.0 +2087,1.0,2.0 +2088,2.0,7.0 +2089,1.0,6.0 +2090,1.0,4.0 +2091,2.0,3.0 +2092,0.0,3.0 +2093,0.0,5.0 +2094,2.0,2.0 +2095,1.0,5.0 +2096,2.0,5.0 +2097,2.0,7.0 +2098,1.0,6.0 +2099,3.0,2.0 +2100,0.0,2.0 diff --git a/SurgeData/N=1000/927-peak+year_c.csv b/SurgeData/927-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/927-peak+year_c.csv rename to SurgeData/927-peak+year_c.csv diff --git a/SurgeData/N=1000/927-peak+year_w.csv b/SurgeData/927-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/927-peak+year_w.csv rename to SurgeData/927-peak+year_w.csv diff --git a/SurgeData/N=1000/927-peak_c.csv b/SurgeData/927-peak_c.csv similarity index 100% rename from SurgeData/N=1000/927-peak_c.csv rename to SurgeData/927-peak_c.csv diff --git a/SurgeData/N=1000/927-peak_w.csv b/SurgeData/927-peak_w.csv similarity index 100% rename from SurgeData/N=1000/927-peak_w.csv rename to SurgeData/927-peak_w.csv diff --git a/SurgeData/N=1000/927-surge_c.csv b/SurgeData/927-surge_c.csv similarity index 100% rename from SurgeData/N=1000/927-surge_c.csv rename to SurgeData/927-surge_c.csv diff --git a/SurgeData/N=1000/927-surge_w.csv b/SurgeData/927-surge_w.csv similarity index 100% rename from SurgeData/N=1000/927-surge_w.csv rename to SurgeData/927-surge_w.csv diff --git a/SurgeData/N=1000/927-time_c.csv b/SurgeData/927-time_c.csv similarity index 100% rename from SurgeData/N=1000/927-time_c.csv rename to SurgeData/927-time_c.csv diff --git a/SurgeData/N=1000/927-time_w.csv b/SurgeData/927-time_w.csv similarity index 100% rename from SurgeData/N=1000/927-time_w.csv rename to SurgeData/927-time_w.csv diff --git a/SurgeData/N=1000/927-waterlevel_c.csv b/SurgeData/927-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/927-waterlevel_c.csv rename to SurgeData/927-waterlevel_c.csv diff --git a/SurgeData/N=1000/927-waterlevel_w.csv b/SurgeData/927-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/927-waterlevel_w.csv rename to SurgeData/927-waterlevel_w.csv diff --git a/SurgeData/928-num_storm.csv b/SurgeData/928-num_storm.csv new file mode 100644 index 00000000..f61133fa --- /dev/null +++ b/SurgeData/928-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,2.0,2.0 +2022,2.0,9.0 +2023,2.0,7.0 +2024,3.0,1.0 +2025,0.0,3.0 +2026,0.0,2.0 +2027,1.0,6.0 +2028,0.0,2.0 +2029,4.0,5.0 +2030,1.0,3.0 +2031,4.0,9.0 +2032,0.0,2.0 +2033,2.0,2.0 +2034,5.0,8.0 +2035,0.0,5.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,3.0,4.0 +2039,1.0,6.0 +2040,1.0,1.0 +2041,1.0,3.0 +2042,0.0,6.0 +2043,1.0,3.0 +2044,2.0,3.0 +2045,4.0,4.0 +2046,1.0,6.0 +2047,0.0,6.0 +2048,1.0,5.0 +2049,0.0,6.0 +2050,3.0,5.0 +2051,0.0,2.0 +2052,2.0,2.0 +2053,0.0,4.0 +2054,1.0,3.0 +2055,2.0,4.0 +2056,2.0,6.0 +2057,1.0,3.0 +2058,1.0,9.0 +2059,1.0,6.0 +2060,3.0,3.0 +2061,0.0,5.0 +2062,1.0,0.0 +2063,0.0,1.0 +2064,1.0,1.0 +2065,2.0,6.0 +2066,0.0,2.0 +2067,0.0,2.0 +2068,2.0,5.0 +2069,1.0,4.0 +2070,1.0,3.0 +2071,0.0,3.0 +2072,3.0,2.0 +2073,3.0,5.0 +2074,1.0,3.0 +2075,1.0,8.0 +2076,1.0,2.0 +2077,2.0,3.0 +2078,0.0,3.0 +2079,2.0,4.0 +2080,1.0,2.0 +2081,3.0,9.0 +2082,1.0,3.0 +2083,2.0,6.0 +2084,2.0,1.0 +2085,1.0,3.0 +2086,1.0,3.0 +2087,0.0,2.0 +2088,4.0,2.0 +2089,2.0,3.0 +2090,2.0,6.0 +2091,2.0,7.0 +2092,1.0,3.0 +2093,2.0,4.0 +2094,0.0,9.0 +2095,3.0,3.0 +2096,2.0,3.0 +2097,1.0,5.0 +2098,2.0,8.0 +2099,1.0,4.0 +2100,3.0,7.0 diff --git a/SurgeData/N=1000/928-peak+year_c.csv b/SurgeData/928-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/928-peak+year_c.csv rename to SurgeData/928-peak+year_c.csv diff --git a/SurgeData/N=1000/928-peak+year_w.csv b/SurgeData/928-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/928-peak+year_w.csv rename to SurgeData/928-peak+year_w.csv diff --git a/SurgeData/N=1000/928-peak_c.csv b/SurgeData/928-peak_c.csv similarity index 100% rename from SurgeData/N=1000/928-peak_c.csv rename to SurgeData/928-peak_c.csv diff --git a/SurgeData/N=1000/928-peak_w.csv b/SurgeData/928-peak_w.csv similarity index 100% rename from SurgeData/N=1000/928-peak_w.csv rename to SurgeData/928-peak_w.csv diff --git a/SurgeData/N=1000/928-surge_c.csv b/SurgeData/928-surge_c.csv similarity index 100% rename from SurgeData/N=1000/928-surge_c.csv rename to SurgeData/928-surge_c.csv diff --git a/SurgeData/N=1000/928-surge_w.csv b/SurgeData/928-surge_w.csv similarity index 100% rename from SurgeData/N=1000/928-surge_w.csv rename to SurgeData/928-surge_w.csv diff --git a/SurgeData/N=1000/928-time_c.csv b/SurgeData/928-time_c.csv similarity index 100% rename from SurgeData/N=1000/928-time_c.csv rename to SurgeData/928-time_c.csv diff --git a/SurgeData/N=1000/928-time_w.csv b/SurgeData/928-time_w.csv similarity index 100% rename from SurgeData/N=1000/928-time_w.csv rename to SurgeData/928-time_w.csv diff --git a/SurgeData/N=1000/928-waterlevel_c.csv b/SurgeData/928-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/928-waterlevel_c.csv rename to SurgeData/928-waterlevel_c.csv diff --git a/SurgeData/N=1000/928-waterlevel_w.csv b/SurgeData/928-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/928-waterlevel_w.csv rename to SurgeData/928-waterlevel_w.csv diff --git a/SurgeData/929-num_storm.csv b/SurgeData/929-num_storm.csv new file mode 100644 index 00000000..af15b52a --- /dev/null +++ b/SurgeData/929-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,0.0,5.0 +2022,0.0,2.0 +2023,4.0,3.0 +2024,2.0,3.0 +2025,2.0,5.0 +2026,0.0,4.0 +2027,4.0,3.0 +2028,0.0,5.0 +2029,1.0,4.0 +2030,1.0,5.0 +2031,0.0,5.0 +2032,2.0,4.0 +2033,4.0,4.0 +2034,2.0,2.0 +2035,0.0,8.0 +2036,1.0,3.0 +2037,2.0,3.0 +2038,0.0,4.0 +2039,3.0,0.0 +2040,1.0,4.0 +2041,3.0,3.0 +2042,1.0,4.0 +2043,0.0,5.0 +2044,0.0,5.0 +2045,2.0,7.0 +2046,5.0,6.0 +2047,0.0,4.0 +2048,4.0,6.0 +2049,1.0,4.0 +2050,0.0,4.0 +2051,2.0,3.0 +2052,1.0,6.0 +2053,0.0,4.0 +2054,5.0,2.0 +2055,1.0,3.0 +2056,3.0,7.0 +2057,1.0,3.0 +2058,0.0,7.0 +2059,2.0,5.0 +2060,1.0,3.0 +2061,4.0,4.0 +2062,2.0,4.0 +2063,2.0,2.0 +2064,0.0,2.0 +2065,0.0,1.0 +2066,3.0,1.0 +2067,1.0,1.0 +2068,1.0,6.0 +2069,1.0,2.0 +2070,1.0,3.0 +2071,1.0,4.0 +2072,3.0,3.0 +2073,0.0,3.0 +2074,1.0,6.0 +2075,0.0,4.0 +2076,3.0,1.0 +2077,3.0,4.0 +2078,1.0,5.0 +2079,0.0,5.0 +2080,0.0,4.0 +2081,1.0,0.0 +2082,1.0,6.0 +2083,2.0,4.0 +2084,1.0,5.0 +2085,1.0,5.0 +2086,2.0,4.0 +2087,2.0,6.0 +2088,2.0,3.0 +2089,1.0,5.0 +2090,1.0,6.0 +2091,0.0,4.0 +2092,1.0,2.0 +2093,3.0,6.0 +2094,0.0,4.0 +2095,0.0,4.0 +2096,1.0,3.0 +2097,0.0,7.0 +2098,5.0,3.0 +2099,3.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/929-peak+year_c.csv b/SurgeData/929-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/929-peak+year_c.csv rename to SurgeData/929-peak+year_c.csv diff --git a/SurgeData/N=1000/929-peak+year_w.csv b/SurgeData/929-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/929-peak+year_w.csv rename to SurgeData/929-peak+year_w.csv diff --git a/SurgeData/N=1000/929-peak_c.csv b/SurgeData/929-peak_c.csv similarity index 100% rename from SurgeData/N=1000/929-peak_c.csv rename to SurgeData/929-peak_c.csv diff --git a/SurgeData/N=1000/929-peak_w.csv b/SurgeData/929-peak_w.csv similarity index 100% rename from SurgeData/N=1000/929-peak_w.csv rename to SurgeData/929-peak_w.csv diff --git a/SurgeData/N=1000/929-surge_c.csv b/SurgeData/929-surge_c.csv similarity index 100% rename from SurgeData/N=1000/929-surge_c.csv rename to SurgeData/929-surge_c.csv diff --git a/SurgeData/N=1000/929-surge_w.csv b/SurgeData/929-surge_w.csv similarity index 100% rename from SurgeData/N=1000/929-surge_w.csv rename to SurgeData/929-surge_w.csv diff --git a/SurgeData/N=1000/929-time_c.csv b/SurgeData/929-time_c.csv similarity index 100% rename from SurgeData/N=1000/929-time_c.csv rename to SurgeData/929-time_c.csv diff --git a/SurgeData/N=1000/929-time_w.csv b/SurgeData/929-time_w.csv similarity index 100% rename from SurgeData/N=1000/929-time_w.csv rename to SurgeData/929-time_w.csv diff --git a/SurgeData/N=1000/929-waterlevel_c.csv b/SurgeData/929-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/929-waterlevel_c.csv rename to SurgeData/929-waterlevel_c.csv diff --git a/SurgeData/N=1000/929-waterlevel_w.csv b/SurgeData/929-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/929-waterlevel_w.csv rename to SurgeData/929-waterlevel_w.csv diff --git a/SurgeData/93-num_storm.csv b/SurgeData/93-num_storm.csv new file mode 100644 index 00000000..7dc9c9b4 --- /dev/null +++ b/SurgeData/93-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,1.0,2.0 +2022,3.0,6.0 +2023,1.0,5.0 +2024,3.0,5.0 +2025,2.0,11.0 +2026,1.0,2.0 +2027,2.0,5.0 +2028,1.0,6.0 +2029,0.0,7.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,1.0,4.0 +2033,3.0,5.0 +2034,1.0,3.0 +2035,0.0,1.0 +2036,0.0,5.0 +2037,0.0,5.0 +2038,0.0,2.0 +2039,1.0,6.0 +2040,0.0,7.0 +2041,0.0,3.0 +2042,0.0,4.0 +2043,1.0,4.0 +2044,4.0,9.0 +2045,3.0,1.0 +2046,1.0,4.0 +2047,0.0,5.0 +2048,1.0,1.0 +2049,1.0,6.0 +2050,0.0,5.0 +2051,2.0,1.0 +2052,1.0,4.0 +2053,0.0,2.0 +2054,0.0,4.0 +2055,0.0,4.0 +2056,3.0,4.0 +2057,0.0,3.0 +2058,0.0,4.0 +2059,3.0,3.0 +2060,1.0,6.0 +2061,3.0,1.0 +2062,0.0,4.0 +2063,3.0,6.0 +2064,1.0,4.0 +2065,1.0,6.0 +2066,3.0,4.0 +2067,1.0,5.0 +2068,0.0,7.0 +2069,1.0,4.0 +2070,3.0,6.0 +2071,3.0,2.0 +2072,0.0,0.0 +2073,2.0,3.0 +2074,1.0,2.0 +2075,1.0,7.0 +2076,2.0,3.0 +2077,1.0,2.0 +2078,1.0,7.0 +2079,3.0,8.0 +2080,4.0,7.0 +2081,2.0,1.0 +2082,1.0,4.0 +2083,3.0,5.0 +2084,3.0,3.0 +2085,3.0,4.0 +2086,2.0,1.0 +2087,0.0,7.0 +2088,2.0,1.0 +2089,3.0,2.0 +2090,2.0,5.0 +2091,1.0,5.0 +2092,0.0,3.0 +2093,3.0,6.0 +2094,1.0,3.0 +2095,0.0,9.0 +2096,0.0,3.0 +2097,5.0,6.0 +2098,0.0,3.0 +2099,1.0,3.0 +2100,4.0,4.0 diff --git a/SurgeData/N=1000/93-peak+year_c.csv b/SurgeData/93-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/93-peak+year_c.csv rename to SurgeData/93-peak+year_c.csv diff --git a/SurgeData/N=1000/93-peak+year_w.csv b/SurgeData/93-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/93-peak+year_w.csv rename to SurgeData/93-peak+year_w.csv diff --git a/SurgeData/N=1000/93-peak_c.csv b/SurgeData/93-peak_c.csv similarity index 100% rename from SurgeData/N=1000/93-peak_c.csv rename to SurgeData/93-peak_c.csv diff --git a/SurgeData/N=1000/93-peak_w.csv b/SurgeData/93-peak_w.csv similarity index 100% rename from SurgeData/N=1000/93-peak_w.csv rename to SurgeData/93-peak_w.csv diff --git a/SurgeData/N=1000/93-surge_c.csv b/SurgeData/93-surge_c.csv similarity index 100% rename from SurgeData/N=1000/93-surge_c.csv rename to SurgeData/93-surge_c.csv diff --git a/SurgeData/N=1000/93-surge_w.csv b/SurgeData/93-surge_w.csv similarity index 100% rename from SurgeData/N=1000/93-surge_w.csv rename to SurgeData/93-surge_w.csv diff --git a/SurgeData/N=1000/93-time_c.csv b/SurgeData/93-time_c.csv similarity index 100% rename from SurgeData/N=1000/93-time_c.csv rename to SurgeData/93-time_c.csv diff --git a/SurgeData/N=1000/93-time_w.csv b/SurgeData/93-time_w.csv similarity index 100% rename from SurgeData/N=1000/93-time_w.csv rename to SurgeData/93-time_w.csv diff --git a/SurgeData/N=1000/93-waterlevel_c.csv b/SurgeData/93-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/93-waterlevel_c.csv rename to SurgeData/93-waterlevel_c.csv diff --git a/SurgeData/N=1000/93-waterlevel_w.csv b/SurgeData/93-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/93-waterlevel_w.csv rename to SurgeData/93-waterlevel_w.csv diff --git a/SurgeData/N=1000/930-peak+year_c.csv b/SurgeData/930-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/930-peak+year_c.csv rename to SurgeData/930-peak+year_c.csv diff --git a/SurgeData/N=1000/930-peak+year_w.csv b/SurgeData/930-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/930-peak+year_w.csv rename to SurgeData/930-peak+year_w.csv diff --git a/SurgeData/N=1000/930-peak_c.csv b/SurgeData/930-peak_c.csv similarity index 100% rename from SurgeData/N=1000/930-peak_c.csv rename to SurgeData/930-peak_c.csv diff --git a/SurgeData/N=1000/930-peak_w.csv b/SurgeData/930-peak_w.csv similarity index 100% rename from SurgeData/N=1000/930-peak_w.csv rename to SurgeData/930-peak_w.csv diff --git a/SurgeData/N=1000/930-surge_c.csv b/SurgeData/930-surge_c.csv similarity index 100% rename from SurgeData/N=1000/930-surge_c.csv rename to SurgeData/930-surge_c.csv diff --git a/SurgeData/N=1000/930-surge_w.csv b/SurgeData/930-surge_w.csv similarity index 100% rename from SurgeData/N=1000/930-surge_w.csv rename to SurgeData/930-surge_w.csv diff --git a/SurgeData/N=1000/930-time_c.csv b/SurgeData/930-time_c.csv similarity index 100% rename from SurgeData/N=1000/930-time_c.csv rename to SurgeData/930-time_c.csv diff --git a/SurgeData/N=1000/930-time_w.csv b/SurgeData/930-time_w.csv similarity index 100% rename from SurgeData/N=1000/930-time_w.csv rename to SurgeData/930-time_w.csv diff --git a/SurgeData/N=1000/930-waterlevel_c.csv b/SurgeData/930-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/930-waterlevel_c.csv rename to SurgeData/930-waterlevel_c.csv diff --git a/SurgeData/N=1000/930-waterlevel_w.csv b/SurgeData/930-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/930-waterlevel_w.csv rename to SurgeData/930-waterlevel_w.csv diff --git a/SurgeData/931-num_storm.csv b/SurgeData/931-num_storm.csv new file mode 100644 index 00000000..1656fc81 --- /dev/null +++ b/SurgeData/931-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,2.0,6.0 +2022,1.0,5.0 +2023,2.0,4.0 +2024,2.0,3.0 +2025,0.0,6.0 +2026,1.0,2.0 +2027,4.0,8.0 +2028,3.0,3.0 +2029,2.0,4.0 +2030,0.0,2.0 +2031,0.0,5.0 +2032,0.0,2.0 +2033,0.0,0.0 +2034,1.0,2.0 +2035,0.0,2.0 +2036,1.0,11.0 +2037,1.0,2.0 +2038,0.0,6.0 +2039,2.0,5.0 +2040,0.0,5.0 +2041,4.0,1.0 +2042,1.0,4.0 +2043,1.0,2.0 +2044,0.0,3.0 +2045,1.0,5.0 +2046,0.0,2.0 +2047,2.0,3.0 +2048,1.0,4.0 +2049,4.0,4.0 +2050,0.0,1.0 +2051,0.0,3.0 +2052,1.0,7.0 +2053,3.0,3.0 +2054,2.0,4.0 +2055,1.0,2.0 +2056,0.0,5.0 +2057,4.0,2.0 +2058,3.0,6.0 +2059,1.0,2.0 +2060,0.0,5.0 +2061,1.0,2.0 +2062,0.0,5.0 +2063,2.0,1.0 +2064,2.0,5.0 +2065,4.0,3.0 +2066,2.0,3.0 +2067,1.0,6.0 +2068,0.0,0.0 +2069,2.0,4.0 +2070,2.0,0.0 +2071,0.0,3.0 +2072,3.0,5.0 +2073,3.0,3.0 +2074,1.0,3.0 +2075,2.0,9.0 +2076,1.0,5.0 +2077,2.0,7.0 +2078,0.0,3.0 +2079,1.0,5.0 +2080,0.0,6.0 +2081,2.0,3.0 +2082,0.0,6.0 +2083,0.0,4.0 +2084,1.0,7.0 +2085,1.0,11.0 +2086,1.0,5.0 +2087,3.0,2.0 +2088,1.0,3.0 +2089,1.0,2.0 +2090,1.0,4.0 +2091,3.0,4.0 +2092,1.0,6.0 +2093,4.0,6.0 +2094,1.0,5.0 +2095,2.0,7.0 +2096,2.0,2.0 +2097,1.0,4.0 +2098,1.0,2.0 +2099,3.0,6.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/931-peak+year_c.csv b/SurgeData/931-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/931-peak+year_c.csv rename to SurgeData/931-peak+year_c.csv diff --git a/SurgeData/N=1000/931-peak+year_w.csv b/SurgeData/931-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/931-peak+year_w.csv rename to SurgeData/931-peak+year_w.csv diff --git a/SurgeData/N=1000/931-peak_c.csv b/SurgeData/931-peak_c.csv similarity index 100% rename from SurgeData/N=1000/931-peak_c.csv rename to SurgeData/931-peak_c.csv diff --git a/SurgeData/N=1000/931-peak_w.csv b/SurgeData/931-peak_w.csv similarity index 100% rename from SurgeData/N=1000/931-peak_w.csv rename to SurgeData/931-peak_w.csv diff --git a/SurgeData/N=1000/931-surge_c.csv b/SurgeData/931-surge_c.csv similarity index 100% rename from SurgeData/N=1000/931-surge_c.csv rename to SurgeData/931-surge_c.csv diff --git a/SurgeData/N=1000/931-surge_w.csv b/SurgeData/931-surge_w.csv similarity index 100% rename from SurgeData/N=1000/931-surge_w.csv rename to SurgeData/931-surge_w.csv diff --git a/SurgeData/N=1000/931-time_c.csv b/SurgeData/931-time_c.csv similarity index 100% rename from SurgeData/N=1000/931-time_c.csv rename to SurgeData/931-time_c.csv diff --git a/SurgeData/N=1000/931-time_w.csv b/SurgeData/931-time_w.csv similarity index 100% rename from SurgeData/N=1000/931-time_w.csv rename to SurgeData/931-time_w.csv diff --git a/SurgeData/N=1000/931-waterlevel_c.csv b/SurgeData/931-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/931-waterlevel_c.csv rename to SurgeData/931-waterlevel_c.csv diff --git a/SurgeData/N=1000/931-waterlevel_w.csv b/SurgeData/931-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/931-waterlevel_w.csv rename to SurgeData/931-waterlevel_w.csv diff --git a/SurgeData/932-num_storm.csv b/SurgeData/932-num_storm.csv new file mode 100644 index 00000000..274b1f9b --- /dev/null +++ b/SurgeData/932-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,8.0 +2021,2.0,3.0 +2022,1.0,3.0 +2023,2.0,9.0 +2024,1.0,2.0 +2025,0.0,4.0 +2026,3.0,9.0 +2027,2.0,4.0 +2028,2.0,6.0 +2029,3.0,3.0 +2030,2.0,5.0 +2031,0.0,1.0 +2032,2.0,3.0 +2033,1.0,3.0 +2034,0.0,5.0 +2035,2.0,5.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,1.0,5.0 +2039,0.0,5.0 +2040,2.0,4.0 +2041,0.0,2.0 +2042,0.0,2.0 +2043,0.0,3.0 +2044,2.0,5.0 +2045,1.0,3.0 +2046,2.0,5.0 +2047,1.0,3.0 +2048,1.0,6.0 +2049,0.0,3.0 +2050,2.0,3.0 +2051,1.0,3.0 +2052,2.0,7.0 +2053,0.0,3.0 +2054,2.0,2.0 +2055,1.0,5.0 +2056,1.0,4.0 +2057,2.0,3.0 +2058,6.0,4.0 +2059,2.0,6.0 +2060,1.0,4.0 +2061,3.0,1.0 +2062,1.0,3.0 +2063,2.0,4.0 +2064,3.0,5.0 +2065,1.0,4.0 +2066,1.0,4.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,0.0,5.0 +2070,4.0,5.0 +2071,3.0,3.0 +2072,0.0,3.0 +2073,2.0,4.0 +2074,2.0,9.0 +2075,0.0,7.0 +2076,0.0,5.0 +2077,1.0,5.0 +2078,3.0,2.0 +2079,2.0,3.0 +2080,2.0,12.0 +2081,2.0,2.0 +2082,3.0,4.0 +2083,0.0,4.0 +2084,1.0,4.0 +2085,4.0,3.0 +2086,0.0,2.0 +2087,0.0,2.0 +2088,2.0,7.0 +2089,0.0,2.0 +2090,2.0,2.0 +2091,0.0,3.0 +2092,1.0,5.0 +2093,1.0,3.0 +2094,5.0,7.0 +2095,1.0,3.0 +2096,0.0,3.0 +2097,1.0,5.0 +2098,0.0,1.0 +2099,2.0,3.0 +2100,2.0,7.0 diff --git a/SurgeData/N=1000/932-peak+year_c.csv b/SurgeData/932-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/932-peak+year_c.csv rename to SurgeData/932-peak+year_c.csv diff --git a/SurgeData/N=1000/932-peak+year_w.csv b/SurgeData/932-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/932-peak+year_w.csv rename to SurgeData/932-peak+year_w.csv diff --git a/SurgeData/N=1000/932-peak_c.csv b/SurgeData/932-peak_c.csv similarity index 100% rename from SurgeData/N=1000/932-peak_c.csv rename to SurgeData/932-peak_c.csv diff --git a/SurgeData/N=1000/932-peak_w.csv b/SurgeData/932-peak_w.csv similarity index 100% rename from SurgeData/N=1000/932-peak_w.csv rename to SurgeData/932-peak_w.csv diff --git a/SurgeData/N=1000/932-surge_c.csv b/SurgeData/932-surge_c.csv similarity index 100% rename from SurgeData/N=1000/932-surge_c.csv rename to SurgeData/932-surge_c.csv diff --git a/SurgeData/N=1000/932-surge_w.csv b/SurgeData/932-surge_w.csv similarity index 100% rename from SurgeData/N=1000/932-surge_w.csv rename to SurgeData/932-surge_w.csv diff --git a/SurgeData/N=1000/932-time_c.csv b/SurgeData/932-time_c.csv similarity index 100% rename from SurgeData/N=1000/932-time_c.csv rename to SurgeData/932-time_c.csv diff --git a/SurgeData/N=1000/932-time_w.csv b/SurgeData/932-time_w.csv similarity index 100% rename from SurgeData/N=1000/932-time_w.csv rename to SurgeData/932-time_w.csv diff --git a/SurgeData/N=1000/932-waterlevel_c.csv b/SurgeData/932-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/932-waterlevel_c.csv rename to SurgeData/932-waterlevel_c.csv diff --git a/SurgeData/N=1000/932-waterlevel_w.csv b/SurgeData/932-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/932-waterlevel_w.csv rename to SurgeData/932-waterlevel_w.csv diff --git a/SurgeData/933-num_storm.csv b/SurgeData/933-num_storm.csv new file mode 100644 index 00000000..db9572ee --- /dev/null +++ b/SurgeData/933-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,4.0,4.0 +2022,2.0,7.0 +2023,2.0,5.0 +2024,1.0,2.0 +2025,3.0,7.0 +2026,0.0,4.0 +2027,1.0,5.0 +2028,3.0,2.0 +2029,0.0,2.0 +2030,1.0,6.0 +2031,1.0,3.0 +2032,0.0,5.0 +2033,2.0,3.0 +2034,2.0,5.0 +2035,1.0,4.0 +2036,2.0,10.0 +2037,3.0,3.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,0.0,3.0 +2041,0.0,5.0 +2042,2.0,4.0 +2043,2.0,7.0 +2044,2.0,4.0 +2045,2.0,3.0 +2046,0.0,5.0 +2047,0.0,4.0 +2048,2.0,5.0 +2049,2.0,4.0 +2050,0.0,0.0 +2051,2.0,4.0 +2052,0.0,1.0 +2053,1.0,6.0 +2054,3.0,5.0 +2055,0.0,2.0 +2056,0.0,3.0 +2057,5.0,6.0 +2058,1.0,3.0 +2059,0.0,5.0 +2060,0.0,7.0 +2061,1.0,6.0 +2062,0.0,1.0 +2063,0.0,5.0 +2064,0.0,2.0 +2065,2.0,4.0 +2066,0.0,4.0 +2067,6.0,2.0 +2068,0.0,5.0 +2069,4.0,6.0 +2070,2.0,4.0 +2071,2.0,3.0 +2072,0.0,4.0 +2073,1.0,1.0 +2074,2.0,3.0 +2075,3.0,8.0 +2076,1.0,6.0 +2077,0.0,3.0 +2078,0.0,7.0 +2079,1.0,3.0 +2080,1.0,4.0 +2081,0.0,3.0 +2082,1.0,3.0 +2083,1.0,5.0 +2084,4.0,5.0 +2085,0.0,5.0 +2086,1.0,4.0 +2087,4.0,3.0 +2088,4.0,2.0 +2089,1.0,3.0 +2090,2.0,6.0 +2091,5.0,2.0 +2092,1.0,8.0 +2093,3.0,5.0 +2094,2.0,3.0 +2095,1.0,1.0 +2096,0.0,4.0 +2097,1.0,3.0 +2098,0.0,4.0 +2099,2.0,2.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/933-peak+year_c.csv b/SurgeData/933-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/933-peak+year_c.csv rename to SurgeData/933-peak+year_c.csv diff --git a/SurgeData/N=1000/933-peak+year_w.csv b/SurgeData/933-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/933-peak+year_w.csv rename to SurgeData/933-peak+year_w.csv diff --git a/SurgeData/N=1000/933-peak_c.csv b/SurgeData/933-peak_c.csv similarity index 100% rename from SurgeData/N=1000/933-peak_c.csv rename to SurgeData/933-peak_c.csv diff --git a/SurgeData/N=1000/933-peak_w.csv b/SurgeData/933-peak_w.csv similarity index 100% rename from SurgeData/N=1000/933-peak_w.csv rename to SurgeData/933-peak_w.csv diff --git a/SurgeData/N=1000/933-surge_c.csv b/SurgeData/933-surge_c.csv similarity index 100% rename from SurgeData/N=1000/933-surge_c.csv rename to SurgeData/933-surge_c.csv diff --git a/SurgeData/N=1000/933-surge_w.csv b/SurgeData/933-surge_w.csv similarity index 100% rename from SurgeData/N=1000/933-surge_w.csv rename to SurgeData/933-surge_w.csv diff --git a/SurgeData/N=1000/933-time_c.csv b/SurgeData/933-time_c.csv similarity index 100% rename from SurgeData/N=1000/933-time_c.csv rename to SurgeData/933-time_c.csv diff --git a/SurgeData/N=1000/933-time_w.csv b/SurgeData/933-time_w.csv similarity index 100% rename from SurgeData/N=1000/933-time_w.csv rename to SurgeData/933-time_w.csv diff --git a/SurgeData/N=1000/933-waterlevel_c.csv b/SurgeData/933-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/933-waterlevel_c.csv rename to SurgeData/933-waterlevel_c.csv diff --git a/SurgeData/N=1000/933-waterlevel_w.csv b/SurgeData/933-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/933-waterlevel_w.csv rename to SurgeData/933-waterlevel_w.csv diff --git a/SurgeData/934-num_storm.csv b/SurgeData/934-num_storm.csv new file mode 100644 index 00000000..4fb7cc83 --- /dev/null +++ b/SurgeData/934-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,5.0 +2021,1.0,9.0 +2022,0.0,5.0 +2023,2.0,3.0 +2024,0.0,6.0 +2025,2.0,4.0 +2026,1.0,4.0 +2027,2.0,6.0 +2028,2.0,4.0 +2029,3.0,3.0 +2030,0.0,5.0 +2031,1.0,6.0 +2032,2.0,2.0 +2033,2.0,3.0 +2034,4.0,5.0 +2035,2.0,2.0 +2036,2.0,2.0 +2037,1.0,6.0 +2038,3.0,4.0 +2039,0.0,4.0 +2040,0.0,4.0 +2041,1.0,4.0 +2042,1.0,7.0 +2043,1.0,1.0 +2044,1.0,7.0 +2045,0.0,3.0 +2046,3.0,8.0 +2047,1.0,2.0 +2048,1.0,3.0 +2049,2.0,2.0 +2050,3.0,4.0 +2051,1.0,3.0 +2052,0.0,4.0 +2053,2.0,5.0 +2054,2.0,3.0 +2055,1.0,2.0 +2056,4.0,5.0 +2057,0.0,3.0 +2058,1.0,2.0 +2059,1.0,11.0 +2060,1.0,2.0 +2061,2.0,7.0 +2062,2.0,5.0 +2063,4.0,5.0 +2064,1.0,2.0 +2065,1.0,3.0 +2066,1.0,3.0 +2067,4.0,4.0 +2068,1.0,4.0 +2069,2.0,5.0 +2070,2.0,5.0 +2071,2.0,5.0 +2072,1.0,2.0 +2073,3.0,2.0 +2074,0.0,2.0 +2075,2.0,4.0 +2076,0.0,4.0 +2077,1.0,6.0 +2078,3.0,5.0 +2079,0.0,1.0 +2080,1.0,1.0 +2081,2.0,5.0 +2082,1.0,3.0 +2083,0.0,4.0 +2084,2.0,5.0 +2085,2.0,3.0 +2086,0.0,3.0 +2087,3.0,4.0 +2088,1.0,6.0 +2089,2.0,1.0 +2090,5.0,2.0 +2091,3.0,2.0 +2092,3.0,5.0 +2093,4.0,6.0 +2094,0.0,2.0 +2095,1.0,4.0 +2096,2.0,7.0 +2097,2.0,4.0 +2098,1.0,6.0 +2099,4.0,5.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/934-peak+year_c.csv b/SurgeData/934-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/934-peak+year_c.csv rename to SurgeData/934-peak+year_c.csv diff --git a/SurgeData/N=1000/934-peak+year_w.csv b/SurgeData/934-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/934-peak+year_w.csv rename to SurgeData/934-peak+year_w.csv diff --git a/SurgeData/N=1000/934-peak_c.csv b/SurgeData/934-peak_c.csv similarity index 100% rename from SurgeData/N=1000/934-peak_c.csv rename to SurgeData/934-peak_c.csv diff --git a/SurgeData/N=1000/934-peak_w.csv b/SurgeData/934-peak_w.csv similarity index 100% rename from SurgeData/N=1000/934-peak_w.csv rename to SurgeData/934-peak_w.csv diff --git a/SurgeData/N=1000/934-surge_c.csv b/SurgeData/934-surge_c.csv similarity index 100% rename from SurgeData/N=1000/934-surge_c.csv rename to SurgeData/934-surge_c.csv diff --git a/SurgeData/N=1000/934-surge_w.csv b/SurgeData/934-surge_w.csv similarity index 100% rename from SurgeData/N=1000/934-surge_w.csv rename to SurgeData/934-surge_w.csv diff --git a/SurgeData/N=1000/934-time_c.csv b/SurgeData/934-time_c.csv similarity index 100% rename from SurgeData/N=1000/934-time_c.csv rename to SurgeData/934-time_c.csv diff --git a/SurgeData/N=1000/934-time_w.csv b/SurgeData/934-time_w.csv similarity index 100% rename from SurgeData/N=1000/934-time_w.csv rename to SurgeData/934-time_w.csv diff --git a/SurgeData/N=1000/934-waterlevel_c.csv b/SurgeData/934-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/934-waterlevel_c.csv rename to SurgeData/934-waterlevel_c.csv diff --git a/SurgeData/N=1000/934-waterlevel_w.csv b/SurgeData/934-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/934-waterlevel_w.csv rename to SurgeData/934-waterlevel_w.csv diff --git a/SurgeData/935-num_storm.csv b/SurgeData/935-num_storm.csv new file mode 100644 index 00000000..279f678b --- /dev/null +++ b/SurgeData/935-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,3.0,4.0 +2022,3.0,4.0 +2023,2.0,3.0 +2024,1.0,2.0 +2025,1.0,4.0 +2026,1.0,3.0 +2027,2.0,1.0 +2028,3.0,6.0 +2029,3.0,2.0 +2030,1.0,6.0 +2031,1.0,6.0 +2032,4.0,2.0 +2033,2.0,3.0 +2034,2.0,2.0 +2035,0.0,10.0 +2036,2.0,4.0 +2037,3.0,1.0 +2038,1.0,1.0 +2039,4.0,5.0 +2040,1.0,5.0 +2041,1.0,2.0 +2042,0.0,1.0 +2043,0.0,3.0 +2044,1.0,1.0 +2045,0.0,9.0 +2046,3.0,5.0 +2047,2.0,1.0 +2048,2.0,3.0 +2049,1.0,7.0 +2050,2.0,4.0 +2051,2.0,3.0 +2052,3.0,6.0 +2053,3.0,4.0 +2054,2.0,4.0 +2055,0.0,6.0 +2056,2.0,3.0 +2057,2.0,2.0 +2058,1.0,5.0 +2059,0.0,2.0 +2060,2.0,7.0 +2061,1.0,8.0 +2062,2.0,4.0 +2063,2.0,2.0 +2064,1.0,7.0 +2065,6.0,4.0 +2066,1.0,3.0 +2067,1.0,5.0 +2068,2.0,3.0 +2069,1.0,5.0 +2070,1.0,6.0 +2071,2.0,2.0 +2072,3.0,5.0 +2073,3.0,3.0 +2074,3.0,5.0 +2075,3.0,2.0 +2076,0.0,3.0 +2077,2.0,4.0 +2078,0.0,2.0 +2079,0.0,3.0 +2080,3.0,5.0 +2081,1.0,6.0 +2082,0.0,8.0 +2083,2.0,4.0 +2084,1.0,2.0 +2085,0.0,5.0 +2086,2.0,2.0 +2087,2.0,5.0 +2088,1.0,2.0 +2089,1.0,4.0 +2090,0.0,11.0 +2091,3.0,1.0 +2092,3.0,3.0 +2093,0.0,6.0 +2094,0.0,1.0 +2095,3.0,5.0 +2096,1.0,3.0 +2097,1.0,5.0 +2098,0.0,5.0 +2099,1.0,8.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/935-peak+year_c.csv b/SurgeData/935-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/935-peak+year_c.csv rename to SurgeData/935-peak+year_c.csv diff --git a/SurgeData/N=1000/935-peak+year_w.csv b/SurgeData/935-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/935-peak+year_w.csv rename to SurgeData/935-peak+year_w.csv diff --git a/SurgeData/N=1000/935-peak_c.csv b/SurgeData/935-peak_c.csv similarity index 100% rename from SurgeData/N=1000/935-peak_c.csv rename to SurgeData/935-peak_c.csv diff --git a/SurgeData/N=1000/935-peak_w.csv b/SurgeData/935-peak_w.csv similarity index 100% rename from SurgeData/N=1000/935-peak_w.csv rename to SurgeData/935-peak_w.csv diff --git a/SurgeData/N=1000/935-surge_c.csv b/SurgeData/935-surge_c.csv similarity index 100% rename from SurgeData/N=1000/935-surge_c.csv rename to SurgeData/935-surge_c.csv diff --git a/SurgeData/N=1000/935-surge_w.csv b/SurgeData/935-surge_w.csv similarity index 100% rename from SurgeData/N=1000/935-surge_w.csv rename to SurgeData/935-surge_w.csv diff --git a/SurgeData/N=1000/935-time_c.csv b/SurgeData/935-time_c.csv similarity index 100% rename from SurgeData/N=1000/935-time_c.csv rename to SurgeData/935-time_c.csv diff --git a/SurgeData/N=1000/935-time_w.csv b/SurgeData/935-time_w.csv similarity index 100% rename from SurgeData/N=1000/935-time_w.csv rename to SurgeData/935-time_w.csv diff --git a/SurgeData/N=1000/935-waterlevel_c.csv b/SurgeData/935-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/935-waterlevel_c.csv rename to SurgeData/935-waterlevel_c.csv diff --git a/SurgeData/N=1000/935-waterlevel_w.csv b/SurgeData/935-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/935-waterlevel_w.csv rename to SurgeData/935-waterlevel_w.csv diff --git a/SurgeData/936-num_storm.csv b/SurgeData/936-num_storm.csv new file mode 100644 index 00000000..9c5b9f29 --- /dev/null +++ b/SurgeData/936-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,7.0 +2021,2.0,6.0 +2022,1.0,6.0 +2023,2.0,3.0 +2024,1.0,3.0 +2025,0.0,6.0 +2026,0.0,4.0 +2027,0.0,7.0 +2028,2.0,5.0 +2029,3.0,3.0 +2030,2.0,2.0 +2031,0.0,4.0 +2032,3.0,7.0 +2033,1.0,3.0 +2034,3.0,2.0 +2035,2.0,5.0 +2036,1.0,7.0 +2037,2.0,9.0 +2038,0.0,4.0 +2039,0.0,3.0 +2040,0.0,6.0 +2041,1.0,7.0 +2042,1.0,4.0 +2043,1.0,4.0 +2044,1.0,8.0 +2045,0.0,2.0 +2046,2.0,5.0 +2047,0.0,3.0 +2048,1.0,7.0 +2049,0.0,3.0 +2050,1.0,3.0 +2051,1.0,8.0 +2052,1.0,3.0 +2053,2.0,4.0 +2054,1.0,4.0 +2055,3.0,4.0 +2056,1.0,5.0 +2057,2.0,3.0 +2058,3.0,8.0 +2059,3.0,3.0 +2060,4.0,5.0 +2061,2.0,2.0 +2062,0.0,0.0 +2063,1.0,4.0 +2064,0.0,6.0 +2065,1.0,6.0 +2066,2.0,5.0 +2067,2.0,6.0 +2068,3.0,9.0 +2069,3.0,3.0 +2070,1.0,9.0 +2071,0.0,2.0 +2072,0.0,2.0 +2073,1.0,0.0 +2074,0.0,3.0 +2075,2.0,1.0 +2076,2.0,2.0 +2077,1.0,3.0 +2078,0.0,2.0 +2079,2.0,5.0 +2080,1.0,1.0 +2081,2.0,8.0 +2082,1.0,2.0 +2083,3.0,3.0 +2084,2.0,5.0 +2085,2.0,5.0 +2086,3.0,2.0 +2087,1.0,5.0 +2088,2.0,3.0 +2089,2.0,6.0 +2090,2.0,0.0 +2091,1.0,4.0 +2092,0.0,4.0 +2093,3.0,6.0 +2094,3.0,5.0 +2095,1.0,5.0 +2096,0.0,4.0 +2097,2.0,5.0 +2098,0.0,1.0 +2099,5.0,7.0 +2100,3.0,2.0 diff --git a/SurgeData/N=1000/936-peak+year_c.csv b/SurgeData/936-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/936-peak+year_c.csv rename to SurgeData/936-peak+year_c.csv diff --git a/SurgeData/N=1000/936-peak+year_w.csv b/SurgeData/936-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/936-peak+year_w.csv rename to SurgeData/936-peak+year_w.csv diff --git a/SurgeData/N=1000/936-peak_c.csv b/SurgeData/936-peak_c.csv similarity index 100% rename from SurgeData/N=1000/936-peak_c.csv rename to SurgeData/936-peak_c.csv diff --git a/SurgeData/N=1000/936-peak_w.csv b/SurgeData/936-peak_w.csv similarity index 100% rename from SurgeData/N=1000/936-peak_w.csv rename to SurgeData/936-peak_w.csv diff --git a/SurgeData/N=1000/936-surge_c.csv b/SurgeData/936-surge_c.csv similarity index 100% rename from SurgeData/N=1000/936-surge_c.csv rename to SurgeData/936-surge_c.csv diff --git a/SurgeData/N=1000/936-surge_w.csv b/SurgeData/936-surge_w.csv similarity index 100% rename from SurgeData/N=1000/936-surge_w.csv rename to SurgeData/936-surge_w.csv diff --git a/SurgeData/N=1000/936-time_c.csv b/SurgeData/936-time_c.csv similarity index 100% rename from SurgeData/N=1000/936-time_c.csv rename to SurgeData/936-time_c.csv diff --git a/SurgeData/N=1000/936-time_w.csv b/SurgeData/936-time_w.csv similarity index 100% rename from SurgeData/N=1000/936-time_w.csv rename to SurgeData/936-time_w.csv diff --git a/SurgeData/N=1000/936-waterlevel_c.csv b/SurgeData/936-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/936-waterlevel_c.csv rename to SurgeData/936-waterlevel_c.csv diff --git a/SurgeData/N=1000/936-waterlevel_w.csv b/SurgeData/936-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/936-waterlevel_w.csv rename to SurgeData/936-waterlevel_w.csv diff --git a/SurgeData/N=1000/937-peak+year_c.csv b/SurgeData/937-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/937-peak+year_c.csv rename to SurgeData/937-peak+year_c.csv diff --git a/SurgeData/N=1000/937-peak+year_w.csv b/SurgeData/937-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/937-peak+year_w.csv rename to SurgeData/937-peak+year_w.csv diff --git a/SurgeData/N=1000/937-peak_c.csv b/SurgeData/937-peak_c.csv similarity index 100% rename from SurgeData/N=1000/937-peak_c.csv rename to SurgeData/937-peak_c.csv diff --git a/SurgeData/N=1000/937-peak_w.csv b/SurgeData/937-peak_w.csv similarity index 100% rename from SurgeData/N=1000/937-peak_w.csv rename to SurgeData/937-peak_w.csv diff --git a/SurgeData/N=1000/937-surge_c.csv b/SurgeData/937-surge_c.csv similarity index 100% rename from SurgeData/N=1000/937-surge_c.csv rename to SurgeData/937-surge_c.csv diff --git a/SurgeData/N=1000/937-surge_w.csv b/SurgeData/937-surge_w.csv similarity index 100% rename from SurgeData/N=1000/937-surge_w.csv rename to SurgeData/937-surge_w.csv diff --git a/SurgeData/N=1000/937-time_c.csv b/SurgeData/937-time_c.csv similarity index 100% rename from SurgeData/N=1000/937-time_c.csv rename to SurgeData/937-time_c.csv diff --git a/SurgeData/N=1000/937-time_w.csv b/SurgeData/937-time_w.csv similarity index 100% rename from SurgeData/N=1000/937-time_w.csv rename to SurgeData/937-time_w.csv diff --git a/SurgeData/N=1000/937-waterlevel_c.csv b/SurgeData/937-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/937-waterlevel_c.csv rename to SurgeData/937-waterlevel_c.csv diff --git a/SurgeData/N=1000/937-waterlevel_w.csv b/SurgeData/937-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/937-waterlevel_w.csv rename to SurgeData/937-waterlevel_w.csv diff --git a/SurgeData/938-num_storm.csv b/SurgeData/938-num_storm.csv new file mode 100644 index 00000000..c0fa83e0 --- /dev/null +++ b/SurgeData/938-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,3.0 +2022,2.0,5.0 +2023,0.0,4.0 +2024,2.0,0.0 +2025,1.0,3.0 +2026,1.0,6.0 +2027,3.0,4.0 +2028,0.0,3.0 +2029,1.0,4.0 +2030,1.0,2.0 +2031,0.0,2.0 +2032,0.0,4.0 +2033,1.0,2.0 +2034,1.0,8.0 +2035,1.0,4.0 +2036,4.0,3.0 +2037,2.0,4.0 +2038,1.0,3.0 +2039,0.0,5.0 +2040,3.0,2.0 +2041,2.0,3.0 +2042,2.0,5.0 +2043,1.0,3.0 +2044,2.0,5.0 +2045,1.0,3.0 +2046,1.0,4.0 +2047,0.0,6.0 +2048,2.0,5.0 +2049,0.0,3.0 +2050,4.0,4.0 +2051,1.0,6.0 +2052,2.0,5.0 +2053,2.0,3.0 +2054,0.0,3.0 +2055,1.0,4.0 +2056,1.0,3.0 +2057,2.0,4.0 +2058,0.0,2.0 +2059,1.0,3.0 +2060,2.0,2.0 +2061,0.0,4.0 +2062,1.0,3.0 +2063,1.0,8.0 +2064,1.0,5.0 +2065,1.0,2.0 +2066,3.0,3.0 +2067,1.0,4.0 +2068,1.0,3.0 +2069,0.0,5.0 +2070,1.0,4.0 +2071,2.0,5.0 +2072,3.0,8.0 +2073,3.0,3.0 +2074,2.0,4.0 +2075,0.0,6.0 +2076,1.0,7.0 +2077,2.0,2.0 +2078,1.0,6.0 +2079,2.0,3.0 +2080,2.0,5.0 +2081,0.0,4.0 +2082,3.0,8.0 +2083,2.0,2.0 +2084,1.0,5.0 +2085,1.0,3.0 +2086,3.0,4.0 +2087,5.0,2.0 +2088,1.0,4.0 +2089,0.0,4.0 +2090,1.0,6.0 +2091,2.0,3.0 +2092,1.0,6.0 +2093,3.0,5.0 +2094,1.0,7.0 +2095,2.0,3.0 +2096,2.0,4.0 +2097,1.0,9.0 +2098,2.0,2.0 +2099,2.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/938-peak+year_c.csv b/SurgeData/938-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/938-peak+year_c.csv rename to SurgeData/938-peak+year_c.csv diff --git a/SurgeData/N=1000/938-peak+year_w.csv b/SurgeData/938-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/938-peak+year_w.csv rename to SurgeData/938-peak+year_w.csv diff --git a/SurgeData/N=1000/938-peak_c.csv b/SurgeData/938-peak_c.csv similarity index 100% rename from SurgeData/N=1000/938-peak_c.csv rename to SurgeData/938-peak_c.csv diff --git a/SurgeData/N=1000/938-peak_w.csv b/SurgeData/938-peak_w.csv similarity index 100% rename from SurgeData/N=1000/938-peak_w.csv rename to SurgeData/938-peak_w.csv diff --git a/SurgeData/N=1000/938-surge_c.csv b/SurgeData/938-surge_c.csv similarity index 100% rename from SurgeData/N=1000/938-surge_c.csv rename to SurgeData/938-surge_c.csv diff --git a/SurgeData/N=1000/938-surge_w.csv b/SurgeData/938-surge_w.csv similarity index 100% rename from SurgeData/N=1000/938-surge_w.csv rename to SurgeData/938-surge_w.csv diff --git a/SurgeData/N=1000/938-time_c.csv b/SurgeData/938-time_c.csv similarity index 100% rename from SurgeData/N=1000/938-time_c.csv rename to SurgeData/938-time_c.csv diff --git a/SurgeData/N=1000/938-time_w.csv b/SurgeData/938-time_w.csv similarity index 100% rename from SurgeData/N=1000/938-time_w.csv rename to SurgeData/938-time_w.csv diff --git a/SurgeData/N=1000/938-waterlevel_c.csv b/SurgeData/938-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/938-waterlevel_c.csv rename to SurgeData/938-waterlevel_c.csv diff --git a/SurgeData/N=1000/938-waterlevel_w.csv b/SurgeData/938-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/938-waterlevel_w.csv rename to SurgeData/938-waterlevel_w.csv diff --git a/SurgeData/939-num_storm.csv b/SurgeData/939-num_storm.csv new file mode 100644 index 00000000..e6f9f114 --- /dev/null +++ b/SurgeData/939-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,3.0 +2022,0.0,4.0 +2023,0.0,4.0 +2024,1.0,6.0 +2025,1.0,3.0 +2026,0.0,2.0 +2027,1.0,3.0 +2028,2.0,2.0 +2029,4.0,5.0 +2030,5.0,6.0 +2031,4.0,4.0 +2032,1.0,3.0 +2033,0.0,1.0 +2034,0.0,6.0 +2035,2.0,4.0 +2036,1.0,1.0 +2037,2.0,1.0 +2038,2.0,3.0 +2039,0.0,3.0 +2040,0.0,4.0 +2041,3.0,6.0 +2042,1.0,5.0 +2043,0.0,6.0 +2044,0.0,3.0 +2045,2.0,11.0 +2046,1.0,4.0 +2047,1.0,3.0 +2048,3.0,5.0 +2049,1.0,3.0 +2050,4.0,5.0 +2051,3.0,6.0 +2052,1.0,6.0 +2053,1.0,5.0 +2054,1.0,4.0 +2055,0.0,2.0 +2056,1.0,5.0 +2057,0.0,5.0 +2058,1.0,6.0 +2059,0.0,1.0 +2060,1.0,5.0 +2061,0.0,1.0 +2062,1.0,3.0 +2063,2.0,6.0 +2064,2.0,3.0 +2065,1.0,4.0 +2066,0.0,3.0 +2067,4.0,4.0 +2068,4.0,1.0 +2069,0.0,8.0 +2070,1.0,5.0 +2071,1.0,4.0 +2072,1.0,6.0 +2073,1.0,1.0 +2074,2.0,4.0 +2075,3.0,6.0 +2076,2.0,1.0 +2077,0.0,5.0 +2078,4.0,5.0 +2079,0.0,5.0 +2080,1.0,4.0 +2081,1.0,4.0 +2082,4.0,3.0 +2083,3.0,3.0 +2084,3.0,4.0 +2085,2.0,6.0 +2086,0.0,6.0 +2087,4.0,1.0 +2088,2.0,3.0 +2089,1.0,4.0 +2090,3.0,5.0 +2091,3.0,5.0 +2092,2.0,4.0 +2093,0.0,6.0 +2094,0.0,7.0 +2095,1.0,6.0 +2096,1.0,7.0 +2097,1.0,4.0 +2098,2.0,4.0 +2099,4.0,1.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/939-peak+year_c.csv b/SurgeData/939-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/939-peak+year_c.csv rename to SurgeData/939-peak+year_c.csv diff --git a/SurgeData/N=1000/939-peak+year_w.csv b/SurgeData/939-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/939-peak+year_w.csv rename to SurgeData/939-peak+year_w.csv diff --git a/SurgeData/N=1000/939-peak_c.csv b/SurgeData/939-peak_c.csv similarity index 100% rename from SurgeData/N=1000/939-peak_c.csv rename to SurgeData/939-peak_c.csv diff --git a/SurgeData/N=1000/939-peak_w.csv b/SurgeData/939-peak_w.csv similarity index 100% rename from SurgeData/N=1000/939-peak_w.csv rename to SurgeData/939-peak_w.csv diff --git a/SurgeData/N=1000/939-surge_c.csv b/SurgeData/939-surge_c.csv similarity index 100% rename from SurgeData/N=1000/939-surge_c.csv rename to SurgeData/939-surge_c.csv diff --git a/SurgeData/N=1000/939-surge_w.csv b/SurgeData/939-surge_w.csv similarity index 100% rename from SurgeData/N=1000/939-surge_w.csv rename to SurgeData/939-surge_w.csv diff --git a/SurgeData/N=1000/939-time_c.csv b/SurgeData/939-time_c.csv similarity index 100% rename from SurgeData/N=1000/939-time_c.csv rename to SurgeData/939-time_c.csv diff --git a/SurgeData/N=1000/939-time_w.csv b/SurgeData/939-time_w.csv similarity index 100% rename from SurgeData/N=1000/939-time_w.csv rename to SurgeData/939-time_w.csv diff --git a/SurgeData/N=1000/939-waterlevel_c.csv b/SurgeData/939-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/939-waterlevel_c.csv rename to SurgeData/939-waterlevel_c.csv diff --git a/SurgeData/N=1000/939-waterlevel_w.csv b/SurgeData/939-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/939-waterlevel_w.csv rename to SurgeData/939-waterlevel_w.csv diff --git a/SurgeData/94-num_storm.csv b/SurgeData/94-num_storm.csv new file mode 100644 index 00000000..6ae2dcde --- /dev/null +++ b/SurgeData/94-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,1.0,1.0 +2022,0.0,5.0 +2023,1.0,5.0 +2024,2.0,5.0 +2025,3.0,1.0 +2026,1.0,7.0 +2027,0.0,4.0 +2028,0.0,3.0 +2029,2.0,4.0 +2030,0.0,4.0 +2031,1.0,1.0 +2032,3.0,4.0 +2033,2.0,3.0 +2034,4.0,0.0 +2035,2.0,5.0 +2036,2.0,5.0 +2037,0.0,4.0 +2038,0.0,2.0 +2039,0.0,4.0 +2040,1.0,4.0 +2041,1.0,2.0 +2042,0.0,3.0 +2043,1.0,4.0 +2044,3.0,6.0 +2045,0.0,3.0 +2046,2.0,6.0 +2047,1.0,1.0 +2048,0.0,6.0 +2049,0.0,5.0 +2050,1.0,2.0 +2051,2.0,3.0 +2052,2.0,3.0 +2053,1.0,4.0 +2054,1.0,8.0 +2055,1.0,5.0 +2056,4.0,3.0 +2057,1.0,6.0 +2058,2.0,2.0 +2059,3.0,8.0 +2060,1.0,3.0 +2061,2.0,4.0 +2062,0.0,3.0 +2063,3.0,5.0 +2064,2.0,4.0 +2065,0.0,5.0 +2066,0.0,3.0 +2067,0.0,8.0 +2068,3.0,8.0 +2069,0.0,5.0 +2070,2.0,4.0 +2071,1.0,6.0 +2072,3.0,5.0 +2073,0.0,5.0 +2074,3.0,2.0 +2075,2.0,2.0 +2076,4.0,6.0 +2077,2.0,9.0 +2078,1.0,5.0 +2079,3.0,2.0 +2080,0.0,1.0 +2081,3.0,3.0 +2082,0.0,6.0 +2083,0.0,4.0 +2084,1.0,2.0 +2085,1.0,6.0 +2086,4.0,2.0 +2087,1.0,3.0 +2088,0.0,9.0 +2089,2.0,1.0 +2090,0.0,8.0 +2091,1.0,4.0 +2092,0.0,1.0 +2093,1.0,2.0 +2094,1.0,0.0 +2095,3.0,7.0 +2096,0.0,5.0 +2097,1.0,5.0 +2098,0.0,3.0 +2099,2.0,2.0 +2100,4.0,3.0 diff --git a/SurgeData/N=1000/94-peak+year_c.csv b/SurgeData/94-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/94-peak+year_c.csv rename to SurgeData/94-peak+year_c.csv diff --git a/SurgeData/N=1000/94-peak+year_w.csv b/SurgeData/94-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/94-peak+year_w.csv rename to SurgeData/94-peak+year_w.csv diff --git a/SurgeData/N=1000/94-peak_c.csv b/SurgeData/94-peak_c.csv similarity index 100% rename from SurgeData/N=1000/94-peak_c.csv rename to SurgeData/94-peak_c.csv diff --git a/SurgeData/N=1000/94-peak_w.csv b/SurgeData/94-peak_w.csv similarity index 100% rename from SurgeData/N=1000/94-peak_w.csv rename to SurgeData/94-peak_w.csv diff --git a/SurgeData/N=1000/94-surge_c.csv b/SurgeData/94-surge_c.csv similarity index 100% rename from SurgeData/N=1000/94-surge_c.csv rename to SurgeData/94-surge_c.csv diff --git a/SurgeData/N=1000/94-surge_w.csv b/SurgeData/94-surge_w.csv similarity index 100% rename from SurgeData/N=1000/94-surge_w.csv rename to SurgeData/94-surge_w.csv diff --git a/SurgeData/N=1000/94-time_c.csv b/SurgeData/94-time_c.csv similarity index 100% rename from SurgeData/N=1000/94-time_c.csv rename to SurgeData/94-time_c.csv diff --git a/SurgeData/N=1000/94-time_w.csv b/SurgeData/94-time_w.csv similarity index 100% rename from SurgeData/N=1000/94-time_w.csv rename to SurgeData/94-time_w.csv diff --git a/SurgeData/N=1000/94-waterlevel_c.csv b/SurgeData/94-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/94-waterlevel_c.csv rename to SurgeData/94-waterlevel_c.csv diff --git a/SurgeData/N=1000/94-waterlevel_w.csv b/SurgeData/94-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/94-waterlevel_w.csv rename to SurgeData/94-waterlevel_w.csv diff --git a/SurgeData/N=1000/940-peak+year_c.csv b/SurgeData/940-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/940-peak+year_c.csv rename to SurgeData/940-peak+year_c.csv diff --git a/SurgeData/N=1000/940-peak+year_w.csv b/SurgeData/940-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/940-peak+year_w.csv rename to SurgeData/940-peak+year_w.csv diff --git a/SurgeData/N=1000/940-peak_c.csv b/SurgeData/940-peak_c.csv similarity index 100% rename from SurgeData/N=1000/940-peak_c.csv rename to SurgeData/940-peak_c.csv diff --git a/SurgeData/N=1000/940-peak_w.csv b/SurgeData/940-peak_w.csv similarity index 100% rename from SurgeData/N=1000/940-peak_w.csv rename to SurgeData/940-peak_w.csv diff --git a/SurgeData/N=1000/940-surge_c.csv b/SurgeData/940-surge_c.csv similarity index 100% rename from SurgeData/N=1000/940-surge_c.csv rename to SurgeData/940-surge_c.csv diff --git a/SurgeData/N=1000/940-surge_w.csv b/SurgeData/940-surge_w.csv similarity index 100% rename from SurgeData/N=1000/940-surge_w.csv rename to SurgeData/940-surge_w.csv diff --git a/SurgeData/N=1000/940-time_c.csv b/SurgeData/940-time_c.csv similarity index 100% rename from SurgeData/N=1000/940-time_c.csv rename to SurgeData/940-time_c.csv diff --git a/SurgeData/N=1000/940-time_w.csv b/SurgeData/940-time_w.csv similarity index 100% rename from SurgeData/N=1000/940-time_w.csv rename to SurgeData/940-time_w.csv diff --git a/SurgeData/N=1000/940-waterlevel_c.csv b/SurgeData/940-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/940-waterlevel_c.csv rename to SurgeData/940-waterlevel_c.csv diff --git a/SurgeData/N=1000/940-waterlevel_w.csv b/SurgeData/940-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/940-waterlevel_w.csv rename to SurgeData/940-waterlevel_w.csv diff --git a/SurgeData/941-num_storm.csv b/SurgeData/941-num_storm.csv new file mode 100644 index 00000000..d660fc0a --- /dev/null +++ b/SurgeData/941-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,1.0,0.0 +2022,3.0,2.0 +2023,2.0,7.0 +2024,3.0,3.0 +2025,2.0,4.0 +2026,2.0,1.0 +2027,3.0,11.0 +2028,4.0,2.0 +2029,1.0,4.0 +2030,0.0,5.0 +2031,1.0,3.0 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a/SurgeData/N=1000/941-peak+year_c.csv b/SurgeData/941-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/941-peak+year_c.csv rename to SurgeData/941-peak+year_c.csv diff --git a/SurgeData/N=1000/941-peak+year_w.csv b/SurgeData/941-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/941-peak+year_w.csv rename to SurgeData/941-peak+year_w.csv diff --git a/SurgeData/N=1000/941-peak_c.csv b/SurgeData/941-peak_c.csv similarity index 100% rename from SurgeData/N=1000/941-peak_c.csv rename to SurgeData/941-peak_c.csv diff --git a/SurgeData/N=1000/941-peak_w.csv b/SurgeData/941-peak_w.csv similarity index 100% rename from SurgeData/N=1000/941-peak_w.csv rename to SurgeData/941-peak_w.csv diff --git a/SurgeData/N=1000/941-surge_c.csv b/SurgeData/941-surge_c.csv similarity index 100% rename from SurgeData/N=1000/941-surge_c.csv rename to SurgeData/941-surge_c.csv diff --git a/SurgeData/N=1000/941-surge_w.csv b/SurgeData/941-surge_w.csv similarity index 100% rename from SurgeData/N=1000/941-surge_w.csv rename to SurgeData/941-surge_w.csv diff --git a/SurgeData/N=1000/941-time_c.csv b/SurgeData/941-time_c.csv similarity index 100% rename from SurgeData/N=1000/941-time_c.csv rename to SurgeData/941-time_c.csv diff --git a/SurgeData/N=1000/941-time_w.csv b/SurgeData/941-time_w.csv similarity index 100% rename from SurgeData/N=1000/941-time_w.csv rename to SurgeData/941-time_w.csv diff --git a/SurgeData/N=1000/941-waterlevel_c.csv b/SurgeData/941-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/941-waterlevel_c.csv rename to SurgeData/941-waterlevel_c.csv diff --git a/SurgeData/N=1000/941-waterlevel_w.csv b/SurgeData/941-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/941-waterlevel_w.csv rename to SurgeData/941-waterlevel_w.csv diff --git a/SurgeData/942-num_storm.csv b/SurgeData/942-num_storm.csv new file mode 100644 index 00000000..7f062bb0 --- /dev/null +++ b/SurgeData/942-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,2.0,3.0 +2022,2.0,3.0 +2023,4.0,7.0 +2024,1.0,1.0 +2025,0.0,6.0 +2026,0.0,3.0 +2027,0.0,7.0 +2028,3.0,2.0 +2029,3.0,1.0 +2030,1.0,4.0 +2031,2.0,8.0 +2032,0.0,6.0 +2033,2.0,1.0 +2034,2.0,3.0 +2035,5.0,2.0 +2036,3.0,5.0 +2037,1.0,3.0 +2038,4.0,6.0 +2039,2.0,4.0 +2040,0.0,1.0 +2041,2.0,3.0 +2042,1.0,8.0 +2043,3.0,5.0 +2044,1.0,2.0 +2045,2.0,3.0 +2046,2.0,5.0 +2047,2.0,4.0 +2048,3.0,2.0 +2049,1.0,5.0 +2050,2.0,6.0 +2051,4.0,2.0 +2052,1.0,7.0 +2053,1.0,3.0 +2054,0.0,4.0 +2055,2.0,3.0 +2056,3.0,4.0 +2057,2.0,3.0 +2058,0.0,6.0 +2059,1.0,8.0 +2060,2.0,4.0 +2061,3.0,5.0 +2062,2.0,5.0 +2063,2.0,6.0 +2064,1.0,2.0 +2065,3.0,5.0 +2066,2.0,7.0 +2067,1.0,2.0 +2068,0.0,3.0 +2069,0.0,6.0 +2070,2.0,3.0 +2071,1.0,4.0 +2072,5.0,4.0 +2073,0.0,2.0 +2074,2.0,2.0 +2075,2.0,2.0 +2076,2.0,1.0 +2077,1.0,6.0 +2078,1.0,6.0 +2079,2.0,7.0 +2080,3.0,4.0 +2081,0.0,1.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,0.0,2.0 +2085,0.0,2.0 +2086,2.0,3.0 +2087,3.0,6.0 +2088,0.0,5.0 +2089,2.0,4.0 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SurgeData/N=1000/942-surge_c.csv rename to SurgeData/942-surge_c.csv diff --git a/SurgeData/N=1000/942-surge_w.csv b/SurgeData/942-surge_w.csv similarity index 100% rename from SurgeData/N=1000/942-surge_w.csv rename to SurgeData/942-surge_w.csv diff --git a/SurgeData/N=1000/942-time_c.csv b/SurgeData/942-time_c.csv similarity index 100% rename from SurgeData/N=1000/942-time_c.csv rename to SurgeData/942-time_c.csv diff --git a/SurgeData/N=1000/942-time_w.csv b/SurgeData/942-time_w.csv similarity index 100% rename from SurgeData/N=1000/942-time_w.csv rename to SurgeData/942-time_w.csv diff --git a/SurgeData/N=1000/942-waterlevel_c.csv b/SurgeData/942-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/942-waterlevel_c.csv rename to SurgeData/942-waterlevel_c.csv diff --git a/SurgeData/N=1000/942-waterlevel_w.csv b/SurgeData/942-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/942-waterlevel_w.csv rename to SurgeData/942-waterlevel_w.csv diff --git a/SurgeData/943-num_storm.csv b/SurgeData/943-num_storm.csv new file mode 100644 index 00000000..ae07043e --- /dev/null +++ b/SurgeData/943-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,4.0,3.0 +2021,0.0,4.0 +2022,1.0,6.0 +2023,2.0,7.0 +2024,2.0,5.0 +2025,0.0,9.0 +2026,2.0,6.0 +2027,0.0,3.0 +2028,1.0,1.0 +2029,3.0,5.0 +2030,4.0,5.0 +2031,4.0,2.0 +2032,3.0,4.0 +2033,3.0,3.0 +2034,1.0,5.0 +2035,3.0,4.0 +2036,0.0,8.0 +2037,5.0,4.0 +2038,1.0,6.0 +2039,2.0,4.0 +2040,1.0,4.0 +2041,0.0,7.0 +2042,1.0,7.0 +2043,0.0,4.0 +2044,1.0,4.0 +2045,2.0,1.0 +2046,1.0,6.0 +2047,1.0,3.0 +2048,3.0,5.0 +2049,3.0,9.0 +2050,1.0,4.0 +2051,0.0,2.0 +2052,0.0,7.0 +2053,1.0,5.0 +2054,0.0,4.0 +2055,3.0,4.0 +2056,0.0,5.0 +2057,2.0,9.0 +2058,1.0,3.0 +2059,0.0,4.0 +2060,4.0,3.0 +2061,2.0,4.0 +2062,0.0,6.0 +2063,3.0,5.0 +2064,1.0,3.0 +2065,0.0,5.0 +2066,0.0,5.0 +2067,2.0,6.0 +2068,2.0,7.0 +2069,0.0,5.0 +2070,1.0,2.0 +2071,1.0,5.0 +2072,1.0,4.0 +2073,4.0,5.0 +2074,4.0,5.0 +2075,2.0,0.0 +2076,2.0,3.0 +2077,0.0,4.0 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SurgeData/N=1000/943-peak_w.csv rename to SurgeData/943-peak_w.csv diff --git a/SurgeData/N=1000/943-surge_c.csv b/SurgeData/943-surge_c.csv similarity index 100% rename from SurgeData/N=1000/943-surge_c.csv rename to SurgeData/943-surge_c.csv diff --git a/SurgeData/N=1000/943-surge_w.csv b/SurgeData/943-surge_w.csv similarity index 100% rename from SurgeData/N=1000/943-surge_w.csv rename to SurgeData/943-surge_w.csv diff --git a/SurgeData/N=1000/943-time_c.csv b/SurgeData/943-time_c.csv similarity index 100% rename from SurgeData/N=1000/943-time_c.csv rename to SurgeData/943-time_c.csv diff --git a/SurgeData/N=1000/943-time_w.csv b/SurgeData/943-time_w.csv similarity index 100% rename from SurgeData/N=1000/943-time_w.csv rename to SurgeData/943-time_w.csv diff --git a/SurgeData/N=1000/943-waterlevel_c.csv b/SurgeData/943-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/943-waterlevel_c.csv rename to SurgeData/943-waterlevel_c.csv diff --git a/SurgeData/N=1000/943-waterlevel_w.csv b/SurgeData/943-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/943-waterlevel_w.csv rename to SurgeData/943-waterlevel_w.csv diff --git a/SurgeData/944-num_storm.csv b/SurgeData/944-num_storm.csv new file mode 100644 index 00000000..e2f0ac48 --- /dev/null +++ b/SurgeData/944-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,1.0,2.0 +2022,1.0,8.0 +2023,1.0,4.0 +2024,1.0,3.0 +2025,3.0,6.0 +2026,2.0,9.0 +2027,2.0,5.0 +2028,1.0,3.0 +2029,1.0,6.0 +2030,5.0,5.0 +2031,2.0,2.0 +2032,0.0,5.0 +2033,0.0,4.0 +2034,0.0,8.0 +2035,2.0,5.0 +2036,2.0,6.0 +2037,1.0,8.0 +2038,3.0,6.0 +2039,3.0,5.0 +2040,1.0,1.0 +2041,1.0,5.0 +2042,1.0,1.0 +2043,1.0,5.0 +2044,1.0,4.0 +2045,3.0,3.0 +2046,2.0,4.0 +2047,0.0,3.0 +2048,0.0,4.0 +2049,1.0,5.0 +2050,0.0,3.0 +2051,0.0,5.0 +2052,1.0,5.0 +2053,2.0,1.0 +2054,1.0,5.0 +2055,4.0,5.0 +2056,2.0,4.0 +2057,2.0,3.0 +2058,0.0,4.0 +2059,0.0,3.0 +2060,1.0,4.0 +2061,3.0,4.0 +2062,2.0,9.0 +2063,2.0,5.0 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rename from SurgeData/N=1000/944-peak_c.csv rename to SurgeData/944-peak_c.csv diff --git a/SurgeData/N=1000/944-peak_w.csv b/SurgeData/944-peak_w.csv similarity index 100% rename from SurgeData/N=1000/944-peak_w.csv rename to SurgeData/944-peak_w.csv diff --git a/SurgeData/N=1000/944-surge_c.csv b/SurgeData/944-surge_c.csv similarity index 100% rename from SurgeData/N=1000/944-surge_c.csv rename to SurgeData/944-surge_c.csv diff --git a/SurgeData/N=1000/944-surge_w.csv b/SurgeData/944-surge_w.csv similarity index 100% rename from SurgeData/N=1000/944-surge_w.csv rename to SurgeData/944-surge_w.csv diff --git a/SurgeData/N=1000/944-time_c.csv b/SurgeData/944-time_c.csv similarity index 100% rename from SurgeData/N=1000/944-time_c.csv rename to SurgeData/944-time_c.csv diff --git a/SurgeData/N=1000/944-time_w.csv b/SurgeData/944-time_w.csv similarity index 100% rename from SurgeData/N=1000/944-time_w.csv rename to SurgeData/944-time_w.csv diff --git a/SurgeData/N=1000/944-waterlevel_c.csv b/SurgeData/944-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/944-waterlevel_c.csv rename to SurgeData/944-waterlevel_c.csv diff --git a/SurgeData/N=1000/944-waterlevel_w.csv b/SurgeData/944-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/944-waterlevel_w.csv rename to SurgeData/944-waterlevel_w.csv diff --git a/SurgeData/945-num_storm.csv b/SurgeData/945-num_storm.csv new file mode 100644 index 00000000..287ce6c2 --- /dev/null +++ b/SurgeData/945-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,0.0,4.0 +2022,1.0,4.0 +2023,1.0,4.0 +2024,2.0,3.0 +2025,2.0,1.0 +2026,2.0,4.0 +2027,1.0,3.0 +2028,2.0,3.0 +2029,0.0,6.0 +2030,0.0,6.0 +2031,1.0,3.0 +2032,1.0,3.0 +2033,0.0,5.0 +2034,0.0,7.0 +2035,1.0,3.0 +2036,0.0,4.0 +2037,0.0,4.0 +2038,4.0,4.0 +2039,2.0,2.0 +2040,1.0,4.0 +2041,1.0,6.0 +2042,2.0,4.0 +2043,0.0,2.0 +2044,1.0,4.0 +2045,0.0,2.0 +2046,2.0,2.0 +2047,3.0,2.0 +2048,0.0,3.0 +2049,0.0,3.0 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index 100% rename from SurgeData/N=1000/945-peak+year_w.csv rename to SurgeData/945-peak+year_w.csv diff --git a/SurgeData/N=1000/945-peak_c.csv b/SurgeData/945-peak_c.csv similarity index 100% rename from SurgeData/N=1000/945-peak_c.csv rename to SurgeData/945-peak_c.csv diff --git a/SurgeData/N=1000/945-peak_w.csv b/SurgeData/945-peak_w.csv similarity index 100% rename from SurgeData/N=1000/945-peak_w.csv rename to SurgeData/945-peak_w.csv diff --git a/SurgeData/N=1000/945-surge_c.csv b/SurgeData/945-surge_c.csv similarity index 100% rename from SurgeData/N=1000/945-surge_c.csv rename to SurgeData/945-surge_c.csv diff --git a/SurgeData/N=1000/945-surge_w.csv b/SurgeData/945-surge_w.csv similarity index 100% rename from SurgeData/N=1000/945-surge_w.csv rename to SurgeData/945-surge_w.csv diff --git a/SurgeData/N=1000/945-time_c.csv b/SurgeData/945-time_c.csv similarity index 100% rename from SurgeData/N=1000/945-time_c.csv rename to SurgeData/945-time_c.csv diff --git a/SurgeData/N=1000/945-time_w.csv b/SurgeData/945-time_w.csv similarity index 100% rename from SurgeData/N=1000/945-time_w.csv rename to SurgeData/945-time_w.csv diff --git a/SurgeData/N=1000/945-waterlevel_c.csv b/SurgeData/945-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/945-waterlevel_c.csv rename to SurgeData/945-waterlevel_c.csv diff --git a/SurgeData/N=1000/945-waterlevel_w.csv b/SurgeData/945-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/945-waterlevel_w.csv rename to SurgeData/945-waterlevel_w.csv diff --git a/SurgeData/N=1000/946-peak+year_c.csv b/SurgeData/946-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/946-peak+year_c.csv rename to SurgeData/946-peak+year_c.csv diff --git a/SurgeData/N=1000/946-peak+year_w.csv b/SurgeData/946-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/946-peak+year_w.csv rename to SurgeData/946-peak+year_w.csv diff --git a/SurgeData/N=1000/946-peak_c.csv b/SurgeData/946-peak_c.csv similarity index 100% rename from SurgeData/N=1000/946-peak_c.csv rename to SurgeData/946-peak_c.csv diff --git a/SurgeData/N=1000/946-peak_w.csv b/SurgeData/946-peak_w.csv similarity index 100% rename from SurgeData/N=1000/946-peak_w.csv rename to SurgeData/946-peak_w.csv diff --git a/SurgeData/N=1000/946-surge_c.csv b/SurgeData/946-surge_c.csv similarity index 100% rename from SurgeData/N=1000/946-surge_c.csv rename to SurgeData/946-surge_c.csv diff --git a/SurgeData/N=1000/946-surge_w.csv b/SurgeData/946-surge_w.csv similarity index 100% rename from SurgeData/N=1000/946-surge_w.csv rename to SurgeData/946-surge_w.csv diff --git a/SurgeData/N=1000/946-time_c.csv b/SurgeData/946-time_c.csv similarity index 100% rename from SurgeData/N=1000/946-time_c.csv rename to SurgeData/946-time_c.csv diff --git a/SurgeData/N=1000/946-time_w.csv b/SurgeData/946-time_w.csv similarity index 100% rename from SurgeData/N=1000/946-time_w.csv rename to SurgeData/946-time_w.csv diff --git a/SurgeData/N=1000/946-waterlevel_c.csv b/SurgeData/946-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/946-waterlevel_c.csv rename to SurgeData/946-waterlevel_c.csv diff --git a/SurgeData/N=1000/946-waterlevel_w.csv b/SurgeData/946-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/946-waterlevel_w.csv rename to SurgeData/946-waterlevel_w.csv diff --git a/SurgeData/947-num_storm.csv b/SurgeData/947-num_storm.csv new file mode 100644 index 00000000..6e36e6be --- /dev/null +++ b/SurgeData/947-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,2.0,8.0 +2022,4.0,5.0 +2023,2.0,5.0 +2024,1.0,6.0 +2025,0.0,3.0 +2026,1.0,5.0 +2027,2.0,2.0 +2028,0.0,5.0 +2029,2.0,3.0 +2030,2.0,3.0 +2031,3.0,5.0 +2032,6.0,5.0 +2033,1.0,5.0 +2034,0.0,6.0 +2035,1.0,2.0 +2036,2.0,5.0 +2037,0.0,4.0 +2038,1.0,4.0 +2039,1.0,6.0 +2040,3.0,2.0 +2041,1.0,0.0 +2042,1.0,2.0 +2043,3.0,3.0 +2044,4.0,0.0 +2045,0.0,5.0 +2046,1.0,4.0 +2047,3.0,5.0 +2048,1.0,4.0 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b/SurgeData/947-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/947-peak+year_w.csv rename to SurgeData/947-peak+year_w.csv diff --git a/SurgeData/N=1000/947-peak_c.csv b/SurgeData/947-peak_c.csv similarity index 100% rename from SurgeData/N=1000/947-peak_c.csv rename to SurgeData/947-peak_c.csv diff --git a/SurgeData/N=1000/947-peak_w.csv b/SurgeData/947-peak_w.csv similarity index 100% rename from SurgeData/N=1000/947-peak_w.csv rename to SurgeData/947-peak_w.csv diff --git a/SurgeData/N=1000/947-surge_c.csv b/SurgeData/947-surge_c.csv similarity index 100% rename from SurgeData/N=1000/947-surge_c.csv rename to SurgeData/947-surge_c.csv diff --git a/SurgeData/N=1000/947-surge_w.csv b/SurgeData/947-surge_w.csv similarity index 100% rename from SurgeData/N=1000/947-surge_w.csv rename to SurgeData/947-surge_w.csv diff --git a/SurgeData/N=1000/947-time_c.csv b/SurgeData/947-time_c.csv similarity index 100% rename from SurgeData/N=1000/947-time_c.csv rename to SurgeData/947-time_c.csv diff --git a/SurgeData/N=1000/947-time_w.csv b/SurgeData/947-time_w.csv similarity index 100% rename from SurgeData/N=1000/947-time_w.csv rename to SurgeData/947-time_w.csv diff --git a/SurgeData/N=1000/947-waterlevel_c.csv b/SurgeData/947-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/947-waterlevel_c.csv rename to SurgeData/947-waterlevel_c.csv diff --git a/SurgeData/N=1000/947-waterlevel_w.csv b/SurgeData/947-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/947-waterlevel_w.csv rename to SurgeData/947-waterlevel_w.csv diff --git a/SurgeData/N=1000/948-peak+year_c.csv b/SurgeData/948-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/948-peak+year_c.csv rename to SurgeData/948-peak+year_c.csv diff --git a/SurgeData/N=1000/948-peak+year_w.csv b/SurgeData/948-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/948-peak+year_w.csv rename to SurgeData/948-peak+year_w.csv diff --git a/SurgeData/N=1000/948-peak_c.csv b/SurgeData/948-peak_c.csv similarity index 100% rename from SurgeData/N=1000/948-peak_c.csv rename to SurgeData/948-peak_c.csv diff --git a/SurgeData/N=1000/948-peak_w.csv b/SurgeData/948-peak_w.csv similarity index 100% rename from SurgeData/N=1000/948-peak_w.csv rename to SurgeData/948-peak_w.csv diff --git a/SurgeData/N=1000/948-surge_c.csv b/SurgeData/948-surge_c.csv similarity index 100% rename from SurgeData/N=1000/948-surge_c.csv rename to SurgeData/948-surge_c.csv diff --git a/SurgeData/N=1000/948-surge_w.csv b/SurgeData/948-surge_w.csv similarity index 100% rename from SurgeData/N=1000/948-surge_w.csv rename to SurgeData/948-surge_w.csv diff --git a/SurgeData/N=1000/948-time_c.csv b/SurgeData/948-time_c.csv similarity index 100% rename from SurgeData/N=1000/948-time_c.csv rename to SurgeData/948-time_c.csv diff --git a/SurgeData/N=1000/948-time_w.csv b/SurgeData/948-time_w.csv similarity index 100% rename from SurgeData/N=1000/948-time_w.csv rename to SurgeData/948-time_w.csv diff --git a/SurgeData/N=1000/948-waterlevel_c.csv b/SurgeData/948-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/948-waterlevel_c.csv rename to SurgeData/948-waterlevel_c.csv diff --git a/SurgeData/N=1000/948-waterlevel_w.csv b/SurgeData/948-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/948-waterlevel_w.csv rename to SurgeData/948-waterlevel_w.csv diff --git a/SurgeData/N=1000/949-peak+year_c.csv b/SurgeData/949-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/949-peak+year_c.csv rename to SurgeData/949-peak+year_c.csv diff --git a/SurgeData/N=1000/949-peak+year_w.csv b/SurgeData/949-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/949-peak+year_w.csv rename to SurgeData/949-peak+year_w.csv diff --git a/SurgeData/N=1000/949-peak_c.csv b/SurgeData/949-peak_c.csv similarity index 100% rename from SurgeData/N=1000/949-peak_c.csv rename to SurgeData/949-peak_c.csv diff --git a/SurgeData/N=1000/949-peak_w.csv b/SurgeData/949-peak_w.csv similarity index 100% rename from SurgeData/N=1000/949-peak_w.csv rename to SurgeData/949-peak_w.csv diff --git a/SurgeData/N=1000/949-surge_c.csv b/SurgeData/949-surge_c.csv similarity index 100% rename from SurgeData/N=1000/949-surge_c.csv rename to SurgeData/949-surge_c.csv diff --git a/SurgeData/N=1000/949-surge_w.csv b/SurgeData/949-surge_w.csv similarity index 100% rename from SurgeData/N=1000/949-surge_w.csv rename to SurgeData/949-surge_w.csv diff --git a/SurgeData/N=1000/949-time_c.csv b/SurgeData/949-time_c.csv similarity index 100% rename from SurgeData/N=1000/949-time_c.csv rename to SurgeData/949-time_c.csv diff --git a/SurgeData/N=1000/949-time_w.csv b/SurgeData/949-time_w.csv similarity index 100% rename from SurgeData/N=1000/949-time_w.csv rename to SurgeData/949-time_w.csv diff --git a/SurgeData/N=1000/949-waterlevel_c.csv b/SurgeData/949-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/949-waterlevel_c.csv rename to SurgeData/949-waterlevel_c.csv diff --git a/SurgeData/N=1000/949-waterlevel_w.csv b/SurgeData/949-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/949-waterlevel_w.csv rename to SurgeData/949-waterlevel_w.csv diff --git a/SurgeData/95-num_storm.csv b/SurgeData/95-num_storm.csv new file mode 100644 index 00000000..f6746171 --- /dev/null +++ b/SurgeData/95-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,0.0 +2021,1.0,3.0 +2022,2.0,2.0 +2023,4.0,2.0 +2024,1.0,4.0 +2025,2.0,3.0 +2026,1.0,1.0 +2027,1.0,4.0 +2028,1.0,4.0 +2029,1.0,3.0 +2030,2.0,6.0 +2031,1.0,1.0 +2032,1.0,6.0 +2033,4.0,1.0 +2034,2.0,4.0 +2035,2.0,4.0 +2036,2.0,1.0 +2037,1.0,9.0 +2038,2.0,4.0 +2039,3.0,2.0 +2040,2.0,6.0 +2041,3.0,5.0 +2042,4.0,2.0 +2043,0.0,3.0 +2044,2.0,2.0 +2045,1.0,2.0 +2046,1.0,7.0 +2047,0.0,3.0 +2048,2.0,3.0 +2049,3.0,2.0 +2050,0.0,7.0 +2051,0.0,2.0 +2052,3.0,4.0 +2053,1.0,4.0 +2054,1.0,5.0 +2055,3.0,2.0 +2056,3.0,2.0 +2057,2.0,1.0 +2058,2.0,2.0 +2059,0.0,4.0 +2060,3.0,4.0 +2061,2.0,5.0 +2062,0.0,4.0 +2063,0.0,4.0 +2064,1.0,9.0 +2065,2.0,7.0 +2066,0.0,2.0 +2067,2.0,3.0 +2068,0.0,8.0 +2069,1.0,1.0 +2070,4.0,6.0 +2071,1.0,2.0 +2072,3.0,6.0 +2073,1.0,6.0 +2074,5.0,4.0 +2075,2.0,4.0 +2076,1.0,3.0 +2077,4.0,4.0 +2078,3.0,3.0 +2079,0.0,5.0 +2080,1.0,4.0 +2081,0.0,7.0 +2082,0.0,5.0 +2083,0.0,7.0 +2084,1.0,6.0 +2085,2.0,9.0 +2086,3.0,7.0 +2087,3.0,2.0 +2088,2.0,5.0 +2089,3.0,6.0 +2090,1.0,6.0 +2091,1.0,3.0 +2092,0.0,5.0 +2093,2.0,6.0 +2094,1.0,4.0 +2095,2.0,1.0 +2096,0.0,5.0 +2097,0.0,4.0 +2098,1.0,8.0 +2099,3.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/95-peak+year_c.csv b/SurgeData/95-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/95-peak+year_c.csv rename to SurgeData/95-peak+year_c.csv diff --git a/SurgeData/N=1000/95-peak+year_w.csv b/SurgeData/95-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/95-peak+year_w.csv rename to SurgeData/95-peak+year_w.csv diff --git a/SurgeData/N=1000/95-peak_c.csv b/SurgeData/95-peak_c.csv similarity index 100% rename from SurgeData/N=1000/95-peak_c.csv rename to SurgeData/95-peak_c.csv diff --git a/SurgeData/N=1000/95-peak_w.csv b/SurgeData/95-peak_w.csv similarity index 100% rename from SurgeData/N=1000/95-peak_w.csv rename to SurgeData/95-peak_w.csv diff --git a/SurgeData/N=1000/95-surge_c.csv b/SurgeData/95-surge_c.csv similarity index 100% rename from SurgeData/N=1000/95-surge_c.csv rename to SurgeData/95-surge_c.csv diff --git a/SurgeData/N=1000/95-surge_w.csv b/SurgeData/95-surge_w.csv similarity index 100% rename from SurgeData/N=1000/95-surge_w.csv rename to SurgeData/95-surge_w.csv diff --git a/SurgeData/N=1000/95-time_c.csv b/SurgeData/95-time_c.csv similarity index 100% rename from SurgeData/N=1000/95-time_c.csv rename to SurgeData/95-time_c.csv diff --git a/SurgeData/N=1000/95-time_w.csv b/SurgeData/95-time_w.csv similarity index 100% rename from SurgeData/N=1000/95-time_w.csv rename to SurgeData/95-time_w.csv diff --git a/SurgeData/N=1000/95-waterlevel_c.csv b/SurgeData/95-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/95-waterlevel_c.csv rename to SurgeData/95-waterlevel_c.csv diff --git a/SurgeData/N=1000/95-waterlevel_w.csv b/SurgeData/95-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/95-waterlevel_w.csv rename to SurgeData/95-waterlevel_w.csv diff --git a/SurgeData/950-num_storm.csv b/SurgeData/950-num_storm.csv new file mode 100644 index 00000000..9ee8e026 --- /dev/null +++ b/SurgeData/950-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,6.0 +2022,0.0,5.0 +2023,2.0,2.0 +2024,4.0,3.0 +2025,2.0,2.0 +2026,0.0,2.0 +2027,1.0,3.0 +2028,0.0,8.0 +2029,0.0,2.0 +2030,0.0,6.0 +2031,2.0,1.0 +2032,0.0,4.0 +2033,1.0,10.0 +2034,1.0,5.0 +2035,0.0,3.0 +2036,0.0,3.0 +2037,2.0,2.0 +2038,3.0,6.0 +2039,0.0,3.0 +2040,0.0,2.0 +2041,3.0,4.0 +2042,3.0,1.0 +2043,1.0,4.0 +2044,0.0,4.0 +2045,1.0,5.0 +2046,0.0,7.0 +2047,2.0,5.0 +2048,3.0,3.0 +2049,1.0,5.0 +2050,2.0,5.0 +2051,2.0,5.0 +2052,2.0,3.0 +2053,2.0,3.0 +2054,3.0,3.0 +2055,3.0,4.0 +2056,0.0,7.0 +2057,1.0,5.0 +2058,2.0,3.0 +2059,4.0,4.0 +2060,2.0,1.0 +2061,2.0,2.0 +2062,1.0,2.0 +2063,0.0,10.0 +2064,3.0,5.0 +2065,2.0,6.0 +2066,1.0,6.0 +2067,5.0,4.0 +2068,2.0,3.0 +2069,0.0,3.0 +2070,0.0,7.0 +2071,3.0,7.0 +2072,1.0,2.0 +2073,1.0,5.0 +2074,1.0,6.0 +2075,0.0,3.0 +2076,2.0,2.0 +2077,1.0,3.0 +2078,1.0,9.0 +2079,4.0,2.0 +2080,0.0,1.0 +2081,2.0,4.0 +2082,0.0,5.0 +2083,2.0,2.0 +2084,4.0,4.0 +2085,2.0,4.0 +2086,0.0,5.0 +2087,2.0,5.0 +2088,1.0,6.0 +2089,1.0,8.0 +2090,2.0,1.0 +2091,2.0,6.0 +2092,2.0,5.0 +2093,0.0,3.0 +2094,2.0,5.0 +2095,2.0,6.0 +2096,0.0,6.0 +2097,1.0,4.0 +2098,3.0,4.0 +2099,0.0,4.0 +2100,0.0,6.0 diff --git a/SurgeData/N=1000/950-peak+year_c.csv b/SurgeData/950-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/950-peak+year_c.csv rename to SurgeData/950-peak+year_c.csv diff --git a/SurgeData/N=1000/950-peak+year_w.csv b/SurgeData/950-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/950-peak+year_w.csv rename to SurgeData/950-peak+year_w.csv diff --git a/SurgeData/N=1000/950-peak_c.csv b/SurgeData/950-peak_c.csv similarity index 100% rename from SurgeData/N=1000/950-peak_c.csv rename to SurgeData/950-peak_c.csv diff --git a/SurgeData/N=1000/950-peak_w.csv b/SurgeData/950-peak_w.csv similarity index 100% rename from SurgeData/N=1000/950-peak_w.csv rename to SurgeData/950-peak_w.csv diff --git a/SurgeData/N=1000/950-surge_c.csv b/SurgeData/950-surge_c.csv similarity index 100% rename from SurgeData/N=1000/950-surge_c.csv rename to SurgeData/950-surge_c.csv diff --git a/SurgeData/N=1000/950-surge_w.csv b/SurgeData/950-surge_w.csv similarity index 100% rename from SurgeData/N=1000/950-surge_w.csv rename to SurgeData/950-surge_w.csv diff --git a/SurgeData/N=1000/950-time_c.csv b/SurgeData/950-time_c.csv similarity index 100% rename from SurgeData/N=1000/950-time_c.csv rename to SurgeData/950-time_c.csv diff --git a/SurgeData/N=1000/950-time_w.csv b/SurgeData/950-time_w.csv similarity index 100% rename from SurgeData/N=1000/950-time_w.csv rename to SurgeData/950-time_w.csv diff --git a/SurgeData/N=1000/950-waterlevel_c.csv b/SurgeData/950-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/950-waterlevel_c.csv rename to SurgeData/950-waterlevel_c.csv diff --git a/SurgeData/N=1000/950-waterlevel_w.csv b/SurgeData/950-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/950-waterlevel_w.csv rename to SurgeData/950-waterlevel_w.csv diff --git a/SurgeData/951-num_storm.csv b/SurgeData/951-num_storm.csv new file mode 100644 index 00000000..21dfaab5 --- /dev/null +++ b/SurgeData/951-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,6.0 +2022,3.0,2.0 +2023,2.0,5.0 +2024,1.0,1.0 +2025,4.0,8.0 +2026,0.0,5.0 +2027,1.0,5.0 +2028,3.0,5.0 +2029,1.0,2.0 +2030,1.0,7.0 +2031,1.0,5.0 +2032,3.0,7.0 +2033,2.0,2.0 +2034,5.0,2.0 +2035,2.0,3.0 +2036,2.0,6.0 +2037,2.0,7.0 +2038,1.0,8.0 +2039,3.0,3.0 +2040,2.0,5.0 +2041,1.0,3.0 +2042,2.0,7.0 +2043,3.0,5.0 +2044,1.0,5.0 +2045,2.0,6.0 +2046,0.0,3.0 +2047,3.0,4.0 +2048,1.0,7.0 +2049,0.0,2.0 +2050,2.0,5.0 +2051,3.0,2.0 +2052,0.0,4.0 +2053,2.0,4.0 +2054,2.0,6.0 +2055,1.0,2.0 +2056,0.0,5.0 +2057,1.0,3.0 +2058,0.0,6.0 +2059,1.0,4.0 +2060,0.0,4.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,1.0,0.0 +2064,4.0,8.0 +2065,1.0,3.0 +2066,0.0,3.0 +2067,2.0,2.0 +2068,1.0,5.0 +2069,1.0,6.0 +2070,3.0,5.0 +2071,1.0,3.0 +2072,1.0,4.0 +2073,1.0,6.0 +2074,2.0,4.0 +2075,3.0,3.0 +2076,1.0,5.0 +2077,0.0,4.0 +2078,1.0,2.0 +2079,0.0,8.0 +2080,1.0,5.0 +2081,1.0,4.0 +2082,1.0,1.0 +2083,2.0,3.0 +2084,2.0,6.0 +2085,1.0,6.0 +2086,3.0,8.0 +2087,1.0,4.0 +2088,1.0,9.0 +2089,1.0,4.0 +2090,1.0,8.0 +2091,2.0,6.0 +2092,1.0,6.0 +2093,0.0,3.0 +2094,1.0,5.0 +2095,2.0,6.0 +2096,1.0,9.0 +2097,2.0,1.0 +2098,1.0,4.0 +2099,3.0,7.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/951-peak+year_c.csv b/SurgeData/951-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/951-peak+year_c.csv rename to SurgeData/951-peak+year_c.csv diff --git a/SurgeData/N=1000/951-peak+year_w.csv b/SurgeData/951-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/951-peak+year_w.csv rename to SurgeData/951-peak+year_w.csv diff --git a/SurgeData/N=1000/951-peak_c.csv b/SurgeData/951-peak_c.csv similarity index 100% rename from SurgeData/N=1000/951-peak_c.csv rename to SurgeData/951-peak_c.csv diff --git a/SurgeData/N=1000/951-peak_w.csv b/SurgeData/951-peak_w.csv similarity index 100% rename from SurgeData/N=1000/951-peak_w.csv rename to SurgeData/951-peak_w.csv diff --git a/SurgeData/N=1000/951-surge_c.csv b/SurgeData/951-surge_c.csv similarity index 100% rename from SurgeData/N=1000/951-surge_c.csv rename to SurgeData/951-surge_c.csv diff --git a/SurgeData/N=1000/951-surge_w.csv b/SurgeData/951-surge_w.csv similarity index 100% rename from SurgeData/N=1000/951-surge_w.csv rename to SurgeData/951-surge_w.csv diff --git a/SurgeData/N=1000/951-time_c.csv b/SurgeData/951-time_c.csv similarity index 100% rename from SurgeData/N=1000/951-time_c.csv rename to SurgeData/951-time_c.csv diff --git a/SurgeData/N=1000/951-time_w.csv b/SurgeData/951-time_w.csv similarity index 100% rename from SurgeData/N=1000/951-time_w.csv rename to SurgeData/951-time_w.csv diff --git a/SurgeData/N=1000/951-waterlevel_c.csv b/SurgeData/951-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/951-waterlevel_c.csv rename to SurgeData/951-waterlevel_c.csv diff --git a/SurgeData/N=1000/951-waterlevel_w.csv b/SurgeData/951-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/951-waterlevel_w.csv rename to SurgeData/951-waterlevel_w.csv diff --git a/SurgeData/952-num_storm.csv b/SurgeData/952-num_storm.csv new file mode 100644 index 00000000..2336ab42 --- /dev/null +++ b/SurgeData/952-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,5.0 +2021,0.0,7.0 +2022,3.0,7.0 +2023,1.0,4.0 +2024,2.0,7.0 +2025,0.0,5.0 +2026,1.0,1.0 +2027,2.0,6.0 +2028,3.0,5.0 +2029,1.0,3.0 +2030,2.0,3.0 +2031,2.0,3.0 +2032,2.0,3.0 +2033,3.0,3.0 +2034,0.0,2.0 +2035,1.0,5.0 +2036,3.0,3.0 +2037,3.0,7.0 +2038,4.0,3.0 +2039,2.0,3.0 +2040,2.0,2.0 +2041,2.0,4.0 +2042,3.0,3.0 +2043,3.0,2.0 +2044,2.0,2.0 +2045,0.0,2.0 +2046,1.0,2.0 +2047,1.0,0.0 +2048,2.0,1.0 +2049,3.0,7.0 +2050,1.0,3.0 +2051,1.0,9.0 +2052,5.0,4.0 +2053,0.0,3.0 +2054,2.0,2.0 +2055,1.0,4.0 +2056,2.0,8.0 +2057,5.0,4.0 +2058,1.0,2.0 +2059,0.0,10.0 +2060,0.0,6.0 +2061,4.0,4.0 +2062,1.0,4.0 +2063,2.0,4.0 +2064,3.0,6.0 +2065,1.0,4.0 +2066,3.0,3.0 +2067,0.0,2.0 +2068,0.0,5.0 +2069,1.0,3.0 +2070,1.0,3.0 +2071,0.0,3.0 +2072,4.0,4.0 +2073,1.0,3.0 +2074,1.0,3.0 +2075,0.0,5.0 +2076,0.0,8.0 +2077,2.0,3.0 +2078,0.0,6.0 +2079,0.0,4.0 +2080,0.0,3.0 +2081,2.0,0.0 +2082,3.0,7.0 +2083,1.0,6.0 +2084,1.0,3.0 +2085,0.0,3.0 +2086,1.0,2.0 +2087,4.0,3.0 +2088,1.0,1.0 +2089,3.0,3.0 +2090,0.0,1.0 +2091,2.0,0.0 +2092,2.0,7.0 +2093,3.0,6.0 +2094,2.0,7.0 +2095,1.0,1.0 +2096,2.0,2.0 +2097,1.0,6.0 +2098,1.0,3.0 +2099,0.0,6.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/952-peak+year_c.csv b/SurgeData/952-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/952-peak+year_c.csv rename to SurgeData/952-peak+year_c.csv diff --git a/SurgeData/N=1000/952-peak+year_w.csv b/SurgeData/952-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/952-peak+year_w.csv rename to SurgeData/952-peak+year_w.csv diff --git a/SurgeData/N=1000/952-peak_c.csv b/SurgeData/952-peak_c.csv similarity index 100% rename from SurgeData/N=1000/952-peak_c.csv rename to SurgeData/952-peak_c.csv diff --git a/SurgeData/N=1000/952-peak_w.csv b/SurgeData/952-peak_w.csv similarity index 100% rename from SurgeData/N=1000/952-peak_w.csv rename to SurgeData/952-peak_w.csv diff --git a/SurgeData/N=1000/952-surge_c.csv b/SurgeData/952-surge_c.csv similarity index 100% rename from SurgeData/N=1000/952-surge_c.csv rename to SurgeData/952-surge_c.csv diff --git a/SurgeData/N=1000/952-surge_w.csv b/SurgeData/952-surge_w.csv similarity index 100% rename from SurgeData/N=1000/952-surge_w.csv rename to SurgeData/952-surge_w.csv diff --git a/SurgeData/N=1000/952-time_c.csv b/SurgeData/952-time_c.csv similarity index 100% rename from SurgeData/N=1000/952-time_c.csv rename to SurgeData/952-time_c.csv diff --git a/SurgeData/N=1000/952-time_w.csv b/SurgeData/952-time_w.csv similarity index 100% rename from SurgeData/N=1000/952-time_w.csv rename to SurgeData/952-time_w.csv diff --git a/SurgeData/N=1000/952-waterlevel_c.csv b/SurgeData/952-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/952-waterlevel_c.csv rename to SurgeData/952-waterlevel_c.csv diff --git a/SurgeData/N=1000/952-waterlevel_w.csv b/SurgeData/952-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/952-waterlevel_w.csv rename to SurgeData/952-waterlevel_w.csv diff --git a/SurgeData/953-num_storm.csv b/SurgeData/953-num_storm.csv new file mode 100644 index 00000000..db8bc7c0 --- /dev/null +++ b/SurgeData/953-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,8.0 +2021,1.0,4.0 +2022,2.0,3.0 +2023,1.0,3.0 +2024,1.0,1.0 +2025,0.0,7.0 +2026,1.0,10.0 +2027,1.0,1.0 +2028,5.0,2.0 +2029,0.0,3.0 +2030,2.0,5.0 +2031,2.0,8.0 +2032,2.0,7.0 +2033,1.0,4.0 +2034,0.0,5.0 +2035,1.0,4.0 +2036,1.0,10.0 +2037,3.0,3.0 +2038,2.0,5.0 +2039,1.0,7.0 +2040,1.0,6.0 +2041,0.0,6.0 +2042,0.0,4.0 +2043,2.0,2.0 +2044,1.0,3.0 +2045,2.0,5.0 +2046,2.0,5.0 +2047,2.0,3.0 +2048,5.0,4.0 +2049,3.0,6.0 +2050,2.0,2.0 +2051,5.0,8.0 +2052,1.0,5.0 +2053,0.0,2.0 +2054,2.0,3.0 +2055,5.0,2.0 +2056,0.0,7.0 +2057,0.0,5.0 +2058,5.0,6.0 +2059,4.0,1.0 +2060,1.0,5.0 +2061,1.0,3.0 +2062,0.0,5.0 +2063,2.0,4.0 +2064,1.0,1.0 +2065,1.0,4.0 +2066,1.0,3.0 +2067,1.0,5.0 +2068,0.0,7.0 +2069,1.0,6.0 +2070,0.0,4.0 +2071,2.0,2.0 +2072,1.0,3.0 +2073,4.0,4.0 +2074,1.0,2.0 +2075,1.0,3.0 +2076,1.0,4.0 +2077,0.0,7.0 +2078,0.0,6.0 +2079,2.0,1.0 +2080,2.0,2.0 +2081,3.0,8.0 +2082,0.0,3.0 +2083,0.0,3.0 +2084,1.0,6.0 +2085,2.0,0.0 +2086,0.0,1.0 +2087,2.0,3.0 +2088,1.0,3.0 +2089,1.0,3.0 +2090,2.0,3.0 +2091,0.0,5.0 +2092,1.0,3.0 +2093,3.0,7.0 +2094,5.0,7.0 +2095,1.0,6.0 +2096,3.0,2.0 +2097,1.0,3.0 +2098,1.0,2.0 +2099,1.0,3.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/953-peak+year_c.csv b/SurgeData/953-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/953-peak+year_c.csv rename to SurgeData/953-peak+year_c.csv diff --git a/SurgeData/N=1000/953-peak+year_w.csv b/SurgeData/953-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/953-peak+year_w.csv rename to SurgeData/953-peak+year_w.csv diff --git a/SurgeData/N=1000/953-peak_c.csv b/SurgeData/953-peak_c.csv similarity index 100% rename from SurgeData/N=1000/953-peak_c.csv rename to SurgeData/953-peak_c.csv diff --git a/SurgeData/N=1000/953-peak_w.csv b/SurgeData/953-peak_w.csv similarity index 100% rename from SurgeData/N=1000/953-peak_w.csv rename to SurgeData/953-peak_w.csv diff --git a/SurgeData/N=1000/953-surge_c.csv b/SurgeData/953-surge_c.csv similarity index 100% rename from SurgeData/N=1000/953-surge_c.csv rename to SurgeData/953-surge_c.csv diff --git a/SurgeData/N=1000/953-surge_w.csv b/SurgeData/953-surge_w.csv similarity index 100% rename from SurgeData/N=1000/953-surge_w.csv rename to SurgeData/953-surge_w.csv diff --git a/SurgeData/N=1000/953-time_c.csv b/SurgeData/953-time_c.csv similarity index 100% rename from SurgeData/N=1000/953-time_c.csv rename to SurgeData/953-time_c.csv diff --git a/SurgeData/N=1000/953-time_w.csv b/SurgeData/953-time_w.csv similarity index 100% rename from SurgeData/N=1000/953-time_w.csv rename to SurgeData/953-time_w.csv diff --git a/SurgeData/N=1000/953-waterlevel_c.csv b/SurgeData/953-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/953-waterlevel_c.csv rename to SurgeData/953-waterlevel_c.csv diff --git a/SurgeData/N=1000/953-waterlevel_w.csv b/SurgeData/953-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/953-waterlevel_w.csv rename to SurgeData/953-waterlevel_w.csv diff --git a/SurgeData/N=1000/954-peak+year_c.csv b/SurgeData/954-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/954-peak+year_c.csv rename to SurgeData/954-peak+year_c.csv diff --git a/SurgeData/N=1000/954-peak+year_w.csv b/SurgeData/954-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/954-peak+year_w.csv rename to SurgeData/954-peak+year_w.csv diff --git a/SurgeData/N=1000/954-peak_c.csv b/SurgeData/954-peak_c.csv similarity index 100% rename from SurgeData/N=1000/954-peak_c.csv rename to SurgeData/954-peak_c.csv diff --git a/SurgeData/N=1000/954-peak_w.csv b/SurgeData/954-peak_w.csv similarity index 100% rename from SurgeData/N=1000/954-peak_w.csv rename to SurgeData/954-peak_w.csv diff --git a/SurgeData/N=1000/954-surge_c.csv b/SurgeData/954-surge_c.csv similarity index 100% rename from SurgeData/N=1000/954-surge_c.csv rename to SurgeData/954-surge_c.csv diff --git a/SurgeData/N=1000/954-surge_w.csv b/SurgeData/954-surge_w.csv similarity index 100% rename from SurgeData/N=1000/954-surge_w.csv rename to SurgeData/954-surge_w.csv diff --git a/SurgeData/N=1000/954-time_c.csv b/SurgeData/954-time_c.csv similarity index 100% rename from SurgeData/N=1000/954-time_c.csv rename to SurgeData/954-time_c.csv diff --git a/SurgeData/N=1000/954-time_w.csv b/SurgeData/954-time_w.csv similarity index 100% rename from SurgeData/N=1000/954-time_w.csv rename to SurgeData/954-time_w.csv diff --git a/SurgeData/N=1000/954-waterlevel_c.csv b/SurgeData/954-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/954-waterlevel_c.csv rename to SurgeData/954-waterlevel_c.csv diff --git a/SurgeData/N=1000/954-waterlevel_w.csv b/SurgeData/954-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/954-waterlevel_w.csv rename to SurgeData/954-waterlevel_w.csv diff --git a/SurgeData/955-num_storm.csv b/SurgeData/955-num_storm.csv new file mode 100644 index 00000000..6d3148ae --- /dev/null +++ b/SurgeData/955-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,1.0 +2022,0.0,6.0 +2023,1.0,2.0 +2024,1.0,4.0 +2025,1.0,1.0 +2026,2.0,4.0 +2027,4.0,2.0 +2028,2.0,4.0 +2029,0.0,4.0 +2030,1.0,2.0 +2031,1.0,6.0 +2032,1.0,5.0 +2033,0.0,6.0 +2034,3.0,5.0 +2035,1.0,2.0 +2036,1.0,5.0 +2037,3.0,3.0 +2038,0.0,5.0 +2039,4.0,2.0 +2040,3.0,6.0 +2041,2.0,7.0 +2042,4.0,1.0 +2043,1.0,3.0 +2044,0.0,4.0 +2045,0.0,4.0 +2046,1.0,6.0 +2047,0.0,6.0 +2048,2.0,4.0 +2049,2.0,2.0 +2050,3.0,7.0 +2051,2.0,5.0 +2052,2.0,6.0 +2053,0.0,3.0 +2054,0.0,4.0 +2055,3.0,4.0 +2056,2.0,2.0 +2057,4.0,8.0 +2058,1.0,3.0 +2059,2.0,4.0 +2060,1.0,6.0 +2061,3.0,3.0 +2062,1.0,3.0 +2063,1.0,5.0 +2064,4.0,1.0 +2065,1.0,4.0 +2066,0.0,6.0 +2067,3.0,3.0 +2068,1.0,4.0 +2069,2.0,4.0 +2070,1.0,2.0 +2071,3.0,7.0 +2072,1.0,6.0 +2073,1.0,9.0 +2074,1.0,3.0 +2075,0.0,1.0 +2076,2.0,3.0 +2077,1.0,6.0 +2078,1.0,5.0 +2079,0.0,3.0 +2080,0.0,2.0 +2081,2.0,4.0 +2082,1.0,7.0 +2083,1.0,6.0 +2084,2.0,7.0 +2085,0.0,2.0 +2086,1.0,4.0 +2087,1.0,5.0 +2088,1.0,6.0 +2089,3.0,5.0 +2090,2.0,2.0 +2091,2.0,2.0 +2092,3.0,3.0 +2093,1.0,5.0 +2094,2.0,6.0 +2095,0.0,2.0 +2096,1.0,8.0 +2097,3.0,6.0 +2098,0.0,3.0 +2099,1.0,4.0 +2100,2.0,2.0 diff --git a/SurgeData/N=1000/955-peak+year_c.csv b/SurgeData/955-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/955-peak+year_c.csv rename to SurgeData/955-peak+year_c.csv diff --git a/SurgeData/N=1000/955-peak+year_w.csv b/SurgeData/955-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/955-peak+year_w.csv rename to SurgeData/955-peak+year_w.csv diff --git a/SurgeData/N=1000/955-peak_c.csv b/SurgeData/955-peak_c.csv similarity index 100% rename from SurgeData/N=1000/955-peak_c.csv rename to SurgeData/955-peak_c.csv diff --git a/SurgeData/N=1000/955-peak_w.csv b/SurgeData/955-peak_w.csv similarity index 100% rename from SurgeData/N=1000/955-peak_w.csv rename to SurgeData/955-peak_w.csv diff --git a/SurgeData/N=1000/955-surge_c.csv b/SurgeData/955-surge_c.csv similarity index 100% rename from SurgeData/N=1000/955-surge_c.csv rename to SurgeData/955-surge_c.csv diff --git a/SurgeData/N=1000/955-surge_w.csv b/SurgeData/955-surge_w.csv similarity index 100% rename from SurgeData/N=1000/955-surge_w.csv rename to SurgeData/955-surge_w.csv diff --git a/SurgeData/N=1000/955-time_c.csv b/SurgeData/955-time_c.csv similarity index 100% rename from SurgeData/N=1000/955-time_c.csv rename to SurgeData/955-time_c.csv diff --git a/SurgeData/N=1000/955-time_w.csv b/SurgeData/955-time_w.csv similarity index 100% rename from SurgeData/N=1000/955-time_w.csv rename to SurgeData/955-time_w.csv diff --git a/SurgeData/N=1000/955-waterlevel_c.csv b/SurgeData/955-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/955-waterlevel_c.csv rename to SurgeData/955-waterlevel_c.csv diff --git a/SurgeData/N=1000/955-waterlevel_w.csv b/SurgeData/955-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/955-waterlevel_w.csv rename to SurgeData/955-waterlevel_w.csv diff --git a/SurgeData/956-num_storm.csv b/SurgeData/956-num_storm.csv new file mode 100644 index 00000000..82f665e5 --- /dev/null +++ b/SurgeData/956-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,3.0 +2021,1.0,4.0 +2022,0.0,3.0 +2023,0.0,4.0 +2024,1.0,5.0 +2025,3.0,10.0 +2026,4.0,6.0 +2027,1.0,7.0 +2028,2.0,1.0 +2029,1.0,2.0 +2030,3.0,6.0 +2031,1.0,4.0 +2032,2.0,3.0 +2033,1.0,6.0 +2034,4.0,6.0 +2035,0.0,3.0 +2036,1.0,4.0 +2037,2.0,4.0 +2038,4.0,4.0 +2039,2.0,3.0 +2040,1.0,6.0 +2041,1.0,2.0 +2042,1.0,6.0 +2043,1.0,1.0 +2044,0.0,4.0 +2045,2.0,3.0 +2046,2.0,3.0 +2047,1.0,4.0 +2048,2.0,5.0 +2049,4.0,6.0 +2050,1.0,5.0 +2051,1.0,5.0 +2052,1.0,2.0 +2053,2.0,6.0 +2054,3.0,2.0 +2055,0.0,4.0 +2056,1.0,4.0 +2057,1.0,2.0 +2058,2.0,3.0 +2059,3.0,1.0 +2060,1.0,4.0 +2061,1.0,5.0 +2062,0.0,7.0 +2063,2.0,5.0 +2064,2.0,4.0 +2065,0.0,4.0 +2066,3.0,8.0 +2067,1.0,7.0 +2068,2.0,2.0 +2069,0.0,6.0 +2070,2.0,1.0 +2071,5.0,3.0 +2072,1.0,3.0 +2073,2.0,7.0 +2074,0.0,4.0 +2075,1.0,6.0 +2076,2.0,7.0 +2077,1.0,3.0 +2078,2.0,2.0 +2079,2.0,0.0 +2080,0.0,5.0 +2081,1.0,4.0 +2082,3.0,4.0 +2083,0.0,4.0 +2084,2.0,6.0 +2085,1.0,3.0 +2086,3.0,5.0 +2087,3.0,4.0 +2088,0.0,8.0 +2089,1.0,2.0 +2090,0.0,1.0 +2091,2.0,4.0 +2092,0.0,0.0 +2093,3.0,5.0 +2094,1.0,5.0 +2095,0.0,4.0 +2096,0.0,4.0 +2097,4.0,6.0 +2098,0.0,7.0 +2099,3.0,4.0 +2100,3.0,5.0 diff --git a/SurgeData/N=1000/956-peak+year_c.csv b/SurgeData/956-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/956-peak+year_c.csv rename to SurgeData/956-peak+year_c.csv diff --git a/SurgeData/N=1000/956-peak+year_w.csv b/SurgeData/956-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/956-peak+year_w.csv rename to SurgeData/956-peak+year_w.csv diff --git a/SurgeData/N=1000/956-peak_c.csv b/SurgeData/956-peak_c.csv similarity index 100% rename from SurgeData/N=1000/956-peak_c.csv rename to SurgeData/956-peak_c.csv diff --git a/SurgeData/N=1000/956-peak_w.csv b/SurgeData/956-peak_w.csv similarity index 100% rename from SurgeData/N=1000/956-peak_w.csv rename to SurgeData/956-peak_w.csv diff --git a/SurgeData/N=1000/956-surge_c.csv b/SurgeData/956-surge_c.csv similarity index 100% rename from SurgeData/N=1000/956-surge_c.csv rename to SurgeData/956-surge_c.csv diff --git a/SurgeData/N=1000/956-surge_w.csv b/SurgeData/956-surge_w.csv similarity index 100% rename from SurgeData/N=1000/956-surge_w.csv rename to SurgeData/956-surge_w.csv diff --git a/SurgeData/N=1000/956-time_c.csv b/SurgeData/956-time_c.csv similarity index 100% rename from SurgeData/N=1000/956-time_c.csv rename to SurgeData/956-time_c.csv diff --git a/SurgeData/N=1000/956-time_w.csv b/SurgeData/956-time_w.csv similarity index 100% rename from SurgeData/N=1000/956-time_w.csv rename to SurgeData/956-time_w.csv diff --git a/SurgeData/N=1000/956-waterlevel_c.csv b/SurgeData/956-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/956-waterlevel_c.csv rename to SurgeData/956-waterlevel_c.csv diff --git a/SurgeData/N=1000/956-waterlevel_w.csv b/SurgeData/956-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/956-waterlevel_w.csv rename to SurgeData/956-waterlevel_w.csv diff --git a/SurgeData/957-num_storm.csv b/SurgeData/957-num_storm.csv new file mode 100644 index 00000000..ffd1ef75 --- /dev/null +++ b/SurgeData/957-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,4.0 +2022,1.0,6.0 +2023,3.0,5.0 +2024,2.0,8.0 +2025,1.0,4.0 +2026,3.0,2.0 +2027,5.0,3.0 +2028,1.0,7.0 +2029,1.0,1.0 +2030,4.0,1.0 +2031,2.0,4.0 +2032,1.0,1.0 +2033,0.0,2.0 +2034,1.0,7.0 +2035,1.0,1.0 +2036,3.0,2.0 +2037,1.0,5.0 +2038,1.0,5.0 +2039,2.0,2.0 +2040,0.0,4.0 +2041,4.0,3.0 +2042,2.0,4.0 +2043,3.0,3.0 +2044,1.0,4.0 +2045,2.0,4.0 +2046,1.0,10.0 +2047,6.0,4.0 +2048,0.0,4.0 +2049,1.0,5.0 +2050,2.0,3.0 +2051,0.0,2.0 +2052,1.0,8.0 +2053,1.0,3.0 +2054,0.0,4.0 +2055,3.0,4.0 +2056,0.0,8.0 +2057,0.0,5.0 +2058,4.0,6.0 +2059,4.0,7.0 +2060,1.0,2.0 +2061,1.0,5.0 +2062,1.0,4.0 +2063,0.0,4.0 +2064,2.0,5.0 +2065,3.0,4.0 +2066,1.0,3.0 +2067,3.0,3.0 +2068,1.0,5.0 +2069,0.0,0.0 +2070,2.0,2.0 +2071,4.0,3.0 +2072,4.0,5.0 +2073,2.0,8.0 +2074,2.0,6.0 +2075,3.0,3.0 +2076,2.0,5.0 +2077,1.0,3.0 +2078,1.0,6.0 +2079,1.0,5.0 +2080,1.0,8.0 +2081,4.0,1.0 +2082,2.0,3.0 +2083,3.0,2.0 +2084,2.0,5.0 +2085,0.0,3.0 +2086,0.0,7.0 +2087,0.0,5.0 +2088,3.0,6.0 +2089,0.0,9.0 +2090,0.0,2.0 +2091,1.0,6.0 +2092,1.0,1.0 +2093,0.0,3.0 +2094,3.0,4.0 +2095,3.0,3.0 +2096,2.0,2.0 +2097,1.0,8.0 +2098,0.0,4.0 +2099,0.0,3.0 +2100,0.0,4.0 diff --git a/SurgeData/N=1000/957-peak+year_c.csv b/SurgeData/957-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/957-peak+year_c.csv rename to SurgeData/957-peak+year_c.csv diff --git a/SurgeData/N=1000/957-peak+year_w.csv b/SurgeData/957-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/957-peak+year_w.csv rename to SurgeData/957-peak+year_w.csv diff --git a/SurgeData/N=1000/957-peak_c.csv b/SurgeData/957-peak_c.csv similarity index 100% rename from SurgeData/N=1000/957-peak_c.csv rename to SurgeData/957-peak_c.csv diff --git a/SurgeData/N=1000/957-peak_w.csv b/SurgeData/957-peak_w.csv similarity index 100% rename from SurgeData/N=1000/957-peak_w.csv rename to SurgeData/957-peak_w.csv diff --git a/SurgeData/N=1000/957-surge_c.csv b/SurgeData/957-surge_c.csv similarity index 100% rename from SurgeData/N=1000/957-surge_c.csv rename to SurgeData/957-surge_c.csv diff --git a/SurgeData/N=1000/957-surge_w.csv b/SurgeData/957-surge_w.csv similarity index 100% rename from SurgeData/N=1000/957-surge_w.csv rename to SurgeData/957-surge_w.csv diff --git a/SurgeData/N=1000/957-time_c.csv b/SurgeData/957-time_c.csv similarity index 100% rename from SurgeData/N=1000/957-time_c.csv rename to SurgeData/957-time_c.csv diff --git a/SurgeData/N=1000/957-time_w.csv b/SurgeData/957-time_w.csv similarity index 100% rename from SurgeData/N=1000/957-time_w.csv rename to SurgeData/957-time_w.csv diff --git a/SurgeData/N=1000/957-waterlevel_c.csv b/SurgeData/957-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/957-waterlevel_c.csv rename to SurgeData/957-waterlevel_c.csv diff --git a/SurgeData/N=1000/957-waterlevel_w.csv b/SurgeData/957-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/957-waterlevel_w.csv rename to SurgeData/957-waterlevel_w.csv diff --git a/SurgeData/N=1000/958-peak+year_c.csv b/SurgeData/958-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/958-peak+year_c.csv rename to SurgeData/958-peak+year_c.csv diff --git a/SurgeData/N=1000/958-peak+year_w.csv b/SurgeData/958-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/958-peak+year_w.csv rename to SurgeData/958-peak+year_w.csv diff --git a/SurgeData/N=1000/958-peak_c.csv b/SurgeData/958-peak_c.csv similarity index 100% rename from SurgeData/N=1000/958-peak_c.csv rename to SurgeData/958-peak_c.csv diff --git a/SurgeData/N=1000/958-peak_w.csv b/SurgeData/958-peak_w.csv similarity index 100% rename from SurgeData/N=1000/958-peak_w.csv rename to SurgeData/958-peak_w.csv diff --git a/SurgeData/N=1000/958-surge_c.csv b/SurgeData/958-surge_c.csv similarity index 100% rename from SurgeData/N=1000/958-surge_c.csv rename to SurgeData/958-surge_c.csv diff --git a/SurgeData/N=1000/958-surge_w.csv b/SurgeData/958-surge_w.csv similarity index 100% rename from SurgeData/N=1000/958-surge_w.csv rename to SurgeData/958-surge_w.csv diff --git a/SurgeData/N=1000/958-time_c.csv b/SurgeData/958-time_c.csv similarity index 100% rename from SurgeData/N=1000/958-time_c.csv rename to SurgeData/958-time_c.csv diff --git a/SurgeData/N=1000/958-time_w.csv b/SurgeData/958-time_w.csv similarity index 100% rename from SurgeData/N=1000/958-time_w.csv rename to SurgeData/958-time_w.csv diff --git a/SurgeData/N=1000/958-waterlevel_c.csv b/SurgeData/958-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/958-waterlevel_c.csv rename to SurgeData/958-waterlevel_c.csv diff --git a/SurgeData/N=1000/958-waterlevel_w.csv b/SurgeData/958-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/958-waterlevel_w.csv rename to SurgeData/958-waterlevel_w.csv diff --git a/SurgeData/N=1000/959-peak+year_c.csv b/SurgeData/959-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/959-peak+year_c.csv rename to SurgeData/959-peak+year_c.csv diff --git a/SurgeData/N=1000/959-peak+year_w.csv b/SurgeData/959-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/959-peak+year_w.csv rename to SurgeData/959-peak+year_w.csv diff --git a/SurgeData/N=1000/959-peak_c.csv b/SurgeData/959-peak_c.csv similarity index 100% rename from SurgeData/N=1000/959-peak_c.csv rename to SurgeData/959-peak_c.csv diff --git a/SurgeData/N=1000/959-peak_w.csv b/SurgeData/959-peak_w.csv similarity index 100% rename from SurgeData/N=1000/959-peak_w.csv rename to SurgeData/959-peak_w.csv diff --git a/SurgeData/N=1000/959-surge_c.csv b/SurgeData/959-surge_c.csv similarity index 100% rename from SurgeData/N=1000/959-surge_c.csv rename to SurgeData/959-surge_c.csv diff --git a/SurgeData/N=1000/959-surge_w.csv b/SurgeData/959-surge_w.csv similarity index 100% rename from SurgeData/N=1000/959-surge_w.csv rename to SurgeData/959-surge_w.csv diff --git a/SurgeData/N=1000/959-time_c.csv b/SurgeData/959-time_c.csv similarity index 100% rename from SurgeData/N=1000/959-time_c.csv rename to SurgeData/959-time_c.csv diff --git a/SurgeData/N=1000/959-time_w.csv b/SurgeData/959-time_w.csv similarity index 100% rename from SurgeData/N=1000/959-time_w.csv rename to SurgeData/959-time_w.csv diff --git a/SurgeData/N=1000/959-waterlevel_c.csv b/SurgeData/959-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/959-waterlevel_c.csv rename to SurgeData/959-waterlevel_c.csv diff --git a/SurgeData/N=1000/959-waterlevel_w.csv b/SurgeData/959-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/959-waterlevel_w.csv rename to SurgeData/959-waterlevel_w.csv diff --git a/SurgeData/96-num_storm.csv b/SurgeData/96-num_storm.csv new file mode 100644 index 00000000..861cb10a --- /dev/null +++ b/SurgeData/96-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,0.0,1.0 +2022,1.0,4.0 +2023,1.0,3.0 +2024,2.0,2.0 +2025,3.0,7.0 +2026,2.0,4.0 +2027,1.0,5.0 +2028,3.0,2.0 +2029,0.0,6.0 +2030,1.0,2.0 +2031,5.0,3.0 +2032,2.0,4.0 +2033,0.0,8.0 +2034,0.0,7.0 +2035,2.0,3.0 +2036,2.0,2.0 +2037,2.0,5.0 +2038,2.0,5.0 +2039,0.0,5.0 +2040,3.0,5.0 +2041,2.0,3.0 +2042,0.0,5.0 +2043,1.0,6.0 +2044,0.0,3.0 +2045,1.0,7.0 +2046,1.0,5.0 +2047,1.0,4.0 +2048,2.0,1.0 +2049,2.0,3.0 +2050,3.0,2.0 +2051,1.0,3.0 +2052,7.0,3.0 +2053,2.0,4.0 +2054,0.0,5.0 +2055,1.0,2.0 +2056,0.0,2.0 +2057,2.0,4.0 +2058,0.0,5.0 +2059,1.0,2.0 +2060,1.0,7.0 +2061,2.0,7.0 +2062,0.0,4.0 +2063,2.0,3.0 +2064,1.0,3.0 +2065,3.0,11.0 +2066,2.0,2.0 +2067,1.0,7.0 +2068,2.0,7.0 +2069,1.0,6.0 +2070,0.0,2.0 +2071,1.0,6.0 +2072,2.0,7.0 +2073,1.0,5.0 +2074,1.0,7.0 +2075,2.0,4.0 +2076,3.0,7.0 +2077,1.0,3.0 +2078,1.0,3.0 +2079,2.0,7.0 +2080,3.0,5.0 +2081,0.0,5.0 +2082,0.0,3.0 +2083,4.0,4.0 +2084,1.0,5.0 +2085,2.0,2.0 +2086,0.0,4.0 +2087,1.0,7.0 +2088,3.0,3.0 +2089,2.0,4.0 +2090,3.0,8.0 +2091,1.0,3.0 +2092,2.0,5.0 +2093,3.0,4.0 +2094,1.0,1.0 +2095,2.0,4.0 +2096,2.0,3.0 +2097,3.0,5.0 +2098,3.0,2.0 +2099,1.0,5.0 +2100,2.0,4.0 diff --git a/SurgeData/N=1000/96-peak+year_c.csv b/SurgeData/96-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/96-peak+year_c.csv rename to SurgeData/96-peak+year_c.csv diff --git a/SurgeData/N=1000/96-peak+year_w.csv b/SurgeData/96-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/96-peak+year_w.csv rename to SurgeData/96-peak+year_w.csv diff --git a/SurgeData/N=1000/96-peak_c.csv b/SurgeData/96-peak_c.csv similarity index 100% rename from SurgeData/N=1000/96-peak_c.csv rename to SurgeData/96-peak_c.csv diff --git a/SurgeData/N=1000/96-peak_w.csv b/SurgeData/96-peak_w.csv similarity index 100% rename from SurgeData/N=1000/96-peak_w.csv rename to SurgeData/96-peak_w.csv diff --git a/SurgeData/N=1000/96-surge_c.csv b/SurgeData/96-surge_c.csv similarity index 100% rename from SurgeData/N=1000/96-surge_c.csv rename to SurgeData/96-surge_c.csv diff --git a/SurgeData/N=1000/96-surge_w.csv b/SurgeData/96-surge_w.csv similarity index 100% rename from SurgeData/N=1000/96-surge_w.csv rename to SurgeData/96-surge_w.csv diff --git a/SurgeData/N=1000/96-time_c.csv b/SurgeData/96-time_c.csv similarity index 100% rename from SurgeData/N=1000/96-time_c.csv rename to SurgeData/96-time_c.csv diff --git a/SurgeData/N=1000/96-time_w.csv b/SurgeData/96-time_w.csv similarity index 100% rename from SurgeData/N=1000/96-time_w.csv rename to SurgeData/96-time_w.csv diff --git a/SurgeData/N=1000/96-waterlevel_c.csv b/SurgeData/96-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/96-waterlevel_c.csv rename to SurgeData/96-waterlevel_c.csv diff --git a/SurgeData/N=1000/96-waterlevel_w.csv b/SurgeData/96-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/96-waterlevel_w.csv rename to SurgeData/96-waterlevel_w.csv diff --git a/SurgeData/960-num_storm.csv b/SurgeData/960-num_storm.csv new file mode 100644 index 00000000..27a5f09c --- /dev/null +++ b/SurgeData/960-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,4.0,5.0 +2022,5.0,4.0 +2023,2.0,6.0 +2024,2.0,1.0 +2025,3.0,3.0 +2026,1.0,1.0 +2027,1.0,5.0 +2028,1.0,4.0 +2029,3.0,4.0 +2030,0.0,3.0 +2031,3.0,3.0 +2032,1.0,2.0 +2033,0.0,6.0 +2034,1.0,3.0 +2035,1.0,3.0 +2036,1.0,3.0 +2037,0.0,2.0 +2038,1.0,4.0 +2039,0.0,2.0 +2040,3.0,7.0 +2041,2.0,2.0 +2042,2.0,8.0 +2043,0.0,4.0 +2044,2.0,1.0 +2045,1.0,7.0 +2046,2.0,6.0 +2047,2.0,6.0 +2048,0.0,6.0 +2049,2.0,4.0 +2050,1.0,5.0 +2051,1.0,4.0 +2052,0.0,8.0 +2053,3.0,5.0 +2054,1.0,3.0 +2055,4.0,4.0 +2056,1.0,3.0 +2057,1.0,4.0 +2058,2.0,3.0 +2059,1.0,5.0 +2060,2.0,6.0 +2061,3.0,6.0 +2062,1.0,1.0 +2063,2.0,5.0 +2064,1.0,8.0 +2065,0.0,5.0 +2066,1.0,3.0 +2067,1.0,3.0 +2068,2.0,4.0 +2069,2.0,3.0 +2070,2.0,4.0 +2071,1.0,4.0 +2072,2.0,5.0 +2073,2.0,8.0 +2074,1.0,5.0 +2075,2.0,3.0 +2076,0.0,6.0 +2077,0.0,4.0 +2078,1.0,10.0 +2079,0.0,2.0 +2080,4.0,5.0 +2081,2.0,7.0 +2082,1.0,3.0 +2083,1.0,1.0 +2084,1.0,7.0 +2085,1.0,3.0 +2086,1.0,8.0 +2087,0.0,4.0 +2088,2.0,6.0 +2089,1.0,1.0 +2090,3.0,2.0 +2091,3.0,2.0 +2092,2.0,5.0 +2093,2.0,4.0 +2094,5.0,3.0 +2095,6.0,4.0 +2096,1.0,2.0 +2097,1.0,6.0 +2098,2.0,8.0 +2099,3.0,2.0 +2100,0.0,5.0 diff --git a/SurgeData/N=1000/960-peak+year_c.csv b/SurgeData/960-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/960-peak+year_c.csv rename to SurgeData/960-peak+year_c.csv diff --git a/SurgeData/N=1000/960-peak+year_w.csv b/SurgeData/960-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/960-peak+year_w.csv rename to SurgeData/960-peak+year_w.csv diff --git a/SurgeData/N=1000/960-peak_c.csv b/SurgeData/960-peak_c.csv similarity index 100% rename from SurgeData/N=1000/960-peak_c.csv rename to SurgeData/960-peak_c.csv diff --git a/SurgeData/N=1000/960-peak_w.csv b/SurgeData/960-peak_w.csv similarity index 100% rename from SurgeData/N=1000/960-peak_w.csv rename to SurgeData/960-peak_w.csv diff --git a/SurgeData/N=1000/960-surge_c.csv b/SurgeData/960-surge_c.csv similarity index 100% rename from SurgeData/N=1000/960-surge_c.csv rename to SurgeData/960-surge_c.csv diff --git a/SurgeData/N=1000/960-surge_w.csv b/SurgeData/960-surge_w.csv similarity index 100% rename from SurgeData/N=1000/960-surge_w.csv rename to SurgeData/960-surge_w.csv diff --git a/SurgeData/N=1000/960-time_c.csv b/SurgeData/960-time_c.csv similarity index 100% rename from SurgeData/N=1000/960-time_c.csv rename to SurgeData/960-time_c.csv diff --git a/SurgeData/N=1000/960-time_w.csv b/SurgeData/960-time_w.csv similarity index 100% rename from SurgeData/N=1000/960-time_w.csv rename to SurgeData/960-time_w.csv diff --git a/SurgeData/N=1000/960-waterlevel_c.csv b/SurgeData/960-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/960-waterlevel_c.csv rename to SurgeData/960-waterlevel_c.csv diff --git a/SurgeData/N=1000/960-waterlevel_w.csv b/SurgeData/960-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/960-waterlevel_w.csv rename to SurgeData/960-waterlevel_w.csv diff --git a/SurgeData/N=1000/961-peak+year_c.csv b/SurgeData/961-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/961-peak+year_c.csv rename to SurgeData/961-peak+year_c.csv diff --git a/SurgeData/N=1000/961-peak+year_w.csv b/SurgeData/961-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/961-peak+year_w.csv rename to SurgeData/961-peak+year_w.csv diff --git a/SurgeData/N=1000/961-peak_c.csv b/SurgeData/961-peak_c.csv similarity index 100% rename from SurgeData/N=1000/961-peak_c.csv rename to SurgeData/961-peak_c.csv diff --git a/SurgeData/N=1000/961-peak_w.csv b/SurgeData/961-peak_w.csv similarity index 100% rename from SurgeData/N=1000/961-peak_w.csv rename to SurgeData/961-peak_w.csv diff --git a/SurgeData/N=1000/961-surge_c.csv b/SurgeData/961-surge_c.csv similarity index 100% rename from SurgeData/N=1000/961-surge_c.csv rename to SurgeData/961-surge_c.csv diff --git a/SurgeData/N=1000/961-surge_w.csv b/SurgeData/961-surge_w.csv similarity index 100% rename from SurgeData/N=1000/961-surge_w.csv rename to SurgeData/961-surge_w.csv diff --git a/SurgeData/N=1000/961-time_c.csv b/SurgeData/961-time_c.csv similarity index 100% rename from SurgeData/N=1000/961-time_c.csv rename to SurgeData/961-time_c.csv diff --git a/SurgeData/N=1000/961-time_w.csv b/SurgeData/961-time_w.csv similarity index 100% rename from SurgeData/N=1000/961-time_w.csv rename to SurgeData/961-time_w.csv diff --git a/SurgeData/N=1000/961-waterlevel_c.csv b/SurgeData/961-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/961-waterlevel_c.csv rename to SurgeData/961-waterlevel_c.csv diff --git a/SurgeData/N=1000/961-waterlevel_w.csv b/SurgeData/961-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/961-waterlevel_w.csv rename to SurgeData/961-waterlevel_w.csv diff --git a/SurgeData/962-num_storm.csv b/SurgeData/962-num_storm.csv new file mode 100644 index 00000000..431e2ea6 --- /dev/null +++ b/SurgeData/962-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,0.0,3.0 +2022,1.0,5.0 +2023,1.0,7.0 +2024,1.0,2.0 +2025,0.0,5.0 +2026,4.0,4.0 +2027,0.0,2.0 +2028,1.0,7.0 +2029,1.0,4.0 +2030,3.0,2.0 +2031,1.0,4.0 +2032,2.0,3.0 +2033,0.0,4.0 +2034,1.0,4.0 +2035,1.0,1.0 +2036,1.0,7.0 +2037,2.0,4.0 +2038,0.0,3.0 +2039,1.0,2.0 +2040,0.0,5.0 +2041,1.0,1.0 +2042,0.0,2.0 +2043,1.0,4.0 +2044,0.0,4.0 +2045,0.0,9.0 +2046,2.0,0.0 +2047,0.0,8.0 +2048,1.0,5.0 +2049,2.0,4.0 +2050,2.0,1.0 +2051,0.0,6.0 +2052,0.0,4.0 +2053,2.0,5.0 +2054,3.0,5.0 +2055,3.0,5.0 +2056,3.0,3.0 +2057,0.0,1.0 +2058,3.0,5.0 +2059,0.0,3.0 +2060,1.0,6.0 +2061,1.0,2.0 +2062,2.0,3.0 +2063,1.0,3.0 +2064,2.0,6.0 +2065,0.0,2.0 +2066,1.0,6.0 +2067,2.0,4.0 +2068,1.0,6.0 +2069,2.0,4.0 +2070,1.0,4.0 +2071,2.0,3.0 +2072,3.0,6.0 +2073,1.0,2.0 +2074,6.0,4.0 +2075,3.0,3.0 +2076,1.0,4.0 +2077,4.0,4.0 +2078,4.0,3.0 +2079,1.0,7.0 +2080,0.0,4.0 +2081,0.0,7.0 +2082,2.0,4.0 +2083,1.0,7.0 +2084,3.0,4.0 +2085,1.0,6.0 +2086,2.0,6.0 +2087,1.0,6.0 +2088,0.0,7.0 +2089,3.0,3.0 +2090,1.0,1.0 +2091,0.0,3.0 +2092,1.0,4.0 +2093,1.0,4.0 +2094,2.0,6.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,0.0,4.0 +2098,1.0,3.0 +2099,1.0,6.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/962-peak+year_c.csv b/SurgeData/962-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/962-peak+year_c.csv rename to SurgeData/962-peak+year_c.csv diff --git a/SurgeData/N=1000/962-peak+year_w.csv b/SurgeData/962-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/962-peak+year_w.csv rename to SurgeData/962-peak+year_w.csv diff --git a/SurgeData/N=1000/962-peak_c.csv b/SurgeData/962-peak_c.csv similarity index 100% rename from SurgeData/N=1000/962-peak_c.csv rename to SurgeData/962-peak_c.csv diff --git a/SurgeData/N=1000/962-peak_w.csv b/SurgeData/962-peak_w.csv similarity index 100% rename from SurgeData/N=1000/962-peak_w.csv rename to SurgeData/962-peak_w.csv diff --git a/SurgeData/N=1000/962-surge_c.csv b/SurgeData/962-surge_c.csv similarity index 100% rename from SurgeData/N=1000/962-surge_c.csv rename to SurgeData/962-surge_c.csv diff --git a/SurgeData/N=1000/962-surge_w.csv b/SurgeData/962-surge_w.csv similarity index 100% rename from SurgeData/N=1000/962-surge_w.csv rename to SurgeData/962-surge_w.csv diff --git a/SurgeData/N=1000/962-time_c.csv b/SurgeData/962-time_c.csv similarity index 100% rename from SurgeData/N=1000/962-time_c.csv rename to SurgeData/962-time_c.csv diff --git a/SurgeData/N=1000/962-time_w.csv b/SurgeData/962-time_w.csv similarity index 100% rename from SurgeData/N=1000/962-time_w.csv rename to SurgeData/962-time_w.csv diff --git a/SurgeData/N=1000/962-waterlevel_c.csv b/SurgeData/962-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/962-waterlevel_c.csv rename to SurgeData/962-waterlevel_c.csv diff --git a/SurgeData/N=1000/962-waterlevel_w.csv b/SurgeData/962-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/962-waterlevel_w.csv rename to SurgeData/962-waterlevel_w.csv diff --git a/SurgeData/963-num_storm.csv b/SurgeData/963-num_storm.csv new file mode 100644 index 00000000..0e4a2323 --- /dev/null +++ b/SurgeData/963-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,2.0 +2022,0.0,5.0 +2023,4.0,8.0 +2024,5.0,3.0 +2025,2.0,5.0 +2026,1.0,4.0 +2027,1.0,3.0 +2028,0.0,1.0 +2029,0.0,4.0 +2030,2.0,4.0 +2031,1.0,2.0 +2032,1.0,8.0 +2033,2.0,6.0 +2034,2.0,8.0 +2035,0.0,7.0 +2036,1.0,1.0 +2037,4.0,4.0 +2038,1.0,3.0 +2039,0.0,5.0 +2040,1.0,0.0 +2041,1.0,1.0 +2042,1.0,0.0 +2043,1.0,4.0 +2044,2.0,6.0 +2045,3.0,9.0 +2046,2.0,5.0 +2047,2.0,6.0 +2048,1.0,1.0 +2049,1.0,4.0 +2050,2.0,5.0 +2051,3.0,2.0 +2052,1.0,5.0 +2053,3.0,7.0 +2054,2.0,4.0 +2055,3.0,3.0 +2056,3.0,4.0 +2057,0.0,8.0 +2058,1.0,6.0 +2059,2.0,3.0 +2060,1.0,3.0 +2061,5.0,5.0 +2062,0.0,3.0 +2063,4.0,1.0 +2064,0.0,5.0 +2065,2.0,6.0 +2066,0.0,4.0 +2067,3.0,4.0 +2068,2.0,8.0 +2069,2.0,9.0 +2070,5.0,3.0 +2071,3.0,2.0 +2072,1.0,2.0 +2073,2.0,7.0 +2074,0.0,6.0 +2075,2.0,1.0 +2076,1.0,6.0 +2077,2.0,8.0 +2078,1.0,10.0 +2079,2.0,2.0 +2080,0.0,4.0 +2081,2.0,3.0 +2082,1.0,2.0 +2083,0.0,3.0 +2084,3.0,8.0 +2085,1.0,3.0 +2086,3.0,0.0 +2087,3.0,3.0 +2088,0.0,6.0 +2089,1.0,6.0 +2090,4.0,5.0 +2091,1.0,5.0 +2092,2.0,1.0 +2093,0.0,11.0 +2094,2.0,4.0 +2095,1.0,4.0 +2096,0.0,6.0 +2097,1.0,4.0 +2098,2.0,3.0 +2099,2.0,2.0 +2100,0.0,8.0 diff --git a/SurgeData/N=1000/963-peak+year_c.csv b/SurgeData/963-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/963-peak+year_c.csv rename to SurgeData/963-peak+year_c.csv diff --git a/SurgeData/N=1000/963-peak+year_w.csv b/SurgeData/963-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/963-peak+year_w.csv rename to SurgeData/963-peak+year_w.csv diff --git a/SurgeData/N=1000/963-peak_c.csv b/SurgeData/963-peak_c.csv similarity index 100% rename from SurgeData/N=1000/963-peak_c.csv rename to SurgeData/963-peak_c.csv diff --git a/SurgeData/N=1000/963-peak_w.csv b/SurgeData/963-peak_w.csv similarity index 100% rename from SurgeData/N=1000/963-peak_w.csv rename to SurgeData/963-peak_w.csv diff --git a/SurgeData/N=1000/963-surge_c.csv b/SurgeData/963-surge_c.csv similarity index 100% rename from SurgeData/N=1000/963-surge_c.csv rename to SurgeData/963-surge_c.csv diff --git a/SurgeData/N=1000/963-surge_w.csv b/SurgeData/963-surge_w.csv similarity index 100% rename from SurgeData/N=1000/963-surge_w.csv rename to SurgeData/963-surge_w.csv diff --git a/SurgeData/N=1000/963-time_c.csv b/SurgeData/963-time_c.csv similarity index 100% rename from SurgeData/N=1000/963-time_c.csv rename to SurgeData/963-time_c.csv diff --git a/SurgeData/N=1000/963-time_w.csv b/SurgeData/963-time_w.csv similarity index 100% rename from SurgeData/N=1000/963-time_w.csv rename to SurgeData/963-time_w.csv diff --git a/SurgeData/N=1000/963-waterlevel_c.csv b/SurgeData/963-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/963-waterlevel_c.csv rename to SurgeData/963-waterlevel_c.csv diff --git a/SurgeData/N=1000/963-waterlevel_w.csv b/SurgeData/963-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/963-waterlevel_w.csv rename to SurgeData/963-waterlevel_w.csv diff --git a/SurgeData/N=1000/964-peak+year_c.csv b/SurgeData/964-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/964-peak+year_c.csv rename to SurgeData/964-peak+year_c.csv diff --git a/SurgeData/N=1000/964-peak+year_w.csv b/SurgeData/964-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/964-peak+year_w.csv rename to SurgeData/964-peak+year_w.csv diff --git a/SurgeData/N=1000/964-peak_c.csv b/SurgeData/964-peak_c.csv similarity index 100% rename from SurgeData/N=1000/964-peak_c.csv rename to SurgeData/964-peak_c.csv diff --git a/SurgeData/N=1000/964-peak_w.csv b/SurgeData/964-peak_w.csv similarity index 100% rename from SurgeData/N=1000/964-peak_w.csv rename to SurgeData/964-peak_w.csv diff --git a/SurgeData/N=1000/964-surge_c.csv b/SurgeData/964-surge_c.csv similarity index 100% rename from SurgeData/N=1000/964-surge_c.csv rename to SurgeData/964-surge_c.csv diff --git a/SurgeData/N=1000/964-surge_w.csv b/SurgeData/964-surge_w.csv similarity index 100% rename from SurgeData/N=1000/964-surge_w.csv rename to SurgeData/964-surge_w.csv diff --git a/SurgeData/N=1000/964-time_c.csv b/SurgeData/964-time_c.csv similarity index 100% rename from SurgeData/N=1000/964-time_c.csv rename to SurgeData/964-time_c.csv diff --git a/SurgeData/N=1000/964-time_w.csv b/SurgeData/964-time_w.csv similarity index 100% rename from SurgeData/N=1000/964-time_w.csv rename to SurgeData/964-time_w.csv diff --git a/SurgeData/N=1000/964-waterlevel_c.csv b/SurgeData/964-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/964-waterlevel_c.csv rename to SurgeData/964-waterlevel_c.csv diff --git a/SurgeData/N=1000/964-waterlevel_w.csv b/SurgeData/964-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/964-waterlevel_w.csv rename to SurgeData/964-waterlevel_w.csv diff --git a/SurgeData/965-num_storm.csv b/SurgeData/965-num_storm.csv new file mode 100644 index 00000000..6bdfe861 --- /dev/null +++ b/SurgeData/965-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,4.0,2.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,3.0,4.0 +2025,0.0,2.0 +2026,0.0,4.0 +2027,2.0,5.0 +2028,1.0,1.0 +2029,2.0,5.0 +2030,1.0,1.0 +2031,2.0,3.0 +2032,3.0,3.0 +2033,1.0,4.0 +2034,3.0,5.0 +2035,1.0,2.0 +2036,0.0,1.0 +2037,0.0,3.0 +2038,2.0,8.0 +2039,2.0,5.0 +2040,3.0,6.0 +2041,0.0,4.0 +2042,0.0,6.0 +2043,1.0,3.0 +2044,1.0,3.0 +2045,1.0,2.0 +2046,0.0,6.0 +2047,2.0,5.0 +2048,1.0,4.0 +2049,0.0,4.0 +2050,2.0,8.0 +2051,1.0,4.0 +2052,1.0,4.0 +2053,1.0,3.0 +2054,1.0,3.0 +2055,1.0,2.0 +2056,2.0,4.0 +2057,0.0,6.0 +2058,1.0,5.0 +2059,3.0,5.0 +2060,2.0,4.0 +2061,2.0,2.0 +2062,1.0,4.0 +2063,0.0,5.0 +2064,0.0,4.0 +2065,1.0,7.0 +2066,3.0,5.0 +2067,2.0,2.0 +2068,0.0,2.0 +2069,2.0,2.0 +2070,3.0,7.0 +2071,1.0,2.0 +2072,0.0,3.0 +2073,2.0,5.0 +2074,0.0,1.0 +2075,1.0,4.0 +2076,4.0,7.0 +2077,4.0,3.0 +2078,2.0,1.0 +2079,1.0,1.0 +2080,0.0,1.0 +2081,1.0,2.0 +2082,1.0,4.0 +2083,0.0,5.0 +2084,2.0,2.0 +2085,4.0,5.0 +2086,3.0,4.0 +2087,0.0,5.0 +2088,1.0,1.0 +2089,0.0,4.0 +2090,2.0,4.0 +2091,3.0,4.0 +2092,1.0,5.0 +2093,1.0,4.0 +2094,2.0,4.0 +2095,3.0,4.0 +2096,0.0,4.0 +2097,3.0,7.0 +2098,3.0,5.0 +2099,0.0,2.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/965-peak+year_c.csv b/SurgeData/965-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/965-peak+year_c.csv rename to SurgeData/965-peak+year_c.csv diff --git a/SurgeData/N=1000/965-peak+year_w.csv b/SurgeData/965-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/965-peak+year_w.csv rename to SurgeData/965-peak+year_w.csv diff --git a/SurgeData/N=1000/965-peak_c.csv b/SurgeData/965-peak_c.csv similarity index 100% rename from SurgeData/N=1000/965-peak_c.csv rename to SurgeData/965-peak_c.csv diff --git a/SurgeData/N=1000/965-peak_w.csv b/SurgeData/965-peak_w.csv similarity index 100% rename from SurgeData/N=1000/965-peak_w.csv rename to SurgeData/965-peak_w.csv diff --git a/SurgeData/N=1000/965-surge_c.csv b/SurgeData/965-surge_c.csv similarity index 100% rename from SurgeData/N=1000/965-surge_c.csv rename to SurgeData/965-surge_c.csv diff --git a/SurgeData/N=1000/965-surge_w.csv b/SurgeData/965-surge_w.csv similarity index 100% rename from SurgeData/N=1000/965-surge_w.csv rename to SurgeData/965-surge_w.csv diff --git a/SurgeData/N=1000/965-time_c.csv b/SurgeData/965-time_c.csv similarity index 100% rename from SurgeData/N=1000/965-time_c.csv rename to SurgeData/965-time_c.csv diff --git a/SurgeData/N=1000/965-time_w.csv b/SurgeData/965-time_w.csv similarity index 100% rename from SurgeData/N=1000/965-time_w.csv rename to SurgeData/965-time_w.csv diff --git a/SurgeData/N=1000/965-waterlevel_c.csv b/SurgeData/965-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/965-waterlevel_c.csv rename to SurgeData/965-waterlevel_c.csv diff --git a/SurgeData/N=1000/965-waterlevel_w.csv b/SurgeData/965-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/965-waterlevel_w.csv rename to SurgeData/965-waterlevel_w.csv diff --git a/SurgeData/966-num_storm.csv b/SurgeData/966-num_storm.csv new file mode 100644 index 00000000..150aa52c --- /dev/null +++ b/SurgeData/966-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,5.0 +2021,1.0,4.0 +2022,1.0,6.0 +2023,3.0,4.0 +2024,1.0,6.0 +2025,2.0,4.0 +2026,0.0,3.0 +2027,3.0,5.0 +2028,0.0,2.0 +2029,1.0,7.0 +2030,1.0,2.0 +2031,2.0,3.0 +2032,2.0,4.0 +2033,1.0,4.0 +2034,1.0,4.0 +2035,2.0,5.0 +2036,1.0,3.0 +2037,2.0,4.0 +2038,4.0,7.0 +2039,2.0,7.0 +2040,0.0,2.0 +2041,0.0,2.0 +2042,1.0,5.0 +2043,0.0,2.0 +2044,1.0,2.0 +2045,1.0,3.0 +2046,1.0,3.0 +2047,1.0,4.0 +2048,2.0,5.0 +2049,2.0,7.0 +2050,3.0,10.0 +2051,0.0,7.0 +2052,4.0,2.0 +2053,1.0,4.0 +2054,0.0,5.0 +2055,4.0,4.0 +2056,1.0,4.0 +2057,0.0,4.0 +2058,0.0,6.0 +2059,0.0,7.0 +2060,1.0,6.0 +2061,1.0,5.0 +2062,1.0,3.0 +2063,2.0,6.0 +2064,1.0,2.0 +2065,0.0,3.0 +2066,0.0,7.0 +2067,1.0,3.0 +2068,1.0,7.0 +2069,1.0,3.0 +2070,1.0,7.0 +2071,3.0,3.0 +2072,1.0,2.0 +2073,4.0,4.0 +2074,1.0,3.0 +2075,1.0,2.0 +2076,1.0,5.0 +2077,3.0,6.0 +2078,0.0,3.0 +2079,2.0,4.0 +2080,3.0,4.0 +2081,0.0,4.0 +2082,3.0,4.0 +2083,2.0,3.0 +2084,1.0,2.0 +2085,0.0,6.0 +2086,0.0,5.0 +2087,3.0,6.0 +2088,1.0,2.0 +2089,3.0,4.0 +2090,2.0,6.0 +2091,2.0,4.0 +2092,2.0,2.0 +2093,1.0,1.0 +2094,3.0,3.0 +2095,4.0,3.0 +2096,0.0,3.0 +2097,2.0,3.0 +2098,1.0,6.0 +2099,2.0,3.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/966-peak+year_c.csv b/SurgeData/966-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/966-peak+year_c.csv rename to SurgeData/966-peak+year_c.csv diff --git a/SurgeData/N=1000/966-peak+year_w.csv b/SurgeData/966-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/966-peak+year_w.csv rename to SurgeData/966-peak+year_w.csv diff --git a/SurgeData/N=1000/966-peak_c.csv b/SurgeData/966-peak_c.csv similarity index 100% rename from SurgeData/N=1000/966-peak_c.csv rename to SurgeData/966-peak_c.csv diff --git a/SurgeData/N=1000/966-peak_w.csv b/SurgeData/966-peak_w.csv similarity index 100% rename from SurgeData/N=1000/966-peak_w.csv rename to SurgeData/966-peak_w.csv diff --git a/SurgeData/N=1000/966-surge_c.csv b/SurgeData/966-surge_c.csv similarity index 100% rename from SurgeData/N=1000/966-surge_c.csv rename to SurgeData/966-surge_c.csv diff --git a/SurgeData/N=1000/966-surge_w.csv b/SurgeData/966-surge_w.csv similarity index 100% rename from SurgeData/N=1000/966-surge_w.csv rename to SurgeData/966-surge_w.csv diff --git a/SurgeData/N=1000/966-time_c.csv b/SurgeData/966-time_c.csv similarity index 100% rename from SurgeData/N=1000/966-time_c.csv rename to SurgeData/966-time_c.csv diff --git a/SurgeData/N=1000/966-time_w.csv b/SurgeData/966-time_w.csv similarity index 100% rename from SurgeData/N=1000/966-time_w.csv rename to SurgeData/966-time_w.csv diff --git a/SurgeData/N=1000/966-waterlevel_c.csv b/SurgeData/966-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/966-waterlevel_c.csv rename to SurgeData/966-waterlevel_c.csv diff --git a/SurgeData/N=1000/966-waterlevel_w.csv b/SurgeData/966-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/966-waterlevel_w.csv rename to SurgeData/966-waterlevel_w.csv diff --git a/SurgeData/967-num_storm.csv b/SurgeData/967-num_storm.csv new file mode 100644 index 00000000..d06bb337 --- /dev/null +++ b/SurgeData/967-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,0.0,7.0 +2022,0.0,6.0 +2023,1.0,2.0 +2024,1.0,4.0 +2025,0.0,1.0 +2026,4.0,3.0 +2027,1.0,2.0 +2028,2.0,1.0 +2029,2.0,4.0 +2030,0.0,2.0 +2031,2.0,1.0 +2032,1.0,4.0 +2033,3.0,6.0 +2034,2.0,5.0 +2035,2.0,3.0 +2036,1.0,5.0 +2037,2.0,5.0 +2038,3.0,4.0 +2039,1.0,2.0 +2040,4.0,8.0 +2041,1.0,4.0 +2042,1.0,4.0 +2043,3.0,2.0 +2044,1.0,2.0 +2045,1.0,10.0 +2046,0.0,3.0 +2047,3.0,4.0 +2048,1.0,4.0 +2049,1.0,1.0 +2050,0.0,4.0 +2051,0.0,2.0 +2052,2.0,5.0 +2053,2.0,5.0 +2054,1.0,3.0 +2055,2.0,6.0 +2056,0.0,4.0 +2057,1.0,5.0 +2058,1.0,3.0 +2059,0.0,2.0 +2060,2.0,3.0 +2061,0.0,3.0 +2062,0.0,1.0 +2063,3.0,7.0 +2064,2.0,6.0 +2065,1.0,3.0 +2066,0.0,3.0 +2067,1.0,7.0 +2068,2.0,1.0 +2069,1.0,4.0 +2070,3.0,0.0 +2071,6.0,7.0 +2072,5.0,3.0 +2073,2.0,5.0 +2074,0.0,5.0 +2075,2.0,3.0 +2076,1.0,5.0 +2077,3.0,1.0 +2078,3.0,3.0 +2079,0.0,2.0 +2080,3.0,7.0 +2081,0.0,4.0 +2082,3.0,6.0 +2083,2.0,2.0 +2084,2.0,6.0 +2085,0.0,3.0 +2086,2.0,2.0 +2087,4.0,5.0 +2088,1.0,2.0 +2089,1.0,5.0 +2090,1.0,7.0 +2091,1.0,3.0 +2092,0.0,5.0 +2093,2.0,4.0 +2094,0.0,0.0 +2095,1.0,1.0 +2096,1.0,6.0 +2097,2.0,3.0 +2098,4.0,2.0 +2099,2.0,2.0 +2100,2.0,1.0 diff --git a/SurgeData/N=1000/967-peak+year_c.csv b/SurgeData/967-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/967-peak+year_c.csv rename to SurgeData/967-peak+year_c.csv diff --git a/SurgeData/N=1000/967-peak+year_w.csv b/SurgeData/967-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/967-peak+year_w.csv rename to SurgeData/967-peak+year_w.csv diff --git a/SurgeData/N=1000/967-peak_c.csv b/SurgeData/967-peak_c.csv similarity index 100% rename from SurgeData/N=1000/967-peak_c.csv rename to SurgeData/967-peak_c.csv diff --git a/SurgeData/N=1000/967-peak_w.csv b/SurgeData/967-peak_w.csv similarity index 100% rename from SurgeData/N=1000/967-peak_w.csv rename to SurgeData/967-peak_w.csv diff --git a/SurgeData/N=1000/967-surge_c.csv b/SurgeData/967-surge_c.csv similarity index 100% rename from SurgeData/N=1000/967-surge_c.csv rename to SurgeData/967-surge_c.csv diff --git a/SurgeData/N=1000/967-surge_w.csv b/SurgeData/967-surge_w.csv similarity index 100% rename from SurgeData/N=1000/967-surge_w.csv rename to SurgeData/967-surge_w.csv diff --git a/SurgeData/N=1000/967-time_c.csv b/SurgeData/967-time_c.csv similarity index 100% rename from SurgeData/N=1000/967-time_c.csv rename to SurgeData/967-time_c.csv diff --git a/SurgeData/N=1000/967-time_w.csv b/SurgeData/967-time_w.csv similarity index 100% rename from SurgeData/N=1000/967-time_w.csv rename to SurgeData/967-time_w.csv diff --git a/SurgeData/N=1000/967-waterlevel_c.csv b/SurgeData/967-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/967-waterlevel_c.csv rename to SurgeData/967-waterlevel_c.csv diff --git a/SurgeData/N=1000/967-waterlevel_w.csv b/SurgeData/967-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/967-waterlevel_w.csv rename to SurgeData/967-waterlevel_w.csv diff --git a/SurgeData/968-num_storm.csv b/SurgeData/968-num_storm.csv new file mode 100644 index 00000000..b8e4cf2c --- /dev/null +++ b/SurgeData/968-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,2.0,1.0 +2022,3.0,3.0 +2023,0.0,4.0 +2024,2.0,8.0 +2025,2.0,7.0 +2026,1.0,4.0 +2027,3.0,8.0 +2028,1.0,4.0 +2029,2.0,6.0 +2030,1.0,0.0 +2031,2.0,10.0 +2032,1.0,1.0 +2033,2.0,6.0 +2034,2.0,6.0 +2035,2.0,2.0 +2036,0.0,7.0 +2037,2.0,3.0 +2038,1.0,2.0 +2039,2.0,5.0 +2040,0.0,7.0 +2041,1.0,7.0 +2042,0.0,4.0 +2043,0.0,1.0 +2044,0.0,7.0 +2045,0.0,7.0 +2046,0.0,6.0 +2047,1.0,5.0 +2048,0.0,2.0 +2049,2.0,8.0 +2050,0.0,2.0 +2051,1.0,7.0 +2052,2.0,4.0 +2053,3.0,4.0 +2054,2.0,2.0 +2055,1.0,11.0 +2056,2.0,1.0 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SurgeData/968-peak+year_w.csv diff --git a/SurgeData/N=1000/968-peak_c.csv b/SurgeData/968-peak_c.csv similarity index 100% rename from SurgeData/N=1000/968-peak_c.csv rename to SurgeData/968-peak_c.csv diff --git a/SurgeData/N=1000/968-peak_w.csv b/SurgeData/968-peak_w.csv similarity index 100% rename from SurgeData/N=1000/968-peak_w.csv rename to SurgeData/968-peak_w.csv diff --git a/SurgeData/N=1000/968-surge_c.csv b/SurgeData/968-surge_c.csv similarity index 100% rename from SurgeData/N=1000/968-surge_c.csv rename to SurgeData/968-surge_c.csv diff --git a/SurgeData/N=1000/968-surge_w.csv b/SurgeData/968-surge_w.csv similarity index 100% rename from SurgeData/N=1000/968-surge_w.csv rename to SurgeData/968-surge_w.csv diff --git a/SurgeData/N=1000/968-time_c.csv b/SurgeData/968-time_c.csv similarity index 100% rename from SurgeData/N=1000/968-time_c.csv rename to SurgeData/968-time_c.csv diff --git a/SurgeData/N=1000/968-time_w.csv b/SurgeData/968-time_w.csv similarity index 100% rename from SurgeData/N=1000/968-time_w.csv rename to SurgeData/968-time_w.csv diff --git a/SurgeData/N=1000/968-waterlevel_c.csv b/SurgeData/968-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/968-waterlevel_c.csv rename to SurgeData/968-waterlevel_c.csv diff --git a/SurgeData/N=1000/968-waterlevel_w.csv b/SurgeData/968-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/968-waterlevel_w.csv rename to SurgeData/968-waterlevel_w.csv diff --git a/SurgeData/969-num_storm.csv b/SurgeData/969-num_storm.csv new file mode 100644 index 00000000..e7663a03 --- /dev/null +++ b/SurgeData/969-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,9.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,2.0,6.0 +2024,3.0,4.0 +2025,1.0,5.0 +2026,0.0,3.0 +2027,2.0,6.0 +2028,2.0,2.0 +2029,1.0,6.0 +2030,0.0,3.0 +2031,1.0,9.0 +2032,2.0,6.0 +2033,1.0,3.0 +2034,0.0,5.0 +2035,1.0,3.0 +2036,2.0,1.0 +2037,1.0,5.0 +2038,2.0,6.0 +2039,2.0,5.0 +2040,1.0,4.0 +2041,2.0,5.0 +2042,2.0,2.0 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SurgeData/969-peak+year_c.csv diff --git a/SurgeData/N=1000/969-peak+year_w.csv b/SurgeData/969-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/969-peak+year_w.csv rename to SurgeData/969-peak+year_w.csv diff --git a/SurgeData/N=1000/969-peak_c.csv b/SurgeData/969-peak_c.csv similarity index 100% rename from SurgeData/N=1000/969-peak_c.csv rename to SurgeData/969-peak_c.csv diff --git a/SurgeData/N=1000/969-peak_w.csv b/SurgeData/969-peak_w.csv similarity index 100% rename from SurgeData/N=1000/969-peak_w.csv rename to SurgeData/969-peak_w.csv diff --git a/SurgeData/N=1000/969-surge_c.csv b/SurgeData/969-surge_c.csv similarity index 100% rename from SurgeData/N=1000/969-surge_c.csv rename to SurgeData/969-surge_c.csv diff --git a/SurgeData/N=1000/969-surge_w.csv b/SurgeData/969-surge_w.csv similarity index 100% rename from SurgeData/N=1000/969-surge_w.csv rename to SurgeData/969-surge_w.csv diff --git a/SurgeData/N=1000/969-time_c.csv b/SurgeData/969-time_c.csv similarity index 100% rename from SurgeData/N=1000/969-time_c.csv rename to SurgeData/969-time_c.csv diff --git a/SurgeData/N=1000/969-time_w.csv b/SurgeData/969-time_w.csv similarity index 100% rename from SurgeData/N=1000/969-time_w.csv rename to SurgeData/969-time_w.csv diff --git a/SurgeData/N=1000/969-waterlevel_c.csv b/SurgeData/969-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/969-waterlevel_c.csv rename to SurgeData/969-waterlevel_c.csv diff --git a/SurgeData/N=1000/969-waterlevel_w.csv b/SurgeData/969-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/969-waterlevel_w.csv rename to SurgeData/969-waterlevel_w.csv diff --git a/SurgeData/97-num_storm.csv b/SurgeData/97-num_storm.csv new file mode 100644 index 00000000..e328d150 --- /dev/null +++ b/SurgeData/97-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,2.0,5.0 +2022,0.0,3.0 +2023,3.0,6.0 +2024,1.0,7.0 +2025,0.0,8.0 +2026,1.0,3.0 +2027,2.0,5.0 +2028,0.0,2.0 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+2100,1.0,1.0 diff --git a/SurgeData/N=1000/97-peak+year_c.csv b/SurgeData/97-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/97-peak+year_c.csv rename to SurgeData/97-peak+year_c.csv diff --git a/SurgeData/N=1000/97-peak+year_w.csv b/SurgeData/97-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/97-peak+year_w.csv rename to SurgeData/97-peak+year_w.csv diff --git a/SurgeData/N=1000/97-peak_c.csv b/SurgeData/97-peak_c.csv similarity index 100% rename from SurgeData/N=1000/97-peak_c.csv rename to SurgeData/97-peak_c.csv diff --git a/SurgeData/N=1000/97-peak_w.csv b/SurgeData/97-peak_w.csv similarity index 100% rename from SurgeData/N=1000/97-peak_w.csv rename to SurgeData/97-peak_w.csv diff --git a/SurgeData/N=1000/97-surge_c.csv b/SurgeData/97-surge_c.csv similarity index 100% rename from SurgeData/N=1000/97-surge_c.csv rename to SurgeData/97-surge_c.csv diff --git a/SurgeData/N=1000/97-surge_w.csv b/SurgeData/97-surge_w.csv similarity index 100% rename from SurgeData/N=1000/97-surge_w.csv rename to SurgeData/97-surge_w.csv diff --git a/SurgeData/N=1000/97-time_c.csv b/SurgeData/97-time_c.csv similarity index 100% rename from SurgeData/N=1000/97-time_c.csv rename to SurgeData/97-time_c.csv diff --git a/SurgeData/N=1000/97-time_w.csv b/SurgeData/97-time_w.csv similarity index 100% rename from SurgeData/N=1000/97-time_w.csv rename to SurgeData/97-time_w.csv diff --git a/SurgeData/N=1000/97-waterlevel_c.csv b/SurgeData/97-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/97-waterlevel_c.csv rename to SurgeData/97-waterlevel_c.csv diff --git a/SurgeData/N=1000/97-waterlevel_w.csv b/SurgeData/97-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/97-waterlevel_w.csv rename to SurgeData/97-waterlevel_w.csv diff --git a/SurgeData/970-num_storm.csv b/SurgeData/970-num_storm.csv new file mode 100644 index 00000000..d4356cea --- /dev/null +++ b/SurgeData/970-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,0.0,2.0 +2022,2.0,5.0 +2023,1.0,5.0 +2024,2.0,3.0 +2025,1.0,2.0 +2026,0.0,6.0 +2027,4.0,3.0 +2028,2.0,4.0 +2029,1.0,5.0 +2030,2.0,3.0 +2031,2.0,6.0 +2032,1.0,3.0 +2033,2.0,6.0 +2034,1.0,1.0 +2035,0.0,10.0 +2036,2.0,5.0 +2037,2.0,10.0 +2038,1.0,1.0 +2039,2.0,1.0 +2040,4.0,5.0 +2041,3.0,5.0 +2042,1.0,6.0 +2043,1.0,4.0 +2044,0.0,5.0 +2045,0.0,4.0 +2046,0.0,1.0 +2047,2.0,2.0 +2048,1.0,1.0 +2049,2.0,5.0 +2050,1.0,6.0 +2051,2.0,7.0 +2052,0.0,6.0 +2053,0.0,8.0 +2054,3.0,3.0 +2055,1.0,4.0 +2056,2.0,3.0 +2057,1.0,1.0 +2058,2.0,6.0 +2059,2.0,6.0 +2060,0.0,9.0 +2061,2.0,2.0 +2062,4.0,5.0 +2063,2.0,3.0 +2064,2.0,3.0 +2065,1.0,6.0 +2066,0.0,3.0 +2067,3.0,7.0 +2068,1.0,2.0 +2069,1.0,2.0 +2070,1.0,6.0 +2071,1.0,1.0 +2072,1.0,3.0 +2073,2.0,5.0 +2074,2.0,3.0 +2075,2.0,2.0 +2076,4.0,5.0 +2077,1.0,4.0 +2078,1.0,3.0 +2079,1.0,6.0 +2080,5.0,6.0 +2081,3.0,2.0 +2082,2.0,1.0 +2083,1.0,1.0 +2084,1.0,1.0 +2085,1.0,7.0 +2086,0.0,1.0 +2087,1.0,8.0 +2088,1.0,1.0 +2089,2.0,4.0 +2090,0.0,3.0 +2091,2.0,5.0 +2092,1.0,10.0 +2093,2.0,4.0 +2094,4.0,1.0 +2095,3.0,5.0 +2096,3.0,3.0 +2097,1.0,8.0 +2098,1.0,5.0 +2099,0.0,5.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/970-peak+year_c.csv b/SurgeData/970-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/970-peak+year_c.csv rename to SurgeData/970-peak+year_c.csv diff --git a/SurgeData/N=1000/970-peak+year_w.csv b/SurgeData/970-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/970-peak+year_w.csv rename to SurgeData/970-peak+year_w.csv diff --git a/SurgeData/N=1000/970-peak_c.csv b/SurgeData/970-peak_c.csv similarity index 100% rename from SurgeData/N=1000/970-peak_c.csv rename to SurgeData/970-peak_c.csv diff --git a/SurgeData/N=1000/970-peak_w.csv b/SurgeData/970-peak_w.csv similarity index 100% rename from SurgeData/N=1000/970-peak_w.csv rename to SurgeData/970-peak_w.csv diff --git a/SurgeData/N=1000/970-surge_c.csv b/SurgeData/970-surge_c.csv similarity index 100% rename from SurgeData/N=1000/970-surge_c.csv rename to SurgeData/970-surge_c.csv diff --git a/SurgeData/N=1000/970-surge_w.csv b/SurgeData/970-surge_w.csv similarity index 100% rename from SurgeData/N=1000/970-surge_w.csv rename to SurgeData/970-surge_w.csv diff --git a/SurgeData/N=1000/970-time_c.csv b/SurgeData/970-time_c.csv similarity index 100% rename from SurgeData/N=1000/970-time_c.csv rename to SurgeData/970-time_c.csv diff --git a/SurgeData/N=1000/970-time_w.csv b/SurgeData/970-time_w.csv similarity index 100% rename from SurgeData/N=1000/970-time_w.csv rename to SurgeData/970-time_w.csv diff --git a/SurgeData/N=1000/970-waterlevel_c.csv b/SurgeData/970-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/970-waterlevel_c.csv rename to SurgeData/970-waterlevel_c.csv diff --git a/SurgeData/N=1000/970-waterlevel_w.csv b/SurgeData/970-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/970-waterlevel_w.csv rename to SurgeData/970-waterlevel_w.csv diff --git a/SurgeData/971-num_storm.csv b/SurgeData/971-num_storm.csv new file mode 100644 index 00000000..b4a27bba --- /dev/null +++ b/SurgeData/971-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,2.0 +2022,2.0,6.0 +2023,4.0,4.0 +2024,1.0,6.0 +2025,0.0,5.0 +2026,1.0,2.0 +2027,2.0,5.0 +2028,1.0,3.0 +2029,1.0,8.0 +2030,1.0,3.0 +2031,0.0,5.0 +2032,3.0,4.0 +2033,0.0,4.0 +2034,3.0,3.0 +2035,1.0,6.0 +2036,3.0,6.0 +2037,1.0,4.0 +2038,0.0,5.0 +2039,4.0,6.0 +2040,1.0,7.0 +2041,1.0,5.0 +2042,0.0,6.0 +2043,1.0,3.0 +2044,3.0,5.0 +2045,2.0,5.0 +2046,4.0,4.0 +2047,1.0,7.0 +2048,0.0,3.0 +2049,2.0,4.0 +2050,2.0,5.0 +2051,5.0,6.0 +2052,2.0,6.0 +2053,0.0,4.0 +2054,2.0,7.0 +2055,0.0,7.0 +2056,2.0,8.0 +2057,0.0,4.0 +2058,0.0,7.0 +2059,1.0,5.0 +2060,3.0,2.0 +2061,1.0,3.0 +2062,0.0,4.0 +2063,3.0,1.0 +2064,2.0,4.0 +2065,2.0,7.0 +2066,2.0,3.0 +2067,0.0,5.0 +2068,0.0,2.0 +2069,3.0,4.0 +2070,1.0,3.0 +2071,1.0,2.0 +2072,0.0,3.0 +2073,3.0,5.0 +2074,1.0,2.0 +2075,0.0,7.0 +2076,0.0,2.0 +2077,1.0,4.0 +2078,2.0,6.0 +2079,1.0,0.0 +2080,2.0,4.0 +2081,1.0,3.0 +2082,1.0,4.0 +2083,1.0,2.0 +2084,1.0,5.0 +2085,1.0,2.0 +2086,0.0,3.0 +2087,0.0,7.0 +2088,1.0,8.0 +2089,1.0,1.0 +2090,1.0,4.0 +2091,3.0,3.0 +2092,0.0,5.0 +2093,2.0,7.0 +2094,2.0,4.0 +2095,1.0,2.0 +2096,3.0,4.0 +2097,0.0,4.0 +2098,2.0,5.0 +2099,1.0,11.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/971-peak+year_c.csv b/SurgeData/971-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/971-peak+year_c.csv rename to SurgeData/971-peak+year_c.csv diff --git a/SurgeData/N=1000/971-peak+year_w.csv b/SurgeData/971-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/971-peak+year_w.csv rename to SurgeData/971-peak+year_w.csv diff --git a/SurgeData/N=1000/971-peak_c.csv b/SurgeData/971-peak_c.csv similarity index 100% rename from SurgeData/N=1000/971-peak_c.csv rename to SurgeData/971-peak_c.csv diff --git a/SurgeData/N=1000/971-peak_w.csv b/SurgeData/971-peak_w.csv similarity index 100% rename from SurgeData/N=1000/971-peak_w.csv rename to SurgeData/971-peak_w.csv diff --git a/SurgeData/N=1000/971-surge_c.csv b/SurgeData/971-surge_c.csv similarity index 100% rename from SurgeData/N=1000/971-surge_c.csv rename to SurgeData/971-surge_c.csv diff --git a/SurgeData/N=1000/971-surge_w.csv b/SurgeData/971-surge_w.csv similarity index 100% rename from SurgeData/N=1000/971-surge_w.csv rename to SurgeData/971-surge_w.csv diff --git a/SurgeData/N=1000/971-time_c.csv b/SurgeData/971-time_c.csv similarity index 100% rename from SurgeData/N=1000/971-time_c.csv rename to SurgeData/971-time_c.csv diff --git a/SurgeData/N=1000/971-time_w.csv b/SurgeData/971-time_w.csv similarity index 100% rename from SurgeData/N=1000/971-time_w.csv rename to SurgeData/971-time_w.csv diff --git a/SurgeData/N=1000/971-waterlevel_c.csv b/SurgeData/971-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/971-waterlevel_c.csv rename to SurgeData/971-waterlevel_c.csv diff --git a/SurgeData/N=1000/971-waterlevel_w.csv b/SurgeData/971-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/971-waterlevel_w.csv rename to SurgeData/971-waterlevel_w.csv diff --git a/SurgeData/972-num_storm.csv b/SurgeData/972-num_storm.csv new file mode 100644 index 00000000..6ede2f7a --- /dev/null +++ b/SurgeData/972-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,5.0 +2022,1.0,8.0 +2023,4.0,4.0 +2024,2.0,6.0 +2025,1.0,7.0 +2026,2.0,5.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,1.0,3.0 +2030,2.0,5.0 +2031,0.0,5.0 +2032,0.0,3.0 +2033,1.0,7.0 +2034,2.0,3.0 +2035,2.0,5.0 +2036,1.0,6.0 +2037,2.0,5.0 +2038,0.0,3.0 +2039,3.0,6.0 +2040,1.0,7.0 +2041,3.0,5.0 +2042,3.0,1.0 +2043,1.0,3.0 +2044,1.0,2.0 +2045,0.0,6.0 +2046,0.0,2.0 +2047,0.0,7.0 +2048,2.0,2.0 +2049,1.0,2.0 +2050,0.0,5.0 +2051,2.0,6.0 +2052,1.0,4.0 +2053,4.0,4.0 +2054,2.0,4.0 +2055,1.0,1.0 +2056,0.0,8.0 +2057,1.0,6.0 +2058,1.0,4.0 +2059,2.0,2.0 +2060,0.0,4.0 +2061,1.0,6.0 +2062,1.0,1.0 +2063,1.0,9.0 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rename from SurgeData/N=1000/972-peak_c.csv rename to SurgeData/972-peak_c.csv diff --git a/SurgeData/N=1000/972-peak_w.csv b/SurgeData/972-peak_w.csv similarity index 100% rename from SurgeData/N=1000/972-peak_w.csv rename to SurgeData/972-peak_w.csv diff --git a/SurgeData/N=1000/972-surge_c.csv b/SurgeData/972-surge_c.csv similarity index 100% rename from SurgeData/N=1000/972-surge_c.csv rename to SurgeData/972-surge_c.csv diff --git a/SurgeData/N=1000/972-surge_w.csv b/SurgeData/972-surge_w.csv similarity index 100% rename from SurgeData/N=1000/972-surge_w.csv rename to SurgeData/972-surge_w.csv diff --git a/SurgeData/N=1000/972-time_c.csv b/SurgeData/972-time_c.csv similarity index 100% rename from SurgeData/N=1000/972-time_c.csv rename to SurgeData/972-time_c.csv diff --git a/SurgeData/N=1000/972-time_w.csv b/SurgeData/972-time_w.csv similarity index 100% rename from SurgeData/N=1000/972-time_w.csv rename to SurgeData/972-time_w.csv diff --git a/SurgeData/N=1000/972-waterlevel_c.csv b/SurgeData/972-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/972-waterlevel_c.csv rename to SurgeData/972-waterlevel_c.csv diff --git a/SurgeData/N=1000/972-waterlevel_w.csv b/SurgeData/972-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/972-waterlevel_w.csv rename to SurgeData/972-waterlevel_w.csv diff --git a/SurgeData/973-num_storm.csv b/SurgeData/973-num_storm.csv new file mode 100644 index 00000000..61d17a67 --- /dev/null +++ b/SurgeData/973-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,0.0,5.0 +2022,2.0,5.0 +2023,0.0,9.0 +2024,1.0,7.0 +2025,0.0,4.0 +2026,0.0,1.0 +2027,2.0,1.0 +2028,1.0,2.0 +2029,2.0,1.0 +2030,1.0,6.0 +2031,1.0,5.0 +2032,0.0,4.0 +2033,1.0,5.0 +2034,1.0,3.0 +2035,2.0,3.0 +2036,1.0,6.0 +2037,3.0,4.0 +2038,1.0,3.0 +2039,2.0,5.0 +2040,2.0,4.0 +2041,2.0,4.0 +2042,1.0,0.0 +2043,2.0,2.0 +2044,0.0,2.0 +2045,3.0,2.0 +2046,1.0,3.0 +2047,2.0,1.0 +2048,0.0,4.0 +2049,1.0,4.0 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index 100% rename from SurgeData/N=1000/973-peak+year_w.csv rename to SurgeData/973-peak+year_w.csv diff --git a/SurgeData/N=1000/973-peak_c.csv b/SurgeData/973-peak_c.csv similarity index 100% rename from SurgeData/N=1000/973-peak_c.csv rename to SurgeData/973-peak_c.csv diff --git a/SurgeData/N=1000/973-peak_w.csv b/SurgeData/973-peak_w.csv similarity index 100% rename from SurgeData/N=1000/973-peak_w.csv rename to SurgeData/973-peak_w.csv diff --git a/SurgeData/N=1000/973-surge_c.csv b/SurgeData/973-surge_c.csv similarity index 100% rename from SurgeData/N=1000/973-surge_c.csv rename to SurgeData/973-surge_c.csv diff --git a/SurgeData/N=1000/973-surge_w.csv b/SurgeData/973-surge_w.csv similarity index 100% rename from SurgeData/N=1000/973-surge_w.csv rename to SurgeData/973-surge_w.csv diff --git a/SurgeData/N=1000/973-time_c.csv b/SurgeData/973-time_c.csv similarity index 100% rename from SurgeData/N=1000/973-time_c.csv rename to SurgeData/973-time_c.csv diff --git a/SurgeData/N=1000/973-time_w.csv b/SurgeData/973-time_w.csv similarity index 100% rename from SurgeData/N=1000/973-time_w.csv rename to SurgeData/973-time_w.csv diff --git a/SurgeData/N=1000/973-waterlevel_c.csv b/SurgeData/973-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/973-waterlevel_c.csv rename to SurgeData/973-waterlevel_c.csv diff --git a/SurgeData/N=1000/973-waterlevel_w.csv b/SurgeData/973-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/973-waterlevel_w.csv rename to SurgeData/973-waterlevel_w.csv diff --git a/SurgeData/974-num_storm.csv b/SurgeData/974-num_storm.csv new file mode 100644 index 00000000..25fbf521 --- /dev/null +++ b/SurgeData/974-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,4.0,1.0 +2022,0.0,3.0 +2023,4.0,6.0 +2024,0.0,4.0 +2025,2.0,6.0 +2026,2.0,2.0 +2027,1.0,6.0 +2028,1.0,6.0 +2029,2.0,6.0 +2030,1.0,7.0 +2031,2.0,2.0 +2032,2.0,4.0 +2033,0.0,4.0 +2034,1.0,4.0 +2035,1.0,3.0 +2036,2.0,8.0 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rename from SurgeData/N=1000/974-peak+year_c.csv rename to SurgeData/974-peak+year_c.csv diff --git a/SurgeData/N=1000/974-peak+year_w.csv b/SurgeData/974-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/974-peak+year_w.csv rename to SurgeData/974-peak+year_w.csv diff --git a/SurgeData/N=1000/974-peak_c.csv b/SurgeData/974-peak_c.csv similarity index 100% rename from SurgeData/N=1000/974-peak_c.csv rename to SurgeData/974-peak_c.csv diff --git a/SurgeData/N=1000/974-peak_w.csv b/SurgeData/974-peak_w.csv similarity index 100% rename from SurgeData/N=1000/974-peak_w.csv rename to SurgeData/974-peak_w.csv diff --git a/SurgeData/N=1000/974-surge_c.csv b/SurgeData/974-surge_c.csv similarity index 100% rename from SurgeData/N=1000/974-surge_c.csv rename to SurgeData/974-surge_c.csv diff --git a/SurgeData/N=1000/974-surge_w.csv b/SurgeData/974-surge_w.csv similarity index 100% rename from SurgeData/N=1000/974-surge_w.csv rename to SurgeData/974-surge_w.csv diff --git a/SurgeData/N=1000/974-time_c.csv b/SurgeData/974-time_c.csv similarity index 100% rename from SurgeData/N=1000/974-time_c.csv rename to SurgeData/974-time_c.csv diff --git a/SurgeData/N=1000/974-time_w.csv b/SurgeData/974-time_w.csv similarity index 100% rename from SurgeData/N=1000/974-time_w.csv rename to SurgeData/974-time_w.csv diff --git a/SurgeData/N=1000/974-waterlevel_c.csv b/SurgeData/974-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/974-waterlevel_c.csv rename to SurgeData/974-waterlevel_c.csv diff --git a/SurgeData/N=1000/974-waterlevel_w.csv b/SurgeData/974-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/974-waterlevel_w.csv rename to SurgeData/974-waterlevel_w.csv diff --git a/SurgeData/975-num_storm.csv b/SurgeData/975-num_storm.csv new file mode 100644 index 00000000..569d035f --- /dev/null +++ b/SurgeData/975-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,1.0,2.0 +2022,0.0,4.0 +2023,1.0,1.0 +2024,1.0,1.0 +2025,0.0,2.0 +2026,0.0,6.0 +2027,1.0,6.0 +2028,1.0,5.0 +2029,1.0,3.0 +2030,1.0,5.0 +2031,1.0,3.0 +2032,0.0,4.0 +2033,3.0,5.0 +2034,1.0,2.0 +2035,2.0,5.0 +2036,2.0,4.0 +2037,1.0,1.0 +2038,1.0,4.0 +2039,2.0,2.0 +2040,2.0,5.0 +2041,2.0,1.0 +2042,0.0,2.0 +2043,1.0,3.0 +2044,1.0,1.0 +2045,1.0,1.0 +2046,1.0,2.0 +2047,3.0,4.0 +2048,0.0,6.0 +2049,1.0,5.0 +2050,1.0,4.0 +2051,4.0,5.0 +2052,1.0,5.0 +2053,0.0,4.0 +2054,1.0,6.0 +2055,1.0,5.0 +2056,2.0,4.0 +2057,2.0,5.0 +2058,1.0,6.0 +2059,4.0,4.0 +2060,1.0,1.0 +2061,2.0,4.0 +2062,1.0,7.0 +2063,1.0,2.0 +2064,4.0,6.0 +2065,2.0,4.0 +2066,4.0,4.0 +2067,1.0,4.0 +2068,0.0,2.0 +2069,4.0,3.0 +2070,1.0,6.0 +2071,0.0,6.0 +2072,0.0,1.0 +2073,3.0,8.0 +2074,3.0,1.0 +2075,2.0,5.0 +2076,2.0,6.0 +2077,2.0,1.0 +2078,1.0,2.0 +2079,1.0,5.0 +2080,0.0,4.0 +2081,2.0,6.0 +2082,1.0,3.0 +2083,2.0,4.0 +2084,1.0,6.0 +2085,1.0,2.0 +2086,1.0,2.0 +2087,1.0,2.0 +2088,0.0,6.0 +2089,2.0,4.0 +2090,0.0,4.0 +2091,0.0,1.0 +2092,1.0,4.0 +2093,0.0,4.0 +2094,6.0,1.0 +2095,3.0,6.0 +2096,2.0,0.0 +2097,1.0,1.0 +2098,0.0,3.0 +2099,1.0,3.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/975-peak+year_c.csv b/SurgeData/975-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/975-peak+year_c.csv rename to SurgeData/975-peak+year_c.csv diff --git a/SurgeData/N=1000/975-peak+year_w.csv b/SurgeData/975-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/975-peak+year_w.csv rename to SurgeData/975-peak+year_w.csv diff --git a/SurgeData/N=1000/975-peak_c.csv b/SurgeData/975-peak_c.csv similarity index 100% rename from SurgeData/N=1000/975-peak_c.csv rename to SurgeData/975-peak_c.csv diff --git a/SurgeData/N=1000/975-peak_w.csv b/SurgeData/975-peak_w.csv similarity index 100% rename from SurgeData/N=1000/975-peak_w.csv rename to SurgeData/975-peak_w.csv diff --git a/SurgeData/N=1000/975-surge_c.csv b/SurgeData/975-surge_c.csv similarity index 100% rename from SurgeData/N=1000/975-surge_c.csv rename to SurgeData/975-surge_c.csv diff --git a/SurgeData/N=1000/975-surge_w.csv b/SurgeData/975-surge_w.csv similarity index 100% rename from SurgeData/N=1000/975-surge_w.csv rename to SurgeData/975-surge_w.csv diff --git a/SurgeData/N=1000/975-time_c.csv b/SurgeData/975-time_c.csv similarity index 100% rename from SurgeData/N=1000/975-time_c.csv rename to SurgeData/975-time_c.csv diff --git a/SurgeData/N=1000/975-time_w.csv b/SurgeData/975-time_w.csv similarity index 100% rename from SurgeData/N=1000/975-time_w.csv rename to SurgeData/975-time_w.csv diff --git a/SurgeData/N=1000/975-waterlevel_c.csv b/SurgeData/975-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/975-waterlevel_c.csv rename to SurgeData/975-waterlevel_c.csv diff --git a/SurgeData/N=1000/975-waterlevel_w.csv b/SurgeData/975-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/975-waterlevel_w.csv rename to SurgeData/975-waterlevel_w.csv diff --git a/SurgeData/N=1000/976-peak+year_c.csv b/SurgeData/976-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/976-peak+year_c.csv rename to SurgeData/976-peak+year_c.csv diff --git a/SurgeData/N=1000/976-peak+year_w.csv b/SurgeData/976-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/976-peak+year_w.csv rename to SurgeData/976-peak+year_w.csv diff --git a/SurgeData/N=1000/976-peak_c.csv b/SurgeData/976-peak_c.csv similarity index 100% rename from SurgeData/N=1000/976-peak_c.csv rename to SurgeData/976-peak_c.csv diff --git a/SurgeData/N=1000/976-peak_w.csv b/SurgeData/976-peak_w.csv similarity index 100% rename from SurgeData/N=1000/976-peak_w.csv rename to SurgeData/976-peak_w.csv diff --git a/SurgeData/N=1000/976-surge_c.csv b/SurgeData/976-surge_c.csv similarity index 100% rename from SurgeData/N=1000/976-surge_c.csv rename to SurgeData/976-surge_c.csv diff --git a/SurgeData/N=1000/976-surge_w.csv b/SurgeData/976-surge_w.csv similarity index 100% rename from SurgeData/N=1000/976-surge_w.csv rename to SurgeData/976-surge_w.csv diff --git a/SurgeData/N=1000/976-time_c.csv b/SurgeData/976-time_c.csv similarity index 100% rename from SurgeData/N=1000/976-time_c.csv rename to SurgeData/976-time_c.csv diff --git a/SurgeData/N=1000/976-time_w.csv b/SurgeData/976-time_w.csv similarity index 100% rename from SurgeData/N=1000/976-time_w.csv rename to SurgeData/976-time_w.csv diff --git a/SurgeData/N=1000/976-waterlevel_c.csv b/SurgeData/976-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/976-waterlevel_c.csv rename to SurgeData/976-waterlevel_c.csv diff --git a/SurgeData/N=1000/976-waterlevel_w.csv b/SurgeData/976-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/976-waterlevel_w.csv rename to SurgeData/976-waterlevel_w.csv diff --git a/SurgeData/977-num_storm.csv b/SurgeData/977-num_storm.csv new file mode 100644 index 00000000..75a0561c --- /dev/null +++ b/SurgeData/977-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,3.0 +2021,1.0,7.0 +2022,4.0,0.0 +2023,2.0,6.0 +2024,1.0,4.0 +2025,1.0,3.0 +2026,2.0,3.0 +2027,0.0,5.0 +2028,1.0,4.0 +2029,3.0,6.0 +2030,1.0,5.0 +2031,3.0,6.0 +2032,0.0,4.0 +2033,2.0,4.0 +2034,0.0,4.0 +2035,2.0,2.0 +2036,2.0,3.0 +2037,1.0,5.0 +2038,0.0,2.0 +2039,0.0,3.0 +2040,2.0,8.0 +2041,1.0,3.0 +2042,5.0,2.0 +2043,0.0,7.0 +2044,2.0,3.0 +2045,2.0,7.0 +2046,0.0,8.0 +2047,1.0,3.0 +2048,2.0,3.0 +2049,1.0,3.0 +2050,1.0,8.0 +2051,1.0,1.0 +2052,1.0,6.0 +2053,1.0,4.0 +2054,4.0,3.0 +2055,0.0,7.0 +2056,2.0,5.0 +2057,2.0,4.0 +2058,4.0,6.0 +2059,0.0,6.0 +2060,1.0,4.0 +2061,2.0,2.0 +2062,1.0,4.0 +2063,2.0,6.0 +2064,1.0,1.0 +2065,0.0,2.0 +2066,0.0,5.0 +2067,5.0,4.0 +2068,0.0,9.0 +2069,2.0,5.0 +2070,1.0,5.0 +2071,4.0,4.0 +2072,0.0,5.0 +2073,3.0,0.0 +2074,0.0,5.0 +2075,1.0,5.0 +2076,2.0,1.0 +2077,5.0,6.0 +2078,3.0,7.0 +2079,0.0,2.0 +2080,2.0,3.0 +2081,0.0,3.0 +2082,0.0,3.0 +2083,5.0,3.0 +2084,4.0,5.0 +2085,2.0,5.0 +2086,4.0,4.0 +2087,1.0,4.0 +2088,3.0,0.0 +2089,1.0,2.0 +2090,4.0,2.0 +2091,0.0,2.0 +2092,1.0,8.0 +2093,0.0,5.0 +2094,3.0,6.0 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--git a/SurgeData/N=1000/977-surge_w.csv b/SurgeData/977-surge_w.csv similarity index 100% rename from SurgeData/N=1000/977-surge_w.csv rename to SurgeData/977-surge_w.csv diff --git a/SurgeData/N=1000/977-time_c.csv b/SurgeData/977-time_c.csv similarity index 100% rename from SurgeData/N=1000/977-time_c.csv rename to SurgeData/977-time_c.csv diff --git a/SurgeData/N=1000/977-time_w.csv b/SurgeData/977-time_w.csv similarity index 100% rename from SurgeData/N=1000/977-time_w.csv rename to SurgeData/977-time_w.csv diff --git a/SurgeData/N=1000/977-waterlevel_c.csv b/SurgeData/977-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/977-waterlevel_c.csv rename to SurgeData/977-waterlevel_c.csv diff --git a/SurgeData/N=1000/977-waterlevel_w.csv b/SurgeData/977-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/977-waterlevel_w.csv rename to SurgeData/977-waterlevel_w.csv diff --git a/SurgeData/978-num_storm.csv b/SurgeData/978-num_storm.csv new file mode 100644 index 00000000..8c1e5b9a --- /dev/null +++ b/SurgeData/978-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,4.0 +2021,1.0,3.0 +2022,1.0,2.0 +2023,2.0,6.0 +2024,4.0,2.0 +2025,2.0,3.0 +2026,2.0,4.0 +2027,0.0,4.0 +2028,2.0,2.0 +2029,0.0,3.0 +2030,1.0,3.0 +2031,1.0,3.0 +2032,1.0,4.0 +2033,1.0,7.0 +2034,2.0,2.0 +2035,0.0,4.0 +2036,1.0,8.0 +2037,1.0,2.0 +2038,1.0,4.0 +2039,3.0,2.0 +2040,1.0,2.0 +2041,1.0,5.0 +2042,1.0,2.0 +2043,1.0,4.0 +2044,5.0,5.0 +2045,1.0,0.0 +2046,0.0,5.0 +2047,1.0,5.0 +2048,1.0,3.0 +2049,4.0,2.0 +2050,1.0,5.0 +2051,2.0,5.0 +2052,1.0,1.0 +2053,0.0,6.0 +2054,2.0,5.0 +2055,4.0,2.0 +2056,0.0,4.0 +2057,1.0,5.0 +2058,1.0,2.0 +2059,0.0,2.0 +2060,0.0,2.0 +2061,1.0,4.0 +2062,0.0,5.0 +2063,2.0,4.0 +2064,5.0,1.0 +2065,0.0,7.0 +2066,0.0,3.0 +2067,1.0,5.0 +2068,1.0,3.0 +2069,3.0,9.0 +2070,4.0,5.0 +2071,4.0,4.0 +2072,0.0,1.0 +2073,2.0,3.0 +2074,3.0,4.0 +2075,1.0,4.0 +2076,1.0,5.0 +2077,0.0,5.0 +2078,2.0,7.0 +2079,0.0,2.0 +2080,0.0,4.0 +2081,1.0,6.0 +2082,1.0,2.0 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a/SurgeData/N=1000/978-surge_c.csv b/SurgeData/978-surge_c.csv similarity index 100% rename from SurgeData/N=1000/978-surge_c.csv rename to SurgeData/978-surge_c.csv diff --git a/SurgeData/N=1000/978-surge_w.csv b/SurgeData/978-surge_w.csv similarity index 100% rename from SurgeData/N=1000/978-surge_w.csv rename to SurgeData/978-surge_w.csv diff --git a/SurgeData/N=1000/978-time_c.csv b/SurgeData/978-time_c.csv similarity index 100% rename from SurgeData/N=1000/978-time_c.csv rename to SurgeData/978-time_c.csv diff --git a/SurgeData/N=1000/978-time_w.csv b/SurgeData/978-time_w.csv similarity index 100% rename from SurgeData/N=1000/978-time_w.csv rename to SurgeData/978-time_w.csv diff --git a/SurgeData/N=1000/978-waterlevel_c.csv b/SurgeData/978-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/978-waterlevel_c.csv rename to SurgeData/978-waterlevel_c.csv diff --git a/SurgeData/N=1000/978-waterlevel_w.csv b/SurgeData/978-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/978-waterlevel_w.csv rename to SurgeData/978-waterlevel_w.csv diff --git a/SurgeData/979-num_storm.csv b/SurgeData/979-num_storm.csv new file mode 100644 index 00000000..c2bf4b9f --- /dev/null +++ b/SurgeData/979-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,2.0 +2021,2.0,6.0 +2022,0.0,5.0 +2023,0.0,5.0 +2024,2.0,5.0 +2025,5.0,5.0 +2026,0.0,4.0 +2027,0.0,3.0 +2028,0.0,5.0 +2029,1.0,3.0 +2030,2.0,4.0 +2031,2.0,2.0 +2032,3.0,3.0 +2033,1.0,7.0 +2034,1.0,0.0 +2035,5.0,5.0 +2036,4.0,3.0 +2037,2.0,5.0 +2038,2.0,2.0 +2039,0.0,4.0 +2040,1.0,4.0 +2041,1.0,6.0 +2042,3.0,1.0 +2043,0.0,2.0 +2044,4.0,5.0 +2045,2.0,4.0 +2046,3.0,4.0 +2047,1.0,5.0 +2048,1.0,5.0 +2049,3.0,3.0 +2050,1.0,3.0 +2051,1.0,7.0 +2052,2.0,2.0 +2053,3.0,4.0 +2054,0.0,5.0 +2055,1.0,4.0 +2056,1.0,1.0 +2057,4.0,3.0 +2058,5.0,1.0 +2059,2.0,4.0 +2060,1.0,3.0 +2061,4.0,4.0 +2062,1.0,2.0 +2063,3.0,5.0 +2064,1.0,3.0 +2065,6.0,3.0 +2066,1.0,2.0 +2067,1.0,5.0 +2068,0.0,2.0 +2069,1.0,2.0 +2070,2.0,6.0 +2071,2.0,2.0 +2072,1.0,3.0 +2073,2.0,7.0 +2074,4.0,6.0 +2075,1.0,4.0 +2076,0.0,1.0 +2077,3.0,3.0 +2078,2.0,5.0 +2079,1.0,7.0 +2080,2.0,4.0 +2081,1.0,6.0 +2082,4.0,7.0 +2083,0.0,5.0 +2084,1.0,4.0 +2085,1.0,6.0 +2086,1.0,1.0 +2087,1.0,3.0 +2088,2.0,3.0 +2089,1.0,4.0 +2090,2.0,5.0 +2091,2.0,3.0 +2092,1.0,6.0 +2093,1.0,5.0 +2094,1.0,3.0 +2095,2.0,4.0 +2096,0.0,8.0 +2097,1.0,4.0 +2098,2.0,5.0 +2099,0.0,8.0 +2100,2.0,3.0 diff --git a/SurgeData/N=1000/979-peak+year_c.csv b/SurgeData/979-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/979-peak+year_c.csv rename to SurgeData/979-peak+year_c.csv diff --git a/SurgeData/N=1000/979-peak+year_w.csv b/SurgeData/979-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/979-peak+year_w.csv rename to SurgeData/979-peak+year_w.csv diff --git a/SurgeData/N=1000/979-peak_c.csv b/SurgeData/979-peak_c.csv similarity index 100% rename from SurgeData/N=1000/979-peak_c.csv rename to SurgeData/979-peak_c.csv diff --git a/SurgeData/N=1000/979-peak_w.csv b/SurgeData/979-peak_w.csv similarity index 100% rename from SurgeData/N=1000/979-peak_w.csv rename to SurgeData/979-peak_w.csv diff --git a/SurgeData/N=1000/979-surge_c.csv b/SurgeData/979-surge_c.csv similarity index 100% rename from SurgeData/N=1000/979-surge_c.csv rename to SurgeData/979-surge_c.csv diff --git a/SurgeData/N=1000/979-surge_w.csv b/SurgeData/979-surge_w.csv similarity index 100% rename from SurgeData/N=1000/979-surge_w.csv rename to SurgeData/979-surge_w.csv diff --git a/SurgeData/N=1000/979-time_c.csv b/SurgeData/979-time_c.csv similarity index 100% rename from SurgeData/N=1000/979-time_c.csv rename to SurgeData/979-time_c.csv diff --git a/SurgeData/N=1000/979-time_w.csv b/SurgeData/979-time_w.csv similarity index 100% rename from SurgeData/N=1000/979-time_w.csv rename to SurgeData/979-time_w.csv diff --git a/SurgeData/N=1000/979-waterlevel_c.csv b/SurgeData/979-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/979-waterlevel_c.csv rename to SurgeData/979-waterlevel_c.csv diff --git a/SurgeData/N=1000/979-waterlevel_w.csv b/SurgeData/979-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/979-waterlevel_w.csv rename to SurgeData/979-waterlevel_w.csv diff --git a/SurgeData/98-num_storm.csv b/SurgeData/98-num_storm.csv new file mode 100644 index 00000000..2488252c --- /dev/null +++ b/SurgeData/98-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,4.0 +2021,0.0,3.0 +2022,2.0,1.0 +2023,3.0,9.0 +2024,4.0,7.0 +2025,2.0,4.0 +2026,1.0,4.0 +2027,2.0,5.0 +2028,3.0,1.0 +2029,1.0,6.0 +2030,1.0,3.0 +2031,1.0,5.0 +2032,2.0,2.0 +2033,2.0,5.0 +2034,2.0,2.0 +2035,2.0,7.0 +2036,2.0,8.0 +2037,3.0,10.0 +2038,1.0,5.0 +2039,1.0,3.0 +2040,0.0,2.0 +2041,2.0,2.0 +2042,0.0,6.0 +2043,0.0,3.0 +2044,4.0,6.0 +2045,1.0,5.0 +2046,1.0,4.0 +2047,1.0,3.0 +2048,3.0,4.0 +2049,0.0,2.0 +2050,0.0,6.0 +2051,1.0,0.0 +2052,0.0,6.0 +2053,1.0,7.0 +2054,1.0,6.0 +2055,2.0,5.0 +2056,1.0,1.0 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--git a/SurgeData/N=1000/98-peak_c.csv b/SurgeData/98-peak_c.csv similarity index 100% rename from SurgeData/N=1000/98-peak_c.csv rename to SurgeData/98-peak_c.csv diff --git a/SurgeData/N=1000/98-peak_w.csv b/SurgeData/98-peak_w.csv similarity index 100% rename from SurgeData/N=1000/98-peak_w.csv rename to SurgeData/98-peak_w.csv diff --git a/SurgeData/N=1000/98-surge_c.csv b/SurgeData/98-surge_c.csv similarity index 100% rename from SurgeData/N=1000/98-surge_c.csv rename to SurgeData/98-surge_c.csv diff --git a/SurgeData/N=1000/98-surge_w.csv b/SurgeData/98-surge_w.csv similarity index 100% rename from SurgeData/N=1000/98-surge_w.csv rename to SurgeData/98-surge_w.csv diff --git a/SurgeData/N=1000/98-time_c.csv b/SurgeData/98-time_c.csv similarity index 100% rename from SurgeData/N=1000/98-time_c.csv rename to SurgeData/98-time_c.csv diff --git a/SurgeData/N=1000/98-time_w.csv b/SurgeData/98-time_w.csv similarity index 100% rename from SurgeData/N=1000/98-time_w.csv rename to SurgeData/98-time_w.csv diff --git a/SurgeData/N=1000/98-waterlevel_c.csv b/SurgeData/98-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/98-waterlevel_c.csv rename to SurgeData/98-waterlevel_c.csv diff --git a/SurgeData/N=1000/98-waterlevel_w.csv b/SurgeData/98-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/98-waterlevel_w.csv rename to SurgeData/98-waterlevel_w.csv diff --git a/SurgeData/980-num_storm.csv b/SurgeData/980-num_storm.csv new file mode 100644 index 00000000..2f7ca0f4 --- /dev/null +++ b/SurgeData/980-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,1.0 +2021,0.0,3.0 +2022,1.0,3.0 +2023,2.0,5.0 +2024,2.0,4.0 +2025,0.0,8.0 +2026,2.0,4.0 +2027,1.0,4.0 +2028,1.0,3.0 +2029,0.0,9.0 +2030,0.0,2.0 +2031,0.0,5.0 +2032,1.0,6.0 +2033,1.0,6.0 +2034,2.0,5.0 +2035,1.0,1.0 +2036,2.0,4.0 +2037,1.0,4.0 +2038,1.0,6.0 +2039,2.0,4.0 +2040,1.0,0.0 +2041,1.0,7.0 +2042,0.0,2.0 +2043,1.0,3.0 +2044,0.0,8.0 +2045,1.0,3.0 +2046,4.0,4.0 +2047,2.0,7.0 +2048,3.0,4.0 +2049,0.0,2.0 +2050,1.0,6.0 +2051,1.0,8.0 +2052,4.0,4.0 +2053,0.0,5.0 +2054,2.0,6.0 +2055,2.0,5.0 +2056,4.0,2.0 +2057,2.0,7.0 +2058,2.0,1.0 +2059,1.0,3.0 +2060,1.0,6.0 +2061,3.0,3.0 +2062,3.0,8.0 +2063,0.0,4.0 +2064,2.0,4.0 +2065,2.0,4.0 +2066,3.0,4.0 +2067,3.0,2.0 +2068,0.0,3.0 +2069,1.0,3.0 +2070,1.0,3.0 +2071,0.0,6.0 +2072,2.0,3.0 +2073,1.0,8.0 +2074,1.0,1.0 +2075,0.0,5.0 +2076,1.0,7.0 +2077,2.0,3.0 +2078,2.0,3.0 +2079,0.0,4.0 +2080,2.0,1.0 +2081,3.0,5.0 +2082,3.0,7.0 +2083,0.0,0.0 +2084,2.0,3.0 +2085,1.0,4.0 +2086,2.0,1.0 +2087,1.0,6.0 +2088,0.0,3.0 +2089,2.0,3.0 +2090,2.0,1.0 +2091,1.0,9.0 +2092,0.0,5.0 +2093,1.0,5.0 +2094,2.0,6.0 +2095,1.0,6.0 +2096,2.0,6.0 +2097,0.0,4.0 +2098,3.0,2.0 +2099,0.0,1.0 +2100,1.0,4.0 diff --git a/SurgeData/N=1000/980-peak+year_c.csv b/SurgeData/980-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/980-peak+year_c.csv rename to SurgeData/980-peak+year_c.csv diff --git a/SurgeData/N=1000/980-peak+year_w.csv b/SurgeData/980-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/980-peak+year_w.csv rename to SurgeData/980-peak+year_w.csv diff --git a/SurgeData/N=1000/980-peak_c.csv b/SurgeData/980-peak_c.csv similarity index 100% rename from SurgeData/N=1000/980-peak_c.csv rename to SurgeData/980-peak_c.csv diff --git a/SurgeData/N=1000/980-peak_w.csv b/SurgeData/980-peak_w.csv similarity index 100% rename from SurgeData/N=1000/980-peak_w.csv rename to SurgeData/980-peak_w.csv diff --git a/SurgeData/N=1000/980-surge_c.csv b/SurgeData/980-surge_c.csv similarity index 100% rename from SurgeData/N=1000/980-surge_c.csv rename to SurgeData/980-surge_c.csv diff --git a/SurgeData/N=1000/980-surge_w.csv b/SurgeData/980-surge_w.csv similarity index 100% rename from SurgeData/N=1000/980-surge_w.csv rename to SurgeData/980-surge_w.csv diff --git a/SurgeData/N=1000/980-time_c.csv b/SurgeData/980-time_c.csv similarity index 100% rename from SurgeData/N=1000/980-time_c.csv rename to SurgeData/980-time_c.csv diff --git a/SurgeData/N=1000/980-time_w.csv b/SurgeData/980-time_w.csv similarity index 100% rename from SurgeData/N=1000/980-time_w.csv rename to SurgeData/980-time_w.csv diff --git a/SurgeData/N=1000/980-waterlevel_c.csv b/SurgeData/980-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/980-waterlevel_c.csv rename to SurgeData/980-waterlevel_c.csv diff --git a/SurgeData/N=1000/980-waterlevel_w.csv b/SurgeData/980-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/980-waterlevel_w.csv rename to SurgeData/980-waterlevel_w.csv diff --git a/SurgeData/981-num_storm.csv b/SurgeData/981-num_storm.csv new file mode 100644 index 00000000..29839890 --- /dev/null +++ b/SurgeData/981-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,5.0 +2021,4.0,5.0 +2022,1.0,4.0 +2023,2.0,3.0 +2024,1.0,6.0 +2025,0.0,2.0 +2026,1.0,6.0 +2027,1.0,5.0 +2028,1.0,2.0 +2029,4.0,7.0 +2030,1.0,5.0 +2031,1.0,0.0 +2032,1.0,7.0 +2033,1.0,4.0 +2034,1.0,7.0 +2035,0.0,2.0 +2036,0.0,6.0 +2037,2.0,5.0 +2038,1.0,6.0 +2039,0.0,7.0 +2040,2.0,5.0 +2041,1.0,6.0 +2042,4.0,5.0 +2043,3.0,4.0 +2044,0.0,3.0 +2045,0.0,7.0 +2046,0.0,1.0 +2047,1.0,0.0 +2048,2.0,4.0 +2049,3.0,4.0 +2050,0.0,1.0 +2051,1.0,6.0 +2052,2.0,6.0 +2053,1.0,2.0 +2054,0.0,8.0 +2055,1.0,5.0 +2056,0.0,3.0 +2057,1.0,4.0 +2058,1.0,4.0 +2059,3.0,1.0 +2060,2.0,3.0 +2061,1.0,5.0 +2062,2.0,4.0 +2063,1.0,3.0 +2064,1.0,2.0 +2065,1.0,3.0 +2066,0.0,1.0 +2067,0.0,2.0 +2068,1.0,7.0 +2069,2.0,3.0 +2070,1.0,4.0 +2071,1.0,3.0 +2072,1.0,3.0 +2073,2.0,4.0 +2074,4.0,5.0 +2075,2.0,4.0 +2076,1.0,1.0 +2077,2.0,4.0 +2078,3.0,4.0 +2079,2.0,4.0 +2080,2.0,6.0 +2081,3.0,6.0 +2082,1.0,2.0 +2083,1.0,6.0 +2084,2.0,6.0 +2085,0.0,6.0 +2086,1.0,2.0 +2087,2.0,5.0 +2088,4.0,1.0 +2089,2.0,2.0 +2090,2.0,3.0 +2091,1.0,4.0 +2092,0.0,5.0 +2093,0.0,5.0 +2094,0.0,4.0 +2095,2.0,4.0 +2096,2.0,6.0 +2097,1.0,2.0 +2098,2.0,2.0 +2099,3.0,4.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/981-peak+year_c.csv b/SurgeData/981-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/981-peak+year_c.csv rename to SurgeData/981-peak+year_c.csv diff --git a/SurgeData/N=1000/981-peak+year_w.csv b/SurgeData/981-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/981-peak+year_w.csv rename to SurgeData/981-peak+year_w.csv diff --git a/SurgeData/N=1000/981-peak_c.csv b/SurgeData/981-peak_c.csv similarity index 100% rename from SurgeData/N=1000/981-peak_c.csv rename to SurgeData/981-peak_c.csv diff --git a/SurgeData/N=1000/981-peak_w.csv b/SurgeData/981-peak_w.csv similarity index 100% rename from SurgeData/N=1000/981-peak_w.csv rename to SurgeData/981-peak_w.csv diff --git a/SurgeData/N=1000/981-surge_c.csv b/SurgeData/981-surge_c.csv similarity index 100% rename from SurgeData/N=1000/981-surge_c.csv rename to SurgeData/981-surge_c.csv diff --git a/SurgeData/N=1000/981-surge_w.csv b/SurgeData/981-surge_w.csv similarity index 100% rename from SurgeData/N=1000/981-surge_w.csv rename to SurgeData/981-surge_w.csv diff --git a/SurgeData/N=1000/981-time_c.csv b/SurgeData/981-time_c.csv similarity index 100% rename from SurgeData/N=1000/981-time_c.csv rename to SurgeData/981-time_c.csv diff --git a/SurgeData/N=1000/981-time_w.csv b/SurgeData/981-time_w.csv similarity index 100% rename from SurgeData/N=1000/981-time_w.csv rename to SurgeData/981-time_w.csv diff --git a/SurgeData/N=1000/981-waterlevel_c.csv b/SurgeData/981-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/981-waterlevel_c.csv rename to SurgeData/981-waterlevel_c.csv diff --git a/SurgeData/N=1000/981-waterlevel_w.csv b/SurgeData/981-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/981-waterlevel_w.csv rename to SurgeData/981-waterlevel_w.csv diff --git a/SurgeData/982-num_storm.csv b/SurgeData/982-num_storm.csv new file mode 100644 index 00000000..b04d2ced --- /dev/null +++ b/SurgeData/982-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,1.0,5.0 +2022,3.0,4.0 +2023,2.0,6.0 +2024,1.0,6.0 +2025,1.0,3.0 +2026,6.0,3.0 +2027,2.0,6.0 +2028,0.0,6.0 +2029,3.0,7.0 +2030,0.0,2.0 +2031,3.0,7.0 +2032,2.0,3.0 +2033,2.0,0.0 +2034,2.0,3.0 +2035,2.0,4.0 +2036,2.0,7.0 +2037,2.0,5.0 +2038,4.0,3.0 +2039,2.0,3.0 +2040,1.0,4.0 +2041,1.0,7.0 +2042,2.0,7.0 +2043,2.0,1.0 +2044,0.0,5.0 +2045,3.0,9.0 +2046,0.0,4.0 +2047,0.0,2.0 +2048,0.0,3.0 +2049,1.0,3.0 +2050,1.0,1.0 +2051,1.0,3.0 +2052,0.0,2.0 +2053,2.0,2.0 +2054,1.0,4.0 +2055,4.0,1.0 +2056,1.0,1.0 +2057,1.0,3.0 +2058,3.0,3.0 +2059,3.0,8.0 +2060,2.0,4.0 +2061,2.0,1.0 +2062,0.0,2.0 +2063,2.0,4.0 +2064,2.0,7.0 +2065,2.0,4.0 +2066,5.0,7.0 +2067,1.0,9.0 +2068,1.0,4.0 +2069,2.0,6.0 +2070,0.0,1.0 +2071,0.0,5.0 +2072,1.0,5.0 +2073,0.0,3.0 +2074,2.0,5.0 +2075,2.0,5.0 +2076,1.0,6.0 +2077,1.0,4.0 +2078,0.0,8.0 +2079,1.0,7.0 +2080,1.0,4.0 +2081,1.0,8.0 +2082,0.0,2.0 +2083,1.0,3.0 +2084,1.0,4.0 +2085,1.0,4.0 +2086,1.0,4.0 +2087,2.0,4.0 +2088,1.0,4.0 +2089,1.0,0.0 +2090,2.0,1.0 +2091,1.0,4.0 +2092,1.0,6.0 +2093,1.0,2.0 +2094,2.0,8.0 +2095,1.0,3.0 +2096,1.0,3.0 +2097,0.0,4.0 +2098,4.0,1.0 +2099,2.0,4.0 +2100,3.0,10.0 diff --git a/SurgeData/N=1000/982-peak+year_c.csv b/SurgeData/982-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/982-peak+year_c.csv rename to SurgeData/982-peak+year_c.csv diff --git a/SurgeData/N=1000/982-peak+year_w.csv b/SurgeData/982-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/982-peak+year_w.csv rename to SurgeData/982-peak+year_w.csv diff --git a/SurgeData/N=1000/982-peak_c.csv b/SurgeData/982-peak_c.csv similarity index 100% rename from SurgeData/N=1000/982-peak_c.csv rename to SurgeData/982-peak_c.csv diff --git a/SurgeData/N=1000/982-peak_w.csv b/SurgeData/982-peak_w.csv similarity index 100% rename from SurgeData/N=1000/982-peak_w.csv rename to SurgeData/982-peak_w.csv diff --git a/SurgeData/N=1000/982-surge_c.csv b/SurgeData/982-surge_c.csv similarity index 100% rename from SurgeData/N=1000/982-surge_c.csv rename to SurgeData/982-surge_c.csv diff --git a/SurgeData/N=1000/982-surge_w.csv b/SurgeData/982-surge_w.csv similarity index 100% rename from SurgeData/N=1000/982-surge_w.csv rename to SurgeData/982-surge_w.csv diff --git a/SurgeData/N=1000/982-time_c.csv b/SurgeData/982-time_c.csv similarity index 100% rename from SurgeData/N=1000/982-time_c.csv rename to SurgeData/982-time_c.csv diff --git a/SurgeData/N=1000/982-time_w.csv b/SurgeData/982-time_w.csv similarity index 100% rename from SurgeData/N=1000/982-time_w.csv rename to SurgeData/982-time_w.csv diff --git a/SurgeData/N=1000/982-waterlevel_c.csv b/SurgeData/982-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/982-waterlevel_c.csv rename to SurgeData/982-waterlevel_c.csv diff --git a/SurgeData/N=1000/982-waterlevel_w.csv b/SurgeData/982-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/982-waterlevel_w.csv rename to SurgeData/982-waterlevel_w.csv diff --git a/SurgeData/983-num_storm.csv b/SurgeData/983-num_storm.csv new file mode 100644 index 00000000..c8bd2860 --- /dev/null +++ b/SurgeData/983-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,6.0 +2021,2.0,3.0 +2022,2.0,4.0 +2023,5.0,2.0 +2024,1.0,4.0 +2025,0.0,1.0 +2026,1.0,3.0 +2027,1.0,3.0 +2028,2.0,5.0 +2029,2.0,4.0 +2030,2.0,4.0 +2031,0.0,4.0 +2032,1.0,4.0 +2033,3.0,5.0 +2034,0.0,2.0 +2035,5.0,2.0 +2036,4.0,3.0 +2037,0.0,7.0 +2038,0.0,4.0 +2039,3.0,7.0 +2040,2.0,5.0 +2041,0.0,6.0 +2042,0.0,1.0 +2043,0.0,3.0 +2044,2.0,5.0 +2045,0.0,3.0 +2046,3.0,4.0 +2047,0.0,3.0 +2048,3.0,3.0 +2049,1.0,3.0 +2050,3.0,3.0 +2051,2.0,2.0 +2052,0.0,4.0 +2053,1.0,3.0 +2054,2.0,3.0 +2055,0.0,7.0 +2056,3.0,1.0 +2057,2.0,8.0 +2058,1.0,4.0 +2059,2.0,3.0 +2060,2.0,6.0 +2061,2.0,5.0 +2062,2.0,3.0 +2063,0.0,10.0 +2064,1.0,6.0 +2065,0.0,3.0 +2066,2.0,2.0 +2067,3.0,2.0 +2068,1.0,4.0 +2069,1.0,1.0 +2070,1.0,3.0 +2071,1.0,2.0 +2072,5.0,0.0 +2073,2.0,0.0 +2074,1.0,3.0 +2075,1.0,5.0 +2076,0.0,3.0 +2077,1.0,1.0 +2078,1.0,2.0 +2079,1.0,5.0 +2080,2.0,2.0 +2081,2.0,8.0 +2082,1.0,5.0 +2083,0.0,7.0 +2084,1.0,7.0 +2085,1.0,4.0 +2086,0.0,5.0 +2087,0.0,2.0 +2088,1.0,6.0 +2089,1.0,5.0 +2090,1.0,3.0 +2091,2.0,2.0 +2092,0.0,2.0 +2093,0.0,1.0 +2094,2.0,4.0 +2095,3.0,5.0 +2096,1.0,4.0 +2097,0.0,2.0 +2098,1.0,4.0 +2099,1.0,8.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/983-peak+year_c.csv b/SurgeData/983-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/983-peak+year_c.csv rename to SurgeData/983-peak+year_c.csv diff --git a/SurgeData/N=1000/983-peak+year_w.csv b/SurgeData/983-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/983-peak+year_w.csv rename to SurgeData/983-peak+year_w.csv diff --git a/SurgeData/N=1000/983-peak_c.csv b/SurgeData/983-peak_c.csv similarity index 100% rename from SurgeData/N=1000/983-peak_c.csv rename to SurgeData/983-peak_c.csv diff --git a/SurgeData/N=1000/983-peak_w.csv b/SurgeData/983-peak_w.csv similarity index 100% rename from SurgeData/N=1000/983-peak_w.csv rename to SurgeData/983-peak_w.csv diff --git a/SurgeData/N=1000/983-surge_c.csv b/SurgeData/983-surge_c.csv similarity index 100% rename from SurgeData/N=1000/983-surge_c.csv rename to SurgeData/983-surge_c.csv diff --git a/SurgeData/N=1000/983-surge_w.csv b/SurgeData/983-surge_w.csv similarity index 100% rename from SurgeData/N=1000/983-surge_w.csv rename to SurgeData/983-surge_w.csv diff --git a/SurgeData/N=1000/983-time_c.csv b/SurgeData/983-time_c.csv similarity index 100% rename from SurgeData/N=1000/983-time_c.csv rename to SurgeData/983-time_c.csv diff --git a/SurgeData/N=1000/983-time_w.csv b/SurgeData/983-time_w.csv similarity index 100% rename from SurgeData/N=1000/983-time_w.csv rename to SurgeData/983-time_w.csv diff --git a/SurgeData/N=1000/983-waterlevel_c.csv b/SurgeData/983-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/983-waterlevel_c.csv rename to SurgeData/983-waterlevel_c.csv diff --git a/SurgeData/N=1000/983-waterlevel_w.csv b/SurgeData/983-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/983-waterlevel_w.csv rename to SurgeData/983-waterlevel_w.csv diff --git a/SurgeData/984-num_storm.csv b/SurgeData/984-num_storm.csv new file mode 100644 index 00000000..f6a2ac11 --- /dev/null +++ b/SurgeData/984-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,1.0 +2021,1.0,5.0 +2022,2.0,3.0 +2023,2.0,5.0 +2024,0.0,5.0 +2025,1.0,2.0 +2026,3.0,1.0 +2027,1.0,4.0 +2028,3.0,6.0 +2029,3.0,3.0 +2030,3.0,6.0 +2031,1.0,3.0 +2032,3.0,4.0 +2033,0.0,2.0 +2034,0.0,5.0 +2035,3.0,4.0 +2036,0.0,2.0 +2037,1.0,2.0 +2038,0.0,4.0 +2039,3.0,4.0 +2040,1.0,0.0 +2041,0.0,5.0 +2042,4.0,8.0 +2043,1.0,0.0 +2044,1.0,5.0 +2045,1.0,5.0 +2046,2.0,6.0 +2047,6.0,2.0 +2048,3.0,2.0 +2049,0.0,2.0 +2050,4.0,6.0 +2051,1.0,0.0 +2052,2.0,2.0 +2053,1.0,2.0 +2054,1.0,3.0 +2055,2.0,4.0 +2056,3.0,2.0 +2057,1.0,4.0 +2058,1.0,5.0 +2059,0.0,3.0 +2060,0.0,3.0 +2061,2.0,2.0 +2062,3.0,5.0 +2063,1.0,7.0 +2064,2.0,6.0 +2065,0.0,2.0 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SurgeData/N=1000/984-peak_c.csv rename to SurgeData/984-peak_c.csv diff --git a/SurgeData/N=1000/984-peak_w.csv b/SurgeData/984-peak_w.csv similarity index 100% rename from SurgeData/N=1000/984-peak_w.csv rename to SurgeData/984-peak_w.csv diff --git a/SurgeData/N=1000/984-surge_c.csv b/SurgeData/984-surge_c.csv similarity index 100% rename from SurgeData/N=1000/984-surge_c.csv rename to SurgeData/984-surge_c.csv diff --git a/SurgeData/N=1000/984-surge_w.csv b/SurgeData/984-surge_w.csv similarity index 100% rename from SurgeData/N=1000/984-surge_w.csv rename to SurgeData/984-surge_w.csv diff --git a/SurgeData/N=1000/984-time_c.csv b/SurgeData/984-time_c.csv similarity index 100% rename from SurgeData/N=1000/984-time_c.csv rename to SurgeData/984-time_c.csv diff --git a/SurgeData/N=1000/984-time_w.csv b/SurgeData/984-time_w.csv similarity index 100% rename from SurgeData/N=1000/984-time_w.csv rename to SurgeData/984-time_w.csv diff --git a/SurgeData/N=1000/984-waterlevel_c.csv b/SurgeData/984-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/984-waterlevel_c.csv rename to SurgeData/984-waterlevel_c.csv diff --git a/SurgeData/N=1000/984-waterlevel_w.csv b/SurgeData/984-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/984-waterlevel_w.csv rename to SurgeData/984-waterlevel_w.csv diff --git a/SurgeData/N=1000/985-peak+year_c.csv b/SurgeData/985-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/985-peak+year_c.csv rename to SurgeData/985-peak+year_c.csv diff --git a/SurgeData/N=1000/985-peak+year_w.csv b/SurgeData/985-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/985-peak+year_w.csv rename to SurgeData/985-peak+year_w.csv diff --git a/SurgeData/N=1000/985-peak_c.csv b/SurgeData/985-peak_c.csv similarity index 100% rename from SurgeData/N=1000/985-peak_c.csv rename to SurgeData/985-peak_c.csv diff --git a/SurgeData/N=1000/985-peak_w.csv b/SurgeData/985-peak_w.csv similarity index 100% rename from SurgeData/N=1000/985-peak_w.csv rename to SurgeData/985-peak_w.csv diff --git a/SurgeData/N=1000/985-surge_c.csv b/SurgeData/985-surge_c.csv similarity index 100% rename from SurgeData/N=1000/985-surge_c.csv rename to SurgeData/985-surge_c.csv diff --git a/SurgeData/N=1000/985-surge_w.csv b/SurgeData/985-surge_w.csv similarity index 100% rename from SurgeData/N=1000/985-surge_w.csv rename to SurgeData/985-surge_w.csv diff --git a/SurgeData/N=1000/985-time_c.csv b/SurgeData/985-time_c.csv similarity index 100% rename from SurgeData/N=1000/985-time_c.csv rename to SurgeData/985-time_c.csv diff --git a/SurgeData/N=1000/985-time_w.csv b/SurgeData/985-time_w.csv similarity index 100% rename from SurgeData/N=1000/985-time_w.csv rename to SurgeData/985-time_w.csv diff --git a/SurgeData/N=1000/985-waterlevel_c.csv b/SurgeData/985-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/985-waterlevel_c.csv rename to SurgeData/985-waterlevel_c.csv diff --git a/SurgeData/N=1000/985-waterlevel_w.csv b/SurgeData/985-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/985-waterlevel_w.csv rename to SurgeData/985-waterlevel_w.csv diff --git a/SurgeData/986-num_storm.csv b/SurgeData/986-num_storm.csv new file mode 100644 index 00000000..357e8a08 --- /dev/null +++ b/SurgeData/986-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,6.0 +2021,1.0,4.0 +2022,1.0,2.0 +2023,2.0,3.0 +2024,0.0,5.0 +2025,1.0,2.0 +2026,1.0,8.0 +2027,0.0,4.0 +2028,0.0,3.0 +2029,1.0,4.0 +2030,1.0,3.0 +2031,2.0,4.0 +2032,0.0,3.0 +2033,2.0,2.0 +2034,1.0,5.0 +2035,1.0,2.0 +2036,2.0,4.0 +2037,0.0,3.0 +2038,4.0,6.0 +2039,0.0,5.0 +2040,2.0,4.0 +2041,2.0,2.0 +2042,1.0,3.0 +2043,4.0,4.0 +2044,3.0,5.0 +2045,0.0,2.0 +2046,2.0,6.0 +2047,0.0,4.0 +2048,0.0,3.0 +2049,0.0,7.0 +2050,1.0,1.0 +2051,2.0,2.0 +2052,5.0,5.0 +2053,0.0,5.0 +2054,0.0,4.0 +2055,3.0,5.0 +2056,1.0,7.0 +2057,1.0,2.0 +2058,2.0,2.0 +2059,1.0,3.0 +2060,2.0,2.0 +2061,3.0,5.0 +2062,4.0,0.0 +2063,1.0,5.0 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rename from SurgeData/N=1000/986-peak_c.csv rename to SurgeData/986-peak_c.csv diff --git a/SurgeData/N=1000/986-peak_w.csv b/SurgeData/986-peak_w.csv similarity index 100% rename from SurgeData/N=1000/986-peak_w.csv rename to SurgeData/986-peak_w.csv diff --git a/SurgeData/N=1000/986-surge_c.csv b/SurgeData/986-surge_c.csv similarity index 100% rename from SurgeData/N=1000/986-surge_c.csv rename to SurgeData/986-surge_c.csv diff --git a/SurgeData/N=1000/986-surge_w.csv b/SurgeData/986-surge_w.csv similarity index 100% rename from SurgeData/N=1000/986-surge_w.csv rename to SurgeData/986-surge_w.csv diff --git a/SurgeData/N=1000/986-time_c.csv b/SurgeData/986-time_c.csv similarity index 100% rename from SurgeData/N=1000/986-time_c.csv rename to SurgeData/986-time_c.csv diff --git a/SurgeData/N=1000/986-time_w.csv b/SurgeData/986-time_w.csv similarity index 100% rename from SurgeData/N=1000/986-time_w.csv rename to SurgeData/986-time_w.csv diff --git a/SurgeData/N=1000/986-waterlevel_c.csv b/SurgeData/986-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/986-waterlevel_c.csv rename to SurgeData/986-waterlevel_c.csv diff --git a/SurgeData/N=1000/986-waterlevel_w.csv b/SurgeData/986-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/986-waterlevel_w.csv rename to SurgeData/986-waterlevel_w.csv diff --git a/SurgeData/987-num_storm.csv b/SurgeData/987-num_storm.csv new file mode 100644 index 00000000..e3ef7f50 --- /dev/null +++ b/SurgeData/987-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,2.0 +2021,0.0,5.0 +2022,2.0,4.0 +2023,4.0,4.0 +2024,1.0,2.0 +2025,1.0,6.0 +2026,0.0,3.0 +2027,1.0,9.0 +2028,1.0,7.0 +2029,3.0,2.0 +2030,0.0,1.0 +2031,4.0,4.0 +2032,1.0,2.0 +2033,1.0,2.0 +2034,2.0,2.0 +2035,2.0,5.0 +2036,2.0,6.0 +2037,1.0,3.0 +2038,1.0,4.0 +2039,3.0,10.0 +2040,2.0,2.0 +2041,2.0,9.0 +2042,4.0,3.0 +2043,0.0,8.0 +2044,0.0,3.0 +2045,3.0,4.0 +2046,5.0,4.0 +2047,0.0,2.0 +2048,3.0,2.0 +2049,1.0,2.0 +2050,3.0,5.0 +2051,3.0,3.0 +2052,2.0,5.0 +2053,3.0,7.0 +2054,0.0,2.0 +2055,3.0,6.0 +2056,0.0,4.0 +2057,1.0,4.0 +2058,0.0,5.0 +2059,2.0,6.0 +2060,2.0,2.0 +2061,2.0,5.0 +2062,1.0,4.0 +2063,1.0,6.0 +2064,0.0,8.0 +2065,1.0,2.0 +2066,3.0,7.0 +2067,4.0,3.0 +2068,1.0,5.0 +2069,3.0,2.0 +2070,2.0,3.0 +2071,2.0,3.0 +2072,4.0,4.0 +2073,0.0,4.0 +2074,2.0,3.0 +2075,1.0,7.0 +2076,3.0,5.0 +2077,3.0,6.0 +2078,1.0,9.0 +2079,1.0,4.0 +2080,4.0,4.0 +2081,0.0,2.0 +2082,2.0,6.0 +2083,0.0,9.0 +2084,2.0,1.0 +2085,0.0,0.0 +2086,0.0,2.0 +2087,3.0,5.0 +2088,0.0,5.0 +2089,1.0,5.0 +2090,2.0,6.0 +2091,1.0,5.0 +2092,0.0,5.0 +2093,1.0,2.0 +2094,3.0,3.0 +2095,0.0,7.0 +2096,4.0,5.0 +2097,1.0,2.0 +2098,3.0,3.0 +2099,2.0,3.0 +2100,0.0,11.0 diff --git a/SurgeData/N=1000/987-peak+year_c.csv b/SurgeData/987-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/987-peak+year_c.csv rename to SurgeData/987-peak+year_c.csv diff --git a/SurgeData/N=1000/987-peak+year_w.csv b/SurgeData/987-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/987-peak+year_w.csv rename to SurgeData/987-peak+year_w.csv diff --git a/SurgeData/N=1000/987-peak_c.csv b/SurgeData/987-peak_c.csv similarity index 100% rename from SurgeData/N=1000/987-peak_c.csv rename to SurgeData/987-peak_c.csv diff --git a/SurgeData/N=1000/987-peak_w.csv b/SurgeData/987-peak_w.csv similarity index 100% rename from SurgeData/N=1000/987-peak_w.csv rename to SurgeData/987-peak_w.csv diff --git a/SurgeData/N=1000/987-surge_c.csv b/SurgeData/987-surge_c.csv similarity index 100% rename from SurgeData/N=1000/987-surge_c.csv rename to SurgeData/987-surge_c.csv diff --git a/SurgeData/N=1000/987-surge_w.csv b/SurgeData/987-surge_w.csv similarity index 100% rename from SurgeData/N=1000/987-surge_w.csv rename to SurgeData/987-surge_w.csv diff --git a/SurgeData/N=1000/987-time_c.csv b/SurgeData/987-time_c.csv similarity index 100% rename from SurgeData/N=1000/987-time_c.csv rename to SurgeData/987-time_c.csv diff --git a/SurgeData/N=1000/987-time_w.csv b/SurgeData/987-time_w.csv similarity index 100% rename from SurgeData/N=1000/987-time_w.csv rename to SurgeData/987-time_w.csv diff --git a/SurgeData/N=1000/987-waterlevel_c.csv b/SurgeData/987-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/987-waterlevel_c.csv rename to SurgeData/987-waterlevel_c.csv diff --git a/SurgeData/N=1000/987-waterlevel_w.csv b/SurgeData/987-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/987-waterlevel_w.csv rename to SurgeData/987-waterlevel_w.csv diff --git a/SurgeData/988-num_storm.csv b/SurgeData/988-num_storm.csv new file mode 100644 index 00000000..d4f7b1d6 --- /dev/null +++ b/SurgeData/988-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,3.0 +2021,1.0,3.0 +2022,3.0,1.0 +2023,1.0,6.0 +2024,2.0,4.0 +2025,1.0,8.0 +2026,0.0,2.0 +2027,2.0,1.0 +2028,0.0,3.0 +2029,2.0,1.0 +2030,3.0,5.0 +2031,3.0,2.0 +2032,2.0,7.0 +2033,1.0,5.0 +2034,0.0,2.0 +2035,3.0,5.0 +2036,1.0,5.0 +2037,1.0,4.0 +2038,2.0,1.0 +2039,0.0,7.0 +2040,0.0,4.0 +2041,4.0,2.0 +2042,1.0,7.0 +2043,0.0,6.0 +2044,0.0,6.0 +2045,3.0,1.0 +2046,2.0,2.0 +2047,1.0,4.0 +2048,0.0,3.0 +2049,0.0,4.0 +2050,3.0,2.0 +2051,0.0,5.0 +2052,5.0,3.0 +2053,2.0,6.0 +2054,1.0,4.0 +2055,1.0,2.0 +2056,1.0,3.0 +2057,0.0,4.0 +2058,0.0,6.0 +2059,0.0,4.0 +2060,0.0,7.0 +2061,4.0,1.0 +2062,0.0,2.0 +2063,1.0,7.0 +2064,3.0,4.0 +2065,0.0,2.0 +2066,1.0,5.0 +2067,3.0,4.0 +2068,0.0,4.0 +2069,2.0,6.0 +2070,0.0,7.0 +2071,1.0,7.0 +2072,0.0,3.0 +2073,2.0,3.0 +2074,1.0,7.0 +2075,2.0,1.0 +2076,4.0,6.0 +2077,0.0,2.0 +2078,1.0,6.0 +2079,1.0,4.0 +2080,3.0,7.0 +2081,1.0,4.0 +2082,0.0,4.0 +2083,0.0,5.0 +2084,0.0,4.0 +2085,3.0,6.0 +2086,3.0,4.0 +2087,4.0,6.0 +2088,1.0,2.0 +2089,1.0,4.0 +2090,2.0,6.0 +2091,3.0,2.0 +2092,1.0,3.0 +2093,1.0,4.0 +2094,3.0,4.0 +2095,2.0,7.0 +2096,0.0,3.0 +2097,1.0,13.0 +2098,0.0,7.0 +2099,0.0,6.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/988-peak+year_c.csv b/SurgeData/988-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/988-peak+year_c.csv rename to SurgeData/988-peak+year_c.csv diff --git a/SurgeData/N=1000/988-peak+year_w.csv b/SurgeData/988-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/988-peak+year_w.csv rename to SurgeData/988-peak+year_w.csv diff --git a/SurgeData/N=1000/988-peak_c.csv b/SurgeData/988-peak_c.csv similarity index 100% rename from SurgeData/N=1000/988-peak_c.csv rename to SurgeData/988-peak_c.csv diff --git a/SurgeData/N=1000/988-peak_w.csv b/SurgeData/988-peak_w.csv similarity index 100% rename from SurgeData/N=1000/988-peak_w.csv rename to SurgeData/988-peak_w.csv diff --git a/SurgeData/N=1000/988-surge_c.csv b/SurgeData/988-surge_c.csv similarity index 100% rename from SurgeData/N=1000/988-surge_c.csv rename to SurgeData/988-surge_c.csv diff --git a/SurgeData/N=1000/988-surge_w.csv b/SurgeData/988-surge_w.csv similarity index 100% rename from SurgeData/N=1000/988-surge_w.csv rename to SurgeData/988-surge_w.csv diff --git a/SurgeData/N=1000/988-time_c.csv b/SurgeData/988-time_c.csv similarity index 100% rename from SurgeData/N=1000/988-time_c.csv rename to SurgeData/988-time_c.csv diff --git a/SurgeData/N=1000/988-time_w.csv b/SurgeData/988-time_w.csv similarity index 100% rename from SurgeData/N=1000/988-time_w.csv rename to SurgeData/988-time_w.csv diff --git a/SurgeData/N=1000/988-waterlevel_c.csv b/SurgeData/988-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/988-waterlevel_c.csv rename to SurgeData/988-waterlevel_c.csv diff --git a/SurgeData/N=1000/988-waterlevel_w.csv b/SurgeData/988-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/988-waterlevel_w.csv rename to SurgeData/988-waterlevel_w.csv diff --git a/SurgeData/989-num_storm.csv b/SurgeData/989-num_storm.csv new file mode 100644 index 00000000..b5545f74 --- /dev/null +++ b/SurgeData/989-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,7.0 +2021,2.0,5.0 +2022,1.0,6.0 +2023,1.0,4.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,0.0,5.0 +2027,0.0,5.0 +2028,0.0,6.0 +2029,3.0,0.0 +2030,0.0,6.0 +2031,2.0,2.0 +2032,4.0,1.0 +2033,1.0,5.0 +2034,0.0,5.0 +2035,2.0,2.0 +2036,1.0,9.0 +2037,4.0,9.0 +2038,2.0,4.0 +2039,1.0,3.0 +2040,1.0,7.0 +2041,0.0,0.0 +2042,2.0,4.0 +2043,1.0,6.0 +2044,3.0,2.0 +2045,2.0,5.0 +2046,1.0,1.0 +2047,2.0,5.0 +2048,4.0,6.0 +2049,3.0,1.0 +2050,0.0,3.0 +2051,0.0,5.0 +2052,1.0,6.0 +2053,1.0,3.0 +2054,2.0,6.0 +2055,2.0,6.0 +2056,1.0,1.0 +2057,1.0,2.0 +2058,1.0,6.0 +2059,3.0,3.0 +2060,0.0,8.0 +2061,1.0,8.0 +2062,1.0,5.0 +2063,2.0,5.0 +2064,1.0,6.0 +2065,2.0,3.0 +2066,1.0,1.0 +2067,1.0,4.0 +2068,2.0,0.0 +2069,1.0,3.0 +2070,1.0,4.0 +2071,1.0,6.0 +2072,4.0,5.0 +2073,2.0,9.0 +2074,4.0,6.0 +2075,0.0,5.0 +2076,2.0,5.0 +2077,0.0,1.0 +2078,0.0,3.0 +2079,2.0,4.0 +2080,1.0,3.0 +2081,2.0,4.0 +2082,0.0,3.0 +2083,1.0,4.0 +2084,2.0,4.0 +2085,1.0,6.0 +2086,0.0,2.0 +2087,1.0,0.0 +2088,2.0,2.0 +2089,0.0,4.0 +2090,2.0,10.0 +2091,2.0,5.0 +2092,1.0,2.0 +2093,5.0,3.0 +2094,1.0,7.0 +2095,1.0,2.0 +2096,2.0,4.0 +2097,1.0,3.0 +2098,2.0,5.0 +2099,0.0,3.0 +2100,1.0,8.0 diff --git a/SurgeData/N=1000/989-peak+year_c.csv b/SurgeData/989-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/989-peak+year_c.csv rename to SurgeData/989-peak+year_c.csv diff --git a/SurgeData/N=1000/989-peak+year_w.csv b/SurgeData/989-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/989-peak+year_w.csv rename to SurgeData/989-peak+year_w.csv diff --git a/SurgeData/N=1000/989-peak_c.csv b/SurgeData/989-peak_c.csv similarity index 100% rename from SurgeData/N=1000/989-peak_c.csv rename to SurgeData/989-peak_c.csv diff --git a/SurgeData/N=1000/989-peak_w.csv b/SurgeData/989-peak_w.csv similarity index 100% rename from SurgeData/N=1000/989-peak_w.csv rename to SurgeData/989-peak_w.csv diff --git a/SurgeData/N=1000/989-surge_c.csv b/SurgeData/989-surge_c.csv similarity index 100% rename from SurgeData/N=1000/989-surge_c.csv rename to SurgeData/989-surge_c.csv diff --git a/SurgeData/N=1000/989-surge_w.csv b/SurgeData/989-surge_w.csv similarity index 100% rename from SurgeData/N=1000/989-surge_w.csv rename to SurgeData/989-surge_w.csv diff --git a/SurgeData/N=1000/989-time_c.csv b/SurgeData/989-time_c.csv similarity index 100% rename from SurgeData/N=1000/989-time_c.csv rename to SurgeData/989-time_c.csv diff --git a/SurgeData/N=1000/989-time_w.csv b/SurgeData/989-time_w.csv similarity index 100% rename from SurgeData/N=1000/989-time_w.csv rename to SurgeData/989-time_w.csv diff --git a/SurgeData/N=1000/989-waterlevel_c.csv b/SurgeData/989-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/989-waterlevel_c.csv rename to SurgeData/989-waterlevel_c.csv diff --git a/SurgeData/N=1000/989-waterlevel_w.csv b/SurgeData/989-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/989-waterlevel_w.csv rename to SurgeData/989-waterlevel_w.csv diff --git a/SurgeData/99-num_storm.csv b/SurgeData/99-num_storm.csv new file mode 100644 index 00000000..c8f6fbb5 --- /dev/null +++ b/SurgeData/99-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,6.0 +2021,1.0,3.0 +2022,0.0,4.0 +2023,3.0,7.0 +2024,1.0,3.0 +2025,1.0,1.0 +2026,1.0,8.0 +2027,3.0,4.0 +2028,4.0,5.0 +2029,0.0,6.0 +2030,0.0,1.0 +2031,5.0,1.0 +2032,4.0,1.0 +2033,2.0,9.0 +2034,2.0,6.0 +2035,2.0,2.0 +2036,1.0,3.0 +2037,2.0,0.0 +2038,3.0,1.0 +2039,2.0,7.0 +2040,1.0,4.0 +2041,2.0,1.0 +2042,2.0,6.0 +2043,1.0,5.0 +2044,4.0,3.0 +2045,2.0,7.0 +2046,2.0,4.0 +2047,0.0,6.0 +2048,3.0,0.0 +2049,2.0,2.0 +2050,1.0,4.0 +2051,1.0,4.0 +2052,0.0,5.0 +2053,1.0,5.0 +2054,1.0,1.0 +2055,2.0,6.0 +2056,2.0,3.0 +2057,0.0,2.0 +2058,3.0,5.0 +2059,3.0,4.0 +2060,0.0,3.0 +2061,0.0,2.0 +2062,2.0,2.0 +2063,2.0,2.0 +2064,3.0,7.0 +2065,1.0,4.0 +2066,1.0,4.0 +2067,3.0,7.0 +2068,0.0,6.0 +2069,2.0,6.0 +2070,1.0,9.0 +2071,3.0,2.0 +2072,0.0,3.0 +2073,1.0,4.0 +2074,1.0,1.0 +2075,1.0,1.0 +2076,3.0,4.0 +2077,2.0,4.0 +2078,0.0,0.0 +2079,2.0,5.0 +2080,0.0,8.0 +2081,3.0,1.0 +2082,2.0,2.0 +2083,1.0,4.0 +2084,3.0,4.0 +2085,2.0,1.0 +2086,0.0,4.0 +2087,1.0,7.0 +2088,1.0,1.0 +2089,1.0,10.0 +2090,1.0,3.0 +2091,5.0,7.0 +2092,1.0,6.0 +2093,0.0,5.0 +2094,1.0,3.0 +2095,1.0,3.0 +2096,3.0,5.0 +2097,0.0,6.0 +2098,2.0,6.0 +2099,2.0,4.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/99-peak+year_c.csv b/SurgeData/99-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/99-peak+year_c.csv rename to SurgeData/99-peak+year_c.csv diff --git a/SurgeData/N=1000/99-peak+year_w.csv b/SurgeData/99-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/99-peak+year_w.csv rename to SurgeData/99-peak+year_w.csv diff --git a/SurgeData/N=1000/99-peak_c.csv b/SurgeData/99-peak_c.csv similarity index 100% rename from SurgeData/N=1000/99-peak_c.csv rename to SurgeData/99-peak_c.csv diff --git a/SurgeData/N=1000/99-peak_w.csv b/SurgeData/99-peak_w.csv similarity index 100% rename from SurgeData/N=1000/99-peak_w.csv rename to SurgeData/99-peak_w.csv diff --git a/SurgeData/N=1000/99-surge_c.csv b/SurgeData/99-surge_c.csv similarity index 100% rename from SurgeData/N=1000/99-surge_c.csv rename to SurgeData/99-surge_c.csv diff --git a/SurgeData/N=1000/99-surge_w.csv b/SurgeData/99-surge_w.csv similarity index 100% rename from SurgeData/N=1000/99-surge_w.csv rename to SurgeData/99-surge_w.csv diff --git a/SurgeData/N=1000/99-time_c.csv b/SurgeData/99-time_c.csv similarity index 100% rename from SurgeData/N=1000/99-time_c.csv rename to SurgeData/99-time_c.csv diff --git a/SurgeData/N=1000/99-time_w.csv b/SurgeData/99-time_w.csv similarity index 100% rename from SurgeData/N=1000/99-time_w.csv rename to SurgeData/99-time_w.csv diff --git a/SurgeData/N=1000/99-waterlevel_c.csv b/SurgeData/99-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/99-waterlevel_c.csv rename to SurgeData/99-waterlevel_c.csv diff --git a/SurgeData/N=1000/99-waterlevel_w.csv b/SurgeData/99-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/99-waterlevel_w.csv rename to SurgeData/99-waterlevel_w.csv diff --git a/SurgeData/990-num_storm.csv b/SurgeData/990-num_storm.csv new file mode 100644 index 00000000..a8d4dd62 --- /dev/null +++ b/SurgeData/990-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,2.0,4.0 +2022,1.0,3.0 +2023,1.0,3.0 +2024,0.0,2.0 +2025,1.0,2.0 +2026,1.0,4.0 +2027,2.0,2.0 +2028,2.0,2.0 +2029,1.0,9.0 +2030,1.0,3.0 +2031,3.0,3.0 +2032,0.0,4.0 +2033,0.0,2.0 +2034,2.0,3.0 +2035,0.0,4.0 +2036,2.0,6.0 +2037,2.0,5.0 +2038,1.0,8.0 +2039,2.0,5.0 +2040,2.0,1.0 +2041,0.0,1.0 +2042,4.0,3.0 +2043,1.0,1.0 +2044,2.0,5.0 +2045,2.0,5.0 +2046,1.0,4.0 +2047,2.0,2.0 +2048,0.0,4.0 +2049,2.0,5.0 +2050,1.0,0.0 +2051,2.0,4.0 +2052,1.0,7.0 +2053,1.0,8.0 +2054,1.0,2.0 +2055,3.0,5.0 +2056,2.0,4.0 +2057,3.0,5.0 +2058,1.0,7.0 +2059,5.0,4.0 +2060,1.0,3.0 +2061,0.0,6.0 +2062,3.0,2.0 +2063,2.0,3.0 +2064,2.0,4.0 +2065,1.0,3.0 +2066,1.0,7.0 +2067,3.0,4.0 +2068,2.0,6.0 +2069,1.0,6.0 +2070,0.0,2.0 +2071,1.0,4.0 +2072,0.0,3.0 +2073,0.0,2.0 +2074,0.0,6.0 +2075,2.0,6.0 +2076,1.0,4.0 +2077,3.0,6.0 +2078,2.0,3.0 +2079,4.0,2.0 +2080,2.0,5.0 +2081,4.0,3.0 +2082,0.0,2.0 +2083,0.0,6.0 +2084,3.0,2.0 +2085,2.0,4.0 +2086,2.0,5.0 +2087,3.0,2.0 +2088,0.0,1.0 +2089,4.0,4.0 +2090,3.0,4.0 +2091,2.0,4.0 +2092,3.0,1.0 +2093,0.0,6.0 +2094,1.0,6.0 +2095,2.0,1.0 +2096,2.0,9.0 +2097,1.0,5.0 +2098,4.0,6.0 +2099,0.0,4.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/990-peak+year_c.csv b/SurgeData/990-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/990-peak+year_c.csv rename to SurgeData/990-peak+year_c.csv diff --git a/SurgeData/N=1000/990-peak+year_w.csv b/SurgeData/990-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/990-peak+year_w.csv rename to SurgeData/990-peak+year_w.csv diff --git a/SurgeData/N=1000/990-peak_c.csv b/SurgeData/990-peak_c.csv similarity index 100% rename from SurgeData/N=1000/990-peak_c.csv rename to SurgeData/990-peak_c.csv diff --git a/SurgeData/N=1000/990-peak_w.csv b/SurgeData/990-peak_w.csv similarity index 100% rename from SurgeData/N=1000/990-peak_w.csv rename to SurgeData/990-peak_w.csv diff --git a/SurgeData/N=1000/990-surge_c.csv b/SurgeData/990-surge_c.csv similarity index 100% rename from SurgeData/N=1000/990-surge_c.csv rename to SurgeData/990-surge_c.csv diff --git a/SurgeData/N=1000/990-surge_w.csv b/SurgeData/990-surge_w.csv similarity index 100% rename from SurgeData/N=1000/990-surge_w.csv rename to SurgeData/990-surge_w.csv diff --git a/SurgeData/N=1000/990-time_c.csv b/SurgeData/990-time_c.csv similarity index 100% rename from SurgeData/N=1000/990-time_c.csv rename to SurgeData/990-time_c.csv diff --git a/SurgeData/N=1000/990-time_w.csv b/SurgeData/990-time_w.csv similarity index 100% rename from SurgeData/N=1000/990-time_w.csv rename to SurgeData/990-time_w.csv diff --git a/SurgeData/N=1000/990-waterlevel_c.csv b/SurgeData/990-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/990-waterlevel_c.csv rename to SurgeData/990-waterlevel_c.csv diff --git a/SurgeData/N=1000/990-waterlevel_w.csv b/SurgeData/990-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/990-waterlevel_w.csv rename to SurgeData/990-waterlevel_w.csv diff --git a/SurgeData/991-num_storm.csv b/SurgeData/991-num_storm.csv new file mode 100644 index 00000000..65b05a89 --- /dev/null +++ b/SurgeData/991-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,3.0,8.0 +2021,1.0,3.0 +2022,3.0,2.0 +2023,3.0,4.0 +2024,0.0,4.0 +2025,3.0,3.0 +2026,0.0,4.0 +2027,1.0,4.0 +2028,0.0,3.0 +2029,0.0,5.0 +2030,0.0,6.0 +2031,0.0,4.0 +2032,1.0,2.0 +2033,2.0,4.0 +2034,1.0,3.0 +2035,2.0,3.0 +2036,3.0,2.0 +2037,1.0,1.0 +2038,2.0,4.0 +2039,5.0,1.0 +2040,2.0,3.0 +2041,0.0,2.0 +2042,1.0,7.0 +2043,0.0,7.0 +2044,0.0,5.0 +2045,1.0,4.0 +2046,1.0,3.0 +2047,0.0,6.0 +2048,1.0,3.0 +2049,2.0,4.0 +2050,1.0,2.0 +2051,3.0,6.0 +2052,4.0,1.0 +2053,5.0,7.0 +2054,0.0,2.0 +2055,1.0,5.0 +2056,1.0,2.0 +2057,2.0,2.0 +2058,2.0,8.0 +2059,3.0,0.0 +2060,3.0,4.0 +2061,0.0,5.0 +2062,1.0,5.0 +2063,2.0,5.0 +2064,4.0,1.0 +2065,4.0,2.0 +2066,0.0,1.0 +2067,4.0,4.0 +2068,1.0,3.0 +2069,4.0,5.0 +2070,2.0,2.0 +2071,1.0,2.0 +2072,1.0,4.0 +2073,1.0,0.0 +2074,1.0,4.0 +2075,1.0,1.0 +2076,0.0,5.0 +2077,0.0,5.0 +2078,1.0,7.0 +2079,0.0,4.0 +2080,0.0,3.0 +2081,2.0,4.0 +2082,4.0,3.0 +2083,2.0,7.0 +2084,0.0,3.0 +2085,0.0,4.0 +2086,4.0,6.0 +2087,0.0,2.0 +2088,2.0,4.0 +2089,4.0,6.0 +2090,4.0,7.0 +2091,2.0,3.0 +2092,1.0,5.0 +2093,3.0,3.0 +2094,3.0,1.0 +2095,2.0,3.0 +2096,1.0,3.0 +2097,1.0,7.0 +2098,1.0,5.0 +2099,3.0,10.0 +2100,3.0,6.0 diff --git a/SurgeData/N=1000/991-peak+year_c.csv b/SurgeData/991-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/991-peak+year_c.csv rename to SurgeData/991-peak+year_c.csv diff --git a/SurgeData/N=1000/991-peak+year_w.csv b/SurgeData/991-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/991-peak+year_w.csv rename to SurgeData/991-peak+year_w.csv diff --git a/SurgeData/N=1000/991-peak_c.csv b/SurgeData/991-peak_c.csv similarity index 100% rename from SurgeData/N=1000/991-peak_c.csv rename to SurgeData/991-peak_c.csv diff --git a/SurgeData/N=1000/991-peak_w.csv b/SurgeData/991-peak_w.csv similarity index 100% rename from SurgeData/N=1000/991-peak_w.csv rename to SurgeData/991-peak_w.csv diff --git a/SurgeData/N=1000/991-surge_c.csv b/SurgeData/991-surge_c.csv similarity index 100% rename from SurgeData/N=1000/991-surge_c.csv rename to SurgeData/991-surge_c.csv diff --git a/SurgeData/N=1000/991-surge_w.csv b/SurgeData/991-surge_w.csv similarity index 100% rename from SurgeData/N=1000/991-surge_w.csv rename to SurgeData/991-surge_w.csv diff --git a/SurgeData/N=1000/991-time_c.csv b/SurgeData/991-time_c.csv similarity index 100% rename from SurgeData/N=1000/991-time_c.csv rename to SurgeData/991-time_c.csv diff --git a/SurgeData/N=1000/991-time_w.csv b/SurgeData/991-time_w.csv similarity index 100% rename from SurgeData/N=1000/991-time_w.csv rename to SurgeData/991-time_w.csv diff --git a/SurgeData/N=1000/991-waterlevel_c.csv b/SurgeData/991-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/991-waterlevel_c.csv rename to SurgeData/991-waterlevel_c.csv diff --git a/SurgeData/N=1000/991-waterlevel_w.csv b/SurgeData/991-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/991-waterlevel_w.csv rename to SurgeData/991-waterlevel_w.csv diff --git a/SurgeData/N=1000/992-peak+year_c.csv b/SurgeData/992-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/992-peak+year_c.csv rename to SurgeData/992-peak+year_c.csv diff --git a/SurgeData/N=1000/992-peak+year_w.csv b/SurgeData/992-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/992-peak+year_w.csv rename to SurgeData/992-peak+year_w.csv diff --git a/SurgeData/N=1000/992-peak_c.csv b/SurgeData/992-peak_c.csv similarity index 100% rename from SurgeData/N=1000/992-peak_c.csv rename to SurgeData/992-peak_c.csv diff --git a/SurgeData/N=1000/992-peak_w.csv b/SurgeData/992-peak_w.csv similarity index 100% rename from SurgeData/N=1000/992-peak_w.csv rename to SurgeData/992-peak_w.csv diff --git a/SurgeData/N=1000/992-surge_c.csv b/SurgeData/992-surge_c.csv similarity index 100% rename from SurgeData/N=1000/992-surge_c.csv rename to SurgeData/992-surge_c.csv diff --git a/SurgeData/N=1000/992-surge_w.csv b/SurgeData/992-surge_w.csv similarity index 100% rename from SurgeData/N=1000/992-surge_w.csv rename to SurgeData/992-surge_w.csv diff --git a/SurgeData/N=1000/992-time_c.csv b/SurgeData/992-time_c.csv similarity index 100% rename from SurgeData/N=1000/992-time_c.csv rename to SurgeData/992-time_c.csv diff --git a/SurgeData/N=1000/992-time_w.csv b/SurgeData/992-time_w.csv similarity index 100% rename from SurgeData/N=1000/992-time_w.csv rename to SurgeData/992-time_w.csv diff --git a/SurgeData/N=1000/992-waterlevel_c.csv b/SurgeData/992-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/992-waterlevel_c.csv rename to SurgeData/992-waterlevel_c.csv diff --git a/SurgeData/N=1000/992-waterlevel_w.csv b/SurgeData/992-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/992-waterlevel_w.csv rename to SurgeData/992-waterlevel_w.csv diff --git a/SurgeData/993-num_storm.csv b/SurgeData/993-num_storm.csv new file mode 100644 index 00000000..ff7fc6f8 --- /dev/null +++ b/SurgeData/993-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,0.0,4.0 +2021,1.0,11.0 +2022,1.0,3.0 +2023,0.0,4.0 +2024,1.0,3.0 +2025,1.0,4.0 +2026,1.0,1.0 +2027,2.0,4.0 +2028,2.0,5.0 +2029,3.0,4.0 +2030,3.0,4.0 +2031,0.0,4.0 +2032,2.0,2.0 +2033,0.0,7.0 +2034,0.0,5.0 +2035,1.0,3.0 +2036,1.0,5.0 +2037,2.0,4.0 +2038,0.0,3.0 +2039,1.0,6.0 +2040,1.0,3.0 +2041,3.0,4.0 +2042,1.0,4.0 +2043,1.0,4.0 +2044,5.0,4.0 +2045,1.0,1.0 +2046,2.0,3.0 +2047,3.0,3.0 +2048,2.0,6.0 +2049,1.0,8.0 +2050,1.0,5.0 +2051,0.0,5.0 +2052,1.0,9.0 +2053,1.0,5.0 +2054,1.0,6.0 +2055,2.0,4.0 +2056,1.0,3.0 +2057,2.0,4.0 +2058,3.0,4.0 +2059,1.0,4.0 +2060,1.0,3.0 +2061,2.0,3.0 +2062,2.0,6.0 +2063,2.0,6.0 +2064,3.0,5.0 +2065,0.0,3.0 +2066,1.0,5.0 +2067,1.0,5.0 +2068,5.0,2.0 +2069,1.0,2.0 +2070,3.0,2.0 +2071,1.0,4.0 +2072,6.0,1.0 +2073,0.0,8.0 +2074,1.0,4.0 +2075,1.0,6.0 +2076,4.0,3.0 +2077,3.0,4.0 +2078,0.0,4.0 +2079,2.0,2.0 +2080,1.0,3.0 +2081,5.0,7.0 +2082,2.0,1.0 +2083,2.0,6.0 +2084,1.0,7.0 +2085,0.0,3.0 +2086,4.0,7.0 +2087,2.0,3.0 +2088,0.0,4.0 +2089,2.0,7.0 +2090,1.0,5.0 +2091,2.0,3.0 +2092,1.0,5.0 +2093,0.0,8.0 +2094,4.0,3.0 +2095,3.0,5.0 +2096,3.0,4.0 +2097,1.0,2.0 +2098,4.0,5.0 +2099,1.0,2.0 +2100,1.0,2.0 diff --git a/SurgeData/N=1000/993-peak+year_c.csv b/SurgeData/993-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/993-peak+year_c.csv rename to SurgeData/993-peak+year_c.csv diff --git a/SurgeData/N=1000/993-peak+year_w.csv b/SurgeData/993-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/993-peak+year_w.csv rename to SurgeData/993-peak+year_w.csv diff --git a/SurgeData/N=1000/993-peak_c.csv b/SurgeData/993-peak_c.csv similarity index 100% rename from SurgeData/N=1000/993-peak_c.csv rename to SurgeData/993-peak_c.csv diff --git a/SurgeData/N=1000/993-peak_w.csv b/SurgeData/993-peak_w.csv similarity index 100% rename from SurgeData/N=1000/993-peak_w.csv rename to SurgeData/993-peak_w.csv diff --git a/SurgeData/N=1000/993-surge_c.csv b/SurgeData/993-surge_c.csv similarity index 100% rename from SurgeData/N=1000/993-surge_c.csv rename to SurgeData/993-surge_c.csv diff --git a/SurgeData/N=1000/993-surge_w.csv b/SurgeData/993-surge_w.csv similarity index 100% rename from SurgeData/N=1000/993-surge_w.csv rename to SurgeData/993-surge_w.csv diff --git a/SurgeData/N=1000/993-time_c.csv b/SurgeData/993-time_c.csv similarity index 100% rename from SurgeData/N=1000/993-time_c.csv rename to SurgeData/993-time_c.csv diff --git a/SurgeData/N=1000/993-time_w.csv b/SurgeData/993-time_w.csv similarity index 100% rename from SurgeData/N=1000/993-time_w.csv rename to SurgeData/993-time_w.csv diff --git a/SurgeData/N=1000/993-waterlevel_c.csv b/SurgeData/993-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/993-waterlevel_c.csv rename to SurgeData/993-waterlevel_c.csv diff --git a/SurgeData/N=1000/993-waterlevel_w.csv b/SurgeData/993-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/993-waterlevel_w.csv rename to SurgeData/993-waterlevel_w.csv diff --git a/SurgeData/994-num_storm.csv b/SurgeData/994-num_storm.csv new file mode 100644 index 00000000..54b7480d --- /dev/null +++ b/SurgeData/994-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,7.0 +2021,2.0,5.0 +2022,3.0,5.0 +2023,3.0,7.0 +2024,0.0,9.0 +2025,2.0,2.0 +2026,2.0,3.0 +2027,0.0,5.0 +2028,1.0,5.0 +2029,2.0,2.0 +2030,1.0,2.0 +2031,2.0,5.0 +2032,3.0,3.0 +2033,2.0,4.0 +2034,3.0,4.0 +2035,0.0,5.0 +2036,1.0,7.0 +2037,2.0,5.0 +2038,5.0,3.0 +2039,0.0,4.0 +2040,1.0,3.0 +2041,2.0,2.0 +2042,2.0,8.0 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SurgeData/994-peak+year_c.csv diff --git a/SurgeData/N=1000/994-peak+year_w.csv b/SurgeData/994-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/994-peak+year_w.csv rename to SurgeData/994-peak+year_w.csv diff --git a/SurgeData/N=1000/994-peak_c.csv b/SurgeData/994-peak_c.csv similarity index 100% rename from SurgeData/N=1000/994-peak_c.csv rename to SurgeData/994-peak_c.csv diff --git a/SurgeData/N=1000/994-peak_w.csv b/SurgeData/994-peak_w.csv similarity index 100% rename from SurgeData/N=1000/994-peak_w.csv rename to SurgeData/994-peak_w.csv diff --git a/SurgeData/N=1000/994-surge_c.csv b/SurgeData/994-surge_c.csv similarity index 100% rename from SurgeData/N=1000/994-surge_c.csv rename to SurgeData/994-surge_c.csv diff --git a/SurgeData/N=1000/994-surge_w.csv b/SurgeData/994-surge_w.csv similarity index 100% rename from SurgeData/N=1000/994-surge_w.csv rename to SurgeData/994-surge_w.csv diff --git a/SurgeData/N=1000/994-time_c.csv b/SurgeData/994-time_c.csv similarity index 100% rename from SurgeData/N=1000/994-time_c.csv rename to SurgeData/994-time_c.csv diff --git a/SurgeData/N=1000/994-time_w.csv b/SurgeData/994-time_w.csv similarity index 100% rename from SurgeData/N=1000/994-time_w.csv rename to SurgeData/994-time_w.csv diff --git a/SurgeData/N=1000/994-waterlevel_c.csv b/SurgeData/994-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/994-waterlevel_c.csv rename to SurgeData/994-waterlevel_c.csv diff --git a/SurgeData/N=1000/994-waterlevel_w.csv b/SurgeData/994-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/994-waterlevel_w.csv rename to SurgeData/994-waterlevel_w.csv diff --git a/SurgeData/N=1000/995-peak+year_c.csv b/SurgeData/995-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/995-peak+year_c.csv rename to SurgeData/995-peak+year_c.csv diff --git a/SurgeData/N=1000/995-peak+year_w.csv b/SurgeData/995-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/995-peak+year_w.csv rename to SurgeData/995-peak+year_w.csv diff --git a/SurgeData/N=1000/995-peak_c.csv b/SurgeData/995-peak_c.csv similarity index 100% rename from SurgeData/N=1000/995-peak_c.csv rename to SurgeData/995-peak_c.csv diff --git a/SurgeData/N=1000/995-peak_w.csv b/SurgeData/995-peak_w.csv similarity index 100% rename from SurgeData/N=1000/995-peak_w.csv rename to SurgeData/995-peak_w.csv diff --git a/SurgeData/N=1000/995-surge_c.csv b/SurgeData/995-surge_c.csv similarity index 100% rename from SurgeData/N=1000/995-surge_c.csv rename to SurgeData/995-surge_c.csv diff --git a/SurgeData/N=1000/995-surge_w.csv b/SurgeData/995-surge_w.csv similarity index 100% rename from SurgeData/N=1000/995-surge_w.csv rename to SurgeData/995-surge_w.csv diff --git a/SurgeData/N=1000/995-time_c.csv b/SurgeData/995-time_c.csv similarity index 100% rename from SurgeData/N=1000/995-time_c.csv rename to SurgeData/995-time_c.csv diff --git a/SurgeData/N=1000/995-time_w.csv b/SurgeData/995-time_w.csv similarity index 100% rename from SurgeData/N=1000/995-time_w.csv rename to SurgeData/995-time_w.csv diff --git a/SurgeData/N=1000/995-waterlevel_c.csv b/SurgeData/995-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/995-waterlevel_c.csv rename to SurgeData/995-waterlevel_c.csv diff --git a/SurgeData/N=1000/995-waterlevel_w.csv b/SurgeData/995-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/995-waterlevel_w.csv rename to SurgeData/995-waterlevel_w.csv diff --git a/SurgeData/996-num_storm.csv b/SurgeData/996-num_storm.csv new file mode 100644 index 00000000..7fa13367 --- /dev/null +++ b/SurgeData/996-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,2.0 +2021,3.0,2.0 +2022,1.0,13.0 +2023,0.0,1.0 +2024,1.0,2.0 +2025,2.0,5.0 +2026,1.0,3.0 +2027,1.0,5.0 +2028,2.0,6.0 +2029,1.0,1.0 +2030,2.0,1.0 +2031,0.0,3.0 +2032,3.0,3.0 +2033,1.0,4.0 +2034,1.0,5.0 +2035,0.0,4.0 +2036,2.0,7.0 +2037,2.0,5.0 +2038,3.0,5.0 +2039,3.0,4.0 +2040,3.0,4.0 +2041,3.0,7.0 +2042,2.0,1.0 +2043,3.0,1.0 +2044,1.0,5.0 +2045,1.0,5.0 +2046,0.0,3.0 +2047,0.0,2.0 +2048,2.0,2.0 +2049,4.0,2.0 +2050,2.0,4.0 +2051,2.0,4.0 +2052,4.0,7.0 +2053,0.0,6.0 +2054,1.0,1.0 +2055,0.0,5.0 +2056,1.0,4.0 +2057,0.0,1.0 +2058,2.0,5.0 +2059,0.0,2.0 +2060,0.0,8.0 +2061,2.0,2.0 +2062,0.0,6.0 +2063,2.0,5.0 +2064,1.0,2.0 +2065,1.0,4.0 +2066,2.0,2.0 +2067,3.0,6.0 +2068,1.0,6.0 +2069,0.0,6.0 +2070,2.0,2.0 +2071,1.0,4.0 +2072,2.0,7.0 +2073,0.0,3.0 +2074,0.0,6.0 +2075,2.0,3.0 +2076,2.0,5.0 +2077,2.0,5.0 +2078,1.0,5.0 +2079,0.0,3.0 +2080,1.0,1.0 +2081,3.0,7.0 +2082,1.0,4.0 +2083,3.0,5.0 +2084,0.0,5.0 +2085,0.0,6.0 +2086,0.0,1.0 +2087,0.0,8.0 +2088,2.0,0.0 +2089,1.0,4.0 +2090,0.0,4.0 +2091,2.0,3.0 +2092,0.0,3.0 +2093,1.0,6.0 +2094,1.0,4.0 +2095,0.0,2.0 +2096,1.0,3.0 +2097,3.0,3.0 +2098,0.0,6.0 +2099,0.0,6.0 +2100,2.0,5.0 diff --git a/SurgeData/N=1000/996-peak+year_c.csv b/SurgeData/996-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/996-peak+year_c.csv rename to SurgeData/996-peak+year_c.csv diff --git a/SurgeData/N=1000/996-peak+year_w.csv b/SurgeData/996-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/996-peak+year_w.csv rename to SurgeData/996-peak+year_w.csv diff --git a/SurgeData/N=1000/996-peak_c.csv b/SurgeData/996-peak_c.csv similarity index 100% rename from SurgeData/N=1000/996-peak_c.csv rename to SurgeData/996-peak_c.csv diff --git a/SurgeData/N=1000/996-peak_w.csv b/SurgeData/996-peak_w.csv similarity index 100% rename from SurgeData/N=1000/996-peak_w.csv rename to SurgeData/996-peak_w.csv diff --git a/SurgeData/N=1000/996-surge_c.csv b/SurgeData/996-surge_c.csv similarity index 100% rename from SurgeData/N=1000/996-surge_c.csv rename to SurgeData/996-surge_c.csv diff --git a/SurgeData/N=1000/996-surge_w.csv b/SurgeData/996-surge_w.csv similarity index 100% rename from SurgeData/N=1000/996-surge_w.csv rename to SurgeData/996-surge_w.csv diff --git a/SurgeData/N=1000/996-time_c.csv b/SurgeData/996-time_c.csv similarity index 100% rename from SurgeData/N=1000/996-time_c.csv rename to SurgeData/996-time_c.csv diff --git a/SurgeData/N=1000/996-time_w.csv b/SurgeData/996-time_w.csv similarity index 100% rename from SurgeData/N=1000/996-time_w.csv rename to SurgeData/996-time_w.csv diff --git a/SurgeData/N=1000/996-waterlevel_c.csv b/SurgeData/996-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/996-waterlevel_c.csv rename to SurgeData/996-waterlevel_c.csv diff --git a/SurgeData/N=1000/996-waterlevel_w.csv b/SurgeData/996-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/996-waterlevel_w.csv rename to SurgeData/996-waterlevel_w.csv diff --git a/SurgeData/N=1000/997-peak+year_c.csv b/SurgeData/997-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/997-peak+year_c.csv rename to SurgeData/997-peak+year_c.csv diff --git a/SurgeData/N=1000/997-peak+year_w.csv b/SurgeData/997-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/997-peak+year_w.csv rename to SurgeData/997-peak+year_w.csv diff --git a/SurgeData/N=1000/997-peak_c.csv b/SurgeData/997-peak_c.csv similarity index 100% rename from SurgeData/N=1000/997-peak_c.csv rename to SurgeData/997-peak_c.csv diff --git a/SurgeData/N=1000/997-peak_w.csv b/SurgeData/997-peak_w.csv similarity index 100% rename from SurgeData/N=1000/997-peak_w.csv rename to SurgeData/997-peak_w.csv diff --git a/SurgeData/N=1000/997-surge_c.csv b/SurgeData/997-surge_c.csv similarity index 100% rename from SurgeData/N=1000/997-surge_c.csv rename to SurgeData/997-surge_c.csv diff --git a/SurgeData/N=1000/997-surge_w.csv b/SurgeData/997-surge_w.csv similarity index 100% rename from SurgeData/N=1000/997-surge_w.csv rename to SurgeData/997-surge_w.csv diff --git a/SurgeData/N=1000/997-time_c.csv b/SurgeData/997-time_c.csv similarity index 100% rename from SurgeData/N=1000/997-time_c.csv rename to SurgeData/997-time_c.csv diff --git a/SurgeData/N=1000/997-time_w.csv b/SurgeData/997-time_w.csv similarity index 100% rename from SurgeData/N=1000/997-time_w.csv rename to SurgeData/997-time_w.csv diff --git a/SurgeData/N=1000/997-waterlevel_c.csv b/SurgeData/997-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/997-waterlevel_c.csv rename to SurgeData/997-waterlevel_c.csv diff --git a/SurgeData/N=1000/997-waterlevel_w.csv b/SurgeData/997-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/997-waterlevel_w.csv rename to SurgeData/997-waterlevel_w.csv diff --git a/SurgeData/998-num_storm.csv b/SurgeData/998-num_storm.csv new file mode 100644 index 00000000..7f196aa8 --- /dev/null +++ b/SurgeData/998-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,2.0,3.0 +2021,2.0,2.0 +2022,1.0,1.0 +2023,2.0,6.0 +2024,1.0,3.0 +2025,1.0,5.0 +2026,4.0,4.0 +2027,3.0,4.0 +2028,2.0,2.0 +2029,2.0,6.0 +2030,0.0,5.0 +2031,0.0,1.0 +2032,0.0,3.0 +2033,2.0,4.0 +2034,1.0,2.0 +2035,2.0,2.0 +2036,1.0,4.0 +2037,2.0,4.0 +2038,1.0,3.0 +2039,2.0,6.0 +2040,2.0,10.0 +2041,1.0,3.0 +2042,0.0,4.0 +2043,1.0,5.0 +2044,0.0,7.0 +2045,1.0,3.0 +2046,0.0,5.0 +2047,0.0,3.0 +2048,1.0,2.0 +2049,2.0,4.0 +2050,0.0,2.0 +2051,3.0,3.0 +2052,4.0,2.0 +2053,1.0,8.0 +2054,3.0,8.0 +2055,0.0,7.0 +2056,2.0,2.0 +2057,0.0,5.0 +2058,3.0,4.0 +2059,1.0,4.0 +2060,0.0,5.0 +2061,1.0,6.0 +2062,1.0,2.0 +2063,2.0,4.0 +2064,1.0,5.0 +2065,1.0,2.0 +2066,3.0,4.0 +2067,2.0,4.0 +2068,5.0,3.0 +2069,2.0,7.0 +2070,1.0,4.0 +2071,0.0,5.0 +2072,3.0,1.0 +2073,2.0,2.0 +2074,1.0,0.0 +2075,1.0,6.0 +2076,1.0,2.0 +2077,1.0,4.0 +2078,1.0,5.0 +2079,1.0,7.0 +2080,2.0,5.0 +2081,1.0,3.0 +2082,0.0,4.0 +2083,1.0,1.0 +2084,1.0,5.0 +2085,0.0,4.0 +2086,2.0,2.0 +2087,3.0,6.0 +2088,2.0,5.0 +2089,3.0,0.0 +2090,3.0,5.0 +2091,0.0,4.0 +2092,3.0,3.0 +2093,1.0,1.0 +2094,2.0,2.0 +2095,0.0,5.0 +2096,2.0,1.0 +2097,1.0,2.0 +2098,1.0,4.0 +2099,1.0,8.0 +2100,1.0,3.0 diff --git a/SurgeData/N=1000/998-peak+year_c.csv b/SurgeData/998-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/998-peak+year_c.csv rename to SurgeData/998-peak+year_c.csv diff --git a/SurgeData/N=1000/998-peak+year_w.csv b/SurgeData/998-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/998-peak+year_w.csv rename to SurgeData/998-peak+year_w.csv diff --git a/SurgeData/N=1000/998-peak_c.csv b/SurgeData/998-peak_c.csv similarity index 100% rename from SurgeData/N=1000/998-peak_c.csv rename to SurgeData/998-peak_c.csv diff --git a/SurgeData/N=1000/998-peak_w.csv b/SurgeData/998-peak_w.csv similarity index 100% rename from SurgeData/N=1000/998-peak_w.csv rename to SurgeData/998-peak_w.csv diff --git a/SurgeData/N=1000/998-surge_c.csv b/SurgeData/998-surge_c.csv similarity index 100% rename from SurgeData/N=1000/998-surge_c.csv rename to SurgeData/998-surge_c.csv diff --git a/SurgeData/N=1000/998-surge_w.csv b/SurgeData/998-surge_w.csv similarity index 100% rename from SurgeData/N=1000/998-surge_w.csv rename to SurgeData/998-surge_w.csv diff --git a/SurgeData/N=1000/998-time_c.csv b/SurgeData/998-time_c.csv similarity index 100% rename from SurgeData/N=1000/998-time_c.csv rename to SurgeData/998-time_c.csv diff --git a/SurgeData/N=1000/998-time_w.csv b/SurgeData/998-time_w.csv similarity index 100% rename from SurgeData/N=1000/998-time_w.csv rename to SurgeData/998-time_w.csv diff --git a/SurgeData/N=1000/998-waterlevel_c.csv b/SurgeData/998-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/998-waterlevel_c.csv rename to SurgeData/998-waterlevel_c.csv diff --git a/SurgeData/N=1000/998-waterlevel_w.csv b/SurgeData/998-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/998-waterlevel_w.csv rename to SurgeData/998-waterlevel_w.csv diff --git a/SurgeData/999-num_storm.csv b/SurgeData/999-num_storm.csv new file mode 100644 index 00000000..88afc981 --- /dev/null +++ b/SurgeData/999-num_storm.csv @@ -0,0 +1,82 @@ +Year,Warm,Cold +2020,1.0,6.0 +2021,1.0,2.0 +2022,2.0,7.0 +2023,3.0,6.0 +2024,0.0,5.0 +2025,3.0,2.0 +2026,1.0,2.0 +2027,4.0,8.0 +2028,0.0,2.0 +2029,3.0,4.0 +2030,1.0,1.0 +2031,1.0,1.0 +2032,0.0,3.0 +2033,4.0,4.0 +2034,1.0,6.0 +2035,0.0,4.0 +2036,1.0,3.0 +2037,1.0,5.0 +2038,1.0,5.0 +2039,2.0,5.0 +2040,1.0,4.0 +2041,2.0,3.0 +2042,1.0,7.0 +2043,1.0,2.0 +2044,1.0,4.0 +2045,4.0,4.0 +2046,2.0,5.0 +2047,2.0,3.0 +2048,0.0,2.0 +2049,1.0,1.0 +2050,0.0,8.0 +2051,0.0,1.0 +2052,2.0,3.0 +2053,2.0,2.0 +2054,3.0,5.0 +2055,4.0,5.0 +2056,0.0,8.0 +2057,2.0,6.0 +2058,0.0,2.0 +2059,1.0,6.0 +2060,1.0,2.0 +2061,2.0,1.0 +2062,2.0,3.0 +2063,5.0,1.0 +2064,2.0,3.0 +2065,1.0,5.0 +2066,1.0,4.0 +2067,1.0,3.0 +2068,1.0,5.0 +2069,4.0,5.0 +2070,1.0,4.0 +2071,0.0,6.0 +2072,4.0,5.0 +2073,1.0,6.0 +2074,1.0,5.0 +2075,2.0,5.0 +2076,1.0,5.0 +2077,1.0,2.0 +2078,2.0,6.0 +2079,4.0,7.0 +2080,1.0,4.0 +2081,0.0,5.0 +2082,2.0,5.0 +2083,3.0,4.0 +2084,3.0,5.0 +2085,2.0,4.0 +2086,1.0,5.0 +2087,1.0,7.0 +2088,3.0,5.0 +2089,3.0,5.0 +2090,0.0,6.0 +2091,1.0,3.0 +2092,0.0,4.0 +2093,0.0,4.0 +2094,1.0,6.0 +2095,1.0,2.0 +2096,2.0,12.0 +2097,1.0,1.0 +2098,1.0,2.0 +2099,2.0,1.0 +2100,1.0,5.0 diff --git a/SurgeData/N=1000/999-peak+year_c.csv b/SurgeData/999-peak+year_c.csv similarity index 100% rename from SurgeData/N=1000/999-peak+year_c.csv rename to SurgeData/999-peak+year_c.csv diff --git a/SurgeData/N=1000/999-peak+year_w.csv b/SurgeData/999-peak+year_w.csv similarity index 100% rename from SurgeData/N=1000/999-peak+year_w.csv rename to SurgeData/999-peak+year_w.csv diff --git a/SurgeData/N=1000/999-peak_c.csv b/SurgeData/999-peak_c.csv similarity index 100% rename from SurgeData/N=1000/999-peak_c.csv rename to SurgeData/999-peak_c.csv diff --git a/SurgeData/N=1000/999-peak_w.csv b/SurgeData/999-peak_w.csv similarity index 100% rename from SurgeData/N=1000/999-peak_w.csv rename to SurgeData/999-peak_w.csv diff --git a/SurgeData/N=1000/999-surge_c.csv b/SurgeData/999-surge_c.csv similarity index 100% rename from SurgeData/N=1000/999-surge_c.csv rename to SurgeData/999-surge_c.csv diff --git a/SurgeData/N=1000/999-surge_w.csv b/SurgeData/999-surge_w.csv similarity index 100% rename from SurgeData/N=1000/999-surge_w.csv rename to SurgeData/999-surge_w.csv diff --git a/SurgeData/N=1000/999-time_c.csv b/SurgeData/999-time_c.csv similarity index 100% rename from SurgeData/N=1000/999-time_c.csv rename to SurgeData/999-time_c.csv diff --git a/SurgeData/N=1000/999-time_w.csv b/SurgeData/999-time_w.csv similarity index 100% rename from SurgeData/N=1000/999-time_w.csv rename to SurgeData/999-time_w.csv diff --git a/SurgeData/N=1000/999-waterlevel_c.csv b/SurgeData/999-waterlevel_c.csv similarity index 100% rename from SurgeData/N=1000/999-waterlevel_c.csv rename to SurgeData/999-waterlevel_c.csv diff --git a/SurgeData/N=1000/999-waterlevel_w.csv b/SurgeData/999-waterlevel_w.csv similarity index 100% rename from SurgeData/N=1000/999-waterlevel_w.csv rename to SurgeData/999-waterlevel_w.csv diff --git a/Untitled.ipynb b/Untitled.ipynb new file mode 100644 index 00000000..edb087f0 --- /dev/null +++ b/Untitled.ipynb @@ -0,0 +1,60 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.random.uniform(low=0.0, high=5.0, size=163)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "np.savetxt('wall0.txt',x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Untitled1.ipynb b/Untitled1.ipynb new file mode 100644 index 00000000..1c1d229c --- /dev/null +++ b/Untitled1.ipynb @@ -0,0 +1,132 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.array([1,2,3,4])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "x = [a,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1, 2, 3, 4])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.array([np.arange(0,5),np.array([0,0,.5,1,1,1])])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.array([[0.,1.,2.,3.,4.],[0.,0.,.5,1.,1.,1.]])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[list([0.0, 1.0, 2.0, 3.0, 4.0]) list([0.0, 0.0, 0.5, 1.0, 1.0, 1.0])]\n" + ] + } + ], + "source": [ + "print(x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Untitled2.ipynb b/Untitled2.ipynb new file mode 100644 index 00000000..cd121834 --- /dev/null +++ b/Untitled2.ipynb @@ -0,0 +1,81 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "743\n", + "4643428230.623345\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "d = []\n", + "for i in range(1530):\n", + " d.append(np.genfromtxt('n2/'+str(i)))\n", + "d = np.array(d)\n", + "minv = d[0,3]\n", + "mini = 0\n", + "for i in range(1530):\n", + " if (d[i,3] < minv):\n", + " minv = d[i,3]\n", + " mini = i\n", + "\n", + "print(mini)\n", + "print(minv)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[4.00000000e+01 1.63000000e+02 2.00000000e+00 4.64342823e+09\n", + " 2.69025600e+09]\n" + ] + } + ], + "source": [ + "print(np.genfromtxt('n2/'+str(mini)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/__pycache__/fun_damagecost.cpython-36.pyc b/__pycache__/fun_damagecost.cpython-36.pyc new file mode 100644 index 00000000..e408a740 Binary files /dev/null and b/__pycache__/fun_damagecost.cpython-36.pyc differ diff --git a/__pycache__/fun_floodestimate.cpython-36.pyc b/__pycache__/fun_floodestimate.cpython-36.pyc new file mode 100644 index 00000000..1eff3286 Binary files /dev/null and b/__pycache__/fun_floodestimate.cpython-36.pyc differ diff --git a/__pycache__/fun_objective_loop.cpython-36.pyc b/__pycache__/fun_objective_loop.cpython-36.pyc new file mode 100644 index 00000000..3c50d410 Binary files /dev/null and b/__pycache__/fun_objective_loop.cpython-36.pyc differ diff --git a/__pycache__/fun_objective_loop_new.cpython-36.pyc b/__pycache__/fun_objective_loop_new.cpython-36.pyc new file mode 100644 index 00000000..9ff9f392 Binary files /dev/null and b/__pycache__/fun_objective_loop_new.cpython-36.pyc differ diff --git a/all_walls_array.npy b/all_walls_array.npy new file mode 100644 index 00000000..4b9171b4 Binary files /dev/null and b/all_walls_array.npy differ diff --git a/all_walls_div_array.npy b/all_walls_div_array.npy new file mode 100644 index 00000000..760117cf Binary files /dev/null and b/all_walls_div_array.npy differ diff --git a/compare div.ipynb b/compare div.ipynb new file mode 100644 index 00000000..4eb0cf78 --- /dev/null +++ b/compare div.ipynb @@ -0,0 +1,2816 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "num_files = 1520" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1520, 5)\n", + "start, end, height, total cost, wall cost\n", + "(1520, 100, 18)\n" + ] + } + ], + "source": [ + "all_walls_array = np.load('all_walls_array.npy')\n", + "all_walls_div_array = np.load('all_walls_div_array.npy')\n", + "print(all_walls_array.shape)\n", + "print('start, end, height, total cost, wall cost')\n", + "print(all_walls_div_array.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2447282822.328389\n", + "164\n" + ] + } + ], + "source": [ + "#unconstrained minimum\n", + "\n", + "min_cost = 1e10\n", + "min_index = 0\n", + "for i in range(num_files):\n", + " total_cost = all_walls_array[i,3]\n", + " if total_cost < min_cost:\n", + " min_cost = total_cost\n", + " min_index = i\n", + "print(min_cost)\n", + "print(min_index)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.00000000e+00 1.63000000e+02 2.50000000e+00 2.44728282e+09\n", + " 1.99308600e+09]\n" + ] + } + ], + "source": [ + "print(all_walls_array[164,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[166, 167, 168, 169]\n", + "[0.00000000e+00 1.63000000e+02 3.50000000e+00 3.01511551e+09\n", + " 2.79032040e+09]\n", + "[0.00000000e+00 1.63000000e+02 4.00000000e+00 3.37880044e+09\n", + " 3.18893760e+09]\n", + "[0.00000000e+00 1.63000000e+02 4.50000000e+00 3.77083628e+09\n", + " 3.58755480e+09]\n", + "[0.00000000e+00 1.63000000e+02 5.00000000e+00 4.16148231e+09\n", + " 3.98617200e+09]\n" + ] + } + ], + "source": [ + "# Constraint parameters\n", + "threshold = 2e8\n", + "percentage = 95\n", + "\n", + "\n", + "satisfy = []\n", + "for i in range(num_files):\n", + " if np.sum(np.sum(all_walls_div_array[i,:,:] < threshold, axis = 0) > percentage) == 18:\n", + " satisfy.append(i)\n", + " \n", + " #print(div_array.shape)\n", + " #total_cost = wall[3]\n", + "\n", + " #if total_cost < min_cost:\n", + " # min_cost = total_cost\n", + " # min_index = i\n", + " #print(total_cost)\n", + "print(satisfy)\n", + "\n", + "for i in satisfy:\n", + " print(all_walls_array[i,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'frequency')" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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kdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdXoLhSQfSrIlyTentR2a5Nokt7fnQ1p7klyYZFOSW5Ic31ddkqQd63NP4SPAK7dpWwNsqKrlwIa2DnAysLw9VgMX9ViXJGkHeguFqroB+PE2zacB69ryOuD0ae2X1MCNwJIkR/ZVmyRpZvN9TOGIqroHoD0f3tqPAu6e1m+itW0nyeok40nGJycney1WkhabveVAc2Zoq5k6VtXaqlpRVSvGxsZ6LkuSFpf5DoV7p4aF2vOW1j4BHD2t31Jg8zzXJkmL3nyHwnpgZVteCVw1rf2cdhbSCcDWqWEmSdL82b+vDSe5FHgZcFiSCeBPgQuAy5OsAu4CzmjdrwZOATYBDwHn9lWXJGnHeguFqnrtDl46aYa+BZzXVy2SpOHsLQeaJUl7AUNBktQxFCRJnd6OKUjSfFm25jMj+dw7Lzh1JJ/bJ/cUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkd5z5aREY1PwyMbo6YUX5naSEyFCRpF+2Lf2g5fCRJ6rinMAKLcUhjMX5naSHaq/YUkrwyyW1JNiVZM+p6JGmx2Wv2FJLsB7wfeAUwAXw1yfqq+nYfn+dfrpK0vb1pT+GFwKaquqOqHgYuA04bcU2StKjsNXsKwFHA3dPWJ4AXbdspyWpgdVt9MMlt81Db7joM+OGoi9hNfoe9g99h7zDy75B379bbn7GjF/amUMgMbbVdQ9VaYG3/5ew5ScarasWo69gdfoe9g99h77AvfIcd2ZuGjyaAo6etLwU2j6gWSVqU9qZQ+CqwPMkxSZ4InAWsH3FNkrSo7DXDR1X1SJI/Bj4L7Ad8qKq+NeKy9pQFNdy1A36HvYPfYe+wL3yHGaVqu2F7SdIitTcNH0mSRsxQkCR1DIUeJXlykq8k+XqSbyX5d6OuaVcl2S/J15J8etS17Iokdyb5RpKbk4yPup5dkWRJkiuSfCfJrUlePOqa5iLJse3ff+rxQJI3jbquuUjy5vaz/M0klyZ58qhr2tM8ptCjJAEOqqoHkxwAfAl4Y1XdOOLS5izJvwRWAL9UVa8adT1zleROYEVVLdiLppKsA75YVR9sZ+gdWFX3j7quXdGmtfkB8KKq+v6o6xlGkqMY/Aw/t6r+b5LLgaur6iOjrWzPck+hRzXwYFs9oD0WXAonWQqcCnxw1LUsVkl+CXgpcDFAVT28UAOhOQn47kIJhGn2B56SZH/gQPbBa6kMhZ61YZebgS3AtVX15VHXtAv+Cngr8ItRF7IbCvhcko1tqpSF5pnAJPDhNoz3wSQHjbqo3XAWcOmoi5iLqvoB8B7gLuAeYGtVfW60Ve15hkLPqurRqjqOwRXaL0zyG6OuaS6SvArYUlUbR13LbnpJVR0PnAycl+Sloy5ojvYHjgcuqqrnAz8FFuT08m3o69XAJ0Zdy1wkOYTBJJ3HAL8MHJTk9aOtas8zFOZJ29X/AvDKEZcyVy8BXt3G5C8DTkzyN6Mtae6qanN73gJcyWBW3oVkApiYtqd5BYOQWIhOBm6qqntHXcgcvRz4XlVNVtX/Az4J/PaIa9rjDIUeJRlLsqQtP4XBf6rvjLaquamqt1XV0qpaxmCX//NVtaD+OkpyUJKDp5aB3wO+Odqq5qaq/h64O8mxrekkoJd7jcyD17LAho6au4ATkhzYTiI5Cbh1xDXtcXvNNBf7qCOBde1MiycAl1fVgjylc4E7Arhy8HPM/sDHq+qa0Za0S84HPtaGX+4Azh1xPXOW5EAGN9J6w6hrmauq+nKSK4CbgEeAr7EPTnfhKamSpI7DR5KkjqEgSeoYCpKkjqEgSeoYCpK0QCT5UJItSWY9pTrJM5JsSHJLki+06WpmZSho0Wqzjv6LIfotS/K6Ifv1cv1Dkpcl2eculNKcfYThL4B9D3BJVf0m8GfAnw/zJkNBi9kSYNZQAJYBs4ZCz17GPnj1rOamqm4Afjy9LcmvJrmmzev1xSS/1l56LrChLV/HYIqOWRkKWswuAH61ze3/Fxn4izZX/jeSnDmt3++0fm9uewRfTHJTe8z6yzrJW9s2v57kgtZ2XJIb2+79lW1uHZL8SZJvt/bLkiwD/hnw5lbD7/Tyr6GFai1wflW9AHgL8J9b+9eB17Tl3wcOTvL02TbmxWtatNov209X1W+09dcw+OX7SuAw4KvAi4BjgbdM3UeiXZX7i6r6WZLlwKVVtWLb7U37nJOBfwu8vKoeSnJoVf04yS0MfpivT/JnDO5V8aYkm4FjqurnSZZU1f1J3gk8WFXv6fdfRXu76f/PkjyVwey5t03r8qSqek6SXwbex2ACvxsYBMSvV9XWnW3faS6kx/xDBr/gHwXuTXI98FvAA9v0OwB4X5LjgEeBZ8+y3ZcDH66qhwBaIDwNWFJV17c+63hs1tBbGExn8SngU7v7pbRPewJwf5uJ+XHaJJB/ANDC4zWzBcLUBiUNZMh+bwbuBZ7H4G50Txxiu3PZJT8VeD/wAmBju6GLtJ2qegD4XpIzYHC3xyTPa8uHJZn6Hf824EPDbNNQ0GL2E+Dgaes3AGe2GyONMbjT2Vdm6Pc04J6q+gVwNrDfLJ/zOeAft2En2vDRVuC+accHzgaubz/ER1fVdQxubLQEeOoMNWgRSnIp8HfAsUkmkqwC/ghYleTrwLd47IDyy4DbkvwfBpNC/vuhPsNjClrMknwc+E3gfzD4JfwfGcz3X8C7quq/ZXB/7WsYHGf4CPBp4G+Bhxic1XF+VT11R8cU2uesAc4BHmZwX9+3t+GnDzC4rePUrKcPtm0+jcEext9U1QVJns3gHgq/aJ/3xT3/ryEZCpKkaRw+kiR1DAVJUsdQkCR1DAVJUsdQkCR1DAVJUsdQkCR1/j/GRXALLHbtRAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(all_walls_array[:,3])\n", + "plt.xlabel('total cost')\n", + "plt.ylabel('frequency')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'frequency')" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(all_walls_array[:,3]-all_walls_array[:,4])\n", + "plt.xlabel('total cost')\n", + "plt.ylabel('frequency')" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.00000000e+00 1.63000000e+02 2.50000000e+00 2.44728282e+09\n", + " 1.99308600e+09]\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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+dlWkmbuIxDz99NNxb3fOHdf2wOv3v/99iaE9Z84cNm3a5Ks+P7ztg+fPnx/aYAeFu0i18+qrr5Kamkq7du1ijbB27dpF9+7dSU1NpXv37uzevRuInOY3fPhwsrKyaN68eewt8Hv27KFr166kpaXRtm1b8vLyGDVqFF9//TVpaWn079+fgoICLr30UoYNG0b79u356KOPGDp0KBkZGbRp04YnnvjvXxlFW9vWq1ePxx57jHbt2pGZmcknn3zCsmXLePvtt3nkkUdIS0tjx44d7Nixg+uuu47LLruMLl26xFoL79y5k06dOtGhQwcef/zxYr8P48ePp23btrRt25acnBwg0hI5OTmZQYMGkZqaSt++fTl06FDc9sGJiYns27cvts8999xD27Zt6d+/PwsWLKBz5860aNGCFStWAPDkk0/GOmQCtG3bloKCglLvX9kU7h6zZ8+uVg355fSyceNGnnrqKd555x3Wrl3Lc89F2h888MADDBw4MNbSd/jw4bF99uzZw9KlS5k3bx6jRo0CYPr06fzgBz8gPz+ftWvXkpaWxjPPPEOdOnXIz8+P9WDZunUrAwcOZM2aNVx88cU89dRTrFy5knXr1vH3v/+ddevWnVDjV199RWZmJmvXrqVr16688sorZGVl8cMf/pBnn32W/Px8LrnkErKzs3n++edZtWoV48aNi33i0YMPPsjQoUP5xz/+wXe+852434dVq1YxefJk3n//fd577z1eeeUV1qxZE6s5OzubdevWcfbZZzNx4sQT2gd7bd++nQcffJB169axZcsWpk+fztKlSxk3blyxf81U5P6ngsLdo1GjRjRq1CjoMkTieuedd+jbt2/sZ/RYa93ly5fHPupuwIABx7Wsvemmm6hRowatW7eOtdvt0KEDkydP5sknn2T9+vXUr18/7uNdfPHFZGZmxq7PmjWL9u3bk56ezsaNG+Mus5xxxhnccMMNwPEtg4v68ssvWbZsGf369SMtLY17772XPXv2APDuu+9y++23x8YSz9KlS7n55ps566yzqFevHr179459OEmzZs3o3LkzAHfeeWep2vcmJSWRkpJCjRo1aNOmDd27d8fMSt1+1+/+p4LC3SM3N5fc3NygyxCJK1773niKblO0teyxXlJdu3ZlyZIlNGnShAEDBhT74RBF2/fu3LmTcePGsXDhQtatW8f1118ft31vQkJC7PGLa9/77bff0qBBA/Lz82P/Nm/eHLf+eIJu3wvHt/A91e17y0Ph7qFwl6qse/fuzJo1i/379wPEPo4tKyuL1157DYj0UL/iiitOepxdu3Zx/vnnM2TIEO6++25Wr14NRIL5yJEjcff597//zVlnncU555zDJ598wl/+8pcy1V60he7ZZ59NUlISr7/+OhAJ67Vr1wKRToxFxxJP165dmTNnDocOHeKrr77iz3/+M126dAFg9+7dLF++HIi0/z32vfDbwjcxMTH2fVq9ejU7d+4s97Eqg06FFPGhsk9dbNOmDY899hhXXnklNWvWJD09ndzcXCZMmMBdd93Fs88+S+PGjZk8efJJj7N48WKeffZZEhISqFevXmzmnp2dTWpqKu3bt+epp546bp927dqRnp5OmzZtaN68eWzpo7Ruu+02hgwZwoQJE5g9ezbTpk1j6NChjB07liNHjnDbbbfRrl07nnvuOe644w6ee+45+vTpE/dY7du3Z/DgwXTs2BGInIqZnp4eexF4ypQp3HvvvbRo0YKhQ4fGxla0fXBZ9enTh1dffZW0tDQ6dOgQ+xSrqkotfz3U8ldORi1/q7aCggJuuOGGuP3cq7tKbflrZj82s41mtsHMZphZbTNLMrP3zewDM5tpZmf4eQwRESm7coe7mTUBhgMZzrm2QE3gNuDXwG+dcy2Az4G7K6JQEZGSJCYmhnLWXh5+19xrAXXM7AhQF9gDfB+4I3r/FOBJ4CWfj1Np5s+fH3QJUsWV9owVkYpSnuXzcs/cnXP/BMYBu4mE+kFgFXDAOXfs3J9CoEm8/c0s28xWmtnKvXv3lreMCle3bt1Y7wkRr9q1a7N///5y/WcTKQ/nHPv376d27dpl2q/cM3czOxe4EUgCDgCvAz3i1RZvf+fcJGASRF5QLW8dFW3ixIkAsXfLiRTVtGlTCgsLqUoTEgm/2rVr07Rp0zLt42dZ5mpgp3NuL4CZvQlkAQ3MrFZ09t4U+NjHY1S6WbNmAQp3iS8hIYGkpKSgyxApkZ+zZXYDmWZW1yILkN2BTcAioG90m0HAW/5KFBGRsvKz5v4+MBtYDayPHmsS8CjwkJltBxoCf6iAOkVEpAx8nS3jnHsC8L5F70Ogo5/jioiIP+otIyISQuot46G2AyISBpq5i4iEkMLdY9y4ccd9lJaISHWkcPeYN28e8+bNC7oMERFfFO4iIiGkcBcRCSGFu4hICOlUSI86deoEXYKIiG8Kd4+yfuiviEhVpGUZEZEQUrh7/PKXv+SXv/xl0GWIiPiicPdYuHAhCxcuDLoMERFfFO4iIiGkcBcRCSGFu4hICOlUSI+GDRsGXYKIiG8Kd4833ngj6BJERHzTsoyISAgp3D1Gjx7N6NGjgy5DRMQXLct4LF++POgSRER808xdRCSEFO4iIiGkcBcRCSGtuXs0bdo06BJERHxTuHv86U9/CroEERHftCwjIhJCCnePESNGMGLEiKDLEBHxRcsyHvn5+UGXICLim2buIiIhpHAXEQkhhbuISAj5WnM3swbA74G2gAPuArYCM4FEoAC4xTn3ua8qK1HLli2DLkFExDe/L6g+B/zVOdfXzM4A6gJjgIXOuWfMbBQwCnjU5+NUmkmTJgVdgoiIb+VeljGzs4GuwB8AnHP/55w7ANwITIluNgW4yW+RIiJSNn7W3JsDe4HJZrbGzH5vZmcBFzjn9gBEv55fAXVWmuzsbLKzs4MuQ0TEFz/hXgtoD7zknEsHviKyBFMqZpZtZivNbOXevXt9lFGxtm3bxrZt24IuQ0TEFz/hXggUOufej16fTSTsPzGzCwGiXz+Nt7NzbpJzLsM5l9G4cWMfZYiIiFe5w9059y/gIzNrFb2pO7AJeBsYFL1tEPCWrwpFRKTM/J4t8z/AtOiZMh8CPyLyC2OWmd0N7Ab6+XwMEREpI1/h7pzLBzLi3NXdz3GDlJaWFnQJIiK+qXGYR05OTtAliIj4pvYDIiIhpHD3uPPOO7nzzjuDLkNExBcty3gUFhYGXYKIiG+auYuIhJDCXUQkhBTuIiIhpDV3j06dOgVdgoiIbwp3j1/96ldBlyAi4puWZUREQkjh7tGnTx/69OkTdBkiIr5oWcZj//79QZcgIuKbZu4iIiGkcBcRCSGFu4hICGnN3aN792rbil5EJEbh7vH4448HXYKIiG9alhERCSGFu0ePHj3o0aNH0GWIiPiiZRmPr7/+OugSRER808xdRCSEFO4iIiGkcBcRCSGtuXvccMMNQZcgIuKbwt1j5MiRQZcgIuKblmVEREJI4e7RrVs3unXrFnQZIiK+KNxFREJI4S4iEkIKdxGREFK4i4iEkE6F9LjllluCLkFExDeFu8ewYcOCLkFExDffyzJmVtPM1pjZvOj1JDN738w+MLOZZnaG/zIrz6FDhzh06FDQZYiI+FIRa+4PApuLXP818FvnXAvgc+DuCniMStOzZ0969uwZdBkiIr74CnczawpcD/w+et2A7wOzo5tMAW7y8xgiIlJ2fmfuOcBPgG+j1xsCB5xzR6PXC4Em8XY0s2wzW2lmK/fu3euzDBERKarc4W5mNwCfOudWFb05zqYu3v7OuUnOuQznXEbjxo3LW4aIiMTh52yZzsAPzawnUBs4m8hMvoGZ1YrO3psCH/svU0REyqLc4e6cGw2MBjCzbsBI51x/M3sd6Au8BgwC3qqAOivN4MGDgy5BRMS3U3Ge+6PAa2Y2FlgD/OEUPMYpo3AXkTCokHB3zi0GFkcvfwh0rIjjBmHfvn0ANGrUKOBKRETKT+9Q9ejbty8AixcvDrYQEREf1DhMRCSEFO4iIiGkcBcRCSGFu4hICOkFVY+hQ4cGXYKIiG8Kd49bb7016BJERHzTsozHRx99xEcffRR0GSIivmjm7jFgwABA57mLSPWmmbuISAgp3EVEQkjhLiISQgp3EZEQ0guqHg8//HDQJYiI+KZw9+jVq1fQJYiI+KZlGY+tW7eydevWoMsQEfFFM3ePe++9F9B57iJSvWnmLiISQgp3EZEQUriLiISQwl1EJIT0gqrHT3/606BLEBHxTeHucfXVVwddgoiIb1qW8cjPzyc/Pz/oMkREfNHM3WPEiBGAznMXkepNM3cRkRBSuIuIhJDCXUQkhBTuIiIhpBdUPZ5++umgSxAR8U3h7pGVlRV0CSIivmlZxmPZsmUsW7Ys6DJERHwp98zdzJoBrwLfAb4FJjnnnjOz84CZQCJQANzinPvcf6mVY8yYMYDOcxeR6s3PzP0o8LBz7lIgE7jfzFoDo4CFzrkWwMLodRERqUTlDnfn3B7n3Oro5S+AzUAT4EZgSnSzKcBNfosUEZGyqZA1dzNLBNKB94ELnHN7IPILADi/mH2yzWylma3cu3dvRZQhIiJRvsPdzOoBbwAjnHP/Lu1+zrlJzrkM51xG48aN/ZYhIiJF+DoV0swSiAT7NOfcm9GbPzGzC51ze8zsQuBTv0VWppycnKBLEBHxzc/ZMgb8AdjsnBtf5K63gUHAM9Gvb/mqsJKlpaUFXYKIiG9+Zu6dgQHAejM71gB9DJFQn2VmdwO7gX7+SqxcCxYsAPShHSJSvZU73J1zSwEr5u7u5T1u0MaOHQso3EWketM7VEVEQkjhLiISQgp3EZEQUriLiISQWv56vPzyy0GXICLim8Ldo1WrVkGXICLim5ZlPObOncvcuXODLkNExBfN3D1+85vfANCrV6+AKxERKT/N3EVEQkjhLiISQgp3EZEQUriLiISQXlD1mDp1atAliIj4pnD3aNasWdAliIj4pmUZj5kzZzJz5sygyxAR8UUzd4+XXnoJgFtvvTXgSkREyk8zdxGREFK4i4iEkMJdRCSEFO4iIiGkF1Q9Zs+eHXQJIiK+Kdw9GjVqFHQJIiK+aVnGIzc3l9zc3KDLEBHxReHuoXAXkTBQuIuIhJDCXUQkhBTuIiIhpHAXEQkhnQrpMX/+/KBLEBHxTeHuUbdu3aBLEBHxTcsyHhMnTmTixIlBlyEi4ovC3WPWrFnMmjUr6DJERHxRuIuIhNApCXczu87MtprZdjMbdSoeQ0REilfh4W5mNYEXgR5Aa+B2M2td0Y8jIiLFOxUz947Adufch865/wNeA248BY8jIiLFOBWnQjYBPipyvRC43LuRmWUD2dGrX5rZ1nI+XiNgX3F3TrzXynVQs/Lt59NJx1LNhGUsYRkHaCxVlZ+xXFzcHaci3OOlojvhBucmAZN8P5jZSudcht/jVAUaS9UTlnGAxlJVnaqxnIplmUKgWZHrTYGPT8HjiIhIMU5FuP8DaGFmSWZ2BnAb8PYpeBwRESlGhS/LOOeOmtkDwP8DagJ/dM5trOjHKcL30k4VorFUPWEZB2gsVdUpGYs5d8JyuIiIVHN6h6qISAgp3EVEQqjahHtJLQ3M7Ewzmxm9/30zS6z8KkunFGMZbGZ7zSw/+u+eIOosiZn90cw+NbMNxdxvZjYhOs51Zta+smssrVKMpZuZHSzynPyssmssDTNrZmaLzGyzmW00swfjbFMtnpdSjqW6PC+1zWyFma2NjuXncbap2AxzzlX5f0RemN0BNAfOANYCrT3bDAN+F718GzAz6Lp9jGUw8ELQtZZiLF2B9sCGYu7vCfyFyHsfMoH3g67Zx1i6AfOCrrMU47gQaB+9XB/YFufnq1o8L6UcS3V5XgyoF72cALwPZHq2qdAMqy4z99K0NLgRmBK9PBvobgG9zbQEoWnP4JxbAnx2kk1uBF51Ee8BDczswsqprmxKMZZqwTm3xzm3Onr5C2AzkXeNF1UtnpdSjqVaiH6vv4xeTYj+857NUqEZVl3CPV5LA++THNvGOXcUOAg0rJTqyqY0YwHoE/2TebaZNYtzf3VQ2rFWF52if1b/xczaBF1MSaJ/1qcTmSGJ0VcAAAMGSURBVCUWVe2el5OMBarJ82JmNc0sH/gU+JtzrtjnpSIyrLqEe2laGpSq7UEVUJo65wKJzrlUYAH//W1e3VSX56Q0VgMXO+faAc8DcwKu56TMrB7wBjDCOfdv791xdqmyz0sJY6k2z4tz7j/OuTQi79rvaGZtPZtU6PNSXcK9NC0NYtuYWS3gHKrmn9kljsU5t98590306ivAZZVUW0ULTSsK59y/j/1Z7ZybDySYWaOAy4rLzBKIhOE059ybcTapNs9LSWOpTs/LMc65A8Bi4DrPXRWaYdUl3EvT0uBtYFD0cl/gHRd9ZaKKKXEsnvXPHxJZa6yO3gYGRs/OyAQOOuf2BF1UeZjZd46tf5pZRyL/d/YHW9WJojX+AdjsnBtfzGbV4nkpzViq0fPS2MwaRC/XAa4Gtng2q9AMOxVdISucK6algZn9AljpnHubyA/BVDPbTuS33W3BVVy8Uo5luJn9EDhKZCyDAyv4JMxsBpGzFRqZWSHwBJEXinDO/Q6YT+TMjO3AIeBHwVRaslKMpS8w1MyOAl8Dt1XRyUNnYACwPrq+CzAG+C5Uu+elNGOpLs/LhcAUi3yYUQ1glnNu3qnMMLUfEBEJoeqyLCMiImWgcBcRCSGFu4hICCncRURCSOEuIlLJSmpU59n2YjNbGH3H+mIza1qax1C4i4hUvlxOfBNTccYR6QWUCvwC+FVpdlK4i4hUsniN6szsEjP7q5mtMrM8M0uO3tUaWBi9vIhSNhpUuIuIVA2TgP9xzl0GjAQmRm9fC/SJXr4ZqG9mJTYUqxbvUBURCbNoc7Qs4PUiXX7PjH4dCbxgZoOBJcA/ibx7/aQU7iIiwasBHIh2jTyOc+5joDfEfgn0cc4dLM0BRUQkQNFWxjvNrB/EPgqxXfRyIzM7ltWjgT+W5pgKdxGRShZtVLccaGVmhWZ2N9AfuNvM1gIb+e8Lp92ArWa2DbgAeKpUj6HGYSIi4aOZu4hICCncRURCSOEuIhJCCncRkRBSuIuIhJDCXUQkhBTuIiIh9P8Bau8sMK1OFzAAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "bins = np.linspace(0,3e9,40)\n", + "wallid = 164\n", + "print(all_walls_array[wallid])\n", + "\n", + "for i in range(18):\n", + " plt.hist(all_walls_div_array[0,:,i], bins = bins,alpha = 0.6, label = 'no wall')\n", + " plt.hist(all_walls_div_array[wallid,:,i], bins = bins, alpha = 0.6, label = 'unconstrainted optimum')\n", + " plt.hist(all_walls_div_array[166,:,i], bins = bins,alpha = 0.6, label = 'constrainted optimum')\n", + " plt.axvline(threshold, c = 'k', ls = '--')\n", + " plt.title('div ' + str(i))\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.00000000e+00 1.63000000e+02 2.50000000e+00 2.44728282e+09\n", + " 1.99308600e+09]\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#bins = np.linspace(0,2e9,20)\n", + "wallid = 164\n", + "print(all_walls_array[wallid])\n", + "\n", + "for i in range(18):\n", + " plt.hist(all_walls_div_array[0,:,i],alpha = 0.6, label = 'no wall')\n", + " plt.hist(all_walls_div_array[wallid,:,i], alpha = 0.6, label = 'unconstrainted optimum')\n", + " plt.hist(all_walls_div_array[166,:,i],alpha = 0.6, label = 'constrainted optimum')\n", + " plt.axvline(threshold, c = 'k', ls = '--')\n", + " plt.title('div ' + str(i))\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Random stuff\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "all_walls_array = []\n", + "for i in range(num_files):\n", + " all_walls_array.append(np.loadtxt('onewall_exhaustive_sections/'+str(i)+'.txt'))\n", + "all_walls_array = np.array(all_walls_array)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1520, 5)\n" + ] + } + ], + "source": [ + "print(all_walls_array.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(100, 18, 1)\n", + "5895733225.285345\n", + "(100, 18, 1)\n", + "5904318440.809486\n", + "(100, 18, 1)\n", + "5820687127.782191\n", + "(100, 18, 1)\n", + "5861609594.58844\n", + "(100, 18, 1)\n", + "7062776247.716555\n" + ] + } + ], + "source": [ + "min_cost = 1e10\n", + "min_index = 0\n", + "rrange = [20,500,600,1000,1039]\n", + "for i in rrange:\n", + " wall = np.loadtxt('onewall_exhaustive_sections/'+str(i)+'.txt')\n", + " div_array = np.load('onewall_exhaustive_sections/'+str(i)+'.npy')\n", + " print(div_array.shape)\n", + " total_cost = wall[3]\n", + " #add condition\n", + " if total_cost < min_cost:\n", + " min_cost = total_cost\n", + " min_index = i\n", + " print(total_cost)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "all_div_arrays = []\n", + "for i in range(1520):\n", + " all_div_arrays.append(np.load('onewall_exhaustive_sections/'+str(i)+'.npy'))\n", + "all_div_arrays = np.array(all_div_arrays)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1520, 100, 18, 1)\n" + ] + } + ], + "source": [ + "print(all_div_arrays.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "all_walls_div_array = all_div_arrays[:,:,:,0]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1520, 100, 18)\n" + ] + } + ], + "source": [ + "print(all_walls_div_array.shape)\n", + "np.save('all_walls_div_array.npy',all_walls_div_array)\n", + "np.save('all_walls_array.npy',all_walls_array)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1285, 413, 334, 1371, 1078, 1333, 499, 400, 162, 579, 1214, 1141, 793, 565, 356, 666, 1155, 1057, 785, 1360]\n" + ] + } + ], + "source": [ + "files_list = []\n", + "for i in range(20):\n", + " files_list.append(np.random.randint(num_files))\n", + "print(files_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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BJMNfz1yu7fYMJur7XDdq95xxj2OQS9L8XMXDB+qt5HcZfFX3VAZfd/2zcQ9ikEvSnFTVLQyNCE7y9CSf7OaC+cckP360OfD4bvkJrGEkbJ8DgiTp0WgP8JqqujvJTzO48n4+8BYGk329DjiOwYjosRjkkrROukn4fgb463x/VuTN3fMFwFVV9Y4MfmzifUmeXVWrzYIJGOSStJ4eA3yzmxl02Cvp7qdX1WeTPA7YwmAq6JE7lSStg24q7P9I8lL43s+6Pafb/GUGk2iR5FnA4xjMXT6Sc61I0pwk+QCDn5bbAhwA3gx8CriMweRym4APVtVbk5zMYFri4xl88PnGqrpxrOMY5JLUNm+tSFLjDHJJapxBLkmNM8glqXEGuSQ1ziCXpMYZ5JLUOINckhr3/0HVILzKr5c/AAAAAElFTkSuQmCC\n", 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"5999202741.865841\n", + "6023808741.865841\n" + ] + } + ], + "source": [ + "min_cost = 1e10\n", + "min_index = 0\n", + "\n", + "satisfy = []\n", + "B = 5e8\n", + "percent = 95\n", + "\n", + "#rrange = [20,500,600,1000,1039]\n", + "for i in range(num_files):\n", + " wall = np.loadtxt('onewall_exhaustive_sections/'+str(i)+'.txt')\n", + " div_array = np.load('onewall_exhaustive_sections/'+str(i)+'.npy')\n", + "\n", + " if np.sum(np.sum(div_array[:,:,0] < B, axis = 0) > 95) == 18:\n", + " satisfy.append(i)\n", + " \n", + " #print(div_array.shape)\n", + " total_cost = wall[3]\n", + "\n", + " if total_cost < min_cost:\n", + " min_cost = total_cost\n", + " min_index = i\n", + " print(total_cost)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.4472828223283893\n" + ] + } + ], + "source": [ + "print(min_cost/(1e9))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[164, 165, 166, 167, 168, 169]\n" + ] + } + ], + "source": [ + "print(satisfy)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "scosts = []\n", + "for i in satisfy:\n", + " wall = np.loadtxt('onewall_exhaustive_sections/'+str(i)+'.txt')\n", + " scosts.append(wall[3])" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[3.86717235 3.60140574 3.73955587 3.91736454 4.11132239 4.33265087\n", + " 4.55080532 3.84318131 3.58841015 3.74776959 3.94871167 4.16657064\n", + " 4.41223808 4.65492442 3.86814072 3.57491698 3.74406722 3.9634618\n", + " 4.20425046 4.47623075 4.74534134 3.91320655 3.62283796 3.8115773\n", + " 4.05280217 4.31667473 4.61284829 4.90645028 3.85197505 3.58499993\n", + " 3.7992218 4.06441094 4.35246443 4.67403119 4.99182853 3.68925281\n", + " 3.43112998 3.66591769 3.95365489 4.26522503 4.61190938 4.95394704\n", + " 3.22215784 2.94057286 3.17319553 3.46695389 3.8057793 4.17313755\n", + " 4.53895664 2.71983924 2.44728282 2.69866116 3.01511551 3.37880044\n", + " 3.77083628 4.16148231]\n" + ] + } + ], + "source": [ + "print(np.array(scosts)/1e9)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "i = 1000\n", + "div_array = np.load('onewall_exhaustive_sections/'+str(i)+'.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " ...\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([ True, True, True, True, True, True, True, True, True,\n", + " True, True, True, True, True, True, True, True, True])" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = div_array[:,:,0] < 3e9\n", + "print(a)\n", + "np.sum(a, axis = 0) > 90" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# find min subj to constraint and without constraunt\n", + "# save data into 2 npy format files" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/coordloop.png b/coordloop.png new file mode 100644 index 00000000..b67a0a30 Binary files /dev/null and b/coordloop.png differ diff --git a/coordplotting.ipynb b/coordplotting.ipynb new file mode 100644 index 00000000..c9692741 --- /dev/null +++ b/coordplotting.ipynb @@ -0,0 +1,46305 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\pdine\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\scipy\\optimize\\minpack.py:795: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " category=OptimizeWarning)\n" + ] + } + ], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "5229326166.565272\n", + "-------------epoch--------------\n", + "0\n", + "0\n", + "6064879667.898267\n", + "[0. 4.86652769 3.7117598 2.35882232 0.48231103 0.20918962\n", + " 4.6285107 1.26446932]\n", + "[1.13179277 4.86652769 3.7117598 2.35882232 0.48231103 0.20918962\n", + " 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "NUMINITS = 10\n", + "init_list = []\n", + "descending_wall_list = []\n", + "descending_cost_list = []\n", + "x_opt_list = []\n", + "\n", + "plt.figure()\n", + "for init_i in range(NUMINITS):\n", + "\n", + " start_time = time.time()\n", + "\n", + " #for ws in np.linspace(0,163,16):\n", + " #\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + " #\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + " #wall_init = [40.,60.,1.0]\n", + " heights_init = np.random.uniform(low = 0.0, high = 5.0, size = 8)\n", + " #x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + " #print(x_opt) \n", + "\n", + " heights_temp = heights_init.copy()\n", + " heights_min = heights_temp.copy()\n", + " cost_temp = objective2(heights_temp)\n", + " cost_min = cost_temp\n", + " epoch_min_prev = heights_init.copy()\n", + " min_store = []\n", + " heights_store = []\n", + "\n", + "\n", + " hvals = np.linspace(0,5.0,31)\n", + " for epoch in range(10):\n", + " print(\"-------------epoch--------------\\n\"+str(epoch))\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " heights_store.append(heights_min.copy())\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + " print(heights_min)\n", + "\n", + " plt.plot(range(len(min_store)),min_store)\n", + " \n", + "\n", + "\n", + " #if total_cost_new < total_cost:\n", + " #\ttotal_cost = total_cost_new\n", + " #\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + " #\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + " elapsed_time = time.time() - start_time\n", + " print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "plt.savefig('coordloop.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/coordplotting.py b/coordplotting.py new file mode 100644 index 00000000..caf5eb2c --- /dev/null +++ b/coordplotting.py @@ -0,0 +1,221 @@ +#!/usr/bin/env python +# coding: utf-8 + +# In[ ]: + + +import scipy as sp +import scipy.optimize +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys +import matplotlib.pyplot as plt + + +# In[ ]: + + +import scipy as sp +import scipy.optimize +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +#input_name = sys.argv[1] +output_name = sys.argv[1] + +#x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +def objective2(h): + + w0 = np.ones(20)*h[0] + w1 = np.ones(20)*h[1] + w2 = np.ones(20)*h[2] + w3 = np.ones(20)*h[3] + w4 = np.ones(20)*h[4] + w5 = np.ones(20)*h[5] + w6 = np.ones(20)*h[6] + w7 = np.ones(23)*h[7] + + x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7)) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + print(total_cost_new) + return total_cost_new + +def objective3(x_input): + x = np.zeros(163) + ws = int(max(x_input[0],0)) + we = int(min(x_input[1],162)) + wh = x_input[2] + x[ws:we] = np.ones(we-ws)*wh + print(x_input) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + return total_cost_new + +cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]}, + {'type': 'ineq', 'fun': lambda x: x[0]}, + {'type': 'ineq', 'fun': lambda x: 162-x[1]}, + {'type': 'ineq', 'fun': lambda x: x[2]}, + {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}] + + + + +# In[ ]: + + +NUMINITS = 10 +init_list = [] +descending_wall_list = [] +descending_cost_list = [] +x_opt_list = [] + +plt.figure() +for init_i in range(NUMINITS): + + start_time = time.time() + + #for ws in np.linspace(0,163,16): + # for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): + # for wh in np.linspace(0.1,5,10): + + #wall_init = [40.,60.,1.0] + heights_init = np.random.uniform(low = 0.0, high = 5.0, size = 8) + #x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True}) + #print(x_opt) + + heights_temp = heights_init.copy() + heights_min = heights_temp.copy() + cost_temp = objective2(heights_temp) + cost_min = cost_temp + epoch_min_prev = heights_init.copy() + min_store = [] + heights_store = [] + + + hvals = np.linspace(0,5.0,31) + for epoch in range(10): + print("-------------epoch--------------\n"+str(epoch)) + for index in range(8): + heights_temp = heights_min.copy() + for j, h_val in enumerate(hvals): + heights_temp[index] = h_val + cost_temp = objective2(heights_temp) + if cost_temp < cost_min: + cost_min = cost_temp + print("new min") + heights_min[index] = h_val + min_store.append(cost_min) + heights_store.append(heights_min.copy()) + print(heights_temp) + print(heights_min) + if np.array_equal(epoch_min_prev,heights_min): + break + epoch_min_prev = heights_min.copy() + print(heights_min) + + plt.plot(range(len(min_store)),min_store) + + + + #if total_cost_new < total_cost: + # total_cost = total_cost_new + # cost_opt = np.append(cost_opt,total_cost_new) + # x_opt = np.concatenate((x_opt,x)) + + elapsed_time = time.time() - start_time + print("Elapsed Time: ",elapsed_time, "sec") + +plt.savefig('coordloop.png') + diff --git a/find_min.py b/find_min.py new file mode 100644 index 00000000..5004b04a --- /dev/null +++ b/find_min.py @@ -0,0 +1,14 @@ +import numpy as np +d = [] +for i in range(1530): + d.append(np.genfromtxt('n2/'+str(i))) +d = np.array(d) +minv = d[0,3] +mini = 0 +for i in range(1530): + if (d[i,3] < minv): + minv = d[i,3] + mini = i + +print(mini) +print(minv) diff --git a/fragilitycurves.csv b/fragilitycurves.csv index 61a3c952..e291cb4d 100644 --- a/fragilitycurves.csv +++ b/fragilitycurves.csv @@ -1,30 +1,30 @@ -height_ft,height_m,fire,poli,hosp,nurs,schl,eoc,res11,res11b,res12,res12b,res2,res3,res3b,htl,com1,com2,com3,com4,com5,com7,com8,com9,com10,ind1,ind2,ind3,ind4,ind5,ind6,agr,rel,gov,elec,subs --4,-1.2192,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 --3,-0.9144,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.5,2 --2,-0.6096,0,0,0,0,0,0,0,14,0,8,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,4 --1,-0.3048,0,0,0,0,0,0,3,19,0,14,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.5,6 -0,0,0,0,0,0,0,0,13,26,11,19,11,15,12,0,1,0,0,2,0,2,1,0,0,1,1,0,0,0,0,0,0,0,10,7 -1,0.3048,7,7,0,7,5,7,23,32,12,21,44,16,15,3,9,5,9,11,11,11,9,2,3,10,9,13,10,13,22,6,10,5,12.5,8 -2,0.6096,10,10,0,10,7,10,32,39,14,26,63,25,20,5,14,8,12,16,11,12,11,4,5,12,14,14,14,14,31,11,11,8,15,9 -3,0.9144,11,11,20,14,9,11,40,46,18,29,73,28,23,6,16,11,13,22,12,13,12,5,6,15,17,19,18,19,37,15,11,13,17.5,10 -4,1.2192,12,12,25,15,9,12,47,52,20,34,78,29,28,7,18,13,16,28,13,14,14,5,7,19,22,22,22,22,43,19,12,14,20,12 -5,1.524,15,15,30,15,10,15,53,59,22,39,79,31,33,9,20,16,19,35,15,16,16,5,8,22,26,25,26,25,47,25,12,14,25,14 -6,1.8288,17,17,35,16,11,17,59,65,24,44,81,40,37,12,23,19,22,38,17,17,18,6,10,26,30,28,34,28,50,30,13,15,30,15 -7,2.1336,20,20,40,18,13,20,63,70,26,50,82,43,43,14,26,22,25,41,19,18,20,8,13,30,32,30,41,30,54,35,14,17,, -8,2.4384,23,23,43,20,15,23,67,74,30,55,83,43,48,18,30,25,28,44,22,20,22,10,17,35,35,33,42,33,57,41,14,19,, -9,2.7432,27,27,47,23,17,27,71,78,34,57,84,45,51,21,34,29,32,47,24,22,26,12,21,39,37,34,42,34,61,46,15,22,, -10,3.048,31,31,50,26,20,31,73,80,38,59,85,46,53,26,38,32,35,50,28,24,29,15,25,42,39,36,45,36,63,51,17,26,, -11,3.3528,35,35,53,30,24,35,75,81,39,61,86,47,55,31,42,37,39,54,31,27,33,20,30,48,43,39,47,39,64,57,19,31,, -12,3.6576,40,40,55,34,28,40,77,81,40,63,88,47,57,36,47,41,43,57,34,30,37,24,35,50,46,40,49,40,65,63,24,37,, -13,3.9624,44,44,57,38,33,44,79,81,42,65,89,49,59,41,51,45,47,59,37,34,41,29,41,51,48,42,50,42,67,70,30,44,, -14,4.2672,48,48,60,42,39,48,80,81,43,66,90,50,60,46,55,49,50,62,40,37,45,35,47,53,50,42,50,42,68,75,38,51,, -15,4.572,52,52,60,47,45,52,81,81,44,68,91,51,61,50,58,52,54,66,44,41,50,42,52,54,51,43,50,43,69,79,45,59,, -16,4.8768,56,56,60,52,52,56,81,81,45,69,92,52,62,54,61,55,57,68,48,44,53,49,58,55,54,43,50,43,70,82,52,65,, -17,5.1816,60,60,60,57,59,60,82,81,47,71,94,53,63,58,64,58,61,70,51,48,57,56,65,55,55,44,50,44,71,84,58,70,, -18,5.4864,64,64,60,62,64,64,82,81,48,72,95,54,64,62,67,61,64,72,55,51,60,62,71,56,57,44,50,44,72,87,64,74,, -19,5.7912,68,68,60,67,69,68,83,81,49,74,96,55,65,66,69,63,68,74,59,54,63,68,76,56,59,44,50,44,73,89,69,79,, -20,6.096,72,72,60,72,74,72,83,81,50,75,97,56,66,70,71,66,71,76,63,56,66,74,81,57,60,44,50,44,74,90,74,83,, -21,6.4008,76,76,60,77,79,76,83,81,52,77,98,57,67,74,74,68,75,77,67,59,69,80,86,57,62,44,50,44,75,92,78,87,, -22,6.7056,80,80,60,82,84,80,84,81,53,79,99,58,68,78,76,70,78,78,71,61,73,86,91,57,63,45,50,45,76,93,82,91,, -23,7.0104,84,84,60,87,89,84,84,81,54,80,100,59,69,82,78,71,82,79,75,64,76,92,96,58,65,45,50,45,76,95,85,95,, -24,7.3152,88,88,60,92,94,88,84,81,56,82,100,60,70,86,80,73,85,80,79,66,78,98,100,58,66,45,50,45,77,96,88,98,, +height_ft,height_m,fire,poli,hosp,nurs,schl,eoc,res11,res11b,res12,res12b,res2,res3,res3b,htl,com1,com2,com3,com4,com5,com7,com8,com9,com10,ind1,ind2,ind3,ind4,ind5,ind6,agr,rel,gov,elec,subs +-4,-1.2192,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +-3,-0.9144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.5,2 +-2,-0.6096,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,4 +-1,-0.3048,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.5,6 +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,7 +1,0.3048,7,7,0,7,5,7,23,32,12,21,44,16,15,3,9,5,9,11,11,11,9,2,3,10,9,13,10,13,22,6,10,5,12.5,8 +2,0.6096,10,10,0,10,7,10,32,39,14,26,63,25,20,5,14,8,12,16,11,12,11,4,5,12,14,14,14,14,31,11,11,8,15,9 +3,0.9144,11,11,20,14,9,11,40,46,18,29,73,28,23,6,16,11,13,22,12,13,12,5,6,15,17,19,18,19,37,15,11,13,17.5,10 +4,1.2192,12,12,25,15,9,12,47,52,20,34,78,29,28,7,18,13,16,28,13,14,14,5,7,19,22,22,22,22,43,19,12,14,20,12 +5,1.524,15,15,30,15,10,15,53,59,22,39,79,31,33,9,20,16,19,35,15,16,16,5,8,22,26,25,26,25,47,25,12,14,25,14 +6,1.8288,17,17,35,16,11,17,59,65,24,44,81,40,37,12,23,19,22,38,17,17,18,6,10,26,30,28,34,28,50,30,13,15,30,15 +7,2.1336,20,20,40,18,13,20,63,70,26,50,82,43,43,14,26,22,25,41,19,18,20,8,13,30,32,30,41,30,54,35,14,17,, +8,2.4384,23,23,43,20,15,23,67,74,30,55,83,43,48,18,30,25,28,44,22,20,22,10,17,35,35,33,42,33,57,41,14,19,, +9,2.7432,27,27,47,23,17,27,71,78,34,57,84,45,51,21,34,29,32,47,24,22,26,12,21,39,37,34,42,34,61,46,15,22,, +10,3.048,31,31,50,26,20,31,73,80,38,59,85,46,53,26,38,32,35,50,28,24,29,15,25,42,39,36,45,36,63,51,17,26,, +11,3.3528,35,35,53,30,24,35,75,81,39,61,86,47,55,31,42,37,39,54,31,27,33,20,30,48,43,39,47,39,64,57,19,31,, +12,3.6576,40,40,55,34,28,40,77,81,40,63,88,47,57,36,47,41,43,57,34,30,37,24,35,50,46,40,49,40,65,63,24,37,, +13,3.9624,44,44,57,38,33,44,79,81,42,65,89,49,59,41,51,45,47,59,37,34,41,29,41,51,48,42,50,42,67,70,30,44,, +14,4.2672,48,48,60,42,39,48,80,81,43,66,90,50,60,46,55,49,50,62,40,37,45,35,47,53,50,42,50,42,68,75,38,51,, +15,4.572,52,52,60,47,45,52,81,81,44,68,91,51,61,50,58,52,54,66,44,41,50,42,52,54,51,43,50,43,69,79,45,59,, +16,4.8768,56,56,60,52,52,56,81,81,45,69,92,52,62,54,61,55,57,68,48,44,53,49,58,55,54,43,50,43,70,82,52,65,, +17,5.1816,60,60,60,57,59,60,82,81,47,71,94,53,63,58,64,58,61,70,51,48,57,56,65,55,55,44,50,44,71,84,58,70,, +18,5.4864,64,64,60,62,64,64,82,81,48,72,95,54,64,62,67,61,64,72,55,51,60,62,71,56,57,44,50,44,72,87,64,74,, +19,5.7912,68,68,60,67,69,68,83,81,49,74,96,55,65,66,69,63,68,74,59,54,63,68,76,56,59,44,50,44,73,89,69,79,, +20,6.096,72,72,60,72,74,72,83,81,50,75,97,56,66,70,71,66,71,76,63,56,66,74,81,57,60,44,50,44,74,90,74,83,, +21,6.4008,76,76,60,77,79,76,83,81,52,77,98,57,67,74,74,68,75,77,67,59,69,80,86,57,62,44,50,44,75,92,78,87,, +22,6.7056,80,80,60,82,84,80,84,81,53,79,99,58,68,78,76,70,78,78,71,61,73,86,91,57,63,45,50,45,76,93,82,91,, +23,7.0104,84,84,60,87,89,84,84,81,54,80,100,59,69,82,78,71,82,79,75,64,76,92,96,58,65,45,50,45,76,95,85,95,, +24,7.3152,88,88,60,92,94,88,84,81,56,82,100,60,70,86,80,73,85,80,79,66,78,98,100,58,66,45,50,45,77,96,88,98,, diff --git a/fun_damagecost.py b/fun_damagecost.py index 9f7cadf1..95895169 100644 --- a/fun_damagecost.py +++ b/fun_damagecost.py @@ -364,6 +364,14 @@ def dmg_cost_vector(fld_h,flh,ftm,fid,crtcl_elv,bldgasst,bsmt,comarea,fldpln,num ########################################### + ### newly added on Nov 9, 2021 for getting total damage in each division + + cost_dmg_inc_inc = np.column_stack((np.sum(cost_dmg,axis=0),np.sum(cost_inc,axis=0),np.sum(cost_inv,axis=0))) # matrix of costs for each building + cost_direct = np.sum(cost_dmg_inc_inc,axis=1) # sum of direct damage for each building + df_cost_direct_div = pd.DataFrame({'dirct_cost':cost_direct,'DIV':div}) + df_cost_direct_sum_div = df_cost_direct_div.groupby(by=["DIV"]).sum() + + ##below is the code to find the percentage of damage to each sector dmg_elec = np.mean(dmgp[:,elec], axis=1) dmg_com10 = np.mean(dmgp[:,com10], axis=1) @@ -485,4 +493,4 @@ def dmg_cost_vector(fld_h,flh,ftm,fid,crtcl_elv,bldgasst,bsmt,comarea,fldpln,num int_cost_util = np.sum(int_cost_util,axis=1) int_cost_tran = np.sum(int_cost_tran,axis=1) - return damage_loss,int_inop_util,int_inop_tran,int_cost_util,int_cost_tran + return damage_loss,int_inop_util,int_inop_tran,int_cost_util,int_cost_tran, df_cost_direct_sum_div diff --git a/fun_floodestimate.py b/fun_floodestimate.py index bc60ebbf..5eedd592 100644 --- a/fun_floodestimate.py +++ b/fun_floodestimate.py @@ -1,280 +1,284 @@ -# import arcpy as ap -# from arcpy import env -# from arcpy.sa import * -import scipy as sp -import numpy as np -import pandas as pd -import time -import csv -import os -import sys -import random -from random import seed -import glob -from scipy import stats -from scipy.stats import genpareto -from scipy.stats import lognorm -import multiprocessing as mp -from multiprocessing import Pool -import itertools -import datetime -from scipy.interpolate import interp1d -import matplotlib.pyplot as plt -import sympy -from sympy.solvers import solve -from sympy import Symbol -now = datetime.datetime.now() - -## Functions - -# curve fitting -from scipy.optimize import curve_fit -def func_fit(surfaceV,a,b): - return a*np.sqrt(surfaceV)+b*surfaceV - - -def SurfaceVolFunc(surfaceV,H): - a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 - e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 - i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 - m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 - q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 - - popt1, pcov1 = curve_fit(func_fit, surfaceV[a1:a2], H[a1:a2]) - popt2, pcov2 = curve_fit(func_fit, surfaceV[b1:b2], H[b1:b2]) - popt3, pcov3 = curve_fit(func_fit, surfaceV[c1:c2], H[c1:c2]) - popt4, pcov4 = curve_fit(func_fit, surfaceV[d1:d2], H[d1:d2]) - popt5, pcov5 = curve_fit(func_fit, surfaceV[e1:e2], H[e1:e2]) - popt6, pcov6 = curve_fit(func_fit, surfaceV[f1:f2], H[f1:f2]) - popt7, pcov7 = curve_fit(func_fit, surfaceV[g1:g2], H[g1:g2]) - popt8, pcov8 = curve_fit(func_fit, surfaceV[h1:h2], H[h1:h2]) - popt9, pcov9 = curve_fit(func_fit, surfaceV[i1:i2], H[i1:i2]) - popt10, pcov10 = curve_fit(func_fit, surfaceV[j1:j2], H[j1:j2]) - popt11, pcov11 = curve_fit(func_fit, surfaceV[k1:k2], H[k1:k2]) - popt12, pcov12 = curve_fit(func_fit, surfaceV[l1:l2], H[l1:l2]) - popt13, pcov13 = curve_fit(func_fit, surfaceV[m1:m2], H[m1:m2]) - popt14, pcov14 = curve_fit(func_fit, surfaceV[n1:n2], H[n1:n2]) - popt15, pcov15 = curve_fit(func_fit, surfaceV[o1:o2], H[o1:o2]) - popt16, pcov16 = curve_fit(func_fit, surfaceV[p1:p2], H[p1:p2]) - popt17, pcov17 = curve_fit(func_fit, surfaceV[q1:q2], H[q1:q2]) - popt18, pcov18 = curve_fit(func_fit, surfaceV[r1:r2], H[r1:r2]) - popt19, pcov19 = curve_fit(func_fit, surfaceV[s1:s2], H[s1:s2]) - popt20, pcov20 = curve_fit(func_fit, surfaceV[t1:t2], H[t1:t2]) - - - return popt1,popt2,popt3,popt4,popt5,popt6,popt7,popt8,popt9,popt10,popt11,popt12,popt13,popt14,popt15,popt16,popt17,popt18,popt19,popt20 - -def FloodHeight(surfaceV,slope,roughness,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,time1_w,time2_w,cpi1_w,cpi2_w,nt,elev,fid,l,ssh,i): - sec1_w = time1_w * 60**2; sec2_w = time2_w * 60**2 - h1_w = cpi1_w; h2_w = cpi2_w - V_new = np.zeros(np.shape(h1_w)[0]); v_new = np.zeros((np.shape(h1_w)[0],nt*2)) - - a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 - e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 - i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 - m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 - q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 - - for k in fid: - ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() - ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() - ds = np.concatenate((ds1,ds2),axis=1) - - h1_new = h1_w - elev[k] - h2_new = h2_w - elev[k] - h_new = np.concatenate((h1_new,h2_new),axis=1) - v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness - v_new[h_new <= 0] = 0 - - V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) - - fld_h = np.zeros(np.shape(V_new)) - fld_h [V_new == 0]= 0 - fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) - fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) - fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) - fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) - fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) - fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) - fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) - fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) - fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) - fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) - fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) - fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) - fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) - fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) - fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) - fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) - fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) - fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) - fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) - fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) - fld_h [fld_h < 0]= 0 - - return fld_h,V_new - -def FloodHeightWall(surfaceV,ParWall,slope,roughness,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,time1_w,time2_w,cpi1_w,cpi2_w,nt,elev,fid,l,ssh,i): - sec1_w = time1_w * 60**2; sec2_w = time2_w * 60**2 - h1_w = cpi1_w; h2_w = cpi2_w - V_new = np.zeros(np.shape(h1_w)[0]); v_new = np.zeros((np.shape(h1_w)[0],nt*2)) - - a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 - e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 - i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 - m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 - q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 - - for k in fid: - if k in ParWall: - ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() - ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() - ds = np.concatenate((ds1,ds2),axis=1) - - h1_new = h1_w - elev[k] - h2_new = h2_w - elev[k] - h_new = np.concatenate((h1_new,h2_new),axis=1) - cwr = 0.611 + 0.075*h_new[h_new > 0]/elev[k] - v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness * cwr - v_new[h_new <= 0] = 0 - V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) - - else: - ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() - ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() - ds = np.concatenate((ds1,ds2),axis=1) - - h1_new = h1_w - elev[k] - h2_new = h2_w - elev[k] - h_new = np.concatenate((h1_new,h2_new),axis=1) - v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness - v_new[h_new <= 0] = 0 - - V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) - - fld_h = np.zeros(np.shape(V_new)) - fld_h [V_new == 0]= 0 - fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) - fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) - fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) - fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) - fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) - fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) - fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) - fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) - fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) - fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) - fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) - fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) - fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) - fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) - fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) - fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) - fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) - fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) - fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) - fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) - fld_h [fld_h < 0]= 0 - - return fld_h,V_new - - -def FloodTravel(surfaceV,ssh,V_new,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20): - a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 - e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 - i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 - m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 - q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 - - fld_h = np.zeros(np.shape(V_new)) - fld_h [V_new == 0]= 0 - fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) - fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) - fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) - fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) - fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) - fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) - fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) - fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) - fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) - fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) - fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) - fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) - fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) - fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) - fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) - fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) - fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) - fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) - fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) - fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) - fld_h [fld_h < 0]= 0 - fld_h [fld_h > ssh]= ssh[fld_h > ssh] - - return fld_h - -def FloodTravelSectGroup(surfaceV,ndiv18,ssh,sect0,sect1,sect2,sect3,sect_3,sect_2,sect_1,V, - SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20): - - V_sect = np.zeros((np.shape(V)[0],ndiv18)) - fld_h_sect = np.zeros((np.shape(V)[0],ndiv18)) - V_sect_avr = np.zeros((np.shape(V)[0],ndiv18)) - - # ID3~14 - for i in range(12): - m = int(sect3[i][3]) - for s in sect3[i]: - s = int(s) - V_sect[:,m] = V_sect[:,m] + V[:,s] - V_sect_avr[:,m] = V_sect[:,m]/7 - - #ID0 - i = 10; - for s in sect0: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/4 - - #ID1 - i = 11; - for s in sect1: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/5 - - #ID2 - i = 5; - for s in sect2: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/6 - - #ID15 - i = 7; - for s in sect_3: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/6 - - #ID16 - i = 2; - for s in sect_2: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/5 - - #ID17 - i = 6; - for s in sect_1: - s = int(s) - V_sect[:,i] = V_sect[:,i] + V[:,s] - V_sect_avr[:,i] = V_sect[:,i]/4 - - for i in range(ndiv18): - # redistribute the water - fld_h_sect[:,i] = FloodTravel(surfaceV[i],ssh,V_sect[:,i],SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:]) - - fld_h_sect[fld_h_sect<0] = 0 - - return fld_h_sect,V_sect_avr - +# import arcpy as ap +# from arcpy import env +# from arcpy.sa import * +import scipy as sp +import numpy as np +import pandas as pd +import time +import csv +import os +import sys +import random +from random import seed +import glob +from scipy import stats +from scipy.stats import genpareto +from scipy.stats import lognorm +import multiprocessing as mp +from multiprocessing import Pool +import itertools +import datetime +from scipy.interpolate import interp1d +import matplotlib.pyplot as plt +import sympy +from sympy.solvers import solve +from sympy import Symbol +now = datetime.datetime.now() + +## Functions + +# curve fitting +from scipy.optimize import curve_fit +def func_fit(surfaceV,a,b): + return a*np.sqrt(surfaceV)+b*surfaceV + + +def SurfaceVolFunc(surfaceV,H): + a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 + e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 + i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 + m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 + q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 + + popt1, pcov1 = curve_fit(func_fit, surfaceV[a1:a2], H[a1:a2]) + popt2, pcov2 = curve_fit(func_fit, surfaceV[b1:b2], H[b1:b2]) + popt3, pcov3 = curve_fit(func_fit, surfaceV[c1:c2], H[c1:c2]) + popt4, pcov4 = curve_fit(func_fit, surfaceV[d1:d2], H[d1:d2]) + popt5, pcov5 = curve_fit(func_fit, surfaceV[e1:e2], H[e1:e2]) + popt6, pcov6 = curve_fit(func_fit, surfaceV[f1:f2], H[f1:f2]) + popt7, pcov7 = curve_fit(func_fit, surfaceV[g1:g2], H[g1:g2]) + popt8, pcov8 = curve_fit(func_fit, surfaceV[h1:h2], H[h1:h2]) + popt9, pcov9 = curve_fit(func_fit, surfaceV[i1:i2], H[i1:i2]) + popt10, pcov10 = curve_fit(func_fit, surfaceV[j1:j2], H[j1:j2]) + popt11, pcov11 = curve_fit(func_fit, surfaceV[k1:k2], H[k1:k2]) + popt12, pcov12 = curve_fit(func_fit, surfaceV[l1:l2], H[l1:l2]) + popt13, pcov13 = curve_fit(func_fit, surfaceV[m1:m2], H[m1:m2]) + popt14, pcov14 = curve_fit(func_fit, surfaceV[n1:n2], H[n1:n2]) + popt15, pcov15 = curve_fit(func_fit, surfaceV[o1:o2], H[o1:o2]) + popt16, pcov16 = curve_fit(func_fit, surfaceV[p1:p2], H[p1:p2]) + popt17, pcov17 = curve_fit(func_fit, surfaceV[q1:q2], H[q1:q2]) + popt18, pcov18 = curve_fit(func_fit, surfaceV[r1:r2], H[r1:r2]) + popt19, pcov19 = curve_fit(func_fit, surfaceV[s1:s2], H[s1:s2]) + popt20, pcov20 = curve_fit(func_fit, surfaceV[t1:t2], H[t1:t2]) + + + return popt1,popt2,popt3,popt4,popt5,popt6,popt7,popt8,popt9,popt10,popt11,popt12,popt13,popt14,popt15,popt16,popt17,popt18,popt19,popt20 + +def FloodHeight(surfaceV,slope,roughness,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,time1_w,time2_w,cpi1_w,cpi2_w,nt,elev,fid,l,ssh,i): + sec1_w = time1_w * 60**2; sec2_w = time2_w * 60**2 + h1_w = cpi1_w; h2_w = cpi2_w + V_new = np.zeros(np.shape(h1_w)[0]); v_new = np.zeros((np.shape(h1_w)[0],nt*2)) + + a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 + e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 + i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 + m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 + q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 + + for k in fid: + ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() + ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() + ds = np.concatenate((ds1,ds2),axis=1) + + h1_new = h1_w - elev[k] + h2_new = h2_w - elev[k] + h_new = np.concatenate((h1_new,h2_new),axis=1) + v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness + v_new[h_new <= 0] = 0 + + V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) + + fld_h = np.zeros(np.shape(V_new)) + fld_h [V_new == 0]= 0 + fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) + fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) + fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) + fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) + fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) + fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) + fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) + fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) + fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) + fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) + fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) + fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) + fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) + fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) + fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) + fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) + fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) + fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) + fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) + fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) + fld_h [fld_h < 0]= 0 + + return fld_h,V_new + +def FloodHeightWall(surfaceV,ParWall,slope,roughness,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,time1_w,time2_w,cpi1_w,cpi2_w,nt,elev,fid,l,ssh,i): + sec1_w = time1_w * 60**2; sec2_w = time2_w * 60**2 + h1_w = cpi1_w; h2_w = cpi2_w + V_new = np.zeros(np.shape(h1_w)[0]); v_new = np.zeros((np.shape(h1_w)[0],nt*2)) + + a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 + e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 + i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 + m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 + q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 + + #print("elev\n") + #print(elev) + + for k in fid: + if k in ParWall: + ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() + ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() + ds = np.concatenate((ds1,ds2),axis=1) + + h1_new = h1_w - elev[k] + h2_new = h2_w - elev[k] + h_new = np.concatenate((h1_new,h2_new),axis=1) + cwr = 0.611 + 0.075*h_new[h_new > 0]/elev[k] + v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness * cwr + v_new[h_new <= 0] = 0 + V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) + + else: + #print(k) + ds1 = np.tile(sec1_w[:,1] - sec1_w[:,0],(nt,1)).transpose() + ds2 = np.tile(sec2_w[:,1] - sec2_w[:,0],(nt,1)).transpose() + ds = np.concatenate((ds1,ds2),axis=1) + + h1_new = h1_w - elev[k] + h2_new = h2_w - elev[k] + h_new = np.concatenate((h1_new,h2_new),axis=1) + v_new[h_new > 0] = ((l * h_new[h_new > 0]) / (l + (2*h_new[h_new > 0])))**(2./3.)*slope**.5 / roughness + v_new[h_new <= 0] = 0 + + V_new = V_new + np.sum(h_new*l*v_new*ds,axis=1) + + fld_h = np.zeros(np.shape(V_new)) + fld_h [V_new == 0]= 0 + fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) + fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) + fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) + fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) + fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) + fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) + fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) + fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) + fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) + fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) + fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) + fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) + fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) + fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) + fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) + fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) + fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) + fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) + fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) + fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) + fld_h [fld_h < 0]= 0 + + return fld_h,V_new + + +def FloodTravel(surfaceV,ssh,V_new,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20): + a1 = 0; a2 = 2; b1 = 1; b2 = 3; c1 = 2; c2 = 4; d1 = 3; d2 = 5 + e1 = 4; e2 = 6; f1 = 5; f2 = 7; g1 = 6; g2 = 8; h1 = 7; h2 = 9 + i1 = 8; i2 = 10; j1 = 9; j2 = 11; k1 = 10; k2 = 12; l1 = 11; l2 = 13 + m1 = 12; m2 = 14; n1 = 13; n2 = 15; o1 = 14; o2 = 16; p1 = 15; p2 = 17 + q1 = 16; q2 = 18; r1 = 17; r2 = 19; s1 = 18; s2 = 20; t1 = 19; t2 = 21 + + fld_h = np.zeros(np.shape(V_new)) + fld_h [V_new == 0]= 0 + fld_h [(V_new <= surfaceV[a2]) & (V_new > 0)] = func_fit(V_new[(V_new <= surfaceV[a2]) & (V_new > 0)],*SVf1) + fld_h [(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])] = func_fit(V_new[(V_new <= surfaceV[b2]) & (V_new > surfaceV[a2])],*SVf2) + fld_h [(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])] = func_fit(V_new[(V_new <= surfaceV[c2]) & (V_new > surfaceV[b2])],*SVf3) + fld_h [(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])] = func_fit(V_new[(V_new <= surfaceV[d2]) & (V_new > surfaceV[c2])],*SVf4) + fld_h [(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])] = func_fit(V_new[(V_new <= surfaceV[e2]) & (V_new > surfaceV[d2])],*SVf5) + fld_h [(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])] = func_fit(V_new[(V_new <= surfaceV[f2]) & (V_new > surfaceV[e2])],*SVf6) + fld_h [(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[g2]) & (V_new > surfaceV[f2])],*SVf7) + fld_h [(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])] = func_fit(V_new[(V_new <= surfaceV[h2]) & (V_new > surfaceV[f2])],*SVf8) + fld_h [(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])] = func_fit(V_new[(V_new <= surfaceV[i2]) & (V_new > surfaceV[h2])],*SVf9) + fld_h [(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])] = func_fit(V_new[(V_new <= surfaceV[j2]) & (V_new > surfaceV[i2])],*SVf10) + fld_h [(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])] = func_fit(V_new[(V_new <= surfaceV[k2]) & (V_new > surfaceV[j2])],*SVf11) + fld_h [(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])] = func_fit(V_new[(V_new <= surfaceV[l2]) & (V_new > surfaceV[k2])],*SVf12) + fld_h [(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])] = func_fit(V_new[(V_new <= surfaceV[m2]) & (V_new > surfaceV[l2])],*SVf13) + fld_h [(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])] = func_fit(V_new[(V_new <= surfaceV[n2]) & (V_new > surfaceV[m2])],*SVf14) + fld_h [(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])] = func_fit(V_new[(V_new <= surfaceV[o2]) & (V_new > surfaceV[n2])],*SVf15) + fld_h [(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])] = func_fit(V_new[(V_new <= surfaceV[p2]) & (V_new > surfaceV[o2])],*SVf16) + fld_h [(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])] = func_fit(V_new[(V_new <= surfaceV[q2]) & (V_new > surfaceV[p2])],*SVf17) + fld_h [(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])] = func_fit(V_new[(V_new <= surfaceV[r2]) & (V_new > surfaceV[q2])],*SVf18) + fld_h [(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])] = func_fit(V_new[(V_new <= surfaceV[s2]) & (V_new > surfaceV[r2])],*SVf19) + fld_h [V_new >= surfaceV[s2]] = func_fit(V_new[V_new > surfaceV[s2]],*SVf20) + fld_h [fld_h < 0]= 0 + fld_h [fld_h > ssh]= ssh[fld_h > ssh] + + return fld_h + +def FloodTravelSectGroup(surfaceV,ndiv18,ssh,sect0,sect1,sect2,sect3,sect_3,sect_2,sect_1,V, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20): + + V_sect = np.zeros((np.shape(V)[0],ndiv18)) + fld_h_sect = np.zeros((np.shape(V)[0],ndiv18)) + V_sect_avr = np.zeros((np.shape(V)[0],ndiv18)) + + # ID3~14 + for i in range(12): + m = int(sect3[i][3]) + for s in sect3[i]: + s = int(s) + V_sect[:,m] = V_sect[:,m] + V[:,s] + V_sect_avr[:,m] = V_sect[:,m]/7 + + #ID0 + i = 10; + for s in sect0: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/4 + + #ID1 + i = 11; + for s in sect1: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/5 + + #ID2 + i = 5; + for s in sect2: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/6 + + #ID15 + i = 7; + for s in sect_3: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/6 + + #ID16 + i = 2; + for s in sect_2: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/5 + + #ID17 + i = 6; + for s in sect_1: + s = int(s) + V_sect[:,i] = V_sect[:,i] + V[:,s] + V_sect_avr[:,i] = V_sect[:,i]/4 + + for i in range(ndiv18): + # redistribute the water + fld_h_sect[:,i] = FloodTravel(surfaceV[i],ssh,V_sect[:,i],SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:]) + + fld_h_sect[fld_h_sect<0] = 0 + + return fld_h_sect,V_sect_avr + diff --git a/fun_objective_loop.py b/fun_objective_loop.py index 6265dffd..0a164527 100644 --- a/fun_objective_loop.py +++ b/fun_objective_loop.py @@ -13,21 +13,36 @@ import datetime ## import functions -from fun_floodestimate import FloodHeight -from fun_floodestimate import FloodHeightWall -from fun_floodestimate import FloodTravelSectGroup -from fun_floodestimate import SurfaceVolFunc -from fun_damagecost import damage -from fun_SubwayFlood_noPrtc_opt import storm_econ_loss +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage +def constraint1(x): + # wall_id = x[0] + wall_id = pd.read_csv("C:\\Users\\Yuki\\Documents\\Research\\ArcGIS\\GeoData\\Segments\\BigU\\BigU_LES_all.csv")["ID"] -def objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, - SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, - SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3): - - ftm = 0.3048 - nt = 10 + wall_h = x[0] + wall_year = x[1] + wall_start = x[2] + wall_end = x[3] + + # wall_cost = (22195*wall_h-16553)*wall_id.size*100/((1+0.05)**(wall_year-2020)) + wall_cost = (22195*wall_h-16553)*(wall_end-wall_start)*100/((1+0.05)**(wall_year-2020)) + return 1e9 - wall_cost +def constraint2(x): + return 72.4*10**9 - objective(x) + +def constraint3(x): + wall_start = x[2] + wall_end = x[3] + return 163 - (wall_end - wall_start) + +def objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1): # wall info # wall_id = pd.read_csv("C:\\Users\\Yuki\\Documents\\Research\\ArcGIS\\GeoData\\Segments\\BigU\\BigU_LES_all.csv")["ID"] wall_h = x[0] @@ -37,9 +52,10 @@ def objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,S wall_num = np.arange(int(wall_start),int(wall_end-wall_start)) # need to refer position and fid: fid[position == wall_id] # wall_cost = (22195*wall_h-16553)*wall_id.size*100/((1+0.05)**(wall_year-2020)) - # wall_cost = (22195*wall_h-16553)*(wall_end-wall_start)*100/((1+0.05)**(wall_year-2020)) - wall_cost = 109360*wall_h*(wall_end-wall_start)*100 + wall_cost = (22195*wall_h-16553)*(wall_end-wall_start)*100/((1+0.05)**(wall_year-2020)) + ftm = 0.3048 + nt = 10 # num_N = 1000 # Topography Data @@ -53,72 +69,7 @@ def objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,S #sandy_surge = pd.read_csv("C:\\Users\\Yuki\\Documents\\Research\\Flood Volume\\20121029_CO-OPS_8518750_wl.csv") #surge_height = sandy_surge["Surge"] - wall_id = fid[(position>=wall_start) & (position<=wall_end)] - - ###################### Subway Setup ###################### - - ## Import Subway Data - SubwayOpenings = pd.read_csv(r"SubwayData\AllOpenings_LMN_fill.csv") - - Vulnerabil = SubwayOpenings["Vulnerabil"]; Mitigation = SubwayOpenings["Mitigation"] - Mitigati_1 = SubwayOpenings["Mitigati_1"]; CrtclElev = SubwayOpenings["Crtcl_Elev"] - SubwayLineName = SubwayOpenings["LINE"]; fid_open = SubwayOpenings["OBJECTID"] - division = SubwayOpenings["Div"] - assigned_line = SubwayOpenings['Line_FID'] - - OpenArea = np.zeros(fid_open.size) - OpenArea[Vulnerabil == 'Door'] = 7.33*3.33*ftm**2; OpenArea[Vulnerabil == 'Elevator'] = 9.08*8.5*ftm**2 - OpenArea[Vulnerabil == 'Emergency Exit'] = 7.33*3.33*ftm**2; OpenArea[Vulnerabil == 'Escalator'] = 9.08*8.5*ftm**2 - OpenArea[Vulnerabil == 'Hatch'] = 7.33*3.33*ftm**2; OpenArea[Vulnerabil == 'Louver'] = 9.08*8.5*ftm**2 - OpenArea[Vulnerabil == 'Door'] = 7.33*3.33*ftm**2; OpenArea[Vulnerabil == 'Manhole'] = 9.08*8.5*ftm**2 - OpenArea[Vulnerabil == 'Stairway'] = 7.33*3.33*ftm**2; OpenArea[Vulnerabil == 'Vault'] = 9.08*8.5*ftm**2 - OpenArea[Vulnerabil == 'Vent Battery'] = 9.08*8.5*ftm**2; OpenArea[Mitigation == 'Deployable cover'] = OpenArea[Mitigation == 'Deployable cover']*0.8 - - LeakRate = np.zeros(fid_open.size) - c = 0.134/ftm/60 # leakage rate (gallon/min/meter) - LeakRate[Mitigation == 'Deployable cover'] = c; LeakRate[Mitigation == 'Flex-gate'] = c - LeakRate[Mitigation == 'MCD'] = 0.3*c; LeakRate[Mitigation == 'Removable flood panel'] = 0.1*c - LeakRate[Mitigation == 'Stop logs'] = 0.1*c; LeakRate[Mitigation == 'Watertight cover'] = 0.1*c - LeakRate[Mitigation == 'Watertight hatch'] = 0.1*c; LeakRate[Mitigation == 'Watertight/Marine door'] = 0.1*c - - # import subwayline data - SubwayLine = pd.read_csv(r"SubwayData\SubwayLineConnect.csv") - SubwayStop = pd.read_csv(r"SubwayData\SubwayStationLMN+Open.csv") - - fid_line = SubwayLine["FID"] - fid_stop = SubwayStop["objectid"] - exploc_stop = SubwayStop["ExpLoc"] - length_line = SubwayLine["length_m"] - elev_line = SubwayLine["MEAN"] - SubwayLine["STD"] - elev_stop = SubwayStop["MEAN"] - exploc_line = SubwayLine["ExpLoc"] - tunelev_line = elev_line - 20*ftm - tunelev_stop = elev_stop - 20*ftm - div_line = SubwayLine["Div"] - div_stop = SubwayStop["Div"] - name_line = SubwayLine["name_text"] - name_stop = SubwayStop["line_text"] - StopOpening = SubwayStop["Open300m"] # openings within 300 m - - secarea_1trk = 15*30*ftm**2; secarea_2trk = 15*30*ftm**2*2 - - north_id = SubwayLine["North_FID"] - south_id1 = SubwayLine["South_FID"]; south_id2 = SubwayLine["South_FID2"]; south_id3 = SubwayLine["South_FID3"] - north_id_stop = SubwayLine["North_Stop"]; south_id_stop = SubwayLine["South_Stop"] - - line_intersection = pd.read_csv(r"SubwayData\subwaystopscode.csv") - elev_code = line_intersection["Elevation Code"].values - station_complex = line_intersection["Station Complex"] - div_subwaycode = line_intersection["Div"] - - ###################### Setup Surge Property ############## - - loc = 0.68; ftm = 0.3048; nt = 10; g = 9.81 - xi_c = 0.08; delta_c = 0.14; lambda_c = 4.11 - xi_w = 0.45; delta_w = 0.13; lambda_w = 1.52 - beta1_1_c = 27.84; beta1_2_c = -18.58; beta2_1_c = 10.46; beta2_2_c = -6.98 - beta1_1_w = 19.23; beta1_2_w = -11.90; beta2_1_w = 4.96; beta2_2_w = -1.89 - alpha_c = 3; beta_c = 3.1; alpha_w = 2.56; beta_w = 2.07 + wall_id = fid[(position>wall_start) & (position0)[0] + #wall_id = fid[(position>wall_start) & (position0)[0] + #wall_id = fid[(position>wall_start) & (positionwall_start) & (position + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=2) + File "/rigel/apam/users/pcd2120/GISoptimization/Optimization_Seawall/GISSR_Optimization/fun_objective_loop_new.py", line 67, in objective + position = topo["POSITION"] + File "/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/pandas/core/frame.py", line 2139, in __getitem__ + return self._getitem_column(key) + File "/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/pandas/core/frame.py", line 2146, in _getitem_column + return self._get_item_cache(key) + File "/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/pandas/core/generic.py", line 1842, in _get_item_cache + values = self._data.get(item) + File "/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/pandas/core/internals.py", line 3843, in get + loc = self.items.get_loc(item) + File "/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2527, in get_loc + return self._engine.get_loc(self._maybe_cast_indexer(key)) + File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc + File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc + File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item + File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item +KeyError: 'POSITION' diff --git a/keepslurm100.out b/keepslurm100.out new file mode 100644 index 00000000..b0d2d8bc --- /dev/null +++ b/keepslurm100.out @@ -0,0 +1,70 @@ +/rigel/opt/anaconda3-5.1/lib/python3.6/site-packages/scipy/optimize/minpack.py:785: OptimizeWarning: Covariance of the parameters could not be estimated + category=OptimizeWarning) +/rigel/apam/users/pcd2120/GISoptimization/Optimization_Seawall/Phil/fun_objective_loop_new.py:116: SettingWithCopyWarning: +A value is trying to be set on a copy of a slice from a DataFrame + +See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy + elev[wall_id] = elev[wall_id] + wall_h +1 1 +2 2 +3 3 +4 4 +5 5 +6 6 +7 7 +8 8 +9 9 +10 10 +11 11 +12 12 +13 13 +14 14 +15 15 +16 16 +17 17 +18 18 +19 19 +20 20 +21 21 +22 22 +23 23 +24 24 +25 25 +26 26 +27 27 +28 28 +29 29 +30 30 + ... +62 62 +63 63 +64 64 +65 65 +66 66 +67 67 +68 68 +69 69 +70 70 +71 71 +72 72 +73 73 +74 74 +75 75 +76 76 +78 78 +79 79 +80 80 +83 83 +84 84 +85 85 +88 88 +89 89 +92 92 +93 93 +94 94 +97 97 +98 98 +99 99 +100 100 +Name: FID, Length: 91, dtype: int64 +Elapsed Time: 201.47860264778137 sec diff --git a/loop.sh b/loop.sh new file mode 100644 index 00000000..4d85bccc --- /dev/null +++ b/loop.sh @@ -0,0 +1,33 @@ +#!/bin/sh +# +#SBATCH --account=apam +#SBATCH --job-name=loopmrs +# SBATCH --gres=gpu:1 # Request 1 gpu (Up to 4 on K80s, or up to 2 on P100s are valid). +#SBATCH -c 1 # The number of cpu cores to use. +#SBATCH --time 1:00:00 # The time the job will take to run. +#SBATCH --mem-per-cpu=1gb # The memory the job will use per cpu core. +#SBATCH --mail-type=ALL + +module load anaconda/3-5.1 + +let COUNT=0 +for i in `seq 0 16`; +do + for j in `seq $i 16`; + do + for k in `seq 1 10`; + do + for l in `seq 1 1`; + do + python makerun.py $i $j $k $l $COUNT + let COUNT=COUNT+1 + sbatch GISi.sh + sleep 0.1s + #if [ $COUNT -eq 999 ] + #then + # sleep 3m + #fi + done + done + done +done diff --git a/main_opt_loop.py b/main_opt_loop.py index bdbbb8b7..5513268c 100644 --- a/main_opt_loop.py +++ b/main_opt_loop.py @@ -1,110 +1,98 @@ -import scipy as sp -import numpy as np -import pandas as pd -import time -import glob -import datetime -from scipy.optimize import minimize - -from fun_floodestimate import FloodHeight -from fun_floodestimate import FloodHeightWall -from fun_floodestimate import FloodTravelSectGroup -from fun_floodestimate import SurfaceVolFunc -from fun_damagecost import damage - -from fun_objective_loop import objective -# from fun_objective_loop import constraint1 -# from fun_objective_loop import constraint2 -# from fun_objective_loop import constraint3 -now = datetime.datetime.now() - -print(now) - -# setup -# Surface Volume Input -ndiv18 = 18 -sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] -files = glob.glob('NewSurfaceVolumeCombined\\LMN_div18_*.csv') -groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped\\LMN_div18_*.csv') -H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) - -SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) -SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) -SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) -SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) -SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) - -i = 0 -for f in groupcsvfiles: - surfaceVg = pd.read_csv(f)["volume"] - SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) - i = i + 1 - - -SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) -SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) -SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) -SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) -SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) - -SV_all = [] -i = 0 -for f in files: - surfaceV_height = pd.read_csv(f) - surfaceV = surfaceV_height["volume"] - SV_all = np.append(SV_all,surfaceV) - SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) - i = i+1 -SV_all = SV_all.reshape(18,21) - -roughness = pd.read_csv("Roughness.csv")["Roughness"] -slope = pd.read_csv("LMN_Slope.csv")["Slope"] - -# Setup - Division Connectivities -sect3 = np.zeros([len(sections)-6,7]) -k = 3 -for i in sections[3:-3]: - sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] - k = k + 1 - -sect0 = [sections[0],sections[1],sections[2],sections[3]] -sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] -sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] - -sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] -sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] -sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] - -# initial value -total_cost = 75*10**9 # total cost without any protective measure -cost_opt = total_cost -x_opt = [0,2040,0,0] -budget = 5e9 - -start_time = time.time() - -for ws in np.linspace(0,163,16): - for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): - for wh in np.linspace(0.1,5,10): - x = [wh,2040,ws,we] - total_cost_new = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, - SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, - SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3) - if total_cost_new < total_cost: - cost_wall = 109360*x[0]*(x[3]-x[2])*100 - if cost_wall < budget: - total_cost = total_cost_new - cost_opt = np.append(cost_opt,total_cost_new) - x_opt = np.concatenate((x_opt,x)) - cost_wall_opt = cost_wall - -elapsed_time = time.time() - start_time -print("Elapsed Time: ",elapsed_time, "sec") - - -print('Corresponding Cost:',cost_opt[-1]) - -x_optimal = x_opt.reshape(int(x_opt.size/4),4) - -print('Optimal Variables:', x_optimal[-1]) -print('Wall Cost:', cost_wall_opt) \ No newline at end of file +import scipy as sp +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop import objective +from fun_objective_loop import constraint1 +from fun_objective_loop import constraint2 +from fun_objective_loop import constraint3 + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined\\LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped\\LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +start_time = time.time() + +for ws in np.linspace(0,163,16): + for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): + for wh in np.linspace(0.1,5,10): + x = [wh,2040,ws,we] + total_cost_new = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3) + if total_cost_new < total_cost: + total_cost = total_cost_new + cost_opt = np.append(cost_opt,total_cost_new) + x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +print('Optimal Variables:',x) +print('Corresponding Cost:',total_cost_new) \ No newline at end of file diff --git a/main_opt_loop_manywalls.py b/main_opt_loop_manywalls.py new file mode 100644 index 00000000..1ce3f4cc --- /dev/null +++ b/main_opt_loop_manywalls.py @@ -0,0 +1,119 @@ +import scipy as sp +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +input_name = sys.argv[1] +output_name = sys.argv[2] + +x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): + +total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=2) +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("manywalls_runs\\"+output_name, 'w') +f.write(str(input_name)) +f.write(str(total_cost_new)) +f.write(str(wall_cost)) +#f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +#f.write(str(wall_cost)) + diff --git a/main_opt_loop_new.py b/main_opt_loop_new.py new file mode 100644 index 00000000..613a7f2c --- /dev/null +++ b/main_opt_loop_new.py @@ -0,0 +1,112 @@ +import scipy as sp +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_new import objective +from fun_objective_loop import constraint1 +from fun_objective_loop import constraint2 +from fun_objective_loop import constraint3 + + +ws = int(sys.argv[1]) +we = int(sys.argv[2]) +wh = float(sys.argv[3]) +wall_year = int(sys.argv[4]) +fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): +x = [wh,wall_year,ws,we] +total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=2) +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("updatedrun/"+fname, 'w') +f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +f.write(str(wall_cost)) + diff --git a/makerun.py b/makerun.py new file mode 100644 index 00000000..675c2385 --- /dev/null +++ b/makerun.py @@ -0,0 +1,23 @@ +import sys + +fname = str(sys.argv[5]) +i = int(sys.argv[1]) +j = int(sys.argv[2]) +k = int(sys.argv[3]) +l = int(sys.argv[4]) + +f = open("GISi.sh", "w") +f.write("#!/bin/sh\n") +f.write("#\n") +f.write("#SBATCH --account=apam\n") +f.write("#SBATCH --job-name=GISi\n") +f.write("#SBATCH -c 1\n") +f.write("#SBATCH --time 4:00:00\n") +f.write("#SBATCH --mem-per-cpu=1gb\n\n") + +ws = int(i*163.0/16.0) +we = int(j*163.0/16.0) +wh = 0.5*k +wall_year = 2040 + +f.write("python main_opt_loop_new.py "+str(ws)+" "+str(we)+" "+str(wh)+" "+str(wall_year)+" "+fname) diff --git a/n2/0 b/n2/0 new file mode 100644 index 00000000..38735a94 --- /dev/null +++ b/n2/0 @@ -0,0 +1,5 @@ +0 +0 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1 b/n2/1 new file mode 100644 index 00000000..bee985aa --- /dev/null +++ b/n2/1 @@ -0,0 +1,5 @@ +0 +0 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/10 b/n2/10 new file mode 100644 index 00000000..692d8318 --- /dev/null +++ b/n2/10 @@ -0,0 +1,5 @@ +0 +10 +0.5 +5399728907.023998 +54680000.0 \ No newline at end of file diff --git a/n2/100 b/n2/100 new file mode 100644 index 00000000..7ef62dc8 --- /dev/null +++ b/n2/100 @@ -0,0 +1,5 @@ +0 +101 +0.5 +5774668273.902176 +552268000.0 \ No newline at end of file diff --git a/n2/1000 b/n2/1000 new file mode 100644 index 00000000..89aa80f6 --- /dev/null +++ b/n2/1000 @@ -0,0 +1,5 @@ +71 +91 +0.5 +5497499022.923001 +109360000.0 \ No newline at end of file diff --git a/n2/1001 b/n2/1001 new file mode 100644 index 00000000..5c3c6d1b --- /dev/null +++ b/n2/1001 @@ -0,0 +1,5 @@ +71 +91 +1.0 +5605491043.806593 +218720000.0 \ No newline at end of file diff --git a/n2/1002 b/n2/1002 new file mode 100644 index 00000000..393907c3 --- /dev/null +++ b/n2/1002 @@ -0,0 +1,5 @@ +71 +91 +1.5 +5711271246.804032 +328080000.0 \ No newline at end of file diff --git a/n2/1003 b/n2/1003 new file mode 100644 index 00000000..b1178876 --- /dev/null +++ b/n2/1003 @@ -0,0 +1,5 @@ +71 +91 +2.0 +5820383863.498728 +437440000.0 \ No newline at end of file diff --git a/n2/1004 b/n2/1004 new file mode 100644 index 00000000..2123e1c4 --- /dev/null +++ b/n2/1004 @@ -0,0 +1,5 @@ +71 +91 +2.5 +5929709838.608626 +546800000.0 \ No newline at end of file diff --git a/n2/1005 b/n2/1005 new file mode 100644 index 00000000..53b77d46 --- /dev/null +++ b/n2/1005 @@ -0,0 +1,5 @@ +71 +91 +3.0 +6039069838.608626 +656160000.0 \ No newline at end of file diff --git a/n2/1006 b/n2/1006 new file mode 100644 index 00000000..4176aea8 --- /dev/null +++ b/n2/1006 @@ -0,0 +1,5 @@ +71 +91 +3.5 +6148429838.608626 +765520000.0 \ No newline at end of file diff --git a/n2/1007 b/n2/1007 new file mode 100644 index 00000000..4dc05b6f --- /dev/null +++ b/n2/1007 @@ -0,0 +1,5 @@ +71 +91 +4.0 +6257789838.608626 +874880000.0 \ No newline at end of file diff --git a/n2/1008 b/n2/1008 new file mode 100644 index 00000000..2cd1b264 --- /dev/null +++ b/n2/1008 @@ -0,0 +1,5 @@ +71 +91 +4.5 +6367149838.608626 +984240000.0 \ No newline at end of file diff --git a/n2/1009 b/n2/1009 new file mode 100644 index 00000000..4fa35cb1 --- /dev/null +++ b/n2/1009 @@ -0,0 +1,5 @@ +71 +91 +5.0 +6476509838.608626 +1093600000.0 \ No newline at end of file diff --git a/n2/101 b/n2/101 new file mode 100644 index 00000000..59acd51b --- /dev/null +++ b/n2/101 @@ -0,0 +1,5 @@ +0 +101 +1.0 +6042708303.468027 +1104536000.0 \ No newline at end of file diff --git a/n2/1010 b/n2/1010 new file mode 100644 index 00000000..239056eb --- /dev/null +++ b/n2/1010 @@ -0,0 +1,5 @@ +71 +101 +0.5 +5552179022.923001 +164040000.0 \ No newline at end of file diff --git a/n2/1011 b/n2/1011 new file mode 100644 index 00000000..64611b15 --- /dev/null +++ b/n2/1011 @@ -0,0 +1,5 @@ +71 +101 +1.0 +5714851043.806593 +328080000.0 \ No newline at end of file diff --git a/n2/1012 b/n2/1012 new file mode 100644 index 00000000..f1e8a71d --- /dev/null +++ b/n2/1012 @@ -0,0 +1,5 @@ +71 +101 +1.5 +5875311246.804032 +492120000.0 \ No newline at end of file diff --git a/n2/1013 b/n2/1013 new file mode 100644 index 00000000..d561492a --- /dev/null +++ b/n2/1013 @@ -0,0 +1,5 @@ +71 +101 +2.0 +6039103863.498728 +656160000.0 \ No newline at end of file diff --git a/n2/1014 b/n2/1014 new file mode 100644 index 00000000..ecb09435 --- /dev/null +++ b/n2/1014 @@ -0,0 +1,5 @@ +71 +101 +2.5 +6203109838.608626 +820200000.0 \ No newline at end of file diff --git a/n2/1015 b/n2/1015 new file mode 100644 index 00000000..659cc913 --- /dev/null +++ b/n2/1015 @@ -0,0 +1,5 @@ +71 +101 +3.0 +6367149838.608626 +984240000.0 \ No newline at end of file diff --git a/n2/1016 b/n2/1016 new file mode 100644 index 00000000..5b7e4374 --- /dev/null +++ b/n2/1016 @@ -0,0 +1,5 @@ +71 +101 +3.5 +6531189838.608626 +1148280000.0 \ No newline at end of file diff --git a/n2/1017 b/n2/1017 new file mode 100644 index 00000000..d7a31702 --- /dev/null +++ b/n2/1017 @@ -0,0 +1,5 @@ +71 +101 +4.0 +6695229838.608626 +1312320000.0 \ No newline at end of file diff --git a/n2/1018 b/n2/1018 new file mode 100644 index 00000000..696c8269 --- /dev/null +++ b/n2/1018 @@ -0,0 +1,5 @@ +71 +101 +4.5 +6859269838.608626 +1476360000.0 \ No newline at end of file diff --git a/n2/1019 b/n2/1019 new file mode 100644 index 00000000..a8340e0f --- /dev/null +++ b/n2/1019 @@ -0,0 +1,5 @@ +71 +101 +5.0 +7023309838.608626 +1640400000.0 \ No newline at end of file diff --git a/n2/102 b/n2/102 new file mode 100644 index 00000000..639bc747 --- /dev/null +++ b/n2/102 @@ -0,0 +1,5 @@ +0 +101 +1.5 +5665497807.980355 +1656804000.0 \ No newline at end of file diff --git a/n2/1020 b/n2/1020 new file mode 100644 index 00000000..b3667457 --- /dev/null +++ b/n2/1020 @@ -0,0 +1,5 @@ +71 +112 +0.5 +5573614637.0610285 +224188000.0 \ No newline at end of file diff --git a/n2/1021 b/n2/1021 new file mode 100644 index 00000000..3b478ec1 --- /dev/null +++ b/n2/1021 @@ -0,0 +1,5 @@ +71 +112 +1.0 +5794683188.108967 +448376000.0 \ No newline at end of file diff --git a/n2/1022 b/n2/1022 new file mode 100644 index 00000000..3a801b1d --- /dev/null +++ b/n2/1022 @@ -0,0 +1,5 @@ +71 +112 +1.5 +6008642690.018218 +672564000.0 \ No newline at end of file diff --git a/n2/1023 b/n2/1023 new file mode 100644 index 00000000..f116f9df --- /dev/null +++ b/n2/1023 @@ -0,0 +1,5 @@ +71 +112 +2.0 +6230471120.429032 +896752000.0 \ No newline at end of file diff --git a/n2/1024 b/n2/1024 new file mode 100644 index 00000000..acb258de --- /dev/null +++ b/n2/1024 @@ -0,0 +1,5 @@ +71 +112 +2.5 +6454451457.653741 +1120940000.0 \ No newline at end of file diff --git a/n2/1025 b/n2/1025 new file mode 100644 index 00000000..e58f589e --- /dev/null +++ b/n2/1025 @@ -0,0 +1,5 @@ +71 +112 +3.0 +6678639457.653741 +1345128000.0 \ No newline at end of file diff --git a/n2/1026 b/n2/1026 new file mode 100644 index 00000000..135cad2d --- /dev/null +++ b/n2/1026 @@ -0,0 +1,5 @@ +71 +112 +3.5 +6902827457.653741 +1569316000.0 \ No newline at end of file diff --git a/n2/1027 b/n2/1027 new file mode 100644 index 00000000..599b0f18 --- /dev/null +++ b/n2/1027 @@ -0,0 +1,5 @@ +71 +112 +4.0 +7127015457.653741 +1793504000.0 \ No newline at end of file diff --git a/n2/1028 b/n2/1028 new file mode 100644 index 00000000..59d02705 --- /dev/null +++ b/n2/1028 @@ -0,0 +1,5 @@ +71 +112 +4.5 +7351203457.653741 +2017692000.0 \ No newline at end of file diff --git a/n2/1029 b/n2/1029 new file mode 100644 index 00000000..5d050a92 --- /dev/null +++ b/n2/1029 @@ -0,0 +1,5 @@ +71 +112 +5.0 +7575391457.653741 +2241880000.0 \ No newline at end of file diff --git a/n2/103 b/n2/103 new file mode 100644 index 00000000..b841487e --- /dev/null +++ b/n2/103 @@ -0,0 +1,5 @@ +0 +101 +2.0 +5567131809.7121525 +2209072000.0 \ No newline at end of file diff --git a/n2/1030 b/n2/1030 new file mode 100644 index 00000000..9bb8b196 --- /dev/null +++ b/n2/1030 @@ -0,0 +1,5 @@ +71 +122 +0.5 +5626396470.295599 +278868000.0 \ No newline at end of file diff --git a/n2/1031 b/n2/1031 new file mode 100644 index 00000000..7906433f --- /dev/null +++ b/n2/1031 @@ -0,0 +1,5 @@ +71 +122 +1.0 +5901221292.327384 +557736000.0 \ No newline at end of file diff --git a/n2/1032 b/n2/1032 new file mode 100644 index 00000000..b9277593 --- /dev/null +++ b/n2/1032 @@ -0,0 +1,5 @@ +71 +122 +1.5 +6168213721.646387 +836604000.0 \ No newline at end of file diff --git a/n2/1033 b/n2/1033 new file mode 100644 index 00000000..48fef3b1 --- /dev/null +++ b/n2/1033 @@ -0,0 +1,5 @@ +71 +122 +2.0 +6445166308.838548 +1115472000.0 \ No newline at end of file diff --git a/n2/1034 b/n2/1034 new file mode 100644 index 00000000..6287a30d --- /dev/null +++ b/n2/1034 @@ -0,0 +1,5 @@ +71 +122 +2.5 +6723907990.8767605 +1394340000.0 \ No newline at end of file diff --git a/n2/1035 b/n2/1035 new file mode 100644 index 00000000..1dd9c039 --- /dev/null +++ b/n2/1035 @@ -0,0 +1,5 @@ +71 +122 +3.0 +7002775840.496258 +1673208000.0 \ No newline at end of file diff --git a/n2/1036 b/n2/1036 new file mode 100644 index 00000000..7ba44749 --- /dev/null +++ b/n2/1036 @@ -0,0 +1,5 @@ +71 +122 +3.5 +7281643840.496259 +1952076000.0 \ No newline at end of file diff --git a/n2/1037 b/n2/1037 new file mode 100644 index 00000000..e497ab22 --- /dev/null +++ b/n2/1037 @@ -0,0 +1,5 @@ +71 +122 +4.0 +7560511840.496259 +2230944000.0 \ No newline at end of file diff --git a/n2/1038 b/n2/1038 new file mode 100644 index 00000000..8f9f4688 --- /dev/null +++ b/n2/1038 @@ -0,0 +1,5 @@ +71 +122 +4.5 +7839379840.496259 +2509812000.0 \ No newline at end of file diff --git a/n2/1039 b/n2/1039 new file mode 100644 index 00000000..2739c61b --- /dev/null +++ b/n2/1039 @@ -0,0 +1,5 @@ +71 +122 +5.0 +8118247840.496259 +2788680000.0 \ No newline at end of file diff --git a/n2/104 b/n2/104 new file mode 100644 index 00000000..aabb5b6f --- /dev/null +++ b/n2/104 @@ -0,0 +1,5 @@ +0 +101 +2.5 +5988266573.945595 +2761340000.0 \ No newline at end of file diff --git a/n2/1040 b/n2/1040 new file mode 100644 index 00000000..9b67143e --- /dev/null +++ b/n2/1040 @@ -0,0 +1,5 @@ +71 +132 +0.5 +5677286927.313824 +333548000.0 \ No newline at end of file diff --git a/n2/1041 b/n2/1041 new file mode 100644 index 00000000..5fc01a4c --- /dev/null +++ b/n2/1041 @@ -0,0 +1,5 @@ +71 +132 +1.0 +6004911021.160542 +667096000.0 \ No newline at end of file diff --git a/n2/1042 b/n2/1042 new file mode 100644 index 00000000..ade27380 --- /dev/null +++ b/n2/1042 @@ -0,0 +1,5 @@ +71 +132 +1.5 +6326602293.691077 +1000644000.0 \ No newline at end of file diff --git a/n2/1043 b/n2/1043 new file mode 100644 index 00000000..e93490a0 --- /dev/null +++ b/n2/1043 @@ -0,0 +1,5 @@ +71 +132 +2.0 +6658605390.720233 +1334192000.0 \ No newline at end of file diff --git a/n2/1044 b/n2/1044 new file mode 100644 index 00000000..8402374c --- /dev/null +++ b/n2/1044 @@ -0,0 +1,5 @@ +71 +132 +2.5 +6992099352.347521 +1667740000.0 \ No newline at end of file diff --git a/n2/1045 b/n2/1045 new file mode 100644 index 00000000..cff8e844 --- /dev/null +++ b/n2/1045 @@ -0,0 +1,5 @@ +71 +132 +3.0 +7325645570.522486 +2001288000.0 \ No newline at end of file diff --git a/n2/1046 b/n2/1046 new file mode 100644 index 00000000..961b5d14 --- /dev/null +++ b/n2/1046 @@ -0,0 +1,5 @@ +71 +132 +3.5 +7659193570.522486 +2334836000.0 \ No newline at end of file diff --git a/n2/1047 b/n2/1047 new file mode 100644 index 00000000..db482913 --- /dev/null +++ b/n2/1047 @@ -0,0 +1,5 @@ +71 +132 +4.0 +7992741570.522486 +2668384000.0 \ No newline at end of file diff --git a/n2/1048 b/n2/1048 new file mode 100644 index 00000000..1a6b479d --- /dev/null +++ b/n2/1048 @@ -0,0 +1,5 @@ +71 +132 +4.5 +8326289570.522486 +3001932000.0 \ No newline at end of file diff --git a/n2/1049 b/n2/1049 new file mode 100644 index 00000000..bfbf3ae4 --- /dev/null +++ b/n2/1049 @@ -0,0 +1,5 @@ +71 +132 +5.0 +8659837570.522486 +3335480000.0 \ No newline at end of file diff --git a/n2/105 b/n2/105 new file mode 100644 index 00000000..14680c7f --- /dev/null +++ b/n2/105 @@ -0,0 +1,5 @@ +0 +101 +3.0 +6495044298.134149 +3313608000.0 \ No newline at end of file diff --git a/n2/1050 b/n2/1050 new file mode 100644 index 00000000..7180a942 --- /dev/null +++ b/n2/1050 @@ -0,0 +1,5 @@ +71 +142 +0.5 +5674988371.272286 +388228000.0 \ No newline at end of file diff --git a/n2/1051 b/n2/1051 new file mode 100644 index 00000000..1e66f1c4 --- /dev/null +++ b/n2/1051 @@ -0,0 +1,5 @@ +71 +142 +1.0 +6039869031.460632 +776456000.0 \ No newline at end of file diff --git a/n2/1052 b/n2/1052 new file mode 100644 index 00000000..2c3b389a --- /dev/null +++ b/n2/1052 @@ -0,0 +1,5 @@ +71 +142 +1.5 +6414918424.199462 +1164684000.0 \ No newline at end of file diff --git a/n2/1053 b/n2/1053 new file mode 100644 index 00000000..5c005d1a --- /dev/null +++ b/n2/1053 @@ -0,0 +1,5 @@ +71 +142 +2.0 +6797034748.849383 +1552912000.0 \ No newline at end of file diff --git a/n2/1054 b/n2/1054 new file mode 100644 index 00000000..eab1a4a0 --- /dev/null +++ b/n2/1054 @@ -0,0 +1,5 @@ +71 +142 +2.5 +7183790236.277046 +1941140000.0 \ No newline at end of file diff --git a/n2/1055 b/n2/1055 new file mode 100644 index 00000000..d05b613f --- /dev/null +++ b/n2/1055 @@ -0,0 +1,5 @@ +71 +142 +3.0 +7571670976.545064 +2329368000.0 \ No newline at end of file diff --git a/n2/1056 b/n2/1056 new file mode 100644 index 00000000..7abb15ed --- /dev/null +++ b/n2/1056 @@ -0,0 +1,5 @@ +71 +142 +3.5 +7959895173.468294 +2717596000.0 \ No newline at end of file diff --git a/n2/1057 b/n2/1057 new file mode 100644 index 00000000..5fea028a --- /dev/null +++ b/n2/1057 @@ -0,0 +1,5 @@ +71 +142 +4.0 +8348123173.468294 +3105824000.0 \ No newline at end of file diff --git a/n2/1058 b/n2/1058 new file mode 100644 index 00000000..03121182 --- /dev/null +++ b/n2/1058 @@ -0,0 +1,5 @@ +71 +142 +4.5 +8736351173.468296 +3494052000.0 \ No newline at end of file diff --git a/n2/1059 b/n2/1059 new file mode 100644 index 00000000..7eb8322a --- /dev/null +++ b/n2/1059 @@ -0,0 +1,5 @@ +71 +142 +5.0 +9124579173.468296 +3882280000.0 \ No newline at end of file diff --git a/n2/106 b/n2/106 new file mode 100644 index 00000000..de16163f --- /dev/null +++ b/n2/106 @@ -0,0 +1,5 @@ +0 +101 +3.5 +7028007467.91659 +3865876000.0 \ No newline at end of file diff --git a/n2/1060 b/n2/1060 new file mode 100644 index 00000000..2d74a5ab --- /dev/null +++ b/n2/1060 @@ -0,0 +1,5 @@ +71 +152 +0.5 +5514168180.39125 +442908000.0 \ No newline at end of file diff --git a/n2/1061 b/n2/1061 new file mode 100644 index 00000000..edc86c20 --- /dev/null +++ b/n2/1061 @@ -0,0 +1,5 @@ +71 +152 +1.0 +5848719543.150824 +885816000.0 \ No newline at end of file diff --git a/n2/1062 b/n2/1062 new file mode 100644 index 00000000..9c06c088 --- /dev/null +++ b/n2/1062 @@ -0,0 +1,5 @@ +71 +152 +1.5 +6252236681.467498 +1328724000.0 \ No newline at end of file diff --git a/n2/1063 b/n2/1063 new file mode 100644 index 00000000..3c053c7e --- /dev/null +++ b/n2/1063 @@ -0,0 +1,5 @@ +71 +152 +2.0 +6686203781.796926 +1771632000.0 \ No newline at end of file diff --git a/n2/1064 b/n2/1064 new file mode 100644 index 00000000..0a9077b4 --- /dev/null +++ b/n2/1064 @@ -0,0 +1,5 @@ +71 +152 +2.5 +7127793652.117575 +2214540000.0 \ No newline at end of file diff --git a/n2/1065 b/n2/1065 new file mode 100644 index 00000000..796ba6dc --- /dev/null +++ b/n2/1065 @@ -0,0 +1,5 @@ +71 +152 +3.0 +7570472989.516004 +2657448000.0 \ No newline at end of file diff --git a/n2/1066 b/n2/1066 new file mode 100644 index 00000000..48f4bff3 --- /dev/null +++ b/n2/1066 @@ -0,0 +1,5 @@ +71 +152 +3.5 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+503056000.0 \ No newline at end of file diff --git a/n2/1071 b/n2/1071 new file mode 100644 index 00000000..01dbeecc --- /dev/null +++ b/n2/1071 @@ -0,0 +1,5 @@ +71 +163 +1.0 +5486407166.189191 +1006112000.0 \ No newline at end of file diff --git a/n2/1072 b/n2/1072 new file mode 100644 index 00000000..58e334c0 --- /dev/null +++ b/n2/1072 @@ -0,0 +1,5 @@ +71 +163 +1.5 +5855203159.577167 +1509168000.0 \ No newline at end of file diff --git a/n2/1073 b/n2/1073 new file mode 100644 index 00000000..498e9f98 --- /dev/null +++ b/n2/1073 @@ -0,0 +1,5 @@ +71 +163 +2.0 +6205378369.687741 +2012224000.0 \ No newline at end of file diff --git a/n2/1074 b/n2/1074 new file mode 100644 index 00000000..151f791a --- /dev/null +++ b/n2/1074 @@ -0,0 +1,5 @@ +71 +163 +2.5 +6707155218.821562 +2515280000.0 \ No newline at end of file diff --git a/n2/1075 b/n2/1075 new file mode 100644 index 00000000..fdd5f626 --- /dev/null +++ b/n2/1075 @@ -0,0 +1,5 @@ +71 +163 +3.0 +7209990352.85602 +3018336000.0 \ No newline at end of file diff --git a/n2/1076 b/n2/1076 new file mode 100644 index 00000000..cef74b0d --- /dev/null +++ b/n2/1076 @@ -0,0 +1,5 @@ +71 +163 +3.5 +7713042587.213957 +3521392000.0 \ No newline at end of file diff --git a/n2/1077 b/n2/1077 new file mode 100644 index 00000000..b592cb84 --- /dev/null +++ b/n2/1077 @@ -0,0 +1,5 @@ +71 +163 +4.0 +8216098587.213957 +4024448000.0 \ No newline at end of file diff --git a/n2/1078 b/n2/1078 new file mode 100644 index 00000000..b52b1e8c --- /dev/null +++ b/n2/1078 @@ -0,0 +1,5 @@ +71 +163 +4.5 +8719154587.213959 +4527504000.0 \ No newline at end of file diff --git a/n2/1079 b/n2/1079 new file mode 100644 index 00000000..83d40611 --- /dev/null +++ b/n2/1079 @@ -0,0 +1,5 @@ +71 +163 +5.0 +9222210587.213959 +5030560000.0 \ No newline at end of file diff --git a/n2/108 b/n2/108 new file mode 100644 index 00000000..c1e9bbdb --- /dev/null +++ b/n2/108 @@ -0,0 +1,5 @@ +0 +101 +4.5 +8132543467.91659 +4970412000.0 \ No newline at end of file diff --git a/n2/1080 b/n2/1080 new file mode 100644 index 00000000..0f418c8a --- /dev/null +++ b/n2/1080 @@ -0,0 +1,5 @@ +81 +81 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1081 b/n2/1081 new file mode 100644 index 00000000..afb430b1 --- /dev/null +++ b/n2/1081 @@ -0,0 +1,5 @@ +81 +81 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1082 b/n2/1082 new file mode 100644 index 00000000..b3f57d03 --- /dev/null +++ b/n2/1082 @@ -0,0 +1,5 @@ +81 +81 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1083 b/n2/1083 new file mode 100644 index 00000000..fac9ea2e --- /dev/null +++ b/n2/1083 @@ -0,0 +1,5 @@ +81 +81 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1084 b/n2/1084 new file mode 100644 index 00000000..daf1488d --- /dev/null +++ b/n2/1084 @@ -0,0 +1,5 @@ +81 +81 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1085 b/n2/1085 new file mode 100644 index 00000000..95ec103c --- /dev/null +++ b/n2/1085 @@ -0,0 +1,5 @@ +81 +81 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1086 b/n2/1086 new file mode 100644 index 00000000..3f592153 --- /dev/null +++ b/n2/1086 @@ -0,0 +1,5 @@ +81 +81 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1087 b/n2/1087 new file mode 100644 index 00000000..c3164bf2 --- /dev/null +++ b/n2/1087 @@ -0,0 +1,5 @@ +81 +81 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1088 b/n2/1088 new file mode 100644 index 00000000..ab4b56cf --- /dev/null +++ b/n2/1088 @@ -0,0 +1,5 @@ +81 +81 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1089 b/n2/1089 new file mode 100644 index 00000000..43cb9162 --- /dev/null +++ b/n2/1089 @@ -0,0 +1,5 @@ +81 +81 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/109 b/n2/109 new file mode 100644 index 00000000..41f2c947 --- /dev/null +++ b/n2/109 @@ -0,0 +1,5 @@ +0 +101 +5.0 +8684811467.916588 +5522680000.0 \ No newline at end of file diff --git a/n2/1090 b/n2/1090 new file mode 100644 index 00000000..7d445c00 --- /dev/null +++ b/n2/1090 @@ -0,0 +1,5 @@ +81 +91 +0.5 +5442847034.482044 +54680000.0 \ No newline at end of file diff --git a/n2/1091 b/n2/1091 new file mode 100644 index 00000000..4be7fe50 --- /dev/null +++ b/n2/1091 @@ -0,0 +1,5 @@ +81 +91 +1.0 +5497527034.482044 +109360000.0 \ No newline at end of file diff --git a/n2/1092 b/n2/1092 new file mode 100644 index 00000000..b2b98231 --- /dev/null +++ b/n2/1092 @@ -0,0 +1,5 @@ +81 +91 +1.5 +5552207034.482044 +164040000.0 \ No newline at end of file diff --git a/n2/1093 b/n2/1093 new file mode 100644 index 00000000..f923cd62 --- /dev/null +++ b/n2/1093 @@ -0,0 +1,5 @@ +81 +91 +2.0 +5606887034.482044 +218720000.0 \ No newline at end of file diff --git a/n2/1094 b/n2/1094 new file mode 100644 index 00000000..80407cb9 --- /dev/null +++ b/n2/1094 @@ -0,0 +1,5 @@ +81 +91 +2.5 +5661567034.482044 +273400000.0 \ No newline at end of file diff --git a/n2/1095 b/n2/1095 new file mode 100644 index 00000000..cd1fa0d4 --- /dev/null +++ b/n2/1095 @@ -0,0 +1,5 @@ +81 +91 +3.0 +5716247034.482044 +328080000.0 \ No newline at end of file diff --git a/n2/1096 b/n2/1096 new file mode 100644 index 00000000..387ae11c --- /dev/null +++ b/n2/1096 @@ -0,0 +1,5 @@ +81 +91 +3.5 +5770927034.482044 +382760000.0 \ No newline at end of file diff --git a/n2/1097 b/n2/1097 new file mode 100644 index 00000000..e4b3fee4 --- /dev/null +++ b/n2/1097 @@ -0,0 +1,5 @@ +81 +91 +4.0 +5825607034.482044 +437440000.0 \ No newline at end of file diff --git a/n2/1098 b/n2/1098 new file mode 100644 index 00000000..eb1cb175 --- /dev/null +++ b/n2/1098 @@ -0,0 +1,5 @@ +81 +91 +4.5 +5880287034.482044 +492120000.0 \ No newline at end of file diff --git a/n2/1099 b/n2/1099 new file mode 100644 index 00000000..d1b5e8a2 --- /dev/null +++ b/n2/1099 @@ -0,0 +1,5 @@ +81 +91 +5.0 +5934967034.482044 +546800000.0 \ No newline at end of file diff --git a/n2/11 b/n2/11 new file mode 100644 index 00000000..5b2aa9dd --- /dev/null +++ b/n2/11 @@ -0,0 +1,5 @@ +0 +10 +1.0 +5434128264.396669 +109360000.0 \ No newline at end of file diff --git a/n2/110 b/n2/110 new file mode 100644 index 00000000..2fe843e1 --- /dev/null +++ b/n2/110 @@ -0,0 +1,5 @@ +0 +112 +0.5 +5796119318.772163 +612416000.0 \ No newline at end of file diff --git a/n2/1100 b/n2/1100 new file mode 100644 index 00000000..3e0a81d1 --- /dev/null +++ b/n2/1100 @@ -0,0 +1,5 @@ +81 +101 +0.5 +5497527034.482044 +109360000.0 \ No newline at end of file diff --git a/n2/1101 b/n2/1101 new file mode 100644 index 00000000..015bf2f3 --- /dev/null +++ b/n2/1101 @@ -0,0 +1,5 @@ +81 +101 +1.0 +5606887034.482044 +218720000.0 \ No newline at end of file diff --git a/n2/1102 b/n2/1102 new file mode 100644 index 00000000..0906b5fb --- /dev/null +++ b/n2/1102 @@ -0,0 +1,5 @@ +81 +101 +1.5 +5716247034.482044 +328080000.0 \ No newline at end of file diff --git a/n2/1103 b/n2/1103 new file mode 100644 index 00000000..f8536be8 --- /dev/null +++ b/n2/1103 @@ -0,0 +1,5 @@ +81 +101 +2.0 +5825607034.482044 +437440000.0 \ No newline at end of file diff --git a/n2/1104 b/n2/1104 new file mode 100644 index 00000000..10fa900a --- /dev/null +++ b/n2/1104 @@ -0,0 +1,5 @@ +81 +101 +2.5 +5934967034.482044 +546800000.0 \ No newline at end of file diff --git a/n2/1105 b/n2/1105 new file mode 100644 index 00000000..99e72927 --- /dev/null +++ b/n2/1105 @@ -0,0 +1,5 @@ +81 +101 +3.0 +6044327034.482044 +656160000.0 \ No newline at end of file diff --git a/n2/1106 b/n2/1106 new file mode 100644 index 00000000..1607c886 --- /dev/null +++ b/n2/1106 @@ -0,0 +1,5 @@ +81 +101 +3.5 +6153687034.482044 +765520000.0 \ No newline at end of file diff --git a/n2/1107 b/n2/1107 new file mode 100644 index 00000000..9d9bfdac --- /dev/null +++ b/n2/1107 @@ -0,0 +1,5 @@ +81 +101 +4.0 +6263047034.482044 +874880000.0 \ No newline at end of file diff --git a/n2/1108 b/n2/1108 new file mode 100644 index 00000000..47820211 --- /dev/null +++ b/n2/1108 @@ -0,0 +1,5 @@ +81 +101 +4.5 +6372407034.482044 +984240000.0 \ No newline at end of file diff --git a/n2/1109 b/n2/1109 new file mode 100644 index 00000000..2173c012 --- /dev/null +++ b/n2/1109 @@ -0,0 +1,5 @@ +81 +101 +5.0 +6481767034.482044 +1093600000.0 \ No newline at end of file diff --git a/n2/111 b/n2/111 new file mode 100644 index 00000000..01c1dd31 --- /dev/null +++ b/n2/111 @@ -0,0 +1,5 @@ +0 +112 +1.0 +6098792458.132528 +1224832000.0 \ No newline at end of file diff --git a/n2/1110 b/n2/1110 new file mode 100644 index 00000000..19a9cf28 --- /dev/null +++ b/n2/1110 @@ -0,0 +1,5 @@ +81 +112 +0.5 +5518934637.0610285 +169508000.0 \ No newline at end of file diff --git a/n2/1111 b/n2/1111 new file mode 100644 index 00000000..3b45b834 --- /dev/null +++ b/n2/1111 @@ -0,0 +1,5 @@ +81 +112 +1.0 +5687983483.714275 +339016000.0 \ No newline at end of file diff --git a/n2/1112 b/n2/1112 new file mode 100644 index 00000000..4c91b3ae --- /dev/null +++ b/n2/1112 @@ -0,0 +1,5 @@ +81 +112 +1.5 +5857456516.9640465 +508524000.0 \ No newline at end of file diff --git a/n2/1113 b/n2/1113 new file mode 100644 index 00000000..1f6762d9 --- /dev/null +++ b/n2/1113 @@ -0,0 +1,5 @@ +81 +112 +2.0 +6026964516.9640465 +678032000.0 \ No newline at end of file diff --git a/n2/1114 b/n2/1114 new file mode 100644 index 00000000..347071ec --- /dev/null +++ b/n2/1114 @@ -0,0 +1,5 @@ +81 +112 +2.5 +6196472516.9640465 +847540000.0 \ No newline at end of file diff --git a/n2/1115 b/n2/1115 new file mode 100644 index 00000000..b723f745 --- /dev/null +++ b/n2/1115 @@ -0,0 +1,5 @@ +81 +112 +3.0 +6365980516.9640465 +1017048000.0 \ No newline at end of file diff --git a/n2/1116 b/n2/1116 new file mode 100644 index 00000000..1593aab8 --- /dev/null +++ b/n2/1116 @@ -0,0 +1,5 @@ +81 +112 +3.5 +6535488516.9640465 +1186556000.0 \ No newline at end of file diff --git a/n2/1117 b/n2/1117 new file mode 100644 index 00000000..00cbd808 --- /dev/null +++ b/n2/1117 @@ -0,0 +1,5 @@ +81 +112 +4.0 +6704996516.9640465 +1356064000.0 \ No newline at end of file diff --git a/n2/1118 b/n2/1118 new file mode 100644 index 00000000..1576d6f5 --- /dev/null +++ b/n2/1118 @@ -0,0 +1,5 @@ +81 +112 +4.5 +6874504516.9640465 +1525572000.0 \ No newline at end of file diff --git a/n2/1119 b/n2/1119 new file mode 100644 index 00000000..bd9e0a76 --- /dev/null +++ b/n2/1119 @@ -0,0 +1,5 @@ +81 +112 +5.0 +7044012516.9640465 +1695080000.0 \ No newline at end of file diff --git a/n2/112 b/n2/112 new file mode 100644 index 00000000..867b4513 --- /dev/null +++ b/n2/112 @@ -0,0 +1,5 @@ +0 +112 +1.5 +5882574910.435083 +1837248000.0 \ No newline at end of file diff --git a/n2/1120 b/n2/1120 new file mode 100644 index 00000000..eaa58045 --- /dev/null +++ b/n2/1120 @@ -0,0 +1,5 @@ +81 +122 +0.5 +5571716470.295599 +224188000.0 \ No newline at end of file diff --git a/n2/1121 b/n2/1121 new file mode 100644 index 00000000..e087d53d --- /dev/null +++ b/n2/1121 @@ -0,0 +1,5 @@ +81 +122 +1.0 +5795153245.157872 +448376000.0 \ No newline at end of file diff --git a/n2/1122 b/n2/1122 new file mode 100644 index 00000000..e295dc04 --- /dev/null +++ b/n2/1122 @@ -0,0 +1,5 @@ +81 +122 +1.5 +6019304069.334569 +672564000.0 \ No newline at end of file diff --git a/n2/1123 b/n2/1123 new file mode 100644 index 00000000..26074169 --- /dev/null +++ b/n2/1123 @@ -0,0 +1,5 @@ +81 +122 +2.0 +6243492069.334569 +896752000.0 \ No newline at end of file diff --git a/n2/1124 b/n2/1124 new file mode 100644 index 00000000..60486bb6 --- /dev/null +++ b/n2/1124 @@ -0,0 +1,5 @@ +81 +122 +2.5 +6467680069.334569 +1120940000.0 \ No newline at end of file diff --git a/n2/1125 b/n2/1125 new file mode 100644 index 00000000..5ee17cd2 --- /dev/null +++ b/n2/1125 @@ -0,0 +1,5 @@ +81 +122 +3.0 +6691868069.334569 +1345128000.0 \ No newline at end of file diff --git a/n2/1126 b/n2/1126 new file mode 100644 index 00000000..ef0109c6 --- /dev/null +++ b/n2/1126 @@ -0,0 +1,5 @@ +81 +122 +3.5 +6916056069.334569 +1569316000.0 \ No newline at end of file diff --git a/n2/1127 b/n2/1127 new file mode 100644 index 00000000..45dee221 --- /dev/null +++ b/n2/1127 @@ -0,0 +1,5 @@ +81 +122 +4.0 +7140244069.334569 +1793504000.0 \ No newline at end of file diff --git a/n2/1128 b/n2/1128 new file mode 100644 index 00000000..c79f178e --- /dev/null +++ b/n2/1128 @@ -0,0 +1,5 @@ +81 +122 +4.5 +7364432069.334569 +2017692000.0 \ No newline at end of file diff --git a/n2/1129 b/n2/1129 new file mode 100644 index 00000000..dae871e1 --- /dev/null +++ b/n2/1129 @@ -0,0 +1,5 @@ +81 +122 +5.0 +7588620069.334569 +2241880000.0 \ No newline at end of file diff --git a/n2/113 b/n2/113 new file mode 100644 index 00000000..52b2b84b --- /dev/null +++ b/n2/113 @@ -0,0 +1,5 @@ +0 +112 +2.0 +4695589395.121256 +2449664000.0 \ No newline at end of file diff --git a/n2/1130 b/n2/1130 new file mode 100644 index 00000000..c1b68025 --- /dev/null +++ b/n2/1130 @@ -0,0 +1,5 @@ +81 +132 +0.5 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+1673208000.0 \ No newline at end of file diff --git a/n2/1136 b/n2/1136 new file mode 100644 index 00000000..8883c1bd --- /dev/null +++ b/n2/1136 @@ -0,0 +1,5 @@ +81 +132 +3.5 +7294369823.725741 +1952076000.0 \ No newline at end of file diff --git a/n2/1137 b/n2/1137 new file mode 100644 index 00000000..f508d5ac --- /dev/null +++ b/n2/1137 @@ -0,0 +1,5 @@ +81 +132 +4.0 +7573237823.725741 +2230944000.0 \ No newline at end of file diff --git a/n2/1138 b/n2/1138 new file mode 100644 index 00000000..e55c47ee --- /dev/null +++ b/n2/1138 @@ -0,0 +1,5 @@ +81 +132 +4.5 +7852105823.725741 +2509812000.0 \ No newline at end of file diff --git a/n2/1139 b/n2/1139 new file mode 100644 index 00000000..47004b9e --- /dev/null +++ b/n2/1139 @@ -0,0 +1,5 @@ +81 +132 +5.0 +8130973823.725741 +2788680000.0 \ No newline at end of file diff --git a/n2/114 b/n2/114 new file mode 100644 index 00000000..009f7a2f --- /dev/null +++ b/n2/114 @@ -0,0 +1,5 @@ +0 +112 +2.5 +5155359569.446863 +3062080000.0 \ No newline at end of file diff --git a/n2/1140 b/n2/1140 new file mode 100644 index 00000000..a40ee7e4 --- /dev/null +++ b/n2/1140 @@ -0,0 +1,5 @@ +81 +142 +0.5 +5620876728.446802 +333548000.0 \ No newline at end of file diff --git a/n2/1141 b/n2/1141 new file mode 100644 index 00000000..0cb1cbd8 --- /dev/null +++ b/n2/1141 @@ -0,0 +1,5 @@ +81 +142 +1.0 +5939533662.511111 +667096000.0 \ No newline at end of file diff --git a/n2/1142 b/n2/1142 new file mode 100644 index 00000000..8d9385d2 --- /dev/null +++ b/n2/1142 @@ -0,0 +1,5 @@ +81 +142 +1.5 +6273778616.519919 +1000644000.0 \ No newline at end of file diff --git a/n2/1143 b/n2/1143 new file mode 100644 index 00000000..e3480027 --- /dev/null +++ b/n2/1143 @@ -0,0 +1,5 @@ +81 +142 +2.0 +6607326616.519919 +1334192000.0 \ No newline at end of file diff --git a/n2/1144 b/n2/1144 new file mode 100644 index 00000000..6e00430b --- /dev/null +++ b/n2/1144 @@ -0,0 +1,5 @@ +81 +142 +2.5 +6940874616.519919 +1667740000.0 \ No newline at end of file diff --git a/n2/1145 b/n2/1145 new file mode 100644 index 00000000..07b9e751 --- /dev/null +++ b/n2/1145 @@ -0,0 +1,5 @@ +81 +142 +3.0 +7274422616.51992 +2001288000.0 \ No newline at end of file diff --git a/n2/1146 b/n2/1146 new file mode 100644 index 00000000..2ac62697 --- /dev/null +++ b/n2/1146 @@ -0,0 +1,5 @@ +81 +142 +3.5 +7607970616.51992 +2334836000.0 \ No newline at end of file diff --git a/n2/1147 b/n2/1147 new file mode 100644 index 00000000..b7f289d2 --- /dev/null +++ b/n2/1147 @@ -0,0 +1,5 @@ +81 +142 +4.0 +7941518616.51992 +2668384000.0 \ No newline at end of file diff --git a/n2/1148 b/n2/1148 new file mode 100644 index 00000000..842db5ff --- /dev/null +++ b/n2/1148 @@ -0,0 +1,5 @@ +81 +142 +4.5 +8275066616.51992 +3001932000.0 \ No newline at end of file diff --git a/n2/1149 b/n2/1149 new file mode 100644 index 00000000..36de2fb8 --- /dev/null +++ b/n2/1149 @@ -0,0 +1,5 @@ +81 +142 +5.0 +8608614616.51992 +3335480000.0 \ No newline at end of file diff --git a/n2/115 b/n2/115 new file mode 100644 index 00000000..e9175d2b --- /dev/null +++ b/n2/115 @@ -0,0 +1,5 @@ +0 +112 +3.0 +5713623375.685208 +3674496000.0 \ No newline at end of file diff --git a/n2/1150 b/n2/1150 new file mode 100644 index 00000000..5164c0f4 --- /dev/null +++ b/n2/1150 @@ -0,0 +1,5 @@ +81 +152 +0.5 +5460155834.851606 +388228000.0 \ No newline at end of file diff --git a/n2/1151 b/n2/1151 new file mode 100644 index 00000000..b2b34775 --- /dev/null +++ b/n2/1151 @@ -0,0 +1,5 @@ +81 +152 +1.0 +5748231142.285149 +776456000.0 \ No newline at end of file diff --git a/n2/1152 b/n2/1152 new file mode 100644 index 00000000..81369f06 --- /dev/null +++ b/n2/1152 @@ -0,0 +1,5 @@ +81 +152 +1.5 +6129407459.151109 +1164684000.0 \ No newline at end of file diff --git a/n2/1153 b/n2/1153 new file mode 100644 index 00000000..da0b7b18 --- /dev/null +++ b/n2/1153 @@ -0,0 +1,5 @@ +81 +152 +2.0 +6517404118.134373 +1552912000.0 \ No newline at end of file diff --git a/n2/1154 b/n2/1154 new file mode 100644 index 00000000..240e67b0 --- /dev/null +++ b/n2/1154 @@ -0,0 +1,5 @@ +81 +152 +2.5 +6905632118.134373 +1941140000.0 \ No newline at end of file diff --git a/n2/1155 b/n2/1155 new file mode 100644 index 00000000..cd0c4ecc --- /dev/null +++ b/n2/1155 @@ -0,0 +1,5 @@ +81 +152 +3.0 +7293860118.134373 +2329368000.0 \ No newline at end of file diff --git a/n2/1156 b/n2/1156 new file mode 100644 index 00000000..5a120b91 --- /dev/null +++ b/n2/1156 @@ -0,0 +1,5 @@ +81 +152 +3.5 +7682088118.134373 +2717596000.0 \ No newline at end of file diff --git a/n2/1157 b/n2/1157 new file mode 100644 index 00000000..8f72f30b --- /dev/null +++ b/n2/1157 @@ -0,0 +1,5 @@ +81 +152 +4.0 +8070316118.134373 +3105824000.0 \ No newline at end of file diff --git a/n2/1158 b/n2/1158 new file mode 100644 index 00000000..d991493c --- /dev/null +++ b/n2/1158 @@ -0,0 +1,5 @@ +81 +152 +4.5 +8458544118.134373 +3494052000.0 \ No newline at end of file diff --git a/n2/1159 b/n2/1159 new file mode 100644 index 00000000..4a415e5e --- /dev/null +++ b/n2/1159 @@ -0,0 +1,5 @@ +81 +152 +5.0 +8846772118.134373 +3882280000.0 \ No newline at end of file diff --git a/n2/116 b/n2/116 new file mode 100644 index 00000000..dc39c25d --- /dev/null +++ b/n2/116 @@ -0,0 +1,5 @@ +0 +112 +3.5 +6290018281.434074 +4286912000.0 \ No newline at end of file diff --git a/n2/1160 b/n2/1160 new file mode 100644 index 00000000..f80e59d8 --- /dev/null +++ b/n2/1160 @@ -0,0 +1,5 @@ +81 +163 +0.5 +5124507685.746983 +448376000.0 \ No newline at end of file diff --git a/n2/1161 b/n2/1161 new file mode 100644 index 00000000..85f855ba --- /dev/null +++ b/n2/1161 @@ -0,0 +1,5 @@ +81 +163 +1.0 +5385858666.061452 +896752000.0 \ No newline at end of file diff --git a/n2/1162 b/n2/1162 new file mode 100644 index 00000000..271890ea --- /dev/null +++ b/n2/1162 @@ -0,0 +1,5 @@ +81 +163 +1.5 +5731930120.626507 +1345128000.0 \ No newline at end of file diff --git a/n2/1163 b/n2/1163 new file mode 100644 index 00000000..d60f7818 --- /dev/null +++ b/n2/1163 @@ -0,0 +1,5 @@ +81 +163 +2.0 +6035841774.538127 +1793504000.0 \ No newline at end of file diff --git a/n2/1164 b/n2/1164 new file mode 100644 index 00000000..4e57d8ba --- /dev/null +++ b/n2/1164 @@ -0,0 +1,5 @@ +81 +163 +2.5 +6484217774.538127 +2241880000.0 \ No newline at end of file diff --git a/n2/1165 b/n2/1165 new file mode 100644 index 00000000..7997968b --- /dev/null +++ b/n2/1165 @@ -0,0 +1,5 @@ +81 +163 +3.0 +6932593774.538127 +2690256000.0 \ No newline at end of file diff --git a/n2/1166 b/n2/1166 new file mode 100644 index 00000000..2feaf4b2 --- /dev/null +++ b/n2/1166 @@ -0,0 +1,5 @@ +81 +163 +3.5 +7380969774.538127 +3138632000.0 \ No newline at end of file diff --git a/n2/1167 b/n2/1167 new file mode 100644 index 00000000..20022710 --- /dev/null +++ b/n2/1167 @@ -0,0 +1,5 @@ +81 +163 +4.0 +7829345774.538127 +3587008000.0 \ No newline at end of file diff --git a/n2/1168 b/n2/1168 new file mode 100644 index 00000000..cbf58f95 --- /dev/null +++ b/n2/1168 @@ -0,0 +1,5 @@ +81 +163 +4.5 +8277721774.538127 +4035384000.0 \ No newline at end of file diff --git a/n2/1169 b/n2/1169 new file mode 100644 index 00000000..abf0ec69 --- /dev/null +++ b/n2/1169 @@ -0,0 +1,5 @@ +81 +163 +5.0 +8726097774.538128 +4483760000.0 \ No newline at end of file diff --git a/n2/117 b/n2/117 new file mode 100644 index 00000000..c972c7f9 --- /dev/null +++ b/n2/117 @@ -0,0 +1,5 @@ +0 +112 +4.0 +6902434281.434074 +4899328000.0 \ No newline at end of file diff --git a/n2/1170 b/n2/1170 new file mode 100644 index 00000000..20bd97fc --- /dev/null +++ b/n2/1170 @@ -0,0 +1,5 @@ +91 +91 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1171 b/n2/1171 new file mode 100644 index 00000000..163f7b37 --- /dev/null +++ b/n2/1171 @@ -0,0 +1,5 @@ +91 +91 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1172 b/n2/1172 new file mode 100644 index 00000000..f967840b --- /dev/null +++ b/n2/1172 @@ -0,0 +1,5 @@ +91 +91 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1173 b/n2/1173 new file mode 100644 index 00000000..22953005 --- /dev/null +++ b/n2/1173 @@ -0,0 +1,5 @@ +91 +91 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1174 b/n2/1174 new file mode 100644 index 00000000..22cf7e2a --- /dev/null +++ b/n2/1174 @@ -0,0 +1,5 @@ +91 +91 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1175 b/n2/1175 new file mode 100644 index 00000000..25b6e45a --- /dev/null +++ b/n2/1175 @@ -0,0 +1,5 @@ +91 +91 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1176 b/n2/1176 new file mode 100644 index 00000000..9a368141 --- /dev/null +++ b/n2/1176 @@ -0,0 +1,5 @@ +91 +91 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1177 b/n2/1177 new file mode 100644 index 00000000..de87e3a4 --- /dev/null +++ b/n2/1177 @@ -0,0 +1,5 @@ +91 +91 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1178 b/n2/1178 new file mode 100644 index 00000000..031ab0e0 --- /dev/null +++ b/n2/1178 @@ -0,0 +1,5 @@ +91 +91 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1179 b/n2/1179 new file mode 100644 index 00000000..0759b225 --- /dev/null +++ b/n2/1179 @@ -0,0 +1,5 @@ +91 +91 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/118 b/n2/118 new file mode 100644 index 00000000..4b32937e --- /dev/null +++ b/n2/118 @@ -0,0 +1,5 @@ +0 +112 +4.5 +7514850281.434074 +5511744000.0 \ No newline at end of file diff --git a/n2/1180 b/n2/1180 new file mode 100644 index 00000000..13f67678 --- /dev/null +++ b/n2/1180 @@ -0,0 +1,5 @@ +91 +101 +0.5 +5443776337.18467 +54680000.0 \ No newline at end of file diff --git a/n2/1181 b/n2/1181 new file mode 100644 index 00000000..ad5e0049 --- /dev/null +++ b/n2/1181 @@ -0,0 +1,5 @@ +91 +101 +1.0 +5498456337.18467 +109360000.0 \ No newline at end of file diff --git a/n2/1182 b/n2/1182 new file mode 100644 index 00000000..c4fe99c1 --- /dev/null +++ b/n2/1182 @@ -0,0 +1,5 @@ +91 +101 +1.5 +5553136337.18467 +164040000.0 \ No newline at end of file diff --git a/n2/1183 b/n2/1183 new file mode 100644 index 00000000..7ec07e85 --- /dev/null +++ b/n2/1183 @@ -0,0 +1,5 @@ +91 +101 +2.0 +5607816337.18467 +218720000.0 \ No newline at end of file diff --git a/n2/1184 b/n2/1184 new file mode 100644 index 00000000..4810f64e --- /dev/null +++ b/n2/1184 @@ -0,0 +1,5 @@ +91 +101 +2.5 +5662496337.18467 +273400000.0 \ No newline at end of file diff --git a/n2/1185 b/n2/1185 new file mode 100644 index 00000000..d0dd96fe --- /dev/null +++ b/n2/1185 @@ -0,0 +1,5 @@ +91 +101 +3.0 +5717176337.18467 +328080000.0 \ No newline at end of file diff --git a/n2/1186 b/n2/1186 new file mode 100644 index 00000000..c675fe3d --- /dev/null +++ b/n2/1186 @@ -0,0 +1,5 @@ +91 +101 +3.5 +5771856337.18467 +382760000.0 \ No newline at end of file diff --git a/n2/1187 b/n2/1187 new file mode 100644 index 00000000..ac701fed --- /dev/null +++ b/n2/1187 @@ -0,0 +1,5 @@ +91 +101 +4.0 +5826536337.18467 +437440000.0 \ No newline at end of file diff --git a/n2/1188 b/n2/1188 new file mode 100644 index 00000000..1351ad51 --- /dev/null +++ b/n2/1188 @@ -0,0 +1,5 @@ +91 +101 +4.5 +5881216337.18467 +492120000.0 \ No newline at end of file diff --git a/n2/1189 b/n2/1189 new file mode 100644 index 00000000..618ef01b --- /dev/null +++ b/n2/1189 @@ -0,0 +1,5 @@ +91 +101 +5.0 +5935896337.18467 +546800000.0 \ No newline at end of file diff --git a/n2/119 b/n2/119 new file mode 100644 index 00000000..04c9dcfb --- /dev/null +++ b/n2/119 @@ -0,0 +1,5 @@ +0 +112 +5.0 +8127266281.434074 +6124160000.0 \ No newline at end of file diff --git a/n2/1190 b/n2/1190 new file mode 100644 index 00000000..b49d1be0 --- /dev/null +++ b/n2/1190 @@ -0,0 +1,5 @@ +91 +112 +0.5 +5469941112.605607 +114828000.0 \ No newline at end of file diff --git a/n2/1191 b/n2/1191 new file mode 100644 index 00000000..0977ee5e --- /dev/null +++ b/n2/1191 @@ -0,0 +1,5 @@ +91 +112 +1.0 +5584662386.351602 +229656000.0 \ No newline at end of file diff --git a/n2/1192 b/n2/1192 new file mode 100644 index 00000000..1e9dcd6f --- /dev/null +++ b/n2/1192 @@ -0,0 +1,5 @@ +91 +112 +1.5 +5699486734.435581 +344484000.0 \ No newline at end of file diff --git a/n2/1193 b/n2/1193 new file mode 100644 index 00000000..8c33f959 --- /dev/null +++ b/n2/1193 @@ -0,0 +1,5 @@ +91 +112 +2.0 +5814314734.435581 +459312000.0 \ No newline at end of file diff --git a/n2/1194 b/n2/1194 new file mode 100644 index 00000000..1ba46c87 --- /dev/null +++ b/n2/1194 @@ -0,0 +1,5 @@ +91 +112 +2.5 +5929142734.435581 +574140000.0 \ No newline at end of file diff --git a/n2/1195 b/n2/1195 new file mode 100644 index 00000000..a9a983af --- /dev/null +++ b/n2/1195 @@ -0,0 +1,5 @@ +91 +112 +3.0 +6043970734.435581 +688968000.0 \ No newline at end of file diff --git a/n2/1196 b/n2/1196 new file mode 100644 index 00000000..86f21ae6 --- /dev/null +++ b/n2/1196 @@ -0,0 +1,5 @@ +91 +112 +3.5 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No newline at end of file diff --git a/n2/1200 b/n2/1200 new file mode 100644 index 00000000..d830256b --- /dev/null +++ b/n2/1200 @@ -0,0 +1,5 @@ +91 +122 +0.5 +5522724131.336165 +169508000.0 \ No newline at end of file diff --git a/n2/1201 b/n2/1201 new file mode 100644 index 00000000..093134e1 --- /dev/null +++ b/n2/1201 @@ -0,0 +1,5 @@ +91 +122 +1.0 +5692078916.47474 +339016000.0 \ No newline at end of file diff --git a/n2/1202 b/n2/1202 new file mode 100644 index 00000000..ef3f3d2b --- /dev/null +++ b/n2/1202 @@ -0,0 +1,5 @@ +91 +122 +1.5 +5861559871.630543 +508524000.0 \ No newline at end of file diff --git a/n2/1203 b/n2/1203 new file mode 100644 index 00000000..508d24bc --- /dev/null +++ b/n2/1203 @@ -0,0 +1,5 @@ +91 +122 +2.0 +6031067871.630543 +678032000.0 \ No newline at end of file diff --git a/n2/1204 b/n2/1204 new file mode 100644 index 00000000..8f1acd39 --- /dev/null +++ b/n2/1204 @@ -0,0 +1,5 @@ +91 +122 +2.5 +6200575871.630543 +847540000.0 \ No newline at end of file diff --git a/n2/1205 b/n2/1205 new file mode 100644 index 00000000..f6723c29 --- /dev/null +++ b/n2/1205 @@ -0,0 +1,5 @@ +91 +122 +3.0 +6370083871.630543 +1017048000.0 \ No newline at end of file diff --git a/n2/1206 b/n2/1206 new file mode 100644 index 00000000..58e95abb --- /dev/null +++ b/n2/1206 @@ -0,0 +1,5 @@ +91 +122 +3.5 +6539591871.630543 +1186556000.0 \ No newline at end of file diff --git a/n2/1207 b/n2/1207 new file mode 100644 index 00000000..958ba03a --- /dev/null +++ b/n2/1207 @@ -0,0 +1,5 @@ +91 +122 +4.0 +6709099871.630543 +1356064000.0 \ No newline at end of file diff --git a/n2/1208 b/n2/1208 new file mode 100644 index 00000000..76876fd0 --- /dev/null +++ b/n2/1208 @@ -0,0 +1,5 @@ +91 +122 +4.5 +6878607871.630543 +1525572000.0 \ No newline at end of file diff --git a/n2/1209 b/n2/1209 new file mode 100644 index 00000000..2aaeb2fb --- /dev/null +++ b/n2/1209 @@ -0,0 +1,5 @@ +91 +122 +5.0 +7048115871.630543 +1695080000.0 \ No newline at end of file diff --git a/n2/121 b/n2/121 new file mode 100644 index 00000000..75dc4073 --- /dev/null +++ b/n2/121 @@ -0,0 +1,5 @@ +0 +122 +1.0 +6202623113.765278 +1334192000.0 \ No newline at end of file diff --git a/n2/1210 b/n2/1210 new file mode 100644 index 00000000..d3a76d41 --- /dev/null +++ b/n2/1210 @@ -0,0 +1,5 @@ +91 +132 +0.5 +5575472253.444484 +224188000.0 \ No newline at end of file diff --git a/n2/1211 b/n2/1211 new file mode 100644 index 00000000..074ec60d --- /dev/null +++ b/n2/1211 @@ -0,0 +1,5 @@ +91 +132 +1.0 +5799481470.827663 +448376000.0 \ No newline at end of file diff --git a/n2/1212 b/n2/1212 new file mode 100644 index 00000000..e3aac770 --- /dev/null +++ b/n2/1212 @@ -0,0 +1,5 @@ +91 +132 +1.5 +6023666120.60474 +672564000.0 \ No newline at end of file diff --git a/n2/1213 b/n2/1213 new file mode 100644 index 00000000..99605d15 --- /dev/null +++ b/n2/1213 @@ -0,0 +1,5 @@ +91 +132 +2.0 +6247854120.60474 +896752000.0 \ No newline at end of file diff --git a/n2/1214 b/n2/1214 new file mode 100644 index 00000000..1a606f9a --- /dev/null +++ b/n2/1214 @@ -0,0 +1,5 @@ +91 +132 +2.5 +6472042120.60474 +1120940000.0 \ No newline at end of file diff --git a/n2/1215 b/n2/1215 new file mode 100644 index 00000000..0341e8b3 --- /dev/null +++ b/n2/1215 @@ -0,0 +1,5 @@ +91 +132 +3.0 +6696230120.60474 +1345128000.0 \ No newline at end of file diff --git a/n2/1216 b/n2/1216 new file mode 100644 index 00000000..706cc4ca --- /dev/null +++ b/n2/1216 @@ -0,0 +1,5 @@ +91 +132 +3.5 +6920418120.60474 +1569316000.0 \ No newline at end of file diff --git a/n2/1217 b/n2/1217 new file mode 100644 index 00000000..47a4b608 --- /dev/null +++ b/n2/1217 @@ -0,0 +1,5 @@ +91 +132 +4.0 +7144606120.60474 +1793504000.0 \ No newline at end of file diff --git a/n2/1218 b/n2/1218 new file mode 100644 index 00000000..4ea02be3 --- /dev/null +++ b/n2/1218 @@ -0,0 +1,5 @@ +91 +132 +4.5 +7368794120.60474 +2017692000.0 \ No newline at end of file diff --git a/n2/1219 b/n2/1219 new file mode 100644 index 00000000..41f8b03b --- /dev/null +++ b/n2/1219 @@ -0,0 +1,5 @@ +91 +132 +5.0 +7592982120.60474 +2241880000.0 \ No newline at end of file diff --git a/n2/122 b/n2/122 new file mode 100644 index 00000000..ca58d9d3 --- /dev/null +++ b/n2/122 @@ -0,0 +1,5 @@ +0 +122 +1.5 +6038478371.723448 +2001288000.0 \ No newline at end of file diff --git a/n2/1220 b/n2/1220 new file mode 100644 index 00000000..b713fe20 --- /dev/null +++ b/n2/1220 @@ -0,0 +1,5 @@ +91 +142 +0.5 +5573524400.708982 +278868000.0 \ No newline at end of file diff --git a/n2/1221 b/n2/1221 new file mode 100644 index 00000000..0ca9c0b1 --- /dev/null +++ b/n2/1221 @@ -0,0 +1,5 @@ +91 +142 +1.0 +5841907070.572875 +557736000.0 \ No newline at end of file diff --git a/n2/1222 b/n2/1222 new file mode 100644 index 00000000..2c66f353 --- /dev/null +++ b/n2/1222 @@ -0,0 +1,5 @@ +91 +142 +1.5 +6121546614.524107 +836604000.0 \ No newline at end of file diff --git a/n2/1223 b/n2/1223 new file mode 100644 index 00000000..2f1ae9ff --- /dev/null +++ b/n2/1223 @@ -0,0 +1,5 @@ +91 +142 +2.0 +6400414614.524107 +1115472000.0 \ No newline at end of file diff --git a/n2/1224 b/n2/1224 new file mode 100644 index 00000000..1f331e2c --- /dev/null +++ b/n2/1224 @@ -0,0 +1,5 @@ +91 +142 +2.5 +6679282614.524107 +1394340000.0 \ No newline at end of file diff --git a/n2/1225 b/n2/1225 new file mode 100644 index 00000000..893a2121 --- /dev/null +++ b/n2/1225 @@ -0,0 +1,5 @@ +91 +142 +3.0 +6958150614.524107 +1673208000.0 \ No newline at end of file diff --git a/n2/1226 b/n2/1226 new file mode 100644 index 00000000..6c26e5a5 --- /dev/null +++ b/n2/1226 @@ -0,0 +1,5 @@ +91 +142 +3.5 +7237018614.524106 +1952076000.0 \ No newline at end of file diff --git a/n2/1227 b/n2/1227 new file mode 100644 index 00000000..0f09f563 --- /dev/null +++ b/n2/1227 @@ -0,0 +1,5 @@ +91 +142 +4.0 +7515886614.524106 +2230944000.0 \ No newline at end of file diff --git a/n2/1228 b/n2/1228 new file mode 100644 index 00000000..86c1c73e --- /dev/null +++ b/n2/1228 @@ -0,0 +1,5 @@ +91 +142 +4.5 +7794754614.524106 +2509812000.0 \ No newline at end of file diff --git a/n2/1229 b/n2/1229 new file mode 100644 index 00000000..955e4603 --- /dev/null +++ b/n2/1229 @@ -0,0 +1,5 @@ +91 +142 +5.0 +8073622614.524106 +2788680000.0 \ No newline at end of file diff --git a/n2/123 b/n2/123 new file mode 100644 index 00000000..4ebc05ac --- /dev/null +++ b/n2/123 @@ -0,0 +1,5 @@ +0 +122 +2.0 +4921769849.772835 +2668384000.0 \ No newline at end of file diff --git a/n2/1230 b/n2/1230 new file mode 100644 index 00000000..a03c90d1 --- /dev/null +++ b/n2/1230 @@ -0,0 +1,5 @@ +91 +152 +0.5 +5465250928.72385 +333548000.0 \ No newline at end of file diff --git a/n2/1231 b/n2/1231 new file mode 100644 index 00000000..0679f102 --- /dev/null +++ b/n2/1231 @@ -0,0 +1,5 @@ +91 +152 +1.0 +5763713803.345707 +667096000.0 \ No newline at end of file diff --git a/n2/1232 b/n2/1232 new file mode 100644 index 00000000..ff120276 --- /dev/null +++ b/n2/1232 @@ -0,0 +1,5 @@ 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+7764541489.718794 +2668384000.0 \ No newline at end of file diff --git a/n2/1238 b/n2/1238 new file mode 100644 index 00000000..f9fd08fc --- /dev/null +++ b/n2/1238 @@ -0,0 +1,5 @@ +91 +152 +4.5 +8098089489.718794 +3001932000.0 \ No newline at end of file diff --git a/n2/1239 b/n2/1239 new file mode 100644 index 00000000..e906e4d7 --- /dev/null +++ b/n2/1239 @@ -0,0 +1,5 @@ +91 +152 +5.0 +8431637489.718794 +3335480000.0 \ No newline at end of file diff --git a/n2/124 b/n2/124 new file mode 100644 index 00000000..bc9f2f0f --- /dev/null +++ b/n2/124 @@ -0,0 +1,5 @@ +0 +122 +2.5 +5208792664.385963 +3335480000.0 \ No newline at end of file diff --git a/n2/1240 b/n2/1240 new file mode 100644 index 00000000..9b4d139b --- /dev/null +++ b/n2/1240 @@ -0,0 +1,5 @@ +91 +163 +0.5 +5129389963.252466 +393696000.0 \ No newline at end of file diff --git a/n2/1241 b/n2/1241 new file mode 100644 index 00000000..f45ba048 --- /dev/null +++ b/n2/1241 @@ -0,0 +1,5 @@ +91 +163 +1.0 +5400665035.919182 +787392000.0 \ No newline at end of file diff --git a/n2/1242 b/n2/1242 new file mode 100644 index 00000000..bdd31984 --- /dev/null +++ b/n2/1242 @@ -0,0 +1,5 @@ +91 +163 +1.5 +5698443092.733302 +1181088000.0 \ No newline at end of file diff --git a/n2/1243 b/n2/1243 new file mode 100644 index 00000000..e0f85687 --- /dev/null +++ b/n2/1243 @@ -0,0 +1,5 @@ +91 +163 +2.0 +5947731058.404065 +1574784000.0 \ No newline at end of file diff --git a/n2/1244 b/n2/1244 new file mode 100644 index 00000000..64d630d2 --- /dev/null +++ b/n2/1244 @@ -0,0 +1,5 @@ +91 +163 +2.5 +6341427058.404065 +1968480000.0 \ No newline at end of file diff --git a/n2/1245 b/n2/1245 new file mode 100644 index 00000000..e263cc8a --- /dev/null +++ b/n2/1245 @@ -0,0 +1,5 @@ +91 +163 +3.0 +6735123058.404065 +2362176000.0 \ No newline at end of file diff --git a/n2/1246 b/n2/1246 new file mode 100644 index 00000000..8e499c7f --- /dev/null +++ b/n2/1246 @@ -0,0 +1,5 @@ +91 +163 +3.5 +7128819058.404065 +2755872000.0 \ No newline at end of file diff --git a/n2/1247 b/n2/1247 new file mode 100644 index 00000000..51ed745b --- /dev/null +++ b/n2/1247 @@ -0,0 +1,5 @@ +91 +163 +4.0 +7522515058.404065 +3149568000.0 \ No newline at end of file diff --git a/n2/1248 b/n2/1248 new file mode 100644 index 00000000..6e3cb7b2 --- /dev/null +++ b/n2/1248 @@ -0,0 +1,5 @@ +91 +163 +4.5 +7916211058.404065 +3543264000.0 \ No newline at end of file diff --git a/n2/1249 b/n2/1249 new file mode 100644 index 00000000..5aa8329e --- /dev/null +++ b/n2/1249 @@ -0,0 +1,5 @@ +91 +163 +5.0 +8309907058.404065 +3936960000.0 \ No newline at end of file diff --git a/n2/125 b/n2/125 new file mode 100644 index 00000000..405715cb --- /dev/null +++ b/n2/125 @@ -0,0 +1,5 @@ +0 +122 +3.0 +5774342293.122001 +4002576000.0 \ No newline at end of file diff --git a/n2/1250 b/n2/1250 new file mode 100644 index 00000000..c94e5e99 --- /dev/null +++ b/n2/1250 @@ -0,0 +1,5 @@ +101 +101 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1251 b/n2/1251 new file mode 100644 index 00000000..18ee4420 --- /dev/null +++ b/n2/1251 @@ -0,0 +1,5 @@ +101 +101 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1252 b/n2/1252 new file mode 100644 index 00000000..bc318505 --- /dev/null +++ b/n2/1252 @@ -0,0 +1,5 @@ +101 +101 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1253 b/n2/1253 new file mode 100644 index 00000000..38930999 --- /dev/null +++ b/n2/1253 @@ -0,0 +1,5 @@ +101 +101 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1254 b/n2/1254 new file mode 100644 index 00000000..b2dccd95 --- /dev/null +++ b/n2/1254 @@ -0,0 +1,5 @@ +101 +101 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1255 b/n2/1255 new file mode 100644 index 00000000..2f961a64 --- /dev/null +++ b/n2/1255 @@ -0,0 +1,5 @@ +101 +101 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1256 b/n2/1256 new file mode 100644 index 00000000..b96a3f59 --- /dev/null +++ b/n2/1256 @@ -0,0 +1,5 @@ +101 +101 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1257 b/n2/1257 new file mode 100644 index 00000000..cef72761 --- /dev/null +++ b/n2/1257 @@ -0,0 +1,5 @@ +101 +101 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1258 b/n2/1258 new file mode 100644 index 00000000..0484fd60 --- /dev/null +++ b/n2/1258 @@ -0,0 +1,5 @@ +101 +101 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1259 b/n2/1259 new file mode 100644 index 00000000..881f96d2 --- /dev/null +++ b/n2/1259 @@ -0,0 +1,5 @@ +101 +101 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/126 b/n2/126 new file mode 100644 index 00000000..21ada1d7 --- /dev/null +++ b/n2/126 @@ -0,0 +1,5 @@ +0 +122 +3.5 +6287531546.422626 +4669672000.0 \ No newline at end of file diff --git a/n2/1260 b/n2/1260 new file mode 100644 index 00000000..b71d06db --- /dev/null +++ b/n2/1260 @@ -0,0 +1,5 @@ +101 +112 +0.5 +5415261112.605607 +60148000.0 \ No newline at end of file diff --git a/n2/1261 b/n2/1261 new file mode 100644 index 00000000..33efd4c2 --- /dev/null +++ b/n2/1261 @@ -0,0 +1,5 @@ +101 +112 +1.0 +5475302386.351602 +120296000.0 \ No newline at end of file diff --git a/n2/1262 b/n2/1262 new file mode 100644 index 00000000..be0c0d58 --- /dev/null +++ b/n2/1262 @@ -0,0 +1,5 @@ +101 +112 +1.5 +5535446734.435581 +180444000.0 \ No newline at end of file diff --git a/n2/1263 b/n2/1263 new file mode 100644 index 00000000..bc0b2544 --- /dev/null +++ b/n2/1263 @@ -0,0 +1,5 @@ +101 +112 +2.0 +5595594734.435581 +240592000.0 \ No newline at end of file diff --git a/n2/1264 b/n2/1264 new file mode 100644 index 00000000..07ffdcb2 --- /dev/null +++ b/n2/1264 @@ -0,0 +1,5 @@ +101 +112 +2.5 +5655742734.435581 +300740000.0 \ No newline at end of file diff --git a/n2/1265 b/n2/1265 new file mode 100644 index 00000000..dced740f --- /dev/null +++ b/n2/1265 @@ -0,0 +1,5 @@ +101 +112 +3.0 +5715890734.435581 +360888000.0 \ No newline at end of file diff --git a/n2/1266 b/n2/1266 new file mode 100644 index 00000000..485a7738 --- /dev/null +++ b/n2/1266 @@ -0,0 +1,5 @@ +101 +112 +3.5 +5776038734.435581 +421036000.0 \ No newline at end of file diff --git a/n2/1267 b/n2/1267 new file mode 100644 index 00000000..af85a1bb --- /dev/null +++ b/n2/1267 @@ -0,0 +1,5 @@ +101 +112 +4.0 +5836186734.435581 +481184000.0 \ No newline at end of file diff --git a/n2/1268 b/n2/1268 new file mode 100644 index 00000000..e6d43126 --- /dev/null +++ b/n2/1268 @@ -0,0 +1,5 @@ +101 +112 +4.5 +5896334734.435581 +541332000.0 \ No newline at end of file diff --git a/n2/1269 b/n2/1269 new file mode 100644 index 00000000..3114e9fb --- /dev/null +++ b/n2/1269 @@ -0,0 +1,5 @@ +101 +112 +5.0 +5956482734.435581 +601480000.0 \ No newline at end of file diff --git a/n2/127 b/n2/127 new file mode 100644 index 00000000..6ab26df4 --- /dev/null +++ b/n2/127 @@ -0,0 +1,5 @@ +0 +122 +4.0 +6954627546.422626 +5336768000.0 \ No newline at end of file diff --git a/n2/1270 b/n2/1270 new file mode 100644 index 00000000..310cad49 --- /dev/null +++ b/n2/1270 @@ -0,0 +1,5 @@ +101 +122 +0.5 +5468044131.336165 +114828000.0 \ No newline at end of file diff --git a/n2/1271 b/n2/1271 new file mode 100644 index 00000000..4909ef9e --- /dev/null +++ b/n2/1271 @@ -0,0 +1,5 @@ +101 +122 +1.0 +5582718916.47474 +229656000.0 \ No newline at end of file diff --git a/n2/1272 b/n2/1272 new file mode 100644 index 00000000..e9626d31 --- /dev/null +++ b/n2/1272 @@ -0,0 +1,5 @@ +101 +122 +1.5 +5697519871.630543 +344484000.0 \ No newline at end of file diff --git a/n2/1273 b/n2/1273 new file mode 100644 index 00000000..f5a21b8a --- /dev/null +++ b/n2/1273 @@ -0,0 +1,5 @@ +101 +122 +2.0 +5812347871.630543 +459312000.0 \ No newline at end of file diff --git a/n2/1274 b/n2/1274 new file mode 100644 index 00000000..6743351a --- /dev/null +++ b/n2/1274 @@ -0,0 +1,5 @@ +101 +122 +2.5 +5927175871.630543 +574140000.0 \ No newline at end of file diff --git a/n2/1275 b/n2/1275 new file mode 100644 index 00000000..3f3d9146 --- /dev/null +++ b/n2/1275 @@ -0,0 +1,5 @@ +101 +122 +3.0 +6042003871.630543 +688968000.0 \ No newline at end of file diff --git a/n2/1276 b/n2/1276 new file mode 100644 index 00000000..3defac14 --- /dev/null +++ b/n2/1276 @@ -0,0 +1,5 @@ +101 +122 +3.5 +6156831871.630543 +803796000.0 \ No newline at end of file diff --git a/n2/1277 b/n2/1277 new file mode 100644 index 00000000..f227b84b --- /dev/null +++ b/n2/1277 @@ -0,0 +1,5 @@ +101 +122 +4.0 +6271659871.630543 +918624000.0 \ No newline at end of file diff --git a/n2/1278 b/n2/1278 new file mode 100644 index 00000000..6c0ddbf0 --- /dev/null +++ b/n2/1278 @@ -0,0 +1,5 @@ +101 +122 +4.5 +6386487871.630543 +1033452000.0 \ No newline at end of file diff --git a/n2/1279 b/n2/1279 new file mode 100644 index 00000000..14252f15 --- /dev/null +++ b/n2/1279 @@ -0,0 +1,5 @@ +101 +122 +5.0 +6501315871.630543 +1148280000.0 \ No newline at end of file diff --git a/n2/128 b/n2/128 new file mode 100644 index 00000000..d55aabbb --- /dev/null +++ b/n2/128 @@ -0,0 +1,5 @@ +0 +122 +4.5 +7621723546.422626 +6003864000.0 \ No newline at end of file diff --git a/n2/1280 b/n2/1280 new file mode 100644 index 00000000..29e87051 --- /dev/null +++ b/n2/1280 @@ -0,0 +1,5 @@ +101 +132 +0.5 +5520792253.444484 +169508000.0 \ No newline at end of file diff --git a/n2/1281 b/n2/1281 new file mode 100644 index 00000000..718b4ee6 --- /dev/null +++ b/n2/1281 @@ -0,0 +1,5 @@ +101 +132 +1.0 +5690121470.827663 +339016000.0 \ No newline at end of file diff --git a/n2/1282 b/n2/1282 new file mode 100644 index 00000000..80cc7a34 --- /dev/null +++ b/n2/1282 @@ -0,0 +1,5 @@ +101 +132 +1.5 +5859626120.60474 +508524000.0 \ No newline at end of file diff --git a/n2/1283 b/n2/1283 new file mode 100644 index 00000000..42375fca --- /dev/null +++ b/n2/1283 @@ -0,0 +1,5 @@ +101 +132 +2.0 +6029134120.60474 +678032000.0 \ No newline at end of file diff --git a/n2/1284 b/n2/1284 new file mode 100644 index 00000000..05f6565f --- /dev/null +++ b/n2/1284 @@ -0,0 +1,5 @@ +101 +132 +2.5 +6198642120.60474 +847540000.0 \ No newline at end of file diff --git a/n2/1285 b/n2/1285 new file mode 100644 index 00000000..a812a92d --- /dev/null +++ b/n2/1285 @@ -0,0 +1,5 @@ +101 +132 +3.0 +6368150120.60474 +1017048000.0 \ No newline at end of file diff --git a/n2/1286 b/n2/1286 new file mode 100644 index 00000000..2bf8552e --- /dev/null +++ b/n2/1286 @@ -0,0 +1,5 @@ +101 +132 +3.5 +6537658120.60474 +1186556000.0 \ No newline at end of file diff --git a/n2/1287 b/n2/1287 new file mode 100644 index 00000000..a22bc36d --- /dev/null +++ b/n2/1287 @@ -0,0 +1,5 @@ +101 +132 +4.0 +6707166120.60474 +1356064000.0 \ No newline at end of file diff --git a/n2/1288 b/n2/1288 new file mode 100644 index 00000000..ef6970a2 --- /dev/null +++ b/n2/1288 @@ -0,0 +1,5 @@ +101 +132 +4.5 +6876674120.60474 +1525572000.0 \ No newline at end of file diff --git a/n2/1289 b/n2/1289 new file mode 100644 index 00000000..0bef4665 --- /dev/null +++ b/n2/1289 @@ -0,0 +1,5 @@ +101 +132 +5.0 +7046182120.60474 +1695080000.0 \ No newline at end of file diff --git a/n2/129 b/n2/129 new file mode 100644 index 00000000..357256a5 --- /dev/null +++ b/n2/129 @@ -0,0 +1,5 @@ +0 +122 +5.0 +8288819546.422626 +6670960000.0 \ No newline at end of file diff --git a/n2/1290 b/n2/1290 new file mode 100644 index 00000000..6675fd7d --- /dev/null +++ b/n2/1290 @@ -0,0 +1,5 @@ +101 +142 +0.5 +5518844400.708982 +224188000.0 \ No newline at end of file diff --git a/n2/1291 b/n2/1291 new file mode 100644 index 00000000..49b9d51a --- /dev/null +++ b/n2/1291 @@ -0,0 +1,5 @@ +101 +142 +1.0 +5732547070.572875 +448376000.0 \ No newline at end of file diff --git a/n2/1292 b/n2/1292 new file mode 100644 index 00000000..13cf1cac --- /dev/null +++ b/n2/1292 @@ -0,0 +1,5 @@ +101 +142 +1.5 +5957506614.524107 +672564000.0 \ No newline at end of file diff --git a/n2/1293 b/n2/1293 new file mode 100644 index 00000000..3f952bda --- /dev/null +++ b/n2/1293 @@ -0,0 +1,5 @@ +101 +142 +2.0 +6181694614.524107 +896752000.0 \ No newline at end of file diff --git a/n2/1294 b/n2/1294 new file mode 100644 index 00000000..b7feb359 --- /dev/null +++ b/n2/1294 @@ -0,0 +1,5 @@ +101 +142 +2.5 +6405882614.524107 +1120940000.0 \ No newline at end of file diff --git a/n2/1295 b/n2/1295 new file mode 100644 index 00000000..78be8f93 --- /dev/null +++ b/n2/1295 @@ -0,0 +1,5 @@ +101 +142 +3.0 +6630070614.524107 +1345128000.0 \ No newline at end of file diff --git a/n2/1296 b/n2/1296 new file mode 100644 index 00000000..8cb32f5c --- /dev/null +++ b/n2/1296 @@ -0,0 +1,5 @@ +101 +142 +3.5 +6854258614.524107 +1569316000.0 \ No newline at end of file diff --git a/n2/1297 b/n2/1297 new file mode 100644 index 00000000..c01ec79c --- /dev/null +++ b/n2/1297 @@ -0,0 +1,5 @@ +101 +142 +4.0 +7078446614.524107 +1793504000.0 \ No newline at end of file diff --git a/n2/1298 b/n2/1298 new file mode 100644 index 00000000..b6ab8e88 --- /dev/null +++ b/n2/1298 @@ -0,0 +1,5 @@ +101 +142 +4.5 +7302634614.524106 +2017692000.0 \ No newline at end of file diff --git a/n2/1299 b/n2/1299 new file mode 100644 index 00000000..de1234d7 --- /dev/null +++ b/n2/1299 @@ -0,0 +1,5 @@ +101 +142 +5.0 +7526822614.524106 +2241880000.0 \ No newline at end of file diff --git a/n2/13 b/n2/13 new file mode 100644 index 00000000..cde635b2 --- /dev/null +++ b/n2/13 @@ -0,0 +1,5 @@ +0 +10 +2.0 +5543338749.898781 +218720000.0 \ No newline at end of file diff --git a/n2/130 b/n2/130 new file mode 100644 index 00000000..76365839 --- /dev/null +++ b/n2/130 @@ -0,0 +1,5 @@ +0 +132 +0.5 +5899530342.402476 +721776000.0 \ No newline at end of file diff --git a/n2/1300 b/n2/1300 new file mode 100644 index 00000000..007be50a --- /dev/null +++ b/n2/1300 @@ -0,0 +1,5 @@ +101 +152 +0.5 +5410570928.72385 +278868000.0 \ No newline at end of file diff --git a/n2/1301 b/n2/1301 new file mode 100644 index 00000000..3d0ceb7e --- /dev/null +++ b/n2/1301 @@ -0,0 +1,5 @@ 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+7048244846.092631 +1952076000.0 \ No newline at end of file diff --git a/n2/1307 b/n2/1307 new file mode 100644 index 00000000..c75e0e31 --- /dev/null +++ b/n2/1307 @@ -0,0 +1,5 @@ +101 +152 +4.0 +7327112846.092631 +2230944000.0 \ No newline at end of file diff --git a/n2/1308 b/n2/1308 new file mode 100644 index 00000000..b4b45fb1 --- /dev/null +++ b/n2/1308 @@ -0,0 +1,5 @@ +101 +152 +4.5 +7605980846.092631 +2509812000.0 \ No newline at end of file diff --git a/n2/1309 b/n2/1309 new file mode 100644 index 00000000..00a5d5cc --- /dev/null +++ b/n2/1309 @@ -0,0 +1,5 @@ +101 +152 +5.0 +7884848846.092631 +2788680000.0 \ No newline at end of file diff --git a/n2/131 b/n2/131 new file mode 100644 index 00000000..8412600c --- /dev/null +++ b/n2/131 @@ -0,0 +1,5 @@ +0 +132 +1.0 +6304245251.127467 +1443552000.0 \ No newline at end of file diff --git a/n2/1310 b/n2/1310 new file mode 100644 index 00000000..e6067982 --- /dev/null +++ b/n2/1310 @@ -0,0 +1,5 @@ +101 +163 +0.5 +5074709963.252466 +339016000.0 \ No newline at end of file diff --git a/n2/1311 b/n2/1311 new file mode 100644 index 00000000..cedac43b --- /dev/null +++ b/n2/1311 @@ -0,0 +1,5 @@ +101 +163 +1.0 +5291353063.326572 +678032000.0 \ No newline at end of file diff --git a/n2/1312 b/n2/1312 new file mode 100644 index 00000000..aa6897f7 --- /dev/null +++ b/n2/1312 @@ -0,0 +1,5 @@ +101 +163 +1.5 +5534428221.695768 +1017048000.0 \ No newline at end of file diff --git a/n2/1313 b/n2/1313 new file mode 100644 index 00000000..f4884c86 --- /dev/null +++ b/n2/1313 @@ -0,0 +1,5 @@ +101 +163 +2.0 +5729090934.485419 +1356064000.0 \ No newline at end of file diff --git a/n2/1314 b/n2/1314 new file mode 100644 index 00000000..be22841b --- /dev/null +++ b/n2/1314 @@ -0,0 +1,5 @@ +101 +163 +2.5 +6068106934.485419 +1695080000.0 \ No newline at end of file diff --git a/n2/1315 b/n2/1315 new file mode 100644 index 00000000..385539bd --- /dev/null +++ b/n2/1315 @@ -0,0 +1,5 @@ +101 +163 +3.0 +6407122934.485419 +2034096000.0 \ No newline at end of file diff --git a/n2/1316 b/n2/1316 new file mode 100644 index 00000000..44e1298d --- /dev/null +++ b/n2/1316 @@ -0,0 +1,5 @@ +101 +163 +3.5 +6746138934.485419 +2373112000.0 \ No newline at end of file diff --git a/n2/1317 b/n2/1317 new file mode 100644 index 00000000..99e5cbb2 --- /dev/null +++ b/n2/1317 @@ -0,0 +1,5 @@ +101 +163 +4.0 +7085154934.485419 +2712128000.0 \ No newline at end of file diff --git a/n2/1318 b/n2/1318 new file mode 100644 index 00000000..7a8907a8 --- /dev/null +++ b/n2/1318 @@ -0,0 +1,5 @@ +101 +163 +4.5 +7424170934.485419 +3051144000.0 \ No newline at end of file diff --git a/n2/1319 b/n2/1319 new file mode 100644 index 00000000..30d65650 --- /dev/null +++ b/n2/1319 @@ -0,0 +1,5 @@ +101 +163 +5.0 +7763186934.485419 +3390160000.0 \ No newline at end of file diff --git a/n2/132 b/n2/132 new file mode 100644 index 00000000..b2d0fc7f --- /dev/null +++ b/n2/132 @@ -0,0 +1,5 @@ +0 +132 +1.5 +6192031824.7175455 +2165328000.0 \ No newline at end of file diff --git a/n2/1320 b/n2/1320 new file mode 100644 index 00000000..8044eb7b --- /dev/null +++ b/n2/1320 @@ -0,0 +1,5 @@ +112 +112 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1321 b/n2/1321 new file mode 100644 index 00000000..62272a9d --- /dev/null +++ b/n2/1321 @@ -0,0 +1,5 @@ +112 +112 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1322 b/n2/1322 new file mode 100644 index 00000000..56e916fb --- /dev/null +++ b/n2/1322 @@ -0,0 +1,5 @@ +112 +112 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1323 b/n2/1323 new file mode 100644 index 00000000..0d3f990c --- /dev/null +++ b/n2/1323 @@ -0,0 +1,5 @@ +112 +112 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1324 b/n2/1324 new file mode 100644 index 00000000..ed26e69b --- /dev/null +++ b/n2/1324 @@ -0,0 +1,5 @@ +112 +112 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1325 b/n2/1325 new file mode 100644 index 00000000..1543764e --- /dev/null +++ b/n2/1325 @@ -0,0 +1,5 @@ +112 +112 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1326 b/n2/1326 new file mode 100644 index 00000000..acdf9ce6 --- /dev/null +++ b/n2/1326 @@ -0,0 +1,5 @@ +112 +112 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1327 b/n2/1327 new file mode 100644 index 00000000..182d1cac --- /dev/null +++ b/n2/1327 @@ -0,0 +1,5 @@ +112 +112 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1328 b/n2/1328 new file mode 100644 index 00000000..00a371e4 --- /dev/null +++ b/n2/1328 @@ -0,0 +1,5 @@ +112 +112 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1329 b/n2/1329 new file mode 100644 index 00000000..0de09d79 --- /dev/null +++ b/n2/1329 @@ -0,0 +1,5 @@ +112 +112 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/133 b/n2/133 new file mode 100644 index 00000000..3a83f3df --- /dev/null +++ b/n2/133 @@ -0,0 +1,5 @@ +0 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+5660653328.000369 +273400000.0 \ No newline at end of file diff --git a/n2/1335 b/n2/1335 new file mode 100644 index 00000000..8efff73b --- /dev/null +++ b/n2/1335 @@ -0,0 +1,5 @@ +112 +122 +3.0 +5715333328.000369 +328080000.0 \ No newline at end of file diff --git a/n2/1336 b/n2/1336 new file mode 100644 index 00000000..2874c0ac --- /dev/null +++ b/n2/1336 @@ -0,0 +1,5 @@ +112 +122 +3.5 +5770013328.000369 +382760000.0 \ No newline at end of file diff --git a/n2/1337 b/n2/1337 new file mode 100644 index 00000000..230c0bf1 --- /dev/null +++ b/n2/1337 @@ -0,0 +1,5 @@ +112 +122 +4.0 +5824693328.000369 +437440000.0 \ No newline at end of file diff --git a/n2/1338 b/n2/1338 new file mode 100644 index 00000000..dccd2333 --- /dev/null +++ b/n2/1338 @@ -0,0 +1,5 @@ +112 +122 +4.5 +5879373328.000369 +492120000.0 \ No newline at end of file diff --git a/n2/1339 b/n2/1339 new file mode 100644 index 00000000..7250443b --- /dev/null +++ b/n2/1339 @@ -0,0 +1,5 @@ +112 +122 +5.0 +5934053328.000369 +546800000.0 \ No newline at end of file diff --git a/n2/134 b/n2/134 new file mode 100644 index 00000000..284121a7 --- /dev/null +++ b/n2/134 @@ -0,0 +1,5 @@ +0 +132 +2.5 +5453770849.494801 +3608880000.0 \ No newline at end of file diff --git a/n2/1340 b/n2/1340 new file mode 100644 index 00000000..45bb0706 --- /dev/null +++ b/n2/1340 @@ -0,0 +1,5 @@ +112 +132 +0.5 +5495015847.118484 +109360000.0 \ No newline at end of file diff --git a/n2/1341 b/n2/1341 new file mode 100644 index 00000000..7b564d57 --- /dev/null +++ b/n2/1341 @@ -0,0 +1,5 @@ +112 +132 +1.0 +5604374198.144024 +218720000.0 \ No newline at end of file diff --git a/n2/1342 b/n2/1342 new file mode 100644 index 00000000..934639f7 --- /dev/null +++ b/n2/1342 @@ -0,0 +1,5 @@ +112 +132 +1.5 +5713734198.144024 +328080000.0 \ No newline at end of file diff --git a/n2/1343 b/n2/1343 new file mode 100644 index 00000000..44f7811a --- /dev/null +++ b/n2/1343 @@ -0,0 +1,5 @@ +112 +132 +2.0 +5823094198.144024 +437440000.0 \ No newline at end of file diff --git a/n2/1344 b/n2/1344 new file mode 100644 index 00000000..4de3371b --- /dev/null +++ b/n2/1344 @@ -0,0 +1,5 @@ +112 +132 +2.5 +5932454198.144024 +546800000.0 \ No newline at end of file diff --git a/n2/1345 b/n2/1345 new file mode 100644 index 00000000..af6bc5eb --- /dev/null +++ b/n2/1345 @@ -0,0 +1,5 @@ +112 +132 +3.0 +6041814198.144024 +656160000.0 \ No newline at end of file diff --git a/n2/1346 b/n2/1346 new file mode 100644 index 00000000..7536fd9f --- /dev/null +++ b/n2/1346 @@ -0,0 +1,5 @@ +112 +132 +3.5 +6151174198.144024 +765520000.0 \ No newline at end of file diff --git a/n2/1347 b/n2/1347 new file mode 100644 index 00000000..b9d0c3aa --- /dev/null +++ b/n2/1347 @@ -0,0 +1,5 @@ +112 +132 +4.0 +6260534198.144024 +874880000.0 \ No newline at end of file diff --git a/n2/1348 b/n2/1348 new file mode 100644 index 00000000..47ffd469 --- /dev/null +++ b/n2/1348 @@ -0,0 +1,5 @@ +112 +132 +4.5 +6369894198.144024 +984240000.0 \ No newline at end of file diff --git a/n2/1349 b/n2/1349 new file mode 100644 index 00000000..7604b0d4 --- /dev/null +++ b/n2/1349 @@ -0,0 +1,5 @@ +112 +132 +5.0 +6479254198.144024 +1093600000.0 \ No newline at end of file diff --git a/n2/135 b/n2/135 new file mode 100644 index 00000000..c49d783a --- /dev/null +++ b/n2/135 @@ -0,0 +1,5 @@ +0 +132 +3.0 +6068908767.872963 +4330656000.0 \ No newline at end of file diff --git a/n2/1350 b/n2/1350 new file mode 100644 index 00000000..3a1603e7 --- /dev/null +++ b/n2/1350 @@ -0,0 +1,5 @@ +112 +142 +0.5 +5502225436.0419855 +164040000.0 \ No newline at end of file diff --git a/n2/1351 b/n2/1351 new file mode 100644 index 00000000..4120cf79 --- /dev/null +++ b/n2/1351 @@ -0,0 +1,5 @@ +112 +142 +1.0 +5659022919.006827 +328080000.0 \ No newline at end of file diff --git a/n2/1352 b/n2/1352 new file mode 100644 index 00000000..db924c34 --- /dev/null +++ b/n2/1352 @@ -0,0 +1,5 @@ +112 +142 +1.5 +5823058720.165182 +492120000.0 \ No newline at end of file diff --git a/n2/1353 b/n2/1353 new file mode 100644 index 00000000..19f06b42 --- /dev/null +++ b/n2/1353 @@ -0,0 +1,5 @@ +112 +142 +2.0 +5987098720.165182 +656160000.0 \ No newline at end of file diff --git a/n2/1354 b/n2/1354 new file mode 100644 index 00000000..dbb41b0d --- /dev/null +++ b/n2/1354 @@ -0,0 +1,5 @@ +112 +142 +2.5 +6151138720.165182 +820200000.0 \ No newline at end of file diff --git a/n2/1355 b/n2/1355 new file mode 100644 index 00000000..b7694d02 --- /dev/null +++ b/n2/1355 @@ -0,0 +1,5 @@ +112 +142 +3.0 +6315178720.165182 +984240000.0 \ No newline at end of file diff --git a/n2/1356 b/n2/1356 new file mode 100644 index 00000000..0215ada7 --- /dev/null +++ b/n2/1356 @@ -0,0 +1,5 @@ +112 +142 +3.5 +6479218720.165182 +1148280000.0 \ No newline at end of file diff --git a/n2/1357 b/n2/1357 new file mode 100644 index 00000000..0e08b32a --- /dev/null +++ b/n2/1357 @@ -0,0 +1,5 @@ +112 +142 +4.0 +6643258720.165182 +1312320000.0 \ No newline at end of file diff --git a/n2/1358 b/n2/1358 new file mode 100644 index 00000000..bc34ce2d --- /dev/null +++ b/n2/1358 @@ -0,0 +1,5 @@ +112 +142 +4.5 +6807298720.165182 +1476360000.0 \ No newline at end of file diff --git a/n2/1359 b/n2/1359 new file mode 100644 index 00000000..6626989e --- /dev/null +++ b/n2/1359 @@ -0,0 +1,5 @@ +112 +142 +5.0 +6971338720.165182 +1640400000.0 \ No newline at end of file diff --git a/n2/136 b/n2/136 new file mode 100644 index 00000000..41778887 --- /dev/null +++ b/n2/136 @@ -0,0 +1,5 @@ +0 +132 +3.5 +6636262091.319524 +5052432000.0 \ No newline at end of file diff --git a/n2/1360 b/n2/1360 new file mode 100644 index 00000000..c9c4167d --- /dev/null +++ b/n2/1360 @@ -0,0 +1,5 @@ +112 +152 +0.5 +5423667623.555422 +218720000.0 \ No newline at end of file diff --git a/n2/1361 b/n2/1361 new file mode 100644 index 00000000..0f196f04 --- /dev/null +++ b/n2/1361 @@ -0,0 +1,5 @@ +112 +152 +1.0 +5616028205.981189 +437440000.0 \ No newline at end of file diff --git a/n2/1362 b/n2/1362 new file mode 100644 index 00000000..aa8439fc --- /dev/null +++ b/n2/1362 @@ -0,0 +1,5 @@ +112 +152 +1.5 +5834633361.776984 +656160000.0 \ No newline at end of file diff --git a/n2/1363 b/n2/1363 new file mode 100644 index 00000000..77631ff3 --- /dev/null +++ b/n2/1363 @@ -0,0 +1,5 @@ +112 +152 +2.0 +6053353361.776984 +874880000.0 \ No newline at end of file diff --git a/n2/1364 b/n2/1364 new file mode 100644 index 00000000..87fef1e0 --- /dev/null +++ b/n2/1364 @@ -0,0 +1,5 @@ +112 +152 +2.5 +6272073361.776984 +1093600000.0 \ No newline at end of file diff --git a/n2/1365 b/n2/1365 new file mode 100644 index 00000000..e0a7eeb8 --- /dev/null +++ b/n2/1365 @@ -0,0 +1,5 @@ +112 +152 +3.0 +6490793361.776984 +1312320000.0 \ No newline at end of file diff --git a/n2/1366 b/n2/1366 new file mode 100644 index 00000000..5e6e4e68 --- /dev/null +++ b/n2/1366 @@ -0,0 +1,5 @@ +112 +152 +3.5 +6709513361.776984 +1531040000.0 \ No newline at end of file diff --git a/n2/1367 b/n2/1367 new file mode 100644 index 00000000..2695c42b --- /dev/null +++ b/n2/1367 @@ -0,0 +1,5 @@ +112 +152 +4.0 +6928233361.776984 +1749760000.0 \ No newline at end of file diff --git a/n2/1368 b/n2/1368 new file mode 100644 index 00000000..17bb3226 --- /dev/null +++ b/n2/1368 @@ -0,0 +1,5 @@ +112 +152 +4.5 +7146953361.776984 +1968480000.0 \ No newline at end of file diff --git a/n2/1369 b/n2/1369 new file mode 100644 index 00000000..b85868b5 --- /dev/null +++ b/n2/1369 @@ -0,0 +1,5 @@ +112 +152 +5.0 +7365673361.776984 +2187200000.0 \ No newline at end of file diff --git a/n2/137 b/n2/137 new file mode 100644 index 00000000..1d449479 --- /dev/null +++ b/n2/137 @@ -0,0 +1,5 @@ +0 +132 +4.0 +7358038091.319524 +5774208000.0 \ No newline at end of file diff --git a/n2/1370 b/n2/1370 new file mode 100644 index 00000000..3f7c2ed9 --- /dev/null +++ b/n2/1370 @@ -0,0 +1,5 @@ +112 +163 +0.5 +5135144896.235181 +278868000.0 \ No newline at end of file diff --git a/n2/1371 b/n2/1371 new file mode 100644 index 00000000..f4ff1502 --- /dev/null +++ b/n2/1371 @@ -0,0 +1,5 @@ +112 +163 +1.0 +5341506963.919367 +557736000.0 \ No newline at end of file diff --git a/n2/1372 b/n2/1372 new file mode 100644 index 00000000..90b1b86b --- /dev/null +++ b/n2/1372 @@ -0,0 +1,5 @@ +112 +163 +1.5 +5535509912.954317 +836604000.0 \ No newline at end of file diff --git a/n2/1373 b/n2/1373 new file mode 100644 index 00000000..aac064eb --- /dev/null +++ b/n2/1373 @@ -0,0 +1,5 @@ +112 +163 +2.0 +5671554880.150224 +1115472000.0 \ No newline at end of file diff --git a/n2/1374 b/n2/1374 new file mode 100644 index 00000000..e210ba6b --- /dev/null +++ b/n2/1374 @@ -0,0 +1,5 @@ +112 +163 +2.5 +5950422880.150224 +1394340000.0 \ No newline at end of file diff --git a/n2/1375 b/n2/1375 new file mode 100644 index 00000000..0c20c633 --- /dev/null +++ b/n2/1375 @@ -0,0 +1,5 @@ +112 +163 +3.0 +6229290880.150224 +1673208000.0 \ No newline at end of file diff --git a/n2/1376 b/n2/1376 new file mode 100644 index 00000000..5d0d126a --- /dev/null +++ b/n2/1376 @@ -0,0 +1,5 @@ +112 +163 +3.5 +6508158880.150224 +1952076000.0 \ No newline at end of file diff --git a/n2/1377 b/n2/1377 new file mode 100644 index 00000000..95c06213 --- /dev/null +++ b/n2/1377 @@ -0,0 +1,5 @@ +112 +163 +4.0 +6787026880.150224 +2230944000.0 \ No newline at end of file diff --git a/n2/1378 b/n2/1378 new file mode 100644 index 00000000..bb061d1e --- /dev/null +++ b/n2/1378 @@ -0,0 +1,5 @@ +112 +163 +4.5 +7065894880.150224 +2509812000.0 \ No newline at end of file diff --git a/n2/1379 b/n2/1379 new file mode 100644 index 00000000..ff4a3e12 --- /dev/null +++ b/n2/1379 @@ -0,0 +1,5 @@ +112 +163 +5.0 +7344762880.150224 +2788680000.0 \ No newline at end of file diff --git a/n2/138 b/n2/138 new file mode 100644 index 00000000..0aba88f6 --- /dev/null +++ b/n2/138 @@ -0,0 +1,5 @@ +0 +132 +4.5 +8079814091.319524 +6495984000.0 \ No newline at end of file diff --git a/n2/1380 b/n2/1380 new file mode 100644 index 00000000..207b8b7e --- /dev/null +++ b/n2/1380 @@ -0,0 +1,5 @@ +122 +122 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1381 b/n2/1381 new file mode 100644 index 00000000..14e153c9 --- /dev/null +++ b/n2/1381 @@ -0,0 +1,5 @@ +122 +122 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1382 b/n2/1382 new file mode 100644 index 00000000..437ae61c --- /dev/null +++ b/n2/1382 @@ -0,0 +1,5 @@ +122 +122 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1383 b/n2/1383 new file mode 100644 index 00000000..2170542a --- /dev/null +++ b/n2/1383 @@ -0,0 +1,5 @@ +122 +122 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1384 b/n2/1384 new file mode 100644 index 00000000..2788ac36 --- /dev/null +++ b/n2/1384 @@ -0,0 +1,5 @@ +122 +122 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1385 b/n2/1385 new file mode 100644 index 00000000..3ffb34a4 --- /dev/null +++ b/n2/1385 @@ -0,0 +1,5 @@ +122 +122 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1386 b/n2/1386 new file mode 100644 index 00000000..8f9bcd3f --- /dev/null +++ b/n2/1386 @@ -0,0 +1,5 @@ +122 +122 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1387 b/n2/1387 new file mode 100644 index 00000000..1a803176 --- /dev/null +++ b/n2/1387 @@ -0,0 +1,5 @@ +122 +122 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1388 b/n2/1388 new file mode 100644 index 00000000..f3e67faf --- /dev/null +++ b/n2/1388 @@ -0,0 +1,5 @@ +122 +122 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1389 b/n2/1389 new file mode 100644 index 00000000..7bccee8d --- /dev/null +++ b/n2/1389 @@ -0,0 +1,5 @@ +122 +122 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/139 b/n2/139 new file mode 100644 index 00000000..19e6d66a --- /dev/null +++ b/n2/139 @@ -0,0 +1,5 @@ +0 +132 +5.0 +8801590091.319523 +7217760000.0 \ No newline at end of file diff --git a/n2/1390 b/n2/1390 new file mode 100644 index 00000000..0b800be5 --- /dev/null +++ b/n2/1390 @@ -0,0 +1,5 @@ +122 +132 +0.5 +5441984245.781963 +54680000.0 \ No newline at end of file diff --git a/n2/1391 b/n2/1391 new file mode 100644 index 00000000..18a5e99d --- /dev/null +++ b/n2/1391 @@ -0,0 +1,5 @@ +122 +132 +1.0 +5496664245.781963 +109360000.0 \ No newline at end of file diff --git a/n2/1392 b/n2/1392 new file mode 100644 index 00000000..01c121f0 --- /dev/null +++ b/n2/1392 @@ -0,0 +1,5 @@ +122 +132 +1.5 +5551344245.781963 +164040000.0 \ No newline at end of file diff --git a/n2/1393 b/n2/1393 new file mode 100644 index 00000000..58e75d5b --- /dev/null +++ b/n2/1393 @@ -0,0 +1,5 @@ +122 +132 +2.0 +5606024245.781963 +218720000.0 \ No newline at end of file diff --git a/n2/1394 b/n2/1394 new file mode 100644 index 00000000..e2879e16 --- /dev/null +++ b/n2/1394 @@ -0,0 +1,5 @@ +122 +132 +2.5 +5660704245.781963 +273400000.0 \ No newline at end of file diff --git a/n2/1395 b/n2/1395 new file mode 100644 index 00000000..e979ced9 --- /dev/null +++ b/n2/1395 @@ -0,0 +1,5 @@ +122 +132 +3.0 +5715384245.781963 +328080000.0 \ No newline at end of file diff --git a/n2/1396 b/n2/1396 new file mode 100644 index 00000000..cde998fa --- /dev/null +++ b/n2/1396 @@ -0,0 +1,5 @@ +122 +132 +3.5 +5770064245.781963 +382760000.0 \ No newline at end of file diff --git a/n2/1397 b/n2/1397 new file mode 100644 index 00000000..a41bc453 --- /dev/null +++ b/n2/1397 @@ -0,0 +1,5 @@ +122 +132 +4.0 +5824744245.781963 +437440000.0 \ No newline at end of file diff --git a/n2/1398 b/n2/1398 new file mode 100644 index 00000000..3f646ff4 --- /dev/null +++ b/n2/1398 @@ -0,0 +1,5 @@ +122 +132 +4.5 +5879424245.781963 +492120000.0 \ No newline at end of file diff --git a/n2/1399 b/n2/1399 new file mode 100644 index 00000000..1e844923 --- /dev/null +++ b/n2/1399 @@ -0,0 +1,5 @@ +122 +132 +5.0 +5934104245.781963 +546800000.0 \ No newline at end of file diff --git a/n2/14 b/n2/14 new file mode 100644 index 00000000..7fab3918 --- /dev/null +++ b/n2/14 @@ -0,0 +1,5 @@ +0 +10 +2.5 +5598018749.898781 +273400000.0 \ No newline at end of file diff --git a/n2/140 b/n2/140 new file mode 100644 index 00000000..e820c829 --- /dev/null +++ b/n2/140 @@ -0,0 +1,5 @@ +0 +142 +0.5 +5896892785.53166 +776456000.0 \ No newline at end of file diff --git a/n2/1400 b/n2/1400 new file mode 100644 index 00000000..e37b89ed --- /dev/null +++ b/n2/1400 @@ -0,0 +1,5 @@ +122 +142 +0.5 +5454860268.933579 +109360000.0 \ No newline at end of file diff --git a/n2/1401 b/n2/1401 new file mode 100644 index 00000000..90d62fe7 --- /dev/null +++ b/n2/1401 @@ -0,0 +1,5 @@ +122 +142 +1.0 +5557560626.558096 +218720000.0 \ No newline at end of file diff --git a/n2/1402 b/n2/1402 new file mode 100644 index 00000000..ea59b633 --- /dev/null +++ b/n2/1402 @@ -0,0 +1,5 @@ +122 +142 +1.5 +5666918636.710431 +328080000.0 \ No newline at end of file diff --git a/n2/1403 b/n2/1403 new file mode 100644 index 00000000..4ab9bac1 --- /dev/null +++ b/n2/1403 @@ -0,0 +1,5 @@ +122 +142 +2.0 +5776278636.710431 +437440000.0 \ No newline at end of file diff --git a/n2/1404 b/n2/1404 new file mode 100644 index 00000000..77434851 --- /dev/null +++ b/n2/1404 @@ -0,0 +1,5 @@ +122 +142 +2.5 +5885638636.710431 +546800000.0 \ No newline at end of file diff --git a/n2/1405 b/n2/1405 new file mode 100644 index 00000000..9b9f163a --- /dev/null +++ b/n2/1405 @@ -0,0 +1,5 @@ +122 +142 +3.0 +5994998636.710431 +656160000.0 \ No newline at end of file diff --git a/n2/1406 b/n2/1406 new file mode 100644 index 00000000..448baa14 --- /dev/null +++ b/n2/1406 @@ -0,0 +1,5 @@ +122 +142 +3.5 +6104358636.710431 +765520000.0 \ No newline at end of file diff --git a/n2/1407 b/n2/1407 new file mode 100644 index 00000000..08f7df5a --- /dev/null +++ b/n2/1407 @@ -0,0 +1,5 @@ +122 +142 +4.0 +6213718636.710431 +874880000.0 \ No newline at end of file diff --git a/n2/1408 b/n2/1408 new file mode 100644 index 00000000..3473a247 --- /dev/null +++ b/n2/1408 @@ -0,0 +1,5 @@ +122 +142 +4.5 +6323078636.710431 +984240000.0 \ No newline at end of file diff --git a/n2/1409 b/n2/1409 new file mode 100644 index 00000000..f7eb9e51 --- /dev/null +++ b/n2/1409 @@ -0,0 +1,5 @@ +122 +142 +5.0 +6432438636.710431 +1093600000.0 \ No newline at end of file diff --git a/n2/141 b/n2/141 new file mode 100644 index 00000000..3b0e3461 --- /dev/null +++ b/n2/141 @@ -0,0 +1,5 @@ +0 +142 +1.0 +6340624081.680797 +1552912000.0 \ No newline at end of file diff --git a/n2/1410 b/n2/1410 new file mode 100644 index 00000000..3ce73bbb --- /dev/null +++ b/n2/1410 @@ -0,0 +1,5 @@ +122 +152 +0.5 +5380593106.927316 +164040000.0 \ No newline at end of file diff --git a/n2/1411 b/n2/1411 new file mode 100644 index 00000000..12c528f2 --- /dev/null +++ b/n2/1411 @@ -0,0 +1,5 @@ +122 +152 +1.0 +5517569119.648096 +328080000.0 \ No newline at end of file diff --git a/n2/1412 b/n2/1412 new file mode 100644 index 00000000..ab6748ec --- /dev/null +++ b/n2/1412 @@ -0,0 +1,5 @@ +122 +152 +1.5 +5681585238.257993 +492120000.0 \ No newline at end of file diff --git a/n2/1413 b/n2/1413 new file mode 100644 index 00000000..9d4684a2 --- /dev/null +++ b/n2/1413 @@ -0,0 +1,5 @@ +122 +152 +2.0 +5845625238.257993 +656160000.0 \ No newline at end of file diff --git a/n2/1414 b/n2/1414 new file mode 100644 index 00000000..7f78beec --- /dev/null +++ b/n2/1414 @@ -0,0 +1,5 @@ +122 +152 +2.5 +6009665238.257993 +820200000.0 \ No newline at end of file diff --git a/n2/1415 b/n2/1415 new file mode 100644 index 00000000..50f715c8 --- /dev/null +++ b/n2/1415 @@ -0,0 +1,5 @@ +122 +152 +3.0 +6173705238.257993 +984240000.0 \ No newline at end of file diff --git a/n2/1416 b/n2/1416 new file mode 100644 index 00000000..a7f0c0a8 --- /dev/null +++ b/n2/1416 @@ -0,0 +1,5 @@ +122 +152 +3.5 +6337745238.257993 +1148280000.0 \ No newline at end of file diff --git a/n2/1417 b/n2/1417 new file mode 100644 index 00000000..62b1cc49 --- /dev/null +++ b/n2/1417 @@ -0,0 +1,5 @@ +122 +152 +4.0 +6501785238.257993 +1312320000.0 \ No newline at end of file diff --git a/n2/1418 b/n2/1418 new file mode 100644 index 00000000..e345f386 --- /dev/null +++ b/n2/1418 @@ -0,0 +1,5 @@ +122 +152 +4.5 +6665825238.257993 +1476360000.0 \ No newline at end of file diff --git a/n2/1419 b/n2/1419 new file mode 100644 index 00000000..7a75ef21 --- /dev/null +++ b/n2/1419 @@ -0,0 +1,5 @@ +122 +152 +5.0 +6829865238.257993 +1640400000.0 \ No newline at end of file diff --git a/n2/142 b/n2/142 new file mode 100644 index 00000000..2a4ac2e2 --- /dev/null +++ b/n2/142 @@ -0,0 +1,5 @@ +0 +142 +1.5 +6273974243.82635 +2329368000.0 \ No newline at end of file diff --git a/n2/1420 b/n2/1420 new file mode 100644 index 00000000..4976636a --- /dev/null +++ b/n2/1420 @@ -0,0 +1,5 @@ +122 +163 +0.5 +5104486392.020211 +224188000.0 \ No newline at end of file diff --git a/n2/1421 b/n2/1421 new file mode 100644 index 00000000..f6212186 --- /dev/null +++ b/n2/1421 @@ -0,0 +1,5 @@ +122 +163 +1.0 +5279424027.857057 +448376000.0 \ No newline at end of file diff --git a/n2/1422 b/n2/1422 new file mode 100644 index 00000000..7d1af3ea --- /dev/null +++ b/n2/1422 @@ -0,0 +1,5 @@ +122 +163 +1.5 +5442023508.1786785 +672564000.0 \ No newline at end of file diff --git a/n2/1423 b/n2/1423 new file mode 100644 index 00000000..af06f1a5 --- /dev/null +++ b/n2/1423 @@ -0,0 +1,5 @@ +122 +163 +2.0 +5523716226.337134 +896752000.0 \ No newline at end of file diff --git a/n2/1424 b/n2/1424 new file mode 100644 index 00000000..8f50a3f1 --- /dev/null +++ b/n2/1424 @@ -0,0 +1,5 @@ +122 +163 +2.5 +5747904226.337134 +1120940000.0 \ No newline at end of file diff --git a/n2/1425 b/n2/1425 new file mode 100644 index 00000000..ad3d2056 --- /dev/null +++ b/n2/1425 @@ -0,0 +1,5 @@ +122 +163 +3.0 +5972092226.337134 +1345128000.0 \ No newline at end of file diff --git a/n2/1426 b/n2/1426 new file mode 100644 index 00000000..360c7990 --- /dev/null +++ b/n2/1426 @@ -0,0 +1,5 @@ +122 +163 +3.5 +6196280226.337134 +1569316000.0 \ No newline at end of file diff --git a/n2/1427 b/n2/1427 new file mode 100644 index 00000000..da46950d --- /dev/null +++ b/n2/1427 @@ -0,0 +1,5 @@ +122 +163 +4.0 +6420468226.337134 +1793504000.0 \ No newline at end of file diff --git a/n2/1428 b/n2/1428 new file mode 100644 index 00000000..030c599f --- /dev/null +++ b/n2/1428 @@ -0,0 +1,5 @@ +122 +163 +4.5 +6644656226.337134 +2017692000.0 \ No newline at end of file diff --git a/n2/1429 b/n2/1429 new file mode 100644 index 00000000..f97a7ac7 --- /dev/null +++ b/n2/1429 @@ -0,0 +1,5 @@ +122 +163 +5.0 +6868844226.337134 +2241880000.0 \ No newline at end of file diff --git a/n2/143 b/n2/143 new file mode 100644 index 00000000..5889ac2b --- /dev/null +++ b/n2/143 @@ -0,0 +1,5 @@ +0 +142 +2.0 +5235641047.05075 +3105824000.0 \ No newline at end of file diff --git a/n2/1430 b/n2/1430 new file mode 100644 index 00000000..b5092167 --- /dev/null +++ b/n2/1430 @@ -0,0 +1,5 @@ +132 +132 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1431 b/n2/1431 new file mode 100644 index 00000000..d5e29ecc --- /dev/null +++ b/n2/1431 @@ -0,0 +1,5 @@ +132 +132 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1432 b/n2/1432 new file mode 100644 index 00000000..1463d188 --- /dev/null +++ b/n2/1432 @@ -0,0 +1,5 @@ +132 +132 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1433 b/n2/1433 new file mode 100644 index 00000000..b2e8c761 --- /dev/null +++ b/n2/1433 @@ -0,0 +1,5 @@ +132 +132 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1434 b/n2/1434 new file mode 100644 index 00000000..f786ae62 --- /dev/null +++ b/n2/1434 @@ -0,0 +1,5 @@ +132 +132 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1435 b/n2/1435 new file mode 100644 index 00000000..8ed316d4 --- /dev/null +++ b/n2/1435 @@ -0,0 +1,5 @@ +132 +132 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1436 b/n2/1436 new file mode 100644 index 00000000..f00df091 --- /dev/null +++ b/n2/1436 @@ -0,0 +1,5 @@ +132 +132 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1437 b/n2/1437 new file mode 100644 index 00000000..b4d533f6 --- /dev/null +++ b/n2/1437 @@ -0,0 +1,5 @@ +132 +132 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1438 b/n2/1438 new file mode 100644 index 00000000..4c1cc538 --- /dev/null +++ b/n2/1438 @@ -0,0 +1,5 @@ +132 +132 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1439 b/n2/1439 new file mode 100644 index 00000000..15a52114 --- /dev/null +++ b/n2/1439 @@ -0,0 +1,5 @@ +132 +132 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/144 b/n2/144 new file mode 100644 index 00000000..2dcccd4c --- /dev/null +++ b/n2/144 @@ -0,0 +1,5 @@ +0 +142 +2.5 +5615492784.982269 +3882280000.0 \ No newline at end of file diff --git a/n2/1440 b/n2/1440 new file mode 100644 index 00000000..481c5a05 --- /dev/null +++ b/n2/1440 @@ -0,0 +1,5 @@ +132 +142 +0.5 +5402420790.699989 +54680000.0 \ No newline at end of file diff --git a/n2/1441 b/n2/1441 new file mode 100644 index 00000000..94fb8fda --- /dev/null +++ b/n2/1441 @@ -0,0 +1,5 @@ +132 +142 +1.0 +5452104313.4563465 +109360000.0 \ No newline at end of file diff --git a/n2/1442 b/n2/1442 new file mode 100644 index 00000000..d2f0bd05 --- /dev/null +++ b/n2/1442 @@ -0,0 +1,5 @@ +132 +142 +1.5 +5506783436.064411 +164040000.0 \ No newline at end of file diff --git a/n2/1443 b/n2/1443 new file mode 100644 index 00000000..0d0b8de4 --- /dev/null +++ b/n2/1443 @@ -0,0 +1,5 @@ +132 +142 +2.0 +5561463436.064411 +218720000.0 \ No newline at end of file diff --git a/n2/1444 b/n2/1444 new file mode 100644 index 00000000..a8d04b44 --- /dev/null +++ b/n2/1444 @@ -0,0 +1,5 @@ +132 +142 +2.5 +5616143436.064411 +273400000.0 \ No newline at end of file diff --git a/n2/1445 b/n2/1445 new file mode 100644 index 00000000..3895799e --- /dev/null +++ b/n2/1445 @@ -0,0 +1,5 @@ +132 +142 +3.0 +5670823436.064411 +328080000.0 \ No newline at end of file diff --git a/n2/1446 b/n2/1446 new file mode 100644 index 00000000..2c7d4da0 --- /dev/null +++ b/n2/1446 @@ -0,0 +1,5 @@ +132 +142 +3.5 +5725503436.064411 +382760000.0 \ No newline at end of file diff --git a/n2/1447 b/n2/1447 new file mode 100644 index 00000000..90943ab8 --- /dev/null +++ b/n2/1447 @@ -0,0 +1,5 @@ +132 +142 +4.0 +5780183436.064411 +437440000.0 \ No newline at end of file diff --git a/n2/1448 b/n2/1448 new file mode 100644 index 00000000..0295b43d --- /dev/null +++ b/n2/1448 @@ -0,0 +1,5 @@ +132 +142 +4.5 +5834863436.064411 +492120000.0 \ No newline at end of file diff --git a/n2/1449 b/n2/1449 new file mode 100644 index 00000000..f6d57fb6 --- /dev/null +++ b/n2/1449 @@ -0,0 +1,5 @@ +132 +142 +5.0 +5889543436.064411 +546800000.0 \ No newline at end of file diff --git a/n2/145 b/n2/145 new file mode 100644 index 00000000..7df8e78b --- /dev/null +++ b/n2/145 @@ -0,0 +1,5 @@ +0 +142 +3.0 +6289922369.92709 +4658736000.0 \ No newline at end of file diff --git a/n2/1450 b/n2/1450 new file mode 100644 index 00000000..9b8309c0 --- /dev/null +++ b/n2/1450 @@ -0,0 +1,5 @@ +132 +152 +0.5 +5333233886.157225 +109360000.0 \ No newline at end of file diff --git a/n2/1451 b/n2/1451 new file mode 100644 index 00000000..1e8f51d1 --- /dev/null +++ b/n2/1451 @@ -0,0 +1,5 @@ +132 +152 +1.0 +5417043231.479397 +218720000.0 \ No newline at end of file diff --git a/n2/1452 b/n2/1452 new file mode 100644 index 00000000..d6350588 --- /dev/null +++ b/n2/1452 @@ -0,0 +1,5 @@ +132 +152 +1.5 +5526378764.611362 +328080000.0 \ No newline at end of file diff --git a/n2/1453 b/n2/1453 new file mode 100644 index 00000000..93e4f201 --- /dev/null +++ b/n2/1453 @@ -0,0 +1,5 @@ +132 +152 +2.0 +5635738764.611362 +437440000.0 \ No newline at end of file diff --git a/n2/1454 b/n2/1454 new file mode 100644 index 00000000..0eebaf01 --- /dev/null +++ b/n2/1454 @@ -0,0 +1,5 @@ +132 +152 +2.5 +5745098764.611362 +546800000.0 \ No newline at end of file diff --git a/n2/1455 b/n2/1455 new file mode 100644 index 00000000..e714a7e9 --- /dev/null +++ b/n2/1455 @@ -0,0 +1,5 @@ +132 +152 +3.0 +5854458764.611362 +656160000.0 \ No newline at end of file diff --git a/n2/1456 b/n2/1456 new file mode 100644 index 00000000..f49ca1ff --- /dev/null +++ b/n2/1456 @@ -0,0 +1,5 @@ +132 +152 +3.5 +5963818764.611362 +765520000.0 \ No newline at end of file diff --git a/n2/1457 b/n2/1457 new file mode 100644 index 00000000..6ceca451 --- /dev/null +++ b/n2/1457 @@ -0,0 +1,5 @@ +132 +152 +4.0 +6073178764.611362 +874880000.0 \ No newline at end of file diff --git a/n2/1458 b/n2/1458 new file mode 100644 index 00000000..ef2d4880 --- /dev/null +++ b/n2/1458 @@ -0,0 +1,5 @@ +132 +152 +4.5 +6182538764.611362 +984240000.0 \ No newline at end of file diff --git a/n2/1459 b/n2/1459 new file mode 100644 index 00000000..cb4eb454 --- /dev/null +++ b/n2/1459 @@ -0,0 +1,5 @@ +132 +152 +5.0 +6291898764.611362 +1093600000.0 \ No newline at end of file diff --git a/n2/146 b/n2/146 new file mode 100644 index 00000000..0ebaffda --- /dev/null +++ b/n2/146 @@ -0,0 +1,5 @@ +0 +142 +3.5 +6907305481.864632 +5435192000.0 \ No newline at end of file diff --git a/n2/1460 b/n2/1460 new file mode 100644 index 00000000..1647ec2a --- /dev/null +++ b/n2/1460 @@ -0,0 +1,5 @@ +132 +163 +0.5 +5065366601.982336 +169508000.0 \ No newline at end of file diff --git a/n2/1461 b/n2/1461 new file mode 100644 index 00000000..40f1d6fd --- /dev/null +++ b/n2/1461 @@ -0,0 +1,5 @@ +132 +163 +1.0 +5183486469.449349 +339016000.0 \ No newline at end of file diff --git a/n2/1462 b/n2/1462 new file mode 100644 index 00000000..1590208f --- /dev/null +++ b/n2/1462 @@ -0,0 +1,5 @@ +132 +163 +1.5 +5305915989.119641 +508524000.0 \ No newline at end of file diff --git a/n2/1463 b/n2/1463 new file mode 100644 index 00000000..128ee8eb --- /dev/null +++ b/n2/1463 @@ -0,0 +1,5 @@ +132 +163 +2.0 +5356466676.030457 +678032000.0 \ No newline at end of file diff --git a/n2/1464 b/n2/1464 new file mode 100644 index 00000000..26d12c8a --- /dev/null +++ b/n2/1464 @@ -0,0 +1,5 @@ +132 +163 +2.5 +5525974676.030457 +847540000.0 \ No newline at end of file diff --git a/n2/1465 b/n2/1465 new file mode 100644 index 00000000..507d729f --- /dev/null +++ b/n2/1465 @@ -0,0 +1,5 @@ +132 +163 +3.0 +5695482676.030457 +1017048000.0 \ No newline at end of file diff --git a/n2/1466 b/n2/1466 new file mode 100644 index 00000000..a282b37a --- /dev/null +++ b/n2/1466 @@ -0,0 +1,5 @@ +132 +163 +3.5 +5864990676.030457 +1186556000.0 \ No newline at end of file diff --git a/n2/1467 b/n2/1467 new file mode 100644 index 00000000..dd52194e --- /dev/null +++ b/n2/1467 @@ -0,0 +1,5 @@ +132 +163 +4.0 +6034498676.030457 +1356064000.0 \ No newline at end of file diff --git a/n2/1468 b/n2/1468 new file mode 100644 index 00000000..126fc7a9 --- /dev/null +++ b/n2/1468 @@ -0,0 +1,5 @@ +132 +163 +4.5 +6204006676.030457 +1525572000.0 \ No newline at end of file diff --git a/n2/1469 b/n2/1469 new file mode 100644 index 00000000..44bff933 --- /dev/null +++ b/n2/1469 @@ -0,0 +1,5 @@ +132 +163 +5.0 +6373514676.030457 +1695080000.0 \ No newline at end of file diff --git a/n2/147 b/n2/147 new file mode 100644 index 00000000..9fae387d --- /dev/null +++ b/n2/147 @@ -0,0 +1,5 @@ +0 +142 +4.0 +7683761481.864632 +6211648000.0 \ No newline at end of file diff --git a/n2/1470 b/n2/1470 new file mode 100644 index 00000000..bade2fdd --- /dev/null +++ b/n2/1470 @@ -0,0 +1,5 @@ +142 +142 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1471 b/n2/1471 new file mode 100644 index 00000000..6507072b --- /dev/null +++ b/n2/1471 @@ -0,0 +1,5 @@ +142 +142 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1472 b/n2/1472 new file mode 100644 index 00000000..5f211df5 --- /dev/null +++ b/n2/1472 @@ -0,0 +1,5 @@ +142 +142 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1473 b/n2/1473 new file mode 100644 index 00000000..37895dea --- /dev/null +++ b/n2/1473 @@ -0,0 +1,5 @@ +142 +142 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1474 b/n2/1474 new file mode 100644 index 00000000..4cde69b7 --- /dev/null +++ b/n2/1474 @@ -0,0 +1,5 @@ +142 +142 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1475 b/n2/1475 new file mode 100644 index 00000000..a135a4c1 --- /dev/null +++ b/n2/1475 @@ -0,0 +1,5 @@ +142 +142 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1476 b/n2/1476 new file mode 100644 index 00000000..25261dfd --- /dev/null +++ b/n2/1476 @@ -0,0 +1,5 @@ +142 +142 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1477 b/n2/1477 new file mode 100644 index 00000000..f6a4e6dd --- /dev/null +++ b/n2/1477 @@ -0,0 +1,5 @@ +142 +142 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1478 b/n2/1478 new file mode 100644 index 00000000..b3a26e39 --- /dev/null +++ b/n2/1478 @@ -0,0 +1,5 @@ +142 +142 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1479 b/n2/1479 new file mode 100644 index 00000000..941e4f33 --- /dev/null +++ b/n2/1479 @@ -0,0 +1,5 @@ +142 +142 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/148 b/n2/148 new file mode 100644 index 00000000..75d3edbc --- /dev/null +++ b/n2/148 @@ -0,0 +1,5 @@ +0 +142 +4.5 +8460217481.864632 +6988104000.0 \ No newline at end of file diff --git a/n2/1480 b/n2/1480 new file mode 100644 index 00000000..0861c778 --- /dev/null +++ b/n2/1480 @@ -0,0 +1,5 @@ +142 +152 +0.5 +5389632750.364933 +54680000.0 \ No newline at end of file diff --git a/n2/1481 b/n2/1481 new file mode 100644 index 00000000..bd5c74bf --- /dev/null +++ b/n2/1481 @@ -0,0 +1,5 @@ +142 +152 +1.0 +5436090263.320317 +109360000.0 \ No newline at end of file diff --git a/n2/1482 b/n2/1482 new file mode 100644 index 00000000..829e294f --- /dev/null +++ b/n2/1482 @@ -0,0 +1,5 @@ +142 +152 +1.5 +5490770263.320317 +164040000.0 \ No newline at end of file diff --git a/n2/1483 b/n2/1483 new file mode 100644 index 00000000..c12f2ad0 --- /dev/null +++ b/n2/1483 @@ -0,0 +1,5 @@ +142 +152 +2.0 +5545450263.320317 +218720000.0 \ No newline at end of file diff --git a/n2/1484 b/n2/1484 new file mode 100644 index 00000000..f1692b1d --- /dev/null +++ b/n2/1484 @@ -0,0 +1,5 @@ +142 +152 +2.5 +5600130263.320317 +273400000.0 \ No newline at end of file diff --git a/n2/1485 b/n2/1485 new file mode 100644 index 00000000..4f8031ec --- /dev/null +++ b/n2/1485 @@ -0,0 +1,5 @@ +142 +152 +3.0 +5654810263.320317 +328080000.0 \ No newline at end of file diff --git a/n2/1486 b/n2/1486 new file mode 100644 index 00000000..f9eb0ea6 --- /dev/null +++ b/n2/1486 @@ -0,0 +1,5 @@ +142 +152 +3.5 +5709490263.320317 +382760000.0 \ No newline at end of file diff --git a/n2/1487 b/n2/1487 new file mode 100644 index 00000000..f258f4b1 --- /dev/null +++ b/n2/1487 @@ -0,0 +1,5 @@ +142 +152 +4.0 +5764170263.320317 +437440000.0 \ No newline at end of file diff --git a/n2/1488 b/n2/1488 new file mode 100644 index 00000000..da11c1cb --- /dev/null +++ b/n2/1488 @@ -0,0 +1,5 @@ +142 +152 +4.5 +5818850263.320317 +492120000.0 \ No newline at end of file diff --git a/n2/1489 b/n2/1489 new file mode 100644 index 00000000..ebaa5916 --- /dev/null +++ b/n2/1489 @@ -0,0 +1,5 @@ +142 +152 +5.0 +5873530263.320317 +546800000.0 \ No newline at end of file diff --git a/n2/149 b/n2/149 new file mode 100644 index 00000000..a41d00e3 --- /dev/null +++ b/n2/149 @@ -0,0 +1,5 @@ +0 +142 +5.0 +9236673481.864632 +7764560000.0 \ No newline at end of file diff --git a/n2/1490 b/n2/1490 new file mode 100644 index 00000000..0733e1c9 --- /dev/null +++ b/n2/1490 @@ -0,0 +1,5 @@ +142 +163 +0.5 +5131418547.574292 +114828000.0 \ No newline at end of file diff --git a/n2/1491 b/n2/1491 new file mode 100644 index 00000000..e61ce7f5 --- /dev/null +++ b/n2/1491 @@ -0,0 +1,5 @@ +142 +163 +1.0 +5221075017.815075 +229656000.0 \ No newline at end of file diff --git a/n2/1492 b/n2/1492 new file mode 100644 index 00000000..d05d947c --- /dev/null +++ b/n2/1492 @@ -0,0 +1,5 @@ +142 +163 +1.5 +5331228003.531515 +344484000.0 \ No newline at end of file diff --git a/n2/1493 b/n2/1493 new file mode 100644 index 00000000..bf4683e7 --- /dev/null +++ b/n2/1493 @@ -0,0 +1,5 @@ +142 +163 +2.0 +5445807191.233033 +459312000.0 \ No newline at end of file diff --git a/n2/1494 b/n2/1494 new file mode 100644 index 00000000..7e6da7cf --- /dev/null +++ b/n2/1494 @@ -0,0 +1,5 @@ +142 +163 +2.5 +5560635191.233033 +574140000.0 \ No newline at end of file diff --git a/n2/1495 b/n2/1495 new file mode 100644 index 00000000..2a2792e2 --- /dev/null +++ b/n2/1495 @@ -0,0 +1,5 @@ +142 +163 +3.0 +5675463191.233033 +688968000.0 \ No newline at end of file diff --git a/n2/1496 b/n2/1496 new file mode 100644 index 00000000..5276cfb2 --- /dev/null +++ b/n2/1496 @@ -0,0 +1,5 @@ +142 +163 +3.5 +5790291191.233033 +803796000.0 \ No newline at end of file diff --git a/n2/1497 b/n2/1497 new file mode 100644 index 00000000..949ca3da --- /dev/null +++ b/n2/1497 @@ -0,0 +1,5 @@ +142 +163 +4.0 +5905119191.233033 +918624000.0 \ No newline at end of file diff --git a/n2/1498 b/n2/1498 new file mode 100644 index 00000000..4145013d --- /dev/null +++ b/n2/1498 @@ -0,0 +1,5 @@ +142 +163 +4.5 +6019947191.233033 +1033452000.0 \ No newline at end of file diff --git a/n2/1499 b/n2/1499 new file mode 100644 index 00000000..539481e2 --- /dev/null +++ b/n2/1499 @@ -0,0 +1,5 @@ +142 +163 +5.0 +6134775191.233033 +1148280000.0 \ No newline at end of file diff --git a/n2/15 b/n2/15 new file mode 100644 index 00000000..e40e18ef --- /dev/null +++ b/n2/15 @@ -0,0 +1,5 @@ +0 +10 +3.0 +5652698749.898781 +328080000.0 \ No newline at end of file diff --git a/n2/150 b/n2/150 new file mode 100644 index 00000000..935cd056 --- /dev/null +++ b/n2/150 @@ -0,0 +1,5 @@ +0 +152 +0.5 +5736285329.057834 +831136000.0 \ No newline at end of file diff --git a/n2/1500 b/n2/1500 new file mode 100644 index 00000000..a5985233 --- /dev/null +++ b/n2/1500 @@ -0,0 +1,5 @@ +152 +152 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1501 b/n2/1501 new file mode 100644 index 00000000..d68c934b --- /dev/null +++ b/n2/1501 @@ -0,0 +1,5 @@ +152 +152 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1502 b/n2/1502 new file mode 100644 index 00000000..09789022 --- /dev/null +++ b/n2/1502 @@ -0,0 +1,5 @@ +152 +152 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1503 b/n2/1503 new file mode 100644 index 00000000..56ee720d --- /dev/null +++ b/n2/1503 @@ -0,0 +1,5 @@ +152 +152 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1504 b/n2/1504 new file mode 100644 index 00000000..d4a06324 --- /dev/null +++ b/n2/1504 @@ -0,0 +1,5 @@ +152 +152 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1505 b/n2/1505 new file mode 100644 index 00000000..5f03a82d --- /dev/null +++ b/n2/1505 @@ -0,0 +1,5 @@ +152 +152 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1506 b/n2/1506 new file mode 100644 index 00000000..bc2ed21d --- /dev/null +++ b/n2/1506 @@ -0,0 +1,5 @@ +152 +152 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1507 b/n2/1507 new file mode 100644 index 00000000..e1a2a5e3 --- /dev/null +++ b/n2/1507 @@ -0,0 +1,5 @@ +152 +152 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1508 b/n2/1508 new file mode 100644 index 00000000..f51e6dff --- /dev/null +++ b/n2/1508 @@ -0,0 +1,5 @@ +152 +152 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1509 b/n2/1509 new file mode 100644 index 00000000..1c112f3f --- /dev/null +++ b/n2/1509 @@ -0,0 +1,5 @@ +152 +152 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/151 b/n2/151 new file mode 100644 index 00000000..f30d5780 --- /dev/null +++ b/n2/151 @@ -0,0 +1,5 @@ +0 +152 +1.0 +6149737830.039335 +1662272000.0 \ No newline at end of file diff --git a/n2/1510 b/n2/1510 new file mode 100644 index 00000000..67ce488a --- /dev/null +++ b/n2/1510 @@ -0,0 +1,5 @@ +152 +163 +0.5 +5235874652.960052 +60148000.0 \ No newline at end of file diff --git a/n2/1511 b/n2/1511 new file mode 100644 index 00000000..d9e11848 --- /dev/null +++ b/n2/1511 @@ -0,0 +1,5 @@ +152 +163 +1.0 +5266885351.901217 +120296000.0 \ No newline at end of file diff --git a/n2/1512 b/n2/1512 new file mode 100644 index 00000000..339f23a3 --- /dev/null +++ b/n2/1512 @@ -0,0 +1,5 @@ +152 +163 +1.5 +5326796142.264306 +180444000.0 \ No newline at end of file diff --git a/n2/1513 b/n2/1513 new file mode 100644 index 00000000..036b7f51 --- /dev/null +++ b/n2/1513 @@ -0,0 +1,5 @@ +152 +163 +2.0 +5386944142.264306 +240592000.0 \ No newline at end of file diff --git a/n2/1514 b/n2/1514 new file mode 100644 index 00000000..af9c0ddf --- /dev/null +++ b/n2/1514 @@ -0,0 +1,5 @@ +152 +163 +2.5 +5447092142.264306 +300740000.0 \ No newline at end of file diff --git a/n2/1515 b/n2/1515 new file mode 100644 index 00000000..8a22de32 --- /dev/null +++ b/n2/1515 @@ -0,0 +1,5 @@ +152 +163 +3.0 +5507240142.264306 +360888000.0 \ No newline at end of file diff --git a/n2/1516 b/n2/1516 new file mode 100644 index 00000000..f666083d --- /dev/null +++ b/n2/1516 @@ -0,0 +1,5 @@ +152 +163 +3.5 +5567388142.264306 +421036000.0 \ No newline at end of file diff --git a/n2/1517 b/n2/1517 new file mode 100644 index 00000000..a4907532 --- /dev/null +++ b/n2/1517 @@ -0,0 +1,5 @@ +152 +163 +4.0 +5627536142.264306 +481184000.0 \ No newline at end of file diff --git a/n2/1518 b/n2/1518 new file mode 100644 index 00000000..9dd59a39 --- /dev/null +++ b/n2/1518 @@ -0,0 +1,5 @@ +152 +163 +4.5 +5687684142.264306 +541332000.0 \ No newline at end of file diff --git a/n2/1519 b/n2/1519 new file mode 100644 index 00000000..fad0af5f --- /dev/null +++ b/n2/1519 @@ -0,0 +1,5 @@ +152 +163 +5.0 +5747832142.264306 +601480000.0 \ No newline at end of file diff --git a/n2/152 b/n2/152 new file mode 100644 index 00000000..a37b0a34 --- /dev/null +++ b/n2/152 @@ -0,0 +1,5 @@ +0 +152 +1.5 +6113439388.098991 +2493408000.0 \ No newline at end of file diff --git a/n2/1520 b/n2/1520 new file mode 100644 index 00000000..a3ba197b --- /dev/null +++ b/n2/1520 @@ -0,0 +1,5 @@ +163 +163 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1521 b/n2/1521 new file mode 100644 index 00000000..765dfd36 --- /dev/null +++ b/n2/1521 @@ -0,0 +1,5 @@ +163 +163 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1522 b/n2/1522 new file mode 100644 index 00000000..6656378c --- /dev/null +++ b/n2/1522 @@ -0,0 +1,5 @@ +163 +163 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1523 b/n2/1523 new file mode 100644 index 00000000..56679d98 --- /dev/null +++ b/n2/1523 @@ -0,0 +1,5 @@ +163 +163 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/1524 b/n2/1524 new file mode 100644 index 00000000..628992e6 --- /dev/null +++ b/n2/1524 @@ -0,0 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of file diff --git a/n2/153 b/n2/153 new file mode 100644 index 00000000..1d979515 --- /dev/null +++ b/n2/153 @@ -0,0 +1,5 @@ +0 +152 +2.0 +5128392097.615257 +3324544000.0 \ No newline at end of file diff --git a/n2/154 b/n2/154 new file mode 100644 index 00000000..d7adea06 --- /dev/null +++ b/n2/154 @@ -0,0 +1,5 @@ +0 +152 +2.5 +5564501425.761774 +4155680000.0 \ No newline at end of file diff --git a/n2/155 b/n2/155 new file mode 100644 index 00000000..3b5c1ae3 --- /dev/null +++ b/n2/155 @@ -0,0 +1,5 @@ +0 +152 +3.0 +6295927109.357517 +4986816000.0 \ No newline at end of file diff --git a/n2/156 b/n2/156 new file mode 100644 index 00000000..8ecbe3c7 --- /dev/null +++ b/n2/156 @@ -0,0 +1,5 @@ +0 +152 +3.5 +6963386442.904255 +5817952000.0 \ No newline at end of file diff --git a/n2/157 b/n2/157 new file mode 100644 index 00000000..eaf533ef --- /dev/null +++ b/n2/157 @@ -0,0 +1,5 @@ +0 +152 +4.0 +7794522442.904255 +6649088000.0 \ No newline at end of file diff --git a/n2/158 b/n2/158 new file mode 100644 index 00000000..81b0df59 --- /dev/null +++ b/n2/158 @@ -0,0 +1,5 @@ +0 +152 +4.5 +8625658442.904255 +7480224000.0 \ No newline at end of file diff --git a/n2/159 b/n2/159 new file mode 100644 index 00000000..26ee4096 --- /dev/null +++ b/n2/159 @@ -0,0 +1,5 @@ +0 +152 +5.0 +9456794442.904255 +8311360000.0 \ No newline at end of file diff --git a/n2/16 b/n2/16 new file mode 100644 index 00000000..7cfdf967 --- /dev/null +++ b/n2/16 @@ -0,0 +1,5 @@ +0 +10 +3.5 +5707378749.898781 +382760000.0 \ No newline at end of file diff --git a/n2/160 b/n2/160 new file mode 100644 index 00000000..4c7f5708 --- /dev/null +++ b/n2/160 @@ -0,0 +1,5 @@ +0 +163 +0.5 +5401037893.195857 +891284000.0 \ No newline at end of file diff --git a/n2/161 b/n2/161 new file mode 100644 index 00000000..0b84bd2f --- /dev/null +++ b/n2/161 @@ -0,0 +1,5 @@ +0 +163 +1.0 +5788433428.75752 +1782568000.0 \ No newline at end of file diff --git a/n2/162 b/n2/162 new file mode 100644 index 00000000..90d7448b --- /dev/null +++ b/n2/162 @@ -0,0 +1,5 @@ +0 +163 +1.5 +5720269015.347278 +2673852000.0 \ No newline at end of file diff --git a/n2/163 b/n2/163 new file mode 100644 index 00000000..dc457a6c --- /dev/null +++ b/n2/163 @@ -0,0 +1,5 @@ +0 +163 +2.0 +4655785952.010151 +3565136000.0 \ No newline at end of file diff --git a/n2/164 b/n2/164 new file mode 100644 index 00000000..5f60ab02 --- /dev/null +++ b/n2/164 @@ -0,0 +1,5 @@ +0 +163 +2.5 +5153571635.037087 +4456420000.0 \ No newline at end of file diff --git a/n2/165 b/n2/165 new file mode 100644 index 00000000..b64741d9 --- /dev/null +++ b/n2/165 @@ -0,0 +1,5 @@ +0 +163 +3.0 +5945408947.911246 +5347704000.0 \ No newline at end of file diff --git a/n2/166 b/n2/166 new file mode 100644 index 00000000..57f4b1a4 --- /dev/null +++ b/n2/166 @@ -0,0 +1,5 @@ +0 +163 +3.5 +6675198920.141876 +6238988000.0 \ No newline at end of file diff --git a/n2/167 b/n2/167 new file mode 100644 index 00000000..bacffcb0 --- /dev/null +++ b/n2/167 @@ -0,0 +1,5 @@ +0 +163 +4.0 +7566482920.141876 +7130272000.0 \ No newline at end of file diff --git a/n2/168 b/n2/168 new file mode 100644 index 00000000..00efdf93 --- /dev/null +++ b/n2/168 @@ -0,0 +1,5 @@ +0 +163 +4.5 +8457766920.141876 +8021556000.0 \ No newline at end of file diff --git a/n2/169 b/n2/169 new file mode 100644 index 00000000..c1a9f8f7 --- /dev/null +++ b/n2/169 @@ -0,0 +1,5 @@ +0 +163 +5.0 +9349050920.141876 +8912840000.0 \ No newline at end of file diff --git a/n2/17 b/n2/17 new file mode 100644 index 00000000..132f1806 --- /dev/null +++ b/n2/17 @@ -0,0 +1,5 @@ +0 +10 +4.0 +5762058749.898781 +437440000.0 \ No newline at end of file diff --git a/n2/170 b/n2/170 new file mode 100644 index 00000000..15148cdc --- /dev/null +++ b/n2/170 @@ -0,0 +1,5 @@ +10 +10 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/171 b/n2/171 new file mode 100644 index 00000000..8165e8ef --- /dev/null +++ b/n2/171 @@ -0,0 +1,5 @@ +10 +10 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/172 b/n2/172 new file mode 100644 index 00000000..55ee9477 --- /dev/null +++ b/n2/172 @@ -0,0 +1,5 @@ +10 +10 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/173 b/n2/173 new file mode 100644 index 00000000..47784781 --- /dev/null +++ b/n2/173 @@ -0,0 +1,5 @@ +10 +10 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/174 b/n2/174 new file mode 100644 index 00000000..93e290da --- /dev/null +++ b/n2/174 @@ -0,0 +1,5 @@ +10 +10 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/175 b/n2/175 new file mode 100644 index 00000000..40d5e6a8 --- /dev/null +++ b/n2/175 @@ -0,0 +1,5 @@ +10 +10 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/176 b/n2/176 new file mode 100644 index 00000000..dcb3f0ab --- /dev/null +++ b/n2/176 @@ -0,0 +1,5 @@ +10 +10 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/177 b/n2/177 new file mode 100644 index 00000000..5a779c70 --- /dev/null +++ b/n2/177 @@ -0,0 +1,5 @@ +10 +10 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/178 b/n2/178 new file mode 100644 index 00000000..f484fbf9 --- /dev/null +++ b/n2/178 @@ -0,0 +1,5 @@ +10 +10 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/179 b/n2/179 new file mode 100644 index 00000000..f9dcac54 --- /dev/null +++ b/n2/179 @@ -0,0 +1,5 @@ +10 +10 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/18 b/n2/18 new file mode 100644 index 00000000..920bb443 --- /dev/null +++ b/n2/18 @@ -0,0 +1,5 @@ +0 +10 +4.5 +5816738749.898781 +492120000.0 \ No newline at end of file diff --git a/n2/180 b/n2/180 new file mode 100644 index 00000000..f671d592 --- /dev/null +++ b/n2/180 @@ -0,0 +1,5 @@ +10 +20 +0.5 +5443432902.876319 +54680000.0 \ No newline at end of file diff --git a/n2/181 b/n2/181 new file mode 100644 index 00000000..2fad67c5 --- /dev/null +++ b/n2/181 @@ -0,0 +1,5 @@ +10 +20 +1.0 +5498110783.464592 +109360000.0 \ No newline at end of file diff --git a/n2/182 b/n2/182 new file mode 100644 index 00000000..7b3a8461 --- /dev/null +++ b/n2/182 @@ -0,0 +1,5 @@ +10 +20 +1.5 +5552790783.464592 +164040000.0 \ No newline at end of file diff --git a/n2/183 b/n2/183 new file mode 100644 index 00000000..e3b1b6a0 --- /dev/null +++ b/n2/183 @@ -0,0 +1,5 @@ +10 +20 +2.0 +5607470783.464592 +218720000.0 \ No newline at end of file diff --git a/n2/184 b/n2/184 new file mode 100644 index 00000000..17292840 --- /dev/null +++ b/n2/184 @@ -0,0 +1,5 @@ +10 +20 +2.5 +5662150783.464592 +273400000.0 \ No newline at end of file diff --git a/n2/185 b/n2/185 new file mode 100644 index 00000000..02bf8aa1 --- /dev/null +++ b/n2/185 @@ -0,0 +1,5 @@ +10 +20 +3.0 +5716830783.464592 +328080000.0 \ No newline at end of file diff --git a/n2/186 b/n2/186 new file mode 100644 index 00000000..22ad43cf --- /dev/null +++ b/n2/186 @@ -0,0 +1,5 @@ +10 +20 +3.5 +5771510783.464592 +382760000.0 \ No newline at end of file diff --git a/n2/187 b/n2/187 new file mode 100644 index 00000000..12080cb8 --- /dev/null +++ b/n2/187 @@ -0,0 +1,5 @@ +10 +20 +4.0 +5826190783.464592 +437440000.0 \ No newline at end of file diff --git a/n2/188 b/n2/188 new file mode 100644 index 00000000..4fdd551c --- /dev/null +++ b/n2/188 @@ -0,0 +1,5 @@ +10 +20 +4.5 +5880870783.464592 +492120000.0 \ No newline at end of file diff --git a/n2/189 b/n2/189 new file mode 100644 index 00000000..093d314a --- /dev/null +++ b/n2/189 @@ -0,0 +1,5 @@ +10 +20 +5.0 +5935550783.464592 +546800000.0 \ No newline at end of file diff --git a/n2/19 b/n2/19 new file mode 100644 index 00000000..7d9d60be --- /dev/null +++ b/n2/19 @@ -0,0 +1,5 @@ +0 +10 +5.0 +5871418749.898781 +546800000.0 \ No newline at end of file diff --git a/n2/190 b/n2/190 new file mode 100644 index 00000000..9b86e8bd --- /dev/null +++ b/n2/190 @@ -0,0 +1,5 @@ +10 +30 +0.5 +5486483773.159058 +109360000.0 \ No newline at end of file diff --git a/n2/191 b/n2/191 new file mode 100644 index 00000000..10a98090 --- /dev/null +++ b/n2/191 @@ -0,0 +1,5 @@ +10 +30 +1.0 +5595726105.174522 +218720000.0 \ No newline at end of file diff --git a/n2/192 b/n2/192 new file mode 100644 index 00000000..b485c549 --- /dev/null +++ b/n2/192 @@ -0,0 +1,5 @@ +10 +30 +1.5 +5705086105.174522 +328080000.0 \ No newline at end of file diff --git a/n2/193 b/n2/193 new file mode 100644 index 00000000..3d2f8d1f --- /dev/null +++ b/n2/193 @@ -0,0 +1,5 @@ +10 +30 +2.0 +5814446105.174522 +437440000.0 \ No newline at end of file diff --git a/n2/194 b/n2/194 new file mode 100644 index 00000000..5ecb3ce6 --- /dev/null +++ b/n2/194 @@ -0,0 +1,5 @@ +10 +30 +2.5 +5923806105.174522 +546800000.0 \ No newline at end of file diff --git a/n2/195 b/n2/195 new file mode 100644 index 00000000..962110b4 --- /dev/null +++ b/n2/195 @@ -0,0 +1,5 @@ +10 +30 +3.0 +6033166105.174522 +656160000.0 \ No newline at end of file diff --git a/n2/196 b/n2/196 new file mode 100644 index 00000000..11e9c832 --- /dev/null +++ b/n2/196 @@ -0,0 +1,5 @@ +10 +30 +3.5 +6142526105.174522 +765520000.0 \ No newline at end of file diff --git a/n2/197 b/n2/197 new file mode 100644 index 00000000..6da0f264 --- /dev/null +++ b/n2/197 @@ -0,0 +1,5 @@ +10 +30 +4.0 +6251886105.174522 +874880000.0 \ No newline at end of file diff --git a/n2/198 b/n2/198 new file mode 100644 index 00000000..330179ff --- /dev/null +++ b/n2/198 @@ -0,0 +1,5 @@ +10 +30 +4.5 +6361246105.174522 +984240000.0 \ No newline at end of file diff --git a/n2/199 b/n2/199 new file mode 100644 index 00000000..2e3f244c --- /dev/null +++ b/n2/199 @@ -0,0 +1,5 @@ +10 +30 +5.0 +6470606105.174522 +1093600000.0 \ No newline at end of file diff --git a/n2/2 b/n2/2 new file mode 100644 index 00000000..49cf81c1 --- /dev/null +++ b/n2/2 @@ -0,0 +1,5 @@ +0 +0 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/20 b/n2/20 new file mode 100644 index 00000000..ff68c464 --- /dev/null +++ b/n2/20 @@ -0,0 +1,5 @@ +0 +20 +0.5 +5423925463.484163 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--git a/n2/205 b/n2/205 new file mode 100644 index 00000000..d1ac540a --- /dev/null +++ b/n2/205 @@ -0,0 +1,5 @@ +10 +40 +3.0 +6357409344.775306 +984240000.0 \ No newline at end of file diff --git a/n2/206 b/n2/206 new file mode 100644 index 00000000..7c3321cc --- /dev/null +++ b/n2/206 @@ -0,0 +1,5 @@ +10 +40 +3.5 +6521449344.775306 +1148280000.0 \ No newline at end of file diff --git a/n2/207 b/n2/207 new file mode 100644 index 00000000..46bc1416 --- /dev/null +++ b/n2/207 @@ -0,0 +1,5 @@ +10 +40 +4.0 +6685489344.775306 +1312320000.0 \ No newline at end of file diff --git a/n2/208 b/n2/208 new file mode 100644 index 00000000..e3120edd --- /dev/null +++ b/n2/208 @@ -0,0 +1,5 @@ +10 +40 +4.5 +6849529344.775306 +1476360000.0 \ No newline at end of file diff --git a/n2/209 b/n2/209 new file mode 100644 index 00000000..191aff99 --- /dev/null +++ b/n2/209 @@ -0,0 +1,5 @@ +10 +40 +5.0 +7013569344.775306 +1640400000.0 \ No newline at end of file diff --git a/n2/21 b/n2/21 new file mode 100644 index 00000000..2ef1267e --- /dev/null +++ b/n2/21 @@ -0,0 +1,5 @@ +0 +20 +1.0 +5501554166.042275 +218720000.0 \ No newline at end of file diff --git a/n2/210 b/n2/210 new file mode 100644 index 00000000..522ddbb1 --- /dev/null +++ b/n2/210 @@ -0,0 +1,5 @@ +10 +50 +0.5 +5595376019.377398 +218720000.0 \ No newline at end of file diff --git a/n2/211 b/n2/211 new file mode 100644 index 00000000..6177a143 --- /dev/null +++ b/n2/211 @@ -0,0 +1,5 @@ +10 +50 +1.0 +5810605090.832213 +437440000.0 \ No newline at end of file diff --git a/n2/212 b/n2/212 new file mode 100644 index 00000000..6966f0e7 --- /dev/null +++ b/n2/212 @@ -0,0 +1,5 @@ +10 +50 +1.5 +6029325090.832213 +656160000.0 \ No newline at end of file diff --git a/n2/213 b/n2/213 new file mode 100644 index 00000000..cfeaa7ce --- /dev/null +++ b/n2/213 @@ -0,0 +1,5 @@ +10 +50 +2.0 +6248045090.832213 +874880000.0 \ No newline at end of file diff --git a/n2/214 b/n2/214 new file mode 100644 index 00000000..a46d7c1d --- /dev/null +++ b/n2/214 @@ -0,0 +1,5 @@ +10 +50 +2.5 +6466765090.832213 +1093600000.0 \ No newline at end of file diff --git a/n2/215 b/n2/215 new file mode 100644 index 00000000..e9541a2e --- /dev/null +++ b/n2/215 @@ -0,0 +1,5 @@ +10 +50 +3.0 +6685485090.832213 +1312320000.0 \ No newline at end of file diff --git a/n2/216 b/n2/216 new file mode 100644 index 00000000..26b37446 --- /dev/null +++ b/n2/216 @@ -0,0 +1,5 @@ +10 +50 +3.5 +6904205090.832213 +1531040000.0 \ No newline at end of file diff --git a/n2/217 b/n2/217 new file mode 100644 index 00000000..9e8bc987 --- /dev/null +++ b/n2/217 @@ -0,0 +1,5 @@ +10 +50 +4.0 +7122925090.832213 +1749760000.0 \ No newline at end of file diff --git a/n2/218 b/n2/218 new file mode 100644 index 00000000..8c3cfbf3 --- /dev/null +++ b/n2/218 @@ -0,0 +1,5 @@ +10 +50 +4.5 +7341645090.832213 +1968480000.0 \ No newline at end of file diff --git a/n2/219 b/n2/219 new file mode 100644 index 00000000..cb22e8e7 --- /dev/null +++ b/n2/219 @@ -0,0 +1,5 @@ +10 +50 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newline at end of file diff --git a/n2/224 b/n2/224 new file mode 100644 index 00000000..c0072d61 --- /dev/null +++ b/n2/224 @@ -0,0 +1,5 @@ +10 +61 +2.5 +6766519335.71609 +1394340000.0 \ No newline at end of file diff --git a/n2/225 b/n2/225 new file mode 100644 index 00000000..c8a8aab0 --- /dev/null +++ b/n2/225 @@ -0,0 +1,5 @@ +10 +61 +3.0 +7045387335.71609 +1673208000.0 \ No newline at end of file diff --git a/n2/226 b/n2/226 new file mode 100644 index 00000000..8c297658 --- /dev/null +++ b/n2/226 @@ -0,0 +1,5 @@ +10 +61 +3.5 +7324255335.71609 +1952076000.0 \ No newline at end of file diff --git a/n2/227 b/n2/227 new file mode 100644 index 00000000..21a153d2 --- /dev/null +++ b/n2/227 @@ -0,0 +1,5 @@ +10 +61 +4.0 +7603123335.71609 +2230944000.0 \ No newline at end of file diff --git a/n2/228 b/n2/228 new file mode 100644 index 00000000..6318066e --- /dev/null +++ b/n2/228 @@ -0,0 +1,5 @@ +10 +61 +4.5 +7881991335.71609 +2509812000.0 \ No newline at end of file diff --git a/n2/229 b/n2/229 new file mode 100644 index 00000000..3802b694 --- /dev/null +++ b/n2/229 @@ -0,0 +1,5 @@ +10 +61 +5.0 +8160859335.71609 +2788680000.0 \ No newline at end of file diff --git a/n2/23 b/n2/23 new file mode 100644 index 00000000..df9fb457 --- /dev/null +++ b/n2/23 @@ -0,0 +1,5 @@ +0 +20 +2.0 +5717158331.41011 +437440000.0 \ No newline at end of file diff --git a/n2/230 b/n2/230 new file mode 100644 index 00000000..8d47ec21 --- /dev/null +++ b/n2/230 @@ -0,0 +1,5 @@ +10 +71 +0.5 +5710204019.377398 +333548000.0 \ No newline at end of file diff --git a/n2/231 b/n2/231 new file mode 100644 index 00000000..9a25b8d6 --- /dev/null +++ b/n2/231 @@ -0,0 +1,5 @@ +10 +71 +1.0 +6040157378.275889 +667096000.0 \ No newline at end of file diff --git a/n2/232 b/n2/232 new file mode 100644 index 00000000..56302e2b --- /dev/null +++ b/n2/232 @@ -0,0 +1,5 @@ +10 +71 +1.5 +6372456366.75481 +1000644000.0 \ No newline at end of file diff --git a/n2/233 b/n2/233 new file mode 100644 index 00000000..f1869cbd --- /dev/null +++ b/n2/233 @@ -0,0 +1,5 @@ +10 +71 +2.0 +6705599102.44281 +1334192000.0 \ No newline at end of file diff --git a/n2/234 b/n2/234 new file mode 100644 index 00000000..7eb5fdcf --- /dev/null +++ b/n2/234 @@ -0,0 +1,5 @@ +10 +71 +2.5 +7039109327.2611 +1667740000.0 \ No newline at end of file diff --git a/n2/235 b/n2/235 new file mode 100644 index 00000000..556c29a5 --- /dev/null +++ b/n2/235 @@ -0,0 +1,5 @@ +10 +71 +3.0 +7372670477.039935 +2001288000.0 \ No newline at end of file diff --git a/n2/236 b/n2/236 new file mode 100644 index 00000000..5e7627da --- /dev/null +++ b/n2/236 @@ -0,0 +1,5 @@ +10 +71 +3.5 +7706218477.039935 +2334836000.0 \ No newline at end of file diff --git a/n2/237 b/n2/237 new file mode 100644 index 00000000..82321b7c --- /dev/null +++ b/n2/237 @@ -0,0 +1,5 @@ +10 +71 +4.0 +8039766477.039935 +2668384000.0 \ No newline at end of file diff --git a/n2/238 b/n2/238 new file mode 100644 index 00000000..ac95e825 --- /dev/null +++ b/n2/238 @@ -0,0 +1,5 @@ +10 +71 +4.5 +8373314477.039935 +3001932000.0 \ No newline at end of file diff --git a/n2/239 b/n2/239 new file mode 100644 index 00000000..18b86e94 --- /dev/null +++ b/n2/239 @@ -0,0 +1,5 @@ +10 +71 +5.0 +8706862477.039934 +3335480000.0 \ No newline at end of file diff --git a/n2/24 b/n2/24 new file mode 100644 index 00000000..02fecac9 --- /dev/null +++ b/n2/24 @@ -0,0 +1,5 @@ +0 +20 +2.5 +5826518331.41011 +546800000.0 \ No newline at end of file diff --git a/n2/240 b/n2/240 new file mode 100644 index 00000000..0564c8b0 --- /dev/null +++ b/n2/240 @@ -0,0 +1,5 @@ +10 +81 +0.5 +5764845510.477463 +388228000.0 \ No newline at end of file diff --git a/n2/241 b/n2/241 new file mode 100644 index 00000000..2efe848f --- /dev/null +++ b/n2/241 @@ -0,0 +1,5 @@ +10 +81 +1.0 +6130062619.651975 +776456000.0 \ No newline at end of file diff --git a/n2/242 b/n2/242 new file mode 100644 index 00000000..2601c767 --- /dev/null +++ b/n2/242 @@ -0,0 +1,5 @@ +10 +81 +1.5 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newline at end of file diff --git a/n2/248 b/n2/248 new file mode 100644 index 00000000..c098b3f3 --- /dev/null +++ b/n2/248 @@ -0,0 +1,5 @@ +10 +81 +4.5 +7796762336.434314 +3494052000.0 \ No newline at end of file diff --git a/n2/249 b/n2/249 new file mode 100644 index 00000000..8cc08378 --- /dev/null +++ b/n2/249 @@ -0,0 +1,5 @@ +10 +81 +5.0 +8184990336.434314 +3882280000.0 \ No newline at end of file diff --git a/n2/25 b/n2/25 new file mode 100644 index 00000000..58482a07 --- /dev/null +++ b/n2/25 @@ -0,0 +1,5 @@ +0 +20 +3.0 +5935878331.41011 +656160000.0 \ No newline at end of file diff --git a/n2/250 b/n2/250 new file mode 100644 index 00000000..d899b357 --- /dev/null +++ b/n2/250 @@ -0,0 +1,5 @@ +10 +91 +0.5 +5818599897.863859 +442908000.0 \ No newline at end of file diff --git a/n2/251 b/n2/251 new file mode 100644 index 00000000..bdd8ca8e --- /dev/null +++ b/n2/251 @@ -0,0 +1,5 @@ +10 +91 +1.0 +6236448642.709934 +885816000.0 \ No newline at end of file diff --git a/n2/252 b/n2/252 new file mode 100644 index 00000000..cfdee1f0 --- /dev/null +++ b/n2/252 @@ -0,0 +1,5 @@ +10 +91 +1.5 +5814882735.757356 +1328724000.0 \ No newline at end of file diff --git a/n2/253 b/n2/253 new file mode 100644 index 00000000..646d562f --- /dev/null +++ b/n2/253 @@ -0,0 +1,5 @@ +10 +91 +2.0 +5646535358.471838 +1771632000.0 \ No newline at end of file diff --git a/n2/254 b/n2/254 new file mode 100644 index 00000000..a6e81850 --- /dev/null +++ b/n2/254 @@ -0,0 +1,5 @@ +10 +91 +2.5 +5962674610.368397 +2214540000.0 \ No newline at end of file diff --git a/n2/255 b/n2/255 new file mode 100644 index 00000000..8d73b946 --- /dev/null +++ b/n2/255 @@ -0,0 +1,5 @@ +10 +91 +3.0 +6350361122.839737 +2657448000.0 \ No newline at end of file diff --git a/n2/256 b/n2/256 new file mode 100644 index 00000000..c4a82085 --- /dev/null +++ b/n2/256 @@ -0,0 +1,5 @@ +10 +91 +3.5 +6791563602.455104 +3100356000.0 \ No newline at end of file diff --git a/n2/257 b/n2/257 new file mode 100644 index 00000000..0f2aeeca --- /dev/null +++ b/n2/257 @@ -0,0 +1,5 @@ +10 +91 +4.0 +7234471602.455104 +3543264000.0 \ No newline at end of file diff --git a/n2/258 b/n2/258 new file mode 100644 index 00000000..c053e2f4 --- /dev/null +++ b/n2/258 @@ -0,0 +1,5 @@ +10 +91 +4.5 +7677379602.455104 +3986172000.0 \ No newline at end of file diff --git a/n2/259 b/n2/259 new file mode 100644 index 00000000..52baefde --- /dev/null +++ b/n2/259 @@ -0,0 +1,5 @@ +10 +91 +5.0 +8120287602.455104 +4429080000.0 \ No newline at end of file diff --git a/n2/26 b/n2/26 new file mode 100644 index 00000000..12ffb427 --- /dev/null +++ b/n2/26 @@ -0,0 +1,5 @@ +0 +20 +3.5 +6045238331.41011 +765520000.0 \ No newline at end of file diff --git a/n2/260 b/n2/260 new file mode 100644 index 00000000..6dafe801 --- /dev/null +++ b/n2/260 @@ -0,0 +1,5 @@ +10 +101 +0.5 +5873279897.863859 +497588000.0 \ No newline at end of file diff --git a/n2/261 b/n2/261 new file mode 100644 index 00000000..513942c1 --- /dev/null +++ b/n2/261 @@ -0,0 +1,5 @@ +10 +101 +1.0 +6345808642.709934 +995176000.0 \ No newline at end of file diff --git a/n2/262 b/n2/262 new file mode 100644 index 00000000..ba3ab240 --- /dev/null +++ b/n2/262 @@ -0,0 +1,5 @@ +10 +101 +1.5 +5978801424.346532 +1492764000.0 \ No newline at end of file diff --git a/n2/263 b/n2/263 new file mode 100644 index 00000000..58319d79 --- /dev/null +++ b/n2/263 @@ -0,0 +1,5 @@ +10 +101 +2.0 +5863980333.551625 +1990352000.0 \ No newline at end of file diff --git a/n2/264 b/n2/264 new file mode 100644 index 00000000..050e9e99 --- /dev/null +++ b/n2/264 @@ -0,0 +1,5 @@ +10 +101 +2.5 +6234766133.37792 +2487940000.0 \ No newline at end of file diff --git a/n2/265 b/n2/265 new file mode 100644 index 00000000..e9d45ddd --- /dev/null +++ b/n2/265 @@ -0,0 +1,5 @@ +10 +101 +3.0 +6687215142.403845 +2985528000.0 \ No newline at end of file diff --git a/n2/266 b/n2/266 new file mode 100644 index 00000000..84a6eaf0 --- /dev/null +++ b/n2/266 @@ -0,0 +1,5 @@ +10 +101 +3.5 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newline at end of file diff --git a/n2/271 b/n2/271 new file mode 100644 index 00000000..e9fb6ba7 --- /dev/null +++ b/n2/271 @@ -0,0 +1,5 @@ +10 +112 +1.0 +6401810977.801349 +1115472000.0 \ No newline at end of file diff --git a/n2/272 b/n2/272 new file mode 100644 index 00000000..90747f62 --- /dev/null +++ b/n2/272 @@ -0,0 +1,5 @@ +10 +112 +1.5 +6195784868.462485 +1673208000.0 \ No newline at end of file diff --git a/n2/273 b/n2/273 new file mode 100644 index 00000000..b0cbd244 --- /dev/null +++ b/n2/273 @@ -0,0 +1,5 @@ +10 +112 +2.0 +4991751222.50905 +2230944000.0 \ No newline at end of file diff --git a/n2/274 b/n2/274 new file mode 100644 index 00000000..dfc92d07 --- /dev/null +++ b/n2/274 @@ -0,0 +1,5 @@ +10 +112 +2.5 +5401185135.660031 +2788680000.0 \ No newline at end of file diff --git a/n2/275 b/n2/275 new file mode 100644 index 00000000..c4c7013d --- /dev/null +++ b/n2/275 @@ -0,0 +1,5 @@ +10 +112 +3.0 +5905100112.655703 +3346416000.0 \ No newline at end of file diff --git a/n2/276 b/n2/276 new file mode 100644 index 00000000..990f425a --- /dev/null +++ b/n2/276 @@ -0,0 +1,5 @@ +10 +112 +3.5 +6427102085.0622 +3904152000.0 \ No newline at end of file diff --git a/n2/277 b/n2/277 new file mode 100644 index 00000000..1daa60ee --- /dev/null +++ b/n2/277 @@ -0,0 +1,5 @@ +10 +112 +4.0 +6984838085.0622 +4461888000.0 \ No newline at end of file diff --git a/n2/278 b/n2/278 new file mode 100644 index 00000000..8eaf718e --- /dev/null +++ b/n2/278 @@ -0,0 +1,5 @@ +10 +112 +4.5 +7542574085.0622 +5019624000.0 \ No newline at end of file diff --git a/n2/279 b/n2/279 new file mode 100644 index 00000000..942fb28e --- /dev/null +++ b/n2/279 @@ -0,0 +1,5 @@ +10 +112 +5.0 +8100310085.0622 +5577360000.0 \ No newline at end of file diff --git a/n2/28 b/n2/28 new file mode 100644 index 00000000..4c2660b1 --- /dev/null +++ b/n2/28 @@ -0,0 +1,5 @@ +0 +20 +4.5 +6263958331.41011 +984240000.0 \ No newline at end of file diff --git a/n2/280 b/n2/280 new file mode 100644 index 00000000..5feec1e4 --- /dev/null +++ b/n2/280 @@ -0,0 +1,5 @@ +10 +122 +0.5 +5947504513.523232 +612416000.0 \ No newline at end of file diff --git a/n2/281 b/n2/281 new file mode 100644 index 00000000..f0a43763 --- /dev/null +++ b/n2/281 @@ -0,0 +1,5 @@ +10 +122 +1.0 +6505616126.697761 +1224832000.0 \ No newline at end of file diff --git a/n2/282 b/n2/282 new file mode 100644 index 00000000..2d105682 --- /dev/null +++ b/n2/282 @@ -0,0 +1,5 @@ +10 +122 +1.5 +6351652607.412393 +1837248000.0 \ No newline at end of file diff --git a/n2/283 b/n2/283 new file mode 100644 index 00000000..1f5d3647 --- /dev/null +++ b/n2/283 @@ -0,0 +1,5 @@ +10 +122 +2.0 +5217882382.71919 +2449664000.0 \ No newline at end of file diff --git a/n2/284 b/n2/284 new file mode 100644 index 00000000..a68235b4 --- /dev/null +++ b/n2/284 @@ -0,0 +1,5 @@ +10 +122 +2.5 +5454476341.967632 +3062080000.0 \ No newline at end of file diff --git a/n2/285 b/n2/285 new file mode 100644 index 00000000..e0007e4c --- /dev/null +++ b/n2/285 @@ -0,0 +1,5 @@ +10 +122 +3.0 +5965604870.50509 +3674496000.0 \ No newline at end of file diff --git a/n2/286 b/n2/286 new file mode 100644 index 00000000..b0079bcc --- /dev/null +++ b/n2/286 @@ -0,0 +1,5 @@ +10 +122 +3.5 +6424155451.467687 +4286912000.0 \ No newline at end of file diff --git a/n2/287 b/n2/287 new file mode 100644 index 00000000..7b213571 --- /dev/null +++ b/n2/287 @@ -0,0 +1,5 @@ +10 +122 +4.0 +7036571451.467687 +4899328000.0 \ No newline at end of file diff --git a/n2/288 b/n2/288 new file mode 100644 index 00000000..62b421b7 --- /dev/null +++ b/n2/288 @@ -0,0 +1,5 @@ +10 +122 +4.5 +7648987451.467687 +5511744000.0 \ No newline at end of file diff --git a/n2/289 b/n2/289 new file mode 100644 index 00000000..0d86aac0 --- /dev/null +++ b/n2/289 @@ -0,0 +1,5 @@ +10 +122 +5.0 +8261403451.467687 +6124160000.0 \ No newline at end of file diff --git a/n2/29 b/n2/29 new file mode 100644 index 00000000..1cb8483e --- /dev/null +++ b/n2/29 @@ -0,0 +1,5 @@ +0 +20 +5.0 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newline at end of file diff --git a/n2/295 b/n2/295 new file mode 100644 index 00000000..010f926c --- /dev/null +++ b/n2/295 @@ -0,0 +1,5 @@ +10 +132 +3.0 +6260094955.051132 +4002576000.0 \ No newline at end of file diff --git a/n2/296 b/n2/296 new file mode 100644 index 00000000..9f9aed96 --- /dev/null +++ b/n2/296 @@ -0,0 +1,5 @@ +10 +132 +3.5 +6772809084.533739 +4669672000.0 \ No newline at end of file diff --git a/n2/297 b/n2/297 new file mode 100644 index 00000000..1f025762 --- /dev/null +++ b/n2/297 @@ -0,0 +1,5 @@ +10 +132 +4.0 +7439905084.533739 +5336768000.0 \ No newline at end of file diff --git a/n2/298 b/n2/298 new file mode 100644 index 00000000..8a97b6a2 --- /dev/null +++ b/n2/298 @@ -0,0 +1,5 @@ +10 +132 +4.5 +8107001084.533739 +6003864000.0 \ No newline at end of file diff --git a/n2/299 b/n2/299 new file mode 100644 index 00000000..7e5899b3 --- /dev/null +++ b/n2/299 @@ -0,0 +1,5 @@ +10 +132 +5.0 +8774097084.533741 +6670960000.0 \ No newline at end of file diff --git a/n2/3 b/n2/3 new file mode 100644 index 00000000..4446e6b7 --- /dev/null +++ b/n2/3 @@ -0,0 +1,5 @@ +0 +0 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/30 b/n2/30 new file mode 100644 index 00000000..0462150c --- /dev/null +++ b/n2/30 @@ -0,0 +1,5 @@ +0 +30 +0.5 +5388020505.074414 +164040000.0 \ No newline at end of file diff --git a/n2/300 b/n2/300 new file mode 100644 index 00000000..ce9a0e03 --- /dev/null +++ b/n2/300 @@ -0,0 +1,5 @@ +10 +142 +0.5 +5995412353.513899 +721776000.0 \ No newline at end of file diff --git a/n2/301 b/n2/301 new file mode 100644 index 00000000..19c53f29 --- /dev/null +++ b/n2/301 @@ -0,0 +1,5 @@ +10 +142 +1.0 +6643415754.602186 +1443552000.0 \ No newline at end of file diff --git a/n2/302 b/n2/302 new file mode 100644 index 00000000..4836b876 --- /dev/null +++ b/n2/302 @@ -0,0 +1,5 @@ +10 +142 +1.5 +6586885774.854573 +2165328000.0 \ No newline at end of file diff --git a/n2/303 b/n2/303 new file mode 100644 index 00000000..5067ed65 --- /dev/null +++ b/n2/303 @@ -0,0 +1,5 @@ +10 +142 +2.0 +5531385427.174847 +2887104000.0 \ No newline at end of file diff --git a/n2/304 b/n2/304 new file mode 100644 index 00000000..720c4435 --- /dev/null +++ b/n2/304 @@ -0,0 +1,5 @@ +10 +142 +2.5 +5860723290.242209 +3608880000.0 \ No newline at end of file diff --git a/n2/305 b/n2/305 new file mode 100644 index 00000000..3b8d2481 --- /dev/null +++ b/n2/305 @@ -0,0 +1,5 @@ +10 +142 +3.0 +6480715620.987449 +4330656000.0 \ No newline at end of file diff --git a/n2/306 b/n2/306 new file mode 100644 index 00000000..27182129 --- /dev/null +++ b/n2/306 @@ -0,0 +1,5 @@ +10 +142 +3.5 +7043454566.230761 +5052432000.0 \ No newline at end of file diff --git a/n2/307 b/n2/307 new file mode 100644 index 00000000..a98d3cbc --- /dev/null +++ b/n2/307 @@ -0,0 +1,5 @@ +10 +142 +4.0 +7765230566.230761 +5774208000.0 \ No newline at end of file diff --git a/n2/308 b/n2/308 new file mode 100644 index 00000000..b2a234f1 --- /dev/null +++ b/n2/308 @@ -0,0 +1,5 @@ +10 +142 +4.5 +8487006566.230761 +6495984000.0 \ No newline at end of file diff --git a/n2/309 b/n2/309 new file mode 100644 index 00000000..a226bce3 --- /dev/null +++ b/n2/309 @@ -0,0 +1,5 @@ +10 +142 +5.0 +9208782566.230764 +7217760000.0 \ No newline at end of file diff --git a/n2/31 b/n2/31 new file mode 100644 index 00000000..025356cf --- /dev/null +++ b/n2/31 @@ -0,0 +1,5 @@ +0 +30 +1.0 +5356947388.863763 +328080000.0 \ No newline at end of file diff --git a/n2/310 b/n2/310 new file mode 100644 index 00000000..09beffc4 --- /dev/null +++ b/n2/310 @@ -0,0 +1,5 @@ +10 +152 +0.5 +5834609505.304646 +776456000.0 \ No newline at end of file diff --git a/n2/311 b/n2/311 new file mode 100644 index 00000000..0be6839e --- /dev/null +++ b/n2/311 @@ -0,0 +1,5 @@ +10 +152 +1.0 +6452026508.94975 +1552912000.0 \ No newline at end of file diff --git a/n2/312 b/n2/312 new file mode 100644 index 00000000..6f7ca158 --- /dev/null +++ b/n2/312 @@ -0,0 +1,5 @@ +10 +152 +1.5 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No newline at end of file diff --git a/n2/318 b/n2/318 new file mode 100644 index 00000000..a56fe70c --- /dev/null +++ b/n2/318 @@ -0,0 +1,5 @@ +10 +152 +4.5 +8651611209.75195 +6988104000.0 \ No newline at end of file diff --git a/n2/319 b/n2/319 new file mode 100644 index 00000000..f7737466 --- /dev/null +++ b/n2/319 @@ -0,0 +1,5 @@ +10 +152 +5.0 +9428067209.75195 +7764560000.0 \ No newline at end of file diff --git a/n2/32 b/n2/32 new file mode 100644 index 00000000..80ebf1a7 --- /dev/null +++ b/n2/32 @@ -0,0 +1,5 @@ +0 +30 +1.5 +5468963297.568097 +492120000.0 \ No newline at end of file diff --git a/n2/320 b/n2/320 new file mode 100644 index 00000000..18915a9e --- /dev/null +++ b/n2/320 @@ -0,0 +1,5 @@ +10 +163 +0.5 +5498988960.769737 +836604000.0 \ No newline at end of file diff --git a/n2/321 b/n2/321 new file mode 100644 index 00000000..ef103634 --- /dev/null +++ b/n2/321 @@ -0,0 +1,5 @@ +10 +163 +1.0 +6089826209.183509 +1673208000.0 \ No newline at end of file diff --git a/n2/322 b/n2/322 new file mode 100644 index 00000000..262b5bbc --- /dev/null +++ b/n2/322 @@ -0,0 +1,5 @@ +10 +163 +1.5 +6030730344.436123 +2509812000.0 \ No newline at end of file diff --git a/n2/323 b/n2/323 new file mode 100644 index 00000000..4072407b --- /dev/null +++ b/n2/323 @@ -0,0 +1,5 @@ +10 +163 +2.0 +4948575431.130758 +3346416000.0 \ No newline at end of file diff --git a/n2/324 b/n2/324 new file mode 100644 index 00000000..88e45ec0 --- /dev/null +++ b/n2/324 @@ -0,0 +1,5 @@ +10 +163 +2.5 +5395777604.481643 +4183020000.0 \ No newline at end of file diff --git a/n2/325 b/n2/325 new file mode 100644 index 00000000..1d246137 --- /dev/null +++ b/n2/325 @@ -0,0 +1,5 @@ +10 +163 +3.0 +6133164715.546076 +5019624000.0 \ No newline at end of file diff --git a/n2/326 b/n2/326 new file mode 100644 index 00000000..379e3c1d --- /dev/null +++ b/n2/326 @@ -0,0 +1,5 @@ +10 +163 +3.5 +6808254684.206639 +5856228000.0 \ No newline at end of file diff --git a/n2/327 b/n2/327 new file mode 100644 index 00000000..f7692b70 --- /dev/null +++ b/n2/327 @@ -0,0 +1,5 @@ +10 +163 +4.0 +7644858684.206639 +6692832000.0 \ No newline at end of file diff --git a/n2/328 b/n2/328 new file mode 100644 index 00000000..949a479f --- /dev/null +++ b/n2/328 @@ -0,0 +1,5 @@ +10 +163 +4.5 +8481462684.206639 +7529436000.0 \ No newline at end of file diff --git a/n2/329 b/n2/329 new file mode 100644 index 00000000..383d0e1f --- /dev/null +++ b/n2/329 @@ -0,0 +1,5 @@ +10 +163 +5.0 +9318066684.206642 +8366040000.0 \ No newline at end of file diff --git a/n2/33 b/n2/33 new file mode 100644 index 00000000..fb50a0ac --- /dev/null +++ b/n2/33 @@ -0,0 +1,5 @@ +0 +30 +2.0 +5608965957.896125 +656160000.0 \ No newline at end of file diff --git a/n2/330 b/n2/330 new file mode 100644 index 00000000..af3ef639 --- /dev/null +++ b/n2/330 @@ -0,0 +1,5 @@ +20 +20 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/331 b/n2/331 new file mode 100644 index 00000000..1f81857b --- /dev/null +++ b/n2/331 @@ -0,0 +1,5 @@ +20 +20 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/332 b/n2/332 new file mode 100644 index 00000000..7eeaf10d --- /dev/null +++ b/n2/332 @@ -0,0 +1,5 @@ +20 +20 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/333 b/n2/333 new file mode 100644 index 00000000..72cc8a28 --- /dev/null +++ b/n2/333 @@ -0,0 +1,5 @@ +20 +20 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/334 b/n2/334 new file mode 100644 index 00000000..cce0bf9a --- /dev/null +++ b/n2/334 @@ -0,0 +1,5 @@ +20 +20 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/335 b/n2/335 new file mode 100644 index 00000000..7b14ac33 --- /dev/null +++ b/n2/335 @@ -0,0 +1,5 @@ +20 +20 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/336 b/n2/336 new file mode 100644 index 00000000..c57fdf8f --- /dev/null +++ b/n2/336 @@ -0,0 +1,5 @@ +20 +20 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/337 b/n2/337 new file mode 100644 index 00000000..61e6816f --- /dev/null +++ b/n2/337 @@ -0,0 +1,5 @@ +20 +20 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/338 b/n2/338 new file mode 100644 index 00000000..a03145a1 --- /dev/null +++ b/n2/338 @@ -0,0 +1,5 @@ +20 +20 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/339 b/n2/339 new file mode 100644 index 00000000..d987ff06 --- /dev/null +++ b/n2/339 @@ -0,0 +1,5 @@ +20 +20 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/34 b/n2/34 new file mode 100644 index 00000000..d9f8d236 --- /dev/null +++ b/n2/34 @@ -0,0 +1,5 @@ +0 +30 +2.5 +5772951009.0786 +820200000.0 \ No newline at end of file diff --git a/n2/340 b/n2/340 new file mode 100644 index 00000000..597cd5d2 --- /dev/null +++ b/n2/340 @@ -0,0 +1,5 @@ +20 +30 +0.5 +5443536963.319028 +54680000.0 \ No newline at end of file diff --git a/n2/341 b/n2/341 new file mode 100644 index 00000000..5e9eeeea --- /dev/null +++ b/n2/341 @@ -0,0 +1,5 @@ +20 +30 +1.0 +5498210955.46219 +109360000.0 \ No newline at end of file diff --git a/n2/342 b/n2/342 new file mode 100644 index 00000000..3cc16017 --- /dev/null +++ b/n2/342 @@ -0,0 +1,5 @@ +20 +30 +1.5 +5552890955.46219 +164040000.0 \ No newline at end of file diff --git a/n2/343 b/n2/343 new file mode 100644 index 00000000..91a34d57 --- /dev/null +++ b/n2/343 @@ -0,0 +1,5 @@ +20 +30 +2.0 +5607570955.46219 +218720000.0 \ No newline at end of file diff --git a/n2/344 b/n2/344 new file mode 100644 index 00000000..cf12b680 --- /dev/null +++ b/n2/344 @@ -0,0 +1,5 @@ +20 +30 +2.5 +5662250955.46219 +273400000.0 \ No newline at end of file diff --git a/n2/345 b/n2/345 new file mode 100644 index 00000000..16b92ae4 --- /dev/null +++ b/n2/345 @@ -0,0 +1,5 @@ +20 +30 +3.0 +5716930955.46219 +328080000.0 \ No newline at end of file diff --git a/n2/346 b/n2/346 new file mode 100644 index 00000000..94953f5e --- /dev/null +++ b/n2/346 @@ -0,0 +1,5 @@ +20 +30 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of file diff --git a/n2/351 b/n2/351 new file mode 100644 index 00000000..8cb4e3d2 --- /dev/null +++ b/n2/351 @@ -0,0 +1,5 @@ +20 +40 +1.0 +5607501417.792341 +218720000.0 \ No newline at end of file diff --git a/n2/352 b/n2/352 new file mode 100644 index 00000000..1982d6c2 --- /dev/null +++ b/n2/352 @@ -0,0 +1,5 @@ +20 +40 +1.5 +5716861417.792341 +328080000.0 \ No newline at end of file diff --git a/n2/353 b/n2/353 new file mode 100644 index 00000000..a98f19fe --- /dev/null +++ b/n2/353 @@ -0,0 +1,5 @@ +20 +40 +2.0 +5826221417.792341 +437440000.0 \ No newline at end of file diff --git a/n2/354 b/n2/354 new file mode 100644 index 00000000..af073818 --- /dev/null +++ b/n2/354 @@ -0,0 +1,5 @@ +20 +40 +2.5 +5935581417.792341 +546800000.0 \ No newline at end of file diff --git a/n2/355 b/n2/355 new file mode 100644 index 00000000..a7dcb79e --- /dev/null +++ b/n2/355 @@ -0,0 +1,5 @@ +20 +40 +3.0 +6044941417.792341 +656160000.0 \ No newline at end of file diff --git a/n2/356 b/n2/356 new file mode 100644 index 00000000..b7089377 --- /dev/null +++ b/n2/356 @@ -0,0 +1,5 @@ +20 +40 +3.5 +6154301417.792341 +765520000.0 \ No newline at end of file diff --git a/n2/357 b/n2/357 new file mode 100644 index 00000000..3940517b --- /dev/null +++ b/n2/357 @@ -0,0 +1,5 @@ +20 +40 +4.0 +6263661417.792341 +874880000.0 \ No newline at end of file diff --git a/n2/358 b/n2/358 new file mode 100644 index 00000000..b7505899 --- /dev/null +++ b/n2/358 @@ -0,0 +1,5 @@ +20 +40 +4.5 +6373021417.792341 +984240000.0 \ No newline at end of file diff --git a/n2/359 b/n2/359 new file mode 100644 index 00000000..44b0538f --- /dev/null +++ b/n2/359 @@ -0,0 +1,5 @@ +20 +40 +5.0 +6482381417.792341 +1093600000.0 \ No newline at end of file diff --git a/n2/36 b/n2/36 new file mode 100644 index 00000000..caed5ad2 --- /dev/null +++ b/n2/36 @@ -0,0 +1,5 @@ +0 +30 +3.5 +6101031009.0786 +1148280000.0 \ No newline at end of file diff --git a/n2/360 b/n2/360 new file mode 100644 index 00000000..3ad50413 --- /dev/null +++ b/n2/360 @@ -0,0 +1,5 @@ +20 +50 +0.5 +5552829213.829863 +164040000.0 \ No newline at end of file diff --git a/n2/361 b/n2/361 new file mode 100644 index 00000000..b77a42f8 --- /dev/null +++ b/n2/361 @@ -0,0 +1,5 @@ +20 +50 +1.0 +5716860883.34148 +328080000.0 \ No newline at end of file diff --git a/n2/362 b/n2/362 new file mode 100644 index 00000000..eaac79b9 --- /dev/null +++ b/n2/362 @@ -0,0 +1,5 @@ +20 +50 +1.5 +5880900883.34148 +492120000.0 \ No newline at end of file diff --git a/n2/363 b/n2/363 new file mode 100644 index 00000000..28267400 --- /dev/null +++ b/n2/363 @@ -0,0 +1,5 @@ +20 +50 +2.0 +6044940883.34148 +656160000.0 \ No newline at end of file diff --git a/n2/364 b/n2/364 new file mode 100644 index 00000000..fe57ec91 --- /dev/null +++ b/n2/364 @@ -0,0 +1,5 @@ +20 +50 +2.5 +6208980883.34148 +820200000.0 \ No newline at end of file diff --git a/n2/365 b/n2/365 new file mode 100644 index 00000000..b13bd0a1 --- /dev/null +++ b/n2/365 @@ -0,0 +1,5 @@ +20 +50 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at end of file diff --git a/n2/370 b/n2/370 new file mode 100644 index 00000000..57c98aa3 --- /dev/null +++ b/n2/370 @@ -0,0 +1,5 @@ +20 +61 +0.5 +5612977213.829863 +224188000.0 \ No newline at end of file diff --git a/n2/371 b/n2/371 new file mode 100644 index 00000000..af049e57 --- /dev/null +++ b/n2/371 @@ -0,0 +1,5 @@ +20 +61 +1.0 +5837153946.9385195 +448376000.0 \ No newline at end of file diff --git a/n2/372 b/n2/372 new file mode 100644 index 00000000..5f01d3c9 --- /dev/null +++ b/n2/372 @@ -0,0 +1,5 @@ +20 +61 +1.5 +6060564088.048285 +672564000.0 \ No newline at end of file diff --git a/n2/373 b/n2/373 new file mode 100644 index 00000000..4e365699 --- /dev/null +++ b/n2/373 @@ -0,0 +1,5 @@ +20 +61 +2.0 +6284593109.597495 +896752000.0 \ No newline at end of file diff --git a/n2/374 b/n2/374 new file mode 100644 index 00000000..c3b655c1 --- /dev/null +++ b/n2/374 @@ -0,0 +1,5 @@ +20 +61 +2.5 +6508781109.597495 +1120940000.0 \ No newline at end of file diff --git a/n2/375 b/n2/375 new file mode 100644 index 00000000..84dfdd21 --- /dev/null +++ b/n2/375 @@ -0,0 +1,5 @@ +20 +61 +3.0 +6732969109.597495 +1345128000.0 \ No newline at end of file diff --git a/n2/376 b/n2/376 new file mode 100644 index 00000000..fb11405e --- /dev/null +++ b/n2/376 @@ -0,0 +1,5 @@ +20 +61 +3.5 +6957157109.597495 +1569316000.0 \ No newline at end of file diff --git a/n2/377 b/n2/377 new file mode 100644 index 00000000..eff0c97a --- /dev/null +++ b/n2/377 @@ -0,0 +1,5 @@ +20 +61 +4.0 +7181345109.597495 +1793504000.0 \ No newline at end of file diff --git a/n2/378 b/n2/378 new file mode 100644 index 00000000..cfa12f6d --- /dev/null +++ b/n2/378 @@ -0,0 +1,5 @@ +20 +61 +4.5 +7405533109.597495 +2017692000.0 \ No newline at end of file diff --git a/n2/379 b/n2/379 new file mode 100644 index 00000000..9f0b7edc --- /dev/null +++ b/n2/379 @@ -0,0 +1,5 @@ +20 +61 +5.0 +7629721109.597495 +2241880000.0 \ No newline at end of file diff --git a/n2/38 b/n2/38 new file mode 100644 index 00000000..a39328e0 --- /dev/null +++ b/n2/38 @@ -0,0 +1,5 @@ +0 +30 +4.5 +6429111009.0786 +1476360000.0 \ No newline at end of file diff --git a/n2/380 b/n2/380 new file mode 100644 index 00000000..a4c9d6ac --- /dev/null +++ b/n2/380 @@ -0,0 +1,5 @@ +20 +71 +0.5 +5667657213.829863 +278868000.0 \ No newline at end of file diff --git a/n2/381 b/n2/381 new file mode 100644 index 00000000..cf3a91b2 --- /dev/null +++ b/n2/381 @@ -0,0 +1,5 @@ +20 +71 +1.0 +5946497595.300969 +557736000.0 \ No newline at end of file diff --git a/n2/382 b/n2/382 new file mode 100644 index 00000000..0cc06a2d --- /dev/null +++ b/n2/382 @@ -0,0 +1,5 @@ +20 +71 +1.5 +6224436754.755851 +836604000.0 \ No newline at end of file diff --git a/n2/383 b/n2/383 new file mode 100644 index 00000000..5efdc95d --- /dev/null +++ b/n2/383 @@ -0,0 +1,5 @@ +20 +71 +2.0 +6503019227.381708 +1115472000.0 \ No newline at end of file diff --git a/n2/384 b/n2/384 new file mode 100644 index 00000000..88a51a4e --- /dev/null +++ b/n2/384 @@ -0,0 +1,5 @@ +20 +71 +2.5 +6781899165.740534 +1394340000.0 \ No newline at end of file diff --git a/n2/385 b/n2/385 new file mode 100644 index 00000000..cc8cf95c --- /dev/null +++ b/n2/385 @@ -0,0 +1,5 @@ +20 +71 +3.0 +7060767165.740534 +1673208000.0 \ No newline at end of file diff --git a/n2/386 b/n2/386 new file mode 100644 index 00000000..114e0bc6 --- /dev/null +++ b/n2/386 @@ -0,0 +1,5 @@ +20 +71 +3.5 +7339635165.740534 +1952076000.0 \ No newline at end of file diff --git a/n2/387 b/n2/387 new file mode 100644 index 00000000..c14b45a3 --- /dev/null +++ b/n2/387 @@ -0,0 +1,5 @@ +20 +71 +4.0 +7618503165.740534 +2230944000.0 \ No newline at end of file diff --git a/n2/388 b/n2/388 new file mode 100644 index 00000000..c5f07c0a --- /dev/null +++ b/n2/388 @@ -0,0 +1,5 @@ +20 +71 +4.5 +7897371165.740534 +2509812000.0 \ No newline at end of file diff --git a/n2/389 b/n2/389 new file mode 100644 index 00000000..394aacb9 --- /dev/null +++ b/n2/389 @@ -0,0 +1,5 @@ +20 +71 +5.0 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end of file diff --git a/n2/394 b/n2/394 new file mode 100644 index 00000000..5e51ae7d --- /dev/null +++ b/n2/394 @@ -0,0 +1,5 @@ +20 +81 +2.5 +6042796194.359863 +1667740000.0 \ No newline at end of file diff --git a/n2/395 b/n2/395 new file mode 100644 index 00000000..741b42f3 --- /dev/null +++ b/n2/395 @@ -0,0 +1,5 @@ +20 +81 +3.0 +6373419866.039207 +2001288000.0 \ No newline at end of file diff --git a/n2/396 b/n2/396 new file mode 100644 index 00000000..b4011ba1 --- /dev/null +++ b/n2/396 @@ -0,0 +1,5 @@ +20 +81 +3.5 +6706907669.187226 +2334836000.0 \ No newline at end of file diff --git a/n2/397 b/n2/397 new file mode 100644 index 00000000..b39b4aa6 --- /dev/null +++ b/n2/397 @@ -0,0 +1,5 @@ +20 +81 +4.0 +7040455669.187226 +2668384000.0 \ No newline at end of file diff --git a/n2/398 b/n2/398 new file mode 100644 index 00000000..c5856a0b --- /dev/null +++ b/n2/398 @@ -0,0 +1,5 @@ +20 +81 +4.5 +7374003669.187226 +3001932000.0 \ No newline at end of file diff --git a/n2/399 b/n2/399 new file mode 100644 index 00000000..7d79f445 --- /dev/null +++ b/n2/399 @@ -0,0 +1,5 @@ +20 +81 +5.0 +7707551669.187226 +3335480000.0 \ No newline at end of file diff --git a/n2/4 b/n2/4 new file mode 100644 index 00000000..3a4a0ded --- /dev/null +++ b/n2/4 @@ -0,0 +1,5 @@ +0 +0 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/40 b/n2/40 new file mode 100644 index 00000000..faa6caa9 --- /dev/null +++ b/n2/40 @@ -0,0 +1,5 @@ +0 +40 +0.5 +5442085797.974178 +218720000.0 \ No newline at end of file diff --git a/n2/400 b/n2/400 new file mode 100644 index 00000000..0133aa42 --- /dev/null +++ b/n2/400 @@ -0,0 +1,5 @@ +20 +91 +0.5 +5776053091.023755 +388228000.0 \ No newline at end of file diff --git a/n2/401 b/n2/401 new file mode 100644 index 00000000..a033d2c8 --- /dev/null +++ b/n2/401 @@ -0,0 +1,5 @@ +20 +91 +1.0 +6142945777.814065 +776456000.0 \ No newline at end of file diff --git a/n2/402 b/n2/402 new file mode 100644 index 00000000..cfdb855a --- /dev/null +++ b/n2/402 @@ -0,0 +1,5 @@ +20 +91 +1.5 +5669960884.986156 +1164684000.0 \ No newline at end of file diff --git a/n2/403 b/n2/403 new file mode 100644 index 00000000..d496c810 --- /dev/null +++ b/n2/403 @@ -0,0 +1,5 @@ +20 +91 +2.0 +5478464557.348894 +1552912000.0 \ No newline at end of file diff --git a/n2/404 b/n2/404 new file mode 100644 index 00000000..19353c7e --- /dev/null +++ b/n2/404 @@ -0,0 +1,5 @@ +20 +91 +2.5 +5749565938.65969 +1941140000.0 \ No newline at end of file diff --git a/n2/405 b/n2/405 new file mode 100644 index 00000000..830e5efa --- /dev/null +++ b/n2/405 @@ -0,0 +1,5 @@ +20 +91 +3.0 +6090650986.580416 +2329368000.0 \ No newline at end of file diff --git a/n2/406 b/n2/406 new file mode 100644 index 00000000..d3703726 --- /dev/null +++ b/n2/406 @@ -0,0 +1,5 @@ +20 +91 +3.5 +6478104741.781093 +2717596000.0 \ No newline at end of file diff --git a/n2/407 b/n2/407 new file mode 100644 index 00000000..8bc91547 --- /dev/null +++ b/n2/407 @@ -0,0 +1,5 @@ +20 +91 +4.0 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at end of file diff --git a/n2/412 b/n2/412 new file mode 100644 index 00000000..96d8c6c6 --- /dev/null +++ b/n2/412 @@ -0,0 +1,5 @@ +20 +101 +1.5 +5833879571.080864 +1328724000.0 \ No newline at end of file diff --git a/n2/413 b/n2/413 new file mode 100644 index 00000000..7771cbbc --- /dev/null +++ b/n2/413 @@ -0,0 +1,5 @@ +20 +101 +2.0 +5695909445.271087 +1771632000.0 \ No newline at end of file diff --git a/n2/414 b/n2/414 new file mode 100644 index 00000000..e4c868e7 --- /dev/null +++ b/n2/414 @@ -0,0 +1,5 @@ +20 +101 +2.5 +6021657348.938877 +2214540000.0 \ No newline at end of file diff --git a/n2/415 b/n2/415 new file mode 100644 index 00000000..a85ae5a9 --- /dev/null +++ b/n2/415 @@ -0,0 +1,5 @@ +20 +101 +3.0 +6427506600.463096 +2657448000.0 \ No newline at end of file diff --git a/n2/416 b/n2/416 new file mode 100644 index 00000000..bd5a1947 --- /dev/null +++ b/n2/416 @@ -0,0 +1,5 @@ +20 +101 +3.5 +6852405054.581315 +3100356000.0 \ No newline at end of file diff --git a/n2/417 b/n2/417 new file mode 100644 index 00000000..acc9bdf9 --- /dev/null +++ b/n2/417 @@ -0,0 +1,5 @@ +20 +101 +4.0 +7295313054.581315 +3543264000.0 \ No newline at end of file diff --git a/n2/418 b/n2/418 new file mode 100644 index 00000000..362bf711 --- /dev/null +++ b/n2/418 @@ -0,0 +1,5 @@ +20 +101 +4.5 +7738221054.581315 +3986172000.0 \ No newline at end of file diff --git a/n2/419 b/n2/419 new file mode 100644 index 00000000..2a0ae98d --- /dev/null +++ b/n2/419 @@ -0,0 +1,5 @@ +20 +101 +5.0 +8181129054.581315 +4429080000.0 \ No newline at end of file diff --git a/n2/42 b/n2/42 new file mode 100644 index 00000000..8121baab --- /dev/null +++ b/n2/42 @@ -0,0 +1,5 @@ +0 +40 +1.5 +5585864000.945508 +656160000.0 \ No newline at end of file diff --git a/n2/420 b/n2/420 new file mode 100644 index 00000000..4fd052f1 --- /dev/null +++ b/n2/420 @@ -0,0 +1,5 @@ +20 +112 +0.5 +5852175518.08589 +503056000.0 \ No newline at end of file diff --git a/n2/421 b/n2/421 new file mode 100644 index 00000000..a122966a --- /dev/null +++ b/n2/421 @@ -0,0 +1,5 @@ +20 +112 +1.0 +6308306835.747359 +1006112000.0 \ No newline at end of file diff --git a/n2/422 b/n2/422 new file mode 100644 index 00000000..cf30db5f --- /dev/null +++ b/n2/422 @@ -0,0 +1,5 @@ +20 +112 +1.5 +6050857152.521455 +1509168000.0 \ No newline at end of file diff --git a/n2/423 b/n2/423 new file mode 100644 index 00000000..8d67044d --- /dev/null +++ b/n2/423 @@ -0,0 +1,5 @@ +20 +112 +2.0 +4823662435.458245 +2012224000.0 \ No newline at end of file diff --git a/n2/424 b/n2/424 new file mode 100644 index 00000000..aa771d82 --- /dev/null +++ b/n2/424 @@ -0,0 +1,5 @@ +20 +112 +2.5 +5188065705.548252 +2515280000.0 \ No newline at end of file diff --git a/n2/425 b/n2/425 new file mode 100644 index 00000000..1f1d8831 --- /dev/null +++ b/n2/425 @@ -0,0 +1,5 @@ +20 +112 +3.0 +5645374481.322408 +3018336000.0 \ No newline at end of file diff --git a/n2/426 b/n2/426 new file mode 100644 index 00000000..fde2d1cf --- /dev/null +++ b/n2/426 @@ -0,0 +1,5 @@ +20 +112 +3.5 +6113620160.370647 +3521392000.0 \ No newline at end of file diff --git a/n2/427 b/n2/427 new file mode 100644 index 00000000..1ff066b8 --- /dev/null +++ b/n2/427 @@ -0,0 +1,5 @@ +20 +112 +4.0 +6616676160.370647 +4024448000.0 \ No newline at end of file diff --git a/n2/428 b/n2/428 new file mode 100644 index 00000000..a4ca24c9 --- /dev/null +++ b/n2/428 @@ -0,0 +1,5 @@ +20 +112 +4.5 +7119732160.370647 +4527504000.0 \ No newline at end of file diff --git a/n2/429 b/n2/429 new file mode 100644 index 00000000..1a2c9ad0 --- /dev/null +++ b/n2/429 @@ -0,0 +1,5 @@ +20 +112 +5.0 +7622788160.370647 +5030560000.0 \ No newline at end of file diff --git a/n2/43 b/n2/43 new file mode 100644 index 00000000..a371c419 --- /dev/null +++ b/n2/43 @@ -0,0 +1,5 @@ +0 +40 +2.0 +5788950217.352134 +874880000.0 \ No newline at end of file diff --git a/n2/430 b/n2/430 new file mode 100644 index 00000000..d7863fc2 --- /dev/null +++ b/n2/430 @@ -0,0 +1,5 @@ +20 +122 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file diff --git a/n2/440 b/n2/440 new file mode 100644 index 00000000..7a96145d --- /dev/null +++ b/n2/440 @@ -0,0 +1,5 @@ +20 +132 +0.5 +5955571241.134699 +612416000.0 \ No newline at end of file diff --git a/n2/441 b/n2/441 new file mode 100644 index 00000000..f4da839e --- /dev/null +++ b/n2/441 @@ -0,0 +1,5 @@ +20 +132 +1.0 +6513700128.887416 +1224832000.0 \ No newline at end of file diff --git a/n2/442 b/n2/442 new file mode 100644 index 00000000..050057f8 --- /dev/null +++ b/n2/442 @@ -0,0 +1,5 @@ +20 +132 +1.5 +6360240209.235112 +1837248000.0 \ No newline at end of file diff --git a/n2/443 b/n2/443 new file mode 100644 index 00000000..4ad9142c --- /dev/null +++ b/n2/443 @@ -0,0 +1,5 @@ +20 +132 +2.0 +5251656926.462932 +2449664000.0 \ No newline at end of file diff --git a/n2/444 b/n2/444 new file mode 100644 index 00000000..3fa67f00 --- /dev/null +++ b/n2/444 @@ -0,0 +1,5 @@ +20 +132 +2.5 +5486250650.68584 +3062080000.0 \ No newline at end of file diff --git a/n2/445 b/n2/445 new file mode 100644 index 00000000..f0254de4 --- /dev/null +++ b/n2/445 @@ -0,0 +1,5 @@ +20 +132 +3.0 +6000345650.17876 +3674496000.0 \ No newline at end of file diff --git a/n2/446 b/n2/446 new file mode 100644 index 00000000..d6e99f0e --- /dev/null +++ b/n2/446 @@ -0,0 +1,5 @@ +20 +132 +3.5 +6459296199.395722 +4286912000.0 \ No newline at end of file diff --git a/n2/447 b/n2/447 new file mode 100644 index 00000000..8d2a0f4b --- /dev/null +++ b/n2/447 @@ -0,0 +1,5 @@ +20 +132 +4.0 +7071712199.395722 +4899328000.0 \ No newline at end of file diff --git a/n2/448 b/n2/448 new file mode 100644 index 00000000..b1b0d85d --- /dev/null +++ b/n2/448 @@ -0,0 +1,5 @@ +20 +132 +4.5 +7684128199.395722 +5511744000.0 \ No newline at end of file diff --git a/n2/449 b/n2/449 new file mode 100644 index 00000000..7605c64a --- /dev/null +++ b/n2/449 @@ -0,0 +1,5 @@ +20 +132 +5.0 +8296544199.395722 +6124160000.0 \ No newline at end of file diff --git a/n2/45 b/n2/45 new file mode 100644 index 00000000..afa2b3db --- /dev/null +++ b/n2/45 @@ -0,0 +1,5 @@ +0 +40 +3.0 +6226367357.476379 +1312320000.0 \ No newline at end of file diff --git a/n2/450 b/n2/450 new file mode 100644 index 00000000..472bc724 --- /dev/null +++ b/n2/450 @@ -0,0 +1,5 @@ +20 +142 +0.5 +5952860769.615887 +667096000.0 \ No newline at end of file diff --git a/n2/451 b/n2/451 new file mode 100644 index 00000000..add1602c --- /dev/null +++ b/n2/451 @@ -0,0 +1,5 @@ +20 +142 +1.0 +6549900930.801529 +1334192000.0 \ No newline at end of file diff --git a/n2/452 b/n2/452 new file mode 100644 index 00000000..ac0c2547 --- /dev/null +++ b/n2/452 @@ -0,0 +1,5 @@ +20 +142 +1.5 +6441946858.942902 +2001288000.0 \ No newline at end of file diff --git a/n2/453 b/n2/453 new file mode 100644 index 00000000..ab54bde4 --- /dev/null +++ b/n2/453 @@ -0,0 +1,5 @@ +20 +142 +2.0 +5363275134.690685 +2668384000.0 \ No newline at end of file diff --git a/n2/454 b/n2/454 new file mode 100644 index 00000000..66e7346e --- /dev/null +++ b/n2/454 @@ -0,0 +1,5 @@ +20 +142 +2.5 +5647555259.288888 +3335480000.0 \ No newline at end of file diff --git a/n2/455 b/n2/455 new file mode 100644 index 00000000..6d3f6d98 --- /dev/null +++ b/n2/455 @@ -0,0 +1,5 @@ +20 +142 +3.0 +6220935081.171183 +4002576000.0 \ No newline at end of file diff --git a/n2/456 b/n2/456 new file mode 100644 index 00000000..e51dba3e --- /dev/null +++ b/n2/456 @@ -0,0 +1,5 @@ +20 +142 +3.5 +6729909902.320713 +4669672000.0 \ No newline at end of file diff --git a/n2/457 b/n2/457 new file mode 100644 index 00000000..51196cd4 --- /dev/null +++ b/n2/457 @@ -0,0 +1,5 @@ +20 +142 +4.0 +7397005902.320713 +5336768000.0 \ No newline at end of file diff --git a/n2/458 b/n2/458 new file mode 100644 index 00000000..da2d485f --- /dev/null +++ b/n2/458 @@ -0,0 +1,5 @@ +20 +142 +4.5 +8064101902.320713 +6003864000.0 \ No newline at end of file diff --git a/n2/459 b/n2/459 new file mode 100644 index 00000000..888345f1 --- /dev/null +++ b/n2/459 @@ -0,0 +1,5 @@ +20 +142 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No newline at end of file diff --git a/n2/464 b/n2/464 new file mode 100644 index 00000000..174c5429 --- /dev/null +++ b/n2/464 @@ -0,0 +1,5 @@ +20 +152 +2.5 +5595744957.529362 +3608880000.0 \ No newline at end of file diff --git a/n2/465 b/n2/465 new file mode 100644 index 00000000..d7de222e --- /dev/null +++ b/n2/465 @@ -0,0 +1,5 @@ +20 +152 +3.0 +6226108542.652004 +4330656000.0 \ No newline at end of file diff --git a/n2/466 b/n2/466 new file mode 100644 index 00000000..e3c89f5f --- /dev/null +++ b/n2/466 @@ -0,0 +1,5 @@ +20 +152 +3.5 +6785102078.232905 +5052432000.0 \ No newline at end of file diff --git a/n2/467 b/n2/467 new file mode 100644 index 00000000..aeee4d95 --- /dev/null +++ b/n2/467 @@ -0,0 +1,5 @@ +20 +152 +4.0 +7506878078.232905 +5774208000.0 \ No newline at end of file diff --git a/n2/468 b/n2/468 new file mode 100644 index 00000000..e7dfecfd --- /dev/null +++ b/n2/468 @@ -0,0 +1,5 @@ +20 +152 +4.5 +8228654078.232905 +6495984000.0 \ No newline at end of file diff --git a/n2/469 b/n2/469 new file mode 100644 index 00000000..029d279f --- /dev/null +++ b/n2/469 @@ -0,0 +1,5 @@ +20 +152 +5.0 +8950430078.232906 +7217760000.0 \ No newline at end of file diff --git a/n2/47 b/n2/47 new file mode 100644 index 00000000..f95f097e --- /dev/null +++ b/n2/47 @@ -0,0 +1,5 @@ +0 +40 +4.0 +6663807357.476379 +1749760000.0 \ No newline at end of file diff --git a/n2/470 b/n2/470 new file mode 100644 index 00000000..7528d4dd --- /dev/null +++ b/n2/470 @@ -0,0 +1,5 @@ +20 +163 +0.5 +5456404409.959786 +781924000.0 \ No newline at end of file diff --git a/n2/471 b/n2/471 new file mode 100644 index 00000000..24869595 --- /dev/null +++ b/n2/471 @@ -0,0 +1,5 @@ +20 +163 +1.0 +5996265197.205416 +1563848000.0 \ No newline at end of file diff --git a/n2/472 b/n2/472 new file mode 100644 index 00000000..bd33aa78 --- /dev/null +++ b/n2/472 @@ -0,0 +1,5 @@ +20 +163 +1.5 +5885722516.582836 +2345772000.0 \ No newline at end of file diff --git a/n2/473 b/n2/473 new file mode 100644 index 00000000..50a194f4 --- /dev/null +++ b/n2/473 @@ -0,0 +1,5 @@ +20 +163 +2.0 +4780333731.04095 +3127696000.0 \ No newline at end of file diff --git a/n2/474 b/n2/474 new file mode 100644 index 00000000..1ea075b6 --- /dev/null +++ b/n2/474 @@ -0,0 +1,5 @@ +20 +163 +2.5 +5182452791.283449 +3909620000.0 \ No newline at end of file diff --git a/n2/475 b/n2/475 new file mode 100644 index 00000000..f6b72b08 --- /dev/null +++ b/n2/475 @@ -0,0 +1,5 @@ +20 +163 +3.0 +5873188425.895042 +4691544000.0 \ No newline at end of file diff --git a/n2/476 b/n2/476 new file mode 100644 index 00000000..b4ae55ab --- /dev/null +++ b/n2/476 @@ -0,0 +1,5 @@ +20 +163 +3.5 +6494505966.908446 +5473468000.0 \ No newline at end of file diff --git a/n2/477 b/n2/477 new file mode 100644 index 00000000..67df02a5 --- /dev/null +++ b/n2/477 @@ -0,0 +1,5 @@ +20 +163 +4.0 +7276429966.908446 +6255392000.0 \ No newline at end of file diff --git a/n2/478 b/n2/478 new file mode 100644 index 00000000..07db129b --- /dev/null +++ b/n2/478 @@ -0,0 +1,5 @@ +20 +163 +4.5 +8058353966.908446 +7037316000.0 \ No newline at end of file diff --git a/n2/479 b/n2/479 new file mode 100644 index 00000000..90c03d6e --- /dev/null +++ b/n2/479 @@ -0,0 +1,5 @@ +20 +163 +5.0 +8840277966.908447 +7819240000.0 \ No newline at end of file diff --git a/n2/48 b/n2/48 new file mode 100644 index 00000000..1b8e1581 --- /dev/null +++ b/n2/48 @@ -0,0 +1,5 @@ +0 +40 +4.5 +6882527357.47638 +1968480000.0 \ No newline at end of file diff --git a/n2/480 b/n2/480 new file mode 100644 index 00000000..b5d9d3c8 --- /dev/null +++ b/n2/480 @@ -0,0 +1,5 @@ +30 +30 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/481 b/n2/481 new file mode 100644 index 00000000..91f44f61 --- /dev/null +++ b/n2/481 @@ -0,0 +1,5 @@ +30 +30 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/482 b/n2/482 new file mode 100644 index 00000000..428c78fa --- /dev/null +++ b/n2/482 @@ -0,0 +1,5 @@ +30 +30 +1.5 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mode 100644 index 00000000..02509491 --- /dev/null +++ b/n2/488 @@ -0,0 +1,5 @@ +30 +30 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/489 b/n2/489 new file mode 100644 index 00000000..3e8d2b5e --- /dev/null +++ b/n2/489 @@ -0,0 +1,5 @@ +30 +30 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/49 b/n2/49 new file mode 100644 index 00000000..e1d2e17f --- /dev/null +++ b/n2/49 @@ -0,0 +1,5 @@ +0 +40 +5.0 +7101247357.47638 +2187200000.0 \ No newline at end of file diff --git a/n2/490 b/n2/490 new file mode 100644 index 00000000..bdf770d8 --- /dev/null +++ b/n2/490 @@ -0,0 +1,5 @@ +30 +40 +0.5 +5443613528.139369 +54680000.0 \ No newline at end of file diff --git a/n2/491 b/n2/491 new file mode 100644 index 00000000..278f727f --- /dev/null +++ b/n2/491 @@ -0,0 +1,5 @@ +30 +40 +1.0 +5498293528.139369 +109360000.0 \ No newline at end of file diff --git a/n2/492 b/n2/492 new file mode 100644 index 00000000..bd366e22 --- /dev/null +++ b/n2/492 @@ -0,0 +1,5 @@ +30 +40 +1.5 +5552973528.139369 +164040000.0 \ No newline at end of file diff --git a/n2/493 b/n2/493 new file mode 100644 index 00000000..f9cb0b2c --- /dev/null +++ b/n2/493 @@ -0,0 +1,5 @@ +30 +40 +2.0 +5607653528.139369 +218720000.0 \ No newline at end of file diff --git a/n2/494 b/n2/494 new file mode 100644 index 00000000..dfca79af --- /dev/null +++ b/n2/494 @@ -0,0 +1,5 @@ +30 +40 +2.5 +5662333528.139369 +273400000.0 \ No newline at end of file diff --git a/n2/495 b/n2/495 new file mode 100644 index 00000000..4e672aa6 --- /dev/null +++ b/n2/495 @@ -0,0 +1,5 @@ +30 +40 +3.0 +5717013528.139369 +328080000.0 \ No newline at end of file diff --git a/n2/496 b/n2/496 new file mode 100644 index 00000000..6c9cab9d --- /dev/null +++ b/n2/496 @@ -0,0 +1,5 @@ +30 +40 +3.5 +5771693528.139369 +382760000.0 \ No newline at end of file diff --git a/n2/497 b/n2/497 new file mode 100644 index 00000000..2060da25 --- /dev/null +++ b/n2/497 @@ -0,0 +1,5 @@ +30 +40 +4.0 +5826373528.139369 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b/n2/501 new file mode 100644 index 00000000..2e57d4dc --- /dev/null +++ b/n2/501 @@ -0,0 +1,5 @@ +30 +50 +1.0 +5607653103.006453 +218720000.0 \ No newline at end of file diff --git a/n2/502 b/n2/502 new file mode 100644 index 00000000..63a4972b --- /dev/null +++ b/n2/502 @@ -0,0 +1,5 @@ +30 +50 +1.5 +5717013103.006453 +328080000.0 \ No newline at end of file diff --git a/n2/503 b/n2/503 new file mode 100644 index 00000000..f813598f --- /dev/null +++ b/n2/503 @@ -0,0 +1,5 @@ +30 +50 +2.0 +5826373103.006453 +437440000.0 \ No newline at end of file diff --git a/n2/504 b/n2/504 new file mode 100644 index 00000000..533ae378 --- /dev/null +++ b/n2/504 @@ -0,0 +1,5 @@ +30 +50 +2.5 +5935733103.006453 +546800000.0 \ No newline at end of file diff --git a/n2/505 b/n2/505 new file mode 100644 index 00000000..04916fe7 --- /dev/null +++ b/n2/505 @@ -0,0 +1,5 @@ +30 +50 +3.0 +6045093103.006453 +656160000.0 \ No newline at end of file diff --git a/n2/506 b/n2/506 new file mode 100644 index 00000000..ad6fc487 --- /dev/null +++ b/n2/506 @@ -0,0 +1,5 @@ +30 +50 +3.5 +6154453103.006453 +765520000.0 \ No newline at end of file diff --git a/n2/507 b/n2/507 new file mode 100644 index 00000000..d9912c1c --- /dev/null +++ b/n2/507 @@ -0,0 +1,5 @@ +30 +50 +4.0 +6263813103.006453 +874880000.0 \ No newline at end of file diff --git a/n2/508 b/n2/508 new file mode 100644 index 00000000..dc3d38c0 --- /dev/null +++ b/n2/508 @@ -0,0 +1,5 @@ +30 +50 +4.5 +6373173103.006453 +984240000.0 \ No newline at end of file diff --git a/n2/509 b/n2/509 new file mode 100644 index 00000000..4de2a8a1 --- /dev/null +++ b/n2/509 @@ -0,0 +1,5 @@ +30 +50 +5.0 +6482533103.006453 +1093600000.0 \ No newline at end of file diff --git a/n2/51 b/n2/51 new file mode 100644 index 00000000..ca083f6b --- /dev/null +++ b/n2/51 @@ -0,0 +1,5 @@ +0 +50 +1.0 +5508879714.655039 +546800000.0 \ No newline at end of file diff --git a/n2/510 b/n2/510 new file mode 100644 index 00000000..83e8167c --- /dev/null +++ b/n2/510 @@ -0,0 +1,5 @@ +30 +61 +0.5 +5558441103.006453 +169508000.0 \ No newline at end of file diff --git a/n2/511 b/n2/511 new file mode 100644 index 00000000..d2fdccaa --- /dev/null +++ b/n2/511 @@ -0,0 +1,5 @@ +30 +61 +1.0 +5727946166.603492 +339016000.0 \ No newline at end of file diff --git a/n2/512 b/n2/512 new file mode 100644 index 00000000..5f461ce7 --- /dev/null +++ b/n2/512 @@ -0,0 +1,5 @@ +30 +61 +1.5 +5896676799.721098 +508524000.0 \ No newline at end of file diff --git a/n2/513 b/n2/513 new file mode 100644 index 00000000..4ead9956 --- /dev/null +++ b/n2/513 @@ -0,0 +1,5 @@ +30 +61 +2.0 +6066026030.87173 +678032000.0 \ No newline at end of file diff --git a/n2/514 b/n2/514 new file mode 100644 index 00000000..dabd9b9c --- /dev/null +++ b/n2/514 @@ -0,0 +1,5 @@ +30 +61 +2.5 +6235534030.87173 +847540000.0 \ No newline at end of file diff --git a/n2/515 b/n2/515 new file mode 100644 index 00000000..5d3cd1a0 --- /dev/null +++ b/n2/515 @@ -0,0 +1,5 @@ +30 +61 +3.0 +6405042030.87173 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--git a/n2/520 b/n2/520 new file mode 100644 index 00000000..c70351d9 --- /dev/null +++ b/n2/520 @@ -0,0 +1,5 @@ +30 +71 +0.5 +5613121103.006453 +224188000.0 \ No newline at end of file diff --git a/n2/521 b/n2/521 new file mode 100644 index 00000000..0bdd8415 --- /dev/null +++ b/n2/521 @@ -0,0 +1,5 @@ +30 +71 +1.0 +5837302046.615372 +448376000.0 \ No newline at end of file diff --git a/n2/522 b/n2/522 new file mode 100644 index 00000000..0ca9c279 --- /dev/null +++ b/n2/522 @@ -0,0 +1,5 @@ +30 +71 +1.5 +6060607869.0745535 +672564000.0 \ No newline at end of file diff --git a/n2/523 b/n2/523 new file mode 100644 index 00000000..123ccc0f --- /dev/null +++ b/n2/523 @@ -0,0 +1,5 @@ +30 +71 +2.0 +6284569133.223073 +896752000.0 \ No newline at end of file diff --git a/n2/524 b/n2/524 new file mode 100644 index 00000000..a3dd7a74 --- /dev/null +++ b/n2/524 @@ -0,0 +1,5 @@ +30 +71 +2.5 +6508786304.325909 +1120940000.0 \ No newline at end of file diff --git a/n2/525 b/n2/525 new file mode 100644 index 00000000..273292d2 --- /dev/null +++ b/n2/525 @@ -0,0 +1,5 @@ +30 +71 +3.0 +6732974304.325909 +1345128000.0 \ No newline at end of file diff --git a/n2/526 b/n2/526 new file mode 100644 index 00000000..36797f01 --- /dev/null +++ b/n2/526 @@ -0,0 +1,5 @@ +30 +71 +3.5 +6957162304.325909 +1569316000.0 \ No newline at end of file diff --git a/n2/527 b/n2/527 new file mode 100644 index 00000000..a551653f --- /dev/null +++ b/n2/527 @@ -0,0 +1,5 @@ +30 +71 +4.0 +7181350304.325909 +1793504000.0 \ No newline at end of file diff --git a/n2/528 b/n2/528 new file mode 100644 index 00000000..25d6c84b --- /dev/null +++ b/n2/528 @@ -0,0 +1,5 @@ +30 +71 +4.5 +7405538304.325909 +2017692000.0 \ No newline at end of file diff --git a/n2/529 b/n2/529 new file mode 100644 index 00000000..7b42e946 --- /dev/null +++ b/n2/529 @@ -0,0 +1,5 @@ +30 +71 +5.0 +7629726304.325909 +2241880000.0 \ No newline at end of file diff --git a/n2/53 b/n2/53 new file mode 100644 index 00000000..cb614b99 --- /dev/null +++ b/n2/53 @@ -0,0 +1,5 @@ +0 +50 +2.0 +6007659680.728663 +1093600000.0 \ No newline at end of file diff --git a/n2/530 b/n2/530 new file mode 100644 index 00000000..54ef49c4 --- /dev/null +++ b/n2/530 @@ -0,0 +1,5 @@ +30 +81 +0.5 +5667762593.942076 +278868000.0 \ No newline at end of file diff --git a/n2/531 b/n2/531 new file mode 100644 index 00000000..2d3bb54a --- /dev/null +++ b/n2/531 @@ -0,0 +1,5 @@ +30 +81 +1.0 +5927855463.964355 +557736000.0 \ No newline at end of file diff --git a/n2/532 b/n2/532 new file mode 100644 index 00000000..a8b657ac --- /dev/null +++ b/n2/532 @@ -0,0 +1,5 @@ +30 +81 +1.5 +5596414036.910304 +836604000.0 \ No newline at end of file diff --git a/n2/533 b/n2/533 new file mode 100644 index 00000000..10646f89 --- /dev/null +++ b/n2/533 @@ -0,0 +1,5 @@ +30 +81 +2.0 +5540404638.472531 +1115472000.0 \ No newline at end of file diff --git a/n2/534 b/n2/534 new file mode 100644 index 00000000..c62eaa48 --- /dev/null +++ b/n2/534 @@ -0,0 +1,5 @@ +30 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--git a/n2/544 b/n2/544 new file mode 100644 index 00000000..2bd81d60 --- /dev/null +++ b/n2/544 @@ -0,0 +1,5 @@ +30 +91 +2.5 +5713630310.0557 +1667740000.0 \ No newline at end of file diff --git a/n2/545 b/n2/545 new file mode 100644 index 00000000..80d11e66 --- /dev/null +++ b/n2/545 @@ -0,0 +1,5 @@ +30 +91 +3.0 +6042004233.2517 +2001288000.0 \ No newline at end of file diff --git a/n2/546 b/n2/546 new file mode 100644 index 00000000..a873abb7 --- /dev/null +++ b/n2/546 @@ -0,0 +1,5 @@ +30 +91 +3.5 +6375382289.966172 +2334836000.0 \ No newline at end of file diff --git a/n2/547 b/n2/547 new file mode 100644 index 00000000..36efa19b --- /dev/null +++ b/n2/547 @@ -0,0 +1,5 @@ +30 +91 +4.0 +6708930289.966172 +2668384000.0 \ No newline at end of file diff --git a/n2/548 b/n2/548 new file mode 100644 index 00000000..5f877e1c --- /dev/null +++ b/n2/548 @@ -0,0 +1,5 @@ +30 +91 +4.5 +7042478289.966171 +3001932000.0 \ No newline at end of file diff --git a/n2/549 b/n2/549 new file mode 100644 index 00000000..489bbf55 --- /dev/null +++ b/n2/549 @@ -0,0 +1,5 @@ +30 +91 +5.0 +7376026289.966171 +3335480000.0 \ No newline at end of file diff --git a/n2/55 b/n2/55 new file mode 100644 index 00000000..6eb74873 --- /dev/null +++ b/n2/55 @@ -0,0 +1,5 @@ +0 +50 +3.0 +6554436849.768163 +1640400000.0 \ No newline at end of file diff --git a/n2/550 b/n2/550 new file mode 100644 index 00000000..014594b4 --- /dev/null +++ b/n2/550 @@ -0,0 +1,5 @@ +30 +101 +0.5 +5776196979.98007 +388228000.0 \ No newline at end of file diff --git a/n2/551 b/n2/551 new file mode 100644 index 00000000..8fb46bbb --- /dev/null +++ b/n2/551 @@ -0,0 +1,5 @@ +30 +101 +1.0 +6143909501.833723 +776456000.0 \ No newline at end of file diff --git a/n2/552 b/n2/552 new file mode 100644 index 00000000..c13c4f54 --- /dev/null +++ b/n2/552 @@ -0,0 +1,5 @@ +30 +101 +1.5 +5686525644.910157 +1164684000.0 \ No newline at end of file diff --git a/n2/553 b/n2/553 new file mode 100644 index 00000000..72769d59 --- /dev/null +++ b/n2/553 @@ -0,0 +1,5 @@ +30 +101 +2.0 +5657673597.580275 +1552912000.0 \ No newline at end of file diff --git a/n2/554 b/n2/554 new file mode 100644 index 00000000..f7c20d9f --- /dev/null +++ b/n2/554 @@ -0,0 +1,5 @@ +30 +101 +2.5 +5986439505.00728 +1941140000.0 \ No newline at end of file diff --git a/n2/555 b/n2/555 new file mode 100644 index 00000000..1e87e638 --- /dev/null +++ b/n2/555 @@ -0,0 +1,5 @@ +30 +101 +3.0 +6369446528.254789 +2329368000.0 \ No newline at end of file diff --git a/n2/556 b/n2/556 new file mode 100644 index 00000000..52bc67b7 --- /dev/null +++ b/n2/556 @@ -0,0 +1,5 @@ +30 +101 +3.5 +6757501346.383714 +2717596000.0 \ No newline at end of file diff --git a/n2/557 b/n2/557 new file mode 100644 index 00000000..b64bb586 --- /dev/null +++ b/n2/557 @@ -0,0 +1,5 @@ +30 +101 +4.0 +7145729346.383714 +3105824000.0 \ No newline at end of file diff --git a/n2/558 b/n2/558 new file mode 100644 index 00000000..9e2e7a51 --- /dev/null +++ b/n2/558 @@ -0,0 +1,5 @@ +30 +101 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No newline at end of file diff --git a/n2/563 b/n2/563 new file mode 100644 index 00000000..950711f2 --- /dev/null +++ b/n2/563 @@ -0,0 +1,5 @@ +30 +112 +2.0 +4789615627.410605 +1793504000.0 \ No newline at end of file diff --git a/n2/564 b/n2/564 new file mode 100644 index 00000000..d9201fda --- /dev/null +++ b/n2/564 @@ -0,0 +1,5 @@ +30 +112 +2.5 +5152909596.374125 +2241880000.0 \ No newline at end of file diff --git a/n2/565 b/n2/565 new file mode 100644 index 00000000..da865499 --- /dev/null +++ b/n2/565 @@ -0,0 +1,5 @@ +30 +112 +3.0 +5587764878.937609 +2690256000.0 \ No newline at end of file diff --git a/n2/566 b/n2/566 new file mode 100644 index 00000000..acf019bb --- /dev/null +++ b/n2/566 @@ -0,0 +1,5 @@ +30 +112 +3.5 +6035725370.333593 +3138632000.0 \ No newline at end of file diff --git a/n2/567 b/n2/567 new file mode 100644 index 00000000..e13491a6 --- /dev/null +++ b/n2/567 @@ -0,0 +1,5 @@ +30 +112 +4.0 +6484101370.333593 +3587008000.0 \ No newline at end of file diff --git a/n2/568 b/n2/568 new file mode 100644 index 00000000..d4de49c9 --- /dev/null +++ b/n2/568 @@ -0,0 +1,5 @@ +30 +112 +4.5 +6932477370.333593 +4035384000.0 \ No newline at end of file diff --git a/n2/569 b/n2/569 new file mode 100644 index 00000000..5e6eae92 --- /dev/null +++ b/n2/569 @@ -0,0 +1,5 @@ +30 +112 +5.0 +7380853370.333593 +4483760000.0 \ No newline at end of file diff --git a/n2/57 b/n2/57 new file mode 100644 index 00000000..f1c2d829 --- /dev/null +++ b/n2/57 @@ -0,0 +1,5 @@ +0 +50 +4.0 +7101236849.768164 +2187200000.0 \ No newline at end of file diff --git a/n2/570 b/n2/570 new file mode 100644 index 00000000..56b79dba --- /dev/null +++ b/n2/570 @@ -0,0 +1,5 @@ +30 +122 +0.5 +5850421304.180486 +503056000.0 \ No newline at end of file diff --git a/n2/571 b/n2/571 new file mode 100644 index 00000000..b0130ed3 --- /dev/null +++ b/n2/571 @@ -0,0 +1,5 @@ +30 +122 +1.0 +6303712388.0833235 +1006112000.0 \ No newline at end of file diff --git a/n2/572 b/n2/572 new file mode 100644 index 00000000..f9896cd7 --- /dev/null +++ b/n2/572 @@ -0,0 +1,5 @@ +30 +122 +1.5 +6059516817.458654 +1509168000.0 \ No newline at end of file diff --git a/n2/573 b/n2/573 new file mode 100644 index 00000000..1ac300f9 --- /dev/null +++ b/n2/573 @@ -0,0 +1,5 @@ +30 +122 +2.0 +5015738720.037274 +2012224000.0 \ No newline at end of file diff --git a/n2/574 b/n2/574 new file mode 100644 index 00000000..cf28d370 --- /dev/null +++ b/n2/574 @@ -0,0 +1,5 @@ +30 +122 +2.5 +5205872112.113971 +2515280000.0 \ No newline at end of file diff --git a/n2/575 b/n2/575 new file mode 100644 index 00000000..c95a2044 --- /dev/null +++ b/n2/575 @@ -0,0 +1,5 @@ +30 +122 +3.0 +5648034424.570071 +3018336000.0 \ No newline at end of file diff --git a/n2/576 b/n2/576 new file mode 100644 index 00000000..e5dbd13e --- /dev/null +++ b/n2/576 @@ -0,0 +1,5 @@ +30 +122 +3.5 +6032303674.491105 +3521392000.0 \ No newline at end of file diff --git a/n2/577 b/n2/577 new file mode 100644 index 00000000..0b58459b --- /dev/null +++ b/n2/577 @@ -0,0 +1,5 @@ +30 +122 +4.0 +6535359674.491104 +4024448000.0 \ No newline at end of file diff --git a/n2/578 b/n2/578 new file mode 100644 index 00000000..d4c5f101 --- /dev/null +++ b/n2/578 @@ -0,0 +1,5 @@ +30 +122 +4.5 +7038415674.491104 +4527504000.0 \ No newline at end of file diff --git a/n2/579 b/n2/579 new file mode 100644 index 00000000..4d2a34b9 --- /dev/null +++ b/n2/579 @@ -0,0 +1,5 @@ +30 +122 +5.0 +7541471674.491104 +5030560000.0 \ No newline at end of file diff --git a/n2/58 b/n2/58 new file mode 100644 index 00000000..187b5269 --- /dev/null +++ b/n2/58 @@ -0,0 +1,5 @@ +0 +50 +4.5 +7374636849.768164 +2460600000.0 \ No newline at end of file diff --git a/n2/580 b/n2/580 new file mode 100644 index 00000000..d42f7c0c --- /dev/null +++ b/n2/580 @@ -0,0 +1,5 @@ +30 +132 +0.5 +5901034816.3657255 +557736000.0 \ No newline at end of file diff --git a/n2/581 b/n2/581 new file mode 100644 index 00000000..a0f26111 --- /dev/null +++ b/n2/581 @@ -0,0 +1,5 @@ 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diff --git a/n2/591 b/n2/591 new file mode 100644 index 00000000..2fcc6ee6 --- /dev/null +++ b/n2/591 @@ -0,0 +1,5 @@ +30 +142 +1.0 +6441497380.491581 +1224832000.0 \ No newline at end of file diff --git a/n2/592 b/n2/592 new file mode 100644 index 00000000..1764f207 --- /dev/null +++ b/n2/592 @@ -0,0 +1,5 @@ +30 +142 +1.5 +6294718406.892211 +1837248000.0 \ No newline at end of file diff --git a/n2/593 b/n2/593 new file mode 100644 index 00000000..7129471e --- /dev/null +++ b/n2/593 @@ -0,0 +1,5 @@ +30 +142 +2.0 +5328979044.394957 +2449664000.0 \ No newline at end of file diff --git a/n2/594 b/n2/594 new file mode 100644 index 00000000..5ea65829 --- /dev/null +++ b/n2/594 @@ -0,0 +1,5 @@ +30 +142 +2.5 +5611703046.783407 +3062080000.0 \ No newline at end of file diff --git a/n2/595 b/n2/595 new file mode 100644 index 00000000..11171dc4 --- /dev/null +++ b/n2/595 @@ -0,0 +1,5 @@ +30 +142 +3.0 +6162664475.877346 +3674496000.0 \ No newline at end of file diff --git a/n2/596 b/n2/596 new 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+++ b/n2/60 @@ -0,0 +1,5 @@ +0 +61 +0.5 +5556912282.849134 +333548000.0 \ No newline at end of file diff --git a/n2/600 b/n2/600 new file mode 100644 index 00000000..da913fea --- /dev/null +++ b/n2/600 @@ -0,0 +1,5 @@ +30 +152 +0.5 +5737507038.62605 +667096000.0 \ No newline at end of file diff --git a/n2/601 b/n2/601 new file mode 100644 index 00000000..ecfbc20b --- /dev/null +++ b/n2/601 @@ -0,0 +1,5 @@ +30 +152 +1.0 +6250087912.188049 +1334192000.0 \ No newline at end of file diff --git a/n2/602 b/n2/602 new file mode 100644 index 00000000..112b6a81 --- /dev/null +++ b/n2/602 @@ -0,0 +1,5 @@ +30 +152 +1.5 +6133412403.910566 +2001288000.0 \ No newline at end of file diff --git a/n2/603 b/n2/603 new file mode 100644 index 00000000..8d12c154 --- /dev/null +++ b/n2/603 @@ -0,0 +1,5 @@ +30 +152 +2.0 +5220561247.514489 +2668384000.0 \ No newline at end of file diff --git a/n2/604 b/n2/604 new file mode 100644 index 00000000..4cab8b81 --- /dev/null +++ b/n2/604 @@ -0,0 +1,5 @@ +30 +152 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diff --git a/n2/614 b/n2/614 new file mode 100644 index 00000000..582eefd7 --- /dev/null +++ b/n2/614 @@ -0,0 +1,5 @@ +30 +163 +2.5 +5144534074.0783615 +3636220000.0 \ No newline at end of file diff --git a/n2/615 b/n2/615 new file mode 100644 index 00000000..fca75a67 --- /dev/null +++ b/n2/615 @@ -0,0 +1,5 @@ +30 +163 +3.0 +5812381621.566485 +4363464000.0 \ No newline at end of file diff --git a/n2/616 b/n2/616 new file mode 100644 index 00000000..d77f92c3 --- /dev/null +++ b/n2/616 @@ -0,0 +1,5 @@ +30 +163 +3.5 +6412122992.803271 +5090708000.0 \ No newline at end of file diff --git a/n2/617 b/n2/617 new file mode 100644 index 00000000..f9e5967e --- /dev/null +++ b/n2/617 @@ -0,0 +1,5 @@ +30 +163 +4.0 +7139366992.803271 +5817952000.0 \ No newline at end of file diff --git a/n2/618 b/n2/618 new file mode 100644 index 00000000..ded237c6 --- /dev/null +++ b/n2/618 @@ -0,0 +1,5 @@ +30 +163 +4.5 +7866610992.803271 +6545196000.0 \ No newline at end of file diff --git a/n2/619 b/n2/619 new file mode 100644 index 00000000..d85ccaec --- /dev/null +++ b/n2/619 @@ -0,0 +1,5 @@ +30 +163 +5.0 +8593854992.803274 +7272440000.0 \ No newline at end of file diff --git a/n2/62 b/n2/62 new file mode 100644 index 00000000..2e418ee3 --- /dev/null +++ b/n2/62 @@ -0,0 +1,5 @@ +0 +61 +1.5 +5896051395.06283 +1000644000.0 \ No newline at end of file diff --git a/n2/620 b/n2/620 new file mode 100644 index 00000000..4ccc4d72 --- /dev/null +++ b/n2/620 @@ -0,0 +1,5 @@ +40 +40 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/621 b/n2/621 new file mode 100644 index 00000000..b2d3cdc4 --- /dev/null +++ b/n2/621 @@ -0,0 +1,5 @@ +40 +40 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/622 b/n2/622 new file mode 100644 index 00000000..71c03306 --- /dev/null +++ b/n2/622 @@ -0,0 +1,5 @@ +40 +40 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/623 b/n2/623 new file mode 100644 index 00000000..b642399d --- /dev/null +++ b/n2/623 @@ -0,0 +1,5 @@ +40 +40 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/624 b/n2/624 new file mode 100644 index 00000000..502d101d --- /dev/null +++ b/n2/624 @@ -0,0 +1,5 @@ +40 +40 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/625 b/n2/625 new file mode 100644 index 00000000..95095c67 --- /dev/null +++ b/n2/625 @@ -0,0 +1,5 @@ +40 +40 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/626 b/n2/626 new file mode 100644 index 00000000..d5fb7c8f --- /dev/null +++ b/n2/626 @@ -0,0 +1,5 @@ +40 +40 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/627 b/n2/627 new file mode 100644 index 00000000..dc41e861 --- /dev/null +++ b/n2/627 @@ -0,0 +1,5 @@ +40 +40 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/628 b/n2/628 new file mode 100644 index 00000000..7a240a12 --- /dev/null +++ b/n2/628 @@ -0,0 +1,5 @@ +40 +40 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/629 b/n2/629 new file mode 100644 index 00000000..e7908481 --- /dev/null +++ b/n2/629 @@ -0,0 +1,5 @@ +40 +40 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/63 b/n2/63 new file mode 100644 index 00000000..57f8c54a --- /dev/null +++ b/n2/63 @@ -0,0 +1,5 @@ +0 +61 +2.0 +6190553537.416011 +1334192000.0 \ No newline at end of file diff --git a/n2/630 b/n2/630 new file mode 100644 index 00000000..04961d30 --- /dev/null +++ b/n2/630 @@ -0,0 +1,5 @@ +40 +50 +0.5 +5443775924.93267 +54680000.0 \ No newline at end of file diff --git a/n2/631 b/n2/631 new file mode 100644 index 00000000..969a5c9e --- /dev/null +++ b/n2/631 @@ -0,0 +1,5 @@ +40 +50 +1.0 +5498455924.93267 +109360000.0 \ No newline at end of file diff --git a/n2/632 b/n2/632 new file mode 100644 index 00000000..7d5fc252 --- /dev/null +++ b/n2/632 @@ -0,0 +1,5 @@ +40 +50 +1.5 +5553135924.93267 +164040000.0 \ No newline at end of file diff --git a/n2/633 b/n2/633 new file mode 100644 index 00000000..b1d9956f --- /dev/null +++ b/n2/633 @@ -0,0 +1,5 @@ +40 +50 +2.0 +5607815924.93267 +218720000.0 \ No newline at end of file diff --git a/n2/634 b/n2/634 new file mode 100644 index 00000000..11a649d1 --- /dev/null +++ b/n2/634 @@ -0,0 +1,5 @@ +40 +50 +2.5 +5662495924.93267 +273400000.0 \ No newline at end of file diff --git a/n2/635 b/n2/635 new file mode 100644 index 00000000..bdad8771 --- /dev/null +++ b/n2/635 @@ -0,0 +1,5 @@ +40 +50 +3.0 +5717175924.93267 +328080000.0 \ No newline at end of file diff --git a/n2/636 b/n2/636 new file mode 100644 index 00000000..70f32da1 --- /dev/null +++ b/n2/636 @@ -0,0 +1,5 @@ +40 +50 +3.5 +5771855924.93267 +382760000.0 \ No newline at end of file diff --git a/n2/637 b/n2/637 new file mode 100644 index 00000000..77d4fcd2 --- /dev/null +++ b/n2/637 @@ -0,0 +1,5 @@ +40 +50 +4.0 +5826535924.93267 +437440000.0 \ No newline at end of file diff --git a/n2/638 b/n2/638 new file mode 100644 index 00000000..4c9208ce --- /dev/null +++ b/n2/638 @@ -0,0 +1,5 @@ +40 +50 +4.5 +5881215924.93267 +492120000.0 \ No newline at end of file diff --git a/n2/639 b/n2/639 new file mode 100644 index 00000000..f9a9fc0a --- /dev/null +++ b/n2/639 @@ -0,0 +1,5 @@ +40 +50 +5.0 +5935895924.93267 +546800000.0 \ No newline at end of file diff --git a/n2/64 b/n2/64 new file mode 100644 index 00000000..718b1266 --- /dev/null +++ b/n2/64 @@ -0,0 +1,5 @@ +0 +61 +2.5 +6519059881.518908 +1667740000.0 \ No newline at end of file diff --git a/n2/640 b/n2/640 new file mode 100644 index 00000000..e6c6cddf --- /dev/null +++ b/n2/640 @@ -0,0 +1,5 @@ +40 +61 +0.5 +5503923924.93267 +114828000.0 \ No newline at end of file diff --git a/n2/641 b/n2/641 new file mode 100644 index 00000000..8d9c5acf --- /dev/null +++ b/n2/641 @@ -0,0 +1,5 @@ +40 +61 +1.0 +5618748988.529709 +229656000.0 \ No newline at end of file diff --git a/n2/642 b/n2/642 new file mode 100644 index 00000000..55816582 --- /dev/null +++ b/n2/642 @@ -0,0 +1,5 @@ +40 +61 +1.5 +5732799621.647316 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--git a/n2/648 b/n2/648 new file mode 100644 index 00000000..0e48bfbb --- /dev/null +++ b/n2/648 @@ -0,0 +1,5 @@ +40 +61 +4.5 +6421608852.797948 +1033452000.0 \ No newline at end of file diff --git a/n2/649 b/n2/649 new file mode 100644 index 00000000..943ca9c3 --- /dev/null +++ b/n2/649 @@ -0,0 +1,5 @@ +40 +61 +5.0 +6536436852.797948 +1148280000.0 \ No newline at end of file diff --git a/n2/65 b/n2/65 new file mode 100644 index 00000000..bdc131b1 --- /dev/null +++ b/n2/65 @@ -0,0 +1,5 @@ +0 +61 +3.0 +6851852855.087465 +2001288000.0 \ No newline at end of file diff --git a/n2/650 b/n2/650 new file mode 100644 index 00000000..9ebe0194 --- /dev/null +++ b/n2/650 @@ -0,0 +1,5 @@ +40 +71 +0.5 +5558603924.93267 +169508000.0 \ No newline at end of file diff --git a/n2/651 b/n2/651 new file mode 100644 index 00000000..5538eaf2 --- /dev/null +++ b/n2/651 @@ -0,0 +1,5 @@ +40 +71 +1.0 +5728104868.54159 +339016000.0 \ No newline at end of file diff --git a/n2/652 b/n2/652 new file mode 100644 index 00000000..1edfbfef --- /dev/null +++ b/n2/652 @@ -0,0 +1,5 @@ +40 +71 +1.5 +5896776647.148533 +508524000.0 \ No newline at end of file diff --git a/n2/653 b/n2/653 new file mode 100644 index 00000000..640f44ac --- /dev/null +++ b/n2/653 @@ -0,0 +1,5 @@ +40 +71 +2.0 +6066054760.956971 +678032000.0 \ No newline at end of file diff --git a/n2/654 b/n2/654 new file mode 100644 index 00000000..dd9b074d --- /dev/null +++ b/n2/654 @@ -0,0 +1,5 @@ +40 +71 +2.5 +6235552928.121381 +847540000.0 \ No newline at end of file diff --git a/n2/655 b/n2/655 new file mode 100644 index 00000000..ef8d52a8 --- /dev/null +++ b/n2/655 @@ -0,0 +1,5 @@ +40 +71 +3.0 +6405060928.121381 +1017048000.0 \ No newline at end of file diff --git a/n2/656 b/n2/656 new file mode 100644 index 00000000..068e9993 --- /dev/null +++ b/n2/656 @@ -0,0 +1,5 @@ +40 +71 +3.5 +6574568928.121381 +1186556000.0 \ No newline at end of file diff --git a/n2/657 b/n2/657 new file mode 100644 index 00000000..751f8913 --- /dev/null +++ b/n2/657 @@ -0,0 +1,5 @@ +40 +71 +4.0 +6744076928.121381 +1356064000.0 \ No newline at end of file diff --git a/n2/658 b/n2/658 new file mode 100644 index 00000000..31ce768a --- /dev/null +++ b/n2/658 @@ -0,0 +1,5 @@ +40 +71 +4.5 +6913584928.121381 +1525572000.0 \ No newline at end of file diff --git a/n2/659 b/n2/659 new file mode 100644 index 00000000..964e2b25 --- /dev/null +++ b/n2/659 @@ -0,0 +1,5 @@ +40 +71 +5.0 +7083092928.121381 +1695080000.0 \ No newline at end of file diff --git a/n2/66 b/n2/66 new file mode 100644 index 00000000..200f646c --- /dev/null +++ b/n2/66 @@ -0,0 +1,5 @@ +0 +61 +3.5 +7185545860.570938 +2334836000.0 \ No newline at end of file diff --git a/n2/660 b/n2/660 new file mode 100644 index 00000000..3809ba77 --- /dev/null +++ b/n2/660 @@ -0,0 +1,5 @@ +40 +81 +0.5 +5613245415.868295 +224188000.0 \ No newline at end of file diff --git a/n2/661 b/n2/661 new file mode 100644 index 00000000..5c02d0ad --- /dev/null +++ b/n2/661 @@ -0,0 +1,5 @@ +40 +81 +1.0 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newline at end of file diff --git a/n2/667 b/n2/667 new file mode 100644 index 00000000..064a2843 --- /dev/null +++ b/n2/667 @@ -0,0 +1,5 @@ +40 +81 +4.0 +6225695004.990402 +1793504000.0 \ No newline at end of file diff --git a/n2/668 b/n2/668 new file mode 100644 index 00000000..ba961f6d --- /dev/null +++ b/n2/668 @@ -0,0 +1,5 @@ +40 +81 +4.5 +6449883004.990402 +2017692000.0 \ No newline at end of file diff --git a/n2/669 b/n2/669 new file mode 100644 index 00000000..cc0c3d43 --- /dev/null +++ b/n2/669 @@ -0,0 +1,5 @@ +40 +81 +5.0 +6674071004.990402 +2241880000.0 \ No newline at end of file diff --git a/n2/67 b/n2/67 new file mode 100644 index 00000000..c2c5f1aa --- /dev/null +++ b/n2/67 @@ -0,0 +1,5 @@ +0 +61 +4.0 +7519093860.570938 +2668384000.0 \ No newline at end of file diff --git a/n2/670 b/n2/670 new file mode 100644 index 00000000..95e59520 --- /dev/null +++ b/n2/670 @@ -0,0 +1,5 @@ +40 +91 +0.5 +5666999801.906286 +278868000.0 \ No newline at end of file diff --git a/n2/671 b/n2/671 new file mode 100644 index 00000000..0bdb8438 --- /dev/null +++ b/n2/671 @@ -0,0 +1,5 @@ +40 +91 +1.0 +5925754967.3775835 +557736000.0 \ No newline at end of file diff --git a/n2/672 b/n2/672 new file mode 100644 index 00000000..25460173 --- /dev/null +++ b/n2/672 @@ -0,0 +1,5 @@ +40 +91 +1.5 +5382005033.891973 +836604000.0 \ No newline at end of file diff --git a/n2/673 b/n2/673 new file mode 100644 index 00000000..5955f084 --- /dev/null +++ b/n2/673 @@ -0,0 +1,5 @@ +40 +91 +2.0 +5245716382.193433 +1115472000.0 \ No newline at end of file diff --git a/n2/674 b/n2/674 new file mode 100644 index 00000000..01b783be --- /dev/null +++ b/n2/674 @@ -0,0 +1,5 @@ +40 +91 +2.5 +5514954805.884784 +1394340000.0 \ No newline at end of file diff --git a/n2/675 b/n2/675 new file mode 100644 index 00000000..82131f7f --- /dev/null +++ b/n2/675 @@ -0,0 +1,5 @@ +40 +91 +3.0 +5793763062.659036 +1673208000.0 \ No newline at end of file diff --git a/n2/676 b/n2/676 new file mode 100644 index 00000000..2a8b7021 --- /dev/null +++ b/n2/676 @@ -0,0 +1,5 @@ +40 +91 +3.5 +6072631062.659036 +1952076000.0 \ No newline at end of file diff --git a/n2/677 b/n2/677 new file mode 100644 index 00000000..5054aef2 --- /dev/null +++ b/n2/677 @@ -0,0 +1,5 @@ +40 +91 +4.0 +6351499062.659036 +2230944000.0 \ No newline at end of file diff --git a/n2/678 b/n2/678 new file mode 100644 index 00000000..f58acd0d --- /dev/null +++ b/n2/678 @@ -0,0 +1,5 @@ +40 +91 +4.5 +6630367062.659036 +2509812000.0 \ No newline at end of file diff --git a/n2/679 b/n2/679 new file mode 100644 index 00000000..d3aa3dc3 --- /dev/null +++ b/n2/679 @@ -0,0 +1,5 @@ +40 +91 +5.0 +6909235062.659036 +2788680000.0 \ No newline at end of file diff --git a/n2/68 b/n2/68 new file mode 100644 index 00000000..b3164d6b --- /dev/null +++ b/n2/68 @@ -0,0 +1,5 @@ +0 +61 +4.5 +7852641860.570938 +3001932000.0 \ No newline at end of file diff --git a/n2/680 b/n2/680 new file mode 100644 index 00000000..fa215a33 --- /dev/null +++ b/n2/680 @@ -0,0 +1,5 @@ +40 +101 +0.5 +5721679801.906286 +333548000.0 \ No newline at end of file diff --git a/n2/681 b/n2/681 new file mode 100644 index 00000000..d27dc724 --- /dev/null +++ b/n2/681 @@ -0,0 +1,5 @@ +40 +101 +1.0 +6035114967.3775835 +667096000.0 \ No newline at end of file diff --git a/n2/682 b/n2/682 new file mode 100644 index 00000000..8b88ce25 --- /dev/null +++ b/n2/682 @@ -0,0 +1,5 @@ +40 +101 +1.5 +5546045033.891973 +1000644000.0 \ No newline at end of file diff --git a/n2/683 b/n2/683 new file mode 100644 index 00000000..35a9ba7c --- /dev/null +++ b/n2/683 @@ -0,0 +1,5 @@ +40 +101 +2.0 +5464436382.193433 +1334192000.0 \ No newline at end of file diff --git a/n2/684 b/n2/684 new file mode 100644 index 00000000..2c50e020 --- /dev/null +++ b/n2/684 @@ -0,0 +1,5 @@ +40 +101 +2.5 +5788354805.884784 +1667740000.0 \ No newline at end of file diff --git a/n2/685 b/n2/685 new file mode 100644 index 00000000..2dd73c25 --- /dev/null +++ b/n2/685 @@ -0,0 +1,5 @@ +40 +101 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No newline at end of file diff --git a/n2/690 b/n2/690 new file mode 100644 index 00000000..7fbe306c --- /dev/null +++ b/n2/690 @@ -0,0 +1,5 @@ +40 +112 +0.5 +5743122224.810173 +393696000.0 \ No newline at end of file diff --git a/n2/691 b/n2/691 new file mode 100644 index 00000000..292ec04b --- /dev/null +++ b/n2/691 @@ -0,0 +1,5 @@ +40 +112 +1.0 +6092323198.901665 +787392000.0 \ No newline at end of file diff --git a/n2/692 b/n2/692 new file mode 100644 index 00000000..53cdbef8 --- /dev/null +++ b/n2/692 @@ -0,0 +1,5 @@ +40 +112 +1.5 +5774289312.062023 +1181088000.0 \ No newline at end of file diff --git a/n2/693 b/n2/693 new file mode 100644 index 00000000..dd400701 --- /dev/null +++ b/n2/693 @@ -0,0 +1,5 @@ +40 +112 +2.0 +4728326601.515008 +1574784000.0 \ No newline at end of file diff --git a/n2/694 b/n2/694 new file mode 100644 index 00000000..39245460 --- /dev/null +++ b/n2/694 @@ -0,0 +1,5 @@ +40 +112 +2.5 +5078448369.661182 +1968480000.0 \ No newline at end of file diff --git a/n2/695 b/n2/695 new file mode 100644 index 00000000..796a8e6c --- /dev/null +++ b/n2/695 @@ -0,0 +1,5 @@ +40 +112 +3.0 +5470268910.3816595 +2362176000.0 \ No newline at end of file diff --git a/n2/696 b/n2/696 new file mode 100644 index 00000000..c42e5ef3 --- /dev/null +++ b/n2/696 @@ -0,0 +1,5 @@ +40 +112 +3.5 +5863711359.664395 +2755872000.0 \ No newline at end of file diff --git a/n2/697 b/n2/697 new file mode 100644 index 00000000..59ebde50 --- /dev/null +++ b/n2/697 @@ -0,0 +1,5 @@ +40 +112 +4.0 +6257407359.664395 +3149568000.0 \ No newline at end of file diff --git a/n2/698 b/n2/698 new file mode 100644 index 00000000..f4f29358 --- /dev/null +++ b/n2/698 @@ -0,0 +1,5 @@ +40 +112 +4.5 +6651103359.664395 +3543264000.0 \ No newline at end of file diff --git a/n2/699 b/n2/699 new file mode 100644 index 00000000..abfaceac --- /dev/null +++ b/n2/699 @@ -0,0 +1,5 @@ +40 +112 +5.0 +7044799359.664395 +3936960000.0 \ No newline at end of file diff --git a/n2/7 b/n2/7 new file mode 100644 index 00000000..97ef2692 --- /dev/null +++ b/n2/7 @@ -0,0 +1,5 @@ +0 +0 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/70 b/n2/70 new file mode 100644 index 00000000..0e81cbe9 --- /dev/null +++ b/n2/70 @@ -0,0 +1,5 @@ +0 +71 +0.5 +5611592282.849134 +388228000.0 \ No newline at end of file diff --git a/n2/700 b/n2/700 new file mode 100644 index 00000000..de72b78b --- /dev/null +++ b/n2/700 @@ -0,0 +1,5 @@ +40 +122 +0.5 +5795904058.086603 +448376000.0 \ No newline at end of file diff --git a/n2/701 b/n2/701 new file mode 100644 index 00000000..24c45695 --- /dev/null +++ b/n2/701 @@ -0,0 +1,5 @@ +40 +122 +1.0 +6196111184.956906 +896752000.0 \ No newline at end of file diff --git a/n2/702 b/n2/702 new file mode 100644 index 00000000..2dec4217 --- /dev/null +++ b/n2/702 @@ -0,0 +1,5 @@ +40 +122 +1.5 +5929064602.366666 +1345128000.0 \ No newline at end of file diff --git a/n2/703 b/n2/703 new file mode 100644 index 00000000..b511067e --- /dev/null +++ b/n2/703 @@ -0,0 +1,5 @@ +40 +122 +2.0 +4915614891.404256 +1793504000.0 \ No newline at end of file diff --git a/n2/704 b/n2/704 new file mode 100644 index 00000000..d7e222de --- /dev/null +++ b/n2/704 @@ -0,0 +1,5 @@ +40 +122 +2.5 +5308862745.194912 +2241880000.0 \ No newline at end of file diff --git a/n2/705 b/n2/705 new file mode 100644 index 00000000..bf8e2cd0 --- /dev/null +++ b/n2/705 @@ -0,0 +1,5 @@ +40 +122 +3.0 +5752599369.465529 +2690256000.0 \ No newline at end of file diff --git a/n2/706 b/n2/706 new file mode 100644 index 00000000..80d3c9ca --- /dev/null +++ b/n2/706 @@ -0,0 +1,5 @@ +40 +122 +3.5 +6200743949.739351 +3138632000.0 \ No newline at end of file diff --git a/n2/707 b/n2/707 new file mode 100644 index 00000000..f65886fb --- /dev/null +++ b/n2/707 @@ -0,0 +1,5 @@ +40 +122 +4.0 +6649119949.739351 +3587008000.0 \ No newline at end of file diff --git a/n2/708 b/n2/708 new file mode 100644 index 00000000..c188adde --- /dev/null +++ b/n2/708 @@ -0,0 +1,5 @@ +40 +122 +4.5 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newline at end of file diff --git a/n2/713 b/n2/713 new file mode 100644 index 00000000..9fc42efe --- /dev/null +++ b/n2/713 @@ -0,0 +1,5 @@ +40 +132 +2.0 +5117450898.657837 +2012224000.0 \ No newline at end of file diff --git a/n2/714 b/n2/714 new file mode 100644 index 00000000..51db1105 --- /dev/null +++ b/n2/714 @@ -0,0 +1,5 @@ +40 +132 +2.5 +5553665684.697922 +2515280000.0 \ No newline at end of file diff --git a/n2/715 b/n2/715 new file mode 100644 index 00000000..ec8e4118 --- /dev/null +++ b/n2/715 @@ -0,0 +1,5 @@ +40 +132 +3.0 +6047006354.102618 +3018336000.0 \ No newline at end of file diff --git a/n2/716 b/n2/716 new file mode 100644 index 00000000..3f443a48 --- /dev/null +++ b/n2/716 @@ -0,0 +1,5 @@ +40 +132 +3.5 +6549223479.753328 +3521392000.0 \ No newline at end of file diff --git a/n2/717 b/n2/717 new file mode 100644 index 00000000..a1b14de2 --- /dev/null +++ b/n2/717 @@ -0,0 +1,5 @@ +40 +132 +4.0 +7052279479.753328 +4024448000.0 \ No newline at end of file diff --git a/n2/718 b/n2/718 new file mode 100644 index 00000000..f7fff89d --- /dev/null +++ b/n2/718 @@ -0,0 +1,5 @@ +40 +132 +4.5 +7555335479.753328 +4527504000.0 \ No newline at end of file diff --git a/n2/719 b/n2/719 new file mode 100644 index 00000000..4477e000 --- /dev/null +++ b/n2/719 @@ -0,0 +1,5 @@ +40 +132 +5.0 +8058391479.753328 +5030560000.0 \ No newline at end of file diff --git a/n2/72 b/n2/72 new file mode 100644 index 00000000..6efb1563 --- /dev/null +++ b/n2/72 @@ -0,0 +1,5 @@ +0 +71 +1.5 +6058416965.025374 +1164684000.0 \ No newline at end of file diff --git a/n2/720 b/n2/720 new file mode 100644 index 00000000..72c67a93 --- /dev/null +++ b/n2/720 @@ -0,0 +1,5 @@ +40 +142 +0.5 +5843805541.019459 +557736000.0 \ No newline at end of file diff --git a/n2/721 b/n2/721 new file mode 100644 index 00000000..ae5f27e1 --- /dev/null +++ b/n2/721 @@ -0,0 +1,5 @@ +40 +142 +1.0 +6333892281.206433 +1115472000.0 \ No newline at end of file diff --git a/n2/722 b/n2/722 new file mode 100644 index 00000000..7d8656bd --- /dev/null +++ b/n2/722 @@ -0,0 +1,5 @@ +40 +142 +1.5 +6164231156.456929 +1673208000.0 \ No newline at end of file diff --git a/n2/723 b/n2/723 new file mode 100644 index 00000000..d25dcee5 --- /dev/null +++ b/n2/723 @@ -0,0 +1,5 @@ +40 +142 +2.0 +5228766940.372496 +2230944000.0 \ No newline at end of file diff --git a/n2/724 b/n2/724 new file mode 100644 index 00000000..678c0fe5 --- /dev/null +++ b/n2/724 @@ -0,0 +1,5 @@ +40 +142 +2.5 +5714441198.503346 +2788680000.0 \ No newline at end of file diff --git a/n2/725 b/n2/725 new file mode 100644 index 00000000..2421e440 --- /dev/null +++ b/n2/725 @@ -0,0 +1,5 @@ +40 +142 +3.0 +6266971273.347962 +3346416000.0 \ No newline at end of file diff --git a/n2/726 b/n2/726 new file mode 100644 index 00000000..9ea8de3d --- /dev/null +++ b/n2/726 @@ -0,0 +1,5 @@ +40 +142 +3.5 +6819057900.845788 +3904152000.0 \ No newline at end of file diff --git a/n2/727 b/n2/727 new file mode 100644 index 00000000..d6a0abc5 --- /dev/null +++ b/n2/727 @@ -0,0 +1,5 @@ +40 +142 +4.0 +7376793900.845788 +4461888000.0 \ No newline at end of file diff --git a/n2/728 b/n2/728 new file mode 100644 index 00000000..a5413776 --- /dev/null +++ b/n2/728 @@ -0,0 +1,5 @@ +40 +142 +4.5 +7934529900.845788 +5019624000.0 \ No newline at end of file diff --git a/n2/729 b/n2/729 new file mode 100644 index 00000000..34571cdc --- /dev/null +++ b/n2/729 @@ -0,0 +1,5 @@ +40 +142 +5.0 +8492265900.845788 +5577360000.0 \ No newline at end of file diff --git a/n2/73 b/n2/73 new file mode 100644 index 00000000..7b2bb70e --- /dev/null +++ b/n2/73 @@ -0,0 +1,5 @@ +0 +71 +2.0 +6407396002.485002 +1552912000.0 \ No newline at end of file diff --git a/n2/730 b/n2/730 new file mode 100644 index 00000000..d3aa28f4 --- /dev/null +++ b/n2/730 @@ -0,0 +1,5 @@ +40 +152 +0.5 +5682988704.344039 +612416000.0 \ No newline at end of file diff --git a/n2/731 b/n2/731 new file mode 100644 index 00000000..5aeed174 --- /dev/null +++ b/n2/731 @@ -0,0 +1,5 @@ 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diff --git a/n2/741 b/n2/741 new file mode 100644 index 00000000..5bdb01f8 --- /dev/null +++ b/n2/741 @@ -0,0 +1,5 @@ +40 +163 +1.0 +5780241378.207813 +1345128000.0 \ No newline at end of file diff --git a/n2/742 b/n2/742 new file mode 100644 index 00000000..cdc04e94 --- /dev/null +++ b/n2/742 @@ -0,0 +1,5 @@ +40 +163 +1.5 +5607532375.871552 +2017692000.0 \ No newline at end of file diff --git a/n2/743 b/n2/743 new file mode 100644 index 00000000..db64ec15 --- /dev/null +++ b/n2/743 @@ -0,0 +1,5 @@ +40 +163 +2.0 +4643428230.623345 +2690256000.0 \ No newline at end of file diff --git a/n2/744 b/n2/744 new file mode 100644 index 00000000..8e388a0b --- /dev/null +++ b/n2/744 @@ -0,0 +1,5 @@ +40 +163 +2.5 +5245754528.551362 +3362820000.0 \ No newline at end of file diff --git a/n2/745 b/n2/745 new file mode 100644 index 00000000..92448247 --- /dev/null +++ b/n2/745 @@ -0,0 +1,5 @@ +40 +163 +3.0 +5915199071.506819 +4035384000.0 \ No newline at end of file diff --git a/n2/746 b/n2/746 new file mode 100644 index 00000000..5a4b9f63 --- /dev/null +++ b/n2/746 @@ -0,0 +1,5 @@ +40 +163 +3.5 +6577231175.078234 +4707948000.0 \ No newline at end of file diff --git a/n2/747 b/n2/747 new file mode 100644 index 00000000..487ca2c2 --- /dev/null +++ b/n2/747 @@ -0,0 +1,5 @@ +40 +163 +4.0 +7249795175.078234 +5380512000.0 \ No newline at end of file diff --git a/n2/748 b/n2/748 new file mode 100644 index 00000000..e9ea070b --- /dev/null +++ b/n2/748 @@ -0,0 +1,5 @@ +40 +163 +4.5 +7922359175.078234 +6053076000.0 \ No newline at end of file diff --git a/n2/749 b/n2/749 new file mode 100644 index 00000000..ab69e5bc --- /dev/null +++ b/n2/749 @@ -0,0 +1,5 @@ +40 +163 +5.0 +8594923175.078234 +6725640000.0 \ No newline at end of file diff --git a/n2/75 b/n2/75 new file mode 100644 index 00000000..91a70fbb --- /dev/null +++ b/n2/75 @@ -0,0 +1,5 @@ +0 +71 +3.0 +7178680300.274011 +2329368000.0 \ No newline at end of file diff --git a/n2/750 b/n2/750 new file mode 100644 index 00000000..6fd6e707 --- /dev/null +++ b/n2/750 @@ -0,0 +1,5 @@ +50 +50 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/751 b/n2/751 new file mode 100644 index 00000000..7436fb8b --- /dev/null +++ b/n2/751 @@ -0,0 +1,5 @@ +50 +50 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/752 b/n2/752 new file mode 100644 index 00000000..a1c2088b --- /dev/null +++ b/n2/752 @@ -0,0 +1,5 @@ +50 +50 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/753 b/n2/753 new file mode 100644 index 00000000..057b47f9 --- /dev/null +++ b/n2/753 @@ -0,0 +1,5 @@ +50 +50 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/754 b/n2/754 new file mode 100644 index 00000000..4f127a56 --- /dev/null +++ b/n2/754 @@ -0,0 +1,5 @@ +50 +50 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/755 b/n2/755 new file mode 100644 index 00000000..759a1ada --- /dev/null +++ b/n2/755 @@ -0,0 +1,5 @@ +50 +50 +3.0 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file mode 100644 index 00000000..35388275 --- /dev/null +++ b/n2/760 @@ -0,0 +1,5 @@ +50 +61 +0.5 +5449244337.18467 +60148000.0 \ No newline at end of file diff --git a/n2/761 b/n2/761 new file mode 100644 index 00000000..ec382f8c --- /dev/null +++ b/n2/761 @@ -0,0 +1,5 @@ +50 +61 +1.0 +5509392337.18467 +120296000.0 \ No newline at end of file diff --git a/n2/762 b/n2/762 new file mode 100644 index 00000000..774a7184 --- /dev/null +++ b/n2/762 @@ -0,0 +1,5 @@ +50 +61 +1.5 +5569540337.18467 +180444000.0 \ No newline at end of file diff --git a/n2/763 b/n2/763 new file mode 100644 index 00000000..72e003e5 --- /dev/null +++ b/n2/763 @@ -0,0 +1,5 @@ +50 +61 +2.0 +5629688337.18467 +240592000.0 \ No newline at end of file diff --git a/n2/764 b/n2/764 new file mode 100644 index 00000000..75e4d3ed --- /dev/null +++ b/n2/764 @@ -0,0 +1,5 @@ +50 +61 +2.5 +5689836337.18467 +300740000.0 \ No newline at end of file diff --git a/n2/765 b/n2/765 new file mode 100644 index 00000000..6edd1d7b --- /dev/null +++ b/n2/765 @@ -0,0 +1,5 @@ +50 +61 +3.0 +5749984337.18467 +360888000.0 \ No newline at end of file diff --git a/n2/766 b/n2/766 new file mode 100644 index 00000000..62cba96d --- /dev/null +++ b/n2/766 @@ -0,0 +1,5 @@ +50 +61 +3.5 +5810132337.18467 +421036000.0 \ No newline at end of file diff --git a/n2/767 b/n2/767 new file mode 100644 index 00000000..6baaf4e3 --- /dev/null +++ b/n2/767 @@ -0,0 +1,5 @@ +50 +61 +4.0 +5870280337.18467 +481184000.0 \ No newline at end of file diff --git a/n2/768 b/n2/768 new file mode 100644 index 00000000..1b973508 --- /dev/null +++ b/n2/768 @@ -0,0 +1,5 @@ +50 +61 +4.5 +5930428337.18467 +541332000.0 \ No newline at end of file diff --git a/n2/769 b/n2/769 new file mode 100644 index 00000000..c470f40e --- /dev/null +++ b/n2/769 @@ -0,0 +1,5 @@ +50 +61 +5.0 +5990576337.18467 +601480000.0 \ No newline at end of file diff --git a/n2/77 b/n2/77 new file mode 100644 index 00000000..031ddb0c --- /dev/null +++ b/n2/77 @@ -0,0 +1,5 @@ +0 +71 +4.0 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end of file diff --git a/n2/775 b/n2/775 new file mode 100644 index 00000000..3acf58f9 --- /dev/null +++ b/n2/775 @@ -0,0 +1,5 @@ +50 +71 +3.0 +6078064337.18467 +688968000.0 \ No newline at end of file diff --git a/n2/776 b/n2/776 new file mode 100644 index 00000000..7fb2dc49 --- /dev/null +++ b/n2/776 @@ -0,0 +1,5 @@ +50 +71 +3.5 +6192892337.18467 +803796000.0 \ No newline at end of file diff --git a/n2/777 b/n2/777 new file mode 100644 index 00000000..e8ee0b95 --- /dev/null +++ b/n2/777 @@ -0,0 +1,5 @@ +50 +71 +4.0 +6307720337.18467 +918624000.0 \ No newline at end of file diff --git a/n2/778 b/n2/778 new file mode 100644 index 00000000..6abc484b --- /dev/null +++ b/n2/778 @@ -0,0 +1,5 @@ +50 +71 +4.5 +6422548337.18467 +1033452000.0 \ No newline at end of file diff --git a/n2/779 b/n2/779 new file mode 100644 index 00000000..2e6a1f9f --- /dev/null +++ b/n2/779 @@ -0,0 +1,5 @@ +50 +71 +5.0 +6537376337.18467 +1148280000.0 \ No newline at end of file diff --git a/n2/78 b/n2/78 new file mode 100644 index 00000000..eb719978 --- /dev/null +++ b/n2/78 @@ -0,0 +1,5 @@ +0 +71 +4.5 +8342903645.827282 +3494052000.0 \ No newline at end of file diff --git a/n2/780 b/n2/780 new file mode 100644 index 00000000..f7e0059d --- /dev/null +++ b/n2/780 @@ -0,0 +1,5 @@ +50 +81 +0.5 +5558565828.120295 +169508000.0 \ No newline at end of file diff --git a/n2/781 b/n2/781 new file mode 100644 index 00000000..045769ad --- /dev/null +++ b/n2/781 @@ -0,0 +1,5 @@ +50 +81 +1.0 +5726387374.650413 +339016000.0 \ No newline at end of file diff --git a/n2/782 b/n2/782 new file mode 100644 index 00000000..6f2b8bc0 --- /dev/null +++ b/n2/782 @@ -0,0 +1,5 @@ +50 +81 +1.5 +5891665198.743381 +508524000.0 \ No newline at end of file diff --git a/n2/783 b/n2/783 new file mode 100644 index 00000000..38e3ac1e --- /dev/null +++ b/n2/783 @@ -0,0 +1,5 @@ +50 +81 +2.0 +6059599727.104769 +678032000.0 \ No newline at end of file diff --git a/n2/784 b/n2/784 new file mode 100644 index 00000000..e5b1cd0d --- /dev/null +++ b/n2/784 @@ -0,0 +1,5 @@ +50 +81 +2.5 +6228941222.417406 +847540000.0 \ No newline at end of file diff --git a/n2/785 b/n2/785 new file mode 100644 index 00000000..2cfde18e --- /dev/null +++ b/n2/785 @@ -0,0 +1,5 @@ +50 +81 +3.0 +6398449222.417406 +1017048000.0 \ No newline at end of file diff --git a/n2/786 b/n2/786 new file mode 100644 index 00000000..e893786c --- /dev/null +++ b/n2/786 @@ -0,0 +1,5 @@ +50 +81 +3.5 +6567957222.417406 +1186556000.0 \ No newline at end of file diff --git a/n2/787 b/n2/787 new file mode 100644 index 00000000..f1e4608c --- /dev/null +++ b/n2/787 @@ -0,0 +1,5 @@ +50 +81 +4.0 +6737465222.417406 +1356064000.0 \ No newline at end of file diff --git a/n2/788 b/n2/788 new file mode 100644 index 00000000..dae7d05d --- /dev/null +++ b/n2/788 @@ -0,0 +1,5 @@ +50 +81 +4.5 +6906973222.417406 +1525572000.0 \ No newline at end of file diff --git a/n2/789 b/n2/789 new file mode 100644 index 00000000..9df5174b --- /dev/null +++ b/n2/789 @@ -0,0 +1,5 @@ +50 +81 +5.0 +7076481222.417406 +1695080000.0 \ No newline at end of file diff --git a/n2/79 b/n2/79 new file mode 100644 index 00000000..b1e86a54 --- /dev/null +++ b/n2/79 @@ -0,0 +1,5 @@ +0 +71 +5.0 +8731131645.827282 +3882280000.0 \ No newline at end of file diff --git a/n2/790 b/n2/790 new file mode 100644 index 00000000..bf7f9331 --- /dev/null +++ b/n2/790 @@ -0,0 +1,5 @@ +50 +91 +0.5 +5612320214.158288 +224188000.0 \ No newline at end of file diff --git a/n2/791 b/n2/791 new file mode 100644 index 00000000..2a970e74 --- /dev/null +++ b/n2/791 @@ -0,0 +1,5 @@ +50 +91 +1.0 +5834190842.431709 +448376000.0 \ No newline at end of file diff --git a/n2/792 b/n2/792 new file mode 100644 index 00000000..9142882a --- /dev/null +++ b/n2/792 @@ -0,0 +1,5 @@ +50 +91 +1.5 +6051811509.455172 +672564000.0 \ No newline at end of file diff --git a/n2/793 b/n2/793 new file mode 100644 index 00000000..0d3ba3fb --- /dev/null +++ b/n2/793 @@ -0,0 +1,5 @@ +50 +91 +2.0 +6274304385.978126 +896752000.0 \ No newline at end of file diff --git a/n2/794 b/n2/794 new file mode 100644 index 00000000..e6c542bc --- /dev/null +++ b/n2/794 @@ -0,0 +1,5 @@ +50 +91 +2.5 +6498203701.614974 +1120940000.0 \ No newline at end of file diff --git a/n2/795 b/n2/795 new file mode 100644 index 00000000..08f38ffb --- /dev/null +++ b/n2/795 @@ -0,0 +1,5 @@ +50 +91 +3.0 +6722391701.614974 +1345128000.0 \ No newline at end of file diff --git a/n2/796 b/n2/796 new file mode 100644 index 00000000..1b2f8fec --- /dev/null +++ b/n2/796 @@ -0,0 +1,5 @@ +50 +91 +3.5 +6946579701.614974 +1569316000.0 \ No newline at end of file diff --git a/n2/797 b/n2/797 new file mode 100644 index 00000000..4adf899c --- /dev/null +++ b/n2/797 @@ -0,0 +1,5 @@ +50 +91 +4.0 +7170767701.614974 +1793504000.0 \ No newline at end of file diff --git a/n2/798 b/n2/798 new file mode 100644 index 00000000..d0d1920d --- /dev/null +++ b/n2/798 @@ -0,0 +1,5 @@ +50 +91 +4.5 +7394955701.614975 +2017692000.0 \ No newline at end of file diff --git a/n2/799 b/n2/799 new file mode 100644 index 00000000..2c02cdfe --- /dev/null +++ b/n2/799 @@ -0,0 +1,5 @@ +50 +91 +5.0 +7619143701.614975 +2241880000.0 \ No newline at end of file diff --git a/n2/8 b/n2/8 new file mode 100644 index 00000000..a5f45ae0 --- /dev/null +++ b/n2/8 @@ -0,0 +1,5 @@ +0 +0 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/80 b/n2/80 new file mode 100644 index 00000000..ae052433 --- /dev/null +++ b/n2/80 @@ -0,0 +1,5 @@ +0 +81 +0.5 +5666233765.319927 +442908000.0 \ No newline at end of file diff --git a/n2/800 b/n2/800 new file mode 100644 index 00000000..8e3f6307 --- /dev/null +++ b/n2/800 @@ -0,0 +1,5 @@ +50 +101 +0.5 +5667000214.158288 +278868000.0 \ No newline at end of file diff --git a/n2/801 b/n2/801 new file mode 100644 index 00000000..682cd885 --- /dev/null +++ b/n2/801 @@ -0,0 +1,5 @@ +50 +101 +1.0 +5943550842.431709 +557736000.0 \ No newline at end of file diff --git a/n2/802 b/n2/802 new file mode 100644 index 00000000..0cb69f8f --- /dev/null +++ b/n2/802 @@ -0,0 +1,5 @@ +50 +101 +1.5 +6215851509.455172 +836604000.0 \ No newline at end of file diff --git a/n2/803 b/n2/803 new file mode 100644 index 00000000..9d35dde6 --- /dev/null +++ b/n2/803 @@ -0,0 +1,5 @@ +50 +101 +2.0 +6493024385.978126 +1115472000.0 \ No newline at end of file diff --git a/n2/804 b/n2/804 new file mode 100644 index 00000000..c586475b --- /dev/null +++ b/n2/804 @@ -0,0 +1,5 @@ +50 +101 +2.5 +6771603701.614974 +1394340000.0 \ No newline at end of file diff --git a/n2/805 b/n2/805 new file mode 100644 index 00000000..026ae977 --- /dev/null +++ b/n2/805 @@ -0,0 +1,5 @@ +50 +101 +3.0 +7050471701.614974 +1673208000.0 \ No newline at end of file diff --git a/n2/806 b/n2/806 new file mode 100644 index 00000000..05df7865 --- /dev/null +++ b/n2/806 @@ -0,0 +1,5 @@ +50 +101 +3.5 +7329339701.614975 +1952076000.0 \ No newline at end of file diff --git a/n2/807 b/n2/807 new file mode 100644 index 00000000..573bd9e7 --- /dev/null +++ b/n2/807 @@ -0,0 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of file diff --git a/n2/817 b/n2/817 new file mode 100644 index 00000000..c61bf272 --- /dev/null +++ b/n2/817 @@ -0,0 +1,5 @@ +50 +112 +4.0 +8035315159.9296055 +2712128000.0 \ No newline at end of file diff --git a/n2/818 b/n2/818 new file mode 100644 index 00000000..12ae0e3f --- /dev/null +++ b/n2/818 @@ -0,0 +1,5 @@ +50 +112 +4.5 +8374331159.9296055 +3051144000.0 \ No newline at end of file diff --git a/n2/819 b/n2/819 new file mode 100644 index 00000000..3df22b4d --- /dev/null +++ b/n2/819 @@ -0,0 +1,5 @@ +50 +112 +5.0 +8713347159.929604 +3390160000.0 \ No newline at end of file diff --git a/n2/82 b/n2/82 new file mode 100644 index 00000000..46fb5786 --- /dev/null +++ b/n2/82 @@ -0,0 +1,5 @@ +0 +81 +1.5 +5581299367.448532 +1328724000.0 \ No newline at end of file diff --git a/n2/820 b/n2/820 new file mode 100644 index 00000000..c6592e87 --- /dev/null +++ b/n2/820 @@ -0,0 +1,5 @@ +50 +122 +0.5 +5741224470.295599 +393696000.0 \ No newline at end of file diff --git a/n2/821 b/n2/821 new file mode 100644 index 00000000..5ed7e952 --- /dev/null +++ b/n2/821 @@ -0,0 +1,5 @@ +50 +122 +1.0 +6125689883.646624 +787392000.0 \ No newline at end of file diff --git a/n2/822 b/n2/822 new file mode 100644 index 00000000..871d5c91 --- /dev/null +++ b/n2/822 @@ -0,0 +1,5 @@ +50 +122 +1.5 +6503520750.13468 +1181088000.0 \ No newline at end of file diff --git a/n2/823 b/n2/823 new file mode 100644 index 00000000..91d99716 --- /dev/null +++ b/n2/823 @@ -0,0 +1,5 @@ +50 +122 +2.0 +6894995834.560996 +1574784000.0 \ No newline at end of file diff --git a/n2/824 b/n2/824 new file mode 100644 index 00000000..75644f1d --- /dev/null +++ b/n2/824 @@ -0,0 +1,5 @@ +50 +122 +2.5 +7288605314.426403 +1968480000.0 \ No newline at end of file diff --git a/n2/825 b/n2/825 new file mode 100644 index 00000000..3828cdf4 --- /dev/null +++ b/n2/825 @@ -0,0 +1,5 @@ +50 +122 +3.0 +7682298659.905088 +2362176000.0 \ No newline at end of file diff --git a/n2/826 b/n2/826 new file mode 100644 index 00000000..ba3c067b --- /dev/null +++ b/n2/826 @@ -0,0 +1,5 @@ +50 +122 +3.5 +8075994659.905088 +2755872000.0 \ No newline at end of file diff --git a/n2/827 b/n2/827 new file mode 100644 index 00000000..3078af31 --- /dev/null +++ b/n2/827 @@ -0,0 +1,5 @@ +50 +122 +4.0 +8469690659.905088 +3149568000.0 \ No newline at end of file diff --git a/n2/828 b/n2/828 new file mode 100644 index 00000000..e7b37cc7 --- /dev/null +++ b/n2/828 @@ -0,0 +1,5 @@ +50 +122 +4.5 +8863386659.905088 +3543264000.0 \ No newline at end of file diff --git a/n2/829 b/n2/829 new file mode 100644 index 00000000..53bc0d49 --- /dev/null +++ b/n2/829 @@ -0,0 +1,5 @@ +50 +122 +5.0 +9257082659.905088 +3936960000.0 \ No newline at end of file diff --git a/n2/83 b/n2/83 new file mode 100644 index 00000000..9e6174f6 --- /dev/null +++ b/n2/83 @@ -0,0 +1,5 @@ +0 +81 +2.0 +5596661586.288842 +1771632000.0 \ No newline at end of file diff --git a/n2/830 b/n2/830 new file mode 100644 index 00000000..c2be4729 --- /dev/null +++ b/n2/830 @@ -0,0 +1,5 @@ +50 +132 +0.5 +5791837855.541158 +448376000.0 \ No newline at end of file diff --git a/n2/831 b/n2/831 new file mode 100644 index 00000000..3f2a6976 --- /dev/null +++ b/n2/831 @@ -0,0 +1,5 @@ +50 +132 +1.0 +6227274492.668934 +896752000.0 \ No newline at end of file diff --git a/n2/832 b/n2/832 new file mode 100644 index 00000000..97f65e8e --- /dev/null +++ b/n2/832 @@ -0,0 +1,5 @@ +50 +132 +1.5 +6657187059.470255 +1345128000.0 \ No newline at end of file diff --git a/n2/833 b/n2/833 new file mode 100644 index 00000000..8955a303 --- /dev/null +++ b/n2/833 @@ -0,0 +1,5 @@ +50 +132 +2.0 +7099234975.011945 +1793504000.0 \ No newline at end of file diff --git a/n2/834 b/n2/834 new file mode 100644 index 00000000..58a2a43e --- /dev/null +++ b/n2/834 @@ -0,0 +1,5 @@ +50 +132 +2.5 +7547068877.435435 +2241880000.0 \ No newline at end of file diff --git a/n2/835 b/n2/835 new file mode 100644 index 00000000..fab2db0a --- /dev/null +++ b/n2/835 @@ -0,0 +1,5 @@ +50 +132 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newline at end of file diff --git a/n2/840 b/n2/840 new file mode 100644 index 00000000..24c01c35 --- /dev/null +++ b/n2/840 @@ -0,0 +1,5 @@ +50 +142 +0.5 +5789125952.95444 +503056000.0 \ No newline at end of file diff --git a/n2/841 b/n2/841 new file mode 100644 index 00000000..9fc5e9a3 --- /dev/null +++ b/n2/841 @@ -0,0 +1,5 @@ +50 +142 +1.0 +6263466553.472962 +1006112000.0 \ No newline at end of file diff --git a/n2/842 b/n2/842 new file mode 100644 index 00000000..936bc4f9 --- /dev/null +++ b/n2/842 @@ -0,0 +1,5 @@ +50 +142 +1.5 +6738697279.073222 +1509168000.0 \ No newline at end of file diff --git a/n2/843 b/n2/843 new file mode 100644 index 00000000..b768d91a --- /dev/null +++ b/n2/843 @@ -0,0 +1,5 @@ +50 +142 +2.0 +7209619038.440571 +2012224000.0 \ No newline at end of file diff --git a/n2/844 b/n2/844 new file mode 100644 index 00000000..7a00f73f --- /dev/null +++ b/n2/844 @@ -0,0 +1,5 @@ +50 +142 +2.5 +7706795710.447746 +2515280000.0 \ No newline at end of file diff --git a/n2/845 b/n2/845 new file mode 100644 index 00000000..ede91474 --- /dev/null +++ b/n2/845 @@ -0,0 +1,5 @@ +50 +142 +3.0 +8214182744.698878 +3018336000.0 \ No newline at end of file diff --git a/n2/846 b/n2/846 new file mode 100644 index 00000000..99b9eb44 --- /dev/null +++ b/n2/846 @@ -0,0 +1,5 @@ +50 +142 +3.5 +8712423206.541117 +3521392000.0 \ No newline at end of file diff --git a/n2/847 b/n2/847 new file mode 100644 index 00000000..a90ce9d9 --- /dev/null +++ b/n2/847 @@ -0,0 +1,5 @@ +50 +142 +4.0 +9215479206.541117 +4024448000.0 \ No newline at end of file diff --git a/n2/848 b/n2/848 new file mode 100644 index 00000000..00ba30eb --- /dev/null +++ b/n2/848 @@ -0,0 +1,5 @@ +50 +142 +4.5 +9718535206.541117 +4527504000.0 \ No newline at end of file diff --git a/n2/849 b/n2/849 new file mode 100644 index 00000000..bc491b23 --- /dev/null +++ b/n2/849 @@ -0,0 +1,5 @@ +50 +142 +5.0 +10221591206.541117 +5030560000.0 \ No newline at end of file diff --git a/n2/85 b/n2/85 new file mode 100644 index 00000000..c213e3ef --- /dev/null +++ b/n2/85 @@ -0,0 +1,5 @@ +0 +81 +3.0 +6439972483.139942 +2657448000.0 \ No newline at end of file diff --git a/n2/850 b/n2/850 new file mode 100644 index 00000000..f6b4c823 --- /dev/null +++ b/n2/850 @@ -0,0 +1,5 @@ +50 +152 +0.5 +5628309116.010216 +557736000.0 \ No newline at end of file diff --git a/n2/851 b/n2/851 new file mode 100644 index 00000000..9d6d037e --- /dev/null +++ b/n2/851 @@ -0,0 +1,5 @@ +50 +152 +1.0 +6072042052.200475 +1115472000.0 \ No newline at end of file diff --git a/n2/852 b/n2/852 new file mode 100644 index 00000000..ed1515a2 --- /dev/null +++ b/n2/852 @@ -0,0 +1,5 @@ +50 +152 +1.5 +6576564082.627603 +1673208000.0 \ No newline at end of file diff --git a/n2/853 b/n2/853 new file mode 100644 index 00000000..5ba95125 --- /dev/null +++ b/n2/853 @@ -0,0 +1,5 @@ +50 +152 +2.0 +7099329568.206443 +2230944000.0 \ No newline at end of file diff --git a/n2/854 b/n2/854 new file mode 100644 index 00000000..26be5d4c --- /dev/null +++ b/n2/854 @@ -0,0 +1,5 @@ +50 +152 +2.5 +7652387609.592303 +2788680000.0 \ No newline at end of file diff --git a/n2/855 b/n2/855 new file mode 100644 index 00000000..293746fc --- /dev/null +++ b/n2/855 @@ -0,0 +1,5 @@ +50 +152 +3.0 +8216469733.423659 +3346416000.0 \ No newline at end of file diff --git a/n2/856 b/n2/856 new file mode 100644 index 00000000..90648861 --- /dev/null +++ b/n2/856 @@ -0,0 +1,5 @@ +50 +152 +3.5 +8764248088.667646 +3904152000.0 \ No newline at end of file diff --git a/n2/857 b/n2/857 new file mode 100644 index 00000000..b008a456 --- /dev/null +++ b/n2/857 @@ -0,0 +1,5 @@ +50 +152 +4.0 +9321984088.667646 +4461888000.0 \ No newline at end of file diff --git a/n2/858 b/n2/858 new file mode 100644 index 00000000..a3d0b37c --- /dev/null +++ b/n2/858 @@ -0,0 +1,5 @@ +50 +152 +4.5 +9879720088.667646 +5019624000.0 \ No newline at end of file diff --git a/n2/859 b/n2/859 new file mode 100644 index 00000000..20a4a97c --- /dev/null +++ b/n2/859 @@ -0,0 +1,5 @@ +50 +152 +5.0 +10437456088.667646 +5577360000.0 \ No newline at end of file diff --git a/n2/86 b/n2/86 new file mode 100644 index 00000000..8ac27842 --- /dev/null +++ b/n2/86 @@ -0,0 +1,5 @@ +0 +81 +3.5 +6881427817.648369 +3100356000.0 \ No newline at end of file diff --git a/n2/860 b/n2/860 new file mode 100644 index 00000000..f0472feb --- /dev/null +++ b/n2/860 @@ -0,0 +1,5 @@ +50 +163 +0.5 +5292667061.52585 +617884000.0 \ No newline at end of file diff --git a/n2/861 b/n2/861 new file mode 100644 index 00000000..449b0bad --- /dev/null +++ b/n2/861 @@ -0,0 +1,5 @@ +50 +163 +1.0 +5709767368.934093 +1235768000.0 \ No newline at end of file diff --git a/n2/862 b/n2/862 new file mode 100644 index 00000000..3ac257d5 --- /dev/null +++ b/n2/862 @@ -0,0 +1,5 @@ +50 +163 +1.5 +6179786496.766302 +1853652000.0 \ No newline at end of file diff --git a/n2/863 b/n2/863 new file mode 100644 index 00000000..836a70d6 --- /dev/null +++ b/n2/863 @@ -0,0 +1,5 @@ +50 +163 +2.0 +6618939525.186698 +2471536000.0 \ No newline at end of file diff --git a/n2/864 b/n2/864 new file mode 100644 index 00000000..501905b5 --- /dev/null +++ b/n2/864 @@ -0,0 +1,5 @@ +50 +163 +2.5 +7232242058.548205 +3089420000.0 \ No newline at end of file diff --git a/n2/865 b/n2/865 new file mode 100644 index 00000000..a2aef19e --- /dev/null +++ b/n2/865 @@ -0,0 +1,5 @@ +50 +163 +3.0 +7856431354.669779 +3707304000.0 \ No newline at end of file diff --git a/n2/866 b/n2/866 new file mode 100644 index 00000000..f0790bd5 --- /dev/null +++ b/n2/866 @@ -0,0 +1,5 @@ +50 +163 +3.5 +8464578413.346229 +4325188000.0 \ No newline at end of file diff --git a/n2/867 b/n2/867 new file mode 100644 index 00000000..db3c369d --- /dev/null +++ b/n2/867 @@ -0,0 +1,5 @@ +50 +163 +4.0 +9082462413.346231 +4943072000.0 \ No newline at end of file diff --git a/n2/868 b/n2/868 new file mode 100644 index 00000000..633287b1 --- /dev/null +++ b/n2/868 @@ -0,0 +1,5 @@ +50 +163 +4.5 +9700346413.346231 +5560956000.0 \ No newline at end of file diff --git a/n2/869 b/n2/869 new file mode 100644 index 00000000..c56d4863 --- /dev/null +++ b/n2/869 @@ -0,0 +1,5 @@ +50 +163 +5.0 +10318230413.346231 +6178840000.0 \ No newline at end of file diff --git a/n2/87 b/n2/87 new file mode 100644 index 00000000..3534b348 --- /dev/null +++ b/n2/87 @@ -0,0 +1,5 @@ +0 +81 +4.0 +7324335817.648369 +3543264000.0 \ No newline at end of file diff --git a/n2/870 b/n2/870 new file mode 100644 index 00000000..3074845f --- /dev/null +++ b/n2/870 @@ -0,0 +1,5 @@ +61 +61 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/871 b/n2/871 new file mode 100644 index 00000000..5396f99b --- /dev/null +++ b/n2/871 @@ -0,0 +1,5 @@ +61 +61 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/872 b/n2/872 new file mode 100644 index 00000000..82ce5eec --- /dev/null +++ b/n2/872 @@ -0,0 +1,5 @@ +61 +61 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/873 b/n2/873 new file mode 100644 index 00000000..d6b9cd59 --- /dev/null +++ b/n2/873 @@ -0,0 +1,5 @@ +61 +61 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/874 b/n2/874 new file mode 100644 index 00000000..42c74b42 --- /dev/null +++ b/n2/874 @@ -0,0 +1,5 @@ +61 +61 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/875 b/n2/875 new file mode 100644 index 00000000..e321b237 --- /dev/null +++ b/n2/875 @@ -0,0 +1,5 @@ +61 +61 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/876 b/n2/876 new file mode 100644 index 00000000..806945dc --- /dev/null +++ b/n2/876 @@ -0,0 +1,5 @@ +61 +61 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/877 b/n2/877 new file mode 100644 index 00000000..ba850613 --- /dev/null +++ b/n2/877 @@ -0,0 +1,5 @@ +61 +61 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/878 b/n2/878 new file mode 100644 index 00000000..4473a115 --- /dev/null +++ b/n2/878 @@ -0,0 +1,5 @@ +61 +61 +4.5 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a/n2/883 b/n2/883 new file mode 100644 index 00000000..f82f6010 --- /dev/null +++ b/n2/883 @@ -0,0 +1,5 @@ +61 +71 +2.0 +5607816337.18467 +218720000.0 \ No newline at end of file diff --git a/n2/884 b/n2/884 new file mode 100644 index 00000000..6ba9f2ed --- /dev/null +++ b/n2/884 @@ -0,0 +1,5 @@ +61 +71 +2.5 +5662496337.18467 +273400000.0 \ No newline at end of file diff --git a/n2/885 b/n2/885 new file mode 100644 index 00000000..8c51b2d3 --- /dev/null +++ b/n2/885 @@ -0,0 +1,5 @@ +61 +71 +3.0 +5717176337.18467 +328080000.0 \ No newline at end of file diff --git a/n2/886 b/n2/886 new file mode 100644 index 00000000..883f4927 --- /dev/null +++ b/n2/886 @@ -0,0 +1,5 @@ +61 +71 +3.5 +5771856337.18467 +382760000.0 \ No newline at end of file diff --git a/n2/887 b/n2/887 new file mode 100644 index 00000000..83364b36 --- /dev/null +++ b/n2/887 @@ -0,0 +1,5 @@ +61 +71 +4.0 +5826536337.18467 +437440000.0 \ No newline at end of file diff --git a/n2/888 b/n2/888 new file mode 100644 index 00000000..49a6efe3 --- /dev/null +++ b/n2/888 @@ -0,0 +1,5 @@ +61 +71 +4.5 +5881216337.18467 +492120000.0 \ No newline at end of file diff --git a/n2/889 b/n2/889 new file mode 100644 index 00000000..7337ff5c --- /dev/null +++ b/n2/889 @@ -0,0 +1,5 @@ +61 +71 +5.0 +5935896337.18467 +546800000.0 \ No newline at end of file diff --git a/n2/89 b/n2/89 new file mode 100644 index 00000000..e85875fb --- /dev/null +++ b/n2/89 @@ -0,0 +1,5 @@ +0 +81 +5.0 +8210151817.648369 +4429080000.0 \ No newline at end of file diff --git a/n2/890 b/n2/890 new file mode 100644 index 00000000..fccf6963 --- /dev/null +++ b/n2/890 @@ -0,0 +1,5 @@ +61 +81 +0.5 +5498417828.120295 +109360000.0 \ No newline at end of file diff --git a/n2/891 b/n2/891 new file mode 100644 index 00000000..81c11bee --- /dev/null +++ b/n2/891 @@ -0,0 +1,5 @@ +61 +81 +1.0 +5606091374.650413 +218720000.0 \ No newline at end of file diff --git a/n2/892 b/n2/892 new file mode 100644 index 00000000..d7045e4e --- /dev/null +++ b/n2/892 @@ -0,0 +1,5 @@ +61 +81 +1.5 +5711221198.743381 +328080000.0 \ No newline at end of file diff --git a/n2/893 b/n2/893 new file mode 100644 index 00000000..f0c8c23a --- /dev/null +++ b/n2/893 @@ -0,0 +1,5 @@ +61 +81 +2.0 +5819462656.930752 +437440000.0 \ No newline at end of file diff --git a/n2/894 b/n2/894 new file mode 100644 index 00000000..b29c4704 --- /dev/null +++ b/n2/894 @@ -0,0 +1,5 @@ +61 +81 +2.5 +5928709869.478613 +546800000.0 \ No newline at end of file diff --git a/n2/895 b/n2/895 new file mode 100644 index 00000000..08f26ca0 --- /dev/null +++ b/n2/895 @@ -0,0 +1,5 @@ +61 +81 +3.0 +6038069869.478613 +656160000.0 \ No newline at end of file diff --git a/n2/896 b/n2/896 new file mode 100644 index 00000000..87eb92c1 --- /dev/null +++ b/n2/896 @@ -0,0 +1,5 @@ +61 +81 +3.5 +6147429869.478613 +765520000.0 \ No newline at end of file diff --git a/n2/897 b/n2/897 new file mode 100644 index 00000000..a128fde5 --- /dev/null +++ b/n2/897 @@ -0,0 +1,5 @@ +61 +81 +4.0 +6256789869.478613 +874880000.0 \ No newline at end of file diff --git a/n2/898 b/n2/898 new file mode 100644 index 00000000..661ffdb7 --- /dev/null +++ b/n2/898 @@ -0,0 +1,5 @@ +61 +81 +4.5 +6366149869.478613 +984240000.0 \ No newline at end of file diff --git a/n2/899 b/n2/899 new file mode 100644 index 00000000..a6a144d1 --- /dev/null +++ b/n2/899 @@ -0,0 +1,5 @@ +61 +81 +5.0 +6475509869.478613 +1093600000.0 \ No newline at end of file diff --git a/n2/9 b/n2/9 new file mode 100644 index 00000000..462dec5a --- /dev/null +++ b/n2/9 @@ -0,0 +1,5 @@ +0 +0 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/90 b/n2/90 new file mode 100644 index 00000000..dd4791d5 --- /dev/null +++ b/n2/90 @@ -0,0 +1,5 @@ +0 +91 +0.5 +5719988273.902176 +497588000.0 \ No newline at end of file diff --git a/n2/900 b/n2/900 new file mode 100644 index 00000000..988a3634 --- /dev/null +++ b/n2/900 @@ -0,0 +1,5 @@ +61 +91 +0.5 +5552172214.158288 +164040000.0 \ No newline at end of file diff --git a/n2/901 b/n2/901 new file mode 100644 index 00000000..1a00d42e --- /dev/null +++ b/n2/901 @@ -0,0 +1,5 @@ +61 +91 +1.0 +5713894842.431709 +328080000.0 \ No newline at end of file diff --git a/n2/902 b/n2/902 new file mode 100644 index 00000000..45a0571e --- /dev/null +++ b/n2/902 @@ -0,0 +1,5 @@ +61 +91 +1.5 +5871735538.274841 +492120000.0 \ No newline at end of file diff --git a/n2/903 b/n2/903 new file mode 100644 index 00000000..feae4cdb --- /dev/null +++ b/n2/903 @@ -0,0 +1,5 @@ +61 +91 +2.0 +6034548142.163132 +656160000.0 \ No newline at end of file diff --git a/n2/904 b/n2/904 new file mode 100644 index 00000000..6fb10d95 --- /dev/null +++ b/n2/904 @@ -0,0 +1,5 @@ +61 +91 +2.5 +6198403462.483871 +820200000.0 \ No newline at end of file diff --git a/n2/905 b/n2/905 new file mode 100644 index 00000000..2c44f5dc --- /dev/null +++ b/n2/905 @@ -0,0 +1,5 @@ +61 +91 +3.0 +6362443462.483871 +984240000.0 \ No newline at end of file diff --git a/n2/906 b/n2/906 new file mode 100644 index 00000000..0598d7e1 --- /dev/null +++ b/n2/906 @@ -0,0 +1,5 @@ +61 +91 +3.5 +6526483462.483871 +1148280000.0 \ No newline at end of file diff --git a/n2/907 b/n2/907 new file mode 100644 index 00000000..ff424084 --- /dev/null +++ b/n2/907 @@ -0,0 +1,5 @@ +61 +91 +4.0 +6690523462.483871 +1312320000.0 \ No newline at end of file diff --git a/n2/908 b/n2/908 new file mode 100644 index 00000000..1c8e13d2 --- /dev/null +++ b/n2/908 @@ -0,0 +1,5 @@ +61 +91 +4.5 +6854563462.483871 +1476360000.0 \ No newline at end of file diff --git a/n2/909 b/n2/909 new file mode 100644 index 00000000..6fba9cfc --- /dev/null +++ b/n2/909 @@ -0,0 +1,5 @@ +61 +91 +5.0 +7018603462.483871 +1640400000.0 \ No newline at end of file diff --git a/n2/91 b/n2/91 new file mode 100644 index 00000000..ce7c2e46 --- /dev/null +++ b/n2/91 @@ -0,0 +1,5 @@ +0 +91 +1.0 +5933348303.468027 +995176000.0 \ No newline at end of file diff --git a/n2/910 b/n2/910 new file mode 100644 index 00000000..4594de55 --- /dev/null +++ b/n2/910 @@ -0,0 +1,5 @@ +61 +101 +0.5 +5606852214.158288 +218720000.0 \ No newline at end of file diff --git a/n2/911 b/n2/911 new file mode 100644 index 00000000..5a75b406 --- /dev/null +++ b/n2/911 @@ -0,0 +1,5 @@ +61 +101 +1.0 +5823254842.431709 +437440000.0 \ No newline at end of file diff --git a/n2/912 b/n2/912 new file mode 100644 index 00000000..3043bb6c --- /dev/null +++ b/n2/912 @@ -0,0 +1,5 @@ +61 +101 +1.5 +6035775538.274841 +656160000.0 \ No newline at end of file diff --git a/n2/913 b/n2/913 new file mode 100644 index 00000000..cd67c35c --- /dev/null +++ b/n2/913 @@ -0,0 +1,5 @@ +61 +101 +2.0 +6253268142.163132 +874880000.0 \ No newline at end of file diff --git a/n2/914 b/n2/914 new file mode 100644 index 00000000..9844dcb0 --- /dev/null +++ b/n2/914 @@ -0,0 +1,5 @@ +61 +101 +2.5 +6471803462.483871 +1093600000.0 \ No newline at end of file diff --git a/n2/915 b/n2/915 new file mode 100644 index 00000000..0f5cc803 --- /dev/null +++ b/n2/915 @@ -0,0 +1,5 @@ +61 +101 +3.0 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newline at end of file diff --git a/n2/920 b/n2/920 new file mode 100644 index 00000000..03c0b0b2 --- /dev/null +++ b/n2/920 @@ -0,0 +1,5 @@ +61 +112 +0.5 +5628294637.0610285 +278868000.0 \ No newline at end of file diff --git a/n2/921 b/n2/921 new file mode 100644 index 00000000..92664f98 --- /dev/null +++ b/n2/921 @@ -0,0 +1,5 @@ +61 +112 +1.0 +5901573007.055396 +557736000.0 \ No newline at end of file diff --git a/n2/922 b/n2/922 new file mode 100644 index 00000000..8c0adbd4 --- /dev/null +++ b/n2/922 @@ -0,0 +1,5 @@ +61 +112 +1.5 +6166310946.63399 +836604000.0 \ No newline at end of file diff --git a/n2/923 b/n2/923 new file mode 100644 index 00000000..5d33d75a --- /dev/null +++ b/n2/923 @@ -0,0 +1,5 @@ +61 +112 +2.0 +6442795075.360306 +1115472000.0 \ No newline at end of file diff --git a/n2/924 b/n2/924 new file mode 100644 index 00000000..49969c7c --- /dev/null +++ b/n2/924 @@ -0,0 +1,5 @@ +61 +112 +2.5 +6721551784.705447 +1394340000.0 \ No newline at end of file diff --git a/n2/925 b/n2/925 new file mode 100644 index 00000000..36e5c8ea --- /dev/null +++ b/n2/925 @@ -0,0 +1,5 @@ +61 +112 +3.0 +7000419633.910367 +1673208000.0 \ No newline at end of file diff --git a/n2/926 b/n2/926 new file mode 100644 index 00000000..d9296dad --- /dev/null +++ b/n2/926 @@ -0,0 +1,5 @@ +61 +112 +3.5 +7279287633.910367 +1952076000.0 \ No newline at end of file diff --git a/n2/927 b/n2/927 new file mode 100644 index 00000000..cbdd8b9b --- /dev/null +++ b/n2/927 @@ -0,0 +1,5 @@ +61 +112 +4.0 +7558155633.910367 +2230944000.0 \ No newline at end of file diff --git a/n2/928 b/n2/928 new file mode 100644 index 00000000..c854790a --- /dev/null +++ b/n2/928 @@ -0,0 +1,5 @@ +61 +112 +4.5 +7837023633.910367 +2509812000.0 \ No newline at end of file diff --git a/n2/929 b/n2/929 new file mode 100644 index 00000000..bf91195a --- /dev/null +++ b/n2/929 @@ -0,0 +1,5 @@ +61 +112 +5.0 +8115891633.910367 +2788680000.0 \ No newline at end of file diff --git a/n2/93 b/n2/93 new file mode 100644 index 00000000..45e66ad5 --- /dev/null +++ b/n2/93 @@ -0,0 +1,5 @@ +0 +91 +2.0 +5349680316.127324 +1990352000.0 \ No newline at end of file diff --git a/n2/930 b/n2/930 new file mode 100644 index 00000000..5349f399 --- /dev/null +++ b/n2/930 @@ -0,0 +1,5 @@ +61 +122 +0.5 +5681076470.295599 +333548000.0 \ No newline at end of file diff --git a/n2/931 b/n2/931 new file mode 100644 index 00000000..3cf64359 --- /dev/null +++ b/n2/931 @@ -0,0 +1,5 @@ +61 +122 +1.0 +6006720352.936732 +667096000.0 \ No newline at end of file diff --git a/n2/932 b/n2/932 new file mode 100644 index 00000000..8b354276 --- /dev/null +++ b/n2/932 @@ -0,0 +1,5 @@ +61 +122 +1.5 +6327100916.030662 +1000644000.0 \ No newline at end of file diff --git a/n2/933 b/n2/933 new file mode 100644 index 00000000..5edef70b --- /dev/null +++ b/n2/933 @@ -0,0 +1,5 @@ +61 +122 +2.0 +6658427767.068854 +1334192000.0 \ No newline at end of file diff --git a/n2/934 b/n2/934 new file mode 100644 index 00000000..f1b6b66a --- /dev/null +++ b/n2/934 @@ -0,0 +1,5 @@ +61 +122 +2.5 +6991889193.97337 +1667740000.0 \ No newline at end of file diff --git a/n2/935 b/n2/935 new file mode 100644 index 00000000..627a92df --- /dev/null +++ b/n2/935 @@ -0,0 +1,5 @@ +61 +122 +3.0 +7325434539.452054 +2001288000.0 \ No newline at end of file diff --git a/n2/936 b/n2/936 new file mode 100644 index 00000000..36513128 --- /dev/null +++ b/n2/936 @@ -0,0 +1,5 @@ +61 +122 +3.5 +7658982539.452054 +2334836000.0 \ No newline at end of file diff --git a/n2/937 b/n2/937 new file mode 100644 index 00000000..52316b8b --- /dev/null +++ b/n2/937 @@ -0,0 +1,5 @@ +61 +122 +4.0 +7992530539.452054 +2668384000.0 \ No newline at end of file diff --git a/n2/938 b/n2/938 new file mode 100644 index 00000000..c0e8074c --- /dev/null +++ b/n2/938 @@ -0,0 +1,5 @@ +61 +122 +4.5 +8326078539.452054 +3001932000.0 \ No newline at end of file diff --git a/n2/939 b/n2/939 new file mode 100644 index 00000000..14d0584a --- /dev/null +++ b/n2/939 @@ -0,0 +1,5 @@ +61 +122 +5.0 +8659626539.452055 +3335480000.0 \ No newline at end of file diff --git a/n2/94 b/n2/94 new file mode 100644 index 00000000..f05b7c01 --- /dev/null +++ b/n2/94 @@ -0,0 +1,5 @@ +0 +91 +2.5 +5716168271.627374 +2487940000.0 \ No newline at end of file diff --git a/n2/940 b/n2/940 new file mode 100644 index 00000000..7ca06fac --- /dev/null +++ b/n2/940 @@ -0,0 +1,5 @@ +61 +132 +0.5 +5731689855.541158 +388228000.0 \ No newline at end of file diff --git a/n2/941 b/n2/941 new file mode 100644 index 00000000..47bc5a03 --- /dev/null +++ b/n2/941 @@ -0,0 +1,5 @@ +61 +132 +1.0 +6110088987.8614645 +776456000.0 \ No newline at end of file diff --git a/n2/942 b/n2/942 new file mode 100644 index 00000000..561d0ed2 --- /dev/null +++ b/n2/942 @@ -0,0 +1,5 @@ +61 +132 +1.5 +6485972201.155053 +1164684000.0 \ No newline at end of file diff --git a/n2/943 b/n2/943 new file mode 100644 index 00000000..44cffd79 --- /dev/null +++ b/n2/943 @@ -0,0 +1,5 @@ +61 +132 +2.0 +6871769579.616725 +1552912000.0 \ No newline at end of file diff --git a/n2/944 b/n2/944 new file mode 100644 index 00000000..cf10154b --- /dev/null +++ b/n2/944 @@ -0,0 +1,5 @@ +61 +132 +2.5 +7259455298.454416 +1941140000.0 \ No newline at end of file diff --git a/n2/945 b/n2/945 new file mode 100644 index 00000000..c2270b4a --- /dev/null +++ b/n2/945 @@ -0,0 +1,5 @@ +61 +132 +3.0 +7647513376.874649 +2329368000.0 \ No newline at end of file diff --git a/n2/946 b/n2/946 new file mode 100644 index 00000000..474d8aba --- /dev/null +++ b/n2/946 @@ -0,0 +1,5 @@ +61 +132 +3.5 +8035741376.874649 +2717596000.0 \ No newline at end of file diff --git a/n2/947 b/n2/947 new file mode 100644 index 00000000..5238169a --- /dev/null +++ b/n2/947 @@ -0,0 +1,5 @@ +61 +132 +4.0 +8423969376.874649 +3105824000.0 \ No newline at end of file diff --git a/n2/948 b/n2/948 new file mode 100644 index 00000000..9475757e --- /dev/null +++ b/n2/948 @@ -0,0 +1,5 @@ +61 +132 +4.5 +8812197376.874653 +3494052000.0 \ No newline at end of file diff --git a/n2/949 b/n2/949 new file mode 100644 index 00000000..7b4dbe7e --- /dev/null +++ b/n2/949 @@ -0,0 +1,5 @@ +61 +132 +5.0 +9200425376.874653 +3882280000.0 \ No newline at end of file diff --git a/n2/95 b/n2/95 new file mode 100644 index 00000000..91e95ca3 --- /dev/null +++ b/n2/95 @@ -0,0 +1,5 @@ +0 +91 +3.0 +6158229604.79627 +2985528000.0 \ No newline at end of file diff --git a/n2/950 b/n2/950 new file mode 100644 index 00000000..32455a25 --- /dev/null +++ b/n2/950 @@ -0,0 +1,5 @@ +61 +142 +0.5 +5728977952.95444 +442908000.0 \ No newline at end of file diff --git a/n2/951 b/n2/951 new file mode 100644 index 00000000..71353edc --- /dev/null +++ b/n2/951 @@ -0,0 +1,5 @@ +61 +142 +1.0 +6146225797.314316 +885816000.0 \ No newline at end of file diff --git a/n2/952 b/n2/952 new file mode 100644 index 00000000..64f8af77 --- /dev/null +++ b/n2/952 @@ -0,0 +1,5 @@ +61 +142 +1.5 +6570094286.405385 +1328724000.0 \ No newline at end of file diff --git a/n2/953 b/n2/953 new file mode 100644 index 00000000..d8fd0251 --- /dev/null +++ b/n2/953 @@ -0,0 +1,5 @@ +61 +142 +2.0 +6982143541.208692 +1771632000.0 \ No newline at end of file diff --git a/n2/954 b/n2/954 new file mode 100644 index 00000000..bb6a352b --- /dev/null +++ b/n2/954 @@ -0,0 +1,5 @@ +61 +142 +2.5 +7419170302.025795 +2214540000.0 \ No newline at end of file diff --git a/n2/955 b/n2/955 new file mode 100644 index 00000000..fd106903 --- /dev/null +++ b/n2/955 @@ -0,0 +1,5 @@ +61 +142 +3.0 +7861596196.057195 +2657448000.0 \ No newline at end of file diff --git a/n2/956 b/n2/956 new file mode 100644 index 00000000..9a78ae48 --- /dev/null +++ b/n2/956 @@ -0,0 +1,5 @@ +61 +142 +3.5 +8304501607.857711 +3100356000.0 \ No newline at end of file diff --git a/n2/957 b/n2/957 new file mode 100644 index 00000000..43fb0469 --- /dev/null +++ b/n2/957 @@ -0,0 +1,5 @@ +61 +142 +4.0 +8747409607.857712 +3543264000.0 \ No newline at end of file diff --git a/n2/958 b/n2/958 new file mode 100644 index 00000000..3cb0f415 --- /dev/null +++ b/n2/958 @@ -0,0 +1,5 @@ +61 +142 +4.5 +9190317607.857712 +3986172000.0 \ No newline at end of file diff --git a/n2/959 b/n2/959 new file mode 100644 index 00000000..89625203 --- /dev/null +++ b/n2/959 @@ -0,0 +1,5 @@ +61 +142 +5.0 +9633225607.857712 +4429080000.0 \ No newline at end of file diff --git a/n2/96 b/n2/96 new file mode 100644 index 00000000..c4af2431 --- /dev/null +++ b/n2/96 @@ -0,0 +1,5 @@ +0 +91 +3.5 +6653656506.312621 +3483116000.0 \ No newline at end of file diff --git a/n2/960 b/n2/960 new file mode 100644 index 00000000..f176460a --- /dev/null +++ b/n2/960 @@ -0,0 +1,5 @@ +61 +152 +0.5 +5568161116.010216 +497588000.0 \ No newline at end of file diff --git a/n2/961 b/n2/961 new file mode 100644 index 00000000..2bd952cd --- /dev/null +++ b/n2/961 @@ -0,0 +1,5 @@ +61 +152 +1.0 +5954795847.857663 +995176000.0 \ No newline at end of file diff --git a/n2/962 b/n2/962 new file mode 100644 index 00000000..0931e57f --- /dev/null +++ b/n2/962 @@ -0,0 +1,5 @@ +61 +152 +1.5 +6407944150.637351 +1492764000.0 \ No newline at end of file diff --git a/n2/963 b/n2/963 new file mode 100644 index 00000000..d5c38253 --- /dev/null +++ b/n2/963 @@ -0,0 +1,5 @@ +61 +152 +2.0 +6871832724.180126 +1990352000.0 \ No newline at end of file diff --git a/n2/964 b/n2/964 new file mode 100644 index 00000000..1a89ba2b --- /dev/null +++ b/n2/964 @@ -0,0 +1,5 @@ +61 +152 +2.5 +7364740729.777912 +2487940000.0 \ No newline at end of file diff --git a/n2/965 b/n2/965 new file mode 100644 index 00000000..464ca086 --- /dev/null +++ b/n2/965 @@ -0,0 +1,5 @@ +61 +152 +3.0 +7863868096.886984 +2985528000.0 \ No newline at end of file diff --git a/n2/966 b/n2/966 new file mode 100644 index 00000000..1432f28e --- /dev/null +++ b/n2/966 @@ -0,0 +1,5 @@ +61 +152 +3.5 +8356301888.395808 +3483116000.0 \ No newline at end of file diff --git a/n2/967 b/n2/967 new file mode 100644 index 00000000..c68cfb56 --- /dev/null +++ b/n2/967 @@ -0,0 +1,5 @@ +61 +152 +4.0 +8853889888.395807 +3980704000.0 \ No newline at end of file diff --git a/n2/968 b/n2/968 new file mode 100644 index 00000000..6e34c3e1 --- /dev/null +++ b/n2/968 @@ -0,0 +1,5 @@ +61 +152 +4.5 +9351477888.395807 +4478292000.0 \ No newline at end of file diff --git a/n2/969 b/n2/969 new file mode 100644 index 00000000..6b3f290c --- /dev/null +++ b/n2/969 @@ -0,0 +1,5 @@ +61 +152 +5.0 +9849065888.395807 +4975880000.0 \ No newline at end of file diff --git a/n2/97 b/n2/97 new file mode 100644 index 00000000..bfced7a4 --- /dev/null +++ b/n2/97 @@ -0,0 +1,5 @@ +0 +91 +4.0 +7151244506.312621 +3980704000.0 \ No newline at end of file diff --git a/n2/970 b/n2/970 new file mode 100644 index 00000000..ab69bda9 --- /dev/null +++ b/n2/970 @@ -0,0 +1,5 @@ +61 +163 +0.5 +5232519061.52585 +557736000.0 \ No newline at end of file diff --git a/n2/971 b/n2/971 new file mode 100644 index 00000000..aa7a85a4 --- /dev/null +++ b/n2/971 @@ -0,0 +1,5 @@ +61 +163 +1.0 +5592515299.884923 +1115472000.0 \ No newline at end of file diff --git a/n2/972 b/n2/972 new file mode 100644 index 00000000..9895165c --- /dev/null +++ b/n2/972 @@ -0,0 +1,5 @@ +61 +163 +1.5 +6011100185.850685 +1673208000.0 \ No newline at end of file diff --git a/n2/973 b/n2/973 new file mode 100644 index 00000000..9291d0ea --- /dev/null +++ b/n2/973 @@ -0,0 +1,5 @@ +61 +163 +2.0 +6391351272.551918 +2230944000.0 \ No newline at end of file diff --git a/n2/974 b/n2/974 new file mode 100644 index 00000000..cfc29b2e --- /dev/null +++ b/n2/974 @@ -0,0 +1,5 @@ +61 +163 +2.5 +6944503770.125352 +2788680000.0 \ No newline at end of file diff --git a/n2/975 b/n2/975 new file mode 100644 index 00000000..d4e7802d --- /dev/null +++ b/n2/975 @@ -0,0 +1,5 @@ +61 +163 +3.0 +7503780566.135535 +3346416000.0 \ No newline at end of file diff --git a/n2/976 b/n2/976 new file mode 100644 index 00000000..3fcddaf4 --- /dev/null +++ b/n2/976 @@ -0,0 +1,5 @@ +61 +163 +3.5 +8056540804.465925 +3904152000.0 \ No newline at end of file diff --git a/n2/977 b/n2/977 new file mode 100644 index 00000000..40bbbad4 --- /dev/null +++ b/n2/977 @@ -0,0 +1,5 @@ +61 +163 +4.0 +8614276804.465927 +4461888000.0 \ No newline at end of file diff --git a/n2/978 b/n2/978 new file mode 100644 index 00000000..78d524f5 --- /dev/null +++ b/n2/978 @@ -0,0 +1,5 @@ +61 +163 +4.5 +9172012804.465927 +5019624000.0 \ No newline at end of file diff --git a/n2/979 b/n2/979 new file mode 100644 index 00000000..9e1a8853 --- /dev/null +++ b/n2/979 @@ -0,0 +1,5 @@ +61 +163 +5.0 +9729748804.465927 +5577360000.0 \ No newline at end of file diff --git a/n2/98 b/n2/98 new file mode 100644 index 00000000..23823eba --- /dev/null +++ b/n2/98 @@ -0,0 +1,5 @@ +0 +91 +4.5 +7648832506.312621 +4478292000.0 \ No newline at end of file diff --git a/n2/980 b/n2/980 new file mode 100644 index 00000000..d9ea307a --- /dev/null +++ b/n2/980 @@ -0,0 +1,5 @@ +71 +71 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/981 b/n2/981 new file mode 100644 index 00000000..ff818a92 --- /dev/null +++ b/n2/981 @@ -0,0 +1,5 @@ +71 +71 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/982 b/n2/982 new file mode 100644 index 00000000..e100a8dd --- /dev/null +++ b/n2/982 @@ -0,0 +1,5 @@ +71 +71 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/983 b/n2/983 new file mode 100644 index 00000000..5a3f35d6 --- /dev/null +++ b/n2/983 @@ -0,0 +1,5 @@ +71 +71 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/984 b/n2/984 new file mode 100644 index 00000000..d389dc53 --- /dev/null +++ b/n2/984 @@ -0,0 +1,5 @@ +71 +71 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/985 b/n2/985 new file mode 100644 index 00000000..15338249 --- /dev/null +++ b/n2/985 @@ -0,0 +1,5 @@ +71 +71 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/986 b/n2/986 new file mode 100644 index 00000000..1fa4df04 --- /dev/null +++ b/n2/986 @@ -0,0 +1,5 @@ +71 +71 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/987 b/n2/987 new file mode 100644 index 00000000..64d9a033 --- /dev/null +++ b/n2/987 @@ -0,0 +1,5 @@ +71 +71 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/988 b/n2/988 new file mode 100644 index 00000000..cd9e29a2 --- /dev/null +++ b/n2/988 @@ -0,0 +1,5 @@ +71 +71 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/989 b/n2/989 new file mode 100644 index 00000000..6f693e9a --- /dev/null +++ b/n2/989 @@ -0,0 +1,5 @@ +71 +71 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/n2/99 b/n2/99 new file mode 100644 index 00000000..c4db3ae4 --- /dev/null +++ b/n2/99 @@ -0,0 +1,5 @@ +0 +91 +5.0 +8146420506.312621 +4975880000.0 \ No newline at end of file diff --git a/n2/990 b/n2/990 new file mode 100644 index 00000000..978e621c --- /dev/null +++ b/n2/990 @@ -0,0 +1,5 @@ +71 +81 +0.5 +5443753544.716814 +54680000.0 \ No newline at end of file diff --git a/n2/991 b/n2/991 new file mode 100644 index 00000000..a77bdbff --- /dev/null +++ b/n2/991 @@ -0,0 +1,5 @@ +71 +81 +1.0 +5497580561.957638 +109360000.0 \ No newline at end of file diff --git a/n2/992 b/n2/992 new file mode 100644 index 00000000..0a93c66e --- /dev/null +++ b/n2/992 @@ -0,0 +1,5 @@ +71 +81 +1.5 +5549016052.1237755 +164040000.0 \ No newline at end of file diff --git a/n2/993 b/n2/993 new file mode 100644 index 00000000..cd6bb931 --- /dev/null +++ b/n2/993 @@ -0,0 +1,5 @@ +71 +81 +2.0 +5603172488.733725 +218720000.0 \ No newline at end of file diff --git a/n2/994 b/n2/994 new file mode 100644 index 00000000..24bc1be1 --- /dev/null +++ b/n2/994 @@ -0,0 +1,5 @@ +71 +81 +2.5 +5657817164.437863 +273400000.0 \ No newline at end of file diff --git a/n2/995 b/n2/995 new file mode 100644 index 00000000..ca61d4ef --- /dev/null +++ b/n2/995 @@ -0,0 +1,5 @@ +71 +81 +3.0 +5712497164.437863 +328080000.0 \ No newline at end of file diff --git a/n2/996 b/n2/996 new file mode 100644 index 00000000..3e268d9f --- /dev/null +++ b/n2/996 @@ -0,0 +1,5 @@ +71 +81 +3.5 +5767177164.437863 +382760000.0 \ No newline at end of file diff --git a/n2/997 b/n2/997 new file mode 100644 index 00000000..c9376564 --- /dev/null +++ b/n2/997 @@ -0,0 +1,5 @@ +71 +81 +4.0 +5821857164.437863 +437440000.0 \ No newline at end of file diff --git a/n2/998 b/n2/998 new file mode 100644 index 00000000..b27de941 --- /dev/null +++ b/n2/998 @@ -0,0 +1,5 @@ +71 +81 +4.5 +5876537164.437863 +492120000.0 \ No newline at end of file diff --git a/n2/999 b/n2/999 new file mode 100644 index 00000000..c0838ab6 --- /dev/null +++ b/n2/999 @@ -0,0 +1,5 @@ +71 +81 +5.0 +5931217164.437863 +546800000.0 \ No newline at end of file diff --git a/n2/wallcost.txt b/n2/wallcost.txt new file mode 100644 index 00000000..13c1ec7e --- /dev/null +++ b/n2/wallcost.txt @@ -0,0 +1 @@ +wall_cost = 109360*wall_h*(wall_end-wall_start)*100 diff --git a/newfile.txt b/newfile.txt new file mode 100644 index 00000000..76e579ae --- /dev/null +++ b/newfile.txt @@ -0,0 +1,2 @@ +test + diff --git a/opt_8_parts_coord.py b/opt_8_parts_coord.py new file mode 100644 index 00000000..4dad4f34 --- /dev/null +++ b/opt_8_parts_coord.py @@ -0,0 +1,185 @@ +import scipy as sp +import scipy.optimize +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +#input_name = sys.argv[1] +output_name = sys.argv[1] + +#x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +def objective2(h): + + w0 = np.ones(20)*h[0] + w1 = np.ones(20)*h[1] + w2 = np.ones(20)*h[2] + w3 = np.ones(20)*h[3] + w4 = np.ones(20)*h[4] + w5 = np.ones(20)*h[5] + w6 = np.ones(20)*h[6] + w7 = np.ones(23)*h[7] + + x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7)) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + print(h) + print(total_cost_new) + return total_cost_new + +def objective3(x_input): + x = np.zeros(163) + ws = int(max(x_input[0],0)) + we = int(min(x_input[1],162)) + wh = x_input[2] + x[ws:we] = np.ones(we-ws)*wh + print(x_input) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + return total_cost_new + +cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]}, + {'type': 'ineq', 'fun': lambda x: x[0]}, + {'type': 'ineq', 'fun': lambda x: 162-x[1]}, + {'type': 'ineq', 'fun': lambda x: x[2]}, + {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): + +wall_init = [40.,60.,1.0] +heights_init = [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0] +#x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True}) +#print(x_opt) + +heights_temp = heights_init +heights_min = 0 +cost_temp = objective2(heights_temp) +cost_min = cost_temp + +hvals = np.linspace(0,5.0,6) +for epoch in range(5): + for index in range(8): + for j, h_val in enumerate(hvals): + heights_temp[index] = h_val + cost_temp = objective2(heights_temp) + if cost_temp < cost_min: + heights_min = h_val + cost_min = cost_temp + print("new min") + print(heights_min) + #heights_temp[index] = heights_min +print(heights) + + + + +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("manywalls_runs\\"+output_name, 'w') +#f.write(str(input_name)) +#f.write(str(total_cost_new)) +#f.write(str(wall_cost)) +f.write(str(heights_init)) +f.write(str(x_opt)) +#f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +#f.write(str(wall_cost)) + diff --git a/opt_loop_coordinate_descent.py b/opt_loop_coordinate_descent.py new file mode 100644 index 00000000..1ce3f4cc --- /dev/null +++ b/opt_loop_coordinate_descent.py @@ -0,0 +1,119 @@ +import scipy as sp +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +input_name = sys.argv[1] +output_name = sys.argv[2] + +x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): + +total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=2) +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("manywalls_runs\\"+output_name, 'w') +f.write(str(input_name)) +f.write(str(total_cost_new)) +f.write(str(wall_cost)) +#f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +#f.write(str(wall_cost)) + diff --git a/opt_loops_notebook-Copy1.ipynb b/opt_loops_notebook-Copy1.ipynb new file mode 100644 index 00000000..1c567582 --- /dev/null +++ b/opt_loops_notebook-Copy1.ipynb @@ -0,0 +1,9509 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\pdine\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\scipy\\optimize\\minpack.py:795: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " category=OptimizeWarning)\n" + ] + } + ], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Nelder Mead" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2424580077.742787\n", + "0\n", + "2402670844.208201\n", + "0\n", + "2434418910.1450977\n", + "0\n", + "2119675730.5227022\n", + "0\n", + "2434422477.742787\n", + "0\n", + "2434422477.742787\n", + "0\n", + "2444264877.742787\n", + "0\n", + "2424580077.742787\n", + "0\n", + "2435898837.742787\n", + "0\n", + 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"0\n", + "1884210266.105033\n", + "0\n", + "1869972175.706218\n", + "0\n", + "1984869880.5256183\n", + "0\n", + "1870036906.0674627\n", + "0\n", + "1871996151.9323046\n", + "0\n", + "1934142735.4802458\n", + "0\n", + "1991107708.8929446\n", + "0\n", + "1875717141.8403423\n", + "0\n", + "1877448104.6818042\n", + "0\n", + "1867937236.9273856\n", + "0\n", + "1869135719.9266617\n", + "0\n", + "1873071419.763039\n", + "0\n", + "1875659704.4933953\n", + "0\n", + "1880455195.8958385\n", + "0\n", + "2044669316.598187\n", + "0\n", + "1884107768.7838404\n", + "0\n", + "1878846212.2321916\n", + "0\n", + "1865798006.1796448\n", + "0\n", + "1863560470.4658546\n", + "0\n", + "2040328943.1143818\n", + "0\n", + "1923038055.287873\n", + "0\n", + "1873864134.8854136\n", + "0\n", + "1924485515.19216\n", + "0\n", + "1872356475.780799\n", + "0\n", + "1922831944.8516438\n", + "0\n", + "1872317640.5304024\n", + "0\n", + "1925372018.8339381\n", + "0\n", + "1871182702.3355854\n", + "Optimization terminated successfully.\n", + " Current function value: 1863560470.465855\n", + " Iterations: 34\n", + " Function evaluations: 66\n", + " allvecs: [array([2., 2., 2., 2., 2., 2., 2., 2.]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2.09155273, 1.85405273, 2.09155273, 2.00717773, 1.98608398,\n", + " 1.92675781, 2.09155273, 1.9597168 ]), array([2.09155273, 1.85405273, 2.09155273, 2.00717773, 1.98608398,\n", + " 1.92675781, 2.09155273, 1.9597168 ]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.09008954, 1.91974652, 2.14633954, 1.93862927, 2.0429517 ,\n", + " 1.97960806, 2.0145036 , 1.89210474]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699])]\n", + " final_simplex: (array([[2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699],\n", + " [2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093],\n", + " [2.12258211, 1.9184067 , 2.16733694, 1.91706265, 1.95006296,\n", + " 1.9645698 , 1.99981992, 1.9345508 ],\n", + " [2.11360333, 1.93522025, 2.18123904, 1.93815941, 1.94953926,\n", + " 1.96503809, 1.99239858, 1.93854094],\n", + " [2.09541589, 1.9224462 , 2.18867816, 1.91938707, 1.96329172,\n", + " 1.96014341, 1.96871908, 1.95278354],\n", + " [2.10753656, 1.9297961 , 2.17018903, 1.93284177, 1.95129379,\n", + " 1.96389488, 1.99942266, 1.94451234],\n", + " [2.11167006, 1.93941512, 2.16801207, 1.92850158, 1.95328716,\n", + " 1.96528663, 1.99404879, 1.94760289],\n", + " [2.1067928 , 1.91898174, 2.16895062, 1.93094397, 1.96771727,\n", + " 1.97007559, 2.00440497, 1.93740332],\n", + " [2.12443722, 1.93887127, 2.15959347, 1.95726478, 1.94183886,\n", + " 1.96650003, 1.958446 , 1.93740021]]), array([1.86356047e+09, 1.86577879e+09, 1.86579801e+09, 1.86793724e+09,\n", + " 1.86913572e+09, 1.87118270e+09, 1.87231764e+09, 1.87235648e+09,\n", + " 1.87307142e+09]))\n", + " fun: 1863560470.4658546\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 66\n", + " nit: 34\n", + " status: 0\n", + " success: True\n", + " x: array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699])\n", + "Elapsed Time: 69.2554817199707 sec\n" + ] + }, + { + "data": { + "text/plain": [ + "4999" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "start_time = time.time()\n", + "\n", + "#for ws in np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "#wall_init = [40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e6, options = {'disp': True, 'return_all': True})\n", + "print(x_opt) \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "#print('Optimal Variables:',x)\n", + "#print('Corresponding Cost:',total_cost_new)\n", + "\n", + "#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w')\n", + "f = open(\"manywalls_runs\\\\\"+output_name, 'w')\n", + "#f.write(str(input_name))\n", + "#f.write(str(total_cost_new))\n", + "#f.write(str(wall_cost))\n", + "f.write(str(heights_init))\n", + "f.write(str(x_opt))\n", + "#f.write(str(ws)+'\\n'+str(we) + '\\n' + str(wh) +'\\n' +str(total_cost_new)+'\\n')\n", + "#f.write(str(wall_cost))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Random starts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3352665919.4220233\n", + "0\n", + 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evaluations: 200\n", + " allvecs: [array([4.28637115, 4.31943204, 4.29443312, 3.18856273, 4.09384736,\n", + " 4.80792644, 1.41758374, 3.70869623]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 3.86537999,\n", + " 4.36774763, 1.50681001, 3.78567024]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 3.86537999,\n", + " 4.36774763, 1.50681001, 3.78567024]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 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1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399])]\n", + " final_simplex: (array([[5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399],\n", + " [5.06924183, 3.99592905, 4.03945789, 4.2397369 , 1.7738917 ,\n", + " 1.73610516, 1.84251764, 3.65962171],\n", + " [5.07070445, 3.99599375, 4.04255386, 4.23777116, 1.77890078,\n", + " 1.73250485, 1.8420529 , 3.66171296],\n", + " [5.0656699 , 3.99315648, 4.047423 , 4.23151097, 1.77804561,\n", + " 1.73971974, 1.84155245, 3.66426211],\n", + " [5.06841455, 3.9860802 , 4.0684836 , 4.22243865, 1.78054557,\n", + " 1.75038307, 1.83851708, 3.66536744],\n", + " [5.06368402, 3.99105043, 4.05801609, 4.23285738, 1.82596263,\n", + " 1.73510236, 1.84000813, 3.6701061 ],\n", + " [5.06400987, 3.99738609, 4.05369291, 4.23039003, 1.83443924,\n", + " 1.73486428, 1.83906453, 3.66655104],\n", + " [5.06371805, 3.99797946, 4.05371857, 4.23047995, 1.83864169,\n", + " 1.73476026, 1.83890284, 3.66656636],\n", + " [5.07160767, 3.99540028, 4.04964222, 4.24860769, 1.84346815,\n", + " 1.72816451, 1.84087133, 3.6604832 ]]), array([2.63780504e+09, 2.63873667e+09, 2.63902618e+09, 2.63972517e+09,\n", + " 2.64292824e+09, 2.64497521e+09, 2.64534801e+09, 2.64578415e+09,\n", + " 2.64619063e+09]))\n", + " fun: 2637805044.6712575\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 200\n", + " nit: 107\n", + " status: 0\n", + " success: True\n", + " x: array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399])\n", + "Elapsed Time: 208.71827936172485 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4068747093.989183\n", + "0\n", + "4087693639.9995227\n", + "0\n", + "4061248278.4248915\n", + "0\n", + "3821356198.287007\n", + "0\n", + 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value: 2024595372.344662\n", + " Iterations: 83\n", + " Function evaluations: 147\n", + " allvecs: [array([3.84998497, 0.85954594, 1.78152407, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.86725632, 0.90872956, 1.8834637 , 1.79996555, 4.58440344,\n", + " 3.90300368, 0.43772359, 4.08659525]), array([3.86725632, 0.90872956, 1.8834637 , 1.79996555, 4.58440344,\n", + " 3.90300368, 0.43772359, 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[2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733],\n", + " [2.75623234, 1.43542135, 2.90762263, 1.99478594, 1.89447062,\n", + " 0.93851678, 0.33606038, 4.30313764],\n", + " [2.76687364, 1.43476947, 2.90338732, 1.99229109, 1.92004956,\n", + " 0.94042507, 0.33600714, 4.29190519],\n", + " [2.77815877, 1.43305129, 2.8930372 , 1.99472779, 1.93401739,\n", + " 0.94009325, 0.33754928, 4.28653642],\n", + " [2.75727399, 1.43733752, 2.89900868, 1.99628541, 1.90075809,\n", + " 0.93624536, 0.33729714, 4.2978607 ]]), array([2.02459537e+09, 2.02481596e+09, 2.02535129e+09, 2.02634356e+09,\n", + " 2.02637748e+09, 2.02644634e+09, 2.02841346e+09, 2.02898402e+09,\n", + " 2.03118112e+09]))\n", + " fun: 2024595372.3446622\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 147\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916])\n", + "Elapsed Time: 167.57228994369507 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2809331089.9681726\n", + "0\n", + "2825161354.928509\n", + "0\n", + "2831555104.89111\n", + "0\n", + "2497217010.204301\n", + "0\n", + "2807911978.611231\n", + "0\n", + "2820444810.384971\n", + "0\n", + "2842298444.5589\n", + "0\n", + "2809331089.9681726\n", + "0\n", + "2828834331.685265\n", + "0\n", + "2577255803.2875037\n", + "0\n", + "2522757648.3083115\n", + "0\n", + "2638166536.9828324\n", + "0\n", + "2569738120.2764072\n", + "0\n", + "2563253300.0422425\n", + "0\n", + "2511237778.137709\n", + "0\n", + "2471824867.1194744\n", + "0\n", + "2511230541.0011983\n", + "0\n", + "2467644483.5874968\n", + "0\n", + "2539492412.579972\n", + "0\n", + "2432561615.697009\n", + "0\n", + "2441314918.4804807\n", + "0\n", + "2461007139.7013865\n", + "0\n", + "2460894567.3954716\n", + "0\n", + "2455754269.851009\n", + "0\n", + 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"0\n", + "1852863883.8203068\n", + "0\n", + "1850809012.707371\n", + "0\n", + "1851845623.3227077\n", + "0\n", + "1851488159.613323\n", + "0\n", + "1871312849.4531958\n", + "0\n", + "1868982743.094577\n", + "0\n", + "1903459044.6748855\n", + "0\n", + "1853158537.4878764\n", + "0\n", + "1902788200.356042\n", + "0\n", + "1852267324.0055423\n", + "Optimization terminated successfully.\n", + " Current function value: 1850483232.335144\n", + " Iterations: 116\n", + " Function evaluations: 207\n", + " allvecs: [array([3.21674896, 4.51597475, 2.0406221 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.22877446, 4.42122583, 2.13792654, 0.24340669, 2.28662667,\n", + " 3.22174976, 2.68204391, 0.57833132]), array([3.23178084, 4.3975386 , 2.16225265, 0.23165574, 2.29369948,\n", + " 3.18980621, 2.69490667, 0.57727574]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.1570049 , 4.41644101, 2.14284042, 0.23743191, 2.24740534,\n", + " 3.21529716, 2.64676165, 0.60724577]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.23039185, 4.21107419, 2.17737933, 0.24169914, 2.28737348,\n", + " 3.15541231, 2.67409098, 0.59213294]), array([3.25689242, 4.22360768, 2.1681525 , 0.24284859, 2.36921688,\n", + " 3.11357403, 2.62899895, 0.59830483]), array([3.25689242, 4.22360768, 2.1681525 , 0.24284859, 2.36921688,\n", + " 3.11357403, 2.62899895, 0.59830483]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.14181225, 4.2114613 , 2.15684649, 0.24364515, 2.39929938,\n", + " 3.03623987, 2.65965085, 0.60541423]), array([3.09713005, 4.28915214, 2.14582717, 0.23809429, 2.3605624 ,\n", + " 2.88689154, 2.74138048, 0.60554832]), array([3.09713005, 4.28915214, 2.14582717, 0.23809429, 2.3605624 ,\n", + " 2.88689154, 2.74138048, 0.60554832]), array([3.17928466, 4.10170515, 2.16536787, 0.24507105, 2.44306988,\n", + " 2.79649809, 2.71779243, 0.60392544]), array([3.17928466, 4.10170515, 2.16536787, 0.24507105, 2.44306988,\n", + " 2.79649809, 2.71779243, 0.60392544]), array([3.17928466, 4.10170515, 2.16536787, 0.24507105, 2.44306988,\n", + " 2.79649809, 2.71779243, 0.60392544]), array([3.17928466, 4.10170515, 2.16536787, 0.24507105, 2.44306988,\n", + " 2.79649809, 2.71779243, 0.60392544]), array([3.17928466, 4.10170515, 2.16536787, 0.24507105, 2.44306988,\n", + " 2.79649809, 2.71779243, 0.60392544]), array([2.86883758, 4.09851441, 2.15393882, 0.24402832, 2.47248843,\n", + " 2.78293423, 2.82479569, 0.60260534]), array([2.86883758, 4.09851441, 2.15393882, 0.24402832, 2.47248843,\n", + " 2.78293423, 2.82479569, 0.60260534]), array([2.86883758, 4.09851441, 2.15393882, 0.24402832, 2.47248843,\n", + " 2.78293423, 2.82479569, 0.60260534]), array([2.91852918, 4.07091483, 2.14874711, 0.24203442, 2.5232257 ,\n", + " 2.53234272, 2.87426698, 0.60241911]), array([2.91852918, 4.07091483, 2.14874711, 0.24203442, 2.5232257 ,\n", + " 2.53234272, 2.87426698, 0.60241911]), array([2.91852918, 4.07091483, 2.14874711, 0.24203442, 2.5232257 ,\n", + " 2.53234272, 2.87426698, 0.60241911]), array([2.91852918, 4.07091483, 2.14874711, 0.24203442, 2.5232257 ,\n", + " 2.53234272, 2.87426698, 0.60241911]), array([2.89413138, 3.88464517, 2.16982167, 0.24685675, 2.45977333,\n", + " 2.35330022, 2.94695722, 0.6002723 ]), array([2.89413138, 3.88464517, 2.16982167, 0.24685675, 2.45977333,\n", + " 2.35330022, 2.94695722, 0.6002723 ]), array([2.89413138, 3.88464517, 2.16982167, 0.24685675, 2.45977333,\n", + " 2.35330022, 2.94695722, 0.6002723 ]), array([2.39258128, 3.87136918, 2.14614556, 0.2412738 , 2.61625856,\n", + " 2.09758114, 3.20781804, 0.59499818]), array([2.39258128, 3.87136918, 2.14614556, 0.2412738 , 2.61625856,\n", + " 2.09758114, 3.20781804, 0.59499818]), array([2.64502069, 3.67053203, 2.16028372, 0.24615996, 2.67951081,\n", + " 1.68550854, 3.21891494, 0.5986338 ]), array([2.64502069, 3.67053203, 2.16028372, 0.24615996, 2.67951081,\n", + " 1.68550854, 3.21891494, 0.5986338 ]), array([2.64502069, 3.67053203, 2.16028372, 0.24615996, 2.67951081,\n", + " 1.68550854, 3.21891494, 0.5986338 ]), array([2.0906239 , 3.33354786, 2.16851197, 0.25628417, 2.72458017,\n", + " 1.40378674, 3.46119937, 0.59371633]), array([2.0906239 , 3.33354786, 2.16851197, 0.25628417, 2.72458017,\n", + " 1.40378674, 3.46119937, 0.59371633]), array([2.0906239 , 3.33354786, 2.16851197, 0.25628417, 2.72458017,\n", + " 1.40378674, 3.46119937, 0.59371633]), array([2.0906239 , 3.33354786, 2.16851197, 0.25628417, 2.72458017,\n", + " 1.40378674, 3.46119937, 0.59371633]), array([2.2177012 , 3.44380769, 2.16388674, 0.24775107, 2.70157883,\n", + " 1.26235944, 3.49538115, 0.58853373]), array([2.2177012 , 3.44380769, 2.16388674, 0.24775107, 2.70157883,\n", + " 1.26235944, 3.49538115, 0.58853373]), array([2.2177012 , 3.44380769, 2.16388674, 0.24775107, 2.70157883,\n", + " 1.26235944, 3.49538115, 0.58853373]), array([2.2177012 , 3.44380769, 2.16388674, 0.24775107, 2.70157883,\n", + " 1.26235944, 3.49538115, 0.58853373]), array([2.13005943, 3.15165742, 2.18049717, 0.2546158 , 2.83337532,\n", + " 0.86676445, 3.61690969, 0.59135813]), array([2.13005943, 3.15165742, 2.18049717, 0.2546158 , 2.83337532,\n", + " 0.86676445, 3.61690969, 0.59135813]), array([2.13005943, 3.15165742, 2.18049717, 0.2546158 , 2.83337532,\n", + " 0.86676445, 3.61690969, 0.59135813]), array([2.13005943, 3.15165742, 2.18049717, 0.2546158 , 2.83337532,\n", + " 0.86676445, 3.61690969, 0.59135813]), array([2.13005943, 3.15165742, 2.18049717, 0.2546158 , 2.83337532,\n", + " 0.86676445, 3.61690969, 0.59135813]), array([2.09851857, 3.27182058, 2.167022 , 0.25331669, 2.76109404,\n", + " 1.04420645, 3.5679402 , 0.59418429]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ])]\n", + " final_simplex: (array([[2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ],\n", + " [2.07161588, 3.14880804, 2.17593025, 0.25820839, 2.80523977,\n", + " 1.00994729, 3.57512909, 0.593302 ],\n", + " [2.07294032, 3.15722875, 2.1754801 , 0.25768495, 2.8037791 ,\n", + " 1.01172059, 3.57690977, 0.59302432],\n", + " [2.07153443, 3.15520401, 2.17496106, 0.25792801, 2.80745639,\n", + " 1.00705488, 3.57488224, 0.59385624],\n", + " [2.0717721 , 3.14612667, 2.17585272, 0.25823111, 2.81039419,\n", + " 1.00502811, 3.57549383, 0.59345737],\n", + " [2.07563904, 3.15485525, 2.17524202, 0.25786916, 2.80817836,\n", + " 1.00539237, 3.57466265, 0.59363395],\n", + " [2.07135502, 3.15468983, 2.17513811, 0.2578542 , 2.80888895,\n", + " 1.00421871, 3.57637768, 0.59383012],\n", + " [2.07170704, 3.14061169, 2.17630241, 0.25833447, 2.81242845,\n", + " 0.99575313, 3.57805972, 0.59366542],\n", + " [2.07494354, 3.14942312, 2.17568549, 0.25797458, 2.80862773,\n", + " 0.99821342, 3.57728459, 0.59349555]]), array([1.85048323e+09, 1.85080901e+09, 1.85148816e+09, 1.85168748e+09,\n", + " 1.85184562e+09, 1.85226732e+09, 1.85240198e+09, 1.85286388e+09,\n", + " 1.85315854e+09]))\n", + " fun: 1850483232.3351443\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 207\n", + " nit: 116\n", + " status: 0\n", + " success: True\n", + " x: array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ])\n", + "Elapsed Time: 230.86645126342773 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6066047179.157729\n", + "0\n", + "6023895481.235591\n", + "0\n", + "6075507629.70001\n", + "0\n", + "6084029491.472817\n", + "0\n", + "6086587900.297631\n", + "0\n", + "6134521994.282498\n", + "0\n", + "6101749648.5848\n", + "0\n", + "6066047179.157729\n", + "0\n", + "5929388101.147558\n", + "0\n", + "5849618312.429088\n", + "0\n", + "6016836036.799093\n", + "0\n", + "5879040344.668987\n", + "0\n", + "5876627482.405048\n", + "0\n", + "5866338805.050076\n", + "0\n", + "5780324910.939717\n", + "0\n", + "5794794947.631969\n", + "0\n", + "5784020124.574317\n", + "0\n", + "5806019762.437531\n", + "0\n", + "5829258374.26237\n", + "0\n", + 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"Optimization terminated successfully.\n", + " Current function value: 3583836585.856857\n", + " Iterations: 108\n", + " Function evaluations: 192\n", + " allvecs: [array([0.8090627 , 1.9230901 , 3.6540503 , 4.17392529, 0.66084263,\n", + " 3.627415 , 4.95350566, 0.95551606]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.83375333, 1.86158503, 3.6627929 , 4.15456382, 0.64470878,\n", + " 3.57870704, 5.10467466, 0.98467609]), array([0.83375333, 1.86158503, 3.6627929 , 4.15456382, 0.64470878,\n", + " 3.57870704, 5.10467466, 0.98467609]), array([0.83375333, 1.86158503, 3.6627929 , 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2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117])]\n", + " final_simplex: (array([[1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117],\n", + " [1.36058284, 1.76401041, 3.29152313, 2.97814773, 0.64184926,\n", + " 0.99229353, 5.23533522, 1.23390624],\n", + " [1.3603388 , 1.76052271, 3.29027172, 2.98698902, 0.64357868,\n", + " 0.99399401, 5.24286254, 1.23163622],\n", + " [1.3601921 , 1.76216778, 3.29056253, 2.9859566 , 0.64330781,\n", + " 0.9942982 , 5.2363968 , 1.2323203 ],\n", + " [1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094],\n", + " [1.36031371, 1.76575695, 3.29272697, 2.98548648, 0.64062569,\n", + " 1.00226866, 5.24425924, 1.22898482],\n", + " [1.35914782, 1.76409263, 3.2922739 , 2.9880769 , 0.64198049,\n", + " 1.0003799 , 5.2404261 , 1.23096517],\n", + " [1.35915308, 1.76446521, 3.29237952, 2.98843343, 0.64168687,\n", + " 1.00365306, 5.24096438, 1.23015925],\n", + " [1.35911098, 1.76260012, 3.28871653, 2.99337258, 0.64335739,\n", + " 1.00914345, 5.23910152, 1.22924374]]), array([3.58383659e+09, 3.58507319e+09, 3.58628737e+09, 3.58702336e+09,\n", + " 3.58799898e+09, 3.58946669e+09, 3.59188565e+09, 3.59233001e+09,\n", + " 3.59291499e+09]))\n", + " fun: 3583836585.856857\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 192\n", + " nit: 108\n", + " status: 0\n", + " success: True\n", + " x: array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117])\n", + "Elapsed Time: 209.1165475845337 sec\n", + "0\n" + ] + }, + { + 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"1997203824.5309246\n", + "0\n", + "1997620123.4444916\n", + "0\n", + "1997689731.6952534\n", + "0\n", + "1998883522.1608653\n", + "0\n", + "2006972591.9546518\n", + "0\n", + "2000995516.8024764\n", + "0\n", + "1996943048.7992523\n", + "Optimization terminated successfully.\n", + " Current function value: 1991898237.325239\n", + " Iterations: 90\n", + " Function evaluations: 149\n", + " allvecs: [array([1.66516003, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.76044125, 2.03905524, 4.74758315, 4.8554546 , 2.14468947,\n", + " 0.77658549, 1.7396754 , 4.27801654]), array([1.76044125, 2.03905524, 4.74758315, 4.8554546 , 2.14468947,\n", + " 0.77658549, 1.7396754 , 4.27801654]), array([1.82892463, 2.06076081, 4.71764402, 4.76532115, 2.15157386,\n", + " 0.71956736, 1.88941202, 4.13050993]), array([1.82892463, 2.06076081, 4.71764402, 4.76532115, 2.15157386,\n", + " 0.71956736, 1.88941202, 4.13050993]), array([1.82892463, 2.06076081, 4.71764402, 4.76532115, 2.15157386,\n", + " 0.71956736, 1.88941202, 4.13050993]), array([1.82892463, 2.06076081, 4.71764402, 4.76532115, 2.15157386,\n", + " 0.71956736, 1.88941202, 4.13050993]), array([1.938533 , 1.94747321, 4.94286233, 4.71299345, 2.07852241,\n", + " 0.76435924, 1.7642759 , 4.13084506]), array([1.938533 , 1.94747321, 4.94286233, 4.71299345, 2.07852241,\n", + " 0.76435924, 1.7642759 , 4.13084506]), array([1.938533 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array([2.08473429, 2.05333653, 4.79390756, 4.5225151 , 2.04239156,\n", + " 0.73001142, 1.78239694, 3.84604263]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.44827807, 2.05952494, 4.38435342, 4.18283397, 2.1503057 ,\n", + " 0.66811583, 1.86422025, 3.34088231]), array([2.60226066, 2.23271608, 4.46040759, 4.03576317, 2.09662547,\n", + " 0.59305423, 1.90462911, 2.81339274]), array([2.60226066, 2.23271608, 4.46040759, 4.03576317, 2.09662547,\n", + " 0.59305423, 1.90462911, 2.81339274]), array([2.60226066, 2.23271608, 4.46040759, 4.03576317, 2.09662547,\n", + " 0.59305423, 1.90462911, 2.81339274]), array([2.60226066, 2.23271608, 4.46040759, 4.03576317, 2.09662547,\n", + " 0.59305423, 1.90462911, 2.81339274]), array([3.16109646, 2.10120495, 4.20825432, 3.42326001, 1.99291007,\n", + " 0.53381639, 2.10655158, 2.36592656]), array([3.16109646, 2.10120495, 4.20825432, 3.42326001, 1.99291007,\n", + " 0.53381639, 2.10655158, 2.36592656]), array([3.16109646, 2.10120495, 4.20825432, 3.42326001, 1.99291007,\n", + " 0.53381639, 2.10655158, 2.36592656]), array([3.16109646, 2.10120495, 4.20825432, 3.42326001, 1.99291007,\n", + " 0.53381639, 2.10655158, 2.36592656]), array([3.16109646, 2.10120495, 4.20825432, 3.42326001, 1.99291007,\n", + " 0.53381639, 2.10655158, 2.36592656]), array([3.40996856, 2.27792199, 3.62907067, 3.47126855, 2.04005728,\n", + " 0.44119025, 2.15226249, 1.60047432]), array([3.40996856, 2.27792199, 3.62907067, 3.47126855, 2.04005728,\n", + " 0.44119025, 2.15226249, 1.60047432]), array([3.59106692, 2.32363861, 3.98932318, 2.99070972, 2.00794664,\n", + " 0.45062867, 1.99174937, 1.35923816]), array([3.59106692, 2.32363861, 3.98932318, 2.99070972, 2.00794664,\n", + " 0.45062867, 1.99174937, 1.35923816]), array([3.59106692, 2.32363861, 3.98932318, 2.99070972, 2.00794664,\n", + " 0.45062867, 1.99174937, 1.35923816]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.8886627 , 2.12536111, 3.66228787, 2.83625907, 2.02793684,\n", + " 0.47747372, 2.04306259, 0.85038725]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.74166952, 2.08672991, 4.23598513, 2.49591798, 1.94764722,\n", + " 0.58980647, 1.83520769, 1.36059698]), array([3.72849782, 2.03864695, 3.86961003, 2.87741813, 1.94889197,\n", + " 0.58319593, 1.89507816, 1.28607795]), array([3.72849782, 2.03864695, 3.86961003, 2.87741813, 1.94889197,\n", + " 0.58319593, 1.89507816, 1.28607795]), array([3.72849782, 2.03864695, 3.86961003, 2.87741813, 1.94889197,\n", + " 0.58319593, 1.89507816, 1.28607795]), array([3.72849782, 2.03864695, 3.86961003, 2.87741813, 1.94889197,\n", + " 0.58319593, 1.89507816, 1.28607795]), array([3.61253259, 2.06375932, 3.95778379, 2.89658137, 2.01673356,\n", + " 0.58667426, 1.8681485 , 1.51756567]), array([3.61253259, 2.06375932, 3.95778379, 2.89658137, 2.01673356,\n", + " 0.58667426, 1.8681485 , 1.51756567]), array([3.78833247, 2.04709724, 4.05979592, 2.61812714, 1.95170086,\n", + " 0.6039521 , 1.76631763, 1.29022192]), array([3.78833247, 2.04709724, 4.05979592, 2.61812714, 1.95170086,\n", + " 0.6039521 , 1.76631763, 1.29022192]), array([3.78833247, 2.04709724, 4.05979592, 2.61812714, 1.95170086,\n", + " 0.6039521 , 1.76631763, 1.29022192]), array([3.78833247, 2.04709724, 4.05979592, 2.61812714, 1.95170086,\n", + " 0.6039521 , 1.76631763, 1.29022192]), array([3.78833247, 2.04709724, 4.05979592, 2.61812714, 1.95170086,\n", + " 0.6039521 , 1.76631763, 1.29022192]), array([3.71057866, 2.06673553, 4.10065824, 2.69870274, 1.96201797,\n", + " 0.60683941, 1.77238102, 1.33180969]), array([3.71057866, 2.06673553, 4.10065824, 2.69870274, 1.96201797,\n", + " 0.60683941, 1.77238102, 1.33180969]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666])]\n", + " final_simplex: (array([[3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666],\n", + " [3.75271626, 2.04681598, 4.09629976, 2.60288498, 1.96011229,\n", + " 0.60787198, 1.78877273, 1.35429372],\n", + " [3.75507982, 2.04326395, 4.11962688, 2.5887082 , 1.96364124,\n", + " 0.60821872, 1.77967636, 1.35117041],\n", + " [3.75092343, 2.04130003, 4.08176827, 2.63640137, 1.9567344 ,\n", + " 0.60564821, 1.79706004, 1.34479981],\n", + " [3.74739773, 2.04169154, 4.06090515, 2.64757445, 1.96497041,\n", + " 0.60425095, 1.79884783, 1.35101739],\n", + " [3.73961004, 2.04806987, 4.08082885, 2.65525283, 1.96017387,\n", + " 0.60675939, 1.78800064, 1.33179818],\n", + " [3.77298746, 2.03826431, 4.07564574, 2.60724021, 1.95711386,\n", + " 0.60614525, 1.7900852 , 1.31488865],\n", + " [3.76488526, 2.04424275, 4.09492598, 2.59811067, 1.95552245,\n", + " 0.60434537, 1.79585231, 1.3290895 ],\n", + " [3.77848695, 2.03825073, 4.06039769, 2.61496503, 1.95501532,\n", + " 0.60531573, 1.78496894, 1.31100429]]), array([1.99189824e+09, 1.99531517e+09, 1.99607448e+09, 1.99616267e+09,\n", + " 1.99694305e+09, 1.99720382e+09, 1.99762012e+09, 1.99768973e+09,\n", + " 1.99888352e+09]))\n", + " fun: 1991898237.3252392\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 149\n", + " nit: 90\n", + " status: 0\n", + " success: True\n", 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"0\n", + "1543364991.0515776\n", + "0\n", + "1557582842.5762167\n", + "0\n", + "1543146913.468657\n", + "0\n", + "1559430612.5547595\n", + "0\n", + "1543181761.5146701\n", + "0\n", + "1545956104.8713193\n", + "0\n", + "1543550029.6677063\n", + "0\n", + "1538864928.004536\n", + "0\n", + "1542853774.4456882\n", + "Optimization terminated successfully.\n", + " Current function value: 1533444479.341547\n", + " Iterations: 83\n", + " Function evaluations: 145\n", + " allvecs: [array([2.84585156, 0.94247606, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", 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2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373])]\n", + " final_simplex: (array([[2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373],\n", + " [2.21336297, 1.72227239, 2.15208762, 0.96198309, 2.30418182,\n", + " 1.02050932, 7.22965925, 1.06529811],\n", + " [2.20761266, 1.7194166 , 2.14399516, 0.96222568, 2.32274461,\n", + " 0.99772516, 7.2457456 , 1.08722047],\n", + " [2.19776642, 1.72219028, 2.14292604, 0.9628824 , 2.30659439,\n", + " 1.02699566, 7.23215111, 1.07539403],\n", + " [2.20166288, 1.72497502, 2.1504527 , 0.96346913, 2.29788419,\n", + " 1.01770772, 7.24439967, 1.0616519 ],\n", + " [2.19947802, 1.72394233, 2.14211858, 0.96283969, 2.30462357,\n", + " 1.0298646 , 7.23980118, 1.06988123],\n", + " [2.19506649, 1.72391206, 2.14360092, 0.96333437, 2.31173029,\n", + " 1.02468284, 7.23509473, 1.06886068],\n", + " [2.19551172, 1.72366401, 2.1427825 , 0.96405941, 2.30996818,\n", + " 1.02586318, 7.23526034, 1.07013369],\n", + " [2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]]), array([1.53344448e+09, 1.53886493e+09, 1.54175772e+09, 1.54283284e+09,\n", + " 1.54285377e+09, 1.54314691e+09, 1.54318176e+09, 1.54336499e+09,\n", + " 1.54337133e+09]))\n", + " fun: 1533444479.3415465\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 145\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373])\n", + "Elapsed Time: 166.41846346855164 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2634975607.475019\n", + "0\n", + "2639980269.4060917\n", + "0\n", + "2651245416.436707\n", + "0\n", + "2748282209.224035\n", + "0\n", + "2651759839.9881787\n", + "0\n", + "2652035000.7222595\n", + "0\n", + "2712434815.250415\n", + "0\n", + "2634975607.475019\n", + "0\n", + "2663146058.3564153\n", + "0\n", + "2911001249.959249\n", + "0\n", + "2687884888.4150147\n", + "0\n", + "2690428389.683675\n", + "0\n", + "2637367868.5804267\n", + "0\n", + 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"0\n", + "2564821509.0709515\n", + "0\n", + "2564984691.214748\n", + "0\n", + "2564876929.7591243\n", + "Optimization terminated successfully.\n", + " Current function value: 2564637718.623260\n", + " Iterations: 53\n", + " Function evaluations: 132\n", + " allvecs: [array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 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array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 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+ " 1.21990175, 0.13867158, 4.92429963]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125])]\n", + " final_simplex: (array([[2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125],\n", + " [2.17299073, 3.35209092, 2.15980287, 3.45449102, 3.49080582,\n", + " 1.21942288, 0.1387738 , 4.91615025],\n", + " [2.17255577, 3.35218139, 2.15987534, 3.454609 , 3.49057867,\n", + " 1.21927495, 0.13876695, 4.91663008],\n", + " [2.17224199, 3.35262959, 2.15984321, 3.45504746, 3.49023165,\n", + " 1.21931694, 0.13876355, 4.91631373],\n", + " [2.17282257, 3.35248266, 2.15970348, 3.45525901, 3.49083118,\n", + " 1.21930178, 0.13875198, 4.91597197],\n", + " [2.17246999, 3.35243783, 2.15980324, 3.4545314 , 3.4913774 ,\n", + " 1.21932942, 0.13875445, 4.91640431],\n", + " [2.17311053, 3.35218303, 2.15961548, 3.45446394, 3.49049378,\n", + " 1.21942714, 0.1387275 , 4.91766335],\n", + " [2.17245424, 3.3523503 , 2.15962408, 3.45471911, 3.49081668,\n", + " 1.21938078, 0.13876046, 4.91688956],\n", + " [2.17244068, 3.35182652, 2.15972242, 3.45473494, 3.4910336 ,\n", + " 1.21933372, 0.13875139, 4.91741198]]), array([2.56463772e+09, 2.56467792e+09, 2.56472123e+09, 2.56477390e+09,\n", + " 2.56478582e+09, 2.56482151e+09, 2.56485511e+09, 2.56487693e+09,\n", + " 2.56488065e+09]))\n", + " fun: 2564637718.6232595\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 132\n", + " nit: 53\n", + " status: 0\n", + " success: True\n", + " x: array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125])\n", + "Elapsed Time: 143.50041842460632 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5921854788.269861\n", + "0\n", + "5913397279.167826\n", + "0\n", + 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x_opt_list.append(x_opt)\n", + " print(x_opt) \n", + " elapsed_time = time.time() - start_time\n", + " print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "\n", + "\n", + "#print('Optimal Variables:',x)\n", + "#print('Corresponding Cost:',total_cost_new)\n", + "\n", + "#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w')\n", + "f = open(\"manywalls_runs\\\\\"+output_name, 'w')\n", + "#f.write(str(input_name))\n", + "#f.write(str(total_cost_new))\n", + "#f.write(str(wall_cost))\n", + "f.write(str(heights_init))\n", + "f.write(str(x_opt))\n", + "#f.write(str(ws)+'\\n'+str(we) + '\\n' + str(wh) +'\\n' +str(total_cost_new)+'\\n')\n", + "#f.write(str(wall_cost))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Coordinate Descent" + ] + }, + { + "cell_type": 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[40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "#x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + "#print(x_opt) \n", + "\n", + "heights_temp = heights_init.copy()\n", + "heights_min = heights_temp.copy()\n", + "cost_temp = objective2(heights_temp)\n", + "cost_min = cost_temp\n", + "epoch_min_prev = heights_init.copy()\n", + "min_store = []\n", + "\n", + "\n", + "hvals = np.linspace(0,5.0,11)\n", + "for epoch in range(8):\n", + " print(epoch)\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + "print(heights_min)\n", + "\n", + " \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2424580077.742787\n", + "-------------epoch--------------\n", + "0\n", + "0\n", + "5663704594.237622\n", + "[0. 2. 2. 2. 2. 2. 2. 2.]\n", + "[2. 2. 2. 2. 2. 2. 2. 2.]\n", + "0\n", + "5469534386.122973\n", + "[0.16666667 2. 2. 2. 2. 2.\n", + " 2. 2. ]\n", + "[2. 2. 2. 2. 2. 2. 2. 2.]\n", + "0\n", + "5385866603.612106\n", + "[0.33333333 2. 2. 2. 2. 2.\n", + " 2. 2. ]\n", + 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np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "wall_init = [40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "#x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + "#print(x_opt) \n", + "\n", + "heights_temp = heights_init.copy()\n", + "heights_min = heights_temp.copy()\n", + "cost_temp = objective2(heights_temp)\n", + "cost_min = cost_temp\n", + "epoch_min_prev = heights_init.copy()\n", + "min_store = []\n", + "\n", + "\n", + "hvals = np.linspace(0,5.0,31)\n", + "for epoch in range(10):\n", + " print(\"-------------epoch--------------\\n\"+str(epoch))\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + "print(heights_min)\n", + "\n", + " \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.16666667 1.33333333 2.16666667 0.16666667 0.83333333 1.\n", + " 2. 1.16666667]\n", + "0\n", + "1460164799.2464008\n", + "1460164799.2464008\n" + ] + } + ], + "source": [ + "print(heights_min)\n", + "print(objective2(heights_min))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2404344056.3113294, 2397740773.348466, 2371158820.0546913, 2361260370.158409, 1917558563.7038617, 1829938683.4052715, 1803315697.4081438, 1696266746.4701924, 1563764275.4545393, 1553287085.845192, 1472613732.2833352, 1460164799.2464008]\n" + ] + } + ], + "source": [ + "print(min_store)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n" + ] + } + ], + "source": [ + "cost_store = []\n", + "for array in min_store:\n", + " cost_store.append(objective2(array))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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hgTkb+cQvFrJW+6eLRIUKXfpcXjCZhz9zNo/dOIHd+5uY/sgCfjZnI6EWzdZFToYKXTxz6ZiBzLl3CleeNYgH525i+iMLWL2j1utYInFLhS6eyg0m87NPj+fXN5extyHEVb9YyE//voGmFp1uV+R4qdAlJnx0dBFz7p3CVeMH8fC8zUx/eCErK2q8jiUSV1ToEjNy0pN54FPjeeLWMmoOhLj60Tf58avrNVsX6SEVusScaSVF/P3ei/nk2cX84rV/ccVDC3j3fc3WRbqjQpeYlJ2WxI+vO4vf3HYu9U0tfPLRhfzgb+s42KzZukhnVOgS0z4yqpBX753Cp8qG8Kt/buHjD73B8u37vI4lEpNU6BLzslKT+OE143jqc+dxINTKtb98k+//VbN1kWOp0CVuTDmjgFfvncL15w1l5vwtXP7gGyzbVu11LJGYoUKXuJKZmsT3rx7L07efT1NLG9c+9hb3v7yWAyHN1kVU6BKXLhyZz6v3TuHG84fx+IKtXPbgfN7eqtm69G8qdIlbGSkB7v/EGH53x/m0OsenZ77F915aQ2OoxetoIp5QoUvcm3RaPq/cM4VbLhjOk2++x6U/f4NFW/Z6HUukz6nQxReCKQG+N/1Mnp0xETO4fuYivvun1VTsa8Q553U8kT5hXv1jLysrc0uXLvXkucXfGkMt/PjVDTz55ns4Fz5d75jibMYVZzN2cDZji7M5JTsVM/M6qshxM7NlzrmyDh9ToYtfbdpdx6Kt1ayqqGFlRS2bKutpbQv/e8/POFLyY4qzGTc4h6KsFJW8xLyuCj3Q12FE+srIokxGFmUCwwA42NzK2l37Wb2jlpUVtazeUcv8jVVEOp6CzBTGFodn8OMiM/nCrFTvXoDIcVKhS7+RmpTIOUNzOWdo7uFtB0KtrN1Vy6qKWlbuCJf86xsqD5d8Udahks9h7OAsxhbnUJCZ4tErEOlat4VuZk8AVwCVzrkxHTyeDTwNDI38vp84534T7aAivSEtOZEJw/KYMCzv8LaGphbW7trPqopaVu0If81dX8mh1clTslOPLNdEZvL5GSp58V5PZuhPAo8AT3Xy+F3AWufclWZWAGwws2ecc6EoZRTpU8GUAOcOz+Pc4UdKvr6phTU7jhT8qh21zFm7+/Djg7JTOWdYLt+6vJTinDQvYot0X+jOuflmNryrIUCmhT9NygCqAR3ZIb6SkRLg/BEDOH/EgMPb6g42s2bnkZn8vPWVvPWvvfzyxgmcd2peF79NpHf0aC+XSKG/3MmSSybwElACZAKfds79pZPfMwOYATB06NAJ27ZtO+HgIrFmc2U9M55ayvbqRr43/UxunDjM60jiQ13t5RKNA4s+BrwLDALGA4+YWVZHA51zM51zZc65soKCgig8tUjsOL0wgz/eNZmLRubzHy+u5lsvrCLU0uZ1LOlHolHotwEvuLDNwFbCs3WRfic7LYlZt5zLl6aexuy3t/PZXy+iqq7J61jST0Sj0LcD5QBmVgSMArZE4feKxKXEBOPfLi3h4c+czeqdtVz58AJWVuiaqNL7ui10M5sNvAWMMrMKM7vdzO40szsjQ+4HJpnZKmAu8A3n3J7eiywSH648axDPf3ESiQnGtY+9xQvLK7yOJD6nQ/9Fetne+ibu+t1yFm2p5vMXnso3LyshkKjz4smJ6e0PRUWkCwMyUvif28/n1knDmbVgK7c9uYSaRh2mIdGnQhfpA0mJCXxv+pn86JpxLN5SzfRHFrLhgzqvY4nPqNBF+tCnzh3C7BkTOdDcytWPLuSV1R94HUl8RIUu0scmDMvlz3dfyMiiTO58ehk/m7ORtjZdhENOngpdxAMDs1P5/YyJXHPOYB6cu4k7n15GfZPOmCEnR4Uu4pHUpER+ct04vnvFaOaur+STjy7kvT0NXseSOKZCF/GQmfG5C0/lqc+dR2VdE9MfWcD8jVVex5I4pUIXiQGTT8/npbsuZFBOGrf+5m1mzv+XLm4tx02FLhIjhg5I5/kvTuJjZw7k+39dz72/f5eDza1ex5I4okIXiSHBlACP3nAO9330DF58dyfXPfYWO2sOeB1L4oQKXSTGmBlfLh/JrJvL2LqngemPLGDJe9Vex5I4oEIXiVGXjC7ixbsmkZmaxGd/vYhnFuuCMNI1FbpIDDu9MJMX75rMpNPy+fc/rubf/6iLZkjnVOgiMS47LYknbj2XOy8+jWcWb+eGWbpohnRMhS4SBxITjG9eVsKD149n1Y5apj+ygFUVtV7HkhijQheJI1eNL+a5OyeRYMb1M99iqT4slXZU6CJxZkxxNi98aRJFWanc8sTbKnU5TIUuEoeKslKZPWPi4VJftk2lLip0kbh1qNQLs1K5+XGVuqjQReJaUVYqs+8Il/otTyxh2bZ9XkcSD6nQReLcwOxwqRdkpkSWX1Tq/ZUKXcQHDpV6fkaySr0fU6GL+MTA7PCa+qFSX75dpd7fqNBFfOSU7DRmz5jIgIxkbnlcpd7fqNBFfOaU7DSenTGRvEipv6NS7zdU6CI+dEp2GrPvCJf6zSr1fkOFLuJTg3LCpZ4bDJf6u+/XeB1JepkKXcTHBuWEl19yg8ncNGuxSt3nVOgiPjcoJ/xBaW4wmZseX8wKlbpvqdBF+oHiSKnnpCdxo0rdt1ToIv1EcU4az864QKXuYyp0kX6kOPJB6aFSX1mhUveTbgvdzJ4ws0ozW93FmKlm9q6ZrTGzf0Y3oohE0+DcdGbfMZHstCRunKVS95OezNCfBC7t7EEzywEeBaY7584ErotONBHpLYNz03l2xkSyIqWuy9n5Q7eF7pybD3R1ouXPAi8457ZHxldGKZuI9KJDM/WstCRumLVIpe4D0VhDPwPINbPXzWyZmd0chd8pIn1gSF641DNTw2vqq3eo1ONZNAo9AEwAPg58DPiOmZ3R0UAzm2FmS81saVVVVRSeWkRO1pC88PJLRkqAG2ap1ONZNAq9AnjFOdfgnNsDzAfO6migc26mc67MOVdWUFAQhacWkWhQqftDNAr9T8BFZhYws3TgfGBdFH6viPQhlXr868lui7OBt4BRZlZhZreb2Z1mdieAc24d8AqwEngbmOWc63QXRxGJXSr1+GbOOU+euKyszC1dutST5xaRrm3f28j1M9+isbmVZz5/PmcOyvY6kkSY2TLnXFlHj+lIURH5kKED0nl2xgWkJyVyw6zFrNmpmXo80AxdRDrVfqZ+x0UjGBBMJjeYTF4wmdz0ZAYEk8lOSyIhwbyO2m90NUMP9HUYEYkfQwekM3vGRG57cgk/fnVDh2MSDHLSwyWfl55MbjCJvGAKecEkcg9tb/8mkJFMWlIiZnoTiDYVuoh0adiAIPPum8rB5laqG0JUN4TY1xg6crshxN5227buaWDZthr2NYZobet4BSAlkPChoj98O5jMoOxUpo4qJFEz/+OiQheRHklNSmRQThqDctJ6NN45x/6DLUcVf3VDiOrGdm8CkfvvVzeytyFE3cGWwz8/pjiL//rEWMYPyemtl+Q7KnQR6RVmRnZaEtlpSZyaH+zRz4Ra2qg5EGLRlmr++y9rufrRhXzmvKF842MlZKcn9XLi+Ke9XEQkZiQHEijMTGX6WYOYe99Ubp98Kr9f8j7Tfvo6zy2rwKudOOKFCl1EYlJGSoD/uGI0f777QobnB/n6H1bw6V8tYsMHdV5Hi1kqdBGJaaMHZfGHL1zAj64Zx6bKOj7+0Bv84K/raGhq6f6H+xkVuojEvIQE41PnDmHefVO5dsJgfjV/C5c88E9eWb1LyzDtqNBFJG7kBpP54TXjeP6Lk8hJT+bOp5dz25NL2La3wetoMUGFLiJxZ8KwXP5892S+c8Volmyt5v/8bD4Pzd1EU0ur19E8pUIXkbgUSEzg9gtPZe59U/no6CIemLORS3/+Bm9s6r8Xz1Ghi0hcG5idyiOfPYf/uf08AG56/G3u+t1ydu8/6HGyvqdCFxFfuGhkAX+75yK+9tEzmLN2N+U//SePL9hKS2ub19H6jApdRHwjNSmRr5SPZM69Uygbnsv9L6/liocXsGxbtdfR+oQKXUR8Z9iAIL+59Vweu/Ecag80c80v3+Kbz69kX0PI62i9SoUuIr5kZlw65hT+8bWL+cKUETy3rIJpP32d3y/ZTlsnZ4GMdyp0EfG1YEqAb11eyl++chGnF2bwjedXce1jb7J2536vo0WdCl1E+oVRAzP53y9cwE+uO4v39jZy5SMLuP/ltdT76BQCOn2uiPQbZsa1EwZzSWkhP3p1A08s3MrLK3dyx0UjGJybTkFmCoWZKRRkppCalOh13OOma4qKSL/1zvZ9fOdPq1m948PLL5mpAQoyUyjICBf84a929wszU8kLJvfplZV0TVERkQ6cPTSXP999IZV1TVS1/6o/+v6anfup3H+QhtCHTy2QYDAgo/PiL2y3LSMl0KvXUlWhi0i/ZmYUZaVSlJXa7diGphb21Hde/JV1TWz4oI499U20dLAnTWpSAgWZKdxywXA+f9GIqL8WFbqISA8FUwIEUwIMG9D1JfXa2hw1B5rbFf/Bo4q/IDOlV/Kp0EVEoiwhwcgLJpMXTGbUwMy+e94+eyYREelVKnQREZ9QoYuI+IQKXUTEJ1ToIiI+oUIXEfEJFbqIiE+o0EVEfMKzk3OZWRWw7QR/PB/YE8U4scbPr0+vLX75+fXF02sb5pwr6OgBzwr9ZJjZ0s7ONuYHfn59em3xy8+vzy+vTUsuIiI+oUIXEfGJeC30mV4H6GV+fn16bfHLz6/PF68tLtfQRUTkw+J1hi4iIsdQoYuI+ETcFbqZXWpmG8xss5l90+s80WJmQ8zsNTNbZ2ZrzOwerzNFm5klmtk7Zvay11mizcxyzOw5M1sf+W94gdeZosXM7o38m1xtZrPNrPtrtcUwM3vCzCrNbHW7bXlmNsfMNkW+53qZ8UTFVaGbWSLwC+AyYDTwGTMb7W2qqGkB7nPOlQITgbt89NoOuQdY53WIXvIg8IpzrgQ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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(range(len(min_store)),min_store)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/opt_loops_notebook.ipynb b/opt_loops_notebook.ipynb new file mode 100644 index 00000000..9362596e --- /dev/null +++ b/opt_loops_notebook.ipynb @@ -0,0 +1,19297 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\pdine\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\scipy\\optimize\\minpack.py:795: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " category=OptimizeWarning)\n" + ] + } + ], + "source": [ + "import scipy as sp\n", + "import scipy.optimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import glob \n", + "import datetime\n", + "from scipy.optimize import minimize\n", + "import sys\n", + "\n", + "from fun_floodestimate import FloodHeight\n", + "from fun_floodestimate import FloodHeightWall\n", + "from fun_floodestimate import FloodTravelSectGroup\n", + "from fun_floodestimate import SurfaceVolFunc\n", + "from fun_damagecost import damage\n", + "\n", + "from fun_objective_loop_manywalls import objective\n", + "#from fun_objective_loop import constraint1\n", + "#from fun_objective_loop import constraint2\n", + "#from fun_objective_loop import constraint3\n", + "\n", + "#input_name = sys.argv[1]\n", + "output_name = sys.argv[1]\n", + "\n", + "#x = np.loadtxt(input_name)\n", + "\n", + "#ws = int(sys.argv[1])\n", + "#we = int(sys.argv[2])\n", + "#wh = float(sys.argv[3])\n", + "#wall_year = int(sys.argv[4])\n", + "#fname = sys.argv[5]\n", + "\n", + "# setup\n", + "# Surface Volume Input\n", + "ndiv18 = 18\n", + "sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6]\n", + "files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') \n", + "groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') \n", + "H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8))\n", + "\n", + "SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2])\n", + "SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2])\n", + "SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2])\n", + "SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2])\n", + "SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2])\n", + "\n", + "i = 0\n", + "for f in groupcsvfiles:\n", + " surfaceVg = pd.read_csv(f)[\"volume\"]\n", + " SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H)\n", + " i = i + 1 \n", + "\n", + "\n", + "SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2])\n", + "SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2])\n", + "SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2])\n", + "SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2])\n", + "SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2])\n", + "\n", + "SV_all = []\n", + "i = 0\n", + "for f in files:\n", + " surfaceV_height = pd.read_csv(f)\n", + " surfaceV = surfaceV_height[\"volume\"]\n", + " SV_all = np.append(SV_all,surfaceV)\n", + " SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H)\n", + " i = i+1\n", + "SV_all = SV_all.reshape(18,21)\n", + "\n", + "roughness = pd.read_csv(\"Roughness.csv\")[\"Roughness\"]\n", + "slope = pd.read_csv(\"LMN_Slope.csv\")[\"Slope\"]\n", + "\n", + "# Setup - Division Connectivities\n", + "sect3 = np.zeros([len(sections)-6,7])\n", + "k = 3\n", + "for i in sections[3:-3]:\n", + " sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]]\n", + " k = k + 1\n", + "\n", + "sect0 = [sections[0],sections[1],sections[2],sections[3]] \n", + "sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]]\n", + "sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]]\n", + "\n", + "sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]]\n", + "\n", + "# initial value\n", + "total_cost = 75*10**9 # total cost without any protective measure\n", + "cost_opt = total_cost\n", + "x_opt \t = [0,2040,0,0]\n", + "\n", + "def objective2(h):\n", + " \n", + " w0 = np.ones(20)*h[0]\n", + " w1 = np.ones(20)*h[1]\n", + " w2 = np.ones(20)*h[2]\n", + " w3 = np.ones(20)*h[3]\n", + " w4 = np.ones(20)*h[4]\n", + " w5 = np.ones(20)*h[5]\n", + " w6 = np.ones(20)*h[6]\n", + " w7 = np.ones(23)*h[7]\n", + "\n", + " x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7))\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " print(total_cost_new)\n", + " return total_cost_new\n", + "\n", + "def objective3(x_input):\n", + " x = np.zeros(163)\n", + " ws = int(max(x_input[0],0))\n", + " we = int(min(x_input[1],162))\n", + " wh = x_input[2]\n", + " x[ws:we] = np.ones(we-ws)*wh\n", + " print(x_input)\n", + " \n", + " total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20,\n", + " SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20,\n", + " SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1)\n", + " return total_cost_new\n", + "\n", + "cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: x[0]},\n", + " {'type': 'ineq', 'fun': lambda x: 162-x[1]},\n", + " {'type': 'ineq', 'fun': lambda x: x[2]},\n", + " {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}]\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Nelder Mead" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "2424580077.742787\n", + "0\n", + "2402670844.208201\n", + "0\n", + "2434418910.1450977\n", + "0\n", + "2119675730.5227022\n", + "0\n", + "2434422477.742787\n", + "0\n", + "2434422477.742787\n", + "0\n", + "2444264877.742787\n", + "0\n", + "2424580077.742787\n", + "0\n", + "2435898837.742787\n", + "0\n", + "2426101073.3145633\n", + "0\n", + "2206422131.946311\n", + "0\n", + "2215296108.9428205\n", + "0\n", + "2161301299.241634\n", + "0\n", + "2099926009.672359\n", + "0\n", + "2096869937.7217948\n", 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array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2. , 2. , 2.1, 2. , 2. , 2. , 2. , 2. ]), array([2.09155273, 1.85405273, 2.09155273, 2.00717773, 1.98608398,\n", + " 1.92675781, 2.09155273, 1.9597168 ]), array([2.09155273, 1.85405273, 2.09155273, 2.00717773, 1.98608398,\n", + " 1.92675781, 2.09155273, 1.9597168 ]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.13626251, 1.97805939, 2.13626251, 1.99124298, 1.9549881 ,\n", + " 1.95848999, 1.89876251, 1.90966949]), array([2.09008954, 1.91974652, 2.14633954, 1.93862927, 2.0429517 ,\n", + " 1.97960806, 2.0145036 , 1.89210474]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699]), array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699])]\n", + " final_simplex: (array([[2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699],\n", + " [2.11261192, 1.89968315, 2.18292442, 1.92328659, 1.92868963,\n", + " 1.97451007, 2.0181295 , 1.96513093],\n", + " [2.12258211, 1.9184067 , 2.16733694, 1.91706265, 1.95006296,\n", + " 1.9645698 , 1.99981992, 1.9345508 ],\n", + " [2.11360333, 1.93522025, 2.18123904, 1.93815941, 1.94953926,\n", + " 1.96503809, 1.99239858, 1.93854094],\n", + " [2.09541589, 1.9224462 , 2.18867816, 1.91938707, 1.96329172,\n", + " 1.96014341, 1.96871908, 1.95278354],\n", + " [2.10753656, 1.9297961 , 2.17018903, 1.93284177, 1.95129379,\n", + " 1.96389488, 1.99942266, 1.94451234],\n", + " [2.11167006, 1.93941512, 2.16801207, 1.92850158, 1.95328716,\n", + " 1.96528663, 1.99404879, 1.94760289],\n", + " [2.1067928 , 1.91898174, 2.16895062, 1.93094397, 1.96771727,\n", + " 1.97007559, 2.00440497, 1.93740332],\n", + " [2.12443722, 1.93887127, 2.15959347, 1.95726478, 1.94183886,\n", + " 1.96650003, 1.958446 , 1.93740021]]), array([1.86356047e+09, 1.86577879e+09, 1.86579801e+09, 1.86793724e+09,\n", + " 1.86913572e+09, 1.87118270e+09, 1.87231764e+09, 1.87235648e+09,\n", + " 1.87307142e+09]))\n", + " fun: 1863560470.4658546\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 66\n", + " nit: 34\n", + " status: 0\n", + " success: True\n", + " x: array([2.11522657, 1.92091608, 2.17854405, 1.93205091, 1.95689214,\n", + " 1.94267497, 2.00141457, 1.94637699])\n", + "Elapsed Time: 69.2554817199707 sec\n" + ] + }, + { + "data": { + "text/plain": [ + "4999" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "start_time = time.time()\n", + "\n", + "#for ws in np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "#wall_init = [40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e6, options = {'disp': True, 'return_all': True})\n", + "print(x_opt) \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "#print('Optimal Variables:',x)\n", + "#print('Corresponding Cost:',total_cost_new)\n", + "\n", + "#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w')\n", + "f = open(\"manywalls_runs\\\\\"+output_name, 'w')\n", + "#f.write(str(input_name))\n", + "#f.write(str(total_cost_new))\n", + "#f.write(str(wall_cost))\n", + "f.write(str(heights_init))\n", + "f.write(str(x_opt))\n", + "#f.write(str(ws)+'\\n'+str(we) + '\\n' + str(wh) +'\\n' +str(total_cost_new)+'\\n')\n", + "#f.write(str(wall_cost))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Random starts" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3352665919.4220233\n", + "0\n", + "3373760009.1125093\n", + "0\n", + "3373922708.3825283\n", + "0\n", + "3373799683.68831\n", + "0\n", + "3368357474.328615\n", + "0\n", + "3372812561.0542555\n", + "0\n", + "3399987454.6415577\n", + "0\n", + "3352665919.4220233\n", + "0\n", + 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"0\n", + "2746719797.033508\n", + "0\n", + "2652375456.582161\n", + "0\n", + "2639026176.598995\n", + "0\n", + "2744898861.3550243\n", + "0\n", + "2649839787.4783506\n", + "0\n", + "2745453347.962276\n", + "0\n", + "2648963274.385833\n", + "0\n", + "2745259070.154809\n", + "0\n", + "2648420551.513886\n", + "0\n", + "2638736672.832276\n", + "0\n", + "2745174265.088432\n", + "0\n", + "2646190626.5201726\n", + "0\n", + "2744950011.089333\n", + "0\n", + "2645784150.0489354\n", + "0\n", + "2744833554.889466\n", + "0\n", + "2645348013.356682\n", + "0\n", + "2744581883.1792145\n", + "0\n", + "2644975206.507823\n", + "Optimization terminated successfully.\n", + " Current function value: 2637805044.671257\n", + " Iterations: 107\n", + " Function evaluations: 200\n", + " allvecs: [array([4.28637115, 4.31943204, 4.29443312, 3.18856273, 4.09384736,\n", + " 4.80792644, 1.41758374, 3.70869623]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.36674061, 4.40042139, 4.37495374, 3.24834828, 4.170607 ,\n", + " 4.3271338 , 1.44416344, 3.77823429]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 3.86537999,\n", + " 4.36774763, 1.50681001, 3.78567024]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 3.86537999,\n", + " 4.36774763, 1.50681001, 3.78567024]), array([4.33012698, 4.23539768, 4.28165519, 3.38925886, 3.86537999,\n", + " 4.36774763, 1.50681001, 3.78567024]), array([4.38037782, 4.13888947, 4.26698053, 3.45159895, 4.24266315,\n", + " 3.86222978, 1.54947649, 3.87407008]), array([4.38037782, 4.13888947, 4.26698053, 3.45159895, 4.24266315,\n", + " 3.86222978, 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array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399])]\n", + " final_simplex: (array([[5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399],\n", + " [5.06924183, 3.99592905, 4.03945789, 4.2397369 , 1.7738917 ,\n", + " 1.73610516, 1.84251764, 3.65962171],\n", + " [5.07070445, 3.99599375, 4.04255386, 4.23777116, 1.77890078,\n", + " 1.73250485, 1.8420529 , 3.66171296],\n", + " [5.0656699 , 3.99315648, 4.047423 , 4.23151097, 1.77804561,\n", + " 1.73971974, 1.84155245, 3.66426211],\n", + " [5.06841455, 3.9860802 , 4.0684836 , 4.22243865, 1.78054557,\n", + " 1.75038307, 1.83851708, 3.66536744],\n", + " [5.06368402, 3.99105043, 4.05801609, 4.23285738, 1.82596263,\n", + " 1.73510236, 1.84000813, 3.6701061 ],\n", + " [5.06400987, 3.99738609, 4.05369291, 4.23039003, 1.83443924,\n", + " 1.73486428, 1.83906453, 3.66655104],\n", + " [5.06371805, 3.99797946, 4.05371857, 4.23047995, 1.83864169,\n", + " 1.73476026, 1.83890284, 3.66656636],\n", + " [5.07160767, 3.99540028, 4.04964222, 4.24860769, 1.84346815,\n", + " 1.72816451, 1.84087133, 3.6604832 ]]), array([2.63780504e+09, 2.63873667e+09, 2.63902618e+09, 2.63972517e+09,\n", + " 2.64292824e+09, 2.64497521e+09, 2.64534801e+09, 2.64578415e+09,\n", + " 2.64619063e+09]))\n", + " fun: 2637805044.6712575\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 200\n", + " nit: 107\n", + " status: 0\n", + " success: True\n", + " x: array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399])\n", + "Elapsed Time: 208.71827936172485 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4068747093.989183\n", + "0\n", + "4087693639.9995227\n", + "0\n", + "4061248278.4248915\n", + "0\n", + "3821356198.287007\n", + "0\n", + "4077473894.8199267\n", + "0\n", + "4091505804.317295\n", + "0\n", + "4109004872.2305098\n", + "0\n", + "4068747093.989183\n", + "0\n", + "4092472011.693254\n", + "0\n", + "3935995993.017382\n", + "0\n", + "3918031270.6084795\n", + "0\n", + "3886556547.0664787\n", + "0\n", + 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"0\n", + "2080899184.8963714\n", + "0\n", + "2190086935.441708\n", + "0\n", + "2039301000.0375075\n", + "0\n", + "2190373140.46642\n", + "0\n", + "2038694029.3365078\n", + "0\n", + "2191251532.36166\n", + "0\n", + "2037018444.0417135\n", + "0\n", + "2191528271.82142\n", + "0\n", + "2036737010.4742785\n", + "0\n", + "2025135961.0640972\n", + "0\n", + "2024595372.3446622\n", + "0\n", + "2025351289.9886472\n", + "0\n", + "2024815959.7570987\n", + "0\n", + "2042043749.6112165\n", + "0\n", + "2036694181.0605748\n", + "0\n", + "2026343555.9481704\n", + "0\n", + "2031181119.8688455\n", + "0\n", + "2036041998.323134\n", + "0\n", + "2026446339.8319566\n", + "Optimization terminated successfully.\n", + " Current function value: 2024595372.344662\n", + " Iterations: 83\n", + " Function evaluations: 147\n", + " allvecs: [array([3.84998497, 0.85954594, 1.78152407, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.86725632, 0.90872956, 1.8834637 , 1.79996555, 4.58440344,\n", + " 3.90300368, 0.43772359, 4.08659525]), array([3.86725632, 0.90872956, 1.8834637 , 1.79996555, 4.58440344,\n", + " 3.90300368, 0.43772359, 4.08659525]), array([3.86977506, 0.86218054, 1.89832989, 1.80385318, 4.57853763,\n", + " 3.87569838, 0.47240689, 4.07120319]), array([3.86977506, 0.86218054, 1.89832989, 1.80385318, 4.57853763,\n", + " 3.87569838, 0.47240689, 4.07120319]), array([3.71289215, 0.90534049, 1.97038696, 1.76038977, 4.2962138 ,\n", + " 3.88139407, 0.45822067, 4.33118249]), array([3.71289215, 0.90534049, 1.97038696, 1.76038977, 4.2962138 ,\n", + " 3.88139407, 0.45822067, 4.33118249]), array([3.71289215, 0.90534049, 1.97038696, 1.76038977, 4.2962138 ,\n", + " 3.88139407, 0.45822067, 4.33118249]), array([3.71289215, 0.90534049, 1.97038696, 1.76038977, 4.2962138 ,\n", + " 3.88139407, 0.45822067, 4.33118249]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.82303229, 0.96748735, 2.04599168, 1.80109787, 4.27523125,\n", + " 3.58663757, 0.43623402, 3.94280114]), array([3.48509228, 1.04239099, 2.28941083, 1.81706055, 3.73651787,\n", + " 3.16792767, 0.40249372, 4.35687813]), array([3.48509228, 1.04239099, 2.28941083, 1.81706055, 3.73651787,\n", + " 3.16792767, 0.40249372, 4.35687813]), array([3.48509228, 1.04239099, 2.28941083, 1.81706055, 3.73651787,\n", + " 3.16792767, 0.40249372, 4.35687813]), array([3.48509228, 1.04239099, 2.28941083, 1.81706055, 3.73651787,\n", + " 3.16792767, 0.40249372, 4.35687813]), array([3.48509228, 1.04239099, 2.28941083, 1.81706055, 3.73651787,\n", + " 3.16792767, 0.40249372, 4.35687813]), array([3.64830571, 1.09235273, 2.21282828, 1.79324132, 3.72672172,\n", + " 2.79699766, 0.42892697, 4.15191071]), array([3.64830571, 1.09235273, 2.21282828, 1.79324132, 3.72672172,\n", + " 2.79699766, 0.42892697, 4.15191071]), array([3.64830571, 1.09235273, 2.21282828, 1.79324132, 3.72672172,\n", + " 2.79699766, 0.42892697, 4.15191071]), array([3.64830571, 1.09235273, 2.21282828, 1.79324132, 3.72672172,\n", + " 2.79699766, 0.42892697, 4.15191071]), array([3.64830571, 1.09235273, 2.21282828, 1.79324132, 3.72672172,\n", + " 2.79699766, 0.42892697, 4.15191071]), array([3.4605902 , 1.1760306 , 2.52397434, 1.86951945, 2.88011351,\n", + " 2.33728967, 0.37804526, 4.17793636]), array([3.4605902 , 1.1760306 , 2.52397434, 1.86951945, 2.88011351,\n", + " 2.33728967, 0.37804526, 4.17793636]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916])]\n", + " final_simplex: (array([[2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916],\n", + " [2.75389757, 1.43610957, 2.8934014 , 1.99594032, 1.93025799,\n", + " 0.94392201, 0.33786492, 4.28920283],\n", + " [2.77809725, 1.43514492, 2.8964492 , 1.99331856, 1.90346257,\n", + " 0.94497661, 0.33634851, 4.29204924],\n", + " [2.75702059, 1.43742252, 2.89954685, 1.99653007, 1.89907485,\n", + " 0.93663596, 0.3371603 , 4.29789198],\n", + " [2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733],\n", + " [2.75623234, 1.43542135, 2.90762263, 1.99478594, 1.89447062,\n", + " 0.93851678, 0.33606038, 4.30313764],\n", + " [2.76687364, 1.43476947, 2.90338732, 1.99229109, 1.92004956,\n", + " 0.94042507, 0.33600714, 4.29190519],\n", + " [2.77815877, 1.43305129, 2.8930372 , 1.99472779, 1.93401739,\n", + " 0.94009325, 0.33754928, 4.28653642],\n", + " [2.75727399, 1.43733752, 2.89900868, 1.99628541, 1.90075809,\n", + " 0.93624536, 0.33729714, 4.2978607 ]]), array([2.02459537e+09, 2.02481596e+09, 2.02535129e+09, 2.02634356e+09,\n", + " 2.02637748e+09, 2.02644634e+09, 2.02841346e+09, 2.02898402e+09,\n", + " 2.03118112e+09]))\n", + " fun: 2024595372.3446622\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 147\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916])\n", + "Elapsed Time: 167.57228994369507 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2809331089.9681726\n", + "0\n", + "2825161354.928509\n", + "0\n", + "2831555104.89111\n", + "0\n", + 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array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ])]\n", + " final_simplex: (array([[2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ],\n", + " [2.07161588, 3.14880804, 2.17593025, 0.25820839, 2.80523977,\n", + " 1.00994729, 3.57512909, 0.593302 ],\n", + " [2.07294032, 3.15722875, 2.1754801 , 0.25768495, 2.8037791 ,\n", + " 1.01172059, 3.57690977, 0.59302432],\n", + " [2.07153443, 3.15520401, 2.17496106, 0.25792801, 2.80745639,\n", + " 1.00705488, 3.57488224, 0.59385624],\n", + " [2.0717721 , 3.14612667, 2.17585272, 0.25823111, 2.81039419,\n", + " 1.00502811, 3.57549383, 0.59345737],\n", + " [2.07563904, 3.15485525, 2.17524202, 0.25786916, 2.80817836,\n", + " 1.00539237, 3.57466265, 0.59363395],\n", + " [2.07135502, 3.15468983, 2.17513811, 0.2578542 , 2.80888895,\n", + " 1.00421871, 3.57637768, 0.59383012],\n", + " [2.07170704, 3.14061169, 2.17630241, 0.25833447, 2.81242845,\n", + " 0.99575313, 3.57805972, 0.59366542],\n", + " [2.07494354, 3.14942312, 2.17568549, 0.25797458, 2.80862773,\n", + " 0.99821342, 3.57728459, 0.59349555]]), array([1.85048323e+09, 1.85080901e+09, 1.85148816e+09, 1.85168748e+09,\n", + " 1.85184562e+09, 1.85226732e+09, 1.85240198e+09, 1.85286388e+09,\n", + " 1.85315854e+09]))\n", + " fun: 1850483232.3351443\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 207\n", + " nit: 116\n", + " status: 0\n", + " success: True\n", + " x: array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ])\n", + "Elapsed Time: 230.86645126342773 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6066047179.157729\n", + "0\n", + "6023895481.235591\n", + "0\n", + "6075507629.70001\n", + "0\n", + "6084029491.472817\n", + "0\n", + "6086587900.297631\n", + "0\n", + "6134521994.282498\n", + "0\n", + "6101749648.5848\n", + "0\n", + "6066047179.157729\n", + "0\n", + "5929388101.147558\n", + "0\n", + "5849618312.429088\n", + "0\n", + "6016836036.799093\n", + "0\n", + "5879040344.668987\n", + "0\n", + "5876627482.405048\n", + "0\n", + "5866338805.050076\n", + "0\n", + "5780324910.939717\n", + "0\n", + "5794794947.631969\n", + "0\n", + "5784020124.574317\n", + "0\n", + "5806019762.437531\n", + "0\n", + "5829258374.26237\n", + "0\n", + "5823705907.716543\n", + "0\n", + "5871115939.6538315\n", + "0\n", + "5869513571.946138\n", + "0\n", + "5796284461.381968\n", + "0\n", + "5883692629.212\n", + "0\n", + "5785873282.37299\n", + "0\n", + "5834923722.68311\n", + "0\n", + 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"3595979919.2821493\n", + "0\n", + "3632285843.0821266\n", + "0\n", + "3605341844.081907\n", + "0\n", + "3739575179.2617655\n", + "0\n", + "3604917598.583045\n", + "0\n", + "3589466688.9743457\n", + "0\n", + "3611520830.273868\n", + "0\n", + "3600632253.3176003\n", + "0\n", + "3585073185.6969194\n", + "0\n", + "3754459566.003309\n", + "0\n", + "3583836585.856857\n", + "0\n", + "3625372071.152203\n", + "0\n", + "3606802423.522066\n", + "0\n", + "3596049261.418095\n", + "0\n", + "3625996385.842099\n", + "0\n", + "3595594477.161666\n", + "0\n", + "3608741050.7001157\n", + "0\n", + "3592330011.505668\n", + "0\n", + "3587023357.2193246\n", + "0\n", + "3605668283.1756268\n", + "0\n", + "3591885647.017684\n", + "0\n", + "3586287365.3618894\n", + "Optimization terminated successfully.\n", + " Current function value: 3583836585.856857\n", + " Iterations: 108\n", + " Function evaluations: 192\n", + " allvecs: [array([0.8090627 , 1.9230901 , 3.6540503 , 4.17392529, 0.66084263,\n", + " 3.627415 , 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array([1.34659834, 1.75875382, 3.31059766, 3.00843051, 0.64135569,\n", + " 1.06784932, 5.26667897, 1.22039513]), array([1.34659834, 1.75875382, 3.31059766, 3.00843051, 0.64135569,\n", + " 1.06784932, 5.26667897, 1.22039513]), array([1.34809471, 1.76417359, 3.30589501, 3.01203058, 0.64526885,\n", + " 1.00531712, 5.24113985, 1.23210792]), array([1.34809471, 1.76417359, 3.30589501, 3.01203058, 0.64526885,\n", + " 1.00531712, 5.24113985, 1.23210792]), array([1.35449866, 1.76804047, 3.29861147, 3.01107058, 0.64017439,\n", + " 1.02470305, 5.25954155, 1.22193096]), array([1.355698 , 1.77330763, 3.30346932, 2.98329809, 0.63770787,\n", + " 0.99952669, 5.24795407, 1.23059904]), array([1.355698 , 1.77330763, 3.30346932, 2.98329809, 0.63770787,\n", + " 0.99952669, 5.24795407, 1.23059904]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35911098, 1.76260012, 3.28871653, 2.99337258, 0.64335739,\n", + " 1.00914345, 5.23910152, 1.22924374]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.36058284, 1.76401041, 3.29152313, 2.97814773, 0.64184926,\n", + " 0.99229353, 5.23533522, 1.23390624]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117])]\n", + " final_simplex: (array([[1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117],\n", + " [1.36058284, 1.76401041, 3.29152313, 2.97814773, 0.64184926,\n", + " 0.99229353, 5.23533522, 1.23390624],\n", + " [1.3603388 , 1.76052271, 3.29027172, 2.98698902, 0.64357868,\n", + " 0.99399401, 5.24286254, 1.23163622],\n", + " [1.3601921 , 1.76216778, 3.29056253, 2.9859566 , 0.64330781,\n", + " 0.9942982 , 5.2363968 , 1.2323203 ],\n", + " [1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094],\n", + " [1.36031371, 1.76575695, 3.29272697, 2.98548648, 0.64062569,\n", + " 1.00226866, 5.24425924, 1.22898482],\n", + " [1.35914782, 1.76409263, 3.2922739 , 2.9880769 , 0.64198049,\n", + " 1.0003799 , 5.2404261 , 1.23096517],\n", + " [1.35915308, 1.76446521, 3.29237952, 2.98843343, 0.64168687,\n", + " 1.00365306, 5.24096438, 1.23015925],\n", + " [1.35911098, 1.76260012, 3.28871653, 2.99337258, 0.64335739,\n", + " 1.00914345, 5.23910152, 1.22924374]]), array([3.58383659e+09, 3.58507319e+09, 3.58628737e+09, 3.58702336e+09,\n", + " 3.58799898e+09, 3.58946669e+09, 3.59188565e+09, 3.59233001e+09,\n", + " 3.59291499e+09]))\n", + " fun: 3583836585.856857\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 192\n", + " nit: 108\n", + " status: 0\n", + " success: True\n", + " x: array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117])\n", + "Elapsed Time: 209.1165475845337 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4765628636.666237\n", + "0\n", + "4162693026.591804\n", + "0\n", + "4775514619.73652\n", + "0\n", + "4789197432.685968\n", + "0\n", + "4790140433.414469\n", + "0\n", + "4776135945.806399\n", + "0\n", + 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function value: 1991898237.325239\n", + " Iterations: 90\n", + " Function evaluations: 149\n", + " allvecs: [array([1.66516003, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.74841803, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([1.76044125, 2.03905524, 4.74758315, 4.8554546 , 2.14468947,\n", + " 0.77658549, 1.7396754 , 4.27801654]), array([1.76044125, 2.03905524, 4.74758315, 4.8554546 , 2.14468947,\n", + " 0.77658549, 1.7396754 , 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"1542853774.4456882\n", + "Optimization terminated successfully.\n", + " Current function value: 1533444479.341547\n", + " Iterations: 83\n", + " Function evaluations: 145\n", + " allvecs: [array([2.84585156, 0.94247606, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.85861829, 0.99640497, 2.12041473, 0.64586191, 3.50673919,\n", + " 2.53861271, 4.5671645 , 4.60849265]), array([2.85861829, 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array([2.82666132, 1.09816103, 2.1510151 , 0.65691789, 3.36151485,\n", + " 2.35393417, 4.78182803, 4.13048121]), array([2.82666132, 1.09816103, 2.1510151 , 0.65691789, 3.36151485,\n", + " 2.35393417, 4.78182803, 4.13048121]), array([2.82666132, 1.09816103, 2.1510151 , 0.65691789, 3.36151485,\n", + " 2.35393417, 4.78182803, 4.13048121]), array([2.93442139, 1.13105472, 2.15677198, 0.66367558, 3.29646143,\n", + " 2.37571104, 4.77567621, 4.14843331]), array([2.68749677, 1.18379018, 2.17376854, 0.70889345, 3.33109022,\n", + " 2.27464718, 5.04319949, 3.81318498]), array([2.68749677, 1.18379018, 2.17376854, 0.70889345, 3.33109022,\n", + " 2.27464718, 5.04319949, 3.81318498]), array([2.68749677, 1.18379018, 2.17376854, 0.70889345, 3.33109022,\n", + " 2.27464718, 5.04319949, 3.81318498]), array([2.68749677, 1.18379018, 2.17376854, 0.70889345, 3.33109022,\n", + " 2.27464718, 5.04319949, 3.81318498]), array([2.68749677, 1.18379018, 2.17376854, 0.70889345, 3.33109022,\n", + " 2.27464718, 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+ " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.50607389, 1.60283299, 2.17529691, 0.8865831 , 2.65367677,\n", + " 1.1652951 , 6.70721212, 1.80850569]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.26392716, 1.7034183 , 2.16801058, 0.94776778, 2.37811409,\n", + " 1.00250535, 7.19302404, 1.09585101]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373])]\n", + " final_simplex: (array([[2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373],\n", + " [2.21336297, 1.72227239, 2.15208762, 0.96198309, 2.30418182,\n", + " 1.02050932, 7.22965925, 1.06529811],\n", + " [2.20761266, 1.7194166 , 2.14399516, 0.96222568, 2.32274461,\n", + " 0.99772516, 7.2457456 , 1.08722047],\n", + " [2.19776642, 1.72219028, 2.14292604, 0.9628824 , 2.30659439,\n", + " 1.02699566, 7.23215111, 1.07539403],\n", + " [2.20166288, 1.72497502, 2.1504527 , 0.96346913, 2.29788419,\n", + " 1.01770772, 7.24439967, 1.0616519 ],\n", + " [2.19947802, 1.72394233, 2.14211858, 0.96283969, 2.30462357,\n", + " 1.0298646 , 7.23980118, 1.06988123],\n", + " [2.19506649, 1.72391206, 2.14360092, 0.96333437, 2.31173029,\n", + " 1.02468284, 7.23509473, 1.06886068],\n", + " [2.19551172, 1.72366401, 2.1427825 , 0.96405941, 2.30996818,\n", + " 1.02586318, 7.23526034, 1.07013369],\n", + " [2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]]), array([1.53344448e+09, 1.53886493e+09, 1.54175772e+09, 1.54283284e+09,\n", + " 1.54285377e+09, 1.54314691e+09, 1.54318176e+09, 1.54336499e+09,\n", + " 1.54337133e+09]))\n", + " fun: 1533444479.3415465\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 145\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373])\n", + "Elapsed Time: 166.41846346855164 sec\n", + "0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2634975607.475019\n", + "0\n", + "2639980269.4060917\n", + "0\n", + "2651245416.436707\n", + "0\n", + "2748282209.224035\n", + "0\n", + "2651759839.9881787\n", + "0\n", + "2652035000.7222595\n", + "0\n", + "2712434815.250415\n", + "0\n", + "2634975607.475019\n", + "0\n", + "2663146058.3564153\n", + "0\n", + "2911001249.959249\n", + "0\n", + "2687884888.4150147\n", + "0\n", + "2690428389.683675\n", + "0\n", + "2637367868.5804267\n", + "0\n", + "2663385210.285205\n", + "0\n", + "2594220396.137993\n", + "0\n", + "2624740728.076686\n", + "0\n", + "2692167167.5783095\n", + "0\n", + "2646595421.2553463\n", + "0\n", + "2691208858.076777\n", + "0\n", + "2646137818.8537245\n", + "0\n", + "2690409346.615843\n", + "0\n", + "2645564567.041559\n", + 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0.13874615, 4.91545125])]\n", + " final_simplex: (array([[2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125],\n", + " [2.17299073, 3.35209092, 2.15980287, 3.45449102, 3.49080582,\n", + " 1.21942288, 0.1387738 , 4.91615025],\n", + " [2.17255577, 3.35218139, 2.15987534, 3.454609 , 3.49057867,\n", + " 1.21927495, 0.13876695, 4.91663008],\n", + " [2.17224199, 3.35262959, 2.15984321, 3.45504746, 3.49023165,\n", + " 1.21931694, 0.13876355, 4.91631373],\n", + " [2.17282257, 3.35248266, 2.15970348, 3.45525901, 3.49083118,\n", + " 1.21930178, 0.13875198, 4.91597197],\n", + " [2.17246999, 3.35243783, 2.15980324, 3.4545314 , 3.4913774 ,\n", + " 1.21932942, 0.13875445, 4.91640431],\n", + " [2.17311053, 3.35218303, 2.15961548, 3.45446394, 3.49049378,\n", + " 1.21942714, 0.1387275 , 4.91766335],\n", + " [2.17245424, 3.3523503 , 2.15962408, 3.45471911, 3.49081668,\n", + " 1.21938078, 0.13876046, 4.91688956],\n", + " [2.17244068, 3.35182652, 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"5434811820.73828\n", + "0\n", + "5430352959.260921\n", + "0\n", + "5428852092.002342\n", + "Optimization terminated successfully.\n", + " Current function value: 5421147675.080340\n", + " Iterations: 55\n", + " Function evaluations: 100\n", + " allvecs: [array([0.10071541, 1.929236 , 3.9298979 , 1.6532782 , 1.85890644,\n", + " 0.42357044, 1.44054836, 4.04581563]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10578684, 1.92464371, 3.86873311, 1.54020059, 1.87408721,\n", + " 0.44489891, 1.51308574, 3.74949125]), array([0.10578684, 1.92464371, 3.86873311, 1.54020059, 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1.75079867,\n", + " 1.07203684, 4.51848895, 2.24633487]), array([1.89378558, 0.41076802, 3.81615803, 0.61281739, 1.75079867,\n", + " 1.07203684, 4.51848895, 2.24633487]), array([1.89378558, 0.41076802, 3.81615803, 0.61281739, 1.75079867,\n", + " 1.07203684, 4.51848895, 2.24633487]), array([1.89515916, 0.41090025, 3.82353071, 0.6132533 , 1.75538769,\n", + " 1.06522787, 4.51748022, 2.2412423 ]), array([1.89515916, 0.41090025, 3.82353071, 0.6132533 , 1.75538769,\n", + " 1.06522787, 4.51748022, 2.2412423 ]), array([1.90487485, 0.41060316, 3.84320713, 0.61089588, 1.75029809,\n", + " 0.99253559, 4.51028023, 2.26315063]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365])]\n", + " final_simplex: (array([[1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365],\n", + " [1.89891048, 0.41080214, 3.82590504, 0.61409872, 1.75330987,\n", + " 1.0241836 , 4.5202684 , 2.24905598],\n", + " [1.89569099, 0.41091123, 3.82103854, 0.61269381, 1.75231183,\n", + " 1.05011691, 4.5202461 , 2.24760782],\n", + " [1.90487485, 0.41060316, 3.84320713, 0.61089588, 1.75029809,\n", + " 0.99253559, 4.51028023, 2.26315063],\n", + " [1.89816951, 0.41061098, 3.82532054, 0.61153887, 1.75460569,\n", + " 1.03472566, 4.52124806, 2.24839279],\n", + " [1.89701511, 0.4106717 , 3.8261728 , 0.6131116 , 1.7524978 ,\n", + " 1.04366621, 4.52050763, 2.2474931 ],\n", + " [1.89612694, 0.41076841, 3.82805814, 0.61338129, 1.75206486,\n", + " 1.045361 , 4.52116005, 2.24904953],\n", + " [1.89515916, 0.41090025, 3.82353071, 0.6132533 , 1.75538769,\n", + " 1.06522787, 4.51748022, 2.2412423 ],\n", + " [1.89607266, 0.41320317, 3.80985615, 0.61205021, 1.75615841,\n", + " 0.9980645 , 4.537451 , 2.2455881 ]]), array([4.09607012e+09, 4.09961900e+09, 4.09962859e+09, 4.10030343e+09,\n", + " 4.10209047e+09, 4.10368283e+09, 4.10390827e+09, 4.10512817e+09,\n", + " 4.10531437e+09]))\n", + " fun: 4096070115.3299847\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 125\n", + " nit: 60\n", + " status: 0\n", + " success: True\n", + " x: array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365])\n", + "Elapsed Time: 142.32350325584412 sec\n", + "0\n" + ] + }, + { + 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"2059689232.6708705\n", + "0\n", + "1756328093.8278122\n", + "0\n", + "1743260939.392661\n", + "0\n", + "1745589736.1826868\n", + "0\n", + "1740836206.3162544\n", + "0\n", + "1750517988.423879\n", + "0\n", + "1845435222.0381222\n", + "0\n", + "1751126453.5868845\n", + "0\n", + "1794906482.6655114\n", + "0\n", + "1750314287.8805299\n", + "0\n", + "1741762302.7169204\n", + "0\n", + "1743465471.7406862\n", + "Optimization terminated successfully.\n", + " Current function value: 1740836206.316254\n", + " Iterations: 77\n", + " Function evaluations: 125\n", + " allvecs: [array([3.97394328, 2.1821602 , 2.5510035 , 0.11396741, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.94629255, 2.02292004, 2.56015871, 0.11918443, 0.79265404,\n", + " 2.50525767, 0.22221005, 0.37167175]), array([3.94629255, 2.02292004, 2.56015871, 0.11918443, 0.79265404,\n", + " 2.50525767, 0.22221005, 0.37167175]), array([3.94226015, 2.1815442 , 2.56149385, 0.11994524, 0.78825989,\n", + " 2.49774767, 0.21765244, 0.37404432]), array([3.93433937, 2.1813902 , 2.56411644, 0.1214397 , 0.77962853,\n", + " 2.48299589, 0.21894471, 0.35649206]), array([3.78170951, 2.11593357, 2.49985734, 0.12459454, 0.83957208,\n", + " 2.34255318, 0.21829032, 0.37354942]), array([3.66149988, 2.06467399, 2.44978647, 0.12719964, 0.78801501,\n", + " 2.61078515, 0.21789489, 0.37605074]), array([3.66149988, 2.06467399, 2.44978647, 0.12719964, 0.78801501,\n", + " 2.61078515, 0.21789489, 0.37605074]), array([3.77126245, 1.90298146, 2.66539479, 0.13267581, 0.78632538,\n", 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0.78309439,\n", + " 2.37262156, 0.22293201, 0.39427042]), array([3.54708802, 1.84152108, 2.45767935, 0.14093617, 0.78309439,\n", + " 2.37262156, 0.22293201, 0.39427042]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.44613387, 1.67739422, 2.52940606, 0.14992001, 0.77889558,\n", + " 2.26085624, 0.23733868, 0.39409804]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([2.89786765, 1.14206277, 2.51499587, 0.18095241, 0.79982979,\n", + " 1.84170763, 0.26309061, 0.43811907]), array([2.89786765, 1.14206277, 2.51499587, 0.18095241, 0.79982979,\n", + " 1.84170763, 0.26309061, 0.43811907]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422]), array([2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.18914769, 1.13583405, 2.20435733, 0.20247297, 0.8580381 ,\n", + " 1.64997172, 0.27853684, 0.44248502]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686])]\n", + " final_simplex: (array([[2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686],\n", + " [2.18600634, 1.13437432, 2.24438477, 0.20287568, 0.85675424,\n", + " 1.64451439, 0.28222586, 0.44668944],\n", + " [2.18914769, 1.13583405, 2.20435733, 0.20247297, 0.8580381 ,\n", + " 1.64997172, 0.27853684, 0.44248502],\n", + " [2.10228147, 1.12966318, 2.18084332, 0.20562524, 0.86249165,\n", + " 1.62197612, 0.28596038, 0.44966988],\n", + " [2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983],\n", + " [2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422],\n", + " [2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371],\n", + " [2.30426856, 1.14487584, 2.20868478, 0.19994323, 0.85857155,\n", + " 1.68669585, 0.28312996, 0.44173639],\n", + " [2.26383113, 1.11167518, 2.23222692, 0.20259623, 0.85881753,\n", + " 1.63491847, 0.28265065, 0.44714188]]), array([1.74083621e+09, 1.74176230e+09, 1.74326094e+09, 1.74346547e+09,\n", + " 1.74364577e+09, 1.74367540e+09, 1.74585653e+09, 1.74929845e+09,\n", + " 1.75031429e+09]))\n", + " fun: 1740836206.3162544\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 125\n", + " nit: 77\n", + " status: 0\n", + " success: True\n", + " x: array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686])\n", + "Elapsed Time: 142.53524613380432 sec\n" + ] + }, + { + "data": { + "text/plain": [ + "10139" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "#for ws in np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "#wall_init = [40.,60.,1.0]\n", + "NUMINITS = 10\n", + "init_list = []\n", + "x_opt_list = []\n", + "for init_i in range(NUMINITS):\n", + " start_time = time.time()\n", + " heights_init = np.random.uniform(low=0.0, high=5.0, size=8)\n", + " init_list.append(heights_init.copy())\n", + " x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e6, options = {'disp': True, 'return_all': True})\n", + " x_opt_list.append(x_opt)\n", + " print(x_opt) \n", + " elapsed_time = time.time() - start_time\n", + " print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "\n", + "\n", + "#print('Optimal Variables:',x)\n", + "#print('Corresponding Cost:',total_cost_new)\n", + "\n", + "#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w')\n", + "f = open(\"manywalls_runs\\\\\"+output_name, 'w')\n", + "#f.write(str(input_name))\n", + "#f.write(str(total_cost_new))\n", + "#f.write(str(wall_cost))\n", + "f.write(str(heights_init))\n", + "f.write(str(x_opt))\n", + "#f.write(str(ws)+'\\n'+str(we) + '\\n' + str(wh) +'\\n' +str(total_cost_new)+'\\n')\n", + "#f.write(str(wall_cost))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[array([4.28637115, 4.31943204, 4.29443312, 3.18856273, 4.09384736,\n", + " 4.80792644, 1.41758374, 3.70869623]), array([3.84998497, 0.85954594, 1.78152407, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.21674896, 4.51597475, 2.0406221 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([0.8090627 , 1.9230901 , 3.6540503 , 4.17392529, 0.66084263,\n", + " 3.627415 , 4.95350566, 0.95551606]), array([1.66516003, 2.00885619, 4.78923759, 4.98085767, 2.13511118,\n", + " 0.73455397, 1.85373485, 4.48324312]), array([2.84585156, 0.94247606, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([0.10071541, 1.929236 , 3.9298979 , 1.6532782 , 1.85890644,\n", + " 0.42357044, 1.44054836, 4.04581563]), array([1.87494354, 0.25567631, 4.73122113, 0.70487023, 1.58360214,\n", + " 4.94496863, 3.46670124, 2.10081419]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11396741, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271])]\n", + "[ allvecs: [array([4.28637115, 4.31943204, 4.29443312, 3.18856273, 4.09384736,\n", + " 4.80792644, 1.41758374, 3.70869623]), array([4.36674061, 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+ " 1.75038307, 1.83851708, 3.66536744]), array([5.06841455, 3.9860802 , 4.0684836 , 4.22243865, 1.78054557,\n", + " 1.75038307, 1.83851708, 3.66536744]), array([5.06841455, 3.9860802 , 4.0684836 , 4.22243865, 1.78054557,\n", + " 1.75038307, 1.83851708, 3.66536744]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399])]\n", + " final_simplex: (array([[5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399],\n", + " [5.06924183, 3.99592905, 4.03945789, 4.2397369 , 1.7738917 ,\n", + " 1.73610516, 1.84251764, 3.65962171],\n", + " [5.07070445, 3.99599375, 4.04255386, 4.23777116, 1.77890078,\n", + " 1.73250485, 1.8420529 , 3.66171296],\n", + " [5.0656699 , 3.99315648, 4.047423 , 4.23151097, 1.77804561,\n", + " 1.73971974, 1.84155245, 3.66426211],\n", + " [5.06841455, 3.9860802 , 4.0684836 , 4.22243865, 1.78054557,\n", + " 1.75038307, 1.83851708, 3.66536744],\n", + " [5.06368402, 3.99105043, 4.05801609, 4.23285738, 1.82596263,\n", + " 1.73510236, 1.84000813, 3.6701061 ],\n", + " [5.06400987, 3.99738609, 4.05369291, 4.23039003, 1.83443924,\n", + " 1.73486428, 1.83906453, 3.66655104],\n", + " [5.06371805, 3.99797946, 4.05371857, 4.23047995, 1.83864169,\n", + " 1.73476026, 1.83890284, 3.66656636],\n", + " [5.07160767, 3.99540028, 4.04964222, 4.24860769, 1.84346815,\n", + " 1.72816451, 1.84087133, 3.6604832 ]]), array([2.63780504e+09, 2.63873667e+09, 2.63902618e+09, 2.63972517e+09,\n", + " 2.64292824e+09, 2.64497521e+09, 2.64534801e+09, 2.64578415e+09,\n", + " 2.64619063e+09]))\n", + " fun: 2637805044.6712575\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 200\n", + " nit: 107\n", + " status: 0\n", + " success: True\n", + " x: array([5.05337757, 4.03007384, 4.00188373, 4.21760974, 1.80102932,\n", + " 1.74073745, 1.83942225, 3.65583399]), allvecs: [array([3.84998497, 0.85954594, 1.78152407, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 1.87060028, 1.77330749, 4.62462617,\n", + " 4.09024001, 0.46642235, 4.19214078]), array([3.84998497, 0.85954594, 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2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.86331292, 1.3108241 , 2.62639213, 1.91789031, 2.66346503,\n", + " 1.76744441, 0.36918182, 4.41688613]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.815476 , 1.40284258, 2.93686845, 1.96914875, 1.96791966,\n", + " 1.02878478, 0.33341518, 4.30472442]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.83808063, 1.42980789, 2.88071247, 1.99164314, 2.00959528,\n", + " 0.97347252, 0.33802579, 4.2563386 ]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77563143, 1.42869131, 2.8919161 , 1.9949007 , 1.96434058,\n", + " 0.9503897 , 0.34135581, 4.28784864]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.77219036, 1.43836395, 2.91198259, 1.99191267, 1.92486942,\n", + " 0.93659093, 0.33351233, 4.28835304]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916])]\n", + " final_simplex: (array([[2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916],\n", + " [2.75389757, 1.43610957, 2.8934014 , 1.99594032, 1.93025799,\n", + " 0.94392201, 0.33786492, 4.28920283],\n", + " [2.77809725, 1.43514492, 2.8964492 , 1.99331856, 1.90346257,\n", + " 0.94497661, 0.33634851, 4.29204924],\n", + " [2.75702059, 1.43742252, 2.89954685, 1.99653007, 1.89907485,\n", + " 0.93663596, 0.3371603 , 4.29789198],\n", + " [2.76155692, 1.431175 , 2.89479205, 1.9926695 , 1.91522969,\n", + " 0.94425922, 0.33850196, 4.29545733],\n", + " [2.75623234, 1.43542135, 2.90762263, 1.99478594, 1.89447062,\n", + " 0.93851678, 0.33606038, 4.30313764],\n", + " [2.76687364, 1.43476947, 2.90338732, 1.99229109, 1.92004956,\n", + " 0.94042507, 0.33600714, 4.29190519],\n", + " [2.77815877, 1.43305129, 2.8930372 , 1.99472779, 1.93401739,\n", + " 0.94009325, 0.33754928, 4.28653642],\n", + " [2.75727399, 1.43733752, 2.89900868, 1.99628541, 1.90075809,\n", + " 0.93624536, 0.33729714, 4.2978607 ]]), array([2.02459537e+09, 2.02481596e+09, 2.02535129e+09, 2.02634356e+09,\n", + " 2.02637748e+09, 2.02644634e+09, 2.02841346e+09, 2.02898402e+09,\n", + " 2.03118112e+09]))\n", + " fun: 2024595372.3446622\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 147\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.75362649, 1.43567844, 2.90849054, 1.99751224, 1.87590553,\n", + " 0.94419495, 0.3382224 , 4.31378916]), allvecs: [array([3.21674896, 4.51597475, 2.0406221 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 0.58255362]), array([3.21674896, 4.51597475, 2.1426532 , 0.23232841, 2.25833545,\n", + " 3.34952396, 2.63059289, 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array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.12700397, 3.09984886, 2.1890136 , 0.25798286, 2.76022925,\n", + " 0.98001988, 3.60516536, 0.58128712]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07092216, 3.11643086, 2.17889776, 0.25900876, 2.81624946,\n", + " 0.98162264, 3.58434527, 0.59271824]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ])]\n", + " final_simplex: (array([[2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ],\n", + " [2.07161588, 3.14880804, 2.17593025, 0.25820839, 2.80523977,\n", + " 1.00994729, 3.57512909, 0.593302 ],\n", + " [2.07294032, 3.15722875, 2.1754801 , 0.25768495, 2.8037791 ,\n", + " 1.01172059, 3.57690977, 0.59302432],\n", + " [2.07153443, 3.15520401, 2.17496106, 0.25792801, 2.80745639,\n", + " 1.00705488, 3.57488224, 0.59385624],\n", + " [2.0717721 , 3.14612667, 2.17585272, 0.25823111, 2.81039419,\n", + " 1.00502811, 3.57549383, 0.59345737],\n", + " [2.07563904, 3.15485525, 2.17524202, 0.25786916, 2.80817836,\n", + " 1.00539237, 3.57466265, 0.59363395],\n", + " [2.07135502, 3.15468983, 2.17513811, 0.2578542 , 2.80888895,\n", + " 1.00421871, 3.57637768, 0.59383012],\n", + " [2.07170704, 3.14061169, 2.17630241, 0.25833447, 2.81242845,\n", + " 0.99575313, 3.57805972, 0.59366542],\n", + " [2.07494354, 3.14942312, 2.17568549, 0.25797458, 2.80862773,\n", + " 0.99821342, 3.57728459, 0.59349555]]), array([1.85048323e+09, 1.85080901e+09, 1.85148816e+09, 1.85168748e+09,\n", + " 1.85184562e+09, 1.85226732e+09, 1.85240198e+09, 1.85286388e+09,\n", + " 1.85315854e+09]))\n", + " fun: 1850483232.3351443\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 207\n", + " nit: 116\n", + " status: 0\n", + " success: True\n", + " x: array([2.07249193, 3.16479253, 2.17370706, 0.25766017, 2.80860745,\n", + " 1.00988362, 3.57177416, 0.5946126 ]), allvecs: [array([0.8090627 , 1.9230901 , 3.6540503 , 4.17392529, 0.66084263,\n", + " 3.627415 , 4.95350566, 0.95551606]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.81917598, 1.94712873, 3.69972592, 4.22609936, 0.6278005 ,\n", + " 3.67275769, 5.01542448, 0.96746001]), array([0.83375333, 1.86158503, 3.6627929 , 4.15456382, 0.64470878,\n", + " 3.57870704, 5.10467466, 0.98467609]), array([0.83375333, 1.86158503, 3.6627929 , 4.15456382, 0.64470878,\n", + " 3.57870704, 5.10467466, 0.98467609]), array([0.83375333, 1.86158503, 3.6627929 , 4.15456382, 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" 0.99952669, 5.24795407, 1.23059904]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35945945, 1.76629812, 3.29208163, 2.98708419, 0.64097706,\n", + " 1.00589263, 5.23656681, 1.23010169]), array([1.35911098, 1.76260012, 3.28871653, 2.99337258, 0.64335739,\n", + " 1.00914345, 5.23910152, 1.22924374]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094]), array([1.36058284, 1.76401041, 3.29152313, 2.97814773, 0.64184926,\n", + " 0.99229353, 5.23533522, 1.23390624]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117])]\n", + " final_simplex: (array([[1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117],\n", + " [1.36058284, 1.76401041, 3.29152313, 2.97814773, 0.64184926,\n", + " 0.99229353, 5.23533522, 1.23390624],\n", + " [1.3603388 , 1.76052271, 3.29027172, 2.98698902, 0.64357868,\n", + " 0.99399401, 5.24286254, 1.23163622],\n", + " [1.3601921 , 1.76216778, 3.29056253, 2.9859566 , 0.64330781,\n", + " 0.9942982 , 5.2363968 , 1.2323203 ],\n", + " [1.35995829, 1.7642615 , 3.29369972, 2.986546 , 0.64170624,\n", + " 0.99523214, 5.24183647, 1.23091094],\n", + " [1.36031371, 1.76575695, 3.29272697, 2.98548648, 0.64062569,\n", + " 1.00226866, 5.24425924, 1.22898482],\n", + " [1.35914782, 1.76409263, 3.2922739 , 2.9880769 , 0.64198049,\n", + " 1.0003799 , 5.2404261 , 1.23096517],\n", + " [1.35915308, 1.76446521, 3.29237952, 2.98843343, 0.64168687,\n", + " 1.00365306, 5.24096438, 1.23015925],\n", + " [1.35911098, 1.76260012, 3.28871653, 2.99337258, 0.64335739,\n", + " 1.00914345, 5.23910152, 1.22924374]]), array([3.58383659e+09, 3.58507319e+09, 3.58628737e+09, 3.58702336e+09,\n", + " 3.58799898e+09, 3.58946669e+09, 3.59188565e+09, 3.59233001e+09,\n", + " 3.59291499e+09]))\n", + " fun: 3583836585.856857\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 192\n", + " nit: 108\n", + " status: 0\n", + " success: True\n", + " x: array([1.3607342 , 1.7599287 , 3.28753111, 2.99027312, 0.64370921,\n", + " 1.00227767, 5.23939766, 1.23046117]), allvecs: [array([1.66516003, 2.00885619, 4.78923759, 4.98085767, 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2.04424275, 4.09492598, 2.59811067, 1.95552245,\n", + " 0.60434537, 1.79585231, 1.3290895 ],\n", + " [3.77848695, 2.03825073, 4.06039769, 2.61496503, 1.95501532,\n", + " 0.60531573, 1.78496894, 1.31100429]]), array([1.99189824e+09, 1.99531517e+09, 1.99607448e+09, 1.99616267e+09,\n", + " 1.99694305e+09, 1.99720382e+09, 1.99762012e+09, 1.99768973e+09,\n", + " 1.99888352e+09]))\n", + " fun: 1991898237.3252392\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 149\n", + " nit: 90\n", + " status: 0\n", + " success: True\n", + " x: array([3.76864143, 2.02940421, 4.06099945, 2.61180292, 1.95832977,\n", + " 0.60667937, 1.80362025, 1.33178666]), allvecs: [array([2.84585156, 0.94247606, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 4.82957295]), array([2.84585156, 0.98959987, 2.25943684, 0.63629649, 3.53750669,\n", + " 2.60417811, 4.31997363, 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1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.40455291, 1.463345 , 2.16473996, 0.84754138, 2.72715517,\n", + " 1.44101965, 6.38042774, 2.28984979]), array([2.50607389, 1.60283299, 2.17529691, 0.8865831 , 2.65367677,\n", + " 1.1652951 , 6.70721212, 1.80850569]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.37985656, 1.67451264, 2.22529221, 0.93067951, 2.28138436,\n", + " 1.09309687, 6.99239787, 1.38229743]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.3217829 , 1.69667692, 2.11512567, 0.93263833, 2.30647333,\n", + " 1.08113182, 7.23434626, 1.32113836]), array([2.26392716, 1.7034183 , 2.16801058, 0.94776778, 2.37811409,\n", + " 1.00250535, 7.19302404, 1.09585101]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.15257128, 1.73800109, 2.13309513, 0.97163638, 2.26172232,\n", + " 1.07393499, 7.24381896, 1.02188673]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373])]\n", + " final_simplex: (array([[2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373],\n", + " [2.21336297, 1.72227239, 2.15208762, 0.96198309, 2.30418182,\n", + " 1.02050932, 7.22965925, 1.06529811],\n", + " [2.20761266, 1.7194166 , 2.14399516, 0.96222568, 2.32274461,\n", + " 0.99772516, 7.2457456 , 1.08722047],\n", + " [2.19776642, 1.72219028, 2.14292604, 0.9628824 , 2.30659439,\n", + " 1.02699566, 7.23215111, 1.07539403],\n", + " [2.20166288, 1.72497502, 2.1504527 , 0.96346913, 2.29788419,\n", + " 1.01770772, 7.24439967, 1.0616519 ],\n", + " [2.19947802, 1.72394233, 2.14211858, 0.96283969, 2.30462357,\n", + " 1.0298646 , 7.23980118, 1.06988123],\n", + " [2.19506649, 1.72391206, 2.14360092, 0.96333437, 2.31173029,\n", + " 1.02468284, 7.23509473, 1.06886068],\n", + " [2.19551172, 1.72366401, 2.1427825 , 0.96405941, 2.30996818,\n", + " 1.02586318, 7.23526034, 1.07013369],\n", + " [2.20824922, 1.72070969, 2.15055286, 0.95970208, 2.3199182 ,\n", + " 1.03822017, 7.2184215 , 1.05886887]]), array([1.53344448e+09, 1.53886493e+09, 1.54175772e+09, 1.54283284e+09,\n", + " 1.54285377e+09, 1.54314691e+09, 1.54318176e+09, 1.54336499e+09,\n", + " 1.54337133e+09]))\n", + " fun: 1533444479.3415465\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 145\n", + " nit: 83\n", + " status: 0\n", + " success: True\n", + " x: array([2.1743518 , 1.73184904, 2.13916915, 0.9715252 , 2.29423083,\n", + " 1.00976079, 7.26758491, 1.01459373]), allvecs: [array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.23152659, 3.30606538, 2.16685169, 3.41059752, 3.46651086,\n", + " 1.23984759, 0.13376671, 4.97765672]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.25312816, 3.33806868, 2.1416705 , 3.4436127 , 3.5000673 ,\n", + " 1.23223475, 0.1350616 , 5.02584131]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17388022, 3.35179644, 2.15894125, 3.4537325 , 3.48895865,\n", + " 1.21990175, 0.13867158, 4.92429963]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125])]\n", + " final_simplex: (array([[2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125],\n", + " [2.17299073, 3.35209092, 2.15980287, 3.45449102, 3.49080582,\n", + " 1.21942288, 0.1387738 , 4.91615025],\n", + " [2.17255577, 3.35218139, 2.15987534, 3.454609 , 3.49057867,\n", + " 1.21927495, 0.13876695, 4.91663008],\n", + " [2.17224199, 3.35262959, 2.15984321, 3.45504746, 3.49023165,\n", + " 1.21931694, 0.13876355, 4.91631373],\n", + " [2.17282257, 3.35248266, 2.15970348, 3.45525901, 3.49083118,\n", + " 1.21930178, 0.13875198, 4.91597197],\n", + " [2.17246999, 3.35243783, 2.15980324, 3.4545314 , 3.4913774 ,\n", + " 1.21932942, 0.13875445, 4.91640431],\n", + " [2.17311053, 3.35218303, 2.15961548, 3.45446394, 3.49049378,\n", + " 1.21942714, 0.1387275 , 4.91766335],\n", + " [2.17245424, 3.3523503 , 2.15962408, 3.45471911, 3.49081668,\n", + " 1.21938078, 0.13876046, 4.91688956],\n", + " [2.17244068, 3.35182652, 2.15972242, 3.45473494, 3.4910336 ,\n", + " 1.21933372, 0.13875139, 4.91741198]]), array([2.56463772e+09, 2.56467792e+09, 2.56472123e+09, 2.56477390e+09,\n", + " 2.56478582e+09, 2.56482151e+09, 2.56485511e+09, 2.56487693e+09,\n", + " 2.56488065e+09]))\n", + " fun: 2564637718.6232595\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 132\n", + " nit: 53\n", + " status: 0\n", + " success: True\n", + " x: array([2.17285396, 3.3523119 , 2.15984023, 3.45470776, 3.49100549,\n", + " 1.21926894, 0.13874615, 4.91545125]), allvecs: [array([0.10071541, 1.929236 , 3.9298979 , 1.6532782 , 1.85890644,\n", + " 0.42357044, 1.44054836, 4.04581563]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10260383, 1.96540918, 4.00358348, 1.68427717, 1.89376094,\n", + " 0.43151239, 1.46755864, 3.64123407]), array([0.10578684, 1.92464371, 3.86873311, 1.54020059, 1.87408721,\n", + " 0.44489891, 1.51308574, 3.74949125]), array([0.10578684, 1.92464371, 3.86873311, 1.54020059, 1.87408721,\n", + " 0.44489891, 1.51308574, 3.74949125]), array([0.10943192, 1.92134299, 3.82477091, 1.66558584, 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3.49214835, 1.47639225, 1.91607855,\n", + " 0.48474681, 1.53757618, 2.62935443]), array([0.11980124, 1.89601037, 3.49214835, 1.47639225, 1.91607855,\n", + " 0.48474681, 1.53757618, 2.62935443]), array([0.12077935, 1.79627432, 3.62900506, 1.48552125, 2.10227264,\n", + " 0.51345934, 1.56715217, 1.50464744]), array([0.12077935, 1.79627432, 3.62900506, 1.48552125, 2.10227264,\n", + " 0.51345934, 1.56715217, 1.50464744]), array([0.12077935, 1.79627432, 3.62900506, 1.48552125, 2.10227264,\n", + " 0.51345934, 1.56715217, 1.50464744]), array([0.12485337, 1.89602787, 3.42130495, 1.44638761, 2.09225179,\n", + " 0.49582473, 1.5886641 , 1.4356681 ]), array([0.13060521, 1.83781587, 3.14911633, 1.46328919, 1.95318167,\n", + " 0.56815242, 1.6008187 , 0.63166833]), array([0.12710446, 1.85890709, 3.3201293 , 1.29153559, 2.09162569,\n", + " 0.54159386, 1.63813598, 1.03496998]), array([0.12710446, 1.85890709, 3.3201293 , 1.29153559, 2.09162569,\n", + " 0.54159386, 1.63813598, 1.03496998]), 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1.63813598, 1.03496998]), array([0.13393291, 1.79844293, 3.28305343, 1.34064027, 2.07042745,\n", + " 0.54977504, 1.61233845, 0.72610615]), array([0.13393291, 1.79844293, 3.28305343, 1.34064027, 2.07042745,\n", + " 0.54977504, 1.61233845, 0.72610615]), array([0.13393291, 1.79844293, 3.28305343, 1.34064027, 2.07042745,\n", + " 0.54977504, 1.61233845, 0.72610615]), array([0.12994747, 1.83609614, 3.24310679, 1.41983119, 2.01327495,\n", + " 0.5522308 , 1.59383382, 0.83799509]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106]), array([0.13185356, 1.87764544, 3.19306461, 1.33377182, 2.02343848,\n", + " 0.55299283, 1.5791351 , 0.87017609]), array([0.13185356, 1.87764544, 3.19306461, 1.33377182, 2.02343848,\n", + " 0.55299283, 1.5791351 , 0.87017609]), array([0.13185356, 1.87764544, 3.19306461, 1.33377182, 2.02343848,\n", + " 0.55299283, 1.5791351 , 0.87017609])]\n", + " final_simplex: (array([[0.13185356, 1.87764544, 3.19306461, 1.33377182, 2.02343848,\n", + " 0.55299283, 1.5791351 , 0.87017609],\n", + " [0.13364551, 1.87105751, 3.18896834, 1.32299627, 2.03943057,\n", + " 0.54860175, 1.58252181, 0.83036106],\n", + " [0.13259085, 1.86617368, 3.22582082, 1.32581551, 2.01774117,\n", + " 0.55192015, 1.59974039, 0.82780405],\n", + " [0.13299487, 1.84799876, 3.22188811, 1.33916213, 2.035553 ,\n", + " 0.55194224, 1.57169692, 0.82437647],\n", + " [0.13264979, 1.85429642, 3.22410043, 1.33670016, 2.04632115,\n", + " 0.54868474, 1.58967326, 0.84858156],\n", + " [0.13179649, 1.85357682, 3.21603757, 1.37141373, 2.02635276,\n", + " 0.55041627, 1.58817781, 0.83417807],\n", + " [0.1312324 , 1.87946243, 3.23441476, 1.34598821, 2.02508474,\n", + " 0.54542967, 1.58744137, 0.93238089],\n", + " [0.13162692, 1.85929928, 3.23801501, 1.32255169, 2.05841428,\n", + " 0.54676649, 1.59956799, 0.88673807],\n", + " [0.13122793, 1.86602728, 3.22356465, 1.35930944, 2.02627779,\n", + " 0.54427592, 1.58615169, 0.90788444]]), array([5.42114768e+09, 5.42134232e+09, 5.42215379e+09, 5.42217571e+09,\n", + " 5.42661996e+09, 5.42759232e+09, 5.42885209e+09, 5.42896385e+09,\n", + " 5.43035296e+09]))\n", + " fun: 5421147675.08034\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 100\n", + " nit: 55\n", + " status: 0\n", + " success: True\n", + " x: array([0.13185356, 1.87764544, 3.19306461, 1.33377182, 2.02343848,\n", + " 0.55299283, 1.5791351 , 0.87017609]), allvecs: [array([1.87494354, 0.25567631, 4.73122113, 0.70487023, 1.58360214,\n", + " 4.94496863, 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+ " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365])]\n", + " final_simplex: (array([[1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365],\n", + " [1.89891048, 0.41080214, 3.82590504, 0.61409872, 1.75330987,\n", + " 1.0241836 , 4.5202684 , 2.24905598],\n", + " [1.89569099, 0.41091123, 3.82103854, 0.61269381, 1.75231183,\n", + " 1.05011691, 4.5202461 , 2.24760782],\n", + " [1.90487485, 0.41060316, 3.84320713, 0.61089588, 1.75029809,\n", + " 0.99253559, 4.51028023, 2.26315063],\n", + " [1.89816951, 0.41061098, 3.82532054, 0.61153887, 1.75460569,\n", + " 1.03472566, 4.52124806, 2.24839279],\n", + " [1.89701511, 0.4106717 , 3.8261728 , 0.6131116 , 1.7524978 ,\n", + " 1.04366621, 4.52050763, 2.2474931 ],\n", + " [1.89612694, 0.41076841, 3.82805814, 0.61338129, 1.75206486,\n", + " 1.045361 , 4.52116005, 2.24904953],\n", + " [1.89515916, 0.41090025, 3.82353071, 0.6132533 , 1.75538769,\n", + " 1.06522787, 4.51748022, 2.2412423 ],\n", + " [1.89607266, 0.41320317, 3.80985615, 0.61205021, 1.75615841,\n", + " 0.9980645 , 4.537451 , 2.2455881 ]]), array([4.09607012e+09, 4.09961900e+09, 4.09962859e+09, 4.10030343e+09,\n", + " 4.10209047e+09, 4.10368283e+09, 4.10390827e+09, 4.10512817e+09,\n", + " 4.10531437e+09]))\n", + " fun: 4096070115.3299847\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 125\n", + " nit: 60\n", + " status: 0\n", + " success: True\n", + " x: array([1.89444252, 0.41087562, 3.8253018 , 0.61223191, 1.75627752,\n", + " 1.02181145, 4.52763048, 2.24707365]), allvecs: [array([3.97394328, 2.1821602 , 2.5510035 , 0.11396741, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.97394328, 2.1821602 , 2.5510035 , 0.11966578, 0.82278533,\n", + " 2.55675481, 0.21248334, 0.35540271]), array([3.94629255, 2.02292004, 2.56015871, 0.11918443, 0.79265404,\n", + " 2.50525767, 0.22221005, 0.37167175]), array([3.94629255, 2.02292004, 2.56015871, 0.11918443, 0.79265404,\n", + " 2.50525767, 0.22221005, 0.37167175]), array([3.94226015, 2.1815442 , 2.56149385, 0.11994524, 0.78825989,\n", + " 2.49774767, 0.21765244, 0.37404432]), array([3.93433937, 2.1813902 , 2.56411644, 0.1214397 , 0.77962853,\n", + " 2.48299589, 0.21894471, 0.35649206]), array([3.78170951, 2.11593357, 2.49985734, 0.12459454, 0.83957208,\n", + " 2.34255318, 0.21829032, 0.37354942]), array([3.66149988, 2.06467399, 2.44978647, 0.12719964, 0.78801501,\n", + " 2.61078515, 0.21789489, 0.37605074]), array([3.66149988, 2.06467399, 2.44978647, 0.12719964, 0.78801501,\n", + " 2.61078515, 0.21789489, 0.37605074]), array([3.77126245, 1.90298146, 2.66539479, 0.13267581, 0.78632538,\n", + " 2.43376843, 0.21426246, 0.37831011]), array([3.77126245, 1.90298146, 2.66539479, 0.13267581, 0.78632538,\n", + " 2.43376843, 0.21426246, 0.37831011]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.6489159 , 1.83668063, 2.48478847, 0.13691262, 0.78554307,\n", + " 2.38882269, 0.23887478, 0.3810478 ]), array([3.54708802, 1.84152108, 2.45767935, 0.14093617, 0.78309439,\n", + " 2.37262156, 0.22293201, 0.39427042]), array([3.54708802, 1.84152108, 2.45767935, 0.14093617, 0.78309439,\n", + " 2.37262156, 0.22293201, 0.39427042]), array([3.54708802, 1.84152108, 2.45767935, 0.14093617, 0.78309439,\n", + " 2.37262156, 0.22293201, 0.39427042]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.5212991 , 1.52666749, 2.61686445, 0.15915097, 0.81614317,\n", + " 2.03964525, 0.23639273, 0.39100464]), array([3.44613387, 1.67739422, 2.52940606, 0.14992001, 0.77889558,\n", + " 2.26085624, 0.23733868, 0.39409804]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07600373, 1.32819447, 2.55288566, 0.16960297, 0.81185475,\n", + " 1.93719461, 0.25727269, 0.41898861]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([3.07978423, 1.19499733, 2.47208658, 0.17797623, 0.82385156,\n", + " 1.86092507, 0.25976619, 0.41433207]), array([2.89786765, 1.14206277, 2.51499587, 0.18095241, 0.79982979,\n", + " 1.84170763, 0.26309061, 0.43811907]), array([2.89786765, 1.14206277, 2.51499587, 0.18095241, 0.79982979,\n", + " 1.84170763, 0.26309061, 0.43811907]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.98850822, 1.06247594, 2.58149029, 0.1859361 , 0.8264571 ,\n", + " 1.70199617, 0.26077165, 0.43304771]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.45780537, 1.10271294, 2.29920017, 0.19768305, 0.84834952,\n", + " 1.67764329, 0.27845474, 0.4362755 ]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.27162698, 1.09625588, 2.20354647, 0.20407251, 0.86499176,\n", + " 1.64038546, 0.2904548 , 0.45292576]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371]), array([2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422]), array([2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983]), array([2.18914769, 1.13583405, 2.20435733, 0.20247297, 0.8580381 ,\n", + " 1.64997172, 0.27853684, 0.44248502]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686]), array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686])]\n", + " final_simplex: (array([[2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686],\n", + " [2.18600634, 1.13437432, 2.24438477, 0.20287568, 0.85675424,\n", + " 1.64451439, 0.28222586, 0.44668944],\n", + " [2.18914769, 1.13583405, 2.20435733, 0.20247297, 0.8580381 ,\n", + " 1.64997172, 0.27853684, 0.44248502],\n", + " [2.10228147, 1.12966318, 2.18084332, 0.20562524, 0.86249165,\n", + " 1.62197612, 0.28596038, 0.44966988],\n", + " [2.10323096, 1.12088161, 2.15392453, 0.2067201 , 0.86989077,\n", + " 1.62053312, 0.28852674, 0.45676983],\n", + " [2.20341639, 1.12734037, 2.1660934 , 0.20498485, 0.87076509,\n", + " 1.63394902, 0.28763159, 0.44355422],\n", + " [2.08122371, 1.09246415, 2.21969363, 0.206255 , 0.85128005,\n", + " 1.61095456, 0.28606578, 0.45598371],\n", + " [2.30426856, 1.14487584, 2.20868478, 0.19994323, 0.85857155,\n", + " 1.68669585, 0.28312996, 0.44173639],\n", + " [2.26383113, 1.11167518, 2.23222692, 0.20259623, 0.85881753,\n", + " 1.63491847, 0.28265065, 0.44714188]]), array([1.74083621e+09, 1.74176230e+09, 1.74326094e+09, 1.74346547e+09,\n", + " 1.74364577e+09, 1.74367540e+09, 1.74585653e+09, 1.74929845e+09,\n", + " 1.75031429e+09]))\n", + " fun: 1740836206.3162544\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 125\n", + " nit: 77\n", + " status: 0\n", + " success: True\n", + " x: array([2.20877675, 1.12037522, 2.23026385, 0.20358972, 0.85130794,\n", + " 1.59626825, 0.28393031, 0.45361686])]\n" + ] + } + ], + "source": [ + "print(init_list)\n", + "print(x_opt_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "3352665919.4220233\n", + "0\n", + "3303139759.2647905\n", + "0\n", + "3303139759.2647905\n", + "0\n", + "3303139759.2647905\n", + "0\n", + "3303139759.2647905\n", + "0\n", + "3303139759.2647905\n", + "0\n", + "3266774718.35977\n", + "0\n", + "3266774718.35977\n", + "0\n", 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JygMN0Q6lUwoKrjtuW1XVMlatvoLKqiVkZ53R80HFEem5IkT3xUyNHMDhstBY4452GN3mco3DaHRQWSGz/IXCOmiQ9FwRohtiLJFbaajxRDuMbjMYLKSlnUhF5efSGyME1sGDpeeKEN0QY4ncQkN1/NfIATLSZ9LcXExT0+5ohxLzpOeKEN0TU4k8KdVKY52HgD8Q7VC6LT09uNhwRUWbc4uJFtbDDzx3yFB9IboiphK5w2UFDY213miH0m1JSf2w2wupqJR28o5YWrog1rz1X6pfe43a999HB+L/w1yInhIzvVYg2LQC0FjrJjnN2sHesS89/SQOHnyNQMB9XD9z8TVTWhqWfv2o/e9/qf3vfwHo95/nSRo/PsqRCREfYqtGnhpMdonUTh4INLF7zyOUlLxJhfRiadOAN15n8KefUPjUUwB4D0h7uRChirEaeUsiT4CeKwBpaVMxGpPZtev+I9tOnPoxSUmytNk3Gez24MvpBMBXVhbliISIHzGVyO1OM0olTo3cZEpm+rQFeL3VNDbtYc2aG6itXSuJvB2G5GSU3Y6vtDTaoQgRN2KqacVgNGB3JsagoMPM5jSSkgaQnjYDg8FKXd2GaIcU05RSmLKz8JVLjVyIUMVUIodgO3miNK0czWAwkZw8jNq6Xr24UkjMWdl4pWlFiJDFXiJ3WWhIoBr50ZzOUdTVbUBr6VrXHlNODr6y8miHIUTciLlEnpRqTZg28m9yOkfi99fT1LQ32qHENFN2Nr6yMhmyL0SIYi6RO1xWmuq9+BNgdOc3OZ0jAaSdvAOm7Gx0czOBOpkGWIhQxGAit4CGptrEaydPdgxBKTN10k7eLlN2FoD0XBEiRDGYyA8PCkq8RG4wWEhOHiI18g6Ys7MB5IGnECGKvUR+eHRnAj/wrK1bL+2/7TDl5ADIA08hQhRziTzp8HwrCZzIfb4ampv3RzuUmGXKamlakRq5ECGJuURud1qCozsTsC85QIpzFCAPPNtjsNsxpKRIIhciRDGXyA0GRVJK4iww8U0Ox1CUMlJXty7aocQ0U3YWvjJ52ClEKGJqrpXDgqM7EzORG41WHI4i9u57ggMHX+328QwGK6NPeAinc3gYoosd5mwZ3SlEqGIykSe5rNRVNkc7jIgZNPAOyg99HJZjlZa+zZ49DzFq1N/DcrxYYcrOwb1sWbTDECIuxGQid7gslO6qiXYYEZOZeSqZmaeG5VgmUzL79j1Jc/NPsNnywnLMWGDKzsZXXo4OBFCGmGsBFCKmxORviCPVSlOdF78v8UZ3hltB/rUA7Ct+OsqRhJcpOxt8PvxVVdEORYiYF6M18mBf8qVv7MBsNXa4f+5AF4UjMyIdVkyy2fLIzjqT/ftfZED/H2IyJUc7pLA4MrqzrAxTRu+8t0KEKiYTeVahE6PZwFcf7wu5zMSz+jP5nAEog4pgZLGpoPB6Ssve5sDBVygs+E60wwkLc8ugIG9pKbbhifUgV4hwi9lE/r0HTglpX783wGcvbGHFu7up2F/PkMm5QLCdvc/g1AhGGTtcKWNwuSawffs97Nx5f8cFOsFotJGaOoXMjFNITh4K9MAHpTJAWoCAWUtfciFCoCIxVHzixIl6xYoVYT9uW7TWrP20mMWvbuPoy7niN1NIy3X0WBzRVFe/mZKD89CE9356vZVUVi7C4zkU1uOGTBNM7AQf7JrNaZjN6ZjNLsymVAxGG6obHy7JycPIz78qTMEK0XVKqZVa64ldKRs7NXKfBza+AWkDoGBSp4oqpRhzWgGDJ2TT3ODF6/Yz795VbFp8kGkXDY5QwLHFmTwMZ9HPI3JsrQPU1W/E3XwgIsdv7XxeXw0H/3EP5iH9SD7lZNAan78er7cKr6cSj+cQDQ07CASaunUuf6CJfCSRi/gWciJXShmBFcB+rfU5YY/EYIR37oCRF3Q6kR/mSLUemXSr/wkZbF56kCkXDMRojMnOOXFDKUNwaoGW6QV6invLS5ircyi4/sc9el4h4k1nauS3ApuAlIhEYjBCvxNhz+KwHG749Dx2rTnEnnUVDBybFZZjip5lzs6mecMGyu69t8197OMn4JwVnj75QsSrkBK5UiofOBu4G4hc9ajfdNj6PtSVgDO3e4camU6Sy8KmJQclkceppMmTaFi6lMpnn2v1fR0IwONPkP+vf+KcNauHoxMidoRaI78fuBNwtrWDUupG4EaAwsLCrkXTf3rw657FMOqirh2jhcFoYNjUPqz+aC8NNe4jfdNF/Mi44QYybrihzfcDTU3sufoa9t9+B/2eexb7yJE9GJ0QsaPDRK6UOgco01qvVEqd0tZ+WutHgEcg2GulS9HkjgFLMuxZ0u1EDjB8Wh9WfbCHz1/cSla/Nj+D6D86k4y8xBhI05sY7Hby//0vdn/7Moq/fzMZ370BUBgz0kk56yyU6n1jCkTvFEqNfDpwnlLqLMAGpCilntNah/9Rv9EEBVNgd3jayVNzkuh3QgY7VpezY3Xbq82U7qrlrO+PDss5Rc8yZ2dT8NBD7L32Wkr/cM+R7ZaCAuyj5Z6K3qHDRK61/hnwM4CWGvkdEUnih/WfDp/8FhoqwNH9odln3zy63TlbPnhkPTXl3evCJqLLNnQIgxd+hm5sJNDQwI45Z1L77nuSyEWvEXv98vrNCH4NU+8VpRQms7HNlys7idryJllDM84ZLBaMqamY+/bFMWMGte+/H3wYKkQv0KlErrVeEJE+5EfLGwcme7CdvAe4suz4vAEaaxNzabneKOWsM/GVlNC0enW0QxGiR8RejdxkCQ4I2rOoR06XkmUHkOaVBJJ86iyU1Urtu+9FOxQhekTsDNE/Wr8ZsOAeeOOW0OZoGnQajLqwS6dyZQYTeW15E3m9ZJKtRGdMdpB88snUfvABOT//GcrY8VTIQsSz2Ezkw8+FtS/Czvkd7+uug01vw7CzwdT5vuLODBtKSY080aScdSZ1H35I45df4pg6NdrhCBFRsZnIc0bAj0Js39z2MTx/EWz7CIZ3vvneaDKQnGaj9pAk8kSSfPLJqKQkSu++G8vg8E6cZrDZsRQWYC4oxOg8fvyBuaAA68CBYT2nEO2JzUTeGQNPAUcWrHu5S4kcgu3kUiNPLAa7nYwbrqf2nXdxb9ka1mMH6uupeb2dedKVIvXbl5J1662Y0tLCem4hWhP/idxoCo4CXfEkNFWDvfPt3K4sO7vWtD1gSMSnrFtuIeuWWyJy7EBTE559+9DNzce+oTW1775L5XPPU/fe+9ha+rIbU1LIvv3HmPMSZ4FsETviP5EDjL4Ulj0Em96C8dd0unhKpo2mOi+eZh8WW2L8l4jIMtjt2IYMafU9+5gxuC66iPJ//ANfWbCC0LRyJY3Ll1Pw8EPYRozoyVBFL5AYWStvPKQPgrUvdymRu7KSAKg91ERmfttzsggRKtuQIRT8859Hvm/eupV9N32P3VddTdbN38fgCMPKVSYTztmzpflGJEgiVwpGfzvYZXHbR2BNgaQMyAztIZfrqL7kkshFJNiGDKH/iy9SfPPNlN3717Adt+zev5J18/dJu/xylMUStuOK+JIYiRxg9CXw2R/h+YuD3ysj3PwFZA3tsKgMChI9wZyTTf9XXsZfWRmW43lLSim/7z5K7/kj5Q/8E2Wztbmv0enEPmE8SRMmYsoOzs+vzGZsI0ZgTJaZP+Nd4iTy9IFw42fQUA5+L7x6PXz2J7j4iQ6LWu0mrA4TtZLIRYQpgwFTZmZYjmXKzKTg8cdoWLiQuvnzaW/dbV9ZGXUffUzNq68d+4bBgG34cGwjhmNIScHodKLM5mCsFitJkydjHVIkUwLHuMRJ5AB9jprtbspNsOhvcNL/QfbwDou6MqULoog/SimSTz6Z5JNP7nBfHQjg2bkTf20tAIGGBppWf0Xjl19St2ABgdo6tNt9XDlTbi62YcOCTZhtMRhQRiPKZMLgSsGUlo4hxYkyhGcWEGWxYnAkYbDbgx80JlPLiN2uf8AYXSnYhnecG+JBYiXyo037ISx/FBb8ES59usPdXVl2SnfX9kBgQkSHMhiwfmNwVPLMmcd8H/B4wOcDwF9TQ8PixdR/thDP/uL2Dx7QaJ8X7fUSqK7BX1MT1tgjIenEqfR78slohxEWiZvIk9KDtfLP74XSDZDT/jJgKVl2tq8qx+8PYDTG3lxiQvQEg8UCLQ9NDUlJpF58MakXX9zp42ifj0BDQ3iC0pqAxxOcb76xEe3zob1etN/frcMaUyKzjnw0JG4iBzjxFlj+CDw4HZQBjGb49vNQNPu4XVMy7eiApr6y+Uh3RCFE1yiTCaPLFbbjybRn7UvsRJ6UDpc89fXc5mteCD4AbSWRp2YHe648/6ulbT7YMduMXPzTiaRmS6IXQsSOxE7kAINPC74AkrPhvTth7zIonHLMbrkDXZw4dxCeJl+rh2lu9LFh4X7K99ZJIhdCxJTET+RHG3cVzP8DLPkHFD5/zFsGo4HxZ/Rrs6inOZjI6yqa29xHCCGioXc91bM4YNJ3YfM7cGh754raTNgcZmolkQshYkzvqpFDsCfLkgeCvVmm39r2fo5scGQcs8mZYaOuQvqaCyFiS+9L5MnZMPZyWPlU8OFnW+zpcNs6sH49fDklw0blwTB1qRJCiDCJqUS+triaITlObOYIdzY6/XcwaBboQOvv1x6ED34Ga1+CSTcc2ezMsLF7fQVaaxmyLISIGTGTyKsbPVz56DIGZifzyNUTyElpewKgbrOlwIjz235f6+CaocsfhYnXHxma7Myw4/cGaKrzkpQiM80JIWJDzDzsTE2y8JdLxrCttI5zH1jEqr1V+AM6pJfW7cwW1BVKweSboHwT7Fp4ZHNKRvDDpVbayYUQMSRmauQAc0bl0j9zGv/zzAou/PeSkMsNyUnmN+eOZNrg8MwqBwSXj/vol8GRoQODExI5WxJ5XUUzuQPCN2pNCCG6I6YSOcCw3BTevGUGr6zYh9vXRhv2UfwBzbzVxVzx2DLOHt2HSf2OXy1l0oB0RuZ1MvGabTD+Wlh8P1TvhdTCYxK5EELEChX2Zglg4sSJesWKFWE/bluavX4e+mwHDy7Y0WrytxgN/Pni0Vwwrm/nDlxTDPePDs7TYgh+5j124GGK7Es5OS1Ms6YZzcHZGQfNCs/xhBBxSSm1Ums9sStlY65G3hU2s5HbZg/heycPoslz7IxojV4/P37pK2576Sv2VDRy7pg+x5Xvl+HAaGilF4orH+Y+DCVrj2xK+RRqreNhcjj+6zQs+WdwygBJ5EKILkqIRH6YzWw8rutiGvDMDZP52Wvr+NvHW/nbx1uPKze5fzrPfXcKFlMrz35HXxJ8tXDuWkfVwQb41iXH79sVa18J1vyFEKKLEiqRt8VqMvLXS8dw3tg8apq8x7y3r7KRez/cyq/fWs8f5p7QYf9wZ4aNveHsS+7Kh1pJ5EKIrusViRyCS2KdMjS71fcaPX7+vWAHI/JcXD217YmzINgF0RfOvuSuvlC6sfvHEUL0Wr0mkbfn9m8NZdPBWn7z1gYenH/sZFpKKa45sR83nTwICA4KgmDPlfAk8gLY+mFwEJKMFhVCdIEkcsBoUPz98nE88Mk2qhuPbXrZU9nIPe9tJi/Vzrlj8o4ZFJQzIAxLRaX0BV8TNFUFF8IQQohOkkTeIsVm5hdnjzhuu8cX4MrHlnLHK2von+FgaIYDCGNfcldLl8iafZLIhRBdEjND9GOVxWTgwasmkJls5fqnv+R/563FZ1IsXVcanhO48oNfa/aH53hCiF6nw0SulLIppZYrpdYopTYope7qicBiSWaylUevmUjfVDtbSuuoMQTYsbuGdcU13T94Sksir5VELoTomlCaVtzALK11vVLKDCxSSr2ntV4a4dhiyoi8FN64ZToA//33GnauPcR7961mU6bjyD7KoEjJsOHKsmNPsYT07NKgoEi5sNbsi1ToQogE12Ei18Ex/PUt35pbXuEf1x9Hxpycz95DDewua6CvRZFqNwPg9wUo21vHjtXl6EDo/0Xe7LmMk6YVIUQXhfSwUyllBFYCg4F/aa2XtbLPjcCNAIWFheGMMeYUjszgusGTOenP8ylP9fPcd4+dHsHvD+Bt8rdR+lgv/HYZlYFBUPNOJJnXa6QAAB8ISURBVEIVQvQCISVyrbUfGKuUSgVeV0qN0lqv/8Y+jwCPQHDSrM4GogMB9m/dhD05hYz8gs4W73EOq4nvnTyIu9/dxO/f3khKS638sAn90pgewrS66XkOKg/kSRu5EKLLOtX9UGtdrZRaAMwB1newe6f4fF7m/eHXDJ95Cqf/zw/CeeiIuWpqP55ftofHFu067j2jQfHsDZOZNqj9ZJ7ex8HGbS50zUFUwA+GCC9zJ4RIOB0mcqVUFuBtSeJ2YDbwp3AHYrZYGTh+EtuWf8FpN3wfQxwkNLvFyPw7TuGbzeH1bh8X/nsxtzy/ird+MIOC9KQ2j5Ge58DnN1LnSyelruTrfuVCCBGiUPqR9wHmK6XWAl8CH2mt345EMEOmTqeptob9mzZE4vARoZTCaDj25bKbefSaifj8mpueXcmWkjoOVDdR3eihpsl7zMuSbgWg0ldIffme494/+tXo8YV/WTshRNwLpdfKWmBcD8TCgLETMVmsbF22mIKRo3vilBEzMCuZv18+lhueXsEZ9y9scz9rAH6EnUpfAfc+8S5vB6raPa7dbCTTaSHJfPytc9pMTOyfzpQB6R0uXp3rspHukAWkhUgEMTVE32yzMWDcBLYtW8Ks625CGeJ74OmsYTm888OZ7Civp8Hto8HTek8W92t7qPQVcPU4I+P6HT9NwGEeX4CKejeH6t00e49fCamsrpnHF+3koc92hBRfhsPC4OxkCtOTKEhPIs1hIdLTdhmUQilaPY/JaMBqMmAxGTC0dMJ3WI0UZTvJTLaEZ9pgIRJQzCRyb8DLi5tfJG1oDg3LlrB/6ybyh42MdljdNiIvhRF57U+u9daqGiq39Wd2+lamzBjQrfM1efx8ta/6uHnXj6a1Zn91E9tK69leXs9nW8spq3N367yRlppkxmnr/I+rw2KiID2J/DT7kUVHbCYjQ3KSGdYnhSynFUXw4fQ3FyURIl7ETCI3KRMPrXmI0/vMItVsZtvSxQmRyEOR3sfBhk190dWfdrtGbLcYOXFQRqfLNXv91Da3nfzDQgdHkgVaaefXOriQdrPXf8y6q1WNHraX1bO9rP64ZfxCOB01TV72VDSwZPshvP7geb2BAK09ahiW6+TkoVmML0zDbGz7TliMRrJTrGQ7rbjsZvlLQURdzCRypRTDM4azuX4bl42ZwNZlixly4syQymYWFGJNcnS8Y4xKz3Pg0xZqy+txRSmG1pbJixUzi7LCerxmr5+tpXVsOlh75C+XJk+ApTsreGLRLh727wz5WMP7pHDNif04f2weSZaY+XUSvUxM/eSNSB/Bc5ueY/DUG9mxYikv/ur/Qirnys7hmj8/gMXedje/WJbeJ/ghVFlhiFoi701sZiOj81MZnZ96zPZbKaLe7WNneX2rNfbDmrx+yuvc7K9u4o3V+/nZvHX85q0NJFmO/SBUSjFlQDrXTevP5AHpUnMXERNTiXxY+jC8AS+m4X249Nf34Pd2/Kd+fVUlHz70D+Y//RhnfO9HPRBl+B1J5A2pDPjzoNAKnXgzzLw9glH1TslW03EJvj03nTSQFXuqeH99CV7/sQ+gm71+PthQynvrSxiY6cCVdOzoX6NSnD82jyun9MNgkCQvui6mEvnwjOEAbKrazNwRc0MuV3WgmOVvvsrgSVMYNGFKpMKLGIvdRLLLRKVzFoxI67jAvmXwxb9g2o/AaO54fxExSikm9U9nUv/WFwW56zw/b3y1nw83lOD7xsixygYPv3xzA/NW7+fX544kt6XLqMmoSLIYsZmMkuBFSGIqkfdL6UeSKYlNlZuYS+iJfNqlV7Lrq5V8+PADzLisBhQkp2UwYOyECEYbXun5KVTWDoVzru545y3vwQuXwfZPYOicyAcnusxuMXL55EIun3z8RHJaa15fvZ/fv7OJC/61uPXyZiNJFiNpDgtTB6YzsyiLqQMzcNnlA1x8TUVipODEiRP1ihUrulT22veuRaN55sxnOlWufO9uXvjl/+Ftbjqy7bsPPI4rO6dLcfS0xa9uY+2CYgac0PFEW+gAbP0AHFmQP7HdXU1WIzMvLcKaJL/4saqywcPHm0rxt9TYvf4AjR4/jR4/TR4fjR4/+6ubWL6rkkaPH4OCkXkuJg9Ip3+mg9wUG+mO0HvPJFtNZDgspCZZMEqNP2YopVZqrdv/hW6rbCwl8pL7VlBdX0WDt4G85Lwj2805DlLPG4Qpvf3Riu7GRtyN9VSXlPDK737OGd+7lVGnnt7pOKLh4PZqPntxa+jzmNeVQFM1ZBa1OdFWwK+pLm3ktOuGM2xqnzBGK6LB4wuwam8VS3dWsHRnBav2VuPxHT8wTLRvxf+bTWayNdphHKc7iTymmlas/Vw0V1exrmwbmX3zcVqcoKFpYwWl96/EddZA7CPb7iNtwoTJmkpSoYtUVy4H125i+MSTQw/AoDA6olNz7TM4lcv+3+TQC+xbDo9fA+f/G8Zd2eouOqB54s5FFG+ukkSeACwmA1MHZjB1YPB3wB/QVNS7OVjTTFWjJ6RjaKC+2UdFvZvqJu9xE771BvYY7WbbHTGVyNMuKqKsMsBf//tjsqaN4OyBwQ8nX3UzVa9uo/qN7VS/sT2kY52Rfi0chIN3H7cGRrusA10kz+yLbWg6Kpb/7MyfBGkDYO2LbSZyZVD0HZLG/i1VaK2l+1uCMRoU2Sk2sjuYV0ckvphqWoHgUP2pz0/liuFXcPvEr7vXaa1p3lSJvza0mkfxxnVsXrKQaZdeSVJKaN3JAvUeGr4swV/jQdlMKFOMJz5PQ/Bltre5i89vxOMzYbd4UCYTmML8S68UymwIvtoZDRluGVcOx5TR9nULEW8SpmkFwGwwMyRtCJsqNh2zXSmFfUToQ8+z8n2888E/GGicweipw0Mu5zy1gKZ1h3Dvqgm5TNS4rbB5KQTa7m/vNtjZ451CnmEH6XoP5E2HrCHhiyEA2hcg4PHTo3+n9+CHhhCxLuYSOcCwjGF8sPuDbjUHpPfNx5Gaxr4N6xh9Wuhd9JTRQNLYbJLGZnfpvD2v/RmGtdZ88PMlNPQ/kTlJ78Ouh2H2PBjYiWcHQoiYFlOJfE+Tmz5WM8PTh/Pq1lc5c96ZqE5MI2VQBk7MO5HLhl7G4LTB5I84gX0b1/Xq9mGlFPnD0ti9tgL9uydRT86Bl6+G6bcFe7vYXDDuGojzKYOF6M1iJpFXen2cuXIrs9JTuGvAaWys2Ijb37mpVRu8Dby+7XVe2vISIzNGMshkJ72qkleXPsOFU67CGAfLx0VC/tA0Nn9RwqEKI1lXvARPnQ2f3PX1Dq58GDw7egEKIbolZhJ5utnEjflZ/HFXCX1tFn4z7TddOk5VcxWvb3+dhcUL2ZlSRTrw0kcP8cqhd7hz0p2MyGh74YaOGA1GrMbY63/akb5Dg8PH92+pImt2P7h1DfiaweeGv42Cze9IIhcijsVUrxWtNXduLebZAxXcXdSXC7LbnnfEZlQ4jO3XsLXWPPz9a2msq8GtfGjaHzzhN2i+Kqpha0F9q0vYKBTjsscxu99sxueMx6jio4ZvVEYW33cQg9FAn9EOFAqnxYlBGWD9a1BTDNN+RO6gVAqGtz5niBAishJmZCeAL6D5zvpdfFRR2+5+JgUX5qTxw8Icihxtd6nbvmIZe9d9hS/gZVftbnx+X9vnLq3Gt/cQlhMKST57POob62LWempZULyAbVXbOndRMWDivjlMLD6z3X3MNgPn3zUSs7VrH1AplhRMhpj5I0+IuJJQiRyg0R/gzbIqGv1t16B3Nrr5z8EKmgOaoQ4bRgUGFMOSbUxPTWaiy0GayUSyyYA1xAd5gYCfpa+9xBevvUDOgMFc8ft7MbRS699ds5sdNaGtixl1Gvzaj1/78fmDK+x4/V4+2fcxi4oXoQne/+z6fsxd/798PuAVNuQu6tKpsu3ZfHvYt7l4yMWk26RmL0RnJFwiD9Uhj4/Hi8vZ1BCcKMsT0HxV10il99glwUY77fxyYB4z050hHXfjwk9571/3xdVcLV1xoP4Ai/Yvwr/03+jGGmpL/oj2KlxXV9DZTj4BHWBh8UKWHFiCSZmwtwxSSrelM3fwXC4quohUW+jzfAvR2/TaRN6agNZsaWhmXX0TdT4/VV4/L5ZUUNzsZVa6k98V9WVQUvujG7XWPP/z/6Wprpbr738YoynBZw5c/ii8ewebpy3gk3lVnHfr2C63le+o3sHbO9+myRf8cN1WtY3lJcuxGq0McA0IqTupxWjhzAFnMnfwXJLM8bnqkxCdJYm8A83+AE/sP8T9e0pwBzS398/l+wXZmNuZS2XXVyuZd8+vOe2Gmxn7rbN6MNooqD0A9w3Hd9IvefrdyeQOSOHsm0IcDWswtTn74mHbqrbx8paXKWkoCemQZU1lbKzYiNPsZFrface1uyebk/nOqO/QN7lvaDEKEQckkYeo1O3lF9uKebu8hmyLiRRTMAENsFs5PSOFWRkppLVssyjFq3f9lNqyEq7/x6OYLfHX7bBTHp0F+1eytO5KVjZcyJzUv2BRjR0WszuMZP7f22BNDms4a8vX8tzG51hfsf6498obyzEoA7dPvJ1LhlzSawd7icQiibyT3i+v4c2yKgIEpwdZU9fI3uZjJ+PKsZi42xFgyz0/JyO/EEtSx3/iKxQmixmTxYot2UlKVg4pWVld+hDoUzSsZxfFKFkH2z6kvtHMs2+OIBAIfaTnsJEBZnz3FKz2numxcqD+AL9a8iuWHVxGtj0bczvL3c3oO4OfT/l5sKulEDFMEnk3aa3Z0tjM4qp63IFgP47nD1Swr9nD9VV7OGHjl6EdJxDA5/Xic7tprKuhobISrbs28b81ycEFP/kV+cNGdql8d1SXNtJYF8Iskz43ex67m9X15+NIszFiRh5KKQxGxaDx2biyIjc7odaa17e/zoqStn/O6jx1LChewFXDr+LOSXdKzV3ENEnkEVDt9fH9jXuYX1lHjsWEoZNJoI/VzDkZKcw2B8jA33GBo3iaGnnvn/dRV3GIc3/8UwaOm9Sp8j3q6fMoLbfyaeMdVB5oOLLZYFAMOzGXE04tOK5futGkSE6L/BzaWmv+/OWfeW7Tc9w+4XauG3VdxM8pRFdJIo8Qv9Y8sq+cbY3NnSqngQ11TaytD/bcsLTyITA11cEjI/uTam69OaKxtoZ59/yasl07SXK5AEjr05fz/+//YXOEtz26Wz6/Dz65C/3jLQQcwRkjm2q9rPpwDxs+30/A1/rPV+5AF+O+VciA0ZkRXcAjoAPcufBOPtj9AZn249dDnVUwi59P+XmvnYdHxA5J5DFqR2Mz75bXUOs7tkbeHAjw9P4KBiRZeXHMQPpYLa2Wdzc2svzNV2iuqyMQCLBx4ScMnnQi59z2k9hpJti/Ch49FS58DEZfcsxb9VXNwdWJvlGkscbD+s/2U1fZjMVuwhiGBTyUUpx8+VAGjss67j2P38Nj6x6jvKn8mO017ho+2vMRFwy+gLum3SXt6CKqJJHHoUVVdVy3bhcuk5E5ma529zUZFBalsGxei+GZf3L6//yA0bNDn2M9ogJ++PNAGHYOXPCvThQLsH1VGQe3hWcBj93rDpGUYuGSn3WuGerfX/2bB9c8yCVDLuHyYZcDkJ2Ujcva/j0RItwSaoWg3mJGmpPXxw3m5o17eK20qs39NODTGncggC8pl++dfCbzn3oEk8WCxX5sTxpXTi5Zhf0jG/g3GYww4CTYuQC0JtQhoQajgSGTchkyKTcsYaTNT+Lzl7ZRvreOrMLQRvACfH/M93H73Tyx/gle2foKEOyn/uI5L9IvpV9YYhMi0qRGHic8gQCnfbmFZp+fa/9zH+5DZcftY7JY+e4Dj+FIbXvWyIj48nF458fwg5WQObhnz93C3ejlqZ8sZsjUXE69clinymqt+bLkS6rd1fgCPu5edjf9Xf15es7TMgmY6DFSI+8FLAYD9wzJ5+KvdlB762+4wXzsOp1NNdXM++NdrHz3TU664rqeDW7gKcGvW94F+5WdK2tJanfx6FBZk8wMnpTD1uWlTL9wMJZO9GlXSjG5z+Rjvr9z4Z08vu5xbhpzU7djEyLSOvxpV0oVAM8AuUAAeERr/fdIByaONyPNyUU5aTx0oIqTxgwk4+geL1l5OE45g4+WLyf19HMZnpHe7hQEYZU+EFIL4aNfBl+dooLlc0eBvXszJo5SqWx2n8TWpx5m1El9of9McIS+YPdhZw44k/n75vPQmodwWV0kW47tJTQkbQhD0sK4gLUQ3dRh04pSqg/QR2u9SinlBFYCF2itN7ZVRppWIqfM7WXG8k3U+tofaDTaaef50QPJsvTQhF/7V0FxF+55UyWUrofSDeCu71YIWsPLxb/AHzAyLmlecGNrUwcYzODIguRssLTelbNJ+3iwdgNVgeMHRhlR/Mg1inTD133hldJYzH7sVi9mUyvjBpQhGIs1BUxWlEEd8zjBZNI4nbqdRwwKTNbgq7vNPSl9IWNQ944hwq5He60opd4E/qm1/qitfSSRR9aeJjdr65pafW/5Gy+zr6qaz6aeQZbFzAtjBnY422Mi2bTkIJ8+synaYXRJkqGSPMtGXMaDqOM6bbbOaqjHbqjBqhpABcs4DNWkmYoxqTZG5075Hpz5p3CFLcKkxxK5Uqo/sBAYpbVucwkfSeTRc2DrZl745R3UjxjPs1PPxGcwkWe3YjJ/3VfdoOCinDRuKczu9IjVWKe1prHGg7+dRUm66+XNL/P4hse5e/rdTMwN/t7pQPCBa3ODF6+7lRp5QIOvCTwN4HOjW8oc5m4OcGCPhwO7PTTWhRZ7e7+6SoHTBabW+ugbTGBqfexCZ13w43HYk8NzrN6uRxK5UioZ+Ay4W2s9r5X3bwRuBCgsLJywZ8+ersQjwuDzF56mbPdOyqwO3kjti1sZyCsaRlJqcGGHQx4fS2samJ2RwgPDC0lrY3SpaJ3H72Hum3MxKAPzzpvX7qRdkaS1xt3oo6nOg6cp+OGh0dRXuqk4UE91aSPaH/5eaUc75aph2BwJPl9/D4l4IldKmYG3gQ+01vd1tL/UyGNHfWUF8/74GyqK9zLpvIuwO1PQwDsmJ4+a00kmQIYOrmOarAP0C3jpF/DgaHehaoUjLY3UnD4hzQrZngF2K6Od8bd4xMLihdzyyS30Te6Lzdh205XVZMVhdmA32THQ9sjRFGsKN5xwAwNdAyMRrogDEU3kKjgW/GmgUmt9WygHlUQeW9yNjbx9/x/ZvWbVMdsPZvdl+ZiZ+I3BGnmj3cGh9By85p77U9luUKyeNrLNOWdi2ZPrn2TdoXXt7tPsa6bB23BkxaS27KvbR7O/mWtGXMNlQy8Lae4Xk8Eka6MmkEgn8hnA58A6OFJN+7nW+t22ykgijz1aazxNHS8UEdCaYreP5kDbNfKA30916UHKdu9i9XtvMWjiFGZcdk2nY9rT5Oaadbv4fVFfvpt//BwpvUlFUwX3rbyPt3a81alyE3ImcP2o65nZd2bszL8jukTmWhFRs+jFZ1j2+stc9Ivf0X/0uE6XP2PFFtwBzfxJQyURAesPrWdTZWi9bqqaq3hl6yuUNJRQ6CxkUu4kxmaPJSepBxck6SEZ9gwKnYXYTInbA0sSuYgan8fDMz/5EX6vl2vv/ScWW+dGaT53oII7tuzj7fFFTHQ5IhRl4vIGvLy/633e2/UeX5V/RZ2nLtohRYxCkWXPCtvDZavRSpotjVRratimYkg2J/Obab/pUllJ5CKqijdv4KVf/4SUrBys33j4mZrbh3Nv+ynK0PqDvgafn9FLNnB2lot/DJdJqrojoAPsqtlFjTs8M0rGioAOUN5Uzu7a3RyoP0Cgi6tufVOTr4mq5iqq3dX4decWf2lLmjWNp898uktlZa4VEVX5w0Zy+v/8gJ2rj/3wdjfWs23ZEnavXc2AsRNaLeswGbkoJ42XSyr57eC+cfnQM1YYlIFBqTJiszeS3xoRFqNnzzlujnS/z8vD37+ONR+912YiB7gqL4NnDlTw7TU7jp0/pouSTUbOzUrlW5kpWNv4S0CIRCKJXESM0WRm1Kmns+K/86irOIQz4/il1gBGO5O4Ji+DtXVNVHq7/yfuhvom3iqrJs1kZHyKg2/OHWY3GhjnTGKSy0G+zUJ3HrGalMJmVNgMrfcSlwe4oidIIhcRNfq0OXz55qus+/RDpl1yRZv7/XloQdjO6deahZV1vFRSyc5G93HvV/n8vFVWHbbzdZUBsBoMJBkN2DoxU+Up6U7+OqwwcoGJuCOJXERUak4u/UaPY92nHzD1wm9jMEZ+kWOjUpyakcKpGSlt7lPm9rKitoFDHl+Xz6MBr9Y0+wO4A/q4aa6O3/J1Oa2DX5sDAZr8AZoDoXc6GJ7c/fnbRWKRRC4ibszpZ/LWX//AynfeIKvfgA73tzmSyRlUFNFmiWyrmbOyUiN2fCF6kiRyEXEDx0/GmZHFwuefDLnMaTfczNhvnRXBqIRIHJLIRcQZTSauuPuv1JSVhrT/F6/+h8+efZyCkSeQ0Td8bedCJCoZECRiTn1VJc/83w9wZmZxxe/vxWiSaVJF4uvOgCDpZCtiTnJaOqff9EPKdu1g/lOP4Gluf+ZAIXo7aVoRMalo0omMm3Muq9//L5sXL+SE084ge0DboxaVUvQdNgJneut91YVIZJLIRcya9Z2bGDb9ZFa++yYr33kD3c7UugDKYGDQhCmMmHkqFnvkFqsw26yk9y3A5mh94WYhepokchHT8oYMI2/IMBpra2iub3tmP6/bzZYlC1k//yO2f/lFj8TmSEuPy2Q+fMYpTJl7abTDEGEkiVzEhaQUF0kprnb3yRkwiGmXXkXZru0EOqi9d4e7oYHK/fuoKN6HNw7b7x2padEOQYSZJHKRUExmM3lDhkf8PIMmTI74OYQIlfRaEUKIOCeJXAgh4pwkciGEiHOSyIUQIs5JIhdCiDgniVwIIeKcJHIhhIhzksiFECLORWQaW6VUObCni8UzgUNhDCcWyDXFB7mm2Jdo1wNfX1M/rXVWVw4QkUTeHUqpFV2dkzdWyTXFB7mm2Jdo1wPhuSZpWhFCiDgniVwIIeJcLCbyR6IdQATINcUHuabYl2jXA2G4pphrIxdCCNE5sVgjF0II0QmSyIUQIs7FTCJXSs1RSm1RSm1XSv002vF0hVKqQCk1Xym1SSm1QSl1a8v2dKXUR0qpbS1f426JFqWUUSm1Win1dsv3A5RSy1qu6SWllCXaMXaGUipVKfWqUmpzy/06Md7vk1Lqf1t+7tYrpV5QStni7T4ppZ5QSpUppdYfta3V+6KC/tGSM9YqpcZHL/K2tXFNf2n52VurlHpdKZV61Hs/a7mmLUqpM0I5R0wkcqWUEfgXcCYwArhcKTUiulF1iQ+4XWs9HJgK3NJyHT8FPtFaFwGftHwfb24FNh31/Z+Av7VcUxVwQ1Si6rq/A+9rrYcBYwheW9zeJ6VUX+BHwESt9SjACFxG/N2np4A539jW1n05Eyhqed0IPNhDMXbWUxx/TR8Bo7TWo4GtwM8AWvLFZcDIljL/bsmP7YqJRA5MBrZrrXdqrT3Ai8D5UY6p07TWB7XWq1r+XUcwOfQleC1Pt+z2NHBBdCLsGqVUPnA28FjL9wqYBbzasktcXZNSKgU4CXgcQGvt0VpXE+f3ieDSjXallAlIAg4SZ/dJa70QqPzG5rbuy/nAMzpoKZCqlOrTM5GGrrVr0lp/qLX2tXy7FMhv+ff5wItaa7fWehewnWB+bFesJPK+wL6jvi9u2Ra3lFL9gXHAMiBHa30QgskeyI5eZF1yP3AncHhF4wyg+qgfxHi7XwOBcuDJluaix5RSDuL4Pmmt9wP3AnsJJvAaYCXxfZ8Oa+u+JEreuB54r+XfXbqmWEnkqpVtcdsvUimVDLwG3Ka1ro12PN2hlDoHKNNarzx6cyu7xtP9MgHjgQe11uOABuKoGaU1Le3G5wMDgDzAQbDp4Zvi6T51JN5/DlFK/YJgk+zzhze1sluH1xQribwYKDjq+3zgQJRi6RallJlgEn9eaz2vZXPp4T/5Wr6WRSu+LpgOnKeU2k2wyWsWwRp6asuf8BB/96sYKNZaL2v5/lWCiT2e79NsYJfWulxr7QXmAdOI7/t0WFv3Ja7zhlLqWuAc4Er99YCeLl1TrCTyL4GilifsFoKN/W9FOaZOa2k7fhzYpLW+76i33gKubfn3tcCbPR1bV2mtf6a1ztda9yd4Xz7VWl8JzAcubtkt3q6pBNinlBrasuk0YCNxfJ8INqlMVUoltfwcHr6muL1PR2nrvrwFXNPSe2UqUHO4CSbWKaXmAD8BztNaNx711lvAZUopq1JqAMEHucs7PKDWOiZewFkEn97uAH4R7Xi6eA0zCP4ZtBb4quV1FsE25U+AbS1f06Mdaxev7xTg7ZZ/D2z5AdsOvAJYox1fJ69lLLCi5V69AaTF+30C7gI2A+uBZwFrvN0n4AWCbfxegrXTG9q6LwSbIf7VkjPWEeyxE/VrCPGathNsCz+cJx46av9ftFzTFuDMUM4hQ/SFECLOxUrTihBCiC6SRC6EEHFOErkQQsQ5SeRCCBHnJJELIUSck0QuhBBxThK5EELEuf8PNTlM4oLKPTAAAAAASUVORK5CYII=\n", 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1. 1.5 1. 2. 1.5]\n", + "0\n", + "1830985305.5213304\n", + "[2.5 1.5 2.5 1. 1.5 1. 2. 5. ]\n", + "[2.5 1.5 2.5 1. 1.5 1. 2. 1.5]\n", + "[2.5 1.5 2.5 1. 1.5 1. 2. 1.5]\n", + "Elapsed Time: 206.85048174858093 sec\n" + ] + } + ], + "source": [ + "start_time = time.time()\n", + "\n", + "#for ws in np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "wall_init = [40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "#x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + "#print(x_opt) \n", + "\n", + "heights_temp = heights_init.copy()\n", + "heights_min = heights_temp.copy()\n", + "cost_temp = objective2(heights_temp)\n", + "cost_min = cost_temp\n", + "epoch_min_prev = heights_init.copy()\n", + "min_store = []\n", + "\n", + "\n", + "hvals = np.linspace(0,5.0,11)\n", + "for epoch in range(8):\n", + " print(epoch)\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + "print(heights_min)\n", + "\n", + " \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": 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1.16666667]\n", + "0\n", + "1890326979.5910168\n", + "[2.16666667 1.33333333 2.16666667 0.16666667 0.83333333 1.\n", + " 2. 5. ]\n", + "[2.16666667 1.33333333 2.16666667 0.16666667 0.83333333 1.\n", + " 2. 1.16666667]\n", + "[2.16666667 1.33333333 2.16666667 0.16666667 0.83333333 1.\n", + " 2. 1.16666667]\n", + "Elapsed Time: 862.8446135520935 sec\n" + ] + } + ], + "source": [ + "start_time = time.time()\n", + "\n", + "#for ws in np.linspace(0,163,16):\n", + "#\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + "#\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + "wall_init = [40.,60.,1.0]\n", + "heights_init = np.ones(8)*2\n", + "#x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + "#print(x_opt) \n", + "\n", + "heights_temp = heights_init.copy()\n", + "heights_min = heights_temp.copy()\n", + "cost_temp = objective2(heights_temp)\n", + "cost_min = cost_temp\n", + "epoch_min_prev = heights_init.copy()\n", + "min_store = []\n", + "\n", + "\n", + "hvals = np.linspace(0,5.0,31)\n", + "for epoch in range(10):\n", + " print(\"-------------epoch--------------\\n\"+str(epoch))\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + "print(heights_min)\n", + "\n", + " \n", + "\n", + "\n", + "#if total_cost_new < total_cost:\n", + "#\ttotal_cost = total_cost_new\n", + "#\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + "#\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + "elapsed_time = time.time() - start_time\n", + "print(\"Elapsed Time: \",elapsed_time, \"sec\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.16666667 1.33333333 2.16666667 0.16666667 0.83333333 1.\n", + " 2. 1.16666667]\n", + "0\n", + "1460164799.2464008\n", + "1460164799.2464008\n" + ] + } + ], + "source": [ + "print(heights_min)\n", + "print(objective2(heights_min))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2404344056.3113294, 2397740773.348466, 2371158820.0546913, 2361260370.158409, 1917558563.7038617, 1829938683.4052715, 1803315697.4081438, 1696266746.4701924, 1563764275.4545393, 1553287085.845192, 1472613732.2833352, 1460164799.2464008]\n" + ] + } + ], + "source": [ + "print(min_store)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n", + "0\n", + "1434886968.5884402\n" + ] + } + ], + "source": [ + "cost_store = []\n", + "for array in min_store:\n", + " cost_store.append(objective2(array))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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in np.linspace(0,163,16):\n", + " #\tfor we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)):\n", + " #\t\tfor wh in np.linspace(0.1,5,10):\n", + "\n", + " #wall_init = [40.,60.,1.0]\n", + " heights_init = np.random.uniform(low = 0.0, high = 5.0, size = 8)\n", + " #x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e5, options = {'disp': True, 'return_all': True})\n", + " #print(x_opt) \n", + "\n", + " heights_temp = heights_init.copy()\n", + " heights_min = heights_temp.copy()\n", + " cost_temp = objective2(heights_temp)\n", + " cost_min = cost_temp\n", + " epoch_min_prev = heights_init.copy()\n", + " min_store = []\n", + " heights_store = []\n", + "\n", + "\n", + " hvals = np.linspace(0,5.0,31)\n", + " for epoch in range(10):\n", + " print(\"-------------epoch--------------\\n\"+str(epoch))\n", + " for index in range(8):\n", + " heights_temp = heights_min.copy()\n", + " for j, h_val in enumerate(hvals):\n", + " heights_temp[index] = h_val\n", + " cost_temp = objective2(heights_temp)\n", + " if cost_temp < cost_min:\n", + " cost_min = cost_temp\n", + " print(\"new min\")\n", + " heights_min[index] = h_val \n", + " min_store.append(cost_min)\n", + " heights_store.append(heights_min.copy())\n", + " print(heights_temp)\n", + " print(heights_min)\n", + " if np.array_equal(epoch_min_prev,heights_min):\n", + " break\n", + " epoch_min_prev = heights_min.copy()\n", + " print(heights_min)\n", + "\n", + " plt.plot(range(len(min_store)),min_store)\n", + " \n", + "\n", + "\n", + " #if total_cost_new < total_cost:\n", + " #\ttotal_cost = total_cost_new\n", + " #\tcost_opt \t= np.append(cost_opt,total_cost_new)\n", + " #\tx_opt\t \t= np.concatenate((x_opt,x))\n", + "\n", + " elapsed_time = time.time() - start_time\n", + " print(\"Elapsed Time: \",elapsed_time, \"sec\")\n", + "\n", + "plt.savefig('coordloop.png')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# GP stuff" + ] + }, + { + "cell_type": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "\n", + "def f(x, y):\n", + " returnmatrix = np.zeros(x.shape)\n", + " for i in range(x.shape[0]):\n", + " for j in range(x.shape[1]):\n", + " returnmatrix[i,j] = objective2(np.concatenate((np.ones(4)*x[i,j],np.ones(4)*y[i,j])))\n", + " return returnmatrix\n", + "\n", + "x = np.linspace(0.5, 4, 20)\n", + "y = np.linspace(0.5, 4, 20)\n", + "\n", + "X, Y = np.meshgrid(x, y)\n", + "Z = f(X, Y)\n", + "fig = plt.figure()\n", + "ax = plt.axes(projection='3d')\n", + "ax.contour3D(X, Y, Z, 50, cmap='binary')\n", + "ax.set_xlabel('x')\n", + "ax.set_ylabel('y')\n", + "ax.set_zlabel('z');" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.92, 'surface')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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np.zeros((10,10))\n", + "for i, h1 in enumerate(hrangenew):\n", + " for j, h2 in enumerate(hrangenew):\n", + " costs2partarray[i,j] = objective2(np.concatenate((np.ones(4)*h1,np.ones(4)*h2)))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for i in range(10):\n", + " plt.plot(hrangenew,costs2partarray[i,:], label = str(hrangenew[i]))\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for j in range(10):\n", + " plt.plot(hrangenew,costs2partarray[:,j],label = str(hrangenew[j]))\n", + " \n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/opt_nelder_mead.py b/opt_nelder_mead.py new file mode 100644 index 00000000..3bf240eb --- /dev/null +++ b/opt_nelder_mead.py @@ -0,0 +1,152 @@ +import scipy as sp +import scipy.optimize +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +#input_name = sys.argv[1] +output_name = sys.argv[1] + +#x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +def objective2(heights): + + x = np.concatenate((np.ones(41)*heights[0],np.ones(40)*heights[1],np.ones(41)*heights[2],np.ones(41)*heights[3])) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + return total_cost_new + +def objective3(x_input): + x = np.zeros(163) + ws = int(max(x_input[0],0)) + we = int(min(x_input[1],162)) + wh = x_input[2] + x[ws:we] = np.ones(we-ws)*wh + print(x_input) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + return total_cost_new + +cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]}, + {'type': 'ineq', 'fun': lambda x: x[0]}, + {'type': 'ineq', 'fun': lambda x: 162-x[1]}, + {'type': 'ineq', 'fun': lambda x: x[2]}, + {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): + +wall_init = [40.,60.,1.0] +x_opt = scipy.optimize.minimize(objective3, wall_init, method='Nelder-Mead', tol = 10.0e6, constraints = {'type': 'ineq', 'fun': lambda x: x[1] - x[0]}, options = {'disp': True, 'return_all': True}) +print(x_opt) + + + +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("manywalls_runs\\"+output_name, 'w') +#f.write(str(input_name)) +#f.write(str(total_cost_new)) +#f.write(str(wall_cost)) +f.write(str(x_opt)) +#f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +#f.write(str(wall_cost)) + diff --git a/opt_nelder_mead_8_parts.py b/opt_nelder_mead_8_parts.py new file mode 100644 index 00000000..fbbc8f80 --- /dev/null +++ b/opt_nelder_mead_8_parts.py @@ -0,0 +1,163 @@ +import scipy as sp +import scipy.optimize +import numpy as np +import pandas as pd +import time +import glob +import datetime +from scipy.optimize import minimize +import sys + +from fun_floodestimate import FloodHeight +from fun_floodestimate import FloodHeightWall +from fun_floodestimate import FloodTravelSectGroup +from fun_floodestimate import SurfaceVolFunc +from fun_damagecost import damage + +from fun_objective_loop_manywalls import objective +#from fun_objective_loop import constraint1 +#from fun_objective_loop import constraint2 +#from fun_objective_loop import constraint3 + +#input_name = sys.argv[1] +output_name = sys.argv[1] + +#x = np.loadtxt(input_name) + +#ws = int(sys.argv[1]) +#we = int(sys.argv[2]) +#wh = float(sys.argv[3]) +#wall_year = int(sys.argv[4]) +#fname = sys.argv[5] + +# setup +# Surface Volume Input +ndiv18 = 18 +sections = [10,11,5,12,1,13,16,4,17,15,3,14,0,9,8,7,2,6] +files = glob.glob('NewSurfaceVolumeCombined/LMN_div18_*.csv') +groupcsvfiles = glob.glob('NewSurfaceVolumeGrouped/LMN_div18_*.csv') +H = np.append(np.linspace(0,3,13),np.linspace(3.5,7,8)) + +SVfg1 = np.zeros([ndiv18,2]); SVfg2 = np.zeros([ndiv18,2]); SVfg3 = np.zeros([ndiv18,2]); SVfg4 = np.zeros([ndiv18,2]) +SVfg5 = np.zeros([ndiv18,2]); SVfg6 = np.zeros([ndiv18,2]); SVfg7 = np.zeros([ndiv18,2]); SVfg8 = np.zeros([ndiv18,2]) +SVfg9 = np.zeros([ndiv18,2]); SVfg10 = np.zeros([ndiv18,2]); SVfg11 = np.zeros([ndiv18,2]); SVfg12 = np.zeros([ndiv18,2]) +SVfg13 = np.zeros([ndiv18,2]); SVfg14 = np.zeros([ndiv18,2]); SVfg15 = np.zeros([ndiv18,2]); SVfg16 = np.zeros([ndiv18,2]) +SVfg17 = np.zeros([ndiv18,2]); SVfg18 = np.zeros([ndiv18,2]); SVfg19 = np.zeros([ndiv18,2]); SVfg20= np.zeros([ndiv18,2]) + +i = 0 +for f in groupcsvfiles: + surfaceVg = pd.read_csv(f)["volume"] + SVfg1[i,:],SVfg2[i,:],SVfg3[i,:],SVfg4[i,:],SVfg5[i,:],SVfg6[i,:],SVfg7[i,:],SVfg8[i,:],SVfg9[i,:],SVfg10[i,:],SVfg11[i,:],SVfg12[i,:],SVfg13[i,:],SVfg14[i,:],SVfg15[i,:],SVfg16[i,:],SVfg17[i,:],SVfg18[i,:],SVfg19[i,:],SVfg20[i,:] = SurfaceVolFunc(surfaceVg,H) + i = i + 1 + + +SVf1 = np.zeros([ndiv18,2]); SVf2 = np.zeros([ndiv18,2]); SVf3 = np.zeros([ndiv18,2]); SVf4 = np.zeros([ndiv18,2]) +SVf5 = np.zeros([ndiv18,2]); SVf6 = np.zeros([ndiv18,2]); SVf7 = np.zeros([ndiv18,2]); SVf8 = np.zeros([ndiv18,2]) +SVf9 = np.zeros([ndiv18,2]); SVf10 = np.zeros([ndiv18,2]); SVf11 = np.zeros([ndiv18,2]); SVf12 = np.zeros([ndiv18,2]) +SVf13 = np.zeros([ndiv18,2]); SVf14 = np.zeros([ndiv18,2]); SVf15 = np.zeros([ndiv18,2]); SVf16 = np.zeros([ndiv18,2]) +SVf17 = np.zeros([ndiv18,2]); SVf18 = np.zeros([ndiv18,2]); SVf19 = np.zeros([ndiv18,2]); SVf20= np.zeros([ndiv18,2]) + +SV_all = [] +i = 0 +for f in files: + surfaceV_height = pd.read_csv(f) + surfaceV = surfaceV_height["volume"] + SV_all = np.append(SV_all,surfaceV) + SVf1[i,:],SVf2[i,:],SVf3[i,:],SVf4[i,:],SVf5[i,:],SVf6[i,:],SVf7[i,:],SVf8[i,:],SVf9[i,:],SVf10[i,:],SVf11[i,:],SVf12[i,:],SVf13[i,:],SVf14[i,:],SVf15[i,:],SVf16[i,:],SVf17[i,:],SVf18[i,:],SVf19[i,:],SVf20[i,:] = SurfaceVolFunc(surfaceV,H) + i = i+1 +SV_all = SV_all.reshape(18,21) + +roughness = pd.read_csv("Roughness.csv")["Roughness"] +slope = pd.read_csv("LMN_Slope.csv")["Slope"] + +# Setup - Division Connectivities +sect3 = np.zeros([len(sections)-6,7]) +k = 3 +for i in sections[3:-3]: + sect3[k-3] = [sections[k-3],sections[k-2],sections[k-1],i,sections[k+1],sections[k+2],sections[k+3]] + k = k + 1 + +sect0 = [sections[0],sections[1],sections[2],sections[3]] +sect1 = [sections[0],sections[1],sections[2],sections[3],sections[4]] +sect2 = [sections[0],sections[1],sections[2],sections[3],sections[4],sections[5]] + +sect_3 = [sections[-6],sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_2 = [sections[-5],sections[-4],sections[-3],sections[-2],sections[-1]] +sect_1 = [sections[-4],sections[-3],sections[-2],sections[-1]] + +# initial value +total_cost = 75*10**9 # total cost without any protective measure +cost_opt = total_cost +x_opt = [0,2040,0,0] + +def objective2(h): + + w0 = np.ones(20)*h[0] + w1 = np.ones(20)*h[1] + w2 = np.ones(20)*h[2] + w3 = np.ones(20)*h[3] + w4 = np.ones(20)*h[4] + w5 = np.ones(20)*h[5] + w6 = np.ones(20)*h[6] + w7 = np.ones(23)*h[7] + + x = np.concatenate((w0,w1,w2,w3,w4,w5,w5,w7)) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + print(total_cost_new) + return total_cost_new + +def objective3(x_input): + x = np.zeros(163) + ws = int(max(x_input[0],0)) + we = int(min(x_input[1],162)) + wh = x_input[2] + x[ws:we] = np.ones(we-ws)*wh + print(x_input) + + total_cost_new, wall_cost = objective(x,SVf1,SVf2,SVf3,SVf4,SVf5,SVf6,SVf7,SVf8,SVf9,SVf10,SVf11,SVf12,SVf13,SVf14,SVf15,SVf16,SVf17,SVf18,SVf19,SVf20, + SVfg1,SVfg2,SVfg3,SVfg4,SVfg5,SVfg6,SVfg7,SVfg8,SVfg9,SVfg10,SVfg11,SVfg12,SVfg13,SVfg14,SVfg15,SVfg16,SVfg17,SVfg18,SVfg19,SVfg20, + SV_all,roughness,slope,sect0,sect1,sect2,sect3,sect_1,sect_2,sect_3,numiter=1) + return total_cost_new + +cons3 = [{'type': 'ineq', 'fun': lambda x: x[1] - x[0]}, + {'type': 'ineq', 'fun': lambda x: x[0]}, + {'type': 'ineq', 'fun': lambda x: 162-x[1]}, + {'type': 'ineq', 'fun': lambda x: x[2]}, + {'type': 'ineq', 'fun': lambda x: 5.0-x[2]}] + +start_time = time.time() + +#for ws in np.linspace(0,163,16): +# for we in np.linspace(ws+10.866,163,int((163-(ws+10.866))/11)): +# for wh in np.linspace(0.1,5,10): + +#wall_init = [40.,60.,1.0] +heights_init = np.ones(8)*1 +x_opt = scipy.optimize.minimize(objective2, heights_init, method='Nelder-Mead', tol = 10.0e6, options = {'disp': True, 'return_all': True}) +print(x_opt) + + +#if total_cost_new < total_cost: +# total_cost = total_cost_new +# cost_opt = np.append(cost_opt,total_cost_new) +# x_opt = np.concatenate((x_opt,x)) + +elapsed_time = time.time() - start_time +print("Elapsed Time: ",elapsed_time, "sec") + +#print('Optimal Variables:',x) +#print('Corresponding Cost:',total_cost_new) + +#f = open(str(ws)+'-'+str(we) + '-' + str(wh),'w') +f = open("manywalls_runs\\"+output_name, 'w') +#f.write(str(input_name)) +#f.write(str(total_cost_new)) +#f.write(str(wall_cost)) +f.write(str(heights_init)) +f.write(str(x_opt)) +#f.write(str(ws)+'\n'+str(we) + '\n' + str(wh) +'\n' +str(total_cost_new)+'\n') +#f.write(str(wall_cost)) + diff --git a/reduced-wall-cost/0 b/reduced-wall-cost/0 new file mode 100644 index 00000000..38735a94 --- /dev/null +++ b/reduced-wall-cost/0 @@ -0,0 +1,5 @@ +0 +0 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1 b/reduced-wall-cost/1 new file mode 100644 index 00000000..bee985aa --- /dev/null +++ b/reduced-wall-cost/1 @@ -0,0 +1,5 @@ +0 +0 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/10 b/reduced-wall-cost/10 new file mode 100644 index 00000000..8a111d3a --- /dev/null +++ b/reduced-wall-cost/10 @@ -0,0 +1,5 @@ +0 +10 +0.5 +5372388907.023998 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/100 b/reduced-wall-cost/100 new file mode 100644 index 00000000..f686e24c --- /dev/null +++ b/reduced-wall-cost/100 @@ -0,0 +1,5 @@ +0 +101 +0.5 +5498534273.902176 +276134000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1000 b/reduced-wall-cost/1000 new file mode 100644 index 00000000..3fae0a6b --- /dev/null +++ b/reduced-wall-cost/1000 @@ -0,0 +1,5 @@ +71 +91 +0.5 +5442819022.923001 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1001 b/reduced-wall-cost/1001 new file mode 100644 index 00000000..674275a1 --- /dev/null +++ b/reduced-wall-cost/1001 @@ -0,0 +1,5 @@ +71 +91 +1.0 +5496131043.806593 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1002 b/reduced-wall-cost/1002 new file mode 100644 index 00000000..d599f03d --- /dev/null +++ b/reduced-wall-cost/1002 @@ -0,0 +1,5 @@ +71 +91 +1.5 +5547231246.804032 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1003 b/reduced-wall-cost/1003 new file mode 100644 index 00000000..9e3dc936 --- /dev/null +++ b/reduced-wall-cost/1003 @@ -0,0 +1,5 @@ +71 +91 +2.0 +5601663863.498728 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1004 b/reduced-wall-cost/1004 new file mode 100644 index 00000000..a67b3322 --- /dev/null +++ b/reduced-wall-cost/1004 @@ -0,0 +1,5 @@ +71 +91 +2.5 +5656309838.608626 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1005 b/reduced-wall-cost/1005 new file mode 100644 index 00000000..c0b25329 --- /dev/null +++ b/reduced-wall-cost/1005 @@ -0,0 +1,5 @@ +71 +91 +3.0 +5710989838.608626 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1006 b/reduced-wall-cost/1006 new file mode 100644 index 00000000..2c81681e --- /dev/null +++ b/reduced-wall-cost/1006 @@ -0,0 +1,5 @@ +71 +91 +3.5 +5765669838.608626 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1007 b/reduced-wall-cost/1007 new file mode 100644 index 00000000..e904e656 --- /dev/null +++ b/reduced-wall-cost/1007 @@ -0,0 +1,5 @@ +71 +91 +4.0 +5820349838.608626 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1008 b/reduced-wall-cost/1008 new file mode 100644 index 00000000..981d2464 --- /dev/null +++ b/reduced-wall-cost/1008 @@ -0,0 +1,5 @@ +71 +91 +4.5 +5875029838.608626 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1009 b/reduced-wall-cost/1009 new file mode 100644 index 00000000..386ceddb --- /dev/null +++ b/reduced-wall-cost/1009 @@ -0,0 +1,5 @@ +71 +91 +5.0 +5929709838.608626 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/101 b/reduced-wall-cost/101 new file mode 100644 index 00000000..df7418ee --- /dev/null +++ b/reduced-wall-cost/101 @@ -0,0 +1,5 @@ +0 +101 +1.0 +5490440303.468027 +552268000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1010 b/reduced-wall-cost/1010 new file mode 100644 index 00000000..ae2d670c --- /dev/null +++ b/reduced-wall-cost/1010 @@ -0,0 +1,5 @@ +71 +101 +0.5 +5470159022.923001 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1011 b/reduced-wall-cost/1011 new file mode 100644 index 00000000..0a959cb7 --- /dev/null +++ b/reduced-wall-cost/1011 @@ -0,0 +1,5 @@ +71 +101 +1.0 +5550811043.806593 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1012 b/reduced-wall-cost/1012 new file mode 100644 index 00000000..7ab03bbf --- /dev/null +++ b/reduced-wall-cost/1012 @@ -0,0 +1,5 @@ +71 +101 +1.5 +5629251246.804032 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1013 b/reduced-wall-cost/1013 new file mode 100644 index 00000000..e65903f1 --- /dev/null +++ b/reduced-wall-cost/1013 @@ -0,0 +1,5 @@ +71 +101 +2.0 +5711023863.498728 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1014 b/reduced-wall-cost/1014 new file mode 100644 index 00000000..f36c9029 --- /dev/null +++ b/reduced-wall-cost/1014 @@ -0,0 +1,5 @@ +71 +101 +2.5 +5793009838.608626 +410100000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1015 b/reduced-wall-cost/1015 new file mode 100644 index 00000000..52dbb063 --- /dev/null +++ b/reduced-wall-cost/1015 @@ -0,0 +1,5 @@ +71 +101 +3.0 +5875029838.608626 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1016 b/reduced-wall-cost/1016 new file mode 100644 index 00000000..8e73bd74 --- /dev/null +++ b/reduced-wall-cost/1016 @@ -0,0 +1,5 @@ +71 +101 +3.5 +5957049838.608626 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1017 b/reduced-wall-cost/1017 new file mode 100644 index 00000000..f6055bdc --- /dev/null +++ b/reduced-wall-cost/1017 @@ -0,0 +1,5 @@ +71 +101 +4.0 +6039069838.608626 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1018 b/reduced-wall-cost/1018 new file mode 100644 index 00000000..44cb6c4f --- /dev/null +++ b/reduced-wall-cost/1018 @@ -0,0 +1,5 @@ +71 +101 +4.5 +6121089838.608626 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1019 b/reduced-wall-cost/1019 new file mode 100644 index 00000000..6b1721c2 --- /dev/null +++ b/reduced-wall-cost/1019 @@ -0,0 +1,5 @@ +71 +101 +5.0 +6203109838.608626 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/102 b/reduced-wall-cost/102 new file mode 100644 index 00000000..dd3919a3 --- /dev/null +++ b/reduced-wall-cost/102 @@ -0,0 +1,5 @@ +0 +101 +1.5 +4837095807.980355 +828402000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1020 b/reduced-wall-cost/1020 new file mode 100644 index 00000000..9ea7d599 --- /dev/null +++ b/reduced-wall-cost/1020 @@ -0,0 +1,5 @@ +71 +112 +0.5 +5461520637.0610285 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1021 b/reduced-wall-cost/1021 new file mode 100644 index 00000000..519bf5f7 --- /dev/null +++ b/reduced-wall-cost/1021 @@ -0,0 +1,5 @@ +71 +112 +1.0 +5570495188.108967 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1022 b/reduced-wall-cost/1022 new file mode 100644 index 00000000..2913b614 --- /dev/null +++ b/reduced-wall-cost/1022 @@ -0,0 +1,5 @@ +71 +112 +1.5 +5672360690.018218 +336282000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1023 b/reduced-wall-cost/1023 new file mode 100644 index 00000000..6b8618a3 --- /dev/null +++ b/reduced-wall-cost/1023 @@ -0,0 +1,5 @@ +71 +112 +2.0 +5782095120.429032 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1024 b/reduced-wall-cost/1024 new file mode 100644 index 00000000..5945ca51 --- /dev/null +++ b/reduced-wall-cost/1024 @@ -0,0 +1,5 @@ +71 +112 +2.5 +5893981457.653741 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1025 b/reduced-wall-cost/1025 new file mode 100644 index 00000000..430496c7 --- /dev/null +++ b/reduced-wall-cost/1025 @@ -0,0 +1,5 @@ +71 +112 +3.0 +6006075457.653741 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1026 b/reduced-wall-cost/1026 new file mode 100644 index 00000000..d3c47c05 --- 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-0,0 +1,5 @@ +0 +101 +2.0 +4462595809.7121525 +1104536000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1030 b/reduced-wall-cost/1030 new file mode 100644 index 00000000..7f5c8b16 --- /dev/null +++ b/reduced-wall-cost/1030 @@ -0,0 +1,5 @@ +71 +122 +0.5 +5486962470.295599 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1031 b/reduced-wall-cost/1031 new file mode 100644 index 00000000..f21d3b3d --- /dev/null +++ b/reduced-wall-cost/1031 @@ -0,0 +1,5 @@ +71 +122 +1.0 +5622353292.327384 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1032 b/reduced-wall-cost/1032 new file mode 100644 index 00000000..f5f90d46 --- /dev/null +++ b/reduced-wall-cost/1032 @@ -0,0 +1,5 @@ +71 +122 +1.5 +5749911721.646387 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1033 b/reduced-wall-cost/1033 new file mode 100644 index 00000000..43e57933 --- /dev/null +++ b/reduced-wall-cost/1033 @@ -0,0 +1,5 @@ +71 +122 +2.0 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newline at end of file diff --git a/reduced-wall-cost/1038 b/reduced-wall-cost/1038 new file mode 100644 index 00000000..dcac08aa --- /dev/null +++ b/reduced-wall-cost/1038 @@ -0,0 +1,5 @@ +71 +122 +4.5 +6584473840.496258 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1039 b/reduced-wall-cost/1039 new file mode 100644 index 00000000..1c0e8911 --- /dev/null +++ b/reduced-wall-cost/1039 @@ -0,0 +1,5 @@ +71 +122 +5.0 +6723907840.496258 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/104 b/reduced-wall-cost/104 new file mode 100644 index 00000000..d1ebc7fb --- /dev/null +++ b/reduced-wall-cost/104 @@ -0,0 +1,5 @@ +0 +101 +2.5 +4607596573.945595 +1380670000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1040 b/reduced-wall-cost/1040 new file mode 100644 index 00000000..17c53eca --- /dev/null +++ b/reduced-wall-cost/1040 @@ -0,0 +1,5 @@ +71 +132 +0.5 +5510512927.313824 +166774000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1041 b/reduced-wall-cost/1041 new file mode 100644 index 00000000..c6b1ef6d --- /dev/null +++ b/reduced-wall-cost/1041 @@ -0,0 +1,5 @@ +71 +132 +1.0 +5671363021.160542 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1042 b/reduced-wall-cost/1042 new file mode 100644 index 00000000..cc98689e --- /dev/null +++ b/reduced-wall-cost/1042 @@ -0,0 +1,5 @@ +71 +132 +1.5 +5826280293.691077 +500322000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1043 b/reduced-wall-cost/1043 new file mode 100644 index 00000000..667b6831 --- /dev/null +++ b/reduced-wall-cost/1043 @@ -0,0 +1,5 @@ +71 +132 +2.0 +5991509390.720233 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1044 b/reduced-wall-cost/1044 new file mode 100644 index 00000000..ab52ac45 --- /dev/null +++ b/reduced-wall-cost/1044 @@ -0,0 +1,5 @@ +71 +132 +2.5 +6158229352.347521 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1045 b/reduced-wall-cost/1045 new file mode 100644 index 00000000..34e0ba00 --- /dev/null +++ b/reduced-wall-cost/1045 @@ -0,0 +1,5 @@ +71 +132 +3.0 +6325001570.522486 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1046 b/reduced-wall-cost/1046 new file mode 100644 index 00000000..341474c1 --- /dev/null +++ b/reduced-wall-cost/1046 @@ -0,0 +1,5 @@ +71 +132 +3.5 +6491775570.522486 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1047 b/reduced-wall-cost/1047 new file mode 100644 index 00000000..cac76935 --- /dev/null +++ b/reduced-wall-cost/1047 @@ -0,0 +1,5 @@ +71 +132 +4.0 +6658549570.522486 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1048 b/reduced-wall-cost/1048 new file mode 100644 index 00000000..71560715 --- /dev/null +++ b/reduced-wall-cost/1048 @@ -0,0 +1,5 @@ +71 +132 +4.5 +6825323570.522486 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1049 b/reduced-wall-cost/1049 new file 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@@ -0,0 +1,5 @@ +71 +142 +3.5 +6601097173.468295 +1358798000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1057 b/reduced-wall-cost/1057 new file mode 100644 index 00000000..0a1bfb54 --- /dev/null +++ b/reduced-wall-cost/1057 @@ -0,0 +1,5 @@ +71 +142 +4.0 +6795211173.468295 +1552912000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1058 b/reduced-wall-cost/1058 new file mode 100644 index 00000000..a2c4cd48 --- /dev/null +++ b/reduced-wall-cost/1058 @@ -0,0 +1,5 @@ +71 +142 +4.5 +6989325173.468295 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1059 b/reduced-wall-cost/1059 new file mode 100644 index 00000000..c9d7ad04 --- /dev/null +++ b/reduced-wall-cost/1059 @@ -0,0 +1,5 @@ +71 +142 +5.0 +7183439173.468294 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/106 b/reduced-wall-cost/106 new file mode 100644 index 00000000..e78192aa --- /dev/null +++ b/reduced-wall-cost/106 @@ -0,0 +1,5 @@ +0 +101 +3.5 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newline at end of file diff --git a/reduced-wall-cost/1064 b/reduced-wall-cost/1064 new file mode 100644 index 00000000..9c1886bf --- /dev/null +++ b/reduced-wall-cost/1064 @@ -0,0 +1,5 @@ +71 +152 +2.5 +6020523652.117575 +1107270000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1065 b/reduced-wall-cost/1065 new file mode 100644 index 00000000..c1d09272 --- /dev/null +++ b/reduced-wall-cost/1065 @@ -0,0 +1,5 @@ +71 +152 +3.0 +6241748989.516004 +1328724000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1066 b/reduced-wall-cost/1066 new file mode 100644 index 00000000..a5fb8320 --- /dev/null +++ b/reduced-wall-cost/1066 @@ -0,0 +1,5 @@ +71 +152 +3.5 +6463199094.189433 +1550178000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1067 b/reduced-wall-cost/1067 new file mode 100644 index 00000000..229b8bdb --- /dev/null +++ b/reduced-wall-cost/1067 @@ -0,0 +1,5 @@ +71 +152 +4.0 +6684653094.189433 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1068 b/reduced-wall-cost/1068 new file mode 100644 index 00000000..6a528fa2 --- /dev/null +++ b/reduced-wall-cost/1068 @@ -0,0 +1,5 @@ +71 +152 +4.5 +6906107094.189433 +1993086000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1069 b/reduced-wall-cost/1069 new file mode 100644 index 00000000..24395184 --- /dev/null +++ b/reduced-wall-cost/1069 @@ -0,0 +1,5 @@ +71 +152 +5.0 +7127561094.189433 +2214540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/107 b/reduced-wall-cost/107 new file mode 100644 index 00000000..684ccc08 --- /dev/null +++ b/reduced-wall-cost/107 @@ -0,0 +1,5 @@ +0 +101 +4.0 +5371203467.91659 +2209072000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1070 b/reduced-wall-cost/1070 new file mode 100644 index 00000000..be4f7ac3 --- /dev/null +++ b/reduced-wall-cost/1070 @@ -0,0 +1,5 @@ +71 +163 +0.5 +4926995100.459582 +251528000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1071 b/reduced-wall-cost/1071 new file mode 100644 index 00000000..e038b807 --- /dev/null +++ b/reduced-wall-cost/1071 @@ -0,0 +1,5 @@ +71 +163 +1.0 +4983351166.189191 +503056000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1072 b/reduced-wall-cost/1072 new file mode 100644 index 00000000..ef1543bb --- /dev/null +++ b/reduced-wall-cost/1072 @@ -0,0 +1,5 @@ +71 +163 +1.5 +5100619159.577167 +754584000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1073 b/reduced-wall-cost/1073 new file mode 100644 index 00000000..9c724c1b --- /dev/null +++ b/reduced-wall-cost/1073 @@ -0,0 +1,5 @@ +71 +163 +2.0 +5199266369.687741 +1006112000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1074 b/reduced-wall-cost/1074 new file mode 100644 index 00000000..03bde07c --- /dev/null +++ b/reduced-wall-cost/1074 @@ -0,0 +1,5 @@ +71 +163 +2.5 +5449515218.821563 +1257640000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1075 b/reduced-wall-cost/1075 new file mode 100644 index 00000000..78c7bc35 --- /dev/null +++ b/reduced-wall-cost/1075 @@ -0,0 +1,5 @@ +71 +163 +3.0 +5700822352.85602 +1509168000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1076 b/reduced-wall-cost/1076 new file mode 100644 index 00000000..6f8f8c35 --- /dev/null +++ b/reduced-wall-cost/1076 @@ -0,0 +1,5 @@ +71 +163 +3.5 +5952346587.213957 +1760696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1077 b/reduced-wall-cost/1077 new file mode 100644 index 00000000..e6cc2e36 --- /dev/null +++ b/reduced-wall-cost/1077 @@ -0,0 +1,5 @@ +71 +163 +4.0 +6203874587.213957 +2012224000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1078 b/reduced-wall-cost/1078 new file mode 100644 index 00000000..88a9c43f --- /dev/null +++ b/reduced-wall-cost/1078 @@ -0,0 +1,5 @@ +71 +163 +4.5 +6455402587.213957 +2263752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1079 b/reduced-wall-cost/1079 new file mode 100644 index 00000000..7935e0dc --- /dev/null +++ b/reduced-wall-cost/1079 @@ -0,0 +1,5 @@ +71 +163 +5.0 +6706930587.213957 +2515280000.0 \ No newline at end of file diff --git a/reduced-wall-cost/108 b/reduced-wall-cost/108 new file mode 100644 index 00000000..8174b05d --- /dev/null +++ b/reduced-wall-cost/108 @@ -0,0 +1,5 @@ +0 +101 +4.5 +5647337467.91659 +2485206000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1080 b/reduced-wall-cost/1080 new file mode 100644 index 00000000..0f418c8a --- /dev/null +++ b/reduced-wall-cost/1080 @@ -0,0 +1,5 @@ +81 +81 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1081 b/reduced-wall-cost/1081 new file mode 100644 index 00000000..afb430b1 --- /dev/null +++ b/reduced-wall-cost/1081 @@ -0,0 +1,5 @@ +81 +81 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1082 b/reduced-wall-cost/1082 new file mode 100644 index 00000000..b3f57d03 --- /dev/null +++ b/reduced-wall-cost/1082 @@ -0,0 +1,5 @@ +81 +81 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a/reduced-wall-cost/1087 b/reduced-wall-cost/1087 new file mode 100644 index 00000000..c3164bf2 --- /dev/null +++ b/reduced-wall-cost/1087 @@ -0,0 +1,5 @@ +81 +81 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1088 b/reduced-wall-cost/1088 new file mode 100644 index 00000000..ab4b56cf --- /dev/null +++ b/reduced-wall-cost/1088 @@ -0,0 +1,5 @@ +81 +81 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1089 b/reduced-wall-cost/1089 new file mode 100644 index 00000000..43cb9162 --- /dev/null +++ b/reduced-wall-cost/1089 @@ -0,0 +1,5 @@ +81 +81 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/109 b/reduced-wall-cost/109 new file mode 100644 index 00000000..6d2dab6c --- /dev/null +++ b/reduced-wall-cost/109 @@ -0,0 +1,5 @@ +0 +101 +5.0 +5923471467.91659 +2761340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1090 b/reduced-wall-cost/1090 new file mode 100644 index 00000000..114bbe4b --- /dev/null +++ b/reduced-wall-cost/1090 @@ -0,0 +1,5 @@ +81 +91 +0.5 +5415507034.482044 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1091 b/reduced-wall-cost/1091 new file mode 100644 index 00000000..e6f22765 --- /dev/null +++ b/reduced-wall-cost/1091 @@ -0,0 +1,5 @@ +81 +91 +1.0 +5442847034.482044 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1092 b/reduced-wall-cost/1092 new file mode 100644 index 00000000..b089456c --- /dev/null +++ b/reduced-wall-cost/1092 @@ -0,0 +1,5 @@ +81 +91 +1.5 +5470187034.482044 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1093 b/reduced-wall-cost/1093 new file mode 100644 index 00000000..0386d921 --- /dev/null +++ b/reduced-wall-cost/1093 @@ -0,0 +1,5 @@ +81 +91 +2.0 +5497527034.482044 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1094 b/reduced-wall-cost/1094 new file mode 100644 index 00000000..649c0673 --- /dev/null +++ b/reduced-wall-cost/1094 @@ -0,0 +1,5 @@ +81 +91 +2.5 +5524867034.482044 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1095 b/reduced-wall-cost/1095 new file mode 100644 index 00000000..f8490db2 --- /dev/null +++ b/reduced-wall-cost/1095 @@ -0,0 +1,5 @@ +81 +91 +3.0 +5552207034.482044 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1096 b/reduced-wall-cost/1096 new file mode 100644 index 00000000..aad9b54f --- /dev/null +++ b/reduced-wall-cost/1096 @@ -0,0 +1,5 @@ +81 +91 +3.5 +5579547034.482044 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1097 b/reduced-wall-cost/1097 new file mode 100644 index 00000000..4559e667 --- /dev/null +++ b/reduced-wall-cost/1097 @@ -0,0 +1,5 @@ +81 +91 +4.0 +5606887034.482044 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1098 b/reduced-wall-cost/1098 new file mode 100644 index 00000000..4507551d --- /dev/null +++ b/reduced-wall-cost/1098 @@ -0,0 +1,5 @@ +81 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at end of file diff --git a/reduced-wall-cost/1101 b/reduced-wall-cost/1101 new file mode 100644 index 00000000..93ce27e9 --- /dev/null +++ b/reduced-wall-cost/1101 @@ -0,0 +1,5 @@ +81 +101 +1.0 +5497527034.482044 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1102 b/reduced-wall-cost/1102 new file mode 100644 index 00000000..9e86eb8b --- /dev/null +++ b/reduced-wall-cost/1102 @@ -0,0 +1,5 @@ +81 +101 +1.5 +5552207034.482044 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1103 b/reduced-wall-cost/1103 new file mode 100644 index 00000000..cac71ad9 --- /dev/null +++ b/reduced-wall-cost/1103 @@ -0,0 +1,5 @@ +81 +101 +2.0 +5606887034.482044 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1104 b/reduced-wall-cost/1104 new file mode 100644 index 00000000..45ee6c79 --- /dev/null +++ b/reduced-wall-cost/1104 @@ -0,0 +1,5 @@ +81 +101 +2.5 +5661567034.482044 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1105 b/reduced-wall-cost/1105 new file mode 100644 index 00000000..0df801e8 --- /dev/null +++ b/reduced-wall-cost/1105 @@ -0,0 +1,5 @@ +81 +101 +3.0 +5716247034.482044 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1106 b/reduced-wall-cost/1106 new file mode 100644 index 00000000..1ca60d50 --- /dev/null +++ b/reduced-wall-cost/1106 @@ -0,0 +1,5 @@ +81 +101 +3.5 +5770927034.482044 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1107 b/reduced-wall-cost/1107 new file mode 100644 index 00000000..3e24da95 --- /dev/null +++ b/reduced-wall-cost/1107 @@ -0,0 +1,5 @@ +81 +101 +4.0 +5825607034.482044 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1108 b/reduced-wall-cost/1108 new file mode 100644 index 00000000..4e3364e2 --- /dev/null +++ b/reduced-wall-cost/1108 @@ -0,0 +1,5 @@ +81 +101 +4.5 +5880287034.482044 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1109 b/reduced-wall-cost/1109 new file mode 100644 index 00000000..4663ca4c --- /dev/null +++ b/reduced-wall-cost/1109 @@ -0,0 +1,5 @@ +81 +101 +5.0 +5934967034.482044 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/111 b/reduced-wall-cost/111 new file mode 100644 index 00000000..f921cce8 --- /dev/null +++ b/reduced-wall-cost/111 @@ -0,0 +1,5 @@ +0 +112 +1.0 +5486376458.132528 +612416000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1110 b/reduced-wall-cost/1110 new file mode 100644 index 00000000..21198607 --- /dev/null +++ b/reduced-wall-cost/1110 @@ -0,0 +1,5 @@ +81 +112 +0.5 +5434180637.0610285 +84754000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1111 b/reduced-wall-cost/1111 new file mode 100644 index 00000000..fa2fe539 --- /dev/null +++ b/reduced-wall-cost/1111 @@ -0,0 +1,5 @@ +81 +112 +1.0 +5518475483.714275 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1112 b/reduced-wall-cost/1112 new file mode 100644 index 00000000..319b97d5 --- /dev/null +++ b/reduced-wall-cost/1112 @@ -0,0 +1,5 @@ +81 +112 +1.5 +5603194516.9640465 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1113 b/reduced-wall-cost/1113 new file mode 100644 index 00000000..93edf035 --- /dev/null +++ b/reduced-wall-cost/1113 @@ -0,0 +1,5 @@ +81 +112 +2.0 +5687948516.9640465 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1114 b/reduced-wall-cost/1114 new file mode 100644 index 00000000..3db1933f --- /dev/null +++ b/reduced-wall-cost/1114 @@ -0,0 +1,5 @@ +81 +112 +2.5 +5772702516.9640465 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1115 b/reduced-wall-cost/1115 new file mode 100644 index 00000000..11788001 --- /dev/null +++ b/reduced-wall-cost/1115 @@ -0,0 +1,5 @@ +81 +112 +3.0 +5857456516.9640465 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1116 b/reduced-wall-cost/1116 new file mode 100644 index 00000000..a3540dc9 --- /dev/null +++ b/reduced-wall-cost/1116 @@ -0,0 +1,5 @@ +81 +112 +3.5 +5942210516.9640465 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1117 b/reduced-wall-cost/1117 new file mode 100644 index 00000000..12de399c --- /dev/null +++ b/reduced-wall-cost/1117 @@ -0,0 +1,5 @@ +81 +112 +4.0 +6026964516.9640465 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1118 b/reduced-wall-cost/1118 new file mode 100644 index 00000000..96e1ec92 --- /dev/null +++ b/reduced-wall-cost/1118 @@ -0,0 +1,5 @@ +81 +112 +4.5 +6111718516.9640465 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1119 b/reduced-wall-cost/1119 new file mode 100644 index 00000000..0f97479f --- /dev/null +++ b/reduced-wall-cost/1119 @@ -0,0 +1,5 @@ +81 +112 +5.0 +6196472516.9640465 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/112 b/reduced-wall-cost/112 new file mode 100644 index 00000000..7133bbf3 --- /dev/null +++ b/reduced-wall-cost/112 @@ -0,0 +1,5 @@ +0 +112 +1.5 +4963950910.435083 +918624000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1120 b/reduced-wall-cost/1120 new file mode 100644 index 00000000..8f7061f8 --- /dev/null +++ b/reduced-wall-cost/1120 @@ -0,0 +1,5 @@ +81 +122 +0.5 +5459622470.295599 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1121 b/reduced-wall-cost/1121 new file mode 100644 index 00000000..d7ef5aca --- /dev/null +++ b/reduced-wall-cost/1121 @@ -0,0 +1,5 @@ +81 +122 +1.0 +5570965245.157872 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1122 b/reduced-wall-cost/1122 new file mode 100644 index 00000000..cac88adb --- /dev/null +++ b/reduced-wall-cost/1122 @@ -0,0 +1,5 @@ +81 +122 +1.5 +5683022069.334569 +336282000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1123 b/reduced-wall-cost/1123 new file mode 100644 index 00000000..3d080296 --- /dev/null +++ b/reduced-wall-cost/1123 @@ -0,0 +1,5 @@ +81 +122 +2.0 +5795116069.334569 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1124 b/reduced-wall-cost/1124 new file mode 100644 index 00000000..b4c62beb --- /dev/null +++ b/reduced-wall-cost/1124 @@ -0,0 +1,5 @@ +81 +122 +2.5 +5907210069.334569 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1125 b/reduced-wall-cost/1125 new file mode 100644 index 00000000..8ef378ad --- /dev/null +++ b/reduced-wall-cost/1125 @@ -0,0 +1,5 @@ +81 +122 +3.0 +6019304069.334569 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1126 b/reduced-wall-cost/1126 new file mode 100644 index 00000000..833f4de2 --- /dev/null +++ b/reduced-wall-cost/1126 @@ -0,0 +1,5 @@ +81 +122 +3.5 +6131398069.334569 +784658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1127 b/reduced-wall-cost/1127 new file mode 100644 index 00000000..5422dfe9 --- /dev/null +++ b/reduced-wall-cost/1127 @@ -0,0 +1,5 @@ +81 +122 +4.0 +6243492069.334569 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1128 b/reduced-wall-cost/1128 new file mode 100644 index 00000000..f1f5bd66 --- /dev/null +++ b/reduced-wall-cost/1128 @@ -0,0 +1,5 @@ +81 +122 +4.5 +6355586069.334569 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1129 b/reduced-wall-cost/1129 new file mode 100644 index 00000000..44c3ad88 --- /dev/null +++ b/reduced-wall-cost/1129 @@ -0,0 +1,5 @@ +81 +122 +5.0 +6467680069.334569 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/113 b/reduced-wall-cost/113 new file mode 100644 index 00000000..1d0f042b --- /dev/null +++ b/reduced-wall-cost/113 @@ -0,0 +1,5 @@ +0 +112 +2.0 +3470757395.121256 +1224832000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1130 b/reduced-wall-cost/1130 new file mode 100644 index 00000000..9ee7648c --- /dev/null +++ b/reduced-wall-cost/1130 @@ -0,0 +1,5 @@ +81 +132 +0.5 +5483188783.090178 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1131 b/reduced-wall-cost/1131 new file mode 100644 index 00000000..6fe206a9 --- /dev/null +++ b/reduced-wall-cost/1131 @@ -0,0 +1,5 @@ +81 +132 +1.0 +5621189935.702832 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1132 b/reduced-wall-cost/1132 new file mode 100644 index 00000000..5b2faa1c --- /dev/null +++ b/reduced-wall-cost/1132 @@ -0,0 +1,5 @@ +81 +132 +1.5 +5760595823.725741 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1133 b/reduced-wall-cost/1133 new file mode 100644 index 00000000..1ba361f5 --- /dev/null +++ b/reduced-wall-cost/1133 @@ -0,0 +1,5 @@ +81 +132 +2.0 +5900029823.725741 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1134 b/reduced-wall-cost/1134 new file mode 100644 index 00000000..6e7d8348 --- /dev/null +++ b/reduced-wall-cost/1134 @@ -0,0 +1,5 @@ +81 +132 +2.5 +6039463823.725741 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1135 b/reduced-wall-cost/1135 new file mode 100644 index 00000000..756b271e --- /dev/null +++ b/reduced-wall-cost/1135 @@ -0,0 +1,5 @@ +81 +132 +3.0 +6178897823.725741 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1136 b/reduced-wall-cost/1136 new file mode 100644 index 00000000..25559d4e --- /dev/null +++ b/reduced-wall-cost/1136 @@ -0,0 +1,5 @@ +81 +132 +3.5 +6318331823.725741 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1137 b/reduced-wall-cost/1137 new file mode 100644 index 00000000..33d19ae0 --- /dev/null +++ b/reduced-wall-cost/1137 @@ -0,0 +1,5 @@ +81 +132 +4.0 +6457765823.725741 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1138 b/reduced-wall-cost/1138 new file mode 100644 index 00000000..ed401490 --- /dev/null +++ b/reduced-wall-cost/1138 @@ -0,0 +1,5 @@ +81 +132 +4.5 +6597199823.725741 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1139 b/reduced-wall-cost/1139 new file mode 100644 index 00000000..794074d8 --- /dev/null +++ b/reduced-wall-cost/1139 @@ -0,0 +1,5 @@ +81 +132 +5.0 +6736633823.725741 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/114 b/reduced-wall-cost/114 new file mode 100644 index 00000000..ca7d26f7 --- /dev/null +++ b/reduced-wall-cost/114 @@ -0,0 +1,5 @@ +0 +112 +2.5 +3624319569.4468613 +1531040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1140 b/reduced-wall-cost/1140 new file mode 100644 index 00000000..f7b84793 --- /dev/null +++ b/reduced-wall-cost/1140 @@ -0,0 +1,5 @@ +81 +142 +0.5 +5454102728.446802 +166774000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1141 b/reduced-wall-cost/1141 new file mode 100644 index 00000000..bbd7394c --- /dev/null +++ b/reduced-wall-cost/1141 @@ -0,0 +1,5 @@ +81 +142 +1.0 +5605985662.511111 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1142 b/reduced-wall-cost/1142 new file mode 100644 index 00000000..cbe2596d --- /dev/null +++ b/reduced-wall-cost/1142 @@ -0,0 +1,5 @@ +81 +142 +1.5 +5773456616.519919 +500322000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1143 b/reduced-wall-cost/1143 new file mode 100644 index 00000000..c9a2d03b --- /dev/null +++ b/reduced-wall-cost/1143 @@ -0,0 +1,5 @@ +81 +142 +2.0 +5940230616.519919 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1144 b/reduced-wall-cost/1144 new file mode 100644 index 00000000..0a4e46e3 --- /dev/null +++ b/reduced-wall-cost/1144 @@ -0,0 +1,5 @@ +81 +142 +2.5 +6107004616.519919 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1145 b/reduced-wall-cost/1145 new file mode 100644 index 00000000..40497596 --- /dev/null +++ b/reduced-wall-cost/1145 @@ -0,0 +1,5 @@ +81 +142 +3.0 +6273778616.519919 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1146 b/reduced-wall-cost/1146 new file mode 100644 index 00000000..c7a17051 --- /dev/null +++ b/reduced-wall-cost/1146 @@ -0,0 +1,5 @@ +81 +142 +3.5 +6440552616.519919 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1147 b/reduced-wall-cost/1147 new file mode 100644 index 00000000..fbc68cc9 --- /dev/null +++ b/reduced-wall-cost/1147 @@ -0,0 +1,5 @@ +81 +142 +4.0 +6607326616.519919 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1148 b/reduced-wall-cost/1148 new file mode 100644 index 00000000..3641aaf6 --- /dev/null +++ b/reduced-wall-cost/1148 @@ -0,0 +1,5 @@ +81 +142 +4.5 +6774100616.519919 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1149 b/reduced-wall-cost/1149 new file mode 100644 index 00000000..932d36a6 --- /dev/null +++ b/reduced-wall-cost/1149 @@ -0,0 +1,5 @@ +81 +142 +5.0 +6940874616.519919 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/115 b/reduced-wall-cost/115 new file mode 100644 index 00000000..65424289 --- /dev/null +++ b/reduced-wall-cost/115 @@ -0,0 +1,5 @@ +0 +112 +3.0 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newline at end of file diff --git a/reduced-wall-cost/1154 b/reduced-wall-cost/1154 new file mode 100644 index 00000000..07828bca --- /dev/null +++ b/reduced-wall-cost/1154 @@ -0,0 +1,5 @@ +81 +152 +2.5 +5935062118.134373 +970570000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1155 b/reduced-wall-cost/1155 new file mode 100644 index 00000000..4d9951e5 --- /dev/null +++ b/reduced-wall-cost/1155 @@ -0,0 +1,5 @@ +81 +152 +3.0 +6129176118.134373 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1156 b/reduced-wall-cost/1156 new file mode 100644 index 00000000..176c8725 --- /dev/null +++ b/reduced-wall-cost/1156 @@ -0,0 +1,5 @@ +81 +152 +3.5 +6323290118.134373 +1358798000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1157 b/reduced-wall-cost/1157 new file mode 100644 index 00000000..f2003214 --- /dev/null +++ b/reduced-wall-cost/1157 @@ -0,0 +1,5 @@ +81 +152 +4.0 +6517404118.134373 +1552912000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1158 b/reduced-wall-cost/1158 new file mode 100644 index 00000000..ad72ab85 --- /dev/null +++ b/reduced-wall-cost/1158 @@ -0,0 +1,5 @@ +81 +152 +4.5 +6711518118.134373 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1159 b/reduced-wall-cost/1159 new file mode 100644 index 00000000..b52474d6 --- /dev/null +++ b/reduced-wall-cost/1159 @@ -0,0 +1,5 @@ +81 +152 +5.0 +6905632118.134373 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/116 b/reduced-wall-cost/116 new file mode 100644 index 00000000..5534f678 --- /dev/null +++ b/reduced-wall-cost/116 @@ -0,0 +1,5 @@ +0 +112 +3.5 +4146562281.4340734 +2143456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1160 b/reduced-wall-cost/1160 new file mode 100644 index 00000000..900dcd7f --- /dev/null +++ b/reduced-wall-cost/1160 @@ -0,0 +1,5 @@ +81 +163 +0.5 +4900319685.746983 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1161 b/reduced-wall-cost/1161 new file mode 100644 index 00000000..730032e7 --- /dev/null +++ b/reduced-wall-cost/1161 @@ -0,0 +1,5 @@ +81 +163 +1.0 +4937482666.061452 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1162 b/reduced-wall-cost/1162 new file mode 100644 index 00000000..dfe27f42 --- /dev/null +++ b/reduced-wall-cost/1162 @@ -0,0 +1,5 @@ +81 +163 +1.5 +5059366120.626507 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1163 b/reduced-wall-cost/1163 new file mode 100644 index 00000000..527b1bb1 --- /dev/null +++ b/reduced-wall-cost/1163 @@ -0,0 +1,5 @@ +81 +163 +2.0 +5139089774.538127 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1164 b/reduced-wall-cost/1164 new file mode 100644 index 00000000..88b19934 --- /dev/null +++ b/reduced-wall-cost/1164 @@ -0,0 +1,5 @@ +81 +163 +2.5 +5363277774.538127 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1165 b/reduced-wall-cost/1165 new file mode 100644 index 00000000..549333c2 --- /dev/null +++ b/reduced-wall-cost/1165 @@ -0,0 +1,5 @@ +81 +163 +3.0 +5587465774.538127 +1345128000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1166 b/reduced-wall-cost/1166 new file mode 100644 index 00000000..7cca71a3 --- /dev/null +++ b/reduced-wall-cost/1166 @@ -0,0 +1,5 @@ +81 +163 +3.5 +5811653774.538127 +1569316000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1167 b/reduced-wall-cost/1167 new file mode 100644 index 00000000..4623c4c7 --- /dev/null +++ b/reduced-wall-cost/1167 @@ -0,0 +1,5 @@ +81 +163 +4.0 +6035841774.538127 +1793504000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1168 b/reduced-wall-cost/1168 new file mode 100644 index 00000000..03e2b93e --- /dev/null +++ b/reduced-wall-cost/1168 @@ -0,0 +1,5 @@ +81 +163 +4.5 +6260029774.538127 +2017692000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1169 b/reduced-wall-cost/1169 new file mode 100644 index 00000000..f2ddefba --- /dev/null +++ b/reduced-wall-cost/1169 @@ -0,0 +1,5 @@ +81 +163 +5.0 +6484217774.538127 +2241880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/117 b/reduced-wall-cost/117 new file mode 100644 index 00000000..703f0c40 --- /dev/null +++ b/reduced-wall-cost/117 @@ -0,0 +1,5 @@ +0 +112 +4.0 +4452770281.434074 +2449664000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1170 b/reduced-wall-cost/1170 new file mode 100644 index 00000000..20bd97fc --- /dev/null +++ b/reduced-wall-cost/1170 @@ -0,0 +1,5 @@ +91 +91 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1171 b/reduced-wall-cost/1171 new file mode 100644 index 00000000..163f7b37 --- /dev/null +++ b/reduced-wall-cost/1171 @@ -0,0 +1,5 @@ +91 +91 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1172 b/reduced-wall-cost/1172 new file mode 100644 index 00000000..f967840b --- /dev/null +++ b/reduced-wall-cost/1172 @@ -0,0 +1,5 @@ +91 +91 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a/reduced-wall-cost/1177 b/reduced-wall-cost/1177 new file mode 100644 index 00000000..de87e3a4 --- /dev/null +++ b/reduced-wall-cost/1177 @@ -0,0 +1,5 @@ +91 +91 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1178 b/reduced-wall-cost/1178 new file mode 100644 index 00000000..031ab0e0 --- /dev/null +++ b/reduced-wall-cost/1178 @@ -0,0 +1,5 @@ +91 +91 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1179 b/reduced-wall-cost/1179 new file mode 100644 index 00000000..0759b225 --- /dev/null +++ b/reduced-wall-cost/1179 @@ -0,0 +1,5 @@ +91 +91 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/118 b/reduced-wall-cost/118 new file mode 100644 index 00000000..10029c57 --- /dev/null +++ b/reduced-wall-cost/118 @@ -0,0 +1,5 @@ +0 +112 +4.5 +4758978281.434074 +2755872000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1180 b/reduced-wall-cost/1180 new file mode 100644 index 00000000..5aca6a9c --- /dev/null +++ b/reduced-wall-cost/1180 @@ -0,0 +1,5 @@ +91 +101 +0.5 +5416436337.18467 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1181 b/reduced-wall-cost/1181 new file mode 100644 index 00000000..4365b71d --- /dev/null +++ b/reduced-wall-cost/1181 @@ -0,0 +1,5 @@ +91 +101 +1.0 +5443776337.18467 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1182 b/reduced-wall-cost/1182 new file mode 100644 index 00000000..01b7b949 --- /dev/null +++ b/reduced-wall-cost/1182 @@ -0,0 +1,5 @@ +91 +101 +1.5 +5471116337.18467 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1183 b/reduced-wall-cost/1183 new file mode 100644 index 00000000..a8e3a7fc --- /dev/null +++ b/reduced-wall-cost/1183 @@ -0,0 +1,5 @@ +91 +101 +2.0 +5498456337.18467 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1184 b/reduced-wall-cost/1184 new file mode 100644 index 00000000..15e9f24c --- /dev/null +++ b/reduced-wall-cost/1184 @@ -0,0 +1,5 @@ +91 +101 +2.5 +5525796337.18467 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1185 b/reduced-wall-cost/1185 new file mode 100644 index 00000000..11a40bf3 --- /dev/null +++ b/reduced-wall-cost/1185 @@ -0,0 +1,5 @@ +91 +101 +3.0 +5553136337.18467 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1186 b/reduced-wall-cost/1186 new file mode 100644 index 00000000..30ae0660 --- /dev/null +++ b/reduced-wall-cost/1186 @@ -0,0 +1,5 @@ +91 +101 +3.5 +5580476337.18467 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1187 b/reduced-wall-cost/1187 new file mode 100644 index 00000000..a08a0c89 --- /dev/null +++ b/reduced-wall-cost/1187 @@ -0,0 +1,5 @@ +91 +101 +4.0 +5607816337.18467 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1188 b/reduced-wall-cost/1188 new file mode 100644 index 00000000..f45d9b0a --- /dev/null +++ b/reduced-wall-cost/1188 @@ -0,0 +1,5 @@ +91 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newline at end of file diff --git a/reduced-wall-cost/1192 b/reduced-wall-cost/1192 new file mode 100644 index 00000000..39c7dd86 --- /dev/null +++ b/reduced-wall-cost/1192 @@ -0,0 +1,5 @@ +91 +112 +1.5 +5527244734.435581 +172242000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1193 b/reduced-wall-cost/1193 new file mode 100644 index 00000000..0c56ee5f --- /dev/null +++ b/reduced-wall-cost/1193 @@ -0,0 +1,5 @@ +91 +112 +2.0 +5584658734.435581 +229656000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1194 b/reduced-wall-cost/1194 new file mode 100644 index 00000000..bc01df2b --- /dev/null +++ b/reduced-wall-cost/1194 @@ -0,0 +1,5 @@ +91 +112 +2.5 +5642072734.435581 +287070000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1195 b/reduced-wall-cost/1195 new file mode 100644 index 00000000..6939641e --- /dev/null +++ b/reduced-wall-cost/1195 @@ -0,0 +1,5 @@ +91 +112 +3.0 +5699486734.435581 +344484000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1196 b/reduced-wall-cost/1196 new file mode 100644 index 00000000..2e737d24 --- /dev/null +++ b/reduced-wall-cost/1196 @@ -0,0 +1,5 @@ +91 +112 +3.5 +5756900734.435581 +401898000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1197 b/reduced-wall-cost/1197 new file mode 100644 index 00000000..4a7bf7f5 --- /dev/null +++ b/reduced-wall-cost/1197 @@ -0,0 +1,5 @@ +91 +112 +4.0 +5814314734.435581 +459312000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1198 b/reduced-wall-cost/1198 new file mode 100644 index 00000000..2c7251be --- /dev/null +++ b/reduced-wall-cost/1198 @@ -0,0 +1,5 @@ +91 +112 +4.5 +5871728734.435581 +516726000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1199 b/reduced-wall-cost/1199 new file mode 100644 index 00000000..990ee502 --- /dev/null +++ b/reduced-wall-cost/1199 @@ -0,0 +1,5 @@ +91 +112 +5.0 +5929142734.435581 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/12 b/reduced-wall-cost/12 new file mode 100644 index 00000000..3a2339ba --- /dev/null +++ b/reduced-wall-cost/12 @@ -0,0 +1,5 @@ +0 +10 +1.5 +5406638749.898781 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/120 b/reduced-wall-cost/120 new file mode 100644 index 00000000..7ce2e130 --- /dev/null +++ b/reduced-wall-cost/120 @@ -0,0 +1,5 @@ +0 +122 +0.5 +5515358689.633807 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1200 b/reduced-wall-cost/1200 new file mode 100644 index 00000000..68b9f426 --- /dev/null +++ b/reduced-wall-cost/1200 @@ -0,0 +1,5 @@ +91 +122 +0.5 +5437970131.336165 +84754000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1201 b/reduced-wall-cost/1201 new file mode 100644 index 00000000..716535bd --- /dev/null +++ b/reduced-wall-cost/1201 @@ -0,0 +1,5 @@ +91 +122 +1.0 +5522570916.47474 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1202 b/reduced-wall-cost/1202 new file mode 100644 index 00000000..9140cbca --- /dev/null +++ b/reduced-wall-cost/1202 @@ -0,0 +1,5 @@ +91 +122 +1.5 +5607297871.630543 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1203 b/reduced-wall-cost/1203 new file mode 100644 index 00000000..e7a67f80 --- /dev/null +++ b/reduced-wall-cost/1203 @@ -0,0 +1,5 @@ +91 +122 +2.0 +5692051871.630543 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1204 b/reduced-wall-cost/1204 new file mode 100644 index 00000000..094049ac --- /dev/null +++ b/reduced-wall-cost/1204 @@ -0,0 +1,5 @@ +91 +122 +2.5 +5776805871.630543 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1205 b/reduced-wall-cost/1205 new file mode 100644 index 00000000..5d23bf29 --- /dev/null +++ b/reduced-wall-cost/1205 @@ -0,0 +1,5 @@ +91 +122 +3.0 +5861559871.630543 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1206 b/reduced-wall-cost/1206 new file mode 100644 index 00000000..e42c7bd0 --- /dev/null +++ b/reduced-wall-cost/1206 @@ -0,0 +1,5 @@ +91 +122 +3.5 +5946313871.630543 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1207 b/reduced-wall-cost/1207 new file mode 100644 index 00000000..57079160 --- /dev/null +++ b/reduced-wall-cost/1207 @@ -0,0 +1,5 @@ +91 +122 +4.0 +6031067871.630543 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1208 b/reduced-wall-cost/1208 new file mode 100644 index 00000000..9741ff99 --- /dev/null +++ b/reduced-wall-cost/1208 @@ -0,0 +1,5 @@ +91 +122 +4.5 +6115821871.630543 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1209 b/reduced-wall-cost/1209 new file mode 100644 index 00000000..821f795b --- /dev/null +++ b/reduced-wall-cost/1209 @@ -0,0 +1,5 @@ +91 +122 +5.0 +6200575871.630543 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/121 b/reduced-wall-cost/121 new file mode 100644 index 00000000..8a245d02 --- /dev/null +++ b/reduced-wall-cost/121 @@ -0,0 +1,5 @@ +0 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\ No newline at end of file diff --git a/reduced-wall-cost/1214 b/reduced-wall-cost/1214 new file mode 100644 index 00000000..6fd666b9 --- /dev/null +++ b/reduced-wall-cost/1214 @@ -0,0 +1,5 @@ +91 +132 +2.5 +5911572120.60474 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1215 b/reduced-wall-cost/1215 new file mode 100644 index 00000000..a36dcca9 --- /dev/null +++ b/reduced-wall-cost/1215 @@ -0,0 +1,5 @@ +91 +132 +3.0 +6023666120.60474 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1216 b/reduced-wall-cost/1216 new file mode 100644 index 00000000..7a46a8fd --- /dev/null +++ b/reduced-wall-cost/1216 @@ -0,0 +1,5 @@ +91 +132 +3.5 +6135760120.60474 +784658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1217 b/reduced-wall-cost/1217 new file mode 100644 index 00000000..ef2c2532 --- /dev/null +++ b/reduced-wall-cost/1217 @@ -0,0 +1,5 @@ +91 +132 +4.0 +6247854120.60474 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1218 b/reduced-wall-cost/1218 new file mode 100644 index 00000000..63c76169 --- /dev/null +++ b/reduced-wall-cost/1218 @@ -0,0 +1,5 @@ +91 +132 +4.5 +6359948120.60474 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1219 b/reduced-wall-cost/1219 new file mode 100644 index 00000000..4742ae93 --- /dev/null +++ b/reduced-wall-cost/1219 @@ -0,0 +1,5 @@ +91 +132 +5.0 +6472042120.60474 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/122 b/reduced-wall-cost/122 new file mode 100644 index 00000000..5a3e8e4a --- /dev/null +++ b/reduced-wall-cost/122 @@ -0,0 +1,5 @@ +0 +122 +1.5 +5037834371.723448 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1220 b/reduced-wall-cost/1220 new file mode 100644 index 00000000..c4feaf2e --- /dev/null +++ b/reduced-wall-cost/1220 @@ -0,0 +1,5 @@ +91 +142 +0.5 +5434090400.708982 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1221 b/reduced-wall-cost/1221 new file mode 100644 index 00000000..9b935ebf --- /dev/null +++ b/reduced-wall-cost/1221 @@ -0,0 +1,5 @@ +91 +142 +1.0 +5563039070.572875 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1222 b/reduced-wall-cost/1222 new file mode 100644 index 00000000..e7a9770f --- /dev/null +++ b/reduced-wall-cost/1222 @@ -0,0 +1,5 @@ +91 +142 +1.5 +5703244614.524107 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1223 b/reduced-wall-cost/1223 new file mode 100644 index 00000000..c2d0b603 --- /dev/null +++ b/reduced-wall-cost/1223 @@ -0,0 +1,5 @@ +91 +142 +2.0 +5842678614.524107 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1224 b/reduced-wall-cost/1224 new file mode 100644 index 00000000..a482be09 --- /dev/null +++ b/reduced-wall-cost/1224 @@ -0,0 +1,5 @@ +91 +142 +2.5 +5982112614.524107 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1225 b/reduced-wall-cost/1225 new file mode 100644 index 00000000..bca53f30 --- /dev/null +++ b/reduced-wall-cost/1225 @@ -0,0 +1,5 @@ +91 +142 +3.0 +6121546614.524107 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1226 b/reduced-wall-cost/1226 new file mode 100644 index 00000000..10badbea --- /dev/null +++ b/reduced-wall-cost/1226 @@ -0,0 +1,5 @@ +91 +142 +3.5 +6260980614.524107 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1227 b/reduced-wall-cost/1227 new file mode 100644 index 00000000..6f75bd74 --- /dev/null +++ b/reduced-wall-cost/1227 @@ -0,0 +1,5 @@ +91 +142 +4.0 +6400414614.524107 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1228 b/reduced-wall-cost/1228 new file mode 100644 index 00000000..2bb67370 --- /dev/null +++ b/reduced-wall-cost/1228 @@ -0,0 +1,5 @@ +91 +142 +4.5 +6539848614.524107 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1229 b/reduced-wall-cost/1229 new file mode 100644 index 00000000..50286aa2 --- 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-0,0 +1,5 @@ +91 +152 +1.5 +5596494017.835052 +500322000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1233 b/reduced-wall-cost/1233 new file mode 100644 index 00000000..0908ad55 --- /dev/null +++ b/reduced-wall-cost/1233 @@ -0,0 +1,5 @@ +91 +152 +2.0 +5763253489.718794 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1234 b/reduced-wall-cost/1234 new file mode 100644 index 00000000..f68792bc --- /dev/null +++ b/reduced-wall-cost/1234 @@ -0,0 +1,5 @@ +91 +152 +2.5 +5930027489.718794 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1235 b/reduced-wall-cost/1235 new file mode 100644 index 00000000..c3fb2f9a --- /dev/null +++ b/reduced-wall-cost/1235 @@ -0,0 +1,5 @@ +91 +152 +3.0 +6096801489.718794 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1236 b/reduced-wall-cost/1236 new file mode 100644 index 00000000..04410d24 --- /dev/null +++ b/reduced-wall-cost/1236 @@ -0,0 +1,5 @@ +91 +152 +3.5 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newline at end of file diff --git a/reduced-wall-cost/1240 b/reduced-wall-cost/1240 new file mode 100644 index 00000000..1f3fff36 --- /dev/null +++ b/reduced-wall-cost/1240 @@ -0,0 +1,5 @@ +91 +163 +0.5 +4932541963.252466 +196848000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1241 b/reduced-wall-cost/1241 new file mode 100644 index 00000000..50e43134 --- /dev/null +++ b/reduced-wall-cost/1241 @@ -0,0 +1,5 @@ +91 +163 +1.0 +5006969035.919182 +393696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1242 b/reduced-wall-cost/1242 new file mode 100644 index 00000000..9db20a14 --- /dev/null +++ b/reduced-wall-cost/1242 @@ -0,0 +1,5 @@ +91 +163 +1.5 +5107899092.733302 +590544000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1243 b/reduced-wall-cost/1243 new file mode 100644 index 00000000..9614f7bf --- /dev/null +++ b/reduced-wall-cost/1243 @@ -0,0 +1,5 @@ +91 +163 +2.0 +5160339058.404065 +787392000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1244 b/reduced-wall-cost/1244 new file mode 100644 index 00000000..ec67a8d2 --- /dev/null +++ b/reduced-wall-cost/1244 @@ -0,0 +1,5 @@ +91 +163 +2.5 +5357187058.404065 +984240000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1245 b/reduced-wall-cost/1245 new file mode 100644 index 00000000..5b4f6793 --- /dev/null +++ b/reduced-wall-cost/1245 @@ -0,0 +1,5 @@ +91 +163 +3.0 +5554035058.404065 +1181088000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1246 b/reduced-wall-cost/1246 new file mode 100644 index 00000000..f17d47ac --- /dev/null +++ b/reduced-wall-cost/1246 @@ -0,0 +1,5 @@ +91 +163 +3.5 +5750883058.404065 +1377936000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1247 b/reduced-wall-cost/1247 new file mode 100644 index 00000000..d2e40a18 --- /dev/null +++ b/reduced-wall-cost/1247 @@ -0,0 +1,5 @@ +91 +163 +4.0 +5947731058.404065 +1574784000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1248 b/reduced-wall-cost/1248 new file mode 100644 index 00000000..0f688e06 --- /dev/null +++ b/reduced-wall-cost/1248 @@ -0,0 +1,5 @@ +91 +163 +4.5 +6144579058.404065 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1249 b/reduced-wall-cost/1249 new file mode 100644 index 00000000..6bb7469c --- /dev/null +++ b/reduced-wall-cost/1249 @@ -0,0 +1,5 @@ +91 +163 +5.0 +6341427058.404065 +1968480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/125 b/reduced-wall-cost/125 new file mode 100644 index 00000000..acf7277a --- /dev/null +++ b/reduced-wall-cost/125 @@ -0,0 +1,5 @@ +0 +122 +3.0 +3773054293.1220007 +2001288000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1250 b/reduced-wall-cost/1250 new file mode 100644 index 00000000..c94e5e99 --- /dev/null +++ b/reduced-wall-cost/1250 @@ -0,0 +1,5 @@ +101 +101 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1251 b/reduced-wall-cost/1251 new file mode 100644 index 00000000..18ee4420 --- /dev/null +++ b/reduced-wall-cost/1251 @@ -0,0 +1,5 @@ +101 +101 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1252 b/reduced-wall-cost/1252 new file mode 100644 index 00000000..bc318505 --- /dev/null +++ b/reduced-wall-cost/1252 @@ -0,0 +1,5 @@ +101 +101 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1253 b/reduced-wall-cost/1253 new file mode 100644 index 00000000..38930999 --- /dev/null +++ b/reduced-wall-cost/1253 @@ -0,0 +1,5 @@ +101 +101 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1254 b/reduced-wall-cost/1254 new file mode 100644 index 00000000..b2dccd95 --- /dev/null +++ b/reduced-wall-cost/1254 @@ -0,0 +1,5 @@ +101 +101 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1255 b/reduced-wall-cost/1255 new file mode 100644 index 00000000..2f961a64 --- /dev/null +++ b/reduced-wall-cost/1255 @@ -0,0 +1,5 @@ +101 +101 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1256 b/reduced-wall-cost/1256 new file mode 100644 index 00000000..b96a3f59 --- /dev/null +++ b/reduced-wall-cost/1256 @@ -0,0 +1,5 @@ +101 +101 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1257 b/reduced-wall-cost/1257 new file mode 100644 index 00000000..cef72761 --- /dev/null +++ b/reduced-wall-cost/1257 @@ -0,0 +1,5 @@ +101 +101 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1258 b/reduced-wall-cost/1258 new file mode 100644 index 00000000..0484fd60 --- /dev/null +++ b/reduced-wall-cost/1258 @@ -0,0 +1,5 @@ +101 +101 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1259 b/reduced-wall-cost/1259 new file mode 100644 index 00000000..881f96d2 --- /dev/null +++ b/reduced-wall-cost/1259 @@ -0,0 +1,5 @@ +101 +101 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/126 b/reduced-wall-cost/126 new file mode 100644 index 00000000..33ea135e --- /dev/null +++ b/reduced-wall-cost/126 @@ -0,0 +1,5 @@ +0 +122 +3.5 +3952695546.422626 +2334836000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1260 b/reduced-wall-cost/1260 new file mode 100644 index 00000000..a6228657 --- /dev/null +++ b/reduced-wall-cost/1260 @@ -0,0 +1,5 @@ +101 +112 +0.5 +5385187112.605607 +30074000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1261 b/reduced-wall-cost/1261 new file mode 100644 index 00000000..fb9d4038 --- /dev/null +++ b/reduced-wall-cost/1261 @@ -0,0 +1,5 @@ +101 +112 +1.0 +5415154386.351602 +60148000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1262 b/reduced-wall-cost/1262 new file mode 100644 index 00000000..6f04f679 --- /dev/null +++ b/reduced-wall-cost/1262 @@ -0,0 +1,5 @@ +101 +112 +1.5 +5445224734.435581 +90222000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1263 b/reduced-wall-cost/1263 new file mode 100644 index 00000000..5e06bb6c --- /dev/null +++ b/reduced-wall-cost/1263 @@ -0,0 +1,5 @@ +101 +112 +2.0 +5475298734.435581 +120296000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1264 b/reduced-wall-cost/1264 new file mode 100644 index 00000000..6c4bff6f --- /dev/null +++ b/reduced-wall-cost/1264 @@ -0,0 +1,5 @@ +101 +112 +2.5 +5505372734.435581 +150370000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1265 b/reduced-wall-cost/1265 new file mode 100644 index 00000000..53a23196 --- /dev/null +++ b/reduced-wall-cost/1265 @@ -0,0 +1,5 @@ +101 +112 +3.0 +5535446734.435581 +180444000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1266 b/reduced-wall-cost/1266 new file mode 100644 index 00000000..ae0fe8a0 --- /dev/null +++ b/reduced-wall-cost/1266 @@ -0,0 +1,5 @@ +101 +112 +3.5 +5565520734.435581 +210518000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1267 b/reduced-wall-cost/1267 new file mode 100644 index 00000000..a409a0e4 --- /dev/null +++ b/reduced-wall-cost/1267 @@ -0,0 +1,5 @@ +101 +112 +4.0 +5595594734.435581 +240592000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1268 b/reduced-wall-cost/1268 new file mode 100644 index 00000000..94c56f42 --- /dev/null +++ b/reduced-wall-cost/1268 @@ -0,0 +1,5 @@ +101 +112 +4.5 +5625668734.435581 +270666000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1269 b/reduced-wall-cost/1269 new file mode 100644 index 00000000..58a6b08b --- /dev/null +++ b/reduced-wall-cost/1269 @@ -0,0 +1,5 @@ +101 +112 +5.0 +5655742734.435581 +300740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/127 b/reduced-wall-cost/127 new file mode 100644 index 00000000..64164ec9 --- /dev/null +++ b/reduced-wall-cost/127 @@ -0,0 +1,5 @@ +0 +122 +4.0 +4286243546.422626 +2668384000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1270 b/reduced-wall-cost/1270 new file mode 100644 index 00000000..d6c7827b --- /dev/null +++ b/reduced-wall-cost/1270 @@ -0,0 +1,5 @@ +101 +122 +0.5 +5410630131.336165 +57414000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1271 b/reduced-wall-cost/1271 new file mode 100644 index 00000000..7c084856 --- /dev/null +++ b/reduced-wall-cost/1271 @@ -0,0 +1,5 @@ +101 +122 +1.0 +5467890916.47474 +114828000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1272 b/reduced-wall-cost/1272 new file mode 100644 index 00000000..bb879c77 --- /dev/null +++ b/reduced-wall-cost/1272 @@ -0,0 +1,5 @@ +101 +122 +1.5 +5525277871.630543 +172242000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1273 b/reduced-wall-cost/1273 new file mode 100644 index 00000000..c56b231e --- /dev/null +++ b/reduced-wall-cost/1273 @@ -0,0 +1,5 @@ +101 +122 +2.0 +5582691871.630543 +229656000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1274 b/reduced-wall-cost/1274 new file mode 100644 index 00000000..dfd15895 --- /dev/null +++ b/reduced-wall-cost/1274 @@ -0,0 +1,5 @@ +101 +122 +2.5 +5640105871.630543 +287070000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1275 b/reduced-wall-cost/1275 new file mode 100644 index 00000000..8c2f559f --- /dev/null +++ b/reduced-wall-cost/1275 @@ -0,0 +1,5 @@ +101 +122 +3.0 +5697519871.630543 +344484000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1276 b/reduced-wall-cost/1276 new file mode 100644 index 00000000..4f4bea10 --- /dev/null +++ b/reduced-wall-cost/1276 @@ -0,0 +1,5 @@ +101 +122 +3.5 +5754933871.630543 +401898000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1277 b/reduced-wall-cost/1277 new file mode 100644 index 00000000..fd57fcfe --- /dev/null +++ b/reduced-wall-cost/1277 @@ -0,0 +1,5 @@ +101 +122 +4.0 +5812347871.630543 +459312000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1278 b/reduced-wall-cost/1278 new file mode 100644 index 00000000..91e2f80f --- /dev/null +++ b/reduced-wall-cost/1278 @@ -0,0 +1,5 @@ +101 +122 +4.5 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newline at end of file diff --git a/reduced-wall-cost/1282 b/reduced-wall-cost/1282 new file mode 100644 index 00000000..d558a979 --- /dev/null +++ b/reduced-wall-cost/1282 @@ -0,0 +1,5 @@ +101 +132 +1.5 +5605364120.60474 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1283 b/reduced-wall-cost/1283 new file mode 100644 index 00000000..2a24daaf --- /dev/null +++ b/reduced-wall-cost/1283 @@ -0,0 +1,5 @@ +101 +132 +2.0 +5690118120.60474 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1284 b/reduced-wall-cost/1284 new file mode 100644 index 00000000..876c0adb --- /dev/null +++ b/reduced-wall-cost/1284 @@ -0,0 +1,5 @@ +101 +132 +2.5 +5774872120.60474 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1285 b/reduced-wall-cost/1285 new file mode 100644 index 00000000..eb340ab3 --- /dev/null +++ b/reduced-wall-cost/1285 @@ -0,0 +1,5 @@ +101 +132 +3.0 +5859626120.60474 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1286 b/reduced-wall-cost/1286 new file mode 100644 index 00000000..f711fcfa --- /dev/null +++ b/reduced-wall-cost/1286 @@ -0,0 +1,5 @@ +101 +132 +3.5 +5944380120.60474 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1287 b/reduced-wall-cost/1287 new file mode 100644 index 00000000..af0e8517 --- /dev/null +++ b/reduced-wall-cost/1287 @@ -0,0 +1,5 @@ +101 +132 +4.0 +6029134120.60474 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1288 b/reduced-wall-cost/1288 new file mode 100644 index 00000000..39363209 --- /dev/null +++ b/reduced-wall-cost/1288 @@ -0,0 +1,5 @@ +101 +132 +4.5 +6113888120.60474 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1289 b/reduced-wall-cost/1289 new file mode 100644 index 00000000..6bccda72 --- /dev/null +++ b/reduced-wall-cost/1289 @@ -0,0 +1,5 @@ +101 +132 +5.0 +6198642120.60474 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/129 b/reduced-wall-cost/129 new file mode 100644 index 00000000..a34f8159 --- /dev/null +++ b/reduced-wall-cost/129 @@ -0,0 +1,5 @@ +0 +122 +5.0 +4953339546.4226265 +3335480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1290 b/reduced-wall-cost/1290 new file mode 100644 index 00000000..f5d4ed1b --- /dev/null +++ b/reduced-wall-cost/1290 @@ -0,0 +1,5 @@ +101 +142 +0.5 +5406750400.708982 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1291 b/reduced-wall-cost/1291 new file mode 100644 index 00000000..7bdaaa75 --- /dev/null +++ b/reduced-wall-cost/1291 @@ -0,0 +1,5 @@ +101 +142 +1.0 +5508359070.572875 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1292 b/reduced-wall-cost/1292 new file mode 100644 index 00000000..74ef9f1c --- /dev/null +++ b/reduced-wall-cost/1292 @@ -0,0 +1,5 @@ +101 +142 +1.5 +5621224614.524107 +336282000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1293 b/reduced-wall-cost/1293 new file mode 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newline at end of file diff --git a/reduced-wall-cost/1308 b/reduced-wall-cost/1308 new file mode 100644 index 00000000..07269be5 --- /dev/null +++ b/reduced-wall-cost/1308 @@ -0,0 +1,5 @@ +101 +152 +4.5 +6351074846.09263 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1309 b/reduced-wall-cost/1309 new file mode 100644 index 00000000..eeade985 --- /dev/null +++ b/reduced-wall-cost/1309 @@ -0,0 +1,5 @@ +101 +152 +5.0 +6490508846.09263 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/131 b/reduced-wall-cost/131 new file mode 100644 index 00000000..d4af0614 --- /dev/null +++ b/reduced-wall-cost/131 @@ -0,0 +1,5 @@ +0 +132 +1.0 +5582469251.127467 +721776000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1310 b/reduced-wall-cost/1310 new file mode 100644 index 00000000..658d2e10 --- /dev/null +++ b/reduced-wall-cost/1310 @@ -0,0 +1,5 @@ +101 +163 +0.5 +4905201963.252466 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1311 b/reduced-wall-cost/1311 new file mode 100644 index 00000000..d03aeffa --- /dev/null +++ b/reduced-wall-cost/1311 @@ -0,0 +1,5 @@ +101 +163 +1.0 +4952337063.326572 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1312 b/reduced-wall-cost/1312 new file mode 100644 index 00000000..0522e892 --- /dev/null +++ b/reduced-wall-cost/1312 @@ -0,0 +1,5 @@ +101 +163 +1.5 +5025904221.695768 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1313 b/reduced-wall-cost/1313 new file mode 100644 index 00000000..11285e1d --- /dev/null +++ b/reduced-wall-cost/1313 @@ -0,0 +1,5 @@ +101 +163 +2.0 +5051058934.485419 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1314 b/reduced-wall-cost/1314 new file mode 100644 index 00000000..42a02286 --- /dev/null +++ b/reduced-wall-cost/1314 @@ -0,0 +1,5 @@ +101 +163 +2.5 +5220566934.485419 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1315 b/reduced-wall-cost/1315 new file mode 100644 index 00000000..96009e00 --- /dev/null +++ b/reduced-wall-cost/1315 @@ -0,0 +1,5 @@ +101 +163 +3.0 +5390074934.485419 +1017048000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1316 b/reduced-wall-cost/1316 new file mode 100644 index 00000000..1c4f3614 --- /dev/null +++ b/reduced-wall-cost/1316 @@ -0,0 +1,5 @@ +101 +163 +3.5 +5559582934.485419 +1186556000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1317 b/reduced-wall-cost/1317 new file mode 100644 index 00000000..f69db7a8 --- /dev/null +++ b/reduced-wall-cost/1317 @@ -0,0 +1,5 @@ +101 +163 +4.0 +5729090934.485419 +1356064000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1318 b/reduced-wall-cost/1318 new file mode 100644 index 00000000..f84a6dbe --- /dev/null +++ b/reduced-wall-cost/1318 @@ -0,0 +1,5 @@ +101 +163 +4.5 +5898598934.485419 +1525572000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1319 b/reduced-wall-cost/1319 new 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+++ b/reduced-wall-cost/1322 @@ -0,0 +1,5 @@ +112 +112 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1323 b/reduced-wall-cost/1323 new file mode 100644 index 00000000..0d3f990c --- /dev/null +++ b/reduced-wall-cost/1323 @@ -0,0 +1,5 @@ +112 +112 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1324 b/reduced-wall-cost/1324 new file mode 100644 index 00000000..ed26e69b --- /dev/null +++ b/reduced-wall-cost/1324 @@ -0,0 +1,5 @@ +112 +112 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1325 b/reduced-wall-cost/1325 new file mode 100644 index 00000000..1543764e --- /dev/null +++ b/reduced-wall-cost/1325 @@ -0,0 +1,5 @@ +112 +112 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1326 b/reduced-wall-cost/1326 new file mode 100644 index 00000000..acdf9ce6 --- /dev/null +++ b/reduced-wall-cost/1326 @@ -0,0 +1,5 @@ +112 +112 +3.5 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a/reduced-wall-cost/1330 b/reduced-wall-cost/1330 new file mode 100644 index 00000000..1781e142 --- /dev/null +++ b/reduced-wall-cost/1330 @@ -0,0 +1,5 @@ +112 +122 +0.5 +5414594869.111425 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1331 b/reduced-wall-cost/1331 new file mode 100644 index 00000000..c095eab3 --- /dev/null +++ b/reduced-wall-cost/1331 @@ -0,0 +1,5 @@ +112 +122 +1.0 +5441933328.000369 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1332 b/reduced-wall-cost/1332 new file mode 100644 index 00000000..2b33c0ff --- /dev/null +++ b/reduced-wall-cost/1332 @@ -0,0 +1,5 @@ +112 +122 +1.5 +5469273328.000369 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1333 b/reduced-wall-cost/1333 new file mode 100644 index 00000000..4e11fab3 --- /dev/null +++ b/reduced-wall-cost/1333 @@ -0,0 +1,5 @@ +112 +122 +2.0 +5496613328.000369 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1334 b/reduced-wall-cost/1334 new file mode 100644 index 00000000..088b5e2c --- /dev/null +++ b/reduced-wall-cost/1334 @@ -0,0 +1,5 @@ +112 +122 +2.5 +5523953328.000369 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1335 b/reduced-wall-cost/1335 new file mode 100644 index 00000000..b29ed89e --- /dev/null +++ b/reduced-wall-cost/1335 @@ -0,0 +1,5 @@ +112 +122 +3.0 +5551293328.000369 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1336 b/reduced-wall-cost/1336 new file mode 100644 index 00000000..30bdc5db --- /dev/null +++ b/reduced-wall-cost/1336 @@ -0,0 +1,5 @@ +112 +122 +3.5 +5578633328.000369 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1337 b/reduced-wall-cost/1337 new file mode 100644 index 00000000..dc34f376 --- /dev/null +++ b/reduced-wall-cost/1337 @@ -0,0 +1,5 @@ +112 +122 +4.0 +5605973328.000369 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1338 b/reduced-wall-cost/1338 new file mode 100644 index 00000000..1a3a99ca --- /dev/null +++ b/reduced-wall-cost/1338 @@ -0,0 +1,5 @@ +112 +122 +4.5 +5633313328.000369 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1339 b/reduced-wall-cost/1339 new file mode 100644 index 00000000..098086c4 --- /dev/null +++ b/reduced-wall-cost/1339 @@ -0,0 +1,5 @@ +112 +122 +5.0 +5660653328.000369 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/134 b/reduced-wall-cost/134 new file mode 100644 index 00000000..9b821ca4 --- /dev/null +++ b/reduced-wall-cost/134 @@ -0,0 +1,5 @@ +0 +132 +2.5 +3649330849.494802 +1804440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1340 b/reduced-wall-cost/1340 new file mode 100644 index 00000000..5d4b6851 --- /dev/null +++ b/reduced-wall-cost/1340 @@ -0,0 +1,5 @@ +112 +132 +0.5 +5440335847.118484 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1341 b/reduced-wall-cost/1341 new file mode 100644 index 00000000..ba6461e9 --- /dev/null +++ b/reduced-wall-cost/1341 @@ -0,0 +1,5 @@ +112 +132 +1.0 +5495014198.144024 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1342 b/reduced-wall-cost/1342 new file mode 100644 index 00000000..60ec6c45 --- /dev/null +++ b/reduced-wall-cost/1342 @@ -0,0 +1,5 @@ +112 +132 +1.5 +5549694198.144024 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1343 b/reduced-wall-cost/1343 new file mode 100644 index 00000000..ae3e0e5c --- /dev/null +++ b/reduced-wall-cost/1343 @@ -0,0 +1,5 @@ +112 +132 +2.0 +5604374198.144024 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1344 b/reduced-wall-cost/1344 new file mode 100644 index 00000000..b280f669 --- /dev/null +++ b/reduced-wall-cost/1344 @@ -0,0 +1,5 @@ +112 +132 +2.5 +5659054198.144024 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1345 b/reduced-wall-cost/1345 new file mode 100644 index 00000000..6d0a9e42 --- /dev/null +++ b/reduced-wall-cost/1345 @@ -0,0 +1,5 @@ +112 +132 +3.0 +5713734198.144024 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1346 b/reduced-wall-cost/1346 new file mode 100644 index 00000000..d3cf6f53 --- /dev/null +++ b/reduced-wall-cost/1346 @@ -0,0 +1,5 @@ +112 +132 +3.5 +5768414198.144024 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1347 b/reduced-wall-cost/1347 new file mode 100644 index 00000000..bb24e7f1 --- /dev/null +++ b/reduced-wall-cost/1347 @@ -0,0 +1,5 @@ +112 +132 +4.0 +5823094198.144024 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1348 b/reduced-wall-cost/1348 new file mode 100644 index 00000000..0b281699 --- /dev/null +++ b/reduced-wall-cost/1348 @@ -0,0 +1,5 @@ +112 +132 +4.5 +5877774198.144024 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1349 b/reduced-wall-cost/1349 new file mode 100644 index 00000000..a3a5ff4f --- /dev/null +++ b/reduced-wall-cost/1349 @@ -0,0 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newline at end of file diff --git a/reduced-wall-cost/1357 b/reduced-wall-cost/1357 new file mode 100644 index 00000000..318f304e --- /dev/null +++ b/reduced-wall-cost/1357 @@ -0,0 +1,5 @@ +112 +142 +4.0 +5987098720.165182 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1358 b/reduced-wall-cost/1358 new file mode 100644 index 00000000..51e30644 --- /dev/null +++ b/reduced-wall-cost/1358 @@ -0,0 +1,5 @@ +112 +142 +4.5 +6069118720.165182 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1359 b/reduced-wall-cost/1359 new file mode 100644 index 00000000..fd22792c --- /dev/null +++ b/reduced-wall-cost/1359 @@ -0,0 +1,5 @@ +112 +142 +5.0 +6151138720.165182 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/136 b/reduced-wall-cost/136 new file mode 100644 index 00000000..a64b8fc7 --- /dev/null +++ b/reduced-wall-cost/136 @@ -0,0 +1,5 @@ +0 +132 +3.5 +4110046091.3195224 +2526216000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1360 b/reduced-wall-cost/1360 new file mode 100644 index 00000000..87b1c47d --- /dev/null +++ b/reduced-wall-cost/1360 @@ -0,0 +1,5 @@ +112 +152 +0.5 +5314307623.555422 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1361 b/reduced-wall-cost/1361 new file mode 100644 index 00000000..b7fa70bc --- /dev/null +++ b/reduced-wall-cost/1361 @@ -0,0 +1,5 @@ +112 +152 +1.0 +5397308205.981189 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1362 b/reduced-wall-cost/1362 new file mode 100644 index 00000000..df8c87cc --- /dev/null +++ b/reduced-wall-cost/1362 @@ -0,0 +1,5 @@ +112 +152 +1.5 +5506553361.776984 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1363 b/reduced-wall-cost/1363 new file mode 100644 index 00000000..38b96c49 --- /dev/null +++ b/reduced-wall-cost/1363 @@ -0,0 +1,5 @@ +112 +152 +2.0 +5615913361.776984 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1364 b/reduced-wall-cost/1364 new file mode 100644 index 00000000..feab7240 --- /dev/null +++ b/reduced-wall-cost/1364 @@ -0,0 +1,5 @@ +112 +152 +2.5 +5725273361.776984 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1365 b/reduced-wall-cost/1365 new file mode 100644 index 00000000..d090a1a3 --- /dev/null +++ b/reduced-wall-cost/1365 @@ -0,0 +1,5 @@ +112 +152 +3.0 +5834633361.776984 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1366 b/reduced-wall-cost/1366 new file mode 100644 index 00000000..88dd48ff --- /dev/null +++ b/reduced-wall-cost/1366 @@ -0,0 +1,5 @@ +112 +152 +3.5 +5943993361.776984 +765520000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1367 b/reduced-wall-cost/1367 new file mode 100644 index 00000000..c2ed99e4 --- /dev/null +++ b/reduced-wall-cost/1367 @@ -0,0 +1,5 @@ +112 +152 +4.0 +6053353361.776984 +874880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1368 b/reduced-wall-cost/1368 new file 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--- /dev/null +++ b/reduced-wall-cost/1371 @@ -0,0 +1,5 @@ +112 +163 +1.0 +5062638963.919367 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1372 b/reduced-wall-cost/1372 new file mode 100644 index 00000000..9d95a4c0 --- /dev/null +++ b/reduced-wall-cost/1372 @@ -0,0 +1,5 @@ +112 +163 +1.5 +5117207912.954317 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1373 b/reduced-wall-cost/1373 new file mode 100644 index 00000000..74b3373c --- /dev/null +++ b/reduced-wall-cost/1373 @@ -0,0 +1,5 @@ +112 +163 +2.0 +5113818880.150224 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1374 b/reduced-wall-cost/1374 new file mode 100644 index 00000000..762c049f --- /dev/null +++ b/reduced-wall-cost/1374 @@ -0,0 +1,5 @@ +112 +163 +2.5 +5253252880.150224 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1375 b/reduced-wall-cost/1375 new file mode 100644 index 00000000..6ff33e43 --- /dev/null +++ b/reduced-wall-cost/1375 @@ -0,0 +1,5 @@ +112 +163 +3.0 +5392686880.150224 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1376 b/reduced-wall-cost/1376 new file mode 100644 index 00000000..804ba989 --- /dev/null +++ b/reduced-wall-cost/1376 @@ -0,0 +1,5 @@ +112 +163 +3.5 +5532120880.150224 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1377 b/reduced-wall-cost/1377 new file mode 100644 index 00000000..f5124eb3 --- /dev/null +++ b/reduced-wall-cost/1377 @@ -0,0 +1,5 @@ +112 +163 +4.0 +5671554880.150224 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1378 b/reduced-wall-cost/1378 new file mode 100644 index 00000000..46c4f737 --- /dev/null +++ b/reduced-wall-cost/1378 @@ -0,0 +1,5 @@ +112 +163 +4.5 +5810988880.150224 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1379 b/reduced-wall-cost/1379 new file mode 100644 index 00000000..1c62b045 --- /dev/null +++ b/reduced-wall-cost/1379 @@ -0,0 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newline at end of file diff --git a/reduced-wall-cost/1383 b/reduced-wall-cost/1383 new file mode 100644 index 00000000..2170542a --- /dev/null +++ b/reduced-wall-cost/1383 @@ -0,0 +1,5 @@ +122 +122 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1384 b/reduced-wall-cost/1384 new file mode 100644 index 00000000..2788ac36 --- /dev/null +++ b/reduced-wall-cost/1384 @@ -0,0 +1,5 @@ +122 +122 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1385 b/reduced-wall-cost/1385 new file mode 100644 index 00000000..3ffb34a4 --- /dev/null +++ b/reduced-wall-cost/1385 @@ -0,0 +1,5 @@ +122 +122 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1386 b/reduced-wall-cost/1386 new file mode 100644 index 00000000..8f9bcd3f --- /dev/null +++ b/reduced-wall-cost/1386 @@ -0,0 +1,5 @@ +122 +122 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1387 b/reduced-wall-cost/1387 new file mode 100644 index 00000000..1a803176 --- /dev/null +++ b/reduced-wall-cost/1387 @@ -0,0 +1,5 @@ +122 +122 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1388 b/reduced-wall-cost/1388 new file mode 100644 index 00000000..f3e67faf --- /dev/null +++ b/reduced-wall-cost/1388 @@ -0,0 +1,5 @@ +122 +122 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1389 b/reduced-wall-cost/1389 new file mode 100644 index 00000000..7bccee8d --- /dev/null +++ b/reduced-wall-cost/1389 @@ -0,0 +1,5 @@ +122 +122 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/139 b/reduced-wall-cost/139 new file mode 100644 index 00000000..104fbb4c --- /dev/null +++ b/reduced-wall-cost/139 @@ -0,0 +1,5 @@ +0 +132 +5.0 +5192710091.319524 +3608880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1390 b/reduced-wall-cost/1390 new file mode 100644 index 00000000..c8327bc2 --- /dev/null +++ b/reduced-wall-cost/1390 @@ -0,0 +1,5 @@ +122 +132 +0.5 +5414644245.781963 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1391 b/reduced-wall-cost/1391 new file mode 100644 index 00000000..6b4c925c --- /dev/null +++ b/reduced-wall-cost/1391 @@ -0,0 +1,5 @@ +122 +132 +1.0 +5441984245.781963 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1392 b/reduced-wall-cost/1392 new file mode 100644 index 00000000..b195054b --- /dev/null +++ b/reduced-wall-cost/1392 @@ -0,0 +1,5 @@ +122 +132 +1.5 +5469324245.781963 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1393 b/reduced-wall-cost/1393 new file mode 100644 index 00000000..ba546a6c --- /dev/null +++ b/reduced-wall-cost/1393 @@ -0,0 +1,5 @@ +122 +132 +2.0 +5496664245.781963 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1394 b/reduced-wall-cost/1394 new file mode 100644 index 00000000..33c061e5 --- /dev/null +++ b/reduced-wall-cost/1394 @@ -0,0 +1,5 @@ +122 +132 +2.5 +5524004245.781963 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1395 b/reduced-wall-cost/1395 new file mode 100644 index 00000000..6f3b6051 --- /dev/null +++ b/reduced-wall-cost/1395 @@ -0,0 +1,5 @@ +122 +132 +3.0 +5551344245.781963 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1396 b/reduced-wall-cost/1396 new file mode 100644 index 00000000..e779bbcc --- /dev/null +++ b/reduced-wall-cost/1396 @@ -0,0 +1,5 @@ +122 +132 +3.5 +5578684245.781963 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1397 b/reduced-wall-cost/1397 new file mode 100644 index 00000000..be5321db --- /dev/null +++ b/reduced-wall-cost/1397 @@ -0,0 +1,5 @@ +122 +132 +4.0 +5606024245.781963 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1398 b/reduced-wall-cost/1398 new file mode 100644 index 00000000..bf262dd9 --- /dev/null +++ b/reduced-wall-cost/1398 @@ -0,0 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+54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1401 b/reduced-wall-cost/1401 new file mode 100644 index 00000000..12c2eebd --- /dev/null +++ b/reduced-wall-cost/1401 @@ -0,0 +1,5 @@ +122 +142 +1.0 +5448200626.558096 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1402 b/reduced-wall-cost/1402 new file mode 100644 index 00000000..ead5edd5 --- /dev/null +++ b/reduced-wall-cost/1402 @@ -0,0 +1,5 @@ +122 +142 +1.5 +5502878636.710431 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1403 b/reduced-wall-cost/1403 new file mode 100644 index 00000000..d017648c --- /dev/null +++ b/reduced-wall-cost/1403 @@ -0,0 +1,5 @@ +122 +142 +2.0 +5557558636.710431 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1404 b/reduced-wall-cost/1404 new file mode 100644 index 00000000..353cf502 --- /dev/null +++ b/reduced-wall-cost/1404 @@ -0,0 +1,5 @@ +122 +142 +2.5 +5612238636.710431 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1405 b/reduced-wall-cost/1405 new file mode 100644 index 00000000..92e795d6 --- /dev/null +++ b/reduced-wall-cost/1405 @@ -0,0 +1,5 @@ +122 +142 +3.0 +5666918636.710431 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1406 b/reduced-wall-cost/1406 new file mode 100644 index 00000000..669547fb --- /dev/null +++ b/reduced-wall-cost/1406 @@ -0,0 +1,5 @@ +122 +142 +3.5 +5721598636.710431 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1407 b/reduced-wall-cost/1407 new file mode 100644 index 00000000..00383fbe --- /dev/null +++ b/reduced-wall-cost/1407 @@ -0,0 +1,5 @@ +122 +142 +4.0 +5776278636.710431 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1408 b/reduced-wall-cost/1408 new file mode 100644 index 00000000..d3d7befb --- /dev/null +++ b/reduced-wall-cost/1408 @@ -0,0 +1,5 @@ +122 +142 +4.5 +5830958636.710431 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1409 b/reduced-wall-cost/1409 new file mode 100644 index 00000000..b75defa1 --- /dev/null +++ b/reduced-wall-cost/1409 @@ -0,0 +1,5 @@ +122 +142 +5.0 +5885638636.710431 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/141 b/reduced-wall-cost/141 new file mode 100644 index 00000000..821ec56a --- /dev/null +++ b/reduced-wall-cost/141 @@ -0,0 +1,5 @@ +0 +142 +1.0 +5564168081.680797 +776456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1410 b/reduced-wall-cost/1410 new file mode 100644 index 00000000..ac5f955e --- /dev/null +++ b/reduced-wall-cost/1410 @@ -0,0 +1,5 @@ +122 +152 +0.5 +5298573106.927316 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1411 b/reduced-wall-cost/1411 new file mode 100644 index 00000000..71ab3e73 --- /dev/null +++ b/reduced-wall-cost/1411 @@ -0,0 +1,5 @@ +122 +152 +1.0 +5353529119.648096 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1412 b/reduced-wall-cost/1412 new file mode 100644 index 00000000..63c66f0c --- /dev/null +++ b/reduced-wall-cost/1412 @@ -0,0 +1,5 @@ +122 +152 +1.5 +5435525238.257993 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1413 b/reduced-wall-cost/1413 new file mode 100644 index 00000000..286a6a6f --- /dev/null +++ b/reduced-wall-cost/1413 @@ -0,0 +1,5 @@ +122 +152 +2.0 +5517545238.257993 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1414 b/reduced-wall-cost/1414 new file mode 100644 index 00000000..18ae35cc --- /dev/null +++ b/reduced-wall-cost/1414 @@ -0,0 +1,5 @@ +122 +152 +2.5 +5599565238.257993 +410100000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1415 b/reduced-wall-cost/1415 new file mode 100644 index 00000000..068e4b9c --- /dev/null +++ b/reduced-wall-cost/1415 @@ -0,0 +1,5 @@ +122 +152 +3.0 +5681585238.257993 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1416 b/reduced-wall-cost/1416 new file mode 100644 index 00000000..891ab20a --- /dev/null +++ b/reduced-wall-cost/1416 @@ -0,0 +1,5 @@ +122 +152 +3.5 +5763605238.257993 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1417 b/reduced-wall-cost/1417 new file mode 100644 index 00000000..6feb788d --- /dev/null +++ b/reduced-wall-cost/1417 @@ -0,0 +1,5 @@ +122 +152 +4.0 +5845625238.257993 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1418 b/reduced-wall-cost/1418 new file mode 100644 index 00000000..47def39d --- /dev/null +++ b/reduced-wall-cost/1418 @@ -0,0 +1,5 @@ +122 +152 +4.5 +5927645238.257993 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1419 b/reduced-wall-cost/1419 new file mode 100644 index 00000000..53a96922 --- /dev/null +++ b/reduced-wall-cost/1419 @@ -0,0 +1,5 @@ +122 +152 +5.0 +6009665238.257993 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/142 b/reduced-wall-cost/142 new file mode 100644 index 00000000..7c813cbe --- /dev/null +++ b/reduced-wall-cost/142 @@ -0,0 +1,5 @@ +0 +142 +1.5 +5109290243.82635 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1420 b/reduced-wall-cost/1420 new file mode 100644 index 00000000..2c5962d2 --- /dev/null +++ b/reduced-wall-cost/1420 @@ -0,0 +1,5 @@ +122 +163 +0.5 +4992392392.020211 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1421 b/reduced-wall-cost/1421 new file mode 100644 index 00000000..4ce84195 --- /dev/null +++ b/reduced-wall-cost/1421 @@ -0,0 +1,5 @@ +122 +163 +1.0 +5055236027.857057 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1422 b/reduced-wall-cost/1422 new file mode 100644 index 00000000..cfd2bbb3 --- /dev/null +++ b/reduced-wall-cost/1422 @@ -0,0 +1,5 @@ +122 +163 +1.5 +5105741508.1786785 +336282000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1423 b/reduced-wall-cost/1423 new file mode 100644 index 00000000..0b6dcae0 --- /dev/null +++ b/reduced-wall-cost/1423 @@ -0,0 +1,5 @@ +122 +163 +2.0 +5075340226.337134 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1424 b/reduced-wall-cost/1424 new file mode 100644 index 00000000..b2dbfc64 --- /dev/null +++ b/reduced-wall-cost/1424 @@ -0,0 +1,5 @@ +122 +163 +2.5 +5187434226.337134 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1425 b/reduced-wall-cost/1425 new file mode 100644 index 00000000..51a81f32 --- /dev/null +++ b/reduced-wall-cost/1425 @@ -0,0 +1,5 @@ +122 +163 +3.0 +5299528226.337134 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1426 b/reduced-wall-cost/1426 new file mode 100644 index 00000000..0f0f2975 --- /dev/null +++ b/reduced-wall-cost/1426 @@ -0,0 +1,5 @@ +122 +163 +3.5 +5411622226.337134 +784658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1427 b/reduced-wall-cost/1427 new file mode 100644 index 00000000..7bb60248 --- /dev/null +++ b/reduced-wall-cost/1427 @@ -0,0 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a/reduced-wall-cost/1435 b/reduced-wall-cost/1435 new file mode 100644 index 00000000..8ed316d4 --- /dev/null +++ b/reduced-wall-cost/1435 @@ -0,0 +1,5 @@ +132 +132 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1436 b/reduced-wall-cost/1436 new file mode 100644 index 00000000..f00df091 --- /dev/null +++ b/reduced-wall-cost/1436 @@ -0,0 +1,5 @@ +132 +132 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1437 b/reduced-wall-cost/1437 new file mode 100644 index 00000000..b4d533f6 --- /dev/null +++ b/reduced-wall-cost/1437 @@ -0,0 +1,5 @@ +132 +132 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1438 b/reduced-wall-cost/1438 new file mode 100644 index 00000000..4c1cc538 --- /dev/null +++ b/reduced-wall-cost/1438 @@ -0,0 +1,5 @@ +132 +132 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1439 b/reduced-wall-cost/1439 new file mode 100644 index 00000000..15a52114 --- /dev/null +++ b/reduced-wall-cost/1439 @@ -0,0 +1,5 @@ +132 +132 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/144 b/reduced-wall-cost/144 new file mode 100644 index 00000000..fd269ab2 --- /dev/null +++ b/reduced-wall-cost/144 @@ -0,0 +1,5 @@ +0 +142 +2.5 +3674352784.98227 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1440 b/reduced-wall-cost/1440 new file mode 100644 index 00000000..8c7b84a9 --- /dev/null +++ b/reduced-wall-cost/1440 @@ -0,0 +1,5 @@ +132 +142 +0.5 +5375080790.699989 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1441 b/reduced-wall-cost/1441 new file mode 100644 index 00000000..fa73fd71 --- /dev/null +++ b/reduced-wall-cost/1441 @@ -0,0 +1,5 @@ +132 +142 +1.0 +5397424313.4563465 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1442 b/reduced-wall-cost/1442 new file mode 100644 index 00000000..e15e9af7 --- /dev/null +++ b/reduced-wall-cost/1442 @@ -0,0 +1,5 @@ +132 +142 +1.5 +5424763436.064411 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1443 b/reduced-wall-cost/1443 new file mode 100644 index 00000000..4c8977a6 --- /dev/null +++ b/reduced-wall-cost/1443 @@ -0,0 +1,5 @@ +132 +142 +2.0 +5452103436.064411 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1444 b/reduced-wall-cost/1444 new file mode 100644 index 00000000..40bfe713 --- /dev/null +++ b/reduced-wall-cost/1444 @@ -0,0 +1,5 @@ +132 +142 +2.5 +5479443436.064411 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1445 b/reduced-wall-cost/1445 new file mode 100644 index 00000000..58344099 --- /dev/null +++ b/reduced-wall-cost/1445 @@ -0,0 +1,5 @@ +132 +142 +3.0 +5506783436.064411 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1446 b/reduced-wall-cost/1446 new file mode 100644 index 00000000..671654e9 --- /dev/null +++ b/reduced-wall-cost/1446 @@ -0,0 +1,5 @@ +132 +142 +3.5 +5534123436.064411 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1447 b/reduced-wall-cost/1447 new file mode 100644 index 00000000..80a64915 --- /dev/null +++ b/reduced-wall-cost/1447 @@ -0,0 +1,5 @@ +132 +142 +4.0 +5561463436.064411 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1448 b/reduced-wall-cost/1448 new file mode 100644 index 00000000..2a8c1f7d --- /dev/null +++ b/reduced-wall-cost/1448 @@ -0,0 +1,5 @@ +132 +142 +4.5 +5588803436.064411 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1449 b/reduced-wall-cost/1449 new file mode 100644 index 00000000..9f004bf6 --- /dev/null +++ b/reduced-wall-cost/1449 @@ -0,0 +1,5 @@ +132 +142 +5.0 +5616143436.064411 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/145 b/reduced-wall-cost/145 new file mode 100644 index 00000000..1b658649 --- /dev/null +++ b/reduced-wall-cost/145 @@ -0,0 +1,5 @@ +0 +142 +3.0 +3960554369.9270906 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file diff --git a/reduced-wall-cost/1454 b/reduced-wall-cost/1454 new file mode 100644 index 00000000..cddce119 --- /dev/null +++ b/reduced-wall-cost/1454 @@ -0,0 +1,5 @@ +132 +152 +2.5 +5471698764.611362 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1455 b/reduced-wall-cost/1455 new file mode 100644 index 00000000..abdc9c1f --- /dev/null +++ b/reduced-wall-cost/1455 @@ -0,0 +1,5 @@ +132 +152 +3.0 +5526378764.611362 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1456 b/reduced-wall-cost/1456 new file mode 100644 index 00000000..16a59aae --- /dev/null +++ b/reduced-wall-cost/1456 @@ -0,0 +1,5 @@ +132 +152 +3.5 +5581058764.611362 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1457 b/reduced-wall-cost/1457 new file mode 100644 index 00000000..fede24d3 --- /dev/null +++ b/reduced-wall-cost/1457 @@ -0,0 +1,5 @@ +132 +152 +4.0 +5635738764.611362 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1458 b/reduced-wall-cost/1458 new file mode 100644 index 00000000..160410d1 --- /dev/null +++ b/reduced-wall-cost/1458 @@ -0,0 +1,5 @@ +132 +152 +4.5 +5690418764.611362 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1459 b/reduced-wall-cost/1459 new file mode 100644 index 00000000..43fbd0b8 --- /dev/null +++ b/reduced-wall-cost/1459 @@ -0,0 +1,5 @@ +132 +152 +5.0 +5745098764.611362 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/146 b/reduced-wall-cost/146 new file mode 100644 index 00000000..68cd022a --- /dev/null +++ b/reduced-wall-cost/146 @@ -0,0 +1,5 @@ +0 +142 +3.5 +4189709481.8646317 +2717596000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1460 b/reduced-wall-cost/1460 new file mode 100644 index 00000000..5081cb0a --- /dev/null +++ b/reduced-wall-cost/1460 @@ -0,0 +1,5 @@ +132 +163 +0.5 +4980612601.982336 +84754000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1461 b/reduced-wall-cost/1461 new file mode 100644 index 00000000..a19461ac --- /dev/null +++ b/reduced-wall-cost/1461 @@ -0,0 +1,5 @@ +132 +163 +1.0 +5013978469.449349 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1462 b/reduced-wall-cost/1462 new file mode 100644 index 00000000..634514f5 --- /dev/null +++ b/reduced-wall-cost/1462 @@ -0,0 +1,5 @@ +132 +163 +1.5 +5051653989.119641 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1463 b/reduced-wall-cost/1463 new file mode 100644 index 00000000..39628701 --- /dev/null +++ b/reduced-wall-cost/1463 @@ -0,0 +1,5 @@ +132 +163 +2.0 +5017450676.030457 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1464 b/reduced-wall-cost/1464 new file mode 100644 index 00000000..960b7381 --- /dev/null +++ b/reduced-wall-cost/1464 @@ -0,0 +1,5 @@ +132 +163 +2.5 +5102204676.030457 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1465 b/reduced-wall-cost/1465 new file mode 100644 index 00000000..6ef1e468 --- /dev/null +++ b/reduced-wall-cost/1465 @@ -0,0 +1,5 @@ +132 +163 +3.0 +5186958676.030457 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1466 b/reduced-wall-cost/1466 new file mode 100644 index 00000000..7e4ffaba --- /dev/null +++ b/reduced-wall-cost/1466 @@ -0,0 +1,5 @@ +132 +163 +3.5 +5271712676.030457 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1467 b/reduced-wall-cost/1467 new file mode 100644 index 00000000..aa1e37ff --- /dev/null +++ b/reduced-wall-cost/1467 @@ -0,0 +1,5 @@ +132 +163 +4.0 +5356466676.030457 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1468 b/reduced-wall-cost/1468 new file mode 100644 index 00000000..9bb98b76 --- /dev/null +++ b/reduced-wall-cost/1468 @@ -0,0 +1,5 @@ +132 +163 +4.5 +5441220676.030457 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1469 b/reduced-wall-cost/1469 new file mode 100644 index 00000000..4f2db801 --- /dev/null +++ b/reduced-wall-cost/1469 @@ -0,0 +1,5 @@ +132 +163 +5.0 +5525974676.030457 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/147 b/reduced-wall-cost/147 new file mode 100644 index 00000000..c8c4a45c --- /dev/null +++ b/reduced-wall-cost/147 @@ -0,0 +1,5 @@ +0 +142 +4.0 +4577937481.864631 +3105824000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1470 b/reduced-wall-cost/1470 new file mode 100644 index 00000000..bade2fdd --- /dev/null +++ b/reduced-wall-cost/1470 @@ -0,0 +1,5 @@ +142 +142 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1471 b/reduced-wall-cost/1471 new file mode 100644 index 00000000..6507072b --- /dev/null +++ b/reduced-wall-cost/1471 @@ -0,0 +1,5 @@ +142 +142 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1472 b/reduced-wall-cost/1472 new file mode 100644 index 00000000..5f211df5 --- /dev/null +++ b/reduced-wall-cost/1472 @@ -0,0 +1,5 @@ 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--git a/reduced-wall-cost/1477 b/reduced-wall-cost/1477 new file mode 100644 index 00000000..f6a4e6dd --- /dev/null +++ b/reduced-wall-cost/1477 @@ -0,0 +1,5 @@ +142 +142 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1478 b/reduced-wall-cost/1478 new file mode 100644 index 00000000..b3a26e39 --- /dev/null +++ b/reduced-wall-cost/1478 @@ -0,0 +1,5 @@ +142 +142 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1479 b/reduced-wall-cost/1479 new file mode 100644 index 00000000..941e4f33 --- /dev/null +++ b/reduced-wall-cost/1479 @@ -0,0 +1,5 @@ +142 +142 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/148 b/reduced-wall-cost/148 new file mode 100644 index 00000000..7bbc94a1 --- /dev/null +++ b/reduced-wall-cost/148 @@ -0,0 +1,5 @@ +0 +142 +4.5 +4966165481.864631 +3494052000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1480 b/reduced-wall-cost/1480 new file mode 100644 index 00000000..3f9c19eb --- /dev/null +++ b/reduced-wall-cost/1480 @@ -0,0 +1,5 @@ +142 +152 +0.5 +5362292750.364933 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1481 b/reduced-wall-cost/1481 new file mode 100644 index 00000000..4c8b9f38 --- /dev/null +++ b/reduced-wall-cost/1481 @@ -0,0 +1,5 @@ +142 +152 +1.0 +5381410263.320317 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1482 b/reduced-wall-cost/1482 new file mode 100644 index 00000000..8f56e5f1 --- /dev/null +++ b/reduced-wall-cost/1482 @@ -0,0 +1,5 @@ +142 +152 +1.5 +5408750263.320317 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1483 b/reduced-wall-cost/1483 new file mode 100644 index 00000000..edecd069 --- /dev/null +++ b/reduced-wall-cost/1483 @@ -0,0 +1,5 @@ +142 +152 +2.0 +5436090263.320317 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1484 b/reduced-wall-cost/1484 new file mode 100644 index 00000000..d8c5f1b9 --- /dev/null +++ b/reduced-wall-cost/1484 @@ -0,0 +1,5 @@ +142 +152 +2.5 +5463430263.320317 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1485 b/reduced-wall-cost/1485 new file mode 100644 index 00000000..9a2f2676 --- /dev/null +++ b/reduced-wall-cost/1485 @@ -0,0 +1,5 @@ +142 +152 +3.0 +5490770263.320317 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1486 b/reduced-wall-cost/1486 new file mode 100644 index 00000000..c698403f --- /dev/null +++ b/reduced-wall-cost/1486 @@ -0,0 +1,5 @@ +142 +152 +3.5 +5518110263.320317 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1487 b/reduced-wall-cost/1487 new file mode 100644 index 00000000..02526838 --- /dev/null +++ b/reduced-wall-cost/1487 @@ -0,0 +1,5 @@ +142 +152 +4.0 +5545450263.320317 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1488 b/reduced-wall-cost/1488 new file mode 100644 index 00000000..7be1540c --- /dev/null +++ b/reduced-wall-cost/1488 @@ -0,0 +1,5 @@ +142 +152 +4.5 +5572790263.320317 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1489 b/reduced-wall-cost/1489 new file mode 100644 index 00000000..e8685359 --- /dev/null +++ b/reduced-wall-cost/1489 @@ -0,0 +1,5 @@ +142 +152 +5.0 +5600130263.320317 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/149 b/reduced-wall-cost/149 new file mode 100644 index 00000000..a9dfed73 --- /dev/null +++ b/reduced-wall-cost/149 @@ -0,0 +1,5 @@ +0 +142 +5.0 +5354393481.864632 +3882280000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1490 b/reduced-wall-cost/1490 new file mode 100644 index 00000000..49c5a271 --- /dev/null +++ b/reduced-wall-cost/1490 @@ -0,0 +1,5 @@ +142 +163 +0.5 +5074004547.574292 +57414000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1491 b/reduced-wall-cost/1491 new file mode 100644 index 00000000..f6555537 --- /dev/null +++ b/reduced-wall-cost/1491 @@ -0,0 +1,5 @@ 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b/reduced-wall-cost/1506 @@ -0,0 +1,5 @@ +152 +152 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1507 b/reduced-wall-cost/1507 new file mode 100644 index 00000000..e1a2a5e3 --- /dev/null +++ b/reduced-wall-cost/1507 @@ -0,0 +1,5 @@ +152 +152 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1508 b/reduced-wall-cost/1508 new file mode 100644 index 00000000..f51e6dff --- /dev/null +++ b/reduced-wall-cost/1508 @@ -0,0 +1,5 @@ +152 +152 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1509 b/reduced-wall-cost/1509 new file mode 100644 index 00000000..1c112f3f --- /dev/null +++ b/reduced-wall-cost/1509 @@ -0,0 +1,5 @@ +152 +152 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/151 b/reduced-wall-cost/151 new file mode 100644 index 00000000..6311d5d1 --- /dev/null +++ b/reduced-wall-cost/151 @@ -0,0 +1,5 @@ +0 +152 +1.0 +5318601830.039335 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a/reduced-wall-cost/1518 b/reduced-wall-cost/1518 new file mode 100644 index 00000000..350ee647 --- /dev/null +++ b/reduced-wall-cost/1518 @@ -0,0 +1,5 @@ +152 +163 +4.5 +5417018142.264306 +270666000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1519 b/reduced-wall-cost/1519 new file mode 100644 index 00000000..1b96e416 --- /dev/null +++ b/reduced-wall-cost/1519 @@ -0,0 +1,5 @@ +152 +163 +5.0 +5447092142.264306 +300740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/152 b/reduced-wall-cost/152 new file mode 100644 index 00000000..0084388c --- /dev/null +++ b/reduced-wall-cost/152 @@ -0,0 +1,5 @@ +0 +152 +1.5 +4866735388.098991 +1246704000.0 \ No newline at end of file diff --git a/reduced-wall-cost/1520 b/reduced-wall-cost/1520 new file mode 100644 index 00000000..a3ba197b --- /dev/null +++ b/reduced-wall-cost/1520 @@ -0,0 +1,5 @@ +163 +163 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1521 b/reduced-wall-cost/1521 new file mode 100644 index 00000000..765dfd36 --- /dev/null +++ b/reduced-wall-cost/1521 @@ -0,0 +1,5 @@ +163 +163 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1522 b/reduced-wall-cost/1522 new file mode 100644 index 00000000..6656378c --- /dev/null +++ b/reduced-wall-cost/1522 @@ -0,0 +1,5 @@ +163 +163 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1523 b/reduced-wall-cost/1523 new file mode 100644 index 00000000..56679d98 --- /dev/null +++ b/reduced-wall-cost/1523 @@ -0,0 +1,5 @@ +163 +163 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1524 b/reduced-wall-cost/1524 new file mode 100644 index 00000000..628992e6 --- /dev/null +++ b/reduced-wall-cost/1524 @@ -0,0 +1,5 @@ +163 +163 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1525 b/reduced-wall-cost/1525 new file mode 100644 index 00000000..b1c60ce4 --- /dev/null +++ b/reduced-wall-cost/1525 @@ -0,0 +1,5 @@ +163 +163 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1526 b/reduced-wall-cost/1526 new file mode 100644 index 00000000..85a957f3 --- /dev/null +++ b/reduced-wall-cost/1526 @@ -0,0 +1,5 @@ +163 +163 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1527 b/reduced-wall-cost/1527 new file mode 100644 index 00000000..c879fe7c --- /dev/null +++ b/reduced-wall-cost/1527 @@ -0,0 +1,5 @@ +163 +163 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1528 b/reduced-wall-cost/1528 new file mode 100644 index 00000000..e2c21afe --- /dev/null +++ b/reduced-wall-cost/1528 @@ -0,0 +1,5 @@ +163 +163 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/1529 b/reduced-wall-cost/1529 new file mode 100644 index 00000000..17ab39f9 --- /dev/null +++ b/reduced-wall-cost/1529 @@ -0,0 +1,5 @@ +163 +163 +5.0 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b/reduced-wall-cost/160 new file mode 100644 index 00000000..ba2e893e --- /dev/null +++ b/reduced-wall-cost/160 @@ -0,0 +1,5 @@ +0 +163 +0.5 +4955395893.195857 +445642000.0 \ No newline at end of file diff --git a/reduced-wall-cost/161 b/reduced-wall-cost/161 new file mode 100644 index 00000000..30abd144 --- /dev/null +++ b/reduced-wall-cost/161 @@ -0,0 +1,5 @@ +0 +163 +1.0 +4897149428.75752 +891284000.0 \ No newline at end of file diff --git a/reduced-wall-cost/162 b/reduced-wall-cost/162 new file mode 100644 index 00000000..85ef0aa9 --- /dev/null +++ b/reduced-wall-cost/162 @@ -0,0 +1,5 @@ +0 +163 +1.5 +4383343015.347279 +1336926000.0 \ No newline at end of file diff --git a/reduced-wall-cost/163 b/reduced-wall-cost/163 new file mode 100644 index 00000000..40965ad1 --- /dev/null +++ b/reduced-wall-cost/163 @@ -0,0 +1,5 @@ +0 +163 +2.0 +2873217952.010151 +1782568000.0 \ No newline at end of file diff --git a/reduced-wall-cost/164 b/reduced-wall-cost/164 new file mode 100644 index 00000000..45df612c --- /dev/null +++ b/reduced-wall-cost/164 @@ -0,0 +1,5 @@ +0 +163 +2.5 +2925361635.0370893 +2228210000.0 \ No newline at end of file diff --git a/reduced-wall-cost/165 b/reduced-wall-cost/165 new file mode 100644 index 00000000..7e67322f --- /dev/null +++ b/reduced-wall-cost/165 @@ -0,0 +1,5 @@ +0 +163 +3.0 +3271556947.9112463 +2673852000.0 \ No newline at end of file diff --git a/reduced-wall-cost/166 b/reduced-wall-cost/166 new file mode 100644 index 00000000..fb3a3729 --- /dev/null +++ b/reduced-wall-cost/166 @@ -0,0 +1,5 @@ +0 +163 +3.5 +3555704920.1418753 +3119494000.0 \ No newline at end of file diff --git a/reduced-wall-cost/167 b/reduced-wall-cost/167 new file mode 100644 index 00000000..e8b1e552 --- /dev/null +++ b/reduced-wall-cost/167 @@ -0,0 +1,5 @@ +0 +163 +4.0 +4001346920.1418753 +3565136000.0 \ No newline at end of file diff --git a/reduced-wall-cost/168 b/reduced-wall-cost/168 new file mode 100644 index 00000000..3ef73aae --- /dev/null +++ b/reduced-wall-cost/168 @@ -0,0 +1,5 @@ +0 +163 +4.5 +4446988920.141876 +4010778000.0 \ No newline at end of file diff --git a/reduced-wall-cost/169 b/reduced-wall-cost/169 new file mode 100644 index 00000000..f8964fdd --- /dev/null +++ b/reduced-wall-cost/169 @@ -0,0 +1,5 @@ +0 +163 +5.0 +4892630920.141876 +4456420000.0 \ No newline at end of file diff --git a/reduced-wall-cost/17 b/reduced-wall-cost/17 new file mode 100644 index 00000000..4c79a0f9 --- /dev/null +++ b/reduced-wall-cost/17 @@ -0,0 +1,5 @@ +0 +10 +4.0 +5543338749.898781 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/170 b/reduced-wall-cost/170 new file mode 100644 index 00000000..15148cdc --- /dev/null +++ b/reduced-wall-cost/170 @@ -0,0 +1,5 @@ +10 +10 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/171 b/reduced-wall-cost/171 new file mode 100644 index 00000000..8165e8ef --- /dev/null +++ b/reduced-wall-cost/171 @@ -0,0 +1,5 @@ +10 +10 +1.0 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b/reduced-wall-cost/176 new file mode 100644 index 00000000..dcb3f0ab --- /dev/null +++ b/reduced-wall-cost/176 @@ -0,0 +1,5 @@ +10 +10 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/177 b/reduced-wall-cost/177 new file mode 100644 index 00000000..5a779c70 --- /dev/null +++ b/reduced-wall-cost/177 @@ -0,0 +1,5 @@ +10 +10 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/178 b/reduced-wall-cost/178 new file mode 100644 index 00000000..f484fbf9 --- /dev/null +++ b/reduced-wall-cost/178 @@ -0,0 +1,5 @@ +10 +10 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/179 b/reduced-wall-cost/179 new file mode 100644 index 00000000..f9dcac54 --- /dev/null +++ b/reduced-wall-cost/179 @@ -0,0 +1,5 @@ +10 +10 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/18 b/reduced-wall-cost/18 new file mode 100644 index 00000000..1e422ce2 --- /dev/null +++ b/reduced-wall-cost/18 @@ -0,0 +1,5 @@ +0 +10 +4.5 +5570678749.898781 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/180 b/reduced-wall-cost/180 new file mode 100644 index 00000000..78277f42 --- /dev/null +++ b/reduced-wall-cost/180 @@ -0,0 +1,5 @@ +10 +20 +0.5 +5416092902.876319 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/181 b/reduced-wall-cost/181 new file mode 100644 index 00000000..378e1c05 --- /dev/null +++ b/reduced-wall-cost/181 @@ -0,0 +1,5 @@ +10 +20 +1.0 +5443430783.464592 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/182 b/reduced-wall-cost/182 new file mode 100644 index 00000000..83295271 --- /dev/null +++ b/reduced-wall-cost/182 @@ -0,0 +1,5 @@ +10 +20 +1.5 +5470770783.464592 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/183 b/reduced-wall-cost/183 new file mode 100644 index 00000000..1a31d6ba --- /dev/null +++ b/reduced-wall-cost/183 @@ -0,0 +1,5 @@ +10 +20 +2.0 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file diff --git a/reduced-wall-cost/188 b/reduced-wall-cost/188 new file mode 100644 index 00000000..6de530d1 --- /dev/null +++ b/reduced-wall-cost/188 @@ -0,0 +1,5 @@ +10 +20 +4.5 +5634810783.464592 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/189 b/reduced-wall-cost/189 new file mode 100644 index 00000000..39d481ba --- /dev/null +++ b/reduced-wall-cost/189 @@ -0,0 +1,5 @@ +10 +20 +5.0 +5662150783.464592 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/19 b/reduced-wall-cost/19 new file mode 100644 index 00000000..0195957d --- /dev/null +++ b/reduced-wall-cost/19 @@ -0,0 +1,5 @@ +0 +10 +5.0 +5598018749.898781 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/190 b/reduced-wall-cost/190 new file mode 100644 index 00000000..1bd359f1 --- /dev/null +++ b/reduced-wall-cost/190 @@ -0,0 +1,5 @@ +10 +30 +0.5 +5431803773.159058 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/191 b/reduced-wall-cost/191 new file mode 100644 index 00000000..e5a7d0e1 --- /dev/null +++ b/reduced-wall-cost/191 @@ -0,0 +1,5 @@ +10 +30 +1.0 +5486366105.174522 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/192 b/reduced-wall-cost/192 new file mode 100644 index 00000000..afb25dfd --- /dev/null +++ b/reduced-wall-cost/192 @@ -0,0 +1,5 @@ +10 +30 +1.5 +5541046105.174522 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/193 b/reduced-wall-cost/193 new file mode 100644 index 00000000..c87063c7 --- /dev/null +++ b/reduced-wall-cost/193 @@ -0,0 +1,5 @@ +10 +30 +2.0 +5595726105.174522 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/194 b/reduced-wall-cost/194 new file mode 100644 index 00000000..214038e6 --- /dev/null +++ b/reduced-wall-cost/194 @@ -0,0 +1,5 @@ +10 +30 +2.5 +5650406105.174522 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/195 b/reduced-wall-cost/195 new file mode 100644 index 00000000..01dd391e --- /dev/null +++ b/reduced-wall-cost/195 @@ -0,0 +1,5 @@ +10 +30 +3.0 +5705086105.174522 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/196 b/reduced-wall-cost/196 new file mode 100644 index 00000000..0e40c24b --- /dev/null +++ b/reduced-wall-cost/196 @@ -0,0 +1,5 @@ +10 +30 +3.5 +5759766105.174522 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/197 b/reduced-wall-cost/197 new file mode 100644 index 00000000..98764eb2 --- /dev/null +++ b/reduced-wall-cost/197 @@ -0,0 +1,5 @@ +10 +30 +4.0 +5814446105.174522 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/198 b/reduced-wall-cost/198 new file mode 100644 index 00000000..f8e516ba --- /dev/null +++ b/reduced-wall-cost/198 @@ -0,0 +1,5 @@ +10 +30 +4.5 +5869126105.174522 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/199 b/reduced-wall-cost/199 new file mode 100644 index 00000000..2e411e3f --- /dev/null +++ b/reduced-wall-cost/199 @@ -0,0 +1,5 @@ +10 +30 +5.0 +5923806105.174522 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/2 b/reduced-wall-cost/2 new file mode 100644 index 00000000..49cf81c1 --- /dev/null +++ b/reduced-wall-cost/2 @@ -0,0 +1,5 @@ +0 +0 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/20 b/reduced-wall-cost/20 new file mode 100644 index 00000000..cd438ff7 --- /dev/null +++ b/reduced-wall-cost/20 @@ -0,0 +1,5 @@ +0 +20 +0.5 +5369245463.484163 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/200 b/reduced-wall-cost/200 new file mode 100644 index 00000000..797b658c --- /dev/null +++ b/reduced-wall-cost/200 @@ -0,0 +1,5 @@ +10 +40 +0.5 +5458680206.737854 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/201 b/reduced-wall-cost/201 new file mode 100644 index 00000000..73e85ff9 --- /dev/null +++ b/reduced-wall-cost/201 @@ -0,0 +1,5 @@ +10 +40 +1.0 +5537209344.775306 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a/reduced-wall-cost/206 b/reduced-wall-cost/206 new file mode 100644 index 00000000..87e8f9d9 --- /dev/null +++ b/reduced-wall-cost/206 @@ -0,0 +1,5 @@ +10 +40 +3.5 +5947309344.775306 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/207 b/reduced-wall-cost/207 new file mode 100644 index 00000000..816b03c3 --- /dev/null +++ b/reduced-wall-cost/207 @@ -0,0 +1,5 @@ +10 +40 +4.0 +6029329344.775306 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/208 b/reduced-wall-cost/208 new file mode 100644 index 00000000..3c2909ee --- /dev/null +++ b/reduced-wall-cost/208 @@ -0,0 +1,5 @@ +10 +40 +4.5 +6111349344.775306 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/209 b/reduced-wall-cost/209 new file mode 100644 index 00000000..aa7cb779 --- /dev/null +++ b/reduced-wall-cost/209 @@ -0,0 +1,5 @@ +10 +40 +5.0 +6193369344.775306 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/21 b/reduced-wall-cost/21 new file 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b/reduced-wall-cost/213 @@ -0,0 +1,5 @@ +10 +50 +2.0 +5810605090.832213 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/214 b/reduced-wall-cost/214 new file mode 100644 index 00000000..61149a62 --- /dev/null +++ b/reduced-wall-cost/214 @@ -0,0 +1,5 @@ +10 +50 +2.5 +5919965090.832213 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/215 b/reduced-wall-cost/215 new file mode 100644 index 00000000..83e4383f --- /dev/null +++ b/reduced-wall-cost/215 @@ -0,0 +1,5 @@ +10 +50 +3.0 +6029325090.832213 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/216 b/reduced-wall-cost/216 new file mode 100644 index 00000000..3726d1dc --- /dev/null +++ b/reduced-wall-cost/216 @@ -0,0 +1,5 @@ +10 +50 +3.5 +6138685090.832213 +765520000.0 \ No newline at end of file diff --git a/reduced-wall-cost/217 b/reduced-wall-cost/217 new file mode 100644 index 00000000..4c3cca64 --- /dev/null +++ b/reduced-wall-cost/217 @@ -0,0 +1,5 @@ +10 +50 +4.0 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diff --git a/reduced-wall-cost/221 b/reduced-wall-cost/221 new file mode 100644 index 00000000..b8e090fa --- /dev/null +++ b/reduced-wall-cost/221 @@ -0,0 +1,5 @@ +10 +61 +1.0 +5652030074.124691 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/222 b/reduced-wall-cost/222 new file mode 100644 index 00000000..16b86a34 --- /dev/null +++ b/reduced-wall-cost/222 @@ -0,0 +1,5 @@ +10 +61 +1.5 +5790673326.0112705 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/223 b/reduced-wall-cost/223 new file mode 100644 index 00000000..04733101 --- /dev/null +++ b/reduced-wall-cost/223 @@ -0,0 +1,5 @@ +10 +61 +2.0 +5929925747.838844 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/224 b/reduced-wall-cost/224 new file mode 100644 index 00000000..9c5f3bc0 --- /dev/null +++ b/reduced-wall-cost/224 @@ -0,0 +1,5 @@ +10 +61 +2.5 +6069349335.71609 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/225 b/reduced-wall-cost/225 new file mode 100644 index 00000000..6e96f601 --- /dev/null +++ b/reduced-wall-cost/225 @@ -0,0 +1,5 @@ +10 +61 +3.0 +6208783335.71609 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/226 b/reduced-wall-cost/226 new file mode 100644 index 00000000..518d2e06 --- /dev/null +++ b/reduced-wall-cost/226 @@ -0,0 +1,5 @@ +10 +61 +3.5 +6348217335.71609 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/227 b/reduced-wall-cost/227 new file mode 100644 index 00000000..b6ff887f --- /dev/null +++ b/reduced-wall-cost/227 @@ -0,0 +1,5 @@ +10 +61 +4.0 +6487651335.71609 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/228 b/reduced-wall-cost/228 new file mode 100644 index 00000000..c4878b15 --- /dev/null +++ b/reduced-wall-cost/228 @@ -0,0 +1,5 @@ +10 +61 +4.5 +6627085335.71609 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/229 b/reduced-wall-cost/229 new file mode 100644 index 00000000..8fcac2b4 --- /dev/null +++ b/reduced-wall-cost/229 @@ -0,0 +1,5 @@ +10 +61 +5.0 +6766519335.71609 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/23 b/reduced-wall-cost/23 new file mode 100644 index 00000000..b130bb58 --- /dev/null +++ b/reduced-wall-cost/23 @@ -0,0 +1,5 @@ +0 +20 +2.0 +5498438331.41011 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/230 b/reduced-wall-cost/230 new file mode 100644 index 00000000..08bff62e --- /dev/null +++ b/reduced-wall-cost/230 @@ -0,0 +1,5 @@ +10 +71 +0.5 +5543430019.377398 +166774000.0 \ No newline at end of file diff --git a/reduced-wall-cost/231 b/reduced-wall-cost/231 new file mode 100644 index 00000000..3185a6ad --- /dev/null +++ b/reduced-wall-cost/231 @@ -0,0 +1,5 @@ +10 +71 +1.0 +5706609378.275889 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/232 b/reduced-wall-cost/232 new file mode 100644 index 00000000..f8392d5d --- /dev/null +++ b/reduced-wall-cost/232 @@ -0,0 +1,5 @@ +10 +71 +1.5 +5872134366.75481 +500322000.0 \ No newline at end of file diff --git a/reduced-wall-cost/233 b/reduced-wall-cost/233 new file mode 100644 index 00000000..693a8b9c --- /dev/null +++ b/reduced-wall-cost/233 @@ -0,0 +1,5 @@ +10 +71 +2.0 +6038503102.44281 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/234 b/reduced-wall-cost/234 new file mode 100644 index 00000000..cfffa14f --- /dev/null +++ b/reduced-wall-cost/234 @@ -0,0 +1,5 @@ +10 +71 +2.5 +6205239327.2611 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/235 b/reduced-wall-cost/235 new file mode 100644 index 00000000..284b9615 --- /dev/null +++ b/reduced-wall-cost/235 @@ -0,0 +1,5 @@ +10 +71 +3.0 +6372026477.039935 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/236 b/reduced-wall-cost/236 new file mode 100644 index 00000000..55b15943 --- /dev/null +++ b/reduced-wall-cost/236 @@ -0,0 +1,5 @@ +10 +71 +3.5 +6538800477.039935 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a/reduced-wall-cost/240 b/reduced-wall-cost/240 new file mode 100644 index 00000000..3e909e8f --- /dev/null +++ b/reduced-wall-cost/240 @@ -0,0 +1,5 @@ +10 +81 +0.5 +5570731510.477463 +194114000.0 \ No newline at end of file diff --git a/reduced-wall-cost/241 b/reduced-wall-cost/241 new file mode 100644 index 00000000..48e9754e --- /dev/null +++ b/reduced-wall-cost/241 @@ -0,0 +1,5 @@ +10 +81 +1.0 +5741834619.651975 +388228000.0 \ No newline at end of file diff --git a/reduced-wall-cost/242 b/reduced-wall-cost/242 new file mode 100644 index 00000000..1a69b483 --- /dev/null +++ b/reduced-wall-cost/242 @@ -0,0 +1,5 @@ +10 +81 +1.5 +5312520390.003505 +582342000.0 \ No newline at end of file diff --git a/reduced-wall-cost/243 b/reduced-wall-cost/243 new file mode 100644 index 00000000..da792f71 --- /dev/null +++ b/reduced-wall-cost/243 @@ -0,0 +1,5 @@ +10 +81 +2.0 +5117594197.283961 +776456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/244 b/reduced-wall-cost/244 new file 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+++ b/reduced-wall-cost/248 @@ -0,0 +1,5 @@ +10 +81 +4.5 +6049736336.434315 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/249 b/reduced-wall-cost/249 new file mode 100644 index 00000000..1aee9651 --- /dev/null +++ b/reduced-wall-cost/249 @@ -0,0 +1,5 @@ +10 +81 +5.0 +6243850336.434315 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/25 b/reduced-wall-cost/25 new file mode 100644 index 00000000..e06079da --- /dev/null +++ b/reduced-wall-cost/25 @@ -0,0 +1,5 @@ +0 +20 +3.0 +5607798331.41011 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/250 b/reduced-wall-cost/250 new file mode 100644 index 00000000..be925d77 --- /dev/null +++ b/reduced-wall-cost/250 @@ -0,0 +1,5 @@ +10 +91 +0.5 +5597145897.863859 +221454000.0 \ No newline at end of file diff --git a/reduced-wall-cost/251 b/reduced-wall-cost/251 new file mode 100644 index 00000000..241cfec2 --- /dev/null +++ b/reduced-wall-cost/251 @@ -0,0 +1,5 @@ +10 +91 +1.0 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file diff --git a/reduced-wall-cost/256 b/reduced-wall-cost/256 new file mode 100644 index 00000000..9626e7c6 --- /dev/null +++ b/reduced-wall-cost/256 @@ -0,0 +1,5 @@ +10 +91 +3.5 +5241385602.455104 +1550178000.0 \ No newline at end of file diff --git a/reduced-wall-cost/257 b/reduced-wall-cost/257 new file mode 100644 index 00000000..7b493717 --- /dev/null +++ b/reduced-wall-cost/257 @@ -0,0 +1,5 @@ +10 +91 +4.0 +5462839602.455104 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/258 b/reduced-wall-cost/258 new file mode 100644 index 00000000..b49ee145 --- /dev/null +++ b/reduced-wall-cost/258 @@ -0,0 +1,5 @@ +10 +91 +4.5 +5684293602.455104 +1993086000.0 \ No newline at end of file diff --git a/reduced-wall-cost/259 b/reduced-wall-cost/259 new file mode 100644 index 00000000..cdd78488 --- /dev/null +++ b/reduced-wall-cost/259 @@ -0,0 +1,5 @@ +10 +91 +5.0 +5905747602.455104 +2214540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/26 b/reduced-wall-cost/26 new file mode 100644 index 00000000..214340d6 --- /dev/null +++ b/reduced-wall-cost/26 @@ -0,0 +1,5 @@ +0 +20 +3.5 +5662478331.41011 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/260 b/reduced-wall-cost/260 new file mode 100644 index 00000000..4485c47e --- /dev/null +++ b/reduced-wall-cost/260 @@ -0,0 +1,5 @@ +10 +101 +0.5 +5624485897.863859 +248794000.0 \ No newline at end of file diff --git a/reduced-wall-cost/261 b/reduced-wall-cost/261 new file mode 100644 index 00000000..5d8d0b70 --- /dev/null +++ b/reduced-wall-cost/261 @@ -0,0 +1,5 @@ +10 +101 +1.0 +5848220642.709934 +497588000.0 \ No newline at end of file diff --git a/reduced-wall-cost/262 b/reduced-wall-cost/262 new file mode 100644 index 00000000..649e79d3 --- /dev/null +++ b/reduced-wall-cost/262 @@ -0,0 +1,5 @@ +10 +101 +1.5 +5232419424.346532 +746382000.0 \ No newline at end of file diff --git a/reduced-wall-cost/263 b/reduced-wall-cost/263 new file mode 100644 index 00000000..cb759a0f --- /dev/null +++ b/reduced-wall-cost/263 @@ -0,0 +1,5 @@ +10 +101 +2.0 +4868804333.551625 +995176000.0 \ No newline at end of file diff --git a/reduced-wall-cost/264 b/reduced-wall-cost/264 new file mode 100644 index 00000000..2d75b036 --- /dev/null +++ b/reduced-wall-cost/264 @@ -0,0 +1,5 @@ +10 +101 +2.5 +4990796133.37792 +1243970000.0 \ No newline at end of file diff --git a/reduced-wall-cost/265 b/reduced-wall-cost/265 new file mode 100644 index 00000000..ae6e1855 --- /dev/null +++ b/reduced-wall-cost/265 @@ -0,0 +1,5 @@ +10 +101 +3.0 +5194451142.403845 +1492764000.0 \ No newline at end of file diff --git a/reduced-wall-cost/266 b/reduced-wall-cost/266 new file mode 100644 index 00000000..71ceecd7 --- /dev/null +++ b/reduced-wall-cost/266 @@ -0,0 +1,5 @@ +10 +101 +3.5 +5424307508.769513 +1741558000.0 \ No newline at end of file diff --git a/reduced-wall-cost/267 b/reduced-wall-cost/267 new file mode 100644 index 00000000..8e7bc52b --- /dev/null +++ b/reduced-wall-cost/267 @@ -0,0 +1,5 @@ +10 +101 +4.0 +5673101508.769513 +1990352000.0 \ No newline at end of file diff --git a/reduced-wall-cost/268 b/reduced-wall-cost/268 new file mode 100644 index 00000000..304aebfa --- /dev/null +++ b/reduced-wall-cost/268 @@ -0,0 +1,5 @@ +10 +101 +4.5 +5921895508.769513 +2239146000.0 \ No newline at end of file diff --git a/reduced-wall-cost/269 b/reduced-wall-cost/269 new file mode 100644 index 00000000..3f49976f --- /dev/null +++ b/reduced-wall-cost/269 @@ -0,0 +1,5 @@ +10 +101 +5.0 +6170689508.769513 +2487940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/27 b/reduced-wall-cost/27 new file mode 100644 index 00000000..cab9e28e --- /dev/null +++ b/reduced-wall-cost/27 @@ -0,0 +1,5 @@ +0 +20 +4.0 +5717158331.41011 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/270 b/reduced-wall-cost/270 new file mode 100644 index 00000000..320273df --- /dev/null +++ b/reduced-wall-cost/270 @@ -0,0 +1,5 @@ +10 +112 +0.5 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end of file diff --git a/reduced-wall-cost/275 b/reduced-wall-cost/275 new file mode 100644 index 00000000..15395d65 --- /dev/null +++ b/reduced-wall-cost/275 @@ -0,0 +1,5 @@ +10 +112 +3.0 +4231892112.655701 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/276 b/reduced-wall-cost/276 new file mode 100644 index 00000000..60a24d9c --- /dev/null +++ b/reduced-wall-cost/276 @@ -0,0 +1,5 @@ +10 +112 +3.5 +4475026085.0622 +1952076000.0 \ No newline at end of file diff --git a/reduced-wall-cost/277 b/reduced-wall-cost/277 new file mode 100644 index 00000000..c9186662 --- /dev/null +++ b/reduced-wall-cost/277 @@ -0,0 +1,5 @@ +10 +112 +4.0 +4753894085.0622 +2230944000.0 \ No newline at end of file diff --git a/reduced-wall-cost/278 b/reduced-wall-cost/278 new file mode 100644 index 00000000..134019c6 --- /dev/null +++ b/reduced-wall-cost/278 @@ -0,0 +1,5 @@ +10 +112 +4.5 +5032762085.0622 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/279 b/reduced-wall-cost/279 new file mode 100644 index 00000000..6f3d0d51 --- /dev/null +++ b/reduced-wall-cost/279 @@ -0,0 +1,5 @@ +10 +112 +5.0 +5311630085.0622 +2788680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/28 b/reduced-wall-cost/28 new file mode 100644 index 00000000..d3c6a78a --- /dev/null +++ b/reduced-wall-cost/28 @@ -0,0 +1,5 @@ +0 +20 +4.5 +5771838331.41011 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/280 b/reduced-wall-cost/280 new file mode 100644 index 00000000..aeb6f57c --- /dev/null +++ b/reduced-wall-cost/280 @@ -0,0 +1,5 @@ +10 +122 +0.5 +5641296513.523232 +306208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/281 b/reduced-wall-cost/281 new file mode 100644 index 00000000..db4b13fb --- /dev/null +++ b/reduced-wall-cost/281 @@ -0,0 +1,5 @@ +10 +122 +1.0 +5893200126.697761 +612416000.0 \ No newline at end of file diff --git a/reduced-wall-cost/282 b/reduced-wall-cost/282 new file mode 100644 index 00000000..956976b9 --- /dev/null +++ b/reduced-wall-cost/282 @@ -0,0 +1,5 @@ +10 +122 +1.5 +5433028607.412393 +918624000.0 \ No newline at end of file diff --git a/reduced-wall-cost/283 b/reduced-wall-cost/283 new file mode 100644 index 00000000..eabd607d --- /dev/null +++ b/reduced-wall-cost/283 @@ -0,0 +1,5 @@ +10 +122 +2.0 +3993050382.719191 +1224832000.0 \ No newline at end of file diff --git a/reduced-wall-cost/284 b/reduced-wall-cost/284 new file mode 100644 index 00000000..ff79dcfc --- /dev/null +++ b/reduced-wall-cost/284 @@ -0,0 +1,5 @@ +10 +122 +2.5 +3923436341.967632 +1531040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/285 b/reduced-wall-cost/285 new file mode 100644 index 00000000..4225c9cd --- /dev/null +++ b/reduced-wall-cost/285 @@ -0,0 +1,5 @@ +10 +122 +3.0 +4128356870.5050893 +1837248000.0 \ No newline at end of file diff --git a/reduced-wall-cost/286 b/reduced-wall-cost/286 new file mode 100644 index 00000000..feae8bcc --- /dev/null +++ b/reduced-wall-cost/286 @@ -0,0 +1,5 @@ +10 +122 +3.5 +4280699451.4676867 +2143456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/287 b/reduced-wall-cost/287 new file mode 100644 index 00000000..f3dfe08d --- /dev/null +++ b/reduced-wall-cost/287 @@ -0,0 +1,5 @@ +10 +122 +4.0 +4586907451.467687 +2449664000.0 \ No newline at end of file diff --git a/reduced-wall-cost/288 b/reduced-wall-cost/288 new file mode 100644 index 00000000..fd3fc2da --- /dev/null +++ b/reduced-wall-cost/288 @@ -0,0 +1,5 @@ +10 +122 +4.5 +4893115451.467687 +2755872000.0 \ No newline at end of file diff --git a/reduced-wall-cost/289 b/reduced-wall-cost/289 new file mode 100644 index 00000000..94d75b60 --- /dev/null +++ b/reduced-wall-cost/289 @@ -0,0 +1,5 @@ +10 +122 +5.0 +5199323451.467687 +3062080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/29 b/reduced-wall-cost/29 new file mode 100644 index 00000000..d0ba77fb --- /dev/null +++ b/reduced-wall-cost/29 @@ -0,0 +1,5 @@ +0 +20 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at end of file diff --git a/reduced-wall-cost/294 b/reduced-wall-cost/294 new file mode 100644 index 00000000..d9445914 --- /dev/null +++ b/reduced-wall-cost/294 @@ -0,0 +1,5 @@ +10 +132 +2.5 +4031652192.1717796 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/295 b/reduced-wall-cost/295 new file mode 100644 index 00000000..d08bfcf5 --- /dev/null +++ b/reduced-wall-cost/295 @@ -0,0 +1,5 @@ +10 +132 +3.0 +4258806955.051133 +2001288000.0 \ No newline at end of file diff --git a/reduced-wall-cost/296 b/reduced-wall-cost/296 new file mode 100644 index 00000000..ac92b6be --- /dev/null +++ b/reduced-wall-cost/296 @@ -0,0 +1,5 @@ +10 +132 +3.5 +4437973084.533739 +2334836000.0 \ No newline at end of file diff --git a/reduced-wall-cost/297 b/reduced-wall-cost/297 new file mode 100644 index 00000000..c2b7a177 --- /dev/null +++ b/reduced-wall-cost/297 @@ -0,0 +1,5 @@ +10 +132 +4.0 +4771521084.533739 +2668384000.0 \ No newline at end of file diff --git a/reduced-wall-cost/298 b/reduced-wall-cost/298 new file mode 100644 index 00000000..27fc4db8 --- /dev/null +++ b/reduced-wall-cost/298 @@ -0,0 +1,5 @@ +10 +132 +4.5 +5105069084.533739 +3001932000.0 \ No newline at end of file diff --git a/reduced-wall-cost/299 b/reduced-wall-cost/299 new file mode 100644 index 00000000..5e5abdef --- /dev/null +++ b/reduced-wall-cost/299 @@ -0,0 +1,5 @@ +10 +132 +5.0 +5438617084.533739 +3335480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/3 b/reduced-wall-cost/3 new file mode 100644 index 00000000..4446e6b7 --- /dev/null +++ b/reduced-wall-cost/3 @@ -0,0 +1,5 @@ +0 +0 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/30 b/reduced-wall-cost/30 new file mode 100644 index 00000000..2ab14b6e --- /dev/null +++ b/reduced-wall-cost/30 @@ -0,0 +1,5 @@ +0 +30 +0.5 +5306000505.074414 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/300 b/reduced-wall-cost/300 new file mode 100644 index 00000000..0c2823eb --- /dev/null +++ b/reduced-wall-cost/300 @@ -0,0 +1,5 @@ +10 +142 +0.5 +5634524353.513899 +360888000.0 \ No newline at end of file diff --git a/reduced-wall-cost/301 b/reduced-wall-cost/301 new file mode 100644 index 00000000..729e7d9e --- /dev/null +++ b/reduced-wall-cost/301 @@ -0,0 +1,5 @@ +10 +142 +1.0 +5921639754.602186 +721776000.0 \ No newline at end of file diff --git a/reduced-wall-cost/302 b/reduced-wall-cost/302 new file mode 100644 index 00000000..69839214 --- /dev/null +++ b/reduced-wall-cost/302 @@ -0,0 +1,5 @@ +10 +142 +1.5 +5504221774.854573 +1082664000.0 \ No newline at end of file diff --git a/reduced-wall-cost/303 b/reduced-wall-cost/303 new file mode 100644 index 00000000..c66f6479 --- /dev/null +++ b/reduced-wall-cost/303 @@ -0,0 +1,5 @@ +10 +142 +2.0 +4087833427.174848 +1443552000.0 \ No newline at end of file diff --git a/reduced-wall-cost/304 b/reduced-wall-cost/304 new file mode 100644 index 00000000..c74d7628 --- /dev/null +++ b/reduced-wall-cost/304 @@ -0,0 +1,5 @@ +10 +142 +2.5 +4056283290.2422094 +1804440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/305 b/reduced-wall-cost/305 new file mode 100644 index 00000000..3f2bbf81 --- /dev/null +++ b/reduced-wall-cost/305 @@ -0,0 +1,5 @@ +10 +142 +3.0 +4315387620.987449 +2165328000.0 \ No newline at end of file diff --git a/reduced-wall-cost/306 b/reduced-wall-cost/306 new file mode 100644 index 00000000..0f29b5db --- /dev/null +++ b/reduced-wall-cost/306 @@ -0,0 +1,5 @@ +10 +142 +3.5 +4517238566.230761 +2526216000.0 \ No newline at end of file diff --git a/reduced-wall-cost/307 b/reduced-wall-cost/307 new file mode 100644 index 00000000..b497429b --- /dev/null +++ b/reduced-wall-cost/307 @@ -0,0 +1,5 @@ +10 +142 +4.0 +4878126566.230761 +2887104000.0 \ No newline at end of file diff --git a/reduced-wall-cost/308 b/reduced-wall-cost/308 new file mode 100644 index 00000000..2bae44b9 --- /dev/null +++ b/reduced-wall-cost/308 @@ -0,0 +1,5 @@ +10 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at end of file diff --git a/reduced-wall-cost/312 b/reduced-wall-cost/312 new file mode 100644 index 00000000..6df96b38 --- /dev/null +++ b/reduced-wall-cost/312 @@ -0,0 +1,5 @@ +10 +152 +1.5 +5260969631.298454 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/313 b/reduced-wall-cost/313 new file mode 100644 index 00000000..30a5e772 --- /dev/null +++ b/reduced-wall-cost/313 @@ -0,0 +1,5 @@ +10 +152 +2.0 +3870447771.7829437 +1552912000.0 \ No newline at end of file diff --git a/reduced-wall-cost/314 b/reduced-wall-cost/314 new file mode 100644 index 00000000..3cffd1be --- /dev/null +++ b/reduced-wall-cost/314 @@ -0,0 +1,5 @@ +10 +152 +2.5 +3867813863.684022 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/315 b/reduced-wall-cost/315 new file mode 100644 index 00000000..ffd592b7 --- /dev/null +++ b/reduced-wall-cost/315 @@ -0,0 +1,5 @@ +10 +152 +3.0 +4156570800.529878 +2329368000.0 \ No newline at end of file diff --git a/reduced-wall-cost/316 b/reduced-wall-cost/316 new file mode 100644 index 00000000..1bb8b539 --- /dev/null +++ b/reduced-wall-cost/316 @@ -0,0 +1,5 @@ +10 +152 +3.5 +4381103209.751948 +2717596000.0 \ No newline at end of file diff --git a/reduced-wall-cost/317 b/reduced-wall-cost/317 new file mode 100644 index 00000000..f5d49535 --- /dev/null +++ b/reduced-wall-cost/317 @@ -0,0 +1,5 @@ +10 +152 +4.0 +4769331209.751948 +3105824000.0 \ No newline at end of file diff --git a/reduced-wall-cost/318 b/reduced-wall-cost/318 new file mode 100644 index 00000000..5e19d1e5 --- /dev/null +++ b/reduced-wall-cost/318 @@ -0,0 +1,5 @@ +10 +152 +4.5 +5157559209.751948 +3494052000.0 \ No newline at end of file diff --git a/reduced-wall-cost/319 b/reduced-wall-cost/319 new file mode 100644 index 00000000..8cb26c8c --- /dev/null +++ b/reduced-wall-cost/319 @@ -0,0 +1,5 @@ +10 +152 +5.0 +5545787209.751949 +3882280000.0 \ No newline at end of file diff --git a/reduced-wall-cost/32 b/reduced-wall-cost/32 new file mode 100644 index 00000000..b0781d25 --- /dev/null +++ b/reduced-wall-cost/32 @@ -0,0 +1,5 @@ +0 +30 +1.5 +5222903297.568097 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/320 b/reduced-wall-cost/320 new file mode 100644 index 00000000..90a11b11 --- /dev/null +++ b/reduced-wall-cost/320 @@ -0,0 +1,5 @@ +10 +163 +0.5 +5080686960.769737 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/321 b/reduced-wall-cost/321 new file mode 100644 index 00000000..eb699a83 --- /dev/null +++ b/reduced-wall-cost/321 @@ -0,0 +1,5 @@ +10 +163 +1.0 +5253222209.183509 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/322 b/reduced-wall-cost/322 new file mode 100644 index 00000000..5b67b803 --- /dev/null +++ b/reduced-wall-cost/322 @@ -0,0 +1,5 @@ +10 +163 +1.5 +4775824344.436123 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/323 b/reduced-wall-cost/323 new file mode 100644 index 00000000..85d61312 --- /dev/null +++ b/reduced-wall-cost/323 @@ -0,0 +1,5 @@ +10 +163 +2.0 +3275367431.1307583 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/324 b/reduced-wall-cost/324 new file mode 100644 index 00000000..90f7b0de --- /dev/null +++ b/reduced-wall-cost/324 @@ -0,0 +1,5 @@ +10 +163 +2.5 +3304267604.4816422 +2091510000.0 \ No newline at end of file diff --git a/reduced-wall-cost/325 b/reduced-wall-cost/325 new file mode 100644 index 00000000..ccb8f412 --- /dev/null +++ b/reduced-wall-cost/325 @@ -0,0 +1,5 @@ +10 +163 +3.0 +3623352715.546076 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/326 b/reduced-wall-cost/326 new file mode 100644 index 00000000..b0138876 --- /dev/null +++ b/reduced-wall-cost/326 @@ -0,0 +1,5 @@ +10 +163 +3.5 +3880140684.20664 +2928114000.0 \ No newline at end of file diff --git a/reduced-wall-cost/327 b/reduced-wall-cost/327 new file mode 100644 index 00000000..7d608599 --- /dev/null +++ b/reduced-wall-cost/327 @@ -0,0 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newline at end of file diff --git a/reduced-wall-cost/331 b/reduced-wall-cost/331 new file mode 100644 index 00000000..1f81857b --- /dev/null +++ b/reduced-wall-cost/331 @@ -0,0 +1,5 @@ +20 +20 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/332 b/reduced-wall-cost/332 new file mode 100644 index 00000000..7eeaf10d --- /dev/null +++ b/reduced-wall-cost/332 @@ -0,0 +1,5 @@ +20 +20 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/333 b/reduced-wall-cost/333 new file mode 100644 index 00000000..72cc8a28 --- /dev/null +++ b/reduced-wall-cost/333 @@ -0,0 +1,5 @@ +20 +20 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/334 b/reduced-wall-cost/334 new file mode 100644 index 00000000..cce0bf9a --- /dev/null +++ b/reduced-wall-cost/334 @@ -0,0 +1,5 @@ +20 +20 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/335 b/reduced-wall-cost/335 new file 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new file mode 100644 index 00000000..3b9cde41 --- /dev/null +++ b/reduced-wall-cost/347 @@ -0,0 +1,5 @@ +20 +30 +4.0 +5607570955.46219 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/348 b/reduced-wall-cost/348 new file mode 100644 index 00000000..d7613c8d --- /dev/null +++ b/reduced-wall-cost/348 @@ -0,0 +1,5 @@ +20 +30 +4.5 +5634910955.46219 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/349 b/reduced-wall-cost/349 new file mode 100644 index 00000000..1708f850 --- /dev/null +++ b/reduced-wall-cost/349 @@ -0,0 +1,5 @@ +20 +30 +5.0 +5662250955.46219 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/35 b/reduced-wall-cost/35 new file mode 100644 index 00000000..8f444f99 --- /dev/null +++ b/reduced-wall-cost/35 @@ -0,0 +1,5 @@ +0 +30 +3.0 +5444871009.0786 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/350 b/reduced-wall-cost/350 new file mode 100644 index 00000000..3a1d20a9 --- /dev/null +++ b/reduced-wall-cost/350 @@ -0,0 +1,5 @@ +20 +40 +0.5 +5443469676.27191 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/351 b/reduced-wall-cost/351 new file mode 100644 index 00000000..17bbd7ca --- /dev/null +++ b/reduced-wall-cost/351 @@ -0,0 +1,5 @@ +20 +40 +1.0 +5498141417.792341 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/352 b/reduced-wall-cost/352 new file mode 100644 index 00000000..f723cc01 --- /dev/null +++ b/reduced-wall-cost/352 @@ -0,0 +1,5 @@ +20 +40 +1.5 +5552821417.792341 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/353 b/reduced-wall-cost/353 new file mode 100644 index 00000000..deb83696 --- /dev/null +++ b/reduced-wall-cost/353 @@ -0,0 +1,5 @@ +20 +40 +2.0 +5607501417.792341 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/354 b/reduced-wall-cost/354 new file mode 100644 index 00000000..e5749d42 --- /dev/null +++ b/reduced-wall-cost/354 @@ -0,0 +1,5 @@ +20 +40 +2.5 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file diff --git a/reduced-wall-cost/359 b/reduced-wall-cost/359 new file mode 100644 index 00000000..7e0dbebe --- /dev/null +++ b/reduced-wall-cost/359 @@ -0,0 +1,5 @@ +20 +40 +5.0 +5935581417.792341 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/36 b/reduced-wall-cost/36 new file mode 100644 index 00000000..dd467ba0 --- /dev/null +++ b/reduced-wall-cost/36 @@ -0,0 +1,5 @@ +0 +30 +3.5 +5526891009.0786 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/360 b/reduced-wall-cost/360 new file mode 100644 index 00000000..442f8cfb --- /dev/null +++ b/reduced-wall-cost/360 @@ -0,0 +1,5 @@ +20 +50 +0.5 +5470809213.829863 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/361 b/reduced-wall-cost/361 new file mode 100644 index 00000000..e59f8b37 --- /dev/null +++ b/reduced-wall-cost/361 @@ -0,0 +1,5 @@ +20 +50 +1.0 +5552820883.34148 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/362 b/reduced-wall-cost/362 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file diff --git a/reduced-wall-cost/374 b/reduced-wall-cost/374 new file mode 100644 index 00000000..f7bbba41 --- /dev/null +++ b/reduced-wall-cost/374 @@ -0,0 +1,5 @@ +20 +61 +2.5 +5948311109.597495 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/375 b/reduced-wall-cost/375 new file mode 100644 index 00000000..3f1b12d2 --- /dev/null +++ b/reduced-wall-cost/375 @@ -0,0 +1,5 @@ +20 +61 +3.0 +6060405109.597495 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/376 b/reduced-wall-cost/376 new file mode 100644 index 00000000..6367ca1b --- /dev/null +++ b/reduced-wall-cost/376 @@ -0,0 +1,5 @@ +20 +61 +3.5 +6172499109.597495 +784658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/377 b/reduced-wall-cost/377 new file mode 100644 index 00000000..99d8090e --- /dev/null +++ b/reduced-wall-cost/377 @@ -0,0 +1,5 @@ +20 +61 +4.0 +6284593109.597495 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/378 b/reduced-wall-cost/378 new file mode 100644 index 00000000..57a31a0f --- /dev/null +++ b/reduced-wall-cost/378 @@ -0,0 +1,5 @@ +20 +61 +4.5 +6396687109.597495 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/379 b/reduced-wall-cost/379 new file mode 100644 index 00000000..a896a43d --- /dev/null +++ b/reduced-wall-cost/379 @@ -0,0 +1,5 @@ +20 +61 +5.0 +6508781109.597495 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/38 b/reduced-wall-cost/38 new file mode 100644 index 00000000..2ce2aeb2 --- /dev/null +++ b/reduced-wall-cost/38 @@ -0,0 +1,5 @@ +0 +30 +4.5 +5690931009.0786 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/380 b/reduced-wall-cost/380 new file mode 100644 index 00000000..5b9993b7 --- /dev/null +++ b/reduced-wall-cost/380 @@ -0,0 +1,5 @@ +20 +71 +0.5 +5528223213.829863 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/381 b/reduced-wall-cost/381 new file mode 100644 index 00000000..06830ae9 --- /dev/null +++ b/reduced-wall-cost/381 @@ -0,0 +1,5 @@ +20 +71 +1.0 +5667629595.300969 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/382 b/reduced-wall-cost/382 new file mode 100644 index 00000000..1290bebc --- /dev/null +++ b/reduced-wall-cost/382 @@ -0,0 +1,5 @@ +20 +71 +1.5 +5806134754.755851 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/383 b/reduced-wall-cost/383 new file mode 100644 index 00000000..cdf2e042 --- /dev/null +++ b/reduced-wall-cost/383 @@ -0,0 +1,5 @@ +20 +71 +2.0 +5945283227.381708 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/384 b/reduced-wall-cost/384 new file mode 100644 index 00000000..4985dc1f --- /dev/null +++ b/reduced-wall-cost/384 @@ -0,0 +1,5 @@ +20 +71 +2.5 +6084729165.740534 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/385 b/reduced-wall-cost/385 new file mode 100644 index 00000000..6774d2e1 --- /dev/null +++ b/reduced-wall-cost/385 @@ -0,0 +1,5 @@ +20 +71 +3.0 +6224163165.740534 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/386 b/reduced-wall-cost/386 new file mode 100644 index 00000000..2898d0ca --- /dev/null +++ b/reduced-wall-cost/386 @@ -0,0 +1,5 @@ +20 +71 +3.5 +6363597165.740534 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/387 b/reduced-wall-cost/387 new file mode 100644 index 00000000..985859d7 --- /dev/null +++ b/reduced-wall-cost/387 @@ -0,0 +1,5 @@ +20 +71 +4.0 +6503031165.740534 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/388 b/reduced-wall-cost/388 new file mode 100644 index 00000000..10f387bd --- /dev/null +++ b/reduced-wall-cost/388 @@ -0,0 +1,5 @@ +20 +71 +4.5 +6642465165.740534 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/389 b/reduced-wall-cost/389 new file mode 100644 index 00000000..389141cb --- /dev/null +++ b/reduced-wall-cost/389 @@ -0,0 +1,5 @@ +20 +71 +5.0 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diff --git a/reduced-wall-cost/393 b/reduced-wall-cost/393 new file mode 100644 index 00000000..e17ff125 --- /dev/null +++ b/reduced-wall-cost/393 @@ -0,0 +1,5 @@ +20 +81 +2.0 +5058908360.174993 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/394 b/reduced-wall-cost/394 new file mode 100644 index 00000000..df4f2be8 --- /dev/null +++ b/reduced-wall-cost/394 @@ -0,0 +1,5 @@ +20 +81 +2.5 +5208926194.359863 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/395 b/reduced-wall-cost/395 new file mode 100644 index 00000000..31b45421 --- /dev/null +++ b/reduced-wall-cost/395 @@ -0,0 +1,5 @@ +20 +81 +3.0 +5372775866.039207 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/396 b/reduced-wall-cost/396 new file mode 100644 index 00000000..42f98506 --- /dev/null +++ b/reduced-wall-cost/396 @@ -0,0 +1,5 @@ +20 +81 +3.5 +5539489669.187226 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/397 b/reduced-wall-cost/397 new file mode 100644 index 00000000..011a2673 --- /dev/null +++ b/reduced-wall-cost/397 @@ -0,0 +1,5 @@ +20 +81 +4.0 +5706263669.187226 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/398 b/reduced-wall-cost/398 new file mode 100644 index 00000000..69cb7bcb --- /dev/null +++ b/reduced-wall-cost/398 @@ -0,0 +1,5 @@ +20 +81 +4.5 +5873037669.187226 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/399 b/reduced-wall-cost/399 new file mode 100644 index 00000000..d663d56e --- /dev/null +++ b/reduced-wall-cost/399 @@ -0,0 +1,5 @@ +20 +81 +5.0 +6039811669.187226 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/4 b/reduced-wall-cost/4 new file mode 100644 index 00000000..3a4a0ded --- /dev/null +++ b/reduced-wall-cost/4 @@ -0,0 +1,5 @@ +0 +0 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/40 b/reduced-wall-cost/40 new file mode 100644 index 00000000..9f16e568 --- /dev/null +++ b/reduced-wall-cost/40 @@ -0,0 +1,5 @@ +0 +40 +0.5 +5332725797.974178 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/400 b/reduced-wall-cost/400 new file mode 100644 index 00000000..3ebbea8e --- /dev/null +++ b/reduced-wall-cost/400 @@ -0,0 +1,5 @@ +20 +91 +0.5 +5581939091.023755 +194114000.0 \ No newline at end of file diff --git a/reduced-wall-cost/401 b/reduced-wall-cost/401 new file mode 100644 index 00000000..48ff82c3 --- /dev/null +++ b/reduced-wall-cost/401 @@ -0,0 +1,5 @@ +20 +91 +1.0 +5754717777.814065 +388228000.0 \ No newline at end of file diff --git a/reduced-wall-cost/402 b/reduced-wall-cost/402 new file mode 100644 index 00000000..791bdff6 --- /dev/null +++ b/reduced-wall-cost/402 @@ -0,0 +1,5 @@ +20 +91 +1.5 +5087618884.986156 +582342000.0 \ No newline at end of file diff --git a/reduced-wall-cost/403 b/reduced-wall-cost/403 new file mode 100644 index 00000000..972bf523 --- /dev/null +++ b/reduced-wall-cost/403 @@ -0,0 +1,5 @@ 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newline at end of file diff --git a/reduced-wall-cost/408 b/reduced-wall-cost/408 new file mode 100644 index 00000000..011869a6 --- /dev/null +++ b/reduced-wall-cost/408 @@ -0,0 +1,5 @@ +20 +91 +4.5 +5507534741.781093 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/409 b/reduced-wall-cost/409 new file mode 100644 index 00000000..7c0eb325 --- /dev/null +++ b/reduced-wall-cost/409 @@ -0,0 +1,5 @@ +20 +91 +5.0 +5701648741.781093 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/41 b/reduced-wall-cost/41 new file mode 100644 index 00000000..2e1c77cd --- /dev/null +++ b/reduced-wall-cost/41 @@ -0,0 +1,5 @@ +0 +40 +1.0 +5180838786.672545 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/410 b/reduced-wall-cost/410 new file mode 100644 index 00000000..9cdf815e --- /dev/null +++ b/reduced-wall-cost/410 @@ -0,0 +1,5 @@ +20 +101 +0.5 +5609279091.023755 +221454000.0 \ No newline at end of file diff --git a/reduced-wall-cost/411 b/reduced-wall-cost/411 new file mode 100644 index 00000000..b050308c --- /dev/null +++ b/reduced-wall-cost/411 @@ -0,0 +1,5 @@ +20 +101 +1.0 +5809397777.814065 +442908000.0 \ No newline at end of file diff --git a/reduced-wall-cost/412 b/reduced-wall-cost/412 new file mode 100644 index 00000000..8571fd8a --- /dev/null +++ b/reduced-wall-cost/412 @@ -0,0 +1,5 @@ +20 +101 +1.5 +5169517571.080864 +664362000.0 \ No newline at end of file diff --git a/reduced-wall-cost/413 b/reduced-wall-cost/413 new file mode 100644 index 00000000..98f8c22f --- /dev/null +++ b/reduced-wall-cost/413 @@ -0,0 +1,5 @@ +20 +101 +2.0 +4810093445.271087 +885816000.0 \ No newline at end of file diff --git a/reduced-wall-cost/414 b/reduced-wall-cost/414 new file mode 100644 index 00000000..386a4921 --- /dev/null +++ b/reduced-wall-cost/414 @@ -0,0 +1,5 @@ +20 +101 +2.5 +4914387348.938877 +1107270000.0 \ No newline at end of file diff --git a/reduced-wall-cost/415 b/reduced-wall-cost/415 new file mode 100644 index 00000000..ac9c83e0 --- /dev/null +++ b/reduced-wall-cost/415 @@ -0,0 +1,5 @@ +20 +101 +3.0 +5098782600.463096 +1328724000.0 \ No newline at end of file diff --git a/reduced-wall-cost/416 b/reduced-wall-cost/416 new file mode 100644 index 00000000..768aebd9 --- /dev/null +++ b/reduced-wall-cost/416 @@ -0,0 +1,5 @@ +20 +101 +3.5 +5302227054.581315 +1550178000.0 \ No newline at end of file diff --git a/reduced-wall-cost/417 b/reduced-wall-cost/417 new file mode 100644 index 00000000..a759e054 --- /dev/null +++ b/reduced-wall-cost/417 @@ -0,0 +1,5 @@ +20 +101 +4.0 +5523681054.581315 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/418 b/reduced-wall-cost/418 new file mode 100644 index 00000000..a9c16b37 --- /dev/null +++ b/reduced-wall-cost/418 @@ -0,0 +1,5 @@ +20 +101 +4.5 +5745135054.581315 +1993086000.0 \ No newline at end of file diff --git a/reduced-wall-cost/419 b/reduced-wall-cost/419 new file mode 100644 index 00000000..9c015d2c --- /dev/null +++ b/reduced-wall-cost/419 @@ -0,0 +1,5 @@ +20 +101 +5.0 +5966589054.581315 +2214540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/42 b/reduced-wall-cost/42 new file mode 100644 index 00000000..9c337d8a --- /dev/null +++ b/reduced-wall-cost/42 @@ -0,0 +1,5 @@ +0 +40 +1.5 +5257784000.945508 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/420 b/reduced-wall-cost/420 new file mode 100644 index 00000000..7a271c00 --- /dev/null +++ b/reduced-wall-cost/420 @@ -0,0 +1,5 @@ +20 +112 +0.5 +5600647518.08589 +251528000.0 \ No newline at end of file diff --git a/reduced-wall-cost/421 b/reduced-wall-cost/421 new file mode 100644 index 00000000..626bd1e8 --- /dev/null +++ b/reduced-wall-cost/421 @@ -0,0 +1,5 @@ +20 +112 +1.0 +5805250835.747359 +503056000.0 \ No newline at end of file diff --git a/reduced-wall-cost/422 b/reduced-wall-cost/422 new file mode 100644 index 00000000..befe5c68 --- /dev/null +++ b/reduced-wall-cost/422 @@ -0,0 +1,5 @@ +20 +112 +1.5 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end of file diff --git a/reduced-wall-cost/427 b/reduced-wall-cost/427 new file mode 100644 index 00000000..117f8a91 --- /dev/null +++ b/reduced-wall-cost/427 @@ -0,0 +1,5 @@ +20 +112 +4.0 +4604452160.370647 +2012224000.0 \ No newline at end of file diff --git a/reduced-wall-cost/428 b/reduced-wall-cost/428 new file mode 100644 index 00000000..278c8172 --- /dev/null +++ b/reduced-wall-cost/428 @@ -0,0 +1,5 @@ +20 +112 +4.5 +4855980160.370647 +2263752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/429 b/reduced-wall-cost/429 new file mode 100644 index 00000000..2509fe19 --- /dev/null +++ b/reduced-wall-cost/429 @@ -0,0 +1,5 @@ +20 +112 +5.0 +5107508160.370647 +2515280000.0 \ No newline at end of file diff --git a/reduced-wall-cost/43 b/reduced-wall-cost/43 new file mode 100644 index 00000000..2c24c94e --- /dev/null +++ b/reduced-wall-cost/43 @@ -0,0 +1,5 @@ +0 +40 +2.0 +5351510217.352134 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/430 b/reduced-wall-cost/430 new file mode 100644 index 00000000..6b8abd38 --- /dev/null +++ b/reduced-wall-cost/430 @@ -0,0 +1,5 @@ +20 +122 +0.5 +5626089526.389141 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/431 b/reduced-wall-cost/431 new file mode 100644 index 00000000..5ba116b9 --- /dev/null +++ b/reduced-wall-cost/431 @@ -0,0 +1,5 @@ +20 +122 +1.0 +5854374853.590027 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/432 b/reduced-wall-cost/432 new file mode 100644 index 00000000..707b4b93 --- /dev/null +++ b/reduced-wall-cost/432 @@ -0,0 +1,5 @@ +20 +122 +1.5 +5370119746.313735 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/433 b/reduced-wall-cost/433 new file mode 100644 index 00000000..34a8e8ed --- /dev/null +++ b/reduced-wall-cost/433 @@ -0,0 +1,5 @@ +20 +122 +2.0 +3934319914.7053723 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/434 b/reduced-wall-cost/434 new file mode 100644 index 00000000..39036d00 --- /dev/null +++ b/reduced-wall-cost/434 @@ -0,0 +1,5 @@ +20 +122 +2.5 +3846996808.9970374 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/435 b/reduced-wall-cost/435 new file mode 100644 index 00000000..d2b74065 --- /dev/null +++ b/reduced-wall-cost/435 @@ -0,0 +1,5 @@ +20 +122 +3.0 +4032650412.2581377 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/436 b/reduced-wall-cost/436 new file mode 100644 index 00000000..e762a446 --- /dev/null +++ b/reduced-wall-cost/436 @@ -0,0 +1,5 @@ +20 +122 +3.5 +4158569577.2753468 +1952076000.0 \ No newline at end of file diff --git a/reduced-wall-cost/437 b/reduced-wall-cost/437 new file mode 100644 index 00000000..76706d9b --- /dev/null +++ b/reduced-wall-cost/437 @@ -0,0 +1,5 @@ +20 +122 +4.0 +4437437577.275346 +2230944000.0 \ No newline at end of file diff --git a/reduced-wall-cost/438 b/reduced-wall-cost/438 new file mode 100644 index 00000000..9c196885 --- /dev/null +++ b/reduced-wall-cost/438 @@ -0,0 +1,5 @@ +20 +122 +4.5 +4716305577.275346 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/439 b/reduced-wall-cost/439 new file mode 100644 index 00000000..1e6965d6 --- /dev/null +++ b/reduced-wall-cost/439 @@ -0,0 +1,5 @@ +20 +122 +5.0 +4995173577.275346 +2788680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/44 b/reduced-wall-cost/44 new file mode 100644 index 00000000..e2ede513 --- /dev/null +++ b/reduced-wall-cost/44 @@ -0,0 +1,5 @@ +0 +40 +2.5 +5460847357.476379 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/440 b/reduced-wall-cost/440 new file mode 100644 index 00000000..e3948b44 --- /dev/null +++ b/reduced-wall-cost/440 @@ -0,0 +1,5 @@ +20 +132 +0.5 +5649363241.134699 +306208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/441 b/reduced-wall-cost/441 new file mode 100644 index 00000000..fe03d8bb --- /dev/null +++ b/reduced-wall-cost/441 @@ -0,0 +1,5 @@ +20 +132 +1.0 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at end of file diff --git a/reduced-wall-cost/446 b/reduced-wall-cost/446 new file mode 100644 index 00000000..ce2a797a --- /dev/null +++ b/reduced-wall-cost/446 @@ -0,0 +1,5 @@ +20 +132 +3.5 +4315840199.395721 +2143456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/447 b/reduced-wall-cost/447 new file mode 100644 index 00000000..f729eebd --- /dev/null +++ b/reduced-wall-cost/447 @@ -0,0 +1,5 @@ +20 +132 +4.0 +4622048199.395721 +2449664000.0 \ No newline at end of file diff --git a/reduced-wall-cost/448 b/reduced-wall-cost/448 new file mode 100644 index 00000000..415d7e24 --- /dev/null +++ b/reduced-wall-cost/448 @@ -0,0 +1,5 @@ +20 +132 +4.5 +4928256199.395721 +2755872000.0 \ No newline at end of file diff --git a/reduced-wall-cost/449 b/reduced-wall-cost/449 new file mode 100644 index 00000000..4b7757b3 --- /dev/null +++ b/reduced-wall-cost/449 @@ -0,0 +1,5 @@ +20 +132 +5.0 +5234464199.395721 +3062080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/45 b/reduced-wall-cost/45 new file mode 100644 index 00000000..9afe0ef3 --- /dev/null +++ b/reduced-wall-cost/45 @@ -0,0 +1,5 @@ +0 +40 +3.0 +5570207357.476379 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/450 b/reduced-wall-cost/450 new file mode 100644 index 00000000..cb716528 --- /dev/null +++ b/reduced-wall-cost/450 @@ -0,0 +1,5 @@ +20 +142 +0.5 +5619312769.615887 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/451 b/reduced-wall-cost/451 new file mode 100644 index 00000000..43407e41 --- /dev/null +++ b/reduced-wall-cost/451 @@ -0,0 +1,5 @@ +20 +142 +1.0 +5882804930.801529 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/452 b/reduced-wall-cost/452 new file mode 100644 index 00000000..4ff43650 --- /dev/null +++ b/reduced-wall-cost/452 @@ -0,0 +1,5 @@ +20 +142 +1.5 +5441302858.942902 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/453 b/reduced-wall-cost/453 new file mode 100644 index 00000000..ba768bd6 --- /dev/null +++ b/reduced-wall-cost/453 @@ -0,0 +1,5 @@ +20 +142 +2.0 +4029083134.6906853 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/454 b/reduced-wall-cost/454 new file mode 100644 index 00000000..8a3196af --- /dev/null +++ b/reduced-wall-cost/454 @@ -0,0 +1,5 @@ +20 +142 +2.5 +3979815259.2888894 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/455 b/reduced-wall-cost/455 new file mode 100644 index 00000000..4c958dbc --- /dev/null +++ b/reduced-wall-cost/455 @@ -0,0 +1,5 @@ +20 +142 +3.0 +4219647081.1711826 +2001288000.0 \ No newline at end of file diff --git a/reduced-wall-cost/456 b/reduced-wall-cost/456 new file mode 100644 index 00000000..d2ec2bb8 --- /dev/null +++ b/reduced-wall-cost/456 @@ -0,0 +1,5 @@ +20 +142 +3.5 +4395073902.320713 +2334836000.0 \ No newline at end of file diff --git a/reduced-wall-cost/457 b/reduced-wall-cost/457 new file mode 100644 index 00000000..485bb1ee --- /dev/null +++ b/reduced-wall-cost/457 @@ -0,0 +1,5 @@ +20 +142 +4.0 +4728621902.320713 +2668384000.0 \ No newline at end of file diff --git a/reduced-wall-cost/458 b/reduced-wall-cost/458 new file mode 100644 index 00000000..e01362bf --- /dev/null +++ b/reduced-wall-cost/458 @@ -0,0 +1,5 @@ +20 +142 +4.5 +5062169902.320713 +3001932000.0 \ No newline at end of file diff --git a/reduced-wall-cost/459 b/reduced-wall-cost/459 new file mode 100644 index 00000000..6bd5fb2d --- /dev/null +++ b/reduced-wall-cost/459 @@ -0,0 +1,5 @@ +20 +142 +5.0 +5395717902.320713 +3335480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/46 b/reduced-wall-cost/46 new file mode 100644 index 00000000..bc378ec4 --- /dev/null +++ b/reduced-wall-cost/46 @@ -0,0 +1,5 @@ +0 +40 +3.5 +5679567357.476379 +765520000.0 \ No newline at end of file diff --git a/reduced-wall-cost/460 b/reduced-wall-cost/460 new file mode 100644 index 00000000..56de3848 --- /dev/null +++ b/reduced-wall-cost/460 @@ -0,0 +1,5 @@ +20 +152 +0.5 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end of file diff --git a/reduced-wall-cost/465 b/reduced-wall-cost/465 new file mode 100644 index 00000000..6464921a --- /dev/null +++ b/reduced-wall-cost/465 @@ -0,0 +1,5 @@ +20 +152 +3.0 +4060780542.652005 +2165328000.0 \ No newline at end of file diff --git a/reduced-wall-cost/466 b/reduced-wall-cost/466 new file mode 100644 index 00000000..2860d30b --- /dev/null +++ b/reduced-wall-cost/466 @@ -0,0 +1,5 @@ +20 +152 +3.5 +4258886078.2329054 +2526216000.0 \ No newline at end of file diff --git a/reduced-wall-cost/467 b/reduced-wall-cost/467 new file mode 100644 index 00000000..ddea3457 --- /dev/null +++ b/reduced-wall-cost/467 @@ -0,0 +1,5 @@ +20 +152 +4.0 +4619774078.232905 +2887104000.0 \ No newline at end of file diff --git a/reduced-wall-cost/468 b/reduced-wall-cost/468 new file mode 100644 index 00000000..6e9c7a95 --- /dev/null +++ b/reduced-wall-cost/468 @@ -0,0 +1,5 @@ +20 +152 +4.5 +4980662078.232905 +3247992000.0 \ No newline at end of file diff --git a/reduced-wall-cost/469 b/reduced-wall-cost/469 new file mode 100644 index 00000000..55a91bb7 --- /dev/null +++ b/reduced-wall-cost/469 @@ -0,0 +1,5 @@ +20 +152 +5.0 +5341550078.232905 +3608880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/47 b/reduced-wall-cost/47 new file mode 100644 index 00000000..2d854d38 --- /dev/null +++ b/reduced-wall-cost/47 @@ -0,0 +1,5 @@ +0 +40 +4.0 +5788927357.476379 +874880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/470 b/reduced-wall-cost/470 new file mode 100644 index 00000000..c3eadcd9 --- /dev/null +++ b/reduced-wall-cost/470 @@ -0,0 +1,5 @@ +20 +163 +0.5 +5065442409.959786 +390962000.0 \ No newline at end of file diff --git a/reduced-wall-cost/471 b/reduced-wall-cost/471 new file mode 100644 index 00000000..3880221e --- /dev/null +++ b/reduced-wall-cost/471 @@ -0,0 +1,5 @@ +20 +163 +1.0 +5214341197.205416 +781924000.0 \ No newline at end of file diff --git a/reduced-wall-cost/472 b/reduced-wall-cost/472 new file mode 100644 index 00000000..f0a76b3e --- /dev/null +++ b/reduced-wall-cost/472 @@ -0,0 +1,5 @@ +20 +163 +1.5 +4712836516.582836 +1172886000.0 \ No newline at end of file diff --git a/reduced-wall-cost/473 b/reduced-wall-cost/473 new file mode 100644 index 00000000..75528051 --- /dev/null +++ b/reduced-wall-cost/473 @@ -0,0 +1,5 @@ +20 +163 +2.0 +3216485731.040951 +1563848000.0 \ No newline at end of file diff --git a/reduced-wall-cost/474 b/reduced-wall-cost/474 new file mode 100644 index 00000000..2231a00d --- /dev/null +++ b/reduced-wall-cost/474 @@ -0,0 +1,5 @@ +20 +163 +2.5 +3227642791.28345 +1954810000.0 \ No newline at end of file diff --git a/reduced-wall-cost/475 b/reduced-wall-cost/475 new file mode 100644 index 00000000..ed14318c --- /dev/null +++ b/reduced-wall-cost/475 @@ -0,0 +1,5 @@ +20 +163 +3.0 +3527416425.8950434 +2345772000.0 \ No newline at end of file diff --git a/reduced-wall-cost/476 b/reduced-wall-cost/476 new file mode 100644 index 00000000..8296c2b0 --- /dev/null +++ b/reduced-wall-cost/476 @@ -0,0 +1,5 @@ +20 +163 +3.5 +3757771966.9084463 +2736734000.0 \ No newline at end of file diff --git a/reduced-wall-cost/477 b/reduced-wall-cost/477 new file mode 100644 index 00000000..095529bb --- /dev/null +++ b/reduced-wall-cost/477 @@ -0,0 +1,5 @@ +20 +163 +4.0 +4148733966.9084463 +3127696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/478 b/reduced-wall-cost/478 new file mode 100644 index 00000000..28854e47 --- /dev/null +++ b/reduced-wall-cost/478 @@ -0,0 +1,5 @@ +20 +163 +4.5 +4539695966.908446 +3518658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/479 b/reduced-wall-cost/479 new file mode 100644 index 00000000..af106b3b --- /dev/null +++ b/reduced-wall-cost/479 @@ -0,0 +1,5 @@ +20 +163 +5.0 +4930657966.908446 +3909620000.0 \ No newline at end of file diff --git a/reduced-wall-cost/48 b/reduced-wall-cost/48 new file mode 100644 index 00000000..892bade1 --- /dev/null +++ b/reduced-wall-cost/48 @@ -0,0 +1,5 @@ +0 +40 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a/reduced-wall-cost/484 b/reduced-wall-cost/484 new file mode 100644 index 00000000..bfec9e40 --- /dev/null +++ b/reduced-wall-cost/484 @@ -0,0 +1,5 @@ +30 +30 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/485 b/reduced-wall-cost/485 new file mode 100644 index 00000000..c8738bd5 --- /dev/null +++ b/reduced-wall-cost/485 @@ -0,0 +1,5 @@ +30 +30 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/486 b/reduced-wall-cost/486 new file mode 100644 index 00000000..74ccd715 --- /dev/null +++ b/reduced-wall-cost/486 @@ -0,0 +1,5 @@ +30 +30 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/487 b/reduced-wall-cost/487 new file mode 100644 index 00000000..d389bec8 --- /dev/null +++ b/reduced-wall-cost/487 @@ -0,0 +1,5 @@ +30 +30 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/488 b/reduced-wall-cost/488 new file mode 100644 index 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at end of file diff --git a/reduced-wall-cost/496 b/reduced-wall-cost/496 new file mode 100644 index 00000000..9db54aef --- /dev/null +++ b/reduced-wall-cost/496 @@ -0,0 +1,5 @@ +30 +40 +3.5 +5580313528.139369 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/497 b/reduced-wall-cost/497 new file mode 100644 index 00000000..89fd4c8b --- /dev/null +++ b/reduced-wall-cost/497 @@ -0,0 +1,5 @@ +30 +40 +4.0 +5607653528.139369 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/498 b/reduced-wall-cost/498 new file mode 100644 index 00000000..57ee53a4 --- /dev/null +++ b/reduced-wall-cost/498 @@ -0,0 +1,5 @@ +30 +40 +4.5 +5634993528.139369 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/499 b/reduced-wall-cost/499 new file mode 100644 index 00000000..f68ed62d --- /dev/null +++ b/reduced-wall-cost/499 @@ -0,0 +1,5 @@ +30 +40 +5.0 +5662333528.139369 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/5 b/reduced-wall-cost/5 new file mode 100644 index 00000000..254e97da --- /dev/null +++ b/reduced-wall-cost/5 @@ -0,0 +1,5 @@ +0 +0 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/50 b/reduced-wall-cost/50 new file mode 100644 index 00000000..81b5a4ce --- /dev/null +++ b/reduced-wall-cost/50 @@ -0,0 +1,5 @@ +0 +50 +0.5 +5360064282.849134 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/500 b/reduced-wall-cost/500 new file mode 100644 index 00000000..3ed520ac --- /dev/null +++ b/reduced-wall-cost/500 @@ -0,0 +1,5 @@ +30 +50 +0.5 +5443613103.006453 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/501 b/reduced-wall-cost/501 new file mode 100644 index 00000000..ae90701e --- /dev/null +++ b/reduced-wall-cost/501 @@ -0,0 +1,5 @@ +30 +50 +1.0 +5498293103.006453 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/502 b/reduced-wall-cost/502 new file mode 100644 index 00000000..4a13ebcd --- 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end of file diff --git a/reduced-wall-cost/510 b/reduced-wall-cost/510 new file mode 100644 index 00000000..09178e11 --- /dev/null +++ b/reduced-wall-cost/510 @@ -0,0 +1,5 @@ +30 +61 +0.5 +5473687103.006453 +84754000.0 \ No newline at end of file diff --git a/reduced-wall-cost/511 b/reduced-wall-cost/511 new file mode 100644 index 00000000..8783d8db --- /dev/null +++ b/reduced-wall-cost/511 @@ -0,0 +1,5 @@ +30 +61 +1.0 +5558438166.603492 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/512 b/reduced-wall-cost/512 new file mode 100644 index 00000000..fd031821 --- /dev/null +++ b/reduced-wall-cost/512 @@ -0,0 +1,5 @@ +30 +61 +1.5 +5642414799.721098 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/513 b/reduced-wall-cost/513 new file mode 100644 index 00000000..651dff16 --- /dev/null +++ b/reduced-wall-cost/513 @@ -0,0 +1,5 @@ +30 +61 +2.0 +5727010030.87173 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/514 b/reduced-wall-cost/514 new file mode 100644 index 00000000..af4b16de --- /dev/null +++ b/reduced-wall-cost/514 @@ -0,0 +1,5 @@ +30 +61 +2.5 +5811764030.87173 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/515 b/reduced-wall-cost/515 new file mode 100644 index 00000000..af305090 --- /dev/null +++ b/reduced-wall-cost/515 @@ -0,0 +1,5 @@ +30 +61 +3.0 +5896518030.87173 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/516 b/reduced-wall-cost/516 new file mode 100644 index 00000000..0d4064ae --- /dev/null +++ b/reduced-wall-cost/516 @@ -0,0 +1,5 @@ +30 +61 +3.5 +5981272030.87173 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/517 b/reduced-wall-cost/517 new file mode 100644 index 00000000..1b73bcd4 --- /dev/null +++ b/reduced-wall-cost/517 @@ -0,0 +1,5 @@ +30 +61 +4.0 +6066026030.87173 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/518 b/reduced-wall-cost/518 new file mode 100644 index 00000000..3cdf7083 --- /dev/null +++ b/reduced-wall-cost/518 @@ -0,0 +1,5 @@ +30 +61 +4.5 +6150780030.87173 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/519 b/reduced-wall-cost/519 new file mode 100644 index 00000000..a2328df5 --- /dev/null +++ b/reduced-wall-cost/519 @@ -0,0 +1,5 @@ +30 +61 +5.0 +6235534030.87173 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/52 b/reduced-wall-cost/52 new file mode 100644 index 00000000..637a8e90 --- /dev/null +++ b/reduced-wall-cost/52 @@ -0,0 +1,5 @@ +0 +50 +1.5 +5339787867.968172 +410100000.0 \ No newline at end of file diff --git a/reduced-wall-cost/520 b/reduced-wall-cost/520 new file mode 100644 index 00000000..0cc8a0c7 --- /dev/null +++ b/reduced-wall-cost/520 @@ -0,0 +1,5 @@ +30 +71 +0.5 +5501027103.006453 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/521 b/reduced-wall-cost/521 new file mode 100644 index 00000000..c21593c6 --- /dev/null +++ b/reduced-wall-cost/521 @@ -0,0 +1,5 @@ +30 +71 +1.0 +5613114046.615372 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/522 b/reduced-wall-cost/522 new file mode 100644 index 00000000..6c729513 --- /dev/null +++ b/reduced-wall-cost/522 @@ -0,0 +1,5 @@ +30 +71 +1.5 +5724325869.0745535 +336282000.0 \ No newline at end of file diff --git a/reduced-wall-cost/523 b/reduced-wall-cost/523 new file mode 100644 index 00000000..0fd62664 --- /dev/null +++ b/reduced-wall-cost/523 @@ -0,0 +1,5 @@ +30 +71 +2.0 +5836193133.223073 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/524 b/reduced-wall-cost/524 new file mode 100644 index 00000000..eae3d180 --- /dev/null +++ b/reduced-wall-cost/524 @@ -0,0 +1,5 @@ +30 +71 +2.5 +5948316304.325909 +560470000.0 \ No newline at end of file diff --git a/reduced-wall-cost/525 b/reduced-wall-cost/525 new file mode 100644 index 00000000..36dc13c1 --- /dev/null +++ b/reduced-wall-cost/525 @@ -0,0 +1,5 @@ +30 +71 +3.0 +6060410304.325909 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a/reduced-wall-cost/53 b/reduced-wall-cost/53 new file mode 100644 index 00000000..eeb5a5fe --- /dev/null +++ b/reduced-wall-cost/53 @@ -0,0 +1,5 @@ +0 +50 +2.0 +5460859680.728663 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/530 b/reduced-wall-cost/530 new file mode 100644 index 00000000..4e517d2d --- /dev/null +++ b/reduced-wall-cost/530 @@ -0,0 +1,5 @@ +30 +81 +0.5 +5528328593.942076 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/531 b/reduced-wall-cost/531 new file mode 100644 index 00000000..215bda82 --- /dev/null +++ b/reduced-wall-cost/531 @@ -0,0 +1,5 @@ +30 +81 +1.0 +5648987463.964355 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/532 b/reduced-wall-cost/532 new file mode 100644 index 00000000..814ee118 --- /dev/null +++ b/reduced-wall-cost/532 @@ -0,0 +1,5 @@ +30 +81 +1.5 +5178112036.910304 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/533 b/reduced-wall-cost/533 new file 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b/reduced-wall-cost/537 @@ -0,0 +1,5 @@ +30 +81 +4.0 +5525170063.655669 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/538 b/reduced-wall-cost/538 new file mode 100644 index 00000000..f7ef8864 --- /dev/null +++ b/reduced-wall-cost/538 @@ -0,0 +1,5 @@ +30 +81 +4.5 +5664604063.655669 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/539 b/reduced-wall-cost/539 new file mode 100644 index 00000000..711532ca --- /dev/null +++ b/reduced-wall-cost/539 @@ -0,0 +1,5 @@ +30 +81 +5.0 +5804038063.655669 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/54 b/reduced-wall-cost/54 new file mode 100644 index 00000000..79dcc1a8 --- /dev/null +++ b/reduced-wall-cost/54 @@ -0,0 +1,5 @@ +0 +50 +2.5 +5597536849.768163 +683500000.0 \ No newline at end of file diff --git a/reduced-wall-cost/540 b/reduced-wall-cost/540 new file mode 100644 index 00000000..0e1200e7 --- /dev/null +++ b/reduced-wall-cost/540 @@ -0,0 +1,5 @@ +30 +91 +0.5 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diff --git a/reduced-wall-cost/545 b/reduced-wall-cost/545 new file mode 100644 index 00000000..4fcb3f11 --- /dev/null +++ b/reduced-wall-cost/545 @@ -0,0 +1,5 @@ +30 +91 +3.0 +5041360233.2517 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/546 b/reduced-wall-cost/546 new file mode 100644 index 00000000..ee12cee8 --- /dev/null +++ b/reduced-wall-cost/546 @@ -0,0 +1,5 @@ +30 +91 +3.5 +5207964289.966172 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/547 b/reduced-wall-cost/547 new file mode 100644 index 00000000..615baefe --- /dev/null +++ b/reduced-wall-cost/547 @@ -0,0 +1,5 @@ +30 +91 +4.0 +5374738289.966172 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/548 b/reduced-wall-cost/548 new file mode 100644 index 00000000..ddc655b1 --- /dev/null +++ b/reduced-wall-cost/548 @@ -0,0 +1,5 @@ +30 +91 +4.5 +5541512289.966172 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/549 b/reduced-wall-cost/549 new file mode 100644 index 00000000..c31d514a --- /dev/null +++ b/reduced-wall-cost/549 @@ -0,0 +1,5 @@ +30 +91 +5.0 +5708286289.966172 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/55 b/reduced-wall-cost/55 new file mode 100644 index 00000000..099b0331 --- /dev/null +++ b/reduced-wall-cost/55 @@ -0,0 +1,5 @@ +0 +50 +3.0 +5734236849.768163 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/550 b/reduced-wall-cost/550 new file mode 100644 index 00000000..405e34f3 --- /dev/null +++ b/reduced-wall-cost/550 @@ -0,0 +1,5 @@ +30 +101 +0.5 +5582082979.98007 +194114000.0 \ No newline at end of file diff --git a/reduced-wall-cost/551 b/reduced-wall-cost/551 new file mode 100644 index 00000000..1d24b143 --- /dev/null +++ b/reduced-wall-cost/551 @@ -0,0 +1,5 @@ +30 +101 +1.0 +5755681501.833723 +388228000.0 \ No newline at end of file diff --git a/reduced-wall-cost/552 b/reduced-wall-cost/552 new file mode 100644 index 00000000..71402ed1 --- /dev/null +++ b/reduced-wall-cost/552 @@ -0,0 +1,5 @@ +30 +101 +1.5 +5104183644.910157 +582342000.0 \ No newline at end of file diff --git a/reduced-wall-cost/553 b/reduced-wall-cost/553 new file mode 100644 index 00000000..65ac3a98 --- /dev/null +++ b/reduced-wall-cost/553 @@ -0,0 +1,5 @@ +30 +101 +2.0 +4881217597.580275 +776456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/554 b/reduced-wall-cost/554 new file mode 100644 index 00000000..8461dced --- /dev/null +++ b/reduced-wall-cost/554 @@ -0,0 +1,5 @@ +30 +101 +2.5 +5015869505.00728 +970570000.0 \ No newline at end of file diff --git a/reduced-wall-cost/555 b/reduced-wall-cost/555 new file mode 100644 index 00000000..e4b90990 --- /dev/null +++ b/reduced-wall-cost/555 @@ -0,0 +1,5 @@ +30 +101 +3.0 +5204762528.254789 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/556 b/reduced-wall-cost/556 new file mode 100644 index 00000000..f15918e3 --- /dev/null +++ b/reduced-wall-cost/556 @@ -0,0 +1,5 @@ +30 +101 +3.5 +5398703346.383714 +1358798000.0 \ No newline at end of file diff --git a/reduced-wall-cost/557 b/reduced-wall-cost/557 new file mode 100644 index 00000000..65139ef2 --- /dev/null +++ b/reduced-wall-cost/557 @@ -0,0 +1,5 @@ +30 +101 +4.0 +5592817346.383714 +1552912000.0 \ No newline at end of file diff --git a/reduced-wall-cost/558 b/reduced-wall-cost/558 new file mode 100644 index 00000000..ffc284c3 --- /dev/null +++ b/reduced-wall-cost/558 @@ -0,0 +1,5 @@ +30 +101 +4.5 +5786931346.383714 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/559 b/reduced-wall-cost/559 new file mode 100644 index 00000000..dd356f4d --- /dev/null +++ b/reduced-wall-cost/559 @@ -0,0 +1,5 @@ +30 +101 +5.0 +5981045346.383714 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/56 b/reduced-wall-cost/56 new file mode 100644 index 00000000..44ed7ff8 --- /dev/null +++ b/reduced-wall-cost/56 @@ -0,0 +1,5 @@ +0 +50 +3.5 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end of file diff --git a/reduced-wall-cost/564 b/reduced-wall-cost/564 new file mode 100644 index 00000000..131a5961 --- /dev/null +++ b/reduced-wall-cost/564 @@ -0,0 +1,5 @@ +30 +112 +2.5 +4031969596.3741245 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/565 b/reduced-wall-cost/565 new file mode 100644 index 00000000..8987da35 --- /dev/null +++ b/reduced-wall-cost/565 @@ -0,0 +1,5 @@ +30 +112 +3.0 +4242636878.9376087 +1345128000.0 \ No newline at end of file diff --git a/reduced-wall-cost/566 b/reduced-wall-cost/566 new file mode 100644 index 00000000..d2c037d6 --- /dev/null +++ b/reduced-wall-cost/566 @@ -0,0 +1,5 @@ +30 +112 +3.5 +4466409370.333593 +1569316000.0 \ No newline at end of file diff --git a/reduced-wall-cost/567 b/reduced-wall-cost/567 new file mode 100644 index 00000000..e36187a0 --- /dev/null +++ b/reduced-wall-cost/567 @@ -0,0 +1,5 @@ +30 +112 +4.0 +4690597370.333593 +1793504000.0 \ No newline at end of file diff --git a/reduced-wall-cost/568 b/reduced-wall-cost/568 new file mode 100644 index 00000000..ae4aa26d --- /dev/null +++ b/reduced-wall-cost/568 @@ -0,0 +1,5 @@ +30 +112 +4.5 +4914785370.333593 +2017692000.0 \ No newline at end of file diff --git a/reduced-wall-cost/569 b/reduced-wall-cost/569 new file mode 100644 index 00000000..545f6b5f --- /dev/null +++ b/reduced-wall-cost/569 @@ -0,0 +1,5 @@ +30 +112 +5.0 +5138973370.333593 +2241880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/57 b/reduced-wall-cost/57 new file mode 100644 index 00000000..6367c74c --- /dev/null +++ b/reduced-wall-cost/57 @@ -0,0 +1,5 @@ +0 +50 +4.0 +6007636849.768163 +1093600000.0 \ No newline at end of file diff --git a/reduced-wall-cost/570 b/reduced-wall-cost/570 new file mode 100644 index 00000000..38b21103 --- /dev/null +++ b/reduced-wall-cost/570 @@ -0,0 +1,5 @@ +30 +122 +0.5 +5598893304.180486 +251528000.0 \ No newline at end of file diff --git a/reduced-wall-cost/571 b/reduced-wall-cost/571 new file mode 100644 index 00000000..957a014a --- /dev/null +++ b/reduced-wall-cost/571 @@ -0,0 +1,5 @@ +30 +122 +1.0 +5800656388.0833235 +503056000.0 \ No newline at end of file diff --git a/reduced-wall-cost/572 b/reduced-wall-cost/572 new file mode 100644 index 00000000..f96cee28 --- /dev/null +++ b/reduced-wall-cost/572 @@ -0,0 +1,5 @@ +30 +122 +1.5 +5304932817.458654 +754584000.0 \ No newline at end of file diff --git a/reduced-wall-cost/573 b/reduced-wall-cost/573 new file mode 100644 index 00000000..ce35cb5e --- /dev/null +++ b/reduced-wall-cost/573 @@ -0,0 +1,5 @@ +30 +122 +2.0 +4009626720.037273 +1006112000.0 \ No newline at end of file diff --git a/reduced-wall-cost/574 b/reduced-wall-cost/574 new file mode 100644 index 00000000..c9011d4a --- /dev/null +++ b/reduced-wall-cost/574 @@ -0,0 +1,5 @@ +30 +122 +2.5 +3948232112.1139708 +1257640000.0 \ No newline at end of file diff --git a/reduced-wall-cost/575 b/reduced-wall-cost/575 new file mode 100644 index 00000000..afe66d77 --- /dev/null +++ b/reduced-wall-cost/575 @@ -0,0 +1,5 @@ +30 +122 +3.0 +4138866424.5700717 +1509168000.0 \ No newline at end of file diff --git a/reduced-wall-cost/576 b/reduced-wall-cost/576 new file mode 100644 index 00000000..2974df85 --- /dev/null +++ b/reduced-wall-cost/576 @@ -0,0 +1,5 @@ +30 +122 +3.5 +4271607674.4911056 +1760696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/577 b/reduced-wall-cost/577 new file mode 100644 index 00000000..ea8b3422 --- /dev/null +++ b/reduced-wall-cost/577 @@ -0,0 +1,5 @@ +30 +122 +4.0 +4523135674.491105 +2012224000.0 \ No newline at end of file diff --git a/reduced-wall-cost/578 b/reduced-wall-cost/578 new file mode 100644 index 00000000..8cc77456 --- /dev/null +++ b/reduced-wall-cost/578 @@ -0,0 +1,5 @@ +30 +122 +4.5 +4774663674.491105 +2263752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/579 b/reduced-wall-cost/579 new file mode 100644 index 00000000..2ba9dc38 --- /dev/null +++ b/reduced-wall-cost/579 @@ -0,0 +1,5 @@ +30 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at end of file diff --git a/reduced-wall-cost/583 b/reduced-wall-cost/583 new file mode 100644 index 00000000..34dd496e --- /dev/null +++ b/reduced-wall-cost/583 @@ -0,0 +1,5 @@ +30 +132 +2.0 +4102113678.2463984 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/584 b/reduced-wall-cost/584 new file mode 100644 index 00000000..06eba45c --- /dev/null +++ b/reduced-wall-cost/584 @@ -0,0 +1,5 @@ +30 +132 +2.5 +4056382098.5025506 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/585 b/reduced-wall-cost/585 new file mode 100644 index 00000000..082a7dba --- /dev/null +++ b/reduced-wall-cost/585 @@ -0,0 +1,5 @@ +30 +132 +3.0 +4269255594.868454 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/586 b/reduced-wall-cost/586 new file mode 100644 index 00000000..a321ae1b --- /dev/null +++ b/reduced-wall-cost/586 @@ -0,0 +1,5 @@ +30 +132 +3.5 +4428784678.072675 +1952076000.0 \ No newline at end of file diff --git a/reduced-wall-cost/587 b/reduced-wall-cost/587 new file mode 100644 index 00000000..32909bc8 --- /dev/null +++ b/reduced-wall-cost/587 @@ -0,0 +1,5 @@ +30 +132 +4.0 +4707652678.072675 +2230944000.0 \ No newline at end of file diff --git a/reduced-wall-cost/588 b/reduced-wall-cost/588 new file mode 100644 index 00000000..66087de8 --- /dev/null +++ b/reduced-wall-cost/588 @@ -0,0 +1,5 @@ +30 +132 +4.5 +4986520678.072675 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/589 b/reduced-wall-cost/589 new file mode 100644 index 00000000..d800740c --- /dev/null +++ b/reduced-wall-cost/589 @@ -0,0 +1,5 @@ +30 +132 +5.0 +5265388678.072675 +2788680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/59 b/reduced-wall-cost/59 new file mode 100644 index 00000000..da159e7b --- /dev/null +++ b/reduced-wall-cost/59 @@ -0,0 +1,5 @@ +0 +50 +5.0 +6281036849.768163 +1367000000.0 \ No newline at end of file diff --git a/reduced-wall-cost/590 b/reduced-wall-cost/590 new file mode 100644 index 00000000..7561ae23 --- /dev/null +++ b/reduced-wall-cost/590 @@ -0,0 +1,5 @@ +30 +142 +0.5 +5592115399.291475 +306208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/591 b/reduced-wall-cost/591 new file mode 100644 index 00000000..30a84054 --- /dev/null +++ b/reduced-wall-cost/591 @@ -0,0 +1,5 @@ +30 +142 +1.0 +5829081380.491581 +612416000.0 \ No newline at end of file diff --git a/reduced-wall-cost/592 b/reduced-wall-cost/592 new file mode 100644 index 00000000..9af0455f --- /dev/null +++ b/reduced-wall-cost/592 @@ -0,0 +1,5 @@ +30 +142 +1.5 +5376094406.892211 +918624000.0 \ No newline at end of file diff --git a/reduced-wall-cost/593 b/reduced-wall-cost/593 new file mode 100644 index 00000000..0ab5483b --- /dev/null +++ b/reduced-wall-cost/593 @@ -0,0 +1,5 @@ +30 +142 +2.0 +4104147044.3949556 +1224832000.0 \ No newline at end of file diff --git a/reduced-wall-cost/594 b/reduced-wall-cost/594 new file mode 100644 index 00000000..829763de --- 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of file diff --git a/reduced-wall-cost/601 b/reduced-wall-cost/601 new file mode 100644 index 00000000..9cecf3f4 --- /dev/null +++ b/reduced-wall-cost/601 @@ -0,0 +1,5 @@ +30 +152 +1.0 +5582991912.188049 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/602 b/reduced-wall-cost/602 new file mode 100644 index 00000000..0dad9283 --- /dev/null +++ b/reduced-wall-cost/602 @@ -0,0 +1,5 @@ +30 +152 +1.5 +5132768403.910566 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/603 b/reduced-wall-cost/603 new file mode 100644 index 00000000..6dfcc11b --- /dev/null +++ b/reduced-wall-cost/603 @@ -0,0 +1,5 @@ +30 +152 +2.0 +3886369247.5144897 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/604 b/reduced-wall-cost/604 new file mode 100644 index 00000000..05d56125 --- /dev/null +++ b/reduced-wall-cost/604 @@ -0,0 +1,5 @@ +30 +152 +2.5 +3891680013.377184 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/605 b/reduced-wall-cost/605 new file mode 100644 index 00000000..b9841b10 --- /dev/null +++ b/reduced-wall-cost/605 @@ -0,0 +1,5 @@ +30 +152 +3.0 +4165903933.426657 +2001288000.0 \ No newline at end of file diff --git a/reduced-wall-cost/606 b/reduced-wall-cost/606 new file mode 100644 index 00000000..5eb56c0b --- /dev/null +++ b/reduced-wall-cost/606 @@ -0,0 +1,5 @@ +30 +152 +3.5 +4370525362.602254 +2334836000.0 \ No newline at end of file diff --git a/reduced-wall-cost/607 b/reduced-wall-cost/607 new file mode 100644 index 00000000..20652a11 --- /dev/null +++ b/reduced-wall-cost/607 @@ -0,0 +1,5 @@ +30 +152 +4.0 +4704073362.602254 +2668384000.0 \ No newline at end of file diff --git a/reduced-wall-cost/608 b/reduced-wall-cost/608 new file mode 100644 index 00000000..ed4a5888 --- /dev/null +++ b/reduced-wall-cost/608 @@ -0,0 +1,5 @@ +30 +152 +4.5 +5037621362.602254 +3001932000.0 \ No newline at end of file diff --git a/reduced-wall-cost/609 b/reduced-wall-cost/609 new file mode 100644 index 00000000..0363db01 --- /dev/null +++ b/reduced-wall-cost/609 @@ -0,0 +1,5 @@ +30 +152 +5.0 +5371169362.602254 +3335480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/61 b/reduced-wall-cost/61 new file mode 100644 index 00000000..592a2905 --- /dev/null +++ b/reduced-wall-cost/61 @@ -0,0 +1,5 @@ +0 +61 +1.0 +5294913022.321674 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/610 b/reduced-wall-cost/610 new file mode 100644 index 00000000..1ddd5caf --- /dev/null +++ b/reduced-wall-cost/610 @@ -0,0 +1,5 @@ +30 +163 +0.5 +5038243424.63019 +363622000.0 \ No newline at end of file diff --git a/reduced-wall-cost/611 b/reduced-wall-cost/611 new file mode 100644 index 00000000..04391423 --- /dev/null +++ b/reduced-wall-cost/611 @@ -0,0 +1,5 @@ +30 +163 +1.0 +5160609483.822207 +727244000.0 \ No newline at end of file diff --git a/reduced-wall-cost/612 b/reduced-wall-cost/612 new file mode 100644 index 00000000..db69d003 --- /dev/null +++ b/reduced-wall-cost/612 @@ -0,0 +1,5 @@ +30 +163 +1.5 +4647461007.260668 +1090866000.0 \ No newline at end of file diff --git a/reduced-wall-cost/613 b/reduced-wall-cost/613 new file mode 100644 index 00000000..48d9d592 --- /dev/null +++ b/reduced-wall-cost/613 @@ -0,0 +1,5 @@ +30 +163 +2.0 +3290009646.0483713 +1454488000.0 \ No newline at end of file diff --git a/reduced-wall-cost/614 b/reduced-wall-cost/614 new file mode 100644 index 00000000..7d592e6a --- /dev/null +++ b/reduced-wall-cost/614 @@ -0,0 +1,5 @@ +30 +163 +2.5 +3326424074.0783615 +1818110000.0 \ No newline at end of file diff --git a/reduced-wall-cost/615 b/reduced-wall-cost/615 new file mode 100644 index 00000000..790a20e7 --- /dev/null +++ b/reduced-wall-cost/615 @@ -0,0 +1,5 @@ +30 +163 +3.0 +3630649621.566487 +2181732000.0 \ No newline at end of file diff --git a/reduced-wall-cost/616 b/reduced-wall-cost/616 new file mode 100644 index 00000000..2ebc0913 --- /dev/null +++ b/reduced-wall-cost/616 @@ -0,0 +1,5 @@ +30 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newline at end of file diff --git a/reduced-wall-cost/620 b/reduced-wall-cost/620 new file mode 100644 index 00000000..4ccc4d72 --- /dev/null +++ b/reduced-wall-cost/620 @@ -0,0 +1,5 @@ +40 +40 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/621 b/reduced-wall-cost/621 new file mode 100644 index 00000000..b2d3cdc4 --- /dev/null +++ b/reduced-wall-cost/621 @@ -0,0 +1,5 @@ +40 +40 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/622 b/reduced-wall-cost/622 new file mode 100644 index 00000000..71c03306 --- /dev/null +++ b/reduced-wall-cost/622 @@ -0,0 +1,5 @@ +40 +40 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/623 b/reduced-wall-cost/623 new file mode 100644 index 00000000..b642399d --- /dev/null +++ b/reduced-wall-cost/623 @@ -0,0 +1,5 @@ +40 +40 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/624 b/reduced-wall-cost/624 new file 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--git a/reduced-wall-cost/632 b/reduced-wall-cost/632 new file mode 100644 index 00000000..691b4d31 --- /dev/null +++ b/reduced-wall-cost/632 @@ -0,0 +1,5 @@ +40 +50 +1.5 +5471115924.93267 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/633 b/reduced-wall-cost/633 new file mode 100644 index 00000000..18b7ff41 --- /dev/null +++ b/reduced-wall-cost/633 @@ -0,0 +1,5 @@ +40 +50 +2.0 +5498455924.93267 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/634 b/reduced-wall-cost/634 new file mode 100644 index 00000000..5129f745 --- /dev/null +++ b/reduced-wall-cost/634 @@ -0,0 +1,5 @@ +40 +50 +2.5 +5525795924.93267 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/635 b/reduced-wall-cost/635 new file mode 100644 index 00000000..d0345f80 --- /dev/null +++ b/reduced-wall-cost/635 @@ -0,0 +1,5 @@ +40 +50 +3.0 +5553135924.93267 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/636 b/reduced-wall-cost/636 new 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b/reduced-wall-cost/64 @@ -0,0 +1,5 @@ +0 +61 +2.5 +5685189881.518908 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/640 b/reduced-wall-cost/640 new file mode 100644 index 00000000..b7687204 --- /dev/null +++ b/reduced-wall-cost/640 @@ -0,0 +1,5 @@ +40 +61 +0.5 +5446509924.93267 +57414000.0 \ No newline at end of file diff --git a/reduced-wall-cost/641 b/reduced-wall-cost/641 new file mode 100644 index 00000000..ee8706be --- /dev/null +++ b/reduced-wall-cost/641 @@ -0,0 +1,5 @@ +40 +61 +1.0 +5503920988.529709 +114828000.0 \ No newline at end of file diff --git a/reduced-wall-cost/642 b/reduced-wall-cost/642 new file mode 100644 index 00000000..b2a86abd --- /dev/null +++ b/reduced-wall-cost/642 @@ -0,0 +1,5 @@ +40 +61 +1.5 +5560557621.647316 +172242000.0 \ No newline at end of file diff --git a/reduced-wall-cost/643 b/reduced-wall-cost/643 new file mode 100644 index 00000000..c99af38d --- /dev/null +++ b/reduced-wall-cost/643 @@ -0,0 +1,5 @@ +40 +61 +2.0 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file diff --git a/reduced-wall-cost/648 b/reduced-wall-cost/648 new file mode 100644 index 00000000..bfdc8e67 --- /dev/null +++ b/reduced-wall-cost/648 @@ -0,0 +1,5 @@ +40 +61 +4.5 +5904882852.797948 +516726000.0 \ No newline at end of file diff --git a/reduced-wall-cost/649 b/reduced-wall-cost/649 new file mode 100644 index 00000000..20f9cddf --- /dev/null +++ b/reduced-wall-cost/649 @@ -0,0 +1,5 @@ +40 +61 +5.0 +5962296852.797948 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/65 b/reduced-wall-cost/65 new file mode 100644 index 00000000..176e8d8a --- /dev/null +++ b/reduced-wall-cost/65 @@ -0,0 +1,5 @@ +0 +61 +3.0 +5851208855.087465 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/650 b/reduced-wall-cost/650 new file mode 100644 index 00000000..4d51033c --- /dev/null +++ b/reduced-wall-cost/650 @@ -0,0 +1,5 @@ +40 +71 +0.5 +5473849924.93267 +84754000.0 \ No newline at end of file diff --git a/reduced-wall-cost/651 b/reduced-wall-cost/651 new file mode 100644 index 00000000..bac8b7d1 --- /dev/null +++ b/reduced-wall-cost/651 @@ -0,0 +1,5 @@ +40 +71 +1.0 +5558596868.54159 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/652 b/reduced-wall-cost/652 new file mode 100644 index 00000000..cc6d2acc --- /dev/null +++ b/reduced-wall-cost/652 @@ -0,0 +1,5 @@ +40 +71 +1.5 +5642514647.148533 +254262000.0 \ No newline at end of file diff --git a/reduced-wall-cost/653 b/reduced-wall-cost/653 new file mode 100644 index 00000000..389bfd3e --- /dev/null +++ b/reduced-wall-cost/653 @@ -0,0 +1,5 @@ +40 +71 +2.0 +5727038760.956971 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/654 b/reduced-wall-cost/654 new file mode 100644 index 00000000..f877ae62 --- /dev/null +++ b/reduced-wall-cost/654 @@ -0,0 +1,5 @@ +40 +71 +2.5 +5811782928.121381 +423770000.0 \ No newline at end of file diff --git a/reduced-wall-cost/655 b/reduced-wall-cost/655 new file mode 100644 index 00000000..00fcd6c1 --- /dev/null +++ b/reduced-wall-cost/655 @@ -0,0 +1,5 @@ +40 +71 +3.0 +5896536928.121381 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/656 b/reduced-wall-cost/656 new file mode 100644 index 00000000..40a27a1b --- /dev/null +++ b/reduced-wall-cost/656 @@ -0,0 +1,5 @@ +40 +71 +3.5 +5981290928.121381 +593278000.0 \ No newline at end of file diff --git a/reduced-wall-cost/657 b/reduced-wall-cost/657 new file mode 100644 index 00000000..ca43221f --- /dev/null +++ b/reduced-wall-cost/657 @@ -0,0 +1,5 @@ +40 +71 +4.0 +6066044928.121381 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/658 b/reduced-wall-cost/658 new file mode 100644 index 00000000..3270851b --- /dev/null +++ b/reduced-wall-cost/658 @@ -0,0 +1,5 @@ +40 +71 +4.5 +6150798928.121381 +762786000.0 \ No newline at end of file diff --git a/reduced-wall-cost/659 b/reduced-wall-cost/659 new file mode 100644 index 00000000..11e50f65 --- /dev/null +++ b/reduced-wall-cost/659 @@ -0,0 +1,5 @@ +40 +71 +5.0 +6235552928.121381 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/66 b/reduced-wall-cost/66 new file mode 100644 index 00000000..cb9c4d7c --- /dev/null +++ b/reduced-wall-cost/66 @@ -0,0 +1,5 @@ +0 +61 +3.5 +6018127860.570938 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/660 b/reduced-wall-cost/660 new file mode 100644 index 00000000..4b8c0093 --- /dev/null +++ b/reduced-wall-cost/660 @@ -0,0 +1,5 @@ +40 +81 +0.5 +5501151415.868295 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/661 b/reduced-wall-cost/661 new file mode 100644 index 00000000..c1bbb3be --- /dev/null +++ b/reduced-wall-cost/661 @@ -0,0 +1,5 @@ +40 +81 +1.0 +5594579813.261777 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/662 b/reduced-wall-cost/662 new file mode 100644 index 00000000..a4c550ab --- /dev/null +++ b/reduced-wall-cost/662 @@ -0,0 +1,5 @@ +40 +81 +1.5 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file diff --git a/reduced-wall-cost/667 b/reduced-wall-cost/667 new file mode 100644 index 00000000..fa0f493d --- /dev/null +++ b/reduced-wall-cost/667 @@ -0,0 +1,5 @@ +40 +81 +4.0 +5328943004.990402 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/668 b/reduced-wall-cost/668 new file mode 100644 index 00000000..f6bfe032 --- /dev/null +++ b/reduced-wall-cost/668 @@ -0,0 +1,5 @@ +40 +81 +4.5 +5441037004.990402 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/669 b/reduced-wall-cost/669 new file mode 100644 index 00000000..79ea91b3 --- /dev/null +++ b/reduced-wall-cost/669 @@ -0,0 +1,5 @@ +40 +81 +5.0 +5553131004.990402 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/67 b/reduced-wall-cost/67 new file mode 100644 index 00000000..96ed4099 --- /dev/null +++ b/reduced-wall-cost/67 @@ -0,0 +1,5 @@ +0 +61 +4.0 +6184901860.570938 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/670 b/reduced-wall-cost/670 new file mode 100644 index 00000000..5c4a52d5 --- /dev/null +++ b/reduced-wall-cost/670 @@ -0,0 +1,5 @@ +40 +91 +0.5 +5527565801.906286 +139434000.0 \ No newline at end of file diff --git a/reduced-wall-cost/671 b/reduced-wall-cost/671 new file mode 100644 index 00000000..7f13ec89 --- /dev/null +++ b/reduced-wall-cost/671 @@ -0,0 +1,5 @@ +40 +91 +1.0 +5646886967.3775835 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/672 b/reduced-wall-cost/672 new file mode 100644 index 00000000..862a40dd --- /dev/null +++ b/reduced-wall-cost/672 @@ -0,0 +1,5 @@ +40 +91 +1.5 +4963703033.891973 +418302000.0 \ No newline at end of file diff --git a/reduced-wall-cost/673 b/reduced-wall-cost/673 new file mode 100644 index 00000000..ba428e09 --- /dev/null +++ b/reduced-wall-cost/673 @@ -0,0 +1,5 @@ +40 +91 +2.0 +4687980382.193433 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/674 b/reduced-wall-cost/674 new file mode 100644 index 00000000..e610f981 --- /dev/null +++ b/reduced-wall-cost/674 @@ -0,0 +1,5 @@ +40 +91 +2.5 +4817784805.884784 +697170000.0 \ No newline at end of file diff --git a/reduced-wall-cost/675 b/reduced-wall-cost/675 new file mode 100644 index 00000000..a3c5a08e --- /dev/null +++ b/reduced-wall-cost/675 @@ -0,0 +1,5 @@ +40 +91 +3.0 +4957159062.659036 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/676 b/reduced-wall-cost/676 new file mode 100644 index 00000000..21d6b183 --- /dev/null +++ b/reduced-wall-cost/676 @@ -0,0 +1,5 @@ +40 +91 +3.5 +5096593062.659036 +976038000.0 \ No newline at end of file diff --git a/reduced-wall-cost/677 b/reduced-wall-cost/677 new file mode 100644 index 00000000..6e20e89c --- /dev/null +++ b/reduced-wall-cost/677 @@ -0,0 +1,5 @@ +40 +91 +4.0 +5236027062.659036 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/678 b/reduced-wall-cost/678 new file mode 100644 index 00000000..7bb83686 --- /dev/null +++ b/reduced-wall-cost/678 @@ -0,0 +1,5 @@ +40 +91 +4.5 +5375461062.659036 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/679 b/reduced-wall-cost/679 new file mode 100644 index 00000000..461724ca --- /dev/null +++ b/reduced-wall-cost/679 @@ -0,0 +1,5 @@ +40 +91 +5.0 +5514895062.659036 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/68 b/reduced-wall-cost/68 new file mode 100644 index 00000000..53f9b8ae --- /dev/null +++ b/reduced-wall-cost/68 @@ -0,0 +1,5 @@ +0 +61 +4.5 +6351675860.570938 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/680 b/reduced-wall-cost/680 new file mode 100644 index 00000000..b170becb --- /dev/null +++ b/reduced-wall-cost/680 @@ -0,0 +1,5 @@ +40 +101 +0.5 +5554905801.906286 +166774000.0 \ No newline at end of file diff --git a/reduced-wall-cost/681 b/reduced-wall-cost/681 new file mode 100644 index 00000000..d8d45169 --- /dev/null +++ b/reduced-wall-cost/681 @@ -0,0 +1,5 @@ +40 +101 +1.0 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end of file diff --git a/reduced-wall-cost/686 b/reduced-wall-cost/686 new file mode 100644 index 00000000..3479432c --- /dev/null +++ b/reduced-wall-cost/686 @@ -0,0 +1,5 @@ +40 +101 +3.5 +5287973062.659036 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/687 b/reduced-wall-cost/687 new file mode 100644 index 00000000..8564a0c6 --- /dev/null +++ b/reduced-wall-cost/687 @@ -0,0 +1,5 @@ +40 +101 +4.0 +5454747062.659036 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/688 b/reduced-wall-cost/688 new file mode 100644 index 00000000..1541bc5e --- /dev/null +++ b/reduced-wall-cost/688 @@ -0,0 +1,5 @@ +40 +101 +4.5 +5621521062.659036 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/689 b/reduced-wall-cost/689 new file mode 100644 index 00000000..8c6f17a7 --- /dev/null +++ b/reduced-wall-cost/689 @@ -0,0 +1,5 @@ +40 +101 +5.0 +5788295062.659036 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/69 b/reduced-wall-cost/69 new file mode 100644 index 00000000..8f73ad40 --- /dev/null +++ b/reduced-wall-cost/69 @@ -0,0 +1,5 @@ +0 +61 +5.0 +6518449860.570938 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/690 b/reduced-wall-cost/690 new file mode 100644 index 00000000..b40a3b21 --- /dev/null +++ b/reduced-wall-cost/690 @@ -0,0 +1,5 @@ +40 +112 +0.5 +5546274224.810173 +196848000.0 \ No newline at end of file diff --git a/reduced-wall-cost/691 b/reduced-wall-cost/691 new file mode 100644 index 00000000..925b86bc --- /dev/null +++ b/reduced-wall-cost/691 @@ -0,0 +1,5 @@ +40 +112 +1.0 +5698627198.901665 +393696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/692 b/reduced-wall-cost/692 new file mode 100644 index 00000000..a4f186d0 --- /dev/null +++ b/reduced-wall-cost/692 @@ -0,0 +1,5 @@ +40 +112 +1.5 +5183745312.062023 +590544000.0 \ No newline at end of file diff --git a/reduced-wall-cost/693 b/reduced-wall-cost/693 new file mode 100644 index 00000000..1d2f7afb --- /dev/null +++ b/reduced-wall-cost/693 @@ -0,0 +1,5 @@ +40 +112 +2.0 +3940934601.515008 +787392000.0 \ No newline at end of file diff --git a/reduced-wall-cost/694 b/reduced-wall-cost/694 new file mode 100644 index 00000000..caff20f8 --- /dev/null +++ b/reduced-wall-cost/694 @@ -0,0 +1,5 @@ +40 +112 +2.5 +4094208369.6611824 +984240000.0 \ No newline at end of file diff --git a/reduced-wall-cost/695 b/reduced-wall-cost/695 new file mode 100644 index 00000000..5656bef5 --- /dev/null +++ b/reduced-wall-cost/695 @@ -0,0 +1,5 @@ +40 +112 +3.0 +4289180910.38166 +1181088000.0 \ No newline at end of file diff --git a/reduced-wall-cost/696 b/reduced-wall-cost/696 new file mode 100644 index 00000000..36ff1f49 --- /dev/null +++ b/reduced-wall-cost/696 @@ -0,0 +1,5 @@ +40 +112 +3.5 +4485775359.664395 +1377936000.0 \ No newline at end of file diff --git a/reduced-wall-cost/697 b/reduced-wall-cost/697 new file mode 100644 index 00000000..c9ed3d6b --- /dev/null +++ b/reduced-wall-cost/697 @@ -0,0 +1,5 @@ +40 +112 +4.0 +4682623359.664395 +1574784000.0 \ No newline at end of file diff --git a/reduced-wall-cost/698 b/reduced-wall-cost/698 new file mode 100644 index 00000000..904906dd --- /dev/null +++ b/reduced-wall-cost/698 @@ -0,0 +1,5 @@ +40 +112 +4.5 +4879471359.664395 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/699 b/reduced-wall-cost/699 new file mode 100644 index 00000000..4fa2fd55 --- /dev/null +++ b/reduced-wall-cost/699 @@ -0,0 +1,5 @@ +40 +112 +5.0 +5076319359.664395 +1968480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/7 b/reduced-wall-cost/7 new file mode 100644 index 00000000..97ef2692 --- /dev/null +++ b/reduced-wall-cost/7 @@ -0,0 +1,5 @@ +0 +0 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/70 b/reduced-wall-cost/70 new file mode 100644 index 00000000..06c1ec06 --- /dev/null +++ b/reduced-wall-cost/70 @@ -0,0 +1,5 @@ +0 +71 +0.5 +5417478282.849134 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a/reduced-wall-cost/704 b/reduced-wall-cost/704 new file mode 100644 index 00000000..268ee1eb --- /dev/null +++ b/reduced-wall-cost/704 @@ -0,0 +1,5 @@ +40 +122 +2.5 +4187922745.1949115 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/705 b/reduced-wall-cost/705 new file mode 100644 index 00000000..25a5c690 --- /dev/null +++ b/reduced-wall-cost/705 @@ -0,0 +1,5 @@ +40 +122 +3.0 +4407471369.465529 +1345128000.0 \ No newline at end of file diff --git a/reduced-wall-cost/706 b/reduced-wall-cost/706 new file mode 100644 index 00000000..b9fc6439 --- /dev/null +++ b/reduced-wall-cost/706 @@ -0,0 +1,5 @@ +40 +122 +3.5 +4631427949.739351 +1569316000.0 \ No newline at end of file diff --git a/reduced-wall-cost/707 b/reduced-wall-cost/707 new file mode 100644 index 00000000..6abb7be8 --- /dev/null +++ b/reduced-wall-cost/707 @@ -0,0 +1,5 @@ +40 +122 +4.0 +4855615949.739351 +1793504000.0 \ No newline at end of file diff --git a/reduced-wall-cost/708 b/reduced-wall-cost/708 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a/reduced-wall-cost/723 b/reduced-wall-cost/723 new file mode 100644 index 00000000..6465c96e --- /dev/null +++ b/reduced-wall-cost/723 @@ -0,0 +1,5 @@ +40 +142 +2.0 +4113294940.372495 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/724 b/reduced-wall-cost/724 new file mode 100644 index 00000000..7d13f25a --- /dev/null +++ b/reduced-wall-cost/724 @@ -0,0 +1,5 @@ +40 +142 +2.5 +4320101198.503346 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/725 b/reduced-wall-cost/725 new file mode 100644 index 00000000..34c4d383 --- /dev/null +++ b/reduced-wall-cost/725 @@ -0,0 +1,5 @@ +40 +142 +3.0 +4593763273.347962 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/726 b/reduced-wall-cost/726 new file mode 100644 index 00000000..c998814e --- /dev/null +++ b/reduced-wall-cost/726 @@ -0,0 +1,5 @@ +40 +142 +3.5 +4866981900.845788 +1952076000.0 \ No newline at end of file diff --git a/reduced-wall-cost/727 b/reduced-wall-cost/727 new file mode 100644 index 00000000..b0672aaf --- /dev/null +++ b/reduced-wall-cost/727 @@ -0,0 +1,5 @@ +40 +142 +4.0 +5145849900.845788 +2230944000.0 \ No newline at end of file diff --git a/reduced-wall-cost/728 b/reduced-wall-cost/728 new file mode 100644 index 00000000..c617889d --- /dev/null +++ b/reduced-wall-cost/728 @@ -0,0 +1,5 @@ +40 +142 +4.5 +5424717900.845788 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/729 b/reduced-wall-cost/729 new file mode 100644 index 00000000..e4626bd6 --- /dev/null +++ b/reduced-wall-cost/729 @@ -0,0 +1,5 @@ +40 +142 +5.0 +5703585900.845788 +2788680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/73 b/reduced-wall-cost/73 new file mode 100644 index 00000000..0aae27d7 --- /dev/null +++ b/reduced-wall-cost/73 @@ -0,0 +1,5 @@ +0 +71 +2.0 +5630940002.485002 +776456000.0 \ No newline at end of file diff --git a/reduced-wall-cost/730 b/reduced-wall-cost/730 new file mode 100644 index 00000000..92382a39 --- 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a/reduced-wall-cost/742 b/reduced-wall-cost/742 new file mode 100644 index 00000000..67ba1a69 --- /dev/null +++ b/reduced-wall-cost/742 @@ -0,0 +1,5 @@ +40 +163 +1.5 +4598686375.871552 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/743 b/reduced-wall-cost/743 new file mode 100644 index 00000000..60155330 --- /dev/null +++ b/reduced-wall-cost/743 @@ -0,0 +1,5 @@ +40 +163 +2.0 +3298300230.6233454 +1345128000.0 \ No newline at end of file diff --git a/reduced-wall-cost/744 b/reduced-wall-cost/744 new file mode 100644 index 00000000..7b310edc --- /dev/null +++ b/reduced-wall-cost/744 @@ -0,0 +1,5 @@ +40 +163 +2.5 +3564344528.551363 +1681410000.0 \ No newline at end of file diff --git a/reduced-wall-cost/745 b/reduced-wall-cost/745 new file mode 100644 index 00000000..30bcf0cf --- /dev/null +++ b/reduced-wall-cost/745 @@ -0,0 +1,5 @@ +40 +163 +3.0 +3897507071.5068173 +2017692000.0 \ No newline at end of file diff --git a/reduced-wall-cost/746 b/reduced-wall-cost/746 new file mode 100644 index 00000000..36bc9d6d --- /dev/null +++ b/reduced-wall-cost/746 @@ -0,0 +1,5 @@ +40 +163 +3.5 +4223257175.0782332 +2353974000.0 \ No newline at end of file diff --git a/reduced-wall-cost/747 b/reduced-wall-cost/747 new file mode 100644 index 00000000..a2c3bca1 --- /dev/null +++ b/reduced-wall-cost/747 @@ -0,0 +1,5 @@ +40 +163 +4.0 +4559539175.078234 +2690256000.0 \ No newline at end of file diff --git a/reduced-wall-cost/748 b/reduced-wall-cost/748 new file mode 100644 index 00000000..3da470b5 --- /dev/null +++ b/reduced-wall-cost/748 @@ -0,0 +1,5 @@ +40 +163 +4.5 +4895821175.078234 +3026538000.0 \ No newline at end of file diff --git a/reduced-wall-cost/749 b/reduced-wall-cost/749 new file mode 100644 index 00000000..9bfa25f7 --- /dev/null +++ b/reduced-wall-cost/749 @@ -0,0 +1,5 @@ +40 +163 +5.0 +5232103175.078234 +3362820000.0 \ No newline at end of file diff --git a/reduced-wall-cost/75 b/reduced-wall-cost/75 new file mode 100644 index 00000000..2ebb3106 --- /dev/null +++ b/reduced-wall-cost/75 @@ -0,0 +1,5 @@ +0 +71 +3.0 +6013996300.274012 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/750 b/reduced-wall-cost/750 new file mode 100644 index 00000000..6fd6e707 --- /dev/null +++ b/reduced-wall-cost/750 @@ -0,0 +1,5 @@ +50 +50 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/751 b/reduced-wall-cost/751 new file mode 100644 index 00000000..7436fb8b --- /dev/null +++ b/reduced-wall-cost/751 @@ -0,0 +1,5 @@ +50 +50 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/752 b/reduced-wall-cost/752 new file mode 100644 index 00000000..a1c2088b --- /dev/null +++ b/reduced-wall-cost/752 @@ -0,0 +1,5 @@ +50 +50 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/753 b/reduced-wall-cost/753 new file mode 100644 index 00000000..057b47f9 --- /dev/null +++ b/reduced-wall-cost/753 @@ -0,0 +1,5 @@ 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a/reduced-wall-cost/758 b/reduced-wall-cost/758 new file mode 100644 index 00000000..f5de4190 --- /dev/null +++ b/reduced-wall-cost/758 @@ -0,0 +1,5 @@ +50 +50 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/759 b/reduced-wall-cost/759 new file mode 100644 index 00000000..9d81413d --- /dev/null +++ b/reduced-wall-cost/759 @@ -0,0 +1,5 @@ +50 +50 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/76 b/reduced-wall-cost/76 new file mode 100644 index 00000000..7f19f5a5 --- /dev/null +++ b/reduced-wall-cost/76 @@ -0,0 +1,5 @@ +0 +71 +3.5 +6207649645.827283 +1358798000.0 \ No newline at end of file diff --git a/reduced-wall-cost/760 b/reduced-wall-cost/760 new file mode 100644 index 00000000..7f585ea9 --- /dev/null +++ b/reduced-wall-cost/760 @@ -0,0 +1,5 @@ +50 +61 +0.5 +5419170337.18467 +30074000.0 \ No newline at end of file diff --git a/reduced-wall-cost/761 b/reduced-wall-cost/761 new file mode 100644 index 00000000..21b4d8b6 --- /dev/null +++ b/reduced-wall-cost/761 @@ -0,0 +1,5 @@ +50 +61 +1.0 +5449244337.18467 +60148000.0 \ No newline at end of file diff --git a/reduced-wall-cost/762 b/reduced-wall-cost/762 new file mode 100644 index 00000000..bfbfd72e --- /dev/null +++ b/reduced-wall-cost/762 @@ -0,0 +1,5 @@ +50 +61 +1.5 +5479318337.18467 +90222000.0 \ No newline at end of file diff --git a/reduced-wall-cost/763 b/reduced-wall-cost/763 new file mode 100644 index 00000000..ea02e633 --- /dev/null +++ b/reduced-wall-cost/763 @@ -0,0 +1,5 @@ +50 +61 +2.0 +5509392337.18467 +120296000.0 \ No newline at end of file diff --git a/reduced-wall-cost/764 b/reduced-wall-cost/764 new file mode 100644 index 00000000..d7595382 --- /dev/null +++ b/reduced-wall-cost/764 @@ -0,0 +1,5 @@ +50 +61 +2.5 +5539466337.18467 +150370000.0 \ No newline at end of file diff --git a/reduced-wall-cost/765 b/reduced-wall-cost/765 new file mode 100644 index 00000000..f28e6588 --- /dev/null +++ b/reduced-wall-cost/765 @@ -0,0 +1,5 @@ +50 +61 +3.0 +5569540337.18467 +180444000.0 \ No newline at end of file diff --git a/reduced-wall-cost/766 b/reduced-wall-cost/766 new file mode 100644 index 00000000..392996a8 --- /dev/null +++ b/reduced-wall-cost/766 @@ -0,0 +1,5 @@ +50 +61 +3.5 +5599614337.18467 +210518000.0 \ No newline at end of file diff --git a/reduced-wall-cost/767 b/reduced-wall-cost/767 new file mode 100644 index 00000000..13d984ed --- /dev/null +++ b/reduced-wall-cost/767 @@ -0,0 +1,5 @@ +50 +61 +4.0 +5629688337.18467 +240592000.0 \ No newline at end of file diff --git a/reduced-wall-cost/768 b/reduced-wall-cost/768 new file mode 100644 index 00000000..862fca8b --- /dev/null +++ b/reduced-wall-cost/768 @@ -0,0 +1,5 @@ +50 +61 +4.5 +5659762337.18467 +270666000.0 \ No newline at end of file diff --git a/reduced-wall-cost/769 b/reduced-wall-cost/769 new file mode 100644 index 00000000..350b9790 --- /dev/null +++ b/reduced-wall-cost/769 @@ -0,0 +1,5 @@ +50 +61 +5.0 +5689836337.18467 +300740000.0 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b/reduced-wall-cost/773 new file mode 100644 index 00000000..cde20054 --- /dev/null +++ b/reduced-wall-cost/773 @@ -0,0 +1,5 @@ +50 +71 +2.0 +5618752337.18467 +229656000.0 \ No newline at end of file diff --git a/reduced-wall-cost/774 b/reduced-wall-cost/774 new file mode 100644 index 00000000..d707b364 --- /dev/null +++ b/reduced-wall-cost/774 @@ -0,0 +1,5 @@ +50 +71 +2.5 +5676166337.18467 +287070000.0 \ No newline at end of file diff --git a/reduced-wall-cost/775 b/reduced-wall-cost/775 new file mode 100644 index 00000000..c13aceaa --- /dev/null +++ b/reduced-wall-cost/775 @@ -0,0 +1,5 @@ +50 +71 +3.0 +5733580337.18467 +344484000.0 \ No newline at end of file diff --git a/reduced-wall-cost/776 b/reduced-wall-cost/776 new file mode 100644 index 00000000..54e0980d --- /dev/null +++ b/reduced-wall-cost/776 @@ -0,0 +1,5 @@ +50 +71 +3.5 +5790994337.18467 +401898000.0 \ No newline at end of file diff --git a/reduced-wall-cost/777 b/reduced-wall-cost/777 new file mode 100644 index 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a/reduced-wall-cost/789 b/reduced-wall-cost/789 new file mode 100644 index 00000000..b9c8d933 --- /dev/null +++ b/reduced-wall-cost/789 @@ -0,0 +1,5 @@ +50 +81 +5.0 +6228941222.417406 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/79 b/reduced-wall-cost/79 new file mode 100644 index 00000000..c8cd084a --- /dev/null +++ b/reduced-wall-cost/79 @@ -0,0 +1,5 @@ +0 +71 +5.0 +6789991645.827282 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/790 b/reduced-wall-cost/790 new file mode 100644 index 00000000..6cb30b2c --- /dev/null +++ b/reduced-wall-cost/790 @@ -0,0 +1,5 @@ +50 +91 +0.5 +5500226214.158288 +112094000.0 \ No newline at end of file diff --git a/reduced-wall-cost/791 b/reduced-wall-cost/791 new file mode 100644 index 00000000..dab5ab76 --- /dev/null +++ b/reduced-wall-cost/791 @@ -0,0 +1,5 @@ +50 +91 +1.0 +5610002842.431709 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/792 b/reduced-wall-cost/792 new file 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b/reduced-wall-cost/796 @@ -0,0 +1,5 @@ +50 +91 +3.5 +6161921701.614974 +784658000.0 \ No newline at end of file diff --git a/reduced-wall-cost/797 b/reduced-wall-cost/797 new file mode 100644 index 00000000..09e41ea9 --- /dev/null +++ b/reduced-wall-cost/797 @@ -0,0 +1,5 @@ +50 +91 +4.0 +6274015701.614974 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/798 b/reduced-wall-cost/798 new file mode 100644 index 00000000..0171583c --- /dev/null +++ b/reduced-wall-cost/798 @@ -0,0 +1,5 @@ +50 +91 +4.5 +6386109701.614974 +1008846000.0 \ No newline at end of file diff --git a/reduced-wall-cost/799 b/reduced-wall-cost/799 new file mode 100644 index 00000000..55672b04 --- /dev/null +++ b/reduced-wall-cost/799 @@ -0,0 +1,5 @@ +50 +91 +5.0 +6498203701.614974 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/8 b/reduced-wall-cost/8 new file mode 100644 index 00000000..a5f45ae0 --- /dev/null +++ b/reduced-wall-cost/8 @@ -0,0 +1,5 @@ +0 +0 +4.5 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b/reduced-wall-cost/807 new file mode 100644 index 00000000..9708e7ec --- /dev/null +++ b/reduced-wall-cost/807 @@ -0,0 +1,5 @@ +50 +101 +4.0 +6492735701.614974 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/808 b/reduced-wall-cost/808 new file mode 100644 index 00000000..a5e3cdab --- /dev/null +++ b/reduced-wall-cost/808 @@ -0,0 +1,5 @@ +50 +101 +4.5 +6632169701.614974 +1254906000.0 \ No newline at end of file diff --git a/reduced-wall-cost/809 b/reduced-wall-cost/809 new file mode 100644 index 00000000..5899203e --- /dev/null +++ b/reduced-wall-cost/809 @@ -0,0 +1,5 @@ +50 +101 +5.0 +6771603701.614974 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/81 b/reduced-wall-cost/81 new file mode 100644 index 00000000..8f59bcb2 --- /dev/null +++ b/reduced-wall-cost/81 @@ -0,0 +1,5 @@ +0 +81 +1.0 +5384046863.5231085 +442908000.0 \ No newline at end of file diff --git a/reduced-wall-cost/810 b/reduced-wall-cost/810 new file mode 100644 index 00000000..a4fda949 --- /dev/null +++ b/reduced-wall-cost/810 @@ -0,0 +1,5 @@ +50 +112 +0.5 +5518934637.0610285 +169508000.0 \ No newline at end of file diff --git a/reduced-wall-cost/811 b/reduced-wall-cost/811 new file mode 100644 index 00000000..7a13994d --- /dev/null +++ b/reduced-wall-cost/811 @@ -0,0 +1,5 @@ +50 +112 +1.0 +5682449782.510636 +339016000.0 \ No newline at end of file diff --git a/reduced-wall-cost/812 b/reduced-wall-cost/812 new file mode 100644 index 00000000..17670589 --- /dev/null +++ b/reduced-wall-cost/812 @@ -0,0 +1,5 @@ +50 +112 +1.5 +5834461261.2556305 +508524000.0 \ No newline at end of file diff --git a/reduced-wall-cost/813 b/reduced-wall-cost/813 new file mode 100644 index 00000000..feea4218 --- /dev/null +++ b/reduced-wall-cost/813 @@ -0,0 +1,5 @@ +50 +112 +2.0 +6001330587.213427 +678032000.0 \ No newline at end of file diff --git a/reduced-wall-cost/814 b/reduced-wall-cost/814 new file mode 100644 index 00000000..d6bf1580 --- /dev/null +++ b/reduced-wall-cost/814 @@ -0,0 +1,5 @@ +50 +112 +2.5 +6170727310.724686 +847540000.0 \ No newline at end of file diff --git a/reduced-wall-cost/815 b/reduced-wall-cost/815 new file mode 100644 index 00000000..7a231601 --- /dev/null +++ b/reduced-wall-cost/815 @@ -0,0 +1,5 @@ +50 +112 +3.0 +6340235159.9296055 +1017048000.0 \ No newline at end of file diff --git a/reduced-wall-cost/816 b/reduced-wall-cost/816 new file mode 100644 index 00000000..85f3d559 --- /dev/null +++ b/reduced-wall-cost/816 @@ -0,0 +1,5 @@ +50 +112 +3.5 +6509743159.9296055 +1186556000.0 \ No newline at end of file diff --git a/reduced-wall-cost/817 b/reduced-wall-cost/817 new file mode 100644 index 00000000..3759a69f --- /dev/null +++ b/reduced-wall-cost/817 @@ -0,0 +1,5 @@ +50 +112 +4.0 +6679251159.9296055 +1356064000.0 \ No newline at end of file diff --git a/reduced-wall-cost/818 b/reduced-wall-cost/818 new file mode 100644 index 00000000..44e80b56 --- /dev/null +++ b/reduced-wall-cost/818 @@ -0,0 +1,5 @@ +50 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newline at end of file diff --git a/reduced-wall-cost/822 b/reduced-wall-cost/822 new file mode 100644 index 00000000..036b5d9e --- /dev/null +++ b/reduced-wall-cost/822 @@ -0,0 +1,5 @@ +50 +122 +1.5 +5912976750.13468 +590544000.0 \ No newline at end of file diff --git a/reduced-wall-cost/823 b/reduced-wall-cost/823 new file mode 100644 index 00000000..913288f8 --- /dev/null +++ b/reduced-wall-cost/823 @@ -0,0 +1,5 @@ +50 +122 +2.0 +6107603834.560996 +787392000.0 \ No newline at end of file diff --git a/reduced-wall-cost/824 b/reduced-wall-cost/824 new file mode 100644 index 00000000..21ee9003 --- /dev/null +++ b/reduced-wall-cost/824 @@ -0,0 +1,5 @@ +50 +122 +2.5 +6304365314.426402 +984240000.0 \ No newline at end of file diff --git a/reduced-wall-cost/825 b/reduced-wall-cost/825 new file mode 100644 index 00000000..6e18889d --- /dev/null +++ b/reduced-wall-cost/825 @@ -0,0 +1,5 @@ +50 +122 +3.0 +6501210659.905088 +1181088000.0 \ No newline at end of file diff --git a/reduced-wall-cost/826 b/reduced-wall-cost/826 new file mode 100644 index 00000000..282b3cbd --- /dev/null +++ b/reduced-wall-cost/826 @@ -0,0 +1,5 @@ +50 +122 +3.5 +6698058659.905088 +1377936000.0 \ No newline at end of file diff --git a/reduced-wall-cost/827 b/reduced-wall-cost/827 new file mode 100644 index 00000000..198e2609 --- /dev/null +++ b/reduced-wall-cost/827 @@ -0,0 +1,5 @@ +50 +122 +4.0 +6894906659.905088 +1574784000.0 \ No newline at end of file diff --git a/reduced-wall-cost/828 b/reduced-wall-cost/828 new file mode 100644 index 00000000..2ba22d2e --- /dev/null +++ b/reduced-wall-cost/828 @@ -0,0 +1,5 @@ +50 +122 +4.5 +7091754659.905088 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/829 b/reduced-wall-cost/829 new file mode 100644 index 00000000..01d1f62e --- /dev/null +++ b/reduced-wall-cost/829 @@ -0,0 +1,5 @@ +50 +122 +5.0 +7288602659.905088 +1968480000.0 \ No newline at end of file diff --git a/reduced-wall-cost/83 b/reduced-wall-cost/83 new file mode 100644 index 00000000..cb26d8f7 --- /dev/null +++ b/reduced-wall-cost/83 @@ -0,0 +1,5 @@ +0 +81 +2.0 +4710845586.288842 +885816000.0 \ No newline at end of file diff --git a/reduced-wall-cost/830 b/reduced-wall-cost/830 new file mode 100644 index 00000000..dc183b3b --- /dev/null +++ b/reduced-wall-cost/830 @@ -0,0 +1,5 @@ +50 +132 +0.5 +5567649855.541158 +224188000.0 \ No newline at end of file diff --git a/reduced-wall-cost/831 b/reduced-wall-cost/831 new file mode 100644 index 00000000..6aa11168 --- /dev/null +++ b/reduced-wall-cost/831 @@ -0,0 +1,5 @@ +50 +132 +1.0 +5778898492.668934 +448376000.0 \ No newline at end of file diff --git a/reduced-wall-cost/832 b/reduced-wall-cost/832 new file mode 100644 index 00000000..1ae250fd --- /dev/null +++ b/reduced-wall-cost/832 @@ -0,0 +1,5 @@ +50 +132 +1.5 +5984623059.470255 +672564000.0 \ No newline at end of file diff --git a/reduced-wall-cost/833 b/reduced-wall-cost/833 new file mode 100644 index 00000000..e0281cf9 --- /dev/null +++ b/reduced-wall-cost/833 @@ -0,0 +1,5 @@ +50 +132 +2.0 +6202482975.011945 +896752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/834 b/reduced-wall-cost/834 new file mode 100644 index 00000000..5e6bb2dc --- /dev/null +++ b/reduced-wall-cost/834 @@ -0,0 +1,5 @@ +50 +132 +2.5 +6426128877.435435 +1120940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/835 b/reduced-wall-cost/835 new file mode 100644 index 00000000..097934dd --- /dev/null +++ b/reduced-wall-cost/835 @@ -0,0 +1,5 @@ +50 +132 +3.0 +6650146991.195076 +1345128000.0 \ No newline at end of file diff --git a/reduced-wall-cost/836 b/reduced-wall-cost/836 new file mode 100644 index 00000000..38769433 --- /dev/null +++ b/reduced-wall-cost/836 @@ -0,0 +1,5 @@ +50 +132 +3.5 +6874334991.195076 +1569316000.0 \ No newline at end of file diff --git a/reduced-wall-cost/837 b/reduced-wall-cost/837 new file mode 100644 index 00000000..31e3d3ac --- /dev/null +++ b/reduced-wall-cost/837 @@ -0,0 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a/reduced-wall-cost/845 b/reduced-wall-cost/845 new file mode 100644 index 00000000..6b3cbee5 --- /dev/null +++ b/reduced-wall-cost/845 @@ -0,0 +1,5 @@ +50 +142 +3.0 +6705014744.698878 +1509168000.0 \ No newline at end of file diff --git a/reduced-wall-cost/846 b/reduced-wall-cost/846 new file mode 100644 index 00000000..ac5d9fd1 --- /dev/null +++ b/reduced-wall-cost/846 @@ -0,0 +1,5 @@ +50 +142 +3.5 +6951727206.541115 +1760696000.0 \ No newline at end of file diff --git a/reduced-wall-cost/847 b/reduced-wall-cost/847 new file mode 100644 index 00000000..2396b69c --- /dev/null +++ b/reduced-wall-cost/847 @@ -0,0 +1,5 @@ +50 +142 +4.0 +7203255206.541115 +2012224000.0 \ No newline at end of file diff --git a/reduced-wall-cost/848 b/reduced-wall-cost/848 new file mode 100644 index 00000000..b5afda0b --- /dev/null +++ b/reduced-wall-cost/848 @@ -0,0 +1,5 @@ +50 +142 +4.5 +7454783206.541115 +2263752000.0 \ No newline at end of file diff --git a/reduced-wall-cost/849 b/reduced-wall-cost/849 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a/reduced-wall-cost/864 b/reduced-wall-cost/864 new file mode 100644 index 00000000..ef4e261e --- /dev/null +++ b/reduced-wall-cost/864 @@ -0,0 +1,5 @@ +50 +163 +2.5 +5687532058.548205 +1544710000.0 \ No newline at end of file diff --git a/reduced-wall-cost/865 b/reduced-wall-cost/865 new file mode 100644 index 00000000..0e90ae75 --- /dev/null +++ b/reduced-wall-cost/865 @@ -0,0 +1,5 @@ +50 +163 +3.0 +6002779354.669778 +1853652000.0 \ No newline at end of file diff --git a/reduced-wall-cost/866 b/reduced-wall-cost/866 new file mode 100644 index 00000000..1abb6f2b --- /dev/null +++ b/reduced-wall-cost/866 @@ -0,0 +1,5 @@ +50 +163 +3.5 +6301984413.346229 +2162594000.0 \ No newline at end of file diff --git a/reduced-wall-cost/867 b/reduced-wall-cost/867 new file mode 100644 index 00000000..d636005c --- /dev/null +++ b/reduced-wall-cost/867 @@ -0,0 +1,5 @@ +50 +163 +4.0 +6610926413.346229 +2471536000.0 \ No newline at end of file diff --git a/reduced-wall-cost/868 b/reduced-wall-cost/868 new file mode 100644 index 00000000..14cf2a43 --- /dev/null +++ b/reduced-wall-cost/868 @@ -0,0 +1,5 @@ +50 +163 +4.5 +6919868413.346229 +2780478000.0 \ No newline at end of file diff --git a/reduced-wall-cost/869 b/reduced-wall-cost/869 new file mode 100644 index 00000000..30841c71 --- /dev/null +++ b/reduced-wall-cost/869 @@ -0,0 +1,5 @@ +50 +163 +5.0 +7228810413.346229 +3089420000.0 \ No newline at end of file diff --git a/reduced-wall-cost/87 b/reduced-wall-cost/87 new file mode 100644 index 00000000..7316a334 --- /dev/null +++ b/reduced-wall-cost/87 @@ -0,0 +1,5 @@ +0 +81 +4.0 +5552703817.648369 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/870 b/reduced-wall-cost/870 new file mode 100644 index 00000000..3074845f --- /dev/null +++ b/reduced-wall-cost/870 @@ -0,0 +1,5 @@ +61 +61 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/871 b/reduced-wall-cost/871 new file mode 100644 index 00000000..5396f99b --- /dev/null +++ b/reduced-wall-cost/871 @@ -0,0 +1,5 @@ +61 +61 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/872 b/reduced-wall-cost/872 new file mode 100644 index 00000000..82ce5eec --- /dev/null +++ b/reduced-wall-cost/872 @@ -0,0 +1,5 @@ +61 +61 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/873 b/reduced-wall-cost/873 new file mode 100644 index 00000000..d6b9cd59 --- /dev/null +++ b/reduced-wall-cost/873 @@ -0,0 +1,5 @@ +61 +61 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/874 b/reduced-wall-cost/874 new file mode 100644 index 00000000..42c74b42 --- /dev/null +++ b/reduced-wall-cost/874 @@ -0,0 +1,5 @@ +61 +61 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/875 b/reduced-wall-cost/875 new file mode 100644 index 00000000..e321b237 --- /dev/null +++ b/reduced-wall-cost/875 @@ -0,0 +1,5 @@ +61 +61 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/876 b/reduced-wall-cost/876 new file mode 100644 index 00000000..806945dc --- /dev/null +++ b/reduced-wall-cost/876 @@ -0,0 +1,5 @@ +61 +61 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/877 b/reduced-wall-cost/877 new file mode 100644 index 00000000..ba850613 --- /dev/null +++ b/reduced-wall-cost/877 @@ -0,0 +1,5 @@ +61 +61 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/878 b/reduced-wall-cost/878 new file mode 100644 index 00000000..4473a115 --- /dev/null +++ b/reduced-wall-cost/878 @@ -0,0 +1,5 @@ +61 +61 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/879 b/reduced-wall-cost/879 new file mode 100644 index 00000000..7e060976 --- /dev/null +++ b/reduced-wall-cost/879 @@ -0,0 +1,5 @@ +61 +61 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/88 b/reduced-wall-cost/88 new file mode 100644 index 00000000..8a9850d0 --- /dev/null +++ b/reduced-wall-cost/88 @@ -0,0 +1,5 @@ +0 +81 +4.5 +5774157817.648369 +1993086000.0 \ No newline at end of file diff --git a/reduced-wall-cost/880 b/reduced-wall-cost/880 new file mode 100644 index 00000000..ccdc70fd --- /dev/null +++ b/reduced-wall-cost/880 @@ -0,0 +1,5 @@ +61 +71 +0.5 +5416436337.18467 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/881 b/reduced-wall-cost/881 new file mode 100644 index 00000000..da7bbec7 --- /dev/null +++ b/reduced-wall-cost/881 @@ -0,0 +1,5 @@ +61 +71 +1.0 +5443776337.18467 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/882 b/reduced-wall-cost/882 new file mode 100644 index 00000000..0c9e762c --- /dev/null +++ b/reduced-wall-cost/882 @@ -0,0 +1,5 @@ +61 +71 +1.5 +5471116337.18467 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/883 b/reduced-wall-cost/883 new file mode 100644 index 00000000..f80558c6 --- /dev/null +++ b/reduced-wall-cost/883 @@ -0,0 +1,5 @@ +61 +71 +2.0 +5498456337.18467 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/884 b/reduced-wall-cost/884 new file mode 100644 index 00000000..8fee4fe3 --- /dev/null +++ b/reduced-wall-cost/884 @@ -0,0 +1,5 @@ +61 +71 +2.5 +5525796337.18467 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/885 b/reduced-wall-cost/885 new file mode 100644 index 00000000..fe538f0f --- /dev/null +++ b/reduced-wall-cost/885 @@ -0,0 +1,5 @@ +61 +71 +3.0 +5553136337.18467 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/886 b/reduced-wall-cost/886 new file mode 100644 index 00000000..6a9763cb --- /dev/null +++ b/reduced-wall-cost/886 @@ -0,0 +1,5 @@ +61 +71 +3.5 +5580476337.18467 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/887 b/reduced-wall-cost/887 new file mode 100644 index 00000000..fba55ea6 --- /dev/null +++ b/reduced-wall-cost/887 @@ -0,0 +1,5 @@ +61 +71 +4.0 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diff --git a/reduced-wall-cost/891 b/reduced-wall-cost/891 new file mode 100644 index 00000000..3004a1ec --- /dev/null +++ b/reduced-wall-cost/891 @@ -0,0 +1,5 @@ +61 +81 +1.0 +5496731374.650413 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/892 b/reduced-wall-cost/892 new file mode 100644 index 00000000..0279ab6f --- /dev/null +++ b/reduced-wall-cost/892 @@ -0,0 +1,5 @@ +61 +81 +1.5 +5547181198.743381 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/893 b/reduced-wall-cost/893 new file mode 100644 index 00000000..1022824f --- /dev/null +++ b/reduced-wall-cost/893 @@ -0,0 +1,5 @@ +61 +81 +2.0 +5600742656.930752 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/894 b/reduced-wall-cost/894 new file mode 100644 index 00000000..aae8e253 --- /dev/null +++ b/reduced-wall-cost/894 @@ -0,0 +1,5 @@ +61 +81 +2.5 +5655309869.478613 +273400000.0 \ No newline at end of file diff --git a/reduced-wall-cost/895 b/reduced-wall-cost/895 new file mode 100644 index 00000000..851daf00 --- /dev/null +++ b/reduced-wall-cost/895 @@ -0,0 +1,5 @@ +61 +81 +3.0 +5709989869.478613 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/896 b/reduced-wall-cost/896 new file mode 100644 index 00000000..08fc2dbb --- /dev/null +++ b/reduced-wall-cost/896 @@ -0,0 +1,5 @@ +61 +81 +3.5 +5764669869.478613 +382760000.0 \ No newline at end of file diff --git a/reduced-wall-cost/897 b/reduced-wall-cost/897 new file mode 100644 index 00000000..01539afc --- /dev/null +++ b/reduced-wall-cost/897 @@ -0,0 +1,5 @@ +61 +81 +4.0 +5819349869.478613 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/898 b/reduced-wall-cost/898 new file mode 100644 index 00000000..b5111e18 --- /dev/null +++ b/reduced-wall-cost/898 @@ -0,0 +1,5 @@ +61 +81 +4.5 +5874029869.478613 +492120000.0 \ No newline at end of file diff --git a/reduced-wall-cost/899 b/reduced-wall-cost/899 new file mode 100644 index 00000000..3c1b4ddc --- /dev/null +++ b/reduced-wall-cost/899 @@ -0,0 +1,5 @@ +61 +81 +5.0 +5928709869.478613 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/9 b/reduced-wall-cost/9 new file mode 100644 index 00000000..462dec5a --- /dev/null +++ b/reduced-wall-cost/9 @@ -0,0 +1,5 @@ +0 +0 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/90 b/reduced-wall-cost/90 new file mode 100644 index 00000000..939f635c --- /dev/null +++ b/reduced-wall-cost/90 @@ -0,0 +1,5 @@ +0 +91 +0.5 +5471194273.902176 +248794000.0 \ No newline at end of file diff --git a/reduced-wall-cost/900 b/reduced-wall-cost/900 new file mode 100644 index 00000000..fcbac1c2 --- /dev/null +++ b/reduced-wall-cost/900 @@ -0,0 +1,5 @@ +61 +91 +0.5 +5470152214.158288 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/901 b/reduced-wall-cost/901 new file mode 100644 index 00000000..1942fadc --- /dev/null +++ b/reduced-wall-cost/901 @@ -0,0 +1,5 @@ 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newline at end of file diff --git a/reduced-wall-cost/906 b/reduced-wall-cost/906 new file mode 100644 index 00000000..92242fb1 --- /dev/null +++ b/reduced-wall-cost/906 @@ -0,0 +1,5 @@ +61 +91 +3.5 +5952343462.483871 +574140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/907 b/reduced-wall-cost/907 new file mode 100644 index 00000000..3bd1f1c2 --- /dev/null +++ b/reduced-wall-cost/907 @@ -0,0 +1,5 @@ +61 +91 +4.0 +6034363462.483871 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/908 b/reduced-wall-cost/908 new file mode 100644 index 00000000..65cec0aa --- /dev/null +++ b/reduced-wall-cost/908 @@ -0,0 +1,5 @@ +61 +91 +4.5 +6116383462.483871 +738180000.0 \ No newline at end of file diff --git a/reduced-wall-cost/909 b/reduced-wall-cost/909 new file mode 100644 index 00000000..9e613928 --- /dev/null +++ b/reduced-wall-cost/909 @@ -0,0 +1,5 @@ +61 +91 +5.0 +6198403462.483871 +820200000.0 \ No newline at end of file diff --git a/reduced-wall-cost/91 b/reduced-wall-cost/91 new file mode 100644 index 00000000..01be616b --- /dev/null +++ b/reduced-wall-cost/91 @@ -0,0 +1,5 @@ +0 +91 +1.0 +5435760303.468027 +497588000.0 \ No newline at end of file diff --git a/reduced-wall-cost/910 b/reduced-wall-cost/910 new file mode 100644 index 00000000..2ac437f6 --- /dev/null +++ b/reduced-wall-cost/910 @@ -0,0 +1,5 @@ +61 +101 +0.5 +5497492214.158288 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/911 b/reduced-wall-cost/911 new file mode 100644 index 00000000..932609a6 --- /dev/null +++ b/reduced-wall-cost/911 @@ -0,0 +1,5 @@ +61 +101 +1.0 +5604534842.431709 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/912 b/reduced-wall-cost/912 new file mode 100644 index 00000000..9f91a353 --- /dev/null +++ b/reduced-wall-cost/912 @@ -0,0 +1,5 @@ +61 +101 +1.5 +5707695538.274841 +328080000.0 \ No newline at end of file diff --git a/reduced-wall-cost/913 b/reduced-wall-cost/913 new file mode 100644 index 00000000..1bede52e --- /dev/null +++ b/reduced-wall-cost/913 @@ -0,0 +1,5 @@ +61 +101 +2.0 +5815828142.163132 +437440000.0 \ No newline at end of file diff --git a/reduced-wall-cost/914 b/reduced-wall-cost/914 new file mode 100644 index 00000000..b67ad099 --- /dev/null +++ b/reduced-wall-cost/914 @@ -0,0 +1,5 @@ +61 +101 +2.5 +5925003462.483871 +546800000.0 \ No newline at end of file diff --git a/reduced-wall-cost/915 b/reduced-wall-cost/915 new file mode 100644 index 00000000..7487447b --- /dev/null +++ b/reduced-wall-cost/915 @@ -0,0 +1,5 @@ +61 +101 +3.0 +6034363462.483871 +656160000.0 \ No newline at end of file diff --git a/reduced-wall-cost/916 b/reduced-wall-cost/916 new file mode 100644 index 00000000..dc5ed5df --- /dev/null +++ b/reduced-wall-cost/916 @@ -0,0 +1,5 @@ +61 +101 +3.5 +6143723462.483871 +765520000.0 \ No newline at end of file diff --git a/reduced-wall-cost/917 b/reduced-wall-cost/917 new file mode 100644 index 00000000..ec1ca661 --- /dev/null +++ b/reduced-wall-cost/917 @@ -0,0 +1,5 @@ +61 +101 +4.0 +6253083462.483871 +874880000.0 \ No newline at end of file diff --git a/reduced-wall-cost/918 b/reduced-wall-cost/918 new file mode 100644 index 00000000..379d6899 --- /dev/null +++ b/reduced-wall-cost/918 @@ -0,0 +1,5 @@ +61 +101 +4.5 +6362443462.483871 +984240000.0 \ No newline at end of file diff --git a/reduced-wall-cost/919 b/reduced-wall-cost/919 new file mode 100644 index 00000000..3ad6822a --- /dev/null +++ b/reduced-wall-cost/919 @@ -0,0 +1,5 @@ +61 +101 +5.0 +6471803462.483871 +1093600000.0 \ No newline at end of file diff --git a/reduced-wall-cost/92 b/reduced-wall-cost/92 new file mode 100644 index 00000000..e00310c1 --- /dev/null +++ b/reduced-wall-cost/92 @@ -0,0 +1,5 @@ +0 +91 +1.5 +4755196767.5355015 +746382000.0 \ No newline at end of file diff --git a/reduced-wall-cost/920 b/reduced-wall-cost/920 new file mode 100644 index 00000000..d1f337f4 --- /dev/null +++ b/reduced-wall-cost/920 @@ -0,0 +1,5 @@ +61 +112 +0.5 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b/reduced-wall-cost/929 new file mode 100644 index 00000000..24b09cd6 --- /dev/null +++ b/reduced-wall-cost/929 @@ -0,0 +1,5 @@ +61 +112 +5.0 +6721551633.910367 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/93 b/reduced-wall-cost/93 new file mode 100644 index 00000000..46d5510e --- /dev/null +++ b/reduced-wall-cost/93 @@ -0,0 +1,5 @@ +0 +91 +2.0 +4354504316.127324 +995176000.0 \ No newline at end of file diff --git a/reduced-wall-cost/930 b/reduced-wall-cost/930 new file mode 100644 index 00000000..020281b2 --- /dev/null +++ b/reduced-wall-cost/930 @@ -0,0 +1,5 @@ +61 +122 +0.5 +5514302470.295599 +166774000.0 \ No newline at end of file diff --git a/reduced-wall-cost/931 b/reduced-wall-cost/931 new file mode 100644 index 00000000..40d4ac2a --- /dev/null +++ b/reduced-wall-cost/931 @@ -0,0 +1,5 @@ +61 +122 +1.0 +5673172352.936732 +333548000.0 \ No newline at end of file diff --git a/reduced-wall-cost/932 b/reduced-wall-cost/932 new file mode 100644 index 00000000..14fe459c --- /dev/null +++ b/reduced-wall-cost/932 @@ -0,0 +1,5 @@ +61 +122 +1.5 +5826778916.030662 +500322000.0 \ No newline at end of file diff --git a/reduced-wall-cost/933 b/reduced-wall-cost/933 new file mode 100644 index 00000000..2438fbeb --- /dev/null +++ b/reduced-wall-cost/933 @@ -0,0 +1,5 @@ +61 +122 +2.0 +5991331767.068854 +667096000.0 \ No newline at end of file diff --git a/reduced-wall-cost/934 b/reduced-wall-cost/934 new file mode 100644 index 00000000..304aeeec --- /dev/null +++ b/reduced-wall-cost/934 @@ -0,0 +1,5 @@ +61 +122 +2.5 +6158019193.97337 +833870000.0 \ No newline at end of file diff --git a/reduced-wall-cost/935 b/reduced-wall-cost/935 new file mode 100644 index 00000000..cdc1019a --- /dev/null +++ b/reduced-wall-cost/935 @@ -0,0 +1,5 @@ +61 +122 +3.0 +6324790539.452053 +1000644000.0 \ No newline at end of file diff --git a/reduced-wall-cost/936 b/reduced-wall-cost/936 new file mode 100644 index 00000000..12dfd6c1 --- /dev/null +++ b/reduced-wall-cost/936 @@ -0,0 +1,5 @@ +61 +122 +3.5 +6491564539.452053 +1167418000.0 \ No newline at end of file diff --git a/reduced-wall-cost/937 b/reduced-wall-cost/937 new file mode 100644 index 00000000..04f9ad0a --- /dev/null +++ b/reduced-wall-cost/937 @@ -0,0 +1,5 @@ +61 +122 +4.0 +6658338539.452053 +1334192000.0 \ No newline at end of file diff --git a/reduced-wall-cost/938 b/reduced-wall-cost/938 new file mode 100644 index 00000000..e84d2f1c --- /dev/null +++ b/reduced-wall-cost/938 @@ -0,0 +1,5 @@ +61 +122 +4.5 +6825112539.452053 +1500966000.0 \ No newline at end of file diff --git a/reduced-wall-cost/939 b/reduced-wall-cost/939 new file mode 100644 index 00000000..bdb8733b --- /dev/null +++ b/reduced-wall-cost/939 @@ -0,0 +1,5 @@ +61 +122 +5.0 +6991886539.452053 +1667740000.0 \ No newline at end of file diff --git a/reduced-wall-cost/94 b/reduced-wall-cost/94 new file mode 100644 index 00000000..7ccfc3c7 --- /dev/null +++ b/reduced-wall-cost/94 @@ -0,0 +1,5 @@ +0 +91 +2.5 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end of file diff --git a/reduced-wall-cost/944 b/reduced-wall-cost/944 new file mode 100644 index 00000000..0b590868 --- /dev/null +++ b/reduced-wall-cost/944 @@ -0,0 +1,5 @@ +61 +132 +2.5 +6288885298.454416 +970570000.0 \ No newline at end of file diff --git a/reduced-wall-cost/945 b/reduced-wall-cost/945 new file mode 100644 index 00000000..8819fbcb --- /dev/null +++ b/reduced-wall-cost/945 @@ -0,0 +1,5 @@ +61 +132 +3.0 +6482829376.874649 +1164684000.0 \ No newline at end of file diff --git a/reduced-wall-cost/946 b/reduced-wall-cost/946 new file mode 100644 index 00000000..c1b9b903 --- /dev/null +++ b/reduced-wall-cost/946 @@ -0,0 +1,5 @@ +61 +132 +3.5 +6676943376.874649 +1358798000.0 \ No newline at end of file diff --git a/reduced-wall-cost/947 b/reduced-wall-cost/947 new file mode 100644 index 00000000..3c4362f4 --- /dev/null +++ b/reduced-wall-cost/947 @@ -0,0 +1,5 @@ +61 +132 +4.0 +6871057376.874649 +1552912000.0 \ No newline at end of file diff --git a/reduced-wall-cost/948 b/reduced-wall-cost/948 new file mode 100644 index 00000000..5a0627a3 --- /dev/null +++ b/reduced-wall-cost/948 @@ -0,0 +1,5 @@ +61 +132 +4.5 +7065171376.874649 +1747026000.0 \ No newline at end of file diff --git a/reduced-wall-cost/949 b/reduced-wall-cost/949 new file mode 100644 index 00000000..bc316dce --- /dev/null +++ b/reduced-wall-cost/949 @@ -0,0 +1,5 @@ +61 +132 +5.0 +7259285376.874649 +1941140000.0 \ No newline at end of file diff --git a/reduced-wall-cost/95 b/reduced-wall-cost/95 new file mode 100644 index 00000000..b529bcb7 --- /dev/null +++ b/reduced-wall-cost/95 @@ -0,0 +1,5 @@ +0 +91 +3.0 +4665465604.79627 +1492764000.0 \ No newline at end of file diff --git a/reduced-wall-cost/950 b/reduced-wall-cost/950 new file mode 100644 index 00000000..1e0a0059 --- /dev/null +++ b/reduced-wall-cost/950 @@ -0,0 +1,5 @@ +61 +142 +0.5 +5507523952.95444 +221454000.0 \ No newline at end of file diff --git a/reduced-wall-cost/951 b/reduced-wall-cost/951 new file mode 100644 index 00000000..1f6630f4 --- /dev/null +++ b/reduced-wall-cost/951 @@ -0,0 +1,5 @@ +61 +142 +1.0 +5703317797.314316 +442908000.0 \ No newline at end of file diff --git a/reduced-wall-cost/952 b/reduced-wall-cost/952 new file mode 100644 index 00000000..ce59372a --- /dev/null +++ b/reduced-wall-cost/952 @@ -0,0 +1,5 @@ +61 +142 +1.5 +5905732286.405385 +664362000.0 \ No newline at end of file diff --git a/reduced-wall-cost/953 b/reduced-wall-cost/953 new file mode 100644 index 00000000..90d66b24 --- /dev/null +++ b/reduced-wall-cost/953 @@ -0,0 +1,5 @@ +61 +142 +2.0 +6096327541.208692 +885816000.0 \ No newline at end of file diff --git a/reduced-wall-cost/954 b/reduced-wall-cost/954 new file mode 100644 index 00000000..3191c22f --- /dev/null +++ b/reduced-wall-cost/954 @@ -0,0 +1,5 @@ +61 +142 +2.5 +6311900302.025795 +1107270000.0 \ No newline at end of file diff --git a/reduced-wall-cost/955 b/reduced-wall-cost/955 new file mode 100644 index 00000000..d22265ea --- /dev/null +++ b/reduced-wall-cost/955 @@ -0,0 +1,5 @@ +61 +142 +3.0 +6532872196.057195 +1328724000.0 \ No newline at end of file diff --git a/reduced-wall-cost/956 b/reduced-wall-cost/956 new file mode 100644 index 00000000..3d8fb372 --- /dev/null +++ b/reduced-wall-cost/956 @@ -0,0 +1,5 @@ +61 +142 +3.5 +6754323607.857711 +1550178000.0 \ No newline at end of file diff --git a/reduced-wall-cost/957 b/reduced-wall-cost/957 new file mode 100644 index 00000000..311fd202 --- /dev/null +++ b/reduced-wall-cost/957 @@ -0,0 +1,5 @@ +61 +142 +4.0 +6975777607.857711 +1771632000.0 \ No newline at end of file diff --git a/reduced-wall-cost/958 b/reduced-wall-cost/958 new file mode 100644 index 00000000..247f6b58 --- /dev/null +++ b/reduced-wall-cost/958 @@ -0,0 +1,5 @@ +61 +142 +4.5 +7197231607.857711 +1993086000.0 \ No newline at end of file diff --git a/reduced-wall-cost/959 b/reduced-wall-cost/959 new file mode 100644 index 00000000..5d09ce34 --- /dev/null +++ b/reduced-wall-cost/959 @@ -0,0 +1,5 @@ +61 +142 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end of file diff --git a/reduced-wall-cost/963 b/reduced-wall-cost/963 new file mode 100644 index 00000000..8bcf83a3 --- /dev/null +++ b/reduced-wall-cost/963 @@ -0,0 +1,5 @@ +61 +152 +2.0 +5876656724.180126 +995176000.0 \ No newline at end of file diff --git a/reduced-wall-cost/964 b/reduced-wall-cost/964 new file mode 100644 index 00000000..ed12da72 --- /dev/null +++ b/reduced-wall-cost/964 @@ -0,0 +1,5 @@ +61 +152 +2.5 +6120770729.777912 +1243970000.0 \ No newline at end of file diff --git a/reduced-wall-cost/965 b/reduced-wall-cost/965 new file mode 100644 index 00000000..f6c5f1b7 --- /dev/null +++ b/reduced-wall-cost/965 @@ -0,0 +1,5 @@ +61 +152 +3.0 +6371104096.886984 +1492764000.0 \ No newline at end of file diff --git a/reduced-wall-cost/966 b/reduced-wall-cost/966 new file mode 100644 index 00000000..37f4339e --- /dev/null +++ b/reduced-wall-cost/966 @@ -0,0 +1,5 @@ +61 +152 +3.5 +6614743888.395808 +1741558000.0 \ No newline at end of file diff --git a/reduced-wall-cost/967 b/reduced-wall-cost/967 new file mode 100644 index 00000000..23918a03 --- /dev/null +++ b/reduced-wall-cost/967 @@ -0,0 +1,5 @@ +61 +152 +4.0 +6863537888.395808 +1990352000.0 \ No newline at end of file diff --git a/reduced-wall-cost/968 b/reduced-wall-cost/968 new file mode 100644 index 00000000..cb48f4ea --- /dev/null +++ b/reduced-wall-cost/968 @@ -0,0 +1,5 @@ +61 +152 +4.5 +7112331888.395808 +2239146000.0 \ No newline at end of file diff --git a/reduced-wall-cost/969 b/reduced-wall-cost/969 new file mode 100644 index 00000000..bc987849 --- /dev/null +++ b/reduced-wall-cost/969 @@ -0,0 +1,5 @@ +61 +152 +5.0 +7361125888.395808 +2487940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/97 b/reduced-wall-cost/97 new file mode 100644 index 00000000..9233f4fd --- /dev/null +++ b/reduced-wall-cost/97 @@ -0,0 +1,5 @@ +0 +91 +4.0 +5160892506.312621 +1990352000.0 \ No newline at end of file diff --git a/reduced-wall-cost/970 b/reduced-wall-cost/970 new file mode 100644 index 00000000..e8bffe51 --- /dev/null +++ b/reduced-wall-cost/970 @@ -0,0 +1,5 @@ +61 +163 +0.5 +4953651061.52585 +278868000.0 \ No newline at end of file diff --git a/reduced-wall-cost/971 b/reduced-wall-cost/971 new file mode 100644 index 00000000..cd5ccc16 --- /dev/null +++ b/reduced-wall-cost/971 @@ -0,0 +1,5 @@ +61 +163 +1.0 +5034779299.884923 +557736000.0 \ No newline at end of file diff --git a/reduced-wall-cost/972 b/reduced-wall-cost/972 new file mode 100644 index 00000000..2e9f9db0 --- /dev/null +++ b/reduced-wall-cost/972 @@ -0,0 +1,5 @@ +61 +163 +1.5 +5174496185.850685 +836604000.0 \ No newline at end of file diff --git a/reduced-wall-cost/973 b/reduced-wall-cost/973 new file mode 100644 index 00000000..5a94768c --- /dev/null +++ b/reduced-wall-cost/973 @@ -0,0 +1,5 @@ +61 +163 +2.0 +5275879272.551918 +1115472000.0 \ No newline at end of file diff --git a/reduced-wall-cost/974 b/reduced-wall-cost/974 new file mode 100644 index 00000000..e70ec87f --- /dev/null +++ b/reduced-wall-cost/974 @@ -0,0 +1,5 @@ +61 +163 +2.5 +5550163770.125352 +1394340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/975 b/reduced-wall-cost/975 new file mode 100644 index 00000000..3e8fdc88 --- /dev/null +++ b/reduced-wall-cost/975 @@ -0,0 +1,5 @@ +61 +163 +3.0 +5830572566.135535 +1673208000.0 \ No newline at end of file diff --git a/reduced-wall-cost/976 b/reduced-wall-cost/976 new file mode 100644 index 00000000..135dca80 --- /dev/null +++ b/reduced-wall-cost/976 @@ -0,0 +1,5 @@ +61 +163 +3.5 +6104464804.465924 +1952076000.0 \ No newline at end of file diff --git a/reduced-wall-cost/977 b/reduced-wall-cost/977 new file mode 100644 index 00000000..98959dfc --- /dev/null +++ b/reduced-wall-cost/977 @@ -0,0 +1,5 @@ +61 +163 +4.0 +6383332804.465925 +2230944000.0 \ No newline at end of file diff --git a/reduced-wall-cost/978 b/reduced-wall-cost/978 new file mode 100644 index 00000000..0cc563ca --- /dev/null +++ b/reduced-wall-cost/978 @@ -0,0 +1,5 @@ +61 +163 +4.5 +6662200804.465925 +2509812000.0 \ No newline at end of file diff --git a/reduced-wall-cost/979 b/reduced-wall-cost/979 new file mode 100644 index 00000000..e830b6ed --- /dev/null +++ b/reduced-wall-cost/979 @@ -0,0 +1,5 @@ +61 +163 +5.0 +6941068804.465925 +2788680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/98 b/reduced-wall-cost/98 new file mode 100644 index 00000000..8e7dfb37 --- /dev/null +++ b/reduced-wall-cost/98 @@ -0,0 +1,5 @@ +0 +91 +4.5 +5409686506.312621 +2239146000.0 \ No newline at end of file diff --git a/reduced-wall-cost/980 b/reduced-wall-cost/980 new file mode 100644 index 00000000..d9ea307a --- /dev/null +++ b/reduced-wall-cost/980 @@ -0,0 +1,5 @@ +71 +71 +0.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/981 b/reduced-wall-cost/981 new file mode 100644 index 00000000..ff818a92 --- /dev/null +++ b/reduced-wall-cost/981 @@ -0,0 +1,5 @@ +71 +71 +1.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/982 b/reduced-wall-cost/982 new file mode 100644 index 00000000..e100a8dd --- /dev/null +++ b/reduced-wall-cost/982 @@ -0,0 +1,5 @@ +71 +71 +1.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/983 b/reduced-wall-cost/983 new file mode 100644 index 00000000..5a3f35d6 --- /dev/null +++ b/reduced-wall-cost/983 @@ -0,0 +1,5 @@ +71 +71 +2.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/984 b/reduced-wall-cost/984 new file mode 100644 index 00000000..d389dc53 --- /dev/null +++ b/reduced-wall-cost/984 @@ -0,0 +1,5 @@ +71 +71 +2.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/985 b/reduced-wall-cost/985 new file mode 100644 index 00000000..15338249 --- /dev/null +++ b/reduced-wall-cost/985 @@ -0,0 +1,5 @@ +71 +71 +3.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/986 b/reduced-wall-cost/986 new file mode 100644 index 00000000..1fa4df04 --- /dev/null +++ b/reduced-wall-cost/986 @@ -0,0 +1,5 @@ +71 +71 +3.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/987 b/reduced-wall-cost/987 new file mode 100644 index 00000000..64d9a033 --- /dev/null +++ b/reduced-wall-cost/987 @@ -0,0 +1,5 @@ +71 +71 +4.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/988 b/reduced-wall-cost/988 new file mode 100644 index 00000000..cd9e29a2 --- /dev/null +++ b/reduced-wall-cost/988 @@ -0,0 +1,5 @@ +71 +71 +4.5 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/989 b/reduced-wall-cost/989 new file mode 100644 index 00000000..6f693e9a --- /dev/null +++ b/reduced-wall-cost/989 @@ -0,0 +1,5 @@ +71 +71 +5.0 +5389096337.18467 +0.0 \ No newline at end of file diff --git a/reduced-wall-cost/99 b/reduced-wall-cost/99 new file mode 100644 index 00000000..a39de25c --- /dev/null +++ b/reduced-wall-cost/99 @@ -0,0 +1,5 @@ +0 +91 +5.0 +5658480506.312621 +2487940000.0 \ No newline at end of file diff --git a/reduced-wall-cost/990 b/reduced-wall-cost/990 new file mode 100644 index 00000000..06757d92 --- /dev/null +++ b/reduced-wall-cost/990 @@ -0,0 +1,5 @@ +71 +81 +0.5 +5416413544.716814 +27340000.0 \ No newline at end of file diff --git a/reduced-wall-cost/991 b/reduced-wall-cost/991 new file mode 100644 index 00000000..08510eda --- /dev/null +++ b/reduced-wall-cost/991 @@ -0,0 +1,5 @@ +71 +81 +1.0 +5442900561.957638 +54680000.0 \ No newline at end of file diff --git a/reduced-wall-cost/992 b/reduced-wall-cost/992 new file mode 100644 index 00000000..faa126a9 --- /dev/null +++ b/reduced-wall-cost/992 @@ -0,0 +1,5 @@ +71 +81 +1.5 +5466996052.1237755 +82020000.0 \ No newline at end of file diff --git a/reduced-wall-cost/993 b/reduced-wall-cost/993 new file mode 100644 index 00000000..070bf747 --- /dev/null +++ b/reduced-wall-cost/993 @@ -0,0 +1,5 @@ +71 +81 +2.0 +5493812488.733725 +109360000.0 \ No newline at end of file diff --git a/reduced-wall-cost/994 b/reduced-wall-cost/994 new file mode 100644 index 00000000..0a6ca0d4 --- /dev/null +++ b/reduced-wall-cost/994 @@ -0,0 +1,5 @@ +71 +81 +2.5 +5521117164.437863 +136700000.0 \ No newline at end of file diff --git a/reduced-wall-cost/995 b/reduced-wall-cost/995 new file mode 100644 index 00000000..6ef05973 --- /dev/null +++ b/reduced-wall-cost/995 @@ -0,0 +1,5 @@ +71 +81 +3.0 +5548457164.437863 +164040000.0 \ No newline at end of file diff --git a/reduced-wall-cost/996 b/reduced-wall-cost/996 new file mode 100644 index 00000000..d123655a --- /dev/null +++ b/reduced-wall-cost/996 @@ -0,0 +1,5 @@ +71 +81 +3.5 +5575797164.437863 +191380000.0 \ No newline at end of file diff --git a/reduced-wall-cost/997 b/reduced-wall-cost/997 new file mode 100644 index 00000000..e605bfc0 --- /dev/null +++ b/reduced-wall-cost/997 @@ -0,0 +1,5 @@ +71 +81 +4.0 +5603137164.437863 +218720000.0 \ No newline at end of file diff --git a/reduced-wall-cost/998 b/reduced-wall-cost/998 new file mode 100644 index 00000000..d6c29e46 --- /dev/null +++ b/reduced-wall-cost/998 @@ -0,0 +1,5 @@ +71 +81 +4.5 +5630477164.437863 +246060000.0 \ No newline at end of file diff --git a/reduced-wall-cost/999 b/reduced-wall-cost/999 new file mode 100644 index 00000000..535fda7f --- /dev/null +++ b/reduced-wall-cost/999 @@ -0,0 +1,5 @@ +71 +81 +5.0 +5657817164.437863 +273400000.0 \ No newline at end of file diff --git a/run.sh b/run.sh new file mode 100644 index 00000000..e61d6173 --- /dev/null +++ b/run.sh @@ -0,0 +1,10 @@ +#!/bin/sh +# +#SBATCH --account=apam +#SBATCH --job-name=run_ +# SBATCH --gres=gpu:1 # Request 1 gpu (Up to 4 on K80s, or up to 2 on P100s are valid). +#SBATCH -c 1 # The number of cpu cores to use. +#SBATCH --time 0:01:00 # The time the job will take to run. +#SBATCH --mem-per-cpu=1gb # The memory the job will use per cpu core. +#SBATCH --mail-type=ALL + diff --git a/run1.sh b/run1.sh new file mode 100644 index 00000000..7bd0cb1c --- /dev/null +++ b/run1.sh @@ -0,0 +1,11 @@ +#!/bin/sh +# +#SBATCH --account=apam +#SBATCH --job-name=run_ +# SBATCH --gres=gpu:1 # Request 1 gpu (Up to 4 on K80s, or up to 2 on P100s are valid). +#SBATCH -c 1 # The number of cpu cores to use. +#SBATCH --time 0:20:00 # The time the job will take to run. +#SBATCH --mem-per-cpu=1gb # The memory the job will use per cpu core. +#SBATCH --mail-type=ALL + +python main_opt_loop_new.py 0 163 4 diff --git a/run2.sh b/run2.sh new file mode 100644 index 00000000..cecdcbb4 --- /dev/null +++ b/run2.sh @@ -0,0 +1,11 @@ +#!/bin/sh +# +#SBATCH --account=apam +#SBATCH --job-name=run_ +# SBATCH --gres=gpu:1 # Request 1 gpu (Up to 4 on K80s, or up to 2 on P100s are valid). +#SBATCH -c 1 # The number of cpu cores to use. +#SBATCH --time 0:20:00 # The time the job will take to run. +#SBATCH --mem-per-cpu=1gb # The memory the job will use per cpu core. +#SBATCH --mail-type=ALL + +python main_opt_loop_new.py 0 80 1 diff --git a/updatedrun/0 b/updatedrun/0 new file mode 100644 index 00000000..5874e518 --- /dev/null +++ b/updatedrun/0 @@ -0,0 +1,5 @@ +0 +0 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1 b/updatedrun/1 new file mode 100644 index 00000000..3ecec3fb --- /dev/null +++ b/updatedrun/1 @@ -0,0 +1,5 @@ +0 +0 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/10 b/updatedrun/10 new file mode 100644 index 00000000..98ed66f4 --- /dev/null +++ b/updatedrun/10 @@ -0,0 +1,5 @@ +0 +10 +0.5 +5022536305.85432 +54680000.0 \ No newline at end of file diff --git a/updatedrun/100 b/updatedrun/100 new file mode 100644 index 00000000..34414605 --- /dev/null +++ b/updatedrun/100 @@ -0,0 +1,5 @@ +0 +101 +0.5 +5392769816.790452 +552268000.0 \ No newline at end of file diff --git a/updatedrun/1000 b/updatedrun/1000 new file mode 100644 index 00000000..7b47e75b --- /dev/null +++ b/updatedrun/1000 @@ -0,0 +1,5 @@ +71 +91 +0.5 +5117596238.698163 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1001 b/updatedrun/1001 new file mode 100644 index 00000000..4ffb8ae9 --- /dev/null +++ b/updatedrun/1001 @@ -0,0 +1,5 @@ +71 +91 +1.0 +5225799110.439131 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1002 b/updatedrun/1002 new file mode 100644 index 00000000..23ca9866 --- /dev/null +++ b/updatedrun/1002 @@ -0,0 +1,5 @@ +71 +91 +1.5 +5331976703.882934 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1003 b/updatedrun/1003 new file mode 100644 index 00000000..14c6bcc5 --- /dev/null +++ b/updatedrun/1003 @@ -0,0 +1,5 @@ +71 +91 +2.0 +5441142698.379261 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1004 b/updatedrun/1004 new file mode 100644 index 00000000..3144ad7c --- /dev/null +++ b/updatedrun/1004 @@ -0,0 +1,5 @@ +71 +91 +2.5 +5550484713.419743 +546800000.0 \ No newline at end of file diff --git a/updatedrun/1005 b/updatedrun/1005 new file mode 100644 index 00000000..c20e60ec --- /dev/null +++ b/updatedrun/1005 @@ -0,0 +1,5 @@ +71 +91 +3.0 +5659844713.419743 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1006 b/updatedrun/1006 new file mode 100644 index 00000000..0b2ca6e3 --- /dev/null +++ b/updatedrun/1006 @@ -0,0 +1,5 @@ +71 +91 +3.5 +5769204713.419743 +765520000.0 \ No newline at end of file diff --git a/updatedrun/1007 b/updatedrun/1007 new file mode 100644 index 00000000..b705f7f4 --- /dev/null +++ b/updatedrun/1007 @@ -0,0 +1,5 @@ +71 +91 +4.0 +5878564713.419743 +874880000.0 \ No newline at end of file diff --git a/updatedrun/1008 b/updatedrun/1008 new file mode 100644 index 00000000..c19255e7 --- /dev/null +++ b/updatedrun/1008 @@ -0,0 +1,5 @@ +71 +91 +4.5 +5987924713.419743 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1009 b/updatedrun/1009 new file mode 100644 index 00000000..877a8cdc --- /dev/null +++ b/updatedrun/1009 @@ -0,0 +1,5 @@ +71 +91 +5.0 +6097284713.419743 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/101 b/updatedrun/101 new file mode 100644 index 00000000..2b0b7964 --- /dev/null +++ b/updatedrun/101 @@ -0,0 +1,5 @@ +0 +101 +1.0 +5671055065.334809 +1104536000.0 \ No newline at end of file diff --git a/updatedrun/1010 b/updatedrun/1010 new file mode 100644 index 00000000..c9eeb6b9 --- /dev/null +++ b/updatedrun/1010 @@ -0,0 +1,5 @@ +71 +101 +0.5 +5172276238.698163 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1011 b/updatedrun/1011 new file mode 100644 index 00000000..0b4fcaa8 --- /dev/null +++ b/updatedrun/1011 @@ -0,0 +1,5 @@ +71 +101 +1.0 +5335159110.439131 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1012 b/updatedrun/1012 new file mode 100644 index 00000000..49f4d902 --- /dev/null +++ b/updatedrun/1012 @@ -0,0 +1,5 @@ +71 +101 +1.5 +5496016703.882934 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1013 b/updatedrun/1013 new file mode 100644 index 00000000..fc6c3ccd --- /dev/null +++ b/updatedrun/1013 @@ -0,0 +1,5 @@ +71 +101 +2.0 +5659862698.379261 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1014 b/updatedrun/1014 new file mode 100644 index 00000000..05f10439 --- /dev/null +++ b/updatedrun/1014 @@ -0,0 +1,5 @@ +71 +101 +2.5 +5823884713.419743 +820200000.0 \ No newline at end of file diff --git a/updatedrun/1015 b/updatedrun/1015 new file mode 100644 index 00000000..8da962db --- /dev/null +++ b/updatedrun/1015 @@ -0,0 +1,5 @@ +71 +101 +3.0 +5987924713.419743 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1016 b/updatedrun/1016 new file mode 100644 index 00000000..efb2eb46 --- /dev/null +++ b/updatedrun/1016 @@ -0,0 +1,5 @@ +71 +101 +3.5 +6151964713.419743 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/1017 b/updatedrun/1017 new file mode 100644 index 00000000..144bec45 --- /dev/null +++ b/updatedrun/1017 @@ -0,0 +1,5 @@ +71 +101 +4.0 +6316004713.419743 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/1018 b/updatedrun/1018 new file mode 100644 index 00000000..5344ad11 --- /dev/null +++ b/updatedrun/1018 @@ -0,0 +1,5 @@ +71 +101 +4.5 +6480044713.419743 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/1019 b/updatedrun/1019 new file mode 100644 index 00000000..b8cc3968 --- /dev/null +++ b/updatedrun/1019 @@ -0,0 +1,5 @@ +71 +101 +5.0 +6644084713.419743 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/102 b/updatedrun/102 new file mode 100644 index 00000000..98ed7e42 --- /dev/null +++ b/updatedrun/102 @@ -0,0 +1,5 @@ +0 +101 +1.5 +5342503723.887156 +1656804000.0 \ No newline at end of file diff --git a/updatedrun/1020 b/updatedrun/1020 new file mode 100644 index 00000000..60763deb --- /dev/null +++ b/updatedrun/1020 @@ -0,0 +1,5 @@ +71 +112 +0.5 +5194635306.015213 +224188000.0 \ No newline at end of file diff --git a/updatedrun/1021 b/updatedrun/1021 new file mode 100644 index 00000000..b7749281 --- /dev/null +++ b/updatedrun/1021 @@ -0,0 +1,5 @@ +71 +112 +1.0 +5416310414.683841 +448376000.0 \ No newline at end of file diff --git a/updatedrun/1022 b/updatedrun/1022 new file mode 100644 index 00000000..faba5421 --- /dev/null +++ b/updatedrun/1022 @@ -0,0 +1,5 @@ +71 +112 +1.5 +5631248414.933231 +672564000.0 \ No newline at end of file diff --git a/updatedrun/1023 b/updatedrun/1023 new file mode 100644 index 00000000..193a5199 --- /dev/null +++ b/updatedrun/1023 @@ -0,0 +1,5 @@ +71 +112 +2.0 +5853594945.9641485 +896752000.0 \ No newline at end of file diff --git a/updatedrun/1024 b/updatedrun/1024 new file mode 100644 index 00000000..df0506d7 --- /dev/null +++ b/updatedrun/1024 @@ -0,0 +1,5 @@ +71 +112 +2.5 +6077639310.9461975 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/1025 b/updatedrun/1025 new file mode 100644 index 00000000..420d4b08 --- /dev/null +++ b/updatedrun/1025 @@ -0,0 +1,5 @@ +71 +112 +3.0 +6301827310.9461975 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/1026 b/updatedrun/1026 new file mode 100644 index 00000000..70b16903 --- /dev/null +++ b/updatedrun/1026 @@ -0,0 +1,5 @@ +71 +112 +3.5 +6526015310.9461975 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/1027 b/updatedrun/1027 new file mode 100644 index 00000000..88f98c84 --- /dev/null +++ b/updatedrun/1027 @@ -0,0 +1,5 @@ +71 +112 +4.0 +6750203310.9461975 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/1028 b/updatedrun/1028 new file mode 100644 index 00000000..28eccbac --- /dev/null +++ b/updatedrun/1028 @@ -0,0 +1,5 @@ +71 +112 +4.5 +6974391310.9461975 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/1029 b/updatedrun/1029 new file mode 100644 index 00000000..d904a9f9 --- /dev/null +++ b/updatedrun/1029 @@ -0,0 +1,5 @@ +71 +112 +5.0 +7198579310.9461975 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/103 b/updatedrun/103 new file mode 100644 index 00000000..f7363f4f --- /dev/null +++ b/updatedrun/103 @@ -0,0 +1,5 @@ +0 +101 +2.0 +5234545463.928363 +2209072000.0 \ No newline at end of file diff --git a/updatedrun/1030 b/updatedrun/1030 new file mode 100644 index 00000000..a6497f20 --- /dev/null +++ b/updatedrun/1030 @@ -0,0 +1,5 @@ +71 +122 +0.5 +5247477614.331006 +278868000.0 \ No newline at end of file diff --git a/updatedrun/1031 b/updatedrun/1031 new file mode 100644 index 00000000..cce12661 --- /dev/null +++ b/updatedrun/1031 @@ -0,0 +1,5 @@ +71 +122 +1.0 +5523171724.485527 +557736000.0 \ No newline at end of file diff --git a/updatedrun/1032 b/updatedrun/1032 new file mode 100644 index 00000000..0f41f1bd --- /dev/null +++ b/updatedrun/1032 @@ -0,0 +1,5 @@ +71 +122 +1.5 +5791658016.627821 +836604000.0 \ No newline at end of file diff --git a/updatedrun/1033 b/updatedrun/1033 new file mode 100644 index 00000000..9e5985e1 --- /dev/null +++ b/updatedrun/1033 @@ -0,0 +1,5 @@ +71 +122 +2.0 +6068942733.6572275 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/1034 b/updatedrun/1034 new file mode 100644 index 00000000..7b101dc7 --- /dev/null +++ b/updatedrun/1034 @@ -0,0 +1,5 @@ +71 +122 +2.5 +6347732555.054794 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/1035 b/updatedrun/1035 new file mode 100644 index 00000000..41b6dbed --- /dev/null +++ b/updatedrun/1035 @@ -0,0 +1,5 @@ +71 +122 +3.0 +6626600463.298139 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/1036 b/updatedrun/1036 new file mode 100644 index 00000000..94a52cb6 --- /dev/null +++ b/updatedrun/1036 @@ -0,0 +1,5 @@ +71 +122 +3.5 +6905468463.298139 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/1037 b/updatedrun/1037 new file mode 100644 index 00000000..090b8262 --- /dev/null +++ b/updatedrun/1037 @@ -0,0 +1,5 @@ +71 +122 +4.0 +7184336463.298138 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/1038 b/updatedrun/1038 new file mode 100644 index 00000000..701989ff --- /dev/null +++ b/updatedrun/1038 @@ -0,0 +1,5 @@ +71 +122 +4.5 +7463204463.298138 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/1039 b/updatedrun/1039 new file mode 100644 index 00000000..47850645 --- /dev/null +++ b/updatedrun/1039 @@ -0,0 +1,5 @@ +71 +122 +5.0 +7742072463.298138 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/104 b/updatedrun/104 new file mode 100644 index 00000000..06a16e89 --- /dev/null +++ b/updatedrun/104 @@ -0,0 +1,5 @@ +0 +101 +2.5 +5660425093.712098 +2761340000.0 \ No newline at end of file diff --git a/updatedrun/1040 b/updatedrun/1040 new file mode 100644 index 00000000..1a485497 --- /dev/null +++ b/updatedrun/1040 @@ -0,0 +1,5 @@ +71 +132 +0.5 +5298723484.605275 +333548000.0 \ No newline at end of file diff --git a/updatedrun/1041 b/updatedrun/1041 new file mode 100644 index 00000000..52b7b612 --- /dev/null +++ b/updatedrun/1041 @@ -0,0 +1,5 @@ +71 +132 +1.0 +5628072031.966907 +667096000.0 \ No newline at end of file diff --git a/updatedrun/1042 b/updatedrun/1042 new file mode 100644 index 00000000..d40a7569 --- /dev/null +++ b/updatedrun/1042 @@ -0,0 +1,5 @@ +71 +132 +1.5 +5951241516.860461 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/1043 b/updatedrun/1043 new file mode 100644 index 00000000..9ea16566 --- /dev/null +++ b/updatedrun/1043 @@ -0,0 +1,5 @@ +71 +132 +2.0 +6283453670.806724 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/1044 b/updatedrun/1044 new file mode 100644 index 00000000..7a375591 --- /dev/null +++ b/updatedrun/1044 @@ -0,0 +1,5 @@ +71 +132 +2.5 +6616970533.62653 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/1045 b/updatedrun/1045 new file mode 100644 index 00000000..824cb0cb --- /dev/null +++ b/updatedrun/1045 @@ -0,0 +1,5 @@ +71 +132 +3.0 +6950516835.221477 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/1046 b/updatedrun/1046 new file mode 100644 index 00000000..b5cd5f47 --- /dev/null +++ b/updatedrun/1046 @@ -0,0 +1,5 @@ +71 +132 +3.5 +7284064835.221477 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/1047 b/updatedrun/1047 new file mode 100644 index 00000000..d7eb305e --- /dev/null +++ b/updatedrun/1047 @@ -0,0 +1,5 @@ +71 +132 +4.0 +7617612835.221477 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/1048 b/updatedrun/1048 new file mode 100644 index 00000000..d3491532 --- /dev/null +++ b/updatedrun/1048 @@ -0,0 +1,5 @@ +71 +132 +4.5 +7951160835.221477 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/1049 b/updatedrun/1049 new file mode 100644 index 00000000..3713c231 --- /dev/null +++ b/updatedrun/1049 @@ -0,0 +1,5 @@ +71 +132 +5.0 +8284708835.221477 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/105 b/updatedrun/105 new file mode 100644 index 00000000..2f4e2098 --- /dev/null +++ b/updatedrun/105 @@ -0,0 +1,5 @@ +0 +101 +3.0 +6167262231.522079 +3313608000.0 \ No newline at end of file diff --git a/updatedrun/1050 b/updatedrun/1050 new file mode 100644 index 00000000..e0c699c5 --- /dev/null +++ b/updatedrun/1050 @@ -0,0 +1,5 @@ +71 +142 +0.5 +5299100896.456594 +388228000.0 \ No newline at end of file diff --git a/updatedrun/1051 b/updatedrun/1051 new file mode 100644 index 00000000..fed6db48 --- /dev/null +++ b/updatedrun/1051 @@ -0,0 +1,5 @@ +71 +142 +1.0 +5666692147.673001 +776456000.0 \ No newline at end of file diff --git a/updatedrun/1052 b/updatedrun/1052 new file mode 100644 index 00000000..127fc88f --- /dev/null +++ b/updatedrun/1052 @@ -0,0 +1,5 @@ +71 +142 +1.5 +6043065617.27469 +1164684000.0 \ No newline at end of file diff --git a/updatedrun/1053 b/updatedrun/1053 new file mode 100644 index 00000000..13db8c2e --- /dev/null +++ b/updatedrun/1053 @@ -0,0 +1,5 @@ +71 +142 +2.0 +6426628606.6816635 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/1054 b/updatedrun/1054 new file mode 100644 index 00000000..ae1b412d --- /dev/null +++ b/updatedrun/1054 @@ -0,0 +1,5 @@ +71 +142 +2.5 +6813843808.014014 +1941140000.0 \ No newline at end of file diff --git a/updatedrun/1055 b/updatedrun/1055 new file mode 100644 index 00000000..3388d47b --- /dev/null +++ b/updatedrun/1055 @@ -0,0 +1,5 @@ +71 +142 +3.0 +7201866919.472424 +2329368000.0 \ No newline at end of file diff --git a/updatedrun/1056 b/updatedrun/1056 new file mode 100644 index 00000000..f2415bcf --- /dev/null +++ b/updatedrun/1056 @@ -0,0 +1,5 @@ +71 +142 +3.5 +7590092811.561921 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/1057 b/updatedrun/1057 new file mode 100644 index 00000000..901ff6d5 --- /dev/null +++ b/updatedrun/1057 @@ -0,0 +1,5 @@ +71 +142 +4.0 +7978320811.561921 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/1058 b/updatedrun/1058 new file mode 100644 index 00000000..5dddf320 --- /dev/null +++ b/updatedrun/1058 @@ -0,0 +1,5 @@ +71 +142 +4.5 +8366548811.561921 +3494052000.0 \ No newline at end of file diff --git a/updatedrun/1059 b/updatedrun/1059 new file mode 100644 index 00000000..59ebefa7 --- /dev/null +++ b/updatedrun/1059 @@ -0,0 +1,5 @@ +71 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mode 100644 index 00000000..399abc79 --- /dev/null +++ b/updatedrun/1063 @@ -0,0 +1,5 @@ +71 +152 +2.0 +6334459246.730503 +1771632000.0 \ No newline at end of file diff --git a/updatedrun/1064 b/updatedrun/1064 new file mode 100644 index 00000000..014262be --- /dev/null +++ b/updatedrun/1064 @@ -0,0 +1,5 @@ +71 +152 +2.5 +6776487648.069132 +2214540000.0 \ No newline at end of file diff --git a/updatedrun/1065 b/updatedrun/1065 new file mode 100644 index 00000000..735283ce --- /dev/null +++ b/updatedrun/1065 @@ -0,0 +1,5 @@ +71 +152 +3.0 +7219267815.464102 +2657448000.0 \ No newline at end of file diff --git a/updatedrun/1066 b/updatedrun/1066 new file mode 100644 index 00000000..a5620c54 --- /dev/null +++ b/updatedrun/1066 @@ -0,0 +1,5 @@ +71 +152 +3.5 +7662173663.428682 +3100356000.0 \ No newline at end of file diff --git a/updatedrun/1067 b/updatedrun/1067 new file mode 100644 index 00000000..03a5b4ea --- /dev/null +++ b/updatedrun/1067 @@ -0,0 +1,5 @@ +71 +152 +4.0 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100644 index 00000000..77bd30bd --- /dev/null +++ b/updatedrun/1071 @@ -0,0 +1,5 @@ +71 +163 +1.0 +5162387632.977088 +1006112000.0 \ No newline at end of file diff --git a/updatedrun/1072 b/updatedrun/1072 new file mode 100644 index 00000000..923eea2a --- /dev/null +++ b/updatedrun/1072 @@ -0,0 +1,5 @@ +71 +163 +1.5 +5557861627.848899 +1509168000.0 \ No newline at end of file diff --git a/updatedrun/1073 b/updatedrun/1073 new file mode 100644 index 00000000..85b5ac52 --- /dev/null +++ b/updatedrun/1073 @@ -0,0 +1,5 @@ +71 +163 +2.0 +5910862654.952372 +2012224000.0 \ No newline at end of file diff --git a/updatedrun/1074 b/updatedrun/1074 new file mode 100644 index 00000000..33ad9087 --- /dev/null +++ b/updatedrun/1074 @@ -0,0 +1,5 @@ +71 +163 +2.5 +6413074580.216498 +2515280000.0 \ No newline at end of file diff --git a/updatedrun/1075 b/updatedrun/1075 new file mode 100644 index 00000000..59a172ba --- /dev/null +++ b/updatedrun/1075 @@ -0,0 +1,5 @@ +71 +163 +3.0 +6916009796.702865 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00000000..a9f405cc --- /dev/null +++ b/updatedrun/108 @@ -0,0 +1,5 @@ +0 +101 +4.5 +7804992365.145591 +4970412000.0 \ No newline at end of file diff --git a/updatedrun/1080 b/updatedrun/1080 new file mode 100644 index 00000000..b53cb4af --- /dev/null +++ b/updatedrun/1080 @@ -0,0 +1,5 @@ +81 +81 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1081 b/updatedrun/1081 new file mode 100644 index 00000000..7d00a7d5 --- /dev/null +++ b/updatedrun/1081 @@ -0,0 +1,5 @@ +81 +81 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1082 b/updatedrun/1082 new file mode 100644 index 00000000..a0581c7d --- /dev/null +++ b/updatedrun/1082 @@ -0,0 +1,5 @@ +81 +81 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1083 b/updatedrun/1083 new file mode 100644 index 00000000..a70b7a20 --- /dev/null +++ b/updatedrun/1083 @@ -0,0 +1,5 @@ +81 +81 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1084 b/updatedrun/1084 new file mode 100644 index 00000000..d0d59b84 --- /dev/null +++ b/updatedrun/1084 @@ -0,0 +1,5 @@ +81 +81 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1085 b/updatedrun/1085 new file mode 100644 index 00000000..97ee3e3f --- /dev/null +++ b/updatedrun/1085 @@ -0,0 +1,5 @@ +81 +81 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1086 b/updatedrun/1086 new file mode 100644 index 00000000..65f046bd --- /dev/null +++ b/updatedrun/1086 @@ -0,0 +1,5 @@ +81 +81 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1087 b/updatedrun/1087 new file mode 100644 index 00000000..a65e8039 --- /dev/null +++ b/updatedrun/1087 @@ -0,0 +1,5 @@ +81 +81 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1088 b/updatedrun/1088 new file mode 100644 index 00000000..52e9952a --- /dev/null +++ b/updatedrun/1088 @@ -0,0 +1,5 @@ +81 +81 +4.5 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00000000..e922a04b --- /dev/null +++ b/updatedrun/1092 @@ -0,0 +1,5 @@ +81 +91 +1.5 +5172302421.964833 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1093 b/updatedrun/1093 new file mode 100644 index 00000000..c3304958 --- /dev/null +++ b/updatedrun/1093 @@ -0,0 +1,5 @@ +81 +91 +2.0 +5226982421.964833 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1094 b/updatedrun/1094 new file mode 100644 index 00000000..aa1ab9e3 --- /dev/null +++ b/updatedrun/1094 @@ -0,0 +1,5 @@ +81 +91 +2.5 +5281662421.964833 +273400000.0 \ No newline at end of file diff --git a/updatedrun/1095 b/updatedrun/1095 new file mode 100644 index 00000000..404504c4 --- /dev/null +++ b/updatedrun/1095 @@ -0,0 +1,5 @@ +81 +91 +3.0 +5336342421.964833 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1096 b/updatedrun/1096 new file mode 100644 index 00000000..cb3fd02d --- /dev/null +++ b/updatedrun/1096 @@ -0,0 +1,5 @@ +81 +91 +3.5 +5391022421.964833 +382760000.0 \ No newline at end of file diff --git a/updatedrun/1097 b/updatedrun/1097 new file mode 100644 index 00000000..80c9bb00 --- /dev/null +++ b/updatedrun/1097 @@ -0,0 +1,5 @@ +81 +91 +4.0 +5445702421.964833 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1098 b/updatedrun/1098 new file mode 100644 index 00000000..d64d2116 --- /dev/null +++ b/updatedrun/1098 @@ -0,0 +1,5 @@ +81 +91 +4.5 +5500382421.964833 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1099 b/updatedrun/1099 new file mode 100644 index 00000000..10567cc4 --- /dev/null +++ b/updatedrun/1099 @@ -0,0 +1,5 @@ +81 +91 +5.0 +5555062421.964833 +546800000.0 \ No newline at end of file diff --git a/updatedrun/11 b/updatedrun/11 new file mode 100644 index 00000000..890074c8 --- /dev/null +++ b/updatedrun/11 @@ -0,0 +1,5 @@ +0 +10 +1.0 +5056622516.668741 +109360000.0 \ No newline at end of file diff --git a/updatedrun/110 b/updatedrun/110 new file mode 100644 index 00000000..735122ee --- /dev/null +++ b/updatedrun/110 @@ -0,0 +1,5 @@ +0 +112 +0.5 +5415143525.290346 +612416000.0 \ No newline at end of file diff --git a/updatedrun/1100 b/updatedrun/1100 new file mode 100644 index 00000000..606859ba --- /dev/null +++ b/updatedrun/1100 @@ -0,0 +1,5 @@ +81 +101 +0.5 +5117622421.964833 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1101 b/updatedrun/1101 new file mode 100644 index 00000000..1d0ce0ee --- /dev/null +++ b/updatedrun/1101 @@ -0,0 +1,5 @@ +81 +101 +1.0 +5226982421.964833 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1102 b/updatedrun/1102 new file mode 100644 index 00000000..c0b397f0 --- /dev/null +++ b/updatedrun/1102 @@ -0,0 +1,5 @@ +81 +101 +1.5 +5336342421.964833 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1103 b/updatedrun/1103 new file mode 100644 index 00000000..1734384f --- /dev/null +++ b/updatedrun/1103 @@ -0,0 +1,5 @@ +81 +101 +2.0 +5445702421.964833 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1104 b/updatedrun/1104 new file mode 100644 index 00000000..a27d0cc1 --- /dev/null +++ b/updatedrun/1104 @@ -0,0 +1,5 @@ +81 +101 +2.5 +5555062421.964833 +546800000.0 \ No newline at end of file diff --git a/updatedrun/1105 b/updatedrun/1105 new file mode 100644 index 00000000..9c7c000b --- /dev/null +++ b/updatedrun/1105 @@ -0,0 +1,5 @@ +81 +101 +3.0 +5664422421.964833 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1106 b/updatedrun/1106 new file mode 100644 index 00000000..109a12a5 --- /dev/null +++ b/updatedrun/1106 @@ -0,0 +1,5 @@ +81 +101 +3.5 +5773782421.964833 +765520000.0 \ No newline at end of file diff --git a/updatedrun/1107 b/updatedrun/1107 new file mode 100644 index 00000000..2a05301d --- /dev/null +++ b/updatedrun/1107 @@ -0,0 +1,5 @@ +81 +101 +4.0 +5883142421.964833 +874880000.0 \ No newline at end of file diff --git a/updatedrun/1108 b/updatedrun/1108 new file mode 100644 index 00000000..0e275660 --- /dev/null +++ b/updatedrun/1108 @@ -0,0 +1,5 @@ +81 +101 +4.5 +5992502421.964833 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1109 b/updatedrun/1109 new file mode 100644 index 00000000..a4960b8c --- /dev/null +++ b/updatedrun/1109 @@ -0,0 +1,5 @@ +81 +101 +5.0 +6101862421.964833 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/111 b/updatedrun/111 new file mode 100644 index 00000000..d13d29b7 --- /dev/null +++ b/updatedrun/111 @@ -0,0 +1,5 @@ +0 +112 +1.0 +5729378096.43088 +1224832000.0 \ No newline at end of file diff --git a/updatedrun/1110 b/updatedrun/1110 new file mode 100644 index 00000000..e8c4a1bd --- /dev/null +++ b/updatedrun/1110 @@ -0,0 +1,5 @@ +81 +112 +0.5 +5139955306.015213 +169508000.0 \ No newline at end of file diff --git a/updatedrun/1111 b/updatedrun/1111 new file mode 100644 index 00000000..26ee847b --- /dev/null +++ b/updatedrun/1111 @@ -0,0 +1,5 @@ +81 +112 +1.0 +5309068699.70882 +339016000.0 \ No newline at end of file diff --git a/updatedrun/1112 b/updatedrun/1112 new file mode 100644 index 00000000..9ab903bf --- /dev/null +++ b/updatedrun/1112 @@ -0,0 +1,5 @@ +81 +112 +1.5 +5478541051.206975 +508524000.0 \ No newline at end of file diff --git a/updatedrun/1113 b/updatedrun/1113 new file mode 100644 index 00000000..460277ea --- /dev/null +++ b/updatedrun/1113 @@ -0,0 +1,5 @@ +81 +112 +2.0 +5648049051.206975 +678032000.0 \ No newline at end of file diff --git a/updatedrun/1114 b/updatedrun/1114 new file mode 100644 index 00000000..fa9c1f3e --- /dev/null +++ b/updatedrun/1114 @@ -0,0 +1,5 @@ +81 +112 +2.5 +5817557051.206975 +847540000.0 \ No newline at end of file diff --git a/updatedrun/1115 b/updatedrun/1115 new file mode 100644 index 00000000..4aaefbd6 --- /dev/null +++ b/updatedrun/1115 @@ -0,0 +1,5 @@ +81 +112 +3.0 +5987065051.206975 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/1116 b/updatedrun/1116 new file mode 100644 index 00000000..185efea9 --- /dev/null +++ b/updatedrun/1116 @@ -0,0 +1,5 @@ +81 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file mode 100644 index 00000000..148a7a7a --- /dev/null +++ b/updatedrun/1120 @@ -0,0 +1,5 @@ +81 +122 +0.5 +5192797614.331006 +224188000.0 \ No newline at end of file diff --git a/updatedrun/1121 b/updatedrun/1121 new file mode 100644 index 00000000..bad43dd7 --- /dev/null +++ b/updatedrun/1121 @@ -0,0 +1,5 @@ +81 +122 +1.0 +5416319049.170279 +448376000.0 \ No newline at end of file diff --git a/updatedrun/1122 b/updatedrun/1122 new file mode 100644 index 00000000..3b81e0ad --- /dev/null +++ b/updatedrun/1122 @@ -0,0 +1,5 @@ +81 +122 +1.5 +5640475390.088259 +672564000.0 \ No newline at end of file diff --git a/updatedrun/1123 b/updatedrun/1123 new file mode 100644 index 00000000..5287c7a4 --- /dev/null +++ b/updatedrun/1123 @@ -0,0 +1,5 @@ +81 +122 +2.0 +5864663390.088259 +896752000.0 \ No newline at end of file diff --git a/updatedrun/1124 b/updatedrun/1124 new file mode 100644 index 00000000..b977ab75 --- /dev/null +++ b/updatedrun/1124 @@ -0,0 +1,5 @@ +81 +122 +2.5 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mode 100644 index 00000000..27010c22 --- /dev/null +++ b/updatedrun/1129 @@ -0,0 +1,5 @@ +81 +122 +5.0 +7209791390.088259 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/113 b/updatedrun/113 new file mode 100644 index 00000000..17639219 --- /dev/null +++ b/updatedrun/113 @@ -0,0 +1,5 @@ +0 +112 +2.0 +4295177292.548635 +2449664000.0 \ No newline at end of file diff --git a/updatedrun/1130 b/updatedrun/1130 new file mode 100644 index 00000000..dc68f82c --- /dev/null +++ b/updatedrun/1130 @@ -0,0 +1,5 @@ +81 +132 +0.5 +5244054506.666768 +278868000.0 \ No newline at end of file diff --git a/updatedrun/1131 b/updatedrun/1131 new file mode 100644 index 00000000..8d4cb3d7 --- /dev/null +++ b/updatedrun/1131 @@ -0,0 +1,5 @@ +81 +132 +1.0 +5522008028.453655 +557736000.0 \ No newline at end of file diff --git a/updatedrun/1132 b/updatedrun/1132 new file mode 100644 index 00000000..a12908ec --- /dev/null +++ b/updatedrun/1132 @@ -0,0 +1,5 @@ +81 +132 +1.5 +5800858039.315064 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00000000..fd4b8534 --- /dev/null +++ b/updatedrun/1137 @@ -0,0 +1,5 @@ +81 +132 +4.0 +7195198039.315064 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/1138 b/updatedrun/1138 new file mode 100644 index 00000000..610095ac --- /dev/null +++ b/updatedrun/1138 @@ -0,0 +1,5 @@ +81 +132 +4.5 +7474066039.315064 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/1139 b/updatedrun/1139 new file mode 100644 index 00000000..fb840cda --- /dev/null +++ b/updatedrun/1139 @@ -0,0 +1,5 @@ +81 +132 +5.0 +7752934039.315064 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/114 b/updatedrun/114 new file mode 100644 index 00000000..5e414627 --- /dev/null +++ b/updatedrun/114 @@ -0,0 +1,5 @@ +0 +112 +2.5 +4756243184.353578 +3062080000.0 \ No newline at end of file diff --git a/updatedrun/1140 b/updatedrun/1140 new file mode 100644 index 00000000..720fd467 --- /dev/null +++ b/updatedrun/1140 @@ -0,0 +1,5 @@ +81 +142 +0.5 +5244839738.494562 +333548000.0 \ No newline at end of file diff --git a/updatedrun/1141 b/updatedrun/1141 new file mode 100644 index 00000000..c182a0ed --- /dev/null +++ b/updatedrun/1141 @@ -0,0 +1,5 @@ +81 +142 +1.0 +5563687358.111771 +667096000.0 \ No newline at end of file diff --git a/updatedrun/1142 b/updatedrun/1142 new file mode 100644 index 00000000..310fc9ce --- /dev/null +++ b/updatedrun/1142 @@ -0,0 +1,5 @@ +81 +142 +1.5 +5898122429.524421 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/1143 b/updatedrun/1143 new file mode 100644 index 00000000..d0429e52 --- /dev/null +++ b/updatedrun/1143 @@ -0,0 +1,5 @@ +81 +142 +2.0 +6231670429.524421 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/1144 b/updatedrun/1144 new file mode 100644 index 00000000..8897fc83 --- /dev/null +++ b/updatedrun/1144 @@ -0,0 +1,5 @@ +81 +142 +2.5 +6565218429.524421 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/1145 b/updatedrun/1145 new file mode 100644 index 00000000..0fac7a07 --- /dev/null +++ b/updatedrun/1145 @@ -0,0 +1,5 @@ +81 +142 +3.0 +6898766429.524421 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/1146 b/updatedrun/1146 new file mode 100644 index 00000000..d78aee3e --- /dev/null +++ b/updatedrun/1146 @@ -0,0 +1,5 @@ +81 +142 +3.5 +7232314429.524421 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/1147 b/updatedrun/1147 new file mode 100644 index 00000000..94ce65d0 --- /dev/null +++ b/updatedrun/1147 @@ -0,0 +1,5 @@ +81 +142 +4.0 +7565862429.524421 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/1148 b/updatedrun/1148 new file mode 100644 index 00000000..bcaf9ef9 --- /dev/null +++ b/updatedrun/1148 @@ -0,0 +1,5 @@ +81 +142 +4.5 +7899410429.524421 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/1149 b/updatedrun/1149 new file mode 100644 index 00000000..e34148fa --- /dev/null +++ b/updatedrun/1149 @@ -0,0 +1,5 @@ +81 +142 +5.0 +8232958429.524421 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/115 b/updatedrun/115 new file mode 100644 index 00000000..0c7ce65a --- /dev/null +++ b/updatedrun/115 @@ -0,0 +1,5 @@ +0 +112 +3.0 +5316606110.320542 +3674496000.0 \ No newline at end of file diff --git a/updatedrun/1150 b/updatedrun/1150 new file mode 100644 index 00000000..049d42af --- /dev/null +++ b/updatedrun/1150 @@ -0,0 +1,5 @@ +81 +152 +0.5 +5093073649.45177 +388228000.0 \ No newline at end of file diff --git a/updatedrun/1151 b/updatedrun/1151 new file mode 100644 index 00000000..a85dbe46 --- /dev/null +++ b/updatedrun/1151 @@ -0,0 +1,5 @@ +81 +152 +1.0 +5383599235.143959 +776456000.0 \ No newline at end of file diff --git a/updatedrun/1152 b/updatedrun/1152 new file mode 100644 index 00000000..57810926 --- /dev/null +++ b/updatedrun/1152 @@ -0,0 +1,5 @@ +81 +152 +1.5 +5767222796.458316 +1164684000.0 \ No newline at end of file diff --git a/updatedrun/1153 b/updatedrun/1153 new file mode 100644 index 00000000..8e9c71a5 --- /dev/null +++ b/updatedrun/1153 @@ -0,0 +1,5 @@ +81 +152 +2.0 +6155269133.460337 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/1154 b/updatedrun/1154 new file mode 100644 index 00000000..7c9e835a --- /dev/null +++ b/updatedrun/1154 @@ -0,0 +1,5 @@ +81 +152 +2.5 +6543497133.460337 +1941140000.0 \ No newline at end of file diff --git a/updatedrun/1155 b/updatedrun/1155 new file mode 100644 index 00000000..2d2473ef --- /dev/null +++ b/updatedrun/1155 @@ -0,0 +1,5 @@ +81 +152 +3.0 +6931725133.460337 +2329368000.0 \ No newline at end of file diff --git a/updatedrun/1156 b/updatedrun/1156 new file mode 100644 index 00000000..85f68300 --- /dev/null +++ b/updatedrun/1156 @@ -0,0 +1,5 @@ +81 +152 +3.5 +7319953133.460337 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/1157 b/updatedrun/1157 new file mode 100644 index 00000000..58667381 --- /dev/null +++ b/updatedrun/1157 @@ -0,0 +1,5 @@ +81 +152 +4.0 +7708181133.460337 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/1158 b/updatedrun/1158 new file mode 100644 index 00000000..5a79a4e5 --- /dev/null +++ b/updatedrun/1158 @@ -0,0 +1,5 @@ +81 +152 +4.5 +8096409133.460337 +3494052000.0 \ No newline at end of file diff --git a/updatedrun/1159 b/updatedrun/1159 new file mode 100644 index 00000000..0211ea39 --- /dev/null +++ b/updatedrun/1159 @@ -0,0 +1,5 @@ +81 +152 +5.0 +8484637133.460337 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/116 b/updatedrun/116 new file mode 100644 index 00000000..cfc1cd1f --- /dev/null +++ b/updatedrun/116 @@ -0,0 +1,5 @@ +0 +112 +3.5 +5893113307.9981165 +4286912000.0 \ No newline at end of file diff --git a/updatedrun/1160 b/updatedrun/1160 new file mode 100644 index 00000000..66b8b38c --- /dev/null +++ b/updatedrun/1160 @@ -0,0 +1,5 @@ +81 +163 +0.5 +4796183825.220522 +448376000.0 \ No newline at end of file diff --git a/updatedrun/1161 b/updatedrun/1161 new file mode 100644 index 00000000..fa64963b --- /dev/null +++ b/updatedrun/1161 @@ -0,0 +1,5 @@ +81 +163 +1.0 +5060241409.214431 +896752000.0 \ No newline at end of file diff --git a/updatedrun/1162 b/updatedrun/1162 new file mode 100644 index 00000000..8cd1b5c9 --- /dev/null +++ b/updatedrun/1162 @@ -0,0 +1,5 @@ +81 +163 +1.5 +5425636646.075111 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/1163 b/updatedrun/1163 new file mode 100644 index 00000000..93daa01d --- /dev/null +++ b/updatedrun/1163 @@ -0,0 +1,5 @@ +81 +163 +2.0 +5731004752.712829 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/1164 b/updatedrun/1164 new file mode 100644 index 00000000..299ce2f5 --- /dev/null +++ b/updatedrun/1164 @@ -0,0 +1,5 @@ +81 +163 +2.5 +6179380752.712829 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/1165 b/updatedrun/1165 new file mode 100644 index 00000000..3b6cd7a8 --- /dev/null +++ b/updatedrun/1165 @@ -0,0 +1,5 @@ +81 +163 +3.0 +6627756752.712829 +2690256000.0 \ No newline at end of file diff --git a/updatedrun/1166 b/updatedrun/1166 new file mode 100644 index 00000000..618b56b1 --- /dev/null +++ b/updatedrun/1166 @@ -0,0 +1,5 @@ +81 +163 +3.5 +7076132752.712829 +3138632000.0 \ No newline at end of file diff --git a/updatedrun/1167 b/updatedrun/1167 new file mode 100644 index 00000000..fb98ad72 --- /dev/null +++ b/updatedrun/1167 @@ -0,0 +1,5 @@ +81 +163 +4.0 +7524508752.712829 +3587008000.0 \ No newline at end of file diff --git a/updatedrun/1168 b/updatedrun/1168 new file mode 100644 index 00000000..44843cf0 --- /dev/null +++ b/updatedrun/1168 @@ -0,0 +1,5 @@ +81 +163 +4.5 +7972884752.712829 +4035384000.0 \ No newline at end of file diff --git a/updatedrun/1169 b/updatedrun/1169 new file mode 100644 index 00000000..a770e943 --- /dev/null +++ b/updatedrun/1169 @@ -0,0 +1,5 @@ +81 +163 +5.0 +8421260752.712829 +4483760000.0 \ No newline at end of file diff --git a/updatedrun/117 b/updatedrun/117 new file mode 100644 index 00000000..74d1081b --- /dev/null +++ b/updatedrun/117 @@ -0,0 +1,5 @@ +0 +112 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--- /dev/null +++ b/updatedrun/1174 @@ -0,0 +1,5 @@ +91 +91 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1175 b/updatedrun/1175 new file mode 100644 index 00000000..8d144f24 --- /dev/null +++ b/updatedrun/1175 @@ -0,0 +1,5 @@ +91 +91 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1176 b/updatedrun/1176 new file mode 100644 index 00000000..9514ad8a --- /dev/null +++ b/updatedrun/1176 @@ -0,0 +1,5 @@ +91 +91 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1177 b/updatedrun/1177 new file mode 100644 index 00000000..39df5d41 --- /dev/null +++ b/updatedrun/1177 @@ -0,0 +1,5 @@ +91 +91 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1178 b/updatedrun/1178 new file mode 100644 index 00000000..9bf592b9 --- /dev/null +++ b/updatedrun/1178 @@ -0,0 +1,5 @@ +91 +91 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1179 b/updatedrun/1179 new file mode 100644 index 00000000..3dc4fa6b --- /dev/null +++ b/updatedrun/1179 @@ -0,0 +1,5 @@ +91 +91 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/118 b/updatedrun/118 new file mode 100644 index 00000000..ce19426a --- /dev/null +++ b/updatedrun/118 @@ -0,0 +1,5 @@ +0 +112 +4.5 +7117945307.9981165 +5511744000.0 \ No newline at end of file diff --git a/updatedrun/1180 b/updatedrun/1180 new file mode 100644 index 00000000..c0682a8a --- /dev/null +++ b/updatedrun/1180 @@ -0,0 +1,5 @@ +91 +101 +0.5 +5063573598.256708 +54680000.0 \ No newline at end of file diff --git a/updatedrun/1181 b/updatedrun/1181 new file mode 100644 index 00000000..65446e67 --- /dev/null +++ b/updatedrun/1181 @@ -0,0 +1,5 @@ +91 +101 +1.0 +5118253598.256708 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1182 b/updatedrun/1182 new file mode 100644 index 00000000..2790ee9d --- /dev/null +++ b/updatedrun/1182 @@ -0,0 +1,5 @@ +91 +101 +1.5 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100644 index 00000000..9a53d9ad --- /dev/null +++ b/updatedrun/1187 @@ -0,0 +1,5 @@ +91 +101 +4.0 +5446333598.256708 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1188 b/updatedrun/1188 new file mode 100644 index 00000000..3e60845b --- /dev/null +++ b/updatedrun/1188 @@ -0,0 +1,5 @@ +91 +101 +4.5 +5501013598.256708 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1189 b/updatedrun/1189 new file mode 100644 index 00000000..cb1c88be --- /dev/null +++ b/updatedrun/1189 @@ -0,0 +1,5 @@ +91 +101 +5.0 +5555693598.256708 +546800000.0 \ No newline at end of file diff --git a/updatedrun/119 b/updatedrun/119 new file mode 100644 index 00000000..77d9ce10 --- /dev/null +++ b/updatedrun/119 @@ -0,0 +1,5 @@ +0 +112 +5.0 +7730361307.9981165 +6124160000.0 \ No newline at end of file diff --git a/updatedrun/1190 b/updatedrun/1190 new file mode 100644 index 00000000..c4b9bcd5 --- /dev/null +++ b/updatedrun/1190 @@ -0,0 +1,5 @@ +91 +112 +0.5 +5090809080.603281 +114828000.0 \ No newline at end of file diff --git a/updatedrun/1191 b/updatedrun/1191 new file mode 100644 index 00000000..7d715559 --- /dev/null +++ b/updatedrun/1191 @@ -0,0 +1,5 @@ +91 +112 +1.0 +5205577910.439952 +229656000.0 \ No newline at end of file diff --git a/updatedrun/1192 b/updatedrun/1192 new file mode 100644 index 00000000..6824af31 --- /dev/null +++ b/updatedrun/1192 @@ -0,0 +1,5 @@ +91 +112 +1.5 +5320402809.728986 +344484000.0 \ No newline at end of file diff --git a/updatedrun/1193 b/updatedrun/1193 new file mode 100644 index 00000000..809086ec --- /dev/null +++ b/updatedrun/1193 @@ -0,0 +1,5 @@ +91 +112 +2.0 +5435230809.728986 +459312000.0 \ No newline at end of file diff --git a/updatedrun/1194 b/updatedrun/1194 new file mode 100644 index 00000000..a801b264 --- /dev/null +++ b/updatedrun/1194 @@ -0,0 +1,5 @@ +91 +112 +2.5 +5550058809.728986 +574140000.0 \ No newline at end of file diff --git a/updatedrun/1195 b/updatedrun/1195 new file mode 100644 index 00000000..c238adf8 --- /dev/null +++ b/updatedrun/1195 @@ -0,0 +1,5 @@ +91 +112 +3.0 +5664886809.728986 +688968000.0 \ No newline at end of file diff --git a/updatedrun/1196 b/updatedrun/1196 new file mode 100644 index 00000000..37ee11d8 --- /dev/null +++ b/updatedrun/1196 @@ -0,0 +1,5 @@ +91 +112 +3.5 +5779714809.728986 +803796000.0 \ No newline at end of file diff --git a/updatedrun/1197 b/updatedrun/1197 new file mode 100644 index 00000000..3b546912 --- /dev/null +++ b/updatedrun/1197 @@ -0,0 +1,5 @@ +91 +112 +4.0 +5894542809.728986 +918624000.0 \ No newline at end of file diff --git a/updatedrun/1198 b/updatedrun/1198 new file mode 100644 index 00000000..c79c8589 --- /dev/null +++ b/updatedrun/1198 @@ -0,0 +1,5 @@ +91 +112 +4.5 +6009370809.728986 +1033452000.0 \ No newline at end of file diff --git a/updatedrun/1199 b/updatedrun/1199 new file mode 100644 index 00000000..b9090a06 --- /dev/null +++ b/updatedrun/1199 @@ -0,0 +1,5 @@ +91 +112 +5.0 +6124198809.728986 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/12 b/updatedrun/12 new file mode 100644 index 00000000..5e6c9bc1 --- /dev/null +++ b/updatedrun/12 @@ -0,0 +1,5 @@ +0 +10 +1.5 +5111148101.902407 +164040000.0 \ No newline at end of file diff --git a/updatedrun/120 b/updatedrun/120 new file mode 100644 index 00000000..6c101fac --- /dev/null +++ b/updatedrun/120 @@ -0,0 +1,5 @@ +0 +122 +0.5 +5467991651.09729 +667096000.0 \ No newline at end of file diff --git a/updatedrun/1200 b/updatedrun/1200 new file mode 100644 index 00000000..c28ef295 --- /dev/null +++ b/updatedrun/1200 @@ -0,0 +1,5 @@ +91 +122 +0.5 +5143651787.579778 +169508000.0 \ No newline at end of file diff --git a/updatedrun/1201 b/updatedrun/1201 new file mode 100644 index 00000000..2d9ef5da --- /dev/null +++ b/updatedrun/1201 @@ -0,0 +1,5 @@ +91 +122 +1.0 +5313054931.568905 +339016000.0 \ No newline at end of file diff --git a/updatedrun/1202 b/updatedrun/1202 new file mode 100644 index 00000000..6ada5042 --- /dev/null +++ b/updatedrun/1202 @@ -0,0 +1,5 @@ +91 +122 +1.5 +5482536626.813113 +508524000.0 \ No newline at end of file diff --git a/updatedrun/1203 b/updatedrun/1203 new file mode 100644 index 00000000..9ed5d0a3 --- /dev/null +++ b/updatedrun/1203 @@ -0,0 +1,5 @@ +91 +122 +2.0 +5652044626.813113 +678032000.0 \ No newline at end of file diff --git a/updatedrun/1204 b/updatedrun/1204 new file mode 100644 index 00000000..a96d3463 --- /dev/null +++ b/updatedrun/1204 @@ -0,0 +1,5 @@ +91 +122 +2.5 +5821552626.813113 +847540000.0 \ No newline at end of file diff --git a/updatedrun/1205 b/updatedrun/1205 new file mode 100644 index 00000000..bd224bcf --- /dev/null +++ b/updatedrun/1205 @@ -0,0 +1,5 @@ +91 +122 +3.0 +5991060626.813113 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/1206 b/updatedrun/1206 new file mode 100644 index 00000000..9af8075c --- /dev/null +++ b/updatedrun/1206 @@ -0,0 +1,5 @@ +91 +122 +3.5 +6160568626.813113 +1186556000.0 \ No newline at end of file diff --git a/updatedrun/1207 b/updatedrun/1207 new file mode 100644 index 00000000..251c276c --- /dev/null +++ b/updatedrun/1207 @@ -0,0 +1,5 @@ +91 +122 +4.0 +6330076626.813113 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/1208 b/updatedrun/1208 new file mode 100644 index 00000000..360e5bed --- /dev/null +++ b/updatedrun/1208 @@ -0,0 +1,5 @@ +91 +122 +4.5 +6499584626.813113 +1525572000.0 \ No newline at end of file diff --git a/updatedrun/1209 b/updatedrun/1209 new file mode 100644 index 00000000..815884c7 --- /dev/null +++ b/updatedrun/1209 @@ -0,0 +1,5 @@ +91 +122 +5.0 +6669092626.813113 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/121 b/updatedrun/121 new file mode 100644 index 00000000..af7e2b51 --- /dev/null +++ b/updatedrun/121 @@ -0,0 +1,5 @@ +0 +122 +1.0 +5834011994.140029 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/1210 b/updatedrun/1210 new file mode 100644 index 00000000..f4fcd478 --- /dev/null +++ b/updatedrun/1210 @@ -0,0 +1,5 @@ +91 +132 +0.5 +5196567331.361866 +224188000.0 \ No newline at end of file diff --git a/updatedrun/1211 b/updatedrun/1211 new file mode 100644 index 00000000..552b61cd --- /dev/null +++ b/updatedrun/1211 @@ -0,0 +1,5 @@ +91 +132 +1.0 +5420649240.111553 +448376000.0 \ No newline at end of file diff --git a/updatedrun/1212 b/updatedrun/1212 new file mode 100644 index 00000000..9dd48763 --- /dev/null +++ b/updatedrun/1212 @@ -0,0 +1,5 @@ +91 +132 +1.5 +5644835245.274988 +672564000.0 \ No newline at end of file diff --git a/updatedrun/1213 b/updatedrun/1213 new file mode 100644 index 00000000..f1080271 --- /dev/null +++ b/updatedrun/1213 @@ -0,0 +1,5 @@ +91 +132 +2.0 +5869023245.274988 +896752000.0 \ No newline at end of file diff --git a/updatedrun/1214 b/updatedrun/1214 new file mode 100644 index 00000000..fd5bf4eb --- /dev/null +++ b/updatedrun/1214 @@ -0,0 +1,5 @@ +91 +132 +2.5 +6093211245.274988 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/1215 b/updatedrun/1215 new file mode 100644 index 00000000..6e52885c --- /dev/null +++ b/updatedrun/1215 @@ -0,0 +1,5 @@ +91 +132 +3.0 +6317399245.274988 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/1216 b/updatedrun/1216 new file mode 100644 index 00000000..9fc607f1 --- /dev/null +++ b/updatedrun/1216 @@ -0,0 +1,5 @@ +91 +132 +3.5 +6541587245.274988 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/1217 b/updatedrun/1217 new file mode 100644 index 00000000..30e42ecb --- /dev/null +++ b/updatedrun/1217 @@ -0,0 +1,5 @@ +91 +132 +4.0 +6765775245.274988 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/1218 b/updatedrun/1218 new file mode 100644 index 00000000..ddb4f3ed --- /dev/null +++ b/updatedrun/1218 @@ -0,0 +1,5 @@ +91 +132 +4.5 +6989963245.274988 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/1219 b/updatedrun/1219 new file mode 100644 index 00000000..8406f13d --- /dev/null +++ b/updatedrun/1219 @@ -0,0 +1,5 @@ +91 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mode 100644 index 00000000..9c2a3dd9 --- /dev/null +++ b/updatedrun/1223 @@ -0,0 +1,5 @@ +91 +142 +2.0 +6022101250.685597 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/1224 b/updatedrun/1224 new file mode 100644 index 00000000..39329055 --- /dev/null +++ b/updatedrun/1224 @@ -0,0 +1,5 @@ +91 +142 +2.5 +6300969250.685597 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/1225 b/updatedrun/1225 new file mode 100644 index 00000000..de4a1aca --- /dev/null +++ b/updatedrun/1225 @@ -0,0 +1,5 @@ +91 +142 +3.0 +6579837250.685597 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/1226 b/updatedrun/1226 new file mode 100644 index 00000000..4ee4390b --- /dev/null +++ b/updatedrun/1226 @@ -0,0 +1,5 @@ +91 +142 +3.5 +6858705250.685597 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/1227 b/updatedrun/1227 new file mode 100644 index 00000000..6a70a084 --- /dev/null +++ b/updatedrun/1227 @@ -0,0 +1,5 @@ +91 +142 +4.0 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100644 index 00000000..13416475 --- /dev/null +++ b/updatedrun/1231 @@ -0,0 +1,5 @@ +91 +152 +1.0 +5389674137.299443 +667096000.0 \ No newline at end of file diff --git a/updatedrun/1232 b/updatedrun/1232 new file mode 100644 index 00000000..41fcff76 --- /dev/null +++ b/updatedrun/1232 @@ -0,0 +1,5 @@ +91 +152 +1.5 +5722908974.4158 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/1233 b/updatedrun/1233 new file mode 100644 index 00000000..a553a755 --- /dev/null +++ b/updatedrun/1233 @@ -0,0 +1,5 @@ +91 +152 +2.0 +6056432332.949623 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/1234 b/updatedrun/1234 new file mode 100644 index 00000000..897e5fd9 --- /dev/null +++ b/updatedrun/1234 @@ -0,0 +1,5 @@ +91 +152 +2.5 +6389980332.949623 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/1235 b/updatedrun/1235 new file mode 100644 index 00000000..bf555676 --- /dev/null +++ b/updatedrun/1235 @@ -0,0 +1,5 @@ +91 +152 +3.0 +6723528332.949623 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/1236 b/updatedrun/1236 new file mode 100644 index 00000000..da1c201c --- /dev/null +++ b/updatedrun/1236 @@ -0,0 +1,5 @@ +91 +152 +3.5 +7057076332.949623 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/1237 b/updatedrun/1237 new file mode 100644 index 00000000..fcbbc869 --- /dev/null +++ b/updatedrun/1237 @@ -0,0 +1,5 @@ +91 +152 +4.0 +7390624332.949623 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/1238 b/updatedrun/1238 new file mode 100644 index 00000000..cfc34d5c --- /dev/null +++ b/updatedrun/1238 @@ -0,0 +1,5 @@ +91 +152 +4.5 +7724172332.949623 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/1239 b/updatedrun/1239 new file mode 100644 index 00000000..434cdb1b --- /dev/null +++ b/updatedrun/1239 @@ -0,0 +1,5 @@ +91 +152 +5.0 +8057720332.949623 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/124 b/updatedrun/124 new file mode 100644 index 00000000..73bcc98b --- /dev/null +++ b/updatedrun/124 @@ -0,0 +1,5 @@ +0 +122 +2.5 +4800283759.466395 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/1240 b/updatedrun/1240 new file mode 100644 index 00000000..f384be46 --- /dev/null +++ b/updatedrun/1240 @@ -0,0 +1,5 @@ +91 +163 +0.5 +4795047339.835991 +393696000.0 \ No newline at end of file diff --git a/updatedrun/1241 b/updatedrun/1241 new file mode 100644 index 00000000..9bdc7343 --- /dev/null +++ b/updatedrun/1241 @@ -0,0 +1,5 @@ +91 +163 +1.0 +5065667611.465742 +787392000.0 \ No newline at end of file diff --git a/updatedrun/1242 b/updatedrun/1242 new file mode 100644 index 00000000..4333d50b --- /dev/null +++ b/updatedrun/1242 @@ -0,0 +1,5 @@ +91 +163 +1.5 +5380482078.896 +1181088000.0 \ No newline at end of file diff --git a/updatedrun/1243 b/updatedrun/1243 new file mode 100644 index 00000000..a4bf750c --- /dev/null +++ b/updatedrun/1243 @@ -0,0 +1,5 @@ +91 +163 +2.0 +5631177479.669335 +1574784000.0 \ No newline at end of file diff --git a/updatedrun/1244 b/updatedrun/1244 new file mode 100644 index 00000000..6fe9d6da --- /dev/null +++ b/updatedrun/1244 @@ -0,0 +1,5 @@ +91 +163 +2.5 +6024873479.669335 +1968480000.0 \ No newline at end of file diff --git a/updatedrun/1245 b/updatedrun/1245 new file mode 100644 index 00000000..dcd90b5b --- /dev/null +++ b/updatedrun/1245 @@ -0,0 +1,5 @@ +91 +163 +3.0 +6418569479.669335 +2362176000.0 \ No newline at end of file diff --git a/updatedrun/1246 b/updatedrun/1246 new file mode 100644 index 00000000..e2f9b92c --- /dev/null +++ b/updatedrun/1246 @@ -0,0 +1,5 @@ +91 +163 +3.5 +6812265479.669335 +2755872000.0 \ No newline at end of file diff --git a/updatedrun/1247 b/updatedrun/1247 new file mode 100644 index 00000000..37fd79bb --- /dev/null +++ b/updatedrun/1247 @@ -0,0 +1,5 @@ +91 +163 +4.0 +7205961479.669335 +3149568000.0 \ No newline at end of file diff --git a/updatedrun/1248 b/updatedrun/1248 new file mode 100644 index 00000000..0bad79bc --- /dev/null +++ b/updatedrun/1248 @@ -0,0 +1,5 @@ +91 +163 +4.5 +7599657479.669335 +3543264000.0 \ No newline at end of file diff --git a/updatedrun/1249 b/updatedrun/1249 new file mode 100644 index 00000000..4655f618 --- /dev/null +++ b/updatedrun/1249 @@ -0,0 +1,5 @@ +91 +163 +5.0 +7993353479.669335 +3936960000.0 \ No newline at end of file diff --git a/updatedrun/125 b/updatedrun/125 new file mode 100644 index 00000000..1da77cbb --- /dev/null +++ b/updatedrun/125 @@ -0,0 +1,5 @@ +0 +122 +3.0 +5364434502.912863 +4002576000.0 \ No newline at end of file diff --git a/updatedrun/1250 b/updatedrun/1250 new file mode 100644 index 00000000..d9bb6131 --- /dev/null +++ b/updatedrun/1250 @@ -0,0 +1,5 @@ +101 +101 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1251 b/updatedrun/1251 new file mode 100644 index 00000000..ca96ec66 --- /dev/null +++ b/updatedrun/1251 @@ -0,0 +1,5 @@ +101 +101 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1252 b/updatedrun/1252 new file mode 100644 index 00000000..23e7b850 --- /dev/null +++ b/updatedrun/1252 @@ -0,0 +1,5 @@ +101 +101 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1253 b/updatedrun/1253 new file mode 100644 index 00000000..1b80fcf7 --- /dev/null +++ b/updatedrun/1253 @@ -0,0 +1,5 @@ +101 +101 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1254 b/updatedrun/1254 new file mode 100644 index 00000000..fa4c9bb2 --- /dev/null +++ b/updatedrun/1254 @@ -0,0 +1,5 @@ +101 +101 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1255 b/updatedrun/1255 new file mode 100644 index 00000000..445429eb --- /dev/null +++ b/updatedrun/1255 @@ -0,0 +1,5 @@ +101 +101 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1256 b/updatedrun/1256 new file mode 100644 index 00000000..905d3903 --- /dev/null +++ b/updatedrun/1256 @@ -0,0 +1,5 @@ +101 +101 +3.5 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/dev/null +++ b/updatedrun/1260 @@ -0,0 +1,5 @@ +101 +112 +0.5 +5036129080.603281 +60148000.0 \ No newline at end of file diff --git a/updatedrun/1261 b/updatedrun/1261 new file mode 100644 index 00000000..efc9cf7f --- /dev/null +++ b/updatedrun/1261 @@ -0,0 +1,5 @@ +101 +112 +1.0 +5096217910.439952 +120296000.0 \ No newline at end of file diff --git a/updatedrun/1262 b/updatedrun/1262 new file mode 100644 index 00000000..4d8e5142 --- /dev/null +++ b/updatedrun/1262 @@ -0,0 +1,5 @@ +101 +112 +1.5 +5156362809.728986 +180444000.0 \ No newline at end of file diff --git a/updatedrun/1263 b/updatedrun/1263 new file mode 100644 index 00000000..aa2b178b --- /dev/null +++ b/updatedrun/1263 @@ -0,0 +1,5 @@ +101 +112 +2.0 +5216510809.728986 +240592000.0 \ No newline at end of file diff --git a/updatedrun/1264 b/updatedrun/1264 new file mode 100644 index 00000000..bb5e38ab --- /dev/null +++ b/updatedrun/1264 @@ -0,0 +1,5 @@ +101 +112 +2.5 +5276658809.728986 +300740000.0 \ No newline at end of file diff --git a/updatedrun/1265 b/updatedrun/1265 new file mode 100644 index 00000000..da8e7864 --- /dev/null +++ b/updatedrun/1265 @@ -0,0 +1,5 @@ +101 +112 +3.0 +5336806809.728986 +360888000.0 \ No newline at end of file diff --git a/updatedrun/1266 b/updatedrun/1266 new file mode 100644 index 00000000..4b5a90fb --- /dev/null +++ b/updatedrun/1266 @@ -0,0 +1,5 @@ +101 +112 +3.5 +5396954809.728986 +421036000.0 \ No newline at end of file diff --git a/updatedrun/1267 b/updatedrun/1267 new file mode 100644 index 00000000..fde03927 --- /dev/null +++ b/updatedrun/1267 @@ -0,0 +1,5 @@ +101 +112 +4.0 +5457102809.728986 +481184000.0 \ No newline at end of file diff --git a/updatedrun/1268 b/updatedrun/1268 new file mode 100644 index 00000000..814b53a7 --- /dev/null +++ b/updatedrun/1268 @@ -0,0 +1,5 @@ +101 +112 +4.5 +5517250809.728986 +541332000.0 \ No newline at end of file diff --git a/updatedrun/1269 b/updatedrun/1269 new file mode 100644 index 00000000..161ff3d5 --- /dev/null +++ b/updatedrun/1269 @@ -0,0 +1,5 @@ +101 +112 +5.0 +5577398809.728986 +601480000.0 \ No newline at end of file diff --git a/updatedrun/127 b/updatedrun/127 new file mode 100644 index 00000000..56f468ee --- /dev/null +++ b/updatedrun/127 @@ -0,0 +1,5 @@ +0 +122 +4.0 +6542676257.60847 +5336768000.0 \ No newline at end of file diff --git a/updatedrun/1270 b/updatedrun/1270 new file mode 100644 index 00000000..aa577c70 --- /dev/null +++ b/updatedrun/1270 @@ -0,0 +1,5 @@ +101 +122 +0.5 +5088971787.579778 +114828000.0 \ No newline at end of file diff --git a/updatedrun/1271 b/updatedrun/1271 new file mode 100644 index 00000000..73bebd03 --- /dev/null +++ b/updatedrun/1271 @@ -0,0 +1,5 @@ +101 +122 +1.0 +5203694931.568905 +229656000.0 \ No newline at end of file diff --git a/updatedrun/1272 b/updatedrun/1272 new file mode 100644 index 00000000..7b6bda95 --- /dev/null +++ b/updatedrun/1272 @@ -0,0 +1,5 @@ +101 +122 +1.5 +5318496626.813113 +344484000.0 \ No newline at end of file diff --git a/updatedrun/1273 b/updatedrun/1273 new file mode 100644 index 00000000..7bdc871d --- /dev/null +++ b/updatedrun/1273 @@ -0,0 +1,5 @@ +101 +122 +2.0 +5433324626.813113 +459312000.0 \ No newline at end of file diff --git a/updatedrun/1274 b/updatedrun/1274 new file mode 100644 index 00000000..993e86e1 --- /dev/null +++ b/updatedrun/1274 @@ -0,0 +1,5 @@ +101 +122 +2.5 +5548152626.813113 +574140000.0 \ No newline at end of file diff --git a/updatedrun/1275 b/updatedrun/1275 new file mode 100644 index 00000000..4b0c422e --- /dev/null +++ b/updatedrun/1275 @@ -0,0 +1,5 @@ +101 +122 +3.0 +5662980626.813113 +688968000.0 \ No newline at end of file diff --git a/updatedrun/1276 b/updatedrun/1276 new file mode 100644 index 00000000..8983cbbb --- /dev/null +++ b/updatedrun/1276 @@ -0,0 +1,5 @@ +101 +122 +3.5 +5777808626.813113 +803796000.0 \ No newline at end of file diff --git a/updatedrun/1277 b/updatedrun/1277 new file mode 100644 index 00000000..8def6bc8 --- /dev/null +++ b/updatedrun/1277 @@ -0,0 +1,5 @@ +101 +122 +4.0 +5892636626.813113 +918624000.0 \ No newline at end of file diff --git a/updatedrun/1278 b/updatedrun/1278 new file mode 100644 index 00000000..c81019ed --- /dev/null +++ b/updatedrun/1278 @@ -0,0 +1,5 @@ +101 +122 +4.5 +6007464626.813113 +1033452000.0 \ No newline at end of file diff --git a/updatedrun/1279 b/updatedrun/1279 new file mode 100644 index 00000000..a4f55c8c --- /dev/null +++ b/updatedrun/1279 @@ -0,0 +1,5 @@ +101 +122 +5.0 +6122292626.813113 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/128 b/updatedrun/128 new file mode 100644 index 00000000..46e3c95a --- /dev/null +++ b/updatedrun/128 @@ -0,0 +1,5 @@ +0 +122 +4.5 +7209772257.60847 +6003864000.0 \ No newline at end of file diff --git a/updatedrun/1280 b/updatedrun/1280 new file mode 100644 index 00000000..ac9f97ed --- /dev/null +++ b/updatedrun/1280 @@ -0,0 +1,5 @@ +101 +132 +0.5 +5141887331.361866 +169508000.0 \ No newline at end of file diff --git a/updatedrun/1281 b/updatedrun/1281 new file mode 100644 index 00000000..9c42f8f2 --- /dev/null +++ b/updatedrun/1281 @@ -0,0 +1,5 @@ +101 +132 +1.0 +5311289240.111553 +339016000.0 \ No newline at end of file diff --git a/updatedrun/1282 b/updatedrun/1282 new file mode 100644 index 00000000..1e5fd6c8 --- /dev/null +++ b/updatedrun/1282 @@ -0,0 +1,5 @@ +101 +132 +1.5 +5480795245.274988 +508524000.0 \ No newline at end of file diff --git a/updatedrun/1283 b/updatedrun/1283 new file mode 100644 index 00000000..c0a173ea --- /dev/null +++ b/updatedrun/1283 @@ -0,0 +1,5 @@ +101 +132 +2.0 +5650303245.274988 +678032000.0 \ No newline at end of file diff --git a/updatedrun/1284 b/updatedrun/1284 new file mode 100644 index 00000000..f30e7d31 --- /dev/null +++ b/updatedrun/1284 @@ -0,0 +1,5 @@ +101 +132 +2.5 +5819811245.274988 +847540000.0 \ No newline at end of file diff --git a/updatedrun/1285 b/updatedrun/1285 new file mode 100644 index 00000000..31e9de0b --- /dev/null +++ b/updatedrun/1285 @@ -0,0 +1,5 @@ +101 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new file mode 100644 index 00000000..8344c4be --- /dev/null +++ b/updatedrun/129 @@ -0,0 +1,5 @@ +0 +122 +5.0 +7876868257.60847 +6670960000.0 \ No newline at end of file diff --git a/updatedrun/1290 b/updatedrun/1290 new file mode 100644 index 00000000..836079df --- /dev/null +++ b/updatedrun/1290 @@ -0,0 +1,5 @@ +101 +142 +0.5 +5140576660.583708 +224188000.0 \ No newline at end of file diff --git a/updatedrun/1291 b/updatedrun/1291 new file mode 100644 index 00000000..83051880 --- /dev/null +++ b/updatedrun/1291 @@ -0,0 +1,5 @@ +101 +142 +1.0 +5354113900.411766 +448376000.0 \ No newline at end of file diff --git a/updatedrun/1292 b/updatedrun/1292 new file mode 100644 index 00000000..93af15cf --- /dev/null +++ b/updatedrun/1292 @@ -0,0 +1,5 @@ +101 +142 +1.5 +5579193250.685597 +672564000.0 \ No newline at end of file diff --git a/updatedrun/1293 b/updatedrun/1293 new file mode 100644 index 00000000..fa280320 --- /dev/null +++ b/updatedrun/1293 @@ -0,0 +1,5 @@ +101 +142 +2.0 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mode 100644 index 00000000..2c410e88 --- /dev/null +++ b/updatedrun/1298 @@ -0,0 +1,5 @@ +101 +142 +4.5 +6924321250.685597 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/1299 b/updatedrun/1299 new file mode 100644 index 00000000..cb21d7e7 --- /dev/null +++ b/updatedrun/1299 @@ -0,0 +1,5 @@ +101 +142 +5.0 +7148509250.685597 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/13 b/updatedrun/13 new file mode 100644 index 00000000..f860c5d6 --- /dev/null +++ b/updatedrun/13 @@ -0,0 +1,5 @@ +0 +10 +2.0 +5165828101.902407 +218720000.0 \ No newline at end of file diff --git a/updatedrun/130 b/updatedrun/130 new file mode 100644 index 00000000..06c4df22 --- /dev/null +++ b/updatedrun/130 @@ -0,0 +1,5 @@ +0 +132 +0.5 +5519053639.9748335 +721776000.0 \ No newline at end of file diff --git a/updatedrun/1300 b/updatedrun/1300 new file mode 100644 index 00000000..0080581f --- /dev/null +++ b/updatedrun/1300 @@ -0,0 +1,5 @@ +101 +152 +0.5 +5037456050.891918 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00000000..357d3580 --- /dev/null +++ b/updatedrun/1305 @@ -0,0 +1,5 @@ +101 +152 +3.0 +6395467594.754872 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/1306 b/updatedrun/1306 new file mode 100644 index 00000000..f98fc9a3 --- /dev/null +++ b/updatedrun/1306 @@ -0,0 +1,5 @@ +101 +152 +3.5 +6674335594.754872 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/1307 b/updatedrun/1307 new file mode 100644 index 00000000..69576e90 --- /dev/null +++ b/updatedrun/1307 @@ -0,0 +1,5 @@ +101 +152 +4.0 +6953203594.754872 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/1308 b/updatedrun/1308 new file mode 100644 index 00000000..1f375638 --- /dev/null +++ b/updatedrun/1308 @@ -0,0 +1,5 @@ +101 +152 +4.5 +7232071594.754872 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/1309 b/updatedrun/1309 new file mode 100644 index 00000000..4e10d186 --- /dev/null +++ b/updatedrun/1309 @@ -0,0 +1,5 @@ +101 +152 +5.0 +7510939594.754872 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00000000..946aa315 --- /dev/null +++ b/updatedrun/1313 @@ -0,0 +1,5 @@ +101 +163 +2.0 +5412536356.617703 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/1314 b/updatedrun/1314 new file mode 100644 index 00000000..9502297d --- /dev/null +++ b/updatedrun/1314 @@ -0,0 +1,5 @@ +101 +163 +2.5 +5751552356.617703 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/1315 b/updatedrun/1315 new file mode 100644 index 00000000..52462fa3 --- /dev/null +++ b/updatedrun/1315 @@ -0,0 +1,5 @@ +101 +163 +3.0 +6090568356.617703 +2034096000.0 \ No newline at end of file diff --git a/updatedrun/1316 b/updatedrun/1316 new file mode 100644 index 00000000..c6b44cc6 --- /dev/null +++ b/updatedrun/1316 @@ -0,0 +1,5 @@ +101 +163 +3.5 +6429584356.617703 +2373112000.0 \ No newline at end of file diff --git a/updatedrun/1317 b/updatedrun/1317 new file mode 100644 index 00000000..5cb7c89f --- /dev/null +++ b/updatedrun/1317 @@ -0,0 +1,5 @@ +101 +163 +4.0 +6768600356.617703 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00000000..1cb521b8 --- /dev/null +++ b/updatedrun/1321 @@ -0,0 +1,5 @@ +112 +112 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1322 b/updatedrun/1322 new file mode 100644 index 00000000..69610320 --- /dev/null +++ b/updatedrun/1322 @@ -0,0 +1,5 @@ +112 +112 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1323 b/updatedrun/1323 new file mode 100644 index 00000000..de919217 --- /dev/null +++ b/updatedrun/1323 @@ -0,0 +1,5 @@ +112 +112 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1324 b/updatedrun/1324 new file mode 100644 index 00000000..94d5d7cc --- /dev/null +++ b/updatedrun/1324 @@ -0,0 +1,5 @@ +112 +112 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1325 b/updatedrun/1325 new file mode 100644 index 00000000..5ffc269a --- /dev/null +++ b/updatedrun/1325 @@ -0,0 +1,5 @@ +112 +112 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1326 b/updatedrun/1326 new file mode 100644 index 00000000..9348101f --- /dev/null +++ b/updatedrun/1326 @@ -0,0 +1,5 @@ +112 +112 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1327 b/updatedrun/1327 new file mode 100644 index 00000000..e86be109 --- /dev/null +++ b/updatedrun/1327 @@ -0,0 +1,5 @@ +112 +112 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1328 b/updatedrun/1328 new file mode 100644 index 00000000..7905bb8d --- /dev/null +++ b/updatedrun/1328 @@ -0,0 +1,5 @@ +112 +112 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1329 b/updatedrun/1329 new file mode 100644 index 00000000..16262a5f --- /dev/null +++ b/updatedrun/1329 @@ -0,0 +1,5 @@ +112 +112 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/133 b/updatedrun/133 new file mode 100644 index 00000000..c6a1a966 --- /dev/null +++ b/updatedrun/133 @@ -0,0 +1,5 @@ +0 +132 +2.0 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100644 index 00000000..0bd344d3 --- /dev/null +++ b/updatedrun/1334 @@ -0,0 +1,5 @@ +112 +122 +2.5 +5280508976.518945 +273400000.0 \ No newline at end of file diff --git a/updatedrun/1335 b/updatedrun/1335 new file mode 100644 index 00000000..77ff7776 --- /dev/null +++ b/updatedrun/1335 @@ -0,0 +1,5 @@ +112 +122 +3.0 +5335188976.518945 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1336 b/updatedrun/1336 new file mode 100644 index 00000000..6e20f2c7 --- /dev/null +++ b/updatedrun/1336 @@ -0,0 +1,5 @@ +112 +122 +3.5 +5389868976.518945 +382760000.0 \ No newline at end of file diff --git a/updatedrun/1337 b/updatedrun/1337 new file mode 100644 index 00000000..45d883b3 --- /dev/null +++ b/updatedrun/1337 @@ -0,0 +1,5 @@ +112 +122 +4.0 +5444548976.518945 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1338 b/updatedrun/1338 new file mode 100644 index 00000000..2acbe07f --- /dev/null +++ b/updatedrun/1338 @@ -0,0 +1,5 @@ +112 +122 +4.5 +5499228976.518945 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1339 b/updatedrun/1339 new file mode 100644 index 00000000..fc0c0c11 --- /dev/null +++ b/updatedrun/1339 @@ -0,0 +1,5 @@ +112 +122 +5.0 +5553908976.518945 +546800000.0 \ No newline at end of file diff --git a/updatedrun/134 b/updatedrun/134 new file mode 100644 index 00000000..daf0766f --- /dev/null +++ b/updatedrun/134 @@ -0,0 +1,5 @@ +0 +132 +2.5 +5046229560.288625 +3608880000.0 \ No newline at end of file diff --git a/updatedrun/1340 b/updatedrun/1340 new file mode 100644 index 00000000..08b78746 --- /dev/null +++ b/updatedrun/1340 @@ -0,0 +1,5 @@ +112 +132 +0.5 +5114959325.688544 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1341 b/updatedrun/1341 new file mode 100644 index 00000000..c3a4ce4c --- /dev/null +++ b/updatedrun/1341 @@ -0,0 +1,5 @@ +112 +132 +1.0 +5224317560.927901 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1342 b/updatedrun/1342 new file mode 100644 index 00000000..1f237a20 --- /dev/null +++ b/updatedrun/1342 @@ -0,0 +1,5 @@ +112 +132 +1.5 +5333677560.927901 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1343 b/updatedrun/1343 new file mode 100644 index 00000000..9dcf11f0 --- /dev/null +++ b/updatedrun/1343 @@ -0,0 +1,5 @@ +112 +132 +2.0 +5443037560.927901 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1344 b/updatedrun/1344 new file mode 100644 index 00000000..dbb84057 --- /dev/null +++ b/updatedrun/1344 @@ -0,0 +1,5 @@ +112 +132 +2.5 +5552397560.927901 +546800000.0 \ No newline at end of file diff --git a/updatedrun/1345 b/updatedrun/1345 new file mode 100644 index 00000000..b5d2bebc --- /dev/null +++ b/updatedrun/1345 @@ -0,0 +1,5 @@ +112 +132 +3.0 +5661757560.927901 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1346 b/updatedrun/1346 new file mode 100644 index 00000000..a5a84c23 --- /dev/null +++ b/updatedrun/1346 @@ -0,0 +1,5 @@ +112 +132 +3.5 +5771117560.927901 +765520000.0 \ No newline at end of file diff --git a/updatedrun/1347 b/updatedrun/1347 new file mode 100644 index 00000000..984e7ef0 --- /dev/null +++ b/updatedrun/1347 @@ -0,0 +1,5 @@ +112 +132 +4.0 +5880477560.927901 +874880000.0 \ No newline at end of file diff --git a/updatedrun/1348 b/updatedrun/1348 new file mode 100644 index 00000000..59681f4d --- /dev/null +++ b/updatedrun/1348 @@ -0,0 +1,5 @@ +112 +132 +4.5 +5989837560.927901 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1349 b/updatedrun/1349 new file mode 100644 index 00000000..310f0f68 --- /dev/null +++ b/updatedrun/1349 @@ -0,0 +1,5 @@ +112 +132 +5.0 +6099197560.927901 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/135 b/updatedrun/135 new file mode 100644 index 00000000..73fe8f8d --- /dev/null +++ b/updatedrun/135 @@ -0,0 +1,5 @@ +0 +132 +3.0 +5660172613.949216 +4330656000.0 \ No newline at end of file diff --git a/updatedrun/1350 b/updatedrun/1350 new file mode 100644 index 00000000..87e428f2 --- /dev/null +++ b/updatedrun/1350 @@ -0,0 +1,5 @@ +112 +142 +0.5 +5122597836.599116 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1351 b/updatedrun/1351 new file mode 100644 index 00000000..403be578 --- /dev/null +++ b/updatedrun/1351 @@ -0,0 +1,5 @@ +112 +142 +1.0 +5279046304.077799 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1352 b/updatedrun/1352 new file mode 100644 index 00000000..dd79f692 --- /dev/null +++ b/updatedrun/1352 @@ -0,0 +1,5 @@ +112 +142 +1.5 +5443082004.420859 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1353 b/updatedrun/1353 new file mode 100644 index 00000000..20741887 --- /dev/null +++ b/updatedrun/1353 @@ -0,0 +1,5 @@ +112 +142 +2.0 +5607122004.420859 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1354 b/updatedrun/1354 new file mode 100644 index 00000000..1a9e76e7 --- /dev/null +++ b/updatedrun/1354 @@ -0,0 +1,5 @@ +112 +142 +2.5 +5771162004.420859 +820200000.0 \ No newline at end of file diff --git a/updatedrun/1355 b/updatedrun/1355 new file mode 100644 index 00000000..27769635 --- /dev/null +++ b/updatedrun/1355 @@ -0,0 +1,5 @@ +112 +142 +3.0 +5935202004.420859 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1356 b/updatedrun/1356 new file mode 100644 index 00000000..b1e9467f --- /dev/null +++ b/updatedrun/1356 @@ -0,0 +1,5 @@ +112 +142 +3.5 +6099242004.420859 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/1357 b/updatedrun/1357 new file mode 100644 index 00000000..14a9b044 --- /dev/null +++ b/updatedrun/1357 @@ -0,0 +1,5 @@ +112 +142 +4.0 +6263282004.420859 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/1358 b/updatedrun/1358 new file mode 100644 index 00000000..0db2d07d --- /dev/null +++ b/updatedrun/1358 @@ -0,0 +1,5 @@ +112 +142 +4.5 +6427322004.420859 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/1359 b/updatedrun/1359 new file mode 100644 index 00000000..ee7131d1 --- /dev/null +++ b/updatedrun/1359 @@ -0,0 +1,5 @@ +112 +142 +5.0 +6591362004.420859 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/136 b/updatedrun/136 new file mode 100644 index 00000000..c33e7fd4 --- /dev/null +++ b/updatedrun/136 @@ -0,0 +1,5 @@ +0 +132 +3.5 +6225429883.125265 +5052432000.0 \ No newline at end of file diff --git a/updatedrun/1360 b/updatedrun/1360 new file mode 100644 index 00000000..772fe3c4 --- /dev/null +++ b/updatedrun/1360 @@ -0,0 +1,5 @@ +112 +152 +0.5 +5043768340.345997 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1361 b/updatedrun/1361 new file mode 100644 index 00000000..a90790e9 --- /dev/null +++ b/updatedrun/1361 @@ -0,0 +1,5 @@ +112 +152 +1.0 +5232494210.125629 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1362 b/updatedrun/1362 new file mode 100644 index 00000000..619c1794 --- /dev/null +++ b/updatedrun/1362 @@ -0,0 +1,5 @@ +112 +152 +1.5 +5451091872.162485 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1363 b/updatedrun/1363 new file mode 100644 index 00000000..78b50b23 --- /dev/null +++ b/updatedrun/1363 @@ -0,0 +1,5 @@ +112 +152 +2.0 +5669811872.162485 +874880000.0 \ No newline at end of file diff --git a/updatedrun/1364 b/updatedrun/1364 new file mode 100644 index 00000000..b1f57274 --- /dev/null +++ b/updatedrun/1364 @@ -0,0 +1,5 @@ +112 +152 +2.5 +5888531872.162485 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/1365 b/updatedrun/1365 new file mode 100644 index 00000000..5184ea12 --- /dev/null +++ b/updatedrun/1365 @@ -0,0 +1,5 @@ +112 +152 +3.0 +6107251872.162485 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/1366 b/updatedrun/1366 new file mode 100644 index 00000000..cd038ffe --- /dev/null +++ b/updatedrun/1366 @@ -0,0 +1,5 @@ +112 +152 +3.5 +6325971872.162485 +1531040000.0 \ No newline at end of file diff --git a/updatedrun/1367 b/updatedrun/1367 new file mode 100644 index 00000000..2b33378f --- /dev/null +++ b/updatedrun/1367 @@ -0,0 +1,5 @@ +112 +152 +4.0 +6544691872.162485 +1749760000.0 \ No newline at end of file diff --git a/updatedrun/1368 b/updatedrun/1368 new file mode 100644 index 00000000..938e3bcf --- /dev/null +++ b/updatedrun/1368 @@ -0,0 +1,5 @@ +112 +152 +4.5 +6763411872.162485 +1968480000.0 \ No newline at end of file diff --git a/updatedrun/1369 b/updatedrun/1369 new file mode 100644 index 00000000..e78cfe23 --- /dev/null +++ b/updatedrun/1369 @@ -0,0 +1,5 @@ +112 +152 +5.0 +6982131872.162485 +2187200000.0 \ No newline at end of file diff --git a/updatedrun/137 b/updatedrun/137 new file mode 100644 index 00000000..85d79bcd --- /dev/null +++ b/updatedrun/137 @@ -0,0 +1,5 @@ +0 +132 +4.0 +6947205883.125265 +5774208000.0 \ No newline at end of file diff --git a/updatedrun/1370 b/updatedrun/1370 new file mode 100644 index 00000000..4a9b7312 --- /dev/null +++ b/updatedrun/1370 @@ -0,0 +1,5 @@ +112 +163 +0.5 +4791911208.152967 +278868000.0 \ No newline at end of file diff --git a/updatedrun/1371 b/updatedrun/1371 new file mode 100644 index 00000000..73641ea1 --- /dev/null +++ b/updatedrun/1371 @@ -0,0 +1,5 @@ +112 +163 +1.0 +4995881389.30729 +557736000.0 \ No newline at end of file diff --git a/updatedrun/1372 b/updatedrun/1372 new file mode 100644 index 00000000..dfce7de8 --- /dev/null +++ b/updatedrun/1372 @@ -0,0 +1,5 @@ +112 +163 +1.5 +5204787902.365914 +836604000.0 \ No newline at end of file diff --git a/updatedrun/1373 b/updatedrun/1373 new file mode 100644 index 00000000..5c53c4a5 --- /dev/null +++ b/updatedrun/1373 @@ -0,0 +1,5 @@ +112 +163 +2.0 +5342239086.051164 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/1374 b/updatedrun/1374 new file mode 100644 index 00000000..c5fcd1da --- /dev/null +++ b/updatedrun/1374 @@ -0,0 +1,5 @@ +112 +163 +2.5 +5621107086.051164 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/1375 b/updatedrun/1375 new file mode 100644 index 00000000..d11e4a5e --- /dev/null +++ b/updatedrun/1375 @@ -0,0 +1,5 @@ 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b/updatedrun/138 new file mode 100644 index 00000000..115ac625 --- /dev/null +++ b/updatedrun/138 @@ -0,0 +1,5 @@ +0 +132 +4.5 +7668981883.125265 +6495984000.0 \ No newline at end of file diff --git a/updatedrun/1380 b/updatedrun/1380 new file mode 100644 index 00000000..8b8f5aa8 --- /dev/null +++ b/updatedrun/1380 @@ -0,0 +1,5 @@ +122 +122 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1381 b/updatedrun/1381 new file mode 100644 index 00000000..167b833a --- /dev/null +++ b/updatedrun/1381 @@ -0,0 +1,5 @@ +122 +122 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1382 b/updatedrun/1382 new file mode 100644 index 00000000..f300cc79 --- /dev/null +++ b/updatedrun/1382 @@ -0,0 +1,5 @@ +122 +122 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1383 b/updatedrun/1383 new file mode 100644 index 00000000..c119d26d --- /dev/null +++ b/updatedrun/1383 @@ -0,0 +1,5 @@ +122 +122 +2.0 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/dev/null +++ b/updatedrun/1388 @@ -0,0 +1,5 @@ +122 +122 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1389 b/updatedrun/1389 new file mode 100644 index 00000000..5f8d9463 --- /dev/null +++ b/updatedrun/1389 @@ -0,0 +1,5 @@ +122 +122 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/139 b/updatedrun/139 new file mode 100644 index 00000000..365dab66 --- /dev/null +++ b/updatedrun/139 @@ -0,0 +1,5 @@ +0 +132 +5.0 +8390757883.125265 +7217760000.0 \ No newline at end of file diff --git a/updatedrun/1390 b/updatedrun/1390 new file mode 100644 index 00000000..695f136a --- /dev/null +++ b/updatedrun/1390 @@ -0,0 +1,5 @@ +122 +132 +0.5 +5061895100.817261 +54680000.0 \ No newline at end of file diff --git a/updatedrun/1391 b/updatedrun/1391 new file mode 100644 index 00000000..c369f857 --- /dev/null +++ b/updatedrun/1391 @@ -0,0 +1,5 @@ +122 +132 +1.0 +5116575100.817261 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1392 b/updatedrun/1392 new file mode 100644 index 00000000..13d25c67 --- /dev/null +++ b/updatedrun/1392 @@ -0,0 +1,5 @@ +122 +132 +1.5 +5171255100.817261 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1393 b/updatedrun/1393 new file mode 100644 index 00000000..4674fe81 --- /dev/null +++ b/updatedrun/1393 @@ -0,0 +1,5 @@ +122 +132 +2.0 +5225935100.817261 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1394 b/updatedrun/1394 new file mode 100644 index 00000000..630a5a2c --- /dev/null +++ b/updatedrun/1394 @@ -0,0 +1,5 @@ +122 +132 +2.5 +5280615100.817261 +273400000.0 \ No newline at end of file diff --git a/updatedrun/1395 b/updatedrun/1395 new file mode 100644 index 00000000..e7136492 --- /dev/null +++ b/updatedrun/1395 @@ -0,0 +1,5 @@ +122 +132 +3.0 +5335295100.817261 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1396 b/updatedrun/1396 new file mode 100644 index 00000000..ddf21f31 --- /dev/null +++ b/updatedrun/1396 @@ -0,0 +1,5 @@ +122 +132 +3.5 +5389975100.817261 +382760000.0 \ No newline at end of file diff --git a/updatedrun/1397 b/updatedrun/1397 new file mode 100644 index 00000000..507b176e --- /dev/null +++ b/updatedrun/1397 @@ -0,0 +1,5 @@ +122 +132 +4.0 +5444655100.817261 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1398 b/updatedrun/1398 new file mode 100644 index 00000000..cca89dbd --- /dev/null +++ b/updatedrun/1398 @@ -0,0 +1,5 @@ +122 +132 +4.5 +5499335100.817261 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1399 b/updatedrun/1399 new file mode 100644 index 00000000..104596b9 --- /dev/null +++ b/updatedrun/1399 @@ -0,0 +1,5 @@ +122 +132 +5.0 +5554015100.817261 +546800000.0 \ No newline at end of file diff --git a/updatedrun/14 b/updatedrun/14 new file mode 100644 index 00000000..8a25dcc6 --- /dev/null +++ b/updatedrun/14 @@ -0,0 +1,5 @@ +0 +10 +2.5 +5220508101.902407 +273400000.0 \ No newline at end of file diff --git a/updatedrun/140 b/updatedrun/140 new file mode 100644 index 00000000..fcc87b9e --- /dev/null +++ b/updatedrun/140 @@ -0,0 +1,5 @@ +0 +142 +0.5 +5519290923.064858 +776456000.0 \ No newline at end of file diff --git a/updatedrun/1400 b/updatedrun/1400 new file mode 100644 index 00000000..3f6b1820 --- /dev/null +++ b/updatedrun/1400 @@ -0,0 +1,5 @@ +122 +142 +0.5 +5074815021.672223 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1401 b/updatedrun/1401 new file mode 100644 index 00000000..a6505df3 --- /dev/null +++ b/updatedrun/1401 @@ -0,0 +1,5 @@ +122 +142 +1.0 +5177052644.318231 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1402 b/updatedrun/1402 new file mode 100644 index 00000000..2eed5d5d --- /dev/null +++ b/updatedrun/1402 @@ -0,0 +1,5 @@ +122 +142 +1.5 +5286410624.763865 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1403 b/updatedrun/1403 new file mode 100644 index 00000000..55a46556 --- /dev/null +++ b/updatedrun/1403 @@ -0,0 +1,5 @@ +122 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file mode 100644 index 00000000..75a3cfbd --- /dev/null +++ b/updatedrun/1408 @@ -0,0 +1,5 @@ +122 +142 +4.5 +5942570624.763865 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1409 b/updatedrun/1409 new file mode 100644 index 00000000..25430167 --- /dev/null +++ b/updatedrun/1409 @@ -0,0 +1,5 @@ +122 +142 +5.0 +6051930624.763865 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/141 b/updatedrun/141 new file mode 100644 index 00000000..36ae4369 --- /dev/null +++ b/updatedrun/141 @@ -0,0 +1,5 @@ +0 +142 +1.0 +5976349341.824379 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/1410 b/updatedrun/1410 new file mode 100644 index 00000000..315b3f9e --- /dev/null +++ b/updatedrun/1410 @@ -0,0 +1,5 @@ +122 +152 +0.5 +4999914164.766042 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1411 b/updatedrun/1411 new file mode 100644 index 00000000..0c2e3311 --- /dev/null +++ b/updatedrun/1411 @@ -0,0 +1,5 @@ +122 +152 +1.0 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100644 index 00000000..553a6241 --- /dev/null +++ b/updatedrun/1416 @@ -0,0 +1,5 @@ +122 +152 +3.5 +5953710533.644974 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/1417 b/updatedrun/1417 new file mode 100644 index 00000000..2fdcdc1f --- /dev/null +++ b/updatedrun/1417 @@ -0,0 +1,5 @@ +122 +152 +4.0 +6117750533.644974 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/1418 b/updatedrun/1418 new file mode 100644 index 00000000..4d39d994 --- /dev/null +++ b/updatedrun/1418 @@ -0,0 +1,5 @@ +122 +152 +4.5 +6281790533.644974 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/1419 b/updatedrun/1419 new file mode 100644 index 00000000..ce4c78a7 --- /dev/null +++ b/updatedrun/1419 @@ -0,0 +1,5 @@ +122 +152 +5.0 +6445830533.644974 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/142 b/updatedrun/142 new file mode 100644 index 00000000..075346df --- /dev/null +++ b/updatedrun/142 @@ -0,0 +1,5 @@ +0 +142 +1.5 +5961411486.565002 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00000000..75d7287e --- /dev/null +++ b/updatedrun/1424 @@ -0,0 +1,5 @@ +122 +163 +2.5 +5413475011.756421 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/1425 b/updatedrun/1425 new file mode 100644 index 00000000..1c7b20e4 --- /dev/null +++ b/updatedrun/1425 @@ -0,0 +1,5 @@ +122 +163 +3.0 +5637663011.756421 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/1426 b/updatedrun/1426 new file mode 100644 index 00000000..6572d425 --- /dev/null +++ b/updatedrun/1426 @@ -0,0 +1,5 @@ +122 +163 +3.5 +5861851011.756421 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/1427 b/updatedrun/1427 new file mode 100644 index 00000000..8ffdbac2 --- /dev/null +++ b/updatedrun/1427 @@ -0,0 +1,5 @@ +122 +163 +4.0 +6086039011.756421 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/1428 b/updatedrun/1428 new file mode 100644 index 00000000..aa1d9bd8 --- /dev/null +++ b/updatedrun/1428 @@ -0,0 +1,5 @@ +122 +163 +4.5 +6310227011.756421 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/dev/null +++ b/updatedrun/1432 @@ -0,0 +1,5 @@ +132 +132 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1433 b/updatedrun/1433 new file mode 100644 index 00000000..952d1330 --- /dev/null +++ b/updatedrun/1433 @@ -0,0 +1,5 @@ +132 +132 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1434 b/updatedrun/1434 new file mode 100644 index 00000000..e3827956 --- /dev/null +++ b/updatedrun/1434 @@ -0,0 +1,5 @@ +132 +132 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1435 b/updatedrun/1435 new file mode 100644 index 00000000..157d1891 --- /dev/null +++ b/updatedrun/1435 @@ -0,0 +1,5 @@ +132 +132 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1436 b/updatedrun/1436 new file mode 100644 index 00000000..790ed5ad --- /dev/null +++ b/updatedrun/1436 @@ -0,0 +1,5 @@ +132 +132 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1437 b/updatedrun/1437 new file mode 100644 index 00000000..01a63d33 --- /dev/null +++ b/updatedrun/1437 @@ -0,0 +1,5 @@ +132 +132 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1438 b/updatedrun/1438 new file mode 100644 index 00000000..e28a194f --- /dev/null +++ b/updatedrun/1438 @@ -0,0 +1,5 @@ +132 +132 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1439 b/updatedrun/1439 new file mode 100644 index 00000000..66ae53df --- /dev/null +++ b/updatedrun/1439 @@ -0,0 +1,5 @@ +132 +132 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/144 b/updatedrun/144 new file mode 100644 index 00000000..7e6ef356 --- /dev/null +++ b/updatedrun/144 @@ -0,0 +1,5 @@ +0 +142 +2.5 +5213364993.332843 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/1440 b/updatedrun/1440 new file mode 100644 index 00000000..74cf9b98 --- /dev/null +++ b/updatedrun/1440 @@ -0,0 +1,5 @@ +132 +142 +0.5 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100644 index 00000000..ab4c477d --- /dev/null +++ b/updatedrun/1445 @@ -0,0 +1,5 @@ +132 +142 +3.0 +5290335682.91055 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1446 b/updatedrun/1446 new file mode 100644 index 00000000..5b3cbbcc --- /dev/null +++ b/updatedrun/1446 @@ -0,0 +1,5 @@ +132 +142 +3.5 +5345015682.91055 +382760000.0 \ No newline at end of file diff --git a/updatedrun/1447 b/updatedrun/1447 new file mode 100644 index 00000000..88fd1eb8 --- /dev/null +++ b/updatedrun/1447 @@ -0,0 +1,5 @@ +132 +142 +4.0 +5399695682.91055 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1448 b/updatedrun/1448 new file mode 100644 index 00000000..88feb22e --- /dev/null +++ b/updatedrun/1448 @@ -0,0 +1,5 @@ +132 +142 +4.5 +5454375682.91055 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1449 b/updatedrun/1449 new file mode 100644 index 00000000..02813cd9 --- /dev/null +++ b/updatedrun/1449 @@ -0,0 +1,5 @@ +132 +142 +5.0 +5509055682.91055 +546800000.0 \ No newline at end of file diff --git a/updatedrun/145 b/updatedrun/145 new file mode 100644 index 00000000..e9fd27cc --- /dev/null +++ b/updatedrun/145 @@ -0,0 +1,5 @@ +0 +142 +3.0 +5886557324.33088 +4658736000.0 \ No newline at end of file diff --git a/updatedrun/1450 b/updatedrun/1450 new file mode 100644 index 00000000..4d011abc --- /dev/null +++ b/updatedrun/1450 @@ -0,0 +1,5 @@ +132 +152 +0.5 +4952435628.231251 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1451 b/updatedrun/1451 new file mode 100644 index 00000000..fa4e956a --- /dev/null +++ b/updatedrun/1451 @@ -0,0 +1,5 @@ +132 +152 +1.0 +5032762849.407409 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1452 b/updatedrun/1452 new file mode 100644 index 00000000..e82a9b33 --- /dev/null +++ b/updatedrun/1452 @@ -0,0 +1,5 @@ +132 +152 +1.5 +5142096030.746403 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1453 b/updatedrun/1453 new file mode 100644 index 00000000..78149d8a --- /dev/null +++ b/updatedrun/1453 @@ -0,0 +1,5 @@ +132 +152 +2.0 +5251456030.746403 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1454 b/updatedrun/1454 new file mode 100644 index 00000000..d3133107 --- /dev/null +++ b/updatedrun/1454 @@ -0,0 +1,5 @@ +132 +152 +2.5 +5360816030.746403 +546800000.0 \ No newline at end of file diff --git a/updatedrun/1455 b/updatedrun/1455 new file mode 100644 index 00000000..dae31884 --- /dev/null +++ b/updatedrun/1455 @@ -0,0 +1,5 @@ +132 +152 +3.0 +5470176030.746403 +656160000.0 \ No newline at end of file diff --git a/updatedrun/1456 b/updatedrun/1456 new file mode 100644 index 00000000..426a9751 --- /dev/null +++ b/updatedrun/1456 @@ -0,0 +1,5 @@ +132 +152 +3.5 +5579536030.746403 +765520000.0 \ No newline at end of file diff --git a/updatedrun/1457 b/updatedrun/1457 new file mode 100644 index 00000000..4d97613e --- /dev/null +++ b/updatedrun/1457 @@ -0,0 +1,5 @@ +132 +152 +4.0 +5688896030.746403 +874880000.0 \ No newline at end of file diff --git a/updatedrun/1458 b/updatedrun/1458 new file mode 100644 index 00000000..a095f021 --- /dev/null +++ b/updatedrun/1458 @@ -0,0 +1,5 @@ +132 +152 +4.5 +5798256030.746403 +984240000.0 \ No newline at end of file diff --git a/updatedrun/1459 b/updatedrun/1459 new file mode 100644 index 00000000..c88c0db0 --- /dev/null +++ b/updatedrun/1459 @@ -0,0 +1,5 @@ +132 +152 +5.0 +5907616030.746403 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/146 b/updatedrun/146 new file mode 100644 index 00000000..91def998 --- /dev/null +++ b/updatedrun/146 @@ -0,0 +1,5 @@ +0 +142 +3.5 +6501838903.228818 +5435192000.0 \ No newline at end of file diff --git a/updatedrun/1460 b/updatedrun/1460 new file mode 100644 index 00000000..53076ed5 --- /dev/null +++ b/updatedrun/1460 @@ -0,0 +1,5 @@ +132 +163 +0.5 +4717972033.376366 +169508000.0 \ No newline at end of file diff --git a/updatedrun/1461 b/updatedrun/1461 new file mode 100644 index 00000000..c40424bf --- /dev/null +++ b/updatedrun/1461 @@ -0,0 +1,5 @@ +132 +163 +1.0 +4831739422.935706 +339016000.0 \ No newline at end of file diff --git a/updatedrun/1462 b/updatedrun/1462 new file mode 100644 index 00000000..339ba4fc --- /dev/null +++ b/updatedrun/1462 @@ -0,0 +1,5 @@ +132 +163 +1.5 +4965380982.46045 +508524000.0 \ No newline at end of file diff --git a/updatedrun/1463 b/updatedrun/1463 new file mode 100644 index 00000000..23eaf719 --- /dev/null +++ b/updatedrun/1463 @@ -0,0 +1,5 @@ +132 +163 +2.0 +5015960973.818855 +678032000.0 \ No newline at end of file diff --git a/updatedrun/1464 b/updatedrun/1464 new file mode 100644 index 00000000..4db119cd --- /dev/null +++ b/updatedrun/1464 @@ -0,0 +1,5 @@ +132 +163 +2.5 +5185468973.818855 +847540000.0 \ No newline at end of file diff --git a/updatedrun/1465 b/updatedrun/1465 new file mode 100644 index 00000000..48b90c48 --- /dev/null +++ b/updatedrun/1465 @@ -0,0 +1,5 @@ +132 +163 +3.0 +5354976973.818855 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/1466 b/updatedrun/1466 new file mode 100644 index 00000000..d7aceba8 --- /dev/null +++ b/updatedrun/1466 @@ -0,0 +1,5 @@ +132 +163 +3.5 +5524484973.818855 +1186556000.0 \ No newline at end of file diff --git a/updatedrun/1467 b/updatedrun/1467 new file mode 100644 index 00000000..9ea7d10d --- /dev/null +++ b/updatedrun/1467 @@ -0,0 +1,5 @@ +132 +163 +4.0 +5693992973.818855 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/1468 b/updatedrun/1468 new file mode 100644 index 00000000..bfddce86 --- /dev/null +++ b/updatedrun/1468 @@ -0,0 +1,5 @@ +132 +163 +4.5 +5863500973.818855 +1525572000.0 \ No newline at end of file diff --git a/updatedrun/1469 b/updatedrun/1469 new file mode 100644 index 00000000..16b1834f --- /dev/null +++ b/updatedrun/1469 @@ -0,0 +1,5 @@ +132 +163 +5.0 +6033008973.818855 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/147 b/updatedrun/147 new file mode 100644 index 00000000..552877e9 --- /dev/null +++ b/updatedrun/147 @@ -0,0 +1,5 @@ +0 +142 +4.0 +7278294903.228818 +6211648000.0 \ No newline at end of file diff --git a/updatedrun/1470 b/updatedrun/1470 new file mode 100644 index 00000000..3ea9226e --- /dev/null +++ b/updatedrun/1470 @@ -0,0 +1,5 @@ +142 +142 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1471 b/updatedrun/1471 new file mode 100644 index 00000000..8d4f8d1b --- /dev/null +++ b/updatedrun/1471 @@ -0,0 +1,5 @@ +142 +142 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1472 b/updatedrun/1472 new file mode 100644 index 00000000..f1bce0f8 --- /dev/null +++ b/updatedrun/1472 @@ -0,0 +1,5 @@ +142 +142 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1473 b/updatedrun/1473 new file mode 100644 index 00000000..9d3ea320 --- /dev/null +++ b/updatedrun/1473 @@ -0,0 +1,5 @@ +142 +142 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1474 b/updatedrun/1474 new file mode 100644 index 00000000..3ef68e2f --- /dev/null +++ b/updatedrun/1474 @@ -0,0 +1,5 @@ +142 +142 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1475 b/updatedrun/1475 new file mode 100644 index 00000000..80e52ad9 --- /dev/null +++ b/updatedrun/1475 @@ -0,0 +1,5 @@ +142 +142 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1476 b/updatedrun/1476 new file mode 100644 index 00000000..3abace68 --- /dev/null +++ b/updatedrun/1476 @@ -0,0 +1,5 @@ +142 +142 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1477 b/updatedrun/1477 new file mode 100644 index 00000000..e62e9f46 --- /dev/null +++ b/updatedrun/1477 @@ -0,0 +1,5 @@ +142 +142 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1478 b/updatedrun/1478 new file mode 100644 index 00000000..d575fd40 --- /dev/null +++ b/updatedrun/1478 @@ -0,0 +1,5 @@ +142 +142 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1479 b/updatedrun/1479 new file mode 100644 index 00000000..73abbc2a --- /dev/null +++ b/updatedrun/1479 @@ -0,0 +1,5 @@ +142 +142 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/148 b/updatedrun/148 new file mode 100644 index 00000000..7fafef68 --- /dev/null +++ b/updatedrun/148 @@ -0,0 +1,5 @@ +0 +142 +4.5 +8054750903.228818 +6988104000.0 \ No newline at end of file diff --git a/updatedrun/1480 b/updatedrun/1480 new file mode 100644 index 00000000..bc2f4998 --- /dev/null +++ b/updatedrun/1480 @@ -0,0 +1,5 @@ +142 +152 +0.5 +5009770399.245544 +54680000.0 \ No newline at end of file diff --git a/updatedrun/1481 b/updatedrun/1481 new file mode 100644 index 00000000..5e046309 --- /dev/null +++ b/updatedrun/1481 @@ -0,0 +1,5 @@ +142 +152 +1.0 +5055746443.5806055 +109360000.0 \ No newline at end of file diff --git a/updatedrun/1482 b/updatedrun/1482 new file mode 100644 index 00000000..b3fddbc7 --- /dev/null +++ b/updatedrun/1482 @@ -0,0 +1,5 @@ +142 +152 +1.5 +5110426443.5806055 +164040000.0 \ No newline at end of file diff --git a/updatedrun/1483 b/updatedrun/1483 new file mode 100644 index 00000000..5312c049 --- /dev/null +++ b/updatedrun/1483 @@ -0,0 +1,5 @@ +142 +152 +2.0 +5165106443.5806055 +218720000.0 \ No newline at end of file diff --git a/updatedrun/1484 b/updatedrun/1484 new file mode 100644 index 00000000..09be27ce --- /dev/null +++ b/updatedrun/1484 @@ -0,0 +1,5 @@ +142 +152 +2.5 +5219786443.5806055 +273400000.0 \ No newline at end of file diff --git a/updatedrun/1485 b/updatedrun/1485 new file mode 100644 index 00000000..0ed63da9 --- /dev/null +++ b/updatedrun/1485 @@ -0,0 +1,5 @@ +142 +152 +3.0 +5274466443.5806055 +328080000.0 \ No newline at end of file diff --git a/updatedrun/1486 b/updatedrun/1486 new file mode 100644 index 00000000..f68c114b --- /dev/null +++ b/updatedrun/1486 @@ -0,0 +1,5 @@ +142 +152 +3.5 +5329146443.5806055 +382760000.0 \ No newline at end of file diff --git a/updatedrun/1487 b/updatedrun/1487 new file mode 100644 index 00000000..f54d583a --- /dev/null +++ b/updatedrun/1487 @@ -0,0 +1,5 @@ +142 +152 +4.0 +5383826443.5806055 +437440000.0 \ No newline at end of file diff --git a/updatedrun/1488 b/updatedrun/1488 new file mode 100644 index 00000000..72c475f8 --- /dev/null +++ b/updatedrun/1488 @@ -0,0 +1,5 @@ +142 +152 +4.5 +5438506443.5806055 +492120000.0 \ No newline at end of file diff --git a/updatedrun/1489 b/updatedrun/1489 new file mode 100644 index 00000000..2902c66d --- /dev/null +++ b/updatedrun/1489 @@ -0,0 +1,5 @@ +142 +152 +5.0 +5493186443.5806055 +546800000.0 \ No newline at end of file diff --git a/updatedrun/149 b/updatedrun/149 new file mode 100644 index 00000000..0f64e28a --- /dev/null +++ b/updatedrun/149 @@ -0,0 +1,5 @@ +0 +142 +5.0 +8831206903.228817 +7764560000.0 \ No newline at end of file diff --git a/updatedrun/1490 b/updatedrun/1490 new file mode 100644 index 00000000..002f6dfe --- /dev/null +++ b/updatedrun/1490 @@ -0,0 +1,5 @@ +142 +163 +0.5 +4766301623.665718 +114828000.0 \ No newline at end of file diff --git a/updatedrun/1491 b/updatedrun/1491 new file mode 100644 index 00000000..5d45f7c6 --- /dev/null +++ b/updatedrun/1491 @@ -0,0 +1,5 @@ +142 +163 +1.0 +4857959461.724747 +229656000.0 \ No newline at end of file diff --git a/updatedrun/1492 b/updatedrun/1492 new file mode 100644 index 00000000..1def72d2 --- /dev/null +++ b/updatedrun/1492 @@ -0,0 +1,5 @@ +142 +163 +1.5 +4966698963.873992 +344484000.0 \ No newline at end of file diff --git a/updatedrun/1493 b/updatedrun/1493 new file mode 100644 index 00000000..e5932f7b --- /dev/null +++ b/updatedrun/1493 @@ -0,0 +1,5 @@ +142 +163 +2.0 +5081278287.437765 +459312000.0 \ No newline at end of file diff --git a/updatedrun/1494 b/updatedrun/1494 new file mode 100644 index 00000000..a780f355 --- /dev/null +++ b/updatedrun/1494 @@ -0,0 +1,5 @@ +142 +163 +2.5 +5196106287.437765 +574140000.0 \ No newline at end of file diff --git a/updatedrun/1495 b/updatedrun/1495 new file mode 100644 index 00000000..b9e94343 --- /dev/null +++ b/updatedrun/1495 @@ -0,0 +1,5 @@ +142 +163 +3.0 +5310934287.437765 +688968000.0 \ No newline at end of file diff --git a/updatedrun/1496 b/updatedrun/1496 new file mode 100644 index 00000000..83374d03 --- /dev/null +++ b/updatedrun/1496 @@ -0,0 +1,5 @@ +142 +163 +3.5 +5425762287.437765 +803796000.0 \ No newline at end of file diff --git a/updatedrun/1497 b/updatedrun/1497 new file mode 100644 index 00000000..6410c1f6 --- /dev/null +++ b/updatedrun/1497 @@ -0,0 +1,5 @@ +142 +163 +4.0 +5540590287.437765 +918624000.0 \ No newline at end of file diff --git a/updatedrun/1498 b/updatedrun/1498 new file mode 100644 index 00000000..d9d37481 --- /dev/null +++ b/updatedrun/1498 @@ -0,0 +1,5 @@ +142 +163 +4.5 +5655418287.437765 +1033452000.0 \ No newline at end of file diff --git a/updatedrun/1499 b/updatedrun/1499 new file mode 100644 index 00000000..e2440c55 --- /dev/null +++ b/updatedrun/1499 @@ -0,0 +1,5 @@ +142 +163 +5.0 +5770246287.437765 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/15 b/updatedrun/15 new file mode 100644 index 00000000..648906b2 --- /dev/null +++ b/updatedrun/15 @@ -0,0 +1,5 @@ +0 +10 +3.0 +5275188101.902407 +328080000.0 \ No newline at end of file diff --git a/updatedrun/150 b/updatedrun/150 new file mode 100644 index 00000000..03ae1a78 --- /dev/null +++ b/updatedrun/150 @@ -0,0 +1,5 @@ +0 +152 +0.5 +5367745601.110633 +831136000.0 \ No newline at end of file diff --git a/updatedrun/1500 b/updatedrun/1500 new file mode 100644 index 00000000..11aab630 --- /dev/null +++ b/updatedrun/1500 @@ -0,0 +1,5 @@ +152 +152 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1501 b/updatedrun/1501 new file mode 100644 index 00000000..79be8f85 --- /dev/null +++ b/updatedrun/1501 @@ -0,0 +1,5 @@ +152 +152 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1502 b/updatedrun/1502 new file mode 100644 index 00000000..7070c383 --- /dev/null +++ b/updatedrun/1502 @@ -0,0 +1,5 @@ +152 +152 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1503 b/updatedrun/1503 new file mode 100644 index 00000000..54626e18 --- /dev/null +++ b/updatedrun/1503 @@ -0,0 +1,5 @@ +152 +152 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1504 b/updatedrun/1504 new file mode 100644 index 00000000..938655e9 --- /dev/null +++ b/updatedrun/1504 @@ -0,0 +1,5 @@ +152 +152 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1505 b/updatedrun/1505 new file mode 100644 index 00000000..88bb4214 --- /dev/null +++ b/updatedrun/1505 @@ -0,0 +1,5 @@ +152 +152 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1506 b/updatedrun/1506 new file mode 100644 index 00000000..ecbd9311 --- /dev/null +++ b/updatedrun/1506 @@ -0,0 +1,5 @@ +152 +152 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1507 b/updatedrun/1507 new file mode 100644 index 00000000..24f94a44 --- /dev/null +++ b/updatedrun/1507 @@ -0,0 +1,5 @@ +152 +152 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1508 b/updatedrun/1508 new file mode 100644 index 00000000..458a254a --- /dev/null +++ b/updatedrun/1508 @@ -0,0 +1,5 @@ +152 +152 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1509 b/updatedrun/1509 new file mode 100644 index 00000000..ec476299 --- /dev/null +++ b/updatedrun/1509 @@ -0,0 +1,5 @@ +152 +152 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/151 b/updatedrun/151 new file mode 100644 index 00000000..b4fd8a25 --- /dev/null +++ b/updatedrun/151 @@ -0,0 +1,5 @@ +0 +152 +1.0 +5795695142.121928 +1662272000.0 \ No newline at end of file diff --git a/updatedrun/1510 b/updatedrun/1510 new file mode 100644 index 00000000..3b9c198c --- /dev/null +++ b/updatedrun/1510 @@ -0,0 +1,5 @@ +152 +163 +0.5 +4852969029.38804 +60148000.0 \ No newline at end of file diff --git a/updatedrun/1511 b/updatedrun/1511 new file mode 100644 index 00000000..da273a27 --- /dev/null +++ b/updatedrun/1511 @@ -0,0 +1,5 @@ +152 +163 +1.0 +4885155540.563188 +120296000.0 \ No newline at end of file diff --git a/updatedrun/1512 b/updatedrun/1512 new file mode 100644 index 00000000..00437629 --- /dev/null +++ b/updatedrun/1512 @@ -0,0 +1,5 @@ +152 +163 +1.5 +4945047864.161633 +180444000.0 \ No newline at end of file diff --git a/updatedrun/1513 b/updatedrun/1513 new file mode 100644 index 00000000..e1181bb1 --- /dev/null +++ b/updatedrun/1513 @@ -0,0 +1,5 @@ +152 +163 +2.0 +5005195864.161633 +240592000.0 \ No newline at end of file diff --git a/updatedrun/1514 b/updatedrun/1514 new file mode 100644 index 00000000..e542060c --- /dev/null +++ b/updatedrun/1514 @@ -0,0 +1,5 @@ +152 +163 +2.5 +5065343864.161633 +300740000.0 \ No newline at end of file diff --git a/updatedrun/1515 b/updatedrun/1515 new file mode 100644 index 00000000..86026896 --- /dev/null +++ b/updatedrun/1515 @@ -0,0 +1,5 @@ +152 +163 +3.0 +5125491864.161633 +360888000.0 \ No newline at end of file diff --git a/updatedrun/1516 b/updatedrun/1516 new file mode 100644 index 00000000..a7e23715 --- /dev/null +++ b/updatedrun/1516 @@ -0,0 +1,5 @@ +152 +163 +3.5 +5185639864.161633 +421036000.0 \ No newline at end of file diff --git a/updatedrun/1517 b/updatedrun/1517 new file mode 100644 index 00000000..676fef13 --- /dev/null +++ b/updatedrun/1517 @@ -0,0 +1,5 @@ +152 +163 +4.0 +5245787864.161633 +481184000.0 \ No newline at end of file diff --git a/updatedrun/1518 b/updatedrun/1518 new file mode 100644 index 00000000..f47bc0f8 --- /dev/null +++ b/updatedrun/1518 @@ -0,0 +1,5 @@ +152 +163 +4.5 +5305935864.161633 +541332000.0 \ No newline at end of file diff --git a/updatedrun/1519 b/updatedrun/1519 new file mode 100644 index 00000000..7805904b --- /dev/null +++ b/updatedrun/1519 @@ -0,0 +1,5 @@ +152 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00000000..5e5c0a62 --- /dev/null +++ b/updatedrun/1523 @@ -0,0 +1,5 @@ +163 +163 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1524 b/updatedrun/1524 new file mode 100644 index 00000000..952d40c5 --- /dev/null +++ b/updatedrun/1524 @@ -0,0 +1,5 @@ +163 +163 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1525 b/updatedrun/1525 new file mode 100644 index 00000000..ae5b2b08 --- /dev/null +++ b/updatedrun/1525 @@ -0,0 +1,5 @@ +163 +163 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1526 b/updatedrun/1526 new file mode 100644 index 00000000..96beff0b --- /dev/null +++ b/updatedrun/1526 @@ -0,0 +1,5 @@ +163 +163 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1527 b/updatedrun/1527 new file mode 100644 index 00000000..13008167 --- /dev/null +++ b/updatedrun/1527 @@ -0,0 +1,5 @@ +163 +163 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1528 b/updatedrun/1528 new file mode 100644 index 00000000..cb9f4083 --- /dev/null +++ b/updatedrun/1528 @@ -0,0 +1,5 @@ +163 +163 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/1529 b/updatedrun/1529 new file mode 100644 index 00000000..90ed3d7c --- /dev/null +++ b/updatedrun/1529 @@ -0,0 +1,5 @@ +163 +163 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/153 b/updatedrun/153 new file mode 100644 index 00000000..77090a4f --- /dev/null +++ b/updatedrun/153 @@ -0,0 +1,5 @@ +0 +152 +2.0 +4754355943.919594 +3324544000.0 \ No newline at end of file diff --git a/updatedrun/154 b/updatedrun/154 new file mode 100644 index 00000000..9a0ded71 --- /dev/null +++ b/updatedrun/154 @@ -0,0 +1,5 @@ +0 +152 +2.5 +5180747520.264131 +4155680000.0 \ No newline at end of file diff --git a/updatedrun/155 b/updatedrun/155 new file mode 100644 index 00000000..b61a0de6 --- /dev/null +++ b/updatedrun/155 @@ -0,0 +1,5 @@ +0 +152 +3.0 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00000000..e4272e60 --- /dev/null +++ b/updatedrun/16 @@ -0,0 +1,5 @@ +0 +10 +3.5 +5329868101.902407 +382760000.0 \ No newline at end of file diff --git a/updatedrun/160 b/updatedrun/160 new file mode 100644 index 00000000..2b3dc13d --- /dev/null +++ b/updatedrun/160 @@ -0,0 +1,5 @@ +0 +163 +0.5 +5071251412.838479 +891284000.0 \ No newline at end of file diff --git a/updatedrun/161 b/updatedrun/161 new file mode 100644 index 00000000..55924b07 --- /dev/null +++ b/updatedrun/161 @@ -0,0 +1,5 @@ +0 +163 +1.0 +5473364759.534958 +1782568000.0 \ No newline at end of file diff --git a/updatedrun/162 b/updatedrun/162 new file mode 100644 index 00000000..b7e468b5 --- /dev/null +++ b/updatedrun/162 @@ -0,0 +1,5 @@ +0 +163 +1.5 +5481877672.257165 +2673852000.0 \ No newline at end of file diff --git a/updatedrun/163 b/updatedrun/163 new file mode 100644 index 00000000..6ee3f63d --- /dev/null +++ b/updatedrun/163 @@ -0,0 +1,5 @@ +0 +163 +2.0 +4338838617.501665 +3565136000.0 \ No newline at end of file diff --git a/updatedrun/164 b/updatedrun/164 new file mode 100644 index 00000000..7066d3e2 --- /dev/null +++ b/updatedrun/164 @@ -0,0 +1,5 @@ +0 +163 +2.5 +4826906374.893602 +4456420000.0 \ No newline at end of file diff --git a/updatedrun/165 b/updatedrun/165 new file mode 100644 index 00000000..c1eba800 --- /dev/null +++ b/updatedrun/165 @@ -0,0 +1,5 @@ +0 +163 +3.0 +5616286736.827414 +5347704000.0 \ No newline at end of file diff --git a/updatedrun/166 b/updatedrun/166 new file mode 100644 index 00000000..927dd088 --- /dev/null +++ b/updatedrun/166 @@ -0,0 +1,5 @@ +0 +163 +3.5 +6345274669.845871 +6238988000.0 \ No newline at end of file diff --git a/updatedrun/167 b/updatedrun/167 new file mode 100644 index 00000000..08859406 --- /dev/null +++ b/updatedrun/167 @@ -0,0 +1,5 @@ +0 +163 +4.0 +7236558669.845871 +7130272000.0 \ No newline at end of file diff --git a/updatedrun/168 b/updatedrun/168 new file mode 100644 index 00000000..590006cf --- /dev/null +++ b/updatedrun/168 @@ -0,0 +1,5 @@ +0 +163 +4.5 +8127842669.845871 +8021556000.0 \ No newline at end of file diff --git a/updatedrun/169 b/updatedrun/169 new file mode 100644 index 00000000..3b007f15 --- /dev/null +++ b/updatedrun/169 @@ -0,0 +1,5 @@ +0 +163 +5.0 +9019126669.845871 +8912840000.0 \ No newline at end of file diff --git a/updatedrun/17 b/updatedrun/17 new file mode 100644 index 00000000..9139cd73 --- /dev/null +++ b/updatedrun/17 @@ -0,0 +1,5 @@ +0 +10 +4.0 +5384548101.902407 +437440000.0 \ No newline at end of file diff --git a/updatedrun/170 b/updatedrun/170 new file mode 100644 index 00000000..2ada34de --- /dev/null +++ b/updatedrun/170 @@ -0,0 +1,5 @@ +10 +10 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/171 b/updatedrun/171 new file mode 100644 index 00000000..0eb02231 --- /dev/null +++ b/updatedrun/171 @@ -0,0 +1,5 @@ +10 +10 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/172 b/updatedrun/172 new file mode 100644 index 00000000..ff4e4c18 --- /dev/null +++ b/updatedrun/172 @@ -0,0 +1,5 @@ +10 +10 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/173 b/updatedrun/173 new file mode 100644 index 00000000..9d23a4ca --- /dev/null +++ b/updatedrun/173 @@ -0,0 +1,5 @@ +10 +10 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/174 b/updatedrun/174 new file mode 100644 index 00000000..56b5edc5 --- /dev/null +++ b/updatedrun/174 @@ -0,0 +1,5 @@ +10 +10 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/175 b/updatedrun/175 new file mode 100644 index 00000000..73803ff7 --- /dev/null +++ b/updatedrun/175 @@ -0,0 +1,5 @@ +10 +10 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/176 b/updatedrun/176 new file mode 100644 index 00000000..f372b287 --- /dev/null +++ b/updatedrun/176 @@ -0,0 +1,5 @@ +10 +10 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/177 b/updatedrun/177 new file mode 100644 index 00000000..99cb58a2 --- /dev/null +++ b/updatedrun/177 @@ -0,0 +1,5 @@ +10 +10 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/178 b/updatedrun/178 new file mode 100644 index 00000000..2b0b2345 --- /dev/null +++ b/updatedrun/178 @@ -0,0 +1,5 @@ +10 +10 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/179 b/updatedrun/179 new file mode 100644 index 00000000..62d0b49a --- /dev/null +++ b/updatedrun/179 @@ -0,0 +1,5 @@ +10 +10 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/18 b/updatedrun/18 new file mode 100644 index 00000000..8207eb71 --- /dev/null +++ b/updatedrun/18 @@ -0,0 +1,5 @@ +0 +10 +4.5 +5439228101.902407 +492120000.0 \ No newline at end of file diff --git a/updatedrun/180 b/updatedrun/180 new file mode 100644 index 00000000..8bbc749b --- /dev/null +++ b/updatedrun/180 @@ -0,0 +1,5 @@ +10 +20 +0.5 +5063228423.791929 +54680000.0 \ No newline at end of file diff --git a/updatedrun/181 b/updatedrun/181 new file mode 100644 index 00000000..95d7a555 --- /dev/null +++ b/updatedrun/181 @@ -0,0 +1,5 @@ +10 +20 +1.0 +5117907444.803106 +109360000.0 \ No newline at end of file diff --git a/updatedrun/182 b/updatedrun/182 new file mode 100644 index 00000000..d1f3cf7d --- /dev/null +++ b/updatedrun/182 @@ -0,0 +1,5 @@ +10 +20 +1.5 +5172587444.803106 +164040000.0 \ No newline at end of file diff --git a/updatedrun/183 b/updatedrun/183 new file mode 100644 index 00000000..c2ce2970 --- /dev/null +++ b/updatedrun/183 @@ -0,0 +1,5 @@ +10 +20 +2.0 +5227267444.803106 +218720000.0 \ No newline at end of file diff --git a/updatedrun/184 b/updatedrun/184 new file mode 100644 index 00000000..3e28bda8 --- /dev/null +++ b/updatedrun/184 @@ -0,0 +1,5 @@ +10 +20 +2.5 +5281947444.803106 +273400000.0 \ No newline at end of file diff --git a/updatedrun/185 b/updatedrun/185 new file mode 100644 index 00000000..321a949f --- /dev/null +++ b/updatedrun/185 @@ -0,0 +1,5 @@ +10 +20 +3.0 +5336627444.803106 +328080000.0 \ No newline at end of file diff --git a/updatedrun/186 b/updatedrun/186 new file mode 100644 index 00000000..f74b08ce --- /dev/null +++ b/updatedrun/186 @@ -0,0 +1,5 @@ +10 +20 +3.5 +5391307444.803106 +382760000.0 \ No newline at end of file diff --git a/updatedrun/187 b/updatedrun/187 new file mode 100644 index 00000000..26eb50c7 --- /dev/null +++ b/updatedrun/187 @@ -0,0 +1,5 @@ +10 +20 +4.0 +5445987444.803106 +437440000.0 \ No newline at end of file diff --git a/updatedrun/188 b/updatedrun/188 new file mode 100644 index 00000000..4204d79b --- /dev/null +++ b/updatedrun/188 @@ -0,0 +1,5 @@ +10 +20 +4.5 +5500667444.803106 +492120000.0 \ No newline at end of file diff --git a/updatedrun/189 b/updatedrun/189 new file mode 100644 index 00000000..5fb0d8dc --- /dev/null +++ b/updatedrun/189 @@ -0,0 +1,5 @@ +10 +20 +5.0 +5555347444.803106 +546800000.0 \ No newline at end of file diff --git a/updatedrun/19 b/updatedrun/19 new file mode 100644 index 00000000..e28aaad7 --- /dev/null +++ b/updatedrun/19 @@ -0,0 +1,5 @@ +0 +10 +5.0 +5493908101.902407 +546800000.0 \ No newline at end of file diff --git a/updatedrun/190 b/updatedrun/190 new file mode 100644 index 00000000..73d720d7 --- /dev/null +++ b/updatedrun/190 @@ -0,0 +1,5 @@ +10 +30 +0.5 +5106270904.096909 +109360000.0 \ No newline at end of file diff --git a/updatedrun/191 b/updatedrun/191 new file mode 100644 index 00000000..bda8bf2e --- /dev/null +++ b/updatedrun/191 @@ -0,0 +1,5 @@ +10 +30 +1.0 +5215512381.761783 +218720000.0 \ No newline at end of file diff --git a/updatedrun/192 b/updatedrun/192 new file mode 100644 index 00000000..22a9164d --- /dev/null +++ b/updatedrun/192 @@ -0,0 +1,5 @@ +10 +30 +1.5 +5324872381.761783 +328080000.0 \ No newline at end of file diff --git a/updatedrun/193 b/updatedrun/193 new file mode 100644 index 00000000..479c2bb4 --- /dev/null +++ b/updatedrun/193 @@ -0,0 +1,5 @@ +10 +30 +2.0 +5434232381.761783 +437440000.0 \ No newline at end of file diff --git a/updatedrun/194 b/updatedrun/194 new file mode 100644 index 00000000..0b6512c2 --- /dev/null +++ b/updatedrun/194 @@ -0,0 +1,5 @@ +10 +30 +2.5 +5543592381.761783 +546800000.0 \ No newline at end of file diff --git a/updatedrun/195 b/updatedrun/195 new file mode 100644 index 00000000..f5ee4300 --- /dev/null +++ b/updatedrun/195 @@ -0,0 +1,5 @@ +10 +30 +3.0 +5652952381.761783 +656160000.0 \ No newline at end of file diff --git a/updatedrun/196 b/updatedrun/196 new file mode 100644 index 00000000..e6daeae2 --- /dev/null +++ b/updatedrun/196 @@ -0,0 +1,5 @@ +10 +30 +3.5 +5762312381.761783 +765520000.0 \ No newline at end of file diff --git a/updatedrun/197 b/updatedrun/197 new file mode 100644 index 00000000..c45589a9 --- /dev/null +++ b/updatedrun/197 @@ -0,0 +1,5 @@ +10 +30 +4.0 +5871672381.761783 +874880000.0 \ No newline at end of file diff --git a/updatedrun/198 b/updatedrun/198 new file mode 100644 index 00000000..649dbef4 --- /dev/null +++ b/updatedrun/198 @@ -0,0 +1,5 @@ +10 +30 +4.5 +5981032381.761783 +984240000.0 \ No newline at end of file diff --git a/updatedrun/199 b/updatedrun/199 new file mode 100644 index 00000000..eb29e2dd --- /dev/null +++ b/updatedrun/199 @@ -0,0 +1,5 @@ +10 +30 +5.0 +6090392381.761783 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/2 b/updatedrun/2 new file mode 100644 index 00000000..1ba2b5f9 --- /dev/null +++ b/updatedrun/2 @@ -0,0 +1,5 @@ +0 +0 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/20 b/updatedrun/20 new file mode 100644 index 00000000..63b599f3 --- /dev/null +++ b/updatedrun/20 @@ -0,0 +1,5 @@ +0 +20 +0.5 +5045833400.114439 +109360000.0 \ No newline at end of file diff --git a/updatedrun/200 b/updatedrun/200 new file mode 100644 index 00000000..e17de651 --- /dev/null +++ b/updatedrun/200 @@ -0,0 +1,5 @@ +10 +40 +0.5 +5160475660.355506 +164040000.0 \ No newline at end of file diff --git a/updatedrun/201 b/updatedrun/201 new file mode 100644 index 00000000..e2864f3a --- /dev/null +++ b/updatedrun/201 @@ -0,0 +1,5 @@ +10 +40 +1.0 +5321019628.769921 +328080000.0 \ No newline at end of file diff --git a/updatedrun/202 b/updatedrun/202 new file mode 100644 index 00000000..578b24eb --- /dev/null +++ b/updatedrun/202 @@ -0,0 +1,5 @@ +10 +40 +1.5 +5485059628.769921 +492120000.0 \ No newline at end of file diff --git a/updatedrun/203 b/updatedrun/203 new file mode 100644 index 00000000..0c214894 --- /dev/null +++ b/updatedrun/203 @@ -0,0 +1,5 @@ +10 +40 +2.0 +5649099628.769921 +656160000.0 \ No newline at end of file diff --git a/updatedrun/204 b/updatedrun/204 new file mode 100644 index 00000000..b800cdb1 --- /dev/null +++ b/updatedrun/204 @@ -0,0 +1,5 @@ +10 +40 +2.5 +5813139628.769921 +820200000.0 \ No newline at end of file diff --git a/updatedrun/205 b/updatedrun/205 new file mode 100644 index 00000000..0ac63d18 --- /dev/null +++ b/updatedrun/205 @@ -0,0 +1,5 @@ +10 +40 +3.0 +5977179628.769921 +984240000.0 \ No newline at end of file diff --git a/updatedrun/206 b/updatedrun/206 new file mode 100644 index 00000000..0aef343c --- /dev/null +++ b/updatedrun/206 @@ -0,0 +1,5 @@ +10 +40 +3.5 +6141219628.769921 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/207 b/updatedrun/207 new file mode 100644 index 00000000..2db7db3c --- /dev/null +++ b/updatedrun/207 @@ -0,0 +1,5 @@ +10 +40 +4.0 +6305259628.769921 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/208 b/updatedrun/208 new file mode 100644 index 00000000..52f23fe9 --- /dev/null +++ b/updatedrun/208 @@ -0,0 +1,5 @@ +10 +40 +4.5 +6469299628.769921 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/209 b/updatedrun/209 new file mode 100644 index 00000000..ba9acfdd --- /dev/null +++ b/updatedrun/209 @@ -0,0 +1,5 @@ +10 +40 +5.0 +6633339628.769921 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/21 b/updatedrun/21 new file mode 100644 index 00000000..caaae1b2 --- /dev/null +++ b/updatedrun/21 @@ -0,0 +1,5 @@ +0 +20 +1.0 +5123451563.822976 +218720000.0 \ No newline at end of file diff --git a/updatedrun/210 b/updatedrun/210 new file mode 100644 index 00000000..5202c67a --- /dev/null +++ b/updatedrun/210 @@ -0,0 +1,5 @@ +10 +50 +0.5 +5215151054.342056 +218720000.0 \ No newline at end of file diff --git a/updatedrun/211 b/updatedrun/211 new file mode 100644 index 00000000..3c725cae --- /dev/null +++ b/updatedrun/211 @@ -0,0 +1,5 @@ +10 +50 +1.0 +5430374948.610522 +437440000.0 \ No newline at end of file diff --git a/updatedrun/212 b/updatedrun/212 new file mode 100644 index 00000000..e30816dd --- /dev/null +++ b/updatedrun/212 @@ -0,0 +1,5 @@ +10 +50 +1.5 +5649094948.610522 +656160000.0 \ No newline at end of file diff --git a/updatedrun/213 b/updatedrun/213 new file mode 100644 index 00000000..9de12160 --- /dev/null +++ b/updatedrun/213 @@ -0,0 +1,5 @@ +10 +50 +2.0 +5867814948.610522 +874880000.0 \ No newline at end of file diff --git a/updatedrun/214 b/updatedrun/214 new file mode 100644 index 00000000..65b2e73e --- /dev/null +++ b/updatedrun/214 @@ -0,0 +1,5 @@ +10 +50 +2.5 +6086534948.610522 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/215 b/updatedrun/215 new file mode 100644 index 00000000..d11ffa32 --- /dev/null +++ b/updatedrun/215 @@ -0,0 +1,5 @@ +10 +50 +3.0 +6305254948.610522 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/216 b/updatedrun/216 new file mode 100644 index 00000000..d43a67a0 --- /dev/null +++ b/updatedrun/216 @@ -0,0 +1,5 @@ +10 +50 +3.5 +6523974948.610522 +1531040000.0 \ No newline at end of file diff --git a/updatedrun/217 b/updatedrun/217 new file mode 100644 index 00000000..484cb21e --- /dev/null +++ b/updatedrun/217 @@ -0,0 +1,5 @@ +10 +50 +4.0 +6742694948.610522 +1749760000.0 \ No newline at end of file diff --git a/updatedrun/218 b/updatedrun/218 new file mode 100644 index 00000000..38d3e6e9 --- /dev/null +++ b/updatedrun/218 @@ -0,0 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100644 index 00000000..5558217a --- /dev/null +++ b/updatedrun/222 @@ -0,0 +1,5 @@ +10 +61 +1.5 +5829317850.074972 +836604000.0 \ No newline at end of file diff --git a/updatedrun/223 b/updatedrun/223 new file mode 100644 index 00000000..5a7b22e5 --- /dev/null +++ b/updatedrun/223 @@ -0,0 +1,5 @@ +10 +61 +2.0 +6108137762.628377 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/224 b/updatedrun/224 new file mode 100644 index 00000000..991c551e --- /dev/null +++ b/updatedrun/224 @@ -0,0 +1,5 @@ +10 +61 +2.5 +6386998784.136143 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/225 b/updatedrun/225 new file mode 100644 index 00000000..d15802e9 --- /dev/null +++ b/updatedrun/225 @@ -0,0 +1,5 @@ +10 +61 +3.0 +6665866784.136143 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/226 b/updatedrun/226 new file mode 100644 index 00000000..b4aa468f --- /dev/null +++ b/updatedrun/226 @@ -0,0 +1,5 @@ +10 +61 +3.5 +6944734784.136143 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/227 b/updatedrun/227 new file mode 100644 index 00000000..fdc7f5ef --- /dev/null +++ b/updatedrun/227 @@ -0,0 +1,5 @@ +10 +61 +4.0 +7223602784.136143 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/228 b/updatedrun/228 new file mode 100644 index 00000000..a2a7576a --- /dev/null +++ b/updatedrun/228 @@ -0,0 +1,5 @@ +10 +61 +4.5 +7502470784.136143 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/229 b/updatedrun/229 new file mode 100644 index 00000000..8367cb25 --- /dev/null +++ b/updatedrun/229 @@ -0,0 +1,5 @@ +10 +61 +5.0 +7781338784.136143 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/23 b/updatedrun/23 new file mode 100644 index 00000000..2b544287 --- /dev/null +++ b/updatedrun/23 @@ -0,0 +1,5 @@ +0 +20 +2.0 +5338610226.397153 +437440000.0 \ No newline at end of file diff --git a/updatedrun/230 b/updatedrun/230 new file mode 100644 index 00000000..ef6fddbb --- /dev/null +++ b/updatedrun/230 @@ -0,0 +1,5 @@ +10 +71 +0.5 +5329979054.342056 +333548000.0 \ No newline at end of file diff --git a/updatedrun/231 b/updatedrun/231 new file mode 100644 index 00000000..972fa012 --- /dev/null +++ b/updatedrun/231 @@ -0,0 +1,5 @@ +10 +71 +1.0 +5659993864.4089575 +667096000.0 \ No newline at end of file diff --git a/updatedrun/232 b/updatedrun/232 new file mode 100644 index 00000000..3e833169 --- /dev/null +++ b/updatedrun/232 @@ -0,0 +1,5 @@ +10 +71 +1.5 +5993185087.768669 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/233 b/updatedrun/233 new file mode 100644 index 00000000..79f3aa46 --- /dev/null +++ b/updatedrun/233 @@ -0,0 +1,5 @@ +10 +71 +2.0 +6326671419.441973 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/234 b/updatedrun/234 new file mode 100644 index 00000000..3bba5e1f --- /dev/null +++ b/updatedrun/234 @@ -0,0 +1,5 @@ +10 +71 +2.5 +6660219419.441973 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/235 b/updatedrun/235 new file mode 100644 index 00000000..36b40997 --- /dev/null +++ b/updatedrun/235 @@ -0,0 +1,5 @@ +10 +71 +3.0 +6993767419.441973 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/236 b/updatedrun/236 new file mode 100644 index 00000000..ac9c01b4 --- /dev/null +++ b/updatedrun/236 @@ -0,0 +1,5 @@ +10 +71 +3.5 +7327315419.441973 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/237 b/updatedrun/237 new file mode 100644 index 00000000..935495f0 --- /dev/null +++ b/updatedrun/237 @@ -0,0 +1,5 @@ +10 +71 +4.0 +7660863419.441973 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/238 b/updatedrun/238 new file mode 100644 index 00000000..9480964e --- /dev/null +++ b/updatedrun/238 @@ -0,0 +1,5 @@ +10 +71 +4.5 +7994411419.441973 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/239 b/updatedrun/239 new file mode 100644 index 00000000..f557570a --- /dev/null +++ b/updatedrun/239 @@ -0,0 +1,5 @@ +10 +71 +5.0 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00000000..6a88d2cc --- /dev/null +++ b/updatedrun/243 @@ -0,0 +1,5 @@ +10 +81 +2.0 +5542377445.066414 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/244 b/updatedrun/244 new file mode 100644 index 00000000..5e6cf891 --- /dev/null +++ b/updatedrun/244 @@ -0,0 +1,5 @@ +10 +81 +2.5 +5901364899.125004 +1941140000.0 \ No newline at end of file diff --git a/updatedrun/245 b/updatedrun/245 new file mode 100644 index 00000000..630a6cb6 --- /dev/null +++ b/updatedrun/245 @@ -0,0 +1,5 @@ +10 +81 +3.0 +6277914112.622654 +2329368000.0 \ No newline at end of file diff --git a/updatedrun/246 b/updatedrun/246 new file mode 100644 index 00000000..326496bb --- /dev/null +++ b/updatedrun/246 @@ -0,0 +1,5 @@ +10 +81 +3.5 +6665042149.940383 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/247 b/updatedrun/247 new file mode 100644 index 00000000..ca93f0c8 --- /dev/null +++ b/updatedrun/247 @@ -0,0 +1,5 @@ +10 +81 +4.0 +7053270149.940383 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/248 b/updatedrun/248 new file mode 100644 index 00000000..7480e172 --- /dev/null +++ b/updatedrun/248 @@ -0,0 +1,5 @@ +10 +81 +4.5 +7441498149.940383 +3494052000.0 \ No newline at end of file diff --git a/updatedrun/249 b/updatedrun/249 new file mode 100644 index 00000000..21370fca --- /dev/null +++ b/updatedrun/249 @@ -0,0 +1,5 @@ +10 +81 +5.0 +7829726149.940383 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/25 b/updatedrun/25 new file mode 100644 index 00000000..a6875a4b --- /dev/null +++ b/updatedrun/25 @@ -0,0 +1,5 @@ +0 +20 +3.0 +5557330226.397153 +656160000.0 \ No newline at end of file diff --git a/updatedrun/250 b/updatedrun/250 new file mode 100644 index 00000000..6f3821fe --- /dev/null +++ b/updatedrun/250 @@ -0,0 +1,5 @@ +10 +91 +0.5 +5438675330.145821 +442908000.0 \ No newline at end of file diff --git a/updatedrun/251 b/updatedrun/251 new file mode 100644 index 00000000..c199f934 --- /dev/null +++ b/updatedrun/251 @@ -0,0 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mode 100644 index 00000000..0a3c1f00 --- /dev/null +++ b/updatedrun/256 @@ -0,0 +1,5 @@ +10 +91 +3.5 +6441335610.450309 +3100356000.0 \ No newline at end of file diff --git a/updatedrun/257 b/updatedrun/257 new file mode 100644 index 00000000..54310bf7 --- /dev/null +++ b/updatedrun/257 @@ -0,0 +1,5 @@ +10 +91 +4.0 +6884243610.450309 +3543264000.0 \ No newline at end of file diff --git a/updatedrun/258 b/updatedrun/258 new file mode 100644 index 00000000..2926989b --- /dev/null +++ b/updatedrun/258 @@ -0,0 +1,5 @@ +10 +91 +4.5 +7327151610.450309 +3986172000.0 \ No newline at end of file diff --git a/updatedrun/259 b/updatedrun/259 new file mode 100644 index 00000000..e04b276a --- /dev/null +++ b/updatedrun/259 @@ -0,0 +1,5 @@ +10 +91 +5.0 +7770059610.450309 +4429080000.0 \ No newline at end of file diff --git a/updatedrun/26 b/updatedrun/26 new file mode 100644 index 00000000..4ac31a1f --- /dev/null +++ b/updatedrun/26 @@ -0,0 +1,5 @@ +0 +20 +3.5 +5666690226.397153 +765520000.0 \ No newline at end of file diff --git a/updatedrun/260 b/updatedrun/260 new file mode 100644 index 00000000..8a00286c --- /dev/null +++ b/updatedrun/260 @@ -0,0 +1,5 @@ +10 +101 +0.5 +5493355330.145821 +497588000.0 \ No newline at end of file diff --git a/updatedrun/261 b/updatedrun/261 new file mode 100644 index 00000000..0df66f53 --- /dev/null +++ b/updatedrun/261 @@ -0,0 +1,5 @@ +10 +101 +1.0 +5967063148.081881 +995176000.0 \ No newline at end of file diff --git a/updatedrun/262 b/updatedrun/262 new file mode 100644 index 00000000..117f1cd4 --- /dev/null +++ b/updatedrun/262 @@ -0,0 +1,5 @@ +10 +101 +1.5 +5633445360.553089 +1492764000.0 \ No newline at end of file diff --git a/updatedrun/263 b/updatedrun/263 new file mode 100644 index 00000000..96bbb049 --- /dev/null +++ b/updatedrun/263 @@ -0,0 +1,5 @@ +10 +101 +2.0 +5509061295.369501 +1990352000.0 \ No newline at end of file diff --git a/updatedrun/264 b/updatedrun/264 new file mode 100644 index 00000000..6fa38eb8 --- /dev/null +++ b/updatedrun/264 @@ -0,0 +1,5 @@ +10 +101 +2.5 +5884670022.338265 +2487940000.0 \ No newline at end of file diff --git a/updatedrun/265 b/updatedrun/265 new file mode 100644 index 00000000..b9a77429 --- /dev/null +++ b/updatedrun/265 @@ -0,0 +1,5 @@ +10 +101 +3.0 +6337024713.088289 +2985528000.0 \ No newline at end of file diff --git a/updatedrun/266 b/updatedrun/266 new file mode 100644 index 00000000..fcf2992f --- /dev/null +++ b/updatedrun/266 @@ -0,0 +1,5 @@ +10 +101 +3.5 +6815713288.174106 +3483116000.0 \ No newline at end of file diff --git a/updatedrun/267 b/updatedrun/267 new file mode 100644 index 00000000..46850149 --- /dev/null +++ b/updatedrun/267 @@ -0,0 +1,5 @@ +10 +101 +4.0 +7313301288.174106 +3980704000.0 \ No newline at end of file diff --git a/updatedrun/268 b/updatedrun/268 new file mode 100644 index 00000000..e648909c --- /dev/null +++ b/updatedrun/268 @@ -0,0 +1,5 @@ +10 +101 +4.5 +7810889288.174106 +4478292000.0 \ No newline at end of file diff --git a/updatedrun/269 b/updatedrun/269 new file mode 100644 index 00000000..ea8fd1f3 --- /dev/null +++ b/updatedrun/269 @@ -0,0 +1,5 @@ +10 +101 +5.0 +8308477288.174106 +4975880000.0 \ No newline at end of file diff --git a/updatedrun/27 b/updatedrun/27 new file mode 100644 index 00000000..e86c3a06 --- /dev/null +++ b/updatedrun/27 @@ -0,0 +1,5 @@ +0 +20 +4.0 +5776050226.397153 +874880000.0 \ No newline at end of file diff --git a/updatedrun/270 b/updatedrun/270 new file mode 100644 index 00000000..aee2a8e6 --- /dev/null +++ b/updatedrun/270 @@ -0,0 +1,5 @@ +10 +112 +0.5 +5515720787.450968 +557736000.0 \ No newline at end of file diff --git a/updatedrun/271 b/updatedrun/271 new file mode 100644 index 00000000..1884169e --- /dev/null +++ b/updatedrun/271 @@ -0,0 +1,5 @@ +10 +112 +1.0 +6025306094.853059 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/272 b/updatedrun/272 new file mode 100644 index 00000000..8f887b84 --- /dev/null +++ b/updatedrun/272 @@ -0,0 +1,5 @@ +10 +112 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index 00000000..065a40b6 --- /dev/null +++ b/updatedrun/277 @@ -0,0 +1,5 @@ +10 +112 +4.0 +6565324271.873921 +4461888000.0 \ No newline at end of file diff --git a/updatedrun/278 b/updatedrun/278 new file mode 100644 index 00000000..3c8f408e --- /dev/null +++ b/updatedrun/278 @@ -0,0 +1,5 @@ +10 +112 +4.5 +7123060271.873921 +5019624000.0 \ No newline at end of file diff --git a/updatedrun/279 b/updatedrun/279 new file mode 100644 index 00000000..69f27a87 --- /dev/null +++ b/updatedrun/279 @@ -0,0 +1,5 @@ +10 +112 +5.0 +7680796271.873921 +5577360000.0 \ No newline at end of file diff --git a/updatedrun/28 b/updatedrun/28 new file mode 100644 index 00000000..5f8569bf --- /dev/null +++ b/updatedrun/28 @@ -0,0 +1,5 @@ +0 +20 +4.5 +5885410226.397153 +984240000.0 \ No newline at end of file diff --git a/updatedrun/280 b/updatedrun/280 new file mode 100644 index 00000000..e43010f6 --- /dev/null +++ b/updatedrun/280 @@ -0,0 +1,5 @@ +10 +122 +0.5 +5568563434.815682 +612416000.0 \ No newline at end of file diff --git a/updatedrun/281 b/updatedrun/281 new file mode 100644 index 00000000..abfa864e --- /dev/null +++ b/updatedrun/281 @@ -0,0 +1,5 @@ +10 +122 +1.0 +6129914997.544813 +1224832000.0 \ No newline at end of file diff --git a/updatedrun/282 b/updatedrun/282 new file mode 100644 index 00000000..44c53c80 --- /dev/null +++ b/updatedrun/282 @@ -0,0 +1,5 @@ +10 +122 +1.5 +6010285773.170568 +1837248000.0 \ No newline at end of file diff --git a/updatedrun/283 b/updatedrun/283 new file mode 100644 index 00000000..ac2b57a8 --- /dev/null +++ b/updatedrun/283 @@ -0,0 +1,5 @@ +10 +122 +2.0 +4796492483.807025 +2449664000.0 \ No newline at end of file diff --git a/updatedrun/284 b/updatedrun/284 new file mode 100644 index 00000000..3eddd59b --- /dev/null +++ b/updatedrun/284 @@ -0,0 +1,5 @@ +10 +122 +2.5 +5023701822.375103 +3062080000.0 \ No newline at end of file diff --git a/updatedrun/285 b/updatedrun/285 new file mode 100644 index 00000000..64d92161 --- /dev/null +++ b/updatedrun/285 @@ -0,0 +1,5 @@ +10 +122 +3.0 +5533284940.42706 +3674496000.0 \ No newline at end of file diff --git a/updatedrun/286 b/updatedrun/286 new file mode 100644 index 00000000..a681c069 --- /dev/null +++ b/updatedrun/286 @@ -0,0 +1,5 @@ +10 +122 +3.5 +5989594085.231083 +4286912000.0 \ No newline at end of file diff --git a/updatedrun/287 b/updatedrun/287 new file mode 100644 index 00000000..a0102bae --- /dev/null +++ b/updatedrun/287 @@ -0,0 +1,5 @@ +10 +122 +4.0 +6602010085.231083 +4899328000.0 \ No newline at end of file diff --git a/updatedrun/288 b/updatedrun/288 new file mode 100644 index 00000000..a6559b29 --- /dev/null +++ b/updatedrun/288 @@ -0,0 +1,5 @@ +10 +122 +4.5 +7214426085.231083 +5511744000.0 \ No newline at end of file diff --git a/updatedrun/289 b/updatedrun/289 new file mode 100644 index 00000000..79f46814 --- /dev/null +++ b/updatedrun/289 @@ -0,0 +1,5 @@ +10 +122 +5.0 +7826842085.231083 +6124160000.0 \ No newline at end of file diff --git a/updatedrun/29 b/updatedrun/29 new file mode 100644 index 00000000..10acc224 --- /dev/null +++ b/updatedrun/29 @@ -0,0 +1,5 @@ +0 +20 +5.0 +5994770226.397153 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/290 b/updatedrun/290 new file mode 100644 index 00000000..d8904aad --- /dev/null +++ b/updatedrun/290 @@ -0,0 +1,5 @@ +10 +132 +0.5 +5619615319.171827 +667096000.0 \ No newline at end of file diff --git a/updatedrun/291 b/updatedrun/291 new file mode 100644 index 00000000..2be26bec --- /dev/null +++ b/updatedrun/291 @@ -0,0 +1,5 @@ +10 +132 +1.0 +6232787002.119299 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/292 b/updatedrun/292 new file mode 100644 index 00000000..9f0afd5b --- /dev/null +++ b/updatedrun/292 @@ -0,0 +1,5 @@ +10 +132 +1.5 +6164706984.43288 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/293 b/updatedrun/293 new file mode 100644 index 00000000..bc296572 --- /dev/null +++ b/updatedrun/293 @@ -0,0 +1,5 @@ +10 +132 +2.0 +4999339919.496031 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/294 b/updatedrun/294 new file mode 100644 index 00000000..01567ef4 --- /dev/null +++ b/updatedrun/294 @@ -0,0 +1,5 @@ +10 +132 +2.5 +5269586548.231238 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/295 b/updatedrun/295 new file mode 100644 index 00000000..7670686b --- /dev/null +++ b/updatedrun/295 @@ -0,0 +1,5 @@ +10 +132 +3.0 +5828947854.782693 +4002576000.0 \ No newline at end of file diff --git a/updatedrun/296 b/updatedrun/296 new file mode 100644 index 00000000..001fc907 --- /dev/null +++ b/updatedrun/296 @@ -0,0 +1,5 @@ +10 +132 +3.5 +6339367963.660651 +4669672000.0 \ No newline at end of file diff --git a/updatedrun/297 b/updatedrun/297 new file mode 100644 index 00000000..f7fc94dd --- /dev/null +++ b/updatedrun/297 @@ -0,0 +1,5 @@ +10 +132 +4.0 +7006463963.660651 +5336768000.0 \ No newline at end of file diff --git a/updatedrun/298 b/updatedrun/298 new file mode 100644 index 00000000..e66b123e --- /dev/null +++ b/updatedrun/298 @@ -0,0 +1,5 @@ +10 +132 +4.5 +7673559963.660651 +6003864000.0 \ No newline at end of file diff --git a/updatedrun/299 b/updatedrun/299 new file mode 100644 index 00000000..dd4a2ac9 --- /dev/null +++ b/updatedrun/299 @@ -0,0 +1,5 @@ +10 +132 +5.0 +8340655963.660651 +6670960000.0 \ No newline at end of file diff --git a/updatedrun/3 b/updatedrun/3 new file mode 100644 index 00000000..17703b30 --- /dev/null +++ b/updatedrun/3 @@ -0,0 +1,5 @@ +0 +0 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/30 b/updatedrun/30 new file mode 100644 index 00000000..1ee13e84 --- /dev/null +++ b/updatedrun/30 @@ -0,0 +1,5 @@ +0 +30 +0.5 +5005766574.457381 +164040000.0 \ No newline at end of file diff --git a/updatedrun/300 b/updatedrun/300 new file mode 100644 index 00000000..9d294380 --- /dev/null +++ b/updatedrun/300 @@ -0,0 +1,5 @@ +10 +142 +0.5 +5619782859.516334 +721776000.0 \ No newline at end of file diff --git a/updatedrun/301 b/updatedrun/301 new file mode 100644 index 00000000..34cf5129 --- /dev/null +++ b/updatedrun/301 @@ -0,0 +1,5 @@ +10 +142 +1.0 +6272052670.650669 +1443552000.0 \ No newline at end of file diff --git a/updatedrun/302 b/updatedrun/302 new file mode 100644 index 00000000..a5e1ef5f --- /dev/null +++ b/updatedrun/302 @@ -0,0 +1,5 @@ +10 +142 +1.5 +6251974166.707227 +2165328000.0 \ No newline at end of file diff --git a/updatedrun/303 b/updatedrun/303 new file mode 100644 index 00000000..4a5792da --- /dev/null +++ b/updatedrun/303 @@ -0,0 +1,5 @@ +10 +142 +2.0 +5116537940.673733 +2887104000.0 \ No newline at end of file diff --git a/updatedrun/304 b/updatedrun/304 new file mode 100644 index 00000000..bf09a239 --- /dev/null +++ b/updatedrun/304 @@ -0,0 +1,5 @@ +10 +142 +2.5 +5436340270.331694 +3608880000.0 \ No newline at end of file diff --git a/updatedrun/305 b/updatedrun/305 new file mode 100644 index 00000000..ea42c4db --- /dev/null +++ b/updatedrun/305 @@ -0,0 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mode 100644 index 00000000..cacbbef9 --- /dev/null +++ b/updatedrun/31 @@ -0,0 +1,5 @@ +0 +30 +1.0 +4982631430.969284 +328080000.0 \ No newline at end of file diff --git a/updatedrun/310 b/updatedrun/310 new file mode 100644 index 00000000..7d4ebc13 --- /dev/null +++ b/updatedrun/310 @@ -0,0 +1,5 @@ +10 +152 +0.5 +5468039697.253221 +776456000.0 \ No newline at end of file diff --git a/updatedrun/311 b/updatedrun/311 new file mode 100644 index 00000000..b8958232 --- /dev/null +++ b/updatedrun/311 @@ -0,0 +1,5 @@ +10 +152 +1.0 +6090899649.599614 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/312 b/updatedrun/312 new file mode 100644 index 00000000..0a0ce602 --- /dev/null +++ b/updatedrun/312 @@ -0,0 +1,5 @@ +10 +152 +1.5 +6109230715.641203 +2329368000.0 \ No newline at end of file diff --git a/updatedrun/313 b/updatedrun/313 new file mode 100644 index 00000000..359aa17a --- /dev/null +++ b/updatedrun/313 @@ -0,0 +1,5 @@ +10 +152 +2.0 +5027014174.710177 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/314 b/updatedrun/314 new file mode 100644 index 00000000..6f3e3c40 --- /dev/null +++ b/updatedrun/314 @@ -0,0 +1,5 @@ +10 +152 +2.5 +5402966344.051748 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/315 b/updatedrun/315 new file mode 100644 index 00000000..4b03bc15 --- /dev/null +++ b/updatedrun/315 @@ -0,0 +1,5 @@ +10 +152 +3.0 +6077383851.291374 +4658736000.0 \ No newline at end of file diff --git a/updatedrun/316 b/updatedrun/316 new file mode 100644 index 00000000..ea09e2ee --- /dev/null +++ b/updatedrun/316 @@ -0,0 +1,5 @@ +10 +152 +3.5 +6689156496.509374 +5435192000.0 \ No newline at end of file diff --git a/updatedrun/317 b/updatedrun/317 new file mode 100644 index 00000000..1bbb5a02 --- /dev/null +++ b/updatedrun/317 @@ -0,0 +1,5 @@ +10 +152 +4.0 +7465612496.509374 +6211648000.0 \ No newline at end of file diff --git a/updatedrun/318 b/updatedrun/318 new file mode 100644 index 00000000..72252b4a --- /dev/null +++ b/updatedrun/318 @@ -0,0 +1,5 @@ +10 +152 +4.5 +8242068496.509374 +6988104000.0 \ No newline at end of file diff --git a/updatedrun/319 b/updatedrun/319 new file mode 100644 index 00000000..9d476349 --- /dev/null +++ b/updatedrun/319 @@ -0,0 +1,5 @@ +10 +152 +5.0 +9018524496.509375 +7764560000.0 \ No newline at end of file diff --git a/updatedrun/32 b/updatedrun/32 new file mode 100644 index 00000000..307e1866 --- /dev/null +++ b/updatedrun/32 @@ -0,0 +1,5 @@ +0 +30 +1.5 +5099841402.36586 +492120000.0 \ No newline at end of file diff --git a/updatedrun/320 b/updatedrun/320 new file mode 100644 index 00000000..7a4cd40f --- /dev/null +++ b/updatedrun/320 @@ -0,0 +1,5 @@ +10 +163 +0.5 +5171175438.053705 +836604000.0 \ No newline at end of file diff --git a/updatedrun/321 b/updatedrun/321 new file mode 100644 index 00000000..9752455c --- /dev/null +++ b/updatedrun/321 @@ -0,0 +1,5 @@ +10 +163 +1.0 +5767703207.762163 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/322 b/updatedrun/322 new file mode 100644 index 00000000..0588e299 --- /dev/null +++ b/updatedrun/322 @@ -0,0 +1,5 @@ +10 +163 +1.5 +5770071960.010402 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/323 b/updatedrun/323 new file mode 100644 index 00000000..94c40323 --- /dev/null +++ b/updatedrun/323 @@ -0,0 +1,5 @@ +10 +163 +2.0 +4609394246.929236 +3346416000.0 \ No newline at end of file diff --git a/updatedrun/324 b/updatedrun/324 new file mode 100644 index 00000000..179a29c6 --- /dev/null +++ b/updatedrun/324 @@ -0,0 +1,5 @@ +10 +163 +2.5 +5046957083.482113 +4183020000.0 \ No newline at end of file diff --git a/updatedrun/325 b/updatedrun/325 new file mode 100644 index 00000000..e02c135d --- /dev/null +++ b/updatedrun/325 @@ -0,0 +1,5 @@ +10 +163 +3.0 +5781742091.800977 +5019624000.0 \ No newline at end of file diff --git a/updatedrun/326 b/updatedrun/326 new file mode 100644 index 00000000..7f6f3e5a --- /dev/null +++ b/updatedrun/326 @@ -0,0 +1,5 @@ +10 +163 +3.5 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00000000..b5b4cdc3 --- /dev/null +++ b/updatedrun/330 @@ -0,0 +1,5 @@ +20 +20 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/331 b/updatedrun/331 new file mode 100644 index 00000000..71fc6425 --- /dev/null +++ b/updatedrun/331 @@ -0,0 +1,5 @@ +20 +20 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/332 b/updatedrun/332 new file mode 100644 index 00000000..77920a0d --- /dev/null +++ b/updatedrun/332 @@ -0,0 +1,5 @@ +20 +20 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/333 b/updatedrun/333 new file mode 100644 index 00000000..4e4f574d --- /dev/null +++ b/updatedrun/333 @@ -0,0 +1,5 @@ +20 +20 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/334 b/updatedrun/334 new file mode 100644 index 00000000..f69770f8 --- /dev/null +++ b/updatedrun/334 @@ -0,0 +1,5 @@ +20 +20 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/335 b/updatedrun/335 new file mode 100644 index 00000000..4e19057d --- /dev/null +++ b/updatedrun/335 @@ -0,0 +1,5 @@ +20 +20 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/336 b/updatedrun/336 new file mode 100644 index 00000000..30c23128 --- /dev/null +++ b/updatedrun/336 @@ -0,0 +1,5 @@ +20 +20 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/337 b/updatedrun/337 new file mode 100644 index 00000000..bb03d75e --- /dev/null +++ b/updatedrun/337 @@ -0,0 +1,5 @@ +20 +20 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/338 b/updatedrun/338 new file mode 100644 index 00000000..854ec8a9 --- /dev/null +++ b/updatedrun/338 @@ -0,0 +1,5 @@ +20 +20 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/339 b/updatedrun/339 new file mode 100644 index 00000000..76b374c5 --- /dev/null +++ b/updatedrun/339 @@ -0,0 +1,5 @@ +20 +20 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/34 b/updatedrun/34 new file mode 100644 index 00000000..7bdecacb --- /dev/null +++ b/updatedrun/34 @@ -0,0 +1,5 @@ +0 +30 +2.5 +5402572856.986455 +820200000.0 \ No newline at end of file diff --git a/updatedrun/340 b/updatedrun/340 new file mode 100644 index 00000000..87557af9 --- /dev/null +++ b/updatedrun/340 @@ -0,0 +1,5 @@ +20 +30 +0.5 +5063335882.393446 +54680000.0 \ No newline at end of file diff --git a/updatedrun/341 b/updatedrun/341 new file mode 100644 index 00000000..6ef1f7f3 --- /dev/null +++ b/updatedrun/341 @@ -0,0 +1,5 @@ +20 +30 +1.0 +5118009874.547693 +109360000.0 \ No newline at end of file diff --git a/updatedrun/342 b/updatedrun/342 new file mode 100644 index 00000000..8abe052f --- /dev/null +++ b/updatedrun/342 @@ -0,0 +1,5 @@ +20 +30 +1.5 +5172689874.547693 +164040000.0 \ No newline at end of file diff --git a/updatedrun/343 b/updatedrun/343 new file mode 100644 index 00000000..73a30776 --- /dev/null +++ b/updatedrun/343 @@ -0,0 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100644 index 00000000..5d4d3d62 --- /dev/null +++ b/updatedrun/348 @@ -0,0 +1,5 @@ +20 +30 +4.5 +5500769874.547693 +492120000.0 \ No newline at end of file diff --git a/updatedrun/349 b/updatedrun/349 new file mode 100644 index 00000000..004a3c9c --- /dev/null +++ b/updatedrun/349 @@ -0,0 +1,5 @@ +20 +30 +5.0 +5555449874.547693 +546800000.0 \ No newline at end of file diff --git a/updatedrun/35 b/updatedrun/35 new file mode 100644 index 00000000..8fc7d9dd --- /dev/null +++ b/updatedrun/35 @@ -0,0 +1,5 @@ +0 +30 +3.0 +5566612856.986455 +984240000.0 \ No newline at end of file diff --git a/updatedrun/350 b/updatedrun/350 new file mode 100644 index 00000000..60f03232 --- /dev/null +++ b/updatedrun/350 @@ -0,0 +1,5 @@ +20 +40 +0.5 +5117946834.518711 +109360000.0 \ No newline at end of file diff --git a/updatedrun/351 b/updatedrun/351 new file mode 100644 index 00000000..9dcbdd88 --- /dev/null +++ b/updatedrun/351 @@ -0,0 +1,5 @@ +20 +40 +1.0 +5227298386.365681 +218720000.0 \ No newline at end of file diff --git a/updatedrun/352 b/updatedrun/352 new file mode 100644 index 00000000..f15d7d17 --- /dev/null +++ b/updatedrun/352 @@ -0,0 +1,5 @@ +20 +40 +1.5 +5336658386.365681 +328080000.0 \ No newline at end of file diff --git a/updatedrun/353 b/updatedrun/353 new file mode 100644 index 00000000..a5869a3c --- /dev/null +++ b/updatedrun/353 @@ -0,0 +1,5 @@ +20 +40 +2.0 +5446018386.365681 +437440000.0 \ No newline at end of file diff --git a/updatedrun/354 b/updatedrun/354 new file mode 100644 index 00000000..a349c33d --- /dev/null +++ b/updatedrun/354 @@ -0,0 +1,5 @@ +20 +40 +2.5 +5555378386.365681 +546800000.0 \ No newline at end of file diff --git a/updatedrun/355 b/updatedrun/355 new file mode 100644 index 00000000..52924e92 --- /dev/null +++ b/updatedrun/355 @@ -0,0 +1,5 @@ +20 +40 +3.0 +5664738386.365681 +656160000.0 \ No newline at end of file diff --git a/updatedrun/356 b/updatedrun/356 new file mode 100644 index 00000000..53020d1e --- /dev/null +++ b/updatedrun/356 @@ -0,0 +1,5 @@ +20 +40 +3.5 +5774098386.365681 +765520000.0 \ No newline at end of file diff --git a/updatedrun/357 b/updatedrun/357 new file mode 100644 index 00000000..788b2187 --- /dev/null +++ b/updatedrun/357 @@ -0,0 +1,5 @@ +20 +40 +4.0 +5883458386.365681 +874880000.0 \ No newline at end of file diff --git a/updatedrun/358 b/updatedrun/358 new file mode 100644 index 00000000..f9a5a21f --- /dev/null +++ b/updatedrun/358 @@ -0,0 +1,5 @@ +20 +40 +4.5 +5992818386.365681 +984240000.0 \ No newline at end of file diff --git a/updatedrun/359 b/updatedrun/359 new file mode 100644 index 00000000..8cefc007 --- /dev/null +++ b/updatedrun/359 @@ -0,0 +1,5 @@ +20 +40 +5.0 +6102178386.365681 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/36 b/updatedrun/36 new file mode 100644 index 00000000..0ad5be12 --- /dev/null +++ b/updatedrun/36 @@ -0,0 +1,5 @@ +0 +30 +3.5 +5730652856.986455 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/360 b/updatedrun/360 new file mode 100644 index 00000000..19ae8b77 --- /dev/null +++ b/updatedrun/360 @@ -0,0 +1,5 @@ +20 +50 +0.5 +5172626343.463055 +164040000.0 \ No newline at end of file diff --git a/updatedrun/361 b/updatedrun/361 new file mode 100644 index 00000000..b3fb0b39 --- /dev/null +++ b/updatedrun/361 @@ -0,0 +1,5 @@ +20 +50 +1.0 +5336657814.395324 +328080000.0 \ No newline at end of file diff --git a/updatedrun/362 b/updatedrun/362 new file mode 100644 index 00000000..01dc9cab --- /dev/null +++ b/updatedrun/362 @@ -0,0 +1,5 @@ +20 +50 +1.5 +5500697814.395324 +492120000.0 \ No newline at end of file diff --git a/updatedrun/363 b/updatedrun/363 new file mode 100644 index 00000000..fc71c378 --- /dev/null +++ b/updatedrun/363 @@ -0,0 +1,5 @@ +20 +50 +2.0 +5664737814.395324 +656160000.0 \ No newline at end of file diff --git a/updatedrun/364 b/updatedrun/364 new file mode 100644 index 00000000..ea75cb56 --- /dev/null +++ b/updatedrun/364 @@ -0,0 +1,5 @@ +20 +50 +2.5 +5828777814.395324 +820200000.0 \ No newline at end of file diff --git a/updatedrun/365 b/updatedrun/365 new file mode 100644 index 00000000..4dc1d39b --- /dev/null +++ b/updatedrun/365 @@ -0,0 +1,5 @@ +20 +50 +3.0 +5992817814.395324 +984240000.0 \ No newline at end of file diff --git a/updatedrun/366 b/updatedrun/366 new file mode 100644 index 00000000..c9b6b795 --- /dev/null +++ b/updatedrun/366 @@ -0,0 +1,5 @@ +20 +50 +3.5 +6156857814.395324 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/367 b/updatedrun/367 new file mode 100644 index 00000000..b038a3ae --- /dev/null +++ b/updatedrun/367 @@ -0,0 +1,5 @@ +20 +50 +4.0 +6320897814.395324 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/368 b/updatedrun/368 new file mode 100644 index 00000000..9ad6dfcc --- /dev/null +++ b/updatedrun/368 @@ -0,0 +1,5 @@ +20 +50 +4.5 +6484937814.395324 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/369 b/updatedrun/369 new file mode 100644 index 00000000..d4cbeb06 --- /dev/null +++ b/updatedrun/369 @@ -0,0 +1,5 @@ +20 +50 +5.0 +6648977814.395324 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/37 b/updatedrun/37 new file mode 100644 index 00000000..ea1f9632 --- /dev/null +++ b/updatedrun/37 @@ -0,0 +1,5 @@ +0 +30 +4.0 +5894692856.986455 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/370 b/updatedrun/370 new file mode 100644 index 00000000..0cb8bab7 --- /dev/null +++ b/updatedrun/370 @@ -0,0 +1,5 @@ +20 +61 +0.5 +5232774343.463055 +224188000.0 \ No newline at end of file diff --git a/updatedrun/371 b/updatedrun/371 new file mode 100644 index 00000000..b7cfb71f --- /dev/null +++ b/updatedrun/371 @@ -0,0 +1,5 @@ +20 +61 +1.0 +5456953814.395324 +448376000.0 \ No newline at end of file diff --git a/updatedrun/372 b/updatedrun/372 new file mode 100644 index 00000000..da029344 --- /dev/null +++ b/updatedrun/372 @@ -0,0 +1,5 @@ +20 +61 +1.5 +5680927461.738958 +672564000.0 \ No newline at end of file diff --git a/updatedrun/373 b/updatedrun/373 new file mode 100644 index 00000000..4d845a4e --- /dev/null +++ b/updatedrun/373 @@ -0,0 +1,5 @@ +20 +61 +2.0 +5905078468.669575 +896752000.0 \ No newline at end of file diff --git a/updatedrun/374 b/updatedrun/374 new file mode 100644 index 00000000..1b03e396 --- /dev/null +++ b/updatedrun/374 @@ -0,0 +1,5 @@ +20 +61 +2.5 +6129266468.669575 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/375 b/updatedrun/375 new file mode 100644 index 00000000..99067e34 --- /dev/null +++ b/updatedrun/375 @@ -0,0 +1,5 @@ +20 +61 +3.0 +6353454468.669575 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/376 b/updatedrun/376 new file mode 100644 index 00000000..8ceafb35 --- /dev/null +++ b/updatedrun/376 @@ -0,0 +1,5 @@ +20 +61 +3.5 +6577642468.669575 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/377 b/updatedrun/377 new file mode 100644 index 00000000..080a0978 --- /dev/null +++ b/updatedrun/377 @@ -0,0 +1,5 @@ +20 +61 +4.0 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00000000..4aff330a --- /dev/null +++ b/updatedrun/381 @@ -0,0 +1,5 @@ +20 +71 +1.0 +5566305650.291323 +557736000.0 \ No newline at end of file diff --git a/updatedrun/382 b/updatedrun/382 new file mode 100644 index 00000000..a05d009b --- /dev/null +++ b/updatedrun/382 @@ -0,0 +1,5 @@ +20 +71 +1.5 +5844930376.18377 +836604000.0 \ No newline at end of file diff --git a/updatedrun/383 b/updatedrun/383 new file mode 100644 index 00000000..a6e14d60 --- /dev/null +++ b/updatedrun/383 @@ -0,0 +1,5 @@ +20 +71 +2.0 +6123712907.879373 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/384 b/updatedrun/384 new file mode 100644 index 00000000..32dffa08 --- /dev/null +++ b/updatedrun/384 @@ -0,0 +1,5 @@ +20 +71 +2.5 +6402597628.360782 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/385 b/updatedrun/385 new file mode 100644 index 00000000..abd29bf7 --- /dev/null +++ b/updatedrun/385 @@ -0,0 +1,5 @@ +20 +71 +3.0 +6681465628.360782 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/386 b/updatedrun/386 new file mode 100644 index 00000000..6988a2ab --- /dev/null +++ b/updatedrun/386 @@ -0,0 +1,5 @@ +20 +71 +3.5 +6960333628.360782 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/387 b/updatedrun/387 new file mode 100644 index 00000000..ed6d87d7 --- /dev/null +++ b/updatedrun/387 @@ -0,0 +1,5 @@ +20 +71 +4.0 +7239201628.360782 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/388 b/updatedrun/388 new file mode 100644 index 00000000..f1c22821 --- /dev/null +++ b/updatedrun/388 @@ -0,0 +1,5 @@ +20 +71 +4.5 +7518069628.360782 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/389 b/updatedrun/389 new file mode 100644 index 00000000..b30dc740 --- /dev/null +++ b/updatedrun/389 @@ -0,0 +1,5 @@ +20 +71 +5.0 +7796937628.360782 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/39 b/updatedrun/39 new file mode 100644 index 00000000..57fdfdda --- /dev/null +++ b/updatedrun/39 @@ -0,0 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100644 index 00000000..4c23e27e --- /dev/null +++ b/updatedrun/394 @@ -0,0 +1,5 @@ +20 +81 +2.5 +5691535233.99592 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/395 b/updatedrun/395 new file mode 100644 index 00000000..d9f1343d --- /dev/null +++ b/updatedrun/395 @@ -0,0 +1,5 @@ +20 +81 +3.0 +6022008437.072956 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/396 b/updatedrun/396 new file mode 100644 index 00000000..753a8882 --- /dev/null +++ b/updatedrun/396 @@ -0,0 +1,5 @@ +20 +81 +3.5 +6355495927.016089 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/397 b/updatedrun/397 new file mode 100644 index 00000000..41b0441f --- /dev/null +++ b/updatedrun/397 @@ -0,0 +1,5 @@ +20 +81 +4.0 +6689043927.016089 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/398 b/updatedrun/398 new file mode 100644 index 00000000..8a5f2c80 --- /dev/null +++ b/updatedrun/398 @@ -0,0 +1,5 @@ +20 +81 +4.5 +7022591927.016089 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/399 b/updatedrun/399 new file mode 100644 index 00000000..55bc8069 --- /dev/null +++ b/updatedrun/399 @@ -0,0 +1,5 @@ +20 +81 +5.0 +7356139927.016089 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/4 b/updatedrun/4 new file mode 100644 index 00000000..21d50001 --- /dev/null +++ b/updatedrun/4 @@ -0,0 +1,5 @@ +0 +0 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/40 b/updatedrun/40 new file mode 100644 index 00000000..49c01a5e --- /dev/null +++ b/updatedrun/40 @@ -0,0 +1,5 @@ +0 +40 +0.5 +5059886411.213952 +218720000.0 \ No newline at end of file diff --git a/updatedrun/400 b/updatedrun/400 new file mode 100644 index 00000000..a62d0bad --- /dev/null +++ b/updatedrun/400 @@ -0,0 +1,5 @@ +20 +91 +0.5 +5396150618.265395 +388228000.0 \ No newline at end of file diff --git a/updatedrun/401 b/updatedrun/401 new file mode 100644 index 00000000..471acdff --- /dev/null +++ b/updatedrun/401 @@ -0,0 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mode 100644 index 00000000..75700e64 --- /dev/null +++ b/updatedrun/406 @@ -0,0 +1,5 @@ +20 +91 +3.5 +6131726546.726735 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/407 b/updatedrun/407 new file mode 100644 index 00000000..5872a4a4 --- /dev/null +++ b/updatedrun/407 @@ -0,0 +1,5 @@ +20 +91 +4.0 +6519954546.726735 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/408 b/updatedrun/408 new file mode 100644 index 00000000..f76c13f7 --- /dev/null +++ b/updatedrun/408 @@ -0,0 +1,5 @@ +20 +91 +4.5 +6908182546.726735 +3494052000.0 \ No newline at end of file diff --git a/updatedrun/409 b/updatedrun/409 new file mode 100644 index 00000000..af2f5ae8 --- /dev/null +++ b/updatedrun/409 @@ -0,0 +1,5 @@ +20 +91 +5.0 +7296410546.726735 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/41 b/updatedrun/41 new file mode 100644 index 00000000..481472c6 --- /dev/null +++ b/updatedrun/41 @@ -0,0 +1,5 @@ +0 +40 +1.0 +5025388033.708678 +437440000.0 \ No newline at end of file diff --git a/updatedrun/410 b/updatedrun/410 new file mode 100644 index 00000000..fdd3d366 --- /dev/null +++ b/updatedrun/410 @@ -0,0 +1,5 @@ +20 +101 +0.5 +5450830618.265395 +442908000.0 \ No newline at end of file diff --git a/updatedrun/411 b/updatedrun/411 new file mode 100644 index 00000000..56e45793 --- /dev/null +++ b/updatedrun/411 @@ -0,0 +1,5 @@ +20 +101 +1.0 +5873531145.021651 +885816000.0 \ No newline at end of file diff --git a/updatedrun/412 b/updatedrun/412 new file mode 100644 index 00000000..fa9ce5e2 --- /dev/null +++ b/updatedrun/412 @@ -0,0 +1,5 @@ +20 +101 +1.5 +5488284520.340665 +1328724000.0 \ No newline at end of file diff --git a/updatedrun/413 b/updatedrun/413 new file mode 100644 index 00000000..26f5b1e8 --- /dev/null +++ b/updatedrun/413 @@ -0,0 +1,5 @@ +20 +101 +2.0 +5343331443.650534 +1771632000.0 \ No newline at end of file diff --git a/updatedrun/414 b/updatedrun/414 new file mode 100644 index 00000000..73403e52 --- /dev/null +++ b/updatedrun/414 @@ -0,0 +1,5 @@ +20 +101 +2.5 +5674793002.301011 +2214540000.0 \ No newline at end of file diff --git a/updatedrun/415 b/updatedrun/415 new file mode 100644 index 00000000..f312bce4 --- /dev/null +++ b/updatedrun/415 @@ -0,0 +1,5 @@ +20 +101 +3.0 +6081059428.240498 +2657448000.0 \ No newline at end of file diff --git a/updatedrun/416 b/updatedrun/416 new file mode 100644 index 00000000..a50c86b1 --- /dev/null +++ b/updatedrun/416 @@ -0,0 +1,5 @@ +20 +101 +3.5 +6506102572.814107 +3100356000.0 \ No newline at end of file diff --git a/updatedrun/417 b/updatedrun/417 new file mode 100644 index 00000000..00c939f2 --- /dev/null +++ b/updatedrun/417 @@ -0,0 +1,5 @@ +20 +101 +4.0 +6949010572.814107 +3543264000.0 \ No newline at end of file diff --git a/updatedrun/418 b/updatedrun/418 new file mode 100644 index 00000000..3da6e8c1 --- /dev/null +++ b/updatedrun/418 @@ -0,0 +1,5 @@ +20 +101 +4.5 +7391918572.814107 +3986172000.0 \ No newline at end of file diff --git a/updatedrun/419 b/updatedrun/419 new file mode 100644 index 00000000..df5ddf68 --- /dev/null +++ b/updatedrun/419 @@ -0,0 +1,5 @@ +20 +101 +5.0 +7834826572.814107 +4429080000.0 \ No newline at end of file diff --git a/updatedrun/42 b/updatedrun/42 new file mode 100644 index 00000000..4d307123 --- /dev/null +++ b/updatedrun/42 @@ -0,0 +1,5 @@ +0 +40 +1.5 +5216730321.504904 +656160000.0 \ No newline at end of file diff --git a/updatedrun/420 b/updatedrun/420 new file mode 100644 index 00000000..be354217 --- /dev/null +++ b/updatedrun/420 @@ -0,0 +1,5 @@ +20 +112 +0.5 +5473196055.269497 +503056000.0 \ No newline at end of file diff --git a/updatedrun/421 b/updatedrun/421 new file mode 100644 index 00000000..0b392583 --- /dev/null +++ b/updatedrun/421 @@ -0,0 +1,5 @@ +20 +112 +1.0 +5931772847.617789 +1006112000.0 \ No newline at end of file diff --git a/updatedrun/422 b/updatedrun/422 new file mode 100644 index 00000000..4a8a83f5 --- /dev/null +++ b/updatedrun/422 @@ -0,0 +1,5 @@ +20 +112 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index 00000000..ca78550b --- /dev/null +++ b/updatedrun/427 @@ -0,0 +1,5 @@ +20 +112 +4.0 +6201010910.958369 +4024448000.0 \ No newline at end of file diff --git a/updatedrun/428 b/updatedrun/428 new file mode 100644 index 00000000..7ba4031e --- /dev/null +++ b/updatedrun/428 @@ -0,0 +1,5 @@ +20 +112 +4.5 +6704066910.958369 +4527504000.0 \ No newline at end of file diff --git a/updatedrun/429 b/updatedrun/429 new file mode 100644 index 00000000..7216c97e --- /dev/null +++ b/updatedrun/429 @@ -0,0 +1,5 @@ +20 +112 +5.0 +7207122910.958369 +5030560000.0 \ No newline at end of file diff --git a/updatedrun/43 b/updatedrun/43 new file mode 100644 index 00000000..38340b2b --- /dev/null +++ b/updatedrun/43 @@ -0,0 +1,5 @@ +0 +40 +2.0 +5418602966.96064 +874880000.0 \ No newline at end of file diff --git a/updatedrun/430 b/updatedrun/430 new file mode 100644 index 00000000..65552f2d --- /dev/null +++ b/updatedrun/430 @@ -0,0 +1,5 @@ +20 +122 +0.5 +5526038541.618585 +557736000.0 \ No newline at end of file diff --git a/updatedrun/431 b/updatedrun/431 new file mode 100644 index 00000000..a4795bfa --- /dev/null +++ b/updatedrun/431 @@ -0,0 +1,5 @@ +20 +122 +1.0 +6036380643.093689 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/432 b/updatedrun/432 new file mode 100644 index 00000000..1a3d1749 --- /dev/null +++ b/updatedrun/432 @@ -0,0 +1,5 @@ +20 +122 +1.5 +5865118068.727721 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/433 b/updatedrun/433 new file mode 100644 index 00000000..feae7e3c --- /dev/null +++ b/updatedrun/433 @@ -0,0 +1,5 @@ +20 +122 +2.0 +4630742788.085051 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/434 b/updatedrun/434 new file mode 100644 index 00000000..6ba8d063 --- /dev/null +++ b/updatedrun/434 @@ -0,0 +1,5 @@ +20 +122 +2.5 +4813792753.493948 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/435 b/updatedrun/435 new file mode 100644 index 00000000..3b314f23 --- /dev/null +++ b/updatedrun/435 @@ -0,0 +1,5 @@ +20 +122 +3.0 +5277280173.893128 +3346416000.0 \ No newline at end of file diff --git a/updatedrun/436 b/updatedrun/436 new file mode 100644 index 00000000..69ed71b6 --- /dev/null +++ b/updatedrun/436 @@ -0,0 +1,5 @@ +20 +122 +3.5 +5679931952.443269 +3904152000.0 \ No newline at end of file diff --git a/updatedrun/437 b/updatedrun/437 new file mode 100644 index 00000000..e39cdc15 --- /dev/null +++ b/updatedrun/437 @@ -0,0 +1,5 @@ +20 +122 +4.0 +6237667952.44327 +4461888000.0 \ No newline at end of file diff --git a/updatedrun/438 b/updatedrun/438 new file mode 100644 index 00000000..42c36af9 --- /dev/null +++ b/updatedrun/438 @@ -0,0 +1,5 @@ +20 +122 +4.5 +6795403952.44327 +5019624000.0 \ No newline at end of file diff --git a/updatedrun/439 b/updatedrun/439 new file mode 100644 index 00000000..93bb98d9 --- /dev/null +++ b/updatedrun/439 @@ -0,0 +1,5 @@ +20 +122 +5.0 +7353139952.44327 +5577360000.0 \ No newline at end of file diff --git a/updatedrun/44 b/updatedrun/44 new file mode 100644 index 00000000..a9c6094c --- /dev/null +++ b/updatedrun/44 @@ -0,0 +1,5 @@ +0 +40 +2.5 +5637298443.625318 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/440 b/updatedrun/440 new file mode 100644 index 00000000..7092eb8f --- /dev/null +++ b/updatedrun/440 @@ -0,0 +1,5 @@ +20 +132 +0.5 +5577090151.497997 +612416000.0 \ No newline at end of file diff --git a/updatedrun/441 b/updatedrun/441 new file mode 100644 index 00000000..9128c513 --- /dev/null +++ b/updatedrun/441 @@ -0,0 +1,5 @@ +20 +132 +1.0 +6139251690.833475 +1224832000.0 \ No newline at end of file diff --git a/updatedrun/442 b/updatedrun/442 new file mode 100644 index 00000000..665eabd2 --- /dev/null +++ b/updatedrun/442 @@ -0,0 +1,5 @@ +20 +132 +1.5 +6019538329.015191 +1837248000.0 \ No newline at end of file diff --git a/updatedrun/443 b/updatedrun/443 new file mode 100644 index 00000000..7284dec1 --- /dev/null +++ b/updatedrun/443 @@ -0,0 +1,5 @@ +20 +132 +2.0 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00000000..d0273b79 --- /dev/null +++ b/updatedrun/448 @@ -0,0 +1,5 @@ +20 +132 +4.5 +7254534752.015566 +5511744000.0 \ No newline at end of file diff --git a/updatedrun/449 b/updatedrun/449 new file mode 100644 index 00000000..36ad039c --- /dev/null +++ b/updatedrun/449 @@ -0,0 +1,5 @@ +20 +132 +5.0 +7866950752.015566 +6124160000.0 \ No newline at end of file diff --git a/updatedrun/45 b/updatedrun/45 new file mode 100644 index 00000000..96c4d831 --- /dev/null +++ b/updatedrun/45 @@ -0,0 +1,5 @@ +0 +40 +3.0 +5856018443.625318 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/450 b/updatedrun/450 new file mode 100644 index 00000000..036e09b4 --- /dev/null +++ b/updatedrun/450 @@ -0,0 +1,5 @@ +20 +142 +0.5 +5577253372.419296 +667096000.0 \ No newline at end of file diff --git a/updatedrun/451 b/updatedrun/451 new file mode 100644 index 00000000..deba3a9b --- /dev/null +++ b/updatedrun/451 @@ -0,0 +1,5 @@ +20 +142 +1.0 +6178508812.441404 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/452 b/updatedrun/452 new file mode 100644 index 00000000..b0cb5419 --- /dev/null +++ b/updatedrun/452 @@ -0,0 +1,5 @@ +20 +142 +1.5 +6106796576.408412 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/453 b/updatedrun/453 new file mode 100644 index 00000000..12ed6a8e --- /dev/null +++ b/updatedrun/453 @@ -0,0 +1,5 @@ +20 +142 +2.0 +4950767986.218812 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/454 b/updatedrun/454 new file mode 100644 index 00000000..4601f42b --- /dev/null +++ b/updatedrun/454 @@ -0,0 +1,5 @@ +20 +142 +2.5 +5226401739.057056 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/455 b/updatedrun/455 new file mode 100644 index 00000000..a9724f16 --- /dev/null +++ b/updatedrun/455 @@ -0,0 +1,5 @@ +20 +142 +3.0 +5798909071.2973795 +4002576000.0 \ No newline at end of file diff --git a/updatedrun/456 b/updatedrun/456 new file mode 100644 index 00000000..7a2f7606 --- /dev/null +++ b/updatedrun/456 @@ -0,0 +1,5 @@ +20 +142 +3.5 +6305690452.469671 +4669672000.0 \ No newline at end of file diff --git a/updatedrun/457 b/updatedrun/457 new file mode 100644 index 00000000..1c482d2e --- /dev/null +++ b/updatedrun/457 @@ -0,0 +1,5 @@ +20 +142 +4.0 +6972786452.469671 +5336768000.0 \ No newline at end of file diff --git a/updatedrun/458 b/updatedrun/458 new file mode 100644 index 00000000..71a72c3c --- /dev/null +++ b/updatedrun/458 @@ -0,0 +1,5 @@ +20 +142 +4.5 +7639882452.469671 +6003864000.0 \ No newline at end of file diff --git a/updatedrun/459 b/updatedrun/459 new file mode 100644 index 00000000..a1690db1 --- /dev/null +++ b/updatedrun/459 @@ -0,0 +1,5 @@ +20 +142 +5.0 +8306978452.469671 +6670960000.0 \ No newline at end of file diff --git a/updatedrun/46 b/updatedrun/46 new file mode 100644 index 00000000..6207008b --- /dev/null +++ b/updatedrun/46 @@ -0,0 +1,5 @@ +0 +40 +3.5 +6074738443.625318 +1531040000.0 \ No newline at end of file diff --git a/updatedrun/460 b/updatedrun/460 new file mode 100644 index 00000000..0ea078f4 --- /dev/null +++ b/updatedrun/460 @@ -0,0 +1,5 @@ +20 +152 +0.5 +5425497672.027852 +721776000.0 \ No newline at end of file diff --git a/updatedrun/461 b/updatedrun/461 new file mode 100644 index 00000000..d75ae96a --- /dev/null +++ b/updatedrun/461 @@ -0,0 +1,5 @@ +20 +152 +1.0 +5997337506.960464 +1443552000.0 \ No newline at end of file diff --git a/updatedrun/462 b/updatedrun/462 new file mode 100644 index 00000000..2a5ab7f5 --- /dev/null +++ b/updatedrun/462 @@ -0,0 +1,5 @@ +20 +152 +1.5 +5964031390.329319 +2165328000.0 \ No newline at end of file diff --git a/updatedrun/463 b/updatedrun/463 new file mode 100644 index 00000000..c712e4bb --- /dev/null +++ b/updatedrun/463 @@ -0,0 +1,5 @@ +20 +152 +2.0 +4861208232.2227335 +2887104000.0 \ No newline at end of file diff --git a/updatedrun/464 b/updatedrun/464 new file mode 100644 index 00000000..d42be18f --- /dev/null +++ b/updatedrun/464 @@ -0,0 +1,5 @@ +20 +152 +2.5 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00000000..28f32fee --- /dev/null +++ b/updatedrun/469 @@ -0,0 +1,5 @@ +20 +152 +5.0 +8544732152.058734 +7217760000.0 \ No newline at end of file diff --git a/updatedrun/47 b/updatedrun/47 new file mode 100644 index 00000000..f83acc4f --- /dev/null +++ b/updatedrun/47 @@ -0,0 +1,5 @@ +0 +40 +4.0 +6293458443.625318 +1749760000.0 \ No newline at end of file diff --git a/updatedrun/470 b/updatedrun/470 new file mode 100644 index 00000000..fe4102dc --- /dev/null +++ b/updatedrun/470 @@ -0,0 +1,5 @@ +20 +163 +0.5 +5128613426.769433 +781924000.0 \ No newline at end of file diff --git a/updatedrun/471 b/updatedrun/471 new file mode 100644 index 00000000..392843ba --- /dev/null +++ b/updatedrun/471 @@ -0,0 +1,5 @@ +20 +163 +1.0 +5674113666.111053 +1563848000.0 \ No newline at end of file diff --git a/updatedrun/472 b/updatedrun/472 new file mode 100644 index 00000000..854fd7dd --- /dev/null +++ b/updatedrun/472 @@ -0,0 +1,5 @@ +20 +163 +1.5 +5624827110.405374 +2345772000.0 \ No newline at end of file diff --git a/updatedrun/473 b/updatedrun/473 new file mode 100644 index 00000000..c70aa2d0 --- /dev/null +++ b/updatedrun/473 @@ -0,0 +1,5 @@ +20 +163 +2.0 +4443491002.303089 +3127696000.0 \ No newline at end of file diff --git a/updatedrun/474 b/updatedrun/474 new file mode 100644 index 00000000..7ce545b2 --- /dev/null +++ b/updatedrun/474 @@ -0,0 +1,5 @@ +20 +163 +2.5 +4836857527.594401 +3909620000.0 \ No newline at end of file diff --git a/updatedrun/475 b/updatedrun/475 new file mode 100644 index 00000000..c476ad99 --- /dev/null +++ b/updatedrun/475 @@ -0,0 +1,5 @@ +20 +163 +3.0 +5525499775.2305975 +4691544000.0 \ No newline at end of file diff --git a/updatedrun/476 b/updatedrun/476 new file mode 100644 index 00000000..abcf673d --- /dev/null +++ b/updatedrun/476 @@ -0,0 +1,5 @@ +20 +163 +3.5 +6145924601.945289 +5473468000.0 \ No newline at end of file diff --git a/updatedrun/477 b/updatedrun/477 new file mode 100644 index 00000000..6627c7e4 --- /dev/null +++ b/updatedrun/477 @@ -0,0 +1,5 @@ +20 +163 +4.0 +6927848601.945289 +6255392000.0 \ No newline at end of file diff --git a/updatedrun/478 b/updatedrun/478 new file mode 100644 index 00000000..c956ba91 --- /dev/null +++ b/updatedrun/478 @@ -0,0 +1,5 @@ +20 +163 +4.5 +7709772601.945289 +7037316000.0 \ No newline at end of file diff --git a/updatedrun/479 b/updatedrun/479 new file mode 100644 index 00000000..99ed7f7f --- /dev/null +++ b/updatedrun/479 @@ -0,0 +1,5 @@ +20 +163 +5.0 +8491696601.945289 +7819240000.0 \ No newline at end of file diff --git a/updatedrun/48 b/updatedrun/48 new file mode 100644 index 00000000..af951aab --- /dev/null +++ b/updatedrun/48 @@ -0,0 +1,5 @@ +0 +40 +4.5 +6512178443.625318 +1968480000.0 \ No newline at end of file diff --git a/updatedrun/480 b/updatedrun/480 new file mode 100644 index 00000000..09b5d1e3 --- /dev/null +++ b/updatedrun/480 @@ -0,0 +1,5 @@ +30 +30 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/481 b/updatedrun/481 new file mode 100644 index 00000000..e793b9ac --- /dev/null +++ b/updatedrun/481 @@ -0,0 +1,5 @@ +30 +30 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/482 b/updatedrun/482 new file mode 100644 index 00000000..024c5c62 --- /dev/null +++ b/updatedrun/482 @@ -0,0 +1,5 @@ +30 +30 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/483 b/updatedrun/483 new file mode 100644 index 00000000..af5d0462 --- /dev/null +++ b/updatedrun/483 @@ -0,0 +1,5 @@ +30 +30 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/484 b/updatedrun/484 new file mode 100644 index 00000000..2d032f8d --- /dev/null +++ b/updatedrun/484 @@ -0,0 +1,5 @@ +30 +30 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/485 b/updatedrun/485 new file mode 100644 index 00000000..877fc5e6 --- /dev/null +++ b/updatedrun/485 @@ -0,0 +1,5 @@ +30 +30 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/486 b/updatedrun/486 new file mode 100644 index 00000000..85613d54 --- /dev/null +++ b/updatedrun/486 @@ -0,0 +1,5 @@ +30 +30 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/487 b/updatedrun/487 new file mode 100644 index 00000000..91cc2e64 --- /dev/null +++ b/updatedrun/487 @@ -0,0 +1,5 @@ +30 +30 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/488 b/updatedrun/488 new file mode 100644 index 00000000..83910697 --- /dev/null +++ b/updatedrun/488 @@ -0,0 +1,5 @@ +30 +30 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/489 b/updatedrun/489 new file mode 100644 index 00000000..5f23e559 --- /dev/null +++ b/updatedrun/489 @@ -0,0 +1,5 @@ +30 +30 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/49 b/updatedrun/49 new file mode 100644 index 00000000..fb905ccc --- /dev/null +++ b/updatedrun/49 @@ -0,0 +1,5 @@ +0 +40 +5.0 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00000000..5bdac497 --- /dev/null +++ b/updatedrun/494 @@ -0,0 +1,5 @@ +30 +40 +2.5 +5282130390.475048 +273400000.0 \ No newline at end of file diff --git a/updatedrun/495 b/updatedrun/495 new file mode 100644 index 00000000..af44914e --- /dev/null +++ b/updatedrun/495 @@ -0,0 +1,5 @@ +30 +40 +3.0 +5336810390.475048 +328080000.0 \ No newline at end of file diff --git a/updatedrun/496 b/updatedrun/496 new file mode 100644 index 00000000..1744b92c --- /dev/null +++ b/updatedrun/496 @@ -0,0 +1,5 @@ +30 +40 +3.5 +5391490390.475048 +382760000.0 \ No newline at end of file diff --git a/updatedrun/497 b/updatedrun/497 new file mode 100644 index 00000000..74ba5521 --- /dev/null +++ b/updatedrun/497 @@ -0,0 +1,5 @@ +30 +40 +4.0 +5446170390.475048 +437440000.0 \ No newline at end of file diff --git a/updatedrun/498 b/updatedrun/498 new file mode 100644 index 00000000..f9695130 --- /dev/null +++ b/updatedrun/498 @@ -0,0 +1,5 @@ +30 +40 +4.5 +5500850390.475048 +492120000.0 \ No newline at end of file diff --git a/updatedrun/499 b/updatedrun/499 new file mode 100644 index 00000000..a24f369a --- /dev/null +++ b/updatedrun/499 @@ -0,0 +1,5 @@ +30 +40 +5.0 +5555530390.475048 +546800000.0 \ No newline at end of file diff --git a/updatedrun/5 b/updatedrun/5 new file mode 100644 index 00000000..6b602553 --- /dev/null +++ b/updatedrun/5 @@ -0,0 +1,5 @@ +0 +0 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/50 b/updatedrun/50 new file mode 100644 index 00000000..7c231722 --- /dev/null +++ b/updatedrun/50 @@ -0,0 +1,5 @@ +0 +50 +0.5 +5114565438.65788 +273400000.0 \ No newline at end of file diff --git a/updatedrun/500 b/updatedrun/500 new file mode 100644 index 00000000..511416d9 --- /dev/null +++ b/updatedrun/500 @@ -0,0 +1,5 @@ +30 +50 +0.5 +5118089938.706059 +109360000.0 \ No newline at end of file diff --git a/updatedrun/501 b/updatedrun/501 new file mode 100644 index 00000000..ebd453bc --- /dev/null +++ b/updatedrun/501 @@ -0,0 +1,5 @@ +30 +50 +1.0 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00000000..6e9c0ccc --- /dev/null +++ b/updatedrun/506 @@ -0,0 +1,5 @@ +30 +50 +3.5 +5774249938.706059 +765520000.0 \ No newline at end of file diff --git a/updatedrun/507 b/updatedrun/507 new file mode 100644 index 00000000..7b207a26 --- /dev/null +++ b/updatedrun/507 @@ -0,0 +1,5 @@ +30 +50 +4.0 +5883609938.706059 +874880000.0 \ No newline at end of file diff --git a/updatedrun/508 b/updatedrun/508 new file mode 100644 index 00000000..79bdbb4d --- /dev/null +++ b/updatedrun/508 @@ -0,0 +1,5 @@ +30 +50 +4.5 +5992969938.706059 +984240000.0 \ No newline at end of file diff --git a/updatedrun/509 b/updatedrun/509 new file mode 100644 index 00000000..7712f812 --- /dev/null +++ b/updatedrun/509 @@ -0,0 +1,5 @@ +30 +50 +5.0 +6102329938.706059 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/51 b/updatedrun/51 new file mode 100644 index 00000000..039d7395 --- /dev/null +++ b/updatedrun/51 @@ -0,0 +1,5 @@ +0 +50 +1.0 +5134705910.853695 +546800000.0 \ No newline at end of file diff --git a/updatedrun/510 b/updatedrun/510 new file mode 100644 index 00000000..61250af2 --- /dev/null +++ b/updatedrun/510 @@ -0,0 +1,5 @@ +30 +61 +0.5 +5178237938.706059 +169508000.0 \ No newline at end of file diff --git a/updatedrun/511 b/updatedrun/511 new file mode 100644 index 00000000..242248cb --- /dev/null +++ b/updatedrun/511 @@ -0,0 +1,5 @@ +30 +61 +1.0 +5347745938.706059 +339016000.0 \ No newline at end of file diff --git a/updatedrun/512 b/updatedrun/512 new file mode 100644 index 00000000..df033748 --- /dev/null +++ b/updatedrun/512 @@ -0,0 +1,5 @@ +30 +61 +1.5 +5517039586.049693 +508524000.0 \ No newline at end of file diff --git a/updatedrun/513 b/updatedrun/513 new file mode 100644 index 00000000..8b83a3fc --- /dev/null +++ b/updatedrun/513 @@ -0,0 +1,5 @@ +30 +61 +2.0 +5686510786.476136 +678032000.0 \ No newline at end of file diff --git a/updatedrun/514 b/updatedrun/514 new file mode 100644 index 00000000..4e1f133e --- /dev/null +++ b/updatedrun/514 @@ -0,0 +1,5 @@ +30 +61 +2.5 +5856018786.476136 +847540000.0 \ No newline at end of file diff --git a/updatedrun/515 b/updatedrun/515 new file mode 100644 index 00000000..8736f2e0 --- /dev/null +++ b/updatedrun/515 @@ -0,0 +1,5 @@ +30 +61 +3.0 +6025526786.476136 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/516 b/updatedrun/516 new file mode 100644 index 00000000..80b9979d --- /dev/null +++ b/updatedrun/516 @@ -0,0 +1,5 @@ +30 +61 +3.5 +6195034786.476136 +1186556000.0 \ No newline at end of file diff --git a/updatedrun/517 b/updatedrun/517 new file mode 100644 index 00000000..32b5f0f1 --- /dev/null +++ b/updatedrun/517 @@ -0,0 +1,5 @@ +30 +61 +4.0 +6364542786.476136 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/518 b/updatedrun/518 new file mode 100644 index 00000000..dc4e5b7e --- /dev/null +++ b/updatedrun/518 @@ -0,0 +1,5 @@ +30 +61 +4.5 +6534050786.476136 +1525572000.0 \ No newline at end of file diff --git a/updatedrun/519 b/updatedrun/519 new file mode 100644 index 00000000..76ae797a --- /dev/null +++ b/updatedrun/519 @@ -0,0 +1,5 @@ +30 +61 +5.0 +6703558786.476136 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/52 b/updatedrun/52 new file mode 100644 index 00000000..6d91914d --- /dev/null +++ b/updatedrun/52 @@ -0,0 +1,5 @@ +0 +50 +1.5 +5380757470.84481 +820200000.0 \ No newline at end of file diff --git a/updatedrun/520 b/updatedrun/520 new file mode 100644 index 00000000..f2d1d678 --- /dev/null +++ b/updatedrun/520 @@ -0,0 +1,5 @@ +30 +71 +0.5 +5232917938.706059 +224188000.0 \ No newline at end of file diff --git a/updatedrun/521 b/updatedrun/521 new file mode 100644 index 00000000..cde84467 --- /dev/null +++ b/updatedrun/521 @@ -0,0 +1,5 @@ +30 +71 +1.0 +5457105938.706059 +448376000.0 \ No newline at end of file diff --git a/updatedrun/522 b/updatedrun/522 new file mode 100644 index 00000000..6a13bfef --- /dev/null +++ b/updatedrun/522 @@ -0,0 +1,5 @@ +30 +71 +1.5 +5681043836.611825 +672564000.0 \ No newline at end of file diff --git a/updatedrun/523 b/updatedrun/523 new file mode 100644 index 00000000..435b95b5 --- /dev/null +++ b/updatedrun/523 @@ -0,0 +1,5 @@ +30 +71 +2.0 +5905193699.871784 +896752000.0 \ No newline at end of file diff --git a/updatedrun/524 b/updatedrun/524 new file mode 100644 index 00000000..2539107f --- /dev/null +++ b/updatedrun/524 @@ -0,0 +1,5 @@ +30 +71 +2.5 +6129381699.871784 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/525 b/updatedrun/525 new file mode 100644 index 00000000..a4b7e222 --- /dev/null +++ b/updatedrun/525 @@ -0,0 +1,5 @@ +30 +71 +3.0 +6353569699.871784 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/526 b/updatedrun/526 new file mode 100644 index 00000000..625b9c4a --- /dev/null +++ b/updatedrun/526 @@ -0,0 +1,5 @@ +30 +71 +3.5 +6577757699.871784 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/527 b/updatedrun/527 new file mode 100644 index 00000000..30dcc370 --- /dev/null +++ b/updatedrun/527 @@ -0,0 +1,5 @@ +30 +71 +4.0 +6801945699.871784 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/528 b/updatedrun/528 new file mode 100644 index 00000000..60ea4c27 --- /dev/null +++ b/updatedrun/528 @@ -0,0 +1,5 @@ +30 +71 +4.5 +7026133699.871784 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/529 b/updatedrun/529 new file mode 100644 index 00000000..f9e0ac64 --- /dev/null +++ b/updatedrun/529 @@ -0,0 +1,5 @@ +30 +71 +5.0 +7250321699.871784 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/53 b/updatedrun/53 new file mode 100644 index 00000000..ff7c4652 --- /dev/null +++ b/updatedrun/53 @@ -0,0 +1,5 @@ +0 +50 +2.0 +5637320205.767531 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/530 b/updatedrun/530 new file mode 100644 index 00000000..f4834e95 --- /dev/null +++ b/updatedrun/530 @@ -0,0 +1,5 @@ +30 +81 +0.5 +5287561948.50877 +278868000.0 \ No newline at end of file diff --git a/updatedrun/531 b/updatedrun/531 new file mode 100644 index 00000000..3d3d2024 --- /dev/null +++ b/updatedrun/531 @@ -0,0 +1,5 @@ +30 +81 +1.0 +5548510156.214358 +557736000.0 \ No newline at end of file diff --git a/updatedrun/532 b/updatedrun/532 new file mode 100644 index 00000000..7d1a2469 --- /dev/null +++ b/updatedrun/532 @@ -0,0 +1,5 @@ +30 +81 +1.5 +5248285193.61987 +836604000.0 \ No newline at end of file diff --git a/updatedrun/533 b/updatedrun/533 new file mode 100644 index 00000000..0415488d --- /dev/null +++ b/updatedrun/533 @@ -0,0 +1,5 @@ +30 +81 +2.0 +5193078198.044571 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/534 b/updatedrun/534 new file mode 100644 index 00000000..be0c5b07 --- /dev/null +++ b/updatedrun/534 @@ -0,0 +1,5 @@ +30 +81 +2.5 +5455137179.918411 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/535 b/updatedrun/535 new file mode 100644 index 00000000..03b80192 --- /dev/null +++ b/updatedrun/535 @@ -0,0 +1,5 @@ +30 +81 +3.0 +5733702344.368671 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/536 b/updatedrun/536 new file mode 100644 index 00000000..1fff7a9f --- /dev/null +++ b/updatedrun/536 @@ -0,0 +1,5 @@ +30 +81 +3.5 +6012570344.368671 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/537 b/updatedrun/537 new file mode 100644 index 00000000..19a7dd93 --- /dev/null +++ b/updatedrun/537 @@ -0,0 +1,5 @@ +30 +81 +4.0 +6291438344.368671 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/538 b/updatedrun/538 new file mode 100644 index 00000000..4b322099 --- /dev/null +++ b/updatedrun/538 @@ -0,0 +1,5 @@ +30 +81 +4.5 +6570306344.368671 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/539 b/updatedrun/539 new file mode 100644 index 00000000..e5e58224 --- /dev/null +++ b/updatedrun/539 @@ -0,0 +1,5 @@ +30 +81 +5.0 +6849174344.36867 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/54 b/updatedrun/54 new file mode 100644 index 00000000..fa3c9d38 --- /dev/null +++ b/updatedrun/54 @@ -0,0 +1,5 @@ +0 +50 +2.5 +5910695723.359253 +1367000000.0 \ No newline at end of file diff --git a/updatedrun/540 b/updatedrun/540 new file mode 100644 index 00000000..fb38197f --- /dev/null +++ b/updatedrun/540 @@ -0,0 +1,5 @@ +30 +91 +0.5 +5341614213.350046 +333548000.0 \ No newline at end of file diff --git a/updatedrun/541 b/updatedrun/541 new file mode 100644 index 00000000..9ebebcd7 --- /dev/null +++ b/updatedrun/541 @@ -0,0 +1,5 @@ +30 +91 +1.0 +5655776593.272848 +667096000.0 \ No newline at end of file diff --git a/updatedrun/542 b/updatedrun/542 new file mode 100644 index 00000000..e8bfa516 --- /dev/null +++ b/updatedrun/542 @@ -0,0 +1,5 @@ +30 +91 +1.5 +5176850363.557602 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/543 b/updatedrun/543 new file mode 100644 index 00000000..a7b47c54 --- /dev/null +++ b/updatedrun/543 @@ -0,0 +1,5 @@ +30 +91 +2.0 +5085703493.015019 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/544 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00000000..fda1cbfb --- /dev/null +++ b/updatedrun/552 @@ -0,0 +1,5 @@ +30 +101 +1.5 +5340890363.557602 +1164684000.0 \ No newline at end of file diff --git a/updatedrun/553 b/updatedrun/553 new file mode 100644 index 00000000..4f9cd632 --- /dev/null +++ b/updatedrun/553 @@ -0,0 +1,5 @@ +30 +101 +2.0 +5304423493.015019 +1552912000.0 \ No newline at end of file diff --git a/updatedrun/554 b/updatedrun/554 new file mode 100644 index 00000000..7b97b61d --- /dev/null +++ b/updatedrun/554 @@ -0,0 +1,5 @@ +30 +101 +2.5 +5640003215.616166 +1941140000.0 \ No newline at end of file diff --git a/updatedrun/555 b/updatedrun/555 new file mode 100644 index 00000000..24f14c80 --- /dev/null +++ b/updatedrun/555 @@ -0,0 +1,5 @@ +30 +101 +3.0 +6023089269.880164 +2329368000.0 \ No newline at end of file diff --git a/updatedrun/556 b/updatedrun/556 new file mode 100644 index 00000000..44e5d082 --- /dev/null +++ b/updatedrun/556 @@ -0,0 +1,5 @@ +30 +101 +3.5 +6411134493.662016 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/557 b/updatedrun/557 new file mode 100644 index 00000000..aef22fad --- /dev/null +++ b/updatedrun/557 @@ -0,0 +1,5 @@ +30 +101 +4.0 +6799362493.662016 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/558 b/updatedrun/558 new file mode 100644 index 00000000..3a898f54 --- /dev/null +++ b/updatedrun/558 @@ -0,0 +1,5 @@ +30 +101 +4.5 +7187590493.662016 +3494052000.0 \ No newline at end of file diff --git a/updatedrun/559 b/updatedrun/559 new file mode 100644 index 00000000..f0561f8b --- /dev/null +++ b/updatedrun/559 @@ -0,0 +1,5 @@ +30 +101 +5.0 +7575818493.662016 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/56 b/updatedrun/56 new file mode 100644 index 00000000..a1463186 --- /dev/null +++ b/updatedrun/56 @@ -0,0 +1,5 @@ +0 +50 +3.5 +6457495723.359253 +1913800000.0 \ No newline at end of file diff --git a/updatedrun/560 b/updatedrun/560 new file mode 100644 index 00000000..317c4632 --- /dev/null +++ b/updatedrun/560 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end of file diff --git a/updatedrun/578 b/updatedrun/578 new file mode 100644 index 00000000..62b60856 --- /dev/null +++ b/updatedrun/578 @@ -0,0 +1,5 @@ +30 +122 +4.5 +6606081868.454006 +4527504000.0 \ No newline at end of file diff --git a/updatedrun/579 b/updatedrun/579 new file mode 100644 index 00000000..5a21fdf8 --- /dev/null +++ b/updatedrun/579 @@ -0,0 +1,5 @@ +30 +122 +5.0 +7109137868.454006 +5030560000.0 \ No newline at end of file diff --git a/updatedrun/58 b/updatedrun/58 new file mode 100644 index 00000000..4d297d53 --- /dev/null +++ b/updatedrun/58 @@ -0,0 +1,5 @@ +0 +50 +4.5 +7004295723.359253 +2460600000.0 \ No newline at end of file diff --git a/updatedrun/580 b/updatedrun/580 new file mode 100644 index 00000000..2a550e08 --- /dev/null +++ b/updatedrun/580 @@ -0,0 +1,5 @@ +30 +132 +0.5 +5522553440.175252 +557736000.0 \ No newline at end of file diff --git a/updatedrun/581 b/updatedrun/581 new file mode 100644 index 00000000..eff9dc87 --- /dev/null +++ b/updatedrun/581 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00000000..82ebe9a0 --- /dev/null +++ b/updatedrun/594 @@ -0,0 +1,5 @@ +30 +142 +2.5 +5191022066.311236 +3062080000.0 \ No newline at end of file diff --git a/updatedrun/595 b/updatedrun/595 new file mode 100644 index 00000000..1d0606bd --- /dev/null +++ b/updatedrun/595 @@ -0,0 +1,5 @@ +30 +142 +3.0 +5739030069.356736 +3674496000.0 \ No newline at end of file diff --git a/updatedrun/596 b/updatedrun/596 new file mode 100644 index 00000000..2c1b6c1e --- /dev/null +++ b/updatedrun/596 @@ -0,0 +1,5 @@ +30 +142 +3.5 +6225189816.931836 +4286912000.0 \ No newline at end of file diff --git a/updatedrun/597 b/updatedrun/597 new file mode 100644 index 00000000..a2a2cae6 --- /dev/null +++ b/updatedrun/597 @@ -0,0 +1,5 @@ +30 +142 +4.0 +6837605816.931836 +4899328000.0 \ No newline at end of file diff --git a/updatedrun/598 b/updatedrun/598 new file mode 100644 index 00000000..dbf05a9b --- /dev/null +++ b/updatedrun/598 @@ -0,0 +1,5 @@ +30 +142 +4.5 +7450021816.931836 +5511744000.0 \ No newline at end of file diff --git a/updatedrun/599 b/updatedrun/599 new file mode 100644 index 00000000..866088d6 --- /dev/null +++ b/updatedrun/599 @@ -0,0 +1,5 @@ +30 +142 +5.0 +8062437816.931836 +6124160000.0 \ No newline at end of file diff --git a/updatedrun/6 b/updatedrun/6 new file mode 100644 index 00000000..784099f7 --- /dev/null +++ b/updatedrun/6 @@ -0,0 +1,5 @@ +0 +0 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/60 b/updatedrun/60 new file mode 100644 index 00000000..23e21553 --- /dev/null +++ b/updatedrun/60 @@ -0,0 +1,5 @@ +0 +61 +0.5 +5174713438.65788 +333548000.0 \ No newline at end of file diff --git a/updatedrun/600 b/updatedrun/600 new file mode 100644 index 00000000..25cb7da3 --- /dev/null +++ b/updatedrun/600 @@ -0,0 +1,5 @@ +30 +152 +0.5 +5370959119.878122 +667096000.0 \ No newline at end of file diff --git a/updatedrun/601 b/updatedrun/601 new file mode 100644 index 00000000..167e4599 --- /dev/null +++ b/updatedrun/601 @@ -0,0 +1,5 @@ +30 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100644 index 00000000..835fde7d --- /dev/null +++ b/updatedrun/606 @@ -0,0 +1,5 @@ +30 +152 +3.5 +6298073173.739472 +4669672000.0 \ No newline at end of file diff --git a/updatedrun/607 b/updatedrun/607 new file mode 100644 index 00000000..19ecb252 --- /dev/null +++ b/updatedrun/607 @@ -0,0 +1,5 @@ +30 +152 +4.0 +6965169173.739472 +5336768000.0 \ No newline at end of file diff --git a/updatedrun/608 b/updatedrun/608 new file mode 100644 index 00000000..24d49d97 --- /dev/null +++ b/updatedrun/608 @@ -0,0 +1,5 @@ +30 +152 +4.5 +7632265173.739472 +6003864000.0 \ No newline at end of file diff --git a/updatedrun/609 b/updatedrun/609 new file mode 100644 index 00000000..9bc1ae64 --- /dev/null +++ b/updatedrun/609 @@ -0,0 +1,5 @@ +30 +152 +5.0 +8299361173.739472 +6670960000.0 \ No newline at end of file diff --git a/updatedrun/61 b/updatedrun/61 new file mode 100644 index 00000000..400fbca1 --- /dev/null +++ b/updatedrun/61 @@ -0,0 +1,5 @@ +0 +61 +1.0 +5254791599.403452 +667096000.0 \ No newline at end of file diff --git a/updatedrun/610 b/updatedrun/610 new file mode 100644 index 00000000..54596345 --- /dev/null +++ b/updatedrun/610 @@ -0,0 +1,5 @@ +30 +163 +0.5 +5074074272.441347 +727244000.0 \ No newline at end of file diff --git a/updatedrun/611 b/updatedrun/611 new file mode 100644 index 00000000..8865b6b1 --- /dev/null +++ b/updatedrun/611 @@ -0,0 +1,5 @@ +30 +163 +1.0 +5565703829.343497 +1454488000.0 \ No newline at end of file diff --git a/updatedrun/612 b/updatedrun/612 new file mode 100644 index 00000000..c506942f --- /dev/null +++ b/updatedrun/612 @@ -0,0 +1,5 @@ +30 +163 +1.5 +5477399540.983415 +2181732000.0 \ No newline at end of file diff --git a/updatedrun/613 b/updatedrun/613 new file mode 100644 index 00000000..09176f93 --- /dev/null +++ b/updatedrun/613 @@ -0,0 +1,5 @@ +30 +163 +2.0 +4406889505.838729 +2908976000.0 \ No newline at end of file diff --git a/updatedrun/614 b/updatedrun/614 new file mode 100644 index 00000000..0032d5c4 --- /dev/null +++ b/updatedrun/614 @@ -0,0 +1,5 @@ +30 +163 +2.5 +4799437483.730893 +3636220000.0 \ No newline at end of file diff --git a/updatedrun/615 b/updatedrun/615 new file mode 100644 index 00000000..39596d40 --- /dev/null +++ b/updatedrun/615 @@ -0,0 +1,5 @@ +30 +163 +3.0 +5463142362.961987 +4363464000.0 \ No newline at end of file diff --git a/updatedrun/616 b/updatedrun/616 new file mode 100644 index 00000000..91af6107 --- /dev/null +++ b/updatedrun/616 @@ -0,0 +1,5 @@ +30 +163 +3.5 +6062002458.740587 +5090708000.0 \ No newline at end of file diff --git a/updatedrun/617 b/updatedrun/617 new file mode 100644 index 00000000..ece6cca4 --- /dev/null +++ b/updatedrun/617 @@ -0,0 +1,5 @@ +30 +163 +4.0 +6789246458.740587 +5817952000.0 \ No newline at end of file diff --git a/updatedrun/618 b/updatedrun/618 new file mode 100644 index 00000000..fba97d15 --- /dev/null +++ b/updatedrun/618 @@ -0,0 +1,5 @@ +30 +163 +4.5 +7516490458.740587 +6545196000.0 \ No newline at end of file diff --git a/updatedrun/619 b/updatedrun/619 new file mode 100644 index 00000000..7626aaa0 --- /dev/null +++ b/updatedrun/619 @@ -0,0 +1,5 @@ +30 +163 +5.0 +8243734458.740587 +7272440000.0 \ No newline at end of file diff --git a/updatedrun/62 b/updatedrun/62 new file mode 100644 index 00000000..185fe503 --- /dev/null +++ b/updatedrun/62 @@ -0,0 +1,5 @@ +0 +61 +1.5 +5538078653.986643 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/620 b/updatedrun/620 new file mode 100644 index 00000000..a0889f0f --- /dev/null +++ b/updatedrun/620 @@ -0,0 +1,5 @@ +40 +40 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/621 b/updatedrun/621 new file mode 100644 index 00000000..b55a8915 --- /dev/null +++ b/updatedrun/621 @@ -0,0 +1,5 @@ +40 +40 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/622 b/updatedrun/622 new file mode 100644 index 00000000..b1ac99af --- /dev/null +++ b/updatedrun/622 @@ -0,0 +1,5 @@ +40 +40 +1.5 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b/updatedrun/627 @@ -0,0 +1,5 @@ +40 +40 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/628 b/updatedrun/628 new file mode 100644 index 00000000..fafb8f4c --- /dev/null +++ b/updatedrun/628 @@ -0,0 +1,5 @@ +40 +40 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/629 b/updatedrun/629 new file mode 100644 index 00000000..4e2f330f --- /dev/null +++ b/updatedrun/629 @@ -0,0 +1,5 @@ +40 +40 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/63 b/updatedrun/63 new file mode 100644 index 00000000..7e71b4d4 --- /dev/null +++ b/updatedrun/63 @@ -0,0 +1,5 @@ +0 +61 +2.0 +5832695878.133328 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/630 b/updatedrun/630 new file mode 100644 index 00000000..83dd8050 --- /dev/null +++ b/updatedrun/630 @@ -0,0 +1,5 @@ +40 +50 +0.5 +5063573160.007287 +54680000.0 \ No newline at end of file diff --git a/updatedrun/631 b/updatedrun/631 new file mode 100644 index 00000000..514f5efb --- /dev/null +++ b/updatedrun/631 @@ -0,0 +1,5 @@ +40 +50 +1.0 +5118253160.007287 +109360000.0 \ No newline at end of file diff --git a/updatedrun/632 b/updatedrun/632 new file mode 100644 index 00000000..6eede31b --- /dev/null +++ b/updatedrun/632 @@ -0,0 +1,5 @@ +40 +50 +1.5 +5172933160.007287 +164040000.0 \ No newline at end of file diff --git a/updatedrun/633 b/updatedrun/633 new file mode 100644 index 00000000..0a6048ce --- /dev/null +++ b/updatedrun/633 @@ -0,0 +1,5 @@ +40 +50 +2.0 +5227613160.007287 +218720000.0 \ No newline at end of file diff --git a/updatedrun/634 b/updatedrun/634 new file mode 100644 index 00000000..b518f839 --- /dev/null +++ b/updatedrun/634 @@ -0,0 +1,5 @@ +40 +50 +2.5 +5282293160.007287 +273400000.0 \ No newline at end of file diff --git a/updatedrun/635 b/updatedrun/635 new file mode 100644 index 00000000..a4e3b50b --- /dev/null +++ b/updatedrun/635 @@ -0,0 +1,5 @@ +40 +50 +3.0 +5336973160.007287 +328080000.0 \ No newline at end of file diff --git a/updatedrun/636 b/updatedrun/636 new file mode 100644 index 00000000..6503e32b --- /dev/null +++ b/updatedrun/636 @@ -0,0 +1,5 @@ +40 +50 +3.5 +5391653160.007287 +382760000.0 \ No newline at end of file diff --git a/updatedrun/637 b/updatedrun/637 new file mode 100644 index 00000000..5ca5fb07 --- /dev/null +++ b/updatedrun/637 @@ -0,0 +1,5 @@ +40 +50 +4.0 +5446333160.007287 +437440000.0 \ No newline at end of file diff --git a/updatedrun/638 b/updatedrun/638 new file mode 100644 index 00000000..9e57bf0e --- /dev/null +++ b/updatedrun/638 @@ -0,0 +1,5 @@ +40 +50 +4.5 +5501013160.007287 +492120000.0 \ No newline at end of file diff --git a/updatedrun/639 b/updatedrun/639 new file mode 100644 index 00000000..ac1be413 --- /dev/null +++ b/updatedrun/639 @@ -0,0 +1,5 @@ +40 +50 +5.0 +5555693160.007287 +546800000.0 \ No newline at end of file diff --git a/updatedrun/64 b/updatedrun/64 new file mode 100644 index 00000000..2aed4631 --- /dev/null +++ b/updatedrun/64 @@ -0,0 +1,5 @@ +0 +61 +2.5 +6161488493.892122 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/640 b/updatedrun/640 new file mode 100644 index 00000000..a6e10df5 --- /dev/null +++ b/updatedrun/640 @@ -0,0 +1,5 @@ +40 +61 +0.5 +5123721160.007287 +114828000.0 \ No newline at end of file diff --git a/updatedrun/641 b/updatedrun/641 new file mode 100644 index 00000000..fa621042 --- /dev/null +++ b/updatedrun/641 @@ -0,0 +1,5 @@ +40 +61 +1.0 +5238549160.007287 +229656000.0 \ No newline at end of file diff --git a/updatedrun/642 b/updatedrun/642 new file mode 100644 index 00000000..fad94f91 --- /dev/null +++ b/updatedrun/642 @@ -0,0 +1,5 @@ +40 +61 +1.5 +5353162807.350922 +344484000.0 \ No newline at end of file diff --git a/updatedrun/643 b/updatedrun/643 new file mode 100644 index 00000000..adf2218f --- /dev/null +++ b/updatedrun/643 @@ -0,0 +1,5 @@ +40 +61 +2.0 +5467954007.777365 +459312000.0 \ No newline at end of file diff --git a/updatedrun/644 b/updatedrun/644 new file mode 100644 index 00000000..04ec5453 --- /dev/null +++ b/updatedrun/644 @@ -0,0 +1,5 @@ +40 +61 +2.5 +5582782007.777365 +574140000.0 \ No newline at end of file diff --git a/updatedrun/645 b/updatedrun/645 new file mode 100644 index 00000000..05bcd9f0 --- /dev/null +++ b/updatedrun/645 @@ -0,0 +1,5 @@ +40 +61 +3.0 +5697610007.777365 +688968000.0 \ No newline at end of file diff --git a/updatedrun/646 b/updatedrun/646 new file mode 100644 index 00000000..17516063 --- /dev/null +++ b/updatedrun/646 @@ -0,0 +1,5 @@ +40 +61 +3.5 +5812438007.777365 +803796000.0 \ No newline at end of file diff --git a/updatedrun/647 b/updatedrun/647 new file mode 100644 index 00000000..20c98dd4 --- /dev/null +++ b/updatedrun/647 @@ -0,0 +1,5 @@ +40 +61 +4.0 +5927266007.777365 +918624000.0 \ No newline at end of file diff --git a/updatedrun/648 b/updatedrun/648 new file mode 100644 index 00000000..45894e98 --- /dev/null +++ b/updatedrun/648 @@ -0,0 +1,5 @@ +40 +61 +4.5 +6042094007.777365 +1033452000.0 \ No newline at end of file diff --git a/updatedrun/649 b/updatedrun/649 new file mode 100644 index 00000000..64b20fba --- /dev/null +++ b/updatedrun/649 @@ -0,0 +1,5 @@ +40 +61 +5.0 +6156922007.777365 +1148280000.0 \ No newline at end of file diff --git a/updatedrun/65 b/updatedrun/65 new file mode 100644 index 00000000..5a94bcdd --- /dev/null +++ b/updatedrun/65 @@ -0,0 +1,5 @@ +0 +61 +3.0 +6494511396.6682 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/650 b/updatedrun/650 new file mode 100644 index 00000000..e50913c2 --- /dev/null +++ b/updatedrun/650 @@ -0,0 +1,5 @@ +40 +71 +0.5 +5178401160.007287 +169508000.0 \ No newline at end of file diff --git a/updatedrun/651 b/updatedrun/651 new file mode 100644 index 00000000..6c643f0e --- /dev/null +++ b/updatedrun/651 @@ -0,0 +1,5 @@ +40 +71 +1.0 +5347909160.007287 +339016000.0 \ No newline at end of file diff --git a/updatedrun/652 b/updatedrun/652 new file mode 100644 index 00000000..1cb8026b --- /dev/null +++ b/updatedrun/652 @@ -0,0 +1,5 @@ +40 +71 +1.5 +5517174485.266542 +508524000.0 \ No newline at end of file diff --git a/updatedrun/653 b/updatedrun/653 new file mode 100644 index 00000000..516280c4 --- /dev/null +++ b/updatedrun/653 @@ -0,0 +1,5 @@ +40 +71 +2.0 +5686636920.789412 +678032000.0 \ No newline at end of file diff --git a/updatedrun/654 b/updatedrun/654 new file mode 100644 index 00000000..daf24576 --- /dev/null +++ b/updatedrun/654 @@ -0,0 +1,5 @@ +40 +71 +2.5 +5856144920.789412 +847540000.0 \ No newline at end of file diff --git a/updatedrun/655 b/updatedrun/655 new file mode 100644 index 00000000..2562ab13 --- /dev/null +++ b/updatedrun/655 @@ -0,0 +1,5 @@ +40 +71 +3.0 +6025652920.789412 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/656 b/updatedrun/656 new file mode 100644 index 00000000..6e169352 --- /dev/null +++ b/updatedrun/656 @@ -0,0 +1,5 @@ +40 +71 +3.5 +6195160920.789412 +1186556000.0 \ No newline at end of file diff --git a/updatedrun/657 b/updatedrun/657 new file mode 100644 index 00000000..e254bf12 --- /dev/null +++ b/updatedrun/657 @@ -0,0 +1,5 @@ +40 +71 +4.0 +6364668920.789412 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/658 b/updatedrun/658 new file mode 100644 index 00000000..08552eb3 --- /dev/null +++ b/updatedrun/658 @@ -0,0 +1,5 @@ +40 +71 +4.5 +6534176920.789412 +1525572000.0 \ No newline at end of file diff --git a/updatedrun/659 b/updatedrun/659 new file mode 100644 index 00000000..51a555c3 --- /dev/null +++ b/updatedrun/659 @@ -0,0 +1,5 @@ +40 +71 +5.0 +6703684920.789412 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/66 b/updatedrun/66 new file mode 100644 index 00000000..3b04b073 --- /dev/null +++ b/updatedrun/66 @@ -0,0 +1,5 @@ +0 +61 +3.5 +6827995609.356617 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/660 b/updatedrun/660 new file mode 100644 index 00000000..91e27632 --- /dev/null +++ b/updatedrun/660 @@ -0,0 +1,5 @@ +40 +81 +0.5 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00000000..04d38677 --- /dev/null +++ b/updatedrun/665 @@ -0,0 +1,5 @@ +40 +81 +3.0 +5430280840.503395 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/666 b/updatedrun/666 new file mode 100644 index 00000000..d3ae472c --- /dev/null +++ b/updatedrun/666 @@ -0,0 +1,5 @@ +40 +81 +3.5 +5654468840.503395 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/667 b/updatedrun/667 new file mode 100644 index 00000000..3026387e --- /dev/null +++ b/updatedrun/667 @@ -0,0 +1,5 @@ +40 +81 +4.0 +5878656840.503395 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/668 b/updatedrun/668 new file mode 100644 index 00000000..27e5ff23 --- /dev/null +++ b/updatedrun/668 @@ -0,0 +1,5 @@ +40 +81 +4.5 +6102844840.503395 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/669 b/updatedrun/669 new file mode 100644 index 00000000..88118482 --- /dev/null +++ b/updatedrun/669 @@ -0,0 +1,5 @@ +40 +81 +5.0 +6327032840.503395 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/67 b/updatedrun/67 new file mode 100644 index 00000000..bb6743db --- /dev/null +++ b/updatedrun/67 @@ -0,0 +1,5 @@ +0 +61 +4.0 +7161543609.356617 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/670 b/updatedrun/670 new file mode 100644 index 00000000..f6c9638b --- /dev/null +++ b/updatedrun/670 @@ -0,0 +1,5 @@ +40 +91 +0.5 +5287097434.651274 +278868000.0 \ No newline at end of file diff --git a/updatedrun/671 b/updatedrun/671 new file mode 100644 index 00000000..d21d3b8e --- /dev/null +++ b/updatedrun/671 @@ -0,0 +1,5 @@ +40 +91 +1.0 +5546987245.288144 +557736000.0 \ No newline at end of file diff --git a/updatedrun/672 b/updatedrun/672 new file mode 100644 index 00000000..ca99d4d9 --- /dev/null +++ b/updatedrun/672 @@ -0,0 +1,5 @@ +40 +91 +1.5 +5038397231.712363 +836604000.0 \ No newline at end of file diff --git a/updatedrun/673 b/updatedrun/673 new file mode 100644 index 00000000..1aaad83c --- /dev/null +++ b/updatedrun/673 @@ -0,0 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mode 100644 index 00000000..283e9fac --- /dev/null +++ b/updatedrun/678 @@ -0,0 +1,5 @@ +40 +91 +4.5 +6277772011.137943 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/679 b/updatedrun/679 new file mode 100644 index 00000000..e3e474e7 --- /dev/null +++ b/updatedrun/679 @@ -0,0 +1,5 @@ +40 +91 +5.0 +6556640011.137943 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/68 b/updatedrun/68 new file mode 100644 index 00000000..162544be --- /dev/null +++ b/updatedrun/68 @@ -0,0 +1,5 @@ +0 +61 +4.5 +7495091609.356617 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/680 b/updatedrun/680 new file mode 100644 index 00000000..9b373b81 --- /dev/null +++ b/updatedrun/680 @@ -0,0 +1,5 @@ +40 +101 +0.5 +5341777434.651274 +333548000.0 \ No newline at end of file diff --git a/updatedrun/681 b/updatedrun/681 new file mode 100644 index 00000000..64907402 --- /dev/null +++ b/updatedrun/681 @@ -0,0 +1,5 @@ +40 +101 +1.0 +5656347245.288144 +667096000.0 \ No newline at end of file diff --git a/updatedrun/682 b/updatedrun/682 new file mode 100644 index 00000000..4f5b501f --- /dev/null +++ b/updatedrun/682 @@ -0,0 +1,5 @@ +40 +101 +1.5 +5202437231.712363 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/683 b/updatedrun/683 new file mode 100644 index 00000000..7b51f98c --- /dev/null +++ b/updatedrun/683 @@ -0,0 +1,5 @@ +40 +101 +2.0 +5112477906.715713 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/684 b/updatedrun/684 new file mode 100644 index 00000000..58f36f3b --- /dev/null +++ b/updatedrun/684 @@ -0,0 +1,5 @@ +40 +101 +2.5 +5435753073.940563 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/685 b/updatedrun/685 new file mode 100644 index 00000000..22c36420 --- /dev/null +++ b/updatedrun/685 @@ -0,0 +1,5 @@ +40 +101 +3.0 +5769248011.137943 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/686 b/updatedrun/686 new file mode 100644 index 00000000..2c3d0968 --- /dev/null +++ b/updatedrun/686 @@ -0,0 +1,5 @@ +40 +101 +3.5 +6102796011.137943 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/687 b/updatedrun/687 new file mode 100644 index 00000000..88ed644a --- /dev/null +++ b/updatedrun/687 @@ -0,0 +1,5 @@ +40 +101 +4.0 +6436344011.137943 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/688 b/updatedrun/688 new file mode 100644 index 00000000..809f13b7 --- /dev/null +++ b/updatedrun/688 @@ -0,0 +1,5 @@ +40 +101 +4.5 +6769892011.137943 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/689 b/updatedrun/689 new file mode 100644 index 00000000..de0a5547 --- /dev/null +++ b/updatedrun/689 @@ -0,0 +1,5 @@ +40 +101 +5.0 +7103440011.137943 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/69 b/updatedrun/69 new file mode 100644 index 00000000..b7df8665 --- /dev/null +++ b/updatedrun/69 @@ -0,0 +1,5 @@ +0 +61 +5.0 +7828639609.356617 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/690 b/updatedrun/690 new file mode 100644 index 00000000..818ef942 --- /dev/null +++ b/updatedrun/690 @@ -0,0 +1,5 @@ +40 +112 +0.5 +5364142867.76708 +393696000.0 \ No newline at end of file diff --git a/updatedrun/691 b/updatedrun/691 new file mode 100644 index 00000000..ce6519fd --- /dev/null +++ b/updatedrun/691 @@ -0,0 +1,5 @@ +40 +112 +1.0 +5715841503.403458 +787392000.0 \ No newline at end of file diff --git a/updatedrun/692 b/updatedrun/692 new file mode 100644 index 00000000..ea00fbc5 --- /dev/null +++ b/updatedrun/692 @@ -0,0 +1,5 @@ +40 +112 +1.5 +5434071730.629848 +1181088000.0 \ No newline at end of file diff --git a/updatedrun/693 b/updatedrun/693 new file mode 100644 index 00000000..4d505086 --- /dev/null +++ b/updatedrun/693 @@ -0,0 +1,5 @@ +40 +112 +2.0 +4311896362.593422 +1574784000.0 \ No newline at end of file diff --git a/updatedrun/694 b/updatedrun/694 new file mode 100644 index 00000000..37657657 --- /dev/null +++ b/updatedrun/694 @@ -0,0 +1,5 @@ +40 +112 +2.5 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00000000..7ba5d097 --- /dev/null +++ b/updatedrun/699 @@ -0,0 +1,5 @@ +40 +112 +5.0 +6628729827.817368 +3936960000.0 \ No newline at end of file diff --git a/updatedrun/7 b/updatedrun/7 new file mode 100644 index 00000000..c971c982 --- /dev/null +++ b/updatedrun/7 @@ -0,0 +1,5 @@ +0 +0 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/70 b/updatedrun/70 new file mode 100644 index 00000000..0abbdb4c --- /dev/null +++ b/updatedrun/70 @@ -0,0 +1,5 @@ +0 +71 +0.5 +5229393438.65788 +388228000.0 \ No newline at end of file diff --git a/updatedrun/700 b/updatedrun/700 new file mode 100644 index 00000000..cc08ff89 --- /dev/null +++ b/updatedrun/700 @@ -0,0 +1,5 @@ +40 +122 +0.5 +5416985176.125989 +448376000.0 \ No newline at end of file diff --git a/updatedrun/701 b/updatedrun/701 new file mode 100644 index 00000000..8fc1bd40 --- /dev/null +++ b/updatedrun/701 @@ -0,0 +1,5 @@ +40 +122 +1.0 +5820426250.8976965 +896752000.0 \ No newline at end of file diff --git a/updatedrun/702 b/updatedrun/702 new file mode 100644 index 00000000..81673366 --- /dev/null +++ b/updatedrun/702 @@ -0,0 +1,5 @@ +40 +122 +1.5 +5589142825.091244 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/703 b/updatedrun/703 new file mode 100644 index 00000000..fdf42509 --- /dev/null +++ b/updatedrun/703 @@ -0,0 +1,5 @@ +40 +122 +2.0 +4499809960.331199 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/704 b/updatedrun/704 new file mode 100644 index 00000000..8cdb9e73 --- /dev/null +++ b/updatedrun/704 @@ -0,0 +1,5 @@ +40 +122 +2.5 +4891485099.413688 +2241880000.0 \ No newline at end of file diff --git a/updatedrun/705 b/updatedrun/705 new file mode 100644 index 00000000..3231a7f0 --- /dev/null +++ b/updatedrun/705 @@ -0,0 +1,5 @@ +40 +122 +3.0 +5335069398.286705 +2690256000.0 \ No newline at end of file diff --git a/updatedrun/706 b/updatedrun/706 new file mode 100644 index 00000000..e4358214 --- /dev/null +++ b/updatedrun/706 @@ -0,0 +1,5 @@ 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No newline at end of file diff --git a/updatedrun/715 b/updatedrun/715 new file mode 100644 index 00000000..961ecb4c --- /dev/null +++ b/updatedrun/715 @@ -0,0 +1,5 @@ +40 +132 +3.0 +5630649943.732838 +3018336000.0 \ No newline at end of file diff --git a/updatedrun/716 b/updatedrun/716 new file mode 100644 index 00000000..7f3ed0ad --- /dev/null +++ b/updatedrun/716 @@ -0,0 +1,5 @@ +40 +132 +3.5 +6132808034.314749 +3521392000.0 \ No newline at end of file diff --git a/updatedrun/717 b/updatedrun/717 new file mode 100644 index 00000000..ee10de4b --- /dev/null +++ b/updatedrun/717 @@ -0,0 +1,5 @@ +40 +132 +4.0 +6635864034.314749 +4024448000.0 \ No newline at end of file diff --git a/updatedrun/718 b/updatedrun/718 new file mode 100644 index 00000000..987754fa --- /dev/null +++ b/updatedrun/718 @@ -0,0 +1,5 @@ +40 +132 +4.5 +7138920034.314749 +4527504000.0 \ No newline at end of file diff --git a/updatedrun/719 b/updatedrun/719 new file mode 100644 index 00000000..1a5a3a7b --- /dev/null +++ b/updatedrun/719 @@ -0,0 +1,5 @@ +40 +132 +5.0 +7641976034.314749 +5030560000.0 \ No newline at end of file diff --git a/updatedrun/72 b/updatedrun/72 new file mode 100644 index 00000000..3ebd7e63 --- /dev/null +++ b/updatedrun/72 @@ -0,0 +1,5 @@ +0 +71 +1.5 +5701522925.049578 +1164684000.0 \ No newline at end of file diff --git a/updatedrun/720 b/updatedrun/720 new file mode 100644 index 00000000..6bcda183 --- /dev/null +++ b/updatedrun/720 @@ -0,0 +1,5 @@ +40 +142 +0.5 +5468198211.0610075 +557736000.0 \ No newline at end of file diff --git a/updatedrun/721 b/updatedrun/721 new file mode 100644 index 00000000..633991c0 --- /dev/null +++ b/updatedrun/721 @@ -0,0 +1,5 @@ +40 +142 +1.0 +5962545161.751395 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/722 b/updatedrun/722 new file mode 100644 index 00000000..7595be64 --- /dev/null +++ b/updatedrun/722 @@ -0,0 +1,5 @@ +40 +142 +1.5 +5830764604.667905 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/723 b/updatedrun/723 new file mode 100644 index 00000000..470d5ec9 --- /dev/null +++ b/updatedrun/723 @@ -0,0 +1,5 @@ +40 +142 +2.0 +4819508136.717302 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/724 b/updatedrun/724 new file mode 100644 index 00000000..de6aca54 --- /dev/null +++ b/updatedrun/724 @@ -0,0 +1,5 @@ +40 +142 +2.5 +5303456631.987469 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/725 b/updatedrun/725 new file mode 100644 index 00000000..4ebd5344 --- /dev/null +++ b/updatedrun/725 @@ -0,0 +1,5 @@ +40 +142 +3.0 +5855994444.359809 +3346416000.0 \ No newline at end of file diff --git a/updatedrun/726 b/updatedrun/726 new file mode 100644 index 00000000..4eba6d0b --- /dev/null +++ b/updatedrun/726 @@ -0,0 +1,5 @@ +40 +142 +3.5 +6408022082.118497 +3904152000.0 \ No newline at end of file diff --git a/updatedrun/727 b/updatedrun/727 new file mode 100644 index 00000000..7e850c8e --- /dev/null +++ b/updatedrun/727 @@ -0,0 +1,5 @@ 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100644 index 00000000..d43d404b --- /dev/null +++ b/updatedrun/731 @@ -0,0 +1,5 @@ +40 +152 +1.0 +5781370008.211199 +1224832000.0 \ No newline at end of file diff --git a/updatedrun/732 b/updatedrun/732 new file mode 100644 index 00000000..6a3faf55 --- /dev/null +++ b/updatedrun/732 @@ -0,0 +1,5 @@ +40 +152 +1.5 +5687851213.405348 +1837248000.0 \ No newline at end of file diff --git a/updatedrun/733 b/updatedrun/733 new file mode 100644 index 00000000..52c554f4 --- /dev/null +++ b/updatedrun/733 @@ -0,0 +1,5 @@ +40 +152 +2.0 +4729412256.456081 +2449664000.0 \ No newline at end of file diff --git a/updatedrun/734 b/updatedrun/734 new file mode 100644 index 00000000..9aaeba57 --- /dev/null +++ b/updatedrun/734 @@ -0,0 +1,5 @@ +40 +152 +2.5 +5269241060.277201 +3062080000.0 \ No newline at end of file diff --git a/updatedrun/735 b/updatedrun/735 new file mode 100644 index 00000000..da31001d --- /dev/null +++ b/updatedrun/735 @@ -0,0 +1,5 @@ +40 +152 +3.0 +5877314552.537778 +3674496000.0 \ No newline at end of file diff --git a/updatedrun/736 b/updatedrun/736 new file mode 100644 index 00000000..1ba744bb --- /dev/null +++ b/updatedrun/736 @@ -0,0 +1,5 @@ +40 +152 +3.5 +6480240853.759194 +4286912000.0 \ No newline at end of file diff --git a/updatedrun/737 b/updatedrun/737 new file mode 100644 index 00000000..e632949f --- /dev/null +++ b/updatedrun/737 @@ -0,0 +1,5 @@ +40 +152 +4.0 +7092656853.759194 +4899328000.0 \ No newline at end of file diff --git a/updatedrun/738 b/updatedrun/738 new file mode 100644 index 00000000..500ee6f0 --- /dev/null +++ b/updatedrun/738 @@ -0,0 +1,5 @@ +40 +152 +4.5 +7705072853.759194 +5511744000.0 \ No newline at end of file diff --git a/updatedrun/739 b/updatedrun/739 new file mode 100644 index 00000000..d2d38ba1 --- /dev/null +++ b/updatedrun/739 @@ -0,0 +1,5 @@ +40 +152 +5.0 +8317488853.759194 +6124160000.0 \ No newline at end of file diff --git a/updatedrun/74 b/updatedrun/74 new file mode 100644 index 00000000..9821d5ae --- /dev/null +++ b/updatedrun/74 @@ -0,0 +1,5 @@ +0 +71 +2.5 +6434414329.654728 +1941140000.0 \ No newline at end of file diff --git a/updatedrun/740 b/updatedrun/740 new file mode 100644 index 00000000..90818604 --- /dev/null +++ b/updatedrun/740 @@ -0,0 +1,5 @@ +40 +163 +0.5 +5019555940.629735 +672564000.0 \ No newline at end of file diff --git a/updatedrun/741 b/updatedrun/741 new file mode 100644 index 00000000..f9c73183 --- /dev/null +++ b/updatedrun/741 @@ -0,0 +1,5 @@ +40 +163 +1.0 +5458135359.3672285 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/742 b/updatedrun/742 new file mode 100644 index 00000000..c875587d --- /dev/null +++ b/updatedrun/742 @@ -0,0 +1,5 @@ +40 +163 +1.5 +5348325696.938302 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/743 b/updatedrun/743 new file mode 100644 index 00000000..cf6882b1 --- /dev/null +++ b/updatedrun/743 @@ -0,0 +1,5 @@ +40 +163 +2.0 +4309883828.12336 +2690256000.0 \ No newline at end of file diff --git a/updatedrun/744 b/updatedrun/744 new file mode 100644 index 00000000..5a03dde9 --- /dev/null +++ b/updatedrun/744 @@ -0,0 +1,5 @@ +40 +163 +2.5 +4910370792.126676 +3362820000.0 \ No newline at end of file diff --git a/updatedrun/745 b/updatedrun/745 new file mode 100644 index 00000000..5754dffc --- /dev/null +++ b/updatedrun/745 @@ -0,0 +1,5 @@ +40 +163 +3.0 +5578638232.638309 +4035384000.0 \ No newline at end of file diff --git a/updatedrun/746 b/updatedrun/746 new file mode 100644 index 00000000..e4f774f6 --- /dev/null +++ b/updatedrun/746 @@ -0,0 +1,5 @@ +40 +163 +3.5 +6241931376.754604 +4707948000.0 \ No newline at end of file diff --git a/updatedrun/747 b/updatedrun/747 new file mode 100644 index 00000000..ef7071eb --- /dev/null +++ b/updatedrun/747 @@ -0,0 +1,5 @@ +40 +163 +4.0 +6914495376.754604 +5380512000.0 \ No newline at end of file diff --git a/updatedrun/748 b/updatedrun/748 new file mode 100644 index 00000000..3f43192d --- /dev/null +++ b/updatedrun/748 @@ -0,0 +1,5 @@ +40 +163 +4.5 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100644 index 00000000..758ce69e --- /dev/null +++ b/updatedrun/757 @@ -0,0 +1,5 @@ +50 +50 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/758 b/updatedrun/758 new file mode 100644 index 00000000..c422b67d --- /dev/null +++ b/updatedrun/758 @@ -0,0 +1,5 @@ +50 +50 +4.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/759 b/updatedrun/759 new file mode 100644 index 00000000..d8e60d29 --- /dev/null +++ b/updatedrun/759 @@ -0,0 +1,5 @@ +50 +50 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/76 b/updatedrun/76 new file mode 100644 index 00000000..1b45f1e0 --- /dev/null +++ b/updatedrun/76 @@ -0,0 +1,5 @@ +0 +71 +3.5 +7210178069.737659 +2717596000.0 \ No newline at end of file diff --git a/updatedrun/760 b/updatedrun/760 new file mode 100644 index 00000000..715b45e6 --- /dev/null +++ b/updatedrun/760 @@ -0,0 +1,5 @@ +50 +61 +0.5 +5069041598.256708 +60148000.0 \ No newline at end of file diff --git a/updatedrun/761 b/updatedrun/761 new file mode 100644 index 00000000..6f8bd459 --- /dev/null +++ b/updatedrun/761 @@ -0,0 +1,5 @@ +50 +61 +1.0 +5129189598.256708 +120296000.0 \ No newline at end of file diff --git a/updatedrun/762 b/updatedrun/762 new file mode 100644 index 00000000..ed22c98f --- /dev/null +++ b/updatedrun/762 @@ -0,0 +1,5 @@ +50 +61 +1.5 +5189337598.256708 +180444000.0 \ No newline at end of file diff --git a/updatedrun/763 b/updatedrun/763 new file mode 100644 index 00000000..75a4937d --- /dev/null +++ b/updatedrun/763 @@ -0,0 +1,5 @@ +50 +61 +2.0 +5249485598.256708 +240592000.0 \ No newline at end of file diff --git a/updatedrun/764 b/updatedrun/764 new file mode 100644 index 00000000..1f6eeb3f --- /dev/null +++ b/updatedrun/764 @@ -0,0 +1,5 @@ +50 +61 +2.5 +5309633598.256708 +300740000.0 \ No newline at end of file diff --git a/updatedrun/765 b/updatedrun/765 new file mode 100644 index 00000000..50f26229 --- /dev/null +++ b/updatedrun/765 @@ -0,0 +1,5 @@ +50 +61 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00000000..3533e0cc --- /dev/null +++ b/updatedrun/77 @@ -0,0 +1,5 @@ +0 +71 +4.0 +7598406069.737659 +3105824000.0 \ No newline at end of file diff --git a/updatedrun/770 b/updatedrun/770 new file mode 100644 index 00000000..c955ca7e --- /dev/null +++ b/updatedrun/770 @@ -0,0 +1,5 @@ +50 +71 +0.5 +5123721598.256708 +114828000.0 \ No newline at end of file diff --git a/updatedrun/771 b/updatedrun/771 new file mode 100644 index 00000000..58a8fba1 --- /dev/null +++ b/updatedrun/771 @@ -0,0 +1,5 @@ +50 +71 +1.0 +5238549598.256708 +229656000.0 \ No newline at end of file diff --git a/updatedrun/772 b/updatedrun/772 new file mode 100644 index 00000000..6f431a24 --- /dev/null +++ b/updatedrun/772 @@ -0,0 +1,5 @@ +50 +71 +1.5 +5353377598.256708 +344484000.0 \ No newline at end of file diff --git a/updatedrun/773 b/updatedrun/773 new file mode 100644 index 00000000..74c49d51 --- /dev/null +++ b/updatedrun/773 @@ -0,0 +1,5 @@ +50 +71 +2.0 +5468205598.256708 +459312000.0 \ No newline at end of file diff --git a/updatedrun/774 b/updatedrun/774 new file mode 100644 index 00000000..ba320c14 --- /dev/null +++ b/updatedrun/774 @@ -0,0 +1,5 @@ +50 +71 +2.5 +5583033598.256708 +574140000.0 \ No newline at end of file diff --git a/updatedrun/775 b/updatedrun/775 new file mode 100644 index 00000000..c4c08f01 --- /dev/null +++ b/updatedrun/775 @@ -0,0 +1,5 @@ +50 +71 +3.0 +5697861598.256708 +688968000.0 \ No newline at end of file diff --git a/updatedrun/776 b/updatedrun/776 new file mode 100644 index 00000000..a3f3cecb --- /dev/null +++ b/updatedrun/776 @@ -0,0 +1,5 @@ +50 +71 +3.5 +5812689598.256708 +803796000.0 \ No newline at end of file diff --git a/updatedrun/777 b/updatedrun/777 new file mode 100644 index 00000000..04e1b7e6 --- /dev/null +++ b/updatedrun/777 @@ -0,0 +1,5 @@ +50 +71 +4.0 +5927517598.256708 +918624000.0 \ No newline at end of file diff --git a/updatedrun/778 b/updatedrun/778 new file mode 100644 index 00000000..f3c3e9e5 --- /dev/null +++ b/updatedrun/778 @@ -0,0 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100644 index 00000000..29d0bc58 --- /dev/null +++ b/updatedrun/782 @@ -0,0 +1,5 @@ +50 +81 +1.5 +5512088443.740555 +508524000.0 \ No newline at end of file diff --git a/updatedrun/783 b/updatedrun/783 new file mode 100644 index 00000000..2b0680d2 --- /dev/null +++ b/updatedrun/783 @@ -0,0 +1,5 @@ +50 +81 +2.0 +5680278137.888228 +678032000.0 \ No newline at end of file diff --git a/updatedrun/784 b/updatedrun/784 new file mode 100644 index 00000000..07fb1053 --- /dev/null +++ b/updatedrun/784 @@ -0,0 +1,5 @@ +50 +81 +2.5 +5849655227.147355 +847540000.0 \ No newline at end of file diff --git a/updatedrun/785 b/updatedrun/785 new file mode 100644 index 00000000..07384253 --- /dev/null +++ b/updatedrun/785 @@ -0,0 +1,5 @@ +50 +81 +3.0 +6019163227.147355 +1017048000.0 \ No newline at end of file diff --git a/updatedrun/786 b/updatedrun/786 new file mode 100644 index 00000000..ac1af6c6 --- /dev/null +++ b/updatedrun/786 @@ -0,0 +1,5 @@ +50 +81 +3.5 +6188671227.147355 +1186556000.0 \ No newline at end of file diff --git a/updatedrun/787 b/updatedrun/787 new file mode 100644 index 00000000..f18044e9 --- /dev/null +++ b/updatedrun/787 @@ -0,0 +1,5 @@ +50 +81 +4.0 +6358179227.147355 +1356064000.0 \ No newline at end of file diff --git a/updatedrun/788 b/updatedrun/788 new file mode 100644 index 00000000..577b8f01 --- /dev/null +++ b/updatedrun/788 @@ -0,0 +1,5 @@ +50 +81 +4.5 +6527687227.147355 +1525572000.0 \ No newline at end of file diff --git a/updatedrun/789 b/updatedrun/789 new file mode 100644 index 00000000..859e094e --- /dev/null +++ b/updatedrun/789 @@ -0,0 +1,5 @@ +50 +81 +5.0 +6697195227.147355 +1695080000.0 \ No newline at end of file diff --git a/updatedrun/79 b/updatedrun/79 new file mode 100644 index 00000000..c0b070d3 --- /dev/null +++ b/updatedrun/79 @@ -0,0 +1,5 @@ +0 +71 +5.0 +8374862069.737659 +3882280000.0 \ No newline at end of file diff --git a/updatedrun/790 b/updatedrun/790 new file mode 100644 index 00000000..7629bc58 --- /dev/null +++ b/updatedrun/790 @@ -0,0 +1,5 @@ +50 +91 +0.5 +5232417872.900695 +224188000.0 \ No newline at end of file diff --git a/updatedrun/791 b/updatedrun/791 new file mode 100644 index 00000000..5f6dd3cc --- /dev/null +++ b/updatedrun/791 @@ -0,0 +1,5 @@ +50 +91 +1.0 +5454780178.677149 +448376000.0 \ No newline at end of file diff --git a/updatedrun/792 b/updatedrun/792 new file mode 100644 index 00000000..abe679b1 --- /dev/null +++ b/updatedrun/792 @@ -0,0 +1,5 @@ +50 +91 +1.5 +5673061566.950952 +672564000.0 \ No newline at end of file diff --git a/updatedrun/793 b/updatedrun/793 new file mode 100644 index 00000000..cee6d48c --- /dev/null +++ b/updatedrun/793 @@ -0,0 +1,5 @@ +50 +91 +2.0 +5895910769.40048 +896752000.0 \ No newline at end of file diff --git a/updatedrun/794 b/updatedrun/794 new file mode 100644 index 00000000..267faf8c --- /dev/null +++ b/updatedrun/794 @@ -0,0 +1,5 @@ +50 +91 +2.5 +6119883521.50962 +1120940000.0 \ No newline at end of file diff --git a/updatedrun/795 b/updatedrun/795 new file mode 100644 index 00000000..06d74eec --- /dev/null +++ b/updatedrun/795 @@ -0,0 +1,5 @@ +50 +91 +3.0 +6344071521.50962 +1345128000.0 \ No newline at end of file diff --git a/updatedrun/796 b/updatedrun/796 new file mode 100644 index 00000000..b9f0830b --- /dev/null +++ b/updatedrun/796 @@ -0,0 +1,5 @@ +50 +91 +3.5 +6568259521.50962 +1569316000.0 \ No newline at end of file diff --git a/updatedrun/797 b/updatedrun/797 new file mode 100644 index 00000000..acf07047 --- /dev/null +++ b/updatedrun/797 @@ -0,0 +1,5 @@ +50 +91 +4.0 +6792447521.50962 +1793504000.0 \ No newline at end of file diff --git a/updatedrun/798 b/updatedrun/798 new file mode 100644 index 00000000..c9f2836d --- /dev/null +++ b/updatedrun/798 @@ -0,0 +1,5 @@ +50 +91 +4.5 +7016635521.50962 +2017692000.0 \ No newline at end of file diff --git a/updatedrun/799 b/updatedrun/799 new file mode 100644 index 00000000..080a9d42 --- /dev/null +++ b/updatedrun/799 @@ -0,0 +1,5 @@ +50 +91 +5.0 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/dev/null +++ b/updatedrun/802 @@ -0,0 +1,5 @@ +50 +101 +1.5 +5837101566.950952 +836604000.0 \ No newline at end of file diff --git a/updatedrun/803 b/updatedrun/803 new file mode 100644 index 00000000..5df793ed --- /dev/null +++ b/updatedrun/803 @@ -0,0 +1,5 @@ +50 +101 +2.0 +6114630769.40048 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/804 b/updatedrun/804 new file mode 100644 index 00000000..b498c818 --- /dev/null +++ b/updatedrun/804 @@ -0,0 +1,5 @@ +50 +101 +2.5 +6393283521.50962 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/805 b/updatedrun/805 new file mode 100644 index 00000000..27999ca2 --- /dev/null +++ b/updatedrun/805 @@ -0,0 +1,5 @@ +50 +101 +3.0 +6672151521.50962 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/806 b/updatedrun/806 new file mode 100644 index 00000000..ca4bfb9e --- /dev/null +++ b/updatedrun/806 @@ -0,0 +1,5 @@ +50 +101 +3.5 +6951019521.50962 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/807 b/updatedrun/807 new file mode 100644 index 00000000..920b8282 --- /dev/null +++ b/updatedrun/807 @@ -0,0 +1,5 @@ +50 +101 +4.0 +7229887521.509619 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/808 b/updatedrun/808 new file mode 100644 index 00000000..62365538 --- /dev/null +++ b/updatedrun/808 @@ -0,0 +1,5 @@ +50 +101 +4.5 +7508755521.509619 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/809 b/updatedrun/809 new file mode 100644 index 00000000..356cda1d --- /dev/null +++ b/updatedrun/809 @@ -0,0 +1,5 @@ +50 +101 +5.0 +7787623521.509619 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/81 b/updatedrun/81 new file mode 100644 index 00000000..31fbbddb --- /dev/null +++ b/updatedrun/81 @@ -0,0 +1,5 @@ +0 +81 +1.0 +5454716576.210078 +885816000.0 \ No newline at end of file diff --git a/updatedrun/810 b/updatedrun/810 new file mode 100644 index 00000000..2253c167 --- /dev/null +++ b/updatedrun/810 @@ -0,0 +1,5 @@ +50 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100644 index 00000000..a421792b --- /dev/null +++ b/updatedrun/815 @@ -0,0 +1,5 @@ +50 +112 +3.0 +6981153030.990674 +2034096000.0 \ No newline at end of file diff --git a/updatedrun/816 b/updatedrun/816 new file mode 100644 index 00000000..8cf68c6b --- /dev/null +++ b/updatedrun/816 @@ -0,0 +1,5 @@ +50 +112 +3.5 +7320169030.990675 +2373112000.0 \ No newline at end of file diff --git a/updatedrun/817 b/updatedrun/817 new file mode 100644 index 00000000..2156b541 --- /dev/null +++ b/updatedrun/817 @@ -0,0 +1,5 @@ +50 +112 +4.0 +7659185030.990675 +2712128000.0 \ No newline at end of file diff --git a/updatedrun/818 b/updatedrun/818 new file mode 100644 index 00000000..555970f9 --- /dev/null +++ b/updatedrun/818 @@ -0,0 +1,5 @@ +50 +112 +4.5 +7998201030.990675 +3051144000.0 \ No newline at end of file diff --git a/updatedrun/819 b/updatedrun/819 new file mode 100644 index 00000000..60db6442 --- /dev/null +++ b/updatedrun/819 @@ -0,0 +1,5 @@ +50 +112 +5.0 +8337217030.990675 +3390160000.0 \ No newline at end of file diff --git a/updatedrun/82 b/updatedrun/82 new file mode 100644 index 00000000..022e59a6 --- /dev/null +++ b/updatedrun/82 @@ -0,0 +1,5 @@ +0 +81 +1.5 +5255663091.903125 +1328724000.0 \ No newline at end of file diff --git a/updatedrun/820 b/updatedrun/820 new file mode 100644 index 00000000..0370eb2b --- /dev/null +++ b/updatedrun/820 @@ -0,0 +1,5 @@ +50 +122 +0.5 +5362305614.331006 +393696000.0 \ No newline at end of file diff --git a/updatedrun/821 b/updatedrun/821 new file mode 100644 index 00000000..43956790 --- /dev/null +++ b/updatedrun/821 @@ -0,0 +1,5 @@ +50 +122 +1.0 +5748804717.204085 +787392000.0 \ No newline at end of file diff --git a/updatedrun/822 b/updatedrun/822 new file mode 100644 index 00000000..c1c062a5 --- /dev/null +++ b/updatedrun/822 @@ -0,0 +1,5 @@ +50 +122 +1.5 +6127548885.679311 +1181088000.0 \ No newline at end of file diff --git a/updatedrun/823 b/updatedrun/823 new file mode 100644 index 00000000..f294718a --- /dev/null +++ b/updatedrun/823 @@ -0,0 +1,5 @@ +50 +122 +2.0 +6519115463.85403 +1574784000.0 \ No newline at end of file diff --git a/updatedrun/824 b/updatedrun/824 new file mode 100644 index 00000000..7354aece --- /dev/null +++ b/updatedrun/824 @@ -0,0 +1,5 @@ +50 +122 +2.5 +6912744060.794197 +1968480000.0 \ No newline at end of file diff --git a/updatedrun/825 b/updatedrun/825 new file mode 100644 index 00000000..8cacd15f --- /dev/null +++ b/updatedrun/825 @@ -0,0 +1,5 @@ +50 +122 +3.0 +7306438387.947652 +2362176000.0 \ No newline at end of file diff --git a/updatedrun/826 b/updatedrun/826 new file mode 100644 index 00000000..ede4f6bb --- /dev/null +++ b/updatedrun/826 @@ -0,0 +1,5 @@ +50 +122 +3.5 +7700134387.947652 +2755872000.0 \ No newline at end of file diff --git a/updatedrun/827 b/updatedrun/827 new file mode 100644 index 00000000..bf202db6 --- /dev/null +++ b/updatedrun/827 @@ -0,0 +1,5 @@ +50 +122 +4.0 +8093830387.947652 +3149568000.0 \ No newline at end of file diff --git a/updatedrun/828 b/updatedrun/828 new file mode 100644 index 00000000..e4f3bdd8 --- /dev/null +++ b/updatedrun/828 @@ -0,0 +1,5 @@ +50 +122 +4.5 +8487526387.947652 +3543264000.0 \ No newline at end of file diff --git a/updatedrun/829 b/updatedrun/829 new file mode 100644 index 00000000..233b1a55 --- /dev/null +++ b/updatedrun/829 @@ -0,0 +1,5 @@ +50 +122 +5.0 +8881222387.947655 +3936960000.0 \ No newline at end of file diff --git a/updatedrun/83 b/updatedrun/83 new file mode 100644 index 00000000..a4a301f6 --- /dev/null +++ b/updatedrun/83 @@ -0,0 +1,5 @@ +0 +81 +2.0 +5267328175.655442 +1771632000.0 \ No newline at end of file diff --git a/updatedrun/830 b/updatedrun/830 new file mode 100644 index 00000000..00451ffc --- /dev/null +++ b/updatedrun/830 @@ -0,0 +1,5 @@ +50 +132 +0.5 +5413356907.341265 +448376000.0 \ No newline at end of file diff --git a/updatedrun/831 b/updatedrun/831 new file mode 100644 index 00000000..598d6fe0 --- /dev/null +++ b/updatedrun/831 @@ -0,0 +1,5 @@ +50 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100644 index 00000000..c4107717 --- /dev/null +++ b/updatedrun/836 @@ -0,0 +1,5 @@ +50 +132 +3.5 +8068879330.999489 +3138632000.0 \ No newline at end of file diff --git a/updatedrun/837 b/updatedrun/837 new file mode 100644 index 00000000..7a98e9b0 --- /dev/null +++ b/updatedrun/837 @@ -0,0 +1,5 @@ +50 +132 +4.0 +8517255330.999489 +3587008000.0 \ No newline at end of file diff --git a/updatedrun/838 b/updatedrun/838 new file mode 100644 index 00000000..de488ea4 --- /dev/null +++ b/updatedrun/838 @@ -0,0 +1,5 @@ +50 +132 +4.5 +8965631330.999489 +4035384000.0 \ No newline at end of file diff --git a/updatedrun/839 b/updatedrun/839 new file mode 100644 index 00000000..10aec82a --- /dev/null +++ b/updatedrun/839 @@ -0,0 +1,5 @@ +50 +132 +5.0 +9414007330.999489 +4483760000.0 \ No newline at end of file diff --git a/updatedrun/84 b/updatedrun/84 new file mode 100644 index 00000000..1e30bf31 --- /dev/null +++ b/updatedrun/84 @@ -0,0 +1,5 @@ +0 +81 +2.5 +5676416209.583013 +2214540000.0 \ No newline at end of file diff --git a/updatedrun/840 b/updatedrun/840 new file mode 100644 index 00000000..614ff54f --- /dev/null +++ b/updatedrun/840 @@ -0,0 +1,5 @@ +50 +142 +0.5 +5413518648.983445 +503056000.0 \ No newline at end of file diff --git a/updatedrun/841 b/updatedrun/841 new file mode 100644 index 00000000..dc392431 --- /dev/null +++ b/updatedrun/841 @@ -0,0 +1,5 @@ +50 +142 +1.0 +5890918867.511468 +1006112000.0 \ No newline at end of file diff --git a/updatedrun/842 b/updatedrun/842 new file mode 100644 index 00000000..a785d82d --- /dev/null +++ b/updatedrun/842 @@ -0,0 +1,5 @@ +50 +142 +1.5 +6369191855.243833 +1509168000.0 \ No newline at end of file diff --git a/updatedrun/843 b/updatedrun/843 new file mode 100644 index 00000000..262bb288 --- /dev/null +++ b/updatedrun/843 @@ -0,0 +1,5 @@ +50 +142 +2.0 +6840199791.783702 +2012224000.0 \ No newline at end of file diff --git a/updatedrun/844 b/updatedrun/844 new file mode 100644 index 00000000..cc4bdede --- /dev/null +++ b/updatedrun/844 @@ -0,0 +1,5 @@ +50 +142 +2.5 +7337393606.412257 +2515280000.0 \ No newline at end of file diff --git a/updatedrun/845 b/updatedrun/845 new file mode 100644 index 00000000..94601a0f --- /dev/null +++ b/updatedrun/845 @@ -0,0 +1,5 @@ +50 +142 +3.0 +7844785138.987224 +3018336000.0 \ No newline at end of file diff --git a/updatedrun/846 b/updatedrun/846 new file mode 100644 index 00000000..a5588e7b --- /dev/null +++ b/updatedrun/846 @@ -0,0 +1,5 @@ +50 +142 +3.5 +8343025611.506582 +3521392000.0 \ No newline at end of file diff --git a/updatedrun/847 b/updatedrun/847 new file mode 100644 index 00000000..70505365 --- /dev/null +++ b/updatedrun/847 @@ -0,0 +1,5 @@ +50 +142 +4.0 +8846081611.506584 +4024448000.0 \ No newline at end of file diff --git a/updatedrun/848 b/updatedrun/848 new file mode 100644 index 00000000..5ba27593 --- /dev/null +++ b/updatedrun/848 @@ -0,0 +1,5 @@ +50 +142 +4.5 +9349137611.506584 +4527504000.0 \ No newline at end of file diff --git a/updatedrun/849 b/updatedrun/849 new file mode 100644 index 00000000..69f55fa3 --- /dev/null +++ b/updatedrun/849 @@ -0,0 +1,5 @@ +50 +142 +5.0 +9852193611.506584 +5030560000.0 \ No newline at end of file diff --git a/updatedrun/85 b/updatedrun/85 new file mode 100644 index 00000000..4e8fa855 --- /dev/null +++ b/updatedrun/85 @@ -0,0 +1,5 @@ +0 +81 +3.0 +6107243878.080731 +2657448000.0 \ No newline at end of file diff --git a/updatedrun/850 b/updatedrun/850 new file mode 100644 index 00000000..d2046271 --- /dev/null +++ b/updatedrun/850 @@ -0,0 +1,5 @@ +50 +152 +0.5 +5261761621.473953 +557736000.0 \ No newline at end of file diff --git a/updatedrun/851 b/updatedrun/851 new file mode 100644 index 00000000..9ae387ad --- /dev/null +++ b/updatedrun/851 @@ -0,0 +1,5 @@ +50 +152 +1.0 +5709730229.7323475 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/852 b/updatedrun/852 new file mode 100644 index 00000000..d9192594 --- /dev/null +++ b/updatedrun/852 @@ -0,0 +1,5 @@ +50 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index 00000000..ffbf73f1 --- /dev/null +++ b/updatedrun/857 @@ -0,0 +1,5 @@ +50 +152 +4.0 +8971143682.38199 +4461888000.0 \ No newline at end of file diff --git a/updatedrun/858 b/updatedrun/858 new file mode 100644 index 00000000..c1e98867 --- /dev/null +++ b/updatedrun/858 @@ -0,0 +1,5 @@ +50 +152 +4.5 +9528879682.38199 +5019624000.0 \ No newline at end of file diff --git a/updatedrun/859 b/updatedrun/859 new file mode 100644 index 00000000..160b9f31 --- /dev/null +++ b/updatedrun/859 @@ -0,0 +1,5 @@ +50 +152 +5.0 +10086615682.38199 +5577360000.0 \ No newline at end of file diff --git a/updatedrun/86 b/updatedrun/86 new file mode 100644 index 00000000..046cba3f --- /dev/null +++ b/updatedrun/86 @@ -0,0 +1,5 @@ +0 +81 +3.5 +6548783345.708975 +3100356000.0 \ No newline at end of file diff --git a/updatedrun/860 b/updatedrun/860 new file mode 100644 index 00000000..f6531703 --- /dev/null +++ b/updatedrun/860 @@ -0,0 +1,5 @@ +50 +163 +0.5 +4964876377.82418 +617884000.0 \ No newline at end of file diff --git a/updatedrun/861 b/updatedrun/861 new file mode 100644 index 00000000..a9b329ae --- /dev/null +++ b/updatedrun/861 @@ -0,0 +1,5 @@ +50 +163 +1.0 +5386462180.788179 +1235768000.0 \ No newline at end of file diff --git a/updatedrun/862 b/updatedrun/862 new file mode 100644 index 00000000..2fb0a09d --- /dev/null +++ b/updatedrun/862 @@ -0,0 +1,5 @@ +50 +163 +1.5 +5884607347.16847 +1853652000.0 \ No newline at end of file diff --git a/updatedrun/863 b/updatedrun/863 new file mode 100644 index 00000000..4e16e525 --- /dev/null +++ b/updatedrun/863 @@ -0,0 +1,5 @@ +50 +163 +2.0 +6325252785.758964 +2471536000.0 \ No newline at end of file diff --git a/updatedrun/864 b/updatedrun/864 new file mode 100644 index 00000000..1f92c3d7 --- /dev/null +++ b/updatedrun/864 @@ -0,0 +1,5 @@ +50 +163 +2.5 +6938465516.534766 +3089420000.0 \ No newline at end of file diff --git a/updatedrun/865 b/updatedrun/865 new file mode 100644 index 00000000..518d98e2 --- /dev/null +++ b/updatedrun/865 @@ -0,0 +1,5 @@ +50 +163 +3.0 +7561474350.7472315 +3707304000.0 \ No newline at end of file diff --git a/updatedrun/866 b/updatedrun/866 new file mode 100644 index 00000000..80dee1fb --- /dev/null +++ b/updatedrun/866 @@ -0,0 +1,5 @@ +50 +163 +3.5 +8170941936.423626 +4325188000.0 \ No newline at end of file diff --git a/updatedrun/867 b/updatedrun/867 new file mode 100644 index 00000000..13f2a1d3 --- /dev/null +++ b/updatedrun/867 @@ -0,0 +1,5 @@ +50 +163 +4.0 +8788825936.42363 +4943072000.0 \ No newline at end of file diff --git a/updatedrun/868 b/updatedrun/868 new file mode 100644 index 00000000..00c52b34 --- /dev/null +++ b/updatedrun/868 @@ -0,0 +1,5 @@ +50 +163 +4.5 +9406709936.42363 +5560956000.0 \ No newline at end of file diff --git a/updatedrun/869 b/updatedrun/869 new file mode 100644 index 00000000..867f7500 --- /dev/null +++ b/updatedrun/869 @@ -0,0 +1,5 @@ +50 +163 +5.0 +10024593936.42363 +6178840000.0 \ No newline at end of file diff --git a/updatedrun/87 b/updatedrun/87 new file mode 100644 index 00000000..37b550e3 --- /dev/null +++ b/updatedrun/87 @@ -0,0 +1,5 @@ +0 +81 +4.0 +6991691345.708975 +3543264000.0 \ No newline at end of file diff --git a/updatedrun/870 b/updatedrun/870 new file mode 100644 index 00000000..d0e74f72 --- /dev/null +++ b/updatedrun/870 @@ -0,0 +1,5 @@ +61 +61 +0.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/871 b/updatedrun/871 new file mode 100644 index 00000000..e7e3836b --- /dev/null +++ b/updatedrun/871 @@ -0,0 +1,5 @@ +61 +61 +1.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/872 b/updatedrun/872 new file mode 100644 index 00000000..352d9a3b --- /dev/null +++ b/updatedrun/872 @@ -0,0 +1,5 @@ +61 +61 +1.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/873 b/updatedrun/873 new file mode 100644 index 00000000..35fe88a0 --- /dev/null +++ b/updatedrun/873 @@ -0,0 +1,5 @@ +61 +61 +2.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/874 b/updatedrun/874 new file mode 100644 index 00000000..53cea741 --- /dev/null +++ b/updatedrun/874 @@ -0,0 +1,5 @@ +61 +61 +2.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/875 b/updatedrun/875 new file mode 100644 index 00000000..581993a3 --- /dev/null +++ b/updatedrun/875 @@ -0,0 +1,5 @@ +61 +61 +3.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/876 b/updatedrun/876 new file mode 100644 index 00000000..4c701ee8 --- /dev/null +++ b/updatedrun/876 @@ -0,0 +1,5 @@ +61 +61 +3.5 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/877 b/updatedrun/877 new file mode 100644 index 00000000..bbbcca8b --- /dev/null +++ b/updatedrun/877 @@ -0,0 +1,5 @@ +61 +61 +4.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/878 b/updatedrun/878 new file mode 100644 index 00000000..edbffc8d --- /dev/null +++ b/updatedrun/878 @@ -0,0 +1,5 @@ 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00000000..f53e3a86 --- /dev/null +++ b/updatedrun/882 @@ -0,0 +1,5 @@ +61 +71 +1.5 +5172933598.256708 +164040000.0 \ No newline at end of file diff --git a/updatedrun/883 b/updatedrun/883 new file mode 100644 index 00000000..56cf71fd --- /dev/null +++ b/updatedrun/883 @@ -0,0 +1,5 @@ +61 +71 +2.0 +5227613598.256708 +218720000.0 \ No newline at end of file diff --git a/updatedrun/884 b/updatedrun/884 new file mode 100644 index 00000000..27bb5bf7 --- /dev/null +++ b/updatedrun/884 @@ -0,0 +1,5 @@ +61 +71 +2.5 +5282293598.256708 +273400000.0 \ No newline at end of file diff --git a/updatedrun/885 b/updatedrun/885 new file mode 100644 index 00000000..502a26af --- /dev/null +++ b/updatedrun/885 @@ -0,0 +1,5 @@ +61 +71 +3.0 +5336973598.256708 +328080000.0 \ No newline at end of file diff --git a/updatedrun/886 b/updatedrun/886 new file mode 100644 index 00000000..2c515a15 --- /dev/null +++ b/updatedrun/886 @@ -0,0 +1,5 @@ +61 +71 +3.5 +5391653598.256708 +382760000.0 \ No newline at end of file diff --git a/updatedrun/887 b/updatedrun/887 new file mode 100644 index 00000000..25577537 --- /dev/null +++ b/updatedrun/887 @@ -0,0 +1,5 @@ +61 +71 +4.0 +5446333598.256708 +437440000.0 \ No newline at end of file diff --git a/updatedrun/888 b/updatedrun/888 new file mode 100644 index 00000000..0a8de4ec --- /dev/null +++ b/updatedrun/888 @@ -0,0 +1,5 @@ +61 +71 +4.5 +5501013598.256708 +492120000.0 \ No newline at end of file diff --git a/updatedrun/889 b/updatedrun/889 new file mode 100644 index 00000000..9836ebe8 --- /dev/null +++ b/updatedrun/889 @@ -0,0 +1,5 @@ +61 +71 +5.0 +5555693598.256708 +546800000.0 \ No newline at end of file diff --git a/updatedrun/89 b/updatedrun/89 new file mode 100644 index 00000000..ddf532bb --- /dev/null +++ b/updatedrun/89 @@ -0,0 +1,5 @@ +0 +81 +5.0 +7877507345.708975 +4429080000.0 \ No newline at end of file diff --git a/updatedrun/890 b/updatedrun/890 new file mode 100644 index 00000000..08fd617f --- /dev/null +++ b/updatedrun/890 @@ -0,0 +1,5 @@ +61 +81 +0.5 +5118217608.059418 +109360000.0 \ No newline at end of file diff --git a/updatedrun/891 b/updatedrun/891 new file mode 100644 index 00000000..98e72e63 --- /dev/null +++ b/updatedrun/891 @@ -0,0 +1,5 @@ +61 +81 +1.0 +5226188328.703093 +218720000.0 \ No newline at end of file diff --git a/updatedrun/892 b/updatedrun/892 new file mode 100644 index 00000000..532b3728 --- /dev/null +++ b/updatedrun/892 @@ -0,0 +1,5 @@ +61 +81 +1.5 +5331644443.740555 +328080000.0 \ No newline at end of file diff --git a/updatedrun/893 b/updatedrun/893 new file mode 100644 index 00000000..d865b123 --- /dev/null +++ b/updatedrun/893 @@ -0,0 +1,5 @@ +61 +81 +2.0 +5440141067.714211 +437440000.0 \ No newline at end of file diff --git a/updatedrun/894 b/updatedrun/894 new file mode 100644 index 00000000..66ea96e9 --- /dev/null +++ b/updatedrun/894 @@ -0,0 +1,5 @@ +61 +81 +2.5 +5549423874.208561 +546800000.0 \ No newline at end of file diff --git a/updatedrun/895 b/updatedrun/895 new file mode 100644 index 00000000..d8adc89a --- /dev/null +++ b/updatedrun/895 @@ -0,0 +1,5 @@ +61 +81 +3.0 +5658783874.208561 +656160000.0 \ No newline at end of file diff --git a/updatedrun/896 b/updatedrun/896 new file mode 100644 index 00000000..c95cecc4 --- /dev/null +++ b/updatedrun/896 @@ -0,0 +1,5 @@ +61 +81 +3.5 +5768143874.208561 +765520000.0 \ No newline at end of file diff --git a/updatedrun/897 b/updatedrun/897 new file mode 100644 index 00000000..0ca2f8e1 --- /dev/null +++ b/updatedrun/897 @@ -0,0 +1,5 @@ +61 +81 +4.0 +5877503874.208561 +874880000.0 \ No newline at end of file diff --git a/updatedrun/898 b/updatedrun/898 new file mode 100644 index 00000000..d069409f --- /dev/null +++ b/updatedrun/898 @@ -0,0 +1,5 @@ +61 +81 +4.5 +5986863874.208561 +984240000.0 \ No newline at end of file diff --git a/updatedrun/899 b/updatedrun/899 new file mode 100644 index 00000000..58314b3a --- /dev/null +++ b/updatedrun/899 @@ -0,0 +1,5 @@ +61 +81 +5.0 +6096223874.208561 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/9 b/updatedrun/9 new file mode 100644 index 00000000..0483b121 --- /dev/null +++ b/updatedrun/9 @@ -0,0 +1,5 @@ +0 +0 +5.0 +5008893598.256708 +0.0 \ No newline at end of file diff --git a/updatedrun/90 b/updatedrun/90 new file mode 100644 index 00000000..b11f47dc --- /dev/null +++ b/updatedrun/90 @@ -0,0 +1,5 @@ +0 +91 +0.5 +5338089816.790452 +497588000.0 \ No newline at end of file diff --git a/updatedrun/900 b/updatedrun/900 new file mode 100644 index 00000000..1144ebc8 --- /dev/null +++ b/updatedrun/900 @@ -0,0 +1,5 @@ +61 +91 +0.5 +5172269872.900695 +164040000.0 \ No newline at end of file diff --git a/updatedrun/901 b/updatedrun/901 new file mode 100644 index 00000000..94ad9992 --- /dev/null +++ b/updatedrun/901 @@ -0,0 +1,5 @@ +61 +91 +1.0 +5334484178.677149 +328080000.0 \ No newline at end of file diff --git a/updatedrun/902 b/updatedrun/902 new file mode 100644 index 00000000..3e872153 --- /dev/null +++ b/updatedrun/902 @@ -0,0 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100644 index 00000000..5f5b7e99 --- /dev/null +++ b/updatedrun/907 @@ -0,0 +1,5 @@ +61 +91 +4.0 +6312203282.378515 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/908 b/updatedrun/908 new file mode 100644 index 00000000..bd230a65 --- /dev/null +++ b/updatedrun/908 @@ -0,0 +1,5 @@ +61 +91 +4.5 +6476243282.378515 +1476360000.0 \ No newline at end of file diff --git a/updatedrun/909 b/updatedrun/909 new file mode 100644 index 00000000..4f76f37c --- /dev/null +++ b/updatedrun/909 @@ -0,0 +1,5 @@ +61 +91 +5.0 +6640283282.378515 +1640400000.0 \ No newline at end of file diff --git a/updatedrun/91 b/updatedrun/91 new file mode 100644 index 00000000..36967e65 --- /dev/null +++ b/updatedrun/91 @@ -0,0 +1,5 @@ +0 +91 +1.0 +5561695065.334809 +995176000.0 \ No newline at end of file diff --git a/updatedrun/910 b/updatedrun/910 new file mode 100644 index 00000000..ff09c4b9 --- /dev/null +++ b/updatedrun/910 @@ -0,0 +1,5 @@ +61 +101 +0.5 +5226949872.900695 +218720000.0 \ No newline at end of file diff --git a/updatedrun/911 b/updatedrun/911 new file mode 100644 index 00000000..a35206ae --- /dev/null +++ b/updatedrun/911 @@ -0,0 +1,5 @@ +61 +101 +1.0 +5443844178.677149 +437440000.0 \ No newline at end of file diff --git a/updatedrun/912 b/updatedrun/912 new file mode 100644 index 00000000..d416c891 --- /dev/null +++ b/updatedrun/912 @@ -0,0 +1,5 @@ +61 +101 +1.5 +5657025595.77062 +656160000.0 \ No newline at end of file diff --git a/updatedrun/913 b/updatedrun/913 new file mode 100644 index 00000000..e1645718 --- /dev/null +++ b/updatedrun/913 @@ -0,0 +1,5 @@ +61 +101 +2.0 +5874874525.585486 +874880000.0 \ No newline at end of file diff --git a/updatedrun/914 b/updatedrun/914 new file mode 100644 index 00000000..f18b5723 --- /dev/null +++ b/updatedrun/914 @@ -0,0 +1,5 @@ +61 +101 +2.5 +6093483282.378515 +1093600000.0 \ No newline at end of file diff --git a/updatedrun/915 b/updatedrun/915 new file mode 100644 index 00000000..81cc581d --- /dev/null +++ b/updatedrun/915 @@ -0,0 +1,5 @@ +61 +101 +3.0 +6312203282.378515 +1312320000.0 \ No newline at end of file diff --git a/updatedrun/916 b/updatedrun/916 new file mode 100644 index 00000000..5f0f4fed --- /dev/null +++ b/updatedrun/916 @@ -0,0 +1,5 @@ +61 +101 +3.5 +6530923282.378515 +1531040000.0 \ No newline at end of file diff --git a/updatedrun/917 b/updatedrun/917 new file mode 100644 index 00000000..963c32ad --- /dev/null +++ b/updatedrun/917 @@ -0,0 +1,5 @@ +61 +101 +4.0 +6749643282.378515 +1749760000.0 \ No newline at end of file diff --git a/updatedrun/918 b/updatedrun/918 new file mode 100644 index 00000000..068dba65 --- /dev/null +++ b/updatedrun/918 @@ -0,0 +1,5 @@ +61 +101 +4.5 +6968363282.378515 +1968480000.0 \ No newline at end of file diff --git a/updatedrun/919 b/updatedrun/919 new file mode 100644 index 00000000..be61085b --- /dev/null +++ b/updatedrun/919 @@ -0,0 +1,5 @@ +61 +101 +5.0 +7187083282.378515 +2187200000.0 \ No newline at end of file diff --git a/updatedrun/92 b/updatedrun/92 new file mode 100644 index 00000000..d8ecacb1 --- /dev/null +++ b/updatedrun/92 @@ -0,0 +1,5 @@ +0 +91 +1.5 +5178589950.703514 +1492764000.0 \ No newline at end of file diff --git a/updatedrun/920 b/updatedrun/920 new file mode 100644 index 00000000..6cf722e2 --- /dev/null +++ b/updatedrun/920 @@ -0,0 +1,5 @@ +61 +112 +0.5 +5249315306.015213 +278868000.0 \ No newline at end of file diff --git a/updatedrun/921 b/updatedrun/921 new file mode 100644 index 00000000..e21a36e6 --- /dev/null +++ b/updatedrun/921 @@ -0,0 +1,5 @@ +61 +112 +1.0 +5523877181.198855 +557736000.0 \ No newline at end of file diff --git a/updatedrun/922 b/updatedrun/922 new file mode 100644 index 00000000..226fbf64 --- /dev/null +++ b/updatedrun/922 @@ -0,0 +1,5 @@ +61 +112 +1.5 +5789974172.410536 +836604000.0 \ No newline at end of file diff --git a/updatedrun/923 b/updatedrun/923 new file mode 100644 index 00000000..5d4afe15 --- /dev/null +++ b/updatedrun/923 @@ -0,0 +1,5 @@ +61 +112 +2.0 +6066618546.566912 +1115472000.0 \ No newline at end of file diff --git a/updatedrun/924 b/updatedrun/924 new file mode 100644 index 00000000..438760fc --- /dev/null +++ b/updatedrun/924 @@ -0,0 +1,5 @@ +61 +112 +2.5 +6345421596.980785 +1394340000.0 \ No newline at end of file diff --git a/updatedrun/925 b/updatedrun/925 new file mode 100644 index 00000000..457266da --- /dev/null +++ b/updatedrun/925 @@ -0,0 +1,5 @@ +61 +112 +3.0 +6624289504.971436 +1673208000.0 \ No newline at end of file diff --git a/updatedrun/926 b/updatedrun/926 new file mode 100644 index 00000000..902a415d --- /dev/null +++ b/updatedrun/926 @@ -0,0 +1,5 @@ +61 +112 +3.5 +6903157504.971436 +1952076000.0 \ No newline at end of file diff --git a/updatedrun/927 b/updatedrun/927 new file mode 100644 index 00000000..ddb242d8 --- /dev/null +++ b/updatedrun/927 @@ -0,0 +1,5 @@ +61 +112 +4.0 +7182025504.971436 +2230944000.0 \ No newline at end of file diff --git a/updatedrun/928 b/updatedrun/928 new file mode 100644 index 00000000..ca60de0c --- /dev/null +++ b/updatedrun/928 @@ -0,0 +1,5 @@ +61 +112 +4.5 +7460893504.971436 +2509812000.0 \ No newline at end of file diff --git a/updatedrun/929 b/updatedrun/929 new file mode 100644 index 00000000..a8f421fd --- /dev/null +++ b/updatedrun/929 @@ -0,0 +1,5 @@ +61 +112 +5.0 +7739761504.971436 +2788680000.0 \ No newline at end of file diff --git a/updatedrun/93 b/updatedrun/93 new file mode 100644 index 00000000..1e0ef1c9 --- /dev/null +++ b/updatedrun/93 @@ -0,0 +1,5 @@ +0 +91 +2.0 +5017119262.763685 +1990352000.0 \ No newline at end of file diff --git a/updatedrun/930 b/updatedrun/930 new file mode 100644 index 00000000..f785184c --- /dev/null +++ b/updatedrun/930 @@ -0,0 +1,5 @@ +61 +122 +0.5 +5302157614.331006 +333548000.0 \ No newline at end of file diff --git a/updatedrun/931 b/updatedrun/931 new file mode 100644 index 00000000..a65e2d78 --- /dev/null +++ b/updatedrun/931 @@ -0,0 +1,5 @@ +61 +122 +1.0 +5629835186.494194 +667096000.0 \ No newline at end of file diff --git a/updatedrun/932 b/updatedrun/932 new file mode 100644 index 00000000..45a4a5f5 --- /dev/null +++ b/updatedrun/932 @@ -0,0 +1,5 @@ +61 +122 +1.5 +5951129051.575294 +1000644000.0 \ No newline at end of file diff --git a/updatedrun/933 b/updatedrun/933 new file mode 100644 index 00000000..8477b3b5 --- /dev/null +++ b/updatedrun/933 @@ -0,0 +1,5 @@ +61 +122 +2.0 +6282547396.361888 +1334192000.0 \ No newline at end of file diff --git a/updatedrun/934 b/updatedrun/934 new file mode 100644 index 00000000..9798d6d0 --- /dev/null +++ b/updatedrun/934 @@ -0,0 +1,5 @@ +61 +122 +2.5 +6616027940.341164 +1667740000.0 \ No newline at end of file diff --git a/updatedrun/935 b/updatedrun/935 new file mode 100644 index 00000000..7634461b --- /dev/null +++ b/updatedrun/935 @@ -0,0 +1,5 @@ +61 +122 +3.0 +6949574267.494617 +2001288000.0 \ No newline at end of file diff --git a/updatedrun/936 b/updatedrun/936 new file mode 100644 index 00000000..28b7f2e0 --- /dev/null +++ b/updatedrun/936 @@ -0,0 +1,5 @@ +61 +122 +3.5 +7283122267.494617 +2334836000.0 \ No newline at end of file diff --git a/updatedrun/937 b/updatedrun/937 new file mode 100644 index 00000000..05f1ffeb --- /dev/null +++ b/updatedrun/937 @@ -0,0 +1,5 @@ +61 +122 +4.0 +7616670267.494617 +2668384000.0 \ No newline at end of file diff --git a/updatedrun/938 b/updatedrun/938 new file mode 100644 index 00000000..cf48b496 --- /dev/null +++ b/updatedrun/938 @@ -0,0 +1,5 @@ +61 +122 +4.5 +7950218267.494617 +3001932000.0 \ No newline at end of file diff --git a/updatedrun/939 b/updatedrun/939 new file mode 100644 index 00000000..9b4426e9 --- /dev/null +++ b/updatedrun/939 @@ -0,0 +1,5 @@ +61 +122 +5.0 +8283766267.494617 +3335480000.0 \ No newline at end of file diff --git a/updatedrun/94 b/updatedrun/94 new file mode 100644 index 00000000..d5f341e1 --- /dev/null +++ b/updatedrun/94 @@ -0,0 +1,5 @@ +0 +91 +2.5 +5388669514.182622 +2487940000.0 \ No newline at end of file diff --git a/updatedrun/940 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